Environmental topic N/A http://cds.cern.ch 2202239 SzGeCERN 20170819022832.0 DOI 10.1093/mnras/stw2195 oai:arXiv.org:1607.07934 http://export.arxiv.org/oai2 2016-09-07 2016-09-09T05:15:24Z arXiv true arXiv arXiv:1607.07934 eng Oman, Kyle A Satellite quenching timescales in clusters from projected phase space measurements matched to simulated orbits 2016 26 Jul 2016 14 p Comments: 14 pages, 10 figures, 1 table. MNRAS submitted. Comments welcome Comments: 14 pages, 10 figures, 1 table. MNRAS submitted. Comments welcome arXiv We measure the star formation quenching efficiency and timescale in cluster environments. Our method uses N-body simulations to estimate the probability distribution of possible orbits for a sample of observed SDSS galaxies in and around clusters based on their position and velocity offsets from their host cluster. We study the relationship between their star formation rates and their likely orbital histories via a simple model in which star formation is quenched once a delay time after infall has elapsed. Our orbit library method is designed to isolate the environmental effect on the star formation rate due to a galaxy's present-day host cluster from `pre-processing' in previous group hosts. We find that quenching of satellite galaxies of all stellar masses in our sample ($10^{9}-10^{11.5}\,{\rm M}_\odot$) by massive ($> 10^{13}\,{\rm M}_\odot$) clusters is essentially $100$ per cent efficient. Our fits show that all galaxies quench on their first infall, approximately at or within a Gyr of their first pericentric passage. There is little variation in the onset of quenching from galaxy-to-galaxy: the spread in this time is at most $\sim 2$ Gyr at fixed $M_*$. Higher mass satellites quench earlier, with very little dependence on host cluster mass in the range probed by our sample. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Hudson, Michael J http://arxiv.org/pdf/1607.07934.pdf Preprint n 201630 11 PREPRINT Hidden 2202030 SzGeCERN 20171103220200.0 oai:arXiv.org:1607.07191 http://export.arxiv.org/oai2 2016-07-26 2016-07-27T05:20:53Z arXiv true arXiv arXiv:1607.07191 eng Li, Wei Pan, Xiong Song, Ningfang Xu, Xiaobin Lu, Xiangxiang http://arxiv.org/pdf/1607.07191.pdf Preprint n 201630 A phase-locked laser system based on modulation technique for atom interferometry 25 Jul 2016 mult. p We demonstrate a Raman laser system based on phase modulation technology and phase feedback control. The two laser beams with frequency difference of 6.835 GHz are modulated using electro-optic and acousto-optic modulators, respectively. Parasitic frequency components produced by the electro-optic modulator are filtered using a Fabry-Perot Etalon. A straightforward phase feedback system restrains the phase noise induced by environmental perturbations. The phase noise of the laser system stays below -125 rad2/Hz at frequency offset higher than 500 kHz. Overall phase noise of the laser system is evaluated by calculating the contribution of the phase noise to the sensitivity limit of a gravimeter. The results reveal that the sensitivity limited by the phase noise of our laser system is lower than that of a state-of-art optical phase-lock loop scheme when a gravimeter operates at short pulse duration, which makes the laser system a promising option for our future application of atom interferometer. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv physics.optics LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2201399 SzGeCERN 20171106203505.0 oai:arXiv.org:1607.06702 http://export.arxiv.org/oai2 2016-07-25 2016-07-25T05:18:50Z arXiv true arXiv arXiv:1607.06702 eng Handschy, Mark A Cooperative Institute for Research in the Environmental Sciences, University of Colorado, Boulder, USA Enduring Energy LLC, Boulder, USA Rose, Stephen Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, USA Apt, Jay Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, USA Tepper School of Business, Carnegie Mellon University, Pittsburgh, USA http://arxiv.org/pdf/1607.06702.pdf Preprint n 201630 Is it always windy somewhere? Occurrence of low-wind-power events over large areas 22 Jul 2016 15 p The incidence of widespread low-wind conditions is important to the reliability and economics of electric grids with large amounts of wind power. In order to investigate a future in which wind plants are geographically widespread but interconnected, we examine how frequently low generation levels occur for wind power aggregated from distant, weakly-correlated wind generators. We simulate the wind power using anemometer data from nine tall-tower sites spanning the contiguous United States. We find that the number of low-power hours per year declines exponentially with the number of sites being aggregated. Hours with power levels below 5% of total capacity, for example, drop by a factor of about 60, from 2140 h/y for the median single site to 36 h/y for the generation aggregated from all nine sites; the standard deviations drops by a factor of 3. The systematic dependence of generation-level probability distribution "tails" on both number and power threshold is well described by the theory of Large Deviations. Combining this theory for tail behavior with the normal distribution for behavior near the mean allows us to estimate, without the use of any adjustable parameters, the entire generation duration curve as a function of the number of essentially independent sites in the array. Comments: 15 pages, 11 figures http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv physics.ao-ph LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2200974 SzGeCERN 20170905222223.0 oai:arXiv.org:1607.06369 http://export.arxiv.org/oai2 2016-07-22 2016-07-22T05:21:22Z arXiv true arXiv arXiv:1607.06369 eng Shukla, Nimesh Pomarico, Enrico Chen, Lee Chergui, Majed Othon, Christina M http://arxiv.org/pdf/1607.06369.pdf Preprint n 201629 Retardation of Bulk Water Dynamics by Disaccharide Osmolytes 21 Jul 2016 mult. p The bioprotective nature of disaccharides is hypothesized to derive from the modification of the hydrogen bonding network of water which protects biomolecules through lowered water activity at the protein interface. Using ultrafast fluorescence spectroscopy we measured the relaxation of bulk water dynamics around the induced dipole moment of two fluorescent probes (Lucifer Yellow Ethylenediamine and Tryptophan). Our results indicate a reduction in bulk water reorganization rate of approximately of 30%. We observe this retardation in the low concentration regime measured at 0.1M and 0.25 M, far below the onset of glassy dynamics. This reduction in water activity could be significant in crowded biological systems, contributing to global change in protein energy landscape, resulting in a significant enhancement of protein stability under environmental stress. We observed similar dynamic reduction for two disaccharide osmolytes, sucrose and trehalose, with trehalose being the more effective dynamic reducer. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv cond-mat.soft arXiv q-bio.BM arXiv physics.bio-ph LANL EDS cond-mat.soft LANL EDS q-bio.BM LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2200839 SzGeCERN 20170819022820.0 DOI 10.1093/mnras/stw2403 oai:arXiv.org:1607.06091 http://export.arxiv.org/oai2 2016-09-26 2016-09-26T05:15:21Z arXiv true arXiv arXiv:1607.06091 eng Woo, J Satellite Quenching in Relation to Galaxy Inner Density and the Halo Environment 2016 20 Jul 2016 14 p Comments: 14 pages + Appendix, 12 figures, MNRAS submitted Comments: 14 pages + Appendix, 12 figures, MNRAS accepted arXiv Using the Sloan Digital Sky Survey, we adopt the sSFR-$\Sigma_{1kpc}$ diagram as a diagnostic tool to understand the nature of quenching in different environments. sSFR is the specific star formation rate, and $\Sigma_{1kpc}$ is the stellar surface density in the inner kpc. Although both the host halo mass and group-centric distance affect the satellite population, we find that these two properties can be characterised by a single number, the quenched fraction, such that key features of the sSFR-$\Sigma_{1kpc}$ diagram vary smoothly with this proxy for the "environment". Particularly, the sSFR of star-forming galaxies decreases smoothly with the quenched fraction of a given environment. Furthermore, the location of the transition galaxies (i.e., the "green valley" or GV) in the sSFR-$\Sigma_{1kpc}$ diagram also varies smoothly with the environment, $\Sigma_{1kpc}$ being lower for satellites than the field, and lower for satellites in larger halos and at smaller radial distances within the same-mass halos. We interpret this shift as indicating the relative importance in different environments of today's field quenching track vs. the cluster quenching track. These environmental effects in the sSFR-$\Sigma_{1kpc}$ diagram are most significant in our lowest mass range ($9.75 < \log M_{*}/M_{\odot} < 10$). One feature of the sSFR-$\Sigma_{1kpc}$ diagram that is shared between all environments is that at a given $M_{*}$ quenched galaxies have higher $\Sigma_{1kpc}$ than the star-forming population. These results disfavour scenarios that quench satellites without any (subsequent) change in $\Sigma_{1kpc}$ or $M_{*}$. We discuss possible scenarios to explain the difference in $\Sigma_{1kpc}$ between GV and quenched satellites. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Carollo, C M Faber, S M Dekel, A Tacchella, S http://arxiv.org/pdf/1607.06091.pdf Preprint n 201629 11 PREPRINT Hidden 2200420 SzGeCERN 20170819022816.0 oai:arXiv.org:1607.05406 http://export.arxiv.org/oai2 2016-07-20 2016-07-21T05:15:18Z arXiv true arXiv Inspire 1476988 arXiv:1607.05406 eng Luo, Wentao Galaxy-Galaxy Weak Lensing Measurements from SDSS: I. Image Processing and Lensing signals 2016 19 Jul 2016 19 p Comments: 19pages, 12 figures ApJ submitted As the first paper in a series on the study of the galaxy-galaxy lensing from Sloan Digital Sky Survey Data Release 7 (SDSS DR7), we present our image processing pipeline that corrects the systematics primarily introduced by the Point Spread Function (PSF). Using this pipeline, we processed SDSS DR7 imaging data in $r$ band and generated a background galaxy catalog containing the shape information of each galaxy. Based on our own shape measurements of the galaxy images from SDSS DR7, we extract the galaxy-galaxy (GG) lensing signals around foreground spectroscopic galaxies binned in different luminosity and stellar mass. The overall signals are in good agreement with those obtained by \citet{Mandelbaum2005, Mandelbaum2006} from the SDSS DR4. The results in this paper with higher signal to noise ratio is due to the larger survey area than SDSS DR4, confirm that more luminous/massive galaxies bear stronger GG lensing signal. We also divide the foreground galaxies into red/blue and star forming/quenched subsamples and measured their GG lensing signals, respectively. We find that, at a specific stellar mass/luminosity, the red/quenched galaxies have relatively stronger GG lensing signals than their counterparts especially at large radii. These GG lensing signals can be used to probe the galaxy-halo mass relations and their environmental dependences in the halo occupation or conditional luminosity function framework. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.CO LANL EDS Yang, Xiaohu Zhang, Jun Tweed, Dylan Fu, Liping Mo, H J Bosch, Frank C van den Shu, Chenggang Li, Ran Li, Nan Liu, Xiangkun Pan, Chuzhong Wang, Yiran Radovich, Mario http://arxiv.org/pdf/1607.05406.pdf Preprint n 201629 11 PREPRINT Hidden 2199554 SzGeCERN 20171102143142.0 oai:arXiv.org:1607.04146 http://export.arxiv.org/oai2 2016-07-15 2016-07-16T05:18:56Z arXiv true arXiv arXiv:1607.04146 eng Yu, Zechuan Lau, Denvid http://arxiv.org/pdf/1607.04146.pdf Preprint n 201628 Comments: Conference proceeding for: Zechuan Yu and Denvid Lau (2014), "Molecular mechanics of chitin-protein interface", 7th World Congress of Biomechanics, 6-11 July, Boston, MA, USA PREPRINT Hidden Molecular Mechanics of Chitin-Protein Interface: Terminus and Side Chain 12 Jul 2016 Chitin and protein are two main building blocks for many natural biomaterials. The interaction between chitin and protein critically determines the properties of the composite biological materials. As living organisms usually encounter complex ambient conditions like water, pH and ions are critical factors towards the structural integrity of biomaterials. It is therefore essential to study the chitin-protein interface under different environmental conditions. Here, an atomistic model consisting of a chitin substrate and a protein filament is constructed, which is regarded as a representative of the chitin-protein interface existing in many chitin-based biomaterials. Based on this model, the mechanical properties of chitin-protein interface under different moisture and pH values are investigated through molecular dynamics simulations. The results reveal a weakening effect of water towards the chitin-protein interface, as well as acidity, i.e. the protonated protein forms a stronger adhesion to chitin than that in the alkaline environment. In addition, the effect from side-chain of protein is studied and it is found that certain kinds of amino acid can form hydrophobic connections to chitin surface, which means that these peptides partly dodge the weakening effect of water. Our observation indicates that terminuses and side-chains in protein are of importance in forming interfacial hydrogen bonds. From our full atomistic models, we can observe some molecular mechanisms about how protein interacts with chitin in different conditions, which may spotlight the engineering on biomaterials with similar interfaces. Comments: Conference proceeding for: Zechuan Yu and Denvid Lau (2014), "Molecular mechanics of chitin-protein interface", 7th World Congress of Biomechanics, 6-11 July, Boston, MA, USA http://creativecommons.org/licenses/by/4.0/ arXiv LANL EDS cond-mat.mtrl-sci arXiv Other Fields of Physics arXiv q-bio.BM arXiv cond-mat.mtrl-sci LANL EDS physics.bio-ph LANL EDS q-bio.BM LANL EDS 2016 PREPRINT 11 2199444 SzGeCERN 20170819022808.0 DOI 10.3847/2041-8205/826/2/L28 oai:arXiv.org:1607.04040 http://export.arxiv.org/oai2 2016-08-17 2016-08-19T05:15:09Z arXiv true arXiv arXiv:1607.04040 eng Hayashi, Masao Enhanced Star Formation of Less Massive Galaxies in a Proto-Cluster at z=2.5 2016 14 Jul 2016 5 p Comments: 5 pages, 3 figures, 1 table, accepted for publication in the ApJ Letters Comments: 5 pages, 3 figures, 1 table, accepted for publication in the ApJ Letters arXiv We investigate a correlation between star-formation rate (SFR) and stellar mass for Halpha emission line galaxies (HAEs) in one of the richest proto-clusters ever known at z~2.5, USS 1558-003 proto-cluster. This study is based on a 9.7-hour narrow-band imaging data with MOIRCS on the Subaru telescope. We are able to construct a sample, in combination with additional H-band data taken with WFC3 on Hubble Space Telescope (HST), of 100 HAEs reaching the dust-corrected SFRs down to 3 Msun/yr and the stellar masses down to $10^{8.0}$ Msun. We find that while the star-forming galaxies with >$10^{9.3}$ Msun are located on the universal SFR-mass main sequence irrespective of the environment, less massive star-forming galaxies with <$10^{9.3}$ Msun show a significant upward scatter from the main sequence in this proto-cluster. This suggests that some less massive galaxies are in a starburst phase, although we do not know yet if this is due to environmental effects. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Kodama, Tadayuki Tanaka, Ichi Shimakawa, Rhythm Koyama, Yusei Tadaki, Ken-ichi Suzuki, Tomoko L Yamamoto, Moegi http://arxiv.org/pdf/1607.04040.pdf Preprint n 201628 11 PREPRINT Hidden 2198839 SzGeCERN 20170819020919.0 DOI 10.1093/mnras/stw1665 oai:arXiv.org:1607.03318 http://export.arxiv.org/oai2 2016-08-31 2016-09-01T05:15:15Z arXiv true arXiv Inspire 1475249 arXiv:1607.03318 eng Bluck, Asa F L The impact of galactic properties and environment on the quenching of central and satellite galaxies: A comparison between SDSS, Illustris and L-Galaxies 2016 12 Jul 2016 28 p Comments: Accepted for publication in MNRAS. 28 pages, 18 figures, 2 tables. This is the final accepted version of an earlier publication: arXiv:1412.3862 Comments: Accepted for publication in MNRAS. 28 pages, 18 figures, 2 tables. This is the final accepted version of an earlier publication: arXiv:1412.3862 arXiv We quantify the impact that a variety of galactic and environmental properties have on the quenching of star formation. We collate a sample of $\sim$ 400,000 central and $\sim$ 100,000 satellite galaxies from the Sloan Digital Sky Survey Data Release 7 (SDSS DR7). Specifically, we consider central velocity dispersion ($\sigma_{c}$), stellar, halo, bulge and disk mass, local density, bulge-to-total ratio, group-centric distance and galaxy-halo mass ratio. We develop and apply a new statistical technique to quantify the impact on the quenched fraction ($f_{\rm Quench}$) of varying one parameter, while keeping the remaining parameters fixed. For centrals, we find that the $f_{\rm Quench} - \sigma_{c}$ relationship is tighter and steeper than for any other variable considered. We compare to the Illustris hydrodynamical simulation and the Munich semi-analytic model (L-Galaxies), finding that our results for centrals are qualitatively consistent with their predictions for quenching via radio-mode AGN feedback, hinting at the viability of this process in explaining our observational trends. However, we also find evidence that quenching in L-Galaxies is too efficient and quenching in Illustris is not efficient enough, compared to observations. For satellites, we find strong evidence that environment affects their quenched fraction at fixed central velocity dispersion, particularly at lower masses. At higher masses, satellites behave identically to centrals in their quenching. Of the environmental parameters considered, local density affects the quenched fraction of satellites the most at fixed central velocity dispersion. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv Astrophysics and Astronomy arXiv Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS astro-ph.CO LANL EDS astro-ph.HE LANL EDS Mendel, J Trevor Ellison, Sara L Patton, David R Simard, Luc Henriques, Bruno M B Torrey, Paul Teimoorinia, Hossen Moreno, Jorge Starkenburg, Else http://arxiv.org/pdf/1607.03318.pdf Preprint n 201628 11 PREPRINT Hidden 2198831 SzGeCERN 20170819020918.0 DOI 10.1051/0004-6361/201628652 oai:arXiv.org:1607.03242 http://export.arxiv.org/oai2 2016-08-17 2016-08-19T05:15:09Z arXiv true arXiv arXiv:1607.03242 eng Spezzano, Silvia Chemical differentiation in a prestellar core traces non-uniform illumination 2016 12 Jul 2016 Comments: Accepted for publication in A&A Letters Comments: Accepted for publication in A&A Letters arXiv Dense cloud cores present chemical differentiation due to the different distribution of C-bearing and N-bearing molecules, the latter being less affected by freeze-out onto dust grains. In this letter we show that two C-bearing molecules, CH$_3$OH and $c$-C$_3$H$_2$, present a strikingly different (complementary) morphology while showing the same kinematics toward the prestellar core L1544. After comparing their distribution with large scale H$_2$ column density N(H$_2$) map from the Herschel satellite, we find that these two molecules trace different environmental conditions in the surrounding of L1544: the $c$-C$_3$H$_2$ distribution peaks close to the southern part of the core, where the surrounding molecular cloud has a N(H$_2$) sharp edge, while CH$_3$OH mainly traces the northern part of the core, where N(H$_2$) presents a shallower tail. We conclude that this is evidence of chemical differentiation driven by different amount of illumination from the interstellar radiation field: in the South, photochemistry maintains more C atoms in the gas phase allowing carbon chain (such as $c$-C$_3$H$_2$) production; in the North, C is mainly locked in CO and methanol traces the zone where CO starts to freeze out significantly. During the process of cloud contraction, different gas and ice compositions are thus expected to mix toward the central regions of the core, where a potential Solar-type system will form. An alternative view on carbon-chain chemistry in star-forming regions is also provided. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Bizzocchi, Luca Caselli, Paola Harju, Jorma Brünken, Sandra Astron. Astrophys. 592 2016 L11 A&A 592, L11 (2016) http://arxiv.org/pdf/1607.03242.pdf Preprint n 201628 11 PREPRINT Hidden 2198527 SzGeCERN 20170908104841.0 oai:arXiv.org:1607.02795 http://export.arxiv.org/oai2 2016-07-12 2016-07-12T05:19:21Z arXiv true arXiv arXiv:1607.02795 eng JOINT INSTITUTE FOR THE STUDY OF THE ATMOSPHERE AND OCEAN (JISAO) CONTRIBUTION NO. 2714 NOAA-PACIFIC MARINE ENVIRONMENTAL LABORATORY CONTRIBUTION NO. 4507 Percival, Donald B Denbo, Donald W Gica, Edison Huang, Paul Y Mofjeld, Harold O Spillane, Michael C Titov, Vasily V http://arxiv.org/pdf/1607.02795.pdf Preprint n 201628 Evaluating Effectiveness of DART Buoy Networks 10 Jul 2016 31 p A performance measure for a DART tsunami buoy network has been developed. The measure is based on a statistical analysis of simulated forecasts of wave heights outside an impact site and how much the forecasts are degraded in accuracy when one or more buoys are inoperative. The analysis uses simulated tsunami height time series collected at each buoy from selected source segments in the Short-term Inundation Forecast for Tsunamis (SIFT) database and involves a set for 1000 forecasts for each buoy/segment pair at sites just offshore of selected impact communities. Random error-producing scatter in the time series is induced by uncertainties in the source location, addition of real oceanic noise, and imperfect tidal removal. Comparison with an error-free standard leads to root-mean-square errors (RMSEs) for DART buoys located near a subduction zone. The RMSEs indicate which buoy provides the best forecast (lowest RMSE) for sections of the zone, under a warning-time constraint for the forecasts of 3 hrs. The analysis also shows how the forecasts are degraded (larger minimum RMSE among the remaining buoys) when one or more buoys become inoperative. The RMSEs also provide a way to assess array augmentation or redesign such as moving buoys to more optimal locations. Examples are shown for buoys off the Aleutian Islands and off the West Coast of South America for impact sites at Hilo HI and along the U.S. West Coast (Crescent City CA and Port San Luis CA). A simple measure (coded green, yellow or red) of the current status of the network's ability to deliver accurate forecasts is proposed to flag the urgency of buoy repair. Comments: 31 pages, 18 figures http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv Mathematical Physics and Mathematics arXiv physics.ao-ph LANL EDS stat.AP LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2197422 SzGeCERN 20210421213751.0 9783662505199 print version 9783662505212 electronic version 179 (NL),179 (1U) electronic version oai:cds.cern.ch:2197422 cerncds:BOOK EBL 4558194 eng QC71.82-73.8 621.042 Islam, Md Rabiul Advances in solar photovoltaic power plants Berlin Springer 2016 351 p ebook Green energy and technology Contents -- About the Editors -- Acronyms -- Symbols -- List of Figures -- List of Tables -- 1 Introduction -- Abstract -- 1 Preface -- 2 Major Objectives of the Book -- 3 Organization of the Book -- 4 Summary -- References -- 2 Photovoltaic Inverter Topologies for Grid Integration Applications -- Abstract -- 1 Introduction -- 2 Overview of PV Configuration for Grid Integration -- 2.1 Centralized Configuration -- 2.2 Module Configuration -- 2.3 String Configuration -- 2.4 Multi-string Configuration -- 3 Common-Mode Behavior -- 4 Leakage Current Reduction Methods -- 4.1 Galvanic Isolation 4.2 CMV Clamping -- 5 Transformerless PV Inverter Topologies -- 5.1 Full-Bridge Topology -- 5.2 H5 Topology -- 5.3 HERIC Topology -- 5.4 H6 Topology -- 5.5 oH5 Topology -- 5.6 HBZVR-D Topology -- 6 Loss Analysis -- 7 Summary -- References -- 3 Advanced Control Techniques for PV Maximum Power Point Tracking -- Abstract -- 1 Introduction -- 2 The Physical Basis and Mathematical Model of PV -- 2.1 The Mathematical Model -- 2.2 The Output Characteristic of the PV Cell -- 3 The Basic Theory of MPPT -- 4 The Basic Topologies of PV System for MPPT -- 4.1 The Two-Stage Grid-Connected Structure 4.1.1 The MPPT Control Based on the Inverter -- 4.1.2 The MPPT Control Based on DC/DC Converter -- 4.2 Single-Stage Grid-Connected Structure -- 4.2.1 The Three-Loop Control Structure -- 4.2.2 Dual-Loop Control Structure -- 5 The Advanced MPPT Method -- 5.1 The Fuzzy Algorithm -- 5.1.1 Fuzzification -- 5.1.2 Fuzzy Reasoning Arithmetic -- 5.1.3 Defuzzification -- 5.2 MPPT Control Based on Neural Networks -- 5.2.1 Preliminaries -- 5.2.2 Neural Network-Based Control -- 5.3 The Variable Step-Size MPPT Method -- 5.3.1 The Improved Variable Step-Size Algorithm 5.3.2 One Novel Variable Step-Size Algorithm -- 5.4 The Iterative Algorithm -- 5.4.1 Novel Linear Iteration Method -- 5.5 The Probability Algorithm -- 5.5.1 The Constant Voltage Tracking -- 5.5.2 The Probability Algorithm -- 6 Conclusion -- References -- 4 Maximum Power Point Tracking Methods for PV Systems -- Abstract -- 1 Introduction -- 2 Criteria for Assessing MPPT Methods -- 3 Conventional MPPT Methods -- 3.1 Maximum Power Point Estimation -- 3.2 Hill Climbing Methods -- 3.3 Artificial Intelligence Methods -- 3.4 Other Methods -- 3.4.1 Beta Method -- 3.4.2 Parabolic Curve Prediction 3.4.3 Ripple Correlation Control -- 3.4.4 Extremum Seeking Control -- 3.4.5 Bisection Search Theorem -- 3.4.6 Sliding Mode Control -- 3.4.7 Optimisation of Output Parameters -- 4 Methods Designed for MPPT Under Non-uniform Environmental Conditions -- 4.1 Modification of Conventional Techniques for MPPT Under Non-uniform Environmental Conditions -- 4.1.1 Periodic Reset and Periodic Curve Scanning -- 4.1.2 Widening Search Range -- 4.1.3 Two-Stage Method -- 4.2 Techniques Based on Observations of the I-V and P-V Characteristics for MPPT Under Non-uniform Environmental Conditions 4.3 Techniques Designed Specifically MPPT Under Non-uniform Environmental Conditions EBL201607 Engineering SzGeCERN BOOK Rahman, Faz Xu, Wei https://cds.cern.ch/auth.py?r=EBLIB_P_4558194 ebook n 201627 201607 21 PUBLIC https://catalogue.library.cern/legacy/2197422 BOOK MIGRATED 2197288 SzGeCERN 20180612223801.0 9783319260457 179 (NL),179 (1U) electronic version EBL 4201520 eng QC71.82-73.8 621.042 Bonomi, Antonio Virtual biorefinery an optimization strategy for renewable carbon valorization Cham Springer 2015 319 p Green energy and technology Intro -- Foreword -- Preface -- Acknowledgments -- Contents -- Editors and Contributors -- Abbreviations -- List of Figures -- List of Tables -- 1 Background -- 2 The Virtual Sugarcane Biorefinery Concept -- 3 The Agricultural Production Model -- 4 Biorefinery Alternatives -- 5 Biorefinery Products Logistics, Commercialization, and Use -- 6 Sustainability Assessment Methodologies -- 7 Use of the VSB to Assess Biorefinery Strategies -- 8 Use of VSB to Plan Research Programs and Public Policies -- 9 Final Remarks -- Reference -- 2.1 Agricultural Sector -- 2.2 Industrial Sector 2.3 Logistics and Use Sectors -- References -- 3.1 Biomass for Energy -- 3.2 Description of Sugarcane Production System -- 3.3 The CanaSoft Model -- 3.4 Use of CanaSoft Model -- 3.5 Adaptation of CanaSoft for Other Biomass -- References -- 4.1 Biorefinery Definition -- 4.2 Biorefinery Concepts -- 4.3 Sugarcane Biorefinery -- 4.4 Process Modeling and Simulation -- 4.5 Process Design: Sugarcane Biorefinery -- 4.6 Industrial Validation Process -- References -- 5.1 Products Logistics -- 5.2 Biorefinery Products Use -- 5.3 Log&UsoSoft Application -- References -- 6.1 Techno-Economic Analysis 6.2 Input--Output Analysis -- 6.3 Social Assessment -- 6.4 Environmental Analysis -- 6.5 Uncertainties and Risk Analysis -- 6.6 Optimization Strategy -- References -- 7.1 Case 1: First-Generation Sugarcane Facilities -- 7.2 Case 2: Second-Generation Sugarcane Facilities -- 7.3 Case 3: First-Generation Ethanol---Harvesting Extension -- 7.4 Case 4: The Biorefinery Concept---The Case of n-Butanol Production -- 7.5 Case 5: Thermochemical 2G Ethanol Production -- 7.6 Integrating Agricultural and Industrial Stages -- 7.7 Input--Output Analysis: Case Study of Ethanol Production Technologies 7.8 Social Assessment -- References -- 8.1 Introduction -- 8.2 Case Study 1: 2G Ethanol -- 8.3 Case Study 2: Vinasse---Methane Use Alternatives -- References -- References -- 3.3.1 Sugarcane Production Modeling -- 3.3.2 Agricultural Mechanized Operations -- 3.3.3 Use of Inputs -- 3.3.4 Modeling Sugarcane Production Cost -- 3.3.5 Modeling Emissions in the Sugarcane Production System -- 3.4.1 Scenario Input -- 3.4.2 Model Outputs -- 3.5.1 Energy Cane -- 3.5.2 Sweet Sorghum -- 3.5.3 Corn -- 4.2.1 Biochemical Routes -- 4.2.2 Thermochemical Routes -- 4.3.1 First-Generation Sugarcane Biorefinery 4.3.2 Second-Generation Sugarcane Biorefinery -- 4.3.3 Other Feedstocks for Biorefinery -- 4.4.1 Historical Background -- 4.4.2 Sequential Modular Approach -- 4.4.3 Simultaneous Modular Approach -- 4.4.4 Equation-Oriented Approach -- 4.4.5 Interfacing Standard -- 4.4.6 Impacts of Computer Hardware Development -- 4.4.7 Current Process Simulators -- 4.4.8 Biorefinery Applications -- 4.5.1 Input Data -- 4.5.2 First-Generation Process -- 4.5.3 Second-Generation Process: Biochemical Route -- 4.5.4 Second-Generation Process: Thermochemical Route -- 5.1.1 Ethanol Distribution Logistics 5.1.2 Modeling Ethanol Road Transportation Cavalett, Otávio Cunha, Marcelo Pereira da Lima, Marco A P 9783319260433 print version oai:cds.cern.ch:2197288 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4201520 ebook ebook Engineering SzGeCERN EBL201607 BOOK n 201627 201607 21 PUBLIC BOOK DELETED 2197282 SzGeCERN 20190321204915.0 9781317535744 65.93 (NL),54.94 (3U),43.95 (1U) electronic version oai:cds.cern.ch:2197282 cerncds:BOOK EBL 4174996 eng 621.31924 Linsley, Trevor Advanced electrical installation level 3 8th ed. Abingdon Taylor and Francis 2015 441 p Cover -- Dedication -- Title -- Copyright -- Contents -- Preface -- Acknowledgements -- Chapter 1 C&G unit 201/501: Health and safety in building services engineering -- Chapter 2 C&G unit 301: Understand the fundamental principles and requirements of environmental technology systems -- Chapter 3 C&G unit 302: Principles of electrical science -- Chapter 4 C&G unit 303: Electrical installations: Fault diagnosis and rectification -- Chapter 5 C&G unit 304: Electrical installations: Inspection, testing and commissioning -- Chapter 6 C&G unit 305: Electrical systems design Answers to Check your understanding questions -- Preparing for assessment -- Appendix A: Environmental organizations -- Appendix B: Health and Safety Executive (HSE) publications and information -- Appendix C: IET Amendment 3 - a summary of changes -- Glossary of terms -- Index https://cds.cern.ch/auth.py?r=EBLIB_P_4174996 ebook ebook Engineering SzGeCERN EBL201607 BOOK n 201627 201607 21 PUBLIC BOOK DELETED 2197276 SzGeCERN 20170615235952.0 9781118782569 143.93 (NL),143.93 (3U),95.95 (1U) electronic version EBL 4038639 eng 621.4025 Puskar, John R Fuel and combustion systems safety what you don't know can kill you! Somerset Wiley 2013 369 p Title Page -- Copyright -- Foreword -- Preface -- Chapter 1: What You Don't Know Can Kill You -- 1.1 Knowledge Gaps in Operating Fuel Systems and Combustion Equipment -- 1.2 Managing Fuel Systems and Combustion Equipment Risks -- 1.3 The Creation of Fuel Systems and Combustion Equipment Codes and Standards -- 1.4 Fuel System Codes and Standards -- 1.5 Combustion Equipment Codes and Standards -- 1.6 Other Widely Recognized Code- and Standards-Related Organizations -- 1.7 Safety Instrumented Systems and Safety Integrity Levels -- 1.8 The World of Insurance and Combustion Equipment 1.9 Personal Criminal Liability -- Notes and References -- Chapter 2: Combustion Basics -- 2.1 Combustion Defined -- 2.2 Fuels -- 2.3 Heat/Ignition -- 2.4 Oxygen/Air -- 2.5 Combustion Chemistry -- 2.6 Environmental Emission Issues -- 2.7 Basic Burner Design Issues -- 2.8 Draft Systems -- 2.9 Understanding and Evaluating Flames -- 2.10 Fuel/Air Ratio Evaluations -- Notes and References -- Chapter 3: Natural Gas Piping Basics -- 3.1 Natural Gas Piping Codes and Standards -- 3.2 General Industrial Utilities Piping Fundamentals -- 3.3 Manual Isolation Valves -- 3.4 Blanks or Blinds 3.5 Steel Pipe Joining Methods -- 3.6 Fastener Issues: When a Bolt is Not Simply a Bolt -- Notes and References -- Chapter 4: Gas Supply System Issues -- 4.1 Incoming Natural Gas Systems -- 4.2 Piping Corrosion Protection -- 4.3 Considerations for Limiting Access to Service Entrances -- 4.4 Gas Supplies from Digesters and Landfills -- 4.5 Incoming Propane Service Considerations -- Notes and References -- Chapter 5: Gas Piping Repairs and Cleaning -- 5.1 Key Steps to Safe Gas Piping Repairs -- 5.2 Planning the Project -- 5.3 Isolation -- 5.4 Prerepair Venting and Purging of Flammable Gases 5.5 Leak Checking and Pressure Testing -- 5.6 Postrepair Purge -- 5.7 Reintroduction of Natural Gas: Startup -- 5.8 Gas Sampling and Detection -- 5.9 Nitrogen-Handling Issues to Consider -- 5.10 The World of Gas Line Cleaning -- 5.11 NFPA 54: Changes Related to Purging Issues -- 5.12 Highlights of and Commentary Regarding the New NFPA 56 Standard -- Notes and References -- Chapter 6: Understanding Fuel Trains and Combustion Equipment -- 6.1 Fuel Train Components and Their Purpose -- 6.2 Basic Operations of Fuel Trains -- 6.3 Oil Firing Systems -- 6.4 Oven and Furnace Types -- Notes and References Chapter 7: Understanding Boilers and Their Special Risks -- 7.1 Boiler Incident Statistics -- 7.2 Boiler Types -- 7.3 Boiler-Water-Level Safety Devices -- 7.4 Boiler Pressure Safety Controls -- 7.5 Safety Relief Valves -- 7.6 Steam System Piping Special Issues -- Notes and References -- Chapter 8: Controlling Combustion Risks: People -- 8.1 Personnel Issues -- 8.2 Training -- 8.3 Culture Changes -- 8.4 Human Layers of Protection Analysis -- 8.5 Contractor Issues -- Notes and References -- Chapter 9: Controlling Combustion Risks: Policies 9.1 Policy Commandments for Fuel and Combustion System Safety 9781118779330 print version oai:cds.cern.ch:2197276 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4038639 ebook ebook Engineering SzGeCERN EBL201607 BOOK n 201627 201607 21 PUBLIC BOOK DELETED 2197245 SzGeCERN 20210421213831.0 9783662447185 print version 9783662447192 electronic version 179 (NL),179 (1U) electronic version oai:cds.cern.ch:2197245 cerncds:BOOK EBL 1968319 eng QC71.82-73.8 621.042 Gopalakrishnan, Kasthurirangan Climate change, energy, sustainability and pavements Berlin Springer 2014 517 p ebook Green energy and technology Editorial Advisory Board -- Contents -- 1 Pavement Life Cycle Assessment -- Abstract -- 1.1 Introduction to Life Cycle Assessment -- 1.1.1 Background: Why There Is a Need for Life Cycle Study -- 1.1.1.1 Requirements for Sustainable Road Pavement Construction -- 1.1.1.2 Emerging Technologies -- 1.1.1.3 `Hot Spot' Analysis -- 1.1.2 Introduction to LCA -- 1.1.2.1 The ISO 14040 Series -- 1.1.2.2 Life Cycle of a Road Pavement, Typical Inputs and Outputs -- 1.1.3 Methodological Choices in Pavement LCA -- 1.1.3.1 Scope/Boundary -- 1.1.3.2 Functional Unit -- 1.1.3.3 Allocation 1.1.4 Introduction to Different Types of LCA -- 1.1.4.1 Process Based Versus Input&hx2013 -- Output Based -- 1.1.4.2 Comparative LCA -- 1.1.4.3 Static Versus Dynamic -- 1.1.5 The Use of LCA Results -- 1.1.5.1 Product Development -- 1.1.5.2 Company Reporting (e.g. PAS 2050) -- 1.1.5.3 Marketing, Sustainability Rating Systems -- 1.2 Review of Pavement LCA Studies and Resources -- 1.2.1 A Timeline of LCA Literature -- 1.2.2 A Review of LCA Resources -- 1.2.2.1 SimaPro and GaBi -- 1.2.2.2 Portland Cement Association (Cement) -- 1.2.2.3 Eurobitume (Bitumen) 1.2.2.4 Athena Impact Estimator for Highways -- 1.2.2.5 PAS 2050 -- 1.2.2.6 asPECT -- 1.2.2.7 CHANGER -- 1.2.3 Summary of Current and Past Practice -- 1.3 A Framework for Road Pavement LCA -- 1.3.1 System Boundary and Life Cycle Stages -- 1.3.2 Non-energy Related Emissions -- 1.3.3 Data Sources -- 1.3.4 Allocation, Among Co-products -- 1.3.5 Allocation, at End-of-Life Recycling -- 1.3.6 Summary of Challenges and Way Forward -- 1.3.7 A Checklist for Conducting and Assessing Pavement LCA -- References -- 2 Application of LCA Results to Network-Level Highway Pavement Management -- Abstract 2.1 Framework, Objectives and Needs -- 2.1.1 Background: Pavement Management Systems and Life Cycle Assessment -- 2.1.1.1 Pavement Management Systems -- 2.1.1.2 Life Cycle Assessment -- 2.1.2 Objectives of Current Pavement Management Systems and Consideration of Environmental Objectives -- 2.1.3 Selection of Objectives for Network-Level Analysis of Environmental Impacts -- 2.1.4 PMS System Requirements to Meet Objectives -- 2.1.4.1 Network-Level Decisions -- 2.1.4.2 Required Data and Modeling -- 2.2 Example Application to a PMS System -- 2.2.1 Goal, Impact Category and Network Considered 2.2.1.1 Goal and Impact Category -- 2.2.1.2 Description of the Network -- 2.2.2 Network-Level Considerations for GHG Example -- 2.2.3 Specific Modeling and Data for the GHG Example -- 2.2.3.1 Emission Factors and Cost of Treatment -- 2.2.3.2 Vehicle Emission Factors -- 2.2.3.3 Traffic -- 2.2.3.4 Pavement Data -- 2.2.4 Network-Level Results from the Optimization -- 2.3 Gap Analysis for Implementation -- 2.3.1 Survey from the PMS System Capabilities -- 2.3.2 What Needs to Be Done? -- 2.4 Summary and Recommendations -- 2.4.1 Summary -- 2.4.2 Recommendations for Future Work -- References 3 The Product Process Service Life Cycle Assessment Framework to Estimate GHG Emissions for Highways Climate change, energy production and consumption, and the need to improve the sustainability of all aspects of human activity are key inter-related issues for which solutions must be found and implemented quickly and efficiently.  To be successfully implemented, solutions must recognize the rapidly changing socio-techno-political environment and multi-dimensional constraints presented by today's interconnected world.  As part of this global effort, considerations of climate change impacts, energy demands, and incorporation of sustainability concepts have increasing importance in the design, EBL201607 Engineering SzGeCERN EBL Environmental geotechnology BOOK Steyn, Wynand JvdM Harvey, John https://cds.cern.ch/auth.py?r=EBLIB_P_1968319 ebook n 201627 201607 21 PUBLIC https://catalogue.library.cern/legacy/2197245 BOOK MIGRATED 2197239 SzGeCERN 20191106223624.0 9783319092799 print version 9783319092805 electronic version 109 (NL),109 (1U) electronic version oai:cds.cern.ch:2197239 cerncds:BOOK EBL 1802697 eng QA75.5-76.95 004 Cecilio, José Wireless sensors in heterogeneous networked systems configuration and operation middleware Cham Springer 2014 156 p Computer communications and networks Preface -- Contents -- Acronyms -- List of Figures -- List of Tables -- Chapter 1: Introduction -- Chapter 2: Wireless Sensor Networks: Concepts and Components -- 2.1 Network Components -- 2.2 Hardware Platforms -- 2.3 Wireless Sensor Operating Software -- 2.3.1 TinyOS -- 2.3.2 SOS -- 2.3.3 Contiki -- 2.3.4 MANTIS -- 2.3.5 SensorOS -- 2.3.6 MagnetOS -- 2.3.7 Nano-RK -- 2.3.8 ERIKA -- 2.3.9 RETOS -- 2.3.10 LiteOS -- 2.4 Network Topologies -- 2.4.1 Star Topology -- 2.4.2 Tree Topology -- 2.4.3 Mesh Topology -- 2.4.4 Hybrid Topology -- 2.5 Data Models -- 2.6 Routing Techniques -- References Chapter 3: Application Scenarios -- 3.1 Industrial Monitoring and Control -- 3.2 Environmental Monitoring -- 3.3 Agriculture Applications -- 3.4 Smart Buildings -- 3.5 Warehouse Tracking -- 3.6 Transport Logistics -- 3.7 Surveillance -- 3.8 Health Care -- References -- Chapter 4: Existing Middleware Solutions for Wireless Sensor Networks -- 4.1 Taxonomy of Operating Software for Wireless Sensor Data -- 4.2 Remote (Re)configuration Approaches -- 4.3 Middleware Architectures Inside the WSN -- 4.3.1 Database Abstractions -- 4.3.2 Mobile Agents -- 4.3.3 Virtual Machines 4.3.4 Application-Driven and Message-Oriented Middleware -- 4.4 Internet-Based Integration of Sensor Data -- 4.5 IP-Based Homogeneous Middleware -- References -- Chapter 5: Middleware Mechanisms for Heterogeneous Wireless Sensor Networks -- 5.1 Middleware Requirements -- 5.2 Architecture -- 5.3 Platform and Communication Protocol Independency (Drivers) -- 5.4 The Catalog -- 5.5 Node Referencing and Heterogeneity -- 5.6 Publish/Subscribe External Interface -- 5.7 Data and Processing Model -- 5.8 Operations -- 5.9 User API -- Chapter 6: Middleware Implementation Details: A Case Study 6.1 Node Component Architecture -- 6.2 NC-Kernel -- 6.2.1 Communication (I/O Adapter) -- 6.2.2 Agent Manager (NC-Kernel-AM) -- 6.3 SOMApp -- 6.3.1 Acquisition and Actuation (NC-SOMApp-AA) -- 6.3.2 Configuration Management (NC-SOMApp-CM) -- 6.3.3 Data Collector (NC-SOMApp-DC) -- 6.3.4 SOM Processor (NC-SOMApp-GP) -- 6.3.5 Extensibility of SOMApp -- 6.4 Remote Configuration Component (RConfig) -- 6.5 Custom Code Agents -- Reference -- Chapter 7: Programming Paradigms and Stream Processing for WSN -- 7.1 Programming Abstractions for WSNs -- 7.2 Basics of High-Level Stream Processing 7.3 Language and Architectural Features -- 7.4 A Stream Processing Language for Heterogeneous Networks with Wireless Sensors -- 7.5 The Per-Node Database Management System -- 7.5.1 Data Storage Organization -- 7.5.2 Stream Relational Algebra and Algorithm -- 7.5.3 Constrained Group By -- 7.5.3.1 Time-Interval File Seek Index -- 7.5.3.2 Group-By Time (GBTime) -- 7.5.3.3 All-Purpose Group By (GB) -- 7.5.4 Join Algorithm -- References -- Chapter 8: Experimental Validation of Middleware: Platforms, Performance and Related Issues -- 8.1 Evaluation of NC for Multiple Platforms 8.1.1 Development and Porting Between Platforms This book presents an examination of the middleware that can be used to configure and operate heterogeneous node platforms and sensor networks. The middleware requirements for a range of application scenarios are compared and analysed. The text then defines middleware architecture that has been integrated in an approach demonstrated live in a refinery. Features: presents a thorough introduction to the major concepts behind wireless sensor networks (WSNs); reviews the various application scenarios and existing middleware solutions for WSNs; discusses the middleware mechanisms necessary for hete Furtado, Pedro https://cds.cern.ch/auth.py?r=EBLIB_P_1802697 ebook ebook EBL Computer science EBL Heterogeneous computing EBL Middleware Computing and Computers SzGeCERN EBL201607 BOOK n 201627 201607 21 PUBLIC BOOK DELETED 2197227 SzGeCERN 20191106223623.0 9781447163435 print version 9781447163442 electronic version 129 (NL),129 (1U) electronic version oai:cds.cern.ch:2197227 cerncds:BOOK EBL 1781956 eng QC71.82-73.8 621.042 Shrimpton, JS Statistical treatment of turbulent polydisperse particle systems a non-sectional PDF approach London Springer 2014 127 p Green energy and technology 130 Preface -- Contents -- Acronyms -- 1 Introduction -- 1.1 Multi-phase Flows -- 1.2 Multi-phase Solution Strategies -- References -- 2 PDF Method: A Stochastic Framework -- 2.1 Definition of a Stochastic Process -- 2.2 Markov Process -- 2.3 The Chapman--Kolmogorov Equation -- 2.4 Wiener Process -- 2.5 Diffusion Process -- 2.6 Jump Process -- 2.7 Stochastic Differential Equations -- 2.8 Fluid--Particle Systems -- 2.8.1 Definition of Distribution Function -- 2.8.2 Eulerian and Lagrangian Two-Point, Two-Particle Description -- 2.8.3 One-Point Description and Consistency Relations 2.8.4 Mass Density Function -- References -- 3 Eulerian--Eulerian Field Equations -- 3.1 EE Model Development: RANS Methods -- 3.1.1 Overview -- 3.1.2 Instantaneous Equations -- 3.1.3 Averaged Equations -- 3.1.4 Eddy Viscosity Models -- 3.1.5 Second Moment Closure Models -- 3.1.6 Algebraic Models -- 3.2 EE Model Development: PDF Methods -- 3.2.1 Overview -- 3.2.2 DIA and LHDIA Closure -- 3.2.3 Furutsu--Novikov--Donsker Closure -- 3.2.4 Van Kampen Closure -- 3.2.5 Langevin Models -- 3.3 Poly-dispersed Methods -- 3.3.1 Sectional Models -- 3.3.2 Non-sectional Models -- 3.4 Summary -- References 4 A Poly-dispersed EE Model -- 4.1 Single-Particle Motion -- 4.1.1 Molecular Particle Motion -- 4.1.2 Macroscopic Particle Motion -- 4.2 Introduction to PDF Method Through Kinetic Theory -- 4.3 PDF Evolution Equation -- 4.3.1 Deterministic One-Point, Two-Particle Description -- 4.3.2 Choice of the Variables in the State Vector -- 4.3.3 Stochastic One-Point, Two-Particle Description -- 4.3.4 Transport Equation of a General Property -- 4.4 Fluid--Particle Field Equations -- 4.4.1 Fluid Field Equations -- 4.4.2 Particle Phase Mean Equations -- 4.5 Summary -- References -- 5 Closure Problem 5.1 Fluid Phase Triple Correlation -- 5.2 Particle Phase Triple Correlations -- 5.2.1 Particle Velocity Triple Correlation langleu'p,iu'p,ju'p,krangle -- 5.2.2 Mixed Triple Correlation langleu's,iu'p,ju'p,krangle -- 5.2.3 Mixed Triple Correlation langleφ'pu'p,iu'p,jrangle -- 5.2.4 Mixed Triple Correlation langleu's,iu's,ju'p,krangle -- 5.2.5 Mixed Triple Correlation langleφ'pu's,iu'p,jrangle -- 5.2.6 Mixed Triple Correlation langleφ'pφ'pu'p,irangle -- 5.2.7 Particle Diameter Triple Correlation langleφ'pφ'pφ'prangle -- 5.3 Non-integer Closure Problem -- 5.4 Summary -- References 6 PDF Reconstruction Methods -- [DELETE] -- 6.1 Introduction -- 6.2 Maximum Entropy Method -- 6.2.1 Simple Analytical Solutions Using MEM -- 6.3 Generalized Laguerre Polynomial Expansion -- 6.4 Direct Fractional Method of Moments -- 6.4.1 Fractional Derivatives and Integrals -- 6.4.2 RL Fractional Derivative -- 6.4.3 GL Fractional Derivatives -- 6.4.4 Estimating the Non-integer Moments -- 6.5 Examples -- 6.5.1 Log-Normal Distribution -- 6.5.2 Mixture of Normal Distributions -- 6.5.3 Rice--Nakagami Distribution -- 6.6 Summary -- References -- Appendix A: Averaging Operators -- Index This book introduces the modeling process of turbulent particulate flows which are encountered in many engineering and environmental applications. Views the modeling process from a mesoscopic level, and offers many numerical simulations of basic processes. Haeri, Sina Scott, Stephen J https://cds.cern.ch/auth.py?r=EBLIB_P_1781956 ebook ebook EBL Multiphase flow -- Mathematical models Engineering SzGeCERN EBL201607 BOOK n 201627 201607 21 PUBLIC BOOK DELETED 2197221 SzGeCERN 20190713224557.0 9783319046488 54.99 (NL),54.99 (1U) electronic version EBL 1697925 eng QA75.5-76.95 004 He, Shibo Energy-efficient area coverage for intruder detection in sensor networks Cham Springer 2014 104 p Springerbriefs in computer science Preface -- Contents -- Chapter 1: Introduction to Area Coverage in Sensor Networks -- 1.1 Background -- 1.2 Basic Concepts -- 1.2.1 Sensor Deployment -- 1.2.2 Sensing Models -- 1.2.3 Coverage Classification -- 1.3 The State-of-the-Art Work on Area Coverage -- 1.3.1 Deterministic Deployment -- 1.3.2 Random Deployment -- References -- Chapter 2: Energy-Efficient Capture of Stochastic Events in Sensor Networks -- 2.1 Introduction -- 2.2 Problem Setup and Performance Metrics -- 2.3 Event Capture by Periodic Sensor -- 2.4 Energy-Aware Optimization of Synchronous Periodic Schedule 2.5 Optimization of Asynchronous Periodic Schedule -- 2.6 General Regionally Synchronous Networks -- 2.7 Coordinated Sleep Under Periodic Scheduling -- 2.8 Numerical Results -- 2.8.1 Illustration of Analytical Results -- 2.8.1.1 Delay of Capture -- 2.8.1.2 Pin of Asynchronous Network -- 2.8.1.3 QE of Synchronous Network -- 2.8.1.4 QE of Asynchronous Network -- 2.8.2 Network Simulations -- 2.8.2.1 Asynchronous Network -- 2.8.2.2 Synchronous Network -- 2.8.2.3 Synchronous/Asynchronous Network Comparison -- 2.8.2.4 Regionally Synchronous Network -- 2.8.3 Summary of Experiments -- 2.9 Conclusions References -- Chapter 3: Energy-Efficient Trap Coverage in Sensor Networks -- 3.1 Introduction -- 3.2 Preliminary and Problem Formulation -- 3.2.1 Network Model -- 3.2.2 Trap Coverage Model -- 3.2.3 Minimum Weight Trap Cover Problem -- 3.3 Algorithm Design -- 3.3.1 Finding the Diameter of a Coverage Hole -- 3.3.2 Algorithm Overview -- 3.3.3 Removal Strategy Design -- 3.3.4 Algorithm Illustration -- 3.4 Performance Analysis -- 3.4.1 Theoretical Analysis -- 3.4.2 Network Lifetime Analysis -- 3.4.3 Simulation Performance -- 3.5 Localized Protocol -- 3.5.1 Protocol -- 3.5.2 Analysis 3.5.3 How to Find the Largest Diameter -- 3.6 Simulation Results -- 3.6.1 Experiment Setup -- 3.6.2 Energy Balance and Consumption -- 3.6.3 Lifetime Performance Evaluation -- 3.6.4 Communication Cost -- 3.7 Conclusions -- References -- Chapter 4: Trapping Mobile Intruders in Sensor Networks -- 4.1 Introduction -- 4.2 Preliminary and Problem Statement -- 4.2.1 Network Model -- 4.2.2 Probabilistic Trap Coverage Model -- 4.2.3 Problem Statement -- 4.3 Probabilistic Trap Coverage -- 4.3.1 Detection Gain -- 4.3.2 Impact of Maximum Speed -- 4.3.3 Circular Graph -- 4.3.4 (D,ε)-Trap Coverage 4.3.5 Solving an Open Problem in Barrier Coverage -- 4.4 Localized Protocol -- 4.4.1 Probabilistic Trap Coverage Protocol -- 4.4.2 Protocol Analysis -- 4.5 Performance Evaluation -- 4.5.1 Environment Setup -- 4.5.2 Simulation Results -- 4.6 Conclusion -- References -- Chapter 5: Conclusions This Springer Brief presents recent research results on area coverage for intruder detection from an energy-efficient perspective. These results cover a variety of topics, including environmental surveillance and security monitoring. The authors also provide the background and range of applications for area coverage and elaborate on system models such as the formal definition of area coverage and sensing models. Several chapters focus on energy-efficient intruder detection and intruder trapping under the well-known binary sensing model, along with intruder trapping under the probabilistic sens Chen, Jiming Li, Junkun 9783319046471 print version oai:cds.cern.ch:2197221 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1697925 ebook ebook EBL Intrusion detection systems (Computer security) Computing and Computers SzGeCERN EBL201607 BOOK n 201627 201607 21 PUBLIC BOOK DELETED 2197201 SzGeCERN 20161107231543.0 9783826692604 31.59 (NL),31.59 (1U) electronic version EBL 1073282 eng TK5105.88813 .C384 2012 004.6 Höllwarth, Tobias Cloud migration Frechen mitp/bhv 2012 240 p mitp professional Cover -- Title -- Imprint -- Table of Contents -- Preamble -- Acknowledgements -- 1 Introduction -- 1.1 Cloud computing in small to medium-sized companies: A travel report on the digital future -- 1.1.1 Can the Cloud be avoided? -- 1.1.2 The Cloud as pathfinder to the digital future -- 1.2 A Fictional story - Clever Inc. enters the Cloud -- 1.2.1 Clever Inc. in times of crisis -- 1.2.2 The first management meeting -- 1.2.3 The second management meeting -- 1.2.4 The ten key problem areas -- 1.2.5 Recommended actions -- 1.2.6 Conclusions -- 2 Cloud Computing Overview -- 2.1 Cloud History 2.2 Cloud Technology -- 2.3 Cloud Security -- 2.4 Cloud and the Law -- 2.4.1 Applicable law -- 2.4.2 Data protection -- 2.4.3 Compliance -- 2.4.4 Contract law -- 2.4.5 Specific contract considerations -- 2.4.6 Procurement, License Law and Penal Law -- 2.5 Cloud Economics -- 2.5.1 Why is Cloud cheaper? -- 2.5.2 How does cheaper technology get adopted? -- 2.5.3 Why is it cheaper for the supplier? -- 2.5.4 Why is it cheaper for the consumer? -- 2.5.5 The costs of Private Clouds -- 2.5.6 The economy of the future Cloud -- 2.5.7 Further reading -- 2.6 Cloud Organisational aspects 2.6.1 Organisational standardisation -- 2.6.2 Securing knowledge for the future -- 2.6.3 Cloud Computing - is it just another trend? -- 2.7 Cloud Quality and Certification -- 3 Cloud Computing Details -- 3.1 Technical background, keywords and buzzwords -- 3.1.1 Why is it worth reading this chapter? -- 3.1.2 Cloud computing - an attempted definition -- 3.1.3 Comparisons to other IT Concepts -- 3.1.4 General Deployment models -- 3.1.5 Special deployment model types -- 3.1.6 Which services does each Cloud Model offer? -- 3.1.7 Cloud Service commonly used today 3.1.8 Technical prerequisites for Cloud use -- 3.2 Cloud Security -- 3.2.1 Cloud Security: The big picture -- 3.2.2 The Risks of Cloud computing -- 3.2.3 Using risk management to prevent security incidents -- 3.2.4 Detecting security incidents -- 3.2.5 Reacting to Security incidents -- 3.2.6 Secure access - centralised administration -- 3.3 Cloud and the Law -- 3.3.1 Introduction -- 3.3.2 Choosing the Appropriate and Applicable Law -- 3.3.3 Issues of No Choice (Purchaser Perspective) -- 3.3.4 Issues of No Choice (Provider Perspective) -- 3.3.5 Need for Cloud Computing Agreements 3.3.6 Preparing the agreement -- 3.3.7 Setting up the agreement -- 3.3.8 Post Termination Issues -- 3.3.9 Warranty and liability -- 3.4 Tax and Accounting -- 3.4.1 Commercial and fiscal situation from the Cloud user's viewpoint -- 3.5 Cloud Economics -- 3.5.1 The selling process of Cloud vs. Traditional IT solutions -- 3.5.2 Cloud and the impact on Service Providers -- 3.5.3 The Foundation of a Cloud Business Model -- 3.5.4 The two Role Models - Cloud Service Vendor and Enterprise Cloud Service Buyer -- 3.5.5 A Cloud Business Strategy to kick off Cloud-Enablement 3.5.6 Further issues when using Cloud This book is designed for managers and entrepreneurs, who are considering improving the economics and flexibility of their IT solutions and infrastructures. The book is also for readers who wish to learn more about the Cloud, but do not want to become specialists.This book discusses the technical, legal, fiscal, economic, organisational and environmental aspects of Cloud services. If you are looking for practical advice on vendor selection and certification, as well as real world Cloud project case studies, this is the book to consult.It is the result of a highly cooper 9783826692246 print version oai:cds.cern.ch:2197201 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1073282 ebook ebook EBL Business -- Computer networks -- Management EBL Business -- Data processing Computing and Computers SzGeCERN EBL201607 BOOK n 201627 201607 21 PUBLIC BOOK DELETED 2197187 SzGeCERN 20170906005809.0 9789811009280 54.99 (NL),54.99 (1U) electronic version EBL 4538103 eng QC71.82-73.8 621.042 Su, Bin China's energy efficiency and conservation household behaviour, legislation, regional analysis and impacts Singapore Springer 2016 124 p Springerbriefs in environment, security, development and peace 31 Acknowledgements -- Contents -- 1 Introduction -- 2 A Survey Analysis of Energy Use and Conservation Opportunities in Chinese Households -- Abstract -- 2.1 Introduction -- 2.2 Energy Conservation Policies in the Residential Sector -- 2.3 An Overview of CRECS 2012 -- 2.3.1 Survey Design -- 2.3.2 Measuring Household Energy Efficiency -- 2.3.3 Fuel Sources and End-Use Activities -- 2.3.4 Comparison of Urban and Rural Residential Energy Consumption -- 2.4 Household Energy Conservation Opportunities and Challenges in China -- 2.4.1 Energy Efficiency for Space Heating 2.4.2 Household Energy Conservation Activities -- 2.4.3 Information and Perception Towards Policy -- 2.5 Conclusion -- References -- 3 Household Energy Saving in China: The Challenge of Changing Behaviour -- Abstract -- 3.1 Introduction -- 3.2 The International Experience -- 3.3 Household Energy Saving in China -- 3.4 The Survey in Chongqing -- 3.5 Awareness, Attitudes and Stated Preferences in Chongqing -- 3.6 Appliance Purchase and Energy-Use Behaviours in Chongqing -- 3.7 Awareness-Behaviour and Value-Action Gaps in Chongqing -- 3.8 Conclusions: Policy Implications -- References 4 Prospects for Energy Savings and GHG Emissions Reductions from Energy Efficiency -- Abstract -- 4.1 Introduction -- 4.2 Historical Contribution of EEI to ESER in the 11th Five-Year Period -- 4.2.1 The Decomposition Method -- 4.2.2 Decomposition of Changes in Energy Consumption and Carbon Emissions in the 11th Five-Year Period -- 4.3 Potential Effect of EEI on ESER -- 4.3.1 Economy-Energy-Environment Model for China (CN3EM) -- 4.3.1.1 Production -- 4.3.1.2 Household Consumption -- 4.3.1.3 Investment -- 4.3.1.4 Government -- 4.3.1.5 Trade -- 4.3.1.6 Energy Consumption and Carbon Emissions 4.3.1.7 Equilibrium Conditions -- 4.3.1.8 Macro Closure -- 4.3.1.9 Dynamic -- 4.3.2 Data Preparation and Scenarios Designation -- 4.3.2.1 Data -- 4.3.2.2 Simulation Strategy -- 4.3.3 Simulation Results -- 4.3.3.1 Macro-effect of EEI -- 4.3.3.2 Sector Effect of EEI -- 4.3.3.3 Sensitivity Analysis -- 4.4 Discussion: Opportunities and Challenges of EEI in China -- 4.5 Conclusion -- References -- 5 Energy and Pollution Efficiencies in China's Regions -- Abstract -- 5.1 Introduction -- 5.2 Methodology -- 5.2.1 Environmental DEA Technology 5.2.2 Efficiency Measure: Russell-Based Directional Distance Function -- 5.2.3 The Ecological Total-Factor Energy and Pollution Efficiencies -- 5.3 Empirical Findings -- 5.3.1 Data -- 5.3.2 Results -- 5.4 Conclusions -- References -- 6 The Legal Challenges of Legislation and Policies Relating to Energy Conservation and Energy Efficiency in China -- Abstract -- 6.1 Introduction -- 6.2 Basic Legislation and Policy Frameworks Relating to Conservation and Energy Efficiency -- 6.2.1 Basic Laws -- 6.2.1.1 Energy Conservation Law -- 6.2.1.2 Renewable Energy Law -- 6.2.1.3 Electric Power Law and Coal Law 6.2.2 Basic National Plans Thomson, Elspeth 9789811009273 print version oai:cds.cern.ch:2197187 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4538103 ebook ebook Engineering SzGeCERN EBL201607 BOOK n 201627 201607 21 PUBLIC BOOK DELETED 2196803 SzGeCERN 20170819020903.0 DOI 10.1093/mnras/stw1828 oai:arXiv.org:1607.01242 http://export.arxiv.org/oai2 2016-09-21 2016-09-22T05:15:30Z arXiv true arXiv arXiv:1607.01242 eng Underwood, Daniel S ExoMol molecular line lists - XVII The rotation-vibration spectrum of hot SO$_3$ 2016 05 Jul 2016 15 p Comments: 15 pages, 10 figures, 9 tables MNRAS submitted Comments: 15 pages, 10 figures, 9 tables MNRAS submitted arXiv Sulphur trioxide (SO$_3$) is a trace species in the atmospheres of the Earth and Venus, as well as well as being an industrial product and an environmental pollutant. A variational line list for $^{32}$S$^{16}$O$_{3}$, named UYT2, is presented containing 21 billion vibration-rotation transitions. UYT2 can be used to model infrared spectra of SO$_3$ at wavelengths longwards of 2 $\mu$m ($\nu < 5000$ cm$^{-1}$) for temperatures up to 800 K. Infrared absorption cross sections are also recorded at 300 and 500 C are used to validate the UYT2 line list. The intensities in UYT2 are scaled to match the measured cross sections. The line list is made available in electronic form as supplementary data to this article and at \url{www.exomol.com}. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv Chemical Physics and Chemistry arXiv PREPRINT astro-ph.EP LANL EDS physics.chem-ph LANL EDS Yurchenko, Sergei N Tennyson, Jonathan Al-Refaie, Ahmed F Clausen, Sønnik Fateev, Alexander http://arxiv.org/pdf/1607.01242.pdf Preprint n 201627 11 PREPRINT Hidden 2196661 SzGeCERN 20210422084112.0 9789811001543 print version 9789811001550 electronic version electronic version DOI 10.1007/978-981-10-0155-0 e-proceedings oai:cds.cern.ch:2196661 cerncds:CONF eng TA1-2040 624 23 20150921 3rd International Civil and Infrastructure Engineering Conference Kuala lumpur, Malaysia 21 - 22 Sep 2015 2015 kualalumpur20150921 3 MY InCIEC 2015 20150922 Singapore Springer 2016 ebook Timber Engineering -- Concrete Waste and Earthquake Engineering -- Flood Management and Intelligence Development -- Fluvial And River Engineering Dynamics -- Transportation Systems, Infrastructure and Intelligent Transport -- Geotechnical Engineering -- Innovative Construction Materials & Structures -- Bioremediation and Engineering -- Synergistic Innovative Management -- Nano-Materials For Engineering. The special focus of these proceedings is on the areas of infrastructure engineering and sustainability management. They provide detailed information on innovative research developments in construction materials and structures, in addition to a compilation of interdisciplinary findings combining nano-materials and engineering. The coverage of cutting-edge infrastructure and sustainability issues in engineering includes earthquakes, bioremediation, synergistic management, timber engineering, flood management and intelligent transport systems. Engineering SPR201607 SzGeCERN Engineering SPR Environmental engineering SPR Biotechnology SPR Environmental EngineeringBiotechnology CONFERENCE PROCEEDINGS Yusoff, Marina ed. Hamid, Nor ed. Arshad, Mohd ed. Arshad, Ahmad ed. Ridzuan, Ahmad ed. Awang, Haryati ed. InCIEC 2015 Acronym SPR n 201627 201607 42 PUBLIC https://catalogue.library.cern/legacy/2196661 PROCEEDINGS MIGRATED 2196655 SzGeCERN 20210422084116.0 9783319393445 print version 9783319393452 electronic version electronic version DOI 10.1007/978-3-319-39345-2 e-proceedings oai:cds.cern.ch:2196655 cerncds:CONF eng Q342 23 006.3 20160615 9th KES International Conference on Intelligent Interactive Multimedia Systems and Services Puerto de la Cruz, Tenerife, Spain 15 - 17 Jun 2016 2016 puertodelacruz20160615b 9 ES IIMSS-16 20160617 Cham Springer 2016 ebook Smart innovation, systems and technologies 55 2190-3018 Analysis of Similarity Measurements in CBIR Using Clustered Tamura Features For Biomedical Images -- 2-Stripes Block-Circulant LDPC Codes for Single Bursts Correction -- Data Dictionary Extraction for Robust Emergency Detection -- SmartCARE - An ICT Platform in the Domain of Stroke Pathology To Manage Rehabilitation Treatment and Telemonitoring at Home -- Optimal Design of IPsec-based Mobile Virtual Private Networks for Secure Transfer of Multimedia Data -- Malicious Event Detecting in Twitter Communities -- Adopting Decision Tree Based Policy Enforcement Mechanism to Protect Reconfigurable Devices -- Arabic Named Entity Recognition: A Survey and Analysis -- Exploitation of Web Resources Towards Increased Conversions and Effectiveness -- How to Manage Keys and Reconfiguration in WSNs Exploiting SRAM Based PUFs -- Fast Salient Object Detection in Non-Stationary Video Sequences Based on Spatial Saliency Maps -- Global Motion Estimation Using Saliency Maps in Non-Stationary Videos with Static Scenes -- SVM-Based Cancer Grading from Histopathological Images using Morphological and Topological Features of Glands and Nuclei.-On Preservation of Video Data When Transmitting in Systems That Use Open Networks -- An invariant subcode of linear code -- Development Prospects of the Visual Data Compression Technologies and Advantages of New Approaches -- A Near-far Resistant Preambleless Blind Receiver with Eigenbeams Applicable to Sensor Networks -- A New Approach for Subsurface Wireless Sensor Networks -- Implementation of Mobile Sensing Platform with a Tree Based Sensor Network -- Prototype Implementation of Actuator Sensor Network for Agricultural Usages -- Development of Multi-Hop Field Sensor Networks with Arduino Board -- Communication Simulator with Network Behavior Logging Function for Supporting Network Construction Exercise for Beginners -- A New Method to Apply BRAKE to Sensor Networks Aiming At Power Saving -- A Tool for Visualization of Meteorological Data Studied for Integration in a Multi Risk Management System -- An Algorithm for Calculating Simple Evacuation Routes in Evacuation Guidance Systems -- SkyCube-tree Based Group-by Query Processing in OLAP Skyline Cubes.-Trends of Teaching/learning Issues through Analysis of Conference Presentation Articles.-Motion Prediction for Ship-Based Autonomous Air Vehicle Operations -- The Effect of Receding Horizon Pure Pursuit Control on Passenger Comfort in Autonomous Vehicles -- From Automotive to Autonomous: Time-Triggered Operating Systems -- Active Suspension Investigation Using Physical Networks -- Automatic Generation of Trajectory Data Warehouse Schemas -- A Taxonomy of Support Vector Machine for Event Streams Classification -- Social Networks Security Policies -- Recommending Multidimensional Spatial OLAP Queries.-Modeling Moving Regions: Colorectal Cancer Case Study -- A UML/MARTE Extension for Designing Energy Harvesting in Wireless Sensor Networks -- A Survey on Web Service Mining Using QoS and Recommendation Based on Multidimensional Approach -- Mapping and Pocketing Techniques for Laser Marking of 2D Shapes on 3D Curved Surfaces -- 3DHOG for Geometric Similarity Measurement and Retrieval on Digital Cultural Heritage Archives -- Computer Aided Process as 3D Data Provider in Footwear Industry -- CoolTour: VR and AR Authoring Tool to Create Cultural Experiences -- Emotional Platform for Marketing Research -- Gamification as a Key Enabling Technology for Image Sensing and Tagging -- Bridging Heritage and Tourist UX - A Socially-driven Perspective -- A Personalised Recommender System for Tourists on City Trips: Concepts And Implementation -- Experience-Driven Framework for Technologically-enhanced Environments: Key Challenges and Potential Solutions -- Touchless Disambiguation Techniques for Wearable Augmented Reality Systems -- System Architecture and Functions of Internet-Based Production of Tailor-Made Clothes -- Influence of some Parameters on Visiting Style Classification in a Cultural Heritage Case Study -- Opinions Analysis in Social Networks for Cultural Heritage Applications -- A Forward-Selection Algorithm for SVM-Based Question Classification in Cognitive Systems -- Supporting Autonomy in Agent Oriented Methodologies -- A Data-driven Approach to Dynamically Learn Focused Lexicons for Recognizing Emotions in Social Network Streams -- Disaster Prevention Virtual Advisors Through Soft Sensor Paradigm -- A Personal Intelligent Coach for Smart Embodied Learning Environments -- A model of Social Chatbot -- An Experience of Engineering of MAS for Smart Environments: Extension of ASPECS -- A Norm-based Approach for Personalising Smart Environments -- Adopting a Middleware for Self-Adaptation in the Development of a Smart Travel System -- Pentas: Using satellites for Smart Sensing -- A Multiple Data Stream Management Framework for Ambient Assisted Living Emulation -- Soft Sensor Network for Environmental Monitoring -- The Use of Eye Tracking (ET) in Targeting Sports: a review of the Studies on Quiet Eye (QE) -- The Elapsed Time During a Virtual reality Treatment for Stressful Procedures. A Pool Analysis on Breast Cancer Patients During Chemotherapy. This book contains the contributions presented at the ninth international KES conference on Intelligent Interactive Multimedia: Systems and Services, which took place in Puerto de la Cruz, Tenerife, Spain, June 15-17, 2016. It contains 65 peer-reviewed book chapters that focus on issues ranging from intelligent image or video storage, retrieval, transmission and analysis to knowledge-based technologies, from advanced information technology architectures for video processing and transmission to advanced functionalities of information and knowledge-based services. We believe that this book will serve as a useful source of knowledge for both academia and industry, for all those faculty members, research scientists, scholars, Ph.D. students and practitioners, who are interested in fundamental and applied facets of intelligent interactive multimedia. Engineering SPR201607 SzGeCERN Engineering PROCEEDINGS CONFERENCE Pietro, Giuseppe ed. Gallo, Luigi ed. Howlett, Robert ed. Jain, Lakhmi ed. IIMSS-16 Acronym Intelligent Interactive Multimedia Systems and Services 2016 201607 SPR n 201627 42 PUBLIC https://catalogue.library.cern/legacy/2196655 PROCEEDINGS MIGRATED 2196605 SzGeCERN 20210421213910.0 9783319323909 print version 9783319323923 electronic version electronic version DOI 10.1007/978-3-319-32392-3 ebook oai:cds.cern.ch:2196605 cerncds:BOOK eng HD28-70 658.514 23 Managing risk in nanotechnology topics in governance, assurance and transfer Cham Springer 2016 ebook Innovation technology and knowledge management 2197-5698 Ch 1 Nanomaterials and Nanotechnology Firms: A Typology -- Ch 2 A Bayesian Regression Methodology for Correlating Noisy Hazard and Structural Alert Parameters of Nano-materials -- Ch 3 Integrating the Social Impacts into Risk Governance of Nanotechnology -- Ch 4 International Cooperation on Nanosafety between Europe and Latin America -- Ch 5 The Inclusion of Data on Nanomaterials Transformations and Environmental Interactions into Existing Regulatory Frameworks -- Ch 6 INSCX exchange: the HUB approach to self-regulation in support of Risk Governance, Assurance and Transfer -- Ch 7 Applying "Safety by Molecular Design" Concepts to Nanomaterials Risk Management -- Ch 8 Is it too early to call for a moratorium on nanotechnology? -- Ch 9 "Nanotort" Liability at Common Law. This book aims to address how nanotechnology risks are being addressed by scientists, particularly in the areas of human health and the environment and how these risks can be measured in financial terms for insurers and regulators. It provides a comprehensive overview of nanotechnology risk measurement and risk transfer methods, including a chapter outlining how Bayesian methods can be used. It also examines nanotechnology from a legal perspective, both current and potential future outcomes. The global market for nanotechnology products was valued at $22.9 billion in 2013 and increased to about $26 billion in 2014. This market is expected to reach about $64.2 billion by 2019, a compound annual growth rate (CAGR) of 19.8% from 2014 to 2019. Despite the increasing value of nanotechnologies and their widespread use, there is a significant gap between the enthusiasm of scientists and nanotechnology entrepreneurs working in the nanotechnology space and the insurance/regulatory sector. Scientists are scarcely aware that insurers/regulators have concerns about the potential for human and environmental risk and insurers/regulators are not in a position to access the potential risk. This book aims to bridge this gap by defining the current challenges in nanotechnology across disciplines and providing a number of risk management and assessment methodologies. Featuring contributions from authors in areas such as regulation, law, ethics, management, insurance and manufacturing, this volume provides an interdisciplinary perspective that is of value to students, academics, researchers, policy makers, practitioners and society in general. Engineering SPR201607 SzGeCERN Engineering SPR Business SPR Management SPR Industrial management SPR Quality control SPR Reliability SPR Industrial safety SPR Business and Management SPR InnovationTechnology Management SPR Quality Control, Reliability, Safety and Risk BOOK Murphy, Finbarr ed. McAlea, Eamonn ed. Mullins, Martin ed. SPR n 201627 201607 21 PUBLIC https://catalogue.library.cern/legacy/2196605 BOOK MIGRATED 2196599 SzGeCERN 20210421213912.0 9783319319650 print version 9783319319674 electronic version electronic version DOI 10.1007/978-3-319-31967-4 ebook oai:cds.cern.ch:2196599 cerncds:BOOK eng T58.8 658.26 23 ZEMCH toward the delivery of zero energy mass custom homes Cham Springer 2016 ebook Springer tracts in civil engineering 2366-259X Sustainable development -- Mass housing -- Prefabrication -- Mass customisation -- Mass personalisation -- Inclusive design -- Energy use in housing -- Passive design -- Active systems -- Zero energy homes -- Building performance and simulation -- ZEMCH business operation in Japan. In this book, leading international experts explore the emerging concept of the zero energy mass custom home (ZEMCH) – designed to meet the need for social, economic, and environmental sustainability – and provide all of the knowledge required for the delivery of zero energy mass customized housing and community developments in developed and developing countries. The coverage is wide ranging, progressing from explanation of the meaning of sustainable development to discussion of challenges and trends in mass housing, the advantages and disadvantages of prefabricated methods of construction, and the concepts of mass customization, mass personalization, and inclusive design. A chapter on energy use will aid the reader in designing and retrofitting housing to reduce energy demand and/or improve energy end‐use efficiency. Passive design strategies and active technologies (especially solar) are thoroughly reviewed. Application of the ZEMCH construction criteria to new buildings and refurbishment of old houses is explained and the methods and value of building performance simulation, analyzed. The concluding chapter presents examples of ZEMCH projects from around the world, with discussion of marketing strategy, design, quality assurance, and delivery challenges. The book will be invaluable as a training/teaching tool for both students and industry partners. Engineering SPR201607 SzGeCERN Engineering SPR Energy SPR Energy efficiency SPR Energy Efficiency (incl Buildings) BOOK Noguchi, Masa ed. SPR n 201627 201607 21 PUBLIC https://catalogue.library.cern/legacy/2196599 BOOK MIGRATED 2196586 SzGeCERN 20210421213915.0 9783319236292 print version 9783319236308 electronic version electronic version DOI 10.1007/978-3-319-23630-8 ebook oai:cds.cern.ch:2196586 cerncds:BOOK eng TL787-4050.22 629.1 23 Aviation turbulence processes, detection, prediction Cham Springer 2016 ebook Part I Background -- Nature of aviation turbulence -- A History of Weather Reporting from Aircraft and Turbulence Forecasting for Commercial Aviation -- Instabilities Conducive to Aviation Turbulence -- Turbulence events interpreted by vortex rolls -- Part II Turbulence Detection Methods and Applications -- Airborne in situ measurements of turbulence -- Doppler radar measurements of turbulence -- Remote Turbulence Detection using Ground-Based Doppler Weather Radar -- Relations between lightning and convective turbulence -- LIDAR-based turbulence intensity for aviation applications -- Part III Nowcasting, forecasting, and verification -- A Summary of Turbulence Forecasting Techniques Used by the National Weather Service -- An Airline Perspective: Current and Future Vision for Turbulence Forecasting and Reporting -- Automated Turbulence Forecasting Strategies -- Aviation turbulence forecast verification -- Aviation turbulence ensemble techniques -- Part IV Observational and modeling studies -- Multi-scale observational and numerical modeling studies of the turbulence environment -- Processes underlying near-cloud turbulence -- Modeling Studies of Turbulence Mechanisms Associated with Mesoscale Convective Systems -- Numerical Modeling and Predictability of Mountain Wave-Induced Turbulence and Rotors -- Gravity waves generated by jets and fronts and their relevance for clear-air turbulence -- Turbulence and waves in the upper troposphere and lower stratosphere -- Similarity of stably geophysical stratified flows -- Part V Future developments -- Airborne remote detection of turbulence with forward-looking LIDAR -- Clear-air turbulence in a changing climate -- Application of Aviation Turbulence Information to Air-Traffic Management (ATM) -- Research needs. Anyone who has experienced turbulence in flight knows that it is usually not pleasant, and may wonder why this is so difficult to avoid. The book includes papers by various aviation turbulence researchers and provides background into the nature and causes of atmospheric turbulence that affect aircraft motion, and contains surveys of the latest techniques for remote and in situ sensing and forecasting of the turbulence phenomenon. It provides updates on the state-of-the-art research since earlier studies in the 1960s on clear-air turbulence, explains recent new understanding into turbulence generation by thunderstorms, and summarizes future challenges in turbulence prediction and avoidance. Engineering SPR201607 SzGeCERN Engineering SPR Atmospheric sciences SPR Geophysics SPR Aerospace engineering SPR Astronautics SPR Aerospace Technology and Astronautics SPR Atmospheric Sciences SPR Geophysics and Environmental Physics BOOK Sharman, Robert ed. Lane, Todd ed. SPR n 201627 201607 21 PUBLIC https://catalogue.library.cern/legacy/2196586 BOOK MIGRATED 2196400 SzGeCERN 20171106203344.0 oai:arXiv.org:1607.00217 http://export.arxiv.org/oai2 2016-07-04 2016-07-05T05:18:50Z arXiv true arXiv arXiv:1607.00217 eng Karger, Dirk Nikolaus Conrad, Olaf Böhner, Jürgen Kawohl, Tobias Kreft, Holger Soria-Auza, Rodrigo Wilber Zimmermann, Niklaus Linder, H Peter Kessler, Michael http://arxiv.org/pdf/1607.00217.pdf Preprint n 201627 Climatologies at high resolution for the Earth land surface areas 01 Jul 2016 mult. p High resolution information of climatic conditions is essential to many application in environmental sciences. Here we present the CHELSA algorithm to downscale temperature and precipitation estimates from the European Centre for Medium-Range Weather Forecast (ECMWF) climatic reanalysis interim (ERA-Interim) to a high resolution of 30 arc sec. The algorithm for temperature is based on a statistical downscaling of atmospheric temperature from the ERA-Interim climatic reanalysis. The precipitation algorithm incorporates orographic predictors such as wind fields, valley exposition, and boundary layer height, and a bias correction using Global Precipitation Climatology Center (GPCC) gridded and Global Historical Climate Network (GHCN) station data. The resulting data consist of a monthly temperature and precipitation climatology for the years 1979-2013. We present a comparison of data derived from the CHELSA algorithm with two other high resolution gridded products with overlapping temporal resolution (Tropical Rain Measuring Mission (TRMM) for precipitation, Moderate Resolution Imaging Spectroradiometer (MODIS) for temperature) and station data from the Global Historical Climate Network (GHCN). We show that the climatological data from CHELSA has a similar accuracy to other products for temperature, but that the predictions of orographic precipitation patterns are both better and at a high spatial resolution. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv physics.ao-ph LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2196302 SzGeCERN 20170906195931.0 oai:arXiv.org:1607.00348 http://export.arxiv.org/oai2 2016-07-04 2016-07-05T05:17:02Z arXiv true arXiv Inspire 1473355 arXiv:1607.00348 eng Addazi, Andrea Gauged B-L Number and Neutron--Antineutron Oscillation: Long-range Forces Mediated by Baryophotons 2016 01 Jul 2016 13 p Comments: 13 pages, 4 figures Transformation of neutron to antineutron is a small effect that has not yet been experimentally observed. %\cite{Phillips:2014fgb}. In principle, it can occur with free neutrons in the vacuum or with bound neutrons inside the nuclear environment different for neutrons and antineutrons and for that reason in the latter case it is heavily suppressed. Free neutron transformation also can be suppressed if environmental vector field exists destinguishing neutron from antineutron. We consider here the case of a vector field coupled to $B-L$ charge of the particles ($B-L$ photons) and study a possibility of this to lead to the observable suppression of neutron to antineutron transformation. The suppression effect however can be removed by applying external magnetic field. If the neutron--antineutron oscillation will be discovered in free neutron oscillation experiments, this will imply limits on $B-L$ photon coupling constant and interaction radius few order of magnitudes stronger than present limits form the tests of the equivalence principle. If $n-\bar n$ oscillation will be discovered via nuclear instability, but not in free neutron oscillations in corresponding level, this would indicate to the presence of fifth-forces mediated by such baryophotons. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Particle Physics - Phenomenology arXiv PREPRINT hep-ph LANL EDS Berezhiani, Zurab Kamyshkov, Yuri http://arxiv.org/pdf/1607.00348.pdf Preprint n 201627 11 PREPRINT Hidden 2196171 SzGeCERN 20170819020858.0 oai:arXiv.org:1607.00384 http://export.arxiv.org/oai2 2016-07-05 2016-07-05T05:15:10Z arXiv true arXiv arXiv:1607.00384 eng Morishita, Takahiro UCLA Tohoku University The Grism Lens-Amplified Survey from Space (GLASS). IX. The dual origin of low-mass cluster galaxies as revealed by new structural analyses 2016 01 Jul 2016 22 p Comments: 22 pages, 17 figures, 2 tables; submitted to ApJ. The data and catalogs are available through the GLASS web page (http://glass.astro.ucla.edu) Using deep Hubble Frontier Field imaging and slitless spectroscopy from the Grism Lens-Amplified Survey from Space, we analyze 2200 cluster and 1748 field galaxies at $0.2\leq z\leq0.7$ to determine the impact of environment on galaxy size and structure at $\log M_*/M_\odot>7.8$, an unprecedented limit at these redshifts. Based on both simple--$r_e= f(M_*)$--and more complex analyses--$r_e = f(M_*, C, n, z,\Sigma)$--we find local density ($\Sigma$) to induce a $7\%\pm3\%$ ($95\%$ confidence) reduction in half-light radii ($r_e$) beyond what can be accounted for by stellar mass ($M_*$), $U-V$ color ($C$), S\'ersic index ($n$), and redshift ($z$) effects. Almost any size difference between galaxies in high- and low-density regions is thus attributable to their different distributions in properties other than environment. Yet, we do find a clear correlation between $U-V$ color and $r_{e}$ in low-mass red cluster galaxies ($\log M_*/M_\odot<9.8$) such that bluer systems are larger, with the bluest having sizes consistent with equal-mass starforming galaxies. We take this as evidence that large low-mass red cluster galaxies are recently acquired systems that have been environmentally quenched without significant structural transformation (e.g., by ram pressure stripping or starvation). Conversely, $\sim20\%$ of small low-mass red cluster galaxies appear to have been in place since $z\gtrsim3$. Given the consistency of the smaller galaxies' stellar surface densities (and even colors) with those of systems more than ten times as massive, our findings suggest that clusters mark places where galaxy evolution is accelerated for an ancient base population spanning most masses. Late-time additions transformed by environment-specific mechanisms are mainly restricted to the lowest masses. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Abramson, Louis E UCLA Treu, Tommaso UCLA Vulcani, Benedetta U. Melbourne Schmidt, Kasper B Leibnitz-Institut/AIP Potsdam Dressler, Alan Carnegie Observatories Poggianti, Bianca Padova Astronomical Observatory/INAF Malkan, Matthew A UCLA Wang, Xin UCLA Huang, Kuang-Han UC Davis Trenti, Michele U. Melbourne Bradac, Marusa UC Davis Hoag, Austin UC Davis http://arxiv.org/pdf/1607.00384.pdf Preprint n 201627 11 PREPRINT Hidden 2196169 SzGeCERN 20170819020857.0 oai:arXiv.org:1607.00382 http://export.arxiv.org/oai2 2016-07-05 2016-07-05T05:15:10Z arXiv true arXiv Inspire 1473617 arXiv:1607.00382 eng Sluse, D H0LiCOW II. Spectroscopic survey and galaxy-group identification of the strong gravitational lens system HE0435-1223 2016 01 Jul 2016 20 p Comments: Submitted to MNRAS, 20 pages Galaxies located in the environment or on the line of sight towards gravitational lenses can significantly affect lensing observables, and can lead to systematic errors on the measurement of $H_0$ from the time-delay technique. We present the results of a systematic spectroscopic identification of the galaxies in the field of view of the lensed quasar HE0435-1223, using the W. M. Keck, Gemini and ESO-Very Large telescopes. Our new catalog triples the number of known galaxy redshifts in the vicinity of the lens, expanding to 100 the number of measured redshifts for galaxies separated by less than 3 arcmin from the lens. We complement our catalog with literature data to gather redshifts up to 15 arcmin from the lens, and search for galaxy groups or cluster projected towards HE0435-1223. We confirm that the lens is a member of a small group that includes at least 12 galaxies, and find 8 other group candidates near the line of sight of the lens. The flexion shift, namely the shift of lensed images produced by high order perturbation of the lens potential, is calculated for each galaxy/group and used to identify which objects produce the largest perturbation of the lens potential. This analysis demonstrates that i) at most three of the five brightest galaxies projected within 12 arcsec of the lens need to be explicitly used in the lens models, and ii) the groups can be treated in the lens model as an external tidal field (shear) contribution. The statistical impact of the groups and voids on the lens model is presented in a companion paper H0LiCOW III. The exhaustive lens modeling of HE0435-1223, used for cosmological inference, including all the environmental sources of systematic errors, is presented in another companion paper H0LiCOW IV. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv Astrophysics and Astronomy arXiv PREPRINT astro-ph.CO LANL EDS astro-ph.GA LANL EDS Sonnenfeld, A Rumbaugh, N Rusu, C E Fassnacht, C D Treu, T Suyu, S H Wong, K C Auger, M W Bonvin, V Collett, T Courbin, F Hilbert, S Koopmans, L V E Marshall, P J Meylan, G Spiniello, C Tewes, M http://arxiv.org/pdf/1607.00382.pdf Preprint n 201627 11 PREPRINT Hidden 2195403 SzGeCERN 20170819020847.0 oai:arXiv.org:1606.08989 http://export.arxiv.org/oai2 2016-06-30 2016-07-01T05:15:15Z arXiv true arXiv arXiv:1606.08989 eng Hatfield, P W Environmental Quenching and Galactic Conformity in the Galaxy Cross-Correlation Signal 2016 29 Jun 2016 22 p Comments: MNRAS submitted, 22 pages, 12 figures It has long been known that environment has a large effect on star formation in galaxies. There are several known plausible mechanisms to remove the cool gas needed for star formation, such as strangulation, harassment and ram-pressure stripping. It is unclear which process is dominant, and over what range of stellar mass. In this paper, we find evidence for suppression of the cross-correlation function between massive galaxies and less massive star-forming galaxies, giving a measure of how less likely a galaxy is to be star-forming in the vicinity of a more massive galaxy. We develop a formalism for modelling environmental quenching mechanisms within the Halo Occupation Distribution formalism. We find that at $z \sim 2$ environment is not a significant factor in determining quenching of star-forming galaxies, and that galaxies are quenched with similar probabilities in group environments as they are globally. However, by $z \sim 0.5$ galaxies are much less likely to be star forming when in a group environment than when not. This increased probability of being quenched does not appear to have significant radial dependence within the halo, supportive of the quenching being caused by the halting of fresh inflows of pristine gas, as opposed to by tidal stripping. Furthermore, by separating the massive sample into passive and star-forming, we see that this effect is further enhanced when the central galaxy is passive. This effect is present only in the 1-halo term (within a halo) at high redshifts ($z>1$), but is apparent in the 2-halo term at lower redshifts ($z<1$), a manifestation of galactic conformity. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Jarvis, M J http://arxiv.org/pdf/1606.08989.pdf Preprint n 201626 11 PREPRINT Hidden 2195382 SzGeCERN 20170819020846.0 DOI 10.3847/0004-637X/830/2/62 oai:arXiv.org:1606.08847 http://export.arxiv.org/oai2 2016-10-19 2016-10-20T05:15:12Z arXiv true arXiv arXiv:1606.08847 eng Merritt, Allison The Dragonfly Nearby Galaxies Survey. I. Substantial variation in the diffuse stellar halos around spiral galaxies 2016 28 Jun 2016 Comments: Resubmitted to ApJ after addressing comments from the referee Comments: Resubmitted to ApJ after addressing comments from the referee arXiv Galaxies are thought to grow through accretion; as less massive galaxies are disrupted and merge over time, their debris results in diffuse, clumpy stellar halos enveloping the central galaxy. Here we present a study of the variation in the stellar halos of galaxies, using data from the Dragonfly Nearby Galaxies Survey (DNGS). The survey consists of wide field, deep ($\mu_{g} > 31$ mag arcsec$^{-2}$) optical imaging of nearby galaxies using the Dragonfly Telephoto Array. Our sample includes eight spiral galaxies with stellar masses similar to that of the Milky Way, inclinations of $16-90$ degrees and distances between $7-18$ Mpc. We construct stellar mass surface density profiles from the observed $g$-band surface brightness in combination with the $g-r$ color as a function of radius, and compute the halo fractions from the excess stellar mass (relative to a disk$+$bulge fit) beyond $5$ half-mass radii. We find a mean halo fraction of $0.009 \pm 0.005$ and a large RMS scatter of $1.01^{+0.9}_{-0.26}$ dex. The peak-to-peak scatter is a factor of $>100$ -- while some galaxies feature strongly structured halos resembling that of M31, three of the eight have halos that are completely undetected in our data. We conclude that spiral galaxies as a class exhibit a rich variety in stellar halo properties, implying that their assembly histories have been highly non-uniform. We find no convincing evidence for an environmental or stellar mass dependence of the halo fraction in the sample. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS van Dokkum, Pieter Abraham, Roberto Zhang, Jielai http://arxiv.org/pdf/1606.08847.pdf Preprint n 201626 11 PREPRINT Hidden 2210946 SzGeCERN 20170910095903.0 oai:arXiv.org:1608.07363 http://export.arxiv.org/oai2 2016-08-29 2016-08-29T05:18:27Z arXiv true arXiv arXiv:1608.07363 eng Opoku, Alex A Phase Transition in Conditional Curie-Weiss Model 2016 26 Aug 2016 13 p Comments: 13 pages, 4 figures This paper proposes a conditional Curie-Weiss model as a model for opinion formation in a society polarized along two opinions, say opinions 1 and 2. The model comes with interaction strength $\beta>0$ and bais $h$. Here the population in question is divided into three main groups, namely: Group one consisting of individuals who have decided on opinion 1. Let the proportion of this group be given by $s$. Group two consisting of individauls who have chosen opinion 2. Let $r$ be their proportion. Group three consisting of individuals who are yet to decide and they will decide based on their environmental conditions. Let $1-s-r$ be the proportion of this group. We show that the specific magnetization of the associated conditional Curie-Weiss model has a first order phase transition (discontinuous jump in specific magnetization) at $\beta^*=\left(1-s-r\right)^{-1}$. It is also shown that not all the discontinuous jumps in magnetization will result in phase change. We point out how an extention of this model could serve as a random field Curie-Weiss model where the random field distribution has nonvanishing mean. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Mathematical Physics and Mathematics arXiv Other Fields of Physics arXiv PREPRINT math.PR LANL EDS physics.soc-ph LANL EDS Edusei, Kwame Owusu Ansah, Richard http://arxiv.org/pdf/1608.07363.pdf Preprint n 201635 11 PREPRINT Hidden 2210720 SzGeCERN 20170819022957.0 DOI 10.1093/mnras/stw1872 oai:arXiv.org:1608.07095 http://export.arxiv.org/oai2 2016-09-28 2016-09-29T05:15:13Z arXiv true arXiv arXiv:1608.07095 eng Zhi-fu, Chen Narrow C IV absorption doublets on quasar spectra of the Baryon Oscillation Spectroscopic Survey 2016 25 Aug 2016 11 p Comments: 11 pages, 12 figures, prublished by MNRAS Comments: 11 pages, 12 figures, prublished by MNRAS arXiv In this paper, we extend our works of Papers I and II, which are assigned to systematically survey \CIVab\ narrow absorption lines (NALs) with \zabs$\ll$\zem\ on quasar spectra of the Baryon Oscillation Spectroscopic Survey (BOSS), to collect \CIV\ NALs with \zabs$\approx$\zem\ from blue to red wings of \CIVwave\ emission lines. Together with Papers I and II, we have collected a total number of 41,479 \CIV\ NALs with $1.4544\le$\zabs$\le4.9224$ in surveyed spectral region redward of \lya\ until red wing of \CIVwave\ emission line. We find that the stronger \CIV\ NALs tend to be the more saturated absorptions, and associated systems (\zabs$\approx$\zem) seem to have larger absorption strengths when compared to intervening ones (\zabs$\ll$\zem). The redshift density evolution behavior of absorbers (the number of absorbers per redshift path) is similar to the history of the cosmic star formation. When compared to the quasar-frame velocity ($\beta$) distribution of \MgII\ absorbers, the $\beta$ distribution of \CIV\ absorbers is broader at $\beta\approx0$, shows longer extended tail, and exhibits a larger dispersion for environmental absorptions. In addition, for associated \CIV\ absorbers, we find that low-luminosity quasars seem to exhibit smaller $\beta$ and stronger absorptions when compared to high-luminosity quasars. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Qiu-sheng, Gu Luwenjia, Zhou Yanmei, Chen http://arxiv.org/pdf/1608.07095.pdf Preprint n 201634 11 PREPRINT Hidden 2210271 SzGeCERN 20170819022956.0 oai:arXiv.org:1608.06919 http://export.arxiv.org/oai2 2016-08-25 2016-08-25T05:15:11Z arXiv true arXiv arXiv:1608.06919 eng Barnes, Rory The Habitability of Proxima Centauri b I: Evolutionary Scenarios 2016 24 Aug 2016 62 p Comments: 62 pages, 18 figures, submitted to Astrobiology We analyze the evolution of the potentially habitable planet Proxima Centauri b to identify environmental factors that affect its long-term habitability. We consider physical processes acting on size scales ranging between the galactic scale, the scale of the stellar system, and the scale of the planet's core. We find that there is a significant probability that Proxima Centauri has had encounters with its companion stars, Alpha Centauri A and B, that are close enough to destabilize Proxima Centauri's planetary system. If the system has an additional planet, as suggested by the discovery data, then it may perturb planet b's eccentricity and inclination, possibly driving those parameters to non-zero values, even in the presence of strong tidal damping. We also model the internal evolution of the planet, evaluating the roles of different radiogenic abundances and tidal heating and find that a planet with chondritic abundance may not generate a magnetic field, but all other models do maintain a magnetic field. We find that if planet b formed in situ, then it experienced ~160 million years in a runaway greenhouse as the star contracted during its formation. This early phase may have permanently desiccated the planet and/or produced a large abiotic oxygen atmosphere. On the other hand, if Proxima Centauri b formed with a thin hydrogen atmosphere (<1% of the planet's mass), then this envelope could have shielded the water long enough for it to be retained before being blown off itself. Through modeling a wide range of Proxima b's evolutionary processes we identify pathways for planet b to be habitable and conclude that water retention is the biggest obstacle for planet b's habitability. These results are all obtained with a new software package called VPLANET. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.EP LANL EDS Deitrick, Russell Luger, Rodrigo Driscoll, Peter E Quinn, Thomas R Fleming, David P Guyer, Benjamin McDonald, Diego V Meadows, Victoria S Arney, Giada Crisp, David Domagal-Goldman, Shawn D Lincowski, Andrew Lustig-Yaeger, Jacob Schwieterman, Eddie http://arxiv.org/pdf/1608.06919.pdf Preprint n 201634 11 PREPRINT Hidden 2210031 SzGeCERN 20171106203513.0 DOI 10.1016/j.bpj.2016.07.027 oai:arXiv.org:1608.06590 http://export.arxiv.org/oai2 2016-08-24 2016-08-24T05:19:05Z arXiv true arXiv arXiv:1608.06590 eng Salvi, Joshua D Maoiléidigh, Dáibhid Ó Hudspeth, A J Biophysical Journal 111(4):798-812 (2016) http://arxiv.org/pdf/1608.06590.pdf Preprint n 201634 Identification of Bifurcations from Observations of Noisy Biological Oscillators 23 Aug 2016 Hair bundles are biological oscillators that actively transduce mechanical stimuli into electrical signals in the auditory, vestibular, and lateral-line systems of vertebrates. A bundle's function can be explained in part by its operation near a particular type of bifurcation, a qualitative change in behavior. By operating near different varieties of bifurcation, the bundle responds best to disparate classes of stimuli. We show how to determine the identity of and proximity to distinct bifurcations despite the presence of substantial environmental noise. Comments: 6 figures, 1 supporting material http://creativecommons.org/licenses/by-nc-sa/4.0/ arXiv LANL EDS Other Fields of Physics arXiv q-bio.CB arXiv physics.bio-ph LANL EDS q-bio.CB LANL EDS 2016 ARTICLE 13 ARTICLE Hidden 2209783 SzGeCERN 20170819022951.0 DOI 10.3847/0004-637X/831/1/104 oai:arXiv.org:1608.06289 http://export.arxiv.org/oai2 2016-11-02 2016-11-03T06:15:14Z arXiv true arXiv arXiv:1608.06289 eng Gupta, Anshu Radial Distribution Of ISM Gas-phase Metallicity In CLASH Clusters at z~0.35: A New Outlook On Environmental Impact On Galaxy Evolution 2016 22 Aug 2016 17 p Comments: 17 pages, 11 Figures; Accepted for publication in ApJ Comments: 17 pages, 11 Figures; Accepted for publication in ApJ arXiv We present the first observation of cluster-scale radial metallicity gradients from star-forming galaxies. We use the DEIMOS spectrograph on the Keck II telescope to observe two CLASH clusters at z~0.35: MACS1115+0129 and RXJ1532+3021. Based on our measured interstellar medium (ISM) properties of star-forming galaxies out to a radius of 2.5 Mpc from the cluster centre, we find that the galaxy metallicity decreases as a function of projected cluster-centric distance (-0.15+/-0.08 dex/Mpc}) in MACS1115+01. On the mass-metallicity relation (MZR), star-forming galaxies in MACS1115+01 are offset to higher metallicity (~0.2 dex) than the local SDSS galaxies at a fixed mass range. In contrast, the MZR of RXJ1532+30 is consistent with the local comparison sample. RXJ1532+30 exhibits a bimodal radial metallicity distribution, with one branch showing a similar negative gradient as MACS1115+01 (-0.14+/-0.05 dex/Mpc) and the other branch showing a positive radial gradient. The positive gradient branch in RXJ1532+30 is likely caused by either interloper galaxies or an in-plane merger, indicating that cluster-scale abundance gradients probe cluster substructures and thus the dynamical state of a cluster. Most strikingly, we discover that neither the radial metallicity gradient nor the offset from the MZR is driven by the stellar mass. We compare our observations with Rhapsody-G cosmological hydrodynamical zoom-in simulations of relaxed galaxy clusters and find that the simulated galaxy cluster also exhibits a negative abundance gradient, albeit with a shallower slope (-0.04+/-0.03 dex/Mpc). Our observations suggest that the negative radial gradient originates from ram-pressure stripping and/or strangulation processes in the cluster environments. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Yuan, Tiantian Tran, Kim-Vy H Martizzi, Davide Taylor, Philip Kewley, Lisa J November 2016 The Astrophysical Journal, 831:104 (15pp), 2016 November 1 http://arxiv.org/pdf/1608.06289.pdf Preprint n 201634 11 PREPRINT Hidden 2209252 SzGeCERN 20170819022947.0 oai:arXiv.org:1608.05451 http://export.arxiv.org/oai2 2016-08-22 2016-08-22T05:15:07Z arXiv true arXiv arXiv:1608.05451 eng Nayak, Omnarayani Studying Relation Between Star Formation and Molecular Clumps on Subparsec Scales in 30 Doradus 2016 18 Aug 2016 65 p Comments: Accepted by ApJ, 65 pages, 17 figures, 6 tables We present $\mathrm{^{12}CO}$ and $\mathrm{^{13}CO}$ molecular gas data observed by ALMA, massive early stage young stellar objects identified by applying color-magnitude cuts to \textit{Spitzer} and \textit{Herschel} photometry, and low-mass late stage young stellar objects identified via H$\mathrm{\alpha}$ excess. Using dendrograms, we derive properties for the molecular cloud structures. This is the first time a dendrogram analysis has been applied to extragalactic clouds. The majority of clumps have a virial parameter equal to unity or less. The size-linewidth relations of $\mathrm{^{12}CO}$ and $\mathrm{^{13}CO}$ show the clumps in this study have a larger linewidth for a given size (by factor of 3.8 and 2.5, respectively) in comparison to several, but not all, previous studies. The larger linewidths in 30 Doradus compared to typical Milky Way quiescent clumps are probably due to the highly energetic environmental conditions of 30 Doradus. The slope of the size-linewidth relations of $\mathrm{^{12}CO}$, 0.65 $\pm$ 0.04, and $\mathrm{^{13}CO}$, 0.97 $\pm$ 0.12, are on the higher end but consistent within 3$\mathrm{\sigma}$ of previous studies. Massive star formation occurs in clumps with high masses ($> 1.83 \times 10^{2}\;\mathrm{M_{\odot}}$), high linewidths (v $> 1.18\;\mathrm{km/s}$), and high mass densities ($> 6.67 \times 10^{2}\;\mathrm{M_{\odot}\;pc^{-2}}$). The majority of embedded, massive young stellar objects are associated with a clump. However the majority of more evolved, low-mass young stellar objects are not associated with a clump. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS astro-ph.SR LANL EDS Meixner, Margaret Indebetouw, Remy De Marchi, Guido Koekemoer, Anton Panagia, Nino Sabbi, Elena http://arxiv.org/pdf/1608.05451.pdf Preprint n 201634 11 PREPRINT Hidden 2209004 SzGeCERN 20171106201628.0 oai:arXiv.org:1608.05245 http://export.arxiv.org/oai2 2016-08-19 2016-08-19T05:23:04Z arXiv true arXiv arXiv:1608.05245 eng Bokhove, Onno Cheng, Bin Dedner, Andreas Esler, Gavin Norbury, John Turner, Matthew R Vanneste, Jacques Cullen, Mike http://arxiv.org/pdf/1608.05245.pdf Preprint n 201633 Convection in a Single Column -- Modelling, Algorithm and Analysis 18 Aug 2016 The group focused on a model problem of idealised moist air convection in a single column of atmosphere. Height, temperature and moisture variables were chosen to simplify the mathematical representation (along the lines of the Boussinesq approximation in a height variable defined in terms of pressure). This allowed exact simple solutions of the numerical and partial differential equation problems to be found. By examining these, we identify column behaviour, stability issues and explore the feasibility of a more general solution process. Comments: Report of a study group in "Environmental Modelling in Industry Study Group, 21st - 24th September 2015, Isaac Newton Institute, Cambridge" http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv Other Fields of Physics arXiv physics.ao-ph LANL EDS physics.geo-ph LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2208949 SzGeCERN 20171106070027.0 oai:arXiv.org:1608.04778 http://export.arxiv.org/oai2 2016-08-18 2016-08-19T05:23:04Z arXiv true arXiv Inspire 1481864 arXiv:1608.04778 eng Felfli, Z Msezane, A Z Sokolovski, D http://arxiv.org/pdf/1608.04778.pdf Preprint n 201633 Negative ion formation in lanthanide atoms: Many-body effects 16 Aug 2016 18 p Investigations of low-energy electron-scattering of the lanthanide atoms Eu, Nd, Tb, Tm demonstrate that electron-correlation effects and core polarization are the dominant fundamental many-body effects responsible for the formation of metastable states of negative ions. Ramsauer Townsend minima, shape resonances and binding energies of the resultant anions are identified and extracted from the elastic total cross sections calculated using the complex angular momentum method. The large discrepancy between the recently measured electron affinity of 0.116 and the previously measured value of 1.053 eV for Eu is resolved. Also, the previously measured electron affinities for Nd, Tb and Tm are reconciled and new values are extracted from the calculated total cross sections. The large electron affinities found here for these atoms, should be useful in negative ion nanocatalysis, including methane conversion to methanol without CO2 emission, with significant environmental impact.. The powerful complex angular momentum method which requires only a few poles, yields reliable binding energies for the metastable states of negative ions with no a priori knowledge of experimental or other theoretical data and should be applicable to other complex systems for the fundamental understanding of their interactions. Comments: 18 pages, 6 figures, 1 table http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv physics.atom-ph LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2206727 SzGeCERN 20171102142449.0 oai:arXiv.org:1608.02253 http://export.arxiv.org/oai2 2016-08-09 2016-08-10T06:21:58Z arXiv true arXiv arXiv:1608.02253 eng Ghosh, Arijit Ghosh, Ambarish http://arxiv.org/pdf/1608.02253.pdf Preprint n 201632 Helical Nanomachines for Fast Mechanical Mapping of Heterogeneous Environments 07 Aug 2016 mult. p Artificial micro and nano machines have been envisioned and demonstrated as potential candidates for variety of applications, ranging from targeted drug or gene delivery, cell manipulation, environmental sensing and many more. Here, we demonstrate the application of helical nanomachines that can measure and map the local rheological properties of a complex heterogeneous environment. The position of the helical nanomachine was controlled precisely using magnetic fields, while the instantaneous orientation provided an estimation of the viscosity of the surrounding medium with high spatial and temporal accuracy. Apart from providing viscosity estimates in purely viscous and viscoelastic media with shear rate independent viscosity (Boger fluids), their motion was also found to be extremely sensitive to fluid elasticity. Taken together we report a promising new technique of mapping the rheological properties of a complex fluidic environment by helical nanomachines with high spatial and temporal resolutions, a functionality that goes beyond the capabilities of existing passive and active microrheological methods. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Chemical Physics and Chemistry arXiv cond-mat.soft arXiv Other Fields of Physics arXiv physics.chem-ph LANL EDS cond-mat.soft LANL EDS physics.bio-ph LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2206559 SzGeCERN 20170819022900.0 oai:arXiv.org:1608.02601 http://export.arxiv.org/oai2 2016-08-10 2016-08-10T06:02:28Z arXiv true arXiv arXiv:1608.02601 eng Inoue, Tsuyoshi Formation of HI Clouds in Shock-compressed Interstellar Medium: Physical Origin of Angular Correlation Between Filamentary Structure and Magnetic Field 2016 08 Aug 2016 7 p Comments: 7 pages, 7 figures, submitted to the Astrophysical Journal Recent observations of neutral Galactic interstellar medium showed that filamentary structures of HI clouds are aligned with the interstellar magnetic field. Many interesting applications are proposed based on the alignment such as measurement of magnetic field strength through the Chandrasekhar-Fermi method and removal of polarized foreground dust emissions for the detection of inflationary polarized emission in the cosmic microwave background radiation. However, the physical origin of the alignment remains to be explained. To understand the alignment mechanism, we examine formation of HI clouds triggered by shock compression of diffuse warm neutral medium using three-dimensional magnetohydrodynamic simulations with the effects of optically thin cooling and heating. We show that the shock-compressed diffuse interstellar medium of density n~1 cm^-3 evolves into HI clouds with typical density n~50 cm^-3 via thermal instability driven by cooling, which is consistent with previous studies. We apply a machine vision transformation developed by Clark et al.(2014) to the resulting column density structures obtained by the simulations in order to measure angle correlation between filamentary structures of HI clouds and magnetic field. We find that the orientation of HI filaments depends on the environmental turbulent velocity field, particularly on the strength of shear strain in the direction of the magnetic field, which is controlled by the angle between the shock propagation direction and upstream magnetic field. When the strain along the magnetic field is weak, filamentary components of HI clouds basically lie perpendicular to the magnetic field. However, the filaments have come to align with the magnetic field, if we enhance the turbulent strain along the magnetic field or if we set turbulence in the preshock medium. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Inutsuka, Shu-ichiro http://arxiv.org/pdf/1608.02601.pdf Preprint n 201632 11 PREPRINT Hidden 2206405 20251120204802.0 oai:cds.cern.ch:2206405 cerncds:FULLTEXT BUL-NA-2016-140 en fr Stefania Pandolfi A dual tech gem for future neutrino detectors Un bijou de technologie pour les futurs détecteurs de neutrinos 2016 09/08/2016 <!--HTML--> <p class="articleHeader">Innovative technologies for next-generation neutrino detectors are currently being tested in the CERN Neutrino Platform project WA105.</p> <p>&nbsp;</p> <div class="phlwithcaption"> <div class="imageScale"><a href="https://cds.cern.ch/record/2200781/files/_MA21648.jpg?subformat=" target="_blank"><img src="https://cds.cern.ch/record/2200781/files/_MA21648.jpg?subformat=icon-640" style="height:187px; width:280px" /></a></div> <p>Installation of the WA105 cryostat. (Image : Maximilien Brice/ CERN)</p> </div> <p>The activities under way in the framework of the CERN Neutrino Platform are multiple and restless. Along with the <a href="http://home.cern/cern-people/updates/2016/06/new-wings-give-icarus-flight-second-neutrino-hunt" target="_blank">refurbishment of ICARUS</a>, another project is making great strides towards its completion: WA105. In spite of the not-so-expressive name, the technology being tested in this prototype is unprecedented.</p> <p>WA105, presently at an advanced state of assembly at CERN, is a 3x1x1-metre, 25-tonne &ldquo;dual-phase&rdquo; liquid argon time projection chamber (DLAr-TPC) demonstrator. It has been conceived in the quest to solve the technological problems related to the next generation of neutrino detectors, whose dimensions need to be gigantic in order to thoroughly study the phenomenon of neutrino oscillations. Indeed, a major new international project called <a href="http://cerncourier.com/cws/article/cern/64348" target="_blank">DUNE</a> (Deep Underground Neutrino Experiment), will be made up of four such detectors, each one measuring approximatively 60x12x12 metres &ndash; that is, 50 times the size of <a href="https://cds.cern.ch/record/2159529?ln=en" target="_blank">ICARUS</a>.</p> <p>The dual-phase technology was developed by the European LAGUNA-LBNO consortium, with R&D efforts led by ETH Zurich for more than a decade.&nbsp;In a DLAr chamber, a region of gaseous argon resides above the usual liquid phase. Ionisation electrons drift up through the detector volume and are accelerated into the gaseous region near the top of the cryostat by a strong electric field. Here, large electron multipliers (LEM) amplify the signals by a factor of about 20 (that is, for every drifted electron, 20 electrons are produced), while a multilayer anode plane collects the charged particles and provides the spatial read-out. This type of detector has several technical advantages over the ICARUS-like, single-phase liquid argon TPC: the electrons can be drifted over a longer distance, the chamber is robust against sources of environmental electronic noise, and the efficiency of the three-dimensional reconstruction of the event is enhanced because the amplified charge signals can be shared between two independent charge collection planes.</p> <p>The second demanding engineering task is connected to the cryostats of giant next-generation neutrino detectors. The solution has been found in the technology of tank ships transporting liquefied natural gas (LNG carriers). CERN is collaborating with the French enterprise Gaztransport & Technigaz (GTT), which owns the patent for a membrane-type containment system, whereby two cryogenic liners support and insulate the LNG cargo. The advantage of this system is that it&rsquo;s modular and it can be assembled to encase a large volume.</p> <p>&ldquo;For the cryogenic system, we also took advantage of CERN&rsquo;s long-standing know-how on the subject and close cooperation between the cryogenics teams at CERN and Fermilab,&rdquo; says Andr&eacute; Rubbia, spokesperson of the WA105 project and co-spokesperson of the DUNE collaboration. &ldquo;In order for the TPC to operate properly and drift electrons over long distances, an extreme degree of purity better than 0.1 parts-per-billion of the liquid argon is required,&rdquo; he continues. &ldquo;The membrane cryostat is vital to insulate the volume from external air penetration and an effective cryogenic purification system is needed to prevent contamination from internal material.&rdquo;</p> <p>The WA105 demonstrator has recently been inserted into the cryostat and the plan is to have it ready for operation in October 2016. This milestone will be a very important step for the DLAr-TPC, which so far has only been demonstrated on prototypes up to 250 litres. The next step will be to test a larger (300-tonne), full-scale engineering prototype for DUNE in the EHN1 test facility extension currently under construction in the North Area at CERN.</p> <p>&ldquo;After a decade of R&D efforts, the CERN Neutrino Platform is playing a very important role,&rdquo; Rubbia underlines. &ldquo;It enabled the speeding up of the activities, also by attracting the manpower needed, and finally permitted the transition from laboratory R&D to the industrial-scale production needed for the next generation of long-baseline neutrino experiments,&rdquo; he concludes.</p> <!--HTML--> <p class="articleHeader">Des technologies novatrices destin&eacute;es &agrave; la prochaine g&eacute;n&eacute;ration de d&eacute;tecteurs de neutrinos sont actuellement test&eacute;es par le projet WA105 de la plateforme neutrino du CERN.</p> <p>&nbsp;</p> <div class="phlwithcaption"> <div class="imageScale"><a href="https://cds.cern.ch/record/2200781/files/_MA21648.jpg?subformat=" target="_blank"><img src="https://cds.cern.ch/record/2200781/files/_MA21648.jpg?subformat=icon-640" style="height:187px; width:280px" /></a></div> <p>Mise en place du cryostat de WA105. (Image : Maximilien Brice/ CERN)</p> </div> <p>Des activit&eacute;s tr&egrave;s diverses ont lieu dans le cadre de la plateforme neutrino du CERN, dans une atmosph&egrave;re effervescente. Parall&egrave;lement &agrave; la <a href="http://home.cern/fr/cern-people/updates/2016/06/new-wings-give-icarus-flight-second-neutrino-hunt" target="_blank">r&eacute;novation d&rsquo;ICARUS</a>, un autre projet avance &agrave; grands pas vers sa finalisation&nbsp;: WA105. Malgr&eacute; son nom banal, la technologie utilis&eacute;e pour ce prototype est in&eacute;dite.</p> <p>WA105, dont l&rsquo;assemblage au CERN a d&eacute;sormais bien avanc&eacute;, est un prototype de d&eacute;monstration d&rsquo;une chambre &agrave; projection temporelle remplie d&rsquo;argon liquide double phase (DLAr-TPC), mesurant 3 x 1 x 1&nbsp;m&egrave;tres et pesant 25&nbsp;tonnes. Ce dispositif a &eacute;t&eacute; con&ccedil;u dans le but de r&eacute;soudre les probl&egrave;mes technologiques auxquels sera confront&eacute;e la prochaine g&eacute;n&eacute;ration de d&eacute;tecteurs de neutrinos, dont les dimensions doivent &ecirc;tre gigantesques pour permettre d&rsquo;&eacute;tudier minutieusement le ph&eacute;nom&egrave;ne des oscillations des neutrinos. <a href="http://cerncourier.com/cws/article/cern/64348" target="_blank">DUNE</a> (<em>Deep Underground Neutrino Experiment</em>), nouveau grand projet international d&rsquo;exp&eacute;rience neutrino souterraine, sera ainsi compos&eacute; de quatre d&eacute;tecteurs de ce type, chacun mesurant approximativement 60 x 12 x 12&nbsp;m&egrave;tres, c&rsquo;est-&agrave;-dire 50&nbsp;fois la taille d&rsquo;<a href="https://cds.cern.ch/record/2159529?ln=fr" target="_blank">ICARUS</a>.</p> <p>La technologie double phase a &eacute;t&eacute; d&eacute;velopp&eacute;e par le groupement europ&eacute;en LAGUNA-LBNO, qui a b&eacute;n&eacute;fici&eacute; des travaux de R&D men&eacute;s par l&rsquo;&Eacute;cole polytechnique f&eacute;d&eacute;rale de Zurich&nbsp;(ETHZ) pendant plus de dix ans.&nbsp;Une chambre &agrave; argon liquide double phase (DLAr) comprend une zone d&rsquo;argon gazeux au-dessus de la zone d&rsquo;argon liquide habituelle. Les &eacute;lectrons issus du processus d&rsquo;ionisation d&eacute;rivent &agrave; travers le volume du d&eacute;tecteur, et sont acc&eacute;l&eacute;r&eacute;s par un fort champ &eacute;lectrique qui les dirige vers la zone gazeuse situ&eacute;e dans la partie sup&eacute;rieure du cryostat. L&agrave;, de grands multiplicateurs d&rsquo;&eacute;lectrons (LEM) amplifient le signal d&rsquo;un facteur 20&nbsp;environ (c&rsquo;est-&agrave;-dire que, pour chaque &eacute;lectron arrivant, 20&nbsp;&eacute;lectrons sont produits), tandis qu&rsquo;un plan anodique multicouche recueille les particules charg&eacute;es et permet de reconstituer l&rsquo;&eacute;v&eacute;nement en trois dimensions. Ce type de d&eacute;tecteur pr&eacute;sente plusieurs avantages techniques par rapport au type de d&eacute;tecteurs utilis&eacute; par ICARUS, &agrave; savoir des chambres &agrave; projection temporelle remplies d&rsquo;argon liquide d&rsquo;une seule phase&nbsp;: les &eacute;lectrons peuvent &ecirc;tre d&eacute;vi&eacute;s sur une plus longue distance, la chambre r&eacute;siste bien aux sources de bruit &eacute;lectronique de l&rsquo;environnement, et la reconstitution tridimensionnelle de l&rsquo;&eacute;v&eacute;nement est plus efficace car les signaux de la charge amplifi&eacute;e peuvent &ecirc;tre partag&eacute;s entre deux surfaces de recueil de charge ind&eacute;pendantes.</p> <p>L&rsquo;autre d&eacute;fi, en mati&egrave;re d&rsquo;ing&eacute;nierie, &eacute;tait li&eacute; aux cryostats de la prochaine g&eacute;n&eacute;ration de d&eacute;tecteurs g&eacute;ants de neutrinos. La solution est venue de la technologie utilis&eacute;e dans les cargos transportant du gaz naturel liqu&eacute;fi&eacute;. Le CERN collabore avec l&rsquo;entreprise fran&ccedil;aise Gaztransport & Technigaz (GTT), qui d&eacute;tient le brevet d&rsquo;un syst&egrave;me de contention semblable &agrave; une membrane, dans lequel deux enveloppes cryog&eacute;niques contiennent et isolent le chargement de gaz naturel liqu&eacute;fi&eacute;. Ce syst&egrave;me a l&rsquo;avantage d&rsquo;&ecirc;tre modulaire et de pouvoir &ecirc;tre assembl&eacute; de mani&egrave;re &agrave; accueillir un volume important.</p> <p>&laquo;&nbsp;<em>Pour le syst&egrave;me cryog&eacute;nique, nous avons aussi b&eacute;n&eacute;fici&eacute; du savoir-faire existant de longue date au CERN dans ce domaine, et de l&rsquo;&eacute;troite collaboration entre les &eacute;quipes charg&eacute;es de la cryog&eacute;nie au CERN et au Fermilab</em>, explique Andr&eacute; Rubbia, porte-parole du projet WA105 et co-porte-parole de la collaboration DUNE. <em>Pour que la chambre &agrave; projection temporelle puisse fonctionner correctement et faire d&eacute;river les &eacute;lectrons sur de longues distances, l&rsquo;argon liquide doit avoir un degr&eacute; de puret&eacute; extr&ecirc;me, d&rsquo;un niveau sup&eacute;rieur &agrave; 0,1&nbsp;partie par milliard.</em> <em>La membrane du cryostat est essentielle pour isoler le volume et le prot&eacute;ger de la p&eacute;n&eacute;tration de l&rsquo;air ambiant, et un syst&egrave;me de purification cryog&eacute;nique efficace est n&eacute;cessaire pour emp&ecirc;cher la contamination &agrave; partir de mat&eacute;riaux internes.&nbsp;&raquo;</em></p> <p>Le prototype de d&eacute;monstration WA105 a r&eacute;cemment &eacute;t&eacute; plac&eacute; dans le cryostat, et il est pr&eacute;vu qu&rsquo;il soit pr&ecirc;t &agrave; fonctionner en octobre&nbsp;2016. Il s&rsquo;agira d&rsquo;une &eacute;tape tr&egrave;s importante pour cette chambre DLAr-TPC, le dispositif n&rsquo;ayant jusqu&rsquo;ici &eacute;t&eacute; test&eacute; que sur des prototypes contenant jusqu&rsquo;&agrave;&nbsp;250&nbsp;litres. La prochaine &eacute;tape consistera &agrave; tester pour DUNE un prototype plus grand (300 tonnes) avec des syst&egrave;mes d&rsquo;ing&eacute;nierie &agrave; &eacute;chelle r&eacute;elle, dans l&rsquo;annexe de l&rsquo;installation de test EHN1 actuellement en construction dans la zone Nord du CERN.</p> <p>&laquo;&nbsp;<em>Apr&egrave;s dix ans d&rsquo;efforts de R&D, la plateforme neutrino du CERN joue un r&ocirc;le extr&ecirc;mement important</em>, souligne Andr&eacute; Rubbia.<em> Elle a permis d&rsquo;acc&eacute;l&eacute;rer les activit&eacute;s, notamment en attirant la main-d&rsquo;&oelig;uvre n&eacute;cessaire et, en fin de compte, a permis de passer du stade de la R&D en laboratoire &agrave; celui de la production &agrave; &eacute;chelle industrielle, une &eacute;tape n&eacute;cessaire pour la prochaine g&eacute;n&eacute;ration d&#39;exp&eacute;riences neutrino longue distance.</em>&nbsp;&raquo;</p> NO noicon ONLINE 1 33/2016 CERN Bulletin 1 34/2016 CERN Bulletin 1 35/2016 CERN Bulletin 1237816 310761 http://cds.cern.ch/record/2206405/files/rsz_ma2_9931_image.jpg 1237816 222748 http://cds.cern.ch/record/2206405/files/rsz_ma2_9931_image.jpg?subformat=icon icon bulletin-editors@cern.ch student.journalist@cern.ch https://repository.cern/legacy/record/2206405 BULLETINNEWS MIGRATED 2205992 SzGeCERN 20171103140450.0 DOI 10.1016/j.chemolab.2016.07.004 oai:arXiv.org:1608.01719 http://export.arxiv.org/oai2 2016-08-09 2016-08-10T06:21:58Z arXiv true arXiv Inspire 1479784 arXiv:1608.01719 eng Huerta, Ramon Mosqueiro, Thiago S Fonollosa, Jordi Rulkov, Nikolai F Rodriguez-Lujan, Irene http://arxiv.org/pdf/1608.01719.pdf Preprint n 201632 Online Decorrelation of Humidity and Temperature in Chemical Sensors for Continuous Monitoring 04 Aug 2016 mult. p arXiv A method for online decorrelation of chemical sensor readings from the effects of environmental humidity and temperature variations is proposed. The goal is to improve the accuracy of electronic nose measurements for continuous monitoring by processing data from simultaneous readings of environmental humidity and temperature. The electronic nose setup built for this study included eight different metal-oxide sensors, temperature and humidity sensors with a wireless communication link to PC. This wireless electronic nose was used to monitor air for two years in the residence of one of the authors and collected data continuously during 510 full days with a sampling rate of 2 samples per second. To estimate the effects of variations in air humidity and temperature on the chemical sensors readings, we used a standard energy band model for an n-type metal-oxide sensor. The main assumption of the model is that variations in sensor conductivity can be expressed as a nonlinear function of changes in the semiconductor energy bands in the presence of external humidity and temperature variations. Fitting this model to the collected data, we confirmed that the most statistically significant factors are humidity changes and correlated changes of temperature and humidity. This simple model achieves excellent accuracy with $R^2$ performance close to 1. To show how the humidity-temperature correction model works for gas discrimination, we also collected 100 samples of wine and banana. The goal is to distinguish between wine, banana, and baseline. We show that pattern recognition algorithms improve performance and reliability by including the filtered signal of the chemical sensors. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv Computing and Computers arXiv Detectors and Experimental Techniques arXiv physics.data-an LANL EDS cs.CE LANL EDS physics.ins-det LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2205942 SzGeCERN 20170819022855.0 DOI 10.1007/978-3-319-27965-7_28 oai:arXiv.org:1608.01935 http://export.arxiv.org/oai2 2016-08-08 2016-08-08T05:15:10Z arXiv true arXiv Inspire 1479745 arXiv:1608.01935 eng Ramirez-Velasquez, J M X-ray outflows of active galactic nuclei warm absorbers: A 900 ks Chandra simulated spectrum 2016 05 Aug 2016 18 p Comments: 18 pages, 10 figures. Accepted in book: Recent Advances in Fluid Dynamics with Environmental Applications, pp.391-409 We report on the performance of the statistical, X-ray absorption lines identification procedure XLINE-ID. As illustration, it is used to estimate the time averaged gas density $n_H(r)$ of a representative AGN's warm absorber ($T\approx 10^5$~K) X-ray simulated spectrum. The method relies on three key ingredients: (1) a well established emission continuum level; (2) a robust grid of photoionisation models spanning several orders of magnitude in gas density ($n_H$), plasma column density ($N_H$), and in ionization states; (3) theoretical curves of growth for a large set of atomic lines. By comparing theoretical and observed equivalent widths of a large set of lines, spanning highly ionized charge states from O, Ne, Mg, Si, S, Ar, and the Fe L-shell and K-shell, we are able to infer the location of the X-ray warm absorber. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS astro-ph.HE LANL EDS Garcia, J http://arxiv.org/pdf/1608.01935.pdf Preprint n 201632 11 PREPRINT Hidden 2205941 SzGeCERN 20170819022855.0 DOI 10.1007/978-3-319-27965-7_27 oai:arXiv.org:1608.01930 http://export.arxiv.org/oai2 2016-08-08 2016-08-08T05:15:10Z arXiv true arXiv Inspire 1479744 arXiv:1608.01930 eng Ramírez-Velasquez, J M Astrophysical Fluids of Novae: High Resolution Pre-decay X-ray spectrum of V4743 Sagittarii 2016 05 Aug 2016 25 p Comments: 25 pages, 9 figures. Accepted in book: Recent Advances in Fluid Dynamics with Environmental Applications, pp.365-390 Eight X-ray observations of V4743 Sgr (2002), observed with Chandra and XMM-Newton are presented. The nova turned off some time between days 301.9 and 371, and the X-ray flux subsequently decreased from day 301.9 to 526 following an exponential decline time scale of $(96 \pm 3)$ days. We use the absorption lines present in the SSS spectrum for diagnostic purposes, and characterize the physics and the dynamics of the expanding atmosphere during the explosion of the nova. The information extracted from this first stage is then used as input for computing full photoionization models of the ejecta in V4743 Sgr. The SSS spectrum is modeled with a simple black-body and multiplicative Gaussian lines, which provides us of a general kinematical picture of the system, before it decays to its faint phase (Ness et al. 2003). In the grating spectra taken between days 180.4 and 370, we can resolve the line profiles of absorption lines arising from H-like and He-like C, N, and O, including transitions involving higher principal quantum numbers. Except for a few interstellar lines, all lines are significantly blue-shifted, yielding velocities between 1000 and 6000 km/s which implies an ongoing mass loss. It is shown that significant expansion and mass loss occur during this phase of the explosion, at a rate $\dot{M} \approx (3-5) \times 10^{-4} ~ (\frac{L}{L_{38}}) ~ M_{\odot}/yr$. Our measurements show that the efficiency of the amount of energy used for the motion of the ejecta, defined as the ratio between the kinetic luminosity $L_{\rm kin}$ and the radiated luminosity $L_{\rm rad}$, is of the order of one. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.HE LANL EDS http://arxiv.org/pdf/1608.01930.pdf Preprint n 201632 11 PREPRINT Hidden 2205677 SzGeCERN 20210422084054.0 9783319394701 print version 9783319394718 electronic version electronic version DOI 10.1007/978-3-319-39471-8 e-proceedings oai:cds.cern.ch:2205677 cerncds:CONF eng QC790.95-791.8 539.764 23 Nuclear Fusion with Polarized Nucleons & PolFusion Trento & Ferrara, Italy 14 - 15 Nov 2013 & 23 Jul 2015 2013-2015 trento20131114 IT 20150723 20131114 Cham Springer 2016 ebook Springer proceedings in physics 0930-8989 187 G. CIULLO Polarized Fusion: still appealing chance, but what is still missing? -- H. PAETZ gen. SCHIECK Spin Physics and Polarized Fusion: where we stand -- A. VASSILYEV: The double-polarized DD-fusion experiment at PNPI -- R. ENGELS – Hyper-polarized deuterium molecules: An option to produce and store polarized fuel for first tests in a fusion reactor? -- M. BÜCHER - Will nuclear polarization survives in laser-induced plasmas? -- F. BOMBARDA - Relevant spatial and time scale in tokamaks -- R. GATTO - De-polarization effects in tokamak plasmas -- S. BARTALUCCI - Ion polarization in magnetic fields -- A.M. SANDORFI and A. D’ANGELO - Plans for a Direct in situ Measurement of Fuel Polarization Survival in the DIII-D Tokamak Plasma -- J -- P. DIDELEZ – DT polarization in ICF. M. TEMPORAL - Modification of the ignition conditions for Inertial Confinement Fusion targets with polarized Deuterium-Tritium fuel -- D. TOPORKOV - Polarization of molecule: what we can learn from the nuclear physics efforts? -- N. COLONNA and N. IPPOLITO - Ion sources for fusion experiments. This book offers a detailed examination of the latest work on the potential of polarized fuel to realize the vision of energy production by nuclear fusion. It brings together contributions from nuclear physicists and fusion physicists with the aims of fostering exchange of information between the two communities, describing the current status in the field, and examining new ideas and projects under development. It is evident that polarized fuel can offer huge improvements for the first generation of fusion reactors and open new technological possibilities for future generations, including neutron lean reactors, which could be the most popular and sustainable energy production option to avoid environmental problems. Nevertheless, many questions must be resolved before polarized fuel can be used for energy production in the different reactor types. Readers will find this book to be a stimulating source of information on the key issues. It is based on contributions from leading scientists delivered at the meetings “Nuclear Fusion with Polarized Nucleons” (Trento, November 2013) and “PolFusion” (Ferrara, July 2015). . Physics and astronomy SPR201608 SzGeCERN Nuclear Physics - Theory SPR Renewable energy resources SPR Nuclear fusion SPR Electric power production SPR Renewable energy sources SPR Alternate energy sources SPR Green energy industries SPR Nuclear Fusion SPR Energy Technology SPR Atomic, Molecular, Optical and Plasma Physics SPR Renewable and Green Energy PROCEEDINGS CONFERENCE Ciullo, Giuseppe ed. Engels, Ralf ed. Büscher, Markus ed. Vasilyev, Alexander ed. Nuclear Fusion with Polarized Fuel SPR n 201631 201608 42 PUBLIC https://catalogue.library.cern/legacy/2205677 PROCEEDINGS MIGRATED 2205671 SzGeCERN 20210421213327.0 9783319400747 print version 9783319400754 electronic version electronic version DOI 10.1007/978-3-319-40075-4 ebook oai:cds.cern.ch:2205671 cerncds:BOOK eng QA276-280 519.5 23 Quirk, Thomas J Excel 2016 for physical sciences statistics a guide to solving practical problems Cham Springer 2016 ebook Excel for statistics This book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical physical science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel is an effective learning tool for quantitative analyses in environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Physical Sciences Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel 2016 to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand physical science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. Includes 165 illustrations in color Suitable for undergraduates or graduate students Prof. Tom Quirk spent six years in educational research at The American Institutes for Research and Educational Testing Service. He is Professor of Marketing in the Walker School of Business & Technology at Webster University in St. Louis, Missouri (USA). He holds a B.S. in Mathematics from John Carroll University, both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, and an MBA from The University of Missouri-St. Louis. Dr. Meghan Quirk holds a Ph.D. in Biological Education and an M.A. in Biological Sciences from the University of Northern Colorado (UNC) and a B.A. in Biology and Religion at Principia College in Elsah, Illinois. She has co-authored an article on shortgrass steppe ecosystems in Photochemistry & Photobiology. She was a National Science Foundation Fellow GK-12, and currently teaches science in Bailey, Colorado. Howard F. Horton holds an MS in Biological Sciences from the University of Northern Colorado (UNC) and a BS in Biological Sciences from Mesa State College. He has worked on research projects in Pawnee National Grasslands and Long-Term Ecological Research at Toolik Lake, Alaska. He has co-authored articles in The International Journal of Speleology and <The Journal of Cave and Karst Studies. He was a National Science Foundation Fellow GK-12. He is currently the Angler Outreach Coordinator with Colorado Parks and Wildlife. Mathematics and statistics SPR201608 SzGeCERN Mathematical Physics and Mathematics SPR Application software SPR Computer Appl in Social and Behavioral Sciences BOOK Quirk, Meghan H Horton, Howard F SPR n 201631 201608 21 PUBLIC https://catalogue.library.cern/legacy/2205671 BOOK MIGRATED 2205668 SzGeCERN 20210421213328.0 9783319338545 print version 9783319338552 electronic version electronic version DOI 10.1007/978-3-319-33855-2 ebook oai:cds.cern.ch:2205668 cerncds:BOOK eng QB1-991 520 23 Mizon, Bob Finding a million-star hotel an astro-tourist’s guide to dark sky places Cham Springer 2016 ebook The Patrick Moore practical astronomy series 1431-9756 Introduction -- Chapter 1: Dark-Sky Places -- Chapter 2: Invasion of the townies -- Chapter 3: Night-sky-friendly centres, hotels and campsites in the UK and the USA -- Chapter 4: What’s in the sky? -- Chapter 5: The star-hunter’s kit -- Chapter 6: Stargazing etiquette -- Chapter 7: Hosting astro-tourism -- Chapter 8: Light pollution -- Appendix 1: List (at July 2015) of International Dark Sky Places and when established -- Appendix 2: Extracts from the conclusions and recommendations of the UK’s Royal Commission on Environmental Pollution, Artificial Light in the Environment, 2009 -- Appendix 3: Night Sky Guides -- Glossary of terms -- Bibliography -- Index. Finding a Million-Star Hotel explores the modern phenomenon of astro-tourism, the efforts by increasing numbers of people to find nearby and distant locations where they can see the real night sky so often hidden by light pollution. Astronomer Bob Mizon directs readers to dark sky sites in the United Kingdom, the United States, and a few further afield. This is more than just a hotel guide with links for accommodation at or near the locations. There are chapters on choosing telescopes and binoculars, on celestial objects astro-tourists can look for in the night sky, and an investigation into the causes of the skyglow that veils our view of the stars. Most of those who go seeking the stars are not professional astronomers. This book is aimed at those observers with limited knowledge of the night sky who are eager to explore and enjoy it. Even those contemplating setting up astro-themed hotels, campsites, or astronomy events can benefit from reading this book and from the advice included on how to equip such places, stargazing etiquette and star-friendly lighting. Physics and astronomy SPR201608 SzGeCERN Astrophysics and Astronomy SPR Air pollution SPR Atmospheric ProtectionAir Quality ControlAir Pollution BOOK SPR n 201631 201608 21 PUBLIC https://catalogue.library.cern/legacy/2205668 BOOK MIGRATED 2205653 SzGeCERN 20210421213332.0 9783319327679 print version 9783319327686 electronic version electronic version DOI 10.1007/978-3-319-32768-6 ebook oai:cds.cern.ch:2205653 cerncds:BOOK eng QA276-280 519.5 23 Pardo, Scott A Empirical modeling and data analysis for engineers and applied scientists Cham Springer 2016 ebook Preface -- Acknowledgments -- 1. Some Probability Concepts -- 2. Some Statistical Concepts -- 3. Measurement Systems Analysis -- 4. Modeling with Data -- 5. Factorial Experiments -- 6. Fractional Factorial Designs -- 7. Higher Order Approximations -- 8. Mixture Experiments -- 9. Some Examples and Applications -- 10. Binary Logistic Regression -- 11. Reliability, Life Testing, and Shelf Life -- 12. Some Bayesian Concepts -- 13. Validation and Verification -- 14. Simulation and Random Variable Generation -- 15. Taguchi Methods® and Robust Design -- References. This textbook teaches advanced undergraduate and first-year graduate students in Engineering and Applied Sciences to gather and analyze empirical observations (data) in order to aid in making design decisions. While science is about discovery, the primary paradigm of engineering and "applied science" is design. Scientists are in the discovery business and want, in general, to understand the natural world rather than to alter it. In contrast, engineers and applied scientists design products, processes, and solutions to problems. That said, statistics, as a discipline, is mostly oriented toward the discovery paradigm. Young engineers come out of their degree programs having taken courses such as "Statistics for Engineers and Scientists" without any clear idea as to how they can use statistical methods to help them design products or processes. Many seem to think that statistics is only useful for demonstrating that a device or process actually does what it was designed to do. Statistics courses emphasize creating predictive or classification models - predicting nature or classifying individuals, and statistics is often used to prove or disprove phenomena as opposed to aiding in the design of a product or process. In industry however, Chemical Engineers use designed experiments to optimize petroleum extraction; Manufacturing Engineers use experimental data to optimize machine operation; Industrial Engineers might use data to determine the optimal number of operators required in a manual assembly process. This text teaches engineering and applied science students to incorporate empirical investigation into such design processes. Much of the discussion in this book is about models, not whether the models truly represent reality but whether they adequately represent reality with respect to the problems at hand; many ideas focus on how to gather data in the most efficient way possible to construct adequate models. Includes chapters on subjects not often seen together in a single text (e.g., measurement systems, mixture experiments, logistic regression, Taguchi methods, simulation) Techniques and concepts introduced present a wide variety of design situations familiar to engineers and applied scientists and inspire incorporation of experimentation and empirical investigation into the design process. Software is integrally linked to statistical analyses with fully worked examples in each chapter; fully worked using several packages: SAS, R, JMP, Minitab, and MS Excel - also including discussion questions at the end of each chapter. The fundamental learning objective of this textbook is for the reader to understand how experimental data can be used to make design decisions and to be familiar with the most common types of experimental designs and analysis methods. Mathematics and statistics SPR201608 SzGeCERN Mathematical Physics and Mathematics SPR Biochemical engineering SPR Environmental sciences SPR Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences SPR Biomedical EngineeringBiotechnology SPR Biochemical Engineering SPR Environmental Science and Engineering BOOK SPR n 201631 201608 21 PUBLIC https://catalogue.library.cern/legacy/2205653 BOOK MIGRATED 2205616 SzGeCERN 20210421213340.0 9789811003783 print version 9789811003790 electronic version electronic version DOI 10.1007/978-981-10-0379-0 ebook oai:cds.cern.ch:2205616 cerncds:BOOK eng TK5102.9 TA1637-1638 TK7882.S65 621.382 23 Davey, Sam Bayesian methods in the search for MH370 Singapore Springer 2016 ebook SpringerBriefs in electrical and computer engineering 2191-8112 Introduction -- Factual Description of Accident and Available Information -- Bayesian Approach -- Inmarsat Satellite Communication System -- Aircraft Cruise Dynamics -- Aircraft Maneuver Dynamics -- Particle Filter Implementations -- Validation Experiments -- Application to MH370 Accident -- Incorporating Search Data -- Conclusions. This book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability distribution of potential MH370 flight paths. It provides details of how the probabilistic models of aircraft flight dynamics, satellite communication system measurements, environmental effects and radar data were constructed and calibrated. The probability distribution was used to define the search zone in the southern Indian Ocean. The book describes particle-filter based numerical calculation of the aircraft flight-path probability distribution and validates the method using data from several of the involved aircraft’s previous flights. Finally it is shown how the Reunion Island flaperon debris find affects the search probability distribution. Engineering SPR201608 SzGeCERN Engineering SPR Mathematical statistics SPR Probabilities SPR Signal, Image and Speech Processing SPR Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences SPR Probability Theory and Stochastic Processes SPR Probability and Statistics in Computer Science BOOK Gordon, Neil Holland, Ian Rutten, Mark Williams, Jason SPR n 201631 201608 21 PUBLIC https://catalogue.library.cern/legacy/2205616 BOOK MIGRATED 2204797 SzGeCERN 20161121222403.0 9781483105376 131.31 (UA),87.54 (1U) electronic version EBL 4586943 eng 621.381 Brindley, Keith Newnes electronics assembly handbook Saint Louis, MO Elsevier Science 1990 354 p Front Cover -- Newnes Electronics Assembly Handbook -- Copyright Page -- Table of Contents -- Preface -- Chapter 1. Introduction -- Bringing together varied disciplines -- Applications -- Standardization -- Book layout and description -- Chapter 2. Electronics assembly: the PCB -- The printed circuit board -- Base materials -- Basic mechanical properties -- PCB manufacture -- PCB manufacturing processes -- Design -- Layout -- Through-hole PCB assembly -- Testing -- Cleaning of assemblies -- Conformal coatings -- Total automatic assembly -- Chapter 3. Electronics assembly: the SMA Surface mounted assemblies -- Advantages and disadvantages -- Surface mounted components -- Base materials -- Thermal design of surface mounted assemblies -- Design -- Assembly -- Assembly variations -- Testing assemblies -- Component placement -- References -- Chapter 4. Electromechanical assembly: packaging -- Packaging engineering -- Adhesives -- Thermal management -- Environmental considerations -- Electromagnetic compatability -- References -- Chapter 5. Soldering -- Changing face -- Requirements of the soldering process -- Solderability and protective coatings -- Soldering processes Solder -- Flux -- Types of joints -- Solder resists -- Hand soldering -- Mass CS soldering - wave soldering -- Mass SC reflow soldering -- Comparison of soldering processes -- Cleaning of PCBs -- References -- Chapter 6. Testing for quality -- The philosophy of quality -- Reliability -- Component parts testing -- Production processes -- The unpackaged assembly -- The packaged assembly -- References -- Chapter 7. Standardization of electronics manufacture: quality assurance -- Standards -- Reference to standards -- Levels of standards -- Standards organizations and bodies -- The work of BSI BITS -- BSS -- Assessed capability of companies -- Assessed quality of components -- Setting up company standards -- References -- Chapter 8. Selling to the Ministry of Defence -- MoD organization -- Procurement executive -- Procurement executive policy and procedures -- Quality assurance -- Glossary -- Appendix 1. Worldwide standards -- Appendix 2. Worldwide addresses -- Appendix 3. Further reading -- Index 9780750616300 print version oai:cds.cern.ch:2204797 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4586943 ebook ebook EBL201608 SzGeCERN Engineering BOOK n 201631 21 PUBLIC BOOK DELETED 2204778 SzGeCERN 20210421213426.0 9780409951752 print version 9781483160870 electronic version 131.31 (UA),87.54 (1U) electronic version oai:cds.cern.ch:2204778 cerncds:BOOK EBL 4585202 eng 621.389/2 Weber, Thad L Alarm systems and theft prevention 2nd ed. Boston, MA Butterworth 1985 416 p ebook Front Cover -- Alarm Systems and Theft Prevention -- Copyright Page -- Table of Contents -- Preface and Acknowledgments -- Chapter 1. Introduction -- PIONEERING IN ALARM INTRODUCTION -- A CONTINUING CHALLENGE -- Chapter 2. Basic Burglary -- CRIMINAL SPECIALIZATION -- LEGAL ADVANTAGES OF BURGLARY -- PROFESSIONAL VS. AMATEUR -- ROLE OF ORGANIZED CRIME -- Chapter 3. Sophisticated Burglary -- BRANCH BANKS AND MODERN STORE CONSTRUCTION -- MAIN BANKS-THE FORTRESS -- A CASE OF MAIN BANK BURGLARY -- HOW DID IT HAPPEN? -- MISSING DETERRENTS -- THE ECONOMICS OF PROTECTION -- THE GEOGRAPHY OF PROTECTION LESSONS FOR THE SECURITY-RESPONSIBLE EXECUTIVE -- Chapter 4. Burglary Through Unprotected Points -- WHAT IS INACCESSIBLE? -- SOLUTIONS DIFFER -- Chapter 5. Underwriters' Laboratories -- ORIGIN OF UL -- UL SERVICES -- UL ACTIVITIES IN CRIME PREVENTION: LISTING -- LOCAL ALARM SERVICE STANDARDS -- UL CENTRAL STATION SERVICE STANDARDS -- GRADES OF SERVICE -- KEYS OR NO KEYS -- LEVEL OF PROTECTION -- SAFE AND VAULT CERTIFICATION -- ALARM SYSTEM CERTIFICATION -- MAXIMIZING CERTIFICATION -- UL APPROVAL OF ALARM DEVICES AND SYSTEMS -- UL BURGLARY DEPARTMENT FIELD INSPECTIONS -- PROPOSAL FOR EXPANSION Chapter 6. Ultrasonic Intrusion Alarm Systems -- THE COST THAT BROKE THE CAMEL'S BACK -- NEW BUILDING, NEW PROBLEMS -- THE ECONOMICS OF ALARM SYSTEM CHOICE -- ADVANTAGES OF ULTRASONIC -- PROBLEMS OF ALTERNATIVES -- THEN THE TROUBLE STARTED -- PRACTICE MAKES IMPERFECT -- 20-20 HINDSIGHT -- THE HIGH COST OF DIVORCE -- Chapter 7. Microwave Motion Detection -- SPECIAL REQUIREMENTS -- INTRODUCTION OF MICROWAVE -- NEED FOR STANDARDS AND INSPECTION -- TECHNICAL PLUSES AND MINUSES -- OPERATING PRINCIPLES -- SPECIALIZED COVERAGES -- CONTAINING MICROWAVE SIGNALS -- PROBLEMS OF HIGH MOUNTING MASS AND BULK IN FALSE ALARMS -- CONTINUING INTERFERENCE -- ADJUSTMENT AND TESTING -- GENERAL PRECAUTIONS -- SPECIAL PRECAUTIONS FOR HIGH-VALUE RISKS -- OTHER FORMS AND GENERAL COSTS -- Chapter 8. Passive Infrared Technology -- DESCRIPTION -- BASIC ADVANTAGES -- USES OF PASSIVE INFRARED DEVICES -- CAUSES OF FALSE ALARMS -- CONTROLLING OR REDUCING UNWANTED ALARM SIGNALS -- OTHER ADVANTAGES -- DUAL DETECTION -- PROBLEM AREAS -- SUMMARY -- Chapter 9. Environmental Causes of False Alarms -- STEAM -- NOISE -- BOUNCE -- EXPECT THE UNEXPECTED -- PLAN AHEAD -- Chapter 10. Alarm Defeat by Lock Picking INSURER-REQUIRED CHANGE -- POLICE-REQUIRED CHANGES -- ALARM SHUNTLOCK AND KEY CONVENIENCE -- WEAKNESSES OF ALARM SHUNTLOCKS -- PROTECTIVE DELAY -- OTHER SOLUTIONS -- APPROPRIATE NON-ALARM MEASURES -- Chapter 11. Problems of Police-Connected Alarms -- ENTRY AND ALARM -- RESPONSIBILITY FOR ELECTRIC PROTECTION -- ORIGIN OF POLICE CONNECTS -- PROBLEMS INTEGRAL TO POLICE CONNECTS -- ALTERNATIVES AND SUPPORTING PROCEDURES -- Chapter 12. Corner Cutting in Security -- CORNER CUTTING -- EXPOSED ALARM CONTACT TERMINALS -- EXPOSED CONTROL INSTRUMENTS -- WALK-TEST CIRCUITS -- RISK OF ON TEST CIRCUITS Chapter 13. Attack Against Telephone Alarm Lines EBL201608 SzGeCERN Engineering BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4585202 ebook 201608 n 201631 21 PUBLIC https://catalogue.library.cern/legacy/2204778 BOOK MIGRATED 2204675 SzGeCERN 20210421213443.0 9780128053706 9780128092934 0128092939 oai:cds.cern.ch:2204675 cerncds:BOOK SAFARI 9780128092934 eng TK1056 621.47 Ming, Tingzhen Solar chimney power plant generating technology London Academic Press 2016 247 p ebook Front Cover -- Solar Chimney Power Plant Generating Technology -- Copyright Page -- Dedication -- Contents -- Contributors -- Preface -- 1 Introduction -- 1.1 Energy background -- 1.1.1 The Energy Issue and the Status Quo -- 1.1.2 China's Energy Policy and Prospect -- 1.1.3 Solar Power Generating Technologies and the Status Quo -- 1.1.3.1 The solar central power tower system [47,78-85] -- 1.1.3.2 The parabolic trough solar thermal system [54,56,57,87-95] -- 1.1.3.3 The Dish-Stirling solar power plant system [64,97-103] 1.1.3.4 The solar photovoltaic power generation system [70,72,73,75-77,105] -- 1.2 Solar chimney power plant system -- 1.2.1 The Appearance of a Solar Chimney Power Plant System -- 1.2.2 Advantages of SCPPS -- 1.2.2.1 Large scale renewable energy collection -- 1.2.2.2 Energy storage with low cost -- 1.2.2.3 Air as working fluid -- 1.2.2.4 Technical feasibility -- 1.2.2.5 Environmental remediation -- 1.2.2.6 Competitive investment and operation costs -- 1.2.3 Weaknesses of SCPPS -- 1.3 Research progress -- 1.3.1 Experiments and Prototypes -- 1.3.2 Theory Research 1.3.2.1 The thermodynamic theory for the circulation system -- 1.3.2.2 HAG effect of the system -- 1.3.2.3 Heat and mass transfer theory in the system -- 1.3.2.4 The operation principle of the turbine and the design optimization techniques -- 1.3.3 Economic and Ecological Theory and Feasibility Studies -- 1.3.4 Potential Application of SCPPS -- 1.4 Research contents of this book -- References -- 2 Thermodynamic fundamentals -- 2.1 Introduction -- 2.2 Thermodynamic cycle -- 2.3 Thermal efficiency -- 2.4 Results and analysis -- 2.4.1 Computation Results for the Spanish Prototype 2.4.2 Computation Results for Commercial SCPPSs -- 2.5 Effect of various parameters -- 2.5.1 Influence of Turbine Efficiency -- 2.5.2 Influence of Chimney Height and Diameter -- 2.5.3 Influence of Collector Diameter -- 2.5.4 The Influence of the Solar Radiation -- 2.5.5 The Influence of Ambient Temperature -- 2.6 Conclusions -- Nomenclature -- Subscript -- Greek Symbols -- References -- 3 Helio-aero-gravity (HAG) effect of SUPPS -- 3.1 Introduction -- 3.2 Relative static pressure -- 3.3 Driving force -- 3.4 Power Output and Efficiency -- 3.5 Results and discussions -- 3.6 Conclusions Nomenclature -- References -- 4 Fluid flow and heat transfer of solar chimney power plant -- 4.1 Introduction -- 4.2 Theoretical models -- 4.2.1 Physics Model -- 4.2.2 Mathematical Model -- 4.2.3 Boundary Conditions and Solution Method -- 4.3 Results and discussion -- 4.4 Helical Heat-Collecting Solar Chimney Power Plant System -- 4.5 Mathematical and physical model -- 4.5.1 Physical Model -- 4.5.2 Mathematical Model -- 4.5.3 Solving Determinant Condition and Solution -- 4.6 Validition -- 4.7 Computation results and analysis -- 4.7.1 Comparison on Flow and Heat Transfer Characteristics 4.7.2 Comparison of Output Power for the Two Type of Models SAF201707 EBLlink deleted SzGeCERN Engineering BOOK https://learning.oreilly.com/library/view/-/9780128092934/?ar ebook 201608 n 201631 21 PUBLIC https://catalogue.library.cern/legacy/2204675 BOOK MIGRATED 2204672 SzGeCERN 20170615235953.0 9781119242345 292.5 (NL),292.5 (3U),195 (1U) electronic version EBL 4451915 eng 541.2254 Fink, Johannes Karl Metallized and magnetic polymers chemistry and applications Somerset Wiley 2016 246 p Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Part I Metallized Polymers -- 1 General Aspects -- 1.1 History -- 1.1.1 Capacitors -- References -- 2 Methods of Fabrication -- 2.1 Methods for Metallizing -- 2.1.1 Laminating -- 2.1.2 Wet Plating -- 2.1.3 Fluid Electrolytic Deposition -- 2.1.4 Plating-out Method -- 2.1.5 Retroplating-out Method -- 2.1.6 Electroless Plating -- 2.1.7 Vacuum Deposition -- 2.1.8 Sputtering -- 2.1.9 Paint Coating -- 2.1.10 Pressure-Sensitive Conductive Rubber -- 2.1.11 Grafting of Polyelectrolytes 2.1.12 Selective Deposition of Metal onto Plastic Substrates -- 2.2 Welding -- 2.2.1 Ultrasonic Welding of Metallized Plastic -- 2.3 Molding -- 2.3.1 Molded Products -- 2.3.2 Metallized Plastic Molding -- 2.4 Special Aspects -- 2.4.1 Metallized Polymer Granules -- 2.4.2 Functional Poly(propylene) -- 2.4.3 Poly(amide) -- 2.4.4 Poly(imide)s -- 2.4.5 Poly(amide-imide)s -- 2.4.6 Poly(acetylene)s -- 2.4.7 Silaferrocenophanes -- 2.4.8 Metallized Hybrid Polymers -- 2.4.9 Radiation Curable Compositions -- 2.4.10 Heat Treatment -- 2.5 Special Uses -- 2.5.1 Films for Packaging Oxygen-Sensitive Materials 2.5.2 Margin Pattern Forming -- 2.5.3 Surface Reflectors -- 2.5.4 Electrical Applications -- References -- 3 Properties and Methods of Measurement -- 3.1 Standard Test Methods -- 3.1.1 Requirements for Decorative Coatings -- 3.1.2 Corrodkote Method -- 3.1.3 Copper-Accelerated Salt Spray Test -- 3.1.4 Visual Defects -- 3.1.5 Peel Strength -- 3.1.6 Thickness -- 3.1.7 Adhesion -- 3.1.8 Thermal Cycling -- 3.1.9 Water Resistance -- 3.2 Interface Properties -- 3.2.1 Morphology -- 3.2.2 Sliding Wear -- 3.2.3 Promoting Adhesion -- 3.3 Combustion of Metallized Polymers -- 3.3.1 Cobalt Nanoparticles References -- 4 Fields of Application -- 4.1 Shielding Electromagnetic Interference -- 4.2 Microwave Components -- 4.3 Conductive Fibers -- 4.4 Intermetallic Layers -- 4.5 Metallized Polymer Mirror -- 4.5.1 Poly(urethane) Insulating Fluid -- 4.6 In-Mold Metallized Polymer Articles -- 4.7 Camera Housing -- 4.8 Metallized Polymer Film Capacitors -- 4.9 Micro-fuel Cell -- 4.10 Printed Circuit Boards -- 4.10.1 Solderable Metallized Plastic Contact -- 4.10.2 Polymer Compositions for Metallized Polymers -- 4.10.3 Metallized Films -- 4.10.4 Pattern Forming -- 4.10.5 Pressure-Sensitive Conductive Film 4.10.6 Polymer with Finely Dispersed Metal Particles -- 4.10.7 Flexible Metallized Polymer Film -- 4.11 Electrostatic Miniature Valve -- 4.12 Antennas -- 4.12.1 Antenna Reflector -- 4.12.2 Rear Projection Television Receiver Mirrors -- 4.12.3 Metallized Foams -- 4.13 Gas Transmission -- 4.13.1 Oxygen Barrier -- 4.14 Micromechanical Sensor and Actuator Devices -- 4.15 Medical Uses -- 4.15.1 Leadwires and Intrafascicular Microelectrodes -- References -- 5 Environmental Issues -- 5.1 Recycling -- 5.2 Metallized Plastic Packages -- 5.3 Biodegradable Metallized Polymers -- References Part II Magnetic Polymers 9781119242352 print version oai:cds.cern.ch:2204672 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4451915 ebook ebook EBL201608 Chemical Physics and Chemistry SzGeCERN BOOK n 201631 201608 21 PUBLIC BOOK DELETED 2204607 SzGeCERN 20190812235035.0 9781498752909 print version 9781498752916 electronic version 284.93 (NL),237.44 (3U),189.95 (1U) electronic version oai:cds.cern.ch:2204607 cerncds:BOOK EBL 4388681 eng TJ1075.W57 2016 621.8/9 Pirro, Don M Lubrication fundamentals 3rd ed. Boca Raton, FL CRC Press 2016 590 p Front Cover -- Contents -- Preface -- Acknowledgments -- Authors -- ExxonMobil Contributors to the Third Edition -- Chapter 1: Introduction -- Chapter 2: Lubricant Base Stock Production and Application -- Chapter 3: Lubricating Oils -- Chapter 4: Lubricating Greases -- Chapter 5: Synthetic Lubricants -- Chapter 6: Environmental Lubricants -- Chapter 7: Hydraulics -- Chapter 8: Lubricating Films and Machine Elements : Bearings, Slides, Guides, Ways, Gears, Cylinders, Couplings, Chains, Wire Ropes -- Chapter 9: Application of Lubricants -- Chapter 10: Internal Combustion Engines Chapter 11: Automotive Transmissions and Drive Trains -- Chapter 12: Automotive Chassis Components -- Chapter 13: Stationary Gas Turbines -- Chapter 14: Steam Turbines -- Chapter 15: Hydraulic Turbines -- Chapter 16: Wind Turbines -- Chapter 17: Nuclear Power Generation -- Chapter 18: Compressors -- Chapter 19: Lubricant Contribution to Energy Efficiency -- Chapter 20: Handling, Storing, and Dispensing Lubricants -- Chapter 21: Practices for Lubricant Conservation and Machinery Reliability -- Chapter 22: In-Service Lubricant Analysis -- Back Cover Webster, Martin Daschner, Ekkehard https://cds.cern.ch/auth.py?r=EBLIB_P_4388681 ebook ebook EBL201608 Engineering SzGeCERN BOOK n 201631 201608 21 PUBLIC BOOK DELETED 2204496 SzGeCERN 20210421213504.0 9789814613651 print version 9789814613668 electronic version 224.93 (NL),187.44 (3U),149.95 (1U) electronic version oai:cds.cern.ch:2204496 cerncds:BOOK EBL 4202161 eng R857.B54 610.284 Thouand, Gerald Bioluminescent microbial biosensors design, construction, and implementation Singapore Pan Stanford Publ. 2015 232 p ebook Pan Stanford series on the high-tech of biotechnology Front Cover -- Contents -- Preface -- Contents -- Preface -- Chapter 1 Fully Automated Fluidic Analyzer For Food Quality Assessment Using Bioluminescent Biosensors -- Chapter 2 Technological Design Of Optical Bacterial Biosensors For The Online Environmental Monitoring Ofwater Pollutants -- Chapter 3 Fiber Optic Biosensors For Environmental Monitoring -- Chapter 4 Non- Fiber- Optic Bioluminescent Biosensors -- Chapter 5 Biosensor With Immobilized Cells And Lensless Imaging Detection -- Chapter 6 A Biosensor With Genetically Modified Bacteria Immobilized On A Fiber And A Glass Slide Chapter 7 Development And Characterization Of A Living- Cell Bioluminescent Bioreporter Integrated Circuit -- Chapter 8 Bod Sensor With Immobilized Luminous Cells On Chip -- Chapter 9 Bioluminescentwhole- Cell Sensors: Integration Of Bacterial Reporter Cells Onto Hardware Platforms -- Chapter 10 Luminescent Biosensing Systems Based On Genetically Engineered Spore- Forming Bacteria -- Back Cover EBL201608 SzGeCERN Health Physics and Radiation Effects BOOK Marks, Robert S https://cds.cern.ch/auth.py?r=EBLIB_P_4202161 ebook 201608 n 201631 21 PUBLIC https://catalogue.library.cern/legacy/2204496 BOOK MIGRATED 2204478 SzGeCERN 20210421213507.0 9781634836944 print version 9781634837125 electronic version 165 (UA),143 (3U),110 (1U) electronic version oai:cds.cern.ch:2204478 cerncds:BOOK EBL 4188948 eng TJ163.2.E94 2015 621.042 Duncan, Marlene Exergy Hauppauge, NY Nova Science Publ. 2015 198 p ebook Energy science, engineering and technology EXERGY PERFORMANCE, TECHNOLOGIES AND APPLICATIONS -- EXERGY PERFORMANCE, TECHNOLOGIES AND APPLICATIONS -- CONTENTS -- PREFACE -- Chapter 1 EXERGY ANALYSIS OF DESALINATION SYSTEMS -- ABSTRACT -- INTRODUCTION -- Energy, Exergy and Entropy Relationship -- Importance and Implications of Exergy in Process Design -- DESALINATION PROCESSES AND OPERATION PRINCIPLES -- Multi-Stage Flash Distillation (MSF) -- Multi-Effect Evaporation/Distillation (MED) -- Vapor Compression (M/TVC) -- Solar Distillation (SD) -- Desalination Efficiency -- Reverse Osmosis (RO) -- Electrodialysis (ED) Membrane Distillation (MD) -- ENERGY AND EXERGY ANALYSIS OF DESALINATION PROCESSES -- First Law of Thermodynamics -- Exergy Analysis -- CASE STUDIES FOR EXERGY PERFORMANCE ANALYSES -- MSF Desalination -- Reverse Osmosis Membrane Process -- Integrated Membrane Systems -- Solar Stills -- Membrane Distillation -- APPENDIX -- Subscripts -- REFERENCES -- CONCLUSION -- Chapter 2 EXERGY ANALYSIS OF INDOOR ENVIRONMENT AND IMPACT ON THERMAL COMFORT -- ABSTRACT -- 1. INTRODUCTION -- 2. MOTIVATION AND METHOD -- 3. HUMAN BODY AND SECOND LAW OF THERMODYNAMICS 4. EXERGY ANALYSIS OF HUMAN BODY HEAT AND MASS TRANSFER -- 4.1. Conduction between the Core and the Skin Compartment -- 4.2. Blood Flow between the Core and the Skin Compartment -- 4.3. Thermal Radiation -- 4.4. Sensible Heat Transfer from the Skin Surface -- 4.5. Water Perfusion and Sweating -- 4.6. Convective Heat and Mass Transfer between Skin and the Environment -- 4.7. Breathing -- 5. CASE STUDY -- 5. RESULTS AND DISCUSSION -- CONCLUSION -- Nomenclature -- Greek Symbols -- Subscripts -- REFERENCES -- Chapter 3 EXERGY ANALYSIS OF BIOREFINERY PROCESSES -- ABSTRACT -- INTRODUCTION 1. BIOREFINERY CONCEPT -- 1.1. Classification of the Various Biomass -- 1.2. The Integrated Biorefineries -- 1.3. Processes in Biorefineries -- Mechanical Processing -- Thermochemical Processing -- Biochemical Processing -- Chemical Processing -- 2. LIGNOCELLULOSE -- 3. EXERGY ANALYSIS -- 3.1. Definition of Exergy -- 3.2. Reference Environment -- 3.3. Physical Exergy -- 3.4. Chemical Exergy -- 3.5. Exergy of Mixture -- 3.6. Efficiency Process -- 3.7. Exergy Applications -- 3.8. Evaluation of the Environmental Impact -- 4. LIFE CYCLE ASSESSMENT -- 4.1. LCA Steps a. Goal Definition and Methodology -- b. Inventory Analysis -- c. Impact Assessment -- d. Interpretation -- 4.2. LCA Applications -- 4.3. LCA Limitations -- SUMMARY AND CONCLUSION -- REFERENCES -- Chapter 4 SYSTEM EXERGY ANALYSIS OF AN OXY-FUEL COMBUSTION POWER PLANT INTEGRATED WITH CO2 CAPTURE, TRANSPORT AND STORAGE -- ABSTRACT -- INTRODUCTION -- OXY-FUEL COMBUSTION TECHNOLOGY -- INTEGRATED OFC POWER PLANT AS A LARGE ENERGY SYSTEM -- SYSTEM EXERGY ANALYSIS -- Mathematical Modelling of Direct Exergy Balance -- Mathematical Modelling of Cumulative Exergy Consumption Analysis of Cumulative Exergy Losses and Cumulative Degree of Thermodynamic Perfection EBL201608 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4188948 ebook n 201631 201608 21 PUBLIC https://catalogue.library.cern/legacy/2204478 BOOK MIGRATED 2204476 SzGeCERN 20210421213507.0 9781782423782 9781782423997 1782423990 oai:cds.cern.ch:2204476 cerncds:BOOK SAFARI 9781782423997 eng TK1041 621.3121 Oakey, John Fuel flexible energy generation solid, liquid and gaseous fuels Cambridge Woodhead Publ. 2016 334 p ebook Front Cover -- Related titles -- Fuel Flexible Energy Generation -- Copyright -- Contents -- List of contributors -- Woodhead Publishing Series in Energy -- One - Introduction and fuel types -- 1 - Introduction to fuel flexible energy -- 1.1 Introduction -- 1.2 Conventional energy sources -- 1.2.1 Petroleum -- 1.2.2 Natural gas -- 1.2.3 Coal -- 1.2.4 Shale gas -- 1.2.5 Oil from shale -- 1.3 Unconventional energy sources -- 1.3.1 Tar sand bitumen -- 1.3.2 Oil shale -- 1.3.3 Biomass -- 1.4 Fischer-Tropsch process -- 1.5 Electrical energy -- 1.5.1 Power plant operations -- 1.5.2 Other fuels 1.5.2.1 Biomass -- 1.5.2.2 Waste -- 1.6 Fuel flexibility -- 1.6.1 Environmental issues -- 1.6.2 Trends and technological challenges -- 1.7 Conclusions -- References -- 2 - Solid fuel types for energy generation: coal and fossil carbon-derivative solid fuels -- 2.1 Introduction -- 2.2 Fossil fuel feedstocks -- 2.2.1 World availability of coal -- 2.2.2 Coal classification -- 2.2.2.1 Peat -- 2.2.2.2 Lignite -- 2.2.2.3 Subbituminous coal -- 2.2.2.4 Bituminous coal -- 2.2.2.5 Anthracite -- 2.2.3 Coal characterization -- 2.2.3.1 Bases for analyses -- 2.2.3.2 Moisture determination 2.2.3.3 Proximate analysis -- 2.2.3.4 Ultimate analysis -- 2.2.3.5 Heating value -- 2.2.3.6 Grindability -- 2.2.3.6 Sulfur forms -- 2.2.3.7 Free-swelling index -- 2.2.3.8 Ash fusion temperatures -- 2.2.3.9 Ash composition -- 2.3 Fuels derived from coal -- 2.3.1 Coke -- 2.3.2 Gaseous fuels from coal -- 2.3.2.1 Coke oven gas -- 2.3.2.2 Blast furnace gas -- 2.3.2.3 Water gas -- 2.3.2.4 Producer gas -- 2.3.2.5 Byproduct gas from gasification -- 2.3.3 Fischer-Tropsch Process -- 2.4 Coal supply chain main characteristics -- 2.4.1 Coal mining -- 2.4.1.1 Underground mining -- 2.4.1.2 Surface mining 2.4.2 Coal Preparation -- 2.4.3 Coal transportation -- 2.5 Future trends -- 2.5.1 Carbon capture and storage -- 2.5.2 Lignite pre-drying -- 2.6 Summary -- Sources of further information -- References -- 3 - Biomass and agricultural residues for energy generation -- 3.1 Introduction -- 3.2 Biomass resources and supply chains -- 3.2.1 European and global woody biomass resources and supply chains -- 3.2.2 Herbaceous and fruit biomass resources and supply chains -- 3.3 Biomass properties and measurement of properties -- 3.3.1 Properties of biomass -- 3.3.2 Sampling and sample reduction 3.3.3 Measurement of main properties and applied standards -- 3.3.3.1 Proximate and ultimate analysis -- 3.3.3.2 Calorific value -- 3.3.3.3 Moisture content -- 3.3.3.4 Particle-size determination -- 3.3.3.5 Bulk density -- 3.4 Future trends -- Symbols and abbreviations -- Terminology -- References -- Two - Fuel preparation, handling and transport -- 4 - Biomass fuel transport and handling -- 4.1 Introduction -- 4.1.1 The critical importance of fuel handling to cost-effective biomass fuel valorisation -- 4.1.2 The special features of biomass as a fuel 4.1.3 The underlying causes of handling problems with biomass SAF201707 EBLlink deleted SzGeCERN Engineering BOOK https://learning.oreilly.com/library/view/-/9781782423997/?ar ebook 201608 n 201631 21 PUBLIC https://catalogue.library.cern/legacy/2204476 BOOK MIGRATED 2204475 SzGeCERN 20210421213507.0 9780081002902 0081002904 9780081008799 oai:cds.cern.ch:2204475 cerncds:BOOK SAFARI 9780081002902 eng TK1055.D57 2015 621.44 DiPippo, Ronald Geothermal power plants principles, applications, case studies and environmental impact 4th ed. Waltham, MA Butterworth-Heinemann 2016 802 p ebook Front Cover -- Geothermal Power Plants -- Copyright Page -- Dedication -- Contents -- Foreword to the Fourth Edition -- Preface and Acknowledgements to the Fourth Edition -- What's New in the Fourth Edition? -- A Few Observations -- A Newcomer's Introduction to Geothermal Power Conversion -- Acknowledgments -- Preface and Acknowledgements to the Third Edition -- Preface and Acknowledgements to the Second Edition -- Preface and Acknowledgements to the First Edition -- 1. Resource Identification and Development -- 1 Geology of Geothermal Regions -- 1.1 Introduction 1.2 The Earth and its Atmosphere -- 1.3 Active Geothermal Regions -- 1.4 Model of a Hydrothermal Geothermal Resource -- 1.5 Other Types of Geothermal Resources -- 1.5.1 Hot Dry Rock -- 1.5.2 Geopressure -- 1.5.3 Magma Energy -- 1.5.4 Deep Hydrothermal -- 1.5.5 Low Temperature -- References -- Problems -- 2 Exploration Strategies and Techniques -- 2.1 Introduction -- 2.2 Objectives of an Exploration Program -- 2.3 Phases of an Exploration Program -- 2.3.1 Literature Survey -- 2.3.2 Airborne Survey -- 2.3.3 Geologic Survey -- 2.3.4 Hydrologic Survey -- 2.3.5 Geochemical Survey 2.3.6 Geophysical Survey -- 2.4 Synthesis and Interpretation -- 2.5 The Next Step: Drilling -- References -- Problems -- 3 Geothermal Well Drilling -- 3.1 Introduction -- 3.2 Site Preparation and Drilling Equipment -- 3.3 Drilling Operations -- 3.4 Safety Precautions -- References -- Problems -- 4 Reservoir Engineering -- 4.1 Introduction -- 4.2 Reservoir and Well Flow -- 4.2.1 Darcy's Law -- 4.2.2 Reservoir-Well Model: Ideal Case -- 4.2.3 Reservoir-Well Model: Basic Principles -- 4.2.4 Liquid-Only Flow -- 4.2.5 Location of the Flash Horizon -- 4.2.6 Two-Phase Flow in the Well 4.2.7 Complete Model: Reservoir to Wellhead with Wellbore Flashing -- 4.3 Well Testing -- 4.3.1 Desired Information -- 4.3.2 Pressure and Temperature Instrumentation -- 4.3.3 Direct Mass Flow Rate Measurements -- 4.3.4 Indirect Mass Flow Rate Measurements -- 4.3.5 Transient Pressure Measurements and Analysis -- 4.4 Calcite Scaling in Well Casings -- 4.5 Reservoir Modeling and Simulation -- 4.5.1 Input -- 4.5.2 Architecture -- 4.5.3 Calibration and Validation -- 4.5.4 History Matching -- 4.5.5 Use of the Model -- 4.5.6 Examples of Reservoir Simulators -- 4.6 Reinjection -- 4.6.1 Motivation 4.6.2 Strategies -- 4.6.3 Examples -- References -- Problems -- 2. Geothermal Power Generating Systems -- 5 Single-Flash Steam Power Plants -- 5.1 Introduction -- 5.2 Gathering System Design Considerations -- 5.2.1 Piping Layouts -- 5.2.2 Pressure Losses -- 5.3 Energy Conversion System -- 5.4 Thermodynamics of the Conversion Process -- 5.4.1 Temperature-Entropy Process Diagram -- 5.4.2 Flashing Process -- 5.4.3 Separation Process -- 5.4.4 Turbine Expansion Process -- 5.4.5 Condensing Process -- 5.4.6 Cooling Tower Process -- 5.4.7 Utilization Efficiency -- 5.5 Example: Single-Flash Optimization 5.5.1 Choked Well Flow SAF201708 EBLlink deleted SzGeCERN Engineering BOOK 2nd ed. 2008 2222443 edition 3rd ed. 2012 1615627 edition https://learning.oreilly.com/library/view/-/9780081002902/?ar ebook 201608 n 201631 21 PUBLIC https://catalogue.library.cern/legacy/2204475 BOOK MIGRATED 2204459 SzGeCERN 20210421213509.0 9780128021262 print version 9780128023341 electronic version 441 (UA),294 (1U) electronic version oai:cds.cern.ch:2204459 cerncds:BOOK EBL 4185152 eng QD505 541.395 Jentoft, Friederike C Advances in catalysis Waltham, MA Academic Press 2015 348 p ebook Advances in catalysis 58 Front Cover -- Advances in Catalysis -- Copyright -- Contents -- Contributors -- Preface -- Chapter One: Recent Advances in the Application of Mößbauer Spectroscopy in Heterogeneous Catalysis -- 1. Introduction -- 2. Principles of Mößbauer Spectroscopy and Its Variants -- 2.1. Mößbauer Effect Characteristics and Current Techniques -- 2.1.1. History and Principles -- 2.1.2. Recoilless Fraction: The Probability of the Mößbauer Effect -- 2.1.3. Parameters Describing Hyperfine Interactions -- 2.1.3.1. Introduction and History -- 2.1.3.2. Isomer Shift -- 2.1.3.3. Electric Quadrupole Splitting 2.1.3.4. Magnetic Hyperfine Splitting -- 2.1.3.5. Illustrations and Examples -- 2.1.3.6. Peculiarities of the Mößbauer Spectra of Nanodispersed Materials -- 2.1.4. Least-Squares Analysis of Mößbauer Spectra -- 2.1.5. Emission Mößbauer Spectroscopy -- 2.1.6. Conversion Electron Mößbauer Spectroscopy and Other Variants -- 2.1.7. Mößbauer Spectroscopy Using Synchrotron Radiation -- 2.2. Quasi-In Situ Mößbauer Spectroscopy -- 2.3. In Situ Mößbauer Spectroscopy -- 3. Applications of Mößbauer Spectroscopy in Catalysis -- 3.1. Overview of Applications 3.2. Applications in Catalysis for Fuel Production -- 3.2.1. Fischer-Tropsch Synthesis -- 3.2.1.1. Effect of Pretreatment Conditions -- 3.2.1.2. Effect of Support -- 3.2.1.3. Effect of Promoters -- 3.2.2. H2 Purification for Proton-Exchange-Membrane Fuel Cells -- 3.2.2.1. Introduction -- 3.2.2.2. WGS Reaction -- 3.2.2.3. H2 Purification: PROX Reaction -- 3.2.3. H2 Storage -- 3.2.4. Methane Conversion -- 3.2.5. Other Reactions -- 3.3. Applications in Environmental Catalysis -- 3.3.1. N2O Decomposition -- 3.3.2. CO Oxidation -- 3.3.3. NOx Reduction -- 3.3.4. Toluene Elimination 3.3.5. Other Reactions -- 3.4. Applications in Aerospace Catalysis -- 3.5. Applications in Photocatalysis -- 3.5.1. Introduction -- 3.5.2. Solid Solutions of Iron Oxides or Other Dopants in Titania -- 3.5.2.1. Motivation: Photocatalysis and Other Uses of Doped Titania -- 3.5.2.2. Polymorphs of Titania: Structural Properties and Intrinsic Defects -- 3.5.2.3. Charge Compensation and Defect Formation After Introduction of Aliovalent Ions into Titania -- 3.5.2.4. Doping in the ppm Range: Investigation of Intrinsic Defects of TiO2 -- 3.5.2.5. Doping of Titania with Iron in the Percent Range 3.5.2.6. Clustering of Iron Ions -- 3.5.2.7. Limits of Solubility of Iron in Titania -- 3.5.2.8. Influence of Dopants on Crystallization and Thermal Phase Behavior of Titania -- 3.5.2.9. Photocatalytic Properties of Iron-Doped Titania -- 3.5.2.10. Effect of Simultaneous Cation and Anion Doping on Optical Absorption and Photocatalysis -- 3.5.2.11. Opportunities: Refinement of Spectral Interpretation and Need for Better Theory -- 3.5.3. TiO2-Fe2O3 Nanocomposites -- 3.5.4. Composite Photocatalysts Based on Iron Oxides -- 3.5.5. Ferrites and Other Complex Oxide Photocatalysts 3.5.6. Photocatalysts Based on Oxides of Tin and Antimony EBL201608 SzGeCERN Chemical Physics and Chemistry BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4185152 ebook 201608 n 201631 21 PUBLIC https://catalogue.library.cern/legacy/2204459 BOOK MIGRATED 2204454 SzGeCERN 20210421213509.0 9781118987209 print version 9781118987292 electronic version 201.75 (NL),201.75 (3U),134.5 (1U) electronic version oai:cds.cern.ch:2204454 cerncds:BOOK EBL 4183004 eng TK1751.P33 2016 621.31/26 Padilla, Evelio Substation automation systems design and implementation Somerset Wiley 2015 346 p ebook Title Page -- Table of Contents -- Preface -- Acknowledgments -- List of Abbreviations -- 1 Historical Evolution of Substation Automation Systems (SASs) -- 1.1 Emerging Communication Technologies -- 1.2 Intelligent Electronic Devices (IEDs) -- 1.3 Networking Media -- 1.4 Communication Standards -- Further Reading -- 2 Main Functions of Substation Automation Systems -- 2.1 Control Function -- 2.2 Monitoring Function -- 2.3 Alarming Function -- 2.4 Measurement Function -- 2.5 Setting and Monitoring of Protective Relays -- 2.6 Control and Monitoring of the Auxiliary Power System 2.7 Voltage Regulation -- Further Reading -- 3 Impact of the IEC 61850 Standard on SAS Projects -- 3.1 Impact on System Implementation Philosophy -- 3.2 Impact on User Specification -- 3.3 Impact on the Overall Procurement Process -- 3.4 Impact on the Engineering Process -- 3.5 Impact on Project Execution -- 3.6 Impact on Utility Global Strategies -- 3.7 The Contents of the Standard -- 3.8 Dealing with the Standard -- Further Reading -- 4 Switchyard Level, Equipment and Interfaces -- 4.1 Primary Equipment -- 4.2 Medium and Low Voltage Components 4.3 Electrical Connections between Primary Equipment -- 4.4 Substation Physical Layout -- 4.5 Control Requirements at Switchyard Level -- Further Reading -- 5 Bay Level: Components and Incident Factors -- 5.1 Environmental and Operational Factors -- 5.2 Insulation Considerations in the Secondary System -- 5.3 Switchyard Control Rooms -- 5.4 Attributes of Control Cubicles -- 5.5 The Bay Controller (BC) -- 5.6 Other Bay Level Components -- 5.7 Process Bus -- Further Reading -- 6 Station Level: Facilities and Functions -- 6.1 Main Control House -- 6.2 Station Controller 6.3 Human Machine Interface HMI -- 6.4 External Alarming -- 6.5 Time Synchronization Facility -- 6.6 Protocol Conversion Task -- 6.7 Station Bus -- 6.8 Station LAN -- Further Reading -- 7 System Functionalities -- 7.1 Control Function -- 7.2 Monitoring Function -- 7.3 Protection Function -- 7.4 Measuring Function -- 7.5 Metering Function -- 7.6 Report Generation Function -- 7.7 Device Parameterization Function -- Further Reading -- 8 System Inputs and Outputs -- 8.1 Signals Associated with Primary Equipment -- 8.2 Signals Associated with the Auxiliary Power System 8.3 Signals Associated with Collateral Systems -- 9 System Engineering -- 9.1 Overall System Engineering -- 9.2 Bay Level Engineering -- 9.3 Station Level Engineering -- 9.4 Functionalities Engineering -- 9.5 Auxiliary Power System Engineering -- 9.6 Project Drawings List -- 9.7 The SAS Engineering Process from the Standard IEC 61850 Perspective -- Further Reading -- 10 Communication with the Remote Control Center -- 10.1 Communication Pathway -- 10.2 Brief on Digital Communication -- 10.3 Overview of the Distributed Network Protocol (DNP3) -- Further Reading -- 11 System Attributes 11.1 System Concept EBL201608 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4183004 ebook n 201631 201608 21 PUBLIC https://catalogue.library.cern/legacy/2204454 BOOK MIGRATED 2204441 SzGeCERN 20210421213510.0 9780128020494 print version 9780128020937 electronic version 387 (UA),258 (1U) electronic version oai:cds.cern.ch:2204441 cerncds:BOOK EBL 4181308 eng QC793.5.N4628 539.7213 Price, David L Neutron scattering magnetic and quantum phenomena London Academic Press 2015 534 p ebook Experimental methods in the physical sciences 48 Front Cover -- Experimental Methods in the Physical Sciences -- Neutron Scattering - Magnetic and Quantum Phenomena -- Copyright -- Contents -- List of Contributors -- Volumes in Series -- Preface -- REFERENCES -- Eulogy -- Symbols -- REFERENCE -- 1 - Neutron Optics and Spin Labeling Methods -- 1.1 INTRODUCTION -- 1.2 PARTICLE PROPERTIES AND INTERACTIONS OF SLOW NEUTRONS -- 1.3 NEUTRON STATES AND WAVE FUNCTIONS -- 1.3.1 Wave versus Geometrical Optics in Neutron Scattering Experiments -- 1.3.2 Summary of High Precision Rules for Neutron Beam Propagation -- 1.4 THE PRINCIPLES OF SPIN LABELING 1.4.1 Practical Spin Labeling -- 1.4.2 Choices of Neutron Parameters for Spin Labeling -- 1.5 NEUTRON SPIN-ECHO SPECTROSCOPY -- 1.5.1 NSE Spectroscopy for Nuclear Scattering -- 1.5.2 NSE Spectroscopy in Magnetism -- 1.6 NEUTRON SPIN-ECHO FOR ELASTIC SCATTERING AT SMALL ANGLES -- 1.6.1 Neutron Beam Polarizers and Analyzers -- 1.6.2 Transport of Polarized Neutron Beams and Spin-Injection Devices -- 1.6.3 Precession Region and Magnetic Shielding -- 1.6.4 Experimental Results -- 1.6.4.1 Spin-Echo Small-Angle Scattering -- 1.6.4.2 Spin-Echo Reflectometry -- REFERENCES -- 2 - Quantum Phase Transitions 2.1 INTRODUCTION -- 2.1.1 Classical Phase Transitions -- 2.1.2 Continuous Phase Transitions and Critical Behavior -- 2.1.3 Quantum Critical Scaling -- 2.1.4 Quantum Critical Point -- 2.1.5 Quantum Critical Region -- 2.2 EXPERIMENTAL TECHNIQUES -- 2.2.1 General Principles of Neutron Scattering -- 2.2.2 Neutron Scattering Cross Sections -- 2.2.3 Correlation and Scattering Functions -- 2.2.4 Magnetic Cross Section -- 2.2.5 Instruments -- 2.2.5.1 Triple-Axis Spectrometers -- 2.2.5.2 Time-of-Flight Spectrometers -- 2.3 EXTREME ENVIRONMENTAL CONDITIONS -- 2.3.1 Cryogenics 2.3.1.1 Helium Closed-Cycle Refrigerator -- 2.3.1.2 Liquid Helium Bath Cryostats -- 2.3.1.3 Cryogen-Free Systems -- 2.3.1.4 Helium-3 Sorption System -- 2.3.1.5 Helium-3/Helium-4 Dilution Refrigerators -- 2.3.2 High Magnetic Field -- 2.3.3 High Pressure -- 2.3.3.1 Hydrostatic Cells (Piston-Cylinder Devices) -- 2.3.3.2 Large-Volume (Clamped) Cells -- 2.3.3.3 Opposed Anvil Cells -- 2.4 QUANTUM PHASE TRANSITIONS IN SPIN DIMER SYSTEMS -- 2.4.1 Spin Dimer Systems -- 2.4.2 TlCuCl3 -- 2.4.3 Field-Induced QPT in TlCuCl3 -- 2.4.4 Pressure-Induced QPT in TlCuCl3 2.5 QUANTUM PHASE TRANSITIONS IN JEFF=1/2 PYROCHLORE MAGNETS -- 2.5.1 XY Pyrochlore Magnets -- 2.5.2 Er2Ti2O7 -- 2.5.3 Spin Excitations in Er2Ti2O7 -- 2.5.4 Yb2Ti2O7 -- 2.5.5 Spin Excitations in Yb2Ti2O7 -- 2.6 QUANTUM PHASE TRANSITIONS IN HEAVY FERMIONS -- 2.6.1 Heavy Fermions -- 2.6.1.1 Spin-Density-Wave QC at a Conventional QCP [100] -- 2.6.1.2 Local QC -- 2.6.2 Cerium-Based Heavy-Fermion System -- 2.6.3 CeCu6−xAux -- 2.6.3.1 Chemical Pressure (Doping) -- 2.6.3.2 Applied Pressure -- 2.6.3.3 Applied Magnetic Field -- 2.6.4 CeT(In1−xMx)5 -- 2.6.5 CeRhIn5 -- 2.6.6 CeCoIn5 -- 2.6.7 CeIrIn5 2.7 QUANTUM PHASE TRANSITIONS IN ITINERANT MAGNETS EBL201608 SzGeCERN Particle Physics - Theory BOOK Fernandez-Alonso, Felix https://cds.cern.ch/auth.py?r=EBLIB_P_4181308 ebook 201608 n 201631 21 PUBLIC https://catalogue.library.cern/legacy/2204441 BOOK MIGRATED 2204406 SzGeCERN 20190321204917.0 9781118945261 347.25 (NL),347.25 (3U),231.5 (1U) electronic version EBL 4093367 eng TL1200.O675 2015 621.360919 Qian, Shen-En Optical payloads for space missions Somerset Wiley 2015 1004 p Title Page -- Copyright Page -- Contents -- Contributors List -- Preface -- Part One Overview -- Chapter 1 Review of Spaceborne Optical Payloads -- 1.1 Introduction -- 1.2 Imaging Spectroscopy Sensors -- 1.3 Multispectral Sensors -- 1.4 Fourier Transform Spectrometers -- 1.5 Lidar and Active Sensors -- 1.6 Spectrometers and Radiometers -- 1.7 Other Types of Optical Sensors -- 1.8 Optical Sensors for Nanosatellites and Microsatellites -- 1.9 Summary -- Reference -- Part Two Imaging Spectrometers -- Chapter 2 Hyperspectral Imager for the Coastal Ocean on the International Space Station 2.1 Introduction -- 2.2 Goals and Requirements -- 2.3 Sensor Description -- 2.4 Calibration and Characterization -- 2.5 On-Orbit Sensor Performance -- 2.6 HICO Operations -- 2.7 Data Processing and Dissemination System -- 2.8 Lessons Learned -- 2.9 Science and Applications -- 2.10 Conclusion -- Dedication -- References -- Chapter 3 Moderate Resolution Imaging Spectroradiometer on Terra and Aqua Missions -- 3.1 Introduction -- 3.2 MODIS Instrument -- 3.3 Prelaunch Calibration and Characterization -- 3.4 On-orbit Operations and Calibration -- 3.5 Instrument Performance 3.6 Science Products and Applications -- 3.7 Lessons Learned -- 3.8 Conclusion -- Acknowledgments -- References -- Chapter 4 Medium Resolution Imaging Spectrometer for Ocean Colour onboard ENVISAT -- 4.1 Introduction -- 4.2 MERIS Instrument -- 4.3 On-ground Instrument Characterisation -- 4.4 MERIS In-Orbit Calibration -- 4.5 Conclusion -- Acknowledgments -- References -- Chapter 5 Visible and Near-infrared Imaging Spectrometer aboard Chinese Chang'E 3 Spacecraft -- 5.1 Introduction -- 5.2 Design of VNIS -- 5.3 System Calibration -- 5.4 Ground Verification -- 5.5 In-Orbit Operation of VNIS 5.6 Data processing of VNIS -- 5.7 Conclusion -- Acknowledgments -- References -- Chapter 6 Hyperspectral Imager Onboard Indian Mini Satellite‐1 -- 6.1 Introduction -- 6.2 Mission Goals and Constraints -- 6.3 Detailed Description of IMS1-HySI Payload -- 6.4 Calibration and Correction -- 6.5 Instrument Performance and Test Results -- 6.6 Data System -- 6.7 On-Orbit Operations -- 6.8 Lessons Learned During Instrument Design and Build -- 6.9 Science and Applications -- 6.10 Conclusion -- Acknowledgments -- References Chapter 7 Environmental Mapping and Analysis Program - A German Hyperspectral Mission -- 7.1 Introduction -- 7.2 Instrument Concept, Parameters and Technologies -- 7.3 Calibration and Correction -- 7.4 Instrument SNR Performance -- 7.5 Data System -- 7.6 On-Orbit Operations -- 7.7 Preparatory Program for Science and Applications -- 7.8 Conclusion -- Acknowledgments -- References -- Chapter 8 Hyperspectral Payload for Italian PRISMA Programme -- 8.1 Introduction -- 8.2 Instrument Overview -- 8.3 Thermo-Mechanical Design -- 8.4 Optical Head -- 8.5 Telescope -- 8.6 Hyperspectral Imager 8.7 Mechanisms 9781118945148 print version oai:cds.cern.ch:2204406 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4093367 ebook ebook EBL201608 Engineering SzGeCERN BOOK n 201631 201608 21 PUBLIC BOOK DELETED 2204401 SzGeCERN 20170921004340.0 9781471836046 23.98 (NL),19.18 (1U) electronic version EBL 4093265 eng QA76.28 Reid, Greg How to pass higher computing science for CfE London Hodder Education Group 2015 112 p Cover -- Book title -- Contents -- Introduction -- Unit 1 Software Design and Development -- Chapter 1 Languages and environments -- Chapter 2 Continuing programming from National 5 to Higher -- Chapter 3 Data types, data structures, scope and parameters -- Chapter 4 Standard algorithms -- Chapter 5 Testing and debugging programs -- Chapter 6 File handling -- Chapter 7 Software design methodologies and notations -- Chapter 8 Data representation -- Chapter 9 Low level operations and structure -- Chapter 10 Contemporary developments -- Chapter 11 SDD unit assessment preparation Unit 2 Information Systems Design and Development -- Chapter 12 Relational database design, implementation and use -- Chapter 13 Website design and implementation -- Chapter 14 User interfaces and types of user -- Chapter 15 Compressing media types -- Chapter 16 Coding and testing -- Chapter 17 Technical implementation -- Chapter 18 Security risks and precautions -- Chapter 19 Legal implications -- Chapter 20 Economic, social and environmental impacts -- Chapter 21 ISDD unit assessment preparation -- Coursework and Exam -- Coursework preparation -- Appendices Appendix A: CSS properties and values -- Appendix B: HTML tag reference -- Appendix C: JavaScript code reference -- Appendix D: Course Assessment Specification -- Answers to Questions 9781471836039 print version oai:cds.cern.ch:2204401 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4093265 ebook ebook EBL201608 Computing and Computers SzGeCERN BOOK n 201631 201608 21 PUBLIC BOOK DELETED 2204379 SzGeCERN 20210421213516.0 9780128040386 9780128051924 0128051922 oai:cds.cern.ch:2204379 cerncds:BOOK SAFARI 9780128051924 eng TK1541 621.312136 Breeze, Paul Wind power generation Amsterdam Academic Press 2015 105 p ebook Front Cover -- Wind Power Generation -- Copyright Page -- Contents -- 1 An Introduction to Wind Power -- The History of Wind Power -- Global Wind Power Capacity -- 2 The Wind Energy Resource -- Wind Speed and Power Generation -- The Global Wind Resource -- 3 The Anatomy of a Wind Turbine -- Vertical Axis Wind Turbines -- Horizontal Axis Wind Turbines -- 4 Rotors and Blades -- Blade Length -- Rotor Aerodynamics -- Energy Capture -- Tip Speed Ratio -- Speed Control -- Blade Design and Construction -- Advanced Blade and Rotor Design -- Turbine Lifetimes 5 Drive Trains, Gearboxes, and Generators -- The Wind Turbine Gearbox -- Generators for Wind Turbines -- Doubly-Fed Induction Generators -- Synchronous Generators -- Direct Drive Generators -- 6 Nacelles and Towers -- The Nacelle -- Tower-Top Real-Time Condition Monitoring -- The Yaw Bearing and Motor -- Wind Turbine Towers -- Wind Turbine Foundations -- Wind Turbine Resonances -- 7 Wind Farms, Electrical Optimization, and Repowering -- Array Optimization -- Cable Layout -- Wind Turbine Transformers -- Repowering Wind Farms -- 8 Small Wind Turbines Small Wind Turbine Manufacturers and Applications -- Small Wind Turbine Technologies -- Siting Small Wind Turbines -- 9 Offshore Wind -- Offshore Wind Turbine Technology -- Foundations for Offshore Wind Turbines -- Floating Wind Turbine Foundations -- Offshore Wind Turbine Size -- Infrastructure Considerations and Offshore Grids -- 10 Wind Power Grid Integration and Environmental Issues -- Wind Integration and Grid Operation -- Energy Storage -- Geographical Averaging of Wind Output -- Wind Integration Limits -- Wind Energy and Grid Structural Issues -- Wind Power and the Environment 11 The Cost of Electricity from Wind Turbines -- Levelized Cost of Energy Model -- Wind Turbine Capital Costs -- The Levelized Cost of Wind Energy -- Back Cover SAF201707 EBLlink deleted SzGeCERN Engineering BOOK https://learning.oreilly.com/library/view/-/9780128051924/?ar ebook 201608 n 201631 21 PUBLIC https://catalogue.library.cern/legacy/2204379 BOOK MIGRATED 2204352 SzGeCERN 20170811001653.0 9781482225235 162.44 (3U),129.95 (1U) electronic version EBL 4067514 eng T50.H265 2016 530.8/1 Badiru, Adedeji B Handbook of measurements benchmarks for systems accuracy and precision Boca Raton, FL CRC Press 2015 711 p Industrial innovation series 37 Front Cover -- Dedication -- Contents -- Preface -- Acknowledgments -- Editors -- Contributors -- chapter one - Fundamentals of measurement -- chapter two - Human factors measurement -- chapter three - Measurements of environmental health -- chapter four - Measurement of environmental contamination -- chapter five - Measurement of land -- chapter six - Measuring building performance -- chapter seven - Energy systems measurements -- chapter eight - Economic systems measurement -- chapter nine - Measurement and quantum mechanics -- chapter ten - Social science measurement chapter eleven - Systems interoperability measurement -- chapter twelve - A generalized measurement model to quantify health -- chapter thirteen - Evolution of large-scale dimensional metrology from the viewpoint of scientific articles and patents -- chapter fourteen - Gaussian-smoothed Wigner function and its application to precision analysis -- chapter fifteen - Measurement issues in performance-based logistics -- chapter sixteen - Data processing and acquisition systems -- chapter seventeen - Part A: Visualization of big data: Current trends chapter eighteen - Part B: Visualization of big data: Ship maintenance metrics analysis -- chapter nineteen - Defining and measuring the success of services contracts -- chapter twenty - Measurement of personnel productivity: During government furlough programs -- chapter twenty-one - Measurement risk analysis -- chapter twenty-two - Data modeling for forecasting -- chapter twenty-three - Mathematical measurement of project parameters for multiresource control -- chapter twenty-four - Measurement and control of imprecision in engineering design chapter twenty-five - Fuzzy measurements in systems modeling -- chapter twenty-six - Using metrics to manage contractor performance -- chapter twenty-seven - Low-clutter method for bistatic RCS measurement -- Appendix A: Measurement references and conversion factors -- Appendix B: Measurement equations and formulas -- Appendix C: Slides of statistics for measurement -- Back Cover Racz, LeeAnn 9781482225228 print version oai:cds.cern.ch:2204352 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4067514 ebook ebook EBL201608 General Theoretical Physics SzGeCERN BOOK n 201631 201608 21 PUBLIC BOOK DELETED 2204328 SzGeCERN 20210421213521.0 9780124202436 print version 9780128007846 electronic version 179.91 (UA),119.94 (1U) electronic version oai:cds.cern.ch:2204328 cerncds:BOOK EBL 4042644 eng TJ1075 621.89 Sethuramiah, A Modeling of chemical wear relevance to practice Saint Louis, MO Elsevier Science 2016 242 p ebook Front Cover -- Modeling of Chemical Wear -- Copyright Page -- Contents -- Preface -- 1 Tribology in Perspective -- 1.1 Introduction -- 1.2 Surface Roughness Contact and Friction -- 1.2.1 Roughness -- 1.2.2 Contact of Rough Surfaces -- 1.2.2.1 Plastic Contact and Amontons' Laws of Friction -- 1.2.2.2 Elastic Contact and Friction -- 1.2.2.3 Limitations of the Simple Theory of Friction -- 1.2.2.3.1 Other Aspects of Friction -- 1.2.2.4 Models of Macro Friction and Their Status -- 1.3 Lubrication -- 1.3.1 Viscosity -- 1.3.2 Hydrodynamic Lubrication -- 1.3.3 Elastohydrodynamic Lubrication 1.3.4 Thinning Films and Boundary Lubrication -- Nomenclature -- Greek Letters -- References -- 2 Lubricants and Their Formulation -- 2.1 Introduction -- 2.2 Production of Base Oils -- 2.2.1 Crude Distillation -- 2.2.2 Refining of Base Stocks -- 2.3 Additives and Formulation Technology -- 2.3.1 Nature of Additives -- 2.3.2 Development of Formulations -- 2.3.2.1 Additive Interactions -- 2.3.2.2 Equipment Upgradation -- 2.4 Lubricant Specifications -- 2.4.1 Automotive Lubricants -- 2.4.2 Industrial Lubricants -- 2.5 Synthetic Lubricants -- 2.5.1 Types of Synthetic Lubricants and Their Applications 2.6 Environmental Issues -- 2.6.1 Effect of Lubricants on Environment -- 2.6.2 Approaches for Improvement -- 2.6.2.1 Modifying the Existing Products -- 2.6.2.2 New Eco-Friendly Formulations -- 2.7 The Art and Science of Performance -- Nomenclature -- References -- 3 Dry Wear Mechanisms and Modeling -- 3.1 Introduction -- 3.2 Hertzian Contact Stresses -- 3.2.1 Stresses in Point Contact -- Example 3.2.1.1 Point Contact Stresses -- 3.2.2 Stresses in Line Contact -- Example 3.2.2.1 Line Contact Stresses -- 3.3 Contact Temperature -- 3.3.1 Theoretical Approach for Smooth Surfaces Example 3.3.1.1 Smooth Surface Temperature Rise -- 3.3.2 Theoretical Approach for Rough Surface -- Example 3.3.2.1 Asperity Temperature Rise -- 3.4 Adhesive Wear -- 3.4.1 Phenomena -- 3.4.2 Modeling of Adhesive Wear -- 3.5 Abrasive Wear -- 3.5.1 Phenomena of Abrasive Wear -- 3.5.2 Modeling of Abrasive Wear -- 3.6 Fatigue Wear -- 3.6.1 Phenomena and Models -- Nomenclature -- Greek Letters -- References -- 4 Boundary Lubrication Mechanisms and Modeling -- 4.1 Introduction -- 4.2 Adsorption Based Boundary Lubrication -- 4.2.1 Monolayers -- 4.2.2 Real Systems and Dynamic Adsorption 4.2.3 Friction and Wear in Boundary Contacts -- 4.2.3.1 Friction -- 4.2.3.2 Wear -- 4.2.4 Scuffing Phenomena and Modeling -- 4.2.5 Lubricant Tribology at the Nanolevel -- 4.2.5.1 Relevance of Nanolubrication to the Macro Level -- 4.2.5.2 Applications of Nanotribology -- 4.3 Boundary Lubrication with Reaction Films -- 4.3.1 Sulfur Compounds and Their Action Mechanisms -- 4.3.2 Phosphorous Compounds and Their Action Mechanisms -- 4.3.3 Multifunctional Additives and Their Action Mechanisms -- 4.3.4 Nanoparticles as AW/EP Additives -- 4.4 Evaluation Methodologies -- 4.4.1 Types of Test Machines 4.4.2 Wear Evaluation and Its Limitations EBL201608 SzGeCERN Engineering BOOK Kumar, Rajesh https://cds.cern.ch/auth.py?r=EBLIB_P_4042644 ebook 201608 n 201631 21 PUBLIC https://catalogue.library.cern/legacy/2204328 BOOK MIGRATED 2203986 SzGeCERN 20191105222700.0 9780873897808 electronic version 42 (NL),63 (UA),52.5 (3U),42 (1U) electronic version 9780873897808 print version oai:cds.cern.ch:2203986 cerncds:BOOK EBL 3002605 eng R729.8 -- .A53 2009eb 610.28/9 Andersen, Bjørn Root cause analysis and improvement in the healthcare sector a step-by-step guide Milwaukee, WI ASQ Quality Press 2010 256 p Title page -- CIP data page -- Table of Contents -- CD-ROM Contents -- List of Acronyms -- Preface -- Chapter 1 Root Cause Analysis in Healthcare -- All Organizations Have Problems-Why Is RCA So Important in Healthcare? -- Brief History of RCA in Healthcare -- Definition of a Problem -- Different Levels of Causes -- The Nature of Variation -- Root Cause Analysis -- Related Tool, Processes, and Systems -- System-Level Impediments to Effective RCAs -- Person-Level Impediments to Effective RCAs -- Practice-Level Impediments to Effective RCAs -- Chapter 2 The Root Cause Analysis Process The Root Cause Analysis Process -- Explanation of the Table -- Examples -- Full Process Case Introduction -- Chapter 3 Step 1: Define the Event -- Purpose of Step 1: Define the Event -- Substeps in Step 1: Define the Event -- 1a: Trigger the RCA Process -- 1b: Mandate and Organize the RCA Team -- 1c: Plan the RCA Project -- Gantt Chart -- 1d: Describe the Event in Detail -- Eliminate Bias -- Interview -- Survey -- Checklist for Step 1: Define the Event -- RFO Case Step 1: Define the Event -- Project Planning -- Defining the Event -- Chapter 4 Step 2: Find Causes -- Purpose of Step 2: Find Causes Substeps in Step 2: Find Causes -- 2a: Process Mapping -- Flowchart -- Flowchart Example -- 2b: High-Level Mapping -- Contextual and Environmental Factors -- 2c: Brainstorming of Possible Causes -- Fishbone Chart -- Example Fishbone Chart -- Checklist for Step 2: Find Causes -- RFO Case Step 2: Find Causes -- High-Level Mapping -- Identifying Possible Causes -- Chapter 5 Step 3: Find the Root Cause -- Purpose of Step 3: Find the Root Cause -- Substeps in Step 3: Find the Root Cause -- 3a: Categorizing Possible Causes -- Possible Cause Category Examples -- 3b: Constructing a Cause-and-Event Tree Example Cause-and-Event Tree -- 3c: Analyze Possible Causes to Find the Root Cause -- Five Whys -- Example Five Whys -- Fault Tree -- Example Fault Tree -- Problem Concentration Diagram -- Example Problem Concentration Diagram -- Span of Control Analysis -- 3d: Collate the Findings -- Example Collate the Findings -- Checklist for Step 3: Find the Root Cause -- RFO Case Step 3: Find the Root Cause -- Cause-and-Event Tree -- Five Whys to Find Root Cause -- Collating the Findings -- Chapter 6 Step 4: Find Solution(s) -- Purpose of Step 4: Find Solution(s) -- Substeps in Step 4: Find Solution(s) 4a: Explore the Root Cause -- Exploration of the Root Cause in Practice -- 4b: Identify Solution(s) -- Benchmarking -- Using Benchmarking -- 4c: Specify/Describe the Solution(s) -- Checklist for Step 4: Find Solution(s) -- RFO Case Step 4: Find Solution(s) -- Benchmarking for Solutions -- Describing the Solutions -- Chapter 7 Step 5: Take Action -- Purpose of Step 5: Take Action -- Substeps in Step 5: Take Action -- 5a: Analyze the Implementation Setting -- Force Field Analysis -- Example Force Field Analysis -- 5b: Decide on the Implementation Organization 5c: Create an Accepted Implementation Plan Fagerhaug, Tom Beltz, Marti https://cds.cern.ch/auth.py?r=EBLIB_P_3002605 ebook ebook EBL Medical care -- Quality control EBL201608 Health Physics and Radiation Effects SzGeCERN BOOK n 201631 21 PUBLIC BOOK DELETED 2203984 SzGeCERN 20210421213641.0 9788132223368 print version 9788132223375 electronic version 229 (NL),229 (1U) electronic version oai:cds.cern.ch:2203984 cerncds:BOOK EBL 2120561 eng QC71.82-73.8 621.042 Sharma, Atul Energy sustainability through green energy New Delhi Springer 2015 530 p ebook Green energy and technology Foreword -- Preface -- Overview of the Book -- Acknowledgments -- Contents -- About the Editors -- Part I Solar Energy -- Solar Photovoltaic Technology and Its Sustainability -- Abstract -- 1 Introduction -- 1.1 The Sun -- 1.2 Solar Radiation -- 1.3 Advantages of Solar Energy -- 1.4 Disadvantages of Solar Energy -- 2 Classification of Solar Energy -- 3 Semiconductors: Building Blocks of Photovoltaic -- 3.1 Classification of Semiconductors -- 3.2 Types of Extrinsic Semiconductors -- 3.3 Formation of Photovoltaics -- 3.4 Working Principle of Photovoltaic Cell 3.5 Modeling of Photovoltaic Cell -- 4 Generations of Photovoltaic -- 4.1 First Generation -- 4.2 Second Generation -- 4.3 Third Generation -- 5 Types of PV Cell Materials -- 5.1 Single-Crystal Silicon Solar Cell -- 5.2 Gallium Arsenide Solar Cell -- 5.3 Thin-Film Solar Cell -- 5.4 Amorphous Silicon Solar Cell -- 5.5 Cadmium Telluride Solar Cell (CdTe) -- 5.6 Organic Solar Cells -- 6 Photovoltaic Applications -- 6.1 Hybrid Solar Power System -- 6.2 Solar Lighting System -- 6.3 Solar Lantern -- 6.4 Organic Light-emitting Diode (OLED) -- 7 Solar Power Projects 8 Comparison of Power Plants in India -- 9 Sustainability of Photovoltaics -- References -- Solar Drying-A Sustainable Way of Food Processing -- Abstract -- 1 Indian Agriculture and Its Economics -- 1.1 Post-Harvest Losses -- 2 Preservation Methods -- 3 Methods of Drying -- 3.1 Low-Temperature Drying -- 3.2 High-Temperature Drying -- 3.3 Freeze-Drying -- 3.4 Osmovac Drying -- 3.5 Desiccant Drying -- 4 Food Drying -- 4.1 Objectives of Drying -- 4.2 Classification and Selection of Dryers -- 5 Solar Drying -- 5.1 Comparing Solar Drying with Other Options -- 5.2 Design Consideration 5.2.1 Design Aspects of Drying Chamber -- 5.2.2 Thermodynamical Aspects -- 6 Effect of Parameters on Drying -- 6.1 Temperature -- 6.2 Mass Flow Rate -- 6.3 Relative Humidity of Air -- 6.4 Moisture Content of the Drying Product -- 7 Effect of Drying on Nutritional Value -- 7.1 Pre-treatment and its Influence on Nutrition Loss -- 7.2 Effect of Drying on Nutrients -- 8 Solar Driers in the Field -- 8.1 SPRERI Forced Circulation Solar Dryer -- 8.2 Solar Tunnel Dryer at Udaipur -- 8.3 Solar Cabinet Drier: CUSAT -- 8.4 Tunnel Drier for Copra Drying: Pollachi 8.5 Drier Integrated with Solar Air Heater-CUSAT -- 8.6 An Indirect Solar Dryer for Paddy Drying: Planters Energy Network -- 8.7 Solar Dryer with Wire Mesh Air Heater: Pondicherry University -- 8.8 Solar Tunnel Dryer: Pondicherry University -- 8.9 SEED Dryer -- 8.10 Portable Farm Dryer by Punjab Agricultural University -- 9 Economic Analysis for Solar Drying -- 9.1 Annualized Cost -- 9.2 Life Cycle Savings -- 9.3 Payback Period -- 10 Conclusion -- References -- Jawaharlal Nehru National Solar Mission in India -- Abstract -- 1 Introduction -- 1.1 The Global Environmental Scene 1.2 Energy Supply Options for Mitigation of Harmful Gases This book shares the latest developments and advances in materials and processes involved in the energy generation, transmission, distribution and storage. Chapters are written by researchers in the energy and materials field. Topics include, but are not limited to, energy from biomass, bio-gas and bio-fuels; solar, wind, geothermal, hydro power, wave energy; energy-transmission, distribution and storage; energy-efficient lighting buildings; energy sustainability; hydrogen and fuel cells; energy policy for new and renewable energy technologies and education for sustainable energy development EBL201608 Engineering SzGeCERN EBL Clean energy EBL Energy development -- Environmental aspects BOOK Kar, Sanjay Kumar https://cds.cern.ch/auth.py?r=EBLIB_P_2120561 ebook n 201631 201608 21 PUBLIC https://catalogue.library.cern/legacy/2203984 BOOK MIGRATED 2203983 SzGeCERN 20180120020726.0 9783319155067 129 (NL),129 (1U) electronic version EBL 2120560 eng QC71.82-73.8 621.042 Rauland, Vanessa Decarbonising cities mainstreaming low carbon urban development Cham Springer 2015 273 p Green energy and technology Foreword -- Acknowledgments -- Contents -- Abbreviations -- 1 Addressing Three Wicked Problems -- 1.1 Introduction -- 1.2 Climate Change -- 1.3 Resource Depletion and Environmental Degradation -- 1.4 Population Growth -- 1.5 A Manageable Solution: How Cities Address the Challenges -- 1.6 Aim of the Book -- 1.7 Structure of Book -- References -- 2 The Global Shift to a Low-Carbon Economy -- 2.1 Introduction -- 2.2 Tackling Emissions: The Front-End Versus End-User -- 2.3 End-User Carbon Abatement -- 2.4 Using Cities to Lead the Decarbonisation Effort 2.5 Recognising Carbon Reduction in Urban Development -- 2.6 Conclusion -- References -- 3 Why Cities? -- 3.1 Introduction -- 3.2 The Vulnerability of Cities to Climate Change -- 3.3 Cities' Contribution to Carbon Emissions -- 3.4 Why Cities Are Fundamental in Tackling Climate Change -- 3.5 Carbon and the Built Environment---An Australian Perspective -- 3.5.1 Urban Form -- 3.5.2 Transport -- 3.5.2.1 Improving Transport -- 3.5.3 Materials and Construction -- 3.5.3.1 Types of Materials -- 3.5.3.2 The Effect of Improved Operational Performance of Buildings -- 3.5.4 The Role of Energy Efficiency 3.5.5 Resource Management -- 3.5.6 Density and Urban Form -- 3.6 Conclusion -- References -- 4 Low-Carbon Resource Management in Cities -- 4.1 Introduction -- 4.2 Centralised Versus Decentralised Management Approaches -- 4.2.1 Electricity Generation -- 4.2.1.1 Alternative Approaches for Electricity Generation -- 4.2.1.2 Smart Grids -- 4.2.2 Water Management -- 4.2.2.1 Urban Water System -- 4.2.2.2 Dams and Reservoirs -- 4.2.2.3 Groundwater -- 4.2.2.4 Desalination -- 4.2.2.5 Wastewater Treatment -- 4.2.2.6 Distribution -- 4.2.2.7 End-Use Water Emissions 4.2.2.8 Alternative Water Management and Urban Design -- 4.2.3 Waste Management -- 4.2.3.1 Landfill -- 4.2.3.2 Alternative Approaches to Waste Management -- 4.3 Closing Resource Loops -- 4.4 Green Infrastructure -- 4.5 Conclusion -- References -- 5 The Precinct---The New Scale for Decarbonising -- 5.1 Introduction -- 5.2 Defining the Precinct -- 5.3 Why the Precinct Scale? -- 5.3.1 Inclusion of Additional Urban Factors -- 5.3.2 Scale of Communities -- 5.3.3 Scale of Developers -- 5.3.4 Access to Local Government -- 5.3.5 Scale of Emerging Low Carbon Technologies -- 5.4 Conclusion -- References 6 Eco-Precincts -- 6.1 Introduction -- 6.2 International Case Studies -- 6.2.1 BedZED---UK -- 6.2.1.1 Eco-Claim -- 6.2.1.2 Low-Carbon Initiatives -- 6.2.1.3 Success -- 6.2.2 Vauban, Freiburg---Germany -- 6.2.2.1 Eco-Claim -- 6.2.2.2 Low-Carbon Initiatives -- 6.2.2.3 Success -- 6.2.3 B001, Western Harbour, Malmo---Sweden -- 6.2.3.1 Eco-Claim -- 6.2.3.2 Low-Carbon Initiatives -- 6.2.3.3 Success -- 6.2.4 Hammarby Sjostad, Stockholm---Sweden -- 6.2.4.1 Eco-Claim -- 6.2.4.2 Low-Carbon Initiatives -- 6.2.4.3 Success -- 6.2.5 Masdar---United Arab Emirates -- 6.2.5.1 Eco-Claim 6.2.5.2 Low-Carbon Initiatives This book sets out some positive directions to move forward including government policy and regulatory options, an innovative GRID (Greening, Regenerative, Improvement Districts) scheme that can assist with funding and management, and the first steps towards an innovative carbon credit scheme for the built environment. Decarbonising cities is a global agenda with huge significance for the future of urban civilisation. Global demonstrations have shown that technology and design issues are largely solved. However, the mainstreaming of low carbon urban development, particularly at the precinct 9783319155050 print version oai:cds.cern.ch:2203983 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_2120560 ebook ebook EBL Carbon dioxide mitigation EBL City planning -- Environmental aspects EBL201608 Engineering SzGeCERN BOOK n 201631 201608 21 PUBLIC BOOK DELETED 2203977 SzGeCERN 20170811001653.0 9789401797689 99 (NL),99 (1U) electronic version EBL 2095738 eng QC71.82-73.8 621.042 Jabareen, Yosef The risk city cities countering climate change : emerging planning theories and practices around the world Dordrecht Springer 2015 212 p Lecture notes in energy 29 Acknowledgments -- Contents -- List of Figures -- List of Tables -- 1 Introduction -- 1.1 Spatializing the Risk Society -- 1.2 The Risk City: The Theoretical Framework -- 1.3 The Risk City as a ``Lack'' and an ``Illusion'' -- 1.4 Emerging Planning Practices Countering the Risk of Climate Change -- 1.5 Practices Around the World -- 1.6 The Deficiencies of Climate Change Master Planning -- 1.7 The Risk City Resilience Trajectory -- 1.8 Climate Change Is ``Already Happening'': The Deficient Resilient City -- 1.9 The Risk City and the Challenge to the Neoliberal Agenda -- References 2 Theorizing the Risk City -- 2.1 From the World Risk Society to the Risk City -- 2.2 The Risk City: The Framework -- 2.2.1 The Risk City as a Construct of Risk -- 2.2.1.1 Power and the Conception of Risk -- 2.2.2 The Risk City as a Construct of Trust -- 2.2.3 The Risk City as a Construct of Practice -- 2.3 The Risk City and the Dilemma of Lack -- 2.3.1 The Geographies of the Risk City -- 2.4 The Risk City as a Risking City -- 2.5 Conclusions -- References -- 3 Planning Practices for Cities Countering Climate Change -- 3.1 Introduction -- 3.2 Methodology: How to Construct a Conceptual Framework 3.3 The Concepts of the Risk City Praxis -- 3.3.1 Utopian Vision -- 3.3.2 Equity -- 3.3.3 Mitigation -- 3.3.3.1 Natural Capital -- 3.3.3.2 Ecological Energy -- 3.3.3.3 Eco-Form: The Urban Form of the Risk City -- 3.3.4 Integrative Urban Governance -- 3.3.5 Ecological Economics -- 3.3.6 Adaptation -- 3.3.6.1 Uncertainty -- 3.3.6.2 Measures -- 3.3.6.3 Urban Vulnerability Matrix -- 3.4 Conclusions: The Planning for Countering Climate Change Framework -- References -- 4 Assessment Methods: Planning Practices Countering Climate Change -- 4.1 Introduction 4.2 Planning Evaluation Methods and Climate Change -- 4.3 The Countering Climate Change Evaluation Method (CCCEM) -- 4.4 The Concepts of Assessment -- 4.4.1 Concept 1: Utopian Vision -- 4.4.2 Concept 2: Equity -- 4.4.3 Concept 3: Mitigation -- 4.4.3.1 Natural Capital -- 4.4.3.2 Ecological (Renewable) Energy -- 4.4.3.3 Eco-Form -- 4.4.4 Concept 4: Adaptation -- 4.4.4.1 Uncertainty -- 4.4.4.2 Material Measures -- 4.4.4.3 Urban Vulnerability Matrix -- 4.4.5 Concept 5: Integrative Approach -- 4.4.6 Concept 6: Ecological Economics -- 4.5 Conclusions -- References 5 Contemporary Planning of the Risk City: The Case of New York City -- 5.1 Introduction -- 5.2 The Assessment of PlaNYC -- 5.2.1 The Utopian Vision of PlaNYC: The Problem Statement -- 5.2.2 Adaptation in PlaNYC -- 5.2.2.1 Uncertainties -- 5.2.2.2 Material Measures -- 5.2.2.3 Urban Vulnerability Matrix -- 5.2.3 Equity and Justice of PlaNYC: Public Participation -- 5.2.4 Urban Governance -- 5.2.5 Ecological Economics of PlaNYC -- 5.2.6 Mitigation -- 5.2.6.1 Natural Capital of PlaNYC -- 5.2.6.2 Ecological Energy of PlaNYC -- 5.2.6.3 Eco-Form in PlaNYC 5.3 Conclusions and Advice to Planners and Policy Makers Contemporary cities face phenomenal risks, and they face particularly high levels of mounting social and environmental risks, including social polarization, urban conflicts, riots, terror, and climate change threats. This book suggests that climate change and its resulting uncertainties challenge the concepts, procedures, and scope of conventional approaches to planning, creating a need to rethink and revise current planning methods. Therefore, this book suggests a paradigm shift in our thinking, interrogation, and planning of our cities. Based on the contemporary conditions of risk at cities 9789401797672 print version oai:cds.cern.ch:2203977 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_2095738 ebook ebook EBL City planning -- Environmental aspects EBL Climatic changes -- Effect of human beings on EBL Climatic changes -- Social aspects EBL Climatic changes EBL Urban ecology (Sociology) EBL Urban health EBL201608 Engineering SzGeCERN BOOK n 201631 201608 21 PUBLIC BOOK DELETED 2203976 SzGeCERN 20180410204924.0 9789401798433 129 (NL),129 (1U) electronic version EBL 2094493 eng QC71.82-73.8 621.042 Frolova, Marina Renewable energies and European landscapes lessons from Southern European cases Dordrecht Springer 2015 298 p Acknowledgements -- Contents -- Contributors -- Part I: Conceptualising Renewable Energy Landscapes -- Chapter 1: Emerging Renewable Energy Landscapes in Southern European Countries -- 1.1 Introduction -- 1.2 Emerging Renewable Energies in Southern European Countries -- 1.3 Increasing Tensions and the Debated Role of Institutional Settings -- 1.4 The Contested Emergence of Renewable Energy Landscapes -- 1.5 Evolving Landscape Values and Approaches -- 1.6 Energy Landscapes as Heterogeneous and Multidimensional Processes -- 1.7 Exploring Different Types of Energy Landscapes in Southern Europe 1.7.1 Traditional Renewable Power Landscapes: Hydropower Landscapes -- 1.7.2 New Renewable Energy Landscapes -- 1.7.2.1 Wind Power Landscapes -- 1.7.2.2 Solar Power Landscapes -- 1.7.2.3 Bioenergy Landscapes -- 1.8 Contents of the Book -- 1.9 Challenges Ahead -- References -- Chapter 2: Landscapes of Energies, a Perspective on the Energy Transition -- 2.1 Introduction -- 2.2 Evolving Our Energy Mix -- 2.2.1 Energy Transition and Societal Change -- 2.2.2 Technology as a System -- 2.2.3 Technology as a Process -- 2.3 A Missing Link -- 2.4 Evolving Our Landscapes -- 2.5 Conclusion -- References Part II: Development of New Energies and Emerging Landscapes -- Chapter 3: A Country of Windmills -- 3.1 Introduction -- 3.2 Factors Explaining the Development of Wind Energy in Spain and Its Unique Deployment Process -- 3.2.1 An Abundant Resource, a Highly Favourable Political and Financial Framework and Some Active Developers -- 3.2.2 A Deployment Model Characterised by Varying Administrative Frameworks, the Absence of Any Landscape Regulations and a General Lack of Opposition -- 3.3 Results of the Process: Light and Shade in Wind Energy in Spain 3.3.1 The Scale of Wind Energy Production and Its Economic Importance -- 3.3.2 A Wide Deployment of Wind Power Across the Country Creating New Landscapes in the Form of Lines of Turbines and Wind Parks -- 3.3.3 Impacts, Tensions and Conflicts: The Landscape as a Backdrop -- 3.4 Case Study: A New Vision of the Landscape and the Territory in View of the Development of Wind Energy in Mountain, Coastal and Inland Plain Areas -- 3.4.1 The Cantabrian Cordillera: The Blurred Line Between Environmental Protection and Wind Energy Expansion 3.4.2 The Plains: An Area with a Large Capacity to House Energy Infrastructures -- 3.4.3 The Cadiz Coastline -- 3.5 Conclusions -- References -- Chapter 4: Solar Photovoltaic Power in Spain -- 4.1 Introduction -- 4.2 Development of Photovoltaic Energy Production in Spain -- 4.3 Factors Contributing to the Expansion of Photovoltaic Energy -- 4.4 Impact on Landscape and Emerging Landscapes -- 4.4.1 Photovoltaic Plants (Solar Farms) -- 4.4.2 Isolated Photovoltaic Installations in Rural Areas -- 4.4.3 Solar PV Power in Urban Areas -- 4.4.3.1 City-Level Projects and Ordinances 4.4.3.2 The Development of Photovoltaic Energy in Buildings and Urban Furniture This book provides timely, multidisciplinary cross-national comparison of the institutional and social processes through which renewable energy landscapes have emerged in Southern Europe. On the basis of case studies in these countries, it analyzes the way in which and the extent to which the development of renewable energies has affected landscape forms and whether or not it has contributed to a reformulation of landscape practices and values in these countries. Landscape is conceived broadly, as a material, social, political and historical process embedded into the local realm, going beyond Prados, María-José Nadaï, Alain 9789401798426 print version oai:cds.cern.ch:2203976 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_2094493 ebook ebook EBL201608 Engineering SzGeCERN BOOK n 201631 201608 21 PUBLIC BOOK DELETED 2203962 SzGeCERN 20180120020726.0 9781493912704 109 (NL),109 (1U) electronic version EBL 1802704 eng QA75.5-76.95 004 Langdon, Melissa The work of art in a digital age art, technology and globalisation New York, NY Springer 2014 171 p Preface -- Acknowledgements -- Contents -- Chapter-1 -- Introduction: Towards New Understandings -- Introduction -- The Approach -- Digital Art as a Critical Language -- Chapter Summary -- Chapter-2 -- Digital Art and Cultural Commentary -- Introduction -- Art and Technological Change -- Digital Art Terminologies -- Art and Cultural Critique -- The Production of Art -- Art and Digital Technology -- Situationist Art -- Art and Attention Economies -- Open Art -- Interactivity and Criticism -- Affective Art -- Conclusion -- Chapter-3 -- Globalisation and Digital Art -- Introduction Structuralist Approaches -- The Universal and the Particular -- Deconstructive Discourses -- Ethnographic Approaches -- Global Flows -- Affective Readings -- Conclusion -- Chapter-4 -- Digital Art and Political Revolt -- Introduction -- Enactments of Global Revolt -- ®™ark -- The Yes Men -- Globalisation and Political Protest -- Cultural Imperialism -- Ideological Revolt -- Net.Art Style -- Political Critique -- The Centre and the Periphery -- Conclusion -- Chapter-5 -- Global Space, Time and Speed: T_Visionarium II and Beijing Accelerator -- Introduction -- The Construction of T_Visionarium II The User Turned Artist -- Spatial, Temporal and Kinetic Flow -- Globalisation and Affective Experience -- Beijing Accelerator -- Conclusion -- Chapter-6 -- Metropolis: Imagining The Global City -- Introduction -- Constructing the City -- Shoba: Blowing Zen -- Nicholas Golebiewski: This is Where I Live -- PHAT: Harlem: The Ghetto Fabulous -- Beat Streuli: Pallasades 05-01-01, 2001 -- Tom Otterness: Nine Eleven -- Andy Diaz Hope: Financial District Infiltration: Everybody is Somebody's Terrorist -- Abbey Williams: YES -- Cristian Alexa: 10-Second Couples -- Brian Alfred: Overload -- Conclusion Chapter-7 -- In the Line of Flight: Changing Practices in Digital Art -- Introduction -- Global Collaboration -- Leon Cmielewski and Josephine Starrs: Floating Territories -- Blast Theory: Can You See Me Now? -- Justine Cooper: Transformers -- Marnix De Nijs: Run Motherfucker Run -- Kaho Abe and Jung Sin: Haptic Glove -- Joanna Berzowska: Intimate Memory Shirt/Feathery Dresses -- Conversations on Globalisation -- Conclusion -- Chapter-8 -- Digital Art and Social Engagement -- Introduction -- Kevin Macdonald: Life in a Day -- Social and Political Messages -- Global Production Social and Political Effectiveness -- Ibrahim Hamdan: Images of Revolution -- Criticism of Online Campaigns -- Digital Media as a Popular Barometer -- Achieving Social and Political Change -- Lara Baladi: Alone, Together…In Media Res -- Social and Political Engagement -- Social and Political Effectiveness -- Art and Environmentalism -- Chris Jordan, Midway: Message from the Gyre -- Active Art -- Conclusion -- Chapter-9 -- Conclusion: Digital Art as a Platform of Articulation -- Introduction -- Digital Art as Art -- Digital Media as a Humanising Technology -- Looking Forward Selected Bibliography Presents an in-depth exploration of how digital art can articulate globalization's human affects Describes how digital art can facilitate and generate new understandings of globalization and analyzes how digital art's discursive function is similar to earlier art forms Illustrates globalization's impacts on digital artists and digital art practices through a close examination of a broad range of international artworks 9781493912698 print version oai:cds.cern.ch:2203962 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1802704 ebook ebook EBL201608 Computing and Computers SzGeCERN BOOK n 201631 201608 21 PUBLIC BOOK DELETED 2203961 SzGeCERN 20180120020726.0 9783319098166 109 (NL),109 (1U) electronic version EBL 1802549 eng QA75.5-76.95 004 Vassev, Emil Autonomy requirements engineering for space missions Cham Springer 2014 260 p NASA monographs in systems and software engineering Preface -- Acknowledgments -- Abbreviations -- Contents -- 1 Software Engineering for Aerospace: State of the Art -- 1.1 Introduction: The Specifics of Aerospace Industry -- 1.1.1 Emphasis on Safety -- 1.1.2 Standardization -- 1.1.3 Complexity -- 1.1.4 Diversity of Platforms -- 1.2 Software Engineering Process for Aerospace -- 1.2.1 Requirements Engineering and Modeling -- 1.2.2 Managing Safety and Risk -- 1.2.3 Dealing with Complexity -- 1.2.4 Design -- 1.2.5 Implementation -- 1.2.6 Testing, Verification and Validation -- 1.3 Methods, Techniques and Architecture Approaches for Aerospace 1.3.1 Formal Methods -- 1.3.2 Software Verification and Validation -- 1.3.3 SOA -- 1.3.4 Multi-agent Systems -- 1.4 Autonomous and Autonomic Aerospace Systems -- 1.4.1 Autonomy Versus Automation -- 1.4.2 Autonomic Computing -- 1.4.3 Engineering Resilient Systems with Adaptability -- 1.4.4 Integrated Vehicle Health Management -- 1.4.5 UAV -- 1.4.6 Formal Methods for Autonomic Computing -- 1.4.7 Software Engineering Aspects, Conclusions and Recommendations -- 1.5 Approaches to Requirements Engineering for Autonomous Systems -- 1.5.1 Goal-Oriented Requirements Engineering 1.5.2 The ASSL Approach to Requirements Engineering for Autonomic Systems -- 1.5.3 Requirements for Autonomous Unmanned Air Systems -- 1.6 Summary -- References -- 2 Handling Autonomy Requirements for ESA Systems -- 2.1 Introduction -- 2.1.1 Autonomy and Automation -- 2.1.2 Levels of Autonomy for ESA Missions -- 2.2 Requirements Engineering, Specification Models and Formal Methods for Aerospace -- 2.2.1 Requirements Specification and Modeling -- 2.2.2 Requirements Engineering for Autonomous Systems -- 2.2.3 Generic Autonomy Requirements -- 2.3 Generic Autonomy Requirements for Space Missions 2.3.1 Space Mission Requirements Analysis -- 2.3.2 Earth-Orbiting Missions -- 2.3.3 Interplanetary Missions -- 2.4 Controller Architectures for Robotic Systems -- 2.4.1 Architectural Issues Related to Autonomy -- 2.4.2 Controller Architectures for Robotic Systems -- 2.5 Formal Methods for ARE -- 2.5.1 Goal-Oriented Requirements Engineering -- 2.5.2 Awareness Modeling -- 2.5.3 ASSL -- 2.5.4 KnowLang -- 2.6 Case Studies: Specifying Autonomy Requirements -- 2.6.1 Handling Autonomy Requirements with KnowLang -- 2.6.2 Specifying Autonomy Requirements for Voyager with ASSL -- 2.7 Summary -- References 3 Autonomy Requirements Engineering -- 3.1 Introduction -- 3.2 ARE: Autonomy Requirements Engineering -- 3.2.1 GAR: Generic Autonomy Requirements -- 3.2.2 GORE for ARE -- 3.2.3 Understanding ARE -- 3.2.4 From Goals to Self-* Objectives -- 3.2.5 Recording Self-* Objectives -- 3.2.6 Variability Points and Degree of Goals Satisfaction in ARE -- 3.3 The Spacecraft in BepiColombo Mission -- 3.3.1 Planetary Orbiter -- 3.3.2 Mercury Magnetospheric Orbiter -- 3.3.3 Composite Module (MPO and MMO) -- 3.3.4 Transfer Module -- 3.3.5 Carrier Spacecraft -- 3.4 GORE for BepiColombo -- 3.4.1 Mission Objectives 3.4.2 Environmental Constraints for BepiColombo Advanced space exploration is performed by unmanned missions with integrated autonomy in both flight and ground systems. Risk and feasibility are major factors supporting the use of unmanned craft and the use of automation and robotic technologies where possible. Autonomy in space helps to increase the amount of science data returned from missions, perform new science, and reduce mission costs.Elicitation and expression of autonomy requirements is one of the most significant challenges the autonomous spacecraft engineers need to overcome today. This book discusses the Autonomy Requirements Eng Hinchey, Mike 9783319098159 print version oai:cds.cern.ch:2203961 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1802549 ebook ebook EBL201608 Computing and Computers SzGeCERN BOOK n 201631 201608 21 PUBLIC BOOK DELETED 2203953 SzGeCERN 20191106223624.0 9783319058757 print version 9783319058764 electronic version 119 (NL),119 (1U) electronic version oai:cds.cern.ch:2203953 cerncds:BOOK EBL 1782873 eng QC71.82-73.8 621.042 Bahadori, Mehdi N Wind towers architecture, climate and sustainability Cham Springer 2014 218 p Contents -- Glossary -- Chapter 1: Introduction -- References -- Chapter 2: The History of Baudgeers -- 2.1 Introduction -- 2.2 Reported Knowledge and Texts of Baudgeers in Iranian Literature -- 2.2.1 History of Baudgeers in Literature of Iranians -- 2.2.2 History of Baudgeers from Foreign Travelers' Account -- 2.3 History of Baudgeers Reported in the Iranian Architecture -- 2.4 Historical Account of Baudgeers in the Buildings in the Arabic Countries -- References -- Chapter 3: The Architecture of Baudgeers -- 3.1 Types of Baudgeers -- 3.1.1 One-Sided Baudgeers -- 3.1.2 Two-Sided Baudgeers 3.1.3 Four, Six, Eight-Sided Baudgeers -- 3.1.4 Cylindrical Baudgeers -- 3.2 Unique Baudgeers -- 3.2.1 Eight-Sided Baudgeer of Dowlat Abbad Garden in Yazd -- 3.2.2 Cellular Baudgeers of Brojerdy's House in Kashan -- 3.2.3 Three-Story, Four-Sided Baudgeer of Sadri Garden (Namir) in Taft -- 3.2.4 Sirjan Pipe-Like Baudgeer -- 3.2.5 Eight-Sided, Two-Story Baudgeer of Amir Garden in Tabas -- 3.2.6 Two-Sided, Four-Sided Baudgeer of Aghazadeh House in Abarkuh -- 3.2.7 A Circular Two-Story Baudgeer in Chehel Sotoun Palace of Sarhang Abbad 3.3 Short Eastern, North Eastern, and South Eastern Baudgeers of Iran -- 3.4 Three-Sided Baudgeers -- 3.5 Some More Points on Baudgeers -- 3.5.1 Classification of Baudgeers -- 3.5.2 Method of Constructing One-Sided Baudgeers in Ardakan and Maybod Areas -- 3.5.3 Construction of Four-Sided Baudgeers -- 3.5.3.1 Plan of the Baudgeer -- 3.5.3.2 Construction and Details -- 3.5.3.3 Mouth of the Baudgeer (Ventilating Part) -- 3.5.3.4 Constructing the Roof of the Baudgeer's Head -- 3.5.3.5 Partitioning the Column -- 3.6 Study of the Designs of Types of Baudgeers in Yazd 3.6.1 Recognition of Baudgeers According to the Blowing Direction -- 3.6.1.1 Two-Sided Baudgeers -- 3.6.1.2 Four-Sided Baudgeers -- 3.6.1.3 Six, Eight-Sided Baudgeers -- 3.6.2 Study of Baudgeers According to Plans -- 3.6.3 Kinds of Baudgeers According to Their Cross Sections -- 3.6.4 Designing of the Baudgeers -- 3.6.4.1 Shape of the Mouth -- 3.6.4.2 Height -- 3.6.4.3 Roofs of the Baudgeers -- 3.6.4.4 Decorations -- 3.7 Study of the Baudgeers According to Their Positions on the Plan of the House -- 3.8 Baudgeers in Other Countries -- 3.8.1 Baudgeers in Afghanistan -- 3.8.2 Baudgeers in Pakistan 3.8.3 Baudgeers (Malqaf) in Egypt -- 3.8.4 Baudgeers in Iraq -- 3.9 Some Other Issues Concerning Baudgeers -- References -- Chapter 4: An Analytical-Numerical Study of the Performance of Conventional Wind Towers -- 4.1 Environmental Elements Used to Estimate the Flow and Temperature of the Air in Conventional Baudgeers -- 4.1.1 The Solar Radiation -- 4.1.2 Ambient Temperature -- 4.2 Distribution of the Air Speed in a Baudgeer -- 4.3 Assessment of the Baudgeer's Temperature -- 4.4 Results of the Calculations -- References Chapter 5: An Analytical-Numerical Study of the Performance of New Designs of Wind Towers This book offers a holistic treatment of wind towers, from their underlying scientific principles to design and operation. Includes suggestions for optimization based on the authors' own research findings from recent analytical studies. Dehghani Sanij, Alireza Sayigh, Ali https://cds.cern.ch/auth.py?r=EBLIB_P_1782873 ebook ebook EBL Natural ventilation EBL201608 Engineering SzGeCERN BOOK n 201631 201608 21 PUBLIC BOOK DELETED 2203952 SzGeCERN 20170811001652.0 9783319049786 129 (NL),129 (1U) electronic version EBL 1782199 eng QC71.82-73.8 621.042 Madureira, Nuno Luis Key concepts in energy Cham Springer 2014 225 p Contents -- 1 Introduction -- Abstract -- 1.1 Introduction -- 1.1.1 The Time of Energy -- 1.1.2 Winners and Losers -- 1.1.3 Key Concepts -- 2 Primary EnergyUseful Energy -- Abstract -- 2.1 Energy Measurement -- 2.1.1 Input-Cycle Categories -- 2.1.2 The Measuring Rod of Money -- 2.2 Horsepower and "Calories" -- 2.2.1 The Power of Royalties -- 2.2.2 Blood Horses and Mechanical Horses -- 2.2.3 The Changeover to Heat -- 2.3 Omnipresent Energy -- 2.3.1 Energy Conservation -- 2.3.2 Man as a Living Machine -- 2.3.3 Overturning the Energy Value of Food -- 2.4 Energy Aggregation -- References 3 The Rebound Effect -- Abstract -- 3.1 The Riddle of Saving and Spending -- 3.2 Antecedents of the Coal Question -- 3.2.1 Tapping the Unobservable -- 3.2.2 The Geological Evidence -- 3.3 The Economic Theory of Resource Depletion -- 3.3.1 Startling Economic Factors -- 3.3.2 Coal and the Rebound Effect -- 3.3.3 Inevitable Scarcity -- 3.4 The Triumph of Geology -- 3.5 What to Expect from Energy Efficiency -- References -- 4 Technological Hybridization -- Abstract -- 4.1 Hybridization and Operational Asymmetry -- 4.2 Fuel Oil: A New Energy Source -- 4.2.1 Coal and Oil 4.2.2 US Oil Industry Markets -- 4.2.3 Innovation in Russia -- 4.2.4 Fuel Oil's Market Share -- 4.3 The Hybridization of Steam Engines -- 4.3.1 Oil-Firing Burners -- 4.3.2 Margins of Decision -- 4.4 Hybridization and the World Economy -- 4.4.1 The Role of Oil-Producing Countries -- 4.4.2 The 1920s Boom -- 4.5 Final Remarks -- References -- 5 Last Gasp -- Abstract -- 5.1 The Resilience of Old Technologies -- 5.1.1 The Sailing Ships Effect -- 5.1.2 Creation and Destruction -- 5.2 Charcoal and Coke: An Overview -- 5.2.1 Objective and Subjective Assessments -- 5.2.2 Fuel Efficiency in Ironworks 5.2.3 British Leadership in Coke Fueling -- 5.3 The Fight Back from Traditional Industries -- 5.3.1 The First Fight Back -- 5.3.2 The Second Fight Back -- 5.4 Ironworks and Forests -- 5.5 The Last Gasp in Prospect -- References -- 6 Oil Reserves and Peak Oil -- Abstract -- 6.1 Classifying Oil Reserves -- 6.2 Oil Conservation in the 1910s-1920s -- 6.2.1 The First Oil Survey -- 6.2.2 Forest Conservation and Oil Conservation -- 6.2.3 The Ecological Commonalities of Oilfields -- 6.2.4 Gas Pressure and Oil Recovery -- 6.3 The Technologies of Discovery -- 6.3.1 Finding Oil 6.3.2 Surface Indicators and Seismic Methods -- 6.3.3 The Oil Glut -- 6.4 Peak Oil -- 6.4.1 Hubbert's Peak -- 6.4.2 Peak Oil Critics -- 6.5 Epilogue -- References -- 7 Marginal Cost Pricing -- Abstract -- 7.1 Rate Systems and Pricing -- 7.2 Classification of Consumption or Classification of Consumers -- 7.2.1 The Competitive, Promotional, and Cost-Based Approach -- 7.2.1.1 Competitive Rate Systems -- 7.2.1.2 Promotional Rate Systems -- 7.2.1.3 Cost-Based Rate Systems -- 7.2.2 The Demand-Charge System -- 7.2.3 Downgrading of Peak-Load Concerns -- 7.3 Promotion Through Declining Price-Blocks 7.3.1 Network Expansion and Promotional Rates Highlights how key energy concepts surfaced, tracing their evolution throughout history to encompasses four economic concepts and four technological-engineering concepts developed through their history to conclude with current economic and environmental sciences Considers the process of energy-substitutions through complementary usages, hybridization and technological mixes Combines a conceptual approach with key theoretical concepts from engineering, geological and economic sciences providing cross disciplinary overview of energy fundamentals in a short and focused reading 9783319049779 print version oai:cds.cern.ch:2203952 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1782199 ebook ebook EBL Power (Mechanics) -- Popular works EBL201608 Engineering SzGeCERN BOOK n 201631 201608 21 PUBLIC BOOK DELETED 2203950 SzGeCERN 20170811001652.0 9781447164821 129 (NL),129 (1U) electronic version EBL 1781971 eng QC71.82-73.8 621.042 Domingos Padula, Antonio Liquid biofuels emergence, development and prospects London Springer 2014 273 p Lecture notes in energy 27 Introduction -- Contents -- Economic Issues in the Liquid Biofuels Industry -- Abstract -- 1 Introduction -- 2 Global Production and Consumption -- 3 Production Costs -- 4 Economic Issues Relating to Energy Security -- 5 Economic Issues Relating to Reducing Emissions -- 6 Economic Issues Relating to Rural Development -- 7 Discussion and Concluding Remarks -- References -- A Comparison Between Ethanol and Biodiesel Production: The Brazilian and European Experiences -- Abstract -- 1 Introduction -- 2 Brazilian Ethanol Policies, Production, Supply, and Demand -- 2.1 Ethanol Policy Scenario 2.2 Ethanol Production, Supply, and Demand -- 2.2.1 The Sugarcane Biomass -- 2.3 Production Costs -- 2.4 Costs on Transport and Logistics -- 2.4.1 Market Prices of Ethanol -- 3 European Biodiesel Policies, Production, Supply, and Demand -- 3.1 EU Biofuel Policy Scenario -- 3.2 Biodiesel Production, Consumption, and Trade -- 3.2.1 Biodiesel Feedstocks -- 3.3 Biodiesel Production Cost -- 4 Biofuels Sustainability of Ethanol and Biodiesel -- 4.1 Environmental Impacts of Biofuels: The GHG Emissions Saving -- 4.1.1 Brazilian Ethanol GHG Emissions -- 4.1.2 European Biodiesel GHG Emissions 5 Conclusions -- References -- Global Market Issues in the Liquid Biofuels Industry -- Abstract -- 1 Introduction -- 2 Liquid Biofuels -- 2.1 The Global Market for Ethanol -- 2.2 The Global Market for Biodiesel -- 2.3 Biofuels in Brazil -- 2.3.1 Supply and Demand: Brazil -- 2.3.2 Biofuels in the USA -- 2.3.3 Supply and Demand: The USA -- 3 Conclusions -- References -- The Biofuel Industry Concentration in Brazil Between 2005 and 2012 -- Abstract -- 1 Introduction -- 2 Market Concentration and its Impacts for an Industry -- 2.1 Biofuels Industry -- 3 Methodology -- 3.1 Partial Concentration Rate 3.2 Herfindahl-Hirschman Index -- 4 Results Analysis and Discussion -- 5 Final Considerations -- References -- Calculation of Raw Material Prices and Conversion Costs for Biofuels -- Abstract -- 1 Introduction -- 2 Theoretical Background -- 2.1 Calculation Model -- 2.1.1 Analysed Biofuels -- 2.1.2 Raw Material Prices -- 2.1.3 Conversion Costs -- 2.1.4 Total Production Costs -- 3 Results and Discussion -- 3.1 Influence of Economic Policies on Biofuels -- 4 Conclusions -- References -- Governance of Biodiesel Production Chain: An Analysis of Palm Oil Social Arrangements -- Abstract 1 Introduction -- 2 Methodological Procedures -- 3 Theoretical Reference -- 3.1 Frequency -- 3.2 Uncertainty -- 3.3 Asset Specificity -- 4 Results and Discussions -- 4.1 PNPB: Social Arrangements Undertaken Regarding Palm Oil -- 4.1.1 Governance Structure Recommended for Palm Oil Social Arrangements -- 4.1.2 Asset Specificity -- 4.1.3 Frequency -- 4.1.4 Degree of Uncertainty -- 5 Final Thoughts -- References -- An Economic Assessment of Second-Generation Liquid Fuels Production Possibilities -- Abstract -- 1 Major Concerns -- 2 Literature Review -- 3 Methodology 4 Approach to GHG Accounting and Pricing Discusses the debate on the emergence and diffusion of liquid biofuels as an energy source Presents the different elements that compose the debate on public policy, industry organization, competitiveness and sustainability of different systems for the production of liquid biofuels Covers the Brazilian experience of producing Ethanol and Biodiesel, as well as the experiences of other leading countries in the production of biofuels Bioenergy is coming to be seen as a priority on the international agenda, with the use of liquid biofuels a key strategy in the attempt to meet both the Silveira dos Santos, Manoela Benedetti Santos, Omar Inácio Borenstein, Denis 9781447164814 print version oai:cds.cern.ch:2203950 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1781971 ebook ebook EBL Biomass energy EBL201608 Engineering SzGeCERN BOOK n 201631 201608 21 PUBLIC BOOK DELETED 2203771 SzGeCERN 20171106062510.0 DOI 10.1088/1674-1056/25/11/119401 oai:arXiv.org:1608.00665 http://export.arxiv.org/oai2 2016-11-23 2016-12-02T09:33:44Z arXiv true arXiv arXiv:1608.00665 eng Zhang, Zhenxia Li, Xinqiao Wang, Chenyu Chen, Lunjin http://arxiv.org/pdf/1608.00665.pdf Preprint n 201631 Investigation of NWC-induced electron precipitation and theoretical simulation 01 Aug 2016 mult. p arXiv Enhancement of the electron fluxes in the inner radiation belt, which is induced by the powerful North West Cape (NWC) very-low-frequency (VLF) transmitter, have been observed and analyzed by several research groups. However, all of the previous publications have focused on NWC-induced >100-keV electrons only, based on observations from the Detection of Electro-Magnetic Emissions Transmitted from Earthquake Regions (DEMETER) and the Geostationary Operational Environmental Satellite (GOES) satellites. Here, we present flux enhancements with 30--100-keV electrons related to NWC transmitter for the first time, which were observed by the GOES satellite at night. Similar to the 100--300-keV precipitated-electron havior, the low energy 30--100-keV electron precipitation is primarily located east of the transmitter. However, the latter does not drift eastward to the same extent as the former, possibly because of the lower electron velocity. The 30--100-keV electrons are distributed in the L=1.8--2.1 shell range, in contrast to the 100--300-keV electrons which are at L=1.67--1.9. This is consistent with the perspective that the energy of the VLF-wave-induced electron flux enhancement decreases with higher L-shell values. We expand upon the rationality of the simultaneous enhancement of the 30--100- and 100--300-keV electron fluxes through comparison with the cyclotron resonance theory for the quasi-linear wave-particle interaction. In addition, we interpret the asymmetry characteristics of NWC electric power distribution in north and south hemisphere by ray tracing model. Finally, we present considerable discussion and show that good agreement exists between the observation of satellites and theory. http://creativecommons.org/licenses/by-nc-sa/4.0/ arXiv LANL EDS Other Fields of Physics arXiv physics.space-ph LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2203385 SzGeCERN 20170906214201.0 DOI 10.1016/j.physletb.2016.11.010 oai:arXiv.org:1608.00336 http://export.arxiv.org/oai2 2016-11-23 2016-11-23T06:17:31Z arXiv true arXiv Inspire 1478807 arXiv:1608.00336 eng Ebihara, Shu Boundary effects and gapped dispersion in rotating fermionic matter 2016 01 Aug 2016 6 p Comments: 6 pages, 1 figure Comments: 6 pages, 1 figure arXiv We discuss the importance of boundary effects on fermionic matter in a rotating frame. By explicit calculations at zero temperature we show that the scalar condensate of fermion and anti-fermion cannot be modified by the rotation once the boundary condition is properly implemented. The situation is qualitatively changed at finite temperature and/or in the presence of a sufficiently strong magnetic field that supersedes the boundary effects. Therefore, to establish an interpretation of the rotation as an effective chemical potential, it is crucial to consider further environmental effects such as the finite temperature and magnetic field. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Particle Physics - Phenomenology arXiv PREPRINT hep-ph LANL EDS Fukushima, Kenji Mameda, Kazuya Phys. Lett. B 764 2017 94 Phys. Lett. B764, 94 (2017) http://arxiv.org/pdf/1608.00336.pdf Preprint n 201631 11 PREPRINT Hidden 2203053 SzGeCERN 20210421213644.0 9781118947401 print version, hardback oai:cds.cern.ch:2203053 cerncds:BOOK eng Seinfeld, John H Atmospheric chemistry and physics from air pollution to climate change 3rd ed. Hoboken, NJ Wiley & Sons 2016 1152 p paper The book can be consulted by contacting: EN-MME-DI: Mathot, Serge Expanded and updated with new findings and new features Since the second edition of Seinfeld and Pandis’ classic textbook, significant progress has taken place in the field of atmospheric chemistry and physics, particularly in the areas of tropospheric chemistry, aerosols, and the science of climate change. A new edition of this comprehensive work has been developed by the renowned author team. Atmospheric Chemistry and Physics, 3rd Edition, as the previous two editions have done, provides a rigorous and comprehensive treatment of the chemistry and physics of the atmosphere – including the chemistry of the stratosphere and troposphere, aerosol physics and chemistry, atmospheric new particle formation, physical meteorology, cloud physics, global climate, statistical analysis of data, and mathematical chemical/transport models of the atmosphere. Each of these topics is covered in detail and in each area the central results are developed from first principles. In this way the reader gains a significant understanding of the science underlying atmospheric processes and will be able to extend theories and results to solving real world problems. The 3rd edition includes new chapters on Atmospheric Organic Aerosols and Global Climate, as well as a significantly updated chapter on Physical Meteorology. Many chapters and topics have been updated and expanded from the Second Edition, including the Chemistry of Biogenic Hydrocarbons in the Troposphere, especially Isoprene Chemistry; Aqueous-Phase Organic Chemistry; mechanisms of Nucleation in the Atmosphere; Aerosol-Cloud relationships; and Chemistry of Mercury. A new section on Positive Matrix Factorization is included that carefully develops this powerful statistical method for aerosol data analysis. New problems have been added, especially ones at a basic level, to increase the utility of this text in classroom situations. All chapters develop results based on fundamental principles, enabling the reader to build a solid understanding of the science underlying atmospheric processes. Readers familiar with the book will discover a text with many new and revised additions. Atmospheric Chemistry and Physics, 3rd Edition is an ideal textbook for upper-level undergraduate and graduate students, as well as a reference for researchers in environmental and atmospheric science, chemistry, meteorology, and civil and environmental engineering. SzGeCERN Chemical Physics and Chemistry BOOK Pandis, Spyros N h 201631 21 https://catalogue.library.cern/legacy/2203053 BOOK MIGRATED 2220548 SzGeCERN 20170819023128.0 oai:arXiv.org:1609.09242 http://export.arxiv.org/oai2 2016-09-30 2016-09-30T05:15:31Z arXiv true arXiv Inspire 1488549 arXiv:1609.09242 eng Brax, Philippe Atomic Interferometry Test of Dark Energy 2016 29 Sep 2016 26 p Comments: 26 pages, 3 figures Atomic interferometry can be used to probe dark energy models coupled to matter. We consider the constraints coming from recent experimental results on models generalising the inverse power law chameleons such as $f(R)$ gravity in the large curvature regime, the environmentally dependent dilaton and symmetrons. Using the tomographic description of these models, we find that only symmetrons with masses smaller than the dark energy scale can be efficiently tested. In this regime, the resulting constraints complement the bounds from the E\"otwash experiment and exclude small values of the symmetron self-coupling. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv General Theoretical Physics arXiv PREPRINT astro-ph.CO LANL EDS quant-ph LANL EDS Davis, Anne-Christine http://arxiv.org/pdf/1609.09242.pdf Preprint n 201639 11 PREPRINT Hidden 2220318 SzGeCERN 20170914221557.0 oai:arXiv.org:1609.08741 http://export.arxiv.org/oai2 2016-09-29 2016-09-29T05:21:31Z arXiv true arXiv arXiv:1609.08741 eng Yang, Zhe Magana-Loaiza, Omar S Mirhosseini, Mohammad Zhou, Yiyu Gao, Boshen Gao, Lu Rafsanjani, Seyed Mohammad Hashemi Long, Guilu Boyd, Robert W http://arxiv.org/pdf/1609.08741.pdf Preprint n 201639 Digital spiral object identification using random light 27 Sep 2016 5 p Photons that are entangled or correlated in orbital angular momentum have been extensively used for remote sensing, object identification and imaging. It has recently been demonstrated that intensity fluctuations give rise to the formation of correlations in the orbital angular momentum components and angular positions of random light. Here, we demonstrate that the spatial signatures and phase information of an object, with rotational symmetries, can be identified using classical orbital angular momentum correlations in random light. The Fourier components imprinted in the digital spiral spectrum of the object, measured through intensity correlations, unveil its spatial and phase information. Sharing similarities with conventional compressive sensing protocols that exploit sparsity to reduce the number of measurements required to reconstruct a signal, our technique allows sensing of an object with fewer measurements than other schemes that use pixel-by-pixel imaging. One remarkable advantage of our technique is the fact that it does not require the preparation of fragile quantum states of light and works at both low- and high-light levels. In addition, our technique is robust against environmental noise, a fundamental feature of any realistic scheme for remote sensing. Comments: 5 pages, 4 figures http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS General Theoretical Physics arXiv Other Fields of Physics arXiv quant-ph LANL EDS physics.optics LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2220237 SzGeCERN 20170819023125.0 DOI 10.1093/mnras/stw2285 oai:arXiv.org:1609.08866 http://export.arxiv.org/oai2 2016-10-05 2016-10-08T05:15:09Z arXiv true arXiv arXiv:1609.08866 eng Morelli, L Stellar populations in the bulges of isolated galaxies 2016 28 Sep 2016 29 p Comments: MNRAS in press. 29 pages, 12 figures, 10 Table. Figure A2 have lower resolution than in the original paper to match the arxiv requirements Comments: MNRAS in press. 29 pages, 12 figures, 10 Table. Figure A2 have lower resolution than in the original paper to match the arxiv requirements arXiv We present photometry and long-slit spectroscopy for 12 S0 and spiral galaxies selected from the Catalogue of Isolated Galaxies. The structural parameters of the sample galaxies are derived from the Sloan Digital Sky Survey i-band images by performing a two-dimensional photometric decomposition of the surface brightness distribution. This is assumed to be the sum of the contribution of a S\`ersic bulge, an exponential disc, and a Ferrers bar characterized by elliptical and concentric isophotes with constant ellipticity and position angles. The rotation curves and velocity dispersion profiles of the stellar component are measured from the spectra obtained along the major axis of galaxies. The radial profiles of the H{\beta}, Mg and Fe line-strength indices are derived too. Correlations between the central values of the Mg 2 and Fe line-strength indices and the velocity dispersion are found. The mean age, total metallicity and total {\alpha}/Fe enhancement of the stellar population in the centre and at the radius where the bulge gives the same contribution to the total surface brightness as the remaining components are obtained using stellar population models with variable element abundance ratios. We identify intermediate-age bulges with solar metallicity and old bulges with a large spread in metallicity. Most of the sample bulges display super-solar {\alpha}/Fe enhancement, no gradient in age and negative gradients of metallicity and {\alpha}/Fe enhancement. These findings support a formation scenario via dissipative collapse where environmental effects are remarkably less important than in the assembly of bulges of galaxies in groups and clusters. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Parmiggiani, M Corsini, E M Costantin, L Bontà, E Dalla Mèndez-Abreu, J Pizzella, A http://arxiv.org/pdf/1609.08866.pdf Preprint n 201639 11 PREPRINT Hidden 2220125 20251201182606.0 oai:cds.cern.ch:2220125 cerncds:TALK eng CERN. Geneva Cryogenic Safety - HSE seminar CERN - 503-1-001 - Council Chamber 2016-09-21T10:00:00 2016-09-21T10:20:00 495194c58 Cryogenic safety organisation at CERN 2016 2016-09-21 1964 Streaming video HSE Seminar Cryogenic Safety - HSE seminar 2016-09-21T10:00:00 <!--HTML-->With Safety being a top priority of CERN’s general policy, the Organisation defines and implements a Policy that sets out the general principles governing Safety at CERN. To the end of the attainment of said Safety objectives, the organic units (owners/users of the equipment) are assigned the responsibility for the implementation of the CERN Safety Policy at all levels of the organization, whereas the Health and Safety and Environmental Protection Unit (HSE) has the role of providing assistance for the implementation of the Safety Policy, and a monitoring role related to the implementation of continuous improvement of Safety, compliance with the Safety Rules and the handling of emergency situations. This talk will elaborate on the roles, responsibilities and organisational structure of the different stakeholders within the Organization with regards to Safety, and in particular to cryogenic safety. The roles of actors of particular importance such as the Cryogenic Safety Officers (CSOs) and the Cryogenic Safety experts in the HSE unit, as well as the Safety validation process for projects involving cryogenic equipment will be thoroughly explained. CERN 2016 HSE Seminar Event TALK CERN movingimages Arregui Rementeria, Carlos speaker CERN https://indico.cern.ch/event/495194/contributions/2223380/ Talk details https://indico.cern.ch/event/495194/ Event details MediaArchive /mnt/master_share/master_data/2016/495194c58 Absolute master path MediaArchive /2016/495194c58/495194c58_en.vtt subtitle subtitle English MediaArchive /2016/495194c58/495194c58_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2016/495194c58/thumbs/20160921100009.png pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2016/495194c58/495194c58_desktop_slides_1080p_4000.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 4000 MediaArchive https://lecturemedia.cern.ch/2016/495194c58/495194c58_desktop_slides_360p_800.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 800 MediaArchive https://lecturemedia.cern.ch/2016/495194c58/495194c58_desktop_slides_480p_1000.mp4 video/mp4 Content: presentation. Resolution: 853x480. Baudrate: 1000 MediaArchive https://lecturemedia.cern.ch/2016/495194c58/495194c58_desktop_slides_720p_2000.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 2000 MediaArchive https://lecturemedia.cern.ch/2016/495194c58/495194c58_desktop_camera_1080p_4000.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 4000 MediaArchive https://lecturemedia.cern.ch/2016/495194c58/495194c58_desktop_camera_360p_800.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 800 MediaArchive https://lecturemedia.cern.ch/2016/495194c58/495194c58_desktop_camera_480p_1000.mp4 video/mp4 Content: presenter. Resolution: 853x480. Baudrate: 1000 MediaArchive https://lecturemedia.cern.ch/2016/495194c58/495194c58_desktop_camera_720p_2000.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 2000 rachelle.decreuse@cern.ch 2016-02-08T10:11:15 2016-07-20T16:02:51 PUBLIC INDICO.495194c58 https://videos.cern.ch/legacy/record/2220125 Indico CMTE MIGRATED 2218121 SzGeCERN 20170819023112.0 DOI 10.1093/mnras/stw2406 oai:arXiv.org:1609.07287 http://export.arxiv.org/oai2 2016-09-26 2016-09-26T05:15:21Z arXiv true arXiv arXiv:1609.07287 eng Zhao, Dongyao Exploring the progenitors of brightest cluster galaxies at $z\sim 2$ 2016 23 Sep 2016 25 p Comments: 25 pages, 10 figures, accepted by MNRAS We present a new method for tracing the evolution of BCGs from $z\sim 2$ to $z\sim 0$. We conclude on the basis of semi-analytical models that the best method to select BCG progenitors at $z\sim 2$ is a hybrid environmental density and stellar mass ranking approach. Ultimately we are able to retrieve 45\% of BCG progenitors. We apply this method on the CANDELS UDS data to construct a progenitor sample at high redshift. We furthermore populate the comparisons in local universe by using SDSS data with statistically likely contamination to ensure a fair comparison between high and low redshifts. Using these samples we demonstrate that the BCG sizes have grown by a factor of $\sim 3.2$ since $z\sim 2$, and BCG progenitors are mainly late-type galaxies, exhibiting less concentrated profiles than their early-type local counterparts. We find that BCG progenitors have more disturbed morphologies. In contrast, local BCGs have much smoother profiles. Moreover, we find that the stellar masses of BCGs have grown by a factor of $\sim 2.5$ since $z\sim 2$, and the SFR of BCG progenitors has a median value of 13.5 $M_\odot$yr$^{-1}$, much higher than their quiescent local descendants. We demonstrate that over $z=1-2$ star formation and merging contribute equally to BCG mass growth. However, merging plays a dominant role in BCG assembly at $z \lesssim 1$. We also find that BCG progenitors at high-$z$ are not significantly different from other galaxies of similar mass at the same epoch. This suggests that the processes which differentiate BCGs from normal massive elliptical galaxies must occur at $z \lesssim 2$. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Conselice, Christopher J Aragón-Salamanca, Alfonso Almaini, Omar Hartley, William G Lani, Caterina Mortlock, Alice Old, Lyndsay http://arxiv.org/pdf/1609.07287.pdf Preprint n 201639 11 PREPRINT Hidden 2218045 20251201183048.0 oai:cds.cern.ch:2218045 cerncds:TALK eng CERN. Geneva Cryogenic Safety - HSE seminar CERN - 503-1-001 - Council Chamber 2016-09-21T09:00:00 2016-09-21T09:15:00 495194c1 Welcome Speech 2016 2016-09-21 505 Streaming video HSE Seminar Cryogenic Safety - HSE seminar 2016-09-21T09:00:00 <!--HTML-->Welcome Speech by Simon Baird, Head of HSE (Occupational Health & Safety and Environmental Protection) Unit of CERN CERN 2016 HSE Seminar Event TALK CERN movingimages Baird, Simon speaker CERN https://indico.cern.ch/event/495194/contributions/2141700/ Talk details https://indico.cern.ch/event/495194/ Event details MediaArchive /mnt/master_share/master_data/2016/495194c1 Absolute master path MediaArchive /2016/495194c1/495194c1_en.vtt subtitle subtitle English MediaArchive /2016/495194c1/495194c1_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2016/495194c1/thumbs/20160921083000.png pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2016/495194c1/495194c1_desktop_slides_1080p_4000.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 4000 MediaArchive https://lecturemedia.cern.ch/2016/495194c1/495194c1_desktop_slides_360p_800.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 800 MediaArchive https://lecturemedia.cern.ch/2016/495194c1/495194c1_desktop_slides_480p_1000.mp4 video/mp4 Content: presentation. Resolution: 853x480. Baudrate: 1000 MediaArchive https://lecturemedia.cern.ch/2016/495194c1/495194c1_desktop_slides_720p_2000.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 2000 MediaArchive https://lecturemedia.cern.ch/2016/495194c1/495194c1_desktop_camera_1080p_4000.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 4000 MediaArchive https://lecturemedia.cern.ch/2016/495194c1/495194c1_desktop_camera_360p_800.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 800 MediaArchive https://lecturemedia.cern.ch/2016/495194c1/495194c1_desktop_camera_480p_1000.mp4 video/mp4 Content: presenter. Resolution: 853x480. Baudrate: 1000 MediaArchive https://lecturemedia.cern.ch/2016/495194c1/495194c1_desktop_camera_720p_2000.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 2000 rachelle.decreuse@cern.ch 2016-02-08T10:11:15 2016-07-20T16:02:51 PUBLIC INDICO.495194c1 https://videos.cern.ch/legacy/record/2218045 Indico CMTE MIGRATED 2216911 SzGeCERN 20171103220917.0 oai:arXiv.org:1609.05510 http://export.arxiv.org/oai2 2016-09-20 2016-09-20T05:19:06Z arXiv true arXiv arXiv:1609.05510 eng Miller, David A B http://arxiv.org/pdf/1609.05510.pdf Preprint n 201638 Attojoule Optoelectronics for Low-Energy Information Processing and Communications: a Tutorial Review 18 Sep 2016 mult. p Optics offers unique opportunities for reducing energy in information processing and communications while resolving the problem of interconnect bandwidth density inside machines. Such energy dissipation overall is now at environmentally significant levels; the source of that dissipation is progressively shifting from logic operations to interconnect energies. Without the prospect of substantial reduction in energy per bit communicated, we cannot continue the exponential growth of our use of information. The physics of optics and optoelectronics fundamentally addresses both interconnect energy and bandwidth density, and optics may be the only scalable solution to such problems. Here we summarize the corresponding background, status, opportunities, and research directions for optoelectronic technology and novel optics, including sub-femtojoule devices in waveguide and novel 2D array optical systems. We compare different approaches to low-energy optoelectronic output devices and their scaling, including lasers, modulators and LEDs, optical confinement approaches (such as resonators) to enhance effects, and the benefits of different material choices, including 2D materials and other quantum-confined structures. Beyond the elimination of line charging by the use optical connections, the next major interconnect dissipations are in the electronic circuits for receiver amplifiers, timing recovery and multiplexing. We can address these through the integration of photodetectors to reduce or eliminate receiver circuit energies, free-space optics to eliminate the need for timing and multiplexing circuits (while solving bandwidth density problems), and using optics generally to save power by running large synchronous systems. One target concept is interconnects from ~ 1 cm to ~ 10 m that have the same energy (~ 10fJ/bit) and simplicity as local electrical wires on chip. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv physics.optics LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2216862 SzGeCERN 20171106203447.0 oai:arXiv.org:1609.05052 http://export.arxiv.org/oai2 2016-09-19 2016-09-20T05:19:06Z arXiv true arXiv arXiv:1609.05052 eng Melintescu, Anca Galeriu, Dan http://arxiv.org/pdf/1609.05052.pdf Preprint n 201638 Uncertainty of current understanding regarding OBT formation in plants 16 Sep 2016 44 p The radiological impact models are important tools for supporting nuclear safety. For tritium, a special radionuclide entering the life cycle, the processes involved in its transport into the environment are complex and not well enough understood. The tritiated water (HTO) enters the plants by atmospheric and root pathway and is converted to organically bound tritium (OBT) in exchangeable and non-exchangeable forms. The observed OBT/HTO ratios in crops exhibit a large variability and contradict the current models for routine releases. If a spike release (i.e. short time but intense atmospheric release higher than the normal release rate) occurs during routine emission, the dose to public is higher than for normal routine emission. The experimental data for a short and intense atmospheric contamination of wheat are presented together with the models predictions. Although the current understanding of processes involved in OBT formation in plants is still insufficient, considering the non-equilibrium situation in field conditions, some results are obtained. The OBT/HTO ratio depends on the dynamics of stack emission, receptor location and crop type. The models for public dose assessment can be used in a probabilistic way or deterministic way using more conservative parameters. The influence of a spike release is analysed, but the quantitative results are not possible due to models uncertainties. The experimental data on wheat demonstrate that the OBT formation is a long process, there are differences between night and day releases and the HTO dynamics in leaf and ear is a very important contributor to OBT formation. Comments: 44 pages, 10 figures, 8 tables, submitted to Journal of Environmental Radioactivity on July 27, 2016, in the phase of reviewing http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv q-bio.TO arXiv physics.bio-ph LANL EDS q-bio.TO LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2216855 SzGeCERN 20171103140539.0 oai:arXiv.org:1609.05012 http://export.arxiv.org/oai2 2016-09-19 2016-09-20T05:19:06Z arXiv true arXiv Inspire 1486914 arXiv:1609.05012 eng Laib, Mohamed Kanevski, Mikhail http://arxiv.org/pdf/1609.05012.pdf Preprint n 201638 Spatial Patterns of Wind Speed Distributions in Switzerland 16 Sep 2016 mult. p This paper presents an initial exploration of high frequency records of extreme wind speed in two steps. The first consists in finding the suitable extreme distribution for $120$ measuring stations in Switzerland, by comparing three known distributions: Weibull, Gamma, and Generalized extreme value. This comparison serves as a basis for the second step which applies a spatial modelling by using Extreme Learning Machine. The aim is to model distribution parameters by employing a high dimensional input space of topographical information. The knowledge of probability distribution gives a comprehensive information and a global overview of wind phenomena. Through this study, a flexible and a simple modelling approach is presented, which can be generalized to almost extreme environmental data for risk assessment and to model renewable energy. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv Other Fields of Physics arXiv physics.data-an LANL EDS physics.ao-ph LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2216593 SzGeCERN 20170819023056.0 DOI 10.1051/0004-6361/201629536 oai:arXiv.org:1609.04820 http://export.arxiv.org/oai2 2016-11-02 2016-11-03T06:15:14Z arXiv true arXiv arXiv:1609.04820 eng Mulcahy, D D The Discovery of a Low-Luminosity SPIRAL DRAGN 2016 15 Sep 2016 4 p Comments: 4 pages, Accepted for publication in Astronomy and Astrophysics Comments: 4 pages, Accepted for publication in Astronomy and Astrophysics arXiv Standard galaxy formation models predict that large-scale double-lobed radio sources, known as DRAGNs, will always be hosted by elliptical galaxies. In spite of this, in recent years a small number of spiral galaxies have also been found to host such sources. These so-called spiral DRAGNs are still extremely rare, with only $\sim 5$ cases being widely accepted. Here we report on the serendipitous discovery of a new spiral DRAGN in data from the Giant Metrewave Radio Telescope (GMRT) at 322 MHz. The host galaxy, MCG+07-47-10, is a face-on late-type Sbc galaxy with distinctive spiral arms and prominent bulge suggesting a high black hole mass. Using WISE infra-red and GALEX UV data we show that this galaxy has a star formation rate of 0.16-0.75 M$_{\odot}$yr$^{-1}$, and that the radio luminosity is dominated by star-formation. We demonstrate that this spiral DRAGN has similar environmental properties to others of this class, but has a comparatively low radio luminosity of $L_{\rm 1.4GHz}$ = 1.12$\times$10$^{22}$ W Hz$^{-1}$, two orders of magnitude smaller than other known spiral DRAGNs. We suggest that this may indicate the existence of a previously unknown low-luminosity population of spiral DRAGNS. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Mao, M Y Mitsuishi, I Scaife, A M M Clarke, A O Babazaki, Y Kobayashi, H Suganuma, R Matsumoto, H Tawara, Y Astron. Astrophys. 595 2016 L8 A&A 595, L8 (2016) http://arxiv.org/pdf/1609.04820.pdf Preprint n 201638 11 PREPRINT Hidden 2216185 20250120183158.0 oai:cds.cern.ch:2216185 cerncds:FULLTEXT CERN-STUDENTS-Note-2016-217 eng Demirbasci, Oguz AUTHOR|(CDS)2155765 AUTHOR|(SzGeCERN)797642 oguz.demirbasci@cern.ch Monitoring System for ALICE Surface Areas 2016 CERN Geneva 16 Sep 2016 I have been at CERN for 12 weeks within the scope of Summer Student Programme working on a monitoring system project for surface areas of the ALICE experiment during this period of time. The development and implementation of a monitoring system for environmental parameters in the accessible areas where a cheap hardware setup can be deployed were aim of this project. This report explains how it was developed by using Arduino, Raspberry PI, WinCC OA and DIM protocol. CERN EDS SzGeCERN Engineering ALICE CERN Monitoring System CERN Arduino CERN Raspberry CERN WinCC OA CERN DIM CERN Serial Communication CERN CERN INTNOTE PUBLEP ALICE EP CERN. Geneva. EP Department http://cds.cern.ch/record/2216185/files/Cern_Summer_Student_Project_Report.pdf Access to fulltext 1243191 4472607 oguz.demirbasci@cern.ch Ombretta Pinazza Peter Matthew Bond n 201637 12 PUBLIC https://repository.cern/legacy/record/2216185 INTNOTEEPPUBL NOTE MIGRATED 2215907 20251120204810.0 oai:cds.cern.ch:2215907 cerncds:FULLTEXT BUL-ON-2016-040 en fr HSE Unit SAFETY ALERT - Failure of brass non-return valves in gas point installations ALERTE SÉCURITÉ - Défaillance de clapets anti-retour en laiton dans les installations de points gaz 2016 15/09/2016 <!--HTML--> <p class="articleHeader">There have been three recent failures in brass non-return valves in separate high pressure gas point installations across CERN. Whilst each was in a different gas service, the visual nature of the failure has been similar.</p> <p>&nbsp;</p> <div class="phwidewithcaption"> <div class="imageScaleWide"><a href="https://cds.cern.ch/record/2215907/files/Non-Return-Valve_image.png?subformat=" target="_blank"><img src="https://cds.cern.ch/record/2215907/files/Non-Return-Valve_image.png?subformat=icon" style="width: 550px; height: 490px;" /></a></div> </div> <p><br /> In all three cases, these components were connected to stainless steel flexible connections and stainless steel pipework.</p> <p>From the metallurgical investigation of the failed component, it appears that <strong>the failure is linked to uncontrolled tightening</strong>, leading to a localised weakening resulting in premature failure when subjected to pressure.</p> <p>Lead levels in the examined components appear to be a contributing factor to the reduction in ductility but are not identified as the root cause. It has also not been possible to attribute failure to a particular batch of material.</p> <p><strong>The Occupational Health & Safety and Environmental Protection Unit prescribes the following actions to be taken, aligned with the CERN Safety Rules:</strong></p> <ul style="margin-left: 40px;"> <li>Verification of all brass non-return valves (prioritising on those used within stainless steel systems): <ul style="margin-left: 40px;"> <li>Visual examination of general installation condition and visual aspect, including markings;</li> <li>If there is any evidence of damage or deterioration, or a lack of traceability, then the non-return valve is to be appropriately disposed of and replaced with a new component;</li> <li>Where there is reasonable doubt on the condition or integrity of the component due to, for example, the age of the installation, then the non-return valve is to be appropriately disposed of and replaced with a new component;</li> <li>Replacement non-return valves in stainless steel systems are to be stainless steel, to minimise leak-tightness issues due to a mismatch in materials properties.<br /> &nbsp;</li> </ul> </li> <li>Verification of the state of high pressure flexible elements on gas point installations: <ul style="margin-left: 40px;"> <li>Visual examination of general condition;</li> <li>Assurance of the fixture of the anti-whip cables, since these are safety elements in case of failure;</li> <li>Visual examination of the condition of the sealing joints...<br /> <br /> ... with replacement as necessary if there is evidence of damage or deterioration.&nbsp;<br /> &nbsp;</li> </ul> </li> <li>When working on gas point installations, provision and use of personal protective equipment against splashing/spills, as well as the use of hearing protection in case of sudden pressure releases resulting in high proximity noise levels.<br /> &nbsp;</li> <li>All tightening activities on gas point installations are to use only correct and controlled torque values, using appropriate torque wrenches or equivalent. The use of &lsquo;flogging&rsquo; (e.g. using pipe extensions or hammering on spanners) is to be totally excluded.<br /> &nbsp;</li> <li>New gas point installations are to be designed, manufactured, procured, installed, accepted and commissioned and used in accordance with the <a href="https://espace.cern.ch/safety-rules-regulations/en/Pages/default.aspx" target="_blank">CERN Safety Rules</a> including <a href="https://edms.cern.ch/ui/file/1453955/LAST_RELEASED/SSI-M-2-4_EN.pdf" target="_blank">Specific Safety Instruction SSI-M-2-4 <em>Metallic Pressurised Piping</em></a>. The use of brass fittings (e.g. non-return valves) in stainless steel systems is to be avoided.<br /> &nbsp;</li> </ul> <!--HTML--> <p class="articleHeader">Il y a eu r&eacute;cemment trois d&eacute;faillances de clapets anti-retour en laiton, dans diff&eacute;rentes installations de points gaz haute pression du CERN. Chaque d&eacute;faillance s&rsquo;est produite dans une installation utilisant un gaz diff&eacute;rent, mais les trois d&eacute;faillances pr&eacute;sentent le m&ecirc;me aspect visuel.</p> <p>&nbsp;</p> <div class="phwidewithcaption"> <div class="imageScaleWide"><a href="https://cds.cern.ch/record/2215907/files/Non-Return-Valve_image.png?subformat=" target="_blank"><img src="https://cds.cern.ch/record/2215907/files/Non-Return-Valve_image.png?subformat=icon" style="width: 550px; height: 490px;" /></a></div> </div> <p><br /> Dans les trois cas, les pi&egrave;ces concern&eacute;es &eacute;taient connect&eacute;es &agrave; des raccords souples en acier inoxydable et &agrave; des tuyauteries en acier inoxydable.</p> <p>L&#39;examen m&eacute;tallurgique de la pi&egrave;ce endommag&eacute;e a conclu que <strong>la d&eacute;faillance est li&eacute;e &agrave; un serrage incontr&ocirc;l&eacute;</strong>, qui a caus&eacute; un affaiblissement localis&eacute;, lequel a entra&icirc;n&eacute; une d&eacute;faillance pr&eacute;matur&eacute;e lorsque la pi&egrave;ce a subi de la pression.</p> <p>Les niveaux de plomb dans les pi&egrave;ces examin&eacute;es semblent &ecirc;tre un facteur ayant contribu&eacute; &agrave; r&eacute;duire la ductilit&eacute;, mais ils n&rsquo;ont pas &eacute;t&eacute; identifi&eacute;s comme la cause premi&egrave;re. Il n&rsquo;a pas non plus &eacute;t&eacute; possible de lier la d&eacute;faillance &agrave; un lot particulier de mat&eacute;riel.</p> <p><strong>L&rsquo;unit&eacute; Sant&eacute; et s&eacute;curit&eacute; au travail et protection de l&rsquo;environnement prescrit les mesures suivantes, conform&eacute;ment aux r&egrave;gles de S&eacute;curit&eacute; du CERN&nbsp;:</strong></p> <ul style="margin-left: 40px;"> <li>V&eacute;rification de tous les clapets anti-retour (en priorit&eacute; ceux utilis&eacute;s dans des syst&egrave;mes en acier inoxydables)&nbsp;: <ul> <li style="margin-left: 40px;">inspection visuelle de l&rsquo;&eacute;tat g&eacute;n&eacute;ral de l&rsquo;installation et de son aspect visuel, y compris le marquage&nbsp;;</li> <li style="margin-left: 40px;">s&rsquo;il y a le moindre signe de dommage ou de d&eacute;t&eacute;rioration, ou un manque de tra&ccedil;abilit&eacute;, le clapet anti-retour doit alors &ecirc;tre &eacute;limin&eacute; de fa&ccedil;on appropri&eacute;e et remplac&eacute; par une pi&egrave;ce nouvelle&nbsp;;</li> <li style="margin-left: 40px;">en cas de doute raisonnable sur la condition ou l&rsquo;int&eacute;grit&eacute; de la pi&egrave;ce, en raison par exemple de l&rsquo;&acirc;ge de l&rsquo;installation, le clapet anti-retour doit alors &ecirc;tre &eacute;limin&eacute; de fa&ccedil;on appropri&eacute;e et remplac&eacute; par une pi&egrave;ce nouvelle&nbsp;;</li> <li style="margin-left: 40px;">dans les syst&egrave;mes en acier inoxydable, les clapets anti-retour de remplacement doivent &ecirc;tre en acier inoxydable afin de r&eacute;duire le plus possible les probl&egrave;mes d&#39;&eacute;tanch&eacute;it&eacute; dus &agrave; une inad&eacute;quation entre les propri&eacute;t&eacute;s des mat&eacute;riaux.<br /> &nbsp;</li> </ul> </li> <li>V&eacute;rification de l&rsquo;&eacute;tat des &eacute;l&eacute;ments souples sous haute pression dans les installations de points gaz&nbsp;: <ul style="margin-left: 40px;"> <li>inspection visuelle de l&rsquo;&eacute;tat g&eacute;n&eacute;ral&nbsp;;</li> <li>v&eacute;rification de la fixation des c&acirc;bles anti-fouet, ceux-ci &eacute;tant des &eacute;l&eacute;ments de s&eacute;curit&eacute; en cas de d&eacute;faillance&nbsp;;</li> <li>inspection visuelle de l&rsquo;&eacute;tat des joints d&#39;&eacute;tanch&eacute;it&eacute;...</li> </ul> </li> </ul> <p style="margin-left:36.0pt;"><br /> ... avec remplacement si n&eacute;cessaire, en cas de signe de dommage ou de d&eacute;t&eacute;rioration.&nbsp;</p> <ul style="margin-left: 40px;"> <li>Lors du travail sur les installations de points gaz, fourniture et utilisation d&rsquo;&eacute;quipements de protection individuelle contre les &eacute;claboussures ou d&eacute;versements et utilisation de protections auditives en cas de lib&eacute;ration soudaine de pression causant des niveaux de bruit &agrave; proximit&eacute; &eacute;lev&eacute;s.<br /> &nbsp;</li> <li>Toutes les activit&eacute;s de serrage sur les installations de points gaz doivent &ecirc;tre men&eacute;es uniquement avec des couples de serrage corrects et contr&ocirc;l&eacute;s et avec les cl&eacute;s dynamom&eacute;triques ou les outils &eacute;quivalents appropri&eacute;s. Le serrage avec un couple non ma&icirc;tris&eacute; (par exemple utilisation d&rsquo;extensions de tuyaux ou mart&egrave;lement de cl&eacute;s) doit &ecirc;tre totalement exclu.<br /> &nbsp;</li> <li>De nouvelles installations de points gaz seront con&ccedil;ues, fabriqu&eacute;es, achet&eacute;es, install&eacute;es, re&ccedil;ues et mises en service, et utilis&eacute;es conform&eacute;ment aux <a href="https://espace.cern.ch/safety-rules-regulations/fr/Pages/default.aspx" target="_blank">R&egrave;gles de s&eacute;curit&eacute; du CERN</a>, notamment &agrave; l&rsquo;<a href="https://edms.cern.ch/ui/file/1453955/LAST_RELEASED/SSI-M-2-4_FR.pdf" target="_blank">Instruction particuli&egrave;re de s&eacute;curit&eacute; SSI-M-2-4 <em>Tuyauteries m&eacute;talliques sous pression</em></a>. L&rsquo;usage de raccords (par ex. clapets anti-retour) en laiton dans les syst&egrave;mes en acier inoxydable doit &ecirc;tre &eacute;vit&eacute;.<br /> &nbsp;</li> </ul> NO featured ONLINE -1 38/2016 CERN Bulletin -1 39/2016 CERN Bulletin -1 40/2016 CERN Bulletin -1 41/2016 CERN Bulletin -1 42/2016 CERN Bulletin -1 43/2016 CERN Bulletin -1 44/2016 CERN Bulletin -1 45/2016 CERN Bulletin 1242999 1265326 http://cds.cern.ch/record/2215907/files/Non-Return-Valve_image.png 1242999 537729 http://cds.cern.ch/record/2215907/files/Non-Return-Valve_image.png?subformat=icon icon bulletin-editors@cern.ch student.journalist@cern.ch https://repository.cern/legacy/record/2215907 BULLETINOFFICIAL MIGRATED 2215834 SzGeCERN 20170908104838.0 oai:arXiv.org:1609.04103 http://export.arxiv.org/oai2 2016-09-15 2016-09-15T05:20:44Z arXiv true arXiv arXiv:1609.04103 eng Han, Lei Sun, Juanzhen Zhang, Wei Xiu, Yuanyuan Feng, Hailei Lin, Yinjing http://arxiv.org/pdf/1609.04103.pdf Preprint n 201637 A Machine Learning Nowcasting Method based on Real-time Reanalysis Data 13 Sep 2016 17 p Despite marked progress over the past several decades, convective storm nowcasting remains a challenge because most nowcasting systems are based on linear extrapolation of radar reflectivity without much consideration for other meteorological fields. The variational Doppler radar analysis system (VDRAS) is an advanced convective-scale analysis system capable of providing analysis of 3-D wind, temperature, and humidity by assimilating Doppler radar observations. Although potentially useful, it is still an open question as to how to use these fields to improve nowcasting. In this study, we present results from our first attempt at developing a Support Vector Machine (SVM) Box-based nOWcasting (SBOW) method under the machine learning framework using VDRAS analysis data. The key design points of SBOW are as follows: 1) The study domain is divided into many position-fixed small boxes and the nowcasting problem is transformed into one question, i.e., will a radar echo > 35 dBZ appear in a box in 30 minutes? 2) Box-based temporal and spatial features, which include time trends and surrounding environmental information, are elaborately constructed; and 3) The box-based constructed features are used to first train the SVM classifier, and then the trained classifier is used to make predictions. Compared with complicated and expensive expert systems, the above design of SBOW allows the system to be small, compact, straightforward, and easy to maintain and expand at low cost. The experimental results show that, although no complicated tracking algorithm is used, SBOW can predict the storm movement trend and storm growth with reasonable skill. Comments: 17 pages, 11 figures, submitted to Journal of Geophysical Research: Atmospheres http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv Other Fields of Physics arXiv Mathematical Physics and Mathematics arXiv physics.ao-ph LANL EDS physics.geo-ph LANL EDS stat.AP LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2215789 SzGeCERN 20171103220558.0 oai:arXiv.org:1609.03684 http://export.arxiv.org/oai2 2016-09-14 2016-09-15T05:20:44Z arXiv true arXiv arXiv:1609.03684 eng Bowen, Patrick Erkintalo, Miro Provo, Richard Harvey, John D Broderick, Neil G R http://arxiv.org/pdf/1609.03684.pdf Preprint n 201637 Mode-locked Yb-doped fiber laser emitting broadband pulses at ultra-low repetition rates 13 Sep 2016 5 p We report on an environmentally stable, Yb-doped, all-normal dispersion, mode-locked fibre laser that is capable of creating broadband pulses with ultra-low repetition rates. Specifically, through careful positioning of fibre sections in an all-PM-fibre cavity mode-locked with a nonlinear amplifying loop mirror, we achieve stable pulse trains with repetition rates as low as 506 kHz. The pulses have several nanojules of energy and are compressible down to ultrashort (< 500 fs) durations. Comments: 5 pages, 4 figures, optics letters submission http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv physics.optics LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2215607 SzGeCERN 20170820002138.0 oai:cds.cern.ch:2215607 cerncds:THESES oai:arXiv.org:1609.03900 http://export.arxiv.org/oai2 2016-09-14 2016-09-15T05:15:13Z arXiv true arXiv Inspire 1486363 arXiv:1609.03900 eng Van Borm, Caroline Matter of Life & Death: The impact of environmental conditions on the origins of stars and supermassive black holes 2016 268 p Comments: 268 pages, PhD thesis, University of Groningen & Georg-August Universit\"at G\"ottingen. For a higher quality version, see http://www.astro.rug.nl/~borm/cvanborm_phdthesis_web_hq.pdf (23MB) Comments: 268 pages, PhD thesis, University of Groningen & Georg-August Universit\"at G\"ottingen. For a higher quality version, see http://www.astro.rug.nl/~borm/cvanborm_phdthesis_web_hq.pdf (23MB) arXiv Thesis Observational evidence suggests that some very large supermassive black holes (SMBHs) already existed less than 1 Gyr after the Big Bang. Explaining the formation and growth of the 'seeds' of these SMBHs is quite challenging. We explore the formation of such seeds in the direct collapse scenario. Using 3D hydrodynamical simulations, we investigate the impact of turbulence and rotation on the fragmentation behavior of collapsing primordial gas in the presence of a strong UV radiation background, which keeps the gas hot. Additionally, we explore different ways in which the collapsing gas may be able to stay hot, and thus limit fragmentation. Using a one-zone model, we examine the interplay between magnetic fields, turbulence, and a UV radiation background. Feedback processes from stars and black holes shape the interstellar medium (ISM) out of which new generations of luminous objects form. To understand the properties of these objects, e.g. the stellar initial mass function, it is vital to have knowledge of the chemical and thermodynamical properties of the feedback-regulated ISM. To better understand the chemo-thermal state and fragmentation behavior of gas in high-redshift galaxies, we updated, improved, and extended a photodissociation region code. Our computational code, PDR-Zz, is described in detail. Using this code, a grid of models is run, covering a sizable range in physical properties. This allows us to systematically explore the overall impact of various feedback effects, both radiative and chemical, on the chemical and thermal balance of the gas in different physical regimes. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv Astrophysics and Astronomy arXiv THESIS astro-ph.GA LANL EDS astro-ph.CO LANL EDS http://arxiv.org/pdf/1609.03900.pdf Thesis n 201637 14 Thesis Hidden 2215605 SzGeCERN 20170819023049.0 oai:arXiv.org:1609.03896 http://export.arxiv.org/oai2 2016-09-14 2016-09-15T05:15:13Z arXiv true arXiv arXiv:1609.03896 eng Sorgho, Amidou HI Observations of Galaxies in the Southern Filament of the Virgo Cluster with the SKA Pathfinder KAT-7 and the WSRT 2016 13 Sep 2016 11 p Comments: 11 pages, 6 figures + appendix. Accepted for publication to MNRAS We map the Hi distribution of galaxies in a $\sim 1.5^\circ \times 2.5^\circ$ region located at the virial radius south of the Virgo cluster using the KAT$-$7 and the WSRT interferometers. Because of the different beam sizes of the two telescopes, a similar column density sensitivity of $\rm N_{Hi} \sim 10^{18}\,cm^{-2}$ was reached with the two observations over 16.5 km/s. We pioneer a new approach to combine the observations and take advantage of their sensitivity to both the large and small scale structures. Out to an unprecedented extent, we detect an Hi tail of $\sim 60$ kpc being stripped off NGC 4424, a peculiar spiral galaxy. The properties of the galaxy, together with the shape of the tail, suggest that NGC 4424 is a post-merger galaxy undergoing a ram pressure stripping as it falls towards the centre of the Virgo Cluster. We detect a total of 14 galaxies and 3 Hi clouds lacking optical counterparts. One of the clouds is a new detection with an Hi mass of $\rm 7\times10^7\, M_\odot$ and a strong Hi profile with $W_{50} = 73$ km/s. We find that 10 out of the 14 galaxies present Hi deficiencies not higher than those of the cluster's late spirals, suggesting that the environmental effects are not more pronounced in the region than elsewhere in the cluster. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Hess, Kelley M Carignan, Claude Oosterloo, Tom A http://arxiv.org/pdf/1609.03896.pdf Preprint n 201637 11 PREPRINT Hidden 2215578 SzGeCERN 20170819023048.0 oai:arXiv.org:1609.03656 http://export.arxiv.org/oai2 2016-09-14 2016-09-15T05:15:13Z arXiv true arXiv Inspire 1486348 arXiv:1609.03656 eng Vigeland, Sarah J Supermassive Black Hole Binary Environments: Effects on the Scaling Laws and Time to Detection for the Stochastic Background 2016 12 Sep 2016 15 p Comments: 15 pages, 7 figures. Submitted to Phys. Rev. D One of the primary gravitational wave (GW) sources for pulsar timing arrays (PTAs) is the stochastic background formed by supermassive black holes binaries (SMBHBs). In this paper, we investigate how the environments of SMBHBs will effect the sensitivity of PTAs by deriving scaling laws for the signal-to-noise ratio (SNR) of the optimal cross-correlation statistic. The presence of gas and stars around SMBHBs will accelerate the merger at large distances, depleting the GW stochastic background at low frequencies. We show that environmental interactions may delay detection by a few years or more, depending on the PTA configuration and the frequency at which the dynamical evolution transitions from being dominated by environmental effects to GW-dominated. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv General Relativity and Cosmology arXiv Astrophysics and Astronomy arXiv PREPRINT astro-ph.IM LANL EDS astro-ph.GA LANL EDS gr-qc LANL EDS Siemens, Xavier http://arxiv.org/pdf/1609.03656.pdf Preprint n 201637 11 PREPRINT Hidden 2215174 SzGeCERN 20170819023046.0 oai:arXiv.org:1609.03388 http://export.arxiv.org/oai2 2016-09-13 2016-09-13T06:31:20Z arXiv true arXiv Inspire 1486214 arXiv:1609.03388 eng Tinker, Jeremy Halo Histories vs. Galaxy Properties at z=0, I: The Quenching of Star Formation 2016 12 Sep 2016 13 p Comments: 13 pages, 12 figures, submitted to MNRAS We test whether halo age and galaxy age are correlated at fixed halo and galaxy mass. The formation histories, and thus ages, of dark matter halos correlate with their large-scale density $\rho$, an effect known as assembly bias. We test whether this correlation extends to galaxies by measuring the dependence of galaxy stellar age on $\rho$. To clarify the comparison between theory and observation, and to remove the strong environmental effects on satellites, we use galaxy group catalogs to identify central galaxies and measure their quenched fraction, $f_Q$, as a function of large-scale environment. Models that match halo age to central galaxy age predict a strong positive correlation between $f_Q$ and $\rho$. However, we show that the amplitude of this effect depends on the definition of halo age: assembly bias is significantly reduced when removing the effects of splashback halos---those halos that are central but have passed through a larger halo or experienced strong tidal encounters. Defining age using halo mass at its peak value rather than current mass removes these effects. In SDSS data, at M$_{\rm gal}\gtrsim 10^{10.0}$ M_sol/h$^2$, there is a $\sim 5\%$ increase in $f_Q$ from low to high densities, which is in agreement with predictions of dark matter halos using peak halo mass. At lower stellar mass there is little to no correlation of $f_Q$ with $\rho$. For these galaxies, age-matching is inconsistent with the data across the wide range the halo formation metrics that we tested. This implies that halo formation history has a small but statistically significant impact on quenching of star formation at high masses, while the quenching process in low-mass central galaxies is uncorrelated with halo formation history. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS astro-ph.CO LANL EDS Wetzel, Andrew Conroy, Charlie Mao, Yao-Yuan http://arxiv.org/pdf/1609.03388.pdf Preprint n 201637 11 PREPRINT Hidden 2215140 SzGeCERN 20171106062525.0 oai:arXiv.org:1609.03094 http://export.arxiv.org/oai2 2016-09-13 2016-09-13T06:31:20Z arXiv true arXiv arXiv:1609.03094 eng Ancona, Elena Kezerashvili, Roman Ya Guadalajara 2016 Proceedings of 67th International Astronautical Congress (IAC 2016), Guadalajara, Mexico, 26-30 September 2016. Paper IAC-16-C2.6.6.32493 http://arxiv.org/pdf/1609.03094.pdf Preprint n 201637 Temperature restrictions for materials used in aerospace industry for the near-sun orbits 10 Sep 2016 6 p For near-Sun missions, the spacecraft approaches very close to the Sun and space environmental effects become relevant. Strong restrictions on how much close it can get derive from the maximum temperature that the used materials can stand, in order not to compromise the spacecraft's activity and functionalities. In other words, the minimum perihelion distance of a given mission can be determined based on the materials' temperature restrictions. The temperature of an object in space depends on its optical properties: reflectivity, absorptivity, transmissivity, and emissivity. Usually, it is considered as an approximation that the optical properties of materials are constant. However, emissivity depends on temperature. The consideration of the temperature dependence of emissivity and conductivity of materials used in the aerospace industry leads to the conclusion that the temperature dependence on the heliocentric distance is different from the case of constant optical properties [1]. Particularly, taking into account that emissivity is directly proportional to the temperature, the temperature of an object increases as $r{}^{-2/5}$ when the heliocentric distance $r$ decreases. This means that the same temperature will actually be reached at a different distance and, eventually, the spacecraft will be allowed to approach closer to the Sun without compromising its activities. We focused on metals used for aerospace structures (Al, Ti), however our analysis can be extended to all kinds of composite materials, once their optical properties - in particular emissivity - are defined. Comments: 6 pages, 4 figures http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Title has not been found in the knowledge base. Please add "GUADALAJARA" Other Fields of Physics arXiv Astrophysics and Astronomy arXiv physics.space-ph LANL EDS astro-ph.IM LANL EDS 2016 ARTICLE 13 ARTICLE Hidden 2214720 SzGeCERN 20170819023042.0 DOI 10.1093/mnras/stw2289 oai:arXiv.org:1609.02635 http://export.arxiv.org/oai2 2016-09-21 2016-09-22T05:15:30Z arXiv true arXiv arXiv:1609.02635 eng Schaefer, A L The SAMI Galaxy Survey: Spatially resolving the environmental quenching of star formation in GAMA galaxies 2016 08 Sep 2016 24 p Comments: 24 pages, 16 figures, accepted for publication in MNRAS Comments: 24 pages, 16 figures, accepted for publication in MNRAS arXiv We use data from the Sydney-AAO Multi-Object Integral Field Spectrograph (SAMI) Galaxy Survey and the Galaxy And Mass Assembly (GAMA) survey to investigate the spatially-resolved signatures of the environmental quenching of star formation in galaxies. Using dust-corrected measurements of the distribution of H$\alpha$ emission we measure the radial profiles of star formation in a sample of 201 star-forming galaxies covering three orders of magnitude in stellar mass (M$_{*}$; $10^{8.1}$-$10^{10.95}\, $M$_{\odot}$) and in $5^{th}$ nearest neighbour local environment density ($\Sigma_{5}$; $10^{-1.3}$-$10^{2.1}\,$Mpc$^{-2}$). We show that star formation rate gradients in galaxies are steeper in dense ($\log_{10}(\Sigma_{5}/$Mpc$^{2})>0.5$) environments by $0.58\pm 0.29\, dex\, $r$_{e}^{-1}$ in galaxies with stellar masses in the range $10^{10}<$M$_{*}/$M$_{\odot}<10^{11}$ and that this steepening is accompanied by a reduction in the integrated star formation rate. However, for any given stellar mass or environment density the star-formation morphology of galaxies shows large scatter. We also measure the degree to which the star formation is centrally concentrated using the unitless scale-radius ratio ($r_{50,H\alpha}/r_{50,cont}$), which compares the extent of ongoing star formation to previous star formation. With this metric we find that the fraction of galaxies with centrally concentrated star formation increases with environment density, from $\sim 5\pm 4\%$ in low-density environments ($\log_{10}(\Sigma_{5}/$Mpc$^{2})<0.0$) to $30\pm 15\%$ in the highest density environments ($\log_{10}(\Sigma_{5}/$Mpc$^{2})>1.0$). These lines of evidence strongly suggest that with increasing local environment density the star formation in galaxies is suppressed, and that this starts in their outskirts such that quenching occurs in an outside-in fashion in dense environments and is not instantaneous. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Croom, S M Allen, J T Brough, S Medling, A M Ho, I -T Scott, N Richards, S N Pracy, M B Gunawardhana, M L P Norberg, P Alpaslan, M Bauer, A E Bekki, K Bland-Hawthorn, J Bloom, J V Bryant, J J Couch, W J Driver, S P Fogarty, L M R Foster, C Goldstein, G Green, A W Hopkins, A M Konstantopoulos, I S Lawrence, J S López-Sánchez, A R Lorente, N P F Owers, M S Sharp, R Sweet, S M Taylor, E N van de Sande, J Walcher, C J Wong, O I http://arxiv.org/pdf/1609.02635.pdf Preprint n 201637 11 PREPRINT Hidden 2214481 SzGeCERN 20171103220535.0 oai:arXiv.org:1609.02299 http://export.arxiv.org/oai2 2016-09-12 2016-09-12T05:18:25Z arXiv true arXiv arXiv:1609.02299 eng Liu, Yu-Long Wu, Rebing Zhang, Jing Özdemir, Şahin Kaya Yang, Lan Nori, Franco Liu, Yu-xi http://arxiv.org/pdf/1609.02299.pdf Preprint n 201636 Controllable optical response by modifying the gain and loss of a mechanical resonator and cavity mode in an optomechanical system 08 Sep 2016 mult. p arXiv We theoretically study a strongly-driven optomechanical system which consists of a passive optical cavity and an active mechanical resonator. When the optomechanical coupling strength is varied, phase transitions, which are similar those observed in $\mathcal{PT}$-symmetric systems, are observed. We show that the optical transmission can be controlled by changing the gain of the mechanical resonator and loss of the optical cavity mode. Especially, we find that: (i) for balanced gain and loss, optical amplification and absorption can be tuned by changing the optomechanical coupling strength through a control field; (ii) for unbalanced gain and loss, even with a tiny mechanical gain, both optomechanically-induced transparency and anomalous dispersion can be observed around a critical point, which exhibits an ultra-long group delay. The time delay $\tau$ can be optimized by regulating the optomechanical coupling strength through the control field and improved up to several orders of magnitude ($\tau\sim2$ $\mathrm{ms}$) compared to that of conventional optomechanical systems ($\tau\sim1$ $\mu\mathrm{s}$). The presence of mechanical gain makes the group delay more robust to environmental perturbations. Our proposal provides a powerful platform to control light transport using a $\mathcal{PT}$-symmetric-like optomechanical system. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv General Theoretical Physics arXiv physics.optics LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2214445 SzGeCERN 20171106203411.0 oai:arXiv.org:1609.01981 http://export.arxiv.org/oai2 2016-09-08 2016-09-09T05:27:04Z arXiv true arXiv arXiv:1609.01981 eng Koren, Ilan Tziperman, Eli Feingold, Graham http://arxiv.org/pdf/1609.01981.pdf Preprint n 201636 Exploring the Nonlinear Cloud and Rain Equation 24 Aug 2016 16 p Marine stratocumulus cloud decks are regarded as the reflectors of the climate system, returning back to space a significant part of the income solar radiation, thus cooling the atmosphere. Such clouds can exist in two stable modes, open and closed cells, for a wide range of environmental conditions. This emergent behavior of the system, and its sensitivity to aerosol and environmental properties, is captured by a set of nonlinear equations. Here, using linear stability analysis, we express the transition from steady to a limit-cycle state analytically, showing how it depends on the model parameters. We show that the control of the droplet concentration (N) the environmental carrying-capacity (H0) and the cloud recovery parameter (tau) can be linked by a single nondimensional parameter mu=N/(alfa*tau*H0), suggesting that for deeper clouds the transition from open (oscillating) to closed (stable fixed point) cells will occur for higher droplet concentration (i.e. higher aerosol loading). The analytical calculations of the possible states, and how they are affected by changes in aerosol and the environmental variables, provide an enhanced understanding of the complex interactions of clouds and rain. Comments: 16 pages, 4 figures, V1-draft http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv physics.ao-ph LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2214255 SzGeCERN 20170819023029.0 DOI 10.1007/978-3-319-19330-4_17 oai:arXiv.org:1609.02178 http://export.arxiv.org/oai2 2016-09-09 2016-09-09T05:15:24Z arXiv true arXiv arXiv:1609.02178 eng Malavasi, Nicola The environment of radio sources in the VLA-COSMOS Survey field 2016 07 Sep 2016 4 p Comments: 4 pages, 2 figures. Contribution to the proceedings of the conference "The Universe of Digital Sky Surveys", Napoli, November 25th-28th, 2014 This work studies the correlation among environmental density and radio AGN presence up to $z = 2$. Using data from the photometric COSMOS survey and its radio 1.4 GHz follow-up (VLA-COSMOS), a sample of radio AGNs has been defined. The environment was studied using the richness distributions inside a parallelepiped with base side of 1 Mpc and height proportional to the photometric redshift precision. Radio AGNs are found to be always located in environments significantly richer than those around galaxies with no radio emission. Moreover, a distinction based on radio AGN power shows that the significance of the environmental effect is only maintained for low-power radio sources. The results of this work show that denser environments play a significant role in enhancing the probability that a galaxy hosts a radio AGN and, in particular, low-power ones. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Bardelli, Sandro Ciliegi, Paolo Ilbert, Olivier Pozzetti, Lucia Zucca, Elena http://arxiv.org/pdf/1609.02178.pdf Preprint n 201636 11 Comments: 4 pages, 2 figures. Contribution to the proceedings of the conference "The Universe of Digital Sky Surveys", Napoli, November 25th-28th, 2014 PREPRINT Hidden 2214246 SzGeCERN 20170819023029.0 oai:arXiv.org:1609.02145 http://export.arxiv.org/oai2 2016-09-09 2016-09-09T05:15:24Z arXiv true arXiv arXiv:1609.02145 eng Nyland, Kristina Star Formation in Nearby Early-Type Galaxies: The Radio Continuum Perspective 2016 07 Sep 2016 Comments: accepted for publication in MNRAS We present a 1.4 GHz Karl G. Jansky Very Large Array (VLA) study of a sample of early-type galaxies (ETGs) from the volume- and magnitude-limited ATLAS-3D survey. The radio morphologies of these ETGs at a resolution of 5" are diverse and include sources that are compact on sub-kpc scales, resolved structures similar to those seen in star-forming spiral galaxies, and kpc-scale radio jets/lobes associated with active nuclei. We compare the 1.4 GHz, molecular gas, and infrared (IR) properties of these ETGs. The most CO-rich ATLAS-3D ETGs have radio luminosities consistent with extrapolations from H_2-mass-derived star formation rates from studies of late-type galaxies. These ETGs also follow the radio-IR correlation. However, ETGs with lower molecular gas masses tend to have less radio emission relative to their CO and IR emission compared to spirals. The fraction of galaxies in our sample with high IR-radio ratios is much higher than in previous studies, and cannot be explained by a systematic underestimation of the radio luminosity due to the presence extended, low-surface-brightness emission that was resolved-out in our VLA observations. In addition, we find that the high IR-radio ratios tend to occur at low IR luminosities, but are not associated with low dynamical mass or metallicity. Thus, we have identified a population of ETGs that have a genuine shortfall of radio emission relative to both their IR and molecular gas emission. A number of mechanisms may conspire to cause this radio deficiency, including a bottom-heavy stellar initial mass function, weak magnetic fields, a higher prevalence of environmental effects compared to spirals and enhanced cosmic ray losses. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Young, Lisa M Wrobel, Joan M Davis, Timothy A Bureau, Martin Alatalo, Katherine Morganti, Raffaella Duc, Pierre-Alain de Zeeuw, P T McDermid, Richard M Crocker, Alison F Oosterloo, Tom http://arxiv.org/pdf/1609.02145.pdf Preprint n 201636 11 PREPRINT Hidden 2214198 SzGeCERN 20170920215530.0 DOI 10.1088/1475-7516/2016/11/026 oai:arXiv.org:1609.01738 http://export.arxiv.org/oai2 2016-11-23 2016-12-02T09:19:49Z arXiv true arXiv Inspire 1485525 arXiv:1609.01738 eng Markkanen, Tommi Decoherence Can Relax Cosmic Acceleration 2016 06 Sep 2016 21 p Comments: 21 pages Comments: 20 pages. v2: minor rewordings, updated references. v3: expanded discussion, added references, accepted by JCAP arXiv In this work we investigate the semi-classical backreaction for a quantised conformal scalar field and classical vacuum energy. In contrast to the usual approximation of a closed system, our analysis includes an environmental sector such that a quantum-to-classical transition can take place. We show that when the environment decoheres the system into a mixed state with particle number as the classical observable de Sitter space is destabilized, which is observable as a gradually decreasing Hubble rate. In particular we show that at late times this mechanism can drive the curvature of the Universe to zero and has an interpretation as the decay of the vacuum energy demonstrating that quantum effects can be relevant for the fate of the Universe. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Particle Physics - Theory arXiv General Relativity and Cosmology arXiv Astrophysics and Astronomy arXiv PREPRINT hep-th LANL EDS astro-ph.CO LANL EDS gr-qc LANL EDS http://arxiv.org/pdf/1609.01738.pdf Preprint n 201636 11 PREPRINT Hidden 2214197 SzGeCERN 20170819023026.0 oai:arXiv.org:1609.01737 http://export.arxiv.org/oai2 2016-09-08 2016-09-09T05:15:24Z arXiv true arXiv arXiv:1609.01737 eng Belfiore, Francesco SDSS IV MaNGA - The spatially resolved transition from star formation to quiescence 2016 06 Sep 2016 Comments: resubmitted to MNRAS after addressing the referee's comments Using spatially resolved spectroscopy from SDSS-IV MaNGA we have demonstrated that low ionisation emission line regions (LIERs) in local galaxies result from photoionisation by hot evolved stars, not active galactic nuclei. LIERs are ubiquitous in both quiescent galaxies and in the central regions of galaxies where star formation takes place at larger radii. We refer to these two classes of galaxies as extended LIER (eLIER) and central LIER (cLIER) galaxies respectively. cLIERs are late type galaxies located around the green valley, in the transition region between the star formation main sequence and quiescent galaxies. These galaxies display regular disc rotation in both stars and gas, although featuring a higher central stellar velocity dispersion than star forming galaxies of the same mass. cLIERs are consistent with being slowly quenched inside-out; the transformation is associated with massive bulges, pointing towards the importance of bulge growth via secular evolution. eLIERs are morphologically early types and are indistinguishable from passive galaxies devoid of line emission in terms of their stellar populations, morphology and central stellar velocity dispersion. Ionised gas in eLIERs shows both disturbed and disc-like kinematics. When a large-scale flow/rotation is observed in the gas, it is often misaligned relative to the stellar component. These features indicate that eLIERs are passive galaxies harbouring a residual cold gas component, acquired mostly via external accretion. Importantly, quiescent galaxies devoid of line emission reside in denser environments and have significantly higher satellite fraction than eLIERs. Environmental effects thus represent the likely cause for the existence of line-less galaxies on the red sequence. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Maiolino, Roberto Maraston, Claudia Emsellem, Eric Bershady, Matthew A Masters, Karen L Bizyaev, Dmitry Boquien, Médéric Brownstein, Joel R Bundy, Kevin Diamond-Stanic, Aleksandar M Drory, Niv Heckman, Timothy M Law, David R Malanushenko, Olena Oravetz, Audrey Pan, Kaike Roman-Lopes, Alexandre Thomas, Daniel Weijmans, Anne-Marie Westfall, Kyle B Yan, Renbin http://arxiv.org/pdf/1609.01737.pdf Preprint n 201636 11 PREPRINT Hidden 2213716 SzGeCERN 20170819023023.0 DOI 10.1093/mnras/stw1913 oai:arXiv.org:1609.01299 http://export.arxiv.org/oai2 2016-09-21 2016-09-22T05:15:30Z arXiv true arXiv arXiv:1609.01299 eng Penny, Samantha J SDSS-IV MaNGA: Faint quenched galaxies I- Sample selection and evidence for environmental quenching 2016 05 Sep 2016 17 p Comments: 17 pages, 9 figures, accepted for publication in MNRAS Comments: 17 pages, 9 figures, accepted for publication in MNRAS arXiv Using kinematic maps from the Sloan Digital Sky Survey (SDSS) Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey, we reveal that the majority of low-mass quenched galaxies exhibit coherent rotation in their stellar kinematics. Our sample includes all 39 quenched low-mass galaxies observed in the first year of MaNGA. The galaxies are selected with $M_{r} > -19.1$, stellar masses $10^{9}$ M$_{\odot} < M_{\star} < 5\times10^{9}$ M$_{\odot}$, EW$_{H\alpha} <2$ \AA, and all have red colours $(u-r)>1.9$. They lie on the size-magnitude and $\sigma$-luminosity relations for previously studied dwarf galaxies. Just six ($15\pm5.7$ per cent) are found to have rotation speeds $v_{e,rot} < 15$ km s$^{-1}$ at $\sim1$ $R_{e}$, and may be dominated by pressure support at all radii. Two galaxies in our sample have kinematically distinct cores in their stellar component, likely the result of accretion. Six contain ionised gas despite not hosting ongoing star formation, and this gas is typically kinematically misaligned from their stellar component. This is the first large-scale Integral Field Unit (IFU) study of low mass galaxies selected without bias against low-density environments. Nevertheless, we find the majority of these galaxies are within $\sim1.5$ Mpc of a bright neighbour ($M_{K} < -23$; or M$_{\star} > 5\times10^{10}$ M$_{\odot}$), supporting the hypothesis that galaxy-galaxy or galaxy-group interactions quench star formation in low-mass galaxies. The local bright galaxy density for our sample is $\rho_{proj} = 8.2\pm2.0$ Mpc$^{-2}$, compared to $\rho_{proj} = 2.1\pm0.4$ Mpc$^{-2}$ for a star forming comparison sample, confirming that the quenched low mass galaxies are preferentially found in higher density environments. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Masters, Karen L Weijmans, Anne-Marie Westfall, Kyle B Bershady, Matthew A Bundy, Kevin Drory, Niv Falcón-Barroso, Jesús Law, David Nichol, Robert C Thomas, Daniel Bizyaev, Dmitry Brownstein, Joel R Freischlad, Gordon Gaulme, Patrick Grabowski, Katie Kinemuchi, Karen Malanushenko, Elena Malanushenko, Viktor Oravetz, Daniel Roman-Lopes, Alexandre Pan, Kaike Simmons, Audrey Wake, David A http://arxiv.org/pdf/1609.01299.pdf Preprint n 201636 11 PREPRINT Hidden 2213639 SzGeCERN 20170819023019.0 DOI 10.1016/j.spacepol.2016.08.004 oai:arXiv.org:1609.00737 http://export.arxiv.org/oai2 2016-11-24 2016-12-02T09:19:49Z arXiv true arXiv arXiv:1609.00737 eng Metzger, Philip Space Development and Space Science Together, an Historic Opportunity 2016 02 Sep 2016 38 p Comments: 38 pages. Accepted for publication in Space Policy journal Comments: 38 pages. Accepted for publication in Space Policy journal arXiv The national space programs have an historic opportunity to help solve the global-scale economic and environmental problems of Earth while becoming more effective at science through the use of space resources. Space programs will be more cost-effective when they work to establish a supply chain in space, mining and manufacturing then replicating the assets of the supply chain itself so it grows to larger capacity. This has become achievable because of advances in robotics and artificial intelligence. It is roughly estimated that developing a lunar outpost that relies upon and also develops the supply chain will cost about 1/3 or less of the existing annual budgets of the national space programs. It will require a sustained commitment of several decades to complete, during which time science and exploration become increasingly effective. At the end, this space industry will capable of addressing global-scale challenges including limited resources, clean energy, economic development, and preservation of the environment. Other potential solutions, including nuclear fusion and terrestrial renewable energy sources, do not address the root problem of our limited globe and there are real questions that they may be inadequate or too late. While industry in space likewise cannot provide perfect assurance, it is uniquely able to solve the root problem, and it gives us an important chance that we should grasp. What makes this such an historic opportunity is that the space-based solution is obtainable for free, because it comes as a side-benefit of doing space science and exploration within their existing budgets. Thinking pragmatically, it may take some time for policymakers to agree that setting up a complete supply chain is an achievable goal, so this paper describes a strategy of incremental progress. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv Astrophysics and Astronomy arXiv Other Fields of Physics arXiv PREPRINT astro-ph.IM LANL EDS astro-ph.EP LANL EDS physics.pop-ph LANL EDS physics.soc-ph LANL EDS Space Policy 37.2, 77-91 (2016) http://arxiv.org/pdf/1609.00737.pdf Preprint n 201636 11 PREPRINT Hidden 2213349 SzGeCERN 20210421213150.0 9783319400563 print version 9783319400570 electronic version electronic version DOI 10.1007/978-3-319-40057-0 ebook oai:cds.cern.ch:2213349 cerncds:BOOK eng QA276-280 519.5 23 Quirk, Thomas J Excel 2016 for environmental sciences statistics a guide to solving practical problems Cham Springer 2016 ebook Excel for statistics Introduction -- Sample size, mean, standard deviation, standard error of the mean -- Random number generator -- Confidence interval about the mean using the TINV function and hypothesis testing -- One-group t-test for the mean -- Two-group t-test of the difference of the means for independent groups -- Correlation and simple linear regression -- Multiple correlation and multiple regression -- One-way analysis of variance (ANOVA) -- Appendix A -- Appendix B -- Appendix C -- Appendix D -- Appendix E -- Index. This book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel is an effective learning tool for quantitative analyses in environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Environmental Science Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel 2016 to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand environmental science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. Includes 165 illustrations in color Suitable for undergraduates or graduate students Prof. Tom Quirk spent six years in educational research at The American Institutes for Research and Educational Testing Service. He is Professor of Marketing in the Walker School of Business & Technology at Webster University in St. Louis, Missouri (USA). He holds a B.S. in Mathematics from John Carroll University, both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, and an MBA from The University of Missouri-St. Louis. Dr. Meghan Quirk holds a Ph.D. in Biological Education and an M.A. in Biological Sciences from the University of Northern Colorado (UNC) and a B.A. in Biology and Religion at Principia College in Elsah, Illinois. She has co-authored an article on shortgrass steppe ecosystems in Photochemistry & Photobiology. She was a National Science Foundation Fellow GK-12, and currently teaches science in Bailey, Colorado. Howard F. Horton holds an MS in Biological Sciences from the University of Northern Colorado (UNC) and a BS in Biological Sciences from Mesa State College. He has worked on research projects in Pawnee National Grasslands and Long-Term Ecological Research at Toolik Lake, Alaska. He has co-authored articles in The International Journal of Speleology and The Journal of Cave and Karst Studies. He was a National Science Foundation Fellow GK-12. He is currently the Angler Outreach Coordinator with Colorado Parks and Wildlife. Mathematics and statistics SPR201609 SzGeCERN Mathematical Physics and Mathematics SPR Environmental sciences SPR Environmental Science and Engineering SPR Math Appl in Environmental Science BOOK Quirk, Meghan H Horton, Howard F SPR n 201635 201609 21 PUBLIC https://catalogue.library.cern/legacy/2213349 BOOK MIGRATED 2213086 SzGeCERN 20210421213230.0 9783319267982 print version 9783319268002 electronic version electronic version DOI 10.1007/978-3-319-26800-2 ebook oai:cds.cern.ch:2213086 cerncds:BOOK eng TD1-1066 363.728 23 628.4 23 Natural resources and control processes Cham Springer 2016 ebook Handbook of environmental engineering 17 Management of Livestock Wastes for Water -- Resources Protection -- Application of Natural Processes for Environmental Protection -- Proper Deep-Well Waste Disposal for Water Resources Protection -- Treatment and Management of Industrial Dye Wastewater for Water Resources Protection -- Health Effects and Control of Toxic Lead in the Environment -- Municipal and Industrial Wastewater Treatment Using Plastic Trickling Filters for BOD And Nutrient Removal -- Chloride Removal for Recycling Fly Ash from Municipal Solid Waste Incinerator -- Recent Evaluation of Early Radioactive Disposal and Management Practice -- Recent Trends in the Evaluation of Cementitious Material in Radioactive Waste Disposal -- Extensive Monitoring System of Sediment Transport for Reservoir Sediment Management -- Glossary of Land and Energy Resources Engineering. This edited book has been designed to serve as a natural resources engineering reference book as well as a supplemental textbook. This volume is part of the Handbook of Environmental Engineering series, an incredible collection of methodologies that study the effects of pollution and waste in their three basic forms: gas, solid, and liquid. It complements two other books in the series including Environmental and Natural Resources Engineering and Integrated Natural Resources Management that serve as a basis for advanced study or specialized investigation of the theory and analysis of various natural resources systems. This book covers the management of many waste sources including those from agricultural livestock, deep-wells, industries manufacturing dyes, and municipal solid waste incinerators. The purpose of this book is to thoroughly prepare the reader for understanding the sources, treatment and control methods of toxic wastes shown to have harmful effects on the environment. Chapters provide information on some of the most innovative and ground-breaking advances in waste characterization, control, treatment and management from a panel of esteemed experts. Engineering SPR201609 SzGeCERN Engineering SPR Environment SPR Water-supply SPR Environmental sciences SPR Environmental chemistry SPR Waste management SPR Environmental engineering SPR Biotechnology SPR Water pollution SPR Waste ManagementWaste Technology SPR Environmental EngineeringBiotechnology SPR Water IndustryWater Technologies SPR Environmental Science and Engineering SPR Waste Water Technology Water Pollution Control Water Management Aquatic Pollution SPR Environmental Chemistry BOOK Wang, Lawrence ed. Wang, Mu-Hao ed. Hung, Yung-Tse ed. Shammas, Nazih ed. SPR n 201635 201609 21 PUBLIC https://catalogue.library.cern/legacy/2213086 BOOK MIGRATED 2212952 SzGeCERN 20170819023015.0 DOI 10.1093/mnras/stw2330 oai:arXiv.org:1609.00391 http://export.arxiv.org/oai2 2016-09-21 2016-09-22T05:15:30Z arXiv true arXiv Inspire 1486624 arXiv:1609.00391 eng Veale, Melanie The MASSIVE Survey - V. Spatially-Resolved Stellar Angular Momentum, Velocity Dispersion, and Higher Moments of the 41 Most Massive Local Early-Type Galaxies 2016 01 Sep 2016 32 p Comments: 32 pages, 14 figures, 16 appendix figures. Re-submitted to MNRAS after including referee's comments Comments: 32 pages, 14 figures, 16 appendix figures. Accepted to MNRAS arXiv We present spatially-resolved two-dimensional stellar kinematics for the 41 most massive early-type galaxies (MK <~ -25.7 mag, stellar mass M* >~ 10^11.8 Msun) of the volume-limited (D < 108 Mpc) MASSIVE survey. For each galaxy, we obtain high-quality spectra in the wavelength range of 3650 to 5850 angstroms from the 246-fiber Mitchell integral-field spectrograph (IFS) at McDonald Observatory, covering a 107 x 107 arcsec field of view (often reaching 2 to 3 effective radii). We measure the 2D spatial distribution of each galaxy's angular momentum (lambda and fast or slow rotator status), velocity dispersion (sigma), and higher-order non-Gaussian velocity features (Gauss-Hermite moments h3 to h6). Our sample contains a high fraction (~80%) of slow and non-rotators with lambda <~ 0.2. WHen combined with the lower-mass ETGs in the ATLAS3D survey, we find the fraction of slow rotators to increase dramatically with galaxy mass, reaching ~50% at MK ~ -25.5 mag and ~90% at MK ~ 26 mag. All of our fast rotators show a clear anti-correlation between h3 and V/sigma, and the slope of the anti-correlation is steeper in more round galaxies. The radial profiles of sigma show a clear luminosity and environmental dependence: the 12 most luminous galaxies in our sample (MK <~ -26 mag) are all brightest cluster/group galaxies (except NGC 4874) and all have rising or nearly flat sigma profiles, whereas five of the seven "isolated" galaxies are all fainter than MK ~ -25.8 mag and have falling sigma. All of our galaxies have positive <h4>; the most luminous galaxies have <h4> ~ 0.05 while less luminous galaxies have a range of values between 0 and 0.5. Most of our galaxies show positive radial gradients in h4, and those galaxies also tend to have rising sigma profiles. We discuss the implications for the relationship among dynamical mass, sigma, h4, and velocity anisotropy for these massive galaxies. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Ma, Chung-Pei Thomas, Jens Greene, Jenny E McConnell, Nicholas J Walsh, Jonelle Ito, Jennifer Blakeslee, John P Janish, Ryan http://arxiv.org/pdf/1609.00391.pdf Preprint n 201636 11 PREPRINT Hidden 2212743 SzGeCERN 20210421213234.0 9783319321233 print version 9783319321257 electronic version 129 (NL),129 (1U) electronic version oai:cds.cern.ch:2212743 cerncds:BOOK EBL 4653460 eng QA75.5-76.95 004 Colbert, Edward J M Cyber-security of SCADA and other industrial control systems Cham Springer 2016 368 p ebook Advances in information security 66 Acknowledgements -- Contents -- About the Authors -- Chapter 1: Introduction and Preview -- 1.1 The Structure and Functions of an ICS -- 1.1.1 Key Segments of an ICS -- 1.1.2 Safety and Reliability in ICS -- 1.1.3 Security of ICS Field Network Components -- 1.2 Preview of this Book -- References -- Chapter 2: Components of Industrial Control Systems -- 2.1 Introduction -- 2.2 Industrial Control System Functional Components -- 2.2.1 Programmable Logic Controller -- 2.2.2 Remote Terminal Unit -- 2.2.3 Intelligent Electronic Device -- 2.2.4 Engineering Workstation 2.2.5 Human Machine Interface -- 2.2.6 Data Historian -- 2.2.7 Communications Gateways -- 2.2.8 Front End Processor -- 2.2.9 ICS Field Devices -- 2.3 Types of ICS -- 2.3.1 Process Control System -- 2.3.2 Safety Instrumented System -- 2.3.3 Distributed Control System -- 2.3.4 Building Automation System -- 2.3.5 Supervisory Control and Data Acquisition -- 2.3.6 Energy Management System -- 2.3.7 Other Type of ICSs -- References -- Chapter 3: Wireless Infrastructure in Industrial Control Systems -- 3.1 Introduction -- 3.2 Wireless Technologies for ICSs -- 3.2.1 WirelessHART 3.2.2 ISA 100.11a Standard -- 3.2.3 Z-Wave -- 3.2.4 Zigbee -- 3.2.5 Bluetooth -- 3.2.6 Microwave -- 3.2.7 Satellite -- 3.3 Cyber and Physical Threats to Wireless ICSs -- 3.3.1 Generic Threat Model -- 3.3.2 Specific Threats for Wireless ICS Technologies -- 3.3.3 Desired Security Mechanisms -- 3.3.4 Additional Security Mechanisms -- 3.4 Integration of Wireless Technologies to an Existing ICS Infrastructure: Smart Grid and Micro-Grid Case -- 3.4.1 FIU Smart Grid Testbed -- 3.4.2 Test Case: Handling Islanding Situation via Wireless Communication -- 3.5 Summary and Conclusions -- References Chapter 4: Operational Technology and Information Technology in Industrial Control Systems -- 4.1 Introduction -- 4.2 Difference Between IT and OT -- 4.2.1 Operational -- 4.2.1.1 Operational Objectives -- Safety -- Environmental -- Societal Dependencies -- Physical Infrastructure -- 4.2.1.2 High Availability Requirements -- 4.2.1.3 Geographic Location -- 4.2.2 Technological -- 4.2.2.1 Limited Support for Security Mechanisms -- 4.2.2.2 Embedded Systems -- 4.2.2.3 Network Protocols -- 4.2.2.4 Real-Time Performance -- 4.2.2.5 Legacy and Esoteric Technologies -- 4.2.2.6 Cyber-Physical Risk Analysis 4.2.3 Managerial -- 4.2.3.1 Long Lifecycle -- 4.2.3.2 Financial Investments -- 4.2.3.3 Vendors & Procurement -- 4.2.3.4 Managerial Domains -- 4.3 Convergence of IT Technologies into ICSs -- 4.3.1 Mobile Computing -- 4.3.2 Cloud Computing -- 4.3.3 Internet of Things and Smart Cities -- 4.4 Summary and Conclusions -- References -- Chapter 5: Threats in Industrial Control Systems -- 5.1 Introduction -- 5.2 The ICS Threat Landscape: A Paradigm Shifted -- 5.3 Organizational Threats -- 5.3.1 The Executive Level -- 5.3.2 The Chief Information Security Officer -- 5.3.3 Cultural Differences 5.3.4 Education and Training EBL201609 Computing and Computers SzGeCERN BOOK Kott, Alexander https://cds.cern.ch/auth.py?r=EBLIB_P_4653460 ebook n 201635 201609 21 PUBLIC https://catalogue.library.cern/legacy/2212743 BOOK MIGRATED 2212742 SzGeCERN 20181215220123.0 9781482261172 89.93 (NL),74.94 (3U),59.95 (1U) electronic version EBL 4653424 eng 006.8 Latham Cudworth, Ann Extending virtual worlds advanced design for virtual environments Milton CRC Press 2016 354 p Front Cover -- Contents -- Preface -- Acknowledgments -- Introduction -- Author -- Contributors -- 1: Concepts in Advanced Design for Game-Based Virtual Environments -- 2: About the Viewers and Content Created for This Book -- 3: The Vizome, Developing Creativity, and Virtual Environmental Design -- 4: Planning and Prototyping the Design of a Game-Based Virtual Environment -- 5: Designing for Social Interaction in Virtual Spaces -- 6: Developing the Designer-Scripter Collaboration -- 7: Designing with Level of Detail (LOD) -- 8: Designing with Virtual Physics in Mind 9: Landscape and Terrain Design in Virtual Environments -- 10: Design Considerations and Mesh Usage in Virtual Environments -- 11: Designing with Advanced Materials and Animated Graphic/Textures -- 12: World Building and Design with Procedural Techniques -- 13: Designing Virtual Environments for Head-Mounted Displays -- 14: The Multiple Dimensions of Game-Based Virtual Environments -- Glossary -- Important Links and Resources -- Bibliography -- Appendix A: Game-Based Sim Design Document -- Appendix B: Exhibit C-The Journal of Dr. Aubrey Wynn -- Back Cover 9781482261165 print version oai:cds.cern.ch:2212742 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4653424 ebook ebook EBL201609 Computing and Computers SzGeCERN BOOK n 201635 201609 21 PUBLIC BOOK DELETED 2212738 SzGeCERN 20180612223801.0 9783319293981 179 (NL),179 (1U) electronic version EBL 4649813 eng QC71.82-73.8 621.042 Cruz, Joao Floating offshore wind energy the next generation of wind energy Cham Springer 2016 345 p Green energy and technology Preface -- Contents -- 1 Looking Back -- 1 Evolution of the Offshore Engineering Industry -- 1.1 The Early Days of the Offshore Industry -- 1.2 Moving into Deeper Water -- 1.3 Synergies with the Offshore Wind Sector -- 2 The Early Days of Floating Offshore Wind Turbines -- 3 State of the Floating Offshore Wind Industry -- 3.1 Early Research Activities -- 3.2 Collaborative Research and Development Projects -- 4 Chapter Layout -- References -- 2 The Offshore Environment -- 1 Offshore Wind Resource -- 1.1 Origins of the Resource -- 1.2 Measuring the Resource -- 1.3 Resource Mapping 1.4 Discussion -- 2 Wave Climate -- 2.1 Origins of the Resource -- 2.2 Measuring the Resource -- 2.3 Resource Mapping -- 2.4 Discussion -- 3 Other Environmental Conditions -- 3.1 Currents and Sea Level -- 3.2 Seismic Activity -- 3.3 Ice Conditions -- Acknowledgments -- References -- References (1) -- References (2) -- References (3) -- 3 Overview of Floating Offshore Wind Technologies -- 1 Support Structures for Floating Wind Turbines -- 1.1 Concept Identification -- 1.2 Spar Buoy Class of Platforms -- 1.3 Tensioned Moored Class of Platforms -- 1.4 Semi-Submersible Class of Platforms 1.5 Summary of Support Structure Options -- 2 Wind Turbine Options -- 2.1 HAWT and VAWT: High Level Comparison -- 2.1.1 Maturity of the Technology -- 2.2 Summary of Wind Turbine Options -- 3 Mooring Systems -- 3.1 Common Materials -- 3.1.1 Fibre Rope -- 3.2 Composite Mooring Systems -- 3.3 Design Methodology and Applicable Standards -- 3.4 Design Challenges -- References -- References (2) -- References (3) -- 4 Modelling of Floating Offshore Wind Technologies -- 1 Aerodynamics -- 1.1 Introduction -- 1.2 Wind Turbine Rotor Aerodynamics Basics -- 1.3 Blade Element Momentum Method 1.4 Potential Flow and CFD Methods -- 1.5 Aerodynamic Considerations for Floating Wind Turbines -- 1.6 Discussion -- 2 Hydrodynamics -- 2.1 Numerical Modelling Challenges -- 2.2 Principles of Linear Wave-Structure Interaction -- 2.3 Linear Panel Methods: Key Features and Examples -- 2.4 Morison's Equation -- 2.5 Moving Forward: Advanced Methods -- 3 Mooring Dynamics -- 3.1 Quasi-Static Mooring Model -- 3.2 Dynamic Mooring Models -- 4 Structural Design -- 4.1 Linear Rigid Body Dynamics -- 4.2 Finite Element Methods -- 4.3 Modal Methods -- 4.4 Global Analysis Procedure 4.5 Local Finite Element Analysis -- 5 Review of Numerical Modelling Design Codes -- 5.1 Floating Offshore Wind Design Codes -- 5.2 Code Comparison Studies -- 6 Floating Wind Turbine Tank Testing -- 6.1 Model Testing: An Overview -- 6.2 Case Study: DeepCwind Testing at MARIN -- References -- References (1) -- References (2) -- References (3) -- References (4) -- References (5) -- References (6) -- 5 Key Design Considerations -- 1 Design Loads -- 1.1 Environmental Loads -- 1.1.1 Tidal Loading -- 1.2 Ultimate and Fatigue Loads -- 1.3 Design Load Cases -- 1.3.1 Conservatism and Tolerances 1.3.2 Simulation Length Atcheson, Mairead 9783319293967 print version oai:cds.cern.ch:2212738 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4649813 ebook ebook EBL201609 Engineering SzGeCERN BOOK n 201635 201609 21 PUBLIC BOOK DELETED 2212736 SzGeCERN 20170615235953.0 9783319436562 54.99 (NL),54.99 (1U) electronic version EBL 4649573 eng QC71.82-73.8 621.042 Rocco, Matteo Vincenzo Primary exergy cost of goods and services an input-output approach Cham Springer 2016 152 p Polimi springerbriefs Preface -- Contents -- Symbols, Acronyms, and Abbreviations -- 1 Introduction -- 1.1 Role of Natural Resources in the economic process -- 1.1.1 Primary and secondary factors of production -- 1.1.2 Focus on non-renewable Energy-Resources -- 1.2 Emerging needs in Environmental Impact Analysis -- 1.3 Objectives and structure of the book -- References -- 2 Review of Resources Accounting Methods -- 2.1 Life Cycle Assessment -- 2.2 Introduction to resources accounting -- 2.3 Input-Output analysis -- 2.3.1 Basic Leontief model: single production process 2.3.2 Basic Leontief model: generic system composed by n processes -- 2.3.3 Meaning of the Leontief Inverse coefficients -- 2.3.4 Assumptions of the Leontief Input-Output model -- 2.3.5 Classification of Input-Output Tables -- 2.3.6 Data Organization and application of Input-Output analysis -- 2.3.7 Practical application of Input-Output analysis -- 2.4 Process analysis -- 2.4.1 Definition and formalization of Process analysis -- 2.4.2 Practical application of Process analysis -- 2.5 Discussion -- References -- 3 Accounting for Energy-Resources use by Thermodynamics 3.1 Life Cycle Assessment methods based on Thermodynamics -- 3.1.1 Energy-Based methods -- 3.1.2 Entropy-Based methods -- 3.1.3 Exergy-Based methods -- 3.2 Thermodynamic characterization of non-renewable energy-resources -- 3.2.1 Irreversible depletion process -- 3.2.2 Reversible depletion process -- 3.2.3 The Exergy of common fossil fuels -- 3.2.4 The role of reference environment -- References -- 4 Exergy based Input-Output analysis -- 4.1 Evaluating primary exergy embodied in goods and services -- 4.1.1 Monetary Input-Output tables of national economies 4.1.2 Treatment of international trades: Single-Region models -- 4.1.3 Treatment of international trades: Multi-regional models -- 4.2 Hybrid Input-Output analysis -- 4.2.1 General formulation of the Hybrid Input-Output analysis -- 4.2.2 Increasing the accuracy of Input-Output analysis -- 4.2.3 Life Cycle Assessment of detailed systems -- 4.3 Thermodynamic performance assessment of Energy Conversion Systems -- 4.3.1 Relation between Exergy Cost Theory and Input-Output analysis -- 4.3.2 Design Evaluation of Energy Conversion Systems based on ELCA -- References 5 Internalization of human labour in Input-Output analysis -- 5.1 Internalization of human labour in LCA: literature review -- 5.2 Bioeconomic ExIO analysis: theoretical definition -- 5.2.1 Accounting for Products Required for Human Labour Production -- 5.2.2 Definition of the Bioeconomic ExIO model -- References -- 6 Case studies: applications of the Exergy based Input-Output analysis -- 6.1 Exergy-based Input-Output analysis of World national economies -- 6.1.1 Data sources and assumptions -- 6.1.2 About the evaluation of the Leontief Inverse Coefficients matrix 6.1.3 Primary exergy embodied in national economic production 9783319436555 print version oai:cds.cern.ch:2212736 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4649573 ebook ebook EBL201609 Engineering SzGeCERN BOOK n 201635 201609 21 PUBLIC BOOK DELETED 2212731 SzGeCERN 20210421213236.0 9789811023521 print version 9789811023538 electronic version 99 (NL),99 (1U) electronic version oai:cds.cern.ch:2212731 cerncds:BOOK EBL 4648507 eng QC71.82-73.8 621.042 Li, Zheng Informing choices for meeting China's energy challenges Singapore Springer 2016 156 p ebook Foreword -- Preface 1 -- Preface 2 -- Acknowledgements -- Contents -- 1 Introduction -- 2 China's Energy System -- 2.1 Energy Allocation Sankey Diagrams -- 2.1.1 Total Energy Flows -- 2.1.2 Coal, Oil, and Natural Gas Flows -- 2.2 The Key Influencing Factors on China's Energy System -- 2.2.1 Economic Growth and Energy Demand -- 2.2.2 China's Energy Resources and Supply Structure -- 2.2.3 China's Environmental Challenges -- 2.2.4 China's Approach to Strategic Planning of Energy -- 2.3 China's Regional Differences -- References -- 3 Long-Term Forecasting of Macro-Energy Scenarios of China 3.1 Introduction -- 3.2 Methodology Descriptions -- 3.2.1 IEA's World Energy Outlook 2010 -- 3.2.2 EIA's International Energy Outlook 2010 -- 3.2.3 BP's Energy Outlook 2030 -- 3.2.4 CAE's Mid-Term and Long-Term Energy Development Strategy of China (2030, 2050) -- 3.3 Policy Assumptions -- 3.4 Technical Accuracy -- 3.5 Criteria of Scenario Settings -- 3.6 Challenges of Projections and Our Motivations -- 4 China's Fossil Fuel Resources -- 4.1 Overview -- 4.1.1 Coal -- 4.1.1.1 Coal Reserves -- 4.1.1.2 Coal Balance -- 4.1.2 Gas -- 4.1.2.1 Gas Reserves -- 4.1.2.2 Gas Balance -- 4.1.3 Oil 4.1.3.1 Oil Reserves -- 4.1.3.2 Oil Balance -- 4.1.4 Future Fossil Energy Development Trend -- 4.2 Unconventional Gas-Challenges for This Untapped Resource -- 4.2.1 Definition and Classification -- 4.2.2 Development Status -- 4.2.2.1 CBM -- 4.2.2.2 Shale Gas -- 4.2.3 Development Barriers -- 4.2.4 Recommendations -- 4.2.4.1 Natural Gas Industry -- 4.2.4.2 CBM Sector -- 4.2.4.3 Shale Gas Sector -- 4.3 Conclusions -- References -- 5 Overcapacity Challenges -- 5.1 Introduction -- 5.2 Concepts and Reasons for Overcapacity -- 5.3 Regional Analysis: Significant Disparities in Energy Consumption Patterns 5.4 Refining and Transport Fuel Sector-Meeting Cleaner Fuel Needs -- 5.5 Regional Model for Technology Optimisation of Power Generation Sector -- 5.6 Conclusion -- References -- 6 Role of State-of-the-Art Technology -- 6.1 Current Status of Power Technologies -- 6.1.1 Pulverised Coal (PC) -- 6.1.1.1 Technical Performance -- 6.1.1.2 Economic Performance -- 6.1.1.3 Environmental Performance -- 6.1.2 Gas Power -- 6.1.2.1 Technical Performance -- 6.1.2.2 Economic Performance -- 6.1.2.3 Environmental Performance -- 6.1.3 Nuclear -- 6.1.3.1 Technical Performance -- 6.1.3.2 Economic Performance 6.1.4 Renewable Power -- 6.1.4.1 Technical Performance -- 6.1.4.2 Economic Performance -- 6.1.5 Remarks -- 6.2 Future Potential of Power Technologies -- 6.2.1 PC Trends -- 6.2.2 Gas Power Trends -- 6.2.3 Nuclear -- 6.2.4 Renewable Power -- 6.3 Conclusions -- References -- 7 Modelling China's Future Energy Infrastructure: An Introduction to the Modelling Methodology -- 7.1 Introduction -- 7.2 Methodology Description -- 7.2.1 Power Model Structure and Assumptions -- 7.2.2 Mathematical Equations -- 7.2.2.1 Objective Function -- 7.2.2.2 Capital Cost for Construction 7.2.2.3 Capital Cost for Retrofit EBL201609 Engineering SzGeCERN BOOK Amorelli, Angelo Liu, Pei https://cds.cern.ch/auth.py?r=EBLIB_P_4648507 ebook n 201635 201609 21 PUBLIC https://catalogue.library.cern/legacy/2212731 BOOK MIGRATED 2212700 SzGeCERN 20210421213242.0 9783658153151 print version 9783658153168 electronic version 79.99 (NL),79.99 (1U) electronic version oai:cds.cern.ch:2212700 cerncds:BOOK EBL 4631679 eng QA75.5-76.95 004 Jaeger, Attila Weather hazard warning application in Car-to-X communication concepts, implementations, and evaluations Wiesbaden Springer 2016 230 p ebook Acknowledgment -- Kurzfassung -- Abstract -- Contents -- List of Figures -- List of Tables -- Acronyms -- 1. Introduction -- 1.1. Motivation -- 1.2. Weather Hazard Warning Application Overview -- 1.3. Chapter Outline -- 2. Car-to-X Communication -- 2.1. Overall Car-to-X System Architecture Overview -- 2.2. Frequency and Channel Allocation -- 2.3. Car-to-X Messages -- 2.3.1. Cooperative Awareness Message -- 2.3.2. Decentralized Environmental Notification Message -- 2.3.3. Probe Vehicle Data Message -- 2.3.4. Message Distribution Algorithms -- 2.4. Pseudonym Changes 2.5. Area and Coordinate Definitions -- 2.5.1. Area Definition, Representation, and Encoding -- 2.5.2. Coordinate Definition and Representation -- 3. Weather Hazard Detection -- 3.1. Vehicle Data Processing -- 3.1.1. Vehicle Data Unification -- 3.1.2. Improved Positioning -- 3.1.3. Weather Profiles -- 3.2. Situation Recognition -- 3.2.1. Basic Situation Detection -- 3.2.2. Advanced Situation Detection -- 3.2.3. Determining a Surrounding Rectangle -- 3.3. Infrastructure-Based Weather Detection -- 4. Situation Maintenance -- 4.1. Mobility Data Verification -- 4.1.1. The Kalman Filter 4.1.2. Mobility Data Verification Flow -- 4.2. Weather Data Verification -- 4.3. Area Aggregation -- 4.3.1. Intersection Points of Bounded Lines -- 4.3.2. Verifying a Point's Location in Relation to an Area -- 4.3.3. Determining the Size of an Overlapping Field -- 4.3.4. Overall Event Area -- 4.4. Reliability Aggregation -- 4.4.1. Time-dependent Situation Reliability -- 4.4.2. Overall Event Reliability -- 4.5. Situation Management -- 5. Driver Notification -- 5.1. Relevant Events -- 5.1.1. Determining the Distance to a Rectangle -- 5.1.2. The Recognition Field 5.2. Presenting Driver Notifications -- 5.2.1. Notification Levels -- 5.2.2. Driver Notification Interfaces -- 5.2.3. Weather Hazard Warning Notifications Strategies -- 6. Reference Implementations -- 6.1. The simTD Field Operational Test System Architecture -- 6.1.1. Overall System Architecture Overview -- 6.1.2. Vehicle ITS Station Architecture -- 6.2. The Plausibility Verification Component -- 6.2.1. Adapting the Kalman Filter as Vehicle Tracker -- 6.2.2. Vehicle Sensor Data Fusion -- 6.3. The Road Weather Warning Application in simTD -- 6.4. The Weather Warning Application in DRIVE C2X 7. Evaluation Results -- 7.1. DLE Coordinates Applicability -- 7.2. Mobility Data Verification Accuracy -- 7.3. Situation Detection Reliability -- 7.4. Driver Notification -- 7.5. Driver Acceptance -- 8. Summary and Conclusion -- A. Security Considerations -- A.1. Attacker and Threat Analysis -- A.1.1. Hardware Data Intrusion -- A.1.2. Vehicle Tracking -- A.1.3. Roadside Attacker -- A.1.4. Participating Attacker -- A.2. Secure C2X Beamforming -- A.2.1. Radiation Patterns for the Weather Hazard Warning -- A.2.2. Integrating into the simTD System Architecture -- A.3. Cryptographic Security A.3.1. Hardware Security Module EBL201609 Computing and Computers SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4631679 ebook n 201635 201609 21 PUBLIC https://catalogue.library.cern/legacy/2212700 BOOK MIGRATED 2212694 SzGeCERN 20200503231945.0 9781138780460 print version 9781317400004 electronic version 200 (3U),160 (1U) electronic version oai:cds.cern.ch:2212694 cerncds:BOOK EBL 4626163 eng TJ820 621.3121360941 Hogg, Simon UK wind energy technologies Florence Taylor and Francis 2016 315 p Cover -- Title -- Copyright -- Dedication -- Contents -- List of figures -- List of tables -- List of contributors -- Preface -- 1 Wind resource -- 2 Environmental interaction -- 3 Reliability and condition monitoring -- 4 Turbine blade materials and modelling -- 5 Connection and transmission -- 6 Wind turbine control -- 7 Assessment of operation and maintenance strategies -- Index Crabtree, Christopher https://cds.cern.ch/auth.py?r=EBLIB_P_4626163 ebook ebook EBL201609 Engineering SzGeCERN BOOK n 201635 201609 21 PUBLIC BOOK DELETED 2212670 SzGeCERN 20161010224605.0 9781482259810 149.94 (3U),119.95 (1U) electronic version EBL 4617058 eng 621.31244 Deambi, Suneel Photovoltaic system design procedures, tools and applications Milton Taylor and Francis 2016 281 p Cover -- Title Page -- Copyright Page -- Contents -- List of Figures -- List of Tables -- Preface -- Acknowledgements -- About the Author -- 1 Role of Renewable Energy Technologies in the Overall Energy Scenario at a Global Level -- 1.1 Introduction -- 1.2 Global Energy-Use Status -- 1.2.1 Role of Private Sector -- 1.3 Resource Mix -- 1.3.1 Various Policies to Match Energy Supply and Demand -- 1.3.2 Country-Specific Examples in Brief -- 1.3.3 Security of Energy Supply -- 1.3.4 Share of Fossil Fuels -- 1.3.5 Role of Low-Carbon Technologies -- 1.3.6 Environmental Advantage 1.3.7 Energy as an Enabler -- 1.3.8 Brief Analysis -- 1.3.9 Assessment of the Available Energy Technologies -- 1.3.9.1 Importance of 'Net Energy' -- 1.3.9.2 Nuclear Energy -- 1.3.9.3 Other Energy Sources -- 1.4 Existing Investment Climate for Renewable Energy Technologies -- 1.4.1 Introducing Solar Energy Technologies -- 1.4.1.1 Dye-Sensitized Solar Cells -- 1.4.2 Concentrated Solar Power Technology -- 1.4.3 Grid Parity -- 1.4.3.1 Taking the Challenge Head-On -- 1.4.3.2 Fast-Declining SPV Price Regime -- 1.5 Projected Worldwide Goals for the Development and Deployment of Solar Technology 1.5.1 Solar Photovoltaic Leading from the Front -- 1.5.2 Emerging Demand in MEA Region -- 1.6 Key Challenges and Opportunities -- 1.6.1 Primary Global Issues at Present -- 1.6.2 Markets and Policy Makers Both Play Crucial Roles -- 1.6.3 Five Key National Areas for Action -- 1.6.3.1 Policy Measures -- 1.7 Summary of Latest Indian Energy Scenario -- 1.7.1 Energy Issues and Challenges -- 1.7.2 Financial and Fiscal Incentives -- References -- 2 Off-Grid and On-Grid PV Applications -- 2.1 Introduction -- 2.2 Commonly Used Off-Grid PV Products -- 2.2.1 Solar Lantern -- 2.2.2 Solar Home-Lighting System 2.2.3 Solar Street-Lighting System -- 2.2.4 Solar Fans -- 2.2.5 Solar Garden Lights -- 2.2.6 Solar Chargers -- 2.2.7 Solar Inverter -- 2.2.7.1 Off-Grid Mode -- 2.2.7.2 On-Grid Mode -- 2.2.8 SPV Water Pumping System -- 2.2.8.1 Key Solar Water Pumping Technologies -- 2.3 Grid-Connected Rooftop Solar Power Plant -- 2.3.1 Role of State Governments -- 2.3.1.1 Institutional Arrangements -- 2.3.2 Brief Outlook on Global PV Rooftop Market -- 2.3.2.1 Rooftop System Description -- 2.3.2.2 Identicfiation and Traceability -- 2.4 Solar Net-Metering -- 2.4.1 Cost Analysis 2.4.2 Key Objectives of the PV Rooftop Programme -- 2.5 Electricity Bill with Solar Net-Metering - A Few Case-Specific Examples -- 2.5.1 Getting a Solar Net-Metering Connection - Five Convenient Steps -- 2.5.2 Safety Requirements for Grid-Connected SPV Systems -- 2.5.3 Technical Standards for Connectivity -- 2.5.3.1 Classicfiation of Projects Based on Grid Connectivity -- 2.5.4 Business Models for Grid-Connected Rooftop and Small Solar Power Plants -- 2.6 Estimated Rooftop Potential for Central Government Buildings -- 2.6.1 Current Status of PV Rooftop Deployment in India 2.6.1.1 Fiscal and Financial Incentives for Rooftop PV 9781482259803 print version oai:cds.cern.ch:2212670 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4617058 ebook ebook EBL201609 Engineering SzGeCERN BOOK n 201635 201609 21 PUBLIC BOOK DELETED 2212609 SzGeCERN 20201117212506.0 9781118900109 print version 9781118900130 electronic version 195 (NL),195 (3U),130 (1U) electronic version oai:cds.cern.ch:2212609 cerncds:BOOK EBL 4039671 eng TJ820 -- .Z436 2015eb 621.312136 Zhang, Matthew Huaiquan Wind resource assessment and micro-siting science and engineering New York, NY Wiley 2015 389 p Title Page -- Copyright -- Table of Contents -- Preface -- Introduction -- Acknowledgments -- About the Author -- List of Symbols -- Chapter 1: Introduction -- 1.1 Wind Resource Assessment as a Discipline -- 1.2 Micro-siting Briefing -- 1.3 Cascade of Wind Regime -- 1.4 Uncertainty of Wind Resource -- 1.5 Scope of the Book -- References -- Chapter 2: Concepts and Analytical Tools -- 2.1 Surface Roughness and Wind Profile -- 2.2 Speed-up Effect of Terrain -- 2.3 Shelter Effect of Obstacles -- 2.4 Summary -- References -- Chapter 3: Numerical Wind Flow Modelling -- 3.1 Modelling Concept Review 3.2 Linearised Numerical Flow Models -- 3.3 Mass-Consistent Models -- 3.4 CFD Models -- 3.5 Meso Scale NWP Models -- 3.6 Inherent Uncertainties in Wind Flow Modelling -- 3.7 Summary -- References -- Chapter 4: Wind Park Physics and Micro-siting -- 4.1 Wind Power Density -- 4.2 Wind Power Conversion -- 4.3 Wind Turbine Wake Effects -- 4.4 Wind Turbine Micro-siting -- 4.5 Summary -- References -- Chapter 5: Wind Statistics -- 5.1 Statistics Concepts Review -- 5.2 Wind Data Time Series -- 5.3 Mean Wind Speed of the Whole Time Series -- 5.4 Weibull Distribution -- 5.5 Estimating Weibull Parameters 5.6 Extreme Wind Statistics -- 5.7 Summary -- References -- Chapter 6: Measure-Correlate-Predict -- 6.1 Wind Data Correlation -- 6.2 Wind Data Regression and Prediction -- 6.3 MCP Methodology for Wind Energy -- 6.4 MCP Uncertainty -- 6.5 Sources of Reference Data -- 6.6 Summary -- References -- Chapter 7: Wind Park Production Estimate -- 7.1 Gross and Net AEP -- 7.2 AEP Uncertainty Analysis -- 7.3 Natural Variability of Wind -- 7.4 Uncertainty in Wind Measurement -- 7.5 Uncertainty in Wind Flow Modelling -- 7.6 A Case Study -- 7.7 Wind Resource Assessment Report -- 7.8 Summary -- References Chapter 8: Measuring the Wind -- 8.1 Representativeness of the Met Mast -- 8.2 Cup Anemometer Physics -- 8.3 Met Mast Installation -- 8.4 Met Mast Operation and Maintenance -- 8.5 Data Validation -- 8.6 Alternative Wind Sensors -- 8.7 Summary -- References -- Chapter 9: Atmospheric Circulation and Wind Systems -- 9.1 General Concepts -- 9.2 Laws and Driving Forces -- 9.3 General Atmospheric Circulations -- 9.4 Synoptic Scale Wind Systems -- 9.5 Meso-scale Wind Systems -- 9.6 Micro-scale Winds -- Summary -- References -- Chapter 10: Boundary Layer Winds -- 10.1 Atmospheric Stability 10.2 Orographic Effects -- 10.3 Onshore Boundary Layer Winds -- 10.4 Offshore Boundary Layer Winds -- 10.5 Summary -- References -- Chapter 11: Environmental Impact Assessment -- 11.1 Biological Impacts -- 11.2 Visual Impacts -- 11.3 Noise Impacts -- 11.4 Weather and Climate Change -- 11.5 Public Health and Safety -- 11.6 Summary -- References -- Appendix I: Frequently Used Equations -- Appendix II: IEC Classification of Wind Turbines -- Appendix III: Climate Condition Survey for a Wind Farm -- III.1 Calculating the Ambient Temperature Range -- Appendix IV: Useful Websites and Database -- Index End User License Agreement https://cds.cern.ch/auth.py?r=EBLIB_P_4039671 ebook ebook EBL Renewable energy sources EBL Wind power plants EBL Wind power EBL201609 Engineering SzGeCERN BOOK n 201635 201609 21 PUBLIC BOOK DELETED 2212564 SzGeCERN 20170906005809.0 9783319097916 54.99 (NL),54.99 (1U) electronic version EBL 1802912 eng QC71.82-73.8 621.042 Hyard, Alexandra Non-technological innovations for sustainable transport four transport case studies Cham Springer 2014 93 p Springerbriefs in applied sciences and technology Contents -- 1 Introduction -- Abstract -- References -- 2 Which Policy Tools to Move Towards Low Carbon Mobility? -- Abstract -- 2.1emspIntroduction -- 2.2emspBackground on the Economic Principles of Low Carbon Mobility -- 2.2.1 Transport Investments and Financing Issues -- 2.2.2 The Relation Between Economic Growth, Transport Activity and Carbon Emissions -- 2.3emspEfficiency, Equity and Acceptability Criterion of a Sample of Policy Tools -- 2.3.1 Different Ways of Classifying and Selecting Instruments 2.3.1.1 Depending on the Decision-Makers Involved, Policy Targets and Structural Designs of the Instruments -- Public and Private Actors -- Supply-Side or Demand-Side Targeting -- 'Hard' Versus 'Soft' Measures -- First-Best and Second-Best Features -- 2.3.1.2 Efficiency, Equity and Acceptability Properties of the Tools -- Conditions for Their Economic Efficiency -- Equity Effects of the Policy Levers -- Acceptability Challenges When Implementing the Tools -- 2.3.2 Sample of Instruments -- 2.3.2.1 Low-Emissions Zones -- Economic Efficiency -- Equity Effects -- Acceptability Challenges 2.3.2.2 Congestion Tolling -- Economic Efficiency -- Equity Effects -- Acceptability Challenges -- 2.3.2.3 Parking Charging -- Economic Efficiency -- Equity Effects -- Acceptability Challenges -- 2.3.2.4 Public Transit Faring Policy -- Economic Efficiency -- Equity Effects -- Acceptability Challenges -- 2.4emspConclusion -- References -- 3 Recent Innovation in Last Mile Deliveries -- Abstract -- 3.1emspIntroduction -- 3.2emspUrbanization and Effects on Freight Transport -- 3.2.1 The Variety of Urban Supply Chains -- 3.2.2 Urban Freight Data -- 3.3emspLast Mile Deliveries and Trucks and Vans 3.3.1 Environmental Impact of Urban Transport -- 3.3.2 Light Commercial Vehicles' Performance -- 3.4emspCity Logistics Innovations -- 3.4.1 E-Commerce and Alternatives to Home Delivery -- 3.4.1.1 Pickups Point Networks in France -- 3.4.2 Food Hubs and Food Deliveries to Independent Retailers -- 3.4.2.1 Wholesale Produce Markets as Food Hubs -- 3.4.3 Cargo-Cycles and Waterways as Alternatives to Motor Vehicles -- 3.5emspConclusion -- References -- 4 New Innovative Rail Services: Stakes and Perspectives -- Abstract -- 4.1emspIntroduction -- 4.2emspRailroad Transportation and Sustainability 4.2.1 Transportation: A Sector with High Negative Externalities -- 4.2.2 Higher Negative Environmental Externalities in Freight than in Passenger Transport -- 4.2.3 Rail Freight Transport: Environmental Externalities and Growth Rate -- 4.2.3.1 PRIMES Model -- 4.3emspSustainable Transport Policy and Innovation -- 4.3.1 Railway Packages -- 4.3.2 From Modal Shift to Co-modality -- 4.3.3 The Challenge of Intelligent Freight Transport Systems -- 4.4emspThe Limits of Sustainable Transport Policy -- 4.4.1 Non Technological Innovation Less Encouraged -- 4.4.2 The Neglected Service Innovation 4.4.3 The Neglected Shippers' Expectations Examining non-technological innovations for environmentally and socially-friendly transport, this book provides the reader with a better understanding of this often overlooked topic. It features four illustrative case studies, and presents a concise review of the core transport modes (road, rail and marine transport). Transport companies are compelled to innovate due to economic and environmental pressures, and the aim of these innovations is to improve fuel efficiency and ultimately to transform energy use in the transport sector. Whilst many of these innovations are technological, they can c Hammadou, Hakim Papaix, Claire Morganti, Eleonora Dablanc, Laetitia Zeroual, Thomas Lendjel, Emeric Fischman, Marianne 9783319097909 print version oai:cds.cern.ch:2212564 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1802912 ebook ebook EBL Transportation -- Environmental aspects -- Case studies EBL201609 Engineering SzGeCERN BOOK n 201635 201609 21 PUBLIC BOOK DELETED 2212558 SzGeCERN 20170906005809.0 9783319064222 109 (NL),109 (1U) electronic version EBL 1782935 eng QC71.82-73.8 621.042 Riva Sanseverino, Eleonora Smart rules for smart cities managing efficient cities in Euro-mediterranean countries Cham Springer 2014 138 p Springer for innovation 12 Preface -- Contents -- 1 Competitive Urban Models -- Abstract -- 1.1…Smart City Model -- 1.2…European Smart Cities -- 1.2.1 Efficientcities: Cities and infrastructures for growth in Italy -- 1.3…The Key Features of the Smart City: Smart Governance, Smart Mobility and Smart Energy -- 1.3.1 From Traditional Governance to Smart Governance of Cities -- 1.3.2 Intelligent Urban Mobility -- 1.3.3 Smart Energy in Europe: Comparing Sweden and Italy -- References -- 2 Smart Cities Atlas -- Abstract -- 2.1…Smart City Models -- 2.1.1 Northern Europe Cities -- 2.1.2 Euro-Mediterranean Cities 2.1.3 Cities of the World -- References -- 3 The Integration and Sharing of Resources for a New Quality of Living -- Abstract -- 3.1…What Legal Framework for Smart Cities? -- 3.1.1 Definition of Smart Cities and Central Role of ICTs: Examples -- 3.1.2 Cities' Transformation from Service Providers to Platform Providers -- 3.1.3 The Need and Rationale for a Legal Intervention in the Data Protection Sector -- 3.2…Sharing and Integration in the Smart City -- 3.2.1 Sharing in the Digital Age -- 3.2.2 Sharing and Integration of Urban Functions: Mobility and Energy -- References 4 Urban Smartness: Tools and Experiences -- Abstract -- 4.1…The unsustainable settlement model -- 4.2…Sustainability Proposals -- 4.3…Urban Regeneration -- 4.4…Conclusions -- References -- 5 The Urban and Environmental Building Code as Implementation Tool -- Abstract -- 5.1…The ''Building Regulation'' as Implementation Tool for Sustainable Restoration of Existing Buildings -- 5.2…The Revision of Municipal Building Codes in the Context of Regional Policies for Energy in Italy -- 5.2.1 The Case of the Sicilian Region 5.3…The Regulatory Frame in Italy in the Field of Energy Efficiency in Buildings and in the Use of Renewable Energy Sources Generation -- 5.4…The Definition of Guidelines for the Sustainable Revision of the Municipal Building Regulations: The Case of Sicily -- 5.4.1 The Sicilian Context -- 5.4.2 The Analysis of the Regulatory Framework in Energy Efficiency and Energy Production from Renewables Sources in Sicily -- 5.4.3 Prizes and Incentives for Energy Efficiency in Municipal Building Codes 5.4.4 A Benchmark for the Elaboration of Performance Standards to Improve the Current Regulatory Framework -- 5.4.5 The Structure of the Guidelines for the Definition of the Energy Annex to the Municipal Building Codes in Sicily -- References -- 6 Economic Feasibility of Measures for Energy Efficiency -- Abstract -- 6.1…The European Norms for Energy Certification and the Passivhaus Standard -- 6.2…Background on Energy Performance in Buildings: The Italian Case -- 6.3…Active Measures for Energy Efficiency: BAC Efficiency Class in Residential Building 6.3.1 Calculation of the Electric Energy Consumption This book explores the new rules and codes that are required in order to foster the implementation of smart city technologies with a view to meeting the environmental and energy challenges posed by dynamic contemporary cities with increasing populations. In particular, it proposes a methodological approach suitable for use when devising a smart urban/building code for local administrations, taking into account the current European regulatory framework (directives and technical norms) and evaluating the economic feasibility of the suggested measures. A case study is made of a large Mediterranea Riva Sanseverino, Raffaella Vaccaro, Valentina Zizzo, Gaetano 9783319064215 print version oai:cds.cern.ch:2212558 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1782935 ebook ebook EBL City planning -- Germany EBL201609 Engineering SzGeCERN BOOK n 201635 201609 21 PUBLIC BOOK DELETED 2212556 SzGeCERN 20210421213258.0 9783319066400 print version 9783319066417 electronic version 54.99 (NL),54.99 (1U) electronic version oai:cds.cern.ch:2212556 cerncds:BOOK EBL 1731137 eng QC71.82-73.8 621.042 Mequignon, Marc Lifetime environmental impact of buildings Cham Springer 2014 123 p ebook SpringerBriefs in applied sciences and technology Acknowledgments -- Contents -- Abstract -- Introduction -- Part I Background -- 1 The Construction Industry and Lifespan -- Abstract -- 1.1 Ageing of a Building -- 1.1.1 Ageing -- 1.1.2 Obsolescence -- 1.2 Buildings, Construction Products and Lifespan -- 1.2.1 Technical Lifespan and Tools for Evaluating It -- 1.2.1.1 Technical Lifespan of Products and Buildings -- 1.2.1.2 Evaluation Tools -- 1.2.2 Functional Lifespans of Products and Buildings -- 1.3 Factors Influencing Lifespan -- 1.3.1 Impact of Maintenance on Lifespan -- 1.3.2 Maintenance and Maintenance Rules -- 1.3.3 Adaptability 1.3.4 Product Reuse and Recycling -- 1.3.4.1 Statistical Measures -- 1.3.4.2 Recycling Benefits -- 1.3.4.3 The Conditions for Recovery -- 1.3.4.4 A Legal Framework, Objectives and Tools -- 1.4 Tools for Assessing Performance -- 1.4.1 Taking Account of Lifespan Using Standards -- 1.4.1.1 ISO 15686 -- 1.4.1.2 The French Standard NF P01-010 -- 1.4.1.3 EUROCODE 0 -- 1.4.2 Lifespan Consideration in Tools of Impact Assessment -- 1.5 General Analysis -- 1.5.1 The Window Example -- 1.5.2 Recycling and Recovery -- 1.5.3 EUROCODE 0 -- 1.5.4 Concerning Maintenance -- 1.5.5 Adaptability -- 1.5.6 Optimization 1.5.7 Need -- 1.6 Conclusion -- References -- 2 Building and Sustainable Development -- Abstract -- 2.1 Background -- 2.1.1 Definitions -- 2.1.2 Principle: Analysis of Life Cycle -- 2.1.3 Eco-Design and Eco-Building Materials -- 2.1.3.1 Definitions -- 2.1.3.2 The Criteria for Eco-Materials -- 2.1.3.3 The Criteria for Eco-Design -- 2.2 Indicators and Sustainable Development Data -- 2.2.1 Indicators and Indices -- 2.2.2 Emissions from the Sector and Its Products -- 2.2.3 The Characteristics of the Data and Data Sources -- 2.2.3.1 Conclusion -- 2.3 Tools for Ecological Performance 2.3.1 Standards and Guides -- 2.3.1.1 Standards -- 2.3.1.2 Benchmarks -- 2.3.2 The Analytical Tools for Evaluating the Performance -- 2.3.3 The Models -- References -- 3 Research Analysis -- Abstract -- 3.1 Conclusion -- References -- Part II Method and Application -- 4 Method -- Abstract -- 4.1 Wall Unit -- 4.1.1 Delimitation of the System -- 4.1.1.1 Definition of the System -- The Functional System -- The Structural System -- 4.1.1.2 Other Characteristics of \the System -- Choice and Delimitation of the System in Time -- Climatic Situation of the System -- Situation of the System in Space 4.1.2 Scales of Evaluation -- 4.1.3 Summary -- 4.2 Choice of Indicators and Means Employed -- 4.2.1 General Principles of Evaluation -- 4.2.1.1 Comparisons "Ceteris Paribus" -- 4.2.1.2 Life Cycle Evaluation -- 4.2.1.3 Dependencies Among Building Elements -- 4.2.2 Choice of Indicators -- 4.2.3 Availability and Choice of Data Sources -- 4.2.4 Data Sources -- 4.2.4.1 Environmental Data and Critical Analysis -- 4.2.5 Contradictory Data in Environmental Databases -- 4.2.5.1 Specificities and Difficulties Concerning GHG -- 4.2.5.2 Result of the Approach Omitting the Storage Function 4.2.5.3 Arguments for a GHG Impact Indicator with a Negative Value This work discusses the impact of the life of buildings on? sustainable development methods.?The study of the lifespan of the building is used to assess and?manage the environmental impacts associated?with all the stages of a product's life, from raw material extraction?through to repair, maintenance and?? 'end of life' scenarios. While several papers have discussed thegreenhouse gas emissions of buildings,?less research has been done on how these are affected by the lifespan?of the building. This book serves to?highlight the pertinence of this factor and contributes to providing?new ideas on EBL201609 Engineering SzGeCERN EBL Architecture -- Environmental aspects EBL Buildings -- Environmental engineering EBL Force and energy EBL Power (Mechanics) EBL Power resources BOOK Ait Haddou, Hassan https://cds.cern.ch/auth.py?r=EBLIB_P_1731137 ebook n 201635 201609 21 PUBLIC https://catalogue.library.cern/legacy/2212556 BOOK MIGRATED 2212551 SzGeCERN 20170811001653.0 9781447162636 54.99 (NL),54.99 (1U) electronic version EBL 1636409 eng QC71.82-73.8 621.042 Bernstad Saraiva Schott, Anna Modern solid waste management in practice the city of Malmö experience London Springer 2013 100 p Springerbriefs in applied sciences and technology Preface -- Contents -- Abstract -- 1 Sustainable Waste Management in a Changing Environment -- 1.1…The City of Malmö: Aiming to Become the World Leader in Sustainable Solid Waste Management -- 1.2…Waste Management then and Now -- 1.3…Factors to be Considered in Modern Municipal Waste Management Policy-Making -- 1.3.1 Legislation and Objectives -- 1.3.2 Demographic Trends, Attitudes, and Economy -- 1.3.3 Potential for Conflicting Interests -- References -- 2 The City of Malmö as a Case Study -- 2.1…From Industries to Knowledge Production -- 2.2…Waste Management in Malmö -- References 3 Collaboration with External Partners: Solid Waste Management in Development -- References -- 4 From Idea to Reality: The City as a Test Bed -- 4.1…The Bo01 Project: Novel Technologies in New Developments -- 4.1.1 Unconventional Food Waste Disposal System -- 4.1.2 Vacuum System -- 4.1.3 Information Strategies in the Bo01 Area -- 4.2…The Augustenborg Project: Introducing Modern Waste Management in Existing Residential Areas -- 4.2.1 The History of the EcoCity Augustenborg -- 4.2.2 Infrastructure for Waste Collection in the Augustenborg Area -- 4.2.3 Information Aimed at Households 4.3…Methods for Evaluation -- 4.3.1 Evaluation of Waste Generation and Recycling Behavior -- 4.3.2 Caution in Relation to Evaluation of Separate Collection of Food Waste -- 4.3.3 Life-Cycle Assessment as an Evaluation Tool -- 4.4…Project and Collaboration Structure -- 4.4.1 The Bo01 Project Organizational Structure -- 4.4.2 The Augustenborg Project Organizational Structure -- 4.4.3 The Role of Academia -- 4.5…Project Outcomes and Learning -- 4.5.1 The Bo01 Project -- 4.5.1.1 On-Site Separation of Food Waste with Unconventional Food Waste Disposal Systems 4.5.1.2 On-Site Separation of Food Waste with the Vacuum System -- 4.5.1.3 User-Friendliness of Novel Waste Management Systems -- 4.5.1.4 Organization and Maintenance -- 4.5.1.5 Information Provided to Households -- 4.5.2 The Augustenborg Project -- 4.5.2.1 On-Site Separation of Dry Recyclables -- 4.5.2.2 Environmental Impacts from On-Site Separation of Dry Recyclables -- 4.5.2.3 On-Site Separation of Hazardous Waste and Electronic Waste -- 4.5.2.4 On-Site Separation of Food Waste -- 4.5.2.5 Information for Households -- 4.5.2.6 On-Site Separation of FOG 4.5.2.7 Mobile Collection Points for Bulky Waste -- 4.5.2.8 Potential for Food Waste Minimization -- 4.6…Aims, Methods and Outcomes -- References -- 5 Collaboration Outcomes -- 5.1…Technological Development Through External Evaluation -- 5.2…Methodological Development -- 5.3…Contact Between Engineering and Users: Every Link of the System is Important -- 5.4…Organizational Development -- 5.5…Scientific Basis for Policy Making -- 5.6…Use of Test Beds as a Method in Development Work -- 6 New Projects, Building on Previous Experience -- 6.1…Fullriggaren: Further Development of the Grinder Concept 6.2…Hyllie: Increasing Integration of Solid Waste Management in the Urban Planning Process This book focuses on sustainable solid waste management in an urban context and gives an example of how a modern city can work with waste management for increased sustainability in close cooperation with the academy. The book describes challenges which the city is facing and presents a case on how these can be tackled based on several research and development projects performed in the City of Malmö over the last decade. In these projects, the city has worked as a test bed for new solutions, developed with and evaluated by the university. The projects and evaluations of the same have been devel Aspegren, Henrik Bissmont, Mimmi la Cour Jansen, Jes 9781447162629 print version oai:cds.cern.ch:2212551 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1636409 ebook ebook EBL Integrated solid waste management EBL201609 Engineering SzGeCERN BOOK n 201635 201609 21 PUBLIC BOOK DELETED 2212550 SzGeCERN 20170811001653.0 9783319023564 54.99 (NL),54.99 (1U) electronic version EBL 1538497 eng QC71.82-73.8 621.042 Di Giuseppe, Elisa Nearly zero energy buildings and proliferation of microorganisms a current issue for highly insulated and airtight building envelopes Cham Springer 2013 99 p Springerbriefs in applied sciences and technology Preface -- Acknowledgments -- Contents -- 1 Definitions -- 1.1…Nearly Zero Energy Building (NZEB) -- 1.2…Building Envelope -- 1.3…Thermal Insulation -- 1.4…Airtightness -- 1.5…Thermal Decoupling -- 1.6…ETICS -- 1.7…Sick Building Syndrome -- 1.8…Bioreceptivity -- 1.9…Biofilm -- 1.10…Biodeterioration -- 2 Introduction -- 3 Algal Growth on External Building Envelope -- Abstract -- 3.1…Most Common Varieties of Algae Proliferating on Building Envelope -- 3.1.1 Cyanobacteria -- 3.1.2 Microalgae -- 3.2…Main Causes and Conditions of Growth 3.2.1 Presence of Water on the External Surfaces: The Driving Rain -- 3.2.2 Presence of Water on External Surfaces: Condensation -- 3.2.3 Additional Environmental and Climatic Factors -- 3.2.4 Influence of Technical and Manufacturing Solutions -- 3.3…Consequences for Durability and Performance of Building Elements -- References -- 4 Development of Mould in Indoor Environments -- Abstract -- 4.1…Mould Life Cycle -- 4.2…Main Causes and Conditions of Growth -- 4.2.1 Environmental Factors -- 4.2.2 Influence of the Type of Support -- 4.3…Effects on Human Health -- References 5 Analytical and Experimental Methods for the Assessment of the Biological Proliferation in Buildings -- Abstract -- 5.1…Analytical Models -- 5.1.1 Models of Biological Growth on Facades -- 5.1.2 Models of Internal Mould Growth -- 5.1.2.1 IEA-Annex 14 -- 5.1.2.2 Model of Time of Wetness -- 5.1.2.3 VTT Model -- 5.1.2.4 Isopleth Models -- 5.1.2.5 Biohygrothermal Model -- 5.2…Accelerated Experimental Testing -- 5.2.1 Algae -- 5.2.2 Mould -- References -- 6 Nearly Zero Energy Buildings and Proliferation of Microorganisms -- Abstract -- 6.1…Why NZEB Could be at Greater Biological Risk? 6.1.1 The 'Thermal Decoupling Phenomenon' in NZEB -- 6.1.2 Internal Moisture Loads in NZEB -- 6.2…Proliferation of Microorganisms on NZEB Facades -- 6.3…Mould Growth Inside NZEB -- References -- 7 Remedial Actions and Future Trends -- Abstract -- 7.1…Traditional Methods -- 7.1.1 Mechanical Methods -- 7.1.2 Chemical Methods -- 7.1.3 Physical Methods -- 7.2…A Promising Prospect: Innovative Engineered Nanoparticles -- 7.3…Prevention and Control Strategies in NZEB -- References -- 8 Conclusions -- Acknowledgments This book provides a concise review of the thermo-physical phenomena which regulate heat and moisture transportation in Nearly Zero Energy Buildings envelopes, and their relationship with the growth of biological organisms. It describes the main microorganisms proliferating on contemporary building elements and within buildings. It also states the consequences of biological growth on durability, aesthetics and human health; and provides the main methods for the analytical and experimental evaluation of proliferation. Finally, through the review of recent developments, remedial actions to count 9783319023557 print version oai:cds.cern.ch:2212550 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1538497 ebook ebook EBL Buildings -- Environmental engineering EBL201609 Engineering SzGeCERN BOOK n 201635 201609 21 PUBLIC BOOK DELETED 2212549 SzGeCERN 20170811001653.0 9781461481423 49.99 (NL),49.99 (1U) electronic version EBL 1398517 eng QC71.82-73.8 621.042 Meacham, Brian Fire safety challenges of green buildings New York, NY Springer 2013 87 p Springerbriefs in fire Foreword -- Preface -- Contents -- 1 Background and Introduction -- 1.1 Problem Statement, Project Objectives and Tasks -- 1.1.1 Problem Statement -- 1.1.2 Project Objectives -- 1.1.3 Tasks -- 1.2 Additional Tasks -- 1.3 Research Direction and Observations -- 2 Information Search -- 2.1 Representative Fire Incidents -- 2.2 Selected Resources Related to Fire and Green Building Concerns -- 2.3 International Survey and Responses -- 2.4 Review of Representative Green Building Rating Schemes for Fire Considerations -- 3 Green BuildingSite Elements and Attributes 4 Attributes of Green Building or Site Which Could Impact Fire, Life Safety, Building or Fire Service Performance -- 5 HazardRisk Assessment and Ranking -- 5.1 Detailed Matrices of Green Building ElementsFeatures and HazardRisk Factors -- 5.2 Tabular Representation of Potential Fire Hazards with Green Building Elements -- 5.3 Fire Hazards Associated with Green Rating Schemes and Codes -- 6 Summary and Conclusions -- Appendix A Informational Resources -- Appendix B Representative Fire Issues and Mitigation Approaches -- Appendix C International Survey and Responses Appendix D Detailed Matrices of Green Elements and Potential Fire Hazards -- D.1 Structural Materials and Systems -- D.2 Exterior Materials and Systems -- D.3 Interior Materials and Finishes -- D.4 Building Systems and Issues -- D.5 Alternative Energy Systems -- D.6 Site Issues -- Appendix E Illustration of Relative Hazard Ranking with Detailed Matrix -- Appendix F Tabular Representation of Fire Hazards with Green Building Elements -- Appendix G Assessment of LEED, BREEAM, GREENMARK and the IgCC for Fire Safety Objectives -- References Environmental concerns and advances in architectural technologies have lead to a greater number of green buildings or buildings with green, eco-friendly elements. However, from a practical standpoint, there is no incident reporting system in the world that tracks data on fire incidents in green buildings. Fire safety objectives are not explicitly considered in most green rating schemes, and green design features have been associated with photovoltaic panels and roof materials, lightweight timber frame buildings, and combustible insulation materials. Fire Safety Challenges of Green Buildings is Poole, Brandon Echeverria, Juan Cheng, Raymond 9781461481416 print version oai:cds.cern.ch:2212549 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1398517 ebook ebook EBL Fire extinction EBL201609 Engineering SzGeCERN BOOK n 201635 201609 21 PUBLIC BOOK DELETED 2212356 SzGeCERN 20170819023013.0 DOI 10.1093/mnras/stw2378 oai:arXiv.org:1609.00097 http://export.arxiv.org/oai2 2016-09-28 2016-09-29T05:15:13Z arXiv true arXiv arXiv:1609.00097 eng Baba, Junichi Eventful Evolution of Giant Molecular Clouds in Dynamically Evolving Spiral Arms 2016 31 Aug 2016 19 p Comments: 19 pages, 16 figures. Submitted Comments: 19 pages, 16 figures. Accepted for publication in MNRAS arXiv The formation and evolution of giant molecular clouds (GMCs) in spiral galaxies have been investigated in the traditional framework of the combined quasi-stationary density wave and galactic shock model. However, our understanding of the dynamics of spiral arms is changing from the traditional spiral model to a dynamically evolving spiral model. In this study, we investigate the structure and evolution of GMCs in a dynamically evolving spiral arm using a three-dimensional N-body/hydrodynamic simulation of a barred spiral galaxy at parsec-scale resolution. This simulation incorporated self-gravity, molecular hydrogen formation, radiative cooling, heating due to interstellar far-ultraviolet radiation, and stellar feedback by both HII regions and Type-II supernovae. In contrast to a simple expectation based on the traditional spiral model, the GMCs exhibited no systematic evolutionary sequence across the spiral arm. Our simulation showed that the GMCs behaved as highly dynamic objects with eventful lives involving collisional build-up, collision-induced star formation, and destruction via stellar feedback. The GMC lifetimes were predicted to be short, only a few tens of millions years. We also found that, at least at the resolutions and with the feedback models used in this study, most of the GMCs without HII regions were collapsing, but half of the GMCs with HII regions were expanding owing to the HII-region feedback from stars within them. Our results support the dynamic and feedback-regulated GMC evolution scenario. Although the simulated GMCs were converging rather than virial equilibrium, they followed the observed scaling relationship well. We also analysed the effects of galactic tides and external pressure on GMC evolution and suggested that GMCs cannot be regarded as isolated systems since their evolution in disc galaxies is complicated because of these environmental effects. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Morokuma-Matsui, Kana Saitoh, Takayuki R http://arxiv.org/pdf/1609.00097.pdf Preprint n 201635 11 PREPRINT Hidden 2211855 SzGeCERN 20170819023008.0 oai:arXiv.org:1608.08620 http://export.arxiv.org/oai2 2016-08-31 2016-09-01T05:15:15Z arXiv true arXiv arXiv:1608.08620 eng Meadows, Victoria S The Habitability of Proxima Centauri b: II: Environmental States and Observational Discriminants 2016 30 Aug 2016 93 p Comments: 93 pages, 36 figures, 3 tables. Submitted to Astrobiology Proxima Centauri b provides an unprecedented opportunity to understand the evolution and nature of terrestrial planets orbiting M dwarfs. Although Proxima Cen b orbits within its star's habitable zone, multiple plausible evolutionary paths could have generated different environments that may or may not be habitable. Here we use 1D coupled climate-photochemical models to generate self-consistent atmospheres for evolutionary scenarios predicted in our companion paper (Barnes et al., 2016). These include high-O2, high-CO2, and more Earth-like atmospheres, with either oxidizing or reducing compositions. We show that these modeled environments can be habitable or uninhabitable at Proxima Cen b's position in the habitable zone. We use radiative transfer models to generate synthetic spectra and thermal phase curves for these simulated environments, and instrument models to explore our ability to discriminate between possible planetary states. These results are applicable not only to Proxima Cen b, but to other terrestrial planets orbiting M dwarfs. Thermal phase curves may provide the first constraint on the existence of an atmosphere, and JWST observations longward of 7 microns could characterize atmospheric heat transport and molecular composition. Detection of ocean glint is unlikely with JWST, but may be within the reach of larger aperture telescopes. Direct imaging spectra may detect O4, which is diagnostic of massive water loss and O2 retention, rather than a photosynthesis. Similarly, strong CO2 and CO bands at wavelengths shortward of 2.5 {\mu}m would indicate a CO2-dominated atmosphere. If the planet is habitable and volatile-rich, direct imaging will be the best means of detecting habitability. Earth-like planets with microbial biospheres may be identified by the presence of CH4 and either photosynthetically produced O2 or a hydrocarbon haze layer. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.EP LANL EDS Arney, Giada N Schwieterman, Edward W Lustig-Yaeger, Jacob Lincowski, Andrew P Robinson, Tyler Domagal-Goldman, Shawn D Barnes, Rory K Fleming, David P Deitrick, Russell Luger, Rodrigo Driscoll, Peter E Quinn, Thomas R Crisp, David http://arxiv.org/pdf/1608.08620.pdf Preprint n 201635 11 PREPRINT Hidden 2228399 SzGeCERN 20170819033623.0 oai:arXiv.org:1610.09291 http://export.arxiv.org/oai2 2016-10-31 2016-10-31T06:15:08Z arXiv true arXiv arXiv:1610.09291 eng Tan, Baolin Very Long-period Pulsations before the Onset of Solar Flares 2016 28 Oct 2016 9 p Comments: 9 pages, 3 figures, 1 table, accepted by ApJ Solar flares are the most powerful explosions occurring in the solar system, which may lead to disastrous space weather events and impact various aspects of our Earth. So far, it is still a big challenge in modern astrophysics to understand the origin of solar flares and predict their onset. Based on the analysis of soft X-ray emission observed by the Geostationary Operational Environmental Satellite (GOES), this work reported a new discovery of very long-periodic pulsations occurred in the preflare phase before the onset of solar flares (preflare-VLPs). These pulsations are typically with period of 8 - 30 min and last for about 1 - 2 hours. They are possibly generated from LRC oscillations of plasma loops where electric current dominates the physical process during magnetic energy accumulation in the source region. The preflare-VLP provides an essential information for understanding the triggering mechanism and origin of solar flares, and may help us to response to solar explosions and the corresponding disastrous space weather events as a convenient precursory indicator. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.SR LANL EDS Yu, Zhiqiang Huang, Jing Tan, Chengming Zhang, Yin http://arxiv.org/pdf/1610.09291.pdf Preprint n 201644 11 PREPRINT Hidden 2227780 SzGeCERN 20170819033614.0 oai:arXiv.org:1610.08058 http://export.arxiv.org/oai2 2016-10-27 2016-10-27T05:15:11Z arXiv true arXiv arXiv:1610.08058 eng Nantais, Julie B Evidence for strong evolution in galaxy environmental quenching efficiency between z = 1.6 and z = 0.9 2016 25 Oct 2016 5 p Comments: 5 pages, 2 figures, accepted for MNRAS Letters We analyse the evolution of environmental quenching efficiency, the fraction of quenched cluster galaxies that would be star-forming if they were in the field, as a function of redshift in 14 spectroscopically confirmed galaxy clusters with 0.87 < z < 1.63 from the Spitzer Adaptation of the Red-Sequence Cluster Survey (SpARCS). The clusters are the richest in the survey at each redshift. Passive fractions rise from $42_{-13}^{+10}$\% at z ~ 1.6 to $80_{-9}^{+12}$\% at z ~ 1.3 and $88_{-3}^{+4}$\% at z < 1.1, outpacing the change in passive fraction in the field. Environmental quenching efficiency rises dramatically from $16_{-19}^{+15}$ at z ~ 1.6 to $62_{-15}^{+21}\% at z ~ 1.3 and $73_{-7}^{+8}$\% at z $\lesssim$ 1.1. This work is the first to show direct observational evidence for a rapid increase in the strength of environmental quenching in galaxy clusters at z ~ 1.5, where simulations show cluster-mass halos undergo non-linear collapse and virialisation. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Muzzin, Adam van der Burg, Remco F J Wilson, Gillian Lidman, Chris Foltz, Ryan DeGroot, Andrew Noble, Allison Cooper, Michael C Demarco, Ricardo http://arxiv.org/pdf/1610.08058.pdf Preprint n 201643 11 PREPRINT Hidden 2227300 SzGeCERN 20170819033606.0 oai:arXiv.org:1610.06932 http://export.arxiv.org/oai2 2016-10-25 2016-10-26T05:15:08Z arXiv true arXiv arXiv:1610.06932 eng Stark, David V The RESOLVE Survey Atomic Gas Census and Environmental Influences on Galaxy Gas Reservoirs 2016 21 Oct 2016 24 p Comments: 24 pages, 13 figures, accepted for publication in ApJ, data tables available at http://resolve.astro.unc.edu/pages/database.php We present the HI mass inventory for the RESOLVE survey, a volume-limited, multi-wavelength census of >1500 z=0 galaxies spanning diverse environments and complete in baryonic mass down to dwarfs of 10^9 Msun. This first 21cm data release provides robust detections or strong upper limits (1.4M_HI < 5 to 10% of stellar mass M_stars) for 94% of RESOLVE. We examine global atomic gas-to-stellar mass ratios (G/S) in relation to galaxy environment using several metrics: group dark matter halo mass M_h , central/satellite designation, relative mass density of the cosmic web, and distance to nearest massive group. We find that at fixed M_stars, satellites have decreasing G/S with increasing M_h starting clearly at M_h = 10^12 Msun, suggesting the presence of starvation and/or stripping mechanisms associated with halo gas heating in intermediate-mass groups. The analogous relationship for centrals is uncertain because halo abundance matching builds in relationships between central G/S, stellar mass, and halo mass, which depend on the integrated group property used as a proxy for halo mass (stellar or baryonic mass). On larger scales G/S trends are less sensitive to the abundance matching method. At fixed M_h < 10^12 Msun, the fraction of gas-poor centrals increases with large-scale structure density. In overdense regions, we identify a rare population of gas-poor centrals in low-mass (M_h < 10^11.4 Msun) halos primarily located within 1.5 times the virial radius of more massive (M_h > 10^12 Msun) halos, suggesting that gas stripping and/or starvation may be induced by interactions with larger halos or the surrounding cosmic web. We find that the detailed relationship between G/S and environment varies when we examine different subvolumes of RESOLVE independently, which we suggest may be a signature of assembly bias. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Kannappan, Sheila J Eckert, Kathleen D Florez, Jonathan Hall, Kirsten R Watson, Linda C Hoversten, Erik A Burchett, Joseph N Guynn, David T Baker, Ashley D Moffett, Amanda J Berlind, Andreas A Norris, Mark A Haynes, Martha P Giovanelli, Riccardo Leroy, Adam K Pisano, D J Wei, Lisa H Gonzalez, Roberto E Calderon, Victor F http://arxiv.org/pdf/1610.06932.pdf Preprint n 201643 11 PREPRINT Hidden 2227131 SzGeCERN 20170220105104.0 oai:cds.cern.ch:2227131 cerncds:FULLTEXT AIDA-2020-MS33 eng Stanitzki, M. DESY Environmental control system hardware installed 2016 Geneva CERN 2016-10-24 AIDA-2020 33 FP7 654168 AIDA-2020 openAccess CERN Invenio WebSubmit GENEU 0.1 CDS Detectors and Experimental Techniques SzGeCERN 15: Upgrade of beam and irradiation test infrastructure AIDA-2020 WP AIDA-2020 AIDA-2020MIL Gadow, K. DESY 1251015 406428 http://cds.cern.ch/record/2227131/files/AIDA-2020-MS33.pdf 1251015 11444 http://cds.cern.ch/record/2227131/files/AIDA-2020-MS33.jpg?subformat=icon- icon- 1251015 2364309 http://cds.cern.ch/record/2227131/files/AIDA-2020-MS33.pdf?subformat=pdfa pdfa 1251015 7103 http://cds.cern.ch/record/2227131/files/AIDA-2020-MS33.gif?subformat=icon icon livia.lapadatescu@cern.ch PUBLIC MILESTONE AIDA-2020 2226951 SzGeCERN 20171103220939.0 oai:arXiv.org:1610.06652 http://export.arxiv.org/oai2 2016-10-24 2016-10-24T05:18:28Z arXiv true arXiv arXiv:1610.06652 eng Chakraborty, Subhadeep Sarma, Amarendra K http://arxiv.org/pdf/1610.06652.pdf Preprint n 201643 Highly enhanced steady-state optomechanical entanglement via cross-Kerr nonlinearity 20 Oct 2016 mult. p We study steady-state optomechanical entanglement in presence of an additional cross-Kerr coupling between the optical and mechanical mode. We find that a significant enhancement of the steady-state entanglement can be achieved at a considerably lower driving power, which is also extremely robust with respect to system parameters and environmental temperature. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv General Theoretical Physics arXiv physics.optics LANL EDS quant-ph LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2226644 SzGeCERN 20170819033601.0 oai:arXiv.org:1610.06216 http://export.arxiv.org/oai2 2016-10-21 2016-10-22T05:15:06Z arXiv true arXiv arXiv:1610.06216 eng Stefansson, Gudmundur A Versatile Technique to Enable sub-milli-Kelvin Instrument Stability for Precise Radial Velocity Measurements: Tests with the Habitable-zone Planet Finder 2016 19 Oct 2016 16 p Comments: Accepted for publication in ApJ. 16 pages, 10 figures. For a publicly available SolidWorks model of the HPF ECS, see https://scholarsphere.psu.edu/files/7p88cg66f Insufficient instrument thermo-mechanical stability is one of the many roadblocks for achieving 10cm/s Doppler radial velocity (RV) precision, the precision needed to detect Earth-twins orbiting Solar-type stars. Highly temperature and pressure stabilized spectrographs allow us to better calibrate out instrumental drifts, thereby helping in distinguishing instrumental noise from astrophysical stellar signals. We present the design and performance of the Environmental Control System (ECS) for the Habitable-zone Planet Finder (HPF), a high-resolution (R=50,000) fiber-fed near infrared (NIR) spectrograph for the 10m Hobby Eberly Telescope at McDonald Observatory. HPF will operate at 180K, driven by the choice of an H2RG NIR detector array with a 1.7micron cutoff. This ECS has demonstrated 0.6mK RMS stability over 15 days at both 180K and 300K, and maintained high quality vacuum (<$10^{-7}$Torr) over months, during long-term stability tests conducted without a planned passive thermal enclosure surrounding the vacuum chamber. This control scheme is versatile and can be applied as a blueprint to stabilize future NIR and optical high precision Doppler instruments over a wide temperature range from ~77K to elevated room temperatures. A similar ECS is being implemented to stabilize NEID, the NASA/NSF NN-EXPLORE spectrograph for the 3.5m WIYN telescope at Kitt Peak, operating at 300K. A full SolidWorks 3D-CAD model and a comprehensive parts list of the HPF ECS are included with this manuscript to facilitate the adaptation of this versatile environmental control scheme in the broader astronomical community. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv Astrophysics and Astronomy arXiv PREPRINT astro-ph.IM LANL EDS astro-ph.EP LANL EDS Hearty, Frederick Robertson, Paul Mahadevan, Suvrath Anderson, Tyler Levi, Eric Bender, Chad Nelson, Matthew Monson, Andrew Blank, Basil Halverson, Samuel Henderson, Chuck Ramsey, Lawrence Roy, Arpita Schwab, Christian Terrien, Ryan http://arxiv.org/pdf/1610.06216.pdf Preprint n 201642 11 PREPRINT Hidden 2226400 SzGeCERN 20171106201604.0 oai:arXiv.org:1610.06116 http://export.arxiv.org/oai2 2016-10-20 2016-10-20T05:22:28Z arXiv true arXiv arXiv:1610.06116 eng Gray, Harrison J Tucker, Gregory E Mahan, Shannon A McGuire, Chris Rhodes, Edward J http://arxiv.org/pdf/1610.06116.pdf Preprint n 201642 On extracting sediment transport information from measurements of luminescence in river sediment 19 Oct 2016 Accurately quantifying sediment transport rates in rivers remains an important goal for geomorphologists, hydraulic engineers, and environmental scientists. However, current techniques for measuring transport rates are laborious, and formulae to predict transport are notoriously inaccurate. Here, we attempt to estimate sediment transport rates using luminescence, a property of common sedimentary minerals that is used by the geoscience community for geochronology. This method is advantageous because of the ease of measurement on ubiquitous quartz and feldspar sand. We develop a model based on conservation of energy and sediment mass to explain the patterns of luminescence in river channel sediment from a first-principles perspective. We show that the model can accurately reproduce the luminescence observed in previously published field measurements from two rivers with very different sediment transport styles. The parameters from the model can then be used to estimate the time-averaged virtual velocity, characteristic transport lengthscales, storage timescales, and floodplain exchange rates of fine sand-sized sediment in a fluvial system. The values obtained from the luminescence method appear to fall within expected ranges based on published compilations. However, caution is warranted when applying the model as the complex nature of sediment transport can sometimes invalidate underlying simplifications. Comments: Submitted and in review at the Journal of Geophysical Research - Earth Surface http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv physics.geo-ph LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2226397 SzGeCERN 20171103140547.0 oai:arXiv.org:1610.06064 http://export.arxiv.org/oai2 2016-10-20 2016-10-20T05:22:28Z arXiv true arXiv arXiv:1610.06064 eng Lu, Dan School of Reliability and Systems Engineering, Beihang University, Beijing, China Yang, Shunkun School of Reliability and Systems Engineering, Beihang University, Beijing, China Zhang, Jiaquan School of Reliability and Systems Engineering, Beihang University, Beijing, China Wang, Huijuan Intelligent Systems, Delft University of Technology, Delft, Zuid-Holland, Netherlands Li, Daqing School of Reliability and Systems Engineering, Beihang University, Beijing, China Science and Technology on Reliability and Environmental Engineering Laboratory, Beijing, China http://arxiv.org/pdf/1610.06064.pdf Preprint n 201642 Resilience of epidemics on networks 15 Oct 2016 10 p Epidemic propagation on complex networks has been widely investigated, mostly with invariant parameters. However, the process of epidemic propagation is not always constant. Epidemics can be affected by various perturbations, and may bounce back to its original state, which is considered resilient. Here, we study the resilience of epidemics on networks, by introducing a different infection rate ${\lambda_{2}}$ during SIS (susceptible-infected-susceptible) epidemic propagation to model perturbations (control state), whereas the infection rate is ${\lambda_{1}}$ in the rest of time. Through simulations and theoretical analysis, we find that even for ${\lambda_{2}<\lambda_{c}}$, epidemics eventually could bounce back if control duration is below a threshold. This critical control time for epidemic resilience, i.e., ${cd_{max}}$ can be predicted by the diameter (${d}$) of the underlying network, with the quantitative relation ${cd_{max}\sim d^{\alpha}}$. Our findings can help to design a better mitigation strategy for epidemics. Comments: 10 pages, 5 figures http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv cs.SI arXiv Other Fields of Physics arXiv physics.soc-ph LANL EDS cs.SI LANL EDS physics.data-an LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2226043 20250515231425.0 oai:cds.cern.ch:2226043 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN Inspire 1503544 CERN-THESIS-2016-124 eng AUTHOR|(CDS)2097588 AUTHOR|(SzGeCERN)770856 Bianchi, Antonio antonio.bianchi@cern.ch INFN, Turin Characterization of gaseous detectors at the CERN Gamma Irradiation Facility: GEM performance in presence of high background radiation 112 p Presented 18 Oct 2016 Master INFN, Turin 2016-10-07 Muon detection is an efficient tool to recognize interesting physics events over the high background rate expected at the Large Hadron Collider (LHC) at CERN. The muon systems of the LHC experiments are based on gaseous ionization detectors. In view of the High-Luminosity LHC (HL-LHC) upgrade program, the increasing of background radiation could affect the gaseous detector performance, especially decreasing the efficiency and shortening the lifetime through ageing processes. The effects of charge multiplication, materials and gas composition on the ageing of gaseous detectors have been studied for decades, but the future upgrade of LHC requires additional studies on this topic. At the CERN Gamma Irradiation Facility (GIF++), a radioactive source of cesium-137 with an activity of 14 TBq is used to reproduce reasonably well the expected background radiation at HL-LHC. A muon beam has been made available to study detector performance. The characterization of the beam trigger will be discussed in the present work. GIF++ allows to carry out accelerated ageing tests on gaseous detectors. The R&D studies, discussed in this thesis, are focused on the performance of a triple gas electron multiplier (triple-GEM detector) under gas recirculation in presence of high background radiation at GIF++. A purifier module is used inside the gas system to remove pollutants from the gas mixture. Several studies of stability and reliability can be carried out with different gas mixtures and recirculation fractions. Indeed in gaseous detectors, the ageing effects involve a progressive degradation of the performance. Several processes in gas mixture can lead to ageing phenomena, such as dissociation, polymerization and etching. Unwanted pollutants, due to the outgassing of materials, can contaminate the gas mixture. Furthermore the combined action of electric field, charge multiplication and high background radiation might produce contaminations, which can decrease the lifetime of gaseous detectors by many orders of magnitude. In a first step, the triple-GEM detector and two single wire proportional chambers, used for the gas mixture monitoring in the recirculation system, have been characterized in laboratory. Afterwards they have been installed at GIF++ and the triple-GEM has been irradiated with the cesium-137 source. A data acquisition system has been developed for monitoring the performance of triple-GEM detector and the environmental parameters of the system, which might affect the detector response. The effects of some common pollutants have been simulated with GARFIELD++ software to evaluate the performance of triple-GEM detector with different gas mixtures, in particular Ar/CO2 and Ar/CO2/CF4 in different compositions. CERN Technical Student Program CERN EDS SzGeCERN Detectors and Experimental Techniques CERN THESIS CERN LHC CMS Not applicable CERN SPS H4 EP 1250450 17142444 http://cds.cern.ch/record/2226043/files/CERN-THESIS-2016-124.pdf Fulltext 1250450 24905072 http://cds.cern.ch/record/2226043/files/CERN-THESIS-2016-124.pdf?subformat=pdfa pdfa antonio.bianchi@cern.ch n 201642 a2016 14 PUBLIC https://repository.cern/legacy/record/2226043 THESIS MIGRATED 2225625 SzGeCERN 20170819033550.0 oai:arXiv.org:1610.04615 http://export.arxiv.org/oai2 2016-10-18 2016-10-18T05:15:12Z arXiv true arXiv arXiv:1610.04615 eng Vulcani, Benedetta School of Physics, University of Melbourne, VIC 3010, Australia The Grism lens-amplified survey from space (GLASS). VIII. The influence of the cluster properties on Halpha emitter galaxies at 0.3<z<0.7 2016 14 Oct 2016 (17 p Comments: submitted to ApJ (17 pages, 10 figures) Exploiting the data of the Grism Lens-Amplified Survey from Space (GLASS), we characterize the spatial distribution of star formation in 76 galaxies in 10 clusters at 0.3< z <0.7. In a companion paper we contrast the properties of field and cluster galaxies, whereas here we correlate the properties of Halpha emitters to a number of tracers of the cluster environment to investigate its role in driving galaxy transformations. Halpha emitters are found in the clusters out to 0.5 virial radii, the maximum radius covered by GLASS. The peak of the Halpha emission is offset with respect to the peak of the UV-continuum. We decompose this offsets into a radial and tangential component. The radial component points away from the cluster center in 60% of the cases, with 95% confidence. The decompositions agree with cosmological simulations, i.e. the Halpha emission offset correlates with galaxy velocity and ram pressure stripping signatures. Our clusters span a wide range of morphologies. Trends between Halpha emitters properties and surface mass density distributions and X-ray emissions emerge only for unrelaxed clusters. The lack of strong correlations with the global environment does not allow us to identify a unique environmental effect originating from the cluster center. In contrast, correlations between Halpha morphology and local number density emerge. We conclude that local effects, uncorrelated to the cluster- centric radius, play a more important role in shaping galaxy properties. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Treu, Tommaso Department of Physics and Astronomy, University of California, Los Angeles, CA, USA 90095-1547 Nipoti, Carlo Department of Physics and Astronomy, Bologna University, viale Berti-Pichat 6/2, I-40127 Bologna, Italy Schmidt, Kasper B Leibniz-Institut für Astrophysik Potsdam Dressler, Alan The Observatories of the Carnegie Institution for Science, 813 Santa Barbara St., Pasadena, CA 91101, USA Morshita, Takahiro Department of Physics and Astronomy, University of California, Los Angeles, CA, USA 90095-1547 Astronomical Institute, Tohoku University, Aramaki, Aoba, Sendai 980-8578, Japan Institute for International Advanced Research and Education, Tohoku University, Aramaki, Aoba, Sendai 980-8578, Japan Poggianti, Bianca M INAF-Astronomical Observatory of Padova, Italy Malkan, Matthew Department of Physics and Astronomy, University of California, Los Angeles, CA, USA 90095-1547 Hoag, Austin Department of Physics, University of California, Davis, CA, 95616, USA Bradač, Marusa Department of Physics, University of California, Davis, CA, 95616, USA Abramson, Louis Department of Physics and Astronomy, University of California, Los Angeles, CA, USA 90095-1547 Trenti, Michele School of Physics, University of Melbourne, VIC 3010, Australia Pentericci, Laura INAF - Osservatorio Astronomico di Roma Via Frascati 33 - 00040 Monte Porzio Catone, I von der Linden, Anja Stony Brook University Department of Physics and Astronomy Stony Brook, NY 11794 Morris, Glenn Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, 452 Lomita Mall, Stanford, CA 94305-4085, USA SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA 94025, USA Wang, Xin Department of Physics and Astronomy, University of California, Los Angeles, CA, USA 90095-1547 http://arxiv.org/pdf/1610.04615.pdf Preprint n 201642 11 PREPRINT Hidden 2225290 SzGeCERN 20170819033549.0 oai:arXiv.org:1610.04515 http://export.arxiv.org/oai2 2016-10-17 2016-10-17T05:15:08Z arXiv true arXiv arXiv:1610.04515 eng Arney, Giada The Pale Orange Dot: The Spectrum and Habitability of Hazy Archean Earth 2016 14 Oct 2016 111 p Comments: 111 pages, 15 figures, 4 tables, accepted for publication in Astrobiology Recognizing whether a planet can support life is a primary goal of future exoplanet spectral characterization missions, but past research on habitability assessment has largely ignored the vastly different conditions that have existed in our planet's long habitable history. This study presents simulations of a habitable yet dramatically different phase of Earth's history, when the atmosphere contained a Titan-like organic-rich haze. Prior work has claimed a haze-rich Archean Earth (3.8-2.5 billion years ago) would be frozen due to the haze's cooling effects. However, no previous studies have self-consistently taken into account climate, photochemistry, and fractal hazes. Here, we demonstrate using coupled climate-photochemical-microphysical simulations that hazes can cool the planet's surface by about 20 K, but habitable conditions with liquid surface water could be maintained with a relatively thick haze layer (tau ~ 5 at 200 nm) even with the fainter young sun. We find that optically thicker hazes are self-limiting due to their self-shielding properties, preventing catastrophic cooling of the planet. Hazes may even enhance planetary habitability through UV shielding, reducing surface UV flux by about 97% compared to a haze-free planet, and potentially allowing survival of land-based organisms 2.6.2.7 billion years ago. The broad UV absorption signature produced by this haze may be visible across interstellar distances, allowing characterization of similar hazy exoplanets. The haze in Archean Earth's atmosphere was strongly dependent on biologically-produced methane, and we propose hydrocarbon haze may be a novel type of spectral biosignature on planets with substantial levels of CO2. Hazy Archean Earth is the most alien world for which we have geochemical constraints on environmental conditions, providing a useful analog for similar habitable, anoxic exoplanets. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.EP LANL EDS Domagal-Goldman, Shawn D Meadows, Victoria S Wolf, Eric T Schwieterman, Edward Charnay, Benjamin Claire, Mark Hébrard, Eric Trainer, Melissa G http://arxiv.org/pdf/1610.04515.pdf Preprint n 201642 11 PREPRINT Hidden 2225188 20170808160252.0 85389 ASTM ASTM-B812-96(2013) DOI 10.1520/B0812 Full text American Society for Testing and Materials. Philadelphia Standard Test Method for Resistance to Environmental Degradation of Electrical Pressure Connections Involving Aluminum and Intended for Residential Applications West Conshohocken, PA ASTM 2013 11 p ASTM201610 Annual Book of ASTM Standards vol.02.04 SzGeCERN Engineering h 201641 21 HIDDEN 2225131 20170808160250.0 88832 ASTM ASTM-B827-05(2014) DOI 10.1520/B0827-05R14 Full text American Society for Testing and Materials. Philadelphia Standard Practice for Conducting Mixed Flowing Gas (MFG) Environmental Tests West Conshohocken, PA ASTM 2014 9 p ASTM201610 Annual Book of ASTM Standards vol.02.04 SzGeCERN Engineering h 201641 21 HIDDEN 2224253 SzGeCERN 20210422083958.0 9783540618874 print version 9783642606120 electronic version electronic version DOI 10.1007/978-3-642-60612-0 e-proceedings oai:cds.cern.ch:2224253 cerncds:CONF eng GA1-1776 910.285 23 19960722 18th International Laser Radar Conference Berlin, Germany 22 - 26 Jul 1996 1996 berlin960726 18 DE ILRC 19960726 Berlin Springer 1997 ebook I Tropospheric Aerosols and Clouds -- II Lidar in Space -- III Wind -- IV Water Vapor -- V Tropospheric Trace Gases and Plumes -- VI Stratospheric and Mesospheric Profiling -- Index of Contributors. Lidar or laser radar, the depth-resolved remote measurement of atmospheric parameters with optical means, has become an important tool in the field of atmospheric and environmental remote sensing. In this volume the latest progress in the development of lidar methods, experiments, and applications is described. The content is based on selected and thoroughly refereed papers presented at the 18th International Laser Radar Conference, Berlin, 22-26 July 1996. The book is divided into six parts which cover the topics of tropospheric aerosols and clouds, lidar in space, wind, water vapor, troposheric trace gases and plumes, and stratospheric and mesospheric profiling. As a supplement to fundamental lidar textbooks this volume may serve as a guide for scientists, engineers, and graduate students through the blossoming field of modern lidar techniques and their contribution to atmospheric and environmental research. Earth and environmental science Previously in Springer P&A SBA collection SPR201610 SzGeCERN Astrophysics and Astronomy SPR Geophysics SPR Atmospheric sciences SPR Geographical information systems SPR Optoelectronics SPR Plasmons (Physics) SPR Geographical Information SystemsCartography SPR Atmospheric Sciences SPR Optics, Optoelectronics, Plasmonics and Optical Devices SPR GeophysicsGeodesy CONFERENCE PROCEEDINGS Ansmann, Albert ed. Neuber, Roland ed. Rairoux, Patrick ed. Wandinger, Ulla ed. Advances in Atmospheric Remote Sensing with Lidar ILRC Acronym SPR n 201641 42 PUBLIC https://catalogue.library.cern/legacy/2224253 PROCEEDINGS MIGRATED 2224247 SzGeCERN 20210422084000.0 9781851667154 print version 9789401136846 electronic version electronic version DOI 10.1007/978-94-011-3684-6 e-proceedings oai:cds.cern.ch:2224247 cerncds:CONF eng TA459-492 620.16 23 Vereecken, Jean European Metals Conference Brussels, Belgium 15 - 20 Sep 1991 1991 brussels910915 BE 19910920 19910915 Dordrecht Springer 1991 ebook Mineral Processing -- Design of non-cyanide technology for flotation of lead-zinc ores: energy prerequisites, implementation and results -- Recovery of gold and silver from plumbojarosite-containing hematite tailings by alkaline pretreatment and cyanidation -- Grinding of the ‘Jales de Santa Julia de la Compañía Real del Monte y Pachuca’, SA de CV, Mexico -- Lead and Tin -- Lead blast-furnace evolution: a new approach -- Das QSL-Verfahren in Stolberg -- Hydrogen reduction of cassiterite concentrates -- Hydrometallurgy -- Ammonium jarosite formation in ferric chloride leaching processes -- Jarosite precipitation during acid pressure leaching of zinc leach residue—application of factorial design and characterization of leach residue -- Selective recovery by precipitation of selenium and mercury from acid leaching solutions -- Bioleaching of complex sulphides with different cultures of mesophilic microorganisms -- Recovery of copper by dump leaching with use of bacteria and cementation at the Vlaikov Vrah mine, Bulgaria -- Ferrite behaviour in the processing of complex copper-zinc sulphide concentrates -- Limitation of lead jarosite formation in the leaching of calcine from high-iron Zn-Pb-Cu concentrates -- Nickel -- Intensification of the reductive-roast ammonia leaching process for nickel lateritic ores -- Ecological pyro-hydrometallurgical technology of nickel pyrrhotite concentrate treatment with non-traditional and reagentless recovery of sulphur dioxide from low concentrated gases -- Treatment of nickeliferous pyrrhotite -- Development of nickel smelting at Jinchuan Nickel Smelter, China -- Extraction of Co(II) and Ni(II) with Cyanex 272 -- Copper -- Technological and technical problems of copper production from chalcosine concentrates in a flash furnace -- Flash technology for converting -- Minor-element behaviour in copper-making -- Electrochemical reductive conversion of chalcopyrite with SO2 -- Recycling -- Automotive exhaust catalysts: PGM usage and recovery -- Recovery of metals from spent catalysts in a DC plasma furnace -- Recovery of rare earths from spent FCC catalysts -- Vibration technique for recovery of non-ferrous, rare and noble metals from secondary raw materials -- Car scrap recycling towards 2000 -- Sekundäraluminium im Automobil—Einsatz und Rückgewinnung -- Les fours tournants dans l’industrie européenne de la récupération des métaux non-ferreux -- The TBRC as a unit with a promising future for secondary copper plants -- Lead and copper recycling in the Boliden Kaldo -- Minor Metals -- Purity and long-term stability of 8-hydroxyquinoline-based metal extractants -- Improved technology for In, Ge and Ga recovery in an electrolytic zinc plant -- Production of molybdic trioxide by high-temperature oxidation of molybdenite in a cyclone reactor -- Trends in the development of processes for recovery of rare metals -- La lixiviation chlorurante d’alliages Fe-Si: une voie d’avenir dans la production du silicium? -- Recovery of vanadium from slags by sulphiding -- Electrolytic reduction of Eu (III) in acidic chloride solutions -- Environment -- Best available technology—a viewpoint on the development and application of the concept to the European non-ferrous industry -- Environmental legislation and advances in tailings disposal technology in North America and Europe -- Contaminated soil treatment technologies -- Recovery of non-ferrous metals from residues of integrated steel works -- Simultaneous microbial removal of sulphate and heavy metals from waste water -- New biological treatment plant for heavy metal contaminated groundwater -- Silver plating from thiosulphate baths -- Use of peroxygens in treating cyanide effluents from gold processing -- Mechanisms of uptake of metal complexes and organics on carbon and resins: their modelling for the design of multi-component adsorption columns -- Light Metals -- Status and challenges for modern aluminium reduction technology -- New approach to acid methods for special alumina production -- Hazelett twin-belt aluminium strip-casting process: caster design and current product programme of aluminium alloy sheet -- Surface engineering of aluminium and its alloys -- Modelling -- Time-dependent simulation of Czochralski growth: application to the production of germanium crystals -- Steady-state self-regulating simulation model applied to design of a new hydrometallurgical process for recovery of non-ferrous metals -- Modelling in a Pachuca tank—flow and mixing phenomena. This volume contains the papers that will be presented at 'EMC '91 '-the European Metals Conference-to be held in Brussels, Belgium, from 15 to 20 September 1991, and organized by Benelux Metallurgie, GDMB (Gesellschaft Deutscher Metallhutten­ und Bergleute) and IMM (the Institution of Mining and Metallurgy). 'EMC '91' is the first of an intended major series organized at the European level with the aim of bringing together all those who are involved with the extraction and processing of non-ferrous metals-European metallurgists and their international colleagues-to provide them with the opportunity to exchange views on the state and evolution of their industry. The programme covers all the different aspects of the metallurgy of non-ferrous metals from mining to fabricated products. Particular attention is being paid to the European non -ferrous industry with respect to changes in demand, the technology used, pressures on the environment and the competitive position of manufacturers. The contributions of the plenary lecturers (copies of which will appear in the IMM journal Minerals Industry International in 1991-92) and the many authors are gratefully acknowledged. Thanks are also due to the referees of the papers, the sponsors, the companies that have allowed registrants to visit their operations, the chairmen of the technical sessions and the staffs of the organizing bodies for their efficient administrative work. Jean Vereecken Chairman, Organizing Committee July 1991 v Contents Foreword. . . . . . . . . . . . . . . . . . . . .. . . v . Chemistry and materials science Previously in Springer P&A SBA collection SPR201610 SzGeCERN Engineering PROCEEDINGS CONFERENCE EMC ’91 : non-ferrous metallurgy : present and future SPR n 201641 42 PUBLIC https://catalogue.library.cern/legacy/2224247 PROCEEDINGS MIGRATED 2224021 SzGeCERN 20170819033539.0 oai:arXiv.org:1610.03500 http://export.arxiv.org/oai2 2016-10-13 2016-10-13T05:15:10Z arXiv true arXiv arXiv:1610.03500 eng Almeida, L A The Tarantula Massive Binary Monitoring: I. Observational campaign and OB-type spectroscopic binaries 2016 11 Oct 2016 37 p Comments: 37 pages, 19 figures, 10 tables, submitted to A\&A Massive binaries (MBs) play a crucial role in the Universe and knowing the distributions of their orbital parameters (OPs) is important for a wide range of topics, from stellar feedback to binary evolution channels, from the distribution of supernova types to gravitational wave progenitors. Yet, no direct measurements exist outside the Milky Way. The Tarantula Massive Binary Monitoring was designed to help fill this gap by obtaining multi-epoch radial velocity monitoring of 102 MBs in the 30 Dor. In this paper, we analyse 32 FLAMES/GIRAFFE observations of 93 O- and 7 B-type binaries. We performed a Fourier analysis and obtained orbital solutions for 82 systems: 51 single-lined and 31 double-lined spectroscopic binaries. Overall, the OPs and binary fraction are remarkably similar across the 30 Dor region and compared to existing Galactic samples (GSs). This indicates that within these domains environmental effects are of second order in shaping the properties of MBs. A small difference is found in the distribution of orbital periods (OrbPs), which is slightly flatter (in log space) in 30 Dor than in the Galaxy, although this may be compatible within error estimates and differences in the fitting methodology. Also, OrbPs in 30 Dor can be as short as 1.1 d; somewhat shorter than seen in GSs. Equal mass binaries q>0.95 in 30 Dor are all found outside NGC 2070 the very young and massive cluster at 30 Dor's core. One outstanding exception however is the fact that earliest spectral types tend to have shorter OrbPs than latter ones. Our results point to a relative universality of the incidence rate of MBs and their OPs in the metallicity range from solar ($Z_{\odot}$) to about $0.5Z_{\odot}$. This provides the first direct constraints on MB properties in massive star-forming galaxies at the Universes peak of star formation at redshifts z~1 to 2, which are estimated to have $Z\sim0.5Z_{\odot}$. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.SR LANL EDS Sana, H Taylor, W Barbá, R Bonanos, A Crowther, P Damineli, A de Koter, A de Mink, S E Evans, C J Gieles, M Grin, N J Hénault-Brunet, V Langer, N Lennon, D Lockwood, S Apellániz, J Maíz Moffat, A F J Neijssel, C Norman, C Ramírez-Agudelo, O H Richardson, N D Schootemeijer, A Shenar, T Soszyński, I Tramper, F Vink, J S http://arxiv.org/pdf/1610.03500.pdf Preprint n 201641 11 PREPRINT Hidden 2223969 SzGeCERN 20170819033535.0 oai:arXiv.org:1610.03101 http://export.arxiv.org/oai2 2016-10-12 2016-10-13T05:15:10Z arXiv true arXiv arXiv:1610.03101 eng Renaud, Florent The origin of the Milky Way globular clusters 2016 10 Oct 2016 Comments: submitted to MNRAS We present a cosmological zoom-in simulation of a Milky Way-like galaxy used to explore the formation and evolution of star clusters. We investigate in particular the origin of the bimodality observed in the colour and metallicity of globular clusters, and the environmental evolution through cosmic times in the form of tidal tensors. Our results self-consistently confirm previous findings that the blue, metal-poor clusters form in satellite galaxies which are accreted onto the Milky Way, while the red, metal-rich clusters form mostly in situ or, to a lower extent in massive, self-enriched galaxies merging with the Milky Way. By monitoring the tidal fields these populations experience, we find that clusters formed in situ (generally centrally concentrated) feel significantly stronger tides than the accreted ones, both in the present-day, and when averaged over their entire life. Furthermore, we note that the tidal field experienced by Milky Way clusters is significantly weaker in the past than at present-day, confirming that it is unlikely that a power-law cluster initial mass function like that of young massive clusters, is transformed into the observed peaked distribution in the Milky Way with relaxation-driven evaporation in a tidal field. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Agertz, Oscar Gieles, Mark http://arxiv.org/pdf/1610.03101.pdf Preprint n 201641 11 PREPRINT Hidden 2223008 SzGeCERN 20170819033524.0 oai:arXiv.org:1610.01936 http://export.arxiv.org/oai2 2016-10-07 2016-10-08T05:15:09Z arXiv true arXiv Inspire 1490010 arXiv:1610.01936 eng Woods, Thomas N New Solar Irradiance Measurements from the Miniature X-Ray Solar Spectrometer CubeSat 2016 06 Oct 2016 text p Comments: Submitted to The Astrophysical Journal Letters (30 September 2016); 8 text pages, 3 figures The goal of the Miniature X-ray Solar Spectrometer (MinXSS) CubeSat is to explore the energy distribution of soft X-ray (SXR) emissions from the quiescent Sun, active regions, and during solar flares, and to model the impact on Earth's ionosphere and thermosphere. The energy emitted in the SXR range (0.1 to 10 keV) can vary by more than a factor of 100, yet we have limited spectral measurements in the SXRs to accurately quantify the spectral dependence of this variability. The MinXSS primary science instrument is an Amptek, Inc. X123 X-ray spectrometer that has an energy range of 0.5-30 keV with a nominal 0.15 keV energy resolution. Two flight models have been built. The first, MinXSS-1, has been making science observations since 2016 June 9, and has observed numerous flares, including 40 C-class and 7 M-class flares. These SXR spectral measurements have advantages over broadband SXR observations, such as providing the capability to derive multiple-temperature components and elemental abundances of coronal plasma, improved irradiance accuracy, and higher resolution spectral irradiance as input to planetary ionosphere simulations. MinXSS spectra obtained during the M5.0 flare on 2016 July 23 highlight these advantages, and indicate how the elemental abundance changes from primarily coronal to more photospheric during the flare. MinXSS-1 observations are compared to the Geostationary Operational Environmental Satellite (GOES) X-Ray Sensor (XRS) measurements of SXR irradiance and estimated corona temperature. Additionally, a suggested improvement to the calibration of the GOES XRS data is presented. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv Astrophysics and Astronomy arXiv Astrophysics and Astronomy arXiv Other Fields of Physics arXiv PREPRINT astro-ph.SR LANL EDS astro-ph.HE LANL EDS astro-ph.IM LANL EDS physics.space-ph LANL EDS Caspi, Amir Chamberlin, Phillip C Jones, Andrew Kohnert, Richard Mason, James Paul Moore, Christopher S Palo, Scott Rouleau, Colden Solomon, Stanley C Machol, Janet Viereck, Rodney http://arxiv.org/pdf/1610.01936.pdf Preprint n 201640 11 PREPRINT Hidden 2222921 SzGeCERN 20170819033518.0 oai:arXiv.org:1610.01363 http://export.arxiv.org/oai2 2016-10-06 2016-10-08T05:15:09Z arXiv true arXiv Inspire 1489680 arXiv:1610.01363 eng Diebold, S Actuator Development at IAAT for the Cherenkov Telescope Array Medium Size Telescopes 2016 05 Oct 2016 Comments: Contribution to the 6th International Symposium on High Energy Gamma-Ray Astronomy (Gamma2016), July 11-15, 2016, Heidelberg, Germany. To be published in the AIP Conference Proceedings The Cherenkov Telescope Array (CTA) will be the future observatory for TeV gamma-ray astronomy. In order to increase the sensitivity and to extend the energy coverage beyond the capabilities of current facilities, its design concept features telescopes of three different size classes. Based on the experience from H.E.S.S. phase II, the Institute for Astronomy and Astrophysics T\"ubingen (IAAT) develops actuators for the mirror control system of the CTA Medium Size Telescopes (MSTs). The goals of this effort are durability, high precision, and mechanical stability under all environmental conditions. Up to now, several revisions were developed and the corresponding prototypes were extensively tested. In this contribution our latest design revision proposed for the CTA MSTs are presented. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv giva a faire LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.IM LANL EDS Dick, J Pühlhofer, G Renner, S Santangelo, A Schanz, T Tenzer, C http://arxiv.org/pdf/1610.01363.pdf Preprint n 201640 11 Comments: Contribution to the 6th International Symposium on High Energy Gamma-Ray Astronomy (Gamma2016), July 11-15, 2016, Heidelberg, Germany. To be published in the AIP Conference Proceedings PREPRINT Hidden 2222808 SzGeCERN 20161107231544.0 9781315355894 419.93 (NL),349.94 (3U),279.95 (1U) electronic version EBL 4694442 eng 621.89 Sharma, Brajendra K Environmentally friendly and biobased lubricants Milton CRC Press 2016 579 p Biresaw, Girma 9781482232028 print version oai:cds.cern.ch:2222808 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4694442 ebook ebook EBL201610 Engineering SzGeCERN BOOK n 201640 201610 21 PUBLIC BOOK DELETED 2222806 SzGeCERN 20200610213319.0 9781498714952 print version 9781498714969 electronic version 299.93 (NL),249.94 (3U),199.95 (1U) electronic version oai:cds.cern.ch:2222806 cerncds:BOOK EBL 4694265 eng 621.3815 Lautaro Fernandez-Canque, Hernando Analog electronics applications fundamentals of design and analysis Milton CRC Press 2016 432 p Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Acknowledgments -- Author -- 1. Analog Electronics Applications and Design -- 1.1. Introduction to Analog Electronics -- 1.2. Analog Signals -- 1.3. Analog Systems -- 1.4. Application and Design of Analog Systems -- 1.4.1. Customer Requirements -- 1.4.2. Top-Level Specifications -- 1.4.3. System Design Approach -- 1.4.3.1. Top-Level Design -- 1.4.3.2. Detailed Design -- 1.4.4. Technology Choice -- 1.4.4.1. System Testing -- 1.4.4.2. Social and Environmental Implications -- 1.4.4.3. Documentation 1.4.5. Distortion and Noise -- 1.4.5.1. Noise -- 1.4.5.2. Distortion -- 1.4.6. Electronic Design Aids -- 1.5. Key Points -- 2. Electric Circuits -- 2.1. Introduction -- 2.2. Units -- 2.2.1. Unit of Charge -- 2.2.2. Unit of Force -- 2.2.3. Unit of Energy -- 2.2.4. Unit of Power -- 2.2.5. Unit of Electric Voltage -- 2.2.6. Unit of Resistance and Conductance -- 2.3. Concept of Electric Charge and Current -- 2.4. Movement of Electrons and Electric Current in a Circuit -- 2.4.1. Circuit -- 2.4.2. Electromotive Force -- 2.4.3. Source -- 2.4.4. Load 2.5. Passive Components: Resistance, Inductance, and Capacitance -- 2.5.1. Resistance -- 2.5.1.1. Resistors Connected in Series and Parallel -- 2.5.1.2. Resistors Connected in Series -- 2.5.1.3. Resistor Connected in Parallel -- 2.5.1.4. Special Case -- 2.5.2. Capacitance -- 2.5.2.1. Capacitors in Parallel -- 2.5.2.2. Capacitors in Series -- 2.5.3. Inductors -- 2.5.3.1. Inductors in Series -- 2.5.3.2. Inductors in Parallel -- 2.5.3.3. Energy Storage W in an Inductor -- 2.5.4. Application: Inductive Proximity Sensors -- 2.6. Active Components of a Circuit: Sources -- 2.6.1. Ideal Voltage Source 2.6.2. Practical Voltage Source -- 2.6.3. Voltage Sources Connected in Series -- 2.6.4. Voltage Sources Connected in Parallel -- 2.6.4.1. Ideal Current Source -- 2.6.4.2. Practical Current Source -- 2.7. Electric Circuits/Networks -- 2.7.1. Selection of Components -- 2.8. Key Points -- 3. Circuit Analysis -- 3.1. Concept of Steady State and Transient Solutions -- 3.2. DC Circuits -- 3.2.1. Kirchhoff's Current Law Applied to Electric Circuits: KCL -- 3.2.2. Kirchhoff's Voltage Law Applied to Electric Circuits: KVL -- 3.2.2.1. The Voltage and Current Divider -- 3.3. AC Circuits 3.3.1. Origin of Phasor Domain -- 3.3.2. Application of Kirchhoff's Law to ac Circuits -- 3.3.2.1. Impedance Z -- 3.3.2.2. Impedance of an Inductor -- 3.3.2.3. Impedance of a Capacitance -- 3.3.2.4. Impedance of a Resistance -- 3.3.2.5. Reactance X -- 3.3.2.6. Polar-Cartesian Forms -- 3.3.2.7. Cartesian to Polar Form -- 3.3.2.8. Polar to Cartesian -- 3.3.2.9. Phasor Diagrams -- 3.4. Key Points -- 4. Diodes -- 4.1. Introduction -- 4.2. Semiconductor Material -- 4.2.1. Conductivity and Energy Bands in Semiconductors -- 4.2.2. Doping -- 4.3 .p-n Junction 4.4. Diode Current-Voltage Characteristics I-V https://cds.cern.ch/auth.py?r=EBLIB_P_4694265 ebook ebook EBL201610 Engineering SzGeCERN BOOK n 201640 201610 21 PUBLIC BOOK DELETED 2222491 SzGeCERN 20190713224557.0 9780819496096 217.5 (NL),326.25 (UA),271.88 (3U),217.5 (1U) electronic version EBL 1562738 eng TK8304 -- .W66 2013eb 621.3815/2 Razeghi, Manijeh Wonder of nanotechnology quantum optoelectronic devices and applications Bellingham Society of Photo-Optical Instrumentation Engineers (SPIE) 2013 911 p Pm 238 Table of Contents -- Foreword -- Preface -- Introduction -- An Imaging Perspective from the Nanometer Scale -- List of Contributors -- Part I: Historic Overview -- Chapter 1 Role of Symmetry in Conductance, Capacitance, and Doping of Quantum Dots -- Part II: Materials -- Chapter 2 Electrical, Optical, and Structural Studies of InAs/ InGaSb VLWIR Superlattices -- Chapter 3 InAs/InAs1 xSbx Superlattices on GaSb Substrates: A Promising Material System for Mid- and Long-Wavelength Infrared Detectors -- Chapter 4 Thermal Conductivity and Thermal Distribution in Superlattice Structures Chapter 5 Superlinear Luminescence and Enhancement of Optical Power in GaSb-based Heterostructures with High Conduction-Band Offsets and Nanostructures with Deep Quantum Wells -- Chapter 6 Antimonide Quantum Dot Nanostructures for Novel Photonic Device Applications -- Chapter 7 n-Type Doping in GaSb using Dimethyltellurium (DMTe) by Metalorganic Chemical Vapor Deposition (MOCVD) -- Chapter 8 AlGaN-based Intersubband Device Technology -- Part III: Lasers -- Chapter 9 Advances in High-Power Quantum Cascade Lasers and Applications Chapter 10 High-Performance Quantum Cascade Lasers for Industrial Applications -- Chapter 11 Mid-infrared Tunable Surface-Emitting Lasers for Gas Spectroscopy -- Chapter 12 Frequency Noise and Linewidth of Mid-infrared Continuous- Wave Quantum Cascade Lasers: An Overview -- Chapter 13 Wide-Bandgap Semiconductor Quantum Cascade Lasers Operating at Terahertz Frequencies -- Part IV: Detectors -- Chapter 14 HgCdTe versus Other Material Systems: A Historical Look -- Chapter 15 Type-II Superlattices: Status and Trends Chapter 16 MWIR Detectors: A Comparison of Strained-Layer Superlattice Photodiodes with HgCdTe -- Chapter 17 Mid- and Long-Wavelength Barrier Infrared Detectors -- Chapter 18 Modulation Transfer Function Measurements of Infrared Focal Plane Arrays -- Chapter 19 Quantum Dots for Infrared Focal Plane Arrays Grown by MOCVD -- Chapter 20 Near-Infrared Light Detection using CMOS Silicon Avalanche Photodiodes (SiAPDs) -- Chapter 21 Modulation-Doped AlGaAs/ InGaAs Thermopiles (H-PILEs) for an Uncooled IR FPA Utilizing Integrated HEMT-MEMS Technology Chapter 22Spin-Orbit Engineeringof SemiconductorHeterostructures -- Part V: Applications -- Chapter 23 Current Status of Mid-infrared Semiconductor-Laser-based Sensor Technologies for Trace-Gas Sensing Applications -- Chapter 24 Application of Quantum Cascade Lasers for Safety and Security -- Chapter 25 Broadband-Tunable External- Cavity Quantum Cascade Lasers for Spectroscopy and Standoff Detection -- Chapter 26 Emission Spectroscopy in the Mid-infrared using FTIR Spectrometry -- Chapter 27 Photonic Sensing of Environmental Gaseous Nitrous Acid (HONO): Opportunities and Challenges Chapter 28 Integrated Plasmonic Antennas with Active Optical Devices When you look closely, Nature is nanotechnology at its finest. From a single cell, a factory all by itself, to complex systems, such as the nervous system or the human eye, each is composed of specialized nanostructures that exist to perform a specific function. This same beauty can be mirrored when we interact with the tiny physical world that is the realm of quantum mechanics.The Wonder of Nanotechnology: Quantum Optoelectronic Devices and Applications, edited by Manijeh Razeghi, Leo Esaki, and Klaus von Klitzing focuses on the application of nanotechnology to modern semiconductor optoelectr Esaki, Leo von Klitzing, Klaus 9780819495969 print version oai:cds.cern.ch:2222491 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1562738 ebook ebook EBL Nanoelectronics EBL Optoelectronic devices EBL201610 Engineering SzGeCERN BOOK n 201640 201610 21 PUBLIC BOOK DELETED 2222443 SzGeCERN 20210421212933.0 9780080554761 electronic version 279 (UA),186 (1U) electronic version 9780750686204 print version oai:cds.cern.ch:2222443 cerncds:BOOK EBL 330197 eng TK1055.D565 2008 621.44 DiPippo, Ronald Geothermal power plants principles, applications, case studies and environmental impact 2nd ed. Oxford Butterworth-Heinemann 2008 518 p ebook Front Cover -- Geothermal Power Plants, Second Edition -- Copyright Page -- Contents -- Preface and Acknowledgements to the Second Edition -- Preface to the First Edition -- Acknowledgements to the First Edition -- PART ONE: RESOURCE IDENTIFICATION AND DEVELOPMENT -- Chapter 1. Geology of Geothermal Regions -- 1.1 Introduction -- 1.2 The earth and its atmosphere -- 1.3 Active geothermal regions -- 1.4 Model of a hydrothermal geothermal resource -- 1.5 Other types of geothermal resources -- References -- Problems -- Chapter 2. Exploration Strategies and Techniques -- 2.1 Introduction 2.2 Objectives of an exploration program -- 2.3 Phases of an exploration program -- 2.4 Synthesis and interpretation -- 2.5 The next step: drilling -- References -- Problems -- Chapter 3. Geothermal Well Drilling -- 3.1 Introduction -- 3.2 Site preparation and drilling equipment -- 3.3 Drilling operations -- 3.4 Safety precautions -- References -- Chapter 4. Reservoir Engineering -- 4.1 Introduction -- 4.2 Reservoir and well flow -- 4.3 Well testing -- 4.4 Calcite scaling in well casings -- 4.5 Reservoir modeling and simulation -- References -- Problems PART TWO: GEOTHERMAL POWER GENERATING SYSTEMS -- Chapter 5. Single-Flash Steam Power Plants -- 5.1 Introduction -- 5.2 Gathering system design considerations -- 5.3 Energy conversion system -- 5.4 Thermodynamics of the conversion process -- 5.5 Example: Single-flash optimization -- 5.6 Optimum separator temperature: An approximate formulation -- 5.7 Environmental aspects for single-flash plants -- 5.8 Equipment list for single-flash plants -- References -- Nomenclature for figures in Chapter 5 -- Problems -- Chapter 6. Double-Flash Steam Power Plants -- 6.1 Introduction 6.2 Gathering system design considerations -- 6.3 Energy conversion system -- 6.4 Thermodynamics of the conversion process -- 6.5 Example: Double-flash optimization -- 6.6 Scale potential in waste brine -- 6.7 Environmental aspects for double-flash plants -- 6.8 Equipment list for double-flash plants -- References -- Nomenclature for figures in Chapter 6 -- Problems -- Chapter 7. Dry-Steam Power Plants -- 7.1 Introduction -- 7.2 Origins and nature of dry-steam resources -- 7.3 Steam gathering system -- 7.4 Energy conversion system -- 7.5 Example: Optimum wellhead pressure 7.6 Environmental aspects of dry-steam plants -- 7.7 Equipment list for dry-steam plants -- References -- Nomenclature for figures in Chapter 7 -- Problems -- Chapter 8. Binary Cycle Power Plants -- 8.1 Introduction -- 8.2 Basic binary systems -- 8.3 Working fluid selection -- 8.4 Advanced binary cycles -- 8.5 Example of binary cycle analysis -- 8.6 Environmental impact of binary cycles -- 8.7 Equipment list for basic binary plants -- References -- Nomenclature for figures in Chapter 8 -- Problems -- Chapter 9. Advanced Geothermal Energy Conversion Systems -- 9.1 Introduction 9.2 Hybrid single-flash and double-flash systems Ron DiPippo, Professor Emeritus at the University of Massachusetts Dartmouth, is a world-regarded geothermal expert. This single resource covers all aspects of the utilization of geothermal energy for power generation from fundamental scientific and engineering principles. The thermodynamic basis for the design of geothermal power plants is at the heart of the book and readers are clearly guided on the process of designing and analysing the key types of geothermal energy conversion systems. Its practical emphasis is enhanced by the use of case studies from real plants that increase the reader' EBL201610 SzGeCERN Engineering EBL Geothermal power plants BOOK 3rd ed. 2012 1615627 edition 4th ed. 2016 2204475 edition https://cds.cern.ch/auth.py?r=EBLIB_P_330197 ebook 201610 n 201640 21 PUBLIC https://catalogue.library.cern/legacy/2222443 BOOK MIGRATED 2222423 SzGeCERN 20210421212938.0 9780080481586 electronic version 214.2 (UA),142.8 (1U) electronic version 9781493302970 print version oai:cds.cern.ch:2222423 cerncds:BOOK EBL 294434 eng TS277 .Z38 2004 621.84 Smith, Peter Valve selection handbook engineering fundamentals for selecting the right valve design for every industrial flow application 5th ed. Burlington, MA Gulf Professional Publ. 2004 414 p ebook front cover -- copyright -- table of contents -- front matter -- PREFACE -- body -- 1. INTRODUCTION -- 2. FUNDAMENTALS -- 3. MANUAL VALVES -- 4. CHECK VALVES -- 5. PRESSURE RELIEF VALVES -- 6. RUPTURE DISCS -- 7. SIZING PRESSURE RELIEF DEVICES -- 8. ACTUATORS -- 9. DOUBLE BLOCK AND BLEED BALL VALVES -- 10. MECHANICAL LOCKING DEVICES FOR VALVES -- back matter -- Appendix A: ABBREVIATIONS OF ORGANIZATIONS AND STANDARDS RELATED TO THE INTERNATIONAL VALVE INDUSTRY -- Appendix B: PROPERTIES OF FLUIDS -- Appendix C: STANDARDS PERTAINING TO VALVES -- Appendix D: INTERNATIONAL SYSTEM OF UNITS (SI) Appendix E: VALVE GLOSSARY -- REFERENCES -- index Valves are the components in a fluid flow or pressure system that regulate either the flow or the pressure of the fluid. They are used extensively in the process industries, especially petrochemical. Though there are only four basic types of valves, there is an enormous number of different kinds of valves within each category, each one used for a specific purpose. No other book on the market analyzes the use, construction, and selection of valves in such a comprehensive manner.-Covers new environmentally-conscious equipment and practices, the most important hot-button issue in the p EBL201610 SzGeCERN Engineering EBL Valves - Handbooks, manuals, etc BOOK Zappe, R W https://cds.cern.ch/auth.py?r=EBLIB_P_294434 ebook n 201640 21 PUBLIC https://catalogue.library.cern/legacy/2222423 BOOK MIGRATED 2222419 SzGeCERN 20210421212939.0 9780080476124 electronic version 147.51 (UA),98.34 (1U) electronic version 9780750672801 print version oai:cds.cern.ch:2222419 cerncds:BOOK EBL 293537 eng TK7868.P7 -- S34 2001eb 621.3815 Scheiber, Stephen Building a successful board-test strategy 2nd ed. Boston, MA Newnes 2001 350 p ebook Test and measurement series Cover -- Contents -- Preface to the Second Edition -- Chapter 1 What Is a Test Strategy? -- 1.1 Why Are You Here? -- 1.2 It Isn't Just Testing Anymore -- 1.3 Strategies and Tactics -- 1.3.1 The First Step -- 1.3.2 Life Cycles -- 1.4 The Design and Test Process -- 1.4.1 Breaking Down the Walls -- 1.4.2 Making the Product -- 1.4.3 New Challenges -- 1.5 Concurrent Engineering Is Not Going Away -- 1.6 The Newspaper Model -- 1.6.1 Error Functions -- 1.6.2 What Do You Test? -- 1.6.3 Board Characteristics -- 1.6.4 The Fault Spectrum -- 1.6.5 Other Considerations -- 1.6.6 The How of Testing 1.7 Test-Strategy Costs -- 1.7.1 Cost Components -- 1.7.2 Committed vs. Out-of-Pocket Costs -- 1.8 Project Scope -- 1.9 Statistical Process Control -- 1.10 Summary -- Chapter 2 Test Methods -- 2.1 The Order-of-Magnitude Rule -- 2.2 A Brief (Somewhat Apocryphal) History of Test -- 2.3 Test Options -- 2.3.1 Analog Measurements -- 2.3.2 Shorts-and-Opens Testers -- 2.3.3 Manufacturing-Defects Analyzers -- 2.3.4 In-Circuit Testers -- 2.3.5 Bed-of-Nails Fixtures -- 2.3.6 Bed-of-Nails Probe Considerations -- 2.3.7 Opens Testing -- 2.3.8 Other Access Issues -- 2.3.9 Functional Testers 2.3.10 Functional Tester Architectures -- 2.3.11 Finding Faults with Functional Testers -- 2.3.12 Two Techniques, One Box -- 2.3.13 Hot-Mockup -- 2.3.14 Architectural Models -- 2.3.15 Other Options -- 2.4 Summary -- Chapter 3 Inspection as Test -- 3.1 Striking a Balance -- 3.2 Post-Paste Inspection -- 3.3 Post-Placement/Post-Reflow -- 3.3.1 Manual Inspection -- 3.3.2 Automated Optical Inspection (AOI) -- 3.3.3 Design for Inspection -- 3.3.4 Infrared Inspection„A New Look at an Old Alternative -- 3.3.5 The New Jerusalem?„X-Ray Inspection -- 3.4 Summary Chapter 4 Guidelines for a Cost-Effective ""Test"" Operation -- 4.1 Define Test Requirements -- 4.2 Is Automatic Test or Inspection Equipment Necessary? -- 4.3 Evaluate Test and Inspection Options -- 4.4 The Make-or-Buy Decision -- 4.5 Getting Ready -- 4.6 Programming„Another Make-or-Buy Decision -- 4.7 The Test Site -- 4.8 Training -- 4.9 Putting It All in Place -- 4.10 Managing Transition -- 4.11 Other Issues -- 4.12 Summary -- Chapter 5 Reducing Test-Generation Pain with Boundary Scan -- 5.1 Latch-Scanning Arrangements -- 5.2 Enter Boundary Scan -- 5.3 Hardware Requirements 5.4 Modes and Instructions -- 5.5 Implementing Boundary Scan -- 5.6 Partial-Boundary-Scan Testing -- 5.6.1 Conventional Shorts Test -- 5.6.2 Boundary-Scan Integrity Test -- 5.6.3 Interactions Tests -- 5.6.4 Interconnect Test -- 5.7 Other Alternatives -- 5.8 Summary -- Chapter 6 The VMEbus eXtension for Instrumentation -- 6.1 VME Background -- 6.2 VXI Extensions -- 6.3 Assembling VXI Systems -- 6.4 Configuration Techniques -- 6.5 Software Issues -- 6.6 Testing Boards -- 6.7 The VXIbus Project -- 6.8 Yin and Yang -- 6.9 Summary -- Chapter 7 Environmental-Stress Screening 7.1 The ""Bathtub Curve"" Written in a clear and thoughtful style, Building a Successful Board-Test Strategy, Second Edition offers an integrated approach to the complicated process of developing the test strategies most suited to a company's profile and philosophy. This book also provides comprehensive coverage of the specifics of electronic test equipment as well as those broader issues of management and marketing that shape a manufacturer's ""image of quality.""In this new edition, the author adds still more ""war stories,"" relevant examples from his own experience, which will guide his readers in their dec EBL201610 SzGeCERN Engineering BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_293537 ebook n 201640 21 PUBLIC https://catalogue.library.cern/legacy/2222419 BOOK MIGRATED 2222406 SzGeCERN 20190117232955.0 9780824746377 404.93 (NL),337.44 (3U),269.95 (1U) electronic version EBL 216443 eng TJ1077 -- .S96 1999eb 621.8/9 Rudnick, Leslie R Synthetic lubricants and high-performance functional fluids 2nd ed. New York, NY CRC Press 1999 906 p Chemical industries Preface to the Second Edition -- Preface to the First Edition -- Introduction -- Contents -- Contributors -- Poly(alfa-olefins) -- Poly (internal olefins) -- Esters -- Phosphate Esters -- Polymer Esters -- Polyalkylene Glycols -- Alkylated Aromatics -- Perfluoroalkylpolyethers -- Polyphenyl Ether Lubricants -- Polychlorotrifluoroethylene -- Silicones -- Silahydrocarbons -- Phosphazenes -- Dialkyl Carbonates -- Cycloaliphatics -- Polybutenes -- Highly Refined Mineral Oils -- Comparison of Synthetic Fluids -- Automotive Crankcase Oils -- Automatic Transmission Fluids Automotive Gear Lubricants -- Industrial Gear Lubricants -- Synthetic Grease -- Compressors and Pumps -- Refrigeration Lubes -- Hydraulics -- Metalworking Fluids -- Automotive Trends in Europe -- Automotive Trends in the United States -- Automotive Trends in Asia -- Automotive Trends in South America -- Industrial Trends -- Trends Toward Synthetic Fluids and Lubricants in Aerospace -- Environmental Impact -- Commercial Developments -- Lubricant-Related Terms and Acronyms -- Index Offers state-of-the-art information on all the major synthetic fluids, describing established products as well as highly promising experimental fluids with commercial potential. This second edition contains chapters on polyinternalolefins, polymer esters, refrigeration lubes, polyphenyl ethers, highly refined mineral oils, automotive gear oils and industrial gear oils. The book also assesses automotive, industrial, aerospace, environmental, and commercial trends in Europe, Asia, South America, and the US. Shubkin, Ronald L 9780824701949 print version oai:cds.cern.ch:2222406 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_216443 ebook ebook EBL Hydraulic fluids EBL201610 Engineering SzGeCERN BOOK n 201640 21 PUBLIC BOOK DELETED 2221874 SzGeCERN 20171102145532.0 oai:arXiv.org:1610.00820 http://export.arxiv.org/oai2 2016-10-05 2016-10-05T05:19:47Z arXiv true arXiv arXiv:1610.00820 eng Hathcock, David Sheehy, James Weisenberger, Casey Ilker, Efe Hinczewski, Michael http://arxiv.org/pdf/1610.00820.pdf Preprint n 201640 Noise Filtering and Prediction in Biological Signaling Networks 03 Oct 2016 15 p Information transmission in biological signaling circuits has often been described using the metaphor of a noise filter. Cellular systems need accurate, real-time data about their environmental conditions, but the biochemical reaction networks that propagate, amplify, and process signals work with noisy representations of that data. Biology must implement strategies that not only filter the noise, but also predict the current state of the environment based on information delayed due to the finite speed of chemical signaling. The idea of a biochemical noise filter is actually more than just a metaphor: we describe recent work that has made an explicit mathematical connection between signaling fidelity in cellular circuits and the classic theories of optimal noise filtering and prediction that began with Wiener, Kolmogorov, Shannon, and Bode. This theoretical framework provides a versatile tool, allowing us to derive analytical bounds on the maximum mutual information between the environmental signal and the real-time estimate constructed by the system. It helps us understand how the structure of a biological network, and the response times of its components, influences the accuracy of that estimate. The theory also provides insights into how evolution may have tuned enzyme kinetic parameters and populations to optimize information transfer. Comments: 15 pages, 6 figures http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS q-bio.MN arXiv Other Fields of Physics arXiv q-bio.MN LANL EDS physics.bio-ph LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2221789 SzGeCERN 20171104190040.0 DOI 10.1103/PhysRevC.94.055804 oai:arXiv.org:1610.00925 http://export.arxiv.org/oai2 2016-11-23 2016-11-23T06:15:13Z arXiv true arXiv Inspire 1489313 arXiv:1610.00925 eng Depalo, R Cavanna, F Aliotta, M Anders, M Bemmerer, D Best, A Boeltzig, A Broggini, C Bruno, C G Caciolli, A Ciani, G F Corvisiero, P Davinson, T Di Leva, A Elekes, Z Ferraro, F Formicola, A Fülöp, Zs Gervino, G Guglielmetti, A Gustavino, C Gyürky, Gy Imbriani, G Junker, M Menegazzo, R Mossa, V Pantaleo, F R Piatti, D Prati, P Straniero, O Szücs, T Takács, M P Trezzi, D Phys. Rev. C 94 2016 055804 Phys. Rev. C 94, 055804 (2016) http://arxiv.org/pdf/1610.00925.pdf Preprint n 201640 Direct measurement of low-energy $^{22}$Ne(p,$\gamma$)$^{23}$Na resonances 04 Oct 2016 Comments: Submitted to Phys. Rev. C Comments: Submitted to Phys. Rev. C arXiv The $^{22}$Ne(p,$\gamma$)$^{23}$Na reaction is the most uncertain process in the neon-sodium cycle of hydrogen burning. At temperatures relevant for nucleosynthesis in asymptotic giant branch stars and classical novae, its uncertainty is mainly due to a large number of predicted but hitherto unobserved resonances at low energy. Purpose: A new direct study of low energy $^{22}$Ne(p,$\gamma$)$^{23}$Na resonances has been performed at the Laboratory for Underground Nuclear Astrophysics (LUNA), in the Gran Sasso National Laboratory, Italy. Method: The proton capture on $^{22}$Ne was investigated in direct kinematics, delivering an intense proton beam to a $^{22}$Ne gas target. $\gamma$ rays were detected with two high-purity germanium detectors enclosed in a copper and lead shielding suppressing environmental radioactivity. Results: Three resonances at 156.2 keV ($\omega\gamma$ = (1.48\,$\pm$\,0.10)\,$\cdot$\,10$^{-7}$ eV), 189.5 keV ($\omega\gamma$ = (1.87\,$\pm$\,0.06)\,$\cdot$\,10$^{-6}$ eV) and 259.7 keV ($\omega\gamma$ = (6.89\,$\pm$\,0.16)\,$\cdot$\,10$^{-6}$ eV) proton beam energy, respectively, have been observed for the first time. For the levels at 8943.5, 8975.3, and 9042.4 keV excitation energy corresponding to the new resonances, the $\gamma$-decay branching ratios have been precisely measured. Three additional, tentative resonances at 71, 105 and 215 keV proton beam energy, respectively, were not observed here. For the strengths of these resonances, experimental upper limits have been derived that are significantly more stringent than the upper limits reported in the literature. Conclusions: Based on the present experimental data and also previous literature data, an updated thermonuclear reaction rate is provided in tabular and parametric form. The new reaction rate is significantly higher than previous evaluations at temperatures of 0.08-0.3 GK. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Nuclear Physics - Experiment arXiv Astrophysics and Astronomy arXiv nucl-ex LANL EDS astro-ph.SR LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2221785 SzGeCERN 20170819033515.0 oai:arXiv.org:1610.00916 http://export.arxiv.org/oai2 2016-10-05 2016-10-05T05:15:18Z arXiv true arXiv Inspire 1613850 arXiv:1610.00916 eng Dekel, Avishai Dark-Matter Halo Profiles of a General Cusp/Core with Analytic Velocity and Potential 2016 04 Oct 2016 21 p Comments: 21 pages, 10 figures. arXiv admin note: substantial text overlap with arXiv:1606.03905 We present useful functions for the profiles of dark-matter (DM) haloes with a free inner slope, from cusps to cores, where the profiles of density, mass-velocity and potential are simple analytic expressions. Analytic velocity is obtained by expressing the mean density as a simple functional form, and deriving the local density by differentiation. The function involves four shape parameters, with only two or three free: a concentration parameter $c$, inner and outer asymptotic slopes $\alpha$ and $\bar{\gamma}$, and a middle shape parameter $\beta$. Analytic expressions for the potential and velocity dispersion exist for $\bar{\gamma}=3$ and $\beta$ a natural number. We match the models to the DM haloes in cosmological simulations, with and without baryons, ranging from steep cusps to flat cores. Excellent fits are obtained with three free parameters ($c$, $\alpha$, $\bar{\gamma}$) and $\beta=2$. For an analytic potential, similar fits are obtained for $\bar{\gamma}=3$ and $\beta=2$ with only two free parameters ($c$, $\alpha$); this is our favorite model. A linear combination of two such profiles, with an additional free concentration parameter, provides excellent fits also for $\beta=1$, where the expressions are simpler. The fit quality is comparable to non-analytic popular models. An analytic potential is useful for modeling the inner-halo evolution due to gas inflows and outflows, studying environmental effects on the outer halo, and generating halo potentials or initial conditions for simulations. The analytic velocity can quantify simulated and observed rotation curves without numerical integrations. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Ishai, Guy Dutton, Aaron A Maccio, Andrea V http://arxiv.org/pdf/1610.00916.pdf Preprint n 201640 11 PREPRINT Hidden 2221760 SzGeCERN 20170819023137.0 DOI 10.1117/12.2187025 oai:arXiv.org:1610.00723 http://export.arxiv.org/oai2 2016-10-05 2016-10-05T05:15:18Z arXiv true arXiv Inspire 1497974 arXiv:1610.00723 eng Tayabaly, K Roughness tolerances for Cherenkov telescope mirrors 2016 03 Oct 2016 Comments: Preprint version. The fully published paper can be found at https://doi.org/10.1117/12.2187025 The Cherenkov Telescope Array (CTA) is a forthcoming international ground-based observatory for very high-energy gamma rays. Its goal is to reach sensitivity five to ten times better than existing Cherenkov telescopes such as VERITAS, H.E.S.S. or MAGIC and extend the range of observation to energies down to few tens of GeV and beyond 100 TeV. To achieve this goal, an array of about 100 telescopes is required, meaning a total reflective surface of several thousands of square meters. Thence, the optimal technology used for CTA mirrors manufacture should be both low-cost (~1000 euros/m2) and allow high optical performances over the 300-550 nm wavelength range. More exactly, a reflectivity higher than 85% and a PSF (Point Spread Function) diameter smaller than 1 mrad. Surface roughness can significantly contribute to PSF broadening and limit telescope performances. Fortunately, manufacturing techniques for mirrors are now available to keep the optical scattering well below the geometrically-predictable effect of figure errors. This paper determines first order surface finish tolerances based on a surface microroughness characterization campaign, using Phase Shift Interferometry. That allows us to compute the roughness contribution to Cherenkov telescope PSF. This study is performed for diverse mirror candidates (MAGIC-I and II, ASTRI, MST) varying in manufacture technologies, selected coating materials and taking into account the degradation over time due to environmental hazards. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Title has not been found in the knowledge base. Please add "PROC OF SPIE VOL" Astrophysics and Astronomy arXiv ARTICLE astro-ph.IM LANL EDS Spiga, D Canestrari, R Bonnoli, G Lavagna, M Pareschi, G Proc. of SPIE Vol. 9603 2015 960307 Optics for EUV, X-Ray, and Gamma-Ray Astronomy VII, Proc. of SPIE Vol. 9603, 960307 (2015) http://arxiv.org/pdf/1610.00723.pdf Preprint n 201640 13 Article Hidden 2221749 SzGeCERN 20170819023136.0 oai:arXiv.org:1610.00708 http://export.arxiv.org/oai2 2016-10-05 2016-10-05T05:15:18Z arXiv true arXiv Inspire 1515127 arXiv:1610.00708 eng Dooley, Gregory A An observer's guide to the (Local Group) dwarf galaxies: predictions for their own dwarf satellite populations 2016 03 Oct 2016 19 p Comments: Submitted to MNRAS, 19 pages, 8 figures, 4 tables A recent surge in the discovery of new ultrafaint dwarf satellites of the Milky Way has inspired the idea of searching for faint satellites, $10^3\, \mathrm{M_{\odot}}< M_* < 10^6 \, \mathrm{M_{\odot}}$, around less massive field galaxies in the Local Group. Such satellites would be subject to weaker environmental influences than Milky Way satellites, and could lead to new insights on low mass galaxy formation. In this paper, we predict the number of luminous satellites expected around field dwarf galaxies by applying several abundance matching models and a reionization model to the dark-matter only Caterpillar simulation suite. For three of the four abundance matching models used, we find a $>99\%$ chance that at least one satellite with stellar mass $M_*> 10^5 \, \mathrm{M_{\odot}}$ exists around the combined five Local Group field dwarf galaxies with the largest stellar mass. When considering satellites with $M_*> 10^4 \, \mathrm{M_{\odot}}$, we predict a combined $5-25$ satellites for the five largest field dwarfs, and $10-50$ for the whole Local Group field dwarf population. Because of the relatively small number of predicted dwarfs, and their extended spatial distribution, a large fraction each Local Group dwarf's virial volume will need to be surveyed to guarantee discoveries. We compute the predicted number of satellites in a given field of view of specific Local Group galaxies, as a function of minimum satellite luminosity, and explicitly obtain such values for the Solitary Local dwarfs survey. Uncertainties in abundance matching and reionization models are large, implying that comprehensive searches could lead to refinements of both models. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Peter, Annika H G Yang, Tianyi Willman, Beth Griffen, Brendan F Frebel, Anna http://arxiv.org/pdf/1610.00708.pdf Preprint n 201640 11 PREPRINT Hidden 2221683 20200622102214.0 CERN-FOOTAGE-2016-008-003 eng TIM CERN 2016 2016-10-04 00:02:25.600 1920x1080 16/9, 25.00 25 1920x1080 16:9 Noemi Caraban Christoph Madsen -What it is TIM, Train Inspection Monorail for the LHC -What is it used for Real time measurements and inspections along the LHC tunnel -How is it working Autonomous vehicle following pre-defined missions Embedded fail safe control and different measurement technologies Runs on battery with autonomous charging mechanism when stands still -Some interesting/curious information about it Adaptive speed up to 6 km/h Monitoring of tunnel structure, oxygen, communication bandwidth and temperature Equipped with a radioprotection probe for radiation mapping of the LHC Provides visual and infrared imaging of the LHC Compact design to be able to cross the LHC sector and ventilation doors Several different wagons can be integrated for specific missions 2 TIM units currently running in the LHC and parked waiting for commands in the CMS bypass CERN 2016 review Autonomous robot Modular vehicle Measurements Environmental review Exploitation review Fail safe control review Infrared inspection review Mapping review Radiation review TIM review Tunnel structure monitoring review Visual inspection publvideorush movingimages AVW.project.2186 CERN-FOOTAGE-2016-008 MediaArchive \\cern.ch\dfs\Services\MediaArchive\Video\Masters\Footage\CERN\2016\CERN-FOOTAGE-2016-008\Footage\CERN-FOOTAGE-2016-008-003.mov Absolute master path MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/CERN-FOOTAGE-2016-008-003-5872-kbps-1920x1080-audio-128-kbps-stereo.mp4 mp45872 5872 kbps maxH 1080 25 fps audio 128 kbps 48 kHz stereo MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/CERN-FOOTAGE-2016-008-003-836-kbps-640x360-audio-64-kbps-stereo.mp4 mp40836 0836 kbps maxH 360 25 fps audio 64 kbps 48 kHz stereo MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/CERN-FOOTAGE-2016-008-003-posterframe-640x360-at-5-percent.jpg jpgposterframe posterframe 640x360 at 5 percent MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/CERN-FOOTAGE-2016-008-003-posterframe-640x360-at-15-percent.jpg jpgposterframe posterframe 640x360 at 15 percent MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/CERN-FOOTAGE-2016-008-003-posterframe-640x360-at-25-percent.jpg jpgposterframe posterframe 640x360 at 25 percent MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/CERN-FOOTAGE-2016-008-003-posterframe-640x360-at-35-percent.jpg jpgposterframe posterframe 640x360 at 35 percent MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/CERN-FOOTAGE-2016-008-003-posterframe-640x360-at-45-percent.jpg jpgposterframe posterframe 640x360 at 45 percent MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/CERN-FOOTAGE-2016-008-003-posterframe-640x360-at-55-percent.jpg jpgposterframe posterframe 640x360 at 55 percent MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/CERN-FOOTAGE-2016-008-003-posterframe-640x360-at-65-percent.jpg jpgposterframe posterframe 640x360 at 65 percent MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/CERN-FOOTAGE-2016-008-003-posterframe-640x360-at-75-percent.jpg jpgposterframe posterframe 640x360 at 75 percent MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/CERN-FOOTAGE-2016-008-003-posterframe-640x360-at-85-percent.jpg jpgposterframe posterframe 640x360 at 85 percent MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/CERN-FOOTAGE-2016-008-003-posterframe-640x360-at-95-percent.jpg jpgposterframe posterframe 640x360 at 95 percent MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/proxy-CERN-FOOTAGE-2016-008-003-posterframe-640x360-at-5-percent.jpg jpgproxy-posterframe proxy-posterframe 640x360 at 5 percent MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/CERN-FOOTAGE-2016-008-003-thumbnail-180x101-at-5-percent.jpg jpgthumbnail thumbnail 180x101 at 5 percent MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/CERN-FOOTAGE-2016-008-003-thumbnail-180x101-at-15-percent.jpg jpgthumbnail thumbnail 180x101 at 15 percent MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/CERN-FOOTAGE-2016-008-003-thumbnail-180x101-at-25-percent.jpg jpgthumbnail thumbnail 180x101 at 25 percent MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/CERN-FOOTAGE-2016-008-003-thumbnail-180x101-at-35-percent.jpg jpgthumbnail thumbnail 180x101 at 35 percent MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/CERN-FOOTAGE-2016-008-003-thumbnail-180x101-at-45-percent.jpg jpgthumbnail thumbnail 180x101 at 45 percent MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/CERN-FOOTAGE-2016-008-003-thumbnail-180x101-at-55-percent.jpg jpgthumbnail thumbnail 180x101 at 55 percent MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/CERN-FOOTAGE-2016-008-003-thumbnail-180x101-at-65-percent.jpg jpgthumbnail thumbnail 180x101 at 65 percent MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/CERN-FOOTAGE-2016-008-003-thumbnail-180x101-at-75-percent.jpg jpgthumbnail thumbnail 180x101 at 75 percent MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/CERN-FOOTAGE-2016-008-003-thumbnail-180x101-at-85-percent.jpg jpgthumbnail thumbnail 180x101 at 85 percent MediaArchive https://mediaarchive.cern.ch/MediaArchive/Video/Public/Footage/CERN/2016/CERN-FOOTAGE-2016-008/CERN-FOOTAGE-2016-008-003/CERN-FOOTAGE-2016-008-003-thumbnail-180x101-at-95-percent.jpg jpgthumbnail thumbnail 180x101 at 95 percent noemi.caraban.gonzalez@cern.ch 2016-10-04 noemi.caraban.gonzalez@cern.ch 85 AVW.clip.3123 https://videos.cern.ch/record/2221683 PUBLVIDEORUSH FOOTAGEMEDIALAB MIGRATED 2221568 SzGeCERN 20171016220039.0 oai:arXiv.org:1610.00210 http://export.arxiv.org/oai2 2016-10-04 2016-10-04T05:19:05Z arXiv true arXiv Inspire 1489247 arXiv:1610.00210 eng Dhuley, Ram C http://arxiv.org/pdf/1610.00210.pdf Preprint n 201640 Investigations on a Thermoacoustic Refrigerator 01 Oct 2016 mult. p Thermoacoustic Refrigerators use acoustic power for generating cold temperatures. Development of refrigerators based on the thermoacoustic technology is a novel solution to the present day need of cooling, without causing environmental hazards. With added advantages such as minimal moving parts and absence of CFC refrigerants, these devices can attain low temperatures maintaining a compact size. The present work describes an in-depth theoretical analysis of standing wave thermoacoustic refrigerators. This consists of detailed parametric studies, transient state analysis, and a design using an available simulation software. Design and construction of a thermoacoustic refrigerator using a commercially available electro-dynamic motor is also presented. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Detectors and Experimental Techniques arXiv physics.ins-det LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2221502 SzGeCERN 20171103220748.0 oai:arXiv.org:1609.09518 http://export.arxiv.org/oai2 2016-10-03 2016-10-04T05:19:05Z arXiv true arXiv arXiv:1609.09518 eng Suh, Jeewon Han, Kewen Peterson, Christopher W Bahl, Gaurav http://arxiv.org/pdf/1609.09518.pdf Preprint n 201640 Real-time sensing of flowing nanoparticles with electro-opto-mechanics 29 Sep 2016 11 p High-Q optical resonators allow label-free detection of individual nanoparticles through perturbation of optical signatures but have practical limitations due to reliance on random diffusion to deliver particles to the sensing region. We have recently developed microfluidic optomechanical resonators that allow detection of free-flowing particles in fluid media with near perfect detection efficiency, without requiring labeling, binding, or direct access to the optical mode. Rapid detection of single particles is achieved through a long-range optomechanical interaction that influences the scattered light spectra from the resonator, which can be quantified with post-processing. Here, we present a hybrid electromechanical-optomechanical technique for substantially increasing the bandwidth of these optomechanofluidic sensors, enabling real-time operation. The presented system demonstrates temporal resolution of better than 20~\us (50,000 events/second) with particle sensing resolution down to 490 nm, operating in the air without any stabilization or environmental control. Our technique significantly enhances the sensing capabilities of high-Q optical resonators into the mechanics domain, and allows extremely high-throughput analysis of large nanoparticle populations. Comments: 11 pages, 5 figures http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv physics.optics LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2221163 SzGeCERN 20210421213018.0 9789811015441 print version 9789811015458 electronic version electronic version DOI 10.1007/978-981-10-1545-8 ebook oai:cds.cern.ch:2221163 cerncds:BOOK eng HB144 QA269-272 23 519 Yeung, David W K Subgame consistent cooperation a comprehensive treatise Singapore Springer 2016 ebook Theory and decision library. Series C, game theory, mathematical programming and operations research 47 0924-6126 Introduction -- Subgame Consistent Cooperative Solution in Differential Games -- Subgame Consistent Cooperation in Stochastic Differential Games -- Subgame Consistency in Randomly-Furcating Cooperative Stochastic Differential Games -- Subgame Consistency under Asynchronous Players’ Horizons -- Subgame Consistent Cooperative Solution in NTU Differential Games -- Subgame Consistent Cooperative Solution in Dynamic Games -- Subgame Consistent Cooperative Solution in Random Horizon Dynamic Games -- Subgame Consistency in Randomly-Furcating Cooperative Stochastic Dynamic Games -- Subgame Consistency under Furcating Payoffs, Stochastic Dynamics and Random Horizon -- Subgame Consistency in NTU Cooperative Dynamic Games -- Applications in Cooperative Public Goods Provision -- Collaborative Environmental Management -- Cooperation with Technology Switching -- Applications in Business Collaboration. Strategic behavior in the human and social world has been increasingly recognized in theory and practice. It is well known that non-cooperative behavior could lead to suboptimal or even highly undesirable outcomes. Cooperation suggests the possibility of obtaining socially optimal solutions and the calls for cooperation are prevalent in real-life problems. Dynamic cooperation cannot be sustainable if there is no guarantee that the agreed upon optimality principle at the beginning is maintained throughout the cooperation duration. It is due to the lack of this kind of guarantees that cooperative schemes fail to last till its end or even fail to get started. The property of subgame consistency in cooperative dynamic games and the corresponding solution mechanism resolve this “classic” problem in game theory. This book is a comprehensive treatise on subgame consistent dynamic cooperation covering the up-to-date state of the art analyses in this important topic. It sets out to provide the theory, solution techniques and applications of subgame consistent cooperation in a wide spectrum of paradigms for analysis which includes cooperative dynamic game models with stochastic state dynamics, with uncertain future payoffs, with asynchronous players’ horizons, with random cooperation duration, with control spaces switching and with transferable and nontransferable payoffs. The book would be a significant research reference text for researchers in game theory, economists, applied mathematicians, policy-makers, corporate decision-makers, and graduate students in applied mathematics, game theory, decision sciences, economics and management sciences. "Technically this is a high quality book. It is very relevant to researchers of dynamic games – an area which is very relevant in nowadays research related to complex dynamic systems. The book provides original concepts, ideas and results with relevance." — Dusan Stipanovic “The 2004 Nobel Economics Prize was given to works in economic policies under the concept of time consistency with mathematical construction less general, rigorous and precise than that later developed in this book. The concept and technique of subgame consistency were just published then. In terms of advancement in practical applications this book is highly important theoretically and technically on top of economic interpretation.” — Vladimir Mazalov. Mathematics and statistics SPR201610 SzGeCERN Mathematical Physics and Mathematics BOOK Petrosyan, Leon A 201610 SPR n 201640 21 PUBLIC https://catalogue.library.cern/legacy/2221163 BOOK MIGRATED 2221130 SzGeCERN 20210421213026.0 9783319418476 print version 9783319418490 electronic version electronic version DOI 10.1007/978-3-319-41849-0 ebook oai:cds.cern.ch:2221130 cerncds:BOOK eng TA169.7 T55-55.3 621.389 23 Disaster forensics understanding root cause and complex causality Cham Springer 2016 ebook Advanced sciences and technologies for security applications 1613-5113 Individual and Societal Risk (RiskIS): Beyond probability and consequence during Hurricane Katrina -- Application of problem inversion to cascading critical infrastructure failure -- Heroes and Villains in Complex Socio-Technical Systems -- Patient Safety and Disaster Forensics: understanding complex causality through Actor Network ethnography -- The Fog of Battle in risk and crisis communication: Towards the goal of interoperability in the digital age -- Disaster Forensics: Governance, Adaptivity and Social Innovation -- Disasters and Mishaps: The Merits of Taking a Global View.-Dynamics of information flow before major crises: Lessons from the collapse of Enron, the subprime mortgage crisis and other high impact disasters in the industrial sector -- Climate Change and Disaster Forensics -- The Complex Dynamic Causality of Violent Extremism: Applications of the VERA-2 Risk Assessment Method to CVE initiatives -- Staying alive in the business of terror -- Counter-terrorism and Design Thinking: Supporting strategic insights and influencing operations -- Economic Disruptions, Business Continuity Planning and Disaster Forensic Analysis: The Hawaii Business Recovery Center (HIBRC) Project -- An Event-Driven, Scalable and Real-Time Geo-spatial Disaster Forensics Architecture: Decision Support for Integrated Disaster Risk Reduction describes -- Advances in Economics and Disaster Forensics: A Multi-Criteria Disaster Forensics Analysis (MCDFA) of the 2012 Kahuku Wind Farm Battery Fire on Oahu, Hawaii.-Complexity and Disaster Forensics: Paradigms, Models and Approaches for Natural Hazards Management in the Pacific Island Region. . This book aims to uncover the root causes of natural and man-made disasters by going beyond the typical reports and case studies conducted post-disaster. It opens the black box of disasters by presenting ‘forensic analysis approaches’ to disasters, thereby revealing the complex causality that characterizes them and explaining how and why hazards do, or do not, become disasters. This yields ‘systemic’ strategies for managing disasters. Recently the global threat landscape has seen the emergence of high impact, low probability events. Events like Hurricane Katrina, the Great Japan Earthquake and tsunami, Hurricane Sandy, Super Typhoon Haiyan, global terrorist activities have become the new norm. Extreme events challenge our understanding regarding the interdependencies and complexity of the disaster aetiology and are often referred to as Black Swans. Between 2002 and 2011, there were 4130 disasters recorded that resulted from natural hazards around the world. In these, 1,117,527 people perished and a minimum of US$1,195 billion in losses were reported. In the year 2011 alone, 302 disasters claimed 29,782 lives; affected 206 million people and inflicted damages worth a minimum of estimated US$366 billion. Physics and astronomy SPR201610 SzGeCERN Other Fields of Physics SPR Natural disasters SPR System safety SPR Environmental law SPR Environmental policy SPR Social sciences SPR Security Science and Technology SPR Natural Hazards SPR Environmental LawPolicyEcojustice SPR Methodology of the Social Sciences BOOK Masys, Anthony ed. SPR n 201640 201610 21 PUBLIC https://catalogue.library.cern/legacy/2221130 BOOK MIGRATED 2221127 SzGeCERN 20210421213027.0 9783319390420 print version 9783319390444 electronic version electronic version DOI 10.1007/978-3-319-39044-4 ebook oai:cds.cern.ch:2221127 cerncds:BOOK eng QC221-246 23 534 Butler, John L Transducers and arrays for underwater sound 2nd ed. Cham Springer 2016 ebook Modern acoustics and signal processing 2364-4915 Introduction -- Electroacoustic Transduction -- Transducer Models -- Transducer Characteristics.-Transducers as Projectors -- Transducers as Hydrophones -- Projector Arrays -- Hydrophone Arrays -- Transducer Evaluation and Measurement -- Acoustic Radiation from Transducers -- Mathematical Models for Acoustic Radiation -- Nonlinear Mechanisms and Their Effects -- Appendix. Glossary of Terms.-Solutions for Odd-Numbered Exercises.-Index. This improved and updated second edition covers the theory, development, and design of electro-acoustic transducers for underwater applications. This highly regarded text discusses the basics of piezoelectric and magnetostrictive transducers that are currently being used as well as promising new designs. It presents the basic acoustics as well as the specific acoustics data needed in transducer design and evaluation. A broad range of designs of projectors and hydrophones are described in detail along with methods of modeling, evaluation, and measurement. Analysis of projector and hydrophone transducer arrays, including the effects of mutual radiation impedance and numerical models for elements and arrays, are also covered. The book includes new advances in transducer design and transducer materials and has been completely reorganized to be suitable for use as a textbook, as well as a reference or handbook. The new edition contains updates to the first edition, end-of-chapter exercises, and solutions to selected exercises. Each chapter includes a short introduction, end-of-chapter summary, and an extensive reference list offering the reader more detailed information and historical context. Offers a highly comprehensive text which is more extensive than the first edition Casts new light on the basics of piezoelectric and magnetostrictive transducers Includes sections on transducer and array advancements, as well as descriptions of legacy and new transducers and materials Presents chapters in a systematic sequence for an improved learning experience Provides a glossary of key terms and an extensive appendix which includes sections on transducer materials, magnetostrictive and piezoelectric coefficients, frequently used formulas, hydrophone noise, relevant mathematics, transducer publications, and much more . Physics and astronomy SPR201610 SzGeCERN Other Fields of Physics SPR Oceanography SPR Remote sensing SPR Acoustics SPR Acoustical engineering SPR Signal, Image and Speech Processing SPR Remote SensingPhotogrammetry SPR Engineering Acoustics SPR Geophysics and Environmental Physics BOOK Sherman, Charles H 1st ed. 2007 1339481 edition 201610 SPR n 201640 21 PUBLIC https://catalogue.library.cern/legacy/2221127 BOOK MIGRATED 2220966 SzGeCERN 20210422084019.0 9784431558590 print version 9784431558613 electronic version electronic version DOI 10.1007/978-4-431-55861-3 e-proceedings oai:cds.cern.ch:2220966 cerncds:CONF eng TA177.4-185 658.5 23 20140914 2nd International Conference on Serviceology Yokohama, Japan 14 - 16 Sep 2014 2014 yokohama20140914 2 JP ICServ2014 20140916 Tokyo Springer 2016 ebook A Survey of Business Models in Japanese Restaurant and Retail Industries -- Employee Satisfaction Analysis in Food Service Industry - Resultant of Questionnaire to the Restaurant Staff -- Exploration of Service System and Value Co-creation Mechanism in Islamic Banking in Pakistan -- The Ordering of Fast Food Using Menu -- Evaluation of taxiing at a large airport considering customer satisfaction -- Research of the Social New Transportation Service on Electric Full Flat Floor Bus -- Analysis of business process innovation using outsourcing -- Mixed Reality Navigation on a Tablet Computer for Supporting Machine Maintenance in Wide-area Indoor Environment -- Business Structure of E-book Service as a Product Service System: A Game Theoretic Approach -- Service Field Simulator: Virtual environment display system for analyzing human behavior in service fields -- Improvement of Sharing of observations and awareness in nursing by voice tweets -- A System Promoting Cooperation Between Medicine and Dentistry Using Key Performance Indicators and Importance-Performance Analysis -- Designing the Amount of Image Delay in Tele-surgery -- Visualization of Muscle Activity during Squat Motion for Skill Education -- Extraction and Evaluation of Proficiency in Bed Care Motion for Education Service of Nursing Skill -- Exploratory Analysis on Factors of Patient Satisfaction in HCAHPS Databases -- One Cycle of Smart Access Vehicle Service Development -- The value of community for resolving social isolation -- Basic Study of Mobility of Elderly People from the Perspective of Their Emotional Value -- Workshop-based Policy Platform for Public-Private Partnership (WP5): Designing Co-Creative Policy-Making Platform for Regional Development of Nagano -- System Design of Happy Town Using Four Factors of Happiness -- Evaluation of the Productivity Improvement by Information Presentation in Surveillance Service -- Personalized Information Service Model that Reflects Individual's Will -- Ranking Smartphone Apps Based on Users' Behavior Records -- Contribution of ICT monitoring system in Agricultural Water Management and Environmental Conservation -- A Questionnaire Assessment of the Contributing Factors to Empathy -- Evaluation of Countermeasures for Low Birthrate and Aging of the Population in a Suburban New Town -- Analysis of value co-creation between farmers and Land Improvement District in Japan through irrigation service improvement by good water quality -- Analysis of Multi-language Knowledge Communication Service in Intercultural Agricultural Support.-A Value Co-Creation Model for Multi-Language Knowledge Communication -- Field-Oriented Service Design: A Multiagent Approach.-EXPERIENCE PLOT:A Template for Co-Creating Customer Journey -- Kizashi Method:Grasping the change of future user's values.– Service Practices as Organizational Phenomena -- The Findings from the First Service Design Projects -- An Evaluation Method of a Service Business model using Wants Chain Analysis -- Design method of target customer’s WANTs for a service based on classification of services using WANTs -- Business Model Generation Canvas as a Method to Develop Customer-Oriented Service Innovation -- Aligning Product-Service offerings with customer expectations -- User-De-Centeredness in Service Design -- A Probe-based Approach for Designing Inspirational Services at Museums. This book provides a useful overall guide to the state of the art in theory and practice of services. It can also serve as a reference book for researchers in various fields, including engineering, marketing, economics, and other disciplines. Advanced works presented here were selected from the proceedings of the Second International Conference on Serviceology (ICServ2014), held September 14–16, 2014. This book helps readers to understand serviceology, which tackles with a broad range of services, the globalization of the economy and also enhances the quality of life of local residents. Engineering SPR201610 SzGeCERN Engineering SPR Production management SPR Computers SPR Engineering design SPR Engineering economics SPR Engineering economy SPR Engineering Economics, Organization, Logistics, Marketing SPR Operations Management SPR Engineering Design SPR Information Systems and Communication Service CONFERENCE PROCEEDINGS Maeno, Takashi ed. Sawatani, Yuriko ed. Hara, Tatsunori ed. ICServ2014 Acronym Serviceology for designing the future SPR n 201640 201610 42 PUBLIC https://catalogue.library.cern/legacy/2220966 PROCEEDINGS MIGRATED 2235056 SzGeCERN 20171103220206.0 oai:arXiv.org:1611.07504 http://export.arxiv.org/oai2 2016-11-23 2016-11-23T06:19:28Z arXiv true arXiv arXiv:1611.07504 eng Bowen, Patrick Erkintalo, Miro Broderick, Neil G R http://arxiv.org/pdf/1611.07504.pdf Preprint n 201647 Large net-normal dispersion Er-doped fibre laser mode-locked with a nonlinear amplifying loop mirror 22 Nov 2016 5 p We report on an environmentally stable, all-PM-fibre, Er-doped, mode-locked laser with a central wavelength of 1550 nm. Significantly, the laser possesses large net-normal dispersion such that its dynamics are comparable to that of an all-normal dispersion fibre laser at 1 {\mu}m with an analogous architecture. The laser is mode-locked with a nonlinear amplifying loop mirror to produce pulses that are externally compressible to 500 fs. Experimental results are in good agreement with numerical simulations. Comments: 5 pages, 4 figures, submitted to Optics Letters http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv physics.optics LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2234878 SzGeCERN 20170819033837.0 oai:arXiv.org:1611.07049 http://export.arxiv.org/oai2 2016-11-23 2016-11-23T06:15:13Z arXiv true arXiv Inspire 1512735 arXiv:1611.07049 eng Cucciati, O VIMOS Public Extragalactic Redshift Survey (VIPERS). The decline of cosmic star formation: quenching, mass, and environment connections 2016 21 Nov 2016 20 p Comments: 20 pages, 13 figures, submitted to A&A [Abridged] We use the final data of the VIMOS Public Extragalactic Redshift Survey (VIPERS) to investigate the effect of environment on the evolution of galaxies between $z=0.5$ and $z=0.9$. We characterise local environment in terms of the density contrast smoothed over a cylindrical kernel, the scale of which is defined by the distance to the $5^{th}$ nearest neighbour. We find that more massive galaxies tend to reside in higher-density environments over the full redshift range explored. Defining star-forming and passive galaxies through their (NUV$-r$) vs ($r-K$) colours, we then quantify the fraction of star-forming over passive galaxies, $f_{\rm ap}$, as a function of environment at fixed stellar mass. $f_{\rm ap}$ is higher in low-density regions for galaxies with masses ranging from $\log(\mathcal{M}/\mathcal{M}_\odot)=10.38$ (the lowest value explored) to at least $\log(\mathcal{M}/\mathcal{M}_\odot)\sim11.3$, although with decreasing significance going from smaller to larger masses. This is the first time that environmental effects on high-mass galaxies are clearly detected at redshifts as high as $z\sim0.9$. We compared these results to VIPERS-like galaxy mock catalogues based on the galaxy formation model of De Lucia & Blaizot. The model correctly reproduces $f_{\rm ap}$ in low-density environments, but underpredicts it at high densities. The discrepancy is particularly strong for the lowest-mass bins. We find that this discrepancy is driven by an excess of low-mass passive satellite galaxies in the model. Looking at the accretion history of these model galaxies, i.e. the times when they become satellites, a better (yet not perfect) agreement with observations can be obtained in high density regions by assuming either that a not-negligible fraction of satellites is destroyed, or that their quenching time-scale is longer than $\sim 2$ Gyr. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Davidzon, I Bolzonella, M Granett, B R De Lucia, G Branchini, E Zamorani, G Iovino, A Garilli, B Guzzo, L Scodeggio, M de la Torre, S Abbas, U Adami, C Arnouts, S Bottini, D Cappi, A Franzetti, P Fritz, A Krywult, J Brun, V Le Fevre, O Le Maccagni, D Malek, K Marulli, F Moutard, T Polletta, M Pollo, A Tasca, L A M Tojeiro, R Vergani, D Zanichelli, A Bel, J Blaizot, J Coupon, J Hawken, A Ilbert, O Moscardini, L Peacock, J A Gargiulo, A http://arxiv.org/pdf/1611.07049.pdf Preprint n 201647 11 PREPRINT Hidden 2234105 SzGeCERN 20171016220318.0 oai:arXiv.org:1611.06107 http://export.arxiv.org/oai2 2016-11-21 2016-11-21T06:18:26Z arXiv true arXiv Inspire 1499089 arXiv:1611.06107 eng Cui, Morris Berg, Steven A van den Bhattacharya, Nandini http://arxiv.org/pdf/1611.06107.pdf Preprint n 201647 Distance measurement in air without the precise knowledge of refractive index fluctuation 17 Nov 2016 mult. p The accuracy of long distance measurement in air is limited by the fluctuation of refractive index. In this paper, we propose a technique which allows us to measure an absolute distance in air without the knowledge of air turbulence. The technique is based on a femtosecond frequency comb. The fluctuation of the environmental conditions is monitored by two independently operating reference interferometers. The deviations of optical path lengths, caused by the fluctuation of air refractive index, is compensated by feedbacks from the reference interferometers. The measured optical path length is then locked to certain environmental conditions, determined at an optimized moment before the measurement process. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Detectors and Experimental Techniques arXiv Other Fields of Physics arXiv physics.ins-det LANL EDS physics.optics LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2233990 SzGeCERN 20170819033808.0 oai:arXiv.org:1611.05932 http://export.arxiv.org/oai2 2016-11-21 2016-11-21T06:15:07Z arXiv true arXiv arXiv:1611.05932 eng Oemler, Augustus Carnegie Observatories The Star Formation Histories of Disk Galaxies: the Live, the Dead, and the Undead 2016 17 Nov 2016 18 p Comments: 18 pages, 21 figures, submitted to ApJ We reexamine the systematic properties of local galaxy populations, using published surveys of star formation, structure, and gas content. After recalibrating star formation measures, we are able to reliably measure specific star formation rates well below the "main sequence" of star formation vs mass. We find an unexpectedly large population of galaxies with star formation rates intermediate between vigorously star-forming main sequence galaxies and passive galaxies, and with gas content disproportionately high for their star formation rates. Several lines of evidence suggest that these quiescent galaxies form a distinct population rather than a low star formation tail of the main sequence. We demonstrate that a tight main sequence, evolving with epoch, is a natural outcome of most histories of star formation and has little astrophysical significance, but that the quiescent population requires additional astrophysics to explain its properties. Using a simple model for disk evolution based on the observed dependence of star formation on gas content in local galaxies, and assuming simple histories of cold gas inflow, we show that the evolution of galaxies away from the main sequence can be attributed to the depletion of gas due to star formation after a cutoff in gas inflow. The quiescent population is composed of galaxies in which the density of disk gas has fallen below a threshold for disk stability. The evolution of galaxies beyond the quiescent state to gas exhaustion requires another process, probably wind-driven mass loss. The SSFR distribution of the quiescent and passive implies that the timescale of this process must be greater than a few Gyrs but less than a few tens of Gyrs. The environmental dependence of the galaxy populations is consistent with recent theory suggesting that cold gas inflows into galaxies are truncated at earlier times in denser environments. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Abramson, Louis E UCLA Gladders, Michael D U. Chicago/KICP Dressler, Alan Carnegie Observatories Poggianti, Bianca M Padova Astronomical Observatory/INAF Vulcani, Benedetta U. Melbourne http://arxiv.org/pdf/1611.05932.pdf Preprint n 201647 11 PREPRINT Hidden 2233893 SzGeCERN 20171102142456.0 DOI 10.1021/acs.jpcc.6b09559 oai:arXiv.org:1611.05683 http://export.arxiv.org/oai2 2016-11-18 2016-11-19T06:18:55Z arXiv true arXiv arXiv:1611.05683 eng Zen, Andrea Roch, Loïc M Cox, Stephen J Hu, Xiao L Sorella, Sandro Alfè, Dario Michaelides, Angelos http://arxiv.org/pdf/1611.05683.pdf Preprint n 201646 Toward Accurate Adsorption Energetics on Clay Surfaces 17 Nov 2016 Clay minerals are ubiquitous in nature, and the manner in which they interact with their surroundings has important industrial and environmental implications. Consequently, a molecular-level understanding of the adsorption of molecules on clay surfaces is crucial. In this regard computer simulations play an important role, yet the accuracy of widely used empirical force fields (FF) and density functional theory (DFT) exchange-correlation functionals is often unclear in adsorption systems dominated by weak interactions. Herein we present results from quantum Monte Carlo (QMC) for water and methanol adsorption on the prototypical clay kaolinite. To the best of our knowledge, this is the first time QMC has been used to investigate adsorption at a complex, natural surface such as a clay. As well as being valuable in their own right, the QMC benchmarks obtained provide reference data against which the performance of cheaper DFT methods can be tested. Indeed using various DFT exchange-correlation functionals yields a very broad range of adsorption energies, and it is unclear a priori which evaluation is better. QMC reveals that in the systems considered here it is essential to account for van der Waals (vdW) dispersion forces since this alters both the absolute and relative adsorption energies of water and methanol. We show, via FF simulations, that incorrect relative energies can lead to significant changes in the interfacial densities of water and methanol solutions at the kaolinite interface. Despite the clear improvements offered by the vdW-corrected and the vdW-inclusive functionals, absolute adsorption energies are often overestimated, suggesting that the treatment of vdW forces in DFT is not yet a solved problem. Comments: in J. Phys. Chem. C, (2016) http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Chemical Physics and Chemistry arXiv cond-mat.mtrl-sci arXiv Other Fields of Physics arXiv physics.chem-ph LANL EDS cond-mat.mtrl-sci LANL EDS physics.comp-ph LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2233795 SzGeCERN 20170819033806.0 oai:arXiv.org:1611.05686 http://export.arxiv.org/oai2 2016-11-18 2016-11-19T06:15:12Z arXiv true arXiv arXiv:1611.05686 eng De Looze, Ilse The interstellar medium in Andromeda's dwarf spheroidal galaxies: II. Multi-phase gas content and ISM conditions 2016 17 Nov 2016 20 p Comments: 20 pages, 9 figures, Author accepted manuscript. Accepted on 16/11/2016. Deposited on 17/11/2016 We make an inventory of the interstellar medium material in three low-metallicity dwarf spheroidal galaxies of the Local Group (NGC147, NGC185 and NGC205). Ancillary HI, CO, Spitzer IRS spectra, H{\alpha} and X-ray observations are combined to trace the atomic, cold and warm molecular, ionised and hot gas phases. We present new Nobeyama CO(1-0) observations and Herschel SPIRE FTS [CI] observations of NGC205 to revise its molecular gas content. We derive total gas masses of M_gas = 1.9-5.5x10^5 Msun for NGC185 and M_gas = 8.6-25.0x10^5 Msun for NGC205. Non-detections combine to an upper limit on the gas mass of M_gas =< 0.3-2.2x10^5 Msun for NGC147. The observed gas reservoirs are significantly lower compared to the expected gas masses based on a simple closed-box model that accounts for the gas mass returned by planetary nebulae and supernovae. The gas-to-dust mass ratios GDR~37-107 and GDR~48-139 are also considerably lower compared to the expected GDR~370 and GDR~520 for the low metal abundances in NGC 185 (0.36 Zsun) and NGC205 (0.25 Zsun), respectively. To simultaneously account for the gas deficiency and low gas-to-dust ratios, we require an efficient removal of a large gas fraction and a longer dust survival time (~1.6 Gyr). We believe that efficient galactic winds (combined with heating of gas to sufficiently high temperatures in order for it to escape from the galaxy) and/or environmental interactions with neighbouring galaxies are responsible for the gas removal from NGC147, NGC185 and NGC205. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Baes, Maarten Cormier, Diane Kaneko, Hiroyuki Kuno, Nario Young, Lisa Bendo, George J Boquien, Mederic Fritz, Jacopo Gentile, Gianfranco Kennicutt, Robert C Madden, Suzanne C Smith, Matthew W L Wilson, Christine D http://arxiv.org/pdf/1611.05686.pdf Preprint n 201646 11 PREPRINT Hidden 2233758 SzGeCERN 20170819033801.0 oai:arXiv.org:1611.05451 http://export.arxiv.org/oai2 2016-11-18 2016-11-19T06:15:12Z arXiv true arXiv arXiv:1611.05451 eng Darvish, Behnam Cosmic Web of Galaxies in the COSMOS Field: Public Catalog and Different Quenching for Centrals and Satellites 2016 16 Nov 2016 Comments: submitted to ApJ. comments welcome We use a mass complete (log($M/M_{\odot}$) $\geqslant$ 9.6) sample of galaxies with accurate photometric redshifts in the COSMOS field to construct the density field and the cosmic web to $z$=1.2. The comic web extraction relies on the density field Hessian matrix and breaks the density field into clusters, filaments and the field. We provide the density field and cosmic web measures to the community. We show that at $z$ $\lesssim$ 0.8, the median star-formation rate (SFR) in the cosmic web gradually declines from the field to clusters and this decline is especially sharp for satellites ($\sim$ 1 dex vs. $\sim$ 0.5 dex for centrals). However, at $z$ $\gtrsim$ 0.8, the trend flattens out for the overall galaxy population and satellites. For star-forming galaxies only, the median SFR is constant at $z$ $\gtrsim$ 0.5 but declines by $\sim$ 0.3-0.4 dex from the field to clusters for satellites and centrals at $z$ $\lesssim$ 0.5. We argue that for satellites, the main role of the cosmic web environment is to control their star-forming fraction, whereas for centrals, it is mainly to control their overall SFR at $z$ $\lesssim$ 0.5 and to set their fraction at $z$ $\gtrsim$ 0.5. We suggest that most satellites experience a rapid quenching mechanism as they fall from the field into clusters through filaments, whereas centrals mostly undergo a slow environmental quenching at $z$ $\lesssim$ 0.5 and a fast mechanism at higher redshifts. Our preliminary results highlight the importance of the large-scale cosmic web on galaxy evolution. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Mobasher, Bahram Martin, D Christopher Sobral, David Scoville, Nick Z Stroe, Andra Hemmati, Shoubaneh Kartaltepe, Jeyhan http://arxiv.org/pdf/1611.05451.pdf Preprint n 201646 11 PREPRINT Hidden 2233546 SzGeCERN 20171016220300.0 oai:arXiv.org:1611.04996 http://export.arxiv.org/oai2 2016-11-16 2016-11-17T06:24:47Z arXiv true arXiv Inspire 1498147 arXiv:1611.04996 eng Davis, John R Brubaker, Erik Vetter, Kai http://arxiv.org/pdf/1611.04996.pdf Preprint n 201646 Fast neutron background characterization with the Radiological Multi-sensor Analysis Platform (RadMAP) 15 Nov 2016 9 p In an effort to characterize the fast neutron radiation background, 16 EJ-309 liquid scintillator cells were installed in the Radiological Multi-sensor Analysis Platform (RadMAP) to collect data in the San Francisco Bay Area. Each fast neutron event was associated with specific weather metrics (pressure, temperature, absolute humidity) and GPS coordinates. The expected exponential dependence of the fast neutron count rate on atmospheric pressure was demonstrated and event rates were subsequently adjusted given the measured pressure at the time of detection. Pressure adjusted data was also used to investigate the influence of other environmental conditions on the neutron background rate. Using National Oceanic and Atmospheric Administration (NOAA) coastal area lidar data, an algorithm was implemented to approximate sky-view factors (the total fraction of visible sky) for points along RadMAPs route. Three areas analyzed in San Francisco, Downtown Oakland, and Berkeley all demonstrated a suppression in the background rate of over 50% for the range of sky-view factors measured. This effect, which is due to the shielding of cosmic-ray produced neutrons by surrounding buildings, was comparable to the pressure influence which yielded a 32% suppression in the count rate over the range of pressures measured. Comments: 9 pages, 16 figures. Submitted to Nucl. Instr. Meth. Phys. Res. A http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Detectors and Experimental Techniques arXiv physics.ins-det LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2233508 SzGeCERN 20170914220316.0 oai:arXiv.org:1611.04691 http://export.arxiv.org/oai2 2016-11-16 2016-11-17T06:24:47Z arXiv true arXiv arXiv:1611.04691 eng Ajoy, A Liu, Y X Cappellaro, P http://arxiv.org/pdf/1611.04691.pdf Preprint n 201646 DC Magnetometry at the $T_2$ Limit 14 Nov 2016 12+3 p Sensing static or slowly varying magnetic fields with high sensitivity and spatial resolution is critical to many applications in fundamental physics, bioimaging and materials science. Several versatile magnetometry platforms have emerged over the past decade, such as electronic spins associated with Nitrogen Vacancy (NV) centers in diamond. However, their high sensitivity to external fields also makes them poor sensors of DC fields. Indeed, the usual method of Ramsey magnetometry leaves them prone to environmental noise, limiting the allowable interrogation time to the short dephasing time T2*. Here we introduce a hybridized magnetometery platform, consisting of a sensor and ancilla, that allows sensing static magnetic fields with interrogation times up to the much longer T2 coherence time, allowing significant potential gains in field sensitivity. While more generally applicable, we demonstrate the method for an electronic NV sensor and a nuclear ancilla. It relies on frequency upconversion of transverse DC fields through the ancilla, allowing quantum lock-in detection with low-frequency noise rejection. In our experiments, we demonstrate sensitivities better than 6uT/vHz, comparable to the Ramsey method, and narrow-band signal noise filtering better than 64kHz. With technical optimization, we expect more than an one order of magnitude improvement in each of these parameters. Since our method measures transverse fields, in combination with the Ramsey detection of longitudinal fields, it ushers in a compelling technique for sensitive vector DC magnetometry at the nanoscale. Comments: 12+3 pages http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS General Theoretical Physics arXiv cond-mat.mes-hall arXiv Other Fields of Physics arXiv quant-ph LANL EDS cond-mat.mes-hall LANL EDS physics.atom-ph LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2233293 SzGeCERN 20170819033753.0 oai:arXiv.org:1611.04911 http://export.arxiv.org/oai2 2016-11-17 2016-11-17T06:17:11Z arXiv true arXiv arXiv:1611.04911 eng De Propris, R FINCA The K-band luminosity functions of cluster galaxies 2016 15 Nov 2016 10 p Comments: 10 pages, 6 figures plus on-line appendix. Accepted in MNRAS We derive the galaxy luminosity function in the $K_s$ band for galaxies in 24 clusters to provide a local reference for higher redshift studies and to analyse how and if the luminosity function varies according to environment and cluster properties. We use new, deep $K$ band imaging and match the photometry to available redshift information and to optical photometry from the SDSS or the UKST/POSS: $>80\%$ of the galaxies to $K \sim 14.5$ have measured redshifts. We derive composite luminosity functions, for the entire sample and for cluster subsamples . We consider the luminosity functions for red sequence and blue cloud galaxies. The full composite luminosity function has $K^*=12.79 \pm 0.14$ ($M_K=-24.81$) and $\alpha=-1.41 \pm 0.10$. We find that $K^*$ is largely unaffected by the environment but that the slope $\alpha$ increases towards lower mass clusters and clusters with Bautz-Morgan type $<$ II. The red sequence luminosity function seems to be approximately universal (within errors) in all environments: it has parameters $K^*=13.16 \pm 0.15$ ($M_K=-24.44$) and $\alpha=-1.00 \pm 0.12$ (for all galaxies). Blue galaxies do not show a good fit to a Schechter function, but the best values for its parameters are $K^*=13.51 \pm 0.41$ ($M_K=-24.09$) and $\alpha=-1.60 \pm 0.29$: we do not have enough statistics to consider environmental variations for these galaxies. We find some evidence that $K^*$ in clusters is brighter than in the field and $\alpha$ is steeper, but note this comparison is based (for the field) on 2MASS photometry, while our data are considerably deeper. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS http://arxiv.org/pdf/1611.04911.pdf Preprint n 201646 11 PREPRINT Hidden 2233259 SzGeCERN 20170819033751.0 oai:arXiv.org:1611.04609 http://export.arxiv.org/oai2 2016-11-16 2016-11-17T06:17:11Z arXiv true arXiv arXiv:1611.04609 eng Matsuki, Yasuhiro Environmental impacts on dust temperature of star-forming galaxies in the local Universe 2016 14 Nov 2016 13 p Comments: 13 pages, 13 figures, accepted for publication in MNRAS We present infrared views of the environmental effects on the dust properties in star-forming (SF) galaxies at z ~ 0, using the AKARI Far-Infrared Surveyor (FIS) all-sky map and the large spectroscopic galaxy sample from Sloan Digital Sky Survey (SDSS) Data Release 7 (DR7). We restrict the sample to those within the redshift range of 0.05 < z < 0.07 and the stellar mass range of 9.2 < log_10 (M_star/M_solar). We select SF galaxies based on their H_alpha equivalent width (EW_Ha> 4 A) and emission line flux ratios. We perform far-infrared (FIR) stacking analyses by splitting the SDSS SF galaxy sample according to their stellar mass, specific SFR (SSFR_SDSS), and environment. We derive total infrared luminosity (LIR) for each subsample using the average flux densities at WIDE-S (90 micron) and WIDE-L (140 micron) bands, and then compute IR-based SFR (SFR_IR) from L_IR. We find a mild decrease of IR- based SSFR (SSFR_IR) amongst SF galaxies with increasing local density (~0.1-dex level at maximum), which suggests that environmental effects do not instantly shut down the SF activity in galaxies. We also derive average dust temperature (T_dust) using the flux densities at 90 micron and 140 micron bands. We confirm a strong positive correlation between T_dust and SSFR_IR, consistent with recent studies. The most important finding of this study is that we find a marginal trend that T_dust increases with increasing environmental galaxy density. Although the environmental trend is much milder than the SSFR-T_dust correlation, our results suggest that the environmental density may affect the dust temperature in SF galaxies, and that the physical mechanism which is responsible for this phenomenon is not necessarily specific to cluster environments because the environmental dependence of T_dust holds down to relatively low-density environments. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Koyama, Yusei Nakagawa, Takao Takita, Satoshi http://arxiv.org/pdf/1611.04609.pdf Preprint n 201646 11 PREPRINT Hidden 2233251 SzGeCERN 20171107085222.0 oai:arXiv.org:1611.04596 http://export.arxiv.org/oai2 2016-11-16 2016-11-17T06:17:11Z arXiv true arXiv Inspire 1498041 arXiv:1611.04596 eng LIGO-P1600303 Zevin, Michael Coughlin, Scott Bahaadini, Sara Besler, Emre Rohani, Neda Allen, Sarah Cabero, Miriam Crowston, Kevin Katsaggelos, Aggelos Larson, Shane Lee, Tae Kyoung Lintott, Chris Littenberg, Tyson Lundgren, Andrew Oesterlund, Carsten Smith, Joshua Trouille, Laura Kalogera, Vicky http://arxiv.org/pdf/1611.04596.pdf Preprint n 201646 Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science 14 Nov 2016 27 p (abridged for arXiv) With the first direct detection of gravitational waves, the Advanced Laser Interferometer Gravitational-wave Observatory (LIGO) has initiated a new field of astronomy by providing an alternate means of sensing the universe. The extreme sensitivity required to make such detections is achieved through exquisite isolation of all sensitive components of LIGO from non-gravitational-wave disturbances. Nonetheless, LIGO is still susceptible to a variety of instrumental and environmental sources of noise that contaminate the data. Of particular concern are noise features known as glitches, which are transient and non-Gaussian in their nature, and occur at a high enough rate so that accidental coincidence between the two LIGO detectors is non-negligible. In this paper we describe an innovative project that combines crowdsourcing with machine learning to aid in the challenging task of categorizing all of the glitches recorded by the LIGO detectors. Through the Zooniverse platform, we engage and recruit volunteers from the public to categorize images of glitches into pre-identified morphological classes and to discover new classes that appear as the detectors evolve. In addition, machine learning algorithms are used to categorize images after being trained on human-classified examples of the morphological classes. Leveraging the strengths of both classification methods, we create a combined method with the aim of improving the efficiency and accuracy of each individual classifier. The resulting classification and characterization should help LIGO scientists to identify causes of glitches and subsequently eliminate them from the data or the detector entirely, thereby improving the rate and accuracy of gravitational-wave observations. We demonstrate these methods using a small subset of data from LIGO's first observing run. Comments: 27 pages, 11 figures, submitted to CQG http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS General Relativity and Cosmology arXiv Astrophysics and Astronomy arXiv Astrophysics and Astronomy arXiv Detectors and Experimental Techniques arXiv gr-qc LANL EDS astro-ph.HE LANL EDS astro-ph.IM LANL EDS physics.ins-det LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2233162 SzGeCERN 20180924164811.0 oai:cds.cern.ch:2233162 cerncds:FULLTEXT cerncds:CERN:FULLTEXT INIS cerncds:CERN 10.22323/1.287.0006 DOI Inspire 1615342 CMS-CR-2016-323 eng Fiori, Francesco INSPIRE-00170297 CCID-664352 Taiwan, Natl. Taiwan U. CMS Tracker operational experience 2016 Geneva CERN 06 Nov 2016 10 p The CMS Tracker was repaired, recalibrated and commissioned successfully for the second run of Large Hadron Collider. In 2015 the Tracker performed well with improved hit efficiency and spatial resolution compared to Run I. Operations successfully transitioned to lower temperatures after commissioning environmental control and monitoring. This year the detector is expected to withstand luminosities that are beyond its design limits and will need a combined effort of both online and offline team to yield the high quality data that is required to reach our physics goals. We present the experience gained during the second run of the LHC and show the latest performance results of the CMS Tracker. CC-BY-4.0 Preprint CERN EDS SzGeCERN Detectors and Experimental Techniques CMS General INTNOTE CERN PUBLCMS CERN LHC CMS PH CMS Collaboration 006 PoS Vertex2016 2017 C16-09-26 1255180 1643419 http://cds.cern.ch/record/2233162/files/CR2016_323.pdf https://pos.sissa.it/287/006/pdf PoS Server n 201647 13 2213443 006 labiodola20160925 PUBLIC INTNOTECMSPUBL ConferencePaper ARTICLE 2232986 SzGeCERN 20170904122206.0 oai:arXiv.org:1611.04223 http://export.arxiv.org/oai2 2016-11-15 2016-11-15T06:19:20Z arXiv true arXiv arXiv:1611.04223 eng Zachreson, Cameron Wolff, Christian Whitchurch, Cynthia Toth, Milos http://arxiv.org/pdf/1611.04223.pdf Preprint n 201646 Emergent pattern formation in an interstitial biofilm 13 Nov 2016 11 p Collective behavior of bacterial colonies plays critical roles in adaptability, survivability, biofilm expansion and infection. We employ an individual-based model of an interstitial biofilm to study emergent pattern formation based on the assumptions that rod-shaped bacteria furrow through a viscous environment, and excrete extracellular polymeric substances which bias their rate of motion. Because the bacteria furrow through their environment, the substratum stiffness is a key control parameter behind the formation of distinct morphological patterns. By systematically varying this property (which we quantify with a stiffness coefficient {\gamma}), we show that subtle changes in the substratum stiffness can give rise to a stable state characterized by a high degree of local order and long-range pattern formation. The ordered state exhibits characteristics typically associated with bacterial fitness advantages, even though it is induced by changes in environmental conditions rather than changes in biological parameters. Our findings are applicable to broad range of biofilms and provide insights into the relationship between bacterial movement and their environment, and basic mechanisms behind self-organization of biophysical systems. Comments: 11 pages, 7 figures http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Nonlinear Systems arXiv cond-mat.soft arXiv Other Fields of Physics arXiv nlin.AO LANL EDS cond-mat.soft LANL EDS physics.bio-ph LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2232787 SzGeCERN 20170819033742.0 oai:arXiv.org:1611.03870 http://export.arxiv.org/oai2 2016-11-15 2016-11-15T06:15:11Z arXiv true arXiv arXiv:1611.03870 eng van de Voort, Freeke UC Berkeley ASIAA HITS Yale The environmental dependence of gas accretion onto galaxies: quenching satellites through starvation 2016 11 Nov 2016 Comments: Submitted to MNRAS. Comments welcome Galaxies that have fallen into massive haloes may no longer be able to accrete gas from their surroundings, a process referred to as 'starvation' or 'strangulation' of satellites. We study the environmental dependence of gas accretion onto galaxies using the cosmological, hydrodynamical EAGLE simulation. We quantify the dependence of gas accretion on stellar mass, redshift, and environment, using halo mass and galaxy overdensity as environmental indicators. We find a strong suppression, by many orders of magnitude, of the gas accretion rate in dense environments, primarily for satellite galaxies. This suppression becomes stronger at lower redshift. However, the scatter in accretion rates is very large for satellites. This is (at least in part) due to the variation in halocentric radius, since gas accretion is more suppressed at smaller radii. Central galaxies are influenced less strongly by their environment and exhibit less scatter in their gas accretion rates. The star formation rates of both centrals and satellites show similar behaviour to their gas accretion rates. The relatively small differences between gas accretion and star formation rates demonstrate that galaxies generally exhaust their gas reservoir somewhat faster at higher stellar mass, lower redshift, and in denser environments. We conclude that the environmental suppression of gas accretion could directly result in the quenching of star formation. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Bahé, Yannick M MPA Bower, Richard G ICC Durham Correa, Camila A Leiden Crain, Robert A LJMU Schaye, Joop Leiden Theuns, Tom ICC Durham http://arxiv.org/pdf/1611.03870.pdf Preprint n 201646 11 PREPRINT Hidden 2231739 SzGeCERN 20171105100213.0 oai:arXiv.org:1611.02768 http://export.arxiv.org/oai2 2016-11-10 2016-11-10T06:21:09Z arXiv true arXiv arXiv:1611.02768 eng Aleta, Alberto Hisi, Andreia N S Meloni, Sandro Poletto, Chiara Colizza, Vittoria Moreno, Yamir http://arxiv.org/pdf/1611.02768.pdf Preprint n 201645 Human mobility networks and persistence of rapidly mutating pathogens 08 Nov 2016 29 p Rapidly mutating pathogens may be able to persist in the population and reach an endemic equilibrium by escaping hosts' acquired immunity. For such diseases, multiple biological, environmental and population-level mechanisms determine the dynamics of the outbreak, including pathogen's epidemiological traits (e.g. transmissibility, infectious period and duration of immunity), seasonality, interaction with other circulating strains and hosts' mixing and spatial fragmentation. Here, we study a susceptible-infected-recovered-susceptible model on a metapopulation where individuals are distributed in subpopulations connected via a network of mobility flows. Through extensive numerical simulations, we explore the phase space of pathogen's persistence and map the dynamical regimes of the pathogen following emergence. Our results show that spatial fragmentation and mobility play a key role in the persistence of the disease whose maximum is reached at intermediate mobility values. We describe the occurrence of different phenomena including local extinction and emergence of epidemic waves, and assess the conditions for large scale spreading. Findings are highlighted in reference to previous works and to real scenarios. Our work uncovers the crucial role of hosts' mobility on the ecological dynamics of rapidly mutating pathogens, opening the path for further studies on disease ecology in the presence of a complex and heterogeneous environment. Comments: 29 pages, 7 figures. Submitted for publication http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv q-bio.PE arXiv physics.soc-ph LANL EDS q-bio.PE LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2231732 SzGeCERN 20171102145535.0 DOI 10.1016/j.apenergy.2016.07.079 oai:arXiv.org:1611.02735 http://export.arxiv.org/oai2 2016-11-10 2016-11-10T06:21:09Z arXiv true arXiv arXiv:1611.02735 eng Jannelli, Nicole Nastro, Rosa Anna Cigolotti, Viviana Minutillo, Mariagiovanna Falcucci, Giacomo http://arxiv.org/pdf/1611.02735.pdf Preprint n 201645 Low pH, high salinity: too much for Microbial Fuel Cells? 04 Nov 2016 13 p Twelve single chambered, air-cathode Tubular Microbial Fuel Cells (TMFCs) have been filled up with fruit and vegetable residues. The anodes were realized by means of a carbon fiber brush, while the cathodes were realized through a graphite-based porous ceramic disk with Nafion membranes (117 Dupont). The performances in terms of polarization curves and power production were assessed according to different operating conditions: percentage of solid substrate water dilution, adoption of freshwater and a 35mg/L NaCl water solution and, finally, the effect of an initial potentiostatic growth. All TMFCs operated at low pH (pH$=3.0 \pm 0.5$), as no pH amendment was carried out. Despite the harsh environmental conditions, our TMFCs showed a Power Density (PD) ranging from 20 to 55~mW/m$^2 \cdot$kg$_{\text{waste}}$ and a maximum CD of 20~mA/m$^2 \cdot$kg$_{\text{waste}}$, referred to the cathodic surface. COD removal after a $28-$day period was about $45 \%$. The remarkably low pH values as well as the fouling of Nafion membrane very likely limited TMFC performances. However, a scale-up estimation of our reactors provides interesting values in terms of power production, compared to actual anaerobic digestion plants. These results encourage further studies to characterize the graphite-based porous ceramic cathodes and to optimize the global TMFC performances, as they may provide a valid and sustainable alternative to anaerobic digestion technologies. Comments: 13 pages, 10 Figures http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS q-bio.OT arXiv Other Fields of Physics arXiv Chemical Physics and Chemistry arXiv q-bio.OT LANL EDS physics.bio-ph LANL EDS physics.chem-ph LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2231229 SzGeCERN 20170819033717.0 oai:arXiv.org:1611.02502 http://export.arxiv.org/oai2 2016-11-09 2016-11-09T06:15:11Z arXiv true arXiv arXiv:1611.02502 eng Pilyugin, L S On the influence of the environment on galactic chemical abundances 2016 08 Nov 2016 17 p Comments: 17 pages, 12 figures, accepted to MNRAS We examine the influence of the environment on the chemical abundances of late-type galaxies with masses of 10^9.1 M_sun - 10^11 M_sun using data from the Sloan Digital Sky Survey(SDSS). We find that the environmental influence on galactic chemical abundances is strongest for galaxies with masses of 10^9.1 M_sun to 10^9.6 Msun. The galaxies in the densest environments may exceed the average oxygen abundances by about 0.05 dex (the median value of the overabundances for 101 galaxies in the densest environments) and show higher abundances in nitrogen by about 0.1. The abundance excess decreases with increasing galaxy mass and with decreasing environmental density. Since only a small fraction of late-type galaxies is located in high-density environments these galaxies do not have a significant influence on the general X/H - M relation. The metallicity - mass relations for isolated galaxies and for galaxies with neighbors are very similar. The mean shift of non-isolated galaxies around the metallicity - mass relation traced by the isolated galaxies is less than 0.01 dex for oxygen and less than 0.02 dex for nitrogen. The scatter in the galactic chemical abundances is large for any number of neighbor galaxies (at any environmental density), i.e., galaxies with both enhanced and reduced abundances can be found at any environmental density. This suggests that environmental effects do not play a key role in evolution of late-type galaxies as was also concluded in some of the previous studies. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Grebel, E K Zinchenko, I A Nefedyev, Y A Mattsson, L http://arxiv.org/pdf/1611.02502.pdf Preprint n 201645 11 PREPRINT Hidden 2231209 SzGeCERN 20170819033716.0 oai:arXiv.org:1611.02286 http://export.arxiv.org/oai2 2016-11-09 2016-11-09T06:15:11Z arXiv true arXiv Inspire 1496350 arXiv:1611.02286 eng Henriques, Bruno M B ETH-Zurich, MPA Galaxy formation in the Planck cosmology - IV. Mass and environmental quenching, conformity and clustering 2016 07 Nov 2016 21 p Comments: Submitted to MNRAS; 21 pages, 16 figures We study the quenching of star formation as a function of redshift, environment and stellar mass in the galaxy formation simulations of Henriques et al. (2015), which implement an updated version of the Munich semi-analytic model (L-GALAXIES) on the two Millennium Simulations after scaling to a Planck cosmology. In this model massive galaxies are quenched by AGN feedback depending on both black hole and hot gas mass, and hence indirectly on stellar mass. In addition, satellite galaxies of any mass can be quenched by ram-pressure or tidal stripping of gas and through the suppression of gaseous infall. This combination of processes produces quenching efficiencies which depend on stellar mass, host halo mass, environment density, distance to group centre and group central galaxy properties in ways which agree qualitatively with observation. Some discrepancies remain in dense regions and close to group centres, where quenching still seems too efficient. In addition, although the mean stellar age of massive galaxies agrees with observation, the assumed AGN feedback model allows too much ongoing star formation at late times. The fact that both AGN feedback and environmental effects are stronger in higher density environments leads to a correlation between the quenching of central and satellite galaxies which roughly reproduces observed conformity trends inside haloes. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS astro-ph.CO LANL EDS White, Simon D M MPA Thomas, Peter A Sussex Angulo, Raul E CEFCA Guo, Qi NAOC Lemson, Gerard JHU Wang, Wenting Durham http://arxiv.org/pdf/1611.02286.pdf Preprint n 201645 11 PREPRINT Hidden 2231154 SzGeCERN 20170819033713.0 oai:arXiv.org:1611.01791 http://export.arxiv.org/oai2 2016-11-08 2016-11-09T06:15:11Z arXiv true arXiv arXiv:1611.01791 eng Nishizuka, N Solar Flare Prediction Model with Three Machine-Learning Algorithms Using Ultraviolet Brightening and Vector Magnetogram 2016 06 Nov 2016 27 p Comments: 27 pages, 3 figures We developed a flare prediction model using machine learning, which is optimized to predict the maximum class of flares occurring in the following 24 h. Machine learning is used to devise algorithms that can learn from and make decisions on a huge amount of data. We used solar observation data during the period 2010-2015, such as vector magnetogram, ultraviolet (UV) emission, and soft X-ray emission taken by the Solar Dynamics Observatory and the Geostationary Operational Environmental Satellite. We detected active regions from the full-disk magnetogram, from which 60 features were extracted with their time differentials, including magnetic neutral lines, the current helicity, the UV brightening, and the flare history. After standardizing the feature database, we fully shuffled and randomly separated it into two for training and testing. To investigate which algorithm is best for flare prediction, we compared three machine learning algorithms: the support vector machine (SVM), k-nearest neighbors (k-NN), and extremely randomized trees (ERT). The prediction score, the true skill statistic (TSS), was higher than 0.9 with a fully shuffled dataset, which is higher than that for human forecasts. It was found that k-NN has the highest performance among the three algorithms. The ranking of the feature importance showed that the previous flare activity is most effective, followed by the length of magnetic neutral lines, the unsigned magnetic flux, the area of UV brightening, and the time differentials of features over 24 h, all of which are strongly correlated with the flux emergence dynamics in an active region. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.SR LANL EDS Sugiura, K Kubo, Y Den, M Watari, S Ishii, M http://arxiv.org/pdf/1611.01791.pdf Preprint n 201645 11 PREPRINT Hidden 2230992 SzGeCERN 20210421212635.0 9780262516181 print version, paperback oai:cds.cern.ch:2230992 cerncds:BOOK eng 502.1 502:5 Technoscience and environmental justice expert cultures in a grassroots movement Cambridge, MA MIT Press 2011 298 p paper SzGeCERN Commerce, Economics, Social Science BOOK Ottinger, Gwen ed. Cohen, Benjamin R ed. CERN Central Library 502.1 OTT h 201645 21 https://catalogue.library.cern/legacy/2230992 BOOK MIGRATED 2230781 SzGeCERN 20171106203411.0 oai:arXiv.org:1611.01407 http://export.arxiv.org/oai2 2016-11-07 2016-11-07T09:06:07Z arXiv true arXiv arXiv:1611.01407 eng Pryor, Kenneth L Miller, Steven D http://arxiv.org/pdf/1611.01407.pdf Preprint n 201645 Downburst Prediction Applications of GOES over the Western United States 04 Nov 2016 57 p Over the western United States, the hazards posed to aviation operations by convective storm-generated downbursts have been extensively documented. Other significant hazards posed by convective downbursts over the intermountain western U.S. include the rapid intensification and propagation of wildfires and the sudden generation of visibility-reducing dust storms (haboobs). The existing suite of GOES downburst prediction algorithms employs the GOES sounder to calculate potential of occurrence based on conceptual models of favorable environmental thermodynamic profiles for downburst generation. Previous research has demonstrated the effectiveness of the Dry Microburst Index (DMI) as a prediction tool for convectively generated high winds. A more recently-developed diagnostic nowcasting product, the Microburst Windspeed Potential Index (MWPI) is designed to diagnose attributes of a favorable downburst environment: 1) the presence of convective available potential energy (CAPE), and 2) the presence of a deep surface-based or elevated mixed layer with a large temperature lapse rate. This paper presents an updated assessment of the MWPI algorithm, case studies demonstrating effective operational use of the MWPI product, and recent validation results. MWPI data were collected for downburst events that occurred during the 2014 convective season and were validated against surface observations of convective wind gusts as recorded by wind sensors in high-quality mesonetworks. Favorable validation results include a statistically significant correlation (r > 0.6) and low mean error (< 1 kt) between MWPI values and confirmed downburst wind speeds measured in situ. Comments: 57 pages, 14 figures, submitted for publication in Weather and Forecasting http://creativecommons.org/publicdomain/zero/1.0/ arXiv LANL EDS Other Fields of Physics arXiv physics.ao-ph LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2230590 SzGeCERN 20170819033709.0 DOI 10.1017/S1743921316010504 oai:arXiv.org:1611.01222 http://export.arxiv.org/oai2 2016-11-09 2016-11-10T06:15:12Z arXiv true arXiv Inspire 1495810 arXiv:1611.01222 eng van de Weygaert, Rien Voids and the Cosmic Web: cosmic depressions & spatial complexity 2016 03 Nov 2016 28 p Comments: 28 pages, 13 figures, Proceedings of IAU Symposium 308 "The Zeldovich Universe: Genesis and Growth of the Cosmic Web", 23-28 June 2014, Tallinn, Estonia. arXiv admin note: text overlap with arXiv:0912.2997; text overlap with arXiv:1309.7059 by other authors without attribution Comments: 28 pages, 13 figures, Proceedings of IAU Symposium 308 "The Zeldovich Universe: Genesis and Growth of the Cosmic Web", 23-28 June 2014, Tallinn, Estonia. arXiv admin note: text overlap with arXiv:0912.2997; text overlap with arXiv:1309.7059 by other authors without attribution arXiv Voids form a prominent aspect of the Megaparsec distribution of galaxies and matter. Not only do they represent a key constituent of the Cosmic Web, they also are one of the cleanest probes and measures of global cosmological parameters. The shape and evolution of voids are highly sensitive to the nature of dark energy, while their substructure and galaxy population provides a direct key to the nature of dark matter. Also, the pristine environment of void interiors is an important testing ground for our understanding of environmental influences on galaxy formation and evolution. In this paper, we review the key aspects of the structure and dynamics of voids, with a particular focus on the hierarchical evolution of the void population. We demonstrate how the rich structural pattern of the Cosmic Web is related to the complex evolution and buildup of voids. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.CO LANL EDS http://arxiv.org/pdf/1611.01222.pdf Preprint n 201645 11 Comments: 28 pages, 13 figures, Proceedings of IAU Symposium 308 "The Zeldovich Universe: Genesis and Growth of the Cosmic Web", 23-28 June 2014, Tallinn, Estonia. arXiv admin note: text overlap with arXiv:0912.2997; text overlap with arXiv:1309.7059 by other authors without attribution PREPRINT Hidden 2230565 SzGeCERN 20170819033707.0 oai:arXiv.org:1611.01072 http://export.arxiv.org/oai2 2016-11-04 2016-11-07T09:01:09Z arXiv true arXiv Inspire 1495697 arXiv:1611.01072 eng Poudel, Anup The effect of cosmic web filaments on the properties of groups and their central galaxies 2016 03 Nov 2016 18 p Comments: 18 pages, 9 figures, Accepted for publication in Astronomy & Astrophysics (A&A) The nature versus nurture scenario in galaxy and group evolution is a long-standing problem not yet fully understood on cosmological scales. We study the properties of groups and their central galaxies in different large-scale environments defined by the luminosity density field and the cosmic web filaments. We use the luminosity density field constructed using 8 Mpc/h smoothing to characterize the large-scale environments and the Bisous model to extract the filamentary structures in different large-scale environments. We find differences in the properties of central galaxies and their groups in and outside of filaments at fixed halo and large-scale environments. In high-density environments, the group mass function has higher number densities in filaments compared to that outside of filaments towards the massive end. The relation is opposite in low-density environments. At fixed group mass and large-scale luminosity density, groups in filaments are slightly more luminous and their central galaxies have redder colors, higher stellar masses, and lower specific star formation rates than those outside of filaments. However, the differences in central galaxy and group properties in and outside of filaments are not clear in some group mass bins. We show that the differences in central galaxy properties are due to the higher abundances of elliptical galaxies in filaments. Filamentary structures in the cosmic web are not simply visual associations of galaxies, but rather play an important role in shaping the properties of groups and their central galaxies. The differences in central galaxy and group properties in and outside of cosmic web filaments are not simple effects related to large-scale environmental density. The results point towards an efficient mechanism in cosmic web filaments which quench star formation and transform central galaxy morphology from late to early types. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS astro-ph.CO LANL EDS Heinämäki, Pekka Tempel, Elmo Einasto, Maret Lietzen, Heidi Nurmi, Pasi http://arxiv.org/pdf/1611.01072.pdf Preprint n 201645 11 PREPRINT Hidden 2230549 SzGeCERN 20170819033706.0 oai:arXiv.org:1611.00896 http://export.arxiv.org/oai2 2016-11-04 2016-11-07T09:01:09Z arXiv true arXiv arXiv:1611.00896 eng Brown, Toby Cold gas stripping in satellite galaxies: from pairs to clusters 2016 03 Nov 2016 16 p Comments: 16 pages, 7 figures, 1 table, submitted with minor revisions to MNRAS In this paper we investigate environment driven gas depletion in satellite galaxies, taking full advantage of the atomic hydrogen (HI) spectral stacking technique to quantify the gas content for the entire gas-poor to -rich regime. We do so using a multi-wavelength sample of 10,600 satellite galaxies, selected according to stellar mass (log M$_{\star}$/M$_{\odot}$ $\geq$ 9) and redshift (0.02 $\leq$ z $\leq$ 0.05) from the Sloan Digital Sky Survey, with HI data from the Arecibo Legacy Fast ALFA (ALFALFA) survey. Using key HI-to-stellar mass scaling relations, we present evidence that the gas content of satellite galaxies is, to a significant extent, dependent on the environment in which a galaxy resides. For the first time, we demonstrate that systematic environmental suppression of gas content at both fixed stellar mass and fixed specific star formation rate (sSFR) in satellite galaxies begins in halo masses typical of the group regime (log M$_{h}$/M$_{\odot}$ < 13.5), well before galaxies reach the cluster environment. We also show that environment driven gas depletion is more closely associated to halo mass than local density. Our results are then compared with state-of-the-art semi-analytic models and hydrodynamical simulations and discussed within this framework, showing that more work is needed if models are to reproduce the observations. We conclude that the observed decrease of gas content in the group and cluster environments cannot be reproduced by starvation of the gas supply alone and invoke fast acting processes such as ram-pressure stripping of cold gas to explain this. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Catinella, Barbara Cortese, Luca Lagos, Claudia del P Dave, Romeel Kilborn, Virginia Haynes, Martha P Giovanelli, Riccardo Rafieferantsoa, Mika http://arxiv.org/pdf/1611.00896.pdf Preprint n 201645 11 PREPRINT Hidden 2230479 SzGeCERN 20161206224614.0 9783319314815 129 (NL),129 (1U) electronic version EBL 4722300 eng QA75.5-76.95 004 Barceló, Juan A Simulating prehistoric and ancient worlds Cham Springer International 2016 405 p Computational social sciences Contents -- 1 Simulating the Past for Understanding the Present. A Critical Review -- 1.1 Introduction to an Introduction -- 1.1.1 A "New" Way of Understanding Human History? -- 1.1.2 The Past as a Virtual Model -- 1.1.3 Testing the Virtual Model -- 1.2 Recreating the Past in the Computer -- 1.2.1 From Animality to Humanity -- 1.2.2 Hunting-and-Gathering in the Past Explains How We Have Survived Until the Present -- 1.2.3 Rationality Within the Computer. The Myth of the Stupid Prehistoric Savages 1.2.4 What Made Humans Really Human? Cooperation and "Collective" Action at the Dawn of Humanity -- 1.2.5 The Myth of the Good Prehistoric Savage: The Origins of Social Differentiation and Complexity -- 1.2.6 Simulating Economic, Social and Cultural Change in Prehistory. Why Humans Have Made Life so Complex and Difficult -- 1.2.7 Why Humans Have Made Life Even More Complex and Difficult. The Making of the State and the Origins of Class Struggle -- 1.2.8 Simulating Social Life After Prehistory -- 1.2.9 Simulating the Recent Past -- 1.3 Predicting the Future 1.4 Conclusions. Rethinking the Way the Past Can Be Made Understandable -- Acknowledgments -- References -- 2 Multi-scale Agent-Based Simulation of Long-Term Dispersal Processes: Towards a Sophisticated Simulation Model of Hominin Dispersal -- 2.1 Introduction -- 2.2 Understanding Hominin Dispersal -- 2.3 Agent-Based Computer Simulation -- 2.3.1 Software Agents -- 2.3.2 Agent-Based Modeling and Simulation -- 2.4 Modeling Dispersal Processes -- 2.5 Environmental Abstraction -- 2.6 Challenges for Scaling Agent-Based Modeling -- 2.7 Conclusions -- References 3 An Agent-Based Model of Resource Distribution on Hunter-Gatherer Foraging Strategies: Clumped Habitats Favor Lower Mobility, but Result in Higher Foraging Returns -- 3.1 Introduction -- 3.2 Model Description -- 3.2.1 Strategies of Camp Movement -- 3.2.2 Alternative Landscapes -- 3.3 Analysis -- 3.4 Conclusions -- Acknowledgments -- References -- 4 Testing Brantingham's Neutral Model: The Effect of Spatial Clustering on Stone Raw Material Procurement -- 4.1 Introduction -- 4.2 Test Case and Model Description -- 4.2.1 Mossel Bay Region -- 4.2.2 Model Description 4.3 Model Analysis Results and Discussion -- 4.3.1 Assuming 5000 Unique Raw Materials -- 4.3.2 Assuming 20 Unique Raw Materials -- 4.4 Archaeological Implications and Predictions -- Acknowledgments -- References -- 5 Population Spread and Cultural Transmission in Neolithic Transitions -- 5.1 Introduction -- 5.2 Limitations of Fisher's Model -- 5.3 Possible Forms of the Cultural Transmission Term -- 5.4 Europe -- 5.5 Southern Africa -- 5.6 Conclusion -- Acknowledgment -- References -- 6 Modelling Routeways in a Landscape of Esker and Bog -- 6.1 Introduction -- 6.2 The Study Area -- 6.2.1 Eskers 6.2.2 Bogs Del Castillo, Florencia 9783319314792 print version oai:cds.cern.ch:2230479 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4722300 ebook ebook XX SzGeCERN EBL201611 BOOK n 201644 201611 21 PUBLIC BOOK DELETED 2230465 SzGeCERN 20170906005810.0 9783319339573 99.99 (NL),99.99 (1U) electronic version EBL 4720745 eng QC71.82-73.8 621.042 Weiss, Barbara Environmental risk mitigation coaxing a market in the battery and energy supply and storage industry Cham Springer International 2016 283 p Contents -- List of Figures -- List of Tables -- 1: Introduction -- 2: Environmental Risk and Sustainability -- ERI Right Side: Risk Indicators -- ERI Left Side: Sustainability Indicators -- 3: Economic Growth, Technological Development, and Environmental Performance -- 4: Decarbonization and Clean Energy Technology Research and Development -- The Case of Graphene Technology -- 5: Climate Change Mitigation and Clean Energy Technology Policies -- Climate Change Mitigation (CCM) Policies -- International Scheme -- Risks and Uncertainties Barriers to Renewable Energy Policymaking, Implementation and Financing -- Market Failure and Other Economic Barriers -- Information and Awareness Barriers -- Socio-Cultural Barriers -- Existing Institutional and Policy Barriers -- Policies to Overcome Barriers -- Supply-Push Policies -- Demand-Pull Policies -- Clean Energy R&D and Deployment Policies -- CET Policies -- Policy Uncertainty -- 6: Clean Energy Technology: Investment and Investment Financing in Renewable Energy, Batteries, Energy Supply and Storage -- Market Making: The Banking System -- Capital Markets: Debt and Equity Financing Financial Markets: Funds, Institutional Investors, M&As -- CET Investment Financing Going Forward -- 7: Battery and Energy Supply and Storage Technology Frontier -- B|ESST Frontier -- B|ESST Development-Application Trajectory -- The Tesla "Spark" -- 8: Coaxing a Market: Environmental-Societal-­Financial Sustainability Interfaces -- Environmental-Societal-Financial (E-S-F) Sustainability Interfaces -- Case|Interface 1 (C|I1) -- Case|Interface 2 (C|I2) -- US Electricity Markets -- EU Electricity Markets -- Japan's Electricity Markets -- Case|Interface 3 (C|I3) Environmental Risk Analysis, Assessment, Adaptation and Mitigation -- Catastrophic Risk and Disaster Risk -- 9: Conclusion -- Appendix 1 -- Appendix 2 -- References -- Index Obi, Michiyo 9783319339566 print version oai:cds.cern.ch:2230465 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4720745 ebook ebook XX SzGeCERN EBL201611 BOOK n 201644 201611 21 PUBLIC BOOK DELETED 2230441 SzGeCERN 20210421212646.0 9783319457598 print version 9783319457611 electronic version electronic version DOI 10.1007/978-3-319-45761-1 ebook oai:cds.cern.ch:2230441 cerncds:BOOK eng QC1-75 530 Smirnova, Olga A Environmental radiation effects on mammals a dynamical modeling approach 2nd ed. Cham Springer 2016 374 p ebook Physics and astronomy SPR201701 EBLlink deleted SzGeCERN Health Physics and Radiation Effects BOOK 1st ed. 2010 1338736 edition 201611 SPR n 201644 21 PUBLIC https://catalogue.library.cern/legacy/2230441 BOOK MIGRATED 2230430 SzGeCERN 20210421212647.0 9789814463782 print version 9789814463799 electronic version 269.93 (NL),224.94 (3U),179.95 (1U) electronic version oai:cds.cern.ch:2230430 cerncds:BOOK EBL 4717703 eng TJ808 621.042 He, Junhui Nanomaterials in energy and environmental applications Milton Pan Stanford Publ. 2016 549 p ebook EBL201611 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4717703 ebook n 201644 201611 21 PUBLIC https://catalogue.library.cern/legacy/2230430 BOOK MIGRATED 2230359 SzGeCERN 20210421212701.0 9781634855150 print version 9781634855440 electronic version 375 (NL),375 (UA),325 (3U),250 (1U) electronic version oai:cds.cern.ch:2230359 cerncds:BOOK EBL 4713614 eng TJ159.5.A383 2016 621.04200000000003 Acosta, Morena J Advances in energy research Hauppauge, NY Nova Science Publ. 2016 228 p ebook Advances in energy research 24 Contents -- Preface -- Chapter 1 -- Photovoltaic-Green Roofs: Critical Factors, Experimental Studies and Life-Cycle Environmental Profile -- Abstract -- 1. Introduction -- 2. Factors Affecting PV-Green Roof Performance -- 2.1. Plant/PV Interaction and PV Output Increase -- 2.1.1. Theoretical/Modeling Studies about PV-Green Roofs -- 2.1.2. Experimental Studies about PV-Green Roofs -- 2.2. The Role of Albedo -- 2.2.1 Studies about PV-Green Roofs -- 2.2.2. Studies about Simple (without PVs) Green Roofs -- 2.3. Advantages of PV-Green Roof during Operational Phase of the Building 2.3.1. Benefits Related to the Soil/Plant Layer -- 2.3.2. Benefits Related to Plant/PV Interaction -- 2.3.3. Additional Benefits -- 2.4. Plant Species Suitable for PV-Green Roof Applications -- 2.5. Substrate Characteristics and the Role of Plant Species Coexistence -- 2.6. Options for the Improvement of PV-Green Roof Cost-Effectiveness -- 2.7. Summary of Multiple Issues about PV-Green Roof -- 3. Experimental Issues Related to PV-Green Roofs -- 3.1. General Information about an Experimental Study for PV-Green Roofs in Spain -- 3.2. Electrical Performance 3.2.1. Experimental Study for the Case of Spain -- 3.2.2. Experimental Studies for Several Climatic Conditions -- 3.3. Thermal Performance -- 3.3.1. Experimental Study for the Case of Spain -- 3.3.2. Experimental Studies for Several Climatic Conditions -- 3.4. Analysis in Terms of Incident Irradiance -- 3.4.1. Experimental Study for the Case of Spain -- 3.4.2. Experimental Studies for Several Climatic Conditions -- 4. LCA and Environmental Issues Related to PV-Green Roofs -- 4.1. LCIA Methodologies and Environmental Indicators -- 4.2. A Study Based on EI99, IMPACT 2002+, CED 4.3. A Study Based on IPCC 2013 GWP, ReCiPe, Ecological Footprint, USEtox -- 4.3.1. General Information about the Study -- 4.3.2. PV-Green Roof: Impact Due to Material Manufacturing -- 4.3.3. PV-Green vs. PV-Gravel and PV-Bitumen Roofs -- 4.4. LCA Studies about Simple (without PVs) Green Roofs -- Conclusion -- References -- Chapter 2 -- Benefits of Green Roof Systems: Energy Savings, Stormwater Control, and Economic -- Abstract -- Introduction -- Thermal Benefits -- Stormwater Benefits -- Economic Benefits -- Energy Savings -- Theory -- Example Experimental Work -- Results -- Stormwater Benefits Experimental Work -- Results -- Economic Savings -- References -- Biographical Sketch -- Biographical Sketch -- Biographical Sketch -- Professional Awards: -- Chapter 3 -- Technical Management and Automation Systems Applied for Energy Efficiency Improvement in Service Buildings -- Abstract -- Acronyms and Variables Used -- List of Acronyms -- List of Variables -- List of Indices of Variables -- 1. Introduction -- 2. Overview of Building Management Systems -- 2.1. Basic Structure -- 2.2. Communication -- 2.3. Programming 3. Building Management Systems Applied to Improve Energy Efficiency in Service Buildings EBL201611 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4713614 ebook n 201644 201611 21 PUBLIC https://catalogue.library.cern/legacy/2230359 BOOK MIGRATED 2230317 SzGeCERN 20210421212708.0 9781315354712 electronic version 224.93 (NL),187.44 (3U),149.95 (1U) electronic version 9781482298758 print version oai:cds.cern.ch:2230317 cerncds:BOOK EBL 4710193 eng TK7872.D48.S635 2017 4.5999999999999996 Pal, Sankar K Soft computing applications in sensor networks Milton CRC Press 2016 306 p ebook Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- List of Figures -- List of Tables -- Editors -- Contributors -- I Introduction -- 1 Introduction to Wireless Sensor Networks -- 1.1 Introduction -- 1.2 Classification of WSNs -- 1.2.1 Specific Applications -- 1.2.2 Transmission Media: Radio Frequency, Acoustic, and Others -- 1.2.3 Types of Nodes: Static, Mobile, and Multimedia -- 1.2.4 Types of Networks -- 1.3 Applications of WSNs -- 1.3.1 Military -- 1.3.2 Environmental -- 1.3.3 Health Care -- 1.3.4 Industrial -- 1.3.5 Agriculture 1.3.6 Vehicular Networks -- 1.3.7 Smart Homes -- 1.4 Key Factors -- 1.4.1 System Requirements -- 1.4.2 Categories of WSNs -- 1.4.3 Protocol Stack of WSNs -- 1.4.4 Topology Management -- 1.4.5 Coverage -- 1.4.6 Important Factors Related to Communication -- 1.4.7 Fault Tolerance -- 1.4.8 Security -- 1.5 Concluding Remarks -- Bibliography -- 2 Advances in Soft Computing -- 2.1 Introduction -- 2.1.1 Basic Concept of Soft Computing -- 2.1.2 Hybrid Computing -- 2.2 Fuzzy Logic -- 2.2.1 Basic Concept of Fuzzy Logic -- 2.2.2 Fuzzy Logic Controller -- 2.2.2.1 Fuzzification -- 2.2.2.2 Defuzzication 2.3 Artificial Neural Networks -- 2.3.1 Basic Concepts -- 2.3.2 Neural Network Architecture -- 2.3.3 ANN Training and Learning -- 2.3.3.1 Types of Learning -- 2.3.3.2 Single Layer Feed Forward NN Training -- 2.4 Evolutionary Algorithms -- 2.4.1 Traditional Approaches to Optimization Problems -- 2.4.1.1 Evolutionary Computing -- 2.4.1.2 Genetic Algorithm (GA) -- 2.4.2 Multiobjective Optimization -- 2.4.2.1 GA-Based Multiobjective Optimization -- Bibliography -- II Fundamental Topics -- 3 Evolution of Soft Computing Applications in Sensor Networks -- 3.1 Introduction 3.2 Overview of Soft Computing and its Applications -- 3.2.1 Definition of Soft Computing -- 3.2.2 Soft Computing and Hybridization -- 3.2.3 Key Elements of Soft Computing -- 3.2.4 Significance of Soft Computing -- 3.2.5 Goals of Soft Computing -- 3.2.6 Applications of Soft Computing -- 3.3 Sensor Networks and Soft Computing Applications -- 3.3.1 Intrusion Detection -- 3.3.2 Localization -- 3.3.3 Optimization of WSNs -- 3.3.4 Applied Systems -- 3.4 Case Studies: Varied Implementation of Soft Computing Applications in Sensor Networks 3.4.1 Case Study 1: Smart Node Model for Wireless Sensor Network -- 3.4.1.1 Smart Node in WSN Control -- 3.4.2 Using SN for Fuzzy Data Base Designing -- 3.4.2.1 Using SN for Data Aggregation and Fusion -- 3.4.3 Case Study 2: Soft Computing Protocols for WSN Routing -- 3.4.3.1 Reinforcement Learning -- 3.4.3.2 Swarm Intelligence -- 3.4.3.3 Evolutionary Algorithms -- 3.4.3.4 Fuzzy Logic -- 3.4.3.5 Neural Networks -- 3.4.3.6 Artificial Immune Systems -- 3.5 Future Scope of Soft Computing Applications in Sensor Networks -- 3.6 Summary -- Bibliography 4 Soft Computing Approaches in WSN Routing Protocols EBL201611 XX SzGeCERN BOOK Misra, Sudip https://cds.cern.ch/auth.py?r=EBLIB_P_4710193 ebook n 201644 201611 21 PUBLIC https://catalogue.library.cern/legacy/2230317 BOOK MIGRATED 2230245 SzGeCERN 20170615235953.0 9781780465135 19.95 (NL),29.93 (UA),19.95 (1U) electronic version EBL 4698788 eng QB601.9 523.4 Cattermole, Peter Introducing the planets and their moons Edinburgh Dunedin Academic Press 2014 165 p Introducing earth and environmental sciences Dedication Page -- Copyright Page -- Contents -- Preface -- List of tables and illustrations -- Chapter 1: Introduction -- Chapter 2: The origin of the Solar System -- Chapter 3: Planets and their orbits -- Chapter 4: Planetary differentiation -- Chapter 5: Magnetic fields -- Chapter 6: Planetary atmospheres -- Chapter 7: Geological development of the Inner Planets -- Chapter 8: Volcanism within the inner Solar System -- Chapter 9: Earth's Moon -- Chapter 10: The outer planets -- Chapter 11: Outer planet moons - Jupiter and Saturn -- Chapter 12: Outer planet moons - Uranus and Neptune Epilogue -- Appendix 1 - Phobos and Deimos -- Appendix 2 - Planetary stratigraphic timescales -- Glossary -- Further reading 9781780460291 print version oai:cds.cern.ch:2230245 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4698788 ebook ebook XX SzGeCERN EBL201611 BOOK n 201644 201611 21 PUBLIC BOOK DELETED 2230244 SzGeCERN 20170811001654.0 9781780460253 19.95 (NL),29.93 (UA),19.95 (1U) electronic version EBL 4698510 eng QB44.3 520 Nicolson, Iain Introducing astronomy Edinburgh Dunedin Academic Press 2014 176 p Introducing earth and environmental sciences Title page -- Imprint page -- Contents -- Acknowledgements -- List of tables and illustrations -- Preface -- 1 Our place in space -- 2 The changing sky -- 3 Planets and orbits -- 4 The Sun -- 5 The Sun's domain -- 6 Stars - their properties and variety -- 7 Interstellar clouds and the birth, life and death of stars -- 8 Galaxies -- 9 The evolving Universe -- 10 Exoplanets and the conditions for life -- 11 Tools of the trade -- Glossary -- Further reading print version oai:cds.cern.ch:2230244 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4698510 ebook ebook XX SzGeCERN EBL201611 BOOK n 201644 201611 21 PUBLIC BOOK DELETED 2230223 SzGeCERN 20210421212723.0 9783319406022 print version 9783319406039 electronic version 29.99 (NL),29.99 (1U) electronic version oai:cds.cern.ch:2230223 cerncds:BOOK EBL 4694731 eng QB981.E974 2017 523.1 Eyres, Harry Seeing our planet whole Cham Springer 2016 143 p ebook Acknowledgements -- Contents -- 1: Introduction -- Know Thyself -- Observing the Earth as a Totality -- The Ecological Crisis -- 2: Cosmology and Astronomy from Prehistory to the Roman Empire -- The Timaeus and the Old Testament -- Greek Philosophy, Religion, Tragedy -- Hellenistic and Babylonian Astronomy -- Rome -- 3: Aquinas to Newton -- Aquinas -- The Great Chain of Being -- The New Science and Philosophy: Copernicus, Galileo, Bacon, Descartes -- Galileo -- Francis Bacon: The New Philosophy -- The Mechanisation of Nature: Descartes -- Dissenting Voices: More, Hermeticism -- Newton Kepler's Harmony of the World and Newton's Alchemical Works -- Globes -- 4: The Enlightenment, The Romantic Rebellion, The Industrial Age, The Nature Conservation Movement, The Twentieth Century and Total War -- Diderot -- Swift -- The Romantic Rebellion -- Wordsworth -- Goethe -- The Modern Prometheus -- The Industrial Revolutions and The Industrial Age -- The Luddites -- The Industrial Age and The Victorian Reform Movement: Ruskin, William Morris -- The Nature Conservation Movement -- The Twentieth Century: World War, Total Devastation, the Rise of the Environmental Movement 5: The Post-War Period and the Rise of Ecological Consciousness -- Silent Spring and Earthrise: The "First Wave" of Environmentalism -- Philosophical Background to Green Politics: Deep Ecology, Arne Naess, Aldo Leopold, Heidegger/Enframing -- The Later 1970s and 1980s: The Concept of Sustainability -- The Rise of Neo-liberalism -- Global Warming or Climate Change -- The Backlash: The Rise of Denialism -- Our Growing Estrangement from the Natural World -- Rewilding -- 6: Wider Attitudes to Environment -- Islam, Persia -- Sufi Poetry -- Zoroastrianism -- Taoism -- Buddhism -- Wabi-sabi Hinduism and Jainism -- Egypt -- Yoruba -- San -- Pre-Columbian and Native American Cultures' Attitudes to Environment -- Australasia -- Conclusion -- 7: The Slow Evolution of Environmental Ethics -- Aristotelian Ethics -- New Testament Environmental Ethics -- Saint Francis of Assisi -- Spinoza -- Kant -- Self and Other: Hegel, Merleau-Ponty, Levinas -- Hegel -- Merleau-Ponty -- Levinas: Responsibility for the Other -- Pope Francis: Laudato Si -- The Globalization of Ethics -- Intra- and Inter-Generational Justice -- The Ethics of Discounting -- Beyond Legality and Instrumentality Speciesism: Peter Singer -- Animal Rights -- Conclusion -- 8: A Short History of Earth Observation -- The Earliest Times -- Balloons -- Aerial Photography -- The First Satellites -- The Global Weather Experiment -- From Metsats to Earth Observation -- EUMETSAT -- Enter the EU: Towards GMES/Copernicus -- Baveno and Kyoto -- European Responsibility -- Values and Principles -- International Co-operation: GEO and GEOSS -- Conclusion -- 9: The Resistances -- The "Merchants of Doubt" Thesis -- "Big Tobacco"'s Attempt to Undermine the link Between Tobacco-Smoking and Cancer -- Science and Uncertainty Tobacco and Uncertainty EBL201611 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4694731 ebook n 201644 201611 21 PUBLIC https://catalogue.library.cern/legacy/2230223 BOOK MIGRATED 2230209 SzGeCERN 20210421212725.0 1119232058 9781119232056 9781119232087 9781119232070 oai:cds.cern.ch:2230209 cerncds:BOOK SAFARI 9781119232056 eng QA76.9.C55.M378 2016 5.7137690000000001 Leonard, Clifton Mastering Microsoft Exchange Server 2016 2nd ed. Somerset Wiley 2016 819 p ebook Cover -- Title Page -- Copyright -- Contents at a Glance -- Contents -- Introduction -- Part 1 Exchange Fundamentals -- Chapter 1 Putting Exchange Server 2016 in Context -- Email's Importance -- How Messaging Servers Work -- What Is Exchange Server? -- About Messaging Services -- Many Modes of Access -- How Messaging Services Are Used -- The Universal Inbox -- Architecture and Core Functionality Overview -- The Extensible Storage Engine -- Exchange and Active Directory -- Controlling Mailbox Growth -- Personal Folders or PST Files -- Email Archiving -- Public Folders Things Every Email Administrator Should Know -- A Day in the Life of the Email Administrator -- Daily Administrative Tasks -- Communicating with Your Users -- Preparing Reports -- Scheduled Downtime, Patches, and Service Packs -- Finding Answers -- Helpful Resources -- Calling for Support -- Tools You Should Know -- The Bottom Line -- Chapter 2 Introducing the Changes in Exchange Server 2016 -- Getting to Know Exchange Server 2016 -- Exchange Server Architecture -- Windows Server 2012 R2 and Exchange Server 2016 -- Server Roles -- The Mailbox Server Role -- The Edge Transport Server Role Client Connectivity -- Hybrid Improvements -- OneDrive for Business Integration -- Performance -- Improved Policy and Compliance Features -- Data Loss Prevention (DLP) -- eDiscovery and Public Folders -- eDiscovery and Compliance Search -- Message Transport Rules -- New and Improved Outlook on the Web -- Overview of Changes Since Exchange Server 2013 -- Now, Where Did That Go? -- Features No Longer Included -- Exchange Server 2010 Features Removed from Exchange Server 2016 -- Exchange Server 2013 Features Removed from Exchange Server 2016 -- Clearing Up Some Confusion -- The Bottom Line Chapter 3 Understanding Availability, Recovery, and Compliance -- Changing from a Technology to a Business Viewpoint -- What's in a Name? -- Backup and Recovery -- Disaster Recovery -- Location, Location, Location -- On-Premises Recovery Solutions -- Off-Premises Recovery Solutions -- Management Frameworks -- ITIL -- MOF -- A Closer Look at Availability -- Service Availability -- Network Availability -- Data Availability -- Storage Availability -- An Overview of Exchange Storage -- Direct Attached Storage -- Storage Area Networks -- Compliance and Governance -- The Bottom Line Chapter 4 Virtualizing Exchange Server 2016 -- Virtualization Overview -- Terminology -- Understanding Virtualized Exchange -- Understanding Your Exchange Environment -- Effects of Virtualization -- Environmental Impact -- Space Impact -- Complexity Impact -- Additional Considerations -- Virtualization Requirements -- Hardware Requirements -- Software Requirements -- Operations -- Deciding When to Virtualize -- Deciding What to Virtualize -- Exchange Roles -- Testing -- Possible Virtualization Scenarios -- Small Office/Remote or Branch Office -- Site Resilience -- Mobile Access -- The Bottom Line Chapter 5 Introduction to PowerShell and the Exchange Management Shell SAF201702 EBLlink deleted XX SzGeCERN BOOK Svidergol, Brian Wright, Byron Meloski, Vladimir https://learning.oreilly.com/library/view/-/9781119232056/?ar ebook n 201644 201611 21 PUBLIC https://catalogue.library.cern/legacy/2230209 BOOK MIGRATED 2230070 SzGeCERN 20171013220653.0 9780262305488 63.75 (NL),76.5 (UA),63.75 (3U),51 (1U) electronic version EBL 3339504 eng QA76.59 -- .B427 2012eb 004 Bentley, Frank Building mobile experiences Cambridge, MA The MIT Press 2012 168 p Contents -- Chapter 1. Introduction -- Social Connection -- Live Environmental Capture -- Contextual Sensing -- Chapter 2. The User-Centered Design Process Applied to Mobile -- Process of User-Centered Design -- Generative Research Methods -- Design Methods -- Rapid Prototyping and Field Evaluation of New Concepts -- Commercial Deployments -- Evaluating the Results of All Methods -- Chapter 3. Discovering What to Build -- The Process of Generative Research -- Defining Research Questions -- Using Probes -- Logging and Conversation Analysis -- Home Tours/Field Visits -- Task Analysis Semi-structured Interviews -- Recruiting Users -- Conducting the Research -- Affinity Analysis -- Discount Methods -- Chapter 4. Rapid Iterative Prototyping -- Build Only What You Need -- Build the Experience, Not the Technology -- Build It Sturdy (Enough) -- Other Pitfalls -- Discount Methods -- Chapter 5. Using Specific Mobile Technologies -- Location -- Data -- Bluetooth -- Environmental Capture -- Chapter 6. Mobile Interaction Design -- Modeling -- Structure and Flow -- Designing the Screen: Interface Design Principles -- Chapter 7. Usability Evaluation -- Lab Usability Evaluations Paper Prototypes -- Chapter 8. Field Testing -- Social Groups for Social Tech -- Real Context of Use -- Primary Device -- Field-Based Data Collection -- Discount Methods -- Chapter 9. Distributing Mobile Applications: Putting It All Together -- Beta Releases -- Scalability -- Instrumentation -- Ethics of Large-Scale Research -- Revenue -- Upgrades -- Chapter 10. Conclusion -- Acknowledgments -- Frank Bentley -- Ed Barrett -- Author Bios -- References -- Index Methods for new mobile experiences, from concept creation to prototyping to commercialization. Barrett, Edward 9780262017930 print version oai:cds.cern.ch:2230070 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3339504 ebook ebook EBL Application software -- Development EBL Mobile communication systems -- Equipment and supplies EBL Mobile computing XX SzGeCERN EBL201611 BOOK n 201644 201611 21 PUBLIC BOOK DELETED 2230061 SzGeCERN 20170113223218.0 9781118576816 301.43 (NL),301.43 (3U),200.95 (1U) electronic version EBL 1784135 eng QA913 -- .T373 2014eb 532.0527 Tardu, Sedat Transport and coherent structures in wall turbulence Somerset Wiley 2014 490 p Cover page -- Half-Title page -- Title page -- Copyright page -- Contents -- Introduction -- Main Notations -- Roman letters -- Subscript and superscript notation -- Vectorial operators -- Greek symbols -- Abbreviations -- 1: General Points -- 1.1. Introduction -- 1.2. General equations -- 1.2.1. Eulerian relations -- 1.2.1.1. Continuity equation -- 1.2.1.2. Momentum balance equations -- 1.3. Notations -- 1.4. Reynolds equations -- 1.5. Exact relations in a fully developed turbulent channel flow -- 1.6. Equations for a turbulent boundary layer -- 1.7. Scales in a wall-bounded turbulent flow 1.8. Eddy viscosity closures -- 1.9. Turbulent intensities of the velocity components -- 1.10. Fine structure -- 1.11. Vorticity -- 1.11.1. Characteristics of vorticity field near to the wall -- 1.11.2. Turbulent intensities of the fluctuating vorticity components -- 2: Transport Phenomena in Wall Turbulence -- 2.1. Introduction -- 2.2. Transport equations -- 2.3. Models of return to isotropy -- 2.4. Transport of turbulent kinetic energy -- 2.5. Transport of the velocity gradient -- 2.6. Transport of the Reynolds stress -uv -- 2.7. Effects of the Reynolds number on transport -- 2.8. Dissipation 2.8.1. Dissipation of kinetic energy -- 2.8.2. Dissipation linked to the transport equations for the Reynolds stresses -- 2.9. Pressure -- 2.9.1. Wall pressure -- 2.9.2. Spectral density -- 2.9.3. Decomposition into slow and rapid components -- 2.10. Anisotropy -- 2.11. Rapid distortion -- 3: Near-Wall Coherent Structures: History, Identification and Detection -- 3.1. Introduction -- 3.2. History -- 3.3. Single-point Eulerian detection -- 3.3.1. Detection in quadrant II -- 3.3.2. Detection by the u-level (u-l) -- 3.3.3. Detection by VITA and VISA -- 3.4. Stochastic estimation 3.5. Wavelets and wall turbulence -- 3.6. Critical points and topology -- 3.6.1. Critical points -- 3.6.2. Application of the concept of critical points to the topology of turbulence -- 3.6.3. Extension of the detection Q - Δ -- 3.6.4. A few significant results relating to the topology of wall turbulence -- 3.7. Pressure field and vortices -- 3.8. Vorticity and vortices -- 3.9. Transport of invariants -- 3.10. "Lambda-2" criterion -- 3.11. Relations between the topological invariants and the λ2 technique -- 3.12. Summary -- 3.13. Lagrangian detection 4: Coherent Wall Structures: Dynamics and Contribution to Turbulent Activity -- 4.1. Introduction -- 4.2. Structural morphology of wall turbulence. Quasi-streamwise vortices or hairpin vortices? -- 4.3. Frequency distribution of energetic events in the inner sublayer -- 4.4. Quadrant-based structure of the Reynolds shear stress -- 4.5. Streaks -- 4.6. Wavelet analysis, at low Reynolds numbers, of the vorticity layers surrounding the streaks -- 4.7. Effect of coherent structures on local wall friction -- 4.8. Effect of coherent structures on wall pressure -- 4.9. Active and passive structures 4.10 Particle trajectories: Lagrangian approach Wall bounded turbulent flows are of major importance in industrial and environmental fluid mechanics. The structure of the wall turbulence is intrinsically related to the coherent structures that play a fundamental role in the transport process. The comprehension of their regeneration mechanism is indispensable for the development of efficient strategies in terms of drag control and near wall turbulence management. This book provides an up-to-date overview on the progress made in this specific area in recent years. 9781848213951 print version oai:cds.cern.ch:2230061 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1784135 ebook ebook XX SzGeCERN EBL201611 BOOK n 201644 201611 21 PUBLIC BOOK DELETED 2229798 SzGeCERN 20210421212822.0 9780128045503 0128045507 9780128044889 oai:cds.cern.ch:2229798 cerncds:BOOK SAFARI ocn961332397 OCoLC 961332397 eng GE45.M37 Menke, William Environmental data analysis with MatLab 2nd ed. London Academic Press 2016 mult. p ebook SAF201611 SzGeCERN Computing and Computers SAF Environmental sciences BOOK Menke, Joshua E 1st ed. 2012 1538645 edition https://learning.oreilly.com/library/view/-/9780128045503/?ar ebook n 201644 201611 21 PUBLIC https://catalogue.library.cern/legacy/2229798 BOOK MIGRATED 2229656 SzGeCERN 20210422083930.0 9783319309569 print version 9783319309576 electronic version electronic version DOI 10.1007/978-3-319-30957-6 e-proceedings oai:cds.cern.ch:2229656 cerncds:CONF eng TA177.4-185 658.5 23 20160331 Interoperability for Enterprise Systems and Applications Guimaraes, Portugal 31 Mar - 1 Apr 2016 2016 guimaraes20160331 8 PT I-ESA 2016 20160401 Cham Springer 2016 ebook Proceedings of the i-esa conferences 2199-2533 8 Part I: Introduction -- An Interoperable Cloud Environment of Manufacturing Control System -- A New Framework for Strategic Risk Analysis in a Global Pump Manufacturing Network -- Cloud and Services Testing Applied in Manufacturing -- A Self Sustainable Approach for IoT Services Provisioning -- Part II: Modelling the Enterprise Interoperability -- Requirement Pattern Elicitation Approach of Massive Customers in Domain Oriented Service Requirement -- Semantic Data Integration Approach for the Vision of a Digital Factory -- Negotiation Coordination Model for Supporting Enterprise Interoperability -- Part III: Semantics for Enterprise Interoperability -- The Systems Development Life Cycle to Facilitate Progression Towards Semantic and Organizational Interoperability for Healthcare System -- Performance Oriented Decision Making to Guide Web Service Lifecycle -- Profiling Based on Music and Physiological State -- Part IV: Architectures and Frameworks for Interoperability -- Automated Process Model Generation for Internet of Things Oriented Enterprise Systems -- Use of Big Data for Continuous Interoperability in Crisis Management -- Weaving Trending, Costing and Recommendations Using Big Data Analytics: An Enterprise Capability Evaluator -- The Industry Cockpit Approach: A Framework for Flexible Real-time Production Monitoring -- Part V: Services for the Enterprise Interoperability -- iFloW: An Integrated Logistics Software System for Inbound Supply Chain Traceability -- Qualitative Evaluation of Manufacturing Software Units Interoperability Using ISO 25000 Quality Mode -- Process Modeling Approach for the Liquid-Sensing Enterprise -- Part VI: Ontologies and Concepts for Enterprise Interoperability -- A MetaMeta Level Formal Manufacturing Ontology for Meta Level Production Methods -- Towards an Interoperable Decision Support Platform for Eco-labeling Process -- Framework of Design Principles and Standards for Enterprise Interoperability Service Utilities -- Part VII: Industrial Implementation of Enterprise Interoperability -- Requirements Engineering Using Serious Games -- Knowledge-based System to Enhance Coordination of Hospital Practitioners: A Case Study -- Towards a Flexible Gamification Model for an Interoperable E-learning BP Simulation Platform -- Part VIII: Collaborative Supply Networks Interoperability -- Towards a Methodology to Support the Strategies Alignment Process in Collaborative Networks -- Meta-modeling of Collaborative Supply Chain -- Seamless Interrelation Between Business Strategies and Tactical Planning -- A Competition Model for the Offer: An Experiment of Management Simulation. A concise reference to the state of the art in systems interoperability, Enterprise Interoperability VII will be of great value to engineers and computer scientists working in manufacturing and other process industries and to software engineers and electronic and manufacturing engineers working in the academic environment. Furthermore, it shows how knowledge of the meaning within information and the use to which it will be put have to be held in common between enterprises for consistent and efficient inter-enterprise networks. Over 30 papers, ranging from academic research through case studies to industrial and administrative experience of interoperability show how, in a scenario of globalised markets, where the capacity to cooperate with other organizations efficiently is essential in order to remain economically, socially and environmentally cost-effective, the most innovative digitized and networked enterprises ensure that their systems and applications are able to interoperate across heterogeneous collaborative networks of independent organizations. This goal of interoperability is essential, not only from the perspective of the individual enterprise but also in the business structures that are now emerging, such as complex collaborating networks of suppliers and customers, virtual enterprises, interconnected organisations or extended enterprises, as well as in mergers and acquisitions. Establishing efficient and relevant collaborative situations requires the management of interoperability from a dynamic point of view: a relevant and efficient collaboration of organizations may require adaptation to remain in line with changing objectives, evolving resources, unexpected events, etc. Many of the papers contained in this, the eighth volume of Proceedings of the I-ESA Conferences have examples and illustrations calculated to deepen understanding and generate new ideas. The I-ESA’16 Conference from which this book is drawn was organized by the Escola de Engenharia da Universidade do Minho, on behalf of the European Virtual Laboratory for Enterprise Interoperability (INTEROP-VLab) and Interop VLab Portuguese Pole. Engineering SPR201611 SzGeCERN Engineering SPR Software engineering SPR Management information systems SPR Computer science SPR Engineering economics SPR Engineering economy SPR Electrical engineering SPR Engineering Economics, Organization, Logistics, Marketing SPR Communications Engineering, Networks SPR Management of Computing and Information Systems SPR Software Engineering PROCEEDINGS CONFERENCE Mertins, Kai ed. Jardim-Gonçalves, Ricardo ed. Popplewell, Keith ed. Mendonça, João ed. Enterprise interoperability VII : enterprise interoperability in the digitized and networked factory of the future I-ESA 2016 Acronym SPR n 201644 201611 42 PUBLIC https://catalogue.library.cern/legacy/2229656 PROCEEDINGS MIGRATED 2229652 SzGeCERN 20210422083931.0 9789811024214 print version 9789811024221 electronic version electronic version DOI 10.1007/978-981-10-2422-1 e-proceedings oai:cds.cern.ch:2229652 cerncds:CONF eng QC221-246 534 23 4th Pacific Rim Underwater Acoustics Conference Hangzhou, China 9 - 11 Oct 2013 2013 hangzhou20131009 CN 4 20131011 20131009 Singapore Springer 2016 ebook Inference of Sound Attenuation in Marine Sediments from Modal Dispersion in Shallow Water -- Distributed Underwater Sensing: Applications and Challenges -- Counterintuitive Results in Underwater Acoustic Communications -- Comparisons of Methods for Numerical Internal Wave Simulation in Long Range Acoustical Propagation -- Acoustic Data Assimilation: Concepts and Examples -- The Preliminary Results of a Single-Hydrophone Geoacoustic Inversion for Data Collected at the Sea of Japan -- Measurements of Ultrasound Attenuation of Suspended Particles with Various Size Distributions -- A Low Complexity Multichannel Adaptive Turbo Equalizer for a Large Delay Spread Sparse Underwater Acoustic Channel -- A Turbo Equalization Based on a Sparse Doubly Spread Acoustic Channels Estimation -- Design and Testing of Underwater Acoustic Communications for an AUV -- Hydroflown™: MEMS Based Underwater Vector Sensors and Applications -- Axis Mismatches Between Pairs of Sensitive Elements of Underwater Acoustic Velocity Gradient Sensors -- A Passive Fathometer Technique for Bottom Profiling Using Ambient Noise Target Motion Parameter Estimation for LOFARgrams Based on Waveguide Invariants -- Source Localization by Maximizing the Longitudinal Correlation Using Waveguide Invariant Theory -- Selective Detection and Localization by Decomposition of a Subrank Time Reversal Operator -- Sounds of Undersea Gas Leaks -- Multi-AUV Localization for an Underwater Acoustic Sensor Network. These proceedings are a collection of 16 selected scientific papers and reviews by distinguished international experts that were presented at the 4th Pacific Rim Underwater Acoustics Conference (PRUAC), held in Hangzhou, China in October 2013. The topics discussed at the conference include internal wave observation and prediction; environmental uncertainty and coupling to sound propagation; environmental noise and ocean dynamics; dynamic modeling in acoustic fields; acoustic tomography and ocean parameter estimation; time reversal and matched field processing; underwater acoustic localization and communication as well as measurement instrumentations and platforms. These proceedings provide insights into the latest developments in underwater acoustics, promoting the exchange of ideas for the benefit of future research. Physics and astronomy SPR201611 SzGeCERN Other Fields of Physics SPR Water-supply SPR Acoustics SPR Acoustical engineering SPR Marine sciences SPR Freshwater SPR Engineering Acoustics SPR Marine & Freshwater Sciences SPR Water IndustryWater Technologies CONFERENCE PROCEEDINGS Zhou, Lisheng ed. Xu, Wen ed. Cheng, Qianliu ed. Zhao, Hangfang ed. Underwater acoustics and ocean dynamics SPR n 201644 201611 42 PUBLIC https://catalogue.library.cern/legacy/2229652 PROCEEDINGS MIGRATED 2228913 SzGeCERN 20171106070020.0 oai:arXiv.org:1610.09956 http://export.arxiv.org/oai2 2016-11-01 2016-11-01T06:19:32Z arXiv true arXiv arXiv:1610.09956 eng Arnold, Daniel Siegel, Steven Grisanti, Emily Wrachtrup, Jörg Gerhardt, Ilja http://arxiv.org/pdf/1610.09956.pdf Preprint n 201644 A Rubidium M$_{\mathrm{x}}$-magnetometer for Measurements on Solid State Spins 31 Oct 2016 10 p The detection of environmental magnetic fields is well established by optically pumped atomic magnetometers. Another focus of magnetometry can be the research on magnetic or spin-active solid-state samples. Here we introduce a simple and compact design of a rubidium-based M$_{\mathrm{x}}$-magnetometer, which allows for hosting solid-state samples. The optical, mechanical and electrical design is reported, as well as simple measurements which introduce the ground-state spin-relaxation time, the signal-to-noise ratio of a measurement, and subsequently the overall sensitivity of the magnetometer. The magnetometer is optimized for the most sensitive operation with respect to laser power and magnetic field excitation at the Larmor frequency. Comments: 10 pages, 13 figures http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv General Theoretical Physics arXiv physics.atom-ph LANL EDS quant-ph LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2228870 SzGeCERN 20171102143239.0 oai:arXiv.org:1610.09444 http://export.arxiv.org/oai2 2016-11-01 2016-11-01T06:19:32Z arXiv true arXiv arXiv:1610.09444 eng Riechers, P M Crutchfield, J P http://arxiv.org/pdf/1610.09444.pdf Preprint n 201644 Fluctuations When Driving Between Nonequilibrium Steady States 28 Oct 2016 25 p Maintained by environmental fluxes, biological systems are thermodynamic processes that operate far from equilibrium without detailed-balance dynamics. Yet, they often exhibit well defined nonequilibrium steady states (NESSs). More importantly, critical thermodynamic functionality arises directly from transitions among their NESSs, driven by environmental switching. Here, we identify constraints on excess thermodynamic quantities that ride above the NESS housekeeping background. We do this by extending the Crooks fluctuation theorem to transitions among NESSs, without invoking an unphysical dual dynamics. This and corresponding integral fluctuation theorems determine how much work must be expended when controlling systems maintained far from equilibrium. This generalizes feedback control theory, showing that Maxwellian Demons can leverage mesoscopic-state information to take advantage of the excess energetics in NESS transitions. Altogether, these point to universal thermodynamic laws that are immediately applicable to the accessible degrees of freedom within the effective dynamic at any emergent level of hierarchical organization. By way of illustration, this readily allows analyzing a voltage-gated sodium ion channel whose molecular conformational dynamics play a critical functional role in propagating action potentials in mammalian neuronal membranes. Comments: 25 pages, 7 figures; http://csc.ucdavis.edu/~cmg/compmech/pubs/ftdness.htm http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS cond-mat.stat-mech arXiv Nonlinear Systems arXiv Other Fields of Physics arXiv q-bio.NC arXiv cond-mat.stat-mech LANL EDS nlin.AO LANL EDS physics.bio-ph LANL EDS q-bio.NC LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2228736 SzGeCERN 20170819033657.0 oai:arXiv.org:1610.09890 http://export.arxiv.org/oai2 2016-11-01 2016-11-01T06:15:27Z arXiv true arXiv arXiv:1610.09890 eng Davies, R I The Role of Host Galaxy for the Environmental Dependence of Active Nuclei in Local Galaxies 2016 31 Oct 2016 11 p Comments: submitted to MNRAS. 11 pages with 9 figures We discuss the environment of local hard X-ray selected active galaxies, with reference to two independent group catalogues. We find that the fraction of these AGN in S0 host galaxies decreases strongly as a function of galaxy group size (halo mass) - which contrasts with the increasing fraction of galaxies of S0 type in denser environments. However, there is no evidence for an environmental dependence of AGN in spiral galaxies. Because most AGN are found in spiral galaxies, this dilutes the signature of environmental dependence for the population as a whole. We argue that the differing results for AGN in disk-dominated and bulge-dominated galaxies is related to the source of the gas fuelling the AGN, and so may also impact the luminosity function, duty cycle, and obscuration. We find that there is a significant difference in the luminosity function for AGN in spiral and S0 galaxies, and tentative evidence for some difference in the fraction of obscured AGN. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Hicks, E K S Erwin, P Burtscher, L Contursi, A Genzel, R Janssen, A Koss, M Lin, M -Y Lutz, D Maciejewski, W Mueller-Sanchez, F de Xivry, G Orban Ricci, C Riffel, R Riffel, R A Rosario, D Schartmann, M Schnorr-Mueller, A Shimizu, T Sternberg, A Sturm, E Storchi-Bergmann, T Tacconi, L Veilleux, S http://arxiv.org/pdf/1610.09890.pdf Preprint n 201644 11 PREPRINT Hidden 2238309 SzGeCERN 20250515231438.0 DOI 10.5075/epfl-thesis-7338 oai:cds.cern.ch:2238309 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN Inspire 1503842 eng CERN-THESIS-2016-193 Gorzawski, Arkadiusz Andrzej arkadiusz.gorzawski@cern.ch Ecole Polytechnique, Lausanne Luminosity control and beam orbit stability with beta star leveling at LHC and HL-LHC 191 p presented 30 Nov 2016 PhD Ecole Polytechnique, Lausanne 2016 This thesis describes the wide subject of the luminosity leveling and its requirements for the LHC and the HL-LHC. We discuss the advantages and disadvantages of different leveling methods focusing the thesis on the beta star leveling technique. We review the beams offset build--up due to the environmental (i.e. natural ground motion) and mechanical (i.e. moving quadrupole) sources. We quantify the instrumentation requirements for the reliable and reproducible operation with small offsets at the interaction points. Last but not least, we propose a novel method for the beam offset stabilization at the collision point based on the feedback from the luminosity. CERN Doctoral Student Program SzGeCERN CERN THESIS CERN LHC CERN HL-LHC Rivkin, Leonid dir. Wenninger, Jorg dir. https://infoscience.epfl.ch/record/222936 EPFL server 1259446 30114369 http://cds.cern.ch/record/2238309/files/EPFL_TH7338.pdf Fulltext 1259447 30177563 http://cds.cern.ch/record/2238309/files/EPFL_TH7338_2.pdf 14 https://repository.cern/legacy/record/2238309 THESIS MIGRATED 2238207 SzGeCERN 20171214170430.0 9783319471099 109 (NL),109 (1U) electronic version EBL 4747237 eng QA75.5-76.95 004 Mariani, Stefano Coordination of complex sociotechnical systems self-organisation of knowledge in MoK Cham Springer 2016 252 p Artificial intelligence foundations, theory, and algorithms Foreword -- Preface -- Acknowledgements -- Contents -- 1 Introduction -- 1.1 Introduction -- 1.2 Organisation of Chapters -- 1.2.1 Part I -- 1.2.2 Part II -- 1.2.3 Part III -- References -- Part I Coordination of Complex Sociotechnical Systems -- 2 Coordination of Distributed Systems -- 2.1 Tuple-Based Coordination -- 2.1.1 On Distribution -- 2.2 Programmable Coordination -- 2.2.1 LGI -- 2.2.2 Gamma -- 2.2.3 Tuple Centres and ReSpecT -- 2.2.4 TOTA -- 2.3 Probabilistic Coordination -- 2.3.1 pKlaim -- 2.3.2 SwarmLinda -- References -- 3 Coordination of Self-organising Systems 3.1 Bio-Inspired Self-organisation Patterns -- 3.1.1 Spreading -- 3.1.2 Aggregation -- 3.1.3 Evaporation -- 3.1.4 Repulsion -- 3.1.5 Other Patterns -- 3.2 Nature-Inspired Coordination -- 3.2.1 Biochemical Tuple Spaces -- 3.2.2 SAPERE -- 3.3 Chemical Reactions as Coordination Laws -- 3.3.1 Selected Patterns Encoding -- 3.3.2 Custom Kinetic Rates -- 3.4 Uniform Primitives as Coordination Primitives -- 3.4.1 Related Approaches -- 3.4.2 Informal Definition -- 3.4.3 Informal Expressiveness -- 3.4.4 Formalisation -- References -- 4 Coordination of Pervasive Systems 4.1 The Quest Towards Situatedness in MAS -- 4.1.1 Review of Meta-Models -- 4.1.2 Review of Architectures -- 4.1.3 A Reference Architecture -- 4.2 On Situated Coordination -- 4.3 Environmental Situatedness in TuCSoN -- 4.3.1 Architectural Overview -- 4.3.2 Flow of Interactions -- 4.3.3 Methodology: Example Scenario -- 4.3.4 Related Work -- 4.4 Temporal Situatedness in ReSpecT -- 4.4.1 Time-Aware Coordination Media -- 4.4.2 Time-Aware Extension to ReSpecT -- 4.4.3 Expressiveness Showcase -- 4.5 Spatial Situatedness in ReSpecT -- 4.5.1 Space-Aware Coordination Media 4.5.2 Space-Aware Extension to ReSpecT -- 4.5.3 Expressiveness Showcase -- References -- 5 Coordination of Sociotechnical Systems -- 5.1 Sociotechnical Systems and Knowledge-Intensive Environments -- 5.1.1 Challenges of Sociotechnical Systems -- 5.1.2 Challenges of Knowledge-Intensive Environments -- 5.1.3 Research Roadmap -- 5.2 From Activity Theory to Behavioural Implicit Communication -- 5.2.1 Activity Theory for Multi-agent Systems -- 5.2.2 The A&A Meta-Model -- 5.2.3 Stigmergy and Cognitive Stigmergy -- 5.2.4 Behavioural Implicit Communication -- 5.2.5 Toward Computational Smart Environments 5.3 Behavioural Implicit Communication in Real-World STS -- 5.3.1 Survey of Actions -- 5.3.2 Factorisation of Common Actions -- References -- Part II Self-organisation of Knowledge in Molecules of Knowledge -- 6 Molecules of Knowledge: Model -- 6.1 Motivation, Context, Goal -- 6.2 Core Abstractions -- 6.2.1 Atoms -- 6.2.2 Seeds -- 6.2.3 Molecules -- 6.2.4 Catalysts -- 6.2.5 Enzymes -- 6.2.6 Traces -- 6.2.7 Perturbations -- 6.2.8 Reactions -- 6.2.9 Compartments -- 6.2.10 Membranes -- 6.3 Computational Model: Artificial Chemical Reactions -- 6.3.1 Injection -- 6.3.2 Aggregation -- 6.3.3 Diffusion 6.3.4 Decay 9783319471082 print version oai:cds.cern.ch:2238207 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4747237 ebook ebook EBL201612 Computing and Computers SzGeCERN BOOK n 201648 201612 21 PUBLIC BOOK DELETED 2238201 SzGeCERN 20170113223219.0 9783319486772 99 (NL),99 (1U) electronic version EBL 4747046 eng QC71.82-73.8 621.042 Pintz, William S Clean energy from the earth, wind and sun learning from Hawaii's search for a renewable energy strategy Cham Springer 2016 184 p Preface -- Acknowledgements -- Contents -- Acronyms and Abbreviations -- 1 Introduction: Roots, Vision, and Strategy -- Abstract -- 1.1 Local Roots of HCEI -- 1.1.1 Hawaii 2000 Vision -- 1.1.2 The Hawaii Energy Policy Forum -- 1.1.3 Sustainability Report -- 1.1.4 Public Visions and Political Realities -- 1.2 External Influences on the Formulation of the Clean Energy Strategy -- 1.3 Regulatory Basis for Energy Objectives -- 1.4 Laying the Institutional Foundation for the Hawaii Clean Energy Initiative -- 1.4.1 Energy Resources Coordinator -- 1.4.2 Organizational Development 1.4.2.1 Hawaii Natural Energy Institute -- 1.4.2.2 Natural Energy Laboratory of Hawaii -- 1.5 The HCEI Goals -- 1.5.1 A Multi-dimensional Vision -- 1.5.2 The 70 % Clean Energy Objective -- 1.5.3 Preparedness -- 1.6 Perspectives of Major Stakeholders on a Renewable Energy Strategy -- 1.6.1 Electric Utilities -- 1.6.2 Oil Companies -- 1.6.3 Large Land Owners -- 1.6.4 Socio-environmental Advocates -- 1.6.5 Private Support Industries -- References -- 2 Hawaii Policy Background -- Abstract -- 2.1 Distinguishing Characteristics of Hawaii's Energy Sector -- 2.2 Hawaii's Energy Economy 2.3 Overview of Energy Costs and Prices -- 2.4 Overview of Energy Demand -- 2.4.1 Air Travel -- 2.4.2 The Military -- 2.4.3 Household Electricity Demand -- 2.5 Overview of Petroleum Supply Patterns -- 2.5.1 Importing and Processing Oil Products -- 2.5.2 Liquid Fuel Use -- 2.5.3 Petroleum Use in Electrical Generation -- 2.5.4 Liquid Fuel Use in Ground Transportation -- 2.5.5 Domestic Use of Synthetic Natural Gas -- 2.6 A Recent Forecast of HCEI's Impact on Petroleum Demand -- 2.7 Electricity Supply -- 2.7.1 Structure of Electricity Supply 2.7.2 Generation, Comparative Cost and Management of Electricity -- 2.8 Energy Conservation and Efficiency -- 2.9 Special Problems for a Special Place -- 2.9.1 Risk Implications of Oil Dependence -- 2.9.2 Transparency of Prices -- 2.9.3 Intermittent Generation and Grid Management -- 2.9.4 Impact of Environmental Regulations -- 2.9.5 Public Acceptance -- References -- 3 Anatomy of a Strategy: Assumptions, Policies, and Initial Resource Assessments -- Abstract -- 3.1 Underlying Logic of HCEI -- 3.2 Strategic Framework -- 3.3 Regulatory Environment -- 3.3.1 Renewable Portfolio Standard 3.3.2 Energy Efficiency Portfolio Standard -- 3.4 Initial Resource Assumptions About Electricity Resources -- 3.4.1 "Big Wind" as the Marque Strategy -- 3.4.2 Marine Cable -- 3.4.3 Evolution of Assumptions About Biofuels -- 3.4.4 The Shadow of Geothermal Resources -- 3.5 Emergence of the Core HCEI Assumptions for Transportation and Energy Efficiency -- 3.5.1 The Transportation Dilemma -- 3.5.2 Conservation and Efficiency -- 3.6 Assumptions About the Environment and Climate Change -- 3.7 Future Determinants of the Policy Framework -- References 4 Negotiations: Politics, Intentions, and Institutional Capacity Morita, Hermina 9783319486765 print version oai:cds.cern.ch:2238201 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4747046 ebook ebook XX SzGeCERN EBL201612 BOOK n 201648 201612 21 PUBLIC BOOK DELETED 2238139 SzGeCERN 20171214170427.0 9783662529447 49.99 (NL),49.99 (1U) electronic version EBL 4743084 eng QA75.5-76.95 004 Alam, Daud Project-management in practice a guideline and toolbox for successful projects Berlin Springer 2016 183 p Foreword -- Preface -- Contents -- List of Figures -- About the Authors -- 1 Introduction -- 1.1 Definitions -- 1.2 Successful Projects -- 1.3 Process Models -- 1.4 Overview -- 1.5 Summary -- Problems -- References -- 2 Comprehensive Topics -- 2.1 Requirements -- 2.1.1 Objective of Requirements Engineering -- 2.1.2 Projects and Requirements -- 2.1.3 Identification of Requirements -- 2.1.4 Management of Requirements -- 2.2 Project Culture -- 2.2.1 Objectives of the Project Culture -- 2.2.2 Outward Effect of a Project -- 2.2.3 Inwards Effect of a Project -- 2.2.4 Decision Culture 2.2.5 Learning in the Project -- 2.2.6 International Projects -- 2.2.7 Failure -- 2.2.8 Checklist -- 2.3 Communication -- 2.3.1 Objectives of Communication -- 2.3.2 Aspects of Communication -- 2.3.3 Good Communication -- 2.3.4 Communication as a Task for the Project Manager -- 2.3.5 Glossary -- 2.3.6 Communication Plan -- 2.3.7 Project Meetings -- 2.3.8 Means of Communication -- 2.4 Documentation -- 2.4.1 Objectives of Documentation -- 2.4.2 Reasons -- 2.4.3 Requirements -- 2.4.4 Scope -- 2.4.5 Project Profile -- 2.4.6 Project Handbook -- 2.5 Quality -- 2.5.1 Quality Objectives -- 2.5.2 Procedure 2.5.3 Checklist -- 2.6 Risk Management -- 2.6.1 Objective of Risk Management -- 2.6.2 Procedure -- 2.7 Methods -- 2.7.1 Brainstorming -- 2.7.1.1 Advantages -- 2.7.1.2 Disadvantages -- 2.7.1.3 Application -- 2.7.2 Problem Statement Reversal -- 2.7.2.1 Advantages -- 2.7.2.2 Disadvantages -- 2.7.2.3 Application -- 2.7.3 Mind Mapping -- 2.7.3.1 Advantages -- 2.7.3.2 Disadvantages -- 2.7.3.3 Application -- 2.7.4 Method 635 -- 2.7.4.1 Advantages -- 2.7.4.2 Disadvantages -- 2.7.4.3 Application -- 2.7.5 Flashlight -- 2.7.5.1 Advantages -- 2.7.5.2 Disadvantages -- 2.7.5.3 Application -- 2.8 Summary Problems -- References -- 3 Project Phases -- 3.1 Strategy Phase -- 3.1.1 Objective/Results -- 3.1.2 Situation Analysis -- 3.1.3 Environmental Analysis -- 3.1.4 Project Goal -- 3.1.5 Solution Approaches -- 3.1.6 Project Order -- 3.1.7 Tender Specification -- 3.1.8 Performance Specification -- 3.1.9 Checklist -- 3.2 Planning Phase -- 3.2.1 Objective/Results -- 3.2.2 Project Plan -- 3.2.3 Work Breakdown Structure -- 3.2.4 Time Schedule -- 3.2.5 Resource Plan/Cost Schedule -- 3.2.6 Project Organization -- 3.2.7 Plan Optimization -- 3.2.8 Plan Alignment -- 3.2.9 Project Kickoff -- 3.2.10 Checklist 3.3 Realization Phase -- 3.3.1 Objective/Results -- 3.3.2 Summary of Tasks -- 3.3.3 Milestones -- 3.3.4 Project Controlling -- 3.3.5 Project Monitoring -- 3.3.5.1 Content-Related Progress -- 3.3.5.2 Presentation of the Project Progress -- 3.3.6 Project Control Activities -- 3.3.7 Trend Analysis -- 3.3.8 Checklist -- 3.4 Closure Phase -- 3.4.1 Objective/Results -- 3.4.2 Acceptance -- 3.4.3 Final Documentation and Lessons Learned -- 3.4.4 Dissolving -- 3.4.5 Outlook -- 3.4.6 Checklist -- 3.5 Summary -- Problems -- References -- 4 Outlook -- 4.1 Certifications -- 4.2 More Information 4.3 Future Project Management Gühl, Uwe F 9783662529430 print version oai:cds.cern.ch:2238139 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4743084 ebook ebook EBL201612 Computing and Computers SzGeCERN BOOK n 201648 201612 21 PUBLIC BOOK DELETED 2238018 SzGeCERN 20170113223218.0 9783319448992 179 (NL),179 (1U) electronic version EBL 4732587 eng QC71.82-73.8 621.042 Bisello, Adriano Smart and sustainable planning for cities and regions results of SSPCR 2015 Cham Springer 2016 439 p Green energy and technology Foreword -- Beyond Urban Liveabilty: Terrestrial Habitability and the Rise of Intelligent Environments -- Preface -- Why do We Need a Smart and Sustainable Planning for Cities and Regions? -- Invited Talks -- SSPCR 2015 Scientific Committee -- Contents -- Climate-Energy Planning -- 1 Optimization of Load Flows in Urban Hybrid Networks -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Electricity Network -- 2.2 Thermal and Gas Networks -- 2.3 Energy Hubs -- 2.4 Optimization -- 3 Case Study -- 3.1 Networks -- 3.2 Load and Production Profiles -- 3.3 Definition of Energy Hubs -- 3.4 Scenarios 4 Results -- 5 Conclusion -- References -- 2 Technical, Financial and Urban Potentials for Solar District Heating in Italy -- Abstract -- 1 Introduction -- 2 Opportunities for Solar District Heating-the Italian Framework -- 3 Methodology of the Analysis -- 4 The Case Studies of Existing District Heating Networks -- 4.1 Centralized Solar Thermal Field -- 4.1.1 Case Study a-Solar Thermal + Natural Gas -- 4.1.2 Case Study B-Solar Thermal + Waste-to-Energy -- 4.1.3 Case Study C-Solar Thermal + Natural Gas Cogeneration + Biomass-Cogeneration Heat Recovery -- 4.2 Distributed Solar Thermal 5 Energy Performances -- 6 Economics of the Case Studies -- 7 New DH Network with ST -- 7.1 Energy Load Estimation -- 7.2 Case E-Solar DH-Central Plant 4,500 m2 -- 8 The Urban Aspects of the Case Studies -- 9 Conclusions -- References -- 3 Building-Stock Analysis for the Definition of an Energy Renovation Scenario on the Urban Scale -- Abstract -- 1 Introduction -- 2 The Typology Approach -- 2.1 Definition of Reference Buildings -- 2.2 Baseline Simulation -- 2.3 Renovation Measures -- 2.4 Energy Saving Potential and Target Setting -- 3 Results of the Building-Stock Energy Analysis 3.1 Case Study 1: Rotaliana-Königsberg -- 3.1.1 Data Collection -- 3.1.2 Building-Stock Analysis/Typology Matrix -- 3.1.3 Renovation Measures -- 3.1.4 Main Results: Baseline and Renovation Scenarios -- 3.2 Case Study 2: The Passiria Valley -- 3.2.1 Data Collection -- 3.2.2 Building Stock Analysis/Typology Matrix -- 3.2.3 Renovation Measures -- 3.2.4 Main Results -- 4 Conclusions -- References -- 4 Collaboration in Regional Energy-Efficiency Development -- Abstract -- 1 Introduction -- 2 Case Descriptions and Methods -- 2.1 Case Descriptions -- 2.2 Methods -- 3 Findings -- 3.1 Findings from Case A 3.2 Findings from Case B -- 3.3 Comparison of Case Findings -- 4 Conclusions -- Acknowledgments -- References -- Innovative Technologies -- 5 Lighting up the Landmarks with Information About the Environment -- Abstract -- 1 Introduction -- 2 Lighting up the Landmarks -- 2.1 Glanceable Information -- 2.2 Examples -- 2.2.1 D-tower -- 2.2.2 Rogier Tower -- 2.2.3 Breast Cancer Awareness Month -- 3 Choosing an Environmental Parameter -- 4 Being Smart -- 5 Effects and Where to Go from Here -- Acknowledgments -- References 6 Taxi of the Future: Big Data Analysis as a Framework for Future Urban Fleets in Smart Cities Vettorato, Daniele Stephens, Richard Elisei, Pietro 9783319448985 print version oai:cds.cern.ch:2238018 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4732587 ebook ebook XX SzGeCERN EBL201612 BOOK n 201648 201612 21 PUBLIC BOOK DELETED 2238002 SzGeCERN 20171214170421.0 9783319287782 109 (NL),109 (1U) electronic version EBL 4731719 eng QA75.5-76.95 004 Reardon, Joel Secure data deletion Cham Springer 2016 208 p Information security and cryptography Acknowledgments -- Contents -- Acronyms -- Part I Introduction and Background -- 1 Introduction -- 1.1 Organization and Structure -- 2 RelatedWork on Secure Deletion -- 2.1 Introduction -- 2.2 RelatedWork -- 2.2.1 Layers and Interfaces -- 2.2.2 Physical-Layer and Controller-Layer Sanitization -- 2.2.3 User-Level Solutions -- 2.2.4 File-System-Level Solutions with In-Place Updates -- 2.2.5 Cross-layer Solutions -- 2.2.6 Summary -- 2.3 Adversarial Model -- 2.3.1 Classes of Adversarial Capabilities -- 2.3.2 Summary -- 2.4 Analysis of Solutions -- 2.4.1 Classes of Environmental Assumptions 2.4.2 Classes of Behavioural Properties -- 2.4.3 Summary -- 3 System Model and Security Goal -- 3.1 Introduction -- 3.2 System Model -- 3.3 Storage Medium Models -- 3.4 Adversarial Model -- 3.5 Security Goal -- Part II Secure Deletion for Mobile Storage -- 4 Flash Memory: Background and Related Work -- 4.1 Overview -- 4.2 Flash Memory -- 4.2.1 In-Place Updates and Log-Structured File Systems -- 4.2.2 Flash Translation Layer -- 4.2.3 Flash File Systems -- 4.2.4 Generalizations to Other Media -- 4.3 RelatedWork for Flash Secure Deletion -- 4.4 Summary 5 User-Level Secure Deletion on Log-Structured File Systems -- 5.1 Introduction -- 5.2 System and Adversarial Model -- 5.3 YAFFS -- 5.4 Data Deletion in Existing Log-Structured File Systems -- 5.4.1 Instrumented YAFFS -- 5.4.2 Simulating Larger Storage Media -- 5.5 User-Space Secure Deletion -- 5.5.1 Purging -- 5.5.2 Ballooning -- 5.5.3 Hybrid Solution: Ballooning with Purging -- 5.6 Experimental Evaluation -- 5.6.1 Experimental Results -- 5.7 Summary -- 5.8 Research Questions -- 6 Data Node Encrypted File System -- 6.1 Introduction -- 6.2 System and Adversarial Model -- 6.3 DNEFS's Design 6.3.1 Key Storage Area -- 6.3.2 Keystore -- 6.3.3 Clocked Keystore Implementation -- 6.3.4 Clock Operation: KSA Update -- 6.3.5 Key-State Map -- 6.3.6 Summary -- 6.4 Extensions and Optimizations -- 6.4.1 Granularity Trade-off -- 6.4.2 KSA Update Policies -- 6.4.3 KSA Organization -- 6.4.4 Improving Reliability -- 6.4.5 Encrypted File System -- 6.5 Summary -- 6.6 Research Questions -- 7 UBIFSec: Adding DNEFS to UBIFS -- 7.1 Introduction -- 7.2 System and Adversarial Model -- 7.3 Background -- 7.3.1 MTD and UBI Layers -- 7.3.2 UBIFS -- 7.4 UBIFSec Design -- 7.4.1 Key Storage Area 7.4.2 Key-State Map -- 7.4.3 Summary -- 7.5 Experimental Validation -- 7.5.1 Android Implementation -- 7.5.2 Wear Analysis -- 7.5.3 Power Consumption -- 7.5.4 Throughput Analysis -- 7.5.5 Timing Analysis -- 7.6 Conclusions -- 7.7 Practitioner's Notes -- Part III Secure Deletion for Remote Storage -- 8 Cloud Storage: Background and Related Work -- 8.1 Introduction -- 8.2 Persistent Storage -- 8.2.1 Securely Deleting and Persistent Combination -- 8.2.2 Cloud Storage -- 8.3 RelatedWork -- 8.4 Summary -- 9 Secure Data Deletion from Persistent Media -- 9.1 Introduction 9.2 System and Adversarial Model 9783319287775 print version oai:cds.cern.ch:2238002 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4731719 ebook ebook EBL201612 Computing and Computers SzGeCERN BOOK n 201648 201612 21 PUBLIC BOOK DELETED 2237998 SzGeCERN 20170418231949.0 9783319404905 179 (NL),179 (1U) electronic version EBL 4731349 eng QB501.S537 2017 523.20000000000005 Sharma, Ishan Shapes and dynamics of granular minor planets the dynamics of deformable bodies applied to granular objects in the solar system Cham Springer 2016 364 p Advances in geophysical and environmental mechanics and mathematics Foreword -- ReferencesS. Chandrasekhar, Ellipsoidal Figures of Equilibrium (Yale Univ. Press, New Haven, CT, 1969)H. Cohen, R.G. Muncaster, The Theory of Pseudo-Rigid Bodies (Springer-Verlag, New York, 1988)K.A. Holsapple, Equilibrium configurations of solid cohesionless bodies. Icarus 154, 432-448 (2001)S.J. Ostro et al. Asteroid radar astronomy, in Asteroids III ed. by W.F. Bottkeet al. (U. Arizona Press, 2002), pp. 151-168D.C. Richardson, W. F. Bottke Jr., S.G. Love, Tidal distortion and disruption of Ea -- Preface -- Acknowledgements -- Contents -- Toolbox -- 1 Mathematical Preliminaries 1.1 Coordinate Systems -- 1.2 Vectors -- 1.3 Tensors -- 1.3.1 Second-Order Tensors -- 1.3.2 Third- and Fourth-Order Tensors -- 1.4 Coordinate Transformation -- 1.5 Calculus -- 1.5.1 Gradient and Divergence. Taylor's Theorem -- 1.5.2 The Divergence Theorem -- 1.5.3 Time-Varying Fields -- References -- 2 Continuum Mechanics -- 2.1 Introduction -- 2.2 Motion in a Rotating Coordinate System -- 2.2.1 Vectors and Tensors -- 2.2.2 Velocity and Acceleration -- 2.3 Kinematics -- 2.4 Simple Motions -- 2.4.1 Example 1: Pure Rotation -- 2.4.2 Example 2: General Rigid Body Motion 2.4.3 Example 3: Homogeneous Motion -- 2.4.4 Example 4: Affine Motion -- 2.5 Local Motion -- 2.5.1 Strain. Surface Change. Volume Change -- 2.5.2 Rate of Local Motion -- 2.5.3 Transport Theorem. Mass Balance -- 2.6 Further Analysis of Simple Motions -- 2.6.1 Example 3: Homogeneous Motion -- 2.6.2 Example 4: Affine Motion -- 2.7 Stress -- 2.8 Moments of the Stress Tensor -- 2.9 Power Balance -- 2.10 Constitutive Laws -- 2.10.1 Rigid-Perfectly Plastic Materials -- 2.10.2 Material Parameters -- References -- 3 Affine Dynamics -- 3.1 Introduction -- 3.2 Governing Equations: Structural Motion 3.2.1 Statics -- 3.3 Moment Tensors -- 3.3.1 Gravitational-Moment Tensor -- 3.3.2 Tidal-Moment Tensor -- 3.4 Governing Equations: Orbital Motion -- 3.4.1 Circular Tidally-Locked Orbits -- 3.5 Conservation Laws -- 3.5.1 Angular Momentum Balance -- 3.5.2 Power Balance -- 3.5.3 Total Energy of a Deformable Gravitating Ellipsoid -- References -- Equilibrium -- 4 Asteroids -- 4.1 Introduction -- 4.2 Governing Equations -- 4.2.1 Average Stresses -- 4.2.2 Non-dimensionalization -- 4.2.3 Coordinate System -- 4.3 Equilibrium Landscape -- 4.3.1 Oblate Asteroids -- 4.3.2 Prolate Asteroids 4.3.3 Triaxial Asteroids -- 4.4 Discussion -- 4.5 Applications -- 4.5.1 Material Parameters -- 4.5.2 Near-Earth Asteroid Data -- 4.5.3 Equilibrium Shapes -- 4.6 Summary -- References -- 5 Satellites -- 5.1 Introduction -- 5.2 Governing Equations -- 5.2.1 Average Stress -- 5.2.2 Orbital Motion -- 5.2.3 Non-dimensionalization -- 5.2.4 Coordinate System -- 5.3 Example: Satellites of Oblate Primaries -- 5.3.1 BP(0) and mathcalBP(1) -- 5.3.2 The Orbital Rate ω''E -- 5.3.3 Equilibrium Landscape -- 5.4 Application: The Roche Problem -- 5.4.1 Material Parameters -- 5.4.2 Moons of Mars 5.4.3 Alternate Yield Criteria and Previous Work 9783319404899 print version oai:cds.cern.ch:2237998 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4731349 ebook ebook EBL201612 Astrophysics and Astronomy SzGeCERN BOOK n 201648 201612 21 PUBLIC BOOK DELETED 2237994 SzGeCERN 20171214170420.0 9781484223017 49.99 (NL),49.99 (1U) electronic version EBL 4731230 eng QA76.545.G878 2016 5.758 Gupta, Ravinder Mastering Oracle GoldenGate Berkeley, CA Apress 2016 649 p Contents at a Glance -- Contents -- About the Author -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Part I: Getting Started -- Chapter 1: Introduction to Oracle GoldenGate (OGG) -- What's So Magical About Oracle GoldenGate? -- Types of Replication -- Available Replication Options -- Advantages of Oracle GoldenGate -- When to Use Oracle GoldenGate? -- Oracle GoldenGate vs. Streams -- Oracle GoldenGate vs. Data Guard -- Oracle GoldenGate vs. SharePlex -- Oracle GoldenGate 12c New Features -- Summary -- Chapter 2: Architecture -- Overview of the Components -- Extract Data Pump -- Replicat -- Trails -- Collector -- Manager -- Checkpoints -- Support for Non-Oracle Databases -- Supported Topologies -- Unidirectional Replication -- When to Use Unidirectional Replication? -- Bidirectional Replication -- Limitations of Bidirectional Configuration -- When to Use Bidirectional Replication? -- One-to-Many Replication -- When to Use One-to-Many Replication? -- Many-to-One Replication -- When to Use Many-to-One Replication? -- Peer-to-Peer Replication -- When to Use Peer-to-Peer Replication? -- Summary -- Chapter 3: Oracle GoldenGate Pre-installation Tasks Memory Requirements -- Disk Space Requirements -- Network Requirements -- Configuring Your Database and Server for Oracle GoldenGate -- Enable Logging for Oracle Databases -- Enable Logging for Sybase Databases -- Enable Logging for Microsoft SQL Server Databases -- Supported Data Types -- Supported Data Types for Oracle Databases -- Supported Data Types for SYBASE Databases -- Supported Data Types for MySQL Databases -- Supported Data Types for SQL Server Databases -- Supported Data Types for DB2 Databases on LUW -- Supported Data Types for DB2 Databases on z/OS -- Supported Operations Database Operations Captured for Oracle Databases -- Database Operations Captured on Sybase Databases -- Database Operations Captured on MySQL Databases -- Database Operations Captured on SQL Server Databases -- Database Operations Captured on DB2 Databases for LUW -- Database Operations Captured on Sybase Databases for z/OS -- Designing Your GoldenGate Replication Setup -- Why Choose Standard Naming Conventions? -- Naming Capture and Delivery Process -- Know Your Application -- Database Privileges for GoldenGate Users -- OGG User Permissions in Oracle Databases OGG User Permissions in Sybase Databases -- OGG User Permissions in IBM DB2 Databases -- OGG User Permissions in MySQL Databases -- OGG User Permissions in Teradata Databases -- Summary -- Chapter 4: Installing Oracle GoldenGate -- Download the Installer -- Setting Up Environmental Variables -- Setting Up Database Logging -- Setting Up User Privileges -- Installing Oracle GoldenGate on Unix/Linux -- Step 1: Log In as the Linux Superuser -- Step 2: Navigate to the GoldenGate Directory -- Step 3: Copy or FTP the GoldenGate Software File from the Local System or Remote Server Step 4: Locate the Installer 9781484223000 print version oai:cds.cern.ch:2237994 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4731230 ebook ebook EBL201612 Computing and Computers SzGeCERN BOOK n 201648 201612 21 PUBLIC BOOK DELETED 2237992 SzGeCERN 20210421212527.0 9780128044629 print version 9780128044957 electronic version 143.91 (NL),143.91 (UA),95.94 (1U) electronic version oai:cds.cern.ch:2237992 cerncds:BOOK EBL 4730827 eng TH9705.F466 2017 621.38919999999996 Fennelly, Lawrence Effective physical security 5th ed. Oxford Butterworth-Heinemann 2016 460 p ebook Front Cover -- EFFECTIVE PHYSICALSECURITY -- EFFECTIVE PHYSICAL SECURITY -- Copyright -- Dedication -- Contents -- Foreword -- Preface -- 1 - Encompassing Effective CPTED Solutions in 2017 and Beyond: Concepts and Strategies -- INTRODUCTION -- ENVIRONMENT -- SPACE -- TARGET HARDENING -- CPTED Strategies -- Maintenance -- The Three-D Approach1 -- Designation -- Definition -- Design -- Examples of Strategies in Action -- Use of Information -- Some Benefits of CPTED Planning Activities -- An Ounce of Prevention: A New Role for Law Enforcement Support of Community Development CPTED Assessments4 -- QUESTIONS TO BE ANSWERED DURING AN ASSESSMENT -- Surrounding Neighborhood -- Perimeter and Points of Entry -- Vehicular Travel Routes and Parking Facilities -- Pedestrian Travel Paths and Gathering Areas -- Building Exteriors and Grounds -- Building Interiors -- Maintenance and Delivery Areas -- CPTED SURVEY FOR COLLEGES AND UNIVERSITIES: 30 VULNERABILITIES BASED ON CPTED ASSESSMENTS -- CPTED RECOMMENDATIONS -- Psychological Properties of Colors9 -- CPTED LANDSCAPE SECURITY RECOMMENDATION -- Measuring and Evaluation of CPTED -- Awareness -- Fear of Crime -- CPTED Strategies Obtaining Results -- CONCLUSION -- Reference Material -- 2 - Introduction to Vulnerability Assessment* -- RISK MANAGEMENT AND VULNERABILITY ASSESSMENT -- RISK ASSESSMENT AND THE VULNERABILITY ASSESSMENT PROCESS -- STATISTICS AND QUANTITATIVE ANALYSIS -- VULNERABILITY ASSESSMENT PROCESS OVERVIEW -- PLANNING THE VULNERABILITY ASSESSMENT -- Project Management -- Establish the Vulnerability Assessment Team -- Project Kickoff Meetings -- PROTECTION OBJECTIVES -- Facility Characterization -- DATA COLLECTION-DETECTION -- Intrusion Sensors -- Alarm Assessment -- Entry Control Alarm Communication and Display -- DATA COLLECTION-DELAY -- DATA COLLECTION-RESPONSE -- ANALYSIS -- REPORTING AND USING THE VULNERABILITY ASSESSMENT -- SYSTEMS ENGINEERING AND VULNERABILITY ASSESSMENT -- SYSTEM REQUIREMENTS -- SYSTEM DESIGN AND ANALYSIS -- SYSTEM INSTALLATION AND TEST -- SYSTEM REPLACEMENT -- SUMMARY -- References -- 3 - Influence of Physical Design -- INTRODUCTION -- DEFENSIBLE SPACE -- Territoriality -- Natural Surveillance -- Design Guidelines -- Modifying Existing Physical Design -- CRIME PREVENTION THROUGH ENVIRONMENTAL DESIGN -- Cautions -- Recent Projects Territorial Defense Strategies -- Personal Defense Strategies -- Law Enforcement Strategies -- Confidence Restoration Strategies -- Demonstrations -- The Future of Crime Prevention Through Environmental Design -- CONCLUSION -- References -- 4 - Approaches to Physical Security* -- LEVELS OF PHYSICAL SECURITY -- Minimum Security -- Low-Level Security -- Medium Security -- High-Level Security -- Maximum Security -- The Psychology of Maximum Security -- THE VALUE OF PLANNING -- Design-Reference Threat -- Layering for Protection -- PHYSICAL BARRIERS -- Locks -- Access Controls -- Security Force Alarm Systems EBL201612 SzGeCERN Engineering BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4730827 ebook 201612 n 201648 21 PUBLIC https://catalogue.library.cern/legacy/2237992 BOOK MIGRATED 2237959 SzGeCERN 20210421212532.0 9781634856515 print version 9781634856713 electronic version 240 (NL),240 (UA),208 (3U),160 (1U) electronic version oai:cds.cern.ch:2237959 cerncds:BOOK EBL 4728118 eng TJ808.R464 2016 621.04200000000003 Burton, Viola Renewable energy Hauppauge Nova Science Publ. 2016 206 p ebook Renewable energy research, development and policies RENEWABLE ENERGY SOURCES, APPLICATIONS AND EMERGING TECHNOLOGIES -- RENEWABLE ENERGY SOURCES, APPLICATIONS AND EMERGING TECHNOLOGIES -- CONTENTS -- PREFACE -- Chapter 1 THE TRANSITION TO A RENEWABLE ENERGY SYSTEM -- ABSTRACT -- INTRODUCTION -- ENERGY TRANSITIONS IN TWO POLICY MAKING PHASES -- POLICY INSTRUMENTS FOR ENERGY TRANSITIONS -- POLICY MAKING APPROACHES IN TWO PHASES -- Effective Transitions: From Initiating to Controlling the Dynamic Process -- Statically Efficient Transitions: Deployment at Least Cost? Dynamically Efficient Transitions: Triggering Long-Term Technology Cost Reduction -- The Systems Perspective: Integration of Technologies -- Preparation for Discontinuation of Policy Support -- CONCLUSION -- REFERENCES -- BIOGRAPHICAL SKETCH -- Chapter 2 GREEN NANOTECHNOLOGY IN BIOENERGY -- ABSTRACT -- 1. INTRODUCTION -- 2. GREEN NANOTECHNOLOGY RELATED TO BIOENERGY -- 2.1. Biofuels -- 2.2. Biomimetic Technology -- 2.2.1. Enzyme Catalyst -- 2.2.1.1. General Enzymes -- 2.2.1.2. Enzymes from Marine Biotechnology -- 2.2.2. Mimicking Photosynthesis -- 2.2.3. Water Decomposition 2.2.4. Low Temperature Biofuel Cell -- 3. CURRENT AND FUTURE DEVELOPMENTS -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 3 READINGS IN UK RENEWABLE ENERGY POLICY: THE ROLE OF WASTE-TO-ENERGY IN ACHIEVING GREEN ENERGY TARGETS - THE CASE OF ANAEROBIC DIGESTION -- ABSTRACT -- 1. BACKGROUND -- 2. SIGNIFICANCE OF BIOENERGY INVESTMENTS TO UK ENERGY TARGETS -- 2.1. Significance of Renewable Sources in Generating Electricity -- 3. ANAEROBIC DIGESTION IN CONTEXT -- 3.1. Energy from Waste -- 3.2. Anaerobic Digestion (AD) -- 3.2.1. Capacity of UK Anaerobic Digestion 3.3. Significance of the AD Technology -- 3.4. UK AD Business in Context -- 3.4.1. Potentials of AD Business to UK Energy -- 3.4.2. Challenges to AD Business in the UK -- 3.4.3. Strategic AD Drivers and Incentives Offered by the UK -- The Renewable Obligation (RO) -- Feed in Tariffs (FiTs) -- Renewable Heat Incentive (RHI) -- Renewable Transport Fuel Obligation (RTFO) -- Electricity Market Reform (EMR) -- 3.4.4. The UK Regulatory Framework of AD Business -- 4. UK RENEWABLE ENERGY TAXATION -- 4.1. Climate Change Levy (CCL) -- 4.2. Carbon Reduction Commitment (CRC) Energy Efficiency Scheme 4.3. EU Emission Trading System (EU ETS) -- 4.4. Carbon Price Floor (CPF) -- 4.5. Capital Allowances on Energy-Efficient Items -- 4.6. Landfill tax -- 4.7. Aggregate Levy -- 5. THE IMPACT OF ENVIRONMENTAL TAXES ON INVESTMENTS IN GREEN ENERGY PROJECTS -- SUMMARY -- ACKNOWLEDGMENT -- REFERENCES -- Chapter 4 CONCRETE STEPS TOWARDS THE PROMOTION OF RENEWABLE ENERGY DEPLOYMENT IN AN EFFORT TO TACKLE CLIMATE CHANGE -- ABSTRACT -- INTRODUCTION -- KEY FEATURES ENCOURAGING RE DEPLOYMENT -- DESIGNING A CONCRETE PLAN PROMOTING RE DEPLOYMENT -- Step 1: Identify Potential Stakeholders Step 2: Engage Stakeholders EBL201612 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4728118 ebook n 201648 201612 21 PUBLIC https://catalogue.library.cern/legacy/2237959 BOOK MIGRATED 2237935 SzGeCERN 20210421212536.0 9780128097618 0128097612 9780128097601 oai:cds.cern.ch:2237935 cerncds:BOOK SAFARI 9780128097618 eng TJ260.S863 2017 621.40219999999999 Sundén, Bengt Heat transfer in aerospace applications Oxford Academic Press 2016 274 p ebook Front Cover -- HEAT TRANSFER IN AEROSPACE APPLICATIONS -- HEAT TRANSFER IN AEROSPACE APPLICATIONS -- Copyright -- CONTENTS -- PREFACE -- NOMENCLATURE -- 1 - Introduction -- 1.1 HEAT TRANSFER IN GENERAL -- 1.2 SPECIFICS FOR AEROSPACE HEAT TRANSFER -- 1.2.1 Thermal Management -- 1.2.2 Cryogenic Matters -- 1.2.3 Low-Density Heat Transfer -- 1.2.4 Gravity Effects -- 1.2.5 Heat Pipes -- 1.2.6 Auxiliary Equipment -- 1.2.6.1 Heat Exchangers -- 1.2.6.2 Fuel Cells -- 1.2.7 Miscellaneous Topics and SBLI -- REFERENCES -- 2 - Ablation -- 2.1 INTRODUCTION -- 2.2 AN ILLUSTRATIVE EXAMPLE OF ABLATION 2.3 ADDITIONAL INFORMATION -- REFERENCES -- 3 - Aerodynamic Heating: Heat Transfer at High Speeds -- 3.1 INTRODUCTION -- 3.2 HIGH VELOCITY FLOW ALONG A FLAT PLATE -- 3.3 CALCULATION OF THE HEAT TRANSFER -- 3.4 TURBULENT FLOW -- 3.5 INFLUENCE OF THE TEMPERATURE DEPENDENCE OF THE THERMOPHYSICAL PROPERTIES -- 3.6 TEMPERATURE DISTRIBUTION IN THE BOUNDARY LAYER -- 3.7 ILLUSTRATIVE EXAMPLE -- 3.8 AN ENGINEERING EXAMPLE OF A THERMAL PROTECTION SYSTEM -- 3.8.1 Thermal Analysis -- 3.8.2 Finite Element Analysis of Heat Transfer -- 3.8.3 Thermal Results -- 3.9 AERODYNAMIC HEAT REDUCTION -- REFERENCES FURTHER READING -- 4 - Low-Density Heat Transfer: Rarefied Gas Heat Transfer -- 4.1 INTRODUCTION -- 4.2 KINETIC THEORY OF GASES -- 4.3 FLOW REGIMES FOR RAREFIED GASES -- 4.4 METHODS OF ANALYSIS -- 4.5 INTERACTION BETWEEN GAS AND SURFACE -- 4.6 HEAT TRANSFER AT HIGH VELOCITIES -- 4.7 SLIP FLOW REGIME -- 4.7.1 Heat Conduction in Rarefied Gases -- 4.7.1.1 Parallel Plates -- 4.7.2 Example: Cylinder in Crossflow -- 4.7.3 Sphere -- 4.7.4 Flat Plate: Tangential Flow -- 4.8 TRANSITION REGIME -- 4.9 FREE MOLECULAR FLOW REGIME: THE KNUDSEN FLOW -- 4.10 EXAMPLE: LOW-DENSITY HEAT TRANSFER 4.11 EXAMPLE: HEAT TRANSFER IN AN EVACUATED SPACE -- 4.12 MICROCHANNEL APPLICATIONS -- 4.12.1 The Direct Simulation Monte Carlo Method -- REFERENCES -- 5 - Cryogenics -- 5.1 INTRODUCTION -- 5.2 KAPITZA RESISTANCE -- 5.2.1 Kapitza Number -- 5.3 CRYOGENIC TANKS -- 5.4 ANALYSIS OF PRESSURIZATION AND THERMAL STRATIFICATION IN AN LH2 TANK -- 5.4.1 Mathematical Model -- 5.4.2 Thermal Environment -- 5.4.3 Numerical Solution Procedure -- 5.4.4 Results -- 5.5 CRYOGENIC HEAT TRANSFER CHARACTERISTICS -- 5.6 HYDROGEN IN AEROSPACE APPLICATIONS -- REFERENCES -- 6 - Aerospace Heat Exchangers -- 6.1 INTRODUCTION 6.2 APPLICATIONS OF AEROSPACE HEAT EXCHANGERS -- 6.2.1 Gas Turbine Cycles -- 6.2.2 Environmental Control System -- 6.2.3 Thermal Management -- 6.3 GENERAL DESIGN CONSIDERATIONS FOR AEROSPACE HEAT EXCHANGERS -- 6.4 PLATE-FIN HEAT EXCHANGERS -- 6.5 PRINTED CIRCUIT HEAT EXCHANGERS -- 6.6 MICRO HEAT EXCHANGERS -- 6.7 OTHER AEROSPACE HEAT EXCHANGERS -- 6.7.1 Primary Surface Heat Exchangers -- 6.7.2 Heat Pipe Heat Exchanger -- 6.7.3 Heat Exchangers Using New Materials -- 6.7.3.1 Foam Materials -- 6.7.3.2 Ceramic Materials -- 6.8 SUMMARY -- REFERENCES -- 7 - Heat Pipes for Aerospace Application 7.1 INTRODUCTION SAF201702 EBLlink deleted SzGeCERN Engineering BOOK Fu, Juan https://learning.oreilly.com/library/view/-/9780128097618/?ar ebook 201612 n 201648 21 PUBLIC https://catalogue.library.cern/legacy/2237935 BOOK MIGRATED 2237887 SzGeCERN 20170811001654.0 9781118767047 225 (NL),225 (3U),150 (1U) electronic version EBL 4717383 eng TD196.O73.S393 2017 511.51119999999997 Schwarzenbach, René P Environmental organic chemistry 3rd ed. Somerset Wiley 2016 1259 p TitlePage -- Copyright -- Contents -- Preface -- About the Companion Website -- Chapter 1 General Topic and Overview -- 1.1 Introduction -- 1.2 Assessing Organic Chemicals in the Environment -- 1.3 What is This Book All About? -- 1.4 Bibliography -- Part I Background Knowledge -- Chapter 2 Background Knowledge on Organic Chemicals -- 2.1 The Makeup of Organic Compounds -- 2.2 Intermolecular Forces Between Uncharged Molecules -- 2.3 Questions and Problems -- 2.4 Bibliography -- Chapter 3 The Amazing World of Anthropogenic Organic Chemicals -- 3.1 Introduction 3.2 A Lasting Global Problem: Persistent Organic Pollutants (POPs) -- 3.3 Natural but Nevertheless Problematic: Petroleum Hydrocarbons -- 3.4 Notorious Air and Groundwater Pollutants: Organic Solvents -- 3.5 Safety First: Flame Retardants All Around Us -- 3.6 How to Make Materials "Repellent": Polyfluorinated Chemicals (PFCs) -- 3.7 From Washing Machines to Surface Waters: Complexing Agents, Surfactants, Whitening Agents, and Corrosion Inhibitors -- 3.8 Health, Well-Being, and Water Pollution: Pharmaceuticals and Personal Care Products 3.9 Fighting Pests: Herbicides, Insecticides, and Fungicides -- 3.10 Our Companion Compounds: Representative Model Chemicals -- 3.11 Questions -- 3.12 Bibliography -- Chapter 4 Background Thermodynamics, Equilibrium Partitioning and Acidity Constants -- 4.1 Important Thermodynamic Functions -- 4.2 Using Thermodynamic Functions to Quantify Equilibrium Partitioning -- 4.3 Organic Acids and Bases I: Acidity Constant and Speciation in Natural Waters -- 4.4 Organic Acids and Bases II: Chemical Structure and Acidity Constant -- 4.5 Questions and Problems -- 4.6 Bibliography Chapter 5 Earth Systems and Compartments -- 5.1 Introduction -- 5.2 The Atmosphere -- 5.3 Surface Waters and Sediments -- 5.4 Soil and Groundwater -- 5.5 Biota -- 5.5 Questions -- 5.7 Bibliography -- Chapter 6 Environmental Systems: Physical Processes and Mathematical Modeling -- 6.1 Systems and Models -- 6.2 Box Models: A Concept for a Simple World -- 6.3 When Space Matters: Transport Processes -- 6.4 Models in Space and Time -- 6.5 Questions and Problems -- 6.6 Bibliography -- Part II Equilibrium Partitioning in Well-Defined Systems Chapter 7 Partitioning Between Bulk Phases: General Aspects and Modeling Approaches -- 7.1 Introduction -- 7.2 Molecular Interactions Governing Bulk Phase Partitioning of Organic Chemicals -- 7.3 Quantitative Approaches to Estimate Bulk Phase Partition Constants/Coefficients: Linear Free Energy Relationships (LFERs) -- 7.4 Questions -- 7.5 Bibliography -- Chapter 8 Vapor Pressure (pi*) -- 8.1 Introduction and Theoretical Background -- 8.2 Molecular Interactions Governing Vapor Pressure and Vapor Pressure Estimation Methods -- 8.3 Questions and Problems -- 8.4 Bibliography Chapter 9 Solubility (Csatiw) and Activity Coefficient (γsatiw)in Water Gschwend, Philip M Imboden, Dieter M 9781118767238 print version oai:cds.cern.ch:2237887 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4717383 ebook ebook EBL201612 Mathematical Physics and Mathematics SzGeCERN BOOK n 201648 201612 21 PUBLIC BOOK DELETED 2237875 SzGeCERN 20210421212545.0 9781440838569 print version 9781440838576 electronic version 100 (NL),150 (UA),87.5 (3U),50 (1U) electronic version oai:cds.cern.ch:2237875 cerncds:BOOK EBL 4602861 eng Z674.75.W67 -- .W588 2016eb 006.7 Wittmann, Stacy Ann Redesign your library website Oxford Pearson Education 2016 137 p ebook Cover -- Half Title -- Title Page -- Copyright -- Contents -- Preface -- Acknowledgments -- Chapter 1: Introduction -- Chapter 2: Why Does My Library Need a Website? -- Resources -- Chapter 3: Our Website -- Chapter 4: Budget -- Resource -- Chapter 5: Timeline -- Chapter 6: Understanding What You Want -- Environmental Scan -- Checking Your Site -- Chapter 7: Who Does It? -- You -- Contracting with an Outside Developer -- Ready-to-Launch Sites -- Chapter 8: Anatomy of a Website -- Header -- Search Box -- Navigation -- Sidebars Main Content Area -- Headings and Headlines -- Footer -- Photos and Graphics -- Chapter 9: Content -- Required Content -- New Services to Offer -- Content Mapping -- Keeping Content Dynamic -- From Content to Design -- Chapter 10: Design -- Responsive Design -- ADA Compliance and Accessibility -- Navigation Design -- Page Design-Wireframes and Templates -- Branding -- Iterative Design -- User Experience Design -- Resources Chapter 11: Getting Staff Involved and the Style Guide -- Establishing a Timeline for Launch -- Website Style Guide -- Writing for the Web -- Writing Conventions -- Writing Book Reviews -- Page Layouts -- Photos, Graphics, and Videos -- Branding Elements -- Site Navigation Structure -- Custom Site Tools -- General Information to Include -- Resources -- Chapter 12: Marketing -- Community Demographics -- Community Psychometrics Creating a Marketing Plan for Your Website -- Demos of the Site Out in the Community -- Talking Points: What to Highlight about Your New Site -- Giveaways -- Recruiting Usability Testing Participants -- Chapter 13: Launch -- Test Your Responsive Design -- Soft Launch -- Responding to Comments -- Hard Launch with Full Marketing Push -- Chapter 14: Postlaunch and Usability Testing -- Usability Testing -- Website Analytics Website Analysis as Part of Your Overall Communications Strategy -- Resources -- Chapter 15: What We've Learned -- Interview Multiple Developers -- Check Your Developer's References -- Clearly Outline Expectations with Your Web Developer -- Do Not Skip the Environmental Scan -- Remember That Form Should Follow Function -- Begin Fostering Staff Buy-in ASAP -- Start the CMS Training Cycle Once You Decide on One -- Go with Your Gut -- Edit Mercilessly -- Let It Go -- Test Early and Often Learn How Your Design Works EBL201612 Computing and Computers SzGeCERN BOOK Stam, Julianne T https://cds.cern.ch/auth.py?r=EBLIB_P_4602861 ebook n 201648 201612 21 PUBLIC https://catalogue.library.cern/legacy/2237875 BOOK MIGRATED 2237840 SzGeCERN 20191105222700.0 9780470030165 print version 9780470030929 electronic version 239.93 (NL),239.93 (3U),159.95 (1U) electronic version oai:cds.cern.ch:2237840 cerncds:BOOK EBL 1779305 eng TK452 -- .J39 2006eb 621.3 Jay, Stephen Andrew High voltage electricity installations a planning perspective Somerset John Wiley & Sons 2006 331 p Rsp ser High Voltage Electricity Installations: A Planning Perspective -- Copyright -- Contents -- List of Figures -- List of Tables -- Preface -- Acknowledgements -- Abbreviations Used in the Text -- Chapter 1 Introduction -- 1.1 The Development of High-Voltage Systems -- 1.2 Land-Use Planning Relating to HVDT Installations -- 1.3 Local Planning Authorities and HVDT Installations -- 1.4 The Formation of HVDT-related Policy by LPAs -- 1.5 Scope and Organisation of the Book -- Chapter 2 High-voltage Distribution and Transmission in England and Wales -- 2.1 Introduction The Land-Use Planning of HVDT Installations -- 2.2 Consent Procedures for HVDT Installations -- 2.3 The Electricity Act 1989 -- 2.4 Other Provisions Relating to Consent -- 2.5 Environmental Impact Assessment -- 2.6 Safety Standards and Draft EMF Circular -- The Environmental Effects of HVDT Installations -- 2.7 Perspectives on the Environmental Effects of HVDT -- 2.8 Corporate Environmental Reports -- 2.9 Environmental Statements for Proposed Projects -- 2.10 Industry Planning Guidelines -- 2.11 Cigre Papers -- 2.12 Electricity Industry Perspectives on the Effects of HVDT -- 2.13 Conclusion Chapter 3 The Development Plan System in England and Wales -- 3.1 Introduction -- The Establishment of the Development Plan System -- 3.2 Development Plans from 1947 to 1991 -- 3.3 Development Plans Since 1991 -- The Expression of Interests in Development Plans -- 3.4 Recent Features of Plan-Making -- 3.5 Procedures for Consultation and Participation in Plan-Making -- 3.6 The Role of Different Interests in Plan-Making -- 3.7 Conclusion -- Chapter 4 An Approach to the Analysis of HVDT-related Policy -- 4.1 Introduction -- 4.2 A Framework for the Empirical Study of HVDT-related Policy 4.3 Study of HVDT-related Policy Across England and Wales -- 4.4 Localised Study of HVDT-related Policy -- 4.5 Combining Results -- Chapter 5 HVDT-related Policy across England and Wales -- 5.1 Introduction -- 5.2 Development Plan Processes with HVDT-Related Policy -- 5.3 HVDT-related Policy Concerns -- 5.4 HVDT-related Policy and Aspects of DPPs -- 5.5 Geographical Distribution of HVDT-related Policy -- 5.6 Patterns in HVDT-related Policy -- 5.7 Case Study Selection -- 5.8 Conclusion -- Chapter 6 Case Studies (1): Urbanised Areas -- 6.1 Introduction -- Swindon Borough Council -- 6.2 Introduction 6.3 Articulation of Policy -- 6.4 Key Policy Issues -- 6.5 Conclusion -- Rotherham Metropolitan Borough Council -- 6.6 Introduction -- 6.7 Articulation of Policy -- 6.8 Key Policy Issues -- 6.9 Conclusion -- Newham Council -- 6.10 Introduction -- 6.11 Articulation of Policy -- 6.12 Key Policy Issues -- 6.13 Conclusion -- Chapter 7 Case Studies (2): Rural Areas -- 7.1 Introduction -- Tynedale Council -- 7.2 Introduction -- 7.3 Articulation of Policy -- 7.4 Key Policy Issues -- 7.5 Conclusion -- Norfolk County Council -- 7.6 Introduction -- 7.7 Articulation of Policy -- 7.8 Key Policy Issues 7.9 Conclusion The presence of high voltage power lines has provoked widespread concern for many years. High Voltage Electricity Installations presents an in-depth study of policy surrounding the planning of high voltage installations, discussing the manner in which they are percieved by the public, and the associated environmental issues. An analysis of these concerns, along with the geographical, environmental and political influences that shape their expression, is presented. Investigates local planning policy in an area of the energy sector that is of highly topical environmental and public concern Cover https://cds.cern.ch/auth.py?r=EBLIB_P_1779305 ebook ebook EBL Electric apparatus and appliances EBL201612 Engineering SzGeCERN BOOK n 201648 21 PUBLIC BOOK DELETED 2237787 SzGeCERN 20180410204925.0 9781482206562 194.93 (NL),162.44 (3U),129.95 (1U) electronic version EBL 1408085 eng T55.3.H3 -- .T844 2014eb 613.62 Tweedy, James T Healthcare hazard control and safety management 3rd ed. London CRC Press 2014 586 p Front Cover -- Contents -- Preface -- Acknowledgments -- Author -- Chapter 1: Healthcare Hazard Control -- Chapter 2: Understanding Accidents -- Chapter 3: Leadership and Management -- Chapter 4: Federal Agencies, Standards Organizations, and Voluntary Associations -- Chapter 5: Facility Safety -- Chapter 6: Emergency Management -- Chapter 7: Hazardous Materials -- Chapter 8: Infection Control and Prevention -- Chapter 9: Fire Safety Management -- Chapter 10: Environmental Services and Food/Dietary Department Safety -- Chapter 11: Support Department Safety Chapter 12: Nursing and Clinical Area Safety Topics -- Chapter 13: Patient Safety -- Chapter 14: Radiation, Laboratory, and Pharmacy Safety -- Appendix A: Hazard Control Management Evaluation Scoring System (HCESS) -- Appendix B: Worker Perception Survey Questions -- Appendix C: Sample Hazard Control Policy Statement -- Appendix D: Hazard Correction Status Form -- Appendix E: Sample Elements -- Appendix F: Improvement Principles -- Appendix G: Causal Factors Chart -- Appendix H: Ergonomic Symptoms Report -- Appendix I: Hazardous Exposure Limits and Terms Appendix J: Revised Hazard Communication Standard -- Appendix K: Hazard Communication Training Record -- Appendix L: Numerical Hazardous Material Ratings -- Appendix M: Model Hazard Communication Plan -- Appendix N: List of Selected NFPA Codes and Standards -- Appendix O: Personal Protective Equipment Hazard Assessment Form (Sample) -- Appendix P: HAZWOPER Training Requirements (29 CFR 1910.120) -- Appendix Q: Retention of Occupational Safety and Health Act Records -- Appendix R: Model Respirator Plan for Small Businesses -- Appendix S: Sample Accident Investigation Report Appendix T: Workplace Violence Prevention Policy -- Appendix U: OSHA Construction Safety Plan Outline -- Appendix V: Hazard Control-Related Acronyms -- Appendix W: Bloodborne Training Requirements -- Appendix X: Patient and Resident Moving Guidelines -- Appendix Y: Patient Safety Plan Development Considerations -- Appendix Z: Construction Infection Control Program Elements -- Appendix AA: TB Model Exposure Control Plan -- Appendix BB: Glossary of Terms -- Appendix CC: AHRQ Patient Safety Tools and Resources -- Appendix DD: Agency Listings -- Appendix EE: NIOSH Healthcare Worker Information Appendix FF: OSHA Publication Listing -- Bibliography -- Back Cover Comprehensive in scope, this totally revamped edition of a bestseller is the ideal desk reference for anyone tasked with hazard control and safety management in the healthcare industry. Presented in an easy-to-read format, Healthcare Hazard Control and Safety Management, Third Edition examines hazard control and safety management as proactive functions of an organization. Like its popular predecessors, the book supplies a complete overview of hazard control, safety management, compliance, standards, and accreditation in the healthcare industry. This edition includes new information on leadersh 9781482206555 print version oai:cds.cern.ch:2237787 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1408085 ebook ebook EBL Hazardous substances -- United States -- Safety measures EBL Health facilities -- Law and legislation -- United States EBL Health facilities -- Safety regulations -- United States EBL Health facilities -- United States -- Safety measures EBL Industrial hygiene -- United States EBL Industrial safety -- United States EBL201612 Health Physics and Radiation Effects SzGeCERN BOOK n 201648 201612 21 PUBLIC BOOK DELETED 2237688 20171102133043.0 oai:cds.cern.ch:2237688 cerncds:FULLTEXT CERN-ACC-NOTE-2016-0069 eng Kautzmann, Guillaume AUTHOR|(CDS)2083192 AUTHOR|(SzGeCERN)681068 guillaume.kautzmann@cern.ch HIE-Isolde: Commissioning and first results of the Mathilde system monitoring the positions of cavities and solenoids inside cryomodules 2016 CERN Geneva 05 Dec 2016 7 p The new superconducting HIE-ISOLDE Linac replaced most of pre-existing REX ISOLDE facility at CERN. This upgrade involves the design, construction, installation and commissioning of 4 high-β cryomodules. Each high-β cryomodule houses five superconducting cavities and one superconducting solenoid. Beam-physics simulations show that the optimum linac working conditions are obtained when the main axes of the active components, located inside the cryostats, are aligned and permanently monitored on the REX Nominal Beam Line (NBL) within a precision of 0.3 mm for the cavities and 0.15 mm for the solenoids at one sigma level along directions perpendicular to the beam axis. The Monitoring and Alignment Tracking for HIE-ISOLDE (MATHILDE) system has been developed to fulfil the alignment and monitoring needs for components exposed to non-standard environmental conditions such as high vacuum or cryogenic temperatures. MATHILDE is based on opto-electronic sensors (HBCAM) observing, through high quality viewports, spherical retroreflectors made of high index (~2) glass. Precise mechanical parts, metrological tables and the, so called, MATHIS software were designed to be able to reconstruct the position of the active elements within a precision of 0.1 mm. The commissioning of MATHILDE and its first results to monitor the cavity and solenoid positions, especially during the installation and tests of the two first cryomodules on the HIE-ISOLDE Linac, are reviewed in this contribution. CERN EDS UNCL SzGeCERN Engineering HIE-ISOLDE CERN BCAM CERN Monitoring CERN Survey CERN Alignment CERN CERN INTNOTE PUBLATS CERN ISOLDE Gayde, Jean-Christophe AUTHOR|(INSPIRE)INSPIRE-00204139 AUTHOR|(SzGeCERN)394632 AUTHOR|(CDS)2070703 CERN Jean-Christophe.Gayde@cern.ch Klumb, Francis AUTHOR|(CDS)2085863 AUTHOR|(SzGeCERN)405363 CERN francis.klumb@cern.ch ATS CERN. Geneva. ATS Department 1258683 438182 http://cds.cern.ch/record/2237688/files/HIE-Isolde Commissioning and first results of the Mathilde system monitoring the positions of cavities and solenoids inside cryomodules.pdf 1258683 5611393 http://cds.cern.ch/record/2237688/files/HIE-Isolde Commissioning and first results of the Mathilde system monitoring the positions of cavities and solenoids inside cryomodules.pdf?subformat=pdfa pdfa anna.lambert@cern.ch n 201649 12 PUBLIC INTNOTEATSPUBL NOTE TECHNOTE 2237504 SzGeCERN 20210423004059.0 IEC-61017 eng fre 13.280 International Electrotechnical Commission. Geneva Radiation protection instrumentation - Transportable, mobile or installed equipment to measure photon radiation for environmental monitoring Instrumentation pour la radioprotection - Equipement transportable, mobile ou installé pour mesurer le rayonnement de photons pour la surveillance de l'environnement Geneva IEC 2016 90 p SzGeCERN Engineering STANDARD 1258457 1796580 http://cds.cern.ch/record/2237504/files/iec61017.pdf 1258457 3763847 http://cds.cern.ch/record/2237504/files/iec61017.pdf?subformat=pdfa pdfa h 201649 21 https://catalogue.library.cern/legacy/2237504 BOOK STANDARD MIGRATED 2237431 SzGeCERN 20210421212552.0 9781119088042 electronic version electronic version 9781119088059 print version, hardback oai:cds.cern.ch:2237431 cerncds:BOOK eng Ismail, Muhammad Green heterogeneous wireless networks Hoboken, NJ Wiley-IEEE Press 2016 255 p ebook This book focuses on the emerging research topic "green (energy efficient) wireless networks" which has drawn huge attention recently from both academia and industry. This topic is highly motivated due to important environmental, financial, and quality-of-experience (QoE) considerations. Specifically, the high energy consumption of the wireless networks manifests in approximately 2% of all CO2 emissions worldwide. This book presents the authors’ visions and solutions for deployment of energy efficient (green) heterogeneous wireless communication networks. The book consists of three major parts. The first part provides an introduction to the "green networks" concept, the second part targets the green multi-homing resource allocation problem, and the third chapter presents a novel deployment of device-to-device (D2D) communications and its successful integration in Heterogeneous Networks (HetNets). The book is novel in that it specifically targets green networking in a heterogeneous wireless medium, which represents the current and future wireless communication medium faced by the existing and next generation communication networks. The book focuses on multi-homing resource allocation, exploiting network cooperation, and integrating different and new network technologies (radio frequency and VLC), expanding the network coverage and integrating new device centric communication paradigms such as D2D Communications. Whilst the book discusses a significant research topic supported with advanced mathematical analysis, the resulting algorithms and solutions are explained and summarized in a way that is easy to follow and grasp. This book is suitable for networking and telecommunications engineers, researchers in industry and academia, as well as students and instructors. IEEE201612 SzGeCERN Engineering BOOK Zeeshan Shakir, Muhammad Nee, Hans-Peter Qaraqe, Khalid A Serpedin, Erchin https://ezproxy.cern.ch/login?url=http://ieeexplore.ieee.org/servlet/opac?bknumber=7601529 ebook 201612 IEEE h 201648 21 https://catalogue.library.cern/legacy/2237431 BOOK MIGRATED 2237369 SzGeCERN 20210421212558.0 9783319401553 print version 9783319401577 electronic version electronic version DOI 10.1007/978-3-319-40157-7 ebook oai:cds.cern.ch:2237369 cerncds:BOOK eng T57-57.97 23 519 Mathematical problems in meteorological modelling Cham Springer 2016 ebook Mathematics in industry. The European Consortium for Mathematics in Industry 24 1612-3956 Part I: Numerical Methods for Meteorological Problems: 1 On a Conservative Finite-Difference Method for 1D Shallow Water Flows Based on Regularized Equations: A. Zlotnik and V. Gavrilin -- 2 Discretization in Numerical Weather Prediction: A Modular Approach to Investigate Spectral and Local SISL Methods: S. Caluwaerts et al -- 3 Turbulence Modeling Using Fractional Derivatives: B. Szekeres -- 4 A Parallel Numerical Solution Approach for Nonlinear Parabolic Systems Arising in Air Pollution Transport Problems: J. Karátson and B. Kovács -- Part II: Air Quality Modelling: 5 Eulerian and Largangian Approaches for Modelling of Air Quality: A. Havasi et al -- 6 Hydrodynamic Modeling of Industrial Pollutants Spreading in Atmosphere: V.A. Prusow and A.Y. Doroshenko -- 7 Coordinate Transformation Approach for Numerical Solution of Environmental Problems: I. Dimov et al -- 8 Impact of Climatic Changes on Pollution Levels: Z. Zlatev et al -- Part III: Meteorological Data Assimilation and Probabilistic Forecasting: 9 An Invitation to Meteorological Data Assimilation: A. Bodó and P. Csomós -- 10 Analysis of the Data Assimilation Methods from the Mathematical Point of View: T. Szentimrey.-11 Ensemble Methods in Meteorological Modelling by M. Szücs et al -- 12 Quantifying Sources of Uncertainty in Precipitation and Temperature Projections over Different Parts of Europe: P. Szabó and G. Szépszò. This book deals with mathematical problems arising in the context of meteorological modelling. It gathers and presents some of the most interesting and important issues from the interaction of mathematics and meteorology. It is unique in that it features contributions on topics like data assimilation, ensemble prediction, numerical methods, and transport modelling, from both mathematical and meteorological perspectives. The derivation and solution of all kinds of numerical prediction models require the application of results from various mathematical fields. The present volume is divided into three parts, moving from mathematical and numerical problems through air quality modelling, to advanced applications in data assimilation and probabilistic forecasting. The book arose from the workshop “Mathematical Problems in Meteorological Modelling” held in Budapest in May 2014 and organized by the ECMI Special Interest Group on Numerical Weather Prediction. Its main objective is to highlight the beauty of the development fields discussed, to demonstrate their mathematical complexity and, more importantly, to encourage mathematicians to contribute to the further success of such practical applications as weather forecasting and climate change projections. Written by leading experts in the field, the book provides an attractive and diverse introduction to areas in which mathematicians and modellers from the meteorological community can cooperate and help each other solve the problems that operational weather centres face, now and in the near future. Readers engaged in meteorological research will become more familiar with the corresponding mathematical background, while mathematicians working in numerical analysis, partial differential equations, or stochastic analysis will be introduced to further application fields of their research area, and will find stimulation and motivation for their future research work. Mathematics and statistics SPR201612 SzGeCERN Mathematical Physics and Mathematics SPR Computer simulation SPR Partial differential equations SPR Simulation and Modeling SPR Computational Mathematics and Numerical Analysis SPR Partial Differential Equations SPR Statistical Theory and Methods BOOK Bátkai, András ed. Csomós, Petra ed. Faragó, István ed. Horányi, András ed. Szépszó, Gabriella ed. 201612 SPR n 201648 21 PUBLIC https://catalogue.library.cern/legacy/2237369 BOOK MIGRATED 2237367 SzGeCERN 20210421212559.0 9783319390918 print version 9783319390925 electronic version electronic version DOI 10.1007/978-3-319-39092-5 ebook oai:cds.cern.ch:2237367 cerncds:BOOK eng QC19.2-20.85 519 23 Mathematical paradigms of climate science Cham Springer 2016 ebook Springer INdAM series 2281-518x 15 1 Christof Meile and Chris K. R. T. Jones: A mathematical perspective on microbial processes in Earth's biogeochemical cycles -- 2 Fatiha Alabau-Boussouira, Piermarco Cannarsa and Masahiro Yamamoto: Source reconstruction by partial measurements for a class of hyperbolic systems in cascade -- 3 Didier Auroux, Jacques Blum and Giovanni Ruggiero: Data assimilation for geophysical fluids: the diffusive back and forth nudging -- 4 Alberto Carrassi and Stéphane Vannitsem: Deterministic treatment of model error in geophysical data assimilation -- 5 Franco Flandoli: Remarks on stochastic Navier-Stokes equations -- 6 Jan Gairing, Michael Högele, Tetiana Kosenkova and Alexei Kulik: On the calibration of Lévy driven time series with coupling distances and an application in paleoclimate -- 7 Damon McDougall and Chris K. R. T. Jone:, Decreasing flow uncertainty in Bayesian inverse problems through Lagrangian drifter control -- 8 Takahito Mitsui and Michel Crucifix: Effects of additive noise on the stability of glacial cycles -- 9 Francesco Paparella: Turbulence, Horizontal Convection, and the Ocean's Meridional Overturning Circulation -- 10 Alessio Porretta and Enrique Zuazua: Remarks on long time versus steady state optimal control. This book, featuring a truly interdisciplinary approach, provides an overview of cutting-edge mathematical theories and techniques that promise to play a central role in climate science. It brings together some of the most interesting overview lectures given by the invited speakers at an important workshop held in Rome in 2013 as a part of MPE2013 (“Mathematics of Planet Earth 2013”). The aim of the workshop was to foster the interaction between climate scientists and mathematicians active in various fields linked to climate sciences, such as dynamical systems, partial differential equations, control theory, stochastic systems, and numerical analysis. Mathematics and statistics already play a central role in this area. Likewise, computer science must have a say in the efforts to simulate the Earth’s environment on the unprecedented scale of petabytes. In the context of such complexity, new mathematical tools are needed to organize and simplify the approach. The growing importance of data assimilation techniques for climate modeling is amply illustrated in this volume, which also identifies important future challenges. This timely work is mainly addressed to any researcher active in climate science to learn more on qualitative and quantitative methods recently developed for their discipline as well as mathematicians with a strong interest in environmental science. It may also be useful to PhD students in applied mathematics to find excellent research subjects for their thesis. Mathematics and statistics SPR201612 SzGeCERN Mathematical Physics and Mathematics SPR Physical geography SPR System theory SPR Mathematical physics SPR Geophysics SPR Mathematical Applications in the Physical Sciences SPR Systems Theory, Control SPR Earth System Sciences SPR Geophysics and Environmental Physics SPR Applications of Nonlinear Dynamics and Chaos Theory BOOK Ancona, Fabio ed. Cannarsa, Piermarco ed. Jones, Christopher ed. Portaluri, Alessandro ed. SPR n 201648 201612 21 PUBLIC https://catalogue.library.cern/legacy/2237367 BOOK MIGRATED 2237355 SzGeCERN 20210422083924.0 9783319437071 print version 9783319437095 electronic version electronic version DOI 10.1007/978-3-319-43709-5 e-proceedings oai:cds.cern.ch:2237355 cerncds:CONF eng TA342-343 003.3 23 2nd International Conference on Dynamics of Disasters Kalamata, Greece 29 Jun - 2 Jul 2015 2015 kalamata20150629 GR 2 20150702 20150629 Cham Springer 2016 ebook Springer proceedings in mathematics & statistics 2194-1009 185 An assessment of the impact of natural and technological disasters using a DEA approach -- Selective Routing for Post-Disaster Needs Assessments -- Bridging the Gap: Preparing for Long-Term Infrastructure Disruptions -- Multi-Hazard Scenarios and Impact Mapping for a Protected Built Area in Bucharest, as a base for Emergency Planning -- Lean thinking and UN field operations: A successful co-existence? -- Collaborative incident planning and the common operational picture -- Metaheuristic Optimization for Logistics in Natural Disasters -- Tsunami of the meteoric origin -- The Donation Collections Routing Problem -- Network criticality and network complexity indicators for the assessment of critical infrastructures during disasters -- Freight Service Provision for Disaster Relief: A Competitive Network Model with Computations -- A Mean-Variance Disaster Relief Supply Chain Network Model for Risk Reduction with Stochastic Link Costs, Time Targets, and Demand Uncertainty -- A Review of Current Earthquake and Fire Preparedness Campaigns: What works? -- The Impact of the Syria Crisis on Lebanon -- Absenteeism Impact on Local Economy During a Pandemic via Hybrid SIR Dynamics -- Tornado Detection with Kernel-Based Classifiers from WSR-88D Radar Data -- Evacuation modeling and betweenness centrality -- Ode to the Humanitarian Logistician: Humanistic Logistics through a Nurse’s Eye. This volume results from the “Second International Conference on Dynamics of Disasters” held in Kalamata, Greece, June 29-July 2, 2015. The conference covered particular topics involved in natural and man-made disasters such as war, chemical spills, and wildfires. Papers in this volume examine the finer points of disasters through: · Critical infrastructure protection · Resiliency · Humanitarian logistic · Relief supply chains · Cooperative game theory · Dynamical systems · Decision making under risk and uncertainty · Spread of diseases · Contagion · Funding for disaster relief · Tools for emergency preparedness · Response, and risk mitigation Multi-disciplinary theories, tools, techniques and methodologies are linked with disasters from mitigation and preparedness to response and recovery. The interdisciplinary approach to problems in economics, optimization, government, management, business, humanities, engineering, medicine, mathematics, computer science, behavioral studies, emergency services, and environmental studies will engage readers from a wide variety of fields and backgrounds. Mathematics and statistics SPR201612 SzGeCERN Mathematical Physics and Mathematics SPR Operations research SPR Decision making SPR Emergency medicine SPR Game theory SPR Mathematical models SPR Management science SPR Mathematical Modeling and Industrial Mathematics SPR Operation ResearchDecision Theory SPR Emergency Services SPR Game Theory, Economics, Social and Behav Sciences SPR Operations Research, Management Science PROCEEDINGS CONFERENCE Kotsireas, Ilias ed. Nagurney, Anna ed. Pardalos, Panos ed. Dynamics of disasters : key concepts, models, algorithms, and insights SPR n 201648 201612 42 PUBLIC https://catalogue.library.cern/legacy/2237355 PROCEEDINGS MIGRATED 2237350 SzGeCERN 20210422083928.0 9783319426785 print version 9783319426792 electronic version electronic version DOI 10.1007/978-3-319-42679-2 e-proceedings oai:cds.cern.ch:2237350 cerncds:CONF eng QH323.5 QH324.2-324.25 570.285 23 Mathematical Models and Methods for Living Systems Levico terme, Italy 1 - 6 Sep 2014 2014 levicoterme20140901 IT 20140906 20140901 Cham Springer 2016 ebook Lecture notes in mathematics 0075-8434 2167 Preface -- Cell-based, continuum and hybrid models of tissue dynamics -- The Diffusion Limit of Transport Equations in Biology -- Mathematical Models of the Interaction of Cells and Cell Aggregates with the Extracellular Matrix -- Mathematical modeling of morphogenesis in living materials -- Multiscale computational modelling and analysis of cancer invasion. The aim of these lecture notes is to give an introduction to several mathematical models and methods that can be used to describe the behaviour of living systems. This emerging field of application intrinsically requires the handling of phenomena occurring at different spatial scales and hence the use of multiscale methods. Modelling and simulating the mechanisms that cells use to move, self-organise and develop in tissues is not only fundamental to an understanding of embryonic development, but is also relevant in tissue engineering and in other environmental and industrial processes involving the growth and homeostasis of biological systems. Growth and organization processes are also important in many tissue degeneration and regeneration processes, such as tumour growth, tissue vascularization, heart and muscle functionality, and cardio-vascular diseases. Mathematics and statistics SPR201612 SzGeCERN Mathematical Physics and Mathematics SPR Biomedicine general PROCEEDINGS CONFERENCE Preziosi, Luigi ed. Chaplain, Mark ed. Pugliese, Andrea ed. SPR n 201648 201612 42 PUBLIC https://catalogue.library.cern/legacy/2237350 PROCEEDINGS MIGRATED 2237275 SzGeCERN 20171105100206.0 oai:arXiv.org:1611.10339 http://export.arxiv.org/oai2 2016-12-01 2016-12-02T09:34:13Z true arXiv arXiv:1611.10339 eng López-Corona, Oliver Ramírez-Carrillo, Elvia Pérez-Cirera, Vanessa de León-González, Fernando Dirzo, Rodolfo http://arxiv.org/pdf/1611.10339.pdf Preprint n 201648 More than trees, do we need a complex perspective for sustainable forest management? 30 Nov 2016 16 p Forests are complex systems, and it is necessary to include this characteristic in every forest definition, in order to consider the restriction that this imposes in terms of prediction and control. This lost of predictability and controllability should be incorporated in every Environmental Impact Assessment or management program. We present two case-studies located in Mexico and one in the US to illustrate three relevant indicators of complexity. First, we introduce an informational framework to measure the Zoquiapan forest systemic complexity. Then, we analyze complexity changes among different types of forest and management systems, related with spatial distributions, using data from a floristic study in the Montes Azules National Park. Finally, we analyze time series of $CO_{2}$ fluctuations taken from AMERIFLUX data bases. Our results show firstly that it is possible to measure the systemic complexity of different forests, characteized by a criticality state (1/f noise) which has been proposed as a finger print of complexity. And secondly, that this characteristic can be used as a proxy of their state of conservation, where the lowest complexity values are found in perturbed areas showing the relevance of the concept and its measurement for forest conservation and management. Comments: 16 pages, 7 figures http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv q-bio.PE arXiv physics.soc-ph LANL EDS q-bio.PE LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2237224 SzGeCERN 20171016220034.0 oai:arXiv.org:1611.09780 http://export.arxiv.org/oai2 2016-11-30 2016-12-02T09:33:44Z arXiv true arXiv Inspire 1500757 arXiv:1611.09780 eng Saggu, Parminder Mineeva, Taisiya Arif, Muhammad Cory, David Haun, Robert Heacock, Ben Huber, Michael Li, Ke Nsofini, Joachim Sarenac, Dusan Shahi, Chandra Skavysh, Vladimir Snow, William Werner, Samuel Young, Albert Pushin, Dmitriy http://arxiv.org/pdf/1611.09780.pdf Preprint n 201648 Decoupling of a Neutron Interferometer from Temperature Gradients 29 Nov 2016 mult. p Neutron interferometry enables precision measurements that are typically operated within elaborate, multi-layered facilities which provide substantial shielding from environmental noise. These facilities are necessary to maintain the coherence requirements in a perfect crystal neutron interferometer which is extremely sensitive to local environmental conditions such as temperature gradients across the interferometer, external vibrations, and acoustic waves. The ease of operation and breadth of applications of perfect crystal neutron interferometry would greatly benefit from a mode of operation which relaxes these stringent isolation requirements. Here, the INDEX Collaboration and National Institute of Standards and Technology demonstrates the functionality of a neutron interferometer in vacuum and characterize the use of a compact vacuum chamber enclosure as a means to isolate the interferometer from spatial temperature gradients and time-dependent temperature fluctuations. The vacuum chamber is found to have no depreciable effect on the performance of the interferometer (contrast) while improving system stability, thereby showing that it is feasible to replace large temperature isolation and control systems with a compact vacuum enclosure for perfect crystal neutron interferometry. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Detectors and Experimental Techniques arXiv physics.ins-det LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2237072 SzGeCERN 20171016220212.0 oai:arXiv.org:1611.08265 http://export.arxiv.org/oai2 2016-11-28 2016-12-02T09:33:44Z arXiv true arXiv Inspire 1500264 arXiv:1611.08265 eng Chou, Aaron Glass, Henry Gustafson, H Richard Hogan, Craig Kamai, Brittany L Kwon, Ohkyung Lanza, Robert McCuller, Lee Meyer, Stephan S Richardson, Jonathan Stoughton, Chris Tomlin, Ray Weiss, Rainer http://arxiv.org/pdf/1611.08265.pdf Preprint n 201648 The Holometer: An Instrument to Probe Planckian Quantum Geometry 24 Nov 2016 This paper describes the Fermilab Holometer, an instrument for measuring correlations of position variations over a four-dimensional volume of space-time. The apparatus consists of two co-located, but independent and isolated, 40m power-recycled Michelson interferometers, whose outputs are cross-correlated to 25 MHz. The data are sensitive to correlations of differential position across the apparatus over a broad band of frequencies up to and exceeding the inverse light crossing time, 7.6 MHz. A noise model constrained by diagnostic and environmental data distinguishes among physical origins of measured correlations, and is used to verify shot-noise-limited performance. These features allow searches for exotic quantum correlations that depart from classical trajectories at spacelike separations, with a strain noise power spectral density sensitivity smaller than the Planck time. The Holometer in current and future configurations is projected to provide precision tests of a wide class of models of quantum geometry at the Planck scale, beyond those already constrained by currently operating gravitational wave observatories. Comments: Submitted to Classical and Quantum Gravity http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Detectors and Experimental Techniques arXiv physics.ins-det LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2237063 SzGeCERN 20171106062517.0 DOI 10.1002/2014JA020508 oai:arXiv.org:1611.08171 http://export.arxiv.org/oai2 2016-11-28 2016-12-02T09:33:44Z arXiv true arXiv arXiv:1611.08171 eng Tyssøy, H Nesse Stadsnes, J http://arxiv.org/pdf/1611.08171.pdf Preprint n 201648 Cutoff latitude variation during solar proton events: Causes and consequences 24 Nov 2016 mult. p To accurately quantify the effect of solar proton events (SPEs) on the atmosphere requires a good estimate of the particle energy deposition in the middle atmosphere (60- 100 km) and how the energy is distributed globally. Protons in the energy range 1-20MeV, depositing their energy in the middle atmosphere, are subject to more complex dynamics with strong day-night asymmetries compared to higher-energy particles. Our study targets six SPEs from 2003 to 2012. By using measurements from the Medium Energy Proton and Electron Detector on all available Polar Orbit Environment Satellites (POES), we show that in the main phase of geomagnetic storms the dayside cutoff latitudes are pushed poleward, while the nightside cutoff latitudes have the opposite response, resulting in strong day-night asymmetries in the energy deposition. These features cannot bemeasured by the frequently used Geostationary Operational Environmental Satellites (GOES). Assuming that the protons impact the polar atmosphere homogeneously above a fixed nominal latitude boundary will therefore give a significant overestimate of the energy deposited in the middle atmosphere during SPEs. We discuss the magnetospheric mechanisms responsible for the local time response in the cutoff latitudes and provide a simple applicable parameterization which includes both dayside and nightside cutoff latitude variability using only the Dst, the northward component of the interplanetary magnetic field, and solar wind pressure. The parameterization is utilized on the GOES particle fluxes, and the resulting energy deposition successfully captures the day-night asymmetry in good agreement with the energy deposition predicted from the POES measurement. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Other Fields of Physics arXiv physics.space-ph LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2236315 SzGeCERN 20220121041727.0 DOI bibmatch 10.1103/PhysRevC.96.025808 oai:cds.cern.ch:2236315 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:1611.09006 Inspire 1500478 arXiv arXiv:1611.09006 nucl-ex eng Wallner, Anton anton.wallner@anu.edu.au Australian Natl. U., Canberra Vienna U. Department of Nuclear Physics, Research School of Physics and Engineering, The Australian National University , Canberra, ACT 2601, Australia VERA Laboratory, Faculty of Physics, University of Vienna , Austria http://arxiv.org/pdf/1611.09006.pdf Preprint 2205582 593100 http://cds.cern.ch/record/2236315/files/VERA_fig3_stretched.png 00003 Color online. Schematic layout of the AMS facility VERA. Negative Fe ions were extracted from the ion source and mass analyzed before the tandem accelerator. After stripping in the terminal the 3-fold positivley charged (3$^+$) ions with an energy of 12 MeV were selected for analysis. The stable $^{54,56}$Fe nuclei were measured with Faraday cups, and the rare nuclide $^{55}$Fe was counted in one of the three subsequent particle detectors (see text for details). 2205583 69285 http://cds.cern.ch/record/2236315/files/55Fe_56Fe_481_keV.png 00005 Mean $^{55}$Fe/$^{56}$Fe ratios as obtained during the various AMS beam times. The upper panel gives the data for the two samples irradiated at KIT with a quasi-stellar Maxwell-Boltzmann spectrum, the lower panel represents the data for the two samples irradiated at KIT with higher energies around 481 keV. The solid and dashed lines represent the weighted mean and the standard deviation of the mean for the respective samples. 2205584 83233 http://cds.cern.ch/record/2236315/files/55Fe_56Fe_25_keV.png 00004 Mean $^{55}$Fe/$^{56}$Fe ratios as obtained during the various AMS beam times. The upper panel gives the data for the two samples irradiated at KIT with a quasi-stellar Maxwell-Boltzmann spectrum, the lower panel represents the data for the two samples irradiated at KIT with higher energies around 481 keV. The solid and dashed lines represent the weighted mean and the standard deviation of the mean for the respective samples. 2205585 700764 http://cds.cern.ch/record/2236315/files/macs30comp_noref.png 00007 Comparison of the present MACS value at $kT=30$ keV with the recommended value in the compilation of Ref. \cite{DPK14}, data obtained in previous TOF measurements (\cite{AMB79,BCR83,Giu14,GDT14}), and calculated from the evaluated cross sections in the ENDF/B-VII.1 \cite{CHO11}, JENDL-4.0 \cite{SIN11}, and JEFF-3.2 \cite{JEF14} libraries. 2205586 23098 http://cds.cern.ch/record/2236315/files/fig02b.png 00002 Neutron energy distributions in the irradiations at the Karlsruhe Van de Graaff accelerator obtained with protons of 1912 keV energy (top) and with 2284 keV (bottom). 2205587 32897 http://cds.cern.ch/record/2236315/files/setup.png 00000 Color online. Schematic sketch of the setup used for the neutron activations at the Karlsuhe Van de Graaff. 2205588 39078 http://cds.cern.ch/record/2236315/files/fig02a.png 00001 Neutron energy distributions in the irradiations at the Karlsruhe Van de Graaff accelerator obtained with protons of 1912 keV energy (top) and with 2284 keV (bottom). 2205589 1506482 http://cds.cern.ch/record/2236315/files/arXiv:1611.09006.pdf 2205590 77634 http://cds.cern.ch/record/2236315/files/thermal_xs.png 00006 (Color online) Comparison of the thermal cross section values obtained in this work from two independent activations with thermal (ATI) and cold (BNC) neutrons. Also plotted are the two previous experiments from more than 60 years ago by Brooksbank {\it et al.} \cite{BLL55} and by Pomerance \cite{Pom52}. The weighted average (square) of our work is in very good agreement with the value of \cite{Pom52} that was the basis for the recommend value in \cite{Mug06}. Also plotted is a new value quoted by Belgya et al. that is based on an improved decay scheme of $^{55}$Fe\cite{BKS13}. 2205591 29801 http://cds.cern.ch/record/2236315/files/macscomp.png 00008 (Color online) Recommended MACS values between $kT$=5 and 100 keV compared to data obtained with evaluated cross sections from ENDF/B-VII.1 \cite{CHO11} and from TOF-based experimental data \cite{Giu14,BCR83,AMB77} (see text for details). n 201648 13 ARTICLE Precise measurement of the thermal and stellar $^{54}$Fe($n, \gamma$)$^{55}$Fe cross sections via AMS arXiv Precise measurement of the thermal and stellar $^{54}$Fe($n, \gamma$)$^{55}$Fe cross sections via AMS 2017-08-28 28 Nov 2016 13 p APS Accelerator mass spectrometry (AMS) represents a complementary approach for precise measurements of neutron capture cross sections, e.g., for nuclear astrophysics. This technique, completely independent of previous experimental methods, was applied for the measurement of the Fe54(n,γ)Fe55 reaction. Following a series of irradiations with neutrons from cold and thermal to keV energies, the produced long-lived Fe55 nuclei (t1/2=2.744+−0.009) yr) were analyzed at the Vienna Environmental Research Accelerator. A reproducibility of about 1% could be achieved for the detection of Fe55, yielding cross-section uncertainties of less than 3%. Thus, this method produces new and precise data that can serve as anchor points for time-of-flight experiments. We report significantly improved neutron capture cross sections at thermal energy (σth=2.30±0.07 b) as well as for a quasi-Maxwellian spectrum of kT=25 keV (σ=30.3±1.2 mb) and for En=481±53 keV (σ=6.01±0.23 mb). The new experimental cross sections have been used to deduce improved Maxwellian-averaged cross sections in the temperature regime of the common s-process scenarios. The astrophysical impact is discussed by using stellar models for low-mass asymptotic giant branch stars. arXiv The detection of long-lived radionuclides through ultra-sensitive single atom counting via accelerator mass spectrometry (AMS) offers opportunities for precise measurements of neutron capture cross sections, e.g. for nuclear astrophysics. The technique represents a truly complementary approach, completely independent of previous experimental methods. The potential of this technique is highlighted at the example of the $^{54}$Fe($n, \gamma$)$^{55}$Fe reaction. Following a series of irradiations with neutrons from cold and thermal to keV energies, the produced long-lived $^{55}$Fe nuclei ($t_{1/2}=2.744(9)$ yr) were analyzed at the Vienna Environmental Research Accelerator (VERA). A reproducibility of about 1% could be achieved for the detection of $^{55}$Fe, yielding cross section uncertainties of less than 3%. Thus, the new data can serve as anchor points to time-of-flight experiments. We report significantly improved neutron capture cross sections at thermal energy ($\sigma_{th}=2.30\pm0.07$ b) as well as for a quasi-Maxwellian spectrum of $kT=25$ keV ($\sigma=30.3\pm1.2$ mb) and for $E_n=481\pm53$ keV ($\sigma= 6.01\pm0.23$ mb). The new experimental cross sections have been used to deduce improved Maxwellian average cross sections in the temperature regime of the common $s$-process scenarios. The astrophysical impact is discussed using stellar models for low-mass AGB stars. arXiv http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv nonexclusive-distrib. 1.0 authors 2017 Publication LANL EDS arXiv astro-ph.SR SzGeCERN Astrophysics and Astronomy arXiv nucl-ex SzGeCERN Nuclear Physics - Experiment ARTICLE CERN AMS LANL EDS nucl-ex LANL EDS astro-ph.SR Belgya, Tamas Hungarian Acad. Sci., Budapest Nuclear Analysis and Radiography Department, Institute for Energy Security and Environmental Safety , Centre for Energy Research, Hungarian Academy of Sciences, Hungary Buczak, Kathrin Vienna U. VERA Laboratory, Faculty of Physics, University of Vienna , Austria Coquard, Laurent KIT, Karlsruhe Karlsruhe Institute of Technology (KIT), Campus North, Institute of Nuclear Physics , PO Box 3640, Karlsruhe, Germany Bichler, Max Vienna, Tech. U., Atominst. Atominstitut, Vienna University of Technology , Austria Dillmann, Iris KIT, Karlsruhe Karlsruhe Institute of Technology (KIT), Campus North, Institute of Nuclear Physics , PO Box 3640, Karlsruhe, Germany Golser, Robin Vienna U. VERA Laboratory, Faculty of Physics, University of Vienna , Austria Käppeler, Franz KIT, Karlsruhe Karlsruhe Institute of Technology (KIT), Campus North, Institute of Nuclear Physics , PO Box 3640, Karlsruhe, Germany Karakas, Amanda Australian Natl. U., Canberra Monash U. Monash Centre for Astrophysics, School of Physics and Astronomy, Monash University , VIC 3800, Australia Research School of Astronomy and Astrophysics, The Australian National University , Canberra, ACT 2611, Australia Kutschera, Walter Vienna U. VERA Laboratory, Faculty of Physics, University of Vienna , Austria Lederer, Claudia Vienna U. Edinburgh U. VERA Laboratory, Faculty of Physics, University of Vienna , Austria School of Physics and Astronomy, University of Edinburgh , United Kingdom Mengoni, Alberto CERN CERN , CH-1211 Geneva 23, Switzerland Pignatari, Marco Hull U. E.A. Milne Centre for Astrophysics, Dept. of Physics & Mathematics, University of Hull , United Kingdom Priller, Alfred Vienna U. VERA Laboratory, Faculty of Physics, University of Vienna , Austria Reifarth, Rene Goethe U., Frankfurt (main) Institute of Applied Physics, Goethe University Frankfurt , Frankfurt, Germany Steier, Peter Vienna U. VERA Laboratory, Faculty of Physics, University of Vienna , Austria Szentmiklosi, Laszlo Hungarian Acad. Sci., Budapest Nuclear Analysis and Radiography Department, Institute for Energy Security and Environmental Safety , Centre for Energy Research, Hungarian Academy of Sciences, Hungary 025808 2 Phys. Rev. C 96 2017 2236310 SzGeCERN 20170819041155.0 oai:arXiv.org:1611.08964 http://export.arxiv.org/oai2 2016-11-29 2016-12-02T09:19:49Z arXiv true arXiv Inspire 1507701 arXiv:1611.08964 eng Petit, V Magnetic massive stars as progenitors of "heavy" stellar-mass black holes 2016 27 Nov 2016 10 p Comments: 10 pages, 7 figures, 1 table. Accepted for publication in MNRAS The groundbreaking detection of gravitational waves produced by the inspiralling and coalescence of the black hole (BH) binary GW150914 confirms the existence of "heavy" stellar-mass BHs with masses >25 Msun. Initial modelling of the system by Abbott et al. (2016a) supposes that the formation of black holes with such large masses from the evolution of single massive stars is only feasible if the wind mass-loss rates of the progenitors were greatly reduced relative to the mass-loss rates of massive stars in the Galaxy, concluding that heavy BHs must form in low-metallicity (Z < 0.25-0.5 Zsun) environments. However, strong surface magnetic fields also provide a powerful mechanism for modifying mass loss and rotation of massive stars, independent of environmental metallicity (ud-Doula & Owocki 2002; ud-Doula et al. 2008). In this paper we explore the hypothesis that some heavy BHs, with masses >25 Msun such as those inferred to compose GW150914, could be the natural end-point of evolution of magnetic massive stars in a solar-metallicity environment. Using the MESA code, we developed a new grid of single, non-rotating, solar metallicity evolutionary models for initial ZAMS masses from 40-80 Msun that include, for the first time, the quenching of the mass loss due to a realistic dipolar surface magnetic field. The new models predict TAMS masses that are significantly greater than those from equivalent non-magnetic models, reducing the total mass lost by a strongly magnetized 80 Msun star during its main sequence evolution by 20 Msun. This corresponds approximately to the mass loss reduction expected from an environment with metallicity Z = 1/30 Zsun. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.SR LANL EDS Keszthelyi, Z MacInnis, R Cohen, D H Townsend, R H D Wade, G A Thomas, S L Owocki, S P Puls, J ud-Doula, J A http://arxiv.org/pdf/1611.08964.pdf Preprint n 201648 11 PREPRINT Hidden 2236243 SzGeCERN 20170819041152.0 oai:arXiv.org:1611.08378 http://export.arxiv.org/oai2 2016-11-28 2016-12-02T09:19:49Z arXiv true arXiv Inspire 1500163 arXiv:1611.08378 eng Hirv, A Alignment of galaxies relative to their local environment in SDSS-DR8 2016 25 Nov 2016 15 p Comments: 15 pages, 15 figures, accepted for publication in A&A We study the alignment of galaxies relative to their local environment in SDSS-DR8 and, using these data, we discuss evolution scenarios for different types of galaxies. We defined a vector field of the direction of anisotropy of the local environment of galaxies. We summed the unit direction vectors of all close neighbours of a given galaxy in a particular way to estimate this field. We found the alignment angles between the spin axes of disc galaxies, or the minor axes of elliptical galaxies, and the direction of anisotropy. The distributions of cosines of these angles are compared to the random distributions to analyse the alignment of galaxies. Sab galaxies show perpendicular alignment relative to the direction of anisotropy in a sparse environment, for single galaxies and galaxies of low luminosity. Most of the parallel alignment of Scd galaxies comes from dense regions, from 2...3 member groups and from galaxies with low luminosity. The perpendicular alignment of S0 galaxies does not depend strongly on environmental density nor luminosity; it is detected for single and 2...3 member group galaxies, and for main galaxies of 4...10 member groups. The perpendicular alignment of elliptical galaxies is clearly detected for single galaxies and for members of < 11 member groups; the alignment increases with environmental density and luminosity. We confirm the existence of fossil tidally induced alignment of Sab galaxies at low z. The alignment of Scd galaxies can be explained via the infall of matter to filaments. S0 galaxies may have encountered relatively massive mergers along the direction of anisotropy. Major mergers along this direction can explain the alignment of elliptical galaxies. Less massive, but repeated mergers are possibly responsible for the formation of elliptical galaxies in sparser areas and for less luminous elliptical galaxies. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS astro-ph.CO LANL EDS Pelt, J Saar, E Tago, E Tamm, A Tempel, E Einasto, M http://arxiv.org/pdf/1611.08378.pdf Preprint n 201648 11 PREPRINT Hidden 2236239 SzGeCERN 20171016220434.0 oai:arXiv.org:1611.08357 http://export.arxiv.org/oai2 2016-11-28 2016-12-02T09:19:49Z arXiv true arXiv Inspire 1500162 arXiv:1611.08357 eng Li, Xu-Fang Liu, Cong-Zhan Zhang, Yi-Fei Li, Zheng-Wei Lu, Xue-Feng Zhao, Jian-Ling Zou, Chang-Lin Xu, Yu-Peng Lu, Fang-Jun http://arxiv.org/pdf/1611.08357.pdf Preprint n 201648 A study of raining influence on the environmental radiation background spectra with HXMT/HE 25 Nov 2016 6 p Full functional and performance tests were performed many times before the Hard X-ray Modulation Telescope (HXMT) launch. During one of the tests, the count rate curves of the 18 High Energy Detectors (HED) have been found increased consistently within an interval of time. A further study on the correlation between the count rate and rainfall was carried out,and the increased net spectrum was also analyzed. The analysis results indicate that the short-lived 222Rn decay products (214Pb and 214Bi) in rainwater were responsible for the transient changes of the background radiation spectra in HEDs. The results show that the HXMT/HEDs have a good detection sensitivity on X/gamma rays, and the detector calibration results are effective. Comments: 6 pages,6 figures (2subplot in fig.2), submitted to Chinese Physics C http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Detectors and Experimental Techniques arXiv Nuclear Physics - Experiment arXiv Astrophysics and Astronomy arXiv physics.ins-det LANL EDS astro-ph.IM LANL EDS nucl-ex LANL EDS 2016 PREPRINT 11 PREPRINT Hidden 2236194 SzGeCERN 20170819033903.0 oai:arXiv.org:1611.07976 http://export.arxiv.org/oai2 2016-11-28 2016-12-02T09:19:49Z arXiv true arXiv Inspire 1500145 arXiv:1611.07976 eng Strazzullo, V The red sequence at birth in the galaxy cluster ClJ1449+0856 at z=2 2016 23 Nov 2016 5 p Comments: 5 pages, 5 figures. ApJ Letters, in press We use HST/WFC3 imaging to study the red population in the IR-selected, X-ray detected, low-mass cluster Cl J1449+0856 at z=2, one of the few bona-fide established clusters discovered at this redshift, and likely a typical progenitor of an average massive cluster today. This study explores the presence and significance of an early red sequence in the core of this structure, investigating the nature of red sequence galaxies, highlighting environmental effects on cluster galaxy populations at high redshift, and at the same time underlining similarities and differences with other distant dense environments. Our results suggest that the red population in the core of Cl J1449+0856 is made of a mixture of quiescent and dusty star-forming galaxies, with a seedling of the future red sequence already growing in the very central cluster region, and already characterising the inner cluster core with respect to lower density environments. On the other hand, the color-magnitude diagram of this cluster is definitely different from that of lower-redshift (z<1) clusters, as well as of some rare particularly evolved massive clusters at similar redshift, and it is suggestive of a transition phase between active star formation and passive evolution occurring in the proto-cluster and established lower-redshift cluster regimes. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS astro-ph.CO LANL EDS Daddi, E Gobat, R Valentino, F Pannella, M Dickinson, M Renzini, A Brammer, G Onodera, M Finoguenov, A Cimatti, A Carollo, C M Arimoto, N http://arxiv.org/pdf/1611.07976.pdf Preprint n 201648 11 PREPRINT Hidden 2236143 SzGeCERN 20170819033850.0 oai:arXiv.org:1611.07524 http://export.arxiv.org/oai2 2016-11-24 2016-12-02T09:19:49Z arXiv true arXiv arXiv:1611.07524 eng Fossati, M Galaxy environment in the 3D-HST fields. Witnessing the onset of satellite quenching at z ~ 1-2 2016 22 Nov 2016 35 p Comments: 35 pages, 29 figures, 2 tables. Accepted for publication in ApJ. The catalogue of environmental measures is available at: http://dx.doi.org/10.5281/zenodo.168056 We make publicly available a catalog of calibrated environmental measures for galaxies in the five 3D-HST/CANDELS deep fields. Leveraging the spectroscopic and grism redshifts from the 3D-HST survey, multi wavelength photometry from CANDELS, and wider field public data for edge corrections, we derive densities in fixed apertures to characterize the environment of galaxies brighter than $JH_{140} < 24$ mag in the redshift range $0.5<z<3.0$. By linking observed galaxies to a mock sample, selected to reproduce the 3D-HST sample selection and redshift accuracy, each 3D-HST galaxy is assigned a probability density function of the host halo mass, and a probability that is a central or a satellite galaxy. The same procedure is applied to a $z=0$ sample selected from SDSS. We compute the fraction of passive central and satellite galaxies as a function of stellar and halo mass, and redshift, and then derive the fraction of galaxies that were quenched by environment specific processes. Using the mock sample, we estimate that the timescale for satellite quenching is $t_{\rm quench} \sim 2-5$ Gyr; longer at lower stellar mass or lower redshift, but remarkably independent of halo mass. This indicates that, in the range of environments commonly found within the 3D-HST sample, satellites are quenched by exhaustion of their gas reservoir in absence of cosmological accretion. We find that the quenching times can be separated into a delay phase during which satellite galaxies behave similarly to centrals at fixed stellar mass, and a phase where the star formation rate drops rapidly ($\sim 0.4-0.6$ Gyr), as shown previously at $z=0$. We conclude that this scenario requires satellite galaxies to retain a large reservoir of multi-phase gas upon accretion, even at high redshift, and that this gas sustains star formation for the long quenching times observed. http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv LANL EDS Astrophysics and Astronomy arXiv PREPRINT astro-ph.GA LANL EDS Wilman, D J Mendel, J T Saglia, R P Galametz, A Beifiori, A Bender, R Chan, J C C Fabricius, M Bandara, K Brammer, G B Davies, R Schreiber, N M Förster Genzel, R Hartley, W Kulkarni, S K Lang, P Momcheva, I G Nelson, E J Skelton, R Tacconi, L J Tadaki, K Übler, H van Dokkum, P G Wisnioski, E Whitaker, K E Wuyts, E Wuyts, S http://arxiv.org/pdf/1611.07524.pdf Preprint n 201648 11 PREPRINT Hidden 2241836 SzGeCERN 20200610213320.0 9781138000919 print version 9781317627913 electronic version 224.93 (NL),187.44 (3U),149.95 (1U) electronic version oai:cds.cern.ch:2241836 cerncds:BOOK EBL 4771749 eng TK7872.T74 621.3192 Kalaga, Sriram Design of electrical transmission lines structures and foundations Boca Raton, FL CRC Press 2016 468 p Cover -- Half Title -- Dedication -- Title Page -- Copyright Page -- Table of contents -- Foreword -- Foreword -- Preface -- Acknowledgments -- About the authors -- Special thanks -- Notice to the reader -- List of abbreviations -- List of figures -- List of tables -- Conversion factors -- 1 Introduction -- 1.1 History of electrical transmission -- 1.2 Transmission structures -- 1.3 Current state of the art -- 1.4 Design processes -- 1.5 Scope of this book -- 2 General design criteria -- 2.1 Climate -- 2.1.1 Extreme wind -- 2.1.2 Combined ice and wind district loading 2.1.3 Extreme ice with concurrent wind -- 2.1.4 High intensity winds -- 2.1.5 Pollution -- 2.1.6 Temperature -- 2.2 Electrical design -- 2.2.1 Regulatory codes -- 2.2.2 Right of way -- 2.2.3 Clearances -- 2.2.3.1 Insulator swing -- 2.2.4 Shielding -- 2.2.5 Lightning performance and grounding -- 2.2.6 Insulation requirements -- 2.2.7 Conductor operating temperature -- 2.2.8 Corona and field effects -- 2.2.9 EMF and noise -- 2.2.10 Galloping -- 2.2.11 Ampacity -- 2.3 Structural design of transmission lines -- 2.3.1 Structure spotting -- 2.3.2 Ruling spans -- 2.3.3 Sags and tensions 2.3.3.1 Galloping -- 2.3.3.2 Tension limits -- 2.3.4 Insulators -- 2.3.5 Hardware -- 2.3.6 Guy wires and anchors -- 2.4 Structural analysis -- 2.4.1 PLS-Pole™ -- 2.4.2 Tower™ -- 2.4.3 PLS-CADD™ -- 2.4.4 Load and strength criteria -- 2.4.4.1 Structural design criteria -- 2.4.4.2 Weather cases -- 2.4.4.3 Load cases -- 2.5 Foundation design criteria -- 2.6 Constructability -- 2.6.1 Construction considerations -- 2.6.2 Environmental constraints -- 2.6.3 Regulatory issues -- 2.6.4 Public acceptance -- 2.7 Codes and standards for line design -- Problems -- 3 Structural analysis and design 3.1 Structure materials -- 3.1.1 Wood -- 3.1.1.1 Laminated wood -- 3.1.2 Steel -- 3.1.2.1 Wood equivalent steel poles -- 3.1.3 Concrete -- 3.1.4 Lattice towers -- 3.1.5 Composite -- 3.2 Structure families -- 3.2.1 Structure models -- 3.2.1.1 Insulator attachment to structure -- 3.2.2 Structure types -- 3.2.2.1 H-Frames -- 3.2.2.2 Guyed structures -- 3.3 Structure loads -- 3.3.1 Load cases and parameters -- 3.3.2 Load and strength factors -- 3.3.3 Point loads -- 3.3.4 Loading schedules -- 3.3.5 Deflection limits -- 3.3.6 P-Delta analysis -- 3.4 Structural analysis -- 3.4.1 Single tangent poles 3.4.2 H-Frames -- 3.4.3 Angle structures -- 3.4.4 Deadends -- 3.4.4.1 Wood pole buckling -- 3.4.5 Lattice towers -- 3.4.5.1 End restraints -- 3.4.5.2 Crossing diagonals -- 3.4.6 Substation structures -- 3.4.6.1 Seismic considerations -- 3.4.6.2 Deflection considerations -- 3.4.7 Special structures -- 3.4.7.1 Anti-cascade structures -- 3.4.7.2 Long span systems -- 3.4.7.3 Air-break switches -- 3.4.7.4 Line crossings -- 3.5 Structure design -- 3.5.1 Strength checks -- 3.5.1.1 Wood poles -- 3.5.1.2 Steel poles -- 3.5.1.3 Lattice towers -- 3.5.1.4 Concrete poles -- 3.5.1.5 Composite poles 3.5.2 Assemblies and parts Yenumula, Prasad https://cds.cern.ch/auth.py?r=EBLIB_P_4771749 ebook ebook EBL201701 Engineering SzGeCERN BOOK n 201702 201701 21 PUBLIC BOOK DELETED 2241805 SzGeCERN 20171214170438.0 9783319492711 99 (NL),99 (1U) electronic version EBL 4768381 eng QC71.82-73.8 621.042 Mithulananthan, Nadarajah Intelligent network integration of distributed renewable generation Cham Springer International Publishing 2016 145 p Green energy and technology Preface -- Contents -- About the Authors -- Acronyms and Symbols -- 1 Introduction -- 1.1 DG History -- 1.2 DG Definitions -- 1.3 DG Technologies -- 1.3.1 Solar Photovoltaic -- 1.3.2 Wind Turbines -- 1.3.3 Biomass Gas Turbines -- 1.3.4 Battery Energy Storage -- 1.4 Renewable DG Integration -- 1.4.1 Technical Benefits -- 1.4.1.1 Energy Losses -- 1.4.1.2 Voltage Stability -- 1.4.1.3 Voltage Profiles -- 1.4.1.4 Network Upgrade Deferral -- 1.4.2 Environmental Benefits -- 1.4.3 Economic Benefits -- 1.5 Renewable DG Integration with BES -- 1.6 Grid Codes for DG Integration 1.7 Outline of the Book -- References -- 2 Distribution System Modelling -- 2.1 Introduction -- 2.2 Load Modelling -- 2.3 Generation Modelling -- 2.3.1 Biomass -- 2.3.2 Solar Irradiance -- 2.3.3 Wind Speed -- 2.3.4 Battery Energy Storage -- 2.3.5 DG Penetration Level -- 2.3.6 Generation Criteria -- 2.4 Test System Modelling -- 2.4.1 33-Bus Test System -- 2.4.2 69-Bus One Feeder Test System -- 2.4.3 69-Bus Four Feeder Test System -- 2.5 Conclusions -- References -- 3 Biomass DG Integration -- 3.1 Introduction -- 3.2 Load and Biomass DG Modelling -- 3.3 Power and Energy Losses 3.4 Sizing at Various Locations [6] -- 3.5 Estimating Power Factors at Various Locations -- 3.6 Computational Procedure [8] -- 3.7 Example 1: DG Impacts on Power Losses [9, 10] -- 3.8 Example 2: Optimal DG Placement [8] -- 3.8.1 DG Location and Size Selection -- 3.8.2 Sizing DG with Respect to Hourly Energy Loss -- 3.8.3 DG Power Factor Operation -- 3.9 Conclusions -- References -- 4 PV Integration -- 4.1 Introduction -- 4.2 Load and Solar PV Modelling -- 4.2.1 Load Modelling -- 4.2.2 Solar PV Modelling -- 4.2.3 Combined Generation-Load Model -- 4.3 Impact Indices -- 4.3.1 Active Power Loss Index 4.3.2 Reactive Power Loss Index -- 4.3.3 Voltage Deviation Index -- 4.4 Multiobjective Index -- 4.5 Sizing PV -- 4.6 Computational Procedure -- 4.7 Example -- 4.7.1 Test Systems -- 4.7.2 Load Modelling -- 4.7.3 Solar PV Modelling -- 4.7.4 Location Selection -- 4.7.5 Sizing with Respect to Indices -- 4.7.6 PV Penetration and Energy Losses -- 4.8 Conclusions -- References -- 5 PV and BES Integration -- 5.1 Introduction -- 5.2 Load and Generation Modelling -- 5.2.1 Load Modelling -- 5.2.2 PV Modelling -- 5.2.3 BES Modelling -- 5.3 Conceptual Design -- 5.4 Impact Indices 5.4.1 Active Power Loss Index -- 5.4.2 Reactive Power Loss Index -- 5.5 Multiobjective Index -- 5.6 Energy Loss and Voltage Stability -- 5.6.1 Energy Loss -- 5.6.2 Voltage Stability -- 5.7 Proposed Analytical Expressions -- 5.8 Self-Correction Algorithm -- 5.8.1 Sizing PV-BES -- 5.8.2 Sizing PV -- 5.8.3 Sizing BES -- 5.9 Example -- 5.9.1 Test System -- 5.9.2 Sizing PV and BES Units -- 5.9.3 Energy Loss and Voltage Stability -- 5.10 Conclusions -- Acknowlegments -- References -- 6 PV and EV Integration -- 6.1 Introduction -- 6.2 Network Modeling -- 6.2.1 Commercial System Modeling 6.2.2 Load Modeling Hung, Duong Quoc Lee, Kwang Y 9783319492704 print version oai:cds.cern.ch:2241805 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4768381 ebook ebook EBL201701 Engineering SzGeCERN BOOK n 201702 201701 21 PUBLIC BOOK DELETED 2241804 SzGeCERN 20170906005810.0 9783319450353 54.99 (NL),54.99 (1U) electronic version EBL 4768063 eng QC71.82-73.8 621.042 Erşahin, Sabit Carbon management, technologies, and trends in Mediterranean ecosystems Cham Springer International Publishing 2016 163 p The anthropocene politik—economics—society—science 15 Mediterranean Soil Ecosystems: Publication of the Soil Science Society of Turkey -- International Advisory Board -- Preface -- Contents -- 1 Soil Carbon Impacts on Functionality and Environmental Sustainability -- Abstract -- 1.1 Introduction -- 1.2 Soil Functionality -- 1.3 Indicators of Soil Functionality -- 1.4 Management of Soil Functionality -- 1.5 Soil Functionality and Environmental Sustainability -- 1.6 Conclusions -- References -- 2 New World Atlas of Desertification and Issues of Carbon Sequestration, Organic Carbon Stocks, Nutrient Depletion and Implications for Food Security Abstract -- 2.1 Overview of the World Atlas of Desertification -- 2.2 Importance of Soils for Carbon Sequestration -- 2.3 Soil Organic Matter and Soil Quality -- 2.4 Land-Use/Cover Change and the Impact on SOC Stocks -- 2.5 Global SOC Estimates -- 2.6 Soil Nutrient Mining -- 2.7 Sustainable Land Management Is the Answer for Carbon Sequestration and Food Security -- 2.8 Conclusion -- References -- 3 Terrestrial Ecosystem Carbon Dynamics as Influenced by Land Use and Climate -- Abstract -- 3.1 Introduction -- 3.2 Factors Affecting the Global Carbon Cycle -- 3.3 Land Use and Management 3.4 Soil as a Carbon Sink or Source -- 3.4.1 Agricultural Ecosystems -- 3.4.2 Urban Ecosystems -- 3.4.3 Grasslands -- 3.5 Climate Change -- 3.6 Mitigating the Atmospheric CO2 Increase -- 3.7 Conclusions -- References -- 4 EU Emissions Trading Scheme Application in Bulgaria, Greece and Romania from 2008 to 2012 -- Abstract -- 4.1 Introduction -- 4.2 ETS Sectors' Allowances and Emissions During Phase II (2008-2012) -- 4.3 Country Surpluses and Installation Deficits -- 4.4 Use of International Credits -- 4.5 'Market Activity' at the Installation Level -- 4.6 Conclusions -- Acknowledgments References -- 5 Indigenous Egyptian Nubians and Climate Change Mitigation -- Abstract -- 5.1 Introduction -- 5.2 Indigenous Nubians in Egypt -- 5.3 Environmental Setting -- 5.4 Nubian Resettlement -- 5.5 Climate Change Impacts on Upper Egypt -- 5.6 Climate Change and Indigenous People -- 5.7 Forests and Indigenous Peoples -- 5.8 Mitigation Actions in the Egyptian Indigenous Communities -- 5.9 Conclusion -- References -- 6 Carbon Trading Via Exports: Comparison of the Emissions Embodied in Exports in China and Turkey -- Abstract -- 6.1 Preface -- 6.2 History of Studies -- 6.3 Our Econometric Study 6.4 Emissions Embodied in Exports in China and Turkey-2000 and 2009 -- 6.5 Conclusions -- References -- 7 Energy-Economy-Ecology-Engineering (4E) Integrated Approach for GHG Inventories -- Abstract -- 7.1 Introduction -- 7.2 Review of Relevant MARKAL Model Studies -- 7.3 Methodology -- 7.4 Results -- 7.5 Conclusion -- References -- 8 Cost-Benefit Assessment of Implementing LULUCF Accounting Rules in Turkey -- Abstract -- 8.1 Introduction -- 8.2 Position of Turkey in the UNFCCC -- 8.3 Forest Sector in the UNFCCC -- 8.3.1 Key Features of LULUCF and REDD+ -- 8.3.2 Which Mechanism for Turkey? 8.3.3 Mitigation Options in the Forest Sector Kapur, Selim Erhan, Akça Namlı, Ayten Erdoğan, Hakkı Emrah 9783319450346 print version oai:cds.cern.ch:2241804 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4768063 ebook ebook EBL201701 Engineering SzGeCERN BOOK n 201702 201701 21 PUBLIC BOOK DELETED 2241790 SzGeCERN 20170210223813.0 9781471866159 39.98 (NL),39.98 (3U),31.98 (1U) electronic version EBL 4765293 eng 004 Rouse, George OCR computer science for GCSE student book London Hodder Education Group 2016 226 p Cover -- Book title -- Contents -- Summary of book features -- Introduction -- 1 The importance of computational thinking -- 2 Systems architecture -- 3 Primary storage -- 4 Secondary storage -- 5 Networks - introduction -- 6 Networks - topologies and protocols -- 7 Networks - layering -- 8 Networks - connections -- 9 Networks - security -- 10 The internet -- 11 Software - an overview -- 12 Systems software -- 13 Computational thinking and algorithms -- 14 Programming techniques -- 15 Writing reliable programs -- 16 Data representation, conversion and arithmetic -- 17 Logic 18 Translators and programming tools -- 19 Legal, ethical, cultural and environmental issues -- 20 Non-Examined Assessment - hints and approaches -- Glossary -- A -- B -- B -- D -- E -- F -- H -- I -- K -- L -- M -- N -- O -- P -- R -- S -- T -- U -- V -- W -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W Build student confidence and ensure successful progress through GCSE Computer Science. Our expert authors provide insight and guidance to meet the demands of the new OCR specification, with challenging tasks and activities to test the computational skills and knowledge required for success in their exams, and advice for successful completion of the non-examined assessment. - Builds students' knowledge and confidence through detailed topic coverage and explanation of key terms- Develops computational thinking skills with practice exercises and problem-solving tasks- Ens O'Byrne, Sean 9781471866142 print version oai:cds.cern.ch:2241790 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4765293 ebook ebook EBL201701 Computing and Computers SzGeCERN BOOK n 201702 201701 21 PUBLIC BOOK DELETED 2241769 SzGeCERN 20170906005810.0 9783319472621 129 (NL),129 (1U) electronic version EBL 4756405 eng QC182.E547 2017 533.14 Budzianowski, Wojciech M Energy efficient solvents for CO2 capture by gas-liquid absorption compounds, blends and advanced solvent systems Cham Springer 2016 282 p Green energy and technology Preface -- Contents -- 1 Introduction to Carbon Dioxide Capture by Gas-Liquid Absorption in Nature, Industry, and Perspectives for the Energy Sector and Beyond -- Abstract -- 1 Introduction -- 2 CO2 Capture by Gas-Liquid Absorption in Nature -- 3 CO2 Capture by Gas-Liquid Absorption in Industry -- 4 Perspectives for the Energy Sector and Beyond -- 5 Technological Developments in Gas-Liquid Absorption -- 6 Conclusions and Outlook -- Acknowledgments -- References -- 2 Assessment of Thermodynamic Efficiency of Carbon Dioxide Separation in Capture Plants by Using Gas-Liquid Absorption -- Abstract 1 Introduction -- 2 Minimum Thermodynamic Work of CO2 Separation -- 3 Actual Work Requirement of CO2 Separation in Realistic Carbon Capture Plants -- 3.1 Evidence from Realistic Carbon Capture Plants -- 3.2 Calculations for a Model Carbon Capture Plant -- 3.2.1 Blowing Work -- 3.2.2 Pumping Work -- 3.2.3 Reboiler Equivalent Work -- 3.2.4 Miscellaneous Contributions to Total Work -- 3.2.5 Total Work Requirement of the Model CO2 Capture Plant -- 4 Thermodynamic Efficiency of CO2 Separation -- 5 Examples of Additional Measures Capable of Reducing Work Requirement -- 6 Conclusions -- Acknowledgments References -- 3 Process Implications of CO2 Capture Solvent Selection -- Abstract -- 1 Introduction -- 2 The Design and Costing of Post-Combustion Capture Plants -- 2.1 Design Process Overview -- 2.2 Process Modelling for Different Solvent Choices -- 2.3 Overview of Process Costing Relating to Solvent Choice -- 3 Solvent Properties and Their Impact on Design -- 3.1 Reaction Kinetics -- 3.2 Phase Equilibria -- 3.3 Solvent Viscosity and Diffusivity -- 3.4 Surface Tension -- 3.5 Chemical Stability and Solvent Degradation -- 3.6 Corrosivity -- 3.7 Material Compatibility -- 3.8 Other Properties 4 Process Options and Design Relating to Solvent Choice -- 4.1 Gas-Liquid Contactors -- 4.2 Packed Bed Contactors -- 4.3 Absorption Column -- 4.4 Desorption Column -- 4.5 Heat Exchangers -- 4.6 Pumps -- 4.7 Flue Gas Blower -- 5 Alternate Contactor Designs -- 5.1 Spray Columns -- 5.2 Tray Columns -- 5.3 Rotating Contactors -- 6 Operation and Safety Considerations -- 6.1 Environmental Considerations -- 6.2 Phase Separation-Planned and Unplanned -- 6.3 Pretreatment Requirements -- 6.4 Foaming -- 6.5 On-Line Solvent Property Determination -- 6.6 Analytical Requirements -- 7 Conclusions -- References 4 Useful Mechanisms, Energy Efficiency Benefits, and Challenges of Emerging Innovative Advanced Solvent Based Capture Processes -- Abstract -- 1 Introduction -- 2 Precipitating Solvents -- 2.1 Useful Mechanisms -- 2.2 Energy Efficiency Benefits -- 2.3 Practical Examples -- 2.4 Challenges -- 3 Two Immiscible Liquid Phases -- 3.1 Useful Mechanisms -- 3.2 Energy Efficiency Benefits -- 3.3 Practical Examples -- 3.4 Challenges -- 4 Catalysed Solvents -- 4.1 Useful Mechanisms -- 4.2 Energy Efficiency Benefits -- 4.3 Practical Examples -- 4.4 Challenges -- 5 Microencapsulated Solvents 5.1 Useful Mechanisms 9783319472614 print version oai:cds.cern.ch:2241769 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4756405 ebook ebook EBL201701 Other Fields of Physics SzGeCERN BOOK n 201702 201701 21 PUBLIC BOOK DELETED 2241715 SzGeCERN 20210421212203.0 9781498743808 print version 9781498743822 electronic version 194.93 (NL),162.44 (3U),129.95 (1U) electronic version oai:cds.cern.ch:2241715 cerncds:BOOK EBL 4748374 eng TK7871.85.S465 2017 621.3815/2 Weide-Zaage, Kirsten Semiconductor devices in harsh conditions Boca Raton, FL CRC Press 2016 257 p ebook Devices, circuits, and systems 63 Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- Editors -- Contributors -- Section I: Radiation -- 1. Commercial Off-the-Shelf Components in Space Applications -- 2. Soft Errors in Digital Circuits Subjected to Natural Radiation: Characterisation, Modelling and Simulation Issues -- 3. Simulation of Single-Event Effects on Fully Depleted Silicon-on-Insulator (FDSOI) CMOS -- Section II: Sensors and Operating Conditions -- 4. Electronic Sensors for the Detection of Ovarian Cancer -- 5. Sensors and Sensor Systems for Harsh Environment Applications 6. III-Nitride Electronic Devices for Harsh Environments -- Section III: Packaging and System Design -- 7. Packaging for Systems in Harsh Environments -- 8. Corrosion Resistance of Lead-Free Solders under Environmental Stress -- 9. From Deep Submicron Degradation Effects to Harsh Operating Environments: A Self-Healing Calibration Methodology for Performance and Reliability Enhancement -- 10. Role of Diffusional Interfacial Sliding during Temperature Cycling and Electromigration-Induced Motion of Copper Through Silicon Via -- Index EBL201701 Engineering SzGeCERN BOOK Chrzanowska-Jeske, Malgorzata https://cds.cern.ch/auth.py?r=EBLIB_P_4748374 ebook n 201702 201701 21 PUBLIC https://catalogue.library.cern/legacy/2241715 BOOK MIGRATED 2241695 SzGeCERN 20170811001655.0 9781482254082 269.93 (NL),224.94 (3U),179.95 (1U) electronic version EBL 4745591 eng R857.M3.C54 2017 610.28/4 Esteves, Sandro C Clean room technology in art clinics a practical guide Boca Raton, FL CRC Press 2016 461 p Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- About the editors -- Contributors -- Section I: The basics -- Chapter 1 What is a clean room? -- Chapter 2 Clean room technology: An overview of clean room classification standards -- Chapter 3 The critical role of air quality: Novel air purification technologies to achieve and maintain the optimal in vitro culture environment for IVF -- Section II: Design and construction Chapter 4 Building an environmentally clean and highly productive IVF laboratory suite -- Chapter 5 What is HEPA? How to achieve high efficiency particulate air filtration -- Chapter 6 Volatile organic compounds: Mechanisms of filtration -- Chapter 7 Clean room design principles: Focus on particulates and microbials -- Chapter 8 Modular clean rooms -- Chapter 9 Gases for embryo culture and volatile organic compounds in incubators Chapter 10 Air disinfection for ART clinics using ultraviolet germicidal irradiation -- Chapter 11 Photocatalytic degradation of volatile organic compounds -- Section III: Operation and monitoring -- Chapter 12 Clean room technology-General guidelines -- Chapter 13 Just after construction and before the first IVF batch: Things to ponder -- Chapter 14 Personnel practices in an IVF clean room facility -- Chapter 15 Maintaining a clean in vitro fertilization laboratory Chapter 16 Clean room certification in assisted reproductive technology clinics -- Chapter 17 Testing and monitoring: Volatile organic compounds and microbials -- Section IV: Quality management in clean room assisted reproductive units -- Chapter 18 Regulatory requirements for air quality control in reproductive laboratories -- Chapter 19 Risk management in clean room assisted reproductive units -- Chapter 20 Troubleshooting aspects in clean room assisted reproductive units Chapter 21 Role of quality manager in clean room assisted reproductive units and policies for efficient running -- Section V: Clinical outcome and new developments -- Chapter 22 Summary evidence for the effect of laboratory air quality on pregnancy outcome in in vitro fertilization -- Chapter 23 Clean room technology for low resource IVF units -- Chapter 24 Sealed culture systems with time-lapse video monitoring -- Section VI: International experience: Case studies Chapter 25 Clean room technology and IVF outcomes: United States Varghese, Alex C Worrilow, Kathryn C 9781482254075 print version oai:cds.cern.ch:2241695 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4745591 ebook ebook EBL201701 Health Physics and Radiation Effects SzGeCERN BOOK n 201702 201701 21 PUBLIC BOOK DELETED 2241692 SzGeCERN 20170811001655.0 9783319443270 129 (NL),129 (1U) electronic version EBL 4745437 eng S592.147.M356 2017 519.50285513300003 Malone, Brendan P Using R for digital soil mapping Cham Springer 2016 271 p Progress in soil science Foreword -- Preface -- Endorsements -- Acknowledgements -- Contents -- 1 Digital Soil Mapping -- 1.1 The Fundamentals of Digital Soil Mapping -- 1.2 What Is Going to Be Covered in this Book? -- References -- 2 R Literacy for Digital Soil Mapping -- 2.1 Objective -- 2.2 Introduction to R -- 2.2.1 R Overview and History -- 2.2.2 Finding and Installing R -- 2.2.3 Running R: GUI and Scripts -- 2.2.4 RStudio -- 2.2.5 R Basics: Commands, Expressions, Assignments, Operators, Objects -- 2.2.6 R Data Types -- 2.2.7 R Data Structures -- 2.2.8 Missing, Indefinite, and Infinite Values 2.2.9 Functions, Arguments, and Packages -- 2.2.10 Getting Help -- 2.2.11 Exercises -- 2.3 Vectors, Matrices, and Arrays -- 2.3.1 Creating and Working with Vectors -- 2.3.2 Vector Arithmetic, Some Common Functions, and Vectorised Operations -- 2.3.3 Matrices and Arrays -- 2.3.4 Exercises -- 2.4 Data Frames, Data Import, and Data Export -- 2.4.1 Reading Data from Files -- 2.4.2 Creating Data Frames Manually -- 2.4.3 Working with Data Frames -- 2.4.4 Writing Data to Files -- 2.4.5 Exercises -- 2.5 Graphics: The Basics -- 2.5.1 Introduction to the Plot Function -- 2.5.2 Exercises 2.6 Manipulating Data -- 2.6.1 Modes, Classes, Attributes, Length, and Coercion -- 2.6.2 Indexing, Sub-setting, Sorting, and Locating Data -- 2.6.3 Factors -- 2.6.4 Combining Data -- 2.6.5 Exercises -- 2.7 Exploratory Data Analysis -- 2.7.1 Summary Statistics -- 2.7.2 Histograms and Box Plots -- 2.7.3 Normal Quantile and Cumulative Probability Plots -- 2.7.4 Exercises -- 2.8 Linear Models: The Basics -- 2.8.1 The lm Function, Model Formulas, and Statistical Output -- 2.8.2 Linear Regression -- 2.8.3 Exercises -- 2.9 Advanced Work: Developing Algorithms with R -- Reference 3 Getting Spatial in R -- 3.1 Basic GIS Operations Using R -- 3.1.1 Points -- 3.1.2 Rasters -- 3.2 Advanced Work: Creating Interactive Maps in R -- 3.3 Some R Packages That Are Useful for Digital Soil Mapping -- Reference -- 4 Preparatory and Exploratory Data Analysis for Digital Soil Mapping -- 4.1 Soil Depth Functions -- 4.1.1 Fit Mass Preserving Splines with R -- 4.2 Intersecting Soil Point Observations with Environmental Covariates -- 4.2.1 Using Rasters from File -- 4.3 Some Exploratory Data Analysis -- References -- 5 Continuous Soil Attribute Modeling and Mapping -- 5.1 Model Validation 5.1.1 Model Goodness of Fit -- 5.1.2 Model Validation -- 5.2 Multiple Linear Regression -- 5.2.1 Applying the Model Spatially -- 5.2.1.1 Covariate Table -- 5.2.1.2 Raster Predictions -- 5.2.1.3 Directly to Rasters Using Parallel Processing -- 5.3 Decision Trees -- 5.4 Cubist Models -- 5.5 Random Forests -- 5.6 Advanced Work: Model Fitting with Caret Package -- 5.7 Regression Kriging -- 5.7.1 Universal Kriging -- 5.7.2 Regression Kriging with Cubist Models -- References -- 6 Categorical Soil Attribute Modeling and Mapping -- 6.1 Model Validation of Categorical Prediction Models 6.2 Multinomial Logistic Regression Minasny, Budiman McBratney, Alex B 9783319443256 print version oai:cds.cern.ch:2241692 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4745437 ebook ebook EBL201701 Mathematical Physics and Mathematics SzGeCERN BOOK n 201702 201701 21 PUBLIC BOOK DELETED 2241691 SzGeCERN 20210421212205.0 9781780648699 electronic version 140 (NL),210 (UA),175 (3U),140 (1U) electronic version oai:cds.cern.ch:2241691 cerncds:BOOK EBL 4745381 eng QA76.9.B45.K744 2016 5.7093999999999996 Kshetri, Nir Big data's big potential in developing economies impact on agriculture, health and environmental security Oxford CABI 2016 236 p ebook Half Title -- Title -- Copyright -- Contents -- Abbreviations -- About the author -- Preface and Acknowledgements -- 1 Big Data in Developing Countries: Current Status, Opportunities and Challenges -- 1.1 Introduction -- 1.2 Definitions and Explanations of Key Terms -- 1.2.1 Algorithm -- 1.2.2 Big Data -- 1.2.3 Business model -- 1.2.4 Cloud computing -- 1.2.5 Developing economies -- 1.2.6 Drip irrigation -- 1.2.7 Environmental monitoring -- 1.2.8 Institutionalization -- 1.2.9 Least developed countries (LDCs) -- 1.2.10 The Internet of Things -- 1.2.11 Machine-to-machine connections 1.2.12 Precision agriculture -- 1.2.13 Radio-frequency identification -- 1.2.14 Sensor -- 1.3 Characteristics of Big Data -- 1.3.1 Volume -- 1.3.2 Velocity -- 1.3.3 Variety -- 1.3.4 Variability -- 1.3.5 Complexity -- 1.4 Key Areas of Big Data Deployment in Developing Countries -- 1.4.1 E-commerce -- 1.4.2 Oil and gas -- 1.4.3 Banking,finance and insurance -- 1.4.4 Improving disaster mitigation and preparedness -- 1.4.5 Enhancing transparency and reducing corruption -- 1.5 The Relationship between Big Data, Mobility, the Internet of Things and Cloud Computing in the Context of Developing Countries 1.6 Determinants of the Development of the Big Data Industry and Market -- 1.6.1 Social and political dimensions -- 1.6.2 Economic dimension -- 1.7 Some Forces to Overcome the Adverse Economic, Political and Cultural Circumstances -- 1.7.1 Multinationals launching Big Data applications in developing countries -- 1.7.2 The roles of international development agencies -- 1.8 Agriculture, Health and Environment: Intricate Relationship -- 1.9 Discussion and Concluding Comments -- 2 Big Data Ecosystem in Developing Countries -- 2.1 Introduction -- 2.2 Context Dependence in Big Data Models 2.3 Barriers, Challenges and Obstacles in Using Big Data -- 2.3.1 Low degree of digitization -- 2.3.2 Costs associated with participating in the digital economy -- 2.3.3 Data usability -- 2.3.4 Poor data quality -- 2.3.5 Low degree of value chain integration and disconnection between data users and producers -- 2.3.6 Interoperability and standardization issues -- 2.3.7 Big Data skills deficit -- 2.3.8 Values and cultures -- 2.4 Some Encouraging and Favourable Signs -- 2.5 Big Data-Related Entrepreneurship and Some Notable Big Data Companies Operating in the Developing World -- 2.5.1 Alibaba 2.5.2 Mediatrac -- 2.5.3 Nedbank -- 2.6 The Internet of Things as a Key Component of Big Data -- 2.6.1 Health care -- 2.6.2 Environmental security and resource conservation -- 2.6.3 Agriculture -- 2.7 Creating a Virtuous Circle of Effective Big Data Deployment -- 2.7.1 Existing actors in the Big Data ecosystem -- 2.7.2 Entry of new actors in the Big Data ecosystem -- 2.8 Discussion and Concluding Comments -- 3 Big Data in Environmental Protection and Resources Conservation -- 3.1 Introduction -- 3.2 Various Data Sources in the Context of Environmental Monitoring and Protection 3.2.1 The Internet of Things EBL201701 Computing and Computers SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4745381 ebook n 201702 201701 21 PUBLIC https://catalogue.library.cern/legacy/2241691 BOOK MIGRATED 2241650 SzGeCERN 20210421212208.0 9781780408477 electronic version 49.99 (NL),62.49 (3U),49.99 (1U) electronic version oai:cds.cern.ch:2241650 cerncds:BOOK EBL 4742399 eng TJ165.S258 2016 621.31259999999997 Salveson, Andrew Guidelines for engineered storage for direct potable reuse London IWA Publishing 2016 207 p ebook WERF research report series 1206 Cover -- Copyright -- Abstract & Benefits -- Table of Contents -- List of Figures -- List of Tables -- Abbreviations and Acronyms -- Acknowledgments -- Executive Summary -- Chapter 1: Introduction -- 1.1 Understanding the Value of the Environmental Buffer -- 1.2 Safely Moving Toward DPR -- Chapter 2: Critical Elements in Engineered Storage Design -- 2.1 Monitoring and Response -- 2.1.1 Monitoring Treatment Performance -- 2.1.2 Direct Measurement of Pathogens -- 2.1.2.1 Real-Time Pathogen Monitoring Technologies -- 2.2.1.2 Discussion of Direct Analysis of Pathogens 2.1.2.3 The Use of Robust Surrogates for Microbial Parameters -- 2.1.2.4 Potential Indicators for Pathogens in Wastewater -- 2.1.3 Direct Measurement of Chemicals -- 2.2 Storage -- 2.3 Treatment -- 2.3.1 DPR Treatment Goals -- 2.3.2 Redundant Treatment as Compensation for Imperfect Monitoring -- Chapter 3: A Framework for Engineered Storage -- 3.1 Responding to Process Failure -- 3.2 Developing the Framework from a Monitoring Perspective -- 3.2.1 Process Failure Response Time -- 3.2.2 Expanding the Framework to the Treatment Train -- 3.2.3 Taking Full Credit -- 3.2.4 Taking Less than Full Credit 3.3 Redundancy and Periodic Monitoring as an Alternative to Real-Time Monitoring -- 3.3.1 Formal Failure Analysis -- 3.3.2 Revisiting the Framework with Respect to Treatment Redundancy -- Chapter 4: Public Communication -- 4.1 Animation Development: The Ways of Water -- 4.1.1 Why Use an Animation? -- 4.1.2 How Was The Ways of Water Designed? -- 4.2 Survey Development and Implementation (West Basin Municipal Water District in El Segundo) -- 4.3 Survey Results -- 4.3.1 Drinking Water Source -- 4.3.2 Safety, Source, and Taste -- 4.3.3 Sources of Information about Water Safety -- 4.3.4 Water Reuse 4.4 Conclusions -- 4.5 Discussion -- Chapter 5: Case Studies -- 5.1 Background Information for Case Studies -- 5.1.1 Case Study Utilities -- 5.1.2 Treatment Technology Literature Review -- 5.1.2.1 Chemical Constituents -- 5.1.2.2 Pathogens -- 5.1.2.3 Primary and Secondary Treatment -- 5.1.2.4 Lime Clarification -- 5.1.2.5 Media and Disc Filtration -- 5.1.2.6 Microfiltration and Ultrafiltration -- 5.1.2.7 Reverse Osmosis -- 5.1.2.8 Nanofiltration -- 5.1.2.9 UV and UV-Advanced Oxidation -- 5.1.2.10 Ozone -- 5.1.2.11 Free Chlorine -- 5.1.2.12 Chlorine Dioxide -- 5.1.3 Regulatory Framework 5.1.3.1 California -- 5.1.3.2 National -- 5.1.3.3 Texas -- 5.2 Case Study #1: El Paso -- 5.2.1 Background on El Paso Water Utilities -- 5.2.2 Development of a DPR Plan -- 5.2.3 Treatment Alternatives -- 5.2.4 Engineered Storage Buffer Sizing Framework Review -- 5.2.5 Treatment Process and Response Retention Time Analysis -- 5.2.6 Engineered Storage Buffer Sizing -- 5.2.7 Discussion of Nitrate in the Effluent from Bustamante WWTP -- 5.2.8 Infrastructure Needs -- 5.3 Case Study #2: Lubbock -- 5.3.1 Background on Lubbock -- 5.3.1.1 Water Supply Planning -- 5.3.1.2 Wastewater Treatment 5.3.1.3 Water Treatment EBL201701 SzGeCERN Engineering BOOK Snyder, Shane Macpherson, Linda https://cds.cern.ch/auth.py?r=EBLIB_P_4742399 ebook 201701 n 201702 21 PUBLIC https://catalogue.library.cern/legacy/2241650 BOOK MIGRATED 2241649 SzGeCERN 20170615235954.0 9780128054246 270 (NL),270 (UA),180 (1U) electronic version EBL 4742136 eng TJ808.C543 2017 621.04200000000003 Azad, Abul Kalam Clean energy for sustainable development comparisons and contrasts of new approaches Saint Louis, MO Elsevier Science 2016 632 p Front Cover -- CLEAN ENERGY FOR SUSTAINABLE DEVELOPMENT -- CLEAN ENERGY FOR SUSTAINABLE DEVELOPMENT -- Copyright -- CONTENTS -- LIST OF CONTRIBUTORS -- ABOUT THE EDITORS -- PREFACE -- One - Clean and Sustainable Energy Resources and Technologies -- One - Sustainable Energy Resources: Prospects and Policy -- 1.1 INTRODUCTION -- 1.2 FOSSIL FUELS -- 1.2.1 Carbon Sequestration -- 1.2.2 Geoengineering -- 1.2.3 Discussion -- 1.3 NUCLEAR ENERGY -- 1.4 RENEWABLE ENERGY -- 1.4.1 Earth Energy Flows and Renewable Energy Potential -- 1.4.2 Present and Future Use of Renewable Energy 1.4.3 Coping With Intermittent Renewable Energy Sources -- 1.5 PROSPECTS AND POLICIES FOR RENEWABLE ENERGY -- 1.5.1 Fossil Fuel Energy Subsidies Must Be Cut -- 1.5.2 Policies Needed to Support Renewable Energy -- 1.5.3 Which Sources of Renewable Energy Should Be Supported? -- 1.6 DISCUSSION -- GLOSSARY -- REFERENCES -- Two - Environmental Impact Assessment of Different Renewable Energy Resources: A Recent Development -- 2.1 INTRODUCTION -- 2.1.1 Life Cycle Assessment -- 2.2 LIFE CYCLE ASSESSMENT OF SOLAR PHOTOVOLTAIC SYSTEM -- 2.2.1 Methodology 2.2.2 Life Cycle Assessment Results of Solar Photovoltaic System -- 2.3 LIFE CYCLE ASSESSMENT OF WIND ENERGY SYSTEM -- 2.3.1 Methodology -- 2.3.2 Life Cycle Assessment Results of Power Generation From Wind -- 2.4 LIFE CYCLE ASSESSMENT OF BIOFUELS -- 2.4.1 Biomass Source -- 2.4.2 Methodology -- 2.4.2.1 Goal, System Boundaries, and Functional Unit -- 2.4.2.2 Life Cycle Inventory Analysis -- 2.4.2.3 Allocation Methods -- 2.4.2.4 Impact Assessment -- 2.4.3 Energy Balance, Greenhouse Gas Emission, and Environmental Concerns -- 2.4.3.1 Energy Balance -- 2.4.3.2 Greenhouse Gas Emission 2.4.3.3 Land Use and Other Environmental Issues -- 2.4.4 Reasons for Uncertainties in Biofuel Life Cycle Assessment -- 2.5 LIFE CYCLE ASSESSMENT OF BIOGAS -- 2.5.1 Feedstock and Environmental Effects -- 2.5.2 Greenhouse Gas Emission and Electricity Production -- 2.6 LIFE CYCLE ASSESSMENT OF HYDROPOWER PLANTS -- 2.7 LIFE CYCLE ASSESSMENT OF GEOTHERMAL POWER PLANTS -- 2.8 COMPARISON WITH CONVENTIONAL SYSTEMS -- 2.9 CONCLUSIONS -- REFERENCES -- Three - Clean and Sustainable Energy Technologies -- 3.1 INTRODUCTION -- 3.2 BIOMASS -- 3.2.1 Classification of Biomass Materials 3.2.2 Processing of Biomass -- 3.2.3 Conclusion -- 3.3 SOLAR POWER -- 3.3.1 Application and Advantages of Solar Energy -- 3.3.2 Solar Photovoltaics -- 3.3.3 Solar Thermal Application -- 3.3.4 Concentrated Solar Power -- 3.3.5 Conclusion -- 3.4 WIND POWER -- 3.4.1 World Wind Energy Scenario -- 3.4.2 Problems Associated With Wind Turbines -- 3.4.3 Conclusion -- 3.5 HYDROPOWER -- 3.5.1 Main Attributes of Hydropower As Renewable Energy Source -- 3.5.2 Conclusion -- 3.6 FUTURE PROSPECTS AND CHALLENGES FOR RENEWABLE ENERGY TECHNOLOGIES -- ACKNOWLEDGMENT -- REFERENCES Four - Bioenergy With Carbon Capture and Storage (BECCS): Future Prospects of Carbon-Negative Technologies Sharma, Subhash Rasul, Mohammad 9780128054239 print version oai:cds.cern.ch:2241649 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4742136 ebook ebook EBL201701 Engineering SzGeCERN BOOK n 201702 201701 21 PUBLIC BOOK DELETED 2241648 SzGeCERN 20210421212208.0 9783319474069 print version 9783319474083 electronic version 99 (NL),99 (1U) electronic version oai:cds.cern.ch:2241648 cerncds:BOOK EBL 4742093 eng QA43.E376 2017 510.76 Ehrmann, Andrea Examination of textiles with mathematical and physical methods Cham Springer 2016 180 p ebook Preface -- Contents -- About the Authors -- Chapter 1: Measurement Technology in Textile Industry and Research -- 1.1 Measurement Procedures -- 1.2 SI and Other Unit Systems -- 1.3 Environmental Conditions -- 1.4 Error Calculation -- 1.5 Basic Principles of Measurements -- Literature -- Chapter 2: Conductive Yarns, Fabrics, and Coatings -- 2.1 Basics of Conductivity -- 2.2 Conductive Materials for Textile Applications -- 2.3 Applications of Conductive Textiles -- 2.4 Measuring Conductive Properties of Yarns and Textiles -- 2.5 External Influences on Conductive Properties of Yarns and Textiles Literature -- Chapter 3: Magnetic Yarns, Fabrics, and Coatings -- 3.1 Different Forms of Magnetism -- 3.2 Applications of Magnetic Textiles -- 3.3 Making Textiles Magnetic -- 3.4 Measuring Textile Magnetism -- 3.5 Simulation of Magnetism in Textiles -- Literature -- Chapter 4: Dielectric Yarns, Fabrics and Coatings -- 4.1 What Is Dielectricity? -- 4.2 Applications of Dielectric Textiles and Coatings -- 4.3 Measuring Dielectric Properties of Textiles and Coatings -- Literature -- Chapter 5: Optical Examinations of Fibers, Yarns, and Fabrics -- 5.1 Resolution and Magnification 5.2 Optical Microscopy -- 5.3 Confocal Microscopy -- 5.4 Scanning Electron Microscopy -- Literature -- Chapter 6: Diffractive Effects in Yarns and Fabrics -- 6.1 How to Describe a Wave in a Quantitative Way? -- 6.2 Diffraction at Simple Barriers -- 6.3 Diffraction in Multibarriers -- 6.4 Applications of Diffraction on Textile Fibers -- 6.5 Applications of Diffraction on Textile Fabrics -- Literature -- Chapter 7: Image Processing Techniques for Evaluation of Textile Materials -- 7.1 The Cover Factor -- 7.2 Surface Roughness of Textile Fabrics 7.3 Definition and Common Measurement Methods of Yarn Hairiness -- 7.4 Determination of Yarn Hairiness Based on Microscopic Images and Statistical Analysis -- 7.4.1 Information Stored in a Monochromatic Image -- 7.4.2 Random Walk Method -- 7.4.3 Practical Realization of Random Walk Experiments at Optically Captured Maps -- 7.4.4 Experiments with Basic Structures -- 7.4.5 Experiments with Two-Dimensional Textile Structures -- 7.4.6 Experiments with Hemp Fibers -- Literature -- Chapter 8: Thermal Properties of Textiles -- 8.1 Heat Transport Through Materials -- 8.2 Thermal Radiation of Bodies 8.3 Standardized Tests of Heat Transfer Through Textile Fabrics -- 8.4 Other Measurements of Heat Transfer Through Textile Fabrics -- Literature -- Chapter 9: Hydrophobic and Hydrophilic Textiles -- 9.1 Hydrophobicity -- 9.2 Spray Test -- 9.3 Drop Test -- 9.4 Contact Angle Measurements -- 9.5 Dynamic Measurements: Contact Angles and Roll-Off Angle -- 9.6 Comparison Between Different Hydrophobicity Measures -- Literature -- Chapter 10: Mechanical Properties of Yarns, Fabrics, and Coatings -- 10.1 What Is the Reason for Elasticity? -- 10.2 Measuring Elastic Properties 10.3 Measuring Adhesive Forces by a Universal Testing Machine EBL201701 Mathematical Physics and Mathematics SzGeCERN BOOK Blachowicz, Tomasz https://cds.cern.ch/auth.py?r=EBLIB_P_4742093 ebook n 201702 201701 21 PUBLIC https://catalogue.library.cern/legacy/2241648 BOOK MIGRATED 2241578 SzGeCERN 20170811001655.0 9780081012659 270 (NL),270 (UA),180 (1U) electronic version EBL 4737251 eng G70.4L363 2016 621.36779999999999 Zribi, Mehrez Land surface remote sensing environment and risks San Diego, CA Elsevier Science 2016 386 p Front Cover -- Land Surface Remote Sensing: Environment and Risks -- Copyright -- Contents -- Foreword -- Acronyms -- Introduction -- Chapter 1. Drylands and Desertification -- 1.1. Drylands -- 1.2. Dryland vegetation observed by satellite -- 1.3. Soils and surface materials: the dominant components of drylands -- 1.4. Conclusions and outlook -- 1.5. Key points -- 1.6. Bibliography -- Chapter 2. Remote Sensing and Measuring Deforestation -- 2.1. Introduction: forests, deforestation and forest degradation -- 2.2. Which images should be used for measuring deforestation? Limits and advantages 2.3. Methods for monitoring deforestation -- 2.4. Programs for estimating deforestation on a global scale -- 2.5. Programs evaluating deforestation and degradation on a regional scale: some case studies -- 2.6. Outlook -- 2.7. Key points -- 2.8. Bibliography -- Chapter 3. Remote Sensing of Wildfires -- 3.1. Introduction -- 3.2. Fuel moisture estimation -- 3.3. Fire detection -- 3.4. Burnt area mapping -- 3.5. Perspectives -- 3.6. Key points -- 3.7. Bibliography -- Chapter 4. Characterization of Industrial Plumes -- 4.1. Introduction -- 4.2. Principal characteristics of anthropogenic plumes 4.3. Optical properties of plumes -- 4.4. Characterization of aerosol plumes using remote sensing -- 4.5. Characterization of gas plume properties -- 4.6. Conclusions and outlook -- 4.7. Key points -- 4.8. Bibliography -- Chapter 5. Monitoring of Earth Surface Motion and Geomorphologic Processes by Optical Image Correlation -- 5.1. Introduction -- 5.2. Sources of image data -- 5.3. Preprocessing -- 5.4. Principles of optical image correlation -- 5.5. Applications -- 5.6. Current limitations and perspectives -- 5.7. Conclusions -- 5.8. Key points -- 5.9. Acknowledgments -- 5.10. Bibliography Chapter 6. Application of Optical Remote Sensing for Monitoring Environmental Impacts of Mining: From Exploitation to Postmining -- 6.1. The environmental and societal stakes of mining -- 6.2. The role of Earth Observation -- 6.3. Application examples -- 6.4. Multisensor integrated approaches -- 6.5. Exploitation of an airborne LiDAR DTM -- 6.6. Conclusions and perspectives -- 6.7. Key points -- 6.8. Acknowledgments -- 6.9. Bibliography -- Chapter 7. The Contribution of SAR Data to Volcanology and Subsidence Studies -- 7.1. Introduction 7.2. Principles of using satellite SAR data to measure ground displacement -- 7.3. The contribution of InSAR to the understanding and monitoring of volcanoes -- 7.4. Contribution of InSAR to the characterization of anthropogenic subsidence -- 7.5. Outlook -- 7.6. Appendix 1 -- 7.7. Appendix 2 -- 7.8. Key points -- 7.9. Bibliography -- Chapter 8. Applications of Remote Sensing to Locust Management -- 8.1. Introduction -- 8.2. Potential of remote sensing in locust monitoring 8.3. Case study 1: using SPOT satellite images to evaluate the impact of habitat fragmentation on population dynamics of the red locust Nomadacris septemfasciata in the Sofia basin in Madagascar Baghdadi, Nicolas 9781785481055 print version oai:cds.cern.ch:2241578 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4737251 ebook ebook EBL201701 Engineering SzGeCERN BOOK n 201702 201701 21 PUBLIC BOOK DELETED 2241564 SzGeCERN 20210421212224.0 9780521899932 print version 9781316842591 electronic version 135 (NL),135 (1U) electronic version 9781139051507 electronic version electronic version oai:cds.cern.ch:2241564 cerncds:BOOK DOI 10.1017/9781139051507 ebook eng QB81.L484 2017 522.1 Leverington, David Observatories and telescopes of modern times ground-based optical and radio astronomy facilities since 1945 Cambridge, MA Cambridge University Press 2016 504 p ebook Cover -- Half-title -- Title page -- Copyright information -- Table of contents -- Preface -- Part 1 Optical Observatories -- 1 Palomar Mountain Observatory -- 1.1 The 200 inch (5.1 m) Hale Telescope -- 1.2 Palomar Schmidt Telescopes -- References -- 2 The United States Optical Observatory -- 2.1 Introduction -- 2.2 Founding of Association of Universities for Research in Astronomy (AURA) -- 2.3 The National Observatory Telescopes on Kitt Peak -- The 84 inch (2.1 m) Telescope -- McMath-Pierce Solar Telescope -- Kitt Peak Vacuum Telescope -- Mayall 158 inch (4.0 m) Telescope Remote Control Telescope -- Restructuring -- 2.4 Other Telescopes on Kitt Peak -- Steward Observatory's 36 inch (0.9 m) and the Spacewatch Project -- Steward Observatory's 90 inch (2.3 m) Bok Telescope -- University of Michigan's 52 inch (1.3 m) and the McGraw-Hill Observatory -- Move of the Burrell Schmidt -- Hiltner 2.4 m Telescope -- 2.5 National Observatory Funding Problems -- WIYN 3.5 m Telescope -- SARA 0.9 m Telescope -- Turn of the Century and Beyond -- 2.6 Cerro Tololo and its National Observatory Telescopes -- Blanco 158 inch (4.0 m) Telescope -- 2.7 Other Telescopes on Cerro Tololo References -- 3 From the Next Generation Telescope to Gemini and SOAR -- 3.1 Next Generation Telescope (NGT) -- 3.2 National New Technology Telescope (NNTT) -- 3.3 Gemini -- 3.4 SOAR -- References -- 4 Competing Primary Mirror Designs -- 4.1 Spun Honeycomb Mirrors -- 4.2 Segmented Mirrors -- Keck Telescopes -- Hobby-Eberly Telescope -- SALT -- LAMOST -- 4.3 Thin Meniscus Mirrors -- 4.4 Metal Mirrors -- 4.5 Liquid Mirror Telescopes -- References -- 5 Active Optics, Adaptive Optics and Other Technical Innovations -- 5.1 Active Optics -- 5.2 Adaptive Optics -- Curvature Sensor and Bimorph Systems Altitude-Conjugate Systems -- Laser Guide Star Systems -- Multi-Conjugate Systems -- Adaptive Secondary Mirrors -- 5.3 The Change to Altazimuth Mounts -- 5.4 Charge-Coupled Devices -- References -- 6 European Northern Observatory and Calar Alto -- 6.1 European Northern Observatory, Canary Islands -- Night-time Telescopes on Tenerife -- Night-time Telescopes on La Palma -- Solar Telescopes -- 6.2 Calar Alto -- References -- 7 European Southern Observatory -- 7.1 La Silla -- European Southern Observatory's Early Telescopes -- National Telescopes on La Silla -- ESO's New Technology Telescope La Silla Today -- 7.2 Cerro Paranal -- The VLT -- VISTA -- VLT Survey Telescope (VST) -- 7.3 OWL and the E-ELT -- References -- 8 Mauna Kea Observatory -- 8.1 Introduction -- 8.2 Canada-France-Hawaii (CFH) Telescope -- 8.3 NASA InfraRed Telescope Facility (IRTF) -- 8.4 United Kingdom InfraRed Telescope (UKIRT) -- 8.5 Subaru -- 8.6 The Kecks and Gemini North -- 8.7 Environmental and Other Concerns -- References -- 9 Australian Optical Observatories -- 9.1 Mount Stromlo, the Early Years -- 9.2 Siding Spring -- Anglo-Australian Observatory -- (a) Anglo-Australian Telescope -- (b) UK Schmidt (c) The Anglo-Australian Observatory becomes the Australian Astronomical Observatory An historical overview of the development of professional optical and radio observatories from 1945 to today. EBLlink deleted CBO202001 SzGeCERN Astrophysics and Astronomy BOOK 201701 CBO n 201702 21 PUBLIC https://catalogue.library.cern/legacy/2241564 BOOK MIGRATED 2241425 SzGeCERN 20200501234721.0 9783527332922 print version 9783527685141 electronic version 90.75 (NL),90.75 (3U),60.5 (1U) electronic version oai:cds.cern.ch:2241425 cerncds:BOOK EBL 1992206 eng QC611.8.O7 -- K64 2015eb 621.38152 Köhler, Anna Electronic processes in organic semiconductors an introduction Somerset John Wiley & Sons 2015 422 p Cover -- Title Page -- Copyright -- Contents -- Preface -- Table of Boxes -- Chapter 1 The Electronic Structure of Organic Semiconductors -- 1.1 Introduction -- 1.1.1 What Are ""Organic Semiconductors""? -- 1.1.2 Historical Context -- 1.2 Different Organic Semiconductor Materials -- 1.2.1 Molecular Crystals -- 1.2.2 Amorphous Molecular Films -- 1.2.3 Polymer Films -- 1.2.4 Further Related Compounds -- 1.2.5 A Comment on Synthetic Approaches -- 1.3 Electronic States of a Molecule -- 1.3.1 Atomic Orbitals in Carbon 1.3.2 From Atomic Orbitals to Molecular Orbitals -- 1.3.3 From Orbitals to States -- 1.3.4 Singlet and Triplet States -- 1.4 Transitions between Molecular States -- 1.4.1 The Potential Energy Curve -- 1.4.2 Radiative Transitions: Absorption and Emission -- 1.4.2.1 The Electronic Factor -- 1.4.2.2 The Vibrational Factor -- 1.4.2.3 The Spin Factor -- 1.4.3 A Classical Picture of Light Absorption -- 1.4.3.1 The Lorentz Oscillator Model and the Complex Refractive Index 1.4.3.2 Relating Experimental and Quantum Mechanical Quantities: The Einstein Coefficients, the Strickler-Berg Expression, and the Oscillator Strength -- 1.4.4 Non-Radiative Transitions: Internal Conversion and Intersystem Crossing -- 1.4.4.1 The Franck-Condon Factor F and the Energy Gap Law -- 1.4.4.2 The Electronic Coupling J -- 1.4.4.3 Accepting Modes, Promoting Modes, and the Isotope Rule -- 1.4.4.4 Implications of the Energy Gap Law -- 1.4.4.5 The Strong Coupling Limit 1.4.5 Basic Photophysical Parameters: Lifetimes and Quantum Yields -- 1.5 Spectroscopic Methods -- 1.5.1 Photoluminescence Spectra, Lifetimes, and Quantum Yields -- 1.5.1.1 Steady State Spectra and Quantum Yields -- 1.5.1.2 Spectra and Lifetimes in the Nanosecond to Second Range -- 1.5.1.3 Spectra and Lifetimes in the Picosecond to Nanosecond Range -- 1.5.1.4 Spectra and Time Scales below the Picosecond Range -- 1.5.2 Excited State Absorption Spectra -- 1.5.2.1 Steady State Spectra (Photoinduced Absorption) 1.5.2.2 Spectra in the Nanosecond Range (Flash Photolysis) -- 1.5.2.3 Spectra in the Femtosecond Range (fs Pump-Probe Measurements) -- 1.5.3 Fluorescence Excitation Spectroscopy -- 1.6 Further Reading -- References -- Chapter 2 Charges and Excited States in Organic Semiconductors -- 2.1 Excited Molecules from the Gas Phase to the Amorphous Film -- 2.1.1 Effects due to Polarization -- 2.1.2 Effects due to Statistical Averaging -- 2.1.3 Effects due to Environmental Dynamics 2.1.4 Effects due to Electronic Coupling between Identical Molecules - Dimers and Excimers The first advanced textbook to provide a useful introduction in a brief, coherent and comprehensive way, with a focus on the fundamentals. After having read this book, students will be prepared to understand any of the many multi-authored books available in this field that discuss a particular aspect in more detail, and should also benefit from any of the textbooks in photochemistry or spectroscopy that concentrate on a particular mechanism. Based on a successful and well-proven lecture course given by one of the authors for many years, the book is clearly structured into four sections: electr Bässler, Heinz Hler, Anna Ssler, Heinz https://cds.cern.ch/auth.py?r=EBLIB_P_1992206 ebook ebook EBL Electronics -- Materials EBL Organic electronics EBL201701 Engineering SzGeCERN BOOK n 201702 201701 21 PUBLIC BOOK DELETED 2241416 SzGeCERN 20200128202330.0 9783527335534 print version 9783527673346 electronic version 271.5 (NL),271.5 (3U),181 (1U) electronic version oai:cds.cern.ch:2241416 cerncds:BOOK EBL 1883961 eng TP159.C3 -- .K573 2015eb 621.38152 Kisch, Horst Semiconductor photocatalysis principles and applications Somerset John Wiley & Sons 2014 266 p Semiconductor Photocatalysis -- Contents -- Preface -- Acknowledgments -- Chapter 1 Introduction -- 1.1 A Brief History of Photochemistry -- 1.2 Catalysis, Photochemistry, and Photocatalysis -- Chapter 2 Molecular Photochemistry -- 2.1 Absorption and Emission -- 2.2 Intensity of Electronic Transitions -- 2.2.1 Contribution of Nuclei -- 2.2.2 Contribution of Spin -- 2.2.3 Contribution of Orbitals -- 2.3 Excited States Radiative Lifetimes -- 2.4 Energy and Electron Transfer -- 2.4.1 Energy Transfer -- 2.4.2 Electron Transfer 2.5 Proton Transfer and Hydrogen Abstraction -- 2.6 Photosensitization -- 2.7 Rates and Quantum Yields -- 2.8 Quenching of Excited States -- 2.8.1 Identification of the Reactive Excited State -- 2.9 Absorption, Emission, and Excitation Spectra -- 2.10 Classification and Reactivity of Excited States -- 2.10.1 Organic Molecules -- 2.10.1.1 π,π* States -- 2.10.1.2 n,π* States -- 2.10.1.3 Charge-Transfer (CT) States -- 2.10.1.4 Triplet and Singlet Oxygen Reactions -- 2.10.2 Inorganic and Organometallic Complexes -- 2.10.2.1 Metal-Centered (MC) states 2.10.2.2 Ligand-Centered (LC) States -- 2.10.2.3 Charge Transfer Metal to Ligand (CTML) States -- 2.10.2.4 Charge Transfer Ligand to Metal (CTLM) States -- 2.10.2.5 Charge Transfer to Solvent (CTTS) States -- 2.10.2.6 Intervalence Transfer (IT) States -- Chapter 3 Molecular Photocatalysis -- 3.1 Hydrogenation of 1,3-Dienes -- 3.2 Co-Cyclization of Alkynes with Nitriles -- 3.3 Enantioselective Trifluoromethylation of Aldehydes -- 3.4 Photoinduced Electron Transfer Catalysis -- 3.5 Reduction and Oxidation of Water -- Chapter 4 Photoelectrochemistry 4.1 Electronic Structure and Nature of Excited States -- 4.1.1 The (Optical) Bandgap -- 4.1.1.1 Measurement of the Bandgap Energy -- 4.1.1.2 Influence of Crystal Size -- 4.1.2 The Photonic Bandgap -- 4.1.3 Emission Spectra -- 4.2 Photocorrosion -- 4.3 Interfacial Electron Transfer -- 4.3.1 Introduction -- 4.3.2 Thermal Interfacial Electron Transfer (IFET) -- 4.3.2.1 IFET at the Metal/Liquid Interface -- 4.3.2.2 IFET at the Semiconductor/Liquid Interface -- 4.3.3 Photochemical Interfacial Electron Transfer 4.3.3.1 IFET in Large Semiconductor Crystals -- 4.3.3.2 IFET in Small Semiconductor Crystals -- Chapter 5 Semiconductor Photocatalysis -- 5.1 Mechanisms, Kinetics, and Adsorption -- 5.1.1 General Classification of Reactions -- 5.1.2 Rates, Quantum Yields, and Their Comparability -- 5.1.2.1 Direct Semiconductor Photocatalysis -- 5.1.2.1.1 Factors Determining the Quantum Yield -- 5.1.2.1.2 Kinetic Aspects -- 5.1.2.1.3 Quantum Yield -- 5.1.2.1.3 Role of Adsorption -- 5.1.2.1.3 Indirect Semiconductor Photocatalysis 5.1.3 Influence of Semiconductor Nature and Particle Size on Chemical Selectivity Focusing on the basic principles of semiconductor photocatalysis, this book also gives a brief introduction to photochemistry, photoelectrochemistry, and homogeneous photocatalysis. In addition, the author - one of the leading authorities in the field - presents important environmental and practical aspects. A valuable, one-stop source for all chemists, material scientists, and physicists working in this area, as well as novice researchers entering semiconductor photocatalysis. https://cds.cern.ch/auth.py?r=EBLIB_P_1883961 ebook ebook EBL Catalysts EBL Nanoparticles EBL201701 Engineering SzGeCERN BOOK n 201702 201701 21 PUBLIC BOOK DELETED 2241079 SzGeCERN 20200716220211.0 ebook This ebook is not available anymore on the Safari platform SAF201701 SAFlink deleted 202001 eng BOOK SzGeCERN Engineering Kharchenko, Vadym M https://ezproxy.cern.ch/login?url=http://proquest.tech.safaribooksonline.de/?uiCode=CERN&xmlId=9781439886588 ebook n 201702 21 PUBLIC Deleted SAF Power (Mechanics) SAF Electric power production SAF Environmental engineering SAFARI ocn965383328 9781439886588 9781482216882 1482216884 9781482216875 1482216876 9781439887295 1439887292 oai:cds.cern.ch:2241079 cerncds:BOOK OCoLC 965383328 TJ163.9 Kharchenko, N V Advanced energy systems 2nd ed. Boca Raton, FL CRC Press 2014 mult. p 2241037 SzGeCERN 20210421212310.0 9780191829604 electronic version electronic version 9780198787495 print version DOI 10.1093/acprof:oso/9780198787495.001.0001 ebook oai:cds.cern.ch:2241037 cerncds:BOOK eng Roy-Barman, Matthieu Marine geochemistry ocean circulation, carbon cycle and climate change Oxford Oxford University Press 2016 ebook Marine geochemistry uses chemical elements and their isotopes to study how the ocean works. It brings quantitative answers to questions such as: What is the deep ocean mixing rate? How much atmospheric CO2 is pumped by the ocean? How fast are pollutants removed from the ocean? How do ecosystems react to the anthropogenic pressure? The book provides a simple introduction to the concepts (environmental chemistry, isotopes), the methods (field approach, remote sensing, modeling) and the applications (ocean circulation, carbon cycle, climate change) of marine geochemistry with a particular emphasis on isotopic tracers. Marine geochemistry is not an isolated discipline: numerous openings on physical oceanography, marine biology, climatology, geology, pollutions and ecology are proposed and provide a global vision of the ocean. It includes new topics based on ongoing research programs such as GEOTRACES, Global Carbon Project, Tara Ocean. It provides a complete outline for a course in marine geochemistry. To favor a hands-on approach, application exercises are worked out throughout the book and each chapter concludes with a set of problems based on the recent scientific literature (with solutions given at the end of the book). OSO201701 SzGeCERN Chemical Physics and Chemistry BOOK Jeandel, Catherine 201701 OSO h 201702 21 PUBLIC https://catalogue.library.cern/legacy/2241037 BOOK MIGRATED 2240953 SzGeCERN 20210421212318.0 9781493965670 print version 9781493965687 electronic version electronic version DOI 10.1007/978-1-4939-6568-7 ebook oai:cds.cern.ch:2240953 cerncds:BOOK eng QA276-280 330.015195 23 Advances in time series methods and applications the A. Ian McLeod festschrift New York Springer 2016 ebook Fields Institute communications 1069-5265 78 1. Ian McLeod's Contribution to Time Series Analysis: a Tribute (W.K. Li) -- 2. The Doubly Adaptive LASSO for Vector Autoregressive Models (Z.Z. Liu, R. Kulperger, H. Yu) -- 3. On diagnostic checking autoregressive conditional duration models with wavelet-based spectral density estimators (P. Duchesne, Y. Hong) -- 4. Diagnostic checking for Weibull autoregressive conditional duration models (Y. Zheng, Y. Li, W.K. Li, G. Li) -- 5. Diagnostic checking for Partially Nonstationary Multivariate ARMA Models (M.T. Tai, Y.X. Yang, and S.Q. Ling) -- 6. The portmanteau tests and the LM test for ARMA models with uncorrelated errors (N. Katayama) -- 7. Generalized C(alpha) tests for estimating functions with serial dependence J.-M. Dufour, A. Tognon, P. Tuvaandorj) -- Regression Models for Ordinal Categorical Time Series Data (B.C. Sutradhar, R.P. Rao) -- 9. Identification of Threshold Autoregressive Moving Average Models (Q. Xia, H. Wong) -- 10. Improved Seasonal Mann-Kendall Tests for Trend Analysis in Water Resources Time Series (Y. Zhang, P. Cabilio and K. Nadeem) -- 11. A brief derivation of the asymptotic distribution of Pearson’s statistic and an accurate approximation to its exact distribution (S.B. Provost) -- 12. Business Resilience during Power Shortages: A Power Saving Rate Measured by Power Consumption Time Series in Industrial Sector before and after the Great East Japan Earthquake in 2011 (Y. Kajitani) -- Atmospheric CO2 and global temperatures: the strength and nature of their dependence (G. Tunnicliffe Wilson) -- Catching Uncertainty of Wind: A Blend of Sieve Bootstrap and Regime Switching Models for Probabilistic Short-term Forecasting of Wind Speed (Y.R. Gel, V. Lyubchich, S.E. Ahmed). . This volume reviews and summarizes some of A. I. McLeod's significant contributions to time series analysis. It also contains original contributions to the field and to related areas by participants of the festschrift held in June 2014 and friends of Dr. McLeod. Covering a diverse range of state-of-the-art topics, this volume well balances applied and theoretical research across fourteen contributions by experts in the field. It will be of interest to researchers and practitioners in time series, econometricians, and graduate students in time series or econometrics, as well as environmental statisticians, data scientists, statisticians interested in graphical models, and researchers in quantitative risk management. Mathematics and statistics SPR201701 SzGeCERN Mathematical Physics and Mathematics SPR Statistics SPR Statistics for BusinessEconomicsMathematical FinanceInsurance BOOK Li, Wai ed. Stanford, David ed. Yu, Hao ed. SPR n 201702 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240953 BOOK MIGRATED 2240936 SzGeCERN 20210422083816.0 9783319487243 print version 9783319487250 electronic version electronic version DOI 10.1007/978-3-319-48725-0 e-proceedings oai:cds.cern.ch:2240936 cerncds:CONF eng TJ241 670 23 20161107 International Conference on Sustainable Vital Technologies in Engineering and Informatics Cairo, Egypt 7 - 9 Nov 2016 2016 cairo20161107 EG BUE ACE1 2016 20161109 Cham Springer 2017 ebook Lecture notes in networks and systems 2367-3370 4 Part I – Structures, Built & Natural Environment -- Part II - Energy -- Part III – Advanced Mechanical Technologies -- Part IV – Electronics & Communication Technologies. This book reports on cutting-edge technologies that have been fostering sustainable development in a variety of fields, including built and natural environments, structures, energy, advanced mechanical technologies as well as electronics and communication technologies. It reports on the applications of Geographic Information Systems (GIS), Internet-of-Things, predictive maintenance, as well as modeling and control techniques to reduce the environmental impacts of buildings, enhance their environmental contribution and positively impact the social equity. The different chapters, selected on the basis of their timeliness and relevance for an audience of engineers and professionals, describe the major trends in the field of sustainable engineering research, providing them with a snapshot of current issues together with important technical information for their daily work, as well as an interesting source of new ideas for their future research. The works included in this book were selected among the contributions to the BUE ACE1, the first event, held in Cairo, Egypt, on 8-9 November 2016, of a series of Annual Conferences & Exhibitions (ACE) organized by the British University in Egypt (BUE). Engineering SPR201701 SzGeCERN Engineering CONFERENCE PROCEEDINGS Bahei-El-Din, Yehia ed. Hassan, Maguid ed. Advanced Technologies for Sustainable Systems BUE ACE1 2016 Acronym SPR n 201701 201701 42 PUBLIC https://catalogue.library.cern/legacy/2240936 PROCEEDINGS MIGRATED 2240924 SzGeCERN 20210422083825.0 9783319416878 print version 9783319416885 electronic version electronic version oai:cds.cern.ch:2240924 cerncds:CONF DOI 10.1007/978-3-319-41688-5 e-proceedings eng Q342 23 006.3 20160727 AHFE 2016 International Conference on Social and Occupational Ergonomics Orlando, FL, USA 27 - 31 Jul 2016 2016 orlando20160727 US 20160731 Cham Springer 2017 ebook Advances in intelligent systems and computing 487 2194-5357 Macroergonomic Systems -- Social and Occupational Innovation -- Modeling and Systems in Occupational Ergonomics -- Job Satisfaction, Workload and Musculoskeletal Disorders -- Accidents and Safety -- Social and Organizational Factors in Industry. Engineering SPR201701 SzGeCERN Engineering SPR Sports SPR Community psychology SPR Environmental psychology SPR Community and Environmental Psychology SPR Sociology of Sport and Leisure CONFERENCE PROCEEDINGS Goossens, Richard ed. Advances in Social & Occupational Ergonomics 201701 SPR n 201701 42 PUBLIC https://catalogue.library.cern/legacy/2240924 PROCEEDINGS MIGRATED 2240662 2240907 SzGeCERN 20210422083830.0 9789811030987 print version (v.3) 9789811030994 electronic version (v.3) electronic version (v.3) 9789811031014 print version (v.1) 9789811031021 electronic version (v.1) electronic version (v.1) 9789811031106 print version (v.2) 9789811031113 electronic version (v.2) electronic version (v.2) oai:cds.cern.ch:2240907 cerncds:CONF DOI 10.1007/978-981-10-3102-1 e-proceedings (v.1) DOI 10.1007/978-981-10-3111-3 e-proceedings (v.2) DOI 10.1007/978-981-10-3099-4 e-proceedings (v.3) eng TJ807-830 23 621.042 20151013 CAETS 2015 Convocation on Pathways to Sustainability New Dehli, India 13 - 14 Oct 2015 2015 newdehli20151013 IN 20151014 CAETS 2015 Convocation on Pathways to Sustainability v.1 Energy engineering v.2 Healthcare engineering v.3 Mobility engineering Singapore Springer 2017 ebook Chapter 1. Low Carbon Pathways for India and the World -- Chapter 2. Fuel Cell Technologies for Defence Applications -- Chapter 3. Wind Energy for Buildings and Transport Sectors -- Chapter 4. Waste to Biohydrogen: Addressing Sustainability with Environmental Biorefinery -- Chapter 5. Indian Advances in Fast Breeder Nuclear Reactor Engineering -- Chapter 6. China’s long road to the high-efficiency, clean, and low-carbon energy transition -- Chapter 7. The Possible Rate of Transition to Lower-carbon Housing -- Chapter 8. Solar Cells: Materials beyond Silicon -- Chapter 9. Nano-Bio-Photonics: Integrating Technologies to Meet Challenges in Energy, Mobility and Healthcare -- Chapter 10. Carbon Dioxide to Energy: Killing Two Birds with One Stone -- Chapter 11. Multi Scale Optimization of Building Energy -- Chapter 12. Emerging Construction Materials for Energy Infrastructure -- Chapter 13. Energy Efficient Power Generation and Water Management through Membrane Technology -- Chapter 14. Transition to Lower Carbon Energy Regime: Engineering Challenges in Building and Transportation Sectors -- Chapter 15. Energy Options and Scenarios for Transitioning to a Lower Carbon Economy: An Indian Perspective -- Chapter 16. Mixed Culture Chain Elongation (MCCE) – A Novel Biotechnology for Renewable Biochemical Production from Organic Residual Streams -- Chapter 17. Bio-Energy and Bio-Refinery: Advances and Applications -- Chapter 18. Sulfonated Polyethersulfone/Torlon Blend Membrane Incorporated with Multi-walled Carbon Nanotubes for Energy Production Using Microbial Fuel Cell -- Chapter 19. Development of Sulfonated Polyethersulfone/Matrimid Acid-Base Blend Membrane for Energy Production through Fuel Cells -- Chapter 20. Adaption of a Green Technology (Friction Stir Welding) to Join Fusion Energy Materials -- Chapter 21. Advanced Materials for Indian Future Nuclear Energy Systems -- Chapter 22. Mitigating Embrittlement in Structural Steels of Power Plants by Grain Boundary Engineering. Chapter 1. Ethics-Based-Engineering: Importance of Academy’s Initiative toward Human Security and Well-Being -- Chapter 2. Scalable Medical Devices: Personal and Social -- Chapter 3. Therapeutic Platforms for Ischemic and Traumatic Brain Injuries across National-level Neuroimaging Grids -- Chapter 4. Next Generation Devices and Technologies through Regenerative Engineering -- Chapter 5. Rising Healthcare Spending: Is Technology the Solution? -- Chapter 6. Big Data Analytics and Molecular Medicine -- Chapter 7. Can Life Sciences Progress without Engineering? -- Chapter 8. Evaluation of BMP-2 Mediated Bone Formation using Enzymatically Crosslinkable Injectable Hydrogels: An In vivo Study using Transgenic Fluorescent Reporter Mouse Model -- Chapter 9. Supporting the Diagnosis of Childhood Pneumonia in Low Resource Settings -- Chapter 10. Adoption of Personalized Medicine: Towards Identifying Critical Changes -- Chapter 11. Biophysics-based Markers Surpassing Biochemical Markers in Screening of Ageing-related Neurodegeneration and Cognitive Impairment. Chapter 1. Renaissance and Electric Vehicles Development -- Chapter 2. Smart Mobility: Driver State Estimation and Advanced Driver-vehicle Interfaces -- Chapter 3. Modular Hydraulic Trailer Technology -- Chapter 4. Current Situation and Prospect of Transportation Development in China -- Chapter 5. Civil Engineering Innovation Shaping Mobility of the Future -- Chapter 6. Future Shapes of Bridges in Urban Environment -- Chapter 7. Making of Bandra-Worli Sea Link -- Chapter 8. Digitally Reimagining Mobility -- Chapter 9. Willingness to Pay for Improvement in Service Quality of Public Transit System -- Chapter 10. Shinkansen/High Speed Railway -- Chapter 11. Unique Engineering Features of Delhi Metro -- Chapter 12. Creating Sustainable Transportation System in India - Materials Engineer Perspective -- Chapter 13. Lack of Enforcement Nullifies the Benefits of Mobility Improvement Measures: Some Examples -- Chapter 14. Optimizing Traffic Control for a Minimization of Fuel Consumptions and Emission Values. This book contains the proceedings of CAETS 2015 Convocation on ‘Pathways to Sustainability: Energy, Mobility and Healthcare Engineering’ that was held on October 13-14, 2015 in New Delhi. This 3 volume proceedings provide an international forum for discussion and communication of engineering and technological issues of common concern. This volume talks about ‘Energy’ and includes 22 chapters on diverse topics like renewable energy, advances and applications of bio-energy and bio-refinery, energy options and scenarios, wind energy for buildings and transportation, etc. The contents of this volume will be useful to researchers, professionals, and policy makers alike. The book contains the proceedings of CAETS 2015 Convocation on ‘Pathways to Sustainability: Energy, Mobility and Healthcare Engineering’ that was held on October 13-14, 2015 in New Delhi. This 3 volume proceedings provide an international forum for discussion and communication of engineering and technological issues of common concern. This volume talks about ‘Healthcare’ and includes 11 chapters on diverse topics like regenerative engineering, big data analytics in healthcare, molecular science, rising expenditure on health issues, adoption of personalized medicine, etc. The contents of this volume will be useful to researchers and healthcare professionals. . The book contains the proceedings of CAETS 2015 Convocation on ‘Pathways to Sustainability: Energy, Mobility and Healthcare Engineering’ that was held on October 13-14, 2015 in New Delhi. This 3 volume proceedings provide an international forum for discussion and communication of engineering and technological issues of common concern. This volume talks about ‘Mobility’ and includes 14 chapters on diverse topics like creating sustainable transportation systems, mobility of the future, unique engineering features like Delhi metro, digitally re-imagining mobility, trends and future strategies of transportation electrification, etc. The contents of this book will be useful to researchers, professionals, and policy makers alike. Engineering SPR201701 SPR201702 MULTIVOLUMESX SzGeCERN Engineering SPR Energy, general CONFERENCE PROCEEDINGS Raghavan, KV ed. Ghosh, Purnendu ed. Shorey, Rajeev ed. Tandon, Mahesh ed. v.1 Energy engineering v.2 Healthcare engineering v.3 Mobility engineering 201701 SPR n 201701 42 PUBLIC https://catalogue.library.cern/legacy/2240907 PROCEEDINGS MIGRATED 2240873 SzGeCERN 20210422083853.0 9783319464893 print version 9783319464909 electronic version electronic version DOI 10.1007/978-3-319-46490-9 e-proceedings oai:cds.cern.ch:2240873 cerncds:CONF eng Q342 006.3 23 15th International Conference on Global Research and Education Inter-Academia 2016 Warsaw, Poland 26 - 28 Sep 2016 2016 warsaw20160926 PL 15 20160928 20160926 Cham Springer 2017 ebook Advances in intelligent systems and computing 2194-5357 519 Material Science and Technology, Smart Materials -- Nanotechnology, Nanometrology, Nanoelectronics -- Biotechnology, Bioengineering, Environmental Engineering -- Plasma Physics -- Measurement, Signal Processing, Identification, Control -- Robotics, Computing, Modelling, Diagnostics -- Metrology, Sensors and Devices. Developments in the connected fields of solid state physics, bioengineering, mechatronics and nanometrology have had a profound effect on the emergence of modern technologies and their influence on our lives. In all of these fields, understanding and improving the basic underlying materials is of crucial importance for the development of systems and applications. The International Conference Inter-Academia 2016 has successfully married these fields and become a regular feature in the conference calendar. It consisted of seven thematic areas in the field of material science, nanotechnology, biotechnology, plasma physics, metrology, robotics, sensors and devices. The book Recent Global Research and Education: Technological Challenges is intended for use in academic, government and industry R&D departments, as an indispensable reference tool for the years to come. Also, we hope that the volume can serve the world community as the definitive reference source in Advances in Intelligent Systems and Computing. This book comprises carefully selected 68 contributions presented at the 15th International Conference on Global Research and Education INTER-ACADEMIA 2016, organized by Faculty of Mechatronics, Warsaw University of Technology, on September 26-28, in Warsaw, Poland. It is the second volume in series, following the edition in 2015. It brings together the knowledge and experience of 150 leading researchers representing 13 countries. We would like to thank all contributors and reviewers for helping us to put-together this book. Engineering SPR201701 SzGeCERN Engineering CONFERENCE PROCEEDINGS Jabłoński, Ryszard ed. Szewczyk, Roman ed. Recent Global Research and Education Technological Challenges SPR n 201701 201701 42 PUBLIC https://catalogue.library.cern/legacy/2240873 PROCEEDINGS MIGRATED 2240860 SzGeCERN 20210422083900.0 9783319411316 print version (v.1) 9783319411323 electronic version (v.1) electronic version (v.1) 9783319413501 print version (v.6) 9783319413518 electronic version (v.6) electronic version (v.6) 9783319415420 print version (v.2) 9783319415437 electronic version (v.2) electronic version (v.2) 9783319415994 print version (v.3) 9783319416007 electronic version (v.3) electronic version (v.3) 9783319417653 print version (v.7) 9783319417660 electronic version (v.7) electronic version (v.7) 9783319420271 print version (v.4) 9783319420288 electronic version (v.4) electronic version (v.4) 9783319421940 print version (v.8) 9783319421957 electronic version (v.8) electronic version (v.8) 9783319422275 print version (v.5) 9783319422282 electronic version (v.5) electronic version (v.5) 9783319422541 print version (v.9) 9783319422558 electronic version (v.9) electronic version (v.9) 9783319424255 print version (v.10) 9783319424262 electronic version (v.10) electronic version (v.10) DOI 10.1007/978-3-319-41132-3 e-proceedings (v.1) DOI 10.1007/978-3-319-41543-7 e-proceedings (v.2) DOI 10.1007/978-3-319-41600-7 e-proceedings (v.3) DOI 10.1007/978-3-319-42028-8 e-proceedings (v.4) DOI 10.1007/978-3-319-42228-2 e-proceedings (v.5) DOI 10.1007/978-3-319-41351-8 e-proceedings (v.6) DOI 10.1007/978-3-319-41766-0 e-proceedings (v.7) DOI 10.1007/978-3-319-42195-7 e-proceedings (v.8) DOI 10.1007/978-3-319-42255-8 e-proceedings (v.9) DOI 10.1007/978-3-319-42426-2 e-proceedings (v.10) oai:cds.cern.ch:2240860 cerncds:CONF eng TA405-409.3 QA808.2 620.1 23 2016 Annual Conference on Experimental and Applied Mechanics Orlando, FL, USA 6 - 9 Jun 2016 2016 orlando20160606 US 20160609 20160606 2016 Annual Conference on Experimental and Applied Mechanics v.1 Dynamic behavior of materials v.10 Joining technologies for composites and dissimilar materials v.2 Challenges in mechanics of time dependent materials v.3 Advancement of optical methods in experimental mechanics v.4 Experimental and applied mechanics v.5 Micro and nanomechanics v.6 Mechanics of biological systems and materials v.7 Mechanics of composite and multi-functional materials v.8 Fracture, fatigue, failure and damage evolution v.9 Residual stress, thermomechanics & infrared imaging, hybrid techniques and inverse problems Cham Springer 2017 ebook Conference proceedings of the Society for Experimental Mechanics series 2191-5644 1 Atomistic Simulation of a Two-Dimensional Polymer Tougher Than Graphene -- 2 Transverse Compression Response of Ultra-high Molecular Weight Polyethylene Single Fibers -- 3 Morphology and Mechanics of the Young Minipig Cranium -- 4 Dynamic Characterization of Nitronic 30, 40 and 50 Series Stainless Steels by Numerical Analysis -- 5 Mechanical Response of T800/F3900 Composite at Various Strain Rates -- 6 Full-Field Temperature and Strain Measurement in Dynamic Tension Tests on SS 304 -- 7 Dynamic Fracture Response of a Synthetic Cortical Bone Simulant -- 8 Fracture Response of Cross-Linked Epoxy Resins at High Loading Rate as a Function of Glass Transition Temperature -- 9 Measurement of Dynamic Response Parameters of an Underdamped System -- 10 Dynamic Penetration and Bifurcation of a Crack at an Interface in a Transparent Bi-Layer: Effect of Impact Velocity -- 11 Influence of Loading Rate Effects Fracture Strength of Individual Sand Particles -- 11 Arrested Compression Tests on two Types of Sand -- 12 Composite Plate Response to Shock Wave Loading -- 13 Initial Experimental Validation of an Eulerian Method for Modeling Composites -- 14 Characterization of High Strain Rate Dependency of 3D CFRP materials -- 15 High-strain Rate Compressive Behavior of a Clay under Uniaxial Strain State -- 16 Mesoscopic Modelling of High Performance Fiber Reinforced Concrete under Dynamic Loading -- 17 Comparison of Failure Mechanisms due to Shock Propagation in Forged, Layered, and Additive Manufactured Titanium Alloy -- 18 Instrumented Penetration of Metal Alloys during High-Velocity Impacts -- 19 Confined Underwater Implosions using 3D Digital Image Correlation -- 20 Response of Composite Cylinders Subjected to Near Field Underwater Explosions._ 21 Microstructural Effects on the Spall Properties of Al 5083: Equal-Channel Angular Extrusion (ECAE) plus Cold Rolling -- 23 Experimental Study of the Dynamic Fragmentation in Transparent Ceramic Subjected to Projectile Impact -- 24 Instrumented Projector for Dynamic Testing -- 25 NIST Mini-Kolsky Bar: Historical Review -- 26 A General Approach to Evaluate the Dynamic Fracture Toughness of Materials -- 27 Which one has More Influence on Fracture Strength of Ceramics: Pressure or Strain Rate? -- 28 Dynamic Strength and Fragmentation Experiments on Brittle Materials Using Theta-specimens -- 29 DTEM in situ Mechanical Testing: Defects Motion at High Strain Rates -- 30 High-Strain-Rate Deformation of Ti-6Al-4V through Compression Kolsky Bar at High Temperatures -- 31 Parametric Study of the Formation of Cone Cracks in Brittle Materials -- 32 Shockless Characterization of Ceramics -- 33 Dynamic Hyper Elastic Behavior of Compression Shock Loaded Vibration Dampers -- 34 Specimen Size Effect on Stress-Strain Response of Foams Under Direct-Impact -- 35 Texture Evolution of Fine-grained Mg Alloy at Dynamic Strain Rates -- Failure Processes Governing High Rate Impact Resistance of Epoxy Resins Filled with Core Shell Rubber Nanoparticles -- 37 Ballistic Response of Polydicyclopentadiene vs. Epoxy Resins and Effects of Crosslinking. 1 Cracking and Durability of Composites in a Marine Environment -- 2 Analyses of Nanoscale to Microscale Strength and Crack-tip Stresses Using Nanomechanical Raman Spectroscopy in In 617 -- 3 High Creep Resistance of Titanium Aluminides Sintered by SPS -- 4 An Investigation of the Temperature and Strain-Rate Effects on Strain-to-Failure of UHMWPE Fibers -- 5 Keynote Life Prediction of CFRP Laminates based on Accelerated Testing Methodology -- 6 Rate Dependent Interfacial Properties Using the JKR Experimental Technique -- 7 Bio-based Composites as Thermorheologically Complex Materials -- 8 Viscoelastic Properties of Longitudinal Waves in a Hollow Cylinder -- 9 Evaluation of Viscoelastic Characteristics Under High Strain Rate by Impact Test -- 10 Phase Changes in Embedded HMX in Response to Periodic Mechanical Excitation -- 11 Effect of Crystal Density on Dynamic Deformation Behavior of PBX -- 12 Strain Rate Dependent Failure of Interfaces Examined via Nanoimpact Experiments -- 13 A Theory of Coupled Anisothermal Chemomechanical Degradation for Finitely-deforming Composite Materials with Eshelbian Interactive Forces -- 14 Effect Of Temperature And Moisture on the Mechanical Properties of Fiber Reinforced Nylon 6 Composites -- 15 Using Hydrostatic Pressure to Maximize Frequency Dependent Damping Properties of Thermoplastic Polyurethane -- 16 Impact Of Hydro-Mechanical Loadings On Rupture Process In Wood Material -- 17 2D Transient Viscoplastic Model for Dislocation Generation of SiC by PVT Method -- 18 Temperature-Dependent Small Strain Plasticity Behavior of 304L Stainless Steel -- 19 Time and Temperature Creep Behaviour Measurement of Al and Al-Mg Alloy Thin Films Using Pressure Bulge Tests -- 20 Multifunctional Wings with Flexible Batteries and Solar Cells for Robotic Birds -- 21 Rate-Dependent Constitutive Model Development of PC/ABS Material -- 22 Comprehensive Viscoelastic Properties Characterization of EMC Using FBG Sensor -- 23 Back Stress in Modeling the Response of PEEK and PC -- 24 Dynamic Testing and Constitutive Modelling of NBR Rubbers -- 25 A New Temperature-dependent Storage Modulus Model of Epoxy Resin -- 26 Identification of Plastic Behaviour of Sheet Metals in High Strain Rate Tests -- 27 Characterization of Fiber Composites at Lower Strain Rates. 1 A General Mathematical Model to Retrieve Displacement Information from Fringe Patterns -- 2 Full-Field High-Strain Evaluation from Wrapped ESPI Data Using Phasors -- 3 Dynamic Deformation with Static Load -- 4 Full-field Digital Holographic Vibrometry for Characterization of High-speed MEMS -- 5 DD DIC A Parallel Finite Element Based Digital Image Correlation Solver -- 6 Thermal Strain Measurement Using Digital Image Correlation with Systematic Error Elimination -- 7 Investigating the Tensile Response of Materials at High Temperature Using DIC -- 8 Hybrid Stereocorrelation for 3D Thermomechanical Field Measurements -- 9 Experimental Characterization of the Mechanical Properties of 3D Printed ABS and Polycarbonate Parts -- 10 Experimental Determination of Transfer Length in Pre-Stressed Concrete Using 3D-DIC -- 11 Hybrid Infrared Image Correlation Technique to Deformation Measurement of Composites -- 12 DIC Anisotropic Denoising Based on Uncertainty -- 13 An Applications-Oriented Measurement System Analysis of 3D Digital Image Correlation -- 14 Preliminary study on Determination Pointing-Knowledge of Camera-Pair Used for 3D DIC -- 15 Elimination of Periodical Error for Bi-directional Displacement in Digital Image Correlation Method -- 16 The Cluster Approach Applied to Multi-Camera 3D DIC system -- 17 Self-Adaptive Isogeometric Global Digital Image Correlation and Digital Height Correlation -- 18 Ultrasonic Test for High Rate Material Property Imaging -- 19 Analysis of Dynamic Bending Using DIC and Virtual Fields Method -- 20 The Virtual Fields Method to Rubbers Under Medium Strain Rates -- 21 Inertial Impact Tests on Polymers for Inverse Parameter Identification -- 22 Full-field Identification Methods: Comparison of FEM Updating and Integrated DIC -- 23 Finite Element Stereo Digital Image Correlation Measure for Plate Model -- 24 Opportunities for Inverse Analysis in Dynamic Tensile Testing -- 25 Determination of the Dynamic Strain Hardening Parameters From Acceleration Fields -- 26 Imaged-based Inertial Impact Tests on an Aluminium Alloy -- 27 Inverse Material Characterization from 360-deg DIC Measurements on Steel Samples -- 28 Identification of Plastic Behaviour and Formability Limits of Aluminium Alloys at High Temperature. 1 Numerical Analysis of Stress Strain Fluctuations in Coiled Tubing During Deepwater Deployment -- 2 Determining SIFs Using DIC Considering Crack Closure and Blunting -- 3 Characterization of Sub-surface Damage During the Early Stage of Stress Corrosion Cracking by Nano-indentation -- 4 In-situ Tensile Test On 316H SENT Using Digital Image Correlation -- 5 Development of Glass Steel Bibeam Specimen for Study of Brittle Crack Path Stability -- 6 Construction Procedure of Spot Weld Failure Model for Crash Simulation -- 7 Characterization and Modeling of Polymeric Foam Under Multi-Axial Static and Dynamic Loading -- 8 Cyclic Loading Experiment for Characterizing Foam Viscoelastic Behavior -- 9 Compression Testing of Aged Low Density Flexible Polyurethane Foam -- 10 A Micromechanical Characterization of Critical State -- 11 Studying the Influence of the Reclaimed Asphalt Pavement RAP on Local Deformation Properties of Asphalt Mixtures -- 12 Measurement of Structural Stresses by Hole Drilling and DIC -- 13 Assessment of Wood Properties Under Compression and Drying at the Ring Scale with the Grid Method -- 14 Compression Testing of Silica Microspheres with Synchronized SEM Video -- 15 Viscoelastic Relaxation of HEMA DMAEMA Responsive Hydrogels -- 16 A Simulator to Optimize the Experimental Set-up for Elasto-plastic Material Characterization -- 17 Constitutive Response of AA7075 T6 Aluminum Alloy Sheet in Tensile and Shear Loading -- 18 Constitutive Model Calibration via Autonomous Multiaxial Experimentation -- 19 New Methodology for Steady-State Friction Measurements of Granular Materials Under Pressure -- 20 Effect of Specimen Holder on Static and Fatigue Tests on Titanium/Cement Interfaces -- 21 Mechanical Behavior and Aluminization of Cu21Zn6Al Alloys. 1 A Stochastic Multi-scale Model For Predicting MEMS Stiction Failure -- 2 Full-field Identification of Interfaces in Microelectronic Devices -- 3 Experimental Study of Microstructure and Mechanical Property of Cu30Zn6Al Alloys -- 4 Boundary Mechanics in Lath Martensite, Studied by Uni-axial Micro-tensile Tests -- 5 Evaluating Indent Pile-Up with Gold Films on Non-Plastically Deforming Substrates -- 6 Investigation of Size Effect Through In-Situ SEM Testing of Polystyrene Micropillars -- 7 Temperature and Thickness Dependent Mechanical Properties of Ti Ni Multilayer Thin Films -- 8 A Novel Microdevice for in Situ Study of Mechano-electrochemical Behavior with Controlled Temperatures -- 9 High-Rate Micro-Compression Using an Elastic Half-Space Loading Configuration -- 10 Broadband Electromechanical Spectroscopy A Method for Measuring the Dynamic Electromechanical Response of Ferroelectrics -- 11 Dynamics of Microscale Granular Crystals. 1 Mechanic Adaptability of Metastatic Cells in Colon Cancer -- 2 Nano mechanical Response of Red Blood Cells -- 3 Scale Dependence of the Mechanical Properties of Interfaces in Crustaceans Thin Films -- 4 Dynamic Analysis of Human Knee -- 5 Viscohyperelastic Calibration in Mechanical Characterization of Soft Matter -- 6 Contact Zone Evaluation of Dental Implants Using Digital Photoelasticity -- 7 Evolution of the Skin Microstructural Organization During a Mechanical Assay -- 8 A Numerical Study of a Biaxial Sollicitation to Set up the Displacement Field Measurement of ex Vivo Mouse Skin -- 9 Dynamic Polarization Microscopy for In Situ Measurements of Collagen Fiber Realignment During Impact -- 10 Self shifting Neutral Axis in Hierarchical Structured Natural Composites Bamboo -- 11 High speed Holography for In vivo Measurement of Acoustically Induced Motions of Mammalian Tympanic Membrane -- 12 Rheology of Soft and Rigid Micro Particles in Curved Microfluidic Channels -- 13 Microfluidic Approaches for Biomechanics of Red Blood Cells -- 14 Custom Indentation System for Mechanical Characterization of Soft Matter -- 15 Experimental Evaluation of Blast Loadings on the Ear and Head With and Without Hearing Protection Devices -- 16 A Mechano-Hydraulic Model of Intracranial Pressure Dynamics -- 17 Regional Variations in the Mechanical Strains of the Human Optic Nerve Head -- 18 Experimental Electromechanics of Red Blood Cells Using Dielectrophoresis-based Microfluidics -- 19 Microbuckling of Fibrous Matrices Enables Long Range Cell Mechanosensing -- 20 The Growth and Mechanical Properties of Abalone Nacre Mesolayer -- 21 Evaluation of Precise Optimal Cyclic Strain for Tenogenic Differentiation of MSCs -- 22 Effect of architecture on cell functions of electrospun fiber membrane -- 23 Controlling hESC-CM Cell Morphology on Patterned Substrates Over a Range of Stiffness -- 24 Cytoskeletal Perturbing Drugs and Their Effect on Cell Elasticity. 1 Mechanical and Tribological Properties of Scrap Rubber Reinforced with Al2O3 Fiber and TiO2 -- 2 Investigating Hemp Concrete Mechanical Properties Variability Due To Hemp Particles -- 3 Recycling of Scrap Aluminium (AA7075) Chips for Low Cost Composites -- 4 Scrap Rubber Based Composites Reinforced with Ceramic Oxides and Silica -- 5 Mechanical and Tribological Properties of Scrap Rubber Reinforced with Al2O3 Fiber, Aluminium and TiO2 -- 6 Thermo mechanical Investigation of Fused Deposition Modeling by Computational and Experimental Methods -- 7 Non Linear Contact Analysis of Self Supporting Lattice -- 8 Process Parameter Effects on Interlaminar Fracture Toughness of FDM Printed Coupons -- 9 Constitutive Equations for Severe Plastic Deformation Processes -- 10 Merging Experimental Evidence and Molecular Dynamics Theory to Develop Efficient Models of Solids Fracture -- 11 Comparison of Patch and Fully Encircled Bonded Composite Repair -- 12 Comparison of Composite Repair Performance on Drilled and Simulated Defects -- 13 Measuring how Overlap Affects the Strength of Composite Tubes in Bending Torsion -- 14 Thermal Cycling and Environmental Effect on Tensile Impact Behavior of Adhesive Single lap Joints for Fiber Metal Laminate -- 15 Design of Hybrid Composites from Scrap Aluminum Bronze Chips -- 16 Impact Response of Waste Poly Ethylene Terephthalate (PET) Composite Plate -- 17 Particles Reinforced Scrap Aluminum Based Composites by Combined Processing Sintering + Thixoforging -- 18 Recycle of Aluminium (A356) for Processing of New Composites Reinforced with Magnetic Nano Iron Oxide and Molybdenum -- 19 A New Multiscale Bioinspired Compliant Sensor -- 20 Effect of Microstructure on Mechanical Response of MAX Phases -- 21 Controlled Placement of Microcapsules in Polymeric Materials -- 22 Converse Magneto electric Coefficient of Composite Multiferroic Rings -- 23 In situ Sensing of Deformation and Damage in Nanocomposite Bonded Surrogate Energetic Materials -- 24 Quasi Static Characterization of Self Healing Dental Composites -- 25 Load Monitoring Using Surface Response to Excitation Method -- 26 Elevated Temperature Digital Image Correlation Using High Magnification Optical Microscopy -- 27 Design of Hybrid Composites from Scrap Aluminum Reinforced with (SiC+TiO2+Gr+Ti+B) -- 28 Manufacturing of Low Cost Composites with Porous Structures from Scrap Aluminium (AA2014) Chips -- 29 Development of Functionally Graded Nodular Cast Iron Reinforced with Recycled WC Particles -- 30 Aluminium Matrix Composites Reinforced by Nano Fe3O4 doped with TiO2 by Thermomechanical Process -- 31 Implementation of the Surface Response to Excitation Method for pipes -- 32 Thermal Methods for Evaluating Flows in Composite Materials A new Approach to Data Analysis -- 33 Characterising the Infrared Signature of Damaged Composites for Test Control -- 34 Thermoelastic Stress Analysis and Digital Image Correlation to Assess Composites -- 35 A Study on Mechanical Properties of Raw Sisal Polyester Composites -- 36 HPHT In Situ Strain Measurement of Polymer Composites for Oilfield Applications -- 37 Evaluation of Viscoelastic Characteristics of Polymer by Using Indentation Method. 1 Fatigue Damage Precursor Identification Using Nondestructive Evaluation Coupled with Electron Microscopy -- 2 Experimental Fracture Analysis of Tropical Species Using the Grid Method -- 3 Investigating the Effective Fracture Toughness of Heterogeneous Materials -- 4 Improved Hybrid Specimen for Vibration Bending Fatigue -- 5 Experimental Study of Residual Plastic Strain and Damages Development in Carbon Fiber Composite -- 6 Experimental Investigation of Strength of Curved Beam by Thin Ply Non Crimp Fabric Laminates -- 7 Role of Laminate Thickness on Sequential Dynamic Delamination of Curved [90/0] CFRP Composite Laminates -- 8 Application of eMMC Model to Fracture of Metal Sheets -- 9 Hydrolytic Degradation and its Effect on Mechanical Properties of HFPE II 52 Polyimide Preliminary Results -- 10 Mixed Mode and Mode II Fatigue Crack Growth in Woven Composites -- 11 Characterization of Fatigue Induced Damage Evolution in CFRPs Using DIC -- 12 Damage Characterization for Electronic Components Under Impact Loading -- 13 Dynamic Mode II Delamination in Through Thickness Reinforced Composites -- 14 Measurement of Bond Line Fracture Toughness in Adhesively Bonded Composite Structures by Nanoindentation -- 15 Experimental and Numerical Investigation of Novel Crack Stopper Concepts for Lightweight Foam Cored Sandwich Structures -- 16 Probabilistic Improvement of Crack Propagation Monitoring by Using Acoustic Emission -- 17 Failure Detection of Temporary Structures with Digital Image Correlation for Construction Safety Applications -- 18 Using Digital Image Correlation to Detect Cracking in Opalinus Shale -- 19 Early Detection Of Damage Mechanisms In Composites During Fatigue Tests -- 20 Implementing Noise Multi Frequency Stimulus and Realtime Analysis with Nonlinear Model Tracking. 1 Fatigue Behaviour of Stainless Steels A Multi Parametric Approach -- 2 Measurement of Mechanical Dissipation in SMAs by Infrared Thermography -- 3 The Effect of Microstructure on Energy Dissipation in 316L Stainless Steel -- 4 Large Area Nondestructive Evaluation of a Fatigue Loaded Composite Structure -- 5 Sensitivity Analysis of Hybrid Thermoelastic Techniques -- 6 Determining Stress Intensity Factors Using Hybrid Thermoelastic Analysis -- 7 Stress Analysis of a Finite Orthotropic Plate Containing an Elliptical Hole from Recorded Temperature Data -- 8 Using TSA to Identify Regions Having Developed Plastic Strain During Welding -- 9 Finite Element Modelling of a Series of Austenitic Steel 316L Weldments to Inform Thermoelastic Stress Analysis Residual Stress Assessment -- 10 Residual Stress Measurement of Full Scale Jet Engine Bearing Elements Using the Contour Method -- 11 ESPI Hole Drilling of Rings and Holes Using Cylindrical Hole Analysis -- 12 Preliminary Study on Residual Stress in FDM Parts -- 13 Predicting Residual Stress on X ray Tomographed Complex Bi Layer Geometries Using 3D Finite Element Analysis -- 14 Combining Hole Drilling and Ring Core Techniques -- 15 A Low Cost Residual Stress Measuring Instrument -- 16 Non destructive Internal Strain Measurement Using High Energy Synchrotron Radiation -- 17 Discussion on X Ray and HDM Residual Stress Measurements -- 18 Reducing Full Field Identification Cost by Using Quasi Newton Methods -- 19 Parameter Identification of Nonlinear Viscoelastic Material Model using Finite Element based Inverse Analysis -- 20 Stiffness Heterogeneity of Multiply Paperboard Examined with VFM -- 21 Rigid Body Motion Tolerance for Industrial Helical CT Measurements of Logs -- 22 Development and Experimental Validation of Thermally Stable Unimorph SMP Actuators Incorporating Transverse Curvature -- 23 Identification of constitutive model parameters in Hopkinson Bar tests. 1 How To Join Fiber Reinforced Composite Parts An Experimental Investigation -- 2 Analysis of a Composite Pi/T joint using an FE Model and DIC -- 3 5xxx Aluminum Sensitization and Application of Laminated Composite Patch Repairs -- 4 Investigation and Improvement of Composite T joints with Metallic Arrow pin Reinforcement -- 5 Review of Natural Joints and Bio inspired CFRP to Steel Joints -- 6 Fabrication of 3D Thermoplastic Sandwich Structures Utilizing Ultrasonic Spot Welding -- 7 Impact and Lap Shear Properties of Ultrasonically Spot Welded Composite Lap Joints -- 8 Numerical and Experimental Characterization of Hybrid Fastening System in Composite Joints -- 9 Application of Digital Image Correlation to the Thick Adherend Shear Test -- 10 Interfacial Strength of Thin Film Measurement by Laser Spallation -- 11 Joining of UHTC Composites Using Metallic Interlayer -- 12 Metal to Composite Structural Joining for Drivetrain Applications -- 13 Short term Preload Relaxation in Composite Bolted Joints Monitored with Reusable Optical Sensors. Dynamic Behavior of Materials, Volume 1 of the Proceedings of the 2016 SEM Annual Conference& Exposition on Experimental and Applied Mechanics, the first volume of ten from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Experimental Mechanics, including papers on: Quantitative Visualization Fracture & Fragmentation Dynamic Behavior of Low Impedance Materials Shock & Blast Dynamic Behavior of Composites Novel Testing Techniques Hybrid Experimental & Computational Methods Dynamic Behavior of Geo-materials General Material Behavior. Challenges in Mechanics of Time-Dependent Materials, Volume 2 of the Proceedings of the 2016 SEM Annual Conference& Exposition on Experimental and Applied Mechanics, the second volume of ten from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Experimental Mechanics, including papers in the following general technical research areas: Extreme Environments & Environmental Effects Structure-Function of Performance of PE Effects of Inhomogeneities & Interfaces Characterization Across Scales Mechanics of Energy & Energetic Materials Metallic Materials Viscoelasticity & Viscoplasticity. Advancement of Optical Methods in Experimental Mechanics, Volume 3 of the Proceedings of the 2016 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the third volume of ten from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on a wide range of optical methods ranging from traditional photoelasticity and interferometry to more recent DIC and DVC techniques, and includes papers in the following general technical research areas: Advances in Digital Image Correlation Challenging Applications of DIC Uncertainty Analysis & Improvements to DIC Accuracy Photoelasticity, Interferometry, & Moire Methods Applications of Stereovision Inverse Methods at High Strain Rates Inverse Methods in Plasticity. Experimental and Applied Mechanics, Volume 4 of the Proceedings of the 2016 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the fourth volume of ten from the Conference, brings together contributions to important areas of research and engineering. The collection presents early findings and case studies on a wide range of topics, including: Hybrid Experimental & Computational Techniques Advanced Experimental Mechanics Methods Integration of Models & Experiments Soft Materials Education & Research in Progress Applications . Micro-and Nanomechanics, Volume 5 of the Proceedings of the 2016 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the fifth volume of ten from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on a wide range of areas, including: MEMS: Materials & Interfaces Microscale & Microstructural Effects on Mechanical Behavior Novel Nano-scale Probes Nanoindentation & Beyond Nanomechanics Dynamic Micro/Nano Mechanics. Mechanics of Biological Systems and Materials, Volume 6 of the Proceedings of the 2016 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the sixth volume of ten from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on a wide range of areas, including: Soft Material Mechanics Bio-Engineering and Biomechanics Cells Mechanics Biomaterials and Mechanics Across Multiple Scales Biomechanics Biotechnologies Traumatic Brain Injury Mechanics. Mechanics of Composite, Hybrid, and Multifunctional Materials, Volume 7 of the Proceedings of the 2016 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the seventh volume of ten from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on a wide range of areas, including: Recycled-Constituent Composites Nano and Particulate Composites Damage Detection and Non-Destructive Evaluation of Composites Fracture and Fatigue Novel Developments in Composites Additive Manufacturing of Composites Mechanics of Graphene & Graphene Oxide Smart Materials Novel Developments in Composites Manufacturing and Joining of Composites. Fracture, Fatigue, Failure and Damage Evolution, Volume 8 of the Proceedings of the 2016 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the eighth volume of ten from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on a wide range of areas, including: In-situ Techniques for Fracture & Fatigue General Topics in Fracture & Fatigue Fracture & Fatigue of Composites Damage, Fracture, Fatigue & Durability Interfacial Effects in Fracture & Fatigue Damage Detection in Fracture & Fatigue. Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 9 of the Proceedings of the 2016 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the ninth volume of ten from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on a wide range of areas, including: Damage Analysis from Thermal Measurements Quantitative Visualization Stress Analysis from Thermal Measurements New Approaches to Residual Stress Measurement Residual Stress & Optical Methods Non-homogeneous Parameters Identification General Inverse Methods Residual Stress Measurement by X-Ray Diffraction. Joining Technologies for Composites and Dissimilar Materials, Volume 10 of the Proceedings of the 2016 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the tenth volume of ten from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on a wide range of areas, including: Composite Joints Non-Adhesive Bonding Adhesive Bonding Joining of Ceramic & Other Materials. Engineering SPR201701 MULTIVOLUMESX SzGeCERN Engineering CONFERENCE PROCEEDINGS Casem, Dan ed. Lamberson, Leslie ed. Kimberley, Jamie ed. Korach, Chad ed. Tekalur, Srinivasan ed. Zavattieri, Pablo ed. Yoshida, Sanichiro ed. Lamberti, Luciano ed. Sciammarella, Cesar ed. Ralph, W ed. Singh, Raman ed. Tandon, Gyaneshwar ed. Thakre, Piyush ed. Zhu, Yong ed. Zehnder, Alan ed. Carroll, Jay ed. Hazeli, Kavan ed. Berke, Ryan ed. Pataky, Garrett ed. Cavalli, Matthew ed. Beese, Alison ed. Xia, Shuman ed. Starman, La ed. Hay, Jennifer ed. Karanjgaokar, Nikhil ed. Quinn, Simon ed. Balandraud, Xavier ed. Cloud, Gary ed. Patterson, Eann ed. Backman, David ed. v.1 Dynamic behavior of materials v.2 Challenges in mechanics of time dependent materials v.3 Advancement of optical methods in experimental mechanics v.4 Experimental and applied mechanics v.5 Micro and nanomechanics v.6 Mechanics of biological systems and materials v.7 Mechanics of composite and multi-functional materials v.8 Fracture, fatigue, failure and damage evolution v.9 Residual stress, thermomechanics & infrared imaging, hybrid techniques and inverse problems v.10 Joining technologies for composites and dissimilar materials SPR n 201701 201701 42 PUBLIC https://catalogue.library.cern/legacy/2240860 PROCEEDINGS MIGRATED 2240855 SzGeCERN 20210422083904.0 9783319285115 print version 9783319285139 electronic version electronic version DOI 10.1007/978-3-319-28513-9 e-proceedings oai:cds.cern.ch:2240855 cerncds:CONF eng TA349-359 620.1 23 5th International Symposium on Experimental Mechanics (5-ISEM) and 9th Symposium on Optics in Industry Guanajuato, Mexico 17 - 21 Aug 2015 2015 guanajuato20150817 MX 20150821 20150817 Cham Springer 2017 ebook Conference proceedings of the Society for Experimental Mechanics series 2191-5644 TOC Martinez-Garcia Optical Imaging through Horizontal-Path Turbulence: A New Solution to a Difficult Problem -- Aluminum Strain Measurement by Beam Propagation -- The Technique of Laser-Induced Breakdown Spectroscopy for Determination of Heavy Metals in the Receiving Body of Water -- Applications of Laser Induced Breakdown Spectroscopy in the Identification of Bacteria -- Residual Stresses Measurement by the Hole-Drilling Technique and DSPI using the Integral Method with Displacement Coefficients -- On the separation of complete triaxial strain/stress profiles from diffraction experiments -- Quantification of slow mechanical displacements in metal samples by optical polarization phase shift DSPI -- Comparative analysis of optoelectronic properties of glucose for non-invasive monitoring -- Phase Shifting Interferometry using a coupled cyclic path interferometers -- Identification of microorganisms using digital holographic microscopy -- Noise reduction in off-axis digital holography reconstruction from two reconstruction distances based on Talbot effect -- Study of temperature distribution over a Stirling engine by using the Schlieren technique -- On Axis Fringe Projection -- Instrument for recording Purkinje images -- Ultrasonic Arc Maps and its potential application in non-destructive testing -- Phase-shifting generated by wavelength modulation by means of switching on-off a laser diode -- Index refraction measurements in liquid substances of full field using holographic interferometry -- Geometrical thickness measurement of thin films by a transmitted Gaussian beam -- Topography and color study of an object using fringe projection and colorimetry techniques -- Temperature measurement of a synthetic jet produced by a Helmholtz cavity -- Gates’ interferometer as fringe projection system for recovering 3D shapes -- Development of an automated Laser Induced Breakdown Spectroscopy system for compositional mapping of surfaces -- Artificial visual system used for dental fluorosis discrimination -- Inspection of Laser Ablated Transparent Conductive Oxide Thin Films by a Multifunction Optical Measurement System -- LIBS technique for identification of crude oils -- 3D Displacement Distribution Measurement Using Sampling Moire Method with Multiple Cameras -- Automatic Generation of Codes for Routine of CNC Machining Based on Three-Dimensional Information Obtained by Fringe Projection -- Automatic Generation of Movement Sequences to Robotic Arm Based on Three-Dimensional Data Obtained through Fringe Projection Technique -- Application of optomecatronic load cell for measuring work force and efforts in industrial machinery -- ASE Noise Attenuation for Signal at 1548.4 nm throught a Sagnac Interferometer using High-Birefingence Fiber which is Subjected to Temperature Changes -- Single-shot Phase shifting interferometry for microscopic measurements of non-birefringent transmissive phase samples -- Design of a customized myoelectric hand prosthesis -- Finite element static analysis simulation for a grain dispenser mechanism -- Controlling Bounce of Vacuum Circuit Breakers’ Contacts -- Experimental and Numerical Investigation of Effects of Fiber Orientation of Wood Stiffness -- Auto-calibration and micro-flow injection procedure based on automated hydrodynamic system for spectrophotometric determination of cobalt -- Mathematical Model to Predict the Stress Concentration Factor on a Notched Flat Bar in Axial Tension -- Mechanical implementation of Kinematic Synergy for multi-point grasping -- Cascaded ultra-low reflective fiber points for distributed sensing -- Object surface representation via NURBS and genetic algorithms with SBX -- Photo-Oxidation of Polystyrene Film Irradiated With UV-B -- Dynamic analysis of trawl doors applied in bottom trawls to catch shrimp -- Simulator of an Adaptive Optics System Using Matlab -- Design, development and validation of an Artificial Muscle Biomechanical Rig (AMBR) for Finite Element model validation -- Application of laser light on the development of equipment for the study of proteins -- Organic Solar Photovoltaic cells -- Fiber Bragg Gires-Tournois interferometer etalons as fiber sensor -- Cleaning of Tantalum capacitor electrode surface by laser in multipulse regime -- High quality polishing procedure of glass substrates: application in integrated optics. This book contains papers of the 5th International Symposium on Experimental Mechanics (5-ISEM) and the 9th Symposium on Optics in Industry (9-SOI), whose general theme is Emerging Challenges for Experimental Mechanics in Energy and Environmental Applications. These symposia are organized by Centro de Investigaciones en Optica (CIO) and Mexican Academy for Optics (AMO), under the sponsorship of the Society of Experimental Mechanics (SEM) and other national and international Organizations; Symposia are interdisciplinary forums for engineers, technicians, researchers and managers involved in all fields of Optics, Opto-mechatronics, Mechanics and Mechanical Engineering. · Addresses a broad readership including graduate and postgraduate students, researchers, and engineers working in experimental mechanics and in the application of optical methods · Covers a broad spectrum of topics highlighting the use of optical methods in experimental mechanics, energy, and in the environment. Engineering SPR201701 SzGeCERN Engineering SPR Energy systems SPR Mechanics SPR Mechanics, Applied SPR Theoretical and Applied Mechanics SPR Energy Systems CONFERENCE PROCEEDINGS Martínez-García, Amalia ed. Furlong, Cosme ed. Barrientos, Bernardino ed. Pryputniewicz, Ryszard ed. Emerging challenges for experimental mechanics in energy and environmental applications 5-ISEM 9-SOI SPR n 201701 201701 42 PUBLIC https://catalogue.library.cern/legacy/2240855 PROCEEDINGS MIGRATED 2240667 SzGeCERN 20210422083916.0 9789811021367 print version (v.1) 9789811021381 electronic version (v.1) electronic version (v.1) 9789811021398 print version (v.2) 9789811021411 electronic version (v.2) electronic version (v.2) DOI 10.1007/978-981-10-2138-1 e-proceedings (v.1) DOI 10.1007/978-981-10-2141-1 e-proceedings (v.2) oai:cds.cern.ch:2240667 cerncds:CONF eng GE195-199 GE196 338.927 23 National Conference on Sustainable Built Environment 2015 Roorkee, India 10 - 12 Apr 2015 2015 roorkee20150410 IN 20150412 20150410 National Conference on Sustainable Built Environment 2015 v.1 Understanding built environment v.2 From poverty, inequality to smart city Singapore Springer 2017 ebook Springer transactions in civil and environmental engineering 2363-7633 PART - 1: Land, Housing & Real Estate Accessibility Analysis to Healthcare Infrastructure in Hill Areas: A Case of Shimla -- Conservation of Cultural Heritage: The Necessities, Trends and the Analysis of Current Practices -- Climate Responsiveness of Wada Architecture -- Investigating the Architectural Manifestations of Path and Place in Sacred Sikh Architecture -- Neighbourhood Planning -- Interrelation of Public Open Spaces and Social Behavior: A Chronological Perspective -- Provision of Ecosystem Services through Urban Parks in Mumbai -- Patterns of Flow: The Spatial Dimension of Water in the Desert -- Assessing Impact of Sea Level Rise Along the Coastline of Mumbai City Using Geographic Information System -- Sustainable Landscaping in Cyclone Prone Areas: A Paradigm Shift -- Urban Regeneration and Social Sustainability of Indore City -- Vernacular Architecture: A Sustainable Approach -- Urban Regeneration and Sustainability: Importance of Sustainable Transport Systems in the Concept of Eco-City -- Bansal Haveli at Bathinda: Sustainability Paradigm. PART 2: Urban Regeneration & Sustainability Politics of Water and Development: Case of Pune -- The Implementation of Phulkari Embroidery Pattern in Interior Decoration -- Religion Interacts with New Urbanism Holistic City Anandpur Sahib -- A Study on Geometrical Motifs with Special Reference to Old Havelis of Saharanpur -- Assessment of Mughal Mural Decoration on Contemporary Architecture of Agra & Jaipur -- Gender And Space in the Paintings of Raja Ravi Verma & Amrita Sher-Gil -- The Idea of Infinite in Indian and Western Art Perceiving it through the Intangible Cultural Identity -- Local Residents’ Perception of Social and Economic Impacts of Urban Riverfront Development: Case of Sabarmati Riverfront Development Project. . PART 1: Poverty, Inequality and urban infrastructure -- Municipal Solid Waste Management: A Paradigm to Smart Cities -- Urban Poverty: Trends, Assessment and Inclusive Planning as a Solution -- Influence of Changing Real Estate Scenarios on Affordable Housing in India -- Market Situation of Unauthorized Colonies in East Delhi: A Case Study of Guru Ram Dass Nagar -- PART 2: Smart city and Eco-city -- Smart Concepts for Integrated Rurban Development of Historical Towns in India: Case of Panipat, Haryana -- Analysis of Major Parameters of Smart Cities and their Suitability in Indian Context -- Re-defining and Exploring the Smart-City Concept in Indian Perspective: Case study of Varanasi -- Smart Cities and Disaster -- Indian smart cities and their financing: A First Look -- Evaluating the Effect of Building Envelope on Thermal Performance of Houses in Lower Himachal Pradesh -- Eco City or Environmentally Sustainable Villages -- Potential of Energy Saving at the City Level through Energy Efficient Buildings: A Study in the Context of Ahmedabad City. This book is a comprehensive document visualizing the future of built environment from a multidisciplinary dimension, with special emphasis on the Indian scenario. The multidisciplinary focus would be helpful for the readers to cross-refer and understand others' perspectives. The text also includes case studies substantiating theoretical research. This method of composition helps the book to maintain rational balance among theory, research and its contextual application. The book comprises selected papers from the National Conference on Sustainable Built Environment. The chapters provide varied viewpoints on the core issues of urbanization and planning, especially in the economically diverse Indian market. This compilation would be of interest to students, researchers, professionals and policy makers. Engineering SPR201701 MULTIVOLUMESX SzGeCERN Engineering SPR Environment CONFERENCE PROCEEDINGS Seta, Fumihiko ed. Biswas, Arindam ed. Khare, Ajay ed. Sen, Joy ed. v.1 Understanding built environment v.2 From poverty, inequality to smart city SPR n 201701 201701 42 PUBLIC https://catalogue.library.cern/legacy/2240667 PROCEEDINGS MIGRATED 2240651 SzGeCERN 20210421212319.0 9789811026386 print version 9789811026393 electronic version electronic version DOI 10.1007/978-981-10-2639-3 ebook oai:cds.cern.ch:2240651 cerncds:BOOK eng TS1300-1865 677 23 Sustainability in the textile industry Singapore Springer 2017 ebook Textile science and clothing technology 2197-9863 Introduction -- Evaluation of Sustainability in Textile Industry -- Environmental Sustainability in Textile Industry -- Social Sustainability in Textile Industry -- Sustainable Practices in Textile Industry -- Sustainable Practices in Textile Industry -- Sustainable in Jute Industry. This book examines in detail key aspects of sustainability in the textile industry, especially environmental, social and economic sustainability in the textiles and clothing sector. It highlights the various faces and facets of sustainability and their implications for textiles and the clothing sector. Engineering SPR201701 SzGeCERN Engineering BOOK Muthu, Subramanian ed. SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240651 BOOK MIGRATED 2240598 SzGeCERN 20210421212332.0 9783319461632 print version 9783319461649 electronic version electronic version DOI 10.1007/978-3-319-46164-9 ebook oai:cds.cern.ch:2240598 cerncds:BOOK eng QA76.9.M35 620 23 Advances in complex societal, environmental and engineered systems Cham Springer 2017 ebook Nonlinear systems and complexity 2195-9994 18 Part I: Societal and Ecological Systems -- ProtestLab - A Computational Laboratory for Studying Street Protests -- A Generic Agent based Model of Historical Social Behavior Change -- Understanding Social Systems Research -- ForestSim: An Agent-Based Simulation for Bioenergy Sustainability Assessment -- Toward a Complex Concept of Sustainability -- Effects of Policy Decision-making on Riparian Corridors in a Semi-arid Desert: a Modeling Approach -- Part II: Approaches for Understanding, Modeling, Forecasting and Mastering Complex Systems -- Dialectical Systems Theory as a Way to Handle Complex Systems -- Reducing Complexity of Nonlinear Dynamic Systems -- A Few Reflections on the Quality of Emergence in Complex Collective Systems -- Link Structure Analysis of Urban street Networks for Delineating Traffic Impact Areas -- Logic, Mathematics and Consistency in Literature: Searching for Don Quixote’s Place -- Energy-Efficient Buildings as Complex Socio-Technical Systems: Approaches and Challenges -- Part III: Real-life examples -- Modelling Space-Time-Action Modularity and Evolution of Living Systems. This book addresses recent technological progress that has led to an increased complexity in many natural and artificial systems. The resulting complexity research due to the emergence of new properties and spatio-temporal interactions among a large number of system elements - and between the system and its environment - is the primary focus of this text. This volume is divided into three parts: Part one focuses on societal and ecological systems, Part two deals with approaches for understanding, modeling, predicting and mastering socio-technical systems, and Part three includes real-life examples. Each chapter has its own special features; it is a self-contained contribution of distinguished experts working on different fields of science and technology relevant to the study of complex systems. Advances in Complex Systems of Contemporary Reality: Societal, Environmental and Engineered Systems will provide postgraduate students, researchers and managers with qualitative and quantitative methods for handling the many features of complex contemporary reality. Engineering SPR201701 SzGeCERN Engineering BOOK Nemiche, Mohamed ed. Essaaidi, Mohammad ed. SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240598 BOOK MIGRATED 2240551 SzGeCERN 20210421212343.0 9789811020377 print version 9789811020391 electronic version electronic version DOI 10.1007/978-981-10-2039-1 ebook oai:cds.cern.ch:2240551 cerncds:BOOK eng TA1001-TA1280 HE331-HE380 629.04 23 Lei, Xiaoyan High speed railway track dynamics models, algorithms and applications Singapore Springer 2017 ebook Track dynamics research contents and related standards -- Analytic method for dynamic analysis of the track structure -- Fourier transform method for dynamic analysis of the track structure -- Analysis of vibration behavior of the elevated track structure -- Track irregularity power spectrum and numerical simulation -- Model for vertical dynamic analysis of the vehicle-track coupling system -- A cross iteration algorithm for vehicle-track coupling vibration analysis -- Moving element model and its algorithm -- Model and Algorithm for Track Element and Vehicle Element -- Dynamic Analysis of the Vehicle-Track Coupling System with Finite Elements in a Moving Frame of Reference -- Model for vertical dynamic analysis of the vehicle-track-subgrade-ground coupling system -- Analysis of Dynamic Behavior of the Train — Ballast Track — Subgrade Coupling System -- Analysis of Dynamic Behavior of the Train — Slab Track — Subgrade Coupling System -- Analysis of dynamic behavior of the transition section between ballast track and ballastless track -- Environmental vibration analysis induced by overlapping subways. This book systematically summarizes the latest research findings on high-speed railway track dynamics, made by the author and his research team over the past decade. It explores cutting-edge issues concerning the basic theory of high-speed railways, covering the dynamic theories, models, algorithms and engineering applications of the high-speed train and track coupling system. Presenting original concepts, systematic theories and advanced algorithms, the book places great emphasis on the precision and completeness of its content. The chapters are interrelated yet largely self-contained, allowing readers to either read through the book as a whole or focus on specific topics. It also combines theories with practice to effectively introduce readers to the latest research findings and developments in high-speed railway track dynamics. It offers a valuable resource for researchers, postgraduates and engineers in the fields of civil engineering, transportation, highway & railway engineering. Engineering SPR201701 SzGeCERN Engineering BOOK SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240551 BOOK MIGRATED 2240539 SzGeCERN 20210421212346.0 9789811009211 print version 9789811009235 electronic version electronic version DOI 10.1007/978-981-10-0923-5 ebook oai:cds.cern.ch:2240539 cerncds:BOOK eng R856-857 610.28 23 Devasena T Therapeutic and diagnostic nanomaterials Singapore Springer 2017 ebook SpringerBriefs in applied sciences and technology 2191-530X Diagnostic and therapeutic nanomaterials -- Multifunctional Nanoparticles -- Biomarkers -- Diagnostic and therapeutic Techniques -- Toxicity and risk assessment -- In vitro and in vivo applications of selected nanomaterials. This brief highlights nanoparticles used in the diagnosis and treatment of prominent diseases and toxic conditions. Ecofriendly methods which are ideal for the synthesis of medicinally valued nanoparticles are explained and the characteristic features of these particles projected. The role of these particles in the therapeutic field, and the induced biological changes in some diseases are discussed. The main focus is on inflammation, oxidative stress and cellular membrane integrity alterations. The effect of nanoparticles on these changes produced by various agents are highlighted using in vitro and in vivo models. The mechanism of nanoparticles in ameliorating the biological changes is supported by relevant images and data. Finally, the brief demonstrates recent developments on the use of nanoparticles in diagnosis or sensing of some biological materials and biologically hazardous environmental materials. Engineering SPR201701 SzGeCERN Engineering SPR Molecular biology SPR Molecular Medicine BOOK SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240539 BOOK MIGRATED 2240533 SzGeCERN 20210421212348.0 9784431560937 print version 9784431560951 electronic version electronic version DOI 10.1007/978-4-431-56095-1 ebook oai:cds.cern.ch:2240533 cerncds:BOOK eng R856-857 610.28 23 Bioelectrics Tokyo Springer 2017 ebook Preface -- Introduction -- Pulsed Power Technology -- Special Electromagnetic Agents: From Cold Plasma to Pulsed Electromagnetic Radiation -- Biological Responses -- Medical Applications -- Environmental Applications, Food and Biomass processing by Pulsed Electric Fields -- Index. This book focuses on bioelectrics, a new multidisciplinary field encompassing engineering and biology with applications to the medical, environmental, food, energy, and biotechnological fields. At present, 15 universities and institutes in Japan, the USA and the EU comprise the International Consortium of Bioelectrics, intended to advance this novel and important research field. This book will serve as an introductory resource for young scientists and also as a textbook for use by both undergraduate and graduate students – the world’s first such work solely devoted to bioelectrics. Engineering SPR201701 SzGeCERN Engineering SPR Medical microbiology SPR Environmental engineering SPR Environmental EngineeringBiotechnology SPR Medical Microbiology BOOK Akiyama, Hidenori ed. Heller, Richard ed. SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240533 BOOK MIGRATED 2240522 SzGeCERN 20210421212350.0 9783662532225 print version 9783662532249 electronic version electronic version DOI 10.1007/978-3-662-53224-9 ebook oai:cds.cern.ch:2240522 cerncds:BOOK eng QC1-999 23 530.1 Steinhauser, Martin Oliver Computational multiscale modeling of fluids and solids theory and applications 2nd ed. Berlin Springer 2017 ebook Part I Fundamentals -- Introduction -- Multiscale Computational Materials Science -- Mathematical and Physical Prerequisites -- Fundamentals of Numerical Simulation -- Part II Computational Methods on Multiscales -- Summary of Part I -- Computational Methods on Electronic/Atomistic Scale -- Computational Methods on Atomistic/Microscopic Scale -- Computational Methods on Microscopic/Mesoscopic Scale -- Perspectives in Multiscale Materials Modeling -- Further Reading -- Mathematical Definitions -- Sample code for the main routine of a MD simulation -- A Sample Makefile -- Tables of Physical Constants -- List of Algorithms -- Selected Solutions. The idea of the book is to provide a comprehensive overview of computational physics methods and techniques, that are used for materials modeling on different length and time scales. Each chapter first provides an overview of the basic physical principles which are the basis for the numerical and mathematical modeling on the respective length-scale. The book includes the micro-scale, the meso-scale and the macro-scale, and the chapters follow this classification. The book explains in detail many tricks of the trade of some of the most important methods and techniques that are used to simulate materials on the perspective levels of spatial and temporal resolution. Case studies are included to further illustrate some methods or theoretical considerations. Example applications for all techniques are provided, some of which are from the author’s own contributions to some of the research areas. The second edition has been expanded by new sections in computational models on meso/macroscopic scales for ocean and atmosphere dynamics. Numerous applications in environmental physics and geophysics had been added. Physics and astronomy SPR201701 SzGeCERN Other Fields of Physics BOOK 1st ed. 2007 1251561 edition 201701 SPR n 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240522 BOOK MIGRATED 2240488 SzGeCERN 20210421212358.0 9783319479156 print version 9783319479170 electronic version electronic version DOI 10.1007/978-3-319-47917-0 ebook oai:cds.cern.ch:2240488 cerncds:BOOK eng TA1-2040 624 23 Wentling, James Designing a place called home reordering the suburbs 2nd ed. Cham Springer 2017 ebook Housing yesterday -- Housing Today -- Community Planning and Design -- Siting and Lot patterns -- Floor plans and building image -- exterior details -- interior details -- multi-family housing -- manufactured housing -- towards more sustainable homes and communities -- . This insightful volume shares design ideas to help builders, planners and architects create mass-produced affordable housing that pushes suburban development in more sustainable, liveable directions. The author argues that improving the quality of design in our new homes and communities for greater resiliency, sustainability, and equality, we can build neighborhoods and communities where residents feel more connected t their homes and to one another. Through text, photographs and illustrations, the book reviews prototypical American housing design, then suggest ways to both learn from the past as well as adapt for new environmental imperatives, demographic changes and lifestyle needs. Written by a practicing architect with 25+ years of experience optimizing residential design, this pioneering approach to suburban building will inspire readers to view mass produced housing through a new, modern lens. Engineering SPR201701 SzGeCERN Engineering SPR Engines SPR Engine Technology BOOK SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240488 BOOK MIGRATED 2240476 SzGeCERN 20210421212401.0 9783319473215 print version 9783319473222 electronic version electronic version DOI 10.1007/978-3-319-47322-2 ebook oai:cds.cern.ch:2240476 cerncds:BOOK eng TK7800-8360 TK7874-7874.9 621.381 23 Sensors for everyday life environmental and food engineering Cham Springer 2017 ebook Smart sensors, measurement and instrumentation 2194-8402 23 Determination of NOx and Soot Concentrations Using a Multi-Wavelength Opacimeter -- Development of the Atomic Emission Spectroscopy System Using Helium-Microwave-Induced Plasma for Fine Particles on Environmental Monitoring -- Real-Time HVAC Sensor Monitoring and Automatic Fault Detection System -- High Sensitivity Optical Structures for Relative Humidity Sensing -- Oxygen Gas Sensing Technologies Application: A Comprehensive Review -- Application of Practical Nitrate Sensor Based on Electrochemical Impedance Spectroscopy. This book offers an up-to-date overview of the concepts, modeling, technical and technological details and practical applications of different types of sensors, and discusses the trends of next generation of sensors and systems for environmental and food engineering. This book is aimed at researchers, graduate students, academics and industry professionals working in the field of environmental and food engineering, environmental monitoring, precision agriculture and food quality control. Engineering SPR201701 SzGeCERN Engineering SPR Agriculture BOOK Mukhopadhyay, Subhas ed. Postolache, Octavian ed. Jayasundera, Krishanthi ed. Swain, Akshya ed. SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240476 BOOK MIGRATED 2240425 SzGeCERN 20210421212414.0 9783319446059 print version 9783319446066 electronic version electronic version DOI 10.1007/978-3-319-44606-6 ebook oai:cds.cern.ch:2240425 cerncds:BOOK eng QC174.7-175.36 621 23 Fieguth, Paul An introduction to complex systems society, ecology, and nonlinear dynamics Cham Springer 2017 ebook 1 Introduction -- 2 Global Warming and Climate Change -- Further Reading -- 3 Systems Theory -- 3.1 Systems & Boundaries -- 3.2 Systems & Thermodynamics.-3.3 Systems of Systems -- Case Study 3: Nutrient Flows, Irrigation, and Desertification -- Further Reading -- Sample Problems -- 4 Dynamic Systems -- 4.1 System State -- 4.2 Randomness -- 4.3 Analysis -- 4.3.1 Correlation -- 4.3.2 Stationarity -- 4.3.3 Transformations -- Case Study 4: Water Levels of the Oceans and Great Lakes -- Further Reading -- Sample Problems -- 5 Linear Systems -- 5.1 Linearity -- 5.2 Modes -- 5.3 System Coupling -- 5.4 Dynamics -- 5.5 Non-Normal Systems -- Case Study 5: System Decoupling -- Further Reading -- Sample Problems -- 6 Nonlinear Dynamic Systems – Uncoupled -- 6.1 Simple Dynamics -- 6.2 Bifurcations -- 6.3 Hysteresis and Catastrophes -- 6.4 System Behaviour near Folds -- 6.5 Overview -- Case Study 6: Climate and Hysteresis -- Further Reading -- Sample Problems -- 7 Nonlinear Dynamic Systems – Coupled.-7.1 Linearization -- 7.2 2D Nonlinear Systems -- 7.3 Limit Cycles and Bifurcations -- Case Study 7: Geysers, Earthquakes, and Limit Cycles -- Further Reading -- Sample Problems -- 8 Spatial Systems -- 8.1 PDEs -- 8.2 PDEs & Earth Systems -- 8.3 Discretization -- 8.4 Spatial Continuous-State Models -- 8.5 Spatial Discrete-State Models -- 8.6 Agent Models -- Case Study 8: Global circulation models -- Further Reading -- Sample Problems -- 9 Power Laws and Non-Gaussian Systems -- 9.1 The Gaussian Distribution 9.2 The Exponential Distribution -- 9.3 Heavy Tailed Distributions -- 9.4 Sources of Power Laws -- 9.5 Synthesis and Analysis of Power Laws -- Case Study 9: Power Laws in Social Systems -- Further Reading -- Sample Problems -- 10 Complex Systems -- 10.1 Spatial Nonlinear Models -- 10.2 Self-Organized Criticality -- 10.3 Emergence -- 10.4 Complex Systems of Systems -- Case Study 10: Complex Systems in Nature -- Further Reading -- Sample Problems -- 11 Observation & Inference -- 11.1 Forward Models -- 11.2 Remote Measurement -- 11.3 Resolution.-11.4 Inverse Problems -- Case Study 11A: Sensing— Synthetic Aperture Radar -- Case Study 11B: Inversion— Atmospheric Temperature -- Further Reading -- Sample Problems -- 12 Water.-12.1 Ocean Acidification -- 12.2 Ocean Garbage -- 12.3 Groundwater -- Case Study 12: Satellite Remote Sensing of the Ocean -- Further Reading -- Sample Problems -- 13 Concluding Thoughts -- Further Reading -- Part I Appendices -- Index. This undergraduate text explores a variety of large-scale phenomena - global warming, ice ages, water, poverty - and uses these case studies as a motivation to explore nonlinear dynamics, power-law statistics, and complex systems. Although the detailed mathematical descriptions of these topics can be challenging, the consequences of a system being nonlinear, power-law, or complex are in fact quite accessible. This book blends a tutorial approach to the mathematical aspects of complex systems together with a complementary narrative on the global/ecological/societal implications of such systems. Nearly all engineering undergraduate courses focus on mathematics and systems which are small scale, linear, and Gaussian. Unfortunately there is not a single large-scale ecological or social phenomenon that is scalar, linear, and Gaussian. This book offers students insights to better understand the large-scale problems facing the world and to realize that these cannot be solved by a single, narrow academic field or perspective. Instead, the book seeks to emphasize understanding, concepts, and ideas, in a way that is mathematically rigorous, so that the concepts do not feel vague, but not so technical that the mathematics get in the way. The book is intended for undergraduate students in a technical domain such as engineering, computer science, physics, mathematics, and environmental studies. Physics and astronomy SPR201701 SzGeCERN Other Fields of Physics SPR Physical geography SPR Earth System Sciences SPR Climate Change SPR Game Theory BOOK SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240425 BOOK MIGRATED 2240409 SzGeCERN 20210421212418.0 9783319429922 print version 9783319429939 electronic version electronic version DOI 10.1007/978-3-319-42993-9 ebook oai:cds.cern.ch:2240409 cerncds:BOOK eng Q342 006.3 23 Intelligence systems in environmental management theory and applications Cham Springer 2017 ebook Intelligent systems reference library 1868-4394 113 Waste Management -- Energy Management -- Sustainability -- Environmental Economics -- Land Use Planning -- Sustainable Transportation. This book offers a comprehensive reference guide to intelligence systems in environmental management. It provides readers with all the necessary tools for solving complex environmental problems, where classical techniques cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including ant colony, genetic algorithms, evolutionary algorithms, fuzzy multi-criteria decision making tools, particle swarm optimization, agent-based modelling, artificial neural networks, simulated annealing, Tabu search, fuzzy multi-objective optimization, fuzzy rules, support vector machines, fuzzy cognitive maps, cumulative belief degrees, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on complex environmental problems. Moreover, by extending all the main aspects of classical environmental solution techniques to its intelligent counterpart, the book presents a dynamic snapshot on the field that is expected to stimulate new directions and stimulate new ideas and developments. . Engineering SPR201701 SzGeCERN Engineering SPR Environmental Management BOOK Kahraman, Cengiz ed. Sari, İrem ed. SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240409 BOOK MIGRATED 2240405 SzGeCERN 20210421212419.0 9783319426846 print version 9783319426860 electronic version electronic version DOI 10.1007/978-3-319-42686-0 ebook oai:cds.cern.ch:2240405 cerncds:BOOK eng HT390-395 HT165.5-169.9 710 23 Urban water trajectories Cham Springer 2017 ebook Future city 1876-0899 6 1. Dividing the Waters: Urban Growth, City Life and Water Management in Amsterdam 1100-2000 -- 2. TOXI-CITY: Protecting World-Class Drinking Water -- 3. Reading Urban Futures Through Their Blue Infrastructure: Wetland Networks In Bangalore and Madurai, India -- 4. Framing Sustainable Urban Water Management: a Critical Analysis of Theory and Practice -- 5. Water Reuse Trajectories -- 6. Unfolding Urban Geographies of Water-Related Vulnerability and Inequalities: Recognising Risks in Knowledge Building in Lima, Peru -- 7. Multi-layered Trajectories of Water and Sanitation Poverty in Dar es Salaam -- 8. Business Incentives and Models for Sanitation Entrepreneurs to Provide Services to the Urban Poor in Africa -- 9. Contesting and Co-producing the Right to Water in Peri-urban Cochabamba -- 10. Water Remunicipalisation: Between Pendulum Swings and Paradigm Advocacy -- 11. Past, Present and Future Urban Water: The Challenges in Creating More Beneficial Trajectories -- 12. Water and the (All Too Easy) Promised City: a Critique of Urban Water Governance -- 13. Moulding Citizenship: Urban Water and the (Dis)appearing Kampungs. Water is an essential element in the future of cities. It shapes cities’ locations, form, ecology, prosperity and health. The changing nature of urbanisation, climate change, water scarcity, environmental values, globalisation and social justice mean that the models of provision of water services and infrastructure that have dominated for the past two centuries are increasingly infeasible. Conventional arrangements for understanding and managing water in cities are being subverted by a range of natural, technological, political, economic and social changes. The prognosis for water in cities remains unclear, and multiple visions and discourses are emerging to fill the space left by the certainty of nineteenth century urban water planning and engineering. This book documents a sample of those different trajectories, in terms of water transformations, option, services and politics. Water is a key element shaping urban form, economies and lifestyles, part of the ongoing transformation of cities. Cities are faced with a range of technical and policy options for future water systems. Water is an essential urban service, but models of provision remain highly contested with different visions for ownership of infrastructure, the scale of provision, and the level of service demanded by users. Water is a contentious political issue in the future of cities, serving different urban interests as power and water seem to flow in the same direction. Cities in Africa, Asia, Australia, Europe and South America provide case studies and emerging water challenges and responses. Comparison across different contexts demonstrates how the particular and the universal intersect in complex ways to generate new trajectories for urban water. Engineering SPR201701 SzGeCERN Engineering SPR Geography SPR Regional planning SPR Urban planning SPR City planning SPR Urban ecology (Biology) SPR LandscapeRegional and Urban Planning SPR Urbanism SPR Urban Ecology BOOK Bell, Sarah ed. Allen, Adriana ed. Hofmann, Pascale ed. Teh, Tse-Hui ed. SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240405 BOOK MIGRATED 2240404 SzGeCERN 20210421212419.0 9783319426242 print version 9783319426259 electronic version electronic version DOI 10.1007/978-3-319-42625-9 ebook oai:cds.cern.ch:2240404 cerncds:BOOK eng TK7876-7876.42 621.3 23 Fiber optic sensors current status and future possibilities Cham Springer 2017 ebook Smart sensors, measurement and instrumentation 2194-8402 21 Fiber optic sensors based on nano-films -- Lossy Mode Resonances based sensors -- Surface Plasmon Resonances based fiber optic sensors -- Plastic optical fiber biosensors -- Vapor based deposition techniques for optical fiber sensing -- Fiber optic sensors in biomedical applications -- Optical hyperspectral sensors -- Fiber optic sensors for radiation dosimetry -- Fiber optic gas sensors -- Structural health monitoring fiber optic sensors -- Distributed temperature sensors -- Respiratory diseases fiber optic based sensors -- Optical sensing based on photonic crystal structures -- Long Period grating based sensors -- Magnetic field fiber optic sensors -- Sensing at THz frecuencies -- Multimode Interference Fiber Sensors -- Fiber optics sensors based on multicore structures. This book describes important recent developments in fiber optic sensor technology and examines established and emerging applications in a broad range of fields and markets, including power engineering, chemical engineering, bioengineering, biomedical engineering, and environmental monitoring. Particular attention is devoted to niche applications where fiber optic sensors are or soon will be able to compete with conventional approaches. Beyond novel methods for the sensing of traditional parameters such as strain, temperature, and pressure, a variety of new ideas and concepts are proposed and explored. The significance of the advent of extended infrared sensors is discussed, and individual chapters focus on sensing at THz frequencies and optical sensing based on photonic crystal structures. Another important topic is the resonances generated when using thin films in conjunction with optical fibers, and the enormous potential of sensors based on lossy mode resonances, surface plasmon resonances, and long-range surface exciton polaritons. Detailed attention is also paid to fiber Bragg grating sensors and multimode interference sensors. Each chapter is written by an acknowledged expert in the subject under discussion. Engineering SPR201701 SzGeCERN Engineering BOOK Matias, Ignacio ed. Ikezawa, Satoshi ed. Corres, Jesus ed. SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240404 BOOK MIGRATED 2240397 SzGeCERN 20210421212421.0 9783319416175 print version 9783319416182 electronic version electronic version DOI 10.1007/978-3-319-41618-2 ebook oai:cds.cern.ch:2240397 cerncds:BOOK eng Q342 006.3 23 Bozhenyuk, Alexander Vitalievich Flows in networks under fuzzy conditions Cham Springer 2017 ebook Studies in fuzziness and soft computing 1434-9922 346 Introduction -- Flow Tasks In Networks In Crisp Conditions -- Maximum And Minimum Cost Flow Finding In Networks In Fuzzy Conditions -- Flow Tasks Solving In Dynamic Networks With Fuzzy Lower, Upper Flow Bounds And Transmission Costs. This book offers a comprehensive introduction to fuzzy methods for solving flow tasks in both transportation and networks. It analyzes the problems of minimum cost and maximum flow finding with fuzzy nonzero lower flow bounds, and describes solutions to minimum cost flow finding in a network with fuzzy arc capacities and transmission costs. After a concise introduction to flow theory and tasks, the book analyzes two important problems. The first is related to determining the maximum volume for cargo transportation in the presence of uncertain network parameters, such as environmental changes, measurement errors and repair work on the roads. These parameters are represented here as fuzzy triangular, trapezoidal numbers and intervals. The second problem concerns static and dynamic flow finding in networks under fuzzy conditions, and an effective method that takes into account the network’s transit parameters is presented here. All in all, the book provides readers with a practical reference guide to state-of-the art fuzzy methods for solving flow tasks and offers a valuable resource for all researchers and postgraduate students in the fields of network theory, fuzzy models and decision-making. . Engineering SPR201701 SzGeCERN Engineering BOOK Gerasimenko, Evgeniya Michailovna Kacprzyk, Janusz Rozenberg, Igor Naymovich SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240397 BOOK MIGRATED 2240393 SzGeCERN 20210421212422.0 9783319412153 print version 9783319412177 electronic version electronic version DOI 10.1007/978-3-319-41217-7 ebook oai:cds.cern.ch:2240393 cerncds:BOOK eng TA355 TA352-356 620 23 Whither turbulence and big data in the 21st century? Cham Springer 2017 ebook Part I HISTORICAL PERSPECTIVES -- 1 From Tennekes & Lumley to Townsend and to George a slow march to freedom -- 2 A 50 Year Retrospective and the Future -- Part II TURBULENT BOUNDARY LAYERS -- 3 Study of the streamwise evolution of turbulent boundary layers to high Reynolds numbers -- 4 Towards the direct numerical simulation of a self-similar adverse pressure gradient turbulent boundary layer flow -- 5 Analysis of velocity structures in a transitionally rough turbulent boundary -- 6 Streamwise relaxation of a shock perturbed turbulent -- Part III JETS -- 7 Turbulence and Data Analytics in the 21st Century The Round Free Jet -- 8 The Sound-field Produced by Clustered Rockets During Start up -- 9 Variable Viscosity Jets Entrainment and Mixing Process -- 10 POD Mode Robustness for the Turbulent Jet -- Part IV ENVIRONMENTAL FLOWS AND WIND ENERGY -- 11 Large Eddy Simulation of environmental flows from the laboratory-scale numerical experiments toward full-scale -- 12 Big data from Big experiments The WindEEE Dome -- 13 Visualizing Wind Farm Wakes Using SCADA Data Supplemental Analysis -- 14 Turbulent and Deterministic Stresses in the Near Wake of a Wind Turbine Array -- 15 Evaluation of Higher Order Moments and Isotropy in the Wake of a Wind Turbine Array -- Part V DATA MANIPULATION -- 16 Turbulent Flow Physics and Control The role of big data analyses tools -- 17 Data-driven methods in fluid dynamics Sparse classification from experimental data -- 18 Conversion of measured turbulence spectra from temporal to spatial domain -- 19 Effects of unsteady Coanda blowing on the wake and drag of a simplified blunt vehicle -- 20 Challenges for Large Eddy Simulation of Engineering Flows -- 21 Coarse Grained Simulation and Turbulent Material Mixing -- 22 Non-classical Exponential Decay Regimes in Multi-Scale Generated Isotropic Turbulence -- 23 A minimal flow unit for turbulence, combustion and astrophysics -- 24 Linear Stability Analysis of Compressible Channel Flow with Porous Walls -- 25 Dissipation and topological features conditioned by velocity level-crossings in wall turbulence.-Part VII- Four Perspectives On Big Data and The Turbulence Community -- 26 Cyberinfrastructure to Empower Scientific Research -- 27 Turbulence in the era of Big Data: Recent experiences with sharing large datasets -- 26 Cyberinfrastructure to Empower Scientific Research -- 27 Turbulence in the era of Big Data Recent experiences with sharing large datasets -- Public dissemination of raw turbulence data -- 29 Reacting LES@2030 Near Diskless and Near -- PART VIII-Discussion I-Challenges in Turbulence in the 21st Century – What Problems We Should Focus On in the Next 20 years? -- 30 -- Whither Turbulence and Big Data for the 21st Century-I -- Part IX-Discussion 2- Large Data Opportunities for Collaborations -- 31 Whither Turbulence and Big Data for the 21st Century-II. This volume provides a snapshot of the current and future trends in turbulence research across a range of disciplines. It provides an overview of the key challenges that face scientific and engineering communities in the context of huge databases of turbulence information currently being generated, yet poorly mined. These challenges include coherent structures and their control, wall turbulence and control, multi-scale turbulence, the impact of turbulence on energy generation and turbulence data manipulation strategies. The motivation for this volume is to assist the reader to make physical sense of these data deluges so as to inform both the research community as well as to advance practical outcomes from what is learned. Outcomes presented in this collection provide industry with information that impacts their activities, such as minimizing impact of wind farms, opportunities for understanding large scale wind events and large eddy simulation of the hydrodynamics of bays and lakes thereby increasing energy efficiencies, and minimizing emissions and noise from jet engines. Elucidates established, contemporary, and novel aspects of fluid turbulence - a ubiquitous yet poorly understood phenomena; Explores computer simulation of turbulence in the context of the emerging, unprecedented profusion of experimental data, which will need to be stewarded and archived; Examines a compendium of problems and issues that investigators can use to help formulate new promising research ideas; Makes the case for why funding agencies and scientists around the world need to lead a global effort to establish and steward large stores of turbulence data, rather than leaving them to individual researchers. Engineering SPR201701 SzGeCERN Engineering BOOK Pollard, Andrew ed. Castillo, Luciano ed. Danaila, Luminita ed. Glauser, Mark ed. SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240393 BOOK MIGRATED 2240371 SzGeCERN 20210421212427.0 9783319332000 print version 9783319332017 electronic version electronic version DOI 10.1007/978-3-319-33201-7 ebook oai:cds.cern.ch:2240371 cerncds:BOOK eng TK7888.4 621.3815 23 Smart sensors and systems innovations for medical, environmental, and IoT applications Cham Springer 2017 ebook Biomimetic Materials and Structures for Sensor Applications -- A Multi-modal CMOS Sensor Platform towards Personalized DNA Sequencing -- Circuit Design in mm-Scale Sensor Platform for Future IoT Applications -- Smart Sensor Microsystems: Application-Dependent Design & Integration Approaches -- Energy Efficient RRAM Crossbar-based Approximate Computing for Smart Cameras -- NVRAM-Assisted Optimization Techniques for Flash Memory Management in Embedded Sensor Nodes -- Artificially engineered compound eye sensing systems -- Intelligent Vision Processing Technology for Advanced Driver Assistance Systems -- Implantable optical neural interface -- Realtime programmable closed-loop stimulation/recording platforms for deep brain study -- Internet of Medical Things: the Next PC (personal care) Era -- Functional Nanofibers for Flexible Electronics -- Urine Microchip Sensing System -- Building a Practical Global Indoor Positioning System -- Proximity-based Federation of Smart Objects and their Application Framework -- Edge Computing for Cooperative Real-Time Controls using Geospatial Big Data -- Challenges of Application of ICT in Cattle Management -- Health Sensor Data Analysis for a Hospital and Developing Countries. This book describes the technology used for effective sensing of our physical world and intelligent processing techniques for sensed information, which are essential to the success of Internet of Things (IoT). The authors provide a multidisciplinary view of sensor technology from materials, process, circuits, and big data domains and showcase smart sensor systems in real applications including smart home, transportation, medical, environmental, agricultural, etc. Unlike earlier books on sensors, this book provides a “global” view on smart sensors covering abstraction levels from device, circuit, systems, and algorithms. Profiles active research on smart sensors based on CMOS microelectronics; Describes applications of sensors and sensor systems in cyber physical systems, the social information infrastructure in our modern world; Includes coverage of a variety of related information technologies supporting the application of sensors; Discusses the integration of computation, networking, actuation, databases, and various sensors, in order to embed smart sensor systems into actual social systems. Engineering SPR201701 SzGeCERN Engineering BOOK Kyung, Chong-Min ed. Yasuura, Hiroto ed. Liu, Yongpan ed. Lin, Youn-Long ed. SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240371 BOOK MIGRATED 2240367 SzGeCERN 20210421212428.0 9783319318936 print version 9783319318950 electronic version electronic version DOI 10.1007/978-3-319-31895-0 ebook oai:cds.cern.ch:2240367 cerncds:BOOK eng TL1-483 629.2 23 Automated driving safer and more efficient future driving Cham Springer 2017 ebook Part 1. Introduction -- 1. Introduction to automated driving -- 2. Privacy and security in autonomous vehicles -- 3. Automated driving from the view of technical standards -- Part 2. The importance of control for automated driving -- 4. Survey on control schemes for automated driving on highways -- 5. Path tracking for automated driving: a tutorial on control system formulations and ongoing research -- 6. Vehicle reference lane calculation for autonomous guidance control -- Part 3. Advances in environment sensing, sensor fusion, and perception -- 7. The role of multi-sensor environmental perception for automated driving -- 8. Galileo-based advanced driver assistance systems - key components and development -- 9. Digital maps for driving assistance systems and autonomous driving -- 10. The history – how it all began – radar sensors in cars -- Part 4. In-vehicle architectures and dependable power computing -- 11. System architecture and safety requirements for automated driving -- 12. Advanced system-level design for automated driving -- 13. Systems engineering and architecting for intelligent autonomous sys-tems -- 14. Open dependable power computing platform for automated driving -- Part 5. Active and functional safety in automated driving -- 15. Active safety towards highly automated driving -- 16. Functional safety of automated driving systems: Does ISO 26262 cover the challenges -- Part 6. Validation and testing of automated driving functions -- 17. The new role of road testing for the safety validation of automated vehicles -- 18. Validation of highly automated safe and secure systems -- 19. Testing and validating tactical behavior planning for automated driving -- 20. Safety performance assessment of assisted and automated driving in traffic: simulation as knowledge synthesis -- 21. From controllability to safety in use - safety assessment of driver assis-tance systems -- 22. Testing autonomous and highly configurable systems – challenges and feasible solutions -- Part 7. A sampling of automated driving research projects and initiatives -- 23. AdaptIVe -- 24. Drive Me -- 25. FUSE -- 26. AutoNet2013 -- 27. ARCHER -- 28. ASSUME -- 29. UFO – Ultraflat overrunable robot for experimental ADAS testing -- 30. ITS Corridor -- 31. European and national initiatives -- 32. ARTEMIS Industrial Association -- 33. ERTRAC -- 34. SafeTRANS -- 35. A3PS. The main topics of this book include advanced control, cognitive data processing, high performance computing, functional safety, and comprehensive validation. These topics are seen as technological bricks to drive forward automated driving. The current state of the art of automated vehicle research, development and innovation is given. The book also addresses industry-driven roadmaps for major new technology advances as well as collaborative European initiatives supporting the evolvement of automated driving. Various examples highlight the state of development of automated driving as well as the way forward. The book will be of interest to academics and researchers within engineering, graduate students, automotive engineers at OEMs and suppliers, ICT and software engineers, managers, and other decision-makers. Engineering SPR201701 SzGeCERN Engineering SPR Transportation engineering SPR Traffic engineering SPR Transportation Technology and Traffic Engineering BOOK Watzenig, Daniel ed. Horn, Martin ed. SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240367 BOOK MIGRATED 2240365 SzGeCERN 20210421212428.0 9783319303567 print version 9783319303574 electronic version electronic version DOI 10.1007/978-3-319-30357-4 ebook oai:cds.cern.ch:2240365 cerncds:BOOK eng TJ212-225 629.8 23 Nonlinear systems techniques for dynamical analysis and control Cham Springer 2017 ebook Lecture notes in control and information sciences 0170-8643 470 Introduction -- Part I: Nonlinear Control Systems -- New Results in Distributed Nonlinear Control of Autonomous Multi-Agents -- Controlled Invariant Distributions: How It All Started and Why It’s Still Alive -- Covergent Systems: Nonlinear Simplicity -- Part II: Synchronization in Networked Systems -- An Observer Looks at Synchronization: Revisited -- Synchronization and Emergent Behavior in Networks of Heterogeneous Systems: A Control Theory Perspective; Emergence of Oscillations in Networks of Time-Delay Coupled Internet Systems -- Control of Nonlinear Mechanical Systems -- Control of Underactuated Marine Vehicles in the Presence of Environmental Disturbances -- Position Control via Force Feedback for a Class of Standard Mechanical Systems in the Port-Hamiltonian Framework -- The Endogenous Configuration Space Approach: An Intersection of Robotics and Control Theory. This treatment of modern topics related to the control of nonlinear systems is a collection of contributions celebrating the work of Professor Henk Nijmeijer and honoring his 60th birthday. It addresses several topics that have been the core of Professor Nijmeijer’s work, namely: the control of nonlinear systems, geometric control theory, synchronization, coordinated control, convergent systems and the control of underactuated systems. The book presents recent advances in these areas, contributed by leading international researchers in systems and control. In addition to the theoretical questions treated in the text, particular attention is paid to a number of applications including (mobile) robotics, marine vehicles, neural dynamics and mechanical systems generally. This volume provides a broad picture of the analysis and control of nonlinear systems for scientists and engineers with an interest in the interdisciplinary field of systems and control theory. The reader will benefit from the expert participants’ ideas on important open problems with contributions that represent the state of the art in nonlinear control. Engineering SPR201701 SzGeCERN Engineering SPR Statistical physics SPR Control engineering SPR Control SPR Systems Theory, Control SPR Nonlinear Dynamics BOOK Wouw, Nathan ed. Lefeber, Erjen ed. Arteaga, Ines ed. SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240365 BOOK MIGRATED 2240344 SzGeCERN 20210421212433.0 9789811025068 print version 9789811025075 electronic version electronic version DOI 10.1007/978-981-10-2507-5 ebook oai:cds.cern.ch:2240344 cerncds:BOOK eng TH1-9745 690 23 Singh, Harvinder Steel fiber reinforced concrete behavior, modelling and design Singapore Springer 2017 ebook Springer transactions in civil and environmental engineering 2363-7633 Introduction -- Material Models -- Design of SFRC Flexural Members -- Design of SFRC member for shear -- Analysis and Design of SFRC slabs -- Applications and Construction Practice. This book discusses design aspects of steel fiber-reinforced concrete (SFRC) members, including the behavior of the SFRC and its modeling. It also examines the effect of various parameters governing the response of SFRC members in detail. Unlike other publications available in the form of guidelines, which mainly describe design methods based on experimental results, it describes the basic concepts and principles of designing structural members using SFRC as a structural material, predominantly subjected to flexure and shear. Although applications to special structures, such as bridges, retaining walls, tanks and silos are not specifically covered, the fundamental design concepts remain the same and can easily be extended to these elements. It introduces the principles and related theories for predicting the role of steel fibers in reinforcing concrete members concisely and logically, and presents various material models to predict the response of SFRC members in detail. These are then gradually extended to develop an analytical flexural model for the analysis and design of SFRC members. The lack of such a discussion is a major hindrance to the adoption of SFRC as a structural material in routine design practice. This book helps users appraise the role of fiber as reinforcement in concrete members used alone and/or along with conventional rebars. Applications to singly and doubly reinforced beams and slabs are illustrated with examples, using both SFRC and conventional reinforced concrete as a structural material. The influence of the addition of steel fibers on various mechanical properties of the SFRC members is discussed in detail, which is invaluable in helping designers and engineers create optimum designs. Lastly, it describes the generally accepted methods for specifying the steel fibers at the site along with the SFRC mixing methods, storage and transport and explains in detail methods to validate the adopted design. This book is useful to practicing engineers, researchers, and students. Engineering SPR201701 SzGeCERN Engineering BOOK SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240344 BOOK MIGRATED 2240337 SzGeCERN 20210421212435.0 9789811020612 print version 9789811020629 electronic version electronic version DOI 10.1007/978-981-10-2062-9 ebook oai:cds.cern.ch:2240337 cerncds:BOOK eng TA349-359 620.1 23 Sahoo, Sarmila Design aids for stiffened composite shells with cutouts Singapore Springer 2017 ebook Springer transactions in civil and environmental engineering 2363-7633 Chapter 1. Fundamental Consideration -- Chapter 2. Stiffened Cylindrical Shell with Cutout -- Chapter 3. Stiffened Hypar Shell with Cutout -- Chapter 4. Stiffened Conoidal Shell with Cutout -- Chapter 5. Stiffened Spherical Shell with Cutout -- Chapter 6. Stiffened Saddle Shell with Cutout -- Chapter 7. Stiffened Hyperbolic Paraboloid Shell with Cutout -- Chapter 8. Stiffened Elliptic Paraboloid Shell with Cutout. This book focuses on the free vibrations of graphite-epoxy laminated composite stiffened shells with cutout both in terms of the natural frequencies and mode shapes. The dynamic analysis of shell structures, which may have complex geometry and arbitrary loading and boundary conditions, is solved efficiently by the finite element method, even including cutouts in shells. The results may be readily used by practicing engineers dealing with stiffened composite shells with cutouts. Several shell forms viz. cylindrical shell, hypar shell, conoidal shell, spherical shell, saddle shell, hyperbolic paraboloidal shell and elliptic paraboloidal shell are considered in the book. The dynamic characteristics of stiffened composite shells with cutout are described in terms of the natural frequency and mode shapes. The size of the cutouts and their positions with respect to the shell centre are varied for different edge constraints of cross-ply and angle-ply laminated composite shells. The effects of these parametric variations on the fundamental frequencies and mode shapes are considered in detail. The information regarding the behavior of stiffened shells with cutouts for a wide spectrum of eccentricity and boundary conditions for cross ply and angle ply shells may be used as design aids for structural engineers. The book is a significant contribution to the existing literature from the point of view of both industrial importance and academic interest. Engineering SPR201701 SzGeCERN Engineering BOOK SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240337 BOOK MIGRATED 2240336 SzGeCERN 20210421212435.0 9789811020131 print version 9789811020148 electronic version electronic version DOI 10.1007/978-981-10-2014-8 ebook oai:cds.cern.ch:2240336 cerncds:BOOK eng TP248.3 660.63 23 Ladewig, Bradley Fundamentals of membrane bioreactors materials, systems and membrane fouling Singapore Springer 2017 ebook Springer transactions in civil and environmental engineering 2363-7633 Introduction to Membrane Bioreactors -- Fundamentals of Membrane Processes -- Fouling in Membrane Bioreactors -- Surface Modification of Polyethersulfone Membranes -- Membrane Characterization Techniques. This book provides a critical, carefully researched, up-to-date summary of membranes for membrane bioreactors. It presents a comprehensive and self-contained outline of the fundamentals of membrane bioreactors, especially their relevance as an advanced water treatment technology. This outline helps to bring the technology to the readers’ attention, and positions the critical topic of membrane fouling as one of the key impediments to its more widescale adoption. The target readership includes researchers and industrial practitioners with an interest in membrane bioreactors. Engineering SPR201701 SzGeCERN Engineering BOOK Al-Shaeli, Muayad Nadhim Zemam SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240336 BOOK MIGRATED 2240334 SzGeCERN 20210421212436.0 9789811019319 print version 9789811019326 electronic version electronic version DOI 10.1007/978-981-10-1932-6 ebook oai:cds.cern.ch:2240334 cerncds:BOOK eng TA703-705.4 TA775-787 TC1-1800 624.15 23 Sanyal, Tapobrata Jute geotextiles and their applications in civil engineering Singapore Springer 2017 ebook Developments in geotechnical engineering 2364-5156 Chapter I: Introducing Geotextiles -- Chapter II: Jute, Jute Fibre & Jute Yarn -- Chapter III: Jute Geotextiles—Its Types & Functions -- Chapter IV: Soil Basics -- Chapter V: Control of Soil Erosion caused by Rain & Wind with Jute Geotextiles -- Chapter VI: Strengthening of Road Sub-Grade with Jute Geotextiles -- Chapter VII: Controlling River Bank Erosion with Jute Geotextiles -- Chapter VIII: Stabilizing Embankments with Jute Geotextiles -- Chapter IX: Management of Settlement of Railway Tracks -- Chapter X: Consolidation of Soft Soil with Pre-Fabricated Vertical Jute Drain -- Chapter XI: Jute Geotextile Standards, Properties & Test Methods -- Chapter XII: Environmental Aspects -- Chapter XIII: Potentially Important Jute Geo-Textiles -- Chapter XIV: Transportation, Storage and Handling of Jute Geotextiles -- Chapter XV: Prospective Applications of JGT & Its Variants -- Chapter XVI: Economical and Environmental Advantages of JGT in Different Applications -- Chapter XVII: Applications of JGT & Few Case Studies -- Chapter XVIII: Future of Jute Geotextiles -- Bibliography & Index. This book presents a first-of-its-kind exposition on the emerging technology of jute fibre geotextiles. The book covers the characteristics of jute fibre and jute yarns, types and functions of jute geotextiles, and the mechanism of control of surficial soil with jute geotextiles. The content also includes applications such as the mechanisms of functioning of jute geotextiles in strengthening road sub-grade and controlling river bank erosion, stabilization of earthen embankments, management of settlement of railway tracks, and consolidation of soft soil by use of pre-fabricated vertical jute drains (PVJD). Geotextile standards, properties and test methods, variants of jute geotextiles, economical and environmental advantages in different applications are covered along with a few case studies. A chapter on soil basics is included to enable clearer understanding of soil mechanisms. The book can be used as a reference work or as primary or supporting text for graduate and professional coursework. It will also prove useful to researchers and practicing engineers looking for a comprehensive treatise on jute geotextiles. Engineering SPR201701 SzGeCERN Engineering SPR Textile industry SPR Textile Engineering BOOK SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240334 BOOK MIGRATED 2240333 SzGeCERN 20210421212436.0 9789811019289 print version 9789811019302 electronic version electronic version DOI 10.1007/978-981-10-1930-2 ebook oai:cds.cern.ch:2240333 cerncds:BOOK eng TA1-2040 624 23 Sustainability issues in civil engineering Singapore Springer 2017 ebook Springer transactions in civil and environmental engineering 2363-7633 Part 1: Sustainable Transportation Systems -- Sustainable Usage of Construction and Demolition Materials in Roads and Footpaths -- A Few Dilemmas Pertaining Transportation Infrastructures and their Sustainability -- Bitumen Stabilized Materials for Sustainable Road Infrastructures -- Sustainable Transportation for Indian Cities: Role of Intelligent Transportation Systems -- Economic Sustainability Considerations in Asphalt Pavement Design -- Sustainable Design of Indian Rural Roads with Reclaimed Asphalt Materials -- Sustainability of Railway Tracks -- Use of System Approach To Identify, Evaluate and Implement Sustainable Policies and Practices in the Road Construction Industry -- Part 2: Sustainable Geosystems -- Resilient and Sustainable Geotechnical Solution: Lessons Learned from the 2011 Great East Japan Disaster -- Reinforced Piled Embankments for Sustainable Infrastructure Development -- Experimental Modeling of Unsaturated Intermediate Geomaterials for Sustainable Design of Geotechnical Infrastructure -- Underground Space for Sustainable Urban Development: Experiences from Urban Underground Metro Constructions in India -- Sand - Tire Chips Mixtures for Sustainable Geo-Engineering Applications -- Evaluation of Bioreactor Landfill As Sustainable Land Disposal Method -- <part 3:="" sustainable="" environmental="" and="" water="" resources -- Assessment of Landfill Sustainability -- Approaches To Selecting Sustainable Technologies for Remediation of Contaminated Sites: Case Studies -- Disinfection of Water using Pulsed Power Technique:Effect of System Parameters and Kinetic Study -- Part 4: Sustainable Structural Systems -- Pre-Engineered Bamboo Structures: A Step Towards Sustainable Construction -- Sustainability- way forward in Architectural Engineering -- Harnessing Sustainable Solutions through Challenges – A Case Study of World Record Long-Distance Pumping of Concrete. This compilation on sustainability issues in civil engineering comprises contributions from international experts who have been working in the area of sustainability in civil engineering. Many of the contributions have been presented as keynote lectures at the International Conference on Sustainable Civil Infrastructure (ICSCI) held in Hyderabad, India. The book has been divided into core themes of Sustainable Transportation Systems, Sustainable Geosystems, Sustainable Environmental and Water Resources and Sustainable Structural Systems. Use of sustainability principles in engineering has become an important component of the process of design and in this context, design and analysis approaches in civil engineering are being reexamined to incorporate the principles of sustainable designs and construction in practice. Developing economies are on the threshold of rapid infrastructure growth and there is a need to compile the developments in various branches of civil engineering and highlight the issues. It is this need that prompted the composition of this book. The contents of this book will be useful to students, professionals, and researchers working on sustainability related problems in civil engineering. The book also provides a perspective on sustainability for practicing civil engineers who are not directly researching the problems but are affected by the concerns in the course of their profession. The book can also serve to highlight to policy makers and governing bodies the need to have a mandate for sustainable infrastructural development. Engineering SPR201701 SzGeCERN Engineering SPR Hydrology SPR HydrologyWater Resources BOOK Babu, GL ed. Saride, Sireesh ed. Basha, B ed. SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240333 BOOK MIGRATED 2240293 SzGeCERN 20210421212446.0 9783319456102 print version 9783319456126 electronic version electronic version DOI 10.1007/978-3-319-45612-6 ebook oai:cds.cern.ch:2240293 cerncds:BOOK eng QC174.7-175.36 621 23 Avalanches in functional materials and geophysics Cham Springer 2017 ebook Understanding complex systems 1860-0832 Statistical mechanics perspective on earthquakes -- Mean-field approach to avalanches -- From labquakes in porous materials to earthquakes -- Rocks and earthquakes -- Modeling avalanches in martensites -- Experiments on pinning in ferroelastics -- Numerical simulation of avalanches in ferroelastics -- Microstructural length scales and crackling noise -- Avalanches in fracture -- Avalanches in metallic glasses -- Shear banding in amorphous solids -- Yield and irreversibility in amorphous solids -- Characterization of granular, porous and cellular materials -- Avalanches in fluid imbibition. This book provides the state-of-the art of the present understanding of avalanche phenomena in both functional materials and geophysics. The main emphasis of the book is analyzing these apparently different problems within the common perspective of out-of-equilibrium phenomena displaying spatial and temporal complexity that occur in a broad range of scales. Many systems, when subjected to an external force, respond intermittently in the form of avalanches that often span over a wide range of sizes, energies and durations. This is often related to a class of critical behavior characterized by the absence of characteristic scales. Typical examples are magnetization processes, plastic deformation and failure occuring in functional materials. These phenomena share many similarities with seismicity arising from the earth crust failure due to stresses that originate from plate tectonics. Physics and astronomy SPR201701 SzGeCERN Other Fields of Physics SPR Geophysics SPR GeophysicsGeodesy SPR Geophysics and Environmental Physics BOOK Salje, Ekhard ed. Saxena, Avadh ed. Planes, Antoni ed. SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240293 BOOK MIGRATED 2240292 SzGeCERN 20210421212446.0 9783319449074 print version 9783319449098 electronic version electronic version DOI 10.1007/978-3-319-44909-8 ebook oai:cds.cern.ch:2240292 cerncds:BOOK eng TA177.4-185 658.5 23 Green and lean management Cham Springer 2017 ebook Management and industrial engineering 2365-0532 Introduction: Challenges Organizational Management Faces -- The Green Side: Methodologies for a more Sustainable Management -- The Lean Side: Strategies for Cost and Production Time Reductions -- Synergetic Effects of Green and Lean Management -- Examples from Industry and Academia. This book focusses on the challenges and changes organizational management faces in an era when the need to develop environmentally aware processes meets high levels of competition. It covers the synergetic effects, how re-use, recycling, waste reduction, and other sustainable production strategies can add value, low costs and time of production. Sustainable business behavior is not only an environmental perspective on management, but more and more contains an organizational perspective. Taking into account these issues, green and lean management appears as the way managers can drive their employees to continuously improve the management processes that add value to the organization and costumers. This book provides information on principles, strategies, models, and applications of green and lean management, and at the same time communicates the latest research activity relating to this scientific field world-wide. Engineering SPR201701 SzGeCERN Engineering BOOK Machado, Carolina ed. Davim, J ed. SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240292 BOOK MIGRATED 2240287 SzGeCERN 20210421212447.0 9783319443102 print version 9783319443119 electronic version electronic version DOI 10.1007/978-3-319-44311-9 ebook oai:cds.cern.ch:2240287 cerncds:BOOK eng T-TX 600 23 Genta, Giancarlo Next stop Mars the why, how, and when of human missions Cham Springer 2017 ebook Springer Praxis books Preface -- 1: Half a century of projects -- 2: Reasons for human Mars Exploration -- 3: Mars and its satellites -- 4: Space environment and radiations -- 5: Human aspects -- 6: Interplanetary journey to Mars -- 7: Mission design -- 8: The outpost on Mars -- 9: Mobility on Mars -- 10: The ground segment -- 11: Timeframe and roadmap -- 12: A look to a more distant future -- 13: Example missions -- 14: Conclusions -- References -- Appendices. This book covers the possible manned mission to Mars first discussed in the 1950s and still a topic of much debate, addressing historic and future plans to visit the Red Planet. Considering the environmental dangers and the engineering and design needed for a successful trip, it covers every aspect of a possible mission and outpost. The chapters explain the motivations behind the plan to go to Mars, as well as the physical factors that astronauts on manned missions will face on Mars and in transit. The author provides a comprehensive exposure to the infrastructure needs on Mars itself, covering an array of facilities including power sources, as well as addressing earth-based communication networks that will be necessary. Mechanisms for return to Earth are also addressed. As the reality of a manned Mars voyage becomes more concrete, the details are still largely up in the air. This book presents an overview of proposed approaches past, present, and future, both from NASA and, increasingly, from other space agencies and private companies. It clearly displays the challenges and the ingenious solutions involved in reaching Mars with human explorers. Physics and astronomy SPR201701 SzGeCERN Astrophysics and Astronomy BOOK SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240287 BOOK MIGRATED 2240271 SzGeCERN 20210421212451.0 9783319410203 print version 9783319410227 electronic version electronic version DOI 10.1007/978-3-319-41022-7 ebook oai:cds.cern.ch:2240271 cerncds:BOOK eng TJ807-830 621.042 23 Peri-urban areas and food-energy-water nexus sustainability and resilience strategies in the age of climate change Cham Springer 2017 ebook Springer tracts in civil engineering 2366-259x Climate policies and strategies in the European Union -- Nexus approach to Disaster Risk Reduction, Climate Adaptation and Ecosystem Management: new paths for a Sustainable and Resilient Urban Development -- Function and values of peri-urban areas: a multifunctional perspective from the EU to Lombardy Region policies -- Urban-rural partnerships and governance of peri-urban areas in a European perspective. Towards regenerative regions -- Qualifying decision-making through strategic environmental assessment: advancing the resilience of peri-urban areas -- Services, values and functions of peri-urban areas in a NEXUS approach -- NEXUS services from a territorial perspective: interactions and trade-offs -- Flood risk management and the nexus approach: a preliminary conceptual overview based on case studies -- NEXUS and disaster prevention: what can we learn from the Genevan urban area? -- Renaturalizing riverbanks and making space for the river: coupling ecological concerns and risk prevention measures -- Exploring the water-food-energy and climate nexus: insights from the Moroccan Draa Valley -- Peri-urban/peri-rural areas: identities, values and strategies -- Local food chain: multi-stakeholders polices in Dutch and European polices -- Urban-rural partnerships in peri-urban areas: the non-profit association role -- Between city and countryside: changing nexus in the urban phenomenon of Rome -- Energy flows in peri-urban areas -- Rethinking energies in peri-urban areas: potentiality and action criteria -- Strategies to reduce the use of fossil fuels in the Lombardy Region -- Bioregion and Eco-Efficiency. . This book explores the nexus among food, energy and water in peri-urban areas, demonstrating how relevant this nexus is for environmental sustainability. In particular it examines the effective management of the nexus in the face of the risks and trade-offs of mitigation policies, and as a mean to create resilience to climate change. The book delineates strategies and actions necessary to develop and protect our natural resources and improve the functionality of the nexus, such as: integrated management of the major resources that characterize the metabolism of a city, stronger coordination among stakeholders who often weight differently the services that are relevant to their individual concerns, integration of efforts towards environmental protection, adaptation to and prevention of climate change and disaster risks mitigation. Engineering SPR201701 SzGeCERN Engineering SPR Energy SPR Environmental management SPR Climate change SPR Natural disasters SPR Climate ChangeClimate Change Impacts SPR Water PolicyWater GovernanceWater Management SPR Natural Hazards BOOK Colucci, Angela ed. Magoni, Marcello ed. Menoni, Scira ed. SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240271 BOOK MIGRATED 2240269 SzGeCERN 20210421212451.0 9783319402765 print version 9783319402772 electronic version electronic version DOI 10.1007/978-3-319-40277-2 ebook oai:cds.cern.ch:2240269 cerncds:BOOK eng TL1-483 629.2 23 Egede, Patricia Environmental assessment of lightweight electric vehicles Cham Springer 2017 ebook Sustainable production, life cycle engineering and management 2194-0541 Lightweight Electric Vehicles -- Electric Vehicles, Lightweight Design and Environmental Impacts -- State of Research on the Environmental Assessment of Electric and Lightweight Vehicles -- Concept for the Environmental Assessment of Lightweight Electric Vehicles -- Case studies on the comparison of (lightweight) electric vehicles with conventional and reference electric vehicles -- Summary, Critical Review and Outlook. This monograph adresses the challenge of the environmental assessment of leightweight electric vehicles. It poses the question whether the use of lightweight materials in electric vehicles can reduce the vehicles’ environmental impact and compares the environmental performance of a lightweight electric vehicle (LEV) to other types of vehicles. The topical approach focuses on methods from life cycle assessment (LCA), and the book concludes with a comprehensive concept on the environmental assessment of LEVs. The target audience primarily comprises LCA practitioners from research institutes and industry, but it may also be beneficial for graduate students specializing in the field of environmental assessment. Engineering SPR201701 SzGeCERN Engineering SPR Energy policy SPR Energy and state SPR Automobile industry and trade SPR Automotive Industry SPR Energy Policy, Economics and Management BOOK SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240269 BOOK MIGRATED 2240262 SzGeCERN 20210421212453.0 9783319317465 print version 9783319317472 electronic version electronic version DOI 10.1007/978-3-319-31747-2 ebook oai:cds.cern.ch:2240262 cerncds:BOOK eng TK1001-1841 621.042 23 Overhead lines Cham Springer 2017 ebook CIGRE green books 2367-2625 Introduction -- History of Overhead Lines in Cigre -- Planning and Management Concepts -- Electrical Design -- Structural and Mechanical Design -- Environmental Issues -- Overhead Lines and Weather -- Conductors -- Fittings -- Conductor Motions -- Insulators -- Supports -- Foundations -- Overall Design -- Construction -- Maintenance -- Asset Management -- Uprating and Upgrading -- Overhead Lines and Underground Cables. . . Engineering SPR201701 SzGeCERN Engineering SPR Transportation SPR Electric power production SPR Power electronics SPR Energy Technology SPR Power Electronics, Electrical Machines and Networks BOOK Papailiou, Konstantin ed. SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240262 BOOK MIGRATED 2240259 SzGeCERN 20210421212453.0 9783319277974 print version 9783319277998 electronic version electronic version DOI 10.1007/978-3-319-27799-8 ebook oai:cds.cern.ch:2240259 cerncds:BOOK eng T55.4-60.8 670 23 Value networks in manufacturing sustainability and performance excellence Cham Springer 2017 ebook Springer series in advanced manufacturing 1860-5168 Introduction -- Governance Models -- Business Modelling -- Life-Cycle Based Sustainable Solution Development -- Performance Management -- Industrial Cases -- Conclusion. This book highlights innovative solutions together with various techniques and methods that can help support the manufacturing sector to excel in economic, social, and environmental terms in networked business environments. The book also furthers understanding of sustainable manufacturing from the perspective of value creation in manufacturing networks, by capitalizing on the outcomes of the European ‘Sustainable Value Creation in Manufacturing Networks’ project. New dynamics and uncertainties in modern markets call for innovative solutions in the global manufacturing sector. While the manufacturing sector is traditionally driven by technology, it also requires other managerial and organizational solutions in terms of network governance, business models, sustainable solution development for products and services, performance management portals, etc., which can provide major competitive advantages for companies. At the same time, the manufacturing industry is subject to a change process, where business networks play a major role in value-creating processes. By far the biggest challenge in this context is making value creation a sustainable process where economic, social, and environmental demands are met. Managing product and service-related business operations in manufacturing networks thus brings different challenges that cannot purely be resolved using traditional methods, and techniques. This book is an outcome of a European project funded by the European Commission, and performed by a dedicated R&D consortium comprised of some leading Research institutions and Industrial partners. Engineering SPR201701 SzGeCERN Engineering SPR Production management SPR Globalization SPR Markets SPR Industrial engineering SPR Production engineering SPR Industrial and Production Engineering SPR Operations Management SPR Emerging MarketsGlobalization BOOK Liyanage, Jayantha ed. Uusitalo, Teuvo ed. SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240259 BOOK MIGRATED 2240255 SzGeCERN 20210421212454.0 9783319256566 print version 9783319256580 electronic version electronic version DOI 10.1007/978-3-319-25658-0 ebook oai:cds.cern.ch:2240255 cerncds:BOOK eng QC1-999 621 23 Participatory sensing, opinions and collective awareness Cham Springer 2017 ebook Understanding complex systems 1860-0832 Part I New Sensing Technologies for Societies and Environment -- Part II Citizen Science, Participatory Sensing and Social Computation -- Part III Collective Awareness, Learning and Decision Making -- Appendix: Software and Hardware Tools. This book introduces and reviews recent advances in the field in a comprehensive and non-technical way by focusing on the potential of emerging citizen-science and social-computation frameworks, coupled with the latest theoretical and modeling tools developed by physicists, mathematicians, computer and social scientists to analyse, interpret and visualize complex data sets. There is overwhelming evidence that the current organisation of our economies and societies is seriously damaging biological ecosystems and human living conditions in the short term, with potentially catastrophic effects in the long term. The need to re-organise the daily activities with the greatest impact – energy consumption, transport, housing – towards a more efficient and sustainable development model has recently been raised in the public debate on several global, environmental issues. Above all, this requires the mismatch between global, societal and individual needs to be addressed. Recent advances in Information and Communication Technologies (ICT) can trigger important transitions at the individual and collective level to achieve this aim. Based on the findings of the collaborative research network EveryAware the following developments among the emerging ICT technologies are discussed in depth in this volume: • Participatory sensing – where ICT development is pushed to the level where it can support informed action at the hyperlocal scale, providing capabilities for environmental monitoring, data aggregation and mining, as well as information presentation and sharing. • Web gaming, social computing and internet-mediated collaboration – where the Web will continue to acquire the status of an infrastructure for social computing, allowing users’ cognitive abilities to be coordinated in online communities, and steering the collective action towards predefined goals. • Collective awareness and decision-making – where the access to both personal and community data, collected by users, processed with suitable analysis tools, and re-presented in an appropriate format by usable communication interfaces leads to a bottom-up development of collective social strategies. Physics and astronomy SPR201701 SzGeCERN Other Fields of Physics SPR Application software SPR Environmental monitoring SPR Social policy SPR Economic sociology SPR Data-driven Science, Modeling and Theory Building SPR Computer Appl in Social and Behavioral Sciences SPR Organizational Studies, Economic Sociology SPR MonitoringEnvironmental Analysis SPR Social Policy BOOK Loreto, Vittorio ed. Haklay, Muki ed. Hotho, Andreas ed. Servedio, Vito ed. Stumme, Gerd ed. Theunis, Jan ed. Tria, Francesca ed. SPR n 201701 201701 21 PUBLIC https://catalogue.library.cern/legacy/2240255 BOOK MIGRATED 2253308 SzGeCERN 20220810143935.0 DOI IOP 10.1088/1748-0221/11/07/C07016 oai:inspirehep.net:1478943 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1478943 2017-02-23T09:30:29Z 2017-02-24T05:00:05Z marcxml Inspire 1478943 eng Guida, R CERN Characterization of RPC operation with new environmental friendly mixtures for LHC application and beyond 2016 10 p IOP The large muon trigger systems based on Resistive Plate Chambers (RPC) at the LHC experiments are currently operated with R134a based mixture. Unfortunately R134a is considered a greenhouse gas with high impact on the enviroment and therefore will be subject to regulations aiming in strongly reducing the available quantity on the market. The immediat effects might be instability on the price and incertitude in the product availability. Alternative gases (HFO-1234yf and HFO-1234ze) have been already identified by industry for specific applications as replacement of R134a. Moreover, HFCs similar to the R134a but with lower global warming potential (GWP) are already available (HFC-245fa, HFC-32, HFC-152a). The present contribution describes the results obtained with RPCs operated with new enviromemtal friendly gases. A particular attention has been addressed to the possibility of maintening the current operation conditions (i.e. currently used applied voltage and front-end electronics) in order to be able to use a new mixture for RPC systems even where the common infrastructure (i.e. high voltage and detector components) cannot be replaced for operation at higher applied voltages. publication CC-BY-3.0 CERN Library DAI/6612282 publication The Author(s) 2016 SzGeCERN Detectors and Experimental Techniques author Gas systems and purification author Gaseous detectors author Materials for gaseous detectors author Resistive-plate chambers CERN ARTICLE Capeans, M CERN Mandelli, B CERN C07016 07 JINST 11 C16-02-22.3 2016 1285254 1296881 http://cds.cern.ch/record/2253308/files/Guida_2016_J._Inst._11_C07016.pdf IOP Open Access article 13 2155632 C07016 ghent20160222 ARTICLE ConferencePaper 2245436 SzGeCERN 20171214170502.0 9783319474748 189 (NL),189 (1U) electronic version EBL 4790540 eng QA75.5-76.95 004 Kounev, Samuel Self-aware computing systems Cham Springer 2017 720 p Preface -- Background -- Content -- Intended Readership -- Contents -- Contributors -- Part I Introduction -- 1 The Notion of Self-aware Computing -- 1.1 Introduction -- 1.2 Definition of Self-aware Computing -- 1.3 Previous Initiatives in Self-aware Computing -- 1.3.1 Self-awareness in Artificial Intelligence -- 1.3.2 Engineering Self-aware Systems -- 1.3.3 Self-awareness in Pervasive Computing -- 1.3.4 Systems with Decentralized Self-awareness -- 1.3.5 Computational Self-awareness -- 1.4 A Concept of a Self-aware Learning and Reasoning Loop -- 1.5 Conclusion -- References 2 Self-aware Computing Systems: Related Concepts and Research Areas -- 2.1 Introduction -- 2.2 Control -- 2.3 Artificial Intelligence -- 2.3.1 Overview of Agents and Multi-agent Systems -- 2.3.2 Comparison with Self-aware Computing -- 2.4 Autonomic Computing -- 2.5 Organic Computing -- 2.6 Service-Based Systems and Cloud Computing -- 2.6.1 Service-Based Systems -- 2.6.2 Cloud Computing -- 2.6.3 Comparison with Self-aware Computing -- 2.7 Self-organizing Systems -- 2.7.1 Overview of Self-organizing Systems -- 2.7.2 Cross-pollination Opportunities with Self-aware Computing 2.8 Self-adaptive Systems -- 2.8.1 Overview of Basic Self-adaptive Systems -- 2.8.2 Anticipatory Self-adaptive Systems -- 2.9 Reflective Computing -- 2.10 Models@run.time and Reflection -- 2.11 Situation-Aware Systems and Context Awareness -- 2.12 Symbiotic Cognitive Computing -- 2.13 Auto-tuning -- 2.14 Constructive Definition -- 2.15 Summary -- References -- 3 Towards a Framework for the Levels and Aspects of Self-aware Computing Systems -- 3.1 Introduction -- 3.1.1 Why Consider Types of Self-awareness in Computing Systems? -- 3.1.2 Summary of This Chapter 3.2 Fundamentals, Inspiration, and Interpretations in Computing -- 3.2.1 What Is Self-awareness? -- 3.2.2 Interpretations and Applications -- 3.3 A Conceptual Framework -- 3.3.1 Overarching Levels of Self-awareness -- 3.3.2 Aspects of Reflective and Meta-reflective Self-awareness -- 3.3.3 Domain of Self-awareness -- 3.3.4 Putting It All Together -- 3.4 Self-awareness and Goals -- 3.5 Challenges -- References -- 4 Reference Scenarios for Self-aware Computing -- 4.1 Introduction -- 4.2 Rationale -- 4.3 Adaptive Sorting -- 4.3.1 Scenario -- 4.3.2 Key Questions -- 4.4 Data Center Resource Management 4.4.1 Scenario -- 4.4.2 Key Questions -- 4.5 Cyber-Physical Systems -- 4.5.1 Thermostat -- 4.5.2 Smart Home -- 4.5.3 Smart Micro-grid -- 4.5.4 System of Autonomous Shuttles -- 4.6 Conclusion -- References -- Part II System Architectures -- 5 Architectural Concepts for Self-aware Computing Systems -- 5.1 Introduction -- 5.2 Preliminaries -- 5.2.1 Running Example: Smart Home -- 5.2.2 Architectural Modeling with UML -- 5.2.3 Self-awareness Terminology and Framework -- 5.3 Architectural Elements for Self-awareness -- 5.3.1 System, Environmental Context, and Modules 5.3.2 Reflective and Prereflective Processes Kephart, Jeffrey O Milenkoski, Aleksandar Zhu, Xiaoyun 9783319474724 print version oai:cds.cern.ch:2245436 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4790540 ebook ebook EBL201702 Computing and Computers SzGeCERN BOOK n 201705 201702 21 PUBLIC BOOK DELETED 2245365 SzGeCERN 20170304223526.0 9783319436517 129 (NL),129 (1U) electronic version EBL 4774350 eng QC71.82-73.8 621.042 Veneri, Ottorino Technologies and applications for smart charging of electric and plug-in hybrid vehicles Cham Springer 2016 323 p Acknowledgments -- Contents -- About the Authors -- Introduction -- Part I: Overview of Technologies -- Chapter 1: Vehicle Electrification: Main Concepts, Energy Management, and Impact of Charging Strategies -- 1.1 Introduction -- 1.2 Vehicle Electrification: Introduction and Definitions -- 1.2.1 From HEVs to Plug-In Hybrid Electric Vehicles -- 1.2.2 PHEV Energy Management -- 1.2.3 Full-Electric Vehicles -- 1.2.4 PEV Charging Options and Infrastructure -- 1.3 Energy, Economic, and Environmental Considerations -- 1.4 Impacts of PEV Charging on the Power Grid -- 1.4.1 General Considerations 1.4.2 Effects of PEV Charging on Battery Lifetime -- 1.4.3 Effects of PEV Charging on Generation and Load Profile -- 1.4.4 Effects of PEV Charging on Distribution Networks -- 1.5 The Role of Smart Charging Technologies and Applications -- 1.5.1 General Considerations -- 1.5.2 Vehicle Electrification, Impacts on Investments, and Interdependencies in the Power Sector Including Renewables -- 1.6 Conclusions -- References -- Chapter 2: AC and DC Microgrid with Distributed Energy Resources -- 2.1 AC Microgrid -- 2.2 Introduction to DC Microgrids -- 2.2.1 DC Distributed Sources 2.2.2 The Configuration of DC Microgrids -- 2.2.3 Comparison of AC and DC Microgrids -- 2.3 The Control and Operation of DC Microgrids -- 2.3.1 Principles of DC Microgrid Operation -- 2.3.1.1 The Definition of DC Terminals [13] -- 2.3.1.2 Control of DC Microgrids: Central Control and Autonomous Control -- 2.3.1.3 The Principles of DC Voltage Control [13] -- 2.3.1.4 Operational Criteria -- 2.3.1.5 Autonomous Control Strategy of DC Microgrid [17] -- 2.3.1.6 Enhanced Droop Control for DC Microgrids [13] -- 2.3.1.7 Enhanced Operational Control of DC Microgrid and Power Smoothing 2.3.1.8 Hierarchical Control Scheme with Low-Bandwidth Communication -- 2.4 Stability of DC Microgrids -- 2.4.1 Small Signal Model and Stability Assessment -- 2.4.1.1 Virtual Impedance Method -- 2.4.1.2 Impacts of Constant Power Load on System Stability -- Static Consideration of a DC System with CPL -- Small Signal Modeling of a CPL with Virtual Impedance Method -- Dynamic Consideration of a CPL Within a DC Microgrid -- 2.5 Protection of DC Microgrids -- 2.5.1 Introduction to DC Faults -- 2.5.2 DC Circuit Breaking -- 2.6 Conclusion -- References Chapter 3: Integration of Renewable Energy Sources into the Transportation and Electricity Sectors -- 3.1 Introduction -- 3.2 On-Board Energy Harvesting Through Renewable Energy Sources -- 3.2.1 Introduction -- 3.2.2 Vehicle´s Main Features -- 3.2.3 PV Panel Sizing -- 3.2.4 Case Studies -- 3.2.4.1 Conventional Vehicles -- 3.2.4.2 Pure EVs -- 3.2.4.3 HEVs -- 3.2.4.4 Grid PHEVs -- 3.2.4.5 PV-Grid PHEVs -- 3.3 Opportunities and Challenges for Photovoltaic-Based EVSEs -- 3.3.1 Introduction -- 3.3.2 Solar Maximum Power Point Tracking for EV/PHEV Battery Charging -- 3.3.3 Power Electronics Interface 3.3.3.1 Conventional Structures of PV Systems 9783319436494 print version oai:cds.cern.ch:2245365 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4774350 ebook ebook EBL201702 Engineering SzGeCERN BOOK n 201705 201702 21 PUBLIC BOOK DELETED 2245288 SzGeCERN 20170615235955.0 9783319448992 179 (NL),179 (1U) electronic version EBL 4732587 eng QC71.82-73.8 621.042 Bisello, Adriano Smart and sustainable planning for cities and regions results of SSPCR 2015 Cham Springer 2016 439 p Green energy and technology Foreword -- Beyond Urban Liveabilty: Terrestrial Habitability and the Rise of Intelligent Environments -- Preface -- Why do We Need a Smart and Sustainable Planning for Cities and Regions? -- Invited Talks -- SSPCR 2015 Scientific Committee -- Contents -- Climate-Energy Planning -- 1 Optimization of Load Flows in Urban Hybrid Networks -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Electricity Network -- 2.2 Thermal and Gas Networks -- 2.3 Energy Hubs -- 2.4 Optimization -- 3 Case Study -- 3.1 Networks -- 3.2 Load and Production Profiles -- 3.3 Definition of Energy Hubs -- 3.4 Scenarios 4 Results -- 5 Conclusion -- References -- 2 Technical, Financial and Urban Potentials for Solar District Heating in Italy -- Abstract -- 1 Introduction -- 2 Opportunities for Solar District Heating-the Italian Framework -- 3 Methodology of the Analysis -- 4 The Case Studies of Existing District Heating Networks -- 4.1 Centralized Solar Thermal Field -- 4.1.1 Case Study a-Solar Thermal + Natural Gas -- 4.1.2 Case Study B-Solar Thermal + Waste-to-Energy -- 4.1.3 Case Study C-Solar Thermal + Natural Gas Cogeneration + Biomass-Cogeneration Heat Recovery -- 4.2 Distributed Solar Thermal 5 Energy Performances -- 6 Economics of the Case Studies -- 7 New DH Network with ST -- 7.1 Energy Load Estimation -- 7.2 Case E-Solar DH-Central Plant 4,500 m2 -- 8 The Urban Aspects of the Case Studies -- 9 Conclusions -- References -- 3 Building-Stock Analysis for the Definition of an Energy Renovation Scenario on the Urban Scale -- Abstract -- 1 Introduction -- 2 The Typology Approach -- 2.1 Definition of Reference Buildings -- 2.2 Baseline Simulation -- 2.3 Renovation Measures -- 2.4 Energy Saving Potential and Target Setting -- 3 Results of the Building-Stock Energy Analysis 3.1 Case Study 1: Rotaliana-Königsberg -- 3.1.1 Data Collection -- 3.1.2 Building-Stock Analysis/Typology Matrix -- 3.1.3 Renovation Measures -- 3.1.4 Main Results: Baseline and Renovation Scenarios -- 3.2 Case Study 2: The Passiria Valley -- 3.2.1 Data Collection -- 3.2.2 Building Stock Analysis/Typology Matrix -- 3.2.3 Renovation Measures -- 3.2.4 Main Results -- 4 Conclusions -- References -- 4 Collaboration in Regional Energy-Efficiency Development -- Abstract -- 1 Introduction -- 2 Case Descriptions and Methods -- 2.1 Case Descriptions -- 2.2 Methods -- 3 Findings -- 3.1 Findings from Case A 3.2 Findings from Case B -- 3.3 Comparison of Case Findings -- 4 Conclusions -- Acknowledgments -- References -- Innovative Technologies -- 5 Lighting up the Landmarks with Information About the Environment -- Abstract -- 1 Introduction -- 2 Lighting up the Landmarks -- 2.1 Glanceable Information -- 2.2 Examples -- 2.2.1 D-tower -- 2.2.2 Rogier Tower -- 2.2.3 Breast Cancer Awareness Month -- 3 Choosing an Environmental Parameter -- 4 Being Smart -- 5 Effects and Where to Go from Here -- Acknowledgments -- References 6 Taxi of the Future: Big Data Analysis as a Framework for Future Urban Fleets in Smart Cities Vettorato, Daniele Stephens, Richard Elisei, Pietro 9783319448985 print version oai:cds.cern.ch:2245288 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4732587 ebook ebook EBL201702 Engineering SzGeCERN BOOK n 201705 201702 21 PUBLIC BOOK DELETED 2245217 SzGeCERN 20181215220127.0 9789401158466 99 (NL),99 (1U) electronic version EBL 3567149 eng QC801-809 526.1 Albu, Marius Mineral and thermal groundwater resources Dordrecht Springer 2012 459 p Front -- Contents -- Contributors -- Acknowledgments -- Introduction -- Mineral and Thermal Groundwater Resources -- 1 History of mineral and thermal waters -- 2 Uses of mineral and thermal waters -- 3 Hydrogeochemistry and origin of mineral waters -- 4 -- 5 Investigation of mineral and thermal water systems -- 6 Modelling of groundwater systems -- 7 Exploitation and management of mineral and thermal waters -- 8 Environmental issues and conservation -- 9 -- 10 -- 11 Geothermal and mineral water resources of Lithuania -- 12 13 Geological, hydrochemical, regulatory and economic aspects of natural packaged water production: Nordland County, Norway -- 14 The mineral and thermal waters of the Krusne Hory rift valley, Czech Republic -- 15 -- 16 Optimization of exploitation of geothermal reservoirs in the Pannonian Basin, Romania -- References -- Index Banks, David Nash, Harriet 9789401064705 print version oai:cds.cern.ch:2245217 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3567149 ebook ebook EBL201702 Astrophysics and Astronomy SzGeCERN BOOK n 201705 201702 21 PUBLIC BOOK DELETED 2245202 SzGeCERN 20181215220127.0 9789401156165 99 (NL),99 (1U) electronic version EBL 3566984 eng QE1-996.5 004 Harmancioglu, Nilgun B Integrated approach to environmental data management systems Dordrecht Springer 2012 549 p Front -- TABLE OF CONTENTS -- Part I INTRODUCTION -- OBJECTIVES, CONSTRAINTS AND INSTITUTIONAL ASPECTS OF ENVIRONMENTAL DATA MANAGEMENT -- DESIGN OF DATA COLLECTION NETWORKS -- Part IV PHYSICAL SAMPLING AND PRESENTATION OF DATA -- Part V DATA PROCESSING AND RELIABILITY CONSIDERATIONS -- Part VI STATISTICAL SAMPLING AND ANALYSIS -- Part VII ENVIRONMENTAL DATABASES -- Part VIII TRANSFER OF DATA INTO INFORMATION FOR ENVIRONMENTAL DECISION MAKING -- Part IX CONCLUSIONS AND RECOMMENDATIONS -- Part X CASE Alpaslan, M Necdet Ozkul, Sevinc D 9789401063678 print version oai:cds.cern.ch:2245202 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3566984 ebook ebook EBL201702 Computing and Computers SzGeCERN BOOK n 201705 201702 21 PUBLIC BOOK DELETED 2245153 SzGeCERN 20181215220126.0 9789401131988 129 (NL),129 (1U) electronic version EBL 3566330 eng QD450-882 541 Devillers, J Applied multivariate analysis in sar and environmental studies Dordrecht Springer 2012 529 p TABLE OF CONTENTS -- PREFACE -- LIST OF CONTRIBUTORS AND LECTURERS Karcher, W 9789401054102 print version oai:cds.cern.ch:2245153 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3566330 ebook ebook EBL201702 Chemical Physics and Chemistry SzGeCERN BOOK n 201705 201702 21 PUBLIC BOOK DELETED 2244997 SzGeCERN 20180716233659.0 9789400775343 89.99 (NL),89.99 (1U) electronic version EBL 3091933 eng 541.3422 Mercury, Lionel Transport and reactivity of solutions in confined hydrosystems Dordrecht Springer 2013 271 p NATO science for peace and security. Series C environmental security Tas, Niels Zilberbrand, Michael 9789400775336 print version oai:cds.cern.ch:2244997 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3091933 ebook ebook EBL201702 Chemical Physics and Chemistry SzGeCERN BOOK n 201705 201702 21 PUBLIC BOOK DELETED 2244756 SzGeCERN 20250515231458.0 oai:cds.cern.ch:2244756 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN eng Szuba, Marek Krzysztof Warsaw U. of Tech. Long-range Correlations of Charged Hadrons in Nucleus–Nucleus Collisions at the CERN SPS 143 p PhD Warsaw U. of Tech. 2009 Abstract It has been believed since the 1960s that hadrons — most artificially-produced particles as well as protons and neutrons making up atomic nuclei — consist in fact of even smaller particles called quarks. At the same time it is believed that it is impossible to free a quark from inside a hadron; this phenomenon is called confinement and has so far been confirmed by all experimental observations. On the other hand the opposite effect, asymptotic freedom, has led physicists to believe that under appropriate environmental conditions quark matter could undergo a phase transition into states in which quarks along with gluons (carriers of the strong force) could be considered deconfined; one of such states, characterised by high temperature, is called quark-gluon plasma (QGP). Even though the QGP is thought no longer to naturally exist in our universe, we are capable of recreating appropriate conditions through the means of high-energy collisions of heavy atomic nuclei, hurried to relativistic speeds in particle accelerators. Experimental programs involving searches for the QGP have been in progress in a number of accelerator facilities around the world since the 1970s; one of such programs was launched in early 1990s at the Super Proton Synchrotron at CERN and involved a variety of experiments dedicated to searching for quark- gluon plasma in Pb+Pb collisions at the beam energy of 158 A GeV, including the experiment NA49. With minuscule droplet sizes and extremely short lifetime, experimentally-produced quark- gluon plasma cannot be observed directly and must be searched for by examining observables expected to be possible to trace back to when it existed — either by examining them in sys- tems believed to contain the QGP and looking for discrepancies with respect to systems which do not, or by tracking their behaviour as a function of beam energy and looking for qualitative changes which could signify phase transition. One such observable is the shape of jets, colli- mated showers of particles originating from interactions of individual quarks/gluons rather than whole hadrons (the so-called hard scatterings) and as such expected to be sensitive to the pres- ence of deconfined quarks and gluons. In turn, one of the methods which can be used to observe jet shapes in collisions takes advantage of their particles’ collimation to produce multiparticle azimuthal-correlation functions. Its application to analysing data from experiments at the BNL RHIC has been a resounding success, however until 2005, when first results on the subject were shown by the CERES Collaboration, no analysis of this sort was performed in the energy range of the SPS — not least due to the fact the realm of hard processes is not as easy to access there as at the RHIC, with other correlation sources potentially capable of distorting or obscuring the jet signal. NA49 is a large-acceptance hadronic spectrometer which between 1995 and 2002 collected information about a variety of different collision events, with several types of collided particles and for a wide range of collision energies. Its primary components are four large-volume Time Projection Chambers, providing kinematic information about event particles as well as identi- fying them by ionisation energy loss ( dE/dx ). Two Time of Flight walls complement particle identification at low momentum and around mid-rapidity. The set-up also contains a plethora of small beam-position and triggering detectors, as well as a Veto Calorimeter used to deter- mine centrality of nucleus–nucleus collisions through measurements of beam-remnant energy. In spite of its non-uniform azimuthal coverage, with its large acceptance and many different observed systems NA49 can be considered a good source of data for correlation studies. In the study described in this dissertation we have produced two-particle azimuthal corre- lation functions for p+p , central Si+Si as well as central and mid-central Pb+Pb collisions at 158 A GeV, along with central Pb+Pb events at 80 A , 40 A , 30 A and 20 A GeV; moreover, for central Pb+Pb collisions at 158 A GeV we have also produced two-particle ( Δ η , Δ φ ) functions. Event and track cuts used to improve quality of the observed signal, along with procedures for calculating and/or estimating statistical and systematic errors, have been described and dis- cussed. The functions have been used in a number of scans attempting to establish trends of their behaviour with changing centrality, selection of charge or transverse momentum of paired particles, system size and beam energy. Results from the CERES experiment at the SPS have been used for reference for heavy-nucleus collisions at the top SPS energy, whereas functions from the PHENIX experiment at the RHIC have allowed us to extend the energy scan beyond the SPS. Finally, two-particle azimuthal correlation functions from p+p events at 158 GeV as well as from central Pb+Pb events at different collision energies, along with two-particle ( Δ η , Δ φ ) functions from central Pb+Pb collisions at 158 A GeV for a number of transverse-momentum bins, have been compared to the output of the string-hadronic model UrQMD Our results show the shape and amplitude away-side peak of two-particle azimuthal cor- relation functions to depend strongly on system size but only weakly on collision energy or transverse-momentum selection, moreover they agree with UrQMD regardless of whether jet production is enabled in the model or not. This is at odds with expectations regarding such correlations should they originate from jets and their modification by quark-gluon plasma but is consistent with effects of global momentum conservation. Furthermore no ridge-like structure, visible in RHIC results and associated with the QGP, has been observed in two-particle ( Δ η , Δ φ ) correlations. On the other hand, the amplitude of the near-side peak in two-particle azimuthal correlations drops with decreasing energy and turns into a depletion around 40 A GeV. This phe- nomenon is not visible in simulated functions, suggesting the possibility of its association with the onset of deconfinemen SzGeCERN CERN THESIS CERN SPS NA49 Gazdzicki, Marek dir. https://edms.cern.ch/ui/file/984885/2/szuba_phd.pdf EDMS NA49 server 1275437 5030768 http://cds.cern.ch/record/2244756/files/szuba_phd.pdf Fulltext 14 https://repository.cern/legacy/record/2244756 THESIS MIGRATED 2244049 SzGeCERN 20210421212059.0 9780323480659 9780323480666 0323480667 oai:cds.cern.ch:2244049 cerncds:BOOK SAFARI ocn967729419 OCoLC 967729419 eng TP1120 Biron, Michel Industrial applications of renewable plastics environmental, technological, and economic advances Kidlington William Andrew 2016 mult. p ebook PDL handbook series SAF201702 SzGeCERN Engineering SAF Plastics BOOK https://learning.oreilly.com/library/view/-/9780323480666/?ar ebook n 201705 201701 21 PUBLIC https://catalogue.library.cern/legacy/2244049 BOOK MIGRATED 2243988 SzGeCERN 20210421212114.0 9780133763492 0133763498 9780133763379 oai:cds.cern.ch:2243988 cerncds:BOOK SAFARI ocn967704363 OCoLC 967704363 eng TR680 Lavine, Kathleen Environmental portraiture tell your subject's story and create dynamic portraits with one bag of gear [S.l.] Peachpit Press 2014 mult. p ebook SAF201702 SzGeCERN Computing and Computers SAF Portrait photography SAF Photography BOOK https://learning.oreilly.com/library/view/-/9780133763492/?ar ebook n 201705 201701 21 PUBLIC https://catalogue.library.cern/legacy/2243988 BOOK MIGRATED 2243956 SzGeCERN 20210421212121.0 9780128006689 0128006684 9780128044926 0128044926 9780128005514 oai:cds.cern.ch:2243956 cerncds:BOOK SAFARI ocn968205788 OCoLC 968205788 eng TD196.O73 Speight, James G Environmental organic chemistry for engineers Kidlington Butterworth-Heinemann 2017 mult. p ebook SAF201702 SzGeCERN Engineering SAF Organic compounds SAF Environmental engineering SAF Civil engineering SAF Environmental chemistry BOOK https://learning.oreilly.com/library/view/-/9780128006689/?ar ebook n 201705 201701 21 PUBLIC https://catalogue.library.cern/legacy/2243956 BOOK MIGRATED 2243887 SzGeCERN 20210421212123.0 9783319484563 print version 9783319484570 electronic version electronic version DOI 10.1007/978-3-319-48457-0 ebook oai:cds.cern.ch:2243887 cerncds:BOOK eng TA342-343 003.3 23 Santos, Juan Enrique Numerical simulation in applied geophysics Cham Springer 2016 ebook Lecture notes in geosystems mathematics and computing 1.Waves in porous media -- 2.Extensions of Biot Theory -- 3.Absorbing Boundary Conditions in Viscoelastic and -- 4.Induced Anisotropy, Viscoelastic and Poroelastic -- 5.Wave Propagation in Poroelastic Media. The Finite -- 6.The Mesoscale and the Macroscale. Isotropic Case -- 7.The Mesoscale and the Macroscale. VTI Case -- 8.Wave Propagation at the Macroscale -- . This book presents the theory of waves propagation in a fluid-saturated porous medium (a Biot medium) and its application in Applied Geophysics. In particular, a derivation of absorbing boundary conditions in viscoelastic and poroelastic media is presented, which later is employed in the applications. The partial differential equations describing the propagation of waves in Biot media are solved using the Finite Element Method (FEM). Waves propagating in a Biot medium suffer attenuation and dispersion effects. In particular the fast compressional and shear waves are converted to slow diffusion-type waves at mesoscopic-scale heterogeneities (on the order of centimeters), effect usually occurring in the seismic range of frequencies. In some cases, a Biot medium presents a dense set of fractures oriented in preference directions. When the average distance between fractures is much smaller than the wavelengths of the travelling fast compressional and shear waves, the medium behaves as an effective viscoelastic and anisotropic medium at the macroscale. The book presents a procedure determine the coefficients of the effective medium employing a collection of time-harmonic compressibility and shear experiments, in the context of Numerical Rock Physics. Each experiment is associated with a boundary value problem, that is solved using the FEM. This approach offers an alternative to laboratory observations with the advantages that they are inexpensive, repeatable and essentially free from experimental errors. The different topics are followed by illustrative examples of application in Geophysical Exploration. In particular, the effects caused by mesoscopic-scale heterogeneities or the presence of aligned fractures are taking into account in the seismic wave propagation models at the macroscale. The numerical simulations of wave propagation are presented with sufficient detail as to be easily implemented assuming the knowledge of scientific programming techniques. Mathematics and statistics SPR201702 SzGeCERN Mathematical Physics and Mathematics SPR Geophysics SPR Mathematical models SPR Mathematical Modeling and Industrial Mathematics SPR GeophysicsGeodesy SPR Geophysics and Environmental Physics BOOK Gauzellino, Patricia Mercedes SPR n 201705 201702 21 PUBLIC https://catalogue.library.cern/legacy/2243887 BOOK MIGRATED 2243868 SzGeCERN 20210421212127.0 9783319463308 print version 9783319463315 electronic version electronic version DOI 10.1007/978-3-319-46331-5 ebook oai:cds.cern.ch:2243868 cerncds:BOOK eng QC1-999 621 23 Agent-based modeling of sustainable behaviors Cham Springer 2017 ebook Understanding complex systems 1860-0832 Psychologically Plausible Models in Agent-Based Simulations of Sustainable Behavior -- Modelling Everyday Pro-Environmental Norm Transmission and Diffusion in Workplace Networks -- Empirically-Derived Behavioral Rules in Agent-Based Models Using Decision Trees Learned From Questionnaire Data -- The Implementation of the Theory of Planned Behavior in an Agent-Based Model for Waste Recycling: A Review and a Proposal -- Social Simulations Through an Agent-Based Platform, Location Data and 3D Models -- An Intersection-Centric Auction-Based Traffic Signal Control Framework -- Agentdrive: Agent-Based Simulator for Intelligent Cars and its Application for Development of a Lane-Changing Assistant -- City Parking Allocations as a Bundle of Society-Aware Deals -- Sustainable Farming Behaviours: an Agent Based Modelling and LCA Perspective -- Agent-Based Simulation of Electricity Markets: Risk Management and Contracts for Difference -- Energy Management in the Smart Grids via Intelligent Storage Systems. Using the O.D.D. (Overview, Design concepts, Detail) protocol, this title explores the role of agent-based modeling in predicting the feasibility of various approaches to sustainability. The chapters incorporated in this volume consist of real case studies to illustrate the utility of agent-based modeling and complexity theory in discovering a path to more efficient and sustainable lifestyles. The topics covered within include: households' attitudes toward recycling, designing decision trees for representing sustainable behaviors, negotiation-based parking allocation, auction-based traffic signal control, and others. This selection of papers will be of interest to social scientists who wish to learn more about agent-based modeling as well as experts in the field of agent-based modeling. Physics and astronomy SPR201702 SzGeCERN Other Fields of Physics SPR Artificial intelligence SPR Game theory SPR Sustainable development SPR Economic sociology SPR Game Theory, Economics, Social and Behav Sciences SPR Organizational Studies, Economic Sociology SPR Artificial Intelligence (incl Robotics) SPR Sustainable Development BOOK Alonso-Betanzos, Amparo ed. Sánchez-Maroño, Noelia ed. Fontenla-Romero, Oscar ed. Polhill, J ed. Craig, Tony ed. Bajo, Javier ed. Corchado, Juan ed. SPR n 201705 201702 21 PUBLIC https://catalogue.library.cern/legacy/2243868 BOOK MIGRATED 2243848 SzGeCERN 20210422083754.0 9789462392120 print version 9789462392137 electronic version electronic version DOI 10.2991/978-94-6239-213-7 e-proceedings oai:cds.cern.ch:2243848 cerncds:CONF eng TA401-TA492 620.11 23 Proceedings of IV Advanced Ceramics and Applications conference Belgrade, Serbia 21 - 23 Sep 2015 2015 belgrade20150921 RS 4 20150923 20150921 Paris Springer 2017 ebook 1.Flash sintering of ceramics: a short review -- 2.Ceramic Matrix Composites for High Performance Friction Applications -- 3.Functional Particulated Ionic Liquid-Based Silica Microcapsules -- 4.Reducing Losses in Magnetic Thin Films Through Nanoscale Surface Patterning -- 5.Contemporary Political and Religious Extremists as Destroyers of Ancient Artistic Heritage -- 6.Pumps to save life in cardiac failure -- 7.Application of Ceramic Nanoparticles for Near Infrared Bioimaging -- 8.Contemporary aspects of joint arthroplasties and role of ceramics -- 9.Contemporary dental ceramics -- 10.Intelligent Nanomaterials For Medicine Diagnostic And Therapy Application -- 11.Environmental impact of tributyl-tin biocides on coastal marine systems in the NE Adriatic sea -- 12.Microwave electro ceramic based on magnesium titanates compounds -- 13.Structural, electrical conduction and dielectric studies of mechano–synthesized manganese nanoferrite -- 14.Towards Electronic Materials Fractal Theory -- 15.Study of Nanodimensional Spinel ni0.5zn0.5fe2o4 Ferrite Prepared by Mechanochemical Synthesis -- 16.Off-resonant Raman spectroscopy of ZnS quantum dots -- 17.Influence of preparation method on SOP modes in ZnO doped with CoO nanoparticles -- 18.Structural Properties of Cu – Se – CuSe2 Thin Films -- 19.Mobile platform usage in creating conservation and restoration documentation -- 20.Jewelry as Specific form of Spiritual and Material Culture. This is the Proceedings of IV Advanced Ceramics and Applications conference, held in Belgrade, Serbia in 2015. Engineering SPR201702 SzGeCERN Engineering SPR Physical chemistry SPR Surfaces (Physics) SPR Interfaces (Physical sciences) SPR Thin films SPR Physical Chemistry SPR Surface and Interface Science, Thin Films CONFERENCE PROCEEDINGS Lee, Bill ed. Gadow, Rainer ed. Mitic, Vojislav ed. SPR n 201705 201702 42 PUBLIC https://catalogue.library.cern/legacy/2243848 PROCEEDINGS MIGRATED 2243824 SzGeCERN 20210421212135.0 9789811030611 print version 9789811030635 electronic version electronic version DOI 10.1007/978-981-10-3063-5 ebook oai:cds.cern.ch:2243824 cerncds:BOOK eng TA703-705.4 TA775-787 TC1-1800 624.15 23 Shukla, Sanjay Kumar Fundamentals of fibre-reinforced soil engineering Singapore Springer 2017 ebook Developments in geotechnical engineering 2364-5156 Chapter 1: Basic Description of Soil and Soil Reinforcement -- Chapter 2: Basic Description of Fibre-Reinforced Soil -- Chapter 3: Engineering Behaviour of Fibre-Reinforced Soil -- Chapter 4: Soil Reinforcing Mechanisms and Models -- Chapter 5: Applications of Fibre-Reinforced soils. This book is intended to serve as a one-stop reference on fibre-reinforced soils. Over the past 30-35 years, the engineering behaviour of randomly distributed/oriented fibre-reinforced soil, also called simply fibre-reinforced soil, has been investigated in detail by researchers and engineers worldwide. Waste fibres (plastic waste fibres, old tyre fibres, etc.) create disposal and environmental problems. Utilization of such fibres in construction can help resolve these concerns. Research studies and some field applications have shown that the fibres can be utilized in large quantities in geotechnical and civil engineering applications in a cost-effective and environmentally friendly manner. This book covers a complete description of fibres, their effects when included within a soil or other similar materials such as the fly ash, and their field applications. It gives a detailed view of fibre-reinforced soil engineering. The book will be useful to students, professional, and researchers alike, and can also serve as a text for graduate coursework and professional development programs. Engineering SPR201702 SzGeCERN Engineering SPR Building materials SPR Building Materials BOOK SPR n 201705 201702 21 PUBLIC https://catalogue.library.cern/legacy/2243824 BOOK MIGRATED 2243821 SzGeCERN 20210421212135.0 9788132236320 print version 9788132236344 electronic version electronic version DOI 10.1007/978-81-322-3634-4 ebook oai:cds.cern.ch:2243821 cerncds:BOOK eng TA703-705.4 TA775-787 TC1-1800 624.15 23 De, Alak Sedimentation process and design of settling systems New Delhi Springer 2017 ebook Springer transactions in civil and environmental engineering 2363-7633 Chapter 1: Introduction -- Chapter 2: Developments In Settling Studies -- Chapter 3: Velocity Profile Theorem - Concept for Solving Settling Problem Analysis -- Chapter 4: Sedimentation Process -- Chapter 5: Discrete Settling -- Chapter 6: Flocculant Settling -- Chapter 7: Zone Settling and Compression -- Chapter 8: Revised Mode of Analysis of Column Settling Data -- Chapter 9 : Effect of Short Circuiting on Settling -- Chapter 10: Parameter for Settling Performance Comparison -- Chapter 11: Design of Settling System – An Introduction -- Chapter 12: Compatible ‘Jar Testing ‘to The Settling in Real System -- Chapter 13: Compatible Design of A Real Settling System -- Chapter 14: High Rate Settling System -- Chapter 15: Experimental Verification of The Theory of ‘Tube Settling’ -- Chapter 16: Computational Methodology for Residual Solids Through Tube Settler -- Chapter 17: Theoretic Study on The Control of Design Parameters for Tube Settling -- Chapter 18: Design of High Rate Settlers -- Chapter 19: Design of Simple Couette Flow Module For The Removal Of Solids -- Chapter 20: Design of Thickeners. This book is designed to serve as a comprehensive source of information of sedimentation processes and design of settling systems, especially as applied to design of such systems in civil and environmental engineering. The book begins with an introduction to sedimentation as a whole and goes on to cover the development and details of various settling theories. The book traces the chronological developments of the comprehensive knowledge of settling studies and design of settling systems from 1889.A new concept of 'Velocity Profile Theorem', tool for settling problem analysis, has been employed to the analysis of the phenomenon of short circuiting. Complete theory of tube settling has been developed and its application to the computation of residual solids from the assorted solids through the same has been demonstrated. Experimental verification of the tube settling theory has also been presented. Field-oriented compatible design and operation methodology of settling system has been developed from the detailed study of a real settling system. New parameter for settling performance comparison appears to do justice for its purpose. Design methodology of high rate settling systems has been presented with worked out examples and the flexibility of control of operation has been shown. Lastly, along with the presentation of all the theories of 'Thickener Design' the same problem of thickening has been solved with all the methods to reveal the variation in the designed thickeners. The contents of this book will be useful to students, researchers, and professional engineers alike. . Engineering SPR201702 SzGeCERN Engineering SPR Hydrology SPR Water pollution SPR Waste Water Technology Water Pollution Control Water Management Aquatic Pollution SPR HydrologyWater Resources BOOK SPR n 201705 201702 21 PUBLIC https://catalogue.library.cern/legacy/2243821 BOOK MIGRATED 2243815 SzGeCERN 20210421212137.0 9783319520476 print version 9783319520483 electronic version electronic version DOI 10.1007/978-3-319-52048-3 ebook oai:cds.cern.ch:2243815 cerncds:BOOK eng TK7800-8360 TK7874-7874.9 621.381 23 Ghayvat, Hemant Wellness protocol for smart homes an integrated framework for ambient assisted living Cham Springer 2017 ebook Smart sensors, measurement and instrumentation 2194-8402 24 Introduction -- Literature Survey -- Wellness Protocol Development and Implementation -- Issues and Mitigation of WSNs-based Smart Building Systems -- Activity Detection and Wellness Pattern Generation -- Wellness Pattern Generation and Forecasting -- Conclusion and Future Works. This book focuses on the development of wellness protocols for smart home monitoring, aiming to forecast the wellness of individuals living in ambient assisted living (AAL) environments. It describes in detail the design and implementation of heterogeneous wireless sensors and networks as applied to data mining and machine learning, which the protocols are based on. Further, it shows how these sensor and actuator nodes are deployed in the home environment, generating real-time data on object usage and other movements inside the home, and therefore demonstrates that the protocols have proven to offer a reliable, efficient, flexible, and economical solution for smart home systems. Documenting the approach from sensor to decision making and information generation, the book addresses various issues concerning interference mitigation, errors, security and large data handling. As such, it offers a valuable resource for researchers, students and practitioners interested in interdisciplinary studies at the intersection of wireless sensing processing, radio communication, the Internet of Things and machine learning, and in how they can be applied to smart home monitoring and assisted living environments. Engineering SPR201702 SzGeCERN Engineering SPR Physical measurements SPR Measurement SPR Environmental monitoring SPR Measurement Science and Instrumentation SPR MonitoringEnvironmental Analysis BOOK Mukhopadhyay, Subhas Chandra SPR n 201705 201702 21 PUBLIC https://catalogue.library.cern/legacy/2243815 BOOK MIGRATED 2243802 SzGeCERN 20210421212140.0 9783319493664 print version 9783319493671 electronic version electronic version DOI 10.1007/978-3-319-49367-1 ebook oai:cds.cern.ch:2243802 cerncds:BOOK eng TJ807-830 621.042 23 Schönemann, Malte Multiscale simulation approach for battery production systems Cham Springer 2017 ebook Sustainable production, life cycle engineering and management 2194-0541 Introduction -- Battery production and simulation -- State of research for multiscale simulation of production systems -- Multiscale simulation modeling concept for battery production systems -- Implementation of a multiscale core model -- Exemplary application -- Summary and outlook. Addressing the challenge of improving battery quality while reducing high costs and environmental impacts of the production, this book presents a multiscale simulation approach for battery production systems along with a software environment and an application procedure. Battery systems are among the most important technologies of the 21st century since they are enablers for the market success of electric vehicles and stationary energy storage solutions. However, the performance of batteries so far has limited possible applications. Addressing this challenge requires an interdisciplinary understanding of dynamic cause-effect relationships between processes, equipment, materials, and environmental conditions. The approach in this book supports the integrated evaluation of improvement measures and is usable for different planning horizons. It is applied to an exemplary battery cell production and module assembly in order to demonstrate the effectiveness and potential benefits of the simulation. Engineering SPR201702 SzGeCERN Engineering SPR Energy SPR Renewable energy resources SPR Management SPR Industrial management SPR Renewable energy sources SPR Alternate energy sources SPR Green energy industries SPR Renewable and Green Energy SPR InnovationTechnology Management BOOK SPR n 201705 201702 21 PUBLIC https://catalogue.library.cern/legacy/2243802 BOOK MIGRATED 2257515 20180110012729.0 oai:cds.cern.ch:2257515 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:1703.07678 Inspire oai:inspirehep.net:1518782 2017-11-28T05:40:49Z 2017-11-29T06:15:06Z marcxml true http://inspirehep.net/oai2d Inspire 1518782 CERN-EP-DRAFT-LHCF-2017-001 arXiv arXiv:1703.07678 hep-ex eng Adriani, O. INFN, Florence Florence U. INFN Section of Florence,Florence,Italy University of Florence,Florence,Italy arXiv Measurement of forward photon-energy spectra for $\sqrt{s}$ = 13 TeV proton-proton collisions with the LHCf detector arXiv Measurement of forward photon-energy spectra for \sqrt{s} = 13 TeV proton-proton collisions with the LHCf detector 2017-03-22 17 p arXiv 21 pages, 4 figures arXiv In this paper, we report the production cross-section of forward photons in the pseudorapidity regions of $\eta\,>\,10.94$ and $8.99\,>\,\eta\,>\,8.81$, measured by the LHCf experiment with proton--proton collisions at $\sqrt{s}$ = 13 TeV. The results from the analysis of 0.191 $\mathrm{nb^{-1}}$ of data obtained in June 2015 are compared to the predictions of several hadronic interaction models that are used in air-shower simulations for ultra-high-energy cosmic rays. Although none of the models agree perfectly with the data, EPOS-LHC shows the best agreement with the experimental data among the models. arXiv http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv hep-ex SzGeCERN Particle Physics - Experiment CERN CERN LHC LHCf INSPIRE * Automatic Keywords * INSPIRE bibclassify interaction: model INSPIRE bibclassify cosmic radiation: UHE INSPIRE bibclassify LHC-F INSPIRE bibclassify energy spectrum INSPIRE bibclassify CERN LHC Coll INSPIRE bibclassify rapidity INSPIRE bibclassify photon Berti, E. INFN, Florence Florence U. INFN Section of Florence,Florence,Italy University of Florence,Florence,Italy Bonechi, L. INFN, Florence INFN Section of Florence,Florence,Italy Bongi, M. INFN, Florence Florence U. INFN Section of Florence,Florence,Italy University of Florence,Florence,Italy D'Alessandro, R. INFN, Florence Florence U. INFN Section of Florence,Florence,Italy University of Florence,Florence,Italy Haguenauer, M. Unlisted, FR Ecole-Polytechnique,Palaiseau,France Itow, Y. Nagoya U., ISEE KMI, Nagoya Institute for Space-Earth Environmental Research,Nagoya~University,Nagoya,Japan Kobayashi-Maskawa Institute for the Origin of Particles and the Universe,Nagoya~University,Nagoya,Japan Iwata, T. Waseda U., RISE RISE,Waseda University,Shinjuku,Tokyo,Japan Kasahara, K. Waseda U., RISE RISE,Waseda University,Shinjuku,Tokyo,Japan Makino, Y. Nagoya U., ISEE Institute for Space-Earth Environmental Research,Nagoya~University,Nagoya,Japan Masuda, K. Nagoya U., ISEE Institute for Space-Earth Environmental Research,Nagoya~University,Nagoya,Japan Matsubayashi, E. Nagoya U., ISEE Institute for Space-Earth Environmental Research,Nagoya~University,Nagoya,Japan Menjo, H. Nagoya U. Graduate School of Science,Nagoya~University,Nagoya,Japan Muraki, Y. Nagoya U., ISEE Institute for Space-Earth Environmental Research,Nagoya~University,Nagoya,Japan Papini, P. INFN, Florence INFN Section of Florence,Florence,Italy Ricciarini, S. INFN, Florence IFAC, Florence INFN Section of Florence,Florence,Italy IFAC-CNR,Florence,Italy Sako, T. Nagoya U., ISEE KMI, Nagoya Institute for Space-Earth Environmental Research,Nagoya~University,Nagoya,Japan Kobayashi-Maskawa Institute for the Origin of Particles and the Universe,Nagoya~University,Nagoya,Japan Sakurai, N. Tokushima U. Tokushima University,Tokushima,Japan Shinoda, M. Nagoya U., ISEE Institute for Space-Earth Environmental Research,Nagoya~University,Nagoya,Japan Suzuki, T. Waseda U., RISE RISE,Waseda University,Shinjuku,Tokyo,Japan Tamura, T. Kanagawa U. Kanagawa University,Kanagawa,Japan Tiberio, A. INFN, Florence Florence U. INFN Section of Florence,Florence,Italy University of Florence,Florence,Italy Torii, S. Waseda U., RISE RISE,Waseda University,Shinjuku,Tokyo,Japan Tricomi, A. INFN, Catania Catania U. INFN Section of Catania,Italy University of Catania,Catania,Italy Turner, W.C. LBNL, Berkeley LBNL,Berkeley,California,USA Ueno, M. Nagoya U., ISEE Institute for Space-Earth Environmental Research,Nagoya~University,Nagoya,Japan Zhou, Q.D. Nagoya U., ISEE Institute for Space-Earth Environmental Research,Nagoya~University,Nagoya,Japan LHCf 1300447 234486 http://cds.cern.ch/record/2257515/files/arXiv:1703.07678.pdf Preprint 1300448 48869 http://cds.cern.ch/record/2257515/files/20170124_finalresult.png 00004 Comparison of the photon spectra obtained from the experimental data and MC predictions. The top panels show the energy spectra, and the bottom panels show the ratio of MC predictions to the data. The hatched areas indicate the total uncertainties of experimental data including the statistical and the systematic uncertainties. 1300449 26185 http://cds.cern.ch/record/2257515/files/20170309_syserr_Arm1.png 00001 Systematic uncertainties of the photon spectra in the Arm1 (top) and Arm2 (bottom) analyses. The left and right panels correspond to the results of the two analysis regions. The colored and dashed lines indicate the estimated systematic uncertainties after normalization with the mean values of the experimental data. The black line indicates the total systematic uncertainties calculated as quadratic summations of the all uncertainties. 1300450 24801 http://cds.cern.ch/record/2257515/files/20170309_syserr_Arm2.png 00002 Systematic uncertainties of the photon spectra in the Arm1 (top) and Arm2 (bottom) analyses. The left and right panels correspond to the results of the two analysis regions. The colored and dashed lines indicate the estimated systematic uncertainties after normalization with the mean values of the experimental data. The black line indicates the total systematic uncertainties calculated as quadratic summations of the all uncertainties. 1300451 29912 http://cds.cern.ch/record/2257515/files/20170310_spectra_Arm12.png 00003 Photon spectra measured by the Arm1 (red filled circle) and Arm2 (blue open circle) detectors. The left figure shows the results for the region $\eta\,&gt;\,10.94$, which covers the zero degree of collisions. The right figure shows the results for the region $8.81\,&lt;\,\eta\,&lt;\,8.99$, which corresponds to the fiducial area in the large calorimeters of the detectors. The bars and the shaded areas correspond to the statistical and the systematic uncertainties, respectively. Only uncorrelated systematic uncertainties between Arm1 and Arm2 are considered in these plots. 1300452 30030 http://cds.cern.ch/record/2257515/files/Arm1L90Offical_170120.png 00000 $L_{90\%}$ distribution in Arm1 for the events with the reconstructed energy between 1.1 and 1.2 TeV. The black points represent the experimental data with statistical error bars. The red and blue coloured lines correspond to the template distributions obtained from the MC simulation for photons and hadrons, respectively. The black line represents the total of the template distributions. These distributions were normalised by the results of the template fitting. 1369549 48519 http://cds.cern.ch/record/2257515/files/20171025_finalresult.png 00003 Comparison of the photon production cross-section obtained from the experimental data and MC predictions. The top panels show the cross-section and the bottom panels show the ratio of MC predictions to the data. The shaded areas indicate the total uncertainties of experimental data including the statistical and systematic uncertainties. 1369550 51878 http://cds.cern.ch/record/2257515/files/20171025_syserr_Arm12.png 00001 Systematic uncertainties of the photon production cross-section in the Arm1 (top) and Arm2 (bottom) analyses. The left and right panels correspond to the results of the two analysis regions. The coloured and dashed lines indicate the estimated systematic uncertainties after normalization with the mean values of the experimental data. The black line indicates the total systematic uncertainties calculated as quadratic summations of all the uncertainties. 1369551 29341 http://cds.cern.ch/record/2257515/files/20171025_spectra_Arm12.png 00002 Photon production cross-section measured by the Arm1 (red filled circle) and Arm2 (blue open circle) detectors. The left figure presents the results for $\eta\,&gt;\,10.94$, which covers the zero-degree collisions angle. The right figure presents those for $8.81\,&lt;\,\eta\,&lt;\,8.99$, which corresponds to the fiducial area in the large calorimeters of the detectors. The bars and hatched areas correspond to the statistical and systematic uncertainties, respectively. Only uncorrelated systematic uncertainties between Arm1 and Arm2 are considered in these plots. 11 2255884 Preprint PREPRINT DELETED 2254548 SzGeCERN 20170418231951.0 9783319506739 129 (NL),129 (1U) electronic version EBL 4799345 eng QA75.5-76.95 004 Tistarelli, Massimo Handbook of biometrics for forensic science Cham Springer 2017 361 p Advances in computer vision and pattern recognition Preface -- Contents -- 1 Biometric Technologies for Forensic Science and Policing: State of the Art -- Abstract -- 1.1 A Short Historical Introduction and Forensic Context -- 1.2 Recent Developments of Biometric Technologies in Forensic Science -- 1.3 Challenges -- 1.4 Conclusions -- Acknowledgements -- References -- Analysis of Fingerprints and Fingermarks -- 2 Capture and Analysis of Latent Marks -- Abstract -- 2.1 Introduction -- 2.2 Fingerprint Characteristics -- 2.3 Conventional Latent Mark Acquisition Techniques -- 2.4 Contact-Less Latent Mark Acquisition Techniques 2.5 Latent Mark Analysis Process -- 2.6 Legal Challenges of Applying New Techniques in the Latent Mark Processing -- 2.7 Summary -- References -- 3 Automated Fingerprint Identification Systems: From Fingerprints to Fingermarks -- Abstract -- 3.1 Introduction -- 3.1.1 History -- 3.1.2 AFIS Functionalities -- 3.1.3 Fingerprint Identification Accuracy -- 3.2 Automated Fingerprint/Mark Technology -- 3.2.1 Fingerprints -- 3.2.2 Fingermarks -- 3.3 Segmentation -- 3.4 Enhancement -- 3.5 Forensic Applications -- 3.5.1 Applications Using fingerprints 3.5.1.1 Identity Management Within Criminal Justice Systems -- 3.5.1.2 Forensic Identification of Missing Persons -- 3.5.2 Application Using Fingermarks -- 3.5.2.1 Forensic Intelligence -- 3.5.2.2 Forensic Investigation -- 3.5.2.3 Forensic Evaluation -- 3.5.3 Current Challenges -- 3.5.3.1 Automation and Transparency -- 3.5.3.2 Scalability and Interoperability -- 3.5.3.3 Forensic Fingermark Processes -- 3.6 Conclusion -- References -- 4 Challenges for Fingerprint Recognition-Spoofing, Skin Diseases, and Environmental Effects -- Abstract -- 4.1 Spoofing and Anti-spoofing -- 4.1.1 Perspiration 4.1.2 Spectroscopic Characteristics -- 4.1.3 Ultrasonic Technology -- 4.1.4 Physical Characteristics: Temperature -- 4.1.5 Physical Characteristics: Hot and Cold Stimulus -- 4.1.6 Physical Characteristics: Pressure Stimulus -- 4.1.7 Physical Characteristics: Electrical Properties -- 4.1.8 Physical Characteristics: Pulse -- 4.1.9 Physiological Basics of Heart Activity -- 4.1.10 Physical Characteristics: Blood Oxygenation -- 4.1.11 Fingerprint Spoof Preparation -- 4.2 Skin Diseases -- 4.3 Environmental Distortions -- 4.3.1 Phenomena Influencing Fingerprint Acquisition 4.3.2 Methods for Generation of Synthetic Fingerprints -- 4.4 Conclusion -- Acknowledgments -- References -- 5 Altered Fingerprint Detection -- 5.1 Introduction -- 5.2 Background of Fingerprint Alterations -- 5.2.1 Obliteration -- 5.2.2 Distortion -- 5.2.3 Imitation -- 5.3 Related Work -- 5.3.1 Orientation Field Analysis -- 5.3.2 Minutiae Distribution Analysis -- 5.4 Recent Algorithms for Fingerprint Alteration Detection -- 5.4.1 Preprocessing -- 5.4.2 Singular Point Density Analysis -- 5.4.3 Minutia Orientation Analysis -- 5.4.4 Orientation Difference Map -- 5.4.5 Orientation Density Map 5.5 Evaluation and Results Champod, Christophe 9783319506715 print version oai:cds.cern.ch:2254548 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4799345 ebook ebook EBL201703 Computing and Computers SzGeCERN BOOK n 201709 201703 21 PUBLIC BOOK DELETED 2254470 SzGeCERN 20200610213321.0 9781498727761 print version 9781498727822 electronic version 239.93 (NL),199.94 (3U),159.95 (1U) electronic version oai:cds.cern.ch:2254470 cerncds:BOOK EBL 4778952 eng TK1087.P375 2017 621.31/244 Parkin, Robert E Building-integrated solar energy systems Boca Raton, FL CRC Press 2017 614 p Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- About the Author -- Preface -- 1 Energy Sources, Energy Uses, and Global Warming -- 1.1 History of Fossil Fuels -- 1.2 Composition of Fossil Fuels -- 1.3 Fossil Fuels, Uses and Reserves -- 1.4 Environmental Costs of Fossil Fuels -- 1.5 Energy Usage and Income -- 1.6 Planet Earth -- 1.7 Direct Solar Energy -- 1.8 Indirect Solar Energy -- 1.8.1 Winds of the World -- 1.8.2 Wave Power -- 1.8.3 Hydroelectric Power -- 1.8.4 The Biomass and Biofuel Potential -- 1.9 Other Energy Sources -- 1.9.1 Tidal Power 1.9.2 Geothermal Energy -- 1.9.3 Nuclear Power -- 1.10 Energy Use in the United States -- 1.10.1 Energy in the Industrial Sector -- 1.10.2 Transportation in the Modern World -- 1.10.3 The Commercial and Residential Sectors -- 1.10.4 Food Production -- 1.11 Global Warming -- 1.11.1 Greenhouse Gases -- 1.11.2 The Effects of Greenhouse Gases -- 2 The Internal Environment of a Residence -- 2.1 Electrical Use and Its Contribution to Sensible Heat -- 2.2 Human Needs and Demands in a Residence -- 2.3 Temperature Levels -- 2.4 Ventilation Guidelines -- 2.4.1 Air Changes per Hour -- 2.4.2 Air Velocity 2.4.3 Relative Humidity -- 2.4.4 Air Infiltration -- 2.4.5 Air Flow through Exterior Doors -- 2.4.6 Respiration and Carbon Dioxide -- 2.5 Heat Recovery Ventilation -- 2.6 Humidity Sources in a Residence -- 2.7 Sick Building Syndrome and VOC Mitigation -- 2.8 Illumination and Daylighting -- 2.9 Domestic Water Usage -- 2.10 Electrical Fixtures and Appliances in a Residence -- 2.10.1 ENERGY STAR Appliances -- 2.10.2 Electrically Generated Lighting -- 2.11 Noise Control -- 2.12 Return on Investment and Service Life -- 3 Heat Flow from a Residence -- 3.1 Thermal Terms 3.2 Empirical Nature of Heat Loss Calculations -- 3.3 Fundamentals of Glazing Losses -- 3.4 Heat Flow Across an Air Gap -- 3.5 Thermal Resistance R and Conductance C -- 3.6 Windows -- 3.6.1 Heat Loss Through Windows -- 3.6.2 Spacers and Their Influence on Heat Loss -- 3.7 Heat Losses from a Residence -- 3.7.1 Heat Losses through Walls and Roofs -- 3.7.2 Heat Losses through Structural Integrated Panels -- 3.7.3 Heat Losses from Basements and Foundations -- 4 Residential Construction Techniques -- 4.1 Fire, Civilization, and Simple Dwellings -- 4.2 Construction Techniques for Exterior Walls 4.2.1 Wooden Walls -- 4.2.2 The Development of Plywood -- 4.2.3 Bamboo and Other Grasses -- 4.2.4 Stud Wall Construction -- 4.2.5 Structural Integrated Panels -- 4.3 Masonry Walls -- 4.3.1 Brick Wall Construction -- 4.3.2 Poured Concrete Foundations and Walls -- 4.3.3 Concrete Block Walls -- 4.3.4 Rock Construction -- 4.3.5 Earthen Materials -- 4.3.6 Insulated Concrete Formwork -- 4.3.7 The AAC Block Wall -- 4.4 Insulation, Types and Installation Methods -- 4.4.1 Fiberglass Batts -- 4.4.2 Cellulose Insulation -- 4.4.3 Urea Formaldehyde Foam -- 4.4.4 Foam and Foam Board 4.4.5 Multi-Layer Radiant Barriers https://cds.cern.ch/auth.py?r=EBLIB_P_4778952 ebook ebook EBL201703 Engineering SzGeCERN BOOK n 201709 201703 21 PUBLIC BOOK DELETED 2254446 SzGeCERN 20171214170506.0 9783319486772 99 (NL),99 (1U) electronic version EBL 4747046 eng QC71.82-73.8 621.042 Pintz, William S Clean energy from the earth, wind and sun learning from hawaii's search for a renewable energy strategy Cham Springer 2016 184 p Preface -- Acknowledgements -- Contents -- Acronyms and Abbreviations -- 1 Introduction: Roots, Vision, and Strategy -- Abstract -- 1.1 Local Roots of HCEI -- 1.1.1 Hawaii 2000 Vision -- 1.1.2 The Hawaii Energy Policy Forum -- 1.1.3 Sustainability Report -- 1.1.4 Public Visions and Political Realities -- 1.2 External Influences on the Formulation of the Clean Energy Strategy -- 1.3 Regulatory Basis for Energy Objectives -- 1.4 Laying the Institutional Foundation for the Hawaii Clean Energy Initiative -- 1.4.1 Energy Resources Coordinator -- 1.4.2 Organizational Development 1.4.2.1 Hawaii Natural Energy Institute -- 1.4.2.2 Natural Energy Laboratory of Hawaii -- 1.5 The HCEI Goals -- 1.5.1 A Multi-dimensional Vision -- 1.5.2 The 70 % Clean Energy Objective -- 1.5.3 Preparedness -- 1.6 Perspectives of Major Stakeholders on a Renewable Energy Strategy -- 1.6.1 Electric Utilities -- 1.6.2 Oil Companies -- 1.6.3 Large Land Owners -- 1.6.4 Socio-environmental Advocates -- 1.6.5 Private Support Industries -- References -- 2 Hawaii Policy Background -- Abstract -- 2.1 Distinguishing Characteristics of Hawaii's Energy Sector -- 2.2 Hawaii's Energy Economy 2.3 Overview of Energy Costs and Prices -- 2.4 Overview of Energy Demand -- 2.4.1 Air Travel -- 2.4.2 The Military -- 2.4.3 Household Electricity Demand -- 2.5 Overview of Petroleum Supply Patterns -- 2.5.1 Importing and Processing Oil Products -- 2.5.2 Liquid Fuel Use -- 2.5.3 Petroleum Use in Electrical Generation -- 2.5.4 Liquid Fuel Use in Ground Transportation -- 2.5.5 Domestic Use of Synthetic Natural Gas -- 2.6 A Recent Forecast of HCEI's Impact on Petroleum Demand -- 2.7 Electricity Supply -- 2.7.1 Structure of Electricity Supply 2.7.2 Generation, Comparative Cost and Management of Electricity -- 2.8 Energy Conservation and Efficiency -- 2.9 Special Problems for a Special Place -- 2.9.1 Risk Implications of Oil Dependence -- 2.9.2 Transparency of Prices -- 2.9.3 Intermittent Generation and Grid Management -- 2.9.4 Impact of Environmental Regulations -- 2.9.5 Public Acceptance -- References -- 3 Anatomy of a Strategy: Assumptions, Policies, and Initial Resource Assessments -- Abstract -- 3.1 Underlying Logic of HCEI -- 3.2 Strategic Framework -- 3.3 Regulatory Environment -- 3.3.1 Renewable Portfolio Standard 3.3.2 Energy Efficiency Portfolio Standard -- 3.4 Initial Resource Assumptions About Electricity Resources -- 3.4.1 "Big Wind" as the Marque Strategy -- 3.4.2 Marine Cable -- 3.4.3 Evolution of Assumptions About Biofuels -- 3.4.4 The Shadow of Geothermal Resources -- 3.5 Emergence of the Core HCEI Assumptions for Transportation and Energy Efficiency -- 3.5.1 The Transportation Dilemma -- 3.5.2 Conservation and Efficiency -- 3.6 Assumptions About the Environment and Climate Change -- 3.7 Future Determinants of the Policy Framework -- References 4 Negotiations: Politics, Intentions, and Institutional Capacity Morita, Hermina 9783319486765 print version oai:cds.cern.ch:2254446 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4747046 ebook ebook EBL201703 Engineering SzGeCERN BOOK n 201709 201703 21 PUBLIC BOOK DELETED 2254437 SzGeCERN 20170906005811.0 9783319285405 99 (NL),99 (1U) electronic version EBL 4707897 eng QC71.82-73.8 621.042 Pellegrino, Carlo Sustainability improvements in the concrete industry use of recycled materials for structural concrete production Cham Springer 2016 187 p Green energy and technology 0 Contents -- List of Figures -- List of Tables -- 1 Introduction -- 1.1 Objectives of the Book -- 2 Recycled Aggregates for Concrete Production: State-of-the-Art -- 2.1 Construction and Demolition Waste -- 2.1.1 Processing Procedures for Recycled Aggregates Production -- 2.1.2 International Codes, Guidelines and Regulations -- 2.1.3 RAC Concrete-Mixture Proportioning -- 2.1.4 RAC Concrete-Mechanical Properties -- 2.1.5 RAC Concrete-Durability -- 2.1.6 RAC Concrete-Structural Concrete -- 2.2 Metallurgical Slag -- 2.2.1 EAF Slag-Characterization -- 2.2.2 EAF Slag Concrete -- 2.3 Fly Ash References -- 3 Workability and Rheology of Fresh Recycled Aggregate Concrete -- 3.1 Introduction -- 3.2 Rheology Background -- 3.2.1 Rheological Models and Flow Curve Equations -- 3.2.2 Bingham Parameters -- 3.2.3 Time-Dependent Behavior -- 3.2.4 Stability and Segregation -- 3.2.5 Relative Contributions on the Behavior of Fresh Concrete -- 3.2.6 Governing Equations -- 3.3 Test Methods for Evaluating Fresh Concrete Properties -- 3.4 Evaluation of Rheological Parameters with Coaxial Cylinders Viscometer -- 3.4.1 Reiner-Riwlin Equation -- 3.4.2 Plug Flow and Gravel Migration Influence 3.4.3 Rheographs -- 3.5 Mix Proportion Design of Coarse Recycled Aggregate Concrete and Its Effect on Workability -- 3.5.1 DVR, DWR and EMV Proportioning Methods -- 3.5.2 Slump Test Results -- 3.5.3 Viscometric Results -- 3.5.4 Slump-Yield Stress Relation -- 3.6 Conclusions -- Acknowledgments -- References -- 4 Electric Arc Furnace Slag Concrete -- 4.1 Introduction -- 4.2 EAF Slag Properties -- 4.2.1 Physical Properties -- 4.2.2 Chemical Composition -- 4.3 Ordinary Strength Concrete with EAF Aggregates -- 4.3.1 Fresh Concretes Properties -- 4.3.2 Mechanical Properties 4.3.3 Durability-Related Properties -- 4.3.4 Structural Behavior of RC Beams with EAF Concrete -- 4.4 High Strength Concrete with EAF Aggregates -- 4.4.1 Fresh and Hardened Concrete Properties -- 4.4.2 Durability-Related Concrete Properties -- 4.5 Conclusions -- Acknowledgments -- References -- 5 Sustainability of Recycled Concretes Through Life Cycle Assessment -- 5.1 Introduction -- 5.2 Recycled Aggregates and Potential Environmental Issues -- 5.3 Sustainability Indicators -- 5.3.1 Life Cycle Assessment -- 5.3.2 Abiotic Depletion and Exhaustion Time Indicators -- 5.3.3 Land Use 5.4 LCA of Natural and Recycled Aggregates -- 5.4.1 Natural Aggregates -- 5.4.2 Electric Arc Furnace Slag Aggregates -- 5.5 LCA of Concretes with Recycled Aggregates -- 5.5.1 Concrete with EAF Slag -- 5.5.2 The Influence of Cement Content on Concrete Emissions -- 5.5.3 The Influence of Aggregates Specific Weight on Concrete Emissions: System Boundary Expansion -- 5.5.4 The Choice of the Functional Unit -- 5.6 Natural Aggregates Depletion at Local Scale -- 5.7 Land Use Preservation -- 5.8 Conclusions -- Acknowledgments -- References -- 6 Experimental Database of EAF Slag Use in Concrete 6.1 Introduction Faleschini, Flora 9783319285382 print version oai:cds.cern.ch:2254437 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4707897 ebook ebook EBL201703 Engineering SzGeCERN BOOK n 201709 201703 21 PUBLIC BOOK DELETED 2254409 SzGeCERN 20181215220127.0 9781119964452 105 (NL),105 (3U),70 (1U) electronic version EBL 4041333 eng HD9502 621.042 Coley, David Energy and climate change creating a sustainable future Somerset John Wiley & Sons 2011 590 p Title Page -- Copyright -- Dedication -- Preface -- Corrections and additional material -- 1: Introduction -- PART I -- 2: Energy -- 2.1 What is energy? -- 2.2 Units -- 2.3 Power -- 2.4 Energy in various disguises -- 2.5 Energy quality and exergy -- 2.6 Student exercises -- 3: The planet's energy balance -- 3.1 The sun -- 3.2 The earth -- 3.3 Comparisons -- 3.4 Student exercises -- 4: A history of humankind's use of energy -- 4.1 Energy and society -- 4.2 Wealth, urbanization and conflict -- 4.3 Our current level of energy use -- 4.4 Student exercises 5 Sustainability, climate change and the global environment -- 5.1 Sustainability -- 5.2 Climate change -- 5.3 Other concerns -- 5.4 Debating climate change and answering the skeptics -- 5.5 The atmosphere -- 5.6 Student exercises -- 6: Economics and the environment -- 6.1 Key concepts -- 6.2 Environmental economics -- 6.3 Student exercises -- 7: Combustion, inescapable inefficiencies and the generation of electricity -- 7.1 Combustion -- 7.2 Calorific values -- 7.3 Inescapable inefficiencies -- 7.4 Heat pumps -- 7.5 Double Carnot efficiencies -- 7.6 The generation of electricity from heat 7.7 Student exercises -- PART II -- 8: Coal -- 8.1 History -- 8.2 Extraction -- 8.3 The combustion of coal -- 8.4 Technologies for use -- 8.5 Example applications -- 8.6 Global resource -- 8.7 Student exercises -- 9: Oil -- 9.1 Extraction -- 9.2 The combustion of oil -- 9.3 Technologies for use -- 9.4 Example application: the motor car -- 9.5 Global resource -- 9.6 Student exercises -- 10: Gas -- 10.1 Extraction -- 10.2 The combustion of gas -- 10.3 Technologies for use -- 10.4 Example application: the domestic boiler -- 10.5 Global resource -- 10.6 Student exercises 11: Non-conventional hydrocarbons -- 11.1 Oil shale -- 11.2 Tar sands -- 11.3 Methane hydrate -- 11.4 Student exercises -- 12: Nuclear power -- 12.1 Physical basis -- 12.2 Technologies for use -- 12.3 Environmental concerns -- 12.4 Waste -- 12.5 World resource -- 12.6 Example applications -- 12.7 Is nuclear power the solution to global warming? -- 12.8 Student exercises -- 13: Hydropower -- 13.1 History -- 13.2 Technologies for use -- 13.3 Example application: Itaipu hydroelectric station -- 13.4 Environmental impacts -- 13.5 Pumped storage -- 13.6 Global resource -- 13.7 Student exercises 14: Transport and air quality -- 14.1 Present day problems -- 14.2 Air quality and health -- 14.3 Example application: air quality in Exeter, UK -- 14.4 Student exercises -- 15: Figures and philosophy: an analysis of a nation's energy supply -- 15.1 The economy -- 15.2 Production -- 15.3 Consumption -- 15.4 Oil and gas production -- 15.5 Prices -- 15.6 Fuel poverty -- 15.7 Carbon emissions -- 15.8 Sustainable energy in the UK: the current state of play -- 15.9 Student exercises -- PART III -- 16: Future world energy use and carbon emissions -- 16.1 The world's future use of energy 16.2 Student exercises 9780470853122 print version oai:cds.cern.ch:2254409 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4041333 ebook ebook EBL201703 Engineering SzGeCERN BOOK n 201709 21 PUBLIC BOOK DELETED 2253883 SzGeCERN 20210421211923.0 9783319502793 print version 9783319502809 electronic version electronic version DOI 10.1007/978-3-319-50280-9 ebook oai:cds.cern.ch:2253883 cerncds:BOOK eng GB3-5030 QE1-996.5 550 23 The urban forest cultivating green infrastructure for people and the environment Cham Springer 2017 ebook Future city 1876-0899 7 Preface -- Contributors -- 1. Environmental services provided by urban forests and green infrastructure -- 1.1. Introduction: Urban trees as environmental engineers -- 1.2. Ecosystem services: The environmental components -- 1.3. Delivery of goods and services -- 1.4. Biodiversity as support for ecosystem services and human wellbeing -- 1.5. The cost of greening: Disservices of urban trees -- 1.6. Case studies: Modeling the atmospheric benefits of urban greening -- 1.7. Assessing the ecosystem services deliverable: The critical role of the Urban Tree Inventory -- 1.8. Species-specific information for enhancing ecosystem services -- 1.9. Conclusions and recommendations -- 2. Socio-cultural services provided by urban forests and green infrastructure -- 2.1. Introduction: Socio cultural services of urban forests and green infrastructure -- 2.2. Social and environmental justice: Diversity in access to and benefits from urban green infrastructure – examples from Europe -- 2.3. Recreational use of urban green infrastructure: the tourist’s perspective -- 2.4. The role and value of urban forests and green infrastructure in promoting human health and wellbeing -- 3. Economic benefits and governance of urban forests in a green infrastructure approach -- 3.1. Introduction: Governance and economic valuation -- 3.2. Challenges to governing urban green infrastructure in Europe – the case of the European Green Capital Award -- 3.3. The role of partnerships and the Third Sector in the development and delivery of urban forestry and green infrastructure -- 3.4. The Value of Valuing: Recognising the benefits of the Urban Forest -- 4. Summary -- 4.1. Introduction: Tying it all together -- 4.2. Linking the environmental, social and economic aspects of urban forestry and green infrastructure -- 4.3. Growing the Urban Forest: our Practitioners’ Perspective -- Subject index. . This book focuses on urban "green infrastructure" – the interconnected web of vegetated spaces like street trees, parks and peri-urban forests that provide essential ecosystem services in cities. The green infrastructure approach embodies the idea that these services, such as storm-water runoff control, pollutant filtration and amenities for outdoor recreation, are just as vital for a modern city as those provided by any other type of infrastructure. Ensuring that these ecosystem services are indeed delivered in an equitable and sustainable way requires knowledge of the physical attributes of trees and urban green spaces, tools for coping with the complex social and cultural dynamics, and an understanding of how these factors can be integrated in better governance practices. By conveying the findings and recommendations of COST Action FP1204 GreenInUrbs, this volume summarizes the collaborative efforts of researchers and practitioners from across Europe to address these challenges. . Engineering SPR201703 SzGeCERN Engineering SPR Earth sciences SPR Life sciences SPR Environment SPR Social sciences SPR Earth Sciences SPR Earth Sciences, general SPR Life Sciences, general SPR Environment, general SPR Social Sciences, general BOOK Pearlmutter, David ed. Calfapietra, Carlo ed. Samson, Roeland ed. O'Brien, Liz ed. Ostoić, Silvija ed. Sanesi, Giovanni ed. Amo, Rocío ed. SPR n 201709 201703 21 PUBLIC https://catalogue.library.cern/legacy/2253883 BOOK MIGRATED 2253881 SzGeCERN 20210421211924.0 9789811038204 print version 9789811038211 electronic version electronic version DOI 10.1007/978-981-10-3821-1 ebook oai:cds.cern.ch:2253881 cerncds:BOOK eng TJ265 QC319.8-338.5 621.4021 23 Ming, Tingzhen Pollutant dispersion in built environment Singapore Springer 2017 ebook Fluid flow and heat transfer models in built environment -- Heat transfer and pollutant dispersion in built environment -- Energy generation and pollutant absorption in a novel building. . This book discusses energy transfer, fluid flow and pollution in built environments. It provides a comprehensive overview of the highly detailed fundamental theories as well as the technologies used and the application of heat and mass transfer and fluid flow in built environments, with a focus on the mathematical models and computational and experimental methods. It is a valuable resource for researchers in the fields of buildings and environment, heat transfer and global warming. Engineering SPR201703 SzGeCERN Engineering SPR Environmental sciences SPR Pollution prevention SPR Energy Efficiency SPR Math Appl in Environmental Science SPR Industrial Pollution Prevention BOOK Peng, Chong Gong, Tingrui Li, Zhengtong SPR n 201709 201703 21 PUBLIC https://catalogue.library.cern/legacy/2253881 BOOK MIGRATED 2253864 SzGeCERN 20210421211928.0 9783319507866 print version 9783319507873 electronic version electronic version DOI 10.1007/978-3-319-50787-3 ebook oai:cds.cern.ch:2253864 cerncds:BOOK eng TJ265 QC319.8-338.5 621.4021 23 Dixon, John M Mixed convection in fluid superposed porous layers Cham Springer 2017 ebook SpringerBriefs in applied sciences and technology 2191-530x Introduction -- Mathematical Formulation and Numerical Methods -- Numerical Results -- Measurement of Heat Transfer Coefficients -- Summary of Findings -- References -- Appendices. This Brief describes and analyzes flow and heat transport over a liquid-saturated porous bed. The porous bed is saturated by a liquid layer and heating takes place from a section of the bottom. The effect on flow patterns of heating from the bottom is shown by calculation, and when the heating is sufficiently strong, the flow is affected through the porous and upper liquid layers. Measurements of the heat transfer rate from the heated section confirm calculations. General heat transfer laws are developed for varying porous bed depths for applications to process industry needs, environmental sciences, and materials processing. Addressing a topic of considerable interest to the research community, the brief features an up-to-date literature review of mixed convection energy transport in fluid superposed porous layers. Engineering SPR201703 SzGeCERN Engineering SPR Thermodynamics SPR Heat engineering SPR Heat transfer SPR Mass transfer SPR Engineering SPR Materials science SPR Engineering Thermodynamics, Heat and Mass Transfer SPR Materials Engineering SPR Characterization and Evaluation of Materials BOOK Kulacki, Francis A SPR n 201709 201703 21 PUBLIC https://catalogue.library.cern/legacy/2253864 BOOK MIGRATED 2253861 SzGeCERN 20210421211928.0 9783319498775 print version 9783319498799 electronic version electronic version DOI 10.1007/978-3-319-49879-9 ebook oai:cds.cern.ch:2253861 cerncds:BOOK eng Q342 006.3 23 Recent advances in technologies for inclusive well-being from worn to off-body sensing, virtual worlds, and games for serious applications Cham Springer 2017 ebook Intelligent systems reference library 1868-4394 119 Part 1: Literature Reviews and Taxonomies -- Chapter 1_ An Overview of Recent Advances in Technologies of Inclusive Well-Being: Wearables, Virtual Interactive Spaces Wearables, Virtual Interactive Spaces (VIS)/Virtual Reality, Authoring tools, and Games -- Chapter 2, entitled “An Overview of Serious Game Engines and Frameworks,” Brent Cowan and Bill Kapralos -- Chapter 3, “A Review of and Taxonomy for Computer Supported Neuro-Motor Rehabilitation Systems,” Lucas Stephenson and Anthony Whitehead -- Part 2: Physical Therapy- Chapter 4, “A Customizable Virtual Reality Framework for the Rehabilitation of Cognitive Functions,” Gianluca Paravati, Valeria Maria Spataro, Fabrizio Lamberti, Andrea Sanna, and Claudio Giovanni Demartini -- Chapter 5, entitled “Technology for standing up and balance training in rehabilitation of people with neuromuscular disorders,” Imre Cikajlo, Andrej Olenšek, Matjaž Zadravec, and Zlatko Matjaèiæ -- Chapter 6, entitled “Exergaming for Shoulder-Based Exercise and Rehabilitation,” Alvaro Uribe-Quevedo and Bill Kapralos -- Chapter 7, entitled “Development of an Occupational Health Care Exergaming Prototype Suite,” Alvaro Uribe-Quevedo, Sergio Valdivia, Eliana Prada, Mauricio Navia, Camilo Rincon, Estefania Ramos, Saskia Ortiz, and Byron Perez -- Chapter 8, “Game-Based Stroke Rehabilitation by Mehran Kamkarhaghighi, Pejman Mirza-Babaei, and Khalil El-Khatib -- Part 3: Touch and Wearables- Chapter 9, entitled “Multi-sensory environmental stimulation for users with multiple disabilities,” Cristina Manresa-Yee, Ann Morrison, Joan Jordi Muntaner, and Maria Francesca Roig-Maimó -- Chapter 10, entitled “Interactive Furniture: Bi-directional Inter-action with a Vibrotactile Wearable Vest in an Urban Space,” Ann Morrison, Jack Leegaard, Cristina Manresa-Yee, Walther Jensen, and Hendrik Knoche -- Chapter 11, “The Acceptance, Challenges, and Future Applications of Wearable Technology and Virtual Reality to Support People with Autism Spectrum Disorders”, authors Nigel Newbutt, Connie Sung, Hung Jen Kuo, and Michael. J Leahy -- Part 4: Special Needs- Chapter 12, “Nursing Home Residents vs. Researcher: Establishing Their Needs while Finding Your Way,” Jon Ram Bruun-Pedersen -- Part 5: Ethics and Accessibility- Chapter 13, “Digital Ethics: ‘Ethical’ considerations of post-research ICT impact”, Anthony Brooks -- Chapter 14, “Accessibility:Definition, Labeling, and CVAA impact”, Brooks. This book presents current innovative, alternative and creative approaches that challenge traditional mechanisms in and across disciplines and industries targeting societal impact. A common thread throughout the book is human-centered, uni and multi-modal strategies across the range of human technologies, including sensing and stimuli; virtual and augmented worlds; games for serious applications;accessibility; digital-ethics and more. Focusing on engaging, meaningful, and motivating activities that at the same time offer systemic information on human condition, performance and progress, the book is of interest to anyone seeking to gain insights into the field, be they students, teachers, practicing professionals, consultants, or family representatives. By offering a wider perspective, it addresses the need for a core text that evokes and provokes, engages and demands and stimulates and satisfies. Engineering SPR201703 SzGeCERN Engineering SPR Rehabilitation BOOK Brooks, Anthony ed. Brahnam, Sheryl ed. Kapralos, Bill ed. Jain, Lakhmi ed. SPR n 201709 201703 21 PUBLIC https://catalogue.library.cern/legacy/2253861 BOOK MIGRATED 2261614 SzGeCERN 20210409040207.0 DOI EDP Sciences 10.1051/epjconf/201612700014 oai:inspirehep.net:1504301 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS oai:inspirehep.net:1504301 http://old.inspirehep.net/oai2d Inspire 2021-04-08T13:47:00Z 2021-04-09T02:00:03Z marcxml true Inspire 1504301 arXiv arXiv:1712.09434 physics.ins-det eng Rohr, David INSPIRE-00248142 Frankfurt U., FIAS Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany EDP Sciences Online Reconstruction and Calibration with Feedback Loop in the ALICE High Level Trigger Online Reconstruction and Calibration with feed back loop in the ALICE High Level Trigger arXiv 2016-11-15 2017-12-26 13 p arXiv 13 pages, 7 figures, proceedings to Connecting The Dots Workshop, Vienna, 2016 EDP Sciences ALICE (A Large Heavy Ion Experiment) is one of the four large scale experimentsat the Large Hadron Collider (LHC) at CERN. The High Level Trigger (HLT) is an online computing farm, which reconstructs events recorded by the ALICE detector in real-time. The most computing-intensive task is the reconstruction of the particle trajectories. The main tracking devices in ALICE are the Time Projection Chamber (TPC) and the Inner Tracking System (ITS). The HLT uses a fast GPU-accelerated algorithm for the TPC tracking based on the Cellular Automaton principle and the Kalman filter. ALICE employs gaseous subdetectors which are sensitive to environmental conditions such as ambient pressure and temperature and the TPC is one of these. A precise reconstruction of particle trajectories requires the calibration of these detectors. As our first topic, we present some recent optimizations to our GPU-based TPC tracking using the new GPU models we employ for the ongoing and upcoming data taking period at LHC. We also show our new approach to fast ITS standalone tracking. As our second topic, we present improvements to the HLT for facilitating online reconstruction including a new flat data model and a new data flow chain. The calibration output is fed back to the reconstruction components of the HLT via a feedback loop. We conclude with an analysis of a first online calibration test under real conditions during the Pb-Pb run in November 2015, which was based on these new features. arXiv ALICE (A Large Heavy Ion Experiment) is one of the four large scale experiments at the Large Hadron Collider (LHC) at CERN. The High Level Trigger (HLT) is an online computing farm, which reconstructs events recorded by the ALICE detector in real-time. The most compute-intense task is the reconstruction of the particle trajectories. The main tracking devices in ALICE are the Time Projection Chamber (TPC) and the Inner Tracking System (ITS). The HLT uses a fast GPU-accelerated algorithm for the TPC tracking based on the Cellular Automaton principle and the Kalman filter. ALICE employs gaseous subdetectors which are sensitive to environmental conditions such as ambient pressure and temperature and the TPC is one of these. A precise reconstruction of particle trajectories requires the calibration of these detectors. As first topic, we present some recent optimizations to our GPU-based TPC tracking using the new GPU models we employ for the ongoing and upcoming data taking period at LHC. We also show our new approach for fast ITS standalone tracking. As second topic, we present improvements to the HLT for facilitating online reconstruction including a new flat data model and a new data flow chain. The calibration output is fed back to the reconstruction components of the HLT via a feedback loop. We conclude with an analysis of a first online calibration test under real conditions during the Pb-Pb run in November 2015, which was based on these new features. EDP Sciences CC-BY-4.0 http://creativecommons.org/licenses/by/4.0/ SzGeCERN Detectors and Experimental Techniques SzGeCERN Nuclear Physics - Experiment CERN CERN LHC ALICE Shahoyan, Ruben INSPIRE-00125510 CERN CERN, Geneva, Switzerland Zampolli, Chiara INSPIRE-00247387 CERN INFN, Bologna CERN, Geneva, Switzerland INFN Sezione Bologna, Italy Krzewicki, Mikolaj INSPIRE-00248715 Frankfurt U., FIAS Goethe U., Frankfurt (main) Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany Goethe University, Frankfurt, Germany Wiechula, Jens INSPIRE-00290727 Goethe U., Frankfurt (main) Goethe University, Frankfurt, Germany Gorbunov, Sergey INSPIRE-00262379 Frankfurt U., FIAS Goethe U., Frankfurt (main) Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany Goethe University, Frankfurt, Germany Chauvin, Alex INSPIRE-00548342 Munich, Tech. U. Technical University, Munich, Germany Schweda, Kai INSPIRE-00244251 Heidelberg U. University of Heidelberg, Germany Lindenstruth, Volker INSPIRE-00171460 Frankfurt U., FIAS Goethe U., Frankfurt (main) Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany Goethe University, Frankfurt, Germany Volker Lindenstruth for the ALICE Collaboration 00014 C16-02-22.1 2016 EPJ Web Conf. 127 1308968 570812 http://cds.cern.ch/record/2261614/files/epjconf_dots2016_00014.pdf Fulltext 1376998 285441 http://cds.cern.ch/record/2261614/files/arXiv:1712.09434.pdf Preprint 1377090 4034 http://cds.cern.ch/record/2261614/files/plot-calib-merger.png 00004 Illustration of the merging of calibration objects. 1377091 4758 http://cds.cern.ch/record/2261614/files/plot-its-tracker.png 00001 Approach for ITS tracking in the HLT with two branches. The lower branch runs the ITS standalone tracer providing ITS tracks in any case. The upper branch uses TPC to ITS prolongation resulting in a higher efficiency, but it needs a calibrated TPC in order to achieve reasonable resolution. 1377092 95225 http://cds.cern.ch/record/2261614/files/plot-hlt-overview.png 00002 Overview of all processing components and data flow in the HLT. 1377093 19943 http://cds.cern.ch/record/2261614/files/plot-calib-scheme.png 00000 Illustration of the approach for online calibration. The blue boxes are the intervals where the calibration data is aggregated. Afterwards there is a short delay to prepare new TPC transformation maps based on the calibration and distribute them in the cluster (brown box). Finally, the HLT reconstruction uses the calibration as long as it is stable (purple box). 1377094 15657 http://cds.cern.ch/record/2261614/files/gp_flat_esd.png 00006 Time needed for different steps in the creation and manipulation of the standard and flat ESDs as a function of the track multiplicity of the event, obtained processing Pb-Pb (from 2015) events. 1377095 9867 http://cds.cern.ch/record/2261614/files/gp_flat_esd_task.png 00003 Time needed for different steps in the creation and manipulation of the standard (without friends) and flat ESDs as a function of the track multiplicity of the event, obtained processing Pb-Pb (from 2015) events. 1377096 12777 http://cds.cern.ch/record/2261614/files/gp_flat_esd_no_friends.png 00005 Time needed for different steps in the creation and manipulation of the standard and flat ESDs as a function of the track multiplicity of the event. 2287814 285441 http://cds.cern.ch/record/2261614/files/1712.09434.pdf Fulltext 13 2136003 vienna20160222 00014 ARTICLE ConferencePaper 2260656 SzGeCERN 20210421211603.0 0486681092 print version, paperback 9780486681092 electronic version electronic version 9780486681092 print version, paperback 9780486783178 electronic version electronic version oai:cds.cern.ch:2260656 cerncds:BOOK eng 536.7 Hill, Terrel L Thermodynamics of small systems two volumes bound as one Dover ed. New York, NY Dover 1994 210 p paper This Dover edition, first published in 1994, is an unabridged (except for the Editor's Foreword to Part I, which was exclusively concerned with the book's original series and has been dropped), slightly corrected republication in one volume of the work originally published in two volumes by W. A. Benjamin, Inc., New York, in 1963 and 1964 (in the "Frontiers in Chemistry" series). Title Page -- Copyright Page -- Thermodynamics of Small Systems Part 1 -- Dedication -- Preface -- Contents -- Chapter 1. Introduction -- 1-1. Environmental Variables μ, V, T -- 1-2. Statistical Mechanical Digression -- 1-3. Other Environments -- 1-4. General Treatment of Environments -- Chapter 2. Environmental Variables N, p, T -- 2-1. Thermodynamic Relations -- 2-2. Applications to Theoretical Models -- 2-3. Solvent Effects -- Chapter 3. Environmental Variables N, T -- 3-1. Incompressible Small System -- 3-2. Invariable Pressure -- 3-3. Dilute Gas of Small Systems -- Chapter 4. Environmental Variables N1, …, Nc, p, T -- 4-1. General Relations -- 4-2 Solvent Effects -- 4-3. Environmental Variables N1, …, Nc, T -- 4-4. Binary Bragg-Williams Crystallite -- 4-5. Dilute and Ideal Solutions -- Chapter 5. Chemical and Phase Equilibria -- 5-1 Spontaneous Processes and Criteria for Equilibrium -- 5-2. Chemical Equilibrium -- 5-3. Isomeric Equilibrium in Two-Component System -- 5-4. First-Order Phase Transitions in N, p, T Systems -- Chapter 6. Environmental Variables μ, V, T -- 6-1. Transcription of Chapter 2 and Section 5-4 to μ, V, T Case -- 6-2. Applications to Theoretical Models -- Reprint Thermodynamics of Small Systems, by Terrell L. Hill. J. Chem. Phys., 36, no. 12, pp. 3182-3197 (1962) -- Index -- Thermodynamics of Small Systems Part 2 -- Preface -- Dedication -- Contents -- Corrections and Comments On Part I -- Chapter 7. Environmental Variables N1, μ2, p, T -- 7-1. Basic Equations -- 7-2. Small Systems in Solvent or Gas -- 7-3. Isomeric Equilibrium with Binding -- Chapter 8. Environmental Variables N, V, T -- 8-1. Thermodynamic Relations -- 8-2. Phase Transitions -- Chapter 9. Environmental Variables N, V, E -- Chapter 10. Environmental Variables μ, p, T -- 10-1. Basic Equations for Ensemble of Distinguishable Systems. 10-2. Applications to Theoretical Models -- 10-3. Subdivision Potential and Stability Conditions -- 10-4. Phase Transitions in μ, p, T Systems -- 10-5. N1, μ2, p, T Systems with N1 Constant -- 10-6. Small Systems in Solvent or Gas -- 10-7. Interacting Small Systems in Solution -- Chapter 11. Electric and Magnetic Fields -- 11-1. Electric Field -- 11-2. Solvent Effects in an Electric Field -- 11-3. Magnetic Field -- Chapter 12. Spherical Drops and Bubbles -- 12-1. Small System Thermodynamic Functions -- 12-2. Relation to the Gibbs Method -- Chapter 13. Polydisperse Systems -- 13-1. Small System Equations -- 13-2. Small Systems in Solution -- Chapter 14. Higher Moments of Distribution Functions -- Chapter 15. Difference Equations and Very Small Systems -- 15-1. N, p, T Systems -- 15-2. μ, B, T Systems -- 15-3. N, V, T Systems -- 15-4. N, B, T Systems -- Appendix -- Index. This authoritative summary of the basics of small system, or nonmacroscopic, thermodynamics was written by the field's founder. Originally published in two volumes, the text remains essential reading in an area in which the practical aim is to derive equations that provide interconnections among various thermodynamic functions. Part I introduces the basics of small system thermodynamics, exploring environmental variables, noting throughout the ways in which small thermodynamic systems differ operationally from macroscopic systems. Part II explores binding on macromolecules and aggregation, completes the discussion of environmental variables, and includes brief summaries of certain special topics, including electric and magnetic fields, spherical drops and bubbles, and polydisperse systems. Authoritative summary introduces basics, explores environmental variables, examines binding on macromolecules and aggregation, and includes brief summaries of electric and magnetic fields, spherical drops and bubbles, and polydisperse systems. 1963 and 1964 editions. Gift : Picasso, Emilio EBLlink deleted SzGeCERN Other Fields of Physics BOOK 1st ed. 1963 pt.1 231771 edition CERN Depot 1, bldg. 2 (DE1) 536.7 HIL h 201716 21 https://catalogue.library.cern/legacy/2260656 BOOK MIGRATED 2260046 SzGeCERN 20171214170515.0 9789811028212 129 (NL),129 (1U) electronic version EBL 4816312 eng QC71.82-73.8 621.042 Kasahara, Naoto Fast reactor system design Singapore Springer Singapore 2017 307 p An advanced course in nuclear engineering 8 Series Aims and Scopes -- Preface -- Contents -- Editor, Authors, and Collaborators -- Author and Editor -- Authors -- Collaborators -- Chapter 1: Designing a New Reactor -- 1.1 Thinking Process and Design Methods for a New Reactor -- 1.1.1 New Technology Creation and Design Methodology -- 1.1.2 Thinking Process on New Reactor Design -- 1.1.3 Actual Design and Constraints -- 1.2 Research and Development -- 1.2.1 Roles of Reactors in Research and Development -- 1.2.2 Basic and Mock-Up Tests -- 1.2.3 Using Numerical Simulation -- 1.3 Design, Construction and Operation 1.3.1 Design Standards and Design -- 1.3.2 Construction and Operation Experience -- 1.3.3 Development Organizations and Systems -- Further Readings -- References -- Chapter 2: Purpose and History of Fast Reactors -- 2.1 Continual Use of Nuclear Energy -- 2.1.1 Release from the Restrictions of Uranium Resources -- 2.1.2 Reduction of Environmental Burden of High-Level Radioactive Waste -- 2.1.3 Targets of FR Development -- 2.2 Development History of FRs -- 2.2.1 Changes in Coolant -- 2.2.2 Changes in Core and Fuel -- 2.2.3 Major Accident/Trouble Experiences 2.3 Present Development Situations of FRs -- 2.3.1 Situations by Country -- 2.3.2 International Cooperation -- Further Readings -- References -- Chapter 3: Plant Concepts and Mechanisms -- 3.1 Mechanism of Breeding -- 3.1.1 Fission and Plutonium Generation by Fast Neutrons -- 3.1.2 Mechanism of Fast Neutron Utilization -- 3.2 Mechanism for the Reduction of Toxicity in High-Level Radioactive Waste -- 3.3 Heat Transport for Core Cooling and Power Generation Using Liquid Metal Sodium -- 3.3.1 Liquid Metal Coolant Suitable for the Use of Fast Neutrons 3.3.2 Sodium-Cooled Fast Reactor Plant System: Heat Transport from Reactor Core to Steam Turbine -- 3.3.3 Plant System Suitable for Liquid Metal Coolant with a High Boiling Point -- Reference -- Chapter 4: Policy of Safety Assurance (Design Constraints and Additional Functional Requirements) -- 4.1 Fundamental Philosophy of Safety Assurance for Nuclear Reactor Facilities -- 4.1.1 Safety Goals and Risk Management -- 4.1.2 Policy of Safety Assurance (Defense in Depth and Fundamental Safety Function) -- 4.1.3 Measures against Severe Accident 4.2 Characteristics of Fast Reactors and Basic Policy of Safety Assurance -- 4.2.1 Safety Characteristics of Fast Reactors [7] -- 4.2.2 Safety Approach of Fast Reactors -- 4.2.3 Safety Requirements and Safety Evaluation of Fast Reactors -- 4.3 Measures to Satisfy the Requirements of Safety Functions Specific to Fast Reactors -- 4.3.1 Characteristics of Core Fuels and Associated Safety Measures -- 4.3.2 Safety Measures Associated with Usage of Sodium -- 4.3.3 Severe Accident Measures of Fast Reactors -- References -- Chapter 5: Mind-Set Required to Ensure Structural Integrity (Design Constraints) 5.1 Mind-Set Required to Ensure the Structural Integrity of Reactor Facilities 9789811028205 print version oai:cds.cern.ch:2260046 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4816312 ebook ebook EBL201704 Engineering SzGeCERN BOOK n 201715 201704 21 PUBLIC BOOK DELETED 2260029 SzGeCERN 20180612223802.0 9781317628279 187.5 (3U),150 (1U) electronic version EBL 4813454 eng 621.042 Spataru, Catalina Whole energy system dynamics theory, modelling and policy Florence, SC Taylor and Francis 2016 245 p Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- List of illustrations -- Preface -- Acknowledgements -- List of abbreviations -- Part I Theory and history -- 1 Global energy systems: a historical perspective -- 1.1 The three pillars of human development and progress -- 1.2 People in time and space -- 1.3 Spatial scale, location and time scale -- 1.4 Historical background since the concept of the 'whole' energy system started (1800-) -- 2 Scales and systems interactions across multiple energy domains -- 2.1 Scales and systems integration from residential to national 2.2 Scales and systems integration across multiple energy (and non-energy) domains -- 3 Whole energy system components -- 3.1 Overview of the whole energy system -- 3.2 Energy demand -- 3.3 Energy supply -- 3.4 Energy storage -- 3.5 Super grids -- 3.6 Synergies and hindrance -- 4 Brief overview of energy systems models and methodologies -- 4.1 Current developments in energy systems models -- 4.2 Grouping the underlying methodology of energy systems models -- 5 Discrepancies in energy systems models: actual vs forecast -- 5.1 Primary energy demand: a comparison -- 5.2 Primary energy mix 5.3 Electricity generation -- 5.4 Renewable energy share -- 5.5 Environmental impact -- 5.6 Conclusions -- 6 Drivers and challenges for energy systems modelling for the twenty-first century and of future WES integration -- 6.1 Drivers of the future whole system scene -- 6.2 The changing global energy scene -- 6.3 Challenges in the energy systems -- 6.4 Concluding remarks -- 7 Worldwide conversation about energy systems integration -- 7.1 Worldwide conversation apropos energy systems integration -- 7.2 Shortcomings of existing work -- Part II Modelling: challenges and discussions 8 Why do mathematical modelling? -- 9 Indicators and their role in models -- 9.1 Energy efficiency indicators -- 9.2 Resource efficiency indicators -- 9.3 Indicators for sustainable development -- 9.4 Indicators for the resource nexus -- 9.5 Spatial indicators (GIS) -- 10 Research challenges -- 10.1 Energy demand -- 10.2 Energy supply -- 10.3 Energy storage -- 10.4 Power-to-gas -- 10.5 Energy: centralisation versus decentralisation -- 10.6 The need for a 'whole' integrated approach -- 10.7 Scenarios: results vs reality -- 11 Performance of multi-scale energy systems 11.1 Modelling technology performance in buildings - the case of heat pumps -- 11.2 The concept of load profiles -- 11.3 Peak load factor -- 11.4 Modelling energy demand and supply at the temporal-spatial scale at different levels in the energy system -- 11.5 Interrelation with other resources: energy-water-land nexus -- 11.6 Regional-level/super grid energy systems -- 11.7 Case studies -- 11.8 Existing models and gaps -- 11.9 Proposed methodology and initial results -- 11.10 The global energy grid -- 11.11 How to unlock the potential of renewable energy around the world 12 Problems/gaps/research questions and issues 9781138799899 print version oai:cds.cern.ch:2260029 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4813454 ebook ebook EBL201704 Engineering SzGeCERN BOOK n 201715 201704 21 PUBLIC BOOK DELETED 2260018 SzGeCERN 20171214170514.0 9783319523385 179 (NL),179 (1U) electronic version EBL 4800178 eng QA276.S46 2017 519.5 Şen , Zekâi Innovative trend methodologies in science and engineering Cham Springer International Publishing 2017 360 p Preface -- Contents -- 1 Introduction -- Abstract -- 1.1 General -- 1.2 Trend Definition and Analysis -- 1.2.1 Conceptual and Visual Trends -- 1.2.2 Mathematical Trend -- 1.2.3 Statistical Trend -- 1.3 Trend in Some Disciplines -- 1.3.1 Atmospheric Sciences -- 1.3.2 Environmental Sciences -- 1.3.3 Earth Sciences -- 1.3.4 Engineering -- 1.3.5 Global Warming -- 1.3.6 Climate Change -- 1.3.7 Social Sciences -- 1.3.7.1 Economy -- 1.3.7.2 Business -- 1.3.7.3 Health -- 1.4 Pros and Cons of Trend Analysis -- 1.5 Future Research Directions -- 1.6 Purpose of This Book -- References 2 Uncertainty and Time Series -- Abstract -- 2.1 General -- 2.2 Random and Randomness -- 2.3 Empirical Frequency and Distribution Function -- 2.3.1 Empirical Frequency and Trend -- 2.4 Theoretical Probability Distribution Function (Pdf) -- 2.5 Statistical Modeling -- 2.5.1 Deterministic-Uncertain Model -- 2.5.2 Probabilistic-Statistical Model -- 2.5.3 Transitional Probability Model -- 2.6 Stochastic Models -- 2.6.1 Homogeneity (Consistency) -- 2.6.2 Stationarity -- 2.6.3 Periodicity (Seasonality) -- 2.6.3.1 Known Period Case -- 2.7 Time Series Truncation -- 2.7.1 Statistical Truncations 2.8 Data Smoothing -- 2.8.1 Moving Averages -- 2.8.2 Difference Smoothing -- 2.9 Jump (Shift) -- 2.10 Correlation Coefficients -- 2.10.1 Pearson Correlation Coefficient -- 2.10.2 Kendall Correlation Coefficient -- 2.10.3 Spearman Correlation Coefficient -- 2.11 Persistence/Nonrandomness -- 2.11.1 Short-Memory (Correlation) Components -- 2.11.2 Long-Memory (Persistence) Component -- 2.11.2.1 Rescaled Range and Hurst Phenomenon -- References -- 3 Statistical Trend Tests -- Abstract -- 3.1 General -- 3.2 Nonparametric Tests -- 3.2.1 Data Ordering (Ranks) -- 3.3 Statistical Tests 3.3.1 Wald-Wolfowitz -- 3.3.2 Sign Test -- 3.3.3 Sign Difference Test -- 3.3.4 Run Test -- 3.3.5 Mann-Whitney (MW) Test -- 3.3.6 Kruskal-Wallis (KW) Test -- 3.3.7 Nonparametric Correlation Coefficient -- 3.3.8 Spearman's Rho Test of Trend -- 3.3.9 Turning Point Test -- 3.3.10 Mann-Kendall (MK) Test -- 3.3.10.1 Mann-Kendall Trend Search -- 3.3.10.2 Sen Slope Estimator -- 3.3.10.3 Spearman's Tau -- 3.3.10.4 Regression Trend -- 3.3.11 Two-Sample Wilcoxon Test -- 3.3.11.1 Signed-Wilcoxon Test -- 3.3.11.2 Wilcoxon Signed Rank Test -- 3.3.12 von Neuman Test -- 3.3.13 Cumulative Departures Test 3.3.13.1 Cumulative Deviations -- 3.3.14 Bayesian Test -- 3.3.15 Relative Error Test -- 3.3.16 t Test -- 3.3.17 Cramer Test -- 3.3.18 F Test -- 3.3.19 Truncation Test -- 3.3.20 Deviations Test -- 3.3.21 Subtraction Test -- 3.3.22 Şen Autorun Test -- 3.3.23 Seasonal Kendall Test -- 3.4 Unit Root Model Trend Determination -- 3.4.1 Integration and Dickey-Fuller (DF) Test -- 3.4.2 The Kwiatkowski, Phillips, Schmidt, and Shin Test -- 3.4.3 Critical Values of the KPSS Test -- 3.4.4 Empirical Power of the KPSS -- 3.4.5 Example: Comparison of the DF and KPSS Tests for Several Macro-Economic Time Series 3.4.5.1 Test of Stationarity Around Mean 9783319523378 print version oai:cds.cern.ch:2260018 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4800178 ebook ebook EBL201704 Mathematical Physics and Mathematics SzGeCERN BOOK n 201715 201704 21 PUBLIC BOOK DELETED 2260014 SzGeCERN 20210421211635.0 9781118826065 print version 9781118826119 electronic version 222.75 (NL),222.75 (3U),148.5 (1U) electronic version oai:cds.cern.ch:2260014 cerncds:BOOK EBL 4799579 eng TK1541.H367 2017 621.31213600000001 Hansen, Colin H Wind farm noise measurement, assessment Somerset John Wiley & Sons, Incorporated 2017 626 p ebook Wiley series in acoustics noise and vibration Cover -- Title Page -- Copyright -- Dedication -- Contents -- Wiley Series in Acoustics, Noise and Vibration -- Preface -- Chapter 1 Wind Energy and Noise -- 1.1 Introduction -- 1.2 Development of the Wind Energy Industry -- 1.2.1 Early Development Prior to 2000 -- 1.2.2 Development since 2000 -- 1.2.3 Support Received by the Wind Industry -- 1.3 History of Wind Turbine Noise Studies -- 1.3.1 Modern Wind Turbine Sound Power Levels -- 1.4 Current Wind Farm Noise Guidelines and Assessment Procedures -- 1.4.1 ETSU-R-97 (used mainly in the UK and Ireland) 1.4.2 National Planning Policy Framework for England -- 1.4.3 World Health Organisation Guidelines -- 1.4.4 DEFRA Guidelines -- 1.4.5 Noise Perception Index -- 1.5 Wind Farm Noise Standards -- 1.5.1 General Environmental Noise Standards -- 1.5.2 IEC 61400-11 -- 1.5.3 NZS6808 -- 1.5.4 AS4959 -- 1.6 Regulations -- 1.6.1 What Should be Included in a Wind Farm Noise Regulation -- 1.6.2 Existing Noise Ordinances and Regulations -- 1.7 Inquiries and Government Investigations -- 1.7.1 Australia 2010-2014 -- 1.7.2 Canada -- 1.7.3 Denmark 2013 -- 1.7.4 Northern Ireland 2013 -- 1.7.5 Scotland 1.7.6 Wales -- 1.8 Current Consensus on Wind Farm Noise -- References -- Chapter 2 Fundamentals of Acoustics and Frequency Analysis -- 2.1 Introduction -- 2.2 Basic Acoustics Concepts -- 2.2.1 Root Mean Square Sound Pressure -- 2.2.2 Statistical Descriptors and Their Use -- 2.2.3 Amplitude, Frequency, Wavelength, Wavenumber and Speed for Single-frequency Sound -- 2.2.4 Units for Sound Pressure Measurement -- 2.2.5 Sound Power -- 2.2.6 Beating -- 2.2.7 Amplitude Modulation and Amplitude Variation -- 2.2.8 Decibel Addition -- 2.2.9 Decibel Subtraction -- 2.2.10 Noise Source Directivity 2.2.11 Weighting Networks -- 2.2.12 Noise Level Measures -- 2.2.13 Sound in Rooms -- 2.3 Basic Frequency Analysis -- 2.3.1 Digital Filtering -- 2.3.2 Octave Band and 1/3-Octave Band Analysis -- 2.3.3 Octave and 1/3-Octave Filter Rise and Settling times -- 2.4 Advanced Frequency Analysis -- 2.4.1 Auto Power Spectrum and Power Spectral Density -- 2.4.2 Linear Spectrum -- 2.4.3 Leakage -- 2.4.4 Windowing -- 2.4.5 Sampling Frequency and Aliasing -- 2.4.6 Overlap Processing -- 2.4.7 Zero Padding -- 2.4.8 Uncertainty Principle -- 2.4.9 Time Synchronous Averaging and Synchronous Sampling 2.4.10 Hilbert Transform -- 2.4.11 Cross-spectrum -- 2.4.12 Coherence -- 2.4.13 Frequency-response (or Transfer) Function -- 2.4.14 Coherent Output Power -- 2.4.15 Convolution -- 2.4.16 Auto-correlation and Cross-correlation Functions -- 2.4.17 Maximum Length Sequence -- 2.5 Summary -- References -- Chapter 3 Noise Generation -- 3.1 Introduction -- 3.1.1 Definitions -- 3.2 Aeroacoustics -- 3.2.1 Turbulence and Sound -- 3.2.2 The Effect of Solid Surfaces -- 3.2.3 The Effect of Moving Solid Surfaces -- 3.3 Aerodynamic Noise Generation on Wind Turbines 3.3.1 The Aerodynamic Environment of a Wind Turbine EBL201704 SzGeCERN Engineering BOOK Doolan, Con Hansen, Kristy https://cds.cern.ch/auth.py?r=EBLIB_P_4799579 ebook 201704 n 201715 21 PUBLIC https://catalogue.library.cern/legacy/2260014 BOOK MIGRATED 2259997 SzGeCERN 20200715221054.0 9781785780820 print version 9781785780837 electronic version 5.99 (NL),8.99 (UA),7.49 (3U),5.99 (1U) electronic version oai:cds.cern.ch:2259997 cerncds:BOOK EBL 4793258 eng QA269.P378 2017 519.29999999999995 Pastine, Ivan Introducing game theory a graphic guide London Icon Books Ltd 2017 194 p Introducing Contents -- Title Page -- Copyright -- Why is it called "game theory"? -- Working with models -- "It's a draw." -- Dealing with complexity: art and science -- Rationality -- Keynes' Beauty Contest -- Thaler's Guessing Game -- Problems with rationality and common knowledge of rationality -- Booms and crashes: applying rationality to financial markets -- Simultaneous-move games -- Strategic form of the game -- Payoffs -- Nash equilibrium -- Prisoners' Dilemma -- Pareto efficiency -- Network engineering -- The tragedy of the commons -- Nuclear build-up -- Cooperation -- Education Environmental policy and cooperation -- Multiplicity of equilibria -- Multiplicity of equilibria: Battle of the Sexes -- Social norms -- Coordination devices -- Banking and expectations: bank runs -- Mixed-strategy Nash equilibrium -- The Currency Speculation Game -- The Chicken Game -- The Exit Game -- Criticism and defence of mixed strategies -- Tax evasion -- Repeated interaction -- At the end of the game -- What if there is no definite last stage? -- Prisoners' Dilemma experiment -- Evolutionary game theory -- Hawk-Dove Game -- The Hawk-Dove Game with small cost of conflict The Hawk-Dove Game with large cost of conflict -- Evolutionary stability as an equilibrium refinement -- Sequential-move games -- A dynamic Battle of Sexes Game -- The extensive form of the game -- Subgame perfection -- Non-credible threats -- Credit markets -- Microcredit -- Nuclear deterrence -- Information problems -- Asymmetric information -- Asymmetric information and unemployment -- More on asymmetric information -- Signalling product quality -- Warranties as a signalling device -- Advertising as a signalling device -- Religious ritual as a signalling device -- Decision making in groups Where we've come from … -- … and where to go from here -- About the Authors -- Index A highly accessible, illustrated introduction to Game Theory, a concept that helps us understand everything from our social lives to global politics. Pastine, Tuvana Humberstone, Tom https://cds.cern.ch/auth.py?r=EBLIB_P_4793258 ebook ebook EBL201704 Mathematical Physics and Mathematics SzGeCERN BOOK n 201715 201704 21 PUBLIC BOOK DELETED 2258762 SzGeCERN 20210422083705.0 9783319517940 print version 9783319517957 electronic version electronic version DOI 10.1007/978-3-319-51795-7 e-proceedings oai:cds.cern.ch:2258762 cerncds:CONF eng QA315-316 QA402.3 QA402.5-QA402.6 515.64 23 20151109 1st International Symposium on Energy System Optimization Heidelberg, Germany 9 - 10 Nov 2015 2015 heidelberg20151109 1 DE ISESO 2015 20151110 Cham Springer 2017 ebook Trends in mathematics 2297-0215 1. A Customized Evolutionary Algorithm for the Optimization of Residential Energy Resources -- 2. Comparison of control strategies for electric vehicles on a low voltage level electrical distribution grid -- 3. Optimal Storage Operation with Model Predictive Control in the German Transmission Grid -- 4. Security-Constrained Optimization Framework for Large-Scale Power Systems Including Post-Contingency Remedial Actions and Inter-Temporal Constraints -- 5. Dynamic Decision Making in Energy Systems with Storage and Renewable Energy Sources -- 6. Dispatch of flexibility options, grid infrastructure and integration of renewable energies within a decentralized electricity system -- 7. An Optimal Investment Model for Battery Energy Storage Systems in Isolated Microgrids -- 8. A dynamic programming approach to multi-period planning of isolated microgrids -- 9. Curtailing renewable feed-in peaks and its impact on power grid extensions in Germany for the year 2030 -- 10. Simulation of distribution grid expansion costs and the impact of load shifting -- 11. Structure Analysis of the German Transmission Network using the Open Source Model SciGRID -- 12. Modeling of the transmission grid using geo allocation and generalized processes -- 13. Regionalizing Input Data for Generation and Transmission Expansion Planning Models -- 14. Convexity/nonconvexity certificates for power flow analysis -- 15. A Convex Model for the Optimization of Distribution Systems with Distributed Generation.-. The papers presented in this volume address diverse challenges in energy systems, ranging from operational to investment planning problems, from market economics to technical and environmental considerations, from distribution grids to transmission grids and from theoretical considerations to data provision concerns and applied case studies. The International Symposium on Energy System Optimization (ISESO) was held on November 9th and 10th 2015 at the Heidelberg Institute for Theoretical Studies (HITS) and was organized by HITS, Heidelberg University and Karlsruhe Institute of Technology. Mathematics and statistics SPR201704 SzGeCERN Mathematical Physics and Mathematics SPR Operations research SPR Management science SPR Operations Research, Management Science CONFERENCE PROCEEDINGS Bertsch, Valentin ed. Fichtner, Wolf ed. Heuveline, Vincent ed. Leibfried, Thomas ed. Advances in energy system optimization ISESO 2015 Acronym SPR n 201714 201704 42 PUBLIC https://catalogue.library.cern/legacy/2258762 PROCEEDINGS MIGRATED 2258758 SzGeCERN 20210422083708.0 9783319468181 print version 9783319468198 electronic version electronic version DOI 10.1007/978-3-319-46819-8 e-proceedings oai:cds.cern.ch:2258758 cerncds:CONF eng QE33.2.S82 553 23 10th International Geostatistics Congress Valencia, Spain 5 - 9 Sep 2016 2016 valencia20160905 ES 10 20160909 20160905 Cham Springer 2017 ebook Quantitative geology and geostatistics 0924-1973 19 Part I. Special session in honor of Professor Danie Krige -- Professor Danie Krige’s first memorial lecture: A summary of the basic tenets of evaluating the mineral resource assets of mining companies, as observed in Professor Danie Krige’s pioneering work over half a century (Winfred Assibey-Bonsu) -- Using classical Geostatistics to quantify the spatiotemporal dynamics of a neurodegenerative disease from brain MRI (Robert Marschallinger) -- Part II. Theory -- Can Measurement Errors be characterized from Duplicates? (Chantal de Fouquet) -- Modeling Asymmetrical facies successions using Pluri-Gaussian Simulations (Thomas Le Blévec) -- Considerations for the use of sequential sampling techniques (Jaap Leguijt) -- A truly multivariate Normal Score Transform based on Lagrangian Flow (Ute Mueller) -- Functional Decomposition Kriging for Embedding Stochastic Anisotropy Simulations (J. A. Vargas-Guzmán) -- Part III. Mining Engineering -- Using samples of unequal length to estimate grades in a mineral deposit (Marcel Antonio Arcari Bassani) -- New Approach to Recoverable Resource Modelling: The Multivariate Case at Olympic Dam (Mario Rossi) -- Comparison of two grade multivariate simulation approaches on an iron oxide copper gold deposit (Antonio Cortes) -- Complexities in the geostatistics estimation of minerals deposits Besshi type on the nor-west of Pinar del Río, Cuba (José Quintín Cuador-Gil) -- Definition of Operational Mining Unit (OMU) Size (Cassio Diedrich) -- Optimizing Infill Drilling Decisions using Multi-armed Bandits: Application in a Long-term, Multi-element Stockpile (Rein Dirkx) -- A new high-order statistical simulation that is non-stationary and transformation invariant (Amir Abbas Haji Abolhassani) -- Fixing Panel Artifacts in LIK Block Models (William Hardtke) -- Implications of algorithm and parameter choice: Impacts of geological uncertainty simulation methods on project decision making (Arja Jewbali) -- Approaching simultaneous local and global accuracy (Danile Jasper Kentwell) -- Geostatistics for Variable Geometry Veins (Alfredo Marín Suárez) -- Drilling Grid Analysis for Defining Open Pit and Underground Mineral Resources Catego-rization Using Brazilian Sulphide Deposit (Cu-Au) Production Data (Roberto Menin) -- A High-Order, Data-Driven Framework for Joint Simulation of Categorical Variables (Ilnur Minniakhmetov) -- Conditional Bias in Kriging - Let's Keep It (Marek Nowak) -- Operational SMU definition at a Brazilian copper operation (Roberto Menin) -- From the spatial sampling of a deposit to mineral resources classification (Jacques Rivoirard) -- Resource Model Dilution and Ore Loss: A Change of Support Approach (Oscar Rondon) -- Diamond Drill Holes and Blast Holes, a Formal Study (Serge Antoine Séguret) -- Building of a tonnage-surface function of metal grades and geological dilution: application to the massive and stockwork Zambujal ore deposit, Neves-Corvo mine (José António Almeida) -- Application of direct sequential simulation and co-simulation for evaluation of resources and uncertainty of the Ncondezi coal deposit in Mozambique (Sara Matias Ferreira Sokhin) -- Castelo de Sonhos: Geostatistical quantification of the potential size of a Paleoproterozoic conglomerate-hosted gold deposit (R. Mohan Srivastava) -- A hybrid model for joint simulation of high-dimensional continuous and categorical variables (Hassan Talebi) -- Performance Analysis of Continuous Resource Model Updating in Lignite Production (Cansin Yüksel) -- Part IV. Petroleum Engineering -- Geostatistics on unstructured grids, theoretical background and applications (Biver Pierre) -- Using Spatial Constraints in Clustering for Electrofacies Calculation (Jean-Marc Chautru) -- Pore network modeling from multi-scale imaging using Multiple Point Statistics (Tatiana Chugunova) -- Bernstein copula-based spatial stochastic simulation of petrophysical properties using seismic attributes as secondary variable (Martín A. Díaz-Viera) -- Robust MPS-based modeling via Spectral Analysis (Morteza Elahi Naraghi) -- Efficient Uncertainty Quantification and History Matching of Large-Scale Fields through Model Reduction (Jianlin Fu) -- Revealing multiple geological scenarios through unsupervised clustering of posterior realizations from reflection seismic inversion (Mats Lundh Gulbrandsen) -- Object modelling in a time of modern well data configurations (Ragnar Hauge) -- Machine learning methods for sweet spot detection: a case study (Vera Louise Hauge) -- Theoretical generalization of Markov chain random field in reservoir lithofacies stochastic simulation (Xiang Huang) -- Deepwater Reservoir Connectivity Reproduction from MPS and Process-mimicking Geostatistical Methods (Michael J. Pyrcz) -- Modeling of depositional environments - Shoreline trajectory - The link between Sequence Stratigraphy and Truncated Gaussian Fields (Lars Edward Rygg Kjellesvik) -- Facies inversion with Plurigaussian lithotype rules (Lewis Li) -- Combined use of object-based models, multipoint statistics and direct sequential simulation for generation of the morphology, porosity and permeability of turbidite channel systems (Inês Alexandra Costa Marques) -- How to model interactions between reservoir properties for complex data structures (Håvard Goodwin Olsen) -- Geostatistical Methods for Unconventional Reservoir Uncertainty Assessments (Michael J. Pyrcz) -- Productivity prediction using Alternating Conditional Expectations (Emmanuel T. Schnetzler) -- The adaptive plurigaussian simulation model (APS) versus the truncated plurigaussian simulation model (TPS) used in the presence of hard data (Bogdan Sebacher) -- A MPS Algorithm based on Pattern Scale-down Cluster (Yu Siyu) -- Integrating new data in reservoir forecasting without building new models (Sebastien Strebelle) -- Statistical scale-up of dispersive transport in heterogeneous reservoir (Vikrant Vishal) -- The comparative analysis of geostatistical methods on the square with a large number of wells (Evgeniy Kovalevskiy) -- Part V. Hydro(geo)logy -- Building piezometric maps: contribution of geostatistical tools (Bernard Bourgine) -- A gradient-based blocking Markov chain Monte Carlo method for stochastic inverse modeling (Jianlin Fu) -- Geoestatistical modeling and simulation scenarios as optimizing tools for curtain grouting design and construction at a dam foundation (Vasco Gavinhos) -- Inverse modeling aided by the Classification and Regression Tree (CART) algorithm (Julio César Gutiérrez-Esparza) -- Numerical Simulation of Solute Transport in Groundwater Flow System using Random Walk Method (Nilkanth H. Kulkarni) -- A Comparison of EnKF and EnPAT Inverse Methods: Non-Gaussianity (Liangping Li) -- Stochastic Inverse Modeling of Interbed Parameters and Transmissivity Using Land Subsidence and Drawdown Data via EnKF (Liangping Li) -- Influence of Heterogeneity on Heat Transport Simulations in Shallow Geothermal Systems (Javier Rodrigo-Ilarri) -- Part VI. Environmental Engineering and Sciences -- Building a geological reference platform using sequence stratigraphy combined with geostatistical tools (Bernard Bourgine) -- Constrained spatial clustering of climate variables for geostatistical reconstruction of optimal time series and spatial fields (Peter Dowd) -- Constraining geostatistical simulations of delta hydrofacies by using machine correlation (Peter Dowd) -- Assessing the performance of the gsimcli homogenisation method with precipitation monthly data from the COST-HOME benchmark (Sara Ribeiro) -- Ecological Risk Evaluation of Heavy Metal Pollution in Soil in YangGu (Yingjun Sun) -- Comparison of trend detection approaches in time series and their application to identify temperature changes in the Valencia region (Eastern Spain) (Peter Dowd) -- Part VII. Big Data -- Urban Dynamics Estimation using Mobile Phone logs and Locally Varying Anisotropy (Oscar F. Peredo). This book contains selected contributions presented at the 10th International Geostatistics Congress held in Valencia from 5 to 9 September, 2016. This is a quadrennial congress that serves as the meeting point for any engineer, professional, practitioner or scientist working in geostatistics. The book contains carefully reviewed papers on geostatistical theory and applications in fields such as mining engineering, petroleum engineering, environmental science, hydrology, ecology, and other fields. Mathematics and statistics SPR201704 SzGeCERN Mathematical Physics and Mathematics SPR Geology SPR Quantitative Geology SPR Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences PROCEEDINGS CONFERENCE Gómez-Hernández, J ed. Rodrigo-Ilarri, Javier ed. Rodrigo-Clavero, María ed. Cassiraga, Eduardo ed. Vargas-Guzmán, José ed. SPR n 201714 201704 42 PUBLIC https://catalogue.library.cern/legacy/2258758 PROCEEDINGS MIGRATED 2258746 SzGeCERN 20210421211651.0 9783319524122 print version 9783319524139 electronic version electronic version DOI 10.1007/978-3-319-52413-9 ebook oai:cds.cern.ch:2258746 cerncds:BOOK eng QB1-991 520 23 Chen, James L Astronomy for older eyes a guide for aging backyard astronomers Cham Springer 2017 ebook The Patrick Moore practical astronomy series 1431-9756 Preface -- Chapter 1: Amateur Astronomy and its Aging Practitioners -- Chapter 2: Why Astronomy? -- Chapter 3: Keeping Healthy, Active and Backyard Astronomy -- Chapter 4: Older Eyes, Cataracts, Lasik and Laser Eye Surgery -- Chapter 5: Telescope Equipment and Growing Older -- Chapter 6: Astronomy Clubs, Public Outreach, Star Parties and Staying Social in Later Years -- Chapter 7: Physical and Environmental Challenges of Astronomy in Later Years -- Chapter 8: Traveling -- Chapter 9: Common Sense, Light Pollution and Astronomy -- Chapter 10: Wheelchair Astronomy -- Chapter 11: The After Life of Telescope Equipment and Astronomy Books -- Chapter 12: Final Thoughts -- Appendix 1: Telescope Basics -- Appendix 2: Color Filters Use -- Appendix 3: Common Telescope Formulas -- Appendix 4: Astronomical League Observing Programs -- Appendix 5: North America Star Parties -- Appendix 6: Messier Catalog -- Appendix 7: Selected Non-Messier Catalog NGC Objects -- Appendix 8: The Caldwell Catalog -- Appendix 9: The Herschel 400 -- Biographies -- Bibliography -- Glossary -- Index. . This book is for the aging amateur astronomy population, including newcomers to astronomy in their retirement and hobbyists who loved peering through a telescope as a child. Whether a novice or an experienced observer, the practice of astronomy differs over the years. This guide will extend the enjoyment of astronomy well into the Golden Years by addressing topics such as eye and overall health issues, recommendations on telescope equipment, and astronomy-related social activities especially suited for seniors. Many Baby-Boomers reaching retirement age are seeking new activities, and amateur astronomy is a perfect fit as a leisure time activity. Established backyard astronomers who began their love of astronomy in their youth , meanwhile, may face many physical and mental challenges in continuing their lifelong hobby as they age beyond their 55th birthdays. That perfect telescope purchased when they were thirty years old now suddenly at sixty years old feels like an immovable object in the living room. The 20/20 eyesight has given way to reading glasses or bifocals. Treasured eyepieces feel all wrong. Growing old is a natural process of life, but astronomy is timeless. With a little knowledge and some lifestyle adjustments, older astronomers can still enjoy backyard observing well into their seventies, eighties and even into their nineties. Physics and astronomy SPR201704 SzGeCERN Astrophysics and Astronomy BOOK SPR n 201714 201704 21 PUBLIC https://catalogue.library.cern/legacy/2258746 BOOK MIGRATED 2258695 SzGeCERN 20210421211702.0 9781461461845 print version 9781461461852 electronic version electronic version DOI 10.1007/978-1-4614-6185-2 ebook oai:cds.cern.ch:2258695 cerncds:BOOK eng QB600-701 523.4 23 Young, Anthony The Apollo lunar samples collection analysis and results New York Springer 2017 ebook SpringerBriefs in space development 2191-8171 Preface -- Chapter 1 Lunar Probes Pave the Way -- Chapter 2 Planning the Apollo Missions Sample Collection and Processing -- Chapter 3 Astronaut Geologic and Sample Collection Training for Missions -- Chapter 4 Apollo Lunar Landing Missions 11, 12, and 14 -- Chapter 5 Apollo Lunar Landing Missions 15, 16, and 17 -- Chapter 6 Preliminary Sample Findings from the Apollo Missions and Post-Apollo Findings -- End Note -- Appendix: The Top Ten Scientific Discoveries Made During the Apollo Exploration -- Missions to the Moon -- Glossary -- Index. . This book focuses on the specific mission planning for lunar sample collection, the equipment used, and the analysis and findings concerning the samples at the Lunar Receiving Laboratory in Texas. Anthony Young documents the collection of Apollo samples for the first time for readers of all backgrounds, and includes interviews with many of those involved in planning and analyzing the samples. NASA contracted with the U.S. Geologic Survey to perform classroom and field training of the Apollo astronauts. NASA’s Geology Group within the Manned Spacecraft Center in Houston, Texas, helped to establish the goals of sample collection, as well as the design of sample collection tools, bags, and storage containers. In this book, detailed descriptions are given on the design of the lunar sampling tools, the Modular Experiment Transporter used on Apollo 14, and the specific areas of the Lunar Rover vehicle used for the Apollo 15, 16, and 17 missions, which carried the sampling tools, bags, and other related equipment used in sample collection. The Lunar Receiving Laboratory, which was designed and built at the Manned Spacecraft Center in Texas for analysis and storage of the lunar samples returned from the Apollo lunar landing missions is also described in detail. There are also descriptions of astronaut mission training for sample collecting, with the focus on the specific portions of the mission EVAs devoted to this activity. Physics and astronomy SPR201704 SzGeCERN Astrophysics and Astronomy SPR Earth sciences SPR Planetology SPR Geophysics SPR Astronomy SPR Earth Sciences SPR Popular Science in Astronomy SPR Geophysics and Environmental Physics BOOK SPR n 201714 201704 21 PUBLIC https://catalogue.library.cern/legacy/2258695 BOOK MIGRATED 2258691 SzGeCERN 20210422083712.0 9789811035265 print version 9789811035272 electronic version electronic version DOI 10.1007/978-981-10-3527-2 e-proceedings oai:cds.cern.ch:2258691 cerncds:CONF eng TL1-483 629.2 23 Collective 2016 SAE-China Congress Shanghai, China 26 - 28 Oct 2016 2016 shanghai20161026 CN 20161028 20161026 Singapore Springer 2017 ebook Lecture notes in electrical engineering 1876-1100 418 Fatigue Durability Analysis of a Frame Based on Multi Body Dynamics -- Test Study on Characteristics of Multi-Hole Injector for Gasoline Direct Injection Engine -- Direct Injection Start-stop Piston Final Stop Position Modelling and Analysis -- Optimization and Simulation of SUV Sunroof Buffeting Noise -- A Study of Three-Way Catalyst Deterioration Monitoring. This proceedings volume gathers outstanding papers submitted to the 2016 SAE-China Congress, the majority of which are from China, the biggest car maker as well as most dynamic car market in the world. The book includes insights into the current challenges that the whole industry is currently facing, and it offers possible solutions to problems such as emission controls, environmental pollution, the energy shortage, traffic congestion and sustainable development. It also presents the latest technical achievements in the automotive industry. Many of the approaches it presents can help technicians to solve the practical problems that most affect their daily work. Engineering SPR201704 SzGeCERN Engineering SPR Electrical Engineering CONFERENCE PROCEEDINGS SPR n 201714 201704 42 PUBLIC https://catalogue.library.cern/legacy/2258691 PROCEEDINGS MIGRATED 2258678 SzGeCERN 20210422083722.0 9783319472522 print version 9783319472539 electronic version electronic version DOI 10.1007/978-3-319-47253-9 e-proceedings oai:cds.cern.ch:2258678 cerncds:CONF eng Q342 006.3 23 Social Simulation Conference 2015 Groningen, The Netherlands 14 - 18 Sep 2015 2015 groningen20150914 NL 20150918 20150914 Advances in social simulation 2015 Cham Springer 2017 ebook Advances in intelligent systems and computing 2194-5357 528 From Field Data to Attitude Formation -- A Simple-to-use BDI architecture for Agent-based Modeling and Simulation -- Food Incident Interactive Training Tool: a serious game for food incident management -- A Cybernetic Model of Macroeconomic Disequilibrium -- How Should Agent-Based Modelling Engage With Historical Processes? -- Evolutionary Cooperation in a Multi-Agent Society -- Design of an empirical agent-based model to explore rural household food security within a developing country context -- Comparing Income Replacement Rate by Prefecture in Japanese Pension System -- Hybrid simulation approach for technological innovation policy making in developing countries -- Modelling Contextual Decision Making in Dilemma Games -- Preliminary results from an agent-based model of the daily commute in Aberdeen and Aberdeenshire, UK -- Agent-Based Modelling of Military Communications on the Roman Frontier -- The Leviathan model without gossips and vanity: the richness of influence based on perceived hierarchy -- A calibration to properly design a model integrating residential mobility and migration in a rural area -- Modeling Contagion of Behavior in Friendship Networks as Coordination Games -- A Model of Social and Economic Capital in Social Networks -- The Impact of Macro-Scale Determinants on Individual Residential Mobility Behaviour -- Modelling the energy transition: Application of Agent Based Modelling to Integrated Assessment Modelling -- A spatially explicit agent-based model of the diffusion of green electricity: Model setup and retrodictive validation -- A Network Analytic Approach to Investigating a Land-Use Change Agent-Based Model -- Network Influence Effects in Agent-Based Modelling of Civil Violence -- Modeling the evolution of ideological landscapes through opinion dynamics -- Changing Habits using Contextualized Decision Making -- SocialSIM – Real-life social simulation as a field for students´ research projects -- Simulating Thomas Kuhn‘s Scientific Revolutions: The Example of the Paradigm Change from System Dynamics to Agent Based Modelling -- Using ABM to clarify and refine social practice theory -- Transition to Low-carbon Economy:Simulating Nonlinearities in the Electricity Market, Navarre Region-Spain -- Statistical Verification of the Multiagent Model of Volatility Clustering on Financial Markets -- Social Amplification of Risk Framework: An Agent-Based Approach -- How precise are the specifications of a psychological theory? Comparing implementations of Lindenberg and Steg’s Goal-Framing Theory of everyday pro-environmental behaviour -- Lessons learned replicating the analysis of outputs from a social simulation of biodiversity incentivisation -- The Pursuit of Happiness: A Model of Group Formation -- Understanding and Predicting Compliance with Safety Regulations at an Airline Ground Service Organization -- Opinions on Contested Infrastructures over Time: A Longitudinal, Empirically-Based Simulation -- Road repair sequencing for disaster victim evacuation -- Using empirical data for designing, calibrating and validating simulation models -- A methodology for simulating synthetic populations for the analysis of socio-technical infrastructures -- Modelling the Individual Process of Career Choice -- Modelling the role of social media at street protests -- AgentBase: Agent Based Modelling in the Browser. This book highlights recent developments in the field, presented at the Social Simulation 2015 conference in Groningen, The Netherlands. It covers advances both in applications and methods of social simulation. Societal issues addressed range across complexities in economic systems, opinion dynamics and civil violence, changing mobility patterns, different land-use, transition in the energy system, food production and consumption, ecosystem management and historical processes. Methodological developments cover how to use empirical data in validating models in general, formalization of behavioral theory in agent behavior, construction of artificial populations for experimentation, replication of models, and agent-based models that can be run in a web browser. Social simulation is a rapidly evolving field. Social scientists are increasingly interested in social simulation as a tool to tackle the complex non-linear dynamics of society. Furthermore, the software and hardware tools available for social simulation are becoming more and more powerful. This book is an important source for readers interested in the newest developments in the ways in which the simulation of social interaction contributes to our understanding and managing of complex social phenomena. Engineering SPR201704 SzGeCERN Engineering SPR Operations research SPR Decision making SPR Computer simulation SPR Computational intelligence SPR Social sciences SPR Computational Intelligence SPR Methodology of the Social Sciences SPR Operation ResearchDecision Theory SPR Simulation and Modeling PROCEEDINGS CONFERENCE Jager, Wander ed. Verbrugge, Rineke ed. Flache, Andreas ed. Roo, Gert ed. Hoogduin, Lex ed. Hemelrijk, Charlotte ed. SPR n 201714 201704 42 PUBLIC https://catalogue.library.cern/legacy/2258678 PROCEEDINGS MIGRATED 2258677 SzGeCERN 20210422083723.0 9783319518589 print version 9783319518596 electronic version electronic version DOI 10.1007/978-3-319-51859-6 e-proceedings oai:cds.cern.ch:2258677 cerncds:CONF eng T55.4-60.8 670 23 20150701 19th International Congress on Project Management and Engineering Granada, Spain Jul 2015 2015 granada20150700 19 ES 20150731 Cham Springer 2017 ebook Lecture notes in management and industrial engineering 2198-0772 Part I: Project Management -- Chapter 1. Comprehensive Reorganization of Project Management: A Case Study -- Part II: Civil Engineering, Urbanism and Urban Planning. Building and Architecture -- Chapter 2. The Dilemma of Innovation in the Construction Company: A Decade of Lessons Learned -- Part III: Product and Process Engineering and Industrial Design -- Chapter 3. Study on the Influence of Fresh White Cheese Packaging Design Variables on Users’ Perception -- Chapter 4. Study, Design, Development and Construction of a Linear Tribometer for Testing Human Skin -- Chapter 5. 3D Myocardial Modelling by Computational Geometry Techniques. Analysing Performance -- Part IV: Environmental Engineering and Natural Resource Management -- Chapter 6. Study of the Energy Recovery of the Reject Materials from Municipal Solid Waste Treatment Plants in Spain -- Chapter 7. Review of Options for Solving Problems of Frazil Ice in Industrial Water Intakes -- Chapter 8. Environmental Behaviour of an Element of the Construction Sector -- Chapter 9. Identification and Measurement of Complementarity Variables in Strategic Projects of Water Irrigation from the Sustainability Practices. Case: Republic of Ecuador -- Part V: Energy Efficiency and Renewable Energies -- Chapter 10. Aging Model for Re-used Electric Vehicle Batteries in Second Life Stationary Applications -- Chapter 11.Assessing the Energy Saving Potential for Building Stock and Choice of Rehabilitation Strategy by a Multicriteria System -- Chapter 12. Adapting Buildings to the Current CTE-DB-HE: A Single-family Housing Development in Logroño (La Rioja) -- Chapter 13. Geographic Information System for Optimization and Integration of Photovoltaic Solar Energy in Agricultural Areas with Energy Deficiency and Water Scarcity -- Part VI: Rural Development and Development Co-Operation Projects -- Chapter 14. Guadua angustifolia as a Structural Material for Greenhouse Design -- Part VII: IT and Communications. Software Engineering -- Chapter 15. Evaluation of the State of Cutting Tools According to Its Texture Using LOSIB and LBP Variants -- Part VIII: Safety, Labour Risks and Ergonomics -- Chapter 16.SAFEBUS: A New Active Safety System for Pedestrian Detection in Public Passenger Buses -- Part IX: Training in Project Engineering -- Chapter 17. Implementation of BIM in the subject Technical Industrial Projects – Degree in Industrial Technologies Engineering - University of Valladolid -- Chapter 18. Technological Immersion in Industrial Engineering for a Project Management Course to Develop Dual Use Technology -- Chapter 19. Quantitative and Qualitative Analysis of Project-based Learning to Acquire Competencies in Project Management. . This book gathers the best papers presented at the 19th International Congress on Project Management and Engineering, which was held in Granada, Spain in July 2015. It covers a range of project management and engineering contexts, including: civil engineering and urban planning, product and process engineering, environmental engineering, energy efficiency and renewable energies, rural development, information and communication technologies, safety, labour risks and ergonomics, and training in project engineering. Project management and engineering is taking on increasing importance as projects continue to grow in size, more stakeholders become involved, and environmental, organisational and technological issues become more complex. As such, this book offers a valuable resource for all professionals seeking the latest material on the changing face of project management. Engineering SPR201704 SzGeCERN Engineering SPR Project management SPR Industrial organization SPR Project Management SPR Industrial Organization PROCEEDINGS CONFERENCE Muñoz, José ed. Blanco, José ed. Capuz-Rizo, Salvador ed. Project management and engineering research : AEIPRO 2016 SPR n 201714 201704 42 PUBLIC https://catalogue.library.cern/legacy/2258677 PROCEEDINGS MIGRATED 2258658 SzGeCERN 20210421211704.0 9783319522005 print version 9783319522012 electronic version electronic version DOI 10.1007/978-3-319-52201-2 ebook oai:cds.cern.ch:2258658 cerncds:BOOK eng TA170-171 TD195.B58 660.6 23 628 23 Women in sustainable agriculture and food biotechnology key advances and perspectives on emerging topics Cham Springer 2017 ebook Women in engineering and science 2509-6427 Pioneering Women in Sustainable Agriculture and Food Biotechnology -- Agrobacterium and Plant Biotechnology -- From Maize Transposons to the GMO Wars -- Agriculture in the Modern age Biopesticides and Plant Biotechnology -- The Story Behind the Approval of the First Bt Maize Product -- Trails and Trials in Biotechnology Policy -- Enabling Educators -- Africa’s Fight for Freedom to Innovate and the Early Signs of Embracing Biotechnology Especially Genetically Modified (GM) Foods -- Sustainable Agriculture and Biotechnology. This volume describes the contributions made by women scientists to the field of agricultural biotechnology, the most quickly adopted agricultural practice ever adopted. It features the perspectives of women educators, researchers and key stakeholders towards the development, implementation and acceptance of this modern technology. It describes the multiplying contemporary challenges in the field, how women are overcoming technological barriers, and their thoughts on what the future may hold. As sustainable agricultural practices increasingly represent a key option in the drive towards building a greener global community, the scientific, technological and implementation issues covered in this book are vital information for anyone working in environmental engineering. Provides a broad analysis of the science of agriculture, focusing on the contributions of women to the field, from basic research to applied technology Offers insights into hot topics in the field across the life cycle, from genetic engineering to optimization methodologies to safety evaluations and market acceptance Describes the complex global nature of modern agriculture and food production. Engineering SPR201704 SzGeCERN Engineering SPR Environment SPR Food SPR Agriculture SPR Plant breeding SPR Sociology SPR Sex (Psychology) SPR Gender expression SPR Gender identity SPR Plant BreedingBiotechnology SPR Food Science SPR Gender Studies BOOK Privalle, Laura ed. SPR n 201714 201704 21 PUBLIC https://catalogue.library.cern/legacy/2258658 BOOK MIGRATED 2258648 SzGeCERN 20210421211706.0 9783319533261 print version 9783319533278 electronic version electronic version DOI 10.1007/978-3-319-53327-8 ebook oai:cds.cern.ch:2258648 cerncds:BOOK eng TJ210.2-211.495 T59.5 629.892 23 Smart electromechanical systems the central nervous system Cham Springer 2017 ebook Studies in systems, decision and control 2198-4182 95 Challenges Related To Development Of Central Nervous System Of A Robot On The Bases Of SEMS Modules -- Unified Logical Analysis in Robots’ CNS Based on N-tuple Algebra -- SEMS-Based Control in Locally Organized Hierarchical Structures of Robots Collectives -- Logical-Mathematical Model Of Decision Making In Central Nervous System SEMS -- Behavioral Decisions Of A Robot Based On Solving Of Systems Of Logical Equations -- Hierarchical Data Fusion Architecture for Unmanned Vehicles -- Automatic 3D Human Body Modelling -- Optoelectronic autocollimating video sensor for a mobile robot -- Method of constructing a system of optical sensors for mutual orientation of industrial robots for monitoring of the technosphere objects -- Adaptive Capture -- Controlled Ciliated Propulsion -- Flagella Propeller -- Linearized Model Of The Adaptive Platform With Parallel Structure -- Multiagent Approach To Control A Multisection Trunk-Type Manipulator -- Self-Learning Neural Network Control System For Physical Model With One Degree Of Freedom Of System OF Active Vibration Isolation And Pointing Of Payload Spacecraft -- Synthesis Of Control Of Hinged Bodies Relative Motion Ensuring Move Of Orientable Body To Necessary Absolute Position -- Automatic Control System Of Adaptive Capture -- Computer Simulation Of Automatic Control System Ciliated Propulsion -- Methodical Features of Acquisition of Independent Dynamic Equation of Relative Movement of One-degree of Freedom Manipulator on Movable Foundation as Control Object. This book describes approaches to solving the problems of developing the central nervous system of robots (CNSR) based on smart electromechanical systems (SEMS) modules, principles of construction of the various modules of the central nervous system and variants of mathematical software CNSR in control systems for intelligent robots. It presents the latest advances in theory and practice at the Russian Academy of Sciences. Developers of intelligent robots to solve modern problems in robotics are increasingly addressing the use of the bionic approach to create robots that mimic the complexity and adaptability of biological systems. These have smart electromechanical system (SEMS), which are used in various cyber-physical systems (CPhS), and allow the functions of calculation, control, communications, information storage, monitoring, measurement and control of parameters and environmental parameters to be integrated. The behavior of such systems is based on the information received from the central nervous system of the robot (CNSR) on the state of the environment and system state. Recent advances in computer science, measuring and computing techniques have stimulated the practical realization of the CNSR, providing a fundamentally new approach to the methods and algorithms of formation of appropriate robot behavior. Intelligent robots with CNSR occupy a special place among the highly efficient robotic systems with parallel structures and play an important role in modern automated industries, and this timely book is a valuable resource for specialists in the field of robotics and control, as well as for students majoring in “Robots”, “System analysis and management”, and “Automation and control”. Engineering SPR201704 SzGeCERN Engineering SPR Mechatronics BOOK Gorodetskiy, Andrey ed. Kurbanov, Vugar ed. SPR n 201714 201704 21 PUBLIC https://catalogue.library.cern/legacy/2258648 BOOK MIGRATED 2258642 SzGeCERN 20210421211708.0 9783319506869 print version 9783319506883 electronic version electronic version DOI 10.1007/978-3-319-50688-3 ebook oai:cds.cern.ch:2258642 cerncds:BOOK eng T174.7 620.5 23 Modeling, methodologies and tools for molecular and nano-scale communications modeling, methodologies and tools Cham Springer 2017 ebook Modeling and optimization in science and technologies 2196-7326 9 Part I Fundamentals Of Molecular Communication -- Part II Molecular Communication in Biology -- Part III Electromagnetic–based Nano-scale Communication -- Part IV Nanomaterial and Nanostructure -- Part V Medical Applications of Nanoscale Communication. (Preliminary) The book presents the state of art in the emerging field of molecular and nanoscale communication. It gives special attention to fundamental models, and advanced methodologies and tools used in the field. It covers a wide range of applications, e.g. nanomedicine, nanorobot communication, bioremediation and environmental managements. It addresses advanced graduate students, academics and professionals working at the forefront in their fields and at the interfaces between different areas of research, such as engineering, computer science, biology and nanotechnology. Engineering SPR201704 SzGeCERN Engineering SPR Nanotechnology SPR Nanotechnology and Microengineering SPR Biomedical EngineeringBiotechnology BOOK Suzuki, Junichi ed. Nakano, Tadashi ed. Moore, Michael ed. SPR n 201714 201704 21 PUBLIC https://catalogue.library.cern/legacy/2258642 BOOK MIGRATED 2258620 SzGeCERN 20210421211722.0 9783319548487 print version 9783319548494 electronic version electronic version DOI 10.1007/978-3-319-54849-4 ebook oai:cds.cern.ch:2258620 cerncds:BOOK eng R856-857 610.28 23 Ostasevicius, Vytautas Biomechanical microsystems design, processing and applications Cham Springer 2017 ebook Lecture notes in computational vision and biomechanics 2212-9391 24 Introduction -- Development of Microsystems Multi Physics Investigation Methods -- MEMS applications for obesity prevention -- MOEMS-assisted radial pulse measurement system development -- Microsystems for the Effective Technological Processes. This book presents the most important aspects of analysis of dynamical processes taking place on the human body surface. It provides an overview of the major devices that act as a prevention measure to boost a person‘s motivation for physical activity. A short overview of the most popular MEMS sensors for biomedical applications is given. The development and validation of a multi-level computational model that combines mathematical models of an accelerometer and reduced human body surface tissue is presented. Subsequently, results of finite element analysis are used together with experimental data to evaluate rheological properties of not only human skin but skeletal joints as well. Methodology of development of MOEMS displacement-pressure sensor and adaptation for real-time biological information monitoring, namely “ex vivo” and “in vitro” blood pulse type analysis, is described. Fundamental and conciliatory investigations, achieved knowledge and scientific experience about biologically adaptive multifunctional nanocomposite materials, their properties and synthesis compatibility, periodical microstructures, which may be used in various optical components for modern, productive sensors‘ formation technologies and their application in medicine, pharmacy industries and environmental monitoring, are presented and analyzed. This book also is aimed at research and development of vibrational energy harvester, which would convert ambient kinetic energy into electrical energy by means of the impact-type piezoelectric transducer. The book proposes possible prototypes of devices for non-invasive real-time artery pulse measurements and micro energy harvesting. Engineering SPR201704 SzGeCERN Engineering SPR Energy harvesting SPR Energy Harvesting BOOK Janusas, Giedrius Palevicius, Arvydas Gaidys, Rimvydas Jurenas, Vytautas SPR n 201714 201704 21 PUBLIC https://catalogue.library.cern/legacy/2258620 BOOK MIGRATED 2258606 SzGeCERN 20210421211725.0 9783319528892 print version 9783319528908 electronic version electronic version DOI 10.1007/978-3-319-52890-8 ebook oai:cds.cern.ch:2258606 cerncds:BOOK eng T14.7-T33 600.09 23 Karagözoğlu, Bahattin Science and technology from global and historical perspectives Cham Springer 2017 ebook Definitions and terminologies -- Foundation of science -- Way of inquiring scientific knowledge -- Project planning: an essential procedure needed for a successful project work -- Technology -- Contribution of muslim scientist to technology -- Brief history of western modernization -- technology and its aftermath. This book provides science and technology ethos to a literate person. It starts with a rather detailed treatment of basic concepts in human values, educational status and domains of education, development of science and technology and their contributions to the welfare of society. It describes ways and means of scientific progresses and technological advancements with their historical perspectives including scientific viewpoints of contributing scientists and technologists. The technical, social, and cultural dimensions are surveyed in relation to acquisition and application of science, and advantages and hindrances of technological developments. Science and Technology is currently taught as a college course in many universities with the intention to introduce topics from a global historical perspective so that the reader shall stretch his/her vision by mapping the past to the future. The book can also serve as a primary reference for such courses. Engineering SPR201704 SzGeCERN Engineering SPR History SPR Engineering ethics SPR Environmental sciences SPR Technology SPR History of Technology SPR Science and Technology Studies SPR Engineering Ethics SPR Environmental Science and Engineering SPR History of Science BOOK SPR n 201714 201704 21 PUBLIC https://catalogue.library.cern/legacy/2258606 BOOK MIGRATED 2258602 SzGeCERN 20210421211726.0 9783319519593 print version 9783319519616 electronic version electronic version DOI 10.1007/978-3-319-51961-6 ebook oai:cds.cern.ch:2258602 cerncds:BOOK eng TJ241 670 23 Sustainable machining Cham Springer 2017 ebook Materials forming, machining and tribology 2195-0911 Ceramic cutting tools -- Chip recycling -- Cryogenic cooling -- Cutting energy -- Cutting fluids -- Cutting forces -- Environmentally friendly machining -- Minimal quantity of lubrication (MQL) -- Nanofluids -- Near dry machining -- Self-lubricating tools -- Tool life and wear. This book provides an overview on current sustainable machining. Its chapters cover the concept in economic, social and environmental dimensions. It provides the reader with proper ways to handle several pollutants produced during the machining process. The book is useful on both undergraduate and postgraduate levels and it is of interest to all those working with manufacturing and machining technology. Engineering SPR201704 SzGeCERN Engineering SPR Tribology SPR Corrosion and anti-corrosives SPR Coatings SPR Tribology, Corrosion and Coatings BOOK Davim, J ed. SPR n 201714 201704 21 PUBLIC https://catalogue.library.cern/legacy/2258602 BOOK MIGRATED 2258597 SzGeCERN 20210421211727.0 9783319504261 print version 9783319504278 electronic version electronic version DOI 10.1007/978-3-319-50427-8 ebook oai:cds.cern.ch:2258597 cerncds:BOOK eng TK7888.4 621.3815 23 Multi-technology positioning Cham Springer 2017 ebook Introduction and book structure -- MULTI-POS - multi-technology positioning professionals training network -- Understanding the Global Navigation Satellite System (GNSS) Signal Model -- GNSS Vulnerabilities -- GNSS Quality of Service in urban environment -- Multi-GNSS: facts and issues -- Towards Seamless Navigation -- Mapping the radio world to find us -- Survey on 5G Positioning -- Formation Control of Multi-agent Systems with Location Uncertainty -- Positioning Technology Applications Related to Environmental Issues -- Context awareness for semantic mobile computing -- The Impact of Galileo Open Service on Location Based Services Markets -- Location Based Services analysis through Analytical Hierarchical Processes - an e-health-based case study -- DroneAlert: Autonomous Drones For Emergency Response -- MULTI-POS - Lessons learnt from fellows and supervisors -- Conclusions -- About the editors. This book provides an overview of positioning technologies, applications and services in a format accessible to a wide variety of readers. Readers who have always wanted to understand how satellite-based positioning, wireless network positioning, inertial navigation, and their combinations work will find great value in this book. Readers will also learn about the advantages and disadvantages of different positioning methods, their limitations and challenges. Cognitive positioning, adding the brain to determine which technologies to use at device runtime, is introduced as well. Coverage also includes the use of position information for Location Based Services (LBS), as well as context-aware positioning services, designed for better user experience. • Brings understanding of positioning technology to readers from a variety of disciplines • Reviews multiple techniques, providing insight on the pros, cons and challenges related to each • Designed to be a tutorial on basic principles, avoiding unnecessary detail • Offers lessons learned from a cross-sector international network, from both academic and industrial perspective and from a multi-cultural view. Engineering SPR201704 SzGeCERN Engineering SPR Remote sensing SPR Remote SensingPhotogrammetry BOOK Nurmi, Jari ed. Lohan, Elena-Simona ed. Wymeersch, Henk ed. Seco-Granados, Gonzalo ed. Nykänen, Ossi ed. SPR n 201714 201704 21 PUBLIC https://catalogue.library.cern/legacy/2258597 BOOK MIGRATED 2258591 SzGeCERN 20210421211729.0 9783319479965 print version 9783319479972 electronic version electronic version DOI 10.1007/978-3-319-47997-2 ebook oai:cds.cern.ch:2258591 cerncds:BOOK eng TK5102.9 TA1637-1638 TK7882.S65 621.382 23 Ifukube, Tohru Sound-based assistive technology support to hearing, speaking and seeing Cham Springer 2017 ebook Basis for Sound-Based Assistive Technology -- Sound Signal Processing for Auditory Aids -- Functional Electrical Stimulation to Auditory Nerves -- Tactile Stimulation Methods for the Deaf and/or Blind -- Speech Recognition Systems for the Hearing Impaired and the Elderly -- Assistive Tool Design for Speech Production Disorders -- Sound Information Aiding for the Visually Impaired. This book "Sound-based Assistive Technology" explains a technology to help speech-, hearing- and sight-impaired people. They might benefit in some way from an enhancement in their ability to recognize and produce speech or to detect sounds in their surroundings. Additionally, it is considered how sound-based assistive technology might be applied to the areas of speech recognition, speech synthesis, environmental recognition, virtual reality and robots. It is the primary focus of this book to provide an understanding of both the methodology and basic concepts of assistive technology rather than listing the variety of assistive devices developed in Japan or other countries. Although this book presents a number of different topics, they are sufficiently independent from one another that the reader may begin at any chapter without experiencing confusion. It should be acknowledged that much of the research quoted in this book was conducted in the author's laboratories both at Hokkaido University and the University of Tokyo. This book offers the reader a better understanding of the number of unsolved problems that still persist in the field of sound-based assistive technology. Engineering SPR201704 SzGeCERN Engineering SPR Ophthalmology BOOK SPR n 201714 201704 21 PUBLIC https://catalogue.library.cern/legacy/2258591 BOOK MIGRATED 2258588 SzGeCERN 20210421211729.0 9783319442327 print version 9783319442341 electronic version electronic version DOI 10.1007/978-3-319-44234-1 ebook oai:cds.cern.ch:2258588 cerncds:BOOK eng TA1-2040 624 23 Loucks, Daniel P Water resource systems planning and management an introduction to methods, models, and applications Cham Springer 2017 ebook Water Resources Planning and Management: An Overview -- Water Resource Systems Modeling: Its Role in Planning and Management -- Models for Identifying and Evaluating Alternatives -- An Introduction to Optimization Models and Methods -- Data-Fitting, Evolutionary and Qualitative Modeling -- An Introduction to Probability, Statistics and Uncertainty -- Modeling Uncertainty -- System Sensitivity and Uncertainty Analysis -- Performance Criteria -- Water Quality Modeling and Prediction -- River Basin Modeling -- Urban Water Systems -- Planning and Analysis Projects: Putting it All Together. This book is open access under a CC BY-NC 4.0 license. This revised, updated textbook presents a systems approach to the planning, management, and operation of water resources infrastructure in the environment. Previously published in 2005 by UNESCO and Deltares (Delft Hydraulics at the time), this new edition, written again with contributions from Jery R. Stedinger, Jozef P. M. Dijkman, and Monique T. Villars, is aimed equally at students and professionals. It introduces readers to the concept of viewing issues involving water resources as a system of multiple interacting components and scales. It offers guidelines for initiating and carrying out water resource system planning and management projects. It introduces alternative optimization, simulation, and statistical methods useful for project identification, design, siting, operation and evaluation and for studying post-planning issues. The authors cover both basin-wide and urban water issues and present ways of identifying and evaluating alternatives for addressing multiple-purpose and multi-objective water quantity and quality management challenges. Reinforced with cases studies, exercises, and media supplements throughout, the text is ideal for upper-level undergraduate and graduate courses in water resource planning and management as well as for practicing planners and engineers in the field. Engineering SPR201704 SzGeCERN Engineering SPR Hydrology SPR Water-supply SPR Civil engineering SPR Climate change SPR Environmental engineering SPR Biotechnology SPR Water pollution SPR Civil Engineering SPR Water IndustryWater Technologies SPR HydrologyWater Resources SPR Waste Water Technology Water Pollution Control Water Management Aquatic Pollution SPR Environmental EngineeringBiotechnology SPR Climate Change BOOK van Beek, Eelco SPR n 201714 201704 21 PUBLIC https://catalogue.library.cern/legacy/2258588 BOOK MIGRATED 2258587 SzGeCERN 20210421211730.0 9783319001753 print version 9783319001760 electronic version electronic version DOI 10.1007/978-3-319-00176-0 ebook oai:cds.cern.ch:2258587 cerncds:BOOK eng TK7876-7876.42 621.3 23 Handbook of advanced lighting technology Cham Springer 2017 ebook Introduction -- Conventional Light Sources -- Light Emitting Diodes (LEDs) -- OLEDS/PLEDS -- LED Driver Technology -- Conventional Sensor Systems -- Advanced Sensor Systems -- Sensor Integration and Control Methods -- Advanced Lighting Control Technology -- Communications -- Applications/Case Studies -- Human Factors -- Circadian Topics -- Lighting and Education -- Lighting and the Workplace -- Energy Efficiency -- Environmental Considerations -- Governmental and Social Impacts -- Economics of smart lighting -- Driving Adoption. The Handbook of Advanced Lighting Technology is a major reference work on the subject of light source science and technology, with particular focus on solid-state light sources – LEDs and OLEDs – and the development of 'smart' or 'intelligent' lighting systems; and the integration of advanced light sources, sensors, and adaptive control architectures to provide tailored illumination which is 'fit to purpose.' The concept of smart lighting goes hand-in-hand with the development of solid-state light sources, which offer levels of control not previously available with conventional lighting systems. This has impact not only at the scale of the individual user, but also at an environmental and wider economic level. These advances have enabled and motivated significant research activity on the human factors of lighting, particularly related to the impact of lighting on healthcare and education, and the Handbook provides detailed reviews of work in these areas. The potential applications for smart lighting span the entire spectrum of technology, from domestic and commercial lighting, to breakthroughs in biotechnology, transportation, and light-based wireless communication. Whilst most current research globally is in the field of solid-state lighting, there is renewed interest in the development of conventional and non-conventional light sources for specific applications. This Handbook comprehensively reviews the basic physical principles and device technologies behind all light source types and includes discussion of the state-of-the-art. The book essentially breaks down into five major sections: Section 1: The physics, materials, and device technology of established, conventional, and emerging light sources, Section 2: The science and technology of solid-state (LED and OLED) light sources, Section 3: Driving, sensing and control, and the integration of these different technologies under the concept of smart lighting, Section 4: Human factors and applications, Section 5: Environmental and economic factors and implications. Engineering SPR201704 SzGeCERN Engineering SPR Engineering SPR Microwaves SPR Optical engineering SPR Electrical engineering SPR Optical materials SPR Electronic materials SPR Microwaves, RF and Optical Engineering SPR Optics, Lasers, Photonics, Optical Devices SPR Optical and Electronic Materials SPR Energy Efficiency SPR Communications Engineering, Networks SPR Signal, Image and Speech Processing BOOK Karlicek, Robert ed. Sun, Ching-Cherng ed. Zissis, Georges ed. Ma, Ruiqing ed. SPR n 201714 201704 21 PUBLIC https://catalogue.library.cern/legacy/2258587 BOOK MIGRATED 2265814 SzGeCERN 20250515231522.0 oai:cds.cern.ch:2265814 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN CERN-THESIS-2015-401 eng Chiuchiolo, Antonella Sannio U. Vol. 39 - Cryogenic Fiber Optic Sensors for Superconducting Magnets and Power Transmission Lines in High Energy Physics Applications Warsaw, Poland Warsaw University of Technology Publishing House 2015 mult. p Presented 15 Dec 2015 PhD Sannio U. 2015 In the framework of the Luminosity upgrade of the Large Hadron Collider (HL - LHC), a remarkable R&D effort is now ongoing at the European Organization for Nuclear Research (CERN) in order to develop a new generation of accelerator magnets and superconducting power transmission lines. The magnet technology will be based on Nb$_{3}$Sn enabling to operate in the 11 - 13 T range. In parallel, in order to preserve the power converters from the increasing radiation level, high power transmission lines are foreseen to feed the magnets from free - radiation zones. These will be based on high temperature superconductors cooled down with helium gas in the range 5 - 30 K. The new technologies will require advanced design and fabrication approaches as well as adapted instrumentation for monitoring both the R&D phase and operation. Resistive sensors have been used so far for voltage, temperature and strain monitoring but their integration still suffers from the number of electrical wires and the complex compensation of magnetic and thermal effects. These issues might be overcome by developing a new technology based on fiber optic sensors for their well-known advantages like the small size, the intrinsic electrical insulation, immunity to electromagnetic interferences and multiplexing capability although the environmental complexity makes the technology not well assessed yet in the field of superconductivity. This thesis presents the progress done in the material selection and temperature characterization (in the range 300 - 4.2 K) of coated FBG sensors. Results of their implementation in the 20-m-long power transmission line for the helium gas temperature monitoring are also reported. FBG sensors in bonded and embedded configuration have been also integrated in sub-scale Nb$_{3}$Sn dipole magnets for monitoring the main stages of the magnet service life. Experimental results are presented during magnet assembly and thermal cycle down to 1.9 K, when applied compressive forces reach up to 200 MPa, during energization up to 20 kA and quench monitoring under high magnetic fields (up to 13 T). FP7 312453 EuCARD2 openAccess CERN Invenio WebSubmit GENEU 0.1 UNCL SzGeCERN Accelerators and Storage Rings EuCARD2 1: Management and Communication (MANCOM) WP EuCARD2 1.3: Scientific publications and monographs Task author LHC author Fiber Bragg Grating author sensors author superconductivity author cryogenic author temperature EuCARD2 EuCARD2MON EuCARD2THESIS CERN Cusano, Andrea dir. Sannio U. Bajko, Marta dir. CERN 1315714 4520912 http://cds.cern.ch/record/2265814/files/CERN-THESIS-2015-401.pdf 1315714 18887273 http://cds.cern.ch/record/2265814/files/CERN-THESIS-2015-401.pdf?subformat=pdfa pdfa 1315714 2860 http://cds.cern.ch/record/2265814/files/CERN-THESIS-2015-401.gif?subformat=icon icon 1315714 3840 http://cds.cern.ch/record/2265814/files/CERN-THESIS-2015-401.jpg?subformat=icon- icon- jennifer.toes@cern.ch n 201551 Y 14 PUBLIC https://repository.cern/legacy/record/2265814 THESIS EuCARD2 MIGRATED 2265688 SzGeCERN 20210422083645.0 9789402410709 print version 9789402410716 electronic version electronic version DOI 10.1007/978-94-024-1071-6 e-proceedings oai:cds.cern.ch:2265688 cerncds:CONF eng TA169.7 T55-55.3 23 621.389 20160605 NATO advanced research workshop on implications of climate change and disasters on military activities: building resiliency and mitigating vulnerability in the Balkan Region Sofia, Bulgaria 05 - 07 Jul 2016 2016 sofia20160605 BG 20160607 Dordrecht Springer 2017 ebook NATO science for peace and security series. C, environmental security 1874-6519 Chapter 1: Crisis and Disaster Management Terminology -- Chapter 2: Towards a Balkan’s Data for Disaster Management Collaborative? -- Chapter 3: Modern Global Problems Related to Climate Changes and their Impact on South Caucasus and Georgia -- Chapter 4: Disasters and Security: Key Concepts -- Chapter 5: Disaster Risk Management: Planning for Multiple Stressors and Risks Using Whole of Government Approaches -- Chapter 6: On the Necessity of Improving the Research Infrastructure in the Western Black Sea for the Purposes of Flood Risk Management -- Chapter 7: Floods in the Republic of Serbia (2014) – Response and Lessons Learned -- Chapter 8: Military Medical Detachment for Emergency Response – Chapter 9: Tool for Disaster Medical Education and Interaction -- Chapter 10: CIMIC in Medical Disaster Relief Operations -- Chapter 11: Condition and Impacts of Climate Change -- Chapter 12: Disaster Risk Management: Planning for Multiple Stressors and Risks Using Whole of Government Approaches -- Chapter 13: Disaster Risk Management: Assessing and Leveraging Existing Capacities -- Chapter 14: Geoinformatics for Disaster Risk Assessment, Monitoring, and Management -- Chapter 15: How are Climate Change and Human Security Interrelated? -- Chapter 16: Climate Change Implications on Military Activities; Operation Damayan -- Chapter 17: Approaches on Building of Resiliency, Mitigation Vulnerability by Radioactive Sources and Management of Radiological Situation in Albania -- Chapter 18: Tuning Military Concepts, Doctrine and Force Design to Mitigate Human Security Challenges arising from Global Environmental Change -- Chapter 19: Environmental Security and Climate Change – a ‘Security Assessment of the Balkan Region’ -- Chapter 20: Climate Change – Fundamentals, Agroclimate Conditions in Bulgaria and Resilience Agriculture through Adaptation -- Chapter 21: Climate Change and Water as a Resource will cause Serious Security Implications around the Globe. This volume provides preliminary recommendations on ways to educate and develop experience-based expertise among disaster response, security and other professionals from diverse backgrounds, whose current and future interests relate to crisis management. The book takes a multidisciplinary approach to improving regional security cooperation and to addressing the complex issues of climate change and disasters on military activities. The main aims of this proceedings volume are: -to provide an Education and Individual Training Activity Common Core Curriculum, whose main purpose is to support increased awareness of the implications of Climate Change; -to identify broad issues on climate change and disasters, particularly those with the highest importance and relevance to regional security. The Crisis Management and Disaster Response Centre of Excellence (CMDR COE) conducted an Advanced Research Workshop “Climate Change Implications on Military Activities in the Balkans Region” between 05-07 July, 2016. The event was supported by the NATO Science for Peace (SPS) Program and gathered distinguished experts from various international organizations and civil-military agencies. Physics and astronomy SPR201705 SzGeCERN Astrophysics and Astronomy SPR Natural disasters SPR System safety SPR Security Science and Technology SPR Natural Hazards CONFERENCE PROCEEDINGS Nikolov, Orlin ed. Veeravalli, Swathi ed. 201705 SPR n 201719 42 PUBLIC https://catalogue.library.cern/legacy/2265688 PROCEEDINGS MIGRATED 2265314 SzGeCERN 20250515231522.0 oai:inspirehep.net:1600309 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d 2017-05-20T04:00:07Z marcxml oai:inspirehep.net:1600309 2017-05-19T18:50:02Z Inspire 1600309 eng submitter Acta Universitatis Lappeenrantaensis 365 CERN-THESIS-2009-285 Polese, Giovanni Lappeenranta U. Tech. submitter The Detector Control Systems for the CMS Resistive Plate Chamber at LHC 2009 2009-12 96 p PhD Lappeenranta U. Tech. 2009 submitter The RPC Detector Control System (RCS) is the main subject of this PhD work. The project, involving the Lappeenranta University of Technology, the Warsaw University and INFN of Naples, is aimed to integrate the different subsystems for the RPC detector and its trigger chain in order to develop a common framework to control and monitoring the different parts. In this project, I have been strongly involved during the last three years on the hardware and software development, construction and commissioning as main responsible and coordinator. The CMS Resistive Plate Chambers (RPC) system consists of 912 double-gap chambers at its start-up in middle of 2008. A continuous control and monitoring of the detector, the trigger and all the ancillary sub-systems (high voltages, low voltages, environmental, gas, and cooling), is required to achieve the operational stability and reliability of a so large and complex detector and trigger system. Role of the RPC Detector Control System is to monitor the detector conditions and performance, control and monitor all subsystems related to RPC and their electronics and store all the information in a dedicated database, called Condition DB. Therefore the RPC DCS system has to assure the safe and correct operation of the sub-detectors during all CMS life time (more than 10 year), detect abnormal and harmful situations and take protective and automatic actions to minimize consequential damages. The analysis of the requirements and project challenges, the architecture design and its development as well as the calibration and commissioning phases represent the main tasks of the work developed for this PhD thesis. Different technologies, middleware and solutions has been studied and adopted in the design and development of the different components and a big challenging consisted in the integration of these different parts each other and in the general CMS control system and data acquisition framework. Therefore, the RCS installation and commissioning phase as well as its performance and the first results, obtained during the last three years CMS cosmic runs, will be described in this thesis. SzGeCERN Detectors and Experimental Techniques CERN THESIS CERN LHC CMS Tuuva, Tuure dir. https://www.doria.fi/handle/10024/50486 1313866 3694450 http://cds.cern.ch/record/2265314/files/fulltext.pdf 1314603 3736580 http://cds.cern.ch/record/2265314/files/fulltext_2.pdf 14 https://repository.cern/legacy/record/2265314 THESIS MIGRATED 0-1-0-1-0-0-1 2017-05-19 14:54:39 Invenio/1.1.2.1260-aa76f refextract/1.5.44 content.pdf;1 2264343 SzGeCERN 20171214170526.0 9783319535364 139 (NL),139 (1U) electronic version EBL 4845282 eng QC71.82-73.8 621.042 Yang, Zhaoqing Marine renewable energy resource characterization and physical effects Cham Springer International Publishing 2017 396 p Preface -- Facing the Challenges of Resource Characterization and Physical System Effects of Marine Renewable Energy Development -- Contents -- About the Editors -- 1 Wave Energy Assessments: Quantifying the Resource and Understanding the Uncertainty -- Introduction -- Wave Data Sources -- Wave Measurements -- Numerical Wave Models -- WAM -- WWIII -- SWAN -- TOMAWAC -- MIKE-21 SW -- Analyzing and Quantifying the Resource -- Wave Spectra and Characteristic Parameterizations -- Baseline Resource Assessment -- Higher Fidelity Resource Assessments -- Extreme Wave Analysis Quantifying Environmental Factors -- Impact of Resource Assessment Methodology on WEC Power Production Estimates -- Site Identification for WEC Deployments -- Conclusions -- References -- 2 Wave Energy Resources Along the European Atlantic Coast -- Introduction -- Spectral Wave Modelling -- Overview of Models -- WAM -- WaveWatch III -- SWAN -- Model Set-up and ValidationModel Set-up and Validation -- Scotland -- Ireland -- France -- Galicia -- Portugal -- Wave Resource Assessment -- Spatial Distribution -- Seasonal and Interannual Variability -- Summary and Discussion -- Acknowledgements References -- 3 Analyses of Wave Scattering and Absorption Produced by WEC Arrays: Physical/Numerical Experiments and Model Assessment -- Introduction -- WEC Array Laboratory Experiments -- Incident Wave Conditions -- Model WECs and WEC Arrays -- Wave Instrumentation -- Determination of the Relative Capture Width -- Numerical Modeling -- Phase-Resolved Linear Wave Theory-WAMIT -- Phase-Averaged Linear Wave Theory-SWAN -- Results -- WAMIT-Data Comparisons -- SWAN Data Comparisons -- Discussion -- Conclusions -- Acknowledgements -- References 4 Hydrokinetic Tidal Energy Resource Assessments Using Numerical Models -- Introduction -- Individual Turbine Assessments -- Regional Feasibility Assessments -- Project Assessments -- Case Study -- Summary -- References -- 5 Tidal Energy Resource Measurements -- Introduction -- The Tidal Energy Resource -- Measurements of Deterministic Tidal Resource Characteristics -- Measurements of Stochastic Tidal Resource Characteristics -- Annual Energy Production -- Large-Scale Resource Assessment and the Merging of Measurements with Models -- Using Measurements to Validate Model-Based Resource Assessments Conclusions -- References -- Wave-Tide Interactions in Ocean Renewable Energy -- Introduction -- Introduction to Wave-Tide Interaction -- Wave Effects in Tidal Energy Projects -- Wave Climate Effects to Resource Assessment -- Wave Considerations in the Design of Tidal Turbines -- Simplified Methods -- Tidal Effects in Wave Energy Projects -- Wave Energy Assessment in the Presence of Tides -- Tidal Effects on Wave Energy Converters -- Dynamically Coupled Wave-Tide Modeling Systems -- Conclusions -- References 7 Use of Global Satellite Altimeter and Drifter Data for Ocean Current Resource Characterization Copping, Andrea 9783319535340 print version oai:cds.cern.ch:2264343 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4845282 ebook ebook EBL201705 Engineering SzGeCERN BOOK n 201719 201705 21 PUBLIC BOOK DELETED 2264334 SzGeCERN 20171013220702.0 9783319501970 179 (NL),179 (1U) electronic version EBL 4843818 eng QC71.82-73.8 621.042 Islam, FM Rabiul Smart energy grid design for island countries challenges and opportunities Cham Springer International Publishing 2017 468 p Green energy and technology Preface -- Contents -- Editorial Advisory Board -- Reviewers -- 1 Possibilities and Challenges of Implementing Renewable Energy in the Light of PESTLE & SWOT Analyses for Island Countries -- Abstract -- 1 Introduction -- 2 PESTLE and SWOT Analyses on Renewable Energy Resources -- 3 PESTLE Analysis -- 3.1 Political -- 3.2 Economical -- 3.3 Social -- 3.4 Technological -- 3.5 Legal -- 3.6 Environmental -- 4 SWOT Analysis -- 5 Summary -- 5.1 Climate -- 5.2 Financial -- 5.3 Fuel Shudders -- 5.4 Policy -- 5.5 Lack of Technical Expertise -- References 2 Utilization and Optimization of Diesel Generation for Maximum Renewable Energy Integration -- Abstract -- 1 Introduction -- 2 Historical Diesel Perspectives -- 3 Diesel Fuel -- 4 Emissions Compliance -- 5 Islanded Markets, Challenges and Opportunities -- 6 Hybrid Diesel Architectures -- 7 Advanced Diesel Technologies and Control -- 7.1 Low Load Diesel (LLD) -- 7.2 Load Variable Cooling -- 7.3 Multi-burst Common Rail Injection -- 7.4 Variable Injection Nozzle Geometry -- 7.5 Cylinder Switching/Deactivation -- 7.6 Turbocharging -- 7.7 Reverse Power Acceptance -- 7.8 Exhaust Gas Recovery (EGR) 7.9 Under Frequency Voltage Roll-Off (UFRO) -- 7.10 Variable Speed Diesel (VSD) -- 7.11 DC Diesel (DCD) Hybrids -- 7.12 Biodiesel Blending -- 8 Operational Theory -- 9 Diesel Modelling Simulation (Conventional/D-UPS and LLD) -- 10 Economics of Diesel Generation -- 10.1 Viti Levu Island, Fiji, Pacific -- 10.2 Cabo Verde, Atlantic Ocean -- 11 100% Renewable Energy System Design -- 12 Conclusion -- Acknowledgements -- References -- 3 Optimal Control System of Under Frequency Load Shedding in Microgrid System with Renewable Energy Resources -- Abstract -- 1 Introduction 2 General Configuration of the MG System -- 2.1 MG System General Model -- 2.1.1 Micro-Hydropower System -- 2.1.2 Photovoltaic System -- 2.1.3 Biomass System -- 2.1.4 Battery Bank System Characteristics -- 2.1.5 Wind Turbine Generator Characteristics -- 2.1.6 Fuel Cell -- 2.1.7 Gas-Fired Power Stations -- 2.1.8 Diesel Generators -- 2.2 Comparison of Production Energies Options -- 3 Contribution of Renewable and Nonrenewable Resources into the Microgrid System -- 3.1 Microgrid System Configuration -- 3.2 Problem Formulation -- 3.2.1 System Description -- 3.2.2 Objective Function 3.2.3 Constraints -- 3.3 Simulation Results -- 3.3.1 Optimization Algorithm -- 3.3.2 Typical Application -- 3.4 Results and Discussions -- 4 Conclusion and Technical Challenges -- References -- 4 Power Quality Impacts and Mitigation Measures for High Penetrations of Photovoltaics in Distribution Networks -- Abstract -- 1 Introduction -- 1.1 Generation Ramp Rate Impacts -- 1.2 Voltage Impacts -- 2 The Growth of PV Installations -- 2.1 The Global Scenario -- 2.2 PV Applications in Island States -- 3 Impacts of High Levels of PV Penetration in LV Distribution Networks -- 3.1 Voltage Regulation 3.2 Voltage Unbalance Mamun, Kabir Al Amanullah, Maung Than Oo 9783319501963 print version oai:cds.cern.ch:2264334 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4843818 ebook ebook EBL201705 Engineering SzGeCERN BOOK n 201719 201705 21 PUBLIC BOOK DELETED 2264302 SzGeCERN 20170615235957.0 9783319506548 229 (NL),229 (1U) electronic version EBL 4837021 eng QC71.82-73.8 621.042 Singh, Ritu Green technologies and environmental sustainability Cham Springer International Publishing 2017 494 p Dedication -- Preface -- Contents -- About the Authors -- Chapter 1: A Review and Perspective of Constructed Wetlands as a Green Technology in Decentralization Practices -- 1 Introduction -- 2 Ecology in CWs -- 2.1 Marshy Vegetation -- 2.2 Microorganisms/Biofilms -- 2.3 Media -- 2.4 Oxygen Transfer/Diffusion -- 3 Traditional Wetland Systems -- 3.1 SF CWs -- 3.2 SSF CWs -- 4 Process Modification -- 4.1 Single Wetland Systems -- 4.1.1 Shallow Pond Water Hyacinth System (SPWHS) -- 4.1.2 Baffled CWs -- 4.1.3 Step-Feeding CWs -- 4.1.4 Artificial Aeration CWs 4.1.5 Multilevel (Two-Layer) Drop Aeration CWs -- 4.1.6 Tidal Flow (TF) CWs -- 4.1.7 Biofilm Attachment Surface (BAS) CWs -- 4.2 CWs Combined with Other Technologies -- 4.3 Hybrid Systems -- 5 Process Performance -- 5.1 Organics and Suspended Solids Removal -- 5.2 Nitrogen Removal -- 5.3 Phosphorous Removal -- 6 Environmental Stress Condition -- 6.1 High TDS Concentration and Desalination -- 6.2 Cold Climate Operation -- 7 Future Sustainability of Constructed Wetlands -- References Chapter 2: Laccases: A Blue Enzyme for Greener Alternative Technologies in the Detection and Treatment of Emerging Pollutants -- 1 Introduction -- 2 Laccase -- 2.1 Laccase Source -- 2.2 Biocatalytic Mechanism and Applications -- 2.3 Laccase Production in Agro-Industrial Residues -- 3 Laccase-Based Biosensor for Detection of Emerging Pollutants -- 3.1 Emerging Pollutants in Water Reservoirs -- 3.2 Immobilization Methods -- 3.3 Transduction Principles -- 3.3.1 Electrochemical Transducers in Environmental Applications -- 3.3.2 Optical Transducers in Environmental Applications 4 Laccase as Biocatalyst for Removal of Emerging Pollutants -- 5 Future Perspectives and Conclusions -- References -- Chapter 3: Biofuels for Sustainable Development: A Global Perspective -- 1 Introduction -- 2 Historical Perspective of Biofuels -- 3 Generations of Biofuels -- 3.1 First-Generation Biofuels -- 3.2 Second-Generation Biofuels -- 3.3 Third-Generation Biofuels -- 3.4 Advanced Biofuels -- 4 Types of Biofuels -- 4.1 Solid Biofuels -- 4.2 Liquid Fuels -- 4.2.1 Bioethanol -- 4.2.2 Biodiesel -- 4.2.3 Bioethers -- 4.3 Gaseous Fuels -- 4.3.1 Biogas -- 4.3.2 Syngas 5 Advantages and Disadvantages of Biofuels -- 5.1 Advantages -- 5.2 Disadvantages -- 6 Compatibility of Biofuels with Existing Infrastructure -- 7 Performance and Emission Characterization of Biofuels -- 8 Impact of Biofuels: Environmental Benefits -- 9 Global Perspective -- 10 Biofuels Towards Sustainable Development -- 11 Conclusion -- References -- Chapter 4: Greening the Indian Transport Sector: Role of Biodiesel -- 1 Introduction -- 2 Drivers of Green Transport System -- 3 Role of Biodiesel -- 4 Policy Framework -- References Chapter 5: Microalgae Biofuels: A Green Renewable Resource to Fuel the Future Kumar, Sanjeev 9783319506531 print version oai:cds.cern.ch:2264302 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4837021 ebook ebook EBL201705 Engineering SzGeCERN BOOK n 201719 201705 21 PUBLIC BOOK DELETED 2264301 SzGeCERN 20210421211311.0 9780784414583 print version 9780784480236 electronic version 180 (UA),150 (3U),120 (1U) electronic version oai:cds.cern.ch:2264301 cerncds:BOOK EBL 4836938 eng TA660.P55M53 2016 621.8/672 Horizontal auger boring projects 2nd ed. Reston, VA American Society of Civil Engineers 2017 177 p ebook Manuals and reports on engineering practice 106 Contents -- Preface -- Acknowledgments -- Abbreviations, Acronyms, and Initialisms -- Chapter 1: GENERAL -- 1.1 Scope of This MOP -- 1.2 Why Trenchless Technology? -- 1.3 Horizontal Auger Boring -- 1.3.1 Auger Boring Process -- 1.3.2 HAB History -- 1.3.3 Applications and Limitations of HAB -- 1.4 Overview of Alternative Trenchless Technologies -- 1.4.1 Microtunneling -- 1.4.2 Pipe Jacking -- 1.4.3 Horizontal Directional Drilling -- 1.4.4 Pipe Ramming -- 1.4.5 Utility Tunneling -- 1.4.6 Pilot Tube Method -- References -- Chapter 2: HORIZONTAL AUGER BORING SYSTEM -- 2.1 System Components 2.1.1 HAB Machine -- 2.1.2 Steering Kit and Grade Indicator -- 2.1.3 Cutterheads -- 2.1.4 Adapter Kit -- 2.1.5 Different Sizes of Augers -- 2.2 Recent Innovations in HAB -- 2.2.1 On-Target Steering System -- 2.2.2 Boring Machine Tunnel Attachment -- 2.2.3 Safety Features -- 2.3 Variations of HAB -- 2.3.1 Small Boring Units -- 2.3.2 SBU-Auger -- 2.3.3 Motorized SBU -- 2.3.4 Suitability of the System for Various Ground Conditions -- 2.3.5 Pilot Tube Method -- 2.4 Considerations and Limitations of HAB -- References -- Chapter 3: PLANNING PHASE -- 3.1 Feasibility Study -- 3.2 Predesign Survey 3.2.1 General Survey of Site Surface Conditions -- 3.2.2 Alignment Considerations -- 3.2.3 Traffic Information -- 3.2.4 Preliminary Geotechnical Investigation -- 3.3 Cost Considerations -- 3.4 Environmental Considerations and Social Benefits -- 3.4.1 Environmental Benefits -- 3.4.2 Social Benefits -- 3.5 Regulatory Requirements -- 3.6 Show Stoppers and Premium Cost Conditions -- 3.6.1 Potential Show Stoppers -- 3.6.2 Premium Cost Conditions -- References -- Chapter 4: GEOTECHNICAL INVESTIGATIONS -- 4.1 Importance of Geotechnical Investigation -- 4.2 Risk Management and Geotechnical Investigation 4.3 Geotechnical Investigation Program -- 4.3.1 Phases of Geotechnical Investigations -- 4.3.2 Subsurface Geotechnical Explorations -- 4.3.3 Exploratory Borings -- 4.3.4 Test Pits/Trenches and Surface Mapping -- 4.3.5 Geophysical Investigation -- 4.4 Geotechnical Properties -- 4.4.1 Soil Characteristics -- 4.4.2 Rock Conditions -- 4.4.3 Mixed-Face Conditions -- 4.4.4 Natural Obstructions: Gravels, Cobbles, and Boulders -- 4.4.5 Potential Obstructions -- 4.4.6 Groundwater Conditions -- 4.4.7 Contaminated Ground or Groundwater -- 4.4.8 Artificial and Environmentally Sensitive Features 4.4.9 Laboratory Testing -- 4.5 Geotechnical Reporting Requirements -- References -- Chapter 5: DESIGN AND PRECONSTRUCTION PHASE -- 5.1 Feasibility and Risk Assessment -- 5.2 Auger Boring Design -- 5.2.1 Casing Pipe Design -- 5.2.2 Carrier Pipe Design -- 5.2.3 Structural Design of Jacking/Carrier Pipe -- 5.2.4 Soil Dead Load/Overburden Pressure -- 5.2.5 Soil Live Load -- 5.3 Pit or Shaft Considerations -- 5.4 Groundwater Considerations -- 5.5 Site-Specific Design for Risk Management -- 5.5.1 Subsurface Utility Engineering -- 5.5.2 Geotechnical Investigation 5.5.3 Traffic Flow and Pedestrian Access MOP 106, Second Edition, presents current practices for the planning, design, and construction of pipelines using horizontal auger boring methods. EBL201705 Engineering SzGeCERN BOOK Atalah, Alan Onsarigo, Lameck https://cds.cern.ch/auth.py?r=EBLIB_P_4836938 ebook n 201719 201705 21 PUBLIC https://catalogue.library.cern/legacy/2264301 BOOK MIGRATED 2264294 SzGeCERN 20170615235957.0 9783319503462 129 (NL),129 (1U) electronic version EBL 4834784 eng QC71.82-73.8 621.042 Dastbaz, Mohammad Building information modelling, building performance, design and smart construction Cham Springer International Publishing 2017 338 p Preface -- Introduction -- Our Focus -- A Final Note -- Acknowledgements -- Contents -- About the Editors and Contributors -- Part I: Concepts in Sustainability -- Chapter 1: The Problem Is Also the Solution: The Sustainability Paradox -- References -- Chapter 2: Appreciating the Wicked Problem: A Systems Approach to Sustainable Cities -- 2.1 Introduction -- 2.2 Unlocking Socio-Technical Thinking: Research Study and Methodology -- 2.3 The Research Study Method -- 2.3.1 A Conceptual Framework for Analysis of Sustainable Cities -- 2.4 The Results 2.4.1 Systems Thinking Applied to Sustainable City Transformation -- 2.4.2 A "Sustainable City Lens": Implications for Transformation of the Sustainable City Debate, Policy, and Action -- 2.4.2.1 The Conceptual Dimension -- 2.4.2.2 Process Dimension -- 2.4.2.3 Practice Dimension -- 2.4.3 Emergent Outcomes Dimension -- 2.5 Conclusions -- References -- Chapter 3: A Theoretical Framework for Circular Economy Research in the Built Environment -- 3.1 Introduction -- 3.2 Building Research and Circular Economies -- 3.3 Research Dimensions of Circular Economies -- 3.4 The Proposed Framework 3.4.1 Governmental Dimension -- 3.4.2 Economic Dimension -- 3.4.3 Environmental Dimension -- 3.4.4 Behavioural Dimension -- 3.4.5 Societal Dimension -- 3.4.6 Technological Dimension -- 3.5 Conclusions -- References -- Part II: Building Information Modelling -- Chapter 4: Building Information Modelling (BIM) a Paradigm Shift in Construction -- 4.1 Introduction -- 4.2 Background -- 4.3 What is BIM? -- 4.4 Potential Benefits -- 4.5 During Concept & Design -- 4.6 During Procurement, Construction, & Commissioning -- 4.7 During Operations & FM -- 4.8 BIM and Sustainability -- 4.9 Information Manager 4.10 Construction Disciplines -- 4.11 Supply Chain -- 4.12 Building Down Barriers -- 4.13 Collaboration -- 4.14 File Formats -- 4.15 Standards -- 4.16 Electronic Trading -- 4.17 Standards -- References -- Chapter 5: Using Agile Project Management and BIM for Improved Building Performance -- 5.1 Introduction -- 5.2 Method -- 5.3 What Is an Agile Project Management? -- 5.3.1 Classic Project Management -- 5.3.2 Agile Project Management -- 5.3.3 Benefits of Agile Management -- 5.4 Application of Agile in the Construction Industry -- 5.4.1 Potential of Agile Management for the Construction Projects 5.5 An Agile Framework for Iterative Design -- 5.6 Discussion -- 5.7 Conclusion -- 5.7.1 Limitations and Future Work -- References -- Chapter 6: Use of Simulation Through BIM-Enabled Virtual Projects to Enhance Learning and Soft Employability Skills in Architectural Technology Education -- 6.1 Introduction -- 6.1.1 Project-Based Learning and the Use of Simulated Projects in Built Environment Education -- 6.1.2 Categorising and Defining Soft Employability Skills -- 6.1.3 Building Information Modelling in Higher Education -- 6.2 Research Method -- 6.2.1 Research Instrument 6.3 Results and Analysis Gorse, Chris Moncaster, Alice 9783319503455 print version oai:cds.cern.ch:2264294 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4834784 ebook ebook EBL201705 Engineering SzGeCERN BOOK n 201719 201705 21 PUBLIC BOOK DELETED 2264227 SzGeCERN 20170615235956.0 9789811033520 179 (NL),179 (1U) electronic version EBL 4832540 eng QC71.82-73.8 621.042 Goel, Malti Carbon utilization applications for the energy industry Singapore Springer 2017 303 p Green energy and technology Foreword -- Preface -- Scope -- Structure of the Book -- Acknowledgements -- Annexure -- Contents -- Editors and Contributors -- CO2 Emission, Sequestration and Utilization: A Policy Dilemma for Energy Security -- 1 CO2 Capture and Utilization for the Energy Industry: Outlook for Capability Development to Address Climate Change in India -- Abstract -- 1 Introduction -- 1.1 CO2 Emissions from Developmental Activity-Global and India -- 2 Part 1: Geo-engineering Approaches -- 2.1 Atmospheric Engineering -- 2.2 Ocean Engineering -- 2.3 Land Engineering -- 3 Carbon Dioxide Removal (CDR) Processes 3.1 Capturing CO2 -- 3.2 CO2 Underground Storage -- 4 Carbon Dioxide Utilization (CDU) Technologies -- 4.1 Definition and Motivation -- 4.2 CO2 Indirect Utilization -- 4.3 CO2 Direct Utilization -- 4.4 Current CO2 Applications for the Energy Industry -- 4.5 Thermodynamic Considerations of CCU and CCS -- 5 Part 2: Need for Capacity Development -- 5.1 International Initiatives -- 5.2 Indian Initiatives -- 5.3 ACBCCS 2015 and Contents of the Book -- 5.3.1 The Book on Carbon Utilization -- 5.3.2 New Research on Conversion of CO2 into Electricity -- 6 Conclusions -- Acknowledgements -- References 2 Adoption and Introduction of Supercritical Technology in the Power Sector and Consequential Effects in Operation, Efficiency and Carbon Dioxide Emission in the Present Context -- Abstract -- 1 Background -- 2 Efficiency Related Aspects -- 3 Load Dispatch Philosophies -- 4 Grid Connectivity and Other Related Issues -- 5 Conclusions -- Bibliography -- 3 Low Carbon Technologies (LCT) and Carbon Capture & Sequestration (CCS)-Key to Green Power Mission for Energy Security and Environmental Sustainability -- Abstract -- 1 Green Power Technologies-Clean Coal and Renewable Energy 1.1 Clean Coal Technologies -- 1.2 Renewable Energy Technologies -- 2 Carbon Capture & Sequestration-A Frontline Technique for Combating Climate Change -- 2.1 Climate Change and Energy Generation -- 2.2 Current Climate Change Policies in India and Targets -- 2.3 R&D Efforts in CCS at RGPV, Bhopal -- 2.4 New Dimensions-Use of Solar for Reducing Energy Penalty -- 3 Conclusions -- References -- Terrestrial Sequestration Options for CO2 -- 4 Soil as Source and Sink for Atmospheric CO2 -- Abstract -- 1 Introduction -- 2 Soil: Source and Sink of Carbon 3 Prioritizing Areas for Carbon Sequestration in Soils -- 4 Concluding Remarks -- References -- 5 Soil Carbon Stock and CO2 Flux in Different Ecosystems of North-East India -- Abstract -- 1 Introduction -- 2 Soil Organic Carbon Concentration (%) Under Different Land Use Change in North-East Region -- 3 Soil Organic Carbon Storage in Different Ecosystems of North-East Region -- 4 Soil CO2 Flux in Different Ecosystems of North-East India -- 5 Conclusions -- References -- 6 Baseline Data of Stored Carbon in Spinifex littoreus from Kadmath Island, Lakshadweep -- Abstract -- 1 Introduction 2 Materials and Methods Sudhakar, M 9789811033513 print version oai:cds.cern.ch:2264227 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4832540 ebook ebook EBL201705 Engineering SzGeCERN BOOK n 201719 201705 21 PUBLIC BOOK DELETED 2264008 SzGeCERN 20170811001657.0 9780444637031 396 (NL),396 (UA),330 (3U),264 (1U) electronic version EBL 4811243 eng TK2941.L433 2017 621.31242399999996 Garche, Jürgen Lead-acid batteries for future automobiles Saint Louis, MO Elsevier Science 2017 708 p Front Cover -- Lead - Acid Batteries for FutureAutomobiles -- Lead-Acid Batteries for Future Automobiles -- Copyright -- Contents -- List of Contributors -- About the Editors -- Preface -- Abbreviations -- 1 - Overview -- 1 - Development trends for future automobiles and their demand on the battery -- 1.1 Lead-acid batteries in automobiles: still good enough? -- 1.2 Requirements in the automotive industry -- 1.2.1 Requirements cascade and V-Model -- 1.2.2 Robustness and reliability -- 1.2.3 Materials, environmental, recycling -- 1.3 Vehicle level requirements 1.3.1 Power-supply system functions -- 1.3.2 Drivetrain electrification functions -- 1.4 Low-volt system topology options for advanced power supply and mild powertrain hybridization -- 1.4.1 12-V single voltage single battery -- 1.4.2 12-V dual (or multi) storage devices -- 1.4.3 12-V+48-V dual voltage, dual-storage devices -- 1.4.4 12-V+high voltage hybrid traction -- 1.5 Upcoming storage system requirements -- 1.5.1 Usable versus rated capacity -- 1.5.2 Discharge power performance -- 1.5.3 Shallow-cycle-life -- service life in partial state-of-charge operation -- 1.5.4 Dynamic charge-acceptance 1.5.5 Battery monitoring and management -- 1.5.6 Package and ambient conditions, weight -- 1.6 Discussion -- List of abbreviations -- References -- 2 - Overview of batteries for future automobiles -- 2.1 General requirements for batteries in electric vehicles -- 2.2 Energy storage in lead-acid batteries -- 2.3 Alkaline batteries -- 2.3.1 Nickel-cadmium batteries -- 2.3.1.1 Automotive applications -- 2.3.1.2 Cell chemistry -- Discharge processes -- Thermodynamic data -- 2.3.1.3 Nickel electrode -- 2.3.1.4 Cadmium electrode -- 2.3.1.5 Open nickel-cadmium cells 2.3.1.6 Gas-tight nickel-cadmium cell -- 2.3.1.7 Operating behaviour and heat management -- Charging methods -- 2.3.2 Nickel-metal-hydride batteries (NiMH) -- 2.3.2.1 Automotive applications -- 2.3.2.2 Cell chemistry -- Discharge processes -- 2.3.2.3 Negative metal-hydride electrode -- 2.3.2.4 Operating behaviour and heat management -- 2.3.2.5 Cell design -- 2.3.3 Nickel-zinc batteries -- 2.3.3.1 Automotive applications -- 2.3.3.2 Cell chemistry -- Discharge reaction -- Charge reaction -- 2.4 High-temperature sodium batteries -- 2.4.1 Automotive applications 2.4.2 Sodium-nickel chloride battery (ZEBRA) -- 2.4.2.1 Cell chemistry -- Discharge reactions -- 2.4.2.2 Operating behaviour -- 2.4.3 Sodium-sulfur battery -- 2.5 Lithium-ion batteries -- 2.5.1 Automotive applications -- 2.5.1.1 Battery electric vehicles -- 2.5.1.2 Stop-start vehicles/micro-/mild-hybrid electric vehicles -- 2.5.1.3 Challenges -- Low temperature behaviour -- High-temperature behaviour -- Safety -- Costs -- 2.5.2 Cell chemistry -- 2.5.3 Negative electrode materials (discharge: anodes) -- 2.5.3.1 Graphite -- 2.5.3.2 Lithium titanate (LTO) -- 2.5.3.3 Lithium alloys 2.5.4 Positive electrode materials (discharge: cathodes) Karden, Eckhard Moseley, Patrick T Rand, David A J 9780444637000 print version oai:cds.cern.ch:2264008 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4811243 ebook ebook EBL201705 Engineering SzGeCERN BOOK n 201719 201705 21 PUBLIC BOOK DELETED 2263990 SzGeCERN 20170811001657.0 9781315389301 104.93 (NL),87.44 (3U),69.95 (1U) electronic version EBL 4805501 eng R858.N338 2017 610.28499999999997 Natarajan, Prashant Demystifying big data and machine learning for healthcare Milton CRC Press 2017 210 p Cover -- Half Title -- Advance Reviews -- Title Page -- Copyright Page -- Dedications -- Table of Contents -- Dedications -- Preface -- Acknowledgments -- About the Authors -- About the Contributors -- Chapter One: Introduction -- 1.1 The Case for Leveraging Big Data Now -- 1.2 Business and Clinical Intelligence, Analytics, and Big Data-An Evolutionary Perspective -- 1.3 Conclusion -- Chapter Two: Healthcare and the Big Data V's -- 2.1 Introduction -- 2.2 Big Data and the V's: A Primer -- 2.3 Sources of Big Data in Healthcare -- 2.4 Two More V's that Matter in Healthcare 2.5 How to Use Big Data -- 2.6 Summary -- Chapter Three: Big Data-How to Get Started -- 3.1 Getting Started Within Your Organization -- 3.2 Assessing Environmental and Organizational Readiness -- 3.3 Data and Use Cases -- 3.4 Effects of Organizational Structure -- 3.5 Conclusion -- Chapter Four: Big Data-Challenges -- 4.1 Building Your Strategy -- 4.2 The Need for Data Governance -- 4.3 Role of Master Data Management -- 4.4 The Skills Gap -- 4.5 Conclusion -- Chapter Five: Best Practices: Separating Myth from Realty -- 5.1 Debunking Common Myths -- 5.2 Best Practices -- 5.3 Conclusion Chapter Six: Big Data Advanced Topics -- 6.1 The NLP Toolbox -- 6.2 Healthcare Use Cases -- 6.3 The Knowledge-Enabled Organization -- 6.4 Knowledge Management and the Learning Organization -- 6.5 Building the Knowledge-Enabled Healthcare Organization -- Chapter Seven: Applied Machine Learning for Healthcare -- 7.1 Introduction -- 7.2 Chapter Overview -- 7.3 A Brief History -- 7.4 What's Different About Machine Learning Today? -- 7.5 How Do Machines Reason and Learn: A Crash Course in Learning Algorithms -- 7.6 Mastering the Basics of Machine Learning -- 7.7 Artificial Neural Networks: An Overview 7.8 Deep Learning -- 7.9 A Guided Tour of Machine-Learning Algorithms in Healthcare -- 7.10 Machine Learning and the Contextually Intelligent Agent -- 7.11 Some Best Practices for Successful Machine Learning -- 7.12 Conclusion -- INTRODUCTION TO CASE STUDIES -- Penn Medicine: Precision Medicine and Big Data -- 1. Introduction -- 2. Toward Precision Medicine -- 3. Conclusion -- Ascension: Our Advanced Analytics Journey -- 1. Introduction -- 2. Advanced Analytics Journey -- 3. Conclusion -- University of Texas MD Anderson: Streaming Analytics -- 1. Introduction -- 2. The Analytics-Enabled EHR 3. Conclusion -- US Health Insurance Organization: Financial Reporting Analytics with Big Data -- 1. Introduction -- 2. Big-Data Strategies -- 3. The Big-Data Analytics Solution for Financial Reporting -- 4. Impact -- 5. Challenges Faced, Lessons Learned -- 6. Conclusion -- CIAPM: California Initiative to Advance Precision Medicine -- 1. Background -- 2. Initial Demonstration Projects -- 3. Next Steps -- 4. New Demonstration Projects -- University of California San Francisco: AI for Imaging of Neurological Emergencies -- 1. Introduction -- 2. Project Goals -- 3. Conclusion BayCare Health System: Actionable, Agile Analytics Using Data Variety Frenzel, John C Smaltz, Detlev H 9781138032637 print version oai:cds.cern.ch:2263990 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4805501 ebook ebook EBL201705 Health Physics and Radiation Effects SzGeCERN BOOK n 201719 201705 21 PUBLIC BOOK DELETED 2263984 SzGeCERN 20210421211406.0 9780081010396 print version 9780128095157 electronic version 89.91 (NL),89.91 (UA),74.93 (3U),59.94 (1U) electronic version oai:cds.cern.ch:2263984 cerncds:BOOK EBL 4803605 eng TK2931.B744 2017 621.31242899999995 Breeze, Paul Fuel cells Saint Louis, MO Elsevier Science 2017 101 p ebook Front Cover -- Fuel Cells -- Copyright Page -- Contents -- 1 An Introduction to Fuel Cells -- 1.1 The History of Fuel Cells -- 1.2 Global Fuel Cell Capacity -- 2 The Fundamentals of Fuel Cell Operation -- 2.1 The Fuel Cell Principle -- 2.2 Catalysts -- 2.3 Hydrocarbon Gas Reformation -- 2.4 Fuel Cell Efficiency -- 2.5 Fuel Cell Types -- 3 The Alkaline Fuel Cell -- 3.1 The History of AFCs -- 3.2 The AFC Principle -- 3.3 Current AFC Design -- 3.4 Hydrogen Fuel for AFCs -- 3.5 Hydroxyl Ion Exchange Membranes -- 3.6 AFCs and Alternative Fuels -- 3.7 Applications of AFCs 4 The Proton Exchange Membrane Fuel Cell -- 4.1 The History of the PEM Fuel Cell -- 4.2 The PEM Principle -- 4.3 PEM Fuel Cell Catalysts -- 4.4 Membranes -- 4.5 Natural Gas Reforming -- 4.6 Commercial Applications of PEM Fuel Cells -- 5 The Phosphoric Acid Fuel Cell -- 5.1 History of the PAFC -- 5.2 The PAFC Principle -- 5.3 Fuel Processing -- 5.4 Commercial Cells -- 6 The Molten Carbonate Fuel Cell -- 6.1 The History of the MCFC -- 6.2 The MCFC Principle -- 6.3 Hybrid Power Systems -- 6.4 Fuel Reforming -- 6.5 Active Carbon Dioxide Capture -- 6.6 Commercial MCFCs -- 6.7 Applications 7 The Solid Oxide Fuel Cell -- 7.1 The History of the SOFC -- 7.2 The SOFC Principle -- 7.3 Electrolytes and Cell Structures -- 7.4 SOFC-Turbine Hybrids -- 7.5 Fuel Processing -- 7.6 Commercial SOFC Cells and Applications -- 8 Direct Methanol Fuel Cell -- 8.1 The History of the DMFC -- 8.2 The DMFC Principle -- 8.3 Membranes and Catalysts -- 8.4 Applications -- 9 Fuel Cells and the Environment -- 9.1 Fuel Cells, Emissions, and Efficiency -- 9.2 The Hydrogen Economy -- 9.3 Other Environmental Considerations -- 10 The Cost of Electricity From Fuel Cells -- 10.1 Levelized Cost of Energy Model 10.2 Capital Cost -- 10.3 The Levelized Cost of Electricity from a Fuel Cell Power Plant -- Back Cover EBL201705 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4803605 ebook n 201719 201705 21 PUBLIC https://catalogue.library.cern/legacy/2263984 BOOK MIGRATED 2263983 SzGeCERN 20171214170518.0 9783319515564 129 (NL),129 (1U) electronic version EBL 4803582 eng ZA4450.O946 2017 5.74 Owen, Anne Techniques for evaluating the differences in multiregional input-output databases a comparative evaluation of CO2 consumption-based accounts calculated using Eora, GTAP and WIOD Cham Springer 2017 233 p Developments in input-output analysis Acknowledgment -- Contents -- Acronyms -- 1 Introduction -- 1.1 Overview -- 1.2 Rationale -- 1.2.1 Input--Output Analysis -- 1.2.2 Consumption-Based Accounting -- 1.2.3 Rapid Development in MRIO Databases, Coverage and Availability -- 1.2.4 Understanding Difference and Uncertainty -- 1.2.5 The Need for Further Research -- 1.3 Aims and Research Themes -- 1.4 Organisation of This Book -- References -- 2 Literature Review -- 2.1 A Brief Overview of Input--Output Techniques -- 2.1.1 Environmentally-Extended Input--Output Analysis -- 2.1.2 Understanding Trade in Input--Output Analysis 2.2 MRIO Construction -- 2.2.1 Data Requirements to Extend IO to Consider Global Trade -- 2.2.2 Preparation of Data for MRIO -- 2.3 Data Sources and Construction of Current MRIO Systems -- 2.3.1 GTAP MRIO -- 2.3.2 WIOD MRIO -- 2.3.3 Eora MRIO -- 2.3.4 Comparing the Source Data, Structure and Construction of Eora, GTAP and WIOD -- 2.4 The Future of MRIO Databases -- 2.4.1 EXIOBASE -- 2.4.2 OECD ICIO -- 2.4.3 Further Considerations -- 2.5 Differences in MRIO Outcomes -- 2.5.1 Exploring the Effect of Data and Build Choices on MRIO Outcomes 2.5.2 Calculated Differences in CBA of Eora, GTAP and WIOD -- 2.6 Policy Applications, Level of Detail and Uncertainty -- 2.6.1 National CBAs -- 2.6.2 Identifying the Imported Component of CBA -- 2.6.3 Impact by Source Nation and/or Product Destination -- 2.6.4 Supply Chain Analysis -- 2.7 Matrix Difference Statistics -- 2.8 Structural Decomposition Analysis -- 2.8.1 Log-Mean Divisia Index -- 2.8.2 Shapely-Sun -- 2.8.3 Dietzenbacher and Los -- 2.8.4 Applications of Structural Decomposition Analysis -- 2.9 Structural Path Analysis -- 2.10 Structural Path Decomposition -- References 3 Methods and Data -- 3.1 Input--Output Analysys -- 3.1.1 The Leontief Inverse -- 3.1.2 Taylor's Expansion -- 3.1.3 Environmentally Extended Input--Output Analysis -- 3.2 Matrix Difference Statistics -- 3.3 Structural Decomposition Analysis -- 3.3.1 Dietzenbacher and Los Method -- 3.3.2 Shapley-Sun Method -- 3.3.3 Logarithmic Mean Divisia Index Method -- 3.4 Structural Path Analysis -- 3.4.1 Structural Path Analysis with Supply and Use Formats -- 3.4.2 Hybrid SUT and SIOT MRIO Tables -- 3.5 Structural Path Decomposition -- 3.6 Aggregating to Common Classifications 3.6.1 The Common Classification System -- 3.6.2 Using Concordance Matrices -- 3.7 Conversion of Supply and Use Tables to Symmetric IO Tables -- 3.7.1 Product-by-product Tables from a SUT (Model B) -- 3.7.2 Industry-by-Industry Tables from a SUT (Model D) -- 3.7.3 Calculation Procedure -- 3.8 Databases and Emissions Extensions Used in This Study -- 3.9 Methodological and Data Framework -- References -- 4 Using Matrix Difference Statistics to Compare MRIO Databases -- 4.1 Overview -- 4.2 Creation of Concordance Matrices 4.3 A Comparison of Monetary Output Using Original and Aggregated MRIO Databases 9783319515557 print version oai:cds.cern.ch:2263983 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4803582 ebook ebook EBL201705 Computing and Computers SzGeCERN BOOK n 201719 201705 21 PUBLIC BOOK DELETED 2263728 SzGeCERN 20170513234457.0 DOI IEEE 10.1109/NSSMIC.2015.7581801 oai:inspirehep.net:1498863 cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d 2017-05-12T04:00:16Z marcxml oai:inspirehep.net:1498863 2017-05-11T10:55:08Z Inspire 1498863 eng Capeans, Mar CERN IEEE Resistive plate chamber operation with new environmentally friendly gases 2016 4 p IEEE Resistive Plate Chamber (RPC) detectors are widely employed in the muon trigger systems of three experiments at the Large Hadron Collider (LHC) thanks to an excellent time resolution. A gas mixture composed of C2H2F4, iC4H10 and SF6 is used for LHC RPCs operation in avalanche mode. C2H2F4 and SF6 have a Global Warming Potential (GWP) of 1430 and 23900 respectively, classifying them as greenhouse gases. The search of new environmentally friendly gas mixtures is advisable for reducing greenhouse gas emissions, operational costs as well as to optimize RPC performance and possible detector aging issues. Two eco-friendly candidates have been identified for substitution of C2H2F4: R1234yf and R1234ze with a GWP of 4 and 6, respectively. A dedicated experimental set-up has been implemented to study single-gap RPC performance in terms of avalanche and streamer operation together with the evaluation of the quenching and electronegative capacities of the selected environmentally friendly Freon. Several new gas mixtures making use of only very low GWP gases have been tested. The first tests confirm that the simple replacement of C2H2F4 and SF6 with the new Freon is not possible and the addition of more reactive gases is necessary to achieve the required performance at LHC. RPCs have been successfully operated in streamer mode in a mixture of R1234yf, Ar and iC4H10. SzGeCERN Detectors and Experimental Techniques author Large Hadron Collider author Sulfur hexafluoride author Detectors author Hafnium oxide author Argon author Standards author Integrated circuits author trigger circuits author nuclear electronics author single-gap RPC performance author resistive plate chamber operation author muon trigger systems author gas mixture author LHC RPCs operation author global warming potential author greenhouse gas emissions CERN Guida, Roberto CERN Mandelli, Beatrice CERN 7581801 C15-10-31 2016 13 1987111 sandiego20151031 7581801 ARTICLE ConferencePaper 2263727 SzGeCERN 20170731220618.0 DOI IEEE 10.1109/NSSMIC.2015.7581800 oai:inspirehep.net:1498862 cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d 2017-05-12T04:00:16Z marcxml oai:inspirehep.net:1498862 2017-05-11T10:55:08Z Inspire 1498862 eng Guida, R CERN IEEE Strategies for reducing the environmental impact of gaseous detector operation at the CERN-LHC experiments 2016 5 p IEEE Over the five experiments (ALICE, ATLAS, CMS, LHCb and TOTEM) taking data at the CERN Large Hadron Collider (LHC) more than 28 gas systems are delivering the proper gas mixture to the corresponding detectors. In some cases the use of expensive and/or greenhouse gases cannot be avoided because of physics requirements that impose certain choice on the gas mixture. Typical example is the use of Freon like R134a, CF4 and SF6. The present contribution describes the current status with the new strategies applied to the LHC gas system in order to reduce operational cost and greenhouse gases emission. SzGeCERN Detectors and Experimental Techniques author Detectors author Large Hadron Collider author Global warming author Monitoring author Gases author Radiation detectors author Complexity theory author position sensitive particle detectors author greenhouse gas emission author environmental impact author gaseous detector operation author ALICE experiment author ATLAS experiment author CMS experiment author LHCb experiment author TOTEM experiment author CERN large hadron collider author CERN-LHC experiments author gas mixture author LHC gas system CERN Capeans, M CERN Mandelli, B CERN 7581800 C15-10-31 2016 13 1987111 sandiego20151031 7581800 ARTICLE ConferencePaper 0-0-0-1-0-0-1 2017-03-21 11:20:26 Invenio/1.1.2.1260-aa76f refextract/1.5.44 2263614 SzGeCERN 20210421211423.0 0306435675 print version, hardback oai:cds.cern.ch:2263614 cerncds:BOOK eng 621.039 Cohen, Bernard L The nuclear energy option an alternative for the 90s New York, NY Plenum Press 1990 338 p paper Some chapter's are based in part on the author's Before it's too late, published by Plenum Press in 1983. University of Pittsburgh physicist Cohen provides accessible, scientifically sound risk analyses of the energy options that he believes must be exercised in the next 10 years. This update of his work on public energy policy stands opposed to the stack of recent greenhouse effect-oriented titles by proposing more nuclear power plants (including fuel reprocessing plants) as statistically the safest, most environmentally sound solution. Cohen advances the debate on energy policy for all sides by first quantifying the human health costs of coal- and oil-generated electricity, and by debunking solar technology's deus ex machina role. In this context, Cohen looks at issues surrounding nuclear power since Three Mile Island, such as the "unsolved problem" of nuclear waste disposal and the "China Syndrome." Media people especially are urged to re-examine "nuclear hysteria" (no one ever writes about " deadly natural gas," Cohen notes), and even anti-nuclear activists will find the study's appendices and notes a sourcebook for the coming round of public policy issues likely to emerge as a result of the Mideast crisis. Copyright 1990 Reed Business Information, Inc. Gift : Picasso, Emilio SzGeCERN Engineering BOOK CERN Depot 1, bldg. 2 (DE1) 621.039 COH h 201719 21 https://catalogue.library.cern/legacy/2263614 BOOK MIGRATED 2263385 SzGeCERN 20210421211436.0 9781119258278 print version 9781119258308 electronic version electronic version oai:cds.cern.ch:2263385 cerncds:BOOK eng Pavan, Shanti Understanding delta-sigma data converters 2nd ed. Hoboken, NJ Wiley-IEEE Press 2017 564 p ebook This new edition introduces novel analysis and design techniques for delta-sigma (ΔΣ) converters in physical and conceptual terms, and includes new chapters that explore developments in the field over the last decade. This book explains the principles and operation of delta-sigma analog-to-digital converters (ADCs) in physical and conceptual terms in accordance with the most recent developments in the field. The interest of ΔΣ converter designers has shifted significantly over the past decade, due to many new applications for data converters at the far ends of the frequency spectrum. Continuous-time delta-sigma A/D converters with GHz clocks, of both lowpass and bandpass types, are required for wireless applications. At the other extreme, multiplexed ADCs with very narrow (sometimes 10 Hz wide) signal bandwidths, but very high accuracy are needed in the interfaces of biomedical and environmental sensors. To reflect the changing eeds of designers, the second edition includes significant new material on both theory and design techniques. IEEE201705 SzGeCERN Engineering BOOK Schreier, Richard Temes, Gabor C 1st ed. 2005 733538 edition https://ezproxy.cern.ch/login?url=http://ieeexplore.ieee.org/servlet/opac?bknumber=7906178 ebook 201705 IEEE n 201719 21 PUBLIC https://catalogue.library.cern/legacy/2263385 BOOK MIGRATED 2262875 SzGeCERN 20220810144856.0 DOI APS 10.1103/PhysRevC.93.045803 oai:inspirehep.net:1447932 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1447932 2017-05-08T07:50:44Z 2017-05-09T04:00:05Z marcxml Inspire 1447932 eng Wallner, A anton.wallner@anu.edu.au Australian Natl. U., Canberra Vienna U. Accelerator mass spectrometry measurements of the $^{13}C(n,γ)^{14}C$ and $^{14}N(n,p)^{14}C$ cross sections 2016 12 p APS The technique of accelerator mass spectrometry (AMS), offering a complementary tool for sensitive studies of key reactions in nuclear astrophysics, was applied for measurements of the C13(n,γ)C14 and the N14(n,p)C14 cross sections, which act as a neutron poison in s-process nucleosynthesis. Solid samples were irradiated at Karlsruhe Institute of Technology with neutrons closely resembling a Maxwell-Boltzmann distribution for kT=25 keV, and also at higher energies between En=123 and 182 keV. After neutron irradiation the produced amount of C14 in the samples was measured by AMS at the Vienna Environmental Research Accelerator (VERA) facility. For both reactions the present results provide important improvements compared to previous experimental data, which were strongly discordant in the astrophysically relevant energy range and missing for the comparably strong resonances above 100 keV. For C13(n,γ) we find a four times smaller cross section around kT=25 keV than a previous measurement. For N14(n,p), the present data suggest two times lower cross sections between 100 and 200 keV than had been obtained in previous experiments and data evaluations. The effect of the new stellar cross sections on the s process in low-mass asymptotic giant branch stars was studied for stellar models of 2M⊙ initial mass, and solar and 1/10th solar metallicity. publication CC-BY-3.0 authors 2016 publication SzGeCERN Nuclear Physics - Experiment SzGeCERN Astrophysics and Astronomy CERN Bichler, M Atominstitut Buczak, K Vienna U. Dillmann, I Karlsruhe, Forschungszentrum Käppeler, F Karlsruhe, Forschungszentrum Karakas, A Res. Sch. Astron. Astrophys., Weston Creek Lederer, C Vienna U. Lugaro, M Konkoly Observ. Mair, K Vienna U. Mengoni, A CERN Schätzel, G Vienna U. Steier, P Vienna U. Trautvetter, H P Ruhr U., Bochum 045803 4 Phys. Rev. C 93 2016 1311328 1219590 http://cds.cern.ch/record/2262875/files/PhysRevC.93.pdf 13 ARTICLE 2262402 SzGeCERN 20210422083658.0 9789811035746 print version 9789811035753 electronic version electronic version DOI 10.1007/978-981-10-3575-3 e-proceedings oai:cds.cern.ch:2262402 cerncds:CONF eng TJ163.5.T7 23 388 20170519 3rd International Symposium for Intelligent Transportation and Smart City Shanghai, China 19 - 20 May 2017 2017 tongji20170519 CN ITASC 20170520 Singapore Springer 2017 ebook Smart innovation, systems and technologies 62 2190-3018 This book presents research advances in intelligent transportation and smart cities in detail, mainly focusing on green traffic and urban utility tunnels, presented at the 3rd International Symposium for Intelligent Transportation and Smart City (ITASC) held at Tongji University, Shanghai, on May 19–20, 2017. It discusses a number of hot topics, such as the 2BMW system (Bus, Bike, Metro and Walking), transportation safety and environmental protection, urban utility design and application, as well as the application of BIM (Building Information Modeling) in city design. By connecting the theory and applications of intelligent transportation in smart cities, it enhances traffic efficiency and quality. The book gathers numerous selected papers and lectures, including contributions from respected scholars and the latest engineering advances, to provide guidance to researchers in the field of transportation and urban planning at universities and in related industries. The first conference in the ITASC series started in 2013 as a workshop of The International Symposium on Autonomous Decentralized System (ISADS), held in Mexico City, and the second was held in May 2015, in Tongji University, Shanghai. SPR201705 Engineering SzGeCERN Engineering SPR Energy CONFERENCE PROCEEDINGS Zeng, Xiaoqing ed. Xie, Xiongyao ed. Sun, Jian ed. Ma, Limin ed. Chen, Yinong ed. ITASC Acronym 201705 SPR n 201718 42 PUBLIC https://catalogue.library.cern/legacy/2262402 PROCEEDINGS MIGRATED 2262179 SzGeCERN 20210421211523.0 9783319558394 print version 9783319558400 electronic version electronic version DOI 10.1007/978-3-319-55840-0 ebook oai:cds.cern.ch:2262179 cerncds:BOOK eng TK7888.4 621.3815 23 Lienig, Jens Fundamentals of electronic systems design Cham Springer 2017 ebook Introduction -- Design Process and its Fundamentals -- System Architecture and Protection Requirements -- Reliability Analysis -- Thermal Management and Cooling -- Electromagnetic Compatibility (EMC) -- Recycling Requirements and Design for Environmental Compliance -- Appendix. This textbook covers the design of electronic systems from the ground up, from drawing and CAD essentials to recycling requirements. Chapter by chapter, it deals with the challenges any modern system designer faces: the design process and its fundamentals, such as technical drawings and CAD, electronic system levels, assembly and packaging issues and appliance protection classes, reliability analysis, thermal management and cooling, electromagnetic compatibility (EMC), all the way to recycling requirements and environmental-friendly design principles. Enables readers to face various challenges of designing electronic systems, including coverage from various engineering disciplines; Written to be accessible to readers of varying backgrounds; Uses illustrations extensively to reinforce fundamental concepts; Organized to follow essential design process, although chapters are self-contained and can be read in any order. Engineering SPR201705 SzGeCERN Engineering BOOK Bruemmer, Hans SPR n 201718 201705 21 PUBLIC https://catalogue.library.cern/legacy/2262179 BOOK MIGRATED 2262139 SzGeCERN 20210421211531.0 9783319562261 print version 9783319562278 electronic version electronic version DOI 10.1007/978-3-319-56227-8 ebook oai:cds.cern.ch:2262139 cerncds:BOOK eng TA349-359 620.1 23 Alderliesten, René Fatigue and fracture of fibre metal laminates Cham Springer 2017 ebook Solid mechanics and its applications 0925-0042 236 I Laminate concepts and properties -- 1 Introduction -- 2 Intellectual property and patents -- 3 Laminate concepts and typical properties -- II Prediction & analysis methods -- 1 Stress-train -- 2 Blunt notch strength -- 3 Bearing strength -- 4 Fatigue initiation -- 5 Static and fatigue delamination -- 6 Fatigue crack propagation -- 7 Residual strength -- III Environmental aspects -- 1 Temperature -- 2 Effect of frequency (wave form, hold time) -- 3 Acoustic fatigue. This book contributes to the field of hybrid technology, describing the current state of knowledge concerning the hybrid material concept of laminated metallic and composite sheets for primary aeronautical structural applications. It is the only book to date on fatigue and fracture of fibre metal laminates (FMLs). The first section of the book provides a general background of the FML technology, highlighting the major FML types developed and studied over the past decades in conjunction with an overview of industrial developments based on filed patents. In turn, the second section discusses the mechanical response to quasi-static loading, together with the fracture phenomena during quasi-static and cyclic loading. To consider the durability aspects related to strength justification and certification of primary aircraft structures, the third section discusses thermal aspects related to FMLs and their mechanical response to various environmental and acoustic conditions. Engineering SPR201705 SzGeCERN Engineering BOOK SPR n 201718 201705 21 PUBLIC https://catalogue.library.cern/legacy/2262139 BOOK MIGRATED 2262137 SzGeCERN 20210421211531.0 9783319555973 print version 9783319555980 electronic version electronic version DOI 10.1007/978-3-319-55598-0 ebook oai:cds.cern.ch:2262137 cerncds:BOOK eng Q342 006.3 23 Applications of sliding mode control in science and engineering Cham Springer 2017 ebook Studies in computational intelligence 1860-949x 709 Sliding Mode Control Design for Some Classes of Chaotic Systems -- Sliding Mode Based Control and Synchronization of Chaotic Systems in Presence of Parametric Uncertainties -- Chattering Free Sliding Mode Controller Design for a Quadrotor Unmanned Aerial Vehicle -- Terminal Sliding Mode Controller Design for a Quadrotor Unmanned Aerial Vehicle -- Insensibility of the Second Order Sliding Mode Control via Measurement Noises: Application to a Robot Manipulator Surveillance Camera -- Robust Control of a Photovoltaic Battery System via Fuzzy Sliding Mode Approach -- Particle Swarm Optimization based Sliding Mode Control Design: Application to a Quadrotor Vehicle -- Global Stabilization of Nonlinear Systems via Novel Second Order Sliding Mode Control with an Application to a Novel Highly Chaotic System -- Complete Synchronization of Chaotic Systems via Novel Second Order Sliding Mode Control with an Application to a Novel Three-Scroll Chaotic System -- Novel Second-Order Sliding Mode Control Design for the Anti-Synchronization of Chaotic Systems with an Application to a Novel Four-Wing Chaotic System -- Control and Synchronization of a Novel Hyperchaotic Two-Disk Dynamo System via Adaptive Integral Sliding Mode Control -- Adaptive Integral Sliding Mode Controller Design for the Control and Synchronization of a Rod-Type Plasma Torch Chaotic System -- Adaptive Integral Sliding Mode Controller Design for the Regulation and Synchronization of a Novel Hyperchaotic Finance System with a Stable Equilibrium -- Adaptive Integral Sliding Mode Controller Design for the Control of a Novel 6-D Coupled Double Convection Hyperchaotic System -- A Memristor-Based Hyperchaotic System with Hidden Attractor and its Sliding Mode Control -- Adaptive Integral Sliding Mode Control of a Chemical Chaotic Reactor System -- Adaptive Integral Sliding Mode Controller Design for the Control and Synchronization of a Novel Jerk Chaotic System -- Sliding Mode Control Design for a Sensorless Sun Tracker -- Super-Twisting Sliding Mode Control of the Enzymes-Substrates Biological Chaotic System -- Super-Twisting Sliding Mode Control and Synchronization of Moore-Spiegel Thermo-Mechanical Chaotic System. Gathering 20 chapters contributed by respected experts, this book reports on the latest advances in and applications of sliding mode control in science and engineering. The respective chapters address applications of sliding mode control in the broad areas of chaos theory, robotics, electrical engineering, physics, chemical engineering, memristors, mechanical engineering, environmental engineering, finance, and biology. Special emphasis has been given to papers that offer practical solutions, and which examine design and modeling involving new types of sliding mode control such as higher order sliding mode control, terminal sliding mode control, super-twisting sliding mode control, and integral sliding mode control. This book serves as a unique reference guide to sliding mode control and its recent applications for graduate students and researchers with a basic knowledge of electrical and control systems engineering. Engineering SPR201705 SzGeCERN Engineering BOOK Vaidyanathan, Sundarapandian ed. Lien, Chang-Hua ed. SPR n 201718 201705 21 PUBLIC https://catalogue.library.cern/legacy/2262137 BOOK MIGRATED 2262136 SzGeCERN 20210421211532.0 9783319555942 print version 9783319555959 electronic version electronic version DOI 10.1007/978-3-319-55595-9 ebook oai:cds.cern.ch:2262136 cerncds:BOOK eng TA329-348 TA640-643 23 519 Green IT engineering components, networks and systems implementation Cham Springer 2017 ebook Studies in systems, decision and control 105 2198-4182 Vedic Mathematics as Fast Algorithms in Green Computing for Internet of Things -- Technologies for Greener Internet of Things Systems -- Secure, Green Implementation of Modular Arithmetic Operations for IoT and Cloud Applications -- Green Cyber Physical Computing as Sustainable Development Model -- Data Collection for Environmental and Humanitarian Crisis Management -- Influence of software optimization on energy consumption of embedded systems -- Energy Efficiency of 4th Gen Intel ® Core ™ Processor vs 3rd Gen Intel ® Core ™ Processor -- Malicious Software Effect on the Mobile Devices Power Consumption -- Rational Intellectualization of the Aircraft Control: resources-saving safety improvement -- Resource and Energy Optimization Oriented Development of FPGA-Based Adaptive Logical Networks for Classification Problem -- Green Experiments with FPGA -- Green Logic: Green LUT FPGA Concepts, Models and Evaluations -- The Concept of Virtual Manufacturing Enterprise Operation as a Green Complex System -- Green-IT Approach to Design and Optimization of Thermoacoustic Waste Heat Utilization Plant Based on Soft Computing -- G. Resource-oriented approaches to implementation of traffic control technologies in safety-critical I&C systems -- Markov Models of Smart Grid Digital Substations Availability: Multi-Level Degradation and Recovery of Power Resources Issues. This book presents modern approaches to improving the energy efficiency, safety and environmental performance of industrial processes and products, based on the application of advanced trends in Green Information Technologies (IT) Engineering to components, networks and complex systems (software, programmable and hardware components, communications, Cloud and IoT-based systems, as well as IT infrastructures). The book’s 16 chapters, prepared by authors from Greece, Malaysia, Russia, Slovakia, Ukraine and the United Kingdom, are grouped into four sections: (1) The Green Internet of Things, Cloud Computing and Data Mining, (2) Green Mobile and Embedded Control Systems, (3) Green Logic and FPGA Design, and (4) Green IT for Industry and Smart Grids. The book will motivate researchers and engineers from different IT domains to develop, implement and propagate green values in complex systems. Further, it will benefit all scientists and graduate students pursuing research in computer science with a focus on green IT engineering. Engineering SPR201705 SzGeCERN Engineering SPR Renewable energy resources SPR Renewable energy sources SPR Alternate energy sources SPR Green energy industries SPR Renewable and Green Energy BOOK Kharchenko, Vyacheslav ed. Kondratenko, Yuriy ed. Kacprzyk, Janusz ed. 201705 SPR n 201718 21 PUBLIC https://catalogue.library.cern/legacy/2262136 BOOK MIGRATED 2262131 SzGeCERN 20210421211533.0 9789811032370 print version 9789811032387 electronic version electronic version DOI 10.1007/978-981-10-3238-7 ebook oai:cds.cern.ch:2262131 cerncds:BOOK eng TK5102.9 TA1637-1638 TK7882.S65 621.382 23 Zheng, Thomas Fang Robustness-related issues in speaker recognition Singapore Springer 2017 ebook SpringerBriefs in electrical and computer engineering 2191-8112 Speaker Recognition: Introduction -- Environmental-Related Robustness Issues -- Speaker-Related Robustness Issues -- Application-Oriented Robustness Issues -- Conclusions and Future Work. This book presents an overview of speaker recognition technologies with an emphasis on dealing with robustness issues. Firstly, the book gives an overview of speaker recognition, such as the basic system framework, categories under different criteria, performance evaluation and its development history. Secondly, with regard to robustness issues, the book presents three categories, including environment-related issues, speaker-related issues and application-oriented issues. For each category, the book describes the current hot topics, existing technologies, and potential research focuses in the future. The book is a useful reference book and self-learning guide for early researchers working in the field of robust speech recognition. Engineering SPR201705 SzGeCERN Engineering SPR Computational linguistics SPR Computational Linguistics BOOK Li, Lantian SPR n 201718 201705 21 PUBLIC https://catalogue.library.cern/legacy/2262131 BOOK MIGRATED 2270772 SzGeCERN 20180614151521.0 DOI submitter 10.1016/j.ijms.2016.12.015 oai:inspirehep.net:1605078 cerncds:CERN ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1605078 2017-06-20T10:42:10Z 2017-06-21T04:00:08Z marcxml Inspire 1605078 eng Martschini, Martin Vienna U. submitter Selective laser photodetachment of intense atomic and molecular negative ion beams with the ILIAS RFQ ion beam cooler crossref Selective laser photodetachment of intense atomic and molecular negative ion beams with the ILIAS RFQ ion beam cooler 2017 9 p submitter The Ion Laser InterAction Setup (ILIAS) project at the University of Vienna aims at the exploration of negative ion beam filtering by selective laser photodetachment for applications in accelerator mass spectrometry (AMS). A gas-filled radio frequency quadrupole (RFQ) is used to decelerate and cool negative atomic and molecular ion beams with intensities of up to several hundred nA, and overlap them collinearly with a continuous wave (cw) laser beam. Ion-laser interaction times ranging from 500 μs to several ms allow for highly efficient, selective photodetachment depletion of disturbing ion species within these beams. The elemental selectivity of this technique is based on the differences in electron affinities, and therefore does not depend on relative differences in atomic numbers. It may therefore provide sufficient isobar suppression for new trace isotopes, which are not accessible with existing AMS techniques. The ILIAS RFQ cooler was characterized at a purpose-built test bench with respect to ion beam transmission, ion cooling capabilities and ion residence times as a function of injected ion current to assess its suitability for future AMS use. $A ^{63}Cu−$ test beam of 600 nA was photodetached with more than 99.999% efficiency with a 532 nm laser at 10.8 W power. At the same time, ions of interest having electron affinities higher than the photon energy passed the cooler unaffected. Total ion losses were thus found to be below 50% of the sputter source output. Finally, first photodetachment experiments in connection with $^{26}Al$ detection demonstrated selective isobar suppression of MgO− vs. AlO− by more than 4 orders of magnitude. Currently, the RFQ cooler is moved to a new injector beamline at the Vienna Environmental Research Accelerator (VERA) for first applications of this novel technique at a state-of-the-art AMS facility. SzGeCERN Engineering CERN Pitters, Johanna Vienna U. CERN Moreau, Tobias Vienna U. Andersson, Pontus Vienna U. Chalmers U. Tech. Forstner, Oliver Vienna U. Jena U. Hanstorp, Dag U. Gothenburg (main) Lachner, Johannes Vienna U. Liu, Yuan Oak Ridge Priller, Alfred Vienna U. Steier, Peter Vienna U. Golser, Robin Vienna U. 9-17 Int. J. Mass Spectrometry 415 2017 13 ARTICLE 2269881 SzGeCERN 20171214170536.0 9781447173250 129 (NL),129 (1U) electronic version EBL 4853813 eng QA75.5-76.95 004 Hallock, Harold L ACS without an attitude London Springer 2017 290 p NASA monographs in systems and software engineering Preface -- Contents -- Acronyms -- 1 Attitude Conventions and Definitions -- 1.1 Definition of the Inertial Reference Frame -- 1.2 Defining Attitude via Euler Angles (Right Ascension, Declination, and Roll) -- 1.3 Defining Attitude via Euler Angles (Roll, Pitch, and Yaw) -- 1.4 Defining Attitude via the Direction Cosine Matrix -- 1.5 Defining Attitude via the Eigenvector and Rotation Angle -- 1.6 Defining Attitude via Quarternions -- 1.7 Attitude Format Applications -- 2 General Orbit Background -- 2.1 Historical Perspective -- 2.2 Orbital Shapes 2.3 Specifying the Orbit's Orientation in Inertial Space -- 2.4 The Location of the Spacecraft in the Orbit -- 2.5 Keplerian Element Types -- 2.6 Orbit Perturbations - Oblate Earth -- 2.7 Orbit Perturbations - Aerodynamic Drag -- 2.8 Orbit Perturbations - Solar Radiation Pressure -- 2.9 Orbit Perturbations - Orbit Maneuvers with Thrusters -- 3 Angular Momentum and Torque -- 3.1 Historical Digression -- 3.2 Translational Motion -- 3.3 Rotational Motion -- 3.4 Motion of the Center of Mass Versus Motion About the Center of Mass -- 3.5 How the Moment of Inertia Tensor Describes the Object's Nature 3.6 Types of Torque-Free Rotational Motion -- 3.7 How Torques Can Influence an Object's Rotational Motion -- 3.8 Attitude Control Torques -- 3.9 Environmental Torques -- 4 Attitude Measurement Sensors -- 4.1 Sun Sensors -- 4.2 Earth Sensors -- 4.3 Magnetometers -- 4.4 Star Sensors -- 4.5 Gyros -- 5 Attitude Actuators -- 5.1 Reaction Wheels -- 5.2 Magnetic Torquer Bars (MTBs) -- 5.3 Thrusters -- 6 Reference Models -- 6.1 Modeling the Earth's Gravitational Field -- 6.2 Modeling the Spacecraft's Ephemeris -- 6.3 Modeling Solar, Lunar, and Planetary Ephemerides -- 6.4 Modeling the Geomagnetic Field 6.5 Star Catalogs -- 6.6 Velocity Aberration -- 6.7 Parallax -- 6.8 Stellar Magnitude -- 6.9 Star Catalog Examples -- 7 Onboard Attitude Determination -- 7.1 Attitude Propagation with Gyroscope Data -- 7.2 Reference Attitude -- 7.3 Minimum Data Attitude Determination -- 7.4 Batch Attitude Determination with Vector Observations -- 7.5 Attitude Uncertainty: The Covariance Matrix -- 7.6 Combining Multiple Attitude Solutions -- 7.7 Combining an Attitude Solution with a Vector Measurement -- 7.8 Measurement Propagation and De-Weighting -- 7.9 Recursive Attitude Estimation 7.10 Recursive Attitude Plus Gyro Bias Estimation -- 7.11 The Kalman Filter for Recursive Least Squares -- 7.12 Synopsis -- 7.13 Mathematics to English Translation of Kalman Filtering -- 8 Spacecraft State Estimation More Broadly -- 8.1 Attitude-Related Least Squares Problems -- 8.1.1 Star Tracker Relative Alignments -- 8.1.2 Star Tracker Internal Calibrations -- 8.1.3 Gyroscope Calibration -- 8.1.4 Sun Sensor Calibration -- 8.1.5 Magnetometer Calibration -- 8.1.6 Wavefront Calibration -- 8.2 General Issues -- 8.2.1 Observability -- 8.2.2 State Vector Selection -- 8.2.3 Observation Model 8.2.4 Least Squares Filters Welter, Gary Simpson, David G Rouff, Christopher 9781447173243 print version oai:cds.cern.ch:2269881 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4853813 ebook ebook EBL201706 Computing and Computers SzGeCERN BOOK n 201724 201706 21 PUBLIC BOOK DELETED 2269879 SzGeCERN 20180612223803.0 9789048529360 36.99 (NL),55.49 (UA),46.24 (3U),36.99 (1U) electronic version EBL 4853757 eng N5300-7818 005.74 Wessels, Bridgette Open data and the knowledge society Amsterdam Amsterdam University Press 2017 205 p Cover -- Contents -- Acknowledgements -- List of acronyms -- 1. Introduction -- RECODE -- The book -- 2. Defining a 'knowledge society' -- Introduction -- Data in society -- Society as a social and human product: Learning, knowledge and institutions -- Science as an institution: Knowledge production and society -- Post-industrial society: Positioning knowledge in the wider socio-economic process -- Information society and the knowledge economy -- Defining a knowledge society and changes towards Mode 2 knowledge production -- Conclusion -- 3. Visions of open data -- Introduction Civil society and open data -- Open government data -- Open research data -- Commercial sector and big data -- Provenance of data and data ecosystems -- Conclusion -- 4. Mobilising open data -- Introduction -- Summary of the overarching context of a movement pushing for open data -- Understanding the mobilisation of open data as a movement -- Openness as a value: Society, science and the World Wide Web (WWW) -- The configuration of an open data movement: The characteristics of social movements and actors in mobilising open data Open data in wider society: Citizens and organisations access and use of data -- Conclusion -- 5. Institutions in the data ecosystem -- Actors in the public knowledge domain and in private data companies -- Introduction -- Institutions and their changing role in data ecosystems -- Challenges -- Conclusion -- 6. Mobilising data -- Scientific disciplines, scientific practice and making research data open -- Introduction -- The policy drive towards open research data -- Disciplinary negotiations around implementing open access to research data Current research practices and their alignment with open access -- Data-centred research -- Data work and recognition -- Contemporary research and data complexity -- Conclusion: Mobilising data -- 7. Mobilising data -- Environmental data, technical and governance issues -- Introduction -- Open access and the earth system -- The environmental data ecosystem -- Open environmental data: Key technological and infrastructural issues -- Issues in open data governance -- Conclusion -- 8. Navigating legal and ethical frameworks -- Introduction -- Governance structures Navigating these structures to enable innovation -- Archaeology -- Bioengineering -- Environmental sciences -- Health and clinical research -- Particle physics -- Existing novel solutions -- Challenges for open access -- Conclusion -- 9. Big data, open data and the commercial sector -- Introduction -- Big data and innovation -- A complex innovation space -- Big data, open data and policy support -- The data development gap for European industry -- Conclusion -- 10. Conclusion -- Bibliography -- Index Finn, Rachel Wadhwa, Kush Sveinsdottir, Thordis 9789462980181 print version oai:cds.cern.ch:2269879 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4853757 ebook ebook EBL201706 Computing and Computers SzGeCERN BOOK n 201724 201706 21 PUBLIC BOOK DELETED 2269855 SzGeCERN 20190321204920.0 9781119136415 142.5 (NL),142.5 (3U),95 (1U) electronic version EBL 4841876 eng 005.1 Petrowski, Alain Evolutionary algorithms an overview Somerset John Wiley & Sons 2017 261 p Cover -- Title Page -- Copyright -- Contents -- Preface -- 1. Evolutionary Algorithms -- 1.1. From natural evolution to engineering -- 1.2. A generic evolutionary algorithm -- 1.3. Selection operators -- 1.3.1. Selection pressure -- 1.3.2. Genetic drift -- 1.3.3. Proportional selection -- 1.3.4. Tournament selection -- 1.3.5. Truncation selection -- 1.3.6. Environmental selection -- 1.3.7. Selection operators: conclusion -- 1.4. Variation operators and representation -- 1.4.1. Generalities about the variation operators -- 1.4.2. Crossover -- 1.4.3. Mutation -- 1.5. Binary representation 1.5.1. Crossover -- 1.5.2. Mutation -- 1.6. The simple genetic algorithm -- 1.7. Conclusion -- 2. Continuous Optimization -- 2.1. Introduction -- 2.2. Real representation and variation operators for evolutionary algorithms -- 2.2.1. Crossover -- 2.2.2. Mutation -- 2.3. Covariance Matrix Adaptation Evolution Strategy -- 2.3.1. Method presentation -- 2.3.2. The CMA-ES algorithm -- 2.4. A restart CMA Evolution Strategy -- 2.5. Differential Evolution (DE) -- 2.5.1. Initializing the population -- 2.5.2. The mutation operator -- 2.5.3. The crossover operator -- 2.5.4. The selection operator 2.6. Success-History based Adaptive Differential Evolution (SHADE) -- 2.6.1. The algorithm -- 2.6.2. Current-to-pbest/1 mutation -- 2.6.3. The success history -- 2.7. Particle Swarm Optimization -- 2.7.1. Standard Particle Swarm Algorithm 2007 -- 2.7.2. The parameters -- 2.7.3. Neighborhoods -- 2.7.4. Swarm initialization -- 2.8. Experiments and performance comparisons -- 2.8.1. Experiments -- 2.8.2. Results -- 2.8.3. Discussion -- 2.9. Conclusion -- 2.10. Appendix: set of basic objective functions used for the experiments -- 3. Constrained Continuous Evolutionary Optimization 3.1. Introduction -- 3.1.1. The problem with Constrained Evolutionary Optimization -- 3.1.2. Taxonomy -- 3.2. Penalization -- 3.2.1. Static penalties -- 3.2.2. Dynamic penalties -- 3.2.3. Adaptive penalties -- 3.2.4. Self-adaptive penalties -- 3.2.5. Stochastic ranking -- 3.3. Superiority of feasible solutions -- 3.3.1. Special penalization -- 3.3.2. Feasibility rules -- 3.4. Evolving on the feasible region -- 3.4.1. Searching for feasible solutions -- 3.4.2. Maintaining feasibility using special operators -- 3.5. Multi-objective methods -- 3.5.1. Bi-objective techniques 3.5.2. Multi-objective techniques -- 3.6. Parallel population approaches -- 3.7. Hybrid methods -- 3.8. Conclusion -- 4. Combinatorial Optimization -- 4.1. Introduction -- 4.1.1. Solution encoding -- 4.1.2. The knapsack problem (KP) -- 4.1.3. The Traveling Salesman Problem (TSP) -- 4.2. The binary representation and variation operators -- 4.2.1. Binary representation for the 0/1-KP -- 4.2.2. Binary representation for the TSP -- 4.3. Order-based Representation and variation operators -- 4.3.1. Crossover operators -- 4.3.2. Mutation operators -- 4.3.3. Specific operators -- 4.3.4. Discussion 4.4. Conclusion Ben-Hamida, Sana Michalewicz, Zbigniew 9781848218048 print version oai:cds.cern.ch:2269855 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4841876 ebook ebook EBL201706 Computing and Computers SzGeCERN BOOK n 201724 201706 21 PUBLIC BOOK DELETED 2269647 SzGeCERN 20171214170532.0 9783319479712 229 (NL),229 (1U) electronic version EBL 4831812 eng TA357.C378 2017 532.04999999999995 Castro-Orgaz, Oscar Non-hydrostatic free surface flows Cham Springer 2017 699 p Advances in geophysical and environmental mechanics and mathematics Preface -- Acknowledgements -- Contents -- 1 Introduction -- 1.1 Aim and Scope -- 1.2 Hydrostatic and Non-hydrostatic Free Surface Flows -- 1.3 Historical Background -- 1.4 Non-hydrostatic Flows and Environmental Mechanics -- 1.5 Methodology -- References -- 2 Vertically Integrated Non-hydrostatic Free Surface Flow Equations -- 2.1 Introduction -- 2.2 Vertically Integrated Equations in Continuum Mechanical Description -- 2.2.1 Basic Conservation Laws -- 2.2.2 Depth-Integrated Continuity Equation -- 2.2.3 Depth-Integrated Momentum Equations in Horizontal Plane 2.2.4 Non-hydrostatic Stresses in z-Direction and Vertical Velocity Profile -- 2.3 Shallow Flow Approximation and Depth-Averaged Equations -- 2.4 Simplified Forms of Non-hydrostatic Extended Flow Equations -- 2.4.1 RANS Model for River Flow -- 2.4.2 One-Dimensional Water Waves Over Horizontal Topography -- 2.4.3 Turbulent Uniform Flow on Steep Terrain -- 2.4.4 Flows Over Curved Beds -- 2.4.5 Enhanced Gravity -- 2.4.6 Non-hydrostatic Model Including Friction Effects -- 2.5 Sediment Transport and Movable Beds -- 2.5.1 Introduction 2.5.2 Non-hydrostatic Unsteady Free Surface Flow with Bed-Load Sediment Transport -- 2.6 Numerical Methods for Boussinesq-Type Models -- 2.6.1 Unsteady Flow Simulations -- 2.6.2 Steady Flow Simulations -- 2.7 Higher-Order Equations -- 2.7.1 Fawer-Type Equations -- 2.7.2 Moment Equations -- References -- 3 Inviscid Channel Flows -- 3.1 Introduction -- 3.2 Potential Flow Theory -- 3.2.1 Fundamentals -- 3.2.2 Conservation Laws -- 3.2.3 Flow Net -- 3.3 Picard Iteration -- 3.3.1 General Aspects of Iterative Solutions -- 3.3.2 Second-Order Velocity Field -- 3.3.3 Third-Order Velocity Field 3.4 Approximate Treatment of Flow Net Geometry -- 3.4.1 Velocity Profile -- 3.4.2 Extended Equations -- 3.5 Curvilinear Coordinates: Dressler's Theory -- 3.5.1 Governing Equations for Potential Flow -- 3.5.2 Picard Iteration in Curvilinear Coordinates -- 3.5.3 Dressler's Theory -- 3.5.4 Second-Order Dressler-Type Model -- 3.6 Critical Flow Conditions in Curved Streamline Flows -- 3.6.1 Critical Irrotational Flows -- 3.6.2 Minimum Specific Energy -- 3.6.3 Maximum Discharge -- 3.7 2D Solution of Irrotational Flows: The x-ψ Method -- 3.7.1 Semi-inverse Mapping 3.7.2 Boundary Conditions at Up- and Downstream Sections -- 3.7.3 Free Surface Profile and Energy Head -- 3.7.4 Solution of Laplacian Field -- 3.7.5 Determination of Velocity and Pressure Distributions -- 3.8 Free Overfall -- 3.8.1 Picard Iteration -- 3.8.2 Curvilinear Flow at the Brink Section -- 3.8.3 Moment of Momentum Method -- 3.8.4 Two-Dimensional Solution -- 3.8.5 Flow Net -- 3.9 Transition from Mild to Steep Slopes -- 3.9.1 Picard Iteration -- 3.9.2 Two-Dimensional Solution -- 3.9.3 Flow Net -- 3.10 Flow Over Round-Crested Weirs -- 3.10.1 Picard Iteration -- 3.10.2 Dressler's Theory 3.10.3 Two-Dimensional Solution Hager, Willi H 9783319479699 print version oai:cds.cern.ch:2269647 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4831812 ebook ebook EBL201706 Other Fields of Physics SzGeCERN BOOK n 201724 201706 21 PUBLIC BOOK DELETED 2269621 SzGeCERN 20171214170531.0 9783319518442 199 (NL),199 (1U) electronic version EBL 4825445 eng GB3-5030 526.1 Pirasteh, Saied Global changes and natural disaster management Cham Springer 2017 229 p Preface -- Contents -- Contributors -- Land Use and Land Cover Change -- 1 Examining the Effect of Land Use on the Spatiotemporal Dynamics of Urban Temperature in an Industrial City: A Landsat Imagery Analysis -- Abstract -- 1 Introduction -- 2 Study Area -- 3 Methodology -- 3.1 Retrieval of Land Surface Temperature (LST) -- 4 Results and Discussion -- 5 Conclusions -- Acknowledgements -- References -- 2 The Study of Multi-temporal Analysis of Urban Development and Environmental Changes of the City of Abu Dhabi -- Abstract -- 1 Introduction -- 2 Study Area and Data Description 3 Methodology -- 3.1 Geometric Correction and Mosaicking -- 3.2 Vegetation Analysis -- 3.3 Urban Expansion Analysis -- 3.4 Classification -- 4 Results and Discussion -- 4.1 Vegetation Analysis -- 4.2 Urban Expansion -- 4.3 Classification -- 4.4 Relating the Plots -- 5 Conclusion -- References -- 3 CRF-Based Simultaneous Segmentation and Classification of High-Resolution Satellite Images -- Abstract -- 1 Introduction -- 2 Related Work -- 3 CRF-Based Image Classification Method -- 3.1 Features Calculation -- 3.1.1 SIFT Descriptor -- 3.1.2 Color-SIFT Descriptor -- 3.1.3 LBP Feature 3.1.4 Texton Feature -- 3.2 Mean Shift Image Segmentation -- 3.3 Potential Function -- 3.3.1 Unary Potential -- 3.3.2 Pairwise Potential -- 3.3.3 Region Consistency Potential -- 3.4 Graph Cut -- 4 Results and Discussion -- 5 Conclusion -- Acknowledgements -- References -- 4 The Dynamic of Dike-Pond System in the Pearl River Delta During 1964-2012 -- Abstract -- 1 Introduction -- 2 Study Area -- 3 Methodology -- 3.1 Overview of Workflow -- 3.2 Remote Sensing Data and Data Preprocess -- 3.3 Object-Oriented Classification -- 4 Results and Discussion 4.1 Analysis of the Area of Dike-Pond Patches and Dynamic Change Trends -- 4.2 The Dynamic Transfer of Dike-Pond Land -- 4.3 Analysis of Interactions Between Dike-Pond Land and Developed Land -- 5 Conclusions -- Acknowledgements -- References -- Agriculture Monitoring -- 5 Effects of Irrigation and Nitrogen on Maize Growth and Yield Components -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Experimental Sites -- 2.2 Experimental Design -- 2.3 Measurements -- 2.4 Statistical Analysis -- 3 Results and Discussion -- 3.1 Plant Height -- 3.2 Crop Growth Rate 3.3 Yield and Its Components -- 3.4 Water Use Efficiency and Harvest Index -- 3.5 Population Physiological Indices -- 4 Conclusions -- Acknowledgements -- References -- 6 A Review of the Effects of Drought on the Grain Yield in the Vays, Mollasani, and Salamat Regions of the Khuzestan Province -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Characteristics of the Study Area -- 2.2 The General Steps of the Project -- 2.2.1 The Use of SPI Index to Evaluate the Phenomena of Drought in the Region -- 2.2.2 The Use of Satellite Images to Extract Useful Data 2.2.3 The Use of GIS for Spatial Data Analysis Li, Jonathan 9783319518435 print version oai:cds.cern.ch:2269621 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4825445 ebook ebook EBL201706 Astrophysics and Astronomy SzGeCERN BOOK n 201724 201706 21 PUBLIC BOOK DELETED 2269603 SzGeCERN 20210421211038.0 9780128052976 print version 9780128054437 electronic version 225 (NL),225 (UA),187.5 (3U),150 (1U) electronic version oai:cds.cern.ch:2269603 cerncds:BOOK EBL 4815437 eng TP247.5.A67 2017 541.3482 Pena-Pereira, Francisco The application of green solvents in separation processes Saint Louis Elsevier Science 2017 561 p ebook Front Cover -- The Application of Green Solvents in Separation Processes -- Copyright Page -- Contents -- List of Contributors -- I. Introduction -- 1 Initial Considerations -- 1.1 The Need to Use Solvents -- 1.2 Traditional Solvents -- 1.3 Green Solvents -- 1.4 Greener Extraction Techniques -- 1.5 Green Sampling and Sample Preparation -- 1.6 Solvents for Analytical Separations -- 1.7 Concluding Remarks -- Acknowledgments -- References -- II. Green Solvents -- 2 Water as the First Choice Green Solvent -- 2.1 Introduction -- 2.1.1 Why to Use Water as a Solvent? 2.1.2 Water-The Most Green Choice -- 2.2 Solvent Properties of Water -- 2.3 Separation Techniques Utilizing Water -- 2.3.1 Extraction at HTs -- 2.3.2 Liquid Chromatography at HTs -- 2.4 Recent Applications in Extraction -- 2.4.1 Biorefinery (Chemicals From Biomass) -- 2.4.2 Bioactive Compounds -- 2.4.3 Energy Technology -- 2.4.4 Amino Acids-Searching for Extraterrestrial Life -- 2.4.5 Essential Oils -- 2.4.6 Other Applications -- 2.5 Recent Applications Carried out by High-Temperature Chromatography -- 2.5.1 Pharmaceuticals -- 2.5.2 Cosmetics -- 2.5.3 Food -- 2.5.4 Other Applications 2.6 Conclusions and Future Trends -- References -- 3 A Systematic Approach to Green Solvent Selection, Design, and Verification -- 3.1 Introduction -- 3.2 Solvent Selection and Design -- 3.2.1 Problem Definition -- 3.2.1.1 Product Formulations -- 3.2.1.2 Cleaning and Washing -- 3.2.2 Computer-Aided Molecular Design Concept -- 3.2.3 CAMD Technique Applied to Solvent Selection-Design -- 3.2.3.1 Rule-Based Methods -- 3.2.3.2 Mathematical Programming Methods -- 3.2.3.3 Hybrid Methods -- 3.2.4 Separation Process Selection -- 3.2.5 Process Modeling -- 3.2.6 Property Modeling -- 3.3 Application 3.3.1 Vapor-Liquid Separation Using Organic Solvent -- 3.3.2 Vapor-Liquid Separation Using Ionic Liquids -- 3.3.3 Liquid-Liquid Separation -- 3.3.3.1 Problem Definition -- 3.3.3.2 Solution -- 3.3.3.3 Verification -- 3.3.4 Solid-Liquid Separation -- 3.3.4.1 Problem Definition -- 3.3.4.2 Solution -- 3.3.4.3 Verification -- 3.4 Conclusions -- References -- 4 Bio-Based Molecular Solvents -- 4.1 Introduction to Bio-Based Solvents and Solvent Extraction -- 4.1.1 Bio-Based Solvents -- 4.1.2 Solvent Extraction -- 4.2 Bio-Based Solvent Drivers -- 4.2.1 Regulatory Pressures 4.2.2 Environmental and Health Concerns -- 4.2.3 Economic Drivers -- 4.3 Selecting Solvents for Solvent Extraction Applications -- 4.3.1 Green Solvent Selection Guides -- 4.3.2 Solvents and Their Characteristics -- 4.4 Bio-Based Solvents -- 4.4.1 Renewable Versions of Conventional Solvents -- 4.4.1.1 Alcohols -- 4.4.1.2 Esters (Biodiesel, Ethyl Acetate) -- 4.4.2 Glycerol Derivatives -- 4.4.3 Terpenes -- 4.4.3.1 α-Pinene -- 4.4.3.2 p-Cymene -- 4.4.3.3 d-Limonene -- 4.4.4 Ethers -- 4.4.4.1 2-Methyltetrahydrofuran (2-MeTHF) -- 4.4.4.2 2,5-Dimethylfuran -- 4.4.5 Ethyl Lactate -- 4.5 Conclusions References EBL201706 Chemical Physics and Chemistry SzGeCERN BOOK Tobiszewski, Marek https://cds.cern.ch/auth.py?r=EBLIB_P_4815437 ebook n 201724 201706 21 PUBLIC https://catalogue.library.cern/legacy/2269603 BOOK MIGRATED 2269579 SzGeCERN 20210421211043.0 9780128053690 print version 9780128094037 electronic version 143.91 (NL),143.91 (UA),119.93 (3U),95.94 (1U) electronic version oai:cds.cern.ch:2269579 cerncds:BOOK EBL 4810040 eng QH499.M583 2017 610.28 Mitchell, Maika G Bioprinting techniques and risks for regenerative medicine San Diego, CA Elsevier Science 2017 155 p ebook Front Cover -- Bioprinting -- Copyright Page -- Dedication -- Contents -- 1 Biomanufacturing: The Definition and Evolution of a New Genre -- What Is 3D Printing? -- The History of 3D Printing -- Overview of Current Applications -- Commercial Uses -- Consumer Uses -- Examples of Technical Aspects of 3D Printing/Bioprinting -- MOD-t From New Matter (@NewMatter): Cost 399 USD -- Flashforge Dreamer: Cost 1299 USD -- iBox Nano: Cost 400-700 USD -- References -- Online Resources on Biomanufacturing -- 2 Reproducing Cells Is Nothing New-A Historical Prospective -- Use in Research 2D and 3D Cell Culture Applications Leading to Bioprinting -- Characteristics of 3D Cell Cultures Versus Traditional 2D Cell Cultures -- Growth Conditions, Cell Morphology, and Populations in 2D and 3D Cultures -- References -- 3 Bioprinting Versus 3D Printing -- 3D Printers (and Types) I Personally Own and Use -- Micro3D (Cost in June 2015: USD 250) -- Technical Specifications -- Software -- Human Heart File From Thingiverse -- iBox Nano (Cost in July 2015: USD 499) -- Slic3r File Converter Procedure for iBox Nano Printer -- Select the Platter Tab -- FlashForge Dreamer (Cost in December 2015 USD 1300) -- The Technique -- 3D Printing Process -- Micro 3D Heart 3D Print -- iBox Nano Heart 3D Print -- FlashForge Dreamer Heart 3D Print -- The 3D History of Bioprinting -- Just Like an Inkjet Printer, Sort Of -- Bioprinter Basic Parts -- Steps to Personalized Medicine -- Made-to-Order Human Organs -- Conventional Steps Proposed for 3D Bioprinting Human Organs -- Uses for 3D Organs -- Further Reading -- 4 Bioprinters in Use Today -- Inkjet-Based Bioprinting -- Laser-Assisted Bioprinting -- Organovo -- NovoGen MMX Bioprinter„¢ -- Microextrusion-Based Bioprinting -- BioBots -- References 5 Materials for Use in Bioprinting -- Bioink Materials -- 3D Printing Biodegradable Polymers -- Thermogels/Gel Formers -- How Does It Work? -- Thermpolymers for 3D Printing -- Medical Implants -- Scaffolds -- Biobots -- Poloxamer 407 -- Gelatin Type A 300 Bloom -- Gelatin Type A 300 Bloom + Poloxamer 407 -- 4D Printing -- References -- 6 CT Scans Function Like a CAD Design -- Get the Scan Data -- Get the Scan Data Into Osirix -- Clinical Image Data in 2D/3D View -- Export of DICOM Image Scan as 3D Printable Model -- 3D Printing/Bioprinting the Scanned Image -- Other Uses for DICOM Images MicroDicom Shell Extension -- Preparing for 3D Printing -- References -- 7 Additive Manufacturing and 3D Bioprinting for Pharmaceutical Testing -- Tissue Engineering -- 3D Scaffold Fabrication by Lithography and Printing Techniques -- A New 3D Printer Design for Tissues, Using a Microfluidic Chip -- References -- 8 Advances in Personalized Medicine: Bioprinted Tissues and Organs -- FDA Final Guidance on 3D Printing and Understanding the Specific Regulatory Challenges -- Overview -- File-Format Conversions -- Digital Device Design -- Build Volume Placement -- Build Paths Machine Parameters and Environmental Conditions EBL201706 Health Physics and Radiation Effects SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4810040 ebook n 201724 201706 21 PUBLIC https://catalogue.library.cern/legacy/2269579 BOOK MIGRATED 2269561 SzGeCERN 20171214170529.0 9783319439013 129 (NL),129 (1U) electronic version EBL 4769292 eng GE1-350 003.3 Furze, James N Mathematical advances towards sustainable environmental systems Cham Springer 2016 355 p Foreword: The Vocabulary of Nature -- Preface: From the Coordinating Editor -- Contents -- Contributors -- Chapter 1: Mathematical Advances Towards Sustainable Environmental Systems: Context and Perspectives -- 1.1 Introduction -- 1.2 Chapter Outlines -- References -- Chapter 2: Biological Modelling for Sustainable Ecosystems -- 2.1 Introduction -- 2.2 Biogeographic studies, Digital Elevation Models, Climatic data and Biological Records -- 2.3 Mathematic Detail of Algorithmic Structures -- 2.4 Genetic Dispersal/Stochastic Methods 2.5 Functional Approximation Algorithms/Using Continual and Discrete Data for Informative Expansion -- 2.6 Case Studies: Plant Strategies, Life Forms and Metabolism -- 2.7 Heuristic and Optimal Search Capability and Application to Biological, Chemical and Physical Data -- 2.8 Conclusions/Further Directions -- References -- Chapter 3: On the Dynamics of the Deployment of Renewable Energy Production Capacities -- 3.1 Introduction -- 3.2 Energy Return on Energy Investment -- 3.3 MODERN: A Discrete-Time Model of the Deployment of Renewable Energy Production Capacities -- 3.3.1 Time 3.3.2 Assumption Regarding the Energy Produced from Nonrenewable Sources -- 3.3.3 Energy from Renewable Origin -- 3.3.4 Dynamics of Deployment of Energy Production Means -- 3.3.5 Energy Costs for Growth and Long-Term Replacement -- 3.3.6 Total Energy and Net Energy to Society -- 3.3.7 Constraints on the Quantity of Energy Invested for Energy Production -- 3.3.8 Assumptions on Growth and Replacement Energy Costs -- 3.4 Simulation Results: Case Study for Photovoltaic Panels -- 3.4.1 Variable Initialization -- 3.4.2 Growth Scenario -- 3.4.3 Depletion of Nonrenewable Resources Scenario 3.4.4 Values of ERoEI and Lifetime -- 3.4.5 Typical Runs -- 3.5 On the Potential Benefits of Using Control Strategies -- 3.6 From Modelling to Society -- 3.7 Conclusions -- References -- Chapter 4: Water System Modelling -- 4.1 Introduction -- 4.2 Water Systems Modelling for Quantity and Quality -- 4.2.1 AGNPS -- 4.2.2 ANSWERS -- 4.2.3 CASC2D -- 4.2.4 MIKESHE -- 4.2.5 DWSM -- 4.2.6 KINEROS -- 4.2.7 HSPF -- 4.2.8 SWAT -- 4.2.9 PRMS -- 4.2.10 HEC-HMS -- 4.2.11 HEC-RAS -- 4.2.12 WEAP -- 4.3 Time and Space Scale -- 4.3.1 Time Scales in Modelling -- 4.3.1.1 Event-Based Models 4.3.1.2 Continuous Models -- 4.3.2 Space Scale in Modelling -- 4.3.3 Mathematical Bases for the Selected Models -- 4.4 Model Calibration and Verification -- 4.4.1 Root Mean Square Error (RMSE) -- 4.4.2 Coefficient of Determination R2 -- 4.4.3 Chi-square -- 4.4.4 Nash-Sutcliffe Coefficient -- 4.4.5 Index of Agreement d -- 4.4.6 Nash-Sutcliffe Efficiency with Logarithmic Values ln E -- 4.4.7 Modified Forms of E and d -- 4.4.8 Relative Efficiency Criteria Erel and drel -- 4.4.9 Measures of Efficiency -- 4.5 Discussion 4.6 Selecting a Model for Estimating Nutrient Yield and Transportation During Flash Floods and Wet Seasons Swing, Kelly Gupta, Anil K McClatchey, Richard H Reynolds, Darren M 9783319439006 print version oai:cds.cern.ch:2269561 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4769292 ebook ebook EBL201706 Computing and Computers SzGeCERN BOOK n 201724 201706 21 PUBLIC BOOK DELETED 2269535 SzGeCERN 20180612223803.0 9781317298427 193.75 (3U),155 (1U) electronic version EBL 4684182 eng GE145.G744 2017 519.287 Greenberg, Michael R Explaining risk analysis protecting health and the environment Milton Taylor and Francis 2016 339 p Earthscan risk in society Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of figures -- List of tables -- Preface -- Acknowldgements -- 1 Risk analysis: a start -- Part I Basics -- 2 Risk assessment -- 3 Risk management -- Part II Cases -- 4 Destroying chemical weapons -- 5 Environmental justice -- 6 Critical passenger rail infrastructure -- 7 Fresh water, land use, and global climate change -- 8 Biological terrorism -- Part III Supplements -- 9 Risk analysis and disaster science fiction -- 10 Risk analysis online and on paper 11 Externally imposed challenges for risk analysis -- Index 9781138125339 print version oai:cds.cern.ch:2269535 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4684182 ebook ebook EBL201706 Mathematical Physics and Mathematics SzGeCERN BOOK n 201724 201706 21 PUBLIC BOOK DELETED 2269493 SzGeCERN 20210421211054.0 9780081002834 electronic version 360 (NL),360 (UA),300 (3U),240 (1U) electronic version 9780081002858 print version oai:cds.cern.ch:2269493 cerncds:BOOK EBL 4603089 eng QC173.4.S94.C44 2016eb 530.41700000000003 Liu, Xiandong Friction dynamics principles and applications Kent Elsevier Science 2016 318 p ebook Front Cover -- FRICTION DYNAMICS -- Related title -- FRICTION DYNAMICS -- Copyright -- CONTENTS -- ABOUT THE AUTHORS -- PREFACE -- 1 - Introduction -- 1.1 DEFINITIONS OF FRICTION, DYNAMICS, AND FRICTION DYNAMICS -- 1.2 SIGNIFICANCES AND CHALLENGES OF STUDIES ON FRICTION DYNAMICS -- 1.3 ORGANIZATION OF THE BOOK -- REFERENCES -- 2 - Vibrations and Advanced Dynamics -- 2.1 INTRODUCTION -- 2.2 LINEAR VIBRATIONS UNDER DETERMINISTIC EXCITATIONS -- 2.2.1 Vibration of Linear Discrete and Continuous Systems -- 2.2.2 Vibration of Linear Discrete Systems: SDOF System -- 2.3 SDOF SYSTEM 2.4 LINEAR MDOF SYSTEM -- 2.4.1 Eigenvalues and Eigenvectors -- 2.4.2 Forced Vibration Solution of an MDOF System -- 2.5 VIBRATION OF CONTINUOUS SYSTEMS -- 2.5.1 Transverse Vibrations of String and Wave Equation -- 2.5.2 Longitudinal Vibration of Rods and Torsional Vibration of Shafts -- 2.5.3 Transverse Vibration of Beams -- 2.6 RANDOM VIBRATIONS -- 2.6.1 Probability Density Function and Autocorrelation Function -- 2.6.2 Response of an SDOF System to an Arbitrary Function Input -- 2.6.3 PSD Function -- 2.6.4 Joint Probability Density Function and Cross-Correlation Function 2.6.5 Response of an SDOF System to a Random Input -- 2.7 NONLINEAR VIBRATION SYSTEMS -- 2.7.1 Perturbation Method-Duffing Equation -- 2.7.2 Amplitude-Frequency Dependent and Jump Phenomenon -- 2.7.3 van der Pol's Equation -- 2.7.4 Method of Variation of Parameter -- 2.7.5 Phase Plot, Limit Cycles, Self-Excited Oscillations and Chaos -- 2.7.6 Stability of Equilibrium -- 2.7.7 Parametrically Excited Systems and the Mathieu Equation -- 2.7.8 Transient and Nonstationary Vibrations -- 2.7.9 MDOF Systems -- 2.8 ADVANCED DYNAMICS -- 2.8.1 Rigid Body Kinematics 2.8.1.1 Position Vector, Velocity, and Acceleration -- 2.8.1.2 Angular Velocity of a Rigid Body -- 2.8.1.3 Moving Coordinate Systems -- 2.8.1.4 Coordinate Transformation -- 2.8.1.5 First Set of Euler Angles-Precession-Nutation-Spin (ϕθψ) -- 2.8.1.6 Second Set of Euler Angles-Yaw-Pitch-Row (ψθϕ) -- 2.8.1.7 Angular Velocity Related to Euler Angles -- 2.8.1.8 A Finite Motion -- Rotation About the Z-axis With Ï• -- Rotation About the Y-axis With θ -- Rotation About the X-axis With ψ -- 2.8.2 Linear and Angular Momentums -- 2.8.2.1 Pure Rotation About Fixed Point O -- 2.8.2.2 General Motion 2.8.3 Dynamics of a Rigid Body and Euler Equations -- 2.8.4 Lagrange Equations -- REFERENCES -- 3 - Friction -- 3.1 INTRODUCTION -- 3.2 CONTACT BETWEEN TWO SOLID SURFACES -- 3.2.1 Description of Surfaces -- 3.2.2 Contact Mechanics of Two Solid Surfaces -- 3.3 FRICTION BETWEEN TWO SOLID SURFACES -- 3.3.1 Adhesion -- 3.3.1.1 Solid-Solid Adhesion -- 3.3.1.2 Liquid-Mediated Adhesion -- 3.3.2 Dry Friction -- 3.3.2.1 Friction Mechanisms -- 3.3.2.2 Friction Transitions and Wear -- 3.3.2.3 Static Friction, Hysteresis, Time and Displacement Dependence 3.3.2.4 Effects of Environmental and Operational Conditions on Friction EBL201706 General Theoretical Physics SzGeCERN BOOK Chen, Gang Sheng https://cds.cern.ch/auth.py?r=EBLIB_P_4603089 ebook n 201724 201706 21 PUBLIC https://catalogue.library.cern/legacy/2269493 BOOK MIGRATED 2269454 SzGeCERN 20210421211100.0 9788793102903 print version 9788793102910 electronic version 110 (NL),165 (UA),137.5 (3U),110 (1U) electronic version oai:cds.cern.ch:2269454 cerncds:BOOK EBL 4509473 eng QA76.5915.M343 2015eb 4.6779999999999999 Mahalle, Parikshit N Identity management for Internet of Things Aalborg River Publishers 2015 185 p ebook River Publishers series in communications Cover -- Half Title -- Title -- Copyright -- Contents -- Preface -- Acknowledgements -- List of Figures -- List of Tables -- List of Acronyms -- 1. Internet of Things Overview -- 1.1 Overview -- 1.1.1 Internet of Things: Vision -- 1.1.2 Emerging Trends -- 1.1.3 Economic Significance -- 1.2 Technical Building Blocks -- 1.2.1 Internet of Things Layered Architecture -- 1.2.2 RFID and Internet of Things -- 1.2.2.1 EPCIS -- 1.2.2.2 ONS -- 1.2.3 IP for Things -- 1.3 Issues and Challenges -- 1.3.1 Design Issues -- 1.3.2 Technological Challenges -- 1.3.3 Security Challenges -- 1.4 Applications 1.4.1 Manufacturing, Logistic and Relay -- 1.4.2 Energy and Utilities -- 1.4.3 Intelligent Transport -- 1.4.4 Environmental Monitoring -- 1.4.5 Home Management -- 1.4.6 eHealth -- 1.5 Conclusions -- References -- 2. Elements of Internet of Things Security -- 2.1 Introduction -- 2.1.1 Vulnerabilities of IoT -- 2.1.2 Security Requirements -- 2.1.3 Challenges for Secure Internet of Things -- 2.2 Threat Modeling -- 2.2.1 Threat Analysis -- 2.2.2 Use Cases and Misuse Cases -- 2.2.3 Activity Modeling and Threats -- 2.2.4 IoT Security Tomography -- 2.3 Key Elements -- 2.3.1 Identity Establishment 2.3.2 Access Control -- 2.3.3 Data and Message Security -- 2.3.4 Non-repudiation and Availability -- 2.3.5 Security Model for IoT -- 2.4 Conclusions -- Referneces -- 3. Identity Management Models -- 3.1 Introduction -- 3.1.1 Identity Management -- 3.1.1.1 Identifiers in IoT -- 3.1.1.2 Identification and identifier format -- 3.1.2 Identity Portrayal -- 3.1.3 RelatedWorks -- 3.2 Different Identity Management Models -- 3.2.1 Local Identity -- 3.2.2 Network Identity -- 3.2.3 Federated Identity -- 3.2.4 GlobalWeb Identity -- 3.3 Identity Management in Internet of Things 3.3.1 User-centric Identity Management -- 3.3.2 Device-centric Identity Management -- 3.3.3 Hybrid Identity Management -- 3.4 Conclusions -- References -- 4. Identity Management and Trust -- 4.1 Introduction -- 4.1.1 Motivation -- 4.1.2 Trust Management Life Cycle -- 4.1.3 State of the Art -- 4.2 Identity and Trust -- 4.2.1 Third Party Approach -- 4.2.2 Public Key Infrastructure -- 4.2.3 Attribute Certificates -- 4.2.3.1 Binding information -- 4.2.3.2 Attribute information -- 4.3 Web of Trust Models -- 4.3.1 Web Services Security -- 4.3.1.1 WS-Security -- 4.3.1.2 WS-Security SOAP header 4.3.1.3 WS-Security authentication mechanisms -- 4.3.2 SAML Approach -- 4.3.3 Fuzzy Approach for Trust -- 4.4 Conclusions -- References -- 5. Identity Establishment -- 5.1 Introduction -- 5.1.1 Mutual Identity Establishment in IoT -- 5.1.2 IoT Use Case and Attacks Scenario -- 5.1.3 State of the Art -- 5.2 Cryptosystem -- 5.2.1 Private Key Cryptography -- 5.2.2 Public Key Cryptography -- 5.3 Mutual Identity Establishment Phases -- 5.3.1 Secret Key Generation -- 5.3.2 OneWay Authentication -- 5.3.3 Mutual Authentication -- 5.4 Comparative Discussion -- 5.4.1 Security Protocol Verification Tools 5.4.2 Security Analysis EBL201706 Other Subjects SzGeCERN BOOK Railkar, Poonam N https://cds.cern.ch/auth.py?r=EBLIB_P_4509473 ebook n 201724 201706 21 PUBLIC https://catalogue.library.cern/legacy/2269454 BOOK MIGRATED 2269437 SzGeCERN 20210421211102.0 9780128042496 9780128043202 0128043202 oai:cds.cern.ch:2269437 cerncds:BOOK SAFARI 9780128043202 eng HD9685.A2 621.3 Sioshansi, Fereidoon P Future of utilities utilities of the future : how technological innovations in distributed energy resources will reshape the electric power sector San Diego, CA Elsevier Science 2016 494 p ebook Cover -- Title Page -- Copyright Page -- Dedication -- Contents -- Author Biographies -- Foreword -- Preface -- Introduction -- 1 - Part I. What is changing, what are the implications? -- 2 - Part II. Competition, innovation, regulation, and pricing -- 3 - Part III. Utilities of the future: future of utilities -- Part I - What is Changing, What are the Implications -- Chapter 1 - What is the Future of the Electric Power Sector? -- 1 - Introduction -- 2 - Double whammy: falling demand, rising tariffs -- 3 - Rise of distributed energy resources: new roles, new rules -- 4 - What is the future? 5 - Conclusions -- References -- Chapter 2 - Value of an Integrated Grid -- 1 - Introduction -- 2 - The benefits of grid connectivity to consumers -- 3 - The added value of integration -- 3.1 - Grid Support -- 3.2 - Optimizing Distribution Operations -- 3.2.1 - Microgrids -- 3.2.2 - Distributed Storage -- 3.3 - Providing Ancillary Services -- 3.4 - Enabling Demand Response -- 3.5 - Deferring Capacity Upgrades and Reducing System Losses -- 4 - Enabling connectivity -- 5 - Enabling higher penetration of DER -- 5.1 - Higher Penetration Enhances Resiliency 5.2 - Higher Penetration Can Increase Environmental Benefits -- 6 - The future of distribution utilities -- 6.1 - The REV Market Framework -- 6.2 - Utilities as DSPs -- 6.3 - The Integrated Grid Extends the Grid's Boundaries -- 7 - Overall attributes and value of an Integrated Grid -- 7.1 - Example of Avoided Costs -- 7.2 - Impacts on Average Residential Consumers -- 7.3 - EPRI's Integrated Grid Study -- 8 - Conclusions -- References -- Chapter 3 - Microgrids: Finally Finding their Place -- 1 - Introduction -- 2 - Evolution of microgrids -- 3 - Power quality and reliability 3.1 - Resilience and Reliability -- 3.2 - PQR Pyramid -- 3.3 - Megagrid Treadmill -- 4 - What is a microgrid? -- 5 - Microgrid examples -- 6 - The emergence of microgrids calls for new thinking on regulation and policy -- 7 - Conclusions -- Glossary -- Acknowledgments -- References -- Chapter 4 - Customer-Centric View of Electricity Service -- 1 - Introduction -- 2 - The traditional model -- 3 - The promise of a new world -- 3.1 - Low Cost Electricity from Everywhere -- 3.2 - The Grid as a Balancing Resource -- 3.3 - Reliability and Resilience -- 4 - Putting it all together 4.1 - The Monopoly Goes Away… -- 4.2 - The Role of Automation Increases -- 4.3 - Financial Ways of Thinking about Grid Services -- 5 - Pricing it all: how does this all play out? -- 5.1 - Real-Time Pricing -- 5.2 - Rearrange the Bill -- 5.3 - Scheduled Load -- 6 - Conclusions -- Bibliography -- Chapter 5 - The Innovation Platform Enables the Internet of Things -- 1 - Introduction -- 2 - Accelerating change, disintermediation, and disruption -- 3 - The innovation platform -- 4 - New business models: telecom and electric utility transformation -- 4.1 - Telecom Evolution 4.2 - Electricity Evolution SAF201708 EBLlink deleted Engineering SzGeCERN BOOK https://learning.oreilly.com/library/view/-/9780128043202/?ar ebook n 201723 201706 21 PUBLIC https://catalogue.library.cern/legacy/2269437 BOOK MIGRATED 2269431 SzGeCERN 20180515232347.0 9780128031933 216 (NL),216 (UA),180 (3U),144 (1U) electronic version EBL 4442086 eng GC10.4 004.6782 Vance, Tiffany C Cloud computing in ocean and atmospheric sciences San Diego, CA Elsevier Science 2016 456 p Front Cover -- CLOUDCOMPUTING INOCEAN ANDATMOSPHERICSCIENCES -- CLOUD COMPUTING IN OCEAN AND ATMOSPHERIC SCIENCES -- Copyright -- Dedication -- CONTENTS -- LIST OF CONTRIBUTORS -- AUTHOR BIOGRAPHIES -- FOREWORD -- ACKNOWLEDGMENTS -- INTRODUCTION -- 1 - A Primer on Cloud Computing -- THE CHARACTERISTICS OF CLOUD COMPUTING -- SERVICE MODELS FOR CLOUD COMPUTING -- TYPES OF CLOUDS -- SCIENCE IN THE CLOUD -- ACKNOWLEDGMENTS -- REFERENCES -- 2 - Analysis Patterns for Cloud-Centric Atmospheric and Ocean Research -- INTRODUCTION -- WHAT IS E-SCIENCE? -- E-SCIENCE AND CLOUD COMPUTING PATTERN LANGUAGE AND ANALYSIS PATTERNS -- E-SCIENCE ANALYSIS PATTERNS FOR THE CLOUD -- CONCLUSION -- REFERENCES -- 3 - Forces and Patterns in the Scientific Cloud: Recent History and Beyond -- 2005 TO 2015: A PERIOD OF FIT AND RETROFIT -- FORCES AND CHALLENGES IN SCIENTIFIC CLOUD ADOPTION -- LOOKING BEYOND FIT AND RETROFIT -- COLLABORATION AND VISUALIZATION AS UNDERSERVED CHALLENGES -- CONCLUSION -- REFERENCES -- 4 - Data-Driven Atmospheric Sciences Using Cloud-Based Cyberinfrastructure: Plans, Opportunities, and Challenges for a Real-Time Weather Data Facility -- SCIENCE -- EDUCATION -- DATA CAMPUS INFORMATION TECHNOLOGY INFRASTRUCTURE -- VISION FOR THE FUTURE: MOVING UNIDATA'S SERVICES AND SOFTWARE TO "THE CLOUD" -- CATEGORIES OF SERVICES -- COMMUNITY COLLABORATION -- MANAGING CHANGE FOR OUR COMMUNITY -- CURRENT UNIDATA CLOUD-RELATED ACTIVITIES -- The Use of Docker Container Technology at Unidata -- Product Generation for Ingesting into Internet Data Distribution and Additional Experimentation -- Deployment of AWIPS II in the Cloud Software -- INTEGRATED DATA VIEWER APPLICATION-STREAMING CLOUD SERVERS -- COMMUNITY ENGAGEMENT, EDUCATION, AND LEADERSHIP -- CLOSING REMARKS ACKNOWLEDGMENT -- REFERENCES -- 5 - Supporting Marine Sciences With Cloud Services: Technical Feasibility and Challenges -- INTRODUCTION -- BRIDGING TECHNICAL GAPS BETWEEN SCIENTIFIC COMMUNITIES -- Data and Processing Sharing -- Massive Processing on the Cloud -- CLIMATE MODEL OUTPUT PROCESSING -- CMIP5: A Heterogeneous Dataset -- Data Slicing Along the Time Dimension -- SCALABLE DATA PROCESSING: NUTS AND BOLTS -- Data Staging: Some Optimization Challenges -- BUILDING A SHARABLE DATA-PROCESSING CHAIN -- CONCLUSION -- ACKNOWLEDGMENT -- REFERENCES -- ANNEXES List of Models Providing "TOS" Variable, for Ocean Sea Surface Temperature Projections Analysis -- List of Cited Projects and Technologies -- 6 - How We Used Cloud Services to Develop a 4D Browser Visualization of Environmental Data at the Met Office Informatics Lab -- INTRODUCTION -- THE GENERIC LAB APPROACH -- Our Approach to People -- Our Approach to Data and Source Code -- Our Approach to (Physical and Virtual) Workspace -- Our Approach to IT Infrastructure -- THE PROJECT: INTERACTIVE 4D BROWSER VISUALIZATION OF HIGH-RESOLUTION NUMERICAL WEATHER PREDICTION DATA -- The Concept Implementation Merati, Nazila Yang, Chaowei Yuan, May 9780128031926 print version oai:cds.cern.ch:2269431 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4442086 ebook ebook EBL201706 Computing and Computers SzGeCERN BOOK n 201723 201706 21 PUBLIC BOOK DELETED 2269400 SzGeCERN 20210421211104.0 9783662480403 print version 9783662480410 electronic version 129 (NL),129 (1U) electronic version oai:cds.cern.ch:2269400 cerncds:BOOK EBL 4178924 eng TA1-2040 530.44 Xiao, Dengming Gas discharge and gas insulation Berlin Springer 2015 367 p ebook Energy and environment research in China 6 Preface -- Contents -- Chapter 1: Introduction -- 1.1 Definition and Content of Gas Discharge -- 1.2 History of Electrical Discharge Research -- 1.3 Classification of the Discharge -- 1.4 Application of the Discharge -- 1.5 Definition and Content of Gas Insulation -- 1.6 History and Application of Sulfur Hexafluoride -- 1.7 Situation and Development of Environmentally Friendly Insulating Gas -- References -- Chapter 2: Fundamentals of Gas Discharge -- 2.1 Charged Particles in the Process of Gas Discharge -- 2.1.1 Photons -- 2.1.2 Electrons 2.1.3 Ground State Atoms (or Molecules) and Excited Atoms (or Molecules) -- 2.1.4 Positive and Negative Ions -- 2.2 Movement of Charged Particles -- 2.2.1 Thermal Motion of Charged Particles -- 2.2.2 Diffusion Motion of Charged Particles -- 2.2.3 Drift Motion of Charged Particles -- 2.3 Collision Interactions of Charged Particles -- 2.3.1 Classification of Collision Between Particles -- 2.3.2 Collision Energy Transfer -- 2.3.2.1 Energy Transfer in Elastic Collision -- 2.3.2.2 Energy Transfer in Inelastic Collision -- 2.3.3 Collision Characteristic Parameters -- 2.3.3.1 Collision Cross Section 2.3.3.2 Probability of Collision and Collision Frequency -- 2.3.4 Elastic Collisions of Electrons, Ions and Atoms -- 2.3.5 Excitation and Ionization of Gas Atoms -- 2.3.6 Gas Particle Excitation Transferring -- 2.3.7 Disappearance of Charged Particles -- 2.3.7.1 Charged Particles´ Recombination -- 2.3.7.2 Charged Particles´ Diffusion -- 2.3.7.3 Charge Transferring of Charged Particles -- 2.3.7.4 Anion Formation and Attachment Process -- References -- Chapter 3: Fundamental Theory of Townsend Discharge -- 3.1 Formation and Development of Electronic Avalanche 3.1.1 Formation of Electronic Avalanche -- 3.1.2 α Process -- 3.1.3 gamma Process -- 3.2 Self-Sustaining Discharge Criterion -- 3.2.1 Gas Discharge Volt-Ampere Characteristics -- 3.2.2 From Non-Self-Sustaining to Self-Sustaining Discharge -- 3.2.3 The Condition of Self-Sustained Discharge -- 3.3 Paschen´s Law -- 3.3.1 Paschen´s Law -- 3.3.2 The Impact of Impurity Gases on the Breakdown Potential -- 3.3.3 The Impact of Electrodes on Breakdown Voltage -- 3.3.4 The Impact of Electric Field Distribution on Breakdown Voltage -- 3.3.5 The Impact of External Ionization Source on Breakdown Potential 3.4 Townsend Discharge Experiments -- 3.4.1 The Steady-State Townsend Experiment (SST) -- 3.4.1.1 SST Experimental Principles and Measuring Circuit [3] -- 3.4.1.2 The Establishment of SST Mathematical Model and Solving Method of Discharging Parameters -- 3.4.1.3 SST Experimental Apparatus -- 3.4.2 Pulse Townsend Method (PT) -- 3.4.2.1 Principle Law and Basic Circuit of PT Method -- 3.4.2.2 The Establishment of PT Mathematical Model [3, 4] -- 3.4.2.3 The Calculation of Initial Electrons Distribution -- 3.4.2.4 Solution Method of Electrons Avalanche Parameters 3.4.2.5 Experimental Apparatus of PT Method [3] EBL201706 General Theoretical Physics SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4178924 ebook n 201723 201706 21 PUBLIC https://catalogue.library.cern/legacy/2269400 BOOK MIGRATED 2269390 SzGeCERN 20210202231108.0 9783319239248 print version 9783319239262 electronic version 129 (NL),129 (1U) electronic version oai:cds.cern.ch:2269390 cerncds:BOOK EBL 4091116 eng HF4999.2-6182 005.3 Nöhren, Marko Enterprise software sourcing performance the impact logic of on-demand, on-premises, and in-house software on dynamic fit and process-level performance outcomes in client organizations Cham Springer 2015 240 p Acknowledgments -- List of Abbreviations -- Contents -- List of Figures -- List of Tables -- Chapter 1: Introduction -- 1.1 Problem Statement -- 1.2 Research Objectives -- 1.3 Research Design -- 1.4 Study Organization -- Chapter 2: Theoretical and Conceptual Foundation -- 2.1 Definition of Core Concepts -- 2.1.1 Representational View of Information Technology -- 2.1.2 Software Sourcing Modes -- 2.1.3 Information Technology Alignment -- 2.2 Literature Review -- 2.2.1 Theoretical Lenses in Software and Sourcing Research -- 2.2.1.1 Organizational Structure Theories 2.2.1.2 Organizational Resource Theories -- 2.2.1.3 Organizational Governance Theories -- 2.2.2 The Value of Information Technology -- 2.2.2.1 The Soh-Markus-Model on IT Investments -- 2.2.2.2 The Dehning-Richardson-Model on IT Investments -- 2.2.2.3 The DeLone-McLean-Model on IT Systems -- 2.2.2.4 The Melville-Kraemer-Gurbaxani-Model on IT Resources -- 2.2.2.5 Summary and Synthesis of Information Technology Value Models -- 2.2.3 Previous Contribution on Software and Sourcing Performance -- 2.2.3.1 Studies on Process-Centric Software Performance -- 2.2.3.2 Studies on Software Sourcing Performance 2.2.3.3 Studies on IT Outsourcing Performance -- 2.2.3.4 Summary and Definition of Performance Outcome Concepts -- 2.2.4 Previous Contribution on Software Alignment -- 2.2.4.1 The Sia-Soh-Notion of Software-Organization Fit -- 2.2.4.2 The Strong-Volkoff-Notion of Software-Organization Fit -- 2.2.4.3 The Nöhren-Heinzl-Kude-Notion of Dynamic Software-Business Process Fit -- 2.2.4.4 Summary and Development of Software-Business Process Fit Measure -- 2.2.5 The Dynamic Alignment Process -- 2.2.5.1 Software Structure Change -- 2.2.5.2 Business Process Structure Change -- 2.2.5.3 Environmental Change 2.2.5.4 Contextual Factors Related to Software and Business Process Structure Flexibility -- 2.2.5.5 Summary -- 2.3 Summary -- Chapter 3: Preliminary Research Model -- 3.1 Logical Structures of Research Models -- 3.2 Transforming the Dynamic Alignment Process into Alignment Clusters -- 3.2.1 Specification of Concepts Related to the Dynamic Alignment Process -- 3.2.2 Definition of Alignment Clusters and Gestalts -- 3.2.2.1 Pioneer Innovator Gestalt and Technology Push Non-gestalt -- 3.2.2.2 Cautious Innovator Gestalt and Business Pull Non-gestalt 3.2.2.3 Ambidextrous Innovator Gestalt and Push-Pull Non-gestalt -- 3.2.2.4 Conservative Gestalt and No Innovation Non-gestalt -- 3.2.3 Summary -- 3.3 Development of a Preliminary Research Model -- 3.3.1 The Relationship Between Alignment Gestalts and Dynamic Fit -- 3.3.2 The Impact of Dynamic Fit -- 3.3.3 The Impact of Software Sourcing -- 3.3.4 Summary -- 3.4 Summary -- Chapter 4: Research Design -- 4.1 Philosophical Stance of Study -- 4.2 Conceptualization of Fit -- 4.3 Data Collection and Data Analysis -- 4.3.1 Sampling Procedure -- 4.3.2 Collection and Interpretation of Qualitative Data 4.3.2.1 Coding of Software Sourcing https://cds.cern.ch/auth.py?r=EBLIB_P_4091116 ebook ebook Progress in IS 0 EBL201706 Computing and Computers SzGeCERN BOOK n 201723 201706 21 PUBLIC BOOK DELETED 2269318 SzGeCERN 20180822202547.0 9783658088279 79.99 (NL),79.99 (1U) electronic version EBL 1973743 eng HF4999.2-6182 621.38 Hahn, Tobias Cross-industry innovation processes strategic implications for telecommunication companies Wiesbaden Springer 2015 195 p PREFACE -- ABBREVIATIONS -- LIST OF FIGURES -- TABLE OF CONTENTS -- 1 Introduction -- 1.1 Motivation and Practical Relevance -- 1.2 Existing Research -- 1.3 Objective and Boundaries -- 1.4 Research Approach -- 2 Theoretical Background -- 2.1 Product - Service and Physical Good -- 2.2 From Invention to Innovation -- 2.3 Innovation Processes and Open Innovation Approaches -- 2.3.1 Generations of Innovation Process Models -- 2.3.2 Phases, Differentiation and Practical Integration -- 2.4 Cross-Industry Innovation -- 2.4.1 The ICT Industry and its R&D Characteristics 2.4.2 Collaboration in Innovation Projects -- 3 Methodology -- 3.1 General Considerations -- 3.2 Selection of Cases -- 3.3 Data Collection Method -- 3.4 Design of Guideline -- 3.5 Realization of Data Collection -- 3.6 Data Analysis -- 4 Within-Case Analysis -- 4.1 Telco-Energy-Industry Service Innovation Project -- 4.2 Telco-Automotive-Industry Service Innovation Project -- 4.3 Telco-Health-Industry Service Innovation Project -- 5 Cross-Case Analysis -- 5.1 Market and Industry Specifics and Commonalities -- 5.2 Innovation Project Characteristics -- 5.2.1 Structure and Management 5.2.2 Process Phases -- 5.3 Cross-Industry Collaboration -- 5.4 Organizational Environment -- 5.4.1 Traditional Resource Allocation -- 5.4.2 Organizational and Procedural Changes took place -- 5.4.3 Environmental Rigidity -- 5.4.4 General Conditions -- 6 Analysis and Discussion of Findings with Existing Literature -- 6.1 Market and Industry -- 6.1.1 Innovation Speed and Approach -- 6.1.2 Commercialization and Customer Acceptance -- 6.2 Innovation Project -- 6.2.1 Pilot Customer and/or Innovation Partner -- 6.2.2 Innovation Project Phases and Activities -- 6.2.3 Project Management 6.3 Cross-Industry Collaboration -- 6.3.1 Partner Selection -- 6.3.2 Contractual Structures and Trust -- 6.3.3 Methods and Tools to Improve Collaboration -- 6.4 Organizational Environment -- 6.4.1 Processes and Structure -- 6.4.2 Incentive and Support Systems -- 7 Practical Strategic Implications -- 7.1 Conduction of Cross-Industry Service Innovation Projects -- 7.1.1 Practical Process Model for Telecommunication Companies -- 7.1.2 Parallel and On-going Activities -- 7.1.3 Overarching Project Structure and Management -- 7.2 Organizational Preconditions and Requirements 7.2.1 Located within the Company's Structure -- 7.2.2 Companies processes -- 7.3 Collaboration Fit -- 7.3.1 Mindset and Organizational Conditions -- 7.3.2 Common Preconditions and Project Structure -- 7.3.3 Harmonization and Intensity of Collaboration -- 7.4 Portfolio Expansion -- 7.4.1 Transfer and Anchor of Innovation -- 7.4.2 Self-Concept, Strategy and New Services -- 7.5 Overall Considerations in Practical Realization -- 7.5.1 Impact and Interdependency within the Telco Organization -- 7.5.2 Transferability - Deliberations for Potential Partners 8 Impact on Existing Theoretical Innovation Process Models Based on multiple case study analysis, focusing on scalable service innovation, the present study provides a practical process model that shall serve telecommunication companies as a guideline while conducting strategic cross-industry innovation projects. The findings also pay attention to characteristics in cross-industry collaboration, organizational preconditions and strategic deliberations and postulate propositions for present theoretical innovation process models. 9783658088262 print version oai:cds.cern.ch:2269318 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1973743 ebook ebook EBL Business -- Research EBL Industries -- Technological innovations -- Economic aspects EBL Technological innovations EBL Telecommunication equipment industry EBL Telecommunication systems EBL201706 Engineering SzGeCERN BOOK n 201723 201706 21 PUBLIC BOOK DELETED 2269296 SzGeCERN 20180515232347.0 9781134485895 222 (NL),185 (3U),148 (1U) electronic version EBL 1829288 eng JA75.8 -- .T38 2015eb 515.7 Taylor, Marcus The political ecology of climate change adaptation livelihoods, agrarian change and the conflicts of development London Taylor and Francis 2014 225 p Routledge explorations in development studies Cover -- Title -- Copyright -- Contents -- Figures and tables -- Acknowledgements -- Preface: The critique of climate change adaptation -- 1 Climate change and the frontiers of political ecology -- 2 Socialising climate -- 3 Making a world of adaptation -- 4 Power, inequality and relational vulnerability -- 5 Climate, capital and agrarian transformations -- 6 Pakistan - historicising 'adaptation' in the Indus watershed -- 7 India - water, debt and distress in the Deccan plateau -- 8 Mongolia - pastoralists, resilience and the empowerment of climate 9 Conclusion: adapting to a world of adaptation -- Index This book provides the first systematic critique of the concept of climate change adaptation within the field of international development. Drawing on a reworked political ecology framework, it argues that climate is not something 'out there' that we adapt to. Instead, it is part of the social and biophysical forces through which our lived environments are actively yet unevenly produced. From this original foundation, the book challenges us to rethink the concepts of climate change, vulnerability, resilience and adaptive capacity in transformed ways. With case studies drawn from Pakistan, Indi 9780415703819 print version oai:cds.cern.ch:2269296 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1829288 ebook ebook EBL Climatic changes -- Environmental aspects -- India EBL Climatic changes -- Environmental aspects -- Pakistan EBL Climatic changes -- Environmental aspects EBL Political ecology -- India EBL Political ecology -- Mongolia EBL Political ecology -- Pakistan EBL201706 Mathematical Physics and Mathematics SzGeCERN BOOK n 201723 201706 21 PUBLIC BOOK DELETED 2269285 SzGeCERN 20180822202547.0 9781780172668 59.99 (UA),39.99 (1U) electronic version EBL 1765545 eng HD30.2 -- .S888 2014eb 005.8 Sutton, David Information risk management a practitioner's guide Swindon BCS Learning & Development 2014 245 p Cover -- Copyright -- CONTENTS -- LIST OF FIGURES AND TABLES -- AUTHOR -- ACKNOWLEDGMENTS -- ABBREVIATIONS -- DEFINITIONS, STANDARDS AND GLOSSARY OF TERMS -- PREFACE -- 1 THE NEED FOR INFORMATION RISK MANAGEMENT -- INTRODUCTION -- WHAT IS INFORMATION? -- THE INFORMATION LIFE CYCLE -- WHO SHOULD USE INFORMATION RISK MANAGEMENT? -- THE LEGAL FRAMEWORK -- THE CONTEXT OF RISK IN THE ORGANISATION -- THE BENEFITS OF TAKING ACCOUNT OF INFORMATION RISK -- OVERVIEW OF THE INFORMATION RISK MANAGEMENT PROCESS -- 2 REVIEW OF INFORMATION SECURITY FUNDAMENTALS -- INFORMATION CLASSIFICATION PLAN, DO, CHECK, ACT -- 3 THE INFORMATION RISK MANAGEMENT PROGRAMME -- GOALS, SCOPE AND OBJECTIVES -- ROLES AND RESPONSIBILITIES -- GOVERNANCE OF THE RISK MANAGEMENT PROGRAMME -- INFORMATION RISK MANAGEMENT CRITERIA -- 4 RISK IDENTIFICATION -- THE APPROACH TO RISK IDENTIFICATION -- IMPACT ASSESSMENT -- TYPES OF IMPACT -- QUALITATIVE AND QUANTITATIVE ASSESSMENTS -- 5 THREAT AND VULNERABILITY ASSESSMENT -- CONDUCTING THREAT ASSESSMENTS -- CONDUCTING VULNERABILITY ASSESSMENTS -- IDENTIFICATION OF EXISTING CONTROLS -- 6 RISK ANALYSIS AND RISK EVALUATION -- ASSESSMENT OF LIKELIHOOD -- RISK ANALYSIS RISK EVALUATION -- 7 RISK TREATMENT -- STRATEGIC RISK OPTIONS -- TACTICAL RISK MANAGEMENT CONTROLS -- OPERATIONAL RISK MANAGEMENT CONTROLS -- EXAMPLES OF CRITICAL CONTROLS AND CONTROL CATEGORIES -- 8 RISK REPORTING AND PRESENTATION -- BUSINESS CASES -- RISK TREATMENT DECISION-MAKING -- RISK TREATMENT PLANNING AND IMPLEMENTATION -- BUSINESS CONTINUITY AND DISASTER RECOVERY -- 9 COMMUNICATION, CONSULTATION, MONITORING AND REVIEW -- COMMUNICATION -- CONSULTATION -- RISK REVIEWS AND MONITORING -- 10 THE CESG IA CERTIFICATION SCHEME -- THE CESG IA CERTIFICATION SCHEME SKILLS FRAMEWORK FOR THE INFORMATION AGE (SFIA) -- THE IISP INFORMATION SECURITY SKILLS FRAMEWORK -- 11 HMG SECURITY-RELATED DOCUMENTS -- HMG SECURITY POLICY FRAMEWORK -- UK GOVERNMENT SECURITY CLASSIFICATIONS -- APPENDIX A TAXONOMIES AND DESCRIPTIONS -- INFORMATION RISK -- TYPICAL IMPACTS OR CONSEQUENCES -- APPENDIX B TYPICAL THREATS AND HAZARDS -- MALICIOUS INTRUSION (HACKING) -- ENVIRONMENTAL THREATS -- ERRORS AND FAILURES -- SOCIAL ENGINEERING -- MISUSE AND ABUSE -- PHYSICAL THREATS -- MALWARE -- APPENDIX C TYPICAL VULNERABILITIES -- ACCESS CONTROL -- POOR PROCEDURES PHYSICAL AND ENVIRONMENTAL SECURITY -- COMMUNICATIONS AND OPERATIONS MANAGEMENT -- PEOPLE-RELATED SECURITY FAILURES -- APPENDIX D INFORMATION RISK CONTROLS -- STRATEGIC CONTROLS -- TACTICAL CONTROLS -- OPERATIONAL CONTROLS -- CRITICAL SECURITY CONTROLS VERSION 5.0 -- ISO/IEC 27001 CONTROLS -- NIST SPECIAL PUBLICATION 800-53 REVISION 4 -- APPENDIX E METHODOLOGIES, GUIDELINES AND TOOLS -- METHODOLOGIES -- OTHER GUIDELINES AND TOOLS -- APPENDIX F TEMPLATES -- APPENDIX G HMG CYBER SECURITY GUIDELINES -- HMG CYBER ESSENTIALS SCHEME -- 10 STEPS TO CYBER SECURITY APPENDIX H REFERENCES AND FURTHER READING Information risk management (IRM) is about identifying, assessing and prioritising risks to keep information secure and available. This accessible book provides practical guidance to the principles and development of a strategic approach to an IRM programme. The only textbook for the BCS Practitioner Certificate in Information Risk Management. 9781780172651 print version oai:cds.cern.ch:2269285 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1765545 ebook ebook EBL201706 Computing and Computers SzGeCERN BOOK n 201723 201706 21 PUBLIC BOOK DELETED 2269271 SzGeCERN 20190517215845.0 9780810891470 101.25 (3U),81 (1U) electronic version EBL 1676306 eng Z711.92.H3 -- .V563 2014eb 025 Vincent, Jane Making the library accessible for all a practical guide for librarians Lanham Rowman & Littlefield 2014 163 p Practical guides for librarians 5 Contents -- Preface -- Acknowledgments -- Introduction -- List of Acronyms and Abbreviations -- Chapter 1: What Is Accessibility? -- Chapter 2: Communication Accessibility -- Chapter 3: Materials Accessibility -- Chapter 4: Architectural and Environmental Accessibility -- Chapter 5: Training and Event Accessibility -- Chapter 6: Technology Accessibility -- Chapter 7: Web Accessibility -- Chapter 8: The Accessible Library -- Appendix A: Questions for Accessibility Resource People -- Appendix B: Checklist for Presentation/Lecture Accessibility -- Appendix C: Test Plan for Hometownlibrary.com Glossary -- About the Author Accessibility is becoming an issue that libraries can no longer ignore. Making the Library Accessible for All provides a holistic guide to accessibility that addresses common issues and gives strategies for responding to unique situations. This book is a single-source guide relevant to all library functions that librarians can easily refer to when planning, remediating, or evaluating for accessibility. It has a unique holistic perspective, as well as an emphasis on perceiving people with disabilities as providing resources to meet a common goal rather than as a population to be "served." 9780810891463 print version oai:cds.cern.ch:2269271 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1676306 ebook ebook EBL201706 Information Transfer and Management SzGeCERN BOOK n 201723 201706 21 PUBLIC BOOK DELETED 2269180 SzGeCERN 20170906005811.0 9780786491469 96.25 (NL),96.25 (UA),82.5 (3U),55 (1U) electronic version EBL 995799 eng PE1128.A2 -- M386 2012eb 428.0071 McGarry, Richard Teaching English as a second language giving new learners an everyday grammar Jefferson, NC McFarland & Company 2012 187 p Acknowledgments -- Preface -- Introduction -- GRAMMAR -- GRAMMAR OF COMMON USAGE -- TEACHING GRAMMAR -- 1 -- The Mascagni Effect1 -- LANGUAGE -- LIVING LARGE -- DISCOURSE -- ON D.I.P.P.S. AND D.O.M.P.S. -- THE IMPORTANCE OF CULTURE -- Cultural Variables -- Sociocultural Variables -- Psychocultural Variables -- Environmental Variables -- NEGOTIATED PERSPECTIVE -- THE FOUR PERSPECTIVES -- Perspective of Time and Space -- Perspective of Condition -- Perspective of Focus -- Perspective of Interaction -- MOTIVATIONAL VALENCE -- THE MASCAGNI EFFECT REVISITED FROM PERSONAL EXPERIENCE: NEGOTIATED PERSPECTIVE AND LANGUAGE LEARNING -- Background -- The Need to Communicate -- L'Embrouillement de la Langue: The Language Jumble -- Little Defeats, Little Victories -- Practice Breeds Familiarity -- Familiarity Breeds Familiarity -- NOW YOU TRY IT! -- Understanding the Role of Discourse -- Understanding the Role of Negotiated Perspective -- The Friends Meet -- 2 -- Articles: Julie and the French Sailor -- THE QUESTION -- THE WHAT AND WHY OF ARTICLES -- THE CASE AGAINST DEFINITE AND INDEFINITE -- The First Scenario -- The Second Scenario THE PYRAMID AND THE MÖBIUS STRIP -- THE PROBLEM WITH COUNT AND MASS -- ISLANDS (OR ICELANDS) IN THE STREAM -- THE STRANGE CASE OF "A MAN" -- NOW YOU TRY IT! -- 1. Islands in the Stream Revisited -- 2. Telling Stories -- 3 -- Prepositions: It's Above Smitty's! -- THE QUESTION -- STRANGE BEHAVIOR -- THE ZEN OF PREPOSITIONS -- SPACE, TIME, DIRECTION AND THE MASCAGNI EFFECT -- STORIES, SCHEMA, PREPOSITIONS AND PHRASAL VERBS -- TRANSPORTATIONAL PROBLEMS -- PREPOSITIONS, PHRASAL VERBS AND WORLD VIEW -- SUMMING UP -- NOW YOU TRY IT! -- 1. Definitions -- 2. Teaching Prepositions 3. Prepositional Phrase Specifiers -- 4 -- The Subjunctive: If I Were a Rich Man -- THE QUESTION -- SUFFICE IT TO SAY -- THINKING SUBJUNCTIVELY -- THE TWO SUBJUNCTIVES -- To Dream the Impossible Dream -- A BIT OF FRIENDLY ADVICE -- THE NOT-SO-FINAL WORDS ON SUBJUNCTIVES -- NOW YOU TRY IT! -- 1. Conditionality -- 2. Are You Going or Not? -- 3. Teaching Conditionals -- 5 -- Gerunds and Infinitives: Remembering Loving Camping -- THE QUESTION -- THE ZEN OF GERUNDS AND INFINITIVES -- Definitions -- I Stopped to Look at the Painting -- I Stopped Looking at the Painting I Remembered Turning Off the Iron -- I Remembered to Turn Off the Iron -- Cases of One or the Other -- The Teacher Avoided Seeing the Principal -- Sam Refuses to Admit His Failure -- Here's the Beef! -- Now for the Zen -- Methodology -- Results -- Discussion -- THE UNUSUAL CASE OF LIKE AND ENJOY -- WHY? -- CONCLUSION -- NOW YOU TRY IT! -- Teaching Gerunds and Infinitives -- 6 -- Verbs: Come Together -- THE QUESTION -- THE FOUR PERSPECTIVES -- 7 -- Negatives, Interrogatives and Imperatives: Don't Ask and Don't Tell (Manipulative Speech Acts) -- THE QUESTION -- SPEECH ACTS TO BE OR NOT TO BE, THAT REALLY IS THE QUESTION This guide examines the concepts that most often confound ESL students, whose confusion can generally be reduced to one very basic question: Why does English work that way? Focusing on the grammar of conversational speech, the book goes beyond simple description of the parts of speech, tenses and modes, and other topics of instruction to consider the cultural differences in language use (for native speakers of Japanese, for instance, the painting may be on the wall--but the wall is also on the painting) and even the neuroscience of our speech patterns. With 36 illustrations, an annotated bibli 9780786470624 print version oai:cds.cern.ch:2269180 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_995799 ebook ebook EBL English language -- Grammar EBL201706 Other Subjects SzGeCERN BOOK n 201723 201706 21 PUBLIC BOOK DELETED 2269176 SzGeCERN 20170906005811.0 9783642127076 239 (NL),239 (1U) electronic version EBL 993477 eng TA1-2040 621.382 Mukhopadhyay, Subhas Chandra Advances in wireless sensors and sensor networks Berlin Springer 2010 364 p Lecture notes in electrical engineering 64 Title Page -- Guest Editorial -- Table of Contents -- Security for Wireless Sensor Networks - Configuration Aid -- Introduction -- Motivation -- Threats to Wireless Sensor Networks -- Security Primitives -- Security Protocols -- Configuring Security -- Protocols Supported -- Application Based Parameters -- Configuration Scenario -- Tool Design -- Conclusion -- References -- Low Power Wireless Buoy Platform for Environmental Monitoring -- Introduction -- WSN for Habitat Monitoring -- Buoys for Environmental Monitoring -- System Design -- Networking -- Time and Network Synchronization Power Supply -- Temperature Profiling -- Transmission Range Tests -- Buoy Deployment -- Results and Conclusion -- Ongoing and Future Work -- References -- A Detail Performance Evaluation of the Novel Mechanisms Ensuring Maximum Connectivity and Data Transmission between Nodes, Based on the Heuristics Under 5-Color Clustered Response Approach -- Introduction -- Related Work on All Layers of Protocol Stack -- Literature Review of Topology Discovery Mechanisms -- 5-Color Clustered Response Mechanism -- Heuristics Behind 5-Color Clustered Response Mechanism -- A Novel Duty Cycle Assignment Mechanism Phase 1 (Determining Recommended Number of Gray Nodes) -- Phase 2 (Node Selection Mechanism for a Parent Node) -- Phase 3 (Node Selection Mechanism for a Child Black Node) -- Transmission Mechanisms of Information Packets between a Pair of Clusters -- Overview of the Scenarios When a Node Fails -- Fault Tolerance Mechanism -- Discussion of Fault Tolerance Mechanism at Faulty State of a Node -- Discussion of Fault Tolerance Mechanism at the Operational State of a Node -- Method of Resetting the States of the Nodes -- Fault Tolerance Mechanism When a Node Fails Multiple Times Mechanism of Caching Packets Transmitted to a Faulty Node -- Performance Evaluation -- Experiment 1 -- Experiment 2 -- Experiment 3 -- Experiment 4 -- Experiment 5 -- Experiment 6 -- Experiment 7 -- Experiment 8 -- Experiment 9 -- Experiment 10 -- Experiment 11 -- Experiment 12 -- Experiment 13 -- Conclusion and Future Work -- References -- Inventory Management in the Packaged Gas Industry Using Wireless Sensor Networks -- Asset Tracking and the Packaged Gas Industry -- Using Wireless Sensor Networks for Gas Cylinder Tracking -- Prototype System Implementation -- System Overview System Operation -- Key Features -- Sensors for Asset Tracking -- Experimental Results -- Battery Life -- Using the Hand Held Unit for Asset Discovery -- Industrial Demonstration -- Conclusions and Future Work -- References -- An EM-IMM Method for Simultaneous Registration and Fusion of Multiple Radars and ESM Sensors -- Introduction -- Sensor Network Model for Radars and ESM Sensors -- Simultaneous Registration and Fusion Using EM-IMM -- E-STEP -- Expectation Evaluation by IMM Filter -- M-STEP -- Bias Analysis of the EM Method -- Performance Evaluation by PCRB -- Simulation Results Conclusions Written by experts, this book illustrates and collects recent advances in wireless sensors and sensor networks. It provides clever support for scientists, students and researchers in order to stimulate exchange and discussions for further developments. Leung, Henry Leung, Henry 9783642127069 print version oai:cds.cern.ch:2269176 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_993477 ebook ebook EBL Electronic books -- local EBL201706 Engineering SzGeCERN BOOK n 201723 21 PUBLIC BOOK DELETED 2269155 SzGeCERN 20180716233659.0 9781609187514 252 (NL),180 (3U),144 (1U) electronic version EBL 793711 eng RA566 -- .C764 2012eb 610.285 Cromley, Ellen K Gis and public health 2nd ed. New York, NY Guilford Publications 2011 528 p Cover -- Front Matter -- Contents -- List of Figures -- List of Tables -- Introduction -- Chapter 1--Geographic Information Systems -- Chapter 2--Spatial Data -- Chapter 3--Spatial Databases for Public Health -- Chapter 4--Mapping Health Information -- Chapter 5--Analyzing Spatial Clustering of Health Events -- Chapter 6--Analyzing Environmental Hazards -- Chapter 7--Analyzing the Risk and Spread of Infectious Diseases -- Chapter 8--Exploring the Ecology of Vector‑Borne Diseases -- Chapter 9--Analyzing Access to Health Services -- Chapter 10--Locating Health Services Chapter 11--Health Disparities -- Chapter 12--Public Participation GIS and Community Health -- References -- Index -- About the Authors Authoritative and comprehensive, this is the leading text and professional resource on using geographic information systems (GIS) to analyze and address public health problems. Basic GIS concepts and tools are explained, including ways to access and manage spatial databases. The book presents state-of-the-art methods for mapping and analyzing data on population, health events, risk factors, and health services, and for incorporating geographical knowledge into planning and policy. Numerous maps, diagrams, and real-world applications are featured. The companion Web page provides lab exercises w McLafferty, Sara L 9781609187507 print version oai:cds.cern.ch:2269155 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_793711 ebook ebook EBL201706 Health Physics and Radiation Effects SzGeCERN BOOK n 201723 21 PUBLIC BOOK DELETED 2269139 SzGeCERN 20180317013930.0 9783642144523 209 (NL),209 (1U) electronic version EBL 645615 eng TA1-2040 005.82 Sadeghi, Ahmad-Reza Towards hardware-intrinsic security foundations and practice Berlin Springer 2010 405 p Information security and cryptography Information Security and Cryptography -- Foreword -- Contents -- List of Contributors -- Part I Physically Unclonable Functions (PUFs) -- Physically Unclonable Functions: A Study on the State of the Art and Future Research Directions -- Roel Maes and Ingrid Verbauwhede -- 1 Introduction -- 2 PUF Terminology and Measures -- 2.1 Challenges and Responses -- 2.2 Inter- and Intra-distance Measures -- 2.3 Environmental Effects -- 3 PUF Instantiations -- 3.1 Non-electronic PUFs -- 3.2 Analog Electronic PUFs -- 3.3 Delay-Based Intrinsic PUFs -- 3.4 Memory-Based Intrinsic PUFs 3.5 PUF Concepts -- 4 PUF Properties -- 4.1 Property Description -- 4.2 Property Check -- 4.3 Least Common Subset of PUF Properties -- 5 PUF Application Scenarios -- 5.1 System Identification -- 5.2 Secret Key Generation -- 5.3 Hardware-Entangled Cryptography -- 6 PUF Discussions and Some Open Questions -- 6.1 Predictability Versus Implementation Size -- 6.2 Formalization of PUF Properties -- 6.3 Reporting on PUF Implementation Results -- 7 Conclusion -- References -- Hardware Intrinsic Security from Physically Unclonable Functions Helena Handschuh, Geert-Jan Schrijen, and Pim Tuyls -- 1 Introduction -- 2 Rethinking Secure Key Storage Mechanisms -- 2.1 Limitations of Current Key Storage Mechanisms -- 2.2 A Radical New Approach to Secure Key Storage -- 3 Hardware Intrinsic Security -- 3.1 Physically Unclonable Functions -- 3.2 Examples of PUFs -- 3.3 Secure Key Storage Based on PUFs -- 4 Quality of a PUF -- 4.1 Reliability -- 4.2 Security -- 5 Conclusions -- References -- From Statistics to Circuits: Foundations for Future Physical Unclonable Functions Inyoung Kim, Abhranil Maiti, Leyla Nazhandali, Patrick Schaumont, Vignesh Vivekraja, and Huaiye Zhang -- 1 Introduction -- 2 Components and Quality Factors of a PUF Design -- 2.1 Components of a PUF -- 2.2 PUF Quality Factors -- 2.3 Sources of CMOS Variability and Compensation of Unwanted Variability -- 3 Circuit-Level Optimization of PUF -- 3.1 Methodology -- 3.2 Background: Operating Voltage and Body Bias -- 3.3 Effect of Operating Voltage and Body Bias on PUF -- 4 Architecture-Level Optimization of PUF -- 4.1 Compensation of Environmental Effects 4.2 Compensation of Correlated Process Variations -- 5 Identity Mapping and Testing -- 5.1 Statistical Preliminaries -- 5.2 A New Test Statistic: Q -- 5.3 Experimental Results -- 5.4 Compensation of Environmental Effects -- 5.5 Open Challenges -- 6 Conclusions -- References -- Strong PUFs: Models, Constructions, and Security Proofs -- Ulrich Rührmair, Heike Busch, and Stefan Katzenbeisser -- 1 Introduction -- 2 Implementations of Strong Physical Unclonable Functions -- 3 Physical Unclonable Functions: Toward a Formal Definition -- 3.1 Physical One-Way Functions 3.2 Physical Unclonable Functions Hardware-intrinsic security is a young field dealing with secure secret key storage. This book features contributions from researchers and practitioners with backgrounds in physics, mathematics, cryptography, coding theory and processor theory. Naccache, David Tuyls, Pim 9783642144516 print version oai:cds.cern.ch:2269139 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_645615 ebook ebook EBL Computer input-output equipment EBL201706 Computing and Computers SzGeCERN BOOK n 201723 21 PUBLIC BOOK DELETED 2269109 SzGeCERN 20180515232347.0 9780080465708 324 (NL),324 (UA),270 (3U),216 (1U) electronic version EBL 282030 eng QA 279.4 -- .B453 2006eb 003.56 Ben-Haim, Yakov Info-gap decision theory decisions under severe uncertainty 2nd ed. San Diego, CA Elsevier Science 2006 385 p Front Cover -- Info-Gap Decision Theory -- Copyright Page -- Contents -- Preface to the 1st edition -- Preface to the 2nd edition -- 1 Overview -- 2 Uncertainty -- 2.1 Historical Perspective -- 2.2 Is Ignorance Probabilistic? -- 2.3 Info-Gap Uncertainty, Probability and Fuzziness -- 2.4 Uncertainty and Convexity -- 2.5 Some Info-Gap Models -- 2.6 ‡ Axioms of Info-Gap Uncertainty -- 2.7 Problems -- 3 Robustness and Opportuneness -- 3.1 Robustness and Opportuneness -- 3.1.1 A First Look -- 3.1.2 Immunity Functions -- 3.1.3 Generic Decision Algorithms -- 3.1.4 Multi-Criterion Reward 3.1.5 Three Components of Info-Gap Decision Models -- 3.1.6 Preferences -- 3.1.7 Trade-Offs -- 3.1.8 Zero Robustness and Preference Reversal -- 3.2 Simple Examples -- 3.2.1 Engineering Design: Cantilever -- 3.2.2 Structural Reliability -- 3.2.3 Structural Reliability with Uncertain Probability -- 3.2.4 Set-Points for Process Control -- 3.2.5 Sequential Decisions -- 3.2.6 Project Scheduling with Uncertain Task Durations -- 3.2.7 Portfolio Investment -- 3.2.8 Monetary Policy -- 3.2.9 Search and Evasion -- 3.2.10 Assay Design: Environmental Monitoring 3.2.11 Bio-Terror Preparedness with Epidemiological Models -- 3.2.12 Drug Selection -- 3.2.13 Estimating an Uncertain Probability Density -- 3.3 Production Volume With Uncertain Costs -- 3.4 ‡ General Robustness and Opportuneness Functions -- 3.5 Problems -- 4 Value Judgments -- 4.1 Normalization -- 4.2 Analogical Reasoning -- 4.3 Calibration by Consequence Severity -- 4.3.1 Robustness Function for Environmental Management -- 4.3.2 Calibration by Consequence Severity -- 4.4 Rationality and Preference -- 4.5 Problems -- 5 Antagonistic and Sympathetic Immunities -- 5.1 Immunity Functions 5.2 Reward-Coherent Action -- 5.3 Vibrating Mechanical Contact -- 5.4 Multi-Tasking of Computer Jobs -- 5.4.1 Formulation -- 5.4.2 Deriving Robustness and Opportuneness Functions -- 5.4.3 Results -- 5.5 Problems -- 6 Gambling and Risk Sensitivity -- 6.1 Preview -- 6.2 Risk Sensitivity and the Robustness Curve -- 6.3 Risk Sensitivity and Two Robustness Curves -- 6.4 Initial Commitment and Uncertain Future -- 6.4.1 Uniformly Bounded Uncertainty -- 6.4.2 Ellipsoidal Fourier Uncertainty -- 6.5 Risk Sensitivity, Robustness and Opportuneness -- 6.6 Risk-Neutral Line 6.7 Pure Competition with Uncertain Cost -- 6.8 Interim Summary -- 6.9 Risk Assessment in Project Management -- 6.10 ‡ More on the Robustness Premium -- 6.11 ‡ Robustness Premium and Resource Commitment -- 6.12 Problems -- 7 Value of Information -- 7.1 Informativeness of an Info-Gap Model -- 7.2 Demand Value of Information -- 7.3 Uncertain Loads on a Cantilever -- 7.4 Cantilever: Simple and Complex Info-Gap Models -- 7.5 Gathering Information in Project Management -- 7.6 Windfall Cost of Information -- 7.6.1 Formulation -- 7.6.2 Discussion -- 7.7 Initial Commitment and Uncertain Future: Revisited 7.8 Problems Everyone makes decisions, but not everyone is a decision analyst. A decision analyst uses quantitative models and computational methods to formulate decision algorithms, assess decision performance, identify and evaluate options, determine trade-offs and risks, evaluate strategies for investigation, and so on. This book is written for decision analysts. The term ""decision analyst"" covers an extremely broad range of practitioners. Virtually all engineers involved in design (of buildings, machines, processes, etc.) or analysis (of safety, reliability, feasibility, etc.) are decision analysts, 9780123735522 print version oai:cds.cern.ch:2269109 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_282030 ebook ebook EBL Decision making -- Mathematical models EBL Electronic books -- local EBL Risk assessment -- Mathematical models EBL201706 Computing and Computers SzGeCERN BOOK n 201723 21 PUBLIC BOOK DELETED 2268724 SzGeCERN 20170613235133.0 DOI submitter 10.1016/j.epsr.2016.07.007 oai:inspirehep.net:1604152 cerncds:CERN ForCDS http://inspirehep.net/oai2d 2017-06-13T04:00:09Z marcxml oai:inspirehep.net:1604152 2017-06-12T15:25:48Z Inspire 1604152 eng Thomas, Heiko IASS, Potsdam submitter Efficiency of superconducting transmission lines: An analysis with respect to the load factor and capacity rating crossref Efficiency of superconducting transmission lines: An analysis with respect to the load factor and capacity rating 2016 11 p submitter Superconducting transmission lines (SCTL) are an innovative option for the future electricity grid and in particular for high-capacity HVDC power transmission. The promise of superconducting electric lines lies principally in their small size, with potential advantages in terms of efficiency, environmental impact and public acceptance. Furthermore, contrary to standard conductors, SCTL do not have any resistive losses, therefore the only remaining power loss is due to the cooling system that is needed to keep the superconductor at its cryogenic operating temperature. In order to obtain a realistic value for the SCTL efficiency, both the actual load factor and the capacity rating have to be taken into account. This paper analyzes the transmission efficiency characteristics for two long-distance SCTL designs developed at the IASS and at EPRI as a function of the load factor for capacities up to 10 GW, and in comparison with established transmission technologies. The focus of this study is the planned expansion of the HVDC transmission system in Germany, which is aimed at achieving the current CO2 reduction goals by integrating an increased share of intermittent renewable energy (RE) into the grid. The results can be readily extended to other scenarios and can provide complementary information for decision processes directed at planning a sustainable future grid. SzGeCERN Detectors and Experimental Techniques CERN Marian, Adela IASS, Potsdam Chervyakov, Alexander IASS, Potsdam Stückrad, Stefan IASS, Potsdam Rubbia, Carlo CERN 381-391 2016 Electric Power Syst. Res. 141 13 ARTICLE 2268706 SzGeCERN 20180403175938.0 oai:inspirehep.net:1603429 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS DOI submitter 10.5194/acp-15-55-2015 http://inspirehep.net/oai2d oai:inspirehep.net:1603429 2017-06-12T15:25:47Z 2017-06-13T04:00:09Z marcxml Inspire 1603429 eng Schobesberger, S Helsinki U. submitter On the composition of ammonia–sulfuric-acid ion clusters during aerosol particle formation 2015 24 p The formation of particles from precursor vapors is an important source of atmospheric aerosol. Research at the Cosmics Leaving OUtdoor Droplets (CLOUD) facility at CERN tries to elucidate which vapors are responsible for this new-particle formation, and how in detail it proceeds. Initial measurement campaigns at the CLOUD stainless-steel aerosol chamber focused on investigating particle formation from ammonia $(NH_3)$ and sulfuric acid $(H-2SO_4)$. Experiments were conducted in the presence of water, ozone and sulfur dioxide. Contaminant trace gases were suppressed at the technological limit. For this study, we mapped out the compositions of small $NH_3–H_2SO_4$ clusters over a wide range of atmospherically relevant environmental conditions. We covered [NH3] in the range from < 2 to 1400 pptv, $[H_2SO_4]$ from 3.3 × $10^6 to 1.4 × 10^9 cm^{−3}$ (0.1 to 56 pptv), and a temperature range from −25 to +20 °C. Negatively and positively charged clusters were directly measured by an atmospheric pressure interface time-of-flight (APi-TOF) mass spectrometer, as they initially formed from gas-phase $NH_3$ and $H_2SO_4$, and then grew to larger clusters containing more than 50 molecules of $NH_3$ and $H_2SO_4$, corresponding to mobility-equivalent diameters greater than 2 nm. Water molecules evaporate from these clusters during sampling and are not observed. We found that the composition of the $NH_3–H_2SO_4$ clusters is primarily determined by the ratio of gas-phase concentrations $[NH_3]$ / $[H_2SO_4]$, as well as by temperature. Pure binary $H_2O–H_2SO_4$ clusters (observed as clusters of only $H_2SO_4$) only form at $[NH_3]$ / $[H_2SO_4]$ < 0.1 to 1. For larger values of $[NH_3]$ / $[H_2SO_4]$, the composition of $NH_3–H_2SO_4$ clusters was characterized by the number of $NH_3$ molecules m added for each added $H_2SO_4$ molecule n (Δm/Δ n), where n is in the range 4–18 (negatively charged clusters) or 1–17 (positively charged clusters). For negatively charged clusters, Δ m/Δn saturated between 1 and 1.4 for $[NH_3]$ / $[H_2SO_4]$ > 10. Positively charged clusters grew on average by Δm/Δn = 1.05 and were only observed at sufficiently high $[NH_3]$ / $[H_2SO_4]$. The $H_2SO_4$ molecules of these clusters are partially neutralized by $NH_3$, in close resemblance to the acid–base bindings of ammonium bisulfate. Supported by model simulations, we substantiate previous evidence for acid–base reactions being the essential mechanism behind the formation of these clusters under atmospheric conditions and up to sizes of at least 2 nm. Our results also suggest that electrically neutral $NH_3–H_2SO_4$ clusters, unobservable in this study, have generally the same composition as ionic clusters for $[NH_3]$ / $[H_2SO_4]$ > 10. We expect that NH3–H2SO4 clusters form and grow also mostly by Δm/Δn > 1 in the atmosphere's boundary layer, as $[NH_3]$ / $[H_2SO_4]$ is mostly larger than 10. We compared our results from CLOUD with APi-TOF measurements of $NH_3–H_2SO_4$ anion clusters during new-particle formation in the Finnish boreal forest. However, the exact role of $NH_3–H_2SO_4$ clusters in boundary layer particle formation remains to be resolved. CC-BY SzGeCERN Chemical Physics and Chemistry CERN CERN PS CLOUD PS215 Franchin, A Helsinki U. Bianchi, F PSI, Villigen Rondo, L Goethe U., Frankfurt (main) Duplissy, J Helsinki U. CERN Kürten, A Goethe U., Frankfurt (main) Ortega, I K Helsinki U. PhLAM, Villeneuve d'Ascq Metzger, A Ionicon Analytik GmbH, Innsbruck Schnitzhofer, R Innsbruck U. Almeida, J CERN Amorim, A SIM, University of Lisbon Beira Interior U., Covilha Dommen, J PSI, Villigen Dunne, E M Leeds U. Finnish Meteorological Inst. Ehn, M Helsinki U. Gagné, S Helsinki U. Ickes, L Goethe U., Frankfurt (main) Junninen, H Helsinki U. Hansel, A Ionicon Analytik GmbH, Innsbruck Innsbruck U. Kerminen, V -M Helsinki U. Kirkby, J Goethe U., Frankfurt (main) CERN Kupc, A Vienna U. Laaksonen, A Finnish Meteorological Inst. UEF, Kuopio Lehtipalo, K Helsinki U. Mathot, S CERN Onnela, A CERN Petäjä, T Helsinki U. Riccobono, F PSI, Villigen Santos, F D SIM, University of Lisbon Beira Interior U., Covilha Sipilä, M Helsinki U. Tomé, A SIM, University of Lisbon Beira Interior U., Covilha Tsagkogeorgas, G TROPOS, Leibniz Viisanen, Y Finnish Meteorological Inst. Wagner, P E Vienna U. Wimmer, D Helsinki U. Goethe U., Frankfurt (main) Curtius, J Goethe U., Frankfurt (main) Donahue, N M Carnegie Mellon U. Baltensperger, U PSI, Villigen Kulmala, M Helsinki U. Worsnop, D R Helsinki U. Finnish Meteorological Inst. UEF, Kuopio Aerodyne Research, Billerica 55-78 1 Atmos. Chem. Phys. 15 2015 1319634 1859140 http://cds.cern.ch/record/2268706/files/acp-15-55-2015.pdf 13 ARTICLE 1972018 0-0-1-0-0-0-1 2017-06-08 15:09:45 Invenio/1.1.2.1260-aa76f refextract/1.5.44 content.pdf;1 2268705 SzGeCERN 20171025101858.0 DOI submitter 10.5194/acp-15-4145-2015 oai:inspirehep.net:1603428 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d 2017-06-13T04:00:09Z marcxml oai:inspirehep.net:1603428 2017-06-12T14:22:56Z Inspire 1603428 eng Praplan, A P Helsinki U. submitter Elemental composition and clustering behaviour of α-pinene oxidation products for different oxidation conditions crossref Elemental composition and clustering behaviour of α-pinene oxidation products for different oxidation conditions 2015 15 p This study presents the difference between oxidised organic compounds formed by α-pinene oxidation under various conditions in the CLOUD environmental chamber: (1) pure ozonolysis (in the presence of hydrogen as hydroxyl radical (OH) scavenger) and (2) OH oxidation (initiated by nitrous acid (HONO) photolysis by ultraviolet light) in the absence of ozone. We discuss results from three Atmospheric Pressure interface Time-of-Flight (APi-TOF) mass spectrometers measuring simultaneously the composition of naturally charged as well as neutral species (via chemical ionisation with nitrate). Natural chemical ionisation takes place in the CLOUD chamber and organic oxidised compounds form clusters with nitrate, bisulfate, bisulfate/sulfuric acid clusters, ammonium, and dimethylaminium, or get protonated. The results from this study show that this process is selective for various oxidised organic compounds with low molar mass and ions, so that in order to obtain a comprehensive picture of the elemental composition of oxidation products and their clustering behaviour, several instruments must be used. We compare oxidation products containing 10 and 20 carbon atoms and show that highly oxidised organic compounds are formed in the early stages of the oxidation. CC-BY INSPIRE Other CERN CLOUD PS215 CERN PS Schobesberger, S Helsinki U. Bianchi, F PSI, Villigen Zurich, ETH Rissanen, M P Helsinki U. Ehn, M Helsinki U. Jokinen, T Helsinki U. Junninen, H Helsinki U. Adamov, A Helsinki U. Amorim, A SIM, University of Lisbon Beira Interior U., Covilha Dommen, J PSI, Villigen Duplissy, J Helsinki U. Hakala, J Helsinki U. Hansel, A Innsbruck U. Innsbruck U., Inst. Astrophys. Heinritzi, M Innsbruck U., Inst. Astrophys. Goethe U., Frankfurt (main) Kangasluoma, J Helsinki U. Kirkby, J Goethe U., Frankfurt (main) CERN Krapf, M PSI, Villigen Kürten, A Goethe U., Frankfurt (main) Lehtipalo, K Helsinki U. Riccobono, F PSI, Villigen Rondo, L Goethe U., Frankfurt (main) Sarnela, N Helsinki U. Simon, M Goethe U., Frankfurt (main) Tomé, A SIM, University of Lisbon Beira Interior U., Covilha Tröstl, J PSI, Villigen Winkler, P M Vienna U. Williamson, C Goethe U., Frankfurt (main) Ye, P Carnegie Mellon U. Curtius, J Goethe U., Frankfurt (main) Baltensperger, U PSI, Villigen Donahue, N M Carnegie Mellon U. Kulmala, M Helsinki U. Worsnop, D R Helsinki U. Aerodyne Research, Billerica 4145-4159 8 2015 Atmosph. Chem. Phys. 15 1319633 1150182 http://cds.cern.ch/record/2268705/files/acp-15-4145-2015.pdf 13 ARTICLE 0-0-2-1-0-1-0 2017-06-08 15:08:22 Invenio/1.1.2.1260-aa76f refextract/1.5.44 content.pdf;1 2268506 20250515231527.0 oai:cds.cern.ch:2268506 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN CERN-THESIS-2017-062 eng Schumacher, Jorn AUTHOR|(CDS)2088631 AUTHOR|(SzGeCERN)752705 CERN jorn.schumacher@cern.ch Interfacing Detectors and Collecting Data for Large-Scale Experiments in High Energy Physics Using COTS Technology 102 p Presented 09 Jun 2017 PhD Paderborn U. 2017 Data-acquisition systems for high-energy physics experiments like the ATLAS experiment at the European particle-physics research institute CERN are used to record experimental physics data and are essential for the effective operation of an experiment. Located in underground facilities with limited space, power, cooling, and exposed to ionizing radiation and strong magnetic fields, data-acquisition systems have unique requirements and are challenging to design and build. Traditionally, these systems have been composed of custom-designed electronic components to be able to cope with the large data volumes that high-energy physics experiments generate and at the same time meet technological and environmental requirements. Custom-designed electronics is costly to develop, effortful to maintain and typically not very flexible. This thesis explores an alternative architecture for data-acquisition systems based on commercial off-the-shelf (COTS) components. A COTS-based data distribution device called FELIX that will be integrated in ATLAS is presented. The hardware and software implementation of this device is discussed, with a specific focus on performance, heterogenity of systems and traffic patterns. The COTS-based readout approach is evaluated in the context of the future requirements of the ATLAS experiment. The main contributions of the thesis are an analysis of the ATLAS data-acquisition system with a focus on the readout system, a software architecture for the main application on FELIX hosts, a performance analysis and tuning based on computer science methods for central FELIX software components with respect to the requirements of the ATLAS experiment, a network communication library with a high-level software interface to utilize high-performance computing network technology for the purpose of data-acquisition systems, and an evaluation and discussion of ATLAS data-acquisition using FELIX systems as a case study for COTS-based data-acquisition in high-energy physics. CERN Doctoral Student Program CERN EDS Computing and Computers SzGeCERN CERN THESIS CERN LHC ATLAS Plessl, Christian dir. Paderborn U. Wandelli, Wainer dir. CERN EP http://cds.cern.ch/record/2268506/files/CERN-THESIS-2017-062.pdf Fulltext 1319493 11931435 1319493 10084071 http://cds.cern.ch/record/2268506/files/CERN-THESIS-2017-062.pdf?subformat=pdfa pdfa jorn.schumacher@cern.ch n 201724 a2017 14 PUBLIC https://repository.cern/legacy/record/2268506 THESIS MIGRATED 2268178 SzGeCERN 20180904204952.0 oai:cds.cern.ch:2268178 cerncds:FULLTEXT CERN-ACC-2017-0035 eng Skarda, Vlad STFC, UK Low energy electron beams for industrial and environmental applications 2017 Geneva CERN 2016-12-09 EuCARD-2 Workshop, 8-9 December 2016, Warsaw, Poland. Organizers: Science and Technology Facilities Council, UK CERN - The European Organization for Nuclear Research, Switzerland, Institute of Nuclear Chemistry and Technology, Poland, Fraunhofer Institute for Electron Beam and Plasma Technology, Germany, Warsaw University of Technology, Poland. An article presents short information about EuCARD-2 Workshop “Low energy electron beams for industrial and environmental applications”, which was held in December 2016 in Warsaw. Objectives, main topics and expected output of meeting are described. List of organizers is included. FP7 312453 EuCARD2 openAccess CERN Invenio WebSubmit GENEU 0.1 UNCL CDS SzGeCERN Accelerators and Storage Rings EuCARD2 4: Accelerator Applications (AccApplic) WP EuCARD2 4.1: Coordination and Communication Task author EuCARD-2 Workshop author electron accelerators author low energy electron beams author applications of electron accelerators EuCARD2 EuCARD2PUB 10-11 1 Postepy Techniki Jadrowel 60Z 2017 1318874 801096 http://cds.cern.ch/record/2268178/files/CERN-ACC-2017-0035.pdf 1318874 2517 http://cds.cern.ch/record/2268178/files/CERN-ACC-2017-0035.gif?subformat=icon icon 1318874 3741 http://cds.cern.ch/record/2268178/files/CERN-ACC-2017-0035.jpg?subformat=icon- icon- 1318874 4559419 http://cds.cern.ch/record/2268178/files/CERN-ACC-2017-0035.pdf?subformat=pdfa pdfa valerie.brunner@cern.ch 13 PUBLIC ARTICLE EuCARD2 2268082 SzGeCERN 20170731221427.0 DOI submitter 10.1093/database/baw075 oai:inspirehep.net:1602769 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN ForCDS http://inspirehep.net/oai2d 2017-06-08T04:00:08Z marcxml oai:inspirehep.net:1602769 2017-06-07T11:08:03Z Inspire 1602769 eng McQuilton, Peter Oxford U. submitter BioSharing: curated and crowd-sourced metadata standards, databases and data policies in the life sciences crossref BioSharing: curated and crowd-sourced metadata standards, databases and data policies in the life sciences 2016 8 p BioSharing (http://www.biosharing.org) is a manually curated, searchable portal of three linked registries. These resources cover standards (terminologies, formats and models, and reporting guidelines), databases, and data policies in the life sciences, broadly encompassing the biological, environmental and biomedical sciences. Launched in 2011 and built by the same core team as the successful MIBBI portal, BioSharing harnesses community curation to collate and cross-reference resources across the life sciences from around the world. BioSharing makes these resources findable and accessible (the core of the FAIR principle). Every record is designed to be interlinked, providing a detailed description not only on the resource itself, but also on its relations with other life science infrastructures. Serving a variety of stakeholders, BioSharing cultivates a growing community, to which it offers diverse benefits. It is a resource for funding bodies and journal publishers to navigate the metadata landscape of the biological sciences; an educational resource for librarians and information advisors; a publicising platform for standard and database developers/curators; and a research tool for bench and computer scientists to plan their work. BioSharing is working with an increasing number of journals and other registries, for example linking standards and databases to training material and tools. Driven by an international Advisory Board, the BioSharing user-base has grown by over 40% (by unique IP address), in the last year thanks to successful engagement with researchers, publishers, librarians, developers and other stakeholders via several routes, including a joint RDA/Force11 working group and a collaboration with the International Society for Biocuration. In this article, we describe BioSharing, with a particular focus on community-led curation. SzGeCERN Computing and Computers CERN Gonzalez-Beltran, Alejandra Oxford U. Rocca-Serra, Philippe Oxford U. Thurston, Milo Oxford U. Lister, Allyson Oxford U. Maguire, Eamonn CERN Sansone, Susanna-Assunta Oxford U. baw075 2016 Database 2016 1318782 924534 http://cds.cern.ch/record/2268082/files/fulltext.pdf 13 ARTICLE 0-0-1-1-0-0-1 2017-06-06 14:43:42 Invenio/1.1.2.1260-aa76f refextract/1.5.44 content.pdf;1 2267908 SzGeCERN 20170731221526.0 DOI Elsevier 10.1016/j.nima.2015.10.090 oai:inspirehep.net:1458052 cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d 2017-06-07T04:00:10Z marcxml oai:inspirehep.net:1458052 2017-06-06T13:16:30Z Inspire 1458052 eng Fry, J R JRF@liverpool.ac.uk Liverpool U. KTAG: The Kaon Identification Detector for CERN experiment NA62 2016 3 p Elsevier In the study of ultra-rare kaon decays, CERN experiment NA62 exploits an unseparated monochromatic (75 GeV/ c ) beam of charged particles of flux 800 MHz, of which 50 MHz are K+ . Kaons are identified with more than 95% efficiency, a time resolution of better than 100 ps, and misidentification of less than 10 −4 using KTAG, a differential, ring-focussed, Cherenkov detector. KTAG utilises 8 sets of 48 Hamamatsu PMTs, of which 32 are of type 9880 and 16 of type 7400, with signals fed directly to the differential inputs of NINO front-end boards and then to TDC cards within the TEL62 system. Leading and trailing edges of the PMT signal are digitised, enabling slewing corrections to be made, and a mean hit rate of 5 MHz per PMT is supported. The electronics is housed within a cooled and insulated Faraday cage with environmental monitoring capabilities. CERN SzGeCERN Detectors and Experimental Techniques author KTAG author Cherenkov detectors author Fast timing author Photomultipliers CERN CERN SPS NA62 CERN NA62 96-98 C15-05-24.1 2016 Nucl. Instrum. Methods Phys. Res., A 824 13 1983186 labiodola20150524 96-98 ARTICLE ConferencePaper 2267330 SzGeCERN 20210422083627.0 9783319554709 print version 9783319554716 electronic version electronic version DOI 10.1007/978-3-319-55471-6 e-proceedings oai:cds.cern.ch:2267330 cerncds:CONF eng QC1-QC999 23 621 20170615 3rd International Winter School and Conference on Network Science Tel Aviv, Israel 15 - 18 Jun 2017 2017 telaviv20170615 3 IL NetSci-X 2017 20170618 Cham Springer 2017 ebook Springer proceedings in complexity 2213-8684 Chapter1. Node-Centric Detection of Overlapping Communities in Social Networks -- Chapter2. Community structures evaluation in complex networks: A descriptive approach -- Chapter3. Do Network Models Just Model Networks? On The Applicability of Network Oriented Modeling -- Chapter4. Visibility of nodes in network growth models -- Chapter5. Topology data analysis of critical transitions in financial networks -- Chapter6. Modeling and Analysis of Glass Ceiling and Power Inequality in Bi-populated Societies -- Chapter7. Elites in Social Networks: An Axiomatic Approach -- Chapter8. Ranking scientific papers on the basis of their citations growing trend -- Chapter9. Towards network economics: the problem of the network modus of value -- Chapter10. Open Questions in Multidimensional Multilevel Network Science. . This book contains original research chapters related to the interdisciplinary field of complex networks spanning biological and environmental networks, social, technological, and economic networks. Many natural phenomena can be modeled as networks where nodes are the primitive compounds and links represent their interactions, similarities, or distances of sorts. Complex networks have an enormous impact on research in various fields like biology, social sciences, engineering, and cyber-security to name a few. The topology of a network often encompasses important information on the functionality and dynamics of the system or the phenomenon it represents. Network science is an emerging interdisciplinary discipline that provides tools and insights to researchers in a variety of domains. NetSci-X is the central winter conference within the field and brings together leading researchers and innovators to connect, meet, and establish interdisciplinary channels for collaboration. It is the largest and best known event in the area of network science. This text demonstrates how ideas formulated by authors with different backgrounds are transformed into models, methods, and algorithms that are used to study complex systems across different domains and will appeal to researchers and students within in the field. . Physics and astronomy SPR201706 SzGeCERN Other Fields of Physics SPR Bioinformatics SPR Applications of Graph Theory and Complex Networks SPR Computational Social Sciences SPR Data-driven Science, Modeling and Theory Building SPR Computational BiologyBioinformatics CONFERENCE PROCEEDINGS Shmueli, Erez ed. Barzel, Baruch ed. Puzis, Rami ed. NetSci-X 2017 Acronym 201706 SPR n 201722 42 PUBLIC https://catalogue.library.cern/legacy/2267330 PROCEEDINGS MIGRATED 2267257 SzGeCERN 20210422083640.0 9783319584201 print version 9783319584218 electronic version electronic version DOI 10.1007/978-3-319-58421-8 e-proceedings oai:cds.cern.ch:2267257 cerncds:CONF eng TD419-428 363.7394 23 363.73946 23 20170521 Frontiers International Conference on Wastewater Treatment Palermo, Italy 21 - 24 May 2017 2017 palermo20170521 IT FICWTM 2017 20170524 Cham Springer 2017 ebook Lecture notes in civil engineering 2366-2557 4 Part A: Carbon nutrient removal and recovery -- Part B: Instrumentation and control and automation (ICA) & Benchmarking -- Part C: Membrane Bioreactors -- Part D: Anaerobic digestion -- Part E: New frontiers in wastewater treatment -- Part F: Greenhouse gases from wastewater treatment plants -- Part G: Moving bed biofilm reactors and hybrid systems -- Part H: Anaerobic digestion & Modelling -- Part I: Computational fluid dynamic (CFD) in wastewater treatment. . This book describes the latest research advances, innovations, and applications in the field of water management and environmental engineering as presented by leading researchers, engineers, life scientists and practitioners from around the world at the Frontiers International Conference on Wastewater Treatment (FICWTM), held in Palermo, Italy in May 2017. The topics covered are highly diverse and include the physical processes of mixing and dispersion, biological developments and mathematical modeling, such as computational fluid dynamics in wastewater, MBBR and hybrid systems, membrane bioreactors, anaerobic digestion, reduction of greenhouse gases from wastewater treatment plants, and energy optimization. The contributions amply demonstrate that the application of cost-effective technologies for waste treatment and control is urgently needed so as to implement appropriate regulatory measures that ensure pollution prevention and remediation, safeguard public health, and preserve the environment. The contributions were selected by means of a rigorous peer-review process and highlight many exciting ideas that will spur novel research directions and foster multidisciplinary collaboration among different water specialists. . Engineering SPR201706 SzGeCERN Engineering SPR Aquatic ecology SPR Water pollution SPR Waste Water Technology Water Pollution Control Water Management Aquatic Pollution SPR Freshwater & Marine Ecology PROCEEDINGS CONFERENCE Mannina, Giorgio ed. FICWTM 2017 Acronym Frontiers in wastewater treatment and modelling SPR n 201722 201706 42 PUBLIC https://catalogue.library.cern/legacy/2267257 PROCEEDINGS MIGRATED 2267253 SzGeCERN 20210421211220.0 9789811047763 print version 9789811047770 electronic version electronic version DOI 10.1007/978-981-10-4777-0 ebook oai:cds.cern.ch:2267253 cerncds:BOOK eng TS1300-1865 677 23 Detox fashion supply chain Singapore Springer 2017 ebook Textile science and clothing technology 2197-9863 1.Toxic Free Supply Chain for Textiles and Clothing -- 2. Detoxifying luxury and fashion industry: Case of market driving brands -- 3.Integrating Sustainable Strategies in Fashion Design by Detox 2020 plan - Case studies from Different Brands. This first volume on detox fashion discusses various interesting topics including a Toxic-Free Supply Chain for Textiles and Clothing; Environmental Issues in Textiles; Global Regulations, Restrictions & Research; Making the Change: Consumer Adoption of Sustainable Fashion; and Strategies for Detoxing Your Wardrobe. It provides an overview of the chemical-related issues confronting the fashion sector, summarizes global regulations, and discusses how to make the change by changing consumers’ attitude towards adopting sustainable fashion, as well as the best strategies for detoxing our wardrobes. Engineering SPR201706 SzGeCERN Engineering SPR Chemistry SPR Textile industry SPR Environmental chemistry SPR Textile Engineering SPR Environmental Chemistry BOOK Muthu, Subramanian ed. SPR n 201722 201706 21 PUBLIC https://catalogue.library.cern/legacy/2267253 BOOK MIGRATED 2267246 SzGeCERN 20210421211221.0 9783319561349 print version 9783319561363 electronic version electronic version DOI 10.1007/978-3-319-56136-3 ebook oai:cds.cern.ch:2267246 cerncds:BOOK eng TA703-705.4 TA775-787 TC1-1800 624.15 23 Dynamic response of infrastructure to environmentally induced loads analysis, measurements, testing, and design Cham Springer 2017 ebook Lecture notes in civil engineering 2366-2557 2 Influence of seismic wave angle of incidence over the response of long curved bridges considering soil-structure-interaction -- Alternative approaches to the seismic analysis of R/C bridges -- Multi-platform hybrid (experimental-analysis) simulations -- Field structural dynamic tests at the Volvi, Greece, European test-site -- An intercontinental hybrid simulation experiment for the purposes of seismic assessment of a three-span R/C bridge -- Experimental seismic assessment of the effectiveness of isolation techniques for the seismic protection of existing R/C Bridges -- Modeling of high damping rubber bearings -- Experimental methods and activities in support of earthquake engineering -- Time reversal and imaging for structures -- Decentralized infrastructure health monitoring using embedded computing in wireless sensor networks -- Effects of local site conditions on the inelastic dynamic response of R/C bridges -- BEM-FEM coupling in the time domain for soil-tunnel interaction -- Energy methods for assessing dynamic soil-structure-interaction response in buildings -- Numerical and experimental identification of soil–foundation-bridge system dynamic characteristics -- Quantification of the seismic collapse capacity of regular frame structures. This book provides state of the art coverage of important current issues in the analysis, measurement, and monitoring of the dynamic response of infrastructure to environmental loads, including those induced by earthquake motion and differential soil settlement. The coverage is in five parts that address numerical methods in structural dynamics, soil–structure interaction analysis, instrumentation and structural health monitoring, hybrid experimental mechanics, and structural health monitoring for bridges. Examples that give an impression of the scope of the topics discussed include the seismic analysis of bridges, soft computing in earthquake engineering, use of hybrid methods for soil–structure interaction analysis, effects of local site conditions on the inelastic dynamic analysis of bridges, embedded models in wireless sensor networks for structural health monitoring, recent developments in seismic simulation methods, and seismic performance assessment and retrofit of structures. Throughout, the emphasis is on the most significant recent advances and new material. The book comprises extended versions of contributions delivered at the DE-GRIE Lab Workshop 2014, held in Thessaloniki, Greece, in November 2014. Engineering SPR201706 SzGeCERN Engineering SPR Geotechnical engineering SPR Geotechnical Engineering & Applied Earth Sciences BOOK Sextos, Anastasios ed. Manolis, George ed. SPR n 201722 201706 21 PUBLIC https://catalogue.library.cern/legacy/2267246 BOOK MIGRATED 2267232 SzGeCERN 20210421211224.0 9783658183424 print version 9783658183431 electronic version electronic version DOI 10.1007/978-3-658-18343-1 ebook oai:cds.cern.ch:2267232 cerncds:BOOK eng T55.4-60.8 670 23 Krones, Manuela A method to identify energy efficiency measures for factory systems based on qualitative modeling Wiesbaden Springer 2017 ebook Driving Concerns for and Barriers against Energy Efficiency -- Approaches to Increase Energy Efficiency in Factories -- Socio-Technical Description of Factory Planning Tasks -- Description of Energy Efficiency Measures -- Case Studies on Welding Processes and Logistics Systems. Manuela Krones develops a method that supports factory planners in generating energy-efficient planning solutions. The method provides qualitative description concepts for factory planning tasks and energy efficiency knowledge as well as an algorithm-based linkage between these measures and the respective planning tasks. Its application is guided by a procedure model which allows a general applicability in the manufacturing sector. The results contain energy efficiency measures that are suitable for a specific planning task and reveal the roles of various actors for the measures’ implementation. Contents Driving Concerns for and Barriers against Energy Efficiency Approaches to Increase Energy Efficiency in Factories Socio-Technical Description of Factory Planning Tasks Description of Energy Efficiency Measures Case Studies on Welding Processes and Logistics Systems Target Groups Lecturers and Students of Industrial Engineering, Production Engineering, Environmental Engineering, Mechanical Engineering Practitioners in Factory Planning, Production Engineering, Energy Management The Author Dr. Manuela Krones works as a research assistant at the Department of Factory Planning and Factory Management at Chemnitz University of Technology, Germany, and has conducted several projects on the energy efficiency of production and logistics systems. Engineering SPR201706 SzGeCERN Engineering BOOK SPR n 201722 201706 21 PUBLIC https://catalogue.library.cern/legacy/2267232 BOOK MIGRATED 2267225 SzGeCERN 20210421211226.0 9783319553719 print version 9783319553726 electronic version electronic version DOI 10.1007/978-3-319-55372-6 ebook oai:cds.cern.ch:2267225 cerncds:BOOK eng TJ210.2-211.495 T59.5 629.892 23 Sensing and control for autonomous vehicles applications to land, water and air vehicles Cham Springer 2017 ebook Lecture notes in control and information sciences 0170-8643 474 Vehicle Navigation Systems -- Localization and Mapping -- Path Planning -- Sensing and Tracking Systems -- Identification and Motion Control of Robotic Vehicles -- Coordinated and Cooperative Control of Multi-Vehicle Systems. This edited volume includes thoroughly collected on sensing and control for autonomous vehicles. Guidance, navigation and motion control systems for autonomous vehicles are increasingly important in land-based, marine and aerial operations. Autonomous underwater vehicles may be used for pipeline inspection, light intervention work, underwater survey and collection of oceanographic/biological data. Autonomous unmanned aerial systems can be used in a large number of applications such as inspection, monitoring, data collection, surveillance, etc. At present, vehicles operate with limited autonomy and a minimum of intelligence. There is a growing interest for cooperative and coordinated multi-vehicle systems, real-time re-planning, robust autonomous navigation systems and robust autonomous control of vehicles. Unmanned vehicles with high levels of autonomy may be used for safe and efficient collection of environmental data, for assimilation of climate and environmental models and to complement global satellite systems. The target audience primarily comprises research experts in the field of control theory, but the book may also be beneficial for graduate students. . Engineering SPR201706 SzGeCERN Engineering SPR Calculus of variations SPR Calculus of Variations and Optimal Control; Optimization BOOK Fossen, Thor ed. Pettersen, Kristin ed. Nijmeijer, Henk ed. SPR n 201722 201706 21 PUBLIC https://catalogue.library.cern/legacy/2267225 BOOK MIGRATED 2267208 SzGeCERN 20210421211230.0 9783319520742 print version 9783319520766 electronic version electronic version DOI 10.1007/978-3-319-52076-6 ebook oai:cds.cern.ch:2267208 cerncds:BOOK eng Q342 006.3 23 Smart energy control systems for sustainable buildings Cham Springer 2017 ebook Smart innovation, systems and technologies 2190-3018 67 From the Content: Zero-Energy Living Lab -- Assessment of the Green Roofs Thermal Dynamic Behaviour for Increasing the Building Energy Efficiencies -- Understanding Opportunities and Barriers for Xocial Occupant Learning in Low Carbon Housing. There is widespread interest in the way that smart energy control systems, such as assessment and monitoring techniques for low carbon, nearly-zero energy and net positive buildings can contribute to a Sustainable future, for current and future generations. There is a turning point on the horizon for the supply of energy from finite resources such as natural gas and oil become less reliable in economic terms and extraction become more challenging, and more unacceptable socially, such as adverse public reaction to ‘fracking’. Thus, in 2016 these challenges are having a major influence on the design, optimisation, performance measurements, operation and preservation of: buildings, neighbourhoods, cities, regions, countries and continents. The source and nature of energy, the security of supply and the equity of distribution, the environmental impact of its supply and utilization, are all crucial matters to be addressed by suppliers, consumers, governments, industry, academia, and financial institutions. This book entitled ‘Smart Energy Control Systems for Sustainable Buildings’ contains eleven chapters written by international experts based on enhanced conference papers presented at the Sustainability and Energy in Buildings International conference series. This book will be of interest to University staff and students; and also industry practioners. Engineering SPR201706 SzGeCERN Engineering SPR Renewable energy resources SPR Energy systems SPR Civil engineering SPR Renewable energy sources SPR Alternate energy sources SPR Green energy industries SPR Energy Systems SPR Renewable and Green Energy SPR Civil Engineering BOOK Littlewood, John ed. Spataru, Catalina ed. Howlett, Robert ed. Jain, Lakhmi ed. SPR n 201722 201706 21 PUBLIC https://catalogue.library.cern/legacy/2267208 BOOK MIGRATED 2267194 SzGeCERN 20210421211233.0 9783319507507 print version 9783319507514 electronic version electronic version DOI 10.1007/978-3-319-50751-4 ebook oai:cds.cern.ch:2267194 cerncds:BOOK eng TJ212-225 629.8 23 Real-time monitoring and operational control of drinking-water systems Cham Springer 2017 ebook Advances in industrial control 1430-9491 Introduction -- Real-Time Monitoring and Operational Control of Water Systems -- Part I: Modelling -- Modelling of Drinking Water Networks -- Parameter Estimation -- Nodal Demand Calibration -- Short-Term Demand Forecasting -- Part II: Monitoring -- Leak Monitoring -- Quality Monitoring -- Sensor Placement for Monitoring -- Data Validation and Reconstruction -- Fault Diagnosis -- Part III: Operational Control -- Model Predictive Control of Transport Networks -- Model Predictive Control of Distribution Networks -- Stochastic Model Predictive Control -- Fault-Tolerance and Health-Aware Strategies -- Partitioning the Network into Subsystems -- Decentralized Model Predictive Control -- Part IV: Future Trends -- Data-Driven Evolutionary Game-Based Control -- Coordination between Regional and Metropolitan Networks -- Big Data Analytics and Knowledge Discovery. This book presents a set of approaches for the real-time monitoring and control of drinking-water networks based on advanced information and communication technologies. It shows the reader how to achieve significant improvements in efficiency in terms of water use, energy consumption, water loss minimization, and water quality guarantees. The methods and approaches presented are illustrated and have been applied using real-life pilot demonstrations based on the drinking-water network in Barcelona, Spain. The proposed approaches and tools cover: • decision-making support for real-time optimal control of water transport networks, explaining how stochastic model predictive control algorithms that take explicit account of uncertainties associated with energy prices and real demand allow the main flow and pressure actuators—pumping stations and pressure regulation valves—and intermediate storage tanks to be operated to meet demand using the most sustainable types of source and with minimum electricity costs; • decision-making support for monitoring water balance and distribution network quality in real time, implementing fault detection and diagnosis techniques and using information from hundreds of flow, pressure, and water-quality sensors together with hydraulic and quality-parameter-evolution models to detect and locate leaks in the network, possible breaches in water quality, and failures in sensors and/or actuators; • consumer-demand prediction, based on smart metering techniques, producing detailed analyses and forecasts of consumption patterns, providing a customer communications service, and suggesting economic measures intended to promote more efficient use of water at the household level. Researchers and engineers working with drinking-water networks will find this a vital support in overcoming the problems associated with increased population, environmental sensitivities and regulation, aging infrastructures, energy requirements, and limited water sources. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control. Engineering SPR201706 SzGeCERN Engineering SPR Water-supply SPR Computer simulation SPR Water IndustryWater Technologies SPR Simulation and Modeling BOOK Puig, Vicenç ed. Ocampo-Martínez, Carlos ed. Pérez, Ramon ed. Cembrano, Gabriela ed. Quevedo, Joseba ed. Escobet, Teresa ed. SPR n 201722 201706 21 PUBLIC https://catalogue.library.cern/legacy/2267194 BOOK MIGRATED 2267162 SzGeCERN 20170613172422.0 DOI submitter 10.1016/j.rser.2015.10.041 oai:inspirehep.net:1601953 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1601953 2017-06-01T15:15:24Z 2017-06-02T04:00:03Z marcxml Inspire 1601953 eng Thomas, Heiko IASS submitter Superconducting transmission lines – Sustainable electric energy transfer with higher public acceptance? crossref Superconducting transmission lines – Sustainable electric energy transfer with higher public acceptance? 2016 14 p Despite the extensive research and development investments into superconducting science and technology, both at the fundamental and at the applied levels, many benefits of superconducting transmission lines (SCTL) remain unknown to the public and decision makers at large. This paper aims at informing about the progress in this important research field. Superconducting transmission lines have a tremendous size advantage and lower total electrical losses for high capacity transmission plus a number of technological advantages compared to solutions based on standard conductors. This leads to a minimized environmental impact and enables an overall more sustainable transmission of electric energy. One of the direct benefits may be an increased public acceptance due to the low visual impact with a subsequent reduction of approval time. The access of remote renewable energy (RE) sources with high-capacity transmission is rendered possible with superior efficiency. That not only translates into further reducing $CO_2$ emissions in a global energy mix that is still primarily based on fossils, but can also facilitate the development of RE sources given for instance the strong local opposition against the construction of new transmission lines. The socio-economic aspects of superconducting transmission lines based on the novel magnesium diboride $(MgB_2)$ superconductor and on high-temperature superconductors (HTS) are compared to state-of-the-art HVDC overhead lines and underground cables based on resistive conductors. CC-BY SzGeCERN Engineering CERN Marian, Adela IASS Chervyakov, Alexander IASS Stückrad, Stefan IASS Salmieri, Delia CERN Rubbia, Carlo IASS CERN 59-72 Renew. Sustain. Energy Rev. 55 2016 1318016 1880409 http://cds.cern.ch/record/2267162/files/1-s2.0-S136403211501120X-main.pdf 1318016 154577 http://cds.cern.ch/record/2267162/files/1-s2.0-S136403211501120X-main.jpg?subformat=icon-700 icon-700 1318016 2583639 http://cds.cern.ch/record/2267162/files/1-s2.0-S136403211501120X-main.pdf?subformat=pdfa pdfa 1318016 2664 http://cds.cern.ch/record/2267162/files/1-s2.0-S136403211501120X-main.gif?subformat=icon icon 1318016 5229 http://cds.cern.ch/record/2267162/files/1-s2.0-S136403211501120X-main.jpg?subformat=icon-180 icon-180 13 ARTICLE 2275013 SzGeCERN 20190312185917.0 DOI Elsevier 10.1016/j.nima.2016.04.067 oai:inspirehep.net:1513557 cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d 2017-07-19T04:00:05Z marcxml oai:inspirehep.net:1513557 2017-07-18T16:36:34Z Inspire 1513557 eng Capeans, M CERN Elsevier Strategies for reducing the environmental impact of gaseous detector operation at the CERN LHC experiments 2017 4 p Elsevier A wide range of gas mixtures is used for the operation of different gaseous detectors at the Large Hadron Collider (LHC) experiments. Nowadays some of these gases, as $C_2H_2F_4 , CF_4$ and $SF_6$ , are indicated as greenhouse gases (GHG) and dominate the overall GHG emission from particle detectors at the LHC experiments. The release of GHG is an important subject for the design of future particle detectors as well as for the operation of the current experiments. Different strategies have been adopted at CERN for reducing the GHG emissions. The standard approach is the recirculation of the gas mixture with complex gas systems where system stability and the possible accumulation of impurities need to be attentively evaluated for the good operation and safety of the detectors. A second approach is based on the recuperation of the gas mixture exiting the detectors and the separation of its gas components for re-use. At long-term, the use of less invasive gases is being investigated, especially for the Resistive Plate Chamber (RPC) systems. Operation of RPC with environmentally friendly gas mixtures is demonstrated for streamer mode while avalanche mode operation needs more complex gas mixtures. Elsevier B.V. SzGeCERN Detectors and Experimental Techniques author Gaseous detectors author Gas system author Greenhouse gases author Resistive Plate Chamber author HFO author Environmentally friendly gas mixtures CERN CERN LHC Guida, R CERN Mandelli, B INSPIRE-00356594 CERN 253-256 C16-02-15 2017 Nucl. Instrum. Methods Phys. Res., A 845 13 2128392 vienna20160215 253-256 ARTICLE ConferencePaper 2274480 SzGeCERN 20180123114849.0 DOI Springer 10.1140/epjst/e2017-70071-y oai:inspirehep.net:1606514 cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1606514 2017-07-14T15:35:11Z 2017-07-15T04:00:08Z marcxml Inspire 1606514 eng 72 p Springer Neutrinos, and in particular their tiny but non-vanishing masses, can be considered one of the doors towards physics beyond the Standard Model. Precision measurements of the kinematics of weak interactions, in particular of the$^{3}$H β-decay and the$^{163}$Ho electron capture (EC), represent the only model independent approach to determine the absolute scale of neutrino masses. The electron capture in$^{163}$Ho experiment, ECHo, is designed to reach sub-eV sensitivity on the electron neutrino mass by means of the analysis of the calorimetrically measured electron capture spectrum of the nuclide$^{163}$Ho. The maximum energy available for this decay, about 2.8 keV, constrains the type of detectors that can be used. Arrays of low temperature metallic magnetic calorimeters (MMCs) are being developed to measure the$^{163}$Ho EC spectrum with energy resolution below 3 eV FWHM and with a time resolution below 1 μs. To achieve the sub-eV sensitivity on the electron neutrino mass, together with the detector optimization, the availability of large ultra-pure$^{163}$Ho samples, the identification and suppression of background sources as well as the precise parametrization of the$^{163}$Ho EC spectrum are of utmost importance. The high-energy resolution$^{163}$Ho spectra measured with the first MMC prototypes with ion-implanted$^{163}$Ho set the basis for the ECHo experiment. We describe the conceptual design of ECHo and motivate the strategies we have adopted to carry on the present medium scale experiment, ECHo-1K. In this experiment, the use of 1 kBq$^{163}$Ho will allow to reach a neutrino mass sensitivity below 10 eV/c$^{2}$. We then discuss how the results being achieved in ECHo-1k will guide the design of the next stage of the ECHo experiment, ECHo-1M, where a source of the order of 1 MBq$^{163}$Ho embedded in large MMCs arrays will allow to reach sub-eV sensitivity on the electron neutrino mass. SzGeCERN Nuclear Physics - Experiment CERN ECHO Gastaldo, L Kirchhoff Inst. Phys. Springer The electron capture in $^{163}$Ho experiment – ECHo 2017 Blaum, K Heidelberg, Max Planck Inst. Chrysalidis, K Mainz U., Inst. Phys. Day Goodacre, T CERN Domula, A Dresden, Tech. U. Door, M Heidelberg, Max Planck Inst. Dorrer, H Mainz U., Inst. Kernphys. PSI, Villigen Bern U. Laboratory of Radiochemistry and Environmental Chemistry - Department Biology and Chemistry - Paul Scherrer Institute - Villigen PSI - Switzerland Düllmann, Ch E Mainz U., Inst. Kernphys. Darmstadt, GSI Helmholtz Inst., Mainz GSI Helmholtzzentrum für Schwerionenforschung - Darmstadt - Germany Eberhardt, K Mainz U., Inst. Kernphys. Helmholtz Inst., Mainz Helmholtz Institute Mainz - Mainz - Germany Eliseev, S Heidelberg, Max Planck Inst. Enss, C Kirchhoff Inst. Phys. Faessler, A Tubingen U. Filianin, P Heidelberg, Max Planck Inst. Fleischmann, A Kirchhoff Inst. Phys. Fonnesu, D Kirchhoff Inst. Phys. Gamer, L Kirchhoff Inst. Phys. Haas, R Mainz U., Inst. Kernphys. Hassel, C Kirchhoff Inst. Phys. Hengstler, D Kirchhoff Inst. Phys. Jochum, J Tubingen U. Johnston, K CERN Kebschull, U Goethe U., Frankfurt (main) Kempf, S Kirchhoff Inst. Phys. Kieck, T Mainz U., Inst. Phys. Mainz U., Inst. Kernphys. Institute for Nuclear Chemistry - Johannes Gutenberg U. - Mainz - Germany Köster, U Laue-Langevin Inst. Lahiri, S Saha Inst. Maiti, M IIT, Roorkee Mantegazzini, F Kirchhoff Inst. Phys. Marsh, B CERN Neroutsos, P Goethe U., Frankfurt (main) Novikov, Yu N Heidelberg, Max Planck Inst. St. Petersburg, INP St. Petersburg State U. Petersburg Nuclear Physics Institute - Gatchina - Russia Ranitzsch, P C O Kirchhoff Inst. Phys. Rothe, S CERN Rischka, A Heidelberg, Max Planck Inst. Saenz, A Humboldt U., Berlin Sander, O KIT, Karlsruhe, IPE Schneider, F Mainz U., Inst. Phys. Mainz U., Inst. Kernphys. Institute for Nuclear Chemistry - Johannes Gutenberg U. - Mainz - Germany Scholl, S Tubingen U. Schüssler, R X Heidelberg, Max Planck Inst. Schweiger, Ch Heidelberg, Max Planck Inst. Simkovic, F Comenius U. Stora, T CERN Szücs, Z MTA-DE, Debrecen Türler, A PSI, Villigen Bern U. Laboratory of Radiochemistry U. and Environmental Chemistry - Department of Chemistry U. and Biochemistry - Bern - Freiestrasse 3 - Bern - Switzerland Veinhard, M CERN Weber, M KIT, Karlsruhe, IPE Wegner, M Kirchhoff Inst. Phys. Wendt, K Mainz U., Inst. Phys. Zuber, K Dresden, Tech. U. 1623-1694 8 Eur. Phys. J. Spec. Top. 226 2017 13 ARTICLE 2272815 SzGeCERN 20210421210917.0 9788876426063 print version 9788876426070 electronic version electronic version DOI 10.1007/978-88-7642-607-0 ebook oai:cds.cern.ch:2272815 cerncds:BOOK eng QA370-380 23 515.353 Colombo, Maria Flows of non-smooth vector fields and degenerate elliptic equations with applications to the Vlasov-Poisson and semigeostrophic systems Pisa Springer 2017 ebook Publications of the Scuola Normale Superiore. Theses 22 An overview on flows of vector fields and on optimal transport -- Maximal regular flows for non-smooth vector fields -- Main properties of maximal regular flows and analysis of blow-up -- Lagrangian structure of transport equations -- The continuity equation with an integrable damping term -- Regularity results for very degenerate elliptic equations -- An excess-decay result for a class of degenerate elliptic equations -- The Vlasov-Poisson system -- The semigeostrophic system. . The first part of the book is devoted to the transport equation for a given vector field, exploiting the lagrangian structure of solutions. It also treats the regularity of solutions of some degenerate elliptic equations, which appear in the eulerian counterpart of some transport models with congestion. The second part of the book deals with the lagrangian structure of solutions of the Vlasov-Poisson system, which describes the evolution of a system of particles under the self-induced gravitational/electrostatic field, and the existence of solutions of the semigeostrophic system, used in meteorology to describe the motion of large-scale oceanic/atmospheric flows. Mathematics and statistics SPR201707 SzGeCERN Mathematical Physics and Mathematics SPR Geophysics SPR Geophysics and Environmental Physics BOOK 201707 SPR n 201727 21 PUBLIC https://catalogue.library.cern/legacy/2272815 BOOK MIGRATED 2272790 SzGeCERN 20210421210923.0 9781493971978 print version 9781493971992 electronic version electronic version DOI 10.1007/978-1-4939-7199-2 ebook oai:cds.cern.ch:2272790 cerncds:BOOK eng QA76.6-76.66 005.11 23 Sergeyev, Yaroslav D Deterministic global optimization an introduction to the diagonal approach New York, NY Springer 2017 ebook SpringerBriefs in optimization 2190-8354 1. Lipschitz global optimization -- 2. One-dimensional algorithms and their accleration -- 3. Diagonal approach and efficient paritioning strategies -- 4. Global optimization algorithms based on the non-redundant partitions -- References. . This book begins with a concentrated introduction into deterministic global optimization and moves forward to present new original results from the authors who are well known experts in the field. Multiextremal continuous problems that have an unknown structure with Lipschitz objective functions and functions having the first Lipschitz derivatives defined over hyperintervals are examined. A class of algorithms using several Lipschitz constants is introduced which has its origins in the DIRECT (DIviding RECTangles) method. This new class is based on an efficient strategy that is applied for the search domain partitioning. In addition a survey on derivative free methods and methods using the first derivatives is given for both one-dimensional and multi-dimensional cases. Non-smooth and smooth minorants and acceleration techniques that can speed up several classes of global optimization methods with examples of applications and problems arising in numerical testing of global optimization algorithms are discussed. Theoretical considerations are illustrated through engineering applications. Extensive numerical testing of algorithms described in this book stretches the likelihood of establishing a link between mathematicians and practitioners. The authors conclude by describing applications and a generator of random classes of test functions with known local and global minima that is used in more than 40 countries of the world. This title serves as a starting point for students, researchers, engineers, and other professionals in operations research, management science, computer science, engineering, economics, environmental sciences, industrial and applied mathematics to obtain an overview of deterministic global optimization. . Mathematics and statistics SPR201707 SzGeCERN Mathematical Physics and Mathematics SPR Computer science SPR Computer programming SPR Computer mathematics SPR Mathematical optimization SPR Computer Science SPR Programming Techniques SPR Optimization SPR Mathematics of Computing SPR Mathematical Applications in Computer Science BOOK Kvasov, Dmitri E SPR n 201727 201707 21 PUBLIC https://catalogue.library.cern/legacy/2272790 BOOK MIGRATED 2272660 SzGeCERN 20210421210927.0 9789811040764 print version 9789811040771 electronic version electronic version DOI 10.1007/978-981-10-4077-1 ebook oai:cds.cern.ch:2272660 cerncds:BOOK eng TA703-705.4 TA775-787 TC1-1800 624.15 23 Geoenvironmental practices and sustainability linkages and directions Singapore Springer 2017 ebook Developments in geotechnical engineering 2364-5156 Geophysical Imaging of Landfill Interiors: Examples from Northern Illinois, USA -- Evolution of Municipal Solid Waste Shear Strength Parameters with Biodegradation – A Large-Scale Laboratory Study -- Environmental Benign Electrokinetics for Landslides Mitigation -- Recent Advances in Seismic Design of MSW Landfill Considering Stability -- Dynamic properties of Municipal Solid Waste and Amplification of Landfill site -- A Methodology for Load Resistance Factor Design (LRFD) for MSW Landfill Slopes -- Rehabilitation and Expansion of Operational Municipal Solid Waste (MSW) Dumps of India -- Surface Charge Properties and Particle Size Analysis of Red Mud Waste from Zeta Potential Measurements -- Sustainable Management of Dredged Sediments and Waste Using Geotextile Tube Dewatering System -- Site Characterization of Landfills through In-Situ Testing -- Effective Management of Aged Stockpiled Solid Wastes in India -- Advances in Raman Spectroscopy for the Geoenvironment -- Sustainable Design of Monopile Supported Offshore Wind Turbine Considering Climate Change -- Axial Stress Distribution in Geothermal Energy Pile Group in Sand -- Importance of Non-stationarity in Sustainability and Resilience of Geo-Infrastructure -- Reliability based sustainable design of piled-raft supported structure -- Quality Control and Quality Assurance for Large Infrastructure Projects -- Risk Management: Challenges and Practice for U.S. Dam and Levee Safety -- Energy Geotechnics – Towards a Sustainable Energy Future -- Performance evaluation of coal ash-based barrier based landfill covers subjected to flexural distress -- Sustainability analysis of the Vertical Barriers based on Energy and Carbon Assessment for leachate containment -- Geotechnical Characterization and Performace Assessment of Organo clay Enhanced Bentonie Mixtures for Use in Sustainable Barriers -- Observations of Field Condition of an Exposed Geosynthetics Liner System -- Advances in Bentonite-Based Containment Barriers.-Feasibility Study of Sand–Tire Chips Mixtures as Backfill Material in Retaining Walls -- Shredded Waste Tires as a Geomaterial -- Strength Characteristics of Geopolymer Fly ash Stabilized Reclaimed Asphalt Pavement Base Courses -- Sustainable Waste Management Using MSE Berms at Disposal Sites -- Heavy Metal Removal by Aquatic Plants and Its Disposal by Using As a Concrete Ingredient -- Human Health Risk Based Sustainable Management For A Contaminated Site -A Case Study -- Coupled Hydro-Bio-Mechanical Modeling of Bioreactor Landfills: New Modeling Framework and Research Challenges -- Electromagnetic Enhancement of Microbially-Induced Calcite Precipitation. This volume is a compilation on issues related to sustainable practices in geo-environmental engineering, particularly as applying to developing nations such as India. While, the developed world has already developed some solutions such as landfills, developments in landfills, barriers and liners in the North America and waste-to-energy and waste incineration in Europe, developing countries like India are trying to figure out ways which suit the present condition without compromising the future needs and comforts. This volume presents case studies on the various problems and solutions adopted for different sites. Although a common approach for all the problems is not feasible or recommend, this collection aims to provide a compendium on the current efforts underway and to help achieve common ground for the practitioners and researchers involved. The works included here give insight to the possible development of resilient and sustainable structures (like offshore wind turbines) and energy geotechnics. The book covers topics such as liners and barrier systems, use of recycled and waste materials, waste management and hazard assessment, sustainable infrastructure, and sustainability and the environment. The contents of this book will be useful to researchers and professionals working in geo-environmental engineering. The book will also be useful to policy makers interested in understanding geotechnical concerns related to sustainable development. . Engineering SPR201707 SzGeCERN Engineering SPR Waste management SPR Sustainable development SPR Sustainable Development SPR Waste ManagementWaste Technology BOOK Babu, GL ed. Reddy, Krishna ed. De, Anirban ed. Datta, Manoj ed. SPR n 201727 201707 21 PUBLIC https://catalogue.library.cern/legacy/2272660 BOOK MIGRATED 2280590 SzGeCERN 20210421210522.0 352734134X print version, hardback 9783527341344 print version, hardback oai:cds.cern.ch:2280590 cerncds:BOOK eng 620.3 537.6 Magnetic nanomaterials undamentals, synthesis and applications Weinheim Wiley-VCH 2017 574 p paper Timely and comprehensive, this book presents recent advances in magnetic nanomaterials research, covering the latest developments, including the design and preparation of magnetic nanoparticles, their physical and chemical properties as well as their applications in different fields, including biomedicine, magnetic energy storage, wave–absorbing and water remediation. By allowing researchers to get to the forefront developments related to magnetic nanomaterials in various disciplines, this is invaluable reading for the nano, magnetic, energy, medical, and environmental communities. SzGeCERN Engineering BOOK Hou, Yanglong ed. Sellmyer, David J ed. CERN Central Library 620.3 HOU 201709 h 201733 21 https://catalogue.library.cern/legacy/2280590 BOOK MIGRATED 2279912 SzGeCERN 20210421210522.0 9781351649278 electronic version electronic version 9781498761482 electronic version electronic version 9781498761482 print version oai:cds.cern.ch:2279912 cerncds:BOOK EBL 4910076 eng 621.36 Ahmad, Anees Handbook of optomechanical engineering 2nd ed. Portland, OR CRC Press 2017 594 p ebook Optical sciences and applications of light Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Dedication -- Table of Contents -- Foreword -- Preface -- Editor -- Contributors -- Chapter 1: Optomechanical Engineering Basics -- 1.1 INTRODUCTION -- 1.1.1 What Is Optomechanics? -- 1.1.2 Role of Optomechanical Design and Its Significance -- 1.2 GEOMETRIC OPTICS FUNDAMENTALS -- 1.2.1 Basic Terminology -- 1.2.2 Graphical Tools in Geometrical Optics and System Layouts -- 1.2.2.1 Image Position and Magnification -- 1.2.2.2 Amount of Light through a Lens System -- 1.2.3 Additional CAD Techniques for Design and Ray Tracing -- 1.3 DRAWINGS OF OPTICAL COMPONENTS AND SYSTEMS -- 1.3.1 Units of Measurement -- 1.3.2 ISO and ANSI Drafting Standards -- 1.3.2.1 Mechanical Drawing Standards -- 1.3.2.2 Optical Drawing Standards -- 1.4 DIMENSIONAL TOLERANCES AND ERROR BUDGETS -- 1.4.1 Effect of Tolerances on Cost -- 1.4.1.1 Interactions of Lenses and Mounts -- 1.4.2 Allocation of Tolerances -- 1.4.2.1 Assigning Tolerances-An Example -- 1.4.3 Current Trends in Tolerancing -- 1.5 ENVIRONMENTAL EFFECTS -- 1.5.1 Survivability under Temperature, Vibration, and Shock Loads -- 1.5.2 Humidity, Corrosion, Contamination -- 1.5.3 Environmental Testing Standards -- 1.5.3.1 ISO 10109:2015-Guidance for the Selection of Environmental Tests -- 1.5.4 Summary of Environmental Effects -- REFERENCES -- Chapter 2: Optomechanical Design Principles -- 2.1 Introduction -- 2.2 Service Environments -- 2.3 Inertial Deflection -- 2.3.1 Lens Self-Weight Deflection -- 2.3.2 Mirror Self-Weight Deflection -- 2.4 Thermal Effects -- 2.4.1 Minimizing Thermal Gradient Effects -- 2.4.2 Maintaining Alignment -- 2.4.3 Maintaining Focus -- 2.5 Minimizing Mounting Effects -- 2.5.1 Kinematics -- 2.5.2 Semikinematics -- References -- Chapter 3: Materials for Optical Systems -- 3.1 Introduction -- 3.2 Applications -- 3.2.1 Refractors. 3.2.2 Reflectors -- 3.2.3 Structural Optical Metering Components -- 3.2.4 Adhesives and Cements -- 3.3 Material Properties -- 3.3.1 Important Properties and Figures of Merit -- 3.3.1.1 Physical -- 3.3.1.2 Mechanical -- 3.3.1.3 Thermal -- 3.3.1.4 Optical -- 3.3.2 Typical Requirements -- 3.3.3 Dimensional Stability -- 3.3.3.1 Types of Instability -- 3.3.3.2 Sources of Dimensional Change -- 3.3.4 Changes in Internal Stress -- 3.3.5 Microstructural Changes -- 3.3.6 Inhomogeneity/Anisotropy of Properties -- 3.3.7 Promoting Dimensional Stability -- 3.3.7.1 Refractive Materials -- 3.3.7.2 Adhesives and Cements -- 3.4 Summary -- References -- Chapter 4: Mirror Materials -- 4.1 Introduction -- 4.2 Glass -- 4.2.1 Fabrication Methods for Glass Mirrors -- 4.3 Ceramics -- 4.3.1 Zerodur -- 4.3.1.1 Fabrication -- 4.3.2 Silicon Carbide -- 4.3.2.1 Fabrication -- 4.4 Silicon -- 4.4.1 Fabrication -- 4.5 Metals for Mirrors -- 4.5.1 Aluminum -- 4.5.1.1 Fabrication -- 4.5.2 Beryllium -- 4.5.2.1 Fabrication -- 4.5.3 Invar™ -- 4.5.3.1 Fabrication -- 4.5.4 Other Metals -- 4.5.4.1 Fabrication -- 4.5.5 Nickel Cladding -- 4.5.5.1 Fabrication -- 4.6 Composite Materials -- 4.6.1 Polymer Matrix Composite -- 4.6.1.1 Fabrication -- 4.6.2 Metal Matrix Composites -- 4.6.2.1 Fabrication -- 4.6.3 Carbon Matrix Composite -- 4.6.4 Ceramic Matrix Composite -- 4.6.5 Multimaterial Structural Systems -- 4.6.5.1 Fabrication -- 4.7 Material Properties -- 4.8 Summary -- References -- Chapter 5: Plastic Optics -- 5.1 Introduction -- 5.2 Materials -- 5.2.1 Thermosets -- 5.2.2 Thermoplastics -- 5.2.3 Properties of Optical Thermoplastics -- 5.2.4 Material Selection and Specification -- 5.3 Manufacturing Methods -- 5.3.1 Casting -- 5.3.2 Machining -- 5.3.3 Embossing -- 5.3.4 Compression Molding -- 5.3.5 Additive Manufacturing -- 5.3.6 Injection Molding -- 5.4 Design Guidelines -- 5.4.1 Thickness. 5.4.2 Aspheric Surfaces -- 5.4.3 Shape -- 5.4.4 Diffractive Surfaces -- 5.4.5 Coatings -- 5.4.6 Optomechanical Design -- 5.4.7 Stray Light -- 5.4.8 Tolerances -- 5.5 Plastic Optic Analyses -- 5.5.1 Molding Analysis -- 5.5.2 Machining Analysis -- 5.5.3 Thermal Analysis -- 5.5.4 Tolerance Analysis -- 5.5.5 Deformation/Stress Analysis -- 5.5.6 Stray Light Analysis -- 5.6 Mounting and Assembly -- 5.7 Summary -- Additional Resources -- Chapter 6: Lightweight Mirror Design -- 6.1 Introduction -- 6.2 Figures of Merit -- 6.3 Estimating Mirror Mass -- 6.4 Mirror Self-Weight Deflection -- 6.5 Contoured Back Mirrors -- 6.6 Sandwich Mirrors -- 6.7 Open-Back Mirrors -- References -- Chapter 7: Optomechanical Tolerancing and Error Budgets -- 7.1 Introduction -- 7.2 Definition of Lens Positioning Error -- 7.3 Tolerancing Process -- 7.3.1 Optical Component Reference Features -- 7.3.2 Optomechanical Mounting vs Optical Simulations -- 7.3.3 Integrated Tolerance Analysis -- 7.4 Tolerance Model -- 7.4.1 Mounting Interface Positioning Error Calculation -- 7.4.2 Lens Positioning Error Calculation -- 7.4.2.1 Radial Clearance -- 7.4.2.2 Lens Wedge -- 7.4.2.3 Lens Mounted on Nonoptical Surface -- 7.4.2.4 Lens Roll -- 7.4.2.5 Barrel Manufacturing Error -- 7.4.2.6 Aspheric Lens -- 7.4.2.7 Lens Positioning Error for Assembly Using Spacer -- 7.4.2.8 Axial Distance between Optical Surfaces -- 7.4.2.9 Lens Centering Errors Considering All Contributors -- 7.4.3 Mirrors, Windows, Filters, and Prisms Positioning Error Calculation -- 7.4.3.1 Spherical Mirror -- 7.4.3.2 Planar Mirror, Window, Filter, and Prism -- 7.5 Optomechanical Tolerance Analysis -- 7.5.1 Optomechanical Statistical Tolerancing -- 7.5.2 Manufacturing Process Capability -- 7.5.3 Effect of Tolerance on Cost -- 7.5.4 Tolerance Allocation -- 7.6 Optomechanical Tolerance Analysis Example -- 7.6.1 Lens 1 Centering. 7.6.2 Lens 1 Tilt -- 7.6.3 Air Gap between Lens 1 Surface 2 and Lens 2 Surface 1 -- 7.6.4 Lens 2 Centering -- 7.6.5 Lens 2 Tilt -- 7.6.6 Air Gap between Lens 2 Surface 2 and Lens 3 Surface 1 -- 7.6.7 Lens 3 Centering -- 7.6.8 Lens 3 Tilt -- 7.6.9 Air Gap between Lens 3 Surface 2 and Lens 4 Surface 1 -- 7.6.10 Lens 4 Centering -- 7.6.11 Lens 4 Tilt -- 7.6.12 Air Gap between Lens 4 Surface 2 and Barrel Assembly Mounting Datum -- References -- Chapter 8: Optical Mounts -- 8.1 Introduction -- 8.2 Interaction between Lenses and Mounts -- 8.2.1 Bell Clamping Method for Lens Manufacturing -- 8.2.2 Optomechanical Surface Contact Lens Mounting -- 8.2.3 Centering of Lens Surface in Contact with Barrel Seat -- 8.2.4 Centering of Lens Surface in Contact with Threaded Ring -- 8.2.5 Lens Autocentering -- 8.3 Mounting Lenses -- 8.3.1 Low-Precision Mounts -- 8.3.1.1 Spring Suspension -- 8.3.1.2 Interference-Fit Ring -- 8.3.1.3 Snap Ring -- 8.3.1.4 Burnished Cell -- 8.3.2 Retaining Ring Mounts -- 8.3.2.1 Threaded Ring -- 8.3.2.2 Clamping (Flange) Ring -- 8.3.2.3 Techniques for Distributing Preload -- 8.3.2.4 Sealing Techniques -- 8.3.3 Axial Stress at Single-Element Interfaces -- 8.3.3.1 General Considerations -- 8.3.3.2 "Sharp Corner" Interface -- 8.3.3.3 Tangential Interface -- 8.3.3.4 Toroidal Interface -- 8.3.3.5 Spherical Interface -- 8.3.3.6 Flat and Step Bevel Interfaces -- 8.3.3.7 Parametric Comparisons of Interface Types -- 8.3.3.8 Stress Variation with Surface Radius -- 8.3.3.9 Stress Variation with Preload -- 8.3.3.10 Effects of Changing Materials -- 8.3.3.11 Rate of Change of Preload with Temperature -- 8.3.3.12 Growth of Axial Clearance at Increased Temperature -- 8.3.3.13 Preload and Stress at Low Temperature -- 8.3.3.14 Bending Stress Due to Preload -- 8.3.4 Axial Stress at Multiple-Element Interfaces -- 8.3.4.1 Cemented Doublet. 8.3.4.2 Air-Spaced Doublet -- 8.3.4.3 General Formulation for Multiple Elements -- 8.3.5 Radial Stress -- 8.3.5.1 Radial Stress in Single Elements -- 8.3.5.2 Tangential Hoop Stress within the Cell Wall -- 8.3.5.3 Radial Stress within Multiple Elements -- 8.3.5.4 Radial Forces Resulting from Axial Preload -- 8.3.5.5 Growth of Radial Clearance at Increased Temperature -- 8.3.6 Elastomeric Suspension Interfaces: A Typical Configuration -- 8.3.6.1 First-Order Thermal Effects -- 8.3.6.2 Gravity and Acceleration Effects -- 8.4 Lens Assemblies -- 8.4.1 Drop-In Assembly -- 8.4.2 "Lathe" Assembly -- 8.4.3 Subcell Assembly -- 8.4.4 Modular Assembly -- 8.4.5 Elastomeric Assembly -- 8.4.6 Operational Motions of Lenses -- 8.4.7 Sealing Considerations -- 8.5 Mounts for Windows, Filters, Shells, and Domes -- 8.5.1 General Considerations -- 8.5.2 Examples of Simple Window and Filter Mounts -- 8.5.3 Example of a Larger Window Mount -- 8.5.4 Examples of Shell and Dome Mounts -- 8.5.5 Pressure Differential Effects -- 8.5.6 Thermal Effects -- 8.6 Mounts for Small Mirrors -- 8.6.1 Clamped Mounts -- 8.6.2 Bonded Mounts -- 8.6.3 Flexure Mounts -- 8.6.4 Single-Point Diamond-Turned Mirrors and Mounts -- 8.7 Mounts for Prisms -- 8.7.1 Clamped Mounts -- 8.7.1.1 Kinematic and Semikinematic Techniques -- 8.7.1.2 Nonkinematic Techniques -- 8.7.2 Bonded Mounts -- 8.7.2.1 Examples of Cantilevered Techniques -- 8.7.2.2 Examples of Multiple Support Techniques -- 8.7.3 Flexure Mounts -- References -- Chapter 9: Adjustment Mechanisms -- 9.1 Introduction -- 9.2 Types of Adjustment Mechanisms -- 9.3 Linear Adjustment Mechanisms -- 9.3.1 General Description -- 9.3.2 Interfaces for Linear Mechanisms -- 9.3.2.1 Hydrostatic Bearings for Linear Mechanisms -- 9.3.2.2 Flexures for Linear Mechanisms -- 9.3.3 Actuators for Linear Mechanisms -- 9.3.3.1 Motorized Actuators. 9.3.3.2 Manual Actuators. EBL201708 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4910076 ebook n 201732 201708 21 PUBLIC https://catalogue.library.cern/legacy/2279912 BOOK MIGRATED 2279887 SzGeCERN 20210421210525.0 9781783300280 electronic version electronic version 9781856049405 electronic version electronic version 9781856049405 print version oai:cds.cern.ch:2279887 cerncds:BOOK EBL 4923765 eng 025.1 Maclennan, Alan Information governance and assurance reducing risk, promoting policy London Facet Publishing 2014 208 p ebook Title page -- Contents -- Acknowledgements -- Acronyms and abbreviations -- Glossary of terms -- CHAPTER 1 Introduction -- Rationale -- Data and information -- Information as an asset -- Where is our information? -- Threats -- Standards, frameworks and a framework for information governance and assurance -- Policy -- Assurance -- How to use this book -- CHAPTER 2 The laws and regulations -- Introduction -- A standard for records -- The Information Commissioner's Office -- The Freedom of Information Act 2000 -- Data protection -- Environmental Information Regulations (EIR) -- Policy -- The role of the information professional -- Discussion points -- Conclusion -- References -- CHAPTER 3 Data quality management -- Introduction -- What is data quality? -- Dimensions of data quality -- A different perspective -- Example -- Data quality tools -- Products versus processes -- Data silos -- Master data management (MDM) -- Single customer view -- Further library examples -- Data quality policy/strategy -- The role of the information professional in data quality management -- Discussion points -- Conclusion -- References -- CHAPTER 4 Dealing with threats -- Introduction -- Internal threats -- External threats -- Policy -- Exercise -- Conclusion -- References -- CHAPTER 5 Security, risk management and business continuity -- Introduction -- The security environment -- Strategy and tactics -- Standards - the ISO 27000 series -- Practical measures -- Risk management -- Business continuity management (BCM) -- Policy -- Exercises -- Conclusion -- References -- CHAPTER 6 Frameworks, policies, ethics and how it all fits together -- Introduction -- Moving from standards to frameworks -- The information governance and assurance framework in operation -- Ethics -- The role of the information professional in the information governance and assurance framework. Discussion points -- Conclusion -- References -- Discussion points and exercises -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5 -- Chapter 6 -- Index. This comprehensive textbook discusses the legal, organizational and ethical aspects of information governance, assurance and security and their relevance to all aspects of information work. EBL201708 Information Transfer and Management SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4923765 ebook n 201732 201708 21 PUBLIC https://catalogue.library.cern/legacy/2279887 BOOK MIGRATED 2279882 SzGeCERN 20210421210526.0 9781118637241 electronic version electronic version 9781118637241 print version 9781118700259 electronic version electronic version oai:cds.cern.ch:2279882 cerncds:BOOK EBL 4923313 eng 621.8/9 Khonsari, Michael M Applied tribology bearing design and lubrication 3rd ed. Newark, NJ John Wiley & Sons 2017 672 p ebook Tribology series (Wiley) Applied Tribology -- Contents -- Series Preface -- Preface: Third Edition -- Preface: Second Edition -- About the Companion Website -- Part I General Considerations -- 1 Tribology - Friction, Wear, and Lubrication -- 1.1 History of Tribology -- Friction -- Wear -- Bearing Materials -- Lubricants -- Fluid-Film Bearings -- Rolling Element Bearings -- Nanotribology and Surface Effects -- 1.2 Tribology Principles -- Dry Sliding -- Fluid-Film Lubrication -- Elastohydrodynamic Lubrication (EHL) -- Boundary Lubrication -- 1.3 Principles for Selection of Bearing Types -- Mechanical Requirements -- Environmental Conditions -- Economics -- 1.4 Modernization of Existing Applications -- 1.5 A Look Ahead -- Dry and Semilubricated Bearings -- Ball and Roller Bearings -- Fluid-Film Bearings -- References -- 2 Lubricants and Lubrication -- 2.1 Mineral Oils -- 2.2 Synthetic Oils -- 2.3 Viscosity -- Viscosity Classifications -- Viscosity-Temperature Relations -- Viscosity-Pressure Relations -- EHL Pressure-Viscosity Coefficients -- 2.4 Free Volume Viscosity Model -- 2.5 Density and Compressibility -- 2.6 Thermal Properties -- 2.7 Non-Newtonian Lubricants -- Viscoelastic Effect -- 2.8 Oil Life -- 2.9 Greases -- Oils in Greases -- Thickeners -- Mechanical Properties -- 2.10 Solid Lubricants -- 2.11 Lubricant Supply Methods -- Self-Contained Units -- Circulating Oil Systems -- Centralized Lubrication Systems -- References -- 3 Surface Texture, Interaction of Surfaces and Wear -- 3.1 Geometric Characterization of Surfaces -- 3.2 Surface Parameters -- Amplitude Parameters -- Spacing and Shape Parameters -- Hybrid Parameters -- 3.3 Measurement of Surface Texture -- Contacting Methods -- Noncontacting Methods -- 3.4 Measurement of Surface Flatness -- 3.5 Statistical Descriptions -- 3.6 Surface Texture Symbols -- 3.7 Contact Between Surfaces. Micro-Contact Considerations: Deformation of Single Asperity -- Contact of a Rough Flat Surface and a Smooth Flat Surface (Greenwood and Williamson-Based Models) -- Contact of Two Rough Surfaces -- Relationship Between Surface Features and GW Parameters -- The Asperity Plasticity Index -- Contact of Curved Surfaces -- 3.8 Temperature Rise in Sliding Surfaces -- 3.9 Lubrication Regime Relation to Surface Roughness -- 3.10 Friction -- 3.11 Wear -- Adhesive Wear -- Prediction of Adhesive Wear -- Derivation and Interpretation of Archards Adhesive Wear Equation -- Physical Meaning of the Wear Coefficient in Adhesive Wear -- The Fatigue Theory of Adhesive Wear -- Interpretation of Wear Coefficient by Fatigue Analysis -- The Delamination Theory of Wear -- Interpretation of the Wear Coefficient by the Delamination Theory -- Abrasive Wear -- Abrasive Wear Rate and Abrasive Wear Coefficient -- Corrosive Wear -- Surface Fatigue, Brittle Fracture, Impact, Erosion -- Thermodynamics of Wear -- Classification of Wear, Failure, and Wear Maps -- Dry Bearing Wear Life -- Lubricated Wear -- General Progression of Wear -- Effect of Load and Speed in Bearings -- Means of Wear Reduction -- References -- 4 Bearing Materials -- 4.1 Distinctive Material Selection Factors -- Compatibility -- Embedability and Conformability -- Strength -- Corrosion Resistance -- Thermal Properties -- 4.2 Oil-Film Bearing Materials -- Babbitts -- Copper Alloys -- Aluminum -- Cast Iron and Steel -- Silver -- Zinc -- 4.3 Dry and Semilubricated Bearing Materials -- Plastics -- Carbon-Graphite -- Rubber -- Wood -- 4.4 Air Bearing Materials -- Foil Air Bearings -- Air Lifts -- Computer Hard Disk Drives -- 4.5 High-Temperature Materials -- 4.6 Rolling Bearing Materials -- Polycrystalline Diamond (PCD) -- References -- Part II Fluid-Film Bearings -- 5 Fundamentals of Viscous Flow. 5.1 General Conservation Laws -- 5.2 Conservation of Mass -- Cartesian Coordinates -- Cylindrical Coordinates -- 5.3 Conservation of Momentum -- Newtonian Fluids -- 5.4 Conservation of Energy -- 5.5 Petroff's Formula -- 5.6 Viscometers -- Capillary Tube Viscometer -- Rotational Viscometers -- 5.7 Nondimensionalization of Flow Equations -- 5.8 Nondimensionalization of the Energy Equation -- 5.9 Order-of-Magnitude Analysis -- Comparison of Inertia Terms and Viscous Terms -- Contribution of Gravity -- Contribution of the Pressure Term -- Comparison of Pressure and Viscous Forces -- References -- 6 Reynolds Equation and Applications -- 6.1 Assumptions and Derivations -- Navier-Stokes Equations -- Boundary Conditions -- Conservation of Mass -- General Reynolds Equation -- Standard Reynolds Equation -- Cylindrical Coordinates -- 6.2 Turbulent Flows -- 6.3 Surface Roughness -- 6.4 Nondimensionalization -- 6.5 Performance Parameters -- 6.6 Limiting Cases and Closed-Form Solutions -- A Simplified Form of Reynolds Equation for Steady Film -- 6.7 Application: Rayleigh Step Bearing -- Optimization of Load-Carrying Capacity -- Optimization of Load-Carrying Capacity -- 6.8 Numerical Method -- References -- 7 Thrust Bearings -- 7.1 Thrust Bearing Types -- 7.2 Design Factors -- 7.3 Performance Analysis -- 7.4 Tapered-Land Thrust Bearings -- Temperature Rise -- 7.5 Pivoted-Pad Thrust Bearings -- 7.6 Step Thrust Bearings -- 7.7 Spring-Mounted Thrust Bearings -- 7.8 Flat-Land Thrust Bearings -- 7.9 Maximum Bearing Temperature Based on Thermohydrodynamic Analysis -- 7.10 Parasitic Power Losses -- 1. Through-Flow Loss -- 2. Surface Drag Losses -- Possible Methods for Reducing Parasitic Losses -- 7.11 Turbulence -- References -- 8 Journal Bearings -- 8.1 Introduction -- Film Thickness Profile -- 8.2 Full-Arc Plain Journal Bearing with Infinitely Long Approximation (ILA). 8.3 Boundary Conditions -- 8.4 Full-Sommerfeld Boundary Condition -- Load-Carrying Capacity Based on Full-Sommerfeld Condition -- 8.5 Definition of the Sommerfeld Number -- 8.6 Half-Sommerfeld Boundary Condition -- 8.7 Cavitation Phenomena -- Gaseous Cavitation -- Vapor Cavitation -- 8.8 Swift-Stieber (Reynolds) Boundary Condition -- 8.9 Infinitely Short Journal Bearing Approximation (ISA) -- 8.10 Full- and Half-Sommerfeld Solutions for Short Bearings (ISA) -- 8.11 Bearing Performance Parameters -- Leakage Flow Rate and Friction Coefficient -- 8.12 Finite Journal Bearing Design and Analysis -- Tabulated Dimensionless Performance Parameters -- 8.13 Attitude Angle for Other Bearing Configurations -- 8.14 Lubricant Supply Arrangement -- Supply Hole -- Axial Groove -- Circumferential Groove -- Spiral Grooves -- 8.15 Flow Considerations -- Holes or Axial Grooves -- Axial Flow Due to Rotation -- Pressure-Induced Flow -- Total Leakage Flow Rate -- Circumferential Groove -- 8.16 Bearing Stiffness, Rotor Vibration, and Oil-Whirl Instability -- 8.17 Tilting Pad Journal Bearings -- 8.18 General Design Guides -- Effective Temperature -- Maximum Bearing Temperature -- Maximum Bearing Temperature and Effective Temperature Base on Thermohydrodynamic Analysis -- Supply Temperature and Bearing Whirl Instability -- Turbulent and Parasitic Loss Effects -- Flooded versus Starved Condition -- Bearing Load and Dimensions -- Lift-Off Speed -- Eccentricity and Minimum Film Thickness -- Operating Clearance -- Thermally Induced Seizure -- Misalignment and Shaft Deflection -- References -- 9 Squeeze-Film Bearings -- 9.1 Introduction -- 9.2 Governing Equations -- 9.3 Planar Squeeze Film -- Two Parallel Circular Disks -- Shape Variation: Elliptical Disks -- 9.4 Generalization for Planar Squeeze Film -- 9.5 Nonplanar Squeeze Film -- Sphere Approaching a Plate. Expressions for Several Nonplanar Squeeze-Film Geometries -- 9.6 Squeeze Film of Finite Surfaces -- Finite Planar Squeeze Film -- Squeeze Film of Finite Nonplanar Bodies -- Combined Squeeze and Rotational Motion -- 9.7 Piston Rings -- Friction Force and Power Loss -- References -- 10 Hydrostatic Bearings -- 10.1 Introduction -- Heavily Loaded Precision Machinery -- Hydrostatic Oil Lifts -- Severe Operating Conditions -- Stadium Mover/Converter -- 10.2 Types and Configurations -- 10.3 Circular Step Thrust Bearings -- Pressure Distribution and Load -- Load-Carrying Capacity -- Flow Rate Requirement -- Bearing Stiffness -- Friction Torque -- System Power Loss -- Film Power Loss -- Pumping Power Loss -- Optimization -- Thermal Effects and Typical Operating Conditions -- 10.4 Capillary-Compensated Hydrostatic Bearings -- Governing Equations -- Stiffness and Optimization -- 10.5 Orifice-Compensated Bearings -- Stiffness and Optimization -- 10.6 Design Procedure for Compensated Bearings -- 10.7 Generalization to Other Configurations -- Pressure Factor -- Flow Factor -- Power Loss Factor, Hf -- 10.8 Hydraulic Lift -- References -- 11 Gas Bearings -- 11.1 Equation of State and Viscous Properties -- Equation of State -- Viscous Properties -- 11.2 Reynolds Equation -- Restrictions and Limitation -- Limiting Cases -- 11.3 Closed-Form Solutions -- Infinitely Long Tapered-Step and Slider Bearings -- Infinitely Long Journal Bearings -- 11.4 Finite Thrust Bearings -- Rectangular Thrust Bearings -- Sector-Pad Thrust Bearings -- Design Procedure for Tilting-Pad Thrust Bearings -- 11.5 Finite Journal Bearings -- Steady-State Performance -- Angular Stiffness and Misalignment Torque -- Whirl Instability -- 11.6 Tilting-Pad Journal Bearings -- Steady-State Performance -- 11.7 Foil Gas Bearings -- Coupling between Hydrodynamics and Structure -- Analysis. Limiting Speed Analysis. EBL201708 SzGeCERN Engineering BOOK Booser, E Richard https://cds.cern.ch/auth.py?r=EBLIB_P_4923313 ebook 201708 n 201732 21 PUBLIC https://catalogue.library.cern/legacy/2279882 BOOK MIGRATED 2279865 SzGeCERN 20210421210527.0 9780081010372 0081010370 9780128094785 oai:cds.cern.ch:2279865 cerncds:BOOK SAFARI 9780081010372 eng 610.28 Love, Brian J Biomaterials a systems approach to engineering concepts San Diego, CA Elsevier Science 2017 411 p ebook Front Cover -- Biomaterials -- Copyright Page -- Dedication -- Contents -- Author Bio -- Preface -- Acknowledgments -- 1 Cell Biology -- 1.1 Introduction -- 1.2 Cell Composition and Make-Up -- 1.2.1 The Nucleus -- 1.2.2 The Endoplasmic Reticulum, ER -- 1.2.3 Mitochondria -- 1.2.4 The Golgi Apparatus -- 1.2.5 Cell Structure -- 1.2.6 The Membrane Structure: Phospholipids -- 1.2.7 Receptors -- 1.3 Cell Classifications -- 1.3.1 Stem Cells -- 1.3.2 Differentiated Cells and Other Classifications -- 1.4 Cells Associated With Specific Organs and Systems -- 1.4.1 Cells Found in Blood -- 1.4.1.1 Platelets -- 1.4.1.2 Red Blood Cells (RBCs or Erythrocytes) -- 1.4.1.3 White Blood Cells: Monocytes and Neutrophils -- 1.5 Cells Found with the Nervous System -- 1.6 Cells Found in Fibrous, Bony, and Cartilage Connective Tissues -- 1.7 Reclassifying Cells Based on Organ Function and Physiology -- 1.7.1 Endothelial Vs Urothelial Cells -- 1.7.2 Metabolic Cells Found in the Pancreas -- 1.7.3 Metabolic Cells Found in the Liver -- 1.7.4 Sentry Cells -- 1.8 Observation of Cell Size and Morphology: Microscopy -- 1.9 Bacterial Cell Types -- 1.10 Conclusions -- 1.11 Problems -- References -- 2 Cell Expression: Proteins and Their Characterization -- 2.1 Introduction -- 2.2 Protein Molecular Weight -- 2.3 Protein Polydispersity -- 2.4 Biochemical Determination of Molecular Weight -- 2.5 Protein Thermodynamics -- 2.6 Typical Proteinaceous Polymers -- 2.6.1 Collagen -- 2.6.2 Keratin -- 2.6.3 Elastin -- 2.6.4 Albumin -- 2.7 Conclusion -- 2.8 Problems -- References -- Further Reading -- 3 Bones and Mineralized Tissues -- 3.1 Introduction -- 3.2 Cortical Bone -- 3.2.1 Cortical Bone Anatomy -- 3.2.2 The 3.4.2: Haversian System -- 3.2.3 Composition and Properties of Cortical Bone -- 3.3 Cancellous (Spongy Bone) -- 3.3.1 Anatomy of Spongy Bone. 3.3.2 Composition and Mechanical Behavior of Spongy Bone -- 3.4 Teeth -- 3.4.1 Tooth Anatomy and Evolution -- 3.4.2 Plaque, Organic Acids, Alter pH and Demineralize Tooth Surfaces -- 3.4.3 Dentin Exposure Through the Gum-line: Periodontal Disease -- 3.4.4 Tooth Statics and Dynamics: The Origins of Orthodontia -- 3.4.5 Endodonics: Resolving the Dying Internal Structure of a Tooth -- 3.4.6 Sealants as a Preventive Procedure to Fight Tooth Decay -- 3.4.7 Oral Surgery, Bone Implants, and Fracture Fixation -- 3.5 Conclusions -- 3.6 Problems -- References -- 4 Connective and Soft Tissues -- 4.1 Introduction -- 4.2 Protein Structure and Composition in the Circulatory System -- 4.3 Protein Structure of Valvular Tissue and Leaflets -- 4.3.1 Valve and Leaflet Defects -- 4.3.2 Aneurysms and Fistulae -- 4.3.3 Aortic Dissection -- 4.4 Dermal Tissues, Including Hair and Nerves -- 4.4.1 The Skin -- 4.4.2 The Subcutaneous or Adipose Tissues -- 4.4.3 The Dermis -- 4.4.4 The Stratum Corneum and Epidermis -- 4.4.5 Skin Care as a Business -- 4.5 Hair -- 4.5.1 Hair Morphology -- 4.5.2 Features and Attributes of Hair -- 4.5.3 Hair as a Business -- 4.6 Nails -- 4.7 Muscle Tissues -- 4.8 Looking Ahead -- 4.9 Conclusions -- 4.10 Problems -- References -- 5 Property Assessments of Tissues -- 5.1 Introduction -- 5.2 Mechanical Properties -- 5.2.1 Uniaxial Extension and Compression -- 5.3 How Much Does the Humerus Bone Length Shrink Upon Loading With the Bar? -- 5.3.1 The Tensile Test -- 5.3.2 Hookes Law and Hookean Behavior -- 5.4 Strength -- 5.4.1 Yield Strength -- 5.5 Bending -- 5.6 Torsion -- 5.7 Cyclic Loading and Fatigue Resistance -- 5.8 Relationship to Natural Materials -- 5.9 Viscoelasticity -- 5.9.1 Maxwell Model -- 5.9.1.1 Voigt model: retarded behavior -- 5.10 Time-Dependent Stress-Strain Behavior -- 5.11 Physical Property Determinations -- 5.11.1 Density. 5.11.2 Conventional X-ray Measurements -- 5.11.3 Computer Tomography Aided X-Ray Analysis -- 5.11.4 Magnetic Resonance Imaging -- 5.12 Optical Properties -- 5.12.1 UV/Visible Light Transmission -- 5.13 Electrical Properties of Tissues -- 5.14 Conclusions -- 5.15 Problems -- References -- 6 Environmental Effects on Natural Tissues -- 6.1 Introduction -- 6.2 Arteriosclerosis -- 6.3 Kidney Disease -- 6.3.1 Models of Kidney Transport -- 6.4 Obesity -- 6.5 Osteoporosis -- 6.6 Valvular Diseases -- 6.7 Cancer -- 6.8 Amyloid Diseases -- 6.9 Skin: How is Aging Manifested? -- 6.10 Burns and Prior Connective Tissue Trauma -- 6.11 Conclusions and Final Thoughts -- 6.12 Problems -- References -- 7 Metallic Biomaterials -- 7.1 Introduction -- 7.1.1 Metals and Phase Equilibria -- 7.1.2 Features of Solid Solutions and Those of Limited Solubility -- 7.1.3 Attributes of the Binary Phase Diagram -- 7.1.4 More Complicated and Realistic Phase Diagrams: Three or More Components -- 7.2 Characterizing Phase Structure -- 7.3 Metallic Biomaterial Types -- 7.3.1 Steels -- 7.3.2 Co-Cr Alloys -- 7.3.3 Titanium and Titanium Alloys -- 7.3.4 NiTi Shape Memory Alloys -- 7.3.5 Gold, Gold Alloys, and Other Precious Metal Alloys -- 7.3.6 Other Precious Metals: Pt/ Rh/Pd -- 7.3.7 Amalgam -- 7.4 Mechanical Properties -- 7.5 Schemes to Stress Shielding Further? -- 7.5.1 β Phase Titanium Alloys -- 7.5.2 Magnesium-Based Biodegradable Alloys -- 7.6 Processing -- 7.7 Conclusion -- 7.8 Problems -- References -- 8 Ceramic Biomaterials -- 8.1 Introduction -- 8.2 CaHAP -- 8.3 Aluminum Oxide: Al2O3 -- 8.4 Zirconia: ZrO2 -- 8.5 Porcelains -- 8.6 Carbon -- 8.7 Processing Schemes and Structures -- 8.8 Mechanical and Physical Properties -- 8.9 Particulate Bioceramics -- 8.10 Bioactive Ceramic Structures -- 8.11 Relationship With Environment -- 8.12 Functional Usage -- 8.13 Conclusion -- 8.14 Problems. References -- 9 Polymeric Biomaterials -- 9.1 Introduction -- 9.1.1 Radical Polymerization -- 9.1.2 Step Polymerization -- 9.1.3 Copolymerization -- 9.2 Phase Behavior of Polymers -- 9.3 Classes of Common Biomedical Polymers -- 9.3.1 Polyolefins -- 9.3.1.1 Polyethylene -- 9.3.1.2 Polypropylene -- 9.3.2 Beyond olefins: Acrylates -- 9.3.2.1 Methyl methacrylate -- 9.3.2.2 BisGMA -- 9.3.3 Condensation polymers: Polyamides -- 9.3.3.1 Nylon polyamide 6,6 -- 9.3.3.2 Polyamide 6.10, others -- 9.3.3.3 Polycaprolactum, Nylon 6 -- 9.3.4 Condensation polymers: Polyesters -- 9.3.4.1 Polyethylene terephthalate -- 9.3.4.2 Polycarbonate -- 9.3.4.3 Polylactic acid/polyglycolic acid/polycaprolactone -- 9.4 Polyethers -- 9.5 Silicones -- 9.6 Natural Polymers -- 9.7 Other Polymers -- 9.8 Hydrogels, Scaffolds, and Other Degrading Structures -- 9.9 Polymeric Sutures -- 9.10 Drug Delivery: Hydrophilic and Amphiphilic Polymers as Vehicles -- 9.11 Conclusions -- 9.12 Problems -- References -- 10 Nanomaterials and Phase Contrast Imaging Agents -- 10.1 Introduction -- 10.2 X-ray Diagnostics and Phase Contrast Agents -- 10.2.1 GI Blockage Assessments -- 10.2.2 Cardiovascular Phase Contrast Angiography -- 10.3 MRI Phase Contrast Agents -- 10.4 PET Imaging -- 10.5 Conclusion -- 10.6 Problems -- References -- 11 Orthopedics -- 11.1 Introduction -- 11.2 Trauma-Induced Fracture and Repair Strategies -- 11.2.1 Etiology and Epidemiology of Fracture -- 11.2.2 Materials of Choice in Fracture Fixation -- 11.2.3 Tendon and Ligament Repair -- 11.2.4 Spine Stabilization -- 11.3 Trauma and Disease in Articulating Joints -- 11.3.1 The Epidemiology and Etiology of Joint Disease -- 11.4 Joint Types -- 11.4.1 Hinge Joints -- 11.4.2 Ball and Socket Joints -- 11.4.3 Pivot/Rotary Joints -- 11.4.4 Gliding/Saddle Joints -- 11.5 The Mechanics of Joint Replacement. 11.6 The Tribology of Joint Replacements: Impact on Joint Lifetime -- 11.7 Point to the Future -- 11.8 Thought Exercise: Short-Term Surgical Viability Versus Long-Term Survival -- 11.9 Other Schemes to Reduce the Wear on Sterilized Surfaces -- 11.10 Conclusions -- 11.11 Problems -- References -- 12 Neural Interventions -- 12.1 Introduction -- 12.2 Aneurysm and Cerebrovascular Modulation -- 12.2.1 Clips -- 12.2.2 Coils -- 12.2.3 Embolic Fluids -- 12.2.3.1 Dispersion-based Embolics -- 12.2.3.2 Reactive Liquid Embolics -- 12.2.4 Filling of Other Defects -- 12.3 Neural Probes and Stimulators -- 12.4 Conclusion -- 12.5 Problems -- References -- 13 Cardiovascular Interventions -- 13.1 Introduction -- 13.2 Valvular Repairs: Rationale for Intervention: Murmurs, Regurgitation, Congestive Heart Failure -- 13.2.1 Sutures to Address Leaflet Tears -- 13.2.2 Annulolasty Rings -- 13.3 Prosthetic and Bioprosthetic Replacement Valves -- 13.4 Outcomes -- 13.5 Interchamber Defects -- 13.6 Vascular Grafts -- 13.6.1 Dacron Grafts -- 13.6.2 Expanded Polytetrafluoroethylene (ePTFE) -- 13.7 Stents -- 13.8 Drug Eluting Stents -- 13.9 Added Constraints: Pediatric Cardiac Interventions -- 13.10 Pacemakers, Defibrillators, and Associated Hardware -- 13.11 Conclusions -- 13.12 Pointing to the Future -- 13.13 Problems -- References -- 14 Artificial Organs -- 14.1 Kidney: Dialysis -- 14.1.1 Dialysis Options -- 14.1.2 Peritoneal Dialysis -- 14.1.3 Hemodialysis -- 14.1.4 Continuous Metabolite Extraction -- 14.2 Artificial Pancreas -- 14.3 Artificial Bladders -- 14.4 Pivoting to the future -- 14.5 Problems -- References -- 15 Special Topics: Assays Applied to Both Health and Sports -- 15.1 Introduction and Historical Basis -- 15.2 What Can be Learned From Urinalysis? -- 15.2.1 Liquid Chromatography-Based Determinations -- 15.2.2 Pee Strip Determinations -- 15.3 Blood Doping. 15.4 Conclusion. SAF201710 EBLlink deleted Health Physics and Radiation Effects SzGeCERN BOOK https://learning.oreilly.com/library/view/-/9780081010372/?ar ebook n 201732 201708 21 PUBLIC https://catalogue.library.cern/legacy/2279865 BOOK MIGRATED 2279839 SzGeCERN 20200610213326.0 9781351648691 electronic version electronic version 9781498753555 electronic version electronic version 9781498753555 print version oai:cds.cern.ch:2279839 cerncds:BOOK EBL 4913539 eng 005.7 Ramanathan, Ramakrishnan Big data analytics using multiple criteria decision-making models Portland, OR CRC Press 2017 387 p ebook Operations research series Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Editors -- Acknowledgments -- Contributors -- 1. Multicriteria Leadership and Decisions: Festschrift in Honor of Ravi Ravindran -- 2. Multi-Criteria Decision Making: An Overview and a Comparative Discussion -- 3. Basics of Analytics and Big Data -- 4. Linear Programming (LP)-Based Two-Phase Classifier for Solving a Classification Problem with Multiple Objectives -- 5. Multicriteria Evaluation of Predictive Analytics for Electric Utility Service Management -- 6. Multiobjective Forecasting: Time Series Models Using a Deterministic Pseudo-Evolutionary Algorithm -- 7. A Class of Models for Microgrid Optimization -- 8. A Data-Driven Approach for Multiobjective Loan Portfolio Optimization Using Machine-Learning Algorithms and Mathematical Programming -- 9. Multiobjective Routing in a Metropolitan City with Deterministic and Dynamic Travel and Waiting Times, and One-Way Traffic Regulation -- 10. Designing Resilient Global Supply Chain Networks over Multiple Time Periods within Complex International Environments -- 11. MCDM-Based Modeling Framework for Continuous Performance Evaluation of Employees to Offer Reward and Recognition -- 12. Use of DEA for Studying the Link between Environmental and Manufacturing Performance -- 13. An Integrated Multicriteria Decision-Making Model for New Product Portfolio Management -- Index. EBL201708 Computing and Computers SzGeCERN BOOK Mathirajan, Muthu Ravindran, A Ravi https://cds.cern.ch/auth.py?r=EBLIB_P_4913539 ebook n 201732 201708 21 PUBLIC BOOK DELETED 2279838 SzGeCERN 20200610213326.0 9781351648462 electronic version electronic version 9781498750783 electronic version electronic version 9781498750783 print version oai:cds.cern.ch:2279838 cerncds:BOOK EBL 4913536 eng 621.38154202 Giorgi, Giacomo Theoretical modeling of organohalide perovskites for photovoltaic applications Portland, OR CRC Press 2017 244 p ebook Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Editors -- Contributors -- Chapter 1: Structure and Thermodynamic Properties of Hybrid Perovskites by Classical Molecular Dynamics -- 1.1 Introduction to Hybrid Perovskites -- 1.2 Crystal Structure of Hybrid Perovskites -- 1.2.1 Readdressing the Tolerance Factor for Hybrid Perovskites -- 1.3 Beyond the Static Modeling: Importance of Organic- Inorganic Interactions in Hybrid Perovskites -- 1.3.1 The Molecular Dynamics Approach -- 1.3.2 Classical Molecular Dynamics -- 1.4 Understanding the Thermodynamic Properties of Hybrid Perovskites by Classical Force Fields -- 1.4.1 MAPI Thermodynamic Transformation Studied Using the MYP Potential -- 1.5 Molecular Entropy -- 1.6 Vibrational Properties of Hybrid Perovskites -- 1.7 Thermal Conductivity of Hybrid Perovskites Investigated by Molecular Dynamics -- 1.8 Conclusions -- Acknowledgment -- References -- Chapter 2: Bulk Structural and Electronic Properties at the Density Functional Theory and Post-Density Functional Theory Level of Calculation -- 2.1 Intrinsic Electronic, Optical, and Recombination Properties Described by the Density Functional Theory Calculations -- 2.1.1 Introduction -- 2.1.2 Methodology -- 2.1.3 Results -- 2.1.3.1 Structural, Electronic, and Optical Properties of MAPbI3 and MAPbI2Cl -- 2.1.3.2 Radiative Recombination and Photoconversion Limit of MAPbI3 -- 2.1.4 Conclusions -- References -- 2.2 Hybrid Organic-Inorganic Halide Perovskites: Electronic Structure, Dielectric Properties, Native Defects, and the Role of ns2 Ions -- 2.2.1 Halide Electronic and Optoelectronic Materials -- 2.2.2 Halides Containing ns2 Ions -- 2.2.2.1 Mixed Ionic-Covalent Character -- 2.2.2.2 Enhanced Born Effective Charge and Strong Lattice Polarization. 2.2.2.3 Effects of a Large Static Dielectric Constant on Carrier Transport -- 2.2.3 Native Defects in CH3NH3PbI3 -- 2.2.3.1 Defect Levels and Effects of Spin-Orbit Coupling and Self-Interaction Error -- 2.2.3.2 Why the Halogen Vacancy Is Shallow and the Implication for the Search for New Halide Electronic Materials -- 2.2.4 Conclusions -- 2.2.5 Acknowledgment -- References -- Chapter 3: Electric Properties of Organic-Inorganic Halide Perovskites and Their Role in the Working Principles of Perovskite-Based Solar Devices -- 3.1 Extremely Slow Changes in Photoluminescence and Raman in Organohalide Hybrid Perovskites: A First Principles Investigation -- 3.1.1 Introduction -- 3.1.2 Raman Spectrum of MAPbI3 -- 3.1.2.1 Raman Spectrum of MAPbI3: An Experimental Overview -- 3.1.2.2 Assignment of the Raman Spectrum from DFT Simulations -- 3.1.2.3 Structure/Electronic Properties and Degradation of Hybrid Perovskites in Working Photovoltaic Devices -- 3.1.2.4 How Structure Impacts the Optical and Photophysical Properties -- 3.1.2.5 How Structure Reflects the Device Properties -- 3.1.3 Extremely Slow Photocurrent and Photoluminescence Response in Hybrid Perovskites -- 3.1.3.1 Extremely Slow Photoconductivity Response -- 3.1.3.2 Evolution of the Raman and Photoluminescence Response of the MAPbI3 under Illumination -- 3.1.4 Conclusions -- References -- 3.2 Ferroelectricity and Spin-Orbit Coupling in Organic-Inorganic Perovskite Halides -- 3.2.1 Introduction -- 3.2.2 Spin-Orbit Coupling in Nonmagnetic Systems Lacking Inversion Symmetry -- 3.2.2.1 Rashba and Dresselhaus Spin-Orbit Interactions -- 3.2.2.2 Ferroelectric Rashba Semiconductors -- 3.2.3 Review of Evidence for Ferroelectricity in Perovskite Halides -- 3.2.4 Interplay between Spin-Orbit Coupling and Ferroelectricity in Organohalide Perovskites. 3.2.5 Impact of Inversion Symmetry Breaking and the Spin Degree of Freedom on Photocurrents in the Hybrid Perovskites -- 3.2.5.1 Photocurrent Carrier Separation and Inversion Symmetry Breaking in the Hybrid Perovskites -- 3.2.5.2 Photocurrents in the Presence of Spin-Orbit Coupling -- References -- Chapter 4: Alloys and Environmental Related Issues -- 4.1 Introduction -- 4.1.1 Environment-Related Issues in PSC Deployment -- 4.1.2 Perovskite Structure Formability and the Concept of Tolerance Factor -- 4.1.3 Revised Tolerance Factor for Organo-Metallic (Hybrid) Perovskites -- 4.2 Computational Materials Screening and Design -- 4.2.1 Major Computational Material Discovery Initiatives -- 4.2.2 Global Minima and Stability Search Methods -- 4.2.3 Advanced Minima Search in High-Throughput Materials Discovery -- 4.2.4 Data Handling, Post Processing, and Machine Learning -- 4.2.5 Progress in Developing New Screening Descriptors for Solar Cell Materials -- 4.3 Environmentally Friendly Hybrid Materials for Solar Cells by Computational Design -- 4.3.1 Platonic Model Design -- 4.3.2 The CRAQ-Solar Hybrid Materials Design Project -- 4.4 Lead-Free Perovskites and Alternative "Clean" Systems for Solar Cells -- 4.4.1 Organo-Sn Halides -- 4.4.2 Mixed Organo-Pb/Sn Halides -- 4.4.3 Organo-Germanium Iodides -- 4.4.4 Other Synthesized Materials -- 4.4.5 Other Possible Alternative "Clean" Systems -- 4.5 Concluding Remarks and Future Outlook -- References -- Chapter 5: Atomic Structures and Electronic States at the Surfaces and Interfaces of CH3NH3PbI3 Perovskite -- 5.1 Introduction -- 5.1.1 History of Perovskite Solar Cells -- 5.1.2 Bulk Properties of PSCs -- 5.1.3 Surface and Interface Properties of PSCs -- 5.2 Methods -- 5.2.1 DFT Calculation -- 5.2.2 Computational Models for Perovskite Surfaces -- 5.2.3 Phase Diagrams of MAPbI3 -- 5.2.4 Interface Construction. 5.3 Results -- 5.3.1 Stable Surface Structures -- 5.3.2 Electronic Properties and Surface States -- 5.3.3 Atomic Structures and Electronic States at TiO2/MAPbI3 and Al2O3/MAPbI3 Interfaces -- 5.4 Conclusions -- References -- Chapter 6: Computational High-Throughput Screening for Solar Energy Materials -- 6.1 Introduction -- 6.2 Identification of Descriptors -- 6.2.1 Inorganic Perovskites -- 6.2.2 Hybrid Halide Perovskites -- 6.3 Conclusions and Perspectives -- Acknowledgments -- References -- Chapter 7: Organic-Inorganic Halide Perovskite Quasi-Particle Nature Analysis via the Interplay among Classic Solid-State Concepts, Density Functional, and Many-Body Perturbation Theory -- 7.1 Quasi-particle behavior in 2D/3D organic-inorganic halide perovskites -- 7.1.1 Excitons -- 7.1.2 Electron-Phonon Interactions -- 7.1.3 Electron-Electron Interactions -- References -- Index. EBL201708 Engineering SzGeCERN BOOK Yamashita, Koichi https://cds.cern.ch/auth.py?r=EBLIB_P_4913536 ebook n 201732 201708 21 PUBLIC BOOK DELETED 2279705 SzGeCERN 20200503231951.0 9781351814539 electronic version electronic version 9781890871727 electronic version electronic version 9781890871727 print version oai:cds.cern.ch:2279705 cerncds:BOOK EBL 4906865 eng LB2844.1.R4C43 2007 428.4071 Cecil, Nancy L Focus on fluency a meaning-based approach Scottsdale Taylor and Francis 2006 169 p ebook Cover -- Title -- Copyright -- Contents -- Preface -- Chapter 1 FLUENCY DEFINED -- Why Is Fluency Important? -- Defining Fluency -- Rate -- Accuracy -- Prosody -- A Brief History of Fluency Instruction -- Current Practices for Teaching and Assessing Fluency -- What Can Be Done to Improve Fluency? -- REFERENCES -- Chapter 2 ORAL READING AND FLUENCY -- The Value of Repeated Readings -- Repeated Reading Activities -- activity FLUENCY DEVELOPMENT LESSON -- activity REVISED RADIO READING -- Poetry and Fluency -- activity POEM IN MY POCKET -- activity POETRY RECONSTRUCTION -- Poetry Readings -- Singing and Fluency -- activity CLASSROOM SING-ALONGS -- Modeling Fluent Reading -- SUMMARY -- REFERENCES -- Chapter 3 CHORAL READING AND FLUENCY -- How to Initiate a Choral Reading -- activity CREATING A CHORAL READING -- Teaching Typographical Cues -- activity MINI-LESSON ON TYPOGRAPHICAL CUES -- Five Choral Reading Formats -- Unison Reading -- Echoic Reading -- Verse and Refrain Reading -- Cumulative Reading -- Antiphonal Reading -- Especially for Early Readers -- Multimedia Extensions -- Art -- Drama -- Music -- SUMMARY -- REFERENCES -- Chapter 4 DRAMA AND FLUENCY -- Reading Commercial Plays -- Performing Readers Theatre -- Selecting Literature for Scripts -- Adaptations -- activity ADAPTING STORIES TO READERS THEATRE -- Creating Original Drama -- SUMMARY -- REFERENCES -- Chapter 5 ASSISTED READING AND FLUENCY -- Teacher-Directed Assisted Reading Techniques -- The Neurological Impress Method -- Echo Reading -- Use of Phrase Markings -- activity USING PHRASE MARKINGS TO INCREASE FLUENCY -- Skimming and Scanning -- Fluency-Oriented Reading Instruction -- activity USING FLUENCY-ORIENTED READING INSTRUCTION -- Oral Recitation Lesson -- activity INITIATING AN ORAL RECITATION LESSON -- Tape-Assisted Reading -- Student- and Parent-Assisted Fluency Techniques. Dyad Reading -- Parent Partners -- Teachers and Peers as Fluency Coaches -- The Teacher -- Student Tutors -- SUMMARY -- REFERENCES -- Chapter 6 INDEPENDENT SILENT READING AND FLUENCY DEVELOPMENT -- Fostering Independent Reading in Class -- Developing a Classroom Climate That Fosters Autonomy -- Concept-Oriented Reading Instruction -- In-Class Silent Reading -- Fostering Independent Silent Reading at Home -- Incentives -- Communicating with Parents About Fluency -- Recorded Texts -- Closed-Caption Television -- Real World Reading Activities -- activity BIKE REPAIR -- activity ANIMAL FACTS -- activity CAREER QUEST -- activity ENVIRONMENTAL PRINT -- SUMMARY -- REFERENCES -- Chapter 7 FOSTERING WRITING FLUENCY -- The Writing Process -- Prewriting -- Drafting -- Revising -- Editing -- Publishing -- Fostering Writing Speed -- Speedwriting -- activity SPEEDWRITING -- Story Retelling -- activity RETELLING A STORY -- Generating Ideas for Writing -- Prompts -- Dialogue Journals -- Automaticity in Writing -- Teacher Modeling of Automaticity in Writing -- Spelling Concerns and Writing Fluency -- Especially for Early Writers -- Allowing for Developmental Differences -- Interactive Writing -- Morning Message -- SUMMARY -- REFERENCES -- Chapter 8 FLUENCY AND TECHNOLOGY -- Choosing Software -- Interactive Reading and Writing: Electronic Books -- The Reader Rabbit Series -- Illuminatus 4.5 -- Start-to-FinishTM -- Guidelines for Choosing Electronic Books -- Supplemental Programs Focusing on Repeated Readings -- Read Naturally -- Great Leaps Reading Program -- Programs Offering Feedback and Support -- Soliloquy Reading Assistant -- Computer Programs to Enhance Writing Fluency -- Tools to Increase Reading Rate -- AceReader -- Reading Speed Drills -- Mechanical Devices -- SUMMARY -- REFERENCES -- Chapter 9 FLUENCY AND ASSESSMENT -- Formative Assessment. Summative Assessment -- Assessing Reading Rate -- Assessing Accuracy -- Assessing Prosody -- Self-Evaluation of Reading Fluency -- Formal Standardized Assessments -- Dynamic Indicators of Basic Early Literacy (DIBELS) -- The Gray Oral Reading Test, Fourth Edition (GORT-4) -- Test of Word Reading Efficiency (TOWRE) -- Assessing Writing Fluency -- SUMMARY -- REFERENCES -- APPENDICES -- APPENDIX A CHILDREN'S LITERATURE RESOURCES -- Children's Literature for Oral Reading -- Books for Poetry and Choral Reading -- Songbooks -- Plays and Readers Theatre -- APPENDIX B READING INTEREST INVENTORY -- APPENDIX C ELECTRONIC RESOURCES TO INCREASE FLUENCY -- Author and Title Index -- Subject Index. EBL201708 Other Subjects SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4906865 ebook n 201732 21 PUBLIC BOOK DELETED 2279615 SzGeCERN 20210421210604.0 9780128098592 electronic version electronic version 9780128098592 print version 9780128098653 electronic version electronic version oai:cds.cern.ch:2279615 cerncds:BOOK EBL 4882537 eng 004 Xhafa, Fatos Smart sensors networks communication technologies and intelligent applications San Diego, CA Elsevier Science 2017 396 p ebook Intelligent data-centric systems : sensor collected intelligence Front Cover -- Smart Sensors Networks -- Copyright -- Contents -- Contributors -- About the Editors -- Foreword -- Preface -- Organization of the Book -- The Book Readership -- Acknowledgments -- Part 1 IoT and Network Communication Systems -- 1 IoT Technologies: State of the Art and a Software Development Framework -- 1.1 Introduction -- 1.2 Current Status of IoT -- 1.2.1 Example of IoT Devices -- 1.2.2 Standardization Trend -- 1.2.3 IoT Technologies -- 1.3 IoT Securities -- 1.4 A Software Framework for IoT -- 1.4.1 Overview of the Software Framework -- 1.4.2 Islay -- 1.4.3 Raspberry Pi and a Linux Scheduler -- 1.4.4 Improvement of the Dynamic Timer -- 1.5 Conclusions -- References -- Acronyms and Glossary -- List of acronyms with explanation -- Glossary of terms with explanation -- 2 Increasing Effective Transmissions Using Smart Antenna Systems -- 2.1 Introduction -- 2.2 Background and Literature Review -- 2.3 Problem under Study and Its Statement -- 2.3.1 Network Assumptions -- 2.3.2 Problem Formulation -- Beam Mode Constraint -- Data Diversity Constraint -- Interference Constraint -- Transmitting Rate Constraint -- Receiving Rate Constraint -- 2.3.3 Objectives -- 2.3.3.1 Routing Objectives -- Objective: The shortest paths for unicasting -- Objective: The minimal cost for multicasting -- 2.3.3.2 Scheduling Objectives -- Objective: The maximal satisfying transmissions in the minimal time -- 2.4 The Proposed Approach -- 2.4.1 De ning the Clusters in the Concerned Environment -- 2.4.2 Determining the Routing Paths for Each Transmission Pair -- 2.4.2.1 Building Delay-Guaranteed Routing Paths -- A. Creating and Transmitting RREQ Packets -- B. Creating and Replying RREP Packets -- C. Routing Table in each Host -- 2.4.2.2 Finding Shared Paths for Multicasting -- 2.4.2.3 Adjusting the Routing Path -- 2.4.3 Schedule Parallel Transmissions Pairs. 2.4.3.1 Collecting Transmission Requests -- 2.4.3.2 Constructing Parallel Transmissions -- 2.4.3.3 Scheduling According to Receivers and Senders -- 2.5 Implementation -- 2.6 Evaluation -- 2.6.1 Routing Evaluations -- 2.6.2 Scheduling Evaluations -- 2.7 Conclusions -- 2.8 Future Works and Challenges -- References -- Acronyms and Glossary -- List of acronyms with explanation -- Glossary of terms with explanation -- 3 A DTN-Based Multi-hop Network for Disaster Information Transmission -- 3.1 Introduction -- 3.2 Related Works -- 3.3 The Proposed System -- 3.4 Network Protocol -- 3.4.1 System Architecture -- 3.5 Prototype System and Performance -- 3.5.1 Performance Evaluation and Discussions -- 3.6 Conclusions -- Acknowledgment -- References -- Acronyms and Glossary -- List of acronyms with explanation -- Glossary of terms with explanation -- 4 Intelligent Energy Management for Environmental Monitoring Systems -- 4.1 Introduction -- 4.2 Environmental Monitoring Systems -- 4.2.1 Structure of Environmental Monitoring Systems -- 4.2.2 Sensors for Environmental Monitoring -- 4.2.2.1 Temperature Measurement -- 4.2.2.2 Light Monitoring -- 4.2.2.3 Soil Monitoring -- 4.2.2.4 Gas Analysis -- 4.3 Power Supplies for Terrestrial Environmental Monitoring Systems -- 4.3.1 Components of Power Supplies -- 4.3.1.1 Energy Sources -- 4.3.1.2 Energy Storage Devices -- 4.3.1.3 Power Converters -- 4.3.1.4 Loads -- 4.3.2 Energy Harvesting Systems -- 4.3.2.1 Topologies of Energy Harvesting Systems -- Autonomous harvesting systems -- Autonomous hybrid harvesting systems -- Battery-supplemented harvesting systems -- 4.4 Energy Management Strategies -- 4.4.1 Power Management Techniques -- 4.4.1.1 Maximum Power Point Tracking -- 4.4.1.2 Duty Cycling -- 4.4.1.3 Dynamic Voltage and Frequency Scaling -- 4.4.1.4 Power Management for Peripherals -- 4.4.2 From Techniques to Strategies. 4.4.2.1 Design -- 4.4.2.2 Development and Testing -- 4.4.2.3 Evaluation -- 4.5 Computational Intelligence in EMS Energy Management -- 4.5.1 Pressure-Based Forecasting of Solar Energy Availability -- 4.5.2 Energy Management in EMS Using Fuzzy Control -- 4.5.3 In-node Data Compression -- 4.5.4 Entropy-Based Clustering Hierarchy -- 4.6 Conclusions and Future Work -- References -- Acronyms and Glossary -- List of acronyms with explanation -- Glossary of terms with explanation -- Part 2 Data Streaming, Processing, and Analysis -- 5 Smart Sensor Data Stream Delivery Technologies -- 5.1 Introduction -- 5.2 P2P-Based Technologies -- 5.2.1 Addressed Problems -- 5.2.1.1 Assumed Environment -- 5.2.1.2 Input Setting -- 5.2.1.3 Objective Function -- 5.2.1.4 De nition of a Load -- 5.2.2 Load Distribution Method -- 5.2.3 Evaluation -- 5.2.3.1 Simulation Environment -- 5.2.3.2 Total System Loads -- 5.2.3.3 Loads for Source Node -- 5.2.3.4 Load Distribution -- 5.2.3.5 The Number of Hops -- 5.2.3.6 Communication Loads of Each Node -- 5.3 Technologies on the Cloud -- 5.3.1 Addressed Problems -- 5.3.2 Load Distribution Method -- 5.3.2.1 Overview -- 5.3.2.2 Grouping of Nodes -- 5.3.3 Node Assignment and Construction of Delivery Paths -- 5.3.4 Evaluation -- 5.3.4.1 Simulation Environment -- 5.3.4.2 Results by the Number of Nodes -- 5.3.4.3 Results by the Number of Streams -- 5.3.4.4 Results by the Number of Destinations -- 5.4 Discussion -- 5.5 Conclusion -- Acknowledgments -- References -- Acronyms and Glossary -- List of acronyms with explanation -- Glossary of terms with explanation -- 6 Scalable Processing of Massive Traf c Datasets -- 6.1 Introduction -- 6.2 Background and State of the Art -- 6.3 The Problem Description -- 6.3.1 The Data Sources -- 6.3.1.1 The Digital Map -- 6.3.1.2 The Traf c Dataset -- 6.3.2 Description of the Use Cases. 6.4 The Proposed Architecture -- 6.4.1 The Import Component -- 6.4.2 The Access Component -- 6.4.3 The Database Representation Component -- 6.5 The Databases -- 6.5.1 The Relational Database Model -- 6.5.1.1 The H2 Schema -- 6.5.2 The NoSQL Data Management Model -- 6.5.2.1 The Cassandra Schema -- 6.6 Preliminary Experimental Results -- 6.6.1 Performance of Data Insertion -- 6.6.2 Data Extraction Performance -- 6.7 Conclusions and Lesson Learned -- Acknowledgments -- References -- Acronyms and Glossary -- List of acronyms with explanation -- Glossary of terms with explanation -- 7 Bounded Error Data Compression and Aggregation in Wireless Sensor Networks -- 7.1 Introduction -- 7.2 Background and Literature Review -- 7.3 The Proposed Approach -- 7.4 Performance Evaluation -- 7.5 Conclusion and Future Works -- References -- Acronyms and Glossary -- List of acronyms with explanation -- Glossary of terms with explanation -- 8 Application of Data Analysis in Wellness and Health Sensor Network Environment -- 8.1 Introduction -- 8.1.1 Background -- 8.1.2 Problem Statement -- 8.1.3 Research Contributions -- 8.1.4 Article Outline -- 8.2 Literature Review -- 8.2.1 Introduction -- 8.2.2 De nition of Health Care -- 8.2.3 Wellness and Health Sensor Network Systems -- 8.2.4 Components of WHSNS -- 8.2.4.1 Physical Sensing Components -- 8.2.4.2 Communication System Components -- 8.2.4.3 Data Analysis Component -- 8.2.5 Review of Methodologies on Health Analysis and Prediction -- 8.2.6 Advantages and Current Limitations of the WHSNS -- 8.3 Deployment of the Wellness and Health Sensor Network Systems -- 8.3.1 Introduction -- 8.3.2 Brief Description of WHSNS -- 8.3.3 Application of WHSNS in Wellness and Health Sensing -- 8.3.3.1 Environment Parameter Sensing Systems and Their Control -- 8.3.3.2 Contact Sensing Systems and Their Control. 8.3.3.3 Passive Infrared Sensing Systems and Their Control -- 8.3.3.4 Electrical Apparatuses and Their Sensing Control -- 8.3.3.5 Non-Electrical Apparatuses and Their Sensing Control -- 8.3.4 Network Communication of WHSNS -- 8.3.5 Topological Architecture of WHSNS -- 8.3.6 Integration and Analysis of Real-Time Heterogeneous Sensor Data -- 8.3.7 The Software System Used to Obtain Sensor Data -- 8.3.8 Other Demands -- 8.3.9 Summary -- 8.4 Case Study: Application of WHSNS in Health Analysis and Prediction -- 8.4.1 Introduction -- 8.4.2 Health Analysis and Prediction-Oriented System Design -- 8.4.3 How to Use Health Analysis and Prediction to Check the Physical Health of Care Recipients -- 8.4.4 Optimization Procedure -- 8.4.5 System Installation -- 8.5 Conclusion and Future Works -- References -- Acronyms and Glossary -- List of acronyms with explanation -- Glossary of terms with explanation -- Part 3 Healthcare Applications -- 9 Electronic Health System: Sensors Emerging and Intelligent Technology Approach -- 9.1 Introduction -- 9.2 Literature Review -- 9.2.1 The Role of ICT for Intelligent Apps of Health System -- 9.2.2 ICT Impacts for Intelligent Apps of Health System -- 9.3 Discussion -- 9.3.1 ICT Emerging Technology -- 9.3.2 The Intelligent Sensors Apps -- 9.3.3 Usability of Intelligent Sensors Apps -- 9.4 Conclusion -- References -- Acronyms and Glossary -- Acronyms -- Glossary of Terms -- 10 Fall Detection and Motion Classi cation by Using Decision Tree on Mobile Phone -- 10.1 Introduction -- 10.2 Background -- 10.3 Problem De nition -- 10.3.1 Research Methods -- 10.3.2 Signal Processing -- 10.4 Proposal Approach -- 10.4.1 Features of Six Falling Movements -- 10.4.2 Classi ers -- 10.4.3 Our Classi cation Tool -- 10.5 Evaluation -- 10.5.1 Ceiling Effect -- 10.5.2 Evaluation Criteria -- 10.5.3 Signal Analysis -- 10.6 Conclusions and Discussion. 10.7 Future Studies. EBL201708 Computing and Computers SzGeCERN BOOK Leu, Fang-Yie Hung, Li-Ling https://cds.cern.ch/auth.py?r=EBLIB_P_4882537 ebook n 201732 201708 21 PUBLIC https://catalogue.library.cern/legacy/2279615 BOOK MIGRATED 2279610 SzGeCERN 20170906005814.0 9783527691289 electronic version 9783527332687 electronic version EBL 4875250 eng 541.395 Chorkendorff, I Concepts of modern catalysis and kinetics 3rd ed. Newark, NJ John Wiley & Sons 2017 526 p Cover -- Main title -- Copyright page -- Contents -- Preface -- List of Acronyms -- 1 Introduction to Catalysis -- 1.1 What Is Catalysis? -- 1.2 Catalysts Can Be Atoms, Molecules, Enzymes, and Solid Surfaces -- 1.2.1 Homogeneous Catalysis -- 1.2.2 Biocatalysis -- 1.2.3 Heterogeneous Catalysis -- 1.3 Why Is Catalysis Important? -- 1.3.1 Catalysis and Green Chemistry -- 1.3.2 Atom Efficiency, E Factors, and Environmental Friendliness -- 1.3.3 The Chemical Industry -- 1.4 Catalysis as a Multidisciplinary Science -- 1.4.1 The Many Length Scales of a "Catalyst" -- 1.4.2 Time Scales in Catalysis -- 1.5 The Scope of this Book -- 1.6 Appendix: Catalysis in Journals -- References -- 2 Kinetics -- 2.1 Introduction -- 2.2 The Rate Equation and Power Rate Laws -- 2.3 Reactions and Thermodynamic Equilibrium -- 2.3.1 Example of Chemical Equilibrium: The Ammonia Synthesis -- 2.3.2 Chemical Equilibrium for a Nonideal Gas -- 2.4 The Temperature Dependence of the Rate -- 2.5 Integrated Rate Equations: Time Dependence of Concentrations in Reactions of Different Orders -- 2.6 Coupled Reactions in Flow Reactors: The Steady State Approximation -- 2.7 Coupled Reactions in Batch Reactors -- 2.8 Catalytic Reactions -- 2.8.1 The Mean-Field Approximation -- 2.9 Langmuir Adsorption Isotherms -- 2.9.1 Associative Adsorption -- 2.9.2 Dissociative Adsorption -- 2.9.3 Competitive Adsorption -- 2.10 Reaction Mechanisms -- 2.10.1 Langmuir-Hinshelwood or Eley-Rideal Mechanisms -- 2.10.2 Langmuir-Hinshelwood Kinetics -- 2.10.3 The Complete Solution -- 2.10.4 The Steady State Approximation -- 2.10.5 The Quasi-Equilibrium Approximation -- 2.10.6 Steps with Similar Rates -- 2.10.7 Irreversible Step Approximation -- 2.10.8 The MARI Approximation -- 2.10.9 The Nearly Empty Surface -- 2.10.10 The Reaction Order -- 2.10.11 The Apparent Activation Energy. 2.11 Entropy, Entropy Production, Auto Catalysis, and Oscillating Reactions -- 2.12 Kinetics of Enzyme-Catalyzed Reactions -- References -- 3 Reaction Rate Theory -- 3.1 Introduction -- 3.2 The Boltzmann Distribution and the Partition Function -- 3.3 Partition Functions of Atoms and Molecules -- 3.3.1 The Boltzmann Distribution -- 3.3.2 Maxwell-Boltzmann Distribution of Velocities -- 3.3.3 Total Partition Function of a System -- 3.4 Molecules in Equilibrium -- 3.5 Collision Theory -- 3.5.1 Reaction Probability -- 3.5.2 Fundamental Objection against Collision Theory -- 3.6 Activation of Reacting Molecules by Collisions: The Lindemann Theory -- 3.7 Transition State Theory -- 3.8 Transition State Theory of Surface Reactions -- 3.8.1 Adsorption of Atoms -- 3.8.2 Adsorption of Molecules -- 3.8.3 Reaction between Adsorbates -- 3.8.4 Desorption of Molecules -- 3.9 Summary -- References -- 4 Catalyst Characterization -- 4.1 Introduction -- 4.2 X-ray Diffraction (XRD) -- 4.3 X-ray Photoelectron Spectroscopy (XPS) -- 4.4 X-ray Absorption Spectroscopy (EXAFS and XANES) -- 4.4.1 Extended X-ray Absorption Fine Structure (EXAFS) -- 4.4.2 X-ray Absorption Near-Edge Spectroscopy (XANES) -- 4.5 Electron Microscopy -- 4.6 Mössbauer Spectroscopy -- 4.7 Ion Spectroscopy: SIMS, LEIS, RBS -- 4.8 Temperature-Programmed Reduction, Oxidation, and Sulfidation -- 4.9 Infrared Spectroscopy -- 4.10 Surface Science Techniques -- 4.10.1 Low Electron Energy Diffraction (LEED) -- 4.10.2 Scanning Probe Microscopy -- 4.11 Concluding Remarks -- References -- 5 Solid Catalysts -- 5.1 Requirements of a Successful Catalyst -- 5.2 The Structure of Metals, Oxides, and Sulfides and Their Surfaces -- 5.2.1 Metal Structures -- 5.2.2 Surface Crystallography of Metals -- 5.2.3 Oxides and Sulfides -- 5.2.4 Surface Free Energy -- 5.3 Characteristics of Small Particles and Porous Material. 5.3.1 The Wulff Construction -- 5.3.2 The Pore System -- 5.3.3 The Surface Area -- 5.4 Catalyst Supports -- 5.4.1 Silica -- 5.4.2 Alumina -- 5.4.3 Carbon -- 5.4.4 Shaping of Catalyst Supports -- 5.5 Preparation of Supported Catalysts -- 5.5.1 Coprecipitation -- 5.5.2 Impregnation, Adsorption, and Ion Exchange -- 5.5.3 Deposition Precipitation -- 5.6 Unsupported Catalysts -- 5.7 Zeolites -- 5.7.1 Structure of a Zeolite -- 5.7.2 Compensating Cations and Acidity -- 5.7.3 Applications of Zeolites -- 5.8 Catalyst Testing -- 5.8.1 Ten Commandments for Testing Catalysts -- 5.8.2 Activity Measurements -- References -- 6 Surface Reactivity -- 6.1 Introduction -- 6.2 Physisorption -- 6.2.1 The Van der Waals Interaction -- 6.2.2 Including the Repulsive Part -- 6.3 Chemical Bonding -- 6.3.1 Bonding in Molecules -- 6.3.2 The Solid Surface -- 6.4 Chemisorption -- 6.4.1 The Newns-Anderson Model -- 6.4.2 Summary of the Newns-Anderson Approximation in Qualitative Terms -- 6.4.3 Electrostatic Effects in Atomic Adsorbates on Jellium -- 6.5 Important Trends in Surface Reactivity -- 6.5.1 Trend in Atomic Chemisorption Energies -- 6.5.2 Trends in Molecular Chemisorption -- 6.5.3 Trends in Surface Reactivity -- 6.5.4 Universality in Heterogeneous Catalysis -- 6.5.5 Scaling Relations -- 6.5.6 Appendix: Density Functional Theory (DFT) -- References -- 7 Kinetics of Reactions on Surfaces -- 7.1 Elementary Surface Reactions -- 7.1.1 Adsorption and Sticking -- 7.1.2 Desorption -- 7.1.3 Lateral Interactions in Surface Reactions -- 7.1.4 Dissociation Reactions on Surfaces -- 7.1.5 Intermediates in Surface Reactions -- 7.1.6 Association Reactions -- 7.2 Kinetic Parameters from Fitting Langmuir-Hinshelwood Models -- 7.3 Microkinetic Modeling -- 7.3.1 Reaction Scheme and Rate Expressions -- 7.3.2 Activation Energy and Reaction Orders. 7.3.3 Ammonia Synthesis Catalyst under Working Conditions -- References -- 8 Catalysis in Practice: Synthesis Gas and Hydrogen -- 8.1 Introduction -- 8.2 Synthesis Gas and Hydrogen -- 8.2.1 Steam Reforming: Basic Concepts of the Process -- 8.2.2 Mechanistic Detail of Steam Reforming -- 8.2.3 Challenges in the Steam Reforming Process -- 8.2.4 The SPARG Process: Selective Poisoning by Sulfur -- 8.2.5 Gold-Nickel Alloy Catalyst for Steam Reforming -- 8.2.6 Direct Uses of Methane -- 8.3 Reaction of Synthesis Gas -- 8.3.1 Methanol Synthesis -- 8.3.2 Fischer-Tropsch Process -- 8.4 Water-Gas Shift Reaction -- 8.5 Synthesis of Ammonia -- 8.5.1 History of Ammonia Synthesis -- 8.5.2 Ammonia Synthesis Plant -- 8.5.3 Operating the Reactor -- 8.5.4 Scientific Rationale for Improving Catalysts -- 8.6 Promoters and Inhibitors -- 8.7 The "Hydrogen Society" -- 8.7.1 The Need for Sustainable Energy -- 8.7.2 Sustainable Energy Sources -- 8.7.3 Energy Storage -- 8.7.4 Hydrogen Fuel Cells -- References -- 9 Oil Refining and Petrochemistry -- 9.1 Crude Oil -- 9.2 Hydrotreating -- 9.2.1 Heteroatoms and Undesired Compounds -- 9.2.2 Hydrotreating Catalysts -- 9.2.3 Hydrodesulfurization Reaction Mechanisms -- 9.3 Gasoline Production -- 9.3.1 Fluidized Catalytic Cracking -- 9.3.2 Reforming and Bifunctional Catalysis -- 9.3.3 Alkylation -- 9.4 Petrochemistry: Reactions of Small Olefins -- 9.4.1 Ethylene Epoxidation -- 9.4.2 Partial Oxidation and Ammoxidation of Propylene -- 9.4.3 Polymerization Catalysis -- References -- 10 Environmental Catalysis -- 10.1 Introduction -- 10.2 Air Pollution by Automotive Exhaust -- 10.2.1 The Three-Way Catalyst -- 10.2.2 Catalytic Reactions in the Three-Way Catalyst: Mechanism and Kinetics -- 10.2.3 Concluding Remarks on Automotive Catalysts -- 10.3 Air Pollution by Large Stationary Sources. 10.3.1 Selective Catalytic Reduction: The SCR Process -- 10.3.2 The SCR Process for Mobile Units -- References -- Appendix -- Questions and Exercises -- Index -- EULA. Niemantsverdriet, J W 9783527332687 print version oai:cds.cern.ch:2279610 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4875250 ebook ebook EBL201708 Chemical Physics and Chemistry SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2279587 SzGeCERN 20171214170604.0 9783319538174 electronic version 9783319538167 electronic version EBL 4866215 eng QA76.9.B45.G853 2018 5.7 Srinivasan, S Guide to big data applications Cham Springer 2017 567 p Studies in big data 26 Foreword -- Preface -- Acknowledgements -- Contents -- List of Reviewers -- Part I General -- 1 Strategic Applications of Big Data -- 1.1 Introduction -- 1.1.1 Better Processes -- 1.1.2 Better Products and Services -- 1.1.3 Better Customer Relationships -- 1.1.4 Better Innovation -- 1.2 From Value Disciplines to Digital Disciplines -- 1.2.1 Information Excellence -- 1.2.2 Solution Leadership -- 1.2.3 Collective Intimacy -- 1.2.4 Accelerated Innovation -- 1.2.5 Value Disciplines to Digital Disciplines -- 1.3 Information Excellence -- 1.3.1 Real-Time Process and Resource Optimization -- 1.3.2 Long-Term Process Improvement -- 1.3.3 Digital-Physical Substitution and Fusion -- 1.3.4 Exhaust-Data Monetization -- 1.3.5 Dynamic, Networked, Virtual Corporations -- 1.3.6 Beyond Business -- 1.4 Solution Leadership -- 1.4.1 Digital-Physical Mirroring -- 1.4.2 Real-Time Product/Service Optimization -- 1.4.3 Product/Service Usage Optimization -- 1.4.4 Predictive Analytics and Predictive Maintenance -- 1.4.5 Product-Service System Solutions -- 1.4.6 Long-Term Product Improvement -- 1.4.7 The Experience Economy -- 1.4.8 Experiences -- 1.4.9 Transformations -- 1.4.10 Customer-Centered Product and Service Data Integration -- 1.4.11 Beyond Business -- 1.5 Collective Intimacy -- 1.5.1 Target Segments, Features and Bundles -- 1.5.2 Upsell/Cross-Sell -- 1.5.3 Recommendations -- 1.5.4 Sentiment Analysis -- 1.5.5 Beyond Business -- 1.6 Accelerated Innovation -- 1.6.1 Contests and Challenges -- 1.6.2 Contest Economics -- 1.6.3 Machine Innovation -- 1.6.4 Beyond Business -- 1.7 Integrated Disciplines -- 1.8 Conclusion -- References -- 2 Start with Privacy by Design in All Big Data Applications -- 2.1 Introduction -- 2.2 Information Privacy Defined -- 2.2.1 Is It Personally Identifiable Information? -- 2.3 Big Data: Understanding the Challenges to Privacy. 2.3.1 Big Data: The Antithesis of Data Minimization -- 2.3.2 Predictive Analysis: Correlation Versus Causation -- 2.3.3 Lack of Transparency/Accountability -- 2.4 Privacy by Design and the 7 Foundational Principles -- 2.4.1 The 7 Foundational Principles -- 2.5 Big Data Applications: Guidance on Applying the PbD Framework and Principles -- 2.5.1 Being Proactive About Privacy Through Prevention -- 2.5.2 Data Minimization as the Default Through De-identification -- 2.5.3 Embedding Privacy at the Design Stage -- 2.5.4 Aspire for Positive-Sum Without Diminishing Functionality -- 2.6 Conclusion -- References -- 3 Privacy Preserving Federated Big Data Analysis -- 3.1 Introduction -- 3.2 Federated Data Analysis: Architecture and Optimization -- 3.2.1 Architecture -- 3.2.1.1 Server/Client Architecture -- 3.2.1.2 Decentralized Architecture -- 3.2.2 Distributed Optimization -- 3.2.2.1 The Newton-Raphson Method -- 3.2.2.2 Alternating Direction Method of Multipliers -- 3.3 Federated Data Analysis Applications -- 3.3.1 Applications Based on the Newton-Raphson Method -- 3.3.2 Applications Based on ADMM -- 3.3.2.1 Regression -- 3.3.2.2 Classification -- 3.3.2.3 Convergence and Robustness for Decentralized Data Analysis -- 3.4 Secure Multiparty Computation -- 3.4.1 Regression -- 3.4.2 Classification -- 3.4.3 Evaluation -- 3.5 Asynchronous Optimization -- 3.5.1 Asynchronous Optimization Based on Fixed-Point Algorithms -- 3.5.2 Asynchronous Coordinate Gradient Descent -- 3.5.3 Asynchronous Alternating Direction Method of Multipliers -- 3.6 Discussion and Conclusion -- References -- 4 Word Embedding for Understanding Natural Language:A Survey -- 4.1 Introduction -- 4.2 Word Embedding Approaches and Evaluations -- 4.2.1 Background -- 4.2.2 Neural Network Language Model -- 4.2.2.1 Restricted Boltzmann Machine (RBM) -- 4.2.2.2 Recurrent and Recursive Neural Network. 4.2.2.3 Convolutional Neural Network (CNN) -- 4.2.2.4 Hierarchical Neural Language Model (HNLM) -- 4.2.3 Sparse Coding Approach -- 4.2.4 Evaluations of Word Embedding -- 4.3 Word Embedding Applications -- 4.4 Conclusion and Future Work -- References -- Part II Applications in Science -- 5 Big Data Solutions to Interpreting Complex Systems in the Environment -- 5.1 Introduction -- 5.2 Applications: Various Datasets -- 5.2.1 Sample Applications -- 5.3 Big Data Tools -- 5.3.1 RapidMiner -- 5.3.2 Apache Spark -- 5.3.3 R -- 5.3.4 Other Tools -- 5.4 Case Study I: Florida Hurricane Datasets (1950-2013) -- 5.4.1 Background -- 5.4.2 Dataset -- 5.4.3 Data Analysis -- 5.4.4 Summary -- 5.5 Case Study II: Big Data in Environmental Microbiology -- 5.5.1 Background -- 5.5.2 Genome Dataset -- 5.5.3 Analysis of Big Data -- 5.5.4 Summary -- 5.6 Discussion and Future Work -- References -- 6 High Performance Computing and Big Data -- 6.1 Introduction -- 6.2 High Performance in Action -- 6.2.1 Defining a Data Pipeline -- 6.2.1.1 Events -- 6.2.1.2 Ingestion -- 6.2.1.3 Streaming Event Processing -- 6.2.1.4 Batch Event Processing -- 6.2.1.5 Data Store -- 6.2.1.6 Query/Data Warehouse Processing -- 6.2.2 Deploying for High Performance -- 6.3 High-Performance and Big Data Deployment Types -- 6.3.1 Platform as a Service (PaaS): Cloud Based Config-Ready Deployment -- 6.3.2 Cloud-Based Hardware Deployment -- 6.3.3 On-Premise Deployment -- 6.3.4 Big Data as a Service (BDaaS) -- 6.3.5 Summary -- 6.4 Software and Hardware Considerations for Building Highly Performant Data Platforms -- 6.4.1 Software Considerations -- 6.4.1.1 Data Ingestion Stacks -- 6.4.1.2 Data Processing Stacks -- 6.4.1.3 Data Stores -- 6.4.1.4 Indexing and Querying Engine -- 6.4.2 Getting the Best Hardware Fit for Your Software Stack -- 6.4.2.1 Data Ingestion Cluster -- 6.4.2.2 Stream or Data Processing Cluster. 6.4.2.3 Data Stores -- 6.4.2.4 Indexing and Query-Based Frameworks -- 6.4.2.5 Batch-Processing Frameworks -- 6.4.2.6 Interoperability Between Frameworks -- 6.4.2.7 Summary -- 6.4.3 On-Premise Hardware Configuration and Rack Placement -- 6.4.3.1 On-Premise -- 6.4.3.2 On-Premise Converged Infrastructure -- 6.4.4 Emerging Technologies -- 6.4.4.1 Software Defined Infrastructure (SDI) -- 6.4.4.2 Advanced Hardware -- 6.4.4.3 Intelligent Software for Performance Management -- 6.5 Designing Data Pipelines for High Performance -- 6.6 Conclusions -- References -- 7 Managing Uncertainty in Large-Scale Inversions for the Oil and Gas Industry with Big Data -- 7.1 Introduction -- 7.2 Improve Classification Accuracy of Bayesian Inversion Through Big Data Learning -- 7.2.1 Bayesian Inversion and Measurement Errors -- 7.2.2 Bayesian Graphical Model -- 7.2.3 Statistical Inference for the Gaussian Mixture Model -- 7.2.3.1 Distributed Markov Chain Monte Carlo for Big Data -- 7.2.4 Tests from Synthetic Well Integrity Logging Data -- 7.3 Proactive Geosteering and Formation Evaluation -- 7.3.1 Inversion Algorithms -- 7.3.1.1 The Deterministic Inversion Method -- 7.3.1.2 The Statistical Inversion Method -- 7.3.2 Hamiltonian Monte Carlo and MapReduce -- 7.3.3 Examples and Discussions -- 7.3.3.1 Tests from Synthetic Data -- 7.3.3.2 Test from Field Data -- 7.3.4 Conclusion -- References -- 8 Big Data in Oil & Gas and Petrophysics -- 8.1 Introduction -- 8.2 The Value of Big Data for the Petroleum Industry -- 8.2.1 Cost -- 8.2.1.1 SaaS (Software as a Service) -- 8.2.1.2 Cost Flexibility -- 8.2.1.3 Reduced IT Support -- 8.2.1.4 Efficiency -- 8.2.2 Collaboration -- 8.2.2.1 Ideal Ecosystem -- 8.2.2.2 Collaboration Enhancement by Universal Cloud-based Database Organization -- 8.2.2.3 Collaboration Enhancement by Calculation. 8.2.2.4 Collaboration Enhancement by Low Cost Subscription Model -- 8.2.2.5 Collaboration Enhanced by Intuitive Browser -- 8.2.3 Knowledge (Efficiency & Mobility) -- 8.2.3.1 Workflow Variety -- 8.3 General Explanation of Terms -- 8.3.1 Big Data -- 8.3.2 Cloud -- 8.3.3 Browser -- 8.4 Steps to Big Data in the Oilfield -- 8.4.1 Past Steps -- 8.4.2 Actual Step: Introduce Real Cloud Technology -- 8.4.2.1 What Is GeoFit? -- 8.4.2.2 Why Use a Universal Cloud-Based Hybrid Database? -- 8.4.2.3 Workflow Engine -- 8.4.2.4 Cloud Instantiation -- 8.4.2.5 Viewing -- 8.4.3 Structure Your Data Before You Go Big -- 8.4.3.1 Project Structure -- 8.4.4 Timestamping in the Field -- 8.5 Future of Tools, Example -- 8.6 Next Step: Big Data Analytics in the Oil Industry -- 8.6.1 Planning a Big Data Implementation -- 8.6.1.1 Planning Storage -- 8.6.1.2 Planning CPU Capacity -- 8.6.1.3 Planning Memory Requirements -- 8.6.2 Eventual Consistency -- 8.6.3 Fault Tolerance -- 8.6.4 Time Stamping in Big Data -- 8.7 Big Data is the future of O&G -- 8.8 In Conclusion -- References -- 9 Friendship Paradoxes on Quora -- 9.1 Introduction -- 9.1.1 Organization of the Chapter and Summary of Results -- 9.2 A Brief Review of the Statistics of Friendship Paradoxes: What are Strong Paradoxes, and Why Should We Measure Them? -- 9.2.1 Feld's Mathematical Argument -- 9.2.2 What Does Feld's Argument Imply? -- 9.2.3 Friendship Paradox Under Random Wiring -- 9.2.4 Beyond Random-Wiring Assumptions: Why Weak and Strong Friendship Paradoxes are Ubiquitous in Undirected Networks -- 9.2.5 Weak Generalized Paradoxes are Ubiquitous Too -- 9.2.6 Strong Degree-Based Paradoxes in Directed Networks and Strong Generalized Paradoxes are Nontrivial -- 9.3 Strong Paradoxes in the Quora Follow Network -- 9.3.1 Definition of the Network and Core Questions. 9.3.2 All Four Degree-Based Paradoxes Occur in the Quora Follow Network. 9783319538167 print version oai:cds.cern.ch:2279587 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4866215 ebook ebook EBL201708 Computing and Computers SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2279581 SzGeCERN 20170906005814.0 9780081020081 electronic version 9780081020098 electronic version EBL 4865439 eng QC795.N388 2017 541 Schroeyers, Wouter Naturally occurring radioactive materials in construction integrating radiation protection in reuse (COST Action Tu1301 NORM4BUILDING) Cambridge Elsevier Science 2017 338 p Front Cover -- Naturally Occurring Radioactive Materials in Construction: Integrating Radiation Protection in Reuse (COST Action Tu1301 N ... -- Copyright -- Contents -- List of contributors -- Authors' Biography -- Chapter 1: The COST Action NORM4Building -- Chapter 2: Introduction -- References -- Further Reading -- Chapter 3: Basic aspects of natural radioactivity -- 3.1. Radioactivity -- 3.2. Naturally occurring radioactive materials -- 3.3. Radiation physics -- 3.3.1. Interaction of radiation with matter -- 3.3.2. Radiation doses and units -- 3.4. Radiation exposure -- 3.4.1. Structure of radiation dose -- 3.4.2. External radiation -- 3.4.3. Internal radiation -- 3.5. Principal radiation characteristics of NORM -- 3.5.1. Activity concentration of natural radionuclides -- 3.5.2. Radon emanation and exhalation -- 3.6. Conclusions -- References -- Chapter 4: Legislative aspects -- 4.1. Introduction -- 4.2. Evolution of the EU legislative approach to natural radioactivity in building materials -- 4.2.1. Radiation protection 96 -- 4.2.2. Radiation protection 112 -- 4.2.3. Radiation protection 122 part II -- 4.3. Council Directive 2013/59/Euratom laying down basic safety standards for protection against the dangers arising from ... -- 4.3.1. Council Directive 2013/59/Euratom and CPR 305/2011 -- 4.4. Drinking water Directive -- 4.5. Analysis of national legislations -- 4.6. Examples of national legislations -- 4.6.1. Austria -- 4.6.2. Belgium -- 4.6.3. Czech Republic -- 4.6.4. Example of a non-European approach: Australia -- 4.7. Screening tools -- 4.7.1. Different approaches to modeling -- 4.7.2. The EU BSS index -- 4.7.3. A new family of screening tools -- 4.7.4. Israeli index -- 4.7.5. Austrian index -- 4.7.6. Screening tool I(ρd) -- 4.8. Conclusions and recommendations -- References -- Chapter 5: Measurement of NORM -- 5.1. Introduction. 5.2. Measurements by gamma-ray spectrometry -- 5.2.1. Semiconductor spectrometry -- 5.2.1.1. Activity and uncertainty calculation -- 5.2.1.2. In situ spectrometry -- Strategy of measurements -- Measurement results and uncertainty -- 5.2.1.3. Laboratory gamma-ray spectrometry -- Sampling of NORM raw materials and by-products -- Application -- 5.2.2. Scintillation spectrometry -- 5.2.3. Calibration and metrological assurance -- 5.2.4. EU proposal of a harmonized standard for building products -- 5.2.4.1. Background -- 5.2.4.2. Scope -- 5.2.4.3. The robustness testing -- 5.2.4.4. Summary -- 5.3. Dose rate measurement -- 5.3.1. Preliminaries -- 5.3.2. Energy dependence -- 5.3.3. Angle dependence -- 5.4. Radon measurement -- 5.4.1. Basic information on radon and progeny -- 5.4.2. Radon and radon progeny measurement methods -- 5.4.2.1. Classification of the methods -- 5.4.2.2. Radon detection principles -- 5.4.3. Measurement of indoor radon concentration -- 5.4.4. Measurements of radon emanation and exhalation -- 5.4.4.1. Radon surface exhalation rate -- 5.4.4.2. Radon mass exhalation rate -- 5.4.4.3. Radon emanation coefficient -- 5.4.5. Modeling indoor radon concentration from radon exhalation -- 5.4.6. Estimation of the contribution from the building material to the indoor radon concentration -- 5.5. Conclusions and recommendations -- Annex A. Uncertainties, decision threshold (decision limit), and detection limit (lower limit of detection) -- A1. Uncertainty in gamma-spectrometry -- A2. Decision threshold and detection limit in gamma spectrometry -- A3. Application of DL and LLD in gamma-spectrometry -- A4. Example for the determination of peak area, DL and LLD -- A5. Uncertainties in dosimetry -- Annex B. Calibration and metrological assurance for semiconductor detectors. Annex C. Uncertainties in estimation of annual average indoor radon concentration -- References -- Chapter 6: From raw materials to NORM by-products -- 6.1. Introduction -- 6.2. NORM4Building database -- 6.2.1. Collection of data -- 6.2.2. Structure of the built database -- 6.2.3. Utilizing the built database -- 6.3. Coal mining and combustion -- 6.3.1. Coal fly ash -- 6.3.1.1. Technical properties -- 6.3.1.2. Radiological properties -- 6.3.2. Coal bottom ash -- 6.3.2.1. Technical properties -- 6.3.2.2. Radiological properties -- 6.4. Ferrous industry: iron and steel production -- 6.4.1. Slag from iron and steel -- 6.4.1.1. Technical properties -- 6.4.1.2. Radiological properties -- 6.5. Nonferrous industry -- 6.5.1. Nonferrous slag -- 6.5.1.1. Technical properties -- 6.5.1.2. Radiological properties -- 6.5.2. Bauxite residue also known as red mud -- 6.5.2.1. Technical properties -- 6.5.2.2. Radiological properties -- 6.5.3. Aluminum dross -- 6.5.3.1. Technical properties -- 6.5.3.2. Radiological properties -- 6.5.4. Zircon and zirconia -- 6.5.4.1. Technical properties -- 6.5.4.2. Radiological properties -- 6.6. Phosphate industry -- 6.6.1. Phosphogypsum -- 6.6.1.1. Technical properties -- 6.6.1.2. Radiological properties -- 6.7. Conclusions -- ANNEX A. Crystalline, granulated and expanded of foamed slag -- References -- Chapter 7: From NORM by-products to building materials -- 7.1. Introduction -- 7.1.1. Recycling of industrial by-products in building materials -- 7.1.2. Radiological consideration for recycling of industrial by-products in building materials -- 7.2. Portland cement and concretes -- 7.2.1. Introduction -- 7.2.2. Coal fly ash -- 7.2.2.1. Technical properties -- 7.2.2.2. Radiological properties -- 7.2.3. Coal bottom ash -- 7.2.3.1. Technical properties -- 7.2.3.2. Radiological properties -- 7.2.4. Slags from iron and steel production. 7.2.4.1. Technical properties -- 7.2.4.2. Radiological properties -- 7.2.5. Copper slag -- 7.2.5.1. Technical properties -- 7.2.5.2. Radiological properties -- 7.2.6. Red mud -- 7.2.6.1. Technical properties -- 7.2.6.2. Radiological properties -- 7.2.7. Overall discussion of radiological aspects of Portland cements and concretes -- 7.3. Alkali-activated cement and concretes (geopolymers) -- 7.3.1. Introduction -- 7.3.2. Blast-furnace slag -- 7.3.2.1. Technical properties -- 7.3.2.2. Radiological properties -- 7.3.3. Coal fly ash -- 7.3.3.1. Technical properties -- 7.3.3.2. Radiological properties -- 7.3.4. Steel-melting slags -- 7.3.4.1. Technical properties -- 7.3.4.2. Radiological properties -- 7.3.5. Red mud -- 7.3.5.1. Technical properties -- 7.3.5.2. Radiological properties -- 7.3.6. Nonferrous slag -- 7.3.6.1. Technical properties -- 7.3.6.2. Radiological properties -- 7.3.7. Granulated phosphorus slag -- 7.3.7.1. Technical properties -- 7.3.7.2. Radiological properties -- 7.3.8. Overall discussion of radiological aspects of alkali-activated cements and concretes -- 7.4. Ceramics -- 7.4.1. Introduction -- 7.4.2. Coal fly ash -- 7.4.2.1. Technical properties -- 7.4.2.2. Radiological properties -- 7.4.3. Steel slag -- 7.4.3.1. Technical properties -- 7.4.3.2. Radiological properties -- 7.4.4. Aluminum-rich by-products -- 7.4.4.1. Technical properties -- 7.4.4.2. Radiological properties -- 7.4.5. Zircon and zirconia ceramic products -- 7.4.5.1. Technical properties -- 7.4.5.2. Radiological properties -- 7.4.6. Overall discussion of the radiological aspects of ceramics -- 7.5. Gypsum -- 7.5.1. Introduction -- 7.5.2. Phosphogypsum -- 7.5.2.1. Technical properties -- 7.5.2.2. Radiological properties -- 7.5.3. Overall discussion of the radiological aspects of phosphogypsum -- 7.6. General conclusion. Appendix A. Toxic and radioactive waste immobilization by alkali-activated cement and concretes -- References -- Chapter 8: Leaching assessment as a component of environmental safety and durability analyses for NORM containing buildin ... -- 8.1. Introduction -- 8.2. Leaching assessment -- 8.3. Standard leaching tests and analysis -- 8.3.1. Characterization leaching tests -- 8.3.1.1. pH dependence -- 8.3.1.2. Percolation test -- 8.3.1.3. Monolith leach test -- 8.3.1.4. Compacted granular leach test -- 8.3.1.5. Redox capacity test -- 8.3.1.6. Sorptive phase parameters -- 8.3.1.7. Chemical analysis -- 8.3.2. Intercomparability of EPA and EU methods -- 8.3.3. Uncertainty -- 8.4. Leaching test results for specific constituents and materials -- 8.4.1. Leaching data for U, Th, K, Po-210, Pb-210, Ra-226, and others from materials of interest -- 8.4.2. Leaching behavior of alkali-activated cements and cements with coal fly ash -- 8.5. Use of geochemical speciation and reactive transport modeling -- 8.5.1. Modeling of radionuclide release behavior -- 8.5.2. Influence of redox conditions and carbonation -- 8.6. Scenario-based approach to leaching assessment -- 8.6.1. Overview of scenario approach -- 8.6.2. Case study radiological impact assessment -- 8.7. Conclusions and recommendations for evaluation of norm -- References -- Further Reading -- Chapter 9: Nontechnical aspects that influence the reuse of NORM in construction industry -- 9.1. Introduction -- 9.2. The issues -- 9.2.1. Size of by-product stream -- 9.2.2. Properties and status of the by-product -- 9.2.3. Product process interaction -- 9.2.4. Environmental and health issues -- 9.2.5. Type of recycling -- 9.2.6. Potential market and acceptance/perception aspects -- 9.2.7. Cost aspects throughout the chain -- 9.2.8. Competition with other by-products. 9.2.9. CE marking and other certification aspects. 9780081020098 print version oai:cds.cern.ch:2279581 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4865439 ebook ebook EBL201708 Chemical Physics and Chemistry SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2279578 SzGeCERN 20171214170603.0 9783662548233 electronic version 9783662548219 electronic version EBL 4865417 eng TJ1280.T6 2018 621.91999999999996 To, Sandy Suet Materials characterisation and mechanism of micro-cutting in ultra-precision diamond turning Berlin Springer 2017 269 p Preface -- Contents -- Fundamentals -- 1 Single Point Diamond Turning Technology -- Abstract -- References -- 2 Factors Influencing Machined Surface Quality -- Abstract -- 2.1 Machine Tools -- 2.2 Vibration in Machining -- 2.3 Cutting Conditions -- 2.4 Single Point Diamond Tools -- 2.5 Environmental Conditions -- 2.6 Workpiece Materials -- 2.7 Deformation Behaviour of Materials in Machining -- References -- 3 Modelling and Simulation for Ultra-Precision Machining -- Abstract -- 3.1 Analytical and Numerical Methods for Machining Process Modelling -- 3.1.1 Slip-Line Field Modelling of Machining -- 3.1.2 Molecular Dynamics Simulation of Machining -- 3.1.3 Quasicontinuum (QC) Method -- 3.1.4 Meshfree Method -- 3.1.5 Discrete Element Method -- 3.1.6 Finite Element Method -- 3.2 Models of Chip Formation and Shear Bands Theory -- 3.2.1 The Chip Formation Process and Models in Metal Cutting -- 3.2.2 Shear Band Formation and Chip Morphology -- 3.2.3 The Shear Angle Relationship -- References -- Materials Characterisation in Ultra-Precision Diamond Turning -- 4 Machinability of Single Crystals in Diamond Turning -- Abstract -- 4.1 Key Aspects in Diamond Turning of Single Crystals -- 4.1.1 The Ultra-Precision Machine -- 4.1.2 Diamond Tools -- 4.1.3 Measurement of Surface Roughness -- 4.1.4 Measurement of Cutting Force -- 4.1.5 Work Materials and Cutting Conditions -- 4.2 Effect of Crystallography on Surface Roughness -- 4.2.1 Surface Features with Crystallographic Orientation -- 4.2.2 Surface Roughness Profiles Along Radial Sections -- 4.2.3 Degree of Roughness Anisotropy (DRA) -- 4.3 Variation of Cutting Force -- 4.3.1 Effect of Feed Rate on the Cutting Force -- 4.3.2 Effect of Depth of Cut on the Cutting Force -- 4.4 Observation on Chip Formation -- References -- 5 Materials Deformation Behaviour and Characterisation -- Abstract. 5.1 Techniques for Materials Characterisation -- 5.1.1 X-ray Diffraction -- 5.1.2 Nano-indentation Measurements -- 5.1.3 Nanoscratch Testing -- 5.1.4 Transmission Electron Microscopy (TEM) -- 5.2 Characterisation of the Diamond-Turned Surface Layer -- 5.2.1 X-ray Diffraction Line Profile Analysis -- 5.2.2 Microhardness and Elastic Modulus of Machined Surface -- 5.2.3 Friction Coefficient -- 5.2.4 Dislocation Density and Structure of Diamond-Turned Surface Layers -- 5.3 Influences of Material Swelling upon Surface Roughness -- 5.3.1 Materials Swelling Effect -- 5.3.2 Characterisation Techniques -- 5.3.3 Formation of Surface Roughness in Machining -- References -- 6 Material Electropulsing Treatment and Characterisation of Machinability -- Abstract -- 6.1 Basics of Electropulsing Treatment -- 6.1.1 Development of Electropulsing Treatment -- 6.1.2 Theory of Electropulsing Treatment -- 6.2 Effect of Electropulsing Treatment on Microstructural Changes -- 6.2.1 Technical Aspects of Electropulsing Treatment -- 6.2.1.1 Static Electropulsing Treatment -- 6.2.1.2 Dynamic Electropulsing Treatment -- 6.2.2 Phase Transformation and Microstructural Changes -- 6.2.3 Dislocation Identity -- 6.2.4 Driving Forces for Phase Transformations -- 6.2.5 Electropulsing Kinetics -- 6.3 Machinability Enhancement by Electropulsing Treatment -- References -- 7 Microplasticity Analysis for Materials Characterisation -- Abstract -- 7.1 Shear Angle and Micro-Cutting Force Prediction -- 7.1.1 Microplasticity Model for Shear Angle Prediction -- 7.1.2 Texture Softening Factor -- 7.1.2.1 Selection of Active Set of Slip Systems -- 7.1.2.2 Determination of Texture Softening Factor -- 7.1.3 Criterion for Shear Angle Prediction -- 7.1.4 Prediction of Micro-Cutting Forces Variation -- 7.2 Variation in Shear Angle and Cutting Force -- 7.2.1 Shear Angle Predictions and Experimental Methods. 7.2.2 Power Spectrum Analysis of Cutting Force -- 7.3 Microstructual Characterisation of Deformation Banding -- 7.3.1 Typical Cutting-Induced Shear Band -- 7.3.2 Orthogonal Cutting-Induced Kink Band -- 7.3.3 Cutting Induced Kinking Within the Sliding Region -- References -- Theory and Mechanism of Ultra-Precision Diamond Turning -- 8 Shear Bands in Ultra-Precision Diamond Turning -- Abstract -- 8.1 Shear Band Theory for Deformation Processes in Machining -- 8.2 Regularly Spaced Shear Bands and Morphology of Serrated Chips -- 8.3 Finite Element Method Modelling for Elastic Strain-Induced Shear Bands -- 8.3.1 Characterisation of Elastic Strain-Induced Shear Bands -- 8.3.2 Finite Element Method Modelling -- 8.3.2.1 Setup of Finite Element Model -- 8.3.2.2 Simulation Results and Analysis -- The Initiation of Shear Bands -- The Propagation of Shear Bands -- 8.4 Analytical Model of Shear Band Formation and Influences -- 8.4.1 Onset of the Formation of Shear Bands -- 8.4.2 Formation of Shear Bands -- 8.4.3 An Analytical Model of Cyclic Fluctuation of Cutting Force -- 8.4.4 The Cyclic Fluctuation of the Displacement of the Tool Tip -- 8.5 Generalised Shear Angle Model -- References -- 9 Tool-Tip Vibration at High Frequencies -- Abstract -- 9.1 Identification of Tool-Tip Vibration by Power Spectrum Analysis -- 9.2 Characteristic Twin Peaks and Material Properties -- 9.3 Modelling of Tool-Tip Vibration -- 9.3.1 An Impact Model Without Damping -- 9.3.2 Non-harmonic Periodic Excitation with Process Damping Effect -- 9.4 Representative Measurement Method -- 9.4.1 Influence of Tool-Tip Vibration on the Machined Surface -- 9.4.1.1 Cutting Experiments -- 9.4.1.2 Identification of Tool-Tip Vibration on the Machined Surface Profile -- 9.4.2 Effect of Sample Locations on Surface Roughness -- 9.4.3 Effect of Sample Area Ratios and Representative Measurement. 9.5 Modelling and Characterisation of Surface Roughness Generation -- 9.5.1 Surface Generation Model with Tool-Tip Vibration -- 9.5.2 Formation of Spiral Marks on the Machined Surface -- 9.5.3 Spatial Error on the Profile in the Feed Direction -- References -- 10 Dynamic Modelling of Shear Band Formation and Tool-Tip Vibration in Ultra-Precision Diamond Turning -- Abstract -- 10.1 A Transient Analysis for Shear Band Formation -- 10.2 Dynamic Model for Shear Band Formation -- 10.2.1 Dynamic Model -- 10.2.2 The Effect of Equivalent Cutting Velocity -- 10.2.3 Validation and Application -- References. Wang, Hao Lee, Wing Bing 9783662548219 print version oai:cds.cern.ch:2279578 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4865417 ebook ebook EBL201708 Engineering SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2279562 SzGeCERN 20210421210610.0 9780309452571 electronic version electronic version 9780309452571 print version 9780309452588 electronic version electronic version oai:cds.cern.ch:2279562 cerncds:BOOK EBL 4863061 eng TH7703.A874 2017 621.30999999999995 Assessment of solid-state lighting, phase two Washington, DC National Academies Press 1969 117 p ebook Pages:1 to 25 -- Pages:26 to 50 -- Pages:51 to 75 -- Pages:76 to 100 -- Pages:101 to 117. EBL201708 SzGeCERN Engineering BOOK Division on Engineering and Physical Sciences Board on Energy and Environmental Systems Committee on Assessment of Solid-State Lighting, Phase 2 https://cds.cern.ch/auth.py?r=EBLIB_P_4863061 ebook n 201732 21 PUBLIC https://catalogue.library.cern/legacy/2279562 BOOK MIGRATED 2279560 SzGeCERN 20180515232352.0 9780128123874 electronic version 9780128123867 electronic version EBL 4863036 eng QD561.M537 2017 541.37199999999996 Poole, Robert K Microbiology of metal ions San Diego, CA Elsevier Science 2017 394 p Advances in microbial physiology 70 Front Cover -- Microbiology of Metal Ions -- Copyright -- Contents -- Contributors -- Preface -- References -- Chapter One: Bacterial Haemoprotein Sensors of NO: H-NOX and NosP -- 1. Physiological Functions of Nitric Oxide -- 2. sGC: The Animal NO Sensing Protein -- 3. Discovery of a Bacterial NO Sensing Protein: H-NOX -- 4. Ligand-Binding Properties of H-NOX Domains -- 5. Structure and the Molecular Basis for Function in H-NOX Domains -- 5.1. Ligand Discrimination in H-NOX Domains -- 5.2. Haem Distortion and Its Role in Signal Transduction -- 5.3. Histidine Dislocation and Its Role in Signal Transduction -- 6. Biochemical Functions of H-NOX Proteins -- 6.1. H-NOX and HaCE Signalling -- 6.2. H-NOX and Two-Component Signalling -- 6.3. H-NOX and Methyl Accepting Chemotaxis Signalling -- 6.4. H-NOX as a Redox Sensor -- 7. A Novel NO Sensing Protein in Bacteria: NosP -- 8. Perspectives and Conclusions -- References -- Chapter Two: Manganese in Marine Microbiology -- 1. Introduction -- 2. Brief Overview of Mn Speciation in Marine Systems -- 3. Manganese-Transforming Microbes -- 4. Observations of Microbial Mn Cycling in the Marine Environment -- 4.1. Mn Oxidation -- 4.2. Mn Reduction -- 5. Manganese in Microbial Respiration -- 5.1. Mn Oxidation -- 5.2. Mn Reduction -- 6. Mn(II) Oxidation Decoupled From Energy Generation -- 6.1. Mn Oxidation -- 6.2. Mn Reduction -- 7. Intercellular Mn and Mn-Based Enzymes in Microbial Physiology -- 8. Other Potential Physiological Impacts of Manganese -- 9. Concluding Remarks -- Acknowledgements -- References -- Chapter Three: Nutritional Immunity and Fungal Pathogenesis: The Struggle for Micronutrients at the Host-Pathogen Interface -- 1. An Introduction to Human Fungal Pathogens -- 2. The Infected Host as a Nutritionally Restrictive Environment -- 3. Iron Nutritional Immunity and Fungal Assimilation. 3.1. A Multistage Haemoglobin Iron Assimilation Pathway in C. albicans -- 3.2. Ferritin Iron Utilisation by C. albicans -- 3.3. Conserved and Contrasting Behaviour in Environmentally Acquired Pathogens -- 3.4. Siderophore-Mediated Iron Assimilation by A. fumigatus -- 4. An Emerging Role for Zinc Assimilation in Fungal Pathogenesis -- References -- Chapter Four: Metal-Based Combinations That Target Protein Synthesis by Fungi -- 1. Introduction -- 2. Copper Action on Functions Essential for mRNA Translation -- 3. Chromium Action on Transport Processes Leading to mRNA Mistranslation -- 4. Exploitation of New Insights to Metal Action, for Fungal Control -- 5. Concluding Remarks -- Acknowledgement -- References -- Chapter Five: Transition Metal Homeostasis in Streptococcus pyogenes and Streptococcus pneumoniae -- 1. Role of Transition Metals in Biology -- 2. General Aspects of the Biology of Streptococci -- 2.1. Pathogenesis -- 2.2. Cellular Biochemistry of Metals -- 2.2.1. Iron -- 2.2.2. Manganese -- 2.2.3. Zinc -- 2.2.4. Copper -- 2.3. Interaction With Innate Immune System -- 2.3.1. Neutrophils -- 2.3.2. Macrophages -- 2.4. Physiology and Metabolism -- 2.5. Oxidative Stress Responses -- 2.5.1. Direct Detoxification -- 2.5.2. Indirect Detoxification -- 3. Metal Ions and Their Role in Infection Control Within the Host -- 3.1. Metal Starvation Within the Host -- 3.1.1. Iron -- 3.1.2. Zinc -- 3.1.3. Manganese -- 3.2. Metal Overload -- 3.2.1. Copper -- 3.2.2. Zinc -- 4. Mechanisms for Metal Ion Homeostasis -- 4.1. Iron -- 4.1.1. Dpr -- 4.1.2. Uptake -- 4.1.2.1. Sia/Hts Uptake Pathway for Haem -- 4.1.2.2. Siu/Fhu/Fts -- 4.1.2.3. Pia(Fhu) and Piu -- 4.1.2.4. Pit -- 4.1.3. Efflux -- 4.1.3.1. Pef -- 4.1.4. Regulation -- 4.1.4.1. PerR -- 4.1.4.2. MtsR -- 4.1.4.3. PefR -- 4.1.4.4. RitR -- 4.2. Manganese -- 4.2.1. Uptake -- 4.2.1.1. PsaBCA/PsaD -- 4.2.1.1.1. PsaR. 4.2.1.2. Mts -- 4.2.1.2.1. MtsR -- 4.2.2. Efflux -- 4.2.2.1. MntE -- 4.3. Zinc -- 4.3.1. RpsN.2 -- 4.3.2. Uptake -- 4.3.2.1. Adc -- 4.3.2.2. Pht -- 4.3.2.3. AdcR -- 4.3.3. Efflux -- 4.3.3.1. CzcD -- 4.4. Copper -- 4.4.1. Uptake -- 4.4.2. Efflux -- 4.4.2.1. Cop -- 4.4.3. Regulation -- 5. Metals as Antimicrobials -- 6. Concluding Remarks -- Acknowledgements -- References -- Chapter Six: Copper and Antibiotics: Discovery, Modes of Action, and Opportunities for Medicinal Applications -- 1. Introduction -- 2. Copper's Reactivity and Interaction With Biological Molecules -- 2.1. Copper's Coordination Chemistry -- 2.2. Redox Cycling of Copper -- 2.3. Copper's Specific Interaction With Proteins -- 2.3.1. Copper-Mediated Oxidative Damage on Proteins -- 2.3.2. Mismetallation of Proteins -- 2.3.3. Degeneration of Iron-Sulphur Clusters -- 2.3.4. Disulphide or Thioether Bond Linkages -- 2.3.5. Protein Folding -- 2.4. Copper's Interactions With Membranes -- 2.4.1. Copper's Coordination to Select Phospholipids -- 2.4.2. Lipid Oxidation -- 2.5. Deoxyribonucleic Acid -- 2.6. Metabolites -- 3. Microbial Copper Acquisition and Tolerance Mechanisms -- 3.1. Copper Acquisition -- 3.2. Copper Defence Strategies -- 3.3. Nutritional Immunity -- 4. Copper-Dependent Inhibitors as Antibacterial Agents -- 4.1. Brief History of the Successes and Failure of Antibiotic Discovery -- 4.2. Repurposing Copper as a Directed Antimicrobial Therapeutic -- 4.3. Foundational Compounds -- 4.3.1. Disulfiram -- 4.3.2. 8-Hydroxyquinoline -- 4.3.3. Thiosemicarbazones -- 4.3.4. Phenanthroline -- 4.3.5. Pyrithione -- 4.4. Interactions With Clinical Antibiotics -- 4.5. High-Throughput Discovery of CDIs -- 4.6. The NNSNs as a New CDI Scaffold -- 5. Conclusions -- Acknowledgements -- References -- Chapter Seven: Metal Resistance and Its Association With Antibiotic Resistance -- 1. Introduction. 2. Antimicrobials -- 2.1. Antibiotics -- 2.2. Antibacterial Biocides -- 2.3. Antimicrobial Metals -- 3. AMR: Ancient and Modern -- 3.1. Antibiotic Resistance -- 3.2. Metal Resistance -- 3.3. AMR and Antimicrobial Metal Resistance in the 20th Century -- 3.4. Antimicrobial Metals and Metal Resistances -- 3.4.1. Mercury Resistances and Integrons -- 3.4.1.1. The Mer Mercury Resistance System -- 3.4.1.2. Tn21 Mercury Resistance -- 3.4.1.3. Integrons Carried on Mercury Transposons -- 3.4.2. Copper/Silver Resistance -- 3.4.2.1. Copper Resistance -- 3.4.2.1.1. The Cue System -- 3.4.2.1.2. The Cus System -- 3.4.2.1.3. The Pco System -- 3.4.2.1.4. The Cop System -- 3.4.2.2. Silver Resistance -- 3.4.2.3. Arsenic and Antimony Resistance -- 3.4.2.3.1. Arsenic and Antimony Resistance Conferred by the Ars Operon -- 3.4.2.4. Other Metals -- 3.4.2.4.1. Zinc -- 3.4.2.4.2. Zinc Resistance -- 4. Co-Selection, Co-Resistance, and Cross-Resistance -- 4.1. Co-Selection -- 4.2. Co-Resistance Mechanisms (Genetic Linkage of Resistance Genes) Between Antibiotic and Metal Resistance -- 4.3. Cross-Resistance and Co-Regulation Mechanisms for Antibiotic and Metal Resistance -- 4.4. Selected Studies Evaluating the Co-Selective Ability of Metals by Metal Exposure -- 5. Plasmids, Fitness Costs and Selection Pressure -- 5.1. Plasmids and Other MGEs -- 5.2. Fitness Costs and Selection Pressures -- 6. Current Models and Knowledge Gaps -- 7. Conclusion and Future Perspectives -- Acknowledgements -- References -- Chapter Eight: The Role of Intermetal Competition and Mis-Metalation in Metal Toxicity -- 1. Introduction -- 1.1. Biological Metal Usage -- 1.2. Metal Chemistry and Biochemistry -- 2. Metal Homeostasis -- 2.1. What Determines Metal Binding Inside Cells? -- 2.2. How Do Cells Detoxify Excess Metal?. 2.3. The Crucial Role of Metal-Dependent Transcriptional Regulators in Bacterial Metal Homeostasis -- 3. Metal Toxicity Mechanisms -- 3.1. Studying Metal Toxicity -- 3.2. Oxidative Stress Generation -- 3.3. Inappropriate Intracellular Metal Binding -- 3.4. Extracellular Metal Competition in Metal Toxicity -- 4. Conclusions -- Acknowledgements -- References -- Back cover. 9780128123867 print version oai:cds.cern.ch:2279560 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4863036 ebook ebook EBL201708 Chemical Physics and Chemistry SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2279555 SzGeCERN 20210421210611.0 9781681084190 electronic version electronic version 9781681084206 electronic version electronic version 9781681084206 print version oai:cds.cern.ch:2279555 cerncds:BOOK EBL 4862906 eng QC174.12.S744 2017 530.12 Stefanescu, Eliade Open quantum physics and environmental heat conversion into usable energy v.2 Sharjah Bentham Science Publishers 2017 252 p ebook EBL201708 MULTIVOLUMES1 SzGeCERN General Theoretical Physics BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4862906 ebook 201708 n 201732 21 PUBLIC https://catalogue.library.cern/legacy/2279555 BOOK MIGRATED 2279554 SzGeCERN 20170906005814.0 9780128036822 electronic version 9780128036570 electronic version EBL 4862661 eng TK5105.59.J377 2017 5.8 Jarpey, Gregory Security operations center guidebook a practical guide for a successful SOC Oxford Elsevier Science 2017 208 p Front Cover -- Security Operations Center Guidebook -- Copyright Page -- Dedication -- Contents -- Introduction -- A Rocky Start -- I. Developing Your Security Operations Center -- 1 What is a Security Operations Center? -- Third Party -- Hybrid -- Dedicated -- Historical Lessons -- 2 Needs Assessment -- Risk Assessment -- Types of Companies -- A Single Suite in a Larger Office Complex That Operates Primarily During Business Hours -- A Single Location Dedicated to Only Your Company, with no Other Tenants -- A Single Campus with Multiple Buildings -- Multiple Locations Located in the Same Metro Area -- Multiple Locations Spread across a Single Country and Multiple Locations Spread across Several Countries -- Additional Considerations -- Historical Lessons -- Vulnerable Adults -- Modest Beginnings -- 3 Business Case -- Example -- Historical Lessons -- First Attempt -- A Unique Approach -- 4 Building Your SOC -- Workstations -- Historical Lessons -- 5 Staffing Options -- Training -- Career Progression -- Retention -- Historical Lessons -- II. Operations -- 6 Responsibilities and Duties -- Introduction -- Welcome to the SOC-You Have an Important Role -- Mission Statement -- SCO Job Description -- Sample SCO Job Description -- Position Summary -- Duties and Responsibilities -- Qualifications -- Physical Demands/Environmental Conditions -- Hiring and Interviewing Your SCO Candidate -- Sample Interview Questions for a SCO -- Staffing and Schedule -- Sample Three-Week Rotation -- Supervisory Authority -- Staff Responsibility -- Historical Lessons -- 7 Post Orders and Procedures -- Introduction -- Setting Up Your Post Orders -- Create a Shared Email Address for Security Inquiries and Requests -- Performance of Duties -- Example Post Order Table of Contents Setup and Their Purpose -- Chapter One-Introduction -- Chapter Two-Duties. Chapter Three-Call Center Procedures -- Chapter Four-Emergency Procedures -- Chapter Five-Standards and Policies -- Chapter Six-Equipment Procedures -- Chapter Seven-Post Order Changes and Updates -- Chapter Eight-Appendices -- Site Procedures -- Section One-Site Info -- Section Two-Intrusion Alarm Response -- Section Three-Fire Alarm Response -- Section Four-Mechanical Alarms -- Section Five-Contact Lists -- Section Six-Special Instructions -- Historical Lessons -- 8 Training Programs -- Introduction -- Getting Started -- New Hire Training Schedule -- Individual Training Checklist -- Monthly, Quarterly, and Annual Training -- Historical Lessons -- 9 Enterprise Access Control -- Introduction -- Setting Up Your Physical Access Control System -- Operator Permissions -- Card Access Programming and Control -- Setting up and Controlling Your Restricted Areas Access -- Creating a Restricted Area -- Access Approvals, Denials, and Removals -- Access Control Matrix -- Site Access Control -- Follow These Steps -- System Status Checks -- Troubleshooting -- Historical Lessons -- 10 Alarm Monitoring -- Introduction -- Physical Access Control System (PACS) or Intrusion Detection System (IDS) Alarms -- Alarm Instructions -- Receiving Alarms -- How an Alarm is Handled Depends on the Three Steps of Assessment -- Response -- Response for Alarms for Sites with Security Officers -- Alarms for Sites with No Guards -- Mechanical Alarms -- Panic Alarms -- Reduce Your False Alarms -- Historical Lessons -- 11 Enterprise Video Surveillance -- Introduction -- Operator Permissions -- Setting Up Your Video Monitoring System -- Remote Video Patrol -- Alarm Response -- Investigative Support -- Civil Disturbance: Strikes, Protests, or Demonstrations -- Daily System Status Checks -- Historical Lessons -- 12 Working with Your Vendors -- Introduction -- Scope of Work. Your Company Profile -- Account Management -- Installation or Service Work Responsibilities for the Vendor -- Your Company Responsibilities -- Security System Descriptions -- Change Orders -- Project Completion or Site Commission -- Service Calls and Work Orders -- Historical Lessons -- 13 Incident Reporting -- Introduction -- Confidentiality -- You Must Have an Electronic Incident Report Form -- You Need a Centralized Database -- Different Modes of Incident Reporting -- The Direct Call -- Online Incident Report Form -- Security Officer from Sites -- SCO Writes their Own Report -- Historical Lessons -- 14 Communication Plan -- Introduction -- Communicating Corporatewide -- Notification Lists Also Known as Call Trees -- Example Emails to Send from the SOC -- Lost Card Usage Example -- Card Expired Example -- Mass Notification Alert System -- Mass Notification Alert Authorization Lists -- SOC's Positive Response to an Alert Request Equals Regular Training -- Alert Request Sample Procedure -- Threat Management Teams -- Crisis Management Teams -- Historical Lessons -- 15 The Emergency Operations Center -- Introduction -- Why the SOC is a THE Place for Your EOC -- No One Size Fits All -- Historical Lessons -- III. Making the SOC an Integral Part of Your Company -- 16 Customer Service is Key -- Introduction -- What Does Your Company Need from Security? -- Set the Expectations -- Mistakes Will Happen-Own Them, Fix Them, Follow Up, and Move On -- Historical Lessons -- 17 Metrics -- Introduction -- Incident Reports -- Types of Metrics -- Phone Stats -- Performance Metrics -- Service Level Agreements -- Historical Lessons -- 18 Developing Partnerships -- Introduction -- Start from within -- The Most Obvious Partners-Safety and Facilities -- Information Technology (IT) Department -- Law Enforcement Agencies and Officers -- Vendors-Yes, Vendors Too. Historical Lessons -- 19 Brand Awareness -- Introduction -- One-stop Shop -- What is YOUR Brand? -- The SOC is your BRAND -- Advertising Your Brand -- Rome Was NOT Built in a Day -- Historical Lessons -- 20 Continuous Improvement -- Introduction -- Pick Your Points -- Get a Black Belt or Become One -- Historical Lessons -- Index -- Back Cover. McCoy, Scott 9780128036570 print version oai:cds.cern.ch:2279554 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4862661 ebook ebook EBL201708 Computing and Computers SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2279549 SzGeCERN 20210421210612.0 9780128121030 electronic version electronic version 9780128121030 print version 9780128123157 electronic version electronic version oai:cds.cern.ch:2279549 cerncds:BOOK EBL 4862053 eng TK2901.P747 2017 621.31241999999997 Touati, Khaled Pressure retarded osmosis renewable energy generation and recovery San Diego, CA Elsevier Science 2017 190 p ebook Front Cover -- Pressure Retarded Osmosis -- DEDICATION -- Pressure Retarded OsmosisRenewable Energy Generation and RecoveryEdited byKhaled TouatiFernando TadeoSung Ho ChaeJoon Ha Ki ... -- Copyright -- CONTENTS -- PREFACE -- ACKNOWLEDGMENTS -- INTRODUCTION -- 1 PRESSURE RETARDED OSMOSIS -- 2 THIS BOOK -- One - Pressure Retarded Osmosis as Renewable Energy Source -- 1. INTRODUCTION -- 2. SALINITY GRADIENT ENERGY -- 2.1 Free Energy of Mixing -- 3. PRESSURE RETARDED OSMOSIS -- 3.1 Osmotic Processes -- 3.1.1 Reverse Osmosis -- 3.1.2 Forward Osmosis -- 3.1.3 Pressure Retarded Osmosis -- 3.2 Reversible Mixing in Pressure Retarded Osmosis -- 3.3 Nonreversible Mixing in Pressure Retarded Osmosis (Pressure Retarded Osmosis Under Constant Applied Pressure) -- 3.4 Basic Concept of Pressure Retarded Osmosis -- 3.5 Water and Salt Fluxes Across a Pressure Retarded Osmosis Membrane in Ideal and Real Cases -- 3.5.1 Ideal Membrane With Perfect Hydrodynamics -- 3.5.2 Realistic Membrane With Reverse Salt Flux and Concentration Polarization -- 3.5.3 Concentration Polarization in Pressure Retarded Osmosis -- 3.5.3.1 Internal Concentration Polarization -- 3.5.3.2 External Concentration Polarization -- 3.5.3.2.1 Concentrative External Concentration Polarization -- 3.5.3.2.2 Dilutive External Concentration Polarization -- 3.6 Pressure Retarded Osmosis Power Density -- 4. DEVELOPMENT OF PRESSURE RETARDED OSMOSIS -- 4.1 Chronological Evolution of the Pressure Retarded Osmosis Process -- 4.2 Pressure Retarded Osmosis Models' Progress -- 4.2.1 Loeb Model -- 4.2.2 Lee Model -- 4.2.3 Achilli Model -- 4.2.4 Yip Model -- 4.2.5 Sivertsen Model for a Hollow Fiber Pressure Retarded Osmosis Membrane -- 4.2.6 Touati Model -- 4.3 Pressure Retarded Osmosis Membranes Development -- 4.3.1 Flat-Sheet Membrane Development -- 4.3.1.1 Cellulose Acetate Membrane. 4.3.1.2 Thin-Film Composite Pressure Retarded Osmosis Membrane -- 4.3.2 Hollow Fiber Pressure Retarded Osmosis Membrane -- 5. INTEGRATION OF PRESSURE RETARDED OSMOSIS WITH DESALINATION PROCESSES -- 6. PRESSURE RETARDED OSMOSIS LIMITATIONS AND SUGGESTED SOLUTIONS -- 6.1 Membrane Fouling -- 6.2 Membrane Scaling -- 6.3 Concentration Polarization -- 6.4 Membrane Deformation -- 7. PRESSURE RETARDED OSMOSIS ENERGY COST -- 8. ENVIRONMENTAL IMPACT -- 9. FINAL CONSIDERATIONS AND CONCLUSIONS -- REFERENCES -- FURTHER READING -- Two - Water and Salt Fluxes in Pressure Retarded Osmosis -- 1. INTRODUCTION -- 2. MODELING -- 2.1 Basic Models for Water and Salt Fluxes -- 2.2 Concentration Polarization -- 2.2.1 Internal Concentration Polarization -- 2.2.2 External Concentration Polarization -- 2.2.2.1 External Concentration Polarization on the Draw Solution Side -- 2.2.2.2 External Concentration Polarization on the Feed Solution Side -- 2.3 Model of the Water and Salt Fluxes -- 3. MATERIALS AND METHODS -- 3.1 Solution Chemistries -- 3.2 Membranes -- 3.3 Pressure Retarded Osmosis Bench Scale -- 4. EXPERIMENTAL -- 4.1 Evaluation of Membrane Coefficients -- 4.2 Model Validation -- 4.3 Effect of the Concentrations of Feed and Draw Solutions -- 4.4 Effect of the Flow Rate Velocity -- 4.5 Effect of the Flow Mode -- 4.6 Effect of Feed and Draw Solution Temperatures -- 5. EFFECT OF THE OPERATING CONDITIONS ON THE REVERSE SALT FLUX -- 5.1 Effect of the Osmotic Pressure Difference -- 5.2 Effect of the Cross-Flow Velocity -- 5.3 Effect of the Draw Solution Composition -- 5.3.1 The Hydrated Energy -- 5.3.2 Effect of the Membrane Orientation -- 5.4 Effect of the Membrane Characteristics -- 6. THEORETICAL DISCUSSION OF THE RATIO JS/JW -- 7. IMPLICATIONS ON FULL-SCALE POWER PLANT -- 8. CONCLUSIONS -- REFERENCES -- FURTHER READING -- Three - Effects of the Temperatures on PRO. 1. INTRODUCTION -- 2. MODEL OF THE TEMPERATURE PROFILE THROUGH THE MEMBRANE -- 3. THEORY -- 4. EFFECT OF THE OPERATING TEMPERATURE ON THE FEED AND DRAW SOLUTION CHEMISTRY -- 4.1 The Osmotic Pressure -- 4.2 The Diffusion Coefficient D -- 5. EFFECT OF THE BULK TEMPERATURES ON THE MEMBRANE TEMPERATURE DISTRIBUTION -- 6. EFFECT OF THE BULK TEMPERATURES ON THE MEMBRANE PARAMETERS -- 6.1 Effect of the Temperatures on the Water Permeability Coefficient A -- 6.2 Effect on the Salt Permeability Coefficient B -- 6.3 Effect on the Structure Parameter s -- 6.4 Effect of the Temperature on the Solute Resistivity K -- 7. EFFECT OF THE OPERATING TEMPERATURE ON THE HYDRODYNAMICS PARAMETERS -- 7.1 Reynolds, Schmidt, and Sherwood Numbers -- 7.2 The Boundary Layer Thickness δ -- 7.3 Effect of the Temperature on the Mass Transfer Coefficient k -- 8. EFFECT OF THE TEMPERATURE ON THE SPECIFIC SALT FLUX JS/JW -- 9. CONCLUSION -- REFERENCES -- FURTHER READING -- Four - Integration of PRO into Desalination Processes -- 1. INTRODUCTION -- 2. ENERGY CONSUMPTION OF THE DESALINATION PROCESSES -- 2.1 Energy Consumption of Reverse Osmosis -- 2.2 Energy Consumption of Thermal Desalination Processes -- 2.3 Minimum Energy for Separation -- 3. ENERGY RECOVERY FROM SEAWATER REVERSE OSMOSIS -- 3.1 Ideal Seawater Reverse Osmosis-Pressure Retarded Osmosis Case -- 3.2 Realistic Seawater Reverse Osmosis-Pressure Retarded Osmosis Case -- 4. ENERGY RECOVERY FROM TWO-STAGED SEAWATER REVERSE OSMOSIS -- 4.1 One-Stage Pressure Retarded Osmosis -- 4.1.1 First Seawater Reverse Osmosis-Pressure Retarded Osmosis Design Modeling -- 4.1.2 Second Seawater Reverse Osmosis-Pressure Retarded Osmosis Design Modeling -- 4.2 Multistage Pressure Retarded Osmosis -- 4.2.1 Multistage Pressure Retarded Osmosis Design Modeling -- 4.2.2 Multistage Pressure Retarded Osmosis With Seawater Reverse Osmosis Process. 5. ENERGY RECOVERY FROM THERMAL DESALINATION PROCESSES -- 5.1 Multiple Effect Distillation-Pressure Retarded Osmosis -- 5.2 Membrane Distillation-Pressure Retarded Osmosis and Seawater Reverse Osmosis-Membrane Distillation-Pressure Retarded Osmosis -- 6. CONCLUSION -- Acknowledgment -- REFERENCES -- FURTHER READING -- Five - Implementing Salinity Gradient Energy at River Mouths -- 1. INTRODUCTION -- 2. THEORETICAL ENERGY FROM MIXING FRESHWATER AND SEAWATER -- 3. ENVIRONMENTAL CONSTRAINTS -- 4. RELIABILITY OF THE ENERGY EXPLOITATION -- 5. EFFICIENCY OF THE ENERGY CONVERSION -- 6. EFFECTS OF THE SALINITY STRUCTURE ON THE POTENTIAL -- 7. FOULING: A MAJOR CHALLENGE -- 8. FINAL REMARKS AND PROSPECTIVE -- REFERENCES -- INDEX -- A -- B -- C -- D -- E -- F -- G -- H -- I -- L -- M -- N -- O -- P -- R -- S -- T -- U -- W -- Y -- Back Cover. EBL201708 Engineering SzGeCERN BOOK Tadeo, Fernando Kim, Joon Ha Silva, Oscar Andres Alvarez https://cds.cern.ch/auth.py?r=EBLIB_P_4862053 ebook n 201732 201708 21 PUBLIC https://catalogue.library.cern/legacy/2279549 BOOK MIGRATED 2279488 SzGeCERN 20210421210620.0 9781771884358 electronic version electronic version 9781771884358 print version 9781771884365 electronic version electronic version oai:cds.cern.ch:2279488 cerncds:BOOK EBL 4845329 eng R857.P6 .N388 2017eb 610.28/4 Volova, Tatiana G Natural-based polymers for biomedical applications Oakville Apple Academic Press 2017 460 p ebook Cover -- Half Title -- Title -- Copyright -- CONTENTS -- List of Abbreviations -- Preface -- About the Editors -- Introduction -- PART I: REQUIREMENTS FOR BIOMATERIALS: THE POSITION AND POTENTIAL OF DEGRADABLE POLYHYDROXYALKANOATES -- 1: Creation and Use of Environmentally Friendly Materials as an Important Part of Critical Technologies of the 21st Century -- 2: Polyhydroxyalkanoates: Natural Degradable Biopolymers -- PART II: MICROCARRIERS OF PHAs FOR CELL TECHNOLOGY AND DRUG DELIVERY -- 3: Potentials of Polyhydroxyalkanoates as Materials for Constructing Cell Scaffolds in Tissue Engineering -- 4: Degradable Polyhydroxyalkanoates as a Basis for Drug Delivery Systems -- PART III: IMPLANTS AND CELL GRAFTS OF PHAs FOR TISSUE REGENERATION -- 5: Potentials of Polyhydroxyalkanoates for Repair of Skin Defects -- 6: Potential of Polyhydroxyalkanoates for Bone Defect Repair -- PART IV: PERSPECTIVES FOR USING PHAS IN ABDOMINAL SURGERY -- 7: A Study of Mesh Implants Coated with a Biocompatible Polyhydroxyalkanoates Layer -- 8: A Study of Polyhydroxyalkanoates as Materials for Designing Fully Resorbable Biliary Stents -- Conclusion -- Index. EBL201708 Health Physics and Radiation Effects SzGeCERN BOOK Vinnik, Yuri S Shishatskaya, Ekaterina I Markelova, Nadejda M Zaikov, Gennady E https://cds.cern.ch/auth.py?r=EBLIB_P_4845329 ebook n 201732 201708 21 PUBLIC https://catalogue.library.cern/legacy/2279488 BOOK MIGRATED 2279444 SzGeCERN 20210421210626.0 9781315340920 electronic version electronic version 9789814745338 electronic version electronic version 9789814745338 print version oai:cds.cern.ch:2279444 cerncds:BOOK EBL 4779008 eng QD415.U487 2017 531.163 Haacke, Stefan Ultrafast dynamics at the nanoscale biomolecules and supramolecular assemblies Singapore Pan Stanford Publishing 2017 470 p ebook Cover Page -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- SECTION I EXPERIMENT -- 1 Excited States of Single-Stranded DNA Revealed by Femtosecond Transient Absorption Spectroscopy -- 1.1 Introduction -- 1.1.1 Origins -- 1.2 The TA Experiment -- 1.2.1 The TA Signal -- 1.2.2 Dispersive Pulse Broadening and Temporal Walk-off -- 1.3 Transient Absorption Signal Strength -- 1.3.1 Bleach Recovery Signals -- 1.3.2 DNA TA Experiments -- 1.4 Excited-State Dynamics of Single DNA Strands -- 1.4.1 Structure of (dA)n Single Strands -- 1.4.2 TA Signals from (dA)n Single Strands -- 1.4.3 Estimating Quantum Yields from Bleach Signals -- 1.4.4 Exciton Dynamics -- 1.5 Summary -- 2 Ultrafast Light-Induced Processes in DNA Photolyase and Its Substrate-Bound Complex -- 2.1 Introduction -- 2.2 Energy Transfer -- 2.3 Photoactivation -- 2.4 Photorepair -- 3 Dynamics and Mechanisms of Ultraviolet-Damaged DNA Repair by Photolyases -- 3.1 Introduction -- 3.2 Reaction Mechanism of CPD Repair by Photolyase -- 3.3 Reaction Mechanism of 6-4PP Repair by Photolyase -- 3.4 Electron-Tunneling Pathways in DNA Restoration -- 3.5 Concluding Remarks -- 4 Photoactive Yellow Protein: Converting Light into a Metastable Structural Change -- 4.1 Introduction -- 4.2 Ultrafast Experiments: How to ...? -- 4.3 Timescale and Mechanism of Isomerization -- 4.3.1 Timescales -- 4.3.2 Isomerization -- 4.3.2.1 Excited state -- 4.3.2.2 I0 state -- 4.3.2.3 I1 state -- 4.3.3 Mechanism -- 4.4 Role of Charges in the Protein Cavity -- 4.5 Role of Hydrogen Bonds to the Phenol Ring and the Carbonyl Group of the Chromophore -- 4.5.1 Hydrogen Bonds to the Phenol Ring -- 4.5.2 Hydrogen Bonds to the Carbonyl Group -- 4.6 Role of Water Molecules -- 4.7 Emerging Picture and Open Questions -- 4.8 Applications of PYP: General Aspects -- 4.9 Applications of PYP: Examples. 5 Energy Transfer Mechanisms in Nanobiohybrid Structures Based on Quantum Dots and Photosensitive Membrane Proteins -- 5.1 Introduction -- 5.2 Possible Energy Transfer Mechanisms in Nanobiohybrid Structures Based on Photosensitive Biomolecules and Quantum Dots: Nonradiative and Radiative Energy Transfer -- 5.3 The Quantum Dot-Bacteriorhodopsin Nanobiohybrid Structure -- 5.3.1 Bacteriorhodopsin: Structure and Function -- 5.3.2 Energy Coupling between Quantum Dots and Bacteriorhodopsin in Aqueous Media -- 5.3.3 Methods of Forming Heterostructures Containing Quantum Dot-Bacteriorhodopsin Complexes -- 5.3.4 Quantum Dot-Bacteriorhodopsin Hybrids in Dried Films as Media for Sensing and Optical Applications -- 5.3.5 Enhancement of the Biological Functions of Bacteriorhodopsin by Means of Coupling with Quantum Dots -- 5.4 The Quantum Dot-Photosynthetic Reaction Center Nanobiohybrid Structure -- 5.4.1 Bacterial Photosynthetic Reaction Centers: Structure and Properties -- 5.4.2 Energy Transfer from Quantum Dots to Bacterial Reaction Centers -- 5.5 Conclusions and Perspectives -- 6 Ultrafast Functional Dynamics in Proteins: Local Molecular Reporters and Femtosecond 2D Spectroscopy -- 6.1 Introduction -- 6.2 Photoinduced Charge Translocation and Dynamic Dielectric Response -- 6.2.1 Ultrafast Response of Amino Acids: Example of Retinal Proteins -- 6.2.2 Photoinduced Charge Transfer and Dielectric Dynamics Probed by Transient Trp Absorption -- 6.3 Local Fluctuation and Energy Redistribution in Biomolecules -- 6.3.1 Solvation and Local Fluctuation -- 6.3.2 Dissipation and Redistribution of Energy in Hemoproteins -- 6.4 Tracking Down Concerted Motions in Proteins and Molecular Devices: An Outlook on Coherent UV Spectroscopies -- 6.4.1 UV Multidimensional Spectroscopies -- 6.4.2 Pulse Shaping and Automatized UV 2D Spectrographs. 6.4.3 All-Optical Chemically Sensitive Coherent Spectroscopies -- 6.5 Conclusions/Final Remarks -- SECTION II THEORY -- 7 Ultrafast Exciton Dynamics in Correlated Environments -- 7.1 Photosynthesis and Energy Transfer -- 7.2 Quantum Dynamics in Fluctuating Environments -- 7.2.1 System-Environment Models -- 7.2.1.1 Quantum Langevin equation -- 7.2.1.2 Spin-boson model -- 7.2.1.3 Bloch equations -- 7.2.2 Methods: RESPET and QUAPI -- 7.2.2.1 Weak coupling approximation -- 7.2.2.2 Correlated environmental fluctuations -- 7.3 Excitation Energy Transfer Dynamics -- 7.3.1 Energy Transfer in Donor-Acceptor Systems -- 7.3.1.1 Multiphonon transitions -- 7.3.1.2 Coherence due to temporal correlations -- 7.3.1.3 Influence of spatial correlations -- 7.3.2 Exciton Dynamics in the FMO Complex -- 7.3.2.1 Coherence times in the FMO complex -- 7.3.2.2 High-energy vibrations -- 7.4 Summary and Outlook -- 8 Excitation Energy Transfer in Light-Harvesting Systems: Theory, Models, and Application -- 8.1 Introduction -- 8.2 Partial Linearized Density Matrix Propagation -- 8.3 Model Hamiltonian -- 8.4 Short-Time Coherent Dynamics and Long-Time Thermal Equilibrium from PLDM Propagation -- 8.5 The Eight-Site FMO Complex: A Model for in vivo Initial Excitation -- 8.6 Strength of System-Environment Coupling Optimizes Energy Transfer Dynamic Turnover Behavior -- 8.7 Excitation Dynamics in Phycocyanin 645 -- 8.8 Correlations between Site Energy Fluctuations -- 8.9 Concluding Remarks -- 9 Bridging the Gap between Coherent and Incoherent Resonance Energy Transfer Dynamics by Quantum Master Equations in the Polaron Picture -- 9.1 Introduction -- 9.2 System-Bath Hamiltonian and Formally Exact Quantum Master Equation -- 9.3 QME in the Weak System-Bath Coupling Limit -- 9.3.1 Time-Nonlocal Equation -- 9.3.2 Time-Local Equation -- 9.4 QME in the Polaron Picture -- 9.5 Practical Issues. 9.5.1 Physical Observables in the Polaron Picture -- 9.5.2 Assessment of Quantum Coherence -- 9.5.3 Numerical Implementation -- 9.6 Model Calculations -- 9.6.1 Two-State System -- 9.6.2 Three-State System -- 9.7 Applications -- 9.8 Summary and Outlook -- 10 Theory of Metal Nanoparticle-Affected Optical and Transport Properties in Supramolecular Complexes -- 10.1 Introduction -- 10.2 Collective Excitations of Metal Nanoparticle Electrons -- 10.2.1 Description of Dipole Plasmons -- 10.2.2 Description of Multipole Plasmons -- 10.3 Molecule Metal Nanoparticle Coupling -- 10.4 Description of a Spherical MNP -- 10.4.1 Coupling of an SC to a Spherical MNP -- 10.5 Photoinduced Processes in a Supramolecular Complex Coupled to a Metal Nanoparticle -- 10.5.1 Density Matrix Theory -- 10.5.2 Photoinduced Excitation Energy Transfer -- 10.5.3 Linear Absorption -- 10.5.4 Emission -- 10.6 Concluding Remarks -- 11 Ultrafast Energy and Charge Transfer in Functional Molecular Nanoscale Aggregates -- 11.1 Introduction -- 11.2 Electron-Hole Lattice Hamiltonian -- 11.2.1 Electron-Hole Basis -- 11.2.2 Wave Functions and Density Matrix Representation -- 11.2.3 Vibronic Hamiltonian in the e-h Basis -- 11.2.4 Effective-Mode Reduction Techniques -- 11.3 Quantum-Dynamical Calculations Using Multiconfigurational Methods -- 11.4 Exciton Migration and Relaxation at a Torsional Defect Site -- 11.4.1 Hamiltonian -- 11.4.2 Ultrafast Exciton Relaxation -- 11.5 Exciton Dissociation at an Oligothiophene-Fullerene Junction -- 11.5.1 Hamiltonian -- 11.5.2 Primary Exciton Break-Up Step -- 11.5.3 Formation of Charge-Separated States -- 11.6 Conclusions and Outlook -- 12 Ultrafast Spectroscopy: Quantum Information and Wave Packets -- 12.1 Introduction -- 12.2 The Quantum Process Matrix χ -- 12.2.1 Properties and Examples -- 12.2.2 QPT Algorithms -- 12.3 The Model System. 12.4 Frequency-Integrated Pump-Probe Spectroscopy -- 12.5 Relationship between Frequency-Integrated P P Spectra and the Process Matrix χ(T) -- 12.6 Conclusions -- 13 Simulating the Nonlinear Optical Response of Multichromophore Complexes -- 13.1 Two-Dimensional Spectra in the Limit of a Fast Environment -- 13.2 Classical and Adiabatic Environment: Vibrations in Peptides -- 13.3 Quantum Environment: Electronic Excitations in Molecular Aggregates -- 13.4 Nonlinear Spectra: Correlations and Line Shape -- 13.5 Conclusion -- Index. EBL201708 General Theoretical Physics SzGeCERN BOOK Burghardt, Irene https://cds.cern.ch/auth.py?r=EBLIB_P_4779008 ebook n 201732 201708 21 PUBLIC https://catalogue.library.cern/legacy/2279444 BOOK MIGRATED 2279440 SzGeCERN 20180515232352.0 9781315399133 electronic version 9781498754576 electronic version EBL 4778655 eng K3990.E456 2017 621.4835 Elkmann, Paul Emergency planning for nuclear power plants Boca Raton, FL CRC Press 2017 379 p Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- List of Figures and Equations -- List of Tables -- Preface -- Chapter 1 Overview and History -- Introduction -- Why Plan? Some Historical Context -- Overview of Radiological Concepts -- Overview of Reactor Plant Designs -- Boiling Water Reactors -- Pressurized Water Reactors -- Fission Product Barriers -- General Emergency Preparedness History -- Evolution of Radiological Emergency Preparedness -- Contents of Emergency Plans -- Reactor Accident Consequence Studies -- Three Mile Island Accident and Regulatory Response -- Creation of the Federal Emergency Management Agency -- Evacuation Time Estimate Studies -- Planning Standards (10 CFR 50.47(b)) -- Radiation Protection and Protective Action Guides -- Chernobyl Disaster and Potassium Iodide -- Emergency Plan Exercises -- Offsite Authorities and the "Realism Doctrine" -- NUMARC Emergency Action Levels -- Hurricane Andrew, Turkey Point, and the Post-Disaster Reactor Restart Process -- Three Mile Island Intrusion Event and the Design Basis Threat -- Revised Reactor Oversight Program -- Post-9/11 Security Environment -- Public Alerting Siren Systems -- Emergency Broadcast and Emergency Alert Systems -- Homeland Security Exercise Evaluation Program -- Emergency Preparedness Rulemaking, November 2011 -- Accident at Fukushima Daiichi, Japan, March 2011 -- FEMA Radiological Emergency Preparedness Manual -- Small Modular Reactors -- Decommissioned Plants -- NUREG-0654, Revision 2 -- Chapter 2 Protective Responses -- Nuclear Regulatory Commission Safety Goals and Large Early Releases -- Defense in Depth -- Reasonable Assurance -- Design Basis -- Emergency Preparedness Planning Basis -- Emergency Planning Zones -- Exclusion Area -- Low Population Zone -- Nearest Population Center. Plume Phase and Ingestion Exposure Pathway Emergency Planning Zones -- Emergency Classifications -- United States Scheme -- International Scheme -- Emergency Action Levels -- NUREG-0654 Emergency Action Levels -- NUMARC Emergency Action Levels -- Expectations for Classifying an Emergency -- Notifications from Licensees to Offsite Authorities -- Changes to Emergency Action Levels -- Protective Action Guides -- Available Choices for Intervention (Countermeasures) -- Protective Measures on Licensee Sites -- Offsite Protective Measures -- Protective Measures Guidance -- Protective Action Recommendations and Wind Shifts -- Potassium Iodide as a Protective Measure for the Public -- Evacuation Time Estimate Studies -- Post-Plume Protective Measures for the Public -- Emergency Notification to the Public -- Congregate Care and Pets -- Radiological Protection of Emergency Workers -- Personal Dosimetry -- Potassium Iodide for Emergency Workers -- Respiratory Protection for Emergency Workers -- Chapter 3 Core Damage and Related Concepts -- Introduction -- General Method -- Definitions -- Fuel Damage -- Core Damage Frequency -- Reactor Fuel -- Isotopes of Interest in Reactor Accidents -- Total Core Inventory -- Half-Life -- External Radiation Dose Factor -- Inhalation Dose Factor -- Limitations on Measurement -- Source Term and Core Inventory -- Core States -- Core Damage Frequency -- Severe Accidents -- Accidents Involving Stored Irradiated Reactor Fuel -- World Reactor Accident Experience -- Damage to Reactors from Site Attack -- Accident Sequences -- Sources of Releases -- Drywell and Containment Radiation Monitors -- Fuel Storage Pool Radiation Monitors -- Source Term Depletion -- Release Points (Airborne Pathways) -- Liquid Releases -- Plant Process Radiation Monitors -- In-Plant Air Samples -- Post-Accident Monitoring Systems. Chapter 4 Basics of Dispersion -- Introduction -- Routine Radiological Releases -- Discussion and Definitions -- Gaussian Dispersion Equation -- Atmospheric Stability -- Surface Roughness -- Variability in Plume Position -- Puff Releases -- Parameter Time Averaging -- Downwind Dispersion -- Mixing Layers -- Effects of Buildings -- Terrain Effects -- Sea and Land Breezes -- Mechanisms Reducing Plume Concentration -- Plume Mitigation or Intervention -- Radiation Dosimetry Models Associated with Dose Projection -- Dose Reduction from Building Walls -- Non-Gaussian Plume Models -- Segmented Gaussian Models -- Lagrangian Models -- Eulerian Grid Models -- K-Theory Models -- Errors and Uncertainty in Dose Assessment -- Field Validation of Model Results -- Liquid Releases -- Performance Requirements for Dose Assessment Models -- Using Protective Action Guides -- Initial and Expanded Protective Measures for the Public -- Meteorological Towers and Measurements -- Release in Progress -- Regulatory References -- Chapter 5 Environmental Monitoring -- Introduction -- Environmental Survey Teams -- Basic Monitoring Considerations -- Air Sampling -- Contamination -- Strategies for Managing Offsite Survey Teams -- Operating in Public -- Operating in Evacuated Areas -- Survey Operations in Challenging Security Situations -- Post-Plume Survey Missions -- Resuspension -- Post-Plume Priorities -- Iodine in Milk -- Food Crop Sampling -- Survey Team Communications -- Global Positioning Units -- Common Problems with Environmental Survey Teams -- Worker Safety for Survey Team Members -- Radiation Dosimeters -- Potassium Iodide -- Respiratory Protection Issues -- Anti-Contamination Clothing -- Protection from Personnel Safety Hazards -- Applicable Standards -- Chapter 6 Emergency Response Organizations and Facilities -- Emergency Response Organization -- Command-and-Control. On-Shift Organization -- Augmented Organization -- Definitions Related to Facility Staffing -- Minimum Facility Staffing -- Key Emergency Response Organization Personnel -- Emergency Response Organization Duty Teams -- Extended Emergency Response Organization Operations -- On-Shift Emergency Response Organization Staffing Analyses -- Emergency Response Organization and Incident Command System -- Emergency Response Facilities -- Reactor Control Room -- Technical Support Center -- Operations Support Center -- Emergency Operations Facility -- Emergency Operations Facilities Beyond 25 Miles from Site -- Emergency Operations Facilities for Multiple Sites -- Emergency News Center and Joint Information Center -- Media Monitoring and Rumor Control -- Communications to the Public Using the Internet and Social Media -- Backup Emergency Operations Facility -- Near-Site Facilities When the Emergency Operations Center Is 25 Miles or More from Site -- Loss of Emergency Response Facilities and Associated Reporting Requirements -- Backup Power for Licensee Emergency Response Facilities -- Offsite Emergency Response Facilities -- Incident Command Post -- Local Emergency Operations Centers -- Evacuee Reception Centers -- Emergency Worker Decontamination Centers -- State Emergency Operations Center -- State Forward Command Post -- Federal-Level Emergency Response Centers -- NRC Incident Response Centers -- National Response Coordination Center -- National Operations Center -- Federal Radiological Monitoring and Assessment Center -- Federal Joint Field Office -- Licensee Communications to the Nuclear Regulatory Commission -- Emergency Response Data System -- Incident Response Electronic Library -- Emergency Response Facility Staffing -- Facility Staffing Times -- Emergency Response Organization Callout -- Staffing During Hostile Actions. Testing Emergency Response Organization Staffing Times -- Active Tests -- Passive Tests -- Chapter 7 Drill and Exercise Programs -- Introduction -- Realism -- Conducting Drills and Exercises -- Drill Programs -- Distinction Between Radiological Monitoring and Health Physics Drills -- Drills as a Component of Exercises -- Immersion -- Relationship Between Drill and Exercise Objectives and Exercise Design -- Scenario Integrity -- Ground Rules -- Simulation -- Drillsmanship -- Validation -- Traditional Scenarios -- Weaknesses -- Exercise Critique Process -- Remedial Exercises -- Chapter 8 Regulatory Environment -- Introduction -- Reasonable Assurance -- Docket -- Licensing Basis -- Planning Standards -- Risk-Significant Planning Standards -- Emergency Plan -- Emergency Plan Implementing Procedures -- Self-Imposed Standards -- Changing the Emergency Plan -- Regulatory Margin in the Emergency Plan -- Maintaining the Emergency Preparedness Program -- Audits of the Emergency Preparedness Program -- Inspections -- Critique Process for Drills and Exercises -- Grading of Exercise Objectives by Participants -- Exercise Evaluations by FEMA -- Corrective Actions for Emergency Preparedness Issues -- Cross-Cutting Issues -- Performance Indicators -- Findings and Violations -- Significance Determination Process -- Enforcement -- Traditional Enforcement -- Cited and Non-Cited Violations -- Appeal Process -- Licensing Actions -- Assessing Licensee Performance -- Reporting Events or Conditions to the NRC -- Disaster-Initiated Review -- Bibliography -- Index. 9781498754576 print version oai:cds.cern.ch:2279440 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4778655 ebook ebook EBL201708 Engineering SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2279439 SzGeCERN 20180612223804.0 9781482218275 electronic version 9781482218268 electronic version EBL 4778642 eng G70.212.I584 2017 621.3678 Quattrochi, Dale A Integrating scale in remote sensing and GIS Boca Raton, FL CRC Press 2017 440 p Remote sensing applications series Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- List of Figures -- Series Foreword -- Preface -- Editors -- Contributors -- Introduction -- 1. On Scale in Space, Time, and Space-Time -- 2. Complexity and Geographic Scale -- 3. Scaling Geocomplexity and Remote Sensing -- 4. Fusion of Multiscaled Spatial and Temporal Data: Techniques and Issues -- 5. Error and Accuracy Assessment for Fused Data: Remote Sensing and GIS -- 6. Remote Sensing Techniques for Forest Fire Disaster Management: The FireHub Operational Platform -- 7. Geomorphometry and Mountain Geodynamics: Issues of Scale and Complexity -- 8. Downscaling on Demand: Examples in Forest Canopy Mapping -- 9. Multiscale Analysis of Urban Areas Using Mixing Models -- 10. Urban Road Extraction from Combined Data Sets of High-Resolution Satellite Imagery and Lidar Data Using GEOBIA -- 11. Integrating Remotely Sensed Climate and Environmental Information into Public Health -- 12. Scale in Disease Transmission, Surveillance, and Modeling -- 13. Remote Sensing and Socioeconomic Data Integration: Lessons from the NASA Socioeconomic Data and Applications Center -- Index. Wentz, Elizabeth Lam, Nina Siu-Ngan Emerson, Charles W 9781482218268 print version oai:cds.cern.ch:2279439 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4778642 ebook ebook EBL201708 Engineering SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2279433 SzGeCERN 20171214170600.0 9783319454214 electronic version 9783319454191 electronic version EBL 4773506 eng GE1-350 511.32 Fattore, Marco Partial order concepts in applied sciences Cham Springer 2016 305 p Preface -- Contents -- Contributors -- Part I Theoretical and Methodological Advances -- Endowing Posets with Flesh: If, Why and How? -- 1 Introduction -- 2 Why Not? -- 3 But Perhaps… -- 3.1 The Purpose and the Utility -- 3.2 The Data Themselves -- 4 So What? -- 4.1 The Purpose and the Policy Instruments -- 4.2 The "Model" Behind the Study -- 4.3 The Statistical Features of the Data -- 4.4 Representations of Uncertainty: Just One Hint -- 4.5 Back to the Essential Issue -- 5 A Real-Life Example Without Constructive Conclusions -- 5.1 The Project Outline -- 5.2 An Illustrative Case -- 6 Some Conclusions -- References -- Incomparability/Inequality Measures and Clustering -- 1 Some Notations and Definitions -- 2 Incomparability/Inequality Measures -- 3 Partitional Clustering -- 4 Two Examples -- 4.1 Application to Pattern Recognition: Optical Character Recognition (OCR) -- 4.2 Application to Archaeometry: Chemical Composition of Egyptian Bronzes -- 5 Conclusion -- References -- Incomparable: What Now, IV. Incomparabilities: A ModelingChallenge -- 1 Introduction -- 2 Material and Methods -- 2.1 The Case Study Data Set -- 2.2 MCDA and Partial Order, Some General Remarks -- 2.3 Basics of Hasse Diagram Technique (HDT) -- 2.3.1 HDT -- 2.3.2 Incomparabilities -- 2.3.3 Enrichment -- 2.4 Software -- 3 Incorporation of Knowledge About Weightsin the Partial Order Concept -- 3.1 Theoretical Basis -- 3.2 A Characterizing Quantity -- 3.3 Stability with Respect to Weight Intervals -- 4 Example -- 4.1 Inputs -- 4.2 Results -- 5 Conclusions -- 5.1 What Do We Gain? -- 5.2 A Possible Framework for a Systematic Analysis of Parameter-Dependent Posets -- 5.3 Future Work -- References -- Partial Ordering and Metrology Analyzing Analytical Performance -- 1 Introduction -- 2 Methods -- 2.1 The Basic Equation of Hasse Diagram Technique -- 2.2 The Hasse Diagram. 2.3 A Simple Tool -- 2.4 The More Elaborate Analyses -- 2.5 Data -- 2.6 Software -- 3 Results and Discussions -- 3.1 The Simple Approach -- 3.2 In-Depth Analyses -- 3.2.1 Average Ranks -- 3.2.2 A Closer Look at Incomparable Methods -- 3.2.3 Peculiar Methods -- 3.2.4 Fuzzy Partial Orders -- 3.2.5 Weight Intervals -- 4 Conclusions and Outlook -- References -- Functionals and Synthetic Indicators Over Finite Posets -- 1 Introduction -- 2 Notation and Basic Definitions -- 3 Quasi-Arithmetic Means -- 3.1 Aggregation Systems -- 3.2 Semigroup Representation of Quasi-Arithmetic Means -- 4 Building Functionals Over Finite Posets -- 4.1 Non-overlapping Generating Families of Posets -- 4.2 Axiomatic Properties of Functionals on (π0) -- 5 Application to Synthetic Index Construction: An Example -- 6 Conclusion -- References -- Evaluation, Considered as Problem Orientable Mathematics Over Lattices -- 1 Evaluations Using Parameters -- 1.1 An Evaluation of Refrigerants Under Ecological Aspects, L=[0,1]3 -- 1.2 A Test of Electronic Devices for CDs and DVDs, L={/,…} -- 2 A General Approach to Evaluation Over L -- 2.1 Evaluations as L-subsets -- 2.2 Set Theories for L-subsets -- 2.3 A Corresponding Logic -- 2.4 Examples of Residua for L=[0,1] -- 3 Exploration of the Evaluation E -- 3.1 The Exploration of a Binary Evaluationof the Refrigerants -- References -- A Combined Lexicographic Average Rank Approach for Evaluating Uncertain Multi-indicator Matrices with Risk Metrics -- 1 Introduction -- 2 Background on Average Rank, Lexicographic Approach, and Risk Measures -- 2.1 Average Rank -- 2.2 Lexicographic Approach -- 2.3 Risk Metrics and Compliance -- 3 Combined Approach -- 4 Case Study -- 5 Conclusions -- References -- Part II Partial Order Theory in Socio-economic Sciences -- Peculiarities in Multidimensional Regional Poverty -- 1 Introduction and Background Data. 2 Partial Order Approach, General Remarks -- 2.1 The Hasse Diagram Technique -- 2.2 The Peculiarity Rule -- 3 Results -- 3.1 Hasse Diagram -- 3.2 Local HD -- 3.3 Peculiar Regions -- 4 Conclusions -- Appendix -- References -- Application of Partial Order Theory to Multidimensional Poverty Analysis in Switzerland -- 1 Introduction -- 2 Conceptualizations and Measurements of Multidimensional Poverty -- 2.1 Evolution of Multidimensional Poverty's Conceptualizations -- 2.2 Measurements of Poverty -- 3 Data, Method, and Operationalization -- 3.1 Data and Method -- 3.2 Operationalization -- 4 Partial Order Theory's Application and Results -- 4.1 Statistical Software -- 4.2 Results -- 4.2.1 Model 1 (Core Model) -- 4.2.2 Model 2a and Model 2b -- 4.2.3 Model 2c -- 5 Conclusion -- Appendix -- References -- Analysis of Social Participation: A Multidimensional ApproachBased on the Theory of Partial Ordering -- 1 Social Participation: Sense of Community and Well-Being -- 2 Why Partial Order Theory? -- 3 Official Statistics -- 4 The Multidimensionality of Social Participation -- 5 Conclusions -- References -- POSET Analysis of Panel Data with POSAC -- 1 Introduction -- 2 The POSAC Procedure -- 2.1 A Few Toy Examples -- 3 POSAC in the Context of Panel Data -- 3.1 Case Study 1: Greenhouse and Pollutant Gas Emissions -- 3.2 Case Study 2: Euro Convergence Criteria -- 4 Conclusions -- References -- Partially Ordered Set Theory and Sen's Capability Approach: A Fruitful Relationship -- 1 Introduction -- 2 The Basic Elements of Sen's Capability Approach -- 3 Multidimensional Ordinal Data and Sen's Capability Approach -- 3.1 Multidimensionality -- 3.2 Ordinality -- 4 Evaluation in Ordinal Multidimensional Setting by POSET Theory According to a Perspective à la Sen -- 4.1 Critical Analysis of Mainstream Evaluation Approaches -- 4.2 Partial Ordering and POSET Theory. 5 Concluding Remarks -- References -- Part III Partial Order Theory in Environmental Sciences -- Ranking Chemicals with Respect to Accidents Frequency -- 1 Introduction -- 2 Materials and Method -- 2.1 Denominator Selection -- 2.2 Ranking -- 2.3 Confidence Limits on Frequency Estimates -- 3 Data and Results -- 3.1 Partial Order -- 3.2 Sensitivity Analysis -- 3.3 Total Order -- 4 Conclusion -- References -- Formal Concept Analysis Applications in Chemistry: From Radionuclides and Molecular Structure to Toxicity and Diagnosis -- 1 Introduction -- 2 Applications to Structure-Activity Relationships (Mutagenicity) -- 2.1 Substances Attributes -- 2.2 FCA Rules and Interpretation -- 3 Applications to Structure-Activity Relationships (Hepatotoxicity) -- 3.1 Drugs Attributes -- 3.2 FCA Rules and Interpretation -- 4 Applications to Nuclear Chemistry (PET Radionuclides) -- 4.1 β+ Radionuclides Attributes -- 4.2 FCA Rules and Interpretation -- 5 Applications to Biotechnology (Uranium Bioremediation) -- 5.1 Bioremediation Attributes -- 5.2 FCA Rules and Interpretation -- 6 Conclusions and Outlook -- References -- Partial Order Analysis of the Government Dependence of the Sustainable Development Performance in Germany's Federal States -- 1 Introduction -- 2 Method -- 3 Results and interpretation -- 3.1 Comparison of Bavaria and Schleswig Holstein: General remarks -- 3.2 The Partial Orders of Bavaria and Schleswig Holstein -- 3.3 Average Heights -- 3.4 Similarity Between the Partial Order of SH and BY -- 3.5 Extension to Other Federal States -- 4 Conclusion and Outlook -- References -- Part IV New Applications of Partial Order Theory -- A Matching Problem, Partial Order, and an Analysis Applying the Copeland Index -- 1 Introduction -- 2 Materials and Methods -- 3 Example -- 4 Discussion -- 5 Conclusion -- References. Application of the Mixing Partial Order to Genes -- 1 Introduction -- 2 A Short Digression on Notation and Diagrams -- 3 The Young Diagram Lattice and Mixing -- 4 Rainbow Trout Gene Example -- 5 Numerical Results -- 6 Conclusions and Discussion -- References -- Analyzing Ethnopharmacological Data Matrices on Traditional Uses of Medicinal Plants with the Contribution of Partial Order Techniques -- 1 Introduction -- 2 Materials and Methods -- 2.1 Partial Order -- 2.1.1 Hasse Diagram technique -- 2.1.2 Cover Relation and Drawing a Hasse Diagram -- 2.1.3 Chains and Levels -- 2.1.4 Comparing Posets -- 2.1.5 Partial Orders Based on Binary Indicator Values -- 2.2 Data -- 2.3 Data Analysis -- 3 Results and Discussion -- 3.1 In the Absence of Panacea -- 3.2 From Uses of Medicinal Plants to Medical Categories -- 3.3 Use Value of Plants and Rank Order -- 3.4 Systematics, Phylogeny, and Evolution -- 3.5 Comparing Ethnopharmacological Data Matrices -- 4 Conclusions -- Appendix 1: Species List and Codes Used in the Partial Order Techniques -- Appendix 2: Uses and Codes Used in the Partial Order Techniques -- Appendix 3: Equivalence Classes of Fig. 3 -- Appendix 4: Equivalence Classes of Fig. 4 -- References -- Part V Software Developments -- PARSEC: An R Package for Partial Orders in Socio-Economics -- 1 Introduction -- 2 Incidence Matrices and Posets -- 2.1 Check Boolean Matrices -- 2.2 The Basic Achievement Poset -- 2.3 External Information on Attribute Relevance -- 3 From the Achievement Poset to the Incidence Function -- 3.1 Final Comparisons -- 4 Conclusion -- References -- »PyHasse« and Cloud Computing -- 1 Introduction -- 2 PyHasse 2 -- 3 Development Rethought -- 3.1 What Are the Missing Points? -- 3.2 Python Version -- 3.3 Presentation -- 3.4 Client-Server -- 3.5 Modular Concept -- 4 Development Process/Tools -- 4.1 Mercurial -- 4.2 PyFlakes -- 4.3 PyTest. 4.4 Pylint. Bruggemann, Rainer 9783319454191 print version oai:cds.cern.ch:2279433 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4773506 ebook ebook EBL201708 Mathematical Physics and Mathematics SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2279425 SzGeCERN 20180612223804.0 9781317528487 electronic version 9781857437454 electronic version EBL 4748651 eng HD9502.A2.H363 2017 621.042 Looney, Robert E Handbook of transitions to energy and climate security London Taylor and Francis 2016 527 p Routledge international handbooks Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of illustrations -- Preface -- List of contributors -- Abbreviations -- Part I: The policy setting -- 1. Introduction -- Overview -- Policy environment -- Country studies -- Completing the picture -- Notes -- 2. Evolving factors affecting energy security -- Introduction -- Supply, demand and energy security -- Evolving environmental factors -- Evolving climate change mitigation policies -- Evolving disruptive energy technologies -- Climate change mitigation technologies -- Transportation Sector -- Conclusion -- Notes -- 3. The climate and security imperative -- Growing appreciation of existing climate risks -- How security establishments view the climate change threat -- Infrastructure and geostrategic threats -- Geostrategic threats -- Increased state fragility -- Heightened globalization of hazards -- Added risks to key geostrategic environments -- Direct threats to state sovereignty -- The 3 Ds of prevention and response -- How does climate change compare to other security priorities? -- Securitization vs. militarization -- Better understanding climate and security risks -- Underestimating and oversimplifying the connections between climate change and security -- A reasonable level of certainty -- Existing risks and black swans -- What to do: a few recommendations -- Conclusion -- Notes -- 4. Climate change and energy security policies: Are they really two sides of the same coin? -- Possible meanings of energy security -- CO2 emissions and climate policy -- Revisiting climate policy and energy security -- Notes -- 5. Renewable energy in the MENA: Why did the Desertec approach fail? -- Introduction -- Renewable energy in the MENA: the state of development. Why did Desertec and the Mediterranean Solar Plan fail to boost a regional transition to renewables in the MENA? -- Debunking the myths of RES-E in the MENA -- Re-framing regional cooperation around a narrative of sustainable energy development -- Conclusion -- Notes -- 6. Frameworks for regional co-operation: The EU -- The European Union -- Traditional and new objectives in EU climate and energy policy -- Trends and challenges in EU climate and energy policy -- Outlook: energy and climate policies as a lighthouse project in troubled times? -- Notes -- 7. Regional coordination in energy systems and its impact on energy security -- Regional integration of electricity markets and renewables -- Sharing of energy knowledge and technologies -- Challenges to regional integration -- Regional coordination in Africa -- Regional coordination in South America -- Regional coordination in Europe -- Turkey: coordinating multiple regions -- Regional coordination in Southeast Asia: prospects of the Trans-ASEAN Gas Pipeline (TAGP) -- Regional coordination in the global context: COP21 -- Concluding remarks -- Notes -- PART II: Energy transitions in the carbon producing countries -- 8. In the furnace: Saudi Arabia and the dynamics of global climate change -- The gathering storm -- Saudi Arabia's strategic dilemmas and opportunities -- The politics of energy and climate change -- Strategic and policy implications -- Notes -- 9. Energy, climate and economic security, and Canada's road from oil exporter to deep decarbonization -- Introduction -- Argument 1: Energy supply security is a prerequisite for economic security, but does not require fossil fuels. -- Argument 2: Climate security can enhance economic security for fossil fuel importers, but reduces it for exporters. Argument 3: A necessary component of climate security is the undoing of the business case for producing fossil fuels by providin -- Conclusion -- Epilogue -- Notes -- 10. Energy transitions in carbon-producing countries: Russia -- Introduction -- Russia's energy consumption 2004-2014: identifying trends -- Russia's CO2 emissions 2005-2014 -- Causes of trends in Russia's energy consumption and related CO2 emissions -- Trends in Russia's energy consumption -- Russia in international climate politics -- Conclusions -- Notes -- 11. Energy and climate transitions in Mexico: The emergence of a "política ambiental de estado" -- Explaining Mexico's approach to climate change -- Climate change and Mexican public opinion -- Mexico and renewable energy -- Energy policy and climate under the Calderón administration: modernization and mainstreaming -- The Peña Nieto administration and energy reform: discovering a "green lining" -- Mexico and the international climate regime 2006-2015 -- Conclusion -- Notes -- 12. South Africa's pragmatic transition -- Introduction -- Energy patterns and trends -- Energy plans and resource shifts -- Conclusions -- Notes -- PART III: Energy transitions in the intermediate carbon-producing/ consuming countries -- 13. The politics behind the three Es in China: Economic growth, energy security and environmental protection -- Structural challenges -- Managing the twin challenges -- Politics in balancing energy and environment -- Recent developments -- Conclusion -- Notes -- 14. The USA's energy and climate transition: Partial success without a plan -- Introduction -- Trilemma patterns -- US efforts towards energy and climate security - the Bush Administrations -- US efforts towards energy and climate security - the first Obama Administration -- US efforts towards energy and climate security - the second Obama administration. Alternative strategies -- Conclusions -- Notes -- 15. The Great British energy transition? -- Introduction -- British energy in historical context -- The British energy transition: low carbon, domestic and centralized -- Conclusions -- Notes -- 16. Energy transitions and climate security in Brazil -- Introduction -- The Brazilian energy mix -- Energy security -- Economic competitiveness -- Climate security -- Conclusions -- Notes -- 17. Indonesia's energy trilemma -- Introduction -- Energy equity -- Energy security -- Environmental sustainability -- Challenges -- Risks -- Conclusion -- Notes -- 18. Egypt: The challenge of squaring the energy-environment-growth triangle -- Economic challenge and responses -- Energy policy -- Conclusion -- Notes -- PART IV: Energy transitions in the carbon consuming countries -- 19. Japan's energy security: Challenges, prospects, and global implications -- Challenges to Japan's energy security -- Japan's current energy mix -- Japan's way forward -- Global implications -- Conclusion -- Notes -- 20. Transitions to energy and climate security in Thailand -- Introduction -- Energy security, modernity and sustainability in Thailand -- Climate security -- Authoritarianism and environmental activism in Thailand -- Thailand's energy policies -- Campaigns against fossil fuel energy projects -- Conclusion -- Notes -- 21. Managing energy and climate policy challenges in Pakistan: Modest progress, major problems -- A deep and destabilizing energy crisis -- Severe climate change vulnerability -- Environmentally damaging energy fixes -- Small but encouraging steps for climate change mitigation -- Major obstacles to overcome -- The stakes of inaction: trigger for destabilization -- Recommendations and conclusions -- Notes -- 22. Energy transition in a carbon consuming country: India -- Introduction -- The low carbon transition. The energy access transition -- Conclusions -- Notes -- 23. Jordan's response to acute energy insecurity: Searching for a winning combination -- The structure and struggles of the Jordanian economy -- The search for a winning combination -- Conclusion -- Notes -- 24. Analyzing Turkey's energy transition: Challenges and opportunities -- Priorities in Turkish energy policy making -- Turkey's performance in WEC's Energy Trilemma Index -- Analyzing Turkey's energy profile: opportunities and challenges -- Natural gas -- Coal -- Oil -- Hydro -- Renewables -- Nuclear -- Energy efficiency -- Liberalization of Turkish energy markets -- Conclusion -- Notes -- PART V: Energy transitions in the carbon reduction countries -- 25. France and the energy trilemma: How the Fifth Republic has sought to balance energy security, affordability and environmental sustainability -- French energy priorities and policies before 1973 -- Priorities and policies after the oil shocks -- The 2000s: renewal of the nuclear commitment -- 2010s: the energy transition -- Conclusion -- Notes -- 26. Struggles in Denmark's transition towards a low carbon future: Shifts in the energy technology assemblage -- Introduction -- Shifting sociotechnical assemblages in the energy system transition -- Towards a model of shifting technologies and practices in the energy assemblage, 1976-2001 -- Assemblage shift 1: Struggles related to framing the wind power assemblage as a policy object -- Assemblage shift 2: wind power as a materially-based systemic concern in the electricity assemblage -- Assemblage shift 3: shifting political coalitions and the new material grounding of the industrial cluster in policy -- Conclusion: shifting assemblages where the present government is out of sync with materially-anchored concerns and interests in the present state of the assemblage -- Notes. 27. Twins of 1713: Energy security and sustainability in Germany. 9781857437454 print version oai:cds.cern.ch:2279425 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4748651 ebook ebook EBL201708 Engineering SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2279416 SzGeCERN 20200503231950.0 9780128027929 electronic version electronic version 9780128027929 print version 9780128028032 electronic version electronic version oai:cds.cern.ch:2279416 cerncds:BOOK EBL 4733912 eng RC931.M45M384 2017 610.28 Bose, Susmita Materials and devices for bone disorders San Diego, CA Elsevier Science 2016 561 p ebook Front Cover -- Materials and Devices for Bone Disorders -- Copyright Page -- Contents -- List of Contributors -- Biography -- Preface -- 1 Introduction to Biomaterials and Devices for Bone Disorders -- 1.1 Introduction -- 1.2 Metallic Biomaterials -- 1.3 Ceramic Biomaterials -- 1.4 Polymeric Biomaterials -- 1.5 Composite Biomaterials -- 1.6 Additive Manufacturing (AM) of Biomaterials -- 1.7 Biomaterials in Orthopedic Implants Devices -- 1.7.1 Joint replacements -- 1.7.2 Implants used in osteosynthesis for stabilization and fracture repair -- 1.7.3 Spine implants -- 1.7.4 Nonconventional implants for bone tumor -- 1.7.5 Multifunctional devices -- 1.8 Summary and Future Directions -- Acknowledgments -- References -- 2 Bone Biology and Effects of Pharmaceutical Intervention on Bone Quality -- 2.1 Bone Biology -- 2.1.1 Bone functions -- 2.1.2 Composition -- 2.1.3 Architecture -- 2.1.4 Bone cells -- 2.1.4.1 Osteoclasts -- 2.1.4.2 Osteoblast lineage -- 2.1.4.2.1 The Wnt-signaling system -- 2.1.4.3 Preosteoblasts -- 2.1.4.4 Reversal cells -- 2.1.4.5 Mature osteoblasts -- 2.1.4.6 Lining cells -- 2.1.4.7 Osteocytes -- 2.1.5 Bone remodeling -- 2.1.5.1 The basic multicellular unit -- 2.1.5.2 Sequence of bone remodeling -- 2.1.5.2.1 Origination -- 2.1.5.2.2 Activation -- 2.1.5.2.3 Resorption -- 2.1.5.2.4 Reversal -- 2.1.5.2.5 Formation -- 2.1.5.2.6 Mineralization -- 2.1.5.2.7 Reestablishing osteocyte network -- 2.1.5.2.8 Quiescence -- 2.1.6 Fracture repair -- 2.1.6.1 Stress fractures -- 2.1.6.2 Complete fractures -- 2.1.7 Aspects of bone strength -- 2.1.7.1 Bone shape -- 2.1.7.2 Bone volume -- 2.1.7.3 Mineralization density -- 2.1.7.4 Microarchitecture -- 2.1.7.5 Collagen structure -- 2.1.7.6 Ability to repair damage -- 2.1.7.7 Crystal characteristics -- 2.1.7.8 Bone marrow -- 2.1.7.9 Overall bone strength -- 2.2 Pharmaceutical Intervention. 2.2.1 Bone loss with aging or disease -- 2.2.2 Actions of systemic hormones and local cytokines -- 2.2.2.1 Estrogen -- 2.2.2.2 Glucocorticosteroids -- 2.2.2.3 Thyroid -- 2.2.2.4 Parathyroid -- 2.2.2.5 Calcitonin -- 2.2.2.6 1,25 (OH)2-Cholecalciferol (1,25D) -- 2.2.2.7 Insulin and insulin-like growth factor -- 2.2.2.8 Serotonin -- 2.2.2.9 Local cytokines -- 2.2.3 Calcium supplementation -- 2.2.4 Bone formation with osteoporosis medications -- 2.2.5 Raloxifene -- 2.2.6 Bisphosphonates -- 2.2.6.1 Short-term effects -- 2.2.6.2 Long-term effects -- 2.2.6.3 Fracture healing -- 2.2.7 Denosumab -- 2.2.8 Teriparatide -- 2.2.9 Strontium -- 2.2.10 Emerging therapies -- 2.2.10.1 Cathepsin K inhibitors -- 2.2.10.2 Romosozumab -- 2.2.11 Other medications or substances that affect bone strength -- 2.2.11.1 Anticonvulsants -- 2.2.11.2 Selective serotonin reuptake inhibitors -- 2.2.11.3 Carbonic anhydrase inhibitors -- 2.2.11.4 Thiazide diuretics -- 2.2.11.5 Rosiglitazone -- 2.2.11.6 Bortezomib -- 2.2.11.7 Lithium -- 2.2.11.8 Elements toxic to the bone -- 2.2.11.9 Fluoride -- 2.3 Summary -- References -- 3 Bone Disorders -- 3.1 Introduction -- 3.2 Metabolic Diseases -- 3.2.1 Osteoporosis -- 3.2.2 Paget's disease -- 3.3 Degenerative Disc Disease -- 3.4 Osteoarthritis -- 3.5 Fracture -- 3.6 Bone Cancers -- 3.6.1 Osteosarcoma -- 3.6.2 Ewing's sarcoma -- 3.6.3 Chondrosarcoma -- 3.7 Summary and Future Directions -- References -- 4 Implants for Joint Replacement of the Hip and Knee -- 4.1 Historical Perspective -- 4.2 Design and Material Issues, Clinical Outcome -- 4.2.1 Current bearing materials in hip and knee replacement -- 4.2.1.1 New polyethylenes -- 4.2.1.2 Ceramic-on-ceramic bearings -- 4.2.1.3 Metal-on-metal bearings -- 4.2.2 Cemented hip arthroplasty -- 4.2.2.1 Acrylic bone cement: Polymethylmethacrylate. 4.2.2.2 Firmness and durability of implant-cement composite -- 4.2.2.3 Material and design of cemented implants -- 4.2.2.4 Cementing technique during THA -- 4.2.2.5 Clinical evidence for cemented THA -- 4.2.2.6 Clinical evidence for partially cemented THA (cementless cup-cemented stem) -- 4.2.2.7 Current indications for cemented or partially cemented THA -- 4.2.2.8 Conclusion -- 4.2.3 Cementless hip arthroplasty -- 4.2.4 Cemented total knee replacement -- 4.3 Current Critical Issues -- 4.3.1 Introduction of new technologies to orthopedics -- 4.3.2 Younger more active patient population -- 4.3.2.1 Indications -- 4.3.2.2 Surgical technique -- 4.3.2.3 Design and material options -- 4.3.3 Prosthetic joint infection -- 4.3.3.1 Prevention of PJI -- 4.3.3.2 Diagnostics -- 4.3.3.3 Treatment -- 4.3.4 Wear and osteolysis -- 4.3.4.1 Wear of prosthetic surfaces -- 4.3.4.2 Periprosthetic osteolysis -- 4.3.4.3 Strategies aimed at diminishing the risk for osteolysis and aseptic loosening -- 4.3.5 Hip: Other concerns (dislocation, big heads, alternative bearing surfaces, head-neck taper interface) -- 4.3.5.1 Dislocation -- 4.3.5.2 Prevention -- 4.3.5.3 Treatment of dislocated THA -- 4.3.5.4 Modular component exchange -- 4.3.5.5 Reorientation of THA -- 4.3.5.6 Improvement of abductor moment -- 4.3.5.7 Dual-mobility cups -- 4.3.5.8 Constrained liners -- 4.3.5.9 Large femoral heads -- 4.3.5.10 Concerns related to large femoral heads -- 4.3.5.11 Alternative bearing surfaces -- 4.3.5.12 Ceramic-on-ceramic -- 4.3.5.13 Metal-on-metal -- 4.3.5.14 Ceramic-on-metal -- 4.3.5.15 New materials -- 4.3.5.16 Carbon-fiber-reinforced polyaryletheretherketone -- 4.3.5.17 Head-Neck taper interface damage -- 4.3.5.18 What is clear? -- 4.3.6 Other issues with TKA (malalignment, stiffness, allergy, patient satisfaction). 4.3.7 Patients with severe bone-related comorbidities (elderly patients with osteoporosis, patients with rheumatic diseases... -- 4.3.7.1 Osteoporosis -- 4.3.7.1.1 Indication for THA/TKA -- 4.3.7.1.2 Design and material options -- 4.3.7.2 Systemic inflammatory diseases -- 4.3.7.2.1 Design and material options -- 4.3.7.2.2 Evidence for THA/TKA -- 4.3.7.3 Osteonecrosis of the hip -- 4.3.7.3.1 Indication for THA -- 4.3.7.3.2 Design and material option -- 4.3.7.3.3 Evidence for THA -- 4.3.7.4 Renal osteopathy -- 4.3.7.4.1 Design and material option -- 4.3.7.4.2 Evidence for THA/TKA -- 4.3.7.5 Paget disease -- 4.3.7.5.1 Design and material option -- 4.3.7.5.2 Evidence for THA/TKA -- 4.4 Future Trends and Next-Generation Devices -- 4.4.1 Improved patient selection -- 4.4.2 Improved surgical technique and instrumentation -- 4.4.3 Improved implant design -- 4.4.4 Improved bearing surfaces -- 4.4.5 Improving implant integration and avoiding infection -- 4.5 Conclusion -- References -- 5 Material and Mechanobiological Considerations for Bone Regeneration -- 5.1 Introduction -- 5.2 Physiology of Bone Regeneration -- 5.2.1 Inflammation and hematoma -- 5.2.2 Soft callus and neovascularization -- 5.2.3 Immature bone -- 5.2.4 Bone remodeling -- 5.3 Mechanical Properties of Materials for Bone Regeneration -- 5.3.1 Native bone and grafts -- 5.3.2 Metals -- 5.3.3 Ceramics -- 5.3.4 Polymers -- 5.3.5 Composites -- 5.3.6 FDA regulatory pathways and testing considerations -- 5.4 Cell-Level Mechanobiology of Bone Regeneration -- 5.4.1 Cell-level mechanosensors -- 5.4.2 Intrinsic physical factors -- 5.4.3 Extrinsic physical factors -- 5.5 Tissue-Level Mechanobiology of Bone Regeneration -- 5.5.1 In vivo mechanobiology of bone regeneration -- 5.5.2 Computational modeling of bone regeneration -- 5.6 Conclusions and Future Directions -- References. 6 Ceramics in Bone Grafts and Coated Implants -- 6.1 Introduction -- 6.2 Bioinert Ceramics -- 6.2.1 Aluminum oxide -- 6.2.2 Zirconia -- 6.3 Calcium Phosphates -- 6.3.1 Bioceramics and bone remodeling -- 6.3.2 Role of trace elements on bioactivity of bioceramics -- 6.4 Ceramic Scaffolds -- 6.4.1 Ceramic scaffold fabrication techniques -- 6.4.2 In vitro and in vivo properties of bone scaffolds -- 6.4.3 In vivo and in vitro performance of CaP-polymer composite scaffold -- 6.5 Ceramics in Drug Delivery -- 6.6 Bioceramic Coatings -- 6.6.1 Challenges of HA coatings -- 6.6.2 Significance of HA coating in revision surgeries -- 6.6.3 Coating properties and characterization standards -- 6.6.3.1 Crystallographic Information -- 6.6.3.2 Environmental stability -- 6.6.3.3 Tensile bond strength -- 6.6.4 Coating preparation techniques -- 6.6.4.1 Plasma-sprayed HA coating -- 6.6.4.2 Laser-assisted coating -- 6.6.4.3 Electrophoretic deposition -- 6.6.4.4 Sol-gel deposition -- 6.6.4.5 Biomimetic deposition -- 6.6.4.6 Compositionally graded coating -- 6.7 Bone Cement -- 6.8 Bioglass for Bone Regeneration -- 6.9 Summary and Future Directions -- References -- 7 Ceramic Coatings in Load-Bearing Articulating Joint Implants -- 7.1 Introduction -- 7.2 Knee Simulator Study Involving NSD-Coated Titanium Articulating Against Polyethylene -- 7.3 Knee Simulator Study Involving Articulation of NSD on NSD -- 7.4 Role of Ceramic-Boriding on CoCr for Subsequent CVD Diamond Deposition -- 7.5 Biocompatibility and Osteo-Integration of Nanodiamond Coated Implant -- 7.6 Nanodiamond (ND) Wear-Debris and Influence of Size and Concentration of Wear-Debris on Inflammation -- 7.7 Summary and Future Perspectives -- Acknowledgments -- References -- 8 Polymers and Composites for Orthopedic Applications -- 8.1 Introduction -- 8.2 Nondegradable Polymers and Composites for Orthopedic Applications. 8.2.1 Poly(methyl methacrylate). EBL201708 Health Physics and Radiation Effects SzGeCERN BOOK Bandyopadhyay, Amit https://cds.cern.ch/auth.py?r=EBLIB_P_4733912 ebook n 201732 201708 21 PUBLIC BOOK DELETED 2279410 SzGeCERN 20210421210628.0 9780128094303 electronic version electronic version 9780128094495 electronic version electronic version 9780128094495 print version oai:cds.cern.ch:2279410 cerncds:BOOK EBL 4729419 eng TA168.D437 2017 531.6 Dhar, P L Thermal system design and simulation San Diego, CA Elsevier Science 2016 618 p ebook Front Cover -- Thermal System Design and Simulation -- Copyright -- Contents -- Preface -- Chapter 1: Introduction -- 1.1 Outline of the Book -- Reference -- Chapter 2: Mathematical Background -- 2.1 Linear Algebraic Equations -- 2.1.1 Difficulties Encountered in Gaussian Elimination -- 2.2 Nonlinear Algebraic Equations -- 2.2.1 Warner's Method -- 2.3 Equation Fitting -- 2.3.1 Generalized Linear Regression -- 2.3.2 Nonlinear Regression -- 2.4 Differential Equations -- 2.4.1 Single-Step Methods -- 2.4.2 Multistep Methods -- Adams-Bashforth Method -- Adams-Moulton Method -- 2.4.3 Systems of Equations -- 2.4.4 Boundary Value Problems -- 2.5 Laplace Transformation -- 2.5.1 Transfer Function -- 2.6 Analysis of Uncertainty -- 2.7 Engineering Economics -- 2.7.1 Time Value of Money -- 2.7.2 Present Worth Analysis -- 2.7.3 Rate of Return Analysis -- 2.7.4 Life Cycle Costing -- Reference -- Chapter 3: Review of Fundamentals -- 3.1 Thermodynamics -- 3.1.1 Thermodynamics of Multicomponent Systems -- 3.1.2 Thermodynamics of Reactive Mixtures -- 3.2 Fluid Flow -- 3.2.1 Compressible Flow -- 3.2.2 Two-Phase Flow -- 3.3 Heat Transfer -- Conduction -- Fourier's Law of Heat Conduction -- Radiation -- Stefan-Boltzmann Law -- Convection -- Newton's Law of Cooling -- 3.3.1 Conductive Heat Transfer -- 3.3.2 Radiative Heat Transfer -- 3.3.3 Convective Heat Transfer -- Forced Convection -- External Flow -- Isothermal Flat Plate -- Cross Flow Over a Long Isothermal Cylinder for ReD Pr > 0.2 -- Cross Flow Across a Bank of Isothermal Cylinders -- Internal Flow -- Fully Developed Laminar Flow -- Fully Developed Turbulent Flow -- Vertical Flat Surfaces -- Churchill and Chu Correlation [22] -- Simplified Correlations -- Horizontal Surfaces -- Heat Transfer With Phase Change -- Heat Transfer in Condensation -- Heat Transfer in Boiling -- 3.4 Mass Transfer. 3.4.1 Simultaneous Heat and Mass Transfer -- Reference -- Chapter 4: Modeling of Thermal Equipment -- 4.1 Heat Exchangers -- 4.1.1 Single-Pass Parallel and Counter-Flow Heat Exchangers -- 4.1.2 Single-Pass Cross-Flow Heat Exchanger -- 4.1.3 Multipass Heat Exchangers -- 4.1.4 Heat Exchangers With Varying Heat-Transfer Coefficients -- (a) Shell and Tube Heat Exchanger With Phase Change in the Tube-Side Fluid -- (b) Shell and Tube Heat Exchanger With Phase Change in the Shell-Side Fluid -- 4.1.5 Pressure Drop -- (a) Plate-Fin Heat Exchangers -- (b) Tube Fin Heat Exchangers -- (c) Shell and Tube Heat Exchangers -- (d) Plate Heat Exchangers -- 4.1.6 Microchannel Heat Exchangers -- Flow Through Microchannels -- 4.2 Heat and Mass Exchangers -- 4.2.1 Cooling and Dehumidifying Coils -- 4.2.2 Cooling Towers and Spray Washers -- 4.2.3 Heat and Mass Exchangers Using Desiccants -- Liquid Desiccant Dehumidifier/Regenerator -- Mass Balance of Moisture Content -- Air -- Desiccant Solution -- Energy Balance -- Sensible Heat Transfer From Air -- Desiccant -- Water -- Solid Desiccant Dehumidifier -- 4.3 Reciprocating Devices -- 4.3.1 Reciprocating Compressor -- Kinematic Equation -- Thermodynamic Equation -- Equation of Motion for the Valves -- Equation for Flow Through the Valves -- Computational Method -- 4.3.2 IC Engine -- 4.4 Rotating Devices -- 4.4.1 Centrifugal Compressors -- Shock Losses -- Incidence Loss -- Clearance Loss -- Skin Friction Loss -- Blade Loading Loss -- Hub-to-Shroud Loading Loss -- Blockage Loss -- Mixing Loss -- Supercritical Mach Number Loss -- 4.4.2 Scroll Compressors -- Performance Prediction -- 4.5 Thermoelectric Modules -- 4.6 Other Applications -- 4.6.1 Cooling of Electronic Equipment -- 4.6.2 Thermal Processing of Moving Materials -- 4.6.3 Temperature Distribution During Welding -- 4.6.4 Heat and Mass Transfer During Drying of Solids. Problems -- Note -- Reference -- Chapter 5: System Simulation -- 5.1 Information Flow Diagram -- 5.2 Solution Methodology -- 5.3 Off-Design Performance Prediction -- Problems -- Chapter 6: System Simulation: Case Studies -- 6.1 Industrial Refrigeration Plant -- 6.1.1 Component Simulation -- Evaporator -- Liquid-Vapor Heat Exchanger -- Reciprocating Compressor -- Condenser -- Float-Type Expansion Valve -- 6.1.2 System Simulation -- 6.1.3 Validation -- 6.2 Combined Cycle Power Plant -- 6.2.1 Component Simulation -- Air Compressor -- The Combustion Chamber -- Turbines -- Pumps -- Single-Phase Heat Exchangers -- Evaporator -- Condenser -- 6.2.2 System Simulation -- Air Compressor -- The Combustion Chamber -- The Gas Turbine -- HP, LP Pumps -- HP superheater, Evaporator, Economizer -- LP Super Heater, LP Evaporator -- HP, LP Turbines -- Condenser -- LP Economizer and HP Economizer 1 -- Condensate Preheater -- Condensate Feed Pump and Deaerator -- 6.3 Liquid Desiccant-Based Air-Conditioning System (LDAC) -- 6.3.1 Component Simulation -- The Absorber and the Regenerator -- The Heat Exchangers -- Evaporative Coolers -- 6.3.2 System simulation -- 6.4 Epilog -- References -- Chapter 7: Introduction to Optimum Design -- 7.1 General Formulation of an Optimum System Design Problem -- 7.2 Optimum Design of a Component -- 7.3 Epilog -- Problems -- Reference -- Chapter 8: Optimization Techniques -- 8.1 Analytical Methods -- 8.1.1 Constrained Optimization -- 8.1.2 Geometric Programming -- 8.1.3 Calculus of Variations -- 8.1.4 Pontryagin's Maximum Principle -- 8.1.5 Discrete Maximum Principle -- 8.2 Numerical Methods -- 8.2.1 Single Variable Functions -- 8.2.2 Multivariable Functions -- 8.2.3 Mixed Discrete-Continuous Variables -- 8.2.4 Genetic Algorithms -- Problems -- References -- Chapter 9: Case Studies in Optimum Design -- 9.1 Thermodynamic Optimization. 9.1.1 Optimal Suction State in Vapor Compression Refrigeration Cycle -- 9.1.2 Optimization of Multistage Refrigeration Systems -- 9.1.3 Optimum Interstage Temperature for Cascade Refrigeration -- 9.2 Optimum Design of Components -- 9.2.1 Finned Surfaces -- 9.2.2 DX-Chiller -- 9.2.3 Flooded Chiller -- 9.2.4 Refrigerant Condenser -- 9.3 Optimum Design of Thermal Systems -- 9.3.1 Refrigeration System -- 9.3.2 Combined Cycle Power Plant (CCPP) -- 9.3.3 Liquid Desiccant-Based Air Conditioning System -- Absorber -- Configuration -- Variables -- Regenerator -- Variables -- Solution-Solution Heat Exchanger -- Variable -- Solution Heater -- Variable -- Air-Air Heat Exchangers in the Absorber and Regenerator Circuits -- Configuration -- Variables (for Each) -- References -- Chapter 10: Dynamic Response of Thermal Systems -- 10.1 Dynamics of the First-Order Systems -- 10.1.1 Linearization -- 10.1.2 First-Order System in Series -- 10.2 Higher Order Systems -- 10.3 Transportation Lag -- 10.4 Principle of Superposition -- 10.5 Control System Analysis -- 10.5.1 Two Kinds of Control Problems -- 10.5.2 Developing the Block Diagram -- 10.5.3 Analyzing Servo Problems -- 10.5.4 Analyzing Regulator Problem -- 10.5.5 Proportional Integral (PI) and Proportional Integral Derivative (PID) Control -- 10.5.6 Effect of Measurement Lag -- 10.5.7 Stability Analysis -- 10.6 Dynamics of Distributed Systems -- Problems -- Chapter 11: Additional Considerations in Thermal System Design -- 11.1 Erosion-Corrosion -- 11.2 Vibration and Noise -- 11.2.1 Vortex Shedding -- 11.2.2 Turbulence Included Vibrations -- 11.2.3 Fluid Elastic Instability -- 11.2.4 Acoustic Resonance -- 11.2.5 Design for Minimizing Vibrations -- 11.3 Stochastic Considerations -- 11.3.1 System Design Under Uncertainty -- Uncertainties Associated With Modeling -- Uncertainties in the Values of the Input Variables. Uncertainties Arising From Wear and Tear of Equipment -- 11.4 System Design Considering Part-Load Operation -- 11.5 Environmental Considerations -- 11.6 System Design for Multiple Objectives -- 11.7 Commercial Softwares -- References -- Index -- Back Cover. EBL201708 General Theoretical Physics SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4729419 ebook n 201732 201708 21 PUBLIC https://catalogue.library.cern/legacy/2279410 BOOK MIGRATED 2279409 SzGeCERN 20180822202548.0 9780081003985 electronic version 9780081003824 electronic version EBL 4729303 eng R856.B564 2017 610.28 Deng, Ying Biofilms and implantable medical devices infection and control Cambridge Elsevier Science 2016 240 p Front Cover -- Biofilms and Implantable Medical Devices -- Related titles -- Biofilms and Implantable Medical Devices: Infection and Control -- Copyright -- Contents -- List of contributors -- Preface -- One - Fundamentals and properties of biofilms -- 1 - Overview of biofilm-related problems in medical devices -- 1.1 Introduction -- 1.2 Development of microbial biofilms on biomaterials used in medicine -- 1.2.1 Interaction of microbial strains with biomaterial surface -- 1.2.2 Microbial structures involved in the adherence to biomaterials -- 1.2.2.1 Polysaccharides -- 1.2.3 Biofilm structure and properties -- 1.3 Incidence and etiology of biofilm-associated infections on medical devices -- 1.3.1 Orthopedic infections -- 1.3.2 Catheter-associated infections -- 1.3.3 Infections associated with cardiovascular implants -- 1.3.4 Infections associated with ophthalmic implants -- 1.3.5 Ventilation-associated pneumonia -- 1.4 The pathogenesis of infections associated with medical devices -- 1.5 Strategies to prevent infections associated with medical devices -- 1.6 Conclusion -- Acknowledgments -- References -- 2 - Properties of biofilms developed on medical devices -- 2.1 Introduction -- 2.2 Biofilm infections related to medical devices -- 2.2.1 Gram-positive bacteria -- 2.2.2 Gram-negative bacteria -- 2.2.3 Fungal biofilms -- 2.2.4 Protozoa biofilms -- 2.2.5 Archaea biofilm -- 2.3 Device-associated biofilms -- 2.3.1 Noninvasive devices -- 2.3.2 Biofilms associated with invasive devices -- 2.3.2.1 Transient use medical devices -- 2.3.2.2 Short-term-used medical devices -- 2.3.2.3 Long-term use -- 2.4 Conclusions -- References -- 3 - Adhesion of bacteria to surfaces and biofilm formation on medical devices -- 3.1 Introduction -- 3.2 Finding the target: bacterial motility and events that lead to bacterial contact with and attachment to a surface. 3.2.1 Brownian motion -- 3.2.2 Flagellar motility -- 3.2.3 Nonflagellar motility -- 3.2.4 Environmental stimuli that influence bacterial movement -- 3.2.4.1 Chemotaxis -- 3.2.4.2 Quorum sensing -- 3.2.4.3 Bis-(3′-5′)-cyclic dimeric guanosine monophosphate (c-di-GMP) -- 3.3 Coming and going versus staying put: adhesion to a surface, regulation of adhesion, and initiation of microcolony formation -- 3.3.1 Sticking to it: factors that mediate bacterial adherence to a surface -- 3.3.1.1 Protein adhesins -- 3.3.1.2 Adhesive pili -- 3.3.1.3 Amyloid fibers -- 3.3.1.4 Other methods of sticking to it: nonproteinaceous adhesive factors -- 3.4 So it begins: reversible and irreversible attachment to a surface -- 3.4.1 Contact-dependent signal transduction in promoting irreversible attachment -- 3.4.2 Regulation of adhesive fibers -- 3.5 Growing old together: processes that lead to biofilm maturation -- 3.5.1 Raising the shields: the composition and function of the extracellular matrix -- 3.5.1.1 Composition of the extracellular matrix -- 3.5.1.2 Protecting the community: role of the ECM in biofilm maturation -- 3.5.2 All grown up: growth and maturation of the biofilm community -- 3.5.2.1 Divvying up the labor: subpopulation development during biofilm maturation -- 3.6 Time to leave: biofilm dispersal and implications for the host -- 3.6.1 The signal(s) to leave: cues lending to dissemination from the biofilm -- 3.6.2 Adding fuel to the fire: biofilm dispersal drives secondary-site infection -- 3.7 There is a stranger in my house: mixed-species biofilms in relation to medical devices and human health -- 3.8 Conclusions and thoughts moving forward -- References -- 4 - Antimicrobial resistance of biofilms in medical devices -- 4.1 Introduction -- 4.2 Biofilms-formation, structure, and resistance -- 4.2.1 Formation and structure -- 4.2.2 Antimicrobial resistance. 4.3 Infections associated with medical devices -- 4.3.1 Medical devices -- 4.3.2 Healthcare-associated infections -- 4.3.3 Most common contamination in medical devices -- 4.4 Biofilms in medical devices: resistance -- 4.4.1 Detection and diagnosis -- 4.4.2 Consequences of biofilm resistance: superbugs -- 4.4.3 Biofilm prevention -- 4.5 Conclusions -- Acknowledgments -- References -- Two - Biofilm-related infections in medical devices -- 5 - Biofilms on dental implants -- 5.1 Introduction -- 5.2 Oral implantology: fundamental principles -- 5.3 Biofilms on dental implants -- 5.3.1 General aspects -- 5.3.2 The characteristics of biofilms in dental implants -- 5.3.2.1 Pellicle formation -- 5.3.2.2 Adhesion of microorganisms and maturation of implant dental plaque -- 5.3.3 Material-related parameters -- 5.3.3.1 Surface properties -- Surface roughness and topography -- Surface free energy -- 5.3.3.2 Implant and abutment material -- 5.3.3.3 The role of the implant/abutment connection -- 5.3.3.4 Impact of platform switching -- 5.3.3.5 Prosthetic suprastructure -- 5.3.3.6 Role of dental cement in biofilm formation on dental implants -- 5.4 Conclusions -- References -- 6 - Biofilm on bone repair devices -- 6.1 Introduction -- 6.2 Infection of bone repair devices -- 6.3 Infection and bone allograft -- 6.4 Influence of the synovial environment on infection -- 6.5 Detection and treatment of orthopedic infection -- 6.6 Conclusion -- Acknowledgments -- References -- 7 - Prevention of biofilm formation by material modification -- 7.1 Introduction -- 7.2 Metals and alloys -- 7.3 Polymers -- 7.3.1 Prosthetic tubular devices -- 7.3.1.1 Development of new surfaces with antibiofilm properties -- 7.3.2 Innovative wound dressing -- 7.4 Ceramics -- 7.5 Composite materials -- 7.5.1 Dental materials -- 7.6 Conclusions and perspectives -- Acknowledgments -- References. 8 - Detection of bacterial adherence and biofilm formation on medical surfaces -- 8.1 Introduction -- 8.2 Diagnosis of device-associated biofilms -- 8.2.1 Traditional detection, visualization, and isolation of biofilm-forming bacteria from medical devices -- 8.2.1.1 Culture methods -- 8.2.1.2 Direct staining and microscopy methods -- 8.2.1.3 Immunology-based methods -- 8.2.1.4 Molecular techniques -- 8.2.2 State-of-the-art methods for detection and visualization of biofilms on medical devices -- 8.2.2.1 Improved biofilm imaging -- 8.2.2.2 Engineering-based approaches: development of intelligent implants -- 8.3 Concluding remarks -- References -- 9 - Alternative strategies to reduce the incidence of severe infections -- 9.1 Introduction -- 9.2 Strategies based on natural modulators -- 9.2.1 Essential oils -- 9.2.2 Quorum-sensing inhibitors -- 9.3 Strategies based on synthetic structures -- 9.3.1 Organic compounds -- 9.3.2 Inorganic compounds -- 9.3.3 Strategies based on nanobiomaterials -- 9.4 Conclusions -- References -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- Back Cover. Lv, Wei 9780081003824 print version oai:cds.cern.ch:2279409 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4729303 ebook ebook EBL201708 Health Physics and Radiation Effects SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2279408 SzGeCERN 20180515232352.0 9780128116630 electronic version 9780128116623 electronic version EBL 4721232 eng TH7413.S273 2017 621.47 Sarbu, Ioan Solar heating and cooling systems fundamentals, experiments and applications San Diego, CA Elsevier Science 2016 442 p Front Cover -- Solar Heating and Cooling Systems -- Solar Heating and Cooling Systems: Fundamentals, Experiments and Applications -- Copyright -- Contents -- Author Biographies -- Preface -- 1 - Introduction -- 1.1 GENERALITIES -- 1.2 RENEWABLE ENERGY -- REFERENCES -- 2 - Solar Radiation -- 2.1 GENERALITIES -- 2.2 CALCULATION OF SOLAR RADIATION -- 2.2.1 Characteristics of Solar Radiation -- 2.2.1.1 Solar Angles -- 2.2.1.2 Design Value of Total Solar Radiation -- 2.2.2 Solar Radiation on a Tilted Surface -- 2.3 PREDICTION OF SOLAR RADIATION USING IMPROVED BRISTOW-CAMPBELL MODEL -- REFERENCES -- 3 - Solar Collectors -- 3.1 GENERALITIES -- 3.2 SOLAR THERMAL COLLECTORS -- 3.2.1 Flat-Plate Collectors -- 3.2.2 Evacuated Tube Collectors -- 3.2.3 Concentrating Collectors -- 3.2.4 Solar Thermal Power Plants With Central-Receiver -- 3.2.5 Thermal Collector Efficiency -- 3.3 SOLAR PV COLLECTORS -- 3.3.1 PV Converters -- 3.3.2 PV Generator Characteristics -- 3.3.3 PV Collector Efficiency -- 3.3.4 Control and Delivered Energy Estimation for a PV System -- 3.3.5 Design of a PV System -- 3.4 SOLAR PV/THERMAL HYBRID COLLECTORS -- 3.4.1 PV/T Liquid Collector -- 3.4.2 PV/T-Air Collector -- 3.4.3 PV/T Concentrator -- 3.4.4 Novel Applications of PV/T Collectors -- 3.4.5 Energy Indicators -- 3.5 PERFORMANCES OF A PV/T COLLECTOR WITH WATER HEATING IN BUILDINGS -- 3.5.1 Description of the System -- 3.5.2 Simulation Model -- 3.5.3 Model Validation -- 3.5.4 Results and Discussion -- 3.5.4.1 Influence of the PV Module Number -- 3.5.4.2 Influence of Inlet Temperature of Water -- 3.5.4.3 Influence of Mass Flow Rate of Water -- 3.5.5 Conclusions -- 3.6 PERFORMANCES OF A HYBRID PV/T-SOLAR SYSTEM FOR RESIDENTIAL APPLICATIONS -- 3.6.1 System Configuration -- 3.6.2 Simulation Model -- 3.6.2.1 Solar Thermal System -- 3.6.2.2 PV System -- 3.6.3 Analysis of Energy Indicators. 3.6.4 Conclusions -- REFERENCES -- 4 - Thermal Energy Storage -- 4.1 GENERALITIES -- 4.2 CLASSIFICATION AND CHARACTERISTICS OF STORAGE SYSTEMS -- 4.3 SENSIBLE HEAT STORAGE -- 4.3.1 Water Tank Storage -- 4.3.2 Underground Storage -- 4.3.3 Pebble-Bed Storage -- 4.4 LATENT-HEAT STORAGE -- 4.4.1 Characteristics of PCMs -- 4.4.1.1 Organic PCMs -- 4.4.1.2 Inorganic PCMs -- 4.4.1.3 Eutectics -- 4.4.1.4 PCM's Containment -- 4.4.2 PCMs Used for Thermal Storage in Buildings -- 4.4.2.1 Passive Technologies -- 4.4.2.2 Active Technologies -- 4.4.3 Advantages and Disadvantages of PCMs -- 4.4.4 Heat Transfer in LHS Systems and Materials -- 4.4.4.1 Enthalpy Formulation -- 4.4.4.2 Numerical Solution -- 4.4.4.3 A Three-Dimensional Heat Transfer Simulation Model of LHS -- 4.5 CHEMICAL ENERGY STORAGE -- 4.6 COOL THERMAL ENERGY STORAGE -- 4.7 PERFORMANCE AND COST OF THERMAL ENERGY STORAGE SYSTEMS -- REFERENCES -- 5 - Solar Water and Space-Heating Systems -- 5.1 GENERALITIES -- 5.2 SOLAR WATER HEATING SYSTEMS -- 5.2.1 Types of Solar Water Heating Systems -- 5.2.1.1 Direct and Indirect Systems -- 5.2.1.2 Passive and Active Systems -- 5.2.1.3 Passive Direct Systems -- 5.2.1.4 Active Indirect Systems -- 5.2.2 Examples of Solar DHW Systems -- 5.3 SOLAR SPACE-HEATING SYSTEMS -- 5.3.1 Components and Control of System -- 5.3.2 Types of Solar Space-Heating Systems -- 5.3.3 Selection and Thermal Load of a Solar Heating System -- 5.3.4 Designing and Simulating Solar Heating Systems -- 5.3.4.1 Design Methods -- 5.3.4.2 TRNSYS Simulation Program -- 5.3.5 Installation, Operation and Maintenance Instructions for Solar Systems -- 5.4 SOLAR COMBISYSTEMS -- 5.4.1 System Description -- 5.4.2 Examples of Solar Combisystems Application -- 5.5 SOLAR DISTRICT HEATING -- 5.5.1 Components of District Heating Systems -- 5.5.2 Solar-Sourced District Heat. 5.5.3 Energy-Saving Potential for Pumping Water in District Heating Plant -- 5.5.3.1 Thermal Load of the Heating Plant -- 5.5.3.2 Solutions for Reducing the Pumping Energy -- 5.5.3.3 Throttling Control Valve Versus Variable-Speed Drive-Case Studies -- 5.5.4 Heat Distribution -- 5.5.4.1 Conduit Systems -- 5.5.4.2 Integration of Distributed Solar Thermal Plants -- 5.5.4.3 Distribution Network -- 5.5.5 Consumer Interconnections -- 5.5.6 Control, Operation, and Maintenance -- 5.5.7 Environmental and Economic Performance -- 5.6 SOLAR HEATING FOR INDUSTRIAL PROCESSES -- 5.6.1 Integration of Solar Energy into Industrial System -- 5.6.2 Heating Systems for Industrial Processes -- 5.6.2.1 Heating of Hot Water for Washing or Cleaning -- 5.6.2.2 Heating of Make-up Water for Steam Networks -- 5.6.2.3 Heating of Industrial Baths or Vessels -- 5.6.2.4 Convective Drying with Hot Air -- 5.6.3 Solar-Powered Water Desalination Industry -- 5.6.4 Cost of Solar Heating Systems for Industrial Processes -- REFERENCES -- 6 - Heat Distribution Systems in Buildings -- 6.1 GENERALITIES -- 6.2 RADIATOR HEATING SYSTEM -- 6.2.1 Description of the System -- 6.2.2 Energy Saving -- 6.3 RADIANT HEATING SYSTEMS -- 6.3.1 Preliminaries -- 6.3.2 Radiant Floor Heating -- 6.3.2.1 Description of the System -- 6.3.2.2 Numerical Modeling of Thermal Emission at Radiant Floor -- 6.3.3 Comparative Analysis of Radiant Panel System Performance -- 6.3.3.1 Description of Panel Systems -- 6.3.3.2 Primary Energy Consumption of Heating System -- 6.3.3.3 Operating Cost -- 6.3.3.4 Carbon Dioxide (CO2) Emission -- 6.3.3.5 Results and Discussion -- 6.3.3.6 Conclusions -- 6.4 ROOM AIR HEATERS -- 6.5 CONTROL OF HEATING SYSTEMS -- 6.6 EFFICIENCY OF HEATING SYSTEMS -- 6.7 ENERGY ANALYSIS OF SOLAR HEATING SYSTEMS -- 6.8 ECONOMIC ANALYSIS INDICATORS -- REFERENCES -- 7 - Solar Thermal-Driven Cooling Systems. 7.1 GENERALITIES -- 7.2 SOLAR-POWERED SORPTION COOLING SYSTEMS -- 7.2.1 Desiccant Cooling Systems -- 7.2.1.1 Liquid Desiccant System -- 7.2.1.2 Solid Desiccant System -- 7.2.1.3 Desiccant-Based Evaporative Cooling Systems -- 7.2.1.4 Solar Liquid Desiccant Regeneration Methods -- 7.2.2 Principles of Closed Sorption Systems -- 7.2.3 Absorption Systems -- 7.2.3.1 Continuous Operation Systems -- 7.2.3.2 Intermittent Operation Systems -- 7.2.3.3 Single-Effect Solar Absorption Cycle -- 7.2.3.4 Half-Effect Solar Absorption Cycle -- 7.2.3.5 Double-Effect Solar Absorption Cycle -- 7.2.3.6 Triple-Effect Solar Absorption Cycle -- 7.2.3.7 Thermodynamic Properties of Working Pairs -- 7.2.3.8 Design, Control, and Operation Guidelines -- 7.2.4 Experimental Investigation on a Solar-Powered Absorption Radiant Cooling System -- 7.2.4.1 System Configuration -- 7.2.4.2 Experimental Investigation -- 7.2.4.3 Conclusions -- 7.2.5 Adsorption Systems -- 7.2.5.1 Basic Solar Adsorption Refrigeration Cycle -- 7.2.5.2 Working Pairs -- 7.2.5.3 Physical Adsorption -- 7.2.5.4 Chemical Adsorption -- 7.2.5.5 Study of Solar Adsorption Cooling Systems -- 7.2.6 Comprehensive Review of Solar Sorption Cooling System Applications -- 7.2.6.1 Air-Conditioning (A/C) -- 7.2.6.2 Refrigeration -- 7.2.6.3 Ice Making -- 7.3 SOLAR THERMOMECHANICAL COOLING SYSTEMS -- 7.3.1 Description of the System -- 7.3.2 Performance Parameters -- 7.3.3 Working Fluid Selection -- 7.4 HYBRID COOLING AND HEATING SYSTEMS -- 7.5 COMPARISON OF VARIOUS SOLAR THERMAL COOLING SYSTEMS -- 7.6 CONCLUSIONS -- REFERENCES -- 8 - Solar Electric Cooling Systems -- 8.1 GENERALITIES -- 8.2 SOLAR PHOTOVOLTAIC COOLING SYSTEMS -- 8.2.1 Description of the System -- 8.2.2 Solar Photovoltaic-Driven Vapor-Compression Cooling Systems -- 8.2.2.1 Operation Principle and Energy Efficiency -- 8.2.2.2 Ecological Refrigerants. 8.3 SOLAR THERMOELECTRIC COOLING SYSTEMS -- 8.3.1 Thermoelectric Cooler -- 8.3.2 Basic Definitions -- 8.3.2.1 Thermoelectric Figure of Merit -- 8.3.2.2 Cooling Capacity -- 8.3.2.3 Coefficient of Performance -- 8.3.3 Thermoelectric Cooling Modeling -- 8.3.3.1 One-Dimensional Thermoelement Modeling -- 8.3.3.2 Numerical Modeling of Thermoelectric Coolers -- 8.3.4 Thermoelectric Cooling Applications -- 8.3.4.1 Cooling the Electronic Devices -- 8.3.4.2 Thermoelectric Refrigeration -- 8.3.4.3 Thermoelectric Air Conditioners -- 8.3.5 Conclusion -- REFERENCES -- 9 - Solar-Assisted Heat Pumps -- 9.1 GENERALITIES -- 9.2 OPERATION PRINCIPLE OF A HEAT PUMP -- 9.3 VAPOR COMPRESSION-BASED HEAT PUMP SYSTEMS -- 9.3.1 Thermodynamic Cycle -- 9.3.2 Operation Regimes of a Heat Pump -- 9.3.3 Performance and CO2 Emission of HP -- 9.3.3.1 Coefficient of Performance -- 9.3.3.2 Profitability and Capabilities of Heat Pump -- 9.3.3.3 Economic Indicators -- 9.3.3.4 Calculation of Greenhouse Gas Emissions -- 9.3.4 Types of Heat Pumps -- 9.3.4.1 Air-to-Air Heat Pumps -- 9.3.4.2 Water-to-Air Heat Pumps -- 9.3.4.3 Air-to-Water Heat Pumps -- 9.3.4.4 Water-To-Water Heat Pumps -- 9.3.4.5 Ground-Coupled Heat Pumps -- 9.3.5 Selection of Heat Source and Heat Pump System -- 9.3.6 Air-Source Heat Pump Systems -- 9.3.6.1 Description of the Systems -- 9.3.6.2 Modeling the Solar-Assisted ASHP System for the Building Heating -- 9.3.6.2.1 Model of the ASHP Unit -- 9.3.6.2.2 Model of the Condenser -- 9.3.6.2.3 Model of the Evaporator -- 9.3.6.2.4 Model of the Compressor -- 9.3.6.2.5 Model of the Electronic Expansion Valve -- 9.3.6.2.6 Model of the Solar Collection Unit -- 9.3.6.2.7 Validation of the Mathematical Model -- 9.3.7 Ground-Source Heat Pump Systems -- 9.3.7.1 Description of SWHP Systems -- 9.3.7.2 Description of GWHP Systems -- 9.3.7.3 Description of GCHP Systems. 9.3.7.3.1 Types of Horizontal GHEs. Sebarchievici, Calin 9780128116623 print version oai:cds.cern.ch:2279408 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4721232 ebook ebook EBL201708 Engineering SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2279394 SzGeCERN 20210421210629.0 9780128041536 electronic version electronic version 9780128041536 print version 9780128041543 electronic version electronic version oai:cds.cern.ch:2279394 cerncds:BOOK EBL 4696958 eng TA330.C453 2017 519 Chicone, Carmen An invitation to applied mathematics differential equations, modeling, and computation San Diego, CA Elsevier Science 2016 880 p ebook Cover -- An Invitation to Applied Mathematics: Differential Equations, Modeling, and Computation -- Copyright -- Table of Contents -- Preface -- To The Professor -- To The Student -- Request -- Chapter 1. Applied Mathematics and Mathematical Modeling -- 1.1 What is Applied Mathematics? -- 1.2 Fundamental and Constitutive Models -- 1.3 Descriptive Models -- 1.4 Applied Mathematics in Practice -- Chapter 2. Differential Equations -- 2.1 The Harmonic Oscillator -- 2.2 Exponential and Logistic Growth -- 2.3 Linear Systems -- 2.4 Linear Partial Differential Equations -- 2.5 Nonlinear Ordinary Differential Equations -- 2.6 Numerics -- Chapter 3. An Environmental Pollutant -- Chapter 4. Acid Dissociation, Buffering, Titration, And Oscillation -- 4.1 A Model for Dissociation -- 4.2 Titration with a Base -- 4.3 An Improved Titration Model -- 4.4 The Oregonator: An Oscillatory Reaction -- Chapter 5. Reaction, Diffusion, and Convection -- 5.1 Fundamental and Constitutive Model Equations -- 5.2 Reaction-diffusion in One Spatial Dimension: Heat, Genetic Mutations, and Traveling Waves -- 5.3 Reaction-diffusion Systems: The Gray-scott Model and Pattern Formation -- 5.4 Analysis of Reaction-diffusion Models: Qualitative and Numerical Methods -- 5.5 Beyond Euler's Method for Reaction-diffusion PDE: Diffusion of Gas in a Tunnel, Gas in Porous Media, Second-order in Time..... -- Chapter 6. Excitable Media: Transport of Electrical Signals on Neurons -- 6.1 The Fitzhugh-Nagumo Model -- 6.2 Numerical Traveling Wave Profiles -- Splitting Methods -- 7.1 A Product Formula -- 7.2 Products For Nonlinear Systems -- Chapter 8. Feedback Control -- 8.1 A Mathematical Model for Heat Control of a Chamber -- 8.2 A One-dimensional Heated Chamber with PID Control -- Chapter 9. Random Walks And Diffusion. 9.1 Basic Probability Theory -- 9.2 Random Walk -- 9.3 Continuum Limit of the Random Walk -- 9.4 Random Walk Generalizations and Applications -- Chapter 10. Problems And Projects: Concentration Gradients, Convection, Chemotaxis, Cruise Control, Constrained Control, Pearson's Random Wa..... -- Chapter 11. Equations of Fluid Motion -- 11.1 Scaling: The Reynolds Number and Froude Number -- 11.2 The Zero Viscosity Limit -- 11.3 The Low Reynolds Number Limit -- Chapter 12. Flow in a Pipe -- Chapter 13. Eulerian Flow -- 13.1 Bernoulli's Form of Euler's Equations -- 13.2 Potential Flow -- 13.3 Potential Flow in Two Dimensions -- 13.4 Circulation, Lift, and Drag -- Chapter 14. Equations of Motion in Moving Coordinate Systems -- 14.1 Moving Coordinate Systems -- 14.2 Pure Rotation -- 14.3 Fluid Motion in Rotating Coordinates -- 14.4 Water Draining in Sinks Versus Hurricanes -- 14.5 A Counterintuitive Result: The Proudman-Taylor Theorem -- Chapter 15. Water Waves -- 15.1 The Ideal Water Wave Equations -- 15.2 The Boussinesq Equations -- 15.3 KDV -- 15.4 Boussinesq Steady State Water Waves -- 15.5 A Free-surface Flow -- Chapter 16. Numerical Methods for Computational Fluid Dynamics -- 16.1 Approximations of Incompressible Navier-stokes Flows -- 16.2 A Numerical Method for Water Waves -- 16.3 The Boundary Element Method (bem) -- 16.4 Boundary Integral Representation -- 16.5 Boundary Integral Equation -- 16.6 Discretization For Bem -- 16.7 Smoothed Particle Hydrodynamics -- 16.8 Simulation of a Free-surface Flow -- Chapter 17. Channel Flow -- 17.1 Conservation of Mass -- 17.2 Momentum Balance -- 17.3 Boundary Layer Theory -- 17.4 Flow in Prismatic Channels with Rectangular Cross Sections of Constant Width -- 17.5 Hydraulic Jump -- 17.6 Saint-venant Model and Systems of Conservation Laws. 17.7 Surface Waves -- Chapter 18. Elasticity: Basic Theory and Equations of Motion -- 18.1 The Taut Wire: Separation of Variables and Fourier Series for the Wave Equation -- 18.2 Longitudinal Waves in a Rod with Varying Cross Section -- 18.3 Ultrasonics -- 18.4 A Three-dimensional Elastostatics Problem: a Copper Block Bolted to a Steel Plate -- 18.5 A One-dimensional Elasticity Model -- 18.6 Weak Formulation of One-dimensional Boundary Value Problems -- 18.7 One-dimensional Finite Element Method Discretization -- 18.8 Coding for the One-Dimensional Finite Element Method -- 18.9 Weak Formulation and Finite Element Method for Linear Elasticity -- 18.10 A Three-dimensional Finite Element Application -- Chapter 19. Problems And Projects: Rods, Plates, Panel Flutter, Beams, Convection-diffusion in Tunnels, Gravitational Potential of a Galaxy..... -- 19.1 Problems: Fountains, Tapered Rods, Elasticity, Thermoelasticity, Convection-Diffusion, and Numerical Stability -- 19.2 Gravitational Potential of a Galaxy -- 19.3 Taylor Dispersion -- 19.4 Lid-driven Cavity Flow -- 19.5 Aerodynamic Drag -- 19.6 Low Reynolds Number Flow -- 19.7 Fluid Motion in a Cylinder -- 19.8 Free-surface Flow -- 19.9 Channel Flow Traveling Waves -- Chapter 20. Classical Electromagnetism -- 20.1 Maxwell's Laws and the Lorentz Force Law -- 20.2 Boundary Conditions -- 20.3 An Electromagnetic Boundary Value Problem -- 20.4 Comments on Maxwell's Theory -- 20.5 Time-harmonic Fields -- Chapter 21. Transverse Electromagnetic (TEM) Mode -- Chapter 22. Transmission Lines -- 22.1 Time-domain Reflectometry Model -- 22.2 TDR Matrix System -- 22.3 Initial Value Problem for the Ideal Transmission Line -- 22.4 The Initially Dead Ideal Transmission Line with Constant Dielectrics -- 22.5 The Riemann Problem -- 22.6 Reflected and Transmitted Waves. 22.7 A Numerical Method for the Lossless Transmission Line Equation -- 22.8 The Lossy Transmission Line -- 22.9 TDR Applications -- 22.10 An Inverse Problem -- Chapter 23. Problems And Projects: Waveguides, Lord Kelvin's Model -- 23.1 TE Modes in Waveguides with Circular Cross Sections -- 23.2 Rectangular Waveguides and Cavity Resonators -- Mathematical and Computational Notes -- A.1 Arzela-Ascoli Theorem -- A.2 C1 Convergence -- A.3 Existence, Uniqueness, and Continuous Dependence -- A.4 Green's Theorem and Integration by Parts -- A.5 Gerschgorin's Theorem -- A.6 Gram-Schmidt Procedure -- A.7 Grobman-hartman Theorem -- A.8 Order Notation -- A.9 Taylor's Formula -- A.10 Liouville's Theorem -- A.11 Transport Theorem -- A.12 Least Squares and Singular Value Decomposition -- A.13 The Morse Lemma -- A.14 Newton's Method -- A.15 Variation of Parameters Formula -- A.16 The Variational Equation -- A.17 Linearization and Stability -- A.18 Poincaré-bendixson Theorem -- A.19 Eigenvalues of Tridiagonal Toeplitz Matrices -- A.20 Conjugate Gradient Method -- A.21 Numerical Computation and Programming Gems of Wisdom -- Answers to Selected Exercises -- References -- Index. EBL201708 Mathematical Physics and Mathematics SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4696958 ebook n 201732 201708 21 PUBLIC https://catalogue.library.cern/legacy/2279394 BOOK MIGRATED 2279393 SzGeCERN 20180612223804.0 9781315355894 electronic version 9781482232028 electronic version EBL 4694442 eng TP680.E585 2017 621.89 Sharma, Brajendra K Environmentally friendly and biobased lubricants Milton CRC Press 2016 579 p Cover -- Half Title -- Title -- Copyright -- Contents -- Preface -- Editors -- Contributors -- SECTION I: Advanced Environmentally Friendly Base Oils and Feedstocks -- Chapter 1: Farnesene-Derived Base Oils -- Chapter 2: Estolides: Bioderived Synthetic Base Oils -- Chapter 3: Effect of Structure on Viscosity and Pour Points of Epoxidized Soybean Oil Lubricants -- Chapter 4: Isostearic Acids: Synthesis, Properties, and Process Development -- Chapter 5: Producing Monomers and Polymers from Plant Oils -- SECTION II: Biobased Hydraulic Lubricants and Biodegradability -- Chapter 6: Performance and Technical Requirements of Low-Environmental Impact Lubricants -- Chapter 7: Environmental Approach to Hydraulic Fluids -- Chapter 8: Environmentally Acceptable Hydraulic Lubricants -- Chapter 9: Biodegradability and Ecotoxicity Evaluation of Lubricants -- SECTION III: Chemically/Enzymatically Modified Environmentally Friendly Base Oils -- Chapter 10: Biolubricant Production Catalyzed by Enzymes -- Chapter 11: Lipases as Biocatalyst for Production of Biolubricants -- Chapter 12: Synthetic Methodologies of Ester-Based Eco-Friendly, Biodegradable Lubricant Base Stocks for Industrial Applications -- SECTION IV: Vegetable Oil-Based Environmentally Friendly Fluids -- Chapter 13: Engineering and Technology of Environmentally Friendly Lubricants -- Chapter 14: Thermo-Oxidative Stability of Base Oils for Green Lubricants -- Chapter 15: Vegetable Oils as Additive in the Formulation of Eco-Friendly Lubricant -- Chapter 16: Vegetable Oil-Based Lubricant Additives -- SECTION V: Additives for Environmentally Friendly Fluids -- Chapter 17: Friction of Fatty Acids in Nanoscale Contacts -- Chapter 18: Additives for Biodegradable Lubricants -- Chapter 19: Micro- and Nano-TiO2, a Lubricant Additive for Environmentally Friendly Lubricants. Chapter 20: Biodiesel: A Fuel, a Lubricant, and a Solvent -- Chapter 21: Corrosion Protection of Steel by Thin Coatings of Starch-Oil Dry Lubricants -- Index. Biresaw, Girma 9781482232028 print version oai:cds.cern.ch:2279393 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4694442 ebook ebook EBL201708 Engineering SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2279391 SzGeCERN 20210421210629.0 9783527338368 electronic version electronic version 9783527338368 print version 9783527690947 electronic version electronic version oai:cds.cern.ch:2279391 cerncds:BOOK EBL 4691461 eng R857.P6.B56 2017 610.28 Francis, Raju Biomedical applications of polymeric materials and composites Berlin John Wiley & Sons 2016 415 p ebook Cover -- Title Page -- Copyright -- Contents -- List of Contributors -- Preface -- Chapter 1 Biomaterials for Biomedical Applications -- 1.1 Introduction -- 1.2 Polymers as Hydrogels in Cell Encapsulation and Soft Tissue Replacement -- 1.3 Biomaterials for Drug Delivery Systems -- 1.4 Biomaterials for Heart Valves and Arteries -- 1.5 Biomaterials for Bone Repair -- 1.6 Conclusion -- Abbreviations -- References -- Chapter 2 Conducting Polymers: An Introduction -- 2.1 Introduction -- 2.2 Types of Conducting Polymers -- 2.2.1 Poly(thiophene) -- 2.2.2 Poly(para-phenylenevinylene) -- 2.2.3 Poly(carbazole) -- 2.2.4 Polyaniline -- 2.2.5 Polypyrrole -- 2.3 Synthesis of Conducting Polymers -- 2.4 Surface Functionalization of Conducting Polymers -- 2.4.1 Physical-Chemical Modifications -- 2.4.2 Electrical Property Modification -- 2.4.3 Mechanical Property Modification -- Abbreviations -- References -- Chapter 3 Conducting Polymers: Biomedical Applications -- 3.1 Applications -- 3.1.1 Drug Delivery -- 3.1.1.1 Release and Diffusion -- 3.1.1.2 Targeting and Delivery -- 3.1.2 Electrode Coating -- 3.1.3 Biological Sensors -- 3.1.4 Bioactuators -- 3.1.5 Tissue Engineering Applications -- 3.1.5.1 Neural Applications -- 3.1.5.2 Cardiovascular Applications -- 3.1.5.3 Applications in Brain Recording -- 3.1.5.4 Applications in Scaffolds -- 3.2 Conclusions -- Abbreviations -- References -- Chapter 4 Plasma-Assisted Fabrication and Processing of Biomaterials -- 4.1 Introduction -- 4.1.1 Plasma in Medicine -- 4.1.2 Plasma Sterilization -- 4.1.3 Plasma Treatment of Cells -- 4.1.4 Plasma-Assisted Surface Modification -- 4.1.5 Plasma Functionalization -- 4.1.6 Plasma-Enabled Synthesis of Polymers -- 4.1.7 Plasma-Enhanced Fabrication of Amorphous and Graphene-Like Carbon -- 4.1.7.1 Plasma Polymerized Diamond-Like Carbon (DLC) Films. 4.1.7.2 DLC films as Hemocompatible Coatings -- 4.1.7.3 DLC Films as Antibacterial Coatings -- 4.1.7.4 DLC Films as Corrosion Resistant and Low Wear Coatings -- 4.1.7.5 Efficacy of DLC Films Tested in vivo -- 4.1.7.6 Plasma-Enhanced Synthesis of Graphene and Carbon Nanoparticles -- 4.2 Conclusion -- References -- Chapter 5 Smart Electroactive Polymers and Composite Materials -- 5.1 Introduction -- 5.2 Types of Electroactive Polymers -- 5.3 Polymer Gels -- 5.4 Conducting Polymers -- 5.5 Ionic Polymer-Metal Composites (IPMC) -- 5.6 Conjugated Polymer -- 5.7 Piezoelectric and Electrostrictive Polymers -- 5.8 Dielectric Elastomers -- 5.9 Summary -- References -- Chapter 6 Synthetic Polymer Hydrogels -- 6.1 Introduction -- 6.2 Polymer Hydrogels -- 6.3 Synthetic Polymer Hydrogels -- 6.3.1 Methods to Synthesis Hydrogels -- 6.3.1.1 Physical Cross-Linking -- 6.3.1.2 Chemical Cross-Linking -- 6.3.1.3 Radiation Cross-Linking -- 6.3.2 Examples of Synthetic Polymer Hydrogels -- 6.3.2.1 Poly(acrylic acid) and its Derivatives -- 6.3.2.2 Poly(ethylene oxide) (PEO) and its Copolymers -- 6.3.2.3 Poly(vinyl pyrrolidone) (PVP) -- 6.3.2.4 Poly(vinyl alcohol) (PVA) Hydrogel -- 6.3.2.5 Polypeptide Hydrogels -- 6.3.3 Properties of Synthetic Polymer Hydrogels -- 6.3.3.1 Smart Polymer Hydrogels -- 6.3.3.2 Swelling Property -- 6.4 Applications of Synthetic Polymer Hydrogels -- 6.5 Conclusion -- Abbreviations -- References -- Chapter 7 Hydrophilic Polymers -- 7.1 Introduction -- 7.2 Classification -- 7.2.1 Natural Hydrophilic Polymers -- 7.2.1.1 Natural Hydrophilic Polymers from Plant Origin -- 7.2.1.2 Natural Hydrophilic Polymers from Animal Origin -- 7.2.2 Semisynthetic Hydrophilic Polymers -- 7.2.2.1 Modified Cellulose -- 7.2.2.2 Modified Chitosan -- 7.2.3 Synthetic Hydrophilic Polymers -- 7.2.3.1 Poly(acrylamide) (PAAM) -- 7.2.3.2 Poly(acrylic acid) (PAA). 7.2.3.3 Poly(ethylene Oxide) (PEO) or Poly(ethylene Glycol) (PEG) -- 7.2.3.4 Poly[(organo)phosphazenes] -- 7.2.3.5 Poly[N-(2-hydroxypropyl) methacrylamide] (PHPMA) -- 7.2.3.6 Divinyl Ether-Maleic Anhydride (DIVEMA) -- 7.2.3.7 Poly(oxazoline) (POZ) -- 7.2.3.8 Poly(vinyl pyrrolidone) (PVP) -- 7.2.3.9 Poly(N-isopropylacrylamide) (PNIPAM) -- 7.2.3.10 Poly(vinyl alcohol) (PVA) -- 7.3 Applications of Hydrophilic Polymers -- 7.4 Conclusions -- Abbreviations -- References -- Chapter 8 Properties of Stimuli-Responsive Polymers -- 8.1 Introduction -- 8.2 Physically Dependent Stimuli -- 8.2.1 Temperature -- 8.2.1.1 Poly(N-isopropyl Acrylamide) or PNIPAM -- 8.2.1.2 Poly Ethylene Glycol (PEG) -- 8.2.1.3 Elastin -- 8.2.1.4 Poly(N-vinylisobutyramide) -- 8.2.1.5 Poly(diethyl vinylphosphonate) (PDAVP) -- 8.2.1.6 Poly(N-vinylcaprolactam) -- 8.2.1.7 Poly(N,N-diethylacrylamide) (PDEAAm) -- 8.2.1.8 Poly(N-alkyl methacrylamides) -- 8.2.1.9 Oligo (Ethylene Glycol)-Based Polymers -- 8.2.1.10 Poly(N-substituted / -asparagine) -- 8.2.2 Pressure -- 8.2.2.1 Poly(N-isopropyl acrylamide) (PNIPAM) -- 8.2.3 Magnetic Field -- 8.2.3.1 Poly(N-isopropylacrylamide) (PNIPAM) -- 8.2.3.2 Poly(ethylene glycol) methacylate (PEGMA) -- 8.2.4 Light -- 8.2.4.1 Poly(N-isopropylacrylamide) (PNIPAM) -- 8.2.5 Solvent -- 8.2.6 Mechanical Stress -- 8.3 Chemically Dependent Stimuli -- 8.3.1 pH -- 8.3.1.1 Methacrylic Acid (MAAc) -- 8.3.1.2 Polyacrylic Acid -- 8.3.1.3 Poly(l-lysine) -- 8.3.1.4 Polysulfonic Acid -- 8.3.2 Ionic Strength -- 8.3.2.1 Poly(N-isopropylacrylamide) (PNIPAM) -- 8.3.3 Redox-Responsive Polymers -- 8.4 Biologically Dependant Stimuli -- 8.4.1 Enzyme-Responsive Polymers -- 8.4.1.1 Polyethylene Glycol (PEG) -- 8.4.2 Glucose-Responsive Polymers -- 8.4.2.1 N,N-Dimethyl Aminoethyl Methacrylate (DMAEMA) -- 8.4.2.2 Polyethylene Glycol (PEG) -- 8.5 Dual Stimuli. 8.5.1 Thermo- and pH-Responsive Polymers -- 8.5.2 pH- and Redox-Responsive Polymers -- 8.5.3 Thermo- and Redox-Responsive Polymers -- 8.5.4 pH- and Magnetic-Responsive Polymers -- 8.5.5 Thermo- and Light-Responsive Polymers -- 8.6 MultiStimuli-Responsive Materials -- 8.6.1 Light-, pH- and Temperature-Responsive Polymers -- 8.6.2 Light-, Redox-, and Temperature-Responsive Polymers -- 8.6.3 Environmental-, pH-, and Temperature-Responsive Polymers -- 8.6.4 Redox-, pH-, Temperature-Responsive Polymers -- 8.6.5 Magnetic-, pH-, and Redox-Responsive Polymers -- 8.6.6 Temperature-, pH-, Magnetic-Responsive Polymers -- 8.7 Conclusion -- Abbreviations -- References -- Chapter 9 Stimuli-Responsive Polymers: Biomedical Applications -- 9.1 Introduction -- 9.2 Imaging -- 9.3 Sensing -- 9.4 Delivery of Therapeutic Molecules -- 9.4.1 Low Molecular Weight Drug -- 9.4.2 Gene Delivery -- 9.4.3 Proteins and Enzymes Delivery -- 9.5 Other Applications -- 9.6 Conclusion -- Abbreviations -- References -- Chapter 10 Functionally Engineered Sol-Gel Derived Inorganic Gels and Hybrid Nanoarchitectures for Biomedical Applications -- 10.1 Introduction -- 10.2 Some of the Useful Definitions of Various Gel Forms -- 10.2.1 Based on the Nature of the Solvent, Entrapped Gels are Classified as Hydrogels and Organogels (Figure 10.2) -- 10.2.1.1 Hydrogels/Aquagels (Water-Based Gels) -- 10.2.1.2 Organogels (Gels with a Non-Aqueous Solvent) -- 10.2.2 Based on Physical Nature, Gels are Classified as Elastic and Rigid Gels (Figure 10.3) -- 10.2.2.1 Elastic Gels (Physical Gels) -- 10.2.2.2 Rigid Gels (Chemical Gels) -- 10.2.3 Based on Drying Techniques, Gels are Classified as Xerogels, Aerogels, and Cryogels (Figure 10.4) -- 10.2.3.1 Xerogels -- 10.2.3.2 Cryogels -- 10.2.3.3 Aerogel. 10.2.4 Based on Rheological Properties, Gels are Classified as Plastic Gels, Pseudoplastic Gels, and Thixotropic Gels (Figure 10.5) -- 10.2.4.1 Plastic Gels -- 10.2.4.2 Pseudoplastic Gels -- 10.2.4.3 Dilatant Gels -- 10.2.4.4 Thixotropic Gels -- 10.3 Inorganic Metal-Oxide Gels and Hybrid Nanoarchitectures -- 10.4 Sol-Gel Synthesis of Inorganic Metal-Oxide Gels -- 10.5 Physically Cross-Linked Inorganic and Hybrid Gel -- 10.6 Sol-Gel Derived Hybrid Metal-Oxides Nanostructures -- 10.7 Biomedical Applications of Sol-Gel Derived Inorganic and Hybrid Nanoarchitectures for Both Therapeutic and Diagnostic (Theranostics) Functions -- 10.8 Sol-Gel Matrices for Controlled Drug Delivery -- 10.8.1 Metal-Oxide Xerogels -- 10.8.2 Metal-Oxide Aerogels -- 10.8.3 Physically Cross-Linked Inorganic and Hybrid Gel -- 10.8.4 Silica-Based Hybrids and Ordered Mesoporous Materials -- 10.9 Stimuli-Responsive Drug Delivery Systems -- 10.10 Sol-Gel Matrix Targeted Cancer Therapy -- 10.11 Sol-Gel Matrices for Imaging and Radiotherapy (Radiolabeling) -- 10.11.1 Magnetic Resonance Imaging (MRI) -- 10.11.2 Photodynamic Therapy (PDT) -- 10.11.3 Positron Emission Tomography Imaging (PET) -- 10.12 Concluding Remarks and Future Perspectives -- Acknowledgment -- Abbreviations -- References -- Chapter 11 Relevance of Natural Degradable Polymers in the Biomedical Field -- 11.1 Introduction -- 11.2 Natural Biopolymers and its Application -- 11.2.1 Chitosan -- 11.2.2 Cellulose -- 11.2.3 Proteins and Poly(amino acids) -- 11.2.4 Collagen -- 11.2.5 Carrageenans -- 11.2.6 Elastin -- 11.2.7 Elastin-Like Peptides -- 11.2.8 Albumin -- 11.2.9 Fibrin -- 11.2.10 Hyaluronic Acid -- 11.2.11 Glycosaminoglycans -- 11.2.12 Heparin (HP) -- 11.2.13 Heparan Sulfate -- 11.2.14 Chondroitin Sulfate -- 11.2.15 Dermatan Sulfate -- 11.2.16 Keratin Sulfate -- 11.2.17 Dextran -- 11.2.18 Pectin -- 11.2.19 Gelatin. 11.2.20 Starch. EBL201708 Health Physics and Radiation Effects SzGeCERN BOOK Kumar, D Sakthi https://cds.cern.ch/auth.py?r=EBLIB_P_4691461 ebook n 201732 201708 21 PUBLIC https://catalogue.library.cern/legacy/2279391 BOOK MIGRATED 2279380 SzGeCERN 20210421210630.0 9780444563538 electronic version electronic version 9780444563538 print version 9780444563606 electronic version electronic version oai:cds.cern.ch:2279380 cerncds:BOOK EBL 4659386 eng TD195.E49.V579 2017eb 541 Viswanathan, Balasubramanian Energy sources fundamentals of chemical conversion processes and applications Oxford Elsevier Science 2016 410 p ebook Front Cover -- Energy Sources -- Energy Sources: Fundamentals of Chemical Conversion Processes and Applications -- Copyright -- Contents -- Preface -- 1 - Introduction -- WHY ANOTHER BOOK ON ENERGY? -- NUCLEAR ENERGY -- SOLAR ENERGY -- HYDROGEN ENERGY -- FUEL CELLS -- Gaseous Proton Exchange Membrane Fuel Cell -- Liquid Proton Exchange Membrane Fuel Cell -- Challenges -- PHOTOSYNTHESIS AS A POSSIBLE ENERGY SOURCE -- Biochemical Conversions -- PROPOSED SCOPE OF THIS PRESENTATION -- REFERENCES -- 2 - Petroleum -- INTRODUCTION -- ORIGIN OF PETROLEUM -- Biogenic Theory -- Abiogenic Theory -- COMPOSITION OF PETROLEUM -- PRODUCTION OR EXTRACTION OF PETROLEUM -- Primary Oil Recovery -- Secondary Oil Recovery -- Tertiary Oil Recovery -- PETROLEUM REFINING -- Details of Unit Processes -- Hydrotreater -- Catalytic Reforming -- Cracking -- Fluid Catalytic Cracking -- Hydrocracking -- Steam Cracking -- Alkylation -- Isomerization -- PRODUCTS OF OIL REFINERY -- Asphalt -- Diesel Fuel -- Synthetic Diesel -- Biodiesel -- Fuel Oil -- Gasoline -- Octane Rating -- Additives to Gasoline for Value Addition -- To Increase the Octane Number -- To Increase Combustion Capacity -- Energy Content -- Kerosene -- Liquefied Petroleum Gas -- Lubricant -- Paraffin -- Mineral Oil -- Tar -- Bitumen -- Pitch (Resin) -- PETROCHEMICALS -- SUGGESTED READING -- 3 - Natural Gas -- INTRODUCTION -- SOURCES OF NATURAL GAS -- PHYSICAL PROPERTIES OF NATURAL GAS -- CLASSIFICATION OF NATURAL GAS -- Nonassociated Gas -- Associated Gas -- Classification Based on Gas Composition -- NATURAL GAS PRODUCTS -- Natural Gas Liquids -- Natural Gas Processing -- Natural Gas Chain -- TRANSPORTATION -- Transported as Liquefied Natural Gas -- Sector-Wise Exploitation of Natural Gas -- Residential Use -- Commercial Use -- Industrial Use of Natural Gas -- Power Generation -- Transportation. CHEMICALS FROM NATURAL GAS: NATURAL GAS AS A FEEDSTOCK FOR PRODUCTION OF VALUE-ADDED PRODUCTS/CHEMICALS -- Hydrogen Cyanide -- Chloromethane -- Acetylene -- Carbon Disulfide -- Carbon Black -- Proteins From Natural Gas -- Chemicals From Methane by Synthetic Gas Route -- Syngas to Methanol -- Fischer-Tropsch Synthesis -- Oxidative Coupling of Methane -- Shale Gas -- Liquefied Natural Gas -- Natural Gas and the Environment -- REFERENCES -- 4 - Coal -- INTRODUCTION -- COAL: AN AGE-OLD ENERGY SOURCE -- THE GENESIS OF COAL -- METAMORPHOSIS OF PEAT TO COAL -- MOLECULAR STRUCTURE OF COAL -- Peat -- Lignite (or Brown Coal) -- Subbituminous Coal -- Bituminous Coal -- Anthracites -- COAL PETROGRAPHY: THE STUDY OF MACERALS -- CONSTITUTION OF COAL -- Variation of Oxygen Content With Rank -- Variation of the Principal Oxygen Functional Groups With Carbon Content -- Determination of Fixed Carbon Content -- Proximate Analysis -- Ash Content -- Fuel Ratio of Coal -- Ultimate Analysis -- Mineral Matter of Coal -- CARBONIZATION -- Caking Property -- Free Swelling Index -- COAL FOR GENERATION OF ELECTRICITY -- Zero-Emission Power Plants: The Need of the Hour -- Hydrogen Content and Heating Value -- COAL LIQUEFACTION -- Historical Background -- The Process of Liquefaction of Coal -- Catalysis in the Liquefaction of Coal -- Hydrogen Sources -- COAL BLENDING -- Coal Gasification [10] -- In Situ Gasification of Underground Coal -- Chemicals From Coal -- CALORIFIC VALUE AND ITS DETERMINATION -- Determination of Calorific Value -- Working -- Gross and Net Calorific Value -- Need for Net Calorific Value -- COAL BURNING: ENVIRONMENTAL HAZARDS AND MEASURES -- Carbon Sequestration -- Carbon Dioxide Capture From the Air -- Carbon Dioxide Capture From Power Plants -- CONCLUSION -- REFERENCES -- 5 - Nuclear Fission -- INTRODUCTION -- THE NUCLEUS AND ITS CONSTITUENTS -- Charge. Mass -- Isotopes, Isotones, and Isobars -- Mass Defect and Binding Energy -- Binding Energy -- Binding Energy and Nuclear Stability -- RADIATION AND NUCLEAR REACTIONS -- Alpha Radiation -- Beta Radiation -- Gamma Radiation -- Half-Life -- NUCLEAR FISSION -- Chain Reaction -- Critical Mass -- 235U and 238U -- 232Th -- Uranium Enrichment -- Controlled Nuclear Fission and Nuclear Reactors -- FAST BREEDER REACTOR -- FISSION TO ELECTRICITY -- A WORD OF CAUTION -- REFERENCE -- FURTHER READING -- 6 - Nuclear Fusion -- INTRODUCTION -- METHODS FOR CARRYING OUT FUSION -- COMPARISON OF ENERGIES RELEASED FROM VARIOUS PROCESSES -- CONDITIONS FOR A FUSION REACTION -- TEMPERATURE -- DENSITY -- ENERGY CONFINEMENT -- MAGNETIC PLASMA CONFINEMENT -- PRINCIPLE METHODS OF HEATING PLASMA: OHMIC HEATING AND CURRENT DRIVE -- NEUTRAL BEAM HEATING -- RADIO-FREQUENCY HEATING -- SELF-HEATING OF PLASMA -- MEASURING THE PLASMA -- COLD FUSION -- SUGGESTED READING -- 7 - Solar Energy: Fundamentals -- SUGGESTED READING -- 8 - Photovoltaic Systems -- DYE-SENSITIZED SOLAR CELLS -- PEROVSKITE-BASED SOLAR CELLS -- REFERENCES -- 9 - Hydrogen as an Energy Carrier -- DIRECT ELECTROLYSIS -- EFFECT OF TEMPERATURE AND PH ON THE DECOMPOSITION POTENTIAL -- STEAM-REFORMING (STEAM-METHANE REFORMATION) -- BIOMASS GASIFICATION -- HYDROGEN FROM COAL -- BIOCHEMICAL HYDROGEN PRODUCTION -- THERMOCHEMICAL DECOMPOSITION OF WATER -- PHOTOCHEMICAL HYDROGEN PRODUCTION -- PHOTO-ELECTROCHEMICAL HYDROGEN PRODUCTION -- PHOTOCATALYTIC HYDROGEN PRODUCTION -- DEVELOPMENTS IN PHOTO-ELECTROCHEMICAL AND PHOTOCATALYTIC DECOMPOSITION OF WATER -- REFERENCES -- 10 - Hydrogen Storage -- GASEOUS HYDROGEN STORAGE -- HYDROGEN STORAGE -- SOLID HYDROGEN STORAGE -- Metal Hydrides -- Complex Metal Hydrides -- Zeolites -- Glass Spheres -- Metal Organic Frameworks -- Chemical Storage -- Carbon Materials. Why Use Carbon Materials for Hydrogen Storage? -- The Coordination Number is Variable/Expandable -- They Promote New Morphologies -- Covalent Character Retention -- Variable Hybridization Is Possible -- Geometrical Possibilities/Size Considerations -- Metastable State -- Similarity to Biological Architecture: "Haeckelites" -- Boron- and Nitrogen-Doped Graphite Arrangements Promise Important Applications -- Usable Capacity Ratio -- Activated Carbon -- Fullerene -- Carbon Nanofibers -- Carbon Nanotubes -- Synthesis of Carbon Nanotubes -- Hydrogen Storage in Carbon Nanotubes -- What Are the Alternatives? -- EPILOGUE -- 11 - Photo-Catalytic Routes for Fuel Production -- MECHANISM OF SEMICONDUCTOR PHOTO-CATALYSIS -- APPLICATIONS OF PHOTO-CATALYSIS FOR POLLUTANT REMOVAL -- PROCESSES FOR CO2 CONVERSION -- CO2 PHOTO-REDUCTION WITH WATER: PROCESS FEATURES -- Thermodynamic Features -- Choice of Catalysts: Guiding Principles -- CATALYSTS FOR PHOTO-REDUCTION OF CO2 WITH WATER -- Need for Modifications in Catalysts -- Major Types of Modifications in Catalysts -- INFLUENCE OF EXPERIMENTAL PARAMETERS -- Effect of Wavelength, Band Gap, and Light Intensity -- Influence of Reaction Pressure -- Influence of Titania Particle Size -- Influence of Type of Photo-Reactors and Reaction Media -- Photo-Reduction With Other Reductants -- CLASSIFICATION OF CATALYST SYSTEMS -- KINETICS AND MECHANISM OF CO2 PHOTO-REDUCTION WITH WATER -- DEACTIVATION OF PHOTO-CATALYSTS -- REFERENCES -- 12 - Batteries -- Chapter 12.1: Primary Batteries -- INTRODUCTION -- Terminology in Batteries -- Primary Batteries: Brief Comparison -- The Leclanche Dry Cell -- Cell Performance -- Alkaline MnO2 Batteries -- Performance -- Magnesium Dry Cell -- Mercury Oxide-Zinc Battery (Ruben-Mallory Battery) -- Zinc-CuO Leclanche Battery -- Silver Oxide-Zinc Battery -- Metal-Air Batteries -- Performance. Cadmium-Air Cells -- Lithium-Based Cells -- Lithium-Iron Disulfide Cell -- Lithium-Thionyl Chloride -- Lithium-Sulfur Dioxide -- Solid Cathode Lithium Cells -- LiMnO2 -- Li(CF)n Lithium Polycarbon Monofluoride -- Solid Electrolyte Lithium Cells -- Lithium-Iron Cells -- Selection Criteria for Battery Systems -- Chapter 12.2: Secondary Batteries -- INTRODUCTION -- PERFORMANCE -- TYPES AND CLASSIFICATION -- LEAD-ACID BATTERY -- DESIGN -- ELECTRODE PLATES -- SEPARATORS -- ELECTROLYTE -- CAPACITY OF LEAD-ACID BATTERIES -- TEMPERATURE EFFECT -- EFFICIENCY -- Dry Charged Batteries -- ALKALINE STORAGE BATTERIES -- NICKEL-CADMIUM CELLS -- Construction of the Electrodes -- MERITS OF THE SYSTEM -- EFFICIENCY -- SILVER-ZINC BATTERY -- Performance -- Advantages -- SEALED STORAGE BATTERIES -- NICKEL-METAL HYDRIDE CELLS -- LITHIUM ION CELLS -- HYDROGEN-NICKEL BATTERY -- METAL HALOGEN CELLS -- MANGANESE-TITANIUM (LITHIUM) CELLS -- RECHARGEABLE ALKALINE MANGANESE CELLS -- REDOX (LIQUID ELECTRODE) CELLS -- VANADIUM REDOX CELLS -- BATTERY ECONOMICS -- Chapter 12.3: Other Batteries -- LIQUID-ACTIVATED BATTERIES -- ACID-ACTIVATED BATTERIES -- Alkali-Activated Batteries -- GAS-ACTIVATED BATTERIES -- HEAT-ACTIVATED BATTERIES -- SOLID-STATE AND MOLTEN SOLVENT BATTERIES -- SOLID-STATE ELECTROLYTES -- IONIC CONDUCTIVITY IN SOLID ELECTROLYTES (FAST ION CONDUCTORS) -- SOLID-STATE BATTERIES -- HIGH-TEMPERATURE CELLS -- SILVER ION BATTERIES -- SOLID-STATE PRIMARY LITHIUM BATTERIES -- SODIUM BATTERIES -- SOLID-STATE SECONDARY LITHIUM BATTERIES -- Lithium-Iron Sulfide Batteries -- Polymeric Batteries -- Lithium Halogen Batteries -- Thin Film Batteries Using Copper Ion Conductors -- LEAD-CUPRIC FLUORIDE THIN-LAYER BATTERIES -- MANUFACTURING PROCESS -- 13 - Supercapacitors -- INTRODUCTION -- FARADAIC SUPERCAPACITORS -- DIFFERENCES BETWEEN A SUPERCAPACITOR AND A BATTERY. ELECTRODE MATERIALS FOR SUPERCAPACITORS. EBL201708 Chemical Physics and Chemistry SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4659386 ebook n 201732 201708 21 PUBLIC https://catalogue.library.cern/legacy/2279380 BOOK MIGRATED 2279353 SzGeCERN 20200503231950.0 9781138917170 electronic version electronic version 9781138917170 print version 9781317423294 electronic version electronic version oai:cds.cern.ch:2279353 cerncds:BOOK EBL 4556481 eng TK452 -- .R634 2016eb 621.31924 Roberts, Peter Electrical installation work level 3 London Taylor and Francis 2016 539 p ebook Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Chapter 1 EAL Unit QELTK3/002: Understand environmental legislation, working practices and the principles of environmental technology systems -- Chapter 2 EAL Unit QELTK3/003: Understanding the practices and procedures for overseeing and organizing the work environment -- Chapter 3 EAL Unit ELEC3/04a: Electrical installation planning, preparing and designing -- Chapter 4 EAL Unit QELTK3/006: Understanding the principles, practices and legislation for the inspection, testing, commissioning and certification of electrotechnical systems -- Chapter 5 EAL Unit QELTK3/007: Understanding the principles, practices and legislation for diagnosing and correcting electrical faults in electro technical systems and equipment in buildings, structures and the environment -- Chapter 6 EAL Unit ELEC3/008: Principles of electrical science -- Answers to 'Test your knowledge' questions -- Answers to classroom activities -- Answers to design activities and design exercise -- Appendix A: Abbreviations, symbols and codes -- Appendix B: Formulas for electrical principles -- Glossary of terms -- Index. EBL201708 Engineering SzGeCERN BOOK Baker, Mark Roberts, Peter https://cds.cern.ch/auth.py?r=EBLIB_P_4556481 ebook n 201732 201708 21 PUBLIC BOOK DELETED 2279349 SzGeCERN 20180612223804.0 9781317370741 electronic version 9781138944954 electronic version EBL 4542645 eng TK9203.B7 621.4834 Cochran, Thomas B The liquid metal fast breeder reactor an environmental and economic critique London Taylor and Francis 2015 219 p Routledge revivals 9781138944954 print version oai:cds.cern.ch:2279349 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4542645 ebook ebook EBL201708 Engineering SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2279341 SzGeCERN 20210421210635.0 9783433031407 electronic version electronic version 9783433031407 print version 9783433606681 electronic version electronic version oai:cds.cern.ch:2279341 cerncds:BOOK EBL 4529696 eng TJ263 -- .S535 2016eb 621.44 Shallow geothermal systems recommendations on design, construction, operation and monitoring Berlin Wilhelm Ernst & Sohn Verlag fur Architektur und Technische 2016 316 p ebook Title Page -- Copyright -- Preface -- Acknowledgements -- List of Figures -- List of Tables -- Preamble -- Notation -- Chapter 1: Introduction -- Chapter 2: Principles -- 2.1 Geological, Hydrogeological and Geotechnical Principles -- 2.2 Geothermal Principles -- 2.3 Solar Energy Zone -- 2.4 Geosolar Transition Zone -- 2.5 Terrestrial Zone -- 2.6 Anthropogenic Thermal Influence -- 2.7 Interaction Between Geothermal Energy Systems and the Ground -- Chapter 3: Geothermal Energy Installations -- 3.1 Closed Systems -- 3.2 Open Systems (Direct Use of Groundwater) -- 3.3 Geothermal Energy Storage Concepts -- Chapter 4: Legislative Principles -- 4.1 Water Legislation -- 4.2 Mining Legislation -- 4.3 Natural Mineral Deposits Legislation -- 4.4 Nature and Landscape Conservation -- 4.5 Environmental Impact Assessment -- 4.6 Non-Statutory Regulations -- Chapter 5: Planning Principles -- 5.1 Project Workflow -- 5.2 Surveying Requirements for BHE Installations -- 5.3 Models for Simulating Heat Transfer -- Chapter 6: Boreholes and Completion -- 6.1 Drilling Methods -- 6.2 Equipment in Boreholes -- 6.3 Boreholes: Deviation from the Vertical -- 6.4 Geological and Hydrogeological Influences -- 6.5 Response Test Methods -- Chapter 7: Design, Construction and Operation of Closed Systems -- 7.1 BHE Systems -- 7.2 Horizontal Collectors -- Chapter 8: Design, Construction and Operation of Open Systems -- 8.1 Well Systems -- 8.2 Aquifer Thermal Energy Storage (ATES) -- Chapter 9: Risk Potential -- 9.1 The 5-M Method -- 9.2 Geological Risks -- 9.3 Hydrogeological Risks -- 9.4 Environmental Risks -- 9.5 Risks during BHE Installation -- 9.6 Operational Risks -- Literature -- Glossary -- End User License Agreement. EBL201708 Engineering SzGeCERN BOOK Geowissen, Deutsche Gesellschaft fur https://cds.cern.ch/auth.py?r=EBLIB_P_4529696 ebook n 201732 201708 21 PUBLIC https://catalogue.library.cern/legacy/2279341 BOOK MIGRATED 2279278 SzGeCERN 20201207230445.0 9781119021766 electronic version electronic version 9781119021766 print version 9781119021797 electronic version electronic version oai:cds.cern.ch:2279278 cerncds:BOOK EBL 4179326 eng TK6670.T66 2016 621.382 Tooms, Michael S Colour reproduction in electronic imaging systems photography, television, cinematography New York, NY John Wiley & Sons 2015 739 p ebook Colour Reproduction in Electronic Imaging Systems -- Contents -- Preface -- Acknowledgements -- About the Companion Website -- Introductions -- The Book -- The Colour Reproduction Workbook -- Part 1 Colour - Perception, Characteristics and Definition -- Introduction -- 1 The Perception of Colour -- 1.1 Introduction -- 1.2 Setting the Scene -- 1.2.1 The Historic Developments Leading to an Understanding of Colour Perception -- 1.2.2 Surface Colours -- 1.3 Characterising the Responses of the Eye to Light -- 1.4 The Three Characteristics of the Eye Relevant to Reproduction -- 1.5 The Quantitative Response or Tonal Range of the Eye -- 1.6 The Qualitative Response of the Eye -- 2 Mapping, Mixing and Categorising Colours -- 2.1 Primary Colours -- 2.1.1 Additive Primaries -- 2.1.2 Subtractive Primaries -- 2.1.3 The Non-Primaries -- 2.1.4 Primaries in Reproduction -- 2.2 Colour Mixing -- 2.2.1 Grassmans Law -- 2.3 Colour in Three Dimensions -- 2.3.1 The Simple Three-Dimensional Colour Space -- 2.3.2 The Lightness Axis -- 2.3.3 The Tone Scale -- 2.4 Colour Terminology -- 2.5 Categorising Colours -- 2.5.1 The Munsell Colour System -- 2.6 The Effects of Illumination on the Perception of Colour -- Part 2 The Measurement and Generation of Colour -- Introduction -- 3 A Practical Approach to the Measurement of Colour -- 3.1 The Fundamentals of Colour Measurement -- 3.1.1 Establishing a Method for the Measurement of Colour -- 3.2 Colour Matching Functions -- 3.2.1 Selecting the Primaries -- 3.2.2 The Colorimeter for Deriving the Colour Matching Functions -- 3.2.3 The Observers -- 3.2.4 Matching the Spectrum -- 3.2.5 Observer Results -- 3.3 Measuring Colour with the CMFs -- 3.4 Chromaticity Diagrams -- 3.4.1 Reducing Colour to a Two-Dimensional Quantity -- 3.4.2 Three Steps to Producing a Chromaticity Diagram -- 3.4.3 Characteristics of the Chromaticity Diagram. 3.4.4 Plotting Colours on the Chromaticity Diagram -- 4 Colour Measurement Standardisation - The CIE System of Colour Measurement -- 4.1 Limitations of the Fundamental Approach to Colour Measurement -- 4.2 The CIE -- 4.3 The CIE 1931 Standard Observer -- 4.4 The CIE 1931 X, Y, Z System of Colour Measurement -- 4.4.1 Ensuring that One Primary Carries All the Luminance Information -- 4.4.2 Transforming the R,G,B Diagram to the X,Y, Z Diagram -- 4.4.3 The Transformation Process -- 4.4.4 The X,Y,Z CMFs -- 4.4.5 The 1931 CIE Chromaticity Diagram -- 4.4.6 Colour Measurement Using the ̄x( ), ̄y( ), ̄z( ) CMFs -- 4.5 Transforming the CIE X, Y, Z Parameters to Perceptually Related Parameters -- 4.6 The CIE 1976 UCS Diagram -- 4.6.1 Subjective Limitations of the CIE 1931 Chromaticity Diagram -- 4.6.2 The UCS Diagram -- 4.6.3 Comparing the Two CIE Chromaticity Diagrams -- 4.7 The CIE 1976 (L*, u*, v*) Colour Space -- 4.7.1 Establishing a Perceptively Uniform Colour Space -- 4.7.2 Specifying the Lightness Characteristic -- 4.7.3 Constructing the Perceptibly Uniform Colour Space -- 4.7.4 Measuring Colour Difference -- 4.8 Surface Colours within the LUV Colour Space -- 4.8.1 The Shape of the LUV Colour Space -- 4.8.2 Optimal Colours -- 4.8.3 The Number of Perceivable Colours -- 4.8.4 Relating Real Surface Colours to the LUV Colour Space -- 4.8.5 Reconciling the LUV Colour Space and the Munsell Book of Colour -- 4.9 Limitations of the LUV Colour Space as an Accurate Colour Appearance Model -- 4.9.1 The L*,a*,b* Colour Space -- 4.9.2 The CIEDE2000 Colour Difference Equation -- 5 Colour Measurement and Perception -- 5.1 Chromatic Adaptation -- 5.2 Metermerism -- 5.2.1 An Index of Metamerism -- 5.3 Quantifying Chromatic Adaptation -- 6 Generating Coloured Light -- 6.1 Introduction -- 6.2 The Physics of Light Generation. 6.3 Incandescence: Light from Heat - Blackbody or Planckian Radiation -- 6.4 Colour Temperature -- 6.4.1 Correlated Colour Temperature -- 6.5 Luminescence -- 6.6 Electroluminescence -- 6.6.1 Cathodoluminescence -- 6.6.2 Solid State Electroluminescence -- 6.7 Fluorescence -- 6.7.1 Display Device Phosphors -- 6.7.2 Lamp Phosphors -- Part 3 The Concepts of Colour Reproduction -- Introduction -- 7 Sources of Illumination -- 7.1 Overview -- 7.2 Illuminant Colour Rendering Quality -- 7.2.1 The CIE CRI -- 7.2.2 The MCC Index -- 7.3 Daylight -- 7.3.1 CIE Standard Daylight Illumination -- 7.4 Incandescent-based Lamps -- 7.4.1 Tungsten Halogen Lamps -- 7.4.2 Accommodating the Difference in Colour Temperature between Daylight and Tungsten-based Lamps -- 7.5 Electrical Discharge-based Lamps -- 7.5.1 Xenon Discharge Lamps -- 7.5.2 High-pressure Vapour Discharge Lamps -- 7.5.3 Low-pressure Vapour Discharge Lamps - Fluorescent Lamps -- 7.6 LED Lamps -- 7.7 Summary of Sources of Illumination -- 8 The Essential Elements of Colour Reproduction -- 8.1 The Basic Reproduction System -- 8.1.1 The Technological Approach to Colour Reproduction -- 8.2 The Camera -- 8.2.1 Camera Optical Colour Analysis -- 8.3 Display Devices -- 8.3.1 Light Generation and Modulation in Display Devices -- 8.4 Reconciling Minimum Image Resolution with Maximum Perceivable Resolution -- 9 Colorimetry in Colour Reproduction -- 9.1 The Relationship between the Display Primaries and the Camera Spectral Sensitivities -- 9.2 The Choice of Reproduction Display Primaries -- 9.3 Derivation of Colour Reproduction System Camera Spectral Sensitivities -- 10 Appraising the Reproduced Image -- 10.1 Introduction -- 10.2 The Environmental Lighting -- 10.2.1 Intensity of Environmental Lighting -- 10.2.2 Colour Temperature of Environmental Lighting -- 10.3 Reflections from the Display -- 10.4 Image Size. 10.5 Managing the Viewing Environment -- 10.6 System Design Parameters -- Part 4 The Fundamentals of Colour Reproduction -- Introduction -- 11 System White and White Balance -- 11.1 System Reference White -- 11.2 White Balance -- 11.2.1 Manual White Balance -- 11.2.2 Automatic White Balance -- 11.3 Adapting to Scenes with Different Illuminant SPDs -- 12 Colorimetric Processing -- 12.1 Introduction -- 12.2 Manipulating the Colour Space - Chromaticity Gamut Transformation -- 12.2.1 The Requirement to Change the Chromaticity Gamut -- 12.2.2 Deriving a Matrix for Gamut transformation -- 12.3 Gamut Mapping -- 12.4 A Colorimetrically Ideal Set of Camera Spectral Sensitivities -- 12.4.1 The CIE XYZ Primaries Approach -- 12.4.2 Primaries Derived from a 'Symmetrical' Approach to the u,v Chromaticity Diagram -- 12.4.3 Primaries Derived from a 'Single External Area' Approach to the u,v Chromaticity Diagram -- 12.4.4 General Considerations -- 12.5 An Ideal Media Neutral Colour Reproduction System -- 12.6 Using System Primaries or Device-Independent Encoding -- 13 Preserving Tonal Relationships - Tone Reproduction and Contrast Laws -- 13.1 Introduction -- 13.2 Terms and Definitions -- 13.2.1 Non-Linear Transfer Characteristics and Contrast Laws -- 13.2.2 Nomenclature -- 13.2.3 Characteristics of the Power Law Functions -- 13.3 Contrast Ranges -- 13.3.1 Contrast Range of the Scene -- 13.3.2 Contrast Range of the Display -- 13.3.3 Perception of Contrast - Contrast Relationships in the Eye -- 13.3.4 Threshold of Perceptibility -- 13.3.5 Displayed and Perceived Contrast Range -- 13.4 Gamma Correction -- 13.4.1 The Requirement for Gamma Correction -- 13.4.2 The Practicalities of Gamma Correction -- 13.4.3 The Solution to Limiting the Gain of the Gamma Correction Function -- 13.4.4 Specifying the Gamma Correction Parameters for a Colour Reproduction System. 13.4.5 Appraising the Performance of the Combined Gamma Correction Characteristic -- 13.4.6 Specifying the Transfer Characteristic of the Source in a Media System -- 13.5 Standard or Reference Displays -- 13.6 Masking Artefacts -- 13.6.1 Source Noise -- 13.6.2 Determining the Location of Gamma Correction in the System Path -- 13.6.3 Digital Contouring and Perceptible Uniform Coding -- 13.7 Matching the Contrast Law to the Viewing Environment -- 13.7.1 Enhanced Contrast Law Reproduction -- 13.8 Overall Opto-electro Transfer Characteristics in Actual Reproduction Systems -- 13.9 Producing a Greyscale Test Chart -- 13.9.1 An Exercise in Comprehending Perceived Contrast Range -- 13.9.2 The Structure of the Greyscale Chart -- 13.9.3 The Basic Procedure -- 13.9.4 Conditions for Viewing the Grey Scale -- 13.9.5 Some Initial Considerations -- 13.9.6 Matching the Greyscale Lightness Values to the Signal Code Values -- 13.9.7 Appraisal of the Charts -- 13.9.8 Implications for Bit Depth Requirements -- 14 Storage and Conveyance of Colour Signals - Encoding Colour Signals -- 14.1 Introduction -- 14.2 The Imperatives for Encoding RGB Colour Signals -- 14.2.1 Retaining Colour Balance -- 14.2.2 Ensuring Compatibility with Monochrome Systems -- 14.2.3 Improving the Efficiency of the Colour Signals -- 14.3 System Compatibility and Retention of Colour Balance -- 14.3.1 The Luminance Signal -- 14.3.2 The Complementary Colour Difference Signals -- 14.4 A Simple Constant Luminance Encoding System -- 14.5 Exploiting the Spatial Characteristics of the Eye -- 14.6 A Practical Constant Luminance System -- 14.6.1 A Constant Luminance Camera -- 14.6.2 A Constant Luminance Display -- 14.7 A Non-Constant Luminance System -- 14.7.1 A Non-Constant Luminance Camera Encoder -- 14.7.2 A Non-Constant Luminance Display Decoder. 14.8 The Ramifications of the Failure of Constant Luminance. EBL201708 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4179326 ebook n 201732 201708 21 PUBLIC BOOK DELETED 2279251 SzGeCERN 20210421210640.0 9781118999400 electronic version electronic version 9781118999400 print version 9781118999417 electronic version electronic version oai:cds.cern.ch:2279251 cerncds:BOOK EBL 4040424 eng TA168 -- .S872 2015eb 621.381 Wiley INCOSE systems engineering handbook a guide for system life cycle processes and activities 4th ed. New York, NY John Wiley & Sons 2015 305 p ebook Title Page -- Copyright Page -- Contents -- INCOSE Notices -- History of Changes -- Preface -- List of Figures -- List of Tables -- Chapter 1 Systems Engineering Handbook Scope -- 1.1 Purpose -- 1.2 Application -- 1.3 Contents -- 1.4 Format -- 1.5 Definitions of Frequently Used Terms -- Chapter 2 Systems Engineering Overview -- 2.1 Introduction -- 2.2 Definitions and Concepts of a System -- 2.2.1 General System Concepts -- 2.2.2 Scientific Terminology Related to System Concepts -- 2.2.3 General Systems Methodologies -- 2.3 The Hierarchy within a System -- 2.4 Definition of Systems of Systems -- 2.5 Enabling Systems -- 2.6 Definition of Systems Engineering -- 2.7 Origins and Evolution of Systems Engineering -- 2.8 Use and Value of Systems Engineering -- 2.8.1 SE Effectiveness -- 2.8.2 SE ROI -- 2.9 Systems Science and Systems Thinking -- 2.9.1 Systems Science -- 2.9.2 Systems Thinking -- 2.9.3 Considerations for Systems Engineers -- 2.10 Systems Engineering Leadership -- 2.11 Systems Engineering Professional Development -- 2.11.1 SE Professional Ethics -- 2.11.2 Professional Certification -- Chapter 3 Generic Life Cycle Stages -- 3.1 Introduction -- 3.2 Life Cycle Characteristics -- 3.2.1 Three Aspects of the Life Cycle -- 3.2.2 Decision Gates -- 3.3 Life Cycle Stages -- 3.3.1 Concept Stage -- 3.3.2 Development Stage -- 3.3.3 Production Stage -- 3.3.4 Utilization Stage -- 3.3.5 Support Stage -- 3.3.6 Retirement Stage -- 3.4 Life Cycle Approaches -- 3.4.1 Iteration and Recursion -- 3.4.2 Sequential Methods -- 3.4.3 Incremental and Iterative Methods -- 3.5 What Is Best for Your Organization, Project, or Team? -- 3.6 Introduction to Case Studies -- 3.6.1 Case 1: Radiation Therapy-The Therac-25 -- 3.6.2 Case 2: Joining Two Countries-The Øresund Bridge -- 3.6.3 Case 3: Prototype System-The Superhigh-Speed Train in China. 3.6.4 Case 4: Cybersecurity Considerations in Systems Engineering-The Stuxnet Attack on a Cyber-Physical System -- 3.6.5 Case 5: Design for Maintainability-Incubators -- Chapter 4 Technical Processes -- 4.1 Business or Mission Analysis Process -- 4.1.1 Overview -- 4.1.2 Elaboration -- 4.2 Stakeholder Needs and Requirements Definition Process -- 4.2.1 Overview -- 4.2.2 Elaboration -- 4.3 System Requirements Definition Process -- 4.3.1 Overview -- 4.3.2 Elaboration -- 4.4 Architecture Definition Process -- 4.4.1 Overview -- 4.4.2 Elaboration -- 4.5 Design Definition Process -- 4.5.1 Overview -- 4.5.2 Elaboration -- 4.6 System Analysis Process -- 4.6.1 Overview -- 4.6.2 Elaboration -- 4.7 Implementation Process -- 4.7.1 Overview -- 4.7.2 Elaboration -- 4.8 Integration Process -- 4.8.1 Overview -- 4.8.2 Elaboration -- 4.9 Verification Process -- 4.9.1 Overview -- 4.9.2 Elaboration -- 4.10 Transition Process -- 4.10.1 Overview -- 4.11 Validation Process -- 4.11.1 Overview -- 4.11.2 Elaboration -- 4.12 Operation Process -- 4.12.1 Overview -- 4.12.2 Elaboration -- 4.13 Maintenance Process -- 4.13.1 Overview -- 4.13.2 Elaboration -- 4.14 Disposal Process -- 4.14.1 Overview -- Chapter 5 Technical Management Processes -- 5.1 Project Planning Process -- 5.1.1 Overview -- 5.1.2 Elaboration -- 5.2 Project Assessment and Control Process -- 5.2.1 Overview -- 5.3 Decision Management Process -- 5.3.1 Overview -- 5.3.2 Elaboration -- 5.4 Risk Management Process -- 5.4.1 Overview -- 5.4.2 Elaboration -- 5.5 Configuration Management Process -- 5.5.1 Overview -- 5.5.2 Elaboration -- 5.6 Information Management Process -- 5.6.1 Overview -- 5.6.2 Elaboration -- 5.7 Measurement Process -- 5.7.1 Overview -- 5.7.2 Elaboration -- 5.8 Quality Assurance Process -- 5.8.1 Overview -- 5.8.2 Elaboration -- Chapter 6 Agreement Processes -- 6.1 Acquisition Process -- 6.1.1 Overview. 6.2 Supply Process -- 6.2.1 Overview -- Chapter 7 Organizational Project-Enabling Processes -- 7.1 Life Cycle Model Management Process -- 7.1.1 Overview -- 7.1.2 Elaboration -- 7.2 Infrastructure Management Process -- 7.2.1 Overview -- 7.2.2 Elaboration -- 7.3 Portfolio Management Process -- 7.3.1 Overview -- 7.3.2 Elaboration -- 7.4 Human Resource Management Process -- 7.4.1 Overview -- 7.4.2 Elaboration -- 7.5 Quality Management Process -- 7.5.1 Overview -- 7.5.2 Elaboration -- 7.6 Knowledge Management Process -- 7.6.1 Overview -- 7.6.2 Elaboration -- Chapter 8 Tailoring process and Application of Systems Engineering -- 8.1 Tailoring Process -- 8.1.1 Overview -- 8.1.2 Elaboration -- 8.2 Tailoring for Specific Product Sector or Domain Application -- 8.2.1 Automotive Systems -- 8.2.2 Biomedical and Healthcare Systems -- 8.2.3 Defense and Aerospace Systems -- 8.2.4 Infrastructure Systems -- 8.2.5 Space Systems -- 8.2.6 (Ground) Transportation Systems -- 8.3 Application of Systems Engineering for Product Line Management -- 8.3.1 Product Line Scoping -- 8.4 Application of Systems Engineering for Services -- 8.4.1 Fundamentals of Service -- 8.4.2 Properties of Services -- 8.4.3 Scope of Service SE -- 8.4.4 Value of Service SE -- 8.5 Application of Systems Engineering for Enterprises -- 8.5.1 Enterprise -- 8.5.2 Creating Value -- 8.5.3 Capabilities in the Enterprise -- 8.5.4 Enterprise Transformation -- 8.6 Application of Systems Engineering for Very Small and Micro Enterprises -- Chapter 9 Cross-Cutting Systems Engineering Methods -- 9.1 Modeling and Simulation -- 9.1.1 Models versus Simulations -- 9.1.2 Purpose of Modeling -- 9.1.3 Model Scope -- 9.1.4 Types of Models and Simulations -- 9.1.5 Developing Models and Simulations -- 9.1.6 Model and Simulation Integration -- 9.1.7 Model Management -- 9.1.8 Modeling Standards -- 9.1.9 Modeling Languages. 9.1.10 Modeling and Simulation Tools -- 9.1.11 Indicators of Model Quality -- 9.1.12 Model and Simulation-Based Metrics -- 9.2 Model-Based Systems Engineering -- 9.2.1 MBSE Overview -- 9.3 Functions-Based Systems Engineering Method -- 9.3.1 Introduction -- 9.3.2 FBSE Tools -- 9.3.3 FBSE Measures -- 9.4 Object-Oriented Systems Engineering Method -- 9.4.1 Introduction -- 9.4.2 Method Overview -- 9.4.3 Applying OOSEM -- 9.5 Prototyping -- 9.6 Interface Management -- 9.6.1 Interface Analysis Methods -- 9.7 Integrated Product and Process Development -- 9.7.1 IPDT Overview -- 9.7.2 IPDT Process -- 9.7.3 Potential IPDT Pitfalls -- 9.8 Lean Systems Engineering -- 9.8.1 Value -- 9.8.2 Waste in Product Development -- 9.8.3 Lean Principles -- 9.9 Agile Systems Engineering -- 9.9.1 Agile SE Framework -- 9.9.2 Agile Metric Framework -- 9.9.3 Agile Architectural Framework -- 9.9.4 Agile Architectural Design Principles -- Chapter 10 Specialty Engineering Activities -- 10.1 Affordability/Cost-Effectiveness/ Life Cycle Cost Analysis -- 10.1.1 Affordability Concepts -- 10.1.2 Cost-Effectiveness Analysis -- 10.1.3 LCC Analysis -- 10.2 Electromagnetic Compatibility -- 10.3 Environmental Engineering/Impact Analysis -- 10.4 Interoperability Analysis -- 10.5 Logistics Engineering -- 10.5.1 Support Elements -- 10.5.2 Supportability Analysis -- 10.6 Manufacturing and Producibility Analysis -- 10.7 Mass Properties Engineering -- 10.8 Reliability, Availability, and Maintainability -- 10.8.1 Reliability -- 10.8.2 Availability -- 10.8.3 Maintainability -- 10.8.4 Relationship with Other Engineering Disciplines -- 10.9 Resilience Engineering -- 10.9.1 Introduction -- 10.9.2 Description -- 10.10 System Safety Engineering -- 10.10.1 The Role of SE in System Safety -- 10.10.2 Identify and Integrate System Safety Requirements -- 10.10.3 Identify, Analyze, and Categorize Hazards. 10.10.4 Verify and Validate System Safety Requirements -- 10.10.5 Assess Safety Risk -- 10.10.6 Summary -- 10.11 System Security Engineering -- 10.11.1 Systems Engineer and System Security Engineer Roles and Responsibilities -- 10.11.2 System Security Engineering Activities for Requirements -- 10.11.3 System Security Engineering for Architecture Definition and Design Definition -- 10.11.4 System Security Engineering Activities for Verification and Validation -- 10.11.5 System Security Engineering Activities for Maintenance and Disposal -- 10.11.6 System Security Engineering Activities for Risk Management -- 10.11.7 System Security Engineering Activities for Configuration and Information Management -- 10.11.8 System Security Engineering Activities for Acquisition and Supply -- 10.12 Training Needs Analysis -- 10.13 Usability Analysis/Human Systems Integration -- 10.13.1 HSI Is Integral to the SE Process -- 10.13.2 Technical and Management HSI Processes -- 10.14 Value Engineering -- 10.14.1 Systems Engineering Applicability -- 10.14.2 VE Job Plan -- 10.14.3 FAST Diagram -- 10.14.4 VE Certification -- 10.14.5 Conclusion -- Appendix A: References -- Appendix B: Acronyms -- Appendix C: Terms and Definitions -- Appendix D: N2 Diagram of Systems Engineering Processes -- Appendix E: Input/Output Descriptions -- Appendix F: Acknowledgments -- SEH V4 Contributions -- Appendix G: Comment Form -- Index -- EULA. EBL201708 Engineering SzGeCERN BOOK INCOSE https://cds.cern.ch/auth.py?r=EBLIB_P_4040424 ebook n 201732 201708 21 PUBLIC https://catalogue.library.cern/legacy/2279251 BOOK MIGRATED 2279247 SzGeCERN 20171013220704.0 9781118514603 electronic version 9781118514573 electronic version EBL 4035986 eng QD478 -- .P59 2015eb 537.622 Pizzini, Sergio Physical chemistry of semiconductor materials and processes New York, NY John Wiley & Sons 2015 416 p Cover -- Title Page -- Copyright -- Contents -- Preface -- Chapter 1 Thermodynamics of Homogeneous and Heterogeneous Semiconductor Systems -- 1.1 Introduction -- 1.2 Basic Principles -- 1.3 Phases and Their Properties -- 1.3.1 Structural Order of a Phase -- 1.4 Equations of State of Thermodynamic Systems -- 1.4.1 Thermodynamic Transformations and Functions of State -- 1.4.2 Work Associated with a Transformation, Entropy and Free Energy -- 1.4.3 Chemical Potentials -- 1.4.4 Free Energy and Entropy of Spontaneous Processes -- 1.4.5 Effect of Pressure on Phase Transformations, Polymorphs/Polytypes Formation and Their Thermodynamic Stability -- 1.4.6 Electrochemical Equilibria and Electrochemical Potentials of Charged Species -- 1.5 Equilibrium Conditions of Multicomponent Systems Which Do Not React Chemically -- 1.6 Thermodynamic Modelling of Binary Phase Diagrams -- 1.6.1 Introductory Remarks -- 1.6.2 Thermodynamic Modelling of Complete and Incomplete Miscibility -- 1.6.3 Thermodynamic Modelling of Intermediate Compound Formation -- 1.6.4 Retrograde Solubility, Retrograde Melting and Spinodal Decomposition -- 1.7 Solution Thermodynamics and Structural and Physical Properties of Selected Semiconductor Systems -- 1.7.1 Introductory Remarks -- 1.7.2 Au-Ag and Au-Cu Alloys -- 1.7.3 Silicon and Germanium -- 1.7.4 Silicon-Germanium Alloys -- 1.7.5 Silicon- and Germanium-Binary Alloys with Group III and Group IV Elements -- 1.7.6 Silicon-Tin and Germanium-Tin Alloys -- 1.7.7 Carbon and Its Polymorphs -- 1.7.8 Silicon Carbide -- 1.7.9 Selenium-Tellurium Alloys -- 1.7.10 Binary and Pseudo-binary Selenides and Tellurides -- 1.7.11 Arsenides, Phosphides and Nitrides -- 1.8 Size-Dependent Properties, Quantum Size Effects and Thermodynamics of Nanomaterials -- Appendix. Use of Electrochemical Measurements for the Determination of the Thermodynamic Functions of Semiconductors -- References -- Chapter 2 Point Defects in Semiconductors -- 2.1 Introduction -- 2.2 Point Defects in Ionic Solids: Modelling the Electrical Conductivity of Ionic Solids by Point Defects-Mediated Charge Transfer -- 2.3 Point Defects and Impurities in Elemental Semiconductors -- 2.3.1 Introduction -- 2.3.2 Vacancies and Self-Interstitials in Semiconductors with the Diamond Structure: an Attempt at a Critical Discussion of Their Thermodynamic and Transport Properties -- 2.3.3 Effect of Defect-Defect Interactions on Diffusivity: Trap-and-Pairing Limited Diffusion Processes -- 2.3.4 Light Impurities in Group IV Semiconductors: Hydrogen, Carbon, Nitrogen, Oxygen and Their Reactivity -- 2.4 Defects and Non-Stoichiometry in Compound Semiconductors -- 2.4.1 Structural and Thermodynamic Properties -- 2.4.2 Defect Identification in Compound Semiconductors -- 2.4.3 Non-Stoichiometry in Compound Semiconductors -- References -- Chapter 3 Extended Defects in Semiconductors and Their Interactions with Point Defects and Impurities -- 3.1 Introduction -- 3.2 Dislocations in Semiconductors with the Diamond Structure -- 3.2.1 Geometrical Properties -- 3.2.2 Energy of Regular Straight Dislocations -- 3.2.3 Dislocation Motion -- 3.2.4 Dislocation Reconstruction -- 3.2.5 Electronic Structure of Dislocations in Si and Ge, Theoretical Studies and Experimental Evidences -- 3.3 Dislocations in Compound Semiconductors -- 3.3.1 Electronic Structure of Dislocations in Compound Semiconductors -- 3.4 Interaction of Defects and Impurities with Extended Defects -- 3.4.1 Introduction -- 3.4.2 Thermodynamics of Defect Interactions with Extended Defects -- 3.4.3 Thermodynamics of Interaction of Neutral Defects and Impurities with EDs. 3.4.4 Kinetics of Interaction of Point Defects, Impurities and Extended Defects: General Concepts -- 3.4.5 Kinetics of Interaction Reactions: Reaction Limited Processes -- 3.4.6 Kinetics of Interaction Reactions: Diffusion-Limited Reactions -- 3.5 Interaction of Atomic Defects with Extended Defects: Theoretical and Experimental Evidence -- 3.5.1 Interaction of Point Defects with Extended Defects -- 3.5.2 Hydrogen-Dislocation Interaction in Silicon -- 3.5.3 Interaction of Oxygen with Dislocations -- 3.6 Segregation of Impurities at Surfaces and Interfaces -- 3.6.1 Introduction -- 3.6.2 Grain Boundaries in Polycrystalline Semiconductors -- 3.6.3 Structure of Grain Boundaries and Their Physical Properties -- 3.6.4 Segregation of Impurities at Grain Boundaries and Their Influence on Physical Properties -- 3.7 3D Defects: Precipitates, Bubbles and Voids -- 3.7.1 Thermodynamic and Structural Considerations -- 3.7.2 Oxygen and Carbon Segregation in Silicon -- 3.7.3 Silicides Precipitation -- 3.7.4 Bubbles and Voids -- References -- Chapter 4 Growth of Semiconductor Materials -- 4.1 Introduction -- 4.2 Growth of Bulk Solids by Liquid Crystallization -- 4.2.1 Growth of Single Crystal and Multicrystalline Ingots by Liquid Phase Crystallization -- 4.2.2 Growth of Single Crystals or Multicrystalline Materials by Liquid Crystallization Processes: Impact of Environmental Interactions on the Chemical Quality -- 4.2.3 Growth of Bulk Solids by Liquid Crystallization Processes: Solubility of Impurities in Semiconductors and Their Segregation -- 4.2.4 Growth of Bulk Solids by Liquid Crystallization Processes: Pick-Up of Impurities -- 4.2.5 Constitutional Supercooling -- 4.2.6 Growth Dependence of the Impurity Pick-Up and Concentration Profiling -- 4.2.7 Purification of Silicon by Smelting with Al. 4.3 Growth of Ge-Si Alloys, SiC, GaN, GaAs, InP and CdZnTe from the Liquid Phase -- 4.3.1 Growth of Si-Ge Alloys -- 4.3.2 Growth of SiC from the Liquid Phase -- 4.3.3 Growth of GaN from the Liquid Phase -- 4.3.4 Growth of GaAs, InP, ZnSe and CdZnTe -- 4.4 Single Crystal Growth from the Vapour Phase -- 4.4.1 Generalities -- 4.4.2 Growth of Silicon, ZnSe and Silicon Carbide from the Vapour Phase -- 4.4.3 Epitaxial Growth of Single Crystalline Layers of Elemental and Compound Semiconductors -- 4.5 Growth of Poly/Micro/Nano-Crystalline Thin Film Materials -- 4.5.1 Introduction -- 4.5.2 Growth of Nanocrystalline/Microcrystalline Silicon -- 4.5.3 Growth of Silicon Nanowires -- 4.5.4 Growth of Films of CdTe and of Copper Indium (Gallium) Selenide (CIGS) -- References -- Chapter 5 Physical Chemistry of Semiconductor Materials Processing -- 5.1 Introduction -- 5.2 Thermal Annealing Processes -- 5.2.1 Thermal Decomposition of Non-stoichiometric Amorphous Phases for Nanofabrication Processes -- 5.2.2 Other Problems of a Thermodynamic or Kinetic Nature -- 5.3 Hydrogen Passivation Processes -- 5.4 Gettering and Defect Engineering -- 5.4.1 Introduction -- 5.4.2 Thermodynamics of Gettering -- 5.4.3 Physics and Chemistry of Internal Gettering -- 5.4.4 Physics and Chemistry of External Gettering -- 5.5 Wafer Bonding -- References -- Index -- EULA. 9781118514573 print version oai:cds.cern.ch:2279247 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4035986 ebook ebook EBL201708 Other Fields of Physics SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2279203 SzGeCERN 20180320200707.0 9781611226003 electronic version 9781611221947 electronic version EBL 3018662 eng TJ762.F84 -- F84 2011eb 621.43 Bernard, Jason K Fuel efficiency Hauppauge Nova Science Publishers 2014 197 p Energy science, engineering and technology FUEL EFFICIENCY -- FUEL EFFICIENCY -- CONTENTS -- PREFACE -- Chapter 1 EVALUATION OF A CO2-CAPTURING HIGH-EFFICIENCY POWER GENERATION SYSTEM FOR UTILIZING EXHAUST GAS FROM IRONWORKS -- ABSTRACT -- 1. INTRODUCTION -- 2. OUTLINE OF THE SYSTEMS -- 2.1. Outline of an Exhaust Gas from Ironworks -- 2.2. Outline of a Conventional Steam Turbine System -- 2.3. Outline of the Proposed System -- 3. EVALUATION OF THERMODYNAMIC CHARACTERISTICS -- 3.1. Premises -- 3.2. Estimated Characteristics of the STPS -- 3.3. Estimated Characteristics of the Proposed System -- 3.4. Discussions on the Estimated Thermodynamic Characteristics of STPS and PCPS -- 4. ESTIMATED ECONOMICS AND CO2-REDUCTION CHARACTERISTICS -- 4.1. Premises for Evaluating Economics and CO2- Reduction Characteristics -- 4.2. Discussions on the Results Estimated for the STPS -- 4.3. Discussions on the Results Estimated for the PCPS -- 4.4. Discussion on Economical Effects of CO2-Capture of the Proposed System -- 4.5. Effects of Raising Turbine Inlet Temperature of the PCPS -- 5. CONCLUSIONS -- NOMENCLATURE -- ACKNOWLEDGMENTS -- REFERENCES -- APPENDIX: BRIEF EXPLANATION OF SIMULATION MODELS -- Chapter 2 RESOURCE EFFICIENCY AS A DRIVER OF GROWTH: THE CASE OF JAPAN -- ABSTRACT -- 1. INTRODUCTION -- 2. ECONOMIC AND SOCIO-METABOLIC TRANSITIONS -- 2.1. Managed Decline: Coal -- 2.2. Long Term Support Despite an Uncertain Future: Iron and Steel -- 2.3. Rational use of Liquid Fuels: Petroleum -- 2.4. Electrification -- 2.5. Leadership, Vision, Coordination and Negotiation: MITI -- 2.6. Efficiency and Technology Substitution: The Fifth and Sixth Fuels -- 3. VIRTUOUS CYCLES DRIVING ECONOMIC GROWTH -- 4. CONCLUSIONS: LESSONS FROM THE PAST AND RECOMMENDATIONS FOR THE FUTURE -- REFERENCES -- Chapter 3 IMPROVING FUEL EFFICIENCY OF COMPRESSION IGNITION ENGINES FUELLED WITH VEGETABLE OIL. EXTENDED ABSTRACT -- INTRODUCTION -- PHYSICO-CHEMICAL PROPERTIES OF HONGE OIL -- Chemical Composition -- Destructive Distillation of Wood Yields, on a Dry Basis: -- USE OF ETHANOL AND DEE IN DIESEL ENGINES -- Ethanol -- Diethyl Ether (DEE) -- FUEL PROPERTIES -- EXPERIMENTAL SET UP -- RESULTS AND DISCUSSIONS -- CASE 1.0: STUDIES ON RAW HONGE OIL AND ITS BIODIESEL HOME -- Brake Thermal Efficiency -- Exhaust Gas Temperature -- EMISSION CHARACTERISTICS -- Smoke Opacity -- Unburned Hydrocarbon (HC) and Carbon Monoxide (CO) Emissions -- Untitled -- CASE 2: EXPERIMENTAL INVESTIGATIONS ON THE UTILIZATION OF HOME, HOME AND ETHANOL BLENDS -- Home - Ethanol Blends -- Brake Thermal Efficiency -- Emission Characteristics -- Smoke Opacity -- Unburned Hydrocarbon (HC) Emissions -- Carbon Monoxide (CO) Emissions -- Nitrogen Oxides (NOx) Emissions -- CASE 3: EXPERIMENTAL INVESTIGATIONS ON THE UTILIZATION OF HOME, HOME AND DEE BLENDS -- Brake Thermal Efficiency -- Smoke Emission -- HC/ CO Emissions -- NO Emissions -- CONCLUSIONS -- Case 1: Honge Oil and Honge Oil Methyl Ester -- Case 2: Honge Oil Methyl Ester and its Blends With Ethanol -- Case 3: Honge Oil Methyl Ester and its Blends with Diethyl Ether -- REFERENCES -- Chapter 4 AIR INFILTRATION EFFECTS ON INDUSTRIAL COMBUSTION EFFICIENCY -- ABSTRACT -- INTRODUCTION -- PROBLEMS WITH LEAKS -- Reduced Thermal Efficiency -- Increased NOx Emissions -- Poor Burner Performance -- Product Contamination -- After-Burning -- Increased Metal Oxidation and Stress -- Other Problems -- LEAK SOURCES/CAUSES -- Leaky Combustors -- Improperly Sealed Openings -- Batch Processes -- Burners-Out-of-Service -- Improper Operation -- LEAK SIZE AND LOCATION -- FINDING LEAKS -- MITIGATING LEAKS -- CONCLUSION -- RECOMMENDATION -- REFERENCES -- Chapter 5 MICROALGAE - A SECOND GENERATION BIOFUEL -- ABSTRACT -- 1. INTRODUCTION. 2. MICROALGAE- AN OVERVIEW -- 2.1. Composition of Micro Algae -- 2.2. Oil Content of Various Oil Crops V/S Microalgae -- 3. MICROALGAL BIODIESEL PRODUCTION TECHNOLOGY -- 3.1. Cultivation of Microalgae -- 3.1.1. Raceways -- 3.1.2. Photobioreactors -- 3.2. Harvesting and Processing of Bio-Oil from Microbial Biomass -- 3.2.1. Harvesting of Microalgal Biomass -- 3.2.2. Liquefaction -- 3.2.3. Pyrolysis -- 3.3. Transesterification Process (Biodiesel Production) -- 4. MICROALGAE BIODIESEL QUALITY ISSUES -- 5. ENVIRONMENTAL BENEFITS OF MICROALGAE AND ITS CULTIVATION -- 6. ECONOMICS OF MICROALGAE BIODIESEL -- 6. CONCLUSION -- REFERENCES -- Chapter 6 POLICIES, MEASURES AND MANAGEMENT STRATEGIES INFLUENCING ENERGY EFFICIENCY IN THE MANUFACTURING INDUSTRY'S EVIDENCE FROM GERMANY AND COLOMBIA -- ABSTRACT -- 1. INTRODUCTION -- 2. DATA AND METHODOLOGY -- 2.1. Data -- 2.2. Methodology -- 3. GERMAN AND COLOMBIAN MANUFACTURING INDUSTRIES TRENDS AND DEVELOPMENTS -- 3.1. Brief Description of Energy Policy in German and Colombian Manufacturing Industries -- 3.2. Trends in Energy Consumption and Energy Efficiency in German and Colombian Manufacturing Industries -- 3.2.1 Energy Intensity -- 3.2.2. Energy Productivity -- 3.2.2. CO2 Emissions Intensity -- 4. DISCUSSION OF RESULTS -- 4.1. Recommendation for the Formulation of Energy Policies -- 5. CONCLUSIONS -- REFERENCES -- INDEX. 9781611221947 print version oai:cds.cern.ch:2279203 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3018662 ebook ebook EBL Energy consumption EBL Factories -- Energy conservation EBL Fuel switching EBL201708 Engineering SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2279201 SzGeCERN 20210421210643.0 9780128035092 electronic version electronic version 9780128035092 print version 9780128035566 electronic version electronic version oai:cds.cern.ch:2279201 cerncds:BOOK EBL 2146999 eng GA102.2 .C384 2015 526 Casti, Emanuela Reflexive cartography a new perspective in mapping [S.l.] Elsevier Science 2015 289 p ebook Modern cartography 6 Front Cover -- Reflexive Cartography -- Copyright -- Contents -- Preface -- Introduction: Cartography's Building Site -- Acknowledgments -- PART-1 -- Chapter 1 - Cartographic Interpretation Between Continuity and Renewal: On the Trail of Chora -- SOCIETY AND CARTOGRAPHY -- THE ROLE OF THEORY IN CARTOGRAPHIC INTERPRETATION -- THE OBJECT-BASED PERSPECTIVE -- THE DECONSTRUCTIVIST PERSPECTIVE -- THE HERMENEUTIC PERSPECTIVE -- FROM TOPOS TO CHORA -- Chapter 2 - The Success of Topos in Colonial Cartography: Topographic Metrics -- UNDERSTANDING AND DESCRIBING AFRICA -- IN SEARCH OF TOPOS: TOPOGRAPHIC MAPS -- THE STRENGTHENING OF TOPOS: TAXONOMY AND THEMATISM -- ICONIZATION OF TOPOS: MAPS BETWEEN SCIENCE AND POPULARIZATION -- SEMIOSIS AND TOPOGRAPHIC METRICS -- Chapter 3 - Landscape as a Cartographic Icon -- CONNECTIONS, HYBRIDIZATIONS -- LANDSCAPE AND MAPS -- PERSPECTIVE AND THE SEMIOTICS OF VISION -- ICONIC RESONANCES -- SKETCHING IDEAS, CONVEYING CONCEPTS -- PART-2 -- Chapter 4 - Technology in Action: Participatory Cartographic Systems -- METAMORPHOSIS OF THE CARTOGRAPHIC WORLD -- THE GEOGRAPHIC INFORMATION SYSTEMS FOR PROTECTED AREAS STRATEGY IN W TRANSBOUNDARY BIOSPHERE RESERVE (WEST AFRICA) -- ONLINE CARTOGRAPHY: INTERACTIVITY AND FIRST SEMIOTIC IMPLICATIONS -- Chapter 5 - Chorographic Horizon: Landscape Cartography -- SEMIOSIS AND CHOROGRAPHIC METRICS -- SOCIAL IDENTITIES AND ENVIRONMENTAL PERSPECTIVES: THE ARLY PCU -- PARTICIPATORY LANDSCAPE CARTOGRAPHY -- THE LANDSCAPE-BASED DIMENSION OF ICONS -- Chapter 6 - Coming Full Circle: Towards a Chorography -- CARTOGRAPHIC RENDERING OF SPATIALITY THROUGH THE CENTURIES -- CARTOGRAPHIC SPATIALIZATION OF GLOBALIZATION -- FROM REPRESENTATION TO CHOROGRAPHIC SPATIALITY -- Glossary/Compass -- Concepts and Definitions for Navigating the Text -- Author Index -- Subject Index. Reflexive Cartography addresses the adaptation of cartography, including its digital forms (GIS, WebGIS, PPGIS), to the changing needs of society, and outlines the experimental context aimed at mapping a topological space. Using rigorous scientific analysis based on statement consistency, relevance of the proposals, and model accessibility, it charts the transition from topographical maps created by state agencies to open mapping produced by citizens. Adopting semiotic theory to uncover the complex communicative mechanisms of maps and to investigate their ability to produce their own messages and new perspectives, Reflexive Cartography outlines a shift in our way of conceptualizing maps: from a plastic metaphor of reality, as they are generally considered, to solid tools that play the role of agents, assisting citizens as they think and plan their own living place and make sense of the current world. Applies a range of technologies to theoretical perspectives on mapping to innovatively map the world's geographic diversity Features a multi-disciplinary perspective that weaves together geography, the geosciences, and the social sciences through territorial representation Authored and edited by two of the world's foremost cartographic experts who combine more than 60 years of experience in research and in the classroom Presents more than 60 figures to underscore key concepts. EBL201708 SzGeCERN Astrophysics and Astronomy EBL Cartography -- History EBL Cartography BOOK Taylor, D R F https://cds.cern.ch/auth.py?r=EBLIB_P_2146999 ebook 201708 n 201732 21 PUBLIC https://catalogue.library.cern/legacy/2279201 BOOK MIGRATED 2279200 SzGeCERN 20180515232350.0 9780124172111 electronic version 9780124172036 electronic version EBL 2131146 eng TH7222 621.4021 Dincer, Ibrahim Exergy analysis of heating, refrigerating and air conditioning methods and applications [S.l.] Elsevier Science 2015 402 p Front Cover -- Exergy Analysis of Heating, Refrigerating, and Air Conditioning: Methods and Applications -- Copyright -- Contents -- Acknowledgments -- Preface -- Chapter 1: Exergy and its Ties to the Environment, Economics, and Sustainability -- 1.1. Introduction -- 1.2. Why Exergy? -- 1.3. Importance of Energy to Industry, Culture, and Living Standards -- 1.4. Heating, Refrigeration, and Air Conditioning and Their Energy Use -- 1.5. Benefits of Using Exergy Analysis for Heating, Refrigerating, and Air Conditioning -- 1.6. Energy and Exergy Fundamentals -- 1.6.1. First Law of Thermodynamics -- 1.6.2. Second Law of Thermodynamics -- 1.6.3. Exergy -- 1.6.3.1. Exergy Analysis -- 1.6.3.2. Exergy of a Closed System -- 1.6.3.3. Exergy of Flows -- 1.6.3.3.1. Exergy of a Matter Flow -- 1.6.3.3.2. Exergy of Thermal Energy -- 1.6.3.3.3. Exergy of Work -- 1.6.3.3.4. Exergy of Electricity -- 1.6.3.4. Exergy Consumption -- 1.6.4. Balances -- 1.6.4.1. Conceptual Balances -- 1.6.4.2. Detailed Balances -- 1.6.5. Energy and Exergy Efficiencies -- 1.7. Approaches to Exergy and Other Second Law Analyses -- 1.7.1. Illustrative Example -- 1.7.1.1. First Law Analysis -- 1.7.1.2. Second Law Analysis -- 1.7.2. Implications of Second Law Analysis -- 1.8. Linkages Between Exergy, Economics, the Environment, and Sustainability -- 1.9. Relations Between Exergy and Economics -- 1.10. Relations Between Exergy and Environmental Impact and Ecology -- 1.11. Relations Between Exergy and Sustainability -- 1.12. Closing Remarks -- References -- Chapter 2: Energy and Exergy Assessments -- 2.1. Introduction -- 2.2. Heat Exchangers (Heating/Cooling) -- 2.2.1. Log Mean Temperature Difference Method -- 2.2.2. ε-NTU (Effectiveness Analysis) -- 2.2.3. Efficiencies -- 2.2.4. Illustrative Example -- 2.2.4.1. Results and Discussion -- 2.2.4.2. Parametric Study -- 2.3. Pumps. 2.3.1. Energy Efficiency -- 2.3.2. Exergy Efficiency -- 2.3.3. Illustrative Example -- 2.3.3.1. Results and Discussion -- 2.3.3.2. Parametric Study -- 2.4. Compressors -- 2.4.1. Efficiencies -- 2.4.2. Illustrative Example -- 2.4.2.1. Results and Discussion -- 2.4.2.2. Parametric Study -- 2.5. Fans -- 2.5.1. Efficiencies -- 2.5.2. Illustrative Example -- 2.6. Throttling Valves -- 2.6.1. Functions Performed by Throttling Devices in Refrigeration Systems -- 2.6.2. Types of Throttling Devices -- 2.6.3. Throttle Efficiencies -- 2.6.4. Illustrative Example -- 2.6.4.1. Results and Discussion -- 2.6.4.2. Parametric Study -- 2.7. Turbines -- 2.7.1. Turbine Efficiencies -- 2.7.2. Illustrative Example -- 2.7.2.1. Results and Discussion -- 2.7.2.2. Parametric Study -- 2.8. Energy and Exergy Assessments of Psychrometric Processes -- 2.9. Sensible Cooling (ω1=ω2) -- 2.9.1. Efficiencies -- 2.9.2. Illustrative Example -- 2.9.2.1. Results and Discussion -- 2.9.2.2. Parametric Studies -- 2.10. Sensible Heating (ω1=ω2) -- 2.10.1. Rate Balance Equations -- 2.10.2. Efficiencies -- 2.10.3. Illustrative Example -- 2.10.3.1. Results and Discussion -- 2.10.3.2. Parametric Studies -- 2.11. Heating with Humidification -- 2.11.1. Rate Balance Equations -- 2.11.2. Efficiencies -- 2.11.3. Illustrative Example -- 2.11.3.1. Results and Discussion -- 2.11.3.2. Parametric Studies -- 2.12. Cooling with Dehumidification -- 2.12.1. Rate Balance Equations -- 2.12.2. Efficiencies -- 2.12.3. Illustrative Example -- 2.12.3.1. Results and Discussion -- 2.12.3.2. Parametric Study -- 2.13. Adiabatic Mixing of Air Streams -- 2.13.1. Rate Balance Equations -- 2.13.2. Illustrative Example -- 2.13.2.1. Results and Discussion -- 2.13.2.2. Parametric Study -- 2.14. Evaporative Cooling -- 2.14.1. Rate Balance Equations -- 2.14.2. Efficiencies -- 2.15. Integrated System. 2.15.1. Rate Balance Equations -- 2.15.2. Results and Discussion -- 2.15.2.1. The Results of Exergy Destruction Rates -- 2.15.2.2. Efficiency Results -- 2.15.2.3. Parametric Study -- 2.16. Closing Remarks -- References -- Chapter 3: Industrial Heating and Cooling Systems -- 3.1. Introduction -- 3.2. Industrial Process Heating Temperatures -- 3.3. Renewable Heating and Cooling -- 3.3.1. Solar Energy -- 3.3.2. Geothermal Energy -- 3.4. Requirements and Systems for Low- to Medium-Temperature Industrial Heating and Cooling -- 3.5. Industrial Heat Pumps -- 3.6. Combustion-Based Process Heating -- 3.7. Electric Process Heating -- 3.8. Steam-Based Process Heating Systems -- 3.9. Case Study -- 3.9.1. Analysis -- 3.9.2. Heating Devices -- 3.9.2.1. Burner -- 3.9.2.2. Furnace -- 3.9.2.3. Boiler -- 3.9.2.4. Heat Exchangers -- 3.9.3. Rate Balances Equation for Remainder of System -- 3.9.3.1. Condenser -- 3.9.3.2. Expansion Valve -- 3.9.3.3. Evaporator -- 3.9.3.4. Compressor -- 3.9.3.5. Fan -- 3.10. Results and Discussion -- 3.10.1. Efficiencies and Other Measures of Merit -- 3.10.2. Exergy Destruction Rates -- 3.10.3. Parametric Analysis -- 3.10.3.1. Effect of Ambient Temperature -- 3.10.3.2. Effect of Pressure and Temperature of Condenser -- 3.10.3.3. Effect of Varying Refrigerant and Water Temperature in Heat Pump Cycle -- 3.11. Further Discussion -- 3.12. Closing Remarks -- References -- Chapter 4: Heat Pump Systems -- 4.1. Introduction -- 4.2. Heat Pump Efficiencies -- 4.2.1. Coefficient of Performance -- 4.2.2. Primary Energy Ratio -- 4.2.3. Energy Efficiency Ratio -- 4.2.4. Heating Season Performance Factor -- 4.2.5. Seasonal Energy Efficiency Ratio -- 4.3. Classification of Heat Pump Systems -- 4.3.1. Type of Heat Source -- 4.3.1.1. Air -- 4.3.1.2. Water -- 4.3.1.3. Ground and Geothermal -- 4.3.1.4. Solar -- 4.3.2. Heat Source/Heat Sink Configuration. 4.3.2.1. Water-to-Water Heat Pumps -- 4.3.2.2. Water-to-Air and Air-to-Water Heat Pumps -- 4.3.2.3. Air-to-Air Heat Pumps -- 4.3.2.4. Ground-to-Water and Ground-to-Air Heat Pumps -- 4.4. Assessment of Basic Heat Pump: Energy and Exergy Analyses of Vapor Compression Heat Pump Cycle -- 4.5. Heat Pump Applications -- 4.5.1. Residential Applications -- 4.5.2. Industrial Applications -- 4.6. Case Studies -- 4.6.1. General Assumptions and Simplifications -- 4.6.2. System 1 -- 4.6.3. System 2 -- 4.6.4. System 3 -- 4.6.5. System 4 -- 4.6.6. Overall Comparison of Systems -- 4.7. Closing Remarks -- References -- Chapter 5: Cogeneration, Multigeneration, and Integrated Energy Systems -- 5.1. Introduction -- 5.2. Cogeneration -- 5.2.1. Case Study -- 5.2.1.1. Case1: Fuel Cogeneration vs. Fuel Electricity Generation and Fuel Heating -- 5.2.1.2. Case2: Nuclear Cogeneration vs. Nuclear Electricity Generation and Fuel Heating -- 5.2.1.3. Case3: Fuel Cogeneration vs. Fuel Electricity Generation and Electrical Heating -- 5.2.1.4. Energy and Exergy Efficiencies -- 5.2.1.5. Impact of Cogeneration on Environmental Emissions -- 5.2.1.6. Further Discussion -- 5.3. Trigeneration -- 5.3.1. Case Study -- 5.3.1.1. System Description -- 5.3.1.2. Analysis -- 5.3.1.3. Results and Discussion -- 5.4. Integrated Systems -- 5.4.1. Case Study: Integrated System for HVACR Applications -- 5.4.1.1. Analysis -- 5.4.1.2. Results and Discussion -- 5.5. District Heating and Cooling -- 5.5.1. Case Study: Cogeneration-Based District Energy -- 5.5.1.1. Original System -- 5.5.1.2. Modified System -- 5.5.1.3. Approach and Data -- 5.5.1.4. Preliminary Analysis -- 5.5.1.5. Results -- 5.5.1.6. Discussion -- 5.6. Closing Remarks -- References -- Chapter 6: Heat Storage Systems -- 6.1. Introduction -- 6.2. Performance Considerations in Heat Storage Systems. 6.2.1. Principal Thermodynamic Factors in Heat Storage Systems -- 6.2.2. Energy and Exergy Analyses of Heat Storage Systems -- 6.2.3. Environmental Impacts of Heat Storage Systems -- 6.3. Classification of Heat Storage Systems -- 6.3.1. Storage Duration -- 6.3.2. Temperature Range -- 6.3.3. Storage Capacity -- 6.3.4. Underground Thermal Energy Storage -- 6.4. Heat Storage Systems for Heating Applications -- 6.4.1. Thermodynamic Analysis of Heat Storage Systems for Heating Applications -- 6.4.1.1. Charging Process -- 6.4.1.2. Storing Process -- 6.4.1.3. Discharging Process -- 6.4.1.4. Energy and Exergy Efficiencies -- 6.4.2. Illustrative Example -- 6.4.2.1. Energy Efficiency Comparison -- 6.4.2.1.1. System X -- 6.4.2.1.2. System Y -- 6.4.2.2. Exergy Efficiency Comparison -- 6.4.2.2.1. System X -- 6.4.2.2.2. System Y -- 6.4.3. Case Study of a Macroscale Application: Borehole Storage at UOIT (Canada) -- 6.4.4. Thermodynamic Analysis of ATES -- 6.4.4.1. ATES Model -- 6.4.4.2. Energy and Exergy Analyses -- 6.4.4.2.1. Charging and Discharging -- 6.4.4.2.2. Balances and Efficiencies -- 6.4.4.2.3. Simplifications, Analysis, and Results -- 6.4.4.2.4. Discussion -- 6.5. Heat Storage Systems for Cooling Applications -- 6.5.1. CTES Storage Media Selection and Characteristics -- 6.5.2. Thermodynamic Analysis of Heat Storage Systems for Cooling Applications -- 6.5.2.1. Charging Process -- 6.5.2.2. Storing Process -- 6.5.2.3. Discharging Process -- 6.5.2.4. Energy and Exergy Efficiencies -- 6.5.3. Illustrative Example -- 6.5.3.1. Assumptions and Specified Data -- 6.5.3.2. Results and Discussion -- 6.6. Case Studies -- 6.6.1. Microscale Application: Advanced Heat Storage System through PCMs -- 6.6.2. Anova Verzekering Co. Building (The Netherlands) -- 6.6.3. Kraft General Foods Headquarters Building (Northfield, Illinois). 6.6.4. Chrysler's New Technology Development Center (Auburn Hills, Michigan). Improve and optimize efficiency of HVAC and related energy systems from an exergy perspective. From fundamentals to advanced applications, Exergy Analysis of Heating, Air Conditioning, and Refrigeration provides readers with a clear and concise description of exergy analysis and its many uses. Focusing on the application of exergy methods to the primary technologies for heating, refrigerating, and air conditioning, Ibrahim Dincer and Marc A. Rosen demonstrate exactly how exergy can help improve and optimize efficiency, environmental performance, and cost-effectiveness. The book also discusses the analysis tools available, and includes many comprehensive case studies on current and emerging systems and technologies for real-world examples. From introducing exergy and thermodynamic fundamentals to presenting the use of exergy methods for heating, refrigeration, and air conditioning systems, this book equips any researcher or practicing engineer with the tools needed to learn and master the application of exergy analysis to these systems. Explains the fundamentals of energy/exergy for practitioners/researchers in HVAC&R fields for improving efficiency Covers environmental assessments and economic evaluations for a well-rounded approach to the subject Includes comprehensive case studies on both current and emerging systems/technologies Provides examples from a range of applications - from basic HVAC&R to more diverse processes such as industrial heating/cooling, cogeneration and trigeneration, and thermal storage. Rosen, Marc A 9780124172036 print version oai:cds.cern.ch:2279200 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_2131146 ebook ebook EBL Exergy EBL Heating EBL201708 Engineering SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2279198 SzGeCERN 20200902225545.0 9788132224693 electronic version electronic version 9788132224693 print version 9788132224709 electronic version electronic version oai:cds.cern.ch:2279198 cerncds:BOOK EBL 2120604 eng QD1-999 541.2254 Thakur, Vijay Kumar Eco-friendly polymer nanocomposites processing and properties New Delhi Springer 2015 578 p ebook Advanced structured materials 75 Preface -- Contents -- About the Editors -- 1 Eco-friendly Polymer Nanocomposite---Properties and Processing -- Abstract -- 1 What Is Eco-friendly Polymer Nanocomposite and Why We Need Them? -- 2 Design and Processing of Eco-friendly Polymer Nanocomposites -- 2.1 Challenges -- 2.2 Methods of Design and Processing -- 3 Current Eco-friendly Polymer Nanocomposite (EPN) -- 3.1 EPN with Green Fillers -- 3.2 EPN with Green-Base-Composite -- 3.2.1 EPN from Cellulose -- 3.2.2 EPN from Thermoplastic Starch -- 3.2.3 EPN from Polylactic Acid -- 3.2.4 EPN from Polymer Mixture -- 3.2.5 EPN from Others -- 4 Conclusions -- References -- 2 Biodegradable Starch Nanocomposites -- Abstract -- 1 Introduction -- 2 Starch -- 2.1 Characteristics and Properties -- 2.2 Processing -- 2.2.1 Casting -- 2.2.2 Extrusion -- 3 Starch Nanocomposites -- 3.1 Characteristics and Properties -- 3.2 Processing -- 3.2.1 Casting -- 3.2.2 Extrusion -- 4 Nanocomposites -- 4.1 Starch/Starch -- 4.2 Nanocomposites: Starch/Cellulose -- 4.3 Nanocomposites: Starch/Layer Silicates -- 4.4 Nanocomposites: Starch/Antioxidants and/or Antimicrobials -- 5 Conclusions and Future Perspective -- Acknowledgements -- References -- 3 Nanocomposites of Polyhydroxyalkanoates Reinforced with Carbon Nanotubes: Chemical and Biological Properties -- Abstract -- 1 Introduction -- 2 Polyhydroxyalkanoates -- 2.1 Brief History -- 2.2 Chemical Composition and Properties of Polyhydroxyalkanoates -- 3 Carbon Nanotubes (CNT) -- 3.1 Functionalization of CNT in the Production of Polymer/CNT Nanocomposites -- 3.2 Methods for Producing Polymer/CNT Nanocomposite -- 4 Polyhydroxyalkanoates/Carbon Nanotubes Nanocomposites -- 5 Biodegradation of Polyhydoxyalkanoates -- 6 Conclusions and Future Perspective -- References -- 4 Biodegradable Polymer/Clay Nanocomposites -- Abstract -- 1 Introduction -- 2 Biodegradable Polymers. 3 Layered Silicates -- 4 Dispersion of the Clay Inside the Matrix -- 5 Chemical Treatments of Clays -- 5.1 Purification -- 5.2 Activation -- 5.3 Ion Exchange Reactions -- 5.4 Grafting -- 5.5 Reactions with Biomolecules -- 6 Processing of Biodegradable Clay Nanocomposites -- 7 Conclusions -- Acknowledgments -- References -- 5 Static and Dynamic Mechanical Analysis of Coir Fiber/Montmorillonite Nanoclay-Filled Novolac/Epoxy Hybrid Nanocomposites -- Abstract -- 1 Introduction -- 2 Experimental Details -- 2.1 Materials Used -- 2.2 Preparation of Epoxy Novolac Resin -- 2.3 Preparation of Organically Modified Montmorillonite (OMMT) -- 2.4 Fabrication of Nanocomposite Materials -- 3 Characterization of Nanoclay and Nanocomposites -- 3.1 FTIR Spectroscopy -- 3.2 X-ray Diffraction Analysis -- 3.3 Thermogravimetric Analysis (TGA) -- 3.4 Mechanical Analysis -- 3.5 Dynamic Mechanical Analysis -- 4 Results and Discussion -- 4.1 FTIR Analysis of Montmorillonite Nanoclay -- 4.2 X-ray Diffraction (XRD) Analysis of Montmorillonite Nanofiller -- 4.3 Thermo Gravimetric Analysis of Various Formulated Composites -- 4.4 Mechanical Properties Testing -- 4.5 Dynamic Mechanical Analysis -- 4.5.1 Storage Modulus (E2032) -- 4.5.2 Loss Modulus (E2033) -- 4.5.3 Mechanical Loss Factor (Tan delta ) -- 5 Conclusions and Future Perspectives -- Acknowledgments -- References -- 6 Multifunctionalized Carbon Nanotubes Polymer Composites: Properties and Applications -- Abstract -- 1 Introduction -- 1.1 Polymeric Nanocomposites: Advantages and Limitation -- 2 CNTs: General View -- 2.1 CNTs: Properties -- 2.2 CNTs: Synthesis Process -- 2.3 CNTs: Applications -- 3 CNTs: In Polymeric Composites -- 3.1 CNTs: In Synthetic Polymeric Composites -- 3.1.1 CNTs: In Thermoset Polymeric Composites -- CNTs: In Epoxides Polymeric Composites -- CNTs: In Polyester Polymeric Composites. CNTs: In Polyimides Polymeric Composites -- 3.1.2 CNTs: In Thermoplastic Polymeric Composites -- CNTs: In Polyacrylic/Polymethylacrylic Polymeric Composites -- CNTs: In Polyethylene Polymeric Composites -- CNTs: In Polypropylene Polymeric Composites -- CNTs: In Polystyrene Polymeric Composites -- CNTs: In Polyvinyl Chloride Polymeric Composites -- 3.1.3 CNTs: In Elastomer Polymeric Composites -- CNTs: In Polyisoprene Polymeric Composites -- CNTs: In Polybutadiene Polymeric Composites -- CNTs: In Nitrile Rubber Polymeric Composites -- CNTs: In Silicon Rubber Polymeric Composites -- CNTs: In Polyurethane Polymeric Composites -- 3.2 CNTs: In Biopolymer System -- 3.2.1 CNTs: In Cellulose Polymeric Composites -- 3.2.2 CNTs: In Chitosan Polymeric Composites -- 3.2.3 CNTs: In Collagen Polymeric Composites -- 4 Functionalized CNTs: In Polymeric System -- 4.1 CNTs: Covalent Functionalization -- 4.1.1 CNTs: Carboxylation Functionalization -- 4.1.2 CNTs: Amidation Functionalization -- 4.1.3 CNTs: Halogenation Functionalization -- 4.1.4 CNTs: Acylation Functionalization -- 4.2 CNTs: Noncovalent Functionalization -- 4.2.1 Oxidized Functionalization CNTs -- 4.2.2 Small Molecules Functionalized CNTs -- 4.2.3 Derivatives Functionalized CNTs -- 4.2.4 Polymer Functionalized CNTs -- 5 CNTs/Polymer: Applications -- 5.1 Structural Applications -- 5.2 Medical Application -- 5.3 Sensor Applications -- 5.4 Semiconductor Applications -- 5.5 Thermal Conductor Application -- 6 Conclusion -- References -- 7 Metallic Nanocomposites: Bacterial-Based Ecologically Benign Biofabrication and Optimization Studies -- Abstract -- 1 Introduction -- 2 Eco-friendly Biofabrication of Metallic Nanocomposites -- 2.1 Bacterial-Based Biofabrication of Silver Nanoparticles -- 2.1.1 Bacterial-Based Biofabrication Methodology -- 2.1.2 Characterization of the Silver Nanoparticles. 3 Optimization of the Various Major Physicocultural Parameters -- 3.1 Influence of Various Growth Mediums -- 3.2 Influence of Various Concentrations of Precursor Salt -- 3.3 Influence of Various Hydrogen Ion Concentrations (pH) -- 3.4 Influence of Various Temperatures -- 3.5 Optimization of Physicocultural Conditions for the Biological Synthesis of Silver Nanoparticles -- 4 Physical Characterizations -- 5 Conclusion and Future Perspective -- Acknowledgments -- References -- 8 Bio-based Wood Polymer Nanocomposites: A Sustainable High-Performance Material for Future -- Abstract -- 1 Introduction -- 2 Wood Polymer Nanocomposites -- 3 Bio-based Polymers -- 3.1 Polyfurfuryl Alcohol -- 3.2 Starch -- 3.3 Polylactic Acid -- 3.4 Soy flour -- 3.5 Polyhydroxyalkanoates -- 3.6 Epoxidised Vegetable Oil -- 4 Modification of Natural Polymers: Grafting -- 5 Cross-linking Agents -- 6 Flame Retardants -- 7 Different Nano Reinforcing Agents -- 7.1 Montmorillonite -- 7.2 Metal Oxide Nanoparticles -- 7.3 Carbon Nanotubes (CNT) -- 7.4 Nanocellulose -- 8 Properties of Wood Polymer Nanocomposites -- 8.1 Dimensional Stability -- 8.2 Mechanical Properties -- 8.3 Chemical Resistance -- 8.4 Biodegradation Properties -- 9 Applications -- 10 Conclusion and Future Prospect -- References -- 9 Water Soluble Polymer-Based Nanocomposites Containing Cellulose Nanocrystals -- Abstract -- 1 Water Soluble Polymers -- 1.1 Naturally Occurring Water Soluble Polymers -- 1.1.1 Polysaccharide-Based Water Soluble Polymers -- Carrageenan -- Alginate -- Derivatives of Cellulose -- Methyl Cellulose -- Hydroxyethyl Cellulose -- Hydroxypropyl Cellulose -- Hydroxy Propyl Methyl Cellulose -- Carboxy Methyl Cellulose -- Derivatives of Starch -- 1.1.2 Protein-Based Water Soluble Polymers -- Gelatin -- 1.2 Synthetic Water Soluble Polymers -- 1.2.1 Poly vinyl Alcohol -- 1.2.2 Polyacrylic Acid. 1.2.3 Polyacrylamide -- 2 Need for Water Soluble Polymers with Better Properties -- 3 Polymer Nanocomposites -- 4 Mechanism of Polymer Reinforcement by Nanomaterials -- 5 Water Soluble Polymer-Based Nanocomposites -- 6 Cellulose Nanocrystals -- 6.1 Sources of Cellulose -- 6.1.1 Plants -- 6.1.2 Tunicates -- 6.1.3 Algae -- 6.1.4 Bacteria -- 6.2 Isolation of Cellulose Nanocrystals -- 6.3 Dimensions of Cellulose Nanocrystals -- 6.4 Properties of Cellulose Nanocrystals -- 6.4.1 Mechanical Properties -- 6.4.2 Liquid Crystalline Nature of Cellulose Nanocrystals -- 6.4.3 Rheological Properties -- 7 Cellulose Nanocrystal Reinforced Water Soluble Polymer Nanocomposites -- 7.1 Carragenan-Based Nanocomposites -- 7.2 Alginate-Based Nanocomposites -- 7.3 Nanocomposites Based on Cellulose Derivatives -- 7.4 Starch-Based Nanocomposites -- 7.5 Gelatin-Based Nanocomposites -- 7.6 Polyvinyl Alcohol-Based Nanocomposites -- 7.7 Polyacrylic Acid-Based Nanocomposites -- 7.8 Polyacrylamide-Based Nanocomposites -- 8 Applications of Cellulose Nanocrystals-Based Water Soluble Polymer Nanocomposites -- References -- 10 Bionanocomposites of Regenerated Cellulose Reinforced with Halloysite Nanoclay and Graphene Nanoplatelets: Characterizations and Properties -- Abstract -- 1 Introduction -- 1.1 Regenerated Cellulose -- 1.2 Cellulose Dissolution -- 1.3 Ionic Liquids -- 1.4 Mechanism of Cellulose Dissolution -- 1.5 Precipitation--Regeneration -- 1.6 Main Properties Involved in the Dissolution Process -- 1.7 Nanofillers -- 1.7.1 Halloysite Nanotube (HNT) -- 1.7.2 Graphene Nanoplatelets -- 1.8 Nanocomposite Preparation Methods -- 1.8.1 Solvent Intercalation Process -- 1.8.2 In Situ Polymerization Process -- 1.8.3 Melt Interaction Method -- 1.9 Nanocomposites Structures -- 2 Regenerated Cellulose Nanocomposites -- 2.1 Regenerated Cellulose/Halloysite Nanoclay. 2.2 Regenerated Cellulose/Graphene Nanocomposites. This book contains precisely referenced chapters, emphasizing environment-friendly polymer nanocomposites with basic fundamentals, practicality and alternatives to traditional nanocomposites through detailed reviews of different environmental friendly materials procured from different resources, their synthesis and applications using alternative green approaches. The book aims at explaining basics of eco-friendly polymer nanocomposites from different natural resources and their chemistry along with practical applications which present a future direction in the biomedical, pharmaceutical and automotive industry. The book attempts to present emerging economic and environmentally friendly polymer nanocomposites that are free from side effects studied in the traditional nanocomposites. This book is the outcome of contributions by many experts in the field from different disciplines, with various backgrounds and expertises. This book will appeal to researchers as well as students from different disciplines. The content includes industrial applications and will fill the gap between the research works in laboratory to practical applications in related industries. EBL201708 Chemical Physics and Chemistry SzGeCERN BOOK Thakur, Manju Kumari https://cds.cern.ch/auth.py?r=EBLIB_P_2120604 ebook n 201732 201708 21 PUBLIC BOOK DELETED 2279183 SzGeCERN 20200808000723.0 9783319172804 electronic version electronic version 9783319172804 print version 9783319172811 electronic version electronic version oai:cds.cern.ch:2279183 cerncds:BOOK EBL 2095477 eng QD1-999 541.2 Roy, Kunal A primer on QSAR/QSPR modeling fundamental concepts Cham Springer 2015 129 p ebook Springerbriefs in molecular science Foreword -- Preface -- Contents -- 1 QSAR/QSPR Modeling: Introduction -- Abstract -- 1.1 Introduction -- 1.2 What Is QSAR/QSPR Modeling? -- 1.2.1 Definition and Formalism -- 1.2.2 Objectives of QSAR: Key Features -- 1.2.3 Background -- 1.2.4 Importances of QSAR -- 1.2.5 QSAR and Regulatory Perspectives -- 1.2.6 Applications of QSAR -- 1.3 What Are Descriptors? -- 1.3.1 Definition -- 1.3.2 Types of Descriptors -- 1.3.2.1 2D-Descriptors -- Topological -- Structural Parameters -- Physicochemical Parameters -- Indicator Variables -- Thermodynamic Descriptors -- 1.3.2.2 3D-Descriptors -- Electronic Parameters -- Spatial Parameters -- Molecular Shape Analysis (MSA) Descriptors -- Molecular Field Analysis (MFA) Parameters -- Receptor Surface Analysis (RSA) Parameters -- 1.3.3 Software Tools and Online Platforms -- 1.4 Conclusion -- References -- 2 Statistical Methods in QSAR/QSPR -- Abstract -- 2.1 Introduction -- 2.2 Chemometric Tools -- 2.2.1 Various Chemometric Tools Used in QSAR/QSPR -- 2.2.2 Pretreatment of the Data Table -- 2.2.3 Feature Selection -- 2.2.4 Multiple Linear Regression -- 2.2.5 Partial Least Squares (PLS) -- 2.2.6 Linear Discriminant Analysis -- 2.2.7 Cluster Analysis -- 2.3 Quality Metrics -- 2.3.1 Importance of Metrics for Determination of Quality of QSAR Models -- 2.3.2 Types of Validation -- 2.3.2.1 The OECD Principles -- 2.3.2.2 Internal Validation -- 2.3.2.3 External Validation -- Selection of Training and Test Sets -- Applicability Domain (AD) -- 2.3.3 Validation Metrics for Regression-Based QSAR Models -- 2.3.3.1 Metrics for Internal Validation -- 2.3.3.2 Metrics for External Validation -- 2.3.4 Validation Metrics Employed in Classification-Based QSAR -- 2.3.4.1 Parameters for Goodness-of-Fit and Quality Determination -- 2.3.4.2 Metrics for Model Performance Parameters. 2.3.5 Parameters for Receiver Operating Characteristics (ROC) Analysis -- 2.3.5.1 Metrics for Pharmacological Distribution Diagram (PDD) -- 2.4 Conclusion -- References -- 3 QSAR/QSPR Methods -- Abstract -- 3.1 Introduction -- 3.2 De Novo Models -- 3.2.1 Free--Wilson Model -- 3.2.2 Fujita--Ban Model -- 3.3 Property-Based QSAR -- 3.3.1 LFER Approach of Hansch -- 3.3.2 The Mixed Approach -- 3.4 Graph Theoretical Approach -- 3.4.1 Introduction to Graph Theory -- 3.4.2 Matrix and Chemical Graphs -- 3.4.3 Topological Descriptors -- 3.4.4 Applications -- 3.5 Three-Dimensional QSAR -- 3.5.1 In Silico Representation of Molecular Structure -- 3.5.2 Computational Chemistry for Property Simulation -- 3.5.2.1 Conformational Analysis -- 3.5.2.2 Energy Minimization -- 3.5.2.3 Molecular Mechanics -- 3.5.2.4 Molecular Dynamics -- 3.5.2.5 Quantum Mechanics -- The Basic Formalism -- The Born--Oppenheimer Approximation -- The Hartree--Fock Approximation -- Density Function Theory (DFT) -- Semi-empirical Analysis -- 3.5.3 Examples of 3D-QSAR -- 3.5.3.1 CoMFA -- Perception of CoMFA -- Formalism of CoMFA -- Factors Responsible for the Performance of CoMFA -- Display and Interpretation of Results -- Advantages and Drawbacks of CoMFA -- 3.5.3.2 CoMSIA -- Idea of CoMSIA -- Methodology of CoMSIA -- Advantages of CoMSIA -- 3.5.3.3 MSA -- Concept of the MSA -- Methodology of the MSA -- MSA Descriptors -- 3.5.3.4 RSA -- Concept of the RSA -- Methodology of the RSA -- RSA Descriptors -- Miscellaneous -- 3.6 Conclusion -- References -- 4 Newer Directions in QSAR/QSPR -- Abstract -- 4.1 Introduction -- 4.2 Newer Methods -- 4.2.1 HQSAR -- 4.2.1.1 Perception of HQSAR -- 4.2.1.2 Methodology -- 4.2.1.3 HQSAR Parameters -- 4.2.1.4 Application of HQSAR Models -- 4.2.1.5 Advantages of HQSAR -- 4.2.2 G-QSAR -- 4.2.2.1 Idea Behind Group-based QSAR (G-QSAR) -- 4.2.2.2 G-QSAR Methodology. 4.2.2.3 Advantage of G-QSAR -- 4.2.2.4 Application of G-QSAR Model -- 4.2.3 MIA-QSAR -- 4.2.3.1 Concept of MIA-QSAR -- 4.2.3.2 Methodology of MIA-QSAR -- 4.2.3.3 Advantages of MIA-QSAR -- 4.2.3.4 Drawbacks of MIA-QSAR -- 4.2.3.5 Application of MIA-QSAR -- 4.2.4 Binary QSAR -- 4.2.4.1 Concept of Binary QSAR -- 4.2.4.2 Methodology of Binary QSAR -- 4.2.4.3 Advantage of Binary QSAR -- 4.2.4.4 Drawbacks of Binary QSAR -- 4.2.5 Miscellaneous Methods -- 4.3 Future Scope -- 4.3.1 What to Expect in the Coming Days -- 4.3.2 Newer Application Areas of QSAR/QSPR -- 4.3.2.1 QSAR of Nanoparticles -- 4.3.2.2 QSAR of Mixture Toxicity -- 4.3.2.3 QSAR of Peptides -- 4.3.2.4 QSAR of Cosmetics -- 4.3.2.5 QSAR of Ionic Liquids -- 4.3.2.6 Material Informatics -- 4.3.2.7 Interspecies Toxicity Modeling -- 4.3.2.8 QSAR of Phytochemicals -- 4.4 Conclusion -- References. This brief goes back to basics and describes the Quantitative structure-activity/property relationships (QSARs/QSPRs) that represent predictive models derived from the application of statistical tools correlating biological activity (including therapeutic and toxic) and properties of chemicals (drugs/toxicants/environmental pollutants) with descriptors representative of molecular structure and/or properties. It explains how the sub-discipline of Cheminformatics is used for many applications such as risk assessment, toxicity prediction, property prediction and regulatory decisions apart from drug discovery and lead optimization. The authors also present, in basic terms, how QSARs and related chemometric tools are extensively involved in medicinal chemistry, environmental chemistry and agricultural chemistry for ranking of potential compounds and prioritizing experiments. At present, there is no standard or introductory publication available that introduces this important topic to students of chemistry and pharmacy. With this in mind, the authors have carefully compiled this brief in order to provide a thorough and painless introduction to the fundamental concepts of QSAR/QSPR modelling. The brief is aimed at novice readers. EBL201708 Chemical Physics and Chemistry SzGeCERN EBL Chemometrics BOOK Kar, Supratik Das, Rudra Narayan https://cds.cern.ch/auth.py?r=EBLIB_P_2095477 ebook n 201732 201708 21 PUBLIC BOOK DELETED 2279182 SzGeCERN 20200808000723.0 9788132223481 electronic version electronic version 9788132223481 print version 9788132223498 electronic version electronic version oai:cds.cern.ch:2279182 cerncds:BOOK EBL 2095470 eng HF4999.2-6182 005.7 Sharma, Chitra Business process transformation the process tangram framework New Delhi Springer 2015 214 p ebook Management for professionals Foreword -- Acknowledgments -- Contents -- About the Authors -- 1: Introduction -- 1.1 Chapter Overview -- 1.1.1 Transformation Program, Triggers, Goals, Tools and Techniques -- 1.1.1.1 Transformation Program -- 1.1.1.2 Triggers and Goals -- 1.1.1.3 Tools and Techniques -- 1.1.2 Culture and Communication -- 1.1.3 Success Factors -- 1.1.4 Process Modeling -- 1.1.5 Change Management -- 1.1.6 Managed Services: A Case of Business Process Transformation? -- 1.1.7 Recapitulation and Application of Process Tangram -- Reference -- 2: Transformation Program, Triggers, Goals, and Tools and Techniques -- 2.1 Transformation Program, Triggers, Goals, and Tools and Techniques -- 2.1.1 Transformation Program -- 2.1.1.1 The Transformation Program Charter -- Program Overview -- Program Organization -- Program Business Case and Milestones -- 2.1.1.2 Business Case, Milestones, and Tollgates -- Executive Summary -- Objective -- Timeline and Investment Analysis -- Option Evaluation and Recommendation -- Supporting Material -- 2.1.1.3 Milestones and Tollgates -- 2.1.1.4 Team Structure -- Steering Committee -- Process Teams -- Line Management -- Facilitators -- Super-Users -- 2.1.1.5 Risk and Issue Management -- 2.1.1.6 Governance -- 2.1.1.7 Handover and Closure -- 2.1.2 Triggers and Goals -- 2.1.2.1 Case 1 -- 2.1.2.2 Case 2 -- 2.1.2.3 Case 3 -- Interaction with the Head of Product Development: TigerSoft -- Interaction with the Pool Manager: TigerSoft -- Interaction with the Sales Head: TigerSoft -- Interaction with the CFO: TigerSoft -- Interaction with LionSoft Staff -- Initial Recommendation -- 2.1.3 Tools and Techniques -- 2.1.3.1 Process Analysis -- 2.1.3.2 Productivity Analysis -- 2.1.3.3 Customer Analysis -- 2.1.3.4 Functional Analysis -- 2.1.3.5 Business Process Modeling -- 2.1.3.6 Value Stream Mapping. 2.1.3.7 Best Practice Analysis -- 2.1.3.8 Competitive Analysis -- 2.1.3.9 Market Trends -- 2.1.3.10 Lesson Learned Logs -- 2.1.3.11 Life-Cycle Analysis -- 2.1.3.12 Organization Analysis -- 2.1.3.13 Performance Metrics -- 2.1.3.14 Financial Metrics -- Gross Profit Margin -- Inventory Turnover Ratio -- Receivable Turnover Ratio -- Account Payable Turnover Ratio -- Return on Equity -- 2.1.3.15 Investment Analysis -- Cost-Benefit Analysis -- Net Present Value -- Benefit-Cost Ratio -- Internal Rate of Return -- Payback Period -- 2.1.3.16 Quality Tools -- Brainstorming -- Root Cause Analysis -- Cause-Effect Diagrams -- 2.1.3.17 Data Analytics -- 2.1.3.18 Cost Analysis -- Direct and Indirect Costs -- Opportunity Costs -- Sunk Costs -- Variable, Fixed, and Mixed Costs -- Incremental/Differential Cost -- Marginal Cost -- Time-Driven Activity-Based Costing -- References -- Suggested Reading -- 3: Culture and Communication -- 3.1 Culture -- 3.1.1 Value System -- 3.1.1.1 Levels of Culture -- 3.1.1.2 Dimensions of Culture -- The Hierarchy Culture -- The Market Culture -- The Clan Culture -- The Adhocracy Culture -- The "Right" Approach to Culture -- 3.1.2 Organization Structure -- 3.1.2.1 Span of Control -- 3.1.2.2 Centralize or Decentralize -- 3.1.3 Motivation -- 3.1.3.1 Expectancy Theory of Motivation -- Effort to Performance Expectancy (E → P) -- Performance to Outcome Expectancy (P → O) -- Outcome Valences -- 3.1.3.2 Equity Theory of Motivation -- 3.1.3.3 Reward and Recognition -- 3.1.4 Change Management -- 3.1.5 Conflict Management -- 3.1.6 Capability Development -- 3.1.6.1 Inventorize -- 3.1.6.2 Prioritize -- 3.1.6.3 Define -- 3.1.6.4 Specify Qualitative and Quantitative Requirements -- 3.1.6.5 Conduct Gap Assessment -- 3.1.6.6 Finalize Approach (In-House/Outsource/Hybrid) -- 3.1.6.7 Design and Execute Training. 3.1.6.8 Evaluate and Provide Feedback -- 3.2 Communication -- 3.2.1 Engagement Strategy -- 3.2.2 Stakeholder Analysis -- 3.2.3 Communication Plan -- 3.2.4 Identification of Barriers to Communication -- 3.2.4.1 Sender -- 3.2.4.2 Message -- 3.2.4.3 Environment -- 3.2.4.4 Receiver -- 3.2.5 Communication Package -- 3.2.6 Feedback Mechanism and Evaluation -- References -- Suggested Reading -- 4: Success Factors -- 4.1 Success Factors -- 4.1.1 Leadership Commitment -- 4.1.2 Clear Strategy and Vision -- 4.1.3 Value Focus -- 4.1.4 Quality -- 4.1.5 Innovation -- 4.1.6 Speed -- 4.1.7 Process Orientation -- 4.1.8 Portfolio Management Approach -- 4.1.9 Adequate Funding -- 4.1.10 Cross-Functional Teams -- 4.1.11 Flexible IT Architecture -- 4.1.12 MIS and Knowledge Assets -- References -- 5: Process Modeling -- 5.1 The "As Is" Process and Process Discovery -- 5.2 "To Be" Process Modeling -- 5.3 Guidelines for Process Modeling -- 5.4 Conceptual Frameworks of Process Modeling -- 5.5 Process Modeling with BPMN -- 5.6 Business Process Documentation -- References -- 6: Change Management -- 6.1 Kurt Lewin's Model -- 6.1.1 Learning for Semicron -- 6.2 Kotter's 8 Steps for Change -- 6.2.1 Learning for Semicron -- 6.3 Beckhard and Harris Model -- 6.3.1 Learning for Semicron -- 6.4 Mckinsey's 7-Step Model -- 6.4.1 Learning for Semicron -- 6.5 Nadler Tushman Congruence Model -- 6.5.1 Application for Semicron -- 6.6 Kübler-Ross Model for Dealing with Change -- 6.7 Resistance to Change -- 6.7.1 Dealing with Resistance at Individual Level -- 6.7.2 Dealing with Resistance at Organizational Level -- 6.8 Role of Change Manager -- 6.9 Change Agent -- 6.10 Managing and Sustaining Change -- 6.10.1 Context -- 6.10.2 Offerings -- 6.10.3 Timeline -- 6.10.4 Process -- 6.10.5 Change Team -- 6.10.6 Communication -- 6.10.7 Celebrations. References -- 7: Managed Services: A Case of Business Process Transformation? -- 7.1 Managed Services in Telecom -- 7.1.1 Business Models -- 7.1.2 Pricing Models -- 7.1.3 Managed Service Offerings -- 7.1.4 Role of Information Technology -- 7.1.4.1 Mobile Value-Added Services -- Education -- Financial Sector -- Governance -- Healthcare -- Energy and Utilities -- Transport -- 7.1.5 Transformation of Telecom Operator TX -- 7.1.5.1 Background -- 7.1.5.2 In-Scope Processes -- 7.1.5.3 TX's Vendor Evaluation Criteria -- 7.1.5.4 VY's Assessment Criteria -- Realistic Goals -- In-Scope and Out-Scope Processes -- Multi-vendor or Single-Vendor Environment -- Environmental Factors -- Economies of Scale -- Governance -- Transition -- Transformation -- Exit Mechanism -- 7.1.5.5 Master Service Agreement and Readiness Assessment -- Milestone Evaluation by the Program Manager -- 7.1.5.6 TX-VY Interface -- 7.1.5.7 Benefits to TX (Post-MSA) -- 7.1.6 Is Managed Services a Win-Win Scenario? -- 7.1.7 Is Managed Services a Case of Business Process Transformation? -- References -- 8: Recapitulation and Application of "The Process Tangram" -- 8.1 Process Tangram -- 8.1.1 Transformation Program -- 8.1.2 Triggers -- 8.1.3 Goals -- 8.1.4 Tools and Techniques -- 8.1.4.1 Cluster 1: Analysis of Process -- 8.1.4.2 Cluster 2: Analysis of Performance -- 8.1.4.3 Cluster 3: Learning -- 8.1.4.4 Cluster 4: Understanding of Environment -- 8.1.4.5 Cluster 5: Program Business Case -- 8.1.4.6 Cluster 6: Process Design and Transformation Plan -- 8.1.5 Culture -- 8.1.6 Communication -- 8.1.7 Success Factors -- 8.1.8 Managed Services as a Case of Business Process Transformation -- References. This book presents a framework through transformation and explains  how business goals can be translated into realistic plans that are tangible and yield real results in terms of the top line and the bottom line. Process Transformation is like a tangram puzzle, which has multiple solutions yet is essentially composed of seven 'tans' that hold it together. Based on practical experience and intensive research into existing material, 'Process Tangram' is a simple yet powerful framework that proposes Process Transformation as a program. The seven 'tans' are: the transformation program itself, triggers, goals, tools and techniques, culture, communication and success factors. With its segregation into tans and division into core elements, this framework makes it possible to use 'pick and choose' to quickly and easily map an organization's specific requirements. Change management and process modeling are covered in detail. In addition, the book approaches managed services as a model of service delivery, which it explores as a case of process transformation. This book will appeal to anyone engaged in business process transformation, be it business process management professionals, change managers, sponsors, program managers or line managers. The book starts with the basics, making it suitable even for students who want to make a career in business process management. EBL201708 Computing and Computers SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_2095470 ebook n 201732 201708 21 PUBLIC BOOK DELETED 2279181 SzGeCERN 20200808000723.0 9783319145709 electronic version electronic version 9783319145709 print version 9783319145716 electronic version electronic version oai:cds.cern.ch:2279181 cerncds:BOOK EBL 2095467 eng HF4999.2-6182 005.7 Simon, Daniel Business architecture management architecting the business for consistency and alignment Cham Springer 2015 302 p ebook Management for professionals Foreword -- Preface -- Contents -- 1: Introduction: Demystifying Business Architecture -- 1.1 Background -- 1.2 Objectives of the Book -- 1.3 Foundation of the Book: The Business Architecture Framework -- 1.3.1 Business Motivation -- 1.3.2 Business Model -- 1.3.3 Business Execution -- 1.3.4 Relationships Between the Business Architecture Constituents -- 1.4 Outline of the Book -- References -- Part I: Architecting the Business Motivation and Business Model -- 2: An Architectural Approach to Strategizing: Structure and Orientation for Developing the Business Motivation -- 2.1 Introduction -- 2.2 Deliberate Classification of Strategic Constituents -- 2.3 Development of a Consistent and Modular System of Goals/Objectives -- 2.4 Development of a Comprehensive and Suitable Set of Strategies for Goal Achievement -- 2.5 Identification of Needs for Strategic Change/Amendments -- 2.6 Comprehensible Communication of Strategic Choices -- 2.7 Reflection and Discussion -- References -- 3: Corporate Strategy and Corporate Branding: Reference Frame and Examples of Integrated Corporate Strategic and Brand Managem... -- 3.1 Introduction -- 3.2 Corporate Strategy (CS) and Corporate Brand Management (CBM): Core Components of a Reference Frame -- 3.2.1 Brand Management Development -- 3.2.2 Corporate Strategy (CS) and Corporate Brand Management (CBM): Going from an Isolated View to an Integrated Understanding -- 3.3 Selected Design Perspectives of the Integrated Approach to CSandB-Management -- 3.3.1 Definition of Corporate and Brand Identity as Gateway for CSandB-Management -- 3.3.2 Development of Strategic Positioning as Core Assignment of CSandB-Management -- 3.3.3 Implementation of Brand Identity Towards the Inside: The Particular Challenge of CSandB-Management -- 3.4 Conclusion -- References. 4: From Business Motivation to Business Model and Beyond: A Customer Value-Driven Approach -- 4.1 Introduction -- 4.2 How Does Business Motivation Affect an Enterprise? -- 4.2.1 Value Disciplines -- 4.2.2 Example: Apple -- 4.2.2.1 Is Apple Excellent in Operations? -- 4.2.2.2 Further Strategic Observations on Apple -- 4.3 How to Link Business Motivation to Business Model? -- 4.3.1 Value of a Business Model -- 4.3.2 Business Model Canvas for Apple Inc. -- 4.3.2.1 Results -- Value Proposition -- Cost Structure -- Revenue Streams -- 4.3.2.2 Demand -- Customer Segments -- Customer Relationship -- Channels -- 4.3.2.3 Supply -- Key Partnerships -- Key Resources -- Key Activities -- 4.4 How to Link Business Motivation to Business Operations? -- 4.4.1 Domain-Based Analysis of Operating Model -- 4.4.2 Enterprise-Based Analysis of Operating Model -- 4.4.3 Example: Apple -- 4.4.3.1 Value Proposition -- 4.4.3.2 Customer Relationship/Channels/Customer Segments -- 4.4.3.3 Key Activities -- Design and Development -- Manufacturing and Quality Control -- 4.5 Conclusion -- References -- Part II: Architecting the Business Capabilities -- 5: The Capability Management Process: Finding Your Way into Capability Engineering -- 5.1 Introduction -- 5.1.1 Starting from Strategy -- 5.1.2 Analysis of Capability Approaches -- 5.1.3 Capability Definition -- 5.2 The Integrated Capability Approach -- 5.3 The Capability Management Process -- 5.3.1 Preparation -- 5.3.2 Design Catalog -- 5.3.3 Develop Details -- 5.3.4 Catalog Governance -- 5.4 Conclusion -- References -- 6: Using Capability Models for Strategic Alignment -- 6.1 The Role of Capabilities in Business Architecture Management -- 6.1.1 Capabilities and Domains -- 6.1.2 Capabilities in Business Model Canvases -- 6.1.3 Capabilities as a Common Language in the Enterprise -- 6.2 Dynamic Capabilities. 6.3 Managing a Set of Operational Capabilities -- 6.3.1 Heat Mapping: Using Capabilities to Direct Investments -- 6.3.1.1 Variants -- 6.3.1.2 Consequences -- 6.3.1.3 Known Uses -- 6.3.2 Footprinting: Using Capabilities for Solutions Planning -- 6.3.2.1 Variants -- 6.3.2.2 Consequences -- 6.3.2.3 Related Procedures -- 6.3.3 Mix the Models: Obtain an Own Capability Map -- 6.3.3.1 Variants -- 6.3.3.2 Consequences -- 6.3.3.3 Known Uses -- 6.4 Summary -- References -- Part III: Architecting Business Capability Realization -- 7: Can Culture Be Designed? -- 7.1 Introduction: What Is Culture and Why Is It Important? -- 7.2 Is There Such a Thing as an Inherently ``Good´´ or ``Bad´´ Culture? -- 7.3 What Is the Role of Culture in Change? -- 7.4 Can Culture Be Designed? -- 7.4.1 The Culture Map and the Principles of Its Design -- 7.4.2 Using the Culture Map -- 7.5 Conclusion -- References -- 8: From Value Chain to Value Network: Reinventing the Enterprise in the Light of Technology Forces -- 8.1 Introduction -- 8.2 Environmental Analysis -- 8.2.1 Social, Technical, Economic, and Political Changes -- 8.2.2 Impact of Technology-Driven Changes on the Financial Industry -- 8.3 Analysis of the Current State of an Example Enterprise -- 8.3.1 The Porter Value Chain -- 8.3.2 Structural View: Banking Component Model -- 8.3.3 Behavioral View: Banking Business Process Model -- 8.3.4 Information View: Orchestrating Components in Business Processes -- 8.4 Prediction of the Future: A Possible Scenario -- 8.4.1 The New Game -- 8.4.2 How to Play the New Game? -- 8.4.3 Changes in the Value Chain -- 8.4.4 Changes in the Behavioral View -- 8.4.5 Changes in the Information View -- 8.5 Transformed Enterprise in the New Normal -- 8.5.1 New Value Network -- 8.5.2 New Structural View -- 8.5.3 New Behavioral View -- 8.5.4 New Information View. 8.6 Role of Business Architecture Management -- 8.7 Conclusion: ``Welcome to the Information Economy´´ -- References -- 9: Liberate Your Business Potential via Actionable Patterns -- 9.1 Introduction -- 9.2 Pattern: Anisotropically Decentralized Organization (ADO) -- 9.2.1 Business Concern to Be Addressed by the Pattern -- 9.2.2 Logic of the Pattern -- 9.2.3 Implications of the Pattern -- 9.2.4 Examples of the Pattern -- 9.3 Pattern: Customer eXperience As A Process (CXAAP) -- 9.3.1 Business Concern to Be Addressed by the Pattern -- 9.3.2 Logic of the Pattern -- 9.3.3 Implications of the Pattern -- 9.3.4 Example of the Pattern -- 9.4 Pattern: Delegation of Authority Matrix (DAM) -- 9.4.1 Business Concern to Be Addressed by the Pattern -- 9.4.2 Logic of the Pattern -- 9.4.3 Implication of the Pattern -- 9.4.4 Example of the Pattern -- 9.5 Pattern: Maturity of Process System (MOPS) -- 9.5.1 Business Concern to Be Addressed by the Pattern -- 9.5.2 Logic of the Pattern -- 9.5.2.1 Performed Process (Level 1) -- 9.5.2.2 Managed Process (Level 2) -- 9.5.2.3 Defined Process (Level 3) -- 9.5.2.4 Quantitatively Managed Process (Level 4) -- 9.5.2.5 Optimizing Process (Level 5) -- 9.5.2.6 Process Operations in CMMI Process Types -- 9.5.3 Implication of the Pattern -- 9.6 Pattern: Structuring IT Organization (SITO) -- 9.6.1 Business Concern to Be Addressed by the Pattern -- 9.6.2 Logic of the Pattern -- 9.6.3 Implication of the Pattern -- 9.6.4 Example of the Pattern -- 9.7 Summary -- References -- 10: Business Architecture for Change Program Design and Planning -- 10.1 Business Change Is a Complex Undertaking -- 10.2 Planning a Europe-wide Business Change -- 10.3 Foundations to the Approach -- 10.3.1 Influences -- 10.3.2 Key Elements of the Business Architecture -- 10.3.3 Target Business Scenario -- 10.4 Applying the Business Architecture. 10.4.1 Phase 1: Program Definition -- 10.4.2 Phase 2: Program Design -- 10.4.3 Phase 3: Program Delivery -- 10.5 Migration Strategies and Patterns -- 10.5.1 From Object Specification to Execution -- 10.5.2 Decoupling -- 10.5.3 Pivot Points -- 10.6 Conclusions and Further Work -- 10.6.1 Reusing the Approach -- 10.6.2 Exploring Other Elements of the Business Architecture -- 10.7 Final Word -- References -- Part IV: Modeling and Measuring -- 11: Building Agile Enterprises: A Model-Based Approach to Rapid Realization of Business Value -- 11.1 Introduction -- 11.2 Perspectives on Agility -- 11.3 Becoming More Agile -- 11.4 Assessing Agility -- 11.4.1 Example -- 11.5 Desired Agility -- 11.5.1 Assessment Instrument -- 11.5.2 Desired Agility: Business Motivation Perspective -- 11.5.3 Desired Agility: Business Model Perspective -- 11.5.4 Desired Agility: Business Execution Perspective -- 11.5.4.1 Interaction -- 11.5.4.2 Structure -- 11.5.4.3 Function -- 11.5.4.4 Coordination -- 11.5.4.5 Decision -- 11.5.4.6 Product -- 11.5.5 Example -- 11.6 Improving Agility Through Data Virtualization -- 11.6.1 Example -- 11.7 Architecting Agility -- References -- 12: Effectively Modeling Your Architecture -- 12.1 Introduction: Managing Complexity in Enterprise Architecture Management -- 12.2 Current State: Modeling Your Business -- 12.2.1 Why Model Your Business? -- 12.2.2 A Single Logical Model -- 12.2.3 Business Process Models: BPMN -- 12.2.4 Enterprise Architecture Models: ArchiMate -- 12.2.5 Combining BPMN and ArchiMate to Create Models of Your Business -- 12.2.6 Patterns and Links -- 12.3 Future State and Change: Planning Your Changes -- 12.3.1 From Broad Strokes to Fine Detail: The Architecture of a Change -- 12.3.2 Future State: Multiple Models of a Single Reality and the BITMAP. 12.4 Introducing and Sustaining a ``Modeling-Supported´´ Architecture Management Approach. This book presents a comprehensive overview of enterprise architecture management with a specific focus on the business aspects. While recent approaches to enterprise architecture management have dealt mainly with aspects of information technology, this book covers all areas of business architecture from business motivation and models to business execution. The book provides examples of how architectural thinking can be applied in these areas, thus combining different perspectives into a consistent whole. In-depth experiences from end-user organizations help readers to understand the abstract concepts of business architecture management and to form blueprints for their own professional approach. Business architecture professionals, researchers, and others working in the field of strategic business management will benefit from this comprehensive volume and its hands-on examples of successful business architecture management practices.​. EBL201708 Computing and Computers SzGeCERN BOOK Schmidt, Christian https://cds.cern.ch/auth.py?r=EBLIB_P_2095467 ebook n 201732 201708 21 PUBLIC BOOK DELETED 2279173 SzGeCERN 20200808000722.0 9783319128672 electronic version electronic version 9783319128672 print version 9783319128689 electronic version electronic version oai:cds.cern.ch:2279173 cerncds:BOOK EBL 2094145 eng TA401-492 541.2254 Kim, Chang-Soo Hybrid and hierarchical composite materials Cham Springer 2015 363 p ebook Contents -- Contributors -- Chapter-1 -- Introduction -- 1.1 Introduction -- 1.2 Hybrid Composites -- 1.3 Hierarchical Composites -- 1.4 Concluding Remarks -- References -- Part I -- Hybrid Composites -- Chapter-2 -- Organic-Inorganic Polymer Hybrids: Synthetic Strategies and Applications -- 2.1 Introduction -- 2.2 Synthetic Strategies for the Preparation of Organic-Inorganic Polymer Hybrids -- 2.2.1 Blending -- 2.2.1.1 Solution and Melt Blending -- 2.2.1.2 Powder Blending -- 2.2.2 Sol-Gel Synthesis -- 2.2.2.1 Basics of the Sol-Gel Method -- 2.2.2.2 In Situ Preparation of Polymer-Based Hybrids via Sol-Gel -- 2.2.2.3 Structurally Defined Polymer-Based Hybrids by Sol-Gel -- 2.2.3 Emulsion Polymerization -- 2.2.4 Metallosupramolecular and Coordination Approaches -- 2.2.5 Photopolymerization -- 2.2.6 Intercalation -- 2.2.7 Microwave Irradiation -- 2.2.8 Electrochemical Synthesis -- 2.2.9 Surface Grafting -- 2.2.9.1 Surface-Initiated Polymerization (the "grafting from" Approach) -- 2.2.9.2 Post-modification (the "grafting to" Approach) -- 2.2.9.3 The "grafting through" Approach -- 2.2.10 Self-Assembly -- 2.2.11 Amphiphilic Block Copolymer-Mediated Synthetic Approaches -- 2.3 Applications of Organic-Inorganic Polymer Hybrids -- 2.3.1 Sensing -- 2.3.2 Biomedicine -- 2.3.3 Energy -- 2.3.3.1 Hybrid Solar Cells -- 2.3.3.2 Hybrid Fuel Cells -- 2.3.3.3 Hybrid Nanocomposites: Thermoelectrics -- 2.3.3.4 Hybrid Energy Storage Devices: Hydrogen Storage, Batteries, and Capacitors -- 2.3.4 Catalysis -- 2.3.5 Optoelectronics -- 2.3.6 Environmental (Water) Remediation -- 2.3.7 Construction, Automotive and Coatings -- 2.4 Conclusions and Outlook -- References -- Chapter-3 -- Polymer-Tethered Nanoparticle Materials-An Emerging Platform for Multifunctional Hybrid Materials -- 3.1 Introduction -- 3.2 Synthesis of Polymer-Tethered (Nano) Particle Interfaces. 3.2.1 Surface Modification by Surface-Initiated Atom Transfer Controlled Radical Polymerization -- 3.2.2 Fundamentals of SI-ATRP -- 3.2.2.1 Initiation -- 3.2.2.2 Propagation -- 3.2.2.3 Exchange Reactions -- 3.2.2.4 Termination -- 3.2.3 Toward More Complex Polymer-Graft Architectures with SI-ATRP -- 3.3 Role of Polymer-Graft Modification on the Interaction, Dynamics, and Assembly of Particle Brush Materials -- 3.4 Conclusions and Future Directions -- References -- Chapter-4 -- Multiferroic Magnetoelectric Composites/Hybrids -- 4.1 Introduction -- 4.2 Materials Constituent: Piezoelectrics -- 4.2.1 Piezoelectrics and Ferroelectrics -- 4.2.2 Composition Selection Methodology -- 4.2.3 Microstructure Design Methodology -- 4.2.4 Piezoelectric Materials -- 4.3 Materials Constituent: Magnetostriction -- 4.3.1 Magnetostriction -- 4.3.2 Magnetostriction Materials -- 4.4 Composite Design and Interface Coupling -- 4.4.1 Connectivity Schemes -- 4.4.2 Working Modes of ME Composites -- 4.4.3 Interface Coupling -- 4.5 Important Hybrid Material Systems -- 4.5.1 Overview of Fabrication Process -- 4.5.2 ME Composite/Hybrid with 0-3 Connectivity -- 4.5.3 ME Composite/Hybrid with 2-2 Connectivity -- 4.5.4 ME Composite/Hybrid with 1-3 Connectivity -- 4.5.5 ME Composite/Hybrid with 2-3 Connectivity -- 4.6 Scaling Effect -- 4.6.1 Critical Size in Ferroelectric Materials -- 4.6.2 Critical Size in Ferromagnetic Materials -- 4.6.3 Coupling Mechanism -- 4.7 Theoretical Models for ME Composites -- 4.7.1 Low-Frequency ME Effect in Free Standing Bilayers -- 4.7.2 ME Effect at EMR -- 4.8 Application of ME Composite -- 4.8.1 ME Magnetic Field Sensors -- 4.8.2 ME Energy Harvesters -- 4.9 Summary and Future Perspective -- References -- Chapter-5 -- Clay/Polymer Nanocomposites:Processing, Properties, and Applications -- 5.1 Introduction -- 5.2 Applications of Nanoclay Composites. 5.2.1 Flame Retardant Materials -- 5.2.2 Drug Delivery System -- 5.3 Components -- 5.3.1 Clay -- 5.3.1.1 Group 1:1-Kaolin Group -- 5.3.1.2 Group 2:1-Smectite Group -- 5.3.1.3 Group 2:1-Illite Group -- 5.3.1.4 Group 2:2-Chlorite Group -- 5.3.1.5 Surface Modification -- 5.3.2 Epoxy -- 5.3.3 Clay/Epoxy Morphology -- 5.4 Fabrication of Clay/Epoxy Nanocomposites -- 5.4.1 Mechanical Processing Methods -- 5.4.2 Chemical Methods -- 5.5 Properties of Clay/Epoxy Nanocomposites -- 5.5.1 Tensile Properties -- 5.5.2 Flexural Properties -- 5.5.3 Glass Transition Temperature -- 5.5.4 Transport Properties -- 5.6 Modeling and Simulations -- 5.6.1 Flexural Modulus -- 5.6.2 Tensile Modulus -- 5.6.3 Molecular Simulation Studies -- Summary -- References -- Part II -- Hierarchical Composites -- Chapter-6 -- Medical Applications of Hierarchical Composites -- 6.1 Introduction -- 6.2 Types of Hierarchically Structured Composites in Medical Applications -- 6.2.1 Ceramics-Based Hierarchically Structured Composite -- 6.2.2 Collagen-Based Hierarchically Structured Composite -- 6.2.3 Inorganic/Organic Polymer-Based Hierarchical Structured Composites -- 6.3 Processing of Hierarchical Composites for Medical Applications -- 6.4 Properties of Hierarchical Composites -- 6.4.1 Mechanical Properties -- 6.4.2 Biological Properties -- 6.5 Medical Applications of Hierarchical Composite -- 6.5.1 Tissue Engineering -- 6.5.2 Drug Delivery Agent -- 6.6 Composite Modeling and Simulation -- 6.7 Challenges and Future Direction -- Conclusions -- References -- Chapter-7 -- Electrochemical Hierarchical Composites -- 7.1 Introduction -- 7.2 Applications in Energy Storage -- 7.2.1 Supercapacitors -- 7.2.1.1 Basic Working Mechanisms of ECs -- 7.2.1.2 Hierarchical Carbon-Based Materials for ELDCs -- 7.2.1.3 Hierarchical Carbon-TMO Composites for Pseudocapacitors. 7.2.1.4 Hierarchical Carbon-Conducting Polymer Composites for Pseudocapacitors -- 7.2.2 Li-Ion Batteries -- 7.2.2.1 Hierarchical Alloy Anodes -- 7.2.2.2 Hierarchical TMOs Anodes -- 7.2.2.3 Hierarchical Alloy/Conductive Polymer Composite Electrodes -- 7.3 Applications in Energy Conversion -- 7.3.1 Photoelectrochemical Cells -- 7.3.2 Fuel Cell Electrode Scaffold/Catalyst -- 7.4 Applications in Biosensing Devices -- 7.5 Concluding Remarks -- References -- Chapter-8 -- Bioinspired Hierarchical Composites -- 8.1 Introduction -- 8.2 Hierarchical Mechanical Reinforcement -- 8.2.1 Biological Materials with Hierarchical Mechanical Reinforcement -- 8.2.2 Bioinspired Synthetic Materials with Hierarchically Reinforced Microstructures -- 8.3 Hierarchical Porosity -- 8.3.1 Hierarchically Porous Materials in Nature -- 8.3.2 Synthetic Hierarchically Porous Materials -- 8.4 Hierarchical Topography -- 8.4.1 Biological Materials with Hierarchical Topography -- 8.4.2 Synthetic Materials with Hierarchical Topography: Antifouling -- 8.4.3 Synthetic Materials with Hierarchical Topography: Adhesion -- 8.4.4 Synthetic Materials with Hierarchical Topography: Color -- 8.5 Conclusions and Outlook -- References -- Chapter-9 -- Hierarchical Composites Containing Carbon Nanotubes -- 9.1 Introduction -- 9.2 Incorporation Schemes -- 9.2.1 Dispersed Systems -- 9.2.2 Fiber Coatings -- 9.2.3 CNT Structures -- 9.2.3.1 CNTs Assembled into Fibers -- 9.2.3.2 Embedded Sheets and Tapes -- 9.2.3.3 CNT Forests -- 9.3 Alteration of Matrix Properties -- 9.4 Mechanical Properties of Hierarchical Composites -- 9.4.1 Interfacial Properties -- 9.4.2 Macroscopic Properties -- 9.4.3 Summary -- 9.5 Other Properties -- 9.5.1 Thermal Properties -- 9.5.2 Electrical Properties -- 9.5.3 Summary -- 9.6 Sensing Capabilities of Hierarchical Composites -- 9.7 Modeling -- 9.8 Summary and Outlook -- References. This book addresses a broad spectrum of areas in both hybrid materials and hierarchical composites, including recent development of processing technologies, structural designs, modern computer simulation techniques, and the relationships between the processing-structure-property-performance. Each topic is introduced at length with numerous  and detailed examples and over 150 illustrations.   In addition, the authors present a method of categorizing these materials, so that representative examples of all material classes are discussed. EBL201708 Chemical Physics and Chemistry SzGeCERN BOOK Randow, Charles Sano, Tomoko https://cds.cern.ch/auth.py?r=EBLIB_P_2094145 ebook n 201732 201708 21 PUBLIC BOOK DELETED 2279067 SzGeCERN 20200503231950.0 9789812872654 electronic version electronic version 9789812872654 print version 9789812872661 electronic version electronic version oai:cds.cern.ch:2279067 cerncds:BOOK EBL 1968687 eng QD1-999 621.89 Liew Yun Hsien, Willey Towards green lubrication in machining Singapore Springer 2014 53 p ebook Springerbriefs in green chemistry for sustainability Preface -- Contents -- Abbreviations -- 1 Introduction -- Abstract -- 1.1 Lubrication Conditions -- 1.2 Mechanism of Machining -- 1.3 Action of Lubricant in Reducing Friction in Machining -- References -- 2 Utilization of Vegetable Oil as Bio-lubricant and Additive -- Abstract -- 2.1 Exploration for Environmental Friendly Lubricant Additives -- 2.2 Wear and Friction Reduction by Vegetable Oil as Bio-lubricant and Additive -- References -- 3 Utilisation of Vegetable Oil, Solid Lubricant, Mist Lubrication, Minimum Quantity Lubrication (MQL) in Machining -- Abstract -- 3.1 Tool Wear in Machining -- 3.2 Flood Lubrication in Machining -- 3.3 Solid Lubricant -- 3.4 Mist and Minimum Quantity Lubrication (MQL) -- 3.5 Vegetable Oil as Additive and Lubricant in Machining -- References -- 4 Utilisation of Environmental Friendly Gaseous and Vapour in Machining -- Abstract -- 4.1 Gaseous and Water Vapour as Lubricant in Machining -- 4.2 Cryogenic Machining -- 4.3 Chilled Air in Machining -- References -- 5 Conclusions. The book gives an overview of environmental friendly gaseous and vapour, refrigerated compressed gas, solid lubricant, mist lubrication, minimum quantity lubrication (MQL) and vegetable oils that can be used as lubricants and additives in industrial machining applications. This book introduces vegetable oils as viable and good alternative resources because of their environmental friendly, non-toxic and readily biodegradable nature.  The effectiveness of various types of vegetables oils as lubricants and additives in reducing wear and friction is discussed in this book. Engineers and scientist working in the field of lubrication and machining will find this book useful. EBL201708 Engineering SzGeCERN EBL Green technology EBL Lubrication and lubricants BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1968687 ebook n 201732 201708 21 PUBLIC BOOK DELETED 2279055 SzGeCERN 20200503231950.0 9781493906758 electronic version electronic version 9781493906758 print version 9781493906765 electronic version electronic version oai:cds.cern.ch:2279055 cerncds:BOOK EBL 1968046 eng QD1-999 541.37 Moretto, Ligia Maria Environmental analysis by electrochemical sensors and biosensors fundamentals New York, NY Springer 2014 714 p ebook Nanostructure science and technology Foreword -- Preface -- About the Editors -- Contents of Volume 1 -- Contents of Volume 2 -- Part I: Environmental Analysis -- Chapter 1: Introduction to Electroanalysis of Environmental Samples -- 1.1 Electroanalysis -- 1.2 A Glance into Electroanalytical Literature -- 1.3 Electroanalysis in a Flash -- 1.3.1 Advantages -- 1.3.2 Drawbacks -- 1.4 Electrochemistry and Environmental Analysis -- 1.4.1 History and Present -- 1.4.2 Main Topics -- 1.4.3 Sampling, Sample Storage, and Pretreatment -- 1.4.4 Measurements with Electrochemical Sensors -- 1.5 Concluding Remarks -- References -- Chapter 2: Soil -- 2.1 Introduction to Soil and Its Characteristics -- 2.2 The Unique Nature of Soils: A Heterogeneous, Three Phase System -- 2.2.1 Interactions of Biological, Chemical, and Physical Processes -- 2.2.1.1 Buffering -- 2.2.1.2 Filtering and Retention -- 2.2.1.3 Decomposition and Soil Organic Carbon Dynamics -- 2.3 Importance of Soil Analysis -- 2.4 Issues Related to Soil Assessment and Testing -- 2.4.1 Representative Sampling or Monitoring with Spatial and Temporal Variation -- 2.4.2 Selection of Soil Analytical Methods -- 2.4.3 Associated Measurements -- 2.4.4 Use of Soil Test Databases and Networks -- 2.5 Application of Proximal Soil Sensors -- 2.5.1 Voltammetric Methods -- 2.5.2 Conductometric Methods: Soil ECa -- 2.5.2.1 Soil Conductivity Sensors -- 2.5.3 Potentiometric Methods: Ion-Selective Electrodes -- 2.5.3.1 Issues in ISE/ISFET Application -- 2.5.3.2 Application: Soil Nutrient Sensing -- 2.5.3.3 Nitrate, Potassium, and Phosphate Membranes and Electrodes -- 2.5.3.4 Laboratory Prototype Systems for Soil Nutrient Sensing -- 2.5.3.5 Field-Mobile Soil Nutrient Sensors -- 2.6 Future Outlook and Considerations -- 2.6.1 Considerations in Soil Nutrient Sensing -- 2.6.1.1 Sensor Fusion -- 2.6.1.2 Sensor Calibration. 2.6.1.3 Integration with Fertilizer Application Equipment -- References -- Chapter 3: Water -- 3.1 Introduction -- 3.2 Water Chemistry: Environmental Relevance -- 3.2.1 Chemical Processes in Ambient Water -- 3.2.2 Water Pollution -- 3.3 Environmental Water Analysis -- 3.4 Electrochemical Sensors in Water Analysis -- 3.4.1 Electroanalytical Techniques -- 3.4.2 Instrumental and Technological Trends -- 3.4.3 Standardised Methods -- 3.5 Conclusions and Outlook -- References -- Chapter 4: Atmosphere -- 4.1 Gaseous Constituents -- 4.1.1 Sulfur Oxides -- 4.1.2 Nitrogen Oxides -- 4.1.3 Ozone -- 4.2 Atmospheric Aerosol -- 4.3 Inorganic Aerosol -- 4.4 Organic Aerosol -- 4.5 Conclusions -- References -- Chapter 5: Biosphere -- 5.1 Chemical and Electrochemical Sensors in Living World -- 5.2 Electrochemical Sensors for Flora and Fauna on Earth -- 5.3 Sensors for Monitoring Agriculture, Food, and Drug Quality -- 5.3.1 Remote Spectral Sensing -- 5.3.2 The Electronic Nose -- 5.3.3 Electrochemical Sensors -- 5.3.4 Biosensors -- 5.3.5 Wireless Sensor Networks -- 5.4 Future Aspects and Developments -- References -- Chapter 6: Extraterrestrial -- 6.1 Introduction -- 6.1.1 Historical Development of Electroanalytical Instruments for Mars -- 6.2 The Phoenix Wet Chemistry Laboratory (WCL) Electroanalytical Sensor Array -- 6.2.1 Ion-Selective Electrodes -- 6.2.2 Other Electroanalytical Electrodes -- 6.2.3 The WCL Custom Reference Electrode Configuration -- 6.3 Results from the Phoenix WCL -- 6.3.1 The Discovery of Perchlorate and Its Parent Salts Using the Perchlorate and Calcium ISEs -- 6.3.2 Determination of Soluble Sulfate by Titration Using a Barium ISE -- 6.3.3 Determination of pH for the Soil/Water Mixture -- 6.3.4 Determination of the Redox Potential -- 6.4 Future Directions for Planetary Electroanalytical Instrumentation -- 6.4.1 The Next-Generation WCL: CHEMSENS. 6.4.2 A Microfluidic Wet Chemical Analysis System: NERNST -- References -- Part II: Fundamental Concepts of Sensors and Biosensors -- Chapter 7: Electrochemical Sensor and Biosensors -- 7.1 General Sensor Concept -- 7.2 Comparison with Biological Sensors -- 7.3 The Importance of Sensors in Analytical Chemistry -- 7.4 General Strategies of Electrochemical Sensor Technology -- 7.5 Current Trends and Future Prospects -- References -- Chapter 8: Electrochemical Sensors in Environmental Analysis -- 8.1 The Importance of Environmental Analysis -- 8.2 General Definitions of Electrochemical (Bio)sensors -- 8.3 Advantages and Disadvantages of Electrochemical Sensors and Their Importance in Environmental Analysis -- 8.3.1 Electrochemical Detection of Polyphenols -- 8.3.2 Electrochemical Detection of Pesticides -- 8.3.3 Electrochemical Detection of Polycyclic Aromatic Hydrocarbons (PAHs) -- 8.3.4 Electrochemical Detection of Heavy Metals -- 8.3.5 Pharmaceuticals -- 8.4 Other Sensor Methods and Non-sensor Laboratory Methods -- 8.4.1 Optical Sensors -- 8.4.2 Surface Plasmon Resonance (SRP) Sensors -- 8.4.3 Chromatographic and Other Spectral Methods -- 8.5 Future Aspects -- References -- Chapter 9: Potentiometric Sensors -- 9.1 Introduction -- 9.1.1 Measurement of Redox Potential -- 9.1.2 The Nernst Equation for Ion-Selective Electrodes -- 9.1.3 Modes of Measurement -- 9.1.3.1 Direct Potentiometry -- 9.1.3.2 Standard Addition After Ionic Strength Adjustment -- 9.1.3.3 Endpoint Detection -- 9.1.4 Selectivity and Detection Limit -- 9.1.5 Response Time of Potentiometric Sensors -- 9.2 Reference Electrodes and Liquid Junction Potentials -- 9.2.1 Reference Electrodes -- 9.2.2 The Diffusion Potential -- 9.2.2.1 The Dilution Junction -- 9.2.2.2 The Henderson Equation -- 9.2.2.3 The Liquid Junction -- 9.2.3 Liquid Junction-Free Reference Electrodes. 9.3 Ion-Selective Electrodes -- 9.3.1 Key Examples of Ion-Selective Electrodes -- 9.3.2 Glass Electrodes -- 9.3.2.1 Liquid Junction Potentials in pH Measurements -- 9.3.3 Solid State Membrane Electrodes -- 9.3.4 Ion-Exchanger Membranes -- 9.3.5 Ion-Selective Membranes Containing Ionophores -- 9.3.5.1 Neutral Ionophores -- 9.3.5.2 Determination of Selectivity Coefficients -- 9.3.6 Electrically Charged Ionophores -- 9.3.7 Selectivity Optimization -- 9.3.8 The ISE Detection Limit -- 9.3.9 Membrane Concentration Changes and Kinetic Detection Limit -- 9.4 Dynamic Electrochemistry with Ion-Selective Electrodes -- References -- Chapter 10: Controlled Potential Techniques in Amperometric Sensing -- 10.1 Galvanic, Potentiometric, and Electrolytic Cells -- 10.2 From the Two-Electrode to the Three-Electrode Cell -- 10.3 Electrode Thermodynamics and Kinetics -- 10.4 Amperometric Techniques -- 10.4.1 Chronoamperometry -- 10.4.2 Voltammetry at Electrode with Periodical Renewal of the Diffusion Layer -- 10.4.3 Rotating Disk Electrode (RDE) Voltammetry -- 10.4.4 Linear Sweep and Cyclic Voltammetry -- 10.4.5 Pulse Techniques -- 10.4.5.1 Differential Pulse Voltammetry (DPV) -- 10.4.5.2 Square Wave Voltammetry (SWV) -- 10.4.6 Stripping Techniques -- 10.4.6.1 Anodic Stripping Voltammetry (ASV) -- 10.4.6.2 Cathodic Stripping Voltammetry (CSV) -- 10.4.6.3 Adsorptive Stripping Voltammetry (AdSV) -- 10.4.6.4 Potentiometric Stripping Analysis (PSA) -- 10.4.7 Electrolysis: Coulometry -- Suggested Fundamental References for Useful Integration -- Chapter 11: Biosensors on Enzymes, Tissues, and Cells -- 11.1 Overview of Biosensors -- 11.2 Immobilization of Bioelements -- 11.3 Biosensors Based on Enzymes -- 11.3.1 Mechanisms -- 11.3.2 Environmental Applications -- 11.3.3 Trends -- 11.4 Biosensors Based on Cells and Tissues -- 11.5 Conclusions and Outlook -- References. Chapter 12: DNA Biosensors -- 12.1 Introduction -- 12.2 Electrochemical DNA Biosensors -- 12.3 Applications of Electrochemical DNA Biosensors -- 12.4 Electrochemical DNA Biosensors for Environmental Analysis -- 12.5 Conclusions and Outlook -- References -- Chapter 13: Immunosensors -- 13.1 Introduction -- 13.2 Immunosensor Technologies -- 13.2.1 Immunoreagents and Assay Formats -- 13.2.2 Electrochemical Transducers -- 13.3 Target Compounds -- 13.3.1 Pesticides -- 13.3.2 Endocrine Disruptors -- 13.3.3 Polyaromatic Hydrocarbons, Organochlorine Compounds and Surfactants (Table13.3) -- 13.3.4 Toxins -- 13.4 Conclusion and Future Prospects -- References -- Chapter 14: Other Types of Sensors: Impedance-Based Sensors, FET Sensors, Acoustic Sensors -- 14.1 Introduction -- 14.2 Sensors Based on Impedance -- 14.2.1 Fundamentals of Electrochemical Impedance -- 14.2.2 Model of the Electrochemical Cell and Electrical Equivalent Circuits -- 14.2.3 Characterisation of Sensors Using Electrochemical Impedance -- 14.2.4 Applications of Electrochemical Impedance Spectroscopy in Analysis -- 14.3 Solid-State Miniaturised Sensors -- 14.3.1 Electrolyte-Insulator-Semiconductor-Based Sensors -- 14.3.1.1 ISFETs and ChemFETs -- 14.3.1.2 Light-Addressable Potentiometric Sensors (LAPS) -- 14.3.1.3 Capacitive Sensors -- 14.3.2 Chemiresistors -- 14.4 Piezoelectric Transducer-Based Sensors -- 14.4.1 Quartz Crystal Microbalance (QCM) -- 14.4.2 Surface Acoustic Wave (SAW) Sensors -- 14.5 Conclusions -- References -- Part III: Sensor Electrodes and Practical Concepts -- Chapter 15: From Macroelectrodes to Microelectrodes: Theory and Electrode Properties -- 15.1 Introduction -- 15.2 Mass Transport and Electrode Geometry -- 15.3 Diffusion Equations and Current Responses -- 15.3.1 Application of a Potential Step -- 15.3.2 Linear Sweep (LSV) and Cyclic Voltammetry (CV). 15.4 Diffusion at MEs. This book presents an exhaustive overview of electrochemical sensors and biosensors for the analysis and monitoring of the most important analytes in the environmental field, in industry, in treatment plants and in environmental research. The chapters give the reader a comprehensive, state-of-the-art picture of the field of electrochemical sensors suitable to environmental analytes, from the theoretical principles of their design to their implementation, realization and application. The first three chapters discuss fundamentals, and the last three chapters cover the main groups of analytes of environmental interest. EBL201708 Chemical Physics and Chemistry SzGeCERN EBL Biosensors EBL Electrochemical analysis EBL Electrochemical sensors EBL Environmental chemistry BOOK Kalcher, Kurt https://cds.cern.ch/auth.py?r=EBLIB_P_1968046 ebook n 201732 201708 21 PUBLIC BOOK DELETED 2279045 SzGeCERN 20200503231949.0 9783662445617 electronic version electronic version 9783662445617 print version 9783662445624 electronic version electronic version oai:cds.cern.ch:2279045 cerncds:BOOK EBL 1966096 eng QD1-999 541.394 Turányi, Tamás Analysis of kinetic reaction mechanisms Berlin Springer 2014 369 p ebook Contents -- Chapter 1: Introduction -- References -- Chapter 2: Reaction Kinetics Basics -- 2.1 Stoichiometry and Reaction Rate -- 2.1.1 Reaction Stoichiometry -- 2.1.2 Molecularity of an Elementary Reaction -- 2.1.3 Mass Action Kinetics and Chemical Rate Equations -- 2.1.4 Examples -- 2.2 Parameterising Rate Coefficients -- 2.2.1 Temperature Dependence of Rate Coefficients -- 2.2.2 Pressure Dependence of Rate Coefficients -- 2.2.3 Reversible Reaction Steps -- 2.3 Basic Simplification Principles in Reaction Kinetics -- 2.3.1 The Pool Chemical Approximation -- 2.3.2 The Pre-equilibrium Approximation -- 2.3.3 Rate-Determining Step -- 2.3.4 The Quasi-Steady-State Approximation (QSSA) -- 2.3.5 Conserved Properties -- 2.3.6 Lumping of Reaction Steps -- References -- Chapter 3: Mechanism Construction and the Sources of Data -- 3.1 Automatic Mechanism Generation -- 3.2 Data Sources -- References -- Chapter 4: Reaction Pathway Analysis -- 4.1 Species Conversion Pathways -- 4.2 Pathways Leading to the Consumption or Production of a Species -- References -- Chapter 5: Sensitivity and Uncertainty Analyses -- 5.1 Introduction -- 5.2 Local Sensitivity Analysis -- 5.2.1 Basic Equations -- 5.2.2 The Brute Force Method -- 5.2.3 The Green Function Method -- 5.2.4 The Decoupled Direct Method -- 5.2.5 Automatic Differentiation -- 5.2.6 Application to Oscillating Systems -- 5.3 Principal Component Analysis of the Sensitivity Matrix -- 5.4 Local Uncertainty Analysis -- 5.5 Global Uncertainty Analysis -- 5.5.1 Morris Screening Method -- 5.5.2 Global Uncertainty Analysis Using Sampling-Based Methods -- 5.5.3 Sensitivity Indices -- 5.5.4 Fourier Amplitude Sensitivity Test -- 5.5.5 Response Surface Methods -- 5.5.5.1 Gaussian Process Emulator Methods -- 5.5.5.2 Polynomial Chaos Expansion Methods -- 5.5.5.3 High-Dimensional Model Representation Methods. 5.5.6 Moment-Independent Global Sensitivity Analysis Methods -- 5.6 Uncertainty Analysis of Gas Kinetic Models -- 5.6.1 Uncertainty of the Rate Coefficients -- 5.6.2 Characterisation of the Uncertainty of the Arrhenius Parameters -- 5.6.3 Local Uncertainty Analysis of Reaction Kinetic Models -- 5.6.4 Examples of the Application of Uncertainty Analysis to Methane Flame Models -- 5.6.5 Applications of Response Surface Techniques to Uncertainty Analysis in Gas Kinetic Models -- 5.6.6 Handling Correlated Inputs Within Global Uncertainty and Sensitivity Studies -- 5.7 Uncertainty Analysis in Systems Biology -- Uncertainty Analysis: General Conclusions -- References -- Chapter 6: Timescale Analysis -- 6.1 Introduction -- 6.2 Species Lifetimes and Timescales -- 6.3 Application of Perturbation Theory to Chemical Kinetic Systems -- 6.4 Computational Singular Perturbation Theory -- 6.5 Slow Manifolds in the Space of Variables -- 6.6 Timescales in Reactive Flow Models -- 6.7 Stiffness of Reaction Kinetic Models -- 6.8 Operator Splitting and Stiffness -- References -- Chapter 7: Reduction of Reaction Mechanisms -- 7.1 Introduction -- 7.2 Reaction Rate and Jacobian-Based Methods for Species Removal -- 7.2.1 Species Removal via the Inspection of Rates -- 7.2.2 Species Elimination via Trial and Error -- 7.2.3 Connectivity Method: Connections Between the Species Defined by the Jacobian -- 7.2.4 Simulation Error Minimization Connectivity Method -- 7.3 Identification of Redundant Reaction Steps Using Rate-of-Production and Sensitivity Methods -- 7.4 Identification of Redundant Reaction Steps Based on Entropy Production -- 7.5 Graph-Based Methods -- 7.5.1 Directed Relation Graph Method -- 7.5.2 DRG-Aided Sensitivity Analysis -- 7.5.3 DRG with Error Propagation -- 7.5.4 The Path Flux Analysis Method -- 7.5.5 Comparison of Methods for Species Elimination. 7.6 Optimisation Approaches -- 7.6.1 Integer Programming Methods -- 7.6.2 Genetic Algorithm-Based Methods -- 7.6.3 Optimisation of Reduced Models to Experimental Data -- 7.6.4 Application to Oscillatory Systems -- 7.7 Species Lumping -- 7.7.1 Chemical Lumping -- 7.7.2 Linear Lumping -- 7.7.3 Linear Lumping in Systems with Timescale Separation -- 7.7.4 General Nonlinear Methods -- 7.7.5 Approximate Nonlinear Lumping in Systems with Timescale Separation -- 7.7.6 Continuous Lumping -- 7.7.7 The Application of Lumping to Biological and Biochemical Systems -- 7.8 The Quasi-Steady-State Approximation -- 7.8.1 Basic Equations -- 7.8.2 Historical Context -- 7.8.3 The Analysis of Errors -- 7.8.4 Further Recent Approaches to the Selection of QSS-Species -- 7.8.5 Application of the QSSA in Spatially Distributed Systems -- 7.8.6 Practical Applications of the QSSA -- 7.9 CSP-Based Mechanism Reduction -- 7.10 Numerical Reduced Models Derived from the Rate Equations of the Detailed Model -- 7.10.1 Slow Manifold Methods -- 7.10.2 Intrinsic Low-Dimensional Manifolds -- 7.10.3 Application of ILDM Methods in Reaction Diffusion Systems -- 7.10.4 Thermodynamic Approaches for the Calculation of Manifolds -- 7.11 Numerical Reduced Models Based on Geometric Approaches -- 7.11.1 Calculation of Slow Invariant Manifolds -- 7.11.2 The Minimal Entropy Production Trajectory Method -- 7.11.3 Calculation of Temporal Concentration Changes Based on the Self-Similarity of the Concentration Curves -- 7.12 Tabulation Approaches -- 7.12.1 The Use of Look-Up Tables -- 7.12.2 In Situ Tabulation -- 7.12.3 Controlling Errors and the Invariant Constrained Equilibrium Pre-image Curve (ICE-PIC) Method -- 7.12.4 Flamelet-Generated Manifolds -- 7.13 Numerical Reduced Models Based on Fitting -- 7.13.1 Calculation of Temporal Concentration Changes Using Difference Equations. 7.13.2 Calculation of Concentration Changes by Assuming the Presence of Slow Manifolds -- 7.13.3 Fitting Polynomials Using Factorial Design -- 7.13.4 Fitting Polynomials Using Taylor Expansions -- 7.13.5 Orthonormal Polynomial Fitting Methods -- 7.13.6 High-Dimensional Model Representations -- 7.13.7 Artificial Neural Networks -- 7.13.8 Piecewise Reusable Maps (PRISM) -- 7.14 Adaptive Reduced Mechanisms -- References -- Chapter 8: Similarity of Sensitivity Functions -- 8.1 Introduction and Basic Definitions -- 8.2 The Origins of Local Similarity and Scaling Relationships -- 8.3 The Origin of Global Similarity -- 8.4 Similarity of the Sensitivity Functions of Biological Models -- 8.5 The Importance of the Similarity of Sensitivity Functions -- References -- Chapter 9: Computer Codes for the Study of Complex Reaction Systems -- 9.1 General Simulation Codes in Reaction Kinetics -- 9.2 Simulation of Gas Kinetics Systems -- 9.3 Analysis of Reaction Mechanisms -- 9.4 Investigation of Biological Reaction Kinetic Systems -- 9.5 Global Uncertainty Analysis -- References -- Chapter 10: Summary and Concluding Remarks -- Index. Chemical processes in many fields of science and technology, including combustion, atmospheric chemistry, environmental modelling, process engineering, and systems biology, can be described by detailed reaction mechanisms consisting of numerous reaction steps. This book describes methods for the analysis of reaction mechanisms that are applicable in all these fields. Topics addressed include: how sensitivity and uncertainty analyses allow the calculation of the overall uncertainty of simulation results and the identification of the most important input parameters, the ways in which mechanisms can be reduced without losing important kinetic and dynamic detail, and the application of reduced models for more accurate engineering optimizations. This monograph is invaluable for researchers and engineers dealing with detailed reaction mechanisms, but is also useful for graduate students of related courses in chemistry, mechanical engineering, energy and environmental science and biology. EBL201708 Chemical Physics and Chemistry SzGeCERN EBL Chemical kinetics -- Mathematical models BOOK Tomlin, Alison S https://cds.cern.ch/auth.py?r=EBLIB_P_1966096 ebook n 201732 201708 21 PUBLIC BOOK DELETED 2279042 SzGeCERN 20210421210648.0 9783319113876 electronic version electronic version 9783319113876 print version 9783319113883 electronic version electronic version oai:cds.cern.ch:2279042 cerncds:BOOK EBL 1965437 eng GB3-5030 523.4 Malcuit, Robert J The twin sister planets Venus and Earth why are they so different? Cham Springer 2014 413 p ebook Preface -- Acknowledgements -- Contents -- Chapter 1 -- Introduction -- 1.1 The Scientific Method -- 1.2 Some Special Features of Earth as a Planet -- 1.3 Some Special Features of Venus as a Planet -- References -- Chapter 2 -- The Origin of the Sun and the Early Evolution of the Solar System -- 2.1 List of Some Important Facts to be Explained by a Successful Model -- 2.2 A Composite Working Model for Origin and Evolution of the Solar System -- Summary -- References -- Chapter 3 -- Models for the Origin and Evolution of the Earth-Moon System -- 3.1 List of Facts to be Explained by a Successful Model -- 3.2 Fission from the Earth Early in Earth History -- 3.3 Co-formation of the Earth and Moon from the Same Cloud of Dust and Gas -- 3.4 Intact Capture of the Moon by the Earth (1952-1986) -- 3.5 Other Recent Attempts at Intact Capture -- 3.6 Orbital Traceback Models Suggesting Intact Capture -- 3.7 More on the Singer (1968) Model of Prograde Capture -- 3.8 Disintegrative Capture Models -- 3.9 A Miltiple-Small-Moon Model -- 3.10 A New (Post-Kona) View of the Intact Capture Process -- 3.11 Formation of the Moon Resulting from a Giant Impact Early in Earth History -- 3.11.1 The Angular Momentum Problem of the Earth-Moon System -- 3.11.2 The Oxygen Isotope Similarities Between Earth and Moon -- 3.11.3 The Mass and Density of the Moon -- 3.12 A Report Card for Models of Lunar Origin -- References -- Chapter 4 -- A Prograde Gravitational Capture Model for the Origin and Evolution of the Earth-Moon System -- 4.1 Place of Origin for Luna and Sibling Planetoids and a Model for Magnetization of the Crust of Luna and Sibling Vulcanoid Planetoids -- 4.2 Migration History of Luna and Sibling Vulcanoid Planetoids -- 4.2.1 Stability of Vulcanoid Planetoid Orbits -- 4.2.2 Transfer of Vulcanoid Planetoids from Orbits of Origin to Venus-Earth Space. 4.2.3 Summary for the Transfer Scheme -- 4.3 Prograde Gravitational Capture of Luna and the Subsequent Orbit Circularization: Two-Body Analysis and a Discussion of the Paradoxes Associated with the Capture Process -- 4.4 Numerical Simulations of Gravitational Capture of a Lunar-Like Body by an Earth-Like Planet -- 4.4.1 Computer Code Information -- 4.4.2 Development of the Computer Code -- 4.4.3 A Sequence of Typical Orbital Encounter Scenarios Leading to a Stable Capture Scenario -- 4.4.4 Geometry of Stable Capture Zones for Planetoids Being Captured by Planets -- 4.4.5 The Post-Capture Orbit Circularization Calculation -- 4.4.6 A Qualitative Model for Generation of a Mare-Age Lunar Magnetic Field -- 4.4.7 Subsequent Orbit Expansion due to Angular Momentum Exchange between the Rotating Earth and the Lunar Orbit -- 4.5 Summary and Statement of the Fourth Paradox -- 4.6 Summary and Conclusions for the Chapter -- Appendix -- References -- Chapter 5 -- Some Critical Interpretations and Misinterpretations of Lunar Features -- 5.1 Discussion of Some Speculations of Harold Urey and Zdenek Kopal -- 5.2 Vignette A. Critique of the "Commandments" for Interpretation of Lunar Surface Features -- 5.2.1 Purpose -- 5.2.2 Dedication of this Section of the Chapter -- 5.2.3 The Scientific Method and its Application to this Particular Problem -- 5.2.3.1 Step A: Some Facts to be Explained by a Successful Hypothesis for the Origin of Certain Lunar Features -- 5.2.3.2 Step B: The Hypothesis to be Tested: Tidal Disruption on the 18th Perigee Passage of a Stable Capture Scenario -- 5.2.3.3 STEP C: Critique of the "Commandments" as a Prelude to Testing of the Hypothesis -- 5.2.3.4 STEP D: Some Testable Predictions for the Model -- 5.2.4 Summary and Conclusions. 5.3 Vignette B. Directional Properties of "Circular" Lunar Maria and Related Structures: Interpretation in the Context of a Testable Gravitational Capture Model for Lunar Origin -- 5.3.1 Purpose -- 5.3.2 A Cursory Survey of Circular Maria and Some Mare-filled Craters -- 5.3.3 Summary of Observations -- 5.3.4 Examination of Models that can be Tested for an Explanation of the Directional Properties of the Circular Maria -- 5.3.4.1 The Random Impact Model (Wilhelms 1987) -- 5.3.4.2 Tidal Disruption of a Passing Body Model (Hartmann 1977a) -- 5.3.4.3 Impact of a Swarm of Bodies Due to a Tidally Disruptive Encounter with Either Venus or Earth (Wetherill 1981) -- 5.3.4.4 Impact of a Swarm of Bodies from the Asteroid Zone (Nash 1963) -- 5.3.4.5 Impact of Lunar Satellites Model (Runcorn 1983 Conway 1986) -- 5.3.4.6 Tidal Disruption of the Lunar Body and Subsequent Fallback Model During a Close Encounter with Earth (Malcuit et al. 1975) -- 5.3.5 Some Testable Features of a Tidal Disruption Scenario That can be Analyzed on Future Mission to the Moon -- 5.3.6 Major Predictions from the Tidal Disruption Model for the Formation of Some Lunar Features -- 5.3.7 Discussion of the Predictions -- 5.3.8 An Epilogue to This Section on "Directional Properties of Lunar Maria" -- 5.4 Vignette C. On the Origin of Lunar Maria and Mascons: The Case for a One-body, Isostatic Equilibrium Model Revisited -- 5.4.1 Purpose -- 5.4.2 Some Special Features of Large Circular Maria and Associated Mascons -- 5.4.3 Some Previously Proposed Models for Mascons -- 5.4.4 A Soft-Body Impact Model for Mascons -- 5.4.5 Some Predictions from the Soft-Body Model for the Formation of Circular Maria and Mascons -- 5.4.6 Summary -- 5.5 Vignette D. The Late Heavy Bombardment of Earth, Moon, and Other Bodies: Fact or Fiction? -- 5.5.1 Purpose. 5.5.2 Some Facts to be Explained and Questions to be Answered by a Successful Model -- 5.5.3 A Series of Quotes, Mainly in Chronological Order, Concerning Unusual Events on the Moon (and Earth) Between 4.0 and 3.5 Billion Years Ago -- 5.5.4 Some Quotes on the Concept of the "LATE HEAVY BOMBARDMENT" from 1974 up to 2007 -- 5.5.5 View of the Late Heavy Bombardment in 2006 -- 5.5.6 Review of the Situation of the Late Heavy Bombardment in 2007 -- 5.5.7 Summary -- 5.6 Vignette E. A Cool Early Earth, Recycled Enriched Crust at ~ 3.95 Ga, and the Subduction Mechanisms Associated with a Tidal Capture Model for the Origin of the Earth-Moon System -- 5.6.1 Purpose -- 5.6.2 Evidence for a Cool Early Earth -- 5.6.3 The Bedard (2006) Model for Processing a Basaltic Crust on a Stagnant-Lid Planet -- 5.6.4 A Unidirectional Earth-Tide Recycling Mechanism Commencing with the Capture Encounter at ~ 3.95 Ga -- 5.6.5 A Proposed Mechanism for Recycling an Enriched Primitive Crust in the Broadly Defined Equatorial Zone of the Planet Beginning ~ 3.95 Ga -- 5.6.6 Summary -- 5.6.7 Discussion -- 5.7 Vignette F. On the Origin of Earth's Oceans of Water -- 5.7.1 Some Facts to be Explained by a Successful Model for the Origin of Water on Earth and Neighboring Planets -- 5.7.2 The Asteroidal Source of Water as Proposed by Albarede (2009) -- 5.7.3 A Proposed Delivery Mechanism for the Water-Bearing Asteroids -- 5.7.4 Summary and Conclusions -- 5.7.5 Discussion -- 5.8 Discussion of the Speculations by Harold Urey and Zdenek Kopal -- 5.9 Summary Statement -- Appendix -- The "Cool Early Earth" Vignette (Sect. 5.6.) -- References -- Lunar Geologic Maps Cited -- Lunar Charts Cited -- Chapter 6 -- Origin and Evolution of the Venus-Adonis System: A Retrograde Gravitational Capture Model -- 6.1 Origin of the Concept of Retrograde Capture of a Lunar-Like Body by Planet Venus. 6.2 Some Facts to be Explained by a Successful Model -- 6.3 Place of Origin of Adonis and Sibling Planetoids and the Original Rotation Rate of Planet Venus -- 6.4 Migration History of Adonis and Sibling Planetoids -- 6.5 Gravitational Capture of Adonis and the Subsequent Orbit Circularization-A Two-Body Analysis -- 6.5.1 Retrograde Capture of a 0.5 Moon-Mass Planetoid from a Co-Planar, Venus-Like Orbit -- 6.5.2 Post-Capture Orbit Circularization Era -- 6.5.3 Circular Orbit Evolution -- 6.6 Numerical Simulations of Retrograde Planetoid Capture for Venus and a 0.5 Moon-Mass Planetoid -- 6.6.1 Coordinate System for Plotting the Results -- 6.6.2 A Sequence of Orbital Encounter Scenarios Leading to Stable Retrograde Capture -- 6.6.3 Post-Capture Orbit Circularization Era -- 6.6.4 Sequence of Diagrams Showing the Possible Surface and Interior Effects on Planet Venus for Retrograde Capture of Adonis and Subsequent Orbit Circularization -- 6.6.5 Diagrams Showing Possible Surface Effects During the Circular Orbit Era -- 6.6.6 Summary and Commentary on Conditions during this 3.0 Billion Year Era -- 6.6.7 A Model for the Final Demise of Adonis from the Roche Limit for a Solid Body to Breakup in Orbit and Eventual Coalescense with Planet Venus -- 6.7 Summary for the Chapter -- References -- Chapter 7 -- A Retrograde Gravitational Capture Model for the Earth-Moon System -- 7.1 An Alternate Reality Scenario That May Yield Some Insights on the Habitability of Terrestrial Planets -- 7.2 Purpose -- 7.3 Overview of a Retrograde Capture Scenario for Earth: A Two-Body Analysis -- 7.4 Numerical Simulations of Retrograde Planetoid Capture for Earth and a Moon-Mass Planetoid and the Subsequent Circularization of the Post-Capture Orbit -- 7.5 Circular Orbit Era -- 7.6 Late Phase of the Circular Orbit Evolution Era. 7.7 Summary for the Retrograde Capture and Subsequent Orbital Evolution of an Earth-Like Planet and a Lunar-Mass Satellite System. This book explains how it came to be that Venus and Earth, while very similar in chemical composition, zonation, size and heliocentric distance from the Sun, are very different in surface environmental conditions. It is argued here that these differences can be accounted for by planetoid capture processes and the subsequent evolution of the planet-satellite system. Venus captured a one-half moon-mass planetoid early in its history in the retrograde direction and underwent its "fatal attraction scenario" with its satellite (Adonis). Earth, on the other hand, captured a moon-mass planetoid (Luna) early in its history in prograde orbit and underwent a benign estrangement scenario with its captured satellite. EBL201708 Astrophysics and Astronomy SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1965437 ebook n 201732 201708 21 PUBLIC https://catalogue.library.cern/legacy/2279042 BOOK MIGRATED 2279038 SzGeCERN 20200503231949.0 9783319109985 electronic version electronic version 9783319109985 print version 9783319109992 electronic version electronic version oai:cds.cern.ch:2279038 cerncds:BOOK EBL 1965291 eng QD1-999 541.395 Hernández-Ramírez, Aracely Photocatalytic semiconductors synthesis, characterization, and environmental applications Cham Springer 2014 298 p ebook Preface -- Acknowledgments -- Contents -- Chapter 1: Semiconducting Materials -- 1.1 Fundamentals -- 1.1.1 Band Structures -- 1.1.2 Intrinsic and Extrinsic Semiconductors -- 1.1.3 Band Edge Positions and Band Gaps -- 1.1.4 Semiconductors for Photocatalysis -- 1.1.5 Mechanism of the Photocatalytic Process -- 1.2 Photocatalytic Semiconductors: Classification -- 1.2.1 Metal Oxides -- 1.2.2 Chalcogenides: Other than Oxides -- 1.2.3 Ternary Compounds -- 1.2.4 Quaternary Compounds -- 1.3 Advantages and Disadvantages in the Use of Titanium Dioxide (TiO2) as Photocatalytic Semiconductor -- 1.3.1 Visible Light Active TiO2-NM (NM=Nonmetal) -- 1.3.1.1 Nitrogen-Doped TiO2 -- 1.3.1.2 Carbon-Doped Titanium Dioxide Materials -- 1.3.1.3 Fluorine-Doped Titanium Dioxide Materials -- 1.3.1.4 Boron-Doped Titanium Dioxide Materials -- Concluding Remarks -- References -- Chapter 2: New Visible-Light Active Semiconductors -- 2.1 Ion-Doped Semiconductors (M+=Transition Metal Ion) -- 2.2 Nonmetal-Doped Materials -- 2.3 Dye-Sensitized Semiconductor -- 2.4 Coupled Semiconductors -- 2.5 Nanostructured Semiconductors: Effect of Size and Composition -- Concluding Remarks -- References -- Chapter 3: Synthesis Methods for Photocatalytic Materials -- 3.1 Sol-Gel Process -- 3.2 Hydrothermal Method -- 3.3 Solvothermal Technique -- 3.4 Direct Oxidation Method -- 3.5 Sonochemical Method -- 3.6 Microwave Method -- 3.7 Chemical Vapor Deposition -- 3.8 Physical Vapor Deposition (PVD) -- 3.9 Electrochemical Deposition -- Concluding Remarks -- References -- Chapter 4: Physicochemical Characterization of Photocatalytic Materials -- 4.1 Elemental Composition -- 4.1.1 Ion Beam Methods -- 4.1.1.1 Rutherford Backscattering Spectroscopy, RBS -- 4.1.1.2 Elastic Recoil Detection Analysis, ERDA -- 4.1.1.3 Particle-Induced X-Ray Emission or Proton-Induced X-Ray Emission PIXE. 4.1.1.4 Secondary Ion Mass Spectrometry, SIMS -- 4.1.2 Electron Beam Methods -- 4.1.2.1 X-Ray Emission Spectroscopy, XES -- 4.1.2.2 Electron Energy Loss Spectroscopy, EELS -- 4.1.2.3 Auger Electron Spectroscopy, AES -- 4.1.3 X-Ray Beam Methods -- 4.1.3.1 X-Ray Photoelectron Spectroscopy, XPS -- 4.1.3.2 X-Ray Absorption Spectroscopy, XAS -- 4.1.4 Examples -- 4.2 Structure and Topography -- 4.2.1 Structure -- 4.2.1.1 X-Ray Diffraction, XRD -- 4.2.1.2 Transmission Electron Microscopy, TEM -- 4.2.2 Surface Topography -- 4.2.2.1 Contact Techniques -- 4.2.2.2 Non-contact Techniques -- 4.2.3 Examples -- 4.3 Surface Area and Porosity -- 4.3.1 Gas Adsorption -- 4.3.2 Mercury Porosimetry -- 4.3.3 Dynamic Light Scattering -- 4.3.4 Examples -- 4.4 Vibrational Spectroscopies -- 4.4.1 Fourier Transform Infrared Spectroscopy, FTIR -- 4.4.2 Raman Spectroscopy -- 4.4.3 Examples -- 4.5 Optical Properties -- 4.5.1 Transmission and Reflection -- 4.5.2 Diffuse Reflectance -- 4.5.3 Spectroscopic Ellipsometry -- 4.5.4 Photoluminescence (PL) Spectroscopy -- 4.5.5 Other Methods -- 4.5.6 Examples -- Concluding Remarks -- References -- Chapter 5: Electrochemical Characterization of Photocatalytic Materials -- 5.1 Characterization of Thermodynamic Properties in the Semiconductor-Electrolyte Interface Using Electrochemical Techniques -- 5.1.1 The Double Layer at Semiconductor -- 5.1.2 The Flat-Band Potential -- 5.1.3 Light Pulse Techniques -- 5.1.4 Electrochemical Determination of the VFb of Particles in Suspension -- 5.1.5 The Band Gap Energy -- 5.1.6 Fermi Level -- 5.2 Characterization of Kinetic Properties in the Semiconductor-Electrolyte Interface Using Electrochemical Techniques -- 5.2.1 Separation of Transport, Charge Storage, and Reaction Elements in Nanostructured Oxide Semiconductor Electrodes. 5.2.2 Interparticle Electron Transport Through Semiconductor Nanostructured Films -- 5.3 Determination of Photocatalytic Efficiency of Semiconductor-Electrolyte Interface Using Electrochemical Techniques -- 5.3.1 Monochromatic Quantum Efficiency -- 5.3.2 Photochemical Thermodynamic Efficiency Factor (PTEF) -- 5.3.3 Relative Photonic Efficiency (xir) -- 5.3.4 Quantum Yield (Phi) -- Concluding Remarks -- References -- Chapter 6: Semiconductor Materials for Photocatalytic Oxidation of Organic Pollutants in Wastewater -- 6.1 Introduction -- 6.2 Photocatalytic Degradation of Organic Compounds in the Presence of TiO2 Catalyst -- 6.3 Degradation of Organic Pollutants in the Presence of TiO2 or ZnO Doped with Metals -- 6.4 TiO2 Doped with Nonmetals for the Degradation of Organic Pollutants -- 6.5 Coupling Two Semiconductor Systems for the Removal of Organic Pollutants -- 6.6 Photocatalytic Degradation of Organic Pollutants in the Presence of Other Semiconductors -- Concluding Remarks -- References -- Chapter 7: Application of Semiconductor Photocatalytic Materials for the Removal of Inorganic Compounds from Wastewater -- 7.1 Cyanides -- 7.2 Removal of Heavy Metals and Metalloids -- 7.2.1 Arsenic -- 7.2.2 Chromium -- 7.2.2.1 Photocatalytic Reduction of Cr(VI) with TiO2-Based Semiconductors -- 7.2.2.2 Photocatalytic Reduction of Cr(VI) with ZnO and Other Semiconductors -- Concluding Remarks -- References -- Chapter 8: Photocatalytic Materials in Water Disinfection -- 8.1 Process for Water Disinfection -- 8.1.1 Electrochemical Disinfection Processes -- 8.1.2 Photocatalytic Disinfection Processes -- 8.2 Photocatalytic Reactor: Configurations for Water Disinfection -- 8.2.1 State of the Photocatalyst -- 8.2.2 Visible Light-Absorbing Semiconductors -- 8.2.3 Reactor Design and Engineering of Photocatalytic Units -- 8.3 Efficiency of Photocatalytic Materials. 8.3.1 Photocatalytic Thermodynamic Efficiency Factor (PTEF) for Oxidation-Reduction -- 8.3.2 Inactivation Apparent Quantum Yield (IQY) -- 8.4 Based Materials Used for Water Disinfection -- Concluding Remarks -- References -- Chapter 9: Future and Perspectives for Photocatalytic Materials in Environmental Photocatalysis -- 9.1 Economic Aspects in the Production and Application of Photocatalytic Materials -- 9.2 Toxicological and Environmental Impacts of the Use of Photocatalytic Materials -- Concluding Remarks -- References -- Index. This critical volume examines the different methods used for the synthesis of a great number of photocatalysts, including TiO2, ZnO and other modified semiconductors, as well as characterization techniques used for determining the optical, structural and morphological properties of the semiconducting materials. Additionally, the authors discuss photoelectrochemical methods for determining the light activity of the photocatalytic semiconductors by means of measurement of properties such as band gap energy, flat band potential and kinetics of hole and electron transfer. Photocatalytic Semiconductors: Synthesis, Characterization and Environmental Applications provide an overview of the semiconductor materials from first- to third-generation photocatalysts and their applications in wastewater treatment and water disinfection. The book further presents economic and toxicological aspects in the production and application of photocatalytic materials. EBL201708 Chemical Physics and Chemistry SzGeCERN EBL Photocatalysis BOOK Medina-Ramírez, Iliana https://cds.cern.ch/auth.py?r=EBLIB_P_1965291 ebook n 201732 201708 21 PUBLIC BOOK DELETED 2278948 SzGeCERN 20180515232350.0 9780128007969 electronic version 9780128000281 electronic version EBL 1882921 eng R856 -- .C53 2015eb 610.284 Ogrodnik, Peter J Class 1 devices case studies in medical devices design San Diego, CA Elsevier Science 2014 115 p Cover -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgements -- Chapter 1 - Introduction -- 1.1 - Reminder concerning classification -- 1.2 - A reminder concerning the importance of design rigour (or design control) -- 1.3 - A reminder concerning understanding the problem -- 1.4 - A reminder concerning a team/holistic approach -- 1.5 - A reminder concerning costs -- 1.6 - Introduction to the case studies -- Case Study: The OTC Joint Support -- Case Study: Surgical Wire Cutters -- Case Study: Orthopaedic Cast -- 1.6.1 - Comments Concerning the Case Studies -- 1.7 - Hints to enable you to understand the text -- Chapter 2 - Classification -- 2.1 - Introduction -- 2.1.1 - Timing -- 2.2 - FDA classification -- 2.2.1 - Keywords -- 2.3 - EU MDD classification -- 2.4 - Your turn -- Chapter 3 - Taking the Design from Idea to PDS -- 3.1 - Introduction -- 3.2 - Developing the specification -- 3.2.1 - The Need -- 3.2.2 - The PDS -- 3.2.3 - Customer Section -- 3.2.4 - Regulatory and Statutory Section -- 3.2.5 - Technical Section and Performance Section -- 3.2.6 - Sales Section -- 3.2.7 - Manufacturing Section -- 3.2.8 - Packaging and Transportation Section -- 3.2.9 - Environmental Section -- Chapter 4 - Conceptual Phase -- 4.1 - A reminder about space -- 4.2 - The relationship with your product design specification (PDS) -- 4.3 - Solution selection -- 4.3.1 - Initial Screening (optional) -- 4.3.2 - Detailed Selection (Essential) -- 4.4 - Summary -- Chapter 5 - Embodiment Phase -- 5.1 - A reminder about this phase -- 5.2 - Initial embodiment - or first prototype phase -- 5.2.1 - Detailed Drawings and Specifications of Components -- 5.2.2 - Calculations/Simulations Demonstrating Performance and Quality in Design -- 5.2.2.1 - FMEA -- 5.2.2.2 - Optimisation -- 5.2.2.3 - Design for X -- 5.2.2.4 - Validation and Verification. 5.2.2.5 - Design for Manufacture -- 5.3 - Prototype to final design -- 5.3.1 - Link Between this Stage and the Previous Stage -- 5.3.2 - Detailed Drawings and Specifications -- 5.3.2.1 - A Reminder About Logging Modifications -- 5.3.2.2 - Transition from FMEA to Risk Analysis (RA) -- 5.3.2.3 - Essential Requirements (Especially for EU) -- 5.3.2.4 - Validation, Verification and Clinical Evaluation -- 5.3.2.5 - IFUs, Labelling, Other Instructions and Markings -- 5.4 - Summary -- Chapter 6 - The Home Run -- 6.1 - A summary of activity -- 6.2 - The technical file -- 6.3 - A note about manufacturing -- 6.4 - A note about post market surveillance (PMS) -- 6.5 - The final furlong -- 6.5.1 - EU -- 6.5.2 - FDA -- 6.6 - Continual improvement -- References -- I - Essential Requirements -- I - General requirements -- II - Requirements regarding design and construction. The Case Studies in Medical Devices Design series consists of practical, applied case studies relating to medical device design in industry. These titles complement Ogrodnik's Medical Device Design and will assist engineers with applying the theory in practice. The case studies presented directly relate to Class I, Class IIa, Class IIb and Class III medical devices. Designers and companies who wish to extend their knowledge in a specific discipline related to their respective class of operation will find any or all of these titles a great addition to their library. Class 1 Devices is a companion text to Medical Devices Design: Innovation from Concept to Market. The intention of this book, and its sister books in the series, is to support the concepts presented in Medical Devices Design through case studies. In the context of this book the case studies consider Class I (EU) and 510(k) exempt (FDA) . This book covers classifications, the conceptual and embodiment phase, plus design from idea to PDS. These titles will assist anyone who is working in the medical devices industry or who is studying biomedical subject areas to design a successful medical device and avoid repeating past mistakes. Written by an experienced medical device engineer and entrepreneur, with real world experience of developing and commercializing medical products. Joins up theory and practice in an accessible style. 9780128000281 print version oai:cds.cern.ch:2278948 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1882921 ebook ebook EBL201708 Health Physics and Radiation Effects SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2278938 SzGeCERN 20191106223625.0 9783319086620 electronic version electronic version 9783319086620 print version 9783319086637 electronic version electronic version oai:cds.cern.ch:2278938 cerncds:BOOK EBL 1802696 eng HF4999.2-6182 004.678 Mohapatra, Sanjay Cloud computing and ROI a new framework for it strategy Cham Springer 2014 228 p ebook Management for professionals Preface -- Content of the Book -- Audience -- Notes for Faculty -- Acknowledgements -- Contents -- Chapter 1: Introduction -- Introduction -- Organization Life Cycle -- External/Macro-economic Factors -- Internal/Micro-economic Factors -- Stages of OLC -- Organization Process and Its Characteristics -- Business Model -- Innovation and Business Model -- Critical Success Factors: Identifying What Really Matters for Success -- Work Flow -- Advantages of Workflow Chart -- Benchmarking -- Benchmarking Steps -- Benchmarking Parameters -- Summary -- Review Questions -- Assignments -- Chapter 2: Understanding IT Strategy -- Introduction -- VMG (Vision, Mission and Goal) Framework -- Vision -- Mission -- Goal -- Characteristics of Goals: Goals Should Be SMART -- VMG Framework -- IT Strategy and Business -- Major Components of IT Strategy -- Business Purpose -- A New Strategic Mindset -- Generally Upgrade of Infrastructure Depends On -- Holistic Approach -- Approach to Green IT -- Globalization -- IT Strategy Implementation -- Starting Questions -- Implementation Approach -- Summary -- Review Questions -- Assignments -- Chapter 3: Cloud Computing and Social Commerce -- Introduction -- It's Time to Say Goodbye to Hardware -- Cloud Computing: Opportunities Ahead -- Is Cloud Computing for You? -- Big Steps Taken by Small Companies -- How Big Organizations Gel with Cloud Computing? -- Cloud Computing: Myth or Reality -- Are You Ready for the Cloud? -- Security Strategy Roadmap for Cloud Computing -- Social Commerce -- Social Power and Civilization -- Understanding Social Commerce -- How Has Social Commerce Evolved Over a Period of Time? -- Features of Social Commerce -- The Facebook "Like" Button on the Product's Web Page -- Advantages of Social Commerce -- Pitfalls -- Moving Away from the Traditional Media -- Offering a United Shopping Experience -- Privacy. Customer Engagement -- How to Address These Pitfalls? -- Future of Social Commerce -- Chapter 4: Cloud Computing Strategy -- Introduction -- The Future -- Cloud Computing Readiness -- Growth of Business -- Service-Level Agreement -- Security -- Vendor Reliability -- Change in Business Model -- Variable Demand -- Role of CIO in Cloud Computing -- Criteria for Moving to Cloud -- Cloud Technical -- Partner Management -- Demand Management -- Contract Management -- Cloud Financials -- Negotiation -- Governance -- Cloud Architecture -- Principles Guiding Cloud Architecture Decisions -- Components of Cloud Architecture -- Managing Cloud Services -- Increasing Transparency Through Cloud Services and Architecture -- Enabling the Business Side of the Cloud Services Paradigm -- Open, Vendor-Neutral Approach -- Benchmarking Against Standards -- Types of Cloud Services -- Cloud Architecture -- Understanding Private Platform as a Service -- Cloud-Ready Network Architecture -- High Bandwidth with Low Latency -- Converged Communications and Storage -- Agile Networks for Mobile Virtual Machines -- Scalable Management Tools -- Power efficiency -- Case Study: Maharashtra Government Shows Power of Cloud with Savings of Rs. 50 Crore -- Chargeback Model: A First in the Government -- Everything as a Service -- The Opportunity to Accelerate -- Risk Management in Cloud Computing -- Applying Risk Frameworks -- Cloud Provider Due Diligence -- Information Security, Compliance and the Cloud -- Forging an Alliance -- Cloud SLAs -- The Cloud SLA Bill of Rights -- Cloud ROI -- Summary -- Review Questions -- Chapter 5: Cloud Computing Strategy Design for ­Myntra.com -- Introduction -- Industry Analysis (PESTEL) -- Political -- Economic -- Social -- Technological -- Environmental -- Legal -- Organization -- VMG Framework -- OLC -- Strategy -- Stakeholders -- Functions. L0-The Context Diagram -- L1 Diagrams -- Marketing Department -- Logistics Department -- Operations Department -- Finance Department -- Human Resources Department -- L2 Diagrams -- Factors that Affect IT Strategy -- Industry Characteristics -- Organization -- Issues and Challenges -- Process Integration -- Applications Integration -- Technology Integration -- Department Scorecard -- Change Management for Cloud Strategy -- Implementation Framework -- Business Objective -- Business Process -- Roadmap -- Critical Success Factors -- Steering Committee -- Senior Management Review -- Role of VP-Human Resources -- Role of Head-Brand Marketing -- Role of Chief Operating Officer -- Role of Chief Strategy Officer -- Role of the Chief Technology Officer -- Role of Chief Executive Officer -- Roles and Responsibilities -- Communication Protocol -- Stakeholder Prioritization Matrix -- Training -- Risk Management -- Conclusion -- Chapter 6: Case Study : Developing Cloud Computing Strategy for Dabur -- SWOT Analysis for Indian FMCG Sector -- PES Analysis of Indian FMCG Sector -- About Dabur -- TEL Analysis of Dabur -- Vision and Mission of Dabur -- Mapping Functions and Processes within Dabur -- Factors Affecting IT Strategy -- Applications Integration -- Best Practices for Application Integration Using Cloud -- Technology Integration -- Cloud Strategy -- IaaS (Infrastructure as a Service) -- Platform as a Service -- Challenges in Implementation of Cloud Strategy -- Cloud Architecture -- Benefits of Cloud to Stakeholders -- ROI from Implementing Cloud -- Roadmap for Cloud Implementation -- Department Score Card -- Business Metrics -- Organization Structure -- Department Scorecard -- Change Management for Cloud Implementation -- Managerial Implication for Cloud Strategy -- Benefits to Stakeholders Through Cloud Strategy -- Risk Management -- Conclusion. Chapter 7: Cloud Computing Strategy for Mahindra Automobiles -- Industry Analysis (PESTEL) -- Political Scenario -- Economic Scenario -- Social Scenario -- Technological Scenario -- Environmental Scenario -- Legal Scenario -- Organization -- VMG Framework -- Vision -- Mission -- Strategies -- Business Metrics -- Marketing Metric -- Financial Metrics -- Environmental Metrics -- Stakeholders -- Employees -- Customers -- Suppliers -- Dealers -- Local Community -- Functions -- Processes and Factors That Would Affect IT Strategy -- Process Integration -- Application Integration -- Technology Integration -- Cloud Strategy -- Cloud Architecture -- Infrastructure as a Service -- Platform as a Service -- Software as a Service -- Our Recommendations -- Benefits to Stakeholders Through Cloud Strategy -- ROI from Cloud Strategy -- Roadmap for Cloud -- Department Scorecard -- Change Management for Cloud Strategy -- Is Change Management Really Required for Implementing Cloud? -- Change Management Strategy for Mahindra Automotive -- Managerial Implication for Cloud Strategy -- Risk Management -- Risk Identification -- Risk Assessment -- Risk Mitigation Plan -- Conclusion -- Glossary -- Bibliography -- Index. This book develops an IT strategy for cloud computing that helps businesses evaluate their readiness for cloud services and calculate the ROI. The framework provided helps reduce risks involved in transitioning from traditional "on site" IT strategy to virtual "cloud computing." Since the advent of cloud computing, many organizations have made substantial gains implementing this innovation. Cloud computing allows companies to focus more on their core competencies, as IT enablement is taken care of through cloud services. Cloud Computing and ROI includes case studies covering retail, automobile and food processing industries. Each of these case studies have successfully implemented the cloud computing framework and their strategies are explained. As cloud computing may not be ideal for all businesses, criteria?are also offered to help determine if this strategy should be adopt. EBL201708 Computing and Computers SzGeCERN BOOK Lokhande, Laxmikant https://cds.cern.ch/auth.py?r=EBLIB_P_1802696 ebook n 201732 201708 21 PUBLIC BOOK DELETED 2278934 SzGeCERN 20180716233700.0 9781118670736 electronic version 9781118653173 electronic version EBL 1798776 eng QD273 .F83 2014 541.37 Fuchigami, Toshio Fundamentals and applications of organic electrochemistry synthesis, materials, devices New York, NY John Wiley & Sons 2014 230 p Fundamentals and Applications of Organic Electrochemistry: Synthesis, Materials, Devices -- Contents -- About the Authors -- Preface -- Introduction -- 1. Fundamental Principles of Organic Electrochemistry: Fundamental Aspects of Electrochemistry Dealing with Organic Molecules -- 1.1 FORMATION OF ELECTRICAL DOUBLE LAYER -- 1.2 ELECTRODE POTENTIALS (REDOX POTENTIALS) -- 1.3 ACTIVATION ENERGY AND OVERPOTENTIAL -- 1.4 CURRENTS CONTROLLED BY ELECTRON TRANSFER AND MASS TRANSPORT -- References -- 2. Method for Study of Organic Electrochemistry: Electrochemical Measurements of Organic Molecules -- 2.1 WORKING ELECTRODES -- 2.2 REFERENCE ELECTRODES -- 2.3 AUXILIARY ELECTRODES -- 2.4 SOLVENTS AND SUPPORTING ELECTROLYTES -- 2.5 CELLS AND POWER SOURCES -- 2.6 STEADY-STATE AND NON-STEADY-STATES POLARIZATION CURVES -- 2.7 POTENTIALS IN ELECTROCHEMICAL MEASUREMENTS -- 2.8 UTILIZATION OF VOLTAMMETRY FOR THE STUDY OF ORGANIC ELECTROSYNTHESIS -- 2.8.1 Voltammetric Analysis for Selective Electrosynthesis -- 2.8.2 Clarification of the Reaction Mechanism -- 2.8.3 Voltammetry for Selection of Mediator -- 2.8.4 Voltammetry for Selection of Electrode Material -- References -- 3. Methods for Organic Electrosynthesis -- 3.1 SELECTION OF ELECTROLYTIC CELLS -- 3.2 CONSTANT CURRENT ELECTROLYSIS AND CONSTANT POTENTIAL ELECTROLYSIS -- 3.3 DIRECT ELECTROLYSIS AND INDIRECT ELECTROLYSIS -- 3.4 ELECTRODE MATERIALS AND REFERENCE ELECTRODES -- 3.5 ELECTROLYTIC SOLVENTS AND SUPPORTING ELECTROLYTES -- 3.6 STIRRING -- 3.7 TRACKING OF REACTANT AND PRODUCT -- 3.8 WORK-UP, ISOLATION AND DETERMINATION OF PRODUCTS -- 3.9 CURRENT EFFICIENCY AND EFFECT OF THE POWER UNIT -- References -- 4. Organic Electrode Reactions -- 4.1 GENERAL CHARACTERISTICS OF ELECTRODE REACTIONS -- 4.2 MECHANISM OF ORGANIC ELECTRODE REACTIONS -- 4.3 CHARACTERISTICS OF ORGANIC ELECTROLYTIC REACTIONS -- 4.3.1 Umpolung. 4.3.2 Selectivity -- 4.3.2.1 Chemoselectivity -- 4.3.2.2 Reaction Pathway Selectivity -- 4.3.2.3 Regioselectivity -- 4.3.2.4 Stereoselectivity -- 4.3.2.5 Selectivity Depending on Electrode Materials -- 4.4 MOLECULAR ORBITALS AND ELECTRONS RELATED TO ELECTRON TRANSFER -- 4.5 ELECTROAUXILIARIES -- 4.5.1 Electroauxiliaries Based on Molecular Orbital Interactions -- 4.5.2 Electroauxiliaries Based on Readily Electron-Transferable Functional Groups -- 4.5.3 Electroauxiliaries Based on Intermolecular Coordination Effects -- 4.5.4 Electroauxiliaries Based on Intramolecular Coordination Effects -- 4.6 REACTION PATTERN OF ORGANIC ELECTRODE REACTIONS -- 4.6.1 Transformation Type of Functional Group -- 4.6.2 Addition Type -- 4.6.3 Insertion Type -- 4.6.4 Substitution Type -- 4.6.5 Substitutive Exchange Type -- 4.6.6 Elimination Type -- 4.6.7 Dimerization Type -- 4.6.8 Crossed Dimerization -- 4.6.9 Cyclization Type -- 4.6.10 Polymorphism Formation Type -- 4.6.11 Polymerization Type -- 4.6.12 Cleavage Type -- 4.6.13 Metalation Type -- 4.6.14 Asymmetric Synthesis Type -- 4.7 ELECTROCHEMICALLY GENERATED REACTIVE SPECIES -- 4.7.1 Carbon Species -- 4.7.1.1 Anodically Generated Carbon Species -- 4.7.1.2 Cathodically Generated Carbon Species -- 4.7.2 Heteroatom Species -- 4.7.2.1 Nitrogen Species -- 4.7.2.2 Oxygen Species -- 4.7.2.3 Calcogeno (Sulfur, Selenium, Tellurium) Species -- 4.7.2.4 Halogen Species -- 4.7.2.5 14-Family and 15-Family Element Species -- References -- 5. Organic Electrosynthesis -- 5.1 ELECTROCATALYSIS -- 5.1.1 Classification and Kinds of Mediators -- 5.1.2 Organic Electrolytic Reactions Using Mediators -- 5.1.2.1 Electrosynthesis Using Multivalent Metal Ion Mediators -- 5.1.2.2 Electrosynthesis Using Halogen Mediators -- 5.1.2.3 Electrosynthesis Using Triarylamine Mediators -- 5.1.2.4 Electrosynthesis Using Multi-Mediatory Systems. 5.1.2.5 Electrosynthesis Using Hypervalent Compounds as Mediators -- 5.1.2.6 Electrosynthesis Using Transition Metal Complex Mediators -- 5.1.2.7 Electrosynthesis Using Mediator Immobilzed on Solid -- 5.2 ELECTROGENERATED ACIDS AND BASES -- 5.2.1 Electrogenerated Bases -- 5.2.2 Electrogenerated Acids -- 5.3 ELECTROCHEMICAL ASYMMETRIC SYNTHESIS -- 5.4 MODIFIED ELECTRODES -- 5.4.1 Electrodes Modified with Adsorbants -- 5.4.2 Foreign Metal Adatom Modified Electrodes -- 5.4.3 Chemically Modified Electrodes -- 5.4.4 Polymer-Modified (Coated) Electrodes -- 5.5 PAIRED ELECTROSYNTHESIS -- 5.6 REACTIVE ELECTRODES -- 5.7 ELECTROCHEMICAL FLUORINATION -- 5.7.1 Electrochemical Fluorination of Aromatic Rings -- 5.7.2 Electrochemical Fluorination of Olefins -- 5.7.3 Benzylic Electrochemical Fluorination -- 5.7.4 Electrochemical Fluorination of Sulfides -- 5.7.5 Electrochemical Fluorination of Heterocyclic Compounds -- 5.7.6 Electrochemical Fluorination of Heterocyclic Compounds with PhS Group as Electroauxiliary -- 5.7.7 Electrochemical Fluorination Using Inorganic Fluoride Salts -- 5.8 ELECTROCHEMICAL POLYMERIZATION -- 5.8.1 Electro-oxidative Polymerization of Aromatic Monomers -- 5.8.2 Electrochemical Polymerization -- 5.8.3 Conditions for Electrochemical Polymerization -- 5.8.4 Electrochemical Doping -- 5.8.5 Electro-reductive Polymerization of Aromatic Monomers -- 5.8.6 Applications of Conducting Polymers -- 5.8.7 Electrochemical Synthesis of Polysilanes -- 5.8.8 Chain Polymerization Initiated with Electrogenerated Reactive Species -- References -- 6. New Methodology of Organic Electrochemical Synthesis -- 6.1 SPE ELECTROLYSIS AND ITS APPLICATIONS -- 6.1.1 Principle of SPE Electrolysis -- 6.1.2 SPE Electrolysis with Cogeneration (Chemicals Production Using Fuel Cell Reactions) -- 6.2 ELECTROLYTIC SYSTEMS USING SOLID BASES AND ACIDS. 6.3 SOLID-SUPPORTED MEDIATORS -- 6.4 BIPHASIC ELECTROLYTIC SYSTEMS -- 6.4.1 Emulsion Electrolysis -- 6.4.2 Suspension Electrolysis -- 6.4.3 Electrolysis Using Phase-Transfer Catalysis -- 6.4.4 Thermomorphic Biphasic Electrochemical Reaction System -- 6.5 CATION POOL METHOD -- 6.6 TEMPLATE-DIRECTED METHODS -- 6.7 ELECTROLYSIS IN SUPERCRITICAL FLUIDS -- 6.8 ELECTROLYSIS IN IONIC LIQUIDS -- 6.8.1 Structures of Ionic Liquids -- 6.8.2 Hydrophilicity and Hydrophobicity of Ionic Liquids -- 6.8.3 Polarity of Ionic Liquids -- 6.8.4 Electrochemical Properties of Ionic Liquids -- 6.8.5 Voltammetry in Ionic Liquids -- 6.8.6 Organic Electrochemical Reactions in Ionic Liquids -- 6.8.6.1 Organic Electrosynthesis -- 6.8.6.2 Electrochemical Fluorination -- 6.8.6.3 Electropolymerization -- 6.8.6.4 Others -- 6.9 THIN-LAYER ELECTROLYTIC CELLS -- 6.10 ELECTROCHEMICAL MICROFLOW SYSTEMS -- 6.11 ELECTROLYSIS UNDER ULTRASONICATION -- 6.12 ELECTROSYNTHESIS USING SPECIFIC ELECTRODE MATERIALS -- 6.12.1 Electrochemical Synthesis Using Hydrophobic Electrodes -- 6.12.1.1 Hydrophobic Composite-Plated Electrodes -- 6.12.1.2 PTFE-Fibre-Coated Electrodes -- 6.12.2 Electrolytic Reactions Using Diamond Electrodes -- 6.12.2.1 Electrochemical Features and Application to Highly Sensitive Electroanalysis -- 6.12.2.2 Application to Organic Electrosynthesis -- 6.12.2.3 Application to Inorganic Electrosynthesis -- 6.13 PHOTOELECTROLYSIS AND PHOTOCATALYSIS -- 6.13.1 Photoelectrolysis -- 6.13.2 Photocatalysts -- 6.14 ELECTROCHEMICAL POLYMER REACTIONS -- References -- 7. Related Fields of Organic Electrochemistry -- 7.1 APPLICATION IN ORGANIC ELECTRONIC DEVICES -- 7.1.1 Organic Electroluminescence -- 7.1.2 Organic Photovoltaic Cells -- 7.1.3 Dye-sensitized Solar Cells -- 7.1.4 Organic Transistors -- 7.1.5 Electrochromic Devices -- 7.1.6 Conducting Polymer-based Capacitors. 7.2 ELECTROCHEMICAL CONVERSION OF BIOMASS TO VALUABLE MATERIALS -- 7.3 APPLICATION TO C1 CHEMISTRY -- 7.4 ENVIRONMENTAL CLEANUP -- References -- 8. Examples of Commercialized Organic Electrode Processes -- 8.1 AVENUE TO INDUSTRIALIZATION -- 8.2 EXAMPLES -- 8.2.1 Electrosynthesis of Adiponitrile -- 8.2.2 Electrosynthesis of Aromatic Aldehydes -- 8.2.3 Paired Electrosynthesis of Phthalide and t-Butylbenzaldehyde -- 8.2.4 Electrochemical Perfluorination -- 8.2.5 Other Examples -- 8.2.5.1 3,6-Dichloropicolic Acid -- 8.2.5.2 β-Lactam Derivative -- 8.2.5.3 Cysteine -- 8.2.5.4 Tetramethylammonium Hydroxide -- 8.2.5.5 Other Examples -- References -- Appendix A: Examples of Organic Electrosynthesis -- A.1 ELECTROCHEMICAL FLUORINATION -- A.2 ELECTROSYNTHESIS USING A HYDROPHOBIC ELECTRODE -- A.3 NATURAL PRODUCT SYNTHESIS USING ANODIC OXIDATION -- A.4 KOLBE ELECTROLYSIS -- A.5 INDIRECT ELECTROSYNTHESIS USING A MEDIATOR -- A.6 ELECTROSYNTHESIS OF CONDUCTING POLYMERS -- REFERENCES -- Appendix B. Tables of Physical Data -- Index -- End User License Agreement. This textbook is an accessible overview of the broad field of organic electrochemistry, covering the fundamentals and applications of contemporary organic electrochemistry.  The book begins with an introduction to the fundamental aspects of electrode electron transfer and methods for the electrochemical measurement of organic molecules. It then goes on to discuss organic electrosynthesis of molecules and macromolecules, including detailed experimental information for the electrochemical synthesis of organic compounds and conducting polymers. Later chapters highlight new methodology for organic electrochemical synthesis, for example electrolysis in ionic liquids, the application to organic electronic devices such as solar cells and LEDs, and examples of commercialized organic electrode processes. Appendices present useful supplementary information including experimental examples of organic electrosynthesis, and tables of physical data (redox potentials of various organic solvents and organic compounds and physical properties of various organic solvents). Atobe, Mahito Inagi, Shinsuke 9781118653173 print version oai:cds.cern.ch:2278934 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1798776 ebook ebook EBL201708 Chemical Physics and Chemistry SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2278930 SzGeCERN 20210421210650.0 9784431543664 electronic version electronic version 9784431543664 print version 9784431543671 electronic version electronic version oai:cds.cern.ch:2278930 cerncds:BOOK EBL 1783667 eng GB3-5030 530.141 Surkov, Vadim Ultra and extremely low frequency electromagnetic fields Tokyo Springer 2014 495 p ebook Springer geophysics Preface -- Contents -- Introduction -- Part I Electromagnetic Field of the Earth -- 1 The Earth's Magnetic Field -- 1.1 Origin of the Earth's Magnetic Field -- 1.1.1 The Earth's Interior Structure -- 1.1.2 Magnetohydrodynamic (MHD) Equations -- 1.1.3 The Concept of ``Frozen-In'' Magnetic Field -- 1.1.4 A Simple Model of Hydromagnetic Dynamo -- 1.1.5 Turbulent Diffusion and Mean Helicity -- 1.1.6 Magnetic Field Generation -- 1.1.7 Inhomogeneous Rotation -- 1.1.8 Magnetic Field Structure on the Earth Surface -- 1.2 The Earth Magnetosphere -- 1.2.1 Solar Wind -- 1.2.2 Interaction Between the Solar Wind and Earth's Magnetic Field -- 1.2.3 Structure of the Earth Magnetosphere -- 1.3 Magnetic Storms -- 1.3.1 Solar-Quiet-Time Magnetic Variations -- 1.3.2 Storm Sudden Commencement -- 1.3.3 Magnetic Storm and Substorms -- 1.4 MHD Waves -- 1.4.1 Basic Equations for MHD Waves in a Homogeneous Conducting Medium -- 1.4.2 Shear Alfvén Waves -- 1.4.3 Fast and Slow Magnetosonic Waves -- References -- 2 The Ionosphere and Atmosphere -- 2.1 Structure of the Ionosphere and Atmosphere -- 2.1.1 Formation and Composition of the Ionosphere -- 2.1.2 Neutral Atmosphere -- 2.2 Ionospheric Plasma -- 2.2.1 Tensor of Plasma Conductivity -- 2.2.2 Shear Alfvén and Compressional Waves in a Homogeneous Magnetized Plasma -- References -- 3 Atmospheric Electricity -- 3.1 Global Electric Circuit -- 3.1.1 Electric Field and Conductivity of the Atmosphere -- 3.1.2 Electric Field and Charges in Thunderstorm Clouds -- 3.1.3 Conventional Mechanism for Air Breakdown and Streamers -- 3.1.4 Lightning Discharge -- 3.1.5 Multiple Return Stroke -- 3.1.6 Global Thunderstorm Activity -- 3.2 Sprites, Blue Jets, and Other High Altitude Electric Discharges -- 3.2.1 Classification of TLEs -- 3.2.2 Underlying Mechanisms for Blue Jets (BJs) and Gigantic Jets (GJs). 3.2.3 Underlying Mechanisms for Sprites -- 3.2.4 Runaway Electron Breakdown -- 3.2.5 VLF Probing of the Lower Ionosphere Above Thunderstorm: Early/Fast and Early/Slow Events -- 3.2.6 ELF Field Measurements of Sprite-Producing Events -- References -- Part II Global Electromagnetic Resonances and ULF Noises -- 4 Earth-Ionosphere Cavity Resonator -- 4.1 Structure and Models of the Earth-Ionosphere Cavity Resonator -- 4.1.1 Model of the Earth-Ionosphere Cavity and Basic Equations -- 4.1.2 Model of Lightning Discharge and BoundaryConditions -- 4.1.3 Solution of the Problem -- 4.2 Schumann Resonances -- 4.2.1 Eigenfrequencies of the Schumann Resonances -- 4.2.2 Quality/Energy-Factor -- 4.2.3 Solution of the Problem in a More Accurate Model -- 4.3 Sources of Resonator Excitation -- 4.3.1 Lightning Discharges Treated as a Stochastic Process -- 4.3.2 Correlation Matrix of Random Field Variations -- 4.3.3 A Role of Positive and Negative Cloud-to-Ground (CG) Lightning -- 4.3.4 Observations of Schumann Resonances -- Appendix A: Spherical Bessel Functions -- Legendre Polynomials -- Rearrangement of Solution -- Appendix B: Mean Value and Correlation Function of Random Process -- References -- 5 Ionospheric Alfvén Resonator (IAR) -- 5.1 Structure and Models of IAR -- 5.1.1 Model of Alfvén Speed Height Profile in theExosphere -- 5.1.2 Fourier Transform of Maxwell Equations -- 5.1.3 Three- and Two-Potential Representation of Plasma Waves -- 5.1.4 Solution of Wave Equations in the Magnetosphere -- 5.1.5 Boundary Conditions at the E Layer of the Ionosphere -- 5.1.6 Electromagnetic Field at the Atmosphere and in the Ground -- 5.2 IAR Eigenfrequencies -- 5.2.1 Dispersion Relation of the IAR -- 5.2.2 Shear Alfvén and FMS Modes for the Case of Zero Hall Conductance -- 5.2.3 Mode Coupling: The Role of the Ionospheric Hall Conductivity -- 5.3 Sources of IAR Excitation. 5.3.1 Possible Physical Mechanisms for IAR Excitation -- 5.3.2 Observations of the IAR Spectra -- 5.3.3 IAR Excitation Due to a Solitary CG Lightning Discharge -- 5.3.4 A Model Calculation of the IAR Spectra -- 5.3.5 IAR Excitation Due to Random Lightning Process -- 5.3.6 IAR Excitation Due to Ionospheric Neutral Wind -- Appendix C: Vector and Scalar Potentials of Electromagnetic Field -- General Description -- Potentials of Shear Alfvén and Compressional Waves in Plasma -- Fourier Transform over Space -- Cylindrical Coordinates -- Appendix D: Solutions of the Boundary Problems -- Solution of the Problem Associated with IAR -- Magnetic Field Perturbations in the Atmosphere and in the Solid Earth -- Boundary Conditions at the E-Layer of the Ionosphere -- Appendix E: Solutions of the Axially Symmetrical Problem -- TM Mode in the Neutral Atmosphere and in the Ground -- TE Mode in the Neutral Atmosphere and in the Ground -- The Ionosphere and Magnetosphere -- E Layer of the Ionosphere -- Electromagnetic Perturbations at the Ground Surface -- References -- 6 Magnetospheric MHD Resonances and ULF Pulsations -- 6.1 Structure of Global Magnetospheric Oscillations -- 6.1.1 An Axisymmetric Magnetosphere Model -- 6.1.2 Toroidal Mode -- 6.1.3 Poloidal Mode -- 6.1.4 Azimuthal Harmonics -- 6.2 Field-Line Resonance (FLR) -- 6.2.1 MHD Box Model -- 6.2.2 FLR Eigenfrequencies -- 6.2.3 Cavity Mode -- 6.2.4 The Mode Coupling -- 6.2.5 Wave Polarization -- 6.2.6 Effect of the Ionosphere on Ground-Based Observation -- 6.3 Sources of ULF Pulsations -- 6.3.1 Observations of ULF Pulsations -- 6.3.2 Kelvin-Helmholtz Instability at the Magnetopause -- 6.3.3 Magnetospheric Plasma Instabilities -- 6.3.4 MHD Waves Propagating in Solar Wind -- 6.3.5 Reconstruction of the Magnetospheric Configuration -- 6.4 ULF Electromagnetic Noises -- 6.4.1 Main Sources of the ULF Noises. 6.4.2 Model and Basic Equations -- 6.4.3 Transfer Matrices -- 6.4.4 Correlation Matrix of Random Fields -- 6.4.5 Rough Estimate of Spectral Density -- 6.4.6 Flicker-Noise of Ionospheric Currents -- 6.4.7 Neutral Gas Turbulence -- 6.4.8 Random Variations of Background Atmospheric Current and Conductivity -- 6.4.9 Electric Field Pulsations at Fair-Weather Conditions -- 6.4.10 Monitoring of Near-Earth Plasma -- 6.4.11 Space Weather -- Appendix F: FLR Structure -- References -- Part III Electromagnetic Fields Due to Rock Deformation and Fracture -- 7 Geomagnetic Perturbations (GMPs) -- 7.1 Two Source Mechanisms for ULF Electromagnetic Field Generation -- 7.2 Local GMPs Due to Seismic Waves in Conductive Ground -- 7.2.1 In-Situ Measurements -- 7.2.2 Basic Equations -- 7.2.3 Diffusion and Seismic Zones -- 7.2.4 Electromagnetic Forerunner of Seismic Wave -- 7.2.5 Estimates of Typical Amplitude and Frequencies of Co-seismic Signals -- 7.2.6 Spherically Symmetric Seismic Wave -- 7.2.7 Magneto-Dipole Approximation for the Diffusion Zone -- 7.2.8 Rayleigh Surface Wave in a Conductive Half-Space -- 7.3 ULF Electromagnetic Noise Due to Crack Formation in a Conductor -- 7.3.1 GMPs Due to Expansion of Tension Cracks -- 7.3.2 GMPs Due to Shear Cracks -- Appendix G: Earth's Magnetic Field Perturbation by Acoustic Waves Propagating in Conductive Ground -- General Solution for the Spherically Symmetric Acoustic Wave -- Normalized Potential of Elastic Displacement -- Approximation for Short Acoustic Wavelength -- Rayleigh Surface Wave in a Conductive Half-Space -- References -- 8 Electrokinetic Effect in Water-Saturated Rock -- 8.1 Theory of Electrokinetic Effect -- 8.1.1 Basic Equations: Laboratory Study -- 8.1.2 Electrokinetic Effect in Homogeneous Media -- 8.1.3 Electrokinetic Effect in Anisotropical Media -- 8.1.4 Electrokinetic Effect in Fractal Media. 8.2 Seismoelectric Effect Due to Propagation of Seismic Waves -- References -- 9 Laboratory Study of Rock Deformation and Fracture -- 9.1 Electromagnetic Effects Caused by Dynamic Deformation of a Solid -- 9.1.1 Electromagnetic Fields Originated from Acoustic Waves Propagation in Samples -- 9.1.2 Shock Polarization of a Dielectric -- 9.1.3 Theory of Shock Polarization of Ionic Monocrystals -- 9.1.4 Phenomenological Models of Shock Polarization in Dielectrics -- 9.1.5 Shock Magnetization and Demagnetization of Magnetic Materials -- 9.1.6 Remanent Magnetic Effects -- 9.2 Electromagnetic Effects Caused by Fracture of a SolidDielectric -- 9.2.1 Electrical Charges on the Surface of Fractured Solid -- 9.2.2 Radiowave Emission Resulted from Fracture of Dielectric Solids -- 9.2.3 Optical Emissions -- 9.2.4 Roentgen and γ-Radiation -- 9.2.5 Electron and Ion Emissions Under Solid Failure -- 9.2.6 Theory of Electric Field Formation in a Crack -- 9.2.7 Electric Field in Collapsing Pores -- 9.3 Conclusions -- References -- 10 Electromagnetic Effects Resulted from Natural Disasters -- 10.1 ULF Electromagnetic Variations Possibly Associated with Earthquakes (EQs) -- 10.1.1 Observations of ULF Electromagnetic Noise Before and After EQs -- 10.1.2 Theory of Transient Electromagnetic Field Generated by Electric Charges on Crack Surfaces -- 10.1.3 Theory of ULF GMPs Due to Acoustic Noise Produced by Rock Fracture and Crack Formation -- 10.1.4 Theory of ULF Electromagnetic NoiseDue to Electrokinetic Effect -- 10.1.5 Variations of the Rock Basement Conductivityand of Telluric Voltage Possibly Associated with EQs -- 10.1.6 Ionospheric Effects Observed Around the Time of EQs -- 10.1.7 A Problem of Direction Finding for the ULF Electromagnetic Source -- 10.1.8 Other Electromagnetic Phenomena Possibly Associated with EQs -- 10.2 Other Large-Scale Disasters. 10.2.1 Electromagnetic Phenomena Associatedwith Volcano Eruption. This book examines how different sources and physical mechanisms affect ULF/ELF effects. It investigates non seismic prediction of impending natural disasters such as earthquakes, volcano eruptions and tsunamis. EBL201708 General Theoretical Physics SzGeCERN EBL ELF electromagnetic fields -- Environmental aspects BOOK Hayakawa, Masashi https://cds.cern.ch/auth.py?r=EBLIB_P_1783667 ebook n 201732 201708 21 PUBLIC https://catalogue.library.cern/legacy/2278930 BOOK MIGRATED 2278919 SzGeCERN 20180515232350.0 9780857099037 electronic version 9780857094971 electronic version EBL 1774317 eng R857.M3 -- .B664 2014eb 610.28 Mallick, K Bone substitute biomaterials Cambridge Elsevier Science 2014 359 p Woodhead Publishing series in biomaterials Cover -- Bone Substitute Biomaterials -- Copyright -- Contents -- Contributor contact details -- Woodhead Publishing Series in Biomaterials -- Dedication -- Part I: Properties of bone substitute biomaterials in medicine -- 1: Bone substitutes based on biomineralization -- 1.1 Introduction -- 1.2 Key aspects driving the regeneration of hard connective tissues -- 1.3 Biomineralization processes to obtain collagen/ hydroxyapatite composites as regenerative bone and osteochondral scaffolds -- 1.4 Composite biopolymeric matrices able to mediate biomineralization -- 1.5 New intelligent bone scaffolds: functionalized devices able to respond to specific environmental conditions -- 1.6 Future trends in regenerative medicine: superparamagnetic hybrid bone scaffolds -- 1.7 Conclusions -- 1.8 Acknowledgements -- 1.9 References -- 2: Experimental quantification of bone mechanics -- 2.1 Introduction -- 2.2 Bone biology and mechanical function -- 2.3 Whole-bone mechanical properties -- 2.4 Micro-scale mechanical properties -- 2.5 Nano-scale mechanical properties -- 2.6 Hierarchical or multi-scale methods of bone quality assessment -- 2.7 Conclusions -- 2.8 References -- 3: Osteoinductivization of dental implants and bone-defect-filling materials -- 3.1 Introduction -- 3.2 Biomimetic coating technique -- 3.3 Conclusions -- 3.4 References -- 4: Bioresorbable bone graft substitutes -- 4.1 Introduction -- 4.2 Materials that allow resorption -- 4.3 Bioresorbable materials as a source of other substances -- 4.4 Challenges -- 4.5 Conclusions -- 4.6 References -- Part II: Biomaterial substitute scaffolds and implants for bone repair -- 5: Multifunctional scaffolds for bone regeneration -- 5.1 Introduction -- 5.2 Bone structures and extracellular matrix (ECM) mimics -- 5.3 Micro/macroporous scaffolds with bioactive solid signals. 5.4 Hybrid scaffolds by sol-gel technique -- 5.5 3D printed scaffolds via laser sintering -- 5.6 ECM-like scaffolds by electrospinning -- 5.7 Conclusions and future trends -- 5.8 References -- 6: 3D bioceramic foams for bone tissue engineering -- 6.1 Introduction -- 6.2 Biology of bone -- 6.3 Biomaterials -- 6.4 Manufacturing techniques -- 6.5 Conclusions -- 6.6 References -- 7: Titanium and NiTi foams for bone replacement -- 7.1 Introduction -- 7. 2 Titanium-based materials for replacing bones -- 7.3 Development of Ti-based foams for replacing bone -- 7.4 Introduction to currently available Ti-based foams -- 7. 5 Generation I: foams with primary intrinsic porous structure -- 7. 6 Generation II: foams with built-in secondary porous structure -- 7. 7 Generation III: foams with built-up secondary porous structure -- 7.8 Outlook to next generation Ti-based foams -- 7.9 Future trends -- 7.10 Sources of further information and advice -- 7.11 References -- 8: Bioceramics for skeletal bone regeneration -- 8.1 Introduction -- 8.2 Calcium phosphate (Ca-P) based bioactive ceramics for bone regeneration -- 8.3 Properties of Ca-P bioceramics: degradability, bioactivity and mechanical properties -- 8.4 Enhancement of bioactivity and mechanical properties of Ca-P bioceramics -- 8.5 Calcium silicate (Ca-Si) based bioceramics and their applications in biomedical fields -- 8.6 Approaches to improve the performance of Ca-Si based bioceramics -- 8.7 Summary and future trends -- 8.8 References -- Part III: Biomaterials for bone repair and regeneration -- 9: Cartilage grafts for bone repair and regeneration -- 9.1 Introduction -- 9.2 Current problems associated with bone grafting -- 9.3 Cartilage grafts: an alternative to bone grafting -- 9.4 Conversion of cartilage to bone -- 9.5 Generating cartilage grafts -- 9.6 Future trends -- 9.7 References. 10: Chitosan for bone repair and regeneration -- 10.1 Introduction -- 10.2 Natural polymers - chitin and chitosan -- 10.3 Chitosan derivatives for bone tissue engineering -- 10.4 Chitosan-based composites for bone tissue engineering -- 10.5 Chitosan with stem cells -- 10.6 Conclusions -- 10.7 Acknowledgements -- 10.8 References -- 11: Inorganic polymer composites for bone regeneration and repair -- 11.1 Introduction -- 11.2 Component selection and general design considerations -- 11.3 Fabrication of particulate composites -- 11.4 Fabrication of nano-composites -- 11.5 Composite scaffolds -- 11.6 Conclusions and future trends -- 11.7 Sources of further information and advice -- 11.8 References -- 12: Marine organisms for bone repair and regeneration -- 12.1 Introduction -- 12.2 Why marine organisms? -- 12.3 Marine organisms used directly as biomaterials -- 12.4 Marine organisms used indirectly as biomaterials -- 12.5 Components of marine organisms as biomaterial adjuncts -- 12.6 Commercially available marine-based products -- 12.7 Commercialisation concerns -- 12.8 Marine organisms as inspiration -- 12.9 Conclusions -- 12.10 Sources of further information -- 12.11 References -- Index. Bone substitute biomaterials are fundamental to the biomedical sector, and have recently benefitted from extensive research and technological advances aimed at minimizing failure rates and reducing the need for further surgery. This book reviews these developments, with a particular focus on the desirable properties for bone substitute materials and their potential to encourage bone repair and regeneration. Part I covers the principles of bone substitute biomaterials for medical applications. One chapter reviews the quantification of bone mechanics at the whole-bone, micro-scale, and non-scale levels, while others discuss biomineralization, osteoductivization, materials to fill bone defects, and bioresorbable materials. Part II focuses on biomaterials as scaffolds and implants, including multi-functional scaffolds, bioceramics, and titanium-based foams. Finally, Part III reviews further materials with the potential to encourage bone repair and regeneration, including cartilage grafts, chitosan, inorganic polymer composites, and marine organisms. Provides a detailed and accurate overview of the bone substitute biomaterials, a fundamental part of the biomaterials and biomedical sector Provides readers with the principles of bone substitute biomaterials Reviews biomaterials for bone regeneration. 9780857094971 print version oai:cds.cern.ch:2278919 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1774317 ebook ebook EBL201708 Health Physics and Radiation Effects SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2278917 SzGeCERN 20190812235035.0 9780444595669 electronic version electronic version 9780444595669 print version 9780444595782 electronic version electronic version oai:cds.cern.ch:2278917 cerncds:BOOK EBL 1756970 eng TD195.E49 -- .S554 2014eb 621.042 Shi, Fan Reactor and process design in sustainable energy technology Oxford Elsevier Science 2014 302 p ebook Front Cover -- Reactor and Process Design in Sustainable Energy Technology -- Copyright -- Contents -- Preface -- Chapter 1: Reactor configurations and design parameters for thermochemical conversion of biomass into fuels, energy, and c ... -- 1. Biofuels - basic definitions -- 2. Thermochemical technologies -- 3. Reactor configurations for fast pyrolysis -- 3.1. Bubbling fluidized-bed reactor -- 3.2. Circulating fluidized-bed reactor -- 3.3. Auger reactor -- 3.4. Vacuum reactor -- 3.5. Ablative reactors -- 3.5.1. Vortex (cyclone) reactor -- 3.5.2. Rotating cone -- 3.6. Selection of pyrolysis systems -- 4. Gasification - important concepts and definitions -- 5. Gasification steps -- 6. Applications for the gasification product -- 7. Reactors for gasification -- 7.1. Impurities in the gas -- 8. Summary -- Further Reading -- Chapter 2: Bioreactor design for algal growth as a sustainable energy source -- 1. Introduction -- 2. Bioreactor design -- 3. Algal growth in bioreactors -- 3.1. Open pond systems -- 3.2. Photobioreactors -- 3.2.1. Tubular bioreactor -- 3.2.2. Bubble-column bioreactor -- 3.2.3. Airlift bioreactor -- 3.2.4. Flat-panel bioreactor -- 3.3. Comparison -- 4. Modeling of algal growth -- 4.1. Theoretical maximum production of biodiesel from algae -- 4.2. Modeling algae growth in an open raceway -- 4.3. Modeling algal growth in a PBR -- 4.4. Combining algal growth with CO2 fixation -- 5. Conclusions -- Acknowledgments -- References -- Chapter 3: Design of flow battery -- 1. Overview of redox flow battery -- 1.1. Introduction -- 1.2. The characteristics of the RFB -- 1.3. Evaluation of the RFB -- 1.4. Types of redox flow batteries -- 2. True redox flow batteries -- 2.1. Bromine/polysulphide RFB -- 2.2. Vanadium redox flow batteries -- 2.2.1. The fundamentals of an all-vanadium RFB -- 2.2.2. The key components of all-VRFBs. 2.2.3. The commercial applications of all-VRFBs -- 2.2.4. The challenges for all-VRFBs -- 2.3. Other types of typical redox flow batteries -- 3. Hybrid redox flow batteries -- 3.1. Zinc-bromine RFB -- 3.2. Other hybrid RFB systems based on the Zn2+/Zn redox couple -- 3.3. Undivided membrane-free redox flow batteries -- 3.4. Semisolid lithium rechargeable flow battery -- 4. Design considerations of redox flow batteries -- 4.1. The configuration of redox flow batteries -- 4.2. Electrode research -- 4.3. Membrane and separator -- 4.4. Modelling of the RFB -- 5. Summary and perspectives -- References -- Chapter 4: Design and optimization principles of biogas reactors in large scale applications -- 1. Introduction -- 2. Simple structured biogas reactors -- 2.1. Fixed dome digesters -- 2.2. Floating drum digesters -- 2.3. Improvement of simple structured biogas reactors -- 3. Enhanced bioreactors for large-scale applications -- 3.1. Energy transfer -- 3.1.1. Energy requirement of biogas reactor -- 3.1.1.1. Model description -- 3.1.1.2. Heat loss due to mass flow -- 3.1.1.3. Heat loss through the digesters -- 3.1.1.4. Examples -- 3.1.2. Heating methods -- 3.1.2.1. Inside heating methods -- 3.1.2.2. External heating methods -- 3.1.3. Waste heat recovery -- 3.1.3.1. Why -- 3.1.3.2. How -- 3.2. Stirring and mixing in biogas reactors -- 3.2.1. Requirement -- 3.2.2. Energy consumption -- 3.2.3. Mechanical stirring -- 3.2.4. Hydromechanical mixing -- 3.2.4.1. Airlifting -- 3.2.4.2. Hydraulic mixing -- 3.2.4.3. Fluidized bed -- 4. Research progress in lab -- 4.1. Immobilization -- 4.2. In-situ methane enrichment -- 4.3. Reaction pathway control -- 5. Conclusion -- Acknowledgments -- References -- Chapter 5: Pd-Alloy membranes for hydrogen separation -- 1. Background -- 1.1. Hydrogen separation in advanced coal conversion processes. 1.2. Options for hydrogen separation -- 2. The chemistry and physics of separation by dense metal membranes -- 2.1. The solution-diffusion mechanism -- 2.2. Definition of selectivity -- 2.3. Experimental characterization of permeability -- 2.3.1. Preparing the membrane sample -- 2.3.2. The permeation experiment -- 2.3.3. Membrane characterization -- 2.4. First-principles calculation of permeability -- 3. The permeability of single-component materials -- 3.1. Pd membranes -- 3.1.1. Structural/mechanical properties -- 3.1.2. Response to non-H2 components -- 4. The roles of minor alloy component(s) -- 4.1. Structure and mechanical properties -- 4.2. Permeability -- 4.2.1. Binary Pd alloys -- 4.2.2. Ternary Pd alloys -- 4.3. Control of response to minor components -- 4.3.1. PdCu -- 4.3.2. PdAu -- 4.4. Ternary Pd alloys -- 5. Design and implementation of dense metal membrane systems -- 5.1. Strategies for preparing and stabilizing thin metal layers -- 5.1.1. Free-standing foils -- 5.1.2. Thin films on porous substrates -- 5.1.3. Composite membranes -- 5.2. Device (module) design -- 5.3. Integrated reactor designs: membrane reactors -- 5.4. Process optimization/configuration -- 6. Outlook -- References -- Chapter 6: Processes and simulations for solvent-based CO2 capture and syngas cleanup -- 1. Introduction -- 2. Methyldiethanolamine -- 2.1. Overview -- 2.2. Tutorial: example of using MDEA for H2S removal in ProMax -- 2.2.1. Defining the ProMax simulation and selecting components -- 2.2.2. Constructing the absorber section -- 2.2.3. Constructing the stripper section -- 2.2.4. Adding stream recycles -- 2.3. Tutorial: example of using MDEA for CO2 removal in Aspen Plus with the Electrolyte-NRTL package -- 2.3.1. Setting up the physical properties model -- 2.3.2. Absorber modelling, tips, and tricks -- 2.3.3. Modelling the stripper and heat exchange. 2.3.4. Modelling the rest of the flowsheet -- 2.3.5. Making changes and advanced techniques -- 2.3.6. Notes about rate-based versus equilibrium-based distillation models -- 2.4. MDEA for simultaneous H2S and CO2 removal -- 3. Piperazine -- 3.1. The influence of pressure -- 3.2. Modelling piperazine in Aspen Plus -- 3.3. Modelling piperazine in Aspen HYSYS -- 3.4. Modelling piperazine in ProMax -- 4. Monoethanolamine -- 4.1. Simulating MEA CO2 capture systems in Aspen Plus using the Amines Package -- 4.2. Advanced simulation techniques -- 4.3. MEA for CO2 capture from pulverized coal power plants -- 4.4. MEA for H2S removal -- 4.5. MEA for CO2 capture for hydrogen generation applications -- 4.6. Other software -- 5. DGA, morpholine, and other amines -- 5.1. Simulating CO2 capture with DGA -- 5.2. Other amines -- 6. Selexol -- 6.1. Tutorial: example of modelling CO2 capture using Aspen HYSYS -- 6.1.1. Setting up the physical properties -- 6.1.2. Setting up the CO2 stripping section -- 6.1.3. Stream compression -- 6.1.4. Setting up the absorber and integrating the flowsheet -- 6.1.5. Closing the loop and advanced simulation tools -- 6.1.6. Modelling combined CO2 and H2S capture in Aspen HYSYS -- 6.2. Modelling Selexol processes with the PC-SAFT package (HYSYS, Aspen Plus) -- 7. Rectisol -- 7.1. Tutorial: example Rectisol process for CO2 and H2S removal using Invensys Pro/II -- 7.1.1. Specifying the physical properties -- 7.1.2. Creating the water removal section -- 7.1.3. Absorber section -- 7.1.4. Stripper section -- 7.1.5. Completing the flowsheet and adding recycle -- 7.2. Example Rectisol process for CO2 removal only in Aspen HYSYS -- 7.3. Notes for modelling in Aspen Plus -- 8. Conclusions -- References -- Chapter 7: Chemical-looping processes for fuel-flexible combustion and fuel production -- 1. Introduction. 2. Fuel composition and fuel flexibility -- 2.1. Fuel contaminants -- 2.1.1. Sulfur -- 2.1.2. Light hydrocarbons -- 2.2. Fuel flexibility -- 2.2.1. Liquid fuels -- 2.2.2. Solid fuels -- 2.3. Chemical-looping oxygen uncoupling -- 3. Chemical-looping reforming -- 3.1. Chemical-looping steam reforming -- 3.2. Chemical-looping dry reforming -- 3.3. Chemical-looping mixed reforming -- 3.4. Chemical-looping partial oxidation -- 4. Summary and outlook -- Acknowledgment -- References -- Index. Reactor Process Design in Sustainable Energy Technology compiles and explains current developments in reactor and process design in sustainable energy technologies, including optimization and scale-up methodologies and numerical methods. Sustainable energy technologies that require more efficient means of converting and utilizing energy can help provide for burgeoning global energy demand while reducing anthropogenic carbon dioxide emissions associated with energy production. The book, contributed by an international team of academic and industry experts in the field, brings numerous reactor design cases to readers based on their valuable experience from lab R&D scale to industry levels. It is the first to emphasize reactor engineering in sustainable energy technology discussing design. It provides comprehensive tools and information to help engineers and energy professionals learn, design, and specify chemical reactors and processes confidently. Emphasis on reactor engineering in sustainable energy technology Up-to-date overview of the latest reaction engineering techniques in sustainable energy topics Expert accounts of reactor types, processing, and optimization Figures and tables designed to comprehensively present concepts and procedures Hundreds of citations drawing on many most recent and previously published works on the subject. EBL201708 Engineering SzGeCERN EBL Power resources -- Environmental aspects BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1756970 ebook n 201732 201708 21 PUBLIC BOOK DELETED 2278914 SzGeCERN 20170906005813.0 9781606504857 electronic version 9781606504840 electronic version EBL 1736341 eng TJ820 -- .A278 2014 621.45 Abraham, John P Small-scale wind power design, analysis, and environmental impacts New York, NY Momentum Press 2014 198 p Cover -- Abstract -- Contents -- List of Figures -- List of Contributors -- CHAPTER 1: Introduction to Small-Scale Wind Power -- CHAPTER 2: Financial and Implementation Considerations ofSmall-Scale Wind Turbines -- CHAPTER 3: Design of Darrieus-Type Wind Turbines -- CHAPTER 4: Design of Savonius-Style Wind Turbines -- CHAPTER 5: Design of Horizontal-Axis Wind Turbines -- CHAPTER 6: Numerical Simulations of Small Wind Turbines-HAWT Style -- CHAPTER 7: Case Studies of Small Wind Applications -- Index -- AD page -- Cover. In today's world, clean and robust energy sources are beingsought to provide power to residences, commercial operations,and manufacturing enterprises. Among the most appealingenergy sources is wind power-with its high reliability andlow environmental impact. Wind power's rapid penetrationinto markets throughout the world has taken many forms, andthis book discusses the types of wind power, as well as theappropriate decisions that need to be made regarding windpower design, testing, installation, and analysis.Inside, the authors detail the design of various small-windsystems including horizontal-axis wind turbines (HAWTs) andvertical-axis wind turbines (VAWTs). The design of wind turbinestakes advantage of many avenues of investigation, all of whichare included in the book. Analytical methods that have beendeveloped over the past few decades are major methods usedfor design. Alternatively, experimentation (typically using scaledmodels in wind tunnels) and numerical simulation (using moderncomputational fluid dynamic software) are also used and will bedealt with in depth.In addition to the analysis of wind turbine performance, it isimportant for users to assess the economic benefits of using windpower. An entire chapter of this book is devoted to this topic,as well as case studies that help elucidate the issues that you'llneed to consider, from siting and mechanical complications, toperformance and maintenance. Plourde, Brian 9781606504840 print version oai:cds.cern.ch:2278914 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1736341 ebook ebook EBL clean energy EBL Darrieus wind turbines EBL horizontal-axis wind turbines EBL local power production EBL off-grid energy generation EBL Small power production facilities EBL201708 Engineering SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2278913 SzGeCERN 20210421210650.0 9783642412448 electronic version electronic version 9783642412448 print version 9783642412455 electronic version electronic version oai:cds.cern.ch:2278913 cerncds:BOOK EBL 1731197 eng GB3-5030 526.1 Lu, Zhiping Geodesy introduction to geodetic datum and geodetic systems Berlin Springer 2014 417 p ebook Content Summary -- Preface -- Abbreviations -- Contents -- Author Profiles -- Chapter 1: Introduction -- 1.1 Objectives and Classifications of Geodesy -- 1.1.1 Objectives of Geodesy -- 1.1.2 Classifications of Geodesy -- 1.2 Applications of Geodesy -- 1.2.1 Applications of Geodesy in Topographic Mapping, Engineering Construction, and Transportation -- 1.2.2 Applications of Geodesy in Space Technology -- 1.2.3 Applications of Geodesy in Geoscience Research -- 1.2.4 Applications of Geodesy in Resource Development, Environmental Monitoring, and Protection -- 1.2.5 Applications of Geodesy in Disaster Prevention, Resistance, and Mitigation -- 1.3 Brief History and Trends in the Development of Geodesy -- 1.3.1 Brief History of Geodesy -- Embryonic Stage -- Formation of Geodesy -- Development of Arc Measurement -- Development of Geometric Geodesy -- Development of Physical Geodesy -- Development of Satellite Geodesy -- Development of Dynamic Geodesy -- 1.3.2 Trends in the Development of Geodesy -- Modern Geodesy as Represented by Space Geodesy -- Developing Towards Basic Research Areas in the Geosciences -- Space Geodesy Will Dominate Future Developments in the Discipline -- Satellite Navigation and Positioning Techniques Have Expanded the Application Area of Geodesy -- Study of the Earth´s Gravity Field Is Dedicated to Developing Satellite and Aerial Gravity Exploration Techniques and to Makin... -- Review and Study Questions -- Chapter 2: Geodetic Data Collection Techniques -- 2.1 Terrestrial Triangulateration -- 2.1.1 Angle Measurement -- Horizontal and Vertical Angles -- Horizontal Angle -- Vertical Angle -- The Theodolite -- Methods for Observing Horizontal Angles -- The Direction Method and the Closing the Horizon Method -- Method of Angle Measurement in All Combinations (Schreiber´s Method of Observation) -- 2.1.2 Distance Measurement. Principles of Electromagnetic Distance Measuring -- Basic Methods of Electromagnetic Distance Measurement -- Classification of Electromagnetic Distance Measuring Instruments -- 2.1.3 Astronomical Measurement -- Definition of Astronomical Coordinate System -- Astronomical Longitude -- Astronomical Latitude -- Astronomical Azimuth -- Methods for Astronomical Observation -- Traditional Methods for Astronomical Observation -- New Methods for Astronomical Measurement -- 2.2 Height Measurement -- 2.2.1 Leveling -- Principle of Leveling -- Level and Leveling Rod -- Electronic Levels -- 2.2.2 Trigonometric Leveling -- Basic Principle of Trigonometric Leveling -- EDM Height Traversing -- 2.3 Space Geodetic Surveying -- 2.3.1 GPS Surveying -- Overview of GPS -- Structure of GPS -- The Space Segment -- The Control Segment -- The User Segment -- Signals From GPS Satellites -- GPS Positioning Services -- GPS Coordinate System and Time System -- World Geodetic System 1984 (WGS84) -- GPS Time System -- Features and Functions of GPS -- GPS Measurement and Positioning Methods -- According to Observed Values Adopted by Positioning -- According to Modes of Positioning -- According to the Time Used for Obtaining the Results of Positioning -- According to the Receiver´s State of Motion During Positioning -- GPS Receiver -- Navigation Receiver -- Phase Measurement Receiver -- 2.3.2 Satellite Laser Ranging -- Principles of Satellite Laser Ranging -- SLR System -- 2.3.3 Very Long Baseline Interferometry -- Principles of Geodetic VLBI -- The VLBI System -- The Technique of Space VLBI -- 2.3.4 Satellite Altimetry -- The Basics -- Satellite Altimeter and Its Operational Principle -- The Observed Quantity in Altimetry and Error Analysis -- 2.4 Gravimetry -- 2.4.1 Absolute Gravimetry -- Free-Fall Method -- Rise-and-Fall Method -- 2.4.2 Relative Gravimetry. 2.4.3 Airborne Gravimetry -- Fundamentals of Airborne Gravimetry -- System of Airborne Gravimetry -- 2.4.4 Satellite Gravimetry -- Determining the Earth´s Gravity Field by Means of a Ground Tracking Satellite -- Determining the Earth´s Gravity Field by Means of Satellite-to-Satellite Tracking -- Determining the Gravitational Acceleration Differences in the Earth´s Gravity Field by Satellite Gravity Gradiometry -- Review and Study Questions -- Chapter 3: Geodetic Datum and Geodetic Control Networks -- 3.1 The Horizontal Datum and Horizontal Control Networks -- 3.1.1 Geodetic Origin and the Horizontal Datum -- Geodetic Origin -- The Horizontal Datum -- 3.1.2 Methods of Establishing a Horizontal Control Network -- Traversing -- Triangulation -- Trilateration and Combination of Triangulation and Trilateration -- 3.1.3 Principles of Establishing a National Horizontal Control Network -- Network Establishment and Control Based on Hierarchical Orders -- Sufficient Accuracy -- Necessary Density -- Unified Specifications and Standards -- 3.1.4 Plans for Establishing a National Control Network -- First-Order Triangulation Chain -- Second-Order Triangulation Network -- Third- and Fourth-Order Triangulation Networks (Points) -- Traverse Control Network -- Overview of China´s Astro-Geodetic Network -- 3.1.5 Establishment of a Horizontal Control Network -- Requirements for the Position of Control Points -- Technical Design -- Data Collection -- Drawing Up Designs -- Reconnaissance for Site Selection -- Erection of Survey Marks and Monument Setting -- Erection of Survey Marks -- Monument Setting -- 3.2 The Vertical Datum and Vertical Control Networks -- 3.2.1 The Vertical Datum and Leveling Origin -- 3.2.2 The Sounding Datum -- Concept of the Sounding Datum -- The Sounding Datum Adopted by China. 3.2.3 Plans for Establishing China´s National Vertical Control Network and Its Precision -- 3.2.4 Leveling Route Design, Benchmark Site Selection, and Monumentation -- Design -- Site Selection -- Monumentation -- 3.3 The Three-Dimensional Coordinate Datum and Satellite Geodetic Control Networks -- 3.3.1 The Three-Dimensional Coordinate Datum -- Global Three-Dimensional Coordinate Datum -- Global IGS Network -- Global ILRS Network -- NASA Network -- EUROLAS -- WPLTN -- Global IVS Network -- European VLBI Network -- Asia-Pacific Telescope -- Continuous Observation of the Rotation of Earth -- VLBI Space Observatory Program -- VLBI Deep Space Exploration and China´s VLBI Network -- China´s Three-Dimensional Coordinate Datum: High-Precision GPS Geodetic Control Network -- A- and B-Order National GPS Networks -- First- and Second-Order Nationwide GPS Networks -- Crustal Movement Observation Network of China -- China´s National GPS Control Network 2000 -- Continuously Operating Reference System -- Basic Components of CORS -- CORS Networks in the World -- CORS Network in the USA -- EUREF Permanent Network -- COGRS System in the UK -- SAPOS Network in Germany -- COSMOS in Japan -- CORS Networks in China -- 3.3.2 Establishment of Satellite Geodetic Control Networks -- Principles for Establishment of GPS Control Networks -- Establishment Based on Hierarchical Orders -- Density -- Accuracy -- Technical Design of GPS Control Networks -- Design of GPS Control Network Datum -- Point Selection -- Marking the Position of the GPS Control Point -- Measurement Operations of GPS Control Networks -- Installation of Antennae -- Observational Operations -- Observational Records -- 3.4 The Gravity Datum and Gravity Control Networks -- 3.4.1 The Gravity Datum -- 3.4.2 Basic Gravimetric Networks in China -- China Gravity Basic Network 1957 -- China Gravity Basic Network 1985. China Gravity Basic Network 2000 -- 3.4.3 Establishment of China´s National Gravity Networks -- Fundamental Principles for Establishing China´s National Gravity Networks -- Plans for Establishing China National Gravity Networks -- Review and Study Questions -- Chapter 4: The Geoid and Different Height Systems -- 4.1 Gravity Potential of the Earth and Geoid -- 4.1.1 Gravity and Gravity Potential -- 4.1.2 Earth Gravity Field Model -- 4.1.3 Level Surface and the Geoid -- 4.2 Earth Ellipsoid and Normal Ellipsoid -- 4.2.1 Earth Ellipsoid -- 4.2.2 Normal Ellipsoid and Normal Gravity -- 4.2.3 Disturbing Potential -- 4.3 Height Systems -- 4.3.1 Requirements for Selecting Height Systems -- 4.3.2 Non-uniqueness of Leveled Height -- 4.3.3 Orthometric Height -- 4.3.4 Normal Height -- 4.3.5 Dynamic Height -- 4.3.6 Geopotential Number -- 4.3.7 Geodetic Height -- 4.4 Relationship and Transformation Between Different Height Systems -- 4.4.1 Relationship Between Orthometric Height, Normal Height, and Geodetic Height -- 4.4.2 Determination of Height Anomaly or Geoid Height -- 4.4.3 Grid Models of Height Anomaly or Geoid Height -- Review and Study Questions -- Chapter 5: Reference Ellipsoid and the Geodetic Coordinate System -- 5.1 Fundamentals of Spherical Trigonometry -- 5.1.1 Spherical Triangle -- 5.1.2 Spherical Excess -- 5.1.3 Formulae for Spherical Trigonometry -- Sine Formula -- Other Formulae -- Napier´s Rules for Right-Angled Spherical Triangles -- 5.2 Reference Ellipsoid -- 5.2.1 Reference Surface for Geodetic Surveying Computations -- 5.2.2 Geometric Parameters of the Reference Ellipsoid and Their Correlations -- Relationship Between a and b -- Relationship Between e and e -- Relationship Between a and c -- Relationship Between f and e -- Relationship Between W and V. 5.3 Relationship Between the Geodetic Coordinate System and the Geodetic Spatial Rectangular Coordinate System. A full introduction to geodetic data and systems written by well-known experts in their respective fields, this book is an ideal text for courses in geodesy and geomatics covering everything from coordinate and gravimetry data to geodetic systems of all types. EBL201708 Astrophysics and Astronomy SzGeCERN EBL Geography -- Mathematics BOOK Qu, Yunying Qiao, Shubo https://cds.cern.ch/auth.py?r=EBLIB_P_1731197 ebook n 201732 201708 21 PUBLIC https://catalogue.library.cern/legacy/2278913 BOOK MIGRATED 2278911 SzGeCERN 20190812235035.0 9783319059051 electronic version electronic version 9783319059051 print version 9783319059068 electronic version electronic version oai:cds.cern.ch:2278911 cerncds:BOOK EBL 1731088 eng GB3-5030 621.3678 Srivastava, Prashant K Remote sensing applications in environmental research Cham Springer 2014 223 p ebook Society of earth scientists series Foreword -- Contents -- About the Editors -- Introduction -- Part IClassical Remote Sensing Applications -- 1 Remote Sensing-Based Determination of Conifer Needle Flushing Phenology over Boreal-Dominant Regions -- Abstract -- 1…Introduction -- 2…Materials and Methods -- 2.1 Description of the Study Area and Data Requirements -- 2.2 Generation of AGDD Maps -- 2.3 Determination of AGDD and NDWI Thresholds for CNG Occurrence -- 2.4 Integration of both AGDD and NDWI Threshold for CNG Occurrence -- 2.5 Mapping of CNF Using the Best Prediction Criteria -- 3…Results and Discussion -- 3.1 Determination of AGDD Threshold for CNF Occurrence -- 3.2 Determination of NDWI Thresholds for CNF Occurrence -- 3.3 Integration of both AGDD and NDWI Thresholds -- 3.4 Spatial Dynamics of CNF Across the Landscape -- 4…Concluding Remarks -- Acknowledgements -- References -- 2 Information System for Integrated Watershed Management Using Remote Sensing and GIS -- Abstract -- 1…Introduction -- 1.1 Why Management of Natural Resources on Watershed Basis? -- 1.2 Role of Geographic Information System (GIS) and Remote Sensing (RS) in Watershed Management -- 1.3 Decision Support System in Watershed Management -- 1.4 Need for Advanced and Augmented Techniques for Watershed Management -- 2…Study Area -- 3…Conceptual Design -- 3.1 Data Used -- 3.2 Tools and Technologies Used -- 3.3 System Architecture -- 4…Online Generation and Implementation of WATMIS -- 5…Conclusion -- References -- 3 Sensitivity Exploration of SimSphere Land Surface Model Towards Its Use for Operational Products Development from Earth Observation Data -- Abstract -- 1…Introduction -- 2…Sensitivity Analysis: An Overview -- 3…Materials and Methods -- 3.1 SimSphere Model -- 3.2 The Bayesian GSA Method -- 3.3 BACCO Implementation -- 4…Results -- 4.1 Emulator Validation -- 4.2 SA Results -- 5…Discussion. 6…Conclusions -- Acknowledgments -- References -- 4 Remote Estimation of Land Surface Temperature for Different LULC Features of a Moist Deciduous Tropical Forest Region -- Abstract -- 1…Introduction -- 2…Materials and Methods -- 2.1 Study Area and Datasets -- 2.2 Image Interpretation for LULC -- 2.3 Surface Temperature Estimation -- 3…Results and Discussions -- Acknowledgments -- References -- 5 Geospatial Strategy for Estimation of Soil Organic Carbon in Tropical Wildlife Reserve -- Abstract -- 1…Introduction -- 2…Materials and Methods -- 2.1 Study Area -- 2.2 Data Used -- 2.3 Image Interpretation -- 2.4 Estimation of Soil Organic Carbon -- 3…Results and Discussion -- 3.1 Land Use Land Cover Classification -- 3.2 Bare Soil Index -- 3.3 Soil Type Map -- 3.4 Soil Organic Carbon and Regression Analysis -- 4…Conclusion -- Acknowledgment -- References -- Part IIAdvanced Remote Sensing Applications -- 6 A Comparative Assessment Between the Application of Fuzzy Unordered Rules Induction Algorithm and J48 Decision Tree Models in Spatial Prediction of Shallow Landslides at Lang Son City, Vietnam -- Abstract -- 1…Introduction -- 2…Study Area and Spatial Database -- 2.1 Study Area Characteristics -- 2.2 Spatial Database -- 2.2.1 Landslide Inventory -- 2.2.2 Digital Elevation Model and Derivatives -- 2.3 Lithology and Distance to Faults -- 2.4 Land Use and Soil Type -- 3…Methodology -- 3.1 Training and Validation Dataset -- 3.2 Fuzzy Unordered Rules Induction Algorithm -- 3.3 Decision Tree -- 3.4 Bagging -- 3.5 Generation of Landslide Susceptibility Maps -- 4…Validation and Comparison of Landslide Susceptibility Models -- 4.1 Model Performance and Evaluation -- 4.2 Model Validation -- 4.3 Relative Contribution of the Conditioning Factors -- 5…Conclusion -- Acknowledgement -- References. 7 Application of Geo-Spatial Technique for Flood Inundation Mapping of Low Lying Areas -- Abstract -- 1…Introduction -- 2…Study Area and Datasets -- 2.1 Tapi Basin -- 2.2 Surat City -- 2.2.1 Geology and Soil Conditions -- 2.2.2 Ground Water Table -- 2.2.3 Climate -- 2.2.4 Temperature and Rainfall -- 2.2.5 Demography/Population in the Study Area -- 2.3 Hydraulic Structures at LTB -- 2.3.1 Ukai Dam -- 2.3.2 Kakrapar Weir -- 2.3.3 Singanpur Weir -- 2.4 Flood Event 2006 -- 2.5 Data Collection -- 3…Methodology -- 4…Results and Discussion -- 5…Validation -- 6…Conclusion -- Acknowledgments -- References -- 8 Spatial Variations in Vegetation Fires and Carbon Monoxide Concentrations in South Asia -- Abstract -- 1…Introduction -- 2…Data Sets and Methodology -- 2.1 Vegetation Fires -- 2.2 MOPITT CO Retrievals -- 2.3 Aerosol Optical Depth (AOD) and Aerosol Small Mode Fraction (SMAF) -- 2.4 Spatial Gridding, Ordinary Linear Regression (OLR) and Locally Weighted regression -- 3…Results and Discussion -- Acknowledgements -- References -- 9 Land Use Fragmentation Analysis Using Remote Sensing and Fragstats -- Abstract -- 1…Introduction -- 2…Study Area -- 3…Materials and Methods -- 3.1 Classification of Satellite Data -- 3.2 Fragmentation Analysis -- 4…Result and Discussion -- 4.1 Land Use and Land Cover Distribution -- 4.2 Landscape Level Metrics -- 4.3 Class Level Metrics -- 4.4 Class Level Metric Analysis -- 4.5 Land Fragmented Class Analysis -- 4.6 Estimating Effects on Water Quality -- 5…Conclusion -- Acknowledgments -- References -- 10 Chlorophyll Retrieval Using Ground Based Hyperspectral Data from a Tropical Area of India Using Regression Algorithms -- Abstract -- 1…Introduction -- 2…Materials and Methods -- 2.1 Field Experiment and Canopy Spectral Measurements -- 2.2 Data Analysis -- 2.3 Chlorophyll Estimation -- 2.4 Statistical Analysis. 2.4.1 Descriptive Statistics -- 2.4.2 Regression Analysis -- 2.4.3 Paired t Test -- 3…Results and Discussion -- 3.1 Descriptive Statistics of the Data -- 3.2 Continuum Removal and REIP Evaluation -- 3.3 Calculation of Vegetation Indices -- 3.4 Relationship of Chlorophyll with Vegetation Indices -- 3.5 Sensitivity Analysis of the Empirical Relationships Developed -- 4…Conclusion -- Acknowledgment -- References -- 11 Remote Sensing Based Identification of Painted Rock Shelter Sites: Appraisal Using Advanced Wide Field Sensor, Neural Network and Field Observations -- Abstract -- 1…Introduction -- 2…Material and Methodology -- 2.1 Study Area -- 2.2 Satellite and GIS Datasets -- 2.3 Classifiers/Algorithms Implemented in this Study -- 2.3.1 Artificial Neural Network (ANN) -- 2.3.2 Maximum Likelihood Classification (MLC) -- 3…Accuracy Assessment of the Classified Images -- 4…Results and Discussion -- 4.1 Land Covers Distribution and Accuracy Assessment -- 4.2 Interpretation of the Results and Archaeological Relevance -- 5…Conclusion -- Acknowledgment -- References. Remote Sensing Applications in Environmental Research is the basis for advanced Earth Observation (EO) datasets used in environmental monitoring and research. Now that there are a number of satellites in orbit, EO has become imperative in today's sciences, weather and natural disaster prediction. This highly interdisciplinary reference work brings together diverse studies on remote sensing and GIS, from a theoretical background to its applications, represented through various case studies and the findings of new models. The book offers a comprehensive range of contributions by well-known scientists from around the world and opens a new window for students in presenting interdisciplinary and methodological resources on the latest research. It explores various key aspects and offers state-of-the-art research in a simplified form, describing remote sensing and GIS studies for those who are new to the field, as well as for established researchers. EBL201708 Engineering SzGeCERN BOOK Mukherjee, Saumitra Gupta, Manika Islam, Tanvir https://cds.cern.ch/auth.py?r=EBLIB_P_1731088 ebook n 201732 201708 21 PUBLIC BOOK DELETED 2278907 SzGeCERN 20171013220703.0 9783527682485 electronic version 9783527335220 electronic version EBL 1718754 eng TP248.65.E59 -- .C373 2014eb 541.595 Riva, Sergio Cascade biocatalysis integrating stereoselective and environmentally friendly reactions integrating stereoselective and environmentally friendly reactions Weinheim John Wiley & Sons 2014 489 p Cascade Biocatalysis -- Contents -- List of Contributors -- Preface -- Chapter 1 Directed Evolution of Ligninolytic Oxidoreductases: from Functional Expression to Stabilization and Beyond -- 1.1 Introduction -- 1.2 Directed Molecular Evolution -- 1.3 The Ligninolytic Enzymatic Consortium -- 1.4 Directed Evolution of Laccases -- 1.4.1 Directed Evolution of Low-Redox Potential Laccases -- 1.4.2 Directed Evolution of Medium-Redox Potential Laccases -- 1.4.3 Directed Evolution of Ligninolytic High-Redox Potential Laccases (HRPLs) -- 1.5 Directed Evolution of Peroxidases and Peroxygenases -- 1.6 Saccharomyces cerevisiae Biomolecular Tool Box -- 1.7 Conclusions and Outlook -- Acknowledgments -- Abbreviations -- References -- Chapter 2 New Trends in the In Situ Enzymatic Recycling of NAD(P)(H) Cofactors -- 2.1 Introduction -- 2.2 Recent Advancements in the Enzymatic Methods for the Recycling of NAD(P)(H) Coenzymes and Novel Regeneration Systems -- 2.2.1 In Situ Regeneration of Reduced NAD(P)H Cofactors -- 2.2.1.1 Formate Dehydrogenase and Glucose Dehydrogenase -- 2.2.1.2 Phosphite Dehydrogenase -- 2.2.1.3 Hydrogenase -- 2.2.1.4 Glucose 6-Phosphate Dehydrogenase -- 2.2.1.5 Alcohol Dehydrogenase -- 2.2.2 In Situ Regeneration of Oxidized NAD(P)+ Cofactors -- 2.2.2.1 Lactate Dehydrogenase -- 2.2.2.2 NAD(P)H Oxidase -- 2.2.2.3 Alcohol Dehydrogenase -- 2.2.2.4 Mediator-Coupled Enzyme Systems -- 2.3 Conclusions -- Acknowledgments -- References -- Chapter 3 Monooxygenase-Catalyzed Redox Cascade Biotransformations -- 3.1 Introduction -- 3.1.1 Scope of this Chapter -- 3.1.2 Enzymatic Oxygenation -- 3.1.3 Effective Cofactor Recycling -- 3.1.4 In Vitro Multistep Biocatalysis -- 3.1.5 Combined In Vitro and In Vivo Multistep Biocatalysis -- 3.1.6 In Vivo Multistep Biocatalysis -- 3.1.7 Chemo-Enzymatic Cascade Reactions. 3.1.8 Conclusion and Outlook -- References -- Chapter 4 Biocatalytic Redox Cascades Involving ω-Transaminases -- 4.1 Introduction -- 4.2 General Features of ω-Transaminases -- 4.2.1 Cascades to Shift the Equilibrium for Amination -- 4.3 Linear Cascade Reactions Involving ω-Transaminases -- 4.3.1 Redox and Redox-Neutral Cascade Reactions -- 4.3.2 Carbonyl Amination Followed by Spontaneous Ring Closure -- 4.3.3 Deracemization of Racemic Amines Employing Two ω-Transaminases -- 4.3.4 Cascade Reactions of ω-TAs with Lyases and C-C Hydrolases/Lipases -- 4.4 Concluding Remarks -- References -- Chapter 5 Multi-Enzyme Systems and Cascade Reactions Involving Cytochrome P450 Monooxygenases -- 5.1 Introduction -- 5.1.1 Multistep Cascade Reactions -- 5.1.2 Cytochrome P450 Monooxygenases -- 5.1.3 General Overview of presented cascade types -- 5.2 Physiological Cascade Reactions Involving P450s -- 5.2.1 Multistep Oxidations Catalyzed by a Single P450 -- 5.2.2 Multistep Oxidations Catalyzed by Multiple P450s -- 5.3 Artificial Cascade Reactions Involving P450s -- 5.3.1 Cascade Reactions Involving P450s and Cofactor Regenerating Enzymes -- 5.3.1.1 Cofactor Regeneration in Cell-Free Systems (In Vitro) -- 5.3.2 Cofactor Regeneration in Whole-Cell Biocatalysts -- 5.3.3 Artificial Enzyme Cascades Involving P450s and Other Enzymes -- 5.3.3.1 Artificial Multi-Enzyme Cascades with Isolated Enzymes -- 5.3.3.2 Artificial Multi-Enzyme Cascades In Vivo -- 5.4 Conclusions and Outlook -- References -- Chapter 6 Chemo-Enzymatic Cascade Reactions for the Synthesis of Glycoconjugates -- 6.1 Introduction -- 6.1.1 Impact of Glycoconjugates and Their Synthesis -- 6.1.2 Biocatalysts for the Synthesis of Glycoconjugates -- 6.1.2.1 Glycosyltransferases -- 6.1.2.2 Glycosidases and Glycosynthases -- 6.1.3 Definition of Cascade Reactions. 6.2 Sequential Syntheses -- 6.2.1 Nucleotide Sugars -- 6.2.2 Glycoconjugates -- 6.3 One-Pot Syntheses -- 6.3.1 Nucleotide Sugars -- 6.3.2 Glycan Structures -- 6.4 Convergent Syntheses -- 6.5 Conclusion -- Acknowledgment -- References -- Chapter 7 Synergies of Chemistry and Biochemistry for the Production of β-Amino Acids -- 7.1 Introduction -- 7.2 Dihydropyrimidinase -- 7.3 N-Carbamoyl-β-Alanine Amidohydrolase -- 7.4 Bienzymatic System for β-Amino Acid Production -- 7.5 Conclusions and Outlook -- Acknowledgments -- References -- Chapter 8 Racemizable Acyl Donors for Enzymatic Dynamic Kinetic Resolution -- 8.1 Introduction -- 8.2 The Tools -- 8.2.1 The Enzymes -- 8.2.2 The Racemization of Acyl Compounds -- 8.3 Applications of DKR to Acyl Compounds -- 8.3.1 Base-Catalyzed Racemization -- 8.3.2 DKR of Oxoesters -- 8.3.3 DKR of Thioesters -- 8.4 Conclusions -- Acknowledgments -- References -- Chapter 9 Stereoselective Hydrolase-Catalyzed Processes in Continuous-Flow Mode -- 9.1 Introduction -- 9.1.1 General Remarks on Reactions in Continuous-Flow Systems -- 9.1.1.1 Stereoselective Reactions in Continuous Flow Systems -- 9.1.1.2 Analytical Applications -- 9.1.2 Nonstereoselective Enzymatic Processes -- 9.2 Enzyme-Catalyzed Stereoselective Reactions in Continuous-Flow Systems -- 9.2.1 Stereoselective Processes Catalyzed by Nonhydrolytic Enzymes -- 9.2.2 Stereoselective Processes Catalyzed by Hydrolases -- 9.2.2.1 Applicable Types of Selectivities -- 9.2.2.2 Stereoselective Hydrolytic Reactions -- 9.2.2.3 Stereoselective Acylations -- 9.2.2.4 Effects of the Operation Conditions and the Mode of Enzyme Immobilization -- 9.3 Outlook and Perspectives -- References -- Chapter 10 Perspectives on Multienzyme Process Technology -- 10.1 Introduction -- 10.2 Multienzyme System Classification -- 10.3 Biocatalyst Options. 10.3.1 Transport Limitations -- 10.3.2 Compartmentalization -- 10.4 Reactor Options -- 10.5 Process Development -- 10.5.1 Recombinant DNA Technology -- 10.5.2 Process Engineering -- 10.6 Process Modeling -- 10.7 Future -- 10.8 Concluding Remarks -- References -- Chapter 11 Nitrile Converting Enzymes Involved in Natural and Synthetic Cascade Reactions -- 11.1 Introduction -- 11.2 Natural Cascades -- 11.2.1 Nitrile Hydratase - Amidase -- 11.2.2 Aldoxime Dehydratase-Nitrile Hydratase-Amidase -- 11.2.3 Other Natural Cascades -- 11.3 Artificial Cascades -- 11.3.1 Nitrile Hydratase-Amidase -- 11.3.2 Nitrilase-Amidase -- 11.3.3 Hydroxynitrile Lyase-Nitrilase -- 11.3.4 Hydroxynitrile Lyase-Nitrilase-Amidase -- 11.3.5 Hydroxynitrile Lyase-Nitrile Hydratase -- 11.3.6 Oxygenase-Nitrilase -- 11.3.7 Lipase-Nitrile Hydratase-Amidase -- 11.4 Conclusions and Future Use of These Enzymes -- Acknowledgments -- References -- Chapter 12 Mining Genomes for Nitrilases -- 12.1 Strategies in Nitrilase Search -- 12.2 Diversity of Nitrilase Sequences -- 12.2.1 Nitrilases in Bacteria -- 12.2.2 Nitrilases in Fungi -- 12.2.3 Nitrilases in Plants -- 12.3 Structure-Function Relationships -- 12.3.1 Sequence Clustering -- 12.3.2 Analysis of Specific Regions -- 12.3.3 Analysis of Enzyme Mutants -- 12.4 Enzyme Properties and Applications -- 12.4.1 Arylacetonitrilases -- 12.4.2 Aromatic Nitrilases -- 12.4.3 Aliphatic Nitrilases -- 12.4.4 Cyanide-Transforming Enzymes -- 12.5 Conclusions -- Acknowledgment -- References -- Chapter 13 Key-Study on the Kinetic Aspects of the In Situ NHase/AMase Cascade System of M. imperiale Resting Cells for Nitrile Bioconversion -- 13.1 Introduction -- 13.2 The Temperature Effect on the NHase-Amidase Bi-Enzymatic Cascade System. 13.3 Effect of Nitrile Concentration on NHase Activity and Stability -- 13.4 Effect of Nitrile on the AMase Activity and Stability -- 13.5 Concluding Remarks -- Acknowledgments -- References -- Chapter 14 Enzymatic Stereoselective Synthesis of β-Amino Acids -- 14.1 Introduction -- 14.2 Preparation of β-Amino Acids -- 14.2.1 Chemical Methods for Generating β-Amino Acids -- 14.2.2 Biocatalytic Preparation of Enantiopure β-Amino Acids -- 14.2.2.1 Lipases and Aminoacylases -- 14.2.2.2 Transaminases -- 14.2.2.3 Nitrile Converting Biocatalysts -- 14.3 Nitrile Hydrolysis Enzymes -- 14.3.1 Nitrilase -- 14.3.1.1 Nitrilase Structure and Mechanism -- 14.3.1.2 Nitrilase Substrate Selectivity -- 14.3.2 Nitrile Hydratase -- 14.3.2.1 Nitrile Hydratase Structure and Mechanism -- 14.3.3 Amidases -- 14.3.3.1 Amidase Structure and Mechanism -- 14.3.4 Nitrile Hydratase and Amidase Cascade Substrate Selectivity -- 14.4 Conclusion -- Acknowledgments -- References -- Chapter 15 New Applications of Transketolase: Cascade Reactions for Assay Development -- 15.1 Introduction -- 15.2 Cascade Reactions for Assaying Transketolase Activity In Vitro -- 15.2.1 Coupling with Other Enzymes as Auxiliary Agents -- 15.2.1.1 Coupling with NAD(H)-Dependent Dehydrogenases -- 15.2.1.2 Coupling with Bovine Serum Albumin -- 15.2.1.3 Coupling with BSA and Polyphenol Oxidase -- 15.2.2 Coupling with a Nonprotein Auxiliary Agent -- 15.2.2.1 Chemoenzymatic Cascade Reaction Based on Redox Chromophore -- 15.2.2.2 Phenol Red as pH Indicator -- 15.3 Cascade Reactions for Assaying Transketolase Activity by In Vivo Selection -- 15.3.1 Biocatalyzed Synthesis of Probes 16a,b -- 15.3.2 In Vitro Studies with Wild-Type TK and Probes 16a,b by LC/MS. 15.3.3 Detection of TK Activity in E. coli Auxotrophs from Amino Acid Precursors. This ready reference presents environmentally friendly and stereoselective methods of modern biocatalysis. The experienced and renowned team of editors have gathered top international authors for this book. They cover such emerging topics as chemoenzymatic methods and multistep enzymatic reactions, while showing how these novel methods and concepts can be used for practical applications. Multidisciplinary topics, including directed evolution, dynamic kinetic resolution, and continuous-flow methodology are also discussed. From the contents: * Directed Evolution of Ligninolytic Oxidoreductases: from Functional Expression to Stabilization and Beyond * New Trends in the In Situ Enzymatic Recycling of NAD(P)(H) Cofactors * Monooxygenase-Catalyzed Redox Cascade Biotransformations * Biocatalytic Redox Cascades Involving w-Transaminases * Multi-Enzyme Systems and Cascade Reactions Involving Cytochrome P450 Monooxygenases * Chemo-Enzymatic Cascade Reactions for the Synthesis of Glycoconjugates * Synergies of Chemistry and Biochemistry for the Production of Beta-Amino Acids * Racemizable Acyl Donors for Enzymatic Dynamic Kinetic Resolution * Stereoselective Hydrolase-Catalyzed Processes in Continuous-Flow Mode * Perspectives on Multienzyme Process Technology * Nitrile Converting Enzymes Involved in Natural and Synthetic Cascade Reactions * Mining Genomes for Nitrilases * Key-Study on the Kinetic Aspects of the In-Situ NHase/AMase Cascade System of M. imperiale Resting Cells for Nitrile Bioconversion * Enzymatic Stereoselective Synthesis of Beta-Amino Acids * New Applications of Transketolase: Cascade Reactions for Assay Development * Aldolases as Catalyst for the Synthesis of Carbohydrates and Analogs * Enzymatic Generation of Sialoconjugate Diversity * Methyltransferases in Biocatalysis * Chemoenzymatic Multistep One-Pot Processes. Fessner, Wolf-Dieter 9783527335220 print version oai:cds.cern.ch:2278907 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1718754 ebook ebook EBL Biocatalysis -- Environmental aspects EBL Catalysis -- Environmental aspects EBL201708 Chemical Physics and Chemistry SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2278905 SzGeCERN 20180410204927.0 9789400779488 electronic version 9789400779471 electronic version EBL 1698410 eng GB3-5030 003.3 Diodato, Nazzareno Storminess and environmental change climate forcing and responses in the Mediterranean region Dordrecht Springer 2014 286 p Advances in natural and technological hazards research 39 Preface -- Contents -- Contributors -- Reviewers -- Chapter 1: Introduction -- 1.1 Earth´s Events and Landscape Responses -- 1.2 Climate Hydrological Extremes: Observations and Impacts -- 1.3 Storms and Timing of Deluges and Records -- 1.4 Scale Issues -- 1.5 The SEC - Storminess and Environmental Changes -- References -- Part I: Observations and Model Development -- Chapter 2: Extreme Rainfalls in the Mediterranean Area -- 2.1 Introduction -- 2.2 Mediterranean Precipitation and Air Masses -- 2.3 Circulation Patterns and Precipitation -- 2.4 Trajectories, Frequency and Persistence of Upper Troughs and Cut-Off Lows -- 2.5 Mesoscale Precipitation Patterns -- 2.6 Climatology of Precipitation Maxima -- 2.6.1 Data and Methods -- 2.6.2 Trend Analysis of Extreme Precipitations -- 2.7 Results and Discussion -- 2.8 Conclusion -- References -- Chapter 3: Rainfalls and Storm Erosivity -- 3.1 Introduction: Precipitation Variability and Extremes -- 3.2 Precipitation Hazard Types -- 3.2.1 Convectional Precipitation -- 3.3 Storms Linked to the Multiple Damaging Hydrological Processes -- 3.4 Defining Storm Erosivity -- 3.5 Measuring and Estimating Storm Erosivity -- 3.6 Erosive Power of the Rainstorm and Its Effect on Bare Soils -- References -- Chapter 4: Finding Simplicity in Storm Erosivity Modelling -- 4.1 Introduction -- 4.2 Simplified (R)USLE Climatic Factor Equations -- 4.2.1 Storm Erosivity Models at Daily-and-Storm Event Scale -- 4.2.2 Storm Erosivity Models at Monthly Scale -- 4.2.3 Storm Erosivity Models at Annual Scale -- 4.2.4 Storm Erosivity Models at Long-Term Annual Mean -- 4.2.5 Storm Erosivity Models at Decadal Scale -- 4.2.6 Storm Erosivity Modelling from Satellite Data -- References -- Chapter 5: Characteristics of Flash Flood Regimes in the Mediterranean Region -- 5.1 Introduction. 5.2 The Prevailing Synoptic Conditions Leading to Heavy Precipitation Events in the NW and SE Mediterranean Regions -- 5.3 The Main Characteristics of the Flash Flood Regimes -- 5.3.1 Flash Flood Seasonality -- 5.3.2 Flash Flood Envelope Curves -- 5.3.3 Spatial Distribution of the Flash Flood Events -- 5.4 Conclusions -- References -- Part II: Storminess and Erosivity Modelling -- Chapter 6: Spatial Pattern Probabilities Exceeding Critical Threshold of Annual Mean Storm-Erosivity in Euro-Mediterranean Are... -- 6.1 Introduction -- 6.2 Materials and Methods -- 6.2.1 Study Area and Data Collection -- 6.2.2 Probability Cokriging -- 6.2.3 Decision-Making in the Presence of Uncertainty -- 6.3 Results and Discussions -- 6.3.1 Auxiliary Information Integration -- 6.3.2 Spatial Structural Modelling -- 6.3.3 Spatial Pattern of Estimation Exceeding Storm Erosivity Threshold -- 6.4 Cross-Validation Results and Spatial Error Qualitative Assessment -- 6.5 Concluding Remarks -- Appendix -- References -- Chapter 7: Landscape Scales of Erosive Storm Hazard Across the Mediterranean Region -- 7.1 Introduction -- 7.2 Materials and Methods -- 7.2.1 Data Geoprocessing -- 7.2.2 Storm Erosivity Model -- 7.2.3 Model Calibration and Testing -- 7.3 Results and Discussion -- 7.4 Monthly Storm Erosivity and Hazard Climate Mapping -- 7.5 Precipitation Anomaly Pattern and Erosivity Responses -- 7.6 Conclusions and Perspectives -- References -- Chapter 8: Monthly Erosive Storm Hazard Within River Basins of the Campania Region, Southern Italy -- 8.1 Introduction -- 8.2 Materials and Methods -- 8.3 Evaluating (R)USLE Climate Factor - Storm Erosivity -- 8.4 Time Invariant Erosivity Model Developing -- 8.5 Results and Discussions -- 8.5.1 Exploratory Analysis Based on Storm-Erosivity Data -- 8.5.2 Erosive Storm Hazard Spatial Patterns. 8.5.3 Typical Weather-Shape and Looking of Extreme Storms -- 8.6 Concluding Remarks -- References -- Chapter 9: Storm-Erosivity Model for Addressing Hydrological Effectiveness in France -- 9.1 Introduction -- 9.2 Materials and Methods -- 9.2.1 Study-Area and Topography -- 9.2.2 Climate and Data Sources -- 9.3 Multiscale Model for Generating Extreme Hydrological Events -- 9.4 Model Parameterization and Evaluation -- 9.5 Modelling Assumptions: Temporal and Spatial Patterns -- 9.6 Conclusions -- References -- Chapter 10: Modelling Long-Term Storm Erosivity Time-Series: A Case Study in the Western Swiss Plateau -- 10.1 Introduction -- 10.2 Environmental Setting and Modelling -- 10.2.1 Data Source -- 10.2.2 CSEM: A Model of Storm Erosivity Model -- 10.2.3 Model Parameterization and Evaluation -- 10.2.4 Temporal Variability Pattern of Storm Erosivity -- 10.3 Results and Discussions -- 10.3.1 Model Evaluation -- 10.4 Storm Erosivity Reconstruction and Hydrological Processes -- 10.5 Temporal Variographic Analysis -- 10.6 Conclusions -- References -- Chapter 11: Temporal and Spatial Patterns in Design-Storm Erosivity Over Sicily Region -- 11.1 Introduction -- 11.2 Study Area -- 11.3 Material and Methods -- 11.3.1 Modelling Erosivity Hazard at Gauged Points -- 11.3.2 Assessment of Erosivity Hazard Spatial Uncertainty -- 11.4 Regionalising and Mapping Storms Erosivity Hazard -- 11.5 Approaching Storm Erosivity Temporal Changes -- 11.6 Conclusions -- References -- Part III: Storminess and Environmental Change -- Chapter 12: Historical Reconstruction of Erosive Storms Driving Damaging Hydrological Events in the Bonea Basin, Southern Italy -- 12.1 Introduction -- 12.2 Location, Data and Methods -- 12.2.1 Extreme Hydrological Indices -- 12.3 Storm Erosivity Estimates Compatible with (R)USLE EI30 Approach -- 12.3.1 Storm Erosivity Simplified Model. 12.4 Model Evaluation -- 12.5 Storm Erosivity Reconstruction -- 12.6 Recurrence of Hydrological Events and Environmental Changes -- 12.7 Linking with the Higher Hydrological Responses -- 12.8 Conclusions -- References -- Chapter 13: Triggering Conditions and Runout Simulation of the San Mango sul Calore Debris Avalanche, Southern Italy -- 13.1 Introduction -- 13.2 Environmental Setting -- 13.3 Debris Avalanche Features and Effects -- 13.4 Triggering Condition -- 13.5 Dynamic Analysis -- References -- Chapter 14: Climate-Scale Modelling of Rainstorm-Induced Organic Carbon Losses in Land-Soil of Thune Alpine Areas, Switzerland -- 14.1 Introduction -- 14.2 Study-Area, Data Sources and Modelling Approach -- 14.3 Modelling Approach -- 14.3.1 Parameterization and Evaluation -- 14.3.2 Model Assumptions -- 14.4 TOC Historical Reconstruction -- References -- Chapter 15: Hydroclimatological Modelling of Organic Carbon Dissolution in Lake Maggiore, Northern Italy -- 15.1 Introduction -- 15.2 Study Area, Data Sources and Modelling Approach -- 15.2.1 Study Area -- 15.2.2 Data Sources -- 15.3 Dissolved Organic Carbon Climatological Model (DOCCLIM) -- 15.3.1 Model Parameterization -- 15.4 Results and Discussions -- 15.4.1 Model Parameterization and Evaluation -- 15.4.2 Modelling Assumptions -- 15.5 DOC Reconstruction -- 15.6 Summary and Conclusions -- References -- Part IV: History and Perspective -- Chapter 16: A Digression on the Analysis of Historical Series of Daily Data for the Characterization of Precipitation Dynamics -- 16.1 Introduction -- 16.2 Materials and Methods -- 16.2.1 Data and Study Sites -- 16.2.2 Precipitation as a Point Process: The ``Wet-Dry Spells´´ Paradigm -- 16.2.3 Fractal Behaviours in High Resolution Precipitation: Results from Literature About Analogies with Earthquakes. 16.3 Analysis of Historical Daily Data Recorded in Genoa and Palermo -- 16.3.1 Seasonality and Climatic Scales -- 16.3.2 Meteorological Scales Through the Wet-Dry Spell Representation -- 16.3.3 Distribution of Extreme Events -- 16.4 Conclusions -- References -- Chapter 17: Historical Climatology of Storm Events in the Mediterranean: A Case Study of Damaging Hydrological Events in Calab... -- 17.1 Introduction -- 17.2 Damage Data Collection -- 17.3 Introduction to the Study Area -- 17.3.1 1951 DHE -- 17.3.2 1953 DHE -- 17.3.3 1959 DHE -- 17.3.4 1972 DHE -- 17.3.5 1996 DHE: Crotone, East Calabria -- 17.3.6 2000 DHE: Soverato, South-East Calabria -- 17.3.7 2006 DHE: Vibo Valentia, Mid-West Calabria -- 17.4 Discussions and Conclusions -- References -- Chapter 18: Storminess Forecast Skills in Naples, Southern Italy -- 18.1 Introduction -- 18.2 Data and Methods -- 18.2.1 Statistical Forecasting Model -- 18.2.2 Ensemble Climate Procedure for Inferring Uncertainty in ESH Projection -- 18.2.3 Temporal-Pattern Detection and Autocorrelation -- 18.2.4 Testing Run Validation -- 18.3 Forecasting Experiment -- 18.4 Concluding Remarks and Future Directions -- References -- Index. Bringing together a wide range of disciplines, including climatology, hydrology, geomorphology and ecology, this book offers a thorough review of contemporary developments in the modelling of Mediterranean hydro-climatological processes in time and space. Bellocchi, Gianni 9789400779471 print version oai:cds.cern.ch:2278905 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1698410 ebook ebook EBL Global environmental change -- Mediterranean Region EBL201708 Computing and Computers SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2278902 SzGeCERN 20200222231825.0 9789400767096 electronic version electronic version 9789400767096 print version 9789400767102 electronic version electronic version oai:cds.cern.ch:2278902 cerncds:BOOK EBL 1698269 eng QD1-999 541.395 Patel, Anjali Environmentally benign catalysts for clean organic reactions Dordrecht Springer 2013 269 p ebook Preface -- Contents -- Contributors -- Chapter 1: Introduction -- 1 Introduction -- 2 Advantages of Supported HPAs -- References -- Chapter 2: Heteropoly Compounds as Ammoxidation Catalysts -- 1 Introduction -- 1.1 Heteropoly Acids (HPAs) and Their Classification -- 1.2 Heteropoly Acids as Useful Catalysts -- 1.3 Modification of Heteropoly Acids -- 1.4 Salts of Heteropoly Acids and Their Catalytic Functionalities -- 1.5 Supported Salts of HPAs -- 1.6 In Situ Synthesis of AMPA -- 2 Experimental -- 2.1 Chemicals and Supports -- 2.2 Preparation of Various Types of HPA Catalysts -- 2.2.1 Preparation of AMPA Using Different Phosphorous Precursors -- 2.2.2 Preparation of Supported AMPA Catalysts -- 2.2.3 Preparation of Vanadium Incorporated MPA -- 2.2.4 Preparation of Supported Vanadium Incorporated AMPA -- 2.2.5 In Situ Synthesis of AMPA -- 2.3 Characterization of HPAs -- 2.4 Ammoxidation of MP over HPA Salts -- 2.4.1 Ammoxidation of 2-Methylpyrazine (MP) -- 2.4.2 Evaluation of Catalysts -- 3 Results and Discussion -- 3.1 Studies on Bulk MPA and Vanadium Modified MPA (VMPA, VOMPA) Catalysts -- 3.2 Studies on TiO2 -Supported MPA, VMPA, and VOMPA -- 3.3 Studies on Bulk AMPA -- 3.3.1 Comparison of the Structure and Reactivity of the MPA and AMPA Prepared by Precipitation Method -- 3.3.2 Influence of Phosphate Precursor on Ammoxidation Activity -- 3.4 Studies on AMPA Supported on Nb2O5, SiO2, TiO2, ZrO2, and Al2 O3 -- 3.4.1 Half-Bandwidth Analysis: A Novel Method to Determine the Dispersion of HPA-Supported Catalysts[ 56 ] -- 3.5 In Situ Synthesized AMPA-Based Systems -- 3.5.1 AMPA/NbOPO4 Catalysts -- 3.5.2 Studies on AMPA/FePO4 Catalysts -- 3.5.3 Studies on AMPA/VOPO4 Catalysts -- 3.6 V, Sb, and Bi Modified AMPA-Based Systems -- 3.6.1 Influence of Calcination Temperature on the Modified AMPA Catalysts. 3.6.2 Influence of the Number of Transition Metal Atoms Incorporated to AMPA -- 3.7 Supported Vanadium Incorporated AMPA Systems -- 3.7.1 Comparison of the Catalytic Activity of Titania-Supported Bulk, Ammonium Salt, and Modified Ammonium Salt -- 4 Conclusions -- References -- Chapter 3: Transition Metal-Substituted Salt of Tungsten-Based Polyoxometalate-Supported Mesoporous Silica as a Catalyst for Organic Transformation Reactions -- 1 Introduction -- 1.1 Solid Acid Catalyst -- 1.2 Polyoxometalates -- 1.3 Heteropoly Acid -- 1.4 Synthesis -- 1.5 Structure of Heteropoly Acids -- 1.5.1 Keggin Structure -- 1.5.2 Wells-Dawson Structure -- 1.5.3 Anderson Structure -- 1.5.4 Silverton Structure -- 1.5.5 Waugh Structure -- 1.6 Acidic Properties of Heteropoly Acid -- 1.7 Redox Properties of Heteropoly Acid -- 1.8 Heteropoly Acid as Homogeneous Catalysis -- 1.9 Heteropoly Acid as Heterogeneous Catalysis -- 1.9.1 Supported Heteropoly Acids -- 1.9.2 HPA on Silica -- 2 Experimental -- 2.1 Cesium Salt of Phosphotungstic Acid-Supported MCM-41 Toward Acylation of Anisole -- 3 Results and Discussion -- 3.1 Characterization -- 3.1.1 Surface Area and Pore Size Distribution -- 3.1.2 FTIR Studies -- 3.1.3 SEM Studies -- 3.2 Catalytic Activity Toward Acylation of Anisole -- 3.3 Influence of Various Substrates -- 3.4 Cu Salt of Phosphotungstic Acid-Supported MCM-41 Toward Heck Vinylation Reaction -- 3.4.1 Preparation of Catalyst -- 3.4.2 Characterization -- X-Ray Diffraction -- Temperature-Programmed Reduction -- Transmission Electron Microscopy (TEM) -- 3.4.3 Catalytic Evaluation Toward Heck Vinylation -- 3.4.4 Influence of Various Substrates -- 3.5 Fe-Modified Lacunary Phosphotungstate-Supported MCM-41 as an Excellent Catalyst for Acid-Catalyzed as well as Oxidation Reaction -- 3.5.1 Characterization -- Surface Area and Pore Size Distribution. X-Ray Powder Diffraction Studies -- FTIR Studies -- 3.5.2 Catalytic Activity Toward Bromination of Phenol and Oxidation of trans -Stilbene -- 3.6 Cs Salt of Pd Substituted Lacunary Phosphotungstate- Supported MCM-41 Toward Hydrogenation of p -Nitrophenol to p -Aminophenol -- 3.6.1 Characterization -- X-Ray Powder Diffraction Studies -- 31 P MAS NMR Spectrum Studies -- Raman Spectroscopy -- XPS Spectrum Studies -- 3.6.2 Catalytic Activity Toward Hydrogenation of p -Nitrophenol to p -Aminophenol -- 4 Conclusions -- References -- Chapter 4: Vanadium-Substituted Tungstophosphoric Acid Supported on Titania: A Heterogeneous Catalyst for Selective Oxidative Cleavage of Olefins to Carbonyl Compounds at Room Temperature -- 1 Introduction -- 2 Experimental Section -- 2.1 Preparation of Catalysts -- 2.2 Preparation of VOTPA Catalyst -- 2.3 Preparation of Titania-Supported TPAV 1 Catalyst -- 3 Characterisation of Catalysts -- 4 General Reaction Procedure -- 5 Results and Discussion -- 6 Conclusions -- References -- Chapter 5: Supported Heteropoly Acids and Multicomponent Polyoxometalates as Eco-Friendly Solid Catalysts for Bulk and Fine Chemicals Synthesis -- 1 Introduction -- 2 Part 1: Zirconia-Supported Heteropoly Acids as Strong Solid Acid Catalysts -- 2.1 Experimental -- 2.1.1 Catalyst Preparation -- 2.1.2 Catalyst Characterization -- 2.1.3 Catalytic Activity Measurements -- 2.2 Results and Discussion -- 2.2.1 Physicochemical Characterization -- X-Ray Diffraction -- N 2 Sorption Studies -- TPD of Ammonia -- FTIR Pyridine Adsorption -- Raman Spectroscopy -- 31 P MAS NMR Spectroscopy -- 2.2.2 Catalytic Activity Studies -- Synthesis of Linear Alkyl Benzenes (LAB) -- Allylation of Anisole with Allyl Alcohol -- Veratrole Acylation with Benzoic Anhydride -- Alkylation of Phenol and p -Cresol with tert -Butanol -- Comparison of HPA/ZrO2 with Tungstated Zirconia. 3 Part 2: Multicomponent Polyoxometalates Immobilized on Solid Supports as Eco-Friendly Catalysts in Oxidation Reactions -- 3.1 Results and Discussion -- 3.1.1 Immobilization onto Amine-Modified Mesoporous Silica -- Mass NMR Spectroscopy -- Catalytic Study -- Anthracene Oxidation -- Oxyfunctionalization of Adamantane: Kinetics and Mechanistic Study -- 3.1.2 Inorganic-Organic Hybrid Materials Based on Functionalized Organosilica and Mesoporous Carbon -- Catalytic Oxidation of 2-Methylnaphthalene by 30 % aq. H2O2 -- 3.1.3 H5 [PMo10 V2 O40 ]·32.5H2O Immobilized on Ionic Liquid-Modified Mesoporous Silica -- 31 P Mass NMR Spectroscopy -- Catalytic Oxidation of Alcohol -- 4 Conclusions -- References -- Chapter 6: Glycerol Etherification with Light Alcohols Promoted by Supported H3PW12O40 -- 1 Introduction -- 2 Experimental Part -- 2.1 Catalyst Preparation -- 2.2 Microcalorimetry of NH3 Adsorption -- 2.3 Catalytic Tests -- 3 Results and Discussion -- 3.1 Catalyst Characterisations -- 3.1.1 Differential Thermal Analysis (DTA) -- 3.1.2 XRD Analysis -- 3.1.3 Microcalorimetry of NH3 Adsorption -- 3.2 Catalytic Activities -- 3.2.1 Glycerol Etherification in the Presence the Reference Solid Acid Catalyst: Amberlyst 35 -- 3.2.2 Catalytic Activity of Supported Heteropolyacids -- 3.2.3 Water Tolerance of HPA/C and Amberlyst 35 -- 3.2.4 Catalyst Resistance Towards Leaching -- 4 Conclusion -- References -- Chapter 7: Alkoxylation of Terpenes over Tungstophosphoric Acid Immobilised on Silica Support -- 1 Introduction -- 2 Experimental Section -- 2.1 Catalyst Preparation and Characterisation -- 2.2 Catalytic Experiments -- 3 Results and Discussion -- 3.1 Alkoxylation of α-Pinene -- 3.2 Alkoxylation of β-Pinene -- 3.3 Alkoxylation of Limonene -- 4 Conclusion -- References. Chapter 8: Effect of Acidity, Structure, and Stability of Supported 12-Tungstophosphoric Acid on Catalytic Reactions -- 1 Introduction -- 2 Experimental Section -- 2.1 Preparation of Supported H3 PW -- 2.2 Techniques of Characterization -- 2.3 Experimental Setup of the Reactions -- 2.3.1 Transalkylation of Benzene with Trimethylbenzene Using H3 PW/SiO2 Catalysts -- 2.3.2 Esterification of Acetic Acid with Ethanol Using H3 PW/SiO2 -Al2O3 Catalysts -- 2.3.3 Esterification of Oleic Acid with Ethanol Using H3 PW/ZrO2 Catalysts -- 2.3.4 Cyclization of Citronellal Using H3 PW/MCM-41 Catalysts -- 3 Results and Discussion -- 3.1 H 3 PW/SiO2 : Catalyst for Benzene Transalkylation with C9+ Aromatics for Production of Xylenes -- 3.2 H 3 PW/SiO2 -Al 2O3 : Catalyst for Esterification of Acetic Acid and Ethanol -- 3.3 H 3 PW/ZrO2 : Catalyst for Esterification of Oleic Acid and Ethanol -- 3.4 H 3 PW/MCM-41: Catalyst for Cyclization of (+)-Citronellal -- 4 Conclusion -- References -- Chapter 9: Biodiesel Production over 12-Tungstosilicic Acid Anchored to Different Mesoporous Silica Supports -- 1 Introduction -- 1.1 What Is Biodiesel? -- 1.1.1 How Is Biodiesel Produced? -- 1.2 Biodiesel Feedstocks -- 1.3 Catalysts for Transesterification and Esterification Reactions -- 1.3.1 Homogeneous Catalysts (Alkaline/Acid) -- 1.3.2 Enzyme Catalysts -- 1.3.3 Heterogeneous Catalysts -- 2 Experimental Section -- 2.1 Materials -- 2.1.1 Synthesis of the Supports -- Synthesis of MCM-41 -- Synthesis of SBA-15 -- 2.1.2 Synthesis of the Catalysts -- TSA Anchored to MCM-41 -- TSA Anchored to SBA-15 -- 2.1.3 Characterization -- n -Butylamine Acidity Determination -- 2.1.4 Catalytic Activity: Esterification and Transesterification -- Esterification of Oleic Acid -- Transesterification of Triglyceride Feedstocks (Jatropha Oil) -- 3 Results and Discussion -- 3.1 Characterization. 3.2 Esterification of Oleic Acid over TSA 3/MCM-41. Heterogeneous catalysis attracts researchers and industry because it satisfies most of green chemistry's requirements. Emphasizing the development of third generation catalysts, this book surveys trends and opportunities in academic and industrial research. EBL201708 Chemical Physics and Chemistry SzGeCERN EBL Chemical reactions BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1698269 ebook n 201732 201708 21 PUBLIC BOOK DELETED 2278891 SzGeCERN 20180515232350.0 9780124095953 electronic version 9780124104235 electronic version EBL 1665625 eng TJ808 -- .L86 2014eb 621.042 Lund, Henrik Renewable energy systems a smart energy systems approach to the choice and modeling of 100% renewable solutions 2nd ed. San Diego, CA Elsevier Science 2014 383 p Front Cover -- Renewable Energy Systems: A Smart Energy Systems Approach to the Choice and Modeling of 100% Renewable Solutions -- Copyright -- Contents -- Acknowledgments -- About the Contributors -- Abbreviations -- Chapter 1: Introduction -- 1. Book contents and structure -- 2. Definitions -- Choice Awareness -- Radical Technological Change -- Applied and Concrete Economics -- Renewable Energy -- Renewable Energy Systems -- Smart Energy Systems -- 3. Renewable versus sustainable -- Sustainable Energy -- Political Reasons for Renewable Energy -- Renewable Energy and Democracy -- Chapter 2: Theory: Choice Awareness Theses -- 1. Choice and change -- Choice/No Choice at the Individual Level -- Choice/No Choice at the Societal Level -- Radical Technological Change -- 2. Choice perception and elimination -- Choice Perception -- Choice-Eliminating Mechanisms -- The First Choice Awareness Thesis -- 3. Raising choice awareness -- The Second Choice Awareness Thesis -- Chapter 3: Methodology: Choice Awareness Strategies -- 1. Technical alternatives -- 2. Economic feasibility studies -- 3. Public regulation -- 4. Democratic infrastructure -- 5. Research methodology -- Chapter 4: Tool: The EnergyPLAN Energy System Analysis Model -- 1. Overall considerations -- The Two Major Challenges of 100 Percent Renewable Energy Systems -- Three Implementation Phases -- Different Types of Energy System Analysis Models -- Hourly Simulation Models at the National Level -- 2. The EnergyPLAN model -- Purpose and Application -- Energy Systems Analysis Structure -- Validation of Model -- Energy System Analysis Methodology -- A Step-by-Step Approach to National Energy Systems Analysis -- Step 1: Defining Reference Energy Demands -- Step 2: Defining a Reference Energy Supply System -- Step 3: Defining the Regulation of the Energy Supply System -- Step 4: Defining Alternatives. Sister Models to EnergyPLAN -- 3. Reflections -- Chapter 5: Analysis: Large-Scale Integration of Renewable Energy -- 1. The Danish reference energy system -- Electrification of Transportation Scenario -- 2. Excess electricity diagrams -- 3. Optimal combinations of res -- 4. Flexible energy systems -- Flexible Energy System -- Flexible Energy Systems Including Electricity for Transportation -- 5. Different energy systems -- 6. Grid stability -- 7. Local energy markets -- 8. Integration of transportation -- 9. Electric vehicles and V2G -- This Section Is Courtesy of Guest Writer Willet Kempton -- 10. Electricity storage options -- 11. Reflections -- Principles and Methodologies -- Conclusions and Recommendations -- Chapter 6: Analysis: Smart Energy Systems and Infrastructures -- 1. Definitions -- Smart Electricity Grid -- Smart Thermal Grids (District Heating and Cooling) -- Smart Gas Grids -- Smart Energy Systems -- 2. The role of district heating -- This Section is Courtesy of Guest Writers Brian Vad Mathiesen and Bernd Möller -- 3. Economic crisis and infrastructure investments -- This Section is Courtesy of Guest Writer Frede Hvelplund -- 4. Zero energy buildings and smart grids -- 5. Future power plants and smart energy systems -- This Section is Courtesy of Guest Writers Anders N. Andersen, Poul Østergaard, Brian Vad Mathiesen, and David Connolly -- 6. Renewable energy transportation fuel pathways -- This Section is Courtesy of Guest Writers David Connolly and Brian Vad Mathiesen -- Direct Electrification -- Fermentation -- Bioenergy Hydrogenation -- Co-electrolysis -- Comparison -- 7. Reflections -- Principles and Methodologies -- Conclusions and Recommendations -- Chapter 7: Analysis: 100 Percent Renewable Energy Systems -- 1. The los Angeles community college district case -- This Section Is Courtesy of Guest Writer Woodrow W. Clark II. 2. The first approach to coherent renewable energy systems -- 3. The Danish society of engineers' energy plan -- The IDA Climate Plan -- This Section Is Courtesy of Guest Writer Brian Vad Mathiesen -- 4. The ceesa coherent 100 percent renewable energy scenario -- This Section Is Courtesy of Guest Writer Brian Vad Mathiesen -- Transportation Fuel Pathway -- Primary Energy and Biomass Resources -- Smart Energy Systems and Cross-Sector Integration -- Cost and Job Estimates Based on Concrete Institutional Economics -- 5. The potential of renewable energy systems in china -- This Section Is Courtesy of Guest Writers Wen Liu and Xiliang Zhang -- 6. Reflections -- Principles and Methodologies -- Conclusions and Recommendations -- Chapter 8: Empirical Examples: Choice Awareness Cases -- 1. Case I: nordkraft power station (1982-1983) -- The ``No Alternative´´ Situation -- The Concrete Alternative Proposal -- Conclusions and Reflections -- 2. Case II: Aalborg heat planning (1984-1987) -- The Alternatives in Question -- Choice-Eliminating Strategies -- Conclusions and Reflections -- 3. Case III: The evaluation of biogas (1990-1992) -- The Applied Neoclassical Cost-Benefit Analysis -- Feasibility Study Based on Concrete Institutional Economics -- Conclusions and Reflections -- 4. Case IV: Nordjyllandsværket (1991-1994) -- The No Alternative Situation -- The Alternative Proposal -- Discussion of the Alternative -- Conclusions and Reflections -- 5. Case V: The transmission line case (1992-1996) -- Shifting Arguments for the Need -- Security of Supply -- Concrete Technical Alternatives -- Conclusions and Reflections -- 6. Case VI: European environmental impact assessment procedures (1993-1997) -- Implementation of the EIA Principles in Denmark -- Example1: Nordjyllandsværket -- Example2: High-Voltage Transmission Lines -- Example3: Avedøreværket. Conclusions and Reflections -- 7. Case VII: The German lausitz case (1993-1994) -- The Alternative -- Conclusions and Reflections -- 8. Case VIII: The green energy plan (1996) -- The Design of the Concrete Technical Alternative -- Evaluation and Comparisons -- Conclusions and Reflections -- 9. Case IX: The Thai power station case (1999) -- The Hin Krut Power Station in Prachuap Khiri Khan -- Official Economic Objectives for Thailand -- The Design of a Concrete Technical Alternative -- Comparative Feasibility Study -- Conclusions and Reflections -- 10. Case X: The economic council case (2002-2003) -- Missing Capacity Benefits (Unfair Premises) -- Balance of Payment, Employment, and Technological Innovation -- Conclusions and Reflections -- 11. Case XI: The north Carolina case (2006-2007) -- This Section Is Courtesy of Guest Writer Paul Quinlan -- Resource Assessment and Feasibility Study -- Conclusions and Reflections -- 12. Case XII: The IDA energy plan 2030 (2006-2007) -- Conclusions and Reflections -- 13. Summary -- Existing Organizations Initiate Old Technology Proposals -- Objectives of Radical Technological Change Are Disregarded -- Alternatives Must Come from Someone Else -- Institutional Change Is Essential -- Applied Neoclassical Economics Provide Irrelevant Information -- Concrete Institutional Economics Provide Relevant Information -- Concrete Alternatives Raise Choice Awareness -- Concrete Alternatives Help Identify Institutional Barriers -- 14. Conclusions -- Chapter 9: Conclusions and Recommendations -- 1. Conclusions -- Choice Awareness -- Renewable Energy Systems -- 2. Recommendations -- 100 Percent Renewable Energy Systems -- Large-Scale Integration of Renewable Energy -- The New Coal-Fired Power Station in Germany -- Slowdown in Onshore Wind Power -- Bibliography -- Index. In this new edition of Renewable Energy Systems, globally recognized renewable energy researcher and professor, Henrik Lund, sets forth a straightforward, comprehensive methodology for comparing different energy systems' abilities to integrate fluctuating and intermittent renewable energy sources. The book does this by presenting an energy system analysis methodology and offering a freely available accompanying software tool, EnergyPLAN, which automates and simplifies the calculations supporting such a detailed comparative analysis. The book provides the results of more than fifteen comprehensive energy system analysis studies, examines the large-scale integration of renewable energy into the present system, and presents concrete design examples derived from a dozen renewable energy systems around the globe. Renewable Energy Systems, Second Edition also undertakes the socio-political realities governing the implementation of renewable energy systems by introducing a theoretical framework approach aimed at understanding how major technological changes, such as renewable energy, can be implemented at both the national and international levels. Provides an introduction to the technical design of renewable energy systems Demonstrates how to analyze the feasibility and efficiency of large-scale systems to help implementers avoid costly trial and error Addresses the socio-political challenge of implementing the shift to renewables Free companion analysis software empowers energy professionals to crunch data for their own projects Features a dozen extensive case studies from around the globe that provide real-world templates for new installations. 9780124104235 print version oai:cds.cern.ch:2278891 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1665625 ebook ebook EBL201708 Engineering SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2278879 SzGeCERN 20181005224056.0 9783319022222 electronic version 9783319022215 electronic version EBL 1593060 eng P1-1091 006.35 Bárcena, Elena Languages for specific purposes in the digital era Cham Springer 2014 354 p Educational linguistics 19 On LSPs in the digital era -- Acknowledgements -- Contents -- Contributors -- Part I: General Issues About Learning Languages with Computers -- Chapter 1: Information Technology and Languages for Specific Purposes in the EHEA: Options and Challenges for the Knowledge Society -- 1.1 Introduction -- 1.2 The Relationship Between IT and LSP: An Overview -- 1.3 Languages for Specific Purposes in the New European Context -- 1.4 The Bologna Process and the Common European Framework of Reference for Languages -- 1.5 Integration of IT in LSP in the New Context -- 1.5.1 Roles of the LSP Teacher and Learner -- 1.5.2 Online Learning -- 1.5.3 Integrating Language and Content -- 1.5.4 Developing Academic Skills -- 1.5.5 Using Technology for Collaboration, Communication, and Lifelong Learning -- 1.6 Quantum LEAP: Development of a Technology-Based LSP Project -- 1.6.1 Rationale for Creating an Online Learning Environment for EAP -- 1.6.2 Pedagogic Approach -- 1.6.3 Evaluation and Further Developments -- 1.7 Conclusions -- References -- Chapter 2: Fostering Learner Autonomy in Technology- Enhanced ESP Courses -- 2.1 Introduction -- 2.2 Approaches and Methodology - Independent & Autonomous Learning -- 2.3 Examples of Initiatives Conducted at UPV to Promote Independent Learning -- 2.3.1 Intermediate Online English -- 2.3.1.1 Organisation of the Course -- 2.3.1.2 Learner Autonomy in Intermediate Online English -- Self-Explanatory Reference Materials -- Hints to Aid Exercise Completion -- Feedback -- Performance/Progress Reports -- Help Files -- Audio Enhancement of Written Text -- Self-Assessment Exercises with Limitation in Number of Attempts and Time Control -- 2.3.2 "Docencia en red" (Networked Teaching) -- 2.4 Learning Objects -- 2.5 Conclusion -- References. Chapter 3: The I-AGENT Project: Blended Learning Proposal for Professional English Integrating an AI Extended Version of Moodle with Classroom Work for the Practice of Oral Skills -- 3.1 Introduction -- 3.2 Blended Learning: State of the Art -- 3.3 Moodle as a Learning Management System -- 3.3.1 Main Characteristics -- 3.3.2 Moodle and Computer-Assisted Language Learning -- 3.4 Set-Up of a Business English Course with Moodle: I-AGENT -- 3.4.1 Comparative Analysis with Other LMS for the Purpose of a Specialized English Course -- 3.4.2 I-AGENT Business English Online -- 3.5 Foreign Language Methodology Applied to I-AGENT -- 3.5.1 The Development of Oral Skills -- 3.6 Face-to-Face Tasks: The Other Half of I-AGENT -- 3.7 Conclusions -- References -- Chapter 4: Student Assessment in the Online Language Learning Materials Developed and Delivered Through the InGenio System -- 4.1 Introduction -- 4.2 General Context and the InGenio Tool -- 4.3 Student Assessment as Part of the Language Learning Process -- 4.3.1 Assessing Reading -- 4.3.2 Assessing Writing -- 4.3.3 Assessing Listening -- 4.3.4 Assessing Speaking -- 4.4 Modalities of Assessment in InGenio and in the FCE Online Course and Tester : Self-Assessment and Tutor-Assessment -- 4.5 Conclusions -- References -- Part II: Computer-Assisted Experiences for the Development of Language Competences and Skills -- Chapter 5: Internet Dictionaries for Teaching and Learning Business English in Spanish Universities -- 5.1 The Function Theory of Lexicography -- 5.2 An Extra-Lexicographical Social Situation: The Teaching and Learning of Business English in Spanish Universities -- 5.3 Basic Requirements of Pedagogical Specialized Lexicography -- 5.4 Evaluating Free Internet Dictionaries for Teaching and Learning Business English -- 5.5 Moving Ahead: Free Independent Dictionaries for Independent Online Reading. 5.6 Conclusions: Free Internet Specialised Dictionaries for Teaching and Learning Purposes -- References -- Chapter 6: Moodle Glossary Tasks for Teaching Legal English -- 6.1 Background -- 6.2 First Cycle: Legal English Glossary -- 6.2.1 Review of Previous Studies -- 6.2.2 Design of Legal Glossary Task -- 6.3 Legal English Glossary: Results and Evaluation -- 6.3.1 Qualitative Results: Student Response -- 6.3.2 Quantitative Results: Use and Task Achievement -- 6.3.3 Quantitative Results: Editing and Comments -- 6.3.4 Quantitative Results: Exam Performance -- 6.4 Second Cycle: Encyclopaedia of Common Law Countries -- 6.4.1 Review of Previous Studies -- 6.4.2 Design of Encyclopaedia of Common Law Task -- 6.4.3 Qualitative Results: Student Response -- 6.4.4 Quantitative Results: Use and Task Achievement -- 6.4.5 Quantitative Results: Editing and Comments -- 6.5 Discussion -- 6.6 Conclusions -- Bibliography and Webliography -- Web Resources -- Chapter 7: Promoting Specialised Vocabulary Learning Through Computer-Assisted Instruction -- 7.1 Introduction -- 7.2 Key Issues on ICT-Based Pedagogy and Vocabulary Instruction -- 7.2.1 Vocabulary Learning and Instruction -- 7.2.2 Specialised Vocabulary -- 7.2.3 The Concept of Literacy -- 7.2.4 Computer-Assisted Vocabulary Learning -- 7.2.5 Lifelong Learning and Learning Autonomy -- 7.3 Literature Review -- 7.4 The Maritime Glossary -- 7.4.1 Context and Participants -- 7.4.2 Objectives -- 7.4.3 Description of the Project -- 7.4.4 Students' Opinions and Perceptions of the Glossary -- 7.5 Conclusions -- Appendices -- Appendix 7.1 -- Appendix 7.2 -- References -- Chapter 8: A Practical Application of Wikis for Learning Business English as a Second Language -- 8.1 Introducción -- 8.2 Diagnosis -- 8.3 Theoretical Framework -- 8.3.1 Wikis -- 8.3.2 Wikis in Education -- 8.4 Methodology -- 8.4.1 Subject Development. 8.4.2 Objectives and Phases -- 8.5 Results -- 8.6 Conclusions -- References -- Part III: Corpus-Based Approaches to/Applications for Teaching and Processing Languages -- Chapter 9: A Genre-Based Approach to the Teaching of Legal and Business English: The GENTT Specialized Corpus in the LSP Classroom -- 9.1 Introduction -- 9.2 The Use of Corpora in LSP Teaching: Contextualizing LSP -- 9.3 The GENTT Corpus of Specialized Genres -- 9.3.1 Main Functionalities of the Corpus -- 9.3.2 A See-Through Learning Approach -- 9.4 The GENTT Corpus in the Legal English Classroom -- 9.4.1 Legal English -- 9.4.2 Corpus-Based Activities in the Teaching of Legal English -- 9.4.2.1 Activity 1 -- 9.4.2.2 Activity 2 -- 9.4.2.3 Activity 3 -- 9.5 The GENTT Corpus in the Business English Classroom -- 9.5.1 Business English: A Trendy Cover Term? -- 9.5.2 Corpus-Based Activities in the Teaching of Business English -- 9.5.2.1 Activity 1 -- 9.5.2.2 Activity 2 -- 9.5.2.3 Additional Activities -- 9.6 Conclusions -- References -- Chapter 10: Innovative Methods for LSP-Teaching: How We Use Corpora to Teach Business Russian -- 10.1 Introduction -- 10.2 Simplifying and Enhancing Corpora for Teaching -- 10.3 Corpus-Based Approaches to Language Learning and Teaching -- 10.3.1 Vocabulary Acquisition -- 10.3.1.1 Frequency Lists -- 10.3.1.2 Automatic Extraction of Collocations -- 10.3.1.3 Compound and Affix Searching -- 10.3.1.4 Using DIY Corpora for LSP Teaching -- 10.3.2 Register Recognition and Differentiation: "Tagging for Teaching" -- 10.3.2.1 Genre Classification -- 10.3.2.2 Difficulty Ranking -- 10.3.2.3 Text Mining for Specific Grammatical Forms -- 10.4 Corpus-Based Exercises -- 10.5 Conclusions -- References -- Chapter 11: Automatic Specialized vs. Non-specialized Text Differentiation: The Usability of Grammatical Features in a Latin Multilingual Context -- 11.1 Introduction. 11.2 Methodology -- 11.2.1 Selection of Linguistic Features -- 11.2.2 Combining Sequences of Linguistic Features and Lemmas -- 11.2.3 Sentence Classifier and Evaluation Methodology -- 11.3 Experiments and Results -- 11.3.1 Associations Within Single Features -- 11.3.2 Associations Within Sequences of Features -- 11.4 Conclusions -- Appendix I. Examples of Plain Text Passages and Their Corresponding Representation -- Appendix II. Most Frequently Used Decision Rules by RlC Over the Best Experiment to Predict Category SPE -- References -- Chapter 12: Exploring the Potential of Corpus Use in Translation Training: New Approaches for Incorporating Software in Danish Translation Course Design -- 12.1 Introduction -- 12.2 Tools and Methods Used -- 12.3 Stylistic Contrasts Between Spanish and Danish -- 12.4 An Applied Lexicographic Approach -- 12.5 Corpus Assisted Quality Assessment -- 12.6 Conclusions -- References -- Part IV: Processing Natural Languages -- Chapter 13: Representing Environmental Knowledge in EcoLexicon -- 13.1 Introduction -- 13.2 Macrostructure and Microstructure -- 13.2.1 Macrostructure: The Environmental Event and the Domain Ontology -- 13.2.2 Conceptual Relations and Networks -- 13.2.3 Definitions -- 13.2.4 Linguistic and Graphical Information -- 13.3 Situated Cognition and Conceptual Dynamism in EcoLexicon -- 13.3.1 Dynamism Across Conceptual Networks -- 13.3.2 Dynamism Within Conceptual Networks -- 13.4 Conclusions -- References -- Chapter 14: New Approaches to Audiovisual Translation: The Usefulness of Corpus-Based Studies for the Teaching of Dubbing and Subtitling -- 14.1 Introduction -- 14.2 What Is Meant by AVT? -- 14.2.1 Some Characteristics of Dubbing -- 14.2.2 Some Characteristics of Subtitling -- 14.3 Audiovisual Translation Training at Spanish Universities -- 14.4 Resources and Software for AVT. 14.5 New Approaches to AVT: Corpus Linguistics. This book features the work of leading researchers who review state-of-the-art developments in computer-assisted language learning. It includes case studies as well as theoretical analysis of the links between CALL and natural language processing. Read, Timothy Arús, Jorge 9783319022215 print version oai:cds.cern.ch:2278879 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1593060 ebook ebook EBL Applied linguistics EBL Computational linguistics EBL Language and languages EBL201708 Computing and Computers SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2278875 SzGeCERN 20190226231416.0 9783642406805 electronic version 9783642406799 electronic version 9783642406799 print version oai:cds.cern.ch:2278875 cerncds:BOOK EBL 1592758 eng TA1-2040 621.04 Ferreira, Germán Alternative energies updates on progress Berlin Springer 2013 286 p ebook Advanced structured materials 34 Contents -- 1 Municipal Solid Waste -- Abstract -- 1…Introduction -- 1.1 Municipal Solid Waste Production and Management Policies -- 1.2 Collection, Sorting and Transport -- 1.3 Technologies to Stabilise the Organic Fraction of the Municipal Solid Waste: Anaerobic Digestion -- 1.4 Evolution of Anaerobic Digestion Technology for Municipal Solid Waste -- 2…Basic Principles of Municipal Solid Waste Anaerobic Digestion -- 2.1 Steps of the Anaerobic Digestion Process -- 2.1.1 Disintegration and Hydrolysis -- 2.1.2 Acidogenesis -- 2.1.3 Acetogenesis -- 2.1.4 Methanogenesis -- 2.2 Environmental and Operational Factors Affecting the Anaerobic Digestion Performance -- 2.2.1 Nutrients -- 2.2.2 pH -- 2.2.3 Alkalinity and Volatile Fatty Acids -- 2.2.4 Temperature -- 2.2.5 Mixing -- 2.2.6 Hydraulic and Solid Retention Time -- 2.3 Inhibitors of the Anaerobic Digestion Process -- 2.3.1 Oxygen -- 2.3.2 Substrate Competition -- 2.3.3 Ammonia -- 2.3.4 Volatile and Long Chain Fatty Acids -- 2.3.5 Cations and Heavy Metals -- 2.3.6 Xenobiotics -- 2.4 Final Destination of the Digestate -- 3…Methods for Improving Anaerobic Digestion Yields -- 3.1 Pre-treatments -- 3.1.1 Biological Pre-treatments -- 3.1.2 Physical Pre-treatments -- 3.1.3 Chemical Pre-treatments -- 3.2 Anaerobic Co-Digestion -- 3.2.1 Co-Digestion Between Municipal Solid Waste and Sewage Sludge -- 3.2.2 Co-Digestion Between Municipal Solid Waste and Industrial Wastes -- References -- 2 Combustion Behavior of Novel Energy Crops in Domestic Boilers: Poplar and Brassica Experiences -- Abstract -- 1…Perspectives of the Energy Crops Use as Biofuels for the Heating Sector in Europe: The Spanish Case -- 2…Thermal Conversion of Two Energy Crops for Heating Purposes: Brassica and Poplar Experiences -- 2.1 Fuel Properties -- 2.2 Conversion System Characteristics. 2.3 Combustion Tests in the 250 kWth Spanish Fixed-Grate Technology -- 2.4 Sampling of Residual Bottom Ash and Sintering Degree Assessment -- 2.5 Experimental Results During Brassica and Poplar Conversion -- 3…Future Research Needs Focused on Commercial Heating Application of Energy Crops in the Spanish Bioenergy Market -- 4…Summary and Conclusions -- Acknowledgments -- References -- 3 Dual-Fuel (Natural Gas/Biodiesel) Engines: Fundamentals, Performance and Environmental Impact -- Abstract -- 1…Introduction -- 2…Fuels -- 2.1 Natural Gas -- 2.1.1 What's Natural Gas? -- 2.1.2 Why Natural Gas? -- 2.2 Biodiesel -- 2.2.1 What's Biodiesel? -- 2.2.2 Why Biodiesel? -- 3…Dual-Fuel Diesel Engine -- 4…Natural Gas and Biodiesel as Alternative Fuels to CI Engine -- 4.1 Experimental Procedure -- 4.2 Results and Analysis -- 5…Concluding Remarks -- Acknowledgments -- References -- 4 Thermoeconomic Evaluation of Biomass Conversion Systems -- Abstract -- 1…Introduction -- 2…Exergy Analysis -- 3…Biomass Plant Case Study -- 4…Thermoeconomic Analysis -- 4.1 Symbolic Thermoeconomics Fundamentals -- 4.2 Decomposition of Exergy Cost According to Irreversibility -- 5…Thermoeconomic Analysis of the ASF Biomass Plant -- 6…Conclusions -- 6.1 Case Study Conclusions -- 6.2 General Conclusions -- References -- 5 Effect of Transitional Turbulence Modelling on a Straight Blade Vertical Axis Wind Turbine -- Abstract -- 1…Introduction -- 2…Turbulence Modelling of Vertical Axis Wind Turbines -- 3…Laminar-Turbulent Transition -- 4…Computational Scheme -- 4.1 Computational Domain and Grid -- 4.2 Numerical Simulations -- 5…Results and Discussion -- 6…Conclusions -- Acknowledgments -- References -- 6 Design Optimization of a Vertical Axis Water Turbine with CFD -- Abstract -- 1…Introduction -- 2…Vertical Axis Turbine Operation -- 3…Geometrical Configuration and Mesh Generation. 4…Numerical Simulation Methodology -- 5…Two-dimensional Verification and Validation -- 6…Two-dimensional Optimization Parametric Studies -- 7…Three-dimensional Simulations -- 8…Conclusions -- References -- 7 Hydrogen Generation -- Abstract -- 1…Hydrogen Economy -- 2…Energy and Water Commodities -- 2.1 Energy Sector -- 2.2 Water Sector -- 3…Hydrogen Production -- 4…Water Electrolysis -- 4.1 Reaction Mechanisms of Water Electrolysis -- 4.2 Hydrogen Evolution Reaction (HER) -- 4.3 Oxygen Evolution Reaction (OER) -- 4.3.1 Chlorine Evolution Reaction (CER) -- 4.4 Catalysts for Water Electrolysis -- 4.4.1 Catalyst Materials -- HER Catalysts -- OER Catalysts -- Acknowledgments -- References -- 8 Structure and Transport Properties of Polymer Electrolyte Membranes Probed at Microscopic Scales -- Abstract -- 1…Introduction -- 2…Morphology of Hydrated Membranes -- 2.1 Microstructure Probed by Small-Angle Scattering -- 2.2 Numerical Simulations -- 2.3 Sorption Properties -- 3…Dynamics of Water and Protons in Membranes -- 3.1 Numerical Simulations -- 3.2 Motions at Molecular Level Probed by QENS -- 3.2.1 QENS: A Qualitative Tool for Comparing Membranes -- 3.2.2 QENS: A Quantitative Tool for Molecular Motions and Mechanisms -- Gaussian Model for Localized Translational Diffusion -- Proton and Water Diffusion Mechanisms -- Analysis of Quantitative Diffusion Parameters -- 3.3 Interactions at Mesoscopic Level Probed by NMR Relaxometry -- 4…Model Systems for Controlled Confining Structures -- 5…Conclusions -- 9 Exergy Analysis as a Tool to Analyze the Performance of Water Depuration Processes -- Abstract -- 1…Introduction -- 2…WWTPs Description -- 3…Methodology: Exergy Analysis -- 3.1 Exergy Flows Calculation -- 4…Case Studies -- 4.1 Case Study 1: La Almozara WWTP -- 4.2 Case Study 2: La Cartuja WWTP -- 5…Results Discussion -- 6…Conclusions -- Acknowledgments. A.x(118). 7…Annex -- References -- 10 Fuel Cells: Cogeneration of C2 Hydrocarbons or Simultaneous Production/Separation of H2 and C2 Hydrocarbons -- Abstract -- 1…Introduction -- 2…Fuel Cells -- 2.1 Operating Principles of Fuel Cells -- 2.2 Types of Fuel Cells -- 2.3 Solid Electrolyte Membrane Reactor -- 3…Oxidative Coupling of Methane -- 3.1 Catalysts used for the OCM -- 3.2 Operating Mode of the OCM -- 3.2.1 Fixed Bed Reactors -- 3.2.2 Fluidised Bed Reactors -- 3.2.3 Membrane Reactors -- 4…Co-generation of Solid Oxide Fuel Cell Reactor: Oxidative Coupling of Methane -- 5…Simultaneous Production/Separation of H2 and C2 Hydrocarbons in SEMRs Using O2minus Ion Conductors -- 6…Future Frontiers -- Acknowledgments -- References -- 11 Solar Thermal Energy Use in EU-27 Countries: Evolution and Promotion -- Abstract -- 1…Introduction -- 2…Objectives and Current Situation -- 3…Solar Energy Regulations -- 4…Subsidies -- 5…Tax Incentives -- 5.1 Deductions -- 5.2 Exemptions -- 5.3 Reduced Tax Rates -- 6…Other Support Measures: Low-Interest Loans and Feed-in Tariffs -- 6.1 Low-Interest Loans -- 6.2 Feed-in Tariffs -- 7…Discussion -- 8…Conclusion -- Acknowledgments -- References -- 12 Environmental Performance of Applying Alternative Energies to the Collection, Transport and MBT Plant Within an Integrated MSW Management System -- Abstract -- 1…Introduction -- 2…Methodology -- 2.1 Goal and Scope -- 2.1.1 Objective -- 2.1.2 Functional Unit -- 2.2 Target Area and Quality Data -- 2.3 System Description -- 2.4 System Boundary Selection -- 2.5 Life Cycle Inventory -- 3…Results and Discussion -- 3.1 Alternative Energy Supply from RES Sources for the Collection and Transportation of MSW -- 3.2 Alternative Energy Supply from ERS for MBT Plant Operation -- 4…Conclusions -- Acknowledgments -- References. This book examines the key pillars of alternative energy, including biomass, hydrogen, solar and geothermal. It features life cycle assessment and thermoeconomic analysis as tools for evaluating and optimising environmental and cost subjects. EBL201708 Engineering SzGeCERN EBL Power resources BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1592758 ebook n 201732 201708 21 PUBLIC BOOK DELETED 2278869 SzGeCERN 20190226231416.0 9781447154907 electronic version 9781447154891 electronic version 9781447154891 print version oai:cds.cern.ch:2278869 cerncds:BOOK EBL 1592127 eng R1 610.28 Patel, Vimla L Cognitive informatics in health and biomedicine case studies on critical care, complexity and errors London Springer 2014 511 p ebook Health informatics Copyright Page -- Dedication -- Foreword -- Preface -- Contents -- Contributors -- Chapter 1: Complexity and Errors in Critical Care -- Introduction -- Overview -- Interdependencies and Open-Endedness -- Methodological Imperatives for Taming Complexity -- Error Recovery, Standardization and Decision-Making -- Communication in Critical Care -- Work and Information Flow -- Implications -- Emergent Themes and Common Threads -- References -- Part I: Cognition and Errors -- Chapter 2: A Framework for Understanding Error and Complexity in Critical Care -- The Enduring Problem of Medical Error -- Limitations of Traditional Approaches -- The Framework of Individual Accountability -- The Quest for Zero Defects -- The Role of Recovery: Insights from Aviation -- The Temporal Evolution of Medical Error -- Capturing Error Correction -- Distributed Cognition and Vulnerability to Error -- Types of Knowledge Involved -- Relationship to Learning -- Embedding Errors to Capture Recovery -- A Cycle of Error Generation and Recovery -- Review of Key Findings -- Conclusion -- References -- Chapter 3: Failed Detection of Egregious Errors in Clinical Case Scenarios -- Reevaluating Recovery -- The Myth of the Infallible Expert -- Error Recovery in Other Domains -- A Cognitive Model of Error Recovery -- Early Indicators of Error Recovery -- Further Prospective Studies of Error Recovery in Medicine -- Retrospective Studies of Error Recovery in Medicine -- Experimental Approach: Embedding of Errors, Sometimes Egregious -- Development of Clinical Cases -- Case 1: Mismanaged Diverticulitis -- Case 2: The Anatomy of an Attempted Murder -- Prerequisites to Detection -- Study Procedure -- Method of Analysis -- Expertise and Expectations -- Results: Error Detection -- C1E1: Inappropriate Antibiotics -- C1E2: Contraindicated Colonoscopy -- C1E3: No X-Ray Before CT Scan. C1E4: Did Not Consider Preoperative Stent -- C1E5: Undiagnosed Ureteral Injury -- C2E1: No Pericardial Sonogram -- C2E2: Hematoma Not Explored -- Experts and Complex Errors -- Error Correction and Justification -- Detection and Recovery in Dialysis Nursing -- Results -- Summary and Implications -- Informatics Implications -- Discussion Questions -- References -- Chapter 4: Teamwork and Error Management in Critical Care -- Introduction -- Error Recovery: Prospective and Retrospective Studies -- Studying Recovery with Embedded Errors -- Teamwork and Error Detection -- Summary of Theoretical Background -- The Nature of Teamwork in Critical Care -- Method -- Participants -- Clinical Case Development -- Procedure -- Data Analysis -- Results -- Error Management -- Classification of the Newly Generated Errors -- Qualitative Nature of Team Interaction and Error Management -- Schematic Representations of Error Detection, Correction, Generation and Recovery -- Error Detection Factors -- Person Attributed to the Error -- Nature of the Error -- Team Interaction -- Comparison of Semi-Naturalistic and Laboratory-Based Studies -- Discussion -- Informatics Implications -- Conclusion -- Questions for Discussion -- References -- Chapter 5: Error Recovery in the Wilderness of ICU -- Introduction -- Decision-Making in Naturalistic Environments -- Team Decision-Making in Domains Outside of Medicine -- Team Decision-Making in Medicine (ICU and ER) -- Method -- Study Site -- Participants -- Data Collection: Morning Rounds in MICU -- Data Coding -- Data Analysis: Descriptive Statistics -- Data Analysis: Qualitative -- Categories of Case Management -- Categories of Error and Error Correction -- Errors Generated and Corrected -- Conversational Analysis: Utterance Categorization -- Decision Flow and the Correction of Errors. Relationship Between Error Correction and Error Propagation -- Summary of Results and Discussion -- Conclusions and Final Comments -- Discussion Questions -- References -- Chapter 6: Training for Error Detection in Simulated Clinical Rounds -- Introduction -- The Role of Clinical Rounds in Error Recovery -- The Virtual World as Research Instrument -- Construction of a Virtual ICU -- Failed Detection: Ignorance or Negligence? -- Participants and Case Construction -- Defining the Limits of Knowledge -- Training for Error Recovery -- A Web-Based Tutoring System for Error Recovery in the ICU -- Summary and Implications -- Informatics Implications -- Discussion Questions -- References -- Chapter 7: Characterizing the Nature of Work and Forces for Decision Making in Emergency Care -- Introduction -- Understanding Complexity Using a Work Domain Ontology (WDO) -- Partial Work Domain: A Single Perspective -- Building Out the WDO -- Identifying Operations -- Refinement and Linking to UMLS -- Adding in Objects -- Codifying Constraints -- Task Transitions: Narrowing the Focus to Decision Making -- Decision Making -- Task Transition Decisions -- Methodology -- Categorizing the Decision Types -- Results -- Environmental Factors in Task-Transition Decisions -- Planned Decisions -- Break in Task -- Opportunistic Decisions -- The Impact of the Environment on Decision Making -- Implementation Effects -- Decreasing Opportunities -- Methods -- Results -- Implementation 2 -- Replication Methods -- Summary -- Health Information Technology Solutions -- Discussion Questions -- References -- Chapter 8: Adaptive Behaviors in Complex Clinical Environments -- Introduction -- Healthcare as a Complex Adaptive System -- Assessment of Behaviors in Complex Systems -- Trauma Critical Care -- A Preliminary Classifications of Deviations from Standards in Trauma Care. Deviations from Standards and Expert Cognition and Team Decision Making -- Extended Framework for Deviations from Standard Practice -- Evaluating Generalizability of Classification Schemas -- Summary -- Implications for Informatics and Cognition -- Discussion Questions -- References -- Chapter 9: Standard Solutions for Complex Settings: The Idiosyncrasies of a Weaning Protocol Use in Practice -- Healthcare Standardization -- Weaning Protocol Use in a Medical Intensive Care Unit -- Barriers to Effective Use of Standardized Clinical Decision Support -- Evaluation of the Standardization Tools -- Functional Resonance Accident Method -- Study 1 - Application of FRAM to Evaluate the Use of the Weaning Protocol -- Study 2: Validation of the FRAM Method for Use in Critical Care -- Study 3: Tracing the Knowledge Gaps to Improve Standardization Tools -- Summary and Discussion -- Implications for Biomedical Informatics -- Discussion Questions -- References -- Chapter 10: Enhancing Medical Decision Making When Caring for the Critically Ill: The Role of Cognitive Heuristics and Biases -- Introduction -- Background -- Theories of Decision-Making -- Heuristic and Bias Theoretical Foundation -- The Diagnostic Process and the Use and Impact of Heuristics and Biases in Medicine -- Methods -- Data Collection -- Literature Review -- Clinicians' View of Heuristic Use (Pilot Study) -- Naturalistic Clinical Reasoning (Proof-of-Concept Study) -- Data Analysis -- Clinicians' View of Heuristic Use (Pilot Study) -- Naturalistic Clinical Reasoning (Proof-of-Concept Study) -- Methods for Framework Development and Validation -- Heuristics & Biases Used in Medicine -- Heuristics & Biases Used in Critical Care Settings -- Steps Within the Critical Care Process -- Heuristic and Bias Use Within Critical Care Process -- Reasoning Errors and Patient Outcomes -- Framework Validation. Results -- Literature Review -- Clinicians' View of Heuristic Use (Pilot Study) -- Naturalistic Clinical Reasoning (Proof-of-Concept Study) -- Critical Care Heuristics and Bias Framework -- Steps in Critical Patient Care -- Heuristics and Biases Used Within Critical Care -- Reasoning Errors and Patient Outcomes -- Discussion -- Summary -- Implications for Biomedical Informatics -- Conclusion -- Discussion Questions -- References -- Part II: Communication -- Chapter 11: Communication and Complexity: Negotiating Transitions in Critical Care -- Introduction -- Handoff Communication and Complexity -- In Pursuit of Common Ground -- Handoff Redux -- References -- Chapter 12: Falling Through the Cracks: Investigation of Care Continuity in Critical Care Handoffs -- Conceptualizing Handoffs -- Background -- Theoretical Framings on Handoffs -- Prior Studies on Handoffs -- Studies on Handoff Barriers -- Studies on Handoff Solutions -- Research Motivation -- Case Study: Investigation of Handoffs in Critical Care -- Study Setting -- Participants -- MICU Workflow Terminology -- Physician Handoffs in MICU -- Theoretical Rationale -- Data Collection -- Data Analysis -- Empirical Evaluation of Handoffs in MICU -- Handoff Communication Model -- Handoff Process and Interdependencies -- Handoff Breakdowns -- Root Contributors to Handoff Breakdowns -- Complexity of Resolving a Patient Case -- Lack of Standardization of Handoff Presentation -- Unsuccessful Completion of Pre-Turnover Coordination Activities -- Discussion: Complexity and Errors in Critical Care -- Discussion Questions -- References -- Chapter 13: Bridging Gaps in Handoff Communication: A Comparative Evaluation of Information Organization Tools -- Introduction -- Patient Safety in Handoffs -- Nature of Handoff Tools -- Content and Structure of Handoff Tools -- Handoff Tool Evaluation Studies. Theoretical Framings Underlying Handoff Tools. This interdisciplinary book offers an introduction to cognitive informatics, focusing on key examples drawn from the application of methods and theories from cognitive informatics to challenges specific to the practice of critical-care medicine. EBL201708 Health Physics and Radiation Effects SzGeCERN EBL Artificial intelligence -- Medical applications EBL Medical informatics BOOK Kaufman, David R Cohen, Trevor https://cds.cern.ch/auth.py?r=EBLIB_P_1592127 ebook n 201732 201708 21 PUBLIC BOOK DELETED 2278863 SzGeCERN 20180515232350.0 9780444626974 electronic version 9780444626967 electronic version EBL 1584419 eng TP156.S45 -- .S874 2014eb 541.042 Anikeev, Vladimir Supercritical fluid technology for energy and environmental applications Oxford Elsevier Science 2014 285 p Front Cover -- SUPERCRITICAL FLUID TECHNOLOGY FOR ENERGY AND ENVIRONMENTAL APPLICATIONS -- Copyright -- Contents -- Contributors -- Chapter 1 - Synthesis of Biodiesel Fuel in Supercritical Lower Alcohols with and without Heterogeneous Catalysts (Thermodyn ... -- 1.1 INTRODUCTION -- 1.2 CALCULATION OF THERMODYNAMIC AND PHYSICOCHEMICAL DATA FOR INDIVIDUAL COMPOUNDS -- 1.3 PHASE EQUILIBRIUM IN TRANSESTERIFICATION OF TRIGLYCERIDES OF FATTY ACIDS WITH METHANOL -- 1.4 CHEMICAL EQUILIBRIUM: CALCULATION MODELS AND METHODS -- 1.5 TRANSESTERIFICATION OF RAPESEED OIL IN SUPERCRITICAL METHANOL IN A FLOW REACTOR -- 1.6 CONCLUSION -- References -- Chapter 2 - Particle Formation Using Sub- and Supercritical Fluids -- 2.1 INTRODUCTION -- 2.2 MODELING OF SUPERCRITICAL MICRONIZATION PROCESSES -- 2.3 MICRONIZATION PROCESSES USING SUB- AND SUPERCRITICAL FLUIDS -- 2.4 PARTICLES FROM GAS SATURATED SOLUTIONS (PGSS™) -- 2.5 CONCLUSIONS AND OUTLOOK -- References -- Chapter 3 - Environmentally Benign Transformations of Monoterpenes and Monoterpenoids in Supercritical Fluids -- 3.1 INTRODUCTION -- 3.2 TRANSFORMATIONS OF MONOTERPENOIDS WITH PINANE FRAMEWORK -- 3.3 TRANSFORMATIONS OF MONOTERPENOIDS WITH PARA-MENTHANE FRAMEWORK -- 3.4 CATALYTIC TRANSFORMATIONS OF ACYCLIC MONOTERPENOIDS -- 3.5 CONCLUSIONS -- References -- Chapter 4 - Biomass Conversion in Supercritical Water -- 4.1 INTRODUCTION -- 4.2 CELLULOSE DISSOLUTION IN HIGH-TEMPERATURE WATER -- 4.3 KINETICS IN SUPERCRITICAL WATER AND CELLULOSE HYDROLYSIS -- 4.4 CHEMICALS RECOVERY FROM GLUCOSE -- 4.5 CHEMICAL RECOVERY FROM LIGNIN -- 4.6 CONCLUSION -- References -- Chapter 5 - Environmentally Benign Route for Nanomaterial Synthesis by Using SCW -- 5.1 INTRODUCTION -- 5.2 PRINCIPLES OF SUPERCRITICAL HYDROTHERMAL SYNTHESIS -- 5.3 APPARATUS FOR SUPERCRITICAL HYDROTHERMAL SYNTHESIS. 5.4 NP SYNTHESIS BY SUPERCRITICAL HYDROTHERMAL SYNTHESIS -- 5.5 ORGANIC-INORGANIC HYBRID NP SYNTHESIS USING SCW -- 5.6 CONTROLLED ASSEMBLY OF NPS -- 5.7 HYBRID NANOMATERIALS -- 5.8 CONCLUSION -- References -- Chapter 6 - Supercritical Water Gasification for Hydrogen Production: Current Status and Prospective of High-Temperature Op ... -- 6.1 INTRODUCTION -- 6.2 HIGH-TEMPERATURE WATER -- 6.3 THERMODYNAMICS OF SCWG -- 6.4 GASIFICATION OF SIMPLE FEEDSTOCKS -- 6.5 GASIFICATION OF FOSSIL FUELS -- 6.6 CHALLENGES/OUTLOOK -- 6.7 CONCLUSION -- Acknowledgments -- References -- Chapter 7 - Hydrolysis in Near- and Supercritical Water for Biomass Conversion and Material Recycling -- 7.1 WHY PERFORM HYDROLYSIS REACTIONS IN NEAR- AND SUPERCRITICAL WATER? -- 7.2 BIOMASS LIQUEFACTION TOWARD BIOFUELS AND PLATFORM MOLECULES -- 7.3 CHEMICAL RECYCLING USING SUPERCRITICAL FLUIDS -- 7.4 CONCLUSION -- Acknowledgments -- References -- Chapter 8 - Applications of Aerogels and Their Composites in Energy-Related Technologies -- 8.1 INTRODUCTION -- 8.2 AEROGELS AS THERMAL INSULATORS -- 8.3 AEROGELS AS CATALYST SUPPORTS -- 8.4 AEROGELS AS CATALYSTS -- 8.5 AEROGELS AS ENERGY STORAGE DEVICES -- 8.6 AEROGELS AS ADSORBENTS -- 8.7 AEROGELS IN SOLAR CELLS -- 8.8 CONCLUSION -- Acknowledgments -- References -- Chapter 9 - Supercritical Water Oxidation for Wastewater Destruction with Energy Recovery -- 9.1 INTRODUCTION -- 9.2 SCWO REQUIREMENTS -- 9.3 MODEL COMPOUNDS AND WASTEWATERS STUDIED -- 9.4 ECONOMICS ASPECTS OF SCWO -- 9.5 ENERGY RECOVERY -- 9.6 ATMOSPHERIC PRESSURE WATER HEATING -- 9.7 CONCLUSIONS -- References -- Chapter 10 - Supercritical Water Gasification of Organic Wastes for Energy Generation -- 10.1 INTRODUCTION -- 10.2 SUPERCRITICAL WATER GASIFICATION -- 10.3 CONCLUSIONS -- Acknowledgments -- References. Chapter 11 - Application of Supercritical Pressure in Power Engineering: Specifics of Thermophysical Properties and Forced- ... -- 11.1 INTRODUCTION -- 11.2 THERMOPHYSICAL PROPERTIES AT CRITICAL AND SUPERCRITICAL PRESSURES -- 11.3 SPECIFICS OF FORCED-CONVECTION HEAT TRANSFER AT SUPERCRITICAL PRESSURE -- 11.4 HYDRAULIC RESISTANCE -- 11.5 CONCLUSIONS -- NOMENCLATURE -- References -- Chapter 12 - Biopolymer Degradation in Sub- and Supercritical Water for Biomass Waste Recycling -- 12.1 INTRODUCTION -- 12.2 PROPERTIES OF WATER IN SUB- AND SUPERCRITICAL CONDITIONS -- 12.3 DEVELOPMENT OF REACTORS AND EXPERIMENTAL TECHNIQUES -- 12.4 HYDROLYSIS OF CELLULOSE -- 12.5 HYDROLYSIS OF PROTEINS -- 12.6 GENERAL REACTION PATHWAYS AND KINETICS OF HYDROLYSIS OF BIOPOLYMERS -- 12.7 CARBONIC (OR CARBON DIOXIDE) ENHANCEMENT OF HYDROLYSIS -- 12.8 COUPLING WITH ELECTROMAGNETIC METHODS TO ENHANCE REACTION RATES -- 12.9 CONCLUSION AND OUTLOOK -- References -- Chapter 13 - Energy Conversion of Biomass and Recycling of Waste Plastics Using Supercritical Fluid, Subcritical Fluid and ... -- 13.1 INTRODUCTION -- 13.2 ENERGY CONVERSION OF BIOMASS USING SUBCRITICAL WATER AND HIGH-PRESSURE SUPERHEATED STEAM -- 13.3 RECYCLING OF WASTE PLASTICS USING SUPER/SUBCRITICAL FLUIDS -- 13.4 CONCLUSIONS -- Acknowledgments -- References -- Index. Supercritical Fluid Technology for Energy and Environmental Applications covers the fundamental principles involved in the preparation and characterization of supercritical fluids (SCFs) used in the energy production and other environmental applications. Energy production from diversified resources - including renewable materials - using clean processes can be accomplished using technologies like SCFs. This book is focused on critical issues scientists and engineers face in applying SCFs to energy production and environmental protection, the innovative solutions they have found, and the challenges they need to overcome. The book also covers the basics of sub- and supercritical fluids, like the thermodynamics of phase and chemical equilibria, mathematical modeling, and process calculations. A supercritical fluid is any substance at a temperature and pressure above its critical point where distinct liquid and gas phases do not exist. At this state the compound demonstrates unique properties, which can be "fine-tuned," making them suitable as organic solvents in a range of industrial and laboratory processes. This volume enables readers to select the most appropriate medium for a specific situation. It helps instructors prepare course material for graduate and postgraduate courses in the area of chemistry, chemical engineering, and environmental engineering. And it helps professional engineers learn supercritical fluid-based technologies and use them in solving the increasingly challenging environmental issues. Relates theory, chemical characteristics, and properties of the particular supercritical fluid to its various applications Covers the fundamentals of supercritical fluids, like thermodynamics of phase and chemical equilibria, mathematical modeling, and process calculations Includes the most recent applications of supercritical fluids, including energy generation, materials synthesis, and environmental protection. Fan, Maohong 9780444626967 print version oai:cds.cern.ch:2278863 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1584419 ebook ebook EBL Chemical engineering -- Separation EBL High pressure (Technology) EBL201708 Chemical Physics and Chemistry SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2278860 SzGeCERN 20180515232349.0 9780444595645 electronic version 9780444595614 electronic version EBL 1578345 eng TP339 -- .B56 2014eb 621.042 Gupta, Vijai G Bioenergy research advances and applications Oxford Elsevier Science 2014 513 p Front Cover -- BIOENERGY RESEARCH: ADVANCES AND APPLICATIONS -- BIOENERGY RESEARCH: ADVANCES AND APPLICATIONS -- Copyright -- Contents -- Preface -- Foreword -- List of Contributors -- Chapter 1 - Current Bioenergy Researches: Strengths and Future Challenges -- INTRODUCTION -- BIOPELLETS -- BIOETHANOL -- BIODIESEL -- BIOGAS -- CONCLUSION -- References -- Chapter 2 - Bioenergy Research: An Overview on Technological Developments and Bioresources -- INTRODUCTION -- CURRENT BIOENERGY PRACTICES -- MAIN BIOFUEL TECHNOLOGIES AND CURRENT PROCESSES -- TECHNOLOGICAL ROUTES FOR BIOENERGY PRODUCTION -- BIOENERGY RESOURCES AND BIOFUELS DEVELOPMENT PROGRAM -- SUSTAINABILITY -- CONCLUSIONS -- Acknowledgments -- References -- Chapter 3 - Use of Agroindustrial Residues for Bioethanol Production -- INTRODUCTION -- RAW MATERIAL -- SUGAR PRODUCTION AND FERMENTATION -- CONCLUDING REMARKS -- Acknowledgments -- References -- Chapter 4 - Recent Advancements in Pretreatment Technologies of Biomass to Produce Bioenergy -- LIGNOCELULLOSIC BIOMASS -- PRETREATMENT OF LIGNOCELULLOSIC BIOMASS FOR BIOFUELS PRODUCTION -- TYPES OF PRETREATMENTS -- TRENDS IN PRETREATMENTS -- PRETREATMENT MODELING -- ENVIRONMENTAL AND ECONOMICAL ASPECTS -- CONCLUDING REMARKS -- References -- Chapter 5 - Biofuels and Bioproducts Produced through Microbial Conversion of Biomass -- LIGNOCELLULOSIC BIOMASS AND ITS PRETREATMENT -- COMMONLY USED MICROORGANISMS FOR BIOLOGICAL PRETREATMENT -- STRATEGIES OF USING MICROBIAL PRETREATMENT TO ENHANCE SUGAR RELEASE FOR BIOFUEL AND BIOPRODUCT PRODUCTION -- References -- Chapter 6 - Databases for Bioenergy-Related Enzymes -- PLANT BIOMASS -- BIOENERGY-RELATED ENZYMES AND REGULATION -- DATABASES AND WEB SERVERS -- FUTURE PERSPECTIVES -- References -- Chapter 7 - Isobutanol Production from Bioenergy Crops -- BACKGROUND/INTRODUCTION. KETO ACID PATHWAYS FOR HIGHER ALCOHOL PRODUCTION -- BIOCHEMISTRY OF ISOBUTANOL FERMENTATION -- METABOLIC ENGINEERING OF MICROORGANISMS FOR ISOBUTANOL PRODUCTION -- FEASIBILITY OF USING BIOENERGY CROPS AS SUSTAINABLE FEEDSTOCKS FOR ISOBUTANOL PRODUCTION -- TECHNOLOGIES THAT HAVE BEEN DEVELOPED FOR SIMULTANEOUS BUTANOL FERMENTATION AND RECOVERY -- CONCLUSION AND FUTURE PERSPECTIVE -- References -- Chapter 8 - Lipase-Catalyzed Biodiesel Production: Technical Challenges -- INTRODUCTION -- CHEMISTRY OF BIODIESEL -- TRANSESTERIFICATION -- DISADVANTAGES OF CHEMICAL TRANSESTERIFICATION -- ADVANTAGES OF USING LIPASES IN BIODIESEL PRODUCTION -- HISTORICAL BACKGROUND OF LIPASE -- LIPASE-CATALYZED TRANSESTERIFICATION DONE IN TWO APPROACHES -- ADVANTAGES OF IMMOBILIZED LIPASE -- TECHNICAL CHALLENGES -- FEEDSTOCK -- CHOICE OF ENZYME -- MOLAR RATIO (ALCOHOL/OIL) -- TEMPERATURE -- WATER CONTENT -- ACYL ACCEPTORS -- SOLVENTS -- REACTOR SYSTEM -- CONCLUSIONS -- References -- Chapter 9 - Bioelectrochemistry of Microbial Fuel Cells and their Potential Applications in Bioenergy -- INTRODUCTION -- BIOELECTROCHEMISTRY OF MFC -- BIOFILM ELECTROCHEMISTRY FOR ENHANCED MFC PERFORMANCE: A MOLECULAR BIOLOGY PERSPECTIVE -- MFCS FOR WASTEWATER TREATMENT WITH CONCOMITANT ELECTRICITY PRODUCTION -- SUMMARY AND PERSPECTIVES -- References -- Chapter 10 - Second-Generation Biofuel from High-Efficiency Algal-Derived Biocrude -- INTRODUCTION -- MICROALGAL BIOFUEL HISTORY -- MICROALGAE BIOMASS/BIOFUEL PRODUCTION-CULTIVATION -- PHOTOTROPHIC MICROALGAE -- HETEROTROPHIC MICROALGAE -- NUTRIENTS -- CONTAMINATION -- MIXING -- CULTURE TECHNIQUES -- OPEN-POND CULTURE -- PHOTOBIOREACTORS -- PROCESSING MICROALGAL BIOMASS FOR BIOFUELS -- MICROALGAL BIOMASS TO BIOFUELS -- BIODIESEL -- PRODUCTION OF BIODIESEL FROM MICROALGAE -- COMPARISON OF BIODIESEL TO PETRODIESEL -- BIOETHANOL. BIOETHANOL PRODUCTION PROCESS -- BIOMETHANE -- BIOHYDROGEN -- BIOCRUDE -- PROPERTIES OF SUBCRITICAL WATER -- HYDROTHERMAL CATALYTIC LIQUEFACTION -- HTL SUMMARY AND OUTLOOK -- CONCLUSIONS -- References -- Chapter 11 - Microalgae: The Tiny Microbes with a Big Impact -- RENEWABLE ENERGY -- PETROLEUM FUEL SCENARIO IN INDIA -- BIODIESEL -- MICROALGAE: VIABLE FEEDSTOCKS FOR BIODIESEL -- SELECTION OF POTENT STRAINS -- GENETIC ENGINEERING APPROACH -- MICROALGAL BIODIESEL PRODUCTION -- FATTY ACID METHYL ESTERS AND FUEL PROPERTIES -- WASTE UTILIZATION FOR BIODIESEL PRODUCTION: A CASE STUDY WITH SCENEDESMUS OBLIQUUS IN A RECIRCULATORY AQUACULTURE SYSTEM -- CONCLUDING REMARKS -- Acknowledgments -- References -- Chapter 12 - Biobased Fats (Lipids) and Oils from Biomass as a Source of Bioenergy -- INTRODUCTION -- SOURCES OF BIOLIPIDS -- SUPPLY AND PROJECTED/PURRENT VOLUME -- ENERGY BALANCE -- PROCESSING OF BIOLIPIDS AND PROPERTIES OF BIOLIPID-DERIVED BIOFUELS -- PROPERTIES OF PURE PLANT OIL -- PROPERTIES OF BIODIESEL -- BIOMASS TO LIQUID FUELS (BIO-OIL) -- CONCLUSION -- References -- Chapter 13 - Use of Volatile Solids from Biomass for Energy Production -- INTRODUCTION -- BIODEGRADABILITY -- ADDITION OF MACRO- AND MICRONUTRIENTS -- ADDITION OF MICROBES -- ADDITION OF ENZYMES -- PRETREATMENTS -- LONGER RETENTION TIMES -- ENERGY CROPS -- FOOD PROCESSING RESIDUES -- CROP RESIDUES -- SPENT BEDDING -- KITCHEN AND GARDEN WASTE -- AQUATIC WEEDS -- DIGESTION SYSTEMS -- INCREASE IN SOLIDS CONTENT IN WET DIGESTERS -- LOADING AND UNLOADING OF DIGESTERS -- TREATMENT OF DIGESTATE IN WET DIGESTERS -- USE OF METHANE -- CHEMICAL CONVERSION OF VOLATILE SOLIDS -- THERMAL CONVERSION OF VOLATILE SOLIDS -- DISCUSSION -- CONCLUSIONS -- References -- Chapter 14 - Biorefinery Systems: An Overview -- INTRODUCTION-BIOREFINERY, CONCEPTS AND EMERGING OPPORTUNITIES FOR SUSTAINABLE ECONOMY. SHORT HISTORY OF BIOREFINERIES AND BIO-BASED PRODUCTS -- BIOMASS FEEDSTOCK -- STRUCTURE OF BIOREFINERY CONCEPT -- BIOREFINERY PLATFORMS -- BIOREFINERY ECO-EFFICIENCY -- CONCLUDING REMARKS AND PERSPECTIVES -- Acknowledgments -- References -- Chapter 15 - Catalytic Thermochemical Processes for Biomass Conversion to Biofuels and Chemicals -- INTRODUCTION -- PYROLYSIS OF BIOMASS -- GASIFICATION OF BIOMASS -- HYDROTHERMAL LIQUEFACTION OF BIOMASS -- CONCLUSION -- Acknowledgments -- References -- Chapter 16 - Applications of Heterogeneous Catalysts in the Production of Biodiesel by Esterification and Transesterification -- INTRODUCTION -- HETEROPOLYACIDS -- ZEOLITES -- CLAY MINERALS -- LAYERED MATERIALS -- POLYMERIC CATALYSTS -- CONCLUDING REMARKS -- References -- Chapter 17 - Lignocellulose-Based Chemical Products -- INTRODUCTION -- OCCURRENCE AND COMPOSITION OF LIGNOCELLULOSIC BIOMASS -- CELLULOSE -- HEMICELLULOSES -- LIGNIN -- PRETREATMENT TECHNOLOGIES -- PRETREATMENT TECHNOLOGIES STILL AT A LABORATORY/CONCEPTUAL STAGE -- LIGNOCELLULOSIC BIOREFINERIES-CLASSIFICATION -- C6 AND C6/C5 SUGAR PLATFORM -- LIGNIN PLATFORM -- IMPORTANCE OF FURANS AND AROMATICS AS BUILDING BLOCKS FOR CHEMICALS AND FUELS -- CARBOHYDRATE DEHYDRATION -- CONVERSION OF TECHNICAL LIGNINS INTO MONOAROMATIC CHEMICALS -- CONCLUSIONS AND FURTHER PERSPECTIVES -- References -- Chapter 18 - Industrial Lignins: Analysis, Properties, and Applications -- THE POTENTIAL OF TECHNICAL LIGNINS AS A RENEWABLE RAW MATERIAL FEEDSTOCK -- TECHNICAL LIGNINS: PRODUCTION, PROPERTIES, AND ANALYSIS -- TECHNICAL LIGNINS: TRADITIONAL AND EMERGING APPLICATIONS -- CONCLUSIONS -- References -- Chapter 19 - Amino-Based Products from Biomass and Microbial Amino Acid Production -- AMINO ACIDS -- ASPARTAME -- POLY(AMINO ACID)S -- POLYAMINES -- CONCLUSION AND PERSPECTIVES -- Acknowledgments -- References. Chapter 20 - Production of Phytochemicals, Dyes and Pigments as Coproducts in Bioenergy Processes -- INDUSTRIAL PHYTOCHEMICALS -- PRODUCTION OF INDUSTRIAL PHYTOCHEMICALS -- COPRODUCTION OF PHYTOCHEMICALS IN BIOENERGY PROCESSES -- References -- Chapter 21 - Recent Developments on Cyanobacteria and Green Algae for Biohydrogen Photoproduction and Its Importance in CO2 ... -- INTRODUCTION -- MECHANISMS OF HYDROGEN PHOTOPRODUCTION -- HYDROGEN PHOTOPRODUCTION BY CYANOBACTERIA -- HYDROGEN PHOTOPRODUCTION BY GREEN ALGAE -- Acknowledgments -- References -- Chapter 22 - Engineered Cyanobacteria: Research and Application in Bioenergy -- INTRODUCTION -- ENGINEERING CYANOBACTERIA -- CYANOBACTERIA AS A PRODUCTION SYSTEM FOR BIOFUELS: CURRENT STATUS -- CONCLUSION AND OUTLOOK -- References -- Chapter 23 - Sustainable Farming of Bioenergy Crops -- INTRODUCTION -- CRITERIA FOR SUSTAINABLE FARMING AND SUSTAINABLE FOOD SYSTEMS -- WHAT IS SUSTAINABLE BIOENERGY PRODUCTION? -- HOW MUCH BIOENERGY MAY BE PRODUCED SUSTAINABLY? -- CONCLUSIONS -- References -- Chapter 24 - Bioenergy Technology and Food Industry Waste Valorization for Integrated Production of Polyhydroxyalkanoates -- INTRODUCTION -- PHA STRUCTURE AND PROPERTIES -- PHA PRODUCTION INTEGRATED IN BIOREFINERY CONCEPTS -- CONCLUSIONS AND FUTURE PERSPECTIVES -- References -- Chapter 25 - Advances and Innovations in Biochar Production and Utilization for Improving Environmental Quality -- INTRODUCTION -- PROPERTIES OF BIOCHAR -- UTILIZATION OF BIOCHAR FOR ENVIRONMENTAL QUALITY -- POSTPYROLYSIS INDIRECT APPLICATION OF BIOCHAR -- CONCLUSIONS, KNOWLEDGE GAPS, AND RESEARCH NEEDS -- Acknowledgments -- References -- Chapter 26 - Biochar Processing for Sustainable Development in Current and Future Bioenergy Research -- INTRODUCTION -- THEORETICAL INCOME STREAMS -- AGRICULTURAL BENEFITS -- ECONOMIC ANALYSIS -- CONCLUSION. DISCLAIMERS. Bioenergy Research: Advances and Applications brings biology and engineering together to address the challenges of future energy needs. The book consolidates the most recent research on current technologies, concepts, and commercial developments in various types of widely used biofuels and integrated biorefineries, across the disciplines of biochemistry, biotechnology, phytology, and microbiology. All the chapters in the book are derived from international scientific experts in their respective research areas. They provide you with clear and concise information on both standard and more recent bioenergy production methods, including hydrolysis and microbial fermentation. Chapters are also designed to facilitate early stage researchers, and enables you to easily grasp the concepts, methodologies and application of bioenergy technologies. Each chapter in the book describes the merits and drawbacks of each technology as well as its usefulness. The book provides information on recent approaches to graduates, post-graduates, researchers and practitioners studying and working in field of the bioenergy. It is an invaluable information resource on biomass-based biofuels for fundamental and applied research, catering to researchers in the areas of bio-hydrogen, bioethanol, bio-methane and biorefineries, and the use of microbial  processes in the conversion of biomass into biofuels. Reviews all existing and promising technologies for production of advanced biofuels in addition to bioenergy policies and research funding Cutting-edge research concepts for biofuels production using biological and biochemical routes, including microbial fuel cells Includes production methods and conversion processes for all types of biofuels, including bioethanol and biohydrogen, and outlines the pros and cons of each. Tuohy, Maria Kubicek, Christian P Saddler, Jack Xu, Feng 9780444595614 print version oai:cds.cern.ch:2278860 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1578345 ebook ebook EBL201708 Engineering SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2278842 SzGeCERN 20180410204927.0 9789400767355 electronic version 9789400767348 electronic version EBL 1466817 eng G1-922 004.678 Dewan, Ashraf Dhaka megacity geospatial perspectives on urbanisation, environment and health Dordrecht Springer 2014 423 p Springer geography Preface -- Contents -- Contributors -- Acronyms -- List of Figures -- List of Plates -- List of Tables -- Chapter 1: Introduction -- 1.1 Bangladesh: An Overview -- 1.2 Definition of a Megacity -- 1.3 Environmental Setting of Dhaka Megacity -- 1.4 Description of the Study Area -- 1.5 The Organisation of This Book -- References -- Chapter 2: From a Town to a Megacity: 400 Years of Growth -- 2.1 Introduction -- 2.2 Trajectories of Development -- 2.2.1 Pre-Mughal Period (Before 1604) -- 2.2.2 Mughal Period (1602-1764) -- 2.2.3 British Period (1764-1947) -- 2.2.4 Pakistani Period (1947-1971) -- 2.2.5 Bangladesh Period (Since 1971) -- 2.3 Development Plans for Dhaka -- 2.3.1 Dacca Master Plan 1959 -- 2.3.2 Dhaka Metropolitan Area Integrated Urban Development Plan (DMAIUDP) 1981 -- 2.3.3 Dhaka Metropolitan Development Plan 1995-2015 -- Dhaka Structure Plan (1995-2015) -- Urban Area Plan (1995-2005) -- The Detailed Area Plan (2010) -- 2.4 Assessment of the Success of the Plans -- 2.4.1 The Dacca Master Plan 1959 -- 2.4.2 The Dhaka Metropolitan Development Plan 1995-2015 -- 2.5 Concluding Remarks -- References -- Chapter 3: Spatiotemporal Patterns of Population Distribution -- 3.1 Introduction -- 3.2 Data and Methods -- 3.2.1 Data Preparation -- 3.2.2 Modelling Urban Population Density -- 3.2.3 Mapping Population Distribution -- 3.3 Results and Discussion -- 3.4 Conclusions -- References -- Chapter 4: Climatic Variability -- 4.1 Introduction -- 4.2 Data and Methods -- 4.3 Temperature Variability -- 4.4 Rainfall Variability -- 4.5 Conclusions -- References -- Chapter 5: Monitoring and Prediction of Land-Use and Land-Cover (LULC) Change -- 5.1 Introduction -- 5.2 Materials and Methods -- 5.2.1 Data Acquisition and Preparation -- 5.2.2 Image Analysis -- 5.2.3 Land-Use Modelling -- 5.3 Results and Discussion -- 5.4 Conclusions -- References. Chapter 6: Spatiotemporal Analysis of Urban Growth, Sprawl and Structure -- 6.1 Introduction -- 6.2 Data and Methods -- 6.2.1 Analysis of Urban Growth -- 6.2.2 Analysis of Urban Sprawl -- 6.2.3 Relationship Between Built-Up Surface and Population Density -- 6.3 Results and Discussion -- 6.3.1 Urban Expansion and Typology of Urban Growth -- 6.3.2 Urban Sprawl -- 6.3.3 Spatial Patterns of Population Density -- Stable Areas -- Medium-Density Areas -- Densifying Areas -- 6.3.4 Analysis of Population Density and Built-Up Area -- 6.4 Conclusions -- References -- Chapter 7: Key Driving Factors Influencing Urban Growth: Spatial-Statistical Modelling with CLUE-s -- 7.1 Introduction -- 7.2 Data and Methods -- 7.2.1 CLUE-s: Introduction and Modelling Framework -- 7.2.2 Type of Key Variables, Data Access and Management Issues -- 7.2.3 Calibration and Validation Techniques -- 7.3 Description of Dataset -- 7.3.1 Biophysical Variables -- 7.3.2 Access to Opportunities as Proxies to Socioeconomic Variables -- 7.3.3 Spatial Policy/Planning Variables -- 7.3.4 Neighbourhood Variables -- 7.4 Results -- 7.4.1 Statistical Models of Urban Land Change -- 7.4.2 Conversion Resistance and Conversion Matrix -- 7.4.3 Simulation Runs in CLUE-s -- 7.5 Calibration and Validation -- 7.6 Conclusions -- References -- Chapter 8: Analysis of Urban Development Suitability -- 8.1 Introduction -- 8.2 Materials and Methods -- 8.2.1 Data Sources -- 8.2.2 Analytical Method -- Model Design -- Constraint Maps -- Weighting -- Combination of Datasets -- 8.3 Results -- 8.4 Discussion -- 8.5 Conclusions -- References -- Chapter 9: Impact of Land-Use Change on Flooding Patterns -- 9.1 Introduction -- 9.2 Materials and Methods -- 9.2.1 Study Area -- 9.2.2 Materials -- 9.3 Methods -- 9.3.1 Hydrologic Simulation by Tank Model -- 9.3.2 Two-Dimensional Flood Simulation -- 9.3.3 LULC Change Scenario. 9.4 Results and Discussion -- 9.4.1 Hydrologic Modelling of Balu River Discharge -- 9.4.2 Flood Propagation Simulations -- Comparison Between the Results of 1990 Land-Cover and Complete Land-Cover Conversion of 1990 -- Comparing Simulation Results of 2011 and 2011 Complete Land-Cover Conversion -- 9.5 Conclusions -- References -- Chapter 10: Flood Vulnerability and Risk Assessment with Spatial Multi-criteria Evaluation -- 10.1 Introduction -- 10.2 Conceptualising Hazard, Risk and Vulnerability -- 10.2.1 Pressure and Release (PAR) Model -- 10.2.2 Hazards-of-Place (HOP) Model -- 10.2.3 Disaster Resilience of Place (DROP) Model -- 10.2.4 Urban Vulnerability Framework -- 10.3 Model Applicability -- 10.4 Flooding in Dhaka -- 10.5 Data Acquisition and Preparation -- 10.6 Methods of Analysis -- 10.6.1 Analysis of Flood Hazard -- 10.6.2 Vulnerability Analysis -- Analysis of Locational Vulnerability -- Analysis of Socioeconomic Vulnerability -- Analysis of Built Environmental Vulnerability -- Analysis of Coping Capacity -- Analysis of Total Vulnerability -- 10.6.3 Flood-Risk Analysis -- 10.7 Results -- 10.7.1 Flood Hazard -- 10.7.2 Flood Vulnerability -- 10.7.3 Risk of Flood -- 10.8 Conclusions -- References -- Chapter 11: Supplementing Electrical Power Through Solar PV Systems -- 11.1 Introduction -- 11.2 Materials and Methods -- 11.3 Power Supply Scenario -- 11.4 Solar PV in Bangladesh: Current Installations -- 11.5 Determining Factors of SPV Application -- Geophysical Factors -- Sunshine Hours and Solar Radiation -- Land Availability -- Available Roof Area -- 11.5.1 Economic and Sociopolitical Factors -- Financial Arrangements -- Local Technology Support -- Social Acceptance and People´s Willingness to Pay -- Political Commitment and Good Governance -- 11.5.2 Environmental Considerations -- 11.6 Conclusions and Recommendations -- References. Chapter 12: Impact of Land Use and Land Cover Changes on Urban Land Surface Temperature -- 12.1 Introduction -- 12.1.1 Potential Remotely Sensed Data Sources -- 12.1.2 Use of LST and Other Measures in UHI Studies -- 12.1.3 Potential Application in Dhaka -- 12.2 Materials and Methods -- 12.2.1 Study Area -- 12.2.2 Data Acquisition and Processing -- 12.2.3 Land Use/Land Cover (LULC) Transition Matrix -- 12.2.4 Retrieving Land Surface Temperature (LST) -- 12.2.5 Extraction of Biophysical Parameters -- 12.3 Results and Discussion -- 12.4 Conclusions -- References -- Chapter 13: Illustrating Quality of Life (QOL) -- 13.1 Introduction -- 13.2 Materials and Methods -- 13.2.1 Data Preparation -- 13.2.2 Methodology -- 13.3 Results -- 13.3.1 Exploratory Spatial Data Analysis -- 13.3.2 Factor Analysis -- 13.3.3 Synthetic QOL Index -- 13.3.4 Regression Analysis -- 13.4 Discussion and Conclusions -- References -- Chapter 14: Exploring Crime Statistics -- 14.1 Introduction -- 14.2 Data and Methods -- 14.2.1 Descriptive Statistics -- 14.2.2 Cartographic Analysis -- 14.2.3 Analysis of Clustering -- 14.2.4 Regression Analysis -- 14.3 Results -- 14.4 Discussion -- 14.5 Conclusions -- References -- Chapter 15: Environmental Problems and Governance -- 15.1 Introduction -- 15.2 Major Environmental Problems -- 15.3 Major Organisations in Urban and Environmental Governance -- 15.3.1 Rajdhani Unnayan Kartripakkha (RAJUK or the Capital Development Authority) -- 15.3.2 Dhaka City Corporation (DCC) -- 15.3.3 Department of Environment (DOE) -- 15.4 Legal Frameworks for the EIA System -- 15.4.1 The Constitution of Bangladesh -- 15.4.2 The Environmental Conservation Act -- 15.4.3 The Environmental Conservation Rules -- 15.5 Administrative/Organisational Frameworks and Process for EIA -- 15.5.1 Review of EIA Reports and Issuance of Environmental Clearance Certificate (ECC). 15.5.2 Penalties for Non-compliance with ECC -- 15.6 Strength of the Legal Provisions of EIA -- 15.7 Strengths of the Administrative Arrangements of EIA -- 15.8 Weaknesses in the Legal Provisions of EIA -- 15.9 Weaknesses of the Administrative Arrangements of EIA -- 15.10 Brief Overview and Examination of Two Recent Environmental Documents -- 15.10.1 Report 1: Limited Environmental and Social Impact Assessment and Environmental and Social Management Framework, May 2010 (LGED 2010) -- 15.10.2 Report 2: Environmental Assessment and Review Framework (Greater Dhaka Sustainable Urban Transport Project, February 2012) (GOB 2012) -- 15.11 Conclusions and Recommendations -- References -- Chapter 16: Assessing Surface Water Quality Using Landsat TM and In Situ Data: An Exploratory Analysis -- 16.1 Introduction -- 16.2 Data and Methods -- 16.2.1 Image Processing -- 16.2.2 Sampling Location and Laboratory Analysis -- 16.2.3 Extraction of Water-Only Image -- 16.2.4 Correlating Spectral Values with Water Quality Parameters -- 16.3 Results and Discussion -- 16.4 Conclusions -- References -- Chapter 17: Emissions from the Brick Manufacturing Industry -- 17.1 Introduction -- 17.2 Study Area -- 17.2.1 Brick Kiln Clusters -- 17.2.2 Emissions Inventory -- 17.3 Particulate Pollution Modelling -- 17.4 Provincial Apportionment of Pollution -- 17.5 Implications -- References -- Chapter 18: Rainfall Dependence of Hospital Visits of Aeromonas-Positive Diarrhoea -- 18.1 Introduction -- 18.2 Methods -- 18.2.1 Data -- 18.2.2 Statistical Analysis -- 18.3 Results -- 18.4 Discussion -- 18.5 Limitations -- 18.6 Conclusions -- References -- Chapter 19: Modelling Spatiotemporal Patterns of Typhoid Cases Between 2005 and 2009 Using Spatial Statistics -- 19.1 Introduction -- 19.2 Materials and Methods -- 19.2.1 Study Area and Data -- 19.2.2 Analysing Spatial Patterns. 19.2.3 Hotspot Analysis. Focused on Dhaka, and applicable to other cities, this book uses geospatial techniques to explore land use, climate variability, urban sprawl, population density modeling, flooding, water quality, urban growth modeling, infectious disease and quality of life. Corner, Robert 9789400767348 print version oai:cds.cern.ch:2278842 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1466817 ebook ebook EBL Bangladesh -- Social conditions EBL201708 Computing and Computers SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2278836 SzGeCERN 20181121232415.0 9789400774827 electronic version 9789400774810 electronic version 9789400774810 print version oai:cds.cern.ch:2278836 cerncds:BOOK EBL 1466370 eng G1-922 621.3678 Jin, Shuanggen GNSS remote sensing theory, methods and applications Dordrecht Springer 2014 286 p ebook Remote sensing and digital image processing 19 Preface -- Contents -- Acronyms -- Part I: GNSS Theory and Delays -- Chapter 1: Introduction to GNSS -- 1.1 GNSS History -- 1.1.1 GPS -- 1.1.2 GLONASS -- 1.1.3 GALILEO -- 1.1.4 Beidou/COMPASS -- 1.1.5 Other Regional Systems -- 1.2 GNSS Systems and Signals -- 1.2.1 GNSS Segments -- 1.2.1.1 Space Segment -- 1.2.1.2 Control Segment -- 1.2.1.3 User Segment -- 1.2.1.4 Augmentation Segment -- 1.2.2 GNSS Signals -- 1.3 GNSS Theory and Errors -- 1.3.1 GNSS Principle -- 1.3.2 GNSS Error Sources -- 1.4 GNSS Observations and Applications -- 1.4.1 GNSS Observation Network -- 1.4.2 GNSS Applications -- 1.4.2.1 Positioning, Navigation and Timing -- 1.4.2.2 GNSS Remote Sensing -- References -- Chapter 2: GNSS Atmospheric and Multipath Delays -- 2.1 Atmospheric Refractivity -- 2.2 GNSS Atmospheric Delays -- 2.2.1 Neutral Atmospheric Delays -- 2.2.2 Empirical Tropospheric Models -- 2.2.2.1 Modified Saastamoinen Model -- 2.2.2.2 Modified Hopfield Model -- 2.3 GNSS Ionospheric Delay -- 2.3.1 The Ionosphere -- 2.3.2 GNSS Ionospheric Delay -- 2.3.3 Empirical Ionospheric Models -- 2.3.3.1 Bent Model -- 2.3.3.2 IRI Model -- 2.3.3.3 Klobuchar Model -- 2.4 GNSS Multipath Delay -- 2.4.1 Multipath Effects -- 2.4.2 Multipath Variations -- 2.4.2.1 Multipath Variations with Elevation Angle -- 2.4.2.2 Multipath Variations with Antenna Height -- 2.4.3 Surface Reflection Characteristics -- References -- Part II: GNSS Atmospheric Sensing and Applications -- Chapter 3: Ground GNSS Atmospheric Sensing -- 3.1 Introduction -- 3.2 Theory and Methods -- 3.2.1 Estimates of GNSS ZTD -- 3.2.1.1 Double Difference -- 3.2.1.2 Non-difference Observation -- 3.2.2 Mapping Functions -- 3.2.2.1 Herring Mapping Function -- 3.2.2.2 Niell Mapping Function -- 3.2.2.3 Vienna Mapping Functions 1 (VMF1) -- 3.2.2.4 Global Mapping Function -- 3.3 ZTD Estimate and Variations. 3.3.1 ZTD Estimates from IGS Observations -- 3.3.2 Multi-Scale ZTD Variations -- 3.3.2.1 Secular ZTD Variations -- 3.3.2.2 Seasonal ZTD Variations -- 3.3.2.3 Diurnal and Semidiurnal ZTD Cycles -- 3.4 GNSS Precipitable Water Vapor -- 3.4.1 GNSS PWV Estimate -- 3.4.2 Comparison with Independent Observations -- 3.4.3 Mean PWV Characteristics -- 3.4.4 Seasonal PWV Variations -- 3.4.5 Diurnal PWV Variations -- 3.5 3-D Water Vapor Topography -- 3.6 Summary -- References -- Chapter 4: Ground GNSS Ionosphere Sounding -- 4.1 History -- 4.2 GNSS Ionospheric Sounding -- 4.2.1 DCB Determination -- 4.2.1.1 Test Results of Multi-stations -- 4.2.1.2 Test Results of Single Station -- 4.2.2 TEC Estimate -- 4.3 2-D Ionopspheric Mapping -- 4.3.1 Method of 2-D Ionospheric Mapping -- 4.3.1.1 Surface Fitting Method -- 4.3.1.2 Distance-Weighted Method -- 4.3.1.3 Hardy Function Interpolation (HFI) Method -- 4.3.1.4 Spherical Harmonics Functions -- 4.3.1.5 Triangular Grid Method -- 4.3.2 Applications of 2-D GNSS TEC -- 4.3.2.1 TEC Climatology -- 4.3.2.2 TEC Responses to Solar Flare and Storms -- 4.3.2.3 TEC Disturbances Following Earthquakes -- 4.4 3-D GNSS Ionospheric Mapping -- 4.4.1 3-D Ionospheric Topography -- 4.4.2 Validation of GNSS Ionospheric Tomography -- 4.4.3 Assessment of IRI-2001 Using GNSS Tomography -- 4.4.4 Ionospheric Slab Thickness -- 4.4.5 3-D ionospheric Behaviours to Storms -- 4.4.5.1 Geomagnetic Conditions -- 4.4.5.2 Disturbance of F2-Layer Parameters -- References -- Chapter 5: Theory of GNSS Radio Occultation -- 5.1 Introduction -- 5.1.1 Radio Occultation in Planetary Sciences -- 5.1.2 GNSS Radio Occultation in Earth Sciences -- 5.2 Principle of GNSS Radio Occultation -- 5.2.1 Atmospheric Refraction -- 5.2.2 Geometric Optics Approximation -- 5.2.3 Spherically Symmetric Atmosphere Assumption -- 5.2.4 Bending Angle and Refractive Index. 5.3 GNSS Radio Occultation Processing -- 5.3.1 Calibrating and Extracting GNSS RO Observables -- 5.3.1.1 Precision Orbit Determination (POD) Method -- 5.3.1.2 Differencing Technique to Remove Clock Errors -- 5.3.2 Bending Angle Retrieval -- 5.3.2.1 Geometric Optics Method -- 5.3.2.2 Radio-Holographic (RH) Method -- 5.3.3 Ionosphere Retrieval -- 5.3.4 Neutral Atmosphere Retrieval -- 5.3.4.1 Ionospheric Calibration on Bending -- 5.3.4.2 Refractivity Retrieval from Abel Inversion -- 5.3.4.3 Quality Control -- References -- Chapter 6: Atmospheric Sensing Using GNSS RO -- 6.1 GNSS RO Atmospheric Sounding -- 6.1.1 Parameters Retrieval from GNSS RO -- 6.1.2 Dry Atmosphere Retrieval (Density, Pressure and Temperature) -- 6.1.3 Moist Atmosphere Retrieval -- 6.1.4 1D-Var (Variational Method) -- 6.2 Characteristics of GNSS RO Observations -- 6.2.1 Spatial Resolution (Vertical and Horizontal Resolution) -- 6.2.2 Accuracy and Precision Analysis -- 6.2.3 Measurement Errors -- 6.2.3.1 Thermal Noise -- 6.2.3.2 Clock Instability -- 6.2.3.3 Local Multipath -- 6.2.3.4 Receiver Tracking (Open Loop vs. Close Loop) -- 6.2.4 Calibration Errors -- 6.2.5 Retrieval Errors -- 6.2.5.1 Upper Boundary Condition -- 6.2.5.2 Spherically Symmetric Atmosphere Assumption -- 6.2.5.3 Atmospheric Multipath -- 6.2.5.4 Ducting (or Super-Refraction) -- 6.2.5.5 Refractivity Constant Uncertainty -- 6.2.5.6 Water Vapor Ambiguity -- 6.2.6 Experimental Validation of RO Accuracy and Precision -- 6.3 Dynamic Processes Studies with GNSS RO -- 6.3.1 Tropopause and Stratospheric Waves -- 6.3.2 Tropical Tidal Waves -- 6.3.3 Weather Front -- 6.3.4 Tropical Cyclones (TC) -- 6.3.5 Atmospheric Boundary Layer (ABL) -- 6.4 Weather Prediction Applications -- 6.4.1 GNSS RO Data Assimilation -- 6.4.2 Operational Assimilation of GNSS RO in NWP Models -- 6.5 Climate Applications. 6.6 Future Application of Radio Occultation -- 6.6.1 Future GNSS and GNSS RO Missions -- 6.6.2 Airborne and Mountain-Top GNSS RO -- 6.6.3 LEO-to-LEO Occultation -- References -- Chapter 7: Ionospheric Sounding Using GNSS-RO -- 7.1 Introduction -- 7.2 Ionospheric Inversion -- 7.2.1 Ionosphere Inversion Based on Doppler -- 7.2.2 Ionosphere Inversion Based on TEC -- 7.2.3 Recursive Inversion of TEC -- 7.2.4 Amplitude Inversion -- 7.3 Error Analysis -- 7.3.1 Measurement Errors -- 7.3.1.1 Carrier Phase Measuring Errors -- 7.3.1.2 Orbit Errors -- 7.3.2 Data Processing Errors -- 7.4 Ionospheric Products -- 7.5 GNSS-RO Ionospheric Applications -- 7.5.1 Establishing Ionospheric Models -- 7.5.2 Ionospheric Tomography -- 7.5.3 Monitoring Ionospheric Anomalies -- 7.5.4 Ionospheric Scintillation -- References -- Part III: GNSS Reflectometry and Remote Sensing -- Chapter 8: Theory of GNSS Reflectometry -- 8.1 Introduction -- 8.2 Multi-static System: Geometry and Coverage -- 8.3 Specular and Diffuse Scattering -- 8.4 Delay and Doppler -- 8.5 Reflectivity Levels and Polarization Issues -- 8.6 Scattering Theories -- 8.6.1 Kirchhoff or Tangent Plane Approximation (KA) -- 8.6.1.1 KA in Stationary-Phase Approximation (Kirchhoff Geometrical Optics, KGO) -- 8.6.1.2 KA in Physical Optics Approximation (KPO) -- 8.6.1.3 Alternative Formulations of KA -- 8.6.1.4 Validity Limits of Kirchhoff Approximations -- 8.6.2 Summary of Other Methods -- 8.6.3 Received GNSS Scattered Fields -- 8.6.4 The Bi-static Radar Equation for GNSS Modulated Signals -- 8.7 Noise and Coherence Issues -- 8.8 Systematic Errors -- 8.9 PARIS Interferometric Technique (PIT) -- 8.10 Observables -- References -- Chapter 9: Ocean Remote Sensing Using GNSS-R -- 9.1 Altimetry -- 9.1.1 Group Delay Altimetry -- 9.1.2 Atmospheric Corrections -- 9.1.3 GNSS-R Ocean Altimetric Performance. 9.2 Ocean Surface Roughness -- 9.2.1 Surface Modelling -- 9.2.1.1 Ocean Wave Spectra -- 9.2.1.2 Surface Slopes Probability -- 9.2.1.3 Surface Generation -- 9.2.2 Retrieval Approaches -- References -- Chapter 10: Hydrology and Vegetation Remote Sensing -- 10.1 Introduction -- 10.2 Hydrology GNSS-Reflectometry -- 10.3 Hydrology Sensing from GNSS-R -- 10.3.1 Waveform Correlation -- 10.3.2 Interference Pattern Technique (IPT) -- 10.3.3 Hydrology Sensing from GNSS -- 10.3.4 GNSS-R Scattering Properties -- 10.3.5 GNSS-R Polarization -- 10.4 GNSS-R Forest Biomass Monitoring -- 10.5 Summary -- References -- Chapter 11: Cryospheric Sensing Using GNSS-R -- 11.1 Dry Snow Monitoring -- 11.1.1 Dry Snow Reflection Model: Multiple-Ray Single-Reflection -- 11.1.2 Dry Snow Observable: Lag-Hologram -- 11.2 Wet Snow Monitoring -- 11.2.1 Observations from Space-Borne GNSS-R -- 11.2.2 Observations from Ground GNSS-R -- 11.3 Sounding the Sea Ice Conditions -- References -- Chapter 12: Summary and Future Chances -- 12.1 Status of GNSS Remote Sensing -- 12.1.1 Atmospheric Sensing -- 12.1.2 Ocean Sensing -- 12.1.3 Hydrology Sensing -- 12.1.4 Cryosphere Mapping -- 12.2 Future Developments and Chances -- 12.2.1 More GNSS Networks and Constellations -- 12.2.2 Advanced GNSS Receivers -- 12.2.3 New Missions and Systems -- 12.2.4 New and Emerging Applications -- 12.3 Summary -- References -- Index. This book presents the theory and methods of GNSS remote sensing as well as its applications in the atmosphere, oceans, land and hydrology. It contains detailed theory and study cases to help the reader put the material into practice. EBL201708 Engineering SzGeCERN EBL Artificial satellites in navigation EBL Environmental monitoring -- Geographic information systems BOOK Cardellach, Estel Xie, Feiqin https://cds.cern.ch/auth.py?r=EBLIB_P_1466370 ebook n 201732 201708 21 PUBLIC BOOK DELETED 2278835 SzGeCERN 20181121232415.0 9780080543192 electronic version 9780080428437 electronic version 9780080428437 print version oai:cds.cern.ch:2278835 cerncds:BOOK EBL 1457870 eng 98044137 621.4022 Ingham, Derek B Transport phenomena in porous media London Elsevier Science 1998 447 p ebook Front Cover -- Transport Phenomena in Porous Media -- Copyright Page -- Table of Contents -- PREFACE -- CHAPTER 1. THE FUNDAMENTAL THEORY OFFLOW THROUGH PERMEABLE MEDIAFROM DARCY TO TURBULENCE -- INTRODUCTION -- DARCY EQUATION -- LIMITATIONS OF THE DARCY EQUATION -- TRANSITION TO TURBULENCE: CONDUITS AND BLUFF BODIES -- EFFECT OF SOLID PARTICLES ON TURBULENCE -- TURBULENT FLOW IN A POROUS MEDIUM:MICRO- VERSUS MACRO-SCALE -- ACKNOWLEDGMENTS -- REFERENCES -- CHAPTER 2. TRANSPORT PHENOMENA IN ENCLOSEDPOROUS CAVITIES -- INTRODUCTION -- GOVERNING EQUATIONS -- NATURAL CONVECTION IN A HORIZONTALLY ECCENTRIC POROUSANNULUS -- NATURAL CONVECTION ABOUT A CORRUGATED PLATE EMBEDDED INA POROUS CAVITY -- NATURAL CONVECTION ABOUT A HEATED HORIZONTAL CYLINDER INAN ENCLOSED POROUS MEDIUM -- REFERENCES -- CHAPTER 3. HEAT CONDUCTION -- INTRODUCTION -- GOVERNING EQUATIONS -- LOCAL THERMAL EQUILIBRIUM -- CLOSURE MODELING FOR STEADY HEAT CONDUCTION -- THE EFFECTIVE STAGNANT THERMAL CONDUCTIVITY -- CONCLUDING REMARKS -- References -- CHAPTER 4. ONSET OF OSCILLATORY CONVECTION IN APOROUS MEDIUM -- INTRODUCTION -- MATHEMATICAL FORMULATION -- OSCILLATORY CONVECTION IN TWO-DIMENSION -- OSCILLATORY CONVECTION IN THREE-DIMENSION -- OSCILLATORY CONVECTION IN OTHER PROBLEMS -- CONCLUDING REMARKS -- REFERENCES -- CHAPTER 5. THERMAL NONEQUILIBRIUM FORCEDCONVECTION IN POROUS MEDIA -- 1. INTRODUCTION -- 2. MATHEMATICAL FORMULATION -- 3. SOLUTIONS FOR DIFFERENT GEOMETRY OF THE PACKED BED: THEPRODUCT SOLUTIONS -- 4. RECTANGULAR PACKED BED WITH THE PERIPHERAL WALLS KEPTAT AN ARBITRARY CONSTANT TEMPERATURE -- 5. THERMAL NONEQUILIBRIUM, NON-DARCIAN FORCED CONVECTIONUNDER STEADY CONDITIONS -- 6. OPTIMIZATION PROBLEMS FOR THERMAL NONEQUILIBRIUMFORCED CONVECTION: AN APPLICATION OF THE MINIMUMPRINCIPLE OF PONTRYAGIN -- ACKNOWLEDGMENT -- REFERENCES. CHAPTER 6. MATHEMATICAL MODELS FOR HEAT AND MASSTRANSPORT IN GEOTHERMAL SYSTEMS -- INTRODUCTION -- PHYSICAL PROCESSES -- CONSERVATION EQUATIONS -- STEADY ONE-DIMENSIONAL FLOWS -- HYDROLOGICAL MODELLING -- NUMERICAL SIMULATION -- DEEP HIGH-PRESSURE HIGH-TEMPERATURE SYSTEMS -- SUMMARY -- REFERENCES -- CHAPTER 7. NATURAL CONVECTION IN A HORIZONTALPOROUS ANNULUS -- INTRODUCTION -- PROBLEM FORMULATION -- NUMERICAL SOLUTION -- ANALYTICAL SOLUTION -- LINEAR STABILITY -- ENERGETIC STABILITY -- CONCLUSIONS -- REFERENCES -- CHAPTER 8. A UNIFIED TREATMENT OF DARCYFORCHHEIMERBOUNDARY-LAYER FLOWS -- INTRODUCTION -- MAGNITUDE ANALYSIS OF THE BOUNDARY-LAYER-EQUATIONSFOR POROUS MEDIA -- DARCY-FORCHHEIMER BOUNDARY-LAYER EQUATIONS -- MODIFIED PECLET NUMBER AND FLOW REGIME MAP -- UNIFIED TRANSFORMATIONS FOR DARCY-FORCHHEIMERBOUNDARY-LAYER EQUATIONS -- FORCED CONVECTION REGIME ( -- DARCY FREE CONVECTION REGIME -- FORCHHEIMER FREE CONVECTION REGIME -- INTERMEDIATE FLOW REGIMES -- CONCLUDING REMARKS -- References -- CHAPTER 9. TRANSIENT CONVECTION HEATTRANSFER IN A POROUS MEDIUM:EXTERNAL FLOWS -- INTRODUCTION -- BASIC EQUATIONS -- FLAT PLATES -- HORIZONTAL CYLINDERS -- SPHERES -- CONCLUDING REMARKS -- REFERENCES -- CHAPTER 10. THERMAL BOUNDARY-LAYERINSTABILITIES IN POROUS MEDIA:A CRITICAL REVIEW -- INTRODUCTION -- THE NATURE OF THE BOUNDARY-LAYER APPROXIMATION -- LINEAR ANALYSES USING THE LOCAL RAYLEIGH NUMBER -- OTHER LINEARISED ANALYSES -- THE NATURE OF LINEAR STABILITY THEORY -- ANALYSES BASED ON THE EXACT SOLUTION -- CONCLUSION -- Acknowledgements -- REFERENCES -- CHAPTER 11. EFFECTS OF ANISOTROPY ON CONVECTIVE FLOWTHROUGH POROUS MEDIA -- INTRODUCTION -- GOVERNING EQUATIONS -- HORIZONTAL POROUS LAYERS -- INCLINED POROUS LAYERS -- ENCLOSURES FILLED WITH A POROUS MEDIUM -- CONVECTIVE BOUNDARY-LAYER FLOW -- HYDRODYNAMIC DISPERSION -- DOUBLE-DIFFUSIVE CONVECTION. ANISOTROPY AND MULTILAYERED MEDIA -- Acknowledgements -- REFERENCES -- CHAPTER 12. FREE CONVECTION IN ROTATINGPOROUS MEDIA -- INTRODUCTION -- GOVERNING EQUATIONS -- ONSET OF FREE CONVECTION DUE TOCAUSED BY CENTRIFUGAL BODY FORCES -- CORIOLIS EFFECT ON FREE CONVECTION DUEBUOYANCY CAUSED BY CENTRIFUGAL FORCES -- CORIOLIS EFFECT ON FREE CONVECTIONBUOYANCY CAUSED BY GRAVITY FORCESDUE TO THERMAL -- ONSET OF FREE CONVECTION DUE TO THERMAL BUOYANCYCAUSED BY COMBINED CENTRIFUGAL AND GRAVITY FORCES -- CONCLUDING REMARKS -- REFERENCES -- CHAPTER 13. NON-DARCIAN EFFECTS IN CONFINED FORCEDCONVECTIVE FLOWS -- INTRODUCTION -- LOCAL VOLUME AVERAGING METHOD -- GOVERNING EQUATIONS -- THERMAL DISPERSION EFFECT -- TWO-EQUATION MODEL -- CONCLUSIONS -- References -- CHAPTER 14. NATURAL CONVECTION INENCLOSURES FILLED WITHANISOTROPIC POROUS MEDIA -- INTRODUCTION -- RECTANGULAR ENCLOSURES -- CIRCULAR ENCLOSURES -- References -- CHAPTER 15. INTERNAL NATURAL, FORCED AND MIXEDCONVECTION IN FLUID-SATURATEDPOROUS MEDIUM -- INTRODUCTION -- NATURAL CONVECTIONENCLOSURES -- FORCED CONVECTION -- MIXED CONVECTION -- CONCLUSIONS -- Acknowledgemen -- REFERENCE -- CHAPTRE 16. MODELING MULTIPHASE FLOW AND TRANSPORTIN POROUS MEDIA -- INTRODUCTION -- THE MULTIPHASE MIXTURE MODEL -- ANALYTICAL APPLICATIONS -- NUMERICAL APPLICATIONS -- CONCLUSIONS AND OUTLOOK -- REFERENCES -- CHAPTER 17. CONVECTIVE HEAT FLOWFROM SUDDENLY HEATED SURFACESEMBEDDED IN POROUS MEDIA -- INTRODUCTION -- GOVERNING EQUATIONS -- FREE CONVECTION FROM A VERTICAL SURFACE -- FREE CONVECTION FROM A HORIZONTAL SURFACE -- FREE CONVECTION FROM A HORIZONTALCIRCULAR CYLINDER -- MIXED CONVECTION FROM A HORIZONTALCIRCULAR CYLINDER -- CONCLUSIONS -- REFERENCES. Research into thermal convection in porous media has substantially increased during recent years due to its numerous practical applications. These problems have attracted the attention of industrialists, engineers and scientists from many very diversified disciplines, such as applied mathematics, chemical, civil, environmental, mechanical and nuclear engineering, geothermal physics and food science. Thus, there is a wealth of information now available on convective processes in porous media and it is therefore appropriate and timely to undertake a new critical evaluation of this contemporary information. Transport Phenomena in Porous Media contains 17 chapters and represents the collective work of 27 of the world's leading experts, from 12 countries, in heat transfer in porous media. The recent intensive research in this area has substantially raised the expectations for numerous new practical applications and this makes the book a most timely addition to the existing literature. It includes recent major developments in both the fundamentals and applications, and provides valuable information to researchers dealing with practical problems in thermal convection in porous media. Each chapter of the book describes recent developments in the highly advanced analytical, numerical and experimental techniques which are currently being employed and discussions of possible future developments are provided. Such reviews not only result in the consolidation of the currently available information, but also facilitate the identification of new industrial applications and research topics which merit further work. EBL201708 Engineering SzGeCERN BOOK Pop, I https://cds.cern.ch/auth.py?r=EBLIB_P_1457870 ebook n 201732 21 PUBLIC BOOK DELETED 2278834 SzGeCERN 20210202231109.0 9780080539348 electronic version electronic version 9780127423562 electronic version electronic version 9780127423562 print version oai:cds.cern.ch:2278834 cerncds:BOOK EBL 1429402 eng QP519.9.C36 -- .W45 2000eb 541.372 Weinberger, Robert Practical capillary electrophoresis 2nd ed. San Diego, CA Elsevier Science 2000 915 p ebook Cover image -- Title page -- Table of Contents -- Copyright -- Dedication -- PREFACE TO THE SECOND EDITION -- PREFACE TO THE FIRST EDITION -- MASTER SYMBOL LIST -- Chapter 1: Introduction -- 1.1 ELECTROPHORESIS -- 1.2 MICROCHROMATOGRAPHIC SEPARATION METHODS -- 1.3 CAPILLARY ELECTROPHORESIS -- 1.4 CAPILLARY ELECTROCHROMATOGRAPHY -- 1.5 MICROMACHINED ELECTROPHORETIC DEVICES -- 1.6 HISTORICAL PERSPECTIVE -- 1.7 GENERIC HPCE SYSTEMS -- 1.8 INSTRUMENTATION -- 1.9 SOURCES OF INFORMATION ON HPCE -- 1.10 CAPILLARY ELECTROPHORESIS: A FAMILY OF TECHNIQUES -- Chapter 2: Capillary Zone Electrophoresis: Basic Concepts -- 2.1 ELECTRICAL CONDUCTION IN FLUID SOLUTION -- 2.2 THE LANGUAGE OF ELECTROPHORESIS -- 2.3 ELECTROENDOOSMOSIS -- 2.4 EFFICIENCY -- 2.5 RESOLUTION -- 2.6 JOULE HEATING -- 2.7 OPTIMIZING THE VOLTAGE AND TEMPERATURE -- 2.8 CAPILLARY DIAMETER AND BUFFER IONIC STRENGTH -- 2.9 OPTIMIZING THE CAPILLARY LENGTH -- 2.10 BUFFERS -- 2.11 TEMPERATURE EFFECTS -- 2.12 BUFFER ADDITIVES -- 2.13 CAPILLARIES -- 2.14 SOURCES OF BAND BROADENING -- Chapter 3: Capillary Zone Electrophoresis: Methods Development -- 3.1 INTRODUCTION -- 3.2 MOBILITY -- 3.3 SOLUTE-WALL INTERACTIONS -- 3.4 SEPARATION STRATEGIES -- 3.5 SECONDARY EQUILIBRIUM -- 3.6 APPLICATIONS AND TECHNIQUES -- Chapter 4: Capillary Zone Electrophoresis: Secondary Equilibrium, Micelles, Cyclodextrins, and Related Reagents -- 4.1 INTRODUCTION -- 4.2 MICELLES -- 4.3 SEPARATION MECHANISM -- 4.4 SELECTING THE ELECTROLYTE SYSTEM -- 4.6 ALTERNATIVE SURFACTANT SYSTEMS -- 4.7 CYCLODEXTRINS -- 4.8 APPLICATIONS AND METHODS DEVELOPMENT -- 4.9 CHIRAL RECOGNITION -- 4.10 AFFINITY CAPILLARY ELECTROPHORESIS -- Chapter 5: Capillary Isoelectric Focusing -- 5.1 BASIC CONCEPTS -- 5.2 SEPARATION MECHANISM -- 5.3 pH GRADIENT FORMATION -- 5.4 ELECTRODE BUFFER SOLUTIONS -- 5.5 RESOLVING POWER -- 5.6 CAPILLARIES AND REAGENTS. 5.7 PERFORMING A RUN -- 5.8 INJECTION -- 5.9 FOCUSING -- 5.10 MOBILIZATION -- 5.11 SALT EFFECTS -- 5.12 DETECTION -- 5.13 APPLICATIONS -- Chapter 6: Size Separations in Capillary Gels and Polymer Networks -- 6.1 INTRODUCTION -- 6.2 SEPARATION MECHANISM -- 6.3 MATERIALS FOR SIZE SEPARATIONS -- 6.4 SIZE SEPARATIONS WITH NONREPLACEABLE POLYACRYLAMIDE -- 6.5 SIZE SEPARATIONS WITH REPLACEABLE AGAROSE -- 6.6 INTRODUCTION TO POLYMER NETWORKS -- 6.7 OPERATING CHARACTERISTICS OF POLYMER NETWORKS -- 6.8 ADDITIONAL MATERIALS FOR POLYMER NETWORKS -- 6.9 DETECTION -- 6.10 OPERATING HINTS USING POLYMER NETWORKS -- 6.11 APPLICATIONS AND METHODS DEVELOPMENT -- 6.12 REDUCING THE PROBLEM OF BIASED REPTATION -- Chapter 7: Capillary Electrochromatography -- 7.1 INTRODUCTION -- 7.2 MODES OF CEC -- 7.3 ELECTROOSMOTIC FLOW IN CEC -- 7.4 EFFICIENCY OF CEC -- 7.5 OPERATING CHARACTERISTICS OF PACKED CEC -- 7.6 APPLICATIONS -- 7.7 CEC MICROFLUIDIC DEVICES -- Chapter 8: Injection -- 8.1 VOLUMETRIC CONSTRAINTS ON INJECTION SIZE -- 8.2 PERFORMING AN INJECTION AND A RUN -- 8.3 INJECTION TECHNIQUES -- 8.4 SHORT-END INJECTION -- 8.5 INJECTION ARTIFACTS: PROBLEMS AND SOLUTIONS -- 8.6 STACKING AND TRACE ENRICHMENT -- Chapter 9: Detection -- 9.1 ON-CAPILLARY DETECTION -- 9.2 THE DETECTION PROBLEM -- 9.3 LIMITS OF DETECTION -- 9.4 DETECTION TECHNIQUES -- 9.5 BAND BROADENING -- 9.6 ABSORPTION DETECTION -- 9.7 FLUORESCENCE DETECTION -- 9.8 DERIVATIZATION -- 9.9 MASS SPECTROMETRY -- 9.10 MICROPREPARATIVE FRACTION COLLECTION -- Chapter 10: Putting It All Together -- 10.1 SELECTING THE MODE OF HPCE -- 10.2 REQUIREMENTS FOR ROBUST SEPARATIONS -- 10.3 REALISTIC COMPROMISES -- 10.4 QUANTITATIVE ANALYSIS -- 10.5 SAMPLE PREPARATION -- 10.6 MOBILITY AS A QUALITATIVE TOOL -- 10.7 VALIDATION -- 10.8 TROUBLESHOOTING -- INDEX. In the 1980s, capillary electrophoresis (CE) joined high-performance liquid chromatography (HPLC) as the most powerful separation technique available to analytical chemists and biochemists. Published research using CE grew from 48 papers in the year of commercial introduction (1988) to 1200 in 1997. While only a dozen major pharmaceutical and biotech companies have reduced CE to routine practice, the applications market is showing real or potential growth in key areas, particularly in the DNA marketplace for genomic mapping and forensic identification. For drug development involving small molecules (including chiral separations), one CE instrument can replace 10 liquid chromatographs in terms of speed of analysis. CE also uses aqueous rather than organic solvents and is thus environmentally friendlier than HPLC. The second edition of Practical Capillary Electrophoresis has been extensively reorganized and rewritten to reflect modern usage in the field, with an emphasis on commercially available apparatus and reagents. This authoritative and very comprehensible treatment builds on the author's extensive experience as an instructor of short courses for the American Chemical Society and for industry. Key Features * Illustrated with detailed diagrams of electrophoretic phenomena * Offers step-by-step methods development schemes * Presents techniques for developing quantitative, robust, and precise methods * Includes an extensive troubleshooting guide * Updates and greatly expands on the first edition-more than 50% of the text is new * Written by an internationally recognized scientist who is an instructor for American Chemical Society short courses on HPCE. EBL201708 Chemical Physics and Chemistry SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1429402 ebook n 201732 21 PUBLIC BOOK DELETED 2278833 SzGeCERN 20200222231825.0 9789048192915 electronic version electronic version 9789048192915 print version 9789048192922 electronic version electronic version oai:cds.cern.ch:2278833 cerncds:BOOK eng G1-922 621.3678 Goodman, James A Coral reef remote sensing a guide for mapping, monitoring and management Dordrecht Springer 2013 446 p Foreword and Onward -- Preface -- Acknowledgments -- Contents -- Contributors -- Section I Visible and Infrared -- 1 Visible and Infrared Overview -- Abstract -- 1.1…Introduction -- 1.1.1 Visible and Infrared Imaging Systems -- 1.1.2 Chapter Outline -- 1.2…Physical and Technical Principles -- 1.2.1 Imaging Sensor Dimensions -- 1.2.2 Spectral Characteristics -- 1.2.3 PhotographyPhotography (Film and Digital) -- 1.2.4 MultispectralMultispectral Imaging Systems -- 1.2.5 HyperspectralHyperspectral Imaging Systems -- 1.3…Image ProcessingProcessing -- 1.3.1 Image Preprocessing -- 1.3.2 ProcessingProcessing Types -- 1.3.3 Thematic Mapping -- 1.3.4 Biophysical or Continuous Variable Mapping -- 1.4…Future Directions -- 1.4.1 Technological Advances -- 1.4.2 Scientific Advances -- Acknowledgments -- Suggested Reading -- References -- 2 Photography Applications -- Abstract -- 2.1…Introduction -- 2.2…PhotographyPhotography of Coral ReefCoral reefs -- 2.3…PhotographyPhotography Analysis and ClassificationClassification Techniques -- 2.4…Example Applications of PhotographyPhotography -- 2.4.1 Baseline Spatial Mapping -- 2.4.2 Time Series AnalysisTime series analysis -- 2.4.3 Astronaut PhotographyAstronaut photography as a Secondary Data Source -- 2.4.4 Suspended SedimentSediment Studies -- 2.5…Conclusions and Future Directions -- Acknowledgments -- Suggested Reading -- References -- 3 Multispectral Applications -- Abstract -- 3.1…Introduction -- 3.2…MultispectralMultispectral Analysis and ClassificationClassification -- 3.2.1 Types of Analysis -- 3.2.2 Image ProcessingProcessing -- 3.2.3 Time-Series Analysis -- 3.3…Example Applications -- 3.3.1 Reef Mapping -- 3.3.2 Change DetectionChange detection -- 3.3.3 Reef ModelingModeling -- 3.4…Conclusions and Future Directions -- 3.4.1 Integration with Other Sensor Modalities. 3.4.2 Integration with Field MonitoringMonitoring -- 3.4.3 Integration with ModelingModeling -- 3.4.4 Integration with Management -- Acknowledgments -- Suggested Reading -- References -- 4 HyperspectralHyperspectral Applications -- Abstract -- 4.1…Introduction -- 4.1.1 Relevance to Coral ReefCoral reef ManagementCoral reefManagement -- 4.1.2 Design and Operational Considerations -- 4.2…HyperspectralHyperspectral Planning and Preprocessing -- 4.2.1 Data and ProcessingProcessing Requirements -- 4.2.2 Preprocessing Considerations -- 4.2.3 Atmospheric CorrectionAtmospheric correction -- 4.2.4 Cross Track Variation and Correction -- 4.2.5 SunglintSunglint Correction -- 4.2.6 Depth CorrectionDepth correction -- 4.3…HyperspectralHyperspectral Algorithms -- 4.3.1 ClassificationClassification -- 4.3.2 Band-Specific Analysis -- 4.3.3 Spectral UnmixingUnmixing -- 4.3.4 BathymetryBathymetry -- 4.3.5 Change DetectionChange detection -- 4.3.6 Inversion Methods -- 4.4…Conclusions -- Acknowledgments -- Suggested Reading -- References -- Section II LiDAR -- 5 LiDARLiDAR Overview -- Abstract -- 5.1…Introduction -- 5.2…Physical Principles -- 5.2.1 AircraftAircraft-Deployed LiDARLiDAR -- 5.2.2 Field-Deployed LiDARLiDAR -- 5.2.3 Cost and Application -- 5.3…Image Products and Environmental Variables -- 5.3.1 Bathymetric Products -- 5.3.2 Biotic FeaturesBiotic features -- 5.3.3 Abiotic FeaturesAbiotic features -- 5.3.4 Surrounding EnvironmentEnvironment -- 5.4…ProcessingProcessing and ValidationValidation Requirements -- Acknowledgments -- Suggested Reading -- References -- 6 LiDARLiDAR Applications -- Abstract -- 6.1…Introduction -- 6.2…Example LiDARLiDAR Applications -- 6.2.1 Navigational Charting -- 6.2.2 Benthic HabitatBenthic habitat Mapping -- 6.2.3 Morphology and Topographic ComplexityTopographic complexity -- 6.2.4 Marine Protected Area Planning. 6.2.5 Marine GeologyMarine Geology -- 6.2.6 Coastal SedimentSediment Management -- 6.2.7 Risk Assessment and Environmental Change -- 6.3…Future Directions in LiDARLiDAR -- 6.3.1 Integration with Other Sensors -- 6.3.2 Deployment on Different Platforms -- 6.4…Conclusion -- Acknowledgments -- Suggested Reading -- References -- 7 Integrated LiDAR and Hyperspectral -- Abstract -- 7.1…Introduction -- 7.2…LiDARLiDAR/Hyperspectral ProcessingProcessing -- 7.2.1 SIT Data FusionData fusion Model -- 7.2.2 LiDARLiDAR-Derived Parameters -- 7.2.3 HyperspectralHyperspectral Color Balancing -- 7.2.4 Constrained Optimization ModelingModeling -- 7.3…Applications of LiDARLiDAR/Hyperspectral Fusion -- 7.3.1 Decision-Tree ClassificationClassification -- 7.3.2 Dempster-Shafer Method -- 7.4…Summary and Discussion -- Acknowledgments -- Suggested Reading -- References -- Section III Acoustic -- 8 Acoustic Methods Overview -- Abstract -- 8.1…Introduction -- 8.2…Physical and Technical Principles -- 8.2.1 The Sound WaveSound Wave -- 8.2.2 Sound in Water -- 8.2.3 Sending and Receiving the Signal -- 8.2.4 ProcessingProcessing Requirements -- 8.3…Applications of Acoustics -- 8.3.1 Single Beam BathymetryBathymetry -- 8.3.2 Side Scan SONARSonar -- 8.3.3 Multi-Beam SONARMulti-Beam Sonar -- 8.3.4 Acoustic Doppler Current Profiling -- 8.3.5 Fisheries AcousticsFisheries Acoustics -- 8.4…Conclusion -- References -- 9 Acoustic Applications -- Abstract -- 9.1…Introduction -- 9.1.1 Relevance to Coral ReefCoral reef ManagementCoral reefManagement -- 9.1.2 Role of Acoustics in Benthic HabitatBenthic habitat Mapping -- 9.1.3 Acoustic Remote SensingAcoustic remote sensing Platforms -- 9.1.4 Selecting an Acoustic System -- 9.2…Applications -- 9.2.1 Single-Beam Acoustic Seabed ClassificationClassification -- 9.2.2 Multi-Beam Echo SounderMulti-beam echo sounder Application. 9.2.3 Phase DifferencingPhase differencing Bathymetric SonarSonar -- 9.2.4 Split-Beam Application -- 9.3…State of the Science and Future Directions -- Suggested Reading -- References -- 10 Deep Acoustic Applications -- Abstract -- 10.1…Introduction -- 10.2…History of Mapping Cold-Water CoralCold-water coral Habitats -- 10.3…Cold-Water CoralCold-water coral Mapping Example -- 10.3.1 SonarSonar and AUV Configuration -- 10.3.2 Survey Design and Data Analysis -- 10.3.3 Cold-Water CoralCold-water coral Mound Characterization -- 10.3.4 Mound MorphometricsMorphometrics -- 10.3.5 Habitat ClassificationClassification Map -- 10.4…Conclusions and Recommendations -- Acknowledgments -- Suggested Reading -- References -- Section IV Thermal and Radar -- 11 Thermal and Radar Overview -- Abstract -- 11.1…Introduction -- 11.2…Thermal Overview -- 11.2.1 Thermal Physical Principles -- 11.2.2 Acquisition Logistics -- 11.2.3 History of Thermal MonitoringMonitoring -- 11.2.4 Thermal ProcessingProcessing Requirements -- 11.2.5 Thermal ValidationValidation -- 11.3…RadarRadar Overview -- 11.3.1 RadarRadar Physical Principles -- 11.3.2 RadarRadar Systems -- 11.3.3 RadarRadar ProcessingProcessing Requirements -- 11.3.4 RadarRadar ValidationValidation -- 11.4…Conclusion -- Acknowledgments -- Suggested Reading -- References -- 12 Thermal Applications -- Abstract -- 12.1…Introduction -- 12.1.1 Infrared and Microwave Sensors -- 12.1.2 Measurement Accuracies -- 12.1.3 QualityQualityflagging Control -- 12.2…Thermal Data Products and Analysis -- 12.2.1 AVHRRAVHRRAdvanced Very High Resolution Radiometer PathfinderPathfinder Series -- 12.2.2 Group for High-Resolution SST -- 12.2.3 Quantifying Trendstrends and Changes -- 12.2.4 Application to Reef Management -- 12.2.5 Limitations -- 12.3…Example Thermal Applications -- 12.3.1 Marine Protected Area Design. 12.3.2 Water QualityWater quality and Coral Bleaching -- 12.3.3 Coastal and Oceanic Upwelling -- 12.4…Future Directions -- Acknowledgments -- Suggested Reading -- References -- 13 RadarRadar Applications -- Abstract -- 13.1…Introduction -- 13.2…HF Ocean RadarRadar -- 13.2.1 Analysis and ClassificationClassification Techniques -- 13.2.2 System Comparison -- 13.2.3 Example Applications -- 13.3…VHF High Resolution RadarRadar -- 13.3.1 System Overview -- 13.3.2 Example Application -- 13.4…Synthetic Aperture RadarRadar -- 13.4.1 Analysis and ClassificationClassification Techniques -- 13.4.2 Example Applications -- 13.5…Scatterometers -- 13.5.1 Analysis Techniques -- 13.5.2 Example Application -- 13.6…X-band Wave Radars -- 13.7…Conclusions and Future Directions -- Acknowledgments -- References -- Section V Effective Use of Remote Sensing in Science and Management -- 14 Validation -- Abstract -- 14.1…Introduction -- 14.2…Sampling DesignSampling design and AccuracyAccuracy Measures -- 14.2.1 Sampling DesignSampling design -- 14.2.2 AccuracyAccuracy of Discrete MapsDiscrete maps -- 14.2.3 AccuracyAccuracy of Continuous MapsContinuous maps -- 14.3…ValidationValidation Literature Review -- 14.3.1 Mapping Approaches -- 14.3.2 Sampling DesignSampling design -- 14.3.3 AccuracyAccuracy Measures -- 14.3.4 ValidationValidation Limitations -- 14.4…Conclusions and Recommendations -- Acknowledgments -- Suggested Reading -- References -- 15 Science and Management -- Abstract -- 15.1…Introduction -- 15.2…Research and Management Needs -- 15.2.1 Framing the Question -- 15.2.2 User Versus Producer Needs -- 15.2.3 Data Requirements and Limitations -- 15.2.4 Balancing Costs and Product Quality -- 15.3…Example Applications -- 15.3.1 Resource Management -- 15.3.2 Predictive MappingPredictive mapping of Fish AssemblageFish assemblages. 15.3.3 Threat and Damage AssessmentDamage assessments. This book offers a multi-level examination of remote-sensing technologies for mapping and monitoring coral reef ecosystems, ranging from satellite and airborne imagery to ship-based observation. Includes examples of practical applications of the technologies. EBLlink deleted SzGeCERN Engineering EBL Coral reefs and islands BOOK Purkis, Samuel J Phinn, Stuart R 201708 n 201732 21 PUBLIC BOOK DELETED 2278825 SzGeCERN 20200808000722.0 9781461476399 electronic version electronic version 9781489993540 electronic version electronic version 9781489993540 print version oai:cds.cern.ch:2278825 cerncds:BOOK EBL 1398453 eng HF4999.2-6182 519.6 Choi, Tsan-Ming Handbook of EOQ inventory problems stochastic and deterministic models and applications Boston, MA Springer 2013 281 p ebook International series in operations research & management science 197 Preface -- Contents -- Contributors -- Part I Introduction and Review -- 1 A Century of the EOQ -- Abstract -- 1…Introduction -- 2…The Original EOQ ModelEOQ model -- 2.1 Model Assumptions -- 2.2 Model Derivation -- 2.3 Model Implementation -- 3…The 1950s and 1960s -- 4…The 1970s -- 4.1 Analysis of EOQEOQ Performance -- 4.2 Development of EOQ Extensions -- 4.3 EOQEOQ and MRP -- 5…The 1980s -- 5.1 Analysis of EOQ Performance -- 5.2 Development of EOQEOQ Extensions -- 5.3 Application in TransportationTransportation and Logistics -- 6…The 1990s -- 7…The 2000s to the Present -- 7.1 Supply ChainSupply chain Models -- 7.2 SustainabilitySustainability -- 8…Conclusion -- References -- 2 Multi-Period Lot-Sizing with Stationary Demand: Extension to Forecast Horizons -- Abstract -- 1…Introduction -- 2…Model Formulation and Analytical Results -- 3…Forecast HorizonForecast horizon Results for the Undiscounted Problem -- 4…The Discounted Cost Problem -- 5…Summary and Concluding Remarks -- References -- 3 EOQ Models with Supply Disruptions -- Abstract -- 1…Introduction -- 2…The EOQEOQ Model with External Supply DisruptionsExternal supply disruptions -- 2.1 The Exact ModelExact model -- 2.2 An ApproximationApproximation -- 3…The EOQ Model with External and Internal Supply DisruptionsInternal supply disruptions -- 4…Extensions of the EOQD Model -- 4.1 Disruptions in Manufacturing EnvironmentEnvironments -- 4.2 Disrupted Demand Process -- 4.3 EOQD Model with Demand UncertaintyDemand uncertainty -- 4.4 Phase-Type DisruptionDisruption Parameters -- 5…Conclusions and Future Research Directions -- References -- Part II Single-Echelon Problems -- 4 Existence of EOQ and its Evaluation: Some Cases of Stock Blow Down Dynamics Depending on its Level -- Abstract -- 1…Introduction -- 2…Demand Depending on the Stock Level Only -- 2.1 Applications to Known Models. 2.2 More Applications -- 2.2.1 Affine Demand -- 2.2.2 Rational Demand -- 2.2.3 Quadratic DemandQuadratic demand -- 2.2.4 Exponential -- 3…Backordering -- 4…Sample Problems -- 4.0 -- 4.0 -- 4.0 -- 4.0.0 -- 4.0 -- 4.0.0 -- 5…Conclusions -- Acknowledgments -- References -- 5 Generalizing the Ordering Cost and Holding-Backlog Cost Rate Functions in EOQ-Type Inventory Models -- Abstract -- 1…Introduction -- 1.1 The Standard EOQ Model -- 1.2 Our Generalization of the EOQ ModelEOQ model -- 2…Related Literature -- 2.1 Ordering/Production Costs -- 2.2 Holding and Backlog Costs -- 3…The Model -- 4…The Order-Up-to LevelOrder-up-to level and Its Sensitivity -- 4.1 The Optimal Order-Up-to Level Order-up-to levelfor a Given Cycle Length -- 4.2 Sensitivity Analysis -- 4.2.1 No Opportunity Cost -- 4.2.2 Positive Opportunity Cost -- 5…The Optimal Cycle LengthOptimal cycle length -- 5.1 No Opportunity Cost -- 5.2 Positive Opportunity Cost -- 6…Bounding the Optimal Cycle Length Optimal cycle lengthfor General Ordering Cost Functions -- 7…Numerical Study -- 8…Conclusions -- A.x(118). 9…Appendix: Omitted Proofs -- References -- 6 Economic and Environmental Performance of the Firm: Synergy or Trade-Off? Insights from the EOQ Model -- Abstract -- 1…Introduction -- 2…EOQ Model with Cost and Environmental Dimensions -- 3…Cost and Environmental Performance: Aligned or Conflicting? -- 4…Discussion and Managerial Insights -- 5…Conclusions -- A.x(118). Appendix -- 7 EOQ Models with Two Modes of Freight Transportation and All-Units Quantity Discounts -- Abstract -- 1…Introduction -- 2…Literature Review -- 3…Infinite HorizonInfinite horizon Single-StageSingle stage Model -- 3.1 Solution Algorithm for Infinite HorizonInfinite horizon Single-Stage Model -- 4…Infinite HorizonInfinite horizon Single-StageSingle stage Model with All-Units Quantity DiscountsAll-Units Quantity Discounts. 4.1 Solution Algorithm for the All-Units Quantity DiscountQuantity discount Model -- 4.2 Identifying Potential Minima -- 4.3 Solution Algorithm for Infinite Horizon Single-StageSingle stage Model with Quantity DiscountQuantity discounts -- 5…Illustrative Example -- 6…Conclusions -- References -- Part III Multi-Echelon Problems -- 8 An EOQ-Based Spare Parts Network Design -- Abstract -- 1…Introduction -- 2…Problem Setting -- 3…Literature -- 3.1 The Facility Location Facility location problemProblem -- 3.2 Spare PartsSpare part Inventories -- 3.3 Integrated ModelsIntegrated model -- 4…Model -- 4.1 The Miranda and Garrido Model -- 4.2 The DCP Model -- 5…Case Study -- 5.1 Data Collection and Analysis -- 5.2 Calculation of the Distances -- 6…Results -- 7…Conclusion -- References -- 9 Supply Chain CoordinationSupply chain coordination with EnergyEnergy Price Price uncertaintyUncertainty, Carbon Emission Cost, and Product ReturnProduct return -- Abstract -- 1…Introduction -- 2…The Model -- 2.1 The Buyer's Total Expected Cost -- 2.1.1 Transportation Cost -- 2.1.2 Setup CostSetup cost and Screening CostScreening cost -- 2.1.3 Holding Cost -- 2.1.4 Carbon Emission Cost -- 2.2 The Vendor's Total Expected Cost Per Unit Time -- 2.2.1 Holding Cost -- 2.2.2 Transportation CostTransportation cost -- 2.2.3 Carbon EmissionCarbon emission and Setup Costs -- 2.3 The Total Expected Cost Per Unit Time -- 3…A Numerical Example -- 4…Conclusion -- References -- 10 Coordinating a Supply Chain with an EOQ Model -- Abstract -- 1…Introduction -- 2…Framework -- 3…Models -- 3.1 Decentralized Supply ChainSupply chain Decision -- 3.2 Centralized Supply Chain Decision -- 3.3 Coordinating the Supply ChainSupply chain Through a (ctd, CRd) Contract -- 4…Discussion for Some Cases -- 4.1 Case I: When \frac{{s_{M} }}{{s_{R} }} \gt 1. 4.1.1 Range I: If 3 - \frac{2D}{{p_{M} }} \lt \frac{{h_{R} }}{{h_{M} }} -- 4.1.2 Range II: \frac{{h_{R} }}{{h_{M} }} \lt 3 - \frac{2D}{{p_{M} }} \le \frac{{h_{R} }}{{h_{M} }}\frac{{s_{M} }}{{s_{R} }} -- 4.1.3 Range III: \frac{{h_{R} }}{{h_{M} }}\frac{{s_{M} }}{{s_{R} }} \lt 3 - \frac{2D}{{p_{M} }} \lt \frac{{h_{R} }}{{h_{M} }}\frac{{(s_{M} + 2s_{R} )}}{{s_{R} }} -- 4.1.4 Range IV: 3 - \frac{2D}{{p_{M} }} \gt \frac{{h_{R} }}{{h_{M} }}\frac{{(s_{M} + 2s_{R} )}}{{s_{R} }} -- 4.2 Case II: When \frac{{s_{M} }}{{s_{R} }} \lt 1 -- 4.2.1 Range I: If 3 - \frac{2D}{{p_{M} }} \le \frac{{h_{R} }}{{h_{M} }}\frac{{s_{M} }}{{s_{R} }} -- 4.2.2 Range II: \frac{{h_{R} }}{{h_{M} }}\frac{{s_{M} }}{{s_{R} }} \lt 3 - \frac{2D}{{p_{M} }} \lt \frac{{h_{R} }}{{h_{M} }} -- 4.3 Range III: \frac{{h_{R} }}{{h_{M} }} \lt 3 - \frac{2D}{{p_{M} }} \lt \frac{{h_{R} }}{{h_{M} }}\frac{{(s_{M} + 2s_{R} )}}{{s_{R} }} -- 4.3.1 Range IV: 3 - \frac{2D}{{p_{M} }} \gt \frac{{h_{R} }}{{h_{M} }}\frac{{(s_{M} + 2s_{R} )}}{{s_{R} }} -- 5…Numerical Examples -- 6…Conclusion -- Acknowledgments -- A.x(118). Appendix -- References -- 11 The Utility of EOQ in Supply Chain Design and Operation -- Abstract -- 1…Introduction -- 2…Location ModelsLocation model -- 2.1 Discrete Location ModelsDiscrete location model -- 2.2 Continuous Location ModelsContinuous location model -- 2.3 Sourcing ModelsSourcing model -- 3…Transportation ModelsTransportation model -- 3.1 Integrated Inventory and Transportation ModelsTransportation model -- 3.2 Inventory Routing ProblemsInventory routing problem -- 4…Inventory Models -- 4.1 CM 1: Equal Cycle Time -- 4.2 CM 2: Integer PoliciesInteger policies -- 4.3 CM 3: Power-of-Two Policies -- 5…Conclusions -- References -- 12 Modeling a Coordinated Manufacturer--Buyer Single-Item System Under Vendor-Managed InventoryVendor-managed inventory -- Abstract -- 1…Introduction. 2…Literature Review -- 3…Modeling Framework -- 4…Sensitivity Analysis -- 4.1 Total Cost Savings Throughout the Supply ChainSupply chain -- 4.2 Savings in Inventory Holding CostHolding costs for the Buyer -- 4.3 Savings in Inventory Holding CostHolding costs for the Manufacturer -- 4.4 Savings in Buyer Ordering Costs -- 4.5 Savings in Manufacturer Total Costs -- 4.6 Savings in Buyer's Total Costs -- 5…Conclusions -- 5.1 Managerial Implications -- 6…Future Work -- Acknowledgments -- A.x(118). Appendix 1 -- A.x(118). Appendix 2 -- A.x(118). Appendix 3 -- A.x(118). Appendix 4 -- References -- Index. This book explores deterministic and stochastic EOQ-model based problems and applications, presenting technical analyses of single-echelon EOQ model based inventory problems, and applications of the EOQ model for multi-echelon supply chain inventory analysis. EBL201708 Mathematical Physics and Mathematics SzGeCERN EBL Operations research BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1398453 ebook n 201732 201708 21 PUBLIC BOOK DELETED 2278820 SzGeCERN 20180515232349.0 9780124115217 electronic version 9780124114913 electronic version EBL 1361891 eng TN871 -- .F56 2013eb 621.20424 Fink, Johannes Hydraulic fracturing chemicals and fluids technology Saint Louis, MO Elsevier Science 2013 249 p Half Title -- Title Page -- Copyright -- Contents -- Preface -- Acknowledgments -- 1 General Aspects -- Stresses and Fractures -- Fracture Initialization Pressure -- Pressure Decline Analysis -- Comparison of Stimulation Techniques -- Action of a Fracturing Fluid -- Stages in a Fracturing Job -- Simulation Methods -- Productivity -- Fracture Propagation -- Proppants -- Fluid Loss -- Foam Fluid -- Discharge Control -- Testing -- Proppant Placement -- Slickwater Fracturing -- Erosion -- Fluid Leakoff -- Damaged Well -- Crosslinked Fluids -- Special Applications -- Coiled Tubing Fracturing -- Hydrajet Fracturing -- Tight Gas -- Shale Gas -- Coalbed Methane -- References -- 2 Fluid Types -- Comparison of Different Techniques -- Expert Systems for Assessment -- Oil-Based Systems -- Foam-Based Fracturing Fluids -- Acid Fracturing -- Encapsulated Acids -- In situ Formation of Acids -- Fluid Loss -- Gel Breaker for Acid Fracturing -- Special Problems -- Corrosion Inhibitors -- Iron Control in Fracturing -- Enhanced Temperature Stability -- Chemical Blowing -- Frost-Resistant Formulation -- Formation Damage in Gas Wells -- Characterization of Fracturing Fluids -- Rheologic Characterization -- Zirconium-Based Crosslinking Agent -- Oxidative Gel Breaker -- Size Exclusion Chromatography -- Assessment of Proppants -- References -- 3 Thickeners -- Polymers -- pH Responsive Thickeners -- Mixed Metal Hydroxides -- Thickeners for Water-based Systems -- Zirconium-based Crosslinking Composition -- Guar -- Hydroxyethyl Cellulose -- Biotechnologic Products -- Gellan Gum and Wellan Gum -- Reticulated Bacterial Cellulose -- Xanthan Gum -- Viscoelastic Formulations -- Miscellaneous Polymers -- Lactide Polymers -- Biodegradable Formulations -- Concentrates -- Thickeners for Oil-based Systems -- Organic Gel Aluminum Phosphate Ester -- Increasing the Viscosity of Diesel. Viscoelasticity -- Viscoelastic Thickeners -- Enhanced Shear Recovery Agents -- References -- 4 Friction Reducers -- Incompatibility -- Polymers -- Environmental Aspects -- Carbon dioxide Foamed Fluids -- Polymer Emulsions -- Oil-External Copolymer Emulsions -- Poly(acrylamide) with Weak Labile Links -- References -- 5 Fluid Loss Additives -- Mechanism of Action of Fluid Loss Agents -- Fluid Loss Measurement -- Action of Macroscopic Particles -- Additive Chemicals -- Granular Starch and Mica -- Depolymerized Starch -- Controlled Degradable Fluid Loss Additives -- Degradation of Fluid Loss Additives -- Succinoglycan -- Scleroglucan -- Poly(orthoester)s -- Poly(hydroxyacetic acid) -- Polyphenolics -- Phthalimide as a Diverting Material -- Viscoelastic Additives -- Degradation of Fluid Loss Additives -- References -- 6 Emulsifiers -- Oil-in-Water Emulsions -- Invert Emulsions -- Water-in-Water Emulsions -- Oil-in-Water-in-Oil Emulsions -- Microemulsions -- Solids-Stabilized Emulsion -- Biotreated Emulsion -- References -- 7 Demulsifiers -- Basic Action of Demulsifiers -- Desired Properties -- Mechanisms of Demulsification -- Stabilization of Water-Oil Emulsions -- Interfacial Tension Relaxation -- Chemicals -- Chelating Agents -- References -- 8 Clay Stabilization -- Properties of Clays -- Swelling of Clays -- Montmorillonite -- Guidelines -- Mechanisms Causing Instability -- Kinetics of Swelling of Clays -- Hydrational Stress -- Borehole Stability Model -- Shale Inhibition with Water-Based Muds -- Inhibiting Reactive Argillaceous Formations -- Formation Damage by Fluids -- Swelling Inhibitors -- Salts -- Quaternary Ammonium Salts -- Potassium formate -- Saccharide Derivatives -- Sulfonated Asphalt -- Grafted Copolymers -- Poly(oxyalkylene amine)s -- Anionic Polymers -- Amine Salts of Maleic Imide -- Guanidyl Copolymer -- Special Clay Stabilizers. References -- 9 pH Control Additives -- Theory of Buffers -- pH Control -- References -- 10 Surfactants -- Performance Studies -- Viscoelastic Surfactants -- Cationic Surfactants -- Anionic Surfactants -- Anionic Brominated Surfactants -- References -- 11 Scale Inhibitors -- Classification and Mechanism -- Thermodynamic Inhibitors -- Kinetic Inhibitors -- Adherence Inhibitors -- Interference of Chelate Formers -- Mathematical Models -- Optimal Dose -- Precipitation Squeeze Method -- Inhibitor Chemicals -- Water-soluble Inhibitors -- Acids -- Encapsulated Scale Inhibitors -- Chelating Agents -- Biodegradable Scale Inhibitors -- Oil-Soluble Scale Inhibitors -- Aloe-based Scale Inhibitor -- Acrolein Copolymer -- High Reservoir Temperatures -- References -- 12 Foaming Agents -- Environmentally Safe Fluids -- Liquid Carbon Dioxide Foams -- References -- 13 Defoamers -- Theory of Defoaming -- Stability of Foams -- Action of Defoamers -- Spreading Coefficient -- Classification of Defoamers -- Active Ingredients -- Liquid Components -- Synergistic Antifoam Action by Solid Particles -- Silicone Antifoaming Agents -- Exemplary Composition -- References -- 14 Crosslinking Agents -- Kinetics of Crosslinking -- Delayed Crosslinking -- Crosslinking Additives -- Borate Systems -- Titanium Compounds -- Zirconium Compounds -- Guar -- Hydroxypropyl Guar -- Delayed Crosslinking Additives -- References -- 15 Gel Stabilizers -- Chemicals -- Special Issues -- Water Softeners -- Borate Reserve -- Electron Donor Compounds -- Effects of pH on Gel Stability -- References -- 16 Gel Breakers -- Gel Breaking in Water-Based Systems -- Oxidative Breakers -- Hypochlorite Salts -- Peroxide Breakers -- Redox Gel Breakers -- Delayed Release of Acid -- Hydroxyacetic Acid Condensates -- Enzyme Gel Breakers -- Interactions -- Encapsulated Gel Breakers -- Gel Breaking of Guar. Enzyme Breaking of Guar -- Viscoelastic Surfactant Gelled Fluids -- Granules -- Gel Breakers for Oil-Based Systems -- Enzyme-Based Gel Breaking -- Breaker Enhancers for VES -- Surfactant Polymer Compositions -- References -- 17 Biocides -- Mechanisms of Growth -- Growth of Bacteria Supported by Oilfield Chemicals -- Mathematical Models -- Model of Colony Growth -- Sulfate-Reducing Bacteria -- Bacterial Corrosion -- pH Regulation -- Biocide Enhancers -- Performance Control -- Treatments with Biocides -- Previously Fractured Formations -- Intermittent Addition of Biocide -- Nonbiocidal Control -- Biocompetitive Exclusion Technology -- Inhibitors for Bacterial Films -- Periodic Change in Ionic Strengths -- Special Chemicals -- References -- 18 Proppants -- Fluid Loss -- Tracers -- Proppant Diagenesis -- Propping Agents -- Sand -- Ceramic Particles -- Bauxite -- Light-weight Proppants -- Computational and Experimental Approach -- Inverted Proppant Convection -- Porous Pack with Fibers -- Coated Proppants -- Antisettling Additives -- Proppant Flowback -- Thermoplastic Films -- Adhesive-Coated Material -- Magnetized Material -- References -- 19 Special Compositions -- Heat-Generating System -- Crosslinkable Synthetic Polymers -- Single Phase Microemulsion -- Crosslinking Composition -- References -- 20 Environmental Aspects -- Risk Analysis -- Contaminated Water Reclaim -- Wastewater from Hydro-fracturing -- Phosphorus Recovery in Flowback Fluids -- Green Formulations -- Biodegradable Chelants -- Nontoxic Flowback Formulation -- Crosslinking Agents -- Self-Degrading Foaming Composition -- References -- Index -- Tradenames -- Acronyms -- Chemicals -- General Index. When classifying fracturing fluids and their additives, it is important that production, operation, and completion engineers understand which chemical should be utilized in different well environments. A user's guide to the many chemicals and chemical additives used in hydraulic fracturing operations, Hydraulic Fracturing Chemicals and Fluids Technology provides an easy-to-use manual to create fluid formulations that will meet project-specific needs while protecting the environment and the life of the well. Fink creates a concise and comprehensive reference that enables the engineer to logically select and use the appropriate chemicals on any hydraulic fracturing job. The first book devoted entirely to hydraulic fracturing chemicals, Fink eliminates the guesswork so the engineer can select the best chemicals needed on the job while providing the best protection for the well, workers and environment. Pinpoints the specific compounds used in any given fracturing operation Provides a systematic approach to classifying fracturing fluid technology to meet specific project needs Eliminates guesswork with easy-to-understand language on selection and components of hydraulic fracturing chemicals Addresses environmental aspects of chemicals to safeguard employees and protect the environment. 9780124114913 print version oai:cds.cern.ch:2278820 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1361891 ebook ebook EBL201708 Engineering SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2278815 SzGeCERN 20180822202547.0 9781607616207 electronic version 9781607616191 electronic version EBL 1317576 eng R1 615.842 Ravenel, James G Lung cancer imaging New York, NY Springer 2013 205 p Contemporary medical imaging Foreword -- Preface -- Contents -- Contributors -- 1: Epidemiology of Lung Cancer -- Patterns of Occurrence -- Incidence -- Survival -- Age -- Race and Ethnicity -- Sex -- Socioeconomic Status -- Histopathology -- Modifiable Risk Factors -- Cigarette Smoking -- Other Forms of Smoking -- Smoking Trends -- Smoking Cessation -- Smoking Prevention and Control -- Secondhand Smoke Exposure -- Occupational and Environmental Exposures -- Asbestos -- Radiation -- High LET: Radon -- Low LET: X-Rays and Gamma Rays -- Air Pollution -- Diet and Physical Activity -- Host Factors -- History of Lung Disease -- Chronic Obstructive Pulmonary Disease -- Tuberculosis -- Genetic Susceptibility -- Chemoprevention -- Conclusion -- References -- 2: Classification of Lung Tumors -- Background -- Adenocarcinoma -- Squamous Cell Carcinoma -- Small Cell Carcinoma -- Large Cell Carcinoma -- References -- 3: Screening for Lung Cancer -- Biases Inherent in Screening Studies -- Screening with Chest Radiographs: A Historical Perspective -- Potential Harms Inherent in CT Screening -- Screening for Lung Cancer: Computed Tomography in Nonrandomized Trials -- Screening for Lung Cancer: Computed Tomography in Randomized Trials -- The National Lung Screening Trial Screening for Lung Cancer -- Trial Design -- Trial Results -- Future Directions -- Target Population -- Screening Standardization -- Cost-Effectiveness -- Barriers to Screening -- Setting of Care -- Managing Screen-Detected Nodules (<10 mm) -- Solid Nodules -- Part-Solid Nodules -- Conclusion -- References -- 4: Assessment of the Solitary Pulmonary Nodule: An Overview -- Radiographic Evaluation -- Chest Radiograph -- Computed Tomography -- Calcification -- Morphology -- Volumetry -- Enhancement -- Small Nodules -- MRI -- 18F-FDG PET -- Summary -- References -- 5: Imaging in Non-small Cell Lung Cancer -- Chest Radiographs. CT, PET, and Histology -- NSCLC Staging -- T-Stage -- PET/CT and T-Staging System -- Prognosis by PET/CT -- N-Stage -- M-Stage -- Pleural Metastasis -- Adrenal Metastasis -- Liver Metastasis -- Bone Metastasis -- Brain Metastasis -- New Frontiers/Novel Imaging Techniques -- Perfusion CT -- Positron Agents -- Imaging Tumor Proliferation-18F- Fluorothymidime (FLT-PET) -- Imaging Tumor Hypoxia-18F- Fluoromisonidazole (F-MISO) -- Conclusion -- References -- 6: Preoperative Evaluation for Lung Cancer Resection -- Age -- Pulmonary Function Testing -- Forced Expiratory Volume in 1 s -- Diffusing Capacity for Carbon Monoxide -- Predicted Postoperative Lung Function -- Segment Method -- Radionuclide Scanning Techniques -- Quantitative Computed Tomography -- Cardiopulmonary Exercise Testing -- Stair Climbing -- Shuttle Walking -- Oxygen Desaturation -- Methods to Reduce Perioperative Risks and Long-Term Pulmonary Disability -- Lung Volume Reduction Surgery -- Smoking Cessation -- Pulmonary Rehabilitation -- Quality of Life Before and After Surgery -- Current Guidelines -- Summary -- References -- 7: Small Cell Carcinoma -- Staging -- Imaging of Small Cell Lung Cancer -- Imaging Chest and Abdomen -- Imaging of CNS in SCLC -- Imaging of Osseous Metastases -- FDG-PET/CT -- Staging -- Treatment Planning -- Prognosis -- Conclusion -- References -- 8: Invasive Staging of Non-small Cell Lung Cancer -- Surgical Techniques of Invasive Mediastinal Staging -- Cervical Mediastinoscopy -- Anterior Mediastinotomy -- Video-Assisted Thoracoscopic Surgery -- Minimally Invasive Techniques for Mediastinal Staging -- Transbronchial Needle Aspiration -- Transthoracic Needle Aspiration -- Esophageal Endoscopic Ultrasound- Guided Fine-Needle Aspiration -- Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration -- Combining EUS-FNA and EBUS-TBNA -- Comparing Technologies. Guidelines for Mediastinal Staging -- Conclusion -- References -- 9: Surgical Treatment for Non-small Cell Lung Cancer -- Historical Perspective -- Physiological Considerations: Surgeon's Perspective -- Surgical Resection of Non-small Cell Lung Cancer -- Pneumonectomy -- Technical Aspects -- Postoperative Management -- Sleeve Lobectomy -- Pulmonary Arterioplasty -- Lobectomy -- Video-Assisted Thoracic Surgery -- Mediastinal Lymph Node Dissection -- Sublobar Resection -- Chest Wall Resections -- Summary -- References -- 10: Radiofrequency Ablation of Primary Lung Cancer -- Patient Selection -- Procedural Technique -- Complications -- Follow-Up Imaging -- Outcomes -- Other Modalities -- The Future -- References -- 11: Systemic Therapy for Lung Cancer -- Non-small Cell Lung Cancer -- Advanced Disease -- Maintenance Therapy -- Salvage Therapy -- Elderly Patients or Patients with Poor Performance Status -- Locally Advanced Disease (Stage IIIA, Stage IIIB) -- Induction or Consolidation Therapy -- Early-Stage Lung Cancer -- Molecularly Targeted Agents -- Small Cell Lung Cancer -- Limited-Stage Disease -- Extensive-Stage Disease -- Prophylactic Cranial Irradiation -- Salvage Therapy -- Future Directions -- References -- 12: Radiotherapy in Lung Cancer -- Definitive Radiotherapy in Medically Inoperable NSCLC -- Stereotactic Body Radiotherapy -- Combined Modality Therapy -- Non-small Cell Lung Cancer -- Resectable NSCLC -- Unresectable NSCLC -- Small Cell Lung Cancer -- Limited Stage Small Cell Lung Cancer -- Extensive Stage SCLC -- Adjuvant Radiotherapy in NSCLC -- Palliative Radiotherapy -- Prophylactic Cranial Irradiation -- Toxicity of Radiation Therapy -- References -- 13: Imaging the Chest Following Radiation Therapy -- Predisposing Factors -- Pathology -- Clinical Features -- Imaging -- Radiation Pneumonitis and Fibrosis -- Other Complications. Pulmonary Necrosis -- Organizing Pneumonia -- Bronchial Stenosis -- Pleural Effusion -- Esophageal Injury -- Vascular Injury -- Second Primary Neoplasm -- Bones -- Heart and Pericardium -- Other Imaging Modalities -- Ventilation-Perfusion Scanning -- Magnetic Resonance Imaging -- FDG-PET -- Conclusion -- References -- 14: Imaging Following Treatment of Lung Cancer -- Follow-Up Imaging for Complications of Therapy -- Surgery -- Radiation and Chemotherapy -- Follow-Up Imaging for Surveillance and Recurrence -- Follow-Up Imaging Post Neoadjuvant Therapy -- Follow-Up Imaging for Treatment Response -- Conclusion -- References -- 15: Chemotherapy-Related Lung Injury -- Diffuse Alveolar Damage -- Nonspecific Interstitial Pneumonia -- Organizing Pneumonia -- Eosinophilic Pneumonia -- Pulmonary Hemorrhage -- Specific Drugs -- Platinum-Based Agents -- Alkylating Agents -- Taxanes -- Antimetabolites -- Topoisomerase Inhibitors -- Vinca Alkaloids -- Antibiotics -- Targeted Agents -- Summary -- References -- Index. This book provides a guide to the diagnosis, staging and overview of the management of lung cancer relevant to practicing radiologists so that they can better understand the decision making issues and provide more useful communication to treating physicians. 9781607616191 print version oai:cds.cern.ch:2278815 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1317576 ebook ebook EBL Diagnostic imaging EBL201708 Health Physics and Radiation Effects SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2278784 SzGeCERN 20180213020551.0 9783642342035 electronic version 9783642428678 electronic version EBL 1082782 eng G1-922 621.384 Krisp, Jukka M Progress in location-based services Berlin Springer 2014 502 p Lecture notes in geoinformation and cartography Progress in Location-BasedServices -- Preface -- Contents -- Reviewers -- Contributors -- IntroductionGoing Local-Evolution ofLocation-Based Services -- Location Matters: LBS 2030 -- Location-Based Services in 2030:From Sharing to Collective Action -- Part ISpatio-Temporal Data Acquisition,Processing, and Analysis -- 1 Extraction of Location-Based Emotions from Photo Platforms -- Abstract -- 1…Introduction -- 2…State-of-the-Art -- 2.1 Volunteered Geographic Information -- 2.2 Tagging -- 2.3 Emotions -- 2.4 Structuring Emotions -- 2.5 Acquisition of Emotions -- 2.6 Environmental Influence on Emotion and Behaviour -- 2.7 Expression of Emotions in Language -- 2.8 Sentiment and Affect Analysis -- 2.9 Existing Projects Combining Cartography and Emotions -- 3…Approach for an Emotional Analysis of Photo Metadata -- 4…Results -- 5…Discussion and Evaluation -- 6…Conclusion and Future Work -- References -- 2 Combining Float Car Data and Multispectral Satellite Images to Extract Road Features and Networks -- Abstract -- 1…Introduction -- 2…Integration of FCD with Multispectral RS Imagery -- 2.1 FCD Approaches -- 2.2 Geometric Registration of FCD and Multispectral RS Imagery -- 3…Local Cluster Detection from FCD -- 3.1 Fundamentals -- 3.2 Significance Test of L_{t} -- 4…Strategy to Construct a Spatial Road Network -- 5…Experiment and Case Study -- 5.1 The Structure of the Experiment -- 5.2 The Weight Matrix -- 5.3 Monte Carlo Simulation Process -- 5.4 Node Detection -- 5.5 Determination of Final Spatial Road Network -- 6…Conclusions -- Acknowledgments -- References -- 3 Space-Time Mapping of Mass Event Data -- Abstract -- 1…Introduction -- 2…Input Data and Applied Method -- 2.1 Input Data -- 2.2 Applied Method -- 3…Results -- 4…Conclusion -- References. 4 Analyzing Human Activities Through Volunteered Geographic Information: Using Flickr to Analyze Spatial and Temporal Pattern of Tourist Accommodation -- Abstract -- 1…Introduction -- 2…State of the Art -- 2.1 Human Activities Detection by Means of Flickr -- 2.2 Tourist Accommodation -- 3…Methodology -- 3.1 Kernel Density Estimation -- 3.2 Spatial Scan Statistic -- 4…Materials -- 4.1 Study Area -- 4.2 Data and Preprocessing -- 5…Results -- 6…Conclusions -- 5 A Platform for Location Based App Development for Citizen Science and Community Mapping -- Abstract -- 1…Introduction -- 2…Background -- 2.1 Citizen Science -- 2.2 Community Mapping -- 2.3 Bespoke Location-Based Apps for Citizen Science and Community Mapping -- 2.4 Location-Based App Development Platforms for Non-Technical Users -- 3…Requirements for Location-Based Citizen Science and Community Mapping Apps -- 3.1 Noise Measurement -- 3.2 Monitoring of Illegal Logging and Poaching by Non-Literate Users -- 3.3 Perception Mapping -- 4…The Resulting Platform -- 5…Discussion -- 6…Conclusion -- Acknowledgments -- References -- 6 A Framework for On-line Detection of Custom Group Movement Patterns -- Abstract -- 1…Introduction -- 2…Related Work -- 3…Group Movement Pattern Definition and Detection -- 3.1 Characterization of Input Data -- 3.2 Problem Statement -- 3.3 Group Definition -- 4…Base Relation Properties and Group Candidate Calculation Step -- 4.1 Group Candidate Refinement by Back-Tracking -- 5…Experiment Setup -- 5.1 Data Characterization -- 5.2 Experiment on Group Candidate Calculation -- 5.3 Experiment on Group Candidate Refinement -- 5.4 Discussion of Results -- 6…Conclusion -- Acknowledgments -- References -- 7 Mining Event-Related Knowledge from OpenStreetMap -- Abstract -- 1…Introduction -- 2…Even Detection -- 3…Methodology -- 3.1 Case Studies -- 3.2 Experiments. 4…Results and Discussions -- 4.1 Stoppelmarkt in Vechta -- 4.2 Oktoberfest -- 4.3 Closure of Freeway 405 in Los Angeles -- 4.4 Sendai Tsunami -- 5…Conclusion and Further Work -- Acknowledgments -- Part IIPositioning/Indoor Positioning -- 8 Evaluation of Bluetooth Properties for Indoor Localisation -- Abstract -- 1…Introduction -- 2…Localisation with the Wireless Signal -- 2.1 Fine-Grained Tracking and Coarse-Grained Tracking -- 2.2 A comparison of Bluetooth and Wireless LAN -- 3…Properties of Bluetooth Signal at a Static Position -- 3.1 The Distribution of Bluetooth Signal -- 3.2 The Antenna Orientation of the Bluetooth Device -- 3.3 The Variation of the Bluetooth Signal upon Distance -- 3.3.1 Small Scale Variation -- 3.3.2 Large Scale Variation -- 3.3.3 Moving Horizontally and Parallel to the Floor -- 3.3.4 Moving Vertically and Perpendicularly to the Floor -- 4…Properties of Bluetooth Signal on a Mobile User -- 5…External Influences upon the Bluetooth Signals -- 5.1 Influence from the Human Body -- 5.2 Influence Amongst the Bluetooth Signals -- 5.2.1 The Correlation of the Bluetooth RSSI at the Same Station -- 5.2.2 The Correlation of the Bluetooth Signal at Different Stations -- 5.3 Influence from Other Wireless Sources -- 6…A Bluetooth-Based Location Fingerprinting System -- 6.1 Data Collection -- 6.1.1 Testbed 1 -- 6.1.2 Testbed 2 -- 6.1.3 Automated Robot -- 6.2 System Evaluation -- 6.2.1 Weighted K-Nearest Neighbours -- 6.2.2 Naive Bayesian Approach -- 6.2.3 Histogram Matching -- 6.2.4 Performance Summary -- 7…Conclusions and Further Work -- Acknowledgments -- References -- 9 Pedestrian Indoor Localization Using Foot Mounted Inertial Sensors in Combination with a Magnetometer, a Barometer and RFID -- Abstract -- 1…Introduction -- 2…Related Work -- 3…Algorithm Description -- 3.1 Recursive Bayesian Estimation and the Unscented Kalman Filter. 3.2 Process Model: INS Strapdown Integration -- 3.3 Measurement Models -- 3.4 Zero Velocity Updates -- 3.5 Additional Sensors -- 4…Hardware Setup -- 5…Results -- 6…Conclusions and Future Work -- References -- 10 Quantitative and Spatial Evaluation of Distance-Based Localization Algorithms -- Abstract -- 1…Introduction -- 2…Related Work -- 3…Localization Algorithms -- 4…Simulation -- 4.1 Quantitative Evaluation -- 4.2 Spatial Evaluation -- 5…Experimental Results -- 6…Conclusion -- References -- 11 Using the Magnetic Field for Indoor Localisation on a Mobile Phone -- Abstract -- 1…Introduction -- 1.1 Localisation Systems -- 1.2 Scope of the Work -- 2…Particle Filter -- 2.1 Motion Model -- 2.2 Measurement Model -- 2.3 Resampling -- 2.4 State Prediction -- 3…Tests -- 3.1 Environment -- 3.2 Simulation of the Localisation -- 3.3 Wall Aspect -- 3.4 Direction -- 3.5 Vector Similarity Functions -- 3.6 Used Sensors -- 3.7 Number of Particles -- 3.8 Best Algorithm Configuration -- 3.9 Comparison to Other Systems -- 4…Conclusion and Further Work -- Acknowledgments -- References -- Part IIIWayfinding/Navigation (Indoor/Outdoor)and Smart Mobile Phone Navigation andLBS Technologies -- 12 Indoor Route Planning with Volunteered Geographic Information on a (Mobile) Web-Based Platform -- Abstract -- 1…Introduction -- 2…Related Work -- 3…Collaborative Mapping of (Indoor) Spatial Information with OpenStreetMap -- 4…Generating and Providing Indoor Information -- 4.1 The Indoor Routing Service -- 4.2 Preprocessing -- 5…Consuming Indoor Information -- 5.1 A Priori Route Planning on Personal Computers -- 5.2 On-Demand Route Planning on Mobile Devices -- 6…Conclusion and Future Work -- Acknowledgments -- References -- 13 Indoor and Outdoor Mobile Navigation by Using a Combination of Floor Plans and Street Maps -- Abstract -- 1…Introduction -- 1.1 Positioning Technology. 1.2 Existing Indoor Navigation Applications -- 2…Materials and Methods -- 2.1 Prototype Development -- 2.2 Map Generation and Presentation -- 2.3 Data Presentation -- 2.4 Floor Plan Overlay on Top of Background Map -- 2.5 Route Planning -- 3…The Application -- 3.1 User Interface -- 3.2 The Map Screen -- 3.3 The Calendar Screen -- 3.4 Positioning -- 4…Discussion -- 4.1 Positioning -- 4.2 Indoor Route Planning -- 5…Future Work -- References -- 14 Augmented Maps with Route Sketches -- Abstract -- 1…Introduction -- 2…Route Sketch Maps -- 3…Augmented Route Sketch Maps -- 4…Evaluation -- 4.1 Route Representation -- 4.2 Route Interpretation -- 5…Representation Conversion -- 6…Conclusions -- Acknowledgments -- References -- 15 High Precision 3D Indoor Routing on Reduced Visibility Graphs -- Abstract -- 1…Introduction -- 1.1 Contribution -- 2…Description of Indoor Environments -- 3…Construction of a Graph -- 4…Shortest Paths with Customized A* -- 4.1 Customized A* -- 4.2 Experiments -- 5…Conclusion -- Acknowledgments -- References -- 16 Travel-Mode Classification for Optimizing Vehicular Travel Route Planning -- Abstract -- 1…Introduction -- 2…Related Work -- 3…Segmentation and Classification Methodology -- 3.1 Data Collection -- 3.2 Data Pre-Processing -- 3.3 Traces Segmentation -- 3.4 Segments Travel-Mode Identification -- 3.5 Sub-Traces Construction: Linkage of Travel-Modes -- 3.6 SVM Classification -- 4…Travel Route Plan Optimization -- 4.1 Extracting Parking Locations -- 4.2 Identifying Destination -- 5…Experimental Results -- 5.1 Classification -- 5.2 Identifying Parking Lots and Entrances -- 6…Conclusions and Discussion -- References -- 17 Taxonomy of Navigation for First Responders -- Abstract -- 1…Introduction -- 2…Taxonomy of Navigation with Obstacles -- 3…Navigation Cases with Static Obstacles. 3.1 One Moving Object has to be Routed to One Static Destination, Avoiding Many Static Obstacles \left\langle {o,\,O,\,S,\,s} \right\rangle. This book reviews current trends and offers guidance for further research, from a common ground bringing together disciplines and practice, knowledge, experiences, plans and ideas for improving LBS and how it will influence both science and society. 9783642428678 print version oai:cds.cern.ch:2278784 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1082782 ebook ebook EBL Location-based services EBL Mobile geographic information systems EBL201708 Engineering SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2278772 SzGeCERN 20180120020729.0 9781447142737 electronic version 9781447158899 electronic version EBL 1030522 eng TA1-2040 621.4025 Lee, Kun Sang Underground thermal energy storage London Springer 2014 157 p Green energy and technology Underground Thermal Energy Storage -- Contents -- Nomenclature -- 1 Introduction -- 1.1…Energy Storage -- 1.1.1 Energy Demand -- 1.1.2 Energy Storage Methods -- 1.1.3 Energy Storage History -- 1.1.4 Thermal Energy Storage -- 1.1.4.1 Introduction -- 1.1.4.2 Thermal Energy -- 1.1.4.3 Classification -- 1.1.5 Various Aspects of TES -- 1.1.5.1 Economic Aspects -- 1.1.5.2 Environmental Aspects -- 1.1.5.3 Sustainability Aspects -- References -- 2 Underground Thermal Energy Storage -- 2.1…Introduction -- 2.1.1 Ground Temperature -- 2.1.2 Historical Development -- 2.1.3 Advantages -- 2.2…Classification -- 2.2.1 Storage Temperature -- 2.2.2 Storage Technology -- 2.3…Characteristics of Underground Storage Systems -- 2.3.1 Efficiency Benefits -- 2.3.2 Availability -- 2.3.3 Potential Applications Sectors -- 2.3.4 Temperature Levels -- 2.3.5 Humidity Aspects -- 2.3.6 Load Coverage -- 2.4…Advantages and Limitations of Underground Storage Systems -- 2.4.1 Advantages -- 2.4.2 Limitations -- References -- 3 Basic Theory and Ground Properties -- 3.1…Basic Physical Mechanism -- 3.1.1 Hydrological Flow in the Aquifer -- 3.1.2 Hydrological Flow in Borehole -- 3.1.3 Heat Transfer Mechanism -- 3.1.3.1 Heat Transfer in the Aquifer -- 3.1.3.2 Heat Transfer in the Borehole -- 3.1.3.3 Convective Heat Transfer in the Borehole -- 3.2…Hydrogeological Conditions -- 3.2.1 Aquifer Systems -- 3.2.2 Borehole Systems -- 3.3…Determination of Hydrogeological Properties -- 3.3.1 Step-Drawdown Tests -- 3.3.2 Well Flow Equations -- 3.3.3 Anisotropy Test -- 3.3.4 Dispersivity Testing -- 3.4…Determination of Thermal Properties -- 3.4.1 Development of Thermal Response Test -- 3.4.2 Operation of the Test -- 3.4.3 Test Evaluation -- 3.4.3.1 Slope Determination Technique -- 3.4.3.2 Two-Variable Parameter Fitting Method -- 3.4.3.3 Geothermal Properties Measurement. 3.4.4 Limitations of Thermal Response Test -- 3.5…Construction Costs -- References -- 4 Aquifer Thermal Energy Storage -- 4.1…Definition -- 4.2…Types of ATES -- 4.2.1 Operation -- 4.2.2 Form of Energy -- 4.3…Aquifer and Groundwater -- 4.3.1 Aquifer -- 4.3.2 Aquifer Properties -- 4.3.2.1 Geology and Aquifer Thickness -- 4.3.2.2 Hydraulic Properties and Groundwater Flow -- 4.3.2.3 Thermal Properties and Ground Temperature Field -- 4.3.2.4 Groundwater Chemistry -- 4.3.3 Aquifer Characterization -- 4.3.4 Groundwater Chemistry -- 4.4…Problems of Aquifer Thermal Energy Storages -- 4.4.1 Clogging -- 4.4.2 Corrosion -- 4.4.3 Other Problems -- 4.5…Construction of ATES -- 4.5.1 Design Steps and Permit Procedure -- 4.5.2 Elements of System Design -- 4.5.3 Field Investigations -- 4.5.4 Model Simulations -- 4.6…History and Current Status -- 4.6.1 Belgium -- 4.6.2 Norway -- 4.6.3 Sweden -- 4.6.4 Germany -- 4.6.5 The Netherlands -- 4.6.6 Canada -- 4.6.7 Denmark -- 4.6.8 United Kingdom -- 4.6.9 China -- 4.6.10 Turkey -- References -- 5 Borehole Thermal Energy Storage -- 5.1…Definition -- 5.1.1 The Collector -- 5.1.2 Borehole Filling -- 5.2…Applications -- 5.3…Market Opportunities and Barriers -- 5.4…Analysis of Ground Thermal Behavior -- 5.4.1 Heat conduction Outside Borehole -- 5.4.1.1 Line-Source Model -- 5.4.1.2 Cylinder Source Model -- 5.4.1.3 Eskilson's Model -- 5.4.1.4 Hellström's model -- 5.4.1.5 Gu's Model -- 5.4.1.6 Yavuzturk's Model -- 5.4.1.7 Zeng's Model -- 5.4.2 Heat Transfer Inside Borehole -- 5.4.2.1 One-Dimensional Model -- 5.4.2.2 Two-Dimensional Model -- 5.4.2.3 Quasi-Three-Dimensional Model -- 5.5…Current Status -- 5.5.1 Sweden -- 5.5.2 Canada -- 5.5.3 Belgium -- 5.5.4 Germany -- 5.5.5 Switzerland -- 5.5.6 Norway -- 6 Cavern Thermal Energy Storage Systems -- 6.1…Introduction -- 6.2…Analysis -- 6.3…Current Status -- References. 7 Standing Column Well -- 7.1…Definition -- 7.2…Operation -- 7.3…Applications -- 7.4…Current Status -- 7.4.1 United States -- 7.4.2 China -- 7.4.3 Korea -- References -- 8 Modeling -- 8.1…General Aspects of Modeling -- 8.2…Theoretical Background -- 8.2.1 Groundwater Hydraulics -- 8.2.2 Hydraulics in Pipes -- 8.2.3 Heat Transfer -- 8.2.3.1 Heat Transport in the Ground -- 8.2.3.2 Heat Transport in Pipes -- 8.3…Numerical Models -- 8.3.1 Numerical Model THETA -- 8.3.2 Numerical Model SUTRA -- 8.3.3 Other Numerical Models -- References. Summarizing several decades of development in UTES-strategically vital in combating global warming-this book, which includes current statistics and real-world applications, forms an excellent introduction to this widely used method of energy conservation. 9781447158899 print version oai:cds.cern.ch:2278772 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1030522 ebook ebook EBL201708 Engineering SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2278744 SzGeCERN 20210421210659.0 9783642280559 electronic version electronic version 9783642280559 print version 9783642280566 electronic version electronic version oai:cds.cern.ch:2278744 cerncds:BOOK EBL 973285 eng GE1-350 519.22 Bieda, Bogusław Stochastic analysis in production process and ecology under uncertainty Berlin Springer 2014 181 p ebook Stochastic Analysis in Production Process and Ecology Under Uncertainty -- Summary -- Introduction -- Contents -- List of Main Symbols -- Chapter 1: Introduction to Monte Carlo (MC) Method: Random Variables in Stochastic Models -- Chapter 2: Stochastic Model of the Diffusion of Pollutants in Landfill Management Using Monte Carlo Simulation -- 2.1 Introduction -- 2.2 Aim and Scope of the Project -- 2.2.1 Constructing the Model: Defining Input Data -- 2.3 Activating the Model: Simulation -- 2.4 The Results of the Simulation -- 2.4.1 Sensitivity Analysis -- 2.5 The Results -- 2.6 Summary and Conclusion -- Chapter 3: The Role of Risk Assessment in Investment Costs Management, Based on the Example of Waste Treatment (Gasification) Facility in the City of Konin -- 3.1 Introduction -- 3.2 Risk in Waste Management (Environmental Protection) in European Union and International Legislation -- 3.3 The Application of MC Simulation, Using Simlab Software, in the Analysis of Investment Risk: Probabilistic Cost Model of the Construction Project of the Waste Treatment Facility in the City of Konin -- 3.4 Developing the Model -- 3.5 Defining Input Data: Organising the Simulation -- 3.6 Activating the Model: The Results of the Simulation -- 3.7 Summary and Conclusion -- Chapter 4: Stochastic Analysis of the Environmental Impact of Energy Production Processes, Based on the Example of MSP Power Plant -- 4.1 Introduction -- 4.2 Origin and Development of the LCA Method -- 4.3 Defining the LCA Method -- 4.4 Uncertainty and Random Variables in LCA Research -- 4.5 Types of Random Variables in Uncertainty Analysis in LCA Studies -- 4.6 Life Cycle Assessment of the Impact on Natural Environment of Energy Generation Processes in MSP S.A., Unit in Kraków, Poland -- 4.6.1 Aim and Scope of the Project. 4.7 Description of Energy Generation Processes in MSP S.A., Unit in Kraków, Poland -- 4.8 Description of the Functional Unit of the Boundary System of the Performed Analysis: Inventory Analysis -- 4.9 The Life Cycle Impact Assessment LCA -- 4.10 Stochastic Analysis of the Environmental Impact of the Four Scenarios of Energy Generation Processes in MSP Power Plant -- 4.11 Defining Input Data: Organising the Simulation -- 4.12 The Results of the Simulation -- 4.13 Sensitivity Analysis -- 4.13.1 Tornado Chart -- 4.13.2 Spider Chart -- 4.14 Summary and Conclusion -- Chapter 5: Stochastic Analysis, Using Monte Carlo (MC) Simulation, of the Life Cycle Management of Waste, from an Annual Perspective, Generated by MSP -- 5.1 Introduction -- 5.2 Characterisation of Waste Management in the Discussed Facilities -- 5.2.1 The Coke Production Facility: Coke Plant -- 5.2.2 The Ore Sintering Facility: Sintering Plant -- 5.2.3 The Pig Iron Melting Facility: Blast Furnaces -- 5.2.4 The Steel Melting Facility: Converter Plant -- 5.2.5 The Continuous Steel Casting Facility: CSC -- 5.2.6 The Facility for Hot Rolling of Ferrous Metals: Hot Strip Mill -- 5.2.7 The Fuel Combustion Facility: Thermal-Electric Power Station (Power Plant) -- 5.3 Aim and Scope of the Analysis -- 5.4 Waste Management Balance, Analysis Assumptions -- 5.5 The Life Cycle Impact Assessment: Interpretation -- 5.6 The Analysis of the Results -- 5.7 Stochastic Analysis as an Uncertainty Calculation Tool in the LCA Study -- 5.8 The Results of the Simulation -- 5.9 Sensitivity Analysis -- 5.10 The Results of the Simulation -- 5.11 Sensitivity Analysis -- 5.12 Summary and Conclusion -- Chapter 6: Summary -- 6.1 General Conclusion -- Bibliography. The monograph addresses a problem of stochastic analysis based on the uncertainty assessment by simulation and application of this method in ecology and steel industry under uncertainty. The first chapter defines the Monte Carlo (MC) method and random variables in stochastic models. Chapter two deals with the contamination transport in porous media. Stochastic approach for Municipal Solid Waste transit time contaminants modeling using MC simulation has been worked out. The third chapter describes the risk analysis of the waste to energy facility proposal for Konin city, including the financial aspects. Environmental impact assessment of the ArcelorMittal Steel Power Plant, in Kraków - in the chapter four - is given. Thus, four scenarios of the energy mix production processes were studied. Chapter five contains examples of using ecological Life Cycle Assessment (LCA) - a relatively new method of environmental impact assessment - which help in preparing pro-ecological strategy, and which can lead to reducing the amount of wastes produced in the ArcelorMittal Steel Plant production processes. Moreover, real input and output data of selected processes under uncertainty, mainly used in the LCA technique, have been examined. The last chapter of this monograph contains final summary. The log-normal probability distribution, widely used in risk analysis and environmental management, in order to develop a stochastic analysis of the LCA, as well as uniform distribution for stochastic approach of pollution transport in porous media has been proposed. The distributions employed in this monograph are assembled from site-specific data, data existing in the most current literature, and professional judgment. EBL201708 Mathematical Physics and Mathematics SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_973285 ebook n 201732 201708 21 PUBLIC https://catalogue.library.cern/legacy/2278744 BOOK MIGRATED 2278740 SzGeCERN 20210421210659.0 9789400704053 electronic version electronic version 9789400704053 print version 9789400704060 electronic version electronic version oai:cds.cern.ch:2278740 cerncds:BOOK EBL 971964 eng GB3-5030 531.14 Mallick, K Bouguer gravity regional and residual separation application to geology and environment Dordrecht Springer 2012 300 p ebook Bouguer Gravity Regional and Residual Separation: Application to Geology and Environment -- Foreword -- Preface -- Contents -- 1: Introduction -- Gravity Method -- Gravity Measurements -- Corrections to Gravity Data -- Interpretation of Gravity Data -- 2: Regional and Residual Gravity Anomalies: The Existing Issues -- Graphical Method -- Analytical Methods -- Frequency-domain Computations -- Possible Drawbacks in Regional Computation -- 3: New Computational Schemes -- FINITE ELEMENT APPROACH -- THEORY -- Eight-node Quadratic Isoparametric Element -- Regional Gravity Field -- ACCURACY -- Synthetic Model -- Nevada Batholith, Yosemite National Park -- COMPUTATIONAL PROCEDURE -- COMPARISON WITH OTHER EXISTING TECHNIQUES Example of Northwestern Ontario, Canada -- 4: Applications to Geological and Environmental Problems: Hydrocarbon -- BOUGUER GRAVITY ANOMALIES OF PARADOX BASIN, UTAH, USA -- Study Area -- Residual Gravity Anomalies -- INNER MORAY FIRTH BASIN, NORTH SEA -- Geology of Inner Moray Firth Basin -- Bouguer Gravity Map -- Hydrocarbon Prospects in India -- MAHANADI BASIN, ORISSA, INDIA -- Geology of the Mahanadi Basin -- Previous Geophysical Studies -- Gravity Anomalies -- Regional Gravity Field -- Residual Gravity Field -- Modelling of Residual Gravity Field -- Basement Structure -- The Presence of Basic Body -- Basement Geometry by Modelling the Residual Gravity Anomaly -- Comparison of DSS and Bouguer Gravity Profiles -- KALADGI-BADAMI BASIN, KARNATAKA- MAHARASTRA, INDIA -- Geology of Kaladgi-Badami Basin -- Bouguer Gravity Anomaly -- Stripping off the Gravity Effect of Deccan Trap from Bouguer Gravity Field -- Regional and Residual Gravity Anomalies -- 3-D Modelling of Residual Gravity Anomalies -- 5: Applications to Geological and Environmental Problems: Minerals -- KIMBERLITE PIPES -- Kimberlite and Lamproite Fields of Andhra Pradesh. Wajrakarur Kimberlite Field (WKF) -- Krishna River Gravels -- Cuddapah-Kurnool Diamond Field -- Narayanpet Kimberlite Field (NKF) -- GRAVITY AND MAGNETIC STUDIES OVER WAJRAKARUR KIMBERLITE FIELD -- Geology of Wajrakarur-Lattavaram Region -- Bouguer Gravity Anomaly -- Regional Gravity Anomaly -- Residual Gravity Anomaly -- Residual Vertical Magnetic Anomalies -- GRAVITY STUDIES OVER NARAYANAPET KIMBERLITE FIELD (NKF) -- Geology of Narayanpet Kimberlite Field (NKF) Region -- Tectonics of NKF and Adjoining Regions -- Bouguer Gravity Anomalies -- Regional Gravity Anomalies -- Structural Trend from Regional Gravity Map -- Residual Gravity Anomalies -- Modelling of Residual Gravity Field along Profile DD -- GRAVITY STUDIES OVER CUDDAPAH DIAMOND FIELD -- Geology of the Cuddapah Basin -- Tectonics of the Cuddapah Basin -- Geophysical Studies -- Bouguer Gravity Anomaly -- Regional Gravity Anomaly -- Residual Gravity Anomaly -- Modelling of Residual Gravity Field -- Occurrence Pattern of Kimberlites/Lamproites -- CHROMITE -- Chromite Deposits in Camague Province, Cuba -- Location and Geology -- Gravity Survey -- FEA Residual Anomaly Map -- Ore Estimation -- CHROMITE DEPOSITS IN ORISSA, INDIA -- Location and Geology -- Chromite Ore -- Gravity Field Operations -- GOLD DEPOSITS IN CHOCOLATE MOUNTAINS, CALIFORNIA AND ARIZONA -- Mesquite Mine - Its Geology and Structural Framework -- Bouguer Gravity Map -- FEA Regional and Residual Gravity Maps -- SULPHUR DEPOSITS IN WEST TEXAS, USA -- Geophysical Exploration -- Gravity Map -- Regional and Residual Map -- 6: Gravity Method in Structural Studies -- THE GANGETIC PLAINS -- Study Areas -- Northwest Ganga Basin -- Geology -- Bouguer Gravity Map -- Regional Gravity Anomaly -- Residual Gravity Map -- Tectonic Implications of the Gravity Anomalies -- CAUVERY BASIN -- Geology -- Fault Patterns -- Radial Faults. Circular Feature -- Bathymetry -- Geophysical Investigations -- Gravity Studies -- Regional Gravity Anomaly -- Residual Gravity Anomaly -- OFFSHORE MAGNETIC ANOMALIES -- Regional Magnetic Map -- Magnetic Regional and Sub-canyon Structure -- Residual Magnetic Map -- LIQUEFACTION ZONE IN BIHAR-NEPAL REGION -- Processes of Liquefaction -- Location of Bihar-Nepal Liquefaction Zone -- 7: Isostatic Studies and Vertical Crustal Movements -- ISOSTASY -- Discovery of Isostasy -- Airy Model -- Pratt's Hypothesis -- Vening Meinesz Elastic Plate Model -- Isostatic Anomaly -- GRAVITY ANOMALIES OF CALIFORNIA, US -- Klamath Mountains and Cascade Range -- Gorda Plate -- Sierra Nevada Batholith -- VERTICAL CRUSTAL MOVEMENTS -- Isostatic and Vertical Crustal Movements in Swiss Alps -- Isostatic Anomaly -- Vertical Crustal Movements in Switzerland -- FEA Isostatic Anomaly -- Comparison of Isostatic Gravity Anoamlies vis-a-vis Vertical Crustal Movements -- Crustal Movements and Seismic Activities in Western Swiss Alps -- Vertical Crustal Movements in Lesser Himalaya -- The Lesser Himalayas -- Bouguer Gravity Anomalies -- Regional Gravity Anomaly -- Residual Gravity Anomaly -- Vertical Crustal Movements in the Himalayan Region -- 8: Earthquake Studies and Engineering Applications -- GRAVITY FIELD OF NW HIMALAYA -- Distribution of Earthquakes in the Himalaya -- Unique Features of Large Earthquakes -- Bouguer Gravity Anomailes -- Computation of Regional Field -- Residual Gravity Map -- Aftershocks Patterns -- GRAVITY ANOMALIES IN NEPAL HIMALAYAS -- Gravity Field of the Shillong Plateau -- Geology of Shillong Plateau -- Bouguer Gravity -- Isostatic Anomalies -- Regional Gravity Anomalies -- Residual Gravity Anomalies -- GRAVITY FIELD OF NEVADA TEST SITE OF US -- 9: Gravity Studies on Impact Structures -- GRAVITY FIELD OF MANICOUGAN CRATER -- Geological Setting. Bouguer Gravity Anomaly -- Computation of Regional and Residual Gravity Anomalies -- Modelling -- Computation of Mass of the Crater -- GRAVITY FIELD OF SUDBURY CRATER -- Geology of the Study Area -- Bouguer Gravity Anomaly -- Regional-Residual Separation -- Graphical Smoothing Approach -- Finite Element Approach -- Residual Gravity Profile along GG -- Modelling of the Residual Gravity along the Profile GG -- Fortran Program for Regional-Residual Separation by Finite Element Method -- C++ Program for Regional-Residual Separation by Finite Element Method -- References -- Index. Resolving regional and residual components arising out of deeper and shallower sources in observed Bouguer gravity anomalies is an old problem. The technique covered here is an attempt to sort out the difficulties that performs better than existing methods. EBL201708 General Theoretical Physics SzGeCERN EBL Geophysics BOOK Vasanthi, A Sharma, KK https://cds.cern.ch/auth.py?r=EBLIB_P_971964 ebook n 201732 201708 21 PUBLIC https://catalogue.library.cern/legacy/2278740 BOOK MIGRATED 2278726 SzGeCERN 20210421210702.0 9780123808585 electronic version electronic version 9780123808585 print version 9780123808592 electronic version electronic version oai:cds.cern.ch:2278726 cerncds:BOOK EBL 858621 eng QH430 -- .A34 2011eb 519.5 Huber, Robert Aggression San Diego, CA Elsevier Science 2011 307 p ebook Advances in genetics 75 Front Cover -- Aggression -- Copyright -- Contents -- Contributors -- Chapter 1: Aggression -- Chapter 2: Evolutionary Aspects of Aggression: The Importance of Sexual Selection -- I. Introduction -- II. Sexual Selection -- III. Mating Systems -- IV. When to Fight and When to Flee -- V. Case Studies: Sexual Dimorphism -- VI. Humans and the Mammalian Pattern -- Acknowledgment -- References -- Chapter 3: Signaling Aggression -- I. Introduction -- A. An ethological approach to aggression -- B. The classic game theory model -- C. Signaling games -- D. Threat displays and why they are part of aggression -- E. Evolutionary issues -- F. The challenge of "incomplete honesty" -- G. Case studies in aggressive signaling -- II. Bird Song Signals Aggressive Intentions: Speak Softly and Carry a Big Stick -- III. Visual Displays Signal Aggressive Intent in Cephalopods: The Sweet Smell of Success -- A. Cuttlefish agonistic bouts -- B. Squid agonistic bouts -- C. From molecules to aggression: Contact pheromone triggers strong aggression in squid -- D. Signaling aggression in humans -- Acknowledgments -- References -- Chapter 4: Self-Structuring Properties of Dominance Hierarchies... -- I. Introduction -- II. Definitions -- A. Dominance relationships -- B. Dominance hierarchies -- III. Animal Models -- A. Chickens -- B. Fish -- C. Crustaceans -- D. Primates -- IV. Factors Affecting Dominance Relationships in Pairs of Animals -- A. Physical differences -- 1. Behavioral profile or personality -- B. Physiology -- C. Genetics -- D. Behavioral states: Winner, loser and bystander effects -- V. Formation of Dominance Relationships and Dominance Hierarchies in Groups -- A. Differences in individual attributes and hierarchy formation -- B. Influence of social factors on linear hierarchy formation. VI. A New Approach to Explaining the Formation of Linear Hierarchies: Behavioral Processes -- A. Modifications of the jigsaw puzzle model -- B. Experimental evidence concerning animal cognitive abilities and processes of interaction -- VII. Conclusion -- Acknowledgments -- References -- Chapter 5: Neurogenomic Mechanisms of Aggression in Songbirds -- I. Aggression in Context -- II. Hormonal Mechanisms of Aggression -- A. Territoriality in the breeding season -- B. Hormones and territoriality -- C. Aggression outside the breeding season -- 1. Aggression in flocks -- 2. Territoriality in the nonbreeding season -- D. Evolution of aggression and life history strategies -- III. Transcriptional Activity and Neural Mechanisms of Aggression in Birds -- A. Transcriptional traces of aggression reveal ubiquitous vertebrate themes -- B. Neurochemistry and major modulators -- IV. A Natural Model Uniting Social Behavior, Hormones, and Genetics -- A. The white-throated sparrow -- B. Endocrine and neuroendocrine correlates of behavioral polymorphism -- C. Causality and "phenotypic engineering" -- D. Mapping the ZAL2m -- V. Future Directions -- Acknowledgments -- References -- Chapter 6: Genetics of Aggression in Voles -- I. Introduction -- II. The Prairie Vole Model -- III. Neural Correlates -- IV. Neural Circuitry -- V. Neurochemical Regulation of Selective Aggression -- A. Neuropeptides -- B. Dopamine -- C. Steroid hormones -- D. Classical neurotransmitters -- VI. Molecular Genetics of Selective Aggression -- VII. Drug-induced Aggression -- VIII. Conclusions and Future Directions -- Acknowledgments -- References -- Chapter 7: The Neurochemistry of Human Aggression -- I. Introduction -- II. Serotonin -- III. Dopamine -- IV. Norepinephrine (Noradrenaline) -- V. GABA -- VI. Peptides -- VII. Conclusion -- References. Chapter 8: Human Aggression Across the Lifespan... -- I. Heritability of Aggression: Twin and Adoption Studies -- A. Does heritability vary depending on sex? -- B. Does heritability change across age? -- C. Do heritabilities vary across methods of assessment? -- D. Do heritabilities vary across forms of aggression? -- E. Does heritability vary depending on study design (twins vs. adopted siblings)? -- F. Criticisms of twin and adoption studies: Assumptions and generalizability -- II. G x E Interaction in Aggressive Behavior -- A. Potential moderators of genetic influence found in adoption and twin studies -- 1. Family adversity and social disadvantage -- 2. Violent media exposure -- 3. Alcohol use -- III. Specific Genes for Aggressive Behavior: Findings from Molecular Genetic Studies -- A. G x E interaction involving specific genes for aggressive behavior -- IV. Conclusions -- References -- Chapter 9: Perinatal Risk Factors in the Development of Aggression and Violence -- I. Introduction -- II. The Neurobiological and Psychophysiological Systems Involved in the Regulation of Aggression and Violence -- A. Types of aggressive behavior -- B. Neurobiological bases of aggression and violence -- 1. Amygdala -- 2. Anterior cingulate cortex -- 3. Prefrontal cortex -- 4. Hypothalamus -- C. Neurochemical signals of aggression and violence -- 1. Neurotransmitters-serotonin -- 2. Neurotransmitters-dopamine -- 3. Neurotransmitters-norepinephrine -- D. Hormones -- 1. Testosterone -- 2. Cortisol -- 3. Oxytocin -- E. Autonomic response measures -- 1. Heart rate and electrodermal activity -- F. Electro cortical response measures -- III. Perinatal Factors Related to the Development of Aggression -- A. Birth complications -- B. Preterm birth and low birth weight -- C. Prenatal drug and alcohol exposure -- 1. Alcohol -- 2. Drugs -- D. Smoking. E. Maternal psychological stress -- F. Environmental context -- IV. Genetic Contributions -- A. Genetic factors as explanatory -- B. Gene by environment (G x E) interactions -- 1. Monoamine oxidase genotype -- 2. Genes related to dopaminergic function -- 3. Catechol O-methyltransferase -- C. The role of epigenetics -- V. Conclusions -- References -- Chapter 10: Neurocriminology -- I. Introduction -- II. Psychodynamic Theories -- III. Neuroimaging -- A. Structural imaging studies -- B. Functional imaging studies -- IV. Neuropsychological Testing -- V. Psychophysiological Evidence -- A. Electrocortical measures -- 1. Electroencephalogram (EEG) -- 2. Event-related potentials (ERPs) -- 3. Low resting heart rate -- 4. Skin conductance -- VI. Genetics -- A. Twin studies -- B. Adoption studies -- C. Molecular genetics -- D. ACE model -- E. Gene-environment interaction -- VII. Nongenetic Risk Factors -- A. Prenatal -- 1. Minor physical anomalies (MPAs) -- 2. Tobacco -- 3. Alcohol -- B. Perinatal risk factors -- C. Postnatal -- 1. Traumatic brain injury (TBI) -- VIII. The Limitations and Potential of Neurocriminology -- IX. Modifiable Risk Factor Interventions -- X. Conclusion -- References -- Index -- Colour Plate. Genes interact with the environment, experience, and biology of the brain to shape an animal's behavior. This latest volume in Advances in Genetics, organized according to the most widely used model organisms, describes the latest genetic discoveries in relation to neural circuit development and activity. Explores the latest topics in neural circuits and behavior research in zebrafish, drosophila, C.elegans, and mouse models Includes methods for testing with ethical, legal, and social implications Critically analyzes future prospects. EBL201708 Mathematical Physics and Mathematics SzGeCERN EBL Aggressiveness BOOK Bannasch, Danika L Brennan, Patricia https://cds.cern.ch/auth.py?r=EBLIB_P_858621 ebook n 201732 21 PUBLIC https://catalogue.library.cern/legacy/2278726 BOOK MIGRATED 2278724 SzGeCERN 20210421210702.0 9781441961501 electronic version electronic version 9781441961501 print version 9781441961518 electronic version electronic version oai:cds.cern.ch:2278724 cerncds:BOOK EBL 798551 eng HF4999.2-6182 519.72 Cooper, William W Handbook on data envelopment analysis 2nd ed. Boston, MA Springer 2011 512 p ebook International series in operations research & management science 164 Handbook on Data Envelopment Analysis -- Preface -- About the Authors -- Contents -- Contributors -- Chapter 1: Data Envelopment Analysis: History, Models, and Interpretations* -- 1.1 Introduction -- 1.2 Background and History -- 1.3 CCR Model -- 1.4 Extensions to the CCR Model -- 1.4.1 Nondiscretionary Inputs and Outputs -- 1.4.2 Categorical Inputs and Outputs -- 1.4.3 Incorporating Judgment or A Priori Knowledge -- 1.4.4 Window Analysis -- 1.5 Allocative and Overall Efficiency -- 1.6 Profit Efficiency -- 1.7 Recent Developments -- 1.8 Conclusions -- References -- Chapter 2: Returns to Scale in DEA* -- 2.1 Introduction -- 2.2 RTS Approaches with BCC Models -- 2.3 RTS Approaches with CCR Models -- 2.4 Most Productive Scale Size -- 2.5 Additive Models -- 2.6 Multiplicative Models -- 2.7 Summary and Conclusion -- Appendix -- References -- Chapter 3: Sensitivity Analysis in DEA* -- 3.1 Introduction -- 3.2 Sensitivity Analysis Approaches -- 3.2.1 Algorithmic Approaches -- 3.2.2 Metric Approaches -- 3.2.3 Multiplier Model Approaches -- 3.2.4 A Two-Stage Alternative -- 3.2.5 Envelopment Approach -- 3.3 Summary and Conclusion -- References -- Chapter 4: Choices and Uses of DEA Weights -- 4.1 Introduction -- 4.2 Using Price Information -- 4.3 Reflecting Meaningful Trade-Offs -- 4.4 Incorporating Value Information and Managerial Goals -- 4.5 Choosing From Alternate Optima -- 4.6 Looking for Non-zero Weights -- 4.7 Avoiding Large Differences in the Values of Multipliers -- 4.8 Improving Discrimination and Ranking Units -- 4.9 Conclusions -- References -- Chapter 5: Malmquist Productivity Indexes and DEA -- 5.1 Introduction -- 5.2 DEA Technologies -- 5.3 Projecting onto the Frontier -- 5.4 Productivity Indexes -- 5.5 A Dynamic Malmquist Productivity Index -- References -- Chapter 6: Qualitative Data in DEA -- 6.1 Introduction. 6.2 Problem Settings Involving Ordinal Data -- 6.2.1 Ordinal Data in RandD Project Selection -- 6.2.2 Efficiency Performance of Korean Telephone Offices -- 6.3 Modeling Ordinal Data -- 6.3.1 Permissible Worth Vectors -- 6.3.2 Criteria Importance -- 6.4 Solutions to Applications -- 6.4.1 RandD Project Efficiency Evaluation -- 6.4.2 Evaluation of Telephone Office Efficiency -- 6.5 Problem Settings and Issues Involving Qualitative Data -- 6.5.1 Implementation of Robotics: Identifying Efficient Implementers -- 6.5.2 A Fair Model for Aggregating Preferential Votes -- 6.5.3 Multiple Criteria Decision Modeling: Ordinal Data, Criteria Importance, and Criteria Clearness -- 6.5.3.1 Evaluating Vendors for Complex Systems -- 6.5.3.2 Country Risk Evaluation -- 6.5.3.3 Mutual Fund Selection -- 6.5.3.4 Ordinal Data in Multicriteria Modeling: Evaluation in Terms of Subsets of Criteria -- 6.6 Discussion -- References -- Chapter 7: Congestion: Its Identification and Management with DEA -- 7.1 Congestion -- 7.2 Comparison of Two Literatures on Congestion -- 7.3 Färe, Grosskopf, and Lovell (FGL) Approach -- 7.4 Cooper, Thompson, and Thrall (CTT) Approach -- 7.4.1 A Numerical Example -- 7.5 A Unified Additive Model -- 7.6 Estimating the Output Effects of Congestion -- 7.7 Extensions -- References -- Chapter 8: Slacks-Based Measure of Efficiency -- 8.1 Introduction -- 8.2 The SBM Model -- 8.2.1 Production Possibility Set -- 8.2.2 Input-Oriented SBM -- 8.2.3 Output-Oriented SBM -- 8.2.4 Nonoriented SBM -- 8.2.5 An Illustrative Example of SBM Models -- 8.2.6 The Dual Program of the SBM Model -- 8.3 Extensions of the SBM Model -- 8.3.1 Variable Returns-to-Scale Model -- 8.3.2 Weighted-SBM Model -- 8.3.3 Super-SBM Model -- 8.3.4 An Illustrative Example of Super-SBM Models -- 8.4 Further Extensions -- 8.4.1 Dealing with Nonpositive Data in the SBM Models. 8.4.2 Variations of the SBM Models -- 8.4.3 A Compromise of Radial and Nonradial Measures of Efficiency -- 8.5 Concluding Remarks -- References -- Chapter 9: Chance-Constrained DEA -- 9.1 Introduction -- 9.2 Efficiency and Efficiency Dominance -- 9.3 Stochastic Dominance and Joint Chance Constrained Efficiency -- 9.3.1 Potential Uses -- 9.4 Stochastic Efficiency in Marginal Chance Constrained Models -- 9.5 Satisficing DEA Models -- 9.6 Concluding Remarks -- References -- Chapter 10: Performance of the Bootstrap for DEA Estimators and Iterating the Principle -- 10.1 Introduction -- 10.2 Efficiency and the Theory of the Firm -- 10.3 Estimation -- 10.4 A Statistical Model -- 10.5 Some Asymptotic Results -- 10.6 Bootstrapping in DEA/FDH Models -- 10.7 Implementing the Bootstrap -- 10.8 Monte Carlo Evidence -- 10.9 Enhancing the Performance of the Bootstrap -- 10.10 Conclusions -- References -- Chapter 11: Statistical Tests Based on DEA Efficiency Scores -- 11.1 Introduction -- 11.2 Hypothesis Tests When Inefficiency is the Only Stochastic Variable -- 11.2.1 Statistical Foundation for DEA -- 11.2.2 Efficiency Comparison of Two Groups of DMUs -- 11.2.3 Tests of Returns to Scale -- 11.2.4 Tests of Allocative Efficiency -- 11.2.5 Tests of Input Separability -- 11.3 Hypothesis Tests for Situations Characterized by Shifts in Frontier -- 11.4 Hypothesis Tests for Composed Error Situations -- 11.4.1 Tests for Efficiency Comparison -- 11.4.2 Tests for Evaluating the Impact of Contextual Variables on Efficiency -- 11.4.3 Tests for Evaluating the Adequacy of Parametric Functional Forms -- 11.5 Concluding Remarks -- References -- Chapter 12: Modeling DMU´s Internal Structures: Cooperative and Noncooperative Approaches -- 12.1 Introduction -- 12.2 Two-Stage Processes -- 12.3 Centralized Model -- 12.4 Stackelberg Game. 12.5 DEA Model for General Multistage Serial Processes Via Additive Efficiency Decomposition -- 12.6 General Multistage Processes -- 12.6.1 Parallel Processes -- 12.6.2 Nonimmediate Successor Flows -- 12.7 Conclusions -- References -- Chapter 13: Assessing Bank and Bank Branch Performance -- 13.1 Introduction -- 13.2 Performance Measurement Approaches in Banking -- 13.2.1 Ratio Analysis -- 13.2.2 Frontier Efficiency Methodologies -- 13.2.3 Other Performance Evaluation Methods -- 13.3 Data Envelopment Analysis in Banking -- 13.3.1 Banking Corporations -- 13.3.1.1 In-Country -- 13.3.1.2 Cross-Country Studies -- 13.3.2 Bank Branches -- 13.3.2.1 Small Number of Branches -- 13.3.2.2 Large Number of Branches -- 13.3.2.3 Branch Studies Incorporating Service Quality -- 13.3.2.4 Unusual Banking Applications of DEA -- 13.4 Model Building Considerations -- 13.4.1 Approaching the Problem -- 13.4.2 Input or Output? -- 13.4.3 Too Few DMUs/Too Many Variables -- 13.4.4 Relationships and Proxies -- 13.4.5 Outliers -- 13.4.6 Zero or Blank? -- 13.4.7 Size Does Matter -- 13.4.8 Too Many DMUs on the Frontier -- 13.4.9 Environmental Factors -- 13.4.10 Service Quality -- 13.4.11 Validating Results -- 13.5 Banks as DMUS -- 13.5.1 Cross-Country/Region Comparisons -- 13.5.2 Bank Mergers -- 13.5.2.1 Selecting Pairs of Branch Units for Merger Evaluation -- 13.5.2.2 Defining a Strategy for Hypothetically Merging Two Bank Branches -- 13.5.2.3 Developing Models for Evaluating the Overall Performance of Merged Units Through the Selection of Appropriate Input and Output Variables -- 13.5.2.4 Calculating Potential Efficiency Gains -- 13.5.2.5 Identifying Differences in Cultural Environments Between the Merging Banks -- 13.5.2.6 Calculating Potential Synergies -- 13.5.3 Temporal Studies -- 13.5.3.1 The Models -- 13.5.3.2 Window Analysis -- 13.5.3.3 Malmquist Productivity Index. 13.6 Bank Branches as DMUS -- 13.6.1 The Production Model -- 13.6.2 Profitability Model -- 13.6.3 Intermediation Model -- 13.6.4 Model Results -- 13.6.5 Senior Management Concerns -- 13.6.6 A Two-Stage Process -- 13.6.7 Targeted Analysis -- 13.6.8 New Role of Bank Branch Analysis -- 13.6.9 Environmental Effects -- 13.7 Validation -- 13.7.1 Validating a Method with Monte Carlo Simulation -- 13.8 Conclusions -- References -- Chapter 14: Engineering Applications of Data Envelopment Analysis -- 14.1 Background and Context -- 14.2 Research Issues and Opportunities -- 14.2.1 Evaluating Design Alternatives -- 14.2.2 Disaggregated Process Evaluation and Improvement: Opening the ``Input/Output Transformation Box´´ -- 14.2.3 Hierarchical Manufacturing System Performance -- 14.2.4 Data Measurement Imprecision in Production Systems -- 14.2.5 Dynamical Production Systems -- 14.2.6 Visualization of the DEA Results: Influential Data Identification -- 14.3 A DEA-Based Approach Used for the Design of an Integrated Performance Measurement System -- 14.4 Selected DEA Engineering Applications -- 14.4.1 Four Applications -- 14.4.1.1 Evaluating Efficiency of Turbofan Jet Engines (Bulla et al. 2000) -- 14.4.1.2 Measurement and Monitoring of Relative Efficiency of Highway Maintenance Patrols (Cook et al. 1990, 1994) and of Highway Maintenance Operations (Ozbek et al. 2010a, b)6 -- 14.4.1.3 Data Envelopment Analysis of Space and Terrestrially Based Large Scale Commercial Power Systems for Earth (Criswell and Thompson 1996) -- 14.4.1.4 The Relationship of DEA and Control Charts (Hoopes and Triantis 2001) -- 14.4.2 The Effect of Environmental Controls on Productive Efficiency -- 14.4.3 The Performance of Transit Systems -- 14.4.4 Other Engineering Applications of DEA -- 14.5 Systems Thinking Concepts and Future DEA Research in Engineering. 14.5.1 The Need for Operational Thinking. Focusing on extensively used Data Envelopment Analysis topics, this volume aims to both describe the state of the field and extend the frontier of DEA research. New chapters include DEA models for DMUs, network DEA, models for supply chain operations and applications, and new developments. EBL201708 Mathematical Physics and Mathematics SzGeCERN BOOK Seiford, Lawrence M Zhu, Joe https://cds.cern.ch/auth.py?r=EBLIB_P_798551 ebook n 201732 21 PUBLIC https://catalogue.library.cern/legacy/2278724 BOOK MIGRATED 2278700 SzGeCERN 20200222231825.0 9781441957603 electronic version electronic version 9781489982117 electronic version electronic version 9781489982117 print version oai:cds.cern.ch:2278700 cerncds:BOOK eng TA1-2040 621.3815 Liu, Johan Reliability of microtechnology interconnects, devices and systems New York, NY Springer 2011 216 p Chapter 1: Introduction to Reliability and Its Importance -- 1.1 Introduction -- References -- Chapter 2: Reliability Metrology -- 2.1 The Definition of Reliability -- 2.2 Empirical Models -- 2.3 Physical Models -- 2.4 Reliability Information -- 2.5 Interconnection Reliability -- 2.6 The Levels of Interconnections -- 2.7 Reliability Function -- 2.7.1 Exponential Distribution -- 2.7.2 Weibull Distribution -- 2.7.3 Log-Normal Distribution -- 2.7.4 Physical Basis of the Distributions -- 2.8 A Generic Weibull Distribution Model to Predict Reliability of Microsystems -- 2.8.1 Failure-Criteria Dependence of the Location Parameter -- 2.8.2 Least Squares Estimation -- 2.8.3 The Experiment and Data -- 2.8.4 Analysis and the Results -- 2.8.5 Application of the Results -- Exercises -- References -- Chapter 3: General Failure Mechanisms of Microsystems -- 3.1 Introduction -- 3.2 Mechanical and Thermomechanical Failure Mechanisms -- 3.2.1 Low Cycle Fatigue -- 3.2.2 Creep -- 3.3 Brittle Fracture -- 3.4 IC Level Failure Mechanisms -- 3.4.1 Electromigration -- 3.4.2 Electrostatic Discharge -- 3.5 Corrosion -- 3.6 Plastic Package Popcorning -- Exercises -- References -- Chapter 4: Solder Joint Reliability -- 4.1 Microstructure of Solder Joints -- 4.1.1 Microstructure of Eutectic Sn-37Pb -- 4.1.2 Microstructural Stability and Interfacial Interactions -- 4.1.3 Microstructure of Eutectic Sn-3.5Ag -- 4.1.4 Microstructural Evolution and Interfacial Interactions -- 4.1.5 Microstructure of Sn-Ag-Cu Alloys -- 4.1.6 Microstructural Evolution and Interfacial Interactions -- 4.1.7 Microstructure of Sn-3.5Ag-3Bi -- 4.1.7.1 Microstructural Evolution and Interfacial Interactions -- 4.1.8 Microstructure of Sn-0.7Cu-0.4Co -- 4.1.8.1 Microstructural Evolution and Interfacial Interactions -- 4.2 Mechanical Reliability of Solder Joints -- 4.2.1 Fatigue Failure. 4.3 General Solder Joint Failure Mechanism -- 4.3.1 Effect of Second Level Solder Interconnection Failure -- 4.3.2 Standards Related to Solder Joint Reliability Testing -- Exercises -- References -- Chapter 5: Conductive Adhesive Joint Reliability -- 5.1 Introduction to Conductive Adhesives -- 5.2 Isotropic Conductive Adhesive -- 5.3 Reliability of ICA Interconnects -- 5.3.1 Effect of Metallization -- 5.3.2 Effect of Curing Degree -- 5.3.3 Impact Strength -- 5.3.4 Failure Mechanisms -- 5.3.4.1 Cracking -- 5.3.4.2 Formation of Oxides -- 5.3.4.3 Formation of Intermetallic Compounds -- 5.3.4.4 Filler Motion -- 5.3.4.5 Ag Migration -- 5.3.5 Electron Conduction Through Nanoparticles in ICA -- 5.4 Reliability of ACA Interconnects -- 5.4.1 Effects of Assembly Process -- 5.4.2 Effects of Substrate and Component -- 5.4.3 Degradation Due to Moisture Absorption -- 5.4.4 Oxidation and Crack Growth -- 5.4.5 Probabilities of Open and Bridging -- 5.4.6 ACA Flow During Bonding -- 5.4.7 Electrical Conduction Development and Residual Stresses -- Exercises -- References -- Chapter 6: Accelerated Testing -- 6.1 Fatigue Failure Analysis for Accelerated Testing -- 6.2 Thermal Fatigue -- 6.3 Effect of Different Test Factors on Thermal Fatigue Life -- 6.4 Isothermal Mechanical LCF -- 6.4.1 Effect of Frequency -- 6.4.2 Effect of Dwell (Hold) Time -- 6.4.3 Effect of Strain Range and Strain Rate -- 6.4.4 Effect of Temperature -- 6.4.5 Effect of Failure Definition -- 6.4.6 Effect of Other Factors -- Exercises -- References -- Chapter 7: Reliability Design for Manufacturability -- 7.1 Lead-Free Soldering -- 7.1.1 Higher Process Temperature -- 7.2 Other Issues -- 7.2.1 Lead Contamination -- 7.2.2 Tin Whiskers -- 7.3 Inspection -- 7.4 Repair and Rework -- Exercises -- References -- Chapter 8: Component Reliability -- 8.1 Introduction -- 8.2 Empirical Models -- 8.3 The Methodology. 8.4 Empirical Models in System Reliability Analysis -- 8.5 Limitations of Empirical Models and Recommendations on Use -- Exercises -- References -- Chapter 9: System Level Reliability -- 9.1 Introduction -- 9.2 Some Constant Hazard Rate Approximations of the Weibull Distribution -- 9.3 Resulting Functions and Hazard Rates -- 9.4 Properties of Different Options -- 9.5 Comparison of the Selected Options -- 9.6 Selection of Time Intervals -- 9.7 The Motivation for Selecting Two-Parameter Weibull Distribution -- 9.8 Constant Failure Rate and Its Origin in the Field Failure Data -- Exercises -- References -- Chapter 10: Reliability and Quality Management of Microsystem -- 10.1 Introduction -- 10.2 Activity 1: Product Requirements and Constraints -- 10.3 Activity 2: Product Life-Cycle Conditions -- 10.4 Activity 3: Selection and Characterization of Alternative Product Architectures and Manufacturing Processes -- 10.5 Activity 4: Qualification of Packaging Concepts and Manufacturing Processes -- 10.5.1 Manufacturability -- 10.5.2 Reliability -- 10.5.2.1 Assessment of Failure Probability -- 10.5.3 Maintainability -- 10.5.4 Environmental Compatibility -- 10.6 Activity 5: Risk Management and Balance of Functionality, Quality, and Cost Requirements -- 10.6.1 Risk Management of Supplied Materials and Parts -- 10.6.2 Risk Management of Manufacturing Processes and New Technologies -- 10.6.3 Failure Modes and Effects Analysis -- 10.6.4 Protective Measures -- 10.7 Activity 6: Quality Controls and Improvement of Design, Materials, Parts, and Manufacturing Processes -- 10.7.1 Design Defects -- 10.7.2 Defects Caused by Manufacturing Processes -- 10.8 Activity 7: Failure Analysis and Feedback of Gained Knowledge -- Exercises -- References -- Chapter 11: Experimental Tools for Reliability Analysis -- 11.1 Optical Microscopy -- 11.2 Scanning Electron Microscopy. 11.3 Energy-Dispersive X-Ray -- 11.4 Scanning Acoustic Microscopy -- 11.5 X-Ray -- 11.6 Low-Cycle Fatigue Testing -- 11.7 Shear Testing -- 11.8 Humidity and Temperature Testing -- 11.9 Thermal Shock and Thermal Cycling Testing -- 11.10 Moiré Interferometry -- Exercises -- References -- Abbreviations -- Answers to the Exercises -- Answers to the Exercises -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5 -- Chapter 6 -- Chapter 7 -- Chapter 8 -- Chapter 9 -- Chapter 10 -- Chapter 11 -- Index. This text discusses the reliability of microtechnology products from the bottom up, beginning with devices and extending to systems. It covers many topics, and it addresses specific failure modes in solder and conductive adhesives at great length. EBLlink deleted SzGeCERN Engineering EBL Electronic books -- local EBL Microelectromechanical systems EBL Microtechnology BOOK Salmela, Olli Sarkka, Jussi Tegehall, Per-Erik Andersson, Cristina n 201732 21 PUBLIC BOOK DELETED 2278679 SzGeCERN 20171214170557.0 9781441960184 electronic version 9781441960177 electronic version EBL 645707 eng TA1-2040 621.381 Hartzell, Allyson L MEMS reliability Boston, MA Springer 2010 299 p MEMS reference shelf Foreword -- Preface -- Acknowledgements -- Contents -- 1 Introduction: Reliability of MEMS -- References -- 2 Lifetime Prediction -- 2.1 Introduction -- 2.2 Mathematical Measures of Reliability -- 2.3 Reliability Distributions -- 2.3.1 Bathtub Curve -- 2.3.2 Exponential Distribution -- 2.3.3 Weibull Distribution -- 2.3.4 Lognormal distribution -- 2.3.5 Acceleration Factors -- 2.3.6 Lifetime Units -- 2.4 Case Studies -- 2.4.1 Texas Instruments Digital Mirror Device -- 2.4.2 Case Study: Analog Devices Accelerometer -- 2.4.3 Case Study: RF MEMS -- 2.5 Summary -- References -- 3 Failure Modes and Mechanisms: Failure Modes and Mechanisms in MEMS -- 3.1 Introduction -- 3.2 Design Phase Failure Modes -- 3.2.1 Functional Failure Modes -- 3.2.1.1 Element Design -- 3.2.1.2 System Level Design -- 3.2.1.3 Package Design -- 3.2.2 MEMS Material Failure Modes -- 3.2.2.1 Thermo-Mechanical (TM) Failures -- 3.2.2.2 Electrical (EL) Failures -- 3.2.2.3 Environmental (ENV) Failures -- 3.2.3 Non-analyzed Conditions -- 3.2.3.1 Leakage Currents -- 3.3 Manufacturing Failure Modes -- 3.3.1 Front End Process Defects -- 3.3.1.1 Local (Wafer) Defects -- 3.3.1.2 Material Transport -- Deposit/Etch Failures -- 3.3.1.3 Stress Relaxation Effects -- 3.3.1.4 Process Tribological Failures -- Stiction -- 3.3.1.5 Wafer Bonding (or Hermiticity) -- 3.3.2 Back End Process Failures -- 3.3.2.1 Wafer Dicing -- 3.3.2.2 Wafer Handling -- 3.3.2.3 Packaging -- 3.4 Summary -- References -- 4 In-Use Failures -- 4.1 Introduction -- 4.2 Mechanical Failure Modes -- 4.2.1 Fracture -- 4.2.2 Mechanical Shock Resistance -- 4.2.2.1 Introduction -- 4.2.2.2 Response to Shocks -- 4.2.2.3 Increasing Shock Resistance -- 4.2.2.4 Simple Model for Critical Acceleration and Case Study on SOI Micro-Mirrors -- 4.2.2.5 Conclusions on Shock -- 4.2.3 Vibration -- 4.2.4 Creep -- 4.2.4.1 Introduction. 4.2.4.2 Reducing Creep in MEMS -- 4.2.4.3 Metal Films on Silicon MEMS -- 4.2.4.4 Conclusions on Creep -- 4.2.5 Fatigue -- 4.2.5.1 Introduction to Fatigue in Brittle and Ductile Materials -- 4.2.5.2 How to Measure Fatigue in MEMS -- 4.2.5.3 Silicon MEMS -- 4.2.5.4 Metals -- 4.3 Electrical Failure Modes -- 4.3.1 Charging in MEMS -- 4.3.1.1 Introduction to Dielectric Charging -- 4.3.1.2 Mitigation of Charging Effects -- 4.3.1.3 Geometry Changes -- 4.3.1.4 Charge Dissipation Layers -- 4.3.1.5 Multi-Step Voltage Drive for RF MEMS Switches -- 4.3.2 Electrical Breakdown and ESD -- 4.3.2.1 Electrical Breakdown in a Gas for Micron-Scale Gaps -- 4.3.2.2 Electrical Breakdown Across Solid Dielectrics -- 4.3.2.3 ESD and EOS -- 4.3.3 Electromigration -- 4.4 Environmental -- 4.4.1 Radiation -- 4.4.1.1 Typical Doses for Space Applications -- 4.4.1.2 Damage Mechanisms -- 4.4.1.3 Degradation Processes -- 4.4.1.4 Degradation Effects -- 4.4.1.5 Review of Published Data on MEMS Radiation Tolerance -- 4.4.1.6 Suggestions for Radiation-Hardening MEMS -- 4.4.2 Anodic Oxidation and Galvanic Corrosion of Silicon -- 4.4.2.1 Origin of Anodic Oxidation -- 4.4.2.2 Observations and Mitigation -- 4.4.2.3 Galvanic Corrosion During Release in HF -- 4.4.3 Metal Corrosion -- 4.5 Conclusions -- References -- 5 Root Cause and Failure Analysis -- 5.1 Introduction -- 5.2 FMEA, Failure Mode and Effects Analysis -- 5.2.1 RPN (Risk Priority Number) Levels -- 5.2.2 RFMEA Example -- 5.3 Case Study of RFMEA Failure Mode -- 5.3.1 RFMEA Safeguard: Design for Reliability, Mirror Curvature Matching -- 5.3.2 RFMEA Safeguard: Test for Curvature -- 5.3.3 RFMEA Safeguard: Perform Accelerated Thermal Testing and Compare Radius of Curvature Change to Predictions -- 5.3.4 Implementation of RFMEA Learning into Production -- 5.4 Failure Analysis as a Tool for Root Cause. 5.5 Analytical Methods for Failure Analysis -- 5.5.1 Laser Doppler Vibrometry (LDV) -- 5.5.2 Interferometry -- 5.5.3 Scanning Electron Microscopy (SEM) -- 5.5.4 Electron Beam Scatter Detector (EBSD) -- 5.5.5 Transmission Electron Microscopy (TEM) -- 5.5.6 Focused Ion Beam (FIB) -- 5.5.7 Atomic Force Microscopy (AFM) -- 5.5.8 Energy Dispersive X-ray Analysis (EDS, EDX, EDAX) -- 5.5.9 Auger Analysis -- 5.5.10 X-Ray Photoelectron Spectroscopy (ESCA/XPS) -- 5.5.11 Time of Flight Secondary Ion Mass Spectroscopy (TOFSIMS) -- 5.5.12 Fourier Transform Infrared Spectroscopy (FTIR) -- 5.6 Summary -- References -- 6 Testing and Standards for Qualification -- 6.1 Introduction -- 6.2 Testing MEMS -- 6.2.1 Classes of MEMS Devices -- 6.3 Test Equipment for MEMS -- 6.3.1 Shaker Table for Vibration Testing -- 6.3.2 Optical Testing for Deformable Mirrors -- 6.3.3 Dynamic Interferometry -- 6.3.4 MEMS Optical Switch Production Test System -- 6.3.5 Laser Doppler Vibrometer/Strobe Video System -- 6.3.6 SHiMMer (Sandia High Volume Measurement of Micromachine Reliability) -- 6.4 Quality Standards and Qualifications -- 6.4.1 Mil-Std-883 (Revision H is current) -- 6.4.1.1 Temperature ranges from Stabilization Bake, Method 1005.9 -- 6.4.1.2 Temperature cycling, Method 1010.8 -- 6.4.1.3 Variable Frequency Vibration, Method 2007.3 -- 6.4.1.4 Mechanical Shock, Method 2002.5 -- 6.4.1.5 Constant Acceleration, Method 2001.3 -- 6.4.2 Mil-Std-810 (Current Revision G) -- 6.4.2.1 High Temperature, Method 501.5 -- 6.4.2.2 Thermal Shock, Test Method 503.5 -- 6.4.3 Telcordia Standards -- 6.4.4 Automotive Standards -- 6.5 MEMS Qualification Testing -- 6.5.1 ADI Accelerometers for Airbag Deployment -- 6.5.2 Motorola MEMS Pressure Sensors -- 6.5.3 Example: Space and Military Qualification -- 6.5.3.1 NASA Space Random Vibration Specifications. 6.5.3.2 DMD Ruggedization -- Example of a MEMS Product Tested to Extreme Conditions -- 6.6 Summary -- References -- 7 Continuous Improvement: Tools and Techniques for Reliability Improvement -- 7.1 The Yield-Reliability Connection -- 7.2 Yield Improvement Techniques -- 7.2.1 Design for Manufacturability (DfM) -- 7.2.2 Design for Test (DfT) -- 7.2.3 Process and Packaging Integration -- 7.2.4 Yield Modeling -- 7.3 Reliability Enhancement -- 7.3.1 Process Stability and Reproducibility -- 7.3.1.1 Process Characterization -- 7.3.1.2 Material Property Characterization -- 7.3.1.3 Test Structures and PCMs -- 7.3.2 Product Qualification -- 7.3.2.1 Acceleration Factors -- 7.3.2.2 MEMS Qualification Testing -- 7.4 Design for Reliability (DFR) -- 7.5 Summary -- References -- Subject Index. This book focuses on the reliability and manufacturability of MEMS at a fundamental level. It demonstrates how to design MEMs for reliability and provides detailed information on the different types of failure modes and how to avoid them. da Silva, Mark G Shea, Herbert R 9781441960177 print version oai:cds.cern.ch:2278679 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_645707 ebook ebook EBL201708 Engineering SzGeCERN BOOK n 201732 21 PUBLIC BOOK DELETED 2278667 SzGeCERN 20180515232349.0 9780080889801 electronic version 9780123748546 electronic version EBL 452848 eng QA279.5 -- .L56 2010eb 519.542 Link, William A Bayesian inference with ecological applications San Diego, CA Elsevier Science 2009 355 p Front Cover -- Title Page -- Copyright page -- Table of Contents -- Preface -- Acknowledgments -- Part 1: Probability and Inference -- Chapter 1. Introduction to Bayesian Inference -- 1.1 Introduction -- 1.2 Thomas Bayes -- 1.3 The Bayesian/Frequentist Difference -- 1.4 Understanding the Basis of Thomas Bayes' System of Inference -- Chapter 2. Probability -- 2.1 What is Probability? -- 2.2 Basic Probability Concepts for Bayesian Inference -- Chapter 3. Statistical Inference -- 3.1 Likelihood -- 3.2 Confidence Intervals -- 3.3 Bayesian Interval Estimation -- 3.4 Summary and Comparison of Inferential Systems -- Chapter 4. Calculating Posterior Distributions -- 4.1 Conjugacy -- 4.2 Monte Carlo Methods -- 4.3 Markov Chain Monte Carlo -- Part 2: The Bayesian Māramatanga -- Chapter 5. Bayesian Prediction -- 5.1 The Bayesian Māramatanga -- 5.2 Estimating Mean Residual Lifetime -- 5.3 Derived Parameters in Summary Analyses: BBS Case Study -- 5.4 Derived Parameters and Out of Sample Inference in a Dose-Response Study -- 5.5 Product Binomial Representation of the CJS Model -- 5.6 Posterior Predictive Model Checking -- Chapter 6. Priors -- 6.1 An Example Where Priors Matter -- 6.2 Objective Bayesian Inference -- 6.3 Afterword -- Chapter 7. Multimodel Inference -- 7.1 The BMI Model -- 7.2 Bayes Factors -- 7.3 Multimodel Computation -- 7.4 Indices of Model Acceptability: AIC and DIC -- 7.5 Afterword -- Part 3: Applications -- Chapter 8. Hidden Data Models -- 8.1 Complete Data Likelihood -- 8.2 Randomized Response Data -- 8.3 Occupancy Models as Hierarchical Logistic Regressions -- 8.4 Distance Sampling -- 8.5 Finite Population Sampling -- 8.6 Afterword -- Chapter 9. Closed-Population Mark-Recapture Models -- 9.1 Introduction -- 9.2 Mark-Recapture Models and Missing Data -- 9.3 Time and Behavior Models -- 9.4 Individual Heterogeneity Models. 9.5 Example: Koalas -- 9.6 Afterword -- Chapter 10. Latent Multinomial Models -- 10.1 Model Mt -- 10.2 Model Mt,α -- 10.3 Gibbs Sampling for Model Mt,α -- 10.4 An Implementation of Model Mt,α -- 10.5 Extensions -- Chapter 11. Open Population Models -- 11.1 Continuous-Time Survival Models -- 11.2 Open Population Mark-Recapture - Band-Recovery Models -- 11.3 Open Population Mark-Recapture - The CJS Model -- 11.4 Full Open Population Modeling Formalities -- 11.5 CMSA Model and Extensions -- 11.6 Multiple Groups -- 11.7 Robust Design -- 11.8 Multistate Models and Other Extensions of the CJS Model -- 11.9 Afterword -- Chapter 12. Individual Fitness -- 12.1 Population Fitness -- 12.2 Individual Fitness -- 12.3 Realized Individual Fitness -- 12.4 Individual Fitness in Group Context -- 12.5 Analysis of Individual Fitness: An Example -- 12.6 Population Summaries of Fitness -- 12.7 Afterword -- Chapter 13. Autoregressive Smoothing -- 13.1 Dove Data and Preliminary Analyses -- 13.2 Modeling Differences in Parameter Values -- 13.3 Results for Dove Analysis -- 13.4 Higher Order Differences -- 13.5 Afterword -- Part 4: Appendices -- A. Probability Rules -- A.1 Properties of Moments -- A.2 Conditional Expectations -- A.3 Independence and Correlation -- B. Probability Distributions -- B.1 Uniform Distribution -- B.2 Discrete Uniform Distribution -- B.3 Normal Distribution -- B.4 Multivariate Normal Distribution -- B.5 Bernoulli Trials and the Binomial Distribution -- B.6 Poisson Distribution -- B.7 Multinomial Distribution -- B.8 Exponential Distribution -- B.9 Gamma Distribution -- B.10 Beta Distribution -- B.11 t-Distribution -- B.12 Negative Binomial Distribution -- Bibliography -- Index of Examples -- Index. This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for environmental scientists, ecologists and wildlife biologists. It emphasizes the power and usefulness of Bayesian methods in an ecological context. The advent of fast personal computers and easily available software has simplified the use of Bayesian and hierarchical models . One obstacle remains for ecologists and wildlife biologists, namely the near absence of Bayesian texts written specifically for them. The book includes many relevant examples, is supported by software and examples on a companion website and will become an essential grounding in this approach for students and research ecologists. Engagingly written text specifically designed to demystify a complex subject Examples drawn from ecology and wildlife research An essential grounding for graduate and research ecologists in the increasingly prevalent Bayesian approach to inference Companion website with analytical software and examples Leading authors with world-class reputations in ecology and biostatistics. Barker, Richard J 9780123748546 print version oai:cds.cern.ch:2278667 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_452848 ebook ebook EBL Bayesian statistical decision theory EBL201708 Mathematical Physics and Mathematics SzGeCERN BOOK n 201732 21 PUBLIC BOOK DELETED 2278643 SzGeCERN 20210421210711.0 9783540367314 electronic version electronic version 9783642433092 electronic version electronic version 9783642433092 print version oai:cds.cern.ch:2278643 cerncds:BOOK EBL 338388 eng G1-922 526.0285 Peckham, Robert Joseph Digital terrain modelling development and applications in a policy support environment Berlin Springer 2007 329 p ebook Lecture notes in geoinformation and cartography Pages:1 to 25 -- Pages:26 to 50 -- Pages:51 to 75 -- Pages:76 to 100 -- Pages:101 to 125 -- Pages:126 to 150 -- Pages:151 to 175 -- Pages:176 to 200 -- Pages:201 to 225 -- Pages:226 to 250 -- Pages:251 to 275 -- Pages:276 to 300 -- Pages:301 to 325 -- Pages:326 to 329. This publication is the first book on the development and application of digital terrain modelling for regional planning and policy support. It is a compilation of research results by international research groups at the European Commission's Joint Research Centre providing scientific support to the development and implementation of EU environmental policy. Applications include the pan-European River and Catchment Database, European Flood Alert System, European Digital Soil Database and alternative solar energy resources, all discussed in a GIS framework in the context of the INfrastructure for SPatial InfoRmation in Europe (INSPIRE). This practice-oriented book is recommended to practicing environmental modellers and GIS experts working on regional planning and policy support applications. EBL201708 Astrophysics and Astronomy SzGeCERN EBL Digital mapping EBL Geodatabases BOOK Jordan, Gyozo https://cds.cern.ch/auth.py?r=EBLIB_P_338388 ebook n 201732 21 PUBLIC https://catalogue.library.cern/legacy/2278643 BOOK MIGRATED 2278136 SzGeCERN 20170906005812.0 9783319542638 (electronic bk.) electronic version electronic version 9783319542614 9783319542614 print version oai:cds.cern.ch:2278136 cerncds:BOOK EBL 4877499 eng QC71.82-73.8 621.042 Dahlquist, Erik Natural resources available today and in the future how to perform change management for achieving a sustainable world Cham Springer 2017 310 p Preface -- About the Author -- Description -- Other Authors -- Contents -- Chapter 1: System Perspective -- 1.1 Introduction -- 1.2 Countries of the World: Countries Grouped in Different Categories -- 1.3 Sustainable Development of Cities and Societies -- 1.4 Economy -- 1.4.1 Taxes and GINI-Numbers -- 1.4.2 Inflation -- 1.4.3 GNI -- 1.5 Different Cultures -- 1.6 Corruption -- 1.7 CO2 Emissions and Climate Effects -- 1.8 Science and Communication -- 1.9 Railways and Other Transportation -- 1.10 Sustainable Industry -- 1.11 Regional Development -- 1.11.1 Africa -- References -- Chapter 2: The Challenges of Measuring Sustainability Performance -- References -- Chapter 3: Population Development, Demography and Historical Perspective -- 3.1 Population Development -- 3.1.1 Conclusions -- 3.2 Historical Perspective -- 3.2.1 Food Development -- References -- Chapter 4: Biologic Resources -- 4.1 Introduction -- 4.1.1 Overview Over Land Use -- 4.2 Natural Capital Land -- 4.2.1 Global Distribution -- 4.2.2 Summary and Discussion -- 4.3 Some Inputs to Agriculture -- 4.3.1 Use of Fertilisers -- 4.3.2 Use of Biocides -- 4.4 Production of Food -- 4.4.1 Overview -- 4.4.2 Productivity in Cereal Production Related to Land and Fertilisers -- 4.4.3 Animal Production -- 4.5 Production of Specific Important Crops -- 4.5.1 Soybean -- 4.5.2 Rice -- 4.5.3 Wheat (Triticum spp) -- 4.5.4 Corn (Zea Mays) -- 4.5.5 Barley, Rye and Oats -- 4.5.6 Oil Crops -- 4.5.7 Sugar Cane -- 4.5.8 Cassava -- 4.5.9 Energy Crops -- 4.5.10 Quorn -- 4.6 Consumption of Food -- 4.6.1 Cereals and Meat -- 4.6.2 Capture and Consumption of Fish -- 4.7 Environmental Recycling Agriculture (ERA) -- 4.8 Biomass Production in Northern Europe -- 4.9 Algae -- 4.10 Crop Improvements -- 4.10.1 GMO -- 4.10.2 Improvement of Harvest Yields -- 4.11 Use of Insects as Food -- 4.12 Forest Resources. 4.13 Water Resources -- 4.14 Summary -- References -- Chapter 5: Energy Resources and Regional Balances -- 5.1 Global Overview of Energy Resources and Conversion Capacity -- 5.2 Renewable Energy: Wind Power and Solar Power -- 5.2.1 Wind Power -- 5.2.2 Solar Power, PV -- 5.2.3 Biomass Conversion -- 5.3 Energy Situation in Different Countries and Regions -- 5.3.1 EU27 Energy Situation 2014 and Onwards -- 5.3.2 EU27: An Overall Energy Balance -- 5.3.3 China: Today and in the Year 2050 -- 5.3.4 India -- 5.3.5 USA -- 5.3.6 Brazil -- 5.3.7 Africa south of Sahara -- 5.3.8 Other Regions -- 5.3.8.1 Global Perspectives -- References -- Chapter 6: Nonorganic and Fossil Resources: Known and Estimated Resources -- 6.1 Metals -- 6.1.1 Aluminum (Al) -- 6.1.2 Calcium (Ca) -- 6.1.3 Chromium (Cr) -- 6.1.4 Cobalt (Co) -- 6.1.5 Copper (Cu) -- 6.1.6 Gold (Au) -- 6.1.7 Iron (Fe) -- 6.1.8 Lithium (Li) -- 6.1.9 Magnesium (Mg) -- 6.1.10 Manganese (Mn) -- 6.1.11 Molybden (Mo) -- 6.1.12 Nickel (Ni) -- 6.1.13 Platinum (Pt) -- 6.1.14 Potassium (K) -- 6.1.15 Rare Earth Metals -- 6.1.16 Silver (Ag) -- 6.1.17 Sodium (Na) -- 6.1.18 Tin (Sn) -- 6.1.19 Uranium (U) -- 6.1.20 Vanadium (V) -- 6.1.21 Zinc (Zn) -- 6.2 Inorganic Materials Other than Metals -- 6.2.1 Boron (B) -- 6.2.2 Carbon (C) -- 6.2.3 Chlorine (Cl) -- 6.2.4 Fluorine (F) -- 6.2.5 Halogens -- 6.2.6 Hydrogen (H) -- 6.2.7 Nitrogen (N) -- 6.2.8 Oxygen (O) -- 6.2.9 Phosphorous (P) -- 6.2.10 Silica (Si) -- 6.2.11 Sulfur (S) -- 6.3 Fossil Organics Like Peat, Lignite, Oil, and Natural Gas -- References -- Chapter 7: Reuse and Circulation of Organic Resources and Mixed Residues -- 7.1 Introduction -- 7.1.1 First Case of Sorting Out the Household Biowaste in Finland 1984 -- 7.1.2 Current Household Biowaste Treating in Helsinki and in Stockholm -- 7.2 Role of Microbes in the Circulation. 7.2.1 Historical Background and Outcome of the REMOWE and ABOWE Projects -- 7.2.2 What Is Biorefinery Technology? - Theoretical and Practical Considerations -- 7.2.3 Special Features of the Circulation Phenomena -- 7.2.4 Biogas -- 7.2.5 Fuel Cell Cars -- 7.2.6 Circulation of Agricultural Wastes -- 7.2.7 Combined Incineration with Circulation Means -- 7.3 Perspectives from the EU Down to National and Regional Level -- 7.3.1 EU Waste Framework Directive -- 7.3.2 The EU Circular Economy Package -- 7.3.3 Finnish National Waste Plan -- 7.3.4 Ban for Landfilling of Organic Waste -- 7.3.5 A Municipalities' Joint Waste Management Authority -- 7.4 Statistics of Waste Resources Globally and Examples from Finland -- 7.4.1 Global Statistics of Waste Amounts -- 7.4.2 Municipal Solid Waste -- 7.4.3 Example of a Producer Responsibility System -- 7.4.4 Metals -- 7.4.5 Plastics -- 7.4.6 Paper -- 7.4.7 Food Waste/Biowaste -- 7.4.8 Example of a Campaign to Enhance Biowaste Separate Collection -- 7.4.9 E-waste -- 7.4.10 Textile Waste -- 7.4.11 Mixed Waste -- 7.4.12 Construction and Demolition Waste -- 7.5 Conclusion -- References -- Chapter 8: Energy, Different Forms -- 8.1 Production/Conversion -- 8.1.1 High Temperature Gasification -- 8.1.2 Biogas Production -- 8.1.3 Biodiesel -- 8.1.4 Ethanol -- 8.1.5 Waste to Energy -- 8.1.6 Pyrolysis and Torrefaction. Biochar. -- 8.1.7 Bio Refineries and Buthanol -- 8.1.8 Measurement of Energy Properties -- 8.1.9 Combustion and CHP -- 8.1.10 Energy Pathways and New Applications for Biomass -- 8.2 Use of Energy -- 8.3 Transportation with Personal Vehicles -- 8.4 Transportation of Goods -- 8.4.1 Industry Use -- 8.5 Energy Balance for the EU27 -- References -- Chapter 9: Impact on Climate and Environment -- 9.1 Climate, Global Warming and CCS -- 9.2 Biologic Diversity -- 9.3 Environmental Issues and Waste Water Treatment -- References. Chapter 10: Policies and Incentives - Natural Resources Available Today and in the Future: How to Perform Change Management for Achieving a Sustainable World -- 10.1 Economic Incentives and Controls Like Taxes, Subsidies, Feed-in-Tarifs, Tolls -- 10.2 Policies and Governance of Natural Resources -- 10.2.1 Introduction -- 10.2.2 The Need for Resource Efficient Governance of Natural Resources -- 10.2.3 Resource Systems Complexity as a Challenge in Governance and Policymaking -- 10.2.4 Valuing Natural Resources -- 10.2.5 Policy Processes and Instruments -- 10.2.6 Conclusions -- References -- Chapter 11: Is Circular Economy a Magic Bullet? -- 11.1 Introduction -- 11.2 The Concept of and Growing Interest in Circular Economy -- 11.3 The Main Components of Circular Economy -- 11.4 Outline of a Circular Economy -- 11.5 Is CE a Paradigm Shift? -- 11.6 Circular Economy, and Business Influence -- 11.7 Potential - Real or Imagined -- References -- Index. Hellstrand, Stefan https://cds.cern.ch/auth.py?r=EBLIB_P_4877499 ebook 201708 n 201732 ebook EBL201708 SzGeCERN Engineering BOOK 21 PUBLIC BOOK DELETED 2278086 SzGeCERN 20170906005812.0 9789811046759 (electronic bk.) electronic version 9789811046742 electronic version EBL 4867476 eng QC71.82-73.8 621.042 Wang, Jianlong Biohydrogen production from organic wastes Singapore Springer 2017 442 p Green energy and technology Preface -- Contents -- About the Authors -- 1 Introduction -- 1.1 Global Energy Development -- 1.2 Hydrogen Energy -- 1.3 Hydrogen Production -- 1.3.1 Steam Reforming -- 1.3.2 Electrolysis -- 1.3.3 Thermal Chemical -- 1.3.4 Biological -- 1.3.4.1 Biophotolysis -- 1.3.4.2 Photofermentation -- 1.3.4.3 Dark Fermentation -- 1.3.4.4 Microbial Electrolysis -- 1.3.4.5 Combined Systems for Biohyrogen Production -- 1.4 Overview of This Book -- References -- 2 Microbiology and Enzymology -- 2.1 Microorganisms in Hydrogen-Producing System -- 2.1.1 Overview -- 2.1.2 Microbial Diversity in Hydrogen-Producing System -- 2.2 Inocula for Dark Fermentation -- 2.2.1 Mixed Culture -- 2.2.2 Pure Culture -- 2.3 Pure Culture for Hydrogen Production -- 2.3.1 Clostridium butyricum INET1 -- 2.3.1.1 Isolation and Identification of Strain -- 2.3.1.2 Characteristics of Hydrogen Production -- 2.3.1.3 Optimization of Fermentative Conditions -- 2.3.1.4 Hydrogen Production from Different Substrates -- 2.3.2 Enterococcus faecium INET2 -- 2.3.2.1 Isolation of Strain -- 2.3.2.2 Identification of Strain and Phylogenetic Analysis -- 2.3.2.3 Batch Fermentation for Hydrogen Production -- 2.3.2.4 Effect of Fermentative Parameters on Hydrogen Production -- 2.3.2.5 Hydrogen Production at Optimized Condition -- 2.3.2.6 Immobilization of Enterococcus Faecium INET2 -- 2.4 Biochemistry of Hydrogen Production -- 2.4.1 Metabolic Pathways -- 2.4.2 Fermentation Types -- 2.4.2.1 Butyrate-Type Fermentation -- 2.4.2.2 Propionate-Type Fermentation -- 2.4.2.3 Ethanol-Type Fermentation -- 2.4.2.4 Mixed-Type Fermentation -- 2.5 Enzymology of Hydrogen Production -- 2.5.1 Classification of Hydrogenase -- 2.5.1.1 [Fe]-Hydrogenases -- 2.5.1.2 [NiFe]-Hydrogenases -- 2.5.1.3 [FeFe]-Hydrogenases -- 2.5.2 Genetic Modification of Hydrogenase -- 2.5.2.1 Deletion of Hydrogen-Uptake Hydrogenase. 2.5.2.2 Genetic Insertion of an Enzyme to Facilitate Hydrogenase -- 2.5.2.3 Oxygen Tolerance of Hydrogenase -- 2.5.3 Environmental Applications of Hydrogenase -- 2.6 Microbial Modification -- 2.6.1 Co-cultivation -- 2.6.1.1 Maintaining an Anaerobic Environment by Depleting Oxygen -- 2.6.1.2 Breakdown of Complex Organic Substrates -- 2.6.2 Microbial Immobilization -- 2.6.3 Metabolic Engineering -- References -- 3 Enrichment of Hydrogen-Producing Microorganisms -- 3.1 Overview -- 3.2 Heat Treatment -- 3.3 Acid/Alkaline Treatment -- 3.4 Chemical Inhibitors -- 3.5 Aeration -- 3.6 Other Treatments -- 3.6.1 Ultrasonication -- 3.6.2 Freezing and Thawing -- 3.6.3 Electric Treatment -- 3.6.4 Microwave Treatment -- 3.6.5 Ionizing Radiation Treatment -- 3.6.6 Ultraviolet (UV) Radiation -- 3.6.7 Load-Shock Treatment -- 3.6.8 Operational Condition Control -- 3.7 Combined Treatments -- 3.8 Effect of Pretreatment Methods on Microbial Community -- 3.9 Comparison of Different Pretreatment Methods -- 3.10 Gamma Irradiation for Enriching Hydrogen-Producer -- 3.10.1 Overview -- 3.10.2 Effect of Dose on Hydrogen Production -- 3.10.3 Effect of Dose on Substrate Degradation and Hydrogen Yield -- 3.10.4 Effect of Dose OnVolatile Fatty Acids -- 3.10.5 Conclusions -- 3.11 Hydrogen Production Performance by Different Pretreated Sludge -- 3.11.1 Effect on Hydrogen Production -- 3.11.2 Effect on Substrate Degradation and Hydrogen Yield -- 3.11.3 Effect on Volatile Fatty Acids and Final pH -- 3.12 Changes in Microbial Community During Biohydrogen Production -- 3.12.1 Seed Sludge and Fermentation Conditions -- 3.12.2 DNA Extraction and PCR Amplification -- 3.12.3 MiSeq Sequencing and Data Analysis -- 3.12.4 Hydrogen Production Progress -- 3.12.5 Microbial Diversity Characteristics -- 3.12.6 Microbial Diversity at Different Stages -- References. 4 Pretreatment of Organic Wastes for Hydrogen Production -- 4.1 Overview -- 4.2 Main Structural Components of Organic Wastes -- 4.3 Types and Compositions of Organic Wastes -- 4.3.1 Waste Activated Sludge -- 4.3.2 Algal Biomass -- 4.3.3 Cellulose-Based Biomass -- 4.3.4 Starch-Based Biomass -- 4.3.5 Food Waste -- 4.3.6 Wastewater -- 4.4 Pretreatment of Organic Wastes -- 4.4.1 Physical Treatment -- 4.4.1.1 Mechanical Treatment -- 4.4.1.2 Heat Treatment -- 4.4.1.3 Freeze and Thaw -- 4.4.1.4 Electric Current -- 4.4.1.5 Radiation -- 4.4.2 Chemical Treatment -- 4.4.2.1 Acid and Base Treatment -- 4.4.2.2 Oxidizing Agent -- 4.4.2.3 Methanogenic Inhibitors -- 4.4.3 Biological Treatment -- 4.4.4 Combined Treatment -- 4.4.5 Comparison of Different Treatment Methods -- 4.5 Hydrogen Production from Organic Wastes -- 4.5.1 Hydrogen Production from Waste Activated Sludge -- 4.5.2 Hydrogen Production from Algal Biomass -- 4.5.3 Hydrogen Production from Cellulose-Based Biomass -- 4.5.4 Hydrogen Production from Starch-Based Biomass -- 4.5.5 Hydrogen Production from Food Wastes -- 4.5.6 Hydrogen Production from Wastewater -- 4.6 Concluding Remarks and Perspectives -- References -- 5 Influencing Factors for Biohydrogen Production -- 5.1 Introduction -- 5.2 Effect of Inoculum -- 5.2.1 Pure Cultures -- 5.2.2 Mixed Cultures -- 5.3 Effect of Substrate -- 5.3.1 Overview -- 5.3.2 Effect on Substrate Degradation Efficiency -- 5.3.3 Effect on Hydrogen Production -- 5.3.4 Effect on Hydrogen Production Rate -- 5.3.5 Effect on Soluble Metabolites Distribution -- 5.3.6 Effect on Final pH -- 5.4 Effect of Reactor Type -- 5.5 Effect of Nitrogen and Phosphate -- 5.5.1 Overview -- 5.5.2 Effect of Ammonia Concentration -- 5.5.2.1 Kinetic Models -- 5.5.2.2 Effect on Substrate Degradation Efficiency -- 5.5.2.3 Effect on Hydrogen Production. 5.5.2.4 Effect on Soluble Metabolites Distribution -- 5.5.2.5 Comparison of Optimal Ammonia Concentration -- 5.5.3 Effect of Nitrate Concentration -- 5.5.3.1 Effect on Substrate Degradation Efficiency -- 5.5.3.2 Effect on Hydrogen Production -- 5.5.3.3 Effect on Soluble Metabolites Distribution -- 5.5.3.4 Effect on Final pH and Biomass Concentration -- 5.6 Effect of Trace Heavy Metal Ion -- 5.6.1 Importance of Heavy Metal Ions -- 5.6.2 Effect of Fe2+ -- 5.6.2.1 Overview -- 5.6.2.2 Effect on Hydrogen Production -- 5.6.2.3 Effect on Soluble Metabolite Yield -- 5.6.2.4 Effect on Substrate Conversion Rate and Biomass Yield -- 5.6.2.5 Effect on Final pH -- 5.6.3 Effect of Mg2+ -- 5.6.3.1 Overview -- 5.6.3.2 Effect on Hydrogen Production -- 5.6.3.3 Effect on Soluble Metabolites Distribution -- 5.6.3.4 Effect on Substrate Degradation Efficiency -- 5.6.3.5 Effect on Biomass Yield -- 5.6.3.6 Effect on Final pH -- 5.6.4 Influence of Ni2+ -- 5.6.4.1 Overview -- 5.6.4.2 Effect on Hydrogen Production -- 5.6.4.3 Effect on Soluble Metabolite Yield -- 5.6.4.4 Effect on Substrate Degradation Efficiency -- 5.6.4.5 Effect on Biomass Yield -- 5.6.4.6 Effect on Final pH -- 5.7 Effect of Temperature -- 5.7.1 Overview -- 5.7.2 Effect on Substrate Degradation Efficiency -- 5.7.3 Effect on Hydrogen Production -- 5.7.4 Effect on Soluble Metabolites Concentration -- 5.7.5 Effect on Biomass Concentration -- 5.7.6 Effect on Final pH -- 5.8 Effect of pH -- 5.8.1 Overview -- 5.8.2 Effect on Substrate Degradation Efficiency -- 5.8.3 Effect on Hydrogen Production -- 5.8.4 Effect on Hydrogen Production Rate -- 5.8.5 Effect on Soluble Metabolites Distribution -- 5.8.6 Effect on Final pH -- 5.8.7 Comparison of the Optimal Initial pH -- References -- 6 Kinetic Models for Hydrogen Production -- 6.1 Introduction -- 6.2 The Progress of Hydrogen Production Process. 6.3 The Effect of Substrate Concentration on Hydrogen Production -- 6.4 The Effect of Inhibitor Concentration on Hydrogen Production -- 6.5 The Effect of Temperature on Hydrogen Production -- 6.6 The Effects of pH on Hydrogen Production -- 6.7 The Effect of Dilution Rate on Hydrogen Production -- 6.8 The Relationship Among Substrate Degradation Rate, HPB Growth and Product Formation -- 6.9 Conclusions -- References -- 7 Optimization of Hydrogen Production Process -- 7.1 Overview -- 7.2 One-Factor-at-a-Time Design -- 7.3 Factorial Design -- 7.3.1 Full Factorial Design -- 7.3.2 Fractional Factorial Design -- 7.3.2.1 Taguchi Design -- 7.3.2.2 Plackett-Burman Design -- 7.3.2.3 Method of Steepest Ascent -- 7.3.2.4 Central Composite Design and Box-Behnken Design -- 7.3.2.5 Neural Network and Genetic Algorithm -- 7.3.2.6 Multiple-Response Optimization -- 7.4 Recommended Experimental Design Strategy -- 7.5 Software Packages for Factorial Design and Analysis -- 7.6 Optimization of Hydrogen Production by RSM -- 7.6.1 Three-Factor Box-Behnken Design and Response Surface Analysis -- 7.6.2 Optimization Using Box-Behnken Design (BBD) -- 7.6.3 Analysis of Variance (ANOVA) -- 7.6.4 Response Surface Analysis -- 7.6.5 Hydrogen Production at Optimal Conditions -- 7.7 Genetic Algorithm for H2 Production Optimization -- 7.7.1 Experimental Design and Procedures -- 7.7.2 Response Surface Methodology -- 7.7.3 Neural Network -- 7.7.4 Genetic Algorithm -- 7.7.5 Comparison of the Modeling Abilities of RSM Model and NN Model -- 7.7.6 Comparison of the Optimizing Abilities of RSM and GA Based on a NN Model -- 7.8 Optimization by Desirability Function Based on NN -- 7.8.1 Experimental Design and Procedures -- 7.8.2 Neural Network -- 7.8.3 Method of Desirability Function -- 7.8.4 Genetic Algorithm -- 7.8.5 Effects of Temperature, Initial pH, and Substrate Concentration. 7.8.6 Optimized Parameters by Desirability Function. Yin, Yanan 9789811046742 print version oai:cds.cern.ch:2278086 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4867476 ebook ebook EBL201708 Engineering SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2278081 SzGeCERN 20210421210723.0 9781118894439 print version 9781118894507 electronic version electronic version oai:cds.cern.ch:2278081 cerncds:BOOK EBL 4856145 eng 621.042 Rosen, Marc A Optimization of energy systems New York, NY John Wiley & Sons 2015 472 p ebook Cover -- Title Page -- Copyright -- Contents -- Acknowledgements -- Preface -- Chapter 1 Thermodynamic Fundamentals -- 1.1 Introduction -- 1.2 Thermodynamics -- 1.3 The First Law of Thermodynamics -- 1.3.1 Thermodynamic System -- 1.3.2 Process -- 1.3.3 Cycle -- 1.3.4 Heat -- 1.3.5 Work -- 1.3.6 Thermodynamic Property -- 1.3.6.1 Specific Internal Energy -- 1.3.6.2 Specific Enthalpy -- 1.3.6.3 Specific Entropy -- 1.3.7 Thermodynamic Tables -- 1.3.8 Engineering Equation Solver (EES) -- 1.4 The Second Law of Thermodynamics -- 1.5 Reversibility and Irreversibility -- 1.6 Exergy -- 1.6.1 Exergy Associated with Kinetic and Potential Energy -- 1.6.2 Physical Exergy -- 1.6.3 Chemical Exergy -- 1.6.3.1 Standard Chemical Exergy -- 1.6.3.2 Chemical Exergy of Gas Mixtures -- 1.6.3.3 Chemical Exergy of Humid Air -- 1.6.3.4 Chemical Exergy of Liquid Water and Ice -- 1.6.3.5 Chemical Exergy for Absorption Chillers -- 1.6.4 Exergy Balance Equation -- 1.6.5 Exergy Efficiency -- 1.6.6 Procedure for Energy and Exergy Analyses -- 1.7 Concluding Remarks -- References -- Study Questions/Problems -- Chapter 2 Modeling and Optimization -- 2.1 Introduction -- 2.2 Modeling -- 2.2.1 Air compressors -- 2.2.2 Gas Turbines -- 2.2.3 Pumps -- 2.2.4 Closed Heat Exchanger -- 2.2.5 Combustion Chamber (CC) -- 2.2.6 Ejector -- 2.2.7 Flat Plate Solar Collector -- 2.2.8 Solar Photovoltaic Thermal (PV/T) System -- 2.2.9 Solar Photovoltaic Panel -- 2.3 Optimization -- 2.3.1 System Boundaries -- 2.3.2 Objective Functions and System Criteria -- 2.3.3 Decision Variables -- 2.3.4 Constraints -- 2.3.5 Optimization Methods -- 2.3.5.1 Classical Optimization -- 2.3.5.2 Numerical Optimization Methods -- 2.3.5.3 Evolutionary Algorithms -- 2.4 Multi-objective Optimization -- 2.4.1 Sample Applications of Multi-objective Optimization -- 2.4.1.1 Economics -- 2.4.1.2 Finance -- 2.4.1.3 Engineering. 2.4.2 Illustrative Example: Air Compressor Optimization -- 2.4.2.1 Thermodynamic and Economic Modeling and Analysis -- 2.4.2.2 Decision Variables -- 2.4.2.3 Constraints -- 2.4.2.4 Multi-objective Optimization -- 2.4.3 llustrative Example: Steam Turbine -- 2.4.3.1 Decision Variables -- 2.4.3.2 Constraints -- 2.4.3.3 Multi-objective Optimization -- 2.5 Concluding Remarks -- References -- Study Questions/Problems -- Chapter 3 Modeling and Optimization of Thermal Components -- 3.1 Introduction -- 3.2 Air Compressor -- 3.3 Steam Turbine -- 3.4 Pump -- 3.4.1 Modeling and Simulation of a Pump -- 3.4.2 Decision variables -- 3.4.3 Constraints -- 3.4.4 Multi-objective Optimization of a Pump -- 3.5 Combustion Chamber -- 3.5.1 Modeling and Analysis of a Combustion Chamber -- 3.5.1.1 Total Cost Rate -- 3.5.2 Decision Variables -- 3.5.3 Constraints -- 3.5.4 Multi-objective Optimization -- 3.6 Flat Plate Solar Collector -- 3.6.1 Modeling and Analysis of Collector -- 3.6.2 Decision Variables and Input Data -- 3.6.3 Constraints -- 3.6.4 Multi-objective Optimization -- 3.7 Ejector -- 3.7.1 Modeling and Analysis of an Ejector -- 3.7.2 Decision Variables and Constraints -- 3.7.3 Objective Functions and Optimization -- 3.8 Concluding Remarks -- References -- Study Questions/Problems -- Chapter 4 Modeling and Optimization of Heat Exchangers -- 4.1 Introduction -- 4.2 Types of Heat Exchangers -- 4.3 Modeling and Optimization of Shell and Tube Heat Exchangers -- 4.3.1 Modeling and Simulation -- 4.3.2 Optimization -- 4.3.2.1 Definition of Objective Functions -- 4.3.2.2 Decision Variables -- 4.3.3 Case Study -- 4.3.4 Model Verification -- 4.3.5 Optimization Results -- 4.3.6 Sensitivity Analysis Results -- 4.4 Modeling and Optimization of Cross Flow Plate Fin Heat Exchangers -- 4.4.1 Modeling and Simulation -- 4.4.2 Optimization -- 4.4.2.1 Decision Variables. 4.4.3 Case Study -- 4.4.4 Model Verification -- 4.4.5 Optimization Results -- 4.4.6 Sensitivity Analysis Results -- 4.5 Modeling and Optimization of Heat Recovery Steam Generators -- 4.5.1 Modeling and Simulation -- 4.5.2 Optimization -- 4.5.2.1 Decision Variables -- 4.5.3 Case Study -- 4.5.4 Modeling Verification -- 4.5.5 Optimization Results -- 4.5.6 Sensitivity Analysis Results -- 4.6 Concluding Remarks -- References -- Study Questions/Problems -- Chapter 5 Modeling and Optimization of Refrigeration Systems -- 5.1 Introduction -- 5.2 Vapor Compression Refrigeration Cycle -- 5.2.1 Thermodynamic Analysis -- 5.2.2 Exergy Analysis -- 5.2.3 Optimization -- 5.2.3.1 Decision Variables -- 5.2.3.2 Optimization Results -- 5.3 Cascade Refrigeration Systems -- 5.4 Absorption Chiller -- 5.4.1 Thermodynamic Analysis -- 5.4.2 Exergy Analysis -- 5.4.3 Exergoeconomic Analysis -- 5.4.4 Results and Discussion -- 5.4.4.1 Optimization -- 5.4.4.2 Optimization Results -- 5.5 Concluding Remarks -- References -- Study Questions/Problems -- Chapter 6 Modeling and Optimization of Heat Pump Systems -- 6.1 Introduction -- 6.2 Air/Water Heat Pump System -- 6.3 System Exergy Analysis -- 6.4 Energy and Exergy Results -- 6.5 Optimization -- 6.6 Concluding Remarks -- Reference -- Study Questions/Problems -- Chapter 7 Modeling and Optimization of Fuel Cell Systems -- 7.1 Introduction -- 7.2 Thermodynamics of Fuel Cells -- 7.2.1 Gibbs Function -- 7.2.2 Reversible Cell Potential -- 7.3 PEM Fuel Cell Modeling -- 7.3.1 Exergy and Exergoeconomic Analyses -- 7.3.2 Multi-objective Optimization of a PEM Fuel Cell System -- 7.4 SOFC Modeling -- 7.4.1 Mathematical Model -- 7.4.2 Cost Analysis -- 7.4.3 Optimization -- 7.5 Concluding Remarks -- References -- Study Questions/Problems -- Chapter 8 Modeling and Optimization of Renewable Energy Based Systems -- 8.1 Introduction. 8.2 Ocean Thermal Energy Conversion (OTEC) -- 8.2.1 Thermodynamic Modeling of OTEC -- 8.2.1.1 Flat Plate Solar Collector -- 8.2.1.2 Organic Rankine Cycle (ORC) -- 8.2.1.3 PEM Electrolyzer -- 8.2.2 Thermochemical Modeling of a PEM Electrolyzer -- 8.2.3 Exergy Analysis -- 8.2.4 Efficiencies -- 8.2.4.1 Exergy Efficiency -- 8.2.5 Exergoeconomic Analysis -- 8.2.5.1 Flat Plate Solar Collector in OTEC Cycle -- 8.2.5.2 OTEC Cycle -- 8.2.6 Results and Discussion -- 8.2.6.1 Modeling Validation and Simulation Code Results -- 8.2.6.2 Exergy Analysis Results -- 8.2.7 Multi-objective Optimization -- 8.2.7.1 Objectives -- 8.2.7.2 Decision Variables -- 8.2.8 Optimization Results -- 8.3 Solar Based Energy System -- 8.3.1 Thermodynamic Analysis -- 8.3.2 Exergoeconomic Analysis -- 8.3.3 Results and Discussion -- 8.3.3.1 Exergoeconomic Results -- 8.3.4 Sensitivity Analysis -- 8.3.5 Optimization -- 8.3.6 Optimization Results -- 8.4 Hybrid Wind-Photovoltaic-Battery System -- 8.4.1 Modeling -- 8.4.1.1 Photovoltaic (PV) Panel -- 8.4.1.2 Wind Turbine (WT) -- 8.4.1.3 Battery -- 8.4.2 Objective Function, Design Parameters, and Constraints -- 8.4.3 Real Parameter Genetic Algorithm -- 8.4.4 Case Study -- 8.4.5 Results and Discussion -- 8.5 Concluding Remarks -- References -- Study Questions/Problems -- Chapter 9 Modeling and Optimization of Power Plants -- 9.1 Introduction -- 9.2 Steam Power Plants -- 9.2.1 Modeling and Analysis -- 9.2.2 Objective Functions, Design Parameters, and Constraints -- 9.3 Gas Turbine Power Plants -- 9.3.1 Thermodynamic Modeling -- 9.3.1.1 Air Compressor -- 9.3.1.2 Air Preheater (AP) -- 9.3.1.3 Combustion Chamber (CC) -- 9.3.1.4 Gas Turbine -- 9.3.2 Exergy and Exergoeconomic Analyses -- 9.3.3 Environmental Impact Assessment -- 9.3.4 Optimization -- 9.3.4.1 Definition of Objective Functions -- 9.3.4.2 Decision Variables -- 9.3.4.3 Model Validation. 9.3.5 Results and Discussion -- 9.3.6 Sensitivity Analysis -- 9.3.7 Summary -- 9.4 Combined Cycle Power Plants -- 9.4.1 Thermodynamic Modeling -- 9.4.1.1 Duct Burner -- 9.4.1.2 Heat Recovery Steam Generator (HRSG) -- 9.4.1.3 Steam Turbine (ST) -- 9.4.1.4 Condenser -- 9.4.1.5 Pump -- 9.4.2 Exergy Analysis -- 9.4.3 Optimization -- 9.4.3.1 Definition of Objectives -- 9.4.3.2 Decision Variables -- 9.4.3.3 Constraints -- 9.4.4 Results and Discussion -- 9.5 Concluding Remarks -- References -- Study Questions/Problems -- Chapter 10 Modeling and Optimization of Cogeneration and Trigeneration Systems -- 10.1 Introduction -- 10.2 Gas Turbine Based CHP System -- 10.2.1 Thermodynamic Modeling and Analyses -- 10.2.1.1 Air Preheater -- 10.2.1.2 Heat Recovery Steam Generator (HRSG) -- 10.2.2 Optimization -- 10.2.2.1 Single Objective Optimization -- 10.2.2.2 Multi-objective Optimization -- 10.2.2.3 Optimization Results -- 10.3 Internal Combustion Engine (ICE) Cogeneration Systems -- 10.3.1 Selection of Working Fluids -- 10.3.2 Thermodynamic Modeling and Analysis -- 10.3.2.1 Internal Combustion Engine -- 10.3.2.2 Organic Rankine Cycle -- 10.3.2.3 Ejector Refrigeration Cycle (ERC) -- 10.3.3 Exergy Analysis -- 10.3.4 Optimization -- 10.3.4.1 Decision Variables -- 10.3.4.2 Multi-objective optimization -- 10.4 Micro Gas Turbine Trigeneration System -- 10.4.1 Thermodynamic Modeling -- 10.4.1.1 Topping Cycle (Brayton Cycle) -- 10.4.1.2 Bottoming Cycle -- 10.4.1.3 Absorption Chiller -- 10.4.1.4 Domestic Water Heater -- 10.4.2 Exergy Analysis -- 10.4.3 Optimization -- 10.4.3.1 Definition of Objectives -- 10.4.3.2 Decision Variables -- 10.4.3.3 Evolutionary Algorithm: Genetic Algorithm -- 10.4.4 Optimization Results -- 10.4.5 Sensitivity Analysis -- 10.5 Biomass Based Trigeneration System -- 10.5.1 Thermodynamic Modeling -- 10.5.1.1 Gasifier. 10.5.1.2 Multi-effect Desalination Unit. EBL201708 SzGeCERN Engineering BOOK Ahmadi, Pouria https://cds.cern.ch/auth.py?r=EBLIB_P_4856145 ebook 201708 n 201732 21 PUBLIC https://catalogue.library.cern/legacy/2278081 BOOK MIGRATED 2278076 SzGeCERN 20210421210723.0 9780128053904 9780128093436 0128093439 oai:cds.cern.ch:2278076 cerncds:BOOK SAFARI 9780128093436 eng 004.019 Lazar, Jonathan Research methods in human-computer interaction 2nd ed. San Francisco, CA Elsevier Science 2017 562 p ebook Front Cover -- Research Methods in Human-Computer Interaction -- Copyright -- Critical Acclaim for Research Methods in Human Computer Interaction, Second Edition -- Contents -- About the Authors -- Foreword -- Preface -- Acknowledgments -- Chapter 1: Introduction to HCI research -- 1.1 Introduction -- 1.1.1 History Of HCI -- 1.2 Types of HCI Research Contributions -- 1.3 Changes in topics of HCI research over time -- 1.4 Changes in HCI research methods over time -- 1.5 Understanding HCI research methods and measurement -- 1.6 The nature of interdisciplinary research in HCI -- 1.7 Who is the audience for your research? -- 1.8 Understanding one research project in the context of related research -- 1.9 Inherent trade-offs in HCI -- 1.10 Summary of Chapters -- References -- Chapter 2: Experimental research -- 2.1 Types of Behavioral Research -- 2.2 Research Hypotheses -- 2.2.1 Null Hypothesis and Alternative Hypothesis -- 2.2.2 Dependent and Independent Variables -- 2.2.3 Typical Independent Variables in HCI Research -- 2.2.4 Typical Dependent Variables in HCI Research -- 2.3 Basics of Experimental Research -- 2.3.1 Components of an Experiment -- 2.3.2 Randomization -- 2.4 Significance Tests -- 2.4.1 Why Do We Need Them? -- 2.4.2 Type I and Type II Errors -- 2.4.3 Controlling the Risks of Type I and Type II Errors -- 2.5 Limitations of Experimental Research -- 2.6 Summary -- References -- Chapter 3: Experimental design -- 3.1 What Needs to be Considered When Designing Experiments? -- 3.2 Determining the Basic Design Structure -- 3.3 Investigating a Single Independent Variable -- 3.3.1 Between-Group Design and Within-Group Design -- 3.3.1.1 Advantages and disadvantages of between-group design -- 3.3.1.2 Advantages and disadvantages of within-group design -- 3.3.1.3 Comparison of between-group and within-group designs. 3.3.2 Choosing the Appropriate Design Approach -- 3.3.2.1 Between-group design -- 3.3.2.2 Within-group design -- 3.4 Investigating More Than One Independent Variable -- 3.4.1 Factorial Design -- 3.4.2 Split-Plot Design -- 3.4.3 Interaction Effects -- 3.5 Reliability of Experimental Results -- 3.5.1 Random Errors -- 3.5.2 Systematic Errors -- 3.5.2.1 Bias caused by measurement instruments -- 3.5.2.2 Bias caused by experimental procedures -- 3.5.2.3 Bias caused by participants -- 3.5.2.4 Bias due to experimenter behavior -- 3.5.2.5 Bias due to environmental factors -- 3.6 Experimental Procedures -- 3.7 Summary -- References -- Chapter 4: Statistical analysis -- 4.1 Preparing Data for Statistical Analysis -- 4.1.1 Cleaning Up Data -- 4.1.2 Coding Data -- 4.1.3 Organizing Data -- 4.2 Descriptive Statistics -- 4.2.1 Measures of Central Tendency -- 4.2.2 Measures of Spread -- 4.3 Comparing Means -- 4.4 t Tests -- 4.4.1 Independent-Samples t Test -- 4.4.2 Paired-Samples t Test -- 4.4.3 Interpretation of t Test Results -- 4.4.4 Two-Tailed t Tests and One-Tailed t Tests -- 4.5 Analysis of Variance -- 4.5.1 One-Way ANOVA -- 4.5.2 Factorial ANOVA -- 4.5.3 Repeated Measures ANOVA -- 4.5.4 ANOVA for Split-Plot Design -- 4.6 Assumptions of t Tests and F Tests -- 4.7 Identifying Relationships -- 4.7.1 Correlation -- 4.7.2 Regression -- 4.8 Nonparametric Statistical Tests -- 4.8.1 Chi-Squared Test -- 4.8.2 Other Nonparametric Tests -- 4.9 Summary -- References -- Chapter 5: Surveys -- 5.1 Introduction -- 5.2 Benefits and Drawbacks of Surveys -- 5.3 Goals and Targeted Users for Survey Research -- 5.4 Probabilistic Sampling -- 5.4.1 Stratification -- 5.4.2 Response Size -- 5.4.3 Errors -- 5.5 Nonprobabilistic Sampling -- 5.5.1 Demographic Data -- 5.5.2 Oversampling -- 5.5.3 Random Sampling of Usage, Not Users -- 5.5.4 Self-Selected Surveys. 5.5.5 Uninvestigated Populations -- 5.6 Developing Survey Questions -- 5.6.1 Open-Ended Questions -- 5.6.2 Closed-Ended Questions -- 5.6.3 Common Problems With Survey Questions -- 5.7 Overall Survey Structure -- 5.8 Existing Surveys -- 5.9 Paper or Online Surveys? -- 5.10 Pilot Testing the Survey Tool -- 5.11 Response Rate -- 5.12 Data Analysis -- 5.13 Summary -- References -- Chapter 6: Diaries -- 6.1 Introduction -- 6.2 Why do we use diaries in HCI research? -- 6.3 Participants for a diary study -- 6.4 What Type of Diary? -- 6.4.1 Feedback Diary -- 6.4.2 Elicitation Diary -- 6.4.3 Hybrid Feedback and Elicitation Diary -- 6.5 Data Collection for the Diary Study -- 6.6 Letting Participants Know When to Record a Diary Entry -- 6.7 Analysis of Diaries -- 6.8 Summary -- References -- Chapter 7: Case studies -- 7.1 Introduction -- 7.2 Observing Sara: A Case Study of a Case Study -- 7.3 What is a Case Study? -- 7.3.1 In-Depth Investigation of a Small Number of Cases -- 7.3.2 Examination in Context -- 7.3.3 Multiple Data Sources -- 7.3.4 Emphasis on Qualitative Data and Analysis -- 7.4 goals of hci case studies -- 7.4.1 Exploration -- 7.4.2 Explanation -- 7.4.3 Description -- 7.4.4 Demonstration -- 7.5 Types of Case Study -- 7.5.1 Intrinsic or Instrumental -- 7.5.2 Single Case or Multiple Cases -- 7.5.3 Embedded or Holistic -- 7.6 Research Questions and Hypotheses -- 7.7 Choosing Cases -- 7.8 Data Collection -- 7.8.1 Data Sources and Questions -- 7.8.2 Collecting Data -- 7.9 Analysis and Interpretation -- 7.10 Writing Up the Study -- 7.11 Informal Case Studies -- 7.12 SUMMARY -- References -- Chapter 8: Interviews and focus groups -- 8.1 Introduction -- 8.2 Pros and Cons of Interviews -- 8.3 Applications of Interviews in HCI Research -- 8.3.1 Initial Exploration -- 8.3.2 Requirements Gathering -- 8.3.3 Evaluation and Subjective Reactions. 8.4 Who to Interview -- 8.5 Interview Strategies -- 8.5.1 How Much Structure? -- 8.5.2 Focused and Contextual Interviews -- 8.6 Interviews vs Focus Groups -- 8.7 Types of Questions -- 8.8 Conducting an Interview -- 8.8.1 Preparation -- 8.8.2 Recording the Responses -- 8.8.3 During the Interview -- 8.8.3.1 Rapport -- 8.8.3.2 The introduction -- 8.8.3.3 Getting down to business -- 8.8.3.4 Promoting discussion -- 8.8.3.5 Debriefing -- 8.9 Electronically Mediated Interviews and Focus Groups -- 8.9.1 Telephone -- 8.9.2 Online -- 8.10 Analyzing Interview Data -- 8.10.1 What to Analyze -- 8.10.2 How to Analyze -- 8.10.3 Validity -- 8.10.4 Reporting Results -- 8.11 Summary -- References -- Chapter 9: Ethnography -- 9.1 Introduction -- 9.2 What is Ethnography? -- 9.3 Ethnography in HCI -- 9.4 Conducting Ethnographic Research -- 9.4.1 Selecting a Site or Group of Interest -- 9.4.2 Participating: Choosing a Role -- 9.4.3 Building Relationships -- 9.4.4 Making Contact -- 9.4.5 Interviewing, Observing, Analyzing, Repeating, and Theorizing -- 9.4.6 Reporting Results -- 9.5 Some Examples -- 9.5.1 Home Settings -- 9.5.2 Work Settings -- 9.5.3 Educational Settings -- 9.5.4 Ethnographies of Mobile and Ubiquitous Systems -- 9.5.5 Virtual Ethnography -- 9.6 Summary -- References -- Chapter 10: Usability testing -- 10.1 Introduction -- 10.2 What is Usability Testing? -- 10.3 How Does Usability Testing Relate to "Traditional" Research? -- 10.4 Types of Usability Testing or Usability Inspections -- 10.4.1 Expert-Based Testing -- 10.4.2 Automated Usability Testing -- 10.5 THE PROCESS OF User-Based Testing -- 10.5.1 Formative and Summative Usability Testing -- 10.5.2 Stages of Usability Testing -- 10.5.3 How Many Users are Sufficient? -- 10.5.4 Locations for Usability Testing -- 10.5.5 Task Lists -- 10.5.6 Measurement -- 10.5.7 The Usability Testing Session. 10.5.8 Making Sense of the Data -- 10.6 Other Variations on Usability Testing -- 10.7 Summary -- References -- Chapter 11: Analyzing qualitative data -- 11.1 Introduction -- 11.2 Goals and Stages of Qualitative Analysis -- 11.3 Content Analysis -- 11.3.1 What is Content? -- 11.3.2 Questions to Consider Before Content Analysis -- 11.4 Analyzing Text Content -- 11.4.1 Coding Schemes -- 11.4.1.1 Grounded theory and emergent coding -- 11.4.1.2 A priori coding and theoretical frameworks -- 11.4.1.3 Building a code structure -- 11.4.2 Coding the Text -- 11.4.2.1 Look for key items -- 11.4.2.2 Ask questions about the data -- 11.4.2.3 Making comparisons of data -- 11.4.2.4 Recording the codes -- 11.4.2.5 Iterating and refining -- 11.4.3 Ensuring High-Quality Analysis -- 11.4.3.1 Validity -- 11.4.3.2 Reliability -- 11.4.3.3 Subjective versus objective coders -- 11.5 Analyzing Multimedia Content -- 11.6 Summary -- References -- Chapter 12: Automated data collection methods -- 12.1 Introduction -- 12.2 Existing Tools -- 12.2.1 Web Logs -- 12.2.1.1 Web log contents -- 12.2.1.2 Web usability/design research -- 12.2.1.3 Empirical studies -- 12.2.2 Stored Application Data -- 12.3 Activity-Logging Software -- 12.3.1 Web Proxies and Interaction Loggers -- 12.3.2 Keystroke and Activity Loggers -- 12.3.3 Interaction Recording Tools -- 12.4 Custom Software -- 12.4.1 Instrumented Software -- 12.4.2 Research Software -- 12.5 Hybrid Data Collection Methods -- 12.6 Data Management and Analysis -- 12.6.1 Handling Stored Data -- 12.6.2 Analyzing Log Files -- 12.7 Automated Interface Evaluation -- 12.8 Challenges of Computerized Data Collection -- 12.9 Summary -- References -- Chapter 13: Measuring the human -- 13.1 Introduction -- 13.2 Eye Tracking -- 13.2.1 Background -- 13.2.2 Applications -- 13.3 Motion and Position Tracking -- 13.3.1 Muscular and Skeletal Position Sensing. 13.3.2 Motion Tracking for Large Displays and Virtual Environments. SAF201710 EBLlink deleted SzGeCERN Computing and Computers BOOK Feng, Jinjuan Heidi Hochheiser, Harry https://learning.oreilly.com/library/view/-/9780128093436/?ar ebook 201708 n 201732 21 PUBLIC https://catalogue.library.cern/legacy/2278076 BOOK MIGRATED 2278064 SzGeCERN 20180612223803.0 9781315279633 (electronic bk.) electronic version 9781482237597 electronic version EBL 4793205 eng QD578.C468 2017 541.351 Chouhan, Neelu Photochemical water splitting materials and applications Boca Raton, FL CRC Press 2017 379 p Electrochemical energy storage and conversion Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Series Preface -- Preface -- Introduction -- Authors -- Chapter 1: Introduction to Hydrogen as a Green Fuel -- 1.1 Introduction -- 1.2 Current Energy Scenario -- 1.3 Fuel: Past, Present, and Future -- 1.4 Hydrogen as a Chemical Fuel -- 1.5 the Hydrogen Economy -- 1.6 Hydrogen Production -- 1.6.1 Oxidative Process -- 1.6.1.1 Steam Methane Reforming -- 1.6.1.2 Autothermal Reforming -- 1.6.1.3 Partial Oxidation -- 1.6.1.4 Combined Reforming -- 1.6.1.5 Steam Iron Reforming -- 1.6.1.6 Dry (CO2) Reforming of CH4 -- 1.6.1.7 Plasma Reforming -- 1.6.1.8 Photoproduction of Hydrogen from Hydrocarbons -- 1.6.2 Nonoxidative Process -- 1.6.2.1 Thermal Decomposition -- 1.6.2.2 Metal-Catalyzed Decomposition of Methane -- 1.6.2.3 Simultaneous Production of Hydrogen and Filamentous Carbon -- 1.6.2.4 Carbon-Catalyzed Decomposition of Methane -- 1.6.2.5 Catalytic Decomposition of Methane for FC Applications -- 1.6.2.6 Methane Decomposition Using Nuclear and Solar Energy Input -- 1.6.2.7 Plasma-Assisted Decomposition of Hydrocarbons -- 1.7 Hydrogen and Its Applications -- 1.7.1 Portable -- 1.7.2 Stationary -- 1.7.3 Transportation -- 1.7.4 Uses as a Chemical -- 1.8 Environmental Effects of Hydrogen -- 1.8.1 Health Hazards -- 1.8.2 Physical Hazards -- 1.8.3 Chemical Hazards -- 1.8.3.1 Effect to Ozone Layer -- 1.8.3.2 Greenhouse Effect -- 1.8.4 Environmental Hazards of Hydrogen -- 1.9 Hydrogen Safety -- 1.10 Summary -- References -- Chapter 2: Concepts in Photochemical Water Splitting -- 2.1 Introduction -- 2.2 Artificial Photosynthesis -- 2.2.1 Carbon Dioxide Reduction -- 2.2.2 Water Spliting -- 2.3 Electrochemistry of Water Splitting -- 2.3.1 Thermodynamic and Electrochemical Aspects of Water Splitting -- 2.3.2 Oxygen Evolution Reaction. 2.3.3 Hydrogen Evolution Reaction -- 2.4 Criteria for the Selection of Photocatalytic Material -- 2.5 Overpotential -- 2.6 Band Gap and Band Edge Position in Photocatalytic Materials -- 2.7 Band Edge Bending: Semiconductor/Electrolyte Interface Reactions -- 2.8 Efficiency (Solar to Hydrogen Conversion, Turnover Number, Quantum Yield, Photoconversion Efficiency, Incident Photon-to-Current Efficiency [%], Absorbed Photon-to-Current Efficiency) -- 2.8.1 Turnover Number -- 2.8.2 Incident Photon-to-Current Efficiencies -- 2.8.3 Absorbed Photon-to-Current Efficiency -- 2.8.4 Solar-to-Hydrogen Conversion Efficiency -- 2.8.5 Quantum Efficiency -- 2.9 Excitonic Binding Energy -- 2.10 Diffusion Length -- 2.11 Carrier Mobility and Penetration in Photocatalysts -- 2.11.1 Electrical Conductivity and Mobility -- 2.11.2 Temperature Dependence of Mobility -- 2.11.3 Mobility versus Diffusion -- 2.11.4 Doping Dependence of Electron Mobility and Hole Mobility -- 2.12 Summary -- References -- Chapter 3: Water-Splitting Technologies for Hydrogen Generation -- 3.1 Introduction -- 3.2 Electrolytic Water Splitting -- 3.2.1 PEM Electrolyzer -- 3.2.2 Alkaline Electrolyzers -- 3.2.3 Acid Electrolyzers -- 3.2.4 Solid Oxide Electrolyzers -- 3.3 Biophotocatalytic Water Splitting -- 3.4 Thermochemical Water Splitting -- 3.4.1 Thermodynamics of Thermochemical Water Splitting -- 3.4.2 Single-Step Cycle -- 3.4.3 Two-Step Cycle -- 3.4.4 Three-Step Cycle -- 3.4.5 K-Step Cycle -- 3.4.6 Hybrid Cycle -- 3.5 Mechanocatalytic Water Splitting -- 3.6 Plasmolytic Water Splitting -- 3.7 Magnetolysis of Water -- 3.8 Radiolysis of Water -- 3.9 Photocatalytic Water Splitting -- 3.10 Photoelectrocatalytic Water Splitting -- 3.10.1 Types of PEC Devices -- 3.10.1.1 Direct PEC or Photosynthetic Cells -- 3.10.1.2 Biased PEC Devices -- 3.10.1.3 PV Cell. 3.10.1.3 PV Electrolysis Cell or Regenerative Cell -- 3.10.1.4 Photogalvanic/Concentration Cells -- 3.10.2 Challenges and Future of PEC Hydrogen Generation -- 3.11 Summary -- References -- Chapter 4: Electrochemical Water Splitting -- 4.1 Introduction to Photoelectrochemical Water Splitting -- 4.1.1 Photoelectrochemical (PEC) Water Splitting -- 4.1.2 Factors Affecting Efficiency of the PEC -- 4.1.2.1 Electrode Material -- 4.1.2.2 Effect of Temperature -- 4.1.2.3 Effect of Pressure -- 4.1.2.4 Electrolyte Quality and Electrolyte Resistance -- 4.1.2.5 Size, Alignment, and Space Between the Electrodes -- 4.1.2.6 Forcing the Bubbles to Leave -- 4.1.2.7 Separator Material -- 4.2 Semiconducting Photoelectrode Materials -- 4.2.1 Electron Transfer Phenomenon -- 4.2.2 Material and Energetic Requirements -- 4.2.3 Sensitizers and Photocatalyst -- 4.2.4 PEC Components in Action for the Water-Splitting Process -- 4.2.4.1 Amouyal Model -- 4.2.4.2 Kostov et al.'s Model -- 4.2.4.3 Ulleberg Model -- 4.3 Reactor Design and Operation (Experiment Setup) -- 4.3.1 Gradient/Bias-Based Reactor -- 4.3.2 Reactors Based on Suspension and Electrode Type -- 4.3.2.1 Type 1 -- 4.3.2.2 Type 2 -- 4.3.2.3 Type 3 -- 4.3.2.4 Type 4 -- 4.3.3 Miscellaneous Reactor Types -- 4.4 Efficiency of Water Splitting -- 4.5 Challenges and Perspectives -- 4.6 Summary -- References -- Chapter 5: Oxide Semiconductors (ZnO, TiO2, Fe2O3, WO3, etc.) as Photocatalysts for Water Splitting -- 5.1 Introduction -- 5.2 Design of Metal Oxide Photocatalysts with Visible Light Response (Effect of Morphology of Semiconductor and Reaction Mechanism of Photoelectrodes) -- 5.2.1 Effect of Morphology of Semiconductor -- 5.2.1.1 Design of Photocatalyst at Nanoscale -- 5.2.1.2 Unique Aspects of Nanotechnology. 5.2.2 Reaction Mechanism of Typical Oxide Photoelectrodes -- 5.2.2.1 TiO2 -- 5.2.2.2 ZnO -- 5.3 Doped Photocatalysts -- 5.4 QD-Sensitized Metal Oxide Photocatalysts -- 5.5 Plasmonic Material-Induced Metal Oxide Photocatalysts -- 5.5.1 Adverse Effects of Metal Nanoparticles -- 5.6 Z-Scheme Photocatalysts -- 5.7 Metal Ion-Incorporated Metal Oxide -- 5.7.1 Tantalate Photocatalysts -- 5.7.2 Vanadate Photocatalysts -- 5.7.3 Titanate Photocatalysts -- 5.7.4 Niobate Photocatalysts -- 5.7.5 Tungstate Photocatalysts -- 5.7.6 Other Oxide Photocatalysts -- 5.7.6.1 Graphene Oxide -- 5.7.6.2 Complex Perovskite Materials -- 5.7.6.3 Mixed Oxides -- 5.8 Oxide Photocatalysts: Challenges and Perspectives -- 5.9 Summary -- References -- Chapter 6: Fundamental Understanding of the Photocatalytic Mechanisms -- 6.1 Introduction -- 6.2 Mechanism of Photocatalytic Cleavage of Water in Electrolytes (Electron Scavenger and Hole Scavenger) -- 6.2.1 Scavengers or Sacrificial Electrolytes -- 6.3 Photocorrosion -- 6.3.1 Chemical Passivation for Photocorrosion Protection -- 6.4 Mechanism of Heterogeneous Electrocatalysis -- 6.5 Mechanism of Homogeneous Molecular Catalysis -- 6.5.1 Tetramanganese-Oxo Cluster Complex for O2 Generation -- 6.5.2 Ruthenium Complexes for O2 Generation -- 6.5.3 Manganese Porphyrin Dimer Complexes for O2 Generation -- 6.5.4 Dinuclear CoIII-Pyridylmethylamine Complex for O2 Generation -- 6.5.5 Homogenous Metal Complex for Hydrogen Generation through Water Splitting -- 6.6 Bridging the Gap Between Heterogeneous Electrocatalysis and Homogeneous Molecular Catalysis -- 6.6.1 Solid-Liquid -- 6.6.2 Solid-Gas -- 6.6.3 Liquid-Liquid System -- 6.6.4 Fluorous Catalysts. 6.6.5 Liquid Poly(Ethylene Glycol) and Supercritical Carbon Dioxide: A Benign Biphasic Solvent System -- 6.6.6 Ionic Liquid-Immobilized Nanomaterials -- 6.6.7 Phase-Boundary Catalyst -- 6.6.8 Examples -- 6.7 Role of Metallic/Metallic Hydroxide Cocatalyst in Hydrogen Evolution Reaction/Oxygen Evolution Reaction -- 6.7.1 Metallic Cocatalyst -- 6.7.2 Roles of Hydroxyl Cocatalysts in Photocatalytic Water Splitting -- 6.8 Nature/Role of the Active Sites on a Catalyst's Surface -- 6.9 Conceptual Advancement (Model) of the Active Materials for Hydrogen Generation through Water Splitting -- 6.9.1 Binary-Layered Metals with Extended Light Harvesting Power -- 6.9.2 Bridging Structures for Water Splitting -- 6.9.3 Oxygen Activity and Active Surface Sites for Water Splitting -- 6.9.4 Intrinsic Kinetic Reactor Model for Photocatalytic Hydrogen Production Using Cadmium Zinc Sulfide Catalyst in Sulfide and Sulfite Electrolyte -- 6.9.5 Remedial Treatment for Improving Efficiency by Improvement in Catalytic Activity of the Nanoparticles by Synthesizing Them in Ionic Liquids -- 6.9.6 Addition of Carbonate Salts to Suppress Backward Reaction -- 6.9.7 Design of Active and Stable Chalcogels -- 6.10 Summary -- References -- Chapter 7: Nanostructured Semiconducting Materials for Water Splitting -- 7.1 Introduction -- 7.2 Nanomaterial Structure, Energetic Transport Dynamics, and Material Design -- 7.2.1 Devices with Different Energetic Transport Dynamics -- 7.2.1.1 Solar or PV Cell -- 7.2.1.2 Thin-Film PVS -- 7.2.1.3 Wet-Chemical Photosynthesis -- 7.2.1.4 Photoelectrolysis -- 7.2.2 Interfacial Electron-Transfer Reactions by Nanomaterials -- 7.2.3 Aspects of the Material Design -- 7.2.3.1 Surface Passivation -- 7.2.3.2 Development of New Oxide or Nonoxide or Semioxide Materials -- 7.2.3.3 Nonmetal Oxide and Nonoxide Metals. 7.2.3.4 Nanostructuring. Liu, Ru-Shi Zhang, Jiujun 9781482237597 print version oai:cds.cern.ch:2278064 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4793205 ebook ebook EBL201708 Chemical Physics and Chemistry SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2278045 SzGeCERN 20210421210726.0 9783319402642 print version 9783319402659 electronic version electronic version oai:cds.cern.ch:2278045 cerncds:BOOK EBL 4614794 eng HF4999.2-6182 005.7 Caporarello, Leonardo Digitally supported innovation a multi-disciplinary view on enterprise, public sector and user innovation Cham Springer 2016 307 p ebook Lecture notes in information systems and organisation 18 Contents -- 1 Introduction by the Editors -- Abstract -- 1 Digitalisation as Enabler for Innovating and Innovations -- 2 Part I: Innovative ICT Enablers in Use on Organisational Level -- 3 Part II: Specific ICT Enablers in Use for Innovation -- 4 Part III: Implementing Innovative ICT Enablers -- 5 Part IV: Innovating Novel ICT Solutions -- References -- Innovative ICT Enablers in Use on Organisational Level -- 2 Empowering IT Organizations' Capabilities of Emerging Technology Integration Through User Participation in Innovations Based on IT -- Abstract -- 1 Introduction -- 2 Background -- 2.1 IT/IS Integration -- 2.2 User Involvement in IT Integration -- 2.3 IT Organizational Capabilities -- 3 Methodology -- 3.1 Site Selection -- 3.2 Data Collection -- 3.3 Data Analysis -- 4 Findings -- 5 Discussion -- 5.1 Enhancing Exploitation Capability -- 5.2 Improving Learning Capability -- 5.3 Bolstering Innovation Capability -- 6 Conclusion -- 7 Limitations -- References -- 3 How and for What Purposes Global Food Brands Use Online Contests: Entertainment or Innovation? -- Abstract -- 1 Introduction -- 2 Research Methodology -- 3 Findings -- 3.1 Entertainment -- 3.2 Ideation -- 4 Discussion and Preliminary Conclusions -- Appendix -- References -- 4 Future Internet: Cloud-Based Open Business Models -- Abstract -- 1 Introduction -- 2 Theoretical Background -- 3 Research Design -- 4 FIWARE Architecture and Philosophy -- 4.1 The FIWARE EcoSystem -- 4.2 Business Domains in FIWARE EcoSystem -- 4.3 Identifying Business Models of Participants to the FIWARE Initiative -- 5 Discussion and Conclusions -- References -- 5 Potential Benefits of the Deep Web for SMEs -- Abstract -- 1 Introduction -- 2 Deep Web Background -- 2.1 Business Background -- 3 Method and Findings -- 3.1 Initial Research -- 3.2 Primary Research Selection Criteria -- 3.3 Method -- 4 Findings. 5 Individual Professional Practices -- 6 Conclusion -- References -- Specific ICT Enablers in Use for Innovation -- 6 New Design Techniques for New Users: An Action Research-Based Approach -- Abstract -- 1 Introduction -- 2 The Organizational Situation -- 3 The Cyclical Process -- 4 Reflections on the CAR Project -- 5 Conclusion -- References -- 7 Context and Action: A Unitary Vision Within a Logic-Based Multi-agent Environment -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Logical Agents and DALI -- 2.2 Answer Set Programming in a Nutshell -- 3 The DALI Explorer -- 3.1 The General Exploration Principles -- 3.2 The MAS Architecture -- 3.3 ASP Problem Definition -- 4 Conclusions and Future Work -- References -- 8 From Care for Design to Becoming Matters: New Perspectives for the Development of Socio-technical Systems -- Abstract -- 1 Introduction -- 2 Why We Should Care About Care -- 3 The Feminine and the Differences that Matter -- 4 Some Implications for (De-)Design -- 5 Conclusions -- References -- 9 Redefining the Mutual Positions of the Social and Technical Sides of Socio-Technical Systems -- Abstract -- 1 Introduction -- 2 Socio-Technical Design of Information Systems -- 2.1 Phase 1-Mainframes and Minis -- 2.2 Phase 2-Personal Computers -- 2.3 Phase 3-Ubiquitous and Mobile Computing -- 3 CSCW and the Situated Action Perspective -- 4 Towards Situated Computing -- 5 Conclusion -- Acknowledgments -- References -- 10 Co-production Through ICT in the Public Sector: When Citizens Reframe the Production of Public Services -- Abstract -- 1 Introduction and Context -- 2 Co-production Through ICT -- 3 Co-production Through ICT According to the Public Value Perspective -- 4 ICT for Co-production Is Changing the Public Administration -- 5 Implementing Co-production in the Public Administration -- 6 Conclusions -- References. 11 3-D Printing in the Spare Parts Supply Chain: An Explorative Study in the Automotive Industry -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Additive Manufacturing and 3-D Printing -- 2.2 Production Process -- 2.3 Actual Applications and Leading Industrial Sectors -- 3 Business Impact: Actual and Potential Advantages and Disadvantages of AM Technologies -- 3.1 3-D Printing Versus Mass Customization -- 4 Research Design -- 5 Conclusions and Future Research Directions -- References -- 12 4D Printing: An Emerging Technology in Manufacturing? -- Abstract -- 1 Introduction -- 2 Methodology -- 3 The Fourth Dimension -- 4 Conclusions -- References -- Implementing Innovative ICT Enablers -- 13 How to Manage the Application Portfolio Over Time: A Qualitative Analysis -- Abstract -- 1 Introduction -- 2 Research Project Description -- 3 Main Findings and Contributions -- 4 Conclusions -- References -- 14 Marks & Spencer's RFID Initiative: Laying the Foundation for Omnichannel Retailing -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 RFID and Retailing and Omni-Channel Retailing -- 2.2 Marks & Spencer RFID Initiative: Background -- 2.3 Structurational Model of Technology -- 3 Research Method -- 4 Research Findings -- 4.1 Structure of Signification -- 4.2 Structure of Domination -- 4.3 Structure of Legitimation -- 4.4 Social Consequences of RFID System at Marks & Spencer -- 4.4.1 Social structure and social consequences of IT -- 4.4.2 Action and social consequences of IT -- 5 Conclusions and Future Research Direction -- References -- 15 M-Health and Self Care Management in Chronic Diseases-Territorial Intelligence Can Make the Difference -- Abstract -- 1 Introduction -- 2 Discovering New Process Models to Support Patients' Empowerment -- 3 A Mobile Health Solution in a Spatially Enabled Territory. 3.1 The Metadata Collection Framework -- 3.2 Interface Design to Enhance User's Experience -- 3.2.1 Diabetes' Selfcare -- 3.2.2 Empowerment -- 3.2.3 Territorial Intelligence -- 4 Experimental Usability Evaluation and Future Work -- References -- 16 Enforcing Software Developers' Productivity by Using Knowledge and Experience -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Proposed Approach -- 3.1 Knowledge Experience Package Structure -- 3.2 Attributes -- 3.3 Knowledge Contents -- 4 Investigation Planning -- 4.1 Research Goal -- 4.2 Variables -- 4.3 Investigation Design -- 4.4 Selection of Experimental Subjects -- 5 Executing the Investigation -- 5.1 Material and Instrumentation -- 5.2 Measurement Model -- 6 Experimental Results -- 7 Conclusions and Future Works -- References -- 17 Digital Services for New Model of Sustainable Mobility -- Abstract -- 1 Introduction -- 2 Changing the Modality to Live Mobility -- 2.1 Car Sharing -- 2.2 Uber App -- 3 Role of Technology -- 4 Environmental and Economic Aspects -- 5 Conclusions -- References -- Innovating Novel ICT Solutions -- 18 Towards a Design Pattern Language to Assist the Design of Alarm Visualizations for Operating Control Systems -- Abstract -- 1 Introduction -- 2 Background -- 3 A Design Pattern Language for Alarm Visualization Design -- 3.1 The Design Patterns Catalogue -- 3.2 Organizing Design Patterns -- 3.3 From the Patterns Catalogue to a Design Pattern Language -- 4 Evaluation -- 4.1 Procedure -- 4.2 Results -- 5 Conclusions -- Acknowledgments -- Appendix: Design Pattern Language for Designing Alarm Visualizations for Operating Control Systems -- References -- 19 A Generic, Multimodal Framework for Sensorial Feedback on Android Systems -- Abstract -- 1 Introduction -- 1.1 Cognitive Load Theory -- 2 System Architecture -- 3 Cognitive Loading Game -- 4 Results -- 5 Conclusions. Acknowledgments -- References -- 20 Modeling Replication and Erasure Coding in Large Scale Distributed Storage Systems Based on CEPH -- Abstract -- 1 Introduction -- 2 Related Works -- 3 CEPH Overview -- 3.1 CEPH Architecture -- 3.2 Pools: Replication and Erasure Coding -- 4 Modeling the Storage System -- 5 Experiments -- 5.1 Reliability of Replicated Pools -- 5.2 Reliability in Erasure Coded Poools -- 6 Conclusions and Future Works -- References -- 21 Power Consumption Analysis of Replicated Virtual Applications in Heterogeneous Architectures -- Abstract -- 1 Introduction -- 2 Background and Related Works -- 3 Modeling Approach -- 4 The Model -- 4.1 The Petri Net Model -- 4.2 Implementing the Policies -- 5 Experimental Results -- 5.1 Allocation Policies -- 5.2 Deallocation Policies -- 5.3 Best Performing Policies -- 6 Conclusions and Future Work -- References -- 22 An Agent-Based Platform for Resource Configuration and Monitoring of Cloud Applications -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Application Driven Monitoring Architecture -- 4 Benchmarking Module Implementation -- 5 Usage Scenario and Prototype Evaluation -- 6 Conclusion -- Acknowledgments -- References -- Author Index. EBL201708 SzGeCERN Computing and Computers BOOK Cesaroni, Fabrizio Giesecke, Raphael Missikoff, Michele https://cds.cern.ch/auth.py?r=EBLIB_P_4614794 ebook 201708 n 201732 21 PUBLIC https://catalogue.library.cern/legacy/2278045 BOOK MIGRATED 2278008 SzGeCERN 20180612223803.0 9780199384266 (electronic bk.) electronic version 9780199384259 electronic version EBL 4083504 eng QD305.E7 541.393 Bunker, Bruce C The aqueous chemistry of oxides Oxford Oxford University Press 2016 645 p Cover -- Contents -- Cover Art Figure Captions -- Plates -- PART ONE An Introduction to Oxides -- 1. The Importance of Oxides and Oxide-Water Reactions -- 1.1. Geochemical Importance -- 1.2. The Technological Importance of Oxides -- 1.3. The Physical Properties of Oxides -- 1.4. The Chemical Properties of Oxides -- 1.5. The Aqueous Chemistry of Oxides: A Road Map -- 2. An Overview of Oxide Structures and Compositions -- 2.1. Local Oxide Structures: The Oxide (O2−) Anion -- 2.2. Predicting Oxygen-Bonding Configurations: An Introduction to the Formal-Charge Model -- 2.3. Close-Packed Crystalline Lattices -- 2.4. Oxides Containing Octahedral Cations -- 2.5. Oxides Containing Tetrahedral Cations -- 2.6. Oxides Containing Both Octahedral and Tetrahedral Cations -- 2.7. Engineered Oxide Nanostructures -- PART TWO Fundamental Oxide Reactions in Aqueous Solutions -- 3. The Structure and Properties of Water -- 4. Solvated Ions in Water -- 4.1. Introduction -- 4.2. Solvated Anions -- 4.3. Solvated Cations -- 4.4. The Structure of Solvated Cations -- 4.5. The Acid-Base Properties of the First Solvation Shell -- 4.6. Using Formal Charge Models to Predict and Rationalize pKa Values -- 4.7. An Introduction to Ligand-Exchange Reactions -- 4.8. The Thermodynamics of Ligand Exchange -- 4.9. The Kinetics of Ligand-Exchange Reactions -- 5. The Hydrolysis Products: Soluble Multi-cation Clusters -- 5.1. Introduction -- 5.2. Structures of the Hydrolysis Products -- 5.3. The Occurrence of Hydrolysis Products: Reading Hydrolysis Diagrams -- 5.4. Trends in Cation Hydrolysis -- 5.5. Hydrolysis Diagrams as Predictors of Oxide Chemistry -- 5.6. Speciation Diagrams Involving Foreign Ligands -- 5.7. The Acid-Base Chemistry of Multi-Cation Hydrolysis Products -- 5.8. Mechanisms for Reversible Condensation Reactions -- 5.9. Hydrolysis Product Stability: Dimer Reaction Pathways. 5.10. The Stability of Larger Hydrolysis Products -- 5.11. The Polyoxometalates: Covalent Oxide Clusters -- 6. The Chemistry of Extended Oxide Surfaces -- 6.1. Introduction -- 6.2. Ideal Oxide Surfaces in the Absence of Water -- 6.3. Interactions between Pristine Surfaces and Water Molecules -- 6.4. The Interface between Liquid Water and Oxide Surfaces -- 6.5. Acid-Base Reactions on Oxide Surfaces in Liquid Water -- 6.6. Ligand-Exchange Reactions Involving Water: Oxide Dissolution -- 6.7. Reactions Involving Foreign Ligands -- PART THREE The Aqueous Synthesis and Processing of Oxides -- 7. Nucleation and Growth of Solid Oxide and Hydroxide Phases -- 7.1. Introduction -- 7.2. Classic Nucleation Theory -- 7.3. Chemical Control of Oxide Nucleation -- 7.4. Classic Growth Theory -- 8. The Colloidal Chemistry of Oxides -- 8.1. Introduction -- 8.2. Fundamental Colloidal Interactions -- 8.3. The Chemical Origin of Surface Charge -- 8.4. The Impact of Aggregation on the Properties of Colloidal Slurries -- 8.5. Ceramic Processing: The Role of Organic Additives -- 9. Bio-inspired Synthesis of Oxide Nanostructures -- 9.1. Introduction -- 9.2. Hierarchical Self-Assembly: From Molecules to Template Architectures -- 9.3. Template Functionalization: The Role of Self-Assembled Monolayers -- 9.4. Controlling Supersaturation Levels: Complexation and Compartmentalization -- 9.5. Nucleation Promoters and Inhibitors: Catalytic and Epitaxial Manipulations -- 9.6. Mediation of Crystal Growth: The Role of Site Blockers -- 9.7. Active Assembly Using Microtubules and Motor Proteins -- PART FOUR Technologically Important Oxide Reactions -- 10. The Ion Exchange Behavior of Oxides -- 10.1. Introduction -- 10.2. Ion Exchange Capacity: The Role of Potential-Determining Ions -- 10.3. Ion Exchange Equilibria: The Importance of Selectivity. 10.4. The Role of Local Charge Distributions in Optimizing Ion-Exchange Selectivity -- 10.5. The Roles of Steric Effects and Selective Solvation on Ion-Exchange Selectivity -- 10.6. Sodium Titanates for 90Sr2+ Remediation -- 10.7. Silicotitanate Ion Exchangers for Cs+ Remediation -- 10.8. Interactions between Cs+ and Clay Minerals -- 10.9. Oxide Anion Exchangers -- 10.10. Lithium Extractions Using Oxide Ion Exchangers -- 10.11. Nanomaterials Formed Via Ion Exchange: The Pillared Clays -- 10.12. Oxides as Ion and Proton Conductors -- 11. The Electrochemistry of Oxides -- 11.1. Introduction -- 11.2. Electrochemical Reactions -- 11.3. Pourbaix Diagrams -- 11.4. The Electrochemistry of Water -- 11.5. Pourbaix Diagrams Involving Solid Oxides -- 11.6. The Kinetics and Mechanisms of Electron Transfer Reactions -- 11.7. The Impact of Electrochemistry on Oxide Reactions and Stability -- 11.8. Electrochemical Energy Storage Devices Containing Oxides -- 11.9. Oxides in Primary Batteries -- 11.10. Oxides in Secondary Batteries -- 11.11. The Lead-Acid Battery -- 11.12. Ultracapacitors: Nanostructured Oxides for Energy Storage -- 11.13. Environmental Electrochemistry -- 12. Oxide Films in Metal Corrosion: Oxide Defect Chemistry -- 12.1. Introduction -- 12.2. The Electrochemistry of Metal Corrosion -- 12.3. Galvanic Corrosion -- 12.4. The Kinetics of Metal Corrosion -- 12.5. Oxide Phases in Metal Corrosion -- 12.6. The Defect Chemistry of Oxides -- 12.7. Corrosion Kinetics Versus Defect Migration Rates -- 12.8. The Role of Hydration in Corrosion Rates and Mechanisms -- 13. Photochemistry and Excited-State Reactions of Oxides -- 13.1. Introduction -- 13.2. Light and Other Sources of Oxide Excitation -- 13.3. Light Absorption by Soluble Oxide Complexes -- 13.4. The Electronic Structures of Oxides -- 13.5. Band Bending: The Role of Surface Charge. 13.6. PhotoInduced Electrochemistry -- 13.7. The Role of Photosensitizers: The Grätzel Cell -- 13.8. High-Energy Reactions: Electron- and Photon-Stimulated Processes -- 13.9. Damage in Oxides Resulting from High-Energy Radiation -- PART FIVE Reactions Involving Tetrahedral Oxides -- 14. Aqueous Polymerization of Silicates and Aluminosilicates -- 14.1. Introduction -- 14.2. Soluble Silicate Polymers -- 14.3. Silicate Polymerization Mechanisms and Reaction Kinetics -- 14.4. Sol-Gel Processing of Silicate Materials -- 14.5. The Importance of Aluminosilicate Polymerization -- 14.6. The Chemistry of Monomeric Al(III) Complexes -- 14.7. Mechanistic Considerations Regarding Aluminosilicate Clusters -- 14.8. Aluminosilicate Polymerization in Basic Solutions: Experimental Results -- 14.9. Aluminosilicate Polymerization in Weak Acids: The Formation of Imogolite Clays -- 14.10. Hydrothermal Synthesis of Silicates and Aluminosilicates -- 15. Glass Dissolution and Leaching -- 15.1. Introduction -- 15.2. Glass Structure and Dissolution Mechanisms -- 15.3. Silica Dissolution -- 15.4. Alkali Silicate Glasses -- 15.5. Borate Glasses -- 15.6. Borosilicate and Aluminosilicate Glasses -- 15.7. Phosphate Glasses -- 15.8. Nuclear-Waste Glasses -- 16. Stress Corrosion Cracking: Chemically Activated Nanomechanics -- 16.1. Introduction -- 16.2. Macroscopic Brittle Fracture Models -- 16.3. Molecular Modeling of Strain-Enhanced Reactivity -- 16.4. Reactions between Water and Strained Model Compounds -- 16.5. Molecular Requirements for Stress Corrosion -- 16.6. The Role of Water in Complex Crack-Growth Behaviors -- PART SIX The Environmental Geochemistry of Oxides -- 17. The Weathering of Oxides -- 17.1. Introduction -- 17.2. Physical Weathering -- 17.3. Chemical Weathering: The Hydrolysis of Oxides -- 17.4. A Conceptual Framework for Oxide Weathering: The Weathering of Granite. 17.5. The Genesis of Sandstone from Quartz: The Role of Structure in Mineral Dissolution -- 17.6. The Genesis of Clay Minerals from Feldspars: Hydrolytic Transformations -- 17.7. The Genesis of the Iron and Manganese Oxides: Redox Cycling in Weathering -- 17.8. The Genesis of Precipitates: Carbonate Chemistry and Limestone Formation -- 18. The Impact of Oxides on Environmental Chemistry -- 18.1. Introduction -- 18.2. Wind: Oxide Chemistry in the Atmosphere -- 18.3. Earth: Oxide Chemistry in Soil -- 18.4. Water: Oxides in the Hydrosphere -- 18.5. Fire: Oxides and Water in Geothermal Environments -- Subject Index -- Substance Index. The Aqueous Chemistry of Oxides is a comprehensive reference volume and special topics textbook that explores all of the major chemical reactions that take place between oxides and aqueous solutions. The book highlights the enormous impact that oxide-water reactions have in advanced technologies, materials science, geochemistry, and environmental science. Casey, William H 9780199384259 print version oai:cds.cern.ch:2278008 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4083504 ebook ebook EBL201708 Chemical Physics and Chemistry SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2278001 SzGeCERN 20180120020729.0 9781466585096 (electronic bk.) electronic version electronic version 9781466585089 9781466585089 print version oai:cds.cern.ch:2278001 cerncds:BOOK EBL 4003220 eng TJ163.3.H356 2015 621.042 Goswami, D Yogi Energy efficiency and renewable energy handbook 2nd ed. Boca Raton, FL CRC Press 2015 1779 p Mechanical and aerospace engineering series Book Cover -- Contents -- Preface -- Acknowledgments -- Editors -- Contributors -- Section I: Global Energy Systems, Policy, and Economics -- Chapter 1: Global Energy Systems -- Chapter 2: Sound Finance Policies for Energy Efficiency and Renewable Energy -- Chapter 3: State and Federal Policies for Renewable Energy -- Chapter 4: Strategies and Instruments for Renewable Energy and Energy Efficiency: Internationally, in Europe, and in Germany -- Chapter 5: Energy Conservation and Renewable Energy Policies in China -- Chapter 6: Renewable Energy and Energy Efficiency in India -- Chapter 7: Renewable Energy Policies in Brazil: Bioenergy, Photovoltaic Generation, and Transportation -- Chapter 8: Energy in Israel: A Case for Renewables -- Chapter 9: Renewable Energy in Australia -- Chapter 10: Japan's Post-Fukushima Energy Policy -- Chapter 11: Policies for Distributed Energy Generation -- Chapter 12: Economics Methods* -- Chapter 13: Environmental Impacts and Costs of Energy -- Section II: Energy Generation Through 2025 -- Chapter 14: Distributed Generation Technologies Through 2025 -- Chapter 15: Demand-Side Management -- Chapter 16: Fossil Fuels -- Chapter 17: Nuclear Power Technologies Through Year 2035 -- Chapter 18: Outlook for U.S. Energy Consumption and Prices, 2011-2040 -- Section III: Energy Infrastructure and Storage -- Chapter 19: Transportation -- Chapter 20: Infrastructure Risk Analysis and Security -- Chapter 21: Electricity Infrastructure Resilience and Security -- Chapter 22: Electrical Energy Management in Buildings -- Chapter 23: Heating, Ventilating, and Air Conditioning Control Systems -- Chapter 24: Stirling Engines -- Chapter 25: Energy-Efficient Lighting Technologies and Their Applications in the Residential and Commercial Sectors -- Chapter 26: Energy-Efficient Technologies: Major Appliances and Space Conditioning Equipment. Chapter 27: Heat Pumps -- Chapter 28: Electric Motor Systems Efficiency -- Chapter 29: Industrial Energy Efficiency and Energy Management -- Chapter 30: Process Energy Efficiency: Pinch Technology -- Chapter 31: Analysis Methods for Building Energy Auditing -- Chapter 32: Cogeneration -- Chapter 33: Energy Storage Technologies -- Chapter 34: Advanced Concepts in Transmission and Distribution -- Chapter 35: Smart Grid Technology -- Section IV: Renewable Technologies -- Chapter 36: Solar Energy Resources -- Chapter 37: Wind Energy Resource -- Chapter 38: Municipal Solid Waste -- Chapter 39: Biomass Properties and Resources -- Chapter 40: Active Solar Heating Systems -- Chapter 41: Passive Solar Heating, Cooling, and Daylighting -- Chapter 42: Concentrating Solar Thermal Power -- Chapter 43: Wind Energy Conversion -- Chapter 44: Photovoltaics -- Chapter 45: Thin-Film PV Technology -- Chapter 46: Concentrating PV Technologies -- Chapter 47: Waste-to-Energy Combustion -- Chapter 48: Energy Recovery by Anaerobic Digestion Process -- Section V: Biomass Energy Systems -- Chapter 49: Biomass Conversion to Heat and Power -- Chapter 50: Biomass Conversion to Fuels -- Chapter 51: Geothermal Power Generation -- Chapter 52: Hydrogen Energy Technologies -- Chapter 53: Fuel Cells -- Back Cover. Kreith, Frank https://cds.cern.ch/auth.py?r=EBLIB_P_4003220 ebook 201708 n 201732 ebook EBL201708 SzGeCERN Engineering BOOK 21 PUBLIC BOOK DELETED 2277990 SzGeCERN 20200716220058.0 9781498702768 9781498702775 1498702775 oai:cds.cern.ch:2277990 cerncds:BOOK eng TD160 .S74 2015 621.3821 Stimmel, Carol L Building smart cities analytics, ICT, and design thinking Portland, OR CRC Press 2015 287 p ebook This ebook is not available anymore on the Safari platform Front Cover -- Dedication -- Contents -- Foreword -- Preface -- About the Author -- Acknowledgments -- Section One - Designing Smart Cities for Human Needs -- Chapter One - The Imperative for Smart Cities -- Chapter Two - Technology, Innovation, and the Problem with People -- Chapter Three - A New Perspectiveon Smart Cities -- Chapter Four - Why Design Thinking? -- Chapter Five - Design Thinking Applied -- Section One - Key Points -- Section One - Key Points -- Section Two - A Review of Smart City Technologies -- Chapter Six - Smart City Planning and Management -- Chapter Seven - The Fundamentals of Smart Infrastructure -- Chapter Eight - The Urban Life Force -- Section Two - Key Points -- Section Two - Key Points -- Section Three - Data Analytics and the Smart Urban Dweller -- Chapter Nine - Smart City Analytics -- Chapter Ten - Technology, Social Inclusion, and the Wisdom of the Urban Community -- Chapter Eleven - Information Security and Privacy -- Section Three - Key Points -- Section Three - Key Points -- Section Four - Designing Innovation -- Chapter Twelve - Hacking the City -- Chapter Thirteen - Smart Cities: Problem or Promise? -- Section Four - Key Points -- Section Four - Key Points -- Glossary -- Back Cover. The term "smart city" defines the new urban environment, one that is designed for performance through information and communication technologies. Given that the majority of people across the world will live in urban environments within the next few decades, it's not surprising that massive effort and investment is being placed into efforts to develop strategies and plans for achieving "smart" urban growth. Building Smart Cities: Analytics, ICT, and Design Thinking explains the technology and a methodology known as design thinking for building smart cities. Information and communications technologies form the backbone of smart cities. A comprehensive and robust data analytics program enables the right choices to be made in building these cities. Design thinking helps to create smart cities that are both livable and able to evolve. This book examines all of these components in the context of smart city development and shows how to use them in an integrated manner. Using the principles of design thinking to reframe the problems of the smart city and capture the real needs of people living in a highly efficient urban environment, the book helps city planners and technologists through the following: Presentation of the relevant technologies required for coordinated, efficient cities Exploration of the latent needs of community stakeholders in a culturally appropriate context Discussion of the tested approaches to ideation, design, prototyping, and building or retrofitting smart cities Proposal of a model for a viable smart city project The smart city vision that we can create an optimized society through technology is hypothetical at best and reflects the failed repetition through the ages of equating scientific progress with positive social change. Up until now, despite our best hopes and efforts, technology has yet to bring an end to scarcity or suffering. Technical innovation, instead, can and should be directed in the service of our shared cultural values, especially within the rapidly growing urban milieu. In Building Smart Cities: Analytics, ICT, and Design Thinking, the author discusses the need to focus on creating human-centered approaches to our cities that integrate our human needs and technology to meet our economic, environmental, and existential needs. The book shows how this approach can lead to innovative, livable urban environments that are realizable, practical, and economically and environmentally sustainable. EBLlink deleted SAF201711 SAFlink deleted 202001 SzGeCERN Engineering BOOK https://ezproxy.cern.ch/login?url=http://proquest.tech.safaribooksonline.de/?uiCode=CERN&xmlId=9781498702775 ebook 201708 n 201732 21 PUBLIC Deleted 2277984 SzGeCERN 20200808000722.0 9783319135953 print version 9783319135960 electronic version electronic version oai:cds.cern.ch:2277984 cerncds:BOOK EBL 2096881 eng QD1-999 541.2 Hernández-Sánchez, Humberto Food nanoscience and nanotechnology Cham Springer 2015 307 p ebook Food engineering series Preface -- Acknowledgements -- Contents -- Contributors -- Chapter-1 -- Introduction -- References -- Chapter-2 -- Tools for the Study of Nanostructures -- 2.1 Introduction -- 2.2 Structure -- 2.3 Tools for the Study of Micro- and Nanomaterials -- 2.3.1 Light Microscopy -- 2.3.1.1 Dark-Field Microscopy -- 2.3.1.2 Fluorescence Microscopy -- 2.3.1.3 Confocal Laser Scanning Microscopy (CLSM) -- 2.3.1.4 High-Resolution Optical Microscopy Methods -- 2.3.2 Electron Microscopy -- 2.3.2.1 Scanning Electronic Microscopy (SEM) -- 2.3.2.2 Transmission Electronic Microscopy (TEM) -- 2.3.3 Atomic Force Microscope -- 2.3.3.1 Principles of the AFM -- 2.3.3.2 Components of an AFM -- 2.3.3.3 AFM Operation Modes -- 2.3.3.4 Food Applications -- References -- Chapter-3 -- Development of Food Nanostructures by Electrospinning -- 3.1 Introduction -- 3.2 Spun-Fiber Preparation -- 3.2.1 Principle of the Electrospinning Technique -- 3.2.2 Setup of the Electrospinning Unit -- 3.2.3 Parameters to Consider -- 3.2.3.1 Solution Properties -- 3.2.3.2 Processing Parameters -- 3.2.4 Materials: Electrospun Polymers -- 3.3 Applications of Electrospinning in the Food Sector -- 3.3.1 Nano-Fibers for Encapsulation and Release of Natural Bioactive Compounds -- 3.3.2 Nano-Fibrous Membranes as Filtration Systems -- 3.3.3 Application in Environmental Filtration -- 3.3.4 Food Filtration -- References -- Chapter-4 -- Polysaccharide-Based Nanoparticles -- 4.1 Introduction -- 4.2 Starch -- 4.3 Dextran -- 4.4 Chitin and Chitosan -- 4.5 Cellulose -- 4.6 Pectin -- 4.7 Hydrocolloids -- 4.8 Conclusion -- References -- Chapter 5 -- Protein-Based Nanoparticles -- 5.1 Introduction -- 5.2 Casein -- 5.3 β-Lactoglobulin (β-LG) -- 5.4 α-Lactalbumin (α-LA) -- 5.5 Bovine Serum Albumin (BSA) -- 5.6 Human Serum Albumin (HSA) -- 5.7 Egg Albumin (EA) -- 5.8 Gelatin -- 5.9 Gliadin -- 5.10 Legumin -- 5.11 Zein. 5.12 Soy Protein -- 5.13 Conclusion -- References -- Chapter 6 -- Indentation Technique: Overview and Applications in Food Science -- 6.1 Indentation Technique -- 6.1.1 Definition -- 6.1.2 Measurement Method -- 6.1.3 Analysis of Data (Hardness and Elastic Modulus) -- 6.1.4 Parameters and Viscoelastic Behavior -- 6.2 Mechanical Characterization of Biological Materials by Indentation -- 6.3 Examples of the Use of Indentation Technique in Food Science -- 6.3.1 Micromechanical Properties of Hen×s Eggshell -- 6.3.2 Fracture Behavior in Eggshell -- 6.3.3 Biopolymers and Edible Films -- 6.4 Conclusions -- References -- Chapter-7 -- Lipid Matrices for Nanoencapsulation in Food: Liposomes and Lipid Nanoparticles -- 7.1 Introduction -- 7.1.1 Liposomes -- 7.1.2 Liposome Applications in Food -- 7.1.3 Methods for Liposome Production -- 7.2 Lipid Nanoparticles -- 7.2.1 Microstructure of Lipid Nanoparticles -- 7.2.2 Stability of Lipid Nanoparticles -- 7.2.3 Methods for Lipid Nanoparticles Production -- 7.2.4 Characterization of Lipid Nanoparticles -- 7.3 Conclusions and Future Perspectives -- References -- Chapter-8 -- High Shear Methods to Produce Nano-sized Food Related to Dispersed Systems -- 8.1 Introduction -- 8.2 Production of Nanomaterials -- 8.3 Rotor-Stator Homogenizer -- 8.4 High and Ultra-High Pressure Valve Homogenizer -- 8.4.1 Ultrasonic Homogenizer -- 8.5 Microfluidizers -- 8.6 Conclusions -- References -- Chapter-9 -- Hydrodynamic Characterization of the Formation of Alpha-Tocopherol Nanoemulsions in a Microfluidizer -- 9.1 Introduction -- 9.2 Nanoemulsions -- 9.2.1 Nanoemulsion Formation by Microfluidization -- 9.2.2 Influence of Emulsifier Type on Particle Size -- 9.2.3 Mixing on Microchannels and Residence Time Distribution (RTD) -- 9.2.3.1 E Curve. Distribution of Fluid Age -- 9.2.3.2 Dispersion Model. 9.2.3.3 Influence of the Energy Density in Pressure Drop and in the Mixing During Microfluidization -- 9.3 Conclusions -- References -- Chapter-10 -- Role of Surfactants and Their Applications in Structured Nanosized Systems -- 10.1 Introduction -- 10.1.1 Surfactants or Emulsifiers -- 10.1.1.1 Surfactants and Emulsifiers Structures -- 10.1.1.2 Surfactants and Emulsifiers Functionality -- 10.1.1.3 Most Important Surfactants Used in the Formulation of Structured Nanosized Systems -- 10.2 Molecular Interactions to Assemble Nanosized Systems -- 10.3 Structural Design Principles -- 10.4 Structured Nanosized Systems that Imply the Use of Surfactants -- 10.5 Theoretical Mathematical Model to Determine the Optimal Value of Surfactant Concentration -- References -- Chapter-11 -- Food Nano- and Microconjugated Systems: The Case of Albumin-Capsaicin -- 11.1 Introduction -- 11.2 The Albumin-Group Proteins as Wall Material for Encapsulation -- 11.3 Methods for Nanostructuration of Protein Particles -- 11.4 Methods for Characterization of the Nano-, Micro- and Macroparticles -- 11.4.1 Particle Size -- 11.4.2 Determination of the ζ-potential -- 11.5 Case of Study: Nanostructuration of Particles of BSA and BSA-Capsaicin -- 11.6 Conclusions -- References -- Chapter-12 -- Polymer Nanocomposites for Food Packaging Applications -- 12.1 Introduction -- 12.2 Preparation of Nanocomposites -- 12.3 Characterization of Nanocomposites -- 12.4 Barrier Properties -- 12.5 Food Packaging Applications -- 12.6 Final Remarks -- References -- Chapter-13 -- Nanobiosensors in Food Science and Technology -- 13.1 Introduction -- 13.2 Biosensors -- 13.2.1 Classification -- 13.2.1.1 Bioreceptors -- 13.2.1.2 Transductors -- 13.3 Nanosensors in Food -- 13.4 Conclusions -- References -- Chapter-14. Carbon Nanotubes and Their Potential Applications in Developing Electrochemical Biosensors for the Detection of Analytes in Food -- 14.1 Introduction -- 14.2 CNT Types -- 14.3 CNT Structure -- 14.4 CNT Synthesis -- 14.5 Characterization -- 14.6 Functionalization -- 14.7 Applications -- References -- Chapter-15 -- Safety Studies of Metal Oxide Nanoparticles Used in Food Industry -- 15.1 Introduction -- 15.1.1 Characterization of NP -- 15.1.2 Security of NP in Health -- 15.2 Exposition Pathways of NP in Humans -- 15.3 Life Cycle of NP -- 15.4 Regulation and Use of NP -- 15.5 Use of NP in Food: Quality Versus Product Safety for Consumption -- 15.5.1 Metal Oxides -- 15.5.2 Incidental and Not Incidental Food Additives -- 15.5.2.1 Titanium Dioxide (Tio2 Named as E 171) -- 15.5.2.2 Silver Zeolite (E 174) -- 15.5.2.3 Zinc Oxide E6 -- 15.5.2.4 Silicon Dioxide (SiO2) E551 -- 15.5.2.5 Cobalt (III) Oxide (Co2O3) E3 -- 15.5.3 Incidental Food Compounds -- 15.5.3.1 Tin Dioxide (SnO2) NP -- 15.5.3.2 Iron (III) Oxide or Ferric Oxide -- 15.6 Conclusions -- References -- Chapter-16 -- Multiscale and Nanostructural Approach to Fruits Stability -- 16.1 Introduction -- 16.2 Fruits as Complex Systems -- 16.3 Multiscale as a Way to Understand Fruit Instability -- 16.4 Main Topics Studied Around Fruit Nanostructure -- 16.4.1 Tissue, Cell and Organelles Morphology -- 16.4.2 Cell Wall Structure Roll in Fruit Instability -- 16.4.3 Nanoscale Technologies to Extend Fruit Stability -- 16.4.4 Fruit Components Applied in Nanotechnology -- 16.5 Case of Study: From Macro- to Nanoscale Integration to Understand the Senescence Process in Papaya ( Carica Papaya L.) -- 16.6 Conclusions -- References -- Chapter-17 -- Modulating Oxidative Stress: A Nanotechnology Perspective for Cationic Peptides -- 17.1 The Application of Nanotechnology for Human Health Improvement. 17.2 Modulating Oxidative Stress -- 17.3 Antioxidant Peptides and Oxidative Stress Modulation -- 17.3.1 Synthetic Antioxidant Peptides -- 17.3.1.1 Szeto-Schiller Peptides -- 17.3.1.2 XJB Peptides -- 17.3.2 Protein-Derived Antioxidant Peptides (Bioactive Peptides) -- 17.3.2.1 Antioxidant Peptides Derived from Canola -- 17.4 Nanotechnology Strategies for the Improvement of Antioxidants -- 17.5 Final Remarks -- References -- Index. Nanoscience and nanotechnology have had a great impact on the food industry. They have increased the nutritional and functional properties of a number of food products and have aided in food preservation through the addition of antimicrobials or the reduction of water activity. These and many other applications have emerged in recent years to transform food science and technology. This book proposes to look at some of these applications and their effect on food production and innovation. EBL201708 SzGeCERN Chemical Physics and Chemistry BOOK Gutiérrez-López, Gustavo Fidel https://cds.cern.ch/auth.py?r=EBLIB_P_2096881 ebook 201708 n 201732 21 PUBLIC BOOK DELETED 2277981 SzGeCERN 20210421210731.0 9783319137155 print version 9783319137162 electronic version electronic version oai:cds.cern.ch:2277981 cerncds:BOOK EBL 2095421 eng G1-922 526.1 Randazzo, Giovanni Sand and gravel spits Cham Springer 2015 348 p ebook Coastal research library 12 Contents -- Introduction -- References -- Chapter 1: Evolution of Sandspits Along the Caribbean Coast of Colombia: Natural and Human Influences -- 1.1 Introduction -- 1.2 Study Area -- 1.3 Methodology -- 1.4 Results and Discussion -- 1.4.1 Coastal Evolution -- 1.4.1.1 Bocas de Ceniza-Puerto Caimn -- 1.4.1.2 Galerazamba Sector -- 1.4.1.3 Isla Cascajo Sector -- 1.4.1.4 Punta Canoas -- 1.4.2 Morphodynamic Model -- 1.5 Conclusions -- References -- Chapter 2: Patterns of Sand Spit Development and Their Management Implications on Deltaic, Drift-Aligned Coasts: The Cases of ... -- 2.1 Introduction -- 2.2 The Volta River Delta Spit -- 2.2.1 Setting -- 2.2.2 Barrier Dynamics in the Bight of Benin: Prelude to Volta Delta-Mouth Spit Development -- 2.2.3 Inception, Development and Geomorphic Transformation of the Volta Spit -- 2.3 The Senegal River Delta Spit -- 2.3.1 Context -- 2.3.2 The Migration Dynamics of the Langue de Barbarie Spit -- 2.3.3 Impending Demise of the Spit? -- 2.4 Discussion and Conclusion -- References -- Chapter 3: El Paramo Transgressive Gravel Spit, Tierra del Fuego, Argentina -- 3.1 Introduction -- 3.2 Geologic and Tectonic Setting -- 3.3 Dynamic Setting -- 3.4 Spit Morphology and Composition -- 3.5 Overtopping and Overwash Processes -- 3.6 Discussion -- 3.6.1 Overwash Processes -- 3.6.2 Spit Development -- 3.7 Conclusions -- References -- Chapter 4: Gravel Spit-Inlet Dynamics: Orford Spit, UK -- 4.1 Introduction -- 4.2 Regional Setting -- 4.3 Method -- 4.4 Orford Spit: Morphology -- 4.5 Spit Development: A 500 Year History -- 4.6 Spit-Inlet-Delta Dynamics -- 4.7 Conclusions -- References -- Chapter 5: Aeolian Sand Invasion: Georadar Signatures from the Curonian Spit Dunes, Lithuania -- 5.1 Introduction -- 5.2 Physical Setting -- 5.3 Methods -- 5.4 Results -- 5.5 Discussion -- 5.6 Conclusions -- References. Chapter 6: The Joint History of Tróia Peninsula and Sado Ebb-Delta -- 6.1 Introduction -- 6.2 Regional Setting -- 6.3 Methods -- 6.3.1 Subaerial Morphology -- 6.3.2 Internal Stratigraphy -- 6.3.2.1 The Emerged Spit -- 6.3.2.2 The Submerged Spit -- 6.3.3 Age Determination -- 6.4 Results -- 6.4.1 Subaerial Morphology -- 6.4.2 Internal Stratigraphy -- 6.4.2.1 The Emerged Spit -- Radar Facies Assemblage 1 (RF1). The Upper Beach -- Radar Facies Assemblage 2 (RF2). The Aeolian Cover -- Radar Facies Assemblage 3 (RF3). The Backbarrier -- 6.4.2.2 The Submerged Spit -- 6.4.3 Spit Age -- 6.4.4 Progradation Rates -- 6.5 Discussion -- 6.5.1 Initiation and Elongation of the Spit -- 6.5.2 Barrier Progradation -- 6.6 Conclusions -- References -- Chapter 7: The Historical Evolution of the Tindari-Marinello Spit (Patti, Messina, Italy) -- 7.1 Introduction -- 7.2 Geological and Geomorphological Aspects of Tindari-Marinello Spit -- 7.3 Historical Aspects and Geomorphological Evolution -- 7.4 Antiquarian Studies and Cartography on the Tindari-Marinello -- 7.5 Conclusion -- References -- Chapter 8: Anthropogenic Influence on Spit Dynamics at Various Timescales: Case Study in the Bay of Cadiz (Spain) -- 8.1 Introduction -- 8.2 Study Area -- 8.3 Historical Evolution -- 8.4 Recent Behaviour -- 8.5 Present Dynamics -- 8.6 Conclusions -- References -- Chapter 9: The Development and Management of the Dingle Bay Spit-Barriers of Southwest Ireland -- 9.1 Introduction: The Context of Spit-Barriers on European Atlantic Coasts -- 9.2 The Coastal and Offshore Environments: Regional: Local Settings -- 9.2.1 Boundaries and Drivers -- 9.2.2 The Spit-Barriers: Significance for Science and People -- 9.2.3 Changes in the Barriers and Current Issues -- 9.3 The Barrier Morphologies and Environments -- 9.3.1 The Inch Spit -- 9.3.2 The Rossbehy Barrier and the Ebb-Tidal Delta -- 9.3.3 Cromane. 9.4 Holocene Spit-Barrier Development in Dingle Bay-Cromane Harbour -- 9.4.1 Large- to Meso-scale Models of Holocene Barrier Development -- 9.4.2 Castlemaine Harbour: Palaeoenvironmental Evidence of the Spit-Barriers -- 9.4.2.1 Rossbehy Early Barrier Evidence and Coastal Morphodynamics -- 9.4.2.2 The Inch Spit Palaeo-Barrier -- 9.5 Contemporary Spit-Barrier Functioning -- 9.5.1 The Inch Barrier -- 9.5.2 The Rossbehy Barrier and the Ebb-Tidal Delta -- 9.6 The Future of the Spit-Barriers and Conclusions -- References -- Chapter 10: Polish Spits and Barriers -- References -- Chapter 11: Tidal Flat-Barrier Spit Interactions in a Fetch-Limited, Macro-tidal Embayment, Lubec, Maine, USA -- 11.1 Introduction -- 11.2 Geological Setting -- 11.3 Methods -- 11.4 Results -- 11.4.1 Time Series Changes in the Lubec Embayment -- 11.4.2 Sedimentary Environments and Geomorphology of the Lubec Embayment -- 11.4.3 Algal Transport of Clasts -- 11.5 Discussion -- 11.5.1 Shoreline Changes -- 11.5.2 Intertidal Environments -- 11.5.3 Sediment Source(s) -- 11.5.4 Transport Mechanism(s) -- 11.6 Conclusions -- References -- Chapter 12: Sandy Spits and Their Mathematical Modeling -- 12.1 Introduction -- 12.2 Physical Processes of Spit Growth -- 12.3 Mathematical Modeling of Spit Growth -- 12.3.1 General Formulation -- 12.3.2 Unrestricted Growth -- 12.3.3 Time-Varying Cross-Sectional Spit Shape -- 12.3.4 Increasing Active Profile Height -- 12.3.5 Restricted Growth -- 12.3.6 Coupling to Inlet Processes -- 12.4 Case Studies -- 12.4.1 Skanör-Falsterbo Peninsula, Sweden -- 12.4.2 San Bernard River Mouth, Texas -- 12.4.3 Corpus Christi North Beach, Texas -- 12.4.4 ERDC Physical Model Study -- 12.4.5 Fire Island Inlet, Long Island -- 12.4.6 Chilaw Inlet, Sri Lanka -- 12.5 Concluding Remarks -- References. Chapter 13: Spits on the French Atlantic and Channel Coasts: Morphological Behaviour and Present Management Policies -- 13.1 Introduction -- 13.1.1 Spits as Mobile Features -- 13.1.2 Sillon de Talbert Spit -- 13.2 Pointe d´Arçay Spit (Fig.13.3) and Belle Henriette Lagoon -- 13.3 Cayeux Spit -- 13.3.1 Spits and Coastal Management -- 13.4 Spits, Breaches and Floods -- 13.5 Spit and Global Change -- 13.6 Conclusion -- References -- Chapter 14: The Sand Spits of the Rhône River Delta: Formation, Dynamics, Sediment Budgets and Management -- 14.1 Introduction -- 14.2 Location and Description of Spits -- 14.2.1 Gracieuse Spit -- 14.2.2 Beauduc Spit -- 14.2.3 Espiguette Spit -- 14.3 Spit Formation -- 14.3.1 Gracieuse Spit -- 14.3.2 Beauduc Spit -- 14.3.3 Espiguette Spit -- 14.3.4 Drift Cells and Sediment Budgets -- 14.4 Shoreface Sediment Transport -- 14.5 Aeolian Dunes and Sand Transport -- 14.5.1 Wind Conditions and the Potential Aeolian Sediment Budget -- 14.5.2 The Role of Minor Seasonal Dune Activity -- 14.6 Discussion: A Conceptual Model of Spit Morphodynamics -- 14.7 Conclusion -- References -- Chapter 15: Long-, Mid- and Short-Term Evolution of Coastal Gravel Spits of Brittany, France -- 15.1 General Setting -- 15.2 Long-Term (103Years) Evolution of Gravel Spits of Brittany -- 15.3 Historical Evolution of Gravel Spits -- 15.4 The Question of Sediment Supply from Periglacial Cliff Erosion and Sediment Budget -- 15.5 Impact of Human Forcings -- 15.6 Morphodynamic Behaviours of Gravel Barriers at Mid-Term -- 15.7 Short-Term Evolutions: Barrier Responses to Extreme Storm Events -- 15.8 Management Strategies of Gravel Spits -- References -- Chapter 16: Morphological Characterization and Evolution of Tahadart Littoral Spit, Atlantic Coast of Morocco -- 16.1 Introduction -- 16.2 Study Area -- 16.3 Methodology. 16.3.1 Morphological Characteristics of the Coastal Area -- 16.3.2 Coastal Evolution -- 16.4 Results and Discussion -- 16.4.1 Wave Climate -- 16.4.2 Salt Marsh Characteristics -- 16.4.3 Sedimentological and Morphodynamic Spit Characteristics -- 16.4.4 Medium Term Evolution and Shoreline Change Rates -- 16.4.5 Considerations on Spit Evolution and Behaviour -- 16.5 Conclusions -- References -- Chapter 17: Geomorphology and Internal Sedimentary Structure of a Landward Migrating Barrier Spit (Southern Sylt/German Bight)... -- 17.1 Introduction -- 17.2 Study Area and Geological Setting -- 17.3 Methods -- 17.4 Results -- 17.4.1 Typical Radar Facies of a Migrating Barrier Spit -- 17.4.1.1 Rf-A-1: Dune Facies -- Radar Facies -- Lithological Facies -- Interpretation -- 17.4.1.2 Rf-A-3a and Rf-A-3b: Washover Facies -- Radar Facies -- Lithological Facies -- Interpretation -- 17.4.1.3 Rf-B-1: Groundwater Table -- 17.4.1.4 Rf-B-2a and Rf-B-2b: Backbarrier Facies (Tidal Flat Deposits) -- Radar Facies -- Lithological Facies -- Interpretation -- 17.4.1.5 Rf-C-1: Reflection Free and Undefined -- 17.4.1.6 Rf-D-1: Surface of Saalian Moraine (Till Deposits) -- Radar Facies -- Interpretation -- 17.4.2 GPR Lines 1 and 2 -- 17.4.3 Ground-Truthing: Core Data -- 17.5 Discussion -- 17.5.1 Barrier Rollover Model of the Trangressive Barrier Add-On Zone -- 17.6 Conclusion -- References -- Chapter 18: Morphology and the Cyclic Evolution of Danube Delta Spits -- 18.1 Introduction -- 18.2 Danube Delta: Regional Settings -- 18.3 Morphology and Dynamics of the Modern Spits -- 18.3.1 Sacalin Spit -- 18.4 Cyclic Spit Development and the Significance for Deltaic Lobes Evolution -- 18.4.1 Sulina and Dunavăt Lobes -- 18.4.2 Sf. Gheorghe 2 Lobe -- References -- Index. This book draws together a series of studies of spit geomorphology and temporal evolution from around the world. The volume offers some unique insights into how these landforms are examined scientifically and how we as humans impact them, offering a global perspective on spit genesis and evolution. Spits are unique natural environments whose evolution is linked to the adjacent coast and near shore morphology, sediment supply, coastal dynamics and sea-level change. Over the past century, Global Mean Sea Level (GMSL) has risen by 10 to 20 centimetres and many coastal spits represent the first sentinel against coastal submersion. Scientific research indicates that sea levels worldwide have been rising at a rate of 3.5 millimetres per year since the early 1990s, roughly twice the average speed of the preceding 80 years. This trend, linked to global warming will undoubtedly cause major changes in spit morphology. Spits are highly mobile coastal landforms that respond rapidly to environmental change. They therefore represent a signature of past environmental change and provide a landform indicator of climate change. EBL201708 SzGeCERN Astrophysics and Astronomy EBL Gravel BOOK Jackson, Derek WT Cooper, J Andrew G https://cds.cern.ch/auth.py?r=EBLIB_P_2095421 ebook 201708 n 201732 21 PUBLIC https://catalogue.library.cern/legacy/2277981 BOOK MIGRATED 2277977 SzGeCERN 20210421210731.0 9780835606820 print version 9780835631471 electronic version electronic version oai:cds.cern.ch:2277977 cerncds:BOOK EBL 2070579 eng BF1623.V7K 531.6 King, Serge Kahili Earth energies a quest for the hidden power of the planet Wheaton, IL Quest Books 1992 264 p ebook EARTH ENERGIES -- Half Title Page -- Copyright -- Title Page -- Dedication -- Contents -- Preface -- Chapter 1: Clues from the Ancients -- Traditions of India -- Out of the Far East -- Middle Eastern Mysteries -- Enigmas in the Americas -- Energies in Africa -- Polynesian Powers -- A Brief Look at Britain -- The Persistent Legend of Atlantis -- An Overview -- Chapter 2: The Vril of Mesmer -- The Power of Magnets and Animal Magnetism -- Chapter 3: The Odic Force and Reichenbach -- Magnets and Od -- Crystals and Od -- Polarity Between Substances -- Subjective Effects -- Od and the Human Body -- Luminosity of the Body -- Od from the Sun and Moon -- Friction and Od -- Chemical Action and Od -- Summary of Reichenbach's Findings -- Chapter 4: Wilhelm Reich and Orgone Energy -- Another Name for Vril -- Conductors and Nonconductors -- Oracs and Manaboxes -- Creating Fields -- Effects of Different Metals -- Healing Power -- Boxes and Tubes -- Charging Water -- Cloudbustlng -- The Orgone Motor -- Summary -- Chapter 5: The Power Behind Pyramidology -- Size, Shape and Substance -- Organic Effects -- Nonorganic Effects -- Physiological Effects -- Electronic Effects -- Psychic Effects -- The Companions of Cheops -- Experimenting on Your Own -- Amplifying the Power -- Chapter 6: Radionics: Detecting Subtle Radiation? -- Dowsing with the Pendulum -- The Huna Theory -- Medical Radiesthesia -- Detecting Fields -- Measuring Psychic Vibrations -- Other Dowsing Devices -- Radionics Machines -- The Hieronymous Machine -- The De Ia Warr Device -- Working with Witnesses -- Rate Sheets -- Keep It Simple -- Answers -- Chapter 7: Psychotronics: Transmission at a Distance -- Cameron's Ray Gun -- The Signature Effect -- Sound Transmission of Vril -- A Psychotronics Pioneer -- Later Research -- Natural Protection from Transmission of Harm -- The Power of Thought. The Czech Connection -- Personal Experiments -- Chapter 8: Vivaxis: Attuning to the Earth's Energies -- The Personal Vivaxis -- Channeling -- Neutralizing -- Code Receptors -- Creating Vivaxes -- Salt and Soda -- Nixon's Recommendations -- Vivaxis Induction -- On Absorbing Energy -- Chapter 9: Geomancy: Harmonizing Yin and Yang -- Feng Shui -- Hawaiian Geomancy -- Basic Concepts -- Power Spots -- Power (Ley) Lines -- Power Times -- Power Colors -- Territorial Energy -- Geomantic Healing -- Personal Geomancy -- Social Geomancy -- Environmental Geomancy -- Symbolic Geomancy -- Chapter 10: Extra Energy -- Cameron's Cones -- Keely's Motor -- Electrophotography -- Plasma -- Theoretical Review -- Chapter 11: Future Prospects -- Healing -- Agriculture and Husbandry -- Pollution -- Transportation -- Construction -- War -- Summary -- Appendix: Experimental Procedures -- Bibliography -- Index. Examinations and accounts of experimentation with subtle energies. In addition to the scientifically accepted forces of electricity, magnetism, and gravity, there are, according to the author, "psychoenergetic" forces, those that interact with the mind as well as the body. His research deals with the energies behind extraordinary phenomena like non-physical healing, levitation, telekinesis, superstrength, and many others in which the mind is always an important factor. He touches on pyramid power, dowsing, feng shui, and the use of magnets for healing. These, and many more sources may have a single energy in common; the same way different physical elements all have electrons in common. Leave skepticism behind, and be fascinated by his examples and observations that may someday prove to be of practical value, and no more "strange" than bread mold being used to cure disease. EBL201708 General Theoretical Physics SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_2070579 ebook n 201732 21 PUBLIC https://catalogue.library.cern/legacy/2277977 BOOK MIGRATED 2277910 SzGeCERN 20180410204926.0 9781466556935 (electronic bk.) electronic version 9781466556928 electronic version EBL 1316400 eng G70.4 -- .R462 2014eb 621.3678 Wang, Guangxing Remote sensing of natural resources London CRC Press 2013 565 p Remote sensing applications series 9 Front Cover -- Contents -- Acknowledgments -- Editors -- Contributors -- Introduction to Remote Sensing of Natural Resources -- Chapter 1 - Introduction to Remote Sensing Systems, Data, and Applications -- Chapter 2 - Remote Sensing Applications for Sampling Design of Natural Resources -- Chapter 3 - Accuracy Assessment for Classification and Modeling -- Chapter 4 - Accuracy Assessment for Soft Classification Maps -- Chapter 5 - Spatial Uncertainty Analysis When Mapping Natural Resources Using Remotely Sensed Data -- Chapter 6 - Land Use/Land Cover Classification in the Brazilian Amazon with Different Sensor Data and Classification Algorithms -- Chapter 7 - Vegetation Change Detection in the Brazilian Amazon with Multitemporal Landsat Images -- Chapter 8 - Extraction of Impervious Surfaces from Hyperspectral Imagery: Linear versus Nonlinear Methods -- Chapter 9 - Road Extraction: A Review of LiDAR-Focused Studies -- Chapter 10 - Application of Remote Sensing in Ecosystem and Landscape Modeling -- Chapter 11 - Plant Invasion and Imaging Spectroscopy -- Chapter 12 - Assessing Military Training-Induced Landscape Fragmentation and Dynamics of Fort Riley Installation Using Spatial Metrics and Remotely Sensed Data -- Chapter 13 - Automated Individual Tree-Crown Delineation and Treetop Detection with Very-High-Resolution Aerial Imagery -- Chapter 14 - Tree Species Classification -- Chapter 15 - Estimation of Forest Stock and Yield Using LiDAR Data -- Chapter 16 - National Forest Resource Inventory and Monitoring System -- Chapter 17 - Remote Sensing Applications on Crop Monitoring and Prediction -- Chapter 18 - Remote Sensing Applications to Precision Farming -- Chapter 19 - Mapping and Uncertainty Analysis of Crop Residue Cover Using Sequential Gaussian Cosimulation with QuickBird Images. Chapter 20 - Remote Sensing of Leaf Area Index of Vegetation Covers -- Chapter 21 - LiDAR Remote Sensing of Vegetation Biomass -- Chapter 22 - Carbon Cycle Modeling for Terrestrial Ecosystems -- Chapter 23 - Remote Sensing Applications to Modeling Biomass and Carbon of Oceanic Ecosystems -- Chapter 24 - Wetland Classification -- Chapter 25 - Remote Sensing Applications to Monitoring Wetland Dynamics: A Case Study on Qinghai Lake Ramsar Site, China -- Chapter 26 - Hyperspectral Sensing on Acid Sulfate Soils via Mapping Iron-Bearing and Aluminum-Bearing Minerals on the Swan Coastal Plain, Western Australia -- Back Cover. "… a comprehensive view on and real world examples of remote sensing technologies in natural resources assessment and monitoring. … state-of-the-art knowledge in this multidisciplinary field. Readers can expect to finish the book armed with the required knowledge to understand the immense literature available and apply their knowledge to the understanding of sampling design, the analysis of multi-source imagery, and the application of the techniques to specific problems relevant to natural resources."-Yuhong He, University of Toronto Mississauga, Ontario, Canada"The list of topics covered is so complete that I would recommend the book to anyone teaching a graduate course on vegetation analysis through digital image analysis. … I recommend this book then for anyone doing advanced digital image analysis and environmental GIS courses who want to cover topics related to applied remote sensing work involving vegetation analysis."-Charles Roberts, Florida Atlantic University, Boca Raton, USA, in Economic Botany. Weng, Qihao 9781466556928 print version oai:cds.cern.ch:2277910 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1316400 ebook ebook EBL Natural resources -- Remote sensing EBL201708 Engineering SzGeCERN BOOK n 201732 201708 21 PUBLIC BOOK DELETED 2286211 SzGeCERN 20210423003627.0 ISO-14010 fre 03.120.20 13.020.10 International Organization for Standardization. Geneva Lignes directrices pour l'audit environnemental : principes généraux Geneva ISO 1996 10 p SzGeCERN Engineering CERN standards, environmental management systems STANDARD English version 488401 Language 1352718 1192466 http://cds.cern.ch/record/2286211/files/14010F.pdf 1352718 2186985 http://cds.cern.ch/record/2286211/files/14010F.pdf?subformat=pdfa pdfa h 201739 21 https://catalogue.library.cern/legacy/2286211 BOOK STANDARD MIGRATED 2285008 SzGeCERN 20210423003651.0 ISO-19011 eng 03.120.10 13.020.10 International Organization for Standardization. Geneva Guidelines for quality and/or environmental management systems auditing 1st ed. Geneva ISO 2002 38 p SzGeCERN Engineering CERN standards, environmental management systems STANDARD French version 1295894 Language 1350367 1510653 http://cds.cern.ch/record/2285008/files/D031169E.PDF h 201738 21 https://catalogue.library.cern/legacy/2285008 BOOK STANDARD MIGRATED 2284989 SzGeCERN 20250515231604.0 oai:inspirehep.net:882615 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:882615 2017-09-19T10:54:50Z 2017-09-20T04:51:07Z marcxml Inspire 882615 eng CERN-THESIS-2002-075 Messomo, Etam Albert Noah Imperial Coll., London Radiation and Temperature Effects on the APV25 Readout Chip for the CMS Tracker 2002 2002 141 p PhD Imperial Coll., London 2002 The Compact Muon Solenoid (CMS) is one of four particle detectors designed for use at the Large Hadron Collider (LHC) currently under construction at CERN, the European Laboratory for Particle Physics in Geneva. The LHC will accelerate two counterrotating beams of protons to energies of 7 TeV and produce 109 proton-proton collisions per second at a bunch-crossing frequency of 40 MHz. These collisions occuring at the centre of CMS will generate a very hostile radiation environment. The CMS sub-detector system closest to the collision point is the highly segmented Tracker, consisting of a silicon pixel detector with 45 million channels and a silicon microstrip detector with 10 million channels. The microstrip detector will be read out by the APV25, a custom-made chip manufactured in a commercial 0.25 µm CMOS microelectronics process. Radiation and temperature studies are required to ensure that the APV25 can operate reliably in the CMS environment. The radiation effects to which the APV25 could be susceptible are total dose effects and single event effects (SEE), such as single event upsets (SEU), single event gate ruptures (SEGR) and single event latchups (SEL). Approximately 75 000 chips will be used in CMS and confidence in total dose radiation tolerance will come from irradiating a subset of these chips to the radiation levels expected at CMS. For this purpose, a total dose radiation testing procedure was set up and the results obtained on a set of chips are presented, along with a detailed analysis of effects on discrete transistors. The need to periodically reset the chip during operation at CMS was determined from SEU tests. Along with transistor measurements, these also demonstrate immunity to SEGR and SEL. The APV25 will be operated at –10 o C in CMS. Until recently, all testing of the chip was carried out at room temperature. An environmental chamber with a temperature range of 130o C to –40o C was used to investigate temperature effects on the APV25. The measurements performed provide strong evidence that the APV25 will be fully functional throughout the lifetime of the CMS experiment. This is largely due to a combination of special design rules and intrinsic total dose radiation tolerance attributed to the thin gate oxide of the 0.25 µm CMOS process. SzGeCERN CERN THESIS CERN LHC CMS Hall, Geoff dir. Imperial Coll., London 1350342 3749437 http://cds.cern.ch/record/2284989/files/Noah.pdf Fulltext 1353888 3787275 http://cds.cern.ch/record/2284989/files/Noah_2.pdf 14 https://repository.cern/legacy/record/2284989 THESIS MIGRATED 390839 CMS Collaboration The Compact Muon Solenoid Technical Proposal LHCC/P1 1 CERN-LHCC-94-38 1994 CMS Collaboration The CMS Tracker Project Technical Design Report 2 CERN-LHCC-98-6 1998 M.Friedl The CMS Silicon Strip Tracker and its Electronic Readout, Ph.D. Thesis, Vienna University of Technology 3 2001 455857 M.Raymond, G.Hall, M.Millmore, M.J.French, L.L.Jones, and P.Murray The APV6 Readout Chip for CMS Microstrip Detectors, Proceedings of the Third Workshop on Electronics for LHC Experiments 158-162 4 CERN-LHCC-97-60 1997 J.D.Berst, C.Colledani, J.Croix, R.Dellanegra, G.Deptuch, W.Dulinski, M.Dupanloup, S.Gardien, U.Goerlach, C.Hoffmann, C.Hu-Guo, Y.Hu, T.D.Le Ph.Schmitt, J.L.Sohler, R.Turchetta, and Y.Zinzinus Recent Developments and Results on APV(DMILL) Circuits for Silicon and MSGC Detectors, Proceedings of the Fifth Workshop on Electronics for LHC Experiments 108-112 5 CERN-LHCC-9933 1999 J.V.Osborn, R.C.Lacoe, D.C.Mayer, and G.Yabiku Total Dose Hardness of Three Commercial CMOS Microelectronics Foundries, IEEE Trans.Nucl.Sci., Vol. NS-45, No. 3, 1458-1463 6 1998 492280 F.Faccio, G.Anelli, M.Campbell, M.Delmastro, P.Jarron, K.Kloukinas, A.Marchioro, P.Moreira, E.Noah, W.Snoeys, T.Calin, J.Cosculluela, R.Velazco, M.Nicolaidis, and A.Giraldo Total Dose and Single Event Effects (SEE) in a 0.25µm CMOS Technology, Proceedings of the Fourth Workshop on Electronics for LHC Experiments 105-113 7 CERN-LHCC-98-36 1998 L.L.Jones, M.J.French, Q.Morrissey, A.Neviani, M.Raymond, G.Hall, P.Moreira, and G.Cervelli The APV25 Deep Submicron Readout Chip for CMS Detectors, Proceedings of the Fifth Workshop on Electronics for LHC Experiments 162-166 8 CERN-LHCC-99-33 1999 W.Snoeys, F.Faccio, M.Burns, M.Campbell, E.Cantatore, N.Carrer, L.Casagrande, A.Cavagnoli, C.Dachs, S.Di Liberto, F.Formenti, A.Giraldo, E.Heijne, P.Jarron, M.Letheren, A.Marchioro, P.Martinengo, F.Meddi, B.Mikulec, M.Morando, M.Morel, E.Noah, A.Paccagnella, I.Ropotar, S.Saladino, W.Sansen, F.Santopietro, F.Scarlassara, G.F.Segato, P.M.Signe, F.Soramel, L.Vannuci, and K.Vleugels Layout Techniques to Enhance the Radiation Tolerance of Standard CMOS Technologies Demonstrated on a Pixel Readout Chip, Nucl.Instr.and Meth.A Vol. 439, 349-360 9 2000 M.J.French, L.L.Jones, Q.Morrissey, A.Neviani, R.Turchetta, J.Fulcher, G.Hall, E.Noah, M.Raymond, G.Cervelli, P.Moreira, and G.Marseguerra Design and Results from the APV25, a Deep Sub-micron CMOS Front-end Chip for the CMS Tracker, Nucl.Instr.and Meth.A Vol. 466, 359-365 10 2001 S.M.Sze Semiconductor Devices Physics and Technology, Ed. 2, John & Sons, New York 11 Wiley 2002 S.Braibant, N.Demaria, L.Feld, A.Frey, A.Furtjes, W.Glessing, R.Hammerstrom, A.Honma, M.Mannelli, C.Mariotti, P.Mattig, E.Migliore, S.Piperov, O.Runolfsson, B.Schmitt, A.Soldner-Rembold, and B.Surrow Investigation of Design Parameters for Radiation Hard Silicon Microstrip Detectors, Nucl.Instr.and Meth.A Vol. 485, 343-361 12 2002 522621 G.F.Knoll Ed. 3, John & Sons, New York 13 Wiley RADIATION DETECTION AND MEASUREMENT 2000 R.D.Isaac The Future of CMOS Technology, IBM J.Res Develop., Vol. 44, No. 3 14 2000 A.Brand, A.Hatanahalli, N.Hsieh, Y.C.Lin, G.Sery, N.Stenton, B.J.Woo, S.Ahmed, M.Bohr, S.Thompson, and S.Yang Intel's 0.25 Micron, 2.0 Volts Logic Process Technology, Intel Technology Journal, Q3'98 15 1998 C.D.Motchenbacher and J.A.Connelly Low-Noise Electronic System Design, John & Sons, New York 16 Wiley 1993 F.Faccio Etude des Transistors MOS Avancés sur Silicium sur Isolant (SOI): Bruit, Dégradation en Environnement Radiatif et Applications, Ph.D. Thesis, Institut National Polytechnique de Grenoble, Grenoble 17 1997 M.Raymond, G.Hall, M.Millmore, R.Sachdeva, M.French, E.Nygard, and K.Yoshioka Measurements of Transistors and Silicon Microstrip Detector Readout Circuits in the Harris AVLSIRA Rad-hard CMOS Process, Nucl.Instr.and Meth.A Vol. 351, 449-459 18 1994 A.L.McWorther Semiconductor Surface Physics, University of Pennsylvania Press, Philadelphia 19 1956 E.H.Nicollian and J.R.Brews MOS (Metal Oxide Semiconductor) Physics and Technology, John & Sons, New York 20 Wiley 1982 F.N.Hooge 1/f Noise, Physica B, Vol. 83 21 1976 A.Candelori, D.Contarato, N.Bacchetta, D.Bisello, G.Hall, E.Noah, M.Raymond, and J.Wyss High-Energy Ion Irradiation Effects on Thin Oxide pChannel MOSFETs 22 IEEE Trans.Nucl.Sci.,49,1364-1371 2002 J.R.Schwank Basic Mechanisms of Radiation Effects in the Natural Space Environment Nuclear Space and Radiation Effects Conference Short Course, Tucson, Arizona 23 IEEE 1994 G.A.Ausman and F.B.McLean Electron-Hole Pair Creation Energy in SiO2 24 Appl.Phys.Lett.,26,173 1975 T.P.Ma and P.V.Dressendorfer Ionizing Radiation Effects in MOS Devices and Circuits, John & Sons, New York 25 Wiley 1989 G.Anelli, M.Campbell, C.Dachs, F.Faccio, A.Giraldo, E.Heijne, P.Jarron, A.Marchioro, E.Noah, A.Paccagnella, P.M.Signe, W.Snoeys, and K.Vleugels Total Dose Behaviour of Submicron and Deep Submicron CMOS Technologies, Proceedings of the Third Workshop on Electronics for the LHC Experiments, London 26 1997 N.S.Saks, M.G.Ancona, and J.A.Modolo Radiation Effects in MOS Capacitors with Very Thin Oxides at 80 K, IEEE Trans.Nucl.Sci., Vol. NS-31, 1249 27 1984 J.M.Benedetto, H.E.Boesch Jr., F.B.McLean, and J.P.Mize Hole Removal in Thin-Gate MOSFETs by Tunneling, IEEE Trans.Nucl.Sci., Vol. NS-32, 3916 28 1985 P.M.Lenahan and P.V.Dressendorfer Hole Traps and Trivalent Silicon Centers in Metal/Oxide/Silicon Devices 29 J.Appl.Phys.,55,3495-3499 1985 N.S.Saks, M.G.Ancona, and J.A.Modolo Generation of Interface States by Ionizing Radiation in Very Thin MOS Oxides, IEEE Trans.Nucl.Sci., Vol. NS33, No. 6, 1185-1187 30 1986 D.Johnson Radiation Hard Microelectronics for the Large Hadron Collider, MSci Project Report, Imperial College, London 31 2001 T.L.Meisenheimer and D.M.Fleetwood Effect of Radiation-Induced Charge On 1/f Noise in MOS Devices, IEEE Trans.Nucl.Sci., Vol. NS-37, 1696-1702 32 1990 T.L.Meisenheimer, D.M.Fleetwood, M.R.Shaneyfelt, and L.C.Riewe 1/f Noise in n- and p-channel MOS Devices Through Irradiation and Annealing, IEEE Trans.Nucl.Sci., Vol. NS-38, No. 6, 1297-1303 33 1991 T.R.Oldham, A.J.Lelis, H.E.Boesch Jr., J.M.Benedetto, F.B.McLean, and J.M.McGarrity Post-Irradiation Effects in Field-Oxide Isolation Structures, IEEE Trans.Nucl.Sci., Vol. NS-34, 1184 34 1987 G.Anelli, F.Anghinolfi, M.Campbell, J.Christiansen, W.Dabrowski, F.Faccio, E.Heijne, P.Jarron, K.Kloukinas, M.Letheren, A.Marchioro, P.M.Signe, and W.Snoeys Rad-Tolerant Design using Commercial VLSI Technologies, Addendum to P63 proposal for studying radiation tolerant ICs for LHC LEB P63 add.1 35 CERN-LHCC-97-24 1997 G.Anelli, M.Campbell, M.Delmastro, F.Faccio, S.Florian, A.Giraldo, E.Heijne, P.Jarron, K.Kloukinas, A.Marchioro, P.Moreira, and W.Snoeys Radiation Tolerant VLSI Circuits in Standard Deep Submicron CMOS Technologies for the LHC Experiments: Pratical Design Aspects, IEEE Trans.Nucl.Sci., Vol. NS46, No. 6, 1690-1696 36 1999 M.R.Shaneyfelt, D.M.Fleetwood, P.S.Winokur, J.R.Schwank, and T.L.Meisenheimer Effects of Device Scaling and Geometry on MOS Radiation Hardness Assurance, IEEE Trans.Nucl.Sci., Vol. NS-40, No. 6, 1678-1685 37 1993 M.R.Shaneyfelt, P.S.Winokur, T.L.Meisenheimer, F.W.Sexton, S.B.Roeske, and M.G.Knoll Hardness Variability in Commercial Technologies, IEEE Trans.Nucl.Sci., Vol. NS-41, No. 6, 2536-2543 38 1994 876099 F.Faccio, C.Detcheverry, and M.Huhtinen First Evaluation of the Single Event Upset (SEU) Risk for Electronics in the CMS Experiment 39 CMS-NOTE-1998-054 1998 C.Detcheverry, C.Dachs, E.Lorfevre, C.Sudre, G.Bruguier, J.M.Palau, J.Gasiot, and R.Ecoffet SEU Critical Charge and Sensitive Area in a Submicron CMOS Technology, IEEE Trans.Nucl.Sci., Vol. NS-44, No. 6, 2266-2273 40 1997 F.Faccio, C.Detcheverry, and M.Huhtinen Estimate of the Single Event Upset (SEU) Rate in CMS, Proceedings of the Fourth Workshop on Electronics for LHC Experiments, Rome 41 1998 F.Faccio, G.Anelli, M.Campbell, M.Delmastro, P.Jarron, K.Kloukinas, A.Marchioro, P.Moreira, E.Noah, and W.Snoeys Total Dose and Single Event Effects (SEE) in a 0.25 µm CMOS Technology, Proceedings of the Fourth Workshop on Electronics for LHC Experiments, Rome 42 1998 A.H.Johnston Radiation Effects in Advanced Microelectronics Technologies, IEEE Trans.Nucl.Sci., Vol. NS-45, No. 3, 1339-1354 43 1998 F.W.Sexton, D.M.Fleetwood, M.R.Shaneyfelt, P.E.Dodd, and G.L.Hash Single Event Gate Rupture in Thin Gate Oxides, IEEE Trans.Nucl.Sci., Vol. NS-44, No. 6, 2345-2352 44 1997 L.W.Massengill, B.K.Choi, D.M.Fleetwood, R.D.Schrimpf, K.F.Galloway, M.R.Shaneyfelt, T.L.Meisenheimer, P.E.Dodd, J.R.Schwank, Y.M.Lee, R.S.Johnson, and G.Lucovsky Heavy-Ion-Induced Breakdown in Ultra-Thin Gate Oxides and High-k Dielectrics, IEEE Trans.Nucl.Sci., Vol. NS-48, No. 6,-1912, 2001 45 1904 F.W.Sexton, D.M.Fleetwood, M.R.Shaneyfelt, P.E.Dodd, and G.L.Hash Precursor Ion Damage and Angular Dependence of Single Event Gate Rupture in Thin Oxides, IEEE Trans.Nucl.Sci., Vol. NS-45, No. 6, 2509-2518 46 1998 A.H.Johnston, G.W.Swift, T.Miyahira, and L.D.Edmonds Breakdown of Gate Oxides During Irradiation with Heavy Ions, IEEE Trans.Nucl.Sci., Vol. NS-45, No. 6, 2500-2508 47 1998 M.Ceschia, A.Paccagnella, S.Sandrin, G.Ghidini, J.Wyss, M.Lavale, and O.Flament Low Field Leakage Current and Soft Breakdown in Ultra-Thin Gate Oxides After Heavy Ions, Electrons or X-ray Irradiation IEEE Trans.Nucl.Sci., Vol. NS-47, No. 3, 566-573 48 2000 A.Scarpa, A.Paccagnella, F.Montera, G.Ghibaudo, G.Pananakakis, G.Ghidini, and P.G.Fuochi Ionizing Irradiation Induced Leakage Current on Ultra-Thin Gate Oxides, IEEE Trans.Nucl.Sci., Vol. NS-44, No. 6, 1818-1825 49 1997 M.Ceschia, A.Paccagnella, A.Cester, A.Scarpa, and G.Ghidini Radiation Induced Leakage Current and Stress Induced Leakage Current in Ultra-Thin Gate Oxides, IEEE Trans.Nucl.Sci., Vol. NS-45, No. 6, 2375-2382 50 1998 876099 F.Faccio, C.Detcheverry, and M.Huhtinen First evaluation of the Single Event Upset (SEU) risk for electronics in the CMS experiment 51 CMS-NOTE-1998-054 1998 M.Huhtinen and F.Faccio Computational Method to Estimate Single Event Upset Rates in an Accelerator Environment, Nucl.Instr.and Meth.A No. 450, 155-172 52 2000 A.H.Johnston The Influence of VLSI Technology Evolution on RadiationInduced Latchup in Space Systems 53 IEEE Trans.Nucl.Sci.,43,505521 1996 F.Faccio, K.Kloukinas, A.Marchioro, T.Calin, J.Cosculluela, M.Nicolaidis, and R.Velazco Single Event Effects in Static and Dynamic Registers in a 0.25µm CMOS Technology 54 IEEE Trans.Nucl.Sci.,46,1434-1439 1999 B.G.Streetman and S.Banerjee Solid State Electronic Devices, Ed. 5 New Jersey 55 Prentice-Hall 2000 R.A.Blauschild, P.A.Tucci, R.S.Muller, and R.G.Meyer A New Temperature Stable Voltage Reference, IEEE Journal of Solid-State Circuits, Vol. SC-19, No. 6, 767-774 56 1978 R.A.Smith Semiconductors, Ed. 2, Cambridge, London 57 1978 J.L.Moll Physics of Semiconductors New York 58 McGraw-Hill 1964 540377 A.H.Ball CMS Electronics, Proceedings of the Sixth Workshop on Electronics for LHC Experiments 59 CERN-LHCC-2000-041 2000 G.Hall LHC Front-End Electronics, Nucl.Instr.and Meth.A Vol. 453, 353-364 60 2000 540377 D.Kotlinski, R.Baur, K.Gabathuler, R.Horisberger, R.Schnyder, and W.Erdmann Readout of the CMS Pixel Detector, Proceedings of the Sixth Workshop on Electronics for LHC Experiments 61 CERN-LHCC-2000-041 2000 M.Atac, E.Bartz, G.Bolla, D.Bortoletto, C.Y.Chien, L.Cremaldi, J.Doroshenko, K.Giolo, B.Gobbi, P.Gomez, G.Grim, T.Koeth, Y.Kozhevnikov, R.Lander, S.Malik, D.Pellett, L.Perera, M.Pernicka, C.Rott, A.Roy, D.Sanders, S.Schnetzer, H.Steininger, R.Stone, M.Swartz, R.Tilden, and X.Xie Beam Test Results of the US-CMS Forward Pixel Detector, Nucl.Instr.and Meth.A Vol. 488, No. 271, 281 62 2002 D.Kotlinski The Design of the CMS Pixel Detector System, Nucl.Instr.and Meth.A Vol. 477, 446-450 63 2002 515713 R.Baur and W.Bertl The CMS Pixel Vertex Detector 64 Nucl.Phys.Proc.Suppl.,78,293-300 1999 876308 M.Barbero, R.Baur, K.Gabathuler, and R.Horisberger Pion Induced Single Event Upset in the CMS Pixel Detector Readout 65 CMS-NOTE-2000-036 2000 H.C.Kastli Design and Performance of the CMS Pixel Readout Chip, Proceedings of the Eighth Workshop on Electronics for LHC Experiments 2 66 CERN-LHCC-2002-200 E.Focardi The CMS Silicon Strip Tracker, Nucl.Instr.and Meth.A Vol. 435, 102-108 67 1999 540377 F.Vasey Project Status of the CMS Tracker Optical Links, Proceedings of the Sixth Workshop on Electronics for LHC Experiments 68 CERN-LHCC-2000-041 2000 540377 F.Faccio Status of the 80Mbit/s Receiver for the CMS Digital Optical Link, Proceedings of the Sixth Workshop on Electronics for LHC Experiments 69 CERN-LHCC-2000-041 2000 409503 A.Baird, J.Dowell, P.Duthie, K.Gill, M.Glick, N.P.Green, G.Hall, R.Halsall, G.Jarlskog, L.Kennedy, I.Kenyon, A.J.Moseley, S.Quinton, D.Robbins, G.Stefanini, D.S.Streames-Smith, N.W.Try, F.Vasey, and K.Webster Analog Lightwave Links for Detector Front-Ends at the LHC 70 IEEE Trans.Nucl.Sci.,42,873-881 1995 540377 J.A.Coughlan Design of the Front-End Driver Card for the CMS Silicon Microstrip Tracker Readout, Proceedings of the Sixth Workshop on Electronics for LHC Experiments 71 CERN-LHCC-2000-041 2000 A.Zghiche Test of the CMS Microstrip Silicon tracker readout and control system, Nucl.Instr.and Meth.A Vol. 461, 470-473 72 2001 A.Marchioro, G.Cervelli, C.Ljuslin, G.Magazzu, E.Murer, and C.Paillard The CMS Tracker Control System Training%20on%20Tracker%20Control%20System%20July%20.pdf 73 http://cmstrackercontrol.web.cern.ch/CMSTrackerControl/documents/Training/ 2002 482082 F.Vasey, V.Arbet-Engels, J.Batten, G.Cervelli, K.Gill, R.Grabit, and C.Mommaert Development of Radiation-Hard Optical Links for the CMS Tracker at CERN 74 IEEE Trans.Nucl.Sci.,45,331-337 1998 K.Gill, R.Grabit, M.Persello, G.Stefanini, and F.Vasey Gamma and Neutron Radiation Damage Studies of Optical Fibres 75 J.Noncryst.Solids,216,129-134 1997 G.Hall Analogue Optical Data Transfer for the CMS Tracker, Nucl.Instr.and Meth.A Vol. 386, 138-142 76 1997 537008 K.Gill, C.Azcvedo, J.Batten, G.Cervelli, R.Grabit, F.Jensen, J.Troska, and F.Vasey Ageing Tests of Radiation Damaged Lasers and Photodiodes for the CMS Experiment at CERN 77 IEEE Trans.Nucl.Sci.,47,667-674 2000 C.Paillard, C.Ljuslin, and A.Marchioro The CCU25: a Network Oriented Communication and Control Unit Integrated Circuit in a 0.25 µm CMOS Technology, Proceedings of the Eighth Workshop on Electronics for LHC Experiments 2 78 CERN-LHCC-2002-200 459320 CMS Collaboration CMS Electromagnetic Calorimeter Technical Design Report 79 CERN-LHCC-97-33 1997 B.Lofstedt The Digital Readout System for the CMS Electromagnetic Calorimeter, Nucl.Instr.and Meth.A Vol. 453, 433-439 80 2000 492280 P.Denes Digitization and Data Transmission for the CMS Electromagnetic Calorimeter, Proceedings of the Fourth Workshop on Electronics for LHC Experiments 81 CERN-LHCC-98-36 1998 P.Sharp ECAL Electronics Project Status March, CMS MB April 82 2002 568593 P.Denes, J-M.Bussat, W.Lustermann, H.Mathez, P.Pangaud, and J-P.Walder Light-to-Light Readout System of the CMS Electromagnetic Calorimeter 83 IEEE Trans.Nucl.Sci.,48,499-503 2001 492280 J-P.Walder Analog Signal Processing for the CMS Electromagnetic Calorimeter, Proceedings of the Fourth Workshop on Electronics for LHC Experiments 84 CERN-LHCC-98-36 1998 571891 J-P.Walder, J-M.Bussat, P.Denes, H.Mathez, and P.Pangaud Custom Integrated Front-End Circuit for the CMS Electromagnetic Calorimeter 85 IEEE Trans.Nucl.Sci.,48,2375-2379 2001 E.Tournefier The Preshower Detector of CMS at LHC, Nucl.Instr.and Meth.A Vol. 461, 355-360 86 2001 K.Kloukinas Digital Front-End Electronics, Preshower Meeting, CMS Week Dec 87 2001 P.Aspell CMS Preshower Front-End Electronics Status, Preshower Meeting, CMS Week Dec 88 2001 P.Aspell, D.Barney, P.Bloch, P.Jarron, B.Lofstedt, S.Reynaud, and P.Tabbers Delta: a Charge Sensitive Front-End Amplifier with Switched Gain for LowNoise, Large Dynamic Range Silicon Detector Readout, Nucl.Instr.and Meth.A Vol. 461, 449-455 89 2001 463209 CMS Collaboration CMS Hadron Calorimeter Technical Design Report 90 CERN-LHCC-97-31 1997 P.Cushman, A.Heering, and A.Ronzhin Custom HPD readout for the CMS HCAL, Nucl.Instr.and Meth.A Vol. 442, 289-294 91 2000 P.Cushman, A.Heering, J.Nelson, C.Timmermans, S.R.Dugad, S.Katta, and S.Tonwar Multi-Pixel Hybrid Photodiode Tubes for the CMS Hadron Calorimeter, Nucl.Instr.and Meth.A Vol. 387, 107-112 92 1997 J.Whitmore, A.Baumbaugh, J.E.Elias, S.Holm, K.Knickerbocker, S.Los, C.Rivetta, A.Ronzhin, A.Shenai, R.Yarema, and T.Zimmerman Radiation Validation for the CMS HCAL Front-End Electronics, Proceedings of the Eighth Workshop on Electronics for LHC Experiments 2 93 CERN-LHCC-2002-200 459319 CMS Collaboration The CMS Muon Project Technical Design Report 94 CERN-LHCC-97-32 1997 R.E.Breedon, B.Bylsma, L.S.Durkin, J.Gilmore, J.Gu, J.Hauser, B.Holbrook, C.L.Ki, T.Y.Ling M.von der Mey, P Murray, C.J.Rush, J.C.Santiard, and M.Tripathi Results of Radiation Test of the Cathode Front-End Board for CMS Endcap Muon Chambers, Nucl.Instr.and Meth.A Vol. 471, 340-347 95 2001 G.Mitselmakher Muons CSCs, Meeting with CMS LHCC Referees (LHCC58), CMS Document-011, May 13 & 14 96 2002 P.Giacomelli The CMS Muon Detector, Nucl.Instr.and Meth.A Vol. 478, 147152 97 2002 M.Brugger, M.Fierro, and C-E.Wulz Drift Tube Based Pseudorapidity Assignment of the Level-1 Muon Trigger for the Compact Muon Solenoid Experiment at CERN, Nucl.Instr.and Meth.A Vol. 482, 254-270 98 2002 M.C.Fouz The CMS Muon System, Nucl.Instr.and Meth.A Vol. 446, 366-372 99 2000 M.Cerrada Construction and Test of the Final CMS Barrel Drift Tube Muon Chamber Prototype, Nucl.Instr.and Meth.A Vol. 480, 658-669 100 2002 C.Fernandez, J.Alberdi, J.Marin, J.C.Oller, and C.Willmott Design and Performance Testing of the Read-Out Boards for the CMS - DT Chambers, Proceedings of the Eighth Workshop on Electronics for LHC Experiments 2 101 CERN-LHCC-2002-200 S.Altieri, G.Belli, G.Bruno, R.Guida, M.Merlo, S.P.Ratti, C.Riccardi, P.Torre, P.Vitulo, E.R.Mognaschi, M.Abbrescia, A.Colaleo, G.Iaselli, F.Loddo, M.Maggi, B.Marangelli, S.Natali, S.Nuzzo, G.Pugliese, A.Ranieri, and F.Romano The Bakelite for the RPCs of the Experiment CMS, Nucl.Instr.and Meth.A Vol. 456, 132-136 102 2000 M.Abbrescia, A.Colaleo, G.Iaselli, F.Loddo, M.Maggi, B.Marangelli, S.Natali, S.Nuzzo, G.Pugliese, A.Ranieri, F.Romano, S.Altieri, O.Barnaba, G.Belli, G.Bruno, G.Musitelli, R.Nardo, S.P.Ratti, C.Riccardi, P.Torre, and P.Vitulo New Developments on Front-End Electronics for the CMS Resistive Plate Chambers, Nucl.Instr.and Meth.A Vol. 456, 143-149 103 2000 M.Abbrescia, A.Colaleo, G.Iaselli, F.Loddo, M.Maggi, B.Marangelli, S.Natali, S.Nuzzo, G.Pugliese, A.Ranieri, F.Romano, S.Altieri, G.Belli, G.Bruno, R.Guida, M.Merlo, S.P.Ratti, C.Riccardi, P.Torre, P.Vitulo, A.de Bari, and S.Manera Neutron-Induced Single Event Upset on the RPC Front-End Chips for the CMS Experiment, Nucl.Instr.and Meth.A Vol. 484, 494-502 104 2002 S.H.Ahn, R.Amirikas, S.Y.Bahk, K.M.Baik, V.A.Gapienko, B.Hong, S.J.Hong, J.Y.Kim, K.H.Kim, Y.J.Kim, Y.U.Kim, D.G.Koo, K.S.Lee, S.J.Lee, I.T.Lim, S.K.Nam, M.Y.Pac, S.Park, J.T.Rhee, S.W.Seo, and K.S.Sim Beam Test Result of a Large Real-Size RPC for the CMS/LHC Experiment, Nucl.Instr.and Meth.A Vol. 456, 23-28 105 2000 M.Abbrescia, S.Altieri, G.Belli, G.Bruno, A.Colaleo, I.Crotty, B.D'Ercole, G.Gianini, G.Iaselli, F.Loddo, M.Maggi, B.Marangelli, S.Natali, S.Nuzzo, G.Pugliese, A.Ranieri, S.P.Ratti, C.Riccardi, F.Romano, P.Torre, L.Viola, and P.Vitulo Performance of the First RPC Station Prototype for the CMS Barrel Detector, Nucl.Instr.and Meth.A Vol. 456, 103-108 106 2000 P.Weilhammer Overview: Silicon Vertex Detectors and Trackers, Nucl.Instr.and Meth.A Vol. 453, 60-70 107 2000 C.M.Dozier and D.B.Brown Photon Energy Dependence of Radiation Effects in MOS Structures Trans.Nuc.Sci., Vol. NS-27, No. 6 108 IEEE 1980 C.M.Dozier and D.B.Brown Effect of Photon Energy on the Response of MOS Devices Trans.Nuc.Sci., Vol. NS-28, No. 6 109 IEEE 1981 T.R.Oldham and J.M.McGarrity Comparison of 60 Co Response and 10 keV XRay Response in MOS Capacitors Trans.Nuc.Sci., Vol. NS-30, No. 6 110 IEEE 1983 C.M.Dozier and D.B.Brown The Use of Low Energy X-Rays for Device Testing - A Comparison with Co-60 Radiation Trans.Nuc.Sci., Vol. NS-30, No. 6 111 IEEE 1983 J.M.Benedetto and H.E.Boesch Jr, The Relationship Between 60Co and 10 keV X-ray Damage in MOS Devices Trans.Nuc.Sci., Vol. NS-33, No. 6 112 IEEE 1986 C.M.Dozier, D.M.Fleetwood, D.B.Brown, and P.S.Winokur An Evaluation of Low-Energy X-ray and Cobalt-60 Irradiations of MOS Transistors Trans.Nuc.Sci., Vol. NS-34, No. 6 113 IEEE 1987 J.M.Benedetto, H.E.Boesch Jr, and F.B.McLean, Dose and Energy Dependence of Interface Trap Formation in Cobalt-60 and X-ray Environments Trans.Nuc.Sci., Vol. NS-35, No. 6 114 IEEE 1988 M.R.Shaneyfelt, D.M.Fleetwood, J.R.Schwank, and K.L.Hughes Charge Yield for Cobalt-60 and 10 keV X-ray Irradiations of MOS Devices Trans.Nuc.Sci., Vol. NS-38, No. 6 115 IEEE 1991 Seifert X-ray (U.K.) Limited, Technical Documentation, RP149 EG07660, Olney 116 1999 X-ray Tester Standard Guide for Use of an (~10 keV Photons) in Ionizing Radiation Effects Testing of Microelectronics Devices, American Society for Testing and Materials (ASTM) Designation F 1467-93 117 1993 1235810 B.L.Henke, E.M.Gullikson, and J.C.Davis X-ray Interactions : Photoabsorption, Scattering, Transmission, and Reflection at E=50-30000eV, Z=1-92 118 Atom.Data Nucl.Data Tabl.,54,181-342 1993 L.J.Palkuti and J.J.LePage X-ray Wafer Probe for Total Dose Testing Trans.Nuc.Sci., Vol. NS-29, No. 6, 1-6 119 IEEE 1982 A.Papanestis Measurements of Features of the Seifert RP149 X-ray Machine (IC), University College London, Department of Medical Physics and Bioengineering 120 2000 C.Dachs, F.Faccio, A.Giraldo, E.Heijne, P.Jarron, K.Kloukinas, A.Marchioro, and A.Paccagnella Total Dose Behaviour of Commercial Submicron VLSI Technologies at Low Dose Rate, Proceedings of the Third Workshop on Electronics for LHC Experiments, London 121 1997 M.Raymond, G.Hall, M.Millmore, R.Sachdeva, M.French, E.Nygard, and K.Yoshioka Measurements of transistors and silicon microstrip detector readout circuits in the Harris AVLSIRA rad-hard CMOS process, Nucl.Instr.and Meth.A Vol. 351, 449-459 122 1994 540377 E.Noah, N.Bacchetta, D.Bisello, A.Candelori, I.Dindoyal, P.G.Fuochi, M.J.French, G.Hall, M.Raymond, and M.Vassanelli Total Dose Irradiation of a 0.25 µm Process, Proceedings of the Sixth Workshop on Electronics for LHC Experiments, Cracow, Poland 123 CERN-LHCC-2000-041 2000 J.R.Fulcher Radiation Effects in Electronics for the CMS Tracking Detector, Ph.D., Imperial College & CLRC Thesis RAL-TH--007 124 2001 540377 M.Raymond, G.Cervelli, M.French, J.Fulcher, G.Hall, L.Jones, L-K.Lim, G.Marseguerra, P.Moreira, Q.Morrissey, A.Neviani, and E.Noah The CMS Tracker APV25 0.25 µm CMOS Readout Chip, Proceedings of the Sixth Workshop on Electronics for LHC Experiments 125 CERN-LHCC-2000-041 2000 L.Jones APV25-S1 User Guide Version 2.2 126 http://www.te.rl.ac.uk/med/projects/High_Energy_Physics/CMS/APV25S1/pdf/User_Guide_2.2.pdf 2001 C.Detcheverry, R.Ecoffet, S.Duzellier, E.Lorfevre, G.Bruguier, J.Barak, Y.Lifshitz, J.M.Palau, and J.Gasiot SEU Sensitive Depth in a Submicron SRAM Technology Trans.Nuc.Sci., Vol. NS-45, No. 3, 1612-1616 127 IEEE 1998 C.Brothers, R.Pugh, P.Duggan, J.Chavez, D.Schepis, D.Yee, and S.Wu TotalDose and SEU Characterization of 0.25 Micron CMOS/SOI Integrated Circuit Memory Technologies Trans.Nuc.Sci., Vol. NS-44, No. 6, 2134-2139 128 IEEE 1997 0-0-0-1-0-0-1 2017-09-19 12:03:26 Invenio/1.1.2.1260-aa76f refextract/1.5.44 tmpZhQw_C.pdf 2284914 SzGeCERN 20210421210318.0 9789810223151 print version, hardback 9789814261340 electronic version electronic version DOI 10.1142/2800 ebook oai:cds.cern.ch:2284914 cerncds:BOOK eng Theodorsson , P Measurement of weak radioactivity Singapore World Scientific 1996 333 p ebook This book is intended for scientists engaged in the measurement of weak alpha, beta, and gamma active samples; in health physics, environmental control, nuclear geophysics, tracer work, radiocarbon dating etc. It describes the underlying principles of radiation measurement and the detectors used. It also covers the sources of background, analyzes their effect on the detector and discusses economic ways to reduce the background. The most important types of low-level counting systems and the measurement of some of the more important radioisotopes are described here. In cases where more than one type can be used, the selection of the most suitable system is shown. WSC201709 SzGeCERN Other Fields of Physics BOOK WSC h 201738 21 https://catalogue.library.cern/legacy/2284914 BOOK MIGRATED 2284369 SzGeCERN 20170928192431.0 oai:cds.cern.ch:2284369 cerncds:FULLTEXT AIDA-2020-NOTE-2017-007 eng Wu, Mengqing DESY User Manual of the environmental control system at DESY 2017 Geneva CERN 2017-09-22 FP7 654168 AIDA-2020 openAccess CERN Invenio WebSubmit GENEU 0.1 Detectors and Experimental Techniques SzGeCERN 15: Upgrade of beam and irradiation test infrastructure AIDA-2020 WP AIDA-2020 AIDA-2020REP 1349346 1884847 http://cds.cern.ch/record/2284369/files/AIDA-2020-NOTE-2017-007.pdf 1349346 11817 http://cds.cern.ch/record/2284369/files/AIDA-2020-NOTE-2017-007.jpg?subformat=icon- icon- 1349346 4822453 http://cds.cern.ch/record/2284369/files/AIDA-2020-NOTE-2017-007.pdf?subformat=pdfa pdfa 1349346 7527 http://cds.cern.ch/record/2284369/files/AIDA-2020-NOTE-2017-007.gif?subformat=icon icon mengqing.wu@cern.ch PUBLIC REPORT AIDA-2020 2283933 SzGeCERN 20171214170654.0 9783319581729 (electronic bk.) electronic version 9783319581712 electronic version EBL 4982640 eng TA1-2040 621.042 Bessède, Jean-Luc Eco-design in electrical engineering eco-friendly methodologies, solutions and example for application to electrical engineering Cham Springer 2017 177 p Lecture notes in electrical engineering 440 Contents -- Introduction -- Methodologies and Standards -- 1 Overview of Eco-design Applications on Various Types of Electronic Product Development -- Abstract -- 1 Introduction -- 2 Eco-design in Product Development Process-DFE -- 3 Application of Eco-design Principles: Case of a Global Product Architecture Design -- 4 Application of Eco-design Principles: Case of a Product Design from Scratch -- 5 Application of Eco-design Principles: Case of a Product Development Based on a Previous Generation -- 6 Application of Eco-design Principles: Case of a Product Development with Limited Design Freedom -- 7 Conclusion -- References -- 2 Hazardous Substances Management in the Supply Chain -- Abstract -- 1 Introduction -- 2 No Bad Ingredients -- 3 No Bad Chemicals, Either -- 4 Being Selective in Material Use -- 5 How to Track Substances Content? -- 6 Schneider Electric Eco Label: Green Premium -- 7 Communication Using the PEP: Product Environmental Profile -- 8 Conclusion -- References -- 3 SWOT Analysis of the ISO 14006 Application. A Practical Case and Its Consequences on Ecodesigned Products -- Abstract -- 1 Introduction -- 2 ISO 14006 Principles and Steps -- 3 EMS in Place -- 3.1 Environmental Analysis -- 3.2 Processes and Operational Control -- 3.3 Continuous Improvement and Targets Setting -- 4 SWOT Analysis -- 4.1 On Environmental Analysis -- 4.2 On Processes -- 4.3 On Technical Topic -- 4.4 Concerning Stakeholders -- 4.5 On Budgets -- 5 Conclusion -- References -- 4 Network for Building Purposes Equipment Environmental Declarations-Towards a Harmonised System? -- Abstract -- 1 Introduction -- 2 Different Challenges to Be Overcome for the EEE Sector -- 3 Towards a Better Harmonisation -- 4 Conclusions -- References -- 5 Dynamic Eco-design Strategic Options for Electric-Electronic Industry -- Abstract -- 1 Introduction. 2 The Vast Numbers of Eco-design Embodiments Provides a Robust Analysis of Specific Environmental Problem Considerations -- 3 Harmonization of Eco-design Embodiments with Other Corporate Strategies Constructs the Sustainability Both for Ecological and Economic Aspects -- 4 A Decisional Framework to Optimize the Process of Eco-design Products -- 5 Conclusion -- References -- Energy System and Planning -- 6 Renewable Energy, an Essential Element in India's Energy Security (Electricity) -- Abstract -- 1 Introduction -- 2 Power Generation Scenario in India -- 3 A Judicious Mix for Installed Capacity -- 4 Renewable Energy (Electricity) -- 5 The Right Place for Renewable Energy -- 6 Comparison of Cost of Production for Electricity from Different Sources? -- 7 Importance of Renewable Energy in Rural India -- 8 What Should We Do for Making It Happen? -- 9 What Can Be a Probable Scenario? -- 10 Legal Framework for Promoting Renewable Energy -- 11 Conclusion -- 7 Making Compatible Energy Planning with Urban Decision-Making: Socio-Energy Nodes and Local Configuration -- Abstract -- 1 Introduction -- 2 Definition of a SEN -- 3 Theoretical Background in Energy and Urban Planning Literature -- 4 Material and Method -- 5 Results: Innovative District-SEN as an Intermediary Between Usual and Renewable SENs -- 6 Conclusion: Reconciling Energy Planning with Urban Decision-Making -- Acknowledgements -- References -- 8 A Tool to Optimize the Energy Flows in a Smart Building with Technic and Environmental Criteria -- Abstract -- 1 Introduction and Context -- 2 Framework of the Study -- 2.1 System Characterization -- 3 System Assessment -- 3.1 Pv Panels -- 3.1.1 Impact on Landscape and Local Environment -- 3.1.2 PV Systems Recycling -- 3.1.3 Manufacturing and Environmental Impacts -- 3.1.4 Energy Payback Time -- 3.2 The Batteries -- 3.3 The Household. 4 Inventory Analysis -- 4.1 The Consumption of Energy from the Grid -- 4.2 The Storage of Energy -- 4.3 The Production of Energy -- 5 Results -- 6 Conclusion and Perspectives -- Acknowledgements -- References -- 9 Demand Response Process in Context of the Unified LINK-Based Architecture -- Abstract -- 1 Introduction -- 2 Holistic Model -- 3 Unified LINK-Based Architecture -- 4 Price Driven Demand Response -- 5 Conclusions -- References -- Components -- 10 Eco-design in Oil Immersed Transformers -- Abstract -- 1 Introduction -- 2 Lyfe Cycle Analysis -- 2.1 Description of the Product -- 2.2 Life Cycle Analysis -- 2.2.1 Raw Materials Extraction -- 2.2.2 Manufacture of Components -- 2.2.3 Transformer Construction Process -- 2.2.4 Recycling and Waste Landfill -- 3 Working on Service Phase -- 4 Role in Higly Penetrated Distributed Generation -- 5 Conclusions -- References -- 11 Low Inductance Fuses for Protection and Disconnection in DC Networks -- Abstract -- 1 Short Circuit Faults in DC Networks -- 2 Fuse Protection for VSI Converters -- 3 Determination of Upm -- 4 Risk of Re-Ignition-Proposal for an Additional Characteristic Em -- 5 MERSEN'S Research-Program -- 6 Conclusion -- Bibliography -- 12 Environmental Criteria for the Selection of Underground Transmission Cable Conductors -- Abstract -- 1 Introduction -- 2 Electrical Resistance of Conductors -- 3 French Practice for Transmission Cable Systems -- 4 Losses Generated by Conductors -- 5 Economical Design of Cable Conductors -- 6 Prospects of Very Large Aluminium Conductors -- 7 Feedback from Environmental Studies on Underground Cable System and Issues -- References -- 13 HiDry72: The Oil-Free and Safe Power Transformer for Sub-transmission Level -- Abstract -- 1 Introduction -- 2 HiDry72 Dry-Type Power Transformer Technology -- 3 HiDry72 Technical Features. 3.1 Ageing and Overloading of Dry-Type Power Transformers -- 3.2 HiDry72 Dry-Type Power Transformers Installations -- 4 Indoor 66 KV Urban Substation -- Bibliography -- 14 An MgB2 HVDC Superconducting Cable for Power Transmission with a Reduced Carbon Footprint -- Abstract -- 1 Introduction -- 2 Project Description Including Main Challenges -- 3 First Assessment of the Environmental Impact of MgB2 Superconducting Cables -- 4 Conclusions -- References -- Materials, Substances -- 15 g3-The Alternative to SF6 for High-Voltage Equipment -- Abstract -- 1 Introduction -- 2 State of the Regulatory and Financial Constraints on SF6 -- 3 Clean Grid Programme of GE's Grid Solutions -- 4 Development of g3 Mixture-A SF6-free Solution -- 5 First Application of g3 Mixture -- 6 Conclusion -- Bibliography -- 16 SF6 Management from Craddle to Craddle Advantage of SF6 Recycling -- Abstract -- 1 Introduction -- 1.1 DIA 4 -- 1.2 DIA 5 -- 1.3 DIA 6 -- 2 From Craddle to Craddle -- 2.1 DIA 8 -- 2.2 DIA 9 -- 2.3 DIA 10 -- 2.4 DIA 11 Substitution of SF6 -- 2.5 Dia 12 Recycling -- 2.6 Analysis at Reclaiming Center -- 2.7 DIA 13 Better in Process -- 17 5BIOP a Biocomposite for Electrical Application -- Abstract -- 1 Introduction -- 2 Alfa Fiber -- 3 Polylactic Acid Pla -- 3.1 5BIOP Properties -- 3.2 Electrical Properties -- 3.3 Mechanical Properties -- 4 Environmental Properties -- 5 Conclusion -- References -- 18 State of the Art Process of End-of-Life Treatment for SF6 Medium Voltage Equipment -- Abstract -- 1 Introduction -- 2 Transportation -- 3 SF6 Recovery -- 4 Dismantling -- 5 SF6 Reclaiming or Destruction -- 6 Storage of Cylinders Containing Used SF6 -- 7 Conclusions -- References -- 19 Validation of a New Eco-friendly Insulating Gas for Medium and High Voltage Equipment -- Abstract -- 1 Introduction -- 2 Alternative Gas Pre-selection -- 3 Characteristics of G S. 3.1 Physical Parameters of Gas and Gas Mixtures -- 3.2 Dielectric Properties -- 3.3 Making and Breaking Capacity -- 3.4 Temperature Rise -- 3.5 Corrosion and Oxidation -- 3.6 Permeability, Tightness and Adsorption -- 3.7 Interaction Between Gases and Materials -- 3.8 Internal Arc Fault -- 4 Discussion and Conclusion -- References. 9783319581712 print version oai:cds.cern.ch:2283933 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4982640 ebook ebook XX SzGeCERN EBL201709 BOOK n 201736 201709 21 PUBLIC BOOK DELETED 2283887 SzGeCERN 20210421210327.0 9781510601796 print version 9781510601802 electronic version electronic version oai:cds.cern.ch:2283887 cerncds:BOOK EBL 4947313 eng QC374.H38 2016 621.36028/7 Hausner, Michael Optics inspections and tests Bellingham Society of Photo-Optical Instrumentation Engineers (SPIE) 2017 521 p ebook Copyright -- Preface -- Acknowledgments -- Part I: Theory and Materials -- Chapter 1 Introduction -- 1.1 Prologue -- 1.2 Defining Quality -- 1.3 Relating Quality with Optics Inspections and Testing -- 1.4 The Purpose of This Book -- Chapter 2 Optics -- 2.1 History and Development -- 2.2 The Nature of Light -- 2.3 Geometrical Optics -- 2.3.1 Scattering -- 2.3.2 Critical angle and total internal reflection -- 2.4 Physical Optics -- 2.5 Optical Aberrations -- 2.5.1 Chromatic aberrations -- 2.5.2 Monochromatic aberrations -- 2.5.3 Correcting (reducing) optical aberrations -- 2.5.4 Surface and material aberrations -- 2.5.5 Optical system aberrations -- 2.6 Interference -- 2.7 Optical System Design -- 2.8 Types of Optical Components -- References -- Chapter 3 Raw Materials for ProducingOptical Elements -- 3.1 What Is an Optical Material? -- 3.2 Materials for Optical Elements -- 3.2.1 Glass -- 3.2.1.1 Optical glass -- 3.2.1.2 Color optical filter -- 3.2.1.3 Special glasses for molding -- 3.2.2 Crystal -- 3.2.3 Plastic -- 3.2.4 Metals (for mirrors only) -- 3.2.5 Special materials -- 3.3 Classification of Optical Materials -- 3.3.1 According to molecular structure -- 3.3.2 According to atomic orientation -- 3.3.3 According to the working spectral range -- 3.3.4 According to colors -- 3.3.5 According to the refraction index (for glasses) -- 3.4 Main Characteristics of Optical Materials -- 3.4.1 Optical properties -- 3.4.2 Internal (bulk) quality -- 3.4.3 Chemical properties -- 3.4.4 Mechanical properties -- 3.4.5 Electrical properties -- References -- Chapter 4 Manufacturing Processesof Optical Materials -- 4.1 Introduction -- 4.2 Glass Manufacturing Process -- 4.3 Crystal -- 4.3.1 Sapphire manufacturing methods -- 4.3.2 Gradient solidification method -- 4.3.3 Czochralski method -- 4.4 Chemical Vapor Deposition -- 4.4.1 Types of CVD processes. 4.4.2 Basic steps of the CVD process -- 4.4.3 CVD system -- 4.4.4 Hot isostatic press -- 4.5 Plastic -- 4.5.1 CR-39 -- 4.5.2 Related concepts -- 4.6 Aluminum -- 4.6.1 Related concepts -- References -- Chapter 5 Methods for Producing Optical Components -- 5.1 Introduction -- 5.2 Conventional Method: Spindle Grinding and Polishing -- 5.3 Diamond Turning -- 5.4 Precision Glass Molding and Precision Molded Optics -- 5.5 Additional Methods for Improving Optical Elements -- 5.5.1 Magneto rheological finishing -- 5.5.2 Hybrid molding -- 5.5.3 Computer-numerical-control grinding and polishing method -- 5.5.4 Freeform polishing method -- 5.5.5 Ion beam figuring -- 5.6 Additional Shaping Methods and Those that Produce Specular Surfaces -- References -- Chapter 6 Optical Coatings -- 6.1 Classification of Optical Coatings -- 6.2 Materials -- 6.3 AR Coating -- 6.4 Reflective Coatings -- 6.5 Optical-Coating-Deposition Technologies -- 6.5.1 Evaporation (deposition) methods -- 6.5.2 Sputter deposition methods -- 6.5.3 Advanced plasma reactive sputtering (APRS) -- 6.6 Requirements -- 6.7 Typical Spectral Curves -- References -- Chapter 7 Optical Adhesives -- 7.1 Introduction -- 7.2 Production Bond Failures -- 7.3 Incoming Failure Identification -- References -- Chapter 8 Optics Standards and GeneralTechnical Specifications -- 8.1 Introduction -- 8.2 The Importance and Utility of Standards and Specifications -- 8.3 Defining a Standard -- 8.4 Defining a Specification -- 8.5 MIL-HDBK, MIL-STD, and Milspecs -- 8.6 International Organization for Standardization -- 8.7 ANSI, ASTM, and ASME -- 8.8 Deutsches Institut für Normung -- 8.9 General Standards for Technical Drawings -- Chapter 9 Metrology: Measurement Theory -- 9.1 Definition -- 9.2 Scientific or Fundamental Metrology -- 9.3 Applied, Technical, and Industrial Metrology -- 9.4 Legal Metrology. 9.5 Geometric Dimensioning and Tolerancing -- 9.6 Rules of Thumb for Measurement Tools -- References -- Part II: Methods and Tools -- Chapter 10 Testing and Examining Optical Components -- 10.1 Introduction -- 10.2 Overview of Production Requirement Documents -- 10.3 A Review of Quality Production and Inspection Records -- 10.3.1 Process report -- 10.3.3 Raw material certificates (or certificate and meld data) -- 10.3.4 Routing card -- 10.3.5 COC, COT, and COA -- Chapter 11 Inspection and Testing of Raw Materials -- 11.1 Index of Refraction -- 11.2 Homogeneity -- 11.2.1 Designation of required homogeneity in production files -- 11.2.2 Homogeneity designation according to ISO 10110-4 -- 11.3 Bubbles and Inclusions -- 11.4 Striae -- 11.4.1 Designation of required striae in production files -- 11.5 Strain (Stress) -- 11.5.1 Designation of required stress birefringence in production files -- 11.6 Transmission/transmittance -- 11.7 Resistivity of Silicon or Germanium -- References -- Chapter 12 Inspection and Testing of Components -- 12.1 Radius of a Spherical Surface -- 12.2 Sag (Sagitta) -- 12.3 Centration -- 12.4 Dial Gauges and Indicators -- 12.5 Roundness (Circularity) -- 12.6 Central Thickness of a Lens -- 12.7 Thickness and Parallelism of Windows -- 12.8 Length between Ground Surfaces -- 12.9 Concentricity -- 12.10 Perpendicularity -- 12.11 Chamfer -- 12.12 Inside Edges -- 12.13 Surface Texture -- 12.14 Angularity -- Chapter 13 Inspection and Testing of Surface Shape and Figure -- 13.1 Test Plate -- 13.2 Analyzing the Interference Pattern Revealed by the Test Plate -- 13.3 Example Surface Patterns of Flat and Spherical Surfaces -- 13.4 Principles of Manual Analysis of Interferograms -- 13.5 Analyzing the Interference of Simple Patterns -- 13.6 Analyzing the Interference of Various Patterns. 13.7 Important Considerations when Analyzing Interference -- 13.8 Interferometric Measurements for Flat and Spherical Surfaces -- 13.9 Testing Cylindrical Surfaces -- References -- Chapter 14 Coatings -- 14.1 Optical Properties -- 14.2 Environmental Durability -- 14.3 Visual Inspections -- 14.4 Witness Samples -- 14.5 Durability of Coatings with Primers and Silicon Removers -- References -- Chapter 15 Special Properties of Aspheric Surfaces, Diffractive Surfaces, and Sapphire -- 15.1 Aspheric Surfaces -- 15.1.1 Profile plots -- 15.1.2 Contact profilometer method by OptiPro -- 15.1.3 Noncontact 3D method -- 15.1.4 Roughness -- 15.1.5 Slope error -- 15.2 Diffractive Surfaces -- 15.2.1 Measuring and testing diffractive surfaces -- 15.3 Sapphire -- References -- Part III: Inspection and Quality Assurance -- Chapter 16 Acceptance Sampling (Standards and Methods) -- 16.1 Introduction -- 16.2 Terms and Definitions -- 16.3 How to Determine if 100% Inspection is Necessary -- 16.4 Sampling Plan Procedure -- 16.5 Types of Decisions -- 16.6 Main Statistical Inspection Sample Table References -- 16.7 Summary -- References -- Chapter 17 Location and Process of the Inspection/Test -- 17.1 Location -- 17.2 Basic Needs -- 17.3 Process -- Chapter 18 Visual Inspection -- 18.1 Introduction -- 18.2 Definitions -- 18.2.1 Visual inspection -- 18.2.2 Beauty defects -- 18.2.3 Cosmetic defects -- 18.3 Requirements for Good Visual Inspections -- 18.4 Kinds of Defects -- 18.5 Visual Inspection Methods -- 18.6 Main Defects in Optical Elements -- 18.7 Illustrations of Visible Defects in Optical Elements -- 18.8 Measuring and Calculating Visual Defects -- 18.8.1 Scratches and digs -- 18.8.2 Defects according to military specifications -- 18.8.3 Defects according to ISO standards -- 18.8.4 Edge chips according to military specifications. 18.8.5 Glass defects, bubbles, and inclusions according to military specifications and standards -- 18.8.6 Stains -- 18.8.7 Cement defects -- 18.8.8 Drawing C7641866: surface quality standards for optical elements -- 18.8.9 Common sense and consideration -- References -- Chapter 19 Handling Optical Components -- 19.1 Introduction -- 19.2 Cleaning and Handling -- 19.2.1 Cleaning solvents (solutions) -- 19.2.2 Supplemental materials and accessories -- 19.2.3 Cleaning and handling procedure -- 19.2.4 Cleaning and handling assembled optical elements -- 19.2.5 Cleaning and handling procedure for outer optical elements during maintenance -- 19.3 Guidelines for Cleaning or Handling Optical Elements -- 19.4 Packaging, Storage, and Shipping -- 19.4.1 Packaging -- 19.4.2 Storage -- 19.4.3 Shipping -- 19.5 Health and Safety Aspects -- 19.6 Environmental and Additional Health and Safety Aspects -- 19.7 First Contact™ Cleaning Technology -- References -- Chapter 20 Testing of Optical Systems -- 20.1 Introduction -- 20.2 Main Optical System Parameters -- 20.2.1 Resolving power (or resolution) -- 20.2.2 Modulation transfer function -- 20.2.3 Boresight -- 20.2.4 Noise equivalent temperature difference -- 20.2.5 Minimum resolvable temperature difference -- 20.2.6 Minimum resolvable contrast -- 20.2.7 Blur circle (blur spot) -- 20.3 Additional Required Tests of Optical Systems -- References -- Chapter 21 Handling Nonconforming Optical Elements -- 21.1 Introduction -- 21.2 Procedure -- 21.3 MRB Decisions -- 21.4 Other Considerations -- Chapter 22 Quality Assurance -- 22.1 Introduction -- 22.2 Terms and Definitions -- 22.3 Quality Management Theories -- 22.3.1 Deming's theory -- 22.3.2 Crosby's theory -- 22.3.3 Juran's theory -- 22.3.4 Ishikawa's theory -- 22.3.5 Feigenbaum's theory -- 22.3.6 Shewhart's theory -- 22.3.7 Garvin's theory. 22.4 Product Manufacturing Steps. EBL201709 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4947313 ebook n 201736 201709 21 PUBLIC https://catalogue.library.cern/legacy/2283887 BOOK MIGRATED 2283843 SzGeCERN 20171214170645.0 9781351658140 (electronic bk.) electronic version 9781138029705 electronic version EBL 4935546 eng 621.042 Bundschuh, Jochen Geothermal, wind and solar energy applications in agriculture and aquaculture London Taylor and Francis 2017 407 p Sustainable energy developments Cover -- Half title -- Series Editor -- Title -- Copyright -- About the book series -- Editorial board -- Table of contents -- List of contributors -- Foreword by Alessandro Flammini -- Editor's preface -- About the editors -- CHAPTER1. Solar, wind and geothermal energy applications in agriculture:back to the future? -- 1.1 Introduction -- 1.2 Energy demands in agriculture -- 1.2.1 Energy use in agriculture -- 1.2.2 The energy management process -- 1.3 The water-energy-food-climate nexus -- 1.4 Greenhouse gas emissions and carbon footprint of agriculture -- 1.4.1 Sources of greenhouse gas emissions from agriculture -- 1.4.2 Overview of global agricultural emissions -- 1.4.3 Life cycle assessment (LCA -- 1.4.4 Comparison of environmental impact of different foods -- 1.5 Merging renewables with agriculture: The sustainability approach -- 1.5.1 Solar photovoltaic energy applications -- 1.5.1.1 Water pumping -- 1.5.2 Solar and geothermal direct heat applications -- 1.5.2.1 Heating/cooling of spaces, buildings, soil and water -- 1.5.2.2 Drying of crops, fruits, grains and animal products -- 1.5.2.3 Heating of greenhouses -- 1.5.3 Wind power applications -- 1.5.4 Multi-use of agricultural land for food and electric power production -- 1.5.5 Agriculture within the cascade system of geothermal direct heat utilization -- 1.5.6 Renewables for water desalination and food security: decoupling freshwater production from fossil fuel supply -- 1.5.7 Geothermal and solar greenhouse heating/cooling, ventilation, humidification, desalination -- 1.5.7.1 Solar and geothermal based greenhouse development -- 1.5.7.2 Closed seawater greenhouses for meeting water, energy and food security -- 1.5.8 The present market of renewable energy technologies -- 1.6 Conclusions. CHAPTER2. Agriculture sector modernization and renewable energy development: perspectives from developing countries -- 2.1 Introduction -- 2.1.1 Challenges to renewable energy development -- 2.1.2 Opportunities for renewable energy in developing countries and countries with economies in transition -- 2.2 The role of the Global Environment Facility -- 2.2.1 The GEF's renewable energy and energy-efficiency strategies -- 2.2.2 The GEF's renewable energy portfolio -- 2.2.3 The GEF's renewable energy portfolio and the modernization of agriculture -- 2.3 Biomass energy -- 2.3.1 Case study: Thailand - biomass co-generation -- 2.3.2 Case study: India - biomass gasification -- 2.3.3 Case study: Latvia - biomass combustion -- 2.4 Combined renewable energy technologies -- 2.4.1 Case study: India - combined renewable energy technologies -- 2.5 Geothermal energy -- 2.5.1 Case study: The Philippines - geothermal power -- 2.6 Small hydropower -- 2.6.1 Case study: Indonesia - small hydropower -- 2.7 Off-grid solar photovoltaic -- 2.7.1 Case study: India - off-grid photovoltaic -- 2.8 On-grid solar photovoltaic -- 2.8.1 Case study: Philippines - on-grid photovoltaic -- 2.9 Solar thermal heating -- 2.9.1 Case study: Tunisia - solar water heating -- 2.10 Solar thermal power -- 2.10.1 Case study: Egypt - solar thermal power -- 2.10.2 Case study Morocco - concentrating solar power -- 2.11 Wind power -- 2.11.1 Case study: China - wind power -- 2.11.2 Case study: Mexico - wind power -- 2.12 Summary and conclusions -- CHAPTER3. Linking food and nutrition security, urban and peri-urban agriculture, and sustainable energy use: experiences from South America -- 3.1 Introduction -- 3.1.1 The global food and nutrition security context. 3.2 Multiple benefits from urban and peri-urban agriculture actions -- 3.2.1 UPA and food and nutrition benefits -- 3.2.2 UPA and women's empowerment -- 3.2.3 UPA and environmental benefits -- 3.2.3.1 UPA and carbon footprint mitigation -- 3.2.3.2 UPA and sustainable water systems -- 3.3 Urban agriculture: examples from South America -- 3.3.1 UPA in Ecuador -- 3.3.1.1 Participative urban agriculture in Quito, Ecuador -- 3.3.1.2 WFP urban agriculture initiatives in Ecuador -- 3.3.2 Innovative UPA practices in Colombia -- 3.3.2.1 UPA powered by renewable energy in La Guajira, Colombia -- 3.4 Shaping the food and nutrition security agenda -- CHAPTER4. Renewable energy use for aquaponics development on a global scale towards sustainable food production -- 4.1 Introduction -- 4.2 Aquaponics technology -- 4.2.1 Simple recirculating units -- 4.2.2 Modern RAS and hydroponics -- 4.2.3 Resource intensity -- 4.2.4 Integrated multi-trophic approach -- 4.3 Aquaponics as a sustainable food production method -- 4.3.1 Types of products -- 4.3.1.1 Fish -- 4.3.1.2 Terrestrial plants -- 4.3.1.3 Other species -- 4.3.2 Control and safety -- 4.3.3 Efficient use of resources -- 4.3.3.1 Renewable energy sources -- 4.3.3.2 Energy efficiency and waste streams -- 4.3.3.3 Savings through well-designed integration -- 4.4 Connection to UN Sustainable Development Goals 2015-2030 -- 4.4.1 UN Sustainable Development Goals -- 4.4.1.1 Goal 2 End hunger, achieve food security and improved nutrition and promote sustainable agriculture -- 4.4.1.2 Goal 3 Ensure healthy lives and promote well-being for all at all ages -- 4.4.1.3 Goal 6 Ensure access to water and sanitation for all -- 4.4.1.4 Goal 7 Ensure access to affordable, reliable, sustainable and modern energy for all. 4.4.1.5 Goal 8 Promote inclusive and sustainable economic growth, employment and decent work for all -- 4.4.1.6 Goal 9 Build resilient infrastructure, promote sustainable industrialization and foster innovation -- 4.4.1.7 Goal 11 Make cities inclusive, safe, resilient and sustainable -- 4.4.1.8 Goal 12 Ensure sustainable consumption and production patterns -- 4.4.1.9 Goal 13 Take urgent action to combat climate change and its impacts -- 4.4.1.10 Goal 14 Conserve and sustainably use the oceans, seas and marine resources -- 4.4.1.11 Goal 15 Sustainably manage forests, combat desertification, halt and reverse land degradation, halt biodiversity loss -- 4.5 Conclusions and future work -- 4.5.1 Conclusions -- 4.5.2 Future work -- CHAPTER5. Renewable energy use and potential in remote central Australia -- 5.1 Introduction -- 5.2 Renewable energy supply: state and trends in remote Australia -- 5.2.1 Current state of energy use in remote Australia -- 5.2.2 Potential and opportunities for solar energy supply -- 5.2.2.1 Location -- 5.2.2.2 Community needs -- 5.2.2.3 Potential applications of renewable energy in agriculture in remote communities -- 5.2.2.4 Cost of solar technology -- 5.2.2.5 Increasing solar energy supply penetration -- 5.2.2.6 Growth in experience and capacity -- 5.2.2.7 Storage and integration -- 5.2.3 Challenges for solar energy supply -- 5.3 Case studies from inland remote Australia -- 5.3.1 Description of Alice Springs and Lajamanu -- 5.3.2 Current state of energy supply mix in case studies -- 5.3.3 Opportunities and challenges for renewable energy in the case study locations -- 5.4 Discussion -- 5.5 Conclusion -- CHAPTER6. Opportunities of adopting renewable energy for the nursery industry in Australia -- 6.1 Introduction -- 6.2 Energy use in nursery -- 6.2.1 Energy audits and assessments. 6.2.2 Case studies of nursery energy use in Australia -- 6.3 Opportunities of adopting alternative energy sources -- 6.3.1 Opportunities of adopting solar energy -- 6.3.2 Opportunities of adopting wind energy -- 6.3.3 Opportunities of adopting bioenergy -- 6.4 Development of online calculator for alternative energy sources -- 6.5 Case studies -- 6.5.1 Solar energy generation -- 6.5.2 Wind energy generation -- 6.6 Conclusion -- CHAPTER7. Fundamentals of solar energy -- 7.1 Introduction -- 7.1.1 Solar energy resources and potentials -- 7.1.2 Solar radiation and maps -- 7.2 Photovoltaic effect - principle and operating mechanism of solar cells -- 7.2.1 History of photovoltaic effect discovery and PV-cell development -- 7.2.1.1 First generation silicon-based solar cells -- 7.2.1.2 Second generation solar cells -- 7.2.1.3 Third generation solar cell -- 7.2.2 Main characteristics of solar cells -- 7.3 System design: PV direct, grid-tied, stand-alone, grid-tied with battery backup, solar thermal - PVT -- 7.3.1 On-grid and off-grid systems and their applications -- 7.3.2 PVT systems and their application -- 7.4 Storage: batteries, capacitors and supercapacitors, operation principle, new development (graphen etc -- 7.4.1 Batteries -- 7.4.1.1 Primary batteries -- 7.4.1.2 Secondary (rechargeable) batteries -- 7.4.2 Capacitors and supercapacitors -- 7.4.2.1 Supercapacitor construction -- 7.4.2.2 Supercapacitor vs. other energy storage devices -- CHAPTER8. Renewable energy technologies for greenhouses in semi-arid climates -- 8.1 Introduction -- 8.2 Greenhouses in semi-arid climates -- 8.3 Overview of energy demands in greenhouses -- 8.3.1 Greenhouse heating and cooling loads -- 8.3.2 Greenhouse electricity requirements -- 8.4 Renewable energies applicable to greenhouses -- 8.4.1 Wind energy. 8.4.2 Low and medium temperature solar thermal energy. Chen, Guangnan Chandrasekharam, D Piechocki, Janusz 9781138029705 print version oai:cds.cern.ch:2283843 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4935546 ebook ebook XX SzGeCERN EBL201709 BOOK n 201736 201709 21 PUBLIC BOOK DELETED 2283818 SzGeCERN 20171214170643.0 9789811042775 (electronic bk.) electronic version 9789811042768 electronic version EBL 4926886 eng TA1-2040 621.042 Ruan, Xinbo Control techniques for LCL-type grid-connected inverters Singapore Springer 2017 319 p CPSS power electronics series Preface -- Acknowledgements -- Contents -- About the Authors -- Abbreviations -- 1 Introduction -- Abstract -- 1.1 Energy Situation and Environmental Issues -- 1.2 Renewable Energy-Based Distributed Power Generation System -- 1.3 Key Issues of LCL-Type Grid-Connected Inverters -- 1.3.1 Design and Magnetic Integration of LCL Filter -- 1.3.2 Resonance Damping Methods of LCL Filter -- 1.3.3 Controller Design of Grid-Connected Inverters -- 1.3.3.1 Classification of Control Schemes -- 1.3.3.2 Closed-Loop Design Targets -- 1.3.3.3 Grid Current Regulator -- 1.3.4 Effects of Control Delay and the Compensation Methods -- 1.3.4.1 Control Delay Effects -- 1.3.4.2 Control Delay Compensation Methods -- 1.3.5 Suppression of Grid Current Distortion Caused by Grid Voltage Harmonics -- 1.3.5.1 Suppression of Grid Current Distortion and Unbalance Caused by Grid Voltage -- 1.3.5.2 Suppression of the Grid Current Reference Error -- 1.3.6 Grid-Impedance Effects on System Stability and the Improvement Methods -- 1.4 Summary -- References -- 2 Design of LCL Filter -- Abstract -- 2.1 PWM for Single-Phase Full-Bridge Grid-Connected Inverter -- 2.1.1 Bipolar SPWM -- 2.1.2 Unipolar SPWM -- 2.2 PWM for Three-Phase Grid-Connected Inverter -- 2.2.1 SPWM -- 2.2.2 Harmonic Injection SPWM Control -- 2.3 LCL Filter Design -- 2.3.1 Design of the Inverter-Side Inductor -- 2.3.1.1 Single-Phase Full Bridge Grid-Connected Inverter -- 2.3.1.2 Three-Phase Grid-Connected Inverter -- 2.3.2 Filter Capacitor Design -- 2.3.3 Grid-Side Inductor Design -- 2.4 Design Examples for LCL Filter -- 2.4.1 Single-Phase LCL Filter -- 2.4.2 Three-Phase LCL Filter -- 2.5 Summary -- References -- 3 Magnetic Integration of LCL Filters -- Abstract -- 3.1 Magnetic Integration of LCL Filters -- 3.1.1 Magnetic Integration of Single-Phase LCL Filter -- 3.1.2 Magnetic Integration of Three-Phase LCL Filter. 3.2 Coupling Effect on Attenuating Ability of LCL Filter -- 3.2.1 Magnetic Circuit of Integrated Inductors -- 3.2.2 Characteristics of LCL Filter with Coupled Inductors -- 3.3 Design Examples -- 3.3.1 Magnetics Design for Single-Phase LCL Filter -- 3.3.2 Magnetics Design for Three-Phase LCL Filter -- 3.4 Experimental Verification -- 3.4.1 Experimental Results for Single-Phase LCL Filter -- 3.4.2 Experimental Results for Three-Phase LCL Filter -- 3.5 Summary -- References -- 4 Resonance Damping Methods of LCL Filter -- Abstract -- 4.1 Resonance Hazard of LCL Filter -- 4.2 Passive-Damping Solutions -- 4.2.1 Basic Passive Damping -- 4.2.2 Improved Passive Damping -- 4.3 Active-Damping Solutions -- 4.3.1 State-Variable-Feedback Active Damping -- 4.3.2 Notch-Filter-Based Active Damping -- 4.4 Summary -- References -- 5 Controller Design for LCL-Type Grid-Connected Inverter with Capacitor-Current-Feedback Active-Damping -- Abstract -- 5.1 Modeling LCL-Type Grid-Connected Inverter -- 5.2 Frequency Responses of Capacitor-Current-Feedback Active-Damping and PI Regulator -- 5.3 Constraints for Controller Parameters -- 5.3.1 Requirement of Steady-State Error -- 5.3.2 Controller Parameters Constrained by Steady-State Error and Stability Margin -- 5.3.3 Pulse-Width Modulation (PWM) Constraint -- 5.4 Design Procedure for Capacitor-Current-Feedback Coefficient and PI Regulator Parameters -- 5.5 Extension of the Proposed Design Method -- 5.5.1 Controller Design Based on PI Regulator with Grid Voltage Feedforward Scheme -- 5.5.2 Controller Design Based on PR Regulator -- 5.6 Design Examples -- 5.6.1 Design Results with PI Regulator -- 5.6.2 Design Results with PR Regulator -- 5.7 Experimental Verification -- 5.8 Summary -- References -- 6 Full-Feedforward of Grid Voltage for Single-Phase LCL-Type Grid-Connected Inverter -- Abstract -- 6.1 Introduction. 6.2 Effects of the Grid Voltage on the Grid Current -- 6.3 Full-Feedforward Scheme for Single-Phase LCL-Type Grid-Connected Inverter -- 6.3.1 Derivation of Full-Feedforward Function of Grid Voltage -- 6.3.2 Discussion of the Three Feedforward Components -- 6.3.3 Discussion of Full-Feedforward Scheme with Main Circuit Parameters Variations -- 6.4 Experimental Results -- 6.5 Summary -- References -- 7 Full-Feedforward Scheme of Grid Voltages for Three-Phase LCL-Type Grid-Connected Inverters -- Abstract -- 7.1 Modeling the Three-Phase LCL-Type Grid-Connected Inverter -- 7.1.1 Model in the Stationary α-β Frame -- 7.1.2 Model in the Synchronous d-q Frame -- 7.2 Derivation of the Full-Feedforward Scheme of Grid Voltages -- 7.2.1 Full-Feedforward Scheme in the Stationary α-β Frame -- 7.2.2 Full-Feedforward Scheme in the Synchronous d-q Frame -- 7.2.3 Full-Feedforward Scheme in the Hybrid Frame -- 7.3 Discussion of the Full-Feedforward Functions -- 7.3.1 Discussion of the Effect of Three Components in the Full-Feedforward Function -- 7.3.2 Harmonic Attenuation Affected by LCL Filter Parameter Mismatches -- 7.3.3 Comparison Between the Feedforward Functions for the L-Type and the LCL-Type Three-Phase Grid-Connected Inverter -- 7.4 Experimental Verification -- 7.4.1 Description of the Prototype -- 7.4.2 Experimental Results -- 7.5 Summary -- References -- 8 Design Considerations of Digitally Controlled LCL-Type Grid-Connected Inverter with Capacitor-Current-Feedback Active-Damping -- Abstract -- 8.1 Introduction -- 8.2 Control Delay in Digital Control System -- 8.3 Effect of Control Delay on Loop Gain and Capacitor-Current-Feedback Active-Damping -- 8.3.1 Equivalent Impedance of Capacitor-Current-Feedback Active-Damping -- 8.3.2 Discrete-Time Expression of the Loop Gain -- 8.3.3 RHP Poles of the System Loop Gain. 8.4 Stability Constraint Conditions for Digitally Controlled System -- 8.4.1 Nyquist Stability Criterion -- 8.4.2 System Stability Constraint Conditions -- 8.5 Design Considerations of the Controller Parameters of Digitally Controlled LCL-Type Grid-Connected Inverter -- 8.5.1 Forbidden Region of the LCL Filter Resonance Frequency -- 8.5.2 Constraints of the Controller Parameters -- 8.5.3 Design of LCL Filter, PR Regulator and Capacitor-Current-Feedback Coefficient -- 8.6 Design of Current Regulator for Digitally Controlled LCL-Type Grid-Connected Inverter Without Damping -- 8.6.1 Stability Necessary Constraint for Digitally Controlled LCL-Type Grid-Connected Inverter Without Damping -- 8.6.2 Design of Grid Current Regulator and Analysis of System Performance -- 8.6.2.1 Constraints of Steady-State Error and Stability Margins on Grid Current Regulator -- 8.6.2.2 Design Procedure of Grid Current Regulator Parameters Without Damping -- 8.6.2.3 Analysis of System Performance Without Damping -- 8.7 Design Examples -- 8.7.1 Design Example with Capacitor-Current-Feedback Active-Damping -- 8.7.2 Design Example Without Damping -- 8.8 Experimental Verification -- 8.8.1 Experimental Validation for the Case with Capacitor-Current-Feedback Active-Damping -- 8.8.2 Experimental Validation Without Damping -- 8.9 Comparison of System Performance with Three Control Methods -- 8.10 Summary -- References -- 9 Reduction of Computation Delay for Improving Stability and Control Performance of LCL-Type Grid-Connected Inverters -- Abstract -- 9.1 Effects of Computation and PWM Delays -- 9.1.1 Modeling the Digitally Controlled LCL-Type Grid-Connected Inverter -- 9.1.2 Improvement of Damping Performance with Reduced Computation Delay -- 9.1.3 Improvement of Control Performance with Reduced Computation Delay -- 9.2 Real-Time Sampling Method. 9.2.1 Sampling-Induced Aliasing of the Capacitor Current -- 9.2.2 Design Example -- 9.2.3 Experimental Verification -- 9.3 Real-Time Computation Method with Dual Sampling Modes -- 9.3.1 Derivation of the Real-Time Computation Method -- 9.3.2 Design Example -- 9.3.3 Experimental Verification -- 9.4 Summary -- References -- 10 Impedance Shaping of LCL-Type Grid-Connected Inverter to Improve Its Adaptability to Weak Grid -- Abstract -- 10.1 Derivation of Impedance-Based Stability Criterion for Grid-Connected Inverter -- 10.2 Output Impedance Model of Grid-Connected Inverter -- 10.3 Relationship Between Output Impedance and Control Performances -- 10.4 Output Impedance Shaping Method -- 10.4.1 Parallel Impedance Shaping Method -- 10.4.2 Series-Parallel Impedance Shaping Method -- 10.4.3 Discussion of the Series-Parallel Impedance Shaping Method -- 10.4.3.1 Design Rules of Series Impedance -- 10.4.3.2 Impedance Accuracy Affected by LCL Filter Parameter Variations -- 10.5 Experimental Verification -- 10.5.1 Prototype Design -- 10.5.2 Experimental Results -- 10.6 Summary -- References -- 11 Weighted-Feedforward Scheme of Grid Voltages for the Three-Phase LCL-Type Grid-Connected Inverters Under Weak Grid Condition -- Abstract -- 11.1 Impedance-Based Stability Criterion -- 11.2 Stability Analysis Under Weak Grid Condition -- 11.2.1 Derivation of Output Impedance of Grid-Connected Inverter -- 11.2.2 Stability of Grid-Connected Inverter Under Weak Grid Condition -- 11.3 Characteristics of the Inverter Output Impedance -- 11.3.1 Characteristics of the Inverter Output Impedance Without Feedforward Scheme -- 11.3.2 Inverter Output Impedance Affected by the Full-Feedforward Scheme -- 11.4 Weighted-Feedforward Scheme of Grid Voltages -- 11.4.1 The Proposed Weighted-Feedforward Scheme of Grid Voltages. 11.4.2 Realization of the Weighted-Feedforward Scheme of Grid Voltages. Wang, Xuehua Pan, Donghua Yang, Dongsheng Li, Weiwei Bao, Chenlei 9789811042768 print version oai:cds.cern.ch:2283818 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4926886 ebook ebook XX SzGeCERN EBL201709 BOOK n 201736 201709 21 PUBLIC BOOK DELETED 2283802 SzGeCERN 20171214170643.0 9783319602134 (electronic bk.) electronic version 9783319602127 electronic version EBL 4902188 eng QC827 .M346 2018 538.70000000000005 Jeleńska, Maria Magnetometry in environmental sciences studying environmental structure changes and environmental pollution Cham Springer 2017 140 p Geoplanet earth and planetary sciences Series Editors -- Managing Editor -- Advisory Board -- Contents -- Introduction -- 1 Magnetometric Assessment of Soil Contamination in the Vicinity of Selected Roads in Poland -- Abstract -- 1 Introduction -- 2 Study Localities and Methods -- 3 Results -- 3.1 General Trends in Distribution of Magnetic Susceptibility on the Surface -- 3.2 Detailed Description -- 3.2.1 Mountain Area-Carpathians -- 3.2.2 Mountain Areas-Sudetes (Kłodzko Basin) -- 3.2.3 Upland Roads -- 3.2.4 Lowland Roads -- 3.3 Vertical Profiles -- 3.4 Magnetic Mineralogy -- 3.5 SEM Images -- 3.6 Magnetic Susceptibility and Geochemistry -- 4 Summary and Discussion -- 5 Conclusions -- References -- 2 Magnetic Study of Sediments from the Vistula River in Warsaw-Preliminary Results -- Abstract -- 1 Introduction -- 2 Methods and Measurements -- 2.1 Study Area -- 2.2 Sample Collection -- 2.3 Methods and Devices -- 3 Results and Discussion -- 3.1 Magnetic Study of Test Collection of Sediment Samples -- 3.2 Distribution of Magnetic Susceptibility of Sediments Collected from the Warsaw Part of Vistula River -- 3.3 Mineralogy of Magnetic Fraction -- 3.4 The Origin of the Magnetic Particles -- 4 Conclusion -- Acknowledgements -- References -- 3 Surface Sediments Pollution Around Small Shipwrecks (Munin and Abille) in the Gulf of Gdańsk: Magnetic and Heavy Metals Study -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Sites and Sample Handling -- 2.2 Methods -- 2.3 PLI -- 3 Results -- 4 Discussion -- 5 Conclusions -- Acknowledgements -- References -- 4 From Deserts to Glaciers: Magnetometry in Paleoenvironmental Studies in Central Asia -- Abstract -- 1 Introduction -- 2 The Deserts: Holocene Loess-Soil Succession in the Karasu Valley, Uzbekistan -- 3 The Glaciers: Development of High-Mountain Lakes on the Example of the Rangkul Lake, Eastern Pamir, Tajikistan -- 4 Summary. Acknowledgements -- References -- 5 Application of Magnetic Susceptibility Measurements for Identification of Technogenic Horizons in Soil Profiles on the Example of the Vistula River Cross-Cut Area -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Area -- 3 Methods -- 3.1 Magnetic Parameters -- 4 Results and Discussion -- 5 Conclusions -- Acknowledgements -- References -- 6 Magnetic Susceptibility of Sediments as an Indicator of the Dynamics of Geomorphological Processes -- Abstract -- 1 Introduction -- 2 Study Area and Methods -- 3 Results -- 4 Discussion -- 5 Conclusions -- Acknowledgements -- References -- 7 The Impact of Grain Size Composition and Organic Matter Content on Magnetic Susceptibility of Anthropogenically Transformed Bottom Sediments, as Exemplified by the Former Naval Harbour in Hel -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Field Work -- 2.2 Laboratory Analyses -- 2.2.1 Analysis of Grain Size Composition -- 2.2.2 Humidity -- 2.2.3 Organic Matter Content (LOI) -- 2.2.4 Magnetic Susceptibility -- 3 Results and Discussion -- 4 Conclusions -- References -- 8 Magnetic Vertical Structure of Soil as a Result of Transformation of Iron Oxides During Pedogenesis. The Case Study of Soil Profiles from Slovakia and Ukraine -- Abstract -- 1 Introduction -- 2 Description of Soil Profiles -- 3 Methods -- 3.1 Measurement of Magnetic Parameters -- 3.2 Measurement of Soil Parameters -- 4 Description of Chemical and Magnetic Results -- 4.1 Chemical Results -- 4.2 Magnetic Results -- 5 Discussion -- 5.1 Iron Forms in the Studied Soil Profiles -- 5.2 Magnetic Characteristics of Genetic Horizons -- 6 Conclusions -- Acknowledgements -- References. Łęczyński, Leszek Ossowski, Tadeusz 9783319602127 print version oai:cds.cern.ch:2283802 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4902188 ebook ebook XX SzGeCERN EBL201709 BOOK n 201736 201709 21 PUBLIC BOOK DELETED 2283738 SzGeCERN 20210421210339.0 9780128111536 print version 9780128111543 electronic version electronic version oai:cds.cern.ch:2283738 cerncds:BOOK EBL 4882544 eng QA76.76.S64.G353 2017 658.2 Galar, Diego eMaintenance essential electronic tools for efficiency San Diego, CA Elsevier Science 2017 554 p ebook Front Cover -- eMaintenance -- eMaintenance: Essential Electronic Tools for Efficiency -- Copyright -- Contents -- 1 - Sensors and Data Acquisition -- 1.1 SENSORS IN MAINTENANCE AND THE NEED TO INTEGRATE INFORMATION -- 1.1.1 Sensors Put Intelligence Into Maintenance -- 1.1.1.1 Sensing Maintenance Needs -- 1.1.1.2 Going Wireless -- 1.1.1.3 Enhancing Equipment, Both New and Old -- 1.1.1.4 Taking Intelligence to the Next Level -- 1.1.2 Basic Sensor Technology -- 1.1.2.1 Sensor Data Sheets -- 1.1.2.2 Sensor Performance Characteristics -- 1.1.2.2.1 Transfer Function -- 1.1.2.2.2 Sensitivity -- 1.1.2.2.3 Span or Dynamic Range -- 1.1.2.2.4 Accuracy or Uncertainty -- 1.1.2.2.5 Hysteresis -- 1.1.2.2.6 Nonlinearity (Often Called Linearity) -- 1.1.2.2.7 Noise -- 1.1.2.2.8 Resolution -- 1.1.2.2.9 Bandwidth -- 1.1.3 Role of Sensors and Objectives of Sensing -- 1.1.4 Distributed Intelligent Sensors -- 1.1.5 Infrastructure for Intelligent Systems -- 1.2 SENSOR FUSION -- 1.2.1 Principles of Sensor Fusion -- 1.2.2 Motivation for Sensor Fusion -- 1.2.3 Limitations of Sensor Fusion -- 1.2.4 Types of Sensor Fusion -- 1.2.4.1 C3I Versus Embedded Real-Time Applications -- 1.2.4.2 Three-Level Categorization -- 1.2.4.3 Categorization Based on Input/Output -- 1.2.4.4 Categorization Based on Sensor Configuration -- 1.2.5 Architectures for Sensor Fusion -- 1.2.5.1 Joint Directors of Laboratories Fusion Architecture -- 1.2.5.2 Waterfall Fusion Process Model -- 1.2.5.3 Boyd Model -- 1.2.5.4 LAAS Architecture -- 1.2.5.5 Omnibus Model -- 1.3 SENSOR NETWORKS: A DISTRIBUTED APPROACH IN LARGE ASSETS -- 1.3.1 Sensor Network Research in the 21st Century -- 1.3.2 Technology Trends -- 1.3.3 Wireless Sensor Network -- 1.3.3.1 Sensor Node Architecture -- 1.3.3.2 Characteristics of Wireless Sensor Networks -- 1.3.3.3 Fields of Application of Wireless Sensor Networks. 1.3.3.3.1 Security and Surveillance -- 1.3.3.3.2 Environmental Monitoring -- 1.3.3.4 Health Applications -- 1.3.3.5 Smart Buildings -- 1.3.3.6 Energy Control Systems -- 1.3.3.7 Area Monitoring -- 1.3.3.8 Agriculture Applications -- 1.3.3.8.1 Agriculture -- 1.3.3.8.2 Greenhouse Monitoring -- 1.3.3.9 Industrial Applications -- 1.3.3.10 Structural Monitoring -- 1.3.4 New Applications of Sensor Networks -- 1.3.4.1 Infrastructure Security -- 1.3.4.2 Environment and Habitat Monitoring -- 1.3.4.3 Industrial Sensing -- 1.3.4.4 Traffic Control -- 1.4 SMART SENSORS -- 1.4.1 Structure of Smart Sensor -- 1.4.2 Standards of Smart Sensor Network -- 1.4.3 Importance and Adoption of Smart Sensor -- 1.4.3.1 Cost Improvement -- 1.4.3.2 Reduced Cost of Bulk Cables and Connectors -- 1.4.3.3 Remote Diagnostics -- 1.4.3.4 Enhancement of Application -- 1.4.3.4.1 Self-Calibration -- 1.4.3.4.2 Computation -- 1.4.3.4.3 Communication -- 1.4.3.4.4 Multisensing -- 1.4.3.5 System Reliability -- 1.4.3.6 Better Signal to Noise Ratio -- 1.4.3.7 Sensor Improvement -- 1.4.4 General Architecture of Smart Sensor -- 1.4.5 Description of Smart Sensor Architecture -- 1.4.6 Varieties of Smart Sensors -- 1.4.7 Smart Sensors for Condition Based Maintenance -- 1.4.7.1 What is OSA-CBM? -- 1.4.7.2 Benefits of OSA-CBM -- 1.5 ENERGY HARVESTING FOR SENSORS AND CONFIGURATION ISSUES -- 1.5.1 Energy Harvesting Sources -- 1.5.2 Energy Harvesting for Microelectromechanical Systems -- 1.5.3 Harvesting Methods -- 1.5.3.1 Solar Energy -- 1.5.3.2 Piezoelectricity -- 1.5.3.3 Radio Frequency Energy -- 1.5.3.4 Thermal Energy -- 1.5.3.5 Wind Energy -- 1.5.4 Applications -- REFERENCES -- FURTHER READING -- 2 - Data Collection -- 2.1 DATA COLLECTION IN INDUSTRY -- 2.1.1 Data Needs for Industry Management -- 2.1.2 Data Collection Strategy -- 2.1.2.1 Complete Enumeration and Sampling -- 2.1.2.1.1 Definitions. 2.1.2.1.2 Complete Enumeration or Sampling? -- 2.1.2.1.3 Stratification in Data Collection -- 2.1.2.3.2 The Effect of Stratification -- 2.1.3 Data Collection Methods -- 2.2 DATA CLEANING -- 2.2.1 Data Cleaning Problems -- 2.2.1.1 Single-Source Problems -- 2.2.1.2 Multi-source Problems -- 2.2.2 Data Cleaning Approaches -- 2.2.2.1 Data Analysis -- 2.2.2.2 Defining Data Transformations -- 2.2.2.3 Conflict Resolution -- 2.2.3 Tool Support -- 2.2.3.1 Data Analysis and Reengineering Tools -- 2.2.3.2 Specialized Cleaning Tools -- 2.2.3.3 Extraction, Transformation, Loading Tools -- 2.2.4 Data Cleaning Overview -- 2.2.4.1 Qualitative Error Detection -- 2.2.4.2 Error Repairing -- 2.2.5 Data Cleaning From a Statistical Perspective -- 2.2.5.1 Data Cleaning With Statistics -- 2.2.5.2 Data Cleaning for Statistical Analysis -- 2.2.6 New Challenges -- 2.3 DATA SANITIZATION -- 2.3.1 Data Sanitization Techniques -- 2.3.1.1 Technique: NULL'ing Out -- 2.3.1.2 Technique: Masking Data -- 2.3.1.3 Technique: Substitution -- 2.3.1.4 Technique: Shuffling Records -- 2.3.1.5 Technique: Number Variance -- 2.3.1.6 Technique: Gibberish Generation -- 2.3.1.7 Technique: Encryption/Decryption -- 2.3.2 Data Sanitization Methods -- 2.3.2.1 Secure Erase -- 2.3.2.1.1 Secure Erase Wipe Method -- 2.3.2.2 DoD 5220.22-M -- 2.3.2.2.1 DoD 5220.22-M Wipe Method -- 2.3.2.3 NCSC-TG-025 -- 2.3.2.3.1 NCSC-TG-025 Wipe Method -- 2.3.2.4 AFSSI-5020 -- 2.3.2.4.1 AFSSI-5020 Wipe Method -- 2.3.2.5 AR 380-19 Method -- 2.3.2.5.1 AR 380-19 Wipe Method -- 2.3.2.6 NAVSO P-5239-26 -- 2.3.2.6.1 NAVSO P-5239-26 Wipe Method -- 2.3.2.7 RCMP TSSIT OPS-II -- 2.3.2.7.1 RCMP TSSIT OPS-II Wipe Method -- 2.3.2.8 CSEC ITSG-06 -- 2.3.2.8.1 CSEC ITSG-06 Wipe Method -- 2.3.2.9 HMG IS5 -- 2.3.2.9.1 HMG IS5 Wipe Method -- 2.3.2.10 ISM 6.2.92 -- 2.3.2.10.1 ISM 6.2.92 Wipe Method -- 2.3.2.11 NZSIT 402. 2.3.2.11.1 NZSIT 402 Wipe Method -- 2.3.2.12 VSITR -- 2.3.2.12.1 VSITR Wipe Method -- 2.3.2.13 Gutmann Method -- 2.3.2.13.1 Gutmann Wipe Method -- 2.3.2.14 Schneier Method -- 2.3.2.14.1 Schneier Wipe Method -- 2.3.2.15 Pfitzner Method -- 2.3.2.15.1 Pfitzner Wipe Method -- 2.3.2.16 Random Data Method -- 2.3.2.16.1 Random Data Wipe Method -- 2.3.2.17 Write Zero Method -- 2.3.2.17.1 Write Zero Wipe Method -- 2.4 DATA COMPRESSION AND TRANSMISSION -- 2.4.1 Data Compression -- 2.4.1.1 Fundamental Concept -- 2.4.1.1.1 Definitions -- 2.4.1.2 Classification of Methods -- 2.4.2 Data Compression Strategies -- 2.4.3 A Data Compression Model -- 2.4.4 Data Transmission -- 2.4.4.1 Connection-Oriented and Connectionless Transmissions -- 2.4.4.2 Synchronous and Asynchronous Transmission -- 2.4.5 Data Transmission and Open Systems Interconnection Model -- REFERENCES -- 3 - Preprocessing and Features -- 3.1 TIME AND FREQUENCY DOMAINS FOR DATA REPRESENTATION -- 3.1.1 Time Domain Versus Frequency Domain -- 3.1.1.1 Time Domain -- 3.1.1.2 Frequency Domain -- 3.1.1.3 Frequency Spectrum -- 3.1.1.4 Bandwidth -- 3.1.2 Vibration Data Representation for Advanced Technology Facilities -- 3.1.2.1 Time Versus Frequency Domain in Vibrations -- 3.1.2.2 Types of Data Signals -- 3.1.2.2.1 Deterministic Data -- 3.1.2.2.2 Random Data -- 3.1.2.3 Instantaneous Versus Time-Averaged Representation -- 3.1.3 Time Series Data Representation -- 3.1.3.1 Piecewise Approximation -- 3.1.3.2 Identification of Important Points -- 3.1.3.3 Symbolic Data Representations -- 3.2 FEATURE SELECTION -- 3.2.1 Filter Methods Used for Feature Selection -- 3.2.1.1 Relief -- 3.2.1.2 Correlation-Based Feature Selection -- 3.2.1.3 Fast Correlated-Based Filter -- 3.2.2 Wrapper Method Approach -- 3.2.3 A Statistical View of Feature Selection -- 3.2.4 A Machine Learning View of Feature Selection. 3.2.4.1 General Principles of Validation and Cross-Validation -- 3.2.4.2 Cross-Validation and Its Variants -- 3.2.4.2.1 Leave-One-Out -- 3.2.4.2.2 Virtual Leave-One-Out -- 3.2.4.3 Performance Error Bars and Tests of Significance -- 3.2.4.4 Bagging -- 3.2.4.5 Model Selection for Feature Selection -- 3.2.4.5.1 Cross-Validation for Feature Selection -- 3.2.4.5.2 Guaranteed Risk and Feature Selection -- 3.2.4.5.3 Bagging and Feature Selection -- 3.2.5 Cross-Validation Versus Overfitting -- 3.2.6 Feature Selection Algorithms -- 3.2.6.1 Forward Feature Selection -- 3.2.6.2 Three Variants of Forward Selection -- 3.2.6.2.1 Super Greedy Algorithm -- 3.2.6.2.2 Greedy Algorithm -- 3.2.6.2.3 Restricted Forward Selection -- 3.3 FEATURE EXTRACTION -- 3.3.1 Feature Extraction From the Time Domain -- 3.3.1.1 State-of-the-Art Features From the Time Domain -- 3.3.1.2 Normal Negative Likelihood -- 3.3.1.3 Mean Variance Ratio -- 3.3.1.4 Symbolized Shannon Entropy -- 3.3.1.5 Simulation of Feature Performance -- 3.3.2 Other Types of Feature Extraction Methods -- 3.3.2.1 Wavelets -- 3.3.2.1.1 Discrete Wavelet Series -- 3.3.2.1.2 Discrete Wavelet Transform -- 3.3.2.1.3 Spline Wavelet Transform -- 3.3.2.1.4 Discrete B-Spline Wavelet Transform -- 3.3.2.1.5 Design of Quadratic Spline Wavelets -- 3.3.2.1.6 Fast Algorithm -- REFERENCES -- 4 - Data and Information Fusion From Disparate Asset Management Sources -- 4.1 ONLINE AND OFF-LINE CONDITION MONITORING INFORMATION -- 4.1.1 Condition Monitoring Data and Automatic Asset Data Collection -- 4.1.2 Fusion of Maintenance and Control Data -- 4.1.3 Data Fusion: A Need for Maintenance Processes -- 4.1.4 Cloud Computing -- 4.2 COMPUTERIZED MAINTENANCE MANAGEMENT SYSTEMS -- 4.2.1 Computerized Maintenance Management System Needs Assessment -- 4.2.2 Computerized Maintenance Management System Capabilities. 4.2.3 Computerized Maintenance Management System Benefits. EBL201709 XX SzGeCERN BOOK Kumar, Uday https://cds.cern.ch/auth.py?r=EBLIB_P_4882544 ebook n 201736 201709 21 PUBLIC https://catalogue.library.cern/legacy/2283738 BOOK MIGRATED 2283720 SzGeCERN 20210421210341.0 9781498754071 print version 9781498754095 electronic version electronic version oai:cds.cern.ch:2283720 cerncds:BOOK EBL 4875452 eng QA76.76.M54.E895 2017 5.3 Etzkorn, Letha Hughes Introduction to Middleware web services, object components, and cloud computing Milton CRC Press 2017 689 p ebook Cover -- Title Page -- Copyright Page -- Dedication -- Contents -- Online Resources -- Preface -- Author -- Section 1: The Different Paradigms -- Chapter 1: Introduction -- 1.1. What Is Middleware? -- 1.2. Technology Review: Sockets -- 1.2.1. Socket Data Structures -- 1.2.2. Socket Library Calls -- 1.2.3. Network Byte Order and How It Is Used with Sockets -- 1.2.4. General Socket Operation -- 1.2.5. Simple Socket Example -- 1.2.6. Sending Data Other than Char Data-Problems with Endianness -- 1.3. Brief Introduction to Other Middlewares -- 1.3.1. What Are Remote Procedure Calls?-Also Introduction to Synchronous and Asynchronous Operation -- 1.3.2. What Are Distributed Object-Oriented Components? -- 1.3.3. What Is Message-Oriented Middleware? -- 1.3.4. What Are Service-Oriented Architectures? -- 1.3.5. What Are Web Services? -- 1.3.6. What Is Cloud Computing? -- 1.4. Environmental Monitoring Project -- 1.5. Sailboat Marina Management Project -- Exercises -- Conceptual Questions -- Bibliography -- Chapter 2: Software Architectural Styles/Patterns for Middleware -- 2.1. Just What Is a "Software Architecture," Anyway? -- 2.2. Architectural Styles/Patterns -- 2.3. Architectural Styles/Patterns for Middleware -- 2.3.1. Gomaa's Architectural Patterns -- 2.3.2. Fielding's Architectural Styles -- 2.3.3. Fielding's Architectural Properties -- 2.4. Architectural Styles/Patterns for Distributed Object-Oriented Components -- 2.5. Architectural Styles/Patterns for Service-Oriented Architectures -- 2.6. Architectural Styles/Patterns for Web Services -- 2.7. Architectural Styles/Patterns for Cloud Computing -- Exercises -- Conceptual Questions -- Bibliography -- Section 2: Enabling Technologies for Middleware -- Chapter 3: Introduction to Internet Technologies -- 3.1. Just What Is the Internet, Anyway? -- 3.2. Brief Introduction to TCP/IP and UDP. 3.3. IP Addresses (IPv4 and IPv6) and Subnetting -- 3.3.1. IPv4 Addresses -- 3.3.1.1. Private IP Addresses and Network Address Translation -- 3.3.2. IPv6 Addresses -- 3.3.3. Subnetting -- 3.4. Port Numbers -- 3.5. Other Important Network Information -- 3.5.1. Internet Control Message Protocol -- 3.5.2. LAN Protocols: Ethernet and Wi-Fi -- 3.5.3. Media Access Control Addresses -- 3.5.4. Hubs, Bridges, Switches, and Routers -- 3.5.5. Autoconfiguration for IPv4: Dynamic Host Configuration Protocol -- 3.5.6. Autoconfiguration for IPv6 -- 3.5.6.1. DHCP for IPv6 -- 3.5.7. Virtual Local Area Network -- 3.6. Universally Unique Identifiers -- Exercises -- Conceptual Questions -- Bibliography -- Chapter 4: Introduction to World Wide Web Technologies -- 4.1. Just What Is the Web, Anyway? -- 4.2. Hypertext Transfer Protocol -- 4.3. HTML, XML, and HTML Forms -- 4.4. XML Schema Basics -- 4.5. JavaScript Object Notation (JSON) -- 4.6. Internet Media Types (MIME Types) -- 4.7. Base 64 Encoding -- 4.8. URL Encoding (Percent Encoding) and URL Base 64 Encoding -- 4.9. Domain Names and Domain Name Servers -- 4.10. Document Object Model and Browser Object Model -- 4.11. Popular Web Servers -- 4.11.1. Web/Application Servers: LAMP versus Windows/ASP versus Java -- 4.11.1.1. MySQL-The M in LAMP -- 4.11.1.2. Using Java Database Connectivity (JDBC) with MySQL -- 4.11.1.3. Using MySQLi in PHP with MySQL -- 4.11.2. GlassFish Application Server -- 4.11.2.1. How to Start GlassFish and Run an Application on GlassFish -- 4.12. cURL -- Exercises -- Conceptual Questions -- Bibliography -- Chapter 5: Security Basics -- 5.1. Just Why Should Anyone Care About Security, Anyway? -- 5.2. Symmetric Key Cryptography and Asymmetric Key/Public Key Cryptography -- 5.3. Hash (Message Digest) Functions -- 5.4. Digital Signatures and Message Authentication Codes. 5.5. Public Key Infrastructure and Certificate Authorities -- 5.6. Transport Layer Security and Secure Sockets Layer -- 5.6.1. But How Does TLS Work? -- 5.7. Cryptographic Message Syntax -- Exercises -- Conceptual Questions -- Bibliography -- Chapter 6: Microsoft Technologies Basics -- 6.1. Microsoft "World" versus the Rest of the World -- 6.2. Dynamic Link Library Files and Windows Side by Side -- 6.3. Common Language Runtime (CLR) -- 6.4. Global Assemblies Cache -- 6.5. Named Pipes in Windows -- Exercises -- Conceptual Questions -- Bibliography -- Chapter 7: Cloud Technologies Basics -- 7.1. What You Need to Know for the Cloud -- 7.2. Just What Are Disk Images and Virtual Machine Images, Anyway? -- 7.2.1. Various Kinds of Disk Images and Virtual Machine Images -- 7.3. Just what are Hypervisors and Virtual Machines, Anyway? -- 7.3.1. Some Examples of Type 2 Hypervisors -- 7.3.1.1. Some VirtualBox Installation Hints -- 7.3.2. Some Examples of Type 1 Hypervisors -- 7.3.2.1. libvirt -- 7.4. Software-Defined Networking and Network Virtualization -- 7.4.1. Open vSwitch/OpenFlow and Linux Bridge -- 7.4.1.1. OpenFlow -- 7.4.1.2. How Open vSwitch Works -- 7.5. Virtualization Security -- 7.5.1. Hypervisor Security -- 7.6. Cloud Security -- 7.6.1. Physical Data Center Security -- Exercises -- Conceptual Questions -- Bibliography -- Section 3: Middleware Using Distributed Object-Oriented Components -- Chapter 8: Distributed Object-Oriented Components -- 8.1. Just What Do We Mean by "Object-Oriented Middleware" and "Component Middleware," Anyway? -- 8.2. Technology Review: Common Object Request Broker Architecture (CORBA) -- 8.2.1. Basic CORBA Concepts -- 8.2.1.1. First Look at CORBA: Overview of Simple Echo Example -- 8.2.2. Interface Description Language -- 8.2.3. CORBA IDL to C++/C and CORBA IDL to Java Bindings -- 8.2.3.1. CORBA IDL to C++ Binding. 8.2.3.2. CORBA IDL to Java Binding -- 8.2.4. CORBA Addressing-How Does the Client Find the Server and Associated Servant? -- 8.2.4.1. Interoperable Object Reference and the CORBA Naming Service -- 8.2.4.2. CORBA Interoperable Naming Service (corbaloc and corbaname) -- 8.2.5. Simplest Echo Example -- 8.2.5.1. Echo Example-Server Side -- 8.2.5.2. Echo Example-Client Side -- 8.2.6. Echo Example Using Naming Service -- 8.2.7. CORBA Under the Hood and Some Leftover CORBA Stuff -- 8.2.7.1. CORBA Under the Hood -- 8.2.7.2. Some Leftover CORBA Stuff -- 8.2.8. Portable Object Adapter -- 8.2.8.1. Introduction to POA Policies -- 8.2.9. Echo Example-Default Servant -- 8.2.10. Echo Example-Persistent POA and Default Servant -- 8.3. Technology Review: .NET Remoting -- 8.3.1. .NET Remoting Basics -- 8.3.1.1. Application Domains (Appdomains) -- 8.3.1.2. Assemblies and Metadata -- 8.3.1.3. Manifest Files -- 8.3.1.4. .NET Library Files -- 8.3.2. Call C# from C#, Not Using Remoting -- 8.3.3. .NET Remoting Using Marshaling by Value -- 8.3.4. Marshal by Reference: The Heart of .NET Remoting -- 8.3.5. Client-Activated Object -- 8.3.6. Server-Activated Single Call -- 8.3.7. Server-Activated Singleton -- 8.3.8. How to Handle Different Kinds of Channels -- 8.3.9. How to Handle Different Kinds of Formatters -- 8.3.10. Remote Object Lifetimes-Leases on Objects -- 8.3.11. Asynchronous .NET Remoting -- 8.3.11.1. Asynchronous .NET Remoting-Polling -- 8.3.11.2. Asynchronous .NET Remoting-Callback Function -- 8.4. Technology Review: Enterprise Java Beans -- 8.4.1. A Brief Introduction to Session Bean Concepts -- 8.4.2. Environment and Procedures Used to Build and Run EJB Examples -- 8.4.3. Stateless Session Beans -- 8.4.3.1. Very Simple Stateless Session Bean Example -- 8.4.3.2. Very Simple Stateless Session Bean Example Passes an Array Parameter. 8.4.3.3. Very Simple Stateless Session Bean Example Passes an Object Parameter -- 8.4.3.4. Very Simple Stateless Session Bean Example with Injection, and Local and Remote Interfaces -- 8.4.3.5. Simple Stateless Session Bean Example That Illustrates Stateless Characteristics -- 8.4.4. Singleton Session Beans -- 8.4.5. Stateful Session Beans -- 8.4.5.1. Stateful Session Bean Example -- 8.4.5.2. Stateful Session Bean Asynchronous -- 8.4.5.3. Stateful Session Bean Lifecycle Callbacks -- 8.4.5.4. Stateful Session Bean Lifecycle Callbacks Forces Passivate -- CORBA Exercises -- .NET Remoting Exercises -- EJB Exercises -- Conceptual Questions -- Bibliography -- Section 4: Middleware Using Web Services -- Chapter 9: Web Services Architectures -- 9.1. Service-Oriented Architectures -- 9.1.1. In-Depth Look at Service-Oriented Architecture -- 9.1.2. The Relationship between SOA and Cloud Computing -- 9.1.3. Implementations of Service-Oriented Architectures -- 9.2. RESTful Architectural Style and Non-RESTful versus RESTful Web Services -- 9.2.1. RESTful Architectural Style -- 9.2.2. Non-RESTful versus RESTful Web Services -- Exercises -- Conceptual Questions -- Bibliography -- Chapter 10: Non-RESTful Web Services -- 10.1. Just What Do We Mean by "Non-RESTful Web Services," Anyway? -- 10.2. SOAP Messaging Protocol -- 10.2.1. Overall SOAP Message Format -- 10.2.2. Encoding of SOAP Messages -- 10.2.3. SOAP Message Formats -- 10.2.3.1. RPC-SOAP Encoded Message Format -- 10.2.3.2. RPC-Literal Message Format -- 10.2.3.3. Document-Literal Message Format -- 10.2.3.4. Document-Literal Wrapped Message Format -- 10.2.3.5. Summary of Pros and Cons of the Different SOAP Message Formats -- 10.2.4. SOAP Faults -- 10.2.5. SOAP Headers -- 10.2.6. SOAP Binding to HTTP -- 10.3. Technology Review: Web Services Description Language (WSDL) -- 10.3.1. WSDL 1.1 Format. 10.3.2. WSDL 2.0 Format. EBL201709 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4875452 ebook n 201736 201709 21 PUBLIC https://catalogue.library.cern/legacy/2283720 BOOK MIGRATED 2283711 SzGeCERN 20210421210342.0 9781119426561 electronic version electronic version 9781786300591 print version oai:cds.cern.ch:2283711 cerncds:BOOK EBL 4875042 eng TK5105.875.I57.P374 2017 5.8 Paret, Dominique Secure connected objects Somerset John Wiley & Sons 2017 319 p ebook Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- Acknowledgements -- Preamble -- PART 1. Introduction - The Buzz about IoT and IoE -- 1. Introduction -- 1.1. Definition of communicating- or connected Things -- 1.1.1. Connected Things - Communicating Things -- 1.1.2. Definition of the IoT -- 1.1.3. Internet of x -- 2. The (Overly) Vast World of IoT -- 2.1. 2011-2016: the craze for the term "Connected Thing" -- 2.1.1. The catch-all -- 2.1.2. Fashion, buzz and "bubble" -- 2.1.3. "Hype" cycle for innovations -- 2.2. The True Goal of This Book -- 3. Why a Connectable Thing? -- 3.1. Examples of connectable things -- 3.1.1. Home care for the elderly -- 3.1.2. In the automotive industry -- PART 2. Constraints Surrounding an IoT Project -- 4. Aspects to be Taken into Consideration -- 4.1. Aspects pertaining to the concrete realization of Connected Things -- 4.1.1. Financial and marketing aspects -- 4.1.2. Technical and industrial aspects -- 4.1.3. Regulatory and normative aspects -- 4.1.4. Security aspects -- 4.1.5. Cost aspects -- 5. Financial and Marketing Aspects -- 5.1. Economic aspects -- 5.1.1. Saleable / buyable -- 5.2. Ergonomic aspects -- 5.2.1. Mechanical form and design vs ergonomics -- 6. Technical and Industrial Aspects -- 6.1. Technical aspects -- 6.1.1. Life cycle of a new product -- 6.1.2. Techno-economic feasibility -- 6.1.3. Design -- 6.1.4. Industrialization, manufacturing process and quality assurance -- 6.2. Energy aspects -- 6.2.1. Power supply to the Thing -- 6.3. Industrial aspects -- 7. Regulatory and Normative Aspects -- 7.1. Regulatory aspects and recommendations -- 7.1.1. Radiofrequency regulations -- 7.2. Health-related recommendations -- 7.2.1. Exposure of the human body to electromagnetic fields -- 7.2.2. Specific Absorption Rate (SAR). 7.3. Societal regulations and individual freedoms (privacy) -- 7.3.1. The various data needing to be protected -- 7.3.2. Loi Informatique et Libertés -- 7.3.3. Mandate 436, PIA and RFID and IoT applications -- 7.3.4. GDPR - General Data Protection Regulation -- 7.3.5. Privacy by design -- 7.4. Environmental regulations and recycling -- 7.4.1. Electronic waste treatment -- 7.4.2. Regulation and organization of the chain -- 7.4.3. Labeling of electrical and electronic equipment -- 7.5. Normative aspects -- 7.5.1. ISO/AFNOR -- 7.5.2. IEEE -- 7.5.3. ETSI -- 8. Security Aspects -- 8.1. Security aspects -- 8.1.1. The weak links -- 8.1.2. Possible solutions -- 8.1.3. Definition and choice of security target -- 8.1.4. Concepts of security levels applied in IoT -- 8.1.5. True security - the "Secure Element" -- 8.1.6. Cryptography -- 8.1.7. Symmetric and asymmetric encryption -- 8.1.8. Consumer Things, IoT, security… and the Cloud -- 8.2. Judging the quality of security -- 8.3. Some thoughts about security, privacy and IoT -- 8.4. Vulnerabilities and attacks in the IoT chain -- 8.4.1. Attacks on the software layer -- 8.4.2. Attacks on the board or Thing -- 8.4.3. Attacks on the integrated circuits -- 8.4.4. Security standards -- PART 3. Overall Architecture of the IoT Chain -- 9. Communication Models in IoT -- 9.1. Communication models in IoT -- 9.1.1. OSI model -- 9.1.2. TCP/IP model -- 9.1.3. By way of conclusion -- 10. Overall Architecture of an IoT System -- 10.1. Overall architecture of a CT and IoT solution -- 10.1.1. Description of the complete chain -- 10.2. From a more technological point of view -- 10.2.1. Architecture and overview of an IoT chain -- 10.2.2. The "base station/gateway" -- 10.2.3. The "cloud" zone -- 10.2.4. The "User" zone -- 10.3. The very numerous protocols involved -- PART 4. Detailed Description of the IoT Chain. PART 4A. From the User (The Outside World) to the Thing -- 11. From the Outside World to the Thing -- 11.1. Connection of the Thing to the outside world -- 11.1.1. Using sensors -- 11.1.2. Using wired connections -- 11.1.3. Using RF links -- 11.1.4. Very Short Range (<10 cm) -- 11.1.5. Short range SR Wide band (tens of meters) -- 12. The Secure Connected Thing -- 12.1. Physical constitution of the Thing -- 12.1.1. Sensors -- 12.1.2. Local intelligence - microcontroller -- 12.1.3. Security (SE) … -- PART 4B. From the Thing to the Base Station -- 13. Means of Communication to Access a Base Station -- 13.1. Possible network connectivity technologies -- 13.1.1. Local or ultra-local non-operated RF networks -- 13.1.2. Extended-deployment operated RF networks -- 13.1.3. Is there space for all these technologies? -- 13.2. Medium-range MR Wide-band (hundreds of meters) -- 13.2.1. Wi-Fi -- 13.3. Long-range (LR - tens of kilometers) -- 13.3.1. NB, UNB, WB, UWB, FHSS, DSSS and RF regulations -- 13.3.2. Regulators and regulations -- 13.3.3. RF bases -- 13.4. LTN - Low-Throughput Network -- 13.4.1. Long Range LR - LTN -- 13.4.2. LR LTN in (U)NB - SIGFOX -- 13.4.3. LR LTN in DSSS (spectrum spreading) - LoRa, from Semtech -- 13.4.4. A discussion of spectrum spreading - SS -- 13.4.5. LR WB -- 13.4.6. Operated LR WB networks -- PART 4C. From the Base Station to the Server -- 14. Network Access Layer - IP -- 14.1. IPv4 -- 14.1.1. Operation -- 14.1.2. Services provided -- 14.1.3. Reliability -- 14.2. IPv6 -- 14.2.1. Differences between IPv6 and IPv4 -- 14.2.2. Problems of privacy and/or anonymity? -- 14.3. 6LoWPAN -- 14.3.1. Description of the technology -- 14.3.2. Integration of an IPv6 packet into an IEEE 802.15.4 frame -- 14.3.3. Autoconfiguration of an IP address -- 14.3.4. Network supervision and management -- 14.3.5. Constraints on "upper-layer" applications. 14.3.6. Security -- 14.3.7. Routing -- 15. The Server -- 15.1. Conventional functions of a server in IoT -- 16. Transport and Messaging Protocols -- 16.1. Transport -- 16.1.1. Operation -- 16.1.2. Structure of a TCP segment -- 16.2. "IoT messaging" technologies -- 16.2.1. Main protocol parameters -- 16.3. Protocols -- 16.4. HTTP - HyperText Transfer Protocol -- 16.5. HTTP/2 -- 16.6. MQTT - Message Queuing Telemetry Transport -- 16.6.1. Security in MQTT -- 16.7. CoAP - Constrained Application Protocol -- 16.8. XMPP -- 16.9. DDS - Data Distribution Service -- 16.10. AMQP - Advanced Message Queuing Protocol -- 16.11. SMQ -- 16.12. JMS - Java Messaging Service -- 16.13. Other protocols -- 16.14. The broker -- 16.14.1. Examples of possibilities -- 16.15. Programming languages -- 16.16. Operating systems -- PART 4D. From the Cloud Server to the Various Users -- 17. Cloud and Fog Computing -- 17.1. Cloud computing? -- 17.1.1. What is its mode of operation? -- 17.1.2. Advantages and benefits in IoT applications -- 17.1.3. Types of Cloud computing -- 17.1.4. Cloud products and services -- 17.2. Example: The PaaS platform AWS loT -- 17.3. How security is managed -- 17.4. Fog computing? -- 17.5. Big data -- 17.6. Natural interfaces -- PART 5. Concrete Realization of an IoT Solution Examples and Costs -- 18. Examples of the Concrete Realization of Connected Things -- 18.1. Subject/application taken as an example -- 18.1.1. Architecture of the product: a communicating physical Thing -- 18.1.2. Mandatory steps in creating the Thing -- 19. Cost Aspects -- 19.1. CAPEX and OPEX are in the same boat… -- 19.1.1. CAPEX -- 19.1.2. OPEX -- 19.1.3. Conclusions -- 19.1.4. Very important conclusions -- Conclusion -- Bibliography -- Index -- Other titles from iSTE in Waves -- EULA. EBL201709 XX SzGeCERN BOOK Huon, Jean-Paul https://cds.cern.ch/auth.py?r=EBLIB_P_4875042 ebook n 201736 201709 21 PUBLIC https://catalogue.library.cern/legacy/2283711 BOOK MIGRATED 2283655 SzGeCERN 20210421210351.0 9780081008942 print version 9780081009284 electronic version electronic version oai:cds.cern.ch:2283655 cerncds:BOOK EBL 4865564 eng TK1078 621.483 Riznic, Jovica Steam generators for nuclear power plants Cambridge Elsevier Science 2017 580 p ebook Front Cover -- Steam Generators for Nuclear Power Plants -- Copyright -- Contents -- List of contributors -- Preface -- Part One: Design and manufacturing -- Chapter 1: Introduction to steam generators-from Heron of Alexandria to nuclear power plants: Brief history and literat -- 1.1. Introduction -- 1.2. Brief history of steam generation -- 1.2.1. It began with water and steam -- 1.2.2. The steam engine -- 1.2.3. The steam locomotive -- 1.2.4. Early steam boiler explosions -- 1.2.5. ASME boiler and pressure vessel code -- 1.2.6. Development of central electricity generation stations -- 1.3. Splitting of the atom and emergence of nuclear power: Atoms join water and steam -- 1.3.1. Chicago pile: The first energy from a nuclear reaction -- 1.3.2. The nuclear-powered submarines and Admiral Rickover -- 1.3.3. Growth of commercial nuclear power -- 1.3.4. Current state of the nuclear industry -- 1.4. Unique features of different steam generators -- 1.4.1. PWR vertical steam generators -- 1.4.2. PWR once-through steam generators -- 1.4.3. PWR VVER steam generator -- 1.4.4. PHWR CANDU steam generators -- 1.5. Steam generators literature survey -- 1.5.1. Steam generator patents -- References -- Chapter 2: Nuclear steam generator design -- 2.1. Introduction -- 2.2. Specifications -- 2.3. Tube bundle -- 2.4. Overall steam generator layout -- 2.5. Circulation -- 2.6. Other elements of the circulation system -- 2.7. Feedwater inlet -- 2.8. Pressure boundary design -- 2.9. Conclusions -- Chapter 3: Steam generator manufacturing -- 3.1. Introduction, manufacturers -- 3.1.1. Overview and manufacturing objectives -- 3.1.2. QA requirements for nuclear manufacturing -- 3.2. Manufacturing scheduling -- 3.2.1. Material purchasing to support schedule -- 3.3. Main sub-assemblies -- 3.3.1. Tubesheet/thick shell -- 3.3.2. Primary head -- 3.3.3. Secondary shell. 3.3.4. Drum shell -- 3.3.5. Separator sub-assembly -- 3.3.6. Tube supports and shrouds -- 3.4. Major assemblies -- 3.5. Final assembly and preparation for shipment -- 3.6. Stress reliefs -- 3.7. Inspection and testing -- 3.8. Shipment -- 3.9. Conclusions -- Chapter 4: Thermalhydraulics, circulation, and steam-water separation in nuclear steam generators -- 4.1. Introduction -- 4.2. Recirculating steam generators -- 4.2.1. Flow paths -- 4.2.1.1. Primary fluid -- 4.2.1.2. Secondary fluid -- 4.2.2. Heat transfer -- 4.2.2.1. Fouling -- 4.2.2.2. Divider plate leakage -- 4.2.2.3. Preheater thermal plate leakage -- 4.2.2.4. Tube plugging -- 4.2.3. Steam-water separation -- 4.2.4. Carryover and carryunder -- 4.2.5. Effect of primary fluid on steam generator thermal performance -- 4.2.6. Use of preheater -- 4.2.6.1. Axial flow preheaters -- 4.2.6.2. Crossflow preheaters -- 4.2.7. Flow-affected phenomena leading to degradation -- 4.2.7.1. High fouling rates on tubes in regions with high steam quality -- 4.2.7.2. Sludge accumulation on the tubesheet -- 4.2.7.3. High concentration rate of chemicals in crevices -- 4.2.7.4. Cavitation erosion -- 4.2.7.5. Water level oscillations -- 4.2.7.6. Flow-induced vibrations -- 4.2.7.7. Fatigue -- 4.2.7.8. Flow-accelerated corrosion -- 4.2.8. Theoretical approach to solving thermalhydraulics -- 4.3. Once-through steam generators -- 4.3.1. Flow paths -- 4.3.2. Heat transfer -- 4.3.3. Flow-affected phenomena leading to degradation -- 4.3.4. Theoretical approach to solving thermalhydraulics -- Acknowledgments -- References -- Chapter 5: WWER steam generators -- 5.1. Description of WWER steam generators -- 5.2. SGs degradation -- 5.3. WWER SGs modifications -- 5.4. Integrity of heat exchange tubes -- 5.4.1. Conclusions -- References -- Part Two: Operation and maintenance. Chapter 6: Steam-water cycle chemistry relevant to nuclear steam generators -- 6.1. Introduction -- 6.1.1. Objective of steam-water cycle water chemistry -- 6.1.2. Root causes for SG degradation -- 6.1.3. Corrosion product control by optimized pH -- 6.2. Water chemistry treatments -- 6.2.1. Historical evolution of steam-water cycle chemistry treatment -- 6.2.2. Ammonia and Hydrazine only (High-AVT) -- 6.2.3. Alternative amines (Morpholine, Ethanolamine, and others) -- 6.2.4. Conclusion -- 6.3. Additional water chemistry measures for high SG performance -- 6.3.1. Minimization of corrosion product generation and transport to SGs -- 6.3.1.1. Oxygen dosing -- 6.3.1.2. Optimized plant lay-up and start-up -- 6.3.2. Corrosion product removal from SGs -- Mechanical cleaning -- 6.3.2.1. Chemical cleaning -- 6.3.3. Corrosion product control by additives -- 6.3.3.1. Dispersants -- 6.3.3.2. Film-forming amines -- 6.3.4. Minimization of formation of aggressive environment in SGs -- 6.4. Water chemistry monitoring and control program -- 6.4.1. Water chemistry guidelines -- 6.4.2. Water chemistry surveillance -- 6.5. Summary -- References -- Chapter 7: Corrosion problems affecting steam generator tubes in commercial water-cooled nuclear power plants -- 7.1. Introduction -- 7.1.1. Overview of steam generator types covered in this chapter -- 7.1.1.1. Vertical PWR steam generators of the Westinghouse Electric (WE) and Combustion Engineering (CE) types -- 7.1.1.2. PHWR steam generators -- 7.1.2. PWR steam generators of the KWU/Siemens/AREVA type with Alloy 800NG tubing -- 7.1.3. PWR once-through steam generators (OTSGs) with Alloy 600SR tubing -- 7.1.4. VVER22VVER is also written as WWER. The initials stand for the name in Russian and mean ``water water energy react ... -- 7.2. Primary side stress corrosion cracking (PWSCC). 7.2.1. Types of steam generators affected, and locations affected by PWSCC -- 7.2.2. Conditions required for occurrence of PWSCC and factors that increase the rate of PWSCC -- 7.2.3. Consequences of PWSCC and likelihood of future occurrence -- 7.3. Denting -- 7.3.1. Locations where denting has occurred -- 7.3.2. Types of steam generators affected by denting -- 7.3.2.1. Materials and design features required for denting to occur -- 7.3.2.2. Consequences of denting and likelihood of future occurrence -- 7.3.3. Secondary side wastage -- 7.3.3.1. Locations where wastage has occurred -- 7.3.3.2. Conditions required for wastage to occur -- 7.3.3.3. Consequences and likely future occurrence of wastage -- 7.3.4. Secondary side pitting -- 7.3.4.1. Pitting in vertical PWR steam generators -- 7.3.4.2. Pitting in vertical PHWR steam generators -- 7.3.4.3. Pitting in horizontal VVER steam generators -- 7.3.5. Secondary side intergranular attack -- 7.3.5.1. IGA affecting OTSGs -- 7.3.5.2. IGA affecting PHWR Alloy 600 steam generators -- 7.3.5.3. IGA affecting Alloy 800NG tubes -- 7.3.5.4. Likelihood of IGA affecting new steam generators -- 7.3.6. Secondary side IGA/SCC -- 7.3.6.1. Steam generators with Alloy 600MA and Alloy 600SR tubing -- 7.3.7. Steam generators with Alloy 800NG tubing -- 7.3.8. Vertical steam generators with Alloy 600TT tubing -- 7.3.9. Horizontal steam generators with stabilized stainless steel tubing -- 7.3.9.1. Causes of secondary side IGA/SCC and methods to minimize its occurrence -- 7.3.10. Secondary side fatigue and corrosion fatigue -- 7.3.11. Secondary side wear -- 7.3.11.1. Wear in vertical steam generators -- 7.3.12. Wear in horizontal steam generators -- 7.3.12.1. Long-term effects of wear -- 7.3.13. Summary comments regarding control of corrosion of steam generator tubes -- 7.3.13.1. Primary side corrosion. 7.3.14. Secondary side corrosion -- References -- Chapter 8: Environmental degradations in PWR steam generators -- 8.1. Introduction -- 8.2. Primary side environmental effects -- 8.2.1. (PW)SCC mechanisms -- 8.2.1.1. Operating experience -- SG tube bundles in alloy 600 (1972-2016+) -- Partition plates -- Steam generator bowl drains (1988-2008) -- Safety nozzles welds -- 8.2.1.2. Modeling -- Damage modeling -- Engineering basic tools -- Component-scale modeling -- 8.2.2. SG corrosion products release -- 8.2.3. Miscellaneous-Undercladding boric acid corrosion -- 8.3. Secondary side environmental effects -- 8.3.1. SG tube bundle -- 8.3.1.1. ODSCC/IGA-Operating experience (1957-2016+) -- 8.3.1.2. ODSCC/IGA-State-of-the-art -- 8.3.1.3. Denting -- 8.3.1.4. Wastage -- 8.3.2. Carbon and low-alloy steels (C&LAS) -- 8.3.2.1. Generalized corrosion and flow-accelerated corrosion (FAC) -- 8.3.2.2. Localized corrosion and environmentally assisted cracking (EAC) -- 8.4. Conclusions -- References -- Chapter 9: Corrosion product transport and fouling in nuclear steam generators -- 9.1. Introduction -- 9.2. SG design and the effect of fouling on performance degradation -- 9.2.1. Recirculating SG -- 9.2.2. Once-through SG -- 9.2.3. Horizontal SG -- 9.2.4. Effect of fouling on SG performance degradation -- 9.3. Corrosion product transport -- 9.3.1. Origin and transport of corrosion products to the SG -- 9.3.2. Corrosion product transport during start-up -- 9.3.3. Mitigating corrosion product transport -- 9.3.4. Corrosion product sampling -- 9.4. Fouling of nuclear SGs-plant experience -- 9.4.1. Overview of deposit loading and distribution -- 9.4.2. Tube bundle fouling-external tube surface -- 9.4.3. Tube bundle fouling-internal tube surface (CANDU SGs) -- 9.4.4. Tube-support structure fouling -- 9.4.5. Tubesheet fouling -- 9.4.6. Fouling of horizontal SGs. 9.5. Fouling mechanisms-fundamental studies and modeling. EBL201709 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4865564 ebook n 201736 201709 21 PUBLIC https://catalogue.library.cern/legacy/2283655 BOOK MIGRATED 2283650 SzGeCERN 20210421210352.0 9780081010440 print version 9780128095140 electronic version electronic version oai:cds.cern.ch:2283650 cerncds:BOOK EBL 4863030 eng TD195.E4.B744 2017 621.3121 Breeze, Paul Electricity generation and the environment London Elsevier Science 2017 110 p ebook Front Cover -- Electricity Generation and the Environment -- Copyright Page -- Contents -- 1 Introduction to Electricity and the Environment -- 1.1 The Awakening of Environmental Awareness -- 1.2 The State of the Electric Power Industry -- 1.3 The Environmental Challenges -- 2 The Carbon Cycle and Atmospheric Warming -- 2.1 The Carbon Cycle -- 2.2 Atmospheric Carbon Dioxide Concentrations -- 2.3 The Effects of Global Warming -- 3 Greenhouse Gas Emissions and Power Generation -- 3.1 Fossil Fuels -- 3.2 Controlling Carbon Dioxide Emissions -- 3.3 Carbon Trading and Carbon Limits -- 3.4 Technological Solutions -- 4 Combustion Plant Emissions: Sulfur Dioxide, Nitrogen Oxides, and Acid Rain -- 4.1 Air Quality Standards -- 4.2 The Fuels -- 4.2.1 Coal -- 4.2.2 Natural Gas -- 4.2.3 Oil -- 4.3 Acid Rain -- 4.4 Controlling Acid Rain -- 4.5 Fossil Fuel Plants and Smog -- 4.6 Dust and Particulates -- 4.7 Volatile Organic Compounds and Carbon Monoxide -- 4.8 Heavy Metals -- 5 The Nuclear Question -- 5.1 Nuclear Power, Nuclear Weapons, and Nuclear Accidents -- 5.2 Nuclear Power and Global Warming -- 5.3 Radioactive Waste -- 5.4 Waste Categories -- 5.5 Decommissioning -- 6 Renewable Energy and the Environment -- 6.1 The Technologies -- 6.2 Managing Solar and Wind Energy Intermittency -- 6.3 Rotating Machines and Grid Inertia -- 6.4 Biomass Issues -- 6.5 Hydropower -- 6.6 Wind, Solar, and Marine Technologies -- 6.7 Geothermal Power -- 7 The Hydrogen Economy -- 7.1 Hydrogen Production -- 7.2 Hydrogen Storage and Transportation -- 7.3 Hydrogen and Power Generation -- 8 Low-Level Environmental Intrusion -- 8.1 Power Plant Construction -- 8.2 Power Plant Operation -- 8.3 Power Plant Decommissioning -- 9 Life-Cycle Assessment -- 9.1 Types of Life Cycle Analysis -- 9.2 Greenhouse Gas Emissions and the Carbon Footprint -- 9.3 Energy Payback. 9.4 Levelized Cost of Electricity -- 10 Externalities: Putting a Price on Environmental Damage -- 10.1 Putting a Price on Externalities -- 10.2 The External Cost of Power Generation -- 10.3 Internalizing External Costs -- 11 The Bottom Line -- Index -- Back Cover. EBL201709 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4863030 ebook n 201736 201709 21 PUBLIC https://catalogue.library.cern/legacy/2283650 BOOK MIGRATED 2283646 SzGeCERN 20200503231951.0 9781498777391 print version 9781498777469 electronic version electronic version oai:cds.cern.ch:2283646 cerncds:BOOK EBL 4857912 eng HD9502.A2A55 2017 621.042 Bianco, Vincenzo Analysis of energy systems management, planning and policy London CRC Press 2017 321 p ebook Energy systems Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Contributors -- Chapter 1: Systemic Interventions to Achieve a Long-Term Energy Transition toward Sustainability -- 1.1 Multi-Dimensions of Energy System Transition -- 1.2 Complex Link between Energy and Development -- 1.3 Co-Benefits from the Energy Transition -- 1.4 Integrated Policy Interventions -- References -- Chapter 2: Energy and Climate Planning: The Role of Analytical Tools and Soft Measures -- 2.1 Introduction -- 2.2 Energy and Climate Planning: The Policy Framework -- 2.3 Energy Awareness and Behavioral Aspects -- 2.4 Energy Planning Methods and Tools -- 2.4.1 Concepts of Energy Planning -- 2.4.2 Energy Models -- 2.4.3 Tools for Local Administrators -- 2.5 Citizens Engagement and Local Action Plans: From Theory to Practice -- 2.5.1 Citizens Engagement -- 2.5.2 The Development of a Local Action Plan -- 2.6 Conclusive Remarks -- References -- Chapter 3: Energy Innovation Policy: Fostering Energy Service Companies -- 3.1 Introduction -- 3.2 Research on Energy Service -- 3.3 Role of Oilfield Service Companies in Russia -- 3.4 Discussion -- 3.5 Conclusion -- Acknowledgment -- References -- Chapter 4: Competitiveness of Distributed Generation of Heat, Power, and Cooling: -- 4.1 Introduction -- 4.1.1 Concept and Definition -- 4.1.2 Centralized versus Distributed Generation of Heat, Power, and Cooling -- 4.1.3 Benefits of Distributed Generation -- 4.1.3.1 Technical -- 4.1.3.2 Economic -- 4.1.3.3 Environmental -- 4.2 Distributed Generation Technologies -- 4.2.1 Distributed Combined Generation (Autoproducers) -- 4.2.1.1 System Design -- 4.2.1.1.1 Internal Combustion Engine -- 4.2.1.1.2 Micro-Turbines. 4.2.1.2 Selection and Design Considerations of a Distributed Cogeneration Plant -- 4.2.1.3 Operation Strategies -- 4.2.1.4 Competitiveness of Distributed Generation -- 4.2.1.5 Theoretical Formulation of Competitiveness -- 4.2.1.6 Analysis of Spark Spread Sensitivity on Various Characteristics -- 4.2.1.6.1 Operational Viability -- 4.2.1.6.2 Investment Viability -- 4.2.2 Renewable Distributed Generation -- 4.2.2.1 Competitiveness in Photovoltaics -- 4.3 Overview of Policies, Concerns, and Recommendations -- 4.3.1 Status and Barriers -- 4.3.2 Policy Issues and Recommendations for the Expansion of Distributed Generation -- Nomenclature -- References -- Chapter 5: Are Smart Grids the Holy Grail of Future Grid Mix? Economic, Environmental, and Regulatory Opportunities for Smart Grid Development in Northwestern Europe -- 5.1 State of the Art and Driving Forces for a Smarter Energy System in Europe -- 5.2 Economic and Environmental Benefits of Adopting SG Technologies -- 5.2.1 Literature Review of Existing Impact Assessments -- 5.2.2 Critical Evaluation of the Outcomes of the Economic and Environmental Impact Assessment of SGs -- 5.2.3 Conclusions -- 5.3 Energy Efficiency and CO 2 Intensity of a Smarter Energy System: Case Study of Belgium -- 5.3.1 Life Cycle Inventory Construction -- 5.3.2 Life Cycle Impact Assessment -- 5.3.3 Conventional Grid and SGs -- 5.4 Regulatory Framework and Barriers Regarding SG Applications for Household and SMEs -- 5.4.1 Deployment of SG Technologies -- 5.4.2 Electricity Retail Prices -- 5.4.2.1 Flanders -- 5.4.2.2 United Kingdom -- 5.4.2.3 Ireland -- 5.4.2.4 The Netherlands -- 5.4.3 Demand-Response Services -- 5.4.3.1 Energy-Market Products -- 5.4.3.2 Ancillary Service and CRM Market Products -- 5.4.4 Regulatory Practices and Barriers -- 5.4.4.1 Market Entry -- 5.4.4.2 Market Roles. 5.4.4.3 Energy Prices -- 5.4.4.4 Network Tariffs and DSO Remuneration -- 5.5 Conclusions -- Acknowledgments -- References -- Chapter 6: Renewables Optimization in Energy-Only Markets -- 6.1 Introduction -- 6.2 Growth of RES-E -- 6.3 "Merit-Order Effect" and the "Missing Money Problem" -- 6.4 Market Integration of High Level RES-E -- 6.5 RES-E Optimization through Market Integration -- 6.6 Final Remarks -- Acknowledgments -- References -- Chapter 7: Optimal Scheduling of a Microgrid under Uncertainty Condition -- 7.1 Introduction -- 7.2 Microgrids -- 7.2.1 Definitions -- 7.2.2 Structures of Control -- 7.2.3 Microgrid Ownership and Business Model -- 7.2.3.1 The DSO Monopoly Model -- 7.2.3.2 The Prosumer Consortium Model -- 7.2.3.3 The Free Market Model -- 7.3 Deliberalized Energy Market Structure -- 7.3.1 Agents in the Deregulated Electricity Market -- 7.3.2 The Pool -- 7.4 Uncertainties Evaluation -- 7.4.1 Uncertainty Factors -- 7.4.1.1 Load -- 7.4.1.2 Electricity Prices -- 7.4.1.3 Renewable Power Production -- 7.4.2 Forecasting Techniques -- 7.4.2.1 Conventional Approach -- 7.4.2.1.1 Time Series Models -- 7.4.2.1.2 Moving Average (MA) Models -- 7.4.2.1.3 Autoregressive (ARMA) -- 7.4.2.1.4 ARIMA Model -- 7.4.2.1.5 Regression Models -- 7.4.2.1.6 Kalman Filtering Based Techniques -- 7.4.2.2 Computational Intelligence -- 7.4.2.2.1 Artificial Neural Network (ANN) -- 7.4.2.3 Other Approach: The Weather Predictions -- 7.4.2.3.1 Analogs Ensemble (AnEn) -- 7.4.2.3.2 Fuzzy Inference and Fuzzy-Neural Models -- 7.4.2.3.3 Evolutionary Programming and Genetic Algorithms -- 7.5 Case Study -- 7.6 Conclusion -- References -- Chapter 8 Cost-Benefit Analysis for Energy Policies -- Abstract -- 8.1 Introducing Cost-Benefit Analysis -- 8.2 Historical Development of CBA -- 8.3 Assessing Costs and Benefits. 8.4 Basic Principles Underpinning CBA -- 8.5 Beyond CBA: Other Appraisal Tools to Assess Energy Policies, Programs, and Projects -- 8.6 CBAs on Energy: Institutional Differences -- 8.6.1 CBAs on Energy Policies by Government Departments -- 8.6.2 CBAs on Energy Regulation -- 8.6.3 CBAs by the European Commission -- 8.7 Quality of the Data and CBAs on Energy -- 8.8 Conclusion -- References -- Chapter 9: Benchmarking Energy Efficiency Transitions in MENA Countries -- 9.1 Introduction: Background and Context -- 9.2 Drivers of Energy Efficiency in MENA -- 9.3 The Arab Future Energy Index -- 9.4 Areas of Assessment and Parameters -- 9.5 Comparing Results from Two Cycles of Benchmarking -- 9.5.1 2013 Cycle -- 9.5.2 2015 Cycle -- 9.6 Discussion and Concluding Remarks -- References -- Chapter 10: Analysis of the European Energy Context: A Snapshot of the Natural Gas Sector -- 10.1 Introduction -- 10.2 Preliminary Background -- 10.3 Organization of Natural Gas Industry -- 10.4 European Regulatory Framework -- 10.5 Supply and Demand Balance in Europe -- 10.5.1 Analysis of the Consumption -- 10.5.2 Analysis of the Supply -- 10.5.3 Development of Infrastructure -- 10.6 Natural Gas Pricing -- 10.6.1 Market Context -- 10.6.2 Oil-Linked Formulas -- 10.6.3 Gas Hubs -- 10.6.4 Hub Pricing -- 10.6.5 Recent Developments -- 10.7 Conclusions -- References -- Chapter 11 The Spanish Energy Policy Roller Coaster within the European Union: A Spotlight on Renewables -- 11.1 Introduction -- 11.2 State of the Art of Renewable Energy Sources -- 11.2.1 Global View of Renewable Energy Sources -- 11.2.2 Relevance of Renewable Energy Sources in the EU -- 11.3 Spanish Focus on Renewables -- 11.4 Stages of the Renewable Energy Policy -- 11.4.1 Initiating the Support of Renewables. 11.4.2 Development of Specific Technologies and Strong Support of Renewables -- 11.4.2.1 Slowing the Support of Renewables -- 11.4.3 Counterpart of Renewables Support -- 11.4.3.1 Tariff Deficit -- 11.4.3.2 Security Supply -- 11.5 Conclusions -- References -- Index. EBL201709 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4857912 ebook n 201736 201709 21 PUBLIC BOOK DELETED 2283638 SzGeCERN 20210421210353.0 9781785610554 print version 9781785610561 electronic version electronic version oai:cds.cern.ch:2283638 cerncds:BOOK EBL 4844838 eng TK1041 621.199 Frangopoulos, Christos A Cogeneration technologies, optimisation and implementation Stevenage Institution of Engineering & Technology 2017 361 p ebook Energy engineering 87 Contents -- Preface -- Short biographies -- 1. Introduction - Christos A. Frangopoulos -- 2. Energy use in the world and the benefits of cogeneration - Jacob Klimstra -- 3. Cogeneration technologies - Jacob Klimstra -- 4. Electrical engineering aspects - Mats Östman -- 5. Applications of cogeneration - Jacob Klimstra -- 6. Fuels for cogeneration systems - Jacob Klimstra -- 7. Thermodynamic analysis - Christos A. Frangopoulos -- 8. Environmental impacts of cogeneration - Wojciech Stanek and Lucyna Czarnowska -- 9. Reliability and availability - Jacob Klimstra -- 10. Economic analysis of cogeneration systems - Christos A. Frangopoulos -- 11. Regulatory and legal framework of cogeneration - Costas G. Theofylaktos -- 12. Selection, integration and operation of cogeneration systems - Jacob Klimstra -- 13. Simulation and optimisation of synthesis, design and operation of cogeneration systems - Christos A. Frangopoulos -- 14. Examples of cogeneration projects - Costas G. Theofylaktos -- 15. Research and development on cogeneration - Christos A. Frangopoulos -- 16. Summary and conclusions - Christos A. Frangopoulos -- Index. Cogeneration refers to the use of a power station to deliver two or more useful forms of energy, for example, to generate electricity and heat at the same time. This book provides an integrated treatment of cogeneration, including a tour of the available technologies and their features, and how these systems can be analysed and optimised. EBL201709 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4844838 ebook n 201736 201709 21 PUBLIC https://catalogue.library.cern/legacy/2283638 BOOK MIGRATED 2283636 SzGeCERN 20210421210354.0 9781785610974 print version 9781785610981 electronic version electronic version oai:cds.cern.ch:2283636 cerncds:BOOK EBL 4844836 eng TK3105 621.31 Obara, Shin'ya Clean energy microgrids Stevenage Institution of Engineering & Technology 2017 374 p ebook Energy engineering Contents -- Preface -- Acknowledgements -- 1. Origin of clean energy systems - Shin'ya Obara -- 2. Key concepts - Shin'ya Obara -- 3. Control and energy management system in microgrids - Wencong Su -- 4. Storage systems for microgrids - Shin'ya Obara -- 5. Reliability and power quality - Jorge Morel -- 6. Clean generation in microgrids - Jorge Morel -- 7. Microgrids in Japan - Jorge Morel -- 8. Microgrids in Europe - Sergio Rivera and Tomas Valencia -- 9. Microgrids in the United States - Sergio Rivera and Miguel Leon -- 10. Microgrids in developing countries - Sergio Rivera, Wiston Ñustes, Miguel León and Juan Rodríguez -- Index. This book describes the latest technology in microgrids and economic, environmental and policy aspects of their implementation, including microgrids for cold regions, and future trends. The aim of this work is to give this complete overview of the latest technology around the world, and the interrelation with clean energy systems. EBL201709 XX SzGeCERN BOOK Morel, Jorge https://cds.cern.ch/auth.py?r=EBLIB_P_4844836 ebook n 201736 201709 21 PUBLIC https://catalogue.library.cern/legacy/2283636 BOOK MIGRATED 2283594 SzGeCERN 20171214170630.0 9783319479613 (electronic bk.) electronic version 9783319479606 electronic version EBL 4749000 eng TA401-492 541.2254 Rodríguez-Hernández, Juan Polymers against microorganisms on the race to efficient antimicrobial materials Cham Springer 2016 283 p Preface -- Acknowledgements -- Contents -- Chapter 1: Polymers Against Microorganisms -- 1.1 Infectious Diseases: Historical Context -- 1.1.1 Mechanisms of Resistance to Antibacterial Agents -- 1.2 Implant-Associated Infections -- 1.3 The Use of Macromolecules as Antimicrobials -- 1.4 About This Book -- References -- Chapter 2: Bacterial Infections: Few Concepts -- 2.1 Introduction -- 2.2 Bacterial Structure -- 2.3 Interactions Mechanisms of Antimicrobials with Bacteria in Solution -- 2.3.1 Bacterial Targets of Antibiotics -- 2.3.2 Antibiotic Resistance Developed by Bacteria -- 2.3.2.1 Mechanism 1: Pump Out the Antibiotic -- 2.3.2.2 Mechanism 2: Reduce the Permeability of the Cell Membrane -- 2.3.2.3 Mechanism 3: Modification of the Antibiotic Structure -- 2.3.2.4 Mechanism 4: Changing the Target Structure -- 2.3.3 Macromolecular Antimicrobials -- 2.4 Biomaterials Surface: Device-Associated Infections -- 2.4.1 Adhesion, Adherence, and Attachment -- 2.4.2 Bacterial Adhesion to Biomaterials Surfaces -- 2.4.2.1 Phase One in Bacterial Adhesion -- 2.4.2.2 Phase Two in Bacterial Adhesion -- 2.4.3 Biofilm Formation -- 2.4.4 Antibiotic Resistance of Bacteria in Biofilms -- 2.4.5 Approaches Developed to Achieve Polymeric Biomaterials with Antibacterial Properties -- 2.4.5.1 Bacteria Repelling and Antiadhesive Surfaces -- 2.4.5.2 Bioactive Materials with Intrinsically Antibacterial Properties -- 2.4.5.3 Materials Incorporating Bioactive Molecules Interfering with the Production of Bacterial Biofilm -- 2.5 Conclusions -- References -- Chapter 3: Chemical Approaches to Prepare Antimicrobial Polymers -- 3.1 Introduction -- 3.2 Types of Antimicrobial Groups Incorporated in Polymers -- 3.2.1 Quaternary Ammonium/Phosphonium -- 3.2.2 N-Halamine and Other Halogen Containing Polymers -- 3.2.3 Antimicrobial Peptides and Other Polymers Mimicking Natural Peptides. 3.2.4 Other Antimicrobial Functional Groups -- 3.3 Synthetic Strategies to Prepare Antimicrobial Polymers -- 3.4 Interactions Between Bacteria and Polymeric Materials: Role of the Macromolecular Parameters on the Antibacterial Activity -- 3.4.1 Hydrophilic/Hydrophobic Balance -- 3.4.2 Molecular Weight -- 3.4.3 Polymer Topology -- 3.4.3.1 Homopolymers/Copolymers/Telechelic Polymers -- 3.4.3.2 Block Copolymers Versus Random Copolymers -- 3.4.3.3 Dendrimers and Brush Polymers -- 3.4.4 Monomer Derivatization with Alkyl Chains: Spacer Length and Alkyl Chain Effect -- 3.4.5 Other Macromolecular Parameters Involved in the Antibacterial Activity -- 3.5 Evaluation of the Antimicrobial Activity: In Vitro Testing -- 3.6 Conclusions -- References -- Chapter 4: Nano-Micro Polymeric Structures with Antimicrobial Activity in Solution -- 4.1 Introduction -- 4.2 Amphiphilic Antimicrobial Structures in Solution: Key Variables to Take into Account -- 4.3 Antimicrobial Random/Alternated Copolymers in Solution -- 4.4 Self-Assembled Block Copolymer-Based Antimicrobial Nanostructures -- 4.5 Hybrid Organic/Inorganic Nano-Assemblies in Solution -- 4.6 Polymeric Nanocapsules -- 4.7 Polymeric Nanoparticles -- 4.8 Core/Shell Nanoparticles -- 4.9 Fabrication of Microspheres for Antibacterial Purposes -- 4.10 Responsive Nanoparticles/Assemblies -- 4.11 Conclusions -- References -- Chapter 5: Antimicrobial/Antifouling Surfaces Obtained by Surface Modification -- 5.1 Introduction -- 5.2 Polymer Surface Modification -- 5.3 Techniques to Functionalize Polymer Surfaces -- 5.4 Anti-Adhesive Polymer Surfaces: Antifouling -- 5.5 Antibacterial Coatings -- 5.5.1 Biocide-Releasing Antibacterial Coatings -- 5.5.2 Intrinsically Bioactive Materials: Contact-Active Biocidals -- 5.6 Dual-Function Antibacterial Surfaces for Biomedical Applications -- 5.6.1 Repelling and Releasing Surfaces. 5.6.2 Contact-Killing and Repelling -- 5.6.3 Releasing and Contact-Killing -- 5.7 Responsive Antibacterial Surfaces -- 5.7.1 Thermoresponsive Surfaces -- 5.7.2 pH-Responsive Surfaces -- 5.7.3 Bioresponsive Surfaces -- 5.7.4 Other Responsive Interfaces -- 5.8 Conclusions -- References -- Chapter 6: Nano/Microstructured Antibacterial Surfaces -- 6.1 Introduction -- 6.2 Fabricating Micro- and Nanometer Size Patterns on Polymer Surfaces -- 6.2.1 Innovative Lithographic Techniques -- 6.2.2 Laser-Based Micro-Nanopatterning -- 6.2.3 Writing Using Electron and Ion Beams -- 6.2.4 Molding -- 6.2.5 Pattern Formation by Surface Instabilities -- 6.2.5.1 Spontaneous Structuration Driven by Surface/Interfacial Energy -- 6.2.5.2 Field-Induced and Dynamic Control of Surface Structuration -- 6.2.5.3 Influence of Water on Hydrophobic Polymer Surfaces -- 6.3 Micro/Nanostructured Antimicrobial Surfaces in Nature -- 6.3.1 Nanostructured Surfaces that Repel/Kill Bacteria in Nature -- 6.3.2 Hierarchically Structured Surfaces with Antifouling Properties -- 6.4 Engineering Bioinspired Surfaces with Either Micro- or Nanostructured Topographic Structures -- 6.4.1 Synthetic Structured Polymer Surfaces with Micrometer Size Patterns -- 6.4.2 Nanoscale Surface Patterns in Polymeric Materials as Antimicrobial Materials -- 6.5 Engineered Surfaces with Micro/Nanostructured Topographic Features and Chemically Controlled Surface -- 6.6 Nanostructured Composite Films -- 6.7 Nanostructured Responsive Surfaces -- 6.8 Conclusions -- References -- Chapter 7: Antimicrobial Fibers and Fabrics Obtained by Electro/Melt Spinning -- 7.1 Introduction -- 7.2 Approaches for Fiber Fabrication -- 7.2.1 Melt, Solution, and Emulsion Spinning -- 7.2.2 Electrospinning -- 7.2.3 Melt Blowing -- 7.3 Fibers Bearing Antimicrobial Molecules -- 7.4 Hybrid Organic-Inorganic Nanofibers with Antimicrobial Properties. 7.5 Antibacterial Fibers with Covalently Bonded Biocides -- 7.6 Fibers with Responsive Antimicrobial Activity -- 7.7 Biodegradable Fibers with Antimicrobial Properties -- 7.8 Conclusions -- References -- Chapter 8: Antimicrobial Hydrogels -- 8.1 Introduction -- 8.2 Types of Hydrogels -- 8.3 Hydrogels as Supports of Antimicrobial Agents -- 8.3.1 Hydrogels Containing Antimicrobial Metal Nanoparticles -- 8.3.2 Hydrogels Loaded with Antibiotics -- 8.3.3 Hydrogels Loaded with Antimicrobial Agents -- 8.4 Hydrogels with Inherent Antimicrobial Properties -- 8.4.1 Antimicrobial Peptide-Based Hydrogels -- 8.4.2 Antimicrobial Hydrogels Prepared from Natural Polymers -- 8.5 Dual Antimicrobial/Antifouling Hydrogels -- 8.6 Responsive Hydrogels with Antimicrobial Properties -- 8.7 Conclusions -- References -- Chapter 9: Antibacterial Polymeric Membranes -- 9.1 Introduction to Polymer Membranes -- 9.2 Contamination of Polymeric Membranes -- 9.2.1 Membrane Biofouling -- 9.3 Strategies for the Modification of Polymeric Membranes -- 9.4 Types of Antifouling/Antimicrobial Polymers Employed in the Fabrication of Membranes -- 9.4.1 Membrane Surface Modification with Anti-Adhesive Polymers -- 9.4.2 Antimicrobial Biocides and Polymers Incorporated in Polymeric Membranes -- 9.5 Responsive Membranes -- 9.6 Conclusions -- References -- Chapter 10: Environmental and Safety Issues -- 10.1 Introduction -- 10.2 Using Small Biocides Released from the Polymer -- 10.3 Alternatives to Small Biocides: Nonleaching Polymer Materials -- 10.4 Safety Concerns Related to the Use of Different Antimicrobial Polymers: Cytotoxicity Against Mammalian Cells -- 10.4.1 General Mechanisms of Antimicrobial Toxicity -- 10.4.1.1 Unexpected Interactions Between Drugs -- 10.4.1.2 Direct Effects of the Drugs on Tissues and Organs -- 10.4.1.3 Drugs Producing Hypersensitivity. 10.4.1.4 Changes in Microbial Flora Produced by Antimicrobials -- 10.4.1.5 Release of Toxic Products after Microbial Lysis -- 10.4.2 Cytotoxicity of Antimicrobial Polymers -- 10.4.3 Cytotoxicity of Hybrid Antibacterial Nanostructures -- 10.5 Environmental Friendly Non-Fouling Polymeric Materials -- 10.5.1 Strategies Approaches Based on the Modification of the Surface Chemistry -- 10.5.2 Fabrication of Nontoxic Antifouling Interfaces Based on the Surface Physical Properties -- 10.6 Particular Environmental and/or Safety Concerns Related to the Final Use and Conclusions -- 10.6.1 Particular Considerations in Polymeric Antimicrobial Packaging Systems -- 10.6.2 Modern Approaches to Environmentally Effective Marine Antifouling Coatings -- 10.7 Conclusions -- References -- Chapter 11: Applications and Current Status of Antimicrobial Polymers -- 11.1 Introduction -- 11.2 Main Areas of Application of Antimicrobial Polymers -- 11.2.1 Applications in the Fabrication of Medical and Healthcare Products -- 11.2.2 Antimicrobial Polymers in Food Packaging Applications -- 11.2.3 Textile Products -- 11.2.4 Water Treatment -- 11.2.5 Antimicrobial Paints -- 11.3 Gap Between Lab-Scale and Reality -- 11.4 Clinical Status of Antimicrobial Polymers -- 11.5 Conclusions -- References. 9783319479606 print version oai:cds.cern.ch:2283594 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4749000 ebook ebook XX SzGeCERN EBL201709 BOOK n 201736 201709 21 PUBLIC BOOK DELETED 2283573 SzGeCERN 20171214170627.0 9783319411903 (electronic bk.) electronic version 9783319411880 electronic version EBL 4732599 eng TA401-492 537.622 Ahluwalia, Gurinder Kaur Applications of chalcogenides Cham Springer 2016 472 p Preface -- Contents -- Contributors -- Part I: Introduction -- Chapter 1: Fundamentals of Chalcogenides in Crystalline, Amorphous, and Nanocrystalline Forms -- 1.1 Chalcogenide Materials and Their Classification -- 1.1.1 Alkali Metal and Alkaline Earth Chalcogenides -- 1.1.2 Transition Metal Chalcogenides (TMCs) -- 1.2 Nanostructured Chalcogenides -- 1.3 Chalcogenide Glasses (ChGs) -- 1.4 Structure, Bonding, and Band Structure -- 1.5 Band Structures and Band Gaps of Selected Chalcogenide Alloys (Theoretical Calculations) -- 1.5.1 CdSSe Nanostructures -- 1.5.2 CuInSe2 -- 1.5.3 CuInTe2 -- 1.5.4 ZnS and ZnSe -- 1.5.5 CdTe -- 1.5.6 GeSbTe (GST) -- 1.5.7 HgCdTe -- 1.5.8 PbSe -- 1.5.9 Se and As and Cl Doped Se -- 1.5.9.1 Trigonal Se -- I. Crystal Structure of Trigonal Se -- II. Band Structure of Trigonal Se -- III. Density of States of Trigonal Se -- 1.5.10 Se Doped with As and Cl -- 1.5.10.1 Case 1: As Doped Se -- 1.5.10.2 Case 2: Cl Doped Se -- 1.5.10.3 Case 3: As and Cl Doped Se -- 1.6 Amorphous, Crystalline, and Nanocrystalline Chalcogenides -- 1.7 Defects in Amorphous Chalcogenides -- 1.8 Photoinduced Effects in Amorphous Semiconductors -- 1.9 Avalanche Multiplication -- 1.10 Ionic and Electronic Conductivity -- 1.11 Nanostructuring -- 1.12 Biomedical Applications: Cancer Chemopreventive Effects -- 1.13 Brief Review -- 1.14 Effects Discovered in Chalcogenide Glasses [39] -- References -- Chapter 2: Techniques for Structural Investigations (Theory and Experimental) -- 2.1 Introduction -- 2.1.1 Density Functional Theory (DFT) -- 2.1.2 Kohn-Sham´s Equation -- 2.1.3 Full Potential Augmented Plane Wave Method -- 2.1.4 MBJ (Modified Becke-Johnson) Exchange Potential -- 2.1.5 Real Space Multiple Scattering (RSMS) -- 2.1.6 Rehr-Albers Method -- 2.1.7 EXAFS (Extended X-ray Absorption Fine Structure) Classic Theory. 2.2 Computer Programs for Electronic Structure Calculations -- 2.2.1 WIEN Program -- 2.2.2 FEFF Program -- 2.3 XPS (X-ray Photo-electron Spectroscopy) -- 2.4 Analysis of Se-Te System Using XPS, WIEN, and TEM -- 2.5 XANES (X-ray Absorption Near-Edge Spectroscopy) -- 2.6 Analysis of Material Systems -- 2.6.1 CdS, CdSSe, and CdSe -- 2.6.2 Se, SeTe, and SeTeSb Systems -- 2.6.3 As2Se3 -- 2.6.4 ZnS -- 2.7 EXAFS of CdSSe Nanostructures -- 2.8 XEOL (X-ray Excited Optical Luminescence) -- 2.8.1 XEOL of CdSSe -- 2.9 SSHG (Surface Second Harmonic Generation) -- 2.10 Monte Carlo Simulations -- 2.11 Summary -- 2.12 Discussion -- References -- Chapter 3: Nanostructured Chalcogenides -- 3.1 Introduction -- 3.2 Size and Shape Controlled Synthesis of Nanoparticles -- 3.3 Methods of Synthesis -- 3.3.1 Preparation of PbS Nanocrystals (NCs) -- 3.3.2 Synthesis of Surfactant Core-Shell PbSe and CuSe NCs -- 3.3.3 Synthesis of Se-Te Alloy NCs -- 3.3.4 Synthesis of QDs -- 3.4 Shape and Size Characterization of Nanocrystals -- 3.4.1 Lead Sulfide (PbS) -- 3.4.1.1 Star Shaped Morphology -- 3.4.1.2 Hexagonal -- 3.4.1.3 Cubic -- 3.4.1.4 Octahedron -- 3.4.1.5 Nanowires/Nanothreads/Nanosheets -- 3.4.1.6 Quantum Dots (QDs) -- 3.4.1.7 Superlattices -- 3.4.2 PbSe -- 3.4.2.1 Nanocrystals (NCs) -- 3.4.2.2 Nano Cubes -- 3.4.2.3 Nano Wires (NWs) -- 3.4.2.4 PbSe/PbS QDs -- 3.5 Cadmium Sulfide (CdS) -- 3.5.1 CdS/CdSe/CdTe Heterostructures -- 3.5.2 CdS-NWs/Nanorods -- 3.5.3 CdSSe -- 3.5.4 CdSe/CdS -- 3.6 Zinc Oxide/Zinc Sulfide/Zinc Selenide (ZnO/ZnS/ZnSe) -- 3.6.1 ZnO -- 3.6.1.1 Spheres -- 3.6.1.2 Nanowires -- 3.6.2 ZnS -- 3.7 Se/Te Nanocrystals -- 3.8 Selenium-Nanocrystals and Nanowires -- 3.9 Germanium Antimony Telluride (GeSbTe): GST -- 3.10 Future Outlook and Summary -- References -- Part II: Sulfur -- Chapter 4: Optical Fibers -- 4.1 Introduction. 4.2 Basic Principle: Phenomena of Total Internal Reflection -- 4.3 Parameters for Optical Fiber Applications -- 4.3.1 Refractive Index -- 4.3.2 Core Size and Numerical Aperture -- 4.4 Loss Mechanisms in Optical Fibers -- 4.5 Materials for Optical Fibers -- 4.6 Chalcogenide Glass Optical Fibers -- 4.6.1 Passive Applications -- 4.6.1.1 Laser Power Delivery -- 4.6.1.2 Chemical Sensing -- 4.6.1.3 Temperature Monitoring, Thermal Imaging, and Hyperspectral Imaging -- 4.6.1.4 Near Field Microscopy -- 4.6.1.5 Fiber Multiplexing -- 4.6.2 Active Applications -- 4.6.2.1 Rare Earth (RE) Doped Fibers -- 4.6.2.2 Fiber Lasers -- 4.6.2.3 Fiber Amplifiers (FAs) -- 4.6.2.4 Fiber Bragg Gratings (FBGs) -- 4.6.3 Nonlinear Effects -- 4.6.4 Super Continuum Generation -- 4.7 Experimental Techniques for Making Optical Fiber [8] -- 4.7.1 Preforms and Microstructured Fibers Fabrication -- 4.8 Summary -- References -- Part III: Selenium -- Chapter 5: Imaging and Detection -- 5.1 Introduction -- 5.2 X-Ray Imaging for Medical Applications -- 5.3 Factors Affecting the Performance of Detectors -- 5.3.1 Detector Size -- 5.3.2 Modulation Transfer Function (MTF) -- 5.3.3 Nyquist Frequency -- 5.3.4 Spatial Resolution -- 5.3.5 Detective Quantum Efficiency (DQE) -- 5.3.6 Image Quality -- 5.3.7 Pixel Size and Matrix Size -- 5.3.8 Monolithic Panels Versus Tiled Arrays -- 5.3.9 Bad Pixels and Rows -- 5.3.10 Image Acquisition Time and Rate -- 5.3.11 Dynamic Range -- 5.4 Available Technologies -- 5.4.1 Photostimulable Storage Phosphors (PSP) -- 5.4.2 Charge Coupled Devices (CCD) -- 5.4.3 Flat Panel Detectors: Direct Versus Indirect Conversion -- 5.4.3.1 Direct Conversion Detectors -- 5.4.3.2 Indirect Detection -- 5.5 Material Selection for Imaging Applications -- 5.5.1 Quantum Efficiency: AQ -- 5.5.2 Electron-Hole Pair Creation Energy W -- 5.5.3 Dark Current. 5.5.4 Charge Collection Efficiency (CCE) -- 5.5.5 X-Ray Damage and Fatigue -- 5.5.6 Large Area Fabrication -- 5.5.7 Need for Speed -- 5.6 Selenium: Band Structure Considerations -- 5.7 Density of States (DOS) in a-Se -- 5.7.1 Avalanche Breakdown and HARP -- 5.7.1.1 HARP: Structure Details and Operation -- 5.8 Future Outlook and Summary -- References -- Chapter 6: Electrochemical Sensors -- 6.1 Introduction -- 6.2 ISE Principles and Theory -- 6.2.1 Sensor Response and the Phase Boundary Potential -- 6.2.2 Selectivity -- 6.2.3 Sensitivity -- 6.3 Analytical Methodologies -- 6.3.1 Single-Point Calibration -- 6.3.2 Calibration Curves -- 6.3.3 Standard Addition -- 6.4 Types of ISE and Species Sensed -- 6.4.1 First-Order Indicator Electrodes -- 6.4.2 Second-Order Indicator Electrodes -- 6.4.3 Membrane-Based ISE -- 6.4.4 Gas Sensing ISE -- 6.4.5 Non-specific Multisensors -- 6.5 Chalcogenide Membrane-Based Potentiometric Sensor Electrodes -- 6.5.1 Membrane Fabrication -- 6.5.2 Membrane Composition and Structure -- 6.5.3 Mechanism of Ion Exchange for Zn and Sn ISE -- 6.5.3.1 Zn ISE -- 6.5.3.2 Tin (Sn) ISE -- 6.6 Trends and Development -- 6.6.1 Multi-sensor Arrays and the Electronic Tongue -- 6.6.2 Metallic Doping of chalcogenides -- 6.6.3 Sensor Miniaturization -- 6.6.3.1 Fabrication of Chalcogenide Glass-Based Thin-Film Sensor Arrays -- 6.7 Summary -- References -- Chapter 7: Biomedical Applications -- 7.1 Introduction -- 7.2 Toxicity of Nanomaterials -- 7.3 QDs as Fluorescent Biomarker -- 7.4 Instrumentation for Bioimaging -- 7.5 Unique Properties of Selenium: Anticarcinogenic Effect -- References -- Chapter 8: Selenide Glass Fibers for Biochemical Infrared Sensing -- 8.1 Introduction -- 8.2 Methods -- 8.2.1 Fiber Evanescent Wave Spectroscopy -- 8.2.1.1 Infrared Absorption -- 8.2.1.2 Remote Spectroscopy -- 8.2.1.3 Evanescent Waves, Total Internal Reflection. 8.2.1.4 Sensing Zone -- 8.2.1.5 Advanced Spectral Analysis -- 8.2.2 Chalcogenide Glasses -- 8.2.2.1 Optical Transmission -- 8.2.2.2 Fiber Versus Window Transmission -- 8.2.2.3 Synthesis of Chalcogenide Glasses -- 8.2.2.4 Fiber Production -- 8.2.2.5 Biocompatibility and Chemical Stability -- 8.2.2.6 Hydrophobicity -- 8.2.2.7 Mechanical Properties -- 8.3 Application to Chemical and Biomedical Sensing -- 8.3.1 Food Safety -- 8.3.2 Biomedical Diagnostics -- 8.3.2.1 Metabolic Profiling in Human -- 8.3.2.2 Metabolic Profiling in Animals -- 8.3.2.3 Metabolic Monitoring of Microorganisms -- 8.3.2.4 Monitoring of Industrial Processes -- 8.3.2.5 Environmental Monitoring -- 8.4 Prospects -- 8.5 Conclusion -- References -- Part IV: Tellurium -- Chapter 9: Data Storage Devices -- 9.1 Introduction -- 9.2 Phase Change Memory -- 9.2.1 Mechanism of Data Storage Using Phase Change Materials -- 9.2.2 Phase Change Memories: A Materials Overview -- 9.2.3 Why Chalcogenide Semiconductors for Memory Devices? -- 9.2.4 GeSbTe (GST) -- 9.2.5 AgInSbTe (AIST) -- 9.2.6 Other (Non-chalcogenide) Materials for Data Storage Devices -- 9.3 Optical Data Storage -- 9.3.1 Challenges Faced by Industry -- 9.3.2 Three Generations of Current Optical Disks -- 9.3.2.1 Compact Disk (CD)-Brief Review -- 9.3.2.2 Digital Versatile Disk (DVD) -- 9.3.2.3 Disk Structure-Digital Video Recording (DVR) -- 9.3.2.4 Blu-ray -- 9.4 Multilayered Disks -- 9.5 Alternative Technologies for Data Storage -- 9.5.1 Holographic Data Storage -- 9.5.2 Fabrication of Patterned Media by Nanoimprint Lithography (NIL) -- 9.6 Multiphoton Technology -- 9.6.1 Two Photon Technology -- 9.6.2 Third Harmonic Generation -- 9.7 Near Field Phase Change Optical Recording and Super-Resolution Near Field Optical Disk-Super-RENS -- 9.8 Semiconductor-Electrical Memory -- 9.8.1 Phase Change Random Access Memories: PCRAMs. 9.8.2 Scaling of PCM Devices. 9783319411880 print version oai:cds.cern.ch:2283573 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4732599 ebook ebook XX SzGeCERN EBL201709 BOOK n 201736 201709 21 PUBLIC BOOK DELETED 2283571 SzGeCERN 20171214170627.0 9783319404905 (electronic bk.) electronic version 9783319404899 electronic version EBL 4731349 eng GB3-5030 523.44 Sharma, Ishan Shapes and dynamics of granular minor planets the dynamics of deformable bodies applied to granular objects in the solar system Cham Springer 2016 364 p Advances in geophysical and environmental mechanics and mathematics Foreword -- ReferencesS. Chandrasekhar, Ellipsoidal Figures of Equilibrium (Yale Univ. Press, New Haven, CT, 1969)H. Cohen, R.G. Muncaster, The Theory of Pseudo-Rigid Bodies (Springer-Verlag, New York, 1988)K.A. Holsapple, Equilibrium configurations of solid cohesionless bodies. Icarus 154, 432-448 (2001)S.J. Ostro et al. Asteroid radar astronomy, in Asteroids III ed. by W.F. Bottkeet al. (U. Arizona Press, 2002), pp. 151-168D.C. Richardson, W. F. Bottke Jr., S.G. Love, Tidal distortion and disruption of Ea -- Preface -- Acknowledgements -- Contents -- Toolbox -- 1 Mathematical Preliminaries -- 1.1 Coordinate Systems -- 1.2 Vectors -- 1.3 Tensors -- 1.3.1 Second-Order Tensors -- 1.3.2 Third- and Fourth-Order Tensors -- 1.4 Coordinate Transformation -- 1.5 Calculus -- 1.5.1 Gradient and Divergence. Taylor's Theorem -- 1.5.2 The Divergence Theorem -- 1.5.3 Time-Varying Fields -- References -- 2 Continuum Mechanics -- 2.1 Introduction -- 2.2 Motion in a Rotating Coordinate System -- 2.2.1 Vectors and Tensors -- 2.2.2 Velocity and Acceleration -- 2.3 Kinematics -- 2.4 Simple Motions -- 2.4.1 Example 1: Pure Rotation -- 2.4.2 Example 2: General Rigid Body Motion -- 2.4.3 Example 3: Homogeneous Motion -- 2.4.4 Example 4: Affine Motion -- 2.5 Local Motion -- 2.5.1 Strain. Surface Change. Volume Change -- 2.5.2 Rate of Local Motion -- 2.5.3 Transport Theorem. Mass Balance -- 2.6 Further Analysis of Simple Motions -- 2.6.1 Example 3: Homogeneous Motion -- 2.6.2 Example 4: Affine Motion -- 2.7 Stress -- 2.8 Moments of the Stress Tensor -- 2.9 Power Balance -- 2.10 Constitutive Laws -- 2.10.1 Rigid-Perfectly Plastic Materials -- 2.10.2 Material Parameters -- References -- 3 Affine Dynamics -- 3.1 Introduction -- 3.2 Governing Equations: Structural Motion -- 3.2.1 Statics -- 3.3 Moment Tensors -- 3.3.1 Gravitational-Moment Tensor -- 3.3.2 Tidal-Moment Tensor. 3.4 Governing Equations: Orbital Motion -- 3.4.1 Circular Tidally-Locked Orbits -- 3.5 Conservation Laws -- 3.5.1 Angular Momentum Balance -- 3.5.2 Power Balance -- 3.5.3 Total Energy of a Deformable Gravitating Ellipsoid -- References -- Equilibrium -- 4 Asteroids -- 4.1 Introduction -- 4.2 Governing Equations -- 4.2.1 Average Stresses -- 4.2.2 Non-dimensionalization -- 4.2.3 Coordinate System -- 4.3 Equilibrium Landscape -- 4.3.1 Oblate Asteroids -- 4.3.2 Prolate Asteroids -- 4.3.3 Triaxial Asteroids -- 4.4 Discussion -- 4.5 Applications -- 4.5.1 Material Parameters -- 4.5.2 Near-Earth Asteroid Data -- 4.5.3 Equilibrium Shapes -- 4.6 Summary -- References -- 5 Satellites -- 5.1 Introduction -- 5.2 Governing Equations -- 5.2.1 Average Stress -- 5.2.2 Orbital Motion -- 5.2.3 Non-dimensionalization -- 5.2.4 Coordinate System -- 5.3 Example: Satellites of Oblate Primaries -- 5.3.1 BP(0) and mathcalBP(1) -- 5.3.2 The Orbital Rate ω''E -- 5.3.3 Equilibrium Landscape -- 5.4 Application: The Roche Problem -- 5.4.1 Material Parameters -- 5.4.2 Moons of Mars -- 5.4.3 Alternate Yield Criteria and Previous Work -- 5.5 Application: Satellites of the Giant Planets -- 5.5.1 Satellite Data -- 5.5.2 Locations -- 5.5.3 Discussion -- 5.6 Summary -- References -- 6 Binaries -- 6.1 Introduction -- 6.2 Governing Equation -- 6.2.1 Average Stresses -- 6.2.2 Orbital Motion -- 6.2.3 Non-dimensionalization -- 6.2.4 Coordinate Systems -- 6.3 Example: Prolate Binary System -- 6.3.1 B(0), mathscrB(1) and B2 -- 6.3.2 The Orbital Rate ωB -- 6.4 Equilibrium Landscape -- 6.5 Example: Fluid Binaries and the Roche Binary Approximation -- 6.6 Application: Binary Asteroids -- 6.6.1 216 Kleopatra -- 6.6.2 25143 Itokawa -- 6.6.3 624 Hektor -- 6.6.4 90 Antiope -- 6.7 Summary -- References -- Stability -- 7 Granular Materials -- 7.1 Introduction -- 7.2 Stability -- 7.2.1 Coordinate System. 7.2.2 Energy Criterion -- 7.2.3 Compatibility and Normality -- 7.2.4 Stability at First-Order -- 7.2.5 Stability at Second-Order -- 7.2.6 Stability to Finite Perturbations -- References -- 8 Asteroids -- 8.1 Introduction -- 8.2 Asteroid Dynamics -- 8.3 Stability -- 8.3.1 Coordinate System -- 8.3.2 Energy Criterion -- 8.4 Example: Rubble-Pile Asteroids -- 8.4.1 Compatible Perturbations -- 8.4.2 Local Stability -- 8.4.3 Stability to Finite Perturbations -- 8.5 Application: Near-Earth Asteroids -- 8.5.1 Near-Earth Asteroid Data -- 8.5.2 Local Stability -- 8.5.3 Planetary Encounters -- 8.6 Summary -- References -- 9 Satellites -- 9.1 Introduction -- 9.2 Satellite Dynamics -- 9.2.1 Structural Deformation -- 9.2.2 Orbital Motion -- 9.3 Stability -- 9.3.1 Coordinate System -- 9.3.2 Energy Criterion -- 9.4 Example: Rubble-Pile Planetary Satellites -- 9.4.1 Orbital Stability -- 9.4.2 Structural Stability -- 9.4.3 Local Stability -- 9.4.4 Stability to Finite Structural Perturbations -- 9.5 Application: Planetary Satellites -- 9.5.1 Local Stability -- 9.5.2 Stability to Finite Structural Perturbations -- 9.6 Summary -- References -- 10 Binaries -- 10.1 Introduction -- 10.2 Binary Dynamics -- 10.2.1 Structural Motion -- 10.2.2 Orbital Motion -- 10.3 Stability -- 10.3.1 Coordinate System -- 10.3.2 Admissible Perturbations -- 10.3.3 Energy Criterion -- 10.4 Components -- 10.5 Example: Planar Binary with Near-Spherical, Rigid Members -- 10.6 Example: Rigid Binaries -- 10.6.1 Orbital Kinetic Energy -- 10.6.2 Structural Kinetic Energy -- 10.6.3 Perturbations -- 10.6.4 Stability -- 10.7 Example: Rubble-Pile Binaries -- 10.7.1 Orbital Kinetic Energy -- 10.7.2 Structural Kinetic Energy -- 10.7.3 Perturbations -- 10.7.4 Local Stability -- 10.7.5 Stability to Finite Structural Perturbations -- 10.8 Application: Near-Earth Binaries -- 10.8.1 216 Kleopatra. 10.8.2 25143 Itokawa -- 10.8.3 624 Hektor -- 10.8.4 90 Antiope -- 10.8.5 Stability to Finite Structural Perturbations -- 10.9 Summary -- References -- Dynamics -- 11 Formation -- 11.1 Introduction -- 11.2 Governing Equations -- 11.2.1 Non-dimensionalization -- 11.2.2 Components -- 11.3 Example: Prolate Asteroids -- 11.3.1 Switching States -- 11.3.2 Numerical Algorithm -- 11.3.3 Application: Equilibrium Shapes -- 11.3.4 Discussion: Dynamics of a Homogeneously Deforming Rigid---Plastic Ellipsoid -- 11.4 Summary -- References -- 12 Tidal Flybys -- 12.1 Introduction -- 12.2 Setup -- 12.3 Governing Equations -- 12.4 Material Behavior -- 12.4.1 A Kinetic Theory Based Model for Loose Granular Aggregates -- 12.4.2 Transition Criterion -- 12.5 Results -- 12.5.1 Outcomes with the Tensile Criterion -- 12.5.2 The Roche Limit -- 12.5.3 Further Analysis of Flybys -- 12.5.4 Outcomes with the Mohr-Coulomb Criterion -- 12.5.5 The Effect of Rotation Direction -- 12.5.6 Different Initial Rotation Rates -- 12.6 Summary -- References -- Appendix A Rate of Change of the Gravitational Shape Tensor -- Appendix B The Tidal Shape Tensor -- Appendix C Rate of Change of the Tidal Shape Tensor -- Index. 9783319404899 print version oai:cds.cern.ch:2283571 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4731349 ebook ebook XX SzGeCERN EBL201709 BOOK n 201736 201709 21 PUBLIC BOOK DELETED 2283549 SzGeCERN 20210421210402.0 9783319447100 print version 9783319447117 electronic version electronic version oai:cds.cern.ch:2283549 cerncds:BOOK EBL 4662668 eng HF4999.2-6182 004 Wohlgemuth, Volker Advances and new trends in environmental informatics stability, continuity, innovation Cham Springer 2016 355 p ebook Progress in IS Preface -- EnviroInfo 2016 Organizers -- Chairs -- Programme Committee -- Contents -- Design, Sustainability and ICT -- 1 Analysis of Product Lifecycle Data to Determine the Environmental Impact of the Apple iPhone -- Abstract -- 1 Sustainability, Environment and Design in the ICT Industry -- 2 Apple, iPhone and Report Data -- 2.1 Apple Environmental Politics and the iPhone -- 2.2 Environmental Reports-Product Lifecycle Data -- 3 Environmental Impact Analysis of the Apple iPhone -- 3.1 Course of Analysis -- 3.2 Greenhouse Gas Emissions -- 3.3 Possible Causes of the Shown Developments -- 4 Conclusion and Implications for Future Research -- References -- 2 Sustainable Software Design for Very Small Organizations -- Abstract -- 1 Motivation -- 2 Paper as the Most Important Information Carrier -- 3 Requirements of Sustainable Software Design for Very Small Organizations -- 3.1 Good Design Is Innovative -- 3.2 Good Design Makes a Product Useful -- 3.3 Good Design Is Aesthetic -- 3.4 Good Design Makes a Product Understandable -- 3.5 Good Design Is Unobtrusive -- 3.6 Good Design Is Honest -- 3.7 Good Design Is Long-Lasting -- 3.8 Good Design Is Thorough Down to the Last Detail -- 3.9 Good Design Is Environmentally Friendly -- 3.10 Good Design Is as Little Design as Possible -- 4 Conclusion and Outlook -- References -- Software Development Guidelines for Performance and Energy: Initial Case Studies -- 1 Introduction -- 2 Related Work -- 3 Background -- 4 Preparation -- 4.1 Development Guidelines -- 4.2 Platforms and Devices -- 4.3 Study Design and Systems -- 4.4 Measurement -- 5 Evaluation -- 5.1 Research Hypothesis -- 5.2 Results -- 5.3 Discussion -- 5.4 Threats to Validity -- 6 Conclusion -- References -- Green ICT Research and Challenges -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Discussion -- 5 Conclusion -- References. Some Aspects of Using Universal Design as a Redesign Strategy for Sustainability -- 1 Introduction -- 2 Background -- 2.1 Sustainability and Universal Design -- 2.2 Universal Design as a Redesign Strategy -- 3 Universal Design as a Redesign Process for Sustainability -- 3.1 Dimensions of Universal Design as a Radical Innovation Strategy -- 3.2 Innovation Life Cycle for Universal Design as Redesign Strategy -- 4 Design Principles -- 5 Conclusions -- References -- Disaster Management for Resilience and Public Safety -- 6 Development of Web Application for Disaster-Information Collection and Its Demonstration Experiment -- Abstract -- 1 Introduction -- 2 Previous Research -- 3 Real Time Synchronous Web Application -- 3.1 Overview of System -- 3.2 Structure of System -- 3.3 Usage of Web Application System -- 4 Performance of the System in Terms of Information Collection -- 5 Evaluation in Terms of Supporting Emergency Vehicles -- 6 Summary and Conclusions -- Acknowledgments -- References -- 7 Social Media Resilience During Infrastructure Breakdowns Using Mobile Ad-Hoc Networks -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 SOMAP 1.0: Social Offline Map Evaluation -- 4 SOMAP 2.0: Mobile Ad-Hoc Networks for Social Media -- 5 Discussion and Conclusion -- Acknowledgments -- References -- Collection and Integration of Multi-spatial and Multi-type Data for Vulnerability Analysis in Emergency Response Plans -- 1 Introduction -- 2 Related Work -- 3 Data Collection -- 3.1 Base Geographical Granularity -- 3.2 Data Sources and Data Format(s) -- 4 Data Integration -- 4.1 Consistency with Respect to Time -- 4.2 Consistency with Respect to Type of Data -- 4.3 Consistency with Respect to Geographical Granularity -- 5 Case Study -- 6 Conclusion -- References -- 9 EPISECC Common Information Space: Defining Data Ownership in Disaster Management -- Abstract. 1 Introduction -- 2 Defining Data Flows and Design Process in the EPISECC: Why Is It Important? -- 3 Information Inventory and a Data Mapping Exercise -- 4 Common Information Space: EPISECC Approach -- 5 Common Information Space and Its Objectives -- 5.1 Defining User Requirements for the CIS -- 5.2 Information Sharing -- 6 Conclusion -- Acknowledgments -- References -- Energy Systems -- 10 Integrating Social Acceptance of Electricity Grid Expansion into Energy System Modeling: A Methodological Approach for Germany -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Social Acceptance in Selected Districts -- 2.2 Integration into Energy System Modeling -- 3 Results -- 3.1 Acceptance and Delay in Selected Districts -- 3.2 Delay Assumptions for Germany and Scenario Development -- 4 Discussion and Conclusions -- Acknowledgments -- References -- Dynamic Portfolio Optimization for Distributed Energy Resources in Virtual Power Plants -- 1 Introduction -- 2 Optimization -- 2.1 Product Portfolio Optimization (PPO) -- 2.2 Operation Schedule Optimization (OSO) -- 3 Evaluation -- 3.1 Evaluation of the Inner Optimizers -- 3.2 Evaluation of the Outer Optimizers -- 4 Conclusion -- References -- Distributed Power Management of Renewable Energy Resources for Grid Stabilization -- 1 Introduction -- 2 Concept and Optimization Problem -- 3 Distributed Scheduling---the SAES Approach -- 4 Evaluation -- 4.1 Conduction -- 4.2 Results -- 5 Conclusion and Future Work -- References -- 13 Proposing an Hourly Dynamic Wind Signal as an Environmental Incentive for Demand Response -- Abstract -- 1 Introduction -- 1.1 Background -- 1.2 Demand Side Management and Demand Response -- 1.3 Previous Research -- 1.4 Environmental Incentives -- 1.5 Aim and Objectives -- 2 Methods -- 2.1 Construction of an Hourly Dynamic Wind Signal. 2.2 Correlation of Wind Power Generation and Electricity Spot Price -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Energy System Modelling-Barriers, Challenges and Good Practice in Open Source Approaches -- Wind Energy Scenarios for the Simulation of the German Power System Until 2050: The Effect of Social and Ecological Factors -- 1 Introduction -- 2 Methodology -- 2.1 Georeferenced Database -- 2.2 Determination of the White Area -- 2.3 Technical Potential of Installed Wind Power -- 2.4 Burden Level -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- AC Power Flow Simulations within an Open Data Model of a High Voltage Grid -- 1 Introduction -- 2 Methodology -- 2.1 The Oemof.powerflow App -- 2.2 Approach for the HV Grid Model of Schleswig-Holstein -- 2.3 Definition of Static Worst-Case Scenarios -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Sustainable Mobility -- Empirical Study of Using Renewable Energies in Innovative Car-Sharing Business Model ``in Tandem'' at the University of Hildesheim -- 1 Introduction -- 2 Innovative Electric Car-Sharing Business Model in ``Tandem'' -- 3 Renewable Energy Source for Charging Electric Vehicles -- 4 Empirical Analysis of Photovoltaic Powered Electric Car-Sharing Model ``in Tandem'' at University of Hildesheim -- 4.1 Photovoltaic Power Charging Station at the University of Hildesheim -- 4.2 Empirical Data -- 4.3 Analysis -- 5 Conclusion and Future Work -- References -- 17 Trends in Mobility: A Competitive Based Approach for Virtual Mobility Providers to Participate in Transportation Markets -- Abstract -- 1 Introduction -- 2 Mobility Trends and New Mobility Providers -- 2.1 Private Mobility Sector -- 2.2 Public Mobility Sector -- 3 Broker -- 3.1 Strengthen the Competition in Transport Services by Enhancing Access -- 3.2 Architecture of the Competition Module. 4 Conclusion -- Acknowledgments -- References -- Life Cycle Assessment -- 18 Regionalized LCI Modeling: A Framework for the Integration of Spatial Data in Life Cycle Assessment -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Framework for Regionalized LCI Modeling -- 2.2 Case Study of Rapeseed Cultivation -- 3 Results -- 4 Discussion -- 5 Conclusion -- Acknowledgments -- References -- Open Calculator for Environmental and Social Footprints of Rail Infrastructures -- 1 Introduction -- 2 Environmental and Social Impact of Railway Infrastructures -- 3 Methodology -- 3.1 Project Units Compilation -- 3.2 Multi-objective Evolutionary Algorithms (MOEA) -- 3.3 Indicator Evaluation -- 4 Results -- 5 Conclusions -- References -- Health Systems -- 20 A Computational Intelligence Approach to Diabetes Mellitus and Air Quality Levels in Thessaloniki, Greece -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Presentation -- 2.2 Methods Presentation -- 2.3 Model Formulation -- 3 Results and Discussion -- 3.1 Relationship Between AQ and DM -- 3.2 Modelling of GFR as a Categorical Parameter -- 3.3 Modelling of GFR as a Numerical Value -- 4 Conclusions -- 21 Aggregation and Measurement of Social Sustainability and Social Capital with a Focus on Human Health -- Abstract -- 1 Introduction and Motivation -- 2 Literature Review and Theoretical Discussion of Social Capital, Social Sustainability and Aggregation Approaches -- 3 Threshold Based Aggregation Method -- 4 Conclusion, Discussion and Outlook -- References -- Optimal Noise Filtering of Sensory Array Gaseous Air Pollution Measurements -- 1 Introduction -- 2 Materials and Methods -- 2.1 Optimal Filtering Window Size -- 2.2 Frequency Representation -- 2.3 Data -- 3 Results -- 4 Conclusion -- References -- Frameworks, Platforms, Portals -- 23 Generic Web Framework for Environmental Data Visualization. Abstract. EBL201709 XX SzGeCERN BOOK Fuchs-Kittowski, Frank Wittmann, Jochen https://cds.cern.ch/auth.py?r=EBLIB_P_4662668 ebook n 201736 201709 21 PUBLIC https://catalogue.library.cern/legacy/2283549 BOOK MIGRATED 2283527 SzGeCERN 20210421210405.0 9780113313754 oai:cds.cern.ch:2283527 cerncds:BOOK SAFARI 9780113313754 eng 004.0688 AXELOS Key element guide ITIL continual service improvement London The Stationery Office 2012 106 p ebook ITIL key element guide suite Key Element Guide ITIL® Continual Service Improvement -- Contents -- Acknowledgements -- 1 Introduction -- 1.1 The ITIL service lifecycle -- Figure 1.1 The ITIL service lifecycle -- 1.2 Continual service improvement - key element guide -- 1.2.1 Purpose and objectives of CSI -- 1.2.2 Scope -- 1.2.3 Value to business -- 1.3 Context -- 1.3.1 Service strategy -- 1.3.2 Service design -- 1.3.3 Service transition -- 1.3.4 Service operation -- 1.3.5 Continual service improvement -- 2 Service management as a practice -- 2.1 Services and service management -- 2.1.1 Services -- 2.1.2 Service management -- 2.1.3 IT service management -- 2.1.4 Service providers -- 2.1.5 Stakeholders in service management -- 2.1.6 Utility and warranty -- 2.1.7 Best practices in the public domain -- 2.2 Basic concepts -- 2.2.1 Assets, resources and capabilities -- Figure 2.1 Examples of capabilities and resources -- 2.2.2 Processes -- Figure 2.2 Process model -- 2.2.3 Organizing for service management -- 2.2.4 The service portfolio -- 2.2.5 Knowledge management and the SKMS -- Figure 2.3 The service portfolio and its contents -- 2.3 Governance and management systems -- 2.3.1 Governance -- 2.3.2 Management systems -- Figure 2.4 Plan-Do-Check-Act cycle -- 2.4 The service lifecycle -- 2.4.1 Specialization and coordination across the lifecycle -- 2.4.2 Processes through the service lifecycle -- Table 2.1 T he processes described in each core ITIL publication -- 3 Continual service improvement principles -- 3.1 Continual service improvement approach -- Figure 3.1 Continual service improvement approach -- 3.2 Return on investment and establishing the business case -- 3.3 CSI and organizational change -- 3.4 Ownership -- 3.5 CSI register -- 3.6 External and internal drivers -- 3.7 Assessments -- 3.8 Service level management and knowledge management -- 3.9 The Deming Cycle. 3.10 Service measurement -- 3.11 Frameworks, models, standards and quality systems -- 3.12 CSI inputs and outputs -- 4 Continual service improvement processes -- 4.1 The seven-step improvement process -- Figure 4.1 The seven-step improvement process -- 4.1.1 Purpose and objectives -- 4.1.2 Scope -- 4.1.3 Value to business -- 4.1.4 Policies, principles and basic concepts -- 4.1.5 Process activities, methods and techniques -- Figure 4.2 From vision to measurements -- 4.1.6 Triggers, inputs, outputs and interfaces -- 4.1.7 Critical success factors and key performance indicators -- 4.1.8 Challenges and risks -- 5 Organizing for continual service improvement -- 5.1 Functions -- 5.2 Roles -- 5.2.1 Generic service owner role -- 5.2.2 Generic process owner role -- 5.2.3 Generic process manager role -- 5.2.4 Generic process practitioner role -- 5.2.5 CSI manager -- 5.2.6 Seven-step improvement roles -- Figure 5.1 Activities and skill levels needed for continual service improvement -- Table 5.1 Skills involved in Step 1 - Identify the strategy for improvement -- Table 5.2 Skills involved in Step 2 - Define what you will measure -- Table 5.3 Skills involved in Step 3 - Gather the data -- Table 5.4 Skills involved in Step 4 - Process the data -- Table 5.5 Skills involved in Step 5 - Analyse the information and data -- Table 5.6 Skills involved in Step 6 - Present and use the information -- Table 5.7 Skills involved in Step 7 - Implement improvement -- 5.2.7 Business relationship manager -- Table 5.8 Comparison of CSI manager, service level manager, service owner and business relationship manager roles -- 6 Implementing continual service improvement -- 6.1 Critical considerations for implementing CSI -- 6.2 Where do I start? -- 6.2.1 Where do I start - the service approach -- 6.2.2 Where do I start - the lifecycle approach. 6.2.3 Where do I start - the functional group approach -- 6.3 Governance -- 6.3.1 Business drivers -- 6.4 CSI and organizational change -- Table 6.1 Eight steps that need to be implemented, and the main reasons why transformation efforts fail (from Kotter, 1996) -- 6.5 Communication strategy and plan -- 6.5.1 Defining a communication plan -- 6.5.2 Communication transformation -- Figure 6.1 Vision becomes blurred -- 6.6 Summary -- 7 Challenges, risks and critical success factors -- 7.1 Challenges -- 7.2 Risks -- 7.3 Critical success factors -- 8 Key messages and lessons -- 9 Related guidance -- 9.1 Riskassessment and management -- 9.2 ITIL guidance and web services -- 9.3 Quality management system -- 9.4 Governance of IT -- 9.5 COBIT -- 9.6 ISO/IEC 20000 service management series -- 9.7 Environmental management and green/sustainable IT -- 9.8 Programme and project management -- 9.9 Skills Framework for the Information Age -- 9.10 Carnegie Mellon: CMMI and eSCM framework -- 9.11 Balanced scorecard -- 9.12 Six Sigma. The 'Key Element Guide Continual Service Improvement' provides a handy reference to the content contained within the core ITIL Continual Service Improvement guidance and summarises its key elements. SAF202011 EBLlink deleted XX SzGeCERN BOOK Great Britain Cabinet Office https://learning.oreilly.com/library/view/-/9780113313754/?ar ebook n 201736 201709 21 PUBLIC https://catalogue.library.cern/legacy/2283527 BOOK MIGRATED 2283526 SzGeCERN 20210421210406.0 9780113313747 oai:cds.cern.ch:2283526 cerncds:BOOK SAFARI 9780113313747 eng 004.0688 AXELOS Key element guide ITIL service operation London The Stationery Office 2012 116 p ebook ITIL key element guide suite Key Element Guide ITIL® Service Operation -- Contents -- Acknowledgements -- 1 Introduction -- 1.1 The ITIL service lifecycle -- Figure 1.1 The ITIL service lifecycle -- 1.2 Service operation - key element guide -- 1.2.1 Purpose and objectives of service operation -- 1.2.2 Scope -- 1.2.3 Value to business -- 1.3 Context -- 1.3.1 Service strategy -- 1.3.2 Service design -- 1.3.3 Service transition -- 1.3.4 Service operation -- 1.3.5 Continual service improvement -- 2 Service management as a practice -- 2.1 Services and service management -- 2.1.1 Services -- 2.1.2 Service management -- 2.1.3 IT service management -- 2.1.4 Service providers -- 2.1.5 Stakeholders in service management -- 2.1.6 Utility and warranty -- 2.1.7 Best practices in the public domain -- 2.2 Basic concepts -- 2.2.1 Assets, resources and capabilities -- Figure 2.1 Examples of capabilities and resources -- 2.2.2 Processes -- Figure 2.2 Process model -- 2.2.3 Organizing for service management -- 2.2.4 The service portfolio -- 2.2.5 Knowledge management and the SKMS -- Figure 2.3 The service portfolio and its contents -- 2.3 Governance and management systems -- 2.3.1 Governance -- 2.3.2 Management systems -- Figure 2.4 Plan-Do-Check-Act cycle -- 2.4 The service lifecycle -- 2.4.1 Specialization and coordination across the lifecycle -- 2.4.2 Processes through the service lifecycle -- Table 2.1 T he processes described in each core ITIL publication -- 3 Service operation principles -- 3.1 Service operation fundamentals -- 3.1.1 Providing business value through service operation -- 3.2 Achieving balance in service operation -- 3.3 Providing good service -- 3.4 Operation staff involvement in other service lifecycle stages -- 3.5 Operational health -- 3.6 Communication -- 3.7 Documentation -- 3.8 Service operation inputs and outputs -- 4 Service operation processes. 4.1 Event management -- 4.1.1 Purpose and objectives -- 4.1.2 Scope -- 4.1.3 Value to business -- 4.1.4 Policies, principles and basic concepts -- 4.1.5 Process activities, methods and techniques -- Figure 4.1 The event management process -- 4.1.6 Triggers, inputs, outputs and interfaces -- 4.1.7 Critical success factors and key performance indicators -- 4.1.8 Challenges and risks -- 4.2 Incident management -- 4.2.1 Purpose and objectives -- 4.2.2 Scope -- 4.2.3 Value to business -- 4.2.4 Policies, principles and basic concepts -- 4.2.5 Process activities, methods and techniques -- Figure 4.2 Incident management process flow -- Figure 4.3 Example of an incident-matching procedure -- 4.2.6 Triggers, inputs, outputs and interfaces -- 4.2.7 Critical success factors and key performance indicators -- 4.2.8 Challenges and risks -- 4.3 Request fulfilment -- 4.3.1 Purpose and objectives -- 4.3.2 Scope -- 4.3.3 Value to business -- 4.3.4 Policies, principles and basic concepts -- 4.3.5 Process activities, methods and techniques -- Figure 4.4 The request fulfilment process -- 4.3.6 Triggers, inputs, outputs and interfaces -- 4.3.7 Critical success factors and key performance indicators -- 4.3.8 Challenges and risks -- 4.4 Problem management -- 4.4.1 Purpose and objectives -- 4.4.2 Scope -- 4.4.3 Value to business -- 4.4.4 Policies, principles and basic concepts -- 4.4.5 Process activities, methods and techniques -- Figure 4.5 The problem management process -- 4.4.6 Triggers, inputs, outputs and interfaces -- 4.4.7 Critical success factors and key performance indicators -- 4.4.8 Challenges and risks -- 4.5 Access management -- 4.5.1 Purpose and objectives -- 4.5.2 Scope -- 4.5.3 Value to business -- 4.5.4 Policies, principles and basic concepts -- 4.5.5 Process activities, methods and techniques -- Figure 4.6 Access management process. 4.5.6 Triggers, inputs, outputs and interfaces -- 4.5.7 Critical success factors and key performance indicators -- 4.5.8 Challenges and risks -- 5 Organizing for service operation -- 5.1 Functions -- 5.1.1 Service desk function -- 5.1.2 Technical management function -- 5.1.3 IT operations function -- 5.1.4 Application management function -- Figure 5.1 Application management lifecycle -- 5.2 Roles -- 5.2.1 Generic service owner role -- 5.2.2 Generic process owner role -- 5.2.3 Generic process manager role -- 5.2.4 Generic process practitioner role -- 5.2.5 Event management roles -- 5.2.6 Incident management roles -- 5.2.7 Request fulfilment roles -- 5.2.8 Problem management roles -- 5.2.9 Access management roles -- 6 Implementing service operation -- 6.1 Managing change in service operation -- 6.2 Service operation and project management -- 6.3 Assessing and managing risk in service operation -- 6.4 Operational staff in service design and transition -- 6.5 Planning and implementing service management technologies -- 7 Challenges, risks and critical success factors -- 7.1 Challenges -- 7.2 Risks -- 7.3 Critical success factors -- 8 Key messages and lessons -- 9 Related guidance -- 9.1 Risk assessment and management -- 9.2 ITIL guidance and web services -- 9.3 Quality management system -- 9.4 Governance of IT -- 9.5 COBIT -- 9.6 ISO/IEC 20000 service management series -- 9.7 Environmental management and green/sustainable IT -- 9.8 Programme and project management -- 9.9 Skills Framework for the Information Age -- 9.10 Carnegie Mellon: CMMI and eSCM framework -- 9.11 Balanced scorecard -- 9.12 Six Sigma. The 'Key Element Guide ITIL Service Operation' provides a handy reference to the content contained within the core ITIL Service Operation guidance and summarises its key elements. SAF202011 EBLlink deleted XX SzGeCERN BOOK Great Britain Cabinet Office https://learning.oreilly.com/library/view/-/9780113313747/?ar ebook n 201736 201709 21 PUBLIC https://catalogue.library.cern/legacy/2283526 BOOK MIGRATED 2283525 SzGeCERN 20210421210406.0 9780113313624 print version 9780113313730 electronic version electronic version oai:cds.cern.ch:2283525 cerncds:BOOK EBL 4568784 eng 004.0688 AXELOS Key element guide ITIL service transition London The Stationery Office 2012 110 p ebook ITIL key element guide suite Key Element Guide ITIL® Service Transition -- Contents -- Acknowledgements -- 1 Introduction -- 1.1 THE ITIL SERVICE LIFECYCLE -- Figure 1.1 The ITIL service lifecycle -- 1.2 SERVICE TRANSITION - KEY ELEMENT GUIDE -- 1.2.1 Purpose and objectives of service transition -- 1.2.2 Scope -- 1.2.3 Value to business -- 1.3 CONTEXT -- 1.3.1 Service strategy -- 1.3.2 Service design -- 1.3.3 Service transition -- 1.3.4 Service operation -- 1.3.5 Continual service improvement -- 2 Service management as a practice -- 2.1 SERVICES AND SERVICE MANAGEMENT -- 2.1.1 Services -- 2.1.2 Service management -- 2.1.3 IT service management -- 2.1.4 Service providers -- 2.1.5 Stakeholders in service management -- 2.1.6 Utility and warranty -- 2.1.7 Best practices in the public domain -- 2.2 BASIC CONCEPTS -- 2.2.1 Assets, resources and capabilities -- 2.2.2 Processes -- Figure 2.1 Examples of capabilities and resources -- Figure 2.2 Process model -- 2.2.3 Organizing for service management -- 2.2.4 The service portfolio -- Figure 2.3 The service portfolio and its contents -- 2.2.5 Knowledge management and the SKMS -- 2.3 GOVERNANCE AND MANAGEMENT SYSTEMS -- 2.3.1 Governance -- 2.3.2 Management systems -- Figure 2.4 Plan-Do-Check-Act cycle -- 2.4 THE SERVICE LIFECYCLE -- 2.4.1 Specialization and coordination across the lifecycle -- 2.4.2 Processes through the service lifecycle -- Table 2.1 The processes described in each core ITIL publication -- 3 Service transition principles -- 3.1 POLICIES FOR SERVICE TRANSITION -- 3.2 OPTIMIZING SERVICE TRANSITION PERFORMANCE -- 3.3 MANAGING PEOPLE THROUGH SERVICE TRANSITIONS -- 3.3.1 Communications -- 3.3.2 Managing organizational and stakeholder change -- 3.4 SERVICE TRANSITION INPUTS AND OUTPUTS -- 4 Service transition processes -- 4.1 TRANSITION PLANNING AND SUPPORT -- 4.1.1 Purpose and objectives -- 4.1.2 Scope. 4.1.3 Value to business -- 4.1.4 Policies, principles and basic concepts -- 4.1.5 Process activities, methods and techniques -- 4.1.6 Triggers, inputs, outputs and interfaces -- 4.1.7 Critical success factors and key performance indicators -- 4.1.8 Challenges and risks -- 4.2 CHANGE MANAGEMENT -- 4.2.1 Purpose and objectives -- 4.2.2 Scope -- 4.2.3 Value to business -- 4.2.4 Policies, principles and basic concepts -- 4.2.5 Process activities, methods and techniques -- Figure 4.1 Example of a process flow for a normal change -- 4.2.6 Triggers, inputs, outputs and interfaces -- 4.2.7 Critical success factors and key performance indicators -- 4.2.8 Challenges and risks -- 4.3 SERVICE ASSET AND CONFIGURATION MANAGEMENT -- 4.3.1 Purpose and objectives -- 4.3.2 Scope -- 4.3.3 Value to business -- 4.3.4 Policies, principles and basic concepts -- Figure 4.2 Typical SACM activity model -- 4.3.5 Process activities, methods and techniques -- 4.3.6 Triggers, inputs, outputs and interfaces -- 4.3.7 Critical success factors and key performance indicators -- 4.3.8 Challenges and risks -- 4.4 RELEASE AND DEPLOYMENT MANAGEMENT -- 4.4.1 Purpose and objectives -- 4.4.2 Scope -- 4.4.3 Value to business -- 4.4.4 Policies, principles and basic concepts -- 4.4.5 Process activities, methods and techniques -- Figure 4.3 Phases of release and deployment management -- 4.4.6 Triggers, inputs, outputs and interfaces -- 4.4.7 Critical success factors and key performance indicators -- 4.4.8 Challenges and risks -- 4.5 SERVICE VALIDATION AND TESTING -- 4.5.1 Purpose and objectives -- 4.5.2 Scope -- 4.5.3 Value to business -- 4.5.4 Policies, principles and basic concepts -- 4.5.5 Process activities, methods and techniques -- Figure 4.4 Example of a validation and testing process -- 4.5.6 Triggers, inputs, outputs and interfaces. 4.5.7 Critical success factors and key performance indicators -- 4.5.8 Challenges and risks -- 4.6 CHANGE EVALUATION -- 4.6.1 Purpose and objectives -- 4.6.2 Scope -- 4.6.3 Value to business -- 4.6.4 Policies, principles and basic concepts -- 4.6.5 Process activities, methods and techniques -- Figure 4.5 Change evaluation process flow -- 4.6.6 Triggers, inputs, outputs and interfaces -- 4.6.7 Critical success factors and key performance indicators -- 4.6.8 Challenges and risks -- 4.7 KNOWLEDGE MANAGEMENT -- 4.7.1 Purpose and objectives -- 4.7.2 Scope -- 4.7.3 Value to business -- 4.7.4 Policies, principles and basic concepts -- Figure 4.6 Relationship of the CMDB, the CMS and the SKMS -- 4.7.5 Process activities, methods and techniques -- 4.7.6 Triggers, inputs, outputs and interfaces -- 4.7.7 Critical success factors and key performance indicators -- 4.7.8 Challenges and risks -- 5 Organizing for service transition -- 5.1 FUNCTIONS -- 5.2 ROLES -- 5.2.1 Generic service owner role -- 5.2.2 Generic process owner role -- 5.2.3 Generic process manager role -- 5.2.4 Generic process practitioner role -- 5.2.5 Transition planning and support roles -- 5.2.6 Change management roles -- 5.2.7 Service asset and configuration management roles -- 5.2.8 Release and deployment management roles -- 5.2.9 Service validation and testing roles -- 5.2.10 Change evaluation roles -- 5.2.11 Knowledge management roles -- 6 Implementing service transition -- 6.1 IMPLEMENTING SERVICE TRANSITION IN A VIRTUAL OR CLOUD ENVIRONMENT -- 7 Challenges, risks and critical success factors -- 7.1 CHALLENGES -- 7.2 RISKS -- 7.3 CRITICAL SUCCESS FACTORS -- 8 Key messages and lessons -- 9 Related guidance -- 9.1 RISK ASSESSMENT AND MANAGEMENT -- 9.2 ITIL GUIDANCE AND WEB SERVICES -- 9.3 QUALITY MANAGEMENT SYSTEM -- 9.4 GOVERNANCE OF IT -- 9.5 COBIT. 9.6 ISO/IEC 20000 SERVICE MANAGEMENT SERIES -- 9.7 ENVIRONMENTAL MANAGEMENT AND GREEN/SUSTAINABLE IT -- 9.8 PROGRAMME AND PROJECT MANAGEMENT -- 9.9 SKILLS FRAMEWORK FOR THE INFORMATION AGE -- 9.10 CARNEGIE MELLON: CMMI AND ESCM FRAMEWORK -- 9.11 BALANCED SCORECARD -- 9.12 SIX SIGMA. The 'Key Element Guide ITIL Service Transition' provides a handy reference to the content contained within the core ITIL Service Transition guidance and summarises its key elements. EBL201709 SzGeCERN XX BOOK Great Britain Cabinet Office https://cds.cern.ch/auth.py?r=EBLIB_P_4568784 ebook 201709 n 201736 21 PUBLIC https://catalogue.library.cern/legacy/2283525 BOOK MIGRATED 2283524 SzGeCERN 20210421210406.0 9780113313723 oai:cds.cern.ch:2283524 cerncds:BOOK SAFARI 9780113313723 eng 004.0688 AXELOS Key element guide ITIL service design London The Stationery Office 2012 134 p ebook ITIL key element guide suite Key Element Guide ITIL® Service Design -- Contents -- Acknowledgements -- 1 Introduction -- 1.1 The ITIL service lifecycle -- Figure 1.1 The ITIL service lifecycle -- 1.2 Service design - key element guide -- 1.2.1 Purpose and objectives of service design -- 1.2.2 Scope -- 1.2.3 Value to business -- 1.3 Context -- 1.3.1 Service strategy -- 1.3.2 Service design -- 1.3.3 Service transition -- 1.3.4 Service operation -- 1.3.5 Continual service improvement -- 2 Service management as a practice -- 2.1 Services and service management -- 2.1.1 Services -- 2.1.2 Service management -- 2.1.3 IT service management -- 2.1.4 Service providers -- 2.1.5 Stakeholders in service management -- 2.1.6 Utility and warranty -- 2.1.7 Best practices in the public domain -- 2.2 Basic concepts -- 2.2.1 Assets, resources and capabilities -- Figure 2.1 Examples of capabilities and resources -- 2.2.2 Processes -- Figure 2.2 Process model -- 2.2.3 Organizing for service management -- 2.2.4 The service portfolio -- Figure 2.3 The service portfolio and its contents -- 2.2.5 Knowledge management and the SKMS -- 2.3 Governance and management systems -- 2.3.1 Governance -- 2.3.2 M anagement systems -- Figure 2.4 Plan-Do-Check-Act cycle -- 2.4 The service lifecycle -- 2.4.1 Specialization and coordination across the lifecycle -- 2.4.2 Processes through the service lifecycle -- Table 2.1 The processes described in each core ITIL publication -- 3 Service design principles -- 3.1 Service design basics -- 3.1.1 IT service design and overall business change -- Figure 3.1 The business change process -- 3.1.2 Service design scope and flow -- 3.1.3 Comprehensive and integrated service designs -- Figure 3.2 The four Ps of service design -- 3.2 Service design goals -- 3.3 Balanced design -- 3.4 Identifying service requirements. 3.5 Identifying and documenting business requirements and drivers -- 3.6 Design activities -- 3.7 Design aspects -- 3.7.1 Designing service solutions -- 3.7.2 Designing management information systems and tools -- 3.7.3 Designing technology architectures and management architectures -- 3.7.4 Designing processes -- Figure 3.3 Architectural relationships -- 3.7.5 Designing measurement methods and metrics -- 3.8 The subsequent design activities -- 3.9 Design constraints -- Figure 3.4 Design constraints driven by strategy -- 3.10 Service design models -- Table 3.1 Main sourcing structures (delivery strategies) -- 3.11 Service design inputs and outputs -- 4 Service design processes -- 4.1 Design coordination -- 4.1.1 Purpose and objectives -- 4.1.2 Scope -- 4.1.3 Value to business -- 4.1.4 Policies, principles and basic concepts -- 4.1.5 Process activities, methods and techniques -- 4.1.6 T riggers, inputs, outputs and interfaces -- 4.1.7 Critical success factors and key performance indicators -- 4.1.8 Challenges and risks -- 4.2 Service catalogue management -- 4.2.1 Purpose and objectives -- 4.2.2 Scope -- 4.2.3 Value to business -- 4.2.4 Policies, principles and basic concepts -- 4.2.5 Process activities, methods and techniques -- 4.2.6 T riggers, inputs, outputs and interfaces -- 4.2.7 Critical success factors and key performance indicators -- 4.2.8 Challenges and risks -- 4.3 Service level management -- 4.3.1 Purpose and objectives -- 4.3.2 Scope -- 4.3.3 Value to business -- 4.3.4 Policies, principles and basic concepts -- 4.3.5 Process activities, methods and techniques -- 4.3.6 Triggers, inputs, outputs and interfaces -- 4.3.7 Critical success factors and key performance indicators -- 4.3.8 Challenges and risks -- 4.4 Availability management -- 4.4.1 Purpose and objectives -- 4.4.2 Scope -- 4.4.3 Value to business. 4.4.4 Policies, principles and basic concepts -- 4.4.5 Process activities, methods and techniques -- Figure 4.1 The availability management process -- Figure 4.2 The expanded incident lifecycle -- 4.4.6 Triggers, inputs, outputs and interfaces -- 4.4.7 Critical success factors and key performance indicators -- 4.4.8 Challenges and risks -- 4.5 Capacity management -- 4.5.1 Purpose and objectives -- 4.5.2 Scope -- 4.5.3 Value to business -- 4.5.4 Policies, principles and basic concepts -- 4.5.5 Process activities, methods and techniques -- Figure 4.3 Capacity management overview with sub-processes -- Figure 4.4 Ongoing iterative activities of capacity management -- 4.5.6 Triggers, inputs, outputs and interfaces -- 4.5.7 Critical success factors and key performance indicators -- 4.5.8 Challenges and risks -- 4.6 IT service continuity management -- 4.6.1 Purpose and objectives -- 4.6.2 Scope -- 4.6.3 Value to business -- 4.6.4 Policies, principles and basic concepts -- 4.6.5 Process activities, methods and techniques -- Figure 4.5 Lifecycle of IT service continuity management -- 4.6.6 Triggers, inputs, outputs and interfaces -- 4.6.7 Critical success factors and key performance indicators -- 4.6.8 Challenges and risks -- 4.7 Information security management -- 4.7.1 Purpose and objectives -- 4.7.2 Scope -- 4.7.3 Value to business -- 4.7.4 Policies, principles and basic concepts -- Figure 4.6 Elements of an ISMS for managing IT security -- 4.7.5 Process activities, methods and techniques -- Figure 4.7 Security controls for threats and incidents -- 4.7.6 Triggers, inputs, outputs and interfaces -- 4.7.7 Critical success factors and key performance indicators -- 4.7.8 Challenges and risks -- 4.8 Supplier management -- 4.8.1 Purpose and objectives -- 4.8.2 Scope -- 4.8.3 Value to business -- 4.8.4 Policies, principles and basic concepts. 4.8.5 Process activities, methods and techniques -- Figure 4.8 Supplier management process -- Figure 4.9 Supplier categorization -- 4.8.6 Triggers, inputs, outputs and interfaces -- 4.8.7 Critical success factors and key performance indicators -- 4.8.8 Challenges and risks -- 5 Organizing for service design -- 5.1 Functions -- 5.1.1 Alignment with application development -- 5.1.2 Alignment with project management -- 5.2 Roles -- 5.2.1 Generic service owner role -- 5.2.2 Generic process owner role -- 5.2.3 Generic process manager role -- 5.2.4 Generic process practitioner role -- 5.2.5 Design coordination roles -- 5.2.6 Service catalogue management roles -- 5.2.7 Service level management roles -- 5.2.8 Availability management roles -- 5.2.9 Capacity management roles -- 5.2.10 IT service continuity management roles -- 5.2.11 Information security management roles -- 5.2.12 Supplier management roles -- 5.2.13 Other service design roles -- 6 Implementing service design -- 6.1 Risks to the services and processes -- 6.2 Implementing service design -- 6.2.1 Where do we start? -- 6.2.2 How do we improve? -- Figure 6.1 Implementation/continual service improvement approach -- 6.3 Measurement of service design -- 7 Challenges, risks and critical success factors -- 7.1 Challenges -- 7.2 Risks -- 7.3 Critical success factors -- 8 Key messages and lessons -- 9 Related guidance -- 9.1 Risk assessment and management -- 9.2 ITIL guidance and web services -- 9.3 Quality management system -- 9.4 Governance of IT -- 9.5 COBIT -- 9.6 ISO/IEC 20000 service management series -- 9.7 Environmental management and green/sustainable IT -- 9.8 Programme and project management -- 9.9 Skills Framework for the Information Age -- 9.10 Carnegie Mellon: CMMI and eSCM framework -- 9.11 Balanced scorecard -- 9.12 Six Sigma. The 'Key Element Guide ITIL Service Design' provides a handy reference to the content contained within the core ITIL Service Design guidance and summarises its key elements. SAF202011 EBLlink deleted XX SzGeCERN BOOK Great Britain Cabinet Office https://learning.oreilly.com/library/view/-/9780113313723/?ar ebook n 201736 201709 21 PUBLIC https://catalogue.library.cern/legacy/2283524 BOOK MIGRATED 2283523 SzGeCERN 20210421210406.0 9780113313716 oai:cds.cern.ch:2283523 cerncds:BOOK SAFARI 9780113313716 eng 004.0688 AXELOS Key element guide ITIL service strategy London The Stationery Office 2012 172 p ebook ITIL key element guide suite Key Element Guide ITIL® Service Strategy -- Contents -- Acknowledgements -- 1 Introduction -- 1.1 The ITIL service lifecycle -- Figure 1.1 The ITIL service lifecycle -- 1.2 Service strategy - key element guide -- 1.2.1 Purpose and objectives of service strategy -- 1.2.2 Scope -- 1.2.3 Value to business -- 1.3 Context -- 1.3.1 Service strategy -- 1.3.2 Service design -- 1.3.3 Service transition -- 1.3.4 Service operation -- 1.3.5 Continual service improvement -- 2 Service management as a practice -- 2.1 Services and service management -- 2.1.1 Services -- 2.1.2 Service management -- 2.1.3 IT service management -- 2.1.4 Service providers -- 2.1.5 Stakeholders in service management -- 2.1.6 Utility and warranty -- 2.1.7 Best practices in the public domain -- 2.2 Basic concepts -- 2.2.1 Assets, resources and capabilities -- Figure 2.1 Examples of capabilities and resources -- 2.2.2 Processes -- Figure 2.2 Process model -- 2.2.3 Organizing for service management -- 2.2.4 The service portfolio -- Figure 2.3 The service portfolio and its contents -- 2.2.5 Knowledge management and the SKMS -- 2.3 Governance and management systems -- 2.3.1 Governance -- 2.3.2 Management systems -- Figure 2.4 Plan-Do-Check-Act cycle -- 2.4 The service lifecycle -- 2.4.1 Specialization and coordination across the lifecycle -- 2.4.2 Processes through the service lifecycle -- Table 2.1 The processes described in each core ITIL publication -- 3 Service strategy principles -- 3.1 Strategy -- 3.1.1 Fundamental aspects of strategy -- 3.1.2 The four Ps of strategy -- Figure 3.1 Perspective, positions, plans and patterns -- 3.2 Customers and services -- 3.2.1 Customers -- Table 3.1 Differences between internal and external customers -- 3.2.2 Services -- Table 3.2 Differences between services and manufactured products -- Figure 3.2 Internal and external services. Table 3.3 Types of IT service -- 3.2.3 Value -- Figure 3.3 Money spent, value added and value realized -- 3.2.4 Utility and warranty -- Figure 3.4 Combined effects of utility and warranty on customer assets -- 3.2.5 Customer assets, service assets and strategic assets -- Figure 3.5 How a service provider enables a business unit's outcomes -- Figure 3.6 Growing service management into a trusted strategic asset -- 3.3 Service providers -- 3.3.1 Type I (internal service provider) -- 3.3.2 Type II (shared services unit) -- 3.3.3 Type III (external service provider) -- 3.3.4 How do customers choose between types? -- Table 3.4 Customer decisions on service provider types -- 3.4 How to define services -- 3.4.1 Step 1 - Define the market and identify customers -- 3.4.2 Step 2 - Understand the customer -- 3.4.3 Step 3 - Quantify the outcomes -- 3.4.4 Step 4 - Classify and visualize the service -- 3.4.5 Step 5 - Understand the opportunities (market spaces) -- 3.4.6 Step 6 - Define services based on outcomes -- 3.4.7 Step 7 - Service models -- 3.4.8 Step 8 - Define service units and packages -- 3.5 Strategies for customer satisfaction -- Figure 3.7 Perceptions of utility and customer satisfaction -- 3.6 Service economics -- Figure 3.8 Service economic dynamics for internal service providers -- 3.6.1 Return on investment -- 3.6.2 Business impact analysis -- 3.7 Sourcing strategy -- 3.7.1 Deciding what to source -- 3.7.2 Sourcing structures -- 3.7.3 Multi-vendor sourcing -- Table 3.5 Main sourcing structures (delivery strategies) -- 3.7.4 Service provider interfaces -- 3.8 Service structures in the value network -- 3.9 Governance -- 3.10 The service management system -- 3.11 IT service strategy and enterprise architecture -- 3.12 Application development -- 3.13 Service strategy inputs and outputs -- 4 Service strategy processes. 4.1 Strategy management for IT services -- 4.1.1 Purpose and objectives -- 4.1.2 Scope -- Figure 4.1 Enterprise strategy and the strategy of business units -- 4.1.3 Value to business -- 4.1.4 Policies, principles and basic concepts -- 4.1.5 Process activities, methods and techniques -- Figure 4.2 The strategy management process -- 4.1.6 Triggers, inputs, outputs and interfaces -- 4.1.7 Critical success factors and key performance indicators -- 4.1.8 Challenges and risks -- 4.2 Service portfolio management -- 4.2.1 Purpose and objectives -- 4.2.2 Scope -- 4.2.3 Value to business -- 4.2.4 Policies, principles and basic concepts -- Figure 4.3 The service portfolio -- 4.2.5 Process activities, methods and techniques -- Figure 4.4 Phases of service portfolio management -- 4.2.6 Triggers, inputs, outputs and interfaces -- 4.2.7 Critical success factors and key performance indicators -- 4.2.8 Challenges and risks -- 4.3 Financial management for IT services -- 4.3.1 Purpose and objectives -- 4.3.2 Scope -- 4.3.3 Value to business -- 4.3.4 Policies, principles and basic concepts -- 4.3.5 Process activities, methods and techniques -- Figure 4.5 Major inputs, outputs and activities of financial management for IT services -- 4.3.6 Triggers, inputs, outputs and interfaces -- 4.3.7 Critical success factors and key performance indicators -- 4.3.8 Challenges and risks -- 4.4 Demand management -- 4.4.1 Purpose and objectives -- 4.4.2 Scope -- 4.4.3 Value to business -- 4.4.4 Policies, principles and basic concepts -- 4.4.5 Process activities, methods and techniques -- 4.4.6 Triggers, inputs, outputs and interfaces -- 4.4.7 Critical success factors and key performance indicators -- 4.4.8 Challenges and risks -- 4.5 Business relationship management -- 4.5.1 Purpose and objectives -- 4.5.2 Scope -- 4.5.3 Value to business -- 4.5.4 Policies, principles and basic concepts. 4.5.5 Process activities, methods and techniques -- 4.5.6 Triggers, inputs, outputs and interfaces -- 4.5.7 Critical success factors and key performance indicators -- 4.5.8 Challenges and risks -- 5 Organizing for service strategy -- 5.1 Functions -- 5.2 Roles -- 5.2.1 Generic service owner role -- 5.2.2 Generic process owner role -- 5.2.3 Generic process manager role -- 5.2.4 Generic process practitioner role -- 5.2.5 Strategy management for IT services roles -- 5.2.6 Service portfolio management roles -- 5.2.7 Financial management for IT services roles -- 5.2.8 Demand management roles -- 5.2.9 Business relationship management roles -- 5.2.10 Sourcing roles -- 6 Implementing service strategy -- 6.1 Implementation through the lifecycle -- 6.2 Service strategy implementation activities following a lifecycle approach -- 6.2.1 Setting the implementation strategy -- 6.2.2 Designing service strategy -- 6.2.3 Transitioning service strategy -- 6.2.4 Operating service strategy -- 6.2.5 Continual improvement of service strategy -- 6.3 The impact of service strategy on other lifecycle stages -- 6.3.1 Service strategy and service design -- 6.3.2 Service strategy and service transition -- 6.3.3 Service strategy and service opera -- 6.3.4 Service strategy and continual service improvement -- 7 Challenges, risks and critical success factors -- 7.1 Chalenges -- 7.2 Risks -- 7.3 Critical success factors -- 8 Key messages and lessons -- 9 Related guidance -- 9.1 Risk assessment and management -- 9.2 ITIL guidance and web services -- 9.3 Quality management system -- 9.4 Governance of IT -- 9.5 COBIT -- 9.6 ISO/IEC 20000 service management series -- 9.7 Environmental management and green /sustainable IT -- 9.8 Programme and project management -- 9.9 Skills Framework for the Information Age -- 9.10 Carnegie Mellon: CMMI and eSCM framework -- 9.11 Balanced scorecard. 9.12 Six Sigma. The 'Key Element Guide Service Strategy' provides a handy reference to the content contained within the core 'ITIL Service Strategy' guidance and summarises its key elements. SAF202011 EBLlink deleted XX SzGeCERN BOOK Great Britain Cabinet Office https://learning.oreilly.com/library/view/-/9780113313716/?ar ebook n 201736 201709 21 PUBLIC https://catalogue.library.cern/legacy/2283523 BOOK MIGRATED 2283504 SzGeCERN 20210421210410.0 9783319307992 print version 9783319308005 electronic version electronic version oai:cds.cern.ch:2283504 cerncds:BOOK EBL 4526861 eng HF4999.2-6182 519.6 Özmen, Ayşe Robust optimization of spline models and complex regulatory networks theory, methods and applications Cham Springer 2016 143 p ebook Contributions to management science Contents -- Acronyms -- 1 Introduction -- 1.1 Purpose of the Study -- 1.2 The Significance of Uncertainty -- 1.3 Robust Optimization -- 1.4 Complex Multi-Modal Regulatory Networks -- 1.5 Scope of the Book -- 2 Mathematical Methods Used -- 2.1 Optimization -- 2.1.1 Robust Optimization -- 2.1.2 Conic Optimization -- 2.1.2.1 Conic Quadratic Programming -- 2.1.2.2 Interior Point Methods -- 2.1.3 Robust Conic Optimization -- 2.1.4 Multi-Objective Optimization -- 2.1.5 Optimization Softwares -- 2.2 Dynamical System of Complex Multi-Modal RegulatoryNetworks -- 2.2.1 Time-Continuous Regulatory Networks -- 2.2.2 Time-Discrete Regulatory Networks -- 2.3 Inverse Problems and Parameter Estimation -- 2.3.1 Least-Squares Estimation -- 2.3.2 Regression and Classification -- 2.3.2.1 Logit Regression Models -- 2.3.2.2 Nonlinear Regression Models -- 2.3.2.3 Generalized Partial Linear Models -- 2.3.2.4 Nonparametric Regression -- 2.3.3 Multivariate Adaptive Regression Splines -- 2.3.4 Tikhonov Regularization -- 3 New Robust Analytic Tools -- 3.1 Robust (Conic) Multivariate Adaptive Regression Splines -- 3.1.1 Introduction -- 3.1.2 The Procedure -- 3.1.3 Polyhedral Uncertainty and Robust Counterparts -- 3.1.4 Robust Conic Quadratic Programming with Polyhedral Uncertainty -- 3.1.5 Numerical Experience with RMARS in the Financial Economics -- 3.1.6 Simulation Study for RMARS -- 3.2 Robust (Conic) Generalized Partial Linear Models -- 3.2.1 Introduction -- 3.2.2 General Description of (C)GPLM -- 3.2.3 Robustification of (C)GPLM -- 3.2.4 Linear (Logit) Regression Model for the Linear Part -- 3.2.5 R(C)MARS Method for the Nonlinear Part -- 3.2.6 R(C)GPLM with Polyhedral Uncertainty -- 3.2.6.1 Robust Counterpart for Linear Part -- 3.2.6.2 Robust Counterpart for Nonlinear Part -- 4 Spline Regression Models for Complex Multi-Model Regulatory Networks. 4.1 Regression Problem for Regulatory Network with Spline Entries -- 4.1.1 Introduction -- 4.1.2 The Dynamical Procedure -- 4.2 Numerical Experience on a Complex Multi-Model Regulatory Networks -- 4.2.1 Data Description -- 4.2.2 MARS Models -- 4.2.3 CMARS Models -- 4.2.4 Results and Comparison -- 4.3 Simulation Study -- 5 Robust Optimization in Spline Regression Models for Regulatory Networks Under Polyhedral Uncertainty -- 5.1 Robustification of Regression for Regulatory Networks -- 5.1.1 Polyhedral Uncertainty and Robust Counterpart for Regulatory Networks -- 5.1.2 Robust Conic Quadratic Programming with Polyhedral Uncertainty -- 5.2 Numerical Experience -- 5.2.1 Developing RCMARS Models for Regulatory Networks -- 5.2.2 Results -- 5.2.3 Simulation Study and Comparison -- 6 Real-World Application with Our Robust Tools -- 6.1 A Real-World Application of RCMARS in the Financial Sector -- 6.1.1 Introduction -- 6.1.2 Data Description -- 6.1.3 Obtaining Large Model from MARS Program -- 6.1.4 Bootstraping -- 6.1.5 Evaluating Accuracy and Complexity of PRSS Form -- 6.1.6 Calculating Uncertainty Values for Input and Output Data under Polyhedral Uncertainty -- 6.1.7 Receiving Weak RCMARS Models Using Combinatorial Approach -- 6.1.8 Sensitivity to the Changes in the Confidence Interval Limits of RCMARS -- 6.1.9 Results and Discussion -- 6.2 A Real-World Application of RCMARS in the Energy Sector -- 6.2.1 Dynamic Regression Approach -- 6.2.2 CMARS -- 6.2.3 RCMARS -- 6.2.4 Results and Comparison -- 6.3 A Real-World Application of RCMARS in the Environmental Sector -- 6.3.1 Introduction -- 6.3.2 Dataset and Its Preprocessing -- 6.3.3 Criteria and Measures Used in Performance Evaluations -- 6.3.4 Developing Precipitation Models -- 6.3.5 Results and Discussion -- 6.4 A Real-World Application with RCGPLM in the Financial Sector -- 6.4.1 Introduction -- 6.4.2 Data. 6.4.3 Application -- 6.4.4 Application of the Model on the Testing Sample -- 6.4.5 Results and Comparison -- 7 Conclusion and Outlook -- A Coefficients and Performance of MARS-CMARS Models for TE Networks -- B Performance of R(C)MARS Models for TE Networks -- C Sensitivity and Performance of MARS for Forecasting of Precipitation -- D Prediction Performance Criteria and Related Measures -- References. EBL201709 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4526861 ebook n 201736 201709 21 PUBLIC https://catalogue.library.cern/legacy/2283504 BOOK MIGRATED 2283496 SzGeCERN 20180612223805.0 9784431559122 (electronic bk.) electronic version 9784431559108 electronic version EBL 4459493 eng GB3-5030 621.04 Tamura, Yukio Advanced environmental wind engineering Tokyo Springer 2016 200 p Preface -- Contents -- Chapter 1: Design Procedures for Natural Ventilation -- 1.1 Introduction -- 1.1.1 Overall Design Process -- 1.2 Feasibility of Natural Ventilation -- 1.2.1 Climate -- 1.2.2 Occupants -- 1.2.3 Building Shape and Environment -- 1.2.4 Building Plan and Layout -- 1.2.5 Building Envelope -- 1.2.6 Internal Heat Gains -- 1.2.7 Thermal Storage (Night Cooling) -- 1.2.8 Control -- 1.3 Ventilation Strategies -- 1.3.1 Isolated Spaces -- 1.3.2 Connected Spaces: Single-Cell Building -- 1.3.3 Connected Spaces: Multicell Building -- 1.4 Mechanisms: Physical Descriptions -- 1.4.1 Buoyancy Alone (No Wind) -- 1.4.2 Wind Alone (Uniform Density) -- 1.4.3 Wind and Buoyancy Combined -- 1.4.4 Flow Through Openings -- 1.4.4.1 Types of Opening -- 1.4.4.2 Flow Characteristics -- 1.4.5 Mathematical Models -- 1.5 Initial Design Process: Size and Position of Openings -- 1.5.1 Design Conditions -- 1.5.1.1 Winter (Heating Season) -- 1.5.1.2 Summer (Cooling Season) -- 1.6 Later Design Process -- 1.6.1 Scale Modelling -- 1.6.2 Envelope Flow Models -- 1.6.3 Computational Fluid Dynamics (CFD) -- 1.6.3.1 CFD Software -- 1.6.3.2 Uncertainties in CFD -- 1.6.4 Combined Thermal and Airflow Models -- 1.7 Conclusions -- References -- Chapter 2: Theoretical Models of Envelope Flow: Steady and Unsteady -- 2.1 Introduction -- 2.1.1 Types of Envelope Flow Model -- 2.2 Steady Flow Models -- 2.2.1 Discharge Coefficient -- 2.2.2 Flow Induced by Density Difference -- 2.2.3 General Case: Buoyancy and Wind -- 2.2.4 Conservation of Mass for the Envelope -- 2.2.5 Solution of the Equations -- 2.2.6 Main Assumptions in Envelope Flow Models -- 2.3 Initial Design Calculations: Explicit Method -- 2.3.1 Connected Spaces: Sizing and Positioning of Openings -- 2.3.2 Buoyancy Alone, Uniform Internal Temperature -- 2.3.3 Wind Alone -- 2.3.4 Wind and Buoyancy Combined. 2.3.5 Non-uniform Temperature -- 2.3.6 Chimneys and Stacks -- 2.4 Later Design Stage: Implicit Solutions -- 2.4.1 Effect of Adventitious Leakage -- 2.4.2 Data Requirements -- 2.5 Unsteady Flow Models -- 2.5.1 Basic Theory for QT Model -- 2.5.1.1 Conservation of Mass -- 2.5.1.2 Momentum Equation -- 2.5.1.3 Pressure Difference Across an Opening -- 2.5.1.4 Equations to Be Solved -- 2.5.2 Unsteady Flow Models in Design -- 2.5.3 Important Nondimensional Parameters -- 2.5.4 Unsteady Effects on Mean Flow Rates and a Method for Estimating the Effects -- 2.5.5 Instantaneous Flow Rates -- 2.6 Conclusions -- References -- Chapter 3: Ventilation Flow Structure and High-Precision Ventilation Network Model -- 3.1 Introduction -- 3.2 Comparison of LES Calculation and Experimental Results Inside and Outside a Cross-Ventilation Model -- 3.3 Conservation of Total Pressure and Structure of Ventilating Flow -- 3.4 Concept of Local Dynamic Similarity Model -- 3.5 Evaluation of Ventilation Performance for Various Types of Inflow Openings -- 3.5.1 Ventilation Performance Expression for Openings -- 3.5.2 Ventilation Performance Database for Various Types of Inflow Openings -- 3.5.3 Ventilation Performance for Full-Sized Window Frame -- 3.6 Field Measurement for Cumulative Occurrence Frequency of Dimensionless Room Pressure -- 3.7 Prediction Accuracy by Local Dynamic Similarity Model for Ventilation Flow Rates in Two Zones -- 3.7.1 Outline of Wind Tunnel Experiments -- 3.7.2 Results of Prediction Accuracy of Discharge Coefficients and Ventilation Flow Rates -- 3.8 Ventilation Network Model and Its Application -- 3.8.1 Ventilation Network Model -- 3.8.2 Detached House Model -- 3.8.3 Simulation Study on Effects of Reducing Cooling Loads Through Cross-Ventilation in Detached House -- 3.8.3.1 Simulation Outline. 3.8.3.2 Logic of Opening/Closing Windows and Turning On/Off Air-Conditioner -- 3.8.3.3 Simulation Results for Cumulative Cooling Loads in LDK for the Month of June -- 3.9 Concluding Remarks -- References -- Chapter 4: Passive Cooling of Buildings: Present and Future Needs: Recent Progress on Passive Cooling Convective Technologies -- 4.1 Introduction -- 4.2 Present and Future Needs for Cooling -- 4.3 Passive Cooling to Fight Vulnerability and Protect Low-Income Population -- 4.4 Recent Progress on Convective Passive Cooling Techniques -- 4.4.1 Ventilative Passive Cooling -- 4.4.2 Ground Convective Cooling -- 4.5 Conclusions -- References -- Chapter 5: Thermal Comfort Inside and Outside Buildings -- 5.1 Introduction: Thermal Comfort as a Design Consideration -- 5.2 Thermal Comfort Indoors -- 5.3 Thermal Comfort Outdoors -- 5.4 Conclusions -- References -- Chapter 6: Pedestrian Wind Environment Around Tall Buildings -- 6.1 Introduction -- 6.2 Aerodynamics of the Urban Environment -- 6.3 Wind Comfort Criteria -- 6.3.1 Wind Ordinances in Major Cities -- 6.4 Experimental Procedure: Wind Tunnel Approach -- 6.4.1 General -- 6.4.2 Case Study -- 6.4.3 Sample Test Results -- 6.4.4 Comparison with Montreal´s Wind Criteria -- 6.5 Computational Procedure: CWE -- 6.5.1 Case Studies -- 6.6 Outdoor Comfort Issues -- 6.6.1 Temperature and Relative Humidity -- 6.6.2 Solar Radiation -- 6.6.3 Precipitation -- 6.7 Concluding Remarks -- References -- Chapter 7: Wind-Induced Dispersion of Pollutants in the Urban Environment -- 7.1 Introduction -- 7.2 ASHRAE Dispersion Models -- 7.2.1 Geometric Design Method -- 7.2.2 Gaussian Plume Equations -- 7.2.2.1 ASHRAE 1997/1999 -- 7.2.2.2 Gaussian Dilution Model (ASHRAE 2003, 2007, 2011) -- 7.3 Application of Dispersion Models to Near-Field Pollutant Dispersion Problems. 7.4 Application of CFD Models to Near-Field Pollutant Dispersion Problems -- 7.5 Selected Results from Recent Studies -- 7.5.1 Wind Tunnel, ADMS and ASHRAE Comparisons -- 7.5.2 Wind Tunnel and ASHRAE Dilution Results -- 7.5.3 CFD, Wind Tunnel and ASHRAE Comparisons -- 7.6 Design Guidelines -- 7.6.1 Design Guidelines Based on Field Studies -- 7.6.1.1 Stack Location -- 7.6.1.2 Stack Height -- 7.6.1.3 Stack Exhaust Speed -- 7.6.2 Design Guidelines Based on More Recent Studies -- 7.7 Conclusions -- References -- Chapter 8: Trends in the Field of Quality Assurance of Urban Flow and Dispersion Models -- 8.1 Introduction -- 8.2 Urban Flow and Dispersion Models -- 8.3 Urban Flow and Dispersion Models -- 8.4 Expected Trends in the Validation of Urban Models -- 8.5 Demonstration of the Method at a Specific Example -- 8.6 Conclusions -- References -- Chapter 9: Wind Tunnel Experiment and Large Eddy Simulation of Pollutant/Thermal Dispersion in Non-isothermal Turbulent Bounda... -- 9.1 Introduction -- 9.2 Technique for Simultaneously Measuring Fluctuating Velocity, Temperature, and Concentration -- 9.2.1 Calibrator of Split Film Probe and Cold Wire -- 9.2.2 Calibration Procedure for Cold Wire and Split Film Probe -- 9.2.3 Calibration of Cold Wire -- 9.2.4 Measurement of Air Temperature in Wind Tunnel Experiment -- 9.2.5 Calibration of Split Film and Measurement of Wind Velocity Components in Wind Tunnel Experiment -- 9.2.6 Measurement of Wind Velocity Components in Wind Tunnel Experiment -- 9.2.7 Layout of Sensors in Wind Tunnel Experiment -- 9.3 Examples of Wind Tunnel Experiments in Non-isothermal Turbulent Boundary Layer -- 9.3.1 Thermally Stratified Wind Tunnel -- 9.3.2 Wind Tunnel Experiment of Pollutant/Thermal Dispersion Behind a High-Rise Building -- 9.3.3 Wind Tunnel Experiment on Pollutant/Thermal Dispersion Within Building Block. 9.4 Large Eddy Simulation of Pollutant/Thermal Dispersion in Non-isothermal Turbulent Boundary Layer -- 9.4.1 Generation of Inflow Turbulence for Large Eddy Simulation -- 9.4.2 Validation of Large Eddy Simulation of Pollutant/Thermal Dispersion in Non-isothermal Boundary Layer -- 9.4.2.1 Generation of Inflow Turbulence of Wind Velocity and Temperature for Large Eddy Simulation -- 9.4.2.2 Examples of Large Eddy Simulation of Gas/Thermal Dispersion in Unstable Turbulent Boundary Layer -- 9.5 Conclusion -- References. Yoshie, Ryuichiro 9784431559108 print version oai:cds.cern.ch:2283496 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4459493 ebook ebook XX SzGeCERN EBL201709 BOOK n 201736 201709 21 PUBLIC BOOK DELETED 2283490 SzGeCERN 20210421210411.0 9789811005473 print version 9789811005497 electronic version electronic version oai:cds.cern.ch:2283490 cerncds:BOOK EBL 4442037 eng GE1-350 621.988 Muthu, Subramanian Senthilkannan Handbook of sustainability in additive manufacturing v.1 Singapore Springer 2016 172 p ebook Environmental footprints and eco-design of products and processes Sustainable Impact Evaluation of Support Structures in the Production of Extrusion-Based Parts -- Intro -- Contents -- Introduction -- A New Variant of Genetic Programming in Formulation of Laser Energy Consumption Model of 3D Printing Process -- 3D Printing Sociocultural Sustainability -- Additive Manufacturing and its Effect on Sustainable Design -- Sustainable Design for Additive Manufacturing Through Functionality Integration and Part Consolidation -- Redesigning Production Systems -- Abstract -- 1 Introduction: Systems in Crisis -- 2 The Change Is Now -- 3 Global Connectivity, Drivers for Change and Opportunities for Change -- 4 Additive Manufacturing and Global Connectivity for Sustainable Design and Production -- 5 Supply Chain Management (SCM) Implications of 3D Printing -- 4 Conclusions -- References -- 4 Case Study -- 5 Summary -- References -- 6 Humanitarian Logistic Case Study -- 7 Changing Consumer Relationships -- 8 Contraction and Convergence -- 9 New Patterns of Production -- 10 Conclusion -- References -- Abstract -- 1 Introduction -- 2 AM Enabled Design Methods -- 3 Sustainable Design Methodology for AM -- Abstract -- 1 Introduction -- 2 Relationship Between Design Quality and Sustainability -- 3 Additive Manufacturing -- Abstract -- 1 Introduction -- 2 Creating Connections -- 3 Craft Discourse and Sustainability -- 4 Making Context -- 5 Digital Crafting -- 6 Creating Balance -- 7 Digital Adaptation -- 8 Conclusion -- References -- Abstract -- 1 Introduction -- 2 Experiment Details for the SLS Process in the Measurement of Laser Energy Consumption and TAS -- 3 Evolutionary Algorithms -- 4 Results and Discussion -- 5 Conclusions -- References -- 1 What is Additive Manufacturing? -- References -- 3 Case Study -- 4 Conclusions -- References -- Abstract -- 1 Introduction -- 2 Additive Manufacturing -- 2.1 Material Extrusion. 2.2 Powder Bed Fusion -- 2.3 Vat Photopolymerization -- 2.4 Material Jetting -- 2.6 Sheet Lamination -- 3.1 Relationship Between Dissolution Time and Material Volume -- 3.2 Super Rugby Trophy 2015 and Klein Bottle -- 4.1 Statistical Validation of Energy Consumption Models Against the Experimental Data -- 4.2 Relationships Between Laser Energy Consumption and TAS and Inputs via Sensitivity and Parametric Analysis of the Best Model -- 3.1 Complexity-Based Evolutionary Approach of Genetic Programming (CN-GP) -- 3.1 Complexity for Free -- 3.2 Mass Customization -- 3.3 Freedom of Design -- 3.4 Sustainability of Additive Manufacturing Beyond Design Freedom -- 3.5 Speculations on the Impact of Additive Manufacturing -- 3.6 New Sustainability Challenges Associated with Additive Manufacturing -- 1.1 Planned Obsolescence -- 1.2 Sustainable Design Approaches -- 3.1 General Design Flow -- 3.2 Functional Design -- 3.3 Design Optimization -- 3.4 Design Refinement -- 3.5 Environmental Impact Evaluation -- 2.2 AM-Related Design Method -- 2.1 Impact of AM on Conventional DTM -- 5.1 The Development Cycle -- 5.2 Inventory Management: Production and Distribution -- 5.3 Logistic Postponement -- 5.4 Management of Spare Parts -- 2.3 On-Going AM-Related Design Research on Sustainability -- 2.1.1 Design Considerations for Manufacturing -- 2.1.2 Design Considerations for Assembly -- 2.1.3 Design Considerations for Performance -- 2.2.1 Design Guidelines and Design Rules -- 2.2.2 Modified DTM for AM -- 2.2.3 Design for Additive Manufacturing -- 1.2.1 Eco-design -- 1.2.2 Sustainable Design -- 1.2.3 Road-Map for Sustainable Product Development -- 1.2.5 Framework for Strategic Sustainable Development -- 1.2.6 Cradle to Cradle. EBL201709 MULTIVOLUMES1 Vol359 XX SzGeCERN BOOK Savalani, Monica Mahesh https://cds.cern.ch/auth.py?r=EBLIB_P_4442037 ebook n 201736 201709 21 PUBLIC https://catalogue.library.cern/legacy/2283490 BOOK MIGRATED 2283468 SzGeCERN 20210202231111.0 9783662487174 print version 9783662487198 electronic version electronic version oai:cds.cern.ch:2283468 cerncds:BOOK EBL 4216865 eng QD1-999 621.042 Colmenares, Juan Carlos Heterogeneous photocatalysis from fundamentals to green applications Berlin Springer 2015 419 p ebook Green chemistry and sustainable technology Preface -- Contents -- Chapter 1: Photocatalytic CO2 Reduction -- 1.1 Solar Fuels: Concept and Importance -- 1.2 Advantages of Solar Fuels Derived from CO2 -- 1.3 Differences Between Photocatalytic Hydrogen Generation from Water and CO2 Reduction -- 1.4 Current State of the Art in Photocatalytic CO2 Reduction -- 1.5 Photocatalytic CO2 Reduction by Water -- 1.6 Photocatalytic CO2 Reduction in the Presence of Sacrificial Electron Donors -- 1.7 Photoassisted CO2 Reduction by Hydrogen -- 1.8 Photocatalyst Types for CO2 Reduction -- 1.8.1 Semiconductor-Based Photocatalyst -- 1.8.2 Layered Double Hydroxide (LDH)-Based Photocatalysts -- 1.8.3 Graphene-Based Photocatalyst -- 1.9 Concluding Remarks and Future Perspectives -- References -- Chapter 2: Photocatalytic Water Oxidation -- 2.1 Introduction -- 2.2 Thermodynamics of Water-Splitting Process -- 2.2.1 General -- 2.2.2 Thermodynamics of Overall Water-Splitting Process -- 2.3 Mechanism of Overall Water-Splitting Process -- 2.3.1 Principle -- 2.3.2 Cocatalyst and Sacrificial Agent -- 2.3.3 Different Designs in Overall Water-Splitting Process -- 2.4 Standard of Measurements -- 2.4.1 Solar-to-Hydrogen Efficiency (STH) -- 2.4.2 Faradaic Efficiency -- 2.4.3 Applied-Bias-Compensated Solar-to-Hydrogen (AB-STH) Efficiency -- 2.4.4 Hypothetical Half-Cell Solar-to-Hydrogen (HCSTH) Efficiency -- 2.4.5 Quantum Yield -- 2.5 Role of Photocatalyst -- 2.5.1 Principle -- 2.5.2 Semiconductor-Liquid Interface -- 2.5.3 Z-Scheme Reaction: Innovative Approach -- 2.6 Water Oxidation -- 2.6.1 General -- 2.6.2 Innovative Techniques: Photocatalysts in Water Oxidation -- 2.6.2.1 Water Oxidation on TiO2 Surface -- 2.6.2.2 Cu2O: A Visible Light Irradiation Photocatalyst -- 2.6.2.3 BiVO4 -- 2.6.2.4 Biologically Templated Nanostructures -- 2.7 Photoelectrochemical Cell -- 2.7.1 Principle. 2.7.2 Working of Semiconductor Photoelectrochemical Cell -- 2.7.3 Fabrication of Semiconductor Photoelectrode -- 2.7.4 Metal Oxide-Based Photoelectrochemical Cell -- 2.7.5 Dye-Sensitized Photoelectrochemical Cell -- 2.7.6 CuWO4-WO3 Composite Electrode in the Presence of [Fe(CN)6]3- -- 2.8 Summary -- References -- Chapter 3: Heteropolyacid-Based Heterogeneous Photocatalysts for Environmental Application -- 3.1 Introduction -- 3.2 HPA-Based Heterogeneous Photocatalysts: HPA Immobilized on Different Supports Which Are Not Activated Under Irradiation -- 3.2.1 HPAs Immobilized on SiO2-Based Materials -- 3.2.2 HPAs on Zeolites -- 3.2.3 HPAs Immobilized on Carbon Nanotubes -- 3.3 HPA Immobilized on TiO2 -- 3.4 HPA on ZnO, ZrO2 and Ta2O5 -- 3.5 HPA Supported on C3N4, CdS and BiVO4 -- 3.6 HPA-Based Materials with HPA Associated to Inorganic, Organic or Organometallic Moieties -- 3.7 Conclusions -- References -- Chapter 4: Alternative Materials to TiO2 -- 4.1 Overview and Basic Concepts -- 4.2 Simple Oxides and Derivatives -- 4.2.1 d0 Oxides -- 4.2.2 d10 Metal Oxides -- 4.2.3 Other Transition Metal Oxides -- 4.3 Perovskites -- 4.4 Sulphides and Nitrides -- 4.4.1 Sulphides -- 4.4.2 Nitrides -- 4.5 Zeolites and MOFs -- 4.5.1 Zeolites -- 4.5.2 Metal-Organic Frameworks (MOFs) -- 4.6 Anchored Homogeneous-Heterogeneous Systems -- 4.7 Promoters -- 4.7.1 Noble Metal Nanoparticles (NPs) -- 4.7.2 Oxides and Nonmetal NPs -- 4.8 Concluding Remarks and Perspectives -- References -- Chapter 5: 1D TiO2 Nanotube-Based Photocatalysts -- 5.1 Introduction -- 5.2 Basic Introduction of TNTAs -- 5.3 TNTA-Based Photocatalysts -- 5.3.1 TNTAs with Nonmetal Element Doping -- 5.3.2 TNTAs with Metal Element Doping -- 5.3.3 TNTA/Noble Metal Nanocomposites -- 5.3.4 TNTA/Plasmonic Metal or Metal Cluster Nanocomposites -- 5.3.5 TNTA/Semiconductor Nanocomposites. 5.4 Photocatalytic Applications of TNTA-Based Nanocomposites -- 5.4.1 Nonselective Degradation of Organic Dye Pollutants -- 5.4.2 Selective Organic Transformation -- 5.4.3 CO2 Reduction -- 5.4.4 Photoelectrochemical (PEC) Water Splitting -- 5.5 Conclusions -- References -- Chapter 6: Water Splitting By Photocatalytic Reduction -- 6.1 Introduction -- 6.2 Fundamentals in Photocatalytic Water Splitting -- 6.3 Integration and Optimization of Metal Sulfide-Based Semiconductors -- 6.3.1 Loading Co-catalysts onto Nanoscale Metal Sulfides -- 6.3.2 Forming Doped or Nanosized Metal Sulfide Solid Solutions -- 6.3.3 Developing Core/Shell and Intercalated Semiconductors -- 6.3.4 Fabricating Hybrid or Multi-junction Photocatalysts -- 6.3.5 Exploring New Mechanisms Beyond Heterojunctions -- 6.4 Conclusion and Prospective -- References -- Chapter 7: Photoreactor Design Aspects and Modeling of Light -- 7.1 Introduction -- 7.2 Gas-Phase Photoreactors -- 7.2.1 Reactors for Photocatalytic Degradation of Volatile Organic Compounds (VOCs) -- 7.2.2 Reactors for Photocatalytic Degradation of Inorganic Pollutants -- 7.2.3 Reactors for Photocatalytic Inactivation of Bacteria -- 7.2.4 Reactors for Photocatalytic CO2 Conversion -- 7.3 Liquid-Phase Photoreactors -- 7.3.1 State of the Photocatalyst -- 7.3.1.1 Slurry Reactors -- 7.3.1.2 Immobilized Reactor -- 7.3.2 Type of Irradiation -- 7.3.2.1 Artificial Light -- 7.3.2.2 Solar Light -- 7.3.3 Position of the Irradiation Source -- 7.4 Light Modeling -- 7.5 Conclusions -- References -- Chapter 8: Solar-Chemical Energy Conversion by Photocatalysis -- 8.1 Introduction -- 8.2 Main Process and Basic Principles for Photocatalytic Selective Organic Transformations -- 8.3 Efficiency Evaluation of Photocatalytic Selective Organic Transformations -- 8.3.1 Light-Based Measures -- 8.3.2 Product-Based Measures. 8.4 Photooxidation of Organic Substrates -- 8.4.1 Hydroxylation of Benzene -- 8.4.2 Oxidation of Alcohols -- 8.4.3 Oxidation of Saturated Primary C-H Bonds -- 8.4.4 Epoxidation of Alkenes -- 8.4.5 Sulfoxidation of Thioethers -- 8.5 Photoreduction of Nitroaromatics -- 8.6 Coupling Reactions -- 8.6.1 C-N Coupling -- 8.6.2 C-C Coupling -- 8.7 Conclusion -- References -- Chapter 9: Synthetic Applications of Titanium(IV) Oxide-Based Photocatalysts -- 9.1 Introduction -- 9.1.1 Advantages of TiO2 for Organic Synthesis -- 9.1.2 Photocatalytic Reductive Conversions -- 9.2 Photocatalytic Reduction of Nitrobenzenes in Aqueous Suspensions of TiO2 in the Presence of ``Greener´´ Hole Scavengers -- 9.2.1 Photocatalytic Reduction of m-Nitrobenzenesulfonic Acid in the Presence of Formic Acid Under Deaerated Conditions -- 9.2.2 Effect of Physical Properties of TiO2 Samples on Photocatalytic Reduction of m-NBS -- 9.2.3 Photocatalytic Reduction of m-NBS in the Presence of FA Under Air -- 9.3 Photocatalytic Reduction of Benzonitrile -- 9.3.1 Effect of Metal Loaded -- 9.3.2 Effect of Solvents and Hole Scavengers -- 9.3.3 Time Course of Photocatalytic Reduction of PhCN over Pd-TiO2 in Water Containing Oxalic Acid as Hole Scavenger -- 9.4 Photocatalytic Hydrogenation of Alkenes to Alkanes in Alcoholic Suspensions of Palladium-Loaded Titanium(IV) Oxide Without... -- 9.4.1 Effect of Metal Co-catalyst on Photocatalytic Hydrogenation of Styrene -- 9.4.2 Photocatalytic Hydrogenation of Styrene to Ethylbenzene over Pd-TiO2 -- 9.4.3 Applicability of the Photocatalytic Hydrogenation of Alkenes -- 9.5 Chemoselective Reduction of Nitrobenzenes to Aminobenzenes Having Reducible Groups by Titanium(IV) Oxide Photocatalyst Und... -- 9.5.1 Photocatalytic Chemoselective Reduction of NS to AS in 10 Vol% Water-Acetonitrile Suspension of TiO2. 9.5.2 Intermolecular Chemoselective Reduction of Nitrobenzene and Styrene -- 9.5.3 Applicability -- 9.6 Stoichiometric Production of Aminobenzenes and Ketones by Photocatalytic Reduction of Nitrobenzenes in Secondary Alcoholic... -- 9.6.1 Stoichiometric Production of Aniline and Acetone in Photocatalytic Reaction of Nitrobenzene in 2-Propanol Suspension of ... -- 9.6.2 Chemoselective Reduction of Nitrobenzenes to Anilines Having Reducible Groups in 2-Propanol Suspension of TiO2 Under Dea... -- 9.6.3 Stoichiometric Production of Aniline and Acetone in Photocatalytic Reaction of Nitrobenzene in 2-Propanol Suspension of ... -- 9.7 Simultaneous Production of Aromatic Aldehydes and Dihydrogen by Photocatalytic Dehydrogenation of Liquid Alcohols over Met... -- 9.7.1 Photocatalytic Dehydrogenation of BnOH in an Aqueous Suspension of Pt-TiO2 -- 9.7.2 Durability and Reactions at High Concentrations -- 9.8 Conclusions -- References -- Chapter 10: Fundamentals of TiO2 Photocatalysis. Consequences for Some Environmental Applications -- 10.1 Introduction -- 10.2 Formation and Fate of Charge Carriers Generated by Photon Excitation of TiO2 -- 10.2.1 Absorption of Photons -- 10.2.2 Charge Thermalization -- 10.2.3 Transport to the Surface, Trapping, Detrapping, and Recombination of Charges -- 10.2.4 Electron Transfer From or To Adsorbates -- 10.3 Roles of H2O, O2, O3, and H2O2 in TiO2 Photocatalysis -- 10.3.1 Roles of Water -- 10.3.2 Roles of Oxygen -- 10.3.3 Effect of Adding Ozone -- 10.3.4 Effect of Adding Hydrogen Peroxide -- 10.4 Removal of Organic Matter -- 10.4.1 OH-Mediated Versus h+-Mediated Pathways -- 10.4.2 Types of Intermediate Products of Photocatalytic Degradation -- 10.5 Effects of Structural/Textural Characteristics of Pristine TiO2 upon the Photocatalytic Efficiency -- 10.5.1 Effect of Crystallinity -- 10.5.2 Effect of the Allotropic Form. 10.5.3 Effect of the Particle Shape: Case of TiO2 Nanotubes. EBL201709 XX SzGeCERN BOOK Xu, Yi-Jun https://cds.cern.ch/auth.py?r=EBLIB_P_4216865 ebook n 201736 201709 21 PUBLIC BOOK DELETED 2283415 SzGeCERN 20200503231951.0 9789401792684 print version 9789401792691 electronic version electronic version oai:cds.cern.ch:2283415 cerncds:BOOK EBL 1968496 eng QH301-705 541.395 Kroneck, Peter MH The metal-driven biogeochemistry of gaseous compounds in the environment Dordrecht Springer 2014 363 p ebook Metal ions in life sciences 14 Historical Development and Perspectives of the Series -- Metal Ions in Life Sciences. -- Preface to Volume 14 -- The Metal-Driven Biogeochemistry of Gaseous Compounds in the Environment -- Contents -- Contributors to Volume 14 -- Titles of Volumes 1-44 in the Metal Ions in Biological Systems Series -- Contents of Volumes in the Metal Ions in Life Sciences Series -- Volume 1 Neurodegenerative Diseases and Metal Ions -- Volume 2 Nickel and Its Surprising Impact in Nature -- Volume 3 The Ubiquitous Roles of Cytochrome P450 Proteins -- Volume 4 Biomineralization. From Nature to Application -- Volume 5 Metallothioneins and Related Chelators -- Volume 6 Metal-Carbon Bonds in Enzymes and Cofactors -- Volume 7 Organometallics in Environment and Toxicology -- Volume 8 Metal Ions in Toxicology: Effects, Interactions, Interdependencies -- Volume 9 Structural and Catalytic Roles of Metal Ions in RNA -- Volume 10 Interplay between Metal Ions and Nucleic Acids -- Volume 11 Cadmium: From Toxicity to Essentiality -- Volume 12 Metallomics and the Cell -- Volume 13 Interrelations between Essential Metal Ions and Human Diseases -- Volume 14 The Metal-Driven Biogeochemistry of Gaseous Compounds in the Environment (this book) -- Volume 15 Sustaining Life on Planet Earth: Metalloenzymes Mastering Dioxygen and Other Chewy Gases (in press) -- Volume 16 The Alkali Metal Ions: Their Role for Life (in preparation) -- Chapter 1: The Early Earth Atmosphere and Early Life Catalysts -- 1 The Early Earth Atmosphere and Lithosphere -- 1.1 Earth´s Internal Structure -- 2 Catalysts in the Early Earth -- 3 Clays as Possible Catalysts in the Synthesis of Biomolecules -- 4 General Conclusions -- Abbreviations -- References -- Chapter 2: Living on Acetylene. A Primordial Energy Source -- 1 Introduction -- 2 Acetylene -- 2.1 Properties of Acetylene. 2.2 Sources and Bioavailability of Acetylene on Earth and Other Planets -- 3 Bacteria Living on Acetylene -- 3.1 Pelobacter acetylenicus -- 4 Acetylene Hydratase from Pelobacter acetylenicus -- 4.1 Biochemical and Spectroscopic Properties -- 4.2 Molybdenum-Substituted Enzyme -- 4.3 Crystallization -- 4.4 Structural Overview -- 4.5 Active Site Setup -- 4.6 Site-Directed Mutagenesis -- 4.7 Density Functional Theory Calculations on the Substrate Binding Mode and Amino Acid Protonation States -- 4.8 Towards the Reaction Mechanism -- 5 Conclusions -- Abbreviations and Definitions -- References -- Chapter 3: Carbon Monoxide. Toxic Gas and Fuel for Anaerobes and Aerobes: Carbon Monoxide Dehydrogenases -- 1 Introduction -- 1.1 Chemistry of Carbon Monoxide -- 1.2 Carbon Monoxide in the Biosphere -- 1.2.1 Biological Cycle of Carbon Monoxide -- 1.2.1.1 Sources of Carbon Monoxide -- 1.2.1.2 Removal of Carbon Monoxide -- 1.2.2 Use of Carbon Monoxide under Aerobic and Anaerobic Conditions -- 1.2.2.1 Fates of Carbon Monoxide under Aerobic Conditions -- 1.2.2.2 Fates of Carbon Monoxide under Anaerobic Conditions -- 2 Structure and Function of Carbon Monoxide Dehydrogenases -- 2.1 Cu,Mo-Containing Carbon Monoxide Dehydrogenases -- 2.1.1 Structure of Cu,Mo-Carbon Monoxide Dehydrogenases -- 2.1.2 Spectroscopic Investigations -- 2.1.3 Enzymatic Activity -- 2.1.4 Reaction Mechanism -- 2.2 Monofunctional Ni,Fe-Containing Carbon Monoxide Dehydrogenases -- 2.2.1 Function, Distribution, and Overall Structure -- 2.2.2 Electronic States and Structure of Cluster C -- 2.2.3 Pathways and Channels Involved in Catalysis -- 2.2.4 Inhibited States of Cluster C -- 2.2.5 Mechanism of Reversible Carbon Dioxide Reduction at Cluster C -- 2.3 Bifunctional Ni,Fe-Containing Carbon Monoxide Dehydrogenases -- 2.3.1 Classification and Distribution. 2.3.2 Structural Characterization of Bacterial CODH/ACS -- 2.3.3 Substrate Binding and Reaction Mechanism -- 2.4 Cu,Mo versus Ni,Fe: Parallels and Differences in Catalytic Strategies -- 3 Concluding Remarks and Future Directions -- Abbreviations -- References -- Chapter 4: Investigations of the Efficient Electrocatalytic Interconversions of Carbon Dioxide and Carbon Monoxide by Nickel-C... -- 1 Direct Carbon Dioxide/Carbon Monoxide Interconversions in Biology -- 2 Nickel-Containing Carbon Monoxide Dehydrogenases -- 3 Protein Film Electrochemistry -- 4 Carbon Monoxide Dehydrogenases as Electrocatalysts -- 4.1 The Electrocatalytic Voltammograms of Class IV Enzymes -- 4.2 The Electrocatalytic Voltammograms of Class III Enzymes -- 5 Potential-Dependent Reactions with Inhibitors -- 5.1 How Class IV Carbon Monoxide Dehydrogenases Respond to Cyanide -- 5.2 How Class IV Carbon Monoxide Dehydrogenases Respond to Cyanate -- 5.3 How Class IV Carbon Monoxide Dehydrogenases Respond to Sulfide and Thiocyanate -- 6 Demonstrations of Technological Significance -- 7 Conclusions -- Abbreviations -- References -- Chapter 5: Understanding and Harnessing Hydrogenases, Biological Dihydrogen Catalysts -- 1 Introduction -- 2 Dihydrogen Cycles and Hydrogenases -- 2.1 The Global Dihydrogen Cycle -- 2.2 Dihydrogen Cycling in Microbial Communities -- 2.3 Solar Dihydrogen Economy -- 2.3.1 Hydrogenase Photoelectrolysis Devices -- 2.3.2 Photosynthetic Dihydrogen -- 3 [NiFe] Hydrogenases -- 3.1 Structure and Function -- 3.1.1 Mechanisms for Dioxygen Tolerance -- 3.1.2 [NiFeSe] Hydrogenases -- 3.2 Biosynthesis -- 4 Nickel-Free Hydrogenases: [FeFe] and [Fe] Enzymes -- 4.1 [FeFe] Hydrogenase Structure and Function -- 4.2 [FeFe] Hydrogenase Biosynthesis -- 4.3 [Fe] Hydrogenases -- 5 Insights into Hydrogenase Mechanism from Small Molecule Mimics -- 6 General Conclusions. Abbreviations and Definitions -- References -- Chapter 6: Biochemistry of Methyl-Coenzyme M Reductase: The Nickel Metalloenzyme that Catalyzes the Final Step in Synthesis an... -- 1 Introduction -- 1.1 Nickel Enzymes Involved in Metabolism of Environment- and Energy-Relevant Gases -- 1.2 Methyl-Coenzyme M Reductase and Its Involvement in Generation and Utilization of Methane -- 1.3 Ramifications of Methanogenesis in Energy and the Environment -- 1.4 Discoveries Underpinning Recent Studies of Methyl-Coenzyme M Reductase -- 2 Structure and Properties of Methyl-Coenzyme M Reductase and Its Bound Coenzyme F430 -- 2.1 Structure, Properties, and Reactivity of Coenzyme F430 -- 2.2 Structure, Properties, and Reactivity of Methyl-Coenzyme M Reductase -- 3 Redox and Coordination Properties of the Nickel Center in Methyl-Coenzyme M Reductase -- 3.1 Coordination and Oxidation States of the Free F430 Cofactor and Its Pentamethyl Ester Derivative -- 3.2 Coordination and Oxidation States of the Nickel Center -- 4 The Catalytic Mechanism of Methyl-Coenzyme M Reductase -- 5 Summary and Prospects for Future Science and Technology -- Abbreviations -- References -- Chapter 7: Cleaving the N,N Triple Bond: The Transformation of Dinitrogen to Ammonia by Nitrogenases -- 1 Introduction -- 2 The Structural and Biochemical Properties of Mo-Nitrogenase -- 2.1 The Fe Protein and Its Associated Metal Clusters -- 2.1.1 The Polypeptide -- 2.1.2 The [Fe4S4] Cluster -- 2.2 The MoFe Protein and Its Associated Metal Clusters -- 2.2.1 The Polypeptide -- 2.2.2 The P-cluster -- 2.2.3 The FeMoco -- 3 The Catalytic Mechanism of Mo-Nitrogenase -- 3.1 The Thorneley-Lowe Model -- 3.1.1 The Fe Protein Cycle -- 3.1.2 The MoFe Protein Cycle -- 3.2 Further Development and Modifications of the Thorneley-Lowe Model -- 3.2.1 Intermediates of the MoFe Protein Cycle. 3.2.1.1 The Substrate-Free M4 Intermediate -- 3.2.1.2 The M7 and M8 Intermediates -- 3.2.2 The Reductive Dihydrogen Elimination Mechanism -- 3.2.3 The Alternating Dinitrogen Reduction Pathway -- 4 The Distinct Structural and Catalytic Features of V-Nitrogenase -- 4.1 The Structural Features -- 4.1.1 The Fe Protein -- 4.1.2 The VFe Protein -- 4.2 The Catalytic Features -- 4.2.1 The Reduction of Dinitrogen -- 4.2.2 The Reduction of Carbon Monoxide -- 5 Conclusions -- Abbreviations -- References -- Chapter 8: No Laughing Matter: The Unmaking of the Greenhouse Gas Dinitrogen Monoxide by Nitrous Oxide Reductase -- 1 Introduction: The Biogeochemical Nitrogen Cycle -- 2 Nitrous Oxide: Environmental Effects and Atmospheric Chemistry -- 2.1 Chemical Properties of Dinitrogen Monoxide -- 2.2 Nitrous Oxide, the Greenhouse Effect, and Ozone Depletion -- 2.3 Abiotic and Biotic Sources -- 2.4 Bacterial Denitrification -- 3 Nitrous Oxide Reductase -- 3.1 Anatomy of an Unusual Copper Enzyme -- 3.1.1 Distinct Forms of the Enzyme -- 3.1.2 Three-Dimensional Structures -- 3.2 CuA: More than an Electron Transfer Center -- 3.2.1 Spectroscopic Properties of CuA -- 3.2.2 Three-Dimensional Structure(s) of CuA -- 3.2.3 Unexpected Flexibility: CuA in P. stutzeri Nitrous Oxide Reductase -- 3.3 The Tetranuclear CuZ Center -- 3.3.1 Structural Data on CuZ -- 3.3.2 States of CuZ and Catalytic Properties -- 4 Biogenesis and Assembly of Nitrous Oxide Reductase -- 4.1 The nos Operon -- 4.2 Protein Maturation and CuA Insertion -- 4.3 Assembly of CuZ -- 5 Activation of Nitrous Oxide: The Workings of Nitrous Oxide Reductase -- 5.1 Substrate Access -- 5.2 Gated Electron Transfer -- 5.3 Activation of Nitrous Oxide -- 5.4 The Fate of the Products -- 6 General Conclusions -- Abbreviations and Definitions -- References -- Chapter 9: The Production of Ammonia by Multiheme Cytochromes c. 1 Introduction. MILS-14 provides a most up-to-date view of the exciting biogeochemistry of gases in our environment as driven mostly by microorganisms. These employ a machinery of sophisticated metalloenzymes, where especially transition metals (such as Fe, Ni, Cu, Mo, W) play a fundamental role, that is, in the activation, transformation and syntheses of gases like dihydrogen, methane, carbon monoxide, acetylene and those of the biological nitrogen and sulfur cycles. The Metal-Driven Biogeochemistry of Gaseous Compounds in the Environment is a vibrant research area based mainly on structural and microbial biology, inorganic biological chemistry and environmental biochemistry. All this is covered in an authoritative manner in 11 stimulating chapters, written by 26 internationally recognized experts and supported by nearly 1200 references, informative tables and about 100 illustrations (two thirds in color). MILS-14 also provides excellent information for teaching. Peter M. H. Kroneck is a bioinorganic chemist who is exploring the role of transition metals in biology, with a focus on functional and structural aspects of microbial iron, copper and molybdenum enzymes and their impact on the biogeochemical cycles of nitrogen and sulfur. Martha E. Sosa Torres is an inorganic chemist, with special interests in magnetic properties of newly synthesized transition metal complexes and their reactivity towards molecular oxygen, applying kinetic, electrochemical and spectroscopic techniques. EBL201709 XX SzGeCERN EBL Gases -- Environmental aspects BOOK Sosa Torres, Martha E https://cds.cern.ch/auth.py?r=EBLIB_P_1968496 ebook n 201736 201709 21 PUBLIC BOOK DELETED 2283398 SzGeCERN 20180410204928.0 9783319080574 (electronic bk.) electronic version 9783319080567 electronic version EBL 1803003 eng R-RZ 610.28 Borkow, Gadi Use of biocidal surfaces for reduction of healthcare acquired infections Cham Springer 2014 218 p Contents -- Chapter 1: Preface -- References -- Chapter 2: Survival of Microorganisms on Inanimate Surfaces -- 2.1 Introduction -- 2.2 The Role of Surfaces in the Transmission of Pathogenic Microorganisms Causing Healthcare-Acquired Infections (HAI) -- 2.3 Persistence of Microorganisms on Inanimate Surfaces -- 2.3.1 Persistence of Bacteria -- 2.3.2 Persistence of Viruses -- 2.3.3 Persistence of Fungi -- 2.3.4 Persistence of Other Pathogenic Microorganisms -- 2.3.5 Factors Influencing the Survival of Microorganisms in the Environment -- 2.3.5.1 Relative Humidity (RH) -- 2.3.5.2 Temperature -- 2.3.5.3 Biofilm -- 2.3.5.4 Other Factors -- 2.3.6 Limitations on the Knowledge of Microbial Survival on Inanimate Surfaces -- 2.4 Mechanisms of Transmission from Inanimate Surfaces to Susceptible Patients and Consequences Thereof -- References -- Chapter 3: The Role of Contaminated Surfaces in the Transmission of Nosocomial Pathogens -- 3.1 Introduction -- 3.2 Pathogens Are Shed into the Hospital Environment -- 3.3 The Concentration of Contamination Is Sufficient for Transmission -- 3.4 Nosocomial Pathogens Can Survive on Surfaces for Long Periods -- 3.5 Limitations of Cleaning and Disinfection -- 3.6 Nosocomial Pathogens Can Be Transferred from Contaminated Surfaces to the Hands of Healthcare Workers -- 3.7 Evidence That Surface Contamination Contributes to Nosocomial Cross-Transmission -- 3.7.1 Clostridium Difficile -- 3.7.2 Vancomycin-Resistant Enterococci (VRE) -- 3.7.3 MRSA -- 3.7.4 Gram-Negative Rods (GNRs) -- 3.7.4.1 Non-fermenting Gram-negative bacteria (Acinetobacter and Pseudomonas) -- 3.7.4.2 Enterobacteriaceae -- 3.7.5 Norovirus -- 3.7.6 Revaluating ``Negative´´ Studies -- 3.8 Environmental Cleaning, Disinfection and Infection Control -- 3.8.1 Improving the Efficacy of Cleaning and Disinfection -- 3.8.2 Evaluating and Implementing New Technology. 3.8.3 Reducing and Controlling the Extent of Environmental Contamination -- 3.8.4 Antimicrobial Surfaces -- 3.8.5 Improving the Quality of the Evidence -- 3.9 Conclusion -- References -- Chapter 4: Role of the Microbial Burden in the Acquisition and Control of Healthcare Associated Infections: The Utility of Sol... -- 4.1 Introduction -- 4.2 Role of the Environment in Healthcare Infection -- 4.2.1 Microbes in the Built Environment -- 4.2.2 Transmission of Pathogens to Patients and Healthcare Workers -- 4.2.3 Contamination of Medical Equipment -- 4.2.4 Risk to Patient When Prior Room Occupant Colonized or Infected with Epidemiologically Important Organisms -- 4.3 No-Touch Disinfection Technologies -- 4.4 Antimicrobial Copper: A Continuously Active No-Touch Disinfection Solution for Healthcare -- 4.5 Postulated Mechanism of Action of Solid Metallic Cooper -- 4.6 Use of Copper Surfaces in Healthcare -- 4.7 Summary -- References -- Chapter 5: Biocidal Hard and Soft Surfaces Containing Copper Oxide Particles for the Reduction of Healthcare-Acquired Pathogens -- 5.1 Hospital Textiles as a Source of Healthcare-Acquired Pathogens -- 5.2 Biocidal Textiles as a Tool to Fight Healthcare-Acquired Infections -- 5.3 Biocidal Textiles Containing Copper Oxide -- 5.4 Non-porous Solid Biocidal Surfaces Containing Copper Oxide -- References -- Chapter 6: Biocidal Mechanisms of Metallic Copper Surfaces -- 6.1 The Biocidal History of Copper -- 6.2 Copper the ``Modern´´ Bioelement -- 6.2.1 General Chemistry Properties -- 6.2.2 How Organisms Use Copper -- 6.2.3 Copper Homeostasis -- 6.2.4 Ionic Copper Toxicity -- 6.3 Metallic Copper Surfaces as a Biocidal Tool -- 6.3.1 Quick Cell Inactivation by Metallic Copper Surfaces -- 6.3.1.1 Copper Surface Oxidation and Cell Accumulation -- Copper Release and Accumulation Under Wet Conditions. Copper Release and Accumulation Under Dry Conditions -- Survival Depends on Buffer Composition and Surface Corrosion -- 6.3.2 Additional Physical and Physiological Factors Modulating the Contact-Killing Process -- 6.3.2.1 Copper Alloy Content and Roughness -- 6.3.2.2 Temperature and Moisture -- 6.3.2.3 Copper Chelators -- 6.3.2.4 Osmotic Stress -- 6.3.2.5 Reactive Oxygen Species -- 6.3.2.6 Cellular Physiology -- Cell Wall Structure -- Spores -- Copper Detoxifying Systems and Pre-adaptation to Copper -- Anaerobiosis -- Viable-But-Not-Culturable (VBNC) -- 6.3.3 Cellular Targets of Metallic Copper Toxicity -- 6.3.3.1 DNA Mutations and Degradation -- 6.3.3.2 Membrane Permeability -- 6.3.3.3 Lipid Oxidation Chemistry -- 6.4 Holistic ``Systems View´´ of Biocidal Effect of Metallic Copper -- 6.5 Metallic Copper Under Healthcare Environments -- 6.6 Closing Remarks -- References -- Chapter 7: An Overview of the Options for Antimicrobial Hard Surfaces in Hospitals -- 7.1 Role of the Environment in Transmission -- 7.1.1 Evidence That Contaminated Surfaces Contribute to Transmission -- 7.1.2 The Relationship Between Contamination Burden and Transmission Risk -- 7.1.3 Potential Role for Antimicrobial Surfaces -- 7.2 Current Options and the `Ideal´ Candidate for Antimicrobial Surfaces -- 7.2.1 Considering the `Ideal´ Antimicrobial Surface -- 7.3 Assessing Antimicrobial Surfaces -- 7.3.1 In Vitro Activity -- 7.3.2 In Situ Activity -- 7.3.3 Clinical Impact -- 7.3.4 Cost-Effectiveness -- 7.4 Appraising the Options -- 7.4.1 Metals -- 7.4.1.1 Copper -- 7.4.1.2 Silver -- 7.4.2 Chemical -- 7.4.2.1 Organosilane -- 7.4.2.2 Quaternary Ammonium Compound -- 7.4.2.3 Light-Activated -- 7.4.2.4 Polycationic Polymers -- 7.4.2.5 Triclosan -- 7.4.3 Physical Alteration of Surface Properties -- 7.4.4 Other Options -- 7.5 Summary -- References. Chapter 8: Economics of Using Biocidal Surfaces -- 8.1 Introduction -- 8.2 Evaluation of ICU Cost Effectiveness -- 8.3 Antimicrobial Copper Cu+ Implementation in NICU (Neonatal Intensive Care Unit) -- 8.4 Economic Impacts on the Operational Costs of the ICU After Antimicrobial Copper Cu+ Implementation -- 8.4.1 APACHE II Score -- 8.4.2 SAPSII Score -- 8.5 Analytically -- 8.6 Conclusions -- References -- Chapter 9: Alternative Room Disinfection Modalities - Pros and Cons -- 9.1 Introduction -- 9.2 Methods -- 9.3 Results -- 9.3.1 Fumigation Benefits: Efficacy, Effectiveness and Efficiency -- 9.3.2 Fumigation Risks: Health and Safety and Costs -- 9.3.3 UVC Germicidal Irradiation Risks and Benefits -- 9.4 Discussion -- 9.5 Conclusion -- References -- Index. A "must read" by all infection control officers determined to protect their patients from infections The Book reviews and discusses "out of the box" measures to fight Healthcare Acquired Infections (HAI) The Book describes how using self-sterilizing surfaces can fight HAI, including those caused by antibiotic resistant pathogens. 9783319080567 print version oai:cds.cern.ch:2283398 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1803003 ebook ebook XX SzGeCERN EBL201709 BOOK n 201736 201709 21 PUBLIC BOOK DELETED 2283381 SzGeCERN 20180822202548.0 9789400768444 (electronic bk.) electronic version 9789400768437 electronic version EBL 1317184 eng GE1-350 518.25 Priour, Daniel A finite element method for netting application to fish cages and fishing gear Dordrecht Springer 2014 112 p Springerbriefs in environmental science Contents -- 1 Introduction -- 1.1 Why Fishing Cages and Fishing Gears? -- 1.2 Why the Finite Element Method? -- 1.3 Why for Netting and Cable? -- 1.4 Why a Book? -- 2 Finite Element Method -- 2.1 Principle -- 2.1.1 Field of Numerical Points -- 2.1.2 Finite Elements -- 2.2 A Simple Example -- 2.3 Nodes Position, Forces on Nodes, and Stiffness Matrix -- 2.4 Local and Global Forces and Stiffness -- 2.5 Symmetry -- 2.6 Boundary Conditions -- 3 Equilibrium Calculation -- 3.1 Newton-Raphson Method -- 3.1.1 One Dimension -- 3.1.2 Two Dimensions -- 3.1.3 Several Dimensions -- 3.1.4 Singularity of the Stiffness Matrix -- 3.2 Other Resolution Methods -- 3.2.1 Newmark Method -- 3.2.2 Energy Minimization -- 4 The Triangular Finite Element for Netting -- 4.1 State-of-the-Art of Numerical Modelling for Nets -- 4.1.1 Constitutive Law for Nets -- 4.1.2 Twine Numerical Method -- 4.2 The Finite Element for Netting -- 4.2.1 The Basic Method: Direct Formulation -- 4.2.2 Metric of the Triangular Element -- 4.3 The Forces on the Netting -- 4.3.1 Twine Tension in Diamond Mesh -- 4.3.2 Twine Tension in Hexagonal Mesh -- 4.3.3 Hydrodynamic Drag -- 4.3.4 Twine Flexionin Netting Plane -- 4.3.5 Twine Flexion Outside the Netting Plane -- 4.3.6 Fish Catch Pressure -- 4.3.7 Dynamic: Force of Inertia -- 4.3.8 Dynamic: Drag Force -- 4.3.9 Buoyancy and Weight -- 4.3.10 Contact Between Knots -- 5 The Bar Finite Element for Cable -- 5.1 Principle -- 5.2 Tension on Bars -- 5.2.1 Force Vector -- 5.2.2 Stiffness Matrix -- 5.3 Bending of Cables -- 5.3.1 Force Vector -- 5.3.2 Stiffness Matrix -- 5.4 Drag on Cables -- 5.4.1 Introduction -- 5.4.2 Definitions of the Variables -- 5.4.3 Stiffness of the Normal Force -- 5.4.4 Stiffness of the Tangential Force -- 6 The Node Element -- 6.1 Principle -- 6.2 Contact on Bottom -- 6.2.1 Force Vector -- 6.2.2 Stiffness Matrix -- 6.3 Drag on Bottom. 6.3.1 Force Vector -- 6.3.2 Stiffness Matrix -- 7 Validation -- 7.1 Tractrix -- 7.2 Diamond Mesh Netting Stretched by its Weight -- 7.3 Hexagonal Mesh Net Held Vertically in the Current -- 7.4 Hydrostatic Pressure -- 7.5 Cod-End with Catch in the Current -- 7.6 Full Cod-End -- 7.7 Bottom Trawl -- 7.8 Cubic Fish Cage -- 7.9 Bending of Cable -- References -- -- Index. This book describes a finite element method for netting that describes the relation between forces and deformation of the netting and takes into account forces due to the twine elasticity, the hydrodynamic forces, the catch effect, the mesh opening stiffness. 9789400768437 print version oai:cds.cern.ch:2283381 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1317184 ebook ebook EBL Fishing -- Equipment and supplies XX SzGeCERN EBL201709 BOOK n 201736 201709 21 PUBLIC BOOK DELETED 2283375 SzGeCERN 20180317013931.0 9788132207924 (electronic bk.) electronic version 9788132217169 electronic version EBL 1083433 eng HF4999.2-6182 004 Akhilesh, K B Emerging dimensions of technology management New Delhi Springer 2013 213 p Emerging Dimensions of Technology Management -- Preface -- About Us -- Department of Management Studies -- Indian Institute of Science -- Contents -- Emerging Issues in Technology Management: Global Perspectives: The Need for and Understanding of a Technology Commercialization Framework -- Introduction -- Common Strategies -- The Main Emergent Issues -- Typical Problems of Operational and Policy Bottlenecks at TTOs -- Freeing Up the Bottlenecks -- The ETECH Model for Institutions -- Why Do Institutions Need a Course Like ETECH? -- What Should a Course Like ETECH Contain in Terms of Curriculum? -- Methodology -- Outcomes So Far -- Materials -- Technology Adoption Life Cycle -- The Market Is Segmented into Numerous Stages -- But There Is More than One Chasm -- Discussion -- References -- Innovation Valuation: Guesswork or Formalized Framework? A Literature Review -- Introduction -- R&D, Innovation, Productivity and Market Value -- Innovation and Market Value -- R&D and Productivity -- Innovation and Sales Growth or Cost Reduction -- Innovative Project Management -- Technology Assessment and Technology Forecasting -- Composite Measurement -- Scoreboard Approaches -- Portfolio Evaluation Tools -- Analysis and Conclusions -- Author's Biography -- References -- Technology Management in India's Plantation Sector: Structural Infirmities Perspective: Overview of Tea & Coffee, Indigenous Machinery, Effects of Climate Change, Production Management, Quality & Safety, Trans-disciplinary R&D and Conclusion -- Introduction -- An Overview: Coffee and Tea Sector in India -- Coffee -- An Overview: Tea -- Analysis and Discussion -- Technology for Indigenous Machinery for Different Operations Within Ergonomic Aspects of Coffee -- Technology for Tea Mechanization -- Mitigation Effects on Climate Change and Impact on Coffee. Mitigation Effects on Climate Change and Its Vulnerabilities and Impact on Tea -- Formulation of Eco-Friendly Plant Protection Measures and Management -- Technology for Coffee Quality Improvement (Organoleptic) -- Research on Quality and Safety-Related Issues in Tea -- Need for Trans-disciplinary Development -- Retention and Turnover of Scientists -- International Competitiveness -- Conclusion -- Bibliography -- The following websites were visited and relevant information was accessed during January-April 2011 -- Good Urban Governance and Smart Technologies: A German City as a Best Practice Case of E-Government -- The German Urban Governance Model -- E-Government Master Plan of Lower Saxony -- Smart Technologies and E-Governance in Delmenhorst 4 -- Conclusion -- Bibliography -- An Overview on Technology Nurturing and Incubation from a Life Science Perspective -- Introduction -- Technology in Life Sciences -- Bioinnovation -- Why Is It Important to Nurture Technology? -- Ways to Nurture Innovation -- Business/Technology Incubation -- How Incubators Help to Nurture Technology -- Impact of Incubators -- Growth of Incubators -- Bioincubation: Different from Other Incubation -- Need for Incubation in India -- Conclusions -- References -- An Integrated Talent Management System for Maintaining an Up-to-Date Technical Workforce -- Introduction -- Defining Obsolescence -- A Lack of New Knowledge or Skills -- Ineffectiveness -- Job and Professional Roles -- Causes of Obsolescence: An Open Systems Model -- An Integrated Talent Management System -- Environmental-Organizational Interface: Monitoring Obsolescence -- Environmental Scanning -- Knowledge Loss to the Environment -- Metrics for Monitoring -- Individual Characteristics -- Selection and Placement -- Performance Appraisal -- Nature of the Work -- Job Design -- Competent Supervision -- Technical Support. Organizational Climate -- In uence in Decision Making -- Reward System -- Professional Career Development -- Acquisition of New Technical Information -- Conclusion -- References -- Designing and Operating Communities of Practice for Managing Knowledge: Lessons from a Comprehensive Global Knowledge Manag... -- Introduction -- Defining CoP -- Forming and Operating Communities of Practice -- The Survey Design -- The Sample -- Analysis and Testing -- How to Form and Operate Communities of Practice (CoPS) -- The Knowledge Management Function -- Types of Communities of Practice -- Manager-Run Formal CoPs -- CoPs for New Product Ideas -- CoPs for Innovation (CoInv) -- CoPs for New Working Practices -- Setting up CoPs -- CoPs Will Develop Innovation if Change Is Normal in Organization -- Make Working in a CoP an Expected Practice -- Let Employees Set Up Their Own CoPs -- Make Working in CoP a Normal Practice -- Management Set CoPs Work Against CoP Goals -- Set Expectations for CoPs -- Expect CoPs to Enhance Individual Knowledge -- Link Sharing of Knowledge with Rewards -- Have a Policy That Rewards Knowledge Sharing -- Have Knowledge-Sharing Training and Events -- Offer a Range of Rewards -- Provide a Formal KM Structure to Assist CoPs -- Support CoPs with Resources -- Let Employees Bid for Resources for Their CoPs -- Allow Collaboration with Other Organizations -- Operational Recommendations -- Let CoPs Partner -- Let CoPs Develop a Working Language -- Formal CoPs -- Conclusion -- References -- Airport Technology Management -- Introduction -- Airport Management -- Airport Information Management -- Computational Modeling and Simulation in Airport Passenger Information System Development -- Airport Technology Management -- Conclusion -- References -- Innovation and Implementation of Climate-Related Energy-Efficient Building Design in India -- Introduction. Climate-Related State of the Art in Energy-Efficient Buildings -- Population Growth in India and Energy Demand -- Growing Awareness of Energy Efficiency in India -- Education and Training in Energy Efficiency -- Research and Development in Energy-Efficient Buildings -- User Survey on Energy Consumption in Living -- References -- Between Collaboration and Competition in Modern Technology Management and Innovation -- Executive Summary -- New Business Models Require New Responses -- The Traditional Scope of Innovation Management and the Need for Profitable Business Models -- Open Innovation -- Crowdsourcing and Social Media Creation -- M2X, Self-Managing Intelligent Environments, and Cyber-Physical Systems -- Cloud and Mobile Computing -- Governance: Power, Con icts, and In uence -- Enabling Collaboration and Teams with Technology and a Culture of Encouragement -- Summary -- Sources -- Trademarks -- Prof. Peter Sachsenmeier -- Understanding S ocial Business -- Introduction -- Trends in Technology, Society, and Organizations -- Digital Positivism (Adapted from Vatrapu et al. 2008) -- Brand Panopticon (Based on Civic Panopticon in Vatrapu et al. 2008) -- Concomitant Convergence -- Design: Local, Social, and Mobile -- Media: Owned, Paid, and Earned -- Interactions: My Place, Your Place, and Our Place -- Scorecards: People, Planet, and Profit -- Social Business -- Social Media Engagement (smE) -- Social Media Analytics (smA) -- Social Media Management (smM) -- Social Media and Comparative Advantages: The Relational View of the Firm -- Social Media and Innovation: Absorptive Capacity -- Discussion -- Socially Connected Organizations: A Research Proposal -- Socially Connected Organizations: Research Questions -- Socially Connected Organizations: Scientific Objectives -- Socially Connected Organizations: Organizational and Societal Objectives -- References. Technologies for Sustainable Development: Korean Experience -- Introduction -- Sustainable Development and Globalization -- Sustainable Development: Dimensions and Areas -- Innovation Ecosystem for Technology Development -- Korean Technologies for Sustainable Development Areas -- Water Purifier Technology -- Sewage and Wastewater Treatment Technology -- ICT and Robotics in Rural Education -- Plasma-Enhanced Integrated Gasification Combined Cycle (PE-IGCC) Technology -- Solar Lighting System -- Education-Enterprise Framework for Emerging Economics -- Korean Experience in Technology Development and Management -- Conclusions -- References -- Multiagent Coordination Enabling Autonomous Logistics -- Logistics Requirements -- Multiagent-Based Approach -- Application and Evaluation -- Bibliography -- Managing Technologies for Defense -- Introduction -- Technology Watch -- India's Unique Ecosystem -- Independent and Powerful Players -- Driving Needs -- Technology for the Country and Security for the Nation -- Defense Technologies and Employment -- World-Class Defense Products -- Breakthroughs in Mass Production -- Technology: Hard and Soft -- DIAT and Technology Management -- Case Studies -- Conclusion -- Acquiring Gilead Sciences as a Proposed Strategy for Merck & Co. Growth -- Introduction -- Critical Issues -- Recommended Strategy -- Justification -- Implementation Plan -- Analysis of Environmental Threats and Opportunities Profile -- Procedures for Collecting Data -- Results -- Conclusions -- References -- Index. Technology is the key driver of business, may it be airports, ICT , smart governance, manufacturing or plantations. This book examines technology management across many different sectors, highlighting complexities, uncertainties and risks. 9788132217169 print version oai:cds.cern.ch:2283375 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1083433 ebook ebook EBL Information technology -- Management XX SzGeCERN EBL201709 BOOK n 201736 201709 21 PUBLIC BOOK DELETED 2283372 SzGeCERN 20180120020730.0 9781461452669 (electronic bk.) electronic version 9781489991867 electronic version EBL 1030898 eng HF4999.2-6182 621.31 Noam, Eli M Broadband networks, smart grids and climate change New York, NY Springer 2015 246 p Broadband Networks, SmartGrids and Climate Change -- Contents -- Part I: Introduction -- Chapter 1: Introduction -- Interdisciplinary Perspectives on Smart Grid Developments -- National Energy and Broadband Plans -- Smart Grid Business Strategies -- Policy and Regulatory Issues -- References -- Part II: Interdisciplinary Perspectives on Smart Grid Developments -- Chapter 2: Smart Metering, Smart Grids, Smart Market Design -- Chapter 3: Broadband ICT and Smart Grids: A Win-Win Approach -- Introduction -- From the Grid to the "Smart" Grid -- Smart Grid: Ways of Promoting Synergies and Faster Rollout -- Standards State of the Art -- The Smart Metering Case -- The ICT and TLC Reference Architecture for the Smart Grid -- Conclusions -- References -- Chapter 4: Greener and Smarter: Information Technology can Improve the Environment in Many Ways -- What are "Green ICTs"? -- The Three Levels of ICT Impacts on the Environment -- What can we Conclude for Governments? -- Chapter 5: From Carbon to Clean-How to Attract Investment in Smart Grid Infrastructures -- Chapter 6: Mining Big Data to Transform Electricity -- Pecan Street -- Beyond the Quarter Hour Interval -- Data Correlations -- Visualization -- Beyond Pecan Street -- Data for Good -- References -- Chapter 7: Direct and Indirect Effects of Mobile Networks on CO 2 Emissions: A German Case Study -- Introduction -- Information and Communication Technologies and Greenhouse Gas Emissions -- Electricity Consumption of Mobile Networks: the Direct Environmental Impact -- Global Impact of Mobile Networks -- Electricity Use and Carbon Footprint of Mobile Networks in Germany -- Status of Mobile Networks in Germany -- Electricity Consumption in the Access Networks -- Options to Reduce CO 2 Emissions -- Relevance of the Regulatory Framework -- Relevance of Competitive Strategies. Technical Measures to Reduce Consumption of Electricity -- The Enabling and Systemic Effect: Mobile Enabled Application -- Wireless Technologies and Smart Grids -- Mobile Networks and Logistics -- Summary and Outlook -- References -- Part III: National Energy and Broadband Plans -- Chapter 8: Broadband's Role in Smart Grid's Success: Seven Jurisdictional Challenges -- Do All Parties Have the Same Mission in Mind? -- How Can Regulators Carry Out Multidisciplinary Initiatives Under Single-Purpose Statutes? -- Can Our Divided Regulatory System Shape Smart Grid Policy? -- The FCC's Goals -- Access to Consumer Data -- Ef ciency-Oriented Retail Ratemaking -- Communications Network Objectivity -- State-Federal Jurisdictional Questions -- Can Regulators Win Acceptance of Long-Term Investments When Consumers Insist on Keeping Rates Low? -- Four Obstacles: Blurred Mission, Lulled Customers, Skeptical Public, Utility Hesitance -- Five Regulatory Responses: Management Effectiveness, Regulatory Resources, Cost Recovery Commitment, Rate Design, Political Leadership, Communication -- How Can Regulators Induce Utility Innovation? -- Seven Obstacles on the Path to Performance 28 -- Five Ways to Reach a Better Balance -- How Can Regulators Induce Utility Evenhandedness When the Utility Has Incentive and Opportunity to Exploit Its Special Status? -- How Might Regulators Produce Acceptance of the Smart Grid's Public Interest Prerequisites? -- Conclusion -- Chapter 9: A Smart Future? The EU Digital Agenda Between Broadband, the Grid and Energy Ef ciency -- The Digital Agenda for Europe -- Every European Digital: Building the Broadband Highways -- Financing Smart Infrastructure in Europe -- The "Green Chapter" of the Digital Agenda -- ICT for Energy Ef ciency v. a More Ef cient ICT -- Smart Grids -- Smart Metering -- Smart Policy-Making -- Breaking-up Policy Silos. Empowering Digital Consumers -- Going Local -- The Potential for Transatlantic Cooperation -- Chapter 10: Germany's Transition Toward an Energy System Based on Renewable Resources: An Overview -- Transition to Renewable Energy Sources: A Brief Introduction to Germany's Energy Market -- Power Supply-Germany's Electricity Generation -- Power Demand-Germany's Electricity Consumption -- Electricity Trading and Markets in Germany -- Regulatory Framework -- Liberalization: "Unbundling" of the Incumbent Monopolists -- Incentivizing the Generation of Electricity from Renewable Energy Sources -- Broadband Penetration in Germany: Current Status and Public Objectives -- Transition to Smart Grid Infrastructure-The Case of Germany -- Necessity for a Smart Grid -- Political Support for a Smart Grid Infrastructure: E-Energy-Smart Grids Made in Germany -- The Funding Program -- Preliminary Results -- Program Spillovers in Education -- Summary -- References -- Part IV: Smart Grid Business Strategies -- Chapter 11: U.S. Energy Ecosystem: Entering a New Era? -- Importance of Energy Ef ciency: Essential Component of a Sustainable Energy Ecosystem -- Passive Consumption and Lack of Engagement with the Electricity System: Current State of Play -- FERC Orders 719 and 745: Enter a New Dawn for the Electric Grid -- Broadband and Information Technology: Providing a Platform for Energy Services Innovation -- Conclusion -- Chapter 12: Challenges for Business Development in the Field of Smart Grids* -- Introduction -- Related Literature -- Decentralized Electricity Storages -- Smart Metering -- Theoretical Framework -- Method and Procedure -- Sample -- Data Collection -- Data Analysis -- Analysis of External Effects, Diffusion of Smart Grid Components, and Stakeholders' Strategies -- External Effects Regarding Smart Meters. Discussion of Social Bene ts of a Widespread Use of Smart Meters -- Private Bene ts and Costs Related to Smart Metering -- External Effects Regarding Decentralized Electricity Storages -- Discussion of Social Bene ts of a Widespread Use of Decentralized Electricity Storages -- Private Bene ts and Costs Related to Decentralized Electricity Storage -- Diffusion of Smart Grid Components and Changing Business Models -- Measures to Foster Diffusion of Smart Grid Components -- Stakeholders' Strategies and Business Development -- Discussion and Conclusion -- References -- Chapter 13: Toward Competitive and Innovative Energy Service Markets: How to Establish a Level Playing Field for New Entrants and Established Players?* -- Introduction -- Background -- Bottleneck Regulation -- Liberalized Electricity Markets' Operating Principle -- Smart Grid Architecture -- Potential Bottlenecks -- Potential Regulatory Instruments -- Meter Data and Interoperability -- AMI -- Discussion and Conclusion -- References -- Part V: Policy and Regulatory Issues -- Chapter 14: Broadband Networks and Smart Grid: How Do We Build a Better Tomorrow? -- Privacy and Smart Grid -- Privacy Fundamentals -- Federal Privacy Act of 1974 -- Transparency Is Key to Privacy -- Smart Grid and Privacy -- Disclosure of Private Facts or the Details of Activities within Homes or Businesses -- Identity Theft -- Personal Surveillance -- Energy Use Surveillance -- Physical Dangers -- Misuse of Data -- Cyber Security and Privacy -- Smart Grid Privacy and Cyber Security -- Possibility of Signi cant Privacy Harms Posed by Wireless Smart Grid Applications -- Recommendations -- Conclusion -- Chapter 15: Energy Smart Metering Diffusion and Policy Issues -- Introduction -- ICT and Climate Change -- Smart Grid and Smart Metering -- Bene ts from Smart Metering -- Increasing Consumer Awareness. Fostering Retail Competition -- Offering Real-Time Pricing -- Integrating Renewable Energy -- Obstacles to Large Scale Implementation of Smart Meters 3 -- Technical and Organizational Obstacles -- Lack of Standardization -- Personal Data Protection -- Uncertainly in the Development in the Supporting Data Infrastructure -- Economic and Regulatory Obstacles -- Regulated or Liberalized Meter Market? -- Operator Incentives for Demand Side Management -- Meters are Expensive to Replace -- Low Tolerance for Errors: Disincentive to be a « First Mover » -- Behavioural and Informational Obstacles -- Lack of Energy Management Skills, Reduces the Propensity to use Green ICT -- Lack of Awareness About the Economic and Energy-Related Savings -- Meter Ownership -- Option 1: Exclusive Provision of Smart Metering Infrastructure, with Settlement Data Management Competition -- Option 2: Competition in the Provision of Meters and Meter Data Management Services -- Policy Issues and Case Study of the E-Cube Project in Italy -- Smart Meters Policy in UE -- The EU Legislative Initiatives Related to Smart Metering -- Policy Assessment for the Adoption of Smart Meters -- Cost Bene t Analysis and Policy Prescriptions: The Case Study of the E-Cube Project -- General Framework for Analysis: From First to Second Generation of Smart Meters -- Conclusion -- References -- Chapter 16: SCADA for the Rest of Us: Unlicensed Bands Supporting Long-Range Communications -- Introduction -- Usage Scenarios -- Small and Medium Enterprise -- Local Government -- Discussion -- Requirements Analysis -- Limitations of Mobile Data Networks -- Limitations of Current Unlicensed Bands -- Potential Use of TV White Spaces -- Deployment Scenarios -- Dual-Path Deployment -- The Case for Unlicensed Spectrum -- A New Controlled Access Unlicensed Band. Evaluating Increased Regulatory Control of New Unlicensed Bands. Noted scholars and professionals from the energy and telecommunications businesses explain in this volume how the convergence of broadband services and responsive 'smart' energy grids could help to mitigate climate change and boost corporation profits. Pupillo, Lorenzo Maria Kranz, Johann J 9781489991867 print version oai:cds.cern.ch:2283372 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1030898 ebook ebook XX SzGeCERN EBL201709 BOOK n 201736 201709 21 PUBLIC BOOK DELETED 2283366 SzGeCERN 20210421210418.0 9789400704022 print version 9789400704039 electronic version electronic version oai:cds.cern.ch:2283366 cerncds:BOOK EBL 971963 eng GB3-5030 538.7 Basavaiah, Nathani Geomagnetism solid Earth and upper atmosphere perspectives Dordrecht Springer 2011 501 p ebook Title Page -- Copyright Page -- FOREWORD -- PREFACE -- Table of Contents -- ABBREVIATIONS -- 1 THE HISTORICAL DEVELOPMENT OF (GEO) MAGNETISM -- 1.1 GLOBAL SCENE -- I. Problem of Latitude and Longitude -- II. Magnetic Compass-Declination and Inclination -- III. Advent of William Gilbert -- IV. Ordeal of Edmund Halley and Atlantic Declination Map -- V. Geomagnetic Field Intensity -- 1.2 FUNDAMENTAL SIMILARITY BETWEENELECTRICITY AND MAGNETISM -- I. Serendipity of Hans Christian Oersted -- II. Andre Marie Ampere Solves the Puzzle -- III. Genius of Michael Faraday -- IV. Faraday's Experiment -- V. Maxwell's Equations -- VI. Contributions of Humboldt, Gauss and Weber -- 1.3 HISTORICAL PERSPECTIVE: NATIONAL SCENEAGAINST GLOBAL BACKDROP -- I. First Few Magnetic Observatories in India -- II. Colaba-Alibag Observatory -- 1.4 GEOMAGNETIC FIELD ELEMENTS AND THEIRMEASUREMENTS -- I. Existence of Earth's Magnetic Field -- II. Units of Measurement -- III. Geomagnetic Elements and Earth's Magnetic Field -- IV. What is a Magnetic Observatory Setup? -- V. Earth's External Field -- APPENDIX 1.1 -- Tesla -- 2 INTERNAL MAGNETIC FIELD -- 2.1 INTERIOR OF THE EARTH AND PHYSICALPROPERTIES -- I. Temperatures -- II. Pressures -- III. Density and Gravity -- IV. Elastic Wave Velocities -- V. Electrical Conductivities and Mineralogy -- 2.2 EARTH STRUCTURE AND ITS MAJOR DIVISIONS -- I. Crust of the Earth -- II. Mantle of the Earth -- III. Core of the Earth -- 2.3 MAGNETISM IN MATTER AND MAGNETICPROPERTIES -- I. Diamagnetic Materials -- II. Paramagnetic Materials -- III. Ferromagnetic Materials -- IV. Ferrimagnetism and Antiferromagnetism -- V. Superparamagnetism -- 2.4 CURIE AND NEEL TEMPERATURE -- 2.5 ROCK FORMING MAGNETIC MINERALS AND ROCKMAGNETISM -- I. Iron Oxides and Magnetic Properties -- II. Iron Sulphides and Magnetic Properties. III. Iron Hydroxides, Oxyhydroxides and Their MagneticProperties -- 2.6 HYSTERESIS LOOP -- 2.7 MAGNETIC MATERIALS, DOMAIN STATES ANDGRAIN SIZES -- I. Domain Formation -- II. Domain Status and Critical Grain Sizes -- III. Relaxation Time -- IV. Magnetic Grains of Magnetite -- V. Bulk Magnetic Properties -- VI. Remanence Acquisition and Temporal Scales -- VII. Alternating Field (AF) Demagnetization -- 2.8 GENESIS OF EARTH'S MAGNETIC FIELD AND ITSDYNAMO EFFECT -- I. Geodynamo: Models and Mechanisms -- II. Magnetic Fields in Extraterrestrial Bodies -- 2.9 WEGENER AND CONTINENTAL DRIFT -- 2.10 PALAEOMAGNETISM: AN INDIRECT MEASUREMENT OF PAST GEOMAGNETIC FIELD -- I. First Reports of Magnetic Reversals: An Unexpected Bonus -- II. Fisher's Statistics, Approximation of Geocentric Axial Dipole -- III. Apparent Polar Wander Path and Confirmation ofContinental Drift -- IV. Polarity Reversals and Mechanism of Self-Reversal -- 2.11 MECHANISM OF MAGNETIC BANDING -- 2.12 PLATE TECTONICS AND SEISMOTECTONICS -- APPENDIX 2.1 -- APPENDIX 2.2 -- APPENDIX 2.3 -- 3 MAGNETIC FIELD THAT EXTENDS INTO SPACE -- 3.1 STRUCTURE OF THE EARTH'S ATMOSPHERE: TRADITIONAL VIEW -- 3.2 STRUCTURE OF THE SUN: ASSOCIATION OF SUNSPOTS WITH TERRESTRIAL PHENOMENA -- 3.3 STRUCTURE OF MAGNETOSPHERE -- 3.4 SOURCES OF ELECTRIC FIELDS -- 3.5 RADIO WAVES: SCINTILLATION -- APPENDIX 3.1 -- APPENDIX 3.2 -- 4 TECHNIQUE OF MAGNETIC MEASUREMENTS -- I. Instruments in Early Navigation and Science -- II. Torsion Balance -- III. Magnetometers -- 4.1 MAGNETOMETERY FOR GEOMAGNETIC OBSERVATORIES -- I. Classic Semi-absolute Instruments -- II. Classic Variometers -- III. Vector Proton Precession Magnetometer (VPPM) -- IV. Helmholtz Coil System -- V. Proton Precesssion Magnetometer -- VI. Fluxgate Magnetometer -- VII. Indian Scenario -- 4.2 MAGNETIC SURVEY INSTRUMENTS: FLUXGATE AND INDUCTION MAGNETOMETERS. I. Geomagnetic Depth Sounding (GDS) Measurement -- II. Magnetotelluric (MT) Surveys -- III. Ocean Bottom Magnetometer (OBM) Surveys -- IV. Induction Coil Magnetometer -- 4.3 LABORATORY MAGNETIC INSTRUMENTS -- I. Sampling -- II. Astatic Magnetometer -- III. Spinner Magnetometer -- IV. Cryogenic Squid Magnetometer -- V. Alternating Field and Thermal Demagnetizers -- VI. Rock- and Environmental-magnetic Instrument Kit -- 5 MAGNETIC OBSERVATORIES AND DATA ANALYSIS -- I. Overview and Observatory Characteristics -- II. Magnetic Observatories in India -- III. Indian Observatories: Automation -- IV. Observatory Data: Services -- 5.1 MEASUREMENT AND DATA -- I. Solar Terrestrial Effects from Observatory -- II. Observatory Data Based Investigation -- III. Temporal Variation of Geomagnetism Spectrum -- 5.2 GEOMAGNETISM AND SECULAR VARIATION -- I. Long-period Variations of Internal Geomagnetic Field -- II. Short-period Variations of External Geomagnetic Field -- 5.3 CAUSES OF GEOMAGNETIC FIELD VARIATION:EXTERNAL ORIGIN -- I. Quiet Time Variation and the Ionosphere -- II. Lunar (L) Variations and Magnetic Field -- III. Sq Day Variation near Focus of Current System -- IV. Sq (H) Variation and Seasonal Parameters -- V. Sq (D) Variation and Seasonal Parameters -- 5.4 EQUATORIAL ENHANCEMENT AND GEOMAGNETICFIELD VARIATIONS -- I. Equatorial Electrojet -- II. Counter Electrojet -- III. Equatorial Electrojet and Induced Effects -- IV. Equatorial Electrojet and Seasonal Parameters -- V. Longitudinal Inequalities of Equatorial Electrojet -- VI. EEJ Phenomena using Oersted Observations -- 5.5 GEOMAGNETIC STORMS AND THEMAGNETOSPHERE -- I. Indices of Geomagnetic Activity -- II. Geomagnetic Storms -- III. Long-period Oscillations of External Origin -- IV. Energy Budget of Geomagnetic Storms -- V. Dependence of Main Phase Interval -- 6 SOLID EARTH GEOMAGNETISM. 6.1 GEOPOTENTIAL FIELD ANOMALY STUDIES -- I. Sources of Regional Anomalies -- II. Anomaly Contour Maps -- III. Geopotential Problems -- IV. Ground, Aero and Satellite Magnetic Surveys -- 6.2 SATELLITE MEASUREMENTS OF EARTH'S GRAVITY FIELD -- I. Satellite Free-air Gravity Anomaly Maps -- II. Ambiguity in Gravity Interpretation -- III. Qualitative Interpretation of Satellite GravityAnomaly Maps -- IV. Anomalous Satellite Gravity over Himalayas and ItsIsostatic Compensation -- V. Preparation of Residual Free-air Anomaly Map -- VI. Residual Free-air Gravity Anomaly Map andTectonic Implications -- VII. Residual Bouguer Gravity Anomaly Map andCrustal Thickness -- 6.3 SATELLITE MEASUREMENTS OF THE EARTH'SMAGNETIC FIELD -- I. Regional Magnetic Anomaly Map -- II. Magnetic Anomaly through Magsat -- III. Data Processing -- IV. Isolation of Crustal Origin Components and Reduction of Data -- V. A Tricky Magnetic Interpretation -- VI. Correctness of Anomaly Maps: Forward Modelling -- VII. Ridge Regression in Inversion of Low Latitude Magnetic Anomalies: Crustal Magnetization Map -- VIII. Geological Interpretation of Magnetization Maps -- IX. Tectonic-anomaly between Magnetization and Residual Gravity -- 6.4 AIR-BORNE MAGNETIC SURVEYS -- I. Survey Objectives -- II. Quality Control -- III. Aeromagnetic Survey Operations and Processes -- IV. Data Display and Interpretation -- V. Geological Correlations of Crustal Magnetic Anomaly -- VI. Aeromagnetic Interpretation -- 6.5 NATIONAL GROUND MAGNETIC SURVEYS -- I. Data Acquisition and Total Field Anomaly Map -- II. Data Reduction and Processing -- III. Qualitative Interpretation of Anomaly Trends: Tectonic Features -- IV. Tectonic Correlations between Magsat and Ground Anomalies -- 6.6 GROUND MAGNETIC SURVEYS -- I. Plan of Conducting Ground Magnetic Surveys -- II. Surveyed Areas and Frontier Sedimentary Basins. III. Reduction of Ground Magnetic Observations -- IV. Transformation and Interpretation of Magnetic Anomalies -- 6.7 ELECTROMAGNETIC (EM) INDUCTION METHODS -- 6.8 BASIC METHOD OF EM INDUCTION -- I. Earth's Natural EM Field -- II. Principle of EM Method and Relations between Primary and Secondary Fields -- III. Determination of Nature of Conductivity (High/Low) of EM Anomalies -- IV. EM Depth Sounding -- V. Advantages of EM Sounding Method -- VI. EM Data Interpretation -- 6.9 GEOMAGNETIC DEPTH SOUNDING (GDS) -- 6.10 METHODOLOGY, OBJECTIVES OF GDS TECHNIQUE -- I. GDS Survey Instruments -- II. Sounding the Earth Using Natural Geomagnetic Variations -- 6.11 ACQUISITION, ANALYSIS AND PRESENTATION OF GDS DATA -- I. GDS Data Acquisition -- II. Stack Plots -- 6.12 DATA PROCESSING TECHNIQUES -- I. Fourier Transform Maps -- II. Transfer Functions -- III. Parkinson's Induction Vectors -- IV. Complex Demodulation -- V. Hypothetical Event Analysis -- VI. Thin Sheet Modelling and Island Effect -- 6.13 GDS FIELD SURVEYS -- 6.14 MAGNETIC VARIATION MAPPING EXAMPLES -- I. Conductive Bodies below the Himalayas -- II. Conductance and Seismicity in Central and Western Parts of India -- III. South Indian Offshore Conductivity Anomaly -- IV. Determining Electrical Conductivity from MO Data -- 6.15 OCEAN BOTTOM MAGNETOMETER STUDIES -- 6.16 OBM FIELD EXAMPLES -- I. Conductivity (Resistivity) below Arabian Sea and Bay of Bengal -- II. Barren Island Volcanism -- 6.17 MAGNETOTELLURIC SURVEYS -- 6.18 METHODOLOGY, DATA ACQUISITION AND TIME SERIES PROCESSING -- I. Basic Method of MT and Time Series Data Processing -- II. MT Data Collection and Penetration Depth -- III. Instrumentation and Field Technique -- IV. Basic Theory -- V. MT Data Interpretation -- 6.19 PRINCIPLE OF MT METHOD AND ITS UTILITY -- 6.20 APPLICATIONS OF MT IN GEOPHYSICAL PROSPECTING. I. Geoelectrical Structure below the Dharwar Craton. This volume elaborates several important aspects of solid Earth geomagnetism. It covers all the basics of the subject, including biomagnetism and instrumentation, and offers a number of practical applications with carefully selected examples and illustrations. EBL201709 XX SzGeCERN EBL Atmosphere, Upper BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_971963 ebook n 201736 21 PUBLIC https://catalogue.library.cern/legacy/2283366 BOOK MIGRATED 2283331 SzGeCERN 20190626205915.0 9780387094168 (electronic bk.) electronic version 9780387094151 electronic version 9780387094151 print version oai:cds.cern.ch:2283331 cerncds:BOOK EBL 417331 eng TA401-492 539.7 Liang, Liyuan Neutron applications in earth, energy and environmental sciences Boston, MA Springer 2009 640 p ebook Neutron scattering applications and techniques Preface -- Contents -- Contributors -- 1 Neutron Applications in Earth, Energy, and Environmental Sciences -- Romano Rinaldi, Liyuan Liang, and Helmut Schober -- 2 Neutron Scattering---A Non-destructive Microscope for Seeing Inside Matter -- Roger Pynn -- 3 Neutron Scattering Instrumentation -- Helmut Schober -- Part I Applications: Earth Sciences -- 4 Structural and Magnetic Phase Transitionsin Minerals: In Situ Studies by Neutron Scattering -- Simon A. T. Redfern and Richard J. Harrison -- 5 Inelastic Neutron Scattering and Lattice Dynamics: Perspectives and Challenges in Mineral Physics -- Narayani Choudhury and Samrath Lal Chaplot -- 6 A Microscopic View of Mass Transport in Silicate Melts by Quasielastic Neutron Scattering and Molecular Dynamics Simulations -- Andreas Meyer, Florian Kargl, and Jürgen Horbach -- 7 Neutron Diffraction Studies of Hydrous Minerals in Geosciences -- Hermann Gies -- 8 Studies of Mineral--Water Surfaces -- Nancy L. Ross, Elinor C. Spencer, Andrey A. Levchenko, Alexander I. Kolesnikov, David J. Wesolowski, David R. Cole, Eugene Mamontov, and Lukas Vlcek -- 9 Neutron Diffraction and the Mechanical Behavior of Geological Materials -- Stephen J. Covey-Crump and Paul F. Schofield -- 10 The Contribution of Neutron Texture Goniometry to the Study of Complex Tectonics in the Alps -- Jan Pleuger, Nikolaus Froitzheim, Jan F. Derks, Walter Kurz, Jan Albus, Jens M. Walter, and Ekkehard Jansen -- 11 Neutron Imaging Methods and Applications -- Eberhard H. Lehmann -- Part II Applications: Energy -- 12 Vibrational Dynamics and Guest--Host Coupling in Clathrate Hydrates -- Michael M. Koza and Helmut Schober -- 13 Applications of Neutron Scattering in the Chemical Industry: Proton Dynamics of Highly Dispersed Materials, Characterization of Fuel Cell Catalysts, and Catalysts from Large-Scale Chemical Processes. Peter W. Albers and Stewart F. Parker -- 14 Hydrogen and Hydrogen-Storage Materials -- Milva Celli, Daniele Colognesi, and Marco Zoppi -- 15 Lithium Ion Materials for Energy Applications: Structural Properties from Neutron Diffraction -- Michele Catti -- Part III Applications: Environment -- 16 Application of Neutron Reflectivity for Studies of Biomolecular Structures and Functions at Interfaces -- Alexander Johs, Liyuan Liang, Baohua Gu, John F. Ankner, and Wei Wang -- 17 Pollutant Speciation in Water and Related Environmental Treatment Issues -- Gabriel J. Cuello, Gabriela Román-Ross, Alejandro Fernández-Martínez, Oleg Sobolev, Laurent Charlet, and Neal T. Skipper -- 18 Clay Swelling: New Insights from Neutron-Based Techniques -- Isabelle Bihannic, Alfred Delville, Bruno Demé, Marie Plazanet, Frédéric Villiéras, and Laurent J. Michot -- 19 Structure and Dynamics of Fluids in Microporous and Mesoporous Earth and Engineered Materials -- David R. Cole, Eugene Mamontov, and Gernot Rother -- 20 The Combined Ultra-Small- and Small-Angle Neutron Scattering (USANS/SANS) Technique for Earth Sciences -- Roberto Triolo and Michael Agamalian -- 21 Biosynthesis of Magnetite by Microbes -- Sarah S. Staniland, Bruce Ward, and Andrew Harrison -- Index. This text is a comprehensive overview of neutron scattering techniques that enhance the study of materials at the micro and nanoscale. The well structured volume provides introductions to various neutron applications from leading experts in the field. EBL201709 XX SzGeCERN EBL Electronic books -- local EBL Environmental sciences -- Methodology EBL Neutrons -- Diffraction BOOK Rinaldi, Romano Schober, Helmut https://cds.cern.ch/auth.py?r=EBLIB_P_417331 ebook n 201736 21 PUBLIC BOOK DELETED 2283297 SzGeCERN 20210421210428.0 9780387476803 print version 9780387476810 electronic version electronic version oai:cds.cern.ch:2283297 cerncds:BOOK EBL 338117 eng TA1-2040 530 Bejan, Adrian Constructal theory of social dynamics Boston, MA Springer 2007 366 p ebook Pages:1 to 25 -- Pages:26 to 50 -- Pages:51 to 75 -- Pages:76 to 100 -- Pages:101 to 125 -- Pages:126 to 150 -- Pages:151 to 175 -- Pages:176 to 200 -- Pages:201 to 225 -- Pages:226 to 250 -- Pages:251 to 275 -- Pages:276 to 300 -- Pages:301 to 325 -- Pages:326 to 350 -- Pages:351 to 366. Combines for the first time theories of general physics and applies them to social sciencesOffers a new way to look at social phenomena as part of natural phenomenaA new domain of application of engineering such as thermodynamic optimization, thermoeconomics and "design as science"Discusses how the "flow architectures" of natural sciences are also found in social situationsBoth classes are covered by the same principle (the constructal law)First work to show that the concept of "efficiency" of engineering has a home in physics and social sciencesThe constructal law theory puts a scientific principle behind the major challenges of today and the future: sustainable development, energy sufficiency, equilibria between human settlements and environmental ecosystems, optimal allocation, optimal distribution of finite resources, etc. EBL201709 XX SzGeCERN EBL Electronic books -- local EBL Physics -- Social aspects EBL Social sciences BOOK Merkx, Gilbert W https://cds.cern.ch/auth.py?r=EBLIB_P_338117 ebook n 201736 21 PUBLIC https://catalogue.library.cern/legacy/2283297 BOOK MIGRATED 2283275 SzGeCERN 20210421210432.0 9780387444345 print version 9780387444390 electronic version electronic version oai:cds.cern.ch:2283275 cerncds:BOOK EBL 324251 eng GE1-350 526.0285 Myers, Wayne L Pattern-based compression of multi-band image data for landscape analysis Boston, MA Springer 2006 199 p ebook Environmental and ecological statistics 2 Pages:1 to 25 -- Pages:26 to 50 -- Pages:51 to 75 -- Pages:76 to 100 -- Pages:101 to 125 -- Pages:126 to 150 -- Pages:151 to 175 -- Pages:176 to 199. This book describes an integrated approach to using remotely sensed data in conjunction with geographic information systems for landscape analysis. Remotely sensed data are compressed into an analytical image-map that is compatible with the most popular geographic information systems as well as freeware viewers. The approach is most effective for landscapes that exhibit a pronounced mosaic pattern of land cover. The image maps are much more compact than the original remotely sensed data, which enhances utility on the internet. As value-added products, distribution of image-maps is not affected by copyrights on original multi-band image data. EBL201709 XX SzGeCERN EBL Electronic books -- local EBL Landscape ecology -- Data processing EBL Landscape ecology -- Remote sensing BOOK Patil, Ganapati P https://cds.cern.ch/auth.py?r=EBLIB_P_324251 ebook n 201736 21 PUBLIC https://catalogue.library.cern/legacy/2283275 BOOK MIGRATED 2283232 SzGeCERN 20180317013931.0 9784431293613 (electronic bk.) electronic version 9784431260745 electronic version EBL 264819 eng QH301-705 621.3815 Kohyama, Takashi Forest ecosystems and environments scaling up from shoot module to watershed Tokyo Springer 2005 157 p Preliminary -- Plant responses to elevated CO2 concentration at different scales: leaf, whole plant, canopy, and population -- Abies population dynamics simulated using a functional-structural tree model -- Estimation of aboveground biomass and net biomass increment in a cool temperate forest on a landscape scale -- Dynamics, productivity and species richness of tropical rainforests along elevational and edaphic gradients on Mount Kinabalu, Borneo -- Pattern of changes in species diversity, structure and dynamics of forest ecosystems along latitudinal gradients in East Asia -- Local coexistence of tree species and the dynamics of global distribution pattern along an environmental gradient: a simulation study -- Scaling up from shifting-gap mosaic to geographic distribution in the modeling of forest dynamics -- CO2 exchange in a temperate Japanese cypress forest compared with that in a cool-temperate deciduous broad-leaved forest -- Carbon cycling and budget in a forested basin of southwestern Hokkaido, northern Japan -- Seasonal variation in stomatal conductance and physiological factors observed in a secondary warm-temperate forest -- Biogeochemical and hydrological controls on carbon export from a forested catchment in central Japan -- Dissolved organic carbon and nitrate concentrations in streams: a useful index indicating carbon and nitrogen availability in catchments -- The production-to-respiration ratio and its implication in Lake Biwa, Japan -- Dynamics of methane in mesotrophic Lake Biwa, Japan -- Back matter. Coastal East and Southeast Asia are characterized by wet growing seasons, and species-rich forest ecosystems develop throughout the latitudinal and altitudinal gradients. In this region, the Global Change Impacts on Terrestrial Ecosystems in Monsoon Asia (TEMA) project was carried out as a unique contribution to the international project Global Change and Terrestrial Ecosystems. TEMA aimed to integrate forest ecosystem processes, from leaf physiology to meteorological budget and prediction of long-term change of vegetation composition and architecture through demographic processes. Special attention was given to watershed processes, where forest ecosystem metabolism affects the properties and biogeochemical budgets of freshwater ecosystems, and where rivers, wetlands, and lakes are subject to direct and indirect effects of environmental change. This volume presents the scaling-up concept for better understanding of ecosystem functioning. Canadell, Josep Ojima, Dennis S 9784431260745 print version oai:cds.cern.ch:2283232 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_264819 ebook ebook EBL Electronic books -- local EBL Forest ecology -- East Asia XX SzGeCERN EBL201709 BOOK n 201736 21 PUBLIC BOOK DELETED 2283223 SzGeCERN 20210421210440.0 9780387246017 print version 9780387246024 electronic version electronic version oai:cds.cern.ch:2283223 cerncds:BOOK EBL 239733 eng HB71-74 519.32 Haurie, Alain Dynamic games theory and applications Boston, MA Springer 2005 286 p ebook GERAD 25th anniversary Preliminaries -- Foreword -- 1 Dynamical Connectionist Network and Cooperative Games -- 2 Direct Method for Open-Loop Dynamic Games for Affine Control -- 3 Braess Paradox and Properties of Wardrop Equilibrium -- 4 Production Games and Price Dynamics -- 5 Consistent Conjectures, Equilibria and Dynamic Games -- 6 Cooperative Dynamic Games with Iricomplete Information -- 7 Electricity Prices in a Game Theory Context -- 8 Efficiency of Bertrand and Cournot: A Two Stage Game -- 9 Cheap Talk, Gullibility, and Welfare in an Environmental Taxation Games -- 10 A Two-Timescale Stochastic Game Framework for Climate Change -- 11 A Differential Game of Advertising for National and Store Brands -- 12 Incentive Strategies for Shelf-space Allocation in Duopolies -- 13 Subgame Consistent Dormant-Firm Cartels. Dynamic games continue to attract strong interest from researchers interested in modeling competitive and conflict situations to study the behavior of players (decision-makers) and to predict the outcome of such situations in many areas including engineering, economics, management science, military, biology, and political science. This collection of articles by established researchers is an excellent reference covering a wide range of emerging and revisited problems in both cooperative and non-cooperative games. EBL201709 XX SzGeCERN BOOK Zaccour, Georges https://cds.cern.ch/auth.py?r=EBLIB_P_239733 ebook n 201736 21 PUBLIC https://catalogue.library.cern/legacy/2283223 BOOK MIGRATED 2282107 SzGeCERN 20210422083557.0 9783319560618 print version 9783319560625 electronic version electronic version DOI 10.1007/978-3-319-56062-5 e-proceedings oai:cds.cern.ch:2282107 cerncds:CONF eng TA401-492 23 620.11 20160719 2016 International Conference on Physics and Mechanics of New Materials and Their Applications Surabaya, Indonesia 19 - 22 Jul 2016 2016 surabaya20160719 ID PHENMA 2016 20160722 Cham Springer 2017 ebook Springer proceedings in physics 193 0930-8989 From the contents: Methods for Comprehensive Characterization of Radar Absorbing Materials -- Pump Control System using Microcontroller and Sort Message Service (SMS) Gateway for Flood Prevention -- Obtaining and Study Of Ptcu/C Electro-Catalyst -- Effect of an Electromagnetic Waves Scattering by Multiple Infinite Cylinders on Formation of Photonic Nanojet -- New Ge-Related Center in Nano- and Microcrystalline High-Quality HPHT Diamonds -- Dielectric Characteristics of Solid Solutions of  Binary System (1-х)BiFeO3-xPbTiO3 -- The Effect of Electroless Plating on Aluminum Metal Matrix Composite Reinforcement Bottom Ash Coal on the Density and Porosity for Propeller Applications -- Non-Thermal Effect of High-Voltage Nanosecond Pulses on Kimberlite Rock-Forming Minerals Processing -- The Behavior of the Elastic Properties in SBN:61 Single Crystal Doped with Cobalt at Changing of Sample Polarization Degree -- Stress Assessment for a Pipeline Segment with Volumetric Surf ace Defects Repaired Using Composite Materials -- Investigations of  the Capability to Heavy Metals Adsorption Humic Acids -- IMF Features of FP1 EEG Signal Using EMD Methods for Cerebral Palsy. This book presents 50 selected peer-reviewed reports from the 2016 International Conference on “Physics and Mechanics of New Materials and Their Applications”, PHENMA 2016 (Surabaya, Indonesia, 19–22 July, 2016). The Proceedings are devoted to processing techniques, physics, mechanics, and applications of advanced materials. As such, they examine a wide spectrum of nanostructures, ferroelectric crystals, materials and composites, as well as other promising materials with special properties. They present nanotechnology approaches, modern environmentally friendly piezoelectric and ferromagnetic techniques, and physical and mechanical studies of the structural and physical-mechanical properties of the materials discussed.  Further, a broad range of original mathematical and numerical methods is applied to solve various technological, mechanical and physical problems, which are inte resting for applications. Great attention is devoted to novel devices with high accuracy, longevity and extended possibilities to work in wide temperature and pressure ranges, aggressive media, etc., which show improved characteristics, defined by the developed materials and composites, opening new possibilities to study different physico-mechanical processes and phenomena. Physics and astronomy SPR201709 SzGeCERN Other Fields of Physics SPR Materials science SPR Electrochemistry SPR Semiconductors SPR Electronic circuits SPR Structural mechanics SPR Structural materials SPR Materials Science SPR Structural Materials SPR Circuits and Systems SPR Electronic Circuits and Devices SPR Structural Mechanics PROCEEDINGS CONFERENCE Parinov, Ivan ed. Chang, Shun-Hsyung ed. Jani, Muaffaq ed. Advanced materials : techniques, physics, mechanics and applications PHENMA 2016 Acronym 201709 SPR n 201735 42 PUBLIC https://catalogue.library.cern/legacy/2282107 PROCEEDINGS MIGRATED 2282073 SzGeCERN 20210421210508.0 9783319594880 print version 9783319594897 electronic version electronic version DOI 10.1007/978-3-319-59489-7 ebook oai:cds.cern.ch:2282073 cerncds:BOOK eng TD881-890 363.7392 23 Air pollution in eastern Asia an integrated perspective Cham Springer 2017 ebook ISSI scientific report series 16 Part I. General Perspective -- Overview of Persistent Haze Events in China -- An Overview of Air Quality Modeling Activities in South Asia -- Sources and Chemical Composition of Particulate Matter during Haze Pollution Events in China -- Photochemical Smog in Southern China: a Synthesis of Observations and Model Investigations of the Sources and Effects of Nitrous Acid -- Connection between East Asian Air Pollution and Monsoon System --  Part II. Sources of Air Pollution -- Anthropogenic Emissions in Asia -- Biomass Burning Sources in China -- Sources and Long-term Trends of Ozone Precursors to Asian Pollution -- Source Apportionment of Tropospheric Ozone by Chemical Transport Model: From Global to City Cluster -- Part III. Analysis of in-situ Measurements -- Real-Time Characterization of Aerosol Particle Composition during Winter High-Pollution Events in China -- Chemical Composition during Severe Haze Events in Northern China -- Spatial Distributions, Chemical Properties, and Sources of Ambient Particulate Matters in China -- Part IV. Space Observations -- Observation of Air Pollution in Asia using UV/Visible Space Sensors -- Observation of Air Pollution over China using the IASI Thermal Infrared Space Sensor -- Monitoring Aerosol Properties in East Asia from Geostationary Orbit : GOCI MI And GEMS -- Space Observation of Aerosols from Satellite over China during Pollution Episodes: Status and Perspectives -- Space Observations of Dust in East Asia -- Part V. Modeling -- Predicting Air Pollution in Eastern Asia -- Chemical Weather Forecasting for Eastern China -- Modelling assessment of atmospheric composition and air quality in Eastern and Southern Asia -- Chemical and Meteorological Feedbacks in the Formation of Intense Haze Events -- Impact of Urbanization on Regional Climate and Air Quality in China -- Part VI. Impacts of Air Pollution -- Surface PM2.5, Satellite AOD Distribution and Related Effects on Crop Production in China -- Research Perspectives on Air Pollution and Human Health in Asia. This book, written by an international group of experts from China, Europe and the USA, presents a broad and comprehensive analysis of the chemical and meteorological processes responsible for the formation of air pollutants in eastern Asia, and in particular for the development of severe pollution episodes observed primarily during winter in the northeastern part of China. With the rapid population growth, economic development and urbanization occurring in Asia, air pollution has become a major environmental problem in this part of the world. The book is organized around six distinct parts. The first part of the volume offers a general perspective on issues related to air pollution including persistent haze events in eastern and southern Asia. The second part presents an overview of air pollution sources (i.e., anthropogenic and biomass burning sources). The third part analyzes in-situ observations of chemical species in China, while the fourth part focuses on space observations of gas-phase and aerosol species. The modeling aspects are treated in the fifth part of the volume, which includes a presentation of several air quality forecast systems and an assessment of the role of urbanization on air pollution levels. Finally, the effects of air pollution on health and crop productivity in China are discussed in the last part of the book. The book also presents an integrated view of past and present situations in Asia and provides the scientific basis from which mitigation policies can be established and air quality can be improved. Audience: This book is written for scientists, educators, students, environmental managers, policy-makers and leaders in public administration and private corporations who wish to use science-based information to mitigate air pollution. The book should help decision-makers to design effective policies for air quality improvement and to successfully manage short-term air pollution episodes that substantially affect people’s quality of life and strongly impact the economy. . Physics and astronomy SPR201709 SzGeCERN Other Subjects SPR Environment SPR Environmental management SPR Sustainable development SPR Air pollution SPR Pollution prevention SPR Atmospheric ProtectionAir Quality ControlAir Pollution SPR Sustainable Development SPR Industrial Pollution Prevention SPR Environmental Management BOOK Bouarar, Idir ed. Wang, Xuemei ed. Brasseur, Guy ed. SPR n 201735 201709 21 PUBLIC https://catalogue.library.cern/legacy/2282073 BOOK MIGRATED 2282065 SzGeCERN 20210421210510.0 9783319572062 print version 9783319572079 electronic version electronic version DOI 10.1007/978-3-319-57207-9 ebook oai:cds.cern.ch:2282065 cerncds:BOOK eng QC174.7-175.36 621 23 Bardi, Ugo The Seneca effect why growth is slow but collapse is rapid Cham Springer 2017 ebook The frontiers collection 1612-3018 Introduction -- Seneca's times: The fall of the Roman Empire -- The Seneca collapse as a critical phenomenon: why do things break? -- Networks: the Seneca collapse of complex structures -- Fast and Furious Seneca: Financial collapses -- Destroying what keeps you alive: the tragedy of the commons -- The World as a Giant Bathtub: the Seneca Collapse of Complex Systems -- World models and the collapse of everything -- The dark heart of the fossil empires -- Malthus was an optimist: famines and population collapses -- The Seneca asteroid: climate change as the ultimate collapse -- Managing complex systems: how to pull the levers in the right direction -- Conclusion: How to euthanize an empire. The essence of this book can be found in a line written by the ancient Roman Stoic Philosopher Lucius Annaeus Seneca: "Fortune is of sluggish growth, but ruin is rapid". This sentence summarizes the features of the phenomenon that we call "collapse," which is typically sudden and often unexpected, like the proverbial "house of cards." But why are such collapses so common, and what generates them? Several books have been published on the subject, including the well-known "Collapse" by Jared Diamond (2005), "The collapse of complex societies" by Joseph Tainter (1998) and "The Tipping Point," by Malcom Gladwell (2000). Why The Seneca Effect? This book is an ambitious attempt to pull these various strands together by describing collapse from a multi-disciplinary viewpoint. The reader will discover how collapse is a collective phenomenon that occurs in what we call today "complex systems," with a special emphasis on system dynamics and t he concept of "feedback." From this foundation, Bardi applies the theory to real-world systems, from the mechanics of fracture and the collapse of large structures to financial collapses, famines and population collapses, the fall of entire civilizations, and the most dreadful collapse we can imagine: that of the planetary ecosystem generated by overexploitation and climate change. The final objective of the book is to describe a conclusion that the ancient stoic philosophers had already discovered long ago, but that modern system science has rediscovered today. If you want to avoid collapse you need to embrace change, not fight it. Neither a book about doom and gloom nor a cornucopianist's dream, The Seneca Effect goes to the heart of the challenges that we are facing today, helping us to manage our future rather than be managed by it. "The Seneca Effect" is probably the most important contribution to our understanding of societal collapse since Jo seph Ta inter's 1988 masterpiece, "The Collapse of Complex Societies." Since we live in a society that is just in the process of rounding the curve from growth to decline, this is information that should be of keen interest to every intelligent person. Richard Heinberg, Senior Fellow, Post Carbon Institute, Author, The End of Growth   Why do human societies collapse? With today's environmental, social and political challenges it is a question that is more than academic.  What can we learn from history?  How can we avoid the pitfalls?  In this fascinating, well written book, Ugo Bardi provides many of the answers.  Here is a book to feast on, to devour and be stimulated by, a book packed full of insights and ideas which will leave the reader satisfied, curious and stimulated.  Simply wonderful. Graeme Maxton, Secretary General of the Club of Rome. Physics and astronomy SPR201709 SzGeCERN Other Fields of Physics SPR Phase transitions (Statistical physics) SPR Complexity, Computational SPR Economics SPR Economic sociology SPR Applications of Nonlinear Dynamics and Chaos Theory SPR Complexity SPR Organizational Studies, Economic Sociology SPR Data-driven Science, Modeling and Theory Building SPR Economic Systems SPR Phase Transitions and Multiphase Systems BOOK SPR n 201735 201709 21 PUBLIC https://catalogue.library.cern/legacy/2282065 BOOK MIGRATED 2282052 SzGeCERN 20210421210512.0 9783319503639 print version 9783319503653 electronic version electronic version DOI 10.1007/978-3-319-50365-3 ebook oai:cds.cern.ch:2282052 cerncds:BOOK eng HD9502-9502.5 333.79 23 338.926 23 Jaegersberg, Gudrun Renewable energy clusters recurring barriers to cluster development in eleven countries Cham Springer 2017 ebook Innovation technology and knowledge management 2197-5698 Part I: Setting the Scene -- Part II: Case Studies -- Part III: Discussion of Cross-Cutting Barriers -- Part IV: Conclusion. Taking eleven countries in Europe, Canada, South Africa, America, Latin America and Australia, this book discusses recurring barriers to cluster development in the renewable energy sector. The authors look at the real-world dynamics and tensions between stakeholders on the ground, with a particular focus on the relationships between SMEs and other actors. This trans-regional study is unique in its scale and scope, drawing on a decade of field research to show how by learning from the successes and failures of other clusters, costs and risk can be reduced. The book fills a significant gap in the literature for policymakers, managers and economic developers in a key market. Engineering SPR201709 SzGeCERN Engineering SPR Energy SPR Renewable energy resources SPR Energy policy SPR Energy and state SPR Economic geography SPR Renewable energy sources SPR Alternate energy sources SPR Green energy industries SPR Economic policy SPR Environmental economics SPR Regional economics SPR Spatial economics SPR Energy Policy, Economics and Management SPR Environmental Economics SPR R & DTechnology Policy SPR Renewable and Green Energy SPR RegionalSpatial Science SPR Economic Geography BOOK Ure, Jenny SPR n 201736 201709 21 PUBLIC https://catalogue.library.cern/legacy/2282052 BOOK MIGRATED 2282050 SzGeCERN 20210421210513.0 9783319328850 print version 9783319328867 electronic version electronic version DOI 10.1007/978-3-319-32886-7 ebook oai:cds.cern.ch:2282050 cerncds:BOOK eng R856-857 610.28 23 Handbook of electroporation Cham Springer 2017 ebook This major reference work is a one-shot knowledge base on electroporation and the use of pulsed electric fields of high intensity and their use in biology, medicine, biotechnology, and food and environmental technologies. The Handbook offers a widespread and well-structured compilation of 156 chapters ranging from the foundations to applications in industry and hospital. It is edited and written by most prominent researchers in the field. With regular updates and growing in its volume it is suitable for academic readers and researchers regardless of their disciplinary expertise, and will also be accessible to students and serious general readers. The Handbook's 276 authors have established scholarly credentials and come from a wide range of disciplines. This is crucially important in a highly interdisciplinary field of electroporation and the use of pulsed electric fields of high intensity and its applications in different fields from medicine, biology, food proce ssing, agriculture, process engineering, energy and environment. An Editorial Board of distinguished scholars from across the world has selected and reviewed the various chapters to ensure the highest quality of this Handbook. The book was edited by an international team of Section Editors: P. Thomas Vernier, Boris Rubinsky, Juergen Kolb, Damijan Miklavcic, Marie-Pierre Rols, Javier Raso, Richard Heller, Gregor Serša, Dietrich Knorr, and Eugene Vorobiev. Engineering SPR201709 SzGeCERN Engineering SPR Pharmaceutical technology SPR Electroporation SPR Cell physiology SPR Microbiology SPR Biomedical engineering SPR Biomedical Engineering SPR Pharmaceutical SciencesTechnology SPR Cell Physiology SPR Biological and Medical Physics, Biophysics SPR Food Microbiology BOOK Miklavčič, Damijan ed. SPR n 201736 201709 21 PUBLIC https://catalogue.library.cern/legacy/2282050 BOOK MIGRATED 2290758 SzGeCERN 20171031012821.0 oai:cds.cern.ch:2290758 cerncds:FULLTEXT AIDA-2020-D15.3 eng Wu, Mengqing DESY Environmental control system at DESY 2017 Geneva CERN 2017-10-27 AIDA-2020 15.3 FP7 654168 AIDA-2020 openAccess CERN Invenio WebSubmit GENEU 0.1 Detectors and Experimental Techniques SzGeCERN 15: Upgrade of beam and irradiation test infrastructure AIDA-2020 WP AIDA-2020 AIDA-2020DEL 1363556 1934495 http://cds.cern.ch/record/2290758/files/AIDA-2020-D15_3.3.pdf 1363556 6953 http://cds.cern.ch/record/2290758/files/AIDA-2020-D15_3.gif?subformat=icon icon livia.lapadatescu@cern.ch PUBLIC DELIVERABLE AIDA-2020 2290652 SzGeCERN 20210423003533.0 ISO-14040 eng 13.020 International Organization for Standardization. Geneva Environmental management : life cycle assessment : principles and framework 1997 ed. Geneva ISO 1997 17 p SzGeCERN Engineering STANDARD French version 2290651 Language 1362930 2439455 http://cds.cern.ch/record/2290652/files/14040E.PDF h 201743 21 https://catalogue.library.cern/legacy/2290652 BOOK STANDARD MIGRATED 2290639 SzGeCERN 20210423003537.0 ISO-14020 eng 13.020 International Organization for Standardization. Geneva Environmental labels and declarations : general principles 1998 ed. Geneva ISO 1998 9 p SzGeCERN Engineering STANDARD French version 2290638 Language 1362913 32866 http://cds.cern.ch/record/2290639/files/14020E.PDF h 201743 21 https://catalogue.library.cern/legacy/2290639 BOOK STANDARD MIGRATED 2290626 SzGeCERN 20171031012812.0 oai:cds.cern.ch:2290626 cerncds:FULLTEXT AIDA-2020-CONF-2017-006 eng Gkotse, Blerina CERN, MINES ParisTech Towards a Unified Environmental Monitoring, Control and Data Management System for Irradiation Facilities: the CERN IRRAD Use Case 2017 Geneva CERN 2017-10-04 The qualification of materials, electronic components and equipment for the CERN High Energy Physics experiments and beyond requires testing against possible radiation effects. These quite complex tests are performed by specialized teams working in irradiation facilities such as IRRAD, the Proton Irradiation Facility at CERN. Building upon the details of the overall irradiation control, monitoring, and logistical systems of IRRAD as a use case, we introduce the motivations for and general architecture of its new data management framework, currently under development at CERN. This infrastructure is intended to allow for the seamless and comprehensive handling of IRRAD irradiation experiments and to help manage all aspects of the facility. Its architecture, currently focused on the specific requirements of the IRRAD facility, is intended to be upgraded to a general framework that could be used in other irradiation facilities within the radiation effects community, as well as for other applications. FP7 654168 AIDA-2020 openAccess CERN Invenio WebSubmit GENEU 0.1 Detectors and Experimental Techniques SzGeCERN 15: Upgrade of beam and irradiation test infrastructure AIDA-2020 WP AIDA-2020 AIDA-2020CONF CERN Glaser, Maurice CERN Jouvelot, Pierre MINES ParisTech Matli, Emanuele CERN Pezzullo, Giuseppe CERN Ravotti, Federico CERN cern20171002 2256751 1362869 779049 http://cds.cern.ch/record/2290626/files/AIDA-2020-CONF-2017-006.pdf 1362869 14970 http://cds.cern.ch/record/2290626/files/AIDA-2020-CONF-2017-006.jpg?subformat=icon- icon- 1362869 6049661 http://cds.cern.ch/record/2290626/files/AIDA-2020-CONF-2017-006.pdf?subformat=pdfa pdfa 1362869 9045 http://cds.cern.ch/record/2290626/files/AIDA-2020-CONF-2017-006.gif?subformat=icon icon livia.lapadatescu@cern.ch 13 cern20171002 2256751 PUBLIC ConferencePaper AIDA-2020 2290523 SzGeCERN 20210423003539.0 ISO-14004 eng 13.020 International Organization for Standardization. Geneva Environmental management systems : general guidelines on principles, systems and supporting techniques 1996 ed. Geneva ISO 1996 40 p SzGeCERN Engineering STANDARD French version 2290519 Language 1362620 5930783 http://cds.cern.ch/record/2290523/files/14004E.PDF h 201743 21 https://catalogue.library.cern/legacy/2290523 BOOK STANDARD MIGRATED 2290296 SzGeCERN 20210423003541.0 ISO-14001 eng 13.020 International Organization for Standardization. Geneva Environmental management systems : specification with guidance for use Geneva ISO 1996 24 p SzGeCERN Engineering STANDARD French version 2290331 Language 1362385 3544500 http://cds.cern.ch/record/2290296/files/14001E.PDF h 201743 21 https://catalogue.library.cern/legacy/2290296 BOOK STANDARD MIGRATED 2289673 SzGeCERN 20180205163255.0 DOI JACoW 10.18429/JACoW-IPAC2017-TUPVA127 oai:inspirehep.net:1626324 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1626324 2017-10-17T20:42:14Z 2017-10-18T04:00:43Z marcxml Inspire 1626324 eng CERN-ACC-2017-156 Stanyard, Joanna JACoW-00094684 joanna.louise.stanyard@cern.ch CERN JACoW Optimisation of the Design of the Future Circular Collider from a Civil Engineering Perspective 2017 3 p JACoW This paper describes the role of civil engineering in the optimisation of the design of CERN's Future Circular Collider (FCC). The civil engineering team at CERN have employed a bespoke, interactive, geological tool to consider the suitability of multiple layout options for the FCC, situated in the Geneva Basin, in particular quasi-circular options with circumferences in the order of 100 km. The tool has been used to provide feedback on potential lattice designs that are assessed based on criteria such as geological risk, shaft depth and the environmental sensitivities of access and experimental sites. This paper presents the process and some results of the impact of civil engineering on the design of the FCC, in particular on the layout, location, and structural requirements, and also how the optimised design has been used as the basis for a cost and schedule study. JACoW CC-BY-3.0 http://creativecommons.org/licenses/by/3.0/ SzGeCERN Accelerators and Storage Rings JACoW civil-engineering JACoW collider JACoW site JACoW lattice JACoW alignment CERN Loo, Yung JACoW-00100393 yung.loo@arup.com Unlisted, UK Mertens, Volker JACoW-00001580 volker.mertens@cern.ch CERN Osborne, John INSPIRE-00206836 JACoW-00035478 CERN Sturzaker, Craig JACoW-00100394 craig.sturzaker@arup.com Unlisted, UK Sykes, Matt JACoW-00100395 matt.sykes@arup.com Unlisted, UK TUPVA127 IPAC2017 C17-05-14 2017 1360954 944747 http://cds.cern.ch/record/2289673/files/tupva127.pdf 13 TUPVA127 2263434 copenhagen20170514 ARTICLE ConferencePaper 0-0-0-1-0-0-1 2017-09-28 23:54:13 Invenio/1.1.2.1260-aa76f refextract/1.5.44 content.pdf;1 C. Cook, B. Goddard Ph. Lebrun, J. Osborne, Y Robert in Proc. IPAC15, Richmond, Virginia 1 Civil Engineering Optimisation Tool for the Study of CERN's Future Circular Colliders 2015 GIBB-SGI-Geoconsult Joint Venture unpublished 2 LHC Civil Engineering Consultancy Services. Package 2. Geotechnical Interpretative Report Amberg Engineering unpublished 3 Comparison of 100 km FCC Options from an Engineering Perspective M. R. G. Anagnostou 978-3-95450-182-3 in AFTES Congrès Internationale, Paris, 2008. TUPVA127 Proceedings of IPAC, Copenhagen, Denmark 2394 Copyright©CC-BY-3.0andbytherespectiveauthors 01 Circular and Linear Colliders A01 Hadron Colliders 4 TBM drives in squeezing ground Shield-rock interaction 2017 2289524 20250515231628.0 oai:cds.cern.ch:2289524 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN CERN-THESIS-2017-183 eng Voulgari, Evgenia AUTHOR|(CDS)2080023 AUTHOR|(SzGeCERN)692040 CERN Evgenia.Voulgari@cern.ch A Nine Decade Femtoampere Current to Frequency Converter INFOSCIENCE doi:10.5075/epfl-thesis-7853 2017-10-13 148 p Presented 12 Oct 2017 PhD Ecole Polytechnique, Lausanne 2017-07-27 Various applications require ultra-low current sensing. Some of these applications are related to ionizing radiation detection. Radiation monitoring is important in particle physics experiments, nuclear facilities, hadron therapy institutes and hospitals. In these cases the detectors used are mostly gas-filled detectors like ionization chambers. The output of these detectors is a current that is normally proportional to the energy deposited by the incident radiation. The European Organization for Nuclear Research (CERN) has a legal obligation to comply with the legislation in matters of radiation protection in order to avoid any unjustified dose to people or pollution of the environment. According to the existing detectors, the current output varies from a few femtoamperes up to the microampere range. The scope of this thesis is the design of a microelectronic integrated wide dynamic range front-end for radiation monitoring. Firstly, the state of the art has been investigated and different technologies have been compared. The selected architecture is based on current to frequency conversion with charge balancing. The main limitation in ultra-low current sensing is related to the leakage currents that are present in the front-end input. A demonstrator Application Specific Integrated Circuit (ASIC) named Utopia 1 was built in AMS 0.35 $\mu$m technology to estimate the different sources of leakage currents and provide guidelines or design solutions for femtoampere measurements. According to the achieved results, a new ASIC named Utopia 2 was designed that has been optimized to minimize the non-ideal effects. The Utopia 2 is able to digitize currents from 1 femtoampere (fA) up to 5 microamperes ($\mu$A). To achieve such performance, the ASIC includes an active on-chip leakage current compensation circuit and a multi-range charge balancing circuit. The ASIC integrates the input current in a constant acquisition time, but for the sub-picoampere current measurements the measuring time needs to be increased. The ASIC has been characterized for its low current performance in the Swiss Federal Institute of Metrology (METAS). The ASIC's calibration procedure and qualitative radiation measurements with the detector in the presence of radiation sources have been performed. The designed ASIC is the ultra-low current sensing circuit and digitizer that will be used at CERN for radiation monitoring for personnel and environmental safety. CERN Doctoral Student Program CERN EDS Detectors and Experimental Techniques SzGeCERN CERN THESIS Not applicable Not applicable Kayal, Maher dir. Ecole Polytechnique, Lausanne Szoncso, Friedrich dir. CERN HSE http://cds.cern.ch/record/2289524/files/CERN-THESIS-2017-183.pdf Fulltext 1360812 17196441 1360812 10980633 http://cds.cern.ch/record/2289524/files/CERN-THESIS-2017-183.pdf?subformat=pdfa pdfa evgenia.voulgari@cern.ch n 201742 a2017 14 PUBLIC https://repository.cern/legacy/record/2289524 THESIS MIGRATED 2288978 SzGeCERN 20171214170236.0 9783319623016 (electronic bk.) electronic version 9783319623009 electronic version EBL 5047809 eng QC71.82-73.8 621.042 Ushakov, Vasily Y Electrical power engineering current state, problems and perspectives Cham Springer 2017 269 p Green energy and technology Preface -- Contents -- Abbreviations -- 1 Power Engineering as a Basis for Progress of Civilization -- 1.1 Main Concepts and Definitions -- 1.2 Influence of Power Engineering on the Development of Humanity -- Reference -- 2 From the History of Electrical Power Engineering -- 2.1 Formation of Electrical Engineering as an Independent Engineering Branch (1870-1890) -- 2.2 Next Stages of Power Engineering-Sustainable Formation and Development -- References -- 3 The Earth's Energy Resources (Reserves, Short Characteristics) -- 3.1 Traditional Non-renewable Energy Resources -- 3.1.1 Coal -- 3.1.2 Oil -- 3.1.3 Natural Gas -- 3.1.4 Nuclear Energy -- 3.2 Backup Fuel (Subsidiary Mineral Fuel) -- 3.2.1 Slate Coal -- 3.2.2 Bituminous Sandstone -- 3.2.3 Gas Hydrate -- 3.2.4 Associated Petroleum Gas -- 3.2.5 Mine Methane (Coal Methane) -- 3.2.6 Syngas -- References -- 4 Electric Power Production -- 4.1 Choice of the Electric Power Generation Type -- 4.2 Powerful Power Plant Based on Non-renewable Mineral Energy Resources -- 4.2.1 Features of the Use of Coal in the Energy Sector -- 4.2.2 Improvement of the Furnace Construction and Technology of Coal Firing -- 4.2.3 Improving the Quality of Coal Fuel -- 4.3 Cogeneration -- 4.4 Small-Scale Power Generation: Current State and Prospects -- 4.4.1 Distribution Areas of Small-Scale Power Generation -- 4.4.2 Small-Scale Distributed Power Generation Functioning on Organic Fuel -- 4.4.2.1 Gas-Turbine Power Installations -- 4.4.2.2 Piston Installations -- 4.4.2.3 Stirling Engine -- 4.4.2.4 Turbo-expander Generators -- 4.5 Nuclear Power Engineering -- 4.5.1 Current State and Prospects for the Development of Nuclear Power Plants with Uranium Fuel Cycle -- 4.5.2 Intermediate and Low-Power Nuclear Stations Including Floating Ones -- 4.5.3 Nuclear Power Plants with Fast Neutron Reactors -- 4.5.4 Closed Nuclear Fuel Cycle. References -- 5 Electric Power Engineering on the Basis of Renewable Energy Sources -- 5.1 Necessity of Searching for New Energy Sources -- 5.2 Harnessing of Water Flow of Rivers and Energy of Other Streams -- 5.2.1 Large-Scale Hydraulic Power Engineering (Base on Traditional Hydroelectric Power Plants) -- 5.2.2 Mini Hydro Power Plants -- 5.3 Bioenergetics -- 5.3.1 Biomass -- 5.3.2 Peat -- 5.4 Wind Power Plants -- 5.5 Solar Power Engineering -- 5.5.1 Electric Energy Production -- 5.5.2 Thermal Energy Production -- 5.6 Tidal and Wave Power Plants -- 5.6.1 Tidal Power Plants -- 5.6.2 Wave Power Plants -- 5.7 Geothermal Power Plants -- 5.8 Other Renewable Energy Sources for Electricity Production -- 5.8.1 Ocean and Sea Currents Energy -- 5.8.2 Thermal Energy of Ocean and Sea Water -- 5.8.3 Osmotic Energy -- References -- 6 Energy Transmission and Distribution -- 6.1 Main Stages in the Development of Power Transmission Systems in the XXth and in the First Part of the XXIst Century -- 6.2 Main Tendencies in the Development of Power Transmission Systems -- 6.3 Technical Problems of the Electric Grid Complex -- 6.3.1 Provision of Uninterrupted Electric Grids -- 6.3.2 Minimization of Electric Power Transmission Losses -- 6.3.2.1 Increasing the Power Factor -- 6.3.2.2 Regulation of RP in Power Systems -- 6.3.2.3 Regulation of RP in the Power Supply Systems with Nonlinear Load -- 6.3.2.4 Decrease of Energy Losses in Transformers -- 6.3.3 Power Quality -- 6.3.4 Electromagnetic Compatibility -- 6.4 A Look at the Future Development of Power Transmission Systems -- 6.4.1 Micro-grids -- 6.4.2 Strong Grid on the Basis of Flexible Alternative Current Transmission Systems -- 6.4.3 Smart Grid -- 6.4.4 Direct Current Transmission Lines -- References -- 7 Energy Accumulation (Store) -- 7.1 Systematization -- 7.2 Electric Energy Storages. 7.2.1 Capacitive Energy Storages -- 7.2.2 Storage-Batteries -- 7.2.3 Superconductive Inductive Energy Storages -- 7.3 Potential and Kinetic Energy Storages -- 7.3.1 Pumped Storage Power Plants -- 7.3.2 Air-Compression Energy Storages -- 7.3.3 Inertial Energy Storages (Flywheels and Super-Flywheels) -- 7.3.4 Electromechanical Drive Storages -- Reference -- 8 Power Engineering and the Biosphere -- 8.1 Power Engineering as the Threat to the Biosphere -- 8.2 Short Analysis of the Trends in Electric Energy Generation and Consumption in Aspect of the Influence on Environment -- 8.3 Main Sources of Threats to the Environment in Different Sectors of Fuel and Energy Complex -- 8.3.1 Activities in the Resource Sectors -- 8.3.2 Energy Generation -- 8.3.3 Energy Transmission and Distribution -- 8.4 Look of the International Community of the Environmental Protection Problem -- References -- 9 Unconventional (Alternative) Methods of Electric Energy Production -- 9.1 Thermonuclear Power Engineering (Controlled Thermonuclear Fusion) -- 9.1.1 Tokamak -- 9.1.2 Inertial (Pulsed) Thermonuclear Fusion -- 9.2 Hydrogen Power Engineering (Based on Fuel Cells) -- References -- Conclusion. 9783319623009 print version oai:cds.cern.ch:2288978 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5047809 ebook ebook EBL201710 Engineering SzGeCERN BOOK n 201741 201710 21 PUBLIC BOOK DELETED 2288960 SzGeCERN 20171214170234.0 9783319449814 (electronic bk.) electronic version 9783319449791 electronic version EBL 5043122 eng QA75.5-76.95 004 Wang, May D Health informatics data analysis methods and examples Cham Springer 2017 214 p Health information science Preface -- Contents -- 1 Global Nonlinear Fitness Function for Protein Structures -- Abstract -- Introduction -- Theory and Models -- Modeling Protein Fitness Function -- Two Geometric Views of Linear Protein Potentials -- Optimal Linear Fitness Function -- Relation to Support Vector Machines -- Nonlinear Scoring Function -- Optimal Nonlinear Fitness Function -- Rectangle Kernel and Reduced Support Vector Machine (RSVM) -- Smooth Newton Method -- Computational Procedures -- Protein Data -- Contact Maps and Sequence Decoys -- Learning Linear Fitness Function -- Learning Full Nonlinear Fitness Function -- Learning Simplified Nonlinear Fitness Function -- Results -- Linear Fitness Functions -- Full Nonlinear Fitness Function -- Results of Simplified Nonlinear Fitness Function -- Discussion -- References -- 2 Computational Methods for Mass Spectrometry Imaging: Challenges, Progress, and Opportunities -- Abstract -- Introduction -- Challenges -- Challenge 1: Integration of MSI Data with Complementary Imaging Modalities -- Challenge 2: Movement Toward MSI from Three-Dimensional Samples -- Challenge 3: Reproducibility, Data Standardization, and Community Resources -- Current Techniques in MSI Analysis -- Case Study -- Conclusion -- Acknowledgements -- References -- 3 Identification and Functional Annotation of LncRNAs in Human Disease -- Abstract -- Background -- Current Bioinformatics Methods -- Identify Associated lncRNAs in Human Diseases -- By Microarray -- By RNA-seq -- Annotated the Functions of Associated lncRNAs in Human Diseases Based on Co-expression Network -- Further Analysis of LncRNAs After Identification and Functional Annotation -- Challenges and Current Problems -- Example -- Identification of Differentially Expressed lncRNAs in Gastric Cancer -- Conclusion -- References -- 4 Metabolomics Characterization of Human Diseases -- Abstract. Background -- Challenges -- Current Techniques -- Example One-Pathway Analysis To Understand the Change of Pattern in Metabolomics Profiles -- Example Two-Development of a Classification Model Using Metabolite Biomarkers for Discriminating Disease Samples from Controls -- Conclusions -- References -- 5 Metagenomics for Monitoring Environmental Biodiversity: Challenges, Progress, and Opportunities -- Abstract -- Introduction -- Sampling and Experimental Design -- Metagenomic Sequencing and Preprocessing -- Metagenomic Data Analyses -- Platforms -- Example: Bacteria 16S RRNA Metagenomics Pipeline -- Conclusion -- References -- 6 Clinical Assessment of Disease Risk Factors Using SNP Data and Bayesian Methods -- Abstract -- Promise and Complexity of Personalized Medicine -- Whole-Genome Association Studies -- Beyond Single-Locus Analysis -- Modern Bioinformatics Approaches -- Bayesian Data Analysis Methods -- Overview of Bayesian Data Analysis -- Overview of Bayesian Variable Partition -- Epistasis Analysis Methods -- Incorporating Block-Type Genome Structure -- Detailed Interaction Partition Structure Determination -- Bayesian Graph Models and Networks -- Clinical Applications of Bayesian Methodology -- Conclusions and Future Prospects -- Acknowledgements -- References -- 7 Imaging Genetics: Information Fusion and Association Techniques Between Biomedical Images and Genetic Factors -- Abstract -- Background -- Challenges -- Current Techniques -- Conclusion -- Example: Using Parallel ICA to Analyze fMRI and SNP Data Sets in Schizophrenia -- References -- 8 Biomedical Imaging Informatics for Diagnostic Imaging Marker Selection -- Abstract -- Introduction -- Challenges -- Image Artifacts -- Batch Effects -- Object Detection -- Semantic Gap -- Marker Selection -- Marker Validation -- Current Techniques. Quality Control Methods for Addressing Image Artifacts and Batch Effects -- Image Segmentation Methods for Object Detection -- Image Feature Extraction for Biologically Interpretable Markers -- Feature Selection for Imaging Marker Selection -- Classification for In-Silico Marker Validation -- Case Study: Imaging Marker Selection for Tumor Versus Nontumor Classification -- Conclusion -- References -- 9 ECG Annotation and Diagnosis Classification Techniques -- Abstract -- Background -- Technology Roadmap -- ECG Acquisition -- ECG Signal Preprocessing -- ECG Feature Extraction and Classification -- Supervised and Unsupervised Learning Methods in ECG Classification -- Deep Learning in ECG Classification: A Preliminary Study-Based on Deep Sparse Autoencoder -- Deep Neural Networks -- Autoencoders and Sparsity -- Representation Learning -- Fine-Tuning and Classifier -- Experiments and Results -- Datasets Preparation -- Classification Workflow -- Classifier Performance Assessment -- Results -- Comparison with Other Work -- Deep Learning in ECG Classification: A Two-Lead ECG Classification Based on Deep Belief Network -- The Deep Belief Network and Classifier -- The Restricted Boltzmann Machine -- Classifier and the Training of Multi-layer RBM -- Combined Optimization Algorithm for Multi-lead Classifiers -- Experiment and Results -- Preprocessing and Segmentation -- Training and Fine-Tuning -- Experiment Results -- Conclusion -- References -- 10 EEG Visualization and Analysis Techniques -- Abstract -- Background -- Challenges -- Current Techniques -- Example One: Composition of EEG Headset -- Example Two: Analysis of Meditation State -- An Empirical Study -- A Platform for Cumulative Brain State Modeling -- Conclusion -- References -- 11 Big Health Data Mining -- Abstract -- Introduction -- Data Level -- Molecular Level -- Tissue Level. Patient/Person Level -- Population Level -- Heterogeneity of Big Health Data -- Techniques -- A Showcase -- Background -- Data and Methods -- Previous Reports About the Basic Risk Factors of IM -- Age -- Gender -- Other Diseases -- Other Potential Factors -- Conclusion -- Summary -- References -- 12 Computational Infrastructure for Telehealth -- Abstract -- Introduction to Telehealth -- Architecture of Telehealth Systems -- Overview -- Data Analytics -- Use Case: Telehealth Solution for Hypertension Management -- Data Structure and Analytics -- Implementation of Telehealth System for Hypertension Management -- Conclusion -- Acknowledgements -- References -- 13 Healthcare Data Mining, Association Rule Mining, and Applications -- Abstract -- Background of Data Mining Methods and Challenges -- Classification -- Clustering -- A New Technique for Comprehensive Association Discovery: Association Rule Mining -- Principle of Association Rule Mining -- An Example of Association Rule Mining System for Healthcare Data Mining -- An Example of the Association Rule Mining System in Predictive Health -- Challenges of Current Association Rule Mining and Possible Solutions -- Conclusion -- References. Zhou, Fengfeng Cai, Yunpeng 9783319449791 print version oai:cds.cern.ch:2288960 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5043122 ebook ebook EBL201710 Computing and Computers SzGeCERN BOOK n 201741 201710 21 PUBLIC BOOK DELETED 2288942 SzGeCERN 20171214170233.0 9783319601373 (electronic bk.) electronic version 9783319601366 electronic version EBL 5024041 eng QC71.82-73.8 621.042 Dastbaz, Mohammad Technology for smart futures Cham Springer 2017 374 p Preface -- Acknowledgments -- Contents -- Contributors -- Part I: Internet of Things (IoT), and "Smart Living" -- Chapter 1: IoT-Enabled Smart Living -- 1.1 Introduction -- 1.1.1 Project Objectives -- 1.2 Related Work -- 1.2.1 Smart Health and Care -- 1.2.2 Smart Quality of Life -- 1.2.3 IoT and Security Management -- 1.3 Underlying Concept and Methodology -- 1.3.1 Overall Underpinning Concept -- 1.3.1.1 Adapted Biomimicry Life's Principles -- 1.3.2 SMART-ITEM System Architecture Requirements -- 1.3.2.1 Functional Requirements -- 1.3.2.2 Nonfunctional Requirements -- 1.3.3 SMART-ITEM System Architecture -- 1.3.3.1 Data, Information, and Communications-Related Functions -- 1.3.3.2 Control and Management-Related Functions -- 1.3.4 SMART-ITEM Integrated Software Architecture -- 1.3.5 SMART-ITEM Open Platform -- 1.4 Methodology -- 1.4.1 User-Centered Design Approach -- 1.4.2 Integrated Agile Methodology for Software Development (with PDSA) -- 1.4.3 Pilot Study for the Design, Development, and Deployment of SMART-ITEM System and Services -- 1.5 Some Relevant Technologies for SMART-ITEM -- 1.6 Impact Analyses -- 1.7 Conclusion -- References -- Chapter 2: Emerging Trends in Cloud Computing, Big Data, Fog Computing, IoT and Smart Living -- 2.1 Introduction -- 2.2 Cloud Models -- 2.2.1 Service Models -- 2.2.2 Deployment Models -- 2.3 Cloud Services -- 2.3.1 Security and Compliance -- 2.3.2 Cloud Security Controls -- 2.4 Cloud Users and Organisations -- 2.5 Big Data Notion -- 2.6 Fog Computing -- 2.7 Smart Living -- 2.8 Conclusions -- References -- Chapter 3: Toward a Cognitive Middleware for  Context-­Aware Interaction in Smart Homes -- 3.1 Introduction -- 3.2 Motivating Example -- 3.3 Background -- 3.3.1 Smart Home Projects for the Elderly -- 3.3.2 Taxonomies of Interaction in Smart Homes -- 3.3.3 Context-Aware Computing. 3.4 Why Middleware for Context-Aware Interaction? -- 3.5 Proposed Model -- 3.5.1 Architectural Design -- 3.5.2 Discussion -- 3.6 Conclusion -- References -- Chapter 4: A Path Planning Approach of an Autonomous Surface Vehicle for Water Quality Monitoring Using Evolutionary Computation -- 4.1 Introduction -- 4.2 Backgrounds -- 4.2.1 Harmful Algal Bloom Monitoring in Lakes -- 4.2.1.1 The Environmental Problem -- 4.2.1.2 Hydrography Characteristics in Paraguay -- 4.2.2 Autonomous Surface Vehicles -- 4.2.2.1 Types of ASV and Their Applications -- 4.2.2.2 ASV for Environmental Monitoring -- 4.2.3 Mobility of ASV Based on AI -- 4.2.3.1 Path Planning -- 4.2.3.2 Path Planning as the TSP -- 4.2.3.3 Genetic Algorithms for Solving Path Planning Problems -- 4.3 Ypacarai Lake: A Case Study -- 4.3.1 Covered Problem -- 4.3.2 Proposed Approach -- 4.4 Simulation Results -- 4.4.1 Simulation Environment -- 4.4.2 Simulation Results -- 4.5 Conclusions -- References -- Part II: "Smart Living" Case Studies -- Chapter 5: Big Data and Data Science Applications for Independent and Healthy Living -- 5.1 Introduction -- 5.2 A Perspective on Intelligence -- 5.3 Computational Approaches to Intelligence in Healthcare -- 5.4 Case Studies -- 5.4.1 Case Study: Multivariate Association Mapping for Biological Markers in Schizophrenia -- 5.4.1.1 Research Progress -- 5.4.1.2 Summary of Case Study 1 -- 5.4.2 Case Study: Foetal Intrapartum Hypoxia Monitoring -- 5.4.2.1 Materials and Methods -- 5.4.2.2 CTG Data Collection -- Preprocessing -- Feature Extraction -- Synthetic Minority Oversampling Technique -- 5.4.2.3 Summary of Case Study 2 -- 5.4.3 Case Study: Preterm Birth Prediction -- 5.4.3.1 Methodology -- Raw Data Collection -- Feature Extraction -- Feature Selection -- Oversampling of EHG Signals -- Experiment Design -- Results -- Summary of Case Study 3. 5.4.4 Case Study: Applied Machine Learning Approaches for the Clinical Data Analysis of Sickle Cell Disease -- 5.4.4.1 Results -- 5.4.4.2 Summary of Case Study 4 -- 5.4.5 Case Study: Data Quality Control to Genetic Data for Type 2 Diabetes -- 5.4.5.1 Background -- 5.4.5.2 Data Quality Control and Results -- 5.4.5.3 Summary of Case Study 5 -- 5.4.6 Case Study: Obesity Genetics and Classification -- 5.4.6.1 Proposed Methodology -- 5.4.6.2 Summary of Case Study 6 -- 5.5 Conclusion -- References -- Chapter 6: A Comprehensive Framework for Elderly Healthcare Monitoring in Smart Environment -- 6.1 Introduction -- 6.2 Background on Pervasive Health Monitoring -- 6.3 Related Work -- 6.4 Classification of Pervasive Healthcare Systems -- 6.4.1 Research-Based Solutions -- 6.4.2 Industrial/Commercial Applications -- 6.4.3 Comparison Criteria -- 6.4.3.1 Non-intrusive Pervasive Healthcare -- 6.4.3.2 Security-Enabled Devices in Pervasive Healthcare -- 6.4.3.3 Mobility-Aware Devices in Pervasive Healthcare -- 6.4.3.4 Integration Support Across Heterogeneous Pervasive Healthcare Systems -- 6.4.3.5 Context-Aware Devices in Pervasive Healthcare -- 6.4.4 Discussion and Analytics -- 6.5 Key Properties of Comprehensive Pervasive Healthcare Solution -- 6.5.1 Smart Pervasive Healthcare -- 6.5.2 Data Intensive Management in Pervasive Healthcare -- 6.5.3 Intelligent Power Conservation -- 6.5.4 Social Network Integration -- 6.6 Integrated and Scalable Framework for Remote (Health) Monitoring: "IS-arm" -- 6.6.1 Overview Description -- 6.6.2 New Proposed Framework -- 6.6.3 Social Network Sensing Module -- 6.7 Novel Algorithm for Disease Detection -- 6.8 Implementation -- 6.8.1 System Technical and Non-functional Requirements -- 6.8.2 Prototype Implementation -- 6.8.3 Mobile Application Implementation -- 6.8.4 Discussion of Results -- 6.9 Conclusion and Future Work -- References. Chapter 7: Technology Implementation Case Studies: Lincus Software as a Service -- 7.1 Introduction -- 7.1.1 The Role of Technology -- 7.1.2 Barriers to Technology Implementation -- 7.1.2.1 Usability -- 7.1.2.2 Usefulness -- 7.1.2.3 Interoperability -- 7.1.2.4 Training and Support -- 7.1.2.5 Organisational Change -- 7.1.2.6 Process of Implementation -- 7.1.2.7 Cost of Implementation -- 7.2 Case Studies: Background -- 7.3 Case Study 1: Supporting Individuals with Multiple and Complex Needs -- 7.3.1 Trial Summary -- 7.3.2 Co-development -- 7.3.3 Usability and Usefulness -- 7.3.4 Training and Support -- 7.3.5 Future Work -- 7.3.6 Summary -- 7.4 Case Study 2: Improving the Performance of Individuals with Multiple Long-Term Conditions -- 7.5 Case Study 3: Supporting the Care of People with Learning Disabilities - Initial Trial and Wider Roll Out -- 7.5.1 Trial Summary -- 7.5.2 Staff Engagement -- 7.5.3 Staff Training -- 7.5.4 System Design -- 7.5.5 Technical Issues -- 7.5.6 Summary -- 7.6 Case Study 4: Implementation Without Stakeholder Communication - A Medical Group and a City Council -- 7.6.1 Medical Group -- 7.6.2 City Council -- 7.6.3 Summary -- 7.7 Case Study 5: Leveraging Existing Services to Codevelop a Solution -- 7.8 Summary -- 7.9 Conclusion -- References -- Part III: Technological Challenges for "Smart Futures", Evaluation and Monitoring -- Chapter 8: Environmental Responsibility Assessment using Belief Rule Based Inference -- 8.1 Introduction -- 8.1.1 SMEs and Sustainability -- 8.2 Literature Review -- 8.2.1 Existing Environmental Assessment Models -- 8.2.2 Belif Rule Based Expert Systems -- 8.2.3 Inference Engines -- 8.3 Assessment Methodology -- 8.3.1 Belif Rule Based Knowledge Representation and Inference Procedures -- 8.3.1.1 Knowledge Base in ER Assessment -- 8.3.1.2 Environmental Responsibility Toolkit. 8.4 BRB and FIS Performance Comparison -- 8.4.1 Fuzzy Logic Design -- 8.4.2 Results and Comparison -- 8.4.3 Statistical Analysis and Significance Tests -- 8.5 Conclusions -- References -- Chapter 9: Measurement and Classification of Smart Systems Data Traffic Over 5G Mobile Networks -- 9.1 Introduction -- 9.2 Background -- 9.2.1 Cellular Networks Evolution -- 9.3 5G Protocols Architecture -- 9.4 5G Enabling Technologies -- 9.5 Infrastructure Based RNs -- 9.6 M2M Communication -- 9.7 5G Network Slicing -- 9.8 State of the Art -- 9.8.1 Data Traffic Aggregation Models -- 9.8.2 M2M Data Traffic Models -- 9.9 Limitations of Existing Models -- 9.10 Problem Statement -- 9.11 Proposal Work -- 9.12 Data Traffic Aggregation Model -- 9.13 Data Traffic Slicing Model -- 9.14 Applications (Services) Layer -- 9.15 Data Traffic Slices Model -- 9.16 Data Traffic Slices Algorithm -- 9.17 Measurement QoS in Slices -- 9.17.1 Latency -- 9.17.2 Jitter -- 9.17.3 Packet Loss -- 9.17.4 Simulation Environment -- 9.18 Research Expected Contributions -- 9.19 Conclusion -- References -- Chapter 10: Monitoring the Energy Consumed by a Network Infrastructure to Detect and Isolate Faults in Communication Architecture -- 10.1 Introduction -- 10.2 Related Work -- 10.3 Objective -- 10.3.1 Building a Knowledge Base -- 10.3.2 The Logic Behind the Monitoring System -- 10.4 System Description -- 10.4.1 Implementation -- 10.5 Results and Discussion -- 10.6 Conclusion and Future Work -- References -- Chapter 11: Reducing Energy Consumption of Network Infrastructure Using Spectral Approach -- 11.1 Introduction -- 11.2 Related Work -- 11.2.1 Related Work in Network Energy Consumption Evaluation -- 11.2.2 Related Work in Network Energy Consumption Optimization -- 11.2.3 Related Work Based on Clustering Approach -- 11.3 System Architecture and Criteria to Reorganize Network Switches. 11.3.1 Action 1. Arabnia, Hamid 9783319601366 print version oai:cds.cern.ch:2288942 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5024041 ebook ebook EBL201710 Engineering SzGeCERN BOOK n 201741 201710 21 PUBLIC BOOK DELETED 2288941 SzGeCERN 20200808000723.0 9783527343058 print version 9783527808885 electronic version electronic version oai:cds.cern.ch:2288941 cerncds:BOOK EBL 5018400 eng 541.395 Rothenberg, Gadi Catalysis concepts and green applications 2nd ed. Newark, NJ John Wiley & Sons 2017 318 p ebook Cover -- Main title -- Copyright page -- Contents -- Preface -- 1 Introduction -- 1.1 Green Chemistry and Sustainable Development -- 1.1.1 What Is `Green Chemistry'? -- 1.1.2 Quantifying Environmental Impact: Efficiency, E-Factors, and Atom Economy -- 1.1.3 Just How `Green' Is This Process? -- 1.1.4 Product and Process Life-Cycle Assessment (LCA) -- 1.2 What Is Catalysis and Why Is It Important? -- 1.2.1 Homogeneous Catalysis, Heterogeneous Catalysis, and Biocatalysis: Definitions and Examples -- 1.2.2 Connecting Catalysis and Sustainability: Saving Resources by Using Catalytic Cycles -- 1.2.3 Industrial Example: the BHC Ibuprofen Process -- 1.3 Tools in Catalysis Research -- 1.3.1 Catalyst Synthesis and Testing Tools -- 1.3.2 Catalyst Characterisation Tools -- 1.3.3 Modelling/Mechanistic Studies Tools -- 1.4 Exercises -- References -- Further Reading -- 2 The Basics of Catalysis -- 2.1 Catalysis Is a Kinetic Phenomenon -- 2.1.1 Reaction Rates, Reaction Orders, Rate Equations and Rate-Determining Steps -- 2.1.2 The Reaction Profile and the Reaction Coordinate -- 2.1.3 Zero-Order, First-Order and Second-Order Kinetics -- 2.1.4 Langmuir8211`-Hinshelwood Kinetics -- 2.1.5 The Steady-State Approximation -- 2.1.6 Michaelis8211`-Menten Kinetics -- 2.1.7 Consecutive and Parallel First-Order Reactions -- 2.1.8 Pre-equilibrium, `Catalyst Reservoirs', and Catalyst Precursors -- 2.2 Practical Approaches in Kinetic Studies -- 2.2.1 Initial Reaction Rates and Concentration Effects -- 2.2.2 Creating Pseudo-Order Conditions -- 2.2.3 What You See vs. What You Get -- 2.2.4 Learning from Stoichiometric Experiments -- 2.3 An Overview of Some Basic Concepts in Catalysis -- 2.3.1 Catalyst-Substrate Interactions and Sabatier's Principle -- 2.3.2 Catalyst Deactivation, Sintering, and Thermal Degradation -- 2.3.3 Catalyst Inhibition -- 2.4 Exercises -- References. 3 Homogeneous Catalysis -- 3.1 Metal Complex Catalysis in the Liquid Phase -- 3.1.1 Elementary Steps in Homogeneous Catalysis -- 3.1.2 Structure-Activity Relationships in Homogeneous Catalysis -- 3.1.3 Asymmetric Homogeneous Catalysis -- 3.1.4 Industrial Examples -- 3.2 Homogeneous Catalysis without Metals -- 3.2.1 Classic Acid/Base Catalysis -- 3.2.2 Organocatalysis -- 3.3 Scaling Up Homogeneous Reactions: Pros and Cons -- 3.3.1 Catalyst Recovery and Recycling -- 3.3.2 Immobilised Complexes and Ship-In-A-Bottle Catalysts -- 3.4 `Click Chemistry' and Homogeneous Catalysis -- 3.5 Exercises -- References -- 4 Heterogeneous Catalysis -- 4.1 Classic Gas/Solid Systems -- 4.1.1 The Concept of the Active Site -- 4.1.2 Model Catalyst Systems -- 4.1.3 Real Catalysts: Promoters, Modifiers, and Poisons -- 4.1.4 Preparation of Solid Catalysts: Black Magic Revealed -- 4.1.5 Selecting the Right Support -- 4.1.6 Catalyst Characterisation -- 4.1.7 The Catalytic Converter: an Example from Everyday Life -- 4.1.8 Surface Organometallic Chemistry -- 4.2 Liquid/Solid and Liquid/Liquid Catalytic Systems -- 4.2.1 Aqueous Biphasic Catalysis -- 4.2.2 Fluorous Biphasic Catalysis -- 4.2.3 Biphasic Catalysis Using Ionic Liquids -- 4.2.4 Phase-Transfer Catalysis -- 4.3 Advanced Process Solutions Using Heterogeneous Catalysis -- 4.3.1 The BP AVADA Ethyl Acetate Process -- 4.3.2 The CB&I Lummus/Albemarle AlkyClean Process -- 4.3.3 The IFP and Yellowdiesel Processes for Biodiesel Production -- 4.3.4 The ABB Lummus/UOP SMART Process -- 4.4 Exercises -- References -- 5 Biocatalysis -- 5.1 The Basics of Enzymatic Catalysis -- 5.1.1 Terms and Definitions160`-8211`- the Bio Dialect -- 5.1.2 Active Sites and Substrate Binding Models -- 5.1.3 Intramolecular Reactions and Proximity Effects -- 5.1.4 Common Mechanisms in Enzymatic Catalysis -- 5.2 Applications of Enzyme Catalysis. 5.2.1 Whole-Cell Systems vs. Isolated Enzymes -- 5.2.2 Immobilised Enzymes: Bona Fide Heterogeneous Catalysis -- 5.2.3 Replacing `Conventional Routes' with Biocatalysis -- 5.2.4 Combining `Bio' and `Chemo' Catalysis -- 5.3 Developing New Biocatalysts: Better than Nature's Best -- 5.3.1 Prospecting Natural Diversity -- 5.3.2 Rational Design -- 5.3.3 Directed Evolution -- 5.4 Non-enzymatic Biocatalysts -- 5.4.1 Catalytic Antibodies (Abzymes) -- 5.4.2 Catalytic RNA (Ribozymes) -- 5.5 Industrial Examples -- 5.5.1 High-Fructose Corn Syrup: 11 Million Tons per Year -- 5.5.2 The Mitsubishi Rayon Acrylamide Process -- 5.5.3 The BMS Paclitaxel Process -- 5.5.4 The Tosoh/DSM Aspartame Process -- 5.6 Exercises -- References -- 6 Computer Applications in Catalysis Research -- 6.1 Computers as Research Tools in Catalysis -- 6.2 Modelling of Catalysts and Catalytic Cycles -- 6.2.1 A Short Overview of Modelling Methods -- 6.2.2 Simplified Model Systems vs. Real Reactions -- 6.2.3 Modelling Large Catalyst Systems Using Classical Mechanics -- 6.2.4 In-Depth Reaction Modelling Using Quantum Mechanics -- 6.3 Predictive Modelling and Rational Catalyst Design -- 6.3.1 Catalysts, Descriptors, and Figures of Merit -- 6.3.2 Three-Dimensional (3D) Descriptors of Homogeneous Catalysts -- 6.3.3 Two-Dimensional (2D) Descriptors of Homogeneous Catalysts -- 6.3.4 Descriptors of Heterogeneous (Solid) Catalysts -- 6.3.5 Predictive Modelling in Biocatalysis -- 6.3.6 Generating Virtual Catalyst Libraries in Space160` A -- 6.3.7 Understanding Catalyst Diversity -- 6.3.8 Virtual Catalyst Screening: Connecting Spaces160` A, B, and C -- 6.4 An Overview of Data Mining Methods in Catalysis -- 6.4.1 Principal Components Analysis (PCA) -- 6.4.2 Partial Least-Squares (PLS) Regression -- 6.4.3 Artificial Neural Networks (ANNs) -- 6.4.4 Classification Trees. 6.4.5 Model Validation: Separating Knowledge from Garbage -- 6.5 Exercises -- References -- Index -- EULA. EBL201710 Chemical Physics and Chemistry SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5018400 ebook n 201741 201710 21 PUBLIC BOOK DELETED 2288934 SzGeCERN 20171214170231.0 9783662554982 (electronic bk.) electronic version 9783662554968 electronic version EBL 5015931 eng QC71.82-73.8 621.042 Chen, Bin Biogas systems in China Berlin Springer 2017 166 p Preface -- Acknowledgements -- Contents -- About the Authors -- List of Figures -- List of Tables -- 1 History of Biogas Production in China -- Abstract -- 1.1 The History of Biogas in China -- 1.2 Significance of Developing Biogas in China -- 1.3 Policies for Biogas Projects -- 1.3.1 Energy Policies for Biogas Projects -- 1.3.2 Environmental Policies for Biogas Projects -- 1.3.3 Economic Policies for Biogas Projects -- 1.3.4 Standards for Biogas Projects -- 1.4 Development of Biogas Industrialization -- 1.4.1 Introduction of Biogas Production -- 1.4.2 Biogas Plant Industry -- 1.4.3 Biogas Equipment Industry -- 1.4.4 Biogas Service Industry -- 1.5 Development Planning for Biogas Production -- 1.5.1 Developing Motion of Biogas Production -- 1.5.2 Rural Biogas Development Policies -- References -- 2 Main Methods -- Abstract -- 2.1 Life-Cycle Assessment (LCA) -- 2.1.1 Background of LCA -- 2.1.2 Methodology of LCA -- 2.1.3 LCA-Based Integrated Evaluation Indices -- 2.2 Economic Assessment -- 2.2.1 Cost-Benefit Analysis -- 2.2.2 Data Envelopment Analysis (DEA) -- 2.3 Emergy Analysis -- 2.3.1 Emergy Concept -- 2.3.2 Emergy Diagram -- 2.3.3 Emergy Indices -- 2.3.4 Emergetic Ternary Diagrams -- 2.4 Extended Exergy Analysis -- 2.4.1 Extended Exergy Analysis Framework -- 2.4.2 Extended Exergy-Based Sustainability Indexes -- 2.5 Analytic Hierarchy Process -- References -- 3 Four Typical Biogas Systems in China -- Abstract -- 3.1 "Six-in-One" Biogas System (SIOBS) -- 3.1.1 Biogas Plant Construction Stage -- 3.1.2 Biogas Plant Maintenance Stage -- 3.1.3 Feedstock Supply Stage -- 3.1.4 Biogas Energy Utilization Stage -- 3.1.5 Digestate Processing Stage -- 3.2 Biogas-Persimmon Cultivation and Processing System (BCPS) -- 3.2.1 Biogas Infrastructure (Fraction I) -- 3.2.2 Biogas System Operation (Fraction II). 3.2.3 Digestate Reuse for Persimmon Cultivation (Fraction III) -- 3.2.4 Biogas Utilization for Persimmon Processing (Fraction IV) -- 3.3 Wastewater Treatment Plants (WWTPs) -- 3.3.1 WWTP Construction Stage -- 3.3.2 WWTP Operation and Maintenance Stage -- 3.3.3 Biogas-Sludge Use Stage -- 3.4 "Three-in-One" Biogas Project -- References -- 4 Environment Emissions of Household Biogas Project -- Abstract -- 4.1 Biogas-Persimmon Cultivation and Processing System (BCPS) -- 4.1.1 Emissions Inventory -- 4.1.2 GHG Emissions Mitigation -- 4.2 Wastewater Treatment Plants (WWTPs) -- 4.2.1 Emissions Inventory -- 4.2.2 Environmental Impact Mitigation -- 4.3 'Six in One' Biogas System (SIOBS) -- 4.3.1 System Inventory -- 4.3.2 Overall Environmental Evaluation -- 4.3.3 Sensitivity Analysis -- 4.3.4 Digestate Reuse -- 4.3.5 Environmental Benefit Under Different Scenarios -- References -- 5 Energy Evaluation of Household Biogas Project -- Abstract -- 5.1 Life-Cycle Energy Evaluation -- 5.2 Case Study of BCPS -- 5.3 "Six in One" Biogas System (SIOBS) -- 5.3.1 Overall Energy Evaluation -- 5.3.2 Sensitivity Analysis -- 5.3.3 Environmental Benefit Under Different Scenarios -- 5.3.4 Digestate Reuse -- 5.4 Wastewater Treatment Plants (WWTPs) -- 5.4.1 Energy Input-Output Analysis -- 5.4.2 System Energy Production -- 5.4.3 Sensitivity Analysis -- References -- 6 Economic Assessment of Household Biogas Project -- Abstract -- 6.1 Economic Feasibility Analysis -- 6.1.1 System Boundary -- 6.1.2 Economic Costs and Benefits -- 6.1.3 Financial Analysis -- 6.2 DEA Analysis -- 6.2.1 Input and Output Variables -- 6.2.2 Economic Efficiency Evaluation -- 6.2.3 Economic Efficiency Optimization -- 6.3 Policy Implication -- References -- 7 Emergy Analysis of Biogas-Linked Agricultural System -- Abstract -- 7.1 Emergy Analysis -- 7.1.1 Methodology -- 7.1.2 Results and Discussion. 7.1.3 Concluding Remarks -- 7.2 Scenarios Analysis Based on Emergy Analysis -- 7.2.1 Materials and Methods -- 7.2.2 Emergy-Based Analysis of BLAS -- 7.2.3 Scenario Analysis -- 7.2.4 Discussion and Conclusions -- 7.3 Three-Level Emergetic Evaluation -- 7.3.1 Materials and Methods -- 7.3.2 Results and Discussion -- 7.3.3 Conclusions -- References -- 8 Sustainability and Indicator System -- Abstract -- 8.1 Extended Exergy-Based Sustainability Accounting -- 8.1.1 System Boundary -- 8.1.2 Results and Discussion -- 8.1.3 Conclusions -- 8.2 Indicator System for Impact Assessment -- 8.2.1 Data Sources -- 8.2.2 Analytic Hierarchic Process -- 8.2.3 Results and Discussion -- 8.2.4 Conclusions -- References. Hayat, Tasawar Alsaedi, Ahmed 9783662554968 print version oai:cds.cern.ch:2288934 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5015931 ebook ebook EBL201710 Engineering SzGeCERN BOOK n 201741 201710 21 PUBLIC BOOK DELETED 2288900 SzGeCERN 20210421210204.0 9781510601505 print version 9781510601512 electronic version electronic version oai:cds.cern.ch:2288900 cerncds:BOOK EBL 4988034 eng G70.4.O47 2016 621.3678 Olsen, RC Remote sensing from air and space 2nd ed. Bellingham Society of Photo-Optical Instrumentation Engineers 2016 311 p ebook Copyright -- Preface -- Chapter 1 Introduction to Remote Sensing -- 1.1 Order of Battle -- 1.1.1 Air order of battle -- 1.1.2 Electronic order of battle -- 1.1.3 Space order of battle -- 1.1.4 Naval order of battle -- 1.1.5 Industrial order of battle -- 1.2 Technology Survey -- 1.2.1 Imaging the whole earth: optical and infrared imaging -- 1.2.1.1 Geostationary Operational Environmental Satellite (GOES): whole-earth visible imaging -- 1.2.1.2 GOES: whole-earth infrared imaging -- 1.2.2 Earth resources systems: 30-m pixels -- 1.2.2.1 Landsat 7 (30 m), San Diego -- 1.2.2.2 SSTL/DMC (30 m) -- 1.2.3 Higher resolution: 1-3-m ground sample distance -- 1.2.3.1 Worldview-3: San Diego and Coronado Island -- 1.2.3.2 High-resolution airborne LiDAR -- 1.2.4 High-resolution airborne imagery -- 1.2.5 Synthetic aperture radar (SAR) -- 1.3 Three Axes -- 1.4 Resources -- 1.5 Problems -- Chapter 2 Electromagnetic Basics -- 2.1 The Electromagnetic Spectrum -- 2.1.1 Maxwell's equations -- 2.2 Polarization of Radiation -- 2.3 Energy in Electromagnetic Waves -- 2.3.1 Photoelectric effect -- 2.3.2 Photomultiplier tubes -- 2.4 Sources of Electromagnetic Radiation -- 2.4.1 Line spectra -- 2.4.2 Blackbody radiation -- 2.5 Electromagnetic-Radiation-Matter Interactions -- 2.5.1 Transmission -- 2.5.2 Reflection -- 2.5.3 Scattering -- 2.5.4 Absorption -- 2.6 Problems -- Chapter 3 Optical Imaging -- 3.1 The First Remote-Sensing Satellite: Corona -- 3.1.1 History -- 3.1.2 Technology -- 3.1.3 Illustrations -- 3.2 Atmospheric Absorption, Scattering, and Turbulence -- 3.2.1 Atmospheric absorption: wavelength dependence -- 3.2.2 Atmospheric scattering -- 3.2.3 Atmospheric turbulence -- 3.3 Basic Geometrical Optics -- 3.3.1 Focal length/geometry -- 3.3.2 Optical diagram: similar triangles and magnification -- 3.3.3 Aperture (f/stop) -- 3.3.4 Image formation by lens or pinhole. 3.4 Diffraction Limits: The Rayleigh Criterion -- 3.5 Detectors -- 3.5.1 Solid state -- 3.5.2 Focal plane arrays -- 3.5.3 Uncooled focal planes: microbolometers -- 3.6 Imaging System Types, Telemetry, and Bandwidth -- 3.6.1 Imaging system types -- 3.6.1.1 Framing systems (Corona) -- 3.6.1.2 Cross-track (Landsat MSS, TM -- AVIRIS) -- 3.6.1.3 Along-track (IKONOS, Quickbird, Worldview) -- 3.7 Telemetry Strategies -- 3.7.1 Direct downlink -- 3.7.2 Relay -- 3.7.3 Store and dump -- 3.8 Bandwidth and Data Rates -- 3.9 Problems -- Chapter 4 Optical Satellite Systems -- 4.1 Hubble: The Big Telescope -- 4.1.1 The Hubble satellite -- 4.1.2 The Hubble telescope design -- 4.1.3 The Hubble detectors: Wide-Field and Planetary Camera 2 -- 4.1.4 The repair missions -- 4.1.5 Operating constraints -- 4.1.5.1 South-Atlantic anomaly -- 4.1.5.2 Spacecraft position in orbit -- 4.2 Commercial Remote Sensing: IKONOS and Quickbird -- 4.2.1 IKONOS satellite -- 4.2.1.1 Imaging sensors and electronics for the IKONOS satellite -- 4.2.2 NOB with IKONOS: Severodvinsk -- 4.3 The Earth at Night -- 4.4 Exposure Times -- 4.5 Problems -- Chapter 5 Orbital Mechanics Interlude -- 5.1 Gravitational Force -- 5.2 Circular Motion -- 5.2.1 Equations of motion -- 5.2.2 Centripetal force -- 5.3 Satellite Motion -- 5.3.1 Illustration of geosynchronous orbit -- 5.4 Kepler's Laws -- 5.4.1 Elliptical orbits -- 5.4.2 Equal areas are swept out in equal times -- 5.4.3 Orbital period: t2 ∝ r3 -- 5.5 Orbital Elements -- 5.5.1 Semi-major axis -- 5.5.2 Eccentricity -- 5.5.3 Inclination angle -- 5.5.4 Right ascension of the ascending node -- 5.5.5 Closest point of approach (argument of perigee) -- 5.6 A Few Standard Orbits -- 5.6.1 Low-earth orbit -- 5.6.2 Medium-earth orbit -- 5.6.3 Geosynchronous orbit -- 5.6.4 Molniya (HEO) -- 5.6.5 Summary of orbital values -- 5.7 Bandwidth, Revisited -- 5.8 Problems. Chapter 6 Spectral and PolarimetricImagery -- 6.1 Reflectance of Materials -- 6.2 Human Visual Response -- 6.3 Spectral Technologies -- 6.4 Landsat -- 6.4.1 Landsat orbit -- 6.4.2 Landsat sensors -- 6.4.2.1 Return Beam Vidicon -- 6.4.2.2 Multispectral Scanner -- 6.4.2.3 Thematic Mapper -- 6.4.3 Landsat data links -- 6.4.4 Landsat 8 detectors: Operational Land Imager (OLI) and Therma lInfrared Sensor (TIRS) -- 6.5 Spectral Responses for Commercial Systems -- 6.6 Analysis of Spectral Data: Band Ratios and NDVI -- 6.7 Analysis of Spectral Data: Color Space and Spectral Angles -- 6.8 Imaging Spectroscopy -- 6.8.1 AVIRIS -- 6.8.2 Hyperion -- 6.8.3 MightySat II: Fourier-Transform Hyperspectral Imager -- 6.9 Optical Polarization -- 6.10 Problems -- Chapter 7 Image Analysis -- 7.1 Interpretation Keys (Elements of Recognition) -- 7.1.1 Shape -- 7.1.2 Size -- 7.1.3 Shadow -- 7.1.4 Height (depth) -- 7.1.5 Tone or color -- 7.1.6 Texture -- 7.1.7 Pattern -- 7.1.8 Association -- 7.1.9 Site -- 7.1.10 Time -- 7.2 Image Processing -- 7.2.1 Univariate statistics -- 7.2.2 Dynamic range: snow and black cats -- 7.3 Histograms and Target Detection -- 7.4 Multi-dimensional Data: Multivariate Statistics -- 7.5 Filters -- 7.5.1 Smoothing -- 7.5.2 Edge detection -- 7.6 Supplemental Notes on Statistics -- 7.7 Problems -- Chapter 8 Thermal Infrared -- 8.1 IR Basics -- 8.1.1 Planck's radiation formula -- 8.1.2 Stefan-Boltzmann: radiance aT -- 8.1.3 Wien's displacement law -- 8.1.4 Emissivity -- 8.1.5 Atmospheric absorption -- 8.2 Radiometry -- 8.2.1 Point source radiometry -- 8.2.2 Radiometry for resolved targets -- 8.3 More IR Terminology and Concepts -- 8.3.1 Signal-to-noise ratio: NEDT -- 8.3.2 Kinetic temperature -- 8.3.3 Thermal inertia, conductivity, capacity, and diffusivity -- 8.3.3.1 Heat capacity (specific heat) -- 8.3.3.2 Thermal conductivity -- 8.3.3.3 Inertia. 8.3.3.4 Thermal diffusivity -- 8.3.3.5 Diurnal temperature variation -- 8.4 Landsat -- 8.5 Early Weather Satellites -- 8.5.1 TIROS -- 8.5.2 Nimbus -- 8.6 GOES -- 8.6.1 Satellite and sensor -- 8.6.2 Shuttle launch: vapor trail and rocket -- 8.7 Defense Support Program -- 8.8 SEBASS: Thermal Spectral -- 8.8.1 Hard targets -- 8.8.2 Gas measurements: Kilauea, Pu 'u 'O 'o vent -- 8.9 Problems -- Chapter 9 Radio Detection and Ranging (RADAR) -- 9.1 Imaging Radar -- 9.1.1 Imaging radar basics -- 9.2 Radar Resolution -- 9.2.1 Range resolution -- 9.2.2 Signal modulation -- 9.2.3 Azimuth resolution -- 9.2.4 Beam pattern and resolution -- 9.2.5 Synthetic-aperture radar -- 9.3 Radar Cross-Section and Polarization -- 9.4 Radar Range Equation -- 9.5 Wavelength -- 9.6 SAR Image Elements -- 9.6.1 Dielectric constant: soil moisture -- 9.6.2 Roughness -- 9.6.3 Tetrahedrons/corner reflectors: the cardinal effect -- 9.7 Problems -- Chapter 10 Radar Systems and Applications -- 10.1 Shuttle Imaging Radar -- 10.2 Soil Penetration -- 10.3 Ocean Surface and Shipping -- 10.3.1 SIR-C: Oil slicks and internal waves -- 10.3.2 RADARSAT: Ship detection -- 10.3.3 TerraSar-X: Gibraltar -- 10.3.4 ERS-1: Ship wakes and Doppler effects -- 10.4 Multi-temporal Images: Rome -- 10.5 Sandia Ku-Band Airborne Radar: Very High Resolution -- 10.6 Radar Interferometry -- 10.6.1 Coherent change detection -- 10.6.2 Topographic mapping -- 10.7 The Shuttle Radar Topographic Mapping (SRTM) Mission -- 10.7.1 Mission design -- 10.7.2 Mission results: level-2 terrain-height datasets (digital topographic maps) -- 10.8 TerraSAR-X and TanDEM-X -- 10.9 Problems -- Chapter 11 Light Detection and Ranging -- 11.1 Introduction -- 11.2 Physics and Technology: Airborne and Terrestrial Scanners -- 11.2.1 Lasers and detectors -- 11.2.2 Laser range resolution and the LiDAR equation. 11.3 Airborne and Terrestrial Systems -- 11.3.1 Airborne Oceanographic LiDAR -- 11.3.2 Commercial LiDAR systems -- 11.4 Point Clouds and Surface Models -- 11.5 Bathymetry -- 11.6 LiDAR from Space -- 11.7 Problems -- Afterword -- Appendix 1 Derivations -- A1.1 Derivation of the Bohr Atom -- A1.1.1 Assumption 1: the atom is held together by the Coulomb force -- A1.1.2 Assumption 2: the electron moves in an elliptical orbit around the nucleus (as in planetary motion) -- A1.1.3 Assumption 3: quantized angular momentum -- A1.1.4 Assumption 4: radiation is emitted only from transitions between the discrete energy levels -- A1.2 Dielectric Theory -- A1.3 Derivation of the Beam Pattern for a Square Aperture -- Appendix 2 Corona -- A2.1 Mission Overview -- A2.2 Camera Data -- A2.3 Mission Summary -- A2.4 Orbits: An Example -- Appendix 3 Tracking and Data Relay Satellite System -- A3.1 Relay Satellites: TDRSS -- A3.2 White Sands -- A3.3 TDRS 1-7 -- A3.3.1 Satellites -- A3.3.2 Payload -- A3.4 TDRS 8-10 -- A3.4.1 TDRS 8-10: payload characteristics -- A3.4.1.1 S-band multiple access -- A3.4.1.2 Two single-access antennas -- A3.4.1.3 Space-ground-link antenna (Ku-band) -- A3.5 TDRS K, L, M -- Appendix 4 Useful Equations and Constants -- Author Biography. EBL201710 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4988034 ebook n 201741 201710 21 PUBLIC https://catalogue.library.cern/legacy/2288900 BOOK MIGRATED 2288888 SzGeCERN 20171214170735.0 9783319623504 (electronic bk.) electronic version 9783319623498 electronic version EBL 4987741 eng QC71.82-73.8 621.042 Soroudi, Alireza Power system optimization modeling in GAMS Cham Springer 2017 309 p Preface -- Acknowledgments -- Contents -- List of Figures -- List of Tables -- 1 Introduction to Programming in GAMS -- 1.1 Optimization Problems in Power System -- 1.2 GAMS Installation -- 1.3 GAMS Elements -- 1.4 Conditional Statements -- 1.5 Loop Definition in GAMS -- 1.5.1 LOOP Statement -- 1.5.2 WHILE Statement -- 1.5.3 FOR Statement -- 1.5.4 REPEAT-UNTIL Statement -- 1.6 Linking GAMS and Excels -- 1.6.1 Reading from Excel -- 1.6.2 Writing to Excel -- 1.7 Error Debugging in GAMS -- 1.8 General Programming Remarks -- 1.9 Book Structure -- References -- 2 Simple Examples in GAMS -- 2.1 Different Types of Optimization Models -- 2.1.1 Linear Programming (LP) -- 2.1.1.1 LP Example -- 2.1.1.2 Boundary Determination Example -- 2.1.2 Mixed Integer Programming (MIP) -- 2.1.2.1 MIP Example -- 2.1.2.2 N-Queen Example -- 2.1.2.3 Emergency Center Allocation -- 2.1.3 Nonlinear Programming (NLP) -- 2.1.3.1 NLP Example (2.14) -- 2.1.3.2 Circle Placement Example (2.15) -- 2.1.3.3 Maximizing the Area of a Right Triangle with Constant Circumference -- 2.1.4 Quadratic Constrained Programming (QCP) -- 2.1.4.1 QCP Example (2.17) -- 2.1.4.2 QCP Example (2.18) -- 2.1.5 Mixed Integer Nonlinear Programming (MINLP) -- 2.1.5.1 Minimum Transportation Cost Example (2.19) -- 2.1.5.2 Benefit Maximization Transportation Example (2.20) -- 2.2 Random Numbers in GAMS -- 2.2.1 Estimating the π Number -- 2.2.2 Integration Calculation -- 2.2.3 LP Problems with Uncertain Coefficients -- 2.3 Multi-Objective Optimization -- 2.3.1 Weighted Sum Approach -- 2.3.2 Pareto Optimality -- 2.4 Applications -- References -- 3 Power Plant Dispatching -- 3.1 Thermal Unit Economic Dispatch -- 3.2 Thermal Unit Environmental Dispatch -- 3.3 CHP Economic Dispatch -- 3.4 Hydro Unit Economic Dispatch -- 3.5 Multi-Area Mix Unit Dynamic Dispatch -- 3.6 Applications -- Nomenclature -- References. 4 Dynamic Economic Dispatch -- 4.1 Cost-Based DED -- 4.1.1 Ramp Rate Sensitivity Analysis -- 4.1.2 Multi-Objective Cost-Emission Minimization -- 4.1.3 Wind Integrated DED -- 4.2 Price-Based DED -- 4.2.1 Price-Based DED Just Energy Market -- 4.2.2 Price-Based DED Energy and Reserve Market -- 4.3 Linearized Cost-Based DED -- 4.4 Applications -- Nomenclature -- References -- 5 Unit Commitment -- 5.1 Cost-Based Unit Commitment -- 5.1.1 Cost Calculation -- 5.1.2 Ramp Rate Constraints -- 5.1.3 Min Up/Down Time Constraints -- 5.1.4 Demand-Generation Balance -- 5.2 Cost-Based UC with Additional Constraints -- 5.2.1 Cost-Based UC with Reserve Constraints -- 5.2.2 Cost-Based UC Considering Generator Contingency -- 5.2.3 Cost-Based UC with Demand Flexibility Constraints -- 5.3 Price-Based Unit Commitment -- 5.4 Applications -- 5.4.1 Cost-Based UC -- 5.4.2 Price-Based UC -- References -- 6 Multi-Period Optimal Power Flow -- 6.1 Single Period Optimal DC Power Flow -- 6.1.1 Three-Bus Network DC-OPF -- 6.1.2 Five-Bus Network DC-OPF -- 6.1.3 IEEE Reliability Test System 24 Bus -- 6.1.3.1 IEEE-RTS: Base Case -- 6.1.3.2 IEEE-RTS: Branch Flow Limit Reduction -- 6.1.3.3 IEEE-RTS: Branch Outage -- 6.1.3.4 IEEE-RTS: Generator Outage -- Nomenclature -- 6.2 Multi-Period Optimal Wind-DC OPF -- Nomenclature -- 6.3 Multi-Period Optimal AC Power Flow -- Nomenclature -- References -- 7 Energy Storage Systems -- 7.1 Introduction -- 7.2 ESS Operation -- 7.2.1 ESS Operation in DED -- 7.2.2 ESS Operation in Wind-DED Problem -- 7.2.3 ESS Operation in DC-OPF -- 7.2.4 ESS Operation in AC-OPF -- 7.3 ESS Allocation -- Nomenclature -- 7.4 Applications -- References -- 8 Power System Observability -- 8.1 Min No. PMU Placement -- 8.2 Min Cost PMU placement -- 8.3 Min No. PMU Placement Considering ZIB -- 8.4 Min No. PMU Placement for Maximizing the Observability. 8.5 Min No. PMU Placement Considering Contingencies -- 8.5.1 Loss of PMU -- 8.5.2 Single Line Outage -- 8.6 Multistage PMU Placement -- 8.7 Applications -- References -- 9 Topics in Transmission Operation and Planning -- 9.1 Transmission Network Planning -- 9.1.1 TEP with New Lines Option -- 9.1.1.1 Two Years Planning Period -- 9.1.1.2 Ten Years Planning Period -- 9.1.2 TEP with New Lines and Power FlowController Option -- Nomenclature -- 9.2 Sensitivity Factors in Transmission Networks -- 9.2.1 Generation Shift Factors -- 9.2.1.1 Demand Increase in L2 by 10MW -- 9.2.1.2 Generation Increase in Pg3 by 10MW -- 9.2.2 Line Outage Distribution Factors -- 9.3 Transmission Network Switching -- References -- 10 Energy System Integration -- 10.1 Water-Power Nexus -- 10.2 Gas-Power Nexus -- 10.3 Energy Hub Concept -- 10.3.1 Data -- 10.3.2 Configuration I -- 10.3.3 Configuration II -- 10.3.4 Configuration III -- References -- Index. 9783319623498 print version oai:cds.cern.ch:2288888 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4987741 ebook ebook EBL201710 Engineering SzGeCERN BOOK n 201741 201710 21 PUBLIC BOOK DELETED 2288883 SzGeCERN 20171214170735.0 9783319596952 (electronic bk.) electronic version electronic version 9783319596945 9783319596945 print version oai:cds.cern.ch:2288883 cerncds:BOOK EBL 4987589 eng QC1-75 530 Badin, Gualtiero Variational formulation of fluid and geophysical fluid dynamics mechanics, symmetries and conservation laws Cham Springer 2017 224 p Advances in geophysical and environmental mechanics and mathematics Foreword -- Preface -- Acknowledgements -- Contents -- 1 Fundamental Equations of Fluid and Geophysical Fluid Dynamics -- 1.1 Introduction -- 1.2 The Continuum Hypothesis -- 1.3 Derivation of the Equations of Motion -- 1.3.1 Conservation of Mass -- 1.3.2 Incompressibility and Density Conservation -- 1.3.3 Momentum Equation in an Inertial Frame of Reference -- 1.4 Elementary Symmetries of the Euler's Equation -- 1.4.1 Continuous Symmetries -- 1.4.2 Discrete Symmetries -- 1.4.3 Role of Gravity in Breaking the Symmetries of the Euler's Equation -- 1.5 Momentum Equation in a Uniformly Rotating Frame of Reference -- 1.5.1 Vorticity Equation -- 1.5.2 Planar Flows with Constant Density -- 1.6 Elementary Symmetries of the Vorticity Equation -- 1.6.1 Continuous Symmetries -- 1.6.2 Discrete Symmetries -- 1.6.3 Breaking of Symmetries of the Vorticity Equation in the β Plane -- 1.7 Energy and Enstrophy Conservation -- 1.8 Conservation Laws -- 1.8.1 Kelvin's Circulation Theorem and Conservation of Circulation -- 1.8.2 Potential Vorticity and Ertel's Theorem -- 1.9 Conservation of Potential Vorticity and Models of Geophysical Flows -- 1.9.1 Shallow-Water Model with Primitive Equations -- 1.9.2 Quasi-geostrophic Shallow-Water Model -- 1.9.3 Energy and Enstrophy Conservation for the Quasi-geostrophic Shallow Water Model -- 1.9.4 Quasi-geostrophic Model of a Density Conserving Ocean -- 1.9.5 Quasi-geostrophic Model of a Potential Temperature-Conserving Atmosphere -- 1.9.6 Conservation of Pseudo-Enstrophy in a Baroclinic Quasi-geostrophic Model -- 1.9.7 Surface Quasi-geostrophic Dynamics -- 1.10 Bibliographical Note -- References -- 2 Mechanics, Symmetries and Noether's Theorem -- 2.1 Introduction -- 2.2 Hamilton's Principle of Least Action -- 2.3 Lagrangian Function, Euler--Lagrange Equations and D'Alembert's Principle. 2.4 Covariance of the Lagrangian with Respect to Generalized Coordinates -- 2.5 Role of Constraints -- 2.6 Canonical Variables and Hamiltonian Function -- 2.7 Hamilton's Equations -- 2.8 Canonical Transformations and Generating Functions -- 2.8.1 Phase Space Volume as Canonical Invariant: Liouville's Theorem and Poisson Brackets -- 2.8.2 Casimir Invariants and Invertible Systems -- 2.9 Noether's Theorem for Point Particles -- 2.9.1 Mathematical Preliminary -- 2.9.2 Symmetry Transformations and Proof of the Theorem -- 2.9.3 Some Examples -- 2.10 Lagrangian Formulation for Fields: Lagrangian Depending on a Scalar Function -- 2.10.1 Hamiltonian for Scalar Fields -- 2.11 Noether's Theorem for Fields with the Lagrangian Depending on a Scalar Function -- 2.11.1 Mathematical Preliminary -- 2.11.2 Linking Back to the Physics -- 2.12 Lagrangian Formulation for Fields: Lagrangian Density ƒ -- 2.12.1 Hamilton's Equations for Vector Fields -- 2.12.2 Canonical Transformations and Generating Functionals for Vector Fields -- 2.13 Noether's Theorem for Fields: Lagrangian Density Dependent on Vector Functions -- 2.14 Bibliographical Note -- References -- 3 Variational Principles in Fluid Dynamics, Symmetries and Conservation Laws -- 3.1 Introduction: Lagrangian Coordinates and Labels -- 3.2 Lagrangian Density in Labelling Space -- 3.2.1 Hamilton's Equations -- 3.3 Hamilton's Principle for Fluids -- 3.4 Hamilton's Principle in the Eulerian Framework -- 3.4.1 Equivalence of the Lagrangian and Eulerian Forms of Hamilton's Principle -- 3.5 Symmetries and Conservation Laws -- 3.5.1 Preliminaries and Notation -- 3.5.2 Time Translations Symmetry -- 3.5.3 Particle Relabelling Symmetry -- 3.6 Bibliographical Note -- References -- 4 Variational Principles in Geophysical Fluid Dynamics and Approximated Equations -- 4.1 Introduction. 4.2 Hamilton's Principle, Rotation and Incompressibility -- 4.2.1 Lagrangian Density in a Rotating Frame of Reference -- 4.2.2 Relabelling Symmetry in a Rotating Framework -- 4.2.3 Role of Incompressibility -- 4.3 A Finite Dimensional Example: Dynamics of Point Vortices -- 4.4 Approximated Equations -- 4.4.1 Rotating Shallow Water Equations -- 4.4.2 Two-Layer Shallow Water Equations -- 4.4.3 Rotating Green--Naghdi Equations -- 4.4.4 Shallow Water Semi-geostrophic Dynamics -- 4.4.5 Continuously Stratified Fluid -- 4.5 Selected Topics in Wave Dynamics -- 4.5.1 Potential Flows and Surface Water Waves -- 4.5.2 Luke's Variational Principle -- 4.5.3 Whitham's Averaged Variational Principle and Conservation of Wave Activity -- 4.5.4 Example 1: The Linear Klein--Gordon Equation -- 4.5.5 Example 2: The Nonlinear Klein--Gordon Equation -- 4.5.6 Example 3: The Korteweg--DeVries (KdV) Equation -- 4.6 Bibliographical Note and Suggestions for Further Reading -- References -- Appendix A Derivation of Equation 1.21.2) -- Appendix B Derivation of the Conservation of Potential Vorticity from Kelvin's Circulation Theorem -- Appendix C Some Simple Mathematical Properties of the Legendre Transformation -- Appendix D Derivation of Equation 2.142 -- Appendix E Invariance of the Equations of Motion 2.144 Under a Divergence Transformation -- Appendix F Functional Derivatives -- Appendix G Derivation of Equation 2.229 -- Appendix H Invariance of the Equations of Motion 2.217 Under a Divergence Transformation -- Appendix I Proofs of the Algebraic Properties of the Poisson Bracket -- Appendix J Some Identities Concerning the Jacobi Determinant -- Appendix K Derivation of 3.131 -- Appendix L Scaling the Rotating Shallow Water Lagrangian Density. Crisciani, Fulvio https://cds.cern.ch/auth.py?r=EBLIB_P_4987589 ebook 201710 n 201741 ebook EBL201710 SzGeCERN Other Fields of Physics BOOK 21 PUBLIC BOOK DELETED 2288873 SzGeCERN 20171214170733.0 9783319570709 (electronic bk.) electronic version 9783319570686 electronic version EBL 4926890 eng QC71.82-73.8 004.24 Issa, Tomayess Sustainability, green IT and education strategies in the twenty-first century Cham Springer 2017 606 p Green energy and technology Foreword -- Preface -- References -- Acknowledgements -- Contents -- Changing the Students' Mind-set via Sustainability -- 1 Introduction -- 2 What is Sustainability? -- 3 Sustainability in the Higher Education Curriculum - ITS65 Unit -- 3.1 Reflective Journal Assessment -- 3.2 Individual Presentation of an IT Sustainable Strategy & Report Writing -- 3.3 Wiki Tool -- 4 Methodology and Research Question -- 5 Participants -- 6 Results -- 7 Discussion and Lessons Learned -- 8 Conclusion -- References -- Sustainability Perspective and Awareness Amongst Higher Education in Australia -- 1 Introduction -- 2 What is Sustainability? -- 3 Research Method and Questions -- 4 Results -- 5 Discussion and New Findings -- 6 Conclusion -- References -- Sustainable Development, Ethics, Strategy and International Higher Education: The Case of Australia and France -- 1 Introduction -- 2 Literature Review -- 2.1 Sustainability, Ethics and Global Business -- 2.2 Reflection and Critical Reflective Thinking -- 3 Methodology and Discussions -- 3.1 Teaching Methods -- 3.2 Course (Unit) Development and Discussions -- 3.3 Course (Unit) Delivery Mode and Discussions -- 3.4 Assessments and Discussions -- 4 Lecturer/Facilitator's Personal Reflection -- 4.1 Limitations and Implications -- 5 Conclusion -- Acknowledgements -- References -- From Understanding Net Generation Expectation to Sustainable Student Engagement -- 1 Introduction -- 2 What Is Student Engagement? -- 3 Learning Theories -- 3.1 Constructivism -- 3.2 Social Constructivism -- 3.3 Cognitive Constructivism -- 3.4 Connectivism -- 3.5 Complexity Theory -- 4 Research Questions -- 5 Case Study -- 6 Research Method -- 7 Results, Discussion and New Findings -- 8 Limitations and Future Research -- 9 Conclusion -- References. Understanding "Sustainability" and Attitudes of Students to the Concept of "Sustainable Development" in China and the UK -- 1 Introduction -- 2 Self-definition -- 3 Circular Arguments -- 4 Sustainability -- 4.1 Differing Conceptions of Man and Nature -- 4.2 Sustainability in the UK and China -- 4.3 Sustainability in China -- 4.4 Development and Pollution -- 5 Framework and Method -- 6 Advantages and Disadvantages -- 7 Results and Discussion -- 8 Conclusion -- References -- Sustainability Awareness in Thailand -- 1 Introduction -- 1.1 Background of Chapter Topic -- 2 Background of Research -- 2.1 Introduction -- 2.2 What Is Sustainability? -- 2.2.1 Environmental Sustainability -- 2.2.2 Economic Sustainability -- 2.2.3 Social Sustainability -- 2.3 History of Sustainability -- 2.4 Sustainable Development Goals -- 2.5 Triple Bottom Line - People, Planet, and Profit -- 2.6 Corporate Social Responsibility (CSR) -- 2.6.1 Roles of Corporate Social Responsibility -- 2.6.2 The Benefits of Corporate Social Responsibility -- 2.6.3 Divisions of Corporate Social Responsibility (CSR) -- 2.6.4 Types of Corporate Social Responsibility (CSR) -- 2.6.5 Corporate Social Responsibility (CSR) vs Sustainable Development (SD) -- 2.7 What Does Sustainability Mean for Business/Education? -- 2.8 Current Progress Level of Sustainability -- 2.9 Sustainability in Developing Countries -- 2.10 Sustainability in Thailand -- 2.10.1 History of Thailand -- 2.10.2 Thailand at the Present -- 2.10.3 The Importance to Thailand of the Climate Change Agreement -- 2.11 Advantages (Based on the Survey) -- 3 Research Methods and Questions -- 3.1 Research Question -- 3.2 Research Methods -- 3.3 Research Design -- 3.3.1 Unit of Analysis -- 3.3.2 Target Population and Sample -- 3.3.3 Data Collection -- 3.3.4 Data Analysis -- 3.3.5 Research Instrument -- 3.3.6 Reliability and Validity -- 4 Results. 4.1 Survey Results -- 4.2 Process for Carrying Out Factor Analysis -- 4.3 Factor Analysis Reporting -- 4.3.1 Type of Factor Analysis -- 4.3.2 Measures of Sample Adequacy -- 4.3.3 Type of Factors -- 4.3.4 Factor Rotation -- 4.3.5 Result of the Reliability of Data -- 4.3.6 Factor Analysis Result for Opportunities -- 4.3.7 Naming Factor for Opportunities -- 4.3.8 Factor Analysis for Risks -- 4.3.9 Naming Factors for Risks -- 5 Discussions and New Significance -- 6 Limitations -- 6.1 Time -- 6.2 Sampling -- 6.3 Incomplete Surveys -- 7 Conclusion -- References -- Sustainability Awareness in Vietnam's Higher Education Sector -- 1 Introduction -- 2 Sustainability -- 2.1 Sustainability Advantages -- 2.1.1 Financial -- Reducing Resource Usage -- Decreasing Raw Material Consumption -- Increasing Efficiency -- 2.1.2 Reputation -- Enhanced Corporate Social Responsibility -- Improved Triple Bottom Line -- Improve Community Investment -- 2.1.3 Human Resources and Stakeholders -- Attract New Employees -- Meet stakeholder expectations -- 2.1.4 Environmental -- Reduce Carbon Footprint -- Reduce Pollution -- Reduce Health Hazards -- 2.2 Sustainability Disadvantages -- 2.2.1 Cost of Inflation -- 2.2.2 New Regulation -- 2.2.3 Fraud Allegation -- 2.2.4 Increase Supply Chain Crises -- 2.2.5 Technology and Material Costs -- 2.2.6 Sustainability and the Future -- 3 Research Method and Research Question -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- The Opportunities and Risks of Sustainability Awareness in Sri Lankan Organizations -- 1 Introduction -- 2 What Is Sustainability? -- 3 History of Sustainability and Consequences of Being Unsustainable -- 4 Triple Bottom Line -- 5 What Does This Mean for Business/Education? -- 6 Impact on Environment of Failure to Follow Sustainable Standards -- 7 Concept of Sustainability in Business -- 7.1 Education. 8 Sustainability in Developing Countries -- 9 Sustainability in Sri Lanka -- 10 Advantages and Disadvantages of Survey Outcome -- 11 Research Method and Question -- 12 Results -- 12.1 Opportunity Analysis -- 12.1.1 Rotated Component Matrix -- 12.2 Risk Analysis -- 13 Discussion and New Significance -- 14 Limitations -- 15 Conclusion -- References -- The Advantages and Risks of Sustainability Awareness in the Indian Higher Education Sector -- 1 Introduction -- 2 Sustainability -- 3 Research Methods and Question -- 4 Results -- 5 Discussion and New significance -- 6 Limitations -- 7 Conclusion -- References -- Sustainability in Organizations: Bhutan's Perspective -- 1 Introduction -- 2 Sustainability -- 3 Research Questions and Methods -- 4 Results -- 5 Discussion and New Significance -- 6 Limitations -- 7 Conclusion -- References -- Sustainability Awareness in Singapore's Higher Education Sector -- 1 Introduction -- 2 Background of the Research -- 2.1 Sustainability in Education -- 3 Research Method and Question -- 4 Results -- 5 Discussion and New Significance -- 6 Conclusion -- References -- Examining the Opportunities and Risks Associated with Sustainability Awareness in Higher Education in Pakistan -- 1 Introduction -- 2 Sustainability Awareness -- 3 Research Question and the Chosen Research Method -- 4 Results -- 5 Discussion and New Significance -- 6 Research Limitations -- 7 Future Research -- 8 Conclusion -- References -- Sustainability Awareness in Saudi Arabia -- 1 Introduction -- 2 Sustainability Background -- 3 Methodology -- 4 Data Analysis -- 4.1 Opportunities Related to Sustainability Awareness in Saudi Arabia -- 4.2 Risks Related to Sustainability Awareness in Saudi Arabia -- 5 Discussion of Findings and New Significance -- 6 Conclusion -- References -- Sustainability Awareness: Colombia Perspective -- 1 Introduction. 2 What Is Sustainability? -- 3 Sustainable Development -- 4 Difference Between Sustainable Development and Sustainable Growth -- 5 Economic Debate -- 6 What Does Sustainability Mean for Business? -- 7 Current Progress Level of Sustainability -- 8 Sustainability, Future and Technology -- 9 Advantages and Disadvantages of Sustainability -- 10 Sustainability in Developing Countries -- 11 Sustainability in Colombia -- 12 The Chosen Research Method and Research Question -- 13 Data Analysis and Discussion -- 13.1 Reliability Statistics for Opportunities and Risks -- 13.2 Factor Analysis for Opportunities -- 13.3 Factor Analysis for Risks -- 14 Conclusion from the Analysis -- 15 Limitations of the Study -- 16 Future Research -- 17 Recommendations -- 18 Conclusion -- References -- Sustainability Awareness in the Brazilian Higher Education -- 1 Introduction -- 2 Background of Research -- 2.1 What is Sustainability? -- 2.2 The History of Sustainability -- 2.3 What Sustainability Means for Business -- 2.4 Current Progress Level of Sustainability -- 2.5 Sustainability in Developing Countries -- 2.6 Sustainability in Brazil -- 2.7 Sustainability and the Future -- 3 Research Methods and Questions -- 4 Results -- 4.1 Positive and Negative Aspects Associate With the Adoption of Sustainability -- 5 Discussion and New Significance -- 6 Limitation -- 7 Future Research -- 8 Recommendations -- 9 Conclusion -- References -- Sustainability and Green Supply Chain Awareness in Nigerian Organizations -- 1 Introduction -- 2 The Concept of Sustainability and Green Supply Chain Management -- 2.1 Sustainability and Green Supply Chain Management -- 2.2 History of Sustainability -- 3 Sustainability Significance for Business and Education -- 4 Sustainability in Developing Countries -- 5 Advantages and Barriers of Sustainability and Green Supply Chain. 6 Research Method and Question. Issa, Theodora 9783319570686 print version oai:cds.cern.ch:2288873 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4926890 ebook ebook EBL201710 Computing and Computers SzGeCERN BOOK n 201741 201710 21 PUBLIC BOOK DELETED 2288862 SzGeCERN 20171214170731.0 9780081017616 (electronic bk.) electronic version 9780081017609 electronic version EBL 4923790 eng TK1005.C537 2017 621.30999999999995 Clark, Woodrow W Agile energy systems global distributed on-site and central grid power 2nd ed. Oxford Elsevier Science 2017 330 p Elsevier global energy policy and economics Front Cover -- Agile Energy Systems: Global Distributed On-Site and Central Grid Power -- Copyright -- Contents -- Contributors -- Overview -- References -- About the Author -- Woodrow W. Clark II MA3, PhD -- Introduction -- References -- Further Reading -- Chapter 1: The End of the Fossil Fuel Industrial Revolutions: The Case of California in the United States -- The Vertically Integrated Utility -- Nuclear Power Energy Plants -- Energy Growth Issues -- Revised Electricity Demand Estimates -- PURPA History and Contracts -- Conservation and Efficiency -- The Emergence of the Transition Phase -- The Political Economic Tensions That Led to California's Energy Crisis -- Self-Generation and Nonutility Supplier Pressure From Large Consumers -- Out-of-State Surplus -- Fuel Costs Fall -- Nuclear Plant Issues: Diablo Canyon -- Dispersed System Solutions Abandoned -- Deregulation Debacle -- End of Out-of-State Energy Surplus by 2000 -- The US Energy Crisis at the Turn of the 21st Century -- Sustainability is the Future to Stop a California Electrical Crisis -- Conclusion and Lessons From California -- References -- Further Reading -- Chapter 2: The Green Industrial Revolution (GIR) Is Here Today -- Conclusion -- References -- Further Reading -- Chapter 3: The Global Context for Changes in the Energy System -- Introduction -- Perspectives on Energy System Changes -- On-Site Distributed Power and Liberalization -- Consolidation and Global Electric Companies -- Competitiveness in the Energy System -- The Transmission System in a Competitive System -- Sustainable Technologies and Environmental Issues -- Energy Corporate-Civic Governance -- Policies and Economics for the Future of Agile Energy Systems -- Conclusion -- References -- Further Reading -- Chapter 4: Global Changes in Energy Systems: Central Power and On-Site Distributed. Regional and Nation-State Experiences -- Overview of European Electricity System -- Northern European Grid System -- Norway -- Sweden -- Denmark -- Finland -- NordPool Spot Market -- Denmark -- Decentralization and Operation of the Energy System -- Danish Policy Measures -- Danish Wind Development -- Danish Biomass Development -- Germany -- The Electricity Sector for Renewable Energy -- Nuclear Energy in Germany -- Solar Development -- Wind Development -- German Biomass -- CHP Utilization/German Heating/Renewable Heating Sector -- German Electricity Grid -- German Electricity Market -- German RE Policy -- Offshore Wind Policy -- Summary of Nordic Countries (Denmark) and Germany -- References -- Further Reading -- Chapter 5: Developing Nations: Africa, Latin America, and Island Nations -- Electrification of Africa -- South Africa -- Botswana -- Latin America -- Electrification in Chile: A Success Story -- Electrification in Brazil -- Electrification of Island Nations -- Electrification in Cuba -- Electrification in the Philippines -- Electrification in Indonesia -- References -- Further Reading -- Chapter 6: Technologies, Changes, and Impacts: From a Vertically Integrated to Dispersed Energy Systems -- Historical Overview -- Theoretical Underpinnings of Dispersed Systems -- Concentrated or Central Grid Energy System Challenge -- Transitions in Key Technologies Created Alternatives to the Old Model -- Large and Centralized Generators and Utilities Became Less Competitive -- Renewable and "Alternative" Technologies Became Cost Competitive -- The Old Utility Model Was Unable to Deal With Externalities Such as Nuclear Waste, Air Pollution, or Global Warming -- Diversification-The Uneven Commitment to Diverse Supply -- Shaping Demand and Flexibility in Meeting Supply -- Integrated Planning and Demand-Side Management. Transmission Issues: Grid Expanded to Include Wheeling -- Conclusion -- References -- Further Reading -- Chapter 7: Agile Energy System: Integrated GIR Technologies Into Infrastructures -- Integrated Hybrid for Infrastructure Systems -- Conclusion -- References -- Further Reading -- Chapter 8: The Next Economic Model -- Introduction -- Economic Models and Premises of Restructuring -- Neoclassical Premises and Assumptions -- Conclusion: The failure of Neoclassical Economics in Energy Planning in Complex Systems -- References -- Further Reading -- Chapter 9: Complex Infrastructures: The Role of Government in Planning for Agile Energy Systems -- Introduction -- Planning for Uncertainty and Risk Aversion -- Meeting the Energy Infrastructure Challenge -- Role of Government in Planning -- Short Term Energy Trends and Issues -- Long-Term Plans: Renewable Portfolio Standards -- Framework for Energy Infrastructure Planning -- Case Study: On-site Distributed Renewable Energy Systems -- Return on Investment Public Finance Model: The Potential for Renewable and On-site Power -- Proposed Strategies for State Government -- Technology Transfer and Commercialization -- Planning and Implementation -- Conclusion -- References -- Chapter 10: Conclusions: Implementing the Smart Green Development Revolution Through Agile Energy Systems -- Introduction -- The Transition in Energy From Chaos to What Works -- The Challenge of the Localization Model -- Toward Worldwide Agile Energy Infrastructure Systems -- Technological Benefits -- Civic and Social Benefits -- Economic Benefits -- Planning Benefits -- Economic Development Benefits -- Toward an Agile Energy System -- References -- Further Reading -- Appendix: Agile Energy System Cases: Green Technologies for Distributed On-site Power and Central Grid -- Overview -- Background -- Global Energy Technologies Today. Smart Green Technologies: Integrated "Agile" Energy Infrastructures -- Fuel Cell Technologies-Status and Future-for Vehicles and Buildings -- Hydrogen Fuel Cell Vehicles (HFCEV) -- The Economics for Smart Green Cities and Communities -- Smart Green Communities: The Case of a City: Berlin -- California State Renewable Investment Plan -- The Green (Renewable Sources for) Hydrogen Paradigm -- Fuel Cell for Energy Storage -- Hybrid Energy Technologies -- Consider the Case of Zinc Air and Iodine-Sulfur (IS) Fuel Cells -- Zero Emission Cars: The Cases of H2, Electric and Solar Cars -- Agile Energy Systems-Infrastructures -- Integrated Hybrid for Infrastructure Systems -- Conclusion -- References -- Further Reading -- Index -- Back Cover. Cooke, Grant 9780081017609 print version oai:cds.cern.ch:2288862 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4923790 ebook ebook EBL201710 Engineering SzGeCERN BOOK n 201741 201710 21 PUBLIC BOOK DELETED 2288845 SzGeCERN 20171214170730.0 9783319599069 (electronic bk.) electronic version 9783319599052 electronic version EBL 4917375 eng QC176.83.A383 2018 621.38152000000002 Zhang, Jing Advanced ceramic and metallic coating and thin film materials for energy and environmental applications Cham Springer 2017 292 p Preface -- Acknowledgements -- Contents -- Contributors -- Chapter 1: Overview of Advanced Ceramic and Metallic Coating for Energy and Environmental Applications -- 1.1 Introduction -- 1.2 Thermal Barrier Coating (TBC) -- 1.2.1 Overview of TBC -- 1.2.2 Current Research Status of TBC -- 1.2.2.1 Research Background -- 1.2.2.2 TBC Materials -- 1.2.2.3 Structure of TBC -- 1.2.3 Material Selection for TBC -- 1.2.3.1 Ceramic Material for Top Coat -- 1.2.3.2 Intermetallic Material for Bond Coat -- 1.2.4 Fabrication Method of TBC -- 1.2.4.1 EB-PVD Process -- 1.2.4.2 APS Process -- 1.2.4.3 HVOF Process -- 1.2.4.4 LPPS Process -- 1.2.5 Advanced Thermal Barrier Coatings -- 1.2.5.1 Rare-Earth Oxides -- 1.2.5.2 Lanthanum Hexaaluminate (LHA) -- 1.2.5.3 La2Ce2O7 (LC) -- 1.2.5.4 Graded TBC -- 1.3 Environmental Barrier Coating (EBC) -- 1.3.1 Overview of EBC -- 1.3.2 Development of EBC -- 1.3.3 EBC Materials -- References -- Chapter 2: Processing and Characterization of Coating and Thin Film Materials -- 2.1 Introduction -- 2.2 Coating Surface and Interface Modifications -- 2.2.1 Chemical Treatments -- 2.2.2 Mechanical Treatments -- 2.2.3 Incorporation of Additional Intermediate Layer -- 2.3 Processing of Advanced Metallic and Ceramic Composite Laminate Coatings -- 2.3.1 Advances in Pd-Based Composite Film Preparation -- 2.3.2 Alternative Materials to Metallic Thin Films -- 2.4 Characterization Techniques -- 2.4.1 Optical Microscopy and Profilometry -- 2.4.2 Scanning Electron Microscopy -- 2.4.3 Auger Electron Spectroscopy -- 2.4.4 Atomic Force Microscopy -- 2.4.5 Mercury Porosimetry -- 2.4.6 X-Ray Diffraction -- 2.4.7 X-Ray Photoelectron Spectroscopy -- 2.4.8 Gravimetric Analysis -- 2.4.9 Mechanical Resistance and Adherence -- 2.4.10 Gas Permeation Measurements -- References. Chapter 3: Magnetic Thin Film Materials: Magnetic Particles Synthesized by Thin Film Dewetting for Energy Applications -- 3.1 Introduction -- 3.1.1 Solid State Dewetting -- 3.2 Experimental Approach -- 3.3 Experimental Data and Discussion -- 3.3.1 Experiments on HOPG -- 3.3.2 Experiments on Drop-Cast CNT -- 3.3.3 Variation of Initial Thin Film Thickness -- 3.3.4 Application of External Magnetic Field -- 3.4 Future Works and Conclusion -- References -- Chapter 4: Defects Engineering for Performing SrTiO3-Based Thermoelectric Thin Films: Principles and Selected Approaches -- 4.1 Introduction -- 4.1.1 Background: Thermoelectric Materials and Applications -- 4.1.2 Oxide Thermoelectrics and Strontium Titanate -- 4.1.3 SrTiO3-Based Thermoelectric Thin Films -- 4.2 Methods -- 4.2.1 Processing of the Samples -- 4.2.2 Structural and Microstructural Characterization -- 4.2.3 Evaluation of the Electrical Properties -- 4.2.4 Studies of the Thermal Transport -- 4.3 Results and Discussion -- 4.3.1 Guidelines for Defects Engineering Strategies -- 4.3.2 Structural and Microstructural Features -- 4.3.3 Structural Defects vs. Electrical Performance: The Case Studies -- 4.3.4 Lattice Thermal Conductivity and Overall Performance -- 4.4 Summary and Outlook -- References -- Chapter 5: Microwave-Processed Copper Zinc Tin Sulphide (CZTS) Inks for Coatings in Solar Cells -- 5.1 Introduction -- 5.2 Inks for Coatings -- 5.2.1 CZTS Nanoparticles Ink -- 5.3 Microwave Processing of Inks -- 5.3.1 Basis for Development of CZTS Ink -- 5.3.2 Synthesis of Micropowder -- 5.3.3 Microparticle Ink -- 5.3.4 Nanoparticle Ink -- 5.3.5 Characterizations -- 5.4 Issues in CZTS -- 5.4.1 Detrimental Phases -- 5.4.2 Defects -- 5.5 Properties of Inks -- 5.5.1 Structural, Morphological and Optical Properties of Micropowder -- 5.5.2 Structural and Morphological Properties of Microparticles Ink. 5.5.3 Characterizations of Nanoparticles Ink -- 5.6 Doctor Blade Coating of Films -- 5.6.1 Doctor Blade Coating -- 5.7 CZTS Coating with Microwave-Processed Inks and Properties -- 5.7.1 Films Coated from Micro Ink -- 5.7.2 Films from Nano Ink -- 5.8 Electrical Properties -- 5.8.1 Electrical Properties in Dark (~300 K) -- 5.8.2 Temperature Variation Electrical Conductivity of NPI Coated CZTS Films: 77-500 K -- 5.9 Solar Cells with CZTS Coatings -- 5.9.1 Basic Structure -- 5.9.2 Device Efficiency -- 5.10 Concluding Remarks and Future Prospects -- References -- Chapter 6: Solid Oxide Fuel Cell Materials -- 6.1 Introduction -- 6.2 Electrode -- 6.2.1 K2NiF4-Type Layered Perovskites with a High Oxygen Mobility -- 6.2.2 Double-Layered Perovskite with High Reversible Phase Switching -- 6.2.3 Intelligent Switching Electrode -- 6.2.4 Exsolution in the Perovskite -- 6.2.5 Development of Porous Cathode Coating Using an Aerosol Deposition Process -- 6.2.6 Antioxidant Coating for Metallic Interconnect Using the AD Process -- 6.3 Electrolyte -- 6.3.1 Development of an Electrolyte Coating Using the Aerosol Deposition Process -- 6.3.2 Zr1-xMxO2-delta (M = Y, Sc) Electrolyte Films via EB-PVD Coating -- 6.3.3 Bilayer Electrolyte Fabrication and Performance -- 6.4 Conclusion -- References -- Chapter 7: Metallic Coatings in Solid-Phase Microextraction: Environmental Applications -- 7.1 Introduction -- 7.2 Synthesis and Development of Metallic SPME Coatings -- 7.2.1 Metal Nanoparticles-Based SPME Coatings -- 7.2.2 Metal Oxides Nanoparticles-Based SPME Coatings -- 7.2.3 Hybrid-based SPME Coatings -- 7.3 Characterization of Coatings -- 7.4 Environmental Applications -- 7.5 Concluding Remarks -- References -- Chapter 8: Different Approaches for Thin Film Solar Cell Simulation -- 8.1 Introduction -- 8.2 Routes for Modeling Cu2ZnSn(S,Se)4 Solar Cells -- 8.2.1 Fitting Method. 8.2.2 wxAMPS Software -- 8.2.3 SCAPS Software -- 8.2.4 Sentaurus Software -- 8.2.5 Tunneling Enhanced Recombination and Kesterite/Buffer Interface Recombination as Possible Causes of High Open-Circuit Vo... -- 8.2.5.1 From MQWSC to KestTFSC Software -- 8.2.5.2 KestTFSC Software for Modeling Kesterite Solar Cells -- Different Loss Mechanisms -- Diffusion -- Thermionic Emission -- Radiative Recombination -- Non-radiative Recombination -- Trap-Assisted Tunneling Recombination -- CdS/Kesterite Interface Recombination -- Model Parameters -- Comparing Model Outcomes with Experimental Data -- EQE Data -- Study of Loss Mechanisms Impact on Solar Cell Performance -- The Path Towards a Further Kesterite Solar Cell Efficiency Improvement -- CZTS Solar Cell -- CZTSe Solar Cells -- 8.3 Summary -- References. Jung, Yeon-Gil 9783319599052 print version oai:cds.cern.ch:2288845 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4917375 ebook ebook EBL201710 Engineering SzGeCERN BOOK n 201741 201710 21 PUBLIC BOOK DELETED 2288810 SzGeCERN 20180410204929.0 9783527691289 (electronic bk.) electronic version 9783527332687 electronic version EBL 4875250 eng QD505.C467 2017 541.395 Chorkendorff, I Concepts of modern catalysis and kinetics 3rd ed. Newark, NJ John Wiley & Sons 2017 526 p Cover -- Main title -- Copyright page -- Contents -- Preface -- List of Acronyms -- 1 Introduction to Catalysis -- 1.1 What Is Catalysis? -- 1.2 Catalysts Can Be Atoms, Molecules, Enzymes, and Solid Surfaces -- 1.2.1 Homogeneous Catalysis -- 1.2.2 Biocatalysis -- 1.2.3 Heterogeneous Catalysis -- 1.3 Why Is Catalysis Important? -- 1.3.1 Catalysis and Green Chemistry -- 1.3.2 Atom Efficiency, E Factors, and Environmental Friendliness -- 1.3.3 The Chemical Industry -- 1.4 Catalysis as a Multidisciplinary Science -- 1.4.1 The Many Length Scales of a "Catalyst" -- 1.4.2 Time Scales in Catalysis -- 1.5 The Scope of this Book -- 1.6 Appendix: Catalysis in Journals -- References -- 2 Kinetics -- 2.1 Introduction -- 2.2 The Rate Equation and Power Rate Laws -- 2.3 Reactions and Thermodynamic Equilibrium -- 2.3.1 Example of Chemical Equilibrium: The Ammonia Synthesis -- 2.3.2 Chemical Equilibrium for a Nonideal Gas -- 2.4 The Temperature Dependence of the Rate -- 2.5 Integrated Rate Equations: Time Dependence of Concentrations in Reactions of Different Orders -- 2.6 Coupled Reactions in Flow Reactors: The Steady State Approximation -- 2.7 Coupled Reactions in Batch Reactors -- 2.8 Catalytic Reactions -- 2.8.1 The Mean-Field Approximation -- 2.9 Langmuir Adsorption Isotherms -- 2.9.1 Associative Adsorption -- 2.9.2 Dissociative Adsorption -- 2.9.3 Competitive Adsorption -- 2.10 Reaction Mechanisms -- 2.10.1 Langmuir-Hinshelwood or Eley-Rideal Mechanisms -- 2.10.2 Langmuir-Hinshelwood Kinetics -- 2.10.3 The Complete Solution -- 2.10.4 The Steady State Approximation -- 2.10.5 The Quasi-Equilibrium Approximation -- 2.10.6 Steps with Similar Rates -- 2.10.7 Irreversible Step Approximation -- 2.10.8 The MARI Approximation -- 2.10.9 The Nearly Empty Surface -- 2.10.10 The Reaction Order -- 2.10.11 The Apparent Activation Energy. 2.11 Entropy, Entropy Production, Auto Catalysis, and Oscillating Reactions -- 2.12 Kinetics of Enzyme-Catalyzed Reactions -- References -- 3 Reaction Rate Theory -- 3.1 Introduction -- 3.2 The Boltzmann Distribution and the Partition Function -- 3.3 Partition Functions of Atoms and Molecules -- 3.3.1 The Boltzmann Distribution -- 3.3.2 Maxwell-Boltzmann Distribution of Velocities -- 3.3.3 Total Partition Function of a System -- 3.4 Molecules in Equilibrium -- 3.5 Collision Theory -- 3.5.1 Reaction Probability -- 3.5.2 Fundamental Objection against Collision Theory -- 3.6 Activation of Reacting Molecules by Collisions: The Lindemann Theory -- 3.7 Transition State Theory -- 3.8 Transition State Theory of Surface Reactions -- 3.8.1 Adsorption of Atoms -- 3.8.2 Adsorption of Molecules -- 3.8.3 Reaction between Adsorbates -- 3.8.4 Desorption of Molecules -- 3.9 Summary -- References -- 4 Catalyst Characterization -- 4.1 Introduction -- 4.2 X-ray Diffraction (XRD) -- 4.3 X-ray Photoelectron Spectroscopy (XPS) -- 4.4 X-ray Absorption Spectroscopy (EXAFS and XANES) -- 4.4.1 Extended X-ray Absorption Fine Structure (EXAFS) -- 4.4.2 X-ray Absorption Near-Edge Spectroscopy (XANES) -- 4.5 Electron Microscopy -- 4.6 Mössbauer Spectroscopy -- 4.7 Ion Spectroscopy: SIMS, LEIS, RBS -- 4.8 Temperature-Programmed Reduction, Oxidation, and Sulfidation -- 4.9 Infrared Spectroscopy -- 4.10 Surface Science Techniques -- 4.10.1 Low Electron Energy Diffraction (LEED) -- 4.10.2 Scanning Probe Microscopy -- 4.11 Concluding Remarks -- References -- 5 Solid Catalysts -- 5.1 Requirements of a Successful Catalyst -- 5.2 The Structure of Metals, Oxides, and Sulfides and Their Surfaces -- 5.2.1 Metal Structures -- 5.2.2 Surface Crystallography of Metals -- 5.2.3 Oxides and Sulfides -- 5.2.4 Surface Free Energy -- 5.3 Characteristics of Small Particles and Porous Material. 5.3.1 The Wulff Construction -- 5.3.2 The Pore System -- 5.3.3 The Surface Area -- 5.4 Catalyst Supports -- 5.4.1 Silica -- 5.4.2 Alumina -- 5.4.3 Carbon -- 5.4.4 Shaping of Catalyst Supports -- 5.5 Preparation of Supported Catalysts -- 5.5.1 Coprecipitation -- 5.5.2 Impregnation, Adsorption, and Ion Exchange -- 5.5.3 Deposition Precipitation -- 5.6 Unsupported Catalysts -- 5.7 Zeolites -- 5.7.1 Structure of a Zeolite -- 5.7.2 Compensating Cations and Acidity -- 5.7.3 Applications of Zeolites -- 5.8 Catalyst Testing -- 5.8.1 Ten Commandments for Testing Catalysts -- 5.8.2 Activity Measurements -- References -- 6 Surface Reactivity -- 6.1 Introduction -- 6.2 Physisorption -- 6.2.1 The Van der Waals Interaction -- 6.2.2 Including the Repulsive Part -- 6.3 Chemical Bonding -- 6.3.1 Bonding in Molecules -- 6.3.2 The Solid Surface -- 6.4 Chemisorption -- 6.4.1 The Newns-Anderson Model -- 6.4.2 Summary of the Newns-Anderson Approximation in Qualitative Terms -- 6.4.3 Electrostatic Effects in Atomic Adsorbates on Jellium -- 6.5 Important Trends in Surface Reactivity -- 6.5.1 Trend in Atomic Chemisorption Energies -- 6.5.2 Trends in Molecular Chemisorption -- 6.5.3 Trends in Surface Reactivity -- 6.5.4 Universality in Heterogeneous Catalysis -- 6.5.5 Scaling Relations -- 6.5.6 Appendix: Density Functional Theory (DFT) -- References -- 7 Kinetics of Reactions on Surfaces -- 7.1 Elementary Surface Reactions -- 7.1.1 Adsorption and Sticking -- 7.1.2 Desorption -- 7.1.3 Lateral Interactions in Surface Reactions -- 7.1.4 Dissociation Reactions on Surfaces -- 7.1.5 Intermediates in Surface Reactions -- 7.1.6 Association Reactions -- 7.2 Kinetic Parameters from Fitting Langmuir-Hinshelwood Models -- 7.3 Microkinetic Modeling -- 7.3.1 Reaction Scheme and Rate Expressions -- 7.3.2 Activation Energy and Reaction Orders. 7.3.3 Ammonia Synthesis Catalyst under Working Conditions -- References -- 8 Catalysis in Practice: Synthesis Gas and Hydrogen -- 8.1 Introduction -- 8.2 Synthesis Gas and Hydrogen -- 8.2.1 Steam Reforming: Basic Concepts of the Process -- 8.2.2 Mechanistic Detail of Steam Reforming -- 8.2.3 Challenges in the Steam Reforming Process -- 8.2.4 The SPARG Process: Selective Poisoning by Sulfur -- 8.2.5 Gold-Nickel Alloy Catalyst for Steam Reforming -- 8.2.6 Direct Uses of Methane -- 8.3 Reaction of Synthesis Gas -- 8.3.1 Methanol Synthesis -- 8.3.2 Fischer-Tropsch Process -- 8.4 Water-Gas Shift Reaction -- 8.5 Synthesis of Ammonia -- 8.5.1 History of Ammonia Synthesis -- 8.5.2 Ammonia Synthesis Plant -- 8.5.3 Operating the Reactor -- 8.5.4 Scientific Rationale for Improving Catalysts -- 8.6 Promoters and Inhibitors -- 8.7 The "Hydrogen Society" -- 8.7.1 The Need for Sustainable Energy -- 8.7.2 Sustainable Energy Sources -- 8.7.3 Energy Storage -- 8.7.4 Hydrogen Fuel Cells -- References -- 9 Oil Refining and Petrochemistry -- 9.1 Crude Oil -- 9.2 Hydrotreating -- 9.2.1 Heteroatoms and Undesired Compounds -- 9.2.2 Hydrotreating Catalysts -- 9.2.3 Hydrodesulfurization Reaction Mechanisms -- 9.3 Gasoline Production -- 9.3.1 Fluidized Catalytic Cracking -- 9.3.2 Reforming and Bifunctional Catalysis -- 9.3.3 Alkylation -- 9.4 Petrochemistry: Reactions of Small Olefins -- 9.4.1 Ethylene Epoxidation -- 9.4.2 Partial Oxidation and Ammoxidation of Propylene -- 9.4.3 Polymerization Catalysis -- References -- 10 Environmental Catalysis -- 10.1 Introduction -- 10.2 Air Pollution by Automotive Exhaust -- 10.2.1 The Three-Way Catalyst -- 10.2.2 Catalytic Reactions in the Three-Way Catalyst: Mechanism and Kinetics -- 10.2.3 Concluding Remarks on Automotive Catalysts -- 10.3 Air Pollution by Large Stationary Sources. 10.3.1 Selective Catalytic Reduction: The SCR Process -- 10.3.2 The SCR Process for Mobile Units -- References -- Appendix -- Questions and Exercises -- Index -- EULA. Niemantsverdriet, J W 9783527332687 print version oai:cds.cern.ch:2288810 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4875250 ebook ebook EBL201710 Chemical Physics and Chemistry SzGeCERN BOOK n 201741 201710 21 PUBLIC BOOK DELETED 2288807 SzGeCERN 20171214170727.0 9783319530864 (electronic bk.) electronic version 9783319530840 electronic version EBL 4873429 eng G1-922 526.1 Kolios, Stavros GIS and environmental monitoring applications in the marine, atmospheric and geomagnetic fields Cham Springer 2017 180 p Geotechnologies and the environment 20 Vorobev, Andrei V Vorobeva, Gulnara R Stylios, Chrysostomos 9783319530840 print version oai:cds.cern.ch:2288807 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4873429 ebook ebook EBL201710 Astrophysics and Astronomy SzGeCERN BOOK n 201741 201710 21 PUBLIC BOOK DELETED 2288799 SzGeCERN 20171214170727.0 9783319497303 (electronic bk.) electronic version 9783319497297 electronic version EBL 4822014 eng GE1-350 621.042 Dhakal, Shobhakar Creating low carbon cities Cham Springer 2017 208 p Forewords -- Contents -- Challenges and Opportunities for Transition to Low Carbon Cities -- Big Data, People, and Low-Carbon Cities -- 1 Introduction -- 2 What Data Exist -- 3 What Data Do Not Exist -- 4 What More Is Needed? -- 5 How to Use Data -- 6 Conclusions -- 7 Summary -- References -- Co-benefits and Co-costs of Climate Action Plans for Low-Carbon Cities -- 1 Introduction -- Importance of City-Level Climate Mitigation and Adaption -- Significance of Including Co-benefits and co-costs in City-Level Climate Action -- 2 Economic Argument for Including Co-benefits and Co-costs -- Optimal Abatement Levels Including Direct Benefits and Co-benefits -- 3 Representative Cities and Their Climate Mitigation Plans -- Cities in Developed Nations -- Cities in Developing Nations -- Climate Action Categories -- 4 City Climate Action Plan Analysis -- Differences in Action Categories and Their Frequencies -- Identification or Recognition of Co-benefits and Co-costs -- 5 Insights and Implications from the Network Analysis of City Action Plans -- References -- Optimizing Water-Energy-Carbon Nexus in Cities for Low Carbon Development -- 1 Introduction -- 2 Characterizing Urban Water Systems -- 3 Energy Dependency of Urban Water Systems -- 4 Drivers That Affect Water Related Energy Linkage in Cities -- 5 Towards Net Zero GHG Emission and Self-Sufficiency -- 6 Conclusion -- References -- Grassroots Environmentalism and Low-Carbon Cities -- 1 Introduction -- 2 Transition Town Movement -- Ecovillage Movement -- Community Renewable Energy -- Conclusion -- References -- Emerging Low-Carbon Urban Mega-Projects -- 1 Introduction -- 2 A Geography of Eco-Cities -- 3 Eco-City Mega-Projects -- Masdar Eco-City -- Sino-Singapore Tianjin Eco-City -- 4 Conclusion -- References -- References: Websites -- Energy Consumption and Emissions Assessment in Cities: An Overview. 1 Introduction -- Energy Consumption, GHG Emissions and Urbanization -- Measuring the Carbon and Environmental Footprint of Cities -- Cities as Solution or as a Problem -- 2 Conclusions -- 3 Summary -- References -- Information Sources -- Low Carbon Urban Design: Potentials and Opportunities -- 1 Low Carbon Cities and Urban Sustainability -- 2 Low Carbon Urban Design Potentials -- Existing Indicators for Urban Sustainability and Low Carbon Performance -- Potential Directions: Emergent and Future Technologies -- 3 Low Carbon Urban Design Opportunities -- Low Carbon City Initiatives in China -- Application of Low Carbon Urban Design in Hong Kong: The Kai Tak Development -- 4 Future Research -- References -- Toward Low Carbon Cities: The Chinese Experience -- 1 Introduction -- 2 China´s Urbanization Challenge -- 3 Qingdao -- 4 Tianjin -- 5 China´s Greening City Strategy -- 6 Chapter Summary -- References -- Low-Carbon Urban Infrastructure -- 1 Urban Form: Foundation of Low-Carbon Infrastructure -- 2 Energy Infrastructure: Demand and Supply -- End-Use Efficiency -- Supply-Side Efficiency and De-carbonization -- 3 Water Infrastructure: Low-Carbon and Resilient -- Save First -- Wastewater Treatment and Biogas Cogeneration -- 4 Transportation Infrastructure: Rethinking Mobility -- Prioritize Investments in Low-Carbon Transport Modes -- Transit-Oriented Development (TOD) -- Integrated Transport Infrastructure -- Multimodal Streets -- Cleaner Vehicle Technology -- 5 Conclusion -- References -- Low-Carbon Waste Management -- 1 Introduction -- 2 Waste and Greenhouse Gas Emissions -- 3 Low-Carbon Landfill Design -- 4 Organic Waste Diversion -- 5 Thermal Treatment of Waste -- 6 Source Reduction, Reuse, Recycling, and Recovery -- 7 Systemic Changes Towards GHG Mitigation from Waste -- 8 Mitigation at the Urban Scale -- References -- Internet References. Managing Greenhouse Gas Emissions in Cities: The Role of Inventories and Mitigation Action Planning -- 1 Introduction -- 2 Ancillary Effects of Climate Policies at the Local Level -- Accounting and Mitigating GHG Emissions -- Box 1 -- 3 International Practice: GHG Inventories in Cities -- Main Methodologies -- How to Draw Boundaries for Analysis? -- What to Measure? -- How to Measure? -- Practical Experiences -- Inventory Accounting -- Mitigation Accounting -- 4 Rio de Janeiro´s Experience -- Inventory -- Box 2 -- 5 Conclusions -- References -- Social Factors Affecting Low-Carbon Cities -- 1 Introduction -- 2 Rapidly Emerging Cities (Early Infrastructural Transition) -- 3 Mature Cities (Lifestyle Changes) -- 4 Already Built-Up Cities (Reconciling Growth and Emissions in Developing Countries) -- 5 Conclusion -- References -- References (Web) -- Key Drivers and Trends of Urban Greenhouse Gas Emissions -- 1 Drivers of GHG Emissions from the Energy System -- 2 Profiles and Trends in GHG Emissions from Urban Energy Use -- 3 Transition in Technology, Infrastructure, and Fuel Mix in Cities and GHG Implications -- 4 Trans-Boundary Energy Linkages and Their Implications for Urban GHG Accounting -- 5 Stakeholders, Markets, and Governance -- Appendix -- References -- Potential Transformation Pathways Towards Low-Carbon Cities -- 1 Introduction -- 2 The Challenge of Climate Change and the Opportunity of Cities -- 3 Scenarios for Long-Term Transformation -- 4 Low-Carbon Future Bristol -- 5 Methodology -- 6 Outcomes -- Scenario X: `Low-Carbon Business-As-Usual´ -- Scenario Y: `Re-localised Sustainable Transformation´ -- 7 Discussion -- 8 Chapter Summary -- References -- Eco-Districts as a Transition Pathway to Low-Carbon Cities -- 1 Introduction -- 2 Urban Climate Change Planning: A Focus on Eco-Districts. Organisational Learning in Urban Climate Change Planning and Policy -- 3 Malmö´s Approach to Climate Change and Sustainable Development -- The Eco-District: From Industrial Wasteland to Vision of Sustainability -- Applying Lessons and Raising the Bar -- 4 Analyzing Malmö´s Success -- 5 Conclusion -- References -- Index. Ruth, Matthias 9783319497297 print version oai:cds.cern.ch:2288799 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4822014 ebook ebook EBL201710 Engineering SzGeCERN BOOK n 201741 201710 21 PUBLIC BOOK DELETED 2288796 SzGeCERN 20171214170726.0 9783319506739 (electronic bk.) electronic version 9783319506715 electronic version EBL 4799345 eng QA75.5-76.95 363.25 Champod, Christophe Handbook of biometrics for forensic science Cham Springer 2017 361 p Advances in computer vision and pattern recognition Preface -- Contents -- 1 Biometric Technologies for Forensic Science and Policing: State of the Art -- Abstract -- 1.1 A Short Historical Introduction and Forensic Context -- 1.2 Recent Developments of Biometric Technologies in Forensic Science -- 1.3 Challenges -- 1.4 Conclusions -- Acknowledgements -- References -- Analysis of Fingerprints and Fingermarks -- 2 Capture and Analysis of Latent Marks -- Abstract -- 2.1 Introduction -- 2.2 Fingerprint Characteristics -- 2.3 Conventional Latent Mark Acquisition Techniques -- 2.4 Contact-Less Latent Mark Acquisition Techniques -- 2.5 Latent Mark Analysis Process -- 2.6 Legal Challenges of Applying New Techniques in the Latent Mark Processing -- 2.7 Summary -- References -- 3 Automated Fingerprint Identification Systems: From Fingerprints to Fingermarks -- Abstract -- 3.1 Introduction -- 3.1.1 History -- 3.1.2 AFIS Functionalities -- 3.1.3 Fingerprint Identification Accuracy -- 3.2 Automated Fingerprint/Mark Technology -- 3.2.1 Fingerprints -- 3.2.2 Fingermarks -- 3.3 Segmentation -- 3.4 Enhancement -- 3.5 Forensic Applications -- 3.5.1 Applications Using fingerprints -- 3.5.1.1 Identity Management Within Criminal Justice Systems -- 3.5.1.2 Forensic Identification of Missing Persons -- 3.5.2 Application Using Fingermarks -- 3.5.2.1 Forensic Intelligence -- 3.5.2.2 Forensic Investigation -- 3.5.2.3 Forensic Evaluation -- 3.5.3 Current Challenges -- 3.5.3.1 Automation and Transparency -- 3.5.3.2 Scalability and Interoperability -- 3.5.3.3 Forensic Fingermark Processes -- 3.6 Conclusion -- References -- 4 Challenges for Fingerprint Recognition-Spoofing, Skin Diseases, and Environmental Effects -- Abstract -- 4.1 Spoofing and Anti-spoofing -- 4.1.1 Perspiration -- 4.1.2 Spectroscopic Characteristics -- 4.1.3 Ultrasonic Technology -- 4.1.4 Physical Characteristics: Temperature. 4.1.5 Physical Characteristics: Hot and Cold Stimulus -- 4.1.6 Physical Characteristics: Pressure Stimulus -- 4.1.7 Physical Characteristics: Electrical Properties -- 4.1.8 Physical Characteristics: Pulse -- 4.1.9 Physiological Basics of Heart Activity -- 4.1.10 Physical Characteristics: Blood Oxygenation -- 4.1.11 Fingerprint Spoof Preparation -- 4.2 Skin Diseases -- 4.3 Environmental Distortions -- 4.3.1 Phenomena Influencing Fingerprint Acquisition -- 4.3.2 Methods for Generation of Synthetic Fingerprints -- 4.4 Conclusion -- Acknowledgments -- References -- 5 Altered Fingerprint Detection -- 5.1 Introduction -- 5.2 Background of Fingerprint Alterations -- 5.2.1 Obliteration -- 5.2.2 Distortion -- 5.2.3 Imitation -- 5.3 Related Work -- 5.3.1 Orientation Field Analysis -- 5.3.2 Minutiae Distribution Analysis -- 5.4 Recent Algorithms for Fingerprint Alteration Detection -- 5.4.1 Preprocessing -- 5.4.2 Singular Point Density Analysis -- 5.4.3 Minutia Orientation Analysis -- 5.4.4 Orientation Difference Map -- 5.4.5 Orientation Density Map -- 5.5 Evaluation and Results -- 5.6 Conclusion -- References -- Face and Video Analysis -- 6 Face Sketch Recognition via Data-Driven Synthesis -- 6.1 Introduction -- 6.2 Related Work -- 6.3 Sparse Representation Supported Candidate Selection Methods -- 6.3.1 Sparse Feature Selection Based Face Sketch Synthesis -- 6.3.2 Sparse Representation Based Greedy Search for Face Sketch Synthesis -- 6.4 Graphical Representation Based Reconstruction Models -- 6.4.1 Transductive Face Sketch Synthesis -- 6.4.2 Multiple Representation Based Face Sketch Synthesis -- 6.5 Experimental Results -- 6.6 Conclusion -- References -- 7 Recent Developments in Video-Based Face Recognition -- 7.1 Introduction -- 7.2 Sparse Coding-Based Methods -- 7.3 Manifold-Based Methods -- 7.4 Probabilistic Methods -- 7.5 Geometrical Model-Based Methods. 7.6 Dynamical Model-Based Methods -- 7.7 Conclusion and Future Directions -- References -- 8 Face Recognition Technologies for Evidential Evaluation of Video Traces -- 8.1 Introduction -- 8.2 Automatic Face Recognition -- 8.2.1 Face Detection -- 8.2.2 Feature Extraction -- 8.2.3 Matching -- 8.3 Face Recognition from Videos Traces -- 8.4 Handling Uncontrollable Factors Present in Videos -- 8.4.1 Approaches for Handling Pose Variations -- 8.4.2 Approaches for Handling Occlusion Variations -- 8.4.3 Approaches for Handling Illumination Variations -- 8.4.4 Approaches for Handling Low Image Quality Variations -- 8.5 Future Trends -- 8.5.1 Combining with Other Biometric Traits -- 8.5.2 Contending with the Face Ageing Issue -- 8.5.3 Different Imaging Modalities -- 8.5.4 Other Issues in Forensic Tasks -- 8.6 Summary -- References -- 9 Human Factors in Forensic Face Identification -- Abstract -- 9.1 Introduction -- 9.1.1 The Problem -- 9.2 Characteristics of Human Face Recognition Relevant for Forensics -- 9.2.1 Familiarity -- 9.2.2 Image and Demographic Factors -- 9.2.2.1 Stimulus Factors -- 9.2.2.2 Subject Factors -- 9.2.2.3 Interactive Factors -- 9.3 Are Facial Image Comparison "Experts" More Accurate at Facial Image Comparison Than Untrained People? -- 9.4 Can Computer-Based Face Identification Systems Address Weaknesses of the Forensic Examiner and the Forensic Examination Process? -- 9.4.1 Unfamiliar Face Recognition Tasks for Machines -- 9.4.2 Measuring Human Performance for Comparison with Machines -- 9.4.3 Measuring Human Performance for Comparison with Machines -- 9.5 Discussion and Future Directions -- References -- Human Motion, Speech and Behavioral Analysis -- 10 Biometric Evidence in Forensic Automatic Speaker Recognition -- Abstract -- 10.1 Introduction -- 10.2 Biometric Evidence in FASR -- 10.3 Calculation of Likelihood Ratio (LR). 10.3.1 Scoring Method -- 10.3.2 Direct Method -- 10.4 Performance Evaluation -- 10.4.1 Performance Characteristics and Metrics -- 10.4.1.1 Performance Characteristics-Tippett Plots -- 10.4.1.2 Performance Metrics -- Performance Metric 1-Probabilities of Misleading Evidence (PMEH0 and PMEH1) -- Performance Metric 2-Equal Proportion Probability (EPP) -- Performance Metric 3-Log-Likelihood-Ratio Cost (Cllr) -- 10.4.2 Evaluation of Case-Specific Strength of Evidence -- 10.5 Conclusion -- References -- 11 On Using Soft Biometrics in Forensic Investigation -- Abstract -- 11.1 Introduction -- 11.2 Forensic Case Work as It Is Performed Today -- 11.2.1 Forensic Image Analysis at Present -- 11.2.2 Presentation of Findings in Court -- 11.2.3 Directions of Further Research -- 11.3 A Software Platform to Support Forensic Investigations: BioFoV -- 11.3.1 User Interface -- 11.3.2 Modules -- 11.3.2.1 Camera Calibration -- 11.3.2.2 Event Detection -- 11.3.2.3 Re-Projected Image Plane Measurements -- 11.3.2.4 Feature Extraction-Face Detection Example -- 11.3.3 How to Get BioFoV -- 11.4 Applications of 3D Markerless Motion Capture in Forensic Gait Analysis -- 11.4.1 Accurate 3D Imaging of Human Gait and Bodily Dimensions -- 11.4.2 Using Gait Kinematics and Random Forests for Recognition -- 11.4.3 3D Surveillance and Future Perspectives in Gait Recognition -- 11.5 Extraction of Soft Biometrics from Facial Images -- 11.5.1 Extracting Gender from Face Images -- 11.5.2 Age Classification from Facial Images -- 11.5.3 Ethnicity Classification from Facial Images -- 11.5.4 Experimental Analysis on Extracting Facial Soft Biometrics from Videos -- 11.5.4.1 Static Image-Based Approach -- 11.5.4.2 Spatiotemporal-Based Approach -- 11.5.4.3 Experiments on Gender Recognition -- 11.5.4.4 Experiments on Age Estimation. 11.5.4.5 Experiments on Ethnicity Classification (Asian Versus Non-Asian) -- 11.5.4.6 Discussion -- 11.6 Conclusions -- References -- 12 Locating People in Surveillance Video Using Soft Biometric Traits -- 12.1 Introduction -- 12.2 Prior Work -- 12.3 Modelling Traits -- 12.4 Locating People Using a Region-Based Approach -- 12.4.1 Search Query Formulation -- 12.4.2 Searching for a Target -- 12.4.3 Assessing Clothing Type -- 12.5 Searching Using a Channel Representation -- 12.5.1 Generating an Avatar -- 12.5.2 Searching for a Target -- 12.5.3 Compensating for Scale -- 12.6 Database and Evaluation Protocol -- 12.6.1 Data -- 12.6.2 Evaluation Protocol -- 12.7 Results -- 12.7.1 Computational Efficiency and Scalability -- 12.8 Conclusions and Future Work -- References -- 13 Contact-Free Heartbeat Signal for Human Identification and Forensics -- Abstract -- 13.1 Introduction -- 13.2 Measurement of Heartbeat Signal -- 13.2.1 Contact-Based Measurement of Heartbeat Signal -- 13.2.2 Contact-Free Measurement of Heartbeat Signal -- 13.2.2.1 Motion for Contact-Free Extraction of Heartbeat Signal -- 13.2.2.2 Color for Contact-Free Extraction of Heartbeat Signal -- 13.3 Using Heartbeat Signal for Identification Purposes -- 13.3.1 Human Identification Using Contact-Based Heartbeat Signal -- 13.3.2 Human Identification Using Contact-Free Heartbeat Signal -- 13.4 Discussions and Conclusions -- References -- Statistical Analysis of Forensic Biometric Data -- 14 From Biometric Scores to Forensic Likelihood Ratios -- 14.1 Likelihood Ratio Framework for Evidence Evaluation -- 14.1.1 Challenges in LR-Based Evidence Evaluation -- 14.2 Case Assessment and Interpretation Methodology -- 14.3 Evidence Evaluation with Likelihood Ratios -- 14.4 Interpreting Biometric System Scores with Likelihood Ratios -- 14.5 LR Computation Methods from Biometric Scores. 14.5.1 Generating Training Scores. 9783319506715 print version oai:cds.cern.ch:2288796 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4799345 ebook ebook EBL201710 Commerce, Economics, Social Science SzGeCERN BOOK n 201741 201710 21 PUBLIC BOOK DELETED 2288794 SzGeCERN 20171214170726.0 9783319428901 (electronic bk.) electronic version 9783319428895 electronic version EBL 4774810 eng R1 610.28 Kollak, Ingrid Safe at home with assistive technology Cham Springer 2017 230 p Springerbriefs in applied sciences and technology Acknowledgements -- Contents -- 1 Prerequisites: Assistive Technologies Between User Centered Assistance and 'Technicalization' -- References -- 2 Living Safely and Actively in and Around the Home: Four Applied Examples from Avatars and Ambient Cubes to Active Walkers -- Abstract -- 2.1 Introduction -- 2.2 DALIA-Assistant for Daily Life Activities at Home -- 2.2.1 Overview and Aims -- 2.2.2 Implementation -- 2.2.3 Evaluation and Feedback -- 2.2.4 Conclusion and Lessons Learnt -- 2.3 RelaxedCare-Unobtrusive Connection in Care Situations -- 2.3.1 Overview and Aims -- 2.3.2 Implementation -- 2.3.3 Evaluation and Feedback -- 2.3.4 Conclusion and Lessons Learned -- 2.4 Confidence-Mobility Safeguarding Assistance Service with Community Functionality for People with Dementia -- 2.4.1 Overview and Aims -- 2.4.2 Evaluation and Feedback -- 2.4.3 Conclusion and Lessons Learned -- 2.5 iWalkActive-The Active Walker for Active People -- 2.5.1 Overview and Aims -- 2.5.1.1 Why iWalkActive? -- 2.5.1.2 Problems Identified by the End Users -- 2.5.2 Implementation -- 2.5.2.1 E-drive -- 2.5.2.2 Localisation -- 2.5.2.3 Seamless Transition -- 2.5.2.4 Open Data Integration -- 2.5.2.5 Navigation -- 2.5.3 Evaluation and Feedback -- 2.5.3.1 Lab Tests -- 2.5.3.2 User Field Trials -- 2.5.4 Conclusion and Lessons Learned -- Acknowledgments -- References -- 3 Using Gaze Control for Communication and Environment Control: How to Find a Good Position and Start Working -- Abstract -- 3.1 Who Can Use Gaze Control? -- 3.2 Why Is Communication Important? -- 3.3 How Gaze Control Works -- 3.4 Gaze Control as an Access Method -- 3.5 What Are the Prerequisites for Using Gaze Control? -- 3.6 How to Achieve Good Positioning -- 3.7 What to Watch Out for in Tests -- 3.8 How Does Environment Control Work? -- 3.9 Training Materials for Gaze Control -- 3.10 Summary -- Acknowledgments. References -- 4 Caring TV-for Older People with Multimorbidity Living Alone: Positive Feedback from Users in Berlin and Rural Mecklenburg-West Pomerania -- 4.1 Background -- 4.2 Selected Research Results on the Use of Technology -- 4.3 Our Study -- 4.3.1 Group Discussions on Specific Topics for Caring TV -- 4.3.2 Acceptance of Tablet PCs -- 4.3.3 Study Aim and Questions that Arose -- 4.3.4 Methods -- 4.3.4.1 Sample Recruitment -- 4.3.5 Data Collection -- 4.3.6 Data Analysis -- 4.3.7 Ethics -- 4.3.8 The Caring TV Intervention -- 4.3.9 Selected Findings of Our Interviews -- 4.3.9.1 Previous Experience with the Technology -- 4.3.10 Scheduling of the Shows -- 4.3.11 Usefulness in Everyday Life -- 4.3.12 Problems -- 4.3.13 The Future -- 4.4 Conclusion -- Acknowledgments -- References -- 5 Arm Rehabilitation at Home for People with Stroke: Staying Safe: Encouraging Results from the Co-designed LifeCIT Programme -- 5.1 Rationale -- 5.2 Rehabilitation Mechanisms Promoting Recovery -- 5.3 Technology at Home-Design and Implementation -- 5.4 Perceptions of Existing and Future Arm Rehabilitation Devices -- 5.5 LifeCIT: An Example of an Upper Limb Rehabilitation Technology-Research Evidence for CIMT and Clinical Use -- 5.5.1 Addressing Translation Factors: Development of Glove-Safety, Comfort and Evidence -- 5.5.1.1 LifeGuide-Motivational Software -- 5.5.2 Co-design of LifeCIT with Patients, Carers and Therapists in a Clinical/Home Environment -- 5.5.3 Research Trial: LifeCIT in the Home -- 5.5.3.1 Encouraging Adherence -- 5.5.3.2 Method for the Phase II Exploratory Trial -- 5.5.3.3 Participants -- 5.5.3.4 Inclusion Criteria -- 5.5.3.5 Exclusion Criteria -- 5.5.3.6 Outcome Measures -- 5.5.3.7 Assessments -- 5.5.3.8 Intervention -- 5.5.3.9 Data and Statistical Analysis -- 5.6 Results -- 5.6.1 Future for LifeCIT -- 5.7 Discussion -- References. 6 Telemonitoring in Home Care: Creating the Potential for a Safer Life at Home -- Abstract -- 6.1 Introduction -- 6.2 Telemonitoring in Health Care -- 6.3 Projects and Sample Applications -- 6.3.1 Telemonitoring for Fall Prevention -- 6.3.2 Telemonitoring for Hypertension, Heart Failure and Cardiac Arrhythmia -- 6.3.3 Diabetes Mellitus -- 6.4 Outlook -- References -- Online Sources -- 7 Empowering the Elderly and Promoting Active Ageing Through the Internet: The Benefit of e-inclusion Programmes -- 7.1 Introduction -- 7.2 The Internet as a Tool to Empower the Elderly -- 7.2.1 The Internet as an Information Source for Older People -- 7.2.2 How Older People Interact Online -- 7.2.3 Older People's Relationship with Online Administrative and e-commerce Solutions -- 7.2.4 Leisure and Entertainment on the Internet for Older People -- 7.3 Health as the Main Concern for Older People When Surfing the Internet -- 7.4 Conclusions -- Acknowledgments -- References -- 8 Use and Development of New Technologies in Public Welfare Services: A User-Centred Approach Using Step by Step Communication for Problem Solving -- Abstract -- 8.1 Contextual Factors in the Assistive Technology Area -- 8.1.1 Health, Illness, Disability -- 8.1.2 State of Development of Assistive Technologies -- 8.2 Key Concepts for Problem Solving -- 8.2.1 Problems-Problem Analysis -- 8.2.2 Problems-Problem Evaluation -- 8.2.3 Goals -- 8.2.4 Resources -- 8.2.5 Needs -- 8.2.6 Resource Balance Sheet -- 8.3 Success Factors for Developing and Implementing Technology -- 8.3.1 Ethical Reflections -- 8.3.2 Sustainability -- 8.3.3 Security and Risk -- 8.3.4 Transparency and Information Flow -- 8.4 Conclusion -- References -- 9 Parents' Experiences of Caring for a Ventilator-Dependent Child: A Review of the Literature -- Abstract -- 9.1 Background -- 9.2 The Purpose of the Review -- 9.3 Materials and Methods. 9.4 Description and Evaluation of the Quality of the Material -- 9.5 Data Analysis -- 9.6 Results -- 9.6.1 Struggling with Life Management Challenges -- 9.6.2 Maintaining Balance Within the Family -- 9.6.3 Turning to the Everyday Resources -- 9.7 Discussion -- 9.8 Conclusions -- 9.9 Recommendations for Nursing Practice -- References -- 10 Evaluation and Outcomes of Assistive Technologies in an Outpatient Setting: A Technical-Nursing Science Approach -- Abstract -- 10.1 Introduction -- 10.2 Classification of Assistive Technologies -- 10.3 Evaluating Assistive Technologies -- 10.3.1 Definition of the Term 'Evaluation' -- 10.3.2 Development and Evaluation of AT from a Technical Perspective -- 10.3.3 Evaluation from a Health Care Science Perspective -- 10.3.4 Synthesis of a Holistic Evaluation Approach -- 10.4 Assessment Instruments to Capture Domestic Dimensions -- 10.4.1 Environmental Factors -- 10.4.2 Informal and Formal Carers -- 10.5 Conclusion -- References -- 11 Assistive Technology for People with Dementia: Ethical Considerations -- Abstract -- 11.1 Introduction -- 11.2 The Types and Characteristics of AT for Safety -- 11.3 Ethical Considerations -- 11.3.1 Scenario -- 11.3.2 Dilemma -- 11.4 Recommendations and Conclusions -- References -- CVs of Authors -- Literature. 9783319428895 print version oai:cds.cern.ch:2288794 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4774810 ebook ebook EBL201710 Health Physics and Radiation Effects SzGeCERN BOOK n 201741 201710 21 PUBLIC BOOK DELETED 2288758 SzGeCERN 20180612223805.0 9781606925294 (electronic bk.) electronic version 9781600211942 electronic version EBL 3022199 eng TA1750 -- .L35 2007eb 621.366 Larkin, Steven B Lasers and electro-optics research at the cutting edge Hauppauge Nova Science 2014 294 p LASERS AND ELECTRO-OPTICS RESEARCH AT THE CUTTING EDGE -- LASERS AND ELECTRO-OPTICS RESEARCH AT THE CUTTING EDGE -- CONTENTS -- PREFACE -- Chapter1RESONANTENHANCEMENTANDNEAR-FIELDLOCALIZATIONOFFSPULSESBYSUBWAVELENGTHNM-SIZEMETALSLITS -- Abstract -- 1.Introduction -- 2.NaturalSpatialandTemporalBroadeningofLightBeams -- 3.Model -- 4.Non-resonantLocalizationofContinuousWavesandFemtosecondPulses -- 4.1.Non-resonantNear-FieldLocalizationofContinuousWaves -- 4.2.Non-resonantNear-FieldLocalizationofFSPulses -- 4.3.LimitationsoftheModel -- 5.ResonantEnhancementandLocalizationofContinuousWavesandFSPulses -- 5.1.ResonantEnhancementandNear-FieldLocalizationofContinuousWaves -- 5.2.ResonantEnhancementandNear-FieldLocalizationofFSPulses -- 6.Conclusion -- Acknowledgments -- References -- Chapter 2SINGLE EXPERIMENTAL SETUP FOR HIGH SENSITIVEABSORPTION COEFFICIENT AND OPTICALNONLINEARITIES MEASUREMENTS -- Abstract -- I. Introduction -- II. Background -- a. The Gaussian Beam in a Homogeneous Medium -- b. The Z-scan Technique -- c. The Dual-beam Technique -- III. Present Work -- a. Experiment -- b. Results and Discussion -- Acknowledgements -- References -- Chapter 4 ENVIRONMENTAL MONITORING BY LASER RADAR -- Abstract -- 1. Introduction -- 2. Lidar Principle -- 2.1. Hard Target (Lithospheric Applications) -- 2.2. Dense Target (Hydrospheric Applications) -- 2.3. Transparent Target (Atmospheric Applications) -- 3. Lithospheric Applications -- 3.1. Laser Range-Finder for the Three-Dimensional Scan of UndergroundCavities -- 4. Hydrospheric Applications -- 4.1. Lidar Fluorosensor -- 4.2. Lidar Calibration of Satellite Imagery -- 4.2.1. Chlorophyll-a -- 4.2.2. Primary Productivity -- 4.2.3Chromophoric Dissolved Organic Matter -- 5. Atmospheric Applications -- 5.1. Elastic Lidar -- 5.2. Correlation Lidar -- 5.3. Differential Absorption Lidar -- 6. Conclusion. Acknowledgements -- References -- Chapter 5 THERMAL EFFECTS AND POWER SCALING OF DIODE-PUMPED SOLID-STATE LASERS -- Abstract -- 1. Introduction -- 2. Modelling of Thermal Lens -- 3. Interferometric Measurments -- 4. Power Scaling -- 4.1. Fracture Limit -- 4.2. Optimal Design -- 5. Results -- Conclusion -- References -- Chapter 6 CATASTROPHE OPTICS IN THE STUDY OF SPREADING OF SESSILE DROPS -- Abstract -- Introduction -- Optical Catastrophe of Drop-Refracted Laser Beam -- Condition of Caustic Formation -- Interpretation of Images of Drop-Refracted Laser Beam -- Caustic Diffractions -- Higher Hierarchy of Optical Catastrophe -- Determine Sessile Drop Profiles by Catastrophe Optics -- Measurements of Drop Characteristic Parameters -- Contact Angles -- Foot Height -- Example of Applications -- Conclusion -- References -- Chapter 7 RECENT ADVANCES IN TEA CO2 LASER TECHNOLOGY -- Abstract -- 1. Introduction -- 1.1. Repetitive Operation -- 1.1.1. Role of Helium -- 1.1.1.1. Low Pressure CO2 Laser -- 1.1.1.2. Rapid Discharge Technique [9-13] -- 1.1.1.3. Seeding the Laser Gas Mixture with Low Ionisation Potential (LIP) Additives -- 1.1.1.4. Preconditioning the Inter-electrode Volume by Electrons from an External Source -- 1.1.1.5. Modified Excitation Circuit -- 1.1.1.5.1. Experimental System -- 1.1.1.5.2. Performance of the Laser -- 1.1.2. The Repetitive Pulser -- 1.1.2.1. Direct - Current (D-C) Resonant Charging -- 1.1.2.2. Command Resonant Charging -- 1.1.2.3. An Ideal Repetitive TE Laser Pulser -- 1.1.2.3.1. Rotating Dielectric Spark Gap -- 1.1.3. Repetitive Operation of a Helium Free Mini TEA CO2 Laser -- 1.1.3.1. Laser Head and Excitation Circuit -- 1.1.3.2. Experimental Results -- 1.1.4. Repetitive Operation: Switch-Less Pulser -- 1.1.4.1. Laser Head and the Excitation Circuit -- 1.1.4.2. Results and Discussion -- 1.2. Single Mode Operation. 1.2.1. Single Mode hybrid CO2 Laser with Increased Efficiency -- 1.2.2. Single Mode Lasing From a TEA CO2 Laser by the Elimination of Spatial Hole Burning Effect -- 1.3. Conclusions -- References -- Chapter 8NOVEL BISMUTH-ACTIVATED GLASSESWITH INFRARED LUMINESCENCE -- Abstract -- 1. Introduction -- 2. Experimental Section -- 3. Results and Discussions -- 3.1. Current Research Status of Bi-doped Glasses with near InfraredLuminescence -- 3.1.1. Bi-doped SiO2-Al2O3 Glasses -- 3.1.2. Bi-doped GeO2-Al2O3 Glasses -- 3.1.3. Bi-doped P2O5-Al2O3 and B2O3-Al2O3 Glasses -- 3.1.4. Bi-doped MO2-N2Ox (M=Ge, Si -- N=Ga, B, Ta) Glasses -- 3.1.5. Whether Does the near Infrared Luminescence come from Cr4+or from Bismuth in Aluminosilicate Glass Codoped with Cr2O3 and Bi2O3? -- 3.2. Studies on Infrared Luminescence Mechanism -- 3.3. Future Development of Bismuth-Doped Optical Materials -- 3.3.1. Figure-of-Merits of Bandwidth and Gain of Bi-doped Glasses -- 3.3.2. Excited State Absorption of Bi-doped Glasses -- 3.3.3. Bi-doped Glasses: The Promising Candidates as Gain Mediumsof Amplifiers Working at Around 1400nm -- 3.3.4. Problems Impeding the Development of Bi-doped Glasses -- 4. Conclusion -- References -- INDEX -- Blank Page. 9781600211942 print version oai:cds.cern.ch:2288758 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3022199 ebook ebook EBL Electrooptics EBL201710 Engineering SzGeCERN BOOK n 201741 201710 21 PUBLIC BOOK DELETED 2288750 SzGeCERN 20200610213326.0 9781118597255 print version 9781118597392 electronic version electronic version oai:cds.cern.ch:2288750 cerncds:BOOK EBL 2051521 eng RA783.5 .Z384 2015 613.6/8 Zuckerman, Jane N Essential travel medicine Hoboken, NJ John Wiley & Sons 2015 358 p ebook Cover -- Title Page -- Copyright -- Contents -- List of contributors -- Preface -- Acknowledgments -- Section I Travel medicine -- Chapter 1 Basic epidemiology of infectious diseases -- References -- Chapter 2 Basic epidemiology of non-infectious diseases -- Introduction -- Why do people travel? -- Travel pattern? -- Illness due to travel -- Motion sickness -- Jet lag -- Venous thromboembolism -- Altitude illness -- Death while traveling -- Morbidity while traveling -- Risks -- Exposure -- Risk taking -- High-risk travelers -- Providing advice to travelers -- Road travel -- Drowning -- Scuba diving -- Children -- Older travelers -- Dental -- Sand hazards -- Volcanoes and glaciers -- Conclusion -- References -- Chapter 3 Pre-travel health risk assessment -- Introduction -- Defining travel-related risk and the risk assessment -- Pre-travel health consultation -- Establishing the risks -- Risks of the destination and duration of travel -- Risks of mode of travel -- Risks established from the medical history -- Risks of the intervention -- Risk perception -- Post-travel consultation -- Conclusion -- References -- Chapter 4 Setting up a travel clinic -- Introduction -- Aims of the clinic -- The basics: "four walls and a space" -- Equipment: "what's essential and what's not" -- Setting up a travel clinic checklist -- Information resources -- Conclusion -- References -- Chapter 5 Travel medicine resources -- Introduction -- Professional organizations -- Professional journals -- Travel medicine textbooks -- Travel medicine training -- Travel medicine practice guidelines -- International organizations -- Governmental organizations -- United States -- Canada -- United Kingdom -- Australia -- Travel safety and security issues -- United States -- Canada -- Australia -- United Kingdom. Surveillance, disease outbreaks, and epidemiologic bulletins -- Vaccine resources -- Overseas medical assistance -- Disease information -- Electronic discussion forums/listservs -- RSS feeds -- Applications for smart phones and devices -- Section II Travel-related infectious diseases -- Chapter 6 Travelers' diarrhea -- The syndrome: clinical definitions, epidemiology, and microbiology -- Chemoprophylaxis of travelers' diarrhea -- Symptomatic treatment of travelers' diarrhea -- Antibiotic treatment of travelers' diarrhea -- References -- Chapter 7 Vector-borne diseases -- Epidemiology -- Dengue -- Chikungunya -- Japanese encephalitis -- Clinical manifestations -- Dengue -- Chikungunya -- Japanese encephalitis -- Diagnosis -- Dengue -- Chikungunya -- Japanese encephalitis -- Clinical management -- Dengue -- Chikungunya and Japanese encephalitis -- Risk for international travelers -- Dengue -- Chikungunya -- Japanese encephalitis -- Prevention and control -- Prevention of dengue and chikungunya -- Prevention of Japanese encephalitis -- Vaccines against Japanese encephalitis -- References -- Chapter 8 Yellow fever -- Epidemiology -- Clinical manifestation, diagnosis, and treatment -- Yellow fever among travelers -- Prevention -- Personal protection measures -- Vaccines -- International certificate of vaccination or prophylaxis (ICVP) -- Medical waivers (exemptions) -- Requirements versus recommendations -- YF risk classification for travelers -- References -- Chapter 9 Malaria -- The disease and its lifecycle -- Epidemiology -- The parasite and its life cycle -- Clinical presentation of malaria in travelers -- Malaria diagnosis -- Methods of prevention including prophylaxis and emergency stand-by treatment -- Exposure prophylaxis -- Chemoprophylaxis -- Stand-by emergency treatment (SBET) -- References. Chapter 10 Respiratory disease -- Causative agents -- Respiratory pathogens associated with outbreaks -- Influenza -- SARS -- MERS -- Legionella species -- Others -- Risk in travelers -- Clinical manifestations -- Diagnosis -- Treatment -- Prevention -- References -- Chapter 11 Sexually transmitted infections -- Introduction -- STI exposure associated with travel and migration -- Factors associated with increased exposure -- Travel-associated STIs -- Pre-travel interventions -- Vaccines and chemoprophylaxis for STI agents -- Post-travel interventions -- References -- Chapter 12 Tropical skin infections -- Bacterial infections -- Pyogenic infections -- Treponemal infections -- Mycobacterial infections -- Fungal infections -- Superficial fungal infection -- Subcutaneous fungal infection -- Deep fungal infection -- Parasitic and ectoparasitic infections -- Cutaneous leishmaniasis -- Schistosomiasis -- Onchocerciasis -- Strongyloidiasis -- Cutaneous larva migrans -- Tungiasis -- Myiasis -- Ticks -- Viral skin infections -- Bibliography -- Chapter 13 Rabies -- Introduction -- Epidemiology -- Clinical manifestation, diagnosis, and treatment -- Rabies vaccines -- Pre-exposure prophylaxis -- Who might benefit from pre-exposure vaccination? -- Booster doses of pre-exposure vaccine -- Post-exposure prophylaxis -- Booster post-exposure vaccination for previously vaccinated people -- Primary post-exposure vaccination (Tables 13.1 and 13.2) -- Rabies immune globulin -- Simplified scheme for economical rabies prophylaxis -- References -- Chapter 14 Vaccine-preventable diseases -- Principles of vaccine immunology -- Vaccine-mediated protection -- Vaccines and activation of innate immune responses -- Vaccine primary and booster antibody responses -- Adjuvants and the vaccine response -- Immunization and vaccination -- Live vaccines. Inactivated vaccines -- Administration of vaccines -- Correct administration of vaccines -- Administration technique -- Intramuscular and subcutaneous injection -- Intradermal injection -- Types of vaccines (Table 14.1) -- Vaccine-preventable infectious diseases -- References -- Section III Travelers with underlying medical problems and special needs -- Chapter 15 Women's health and travel -- Introduction -- Pre-travel counseling -- Pregnancy -- General considerations -- Complications -- Transportation and environmental risks -- Infectious diseases -- Malaria and pregnancy -- Vaccines -- Medications -- Breastfeeding while traveling -- Conclusion -- References -- Chapter 16 Traveling with children -- Introduction -- Pre-trip preparation for traveling children and adolescents -- Preventing injury and illness -- Avoiding injury -- Preventing insect-borne infections -- Decreasing and managing diarrhea -- Obtaining appropriate vaccinations -- Advancing higher? -- International adoption -- Pre-adoption -- Pre-adoption travel preparation of families and caregivers -- Post-adoption evaluation -- Growth -- Post-arrival screening for immigrants, refugees, and adoptees -- References -- Chapter 17 Travelers with underlying medical conditions -- Introduction -- Immunocompromised -- Human immunodeficiency virus infection -- Travelers taking steroids and/or immune-modulating drugs -- Diabetes -- Cardiovascular and respiratory disease -- Cardiovascular disease -- Respiratory disease -- References -- Chapter 18 The older traveler and traveling with disability -- Introduction -- General advice for the older or disabled traveler -- The older traveler -- Travel-related illness in the older traveler -- Travel-related infections -- Travel vaccines in the elderly -- The disabled traveler -- Travelers with physical disability. The hearing-impaired traveler -- The visually impaired traveler -- Conclusion -- References -- Chapter 19 Visiting friends and relatives -- Introduction -- Who are VFRs? -- Why are VFRs an important traveler subgroup? -- Why are VFRs at increased risk of disease? -- Which diseases are of particular importance among VFRs? -- Engaging VFRs -- Pre-travel advice for VFRs -- References -- Chapter 20 Migrants, refugees, and travel medicine -- Introduction -- The migration process and health -- From medical screening to access to care -- Health and diseases in migrants: a practitioner's perspective -- Infectious diseases -- Non-infectious diseases -- Mental health and violence -- Acquiring cultural competence -- Caring for patients: a patient-based approach -- References -- Chapter 21 Study-abroad programs: student health and safety issues -- Special risks faced by students who study and travel abroad -- Special challenges for international travel -- Risk management to support student health and safety abroad -- Conclusion -- References -- Chapter 22 Humanitarian aid workers, disaster relief workers, and missionaries -- Introduction -- Historical overview -- Current perspectives - the scope of need -- The person -- The place and prevalence gaps -- The purpose -- The processes -- Post-deployment review -- References -- Chapter 23 Long-term travelers -- Introduction -- The pre-travel consultation -- Malaria prevention in long-term travelers -- Pre-travel medical assessment -- Psychological considerations -- Access to healthcare -- Pregnancy and delivery -- Post-travel support -- References -- Section IV Environmental travel health risks -- Chapter 24 Aviation and travel medicine -- Physics of the flight environment -- Atmospheric pressure -- Atmospheric temperature -- Atmospheric ozone -- Cosmic radiation -- Physiology of flight -- Hypoxia. Aircraft pressurization. This 1st edition of Essential Travel Medicine provides an excellent concise introduction to the specialty of Travel Medicine. This core text will enable health care practitioners particularly those new to the clinical practice of Travel Medicine, to gain a fundamental understanding of the diverse and complex issues which can potentially affect the health of the many millions of people who undertake international travel. Jane N Zuckerman is joined by Gary W Brunette from CDC and Peter A Leggat from Australia as Editors. Leading international specialists in their fields have contributed authoritative chapters reflecting current knowledge to facilitate best clinical practice in the different aspects of travel medicine. The aim of Essential Travel Medicine is to provide a comprehensive guide to Travel Medicine as well as a fundamental knowledge base to support international undergraduate and postgraduate specialty training programmes in the discipline of Travel Medicine. The 1st edition of Essential Travel Medicine offers an indispensable resource of essential information for travel health practitioners, infectious disease specialists, occupational health specialists, public health specialists, family practitioners, pharmacists and other allied health professionals. This core text will appeal similarly to those training in Travel Medicine and to those who want a concise introduction to the subject or an ideal revision companion. EBL201710 Health Physics and Radiation Effects SzGeCERN BOOK Brunette, Gary Leggat, Peter https://cds.cern.ch/auth.py?r=EBLIB_P_2051521 ebook n 201741 201710 21 PUBLIC BOOK DELETED 2288743 SzGeCERN 20190812235036.0 9783527337064 print version 9783527679492 electronic version electronic version oai:cds.cern.ch:2288743 cerncds:BOOK EBL 1753386 eng TP156.E6.S373 2014eb 541.345 Schramm, Laurier L Emulsions, foams, suspensions, and aerosols microscience and applications 2nd ed. Weinheim John Wiley & Sons 2014 515 p ebook Emulsions, Foams, Suspensions, and Aerosols -- Contents -- Preface -- About the Author -- Acknowledgements -- Chapter 1 Introduction -- 1.1 From the Colloidal State to Nanotechnology -- 1.1.1 Microscience, Colloids, Nanoscience and Nanotechnology -- 1.2 Classification of Emulsions, Foams, Suspensions and Aerosols -- 1.2.1 Emulsions -- 1.2.2 Foams -- 1.2.3 Suspensions -- 1.2.4 Aerosols -- 1.2.5 Hybrids -- 1.3 Characterization and Stability -- References -- Chapter 2 Dispersion and Dispersed Species Characterization -- 2.1 Introduction -- 2.2 Surface Area, Surfaces, Porosity and Permeability -- 2.2.1 Surface Area -- 2.2.2 Surfaces -- 2.2.3 Porosity -- 2.2.4 Permeability -- 2.3 Size and Size Distribution -- 2.3.1 Microscopy -- 2.3.2 Filtration and Sieving -- 2.3.3 Radiation Scattering -- 2.3.4 Ultramicroscopy -- 2.3.5 Other Techniques -- 2.4 Conductivity -- 2.4.1 Dispersed Phase Identification -- 2.4.2 Sensing Zone Techniques -- 2.4.3 Conductivity of Dispersions -- 2.5 Sedimentation, Creaming and Centrifugation -- 2.5.1 Sedimentation and Creaming -- 2.5.2 Centrifugation and Ultracentrifugation -- 2.6 Characterization of Emulsions -- 2.6.1 Appearance and Emulsion Type -- 2.6.2 Experimental Assessment of Emulsion Stability -- 2.6.3 Composition -- 2.7 Characterization of Foams -- 2.7.1 Appearance and Foam Type -- 2.7.2 Experimental Assessment of Foam Stability -- 2.8 Characterization of Suspensions -- 2.8.1 Chemical and Surface Analysis -- 2.8.2 Experimental Assessment of Suspension Stability -- 2.9 Characterization of Aerosols -- 2.9.1 Aerosol Composition, Concentration, Size and Charge -- 2.9.2 Aerosol Processes and Stability -- References -- Chapter 3 Interfacial Energetics -- 3.1 Surface Area -- 3.2 Surface and Interfacial Tensions -- 3.2.1 Principles -- 3.2.2 Equation of Young-Laplace -- 3.2.3 Measurement. 3.2.3.1 Capillary Rise -- 3.2.3.2 Wilhelmy Plate -- 3.2.3.3 du Noüy Ring -- 3.2.3.4 Drop Weight and Volume Methods -- 3.2.3.5 Drop Shape Methods -- 3.2.3.6 Oscillating Jet Method -- 3.2.3.7 Spinning Drop Method -- 3.2.3.8 Maximum Bubble or Droplet Pressure Method -- 3.2.3.9 Microfluidic Methods -- 3.2.4 Experimental Results for Dispersions -- 3.3 Pressure and Curved Surfaces -- 3.4 Contact Angle and Wettability -- 3.5 Surfactants and Micelles -- 3.5.1 Surface Activity -- 3.5.1.1 Retardation of Evaporation by Monolayers -- 3.5.2 Classification and Analysis of Surfactants -- 3.5.3 Micelles -- 3.5.4 Surface Elasticity -- 3.5.5 Polymeric Surfactants -- 3.6 Applications of Surface Activity -- 3.6.1 Surfactants and Emulsification -- 3.6.2 Surfactants and Foaming -- 3.6.3 Surfactants and Flotation -- 3.6.4 Surfactants and Suspensions -- 3.6.5 Surfactants and Wetting -- 3.6.6 Surfactants and Detergency -- 3.7 Other Lyophilic Colloids: Microemulsions -- References -- Chapter 4 Electrokinetics -- 4.1 Charged Interfaces -- 4.2 Electric Double Layer -- 4.3 Electrokinetic Phenomena -- 4.3.1 Electrophoresis -- 4.3.2 Point of Zero Charge and Isoelectric Point -- 4.3.3 Electrodialysis -- 4.4 Electrostatic Properties in Non-aqueous Media -- References -- Chapter 5 Colloid Stability -- 5.1 Introduction -- 5.2 Electrostatic and Dispersion Forces -- 5.2.1 Repulsive Forces -- 5.2.2 Dispersion Forces -- 5.3 DLVO Theory and Practice -- 5.3.1 Theory -- 5.3.2 Practical Guidelines -- 5.3.3 Schulze-Hardy Rule -- 5.3.4 Peptization -- 5.4 Hydration and Steric Effects -- 5.4.1 Steric Stabilization -- 5.5 Additional Stabilizing Influences -- 5.5.1 Other Stabilizing Influences for Suspension Stability -- 5.5.2 Other Influences on Emulsion Stability -- 5.5.3 Other Influences on Foam Stability -- 5.6 Kinetics -- 5.7 Destabilization of Colloids. 5.7.1 Aggregation and Flocculation -- 5.7.2 Structures in Flocculation -- 5.7.3 Bridging Flocculation -- 5.7.4 Agglomeration Flocculation -- 5.7.5 Depletion Flocculation -- 5.7.6 Filtration -- 5.7.7 Foam Stability in the Presence of Oil -- 5.7.7.1 Adsorption of Stabilizing and Destabilizing Components -- 5.7.7.2 Spreading and Entering Coefficients -- 5.7.7.3 Emulsification and Imbibition Models -- 5.7.7.4 Pseudoemulsion Film Model -- References -- Chapter 6 Colloid Rheology -- 6.1 Introduction -- 6.2 Principles -- 6.3 Measurement -- 6.3.1 Tube Methods -- 6.3.2 Rotational Methods -- 6.3.3 Other Methods -- 6.4 Non-Newtonian Flow Properties -- 6.4.1 Pseudoplasticity -- 6.4.2 Dilatancy -- 6.4.3 Plasticity/Pseudoplasticity with Yield Stress -- 6.4.4 Thixotropy -- 6.4.5 Rheopexy -- 6.4.6 Viscoelasticity -- 6.4.7 Rheomalaxis -- 6.4.8 Summary -- 6.5 Other Viscosity Nomenclature and Parameters -- 6.5.1 Viscosity Nomenclature -- 6.5.2 Other Viscosity Parameters -- 6.5.3 Experimental Considerations -- 6.6 Dispersion Rheology -- 6.6.1 Einstein's Equation -- 6.6.2 Virial Expansions -- 6.6.3 Other Empirical Equations -- 6.6.4 Dispersed Phase Size and Polydispersity -- 6.6.5 Additional Considerations for Emulsions and Foams -- 6.6.6 Other Equations -- 6.7 Surface Rheology -- 6.8 Flow in Pipelines and Constraining Media -- 6.8.1 Applications in Pipeline Flow -- 6.8.2 Applications in Porous Media -- References -- Chapter 7 Preparation, Inhibition and Destruction of Dispersions -- 7.1 Introduction -- 7.2 Preparation -- 7.2.1 Preparation of Emulsions -- 7.2.2 Preparation of Foams -- 7.2.3 Preparation of Suspensions -- 7.2.4 Preparation of Aerosols -- 7.2.5 Ostwald Ripening -- 7.2.6 Size Fractionation -- 7.3 Destruction and/or Inhibition -- 7.3.1 Demulsification -- 7.3.2 Antifoaming and Defoaming -- References. Chapter 8 Introduction to Practical and Industrial Applications -- 8.1 General Uses -- 8.2 Emulsions -- 8.3 Foams -- 8.4 Suspensions -- 8.5 Aerosols -- 8.6 Hazards -- References -- Chapter 9 Applications in the Environment -- 9.1 Introduction -- 9.2 Rocks, Sediments and Soils -- 9.2.1 Magmas -- 9.2.2 Aquatic Suspensions -- 9.2.3 Soils -- 9.3 Environmental Soil Remediation -- 9.4 Water and Wastewater Treatment -- 9.5 Spills and Other Hazards -- 9.6 Environmental Foam Blankets -- 9.7 Environmental Aerosols -- 9.7.1 Clouds -- 9.7.2 Atmospheric Aerosols and Climate -- 9.7.3 Aerosol Treatment -- References -- Chapter 10 Mining and Mineral Processing Applications -- 10.1 Introduction -- 10.2 Hydraulic Mining and Hydrotransport -- 10.3 Mineral Flotation -- 10.3.1 Carrier, Emulsion and Floc Flotation -- 10.4 Tailings and Tailings Ponds -- 10.5 Dust-Suppressing Foam Blankets -- References -- Chapter 11 Petroleum Industry Applications -- 11.1 Introduction -- 11.2 Oilwells, Gas Wells and Near Wells -- 11.2.1 Drilling and Completion Fluids -- 11.2.2 Well Stimulation: Fracturing and Acidizing -- 11.2.3 Gas Well Unloading -- 11.3 Reservoirs -- 11.3.1 Primary and Secondary Oil Recovery -- 11.3.2 Enhanced (Tertiary) Oil Recovery -- 11.3.2.1 Chemical, Microemulsion and Macroemulsion Flooding -- 11.3.2.2 Foam Injection Processes -- 11.4 Surface Operations -- 11.4.1 Surface Treatment -- 11.4.2 Oil Sands Processing -- 11.4.3 Pipeline Transportation -- 11.4.4 Upgraders and Refineries -- References -- Chapter 12 Manufacturing and Materials Science Applications -- 12.1 Introduction -- 12.2 Wood Processing and Papermaking -- 12.3 Inks and Printing -- 12.4 Emulsions for Road Paving -- 12.5 Metalworking -- 12.6 Cleaning Processes -- 12.6.1 Detergency -- 12.6.2 De-inking -- 12.7 Surface Coatings Including Paints -- 12.8 Polymer Synthesis. 12.9 Ceramics Manufacture -- 12.9.1 Aerogels and Xerogels -- 12.10 Firefighting Foams -- 12.11 Other Applications -- References -- Chapter 13 Food Product and Agricultural Applications -- 13.1 Introduction to Food Colloids -- 13.2 Stabilizing Agents -- 13.3 Preparation -- 13.4 Stability -- 13.5 Protein-Stabilized Emulsions -- 13.5.1 Ice Cream -- 13.5.2 Cream Liqueurs -- 13.6 Non-protein-Stabilized Emulsions -- 13.6.1 Carbonated Soft Drinks -- 13.7 Foam Food Products -- 13.7.1 Baked Products -- 13.7.2 Foam Toppings -- 13.7.3 Champagne and Beer Foams -- 13.7.4 Coffee Beverage Foam -- 13.7.5 Undesirable Food Foams -- 13.8 Other Food Colloids -- 13.8.1 Food Suspensions -- 13.8.2 Food Aerosols -- 13.8.3 Mixed Food Colloids -- 13.9 Introduction to Agricultural Colloids -- References -- Chapter 14 Biological and Medical Applications -- 14.1 Introduction -- 14.2 Vesicle Carriers -- 14.3 Polymer Coatings -- 14.4 Emulsion Carriers -- 14.5 Colloids in Diagnostics -- 14.6 Smart Materials in Medicine -- References -- Chapter 15 Personal Care Product Applications -- 15.1 Introduction -- 15.2 Detergents, Shampoos and Conditioners -- 15.3 Cosmetic Skin Care Products -- 15.4 Other Personal Care Products -- 15.4.1 Aerosol Sprays and Foams -- References -- Chapter 16 Emerging Areas in Emulsions, Foams, Suspensions and Aerosols -- 16.1 Introduction -- 16.2 Microscopy, Supermicroscopy and Nanoscopy -- 16.3 Combatting Terror Agents -- 16.4 Smart Colloids and Smart Materials -- 16.5 Nanomaterials and Nanodispersions -- 16.5.1 Nanosheets, Nanotubes and Nanowires -- 16.5.2 Other "Nano" Applications -- 16.6 Nanoscience Phenomenology and Biomimetics -- 16.6.1 Reflective and Antireflective Surfaces -- 16.6.2 Adhesive Surfaces -- 16.6.3 Wetting and Slip on Surfaces -- 16.6.4 Nanomechanics -- References -- Index -- EULA. This is the first book to provide an integrated introduction to the nature, formation and occurrence, stability, propagation, and uses of the most common types of colloidal dispersion in the process-related industries. The primary focus is on the applications of the principles, paying attention to practical processes and problems. This is done both as part of the treatment of the fundamentals, where appropriate, and also in the separate sections devoted to specifi c kinds of industries. Throughout, the treatment is integrated, with the principles of colloid and interface science common to each dispersion type presented for each major physical property class, followed by separate treatments of features unique to emulsions, foams, or suspensions. The first half of the book introduces the fundamental principles, introducing readers to suspension formation and stability, characterization, and fl ow properties, emphasizing practical aspects throughout. The following chapters discuss a wide range of industrial applications and examples, serving to emphasize the diff erent methodologies that have been successfully applied. The author assumes no prior knowledge of colloid chemistry and, with its glossary of key terms, complete cross-referencing and indexing, this is a must-have for graduate and professional scientists and engineers who may encounter or use emulsions, foams, or suspensions, or combinations thereof, whether in process design, industrial production, or in related R&D fields. EBL201710 Chemical Physics and Chemistry SzGeCERN EBL Emulsions BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1753386 ebook n 201741 201710 21 PUBLIC BOOK DELETED 2288741 SzGeCERN 20190226231416.0 9781606504857 (electronic bk.) electronic version 9781606504840 electronic version 9781606504840 print version oai:cds.cern.ch:2288741 cerncds:BOOK EBL 1736341 eng TJ820 -- .A278 2014 621.45 Abraham, John P Small-scale wind power design, analysis, and environmental impacts New York, NY Momentum Press 2014 198 p ebook Cover -- Abstract -- Contents -- List of Figures -- List of Contributors -- CHAPTER 1: Introduction to Small-Scale Wind Power -- CHAPTER 2: Financial and Implementation Considerations ofSmall-Scale Wind Turbines -- CHAPTER 3: Design of Darrieus-Type Wind Turbines -- CHAPTER 4: Design of Savonius-Style Wind Turbines -- CHAPTER 5: Design of Horizontal-Axis Wind Turbines -- CHAPTER 6: Numerical Simulations of Small Wind Turbines-HAWT Style -- CHAPTER 7: Case Studies of Small Wind Applications -- Index -- AD page -- Cover. In today's world, clean and robust energy sources are being sought to provide power to residences, commercial operations, and manufacturing enterprises. Among the most appealing energy sources is wind power-with its high reliability and low environmental impact. Wind power's rapid penetration into markets throughout the world has taken many forms, and this book discusses the types of wind power, as well as the appropriate decisions that need to be made regarding wind power design, testing, installation, and analysis. Inside, the authors detail the design of various small-wind systems including horizontal-axis wind turbines (HAWTs) and vertical-axis wind turbines (VAWTs). The design of wind turbines takes advantage of many avenues of investigation, all of which are included in the book. Analytical methods that have been developed over the past few decades are major methods used for design. Alternatively, experimentation (typically using scaled models in wind tunnels) and numerical simulation (using modern computational fluid dynamic software) are also used and will be dealt with in depth. In addition to the analysis of wind turbine performance, it is important for users to assess the economic benefits of using wind power. An entire chapter of this book is devoted to this topic, as well as case studies that help elucidate the issues that you'll need to consider, from siting and mechanical complications, to performance and maintenance. EBL201710 Engineering SzGeCERN EBL clean energy EBL Darrieus wind turbines EBL horizontal-axis wind turbines EBL local power production EBL off-grid energy generation EBL Small power production facilities BOOK Plourde, Brian https://cds.cern.ch/auth.py?r=EBLIB_P_1736341 ebook n 201741 201710 21 PUBLIC BOOK DELETED 2288717 SzGeCERN 20180515232352.0 9781606502471 (electronic bk.) electronic version 9781606502457 electronic version EBL 954638 eng TK2933.P76 -- W256 2013 621.312429 Wang, Yun PEM fuel cells thermal and water management fundamentals New York, NY Momentum Press 2014 420 p Contents -- Preface -- List of Figures -- List of Tables -- Nomenclature -- CHAPTER 1. Introduction -- CHAPTER 2. Basics of PEM Fuel Cells -- CHAPTER 3. Fundamentals of Heat and Mass Transfer -- CHAPTER 4. Water and Its Transport in the Polymer Electrolyte Membrane -- CHAPTER 5. Vapor-Phase Water Removal and Management -- CHAPTER 6. Liquid Water Dynamics and Removal -- CHAPTER 7. ICE Dynamics and Removal -- CHAPTER 8. Thermal Transport and Management -- CHAPTER 9. Coupled Thermal-Water Management: Phase Change -- APPENDI XII.A. Thermodynamic Properties of Air, Hydrogen Gas, and Water Vapor -- APPENDIX II.B. Calculation of the Enthalpy, Entropy, and Gibbs Free Energy for a Substance and the Overall PEM Fuel Cell Reaction -- APPENDIX III.A. Mass, Momentum, and Energy Conservation Equations in the Cartesian, Cylindrical, and Spherical Coordinates -- APPENDIX III.B. Mathematical Basics and Relations -- APPENDIX III.C. Henry's Constant for Selected Gases in Water at Moderate Pressure -- APPENDIX IV.A. Membrane Materials -- APPENDIX IV.B. Ion Transport in Electrolytes -- APPENDIX V.A. Transport Properties of Typical Gases at Atmospheric Pressure -- APPENDIX VI.A. Governing Equations of Multiphase Flow and Heat Transfer In Porous Media -- APPENDIX VI. B. Multiphase Mixture Modelin Porous Media -- APPENDI X VIII.A. Thermal Properties of Selected Materials -- Index. Polymer Electrolyte Membrane (PEM) fuel cells convert chemical energy in hydrogen into electrical energy with water as the only by-product. Thus, PEM fuel cells hold great promise to reduce both pollutant emissions and dependency on fossil fuels, especially for transportation-passenger cars, utility vehicles, and buses-and small-scale stationary and portable power generators. But one of the greatest challenges to realizing the high efficiency and zero emissions potential of PEM fuel cells technology is heat and water management. This book provides an introduction to the essential concepts for effective thermal and water management in PEM fuel cells and an assessment on the current status of fundamental research in this field. The book offers you: An overview of current energy and environmental challenges and their imperatives for the development of renewable energy resources, including discussion of the role of PEM fuel cells in addressing these issues; Reviews of basic principles pertaining to PEM fuel cells, including thermodynamics, electrochemical reaction kinetics, flow, heat and mass transfer; and Descriptions and discussions of water transport and management within a PEM fuel cell, including vapor- and liquid-phase water removal from the electrodes, the effects of two-phase flow, and solid water or ice dynamics and removal, particularly the specialized case of starting a PEM fuel cell at sub-freezing temperatures (cold start) and the various processes related to ice formation. Chen, Ken S Cho, Sung Chan 9781606502457 print version oai:cds.cern.ch:2288717 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_954638 ebook ebook EBL energy EBL fundamental EBL PEM fuel cells EBL Proton exchange membrane fuel cells EBL thermal management EBL two-phase flow EBL201710 Engineering SzGeCERN BOOK n 201741 201710 21 PUBLIC BOOK DELETED 2288714 SzGeCERN 20171220020712.0 9781606502594 (electronic bk.) electronic version 9781606502570 electronic version EBL 954628 eng TJ1075 -- .C427 2013 621.89 Glaeser, William A Characterization of tribological materials 2nd ed. New York, NY Momentum Press 2014 202 p Contents -- Preface to the Second Edition -- Preface to the Reissue of the Materials Characterization Series -- Preface to Series -- Preface to the Reissue of Characterization of Tribological Materials -- Preface -- Acronyms -- Contributors -- Chapter 1. Introduction -- Chapter 2. The Role of Adhesion in Wear -- Chapter 3. Friction -- Chapter 4. Adhesive Wear -- Chapter 5. Abrasive Wear -- Chapter 6. Boundary Lubrication -- Chapter 7. Magnetic Recording Surfaces -- Chapter 8. Surface Analysis of Precision Ball Bearings -- Chapter 9. Atomic Force Microscope Nanofriction -- Appendices: Technique Summaries -- Light Microscopy -- Scanning Electron Microscopy (SEM) -- In Situ Wear Device for the Scanning Electron Microscope -- Scanning Tunneling Microscopy and Scanning Force Microscopy (STM and SFM) -- Transmission Electron Microscopy (TEM) -- Energy-Dispersive X-Ray Spectroscopy (EDS) -- Scanning Transmission Electron Microscopy (STEM) -- Electron Probe X-Ray Microanalysis (EPMA) -- X-Ray Diffraction (XRD) -- Low-Energy Electron Diffraction (LEED) -- X-Ray Photoelectron Spectroscopy (XPS) -- Auger Electron Spectroscopy (AES) -- Fourier Transform Infrared Spectroscopy (FTIR) -- Raman Spectroscopy -- Rutherford Backscattering Spectrometry (RBS) -- Static Secondary Ion Mass Spectrometry (Static SIMS) -- Surface Roughness: Measurement, Formation by Sputtering, Impact on Depth Profiling -- Index -- Other Title Page. This classic text discusses the use of advanced surface science characterization techniques in friction, adhesive and abrasive wear, boundary lubrication, contact fatigue, and other important failure processes. Surface characterization of bearings, gears, seals, and other manufactured rolling and sliding surfaces are increasingly routine in advanced quality control of processes and in the manufacture of precision components. This book is an indispensable asset to scientists and engineers using tribological characterization techniques. New content in this edition include: four new figures to illustrate real surface contact added to Chapter 1. coverage of the use of the Environmental SEM (ESEM) in examining wear of fiber glass filled PTFE added to chapter 4. new information on the wear of ceramics added to Chapter 5. updates for new analytical systems added to Chapter 6. coverage of Atomic Force Microscope (ATM) and its usefulness in the field of nano-tribology, providing not only full microtopography of surface roughness but also measurement of nano-friction and nanohardness of surface films, added in a new Chapter 9. the 17 Appendices have been completely revamped with essential information organized into convenient tables. 9781606502570 print version oai:cds.cern.ch:2288714 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_954628 ebook ebook EBL Materials -- Mechanical properties EBL surface analytical techniques EBL surface contact EBL tribology EBL Tribology EBL wear and failure EBL201710 Engineering SzGeCERN BOOK n 201741 201710 21 PUBLIC BOOK DELETED 2288681 SzGeCERN 20210421210220.0 9780387339122 print version 9780387358352 electronic version electronic version oai:cds.cern.ch:2288681 cerncds:BOOK EBL 323511 eng GB3-5030 530 Faraoni, Valerio Exercises in environmental physics New York, NY Springer 2006 339 p ebook Pages:1 to 25 -- Pages:26 to 50 -- Pages:51 to 75 -- Pages:76 to 100 -- Pages:101 to 125 -- Pages:126 to 150 -- Pages:151 to 175 -- Pages:176 to 200 -- Pages:201 to 225 -- Pages:226 to 250 -- Pages:251 to 275 -- Pages:276 to 300 -- Pages:301 to 325 -- Pages:326 to 339. First exercise book dedicated to environmental physicsFor use in various courses in environmental sciences. EBL201710 Physics in general SzGeCERN EBL Atmospheric physics EBL Electronic books -- local EBL Environmental sciences BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_323511 ebook n 201741 21 PUBLIC https://catalogue.library.cern/legacy/2288681 BOOK MIGRATED 2288579 SzGeCERN 20171013220923.0 oai:cds.cern.ch:2288579 cerncds:FULLTEXT AIDA-2020-POSTER-2017-005 eng Gkotse, B. CERN, MINES ParisTech Towards a Unified Environmental Monitoring, Control and Data Management System for Irradiation Facilities: the IRRAD Use Case 2017 Geneva CERN 2017-10-04 FP7 654168 AIDA-2020 openAccess CERN Invenio WebSubmit GENEU 0.1 Detectors and Experimental Techniques SzGeCERN 15: Upgrade of beam and irradiation test infrastructure AIDA-2020 WP AIDA-2020 AIDA-2020POSTER CERN Glaser, M. CERN Jouvelot, P. MINES ParisTech Matli, E. CERN Pezzullo, G. CERN Ravotti, F. CERN 1359411 1285341 http://cds.cern.ch/record/2288579/files/AIDA-2020-POSTER-2017-005.pdf 1359411 12609856 http://cds.cern.ch/record/2288579/files/AIDA-2020-POSTER-2017-005.pdf?subformat=pdfa pdfa 1359411 14197 http://cds.cern.ch/record/2288579/files/AIDA-2020-POSTER-2017-005.jpg?subformat=icon- icon- 1359411 8570 http://cds.cern.ch/record/2288579/files/AIDA-2020-POSTER-2017-005.gif?subformat=icon icon livia.lapadatescu@cern.ch PUBLIC AIDA-2020 2288406 SzGeCERN 20210421210257.0 9780128026106 0128026103 9780128023907 oai:cds.cern.ch:2288406 cerncds:BOOK SAFARI on1003042493 OCoLC 1003042493 eng TJ163.2 Sørensen, Bent Renewable energy physics, engineering, environmental impacts, economics and planning 5th ed. London Academic Press 2017 mult. p ebook SAF201710 SzGeCERN Engineering SAF Renewable energy sources BOOK 4th ed. 2011 1564831 edition https://learning.oreilly.com/library/view/-/9780128026106/?ar ebook n 201741 21 PUBLIC https://catalogue.library.cern/legacy/2288406 BOOK MIGRATED 2288357 SzGeCERN 20180607220036.0 oai:cds.cern.ch:2288357 cerncds:FULLTEXT cerncds:CERN:FULLTEXT INIS cerncds:CERN CMS-CR-2017-214 eng Eysermans, Jan CCID-751221 INSPIRE-00547461 Puebla U., Inst. Fis. Operation and performance of the CMS Resistive Plate Chambers during LHC run II 2017 Geneva CERN 17 Aug 2017 6 p The Resitive Plate Chambers (RPC) at the Compact Muon Solenoid (CMS) experiment at the CERN Large Hadron Collider (LHC) provide redundancy to the Drift Tubes in the barrel and Cathode Strip Chambers in the endcap regions. Consisting of 1056 double gap RPC chambers, the main detector parameters and environmental conditions are carefully monitored during the data taking period. At a center of mass energy of 13 TeV, the luminosity reached record levels which was challenging from the operational and performance point of view. In this work, the main operational parameters are discussed and the overall performance of the RPC system is reported for the LHC run II data taking period. With a low amount of inactive chambers, a good and stable detector performance was achieved with high efficiency. CC-BY-4.0 Preprint CERN EDS SzGeCERN Detectors and Experimental Techniques CMS Muons INTNOTE CERN PUBLCMS CERN LHC CMS Pedraza Morales, Maria Isabel CCID-663375 INSPIRE-00221706 Puebla U., Inst. Fis. PH CMS Collaboration 1359246 1577910 http://cds.cern.ch/record/2288357/files/CR2017_214.pdf n 201741 2288199 mexico20170524 PUBLIC INTNOTECMSPUBL ConferencePaper PREPRINT 2288116 SzGeCERN 20210423003553.0 ISO-TR-14061 oai:cds.cern.ch:2288116 cerncds:FULLTEXT 2242692CERCER fre 65.020.01 International Organization for Standardization. Geneva Information pour assister les organismes forestiers dans l'utilisation des normes ISO 14001 et ISO 14004 relatives aux systèmes de management environnemental Geneva ISO 1998 76 p 20160928 ICS added SzGeCERN Engineering CERN standards, environmental management systems STANDARD English version 488416 Language 1359006 469772 http://cds.cern.ch/record/2288116/files/14061F.PDF h 201741 13 https://catalogue.library.cern/legacy/2288116 STANDARD BookChapter MIGRATED 2288109 SzGeCERN 20210423003554.0 ISO-FDIS-14043 2242689CERCER fre 13.020.60 13.020.10 International Organization for Standardization. Geneva Management environnemental : analyse du cycle de vie : interprétation du cycle de vie Geneva ISO 2000 25 p SzGeCERN Engineering CERN standards, environmental management systems STANDARD English version 488413 Language 1359001 192472 http://cds.cern.ch/record/2288109/files/14043F.PDF h 201741 21 https://catalogue.library.cern/legacy/2288109 BOOK STANDARD MIGRATED 2287907 SzGeCERN 20210421210305.0 9783319654119 print version 9783319654126 electronic version electronic version DOI 10.1007/978-3-319-65412-6 ebook oai:cds.cern.ch:2287907 cerncds:BOOK eng QC19.2-20.85 519 23 Skiba, Yuri N Mathematical problems of the dynamics of incompressible fluid on a rotating sphere Cham Springer 2017 ebook Chapter 01- Introduction -- Chapter 02- Spaces of Functions on a Sphere -- Chapter 03- Solvability of Vorticity Equation on a Sphere -- Chapter 04- Dynamics of Ideal Fluid on a Sphere -- Chapter 05- Stability of Rossby-Haurwitz (RH) Waves -- Chapter 06- Stability of Modons and Wu-Verkley waves -- Chapter 07- Linear and Nonlinear Stability of Flows -- Chapter 08- Numerical Study of Linear Stability -- References. This book presents selected mathematical problems involving the dynamics of a two-dimensional viscous and ideal incompressible fluid on a rotating sphere. In this case, the fluid motion is completely governed by the barotropic vorticity equation (BVE), and the viscosity term in the vorticity equation is taken in its general form, which contains the derivative of real degree of the spherical Laplace operator. This work builds a bridge between basic concepts and concrete outcomes by pursuing a rich combination of theoretical, analytical and numerical approaches, and is recommended for specialists developing mathematical methods for application to problems in physics, hydrodynamics, meteorology and geophysics, as well for upper undergraduate or graduate students in the areas of dynamics of incompressible fluid on a rotating sphere, theory of functions on a sphere, and flow stability. Mathematics and statistics SPR201710 SzGeCERN Mathematical Physics and Mathematics SPR Atmospheric sciences SPR Environmental sciences SPR Math Appl in Environmental Science SPR Atmospheric Sciences BOOK SPR n 201741 201710 21 PUBLIC https://catalogue.library.cern/legacy/2287907 BOOK MIGRATED 2287892 SzGeCERN 20210421210309.0 9783319604138 print version 9783319604145 electronic version electronic version DOI 10.1007/978-3-319-60414-5 ebook oai:cds.cern.ch:2287892 cerncds:BOOK eng QA370-380 515.353 23 Khapalov, Alexander Y Mobile point sensors and actuators in the controllability theory of partial differential equations Cham Springer 2017 ebook 1. Introduction -- Part I: 2. Continuous observability of the heat equation under a single mobile point sensor -- 3. Continuous observability of the 2-nd order paragolic equations under degenerate mobile sensors -- Part II: 4. Behavior of solutions of the semilinear heat equation in vanishing time and controllability -- 5. Controllability of the semiliniear heat equation with sublinear term and degenerate actuator -- 6. Controllability of the semilinear reaction-diffusion equation with degenerate actuator -- 7. Semilinear parabolic equations: Mobile point controls vs the locally distributed ones -- Part III: 8. Degenerate sensors in source localization and sensor placement problems -- Part IV: 9. Continuous observability of hyperbolic equations under degenerate sensors -- 10. Controllability of the wave equation governed by mobile point controls -- Part V: 11. Exponential decay for the wave equation equipped with a point damping device -- 12. A vibrating string with shuttle-like point dampers and related observability properties -- References. . This book presents a concise study of controllability theory of partial differential equations when they are equipped with actuators and/or sensors that are finite dimensional at every moment of time. Based on the author’s extensive research in the area of controllability theory, this monograph specifically focuses on the issues of controllability, observability, and stabilizability for parabolic and hyperbolic partial differential equations. The topics in this book also cover related applied questions such as the problem of localization of unknown pollution sources based on information obtained from point sensors that arise in environmental monitoring. Researchers and graduate students interested in controllability theory of partial differential equations and its applications will find this book to be an invaluable resource to their studies. Mathematics and statistics SPR201710 SzGeCERN Mathematical Physics and Mathematics SPR System theory SPR Systems Theory, Control BOOK SPR n 201741 201710 21 PUBLIC https://catalogue.library.cern/legacy/2287892 BOOK MIGRATED 2287891 SzGeCERN 20210421210309.0 9783319602813 print version 9783319602820 electronic version electronic version DOI 10.1007/978-3-319-60282-0 ebook oai:cds.cern.ch:2287891 cerncds:BOOK eng QA370-380 515.353 23 Particles in flows Cham Springer 2017 ebook Advances in mathematical fluid mechanics 2297-0320 This book aims to face particles in flows from many different, but essentially interconnected sides and points of view. Thus the selection of authors and topics represented in the chapters, ranges from deep mathematical analysis of the associated models, through the techniques of their numerical solution, towards real applications and physical implications. The scope and structure of the book as well as the selection of authors was motivated by the very successful summer course and workshop "Particles in Flows'' that was held in Prague in the August of 2014. This meeting revealed the need for a book dealing with this specific and challenging multidisciplinary subject, i.e. particles in industrial, environmental and biomedical flows and the combination of fluid mechanics, solid body mechanics with various aspects of specific applications. Mathematics and statistics SPR201710 SzGeCERN Mathematical Physics and Mathematics SPR Fluids SPR Fluid mechanics SPR Physiological, Cellular and Medical Topics SPR Mathematical Applications in the Physical Sciences SPR Engineering Fluid Dynamics SPR Fluid- and Aerodynamics BOOK Bodnár, Tomáš ed. Galdi, Giovanni ed. Nečasová, Šárka ed. SPR n 201741 201710 21 PUBLIC https://catalogue.library.cern/legacy/2287891 BOOK MIGRATED 2287507 20210715193147.0 DOI 10.1088/1748-0221/12/04/P04027 oai:cds.cern.ch:2287507 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:1702.01240 oai:inspirehep.net:1512293 https://inspirehep.net/api/oai2d Inspire 2021-06-29T11:24:26Z 2021-07-14T19:25:11Z marcxml true Inspire 1512293 arXiv arXiv:1702.01240 physics.ins-det eng Keyes, R. INSPIRE-00377077 McGill U. Department of Physics - McGill U. - 3600 U. Street - Montréal - Québec - H3A 2T8 - Canada arXiv Development and Characterisation of a Gas System and its Associated Slow-Control System for an ATLAS Small-Strip Thin Gap Chamber Testing Facility arXiv Development and Characterisation of a Gas System and its Associated Slow-Control System for an ATLAS Small-Strip Thin Gap Chamber Testing Facility 2017-04-26 2017-02-04 24 p arXiv 23 pages, LaTeX, 14 figures, 4 tables, proof corrections for Journal of Instrumentation (JINST), including corrected Fig. 8b) IOP A quality assurance and performance qualification laboratory was built at McGill University for the Canadian-made small-strip Thin Gap Chamber (sTGC) muon detectors produced for the 2019–2020 ATLAS experiment muon spectrometer upgrade. The facility uses cosmic rays as a muon source to ionise the quenching gas mixture of pentane and CO(2) flowing through the sTGC detector. A gas system was developed and characterised for this purpose, with a simple and efficient gas condenser design utilizing a Peltier thermoelectric cooler (TEC). The gas system was tested to provide the desired 45 vol% pentane concentration. For continuous operations, a state-machine system was implemented with alerting and remote monitoring features to run all cosmic-ray data-acquisition associated slow-control systems, such as high/low voltage, gas system and environmental monitoring, in a safe and continuous mode, even in the absence of an operator. arXiv A quality assurance and performance qualification laboratory was built at McGill University for the Canadian-made small-strip Thin Gap Chamber (sTGC) muon detectors produced for the 2019-2020 ATLAS experiment muon spectrometer upgrade. The facility uses cosmic rays as a muon source to ionise the quenching gas mixture of pentane and carbon dioxide flowing through the sTGC detector. A gas system was developed and characterised for this purpose, with a simple and efficient gas condenser design utilizing a Peltier thermoelectric cooler (TEC). The gas system was tested to provide the desired 45 vol% pentane concentration. For continuous operations, a state-machine system was implemented with alerting and remote monitoring features to run all cosmic-ray data-acquisition associated slow-control systems, such as high/low voltage, gas system and environmental monitoring, in a safe and continuous mode, even in the absence of an operator. arXiv http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv nonexclusive-distrib. 1.0 IOP cc-by http://creativecommons.org/licenses/by/3.0/ publication hep-ex arXiv Particle Physics - Experiment SzGeCERN physics.ins-det arXiv Detectors and Experimental Techniques SzGeCERN CERN ARTICLE CERN LHC ATLAS Johnson, K.A. McGill U. Department of Physics - McGill U. - 3600 U. Street - Montréal - Québec - H3A 2T8 - Canada Pepin, L. McGill U. Department of Physics - McGill U. - 3600 U. Street - Montréal - Québec - H3A 2T8 - Canada Léger, F. McGill U. Department of Physics - McGill U. - 3600 U. Street - Montréal - Québec - H3A 2T8 - Canada Qin, C. McGill U. Department of Physics - McGill U. - 3600 U. Street - Montréal - Québec - H3A 2T8 - Canada Webster, S. INSPIRE-00291974 McGill U. Department of Physics - McGill U. - 3600 U. Street - Montréal - Québec - H3A 2T8 - Canada Robichaud-Véronneau, A. INSPIRE-00220239 McGill U. Department of Physics - McGill U. - 3600 U. Street - Montréal - Québec - H3A 2T8 - Canada Bélanger-Champagne, C. INSPIRE-00037478 McGill U. Department of Physics - McGill U. - 3600 U. Street - Montréal - Québec - H3A 2T8 - Canada Lefebvre, B. INSPIRE-00426582 McGill U. Department of Physics - McGill U. - 3600 U. Street - Montréal - Québec - H3A 2T8 - Canada Robertson, S.H. INSPIRE-00120586 McGill U. Department of Physics - McGill U. - 3600 U. Street - Montréal - Québec - H3A 2T8 - Canada Warburton, A. INSPIRE-00134957 awarburt@physics.mcgill.ca McGill U. Department of Physics - McGill U. - 3600 U. Street - Montréal - Québec - H3A 2T8 - Canada Vachon, B. INSPIRE-00056509 McGill U. Department of Physics - McGill U. - 3600 U. Street - Montréal - Québec - H3A 2T8 - Canada Corriveau, F. INSPIRE-00074601 McGill U. Department of Physics - McGill U. - 3600 U. Street - Montréal - Québec - H3A 2T8 - Canada P04027 04 JINST 12 (2017) P04027 2017 JINST 12 1357414 982357 http://cds.cern.ch/record/2287507/files/arXiv:1702.01240.pdf 1357415 2226 http://cds.cern.ch/record/2287507/files/figures_Gas_System_Diagram_2_For_NIM.png 00001 Diagram of the mixing apparatus. The path of the flowing gas is indicated by the arrows. The blue-filled droplets indicate the condensed \np{} which falls back into the vessel by gravity while the round white-filled shapes indicate the bubbling \co{} gas mixing with the liquid \np{}. 1357416 5218 http://cds.cern.ch/record/2287507/files/figures_PentaneFraction.png 00000 Volume fraction of \np{} as a function of temperature assuming atmospheric pressure and Amagat's law~\cite{CHERIC}. The blue dashed line indicates the desired 45~\vp{} \np{} operating point. 1357417 3632 http://cds.cern.ch/record/2287507/files/figures_Gas_System_Exhaust_Diagram_For_NIM.png 00006 Diagram of the recovery and exhaust apparatus. The path of the flowing gas is indicated by the arrows. The recovery vessel is housed in a refrigerator and maintained at 0\deg{}. The blue-filled droplets indicate the condensed \np{} that falls back into the vessel by gravity. The three-way valve on each line can be used to bypass the recovery system. 1357418 5669 http://cds.cern.ch/record/2287507/files/figures_StateMachineErrorDiagram.png 00012 State-machine description. (a) State-machine transition diagram. The wide vertical arrow indicates the increasing state hierarchy. The \emph{Timeout} illustrated here is the time allowed for the system to be in the \emph{Pause} state, after which the system transitions to the \emph{\co{} Bypass} state. (b) State-machine errors. The \emph{Timeout} illustrated here is the time allowed for a \emph{Warning level} error to be active before it becomes a \emph{Critical level} error.Caption not extracted 1357419 13276 http://cds.cern.ch/record/2287507/files/figures_pentane_fraction_VS_temp2_shift.png 00007 The \np{} concentration of the gas mixture as produced by the mixing apparatus, measured using two different methods: a mass measurement (blue points) and a gas chromatography (GC) measurement (red points). Multiple measurements for each Peltier set point are combined. The point in green indicates the GC measurement of a gas sample collected after the recovery refrigerator. The dashed line shows the theoretical calculation for the \np{} vapour pressure, adjusted for the gas temperature measured inside the Peltier condenser. 1357420 6513 http://cds.cern.ch/record/2287507/files/figures_StateTransitionDiagram.png 00011 None 1357421 6757 http://cds.cern.ch/record/2287507/files/figures_ConnectionDiagram.png 00010 Diagram of the connection between the different slow-control components. The interlocks from the ``Relays'' box are those activated by the emergency relay. 1357422 6979 http://cds.cern.ch/record/2287507/files/figures_Condenser.png 00004 Front and bottom views of the cooling plate and pipe assembly. 1357423 13599 http://cds.cern.ch/record/2287507/files/figures_recovery_efficiency_vs_temp.png 00008 None 1357424 16302 http://cds.cern.ch/record/2287507/files/figures_Standard_Stop_Draft_FINAL.png 00015 Temperatures and flow rates (a), and differential pressures (b) during a standard start sequence of the gas system. Temperatures and flow rates (c), and differential pressures (d) during a standard stop sequence of the gas system.Caption not extracted 1357425 11834 http://cds.cern.ch/record/2287507/files/figures_exhaust_pentane_concentration.png 00009 Characterisation of the \np{} recovery system. (a) The recovered fraction of the \co{}:\np{} gas mixture in the \np{} recovery vessel in the refrigerator downstream of the \tgc{} and (b) the exhaust \np{} concentration downstream of the \tgc{} and refrigerator for different data taking runs. In (a), the points roughly align on the pentane volume fraction curve (dotted line) while in (b), the points are fitted with a straight line (red dotted line). Multiple measurements for each Peltier set point are combined.Caption not extracted 1357426 158717 http://cds.cern.ch/record/2287507/files/figures_GasSystemCalc.png 00002 None 1357427 11836 http://cds.cern.ch/record/2287507/files/figures_Diff_Standard_Stop_FINAL.png 00016 Caption not extracted 1357428 16292 http://cds.cern.ch/record/2287507/files/figures_CO2_empty_tank_pressure_curve.png 00017 A typical plot observed from the monitoring tool as the \co{} tank empties. Each slope corresponds to a certain input flow rate (from left to right: \co{} flush of one line at 100~\ml{}/min (A), \np{}-\co{} flush of one line at 45~\ml{}/min (B), \np{}-\co{} flush of one line at 15~\ml{}/min (C), \co{} flush of one line at 100~\ml{}/min (D) and \co{} flush of five lines at 100~\ml{}/min each (E)). 1357429 10411 http://cds.cern.ch/record/2287507/files/figures_Gas_System_Diagram_1_For_NIM.png 00005 Gas System Diagram. The gas flows from left to right. Two independent Mass Flow Controllers (MFC) control the gas flow input for the two sets of lines (pure \co{} and \co{}:\np{} mixture). The layout for each individual gas line is shown in the box, with the sTGC detector connected to the gas line. In the special case of the dedicated \co{} lines, the 3-way valve is a simpler 2-way valve and the exhaust manifold, situated downstream from the flow-indicator bubblers, is not needed as there is no recovery system. 1357430 16131 http://cds.cern.ch/record/2287507/files/figures_march9_blockage_2.png 00020 Response of the gas system to a simulated exhaust blockage (indicated by an arrow). (a) Bypass solenoid valve system response to a blockage event. Solenoid valves are normally closed, so their temperatures increase when they stay open. (b) High Voltage and MFC response to a blockage event. Note that after the blockage event, the gas flowing in the system is pure \co{}.Caption not extracted 1357431 36607 http://cds.cern.ch/record/2287507/files/figures_march9_blockage_1.png 00019 None 1357432 1052756 http://cds.cern.ch/record/2287507/files/figures_GasSystemCalc1D.png 00003 Cooling efficiency (\( \frac{T_{\textsc{\tiny Out}}-T_{\textsc{\tiny In}}}{T_{\textsc{\tiny Wall}}-T_{\textsc{\tiny In}}}\)) for a single pipe. (a) Cooling efficiency as a function of the volume flow rate and pipe length assuming a 50\%:50\% mixture of \np{} and \co{}. (b) Cooling efficiency assuming a 30~cm pipe length (as is used in the apparatus) for the limiting cases of pure \np{} and pure \co{}, as well as a 50\%:50\% mixture.Caption not extracted 1357433 11674 http://cds.cern.ch/record/2287507/files/figures_Diff_Standard_Start_FINAL.png 00014 None 1357434 15136 http://cds.cern.ch/record/2287507/files/figures_Standard_Start_FINAL.png 00013 None 1357435 15310 http://cds.cern.ch/record/2287507/files/figures_Sensor_MFC_iTrans1_iTrans2.png 00018 Tests of the explosive gas sensors with various MFC flow rates. The negative exhaust pressure is blocked 4 times, which creates peaks in the explosive gas sensor readout located in the exhaust box (red points), and gets released shortly after. The explosive gas sensor located in the gas rack (green points) does not react. Trials are carried out at different flow rates (blue points). As expected, the time for the concentration to build up is linearly correlated to the gas flow rate. 1372436 1038395 http://cds.cern.ch/record/2287507/files/10.1088_1748-0221_12_04_P04027.pdf Fulltext 13 ARTICLE 2287478 20240223165115.0 DOI JACoW 10.18429/JACoW-ICALEPCS2017-THMPA05 oai:cds.cern.ch:2287478 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN Inspire 1656346 ATL-FWD-PROC-2017-003 eng ATL-COM-FWD-2017-013 AUTHOR|(INSPIRE)INSPIRE-00514541 AUTHOR|(SzGeCERN)704260 Oleiro Seabra, Luis Filipe lseabra@lip.pt LIP, Lisbon The ATLAS collaboration The AFP detector control system 2018-01 Geneva CERN 06 Oct 2017 5 p The ATLAS Forward Proton (AFP) detector is one of the forward detectors of the ATLAS experiment at CERN aiming at measuring momenta and angles of diffractively scattered protons. Silicon Tracking and Time-of-Flight detectors are located inside Roman Pot stations inserted into beam pipe aperture. The AFP detector is composed of two stations on each side of the ATLAS interaction point and is under commissioning. The detector is provided with high and low voltage distribution systems. Each station has vacuum and cooling systems, movement control and all the required electronics for signal processing. Monitoring of environmental parameters, like temperature and radiation, is also available. The Detector Control System (DCS) provides control and monitoring of the detector hardware and ensures the safe and reliable operation of the detector, assuring good data quality. Comparing with DCS systems of other detectors, the AFP DCS main challenge is to cope with the large variety of AFP equipment. This paper describes the AFP DCS system: a detector overview, the operational aspects, the hardware control of the AFP detectors, the high precision movement, cooling, and safety vacuum systems. JACoW CC-BY-3.0 http://creativecommons.org/licenses/by/3.0/ PROC CERN CDS-Invenio WebSubmit SzGeCERN Particle Physics - Experiment SzGeCERN FWD CERN INTNOTE PRIVATLAS INTNOTEATLASPUBL CERN LHC ATLAS Banaś, Elzbieta Cracow, INP Caforio, Davide IEAP CTU, Prague Czekierda, Sabina Cracow, INP Hajduk, Zbigniew Cracow, INP Olszowska, Jolanta Cracow, INP Sicho, Petr ASCR, Prague Zabinski, Bartlomiej Cracow, INP PH-EP ATLAS Collaboration THMPA05 ICALEPCS2017 C17-10-08 2018 http://cds.cern.ch/record/2285669 Original Communication (restricted to ATLAS) https://accelconf.web.cern.ch/icalepcs2017/papers/thmpa05.pdf Fulltext from JACoW server 1357390 899157 http://cds.cern.ch/record/2287478/files/ATL-FWD-PROC-2017-003.pdf Stamped by WebSubmit: 06/10/2017 luis.seabra@cern.ch n 201770 13 2288115 THMPA05 barcelona20171008 PUBLIC 000757079CER INTNOTEATLASPUBL ARTICLE ConferencePaper 2287422 SzGeCERN 20210423003555.0 ISO-FDIS-14042 2242688CERCER fre 13.020.10 13.020.60 International Organization for Standardization. Geneva Management environnemental : analyse du cycle de vie : évaluation de l'impact du cycle de vie Geneva ISO 2000 24 p SzGeCERN Engineering CERN standards, environmental management systems STANDARD English version 488412 Language 1357309 294878 http://cds.cern.ch/record/2287422/files/14042F.PDF h 201740 21 https://catalogue.library.cern/legacy/2287422 BOOK STANDARD MIGRATED 2287406 SzGeCERN 20210423003556.0 ISO-14012 2242679CERCER fre 03.100.30 13.020 International Organization for Standardization. Geneva Lignes directrices pour l'audit environnemental : critères de qualification pour les auditeurs environnementaux Geneva ISO 1996 11 p SzGeCERN Engineering CERN standards, environmental management systems STANDARD English version 488403 Language 1357294 1293591 http://cds.cern.ch/record/2287406/files/14012F.PDF h 201740 21 https://catalogue.library.cern/legacy/2287406 BOOK STANDARD MIGRATED 2287403 SzGeCERN 20210423003556.0 ISO-14041 2242687CERCER fre 13.020 International Organization for Standardization. Geneva Management environnemental : analyse du cycle de vie : définition de l’objectif et du champ d’étude et analyse de l’inventaire Geneva ISO 1998 28 p SzGeCERN Engineering CERN standards, environmental management systems STANDARD English version 488411 Language 1357291 196481 http://cds.cern.ch/record/2287403/files/14041F.PDF h 201740 21 https://catalogue.library.cern/legacy/2287403 BOOK STANDARD MIGRATED 2287376 SzGeCERN 20210423003558.0 ISO-14011 2242678CERCER fre 13.020 International Organization for Standardization. Geneva Lignes directrices pour l'audit environnemental : procédures d'audit : audit des systèmes de management environnemental Geneva ISO 1996 14 p SzGeCERN Engineering CERN standards, environmental management systems STANDARD English version 488402 Language 1357248 1777394 http://cds.cern.ch/record/2287376/files/14011F.PDF h 201740 21 https://catalogue.library.cern/legacy/2287376 BOOK STANDARD MIGRATED 2294378 SzGeCERN 20210421210032.0 9781119410140 9781119410164 1119410169 oai:cds.cern.ch:2294378 cerncds:BOOK SAFARI 9781119410140 eng 539.1.074 Nakhostin, Mohammad Signal processing for radiation detectors Hoboken, NJ Wiley 2018 514 p paper ebook "Title Page " -- "Copyright Page " -- "Contents" -- "Preface" -- "Acknowledgement " -- "Chapter 1 Signal Generation in Radiation Detectors " -- "1.1 Detector Types" -- "1.2 Signal Induction Mechanism" -- "1.2.1 Principles" -- "1.2.2 The Shockley–Ramo Theorem" -- "1.2.3 Detector as a Signal Generator" -- "1.3 Pulses from Ionization Detectors" -- "1.3.1 Gaseous Detectors" -- "1.3.1.1 Parallel-Plate Ionization Chamber" -- "1.3.1.2 Gridded Ionization Chamber" -- "1.3.1.3 Parallel-Plate Avalanche Counter" -- "1.3.1.4 Cylindrical Proportional Counter" -- "1.3.1.5 Multiwire Proportional Counter" -- "1.3.1.6 Micropattern Gaseous Detectors" -- "1.3.1.7 Geiger Counters" -- "1.3.2 Semiconductor Detectors" -- "1.3.2.1 Germanium Detectors" -- "1.3.2.1.1 Planar Germanium Detectors" -- "1.3.2.1.2 True Coaxial and Closed-End Coaxial Geometries" -- "1.3.2.1.3 Segmented Germanium Detectors" -- "1.3.2.2 Silicon Detectors" -- "1.3.2.3 Compound Semiconductor Detectors" -- "1.3.2.3.1 Planar Geometry" -- "1.3.2.3.2 Single-Polarity Charge Sensing" -- "1.3.2.3.3 Pixel and Strip Geometries" -- "1.4 Scintillation Detectors" -- "1.4.1 Principles" -- "1.4.2 Inorganic Scintillators" -- "1.4.3 Organic Scintillators" -- "1.4.4 The Time Evolution of Light Pulses" -- "1.4.5 Photomultiplier Tubes" -- "1.4.5.1 Principles" -- "1.4.5.2 Voltage Dividers and Gain Stabilization" -- "1.4.5.3 The PMT Equivalent Circuit and Output Waveforms" -- "1.4.6 Semiconductor Photodetectors" -- "1.4.6.1 Photodiodes" -- "1.4.6.2 Avalanche Photodiodes" -- "1.4.6.3 Silicon Photomultipliers (SiPMs)" -- "References" -- "Chapter 2 Signals, Systems, Noise, and Interferences " -- "2.1 Pulse Signals: Definitions" -- "2.2 Operational Amplifiers and Feedback" -- "2.3 Linear Signal Processing Systems" -- "2.3.1 Time Domain Analysis" -- "2.3.2 Frequency Domain Analysis" -- "2.3.3 Signal Filtration". "2.3.4 Cascaded Circuits" -- "2.4 Noise and Interference" -- "2.4.1 Noise" -- "2.4.1.1 General Definitions" -- "2.4.1.2 Power Spectral Density" -- "2.4.1.3 Parseval´s Theorem" -- "2.4.1.4 Autocorrelation Function" -- "2.4.1.5 Signal-to-Noise Ratio" -- "2.4.1.6 Filtered Noise" -- "2.4.1.7 Types of Noise" -- "2.4.1.7.1 Thermal Noise" -- "2.4.1.7.2 Shot Noise" -- "2.4.1.7.3 Flicker Noise" -- "2.4.1.7.4 Dielectric Noise" -- "2.4.1.8 Amplifier Noise" -- "2.4.1.9 Noise in Cascaded Circuits" -- "2.4.1.10 The Effect of Feedback" -- "2.4.2 Interferences" -- "2.4.2.1 Electromagnetic Interferences and Shielding" -- "2.4.2.2 Ground-Related Interferences" -- "2.4.2.3 Vibrations" -- "2.5 Signal Transmission" -- "2.5.1 Coaxial Cables" -- "2.5.2 Pulse Reflections" -- "2.5.3 Pulse Splitting" -- "2.6 Logic Circuits" -- "2.6.1 Types of Logic Pulses" -- "2.6.2 Basic Logic Operations" -- "2.6.3 Flip-Flops" -- "References" -- "Chapter 3 Preamplifiers " -- "3.1 Background" -- "3.2 Charge-Sensitive Preamplifiers" -- "3.2.1 Principles" -- "3.2.2 Preamplifier Input Device" -- "3.2.3 Time Response of Charge-Sensitive Preamplifiers" -- "3.2.4 Resistive Feedback Preamplifiers" -- "3.2.5 Other Methods of Preamplifier Reset" -- "3.2.5.1 Optical Methods" -- "3.2.5.2 Transistor Reset Method" -- "3.2.5.3 Drain Feedback Methods" -- "3.2.5.4 The Pentafet" -- "3.2.6 Other Aspects of Charge-Sensitive Preamplifiers" -- "3.2.6.1 Gain Stage" -- "3.2.6.2 The Detector–Preamplifier Coupling" -- "3.2.6.3 Preamplifier Saturation" -- "3.2.6.4 Test Input and Protection Circuits" -- "3.2.6.5 Preamplifier Realization" -- "3.3 Current-Sensitive Preamplifiers" -- "3.4 Voltage-Sensitive Preamplifiers" -- "3.5 Noise in Preamplifier Systems" -- "3.5.1 Noise Sources in a Detector–Preamplifier System" -- "3.5.1.1 Series White Noise" -- "3.5.1.2 Series 1/f Noise" -- "3.5.1.3 Parallel White Noise". "3.5.1.4 Induced Gate Current Noise" -- "3.5.1.5 Dielectric Noise" -- "3.5.1.6 Noise Comparison of Different Transistors" -- "3.5.2 Output Noise of Charge-Sensitive Configuration" -- "3.5.3 Output Noise of Current-Sensitive Configuration" -- "3.5.4 Output Noise of Voltage-Sensitive Configuration" -- "3.5.5 Optimization of Detector–Preamplifier System" -- "3.6 ASIC Preamplifiers" -- "3.6.1 Introduction" -- "3.6.2 Input Stage Optimization" -- "3.6.3 ASIC Preamplifier's Rest" -- "3.7 Preamplifiers for Scintillation Detectors" -- "3.7.1 Preamplifiers for Photomultipliers" -- "3.7.2 Preamplifiers for Photodiodes" -- "3.7.3 Readout of SiPMs" -- "3.8 Detector Bias Supplies" -- "References" -- "Chapter 4 Energy Measurement " -- "4.1 Generals" -- "4.2 Amplitude Fluctuations" -- "4.2.1 Fluctuations Intrinsic to Pulse Formation Mechanisms" -- "4.2.1.1 Ionization Detectors" -- "4.2.1.2 Scintillation Detectors" -- "4.2.2 Fluctuations Due to Imperfections in Pulse Processing" -- "4.2.2.1 Ballistic Deficit" -- "4.2.2.2 Pulse Pileup" -- "4.2.2.3 Baseline Fluctuations" -- "4.2.2.4 Drift, Aging, and Radiation Damage" -- "4.3 Amplifier/Shaper" -- "4.3.1 Introductory Considerations" -- "4.3.2 Matched Filter Concept" -- "4.3.3 Optimum Noise Filter in the Absence of 1/f Noise" -- "4.3.4 Optimal Filters in the Presence of 1/f Noise" -- "4.3.5 Practical Pulse Shapers" -- "4.3.5.1 CR–RC Shaper" -- "4.3.5.2 CR-(RC)n Shaping" -- "4.3.5.3 Gaussian Shapers with Complex Conjugate Poles" -- "4.3.5.4 Bipolar Shapers" -- "4.3.5.5 Delay-Line Pulse Shaping" -- "4.3.5.6 Triangular and Trapezoidal Shaping" -- "4.3.5.7 Time-Variant Shapers, Gated Integrator" -- "4.3.6 Noise Analysis of Pulse Shapers" -- "4.3.6.1 ENC Calculations" -- "4.3.6.2 ENC Analysis of a Spectroscopy System" -- "4.3.6.3 ENC Measurement" -- "4.3.6.4 Noise Analysis in Time Domain" -- "4.3.7 Pole-Zero Cancellation". "4.3.8 Baseline Restoration" -- "4.3.9 Pileup Rejector" -- "4.3.10 Ballistic Deficit Correction" -- "4.4 Pulse Amplitude Analysis" -- "4.4.1 Pulse-Height Discriminators" -- "4.4.2 Linear Gates" -- "4.4.3 Peak Stretcher" -- "4.4.4 Peak-Sensing ADCs" -- "4.4.4.1 Wilkinson-Type ADC" -- "4.4.4.2 The Successive-Approximation ADC" -- "4.4.4.3 The Flash ADC" -- "4.4.5 Multichannel Pulse-Height Analyzer" -- "4.4.6 Multiparameter Data Acquisition Systems" -- "4.5 Dead Time" -- "4.5.1 Dead-Time Models" -- "4.5.2 Dead Time in Spectroscopy Systems" -- "4.5.3 High Rate Systems" -- "4.6 ASIC Pulse Processing Systems" -- "4.6.1 General Considerations" -- "4.6.2 Pole-Zero Cancellation" -- "4.6.3 Pulse Shaper Block" -- "4.6.4 Peak Stretcher Block" -- "4.6.5 ADCs and Time-Over-Threshold (ToT) Method" -- "References" -- "Chapter 5 Pulse Counting and Current Measurements " -- "5.1 Background" -- "5.2 Pulse Counting Systems" -- "5.2.1 Basics" -- "5.2.2 Ratemeters" -- "5.2.2.1 Basic Circuits" -- "5.2.2.2 Digital Ratemeters" -- "5.2.2.3 Accuracy and Time Response of Ratemeters" -- "5.2.3 Counters and Timers" -- "5.2.4 Pulse Counting with GM Counters" -- "5.2.4.1 GM Counter Circuits" -- "5.2.4.2 Active Reset Circuits" -- "5.3 Current Mode Operation" -- "5.3.1 Introductory Considerations" -- "5.3.2 Electrometer Circuits" -- "5.3.2.1 The Current Method" -- "5.3.2.2 The Charge Method" -- "5.3.2.3 Digital Electrometers" -- "5.3.2.4 The Townsend Balance Method" -- "5.3.3 Limits of Current Measurement" -- "5.3.4 Current-to-Frequency Converter" -- "5.3.5 Logarithmic Current Measurement" -- "5.4 ASIC Systems for Radiation Intensity Measurement" -- "5.4.1 Integrating Mode" -- "5.4.2 Pulse Counting Mode" -- "5.5 Campbell´s Mode Operation" -- "5.5.1 Basic Circuits" -- "5.5.2 Neutron–Gamma Discrimination" -- "5.5.3 Combination of Detector Operation Modes in Reactor Applications". "References" -- "Chapter 6 Timing Measurements " -- "6.1 Introduction" -- "6.2 Time Pick-Off Techniques" -- "6.2.1 Leading-Edge Discriminator" -- "6.2.1.1 Principles" -- "6.2.1.2 Leading-Edge Discriminator Errors" -- "6.2.1.3 Optimum Timing Filter" -- "6.2.1.4 Extrapolated Leading-Edge Timing (ELET)" -- "6.2.2 Constant-Fraction Discriminator" -- "6.2.2.1 Principles" -- "6.2.2.2 CFD Timing Errors" -- "6.2.2.3 Amplitude and Risetime Compensated (ARC) Timing" -- "6.2.2.4 Practical CFD Circuits" -- "6.2.2.5 Monolithic Time Discriminator Circuits" -- "6.2.3 Timing Filter Amplifiers" -- "6.2.4 Timing Single-Channel Analyzers" -- "6.3 Time Interval Measuring Devices" -- "6.3.1 Time-to-Amplitude Converters (TACs)" -- "6.3.2 Time-to-Digital Converter (TDC)" -- "6.3.3 Coincidence Units" -- "6.3.4 Multichannel Scaler" -- "6.3.5 Delay Elements and Signal Transmission" -- "6.3.6 Non-detector Trigger Signals" -- "6.4 Timing Performance of Different Detectors" -- "6.4.1 Timing with Scintillator Detectors" -- "6.4.1.1 Scintillators Coupled to PMTs" -- "6.4.1.2 Effect of Pulse Processing System" -- "6.4.1.3 Fast–Slow Measurements" -- "6.4.1.4 Scintillators Coupled to Photodiodes and Avalanche Photodiodes" -- "6.4.1.5 Scintillators Coupled to SiPM" -- "6.4.2 Timing with Semiconductor Detectors" -- "6.4.2.1 Timing with Germanium Detectors" -- "6.4.2.2 Timing with Silicon and Diamond Detectors" -- "6.4.2.3 Timing with Compound Semiconductor Detectors" -- "6.4.3 Timing with Gaseous Detectors" -- "References" -- "Chapter 7 Position Sensing " -- "7.1 Position Readout Concepts" -- "7.1.1 Basic Definitions" -- "7.1.2 Position Signals in Ionization and Scintillator Detectors" -- "7.2 Individual Readout" -- "7.2.1 Signal Readout from Pixel and Strip Semiconductor Detectors" -- "7.2.2 Detector and Noise Model" -- "7.2.3 Cross Talk" -- "7.2.4 Spatial Resolution". "7.2.5 Individual Readout from Scintillators". This book provides a clear understanding of the principles of signal processing of radiation detectors. It puts great emphasis on the characteristics of pulses from various types of detectors and offers a full overview on the basic concepts required to understand detector signal processing systems and pulse processing techniques. Signal Processing for Radiation Detectors covers all of the important aspects of signal processing, including energy spectroscopy, timing measurements, position-sensing, pulse-shape discrimination, and radiation intensity measurement. The book encompasses a wide range of applications so that readers from different disciplines can benefit from all of the information. In addition, this resource: * Describes both analog and digital techniques of signal processing * Presents a complete compilation of digital pulse processing algorithms * Extrapolates content from more than 700 references covering classic papers as well as those of today * Demonstrates concepts with more than 340 original illustrations Signal Processing for Radiation Detectors provides researchers, engineers, and graduate students working in disciplines such as nuclear physics and engineering, environmental and biomedical engineering, and medical physics and radiological science, the knowledge to design their own systems, optimize available systems or to set up new experiments. SAF201805 EBLlink deleted SzGeCERN Detectors and Experimental Techniques BOOK CERN Central Library 539.1.074 NAK https://learning.oreilly.com/library/view/-/9781119410140/?ar ebook 201712 h 201747 21 https://catalogue.library.cern/legacy/2294378 BOOK MIGRATED 2294133 SzGeCERN 20210421210034.0 9789332581951 9789352861811 9352861817 oai:cds.cern.ch:2294133 cerncds:BOOK SAFARI on1007702266 OCoLC 1007702266 eng TC405 Varandani, N S Environmental engineering principles and practices Uttar Pradesh Pearson India Education Services 2017 mult. p ebook SAF201711 SzGeCERN Engineering SAF Water-supply engineering SAF Environmental engineering BOOK https://learning.oreilly.com/library/view/-/9789352861811/?ar ebook n 201747 21 PUBLIC https://catalogue.library.cern/legacy/2294133 BOOK MIGRATED 2293758 SzGeCERN 20210421210121.0 9783319662206 print version 9783319662213 electronic version electronic version DOI 10.1007/978-3-319-66221-3 ebook oai:cds.cern.ch:2293758 cerncds:BOOK eng Quirk, Thomas J Excel 2016 for social work statistics a guide to solving practical problems 1st ed. Cham Springer 2017 ebook Excel for statistics Sample size, mean, standard deviation, standard error of the mean -- Random number generator -- Confidence interval about the mean using the TINV function and hypothesis testing -- One-group t-test for the mean -- Two-group t-test of the difference of the means for independent groups -- Correlation and simple linear regression -- Multiple correlation and multiple regression -- One-way analysis of variance (ANOVA) -- Appendix A: Answers to End-of-Chapter Practice Problems -- Appendix B: Practice Test -- Appendix C: Answers to Practice Test -- Appendix D: Statistical Formulas -- Appendix E: t-table. This text is a step-by-step guide for students taking a first course in statistics for social work and for social work managers and practitioners who want to learn how to use Excel to solve practical statistics problems in in the workplace, whether or not they have taken a course in statistics. There is no other text for a first course in social work statistics that teaches students, step-by-step, how to use Excel to solve interesting social work statistics problems. Excel 2016 for Social Work Statistics explains statistical formulas and offers practical examples for how students can solve real-world social work statistics problems. This book leaves detailed explanations of statistical theory to other statistics textbooks and focuses entirely on practical, real-world problem solving. Each chapter briefly explains a topic and then demonstrates how to use Excel commands and formulas to solve specific social work statistics problems.  This book gives practice in using Excel in two different ways:  (1) writing formulas (e.g., confidence interval about the mean, one-group t-test, two-group t-test, correlation) and (2) using Excel’s drop-down formula menus so as not to have to write formulas (e.g., simple linear regression, multiple correlation and multiple regression, and one-way ANOVA).  Three practice problems are provided at the end of each chapter, along with their solutions in an Appendix.  An additional Practice Test allows readers to test their understanding of each chapter by attempting to solve a specific practical social work statistics problem using Excel; the solution to each of these problems is also given in an Appendix.  Presents key steps and examples to solve practical, easy-to-understand social work problems using Excel Contains 163 illustrations in color Suitable for undergraduate and graduate students No background in statistics is required Guides students through not only statistical formulas but also the processes and reasoning that support statistical theory Focuses exclusively on building a critical foundation for students and practitioners Explains statistical theory and formulas in clear language without bogging the reader down in mathematical fine points Features five appendices with tests, answers and statistical formulas Includes specific objectives for concepts in each chapter, as well as practice problems with answers Saves instructors valuable class time by allowing students to learn how to use Excel to solve practical social work problems outside of class time Tom Quirk is Professor of Marketing in the Walker School of Business and Technology at Webster University in St. Louis, Missouri, where he teaches Marketing Statistics, Marketing Research, and Pricing Strategies. He holds both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, a B.S. in Mathematics from John Carroll University, and an M.B.A. from the University of Missouri-St. Louis.  He researched full-time for six years at the American Institutes for Research in Palo, Alto, California, and the Educational Testing Service in Princeton, New Jersey.  This book is Professor Quirk’s 33rd statistics book with Springer, covering twelve subject areas (business, education, psychology, social science, biological and life sciences, physical sciences, engineering, human resources, health services management, environmental sciences, and marketing) using four versions of Excel (2007, 2010, 2013, 2016).  Simone Cummings is Dean of the Walker School of Business and Technology at Webster University in St. Louis, Missouri, and formerly Associate Professor of Health Care Management and Associate Dean of Academic Quality Assurance there, where she taught Healthcare Statistics, Healthcare Finance, and Introduction to Healthcare Services.  She holds both a B.S.B.A. and an M.H.A from Washington University in St. Louis and a Ph.D. in Health Management and Policy from the University of North Carolina at Chapel Hill.  Professor Cummings has served on the Board of the Association of University Programs in Health Administration and currently serves as a Fellow for the Commission on Accreditation of Healthcare Management Education.  She has experience consulting and has also conducted clinical and health services research for more than ten years. Mathematics and statistics SPR201711 SzGeCERN Mathematical Physics and Mathematics SPR Social work SPR Social Work BOOK Cummings, Simone 2nd ed. 2021 2763337 edition 201711 SPR n 201746 21 PUBLIC https://catalogue.library.cern/legacy/2293758 BOOK MIGRATED 2293729 SzGeCERN 20210421210127.0 9783319652764 print version 9783319652771 electronic version electronic version DOI 10.1007/978-3-319-65277-1 ebook oai:cds.cern.ch:2293729 cerncds:BOOK eng TA1671-1707 TA1501-1820 621.36 23 Raman fiber lasers Cham Springer 2017 ebook Springer series in optical sciences 0342-4111 207 Preface -- 1 High Power Raman Fiber Lasers -- 2 Cascaded Raman Fiber Lasers -- 3 Mid-Infrared Raman Fiber Lasers -- 4 Infrared Super-Continuum Light Sources and their Applications -- 5 Specialty Raman Fibers -- 6 Distributed Feedback Raman and Brillouin Fiber Lasers.- 7 Random Distributed Feedback Raman Fiber Lasers -- Index. This book serves as a comprehensive, up-to-date reference about this cutting-edge laser technology and its many new and interesting developments. Various aspects and trends of Raman fiber lasers are described in detail by experts in their fields. Raman fiber lasers have progressed quickly in the past decade, and have emerged as a versatile laser technology for generating high power light sources covering a spectral range from visible to mid-infrared. The technology is already being applied in the fields of telecommunication, astronomy, cold atom physics, laser spectroscopy, environmental sensing, and laser medicine. This book covers various topics relating to Raman fiber laser research, including power scaling, cladding and diode pumping, cascade Raman shifting, single frequency operation and power amplification, mid-infrared laser generation, specialty optical fibers, and random distributed feedback Raman fiber lasers. The book will appeal to scientists, students, and technicians seeking to understand the recent developments and future trends of this promising and multifaceted technology. Physics and astronomy SPR201711 SzGeCERN Other Fields of Physics SPR Spectroscopy SPR Microscopy SPR Spectroscopy and Microscopy BOOK Feng, Yan ed. SPR n 201746 201711 21 PUBLIC https://catalogue.library.cern/legacy/2293729 BOOK MIGRATED 2293706 SzGeCERN 20210421210132.0 9783319631141 print version 9783319631158 electronic version electronic version DOI 10.1007/978-3-319-63115-8 ebook oai:cds.cern.ch:2293706 cerncds:BOOK eng QA273.A1-274.9 QA274-274.9 519.2 23 Chassagneux, Jean-François A forward-backward SDEs approach to pricing in carbon markets Cham Springer 2017 ebook Mathematics of planet Earth 1 A description of the carbon markets and their role in climate change mitigation.- 2 Introduction to Forward-Backward Stochastic Differential Equations -- 3 A mathematical model for carbon emissions markets --   4 Numerical approximation of FBSDEs.- 5 A case study of the UK energy market -- References.  . In Mathematical Finance, the authors consider a mathematical model for the pricing of emissions permits. The model has particular applicability to the European Union Emissions Trading System (EU ETS) but could also be used to consider the modeling of other cap-and-trade schemes. As a response to the risk of Climate Change, carbon markets are currently being implemented in regions worldwide and already represent more than $30 billion. However, scientific, and particularly mathematical, studies of these carbon markets are needed in order to expose their advantages and shortcomings, as well as allow their most efficient implementation. This Brief reviews mathematical properties such as the existence and uniqueness of solutions for the pricing problem, stability of solutions and their behavior. These fit into the theory of fully coupled forward-backward stochastic differential equations (FBSDEs) with irregular coefficients. The authors present a numerical algorithm to compute the solution to these non-standard FBSDEs. They also carry out a case study of the UK energy market. This involves estimating the parameters to be used in the model using historical data and then solving a pricing problem using the aforementioned numerical algorithm. The Brief is of interest to researchers in stochastic processes and their applications, and environmental and energy economics. Most sections are also accessible to practitioners in the energy sector and climate change policy-makers. Mathematics and statistics SPR201711 SzGeCERN Mathematical Physics and Mathematics SPR Energy policy SPR Energy and state SPR Energy industries SPR Energy Economics SPR Energy Policy, Economics and Management BOOK Chotai, Hinesh Muûls, Mirabelle SPR n 201746 201711 21 PUBLIC https://catalogue.library.cern/legacy/2293706 BOOK MIGRATED 2293240 SzGeCERN 20191015172001.0 DOI IOP 10.1088/1757-899X/171/1/012036 oai:inspirehep.net:1625036 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1625036 2017-11-17T12:51:06Z 2017-11-18T05:00:08Z marcxml Inspire 1625036 eng Nakai, H hirotaka.nakai@kek.jp KEK, Tsukuba IOP Cryogenic system configuration for the International Linear Collider (ILC) at mountainous site 2017 IOP The International Linear Collider (ILC) plans to make use of ten cryoplants for its main linacs, each providing 19 kW at 4.5 K equivalent and among of it 3.6 kW at 2 K. Each cryoplant will consist of various cryogenic components such as a 4.5 K refrigerator cold box, a 2 K refrigerator cold box, and helium compressors and so on. In the technical design report (TDR) of the ILC, due to the mountainous topology, almost all cryogenic components would be installed in underground cryogenic caverns next to the main linac tunnels and only cooling towers on surface area. However, we would like to find a more effective and sophisticated configuration of the cryoplant components (cryogenic configuration). Under several constraints of technical, geographical, and environmental points of view, the cryogenic configuration should be considered carefully to satisfy such various conditions. After discussions on this topic conducted at various workshops and conferences, an updated cryogenic configuration is suggested. The proposed updated configuration may affect the total construction cost of the ILC and the entire structure of the ILC conventional facilities. The updated cryogenic configuration is presented and the on-going discussions with the conventional facilities and siting (CFS) colleagues for further improvement of the cryogenic configuration is introduced. IOP CC-BY-3.0 http://creativecommons.org/licenses/by/3.0 publication SzGeCERN Accelerators and Storage Rings CERN Okamura, T KEK, Tsukuba Delikaris, D CERN Peterson, T Fermilab Yamamoto, A KEK, Tsukuba 012036 1 IOP Conf. Ser. Mater. Sci. Eng. 171 C16-03-07.3 2017 1368560 5805532 http://cds.cern.ch/record/2293240/files/pdf.pdf Fulltext 13 2114599 012036 newdelhi20160307 ARTICLE ConferencePaper refextract CURATOR The International Linear Collider Technical Design Report, 1 www.linearcollider.org/ILC/Publications/Technical-Design-Report 2013 refextract Hosoyama K International Workshop on Linear Colliders(Geneva, Switzerland) Cryogenic cavern in Asian site : 2 http://agenda.linearcollider.org/event/4507/other-view?view=standard 2010 2292587 SzGeCERN 20210421210139.0 0199592357 print version, hardback 9780191847967 electronic version electronic version 9780199592357 print version, hardback oai:cds.cern.ch:2292587 cerncds:BOOK ASIN 0199592357 DOI 10.1093/oso/9780199592357.001.0001 ebook eng 536.9 Succi, Sauro The lattice Boltzmann equation for complex states of flowing matter Oxford Oxford University Press 2018 25 Mar 2018 761 p paper ebook Product Description Flowing matter is all around us, from daily-life vital processes (breathing, blood circulation), to industrial, environmental, biological, and medical sciences. Complex states of flowing matter are equally present in fundamental physical processes, far remote from our direct senses, such as quantum-relativistic matter under ultra-high temperature conditions (quark-gluon plasmas). Capturing the complexities of such states of matter stands as one of the most prominent challenges of modern science, with multiple ramifications to physics, biology, mathematics, and computer science. As a result, mathematical and computational techniques capable of providing a quantitative account of the way that such complex states of flowing matter behave in space and time are becoming increasingly important. This book provides a unique description of a major technique, the Lattice Boltzmann method to accomplish this task.The Lattice Boltzmann method has gained a prominent role as an efficient computational tool for the numerical simulation of a wide variety of complex states of flowing matter across a broad range of scales; from fully-developed turbulence, to multiphase micro-flows, all the way down to nano-biofluidics and lately, even quantum-relativistic sub-nuclear fluids. After providing a self-contained introduction to the kinetic theory of fluids and a thorough account of its transcription to the lattice framework, this text provides a survey of the major developments which have led to the impressive growth of the Lattice Boltzmann across most walks of fluid dynamics and its interfaces with allied disciplines.Included are recent developments of Lattice Boltzmann methods for non-ideal fluids, micro- and nanofluidic flows with suspended bodies of assorted nature and extensions to strong non-equilibrium flows beyond the realm of continuum fluid mechanics. In the final part, it presents the extension of the Lattice Boltzmann method to quantum and relativistic matter, in an attempt to match the major surge of interest spurred by recent developments in the area of strongly interacting holographic fluids, such as electron flows in graphene. $104.56 AMZ201711 OSO201807 SzGeCERN Mathematical Physics and Mathematics BOOK CERN Central Library 536.9 SUC 201804 OSO n 201745 21 https://catalogue.library.cern/legacy/2292587 BOOK MIGRATED 2292418 SzGeCERN 20171214170434.0 DOI IEEE 10.1109/RTC.2016.7543097 oai:inspirehep.net:1592055 cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1592055 2017-11-09T13:39:36Z 2017-11-10T05:00:07Z marcxml Inspire 1592055 eng Rohr, David INSPIRE-00248142 Frankfurt U., FIAS IEEE Fast online reconstruction and online calibration in the ALICE High Level Trigger 2016 3 p IEEE ALICE (A Large Heavy Ion Experiment) is one of four major experiments at the Large Hadron Collider (LHC) at CERN. The ALICE High Level Trigger (HLT) is a cluster of 200 nodes, which reconstructs collisions as recorded by the ALICE detector in real-time. It employs a custom online data-transport framework to distribute data and workload among the compute nodes. ALICE employs subdetectors sensitive to environmental conditions such as pressure and temperature, e.g. the Time Projection Chamber (TPC). A precise reconstruction of particle trajectories requires the calibration of these detectors. Performing the calibration in real time in the HLT improves the online reconstructions and renders certain offline calibration steps obsolete speeding up offline physics analysis. For LHC Run 3, starting in 2020 when data reduction will rely on reconstructed data, online calibration becomes a necessity. Reconstructed particle trajectories build the basis for the calibration making a fast online-tracking mandatory. The main detectors used for this purpose are the TPC and ITS. Reconstructing the trajectories in the TPC is the most compute-intense step. We present several components of the ALICE High Level Trigger used for fast event reconstruction and then focus on newly developed components for online calibration. The TPC tracker employs GPUs to speed up the processing and is based on a Cellular Automaton and the Kalman filter. It has been used successfully in proton-proton, lead-lead, and proton-lead runs between 2011 and 2015. We have implemented a wrapper to run ALICE offline analysis and calibration software inside the HLT. Normally, the HLT works in an event-synchronous mode. We have added asynchronous processing capabilities to support long-running calibration tasks. In order to improve the resiliency, an isolated process performs the asynchronous operations such that even a fatal error does not disturb data taking. We have complemented the original loop-free HLT chain with ZeroMQ data-transfer components. The ZeroMQ components facilitate a feedback loop, that after a short delay inserts the calibration result created at the end of the chain back into tracking components at the beginning of the chain. On top of that, these components are used to ship QA histograms to the Data Quality Monitoring (DQM) and to obtain information of pressure and temperature sensors needed for calibration. All these new features are implemented in a general way, such that they have use-cases aside from online calibration. In order to gather sufficient statistics for the calibration, the asynchronous calibration component must process enough events per time interval. Since the calibration is only valid for a certain time period, the delay until the feedback loop provides updated calibration data must not be too long. A first full-scale test of the online calibration functionality was performed during the 2015 heavy-ion run under real conditions. We present a timing analysis of this first online-calibration test, which indicates that the HLT is capable of online TPC drift time calibration fast enough to calibrate the tracking via the feedback loop. SzGeCERN Detectors and Experimental Techniques author Calibration author Large Hadron Collider author Detectors author Feedback loop author Real-time systems author Temperature sensors author Lead author time projection chambers author calibration author data reduction author Kalman filters author pressure sensors author temperature sensors author pressure sensor author fast online reconstruction author online calibration author ALICE high level trigger author A Large Heavy Ion Experiment author CERN author ALICE detector author custom online data-transport framework author time projection chamber author LHC Run 3 author online-tracking mandatory author fast event reconstruction author TPC tracker author cellular automaton author Kalman filter author event-synchronous mode author asynchronous processing author asynchronous operations author original loop-free HLT chain author GPU author long-running calibration author isolated process author ZeroMQ data-transfer components author feedback loop author data quality monitoring author DQM author temperature sensor author Online Calibration author ALICE author HLT author LHC CERN CERN LHC ALICE Krzewicki, Mikolaj INSPIRE-00248715 Frankfurt U. Lindenstruth, Volker INSPIRE-00171460 Frankfurt U., FIAS C16-06-05.2 2016 13 2138847 padua20160605 ARTICLE ConferencePaper 796251 ALICE Collaboration K. Aamodt, et al. The ALICE experiment at the CERN LHC 1 JINST,3,S08002 2008 ALICE Collaboration C.W. Fabjan, L. Jirdn, V. Lindestruth, L. Riccati, D. Rorich, P. Van de Vyvre, O. Villalobos Baillie, H. de Groot ALICE trigger data-acquisition high-level trigger and control system, Technical Design Report ALICE (CERN, Geneva,) 2 2004 CURATOR D. Rohr, S. Gorbunov, M. Krzewicki, T. Breitner, M. Kretz, V. Lindenstruth 3 J.Phys.Conf.Ser.,664,082047 2015 946558 S. Gorbunov, D. Rohr, K. Aamodt, T. Alt, H. Appelsh, A. Arend, M. Bach, B. Becker, T. Breitner, S. Chattopadhyay et al. ALICE HLT High Speed Tracking on GPU 4 IEEE Trans.Nucl.Sci.,58,1845 2011 0-0-1-1-0-0-0 2017-05-18 13:55:20 Invenio/1.1.2.1260-aa76f refextract/1.5.44 2292281 SzGeCERN 20171214170355.0 DOI International Society for Optics and Photonics 10.1117/12.2256831 oai:inspirehep.net:1593698 cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d 2017-11-09T06:13:13Z marcxml oai:inspirehep.net:1593698 2017-11-08T12:55:45Z Inspire 1593698 eng Kunc, Š Liberec Tech. U. International Society for Optics and Photonics Passive optical resonator for OSQAR LSW experiment 2016 6 p International Society for Optics and Photonics This paper treats the issue of locking a solid state laser, pumped by high power diodes (Verdi V5), to a twenty meter long optical resonator for OSQAR LSW - light shining through the wall, dark matter search experiment. In this paper the optical design and a possible locking scheme are presented. The environmental conditions in SM18 testing hall at CERN, where OSQAR experiment is based, are discussed. The main focus is put on the vibration analysis, cavity transversal modes behaviour, possible clipping in the anticryostat of LHC – Large Hadron Collider magnet bore and locking loop parameters required for future experimental testing. The expected finesse of resonator will be presented and discussed in the sense of OSQAR LSW; its impact on possible new exclusion limits is discussed.© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only. SzGeCERN Detectors and Experimental Techniques author Optical resonators author Resonators author Solid state lasers author Vibrometry author Diodes author Optical design CERN CERN OSQAR Messineo, G Mainz U. Schott, M Mainz U. Šulc, M Liberec Tech. U. 1015104 C16-10-11 2016 Proc. SPIE 10151 13 2292126 liberec20161011 1015104 ARTICLE ConferencePaper 119084 Peccei, R. D.., Quinn, H. R. 1 Phys.Rev.Lett.,38,1440-1443 CP Conservation in the Presence of Pseudoparticles 1977 5997 Wilczek, F. 2 Phys.Rev.Lett.,40,279-282 Problem of Strong P and T Invariance in the Presence of Instantons 1978 122138 Weinberg, S. 3 Phys.Rev.Lett.,40,223-226 A New Light Boson? 1978 Ringwald, A. Phys. Dark 4 Universe,1,116-135 Exploring the role of axions and other WISPs in the dark universe 2012 629940 Bradley, R., Clarke, J., Kinion, D., Rosenberg, L. J., van Bibber, K., Matsuki, S., Mück, M.., Sikivie, P. 5 Rev.Mod.Phys.,75,777-817 Microwave cavity searches for dark-matter axions 2003 247256 Van Bibber, K., Dagdeviren, N. R., Koonin, S. E., Kerman, A. K.., Nelson, H. N. 6 Phys.Rev.Lett.,59,759-762 Proposed experiment to produce and detect light pseudoscalars 1987 > (30 September) 7 LHC Magnets. http://lhc-machine-outreach.web.cern.ch/lhc-machine-outreach/introduction.htm 2016 > (30 September) 8 HERA Magnets. https://alps.desy.de/e192458/ 2016 1379978 Ballou, R., Deferne, G., Finger, M., Finger, M., Flekova, L., Hosek, J., Kunc, S., Macuchova, K., Meissner, K. A., et al. 9 Phys.Rev.,D92,092002 New exclusion limits on scalar and pseudoscalar axionlike particles from light shining through a wall 2015 821316 Ehret, K., Frede, M., Ghazaryan, S., Hildebrandt, M., Knabbe, E.-A., Kracht, D., Lindner, A., List, J., Meier, T., et al. Nucl. Instrum. Methods Phys. Res. Sect. Accel. Spectrometers Detect. Assoc. Equip 10 Nucl.Instrum.Meth.,A612,83-96 Resonant laser power build-up in ALPS—A ‘light shining through a wall’ experiment 2009 851237 Ehret, K., Frede, M., Ghazaryan, S., Hildebrandt, M., Knabbe, E.-A., Kracht, D., Lindner, A., List, J., Meier, T., et al. 11 Phys.Lett.,B689,149-155 New ALPS results on hidden-sector lightweights 2010 1220776 Bähre, R., Döbrich, B., Dreyling-Eschweiler, J., Ghazaryan, S., Hodajerdi, R., Horns, D., Januschek, F., Knabbe, E.-A., Lindner, A., et al. 12 JINST,8,T09001-T09001 Any Light Particle Search II -- Technical Design Report 2013 Kogelnik, H.. Li, T 13 Appl.Opt.,5,1550 Laser Beams and Resonators 1966 Anderson, D. Z. 14 Appl.Opt.,23,2944 Alignment of resonant optical cavities 1984 (30 September) 15 iKon-M 934 Low-Noise CCD camera. http://www.andor.com/scientific-cameras/ikon-xl-and-ikon-large-ccd-series/ikon-m-934 2016 (30 September) 16 Coherent Inc. Verdi V Series DPSS Laser for Ti:Sapphire Pumping. http://www.coherent.com/products/?1852/Verdi-V-Series 2016 1468489 Bastidon, N., Horns, D.., Lindner, A. 17 J.Low.Temp.Phys.,184,88-90 Quantum Efficiency Characterization and Optimization of a Tungsten Transition-Edge Sensor for ALPS II 2015 1346841 Dreyling-Eschweiler, J., Bastidon, N., Döbrich, B., Horns, D., Januschek, F.., Lindner, A. 18 J.Mod.Opt.,62,1132-1140 Characterization, 1064 nm photon signals and background events of a tungsten TES detector for the ALPS experiment 2015 19 Wavelength Control and Locking with Sub-MHz Precision. https://www.coherent.com/downloads/Wavelength% 20 Shaddock, D. A., Gray, M. B.., McClelland, D. E. 20Control%20and%20Locking%20with%20Sub-MHz%20Precision.pdf (30 September 2016 ) Opt.Lett.,24,1499 Frequency locking a laser to an optical cavity by use of spatial mode interference 1999 Slagmolen, B. J. J., Shaddock, D. A., Gray, M. B.., McClelland, D. E. 21 IEEE J.Quant.Electron.,38,1521-1528 Frequency stability of spatial mode interference (tilt) locking 2002 1425603 Drever, R. W. P., Hall, J. L., Kowalski, F. V., Hough, J., Ford, G. M., Munley, A. J.., Ward, H. 22 Appl.Phys.,B31,97-105 Laser phase and frequency stabilization using an optical resonator 1425621 Morrison, E., Meers, B. J., Robertson, D. I.., Ward, H. 23 Appl.Opt.,33,5037 Experimental demonstration of an automatic alignment system for optical interferometers 1994 1328453 The LIGO Scientific Collaboration 24 Class.Quant.Grav.,32,074001 Advanced LIGO 2015 Beverini, N., Poli, N., Sutyrin, D., Wang, F.-Y., Schioppo, M., Tarallo, M. G.., Tino, G. M. presented at ICONO: International Conference on Coherent and Nonlinear Optics, 1 September, 79931I 25 Absolute frequency measurement of unstable lasers with optical frequency combs 2010 0-0-0-1-0-0-1 2017-05-19 13:08:53 Invenio/1.1.2.1260-aa76f refextract/1.5.44 2291515 20180227161016.0 oai:cds.cern.ch:2291515 cerncds:FULLTEXT ATL-FWD-SLIDE-2017-934 eng ATL-COM-FWD-2017-014 AUTHOR|(INSPIRE)INSPIRE-00514541 AUTHOR|(SzGeCERN)704260 Oleiro Seabra, Luis Filipe lseabra@lip.pt LIP The ATLAS collaboration The AFP Detector Control System 2017 Geneva CERN 03 Nov 2017 1 p The ATLAS Forward Proton (AFP) detector is one of the forward detectors of the ATLAS experiment at CERN aiming at measuring momenta and angles of diffractively scattered protons. Silicon Tracking and Time-of-Flight detectors are located inside Roman Pot stations inserted into beam pipe aperture. The AFP detector is composed of two stations on each side of the ATLAS interaction point and is under commissioning. The detector is provided with high and low voltage distribution systems. Each station has vacuum and cooling systems, movement control and all the required electronics for signal processing. Monitoring of environmental parameters, like temperature and radiation, is also available. The Detector Control System (DCS) provides control and monitoring of the detector hardware and ensures the safe and reliable operation of the detector, assuring good data quality. Comparing with DCS systems of other detectors, the AFP DCS main challenge is to cope with the large variety of AFP equipment. This paper describes the AFP DCS system: a detector overview, the operational aspects, the hardware control of the AFP detectors, the high precision movement, cooling, and safety vacuum systems. SLIDE CERN CDS-Invenio WebSubmit SzGeCERN Particle Physics - Experiment SzGeCERN FWD CERN INTNOTE PRIVATLAS PUBLATLASSLIDE CERN LHC ATLAS PH-EP ATLAS Collaboration http://cds.cern.ch/record/2285926 Original Communication (restricted to ATLAS) 1365057 1430321 http://cds.cern.ch/record/2291515/files/ATL-FWD-SLIDE-2017-934.pdf luis.seabra@cern.ch n 201770 91 2288115 barcelona20171008 PUBLIC 000757493CER PUBLATLASSLIDE Slides 2291169 SzGeCERN 20210423003532.0 ISO-14050 eng fre 01.040.13 13.020 International Organization for Standardization. Geneva Environmental management : vocabulary Management environnemental : vocabulaire 1998 Geneva ISO 1998 16 p SzGeCERN Engineering STANDARD 2006 1244607 edition 1364397 129564 http://cds.cern.ch/record/2291169/files/14050E.PDF h 201744 21 https://catalogue.library.cern/legacy/2291169 BOOK STANDARD MIGRATED 2291159 SzGeCERN 20210421210146.0 9780262035682 print version, hardback 0262035685 print version, hardback oai:cds.cern.ch:2291159 cerncds:BOOK eng 001.8 The handbook of science and technology studies 4th ed. Cambridge, MA The MIT Press 2017 1190 p paper Science and Technology Studies (STS) is a flourishing interdisciplinary field that examines the transformative power of science and technology to arrange and rearrange contemporary societies. The Handbook of Science and Technology Studies provides a comprehensive and authoritative overview of the field, reviewing current research and major theoretical and methodological approaches in a way that is accessible to both new and established scholars from a range of disciplines. This new edition, sponsored by the Society for Social Studies of Science, is the fourth in a series of volumes that have defined the field of STS. It features 36 chapters, each written for the fourth edition, that capture the state of the art in a rich and rapidly growing field. One especially notable development is the increasing integration of feminist, gender, and postcolonial studies into the body of STS knowledge. The book covers methods and participatory practices in STS research; mechanisms by which knowledge, people, and societies are coproduced; the design, construction, and use of material devices and infrastructures; the organization and governance of science; and STS and societal challenges including aging, agriculture, security, disasters, environmental justice, and climate change. SzGeCERN Science in General BOOK Felt, Ulrike ed. Fouché, Rayvon ed. Miller, Clark A ed. Smith-Doerr, Laurel ed. CERN Central Library 001.8 FEL 201711 h 201743 21 https://catalogue.library.cern/legacy/2291159 BOOK MIGRATED 2299148 20210715194931.0 oai:cds.cern.ch:2299148 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI IEEE 10.1109/TNS.2017.2711261 arXiv oai:arXiv.org:1712.09423 oai:inspirehep.net:1629869 https://inspirehep.net/api/oai2d Inspire 2021-06-30T22:26:52Z 2021-07-14T19:25:23Z marcxml true Inspire 1629869 arXiv arXiv:1712.09423 physics.ins-det eng Rohr, David ORCID:0000-0003-4101-0160 Frankfurt U., FIAS CERN Frankfurt Institute for Advanced Studies, Frankfurt, Germany IEEE Online Calibration of the TPC Drift Time in the ALICE High Level Trigger arXiv Online Calibration of the TPC Drift Time in the ALICE High Level Trigger 2017-06-05 2017-12-26 8 p arXiv 8 pages, 10 figures, proceedings to 2016 IEEE-NPSS Real Time Conference IEEE A Large Ion Collider Experiment (ALICE) is one of the four major experiments at the Large Hadron Collider (LHC) at CERN. The high level trigger (HLT) is a compute cluster, which reconstructs collisions as recorded by the ALICE detector in real-time. It employs a custom online data-transport framework to distribute data and workload among the compute nodes. ALICE employs subdetectors that are sensitive to environmental conditions such as pressure and temperature, e.g., the time projection chamber (TPC). A precise reconstruction of particle trajectories requires calibration of these detectors. Performing calibration in real time in the HLT improves the online reconstructions and renders certain offline calibration steps obsolete speeding up offline physics analysis. For LHC Run 3, starting in 2020 when data reduction will rely on reconstructed data, online calibration becomes a necessity. Reconstructed particle trajectories build the basis for the calibration making a fast online-tracking mandatory. The main detectors used for this purpose are the TPC and Inner Tracking System. Reconstructing the trajectories in the TPC is the most compute-intense step. We present several improvements to the ALICE HLT developed to facilitate online calibration. The main new development for online calibration is a wrapper that can run ALICE offline analysis and calibration tasks inside the HLT. In addition, we have added asynchronous processing capabilities to support long-running calibration tasks in the HLT framework, which runs event-synchronously otherwise. In order to improve the resiliency, an isolated process performs the asynchronous operations such that even a fatal error does not disturb data taking. We have complemented the original loop-free HLT chain with ZeroMQ data-transfer components. The ZeroMQ components facilitate a feedback loop that inserts the calibration result created at the end of the chain back into tracking components at the beginning of the chain, after a short delay. All these new features are implemented in a general way, such that they have use-cases aside from online calibration. In order to gather sufficient statistics for the calibration, the asynchronous calibration component must process enough events per time interval. Since the calibration is valid only for a certain time period, the delay until the feedback loop provides updated calibration data must not be too long. A first full-scale test of the online calibration functionality was performed during 2015 heavy-ion run under real conditions. Since then, online calibration is enabled and benchmarked in 2016 proton-proton data taking. We present a timing analysis of this first online-calibration test, which concludes that the HLT is capable of online TPC drift time calibration fast enough to calibrate the tracking via the feedback loop. We compare the calibration results with the offline calibration and present a comparison of the residuals of the TPC cluster coordinates with respect to offline reconstruction. arXiv ALICE (A Large Ion Collider Experiment) is one of four major experiments at the Large Hadron Collider (LHC) at CERN. The High Level Trigger (HLT) is a compute cluster, which reconstructs collisions as recorded by the ALICE detector in real-time. It employs a custom online data-transport framework to distribute data and workload among the compute nodes. ALICE employs subdetectors sensitive to environmental conditions such as pressure and temperature, e.g. the Time Projection Chamber (TPC). A precise reconstruction of particle trajectories requires the calibration of these detectors. Performing the calibration in real time in the HLT improves the online reconstructions and renders certain offline calibration steps obsolete speeding up offline physics analysis. For LHC Run 3, starting in 2020 when data reduction will rely on reconstructed data, online calibration becomes a necessity. Reconstructed particle trajectories build the basis for the calibration making a fast online-tracking mandatory. The main detectors used for this purpose are the TPC and ITS (Inner Tracking System). Reconstructing the trajectories in the TPC is the most compute-intense step. We present several improvements to the ALICE High Level Trigger developed to facilitate online calibration. The main new development for online calibration is a wrapper that can run ALICE offline analysis and calibration tasks inside the HLT. On top of that, we have added asynchronous processing capabilities to support long-running calibration tasks in the HLT framework, which runs event-synchronously otherwise. In order to improve the resiliency, an isolated process performs the asynchronous operations such that even a fatal error does not disturb data taking. We have complemented the original loop-free HLT chain with ZeroMQ data-transfer components. [...] arXiv http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv nonexclusive-distrib. 1.0 SzGeCERN Detectors and Experimental Techniques CERN ARTICLE CERN LHC ALICE Krzewicki, Mikolaj Frankfurt U. Goethe University Frankfurt, Frankfurt, Germany Zampolli, Chiara INFN, Bologna INFN, Bologna, Italy Wiechula, Jens Frankfurt U. Goethe University Frankfurt, Frankfurt, Germany Gorbunov, Sergey Frankfurt U. Goethe University Frankfurt, Frankfurt, Germany Chauvin, Alex Munich, Tech. U. Technical University of Munich, Munich, German Vorobyev, Ivan Munich, Tech. U. Technical University of Munich, Munich, German Weber, Steffen Darmstadt, Tech. U. Technical University Darmstadt, Darmstadt, Germany Schweda, Kai Heidelberg U. University of Heidelberg, Heidelberg, Germany Lindenstruth, Volker Frankfurt U., FIAS Frankfurt Institute for Advanced Studies, Frankfurt, Germany ALICE Collaboration 1263-1270 6 IEEE Trans. Nucl. Sci. 64 C16-06-05.2 2017 1376959 1005883 http://cds.cern.ch/record/2299148/files/arXiv:1712.09423.pdf Preprint 1377100 3757 http://cds.cern.ch/record/2299148/files/plot-calib-merger.png 00005 Illustration of the scheme for merging calibration objects and for the feedback loop. \cite{bib:ctd} 1377101 94334 http://cds.cern.ch/record/2299148/files/hlt-overview.png 00008 Overview of all components currently running in the HLT. \cite{bib:ctd} 1377102 23292 http://cds.cern.ch/record/2299148/files/gp_calib_time.png 00000 Processing time of the calibration task in the HLT depending on the number of tracks in event. 1377103 20160 http://cds.cern.ch/record/2299148/files/2016-Feb-12-gp_calib.png 00001 Online calibration processing rate and latency in the High Level Trigger online compute farm. The red (upper) curve shows the rate at which the HLT reconstructs the incoming events synchronously (right-hand scale). The green (lower) curve shows the asynchronous rate (left-hand scale) how many calibration tasks have finished processing an event in that second. The bar plot on the bottom show the calibration intervals. The dark (blue) bar is the calibration interval itself. The yellow bar on the right of the calibration interval shows the time required for the feedback loop. The light blue bar on the left of it shows when the first event was recorded that contributed to the calibration interval. 1377104 24192 http://cds.cern.ch/record/2299148/files/gp_sec0_cluster_temperature_obj.png 00003 Deviation of cluster $z$-position due to missing temperature information in the HLT after drift time correction. The deviation on the~$y$-axis is obtained as follows: calibration for the run is performed twice, once with a correct temperature setting and once with an offset. We want to verify that the drift time correction factor from the calibration compensates for the incorrect temperature. We perform the cluster transformation twice, with both calibrations. The difference shown on the~$y$-axis is the cluster-per-cluster difference of the clusters'~$z$-coordinate with both calibrations. 1377105 31147 http://cds.cern.ch/record/2299148/files/gp_sec0_cluster_hlt_feedback_loop.png 00004 Comparison of the cluster~$z$-coordinate deviation using online calibration ($y$-axis) to an uncalibrated HLT ($x$-axis). Similar to Figure~\ref{fig_calib_dz}, but here also the~$x$-axis shows a difference of cluster positions, comparing the new online calibration and no calibration. 1377106 26310 http://cds.cern.ch/record/2299148/files/drifttime.png 00002 Drift velocity correction factor ($1 + \alpha$) computed by offline CPass0 (black, upper curve) and by online calibration (red, lower curve). 1377107 28999 http://cds.cern.ch/record/2299148/files/gp_sec0_cluster_hlt_dz_feedback_loop.png 00007 Deviation of cluster $z$-position using HLT online calibration with feedback loop compared to offline reconstruction. Similar to Figure~\ref{fig_calib_temperature}, but on the~$y$-axis we compare the difference of the clusters'~$z$-position obtained using the offline calibration and using the online calibration. (The difference between positive and negative~$z$ stems from a currently incorrectly calculated trigger offset time in the online calibration.) 1377108 20730 http://cds.cern.ch/record/2299148/files/plot-calib-scheme.png 00006 Illustration of the online calibration approach in the ALICE High Level Trigger. \cite{bib:rt2016} 1377109 16787 http://cds.cern.ch/record/2299148/files/alice-calib.png 00009 Illustration of the reconstruction passes used in ALICE offline analysis to produce calibration objects. (From Ivan Vorobyev: Online Calibration of the ALICE-TPC in LHC-Run 2, DPG Fr\"uhjahrstagung 2015.) 2308796 1005883 http://cds.cern.ch/record/2299148/files/1712.09423.pdf Fulltext 13 2138847 1263-1270 padua20160605 ConferencePaper ARTICLE 2298631 SzGeCERN 20210209110601.0 DOI IOP 10.1088/1742-6596/898/6/062053 oai:inspirehep.net:1638179 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d 2017-12-20T05:00:11Z marcxml oai:inspirehep.net:1638179 2017-12-19T07:27:18Z Inspire 1638179 eng Leduc, J CERN IOP Data Center Environmental Sensor for safeguarding the CERN data archive 2017 6 p IOP CERN has been archiving data on tapes in its Computer Center for decades and its archive system is now holding more than 135 PB of HEP data in its premises on high density tapes. For the last 20 years, tape areal bit density has been doubling every 30 months, closely following HEP data growth trends. During this period, bits on the tape magnetic substrate have been shrinking exponentially; today’s bits are now smaller than most airborne dust particles or even bacteria. Therefore tape media is now more sensitive to contamination from airborne dust particles that can land on the rollers, reels or heads. These can cause scratches on the tape media as it is being mounted or wound on the tape drive resulting in the loss of significant amounts of data. To mitigate this threat, CERN has prototyped and built custom environmental sensors that are hosted in the production tape libraries, sampling the same airflow as the surrounding drives. This paper will expose the problems and challenges we are facing and the solutions we developed in production to better monitor CERN Computer Center environment in tape libraries and to limit the impact of airborne particles on the LHC data. IOP CC-BY-3.0 http://creativecommons.org/licenses/by/3.0/ publication SzGeCERN Computing and Computers CERN Bahyl, V CERN Cancio, G CERN Cano, E CERN Genoud, Q Savoie U. Kruse, D F CERN Murray, S CERN 062053 6 C16-10-14 2017 J. Phys.: Conf. Ser. 898 1375109 768736 http://cds.cern.ch/record/2298631/files/pdf.pdf Fulltext 13 2157890 sanfrancisco20161010 062053 ARTICLE ConferencePaper 0-0-0-0-1-0-0 2017-11-27 09:33:53 Invenio/1.1.2.1260-aa76f refextract/1.5.44 tmp07pOQH SHARP GP2Y1010AU0F specifications 1 https://www.sharpsde.com/products/optoelectroniccomponents/model/GP2Y1010AU0F MiePlot homepage 2 http://www.philiplaven.com/mieplot.htm Raspberry Pi 2 product page 3 https://www.raspberrypi.org/products/raspberry-pi-2-model-b DCES homepage on open hardware repository 4 http://www.ohwr.org/projects/dces-dtrhf-ser1ch-v1 The CERN Open Hardware licenses 5 http://www.ohwr.org/projects/cernohl/wiki The DCES firmware repository 6 http://www.ohwr.org/projects/dces-dtrhf-ser1ch-v1/repository The FSF GPLv3 license 7 https://www.gnu.org/licenses/gpl-3.0.en.html 2298122 SzGeCERN 20180822202549.0 9783319518442 (electronic bk.) electronic version 9783319518435 electronic version EBL 4825445 eng GB3-5030 526.1 Pirasteh, Saied Global changes and natural disaster management Cham Springer 2017 229 p Preface -- Contents -- Contributors -- Land Use and Land Cover Change -- 1 Examining the Effect of Land Use on the Spatiotemporal Dynamics of Urban Temperature in an Industrial City: A Landsat Imagery Analysis -- Abstract -- 1 Introduction -- 2 Study Area -- 3 Methodology -- 3.1 Retrieval of Land Surface Temperature (LST) -- 4 Results and Discussion -- 5 Conclusions -- Acknowledgements -- References -- 2 The Study of Multi-temporal Analysis of Urban Development and Environmental Changes of the City of Abu Dhabi -- Abstract -- 1 Introduction -- 2 Study Area and Data Description -- 3 Methodology -- 3.1 Geometric Correction and Mosaicking -- 3.2 Vegetation Analysis -- 3.3 Urban Expansion Analysis -- 3.4 Classification -- 4 Results and Discussion -- 4.1 Vegetation Analysis -- 4.2 Urban Expansion -- 4.3 Classification -- 4.4 Relating the Plots -- 5 Conclusion -- References -- 3 CRF-Based Simultaneous Segmentation and Classification of High-Resolution Satellite Images -- Abstract -- 1 Introduction -- 2 Related Work -- 3 CRF-Based Image Classification Method -- 3.1 Features Calculation -- 3.1.1 SIFT Descriptor -- 3.1.2 Color-SIFT Descriptor -- 3.1.3 LBP Feature -- 3.1.4 Texton Feature -- 3.2 Mean Shift Image Segmentation -- 3.3 Potential Function -- 3.3.1 Unary Potential -- 3.3.2 Pairwise Potential -- 3.3.3 Region Consistency Potential -- 3.4 Graph Cut -- 4 Results and Discussion -- 5 Conclusion -- Acknowledgements -- References -- 4 The Dynamic of Dike-Pond System in the Pearl River Delta During 1964-2012 -- Abstract -- 1 Introduction -- 2 Study Area -- 3 Methodology -- 3.1 Overview of Workflow -- 3.2 Remote Sensing Data and Data Preprocess -- 3.3 Object-Oriented Classification -- 4 Results and Discussion -- 4.1 Analysis of the Area of Dike-Pond Patches and Dynamic Change Trends -- 4.2 The Dynamic Transfer of Dike-Pond Land. 4.3 Analysis of Interactions Between Dike-Pond Land and Developed Land -- 5 Conclusions -- Acknowledgements -- References -- Agriculture Monitoring -- 5 Effects of Irrigation and Nitrogen on Maize Growth and Yield Components -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Experimental Sites -- 2.2 Experimental Design -- 2.3 Measurements -- 2.4 Statistical Analysis -- 3 Results and Discussion -- 3.1 Plant Height -- 3.2 Crop Growth Rate -- 3.3 Yield and Its Components -- 3.4 Water Use Efficiency and Harvest Index -- 3.5 Population Physiological Indices -- 4 Conclusions -- Acknowledgements -- References -- 6 A Review of the Effects of Drought on the Grain Yield in the Vays, Mollasani, and Salamat Regions of the Khuzestan Province -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Characteristics of the Study Area -- 2.2 The General Steps of the Project -- 2.2.1 The Use of SPI Index to Evaluate the Phenomena of Drought in the Region -- 2.2.2 The Use of Satellite Images to Extract Useful Data -- 2.2.3 The Use of GIS for Spatial Data Analysis -- 3 Conclusion -- References -- Smart City -- 7 Communicating Disaster Risk Reduction Through Web-Map Applications -- Abstract -- 1 Introduction -- 2 MapDRR Design and Development -- 2.1 Mapping DRR Projects with ArcGIS Online Webapp Builder -- 3 Disaster Risk Reduction Projects in the MapDRR Database -- 4 MapDRR Application -- 5 Conclusion -- Acknowledgments -- References -- 8 Mapping Sand Dune Fields in Abu Dhabi Emirate Over the Period of 1992-2013 Using Landsat Data -- Abstract -- 1 Introduction -- 2 Study Area -- 3 Methodology -- 3.1 Data -- 3.2 Methods -- 3.3 Extraction of Vegetation Class -- 3.4 Classification Scheme -- 3.5 Classification and Accuracy Assessment -- 4 Results and Discussion -- 4.1 Land Cover and Sand/Non-sand Maps for Years 1992, 2002, and 2013. 4.2 Accuracy Assessment -- 5 Conclusion and Recommendations -- References -- 9 Spatiotemporal Analysis and Image Registration for Studying Growth of Transportation Infrastructure in Sharjah City, UAE -- Abstract -- 1 Introduction -- 2 Study Area -- 3 Geospatial Data -- 4 Analysis -- 4.1 First Approach -- 4.2 Second Approach -- 5 Conclusion -- References -- Climate Change -- 10 Assessment of the Potential Impacts of Sea Level Rise on the Coastal Plain of Al Batinah, Sultanate of Oman -- Abstract -- 1 Introduction -- 2 Study Area -- 3 Dataset and Methodology -- 4 Results and Discussions -- References -- 11 Climate Change and Insecurity: An Examination of Gombe State's Predicament in the Northeastern Nigeria -- Abstract -- 1 Background of the Study -- 2 Review of Literature on Climate and Insecurity -- 3 Impacts of Climate Change on Human Security -- 4 Objectives of the Study -- 5 Research Questions -- 6 Null Hypothesis -- 7 Methodology -- 8 Presentation of Findings -- 9 Discussion of Findings -- 10 Conclusion -- 11 Recommendations -- References -- 12 Climate Change and Forced Migration from Ngala and Kala-Balge LGAs, N.E. Borno State, Nigeria -- Abstract -- 1 Introduction -- 2 Statement of Research Problem -- 3 Aim and Objectives -- 4 Justifications for the Study -- 5 Scope -- 6 Study Areas -- 7 Materials and Methods -- 8 Profiles of the Respondents and Migrants -- 9 Results and Discussion -- 10 Linkages Between Drought and Forced Migration -- 11 Emigrants' Contributions to the Growth of Their Area of Origin -- 12 Destinations of the Migrants -- 13 Causes of Migration in the Sahel -- 14 Conclusions and Recommendations -- 14.1 Conclusion -- 14.2 Recommendations -- References -- Risk Assessment -- 13 Detection of Areas Associated with Flash Floods and Erosion Caused by Rainfall Storm Using Topographic Attributes, Hydrologic Indices, and GIS -- Abstract. 1 Introduction -- 2 Materials and Methods -- 2.1 Study Site -- 2.2 ASTER GDEM Data -- 2.3 Sediment Transport and Hydrologic Indices -- 3 Results Analysis -- 4 Conclusions -- Acknowledgements -- References -- 14 Collapse Assessment of Substandard Concrete Structures for Seismic Loss Estimation of the Building Inventory in the UAE -- Abstract -- 1 Introduction -- 2 Reference Structures and Ground Motions -- 2.1 Selection, Design, and Modeling of Pre-seismic Code Structures -- 2.2 Selection of Scenario-Based Earthquake Records -- 3 Performance Assessment of Existing Structures -- 3.1 Shear Demand-Supply Response at the Member Level -- 4 Selection of Performance Indicators -- 5 Fragility Assessment -- 6 Conclusions -- Acknowledgments -- References -- Disaster Management -- 15 Status of Spatial Analysis for Urban Emergency Management -- Abstract -- 1 Introduction -- 2 Overview of Urban Emergency Situations -- 2.1 Earthquakes and Humanitarian Coordination for Internally Displaced Persons (IDP) -- 2.2 Urban Fire -- 2.3 Terrorists Attacks -- 2.4 Infrastructure Failure -- 2.5 Flood Scenarios -- 2.6 Pandemic Outbreaks -- 2.7 Extreme Heat Attacks -- 2.8 Mass Gathering and Civil Unrest -- 2.9 Sandstorms -- 3 Challenges and Future Directions -- 4 Conclusions -- References -- 16 Experimental Study of the Mechanics of Gypsum Seam Hazard for Abu Dhabi -- Abstract -- 1 Introduction -- 2 Abu Dhabi Geological Setting -- 2.1 Geology and Geotechnical Description -- 2.2 Hydrogeology of Abu Dhabi -- 3 Gypsum Seam Hazards -- 4 Experimental Setup -- 4.1 Overview -- 4.2 Plaster of Paris Calibration Tests -- 4.3 Specimen Preparation -- 4.4 Apparatus Setup -- 5 Results and Discussions -- 6 Conclusions and Recommendations -- 6.1 Conclusions -- 6.2 Recommendations -- Acknowledgements -- References -- Index. Li, Jonathan 9783319518435 print version oai:cds.cern.ch:2298122 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4825445 ebook ebook EBL201712 Astrophysics and Astronomy SzGeCERN BOOK n 201750 201712 21 PUBLIC BOOK DELETED 2298110 SzGeCERN 20210421205719.0 9789811028205 print version 9789811028205 electronic version electronic version 9789811028212 electronic version electronic version oai:cds.cern.ch:2298110 cerncds:BOOK EBL 4816312 eng QC71.82-73.8 621.483 Kasahara, Naoto Fast reactor system design Singapore Springer 2017 307 p ebook An advanced course in nuclear engineering 8 Series Aims and Scopes -- Preface -- Contents -- Editor, Authors, and Collaborators -- Author and Editor -- Authors -- Collaborators -- Chapter 1: Designing a New Reactor -- 1.1 Thinking Process and Design Methods for a New Reactor -- 1.1.1 New Technology Creation and Design Methodology -- 1.1.2 Thinking Process on New Reactor Design -- 1.1.3 Actual Design and Constraints -- 1.2 Research and Development -- 1.2.1 Roles of Reactors in Research and Development -- 1.2.2 Basic and Mock-Up Tests -- 1.2.3 Using Numerical Simulation -- 1.3 Design, Construction and Operation -- 1.3.1 Design Standards and Design -- 1.3.2 Construction and Operation Experience -- 1.3.3 Development Organizations and Systems -- Further Readings -- References -- Chapter 2: Purpose and History of Fast Reactors -- 2.1 Continual Use of Nuclear Energy -- 2.1.1 Release from the Restrictions of Uranium Resources -- 2.1.2 Reduction of Environmental Burden of High-Level Radioactive Waste -- 2.1.3 Targets of FR Development -- 2.2 Development History of FRs -- 2.2.1 Changes in Coolant -- 2.2.2 Changes in Core and Fuel -- 2.2.3 Major Accident/Trouble Experiences -- 2.3 Present Development Situations of FRs -- 2.3.1 Situations by Country -- 2.3.2 International Cooperation -- Further Readings -- References -- Chapter 3: Plant Concepts and Mechanisms -- 3.1 Mechanism of Breeding -- 3.1.1 Fission and Plutonium Generation by Fast Neutrons -- 3.1.2 Mechanism of Fast Neutron Utilization -- 3.2 Mechanism for the Reduction of Toxicity in High-Level Radioactive Waste -- 3.3 Heat Transport for Core Cooling and Power Generation Using Liquid Metal Sodium -- 3.3.1 Liquid Metal Coolant Suitable for the Use of Fast Neutrons -- 3.3.2 Sodium-Cooled Fast Reactor Plant System: Heat Transport from Reactor Core to Steam Turbine -- 3.3.3 Plant System Suitable for Liquid Metal Coolant with a High Boiling Point. Reference -- Chapter 4: Policy of Safety Assurance (Design Constraints and Additional Functional Requirements) -- 4.1 Fundamental Philosophy of Safety Assurance for Nuclear Reactor Facilities -- 4.1.1 Safety Goals and Risk Management -- 4.1.2 Policy of Safety Assurance (Defense in Depth and Fundamental Safety Function) -- 4.1.3 Measures against Severe Accident -- 4.2 Characteristics of Fast Reactors and Basic Policy of Safety Assurance -- 4.2.1 Safety Characteristics of Fast Reactors [7] -- 4.2.2 Safety Approach of Fast Reactors -- 4.2.3 Safety Requirements and Safety Evaluation of Fast Reactors -- 4.3 Measures to Satisfy the Requirements of Safety Functions Specific to Fast Reactors -- 4.3.1 Characteristics of Core Fuels and Associated Safety Measures -- 4.3.2 Safety Measures Associated with Usage of Sodium -- 4.3.3 Severe Accident Measures of Fast Reactors -- References -- Chapter 5: Mind-Set Required to Ensure Structural Integrity (Design Constraints) -- 5.1 Mind-Set Required to Ensure the Structural Integrity of Reactor Facilities -- 5.1.1 Integrated Management in Terms of Material, Design, Manufacturing, Inspection and Maintenance -- 5.1.2 Structural Design Methods for Nuclear Components -- 5.2 Features of Structural Design Conditions of FRs -- 5.2.1 Loading Conditions Specific to the Use of Sodium -- 5.2.2 Types and Prediction of Thermal Loads -- 5.2.3 Failure Modes Assumed in FRs -- 5.3 Measures for Ensuring Structural Integrity of FRs -- 5.3.1 Approaches from Material, Design, Manufacturing, Inspection, and Maintenance Perspectives and the Resulting Constraints -- 5.3.2 Structural Design for High Temperatures and Thermal Stress -- 5.3.3 Aseismic Design of Thin-Walled Structures -- 5.4 Measures for the Mitigation of Loads -- 5.4.1 Thermal Load Mitigation Method -- 5.4.2 Seismic Isolation Structure -- Further Readings -- References. Chapter 6: System Conceptual Design (From Function to Mechanism) -- 6.1 System Conceptual Design -- 6.2 Major System Configuration -- 6.2.1 Core Configuration -- 6.2.2 Reactor Structure Configuration -- 6.2.3 Main Cooling System Configuration -- 6.2.4 Configurations of Fuel Handling and Storage Facilities -- 6.2.5 Auxiliary Sodium Equipment Configuration -- 6.2.6 Safety System Configuration -- 6.2.7 Instrumentation and Control System -- 6.2.8 Power Supply Equipment -- 6.3 Various Factors of System Integration -- 6.3.1 Factors Determined by Heat Balance -- 6.3.2 Factors Determined by Balance Between Functional Requirements and Safety and Structural Integrity Constraints -- 6.3.3 Factors for Achieving Physical Consistency Among Systems -- 6.3.4 Factors Determined by Cost and Technological Level -- Further Readings -- References -- Chapter 7: Core and Fuel Design (From Mechanism to Structure) -- 7.1 Core Components (Fuel Assembly, Control Rod Assembly, Neutron Shield Assembly, Neutron Source Assembly, Surveillance Assem... -- 7.2 Core and Fuel Structure -- 7.3 Blanket Fuel and Breeding Characteristic -- 7.4 Brief Flow of Core Design -- 7.4.1 Determination of Thermal Output -- 7.4.2 Determination of the Number of Fuel Assemblies -- 7.4.3 Determination of the Number of Fuel Pins -- 7.4.4 Determination of Fuel Stack Length and LHR -- 7.4.5 Determination of Fuel Burnup -- 7.4.6 Determination of Fast Neutron Flux and Plutonium Content -- 7.4.7 Determination of Coolant Flow Rate -- 7.4.8 Determination of Basic Fuel Specifications -- 7.5 Core Design -- 7.5.1 Activities Related to Core Design (What Is Core Design?) -- 7.5.2 Trend of Core Design -- 7.5.3 Fundamentals of Reactor Physics for Nuclear Design -- 7.5.4 Nuclear Design -- 7.5.5 Thermal Hydraulic Design -- 7.5.6 Plant Dynamics Analysis -- 7.6 Fuel Design -- 7.6.1 Characteristics of FR Fuel. 7.6.2 Trend of Fast Reactor Fuel Design -- 7.6.3 Fast Reactor Fuel Design -- 7.7 Fuel Research and Development -- 7.7.1 Development of Cladding Material for Increased Burnup -- 7.7.2 Basic Research and Physical Property Measurement of Fast Reactor Fuel -- 7.7.3 Fuel Irradiation Test -- 7.8 Integrity Evaluation of Control Rod Assembly -- 7.9 Control of Plutonium Content in Fuel Fabrication Process -- Further Readings -- References -- Chapter 8: Plant Component Design (from Mechanism to Structure) -- 8.1 Thinking Process of Plant Component Design -- 8.2 Reactor System Component Design -- 8.2.1 Reactor Vessel and Primary Tank -- 8.2.2 Shield Plug and Roof-Deck -- 8.2.3 Upper Core Structure and Control Rod Drive Mechanism -- 8.3 Design of Main Cooling System Components -- 8.3.1 Main Circulation Pump -- 8.3.2 Intermediate Heat Exchanger -- 8.3.3 Main Cooling System Piping -- 8.3.4 Steam Generator -- 8.4 Fuel Handling System Design -- 8.5 Instrumentation and Control System Design -- References -- Chapter 9: Maintenance -- 9.1 Relationship Between Design and Maintenance -- 9.2 NPP Maintenance [1] -- 9.2.1 What Is Maintenance? -- 9.2.2 Major Features of the NPP from the Perspective of Maintenance -- 9.2.3 Deterioration and Maintenance -- 9.2.4 PDCA Cycle of Maintenance Program -- 9.2.5 Maintenance Technology -- 9.3 Maintenance of Fast Reactors -- 9.3.1 Features of Fast Reactors from the Perspective of Maintenance -- 9.3.2 FR Maintenance and Operation [2] -- 9.3.3 Activities Necessary for FR Maintenance [7] -- 9.3.4 In-Service Inspection (ISI) -- 9.3.5 FR Repair Technology -- 9.3.6 Reflection to Design -- Further Readings -- References -- Chapter 10: Actual Monju Design -- 10.1 Policy for the Development of Monju -- 10.1.1 Background and Technical Level at the Time of Monju Design -- 10.1.2 Monju Design Policy and Procedures -- 10.1.3 History of Monju Design. 10.1.4 Relation Between the Flow to Decide Main Specifications and Design Thinking Process -- 10.2 Flow of Monju Conceptual Design -- 10.2.1 Design Step 1: Philosophy -- 10.2.2 Design Step 2: Function -- 10.2.3 Design Step 3: From Function to Mechanism -- 10.2.4 Design Step 4 : From Mechanism to Structure -- 10.3 Research and Development (RandD) Activities for Monju -- 10.3.1 Design and RandD -- 10.3.2 Important RandD Items -- 10.4 Monju Design Process Flow and Adjustment of Specifications -- 10.4.1 Design Process Flow of Each System -- 10.4.2 Features of Design Flow and the Summary -- 10.5 Design Limits of Monju -- 10.6 Key Items in Monju Design -- 10.6.1 Policy of Safety Design -- 10.6.2 High-Temperature Structural Design Guide and Material Strength Standards -- 10.6.3 Heat Generation and Removal Capabilities in Reactor -- 10.6.4 Reliability of Reactor Shutdown System -- 10.6.5 Decay Heat Removal Function -- 10.6.6 Design of Containment Vessel -- 10.6.7 Function to Suppress Fire Due to Leaked Sodium -- 10.7 Verification of Monju Design Technology -- Further Readings -- References. EBL201712 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4816312 ebook n 201750 201712 21 PUBLIC https://catalogue.library.cern/legacy/2298110 BOOK MIGRATED 2298107 SzGeCERN 20210421205719.0 9789811037900 print version 9789811037900 electronic version electronic version 9789811037917 electronic version electronic version oai:cds.cern.ch:2298107 cerncds:BOOK EBL 4815409 eng QC71.82-73.8 621.042 Agarwal, Avinash Kumar Biofuels technology, challenges and prospects Singapore Springer 2017 249 p ebook Green energy and technology Preface -- Contents -- About the Editors -- General -- 1 Introduction to Biofuels -- Abstract -- 2 Sustainable Production of Chemicals and Energy Fuel Precursors from Lignocellulosic Fractions -- Abstract -- 1 Introduction -- 2 Lignocellulosic Biomass: Fraction and Its Structure -- 3 Hydrolysis of Lignocellulose -- 3.1 Homogeneous Hydrolysis Strategy -- 3.2 Heterogeneous Hydrolysis Strategy -- 4 Thermochemical Catalysis of Carbohydrate Sugars -- 5 Catalytic Valorization of Bio-derived Lignin -- 6 Summary and Perspectives -- Acknowledgements -- References -- 3 Microbial Electrochemical Platform: Biofactory with Diverse Applications -- Abstract -- 1 Introduction -- 2 Electron Transfer -- 3 Applications of MES -- 3.1 Microbial Fuel Cell (MFC) -- 3.1.1 Plant-MFC -- 3.1.2 Wetland Constructed MFC -- 3.2 Bioelectrochemical Treatment (BET) -- 3.2.1 Metal Recovery -- 3.3 Bioelectrochemical System (BES) -- 3.4 Microbial Electrolysis -- 3.5 Microbial Desalination -- 3.6 Electro-Fermentation -- 3.7 Other Applications -- 4 Conclusion -- Acknowledgements -- References -- 4 Biomass-Derived HMF Oxidation with Various Oxidants -- Abstract -- 1 Introduction -- 2 HMF Oxidation with Peroxides -- 3 HMF Oxidation in Air -- 4 HMF Oxidation in Pure Oxygen -- 5 Perspective and Outlook -- References -- 5 Hydrothermal Liquefaction of Lignocellulosic Biomass Components: Effect of Alkaline Catalyst -- Abstract -- 1 Introduction -- 2 Materials and Experimental Procedures -- 2.1 Materials -- 2.2 Apparatus and Experimental Procedure -- 2.3 Analysis of Feed and Reaction Products -- 3 Results and Discussions -- 3.1 Properties of Feedstock -- 3.1.1 Cellulose -- Lignin -- 3.2 Product Distribution from Hydrothermal Liquefaction of Cellulose and Lignin -- 3.3 Analysis of Reaction Products -- 3.3.1 Analysis of Liquid Products -- Cellulose -- Lignin -- 3.3.2 Analysis of Bio-Residue. Cellulose -- Lignin -- 4 Conclusions -- Acknowledgements -- Appendix -- References -- 6 Pretreatment Strategies of Lignocellulosic Biomass Towards Ethanol Yield: Case Study of Pine Needles -- Abstract -- 1 Introduction -- 1.1 The Roadmap of the Lignocellulosic Biomass to Ethanol Production -- 1.2 Various Aspects of Pretreatment Process Selection -- 2 Various Pretreatment Methods -- 2.1 Selection of Pretreatment Method -- 2.2 Weak Acid Pretreatment of the Biomass -- 2.2.1 Mechanism of Action of Acid on Sugar Polymer Chain -- 2.2.2 Effects of Pretreatment on Biomass Composition -- 2.2.3 Drawbacks of Acid Pretreatment -- 2.3 Alkaline Pretreatment of the Biomass -- 2.3.1 Mechanism of Action of Alkali Pretreatment of Biomass -- 2.3.2 Effects of Pretreatment on Biomass Composition -- 2.3.3 Significance and Drawbacks of Alkaline Pretreatment -- 2.4 Sequential Dilute Alkali and Dilute Acid Pretreatment (SDAAP) -- 2.5 Surfactant Assisted Acid or Alkali Pretreatment -- 2.5.1 Surfactant Assisted Acid Pretreatment (SAAP) and Surfactant Assisted Base Pretreatment (SABP) -- 3 SEM Analysis of Pretreated Biomass -- 4 Detoxification of Pretreated Liquor -- 5 Enzymatic Saccharification of Pretreated Biomass -- 6 Fermentation of Biomass Hydrolyzate for Ethanol Production -- 7 Summary -- 8 Conclusions -- Acknowledgements -- References -- 7 Ultrasound-Assisted Biodiesel Synthesis: A Mechanistic Insight -- Abstract -- 1 Introduction -- 2 Ultrasound and Cavitation Bubble Dynamics: A Brief Overview -- 2.1 Ultrasound Wave Phenomenon -- 2.2 Cavitation Bubble Dynamics -- 2.3 Radial Motion of Cavitation Bubbles -- 2.4 Modeling of the Sonochemical and Sonophysical Effects -- 2.4.1 Sonochemical Effect -- 2.4.2 Physical Effects of Cavitation Bubble -- Micro-streaming -- Acoustic Streaming -- Microturbulence -- Acoustic (or Shock) Waves -- Microjets. 3 Mechanistic Insight into Ultrasound-Assisted Biodiesel Synthesis -- 3.1 Transesterification of Refined Edible Oil -- 3.2 Transesterification of Non-edible Oil -- 3.3 Transesterification with Mixed Non-edible Oil Feedstock -- 4 Conclusions and Perspectives -- References -- 8 Thermo-Chemical Ethanol Production from Agricultural Waste Through Polygeneration: Performance Assessment Through a Case Study -- Abstract -- 1 Introduction -- 2 Types and Sources of Biomass -- 3 Logistics and Handling of Agricultural Waste -- 4 Conversion of Biomass -- 5 Biomass to Thermo-Chemical Ethanol -- 5.1 Gasification -- 5.2 Syngas Processing -- 5.3 Ethanol Synthesis and Separation -- 6 Process Configurations -- 6.1 Polygeneration -- 6.2 Ethanol Production Through Polygeneration-A Case Study -- 6.3 Net-CO2 Negative Ethanol -- 7 Assessment of the Ethanol Production Process -- 7.1 Thermodynamic Assessment -- 7.2 Economic Assessment -- 7.3 Environmental Impact Assessment -- 8 Conclusion -- Acknowledgements -- References -- 9 Microalgae Based Biofuel: Challenges and Opportunities -- Abstract -- 1 Introduction -- 2 Demand and Production of Biofuel -- 3 Microalgae -- 3.1 Use of Microalgae as a Single Cell for Production of Biofuel and Its Byproducts -- 3.1.1 Cultivation of Microalgae -- Photobioreactor -- Open Ponds System -- 3.1.2 Harvesting, Drying and Oil Extraction from Microalgae -- 3.1.3 Transesterification -- 3.2 Photosynthesis and Metabolic Route for Production of Lipid in Microalgae -- 3.3 Benefits of Using Microalgae as Biofuel Source -- 3.3.1 Oil Content of Microalgae -- 3.3.2 Other Products of Microalgae -- 3.3.3 Use of Low Cost Feed Stocks for Cultivation of Microalgae for Biodiesel Production -- 3.3.4 Use of Waste Water for Cultivation of Microalgae -- 3.3.5 Land Requirement by Microalgae for Their Cultivation -- 3.3.6 Carbon Neutral Process of Microalgae. 3.3.7 Cost Effectiveness of Using Microalgae -- 4 Drawbacks and Challenges of Utilizing Microalgae for Biofuel Production -- 5 Conclusions and Future Outlook -- Acknowledgements -- References -- 10 Surrogates for Biodiesel: Review and Challenges -- Abstract -- 1 Introduction -- 1.1 Chemical Composition -- 1.2 Properties -- 2 Surrogates for Biodiesels and Their Kinetic Modeling -- 2.1 Kinetics of Methyl Ester Molecules -- 2.1.1 Kinetic Models for Saturated Methyl Esters -- 2.1.2 Kinetic Models for Unsaturated Methyl Esters -- 2.1.3 Kinetic Models for Biodiesels -- 2.2 Components of Surrogate Mixtures -- 2.3 Surrogate Definition and Kinetic Modeling -- 2.3.1 Comparing Different Surrogate Definition Criteria -- 2.3.2 Kinetic Models for Surrogates -- 3 Challenges -- 3.1 Widening the Experimental Database for the Real Fuel and its Components -- 3.2 Accuracy of Surrogate Component Kinetics -- 3.3 Surrogate Definition Criteria for Gas Phase Applications -- 3.4 Deriving Reduced Mechanisms for Surrogates -- 3.5 Surrogates for Liquid Phase Applications -- 4 Concluding Remarks -- Acknowledgements -- Appendix: List of Biodiesel Surrogates and Their Kinetic Models -- References -- 11 Response Surface Methodology Based Multi-objective Optimization of the Performance-Emission Profile of a CI Engine Running on Ethanol in Blends with Diesel -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Blend Stability Analysis -- 2.1.1 Stability of Ethanol-Diesel Blends -- 2.1.2 Deciding Volume Percentage of Solvent -- 2.1.3 Deciding Volume Percentage of Diethyl Ether -- 2.2 The Design of Experiment (DoE) Paradigm -- 2.3 The Experimental Setup -- 2.4 Error Analysis -- 2.5 Emission Analysis -- 2.6 RSM Technique: An Optimization Approach -- 3 Results and Discussion -- 3.1 Response Model Formulation -- 3.1.1 NOx Model Formulation -- 3.1.2 HC Model Formulation. 3.1.3 CO Model Formulation -- 3.1.4 BSFC Model Formulation -- 3.2 Evaluation of Fitness of RSM Models -- 3.2.1 Assessing Model Adequacy by Using Residual Plots Obtained for the Model -- 3.2.2 Assessing Model Adequacy by Further Goodness of Fit Measures -- 3.3 Optimization Results -- 3.4 Validation of Optimized Results -- 4 Conclusion -- Acknowledgements -- References -- 12 Effect of Alcohol Blending on Performance of Kerosene Fuelled Four-Stroke Spark Ignition Genset -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Nomenclature -- 2.2 Experimental Setup -- 2.3 Test Procedure -- 3 Results and Discussion -- 4 Conclusion -- References. EBL201712 Engineering SzGeCERN BOOK Agarwal, Rashmi Avinash Gupta, Tarun Gurjar, Bhola Ram https://cds.cern.ch/auth.py?r=EBLIB_P_4815409 ebook n 201750 201712 21 PUBLIC https://catalogue.library.cern/legacy/2298107 BOOK MIGRATED 2298096 SzGeCERN 20210421205721.0 9783319515557 print version 9783319515557 electronic version electronic version 9783319515564 electronic version electronic version oai:cds.cern.ch:2298096 cerncds:BOOK EBL 4803582 eng HB71-74 005.55 Owen, Anne Techniques for evaluating the differences in multiregional input-output databases a comparative evaluation of CO2 consumption-based accounts calculated using Eora, GTAP and WIOD Cham Springer 2017 236 p ebook Developments in input-output analysis Acknowledgment -- Endorsement -- Contents -- Acronyms -- 1 Introduction -- 1.1 Overview -- 1.2 Rationale -- 1.2.1 Input--Output Analysis -- 1.2.2 Consumption-Based Accounting -- 1.2.3 Rapid Development in MRIO Databases, Coverage and Availability -- 1.2.4 Understanding Difference and Uncertainty -- 1.2.5 The Need for Further Research -- 1.3 Aims and Research Themes -- 1.4 Organisation of This Book -- References -- 2 Literature Review -- 2.1 A Brief Overview of Input--Output Techniques -- 2.1.1 Environmentally-Extended Input--Output Analysis -- 2.1.2 Understanding Trade in Input--Output Analysis -- 2.2 MRIO Construction -- 2.2.1 Data Requirements to Extend IO to Consider Global Trade -- 2.2.2 Preparation of Data for MRIO -- 2.3 Data Sources and Construction of Current MRIO Systems -- 2.3.1 GTAP MRIO -- 2.3.2 WIOD MRIO -- 2.3.3 Eora MRIO -- 2.3.4 Comparing the Source Data, Structure and Construction of Eora, GTAP and WIOD -- 2.4 The Future of MRIO Databases -- 2.4.1 EXIOBASE -- 2.4.2 OECD ICIO -- 2.4.3 Further Considerations -- 2.5 Differences in MRIO Outcomes -- 2.5.1 Exploring the Effect of Data and Build Choices on MRIO Outcomes -- 2.5.2 Calculated Differences in CBA of Eora, GTAP and WIOD -- 2.6 Policy Applications, Level of Detail and Uncertainty -- 2.6.1 National CBAs -- 2.6.2 Identifying the Imported Component of CBA -- 2.6.3 Impact by Source Nation and/or Product Destination -- 2.6.4 Supply Chain Analysis -- 2.7 Matrix Difference Statistics -- 2.8 Structural Decomposition Analysis -- 2.8.1 Log-Mean Divisia Index -- 2.8.2 Shapely-Sun -- 2.8.3 Dietzenbacher and Los -- 2.8.4 Applications of Structural Decomposition Analysis -- 2.9 Structural Path Analysis -- 2.10 Structural Path Decomposition -- References -- 3 Methods and Data -- 3.1 Input--Output Analysys -- 3.1.1 The Leontief Inverse -- 3.1.2 Taylor's Expansion. 3.1.3 Environmentally Extended Input--Output Analysis -- 3.2 Matrix Difference Statistics -- 3.3 Structural Decomposition Analysis -- 3.3.1 Dietzenbacher and Los Method -- 3.3.2 Shapley-Sun Method -- 3.3.3 Logarithmic Mean Divisia Index Method -- 3.4 Structural Path Analysis -- 3.4.1 Structural Path Analysis with Supply and Use Formats -- 3.4.2 Hybrid SUT and SIOT MRIO Tables -- 3.5 Structural Path Decomposition -- 3.6 Aggregating to Common Classifications -- 3.6.1 The Common Classification System -- 3.6.2 Using Concordance Matrices -- 3.7 Conversion of Supply and Use Tables to Symmetric IO Tables -- 3.7.1 Product-by-product Tables from a SUT (Model B) -- 3.7.2 Industry-by-Industry Tables from a SUT (Model D) -- 3.7.3 Calculation Procedure -- 3.8 Databases and Emissions Extensions Used in This Study -- 3.9 Methodological and Data Framework -- References -- 4 Using Matrix Difference Statistics to Compare MRIO Databases -- 4.1 Overview -- 4.2 Creation of Concordance Matrices -- 4.3 A Comparison of Monetary Output Using Original and Aggregated MRIO Databases -- 4.3.1 Country Level Results -- 4.4 A Comparison of Consumption-Based Emissions Using Original and Aggregated MRIO Databases -- 4.4.1 Which Sectors Contribute to the Difference? -- 4.4.2 Country Level Consumption-Based Accounts -- 4.4.3 Country Level CBA Matrix Difference Results -- 4.5 Matrix Comparisons Between Aggregated Matrices -- 4.6 A Comparison of the Monetary Data in Different MRIO Databases -- 4.6.1 Final Demand -- 4.6.2 Inter-industry Transactions -- 4.6.3 Domestic and Imports Sections of Z and y -- 4.6.4 Total Monetary Output -- 4.7 A Comparison of the Emissions Data in Different MRIO Databases -- 4.7.1 Emissions by Industry -- 4.7.2 Emissions Intensity -- 4.7.3 Emissions Multipliers -- 4.7.4 Total Emissions -- 4.8 Which Database Pairing Is Most Similar? -- 4.9 Outcomes. 4.9.1 Aggregated Systems as a Proxy for More Detailed Versions -- 4.9.2 Difference Statistics to Aid Error Checking -- 4.9.3 Correlation and Distance -- 4.9.4 Relating Findings to the Source Data and Build Technique -- 4.10 Summary -- References -- 5 Using Decomposition Techniques to Determine Cause of Difference in MRIO Databases -- 5.1 Overview -- 5.2 Understanding the Effect of Different Source Data -- 5.2.1 Structural Decomposition Equations Used -- 5.2.2 Consumption-Based Emissions Variation Between MRIO Databases -- 5.2.3 Interpreting the Results -- 5.3 Understanding the Effect of Different Build Methods -- 5.3.1 Difference Equations the Effect of Domestic Versus Imports -- 5.3.2 Interpreting the Results -- 5.4 Aggregated Databases Used for SPD -- 5.5 Structural Path Decomposition Equations Used -- 5.6 A Structural Path Analysis---US Case Study -- 5.7 Structural Path Decomposition -- 5.8 Global Results -- 5.8.1 How Often Does a Particular Database Contain the Larger of the Two Paths? -- 5.8.2 What Orders of Paths Make up the Top 100 Path Differences? -- 5.8.3 What Is the Frequency Distribution by Size of Path Difference? -- 5.8.4 Are There Particular Countries that Tend to Produce Large Path Differences? -- 5.8.5 Are There Particular Sectors that Tend to Produce Large Path Differences? -- 5.8.6 Are There Particular Elements Within the Taylor's Equation that Tend to Be Responsible for Most of the Difference Between Paths? -- 5.8.7 What Are the Characteristics of Paths Where the Emissions or the Monetary Data Contribute Most to the Difference? -- 5.9 Outcomes -- 5.9.1 Building on the Findings of the Matrix Difference Statistics -- 5.9.2 Domestic Value Chains -- 5.9.3 Sources of Difference from the Emissions Vector -- 5.9.4 Sources of Difference from the Monetary Data -- 5.9.5 Using Aggregated Data. 5.9.6 SPD as a Tool for Identifying Difference -- 5.10 Summary -- References -- 6 Discussion -- 6.1 Summary of Findings -- 6.1.1 RT1: Calculating the Difference in the CO2 CBA -- 6.1.2 RT2: Identifying the Differences in the Data Sources, Database Structures and Construction Techniques Used by Each Database -- 6.1.3 RT3: Investigating the Effect of the Choice of Sector Aggregation on the CO2 CBA -- 6.1.4 RT4: Determining Whether the Results Produced by Each Database Are Statistically Similar to Each Other -- 6.1.5 RT5: Discovering Why the Different MRIO Databases Give Different Results -- 6.1.6 RT6: Exploring What These Findings Mean for the Future of MRIO Development and Its Use in a Policy Context -- 6.2 Future Development of MRIO Databases -- 6.2.1 Data Sources and Structure -- 6.2.2 Construction Techniques -- 6.2.3 Harmonisation or Specialisation -- 6.3 Future Use of MRIO Outcomes in Policy Analysis -- 6.3.1 Application at Different Scales -- 6.3.2 Choice of Model for Extended Analysis -- References -- 7 Conclusion -- 7.1 The Overarching Aim -- 7.2 Contribution to the Knowledge Base -- 7.2.1 Presentation of the Difference in MRIO Database Philosophy and Outcome -- 7.2.2 Development of New Data to Allow Comparisons to be Made -- 7.2.3 Quantification of the Effect of Construction Choices on CBA Differences -- 7.2.4 Development of New Techniques for Calculating and Communicating Difference -- 7.3 Limitations of the Study -- 7.3.1 Limited Data Compared -- 7.3.2 Large Volume of Results -- 7.3.3 Findings Based on Aggregated Data -- 7.3.4 Dependency Effect in SPA and SPD -- 7.4 Future Research -- 7.4.1 Wider Scope -- 7.4.2 Explore Additional Comparison Techniques -- 7.4.3 What Is the Most Suitable Data, Structure and Construction Technique to Produce Outcomes for Climate Policy?. 7.4.4 Collaborative, Open and Flexible Approaches to Compiling MRIO Databases -- 7.5 Final Thoughts -- References -- 8 Erratum to: Using Decomposition Techniques to Determine Cause of Difference in MRIO Databases -- Erratum to:Chapter 5 in: A. Owen, Techniques for Evaluating the Differences in Multiregional Input-Output Databases, Developments in Input-Output Analysis,DOI 10.1007/978-3-319-51556-4_5 -- 9 Erratum to: Techniques for Evaluating the Differences in Multiregional Input-Output Databases -- Erratum to:A. Owen, Techniques for Evaluating the Differences in Multiregional Input-Output Databases, Developments in Input-Output Analysis,DOI 10.1007/978-3-319-51556-4 -- Appendix A Additional Results -- A.1 Matrix Difference Results -- A.1.1 Comparing Pre- and Post-Aggregated Total Output Differences by Country -- A.1.2 Comparing Pre- and Post-Aggregated Total Emissions Differences by Country -- A.2 Structural Decompostion Results -- A.3 Structural Path Decomposition Results -- A.4 Structural Path Decomposition Results: Global Summary. EBL201712 Computing and Computers SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4803582 ebook n 201750 201712 21 PUBLIC https://catalogue.library.cern/legacy/2298096 BOOK MIGRATED 2298075 SzGeCERN 20210421205725.0 9783319474724 print version 9783319474724 electronic version electronic version 9783319474748 electronic version electronic version oai:cds.cern.ch:2298075 cerncds:BOOK EBL 4790540 eng QA75.5-76.95 004.6 Kounev, Samuel Self-aware computing systems Cham Springer 2017 720 p ebook Preface -- Background -- Content -- Intended Readership -- Contents -- Contributors -- Part I Introduction -- 1 The Notion of Self-aware Computing -- 1.1 Introduction -- 1.2 Definition of Self-aware Computing -- 1.3 Previous Initiatives in Self-aware Computing -- 1.3.1 Self-awareness in Artificial Intelligence -- 1.3.2 Engineering Self-aware Systems -- 1.3.3 Self-awareness in Pervasive Computing -- 1.3.4 Systems with Decentralized Self-awareness -- 1.3.5 Computational Self-awareness -- 1.4 A Concept of a Self-aware Learning and Reasoning Loop -- 1.5 Conclusion -- References -- 2 Self-aware Computing Systems: Related Concepts and Research Areas -- 2.1 Introduction -- 2.2 Control -- 2.3 Artificial Intelligence -- 2.3.1 Overview of Agents and Multi-agent Systems -- 2.3.2 Comparison with Self-aware Computing -- 2.4 Autonomic Computing -- 2.5 Organic Computing -- 2.6 Service-Based Systems and Cloud Computing -- 2.6.1 Service-Based Systems -- 2.6.2 Cloud Computing -- 2.6.3 Comparison with Self-aware Computing -- 2.7 Self-organizing Systems -- 2.7.1 Overview of Self-organizing Systems -- 2.7.2 Cross-pollination Opportunities with Self-aware Computing -- 2.8 Self-adaptive Systems -- 2.8.1 Overview of Basic Self-adaptive Systems -- 2.8.2 Anticipatory Self-adaptive Systems -- 2.9 Reflective Computing -- 2.10 Models@run.time and Reflection -- 2.11 Situation-Aware Systems and Context Awareness -- 2.12 Symbiotic Cognitive Computing -- 2.13 Auto-tuning -- 2.14 Constructive Definition -- 2.15 Summary -- References -- 3 Towards a Framework for the Levels and Aspects of Self-aware Computing Systems -- 3.1 Introduction -- 3.1.1 Why Consider Types of Self-awareness in Computing Systems? -- 3.1.2 Summary of This Chapter -- 3.2 Fundamentals, Inspiration, and Interpretations in Computing -- 3.2.1 What Is Self-awareness? -- 3.2.2 Interpretations and Applications. 3.3 A Conceptual Framework -- 3.3.1 Overarching Levels of Self-awareness -- 3.3.2 Aspects of Reflective and Meta-reflective Self-awareness -- 3.3.3 Domain of Self-awareness -- 3.3.4 Putting It All Together -- 3.4 Self-awareness and Goals -- 3.5 Challenges -- References -- 4 Reference Scenarios for Self-aware Computing -- 4.1 Introduction -- 4.2 Rationale -- 4.3 Adaptive Sorting -- 4.3.1 Scenario -- 4.3.2 Key Questions -- 4.4 Data Center Resource Management -- 4.4.1 Scenario -- 4.4.2 Key Questions -- 4.5 Cyber-Physical Systems -- 4.5.1 Thermostat -- 4.5.2 Smart Home -- 4.5.3 Smart Micro-grid -- 4.5.4 System of Autonomous Shuttles -- 4.6 Conclusion -- References -- Part II System Architectures -- 5 Architectural Concepts for Self-aware Computing Systems -- 5.1 Introduction -- 5.2 Preliminaries -- 5.2.1 Running Example: Smart Home -- 5.2.2 Architectural Modeling with UML -- 5.2.3 Self-awareness Terminology and Framework -- 5.3 Architectural Elements for Self-awareness -- 5.3.1 System, Environmental Context, and Modules -- 5.3.2 Reflective and Prereflective Processes -- 5.3.3 Awareness Models, Empirical Data (Models), and Goal Models -- 5.4 Architectural Relations for Self-awareness -- 5.4.1 Data Flow Related to Self-awareness -- 5.4.2 Awareness and Expression Links -- 5.5 Self-awareness and Architecture -- 5.5.1 Self-awareness: Awareness of the Context -- 5.5.2 Self-awareness: Awareness of Its Own Elements -- 5.5.3 Self-loops and Cyclic Self-awareness -- 5.5.4 Meta-Self-awareness -- 5.6 Discussion -- 5.6.1 Architectural Views -- 5.6.2 Coverage -- 5.7 Conclusion -- References -- 6 Generic Architectures for Individual Self-aware Computing Systems -- 6.1 Introduction -- 6.2 Preliminaries -- 6.2.1 Running Example: Smart Home -- 6.2.2 Self-awareness Terminology, Framework, and Notation -- 6.3 Pre-reflective Self-awareness. 6.3.1 Encapsulated Access to the Pre-reflective Subsystem -- 6.3.2 Direct Access to the Pre-reflective Subsystem -- 6.3.3 Summary -- 6.4 Reflective Self-awareness -- 6.4.1 Local Reflection -- 6.4.2 Hierarchical and Centralized Reflection -- 6.4.3 Coordinated Reflection -- 6.4.4 Summary -- 6.5 Meta-reflective Self-awareness -- 6.5.1 Hierarchical and Centralized Meta-Reflection -- 6.5.2 Hierarchical and Centralized Meta--Meta-Reflection -- 6.5.3 Summary -- 6.6 Discussion -- 6.6.1 Control Schemes -- 6.6.2 Architectural Styles: The External and Internal Approaches -- 6.7 Conclusion -- References -- 7 Architectures for Collective Self-aware Computing Systems -- 7.1 Introduction -- 7.1.1 Chapter Overview -- 7.1.2 Chapter Organisation -- 7.1.3 Meta-Architecture Overview -- 7.2 Definitions and Notations for Collectives -- 7.3 The Self-awareness of Collectives -- 7.3.1 General Considerations -- 7.3.2 Collective Self-awareness and Self-aware Collectives -- 7.3.3 Approaches for Achieving Self-aware Collectives -- 7.4 Self-awareness Levels -- 7.4.1 Collective Self-awareness Based on System Self-awareness -- 7.4.2 Dynamic Self-awareness Changes in the Collective -- 7.5 Types of Relations -- 7.5.1 Goals -- 7.5.2 Knowledge -- 7.5.3 Acting -- 7.6 Organisation Patterns -- 7.6.1 Overview of Organisation Patterns -- 7.6.2 Hierarchical Collective -- 7.6.3 Peer-to-Peer Collective -- 7.6.4 Stigmergic Collective -- 7.6.5 Pattern Composition and Encapsulation -- 7.7 Developing the Architecture of Collective Self-aware Systems -- 7.7.1 Viable Architectures -- 7.7.2 Navigating the Meta-Architectural Space -- 7.8 Conclusions -- References -- 8 State of the Art in Architectures for Self-aware Computing Systems -- 8.1 Introduction -- 8.2 Reference Architectures -- 8.2.1 MAPE-K Loop -- 8.2.2 Reference Architecture for Self-managed Systems. 8.2.3 Reference Architecture for Models@run.time Systems -- 8.2.4 Organic Computing -- 8.2.5 Requirements-Awareness -- 8.2.6 Decentralized Architectures from AI and MAS -- 8.3 Architectural Frameworks and Languages -- 8.3.1 Reflective Architectures -- 8.3.2 Mechatronic UML -- 8.3.3 MUSIC -- 8.3.4 ExecUtable RuntimE MegAmodels (EUREMA) -- 8.3.5 Multi-Quality Auto-Tuning (MQuAT) -- 8.3.6 Descartes Modeling Language (DML) -- 8.4 Open Challenges -- 8.5 Conclusion -- References -- Part III Methods and Algorithms -- 9 Self-modeling and Self-awareness -- 9.1 Introduction -- 9.1.1 Self-modeling -- 9.1.2 Motivation -- 9.2 Background -- 9.2.1 The DDDAS Program -- 9.2.2 Models@run.time -- 9.2.3 Situation Awareness -- 9.2.4 Reflection -- 9.3 CARS: An Extended Example -- 9.4 Modeling Issues -- 9.4.1 Modeling Questions -- 9.5 Data Analytics -- 9.5.1 Grammatical Inference -- 9.5.2 Other Mathematical Methods -- 9.5.3 Supporting Processes -- 9.6 Challenges -- 9.6.1 Language as a Challenge -- 9.6.2 The i-Room -- 9.7 Conclusions and Prospects -- References -- 10 Transition Strategies for Increasing Self-awareness in Existing Types of Computing Systems -- 10.1 Introduction -- 10.2 Capabilities and Functions of Self-aware Systems: An Overview -- 10.3 Computing Systems Analysis -- 10.3.1 Existing Distributed Systems Architectures -- 10.3.2 Service-Based Systems (SBSs) -- 10.3.3 Systems-of-Systems (SoSs) -- 10.3.4 Multiagent Systems (MASs) -- 10.3.5 Cloud Computing -- 10.3.6 Pervasive Computing -- 10.4 Transition Strategies -- 10.4.1 Transition Strategies in Service-Based Systems (SBSs) -- 10.4.2 Transition Strategies in Multiagent Systems (MASs) -- 10.5 Example of Transition Strategies: Smart Home Case Study -- 10.6 Conclusions and Open Challenges -- References -- 11 Synthesis and Verification of Self-aware Computing Systems -- 11.1 Introduction. 11.2 From Design-Time to Run-Time Synthesis of Self-aware Choreographies of Software Services -- 11.2.1 Setting the Context -- 11.2.2 The Need for Self-adaptation -- 11.2.3 Method for the Synthesis of Self-adaptable Choreographies -- 11.2.4 Dealing with Choreography Self-adaptation -- 11.2.5 Case Study -- 11.3 Synthesis of Self-adaptive Connectors Meeting Behavioral and Quality Requirements -- 11.3.1 QB-Synthesis: Quality and Behavioral Connector Synthesis -- 11.3.2 QB-Synthesis of Self-adaptive Connector -- 11.3.3 Open Issues -- 11.4 Quantitative Verification at Run-Time -- 11.4.1 Application to Self-aware Systems -- 11.4.2 Research Challenges -- 11.5 Parametric Verification -- 11.5.1 Parametric Markov Chains -- 11.5.2 State of the Art -- 11.5.3 Parameter Synthesis -- 11.5.4 Model Repair -- 11.6 Run-Time Verification and Probabilistic Models -- 11.7 Analysis and Synthesis of Self-adaptation Exploiting Environment Assumptions -- 11.7.1 Model Checking Stochastic Games -- 11.7.2 Reasoning About Self-adaptation Using Stochastic Games -- 11.7.3 From Design-Time Analysis to Run-Time Synthesis -- 11.8 Summary -- References -- 12 Self-adaptation for Individual Self-aware Computing Systems -- 12.1 Introduction -- 12.2 What Drives Adaptation? -- 12.2.1 Adapting to Changes in High-Level Goals -- 12.2.2 Adapting to Changes in the System -- 12.2.3 Adapting to Changes in the Environment -- 12.3 Adaptation Techniques -- 12.3.1 Control Theory -- 12.3.2 Machine Learning -- 12.3.3 Optimization and Operations Research -- 12.4 Adaptation Evaluation -- 12.5 Interaction of Different Adaptation Strategies -- 12.6 Conclusion -- References -- 13 Self-adaptation in Collective Self-aware Computing Systems -- 13.1 Introduction -- 13.2 Actions -- 13.2.1 Scenarios -- 13.2.2 Mitigating Undesirable Collective Behaviors -- 13.2.3 Capitalizing on Desirable Collective Behaviors. 13.3 Reasoning and Goals. EBL201712 Computing and Computers SzGeCERN BOOK Kephart, Jeffrey O Milenkoski, Aleksandar Zhu, Xiaoyun https://cds.cern.ch/auth.py?r=EBLIB_P_4790540 ebook n 201750 201712 21 PUBLIC https://catalogue.library.cern/legacy/2298075 BOOK MIGRATED 2298057 SzGeCERN 20210421205729.0 9783319494050 print version 9783319494050 electronic version electronic version 9783319494074 electronic version electronic version oai:cds.cern.ch:2298057 cerncds:BOOK EBL 4775476 eng QA75.5-76.95 302.23072 Lugmayr, Artur Information systems and management in media and entertainment industries Cham Springer 2017 338 p ebook International series on computer entertainment and media technology Preface -- Contents -- Content, Service, Application, and Artistic Viewpoint on IS&M in Media and Creativity Industries -- 1 An ARTISAN Perspective for Software Development, Commercialisation and Artistic Co-creation: A Case Study -- Abstract -- 1 Introduction -- 1.1 The Creative Knowledge Environment -- 2 Motivation -- 3 Methodology -- 4 Findings -- 4.1 Views of the Platforms -- 4.2 Views of Users -- 4.3 Technical Knowledge -- 4.4 Artistic Experience -- 4.5 Collaboration and Co-creation -- 5 Considerations for Product Development -- 6 Industry Context -- 7 User-Consumer Demands for Purchasing Software -- 8 Conclusion -- 8.1 Check Your Biases -- 8.2 Check Your Parameters -- Acknowledgements -- References -- 2 Multi-Screen Viewing and Contents: Understanding Connected TV -- Abstract -- 1 Introduction -- 1.1 Literature Review -- 1.2 Historical Background -- 1.3 Technological Framework -- 2 Methodology and Research Questions -- 3 Results: Screens and Contents -- 4 Conclusions -- Acknowledgments -- References -- Other Resources -- 3 Information and Communication Technology for Government by Design: The New Digital Media, Actors, Creative Influences, and Fields of Play -- Abstract -- 1 Introduction -- 2 The Medium and the Message: Management Information Systems from eMedia to eGovernance -- 3 Research Methodology -- 4 Interviews as a Primary Source of Evidence -- 5 Communication by Design: e-Government, Its Definition and Scope Within the Global eMedia Ecosystem -- 6 Innovatively, Yours: Digital Storytelling and Electronic Service Delivery Models in Government -- 7 Design by Information: Understanding Actor Behaviour -- 8 From Human Factors to Human Actors: The Psychology Behind Human-Computer System Design and Innovation -- 9 The Games People Play: The Ecology of Games as an Analytical Framework. 10 Assessing Project Outcome: The Design-Actuality Gap Model -- 11 Digitising Property Tax Records in Bangalore, India: Examining Actor Attitudes Towards, and Perceptions of, Big Data -- 12 Identifying Games That Impact the Uptake and Management Of ICT-Based Systems Architecture: Human-Technology Interactions Within Bureaucracies -- 13 Playful Interaction, Serious Games: Collaborative Production, Process Re-engineering, and Public Sector Reform -- 14 The Case of the Greater Bangalore City Municipal Corporation (BBMP): Digital Content, Material Gains -- 15 What's in a Game? Discussing and Analysing e-Government Success and Failure Within the Context of Management Information Systems Research -- 16 Government and the eMedia Industry: The Consequences of Innovative Change Management for the Strategic Political Environment -- 17 Conclusion -- Key Terms and Definitions -- References -- Additional Reading -- Management, Marketing, Business Aspects and Strategic Importance of IT and IS&M in Creative eMedia Industries -- 4 The Strategic Role of Communication Standards for Media Companies -- Abstract -- 1 Standards and Digital Communication -- 2 The Economics of Standards -- 3 Standards as a Competitive Instrument -- 4 Standards as a Cost-Reduction Instrument -- 5 Conclusion and Outlook -- References -- 5 "Own-It": Managing Intellectual Property Processes via the Activity Table in Creative Industries -- Abstract -- 1 Introduction -- 2 Ex Ante: The Dubious Relationship Between Intellectual Property and Creative Industries -- 3 Intermezzo: Briefly on Information Systems and Management in Creative eMedia Industries -- 4 Business Process Modelling and the Idea of the Activity Table -- 5 Process of Intellectual Property Management -- 6 The Use of the Activity Table as a Tool of Innovation Property Protection Processes' Optimization in Creative Industries. 7 Conclusion: "Own-It"? -- Acknowledgments -- References -- 6 Creative Co-production: The Adaption of an&#xa0;Open Innovation Model in Creative Industries -- Abstract -- 1 Introduction -- 2 Theoretical Foundations -- 2.1 Open Innovation Business Model -- 2.2 Co-creation Network -- 3 Creative Co-production -- 4 Creative Co-production Model -- 4.1 Co-production Environment -- 4.2 Experiential Communication -- 4.3 Network Coordination -- 4.4 Creative Resources -- 5 Conclusion -- References -- Social Media, Consumer, Audience, Human-Computer-Interaction, and User Viewpoints -- 7 Marshall McLuhan, Affordance, Mapping, and Human Computer Interaction in Interactive Media -- Abstract -- 1 Human Computer Interaction (HCI) and Interactive Media -- 2 McLuhan -- 3 Context -- 4 Culture -- 5 Affordance -- 6 Mapping -- 7 Communication Theory and Social Constructionism -- 8 Mapping as a Characteristic of Affordance -- 8.1 Arbitrary Mapping -- 8.2 Abstract Mapping -- 8.3 Conceptual Mapping -- 8.4 Relational Mapping -- 8.5 Direct Mapping -- 8.6 Transformation Complexity -- 9 Using McLuhan's Grid to Interpret Interactive Media -- References -- 8 Towards a Personalised and Context-Dependent User Experience in Multimedia and Information Systems -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Applications in Music Information Retrieval -- 2.1.1 Audio Mood Estimation -- 2.1.2 Music Visualization -- 2.2 Information and Multimedia Systems -- 2.2.1 Perspectives -- 2.2.2 Human Computer Interaction -- 3 Methodology -- 3.1 Preliminary Survey -- 3.2 Main Survey -- 3.2.1 Demographic Data -- 3.2.2 Part 2: Gathering Participant's Ratings of Mood, Emotions and Colors -- 3.2.3 Part Three: Gathering Participants' Ratings on Emotions and Colors in Music -- 3.3 Evaluation of Survey and Interfaces -- 3.3.1 Evaluation of MoodStripe and MoodGraph Interfaces -- 4 Analysis. 8 4.1 Demographic Data -- 4.2 Analysis: Music, Colors and Emotions -- 4.2.1 Emotional Mediation of Color and Music -- 4.3 Applying Machine Learning -- 4.3.1 Mood Estimation -- 4.3.2 Predicting Associations Between Colors and Emotions in the Valence-Arousal Space -- 5 Applications in Multimedia and Information Systems -- 6 Conclusions and Future Work -- References -- 9 Using Social Media as a Mechanism to Consolidate the Organizational Memory-Insights from the Attention Based View of the Firm Theory -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 3 Theoretical Foundation -- 3.1 Information Technologies as Enhancers of Knowledge: The Social Media -- 3.2 The Organizational Memory (OM) -- 3.3 The Attention Focus and Its Influence on the Decision-Making Process -- 4 Case Studies Analysis -- 4.1 Social Media as an Enhancer of the Focus of Attention and a Mechanism for the Creation, Storage, Dissemination and Application of Knowledge in the Organization -- 4.2 Social Media as an Effective Facilitator Mechanisms for Organizational Communication and for Guiding Attention to the Environmental Aspects Regarded as Relevant for the Success of Organization -- 4.3 Social Media as Effective Mechanisms of Institutionalization of Experiences and Meanings in Stable Structures that the Effective Distribution of Attention in the Organization -- 4.4 Social Media as Favoring the Situation and Structured Distribution of Attention in Developing Effective Organizational Memory -- 5 Discussion -- 6 Conclusion -- Acknowledgments -- Appendix: Positive Actions Applied or Expected with Implantation and Use of the Social Media in Organizations Cited in Case Studies Selected -- References. 8 Technology Perspective of the Usage of Media in IS&M in Media Industry and the Application of Media in IS&M across Domains: Technology, Processes, Workflows, Infrastructures and Global Production Pipelines -- 10 Systems Analysis as a Basis for Designing IT in the Media Industry -- Abstract -- 1 Introduction -- 2 IT as Basic Infrastructure in the Digital World -- 3 IT as a Research Focus in the Domain of the Media Industry -- 4 Processes and Instruments for Designing IT -- 4.1 Systems Analysis as a Central Task -- 4.2 Data and Process Modelling Are an Essential Part of Systems Analysis -- 4.3 Reference Models as an Instrument -- 5 Systems Analysis and Modelling Based on an Example from a Rights and Licensing Department at a Book Publishing Company -- 6 Summary and Outlook -- Appendix -- References -- 11 Digital Production Pipeline for Virtual Cultural Heritage Applications Using Interactive Storytelling -- Abstract -- 1 Introduction -- 1.1 Motivation -- 1.2 Related Work -- 2 Data Capturing and Processing -- 2.1 Data Capturing -- 2.2 Data Processing -- 2.3 3D Model Generation -- 3 Data Storage and Integration -- 3.1 Advanced 3D Content Storage System, 3D Content and Metadata -- 3.2 Advanced Data Storage and Access Approaches -- 4 Application: Organizing and Querying 3D Content -- 5 Conclusion -- References -- 12 Automated Augmented Reality Content Creation for Print Media -- Abstract -- 1 Introduction -- 1.1 Motivation -- 1.2 Methodology and Paper Structure -- 2 Related Work -- 2.1 Augmented Reality and Print Media -- 2.2 AR App Generation Tools -- 2.3 Research Contribution -- 3 Architecture of the System -- 3.1 Publishing System -- 3.2 Recommender System -- 3.3 External Services -- 3.4 BPaaS Platform -- 3.5 AR App -- 4 Implementation Design -- 4.1 Knowledge Framework (Domain Ontology) -- 4.2 Use Case: Editorial Articles. 8 4.3 The Recommender System as an Automated Search Engine for AR Contents. EBL201712 Commerce, Economics, Social Science SzGeCERN BOOK Stojmenova, Emilija Stanoevska, Katarina Wellington, Robert https://cds.cern.ch/auth.py?r=EBLIB_P_4775476 ebook n 201750 201712 21 PUBLIC https://catalogue.library.cern/legacy/2298057 BOOK MIGRATED 2298056 SzGeCERN 20180822202549.0 9783319428901 (electronic bk.) electronic version 9783319428895 electronic version EBL 4774810 eng R1 610.28 Kollak, Ingrid Safe at home with assistive technology Cham Springer 2017 230 p Springerbriefs in applied sciences and technology Acknowledgements -- Contents -- 1 Prerequisites: Assistive Technologies Between User Centered Assistance and 'Technicalization' -- References -- 2 Living Safely and Actively in and Around the Home: Four Applied Examples from Avatars and Ambient Cubes to Active Walkers -- Abstract -- 2.1 Introduction -- 2.2 DALIA-Assistant for Daily Life Activities at Home -- 2.2.1 Overview and Aims -- 2.2.2 Implementation -- 2.2.3 Evaluation and Feedback -- 2.2.4 Conclusion and Lessons Learnt -- 2.3 RelaxedCare-Unobtrusive Connection in Care Situations -- 2.3.1 Overview and Aims -- 2.3.2 Implementation -- 2.3.3 Evaluation and Feedback -- 2.3.4 Conclusion and Lessons Learned -- 2.4 Confidence-Mobility Safeguarding Assistance Service with Community Functionality for People with Dementia -- 2.4.1 Overview and Aims -- 2.4.2 Evaluation and Feedback -- 2.4.3 Conclusion and Lessons Learned -- 2.5 iWalkActive-The Active Walker for Active People -- 2.5.1 Overview and Aims -- 2.5.1.1 Why iWalkActive? -- 2.5.1.2 Problems Identified by the End Users -- 2.5.2 Implementation -- 2.5.2.1 E-drive -- 2.5.2.2 Localisation -- 2.5.2.3 Seamless Transition -- 2.5.2.4 Open Data Integration -- 2.5.2.5 Navigation -- 2.5.3 Evaluation and Feedback -- 2.5.3.1 Lab Tests -- 2.5.3.2 User Field Trials -- 2.5.4 Conclusion and Lessons Learned -- Acknowledgments -- References -- 3 Using Gaze Control for Communication and Environment Control: How to Find a Good Position and Start Working -- Abstract -- 3.1 Who Can Use Gaze Control? -- 3.2 Why Is Communication Important? -- 3.3 How Gaze Control Works -- 3.4 Gaze Control as an Access Method -- 3.5 What Are the Prerequisites for Using Gaze Control? -- 3.6 How to Achieve Good Positioning -- 3.7 What to Watch Out for in Tests -- 3.8 How Does Environment Control Work? -- 3.9 Training Materials for Gaze Control -- 3.10 Summary -- Acknowledgments. References -- 4 Caring TV-for Older People with Multimorbidity Living Alone: Positive Feedback from Users in Berlin and Rural Mecklenburg-West Pomerania -- 4.1 Background -- 4.2 Selected Research Results on the Use of Technology -- 4.3 Our Study -- 4.3.1 Group Discussions on Specific Topics for Caring TV -- 4.3.2 Acceptance of Tablet PCs -- 4.3.3 Study Aim and Questions that Arose -- 4.3.4 Methods -- 4.3.4.1 Sample Recruitment -- 4.3.5 Data Collection -- 4.3.6 Data Analysis -- 4.3.7 Ethics -- 4.3.8 The Caring TV Intervention -- 4.3.9 Selected Findings of Our Interviews -- 4.3.9.1 Previous Experience with the Technology -- 4.3.10 Scheduling of the Shows -- 4.3.11 Usefulness in Everyday Life -- 4.3.12 Problems -- 4.3.13 The Future -- 4.4 Conclusion -- Acknowledgments -- References -- 5 Arm Rehabilitation at Home for People with Stroke: Staying Safe: Encouraging Results from the Co-designed LifeCIT Programme -- 5.1 Rationale -- 5.2 Rehabilitation Mechanisms Promoting Recovery -- 5.3 Technology at Home-Design and Implementation -- 5.4 Perceptions of Existing and Future Arm Rehabilitation Devices -- 5.5 LifeCIT: An Example of an Upper Limb Rehabilitation Technology-Research Evidence for CIMT and Clinical Use -- 5.5.1 Addressing Translation Factors: Development of Glove-Safety, Comfort and Evidence -- 5.5.1.1 LifeGuide-Motivational Software -- 5.5.2 Co-design of LifeCIT with Patients, Carers and Therapists in a Clinical/Home Environment -- 5.5.3 Research Trial: LifeCIT in the Home -- 5.5.3.1 Encouraging Adherence -- 5.5.3.2 Method for the Phase II Exploratory Trial -- 5.5.3.3 Participants -- 5.5.3.4 Inclusion Criteria -- 5.5.3.5 Exclusion Criteria -- 5.5.3.6 Outcome Measures -- 5.5.3.7 Assessments -- 5.5.3.8 Intervention -- 5.5.3.9 Data and Statistical Analysis -- 5.6 Results -- 5.6.1 Future for LifeCIT -- 5.7 Discussion -- References. 6 Telemonitoring in Home Care: Creating the Potential for a Safer Life at Home -- Abstract -- 6.1 Introduction -- 6.2 Telemonitoring in Health Care -- 6.3 Projects and Sample Applications -- 6.3.1 Telemonitoring for Fall Prevention -- 6.3.2 Telemonitoring for Hypertension, Heart Failure and Cardiac Arrhythmia -- 6.3.3 Diabetes Mellitus -- 6.4 Outlook -- References -- Online Sources -- 7 Empowering the Elderly and Promoting Active Ageing Through the Internet: The Benefit of e-inclusion Programmes -- 7.1 Introduction -- 7.2 The Internet as a Tool to Empower the Elderly -- 7.2.1 The Internet as an Information Source for Older People -- 7.2.2 How Older People Interact Online -- 7.2.3 Older People's Relationship with Online Administrative and e-commerce Solutions -- 7.2.4 Leisure and Entertainment on the Internet for Older People -- 7.3 Health as the Main Concern for Older People When Surfing the Internet -- 7.4 Conclusions -- Acknowledgments -- References -- 8 Use and Development of New Technologies in Public Welfare Services: A User-Centred Approach Using Step by Step Communication for Problem Solving -- Abstract -- 8.1 Contextual Factors in the Assistive Technology Area -- 8.1.1 Health, Illness, Disability -- 8.1.2 State of Development of Assistive Technologies -- 8.2 Key Concepts for Problem Solving -- 8.2.1 Problems-Problem Analysis -- 8.2.2 Problems-Problem Evaluation -- 8.2.3 Goals -- 8.2.4 Resources -- 8.2.5 Needs -- 8.2.6 Resource Balance Sheet -- 8.3 Success Factors for Developing and Implementing Technology -- 8.3.1 Ethical Reflections -- 8.3.2 Sustainability -- 8.3.3 Security and Risk -- 8.3.4 Transparency and Information Flow -- 8.4 Conclusion -- References -- 9 Parents' Experiences of Caring for a Ventilator-Dependent Child: A Review of the Literature -- Abstract -- 9.1 Background -- 9.2 The Purpose of the Review -- 9.3 Materials and Methods. 9.4 Description and Evaluation of the Quality of the Material -- 9.5 Data Analysis -- 9.6 Results -- 9.6.1 Struggling with Life Management Challenges -- 9.6.2 Maintaining Balance Within the Family -- 9.6.3 Turning to the Everyday Resources -- 9.7 Discussion -- 9.8 Conclusions -- 9.9 Recommendations for Nursing Practice -- References -- 10 Evaluation and Outcomes of Assistive Technologies in an Outpatient Setting: A Technical-Nursing Science Approach -- Abstract -- 10.1 Introduction -- 10.2 Classification of Assistive Technologies -- 10.3 Evaluating Assistive Technologies -- 10.3.1 Definition of the Term 'Evaluation' -- 10.3.2 Development and Evaluation of AT from a Technical Perspective -- 10.3.3 Evaluation from a Health Care Science Perspective -- 10.3.4 Synthesis of a Holistic Evaluation Approach -- 10.4 Assessment Instruments to Capture Domestic Dimensions -- 10.4.1 Environmental Factors -- 10.4.2 Informal and Formal Carers -- 10.5 Conclusion -- References -- 11 Assistive Technology for People with Dementia: Ethical Considerations -- Abstract -- 11.1 Introduction -- 11.2 The Types and Characteristics of AT for Safety -- 11.3 Ethical Considerations -- 11.3.1 Scenario -- 11.3.2 Dilemma -- 11.4 Recommendations and Conclusions -- References -- CVs of Authors -- Literature. 9783319428895 print version oai:cds.cern.ch:2298056 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4774810 ebook ebook EBL201712 Health Physics and Radiation Effects SzGeCERN BOOK n 201750 201712 21 PUBLIC BOOK DELETED 2298017 SzGeCERN 20210421205734.0 9783319439006 print version 9783319439006 electronic version electronic version 9783319439013 electronic version electronic version oai:cds.cern.ch:2298017 cerncds:BOOK EBL 4769292 eng GE1-350 003.3 Furze, James N Mathematical advances towards sustainable environmental systems Cham Springer 2016 355 p ebook Foreword: The Vocabulary of Nature -- Preface: From the Coordinating Editor -- Contents -- Contributors -- Chapter 1: Mathematical Advances Towards Sustainable Environmental Systems: Context and Perspectives -- 1.1 Introduction -- 1.2 Chapter Outlines -- References -- Chapter 2: Biological Modelling for Sustainable Ecosystems -- 2.1 Introduction -- 2.2 Biogeographic studies, Digital Elevation Models, Climatic data and Biological Records -- 2.3 Mathematic Detail of Algorithmic Structures -- 2.4 Genetic Dispersal/Stochastic Methods -- 2.5 Functional Approximation Algorithms/Using Continual and Discrete Data for Informative Expansion -- 2.6 Case Studies: Plant Strategies, Life Forms and Metabolism -- 2.7 Heuristic and Optimal Search Capability and Application to Biological, Chemical and Physical Data -- 2.8 Conclusions/Further Directions -- References -- Chapter 3: On the Dynamics of the Deployment of Renewable Energy Production Capacities -- 3.1 Introduction -- 3.2 Energy Return on Energy Investment -- 3.3 MODERN: A Discrete-Time Model of the Deployment of Renewable Energy Production Capacities -- 3.3.1 Time -- 3.3.2 Assumption Regarding the Energy Produced from Nonrenewable Sources -- 3.3.3 Energy from Renewable Origin -- 3.3.4 Dynamics of Deployment of Energy Production Means -- 3.3.5 Energy Costs for Growth and Long-Term Replacement -- 3.3.6 Total Energy and Net Energy to Society -- 3.3.7 Constraints on the Quantity of Energy Invested for Energy Production -- 3.3.8 Assumptions on Growth and Replacement Energy Costs -- 3.4 Simulation Results: Case Study for Photovoltaic Panels -- 3.4.1 Variable Initialization -- 3.4.2 Growth Scenario -- 3.4.3 Depletion of Nonrenewable Resources Scenario -- 3.4.4 Values of ERoEI and Lifetime -- 3.4.5 Typical Runs -- 3.5 On the Potential Benefits of Using Control Strategies -- 3.6 From Modelling to Society. 3.7 Conclusions -- References -- Chapter 4: Water System Modelling -- 4.1 Introduction -- 4.2 Water Systems Modelling for Quantity and Quality -- 4.2.1 AGNPS -- 4.2.2 ANSWERS -- 4.2.3 CASC2D -- 4.2.4 MIKESHE -- 4.2.5 DWSM -- 4.2.6 KINEROS -- 4.2.7 HSPF -- 4.2.8 SWAT -- 4.2.9 PRMS -- 4.2.10 HEC-HMS -- 4.2.11 HEC-RAS -- 4.2.12 WEAP -- 4.3 Time and Space Scale -- 4.3.1 Time Scales in Modelling -- 4.3.1.1 Event-Based Models -- 4.3.1.2 Continuous Models -- 4.3.2 Space Scale in Modelling -- 4.3.3 Mathematical Bases for the Selected Models -- 4.4 Model Calibration and Verification -- 4.4.1 Root Mean Square Error (RMSE) -- 4.4.2 Coefficient of Determination R2 -- 4.4.3 Chi-square -- 4.4.4 Nash-Sutcliffe Coefficient -- 4.4.5 Index of Agreement d -- 4.4.6 Nash-Sutcliffe Efficiency with Logarithmic Values ln E -- 4.4.7 Modified Forms of E and d -- 4.4.8 Relative Efficiency Criteria Erel and drel -- 4.4.9 Measures of Efficiency -- 4.5 Discussion -- 4.6 Selecting a Model for Estimating Nutrient Yield and Transportation During Flash Floods and Wet Seasons -- 4.7 Selecting a Model for Estimating Nutrient Yield and Transportation During Regular Flow -- 4.8 Summary and Concluding Remarks -- References -- Chapter 5: Introduction to Biodiversity -- 5.1 Introduction -- 5.2 Perspectives/Perceptions -- 5.3 Significance -- 5.4 Challenges to Documentation -- 5.4.1 Mentality and Motivation in Relation to Cost Versus Benefit -- 5.4.2 Dimension/Scale -- 5.4.2.1 Accessibility -- 5.4.3 Interest/Incentive -- 5.4.4 Level of Expertise and Distribution -- 5.4.5 Estimates Down Through History -- 5.5 Extinction Rate -- 5.5.1 Role of Scientific Collections -- 5.6 Conclusion -- References -- Chapter 6: Challenges to Conservation -- 6.1 Challenges -- 6.2 Separation Anxiety -- 6.3 Selective Acceptance of Science -- 6.4 Species/Area Relationships and Sustainability. 6.5 Human Behavior in Light of Evolutionary Pressures -- 6.6 A Sense of Entitlement Due to Religious Beliefs -- 6.7 Conclusion -- References -- Chapter 7: Biogeochemistry in the Scales -- 7.1 Introduction -- 7.2 Loose Definitions and the Problems of Scale -- 7.2.1 Views of Experimental Scale Across Scientific Disciplines -- 7.2.2 Problems of Experimental Scale -- 7.3 Mathematical Modelling Approaches -- 7.3.1 Top-Down and Bottom-Up Modelling -- 7.3.2 Middle-Out Modelling -- 7.3.3 Example of Biogeochemical Integration of Top-Down, Bottom-Up and Middle-Out Modelling -- 7.4 How Do We Model Complex Ecosystems? -- 7.4.1 Biodiversity -- 7.4.2 Biogeochemistry -- 7.4.3 Potential Solutions (Principle of Model Systems in Ecology) -- 7.5 A Way Forward for Integrating Biogeochemical and Ecosystem Models Using Natural Microcosms -- 7.5.1 Mathematical Models -- 7.5.2 Ecology Models -- 7.5.3 Biogeochemical Models -- 7.6 Summary -- References -- Chapter 8: Plant Metabolites Expression -- 8.1 Introduction -- 8.2 Metabolic Regulation -- 8.2.1 Complexity of Metabolism -- 8.2.2 Metabolic Control by Compartmentalization -- 8.2.3 Metabolic Control by Regulation of Enzyme Activities -- 8.3 Role of Biotic and Abiotic Stresses in Plant Metabolite Expression -- 8.4 Osmotic Adjustment Imposed by Stress and Metabolic Compensation Mechanisms -- 8.4.1 Carbohydrate Metabolism -- 8.4.2 The Active Role of Polyols in Protective Mechanisms -- 8.4.3 Amines -- 8.4.4 Glycine Betaine -- 8.5 Utilizing Functional Genomics Approaches to Elucidate Plant Stress Responses -- 8.5.1 Signal Transduction Involved in Stress-Induced Metabolic Changes -- 8.6 Plant Hormones Have Pivotal Roles in Plant Stress Signaling -- 8.6.1 Abscisic Acid -- 8.6.2 Gibberellic Acid -- 8.6.3 Jasmonates -- 8.7 Transcriptional Regulation of Secondary Metabolites -- 8.7.1 Terpenoids -- 8.7.2 Alkaloids -- 8.7.3 Flavonoids. 8.8 Transcription Factors Involved in Secondary Metabolism -- 8.8.1 MYB -- 8.8.2 bHLH -- 8.9 Conclusion -- References -- Chapter 9: Tools from Biodiversity: Wild Nutraceutical Plants -- 9.1 Introduction -- 9.2 Plant Metabolite Expression -- 9.3 Dioscorea at Similipal Biosphere Reserve Forest: Indigenous Uses -- 9.4 Dioscorea Species: Future Food and Medicine -- 9.5 Nutraceutical Importance of Dioscorea Species -- 9.6 Active Compounds of Dioscorea Species and Pharmacology -- 9.7 Metabolic Pathways of Active Compounds: Biosynthesis, Precursor Molecules of Active Compounds, and Elicitation -- 9.8 Strategy to Express, Over-Express the Metabolites: Application of Conventional/Molecular Tools -- 9.9 Findings and Future Prospects -- References -- Chapter 10: The Effect of Climate Change on Watershed Water Balance -- 10.1 Introduction -- 10.2 Case Study of Zayandeh-Rud River Basin -- 10.3 Methodology -- 10.3.1 Weighting of the GCM Models -- 10.3.2 Definition of Climate Change Patterns -- 10.3.3 Downscaling of the Large-Scale GCM Outputs -- 10.3.4 Rainfall-Runoff Modelling -- 10.3.5 Effect of Climate Change on Water Consumption -- 10.3.6 Water Resources Sustainability Index -- 10.4 Results -- 10.4.1 GCM Models Weighting -- 10.4.2 Downscaling of the Temperature and Precipitation -- 10.4.3 Effects of Climate Change on Temperature -- 10.4.4 Effects of Climate Change on Precipitation -- 10.4.5 Effects of Climate Change on Agriculture Water Demand -- 10.4.6 Effects of Climate Change on Surface Water Resources -- 10.4.7 Changes in Domestic and Industrial Water Demand -- 10.4.8 Water Resources Sustainability -- 10.5 Conclusion -- References -- Chapter 11: Modelling Challenges for Climate and Community Resilient Socioecological Systems -- 11.1 Introduction -- 11.2 Limitations of Existing Approaches for Modelling Climatic Systems. 11.2.1 Different Scales of Description, Prediction and Prescription -- 11.2.2 Dynamic Ecosystems -- 11.2.3 Community Heterogeneity -- 11.2.4 Socioecological Resilience -- 11.2.5 Dealing with Uncertainty -- 11.3 The Socioecological Paradigm Revisited: Modelling Imperatives -- 11.4 Case Study of Coping with Climate Change in Flood-Prone Regions of India -- 11.5 Conclusions and Further Directions -- References -- Chapter 12: Introduction to Robotics-Mathematical Issues -- 12.1 Introduction on Robotics -- Robot Types and Applications -- 12.2 Robot Kinematic Modelling -- 12.3 Robotic Dynamics: Modelling and Formulations -- 12.4 Path and Trajectory Planning in Robotics -- 12.4.1 Third-Order Polynomial Trajectory Planning -- 12.4.2 Linear Segments with Parabolic Blends -- 12.5 Classical Control Synthesis and Design -- 12.5.1 PD Position Control -- 12.5.2 PD Control of Position with Gravity Compensation -- 12.5.3 Control of the Robot Based on Inverse Dynamics -- 12.5.4 Control Based on the Transposed Jacobian Matrix -- 12.5.5 Control Based on the Inverse Jacobian Matrix -- 12.5.6 Control of the Contact Force -- 12.5.6.1 Linearization of a Robot System Through Inverse Dynamics -- 12.5.6.2 Force Control -- 12.6 Robot Vision and Visual Servoing -- 12.6.1 Robot Vision -- 12.6.2 Robot Control Using Visual Servoing Technique -- 12.7 Conclusion -- References -- Chapter 13: Intelligent and Robust Path Planning and Control of Robotic Systems -- 13.1 Introduction -- 13.2 Intelligent Control -- 13.2.1 Neural Network-Based Control for Robotics -- 13.2.2 Fuzzy Logic-Based Control for Robotics -- 13.2.3 Genetic Algorithms in Robotic Systems -- 13.2.4 Hybrid Intelligent Approach in Robotic Systems -- 13.3 Iterative Learning Control -- 13.4 Robust Control -- 13.4.1 Robust H Controller -- 13.4.2 Robust Sliding Mode Control (SMC) -- 13.5 Swarm Robotics System. 13.6 Case Studies. EBL201712 Computing and Computers SzGeCERN BOOK Swing, Kelly Gupta, Anil K McClatchey, Richard H Reynolds, Darren M https://cds.cern.ch/auth.py?r=EBLIB_P_4769292 ebook n 201750 201712 21 PUBLIC https://catalogue.library.cern/legacy/2298017 BOOK MIGRATED 2298013 SzGeCERN 20180410204929.0 9783110424904 (electronic bk.) electronic version 9783110430011 electronic version EBL 4768910 eng GE45.D37.Z436 2017 519 Zhang, Zhihua Environmental data analysis methods and applications Berlin De Gruyter 2017 334 p 9783110430011 print version oai:cds.cern.ch:2298013 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4768910 ebook ebook EBL201712 Mathematical Physics and Mathematics SzGeCERN BOOK n 201750 201712 21 PUBLIC BOOK DELETED 2298008 SzGeCERN 20210421205736.0 9783319492704 print version 9783319492704 electronic version electronic version 9783319492711 electronic version electronic version oai:cds.cern.ch:2298008 cerncds:BOOK EBL 4768381 eng QC71.82-73.8 621.042 Mithulananthan, Nadarajah Intelligent network integration of distributed renewable generation Cham Springer 2016 145 p ebook Green energy and technology Preface -- Contents -- About the Authors -- Acronyms and Symbols -- 1 Introduction -- 1.1 DG History -- 1.2 DG Definitions -- 1.3 DG Technologies -- 1.3.1 Solar Photovoltaic -- 1.3.2 Wind Turbines -- 1.3.3 Biomass Gas Turbines -- 1.3.4 Battery Energy Storage -- 1.4 Renewable DG Integration -- 1.4.1 Technical Benefits -- 1.4.1.1 Energy Losses -- 1.4.1.2 Voltage Stability -- 1.4.1.3 Voltage Profiles -- 1.4.1.4 Network Upgrade Deferral -- 1.4.2 Environmental Benefits -- 1.4.3 Economic Benefits -- 1.5 Renewable DG Integration with BES -- 1.6 Grid Codes for DG Integration -- 1.7 Outline of the Book -- References -- 2 Distribution System Modelling -- 2.1 Introduction -- 2.2 Load Modelling -- 2.3 Generation Modelling -- 2.3.1 Biomass -- 2.3.2 Solar Irradiance -- 2.3.3 Wind Speed -- 2.3.4 Battery Energy Storage -- 2.3.5 DG Penetration Level -- 2.3.6 Generation Criteria -- 2.4 Test System Modelling -- 2.4.1 33-Bus Test System -- 2.4.2 69-Bus One Feeder Test System -- 2.4.3 69-Bus Four Feeder Test System -- 2.5 Conclusions -- References -- 3 Biomass DG Integration -- 3.1 Introduction -- 3.2 Load and Biomass DG Modelling -- 3.3 Power and Energy Losses -- 3.4 Sizing at Various Locations [6] -- 3.5 Estimating Power Factors at Various Locations -- 3.6 Computational Procedure [8] -- 3.7 Example 1: DG Impacts on Power Losses [9, 10] -- 3.8 Example 2: Optimal DG Placement [8] -- 3.8.1 DG Location and Size Selection -- 3.8.2 Sizing DG with Respect to Hourly Energy Loss -- 3.8.3 DG Power Factor Operation -- 3.9 Conclusions -- References -- 4 PV Integration -- 4.1 Introduction -- 4.2 Load and Solar PV Modelling -- 4.2.1 Load Modelling -- 4.2.2 Solar PV Modelling -- 4.2.3 Combined Generation-Load Model -- 4.3 Impact Indices -- 4.3.1 Active Power Loss Index -- 4.3.2 Reactive Power Loss Index -- 4.3.3 Voltage Deviation Index -- 4.4 Multiobjective Index -- 4.5 Sizing PV. 4.6 Computational Procedure -- 4.7 Example -- 4.7.1 Test Systems -- 4.7.2 Load Modelling -- 4.7.3 Solar PV Modelling -- 4.7.4 Location Selection -- 4.7.5 Sizing with Respect to Indices -- 4.7.6 PV Penetration and Energy Losses -- 4.8 Conclusions -- References -- 5 PV and BES Integration -- 5.1 Introduction -- 5.2 Load and Generation Modelling -- 5.2.1 Load Modelling -- 5.2.2 PV Modelling -- 5.2.3 BES Modelling -- 5.3 Conceptual Design -- 5.4 Impact Indices -- 5.4.1 Active Power Loss Index -- 5.4.2 Reactive Power Loss Index -- 5.5 Multiobjective Index -- 5.6 Energy Loss and Voltage Stability -- 5.6.1 Energy Loss -- 5.6.2 Voltage Stability -- 5.7 Proposed Analytical Expressions -- 5.8 Self-Correction Algorithm -- 5.8.1 Sizing PV-BES -- 5.8.2 Sizing PV -- 5.8.3 Sizing BES -- 5.9 Example -- 5.9.1 Test System -- 5.9.2 Sizing PV and BES Units -- 5.9.3 Energy Loss and Voltage Stability -- 5.10 Conclusions -- Acknowlegments -- References -- 6 PV and EV Integration -- 6.1 Introduction -- 6.2 Network Modeling -- 6.2.1 Commercial System Modeling -- 6.2.2 Load Modeling -- 6.2.3 Solar PV Modeling -- 6.2.4 EV Modelling [5] -- 6.2.4.1 Energy Consumption -- 6.2.4.2 EV Arrival Time -- 6.2.4.3 EV Charging Load Profile -- 6.2.4.4 EV Charging Station -- 6.3 Voltage Deviation -- 6.4 Power Losses -- 6.5 Apparent Power Loss Index -- 6.6 Sizing EV Charging Stations -- 6.7 Computational Procedure -- 6.8 Example -- 6.8.1 Test Systems -- 6.8.2 Load Modeling -- 6.8.3 PV Modeling -- 6.8.4 EV Modeling -- 6.8.5 Location Selection -- 6.8.6 Sizing EV Charging Stations -- 6.8.7 EV Impacts on Voltage Profiles and Energy Losses -- 6.9 Conclusions -- References -- 7 Biomass Integration-A Cost Benefit Analysis -- 7.1 Introduction -- 7.2 Load and DG Modelling -- 7.2.1 Load Modelling -- 7.2.2 DG Modelling -- 7.3 Impact Indices -- 7.3.1 Active Power Loss Index. 7.3.2 Reactive Power Loss Index -- 7.4 Multiobjective Index -- 7.5 Technical Constraints -- 7.6 Energy Loss and Voltage Stability -- 7.6.1 Energy Loss -- 7.6.2 Voltage Stability -- 7.7 Benefit and Cost Analysis -- 7.7.1 Utility's Benefit -- 7.7.2 Utility's Cost -- 7.7.3 Benefit-Cost Ratio Analysis -- 7.8 Optimal Power Factor -- 7.9 Computational Procedure -- 7.10 Example -- 7.10.1 Test System -- 7.10.2 Assumptions and Constraints -- 7.10.3 Location, Size and Power Factor -- 7.10.4 DG Impact -- 7.10.5 Benefit and Cost Analysis -- 7.11 Conclusions -- Acknowledgments -- References -- Appendix A -- Appendix B. EBL201712 Engineering SzGeCERN BOOK Hung, Duong Quoc Lee, Kwang Y https://cds.cern.ch/auth.py?r=EBLIB_P_4768381 ebook n 201750 201712 21 PUBLIC https://catalogue.library.cern/legacy/2298008 BOOK MIGRATED 2297998 SzGeCERN 20210421205738.0 9781484216842 print version 9781484216842 electronic version electronic version 9781484216859 electronic version electronic version oai:cds.cern.ch:2297998 cerncds:BOOK EBL 4755388 eng QA75.5-76.95 005.8 Campbell, Tony Practical information security management a complete guide to planning and implementation Berkeley, CA Apress 2016 253 p ebook Contents at a Glance -- Contents -- About the Author -- About the Technical Reviewers -- Acknowledgments -- Introduction -- Chapter 1: Evolution of a Profession -- What's in a Name? -- The Language of Security -- CIA -- Confidentiality -- Integrity -- Availability -- Non-Repudiation -- Threats and Vulnerabilities -- Risk and Consequence -- Glossary of Useful Terms -- Chapter 2: Threats and Vulnerabilities -- Threats -- Hiding in Plain Sight -- How Does Tor Work? -- The Deep Web -- Malware as a Service -- Criminal Motivations and Capabilities -- Physical Threats -- Vulnerabilities -- Technical Vulnerabilities -- Non-Technical Vulnerabilities -- Physical Vulnerabilities -- Process Vulnerabilities -- People Vulnerabilities -- People Can Be Compromised -- Chapter 3: The Information Security Manager -- Information Security Job Roles -- Training, Experience, and Professionalism -- Career Planning with Professional and Academic Certifications -- Getting Started in Security Management -- The Information Security Manager's Responsibilities -- The Information Security Management System -- Chapter 4: Organizational Security -- Security in Organizational Structures -- Where Does Security Fit? -- License to Operate: Get Your Guys Certified -- Encourage a Culture of Security Awareness -- Working with Specialist Groups -- Working with Standards and Regulations -- Working with Risk Management -- Risk Identification -- Risk Analysis -- Qualitative Assessments -- Quantitative Analysis -- Risk Treatment -- Risk Monitoring -- Business Continuity Management and Disaster Planning -- Working with Enterprise Architecture -- Working with Facilities Management -- Conclusion -- Chapter 5: Information Security Implementation -- Integration with Risk Management -- The Language of Risk -- Use Existing Frameworks -- Secure Development -- Security Architecture Awareness. Security Requirements -- Organizational Interfaces -- Post Implementation -- Conclusion -- Chapter 6: Standards, Frameworks, Guidelines, and Legislation -- Why Do We Need Standards? -- Legislation -- Privacy -- US-EU Safe Harbor and Privacy Shield -- Employer and Employee Rights -- Computer Fraud and Abuse Laws -- US Computer Fraud and Abuse Act -- UK Computer Misuse Act -- Australia's Cybercrime Act -- Records Retention -- Intellectual Property and Copyright -- The ISO/IEC 27000 Series of Standards -- ISO/IEC 27001 -- Getting Certified -- ISO/IEC 27002 -- ISO/IEC 27035 -- List of Published ISO/IEC 27000 Standards -- Business Continuity -- Risk Management Standards -- COBIT -- Payment Card Industry Data Security Standard -- Health Insurance Portability and Accountability Act -- Conclusion -- Chapter 7: Protection of Information -- Information Classification -- Business Impact Levels -- Implementing Information Classification -- Information Classification or Systems Classification? -- Tactical Implementation -- Strategic Implementation -- Identification, Authentication, and Authorization -- Access Control Models -- System Privileges -- Separation of Duties -- Delegation of Privileges -- Chapter 8: Protection of People -- Human Vulnerabilities -- Social Engineering -- Common Attacks -- Stealing Passwords -- Email Attacks -- Baiting -- Engendering Doubt and Distrust -- Building a Security Culture -- Negligent Staff -- Cyber Drills -- Shoulder Surfing and Eavesdropping -- Codes of Conduct -- Acceptable Use Policies -- Employment Contracts -- Personnel Security Life Cycle -- Recruitment -- Selection -- Security Vetting -- Performance and Succession -- Transition -- Conclusion -- Chapter 9: Protection of Premises -- What Is Physical Security? -- Physical Security in ISO/IEC 27001:2013 -- Start with a Risk Assessment -- Threats and Vulnerabilities. Identification of Physical Threats -- Identification of Physical Vulnerabilities -- Complete the Risk Assessment -- Perimeter Design -- Barriers, Walls, and Fences -- Mailrooms and Loading Bays -- Mailrooms -- Delivery Areas and Loading Bays -- Reduce the Risk -- Security Guards and Dogs -- Crime Prevention through Environmental Design (CPTED) -- CCTV -- Lighting -- Administrative Security Controls -- Internal Building Security -- Reception Areas -- Access Control and Identity Management -- Intrusion Detection Systems -- Alarms and Sensors -- Clear Desk, Clear Screen -- Clear Desk Policy -- Security of Equipment -- Security Considerations when Relocating -- Mitigations -- Conclusion -- Chapter 10: Protection of Systems -- Introducing Malware -- What Is Malware? -- Classifying Malware -- Viruses -- Worms -- Trojan Horses -- Rootkits -- Backdoors and Logic Bombs -- Spyware -- Botnets, Phishing, Spam, and Ransomware -- Ransomware -- Denial-of-Service Attacks -- Active Content Attacks -- Content Injection Attacks -- Threat Vectors -- Technical Countermeasures -- Network Security -- What Are Firewalls? -- The Demilitarized Zone (DMZ) -- Network Encryption -- Virtual Private Networks -- Wireless Networks -- Governance Over Network Management -- Chapter 11: Digital Evidence and Incident Response -- The Digital Forensic Process -- Forensic Acquisition -- Investigation and Analysis -- Reporting and Expert Witness Testimony -- ACPO Principles -- ACPO's First Principle -- ACPO's Second Principle -- ACPO's Third Principle -- ACPO's Fourth Principle -- Forensic Readiness -- Planning -- Incident Response and Digital Investigations -- Preparation -- Detection and Analysis -- Containment and Recovery -- Post-Incident Activities -- Investigating a Malware Outbreak -- Getting Started -- Handling Malware -- Sandboxes -- Indicators of Compromise -- Reporting. Chapter 12: Cloud Computing Security -- Cloud Computing 101 -- Cloud Security -- ISO/IEC 27017:2015 -- Cloud Security Challenges -- Cloud Security Architectures -- API Security: An Old Threat with New Targets -- Virtualization -- Application Virtualization -- Virtual Desktop Infrastructure -- References and More Reading -- The Cloud Security Alliance -- Amazon Web Services -- ISO/IEC 27017:2015 -- NIST -- Australian Signals Directorate -- Chapter 13: Industrial Control Systems -- What Is an ICS? -- What's Changed in Regards to ICS Risks? -- ICS Architectures -- ICS Security -- Best Practices -- Chapter 14: Secure Systems Development -- Secure Development -- Microsoft Security Development Life Cycle -- Security Requirements Specification -- Eliciting Security Requirements with Misuse Cases -- System and Product Assessment -- Secure Development Business Processes -- Change Control -- Acceptance Processes -- Managing Multiple Environments -- Working with Outsourcers -- Finding Covert Channels and Embedded Malware -- Security Patching Considerations -- Security Testing -- Testing Strategies -- Vulnerability and Penetration Testing -- Penetration Testing -- Code Analysis -- Test Reporting -- Verification -- Auditing -- Log Analysis -- Intrusion Detection and Prevention -- Index. EBL201712 Computing and Computers SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4755388 ebook n 201750 201712 21 PUBLIC https://catalogue.library.cern/legacy/2297998 BOOK MIGRATED 2297983 SzGeCERN 20210421205741.0 9783319471082 print version 9783319471082 electronic version electronic version 9783319471099 electronic version electronic version oai:cds.cern.ch:2297983 cerncds:BOOK EBL 4747237 eng QA75.5-76.95 005.7 Mariani, Stefano Coordination of complex sociotechnical systems self-organisation of knowledge in MoK Cham Springer 2016 239 p ebook Artificial intelligence : foundations, theory, and algorithms "Foreword" -- "Preface" -- "Acknowledgements" -- "Contents" -- "1 Introduction" -- "1.1 Introduction" -- "1.2 Organisation of Chapters" -- "1.2.1 Part I" -- "1.2.2 Part II" -- "1.2.3 Part III" -- "References" -- "Part I Coordination of Complex Sociotechnical Systems" -- "2 Coordination of Distributed Systems" -- "2.1 Tuple-Based Coordination" -- "2.1.1 On Distribution" -- "2.2 Programmable Coordination" -- "2.2.1 LGI" -- "2.2.2 Gamma" -- "2.2.3 Tuple Centres and ReSpecT" -- "2.2.4 TOTA" -- "2.3 Probabilistic Coordination" -- "2.3.1 pKlaim" -- "2.3.2 SwarmLinda" -- "References" -- "3 Coordination of Self-organising Systems" -- "3.1 Bio-Inspired Self-organisation Patterns" -- "3.1.1 Spreading" -- "3.1.2 Aggregation" -- "3.1.3 Evaporation" -- "3.1.4 Repulsion" -- "3.1.5 Other Patterns" -- "3.2 Nature-Inspired Coordination" -- "3.2.1 Biochemical Tuple Spaces" -- "3.2.2 SAPERE" -- "3.3 Chemical Reactions as Coordination Laws" -- "3.3.1 Selected Patterns Encoding" -- "3.3.2 Custom Kinetic Rates" -- "3.4 Uniform Primitives as Coordination Primitives" -- "3.4.1 Related Approaches" -- "3.4.2 Informal Definition" -- "3.4.3 Informal Expressiveness" -- "3.4.4 Formalisation" -- "References" -- "4 Coordination of Pervasive Systems" -- "4.1 The Quest Towards Situatedness in MAS" -- "4.1.1 Review of Meta-Models" -- "4.1.2 Review of Architectures" -- "4.1.3 A Reference Architecture" -- "4.2 On Situated Coordination" -- "4.3 Environmental Situatedness in TuCSoN" -- "4.3.1 Architectural Overview" -- "4.3.2 Flow of Interactions" -- "4.3.3 Methodology: Example Scenario" -- "4.3.4 Related Work" -- "4.4 Temporal Situatedness in ReSpecT" -- "4.4.1 Time-Aware Coordination Media" -- "4.4.2 Time-Aware Extension to ReSpecT" -- "4.4.3 Expressiveness Showcase" -- "4.5 Spatial Situatedness in ReSpecT" -- "4.5.1 Space-Aware Coordination Media". "4.5.2 Space-Aware Extension to ReSpecT" -- "4.5.3 Expressiveness Showcase" -- "References" -- "5 Coordination of Sociotechnical Systems" -- "5.1 Sociotechnical Systems and Knowledge-Intensive Environments" -- "5.1.1 Challenges of Sociotechnical Systems" -- "5.1.2 Challenges of Knowledge-Intensive Environments" -- "5.1.3 Research Roadmap" -- "5.2 From Activity Theory to Behavioural Implicit Communication" -- "5.2.1 Activity Theory for Multi-agent Systems" -- "5.2.2 The A&A Meta-Model" -- "5.2.3 Stigmergy and Cognitive Stigmergy" -- "5.2.4 Behavioural Implicit Communication" -- "5.2.5 Towards Computational Smart Environments" -- "5.3 Behavioural Implicit Communication in Real-World STS" -- "5.3.1 Survey of Actions" -- "5.3.2 Factorisation of Common Actions" -- "References" -- "Part II Self-organisation of Knowledge in Molecules of Knowledge" -- "6 Molecules of Knowledge: Model" -- "6.1 Motivation, Context, Goal" -- "6.2 Core Abstractions" -- "6.2.1 Atoms" -- "6.2.2 Seeds" -- "6.2.3 Molecules" -- "6.2.4 Catalysts" -- "6.2.5 Enzymes" -- "6.2.6 Traces" -- "6.2.7 Perturbations" -- "6.2.8 Reactions" -- "6.2.9 Compartments" -- "6.2.10 Membranes" -- "6.3 Computational Model: Artificial Chemical Reactions" -- "6.3.1 Injection" -- "6.3.2 Aggregation" -- "6.3.3 Diffusion" -- "6.3.4 Decay" -- "6.3.5 Reinforcement" -- "6.3.6 Deposit" -- "6.3.7 Perturbation" -- "6.4 Interaction Model: Epistemic Actions, Tacit Messages, and Perturbation Actions" -- "6.4.1 Share" -- "6.4.2 Mark" -- "6.4.3 Annotate" -- "6.4.4 Connect" -- "6.4.5 Harvest" -- "6.5 Information Model: Representation and Similarity-Based Matchmaking" -- "References" -- "7 Molecules of Knowledge: Technology" -- "7.1 Prototype on TuCSoN" -- "7.1.1 Core Abstractions Mapping" -- "7.1.2 The Chemical Engine Logic" -- "7.1.3 Spotlight on Engine Implementation" -- "7.2 Software Ecosystem". "7.2.1 Information Harvesting Layer" -- "7.2.2 Networking and Communication Layer" -- "7.2.3 User Interaction Layer" -- "References" -- "8 Molecules of Knowledge: Simulation" -- "8.1 Computational Model" -- "8.1.1 Injection" -- "8.1.2 Decay" -- "8.1.3 Aggregation" -- "8.1.4 Reinforcement" -- "8.1.5 Diffusion" -- "8.2 Interaction Model" -- "References" -- "9 Molecules of Knowledge: Case Studies" -- "9.1 Similarity-Based Clustering" -- "9.1.1 Basic Measure" -- "9.1.2 Cosine Similarity" -- "9.1.3 Concept-Based Similarity" -- "9.2 MoK-News" -- "9.2.1 Knowledge Representation for News Management" -- "9.2.2 Incarnation of MoK Model" -- "9.2.3 MoK-News at Work" -- "References" -- "Part III Conclusion" -- "10 Conclusion". EBL201712 Computing and Computers SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4747237 ebook n 201750 201712 21 PUBLIC https://catalogue.library.cern/legacy/2297983 BOOK MIGRATED 2297980 SzGeCERN 20210421205741.0 9783319486765 print version 9783319486765 electronic version electronic version 9783319486772 electronic version electronic version oai:cds.cern.ch:2297980 cerncds:BOOK EBL 4747046 eng QC71.82-73.8 333.794 Pintz, William S Clean energy from the Earth, wind and Sun learning from Hawaii's search for a renewable energy strategy Cham Springer 2016 184 p ebook Preface -- Acknowledgements -- Contents -- Acronyms and Abbreviations -- 1 Introduction: Roots, Vision, and Strategy -- Abstract -- 1.1 Local Roots of HCEI -- 1.1.1 Hawaii 2000 Vision -- 1.1.2 The Hawaii Energy Policy Forum -- 1.1.3 Sustainability Report -- 1.1.4 Public Visions and Political Realities -- 1.2 External Influences on the Formulation of the Clean Energy Strategy -- 1.3 Regulatory Basis for Energy Objectives -- 1.4 Laying the Institutional Foundation for the Hawaii Clean Energy Initiative -- 1.4.1 Energy Resources Coordinator -- 1.4.2 Organizational Development -- 1.4.2.1 Hawaii Natural Energy Institute -- 1.4.2.2 Natural Energy Laboratory of Hawaii -- 1.5 The HCEI Goals -- 1.5.1 A Multi-dimensional Vision -- 1.5.2 The 70&#xa0;% Clean Energy Objective -- 1.5.3 Preparedness -- 1.6 Perspectives of Major Stakeholders on a Renewable Energy Strategy -- 1.6.1 Electric Utilities -- 1.6.2 Oil Companies -- 1.6.3 Large Land Owners -- 1.6.4 Socio-environmental Advocates -- 1.6.5 Private Support Industries -- References -- 2 Hawaii Policy Background -- Abstract -- 2.1 Distinguishing Characteristics of Hawaii's Energy Sector -- 2.2 Hawaii's Energy Economy -- 2.3 Overview of Energy Costs and Prices -- 2.4 Overview of Energy Demand -- 2.4.1 Air Travel -- 2.4.2 The Military -- 2.4.3 Household Electricity Demand -- 2.5 Overview of Petroleum Supply Patterns -- 2.5.1 Importing and Processing Oil Products -- 2.5.2 Liquid Fuel Use -- 2.5.3 Petroleum Use in Electrical Generation -- 2.5.4 Liquid Fuel Use in Ground Transportation -- 2.5.5 Domestic Use of Synthetic Natural Gas -- 2.6 A Recent Forecast of HCEI's Impact on Petroleum Demand -- 2.7 Electricity Supply -- 2.7.1 Structure of Electricity Supply -- 2.7.2 Generation, Comparative Cost and Management of Electricity -- 2.8 Energy Conservation and Efficiency -- 2.9 Special Problems for a Special Place. 8 2.9.1 Risk Implications of Oil Dependence -- 2.9.2 Transparency of Prices -- 2.9.3 Intermittent Generation and Grid Management -- 2.9.4 Impact of Environmental Regulations -- 2.9.5 Public Acceptance -- References -- 3 Anatomy of a Strategy: Assumptions, Policies, and Initial Resource Assessments -- Abstract -- 3.1 Underlying Logic of HCEI -- 3.2 Strategic Framework -- 3.3 Regulatory Environment -- 3.3.1 Renewable Portfolio Standard -- 3.3.2 Energy Efficiency Portfolio Standard -- 3.4 Initial Resource Assumptions About Electricity Resources -- 3.4.1 "Big Wind" as the Marque Strategy -- 3.4.2 Marine Cable -- 3.4.3 Evolution of Assumptions About Biofuels -- 3.4.4 The Shadow of Geothermal Resources -- 3.5 Emergence of the Core HCEI Assumptions for Transportation and Energy Efficiency -- 3.5.1 The Transportation Dilemma -- 3.5.2 Conservation and Efficiency -- 3.6 Assumptions About the Environment and Climate Change -- 3.7 Future Determinants of the Policy Framework -- References -- 4 Negotiations: Politics, Intentions, and Institutional Capacity -- Abstract -- 4.1 Political and Executive Leadership in Hawaii -- 4.2 The Blank Sheet Exercise -- 4.3 Federal Assistance -- 4.3.1 Enter the Man from Washington -- 4.3.2 The Lady from Texas and the "Strawman" Document -- 4.4 The NREL Visit -- 4.5 Preparing for Negotiations -- 4.5.1 The Negotiating Teams -- 4.5.2 Preparing the "Dance Card" -- 4.5.3 Hawaiian Electric's "Fish or Cut Bait" Decision Point -- 4.5.4 The Discussions -- 4.5.5 Dotting "i's" and Crossing "t's" -- 4.6 Evolving Organizational Responsibilities -- 4.6.1 Changing Energy Efficiency Responsibilities -- 4.6.2 Steering Committees and Working Groups -- 4.6.3 Redirecting the Utility Planning System -- 4.6.4 Climate Change Policy -- 4.7 Changing Faces -- Reference. 8 5 Connecting the Dots-Early Implementation of the Hawaii Clean Energy Initiative HCEI Electricity Goals -- Abstract -- 5.1 Establishing an Early Perspective-The Department of Energy Scenario Analysis -- 5.2 Reexamining the Resource Options -- 5.2.1 The Answer is "Big Wind" -- 5.2.2 The Answer is Geothermal -- 5.2.3 The Marine Transmission Cable Project -- 5.2.4 The Answer is Solar -- 5.2.5 The Answer is Liquid Natural Gas -- 5.2.6 The Answer is WHAT??? -- 5.3 A Missing Policy Link -- 5.4 Verifying the Major HCEI Technical Assumptions -- 5.4.1 Navigant Study of Big Wind/Cable Project Study -- 5.4.2 HNEI/NREL/GE Wind Integration Study -- 5.4.3 Bioenergy Planning Studies and Field Research -- 5.4.3.1 The Bioenergy Master Plan -- 5.4.3.2 Vegetable Oils as a Biodiesel Feedstock -- 5.4.3.3 Boiler Tests of Crude Palm Oil -- 5.4.4 Sustainability Issues For Biofuels -- 5.5 Energy Efficiency Programs -- 5.5.1 The Hawaii Energy Demand Side Management Programs -- 5.5.2 Structural Conservation Programs -- References -- 6 Unconnected Dots-Early Implementation of the Hawaii Clean Energy Initiative Surface Transportation Goals -- Abstract -- 6.1 Road Transport Goals and Fuel Studies -- 6.2 Distinctions Between Power and Surface Transportation Goals -- 6.3 Alternative Fuels -- 6.3.1 Blended Ethanol Fuels -- 6.3.2 Green Gasoline -- 6.3.2.1 Estimated Costs of Producing Green Gasoline -- 6.3.2.2 Biodiesel -- 6.4 Electric and Plug-in Electric Vehicles -- 6.4.1 Electric Vehicle Incentives -- 6.4.2 The Electric Vehicle Forecast -- 6.5 Improved Vehicle Efficiency -- 6.6 Reduction in Vehicle Miles Traveled -- 6.7 Summary of Initial Road Transport Targets Proposed in Scenario Analysis -- 6.8 The "HCEI 2.0" Update Study -- 6.9 Air Transport -- 6.10 Marine Transportation -- 6.11 State and Federal Intentions in Renewable Fuels Policy -- References. 8 7 Environmental Implications and Other Disconnects -- Abstract -- 7.1 Defining "Clean" and "Energy" in the HCEI -- 7.2 EPA Air Quality Standards-A Potential Game Changer for HCEI Implementation Options -- 7.3 Climate Change Policy in Hawaii -- 7.3.1 A Closer Look at the Implications of Act 234 -- 7.3.2 Analysis of Relationship between Act 234 and HCEI -- 7.4 The GHGTF Report and Recommendations -- 7.4.1 Conclusions and Recommendations -- 7.4.2 Controversy Surrounding GHG Rule Making -- 7.4.3 Act 234 and the Transportation Sector -- 7.5 Non-government Research on GHG Related Topics -- 7.5.1 Policy Research at Hawaiian Electric Company -- 7.5.2 Research at the University of Hawaii -- 7.6 Other Interactions Between the HCEI and Act 234 -- 7.6.1 Financial and Administrative Questions for the Future -- 7.6.2 Potential Climate Change Impacts and their Effect on HCEI Implementation -- References -- 8 Years of Uncertainty and Surprise -- Abstract -- 8.1 Changes at the Top -- 8.2 Policy Conflict at the PUC -- 8.3 Contrasting Strategies for Liquid Natural Gas Imports -- 8.3.1 Different Perspectives -- 8.3.2 Unanticipated Political Opposition -- 8.3.3 LNG Research at the University -- 8.4 The Proposed NextEra Purchase of Hawaiian Electric Company -- 8.4.1 An Unexpected Merger -- 8.4.2 Merger Rejected by PUC -- 8.4.3 Fall out of PUC Merger Rejection -- 8.5 The Oil Price Collapse of Late 2014 and Possible Consequences for HCEI -- 8.6 Summing up: HCEI at Mid 2016 -- References -- 9 Taking Stock -- Abstract -- 9.1 Organization of the Chapter -- 9.2 Policy Structure -- 9.2.1 Constraints: Politics, Geography, and Public Opinion -- 9.2.2 Policy Logic -- 9.2.3 The Practicality of Achieving Grand Visions -- 9.3 Strategic Objectives -- 9.3.1 Formulating Objectives -- 9.3.2 Regulation, Incentives and Market Forces -- 9.3.3 "Hard" and "Soft" Objectives. 8 9.3.4 Planning Decisions and Resource Pricing -- 9.3.5 Subsidies, Tax Incentives and Strategic Decision Making -- 9.4 Process and Capacity -- 9.4.1 Government Capacity -- 9.4.2 Policy Coordination -- 9.4.3 Augmenting Government Capacity with Federal and Academic Support -- 9.5 Information Flows -- 9.5.1 Barriers to Transparency in the Dissemination of Information -- 9.5.2 Third Party Information Programs -- 9.6 Metrics for Monitoring Progress -- 9.6.1 HEPF Metrics Program -- 9.6.2 Separating Cause and Effect -- 9.6.3 Impact of "Low Hanging Fruit" -- 9.6.4 Finding Suitable Comparisons -- 9.7 Resource Planning in a World of Subsidies -- 9.7.1 Benchmarking Subsidized Resources -- 9.7.2 Price Parity/Avoided Cost Markers -- 9.8 Additional Resource Considerations -- 9.8.1 Development Implication of Renewable Options -- 9.8.2 Climate Change and Renewable Resource Selection -- 9.9 Mixed Signals and Policy Conflicts -- 9.9.1 Environmental Uncertainties -- 9.9.2 MAC/MACT Sulfur Emission Standards -- 9.9.3 ACT 234 Greenhouse Gas Regulation -- 9.10 Coping with an Evolving Future -- 9.10.1 Meeting the HCEI Target Dates -- 9.10.2 External Factors -- 9.10.3 Toward a More Robust Planning System -- References -- Appendix A: Energy Agreement Among the State of Hawaii, Division of Consumer Advocacy of the Department of Commerce and Consumer Affairs, and Hawaiian Electric Companies -- Appendix B: HCEI Incentive Programs -- Appendix C: Summary of Strawman Document -- Index. EBL201712 Commerce, Economics, Social Science SzGeCERN BOOK Morita, Hermina https://cds.cern.ch/auth.py?r=EBLIB_P_4747046 ebook n 201750 201712 21 PUBLIC https://catalogue.library.cern/legacy/2297980 BOOK MIGRATED 2297949 SzGeCERN 20180822202549.0 9783319411903 (electronic bk.) electronic version 9783319411880 electronic version EBL 4732599 eng TA401-492 537.622 Ahluwalia, Gurinder Kaur Applications of chalcogenides Cham Springer 2016 472 p Preface -- Contents -- Contributors -- Part I: Introduction -- Chapter 1: Fundamentals of Chalcogenides in Crystalline, Amorphous, and Nanocrystalline Forms -- 1.1 Chalcogenide Materials and Their Classification -- 1.1.1 Alkali Metal and Alkaline Earth Chalcogenides -- 1.1.2 Transition Metal Chalcogenides (TMCs) -- 1.2 Nanostructured Chalcogenides -- 1.3 Chalcogenide Glasses (ChGs) -- 1.4 Structure, Bonding, and Band Structure -- 1.5 Band Structures and Band Gaps of Selected Chalcogenide Alloys (Theoretical Calculations) -- 1.5.1 CdSSe Nanostructures -- 1.5.2 CuInSe2 -- 1.5.3 CuInTe2 -- 1.5.4 ZnS and ZnSe -- 1.5.5 CdTe -- 1.5.6 GeSbTe (GST) -- 1.5.7 HgCdTe -- 1.5.8 PbSe -- 1.5.9 Se and As and Cl Doped Se -- 1.5.9.1 Trigonal Se -- I. Crystal Structure of Trigonal Se -- II. Band Structure of Trigonal Se -- III. Density of States of Trigonal Se -- 1.5.10 Se Doped with As and Cl -- 1.5.10.1 Case 1: As Doped Se -- 1.5.10.2 Case 2: Cl Doped Se -- 1.5.10.3 Case 3: As and Cl Doped Se -- 1.6 Amorphous, Crystalline, and Nanocrystalline Chalcogenides -- 1.7 Defects in Amorphous Chalcogenides -- 1.8 Photoinduced Effects in Amorphous Semiconductors -- 1.9 Avalanche Multiplication -- 1.10 Ionic and Electronic Conductivity -- 1.11 Nanostructuring -- 1.12 Biomedical Applications: Cancer Chemopreventive Effects -- 1.13 Brief Review -- 1.14 Effects Discovered in Chalcogenide Glasses [39] -- References -- Chapter 2: Techniques for Structural Investigations (Theory and Experimental) -- 2.1 Introduction -- 2.1.1 Density Functional Theory (DFT) -- 2.1.2 Kohn-Shamþs Equation -- 2.1.3 Full Potential Augmented Plane Wave Method -- 2.1.4 MBJ (Modified Becke-Johnson) Exchange Potential -- 2.1.5 Real Space Multiple Scattering (RSMS) -- 2.1.6 Rehr-Albers Method -- 2.1.7 EXAFS (Extended X-ray Absorption Fine Structure) Classic Theory. 8 2.2 Computer Programs for Electronic Structure Calculations -- 2.2.1 WIEN Program -- 2.2.2 FEFF Program -- 2.3 XPS (X-ray Photo-electron Spectroscopy) -- 2.4 Analysis of Se-Te System Using XPS, WIEN, and TEM -- 2.5 XANES (X-ray Absorption Near-Edge Spectroscopy) -- 2.6 Analysis of Material Systems -- 2.6.1 CdS, CdSSe, and CdSe -- 2.6.2 Se, SeTe, and SeTeSb Systems -- 2.6.3 As2Se3 -- 2.6.4 ZnS -- 2.7 EXAFS of CdSSe Nanostructures -- 2.8 XEOL (X-ray Excited Optical Luminescence) -- 2.8.1 XEOL of CdSSe -- 2.9 SSHG (Surface Second Harmonic Generation) -- 2.10 Monte Carlo Simulations -- 2.11 Summary -- 2.12 Discussion -- References -- Chapter 3: Nanostructured Chalcogenides -- 3.1 Introduction -- 3.2 Size and Shape Controlled Synthesis of Nanoparticles -- 3.3 Methods of Synthesis -- 3.3.1 Preparation of PbS Nanocrystals (NCs) -- 3.3.2 Synthesis of Surfactant Core-Shell PbSe and CuSe NCs -- 3.3.3 Synthesis of Se-Te Alloy NCs -- 3.3.4 Synthesis of QDs -- 3.4 Shape and Size Characterization of Nanocrystals -- 3.4.1 Lead Sulfide (PbS) -- 3.4.1.1 Star Shaped Morphology -- 3.4.1.2 Hexagonal -- 3.4.1.3 Cubic -- 3.4.1.4 Octahedron -- 3.4.1.5 Nanowires/Nanothreads/Nanosheets -- 3.4.1.6 Quantum Dots (QDs) -- 3.4.1.7 Superlattices -- 3.4.2 PbSe -- 3.4.2.1 Nanocrystals (NCs) -- 3.4.2.2 Nano Cubes -- 3.4.2.3 Nano Wires (NWs) -- 3.4.2.4 PbSe/PbS QDs -- 3.5 Cadmium Sulfide (CdS) -- 3.5.1 CdS/CdSe/CdTe Heterostructures -- 3.5.2 CdS-NWs/Nanorods -- 3.5.3 CdSSe -- 3.5.4 CdSe/CdS -- 3.6 Zinc Oxide/Zinc Sulfide/Zinc Selenide (ZnO/ZnS/ZnSe) -- 3.6.1 ZnO -- 3.6.1.1 Spheres -- 3.6.1.2 Nanowires -- 3.6.2 ZnS -- 3.7 Se/Te Nanocrystals -- 3.8 Selenium-Nanocrystals and Nanowires -- 3.9 Germanium Antimony Telluride (GeSbTe): GST -- 3.10 Future Outlook and Summary -- References -- Part II: Sulfur -- Chapter 4: Optical Fibers -- 4.1 Introduction. 8 4.2 Basic Principle: Phenomena of Total Internal Reflection -- 4.3 Parameters for Optical Fiber Applications -- 4.3.1 Refractive Index -- 4.3.2 Core Size and Numerical Aperture -- 4.4 Loss Mechanisms in Optical Fibers -- 4.5 Materials for Optical Fibers -- 4.6 Chalcogenide Glass Optical Fibers -- 4.6.1 Passive Applications -- 4.6.1.1 Laser Power Delivery -- 4.6.1.2 Chemical Sensing -- 4.6.1.3 Temperature Monitoring, Thermal Imaging, and Hyperspectral Imaging -- 4.6.1.4 Near Field Microscopy -- 4.6.1.5 Fiber Multiplexing -- 4.6.2 Active Applications -- 4.6.2.1 Rare Earth (RE) Doped Fibers -- 4.6.2.2 Fiber Lasers -- 4.6.2.3 Fiber Amplifiers (FAs) -- 4.6.2.4 Fiber Bragg Gratings (FBGs) -- 4.6.3 Nonlinear Effects -- 4.6.4 Super Continuum Generation -- 4.7 Experimental Techniques for Making Optical Fiber [8] -- 4.7.1 Preforms and Microstructured Fibers Fabrication -- 4.8 Summary -- References -- Part III: Selenium -- Chapter 5: Imaging and Detection -- 5.1 Introduction -- 5.2 X-Ray Imaging for Medical Applications -- 5.3 Factors Affecting the Performance of Detectors -- 5.3.1 Detector Size -- 5.3.2 Modulation Transfer Function (MTF) -- 5.3.3 Nyquist Frequency -- 5.3.4 Spatial Resolution -- 5.3.5 Detective Quantum Efficiency (DQE) -- 5.3.6 Image Quality -- 5.3.7 Pixel Size and Matrix Size -- 5.3.8 Monolithic Panels Versus Tiled Arrays -- 5.3.9 Bad Pixels and Rows -- 5.3.10 Image Acquisition Time and Rate -- 5.3.11 Dynamic Range -- 5.4 Available Technologies -- 5.4.1 Photostimulable Storage Phosphors (PSP) -- 5.4.2 Charge Coupled Devices (CCD) -- 5.4.3 Flat Panel Detectors: Direct Versus Indirect Conversion -- 5.4.3.1 Direct Conversion Detectors -- 5.4.3.2 Indirect Detection -- 5.5 Material Selection for Imaging Applications -- 5.5.1 Quantum Efficiency: AQ -- 5.5.2 Electron-Hole Pair Creation Energy W -- 5.5.3 Dark Current. 8 5.5.4 Charge Collection Efficiency (CCE) -- 5.5.5 X-Ray Damage and Fatigue -- 5.5.6 Large Area Fabrication -- 5.5.7 Need for Speed -- 5.6 Selenium: Band Structure Considerations -- 5.7 Density of States (DOS) in a-Se -- 5.7.1 Avalanche Breakdown and HARP -- 5.7.1.1 HARP: Structure Details and Operation -- 5.8 Future Outlook and Summary -- References -- Chapter 6: Electrochemical Sensors -- 6.1 Introduction -- 6.2 ISE Principles and Theory -- 6.2.1 Sensor Response and the Phase Boundary Potential -- 6.2.2 Selectivity -- 6.2.3 Sensitivity -- 6.3 Analytical Methodologies -- 6.3.1 Single-Point Calibration -- 6.3.2 Calibration Curves -- 6.3.3 Standard Addition -- 6.4 Types of ISE and Species Sensed -- 6.4.1 First-Order Indicator Electrodes -- 6.4.2 Second-Order Indicator Electrodes -- 6.4.3 Membrane-Based ISE -- 6.4.4 Gas Sensing ISE -- 6.4.5 Non-specific Multisensors -- 6.5 Chalcogenide Membrane-Based Potentiometric Sensor Electrodes -- 6.5.1 Membrane Fabrication -- 6.5.2 Membrane Composition and Structure -- 6.5.3 Mechanism of Ion Exchange for Zn and Sn ISE -- 6.5.3.1 Zn ISE -- 6.5.3.2 Tin (Sn) ISE -- 6.6 Trends and Development -- 6.6.1 Multi-sensor Arrays and the Electronic Tongue -- 6.6.2 Metallic Doping of chalcogenides -- 6.6.3 Sensor Miniaturization -- 6.6.3.1 Fabrication of Chalcogenide Glass-Based Thin-Film Sensor Arrays -- 6.7 Summary -- References -- Chapter 7: Biomedical Applications -- 7.1 Introduction -- 7.2 Toxicity of Nanomaterials -- 7.3 QDs as Fluorescent Biomarker -- 7.4 Instrumentation for Bioimaging -- 7.5 Unique Properties of Selenium: Anticarcinogenic Effect -- References -- Chapter 8: Selenide Glass Fibers for Biochemical Infrared Sensing -- 8.1 Introduction -- 8.2 Methods -- 8.2.1 Fiber Evanescent Wave Spectroscopy -- 8.2.1.1 Infrared Absorption -- 8.2.1.2 Remote Spectroscopy -- 8.2.1.3 Evanescent Waves, Total Internal Reflection. 8 8.2.1.4 Sensing Zone -- 8.2.1.5 Advanced Spectral Analysis -- 8.2.2 Chalcogenide Glasses -- 8.2.2.1 Optical Transmission -- 8.2.2.2 Fiber Versus Window Transmission -- 8.2.2.3 Synthesis of Chalcogenide Glasses -- 8.2.2.4 Fiber Production -- 8.2.2.5 Biocompatibility and Chemical Stability -- 8.2.2.6 Hydrophobicity -- 8.2.2.7 Mechanical Properties -- 8.3 Application to Chemical and Biomedical Sensing -- 8.3.1 Food Safety -- 8.3.2 Biomedical Diagnostics -- 8.3.2.1 Metabolic Profiling in Human -- 8.3.2.2 Metabolic Profiling in Animals -- 8.3.2.3 Metabolic Monitoring of Microorganisms -- 8.3.2.4 Monitoring of Industrial Processes -- 8.3.2.5 Environmental Monitoring -- 8.4 Prospects -- 8.5 Conclusion -- References -- Part IV: Tellurium -- Chapter 9: Data Storage Devices -- 9.1 Introduction -- 9.2 Phase Change Memory -- 9.2.1 Mechanism of Data Storage Using Phase Change Materials -- 9.2.2 Phase Change Memories: A Materials Overview -- 9.2.3 Why Chalcogenide Semiconductors for Memory Devices? -- 9.2.4 GeSbTe (GST) -- 9.2.5 AgInSbTe (AIST) -- 9.2.6 Other (Non-chalcogenide) Materials for Data Storage Devices -- 9.3 Optical Data Storage -- 9.3.1 Challenges Faced by Industry -- 9.3.2 Three Generations of Current Optical Disks -- 9.3.2.1 Compact Disk (CD)-Brief Review -- 9.3.2.2 Digital Versatile Disk (DVD) -- 9.3.2.3 Disk Structure-Digital Video Recording (DVR) -- 9.3.2.4 Blu-ray -- 9.4 Multilayered Disks -- 9.5 Alternative Technologies for Data Storage -- 9.5.1 Holographic Data Storage -- 9.5.2 Fabrication of Patterned Media by Nanoimprint Lithography (NIL) -- 9.6 Multiphoton Technology -- 9.6.1 Two Photon Technology -- 9.6.2 Third Harmonic Generation -- 9.7 Near Field Phase Change Optical Recording and Super-Resolution Near Field Optical Disk-Super-RENS -- 9.8 Semiconductor-Electrical Memory -- 9.8.1 Phase Change Random Access Memories: PCRAMs. 8 9.8.2 Scaling of PCM Devices. 9783319411880 2 print version oai:cds.cern.ch:2297949 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4732599 ebook ebook EBL201712 Other Fields of Physics SzGeCERN BOOK n 201750 201712 21 PUBLIC BOOK DELETED 2297947 SzGeCERN 20210421205747.0 9783319287775 print version 9783319287775 electronic version electronic version 9783319287782 electronic version electronic version oai:cds.cern.ch:2297947 cerncds:BOOK EBL 4731719 eng QA75.5-76.95 005.8 Reardon, Joel Secure data deletion Cham Springer 2016 208 p ebook Information security and cryptography Acknowledgments -- Contents -- Acronyms -- Part I Introduction and Background -- 1 Introduction -- 1.1 Organization and Structure -- 2 RelatedWork on Secure Deletion -- 2.1 Introduction -- 2.2 RelatedWork -- 2.2.1 Layers and Interfaces -- 2.2.2 Physical-Layer and Controller-Layer Sanitization -- 2.2.3 User-Level Solutions -- 2.2.4 File-System-Level Solutions with In-Place Updates -- 2.2.5 Cross-layer Solutions -- 2.2.6 Summary -- 2.3 Adversarial Model -- 2.3.1 Classes of Adversarial Capabilities -- 2.3.2 Summary -- 2.4 Analysis of Solutions -- 2.4.1 Classes of Environmental Assumptions -- 2.4.2 Classes of Behavioural Properties -- 2.4.3 Summary -- 3 System Model and Security Goal -- 3.1 Introduction -- 3.2 System Model -- 3.3 Storage Medium Models -- 3.4 Adversarial Model -- 3.5 Security Goal -- Part II Secure Deletion for Mobile Storage -- 4 Flash Memory: Background and Related Work -- 4.1 Overview -- 4.2 Flash Memory -- 4.2.1 In-Place Updates and Log-Structured File Systems -- 4.2.2 Flash Translation Layer -- 4.2.3 Flash File Systems -- 4.2.4 Generalizations to Other Media -- 4.3 RelatedWork for Flash Secure Deletion -- 4.4 Summary -- 5 User-Level Secure Deletion on Log-Structured File Systems -- 5.1 Introduction -- 5.2 System and Adversarial Model -- 5.3 YAFFS -- 5.4 Data Deletion in Existing Log-Structured File Systems -- 5.4.1 Instrumented YAFFS -- 5.4.2 Simulating Larger Storage Media -- 5.5 User-Space Secure Deletion -- 5.5.1 Purging -- 5.5.2 Ballooning -- 5.5.3 Hybrid Solution: Ballooning with Purging -- 5.6 Experimental Evaluation -- 5.6.1 Experimental Results -- 5.7 Summary -- 5.8 Research Questions -- 6 Data Node Encrypted File System -- 6.1 Introduction -- 6.2 System and Adversarial Model -- 6.3 DNEFS's Design -- 6.3.1 Key Storage Area -- 6.3.2 Keystore -- 6.3.3 Clocked Keystore Implementation -- 6.3.4 Clock Operation: KSA Update. 6.3.5 Key-State Map -- 6.3.6 Summary -- 6.4 Extensions and Optimizations -- 6.4.1 Granularity Trade-off -- 6.4.2 KSA Update Policies -- 6.4.3 KSA Organization -- 6.4.4 Improving Reliability -- 6.4.5 Encrypted File System -- 6.5 Summary -- 6.6 Research Questions -- 7 UBIFSec: Adding DNEFS to UBIFS -- 7.1 Introduction -- 7.2 System and Adversarial Model -- 7.3 Background -- 7.3.1 MTD and UBI Layers -- 7.3.2 UBIFS -- 7.4 UBIFSec Design -- 7.4.1 Key Storage Area -- 7.4.2 Key-State Map -- 7.4.3 Summary -- 7.5 Experimental Validation -- 7.5.1 Android Implementation -- 7.5.2 Wear Analysis -- 7.5.3 Power Consumption -- 7.5.4 Throughput Analysis -- 7.5.5 Timing Analysis -- 7.6 Conclusions -- 7.7 Practitioner's Notes -- Part III Secure Deletion for Remote Storage -- 8 Cloud Storage: Background and Related Work -- 8.1 Introduction -- 8.2 Persistent Storage -- 8.2.1 Securely Deleting and Persistent Combination -- 8.2.2 Cloud Storage -- 8.3 RelatedWork -- 8.4 Summary -- 9 Secure Data Deletion from Persistent Media -- 9.1 Introduction -- 9.2 System and Adversarial Model -- 9.3 Graph Theory Background -- 9.4 Graph-Theoretic Model of Key Disclosure -- 9.4.1 Key Disclosure Graph -- 9.4.2 Secure Deletion -- 9.5 Shadowing Graph Mutations -- 9.5.1 Mangrove Preservation -- 9.5.2 Shadowing Graph Mutation Chains -- 9.5.3 Mangrove Key Disclosure Graphs in Related Work -- 9.6 Summary -- 9.7 Research Questions -- 10 B-Tree-Based Secure Deletion -- 10.1 Introduction -- 10.2 System and Adversarial Model -- 10.3 Background -- 10.3.1 B-Tree Storage Operations -- 10.3.2 B-Tree Balance Operations -- 10.4 Securely Deleting B-Tree Design -- 10.4.1 Cryptographic Details -- 10.4.2 Data Integrity -- 10.4.3 Versioning -- 10.4.4 Skeleton Tree -- 10.4.5 Commitment -- 10.4.6 Crash Safety -- 10.5 Implementation Details -- 10.5.1 Data Storage -- 10.5.2 Network Block Device. 10.5.3 Virtual Storage Device -- 10.5.4 Caches -- 10.6 Experimental Evaluation -- 10.6.1 Workloads -- 10.6.2 Caching -- 10.6.3 B-Tree Properties -- 10.7 Conclusions -- 10.8 Practitioner's Notes -- 11 Robust Key Management for Secure Data Deletion -- 11.1 Introduction -- 11.2 System and Adversarial Model -- 11.2.1 System Entities -- 11.2.2 Adversarial Model -- 11.3 Distributed Keystore -- 11.3.1 Distributed Clocked Keystore -- 11.3.2 Distributed Keystore Correctness -- 11.4 Synchronization -- 11.5 Byzantine Robustness -- 11.6 Keystore Secure Deletion -- 11.6.1 Key Pools and Encryption Keys -- 11.6.2 Encryption Key Encoding -- 11.6.3 XOR-Based Encoding -- 11.6.4 Security Analysis -- 11.7 Implementation Details -- 11.8 Experimental Validation -- 11.9 Conclusions -- 11.10 Research Questions -- 11.11 Practitioner's Notes -- Part IV Conclusions -- 12 Conclusion and Future Work -- 12.1 Summary of Contributions -- 12.2 Related and Complementary Research -- 12.2.1 Information Deletion -- 12.2.2 File Carving -- 12.2.3 Steganographic and Deniable Storage -- 12.2.4 History Independence -- 12.2.5 Provable Deletion -- 12.3 Future Work -- 12.3.1 New Types of Storage Media -- 12.3.2 Benchmarks for Different Storage -- 12.3.3 Secure-Deletion Data Structure Selection -- 12.3.4 Formalization -- 12.3.5 DNEFS for FTLs -- 12.4 Concluding Remarks -- References -- Glossary -- Index. EBL201712 Computing and Computers SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4731719 ebook n 201750 201712 21 PUBLIC https://catalogue.library.cern/legacy/2297947 BOOK MIGRATED 2297944 SzGeCERN 20210421205748.0 9781484223000 print version 9781484223000 electronic version electronic version 9781484223017 electronic version electronic version oai:cds.cern.ch:2297944 cerncds:BOOK EBL 4731230 eng QA75.5-76.95 005.7565 Gupta, Ravinder Mastering Oracle GoldenGate Berkeley, CA Apress 2016 649 p ebook Contents at a Glance -- Contents -- About the Author -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Part I: Getting Started -- Chapter 1: Introduction to Oracle GoldenGate (OGG) -- What's So Magical About Oracle GoldenGate? -- Types of Replication -- Available Replication Options -- Advantages of Oracle GoldenGate -- When to Use Oracle GoldenGate? -- Oracle GoldenGate vs. Streams -- Oracle GoldenGate vs. Data Guard -- Oracle GoldenGate vs. SharePlex -- Oracle GoldenGate 12c New Features -- Summary -- Chapter 2: Architecture -- Overview of the Components -- Extract -- Data Pump -- Replicat -- Trails -- Collector -- Manager -- Checkpoints -- Support for Non-Oracle Databases -- Supported Topologies -- Unidirectional Replication -- When to Use Unidirectional Replication? -- Bidirectional Replication -- Limitations of Bidirectional Configuration -- When to Use Bidirectional Replication? -- One-to-Many Replication -- When to Use One-to-Many Replication? -- Many-to-One Replication -- When to Use Many-to-One Replication? -- Peer-to-Peer Replication -- When to Use Peer-to-Peer Replication? -- Summary -- Chapter 3: Oracle GoldenGate Pre-installation Tasks -- Memory Requirements -- Disk Space Requirements -- Network Requirements -- Configuring Your Database and Server for Oracle GoldenGate -- Enable Logging for Oracle Databases -- Enable Logging for Sybase Databases -- Enable Logging for Microsoft SQL Server Databases -- Supported Data Types -- Supported Data Types for Oracle Databases -- Supported Data Types for SYBASE Databases -- Supported Data Types for MySQL Databases -- Supported Data Types for SQL Server Databases -- Supported Data Types for DB2 Databases on LUW -- Supported Data Types for DB2 Databases on z/OS -- Supported Operations -- Database Operations Captured for Oracle Databases. Database Operations Captured on Sybase Databases -- Database Operations Captured on MySQL Databases -- Database Operations Captured on SQL Server Databases -- Database Operations Captured on DB2 Databases for LUW -- Database Operations Captured on Sybase Databases for z/OS -- Designing Your GoldenGate Replication Setup -- Why Choose Standard Naming Conventions? -- Naming Capture and Delivery Process -- Know Your Application -- Database Privileges for GoldenGate Users -- OGG User Permissions in Oracle Databases -- OGG User Permissions in Sybase Databases -- OGG User Permissions in IBM DB2 Databases -- OGG User Permissions in MySQL Databases -- OGG User Permissions in Teradata Databases -- Summary -- Chapter 4: Installing Oracle GoldenGate -- Download the Installer -- Setting Up Environmental Variables -- Setting Up Database Logging -- Setting Up User Privileges -- Installing Oracle GoldenGate on Unix/Linux -- Step 1: Log In as the Linux Superuser -- Step 2: Navigate to the GoldenGate Directory -- Step 3: Copy or FTP the GoldenGate Software File from the Local System or Remote Server -- Step 4: Locate the Installer -- Step 5: Begin Installation -- Step 6: Execute GGSCI -- Step 7: Create Subdirectories -- Step 8: Configure the Manager Port -- Step 9: Start/Stop the Manager -- Step 10: Check Supplemental Logging for the Database -- Step 11: Add Extracts -- Step 12: Install Oracle GoldenGate on the Target Machine -- Step 13: Add the Replicat -- Step 14: Create the Definition File -- Step 15: Enable Supplemental Logging for Oracle GoldenGate -- Step 16: Initial Data Synchronization -- Setting Up the Initial Extract Process on Source -- Setting Up the Initial Replicat Process on the Target -- Step 17: Start the Manager, Extract, and Replicat, and Test the Result -- Silent Installation -- Parameters in the Response File -- OGG Subdirectories. Handling Character Set -- Using CHARSET -- Using Escape Sequences -- Types of Escape Sequences in OGG -- Using SOURCECHARSET -- Using NLS_LANG -- Summary -- Chapter 5: Classic vs. Integrated Capture and Apply -- OGG Capture Process -- Classic Capture -- Integrated Capture -- Integrated Capture Modes -- OGG Apply Process -- Nonintegrated Apply -- Integrated Apply -- Support for Multitenant Databases -- Implementing Classic and Integrated Captures -- Creating a Classic Capture -- Creating an On-Source Integrated Capture -- Creating an Integrated Capture Using a Downstream Mining Database -- Monitoring an Integrated Capture -- Upgrading Classic Capture Mode to Integrated Capture Mode -- Creating a Classic Capture -- Upgrading to an Integrated Capture -- Implementing Classic and Integrated Apply -- Creating a Classic Apply -- Creating an Integrated Apply -- Capture and Apply Modes, Mix and Match -- Coordinated Replicat -- Summary -- Chapter 6: Capturing DDL Changes -- What Is DDL Replication? -- Types of DDL Replication -- Limitations with DDL Replication -- DDL Scope -- How Does DDL Replication Work? -- On the Source Machine -- On the Target Machine -- DDL Capture in Classic Capture Mode -- An Example of Classic Capture DDL -- DDL Capture in Integrated Capture Mode -- Selective DDL Replication with an Oracle Source DB -- Selective DDL Replication Using DDLAUX.addRule() -- Selective DDL Replication Using the DDL Parameter -- Using DUMPDDL -- DDL Replication in Active-Active Mode (Bidirectional Replication) -- DDL Replication in a Cascading Replication Setup -- DDL Replication in a Heterogeneous Environment -- Summary -- Chapter 7: Performing the Initial Load -- Preparing for the Initial Load -- Initial Load Using the Database Utility -- Initial Load Using SQLLOADER -- Initial Load Using the Direct Load Method -- Initial Load Using BULKLOAD to sqlloader. Initial Load Example -- Summary -- Part II: Advanced Configurations -- Chapter 8: Oracle GoldenGate Commands -- Data Transformation Using Column Conversion Functions -- GGSCI Commands -- Native Non-GGSCI Commands and Utilities -- DEFGEN -- KEYGEN -- LOGDUMP -- Starting LOGDUMP -- Opening a Trail -- Record Count -- Table-Level Details -- File Header Detail -- Scanning the Trail File for Data -- Summary -- Chapter 9: Advanced Processing -- Data Transformation in Oracle GoldenGate -- Data Filter Methods -- Data Transformation Methods -- Using COLMAP for Column Mapping -- Data Transformation Examples -- Using COLMATCH -- OGG User Tokens -- User Exits -- SQLEXEC -- Using SQLEXEC as a Parameter to a TABLE or MAP Statement -- Using SQLEXEC to Run Stored Procedures -- Using SQLEXEC to Run as a Stand-Alone Parameter -- Macros in Oracle GoldenGate -- Oracle GoldenGate Auditing -- Summary -- Chapter 10: Advanced Features -- Collision Handling -- HANDLECOLLISION -- CDR for Active-Active Replication -- Supported Data Types for CDR -- Types of Conflicts -- Conflicts During an INSERT Operation -- INSERTROWEXISTS -- Conflicts During an UPDATE Operation -- UPDATEROWMISSING -- UPDATEROWEXISTS -- Conflicts During a DELETE Operation -- DELETEROWMISSING -- DELETEROWEXISTS -- CDR Parameters -- CDR Example -- Enable Supplemental Logging at the Column Level -- Capture a Before Image on the Source -- Configure CDR on the Target -- Oracle GoldenGate Performance Tuning -- Best Practices for Configuring Your Oracle GoldenGate Replication Environment -- Determining the Current Performance Statistics -- Configure Your Database -- Enable Supplemental Logging -- PASSTHRU or NOPASSTHRU -- Tuning TCPBUFSIZE and TCPFLUSHBYTES -- Batch Transactions -- Use Compression -- Streams Pool for Integrated Extract and Replicat -- RANGE Splitting -- Encryption and Security. Encrypting Database Passwords -- Generating a Custom Encryption Key -- Wallet and a Master Key -- Steps for Creating a Wallet and Master Key -- Renew the Master Key -- Encrypt and Decrypt Trail Files -- Encrypt Data Sent Over a Network -- Using an Oracle GoldenGate Credential Store -- Create a Credential Store -- Add, Replace, and Delete Users in the Credential Store -- DBLOGIN Without Using the Credential Store -- DBLOGIN with Using the Credential Store -- Delete a User from the Credential Store -- Using an Alias in Your Extract Parameter File -- Summary -- Chapter 11: Upgrading Oracle GoldenGate -- Download the Patch -- Install the Patch -- Pre-upgrade Tasks -- Upgrading Oracle GoldenGate on the Source -- Take a Backup -- Install the New Version of GoldenGate -- Convert Supplemental Log Group Version -- Verify the Upgrade -- Upgrading Oracle GoldenGate on the Target -- Take a Backup -- Install the New Version of GoldenGate -- Upgrade the Checkpoint Table -- Verify the Upgrade -- Post-upgrade Tasks -- Start GoldenGate and Monitor Replication -- Summary -- Chapter 12: Bidirectional Replication -- Key Points Before Setting Up OGG Bidirectional Replication -- Handling Data Loopbacks -- Handling Data Loopbacks in Oracle Databases -- Classic Capture Mode -- Classic/Integrated Mode -- Handling Data Loopbacks in All Supported Databases -- Handling Data Loopbacks in Teradata Databases -- Handling Data Loopbacks by Identifying Replicat Transactions -- Identifying Replicat Transactions on Sybase -- Identifying Replicat Transactions on SQL Server -- CDR in Bidirectional Replication -- Setting Up OGG Bidirectional Replication -- Adding Conflict Detection and Resolution -- CDR When Machine A is a Trusted Source and Always Wins -- CDR When Both Sites Are Equally Trusted -- DBFS Configuration for OGG Bidirectional Replication. Step 1: Install the Patch for bug-9651229. EBL201712 Computing and Computers SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4731230 ebook n 201750 201712 21 PUBLIC https://catalogue.library.cern/legacy/2297944 BOOK MIGRATED 2297911 SzGeCERN 20210202231111.0 9789290926108 print version 9789290926108 electronic version electronic version 9789290926115 electronic version electronic version oai:cds.cern.ch:2297911 cerncds:BOOK EBL 3110781 eng QB500.C52 2000 522.2919 Christensen, Lars Lindberg Addressing climate change and migration in Asia and the Pacific Europe and Hubble Manila Asian Development Bank Institute 2000 94 p ebook Cover -- Contents -- List of Tables, Figures and Boxes -- Acknowledgments -- Foreword -- Executive Summary -- Introduction -- What Climate Change Means for Migration -- A. Human Mobility in the World's Most Populous Region -- B. The Need for Policy Action -- C. Structure of the Report -- Part I: Assessing the Evidence -- 1. Methodological Issues and Caveats -- A. Definitional Issues -- B. Limitations and Caveats of a Quantitative Analysis -- C. Limitations of Assessing Vulnerability -- D. Uncertainty in Local Impacts of Climate Change -- 2. Migration Patterns -- A. Key Migration Trends and Patterns -- B. East Asia -- C. Southeast Asia -- D. South Asia -- E. Central and West Asia -- F. The Pacific -- 3. Climate Change Impacts -- A. East Asia -- B. Southeast Asia -- C. South Asia -- D. Central and West Asia -- E. The Pacific -- F. Populations at Risk -- 4. How Climate Change Will Affect Migration -- A. East Asia -- B. Southeast Asia -- C. South Asia -- D. Central and West Asia -- E. The Pacific -- F. Resettlement as a last resort? -- G. Migration as an Adaptation Strategy -- Part II: Addressing the Issue -- 5. Framing Climate-Induced Migration in a Development Agenda -- A. Social Protection -- B. Disaster Risk Management -- C. Urban and Peri-Urban Planning -- D. Development and Poverty Reduction Strategies -- 6. Strengthening Adaptation Through Migration -- A. Expanding Migration Opportunities for the Poor -- B. Housing, land, and property -- C. Gender issues -- D. Remittances for adaptation -- E. Resettlement -- 7. Improving the Knowledge Base -- A. Data Collection -- B. Empirical research -- C. Research Capacities -- 8. International Cooperation -- A. Regional and International Frameworks -- B. Bilateral Arrangements -- C. National Responses -- 9. Funding Climate-Induced Migration -- A. Overview of Cost and Funding Issues. B. Costs of Climate-Induced Migration -- C. Funding Mechanisms and Organizations for Climate-Induced Migration -- D. Prospects for Climate-Induced Migration Funding -- 10. Recommendations -- A. Overarching Issues -- B. Recommended Government Actions -- 11. Conclusion -- Bibliography -- Tables -- 1 Displacement in Asia by Sudden-Onset Climate-Related and Extreme Weather Events, 2009-2011 -- 2 Estimated Displacement by Climate-Related and Extreme Weather Events, 2011 -- 3 Growth and Projected Growth of Asian Mega Cities, 1950-2025 (millions) -- 4 Forecasted Population at Risk from the Sea Level Rise in 2050, Top 10 Countries Globally (in million) -- Figures -- 1 Number of Natural Disasters Reported Worldwide, 1975-2010 -- 2 Number of People Affected by Natural Disasters Worldwide, 1975-2010 -- 3 Environmental Hot Spots in Southeast Asia -- 4 Environmental Hot Spots in South Asia -- 5 Environmental Hot Spots in Central and West Asia -- 6 Map of the Pacific -- 7 A Conceptual Framework for Climate-Induced Migration -- 8 Percentage of Population of East Asian Countries Affected by a Sea-Level Rise of 1-5 Meters -- 9 Socio-economic Vulnerability in Southeast Asia -- 10 Magnitude of Migration According to Wealth Level -- 11 How Insurance Transforms Uncertainty About a Possible Future Loss into a Fixed Up-Front Cost -- 12 How Selling Shares in a Company Transforms Uncertainty About Possible Future Losses or Gains into a Fixed Up-Front Share Price -- 13 Lost Productivity due to Forced Migration -- Boxes -- 1 Why ADB is interested in climate-induced migration -- 2 Disentangling climate change, environmental disruption, and other migration drivers -- 3 Examples of displacement caused by environmental events in developing Asia and the Pacific -- 4 Lowering Remittance Costs -- 5 Safeguards for Resettlement in Development Projects -- 6 The Nansen Principles. 7 The Colombo Process -- 8 Asylum for those Displaced by Disasters. EBL201712 Astrophysics and Astronomy SzGeCERN EBL Climatic changes -- Asia EBL Climatic changes -- Pacific Area EBL Forced migration -- Environmental aspects -- Asia BOOK Staff, Asian Development Bank https://cds.cern.ch/auth.py?r=EBLIB_P_3110781 ebook n 201750 21 PUBLIC BOOK DELETED 2297910 SzGeCERN 20210202231111.0 9789290925309 print version 9789290925309 electronic version electronic version 9789290925316 electronic version electronic version oai:cds.cern.ch:2297910 cerncds:BOOK EBL 3110780 eng QB500.262.R874 1999 520.7204 Russo, Arturo Flood risk management in the people's republic of China learning to live with flood risk Manila Asian Development Bank Institute 2012 79 p ebook Cover -- Contents -- List of Tables, Figures, and Boxes -- Currency Equivalents -- Abbreviations -- Foreword -- Acknowledgments -- Executive Summary -- 1. Introduction -- 2. Issues for Flood Management in the People's Republic of China -- A. Types of Flooding Problems -- B. Constraints in Flood Management -- 3. Strategic Framework for Integrated Flood Management -- A. Introduction to Flood Risk Management -- B. Building the Strategic Framework -- 4. Management of Flood Hazard -- A. Flood Control Infrastructure -- B. Watershed Conservation -- 5. Management of Exposure of People and Assets to Flood Hazard -- A. Exposure -- B. Management Approach -- 6. Management of Vulnerability to Danger or Damage -- A. Vulnerability -- B. Management Measures for Reducing Vulnerability -- 7. Institutional Foundation -- A. Legislation and Policy -- B. Organizational Structure -- C. Skills and Training -- D. Funding -- 8. Planning Structure -- A. Master Plans -- B. Structured Planning Methodology -- 9. Environmental and Social Safeguards -- A. General Objectives -- B. ADB's Policy on Environmental and Social Safeguards -- 10. Flood Management Initiatives in the People's Republic of China -- A. Structural Flood Defense Works -- B. Emergency Response and Post-Flood Recovery -- C. Selected Recent Initiatives -- 11. Looking to the Future -- Tables -- 1 National Impacts of Flood Disasters -- 2 Measures Modifying the Three Conditions for Flood Risk -- Figures -- 1 Types of Flooding Problems in the People's Republic of China -- 2 Strategic Framework for Flood Management -- 3 Institutional Organization for Flood Operations and Flood Fighting -- 4 General Framework of Master Planning -- 5 Flood Management Planning and Appraisal Methodology -- Boxes -- 1 The "32-Word" Policy -- 2 Wider Disaster Reduction Framework in the People's Republic of China. 3 Management of Flood Detention Areas -- 4 Integrated Water Resources Management -- 5 International Risk Management Approaches -- 6 Operation of Structural Systems -- 7 Modifying Exposure by Resettlement -- 8 Flood Forecasting with Infrastructure Operations -- 9 Indemnity versus Parametric Insurance -- 10 Flood Control Law Provisions. EBL201712 Astrophysics and Astronomy SzGeCERN BOOK Kobayashi, Yoshiaki Porter, John W https://cds.cern.ch/auth.py?r=EBLIB_P_3110780 ebook n 201750 201712 21 PUBLIC BOOK DELETED 2297806 SzGeCERN 20210421205801.0 9781119416876 print version 9781119416876 electronic version electronic version 9781119416906 electronic version electronic version oai:cds.cern.ch:2297806 cerncds:BOOK EBL 5097139 eng QA76.9.A25.D853 2018 5.8 Dulaney, Emmett Comptia Security+ study guide exam SY0-501 7th ed. Newark, NJ John Wiley & Sons 2017 517 p ebook "Cover" -- "Title Page" -- "Copyright" -- "Acknowledgments" -- "About the Authors" -- "Contents at a Glance" -- "Contents" -- "Table of Exercises" -- "Introduction" -- "Assessment Test" -- "Answers to Assessment Test" -- "Chapter 1 Managing Risk" -- "Risk Terminology" -- "Threat Assessment" -- "Risk Assessment" -- "Computing Risk Assessment" -- "Assessing Privacy" -- "Acting on Your Risk Assessment" -- "Risks Associated with Cloud Computing" -- "Risks Associated with Virtualization" -- "Developing Policies, Standards, and Guidelines" -- "Implementing Policies" -- "Understanding Control Types and False Positives/Negatives" -- "Risk Management Best Practices" -- "Change Management" -- "Summary" -- "Exam Essentials" -- "Review Questions" -- "Chapter 2 Monitoring and Diagnosing Networks" -- "Monitoring and Diagnosing Networks Terminology" -- "Frameworks, Best Practices, and Configuration Guides" -- "Industry-Standard Frameworks and Reference Architectures" -- "National Institute of Standards and Technology (NIST)" -- "Benchmarks/Secure Configuration Guides" -- "Secure Network Architecture Concepts" -- "Zones" -- "Tunneling/VPN" -- "Placing Security Devices" -- "SDN" -- "IDS vs. IPS" -- "Secure Systems Design" -- "Hardware and Firmware Security" -- "Operating Systems" -- "Peripherals" -- "Secure Staging Deployment Concepts" -- "Summary" -- "Exam Essentials" -- "Review Questions" -- "Chapter 3 Understanding Devices and Infrastructure" -- "Infrastructure Terminology" -- "Designing with Security in Mind" -- "Firewalls" -- "VPNs and VPN Concentrators" -- "Intrusion Detection Systems" -- "Router" -- "Switch" -- "Proxy" -- "Load Balancer" -- "Access Point" -- "SIEM" -- "DLP" -- "Network Access Control (NAC)" -- "Mail Gateway" -- "Bridge" -- "SSL/TLS Accelerators" -- "SSL Decryptors" -- "Media Gateway" -- "Hardware Security Module" -- "Summary". "Exam Essentials" -- "Review Questions" -- "Chapter 4 Identity and Access Management" -- "Using Tools to Assess Your Network" -- "Protocol Analyzer" -- "Network Scanners" -- "Password Cracker" -- "Vulnerability Scanners" -- "Command-Line Tools" -- "Additional Tools" -- "Troubleshooting Common Security Issues" -- "Access Issues" -- "Configuration Issues" -- "Security Technologies" -- "Intrusion Detection Systems" -- "Antimalware" -- "Firewalls and Related Devices" -- "Other Systems" -- "Identity and Access Management Concepts" -- "Identification vs. Authentication" -- "Authentication (Single Factor) and Authorization" -- "Multifactor Authentication" -- "Biometrics" -- "Federations" -- "Potential Authentication and Access Problems" -- "LDAP" -- "PAP, SPAP, and CHAP" -- "Kerberos" -- "Working with RADIUS" -- "TACACS, TACACS+, XTACACS" -- "OATH" -- "One-Time Passwords" -- "SAML" -- "Install and Configure Identity and Access Services" -- "Mandatory Access Control" -- "Discretionary Access Control" -- "Role-Based Access Control" -- "Rule-Based Access Control" -- "ABAC" -- "Smartcards" -- "Tokens" -- "File and Database Security" -- "Summary" -- "Exam Essentials" -- "Review Questions" -- "Chapter 5 Wireless Network Threats" -- "Wireless Threat Terminology" -- "Wireless Vulnerabilities to Know" -- "Replay" -- "Rogue APs and Evil Twins" -- "Jamming" -- "WPS" -- "Bluejacking" -- "Bluesnarfing" -- "NFC and RFID" -- "Disassociation" -- "Wireless Commonsense" -- "Wireless Attack Analogy" -- "Summary" -- "Exam Essentials" -- "Review Questions" -- "Chapter 6 Securing the Cloud" -- "Cloud-Related Terminology" -- "Working with Cloud Computing" -- "Software as a Service (SaaS)" -- "Platform as a Service (PaaS)" -- "Infrastructure as a Service (IaaS)" -- "Private Cloud" -- "Public Cloud" -- "Community Cloud" -- "Hybrid Cloud" -- "Working with Virtualization". "Understanding Hypervisors" -- "Understanding Containers and Application Cells" -- "VDI/VDE" -- "On-Premise vs. Hosted vs. Cloud" -- "VM Escape Protection" -- "VM Sprawl Avoidance" -- "Security and the Cloud" -- "Cloud Access Security Brokers" -- "Cloud Storage" -- "Security as a Service" -- "Summary" -- "Exam Essentials" -- "Review Questions" -- "Chapter 7 Host, Data, and Application Security" -- "Threat Actors and Attributes" -- "Script Kiddies" -- "Hacktivist" -- "Organized Crime" -- "Nation-States/APT" -- "Insiders" -- "Competitors" -- "Use of Open Source Intelligence" -- "Types of Vulnerabilities" -- "Configuration Issues" -- "User Issues" -- "Zero-Day Exploits" -- "Other Issues" -- "Embedded Systems Security" -- "Application Vulnerabilities" -- "Input Vulnerabilities" -- "Memory Vulnerabilities" -- "Secure Programming" -- "Programming Models" -- "Software Testing" -- "Specific Types of Testing" -- "Secure Coding Standards" -- "Application Configuration Baselining" -- "Operating System Patch Management" -- "Application Patch Management" -- "Other Application Security Issues" -- "Databases and Technologies" -- "Database Security" -- "Secure Configurations" -- "Code Issues" -- "Summary" -- "Exam Essentials" -- "Review Questions" -- "Chapter 8 Cryptography" -- "An Overview of Cryptography" -- "Historical Cryptography" -- "Modern Cryptography" -- "Working with Symmetric Algorithms" -- "Working with Asymmetric Algorithms" -- "Cryptography Concepts" -- "Hashing Algorithms" -- "Rainbow Tables and Salt" -- "Key Stretching" -- "Cryptanalysis Methods" -- "Wi-Fi Encryption" -- "Using Cryptographic Systems" -- "Confidentiality and Strength" -- "Integrity" -- "When to Encrypt" -- "Digital Signatures" -- "Authentication" -- "Nonrepudiation" -- "Key Features" -- "Understanding Cryptography Standards and Protocols" -- "The Origins of Encryption Standards". "Public Key Infrastructure X.509/Public Key Cryptography Standards" -- "X.509" -- "Public Key Infrastructure" -- "Pretty Good Privacy" -- "SSL and TLS" -- "Using Public Key Infrastructure" -- "Hardware-Based Encryption Devices" -- "Data Encryption" -- "Authentication" -- "Summary" -- "Exam Essentials" -- "Review Questions" -- "Chapter 9 Threats, Attacks, and Vulnerabilities" -- "Threat and Attack Terminology" -- "Living in a World of Viruses" -- "Symptoms of a Virus Infection" -- "How Viruses Work" -- "Types of Viruses" -- "Managing Spam to Avoid Viruses" -- "Antivirus Software" -- "Malware and Crypto-Malware" -- "Understanding Various Types of Application/Service Attacks" -- "Identifying Denial-of-Service and Distributed Denial-of-Service Attacks" -- "Man-in-the-Middle Attacks" -- "Buffer Overflow" -- "Injection" -- "Cross-Site Scripting and Request Forgery" -- "Privilege Escalation" -- "ARP Poisoning" -- "Amplification" -- "DNS Poisoning" -- "Domain Hijacking" -- "Man-in-the-Browser" -- "Zero-Day Exploits" -- "Replay Attacks" -- "Pass the Hash" -- "Hijacking and Related Attacks" -- "Driver Manipulation" -- "MAC and IP Spoofing Attacks" -- "Summary" -- "Exam Essentials" -- "Review Questions" -- "Chapter 10 Social Engineering and Other Foes" -- "Social Engineering and Physical Security Terminology" -- "Understanding Social Engineering" -- "Types of Social Engineering Attacks" -- "What Motivates an Attack?" -- "The Principles Behind Social Engineering" -- "Social Engineering Attack Examples" -- "Understanding Physical Security" -- "Lighting" -- "Signs" -- "Fencing, Gates, and Cages" -- "Security Guards" -- "Alarms" -- "Safe" -- "Secure Cabinets and Enclosures" -- "Protected Distribution" -- "Protected Cabling" -- "Airgap" -- "Mantrap" -- "Faraday Cage" -- "Lock Types" -- "Biometrics" -- "Barricades/Bollards" -- "Tokens/Cards". "Environmental Controls" -- "Cable Locks" -- "Screen Filters" -- "Cameras" -- "Motion Detection" -- "Logs" -- "Infrared Detection" -- "Key Management" -- "Various Control Types" -- "An Analogy of Control Types" -- "Data Security and Privacy Practices" -- "Data Destruction and Media Sanitation" -- "Data Sensitivity Labeling and Handling" -- "Data Roles" -- "Data Retention" -- "Legal and Compliance" -- "Summary" -- "Exam Essentials" -- "Review Questions" -- "Chapter 11 Security Administration" -- "Connection Types" -- "Cellular" -- "Bluetooth" -- "Wi-Fi" -- "Infrared" -- "SATCOM" -- "Mobile Devices" -- "BYOD Issues" -- "Enforcement" -- "Account Management Concepts" -- "Account Types" -- "General Concepts" -- "Summary" -- "Exam Essentials" -- "Review Questions" -- "Chapter 12 Disaster Recovery and Incident Response" -- "Disaster and Incident Related Terminology" -- "Penetration Testing" -- "What Should You Test?" -- "Vulnerability Scanning" -- "Issues Associated with Business Continuity" -- "Types of Storage Mechanisms" -- "Crafting a Disaster-Recovery Plan" -- "Incident Response Procedures" -- "Understanding Incident Response" -- "Tabletop Exercises" -- "Summary" -- "Exam Essentials" -- "Review Questions" -- "Appendix Answers to Review Questions" -- "Chapter 1: Managing Risk" -- "Chapter 2: Monitoring and Diagnosing Networks" -- "Chapter 3: Understanding Devices and Infrastructure" -- "Chapter 4: Identity and Access Management" -- "Chapter 5: Wireless Network Threats" -- "Chapter 6: Securing the Cloud" -- "Chapter 7: Host, Data, and Application Security" -- "Chapter 8: Cryptography" -- "Chapter 9: Threats, Attacks, and Vulnerabilities" -- "Chapter 10: Social Engineering and Other Foes" -- "Chapter 11: Security Administration" -- "Chapter 12: Disaster Recovery and Incident Response" -- "Index" -- "Advert". EBL201712 Computing and Computers SzGeCERN BOOK Easttom, Chuck https://cds.cern.ch/auth.py?r=EBLIB_P_5097139 ebook n 201749 201712 21 PUBLIC https://catalogue.library.cern/legacy/2297806 BOOK MIGRATED 2297764 SzGeCERN 20210421205808.0 9783319623009 print version 9783319623009 electronic version electronic version 9783319623016 electronic version electronic version oai:cds.cern.ch:2297764 cerncds:BOOK EBL 5047809 eng QC71.82-73.8 621.042 Ushakov, Vasily Y Electrical power engineering current state, problems and perspectives Cham Springer 2017 269 p ebook Green energy and technology Preface -- Contents -- Abbreviations -- 1 Power Engineering as a Basis for Progress of Civilization -- 1.1 Main Concepts and Definitions -- 1.2 Influence of Power Engineering on the Development of Humanity -- Reference -- 2 From the History of Electrical Power Engineering -- 2.1 Formation of Electrical Engineering as an Independent Engineering Branch (1870-1890) -- 2.2 Next Stages of Power Engineering-Sustainable Formation and Development -- References -- 3 The Earth's Energy Resources (Reserves, Short Characteristics) -- 3.1 Traditional Non-renewable Energy Resources -- 3.1.1 Coal -- 3.1.2 Oil -- 3.1.3 Natural Gas -- 3.1.4 Nuclear Energy -- 3.2 Backup Fuel (Subsidiary Mineral Fuel) -- 3.2.1 Slate Coal -- 3.2.2 Bituminous Sandstone -- 3.2.3 Gas Hydrate -- 3.2.4 Associated Petroleum Gas -- 3.2.5 Mine Methane (Coal Methane) -- 3.2.6 Syngas -- References -- 4 Electric Power Production -- 4.1 Choice of the Electric Power Generation Type -- 4.2 Powerful Power Plant Based on Non-renewable Mineral Energy Resources -- 4.2.1 Features of the Use of Coal in the Energy Sector -- 4.2.2 Improvement of the Furnace Construction and Technology of Coal Firing -- 4.2.3 Improving the Quality of Coal Fuel -- 4.3 Cogeneration -- 4.4 Small-Scale Power Generation: Current State and Prospects -- 4.4.1 Distribution Areas of Small-Scale Power Generation -- 4.4.2 Small-Scale Distributed Power Generation Functioning on Organic Fuel -- 4.4.2.1 Gas-Turbine Power Installations -- 4.4.2.2 Piston Installations -- 4.4.2.3 Stirling Engine -- 4.4.2.4 Turbo-expander Generators -- 4.5 Nuclear Power Engineering -- 4.5.1 Current State and Prospects for the Development of Nuclear Power Plants with Uranium Fuel Cycle -- 4.5.2 Intermediate and Low-Power Nuclear Stations Including Floating Ones -- 4.5.3 Nuclear Power Plants with Fast Neutron Reactors -- 4.5.4 Closed Nuclear Fuel Cycle. References -- 5 Electric Power Engineering on the Basis of Renewable Energy Sources -- 5.1 Necessity of Searching for New Energy Sources -- 5.2 Harnessing of Water Flow of Rivers and Energy of Other Streams -- 5.2.1 Large-Scale Hydraulic Power Engineering (Base on Traditional Hydroelectric Power Plants) -- 5.2.2 Mini Hydro Power Plants -- 5.3 Bioenergetics -- 5.3.1 Biomass -- 5.3.2 Peat -- 5.4 Wind Power Plants -- 5.5 Solar Power Engineering -- 5.5.1 Electric Energy Production -- 5.5.2 Thermal Energy Production -- 5.6 Tidal and Wave Power Plants -- 5.6.1 Tidal Power Plants -- 5.6.2 Wave Power Plants -- 5.7 Geothermal Power Plants -- 5.8 Other Renewable Energy Sources for Electricity Production -- 5.8.1 Ocean and Sea Currents Energy -- 5.8.2 Thermal Energy of Ocean and Sea Water -- 5.8.3 Osmotic Energy -- References -- 6 Energy Transmission and Distribution -- 6.1 Main Stages in the Development of Power Transmission Systems in the XXth and in the First Part of the XXIst Century -- 6.2 Main Tendencies in the Development of Power Transmission Systems -- 6.3 Technical Problems of the Electric Grid Complex -- 6.3.1 Provision of Uninterrupted Electric Grids -- 6.3.2 Minimization of Electric Power Transmission Losses -- 6.3.2.1 Increasing the Power Factor -- 6.3.2.2 Regulation of RP in Power Systems -- 6.3.2.3 Regulation of RP in the Power Supply Systems with Nonlinear Load -- 6.3.2.4 Decrease of Energy Losses in Transformers -- 6.3.3 Power Quality -- 6.3.4 Electromagnetic Compatibility -- 6.4 A Look at the Future Development of Power Transmission Systems -- 6.4.1 Micro-grids -- 6.4.2 Strong Grid on the Basis of Flexible Alternative Current Transmission Systems -- 6.4.3 Smart Grid -- 6.4.4 Direct Current Transmission Lines -- References -- 7 Energy Accumulation (Store) -- 7.1 Systematization -- 7.2 Electric Energy Storages. 7.2.1 Capacitive Energy Storages -- 7.2.2 Storage-Batteries -- 7.2.3 Superconductive Inductive Energy Storages -- 7.3 Potential and Kinetic Energy Storages -- 7.3.1 Pumped Storage Power Plants -- 7.3.2 Air-Compression Energy Storages -- 7.3.3 Inertial Energy Storages (Flywheels and Super-Flywheels) -- 7.3.4 Electromechanical Drive Storages -- Reference -- 8 Power Engineering and the Biosphere -- 8.1 Power Engineering as the Threat to the Biosphere -- 8.2 Short Analysis of the Trends in Electric Energy Generation and Consumption in Aspect of the Influence on Environment -- 8.3 Main Sources of Threats to the Environment in Different Sectors of Fuel and Energy Complex -- 8.3.1 Activities in the Resource Sectors -- 8.3.2 Energy Generation -- 8.3.3 Energy Transmission and Distribution -- 8.4 Look of the International Community of the Environmental Protection Problem -- References -- 9 Unconventional (Alternative) Methods of Electric Energy Production -- 9.1 Thermonuclear Power Engineering (Controlled Thermonuclear Fusion) -- 9.1.1 Tokamak -- 9.1.2 Inertial (Pulsed) Thermonuclear Fusion -- 9.2 Hydrogen Power Engineering (Based on Fuel Cells) -- References -- Conclusion. EBL201712 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5047809 ebook n 201749 201712 21 PUBLIC https://catalogue.library.cern/legacy/2297764 BOOK MIGRATED 2297756 SzGeCERN 20210421205809.0 9783319449791 print version 9783319449791 electronic version electronic version 9783319449814 electronic version electronic version oai:cds.cern.ch:2297756 cerncds:BOOK EBL 5043122 eng QA75.5-76.95 004 Xu, Dong Health informatics data analysis methods and examples Cham Springer 2017 214 p ebook Health information science Preface -- Contents -- 1 Global Nonlinear Fitness Function for Protein Structures -- Abstract -- Introduction -- Theory and Models -- Modeling Protein Fitness Function -- Two Geometric Views of Linear Protein Potentials -- Optimal Linear Fitness Function -- Relation to Support Vector Machines -- Nonlinear Scoring Function -- Optimal Nonlinear Fitness Function -- Rectangle Kernel and Reduced Support Vector Machine (RSVM) -- Smooth Newton Method -- Computational Procedures -- Protein Data -- Contact Maps and Sequence Decoys -- Learning Linear Fitness Function -- Learning Full Nonlinear Fitness Function -- Learning Simplified Nonlinear Fitness Function -- Results -- Linear Fitness Functions -- Full Nonlinear Fitness Function -- Results of Simplified Nonlinear Fitness Function -- Discussion -- References -- 2 Computational Methods for Mass Spectrometry Imaging: Challenges, Progress, and Opportunities -- Abstract -- Introduction -- Challenges -- Challenge 1: Integration of MSI Data with Complementary Imaging Modalities -- Challenge 2: Movement Toward MSI from Three-Dimensional Samples -- Challenge 3: Reproducibility, Data Standardization, and Community Resources -- Current Techniques in MSI Analysis -- Case Study -- Conclusion -- Acknowledgements -- References -- 3 Identification and Functional Annotation of LncRNAs in Human Disease -- Abstract -- Background -- Current Bioinformatics Methods -- Identify Associated lncRNAs in Human Diseases -- By Microarray -- By RNA-seq -- Annotated the Functions of Associated lncRNAs in Human Diseases Based on Co-expression Network -- Further Analysis of LncRNAs After Identification and Functional Annotation -- Challenges and Current Problems -- Example -- Identification of Differentially Expressed lncRNAs in Gastric Cancer -- Conclusion -- References -- 4 Metabolomics Characterization of Human Diseases -- Abstract. Background -- Challenges -- Current Techniques -- Example One-Pathway Analysis To Understand the Change of Pattern in Metabolomics Profiles -- Example Two-Development of a Classification Model Using Metabolite Biomarkers for Discriminating Disease Samples from Controls -- Conclusions -- References -- 5 Metagenomics for Monitoring Environmental Biodiversity: Challenges, Progress, and Opportunities -- Abstract -- Introduction -- Sampling and Experimental Design -- Metagenomic Sequencing and Preprocessing -- Metagenomic Data Analyses -- Platforms -- Example: Bacteria 16S RRNA Metagenomics Pipeline -- Conclusion -- References -- 6 Clinical Assessment of Disease Risk Factors Using SNP Data and Bayesian Methods -- Abstract -- Promise and Complexity of Personalized Medicine -- Whole-Genome Association Studies -- Beyond Single-Locus Analysis -- Modern Bioinformatics Approaches -- Bayesian Data Analysis Methods -- Overview of Bayesian Data Analysis -- Overview of Bayesian Variable Partition -- Epistasis Analysis Methods -- Incorporating Block-Type Genome Structure -- Detailed Interaction Partition Structure Determination -- Bayesian Graph Models and Networks -- Clinical Applications of Bayesian Methodology -- Conclusions and Future Prospects -- Acknowledgements -- References -- 7 Imaging Genetics: Information Fusion and Association Techniques Between Biomedical Images and Genetic Factors -- Abstract -- Background -- Challenges -- Current Techniques -- Conclusion -- Example: Using Parallel ICA to Analyze fMRI and SNP Data Sets in Schizophrenia -- References -- 8 Biomedical Imaging Informatics for Diagnostic Imaging Marker Selection -- Abstract -- Introduction -- Challenges -- Image Artifacts -- Batch Effects -- Object Detection -- Semantic Gap -- Marker Selection -- Marker Validation -- Current Techniques. Quality Control Methods for Addressing Image Artifacts and Batch Effects -- Image Segmentation Methods for Object Detection -- Image Feature Extraction for Biologically Interpretable Markers -- Feature Selection for Imaging Marker Selection -- Classification for In-Silico Marker Validation -- Case Study: Imaging Marker Selection for Tumor Versus Nontumor Classification -- Conclusion -- References -- 9 ECG Annotation and Diagnosis Classification Techniques -- Abstract -- Background -- Technology Roadmap -- ECG Acquisition -- ECG Signal Preprocessing -- ECG Feature Extraction and Classification -- Supervised and Unsupervised Learning Methods in ECG Classification -- Deep Learning in ECG Classification: A Preliminary Study-Based on Deep Sparse Autoencoder -- Deep Neural Networks -- Autoencoders and Sparsity -- Representation Learning -- Fine-Tuning and Classifier -- Experiments and Results -- Datasets Preparation -- Classification Workflow -- Classifier Performance Assessment -- Results -- Comparison with Other Work -- Deep Learning in ECG Classification: A Two-Lead ECG Classification Based on Deep Belief Network -- The Deep Belief Network and Classifier -- The Restricted Boltzmann Machine -- Classifier and the Training of Multi-layer RBM -- Combined Optimization Algorithm for Multi-lead Classifiers -- Experiment and Results -- Preprocessing and Segmentation -- Training and Fine-Tuning -- Experiment Results -- Conclusion -- References -- 10 EEG Visualization and Analysis Techniques -- Abstract -- Background -- Challenges -- Current Techniques -- Example One: Composition of EEG Headset -- Example Two: Analysis of Meditation State -- An Empirical Study -- A Platform for Cumulative Brain State Modeling -- Conclusion -- References -- 11 Big Health Data Mining -- Abstract -- Introduction -- Data Level -- Molecular Level -- Tissue Level. Patient/Person Level -- Population Level -- Heterogeneity of Big Health Data -- Techniques -- A Showcase -- Background -- Data and Methods -- Previous Reports About the Basic Risk Factors of IM -- Age -- Gender -- Other Diseases -- Other Potential Factors -- Conclusion -- Summary -- References -- 12 Computational Infrastructure for Telehealth -- Abstract -- Introduction to Telehealth -- Architecture of Telehealth Systems -- Overview -- Data Analytics -- Use Case: Telehealth Solution for Hypertension Management -- Data Structure and Analytics -- Implementation of Telehealth System for Hypertension Management -- Conclusion -- Acknowledgements -- References -- 13 Healthcare Data Mining, Association Rule Mining, and Applications -- Abstract -- Background of Data Mining Methods and Challenges -- Classification -- Clustering -- A New Technique for Comprehensive Association Discovery: Association Rule Mining -- Principle of Association Rule Mining -- An Example of Association Rule Mining System for Healthcare Data Mining -- An Example of the Association Rule Mining System in Predictive Health -- Challenges of Current Association Rule Mining and Possible Solutions -- Conclusion -- References. EBL201712 Computing and Computers SzGeCERN BOOK Wang, May D Zhou, Fengfeng Cai, Yunpeng https://cds.cern.ch/auth.py?r=EBLIB_P_5043122 ebook n 201749 201712 21 PUBLIC https://catalogue.library.cern/legacy/2297756 BOOK MIGRATED 2297745 SzGeCERN 20210421205811.0 9783662554968 print version 9783662554968 electronic version electronic version 9783662554982 electronic version electronic version oai:cds.cern.ch:2297745 cerncds:BOOK EBL 5015931 eng QC71.82-73.8 621.042 Chen, Bin Biogas systems in China Berlin Springer 2017 166 p ebook Preface -- Acknowledgements -- Contents -- About the Authors -- List of Figures -- List of Tables -- 1 History of Biogas Production in China -- Abstract -- 1.1 The History of Biogas in China -- 1.2 Significance of Developing Biogas in China -- 1.3 Policies for Biogas Projects -- 1.3.1 Energy Policies for Biogas Projects -- 1.3.2 Environmental Policies for Biogas Projects -- 1.3.3 Economic Policies for Biogas Projects -- 1.3.4 Standards for Biogas Projects -- 1.4 Development of Biogas Industrialization -- 1.4.1 Introduction of Biogas Production -- 1.4.2 Biogas Plant Industry -- 1.4.3 Biogas Equipment Industry -- 1.4.4 Biogas Service Industry -- 1.5 Development Planning for Biogas Production -- 1.5.1 Developing Motion of Biogas Production -- 1.5.2 Rural Biogas Development Policies -- References -- 2 Main Methods -- Abstract -- 2.1 Life-Cycle Assessment (LCA) -- 2.1.1 Background of LCA -- 2.1.2 Methodology of LCA -- 2.1.3 LCA-Based Integrated Evaluation Indices -- 2.2 Economic Assessment -- 2.2.1 Cost-Benefit Analysis -- 2.2.2 Data Envelopment Analysis (DEA) -- 2.3 Emergy Analysis -- 2.3.1 Emergy Concept -- 2.3.2 Emergy Diagram -- 2.3.3 Emergy Indices -- 2.3.4 Emergetic Ternary Diagrams -- 2.4 Extended Exergy Analysis -- 2.4.1 Extended Exergy Analysis Framework -- 2.4.2 Extended Exergy-Based Sustainability Indexes -- 2.5 Analytic Hierarchy Process -- References -- 3 Four Typical Biogas Systems in China -- Abstract -- 3.1 "Six-in-One" Biogas System (SIOBS) -- 3.1.1 Biogas Plant Construction Stage -- 3.1.2 Biogas Plant Maintenance Stage -- 3.1.3 Feedstock Supply Stage -- 3.1.4 Biogas Energy Utilization Stage -- 3.1.5 Digestate Processing Stage -- 3.2 Biogas-Persimmon Cultivation and Processing System (BCPS) -- 3.2.1 Biogas Infrastructure (Fraction I) -- 3.2.2 Biogas System Operation (Fraction II). 3.2.3 Digestate Reuse for Persimmon Cultivation (Fraction III) -- 3.2.4 Biogas Utilization for Persimmon Processing (Fraction IV) -- 3.3 Wastewater Treatment Plants (WWTPs) -- 3.3.1 WWTP Construction Stage -- 3.3.2 WWTP Operation and Maintenance Stage -- 3.3.3 Biogas-Sludge Use Stage -- 3.4 "Three-in-One" Biogas Project -- References -- 4 Environment Emissions of Household Biogas Project -- Abstract -- 4.1 Biogas-Persimmon Cultivation and Processing System (BCPS) -- 4.1.1 Emissions Inventory -- 4.1.2 GHG Emissions Mitigation -- 4.2 Wastewater Treatment Plants (WWTPs) -- 4.2.1 Emissions Inventory -- 4.2.2 Environmental Impact Mitigation -- 4.3 'Six in One' Biogas System (SIOBS) -- 4.3.1 System Inventory -- 4.3.2 Overall Environmental Evaluation -- 4.3.3 Sensitivity Analysis -- 4.3.4 Digestate Reuse -- 4.3.5 Environmental Benefit Under Different Scenarios -- References -- 5 Energy Evaluation of Household Biogas Project -- Abstract -- 5.1 Life-Cycle Energy Evaluation -- 5.2 Case Study of BCPS -- 5.3 "Six in One" Biogas System (SIOBS) -- 5.3.1 Overall Energy Evaluation -- 5.3.2 Sensitivity Analysis -- 5.3.3 Environmental Benefit Under Different Scenarios -- 5.3.4 Digestate Reuse -- 5.4 Wastewater Treatment Plants (WWTPs) -- 5.4.1 Energy Input-Output Analysis -- 5.4.2 System Energy Production -- 5.4.3 Sensitivity Analysis -- References -- 6 Economic Assessment of Household Biogas Project -- Abstract -- 6.1 Economic Feasibility Analysis -- 6.1.1 System Boundary -- 6.1.2 Economic Costs and Benefits -- 6.1.3 Financial Analysis -- 6.2 DEA Analysis -- 6.2.1 Input and Output Variables -- 6.2.2 Economic Efficiency Evaluation -- 6.2.3 Economic Efficiency Optimization -- 6.3 Policy Implication -- References -- 7 Emergy Analysis of Biogas-Linked Agricultural System -- Abstract -- 7.1 Emergy Analysis -- 7.1.1 Methodology -- 7.1.2 Results and Discussion. 7.1.3 Concluding Remarks -- 7.2 Scenarios Analysis Based on Emergy Analysis -- 7.2.1 Materials and Methods -- 7.2.2 Emergy-Based Analysis of BLAS -- 7.2.3 Scenario Analysis -- 7.2.4 Discussion and Conclusions -- 7.3 Three-Level Emergetic Evaluation -- 7.3.1 Materials and Methods -- 7.3.2 Results and Discussion -- 7.3.3 Conclusions -- References -- 8 Sustainability and Indicator System -- Abstract -- 8.1 Extended Exergy-Based Sustainability Accounting -- 8.1.1 System Boundary -- 8.1.2 Results and Discussion -- 8.1.3 Conclusions -- 8.2 Indicator System for Impact Assessment -- 8.2.1 Data Sources -- 8.2.2 Analytic Hierarchic Process -- 8.2.3 Results and Discussion -- 8.2.4 Conclusions -- References. EBL201712 Engineering SzGeCERN BOOK Hayat, Tasawar Alsaedi, Ahmed https://cds.cern.ch/auth.py?r=EBLIB_P_5015931 ebook n 201749 201712 21 PUBLIC https://catalogue.library.cern/legacy/2297745 BOOK MIGRATED 2297728 SzGeCERN 20210421205815.0 9783319623498 print version 9783319623498 electronic version electronic version 9783319623504 electronic version electronic version oai:cds.cern.ch:2297728 cerncds:BOOK EBL 4987741 eng QC71.82-73.8 621.042 Soroudi, Alireza Power system optimization modeling in GAMS Cham Springer 2017 309 p ebook Preface -- Acknowledgments -- Contents -- List of Figures -- List of Tables -- 1 Introduction to Programming in GAMS -- 1.1 Optimization Problems in Power System -- 1.2 GAMS Installation -- 1.3 GAMS Elements -- 1.4 Conditional Statements -- 1.5 Loop Definition in GAMS -- 1.5.1 LOOP Statement -- 1.5.2 WHILE Statement -- 1.5.3 FOR Statement -- 1.5.4 REPEAT-UNTIL Statement -- 1.6 Linking GAMS and Excels -- 1.6.1 Reading from Excel -- 1.6.2 Writing to Excel -- 1.7 Error Debugging in GAMS -- 1.8 General Programming Remarks -- 1.9 Book Structure -- References -- 2 Simple Examples in GAMS -- 2.1 Different Types of Optimization Models -- 2.1.1 Linear Programming (LP) -- 2.1.1.1 LP Example -- 2.1.1.2 Boundary Determination Example -- 2.1.2 Mixed Integer Programming (MIP) -- 2.1.2.1 MIP Example -- 2.1.2.2 N-Queen Example -- 2.1.2.3 Emergency Center Allocation -- 2.1.3 Nonlinear Programming (NLP) -- 2.1.3.1 NLP Example (2.14) -- 2.1.3.2 Circle Placement Example (2.15) -- 2.1.3.3 Maximizing the Area of a Right Triangle with Constant Circumference -- 2.1.4 Quadratic Constrained Programming (QCP) -- 2.1.4.1 QCP Example (2.17) -- 2.1.4.2 QCP Example (2.18) -- 2.1.5 Mixed Integer Nonlinear Programming (MINLP) -- 2.1.5.1 Minimum Transportation Cost Example (2.19) -- 2.1.5.2 Benefit Maximization Transportation Example (2.20) -- 2.2 Random Numbers in GAMS -- 2.2.1 Estimating the p Number -- 2.2.2 Integration Calculation -- 2.2.3 LP Problems with Uncertain Coefficients -- 2.3 Multi-Objective Optimization -- 2.3.1 Weighted Sum Approach -- 2.3.2 Pareto Optimality -- 2.4 Applications -- References -- 3 Power Plant Dispatching -- 3.1 Thermal Unit Economic Dispatch -- 3.2 Thermal Unit Environmental Dispatch -- 3.3 CHP Economic Dispatch -- 3.4 Hydro Unit Economic Dispatch -- 3.5 Multi-Area Mix Unit Dynamic Dispatch -- 3.6 Applications -- Nomenclature -- References. 8 4 Dynamic Economic Dispatch -- 4.1 Cost-Based DED -- 4.1.1 Ramp Rate Sensitivity Analysis -- 4.1.2 Multi-Objective Cost-Emission Minimization -- 4.1.3 Wind Integrated DED -- 4.2 Price-Based DED -- 4.2.1 Price-Based DED Just Energy Market -- 4.2.2 Price-Based DED Energy and Reserve Market -- 4.3 Linearized Cost-Based DED -- 4.4 Applications -- Nomenclature -- References -- 5 Unit Commitment -- 5.1 Cost-Based Unit Commitment -- 5.1.1 Cost Calculation -- 5.1.2 Ramp Rate Constraints -- 5.1.3 Min Up/Down Time Constraints -- 5.1.4 Demand-Generation Balance -- 5.2 Cost-Based UC with Additional Constraints -- 5.2.1 Cost-Based UC with Reserve Constraints -- 5.2.2 Cost-Based UC Considering Generator Contingency -- 5.2.3 Cost-Based UC with Demand Flexibility Constraints -- 5.3 Price-Based Unit Commitment -- 5.4 Applications -- 5.4.1 Cost-Based UC -- 5.4.2 Price-Based UC -- References -- 6 Multi-Period Optimal Power Flow -- 6.1 Single Period Optimal DC Power Flow -- 6.1.1 Three-Bus Network DC-OPF -- 6.1.2 Five-Bus Network DC-OPF -- 6.1.3 IEEE Reliability Test System 24 Bus -- 6.1.3.1 IEEE-RTS: Base Case -- 6.1.3.2 IEEE-RTS: Branch Flow Limit Reduction -- 6.1.3.3 IEEE-RTS: Branch Outage -- 6.1.3.4 IEEE-RTS: Generator Outage -- Nomenclature -- 6.2 Multi-Period Optimal Wind-DC OPF -- Nomenclature -- 6.3 Multi-Period Optimal AC Power Flow -- Nomenclature -- References -- 7 Energy Storage Systems -- 7.1 Introduction -- 7.2 ESS Operation -- 7.2.1 ESS Operation in DED -- 7.2.2 ESS Operation in Wind-DED Problem -- 7.2.3 ESS Operation in DC-OPF -- 7.2.4 ESS Operation in AC-OPF -- 7.3 ESS Allocation -- Nomenclature -- 7.4 Applications -- References -- 8 Power System Observability -- 8.1 Min No. PMU Placement -- 8.2 Min Cost PMU placement -- 8.3 Min No. PMU Placement Considering ZIB -- 8.4 Min No. PMU Placement for Maximizing the Observability. 8 8.5 Min No. PMU Placement Considering Contingencies -- 8.5.1 Loss of PMU -- 8.5.2 Single Line Outage -- 8.6 Multistage PMU Placement -- 8.7 Applications -- References -- 9 Topics in Transmission Operation and Planning -- 9.1 Transmission Network Planning -- 9.1.1 TEP with New Lines Option -- 9.1.1.1 Two Years Planning Period -- 9.1.1.2 Ten Years Planning Period -- 9.1.2 TEP with New Lines and Power FlowController Option -- Nomenclature -- 9.2 Sensitivity Factors in Transmission Networks -- 9.2.1 Generation Shift Factors -- 9.2.1.1 Demand Increase in L2 by 10MW -- 9.2.1.2 Generation Increase in Pg3 by 10MW -- 9.2.2 Line Outage Distribution Factors -- 9.3 Transmission Network Switching -- References -- 10 Energy System Integration -- 10.1 Water-Power Nexus -- 10.2 Gas-Power Nexus -- 10.3 Energy Hub Concept -- 10.3.1 Data -- 10.3.2 Configuration I -- 10.3.3 Configuration II -- 10.3.4 Configuration III -- References -- Index. EBL201712 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4987741 ebook n 201749 201712 21 PUBLIC https://catalogue.library.cern/legacy/2297728 BOOK MIGRATED 2297688 SzGeCERN 20210421205822.0 9783319570686 print version 9783319570686 electronic version electronic version 9783319570709 electronic version electronic version oai:cds.cern.ch:2297688 cerncds:BOOK EBL 4926890 eng QC71.82-73.8 004.24 Issa, Tomayess Sustainability, green IT and education strategies in the twenty-first century Cham Springer 2017 606 p ebook Green energy and technology Foreword -- Preface -- References -- Acknowledgements -- Contents -- Changing the Students' Mind-set via Sustainability -- 1 Introduction -- 2 What is Sustainability? -- 3 Sustainability in the Higher Education Curriculum - ITS65 Unit -- 3.1 Reflective Journal Assessment -- 3.2 Individual Presentation of an IT Sustainable Strategy & Report Writing -- 3.3 Wiki Tool -- 4 Methodology and Research Question -- 5 Participants -- 6 Results -- 7 Discussion and Lessons Learned -- 8 Conclusion -- References -- Sustainability Perspective and Awareness Amongst Higher Education in Australia -- 1 Introduction -- 2 What is Sustainability? -- 3 Research Method and Questions -- 4 Results -- 5 Discussion and New Findings -- 6 Conclusion -- References -- Sustainable Development, Ethics, Strategy and International Higher Education: The Case of Australia and France -- 1 Introduction -- 2 Literature Review -- 2.1 Sustainability, Ethics and Global Business -- 2.2 Reflection and Critical Reflective Thinking -- 3 Methodology and Discussions -- 3.1 Teaching Methods -- 3.2 Course (Unit) Development and Discussions -- 3.3 Course (Unit) Delivery Mode and Discussions -- 3.4 Assessments and Discussions -- 4 Lecturer/Facilitator's Personal Reflection -- 4.1 Limitations and Implications -- 5 Conclusion -- Acknowledgements -- References -- From Understanding Net Generation Expectation to Sustainable Student Engagement -- 1 Introduction -- 2 What Is Student Engagement? -- 3 Learning Theories -- 3.1 Constructivism -- 3.2 Social Constructivism -- 3.3 Cognitive Constructivism -- 3.4 Connectivism -- 3.5 Complexity Theory -- 4 Research Questions -- 5 Case Study -- 6 Research Method -- 7 Results, Discussion and New Findings -- 8 Limitations and Future Research -- 9 Conclusion -- References. Understanding "Sustainability" and Attitudes of Students to the Concept of "Sustainable Development" in China and the UK -- 1 Introduction -- 2 Self-definition -- 3 Circular Arguments -- 4 Sustainability -- 4.1 Differing Conceptions of Man and Nature -- 4.2 Sustainability in the UK and China -- 4.3 Sustainability in China -- 4.4 Development and Pollution -- 5 Framework and Method -- 6 Advantages and Disadvantages -- 7 Results and Discussion -- 8 Conclusion -- References -- Sustainability Awareness in Thailand -- 1 Introduction -- 1.1 Background of Chapter Topic -- 2 Background of Research -- 2.1 Introduction -- 2.2 What Is Sustainability? -- 2.2.1 Environmental Sustainability -- 2.2.2 Economic Sustainability -- 2.2.3 Social Sustainability -- 2.3 History of Sustainability -- 2.4 Sustainable Development Goals -- 2.5 Triple Bottom Line - People, Planet, and Profit -- 2.6 Corporate Social Responsibility (CSR) -- 2.6.1 Roles of Corporate Social Responsibility -- 2.6.2 The Benefits of Corporate Social Responsibility -- 2.6.3 Divisions of Corporate Social Responsibility (CSR) -- 2.6.4 Types of Corporate Social Responsibility (CSR) -- 2.6.5 Corporate Social Responsibility (CSR) vs Sustainable Development (SD) -- 2.7 What Does Sustainability Mean for Business/Education? -- 2.8 Current Progress Level of Sustainability -- 2.9 Sustainability in Developing Countries -- 2.10 Sustainability in Thailand -- 2.10.1 History of Thailand -- 2.10.2 Thailand at the Present -- 2.10.3 The Importance to Thailand of the Climate Change Agreement -- 2.11 Advantages (Based on the Survey) -- 3 Research Methods and Questions -- 3.1 Research Question -- 3.2 Research Methods -- 3.3 Research Design -- 3.3.1 Unit of Analysis -- 3.3.2 Target Population and Sample -- 3.3.3 Data Collection -- 3.3.4 Data Analysis -- 3.3.5 Research Instrument -- 3.3.6 Reliability and Validity -- 4 Results. 4.1 Survey Results -- 4.2 Process for Carrying Out Factor Analysis -- 4.3 Factor Analysis Reporting -- 4.3.1 Type of Factor Analysis -- 4.3.2 Measures of Sample Adequacy -- 4.3.3 Type of Factors -- 4.3.4 Factor Rotation -- 4.3.5 Result of the Reliability of Data -- 4.3.6 Factor Analysis Result for Opportunities -- 4.3.7 Naming Factor for Opportunities -- 4.3.8 Factor Analysis for Risks -- 4.3.9 Naming Factors for Risks -- 5 Discussions and New Significance -- 6 Limitations -- 6.1 Time -- 6.2 Sampling -- 6.3 Incomplete Surveys -- 7 Conclusion -- References -- Sustainability Awareness in Vietnam's Higher Education Sector -- 1 Introduction -- 2 Sustainability -- 2.1 Sustainability Advantages -- 2.1.1 Financial -- Reducing Resource Usage -- Decreasing Raw Material Consumption -- Increasing Efficiency -- 2.1.2 Reputation -- Enhanced Corporate Social Responsibility -- Improved Triple Bottom Line -- Improve Community Investment -- 2.1.3 Human Resources and Stakeholders -- Attract New Employees -- Meet stakeholder expectations -- 2.1.4 Environmental -- Reduce Carbon Footprint -- Reduce Pollution -- Reduce Health Hazards -- 2.2 Sustainability Disadvantages -- 2.2.1 Cost of Inflation -- 2.2.2 New Regulation -- 2.2.3 Fraud Allegation -- 2.2.4 Increase Supply Chain Crises -- 2.2.5 Technology and Material Costs -- 2.2.6 Sustainability and the Future -- 3 Research Method and Research Question -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- The Opportunities and Risks of Sustainability Awareness in Sri Lankan Organizations -- 1 Introduction -- 2 What Is Sustainability? -- 3 History of Sustainability and Consequences of Being Unsustainable -- 4 Triple Bottom Line -- 5 What Does This Mean for Business/Education? -- 6 Impact on Environment of Failure to Follow Sustainable Standards -- 7 Concept of Sustainability in Business -- 7.1 Education. 8 Sustainability in Developing Countries -- 9 Sustainability in Sri Lanka -- 10 Advantages and Disadvantages of Survey Outcome -- 11 Research Method and Question -- 12 Results -- 12.1 Opportunity Analysis -- 12.1.1 Rotated Component Matrix -- 12.2 Risk Analysis -- 13 Discussion and New Significance -- 14 Limitations -- 15 Conclusion -- References -- The Advantages and Risks of Sustainability Awareness in the Indian Higher Education Sector -- 1 Introduction -- 2 Sustainability -- 3 Research Methods and Question -- 4 Results -- 5 Discussion and New significance -- 6 Limitations -- 7 Conclusion -- References -- Sustainability in Organizations: Bhutan's Perspective -- 1 Introduction -- 2 Sustainability -- 3 Research Questions and Methods -- 4 Results -- 5 Discussion and New Significance -- 6 Limitations -- 7 Conclusion -- References -- Sustainability Awareness in Singapore's Higher Education Sector -- 1 Introduction -- 2 Background of the Research -- 2.1 Sustainability in Education -- 3 Research Method and Question -- 4 Results -- 5 Discussion and New Significance -- 6 Conclusion -- References -- Examining the Opportunities and Risks Associated with Sustainability Awareness in Higher Education in Pakistan -- 1 Introduction -- 2 Sustainability Awareness -- 3 Research Question and the Chosen Research Method -- 4 Results -- 5 Discussion and New Significance -- 6 Research Limitations -- 7 Future Research -- 8 Conclusion -- References -- Sustainability Awareness in Saudi Arabia -- 1 Introduction -- 2 Sustainability Background -- 3 Methodology -- 4 Data Analysis -- 4.1 Opportunities Related to Sustainability Awareness in Saudi Arabia -- 4.2 Risks Related to Sustainability Awareness in Saudi Arabia -- 5 Discussion of Findings and New Significance -- 6 Conclusion -- References -- Sustainability Awareness: Colombia Perspective -- 1 Introduction. 2 What Is Sustainability? -- 3 Sustainable Development -- 4 Difference Between Sustainable Development and Sustainable Growth -- 5 Economic Debate -- 6 What Does Sustainability Mean for Business? -- 7 Current Progress Level of Sustainability -- 8 Sustainability, Future and Technology -- 9 Advantages and Disadvantages of Sustainability -- 10 Sustainability in Developing Countries -- 11 Sustainability in Colombia -- 12 The Chosen Research Method and Research Question -- 13 Data Analysis and Discussion -- 13.1 Reliability Statistics for Opportunities and Risks -- 13.2 Factor Analysis for Opportunities -- 13.3 Factor Analysis for Risks -- 14 Conclusion from the Analysis -- 15 Limitations of the Study -- 16 Future Research -- 17 Recommendations -- 18 Conclusion -- References -- Sustainability Awareness in the Brazilian Higher Education -- 1 Introduction -- 2 Background of Research -- 2.1 What is Sustainability? -- 2.2 The History of Sustainability -- 2.3 What Sustainability Means for Business -- 2.4 Current Progress Level of Sustainability -- 2.5 Sustainability in Developing Countries -- 2.6 Sustainability in Brazil -- 2.7 Sustainability and the Future -- 3 Research Methods and Questions -- 4 Results -- 4.1 Positive and Negative Aspects Associate With the Adoption of Sustainability -- 5 Discussion and New Significance -- 6 Limitation -- 7 Future Research -- 8 Recommendations -- 9 Conclusion -- References -- Sustainability and Green Supply Chain Awareness in Nigerian Organizations -- 1 Introduction -- 2 The Concept of Sustainability and Green Supply Chain Management -- 2.1 Sustainability and Green Supply Chain Management -- 2.2 History of Sustainability -- 3 Sustainability Significance for Business and Education -- 4 Sustainability in Developing Countries -- 5 Advantages and Barriers of Sustainability and Green Supply Chain. 6 Research Method and Question. EBL201712 Computing and Computers SzGeCERN BOOK Isaias, Pedro Issa, Theodora https://cds.cern.ch/auth.py?r=EBLIB_P_4926890 ebook n 201749 201712 21 PUBLIC https://catalogue.library.cern/legacy/2297688 BOOK MIGRATED 2297610 SzGeCERN 20210421205835.0 9783319550701 print version 9783319550701 electronic version electronic version 9783319550718 electronic version electronic version oai:cds.cern.ch:2297610 cerncds:BOOK EBL 4871295 eng TA1-2040 610.28 De Gloria, Alessandro Applications in electronics pervading industry, environment and society Cham Springer 2017 232 p ebook Lecture notes in electrical engineering 429 Preface -- Contents -- Energy and Environment -- Long-Range Radio for Underground Sensors in Geothermal Energy Systems -- Abstract -- 1 Introduction -- 2 System Architecture -- 2.1 Depth Board (DB) -- 2.2 Surface Board (SB) -- 3 Experimental Results -- 4 Conclusion -- Acknowledgements -- References -- Embedding Monitoring Systems for Cured-In-Place Pipes -- Abstract -- 1 Introduction -- 1.1 Flow Measurement Principle -- 2 System Overview -- 2.1 Bus Sensor and Installation -- 3 Test Setting and Results -- 4 Conclusions -- Acknowledgements -- References -- Delay Tolerant Wireless Sensor Network for Animal Monitoring: The Pink Iguana Case -- 1 Introduction -- 2 Related Work -- 2.1 Animal Tracking Technology -- 2.2 Animal Monitoring Networks and Devices -- 3 Network Scenario -- 4 WSN Node Design -- 4.1 Device Requirements -- 4.2 Components -- 5 Power Management -- 5.1 Energy Budget -- 5.2 Energy Harvesting Design -- 6 Transmission Band Selection -- 6.1 433 Versus 868MHz -- 6.2 Wireless Coverage -- 7 Conclusions -- References -- Low Dose-Rate, High Total Dose Set-Up for Rad-Hard CMOS I/O Circuits Testing -- Abstract -- 1 Introduction -- 2 RHBD ESD Protections -- 3 RHBD I/O Circuits Design -- 4 Test-Chip Design -- 5 Tests Campaign Planning -- 6 Expected Results and Discussion -- Acknowledgements -- References -- Engaging Self-powered Environmental Sensors via Serious Gaming -- Abstract -- 1 Introduction -- 1.1 EGD's Topology and Game Mechanics -- 2 The Energy Generating Device -- 2.1 Electromechanical Generator -- 2.2 Power Management and Energy Storage -- 2.3 Controller -- 3 Results and Discussion -- 4 Conclusions -- Acknowledgements -- References -- Flora Monitoring with a Plant-Microbial Fuel Cell -- Abstract -- 1 Introduction -- 2 Experimental Results -- 3 Conclusions and Future Works -- Acknowledgements -- References -- Automotive. Developing ICT Solutions for Dynamic Charging of Electric Vehicles -- Abstract -- 1 Introduction -- 2 Overall System Architecture -- 3 Description of the Systems -- 3.1 Charging Infrastructure -- 3.2 Backend -- 3.3 Load Balancing -- 3.4 Lane Keeping System -- 4 Conclusions and Future Work -- Acknowledgements -- References -- Maximizing Power Transfer for Dynamic Wireless Charging Electric Vehicles -- Abstract -- 1 Introduction -- 2 IPT Fundamentals -- 3 Sensor Fusion Alignment System -- 4 Conclusions and Future Work -- Acknowledgements -- References -- A Serious Game Architecture for Green Mobility -- Abstract -- 1 Introduction -- 2 TEAM Applications -- 3 Serious Game System Architecture -- 3.1 Virtual Coins -- 3.2 Competitions -- 3.3 Snake and Ladders -- 4 Field Test Scenario and Results -- 5 Conclusion and Outlook -- References -- Design and Implementation of an Electronic Control Unit for a CFR Bi-Fuel Spark Ignition Engine -- Abstract -- 1 Introduction -- 1.1 Engine Control Unit Specifications -- 2 ECU Hardware Features -- 2.1 ECU User Interface -- 2.2 Engine Management -- 3 Experimental Results -- 4 Conclusions -- References -- Testing of DC/DC Converters for 48V Electric Vehicles -- 1 Introduction -- 2 48V DC/DC Converter Architectures -- 3 Testing Plan -- 3.1 Microcontroller Block -- 3.2 Parameters Under Test -- 4 Test Setup and Results -- 5 Conclusions -- References -- Miscellaneous -- Wake up for Power Line Communication in Street Lighting Networks -- Abstract -- 1 Introduction -- 2 Wake up System -- 3 Effect of Street Lighting Elements on Transmitted Signal -- 3.1 Effect of Line Impedance -- 3.2 Effect of Lamp Ballast -- 4 Simulation of Street Lighting Network for the Best Routing Method -- 4.1 Simulation of the Whole Network -- 4.2 Result of Various Simulations -- 5 Conclusion -- References. High Resolution Time Domain Reflectometry for Dielectric State Monitoring in High Voltage Cables -- Abstract -- 1 Introduction -- 2 TDR Theory of Operation -- 3 System Implementation -- 4 Experimental Results -- 5 Conclusions -- References -- A Calorimetry Based System for Measuring the Power Losses of Switching Power Devices -- Abstract -- 1 Introduction -- 2 Apparatus -- 3 PTAT-Based Heat-Flux Sensor -- 4 Measurement and Results -- 5 Conclusions -- References -- ZnO-rGO Composite Thin Film Resistive Switching Device: Emulating Biological Synapse Behavior -- 1 Introduction -- 2 Material and Method -- 3 Results -- 4 Application: Emulating Biological Synaptic Behavior -- 5 Conclusion -- References -- Embedded System for Prosthetic Interface Mapping of Lower Limbs Amputees -- 1 Introduction -- 2 State of the Art -- 3 Sensing Interface Design -- 4 Results -- 5 Conclusions -- References -- Wideband mmWave Antenna for Wireless Network-On-Chip/Network-On-Board Communications -- Abstract -- 1 Introduction -- 2 Antenna Topology -- 3 Antenna Performance -- 4 Comparison to the State-of-the-Art -- 5 Conclusions -- References -- Failure Effect Analysis of Patch-Clamp Electronic Instrumentation in Electrophysiology Experiments -- Abstract -- 1 Introduction -- 2 The Patch-Clamp Technique: System and Experiments -- 3 Electronic System Degradation Analysis -- 4 Experimental Results -- 5 Conclusions -- References -- ICs and Memories -- Performance Evaluation of Non Volatile Memories with a Low Cost and Portable Automatic Test Equipment -- Abstract -- 1 Introduction -- 2 The Test System -- 3 Experimental Results -- 4 Conclusion -- Acknowledgements -- References -- An Emulator for Approximate Memory Platforms Based on QEmu -- 1 Introduction -- 2 Definition of the Emulated Architecture -- 3 Error Injection Model -- 3.1 Error on Access -- 3.2 Spontaneuos Errors. 3.3 Looseness Mask -- 4 Results on a Case of Study -- 5 Conclusions -- References -- Failure Analysis of Plastic Packages for Low-Power ICs -- Abstract -- 1 Introduction -- 2 Package Trends -- 3 Fault Tree and Fault Distribution Analysis -- 4 Failure Type Analysis -- 4.1 Bonding Failure -- 4.2 Au-Al Bonding -- 4.3 Cu-Al Bonding -- 4.4 Popcorn Effect -- 4.5 Different CTE -- 4.6 BGA and QFP Failures -- 5 Conclusions -- References -- Smart Cities -- Towards a Virtual Reality Interactive Application for Truck Traffic Access Management -- Abstract -- 1 Introduction -- 2 Point Cloud Processing and 3D Model Selection -- 3 Image Processing and Texture Extraction -- 4 Virtual 3D Environment -- 5 Performance Analysis -- 6 Conclusions and Future Work -- References -- A Contactless, Energy-Neutral Power Meter for Smart City Applications -- 1 Introduction -- 2 System Description -- 3 Experimental Results -- 4 Conclusion -- References -- Signal Processing and Communications -- Emerging Applications of Whispering Gallery Mode Photonic Resonators -- Abstract -- 1 Introduction -- 2 Overview of Photonic WGM Resonators -- 3 Space Application -- 4 Health-Care and Environmental Applications -- 5 Conclusions -- References -- Compressive Sensing Reconstruction for Complex System: A Hardware/Software Approach -- 1 Introduction -- 2 A Brief Summary on Reconstruction Algorithm -- 3 OMP Algorithm Acceleration -- 3.1 Hardware Implementation -- 4 Experimental Results -- 5 Conclusion and Future Works -- References -- Experimental Evaluation of 3D Ultrasound Palmprint Recognition Techniques Based on Curvature Methods and Under Skin Principal Lines -- Abstract -- 1 Introduction -- 2 Ultrasound Imaging -- 3 Templates Extraction from 3D Information -- 3.1 Curvature Methods -- 3.2 Under Skin Principal Lines -- 4 Recognition Results -- 5 Conclusion -- References. RFID Eavesdropping Using SDR Platforms -- 1 Introduction -- 2 Reverse Engineering -- 2.1 Attack Context -- 2.2 Temporal Analysis -- 3 Platform Description -- 4 RFID Eavesdropping: Signal Recording -- 5 PICC Signal Demodulation -- 6 PCD Signal Demodulation -- 7 Conclusion -- References -- Non Destructive Ultrasound Equipment to Evaluate the Concrete Compressive Strength -- Abstract -- 1 Introduction -- 2 The System -- 3 Experiments -- 4 Conclusion -- References -- Pulse Compression: From Radar to Real-Time Ultrasound Systems -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 ULA-OP Real-Time Processing -- 2.2 Experimental Setup -- 3 Experimental Test -- 4 Discussion and Conclusion -- Acknowledgements -- References. EBL201712 Health Physics and Radiation Effects SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4871295 ebook n 201749 201712 21 PUBLIC https://catalogue.library.cern/legacy/2297610 BOOK MIGRATED 2297605 SzGeCERN 20210421205836.0 9783319553443 print version 9783319553450 electronic version electronic version 9783319553467 print version 9783319856346 print version DOI 10.1007/978-3-319-55345-0 ebook oai:cds.cern.ch:2297605 cerncds:BOOK eng TA1-2040 621.381 Yasuura, Hiroto Smart sensors at the IoT frontier Cham Springer 2017 374 p ebook Contents -- Introduction -- 1 Part I Device Technology for IoT -- 2 Part II Sensing Technology for IoT -- 3 Part III System and Application -- Part I Device Technology for IoT -- Energy-Autonomous Supply-Sensing Biosensor Platform Using CMOS Electronics and Biofuel Cells -- 1 Introduction -- 2 Supply-Sensing Biosensor Platform -- 2.1 Principle of Supply-Sensing Biosensor Platform -- 2.2 Biofuel Cell -- 2.3 Supply-Controlled Ring Oscillator (SCRO) -- 2.4 Inductive-Coupling Transmitter -- 3 Test Chip Design and Measurement Setup -- 4 Measurement Results -- 5 Energy-Autonomous Operation -- 5.1 Performance of Organic Biofuel Cell -- 5.2 Demonstration of Energy-Autonomous Biosensing -- 6 Discussion -- 7 Conclusion -- References -- Smart Microfluidic Biochips: Cyberphysical Sensor Integration for Dynamic Error Recovery -- 1 Background -- 2 Automated Design Flow for Digital Microfluidic Biochips -- 3 Fluidic-Level Synthesis -- 3.1 Droplet Routing and Cross-Contamination -- 3.2 Problem Formulation of Functional and Washing Droplet Routing -- 3.3 Algorithm Overview -- 3.4 Functional Routing and Compaction -- 3.4.1 Functional Path Routing -- 3.4.2 Path Ordering -- 3.4.3 Functional Path Compaction -- 3.5 Washing Droplet Routing -- 3.5.1 Washing Duration Relaxation -- 3.5.2 Washing Order Decision and Washing Path Computation -- 3.6 Simultaneous Functional and Washing Path Compaction -- 3.7 Computational Simulation Results -- 4 Chip-Level Design -- 4.1 Electrode Addressing and Wire Routing -- 4.2 Problem Formulation of Electrode Addressing and Wire Routing -- 4.3 Algorithm Overview -- 4.4 SVM-Based Clustering -- 4.5 Escape Routing to Control Pins -- 4.6 Experimental Results -- 5 Cyberphysical Sensor Integration for Dynamic Error Recovery -- References -- Reducing Timing Discrepancy for Energy-Efficient On-Chip Memory Architectures at Low-Voltage Mode. 1 Introduction -- 2 Low-Voltage Influence on an 8T Cell -- 2.1 SRAM Faults on an 8T Cell -- 2.2 Wide Delay Distribution of SRAM Cells in Low Voltage -- 2.3 Effect of the Stored Value on the Latency -- 3 Non-Capacity-Loss Fault-Tolerant Design to Reduce Timing Discrepancy in Local Memory -- 3.1 Lightweight EDC with Zero Counting -- 3.1.1 System Architecture and Execution Flow -- 3.1.2 Access-Time Failure Detection by "0" Counting -- 3.1.3 Detection Granularity Trade-Off -- 3.2 Dynamic Timing Calibration SRAM -- 3.2.1 Architecture of DTC-SRAM -- 3.2.2 Dynamic Timing Calibration by Twice Data Fetch -- 3.2.3 Details of Dynamic Timing Calibrator -- 4 Flexible Space Management Strategies for L1 Cache to Reduce Aggressive Timing Discrepancy -- 4.1 Timing-Aware LRU Policy -- 4.2 Bit-Level Failure-Mask Management Strategy -- 4.2.1 Access-Time Failure Masking via Data Mirroring -- 4.2.2 Architecture of the Cross-Matching Cache -- 4.2.3 Additional Miss Detection and Prediction -- 4.3 Data Allying Management Strategy -- 4.3.1 8T SRAM with Alliable Read Wordline -- 4.3.2 Turbo Cache Management Strategies to Reduce the Unnecessary Penalty -- 5 Evaluation -- 5.1 Experimental Environment -- 5.2 Comparison of Slow Cell Tolerance Ability -- 5.3 Performance Analysis -- 5.4 Design Complexity -- 5.4.1 Energy Overhead -- 5.4.2 Area Overhead -- 5.4.3 Consideration for Out-of-Order Processors -- 6 Related Works -- 6.1 Reliable Low-Voltage Cache Designs -- 6.2 Error Correction Code Designs -- 6.3 Robust Circuit Designs -- 6.4 Tolerating Access-Time Failure Designs -- 6.5 Timing Speculation of the Pipeline -- 7 Conclusion -- References -- Redesigning Software and Systems for Nonvolatile Processors on Self-Powered Devices -- 1 Introduction -- 2 Software Techniques for System Consistency -- 3 Software Design and Optimizations for Nonvolatile Processor -- 3.1 Checkpoint Locating. 3.2 Register-Oriented Optimizations -- 3.2.1 Backup for Small Register Files -- 3.2.2 Backup for Large Register Files -- 3.3 On-Chip Memory Optimizations -- 3.3.1 Backup for Main Memory -- 3.3.2 Backup for Cache -- 3.4 Operating System-Level Optimizations -- 3.5 Prototype and Tools -- 3.6 Discussions -- 4 Conclusion -- References -- Part II Sensing Technology for IoT -- OEICs for High-Speed Data Links and Tympanic Membrane Transducer of Hearing Aid Device -- 1 OEICs for Intensive Data Link -- 1.1 CMOS Photodetectors -- 1.2 Spatially Modulated Photodetectors -- 1.3 Nested-Feedback TIA -- 1.4 A Multichannel OEIC with CMOS Photodetector -- 1.5 A 20-Gb/s OEIC with CMOS PD -- 1.6 Comparator-Based Optical Receiver -- 2 OEICs for Tympanic Membrane Transducer -- 2.1 Tympanic Membrane Transducer with Optical Signal and Power Transmission -- 2.2 Light-Driven Transducer -- 2.3 Circuit Design -- 2.3.1 Audio Driver -- 2.3.2 Transimpedance Amplifier -- 2.3.3 Bias Generator -- 2.3.4 Operational Amplifier -- 2.3.5 Hysteresis Comparator -- 2.3.6 Output Stage -- 3 Experimental Results -- 4 Conclusions -- References -- Depth Estimation Using Single Camera with Dual Apertures -- 1 Introduction -- 2 Dual-Aperture Camera -- 2.1 Color Filter Array -- 2.2 Camera Module Architecture -- 2.3 Spectral Characteristic -- 2.4 Depth Estimation Principle -- 2.5 Depth Estimation Algorithm -- 3 Proposed Depth Estimation Procedure -- 3.1 Demosaicking for Inter-color Edge Alignment -- 3.2 Multi-scale Space Edge Extraction -- 3.3 Adaptive Blur Channel Selection -- 3.4 Two-Dimensional Jittered Matching -- 3.5 Compensation for Specular Reflection -- 3.6 Hierarchical Selective Blurred Image Interpolation -- 3.7 Depth Noise Removal -- 4 Experimental Results -- 5 Concluding Remarks and Future Work -- References -- Scintillator-Based Electronic Personal Dosimeterfor Mobile Application. 1 Introduction -- 2 System Design -- 2.1 Design of a Compact Scintillation Detector -- 2.2 Design of Front-End ASIC -- 2.3 System Design -- 2.3.1 Design of EPD System for Mobile Phones -- 2.3.2 Power Harvesting Through Audio Jack -- 2.3.3 Data Communication Through Audio Jack -- 2.4 Dose Conversion Algorithm -- 2.5 Application Program for Android Phone -- 3 Test Results and Discussion -- 3.1 Measurement of Gamma Energy Spectrum -- 3.2 Measurement of Personal Dose -- 3.3 Measurement of Angular Response -- 4 Conclusion -- References -- Part III System and Application -- LED Spectrophotometry and Its Performance Enhancement Based on Pseudo-BJT -- 1 Spectroscopy for a Smart Sensor -- 2 Optoelectronic Devices for the LED Spectrophotometry -- 2.1 Technology of LED an Its Usage -- 2.2 Technology and Usage of Photodiode -- 2.3 Si Photodiode as a Near-Infrared Detector -- 2.3.1 FKE in Zener Diode Structure -- 2.3.2 FKE in MOSFET GIDL Range -- 3 Performance Enhancement Based on Pseudo-BJT Optical System -- 3.1 Concept of PBOS -- 3.2 Mathematical Model of PBOS -- 3.2.1 A Basic Pseudo-BJT Model -- 3.2.2 An Amplified Pseudo-BJT -- 3.3 Sensitivity of the PBOS -- 3.3.1 Sample Transmittance (Tf) -- 3.3.2 GE and Go -- 3.4 Variation of PBOS Circuit -- 4 Application of Smart LED Spectrophotometer -- 4.1 Glucose Sensing -- 4.2 Water Quality Sensor -- References -- An Air Quality and Event Detection System with Life Logging for Monitoring Household Environments -- 1 Introduction -- 2 Air Quality and Event Detection System for Household Environments -- 2.1 Full-Function Device (FFD) -- 2.1.1 Gas Sensors -- 2.1.2 PM Sensor -- 2.2 Operation -- 2.3 Reduced-Function Device -- 3 Networking Among Devices -- 4 Performance Evaluation -- 4.1 Evaluation of Gas Sensors -- 4.2 Power Consumption of the FFD -- 4.3 Network Performance Analysis -- 5 Conclusion -- References. Mobile Crowdsensing to Collect Road Conditions and Events -- 1 Introduction -- 2 Background -- 2.1 Driving Problems: The Situation in Sapporo -- 2.2 Goal-Directed Sensing with Active Participants: Crowdsourcing -- 2.3 Diversified Sensing: Exploiting Probe Car Data -- 3 Crowdsourced Mobile Sensing and Its Applications -- 3.1 Overview -- 3.2 Service Platform -- 3.3 Mobile Applications for End Users -- 3.4 Applications for Civil Administration -- 4 ``Drive Around-the-Corner.'': A Drive Recorder Application -- 4.1 Map with Event Information -- 4.2 Posting Event -- 4.3 Settings -- 4.4 Sensing Functions -- 4.4.1 User Data -- 4.4.2 Onboard Location and Motion Sensors -- 4.4.3 Movies -- 4.5 Website -- 4.6 Dry Run -- 4.7 Survey -- 4.8 Data Analysis -- 4.8.1 Feature Extraction and Selection -- 4.8.2 Classification -- 4.8.3 Experimental Results and Discussion -- 5 Conclusion -- References -- Sensing and Visualization in Agriculture with Affordable SmartDevices -- 1 Introduction -- 2 Field Environmental Monitoring and Control Framework -- 2.1 Local Management Subsystem -- 2.2 Global Management Subsystem -- 2.3 Application of Framework to Field Environmental Monitoring and Irrigation Control -- 3 Plant Growth and Motion Measurement -- 3.1 Plant Growth Measurement -- 3.2 Plant Motion Measurement -- 4 Farm Work Information Recording -- 4.1 Manual Farm Work Information Recording System -- 4.2 Automatic Farm Work Information Recording System -- 4.2.1 Farmer Position Information -- 4.2.2 Farmer Action Information -- 4.2.3 Farm Work Information and Its Application -- 5 Analysis of Agricultural Information -- 5.1 Singular Spectrum Transformation -- 5.2 Change Point Analyses for Field Environmental Data -- 6 Conclusion -- References -- Learning Analytics for E-Book-Based Educational Big Data in Higher Education -- 1 Introduction -- 2 The M2B System. 3 The Integration and Visualization of Learning Logs for Learning Analytics. Engineering SPR201904 EBLlink deleted Engineering SzGeCERN BOOK Kyung, Chong-Min Liu, Yongpan Lin, Youn-Long n 201749 201712 SPR 21 PUBLIC https://catalogue.library.cern/legacy/2297605 BOOK MIGRATED 2297598 SzGeCERN 20210421205838.0 9783319538167 print version 9783319538167 electronic version electronic version 9783319538174 electronic version electronic version oai:cds.cern.ch:2297598 cerncds:BOOK EBL 4866215 eng TA1-2040 005.7 Srinivasan, S Guide to big data applications Cham Springer 2017 567 p ebook Studies in big data 26 Foreword -- Preface -- Acknowledgements -- Contents -- List of Reviewers -- Part I General -- 1 Strategic Applications of Big Data -- 1.1 Introduction -- 1.1.1 Better Processes -- 1.1.2 Better Products and Services -- 1.1.3 Better Customer Relationships -- 1.1.4 Better Innovation -- 1.2 From Value Disciplines to Digital Disciplines -- 1.2.1 Information Excellence -- 1.2.2 Solution Leadership -- 1.2.3 Collective Intimacy -- 1.2.4 Accelerated Innovation -- 1.2.5 Value Disciplines to Digital Disciplines -- 1.3 Information Excellence -- 1.3.1 Real-Time Process and Resource Optimization -- 1.3.2 Long-Term Process Improvement -- 1.3.3 Digital-Physical Substitution and Fusion -- 1.3.4 Exhaust-Data Monetization -- 1.3.5 Dynamic, Networked, Virtual Corporations -- 1.3.6 Beyond Business -- 1.4 Solution Leadership -- 1.4.1 Digital-Physical Mirroring -- 1.4.2 Real-Time Product/Service Optimization -- 1.4.3 Product/Service Usage Optimization -- 1.4.4 Predictive Analytics and Predictive Maintenance -- 1.4.5 Product-Service System Solutions -- 1.4.6 Long-Term Product Improvement -- 1.4.7 The Experience Economy -- 1.4.8 Experiences -- 1.4.9 Transformations -- 1.4.10 Customer-Centered Product and Service Data Integration -- 1.4.11 Beyond Business -- 1.5 Collective Intimacy -- 1.5.1 Target Segments, Features and Bundles -- 1.5.2 Upsell/Cross-Sell -- 1.5.3 Recommendations -- 1.5.4 Sentiment Analysis -- 1.5.5 Beyond Business -- 1.6 Accelerated Innovation -- 1.6.1 Contests and Challenges -- 1.6.2 Contest Economics -- 1.6.3 Machine Innovation -- 1.6.4 Beyond Business -- 1.7 Integrated Disciplines -- 1.8 Conclusion -- References -- 2 Start with Privacy by Design in All Big Data Applications -- 2.1 Introduction -- 2.2 Information Privacy Defined -- 2.2.1 Is It Personally Identifiable Information? -- 2.3 Big Data: Understanding the Challenges to Privacy. 2.3.1 Big Data: The Antithesis of Data Minimization -- 2.3.2 Predictive Analysis: Correlation Versus Causation -- 2.3.3 Lack of Transparency/Accountability -- 2.4 Privacy by Design and the 7 Foundational Principles -- 2.4.1 The 7 Foundational Principles -- 2.5 Big Data Applications: Guidance on Applying the PbD Framework and Principles -- 2.5.1 Being Proactive About Privacy Through Prevention -- 2.5.2 Data Minimization as the Default Through De-identification -- 2.5.3 Embedding Privacy at the Design Stage -- 2.5.4 Aspire for Positive-Sum Without Diminishing Functionality -- 2.6 Conclusion -- References -- 3 Privacy Preserving Federated Big Data Analysis -- 3.1 Introduction -- 3.2 Federated Data Analysis: Architecture and Optimization -- 3.2.1 Architecture -- 3.2.1.1 Server/Client Architecture -- 3.2.1.2 Decentralized Architecture -- 3.2.2 Distributed Optimization -- 3.2.2.1 The Newton-Raphson Method -- 3.2.2.2 Alternating Direction Method of Multipliers -- 3.3 Federated Data Analysis Applications -- 3.3.1 Applications Based on the Newton-Raphson Method -- 3.3.2 Applications Based on ADMM -- 3.3.2.1 Regression -- 3.3.2.2 Classification -- 3.3.2.3 Convergence and Robustness for Decentralized Data Analysis -- 3.4 Secure Multiparty Computation -- 3.4.1 Regression -- 3.4.2 Classification -- 3.4.3 Evaluation -- 3.5 Asynchronous Optimization -- 3.5.1 Asynchronous Optimization Based on Fixed-Point Algorithms -- 3.5.2 Asynchronous Coordinate Gradient Descent -- 3.5.3 Asynchronous Alternating Direction Method of Multipliers -- 3.6 Discussion and Conclusion -- References -- 4 Word Embedding for Understanding Natural Language:A Survey -- 4.1 Introduction -- 4.2 Word Embedding Approaches and Evaluations -- 4.2.1 Background -- 4.2.2 Neural Network Language Model -- 4.2.2.1 Restricted Boltzmann Machine (RBM) -- 4.2.2.2 Recurrent and Recursive Neural Network. 4.2.2.3 Convolutional Neural Network (CNN) -- 4.2.2.4 Hierarchical Neural Language Model (HNLM) -- 4.2.3 Sparse Coding Approach -- 4.2.4 Evaluations of Word Embedding -- 4.3 Word Embedding Applications -- 4.4 Conclusion and Future Work -- References -- Part II Applications in Science -- 5 Big Data Solutions to Interpreting Complex Systems in the Environment -- 5.1 Introduction -- 5.2 Applications: Various Datasets -- 5.2.1 Sample Applications -- 5.3 Big Data Tools -- 5.3.1 RapidMiner -- 5.3.2 Apache Spark -- 5.3.3 R -- 5.3.4 Other Tools -- 5.4 Case Study I: Florida Hurricane Datasets (1950-2013) -- 5.4.1 Background -- 5.4.2 Dataset -- 5.4.3 Data Analysis -- 5.4.4 Summary -- 5.5 Case Study II: Big Data in Environmental Microbiology -- 5.5.1 Background -- 5.5.2 Genome Dataset -- 5.5.3 Analysis of Big Data -- 5.5.4 Summary -- 5.6 Discussion and Future Work -- References -- 6 High Performance Computing and Big Data -- 6.1 Introduction -- 6.2 High Performance in Action -- 6.2.1 Defining a Data Pipeline -- 6.2.1.1 Events -- 6.2.1.2 Ingestion -- 6.2.1.3 Streaming Event Processing -- 6.2.1.4 Batch Event Processing -- 6.2.1.5 Data Store -- 6.2.1.6 Query/Data Warehouse Processing -- 6.2.2 Deploying for High Performance -- 6.3 High-Performance and Big Data Deployment Types -- 6.3.1 Platform as a Service (PaaS): Cloud Based Config-Ready Deployment -- 6.3.2 Cloud-Based Hardware Deployment -- 6.3.3 On-Premise Deployment -- 6.3.4 Big Data as a Service (BDaaS) -- 6.3.5 Summary -- 6.4 Software and Hardware Considerations for Building Highly Performant Data Platforms -- 6.4.1 Software Considerations -- 6.4.1.1 Data Ingestion Stacks -- 6.4.1.2 Data Processing Stacks -- 6.4.1.3 Data Stores -- 6.4.1.4 Indexing and Querying Engine -- 6.4.2 Getting the Best Hardware Fit for Your Software Stack -- 6.4.2.1 Data Ingestion Cluster -- 6.4.2.2 Stream or Data Processing Cluster. 6.4.2.3 Data Stores -- 6.4.2.4 Indexing and Query-Based Frameworks -- 6.4.2.5 Batch-Processing Frameworks -- 6.4.2.6 Interoperability Between Frameworks -- 6.4.2.7 Summary -- 6.4.3 On-Premise Hardware Configuration and Rack Placement -- 6.4.3.1 On-Premise -- 6.4.3.2 On-Premise Converged Infrastructure -- 6.4.4 Emerging Technologies -- 6.4.4.1 Software Defined Infrastructure (SDI) -- 6.4.4.2 Advanced Hardware -- 6.4.4.3 Intelligent Software for Performance Management -- 6.5 Designing Data Pipelines for High Performance -- 6.6 Conclusions -- References -- 7 Managing Uncertainty in Large-Scale Inversions for the Oil and Gas Industry with Big Data -- 7.1 Introduction -- 7.2 Improve Classification Accuracy of Bayesian Inversion Through Big Data Learning -- 7.2.1 Bayesian Inversion and Measurement Errors -- 7.2.2 Bayesian Graphical Model -- 7.2.3 Statistical Inference for the Gaussian Mixture Model -- 7.2.3.1 Distributed Markov Chain Monte Carlo for Big Data -- 7.2.4 Tests from Synthetic Well Integrity Logging Data -- 7.3 Proactive Geosteering and Formation Evaluation -- 7.3.1 Inversion Algorithms -- 7.3.1.1 The Deterministic Inversion Method -- 7.3.1.2 The Statistical Inversion Method -- 7.3.2 Hamiltonian Monte Carlo and MapReduce -- 7.3.3 Examples and Discussions -- 7.3.3.1 Tests from Synthetic Data -- 7.3.3.2 Test from Field Data -- 7.3.4 Conclusion -- References -- 8 Big Data in Oil & Gas and Petrophysics -- 8.1 Introduction -- 8.2 The Value of Big Data for the Petroleum Industry -- 8.2.1 Cost -- 8.2.1.1 SaaS (Software as a Service) -- 8.2.1.2 Cost Flexibility -- 8.2.1.3 Reduced IT Support -- 8.2.1.4 Efficiency -- 8.2.2 Collaboration -- 8.2.2.1 Ideal Ecosystem -- 8.2.2.2 Collaboration Enhancement by Universal Cloud-based Database Organization -- 8.2.2.3 Collaboration Enhancement by Calculation. 8.2.2.4 Collaboration Enhancement by Low Cost Subscription Model -- 8.2.2.5 Collaboration Enhanced by Intuitive Browser -- 8.2.3 Knowledge (Efficiency & Mobility) -- 8.2.3.1 Workflow Variety -- 8.3 General Explanation of Terms -- 8.3.1 Big Data -- 8.3.2 Cloud -- 8.3.3 Browser -- 8.4 Steps to Big Data in the Oilfield -- 8.4.1 Past Steps -- 8.4.2 Actual Step: Introduce Real Cloud Technology -- 8.4.2.1 What Is GeoFit? -- 8.4.2.2 Why Use a Universal Cloud-Based Hybrid Database? -- 8.4.2.3 Workflow Engine -- 8.4.2.4 Cloud Instantiation -- 8.4.2.5 Viewing -- 8.4.3 Structure Your Data Before You Go Big -- 8.4.3.1 Project Structure -- 8.4.4 Timestamping in the Field -- 8.5 Future of Tools, Example -- 8.6 Next Step: Big Data Analytics in the Oil Industry -- 8.6.1 Planning a Big Data Implementation -- 8.6.1.1 Planning Storage -- 8.6.1.2 Planning CPU Capacity -- 8.6.1.3 Planning Memory Requirements -- 8.6.2 Eventual Consistency -- 8.6.3 Fault Tolerance -- 8.6.4 Time Stamping in Big Data -- 8.7 Big Data is the future of O&G -- 8.8 In Conclusion -- References -- 9 Friendship Paradoxes on Quora -- 9.1 Introduction -- 9.1.1 Organization of the Chapter and Summary of Results -- 9.2 A Brief Review of the Statistics of Friendship Paradoxes: What are Strong Paradoxes, and Why Should We Measure Them? -- 9.2.1 Feld's Mathematical Argument -- 9.2.2 What Does Feld's Argument Imply? -- 9.2.3 Friendship Paradox Under Random Wiring -- 9.2.4 Beyond Random-Wiring Assumptions: Why Weak and Strong Friendship Paradoxes are Ubiquitous in Undirected Networks -- 9.2.5 Weak Generalized Paradoxes are Ubiquitous Too -- 9.2.6 Strong Degree-Based Paradoxes in Directed Networks and Strong Generalized Paradoxes are Nontrivial -- 9.3 Strong Paradoxes in the Quora Follow Network -- 9.3.1 Definition of the Network and Core Questions. 9.3.2 All Four Degree-Based Paradoxes Occur in the Quora Follow Network. EBL201712 Computing and Computers SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4866215 ebook n 201749 201712 21 PUBLIC https://catalogue.library.cern/legacy/2297598 BOOK MIGRATED 2297579 SzGeCERN 20180822202548.0 9781447173250 (electronic bk.) electronic version 9781447173243 electronic version EBL 4853813 eng QA75.5-76.95 004.6 Hallock, Harold L ACS without an attitude London Springer 2017 290 p NASA monographs in systems and software engineering Preface -- Contents -- Acronyms -- 1 Attitude Conventions and Definitions -- 1.1 Definition of the Inertial Reference Frame -- 1.2 Defining Attitude via Euler Angles (Right Ascension, Declination, and Roll) -- 1.3 Defining Attitude via Euler Angles (Roll, Pitch, and Yaw) -- 1.4 Defining Attitude via the Direction Cosine Matrix -- 1.5 Defining Attitude via the Eigenvector and Rotation Angle -- 1.6 Defining Attitude via Quarternions -- 1.7 Attitude Format Applications -- 2 General Orbit Background -- 2.1 Historical Perspective -- 2.2 Orbital Shapes -- 2.3 Specifying the Orbit's Orientation in Inertial Space -- 2.4 The Location of the Spacecraft in the Orbit -- 2.5 Keplerian Element Types -- 2.6 Orbit Perturbations - Oblate Earth -- 2.7 Orbit Perturbations - Aerodynamic Drag -- 2.8 Orbit Perturbations - Solar Radiation Pressure -- 2.9 Orbit Perturbations - Orbit Maneuvers with Thrusters -- 3 Angular Momentum and Torque -- 3.1 Historical Digression -- 3.2 Translational Motion -- 3.3 Rotational Motion -- 3.4 Motion of the Center of Mass Versus Motion About the Center of Mass -- 3.5 How the Moment of Inertia Tensor Describes the Object's Nature -- 3.6 Types of Torque-Free Rotational Motion -- 3.7 How Torques Can Influence an Object's Rotational Motion -- 3.8 Attitude Control Torques -- 3.9 Environmental Torques -- 4 Attitude Measurement Sensors -- 4.1 Sun Sensors -- 4.2 Earth Sensors -- 4.3 Magnetometers -- 4.4 Star Sensors -- 4.5 Gyros -- 5 Attitude Actuators -- 5.1 Reaction Wheels -- 5.2 Magnetic Torquer Bars (MTBs) -- 5.3 Thrusters -- 6 Reference Models -- 6.1 Modeling the Earth's Gravitational Field -- 6.2 Modeling the Spacecraft's Ephemeris -- 6.3 Modeling Solar, Lunar, and Planetary Ephemerides -- 6.4 Modeling the Geomagnetic Field -- 6.5 Star Catalogs -- 6.6 Velocity Aberration -- 6.7 Parallax -- 6.8 Stellar Magnitude. 6.9 Star Catalog Examples -- 7 Onboard Attitude Determination -- 7.1 Attitude Propagation with Gyroscope Data -- 7.2 Reference Attitude -- 7.3 Minimum Data Attitude Determination -- 7.4 Batch Attitude Determination with Vector Observations -- 7.5 Attitude Uncertainty: The Covariance Matrix -- 7.6 Combining Multiple Attitude Solutions -- 7.7 Combining an Attitude Solution with a Vector Measurement -- 7.8 Measurement Propagation and De-Weighting -- 7.9 Recursive Attitude Estimation -- 7.10 Recursive Attitude Plus Gyro Bias Estimation -- 7.11 The Kalman Filter for Recursive Least Squares -- 7.12 Synopsis -- 7.13 Mathematics to English Translation of Kalman Filtering -- 8 Spacecraft State Estimation More Broadly -- 8.1 Attitude-Related Least Squares Problems -- 8.1.1 Star Tracker Relative Alignments -- 8.1.2 Star Tracker Internal Calibrations -- 8.1.3 Gyroscope Calibration -- 8.1.4 Sun Sensor Calibration -- 8.1.5 Magnetometer Calibration -- 8.1.6 Wavefront Calibration -- 8.2 General Issues -- 8.2.1 Observability -- 8.2.2 State Vector Selection -- 8.2.3 Observation Model -- 8.2.4 Least Squares Filters -- 9 Onboard Orbit Computations -- 9.1 CGRO Onboard Orbit Models -- 9.2 HST Onboard Orbit Models -- 9.3 Landsat Orbit Model -- 9.4 RXTE Orbit Models -- 9.5 WMAP Orbit Models -- 9.6 Onboard Orbit Measurement with GPS -- 9.7 Onboard Orbit Measurement with TONS -- 10 Control Laws: General Qualities -- 10.1 Definition of Control Law Terms -- 10.2 Closed-Loop Control Laws -- 10.3 Laplace Transforms and Transfer Functions -- 10.4 Control System Response and Behavior -- 10.5 The Harmonic Oscillator in Detail -- 10.6 Adjusting Gains: The Root Locus Diagram -- 10.7 Discrete Systems and the Z Transform -- 11 Control Laws: Attitude Applications -- 11.1 Equivalence of L-R-C Circuits and Harmonic Oscillators -- 11.2 PID Control Laws -- 11.2.1 Bang-Bang Control. 11.2.2 Proportional Control -- 11.2.3 Proportional-Derivative Control -- 11.2.4 Proportional-Integral-Derivative Control -- 11.3 Hubble Space Telescope Pointing Control Law -- 11.4 Control Law Tuning -- 12 Mission Characteristics -- 12.1 Mission Orbit Selection -- 12.2 Celestial-Pointers Versus Earth-Pointers -- 12.3 Safemodes -- 12.4 Mission Attitude Acquisition -- 12.5 Spacecraft Comparisons -- Appendix A Time Measurement Systems -- Appendix B Variation on Deriving the Kalman Gain -- Glossary -- References -- Index. Welter, Gary Simpson, David G Rouff, Christopher 9781447173243 print version oai:cds.cern.ch:2297579 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4853813 ebook ebook EBL201712 Computing and Computers SzGeCERN BOOK n 201749 201712 21 PUBLIC BOOK DELETED 2297574 SzGeCERN 20210421205843.0 9783319535340 print version 9783319535340 electronic version electronic version 9783319535364 electronic version electronic version oai:cds.cern.ch:2297574 cerncds:BOOK EBL 4845282 eng QC71.82-73.8 621.042 Yang, Zhaoqing Marine renewable energy resource characterization and physical effects Cham Springer 2017 396 p ebook Preface -- Facing the Challenges of Resource Characterization and Physical System Effects of Marine Renewable Energy Development -- Contents -- About the Editors -- 1 Wave Energy Assessments: Quantifying the Resource and Understanding the Uncertainty -- Introduction -- Wave Data Sources -- Wave Measurements -- Numerical Wave Models -- WAM -- WWIII -- SWAN -- TOMAWAC -- MIKE-21 SW -- Analyzing and Quantifying the Resource -- Wave Spectra and Characteristic Parameterizations -- Baseline Resource Assessment -- Higher Fidelity Resource Assessments -- Extreme Wave Analysis -- Quantifying Environmental Factors -- Impact of Resource Assessment Methodology on WEC Power Production Estimates -- Site Identification for WEC Deployments -- Conclusions -- References -- 2 Wave Energy Resources Along the European Atlantic Coast -- Introduction -- Spectral Wave Modelling -- Overview of Models -- WAM -- WaveWatch III -- SWAN -- Model Set-up and ValidationModel Set-up and Validation -- Scotland -- Ireland -- France -- Galicia -- Portugal -- Wave Resource Assessment -- Spatial Distribution -- Seasonal and Interannual Variability -- Summary and Discussion -- Acknowledgements -- References -- 3 Analyses of Wave Scattering and Absorption Produced by WEC Arrays: Physical/Numerical Experiments and Model Assessment -- Introduction -- WEC Array Laboratory Experiments -- Incident Wave Conditions -- Model WECs and WEC Arrays -- Wave Instrumentation -- Determination of the Relative Capture Width -- Numerical Modeling -- Phase-Resolved Linear Wave Theory-WAMIT -- Phase-Averaged Linear Wave Theory-SWAN -- Results -- WAMIT-Data Comparisons -- SWAN Data Comparisons -- Discussion -- Conclusions -- Acknowledgements -- References -- 4 Hydrokinetic Tidal Energy Resource Assessments Using Numerical Models -- Introduction -- Individual Turbine Assessments. Regional Feasibility Assessments -- Project Assessments -- Case Study -- Summary -- References -- 5 Tidal Energy Resource Measurements -- Introduction -- The Tidal Energy Resource -- Measurements of Deterministic Tidal Resource Characteristics -- Measurements of Stochastic Tidal Resource Characteristics -- Annual Energy Production -- Large-Scale Resource Assessment and the Merging of Measurements with Models -- Using Measurements to Validate Model-Based Resource Assessments -- Conclusions -- References -- Wave-Tide Interactions in Ocean Renewable Energy -- Introduction -- Introduction to Wave-Tide Interaction -- Wave Effects in Tidal Energy Projects -- Wave Climate Effects to Resource Assessment -- Wave Considerations in the Design of Tidal Turbines -- Simplified Methods -- Tidal Effects in Wave Energy Projects -- Wave Energy Assessment in the Presence of Tides -- Tidal Effects on Wave Energy Converters -- Dynamically Coupled Wave-Tide Modeling Systems -- Conclusions -- References -- 7 Use of Global Satellite Altimeter and Drifter Data for Ocean Current Resource Characterization -- Introduction -- Data and Method -- Strong Ocean Currents and the Seasonal Variation of Current Speeds -- Ocean Current Power Resource -- Site Selection for Ocean Current Power Generation -- Discussion and Conclusions -- Acknowledgements -- References -- 8 Mapping the Ocean Current Strength and Persistence in the Agulhas to Inform Marine Energy Development -- Introduction -- Data and Methods -- GlobCurrent Data Set -- Global Hybrid Coordinate Ocean Model -- Acoustic Doppler Current Profilers -- Current Strength and Variability -- Comparison GlobCurrent, HYCOM, ADCPs -- Implications for Energy Production -- Characteristics of Energetic Region -- Current Magnitude -- Power Density -- Directional Analysis -- Technical and Environmental Considerations. Technology Considerations -- Geotechnical and Mooring Considerations -- Commercial Fishing Activities -- Shipping Routes -- Existing Infrastructure that Can Consume the Generated Energy -- Environmental Impact -- Regulatory Environment -- Conclusion About the Best Site -- Acknowledgements -- References -- 9 Ocean Current Energy Resource Assessment for the Gulf Stream System: The Florida Current -- Introduction -- Gulf Stream Characteristics -- Resource Assessment -- Undisturbed Flow Assessments -- Idealized Ocean Model Assessments -- Numerical Ocean Model Assessment -- Summary -- References -- 10 Marine Hydrokinetic Energy in the Gulf Stream Off North Carolina: An Assessment Using Observations and Ocean Circulation Models -- Introduction -- MHK Energy and Power Density -- The Gulf Stream -- Assessing MHK Energy and Power Density -- ROMS Model -- Moored ADCP Measurements -- Additional Observations -- HF Radar Surface Currents -- ADCP Vessel Transects -- MHK Energy from the Gulf Stream Along North Carolina -- Average Currents -- Current Speed and Power Density Time Series -- Year-to-Year Power Variations -- Current Directions -- Discussion -- Acknowledgements -- Appendix -- References -- 11 Effects of Tidal Stream Energy Extraction on Water Exchange and Transport Timescales -- Introduction -- Definition and Calculation Methods of Flushing Time -- Tidal Prism Method -- Numerical Simulation -- Effects of TECs on Flows-Analytical and Numerical Approaches -- Analytical and 1-D Models -- 2-D and 3-D Models -- Case Studies for Assessing the Effects on Flushing Time -- Idealized Channel Linking to a Bay -- Tacoma Narrows in Puget Sound -- Summary -- References -- 12 The Impact of Marine Renewable Energy Extraction on Sediment Dynamics -- Introduction -- The Transport of Sediment in the Marine Environment -- Sediment Transport Due to Tides. Sediment Transport Due to Waves -- Sediment Transport Due to Combined Tides/Waves -- Morphodynamics -- Natural Variability -- Impact of Marine Energy Devices on Sediment Dynamics -- Individual Tidal Stream Devices -- Arrays of Tidal Stream Devices -- Wave Energy Arrays -- Nearshore Devices -- Offshore Devices -- Long-Term Variability -- Monitoring -- Tidal Lagoons/Barrages -- Summary and Conclusions -- Acknowledgements -- References -- 13 Assessing the Impacts of Marine-Hydrokinetic Energy (MHK) Device Noise on Marine Systems by Using Underwater Acoustic Models as Enabling Tools -- Introduction -- Background -- Organization of Chapter -- Evolving Trends and Challenges -- Coastal Environments -- Biological Noise Impacts -- Enabling Technologies and Emerging Solutions -- Noise Sources -- Natural Background Noise -- Anthropogenic Background Noise -- MHK Device and Wind-Farm Noise -- Tidal Turbines -- Wave-Energy Devices -- Wind-Farm Noise -- Uncertainty -- Mitigation and Monitoring -- Mitigation Measures and Monitoring -- Passive Acoustic Technologies -- Underwater Acoustic Networks -- Underwater Acoustic Modeling Techniques as Enabling Tools -- Propagation Models -- Noise Models -- Summary -- Appendix A-Abbreviations and Acronyms -- References -- 14 Challenges to Characterization of Sound Produced by Marine Energy Converters -- Introduction -- Influences on Sound Generation by Marine Energy Converters -- Identification of Marine Energy Converter Sound -- Masking by Flow-Noise -- Conclusions -- Acknowledgements -- References -- 15 Planning and Management Frameworks for Renewable Ocean Energy -- Introduction -- Canada -- China -- Ireland -- Japan -- New Zealand -- Nigeria -- Norway -- Portugal -- South Africa -- Spain -- Sweden -- United Kingdom -- England -- Wales -- Scotland -- Northern Ireland -- United States of America -- Conclusions. Acknowledgements -- References -- Index. EBL201712 Engineering SzGeCERN BOOK Copping, Andrea https://cds.cern.ch/auth.py?r=EBLIB_P_4845282 ebook n 201749 201712 21 PUBLIC https://catalogue.library.cern/legacy/2297574 BOOK MIGRATED 2297566 SzGeCERN 20191106223625.0 9783319554792 print version 9783319554792 electronic version electronic version 9783319554808 electronic version electronic version oai:cds.cern.ch:2297566 cerncds:BOOK EBL 4843360 eng GB3-5030 526.1 Geist, Eric L Global tsunami science Cham Springer 2017 545 p ebook Pageoph topical volumes Pages from 978-3-319-55480-8_1_Book_OnlinePDF -- 978-3-319-55480-8_1_OnlinePDF -- Introduction to ''Global Tsunami Science: Past and Future, Volume I'' -- Abstract -- Introduction -- Tsunami Probability and Uncertainty Analysis -- Deterministic Hazard and Risk Assessment -- Tsunami Warning and Detection -- Tsunami Hydrodynamics and Modeling -- Landslide and Meteorological Tsunamis -- Case Studies -- Acknowledgements -- References -- 978-3-319-55480-8_2_OnlinePDF -- Generating Random Earthquake Events for Probabilistic Tsunami Hazard Assessment -- Abstract -- Introduction -- Expressing Slip Using a Karhunen--Lov̈e Expansion -- One-Dimensional Case: Down-Dip Variation -- Lognormally Distributed Slip -- Two-Dimensional Case -- Discussion -- Acknowledgments -- References -- 978-3-319-55480-8_3_OnlinePDF -- The Effects on Tsunami Hazard Assessment in Chile of Assuming Earthquake Scenarios with Spatially Uniform Slip -- Abstract -- Introduction -- Methods -- Earthquake Scenarios -- Simulation of Tsunamis and Coastal Land-Level Changes -- Results and Discussion -- Effects on Coastal Land-Level Changes -- Effects on Near-Shore Tsunami Amplitudes -- Effects on Arrival Times of Leading and Largest Tsunami Wave -- Conclusions and Recommendations -- Acknowledgments -- References -- 978-3-319-55480-8_4_OnlinePDF -- Reconstruction of Far-Field Tsunami Amplitude Distributions from Earthquake Sources -- Abstract -- Introduction -- Data -- Maximum Likelihood Estimate (MLE) of Distribution Parameters -- Method -- Results -- Reconstruction from Earthquake Distributions -- Method -- Results -- Discussion -- Conclusions -- Acknowledgments -- References -- 978-3-319-55480-8_5_OnlinePDF -- Probabilistic Tsunami Hazard Assessment for a Site in Eastern Canada -- Abstract -- Introduction -- PTHA Methodology -- Location Uncertainty. 8 Total Tsunami Hazard Without Tidal Effects -- Total Tsunami Hazard Including Tidal Variation -- Aleatory Uncertainty of Tsunami Waves -- Deterministic Modelling Aleatory Uncertainties -- Parametric Aleatory Uncertainties -- Regression Aleatory Uncertainties -- Epistemic Uncertainty of Tsunami Waves -- Tsunami Source Regions and Scenarios -- Tsunami Evidence In and Near the Bay of Fundy -- Source Characterization -- Earthquake Sources -- Azores-Gibraltar Plate Boundary -- Caribbean-North American Plate Boundary -- Oak Bay Fault -- Landslide Sources -- Continental Slope -- Canary Islands -- Source Modelling -- Coseismic Source Modelling -- Continental Slope Landslide Source Modelling -- CVV Source Modelling -- Propagation and Inundation Modelling -- Transatlantic propagation and inundation modeling -- Regional Landslide Propagation and Inundation Modeling -- Results and Discussion -- Coseismic Scenario Results -- Continental Slope Scenario Results -- CVV Scenario Results -- Scaling Relationships Using Linear Regression -- Puerto Rico Trench (PRT) -- Scotian Slope Landslide Sources (TS1-TS8, TS6.5) -- Cumbre Vieja Volcano Landslides (CVV) -- Results of the PTHA -- PTHA Hazard Results at Constant Tidal Levels -- Discussion of Contributions to Tsunami Hazard at Constant Tidal Levels -- PTHA Hazard Results with Tidal Effects -- Future Directions of Research -- Conclusions -- Acknowledgements -- References -- 978-3-319-55480-8_6_OnlinePDF -- Probabilistic Hazard of Tsunamis Generated by Submarine Landslides in the Cook Strait Canyon (New Zealand) -- Abstract -- Introduction -- Method -- Submarine Landslide Magnitude--Frequency Relationship -- Landslide and Tsunami Modelling -- Probability -- Probabilistic Tsunami Hazard Assessment -- Discussion and Uncertainties -- Geological Uncertainties -- Modelling uncertainty -- Conclusions -- Acknowledgments. 8 Appendix 1: Tabulation of uncertainties and corresponding assumptions -- References -- 978-3-319-55480-8_7_OnlinePDF -- Developing an Event-Tree Probabilistic Tsunami Inundation Model for NE Atlantic Coasts: Application to a Case Study -- Abstract -- Introduction -- Methodology -- Event-Tree and Uncertainties Treatment -- Generation of Possible Tsunami Events -- Generation of Event's Realizations -- Hazard Case and Tide Uncertainties -- Numerical Modeling -- Tidal Stage Uncertainties -- Deriving the Probability of Exceedance -- Results -- Hazard Curves -- Probability Exceedance Maps -- 100-Year Exposure Time PTHA -- 500-Year Exposure Time PTHA -- Discussion -- Methodology and Limitations -- Tsunami Impact -- Conclusions -- Acknowledgments -- References -- 978-3-319-55480-8_8_OnlinePDF -- Application and Comparison of Tsunami Vulnerability and Damage Models for the Town of Siracusa, Sicily, Italy -- Abstract -- Introduction -- The Town of Siracusa -- The Tsunami Threat for Siracusa -- The 1693 Tsunami -- The 1908 Tsunami -- Other Tsunamis -- Tsunami Scenarios for the Town of Siracusa -- Tsunami Vulnerability and Damage Analysis Methods -- The SCHEMA Method -- The PTVA-3 Method -- Data Sets -- The CTN GIS-Oriented Maps -- Buildings Vulnerability Analysis -- SCHEMA -- PTVA-3 -- SCHEMA vs. PTVA-3 -- Buildings Damage Analysis -- SCHEMA -- PTVA-3 -- SCHEMA vs. PTVA-3 -- Discussion and Conclusions -- Acknowledgments -- References -- 978-3-319-55480-8_9_OnlinePDF -- Possible worst-case tsunami scenarios around the Marmara Sea from combined earthquake and landslide sources -- Abstract -- Introduction -- Tsunamigenic Sources -- Tsunami Scenarios -- Numerical Results -- Discussion -- Conclusions -- Acknowledgments -- References -- 978-3-319-55480-8_10_OnlinePDF -- Impact of Hellenic Arc Tsunamis on Corsica (France) -- Abstract -- Introduction. 8 Potential Tsunami Sources at the Hellenic Plate Boundary -- Tsunami Calculation Method -- Impact of Tsunami on Corsica -- Worst-Case Results -- Minimum Magnitude for a Tsunamigenic Earthquake to Impact Corsica -- Discussion and Conclusion -- Acknowledgments -- References -- 978-3-319-55480-8_11_OnlinePDF -- Consistent Estimates of Tsunami Energy Show Promise for Improved Early Warning -- Abstract -- Introduction -- Tsunami Energy Determinations -- Summary and Conclusions -- Acknowledgments -- Appendix 1: GPS Method -- Appendix 2: DART Method -- References -- 978-3-319-55480-8_12_OnlinePDF -- Very Fast Characterization of Focal Mechanism Parameters Through W-Phase Centroid Inversion in the Context of Tsunami Warning -- Abstract -- Introduction -- Method -- Data and Analysis -- Results -- Magnitude Comparison -- Focal Mechanism Comparison -- Conclusions -- Acknowledgments -- References -- 978-3-319-55480-8_13_OnlinePDF -- Tsunami Detection by High-Frequency Radar Beyond the Continental Shelf -- Abstract -- Introduction -- Rationale -- Realtime Tsunami Warning and Sensing Systems -- Principles of Tsunami Detection Based on HF Radar Remote Sensing -- Background -- Principles of Detection by HF Radar -- Basic Tsunami Wave Physics -- HF Radar Scattering Model -- Ocean Surface Model -- Definition of Doppler Spectra -- Simulating Time Series of Radar Signal -- Attenuation Model and Environmental Noise -- Algorithms for Tsunami Detection by HF Radar -- TDA1: Tsunami Detection Algorithm 1: Doppler Spectrum ''Inversion'' -- TDA2: Tsunami Detection Algorithm 2: Shifted Signal Correlations -- Validation of the Algorithms for Idealized Tsunami and Bathymetry -- Equations of ES Tsunami -- Numerical Validation of Simplified ES Tsunami Propagation Model -- Numerical Validation of the HF Radar Tsunami Detection Algorithms Based on Idealized Case Studies. 8 Test of Tsunami Detection Algorithm 1 (TDA1) -- Test of Tsunami Detection Algorithm 2 (TDA2) -- Test of Tsunami Detection Algorithms 1 and 2 with a Background Current -- Conclusions -- Acknowledgments -- Appendix 1: Directional Wave Number Spectrum -- Appendix 2: Second-Order Bragg Kernel and Radar Scattering -- References -- 978-3-319-55480-8_14_OnlinePDF -- Time--Frequency Characteristics of Tsunami Magnetic Signals from Four Pacific Ocean Events -- Abstract -- Introduction -- The Data and Focus Tsunami Events -- Numerical Simulation of the Tsunami Water Elevation -- Using COMCOT to Predict the Expected Magnetic Field Signal -- Concurrent Ocean Bottom Magnetic Data -- Data Processing -- Signals from a Cross-Wavelet Analysis -- Discussion -- Summary and Conclusions -- Acknowledgments -- Appendix: COMCOT -- References -- 978-3-319-55480-8_15_OnlinePDF -- A Pilot Tsunami Inundation Forecast System for Australia -- Abstract -- Introduction -- Operational Protocols -- Method -- Model Details -- Observations -- Results -- Discussion -- Outlook -- Acknowledgments -- References -- 978-3-319-55480-8_16_OnlinePDF -- Comparison and Computational Performance of Tsunami-HySEA and MOST Models for LANTEX 2013 Scenario: Impact Assessment on Puerto Rico Coasts -- Abstract -- Introduction -- Source Definition -- Topographic/Bathymetric Data -- Model Description -- Tsunami-HySEA -- MOST -- Computational Meshes -- Propagation Tests -- Inundation Tests -- Numerical Results and Comments -- Propagation Buoys -- Deep Water Comparison by Offshore Tide Gauges -- Shallow Water Comparison by Coastal Gauges -- Coastal Inundation Comparison -- Computational Times -- Conclusions -- Acknowledgments -- References -- 978-3-319-55480-8-17_OnlinePDF -- Tsunami hazard assessment in the Hudson River Estuary based on dynamic tsunami--tide simulations -- Abstract -- Introduction. 8 Modeling methodology and model grids. EBL201712 Astrophysics and Astronomy SzGeCERN BOOK Fritz, Hermann M Rabinovich, Alexander B Tanioka, Yuichiro https://cds.cern.ch/auth.py?r=EBLIB_P_4843360 ebook n 201749 201712 21 PUBLIC BOOK DELETED 2297558 SzGeCERN 20210421205846.0 9789811033605 print version 9789811033605 electronic version electronic version 9789811033612 electronic version electronic version oai:cds.cern.ch:2297558 cerncds:BOOK EBL 4838321 eng QC71.82-73.8 621.4835 Xu, Yang Nuclear power plants international symposium on software reliability, industrial safety, cyber security and physical protection of nuclear power plant Singapore Springer 2017 220 p ebook Lecture notes in electrical engineering 400 "Preface" -- "Contents" -- "1 3D Digital Virtual Simulation Application System for Technical Management of Nuclear Power Station Equipment" -- "Abstract" -- "1 Introduction" -- "2 System Design" -- "2.1 System Function Design" -- "2.2 Technical Architecture" -- "3 3D Modeling" -- "4 System Application Function" -- "4.1 The Operation of 3D Model Based on WEB Mode" -- "4.2 Equipment 3D Log" -- "4.3 Equipment Maintenance Process Simulation" -- "4.4 Equipment Operation Principle Simulation" -- "4.5 3D Display of Equipment Operation Real-Time Parameters" -- "5 Conclusion" -- "References" -- "2 HFE Study About Environment Design Indexes for Main Control Room of Nuclear Power Plant" -- "Abstract" -- "1 General" -- "2 MCR Environment Design Indexes in Regulations and Standards" -- "2.1 Noise Level" -- "2.2 Illumination" -- "2.3 Air Conditions" -- "2.4 The Interior and Color Design" -- "2.5 Other Requirements" -- "3 Environment Design Indexes in Different NPPs" -- "3.1 Noise Level" -- "3.2 Illumination" -- "3.3 Air Condition" -- "3.4 Interior and Colour Design" -- "4 Analysis and Project Experience of Environment Design Indexes" -- "4.1 Noise Level" -- "4.2 Illumination" -- "4.3 Air Condition" -- "4.4 The Interior and Color Design" -- "4.5 Others" -- "5 Conclusion" -- "References" -- "3 A Study of Implementation V&V Activities for Safety Software in the Nuclear Power Plant" -- "Abstract" -- "1 Introduction" -- "2 Software Test Requirements in Regulations and Standards" -- "3 Test Types for Implementation V&V Activities" -- "4 Implementation V&V Activities" -- "5 Quality Assurance" -- "6 Application" -- "7 Conclusion" -- "Acknowledgements" -- "References" -- "4 Analysis of CPU Redundant Configuration for the Safety DCS of NPP" -- "Abstract" -- "1 Introduction" -- "2 Redundant Configuration Analysis" -- "2.1 The Regulations and Standards". "2.2 Requirements for Design" -- "3 Modes of Redundant Configuration" -- "3.1 Parallel Redundant" -- "3.2 Control/Standby Redundant" -- "4 Analysis of Project Practice" -- "4.1 Parallel Redundant in Project Practice" -- "4.2 Control/Standby Redundant in Project Practice" -- "4.3 The Problems from Different Configuration" -- "5 Conclusion" -- "References" -- "5 Research and Improvement of TG Equipment Load Shedding Control Scheme in Nuclear Power Plant" -- "Abstract" -- "1 Introduction" -- "2 Analysis of TG Load Shedding Scheme" -- "2.1 TG Load Shedding Scheme" -- "2.2 Analysis of TG Load Shedding Scheme" -- "3 Improvement of TG Load Shedding Scheme" -- "4 Conclusions" -- "References" -- "6 The Research About Explosive Gas Atmosphere and Explosion Proof Technique of Waste Gas Treatment System in Nuclear Power Plant" -- "Abstract" -- "1 Introduction" -- "2 Explosive Environment Analysis" -- "2.1 Source of Hydrogen Release Analysis" -- "2.1.1 Containers" -- "2.1.2 Pipes" -- "2.1.3 Valves" -- "2.1.4 Compressors" -- "2.1.5 Instruments" -- "2.2 Hazard Analysis of Hydrogen Area Inside Equipments" -- "3 Analysis of Explosion Proof Design of I&C System" -- "3.1 Flameproof Enclosure Method" -- "3.2 Intrinsically Safe Circuit Method" -- "3.2.1 Equipments in Hazardous Area" -- "3.2.2 Safety Barrier" -- "3.2.3 Cables" -- "3.2.4 System Assessment" -- "4 Conclusions" -- "References" -- "7 Analyzing and Processing the Malfunction of Control Valve Dithering in PWR Nuclear Power Plant" -- "Abstract" -- "1 Introduction" -- "2 Background" -- "3 Failure Analysis" -- "3.1 Valve Principle" -- "3.1.1 Fault Tree Analysis" -- "Related Equipment Failure" -- "Interference in Control Loop" -- "3.1.2 Root Cause" -- "3.2 Failure Elimination" -- "3.2.1 Direct Grounding Scheme" -- "3.2.2 Capacitance Grounding Scheme" -- "3.3 Conclusions" -- "References". "8 First Loop Loose Parts Field Diagnosis" -- "Abstract" -- "1 Introduction" -- "2 Listen to the Sound Identification Method" -- "2.1 Listening to the Sound of Needle" -- "2.2 Loose Part Monitoring Data Playback Sound" -- "3 Data Analysis Method" -- "3.1 Linear Positioning Method" -- "3.2 Hyperbolic Positioning Method" -- "3.3 Circle Intersection Positioning Method" -- "3.4 Newton Positioning Method" -- "4 To Estimate the Quality of Loose Part" -- "5 Conclusions" -- "References" -- "9 Research on Application of Remote IO Technology in Nuclear Power Plant" -- "Abstract" -- "1 Introduction" -- "2 The Application of Remote IO in Conventional Thermal Power Plant" -- "2.1 To Replace the IO Acquisition Module" -- "2.2 Using the Remote IO Station to Form Medium and Small Scale Production Monitoring and Management Information System" -- "3 Feasibility Analysis of Remote I/O Using in Nuclear Power Plant" -- "3.1 Environmental Restrictions" -- "3.2 Operation and Protection Requirements" -- "3.3 System Performance" -- "3.4 Installation Requirements" -- "3.5 Equipment Identification" -- "3.6 Cost" -- "4 Feasibility Analysis of Nuclear Power Plants Using Remote I/O" -- "4.1 BOP Buildings Controlled by Local PLC" -- "4.2 BOP Buildings Controlled by DCS" -- "5 Remote I/O Program Implementation of Combined Pump Station" -- "5.1 Remote I/O Program of Combined Pump Station Under the CPR1000 Technical Route" -- "5.2 Remote I/O Program of Combined Pump Station Under the AP1000 Technical Route" -- "5.3 Remote I/O Program of Combined Pump Station Under the EPR Technical Route" -- "5.4 Remote I/O Program of Combined Pump Station Under the HPR1000 Technical Route" -- "6 Conclusions" -- "References" -- "10 Research on Wireless Location Technology of Nuclear Power Plant and Discussion for Physical Protection System Application" -- "Abstract" -- "1 Introduction". "2 Introduction of Several Kinds of Indoor Wireless Location Technologies" -- "2.1 RFID Position Technology" -- "2.2 Bluetooth Position Technology" -- "2.3 UWB Position Technology" -- "2.4 LED Visible Light Position Technology" -- "3 Indoor Wireless Location Technology Applications in Nuclear Power Plants" -- "3.1 UWB Position System" -- "3.1.1 System Solution" -- "3.1.2 System Composition" -- "3.2 Solution of LED Visible Position System" -- "4 Discussion on Wireless Location Technology in the Physical Protection Application of Nuclear Power Plants" -- "4.1 Auxiliary Discriminating Internal Threats" -- "4.2 Anti-nuclear Material Missing" -- "4.3 Other Applications" -- "4.4 Difficulties" -- "5 Conclusions" -- "References" -- "11 Analyzing the Digitally Levelled Control Systems Used for Nuclear Power Plants" -- "Abstract" -- "1 Introduction" -- "2 Typical Nuclear Power Plant and Control Systems" -- "2.1 The System Scale and the Control Scale of A Typical Nuclear Power Plant" -- "2.2 NSSS Control Systems in NPP" -- "3 The Model of the Digitally Levelled Control System of NPP" -- "4 The Safety Problem of the Digitally Levelled Control System" -- "5 Conclusions" -- "References" -- "12 A Study About Software Development QC and QA of the Digital RPS in Nuclear Power Plant" -- "Abstract" -- "1 Introduction" -- "2 Discussions" -- "2.1 Definitions" -- "2.2 Necessity" -- "2.3 Software Lifecycle" -- "3 Stage QC and QA in V&V Activities" -- "3.1 V&V Process" -- "3.2 V&V Plan" -- "3.3 Concept V&V" -- "3.4 Requirement V&V" -- "3.5 Design V&V" -- "3.6 Implementation V&V" -- "3.7 Integration Test V&V" -- "4 Conclusions" -- "Acknowledgements" -- "References" -- "13 A Study of NI Indoor Wireless Coverage in CPR1000 Projects" -- "Abstract" -- "1 Introduction" -- "2 Comparison with Reference Nuclear Power Plant" -- "3 Study on Indoor Distribution Scheme". "3.1 Design Principles of Indoor Distribution" -- "3.2 Selection of Antenna Power" -- "3.3 Confirmation of Signal Coverage Radius of Antenna" -- "3.4 Field Test" -- "3.5 Arrangement of Indoor Distribution Antenna Point Location" -- "3.6 Laying of Feeder Cable and Average Power Distribution" -- "3.7 Design Results of Indoor Distribution" -- "3.8 Power Supply of Indoor Distribution System" -- "3.9 Summary of Indoor Distribution Design" -- "4 Conclusions" -- "References" -- "14 Evaluation System of Software Concept V&V About the Safety Digital I&C System in Nuclear Power Plant" -- "Abstract" -- "1 Introduction" -- "2 V&V Activities and Tasks" -- "2.1 V&V General Tasks" -- "2.1.1 Concept Documentation Evaluation" -- "2.1.2 Traceability Analysis" -- "2.1.3 Requirements Allocation Analysis on Hardware, Software and User" -- "2.1.4 Hazard Analysis" -- "2.1.5 Risk Analysis" -- "2.1.6 Security Analysis" -- "2.1.7 Criticality Analysis" -- "2.2 V&V Key Points" -- "2.2.1 DCS Contracts" -- "2.2.2 Requirement Tracing" -- "3 Definitions of Failure Modes" -- "4 Failure Modes and Effect Analysis" -- "5 Conclusions" -- "Acknowledgements" -- "References" -- "15 Discussion About Issues of Human Error in Digital Control Room of NPP" -- "Abstract" -- "1 Introduction" -- "1.1 Definition and Classification of Human Errors" -- "1.2 Difference Between the Digital Control Room and the Traditional Control Room" -- "2 The Human Characteristics of the Digital Control Room" -- "3 The Response Measures to Human Error in Digital Control System" -- "4 Conclusion and Suggestion" -- "References" -- "16 Improving Human-System Interface Design Through Human Behavior Assessment in the Control Room of Nuclear Power Plants" -- "Abstract" -- "1 Introduction" -- "2 Human Behavior and HSI Design" -- "2.1 Using Traditional Panels" -- "2.2 Using Computerized Workstations" -- "2.3 Communication". "2.4 Other Auxiliary Activities". EBL201712 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4838321 ebook n 201749 201712 21 PUBLIC https://catalogue.library.cern/legacy/2297558 BOOK MIGRATED 2297519 20251201181241.0 oai:cds.cern.ch:2297519 cerncds:TALK eng CERN. Geneva Challenge Based Innovation Autumn 2017 Final Presentations CERN - 3179-R-E06 2017-12-14T18:24:00 2017-12-14T18:40:00 685747c11 Team Carson: PUBLIC HEALTH AND ENVIRONMENT 2017 2017-12-14 964 Streaming video Events Challenge Based Innovation Autumn 2017 Final Presentations 2017-12-14T18:24:00 <!--HTML-->How could we contribute to the reduction of environmental exposures that affects the people’s health? CERN 2017 Events Event TALK CERN de Rodrigo Navarro, Ruben speaker IED Rostom, Ramy speaker ESADE Barbany, Oriol speaker UPC Reive, Matthew speaker ESADE Colomer Goenaga, Guillermo speaker IED Sadurní, Arnau speaker UPC https://indico.cern.ch/event/685747/contributions/2813152/ Talk details https://indico.cern.ch/event/685747/ Event details MediaArchive /mnt/master_share/master_data/2017/685747c11 Absolute master path MediaArchive https://lecturemedia.cern.ch/2017/685747c11/thumbs/20171214181501.png pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2017/685747c11/685747c11_desktop_slides_1080p_4000.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 4000 MediaArchive https://lecturemedia.cern.ch/2017/685747c11/685747c11_desktop_slides_360p_800.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 800 MediaArchive https://lecturemedia.cern.ch/2017/685747c11/685747c11_desktop_slides_480p_1000.mp4 video/mp4 Content: presentation. Resolution: 853x480. Baudrate: 1000 MediaArchive https://lecturemedia.cern.ch/2017/685747c11/685747c11_desktop_slides_720p_2000.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 2000 MediaArchive https://lecturemedia.cern.ch/2017/685747c11/685747c11_desktop_camera_1080p_4000.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 4000 MediaArchive https://lecturemedia.cern.ch/2017/685747c11/685747c11_desktop_camera_360p_800.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 800 MediaArchive https://lecturemedia.cern.ch/2017/685747c11/685747c11_desktop_camera_480p_1000.mp4 video/mp4 Content: presenter. Resolution: 853x480. Baudrate: 1000 MediaArchive https://lecturemedia.cern.ch/2017/685747c11/685747c11_desktop_camera_720p_2000.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 2000 harri.toivonen@cern.ch 2017-12-01T14:53:46 2017-12-15T12:13:35 PUBLIC INDICO.685747c11 https://videos.cern.ch/legacy/record/2297519 Indico CMTE MIGRATED 2297460 SzGeCERN 20210209110716.0 DOI IOP 10.1088/1742-6596/898/3/032055 oai:inspirehep.net:1638273 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d 2017-12-15T05:00:07Z marcxml oai:inspirehep.net:1638273 2017-12-14T09:34:18Z Inspire 1638273 eng Krzewicki, Mikolaj INSPIRE-00248715 Frankfurt U. FIGGS, Frankfurt Frankfurt Institute for Advanced Studies, Germany IOP Support for online calibration in the ALICE HLT framework 2017 5 p IOP The ALICE detector employs sub detectors sensitive to environmental conditions such as pressure and temperature, e.g. the time projection chamber (TPC). A precise reconstruction of particle trajectories requires precise calibration of these detectors. Performing the calibration in real time in the HLT improves the online reconstruction and potentially renders certain offline calibration steps obsolete, speeding up offline physics analysis. For LHC Run 3, starting in 2020 when data reduction will rely on reconstructed data, online calibration becomes a necessity. In order to run the calibration online, the HLT now supports the processing of tasks that typically run offline. These tasks run massively in parallel on all HLT compute nodes and their output is gathered and merged periodically. The calibration results are both stored offline for later use and fed back into the HLT chain via a feedback loop in order to apply calibration information to the online track reconstruction. Online calibration and feedback loop are subject to certain time constraints in order to provide up-to-date calibration information and they must not interfere with ALICE data taking. Our approach to run these tasks in asynchronous processes enables us to separate them from normal data taking in a way that makes it failure resilient. We performed a first test of online TPC drift time calibration under real conditions during the heavy-ion run in December 2015. We present an analysis and conclusions of this first test, new improvements and developments based on this, as well as our current scheme to commission this for production use. IOP CC-BY-3.0 http://creativecommons.org/licenses/by/3.0/ publication SzGeCERN Computing and Computers SzGeCERN Detectors and Experimental Techniques SzGeCERN Particle Physics - Experiment CERN CERN LHC ALICE Rohr, David INSPIRE-00248142 ORCID:0000-0003-4101-0160 Frankfurt U. CERN CERN, Geneva, Switzerland Zampolli, Chiara INSPIRE-00247387 ORCID:0000-0002-2608-4834 CERN INFN, Bologna INFN, Sezione Bologna, Italy Wiechula, Jens INSPIRE-00290727 Frankfurt U. Gorbunov, Sergey INSPIRE-00262379 Frankfurt U. Chauvin, Alex INSPIRE-00548342 Munich, Tech. U. Vorobyev, Ivan INSPIRE-00361666 Munich, Tech. U. Weber, Steffen INSPIRE-00510469 Darmstadt, Tech. U. Darmstadt, GSI GSI Darmstadt, Germany Schweda, Kai INSPIRE-00244251 Heidelberg U. Shahoyan, Ruben INSPIRE-00125510 CERN Lindenstruth, Volker INSPIRE-00171460 Frankfurt U. FIGGS, Frankfurt Darmstadt, GSI Frankfurt Institute for Advanced Studies, Germany ALICE 032055 3 C16-10-14 2017 J. Phys.: Conf. Ser. 898 1374462 404087 http://cds.cern.ch/record/2297460/files/pdf.pdf Fulltext 13 2157890 sanfrancisco20161010 032055 ARTICLE ConferencePaper 0-1-0-1-0-0-0 2017-12-05 13:11:30 Invenio/1.1.2.1260-aa76f refextract/1.5.44 Krzewicki M Anisotropic flow of identified hadrons in heavy-ion collisions at the LHC, Ph.D. dissertation, Utrecht U 1 2013 2 https://root.cern.ch/ 3 http://zeromq.org Krzewicki M and Lindenstruth V ALICE HLT Run 2 performance overview JPCS 4 2017 5 https://github.com/AliceO2Group 1614095 ALICE Collaboration Buncic P and Technical Design Report for the Upgrade of the Online-Offline Computing System (ALICE-TDR-019) 6 CERN-LHCC-2015-006 2015 2296573 SzGeCERN 20210421205852.0 9783662543559 print version 9783662543573 electronic version electronic version DOI 10.1007/978-3-662-54357-3 ebook oai:cds.cern.ch:2296573 cerncds:BOOK eng T174.7 23 620.5 Springer handbook of nanotechnology 4th ed. Berlin Springer 2017 ebook Springer handbooks 2522-8692 Introduction -- Micro/Nanofabrication Techniques -- Nanomaterials and Nanostructures -- MEMS/NEMS -- BioMEMS/NEMS -- Nanometrology -- Bio/Nanotribology and Bio/Nanomechanics -- Molecularly-Thick Films for Lubrication -- Biomimetics and Bioinspired Surfaces -- Micro/Nanodevice Reliability -- Nanotechnology in Social Context, Environments, Health and Safety Issues, and Nanotechnology Education. This comprehensive handbook has become the definitive reference work in the field of nanoscience and nanotechnology, and this 4th edition incorporates a number of recent new developments. It integrates nanofabrication, nanomaterials, nanodevices, nanomechanics, nanotribology, materials science, and reliability engineering knowledge in just one volume. Furthermore, it discusses various nanostructures; micro/nanofabrication; micro/nanodevices and biomicro/nanodevices, as well as scanning probe microscopy; nanotribology and nanomechanics; molecularly thick films; industrial applications and nanodevice reliability; societal, environmental, health and safety issues; and nanotechnology education. In this new edition, written by an international team of over 140 distinguished experts and put together by an experienced editor with a comprehensive understanding of the field, almost all the chapters are either new or substantially revised and expanded, with new topics of interest added. It is an essential resource for anyone working in the rapidly evolving field of key technology, including mechanical and electrical engineers, materials scientists, physicists, and chemists. Engineering SPR201712 SzGeCERN Engineering SPR Engineering SPR Nanochemistry SPR Nanoscale science SPR Nanoscience SPR Nanostructures SPR Nanotechnology SPR Nanotechnology and Microengineering SPR Nanoscale Science and Technology BOOK Bhushan, Bharat ed. 2nd ed. 2007 1136193 edition 201712 SPR n 201749 21 PUBLIC https://catalogue.library.cern/legacy/2296573 BOOK MIGRATED 2296506 SzGeCERN 20210422083530.0 9783319668383 print version 9783319668390 electronic version electronic version DOI 10.1007/978-3-319-66839-0 e-proceedings oai:cds.cern.ch:2296506 cerncds:CONF eng QA319-329.9 515.7 23 20151216 4th International Conference on Particle Systems and Partial Differential Equations Braga, Portugal 16 - 18 Dec 2015 2015 braga20151216 4 PT PS-PDEs IV 20151218 Cham Springer 2017 ebook Springer proceedings in mathematics & statistics 2194-1009 209 Xavier Carvajal and Mahendra Panthee, A note on local well-posedness of generalized KdV type equations with dissipative perturbations -- Eduard Feireisl, Jiří Mikyška, Hana Petzeltová, and Peter Takáč, On the motion of chemically reacting fluids through porous medium -- Klemens Fellner and Bao Quoc Tang, Entropy methods and convergence to equilibrium for volume-surface reaction-diffusion systems -- R. Vilela Mendes, Ultradistribution spaces: Superprocesses and nonlinear differential problems -- François Golse, From the N-Body Schrödinger Equation to the Vlasov Equation -- Silvia Caprino, On a Vlasov-Poisson plasma with infinite charge and velocities -- Chi Hin Chan and Alexis Vasseur, De Giorgi techniques applied to the Hölder regularity of solutions to Hamilton-Jacobi equations -- Filipe Carvalho, A kinetic approach to steady detonation waves and their linear stability -- Roberto Monaco and Ana Jacinta Soares, A new mathematical model for environmental monitoring and assessment -- Valeria Ricci, Derivation of models for thin sprays from a multiphase Boltzmann model -- Jean-Christophe Mourrat, Hendrik Weber and Weijun Xu, Construction of F4/3 diagrams for pedestrians -- Tertuliano Franco, Patrícia Gonçalves and Adriana Neumann, Equilibrium uctuations for the slow boundary exclusion process -- Franz Achleitner, Two classes of nonlocal Evolution Equations related by a shared TravelingWave Problem -- D. Karevski, V. Popkov, G.M. Schütz, Matrix product ansatz for non-equilibrium quantum steady states. 'This book addresses mathematical problems motivated by various applications in physics, engineering, chemistry and biology. It gathers the lecture notes from the mini-course presented by Jean-Christophe Mourrat on the construction of the various stochastic “basic” terms involved in the formulation of the dynamic Ö4  theory in three space dimensions, as well as selected contributions presented at the fourth meeting on Particle Systems and PDEs, which was held at the University of Minho’s Centre of Mathematics in December 2015. The purpose of the conference was to bring together prominent researchers working in the fields of particle systems and partial differential equations, offering them a forum to present their recent results and discuss their topics of expertise. The meeting was also intended to present to a vast and varied public, including young researchers, the area of interacting particle systems, its underlying motivation, and its relation to partial differential equations.  The book will be of great interest to probabilists, analysts, and all mathematicians whose work focuses on topics in mathematical physics, stochastic processes and differential equations in general, as well as physicists working in statistical mechanics and kinetic theory.”. Mathematics and statistics SPR201712 SzGeCERN Mathematical Physics and Mathematics SPR Mathematical Methods in Physics PROCEEDINGS CONFERENCE Gonçalves, Patrícia ed. Soares, Ana ed. From particle systems to partial differential equations PS-PDEs IV Acronym SPR n 201749 201712 42 PUBLIC https://catalogue.library.cern/legacy/2296506 PROCEEDINGS MIGRATED 2296134 SzGeCERN 20210421205907.0 9781138057715 electronic version electronic version 9781138057715 print version 9781351651653 electronic version electronic version oai:cds.cern.ch:2296134 cerncds:BOOK EBL 5110029 eng 005.8 Kostopoulos, George Cyberspace and cybersecurity 2nd ed. London CRC Press 2017 316 p ebook "Cover" -- "Half Title" -- "Title Page" -- "Copyright Page" -- "Table of Contents" -- "Foreword " -- "Preface " -- "The Modern World " -- "Purpose and Audience " -- "The Book " -- "Acknowledgments " -- "Author " -- "Chapter 1: Vulnerabilities in Information Systems " -- "Introduction " -- "Causes of Vulnerability " -- "Measuring Vulnerability " -- "Avoiding Vulnerabilities through Secure Coding " -- "Mistakes Can Be Good " -- "Threats Classification " -- "Threat Modeling Process " -- "Security Starts at Home " -- "Security in Applications " -- "Introducing Countermeasures " -- "International Awareness " -- "Exercises " -- "Chapter 2: Vulnerabilities in the Organization " -- "Introduction " -- "Common Organizational Vulnerabilities " -- "Access Authorization and Authentication " -- "Human Factors " -- "Security Services " -- "External Technologies " -- "Vulnerabilities in Networks " -- "Wireless Networks " -- "Bluetooth " -- "Passive Vulnerabilities " -- "Active Vulnerabilities " -- "Precautions " -- "Wireless Fidelity " -- "Wi-Fi Precautions at Home " -- "Wi-Fi Precautions at the Hotspot " -- "Wi-Fi Precautions at the Enterprise " -- "Worldwide Interoperability Microwave Access " -- "WiMAX Features " -- "Cloud Computing " -- "Internet of Things " -- "Automotive Cybersecurity " -- "Vulnerability Assessment Tools " -- "Exercises " -- "Chapter 3: Risks in Information Systems Infrastructure " -- "Introduction " -- "Risks in Hardware " -- "Risks in Software " -- "Risks in People " -- "Risks in Laptops " -- "Risks in Cyberspace " -- "Risks in Legacy Infrastructure " -- "Risks in Mobile Telephony " -- "Risk Insurance in Cyberspace " -- "Exercises " -- "Chapter 4: Secure Information Systems " -- "Introduction " -- "Assets Identification " -- "Assets Communication " -- "Assets Storage " -- "Resource Access Control Facility ". "Securing the Email Communications " -- "Email Server Side " -- "Email Client Side " -- "Information Security Management " -- "Encryption Options in Emails " -- "Steganography " -- "Exercises " -- "Chapter 5: Cybersecurity and the CIO " -- "Introduction " -- "CIO: Personality " -- "Trust and Ethics " -- "Communication and Intelligence " -- "Leadership and Entrepreneurship " -- "Courage and Limitations " -- "CIO: Education " -- "University Degrees " -- "Certifications " -- "Continuing Education and Skills Acquisition " -- "CIO: Experience " -- "CIO: Responsibilities " -- "Data Backup and Archiving " -- "Culture of Security " -- "Cyber Training " -- "Contingency Plans " -- "Liability " -- "CIO: Information Security " -- "Internal Information Security Components " -- "Access Control—Electronic Here, we have three questions: Who? What? How? Sometimes one more question is added: When? Today’s database systems allow access control down to the cell of a spreadsheet. Programming security to that level might be tedious, but " -- "Access Control—Physical In an enterprise, it is often the case where access is granted for specific areas of the facilities. In such cases, combination locks or card swiping devices allow authorized access. In the former case, the drawback is possible los" -- "Cyber Policies " -- "Cyber Awareness and Training Cyber awareness is “protecting your personal information... and... keeping your computer safe and secure” [10]. The CIO promotes cybersecurity awareness through in-house communications, such as occasional email-newsletters and" -- "Training " -- "Business Continuity " -- "CIO: The Changing Role " -- "Adding Business Value through Cybersecurity " -- "Exercises " -- "Chapter 6: Building a Secure Organization " -- "Introduction " -- "Business Continuity Planning " -- "Business Impact Analysis (BIA) ". "Business Recovery Strategy (BRS) " -- "Drafting of the Business Continuity Plan " -- "Testing of the Business Continuity Plan " -- "Training in Business Continuity Plan Implementation " -- "Business Continuity Plan Performance Indicators " -- "System Access Control " -- "System Development and Maintenance " -- "Physical and Environmental Security " -- "Compliance " -- "Personnel Security " -- "Security Organization " -- "Computer and Network Management " -- "Asset Classification and Control " -- "Security Policy " -- "Encryption Key Management " -- "EKM Features " -- "Key Selection " -- "Algorithms " -- "Exercises " -- "Chapter 7: Cyberspace Intrusions " -- "Introduction " -- "IDPS Configuration " -- "Sensors " -- "Processor " -- "Consoles " -- "Network " -- "IDPS Capabilities " -- "Information Acquisition " -- "Information Loggings " -- "Detection Techniques " -- "Prevention Actions " -- "IDPS Management " -- "Implementation " -- "Step One: Features " -- "Step Two: Architecture " -- "Step Three: Installation " -- "Step Four: Testing " -- "Step Five: Activation " -- "Operation " -- "Maintenance " -- "IDPS Classification " -- "Host-Based IDPS " -- "Network-Based IDPS " -- "Network Behavior Analysis System " -- "Wireless IDPS " -- "IDPS Comparison " -- "Predicting Cybersecurity Attacks " -- "Cybersecurity Trends " -- "Ransomware " -- "Exercises " -- "Chapter 8: Cyberspace Defense " -- "Introduction " -- "File Protection Applications " -- "File Backup " -- "Disaster Recovery " -- "History Deletion " -- "Shredding and Wiping " -- "File Undelete " -- "File Encryption " -- "Loggers " -- "Anti-Loggers " -- "PC Performance Applications " -- "Registry Repair " -- "Anti-Rootkits " -- "Antivirus " -- "Junk Files " -- "Fragmentation " -- "Protection Tools " -- "Security Analyzer " -- "Password Analyzer " -- "Firewalls " -- "Packet-Level Filtering ". "Circuit-Level Filtering " -- "Application-Level Gateway " -- "Email Protection " -- "Exercises " -- "Chapter 9: Cyberspace and the Law " -- "Introduction " -- "International Laws " -- "Europe " -- "United Nations " -- "North Atlantic Treaty Organization " -- "INTERPOL " -- "Impediments to Cyber Law Enforcement " -- "Cyber-Related Laws in the United States " -- "National Cybersecurity Protection Act of 2014 " -- "Cybersecurity Workforce Assessment Act of 2014 " -- "Cybersecurity Workforce Recruitment and Retention Act of 2014 " -- "Commercial Privacy Bill of Rights Act of 2011 [15] " -- "Cybersecurity Act of 2010 [16] " -- "Federal Information Security Management Act of 2002 [17] " -- "USA PATRIOT Act of 2001 [20] " -- "Communications Assistance for Law Enforcement Act of 1994 [22] " -- "Computer Security Act of 1987 [24] " -- "Privacy Act of 1974 [26] " -- "Cybercrime " -- "Trends in Cyber Abuse " -- "Combating Cybercrime " -- "Cybercrime in Banking " -- "Cybercrime in e-Commerce " -- "Cybersecurity in Maritime " -- "Appendix 9.A: Cybercrime Activities " -- "Appendix 9.B: Cyber Resources: Organizations Concerned with the Fight against Cybercrime, a Partial List " -- "Exercises " -- "Chapter 10: Cyber Warfare and Homeland Security " -- "Introduction " -- "Cyber Warfare " -- "Cyber Weapons Convention " -- "Cyber Terrorism " -- "Cyber Espionage " -- "Homeland Security " -- "National Cyber Security Division " -- "Cybersecurity Preparedness " -- "Cyberspace Security Challenges " -- "Distributed Defense " -- "Cybersecurity Countermeasures " -- "Cyber Defense Ecosystem " -- "Cybersecurity Training " -- "Cyber Simulation and Exercises " -- "Warfare Information in an Information Warfare Terrain " -- "Developing a National Strategy for Cybersecurity " -- "Exercises " -- "Chapter 11: Digital Currencies " -- "Introduction " -- "The Blockchain Concept ". "Cryptocurrencies " -- "Bitcoin " -- "Cryptocurrency Wallet " -- "Cybercrime in the Cryptocurrencies Domain " -- "Purchasing Cryptocurrencies " -- "Exercises " -- "Chapter 12: Transformation of Traditional Crime into Cybercrime " -- "Introduction " -- "Electronic Crime " -- "Forms of Cybercrime " -- "Investigating Electronic Crimes " -- "Hackers and Crackers " -- "Investigating Cybercrimes " -- "Financial Cyber Scams " -- "The Nigerian Letter " -- "The Spanish Lotto " -- "Data Phishing " -- "Software Piracy " -- "Credit Cards " -- "Chat Rooms " -- "Trends in Cybercrime " -- "Cyber Bullying " -- "Suicides and Disappearances " -- "Conclusion " -- "Exercises " -- "References " -- "Chapter One " -- "Chapter Two " -- "Chapter Three " -- "Chapter Four " -- "Chapter Five " -- "Chapter Six " -- "Chapter Seven " -- "Chapter Eight " -- "Chapter Nine " -- "Chapter Ten ". EBL201712 Computing and Computers SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5110029 ebook n 201749 201712 21 PUBLIC https://catalogue.library.cern/legacy/2296134 BOOK MIGRATED 2296130 SzGeCERN 20210421205908.0 9781351458870 electronic version electronic version 9781560324775 electronic version electronic version 9781560324775 print version oai:cds.cern.ch:2296130 cerncds:BOOK EBL 5109153 eng TJ260.J35 2002 621.40220285 Jaluria, Yogesh Computational heat transfer 2nd ed. Washington CRC Press 2002 561 p ebook Series in computational and physical processes in mechanics and thermal sciences "Cover" -- "Half title" -- "Title Page" -- "Copyright Page" -- "Table of Contents" -- "Preface to the Second Edition" -- "Preface to the First Edition" -- "1. Introduction " -- "1.1 Thermal Transport" -- "1.2 Mass Transfer and Fluid Flow" -- "1.3 An Example" -- "1.4 Importance of Analytical and Experimental Methods" -- "1.5 Numerical Approach" -- "1.6 Basic Considerations in a Numerical Solution" -- "1.7 Outline and Scope of the Book" -- "References" -- "Part 1 Mathematical Background" -- "2. Governing Equations" -- "2.1 Classification" -- "2.2 Representative Differential Equations from Heat Transferand Fluid Flow" -- "2.3 Boundary and Initial Conditions" -- "2.4 Integral Forms" -- "2.5 Numerical Solution" -- "2.5.1 Basic Equations" -- "2.5.2 Different Approaches" -- "References" -- "Problems" -- "3. Finite Differences" -- "3.1 Basic Concepts" -- "3.1.1 Direct Approximation Approach" -- "3.1.2 Polynomial Representation" -- "3.1.3 Taylor Series Approach and Accuracy" -- "3.1.4 Control Volume Approach and Conservation" -- "3.1.5 Numerical Considerations" -- "3.1.5.1 Total Truncation Error" -- "3.1.5.2 Discretization and Roundoff Errors" -- "3.1.5.3 Convergence" -- "3.1.5.4 Numerical Stability and the Equivalence Theorem" -- "3.2 Steady-State Diffusion" -- "3.2.1 Discretization" -- "3.2.2 Solution of Simultaneous Equations" -- "3.2.2.1 Iterative Methods" -- "3.2.2.2 Direct Methods" -- "3.3 Transient Diffusion" -- "3.3.1 Two-Level Time Discretization" -- "3.3.2 Matrix Stability Analysis" -- "3.3.3 Fourier Series Stability Analysis" -- "3.3.4 An Example of Numerical Instability" -- "3.3.5 Other Explicit and Implicit Schemes" -- "References" -- "Problems" -- "4. Finite Elements" -- "4.1 Basic Concepts" -- "4.1.1 Discretization" -- "4.1.2 Interpolation Functions" -- "4.1.3 Integral Representations and Galerkin’s Method" -- "4.1.4 Assembly". "4.1.5 Elements" -- "4.1.6 Condensation and Substructuring" -- "4.1.7 Practical Implementation" -- "4.2 Steady-State Diffusion" -- "4.2.1 Matrix Equations with Boundary Conditions" -- "4.2.2 One-Dimensional Diffusion" -- "4.2.3 Two-Dimensional Diffusion" -- "4.2.4 Typical FEM Solutions" -- "4.3 Transient Diffusion" -- "4.3.1 The Matrix System" -- "4.3.2 Finite Differences in Time" -- "4.3.3 Diagonalization" -- "4.3.4 Transient One-Dimensional Diffusion" -- "4.3.5 Other Methods and Solutions" -- "References" -- "Problems" -- "Part 2 Simulation of Transport Processes" -- "5. Numerical Methods for Conduction Heat Transfer" -- "5.1 Governing Equations" -- "5.2 Numerical Solution of Steady-State Conduction" -- "5.2.1 One-Dimensional Conduction" -- "5.2.1.1 Basic Equations" -- "5.2.1.2 Finite Difference Approximation of the Boundary Conditions" -- "5.2.1.3 An Example: Numerical Solution of Heat Transfer in an Extended Surface" -- "5.2.1.4 Runge-Kutta Methods" -- "5.2.1.5 Finite Difference Method" -- "5.2.2 Multidimensional Steady-State Conduction" -- "5.2.2.1 Finite Difference Formulation" -- "5.2.2.2 Solution: Iterative and Direct Methods" -- "5.2.2.3 Improvement in Accuracy of Numerical Results" -- "5.2.2.4 Finite Element Formulation" -- "5.2.3 Variable Property and Other Considerations" -- "5.3 Numerical Solution of Unsteady-State Conduction" -- "5.3.1 One-Dimensional Unsteady-State Conduction" -- "5.3.1.1 FTCS Explicit Method" -- "5.3.1.2 Other Methods" -- "5.3.2 Numerical Approximation of Lumped Massand Semi-infinite Solids" -- "5.3.3 Multidimensional Unsteady-State Conduction" -- "5.3.4 Numerical Methods for Time-Varying Boundary Conditions" -- "5.3.5 Property Variation" -- "5.3.6 Finite Element Solution" -- "5.4 Grid Generation" -- "5.5 Summary" -- "References" -- "Problems" -- "6. Numerical Methods for Convection Heat Transfer". "6.1 Governing Equations" -- "6.2 Computation of Forced Convection with Constant Fluid Properties" -- "6.2.1 Inviscid Flow: Introduction to Stream Functionand Vorticity" -- "6.2.2 Equations for Viscous Flow: Primitive and Derived Variables" -- "6.2.3 Linear Viscous Flow (Creeping Flow)" -- "6.2.4 Computation of Boundary Layer Flows" -- "6.2.4.1 Similarity solution: Ordinary differential equations" -- "6.2.4.2 Finite Difference Approach" -- "6.2.5 Numerical Solution of the Full Equations" -- "6.2.5.1 Central Differencing" -- "6.2.5.2 Upwind, Hybrid and Other Lower-Order Differencing Schemes" -- "6.2.5.3 Higher-Order Differencing Schemesfor Convection" -- "6.2.5.4 Other Numerical Methods and Considerations" -- "6.2.5.5 Steady State Solution" -- "6.2.5.6 Primitive Variables Approach" -- "6.2.5.7 Simpler Algorithm" -- "6.2.6 Finite Difference Considerations of the Conservative Form" -- "6.2.7 Concluding Remarks on Flow Calculations" -- "6.2.8 Energy Equation" -- "6.2.8.1 Numerical Formulation" -- "6.2.8.2 Boundary Conditions" -- "6.2.8.3 Numerical Solution" -- "6.2.9 Numerical Solution of Turbulent Flows" -- "6.3 Computation of Natural Convection Flow and Transport" -- "6.3.1 Similarity Solutions" -- "6.3.2 Finite Difference Methods" -- "6.3.3 Additional Considerations" -- "6.4 Convection with Variable Fluid Properties" -- "6.5 Finite Element Methods" -- "6.5.1 Discretization and Interpolation Functions" -- "6.5.2 Integral Representation" -- "6.5.3 Element Equations and Assembly" -- "6.5.4 Solution" -- "6.5.5 Examples and Other Considerations" -- "6.5.6 Comparison of Finite Element and Finite Difference Methods" -- "6.6 Summary" -- "References" -- "Problems" -- "7. Numerical Methods for Radiation Heat Transfer" -- "7.1 Basic Concepts" -- "7.2 Numerical Techniques for Enclosures with Diffuse-Gray Surfaces" -- "7.2.1 Radiosity Method". "7.2.2 Absorption Factor Method" -- "7.2.3 Additional Considerations" -- "7.2.3.1 Computation of View Factors" -- "7.2.3.2 Temperature Dependence of Surface Properties" -- "7.2.3.3 Spectral Variation" -- "7.3 Nonuniform Irradiation and Emission: Discrete Integral Equations" -- "7.4 Numerical Solution of Radiation in the Presence of Other Modes" -- "7.4.1 Combined Modes at Boundaries: Nonparticipating Media" -- "7.4.2 Participating Media" -- "7.5 Other Methods For Participating Media" -- "7.6 Monte Carlo Method" -- "7.7 Summary" -- "References" -- "Problems" -- "Part 3 Combined Modes and Process Applications" -- "8. Applications of Computational Heat Transfer" -- "8.1 Numerical Simulation of Thermal Systems in Manufacturing" -- "8.1.1 Heat Treatment: Temperature Regulation" -- "8.1.2 Surface Treatment: Semi-infinite Approximation" -- "8.1.3 Continuously Moving Materials: Moving Boundary Effects" -- "8.1.4 Melting and Solidification: Phase Change Considerations" -- "8.1.5 Other Processes" -- "8.2 Numerical Simulation of Environmental Heat Transfer Problems" -- "8.2.1 Cooling Ponds: Periodic Processes" -- "8.2.2 Recirculating Flows in Enclosed Spaces" -- "8.2.3 Fire-Induced Flows in Partial Enclosures" -- "8.2.4 Free Boundary Flows and Other Problems" -- "8.2.5 Summary" -- "8.3 Computer Simulation and Computer-Aided Design of Thermal Systems" -- "8.3.1 General Approach" -- "8.3.2 Example of Computer Simulation of a Thermal System" -- "References" -- "Problems" -- "Appendices" -- "A. Finite Difference Approximations" -- "B. Sample Computer Programs" -- "B.1 Successive Over-Relaxation (SOR) Method" -- "B.2 Tridiagonal Matrix Algorithm (TDMA) or Thomas Algorithm" -- "B.3 Gauss-Jordan Elimination Method" -- "B.4 Forward-Time-Central-Space (FTCS) Method" -- "B.5 Crank-Nicolson Method" -- "B.6 Newton-Raphson Method" -- "B.7 Finite Difference Method for ODEs". "B.8 Runge-Kutta Method " -- "B.9 Alternating-Direction-Implicit (ADI) Method" -- " C. Material Properties" -- "Nomenclature". EBL201712 Mathematical Physics and Mathematics SzGeCERN BOOK Torrance, Kenneth E Minkowycz, W J Sparrow, E M https://cds.cern.ch/auth.py?r=EBLIB_P_5109153 ebook n 201749 21 PUBLIC https://catalogue.library.cern/legacy/2296130 BOOK MIGRATED 2296109 SzGeCERN 20180515232353.0 9781351423373 (electronic bk.) electronic version 9780849345173 electronic version EBL 5109078 eng R857.P64P3 610.28 Lamba, NinaMK Polyurethanes in biomedical applications Boca Raton, FL CRC Press 1997 288 p "Cover" -- "Title Page" -- "Copyright Page" -- "The Authors" -- "Preface" -- "Contents" -- "1. Introduction" -- "I.Biomaterials" -- "II. Biocompatibility" -- "III. Biomedical Polymers" -- "IV. Organization" -- "References" -- "2. The Chemistry of Polyurethane Copolymers" -- "I. Introduction" -- "II. History of Polyurethane Copolymers" -- "III. Polyurethane Copolymers" -- "IV. Synthesis of Polyurethanes" -- "A. Isocyanate Chemistry" -- "B. Allophanate Reaction" -- "C. Biuret Formation" -- "D. Acylurea" -- "E. Isocyanurate" -- "F. Uretidione Formation" -- "G. Carbodiimide Formation" -- "H. Catalysts" -- "I. Synthesis Media" -- "V. Raw Materials in Polyurethane" -- "A. Isocyanates" -- "B. Polyols" -- "C. Chain Extenders" -- "VI. Linear Polyurethane Elastomer Synthesis" -- "VII. Crosslinked Polyurethane Copolymers" -- "VIII. Polyurethane Modification" -- "A. Bulk Moification of Polyurethanes" -- "B. Surafce Modification of Polyurethanes" -- "Summary" -- "References" -- "3. Fabrication and Processing" -- "I. Introduction" -- "II. Processing of Polyurethanes" -- "A. One-Dimensional Process" -- "B. Tow-Dimensional Processes" -- "C. Three-Dimensional Processes" -- "1. Foams" -- "2. Tubing" -- "3. Balloons, Bladders, and Other Devices" -- "III. Sterilization" -- "A. Steam Sterilization" -- "B. Ethylene Oxide Sterilization" -- "C. Radiation" -- "IV. Commercial and Experimental Polyurethanes" -- "References" -- "4. Structure and Physical Characterization of Polyurethanes" -- "I. Introduction" -- "A. State of Order and Thermal Transitions of Polymers" -- "B. Intermolecular Bonding in Polymers" -- "C. Mechanical Behavior" -- "1. Viscoelasticity" -- "2. Hysteresis" -- "D. Molecular Weight" -- "II. Structure of Polyurethanes" -- "A. Microphase Separation" -- "1. Thermodynamics of Phase Separation" -- "2. Kinetics of Microphase Separation". "B. Morphological Models of Block Copolymers" -- "C. Molecular Orientation in Polyurethanes" -- "D. Hydrogen Bonding" -- "E. Crosslinking" -- "F. The Effect of Polyurethane Chemistry on Physical Properties" -- "1. Isocyanate" -- "2. Polyols" -- "3. Chain Extenders" -- "III. Characterization of Polyurethanes" -- "A. Gel Permeation Chromatography" -- "B. Infrared Spectroscopy" -- "C. Differential Scanning Calorimetry" -- "D. Dynamic Mechanical Theremal Analysis" -- "E. Electron Microscopy" -- "F. Stress-Strain Properties and Ultimate Tensile Strength" -- "1. Tensile Properties" -- "2. Tensile Stress Hysteresis" -- "3. Fatigue Testing" -- "G. Solubility Tests" -- "H. Permeability and Extractability" -- "I. Electrical Properties" -- "Summary" -- "References" -- "5. Surface Characterization of Polyurethanes" -- "I. Introduction" -- "II. Surface Energy and Surface Tension" -- "A. Contact Angles" -- "B. Contact Angle Measurement" -- "C. Contact Angle Hysteresis" -- "III. Attenuated Fourier Transform Infrared Spectroscopy (ATR-FTIR)" -- "A. ATR-FTIR Analysiosf Polyurethanes" -- "IV. Surface Spectroscopic Techniques" -- "A. X-Rayp Hoto-Electrspoenc Troscop(YX PS)" -- "B. Secondary Ion Massspe Ctrometry(S IMS)" -- "C. Surafce Spectroscopic Studies of Polyurethanes" -- "V. Surface Morphology" -- "VI. Surface Electrical Properties" -- "Summary" -- "References" -- "6. Introduction to Host-Biomaterial Interactions" -- "I. Introduction" -- "II. Protein Adsorption" -- "A. The First Event" -- "1. Kinetics of Protein Adsorption" -- "2. Equilibria and Isotherms" -- "3. Protein Adsorption onto Biomaterials" -- "B. Coagulation System" -- "C. Fibrinolytic System" -- "III. Cells, Extracellular Matrix and Cellular Interactions" -- "A. Platelets" -- "B. Erythrocytes" -- "C. Leukocytes" -- "D. The Extracellular Matrix" -- "E. Cell Receptors and Mediators". "1. Cell Adhesion Molecules" -- "2. Cytokines" -- "F. Hemostasis and Thrombosis" -- "G. The Inflammantory Response" -- "H. Foreign Body Response" -- "I. Wound Healing" -- "1. Proliferation of Fibroblasts" -- "2. Wound Closure and Scar Contracture" -- "IV. Immune Response" -- "A. Innate Immunity" -- "B. Complement System" -- "C. Adaptive Immunity" -- "Summary" -- "References" -- "7. Protein, Cellular and Soft Tissue Interactions with Polyurethanes" -- "I. Introduction" -- "II. Assessment of Host-Biomaterial Interactions" -- "A. In Vitro Testing" -- "B. Ex Vivo Testing" -- "C. In Viov Testing" -- "D. Clinical Evalution" -- "E. Guidelines for Biological Testing of Materials" -- "III. Protein Adsorption Onto Polyurethanes" -- "A. Albumin" -- "B. Fibrinogen" -- "C. Fibronectin" -- "D. Vitronectin" -- "E. Lipoproteins" -- "F. Coagulation System" -- "G. Fibrinolytic System" -- "H. Complement System" -- "I. The Vroman Effect" -- "IV. Cellular Responses to Polyurethanes" -- "A. Platelets" -- "B. Leukocytes" -- "C. Thrombus Formation on Polyrethanes" -- "D. Soft Tissue Interactions with Polyurethanes" -- "E. Neointima Formation" -- "F. Immunological Response to Polyurethanes" -- "G. Infection" -- "1. Staphylococcus Epidermidis" -- "2. Gram Positive Bacteria" -- "Summary" -- "References" -- "8. Degradation of Polyurethanes" -- "I. Introduction" -- "II. Mechanisms of Biodegradation" -- "A. Hydrolysis" -- "B. Oxidation" -- "1. Autoxidation" -- "2. Metal Catalyzed Oxidation" -- "C. Chemical Degradation" -- "D. Sterilization" -- "E. Biological Catalysis of Degradation" -- "1. Enzymes" -- "2. Cells" -- "3. Surface Cracking" -- "F. Environmental Stress Cracking" -- "G. Impact of Polyurethane Structure on Biodegradation" -- "1. Soft Segment" -- "2. Hard Segment" -- "H. Other Mechanisms of Biodegradation" -- "I. Impact Location" -- "III. Toxicity and Carcinogenicity". "IV. Calcification of Polyurethanes" -- "V. Biodegradable Polyurethanes" -- "Summary" -- "References" -- "9. Polyurethanes in Biomedical Appiications" -- "I. Introduction" -- "II. Cardiovascular Applications" -- "A. Catheters" -- "B. Pacemaker Lead Insulation" -- "C. Vascular Prostheses" -- "D. Heart Valves" -- "E. Cardiac Assist Devices" -- "1. Left Ventricular Assist Devices (LVADs)" -- "2. Intra-aortic Balloon Pumps" -- "III. Artificial Organs" -- "A. Artificial Heart" -- "B. Hemodiaysis" -- "C. Artificial Lung/Blood Oxygenation" -- "D. Hemoperfusion" -- "E. Artificial Pancreas" -- "F. Blood Tubing" -- "G. Blood Filters" -- "IV. Tissue Replacement and Augmentation" -- "A. Breast Implants" -- "B. Wound Dressing" -- "1. Types of wounds" -- "2. Occlusive and semiocclusive dressings" -- "3. Wound dressings and infection" -- "C. Facial Reconstruction" -- "D. Adhesives" -- "V. Other Applications" -- "A. Artificial Ducts" -- "B. Contraceptives" -- "C. Controlled Drug Delivery" -- "D. Penile Prosthesis" -- "E. Miscellaneous" -- "References" -- "10. Summary and Future Perspectives" -- "List of Abbreviations". Woodhouse, Kimberly A Cooper, Stuart L 9780849345173 print version oai:cds.cern.ch:2296109 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5109078 ebook ebook EBL201712 Health Physics and Radiation Effects SzGeCERN BOOK n 201749 21 PUBLIC BOOK DELETED 2296044 SzGeCERN 20200222231825.0 9781119377429 electronic version electronic version 9781119377429 print version 9781119377443 electronic version electronic version oai:cds.cern.ch:2296044 cerncds:BOOK EBL 5056874 eng QA76.3.A97 2018 5.4476899999999997 Cole, Stephen AWS certified SysOps administrator official study guide associate exam Newark, NJ John Wiley & Sons 2017 555 p ebook AWS Certified SysOps Administrator Official Study Guide - Associate Exam -- Acknowledgments -- About the Authors -- Contents at a Glance -- Contents -- Table of Exercises -- Foreword -- Introduction -- Assessment Test -- Answers to the Assessment Test -- Chapter 1 Introduction to Systems Operations on AWS -- Systems Operators -- Deploying Systems -- Monitoring Systems -- Optimizing Systems -- Fortifying Systems -- Securing Systems -- AWS Certified SysOps Administrator - Associate -- Which AWS Services Should You Study? -- Reference Architecture: The Three-Tier Design -- Introduction to the Three-Tier Design -- Sample Scenario -- Reference Architecture: The Serverless Design -- Key Product: Serverless Design -- Summary -- Exam Essentials -- Key Pieces to Study -- Review Questions -- Chapter 2 Working with AWS Cloud Services -- Introduction to AWS Cloud Services -- Systems Operations Using the AWS Toolset -- AWS Software Development Kits (SDKs) -- AWS Internet of Things (IoT) and Mobile Software Development Kits (SDKs) -- Summary -- Exam Essentials -- Resources to Review -- Exercises -- Review Questions -- Chapter 3 Security and AWS Identity and Access Management (IAM) -- Security on AWS -- Shared Responsibility Model -- AWS Security Responsibilities -- Customer Security Responsibilities -- AWS Global Infrastructure Security -- Physical and Environmental Security -- Business Continuity Management -- Network Security -- Network Monitoring and Protection -- AWS Compliance Program -- Securing Your AWS Account with AWS Identity and Access Management (IAM) -- IAM User -- IAM Groups -- IAM Policies -- IAM Roles -- Best Practices for Securing Your AWS Account -- Securing Your AWS Cloud Services -- Key Pairs -- Monitoring to Enhance Security -- AWS CloudTrail -- Amazon Virtual Private Cloud (Amazon VPC) Flow Logs -- Amazon CloudWatch -- AWS Config. Amazon Inspector -- AWS Certificate Manager -- AWS Web Application Firewall (AWS WAF) -- AWS Trusted Advisor -- AWS Cloud Service-Specific Security -- Compute Services -- Networking -- Storage -- AWS Storage Gateway Security -- Database -- Application Services -- Analytics Services -- Deployment and Management Services -- Mobile Services -- Applications -- Summary -- Exam Essentials -- Exercises -- Review Questions -- Chapter 4 Compute -- Introduction to AWS Compute Services -- Amazon Elastic Compute Cloud (Amazon EC2) -- Implementation -- Management -- Security -- Amazon EC2 Container Service (Amazon ECS) -- Implementation -- Management -- Security -- AWS Elastic Beanstalk -- Languages Supported in AWS Elastic Beanstalk -- Services that AWS Elastic Beanstalk Deploys -- Management -- Security -- AWS Lambda -- Implementation -- Management -- Security -- Amazon Lightsail -- Implementation -- Management -- Security -- AWS Batch -- Implementation -- Management -- Security -- Summary -- Exam Essentials -- Resources to Review -- Exercises -- Review Questions -- Chapter 5 Networking -- Introduction to Networking on AWS -- Amazon Virtual Private Cloud (Amazon VPC) -- Amazon VPC Implementation -- Amazon VPC Management -- AWS Direct Connect -- AWS Direct Connect Implementation -- AWS Direct Connect Management -- AWS Direct Connect Security -- Load Balancing -- Load Balancing Implementation -- Load Balancing Management -- Load Balancing Security -- Virtual Private Network (VPN) -- VPN Installation -- VPN Management -- Amazon Route 53 -- Amazon Route 53 Implementation -- Amazon Route 53 Management -- Amazon CloudFront -- Amazon CloudFront Implementation -- Amazon CloudFront Management -- Amazon CloudFront Security -- Summary -- Resources to Review -- Exam Essentials -- Exercises -- Review Questions -- Chapter 6 Storage Systems. Understanding Different Storage Options -- Block Storage vs. Object Storage -- Block Storage Basics -- Object Storage Basics -- Retrieval Times (Hot vs. Cold Storage) -- Cost Efficiency -- Block Storage on AWS -- Amazon Elastic Block Store (Amazon EBS) -- Instance Store -- Amazon Elastic File System (Amazon EFS) -- Object Storage on AWS -- Amazon Simple Storage Service (Amazon S3) -- Amazon Glacier -- Systems Operator Scenario: The Newspaper -- Storage Needs -- Solution Breakdown -- Additional Storage Solutions -- Amazon CloudFront -- AWS Storage Gateway -- AWS Snowball -- Summary -- Resources to Review -- Exam Essentials -- Exercises -- Review Questions -- Chapter 7 Databases -- Introduction to AWS Databases -- SQL vs. NoSQL -- Relational Databases Overview -- Relational Database Design -- Non-Relational Database Overview -- Amazon RDS Features and Benefits -- Amazon Aurora -- Monitoring Amazon RDS -- Monitoring Tools -- Amazon RDS Pricing -- Non-Relational Databases -- Amazon DynamoDB -- Amazon DynamoDB Core Components -- Amazon Redshift -- Cluster Management -- Cluster Access and Security -- Databases -- Monitoring Clusters -- Amazon ElastiCache -- Summary -- Resources to Review -- Exam Essentials -- Exercises -- Review Questions -- Chapter 8 Application Deployment and Management -- Introduction to Application Deployment and Management -- Deployment Strategies -- Provisioning Infrastructure -- Deploying Applications -- Configuration Management -- Scalability Capabilities -- Monitoring Resources -- Continuous Deployment -- Deployment Services -- AWS Elastic Beanstalk -- Amazon EC2 Container Service -- AWS OpsWorks Stacks -- AWS CloudFormation -- AWS Command Line Interface (AWS CLI) -- Summary -- Resources to Review -- Exam Essentials -- Exercises -- Review Questions -- Chapter 9 Monitoring and Metrics -- Introduction to Monitoring and Metrics. An Overview of Monitoring -- Why Monitor? -- Amazon CloudWatch -- AWS CloudTrail -- AWS Config -- AWS Trusted Advisor -- AWS Service Health Dashboard -- AWS Personal Health Dashboard -- Amazon CloudWatch -- Metrics -- Custom Metrics -- Amazon CloudWatch Metrics Retention -- Namespaces -- Dimensions -- Statistics -- Units -- Periods -- Aggregation -- Dashboards -- Percentiles -- Monitoring Baselines -- Amazon EC2 Status Checks -- Authentication and Access Control -- AWS Cloud Services Integration -- Amazon CloudWatch Limits -- Amazon CloudWatch Alarms -- Alarms and Thresholds -- Missing Data Points -- Common Amazon CloudWatch Metrics -- Amazon CloudWatch Events -- Events -- Rules -- Targets -- Metrics and Dimensions -- Amazon CloudWatch Logs -- Archived Data -- Log Monitoring -- Amazon CloudWatch Logs: Agents and IAM -- Searching and Filtering Log Data -- Monitoring AWS Charges -- Detailed Billing -- Cost Explorer -- AWS Billing and Cost Management Metrics and Dimensions -- AWS CloudTrail -- What Are Trails? -- Types of Trails -- Multiple Trails per Region -- Encryption -- AWS CloudTrail Log Delivery -- Overview: Creating a Trail -- Monitoring with AWS CloudTrail -- AWS CloudTrail vs. Amazon CloudWatch -- AWS CloudTrail: Trail Naming Requirements -- Getting and Viewing AWS CloudTrail Log Files -- AWS Config -- Ways to Use AWS Config -- AWS Config Rules -- AWS Config and AWS CloudTrail -- Pricing -- Summary -- Resources to Review -- Exam Essentials -- Exercises -- Review Questions -- Chapter 10 High Availability -- Introduction to High Availability -- Amazon Simple Queue Service -- Using Amazon Simple Queue Service to Decouple an Application -- Standard Queues -- First-In, First-Out Queues -- Dead Letter Queues -- Shared Queues -- Amazon Simple Notification Service -- Mobile Push Messaging -- Amazon SNS Fan-Out Scenario. Highly Available Architectures -- Network Address Translation (NAT) Gateways -- Elastic Load Balancing -- Auto Scaling -- Session State Management -- Amazon Elastic Compute Cloud Auto Recovery -- Scaling Your Amazon Relational Database Service Deployment -- Multi-Region High Availability -- Amazon Simple Storage Service -- Amazon DynamoDB -- Amazon Route 53 -- Highly Available Connectivity Options -- Redundant Active-Active VPN Connections -- Redundant Active-Active AWS Direct Connect Connections -- AWS Direct Connect with Backup VPN Connection -- Disaster Recovery -- Backup and Restore Method -- Pilot Light Method -- Warm-Standby Method -- Multi-Site Solution Method -- Failing Back from a Disaster -- Summary -- Resources to Review -- Exam Essentials -- Exercises -- Review Questions -- Appendix Answers to the Review Questions -- Chapter 1: Introduction to Systems Operations on AWS -- Chapter 2: Working with AWS Cloud Services -- Chapter 3: Security and AWS Identity and Access Management (IAM) -- Chapter 4: Compute -- Chapter 5: Networking -- Chapter 6: Storage Systems -- Chapter 7: Databases -- Chapter 8: Application Deployment and Management -- Chapter 9: Monitoring and Metrics -- Chapter 10: High Availability -- Index -- Advert -- EULA. EBL201712 Computing and Computers SzGeCERN BOOK Digby, Gareth Fitch, Chris Friedberg, Steve Qualheim, Shaun Rhoads, Jerry Roth, Michael Sundrud, Blaine https://cds.cern.ch/auth.py?r=EBLIB_P_5056874 ebook n 201749 201712 21 PUBLIC BOOK DELETED 2295983 SzGeCERN 20191106223625.0 9781681730967 electronic version electronic version print version oai:cds.cern.ch:2295983 cerncds:BOOK EBL 5042960 eng R859.7.S63.P385 2017 610.28499999999997 Paul, Michael J Social monitoring for public health San Rafael, CA Morgan & Claypool 2017 185 p ebook Synthesis lectures on information concepts, retrieval, and services Preface -- Acknowledgments -- A New Source of Big Data -- Public Health: A Primer -- The Public Health Cycle -- Public Health Surveillance -- Sources of Data -- Limitations of Traditional Data -- Opportunities for Social Monitoring -- Social Data -- What is Social Data? -- Monitoring of Social Data -- Active vs. Passive Monitoring -- Types of Users -- Types of Platforms -- General-purpose Social Media -- Domain-specific Social Media -- Search and Browsing Activity -- Crowds and Markets -- Comparison of Platforms -- Types of Data -- Content -- Metadata -- Social Network Structure -- Data Collection -- Methods of Monitoring -- Quantitative Analysis -- Content Analysis and Filtering -- Trend Inference -- Individual Analysis -- Validation -- Qualitative Analysis -- Validation -- Study Design -- Study Population -- Causality -- Cross-sectional vs. Longitudinal Analysis -- Public Health Applications -- Disease Surveillance -- Influenza -- Other Infectious Diseases -- Non-infectious Diseases and Chronic Illness -- Systems and Resources -- Behavioral Medicine -- Diet and Fitness -- Substance Use -- Disease Prevention and Awareness -- Environmental and Urban Health -- Disaster and Emergency Response -- Foodborne Illness -- Air Quality -- Climate Change -- Gun Violence -- Healthcare Quality and Safety -- Healthcare Quality -- Medication Safety -- Mental Health -- Depression -- Suicide and Self-harm -- Mood -- Other Mental Health Issues -- Limitations and Concerns -- Methodological Limitations -- Limitations of Self-reported Data -- Sampling and Sample Size -- Reliability of Third-party Data -- Adversarial Concerns -- Bias -- Actionability Concerns -- Current Use by Practitioners -- Reliability of Web Intelligence -- Utility of Web Intelligence -- Decisions and Interventions -- Ethical Considerations -- Public Data -- User Interaction. Guidelines for Ethical Research -- Looking Ahead -- Bibliography -- Authors' Biographies -- Blank Page. EBL201712 Health Physics and Radiation Effects SzGeCERN BOOK Dredze, Mark Marchionini, Gary https://cds.cern.ch/auth.py?r=EBLIB_P_5042960 ebook n 201749 201712 21 PUBLIC BOOK DELETED 2295969 SzGeCERN 20210421205930.0 9781498750011 electronic version electronic version 9781498750011 print version 9781498750028 electronic version electronic version oai:cds.cern.ch:2295969 cerncds:BOOK EBL 5023817 eng R857.M3 610.28 Rihn, Bertrand Henri Biomedical application of nanoparticles Milton CRC Press 2017 349 p ebook Oxidative stress and disease Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Foreword -- Series Preface: Oxidative Stress in Health and Disease -- Editor -- Contributors -- Section I : Nanoparticle Characterization -- Chapter 1: Nanoparticle World -- 1.1 Introduction -- 1.2 Nanomedicine -- 1.3 Diagnostics/Imaging with Nanomaterials -- 1.4 Nanopharmaceuticals -- 1.5 Nanoparticle-Based Drug Delivery -- 1.6 Tissue Engineering with Nanomaterials -- 1.7 Toxicology of Nanoparticles Used for Medical Purposes -- 1.8 Conclusion -- References -- Chapter 2: Dispersion and Characterization of Nanoparticles -- 2.1 Introduction -- 2.2 Dispersion of Nanoparticles -- 2.2.1 Deagglomeration -- 2.2.2 Stabilization -- 2.2.2.1 Electrostatic Repulsion -- 2.2.2.2 Steric Stabilization -- 2.2.2.3 Electrosteric Stabilization -- 2.2.2.4 Summary -- 2.3 Characterization of Nanoparticles Size -- 2.4 Characterization of Nanoparticles Morphology and Structure -- 2.5 Physicochemical Characterization of Nanoparticles -- 2.6 Conclusion -- References -- Chapter 3: Nanomedicine Clinical and Preclinical Use -- 3.1 Introduction -- 3.2 Micro- and Nanoparticulate Delivery Systems -- 3.2.1 Lipid-Based Nanoparticles -- 3.2.2 Self-Assembled Nanosystems -- 3.2.3 Polymeric Micro- and Nanoparticles -- 3.2.4 Inorganic Nanoparticles -- 3.2.4.1 Silica Nanoparticles -- 3.2.4.2 Metal and Metal Oxides Nanoparticles -- 3.2.5 Carbon Nanocarriers -- 3.2.5.1 Carbon Nanocapsules and Nanospheres -- 3.2.5.2 Carbon Nanotubes -- 3.2.6 Dendrimers -- 3.2.7 Nanocrystals -- 3.3 Nanoparticle Use in Therapy -- 3.3.1 Cancer -- 3.3.2 Neurodegenerative Diseases -- 3.3.3 Autoimmune Diseases -- 3.3.4 Metabolic Disorders -- 3.3.4.1 Diabetes Mellitus Type 1 -- 3.3.4.2 Lactose Intolerance -- 3.3.5 Cardiovascular Diseases -- 3.3.6 Vaccination and Infectious Diseases -- 3.3.7 Nutrition -- 3.3.7.1 Curcumin. 3.3.7.2 Probiotics -- 3.4 Nanoparticle Use for Therapeutic and Diagnostic Purposes -- 3.4.1 Magnetic Nanoparticles -- 3.4.2 Photosensitizer Nanoparticles -- 3.4.3 Radiolabeled Nanoparticles -- 3.4.4 Bi- and Multimodal Nanoparticles -- 3.4.4.1 MR-Optical Dual-Modality in Vivo Imaging -- 3.4.4.2 MR-PET Dual-Modality in Vivo Imaging -- 3.4.4.3 Other Multimodality Imaging -- References -- Chapter 4: Green Synthesis and Characterization of Semiconductor and Metal Nanoparticles -- 4.1 Introduction -- 4.2 Semiconductor Nanoparticles -- 4.3 Metal Nanoparticles -- 4.4 Green Synthesis of Nanomaterials -- 4.5 Characterization Techniques for Nanoparticles -- 4.5.1 Optical Characterization -- 4.5.1.1 UV-Vis Spectroscopy -- 4.5.1.2 Photoluminescence Spectroscopy -- 4.5.1.3 FT-IR Spectroscopy -- 4.5.1.4 Raman Spectroscopy -- 4.5.2 Morphological Characterization -- 4.5.2.1 X-Ray Diffraction Analysis Studies -- 4.5.2.2 Dynamic Light Scattering Technique (DLS) -- 4.5.2.3 Surface Area Analysis (BET) -- 4.5.2.4 X-Ray Photoelectron Spectroscopy -- 4.5.2.5 Atomic Force Microscope (AFM) -- 4.5.2.6 Scanning Electron Microscope (SEM) -- 4.5.2.7 Transmission Electron Microscope (TEM) -- 4.5.3 Elemental Analysis -- 4.5.3.1 Energy Dispersive X-Ray Spectroscopy (EDX) -- 4.5.3.2 Inductively Coupled Plasma Mass Spectrometry (ICP-MS) -- 4.5.4 Biological Characterization -- 4.5.4.1 In Vitro Analysis -- 4.5.4.2 In Vivo Analysis -- 4.6 Nanoparticles in Various Applications -- 4.7 Conclusions -- References -- Section II : Interaction with Biological Systems -- Chapter 5: The Nanoparticle "Coronome" Is Mainly Explained by InterPro Domains of Proteins -- 5.1 Experimental Design: Nanoparticle, Plasma Incubation, and Elution Method Vary Highly -- 5.2 Proteins Retrieved from Corona Are Frequently Linked in Interactomes -- 5.3 Certain InterPro Domains (IPD) Are More Frequently Retrieved. 5.4 Determination of IPD Facilitates Better Knowledge of NP "Biological Identity" -- Acknowledgments -- References -- Chapter 6: Nanoparticles and Viruses as Mitophagy Inducers in Immune Cells -- 6.1 Welcome to the Synthetic and Natural "Nanoworld" -- 6.2 Autophagy -- 6.3 NPs and Autophagy -- 6.3.1 Autophagy Activation by NPs -- 6.3.2 Autophagy Blockade by NPs -- 6.3.3 Mechanisms of Autophagy and Lysosomal Dysfunction Induced by NPs -- 6.4 NPs and Mitochondria -- 6.4.1 Mitochondria as Intracellular Targets and Their Targeting by NPs -- 6.4.2 NPs Cause Mitochondrial Stress -- 6.5 What Is the Relationship between Viruses, NPs, and Autophagy? -- 6.5.1 Reticulum Endoplasmic Stress -- 6.5.2 Mitophagy -- 6.5.3 Virus and NP Interaction with Membrane Receptors -- 6.6 Conclusion -- References -- Section III : Safety Assessment for Human Use -- Chapter 7: Rodent Inhalation Studies in Nanomaterial Risk Assessment -- 7.1 Introduction -- 7.2 Aerosol Generation and Characterization -- 7.2.1 Aerosol Generation -- 7.2.1.1 From Nanopowder -- 7.2.1.2 Direct Synthesis Methods -- 7.2.2 Aerosol Characterization -- 7.3 Animal Exposure -- 7.3.1 Regulations in Animal Research -- 7.3.2 Environmental Conditions -- 7.3.3 Exposure Methods -- 7.3.3.1 Nose-Only Inhalation -- 7.3.3.2 Whole-Body Inhalation -- 7.3.3.3 Endotracheal Intubation -- 7.4 Deposited Dose -- 7.4.1 Deposition Models -- 7.4.2 Lung Particle Deposition, Retention, and Clearance -- 7.5 Pulmonary Toxicity of Nanomaterials -- 7.5.1 Pulmonary Inflammation -- 7.5.2 Genotoxicity -- 7.5.3 Carcinogenicity -- 7.6 Biodistribution of Inhaled Nanomaterials -- 7.7 Extrapulmonary Toxicity of Nanomaterials -- 7.7.1 Neurotoxicity -- 7.7.2 Reproductive Toxicity -- 7.7.3 Cardiovascular Toxicity -- 7.8 From Experimental Data to Occupational Exposure Limit -- 7.9 Nanomaterial Grouping -- 7.10 Conclusions -- References. Chapter 8: In Vivo Evaluation of the Hepatonephrotoxicity of Polymeric Nanoparticles in Rats -- 8.1 Introduction -- 8.2 Materials and Methods -- 8.2.1 Chemicals and Kits -- 8.2.2 Preparation of Eudragit RL Nanoparticles -- 8.2.3 Physical Characterization of Nanoparticles -- 8.2.4 Morphological Determination -- 8.2.5 Experimental Rats -- 8.2.6 Experimental Design -- 8.2.7 Statistical Analysis -- 8.3 Results -- 8.4 Discussion -- 8.5 Conclusion -- Acknowledgments -- References -- Chapter 9: In Vitro Exposure Systems to Assess the Toxicity of Airborne Substances -- 9.1 Background -- 9.1.1 Advantages of In Vitro Testing Using Cells from the Respiratory Tract -- 9.1.2 Submerged Exposure Conditions versus Air-Liquid Interface (ALI) Exposure -- 9.2 Exposure Systems -- 9.2.1 Manual Exposure Systems -- 9.2.2 Automated Exposure System -- 9.2.3 Dose Monitoring -- 9.2.4 Deposition Enhancement by Electrical Field -- 9.2.5 Sampling Ports for Particle Analyzers -- 9.3 Summary -- Acknowledgments -- References -- Chapter 10: Nanoparticles as Nitroso-Glutathion Vehicles -- 10.1 Introduction -- 10.2 Materials and Methods -- 10.2.1 Cell Culture -- 10.2.2 Nanoparticles Preparation -- 10.2.3 Nanoparticles Characterization -- 10.2.4 Cytotoxicity Assay -- 10.2.4.1 MTT Assay -- 10.2.4.2 WST-1 Assay -- 10.2.4.3 Neutral Red Assay -- 10.2.5 Uptake Study -- 10.2.5.1 Transmission Electron Microscopy -- 10.2.5.2 Flow Cytometry -- 10.2.5.3 Confocal Study -- 10.2.5.4 Microarray Study -- 10.2.5.5 Statistical Analysis -- 10.3 Results -- 10.3.1 Cytotoxicity Studies -- 10.3.2 Flow Cytometry Assay -- 10.3.3 Confocal Laser Microscopy Scanning -- 10.3.4 Transcriptomic Study -- 10.3.5 Clusters (PANTHER) -- 10.3.6 String -- 10.4 Discussion -- References -- Section IV : Medical Use -- Chapter 11: Transbarrier Trafficking of Nanoparticles -- 11.1 Introduction. 11.2 Tumor Microenvironmental Barriers to Nanoparticle Trafficking -- 11.2.1 Geometrical Barrier -- 11.2.2 Hydraulic Barrier -- 11.2.3 Physicochemical Barrier -- 11.2.4 Immunological Barrier -- 11.2.5 Cellular Barriers -- 11.3 Strategies to Overcome Tumor Barriers -- 11.4 Specific Nano-Strategies for Enhancing Cancer Cell Uptake and Intracellular Trafficking -- 11.4.1 Nanoparticle Size -- 11.4.2 Nanoparticle Composition and Stimulus-Responsiveness -- 11.4.3 Nanoparticle Surface Charge -- 11.4.4 Nanoparticle Shape -- 11.4.5 Nanoparticle Surface Chemistry/Hydrophobicity and Surface Modification -- 11.5 Cancer Cell Type as a Selective Barrier to NP Trafficking -- 11.6 Quantification of Nanoparticle Cancer Cell Uptake and Intracellular Trafficking -- 11.6.1 Laser Scanning Microscopy -- 11.6.2 Flow Cytometry -- 11.6.3 Inductively Coupled Plasma Techniques -- 11.6.4 Transmission Electron Microscopy -- 11.7 Future Perspectives and Concluding Remarks -- References -- Chapter 12: Polymeric Nanoparticles as a Vehicle for Delivery of Antioxidants in the Brain -- 12.1 Introduction -- 12.1.1 Some Properties of the Blood-Brain Barrier -- 12.1.2 General Aspects of Nanoparticles -- 12.2 Polymers and Nanoparticles Preparation -- 12.2.1 Polymers Used for Biomedical Applications -- 12.2.2 Preparation of Nanoparticles -- 12.3 First Generation Nanoparticle System -- 12.4 Second Generation Nanoparticle System -- 12.5 Third Generation of Nanoparticle System -- 12.5.1 Targeting Neuronal Cells -- 12.5.2 Targeting the Blood-Brain Barrier -- 12.6 The Fourth Generation: Stimuli-Responsive Nanoparticles -- 12.7 Conclusion -- References -- Chapter 13: Application of Nanomaterials in Photodynamic Therapy -- 13.1 Introduction -- 13.2 Photosensitizers Used in Photodynamic Therapy -- 13.2.1 Porphyrin Macromolecules -- 13.2.2 Non-Porphyrin Photosensitizers. 13.3 Nanomaterials in Photodynamic Therapy. EBL201712 Health Physics and Radiation Effects SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5023817 ebook n 201749 201712 21 PUBLIC https://catalogue.library.cern/legacy/2295969 BOOK MIGRATED 2295956 SzGeCERN 20200610213327.0 9781138748323 electronic version electronic version 9781138748323 print version 9781351651998 electronic version electronic version oai:cds.cern.ch:2295956 cerncds:BOOK EBL 5014887 eng TJ1280.B353 2018 621.9/42 Balasubramaniam, R Diamond turn machining theory and practice Milton CRC Press 2017 177 p ebook Micro and nanomanufacturing series Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Foreword -- Preface -- Authors -- Chapter 1: Introduction -- 1.1 The Need: Fabricating Smooth Surfaces -- 1.2 Conventional Machining and the Need to Go Beyond -- 1.3 Diamond Turn Machining (DTM) -- 1.4 Place of DTM in the Process Chain -- 1.5 Summary -- Chapter 2: Diamond Turn Machines -- 2.1 Introduction -- 2.2 Classification of Diamond Turn Machines -- 2.3 Requirements of Diamond Turn Machines -- 2.3.1 Positional Accuracy and Repeatability of Moving Elements -- 2.3.2 Balanced Loop Stiffness -- 2.3.3 Thermal Effects -- 2.3.4 Vibration Effects -- 2.4 Characteristics and Capabilities of Diamond Turn Machines -- 2.5 Components of Diamond Turn Machines -- 2.6 Technologies Involved in Diamond Turn Machine Building -- 2.7 Environmental Requirements for Diamond Turn Machines -- 2.8 Sample Machine Specification Sheet -- 2.9 Summary -- 2.10 Sample Solved Problems -- 2.11 Sample Unsolved Problems -- Chapter 3: Mechanism of Material Removal -- 3.1 Introduction -- 3.2 Comparison of Deterministic and Random Machining Process -- 3.3 Cutting Mechanisms for Engineering Materials -- 3.4 Micro- and Nano-Regime Cutting Mechanisms -- 3.5 Ductile Regime Machining of Brittle Materials -- 3.6 Machining of Polymers -- 3.7 Summary -- 3.8 Sample Solved Problems -- 3.9 Sample Unsolved Problems -- Chapter 4: Tooling for Diamond Turn Machining -- 4.1 Introduction -- 4.2 Tool Materials and Their Requirements -- 4.3 Single Crystal Diamond Tools -- 4.4 Tool Geometry -- 4.5 Diamond Tool Fabrication -- 4.6 Tool Wear -- 4.7 Tool Setting in DTM -- 4.8 Summary -- 4.9 Unsolved Problems -- Chapter 5: DTM Process Parametres and Optimisation -- 5.1 Introduction -- 5.2 Diamond Turn Machining Process and Parametres -- 5.2.1 Spindle Speed -- 5.2.2 Feed Rate -- 5.2.3 Depth of Cut -- 5.2.4 Tool Shank Overhang. 5.2.5 Coolant -- 5.2.6 Clamping Method and Footprint Error -- 5.3 Vibration Related Issues -- 5.4 Thermal Issues in Diamond Turn Machining -- 5.5 Optimisation of DTM Parametres -- 5.6 Summary -- 5.7 Sample Solved Problems -- 5.8 Questions and Problems -- Chapter 6: Tool Path Strategies in Surface Generation -- 6.1 Introduction -- 6.2 Tool Paths for Symmetric Macro Shapes -- 6.3 Tool Paths for Producing Asymmetric Macro Shapes -- 6.3.1 Synchronisation of Spindle Rotation -- 6.3.2 Slow Tool Servo (STS) -- 6.4 Tool Paths for Producing Micro-Features -- 6.4.1 Fast Tool Servo (FTS) -- 6.5 Tool Normal Motion Path -- 6.6 Deterministic Surface Generation -- 6.7 Summary -- 6.8 Questions and Problems -- Chapter 7: Application of DTM Products -- 7.1 Introduction -- 7.2 Diamond Turn Machining Applications -- 7.3 Applications in the Optical Domain -- 7.4 Polymer Optics Products -- 7.5 Mold Inserts for Polymer Optics -- 7.6 Metal Optics -- 7.7 IR Optics -- 7.8 Diamond Turn Machined Ultra-Precision Components -- 7.9 Major Diamond Turn Machining Application Areas -- 7.10 Materials Machinable by DTM -- 7.10.1 Metals -- 7.10.2 Polymers -- 7.10.3 Crystals -- 7.11 Summary -- Chapter 8: DTM Surfaces - Metrology - Characterization -- 8.1 Introduction -- 8.2 Surface Quality -- 8.2.1 Form Error -- 8.2.2 Figure Error -- 8.2.3 Finish Error -- 8.3 Quantification of Surface Errors -- 8.4 Surface Texture -- 8.5 Surface Texture Parametres -- 8.6 Spatial Parametres -- 8.7 Amplitude Parametres -- 8.8 Power Spectral Density -- 8.9 Tolerance -- 8.10 Metrology by Stylus-Based Profilometres -- 8.11 Sources of Errors in Surface Quality -- 8.12 Ogive Error -- 8.13 Metrology Errors -- 8.14 Thermal Effects and Metrology -- 8.15 Error Compensation Techniques -- 8.16 Summary -- Chapter 9: Advances in DTM Technology -- 9.1 Introduction -- 9.2 DTM Process Monitoring. 9.3 Developments Related to Machine Tools -- 9.4 Developments Related to Cutting Tools -- 9.5 Influence of Coolant in DTM -- 9.6 Vibration-Based Controlled-Tool Motion -- 9.7 Tool-Path Planning -- 9.8 New Materials and Materials Treatment -- 9.9 Tool Holding for DTM -- 9.10 Summary -- 9.11 Questions -- Bibliography -- Index. EBL201712 Engineering SzGeCERN BOOK Sarepaka, RamaGopal V Subbiah, Sathyan https://cds.cern.ch/auth.py?r=EBLIB_P_5014887 ebook n 201749 201712 21 PUBLIC BOOK DELETED 2295933 SzGeCERN 20200610213327.0 9781498723312 electronic version electronic version 9781498723312 print version 9781498723329 electronic version electronic version oai:cds.cern.ch:2295933 cerncds:BOOK EBL 4981646 eng R856.G373 2018 610.28 Gardiner, David M Regenerative engineering and developmental biology principles and applications Milton CRC Press 2017 647 p ebook CRC Press series in regenerative engineering Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgments -- Editor -- Contributors -- 1: Introduction to regenerative engineering and developmental biology -- SECTION I: SIGNALS ASSOCIATED WITH INJURY THAT INITITATE REGENERATION -- 2: Reactive oxygen species and neuroepithelial interactions during wound healing -- 3: Controlling both the constructive power and the destructive power of inflammation to promote repair and regeneration -- 4: Bioelectrical coordination of cell activity toward anatomical target states: An engineering perspective on regeneration -- 5: The role of nerves in the regulation of regeneration -- 6: Physiological aspects of blastema formation in mice -- SECTION II: HOW CELLS COMMUNICATE TO REMAKE THE PATTERN AND RESTORE FUNCTION -- 7: Retinoic acid and the genetics of positional information -- 8: MicroRNA signaling during regeneration -- 9: Recovering what was lost: Can morphogens scale to enable regeneration? -- 10: Environmental factors contribute to skeletal muscle and spinal cord regeneration -- 11: Engineered flies for regeneration studies -- 12: Positional information in the extracellular matrix: Regulation of pattern formation by heparan sulfate -- 13: Organ shaping by localized signaling centers -- 14: The positional information grid in development and regeneration -- 15: Theorizing about gene expression heterogeneity patterns after cell dedifferentiation and their potential value for regenerative engineering -- SECTION III: INTEGRATION OF NEW STRUCTURES WITH THE OLD -- 16: Directed differentiation of pluripotent stem cells in vitro -- 17: Dedifferentiation as a cell source for organ regeneration -- 18: Epigenetic control of cell fate and behavior -- 19: Developmental plasticity and tissue integration. SECTION IV: PRINCIPLES OF ORGAN DEVELOPMENT AND REGENERATION -- 20: Functional ectodermal organ regeneration based on epithelial and mesenchymal interactions -- 21: Blastema formation in mammalian digit-tip regeneration -- 22: Spinal cord repair and regeneration -- 23: Heart regeneration -- 24: Eye tissue regeneration and engineering -- 25: Skin development and regeneration, and the control of fibrosis -- 26: Programming cells to build tissues with synthetic biology: A new pathway toward engineering development and regeneration -- 27: Recurrent concepts -- Index. EBL201712 Health Physics and Radiation Effects SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4981646 ebook n 201749 201712 21 PUBLIC BOOK DELETED 2295928 SzGeCERN 20200610213327.0 9781138747173 electronic version electronic version 9781138747173 print version 9781351646932 electronic version electronic version oai:cds.cern.ch:2295928 cerncds:BOOK EBL 4978856 eng G70.4.P8 2017 621.36779999999999 Pu, Ruiliang Hyperspectral remote sensing fundamentals and practices London CRC Press 2017 491 p ebook Remote sensing applications series Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Foreword -- Preface -- Acknowledgments -- Author -- Introduction -- Chapter 1: Overview of Hyperspectral Remote Sensing -- 1.1 Concepts of Imaging Spectroscopy -- 1.1.1 Spectroscopy -- 1.1.2 Imaging Spectroscopy -- 1.1.3 Hyperspectral Remote Sensing -- 1.1.4 Differences between Hyperspectral and Multispectral Imaging -- 1.1.5 Absorption Features and Diagnostic Spectral Features -- 1.2 Development of Hyperspectral Remote Sensing -- 1.3 Overview of Hyperspectral Remote Sensing Applications -- 1.3.1 Geology and Soils -- 1.3.2 Vegetation and Ecosystems -- 1.3.3 The Atmosphere -- 1.3.4 Coastal and Inland Waters -- 1.3.5 Snow and Ice Hydrology -- 1.3.6 Environmental Hazards -- 1.3.7 Urban Environments -- 1.4 Perspective of Hyperspectral Remote Sensing -- 1.5 Summary -- References -- Chapter 2: Field Spectrometers and Plant Biology Instruments for HRS -- 2.1 Non-Imaging Field Spectrometers -- 2.1.1 Introduction -- 2.1.2 Principles of Field Spectroscopy and General Guidelines on Field Techniques -- 2.1.2.1 Principles of Field Spectroscopy -- 2.1.2.2 General Guidelines on Field Technique -- 2.1.3 Field Spectrometers -- 2.1.3.1 ASD Field Spectroradiometers -- 2.1.3.2 SVC (GER) Field Spectroradiometers -- 2.1.3.3 Spectral Evolution Field Spectroradiometers -- 2.1.3.4 SpectraScan Spectroradiometers -- 2.1.3.5 Ocean Optical Spectrometers -- 2.2 Plant Biology Instruments for HRS -- 2.2.1 Introduction -- 2.2.2 Plant Biology Instruments -- 2.2.2.1 Instruments for Measuring Leaf Area and Leaf Area Index -- 2.2.2.2 Instruments for Measuring Photosynthesis and fPAR -- 2.2.2.3 Instruments for Measuring Chlorophyll Content -- 2.3 Summary -- References -- Chapter 3: Imaging Spectrometers, Sensors, Systems, and Missions -- 3.1 Working Principles of Imaging Spectrometry. 3.1.1 Whiskbroom Imaging Spectrometry -- 3.1.2 Pushbroom Imaging Spectrometry -- 3.2 Airborne Hyperspectral Sensors/Systems -- 3.2.1 Advanced Airborne Hyperspectral Imaging Sensor (AAHIS) -- 3.2.2 Airborne Imaging Spectrometer (AIS) -- 3.2.3 Airborne Imaging Spectrometer for Different Applications (AISA) -- 3.2.4 Advanced Solid-State Array Spectroradiometer (ASAS) -- 3.2.5 Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) -- 3.2.6 Compact Airborne Spectrographic Imager (CASI) -- 3.2.7 Compact High-Resolution Imaging Spectrograph Sensor (CHRISS) -- 3.2.8 Digital Airborne Imaging Spectrometers (DAIS 7915, 16115) -- 3.2.9 Fluorescence Line Imager (FLI) -- 3.2.10 Hyperspectral Digital Imagery Collection Experiment (HYDICE) -- 3.2.11 Hyperspectral Mapper (HyMap) -- 3.2.12 HyperSpectral Cameras (HySpex) -- 3.2.13 Infrared Imaging Spectrometer (ISM) -- 3.2.14 Modular Airborne Imaging Spectrometer (MAIS) -- 3.2.15 Modular Imaging Spectrometer Instrument (MISI) -- 3.2.16 Multispectral Infrared Camera (MUSIC) -- 3.2.17 Probe-1 -- 3.2.18 Reflective Optics System Imaging Spectrometer (ROSIS) -- 3.2.19 SWIR Full Spectrographic Imager (SFSI) -- 3.2.20 Spatially Modulated Imaging Fourier Transform Spectrometer (SMIFTS) -- 3.2.21 TRW Imaging Spectrometers (TRWIS) -- 3.2.22 Variable Interference Filter Imaging Spectrometer (VIFIS) -- 3.2.23 Wedge Imaging Spectrometer (WIS) -- 3.3 Spaceborne Hyperspectral Sensors/Missions -- 3.3.1 Advanced Responsive Tactically Effective Military Imaging Spectrometer (ARTEMIS), TacSat-3 Satellite -- 3.3.2 Compact High-Resolution Imaging Spectrometer (CHRIS), PROBA Satellite -- 3.3.3 Fourier Transform Hyperspectral Imager (FTHSI), MightySat II Satellite -- 3.3.4 Global Imager (GLI), NASDA ADEOS-II Satellite -- 3.3.5 HJ-A/HSI (Hyperspectral Imager, HJ-1A Satellite) -- 3.3.6 Hyperion (Hyperspectral Imager, EO-1 Satellite). 3.3.7 HySI (HyperSpectral Imager, IMS-1 satellite) -- 3.3.8 Medium-Resolution Imaging Spectrometer (MERIS), ESA ENVISAT Satellite -- 3.3.9 Moderate-Resolution Imaging Spectroradiometer (MODIS), Terra/Aqua Satellites -- 3.3.10 Environmental Mapping and Analysis Program (EnMAP) -- 3.3.11 Fluorescence Explorer (FLEX) -- 3.3.12 Hyperspectral Imager Suite (HISUI) -- 3.3.13 Hyperspectral Infrared Imager (HyspIRI) -- 3.3.14 Multisensor Microsatellite Imager (MSMI) -- 3.3.15 Hyperspectral Precursor and Application Mission (PRISMA) -- 3.4 Summary -- References -- Chapter 4: Hyperspectral Image Radiometric Correction -- 4.1 Introduction -- 4.2 Atmospheric Effects -- 4.2.1 Atmospheric Refraction -- 4.2.2 Atmospheric Scattering -- 4.2.3 Atmospheric Absorption -- 4.2.4 Atmospheric Transmittance -- 4.3 Correcting Radiometric Errors Induced by Sensors/Systems -- 4.3.1 Introduction to Radiometric Errors Caused by Sensors/Systems -- 4.3.2 De-Striping -- 4.3.3 Correcting Smile- and Keystone-Induced Errors -- 4.4 Atmospheric Correction Methods -- 4.4.1 Introduction to Atmospheric Correction -- 4.4.2 Empirical/Statistical Methods -- 4.4.2.1 The Empirical Line Calibration (ELC) -- 4.4.2.2 Internal Average Reflectance (IAR) and Flat Field Correction (FFC) -- 4.4.3 Radiative Transfer Methods -- 4.4.3.1 Atmospheric Correction Now (ACORN) -- 4.4.3.2 Atmospheric Correction (ATCOR) -- 4.4.3.3 Atmosphere Removal (ATREM) -- 4.4.3.4 Fast Line-of-Sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) -- 4.4.3.5 High-Accuracy Atmospheric Correction for Hyperspectral Data (HATCH) -- 4.4.3.6 Imaging Spectrometer Data Analysis System (ISDAS) -- 4.4.3.7 Comparison -- 4.4.4 Relative Correction Methods -- 4.5 Techniques for Estimating Atmospheric Water Vapor and Aerosols -- 4.5.1 Atmospheric Water Vapor -- 4.5.1.1 Narrow/Wide (N/W) Technique. 4.5.1.2 Continuum Interpolated Band Ratio (CIBR) -- 4.5.1.3 Three-Band Ratioing (3BR) -- 4.5.1.4 Linear Regression Ratio (LIRR) -- 4.5.1.5 Atmospheric Pre-Corrected Differential Absorption (APAD) -- 4.5.2 Atmospheric Aerosols -- 4.5.2.1 Dark Dense Vegetation (DDV) Technique -- 4.5.2.2 Aerosol Optical Thickness at 550 nm (AOT at 550 nm) -- 4.6 Summary -- References -- Chapter 5: Hyperspectral Data Analysis Techniques -- 5.1 Introduction -- 5.2 Spectral Derivative Analysis -- 5.3 Spectral Similarity Measures -- 5.3.1 Cross-Correlogram Spectral Matching (CCSM) -- 5.3.2 Spectral Angle Matching (SAM) -- 5.3.3 Euclidian Distance (ED) -- 5.3.4 Spectral Information Divergence (SID) -- 5.4 Spectral Absorption Features and Wavelength Position Variables -- 5.4.1 Four-Point Interpolation -- 5.4.2 Polynomial Fitting -- 5.4.3 Lagrangian Technique -- 5.4.4 IG Modeling -- 5.4.5 Linear Extrapolation -- 5.5 Spectral Vegetation Indices -- 5.6 Hyperspectral Transformation and Feature Extraction -- 5.6.1 Principal Components Analysis (PCA) -- 5.6.2 Signal-to-Noise Ratio-Based Image Transforms -- 5.6.2.1 Maximum Noise Fraction (MNF) Transform -- 5.6.2.2 Noise-Adjusted Principal Component Transform -- 5.6.3 Independent Component Analysis -- 5.6.4 Canonical Discriminant Analysis (CDA) -- 5.6.5 Wavelet Transform -- 5.7 Spectral Mixture Analysis (SMA) -- 5.7.1 Traditional Spectral Unmixing Modeling Techniques -- 5.7.2 Artificial Neural Networks Solution to LSM -- 5.7.3 Multiple End-Member Spectral Mixture Analysis (MESMA) -- 5.7.4 Mixture-Tuned Matched Filtering Technique (MTMF) -- 5.7.5 Constrained Energy Minimization (CEM) -- 5.7.6 End-Member Extraction -- 5.7.6.1 Pixel Purity Index (PPI) -- 5.7.6.2 N-Finder -- 5.8 Hyperspectral Image Classifications -- 5.8.1 Segment-Based Multispectral Classifiers -- 5.8.2 Artificial Neural Networks (ANN) -- 5.8.3 Support Vector Machines. 5.8.3.1 Linear SVM for a Separable Case -- 5.8.3.2 Linear SVM for a Nonseparable Case -- 5.8.3.3 Nonlinear SVM: Kernel Method -- 5.8.3.4 SVMs for Multiclass Classification -- 5.9 Summary -- References -- Chapter 6: Hyperspectral Data Processing Software -- 6.1 Introduction -- 6.2 ENVI -- 6.2.1 Atmospheric Correction -- 6.2.2 Building a 3D Image Cube and Plotting Spectral Curve -- 6.2.3 Data Transformation -- 6.2.4 End-Member Determination and Extraction -- 6.2.5 Spectral Unmixing -- 6.2.6 Target Detection -- 6.2.7 Mapping and Discriminant Methods -- 6.2.8 Vegetation Analysis and Suppression -- 6.3 ERDAS IMAGINE -- 6.3.1 IMAGINE Spectral Analysis Workstation -- 6.3.2 Anomaly Detection -- 6.3.3 Target Detection -- 6.3.4 Material Mapping -- 6.3.5 Material Identification -- 6.3.6 Atmospheric Adjustment -- 6.4 IDRISI -- 6.4.1 Hyperspectral Signature Development -- 6.4.2 Hyperspectral Image Classification -- 6.4.3 Extraction of Absorption Features -- 6.5 PCI Geomatics -- 6.5.1 Data Visualization -- 6.5.2 Atmospheric Correction -- 6.5.3 Hyperspectral Unmixing and Mapping -- 6.6 TNTmips -- 6.6.1 Hyperspectral Explorer Tool -- 6.6.2 Atmospheric Correction -- 6.6.3 Hyperspectral Image Transformation -- 6.6.4 Hyperspectral Unmixing and Mapping -- 6.7 Other Minor Software Tools and Programs for Processing Hyperspectral Data -- 6.7.1 DARWin -- 6.7.1.1 Set Smoothing Filter Width -- 6.7.1.2 EZ-ID Quick Material Identification Tool -- 6.7.1.3 Vegetation Indices -- 6.7.2 Hyperspectral Image Processing and Analysis System (HIPAS) -- 6.7.3 Imaging Spectrometer Data Analysis Systems (ISDAS) -- 6.7.4 Integrated Software for Imagers and Spectrometers (ISIS) -- 6.7.5 MATLAB® -- 6.7.6 MultiSpec -- 6.7.7 Optical Real-Time Adaptive Spectral Identification System (ORASIS) -- 6.7.8 Processing Routines in IDL for Spectroscopic Measurements (PRISM) -- 6.7.9 SPECMIN. 6.7.10 Spectrum Processing Routines (SPECPR). EBL201712 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4978856 ebook n 201749 201712 21 PUBLIC BOOK DELETED 2295914 SzGeCERN 20180320200708.0 9781317562573 (electronic bk.) electronic version 9781138027213 electronic version EBL 4943923 eng TD345.G468 2018 621.44000000000005 Bundschuh, Jochen Geothermal water management London CRC Press 2017 462 p Sustainable water developments - resources, management, treatment, efficiency and reuse Cover -- Half Title -- Title Page -- About the book series -- Editorial board -- Table of contents -- List of contributors -- Editors' foreword -- About the editors -- Acknowledgements -- Section I Resources, geochemical properties and environmental implications of geothermal water -- 1. A global assessment of geothermal resources -- 1.1 Introduction -- 1.2 Definitions and classification of geothermal resources -- 1.2.1 Definitions of geothermal energy and geothermal resources -- 1.2.2 Classification of geothermal resources -- 1.3 Methods of regional assessment of geothermal resources -- 1.3.1 Volume method of resource assessment -- 1.3.2 Economic evaluation of hydrogeothermal aquifers -- 1.4 New concepts of geothermal resources classification -- 1.5 Results of geothermal resources assessment -- 1.5.1 World geothermal resources -- 1.5.2 European geothermal resources -- 1.5.3 Polish geothermal resources -- 2. Reinjection of cooled water back into a reservoir -- 2.1 Introduction -- 2.2 Mathematical model for assessing the conditions for injecting water into a rock formation -- 2.2.1 Estimation of power and energy demand associated with reinjection -- 2.2.2 Estimation of required pressure for reinjection -- 2.2.3 Heat transfer between saline water and the geological medium in the vicinity of the absorption well -- 2.3 Injection of saline water into rock formation -- 2.3.1 Parameters of water and borehole construction -- 2.3.2 Dynamics of the clogging process in the active area -- 2.4 Summary -- 3. Geothermal and hydrogeological conditions, geochemical properties and uses of geothermal waters of the Slovakia -- 3.1 Introduction -- 3.2 Geological structure -- 3.2.1 Inner Carpathians -- 3.2.2 Outer Carpathians -- 3.3 Characteristics of geothermal bodies -- 3.4 Geothermal waters' chemical composition. 3.5 Abstraction and thermal energy potential of geothermal waters -- 4. Resources, geochemical features and environmental implications of the geothermal waters in the continental rift zone of the Büyük Menderes, Western Anatolia, Turkey -- 4.1 Introduction -- 4.2 Geologic setting -- 4.3 Hydrogeology and hydrogeochemistry -- 4.3.1 Hydrogeology -- 4.3.2 Hydrogeochemistry -- 4.3.3 Isotope geochemistry -- 4.4 Resources and geothermal potential -- 4.4.1 Kızıldere -- 4.4.2 Salavatlı -- 4.4.3 Germencik -- 4.4.4 Other geothermal reservoirs -- 4.5 Environmental implications -- 4.5.1 Water quality and use -- 4.5.2 Air emissions -- 4.5.3 Land use -- 4.5.4 Life-cycle global warming emissions -- 4.6 Model of the geothermal waters in the rift zone of the Büyük Menderes -- Section II Treatment of geothermal water for reuse -- 5. Analytical procedures for ion quantification supporting water treatment processes -- 5.1 Introduction -- 5.2 Groundwater sampling -- 5.3 Quality assurance/quality control (QA/QC) program -- 5.3.1 Laboratory QA/QC program -- 5.3.2 Field QA/QC program -- 5.4 QA/QC program in geothermal water monitoring - the case of Bańska PGP-1 well (Bańska Niżna, Poland) -- 5.4.1 Characteristics of the study object -- 5.4.2 Laboratory QA/QC program -- 5.4.3 Field QA/QC program -- 5.5 Summary -- 6. Treatment of geothermal waters for industrial and agricultural purposes -- 6.1 Introduction -- 6.2 Geothermal potential of Turkey -- 6.3 Main utilization areas of geothermal energy -- 6.4 Environmental issues -- 6.5 Chemistry of geothermal fluids -- 6.5.1 Toxic elements in geothermal water -- 6.5.1.1 Arsenic -- 6.5.1.2 Boron -- 6.5.1.3 Mercury -- 6.6 Treatment of geothermal water -- 6.6.1 Boron removal from geothermal water -- 6.6.1.1 Boron removal by solvent extraction -- 6.6.1.2 Boron removal by coagulation and electrocoagulation. 6.6.1.3 Boron removal by adsorption -- 6.6.1.4 Boron removal by ion-exchange -- 6.6.1.5 Boron removal by membrane processes -- 6.6.2 Arsenic removal from geothermal water -- 7. Removal of boron and arsenic from geothermal water by ion-exchange -- 7.1 Introduction -- 7.2 Removal of boron from geothermal water by ion-exchange -- 7.2.1 Toxicity of boron -- 7.2.2 Boron removal methods -- 7.2.2.1 Removal of boron by ion-exchange -- 7.2.2.2 Removal of boron by sorption-membrane filtration hybrid method -- 7.2.2.3 Novel sorbents for boron removal from geothermal water -- 7.3 Removal of arsenic from geothermal water by ion-exchange -- 7.3.1 Toxicity of arsenic -- 7.3.2 Methods of arsenic removal -- 7.3.2.1 Removal of arsenic by ion-exchange -- 8. Membrane techniques in the treatment of geothermal water for fresh and potable water production -- 8.1 Introduction -- 8.2 Desalination methods -- 8.2.1 Thermal methods -- 8.2.2 Reverse osmosis (RO) -- 8.2.2.1 The basis of the RO process -- 8.2.2.2 Water desalination by means of RO -- 8.2.2.3 The pretreatment of raw water for RO desalination -- 8.2.2.4 Membranes -- 8.2.2.5 Membrane modules -- 8.2.2.6 Energy recovery -- 8.2.2.7 Final treatment of desalinated water -- 8.2.3 Electrodialysis -- 8.2.4 Membrane distillation -- 8.2.5 Forward osmosis -- 8.3 Concentrate utilization -- 8.4 Integrated desalination systems -- 8.4.1 Integration of reverse osmosis with thermal methods -- 8.4.2 Hybrid systems with nanofiltration -- 8.4.3 Hybrid systems with ion-exchange/electrodeionization -- 8.5 The consideration of energy issues in water desalination -- 8.5.1 Energy consumption -- 8.5.2 The use of renewable energy sources -- 8.5.2.1 Wind energy -- 8.5.2.2 Solar energy -- 8.5.2.3 Hybrid systems of wind and solar energy -- 8.5.2.4 Geothermal energy. 8.5.2.5 The comparison of various desalination technologies supplied by renewable energy -- 8.6 Economic analyses of desalination processes -- 8.7 Final remarks -- 9. Review of direct discharge and recovery of reverse osmosis concentrates -- 9.1 Introduction -- 9.2 Global desalination overview -- 9.3 RO desalination: characteristics and drawbacks -- 9.4 RO concentrates: influence of production site -- 9.5 Adverse effects of current RO concentrate management options -- 9.6 Treatment technologies of RO concentrates: review -- 10. Geothermal water treatment in Poland -- 10.1 Introduction -- 10.2 Characteristics of geothermal waters -- 10.2.1 Waters of the Podhale geothermal system -- 10.2.2 Lower Cretaceous geothermal waters in the Polish Lowlands -- 10.3 Research methodology -- 10.3.1 Apparatus -- 10.3.2 Water desalination and treatment procedure -- 10.3.3 Physico-chemical, microbiological and radiological analysis -- 10.4 Results and discussion -- 10.4.1 Permeate test results -- 10.4.1.1 Retentate test results -- 10.5 Conclusions -- Section III The uses of geothermal water in agriculture -- 11. Coupling geothermal direct heat with agriculture -- 11.1 Introduction -- 11.2 Sustainability by integrating geothermal options into agriculture -- 11.3 Geothermal direct heat applications -- 11.3.1 Heating/cooling of spaces, buildings, and water -- 11.3.2 Drying of crops, fruits, grains and animal products -- 11.3.3 Milk pasteurization -- 11.3.4 Heating of greenhouses -- 11.3.5 Heating of uncovered ground -- 11.3.6 Aquaculture (fish, shellfish, frogs, algae, etc.) -- 11.3.7 Application of geothermal heat-energy in food-processing -- 11.3.7.1 Preheating and heating -- 11.3.7.2 Evaporation and distillation processes -- 11.3.7.3 Peeling/blanching processes -- 11.3.7.4 Sterilization -- 11.4 Agriculture within the cascade system of geothermal direct heat utilization. 11.5 Geothermal energy for thermal water desalination -- 11.6 Geothermal greenhouses development heating/cooling, ventilation, humidification, desalination -- 11.7 Geothermal aquifers as freshwater source -- 11.8 Conclusions -- Section IV The uses of geothermal water in balneotherapy -- 12. Short history of thermal healing bathing -- 12.1 Introduction -- 12.2 The Americas -- 12.3 Asia and the Middle East -- 12.4 European countries -- 13. Balneological use of geothermal springs in selected regions of the world -- 13.1 Introduction -- 13.2 Africa -- 13.3 The Americas -- 13.4 Asia and Middle East -- 13.5 European countries -- 13.6 SPA, wellness and health resort organizations -- 13.7 Summary -- 14. The importance of an integrated analytic approach to the study of physicochemical characteristics of natural thermal waters used for pelotherapy aims: perspectives for reusing cooled thermal waters for treatments related to thermalism applications -- 14.1 Introduction -- 14.2 Application of the integrated analytical approach and tensiometry on thermalism -- 14.2.1 Two contrasting thermal water systems -- 14.2.1.1 Euganean geothermal system (Veneto region, Italy) -- 14.2.1.2 Jelenia Góra geothermal system (the Sudetes Mountains, Poland) -- 14.2.2 Chemical and biological characteristics of studied thermal waters -- 14.2.2.1 Photosynthetic microorganisms of Euganean thermal waters -- 14.2.2.2 Temperature and pH of thermal waters -- 14.2.2.3 Chemical characteristics of studied thermal waters -- 14.2.3 Evaluation of Jelenia Góra thermal waters in terms of matured peloid production -- 14.2.4 Influence of HSW on the maturation process of thermal muds in Euganean Thermal Area (ETA) -- 14.2.4.1 The integrated analytical approach: volume elements analyses -- 14.2.4.2 The integrated analytical approach: rheologic analyses. 14.2.4.3 The integrated analytical approach: tensiometric analyses. Tomaszewska, Barbara 9781138027213 print version oai:cds.cern.ch:2295914 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4943923 ebook ebook EBL201712 Engineering SzGeCERN BOOK n 201749 201712 21 PUBLIC BOOK DELETED 2295861 SzGeCERN 20210421205943.0 9780128141007 electronic version electronic version 9780128141007 print version 9780128141014 electronic version electronic version oai:cds.cern.ch:2295861 cerncds:BOOK EBL 4926961 eng TJ165.B874 2017 621.31259999999997 Burheim, Odne Stokke Engineering energy storage San Diego, CA Elsevier Science 2017 236 p ebook Front Cover -- Engineering Energy Storage -- Copyright -- Contents -- Preface -- 1 Energy Storage -- 1.1 A Brief History of Energy -- 1.2 Renewable Energy and Energy Storage -- 1.3 Energy and Power -- 1.3.1 Energy and Power for Transportation -- 1.3.2 Ef ciency and Propagation of Ef ciency Losses -- Problems -- Solutions -- 2 General Thermodynamics -- 2.1 The First Law and Internal Energy U -- 2.2 Second Law and Entropy -- 2.2.1 Reversible Adiabatic Must Be Isentropic -- 2.2.2 The Carnot Ef ciency Limitation -- 2.3 Pressure and Volume -- 2.4 Enthalpy and Control Volumes -- 2.5 Gibbs Free Energy and Chemical Potential -- Problems -- Solutions -- 3 Mechanical Energy Storage -- 3.1 Introduction -- 3.2 Mechanical Energy Storage -- 3.2.1 Flywheels -- 3.2.1.1 The Energy -- 3.2.1.2 Other Aspects -- 3.2.2 Hydroelectric Energy Storage -- Problems -- Solutions -- 4 Thermal Energy Storage -- 4.1 Heat vs. Thermal Energy -- 4.2 Sensible Heat -- 4.3 Latent Heat -- 4.4 Reaction Heat -- 4.5 Eutectic and Noneutectic Heat -- Problems -- Solutions -- 5 Thermomechanical Energy Storage -- 5.1 Thermodynamics: Heat, Work, and States -- 5.2 Compressed Air Energy Storage -- 5.2.1 Cryogenic Energy Storage -- 5.2.2 Other Compressed Gases -- 5.3 Solar Power Towers -- Problems -- Solutions -- 6 Electrochemical Energy Storage -- 6.1 Introduction -- 6.2 Nernst Equation and the Electromotoric Force, EMF -- 6.2.1 The Free Energy of a Reaction -- 6.2.2 The Electrochemical Free Energy -- 6.2.3 Half-Cell Reactions -- 6.2.4 Ohm's Law: Power and Potential -- 6.3 Concentration and Nernst Equation -- 6.3.1 Activity of Components and Species -- 6.3.2 EMF and Concentration -- 6.3.3 Concentration Polarization Overpotentials -- 6.3.4 Liquid Junction Potential -- 6.3.4.1 Multiple Liquid Junctions and the Repeating Cell Unit -- 6.4 Electrode Reaction Kinetics. 6.4.1 The Equilibrium Reaction Rate and Constant -- 6.4.2 Butler-Volmer Overpotentials -- 6.4.3 The Tafel Overpotential: An Approximation -- 6.4.4 Overpotentials for Competing Electrode Reactions -- Problems -- Solutions -- 7 Secondary Batteries -- 7.1 Battery Terminology -- 7.2 Red-ox Cells and Oxidation Number -- 7.3 Charging and Discharge Power and Ef ciency -- 7.4 Battery Capacity -- 7.5 Battery Footprint -- 7.5.1 Accumulated Weight -- 7.5.2 Environmental Footprint -- 7.6 Battery Chemistry -- 7.6.1 Lead Acid Battery -- 7.6.2 NiCd Batteries -- 7.6.3 NiMeH Batteries -- 7.6.4 ZEBRA Batteries -- 7.7 Li-ion Batteries -- 7.8 Flow Cell Batteries -- 7.8.1 RedOx Flow Batteries -- 7.8.2 Concentration Flow Batteries -- Problems -- Solutions -- 8 Hydrogen for Energy Storage -- 8.1 Hydrogen Production. Water Electrolysis -- 8.1.1 Water Electrolysis Thermodynamics -- 8.1.1.1 The Energies -- 8.1.1.2 Half Cell Potentials and pH -- 8.1.2 Electrolysis Technologies -- 8.1.2.1 Alkaline Water Electrolysis -- 8.1.2.2 PEM Water Electrolysis -- 8.1.2.3 Solid Oxide Electrolysis Cells -- 8.1.2.4 Other Types of Electrolysis -- 8.1.3 Hydrogen from Coal and Natural Gas -- 8.2 Hydrogen Storage and Distribution -- 8.2.1 Thermodynamic Properties of Hydrogen -- 8.2.1.1 Compressibility -- 8.2.1.2 Phase Properties -- 8.2.1.3 Para- and Ortho-Hydrogen -- 8.2.2 Hydrogen Storage Technologies -- 8.2.2.1 Power to Gas -- 8.2.2.2 Compressed Hydrogen -- 8.2.2.3 Cryogenic Hydrogen -- 8.2.2.4 Metal Hydride -- 8.2.2.5 Metal Organic Framework -- 8.2.2.6 Cavern and Grid Storage -- 8.2.2.7 Carbon as a Hydrogen Carrier -- 8.3 Reuse of Hydrogen: Fuel Cells -- 8.3.1 Fuel Cell Thermodynamics -- 8.3.2 Fuel cell technologies -- 8.3.2.1 Proton Exchange Membrane Fuel Cell, PEMFC -- 8.3.2.2 Direct Methanol Fuel Cell, DMFC -- 8.3.2.3 Solid Oxide Fuel Cell, SOFC -- 8.3.2.4 Alkaline Fuel Cells, AFC. 8.3.2.5 Other Fuel Cell Technologies -- 8.3.2.6 Fuel Cell Technology Overview -- Problems -- Solutions -- 9 Supercapacitors for Energy Storage and Conversion -- 9.1 Conventional Capacitors -- 9.2 Supercapacitors -- 9.3 Deploying Supercapacitors -- 9.4 Pseudo- and Hybrid Supercapacitors -- Problems -- Solutions -- A Symbols and Constants -- Roman Letters -- Greek Letters -- Constants -- B Adiabatic Compression of Air -- C Para- and Ortho-Hydrogen -- Bibliography -- Index -- Back Cover. EBL201712 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4926961 ebook n 201749 201712 21 PUBLIC https://catalogue.library.cern/legacy/2295861 BOOK MIGRATED 2295838 SzGeCERN 20210421205946.0 9781118895818 electronic version electronic version 9781118895818 print version 9781118895825 electronic version electronic version oai:cds.cern.ch:2295838 cerncds:BOOK EBL 4595447 eng TA590 -- .C377 2016eb 526.9 Carrivick, Jonathan Structure from motion in the geosciences Hoboken, NJ John Wiley & Sons 2012 244 p ebook Analytical methods in earth and environmental science Title Page -- Table of Contents -- Abbreviations -- About the Companion Website -- 1 Introduction to Structure from Motion in the Geosciences -- 1.1 The Geosciences and Related Disciplines -- 1.2 Aim and Scope of this Book -- 1.3 The Time and the Place -- 1.4 What Is Structure from Motion? -- 1.5 Structure of this Book -- References -- 2 The Place of Structure from Motion -- 2.1 Introduction -- 2.2 Direct Topographic Surveying -- 2.3 Remote Digital Surveying -- 2.4 Summary -- References -- Further Reading/Resources -- 3 Background to Structure from Motion -- 3.1 Introduction -- 3.2 Feature Detection -- 3.3 Keypoint Correspondence -- 3.4 Identifying Geometrically Consistent Matches -- 3.5 Structure from Motion -- 3.6 Scale and Georeferencing -- 3.7 Refinement of Parameter Values -- 3.8 Clustering for MVS -- 3.9 MVS Image Matching Algorithms -- 3.10 Summary -- References -- Further Reading/Resources -- 4 Structure from Motion in Practice -- 4.1 Introduction -- 4.2 Platforms -- 4.3 Sensors -- 4.4 Acquiring Images and Control Data -- 4.5 Software -- 4.6 Point Cloud Viewers -- 4.7 Filtering -- 4.8 Generating Digital Elevation Models from Point Clouds -- 4.9 Key Issues -- 4.10 Summary -- References -- Associated Reference -- Further Reading/Resources -- 5 Quality Assessment -- 5.1 Introduction -- 5.2 Validation Data Sets -- 5.3 Validation Methods -- 5.4 Survey Platform -- 5.5 Survey Range and Scale -- 5.6 Error Metrics -- 5.7 Distribution of Ground Control Points -- 5.8 Terrain -- 5.9 Software -- 5.10 Camera -- 5.11 Summary -- References -- Further Reading/Resources -- 6 Current Applications of Structure from Motion in the Geosciences -- 6.1 Introduction -- 6.2 Use of SfM-MVS-Derived Orthophotograph Mosaics -- 6.3 Use of SfM-MVS for 3D Point Clouds -- 6.4 Use of SfM-MVS for Gridded Topography -- 6.5 Combined Orthophotograph andPoint Cloud Analysis. 6.6 Crossing Temporal Scales: Examples of Change Detection to Suggest Process Dynamics -- 6.7 Practitioner-Based SfM-MVS -- 6.8 Summary -- References -- Further Reading/Resources -- 7 Developing Structure from Motion in the Geosciences -- 7.1 Introduction -- 7.2 Developments in Hardware -- 7.3 Progressive Automation of Acquisition -- 7.4 Efficient Management and Manipulation of Photographs -- 7.5 Point Cloud Generation and Decimation -- 7.6 Real-Time SfM-MVS and Instant Maps: Simultaneous Localisation and Mapping -- 7.7 Augmented Reality -- 7.8 Detection of Object or Surface Motion: Non-Rigid SfM -- 7.9 Summary -- References -- Further Reading/Resources -- 8 Concluding Recommendations -- 8.1 Key Recommendation 1: Get "Under the Bonnet" of SfM-MVS to Become More Critical End Users -- 8.2 Key Recommendation 2: Get Co-ordinated to Understand the Sources and Magnitudes of Error -- 8.3 Key Recommendation 3: Focus on the Research Question -- 8.4 Key Recommendation 4: Focus Your Efforts on Data Processing -- 8.5 Key Recommendation 5: Learn from Other Disciplines -- 8.6 Key Recommendation 6: Harness the Democratising Power of SfM-MVS -- Index -- End User License Agreement. EBL201712 Astrophysics and Astronomy SzGeCERN BOOK Smith, Mark Quincey, Duncan https://cds.cern.ch/auth.py?r=EBLIB_P_4595447 ebook n 201749 201712 21 PUBLIC https://catalogue.library.cern/legacy/2295838 BOOK MIGRATED 2295811 SzGeCERN 20210421205950.0 9781119308676 electronic version electronic version 9781119308713 electronic version electronic version 9781119308713 print version oai:cds.cern.ch:2295811 cerncds:BOOK EBL 4571549 eng R857.M3 |b -- .M44 2016eb 610.28 Glocker, David Medical coatings and deposition technologies Hoboken, NJ John Wiley & Sons 2016 795 p ebook Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Part 1 Introduction -- 1 Historical Perspectives on Biomedical Coatings in Medical Devices -- 1.1 Introduction -- 1.2 Improving Physical Properties of Biomaterials: Hydrophilic, Lubricious Coatings -- 1.3 Modulating Host-Biomaterial Interactions: Biologically Active Coatings -- 1.3.1 Heparin Coatings -- 1.3.2 Antimicrobial Coatings -- 1.3.2.1 Antimicrobial-Releasing Materials -- 1.3.2.2 Nonadhesive Surfaces -- 1.3.2.3 Promoting Tissue Integration -- 1.3.3 Drug-Eluting Coatings -- 1.4 Bioinert Coatings Redressed? Nonfouling Coatings -- 1.5 Future Biomedical Coatings -- References -- Part 2 Coating Applications -- 2 Antimicrobial Coatings and Other Surface Modifications for Infection Prevention -- 2.1 Introduction -- 2.2 Genesis of Device-Related Infections -- 2.3 Antimicrobial Coatings -- 2.3.1 Antibiotics -- 2.3.2 Non-Antibiotic Antimicrobial Compounds -- 2.3.2.1 Organic Compounds -- 2.3.2.2 Silver and Other Metals -- 2.4 Non-Eluting Antimicrobial Surfaces -- 2.4.1 Pendant Chemistries -- 2.4.1.1 Zwitterionic Surfaces -- 2.4.1.2 Topographical Modifications -- 2.5 Coating and Surface Modification Technologies -- 2.5.1 Passive-Release Technologies -- 2.5.1.1 Diffusion-Based Antimicrobial Coatings -- 2.5.1.2 Solvent Imbibing of Antimicrobials -- 2.5.2 Sputter Coating Systems -- 2.5.3 Covalent Surface Modification -- 2.5.4 Other Technologies -- 2.6 Regulatory Considerations -- 2.7 Future Challenges -- 2.7.1 Antimicrobial Resistance -- 2.7.2 Biocompatibility -- References -- 3 Drug Delivery Coatings for Coronary Stents -- 3.1 Introduction -- 3.1.1 Coronary Artery Disease: Treatment Options and Issues -- 3.1.2 Bare-Metal Stents -- 3.1.3 Drug-Eluting Stents -- 3.2 Polymer Coatings for DES -- 3.2.1 Requirements for Coronary Stent Coatings -- 3.2.2 Physical and Chemical Properties. 3.2.2.1 Stability -- 3.2.2.2 Sterilization -- 3.2.2.3 Compatibility with the Drug and Drug Elution -- 3.2.3 Biological Properties -- 3.2.3.1 Biocompatibility with Vascular Tissue -- 3.2.4 Coating Optimization -- 3.3 Biostable (Non-Bioabsorbable) Polymers -- 3.3.1 Poly(Ethylene-Co-Vinyl Acetate)/ Poly(n-Butylmethacrylate)/Parylene C -- 3.3.2 Poly(Styrene-block-Isobutylene-block-Styrene) (SIBS) -- 3.3.3 Poly(Vinylidene Fluoride-co-Hexafluoropropylene)/ Poly(n-Butyl Methacrylate) -- 3.3.4 Phosphorylcholine-Based Polymer Coating System (PC) -- 3.3.5 BIOLINX® Polymer Coating -- 3.4 Bioabsorbable Polymers -- 3.5 Concluding Remarks -- References -- 4 Coatings for Radiopacity -- 4.1 Principles of Radiography -- 4.2 Use of Radiopaque Materials in Medical Devices -- 4.3 Radiopaque Fillers -- 4.3.1 Purpose of Radiopaque Fillers in Polymers -- 4.4 Types of Radiopaque Fillers -- 4.4.1 Barium Compounds -- 4.4.2 Bismuth Compounds -- 4.4.3 Metals -- 4.4.4 Material Modifications to Enhance Radiopacity -- 4.5 Other Radiographic Materials and Coating Systems -- 4.5.1 Metal-Loaded Polymer Suspensions -- 4.6 Radiopaque Coatings by Physical Vapor Deposition -- 4.7 Challenges in Producing Radiopaque Coatings Using PVD -- 4.8 Gold Radiopaque Coatings -- 4.9 Tantalum Radiopaque Coatings -- 4.10 Summary -- References -- 5 Biocompatibility and Medical Device Coatings -- 5.1 Introduction -- 5.2 Challenges with Medical Devices -- 5.2.1 Toxicity -- 5.2.2 Inflammation -- 5.2.3 Blood Compatibility -- 5.2.4 Wound Healing -- 5.2.5 Encapsulation -- 5.2.6 Tissue Integration -- 5.2.7 Vascularization -- 5.2.8 Infection -- 5.3 Examples of Products Coated to Improve Biocompatibility -- 5.3.1 Stents -- 5.3.2 Surgical Mesh Materials -- 5.3.3 Orthopedic Implants -- 5.3.4 Sensors -- 5.3.5 Pacemaker Leads -- 5.3.6 Neurological Devices -- 5.3.7 Catheters/Endotracheal Tubes -- 5.3.8 Ocular. 5.4 Types of Biocompatible Coatings -- 5.4.1 Polymers and Surface Modification -- 5.4.2 Surface Preparation and Polymer Deposition -- 5.4.3 Covalent Bonding -- 5.4.4 Biocompatible Biomaterials -- 5.4.5 Hydrophilic and Nonfouling Polymers -- 5.4.6 Small Molecule Pharmaceuticals -- 5.4.7 Extracellular Matrix Proteins and Peptides -- 5.4.8 Heparin and Polysaccharides -- 5.4.9 Antibody and Other Biomolecule Coatings -- 5.4.10 Orthopedics/Calcium Phosphate/BMP -- 5.4.11 Porosity -- 5.4.12 Surface Roughness -- 5.5 Commercialization -- 5.5.1 Cost Challenges -- 5.5.2 Manufacturing Challenges -- 5.5.3 Animal-Derived Materials -- 5.6 Summary -- References -- 6 Tribological Coatings for Biomedical Devices -- 6.1 Introduction -- 6.2 Hard Thin Film Coatings for Implants -- 6.2.1 Titanium- and Chromium-Based Thin Film Materials -- 6.3 Binary Carbon-Based Thin Film Materials: Diamond, Hard Carbon and Amorphous Carbon -- 6.3.1 Tribological Properties -- 6.4 Progress of DLC, ta-C and a-C:H Films for Hip and Knee Implants -- 6.4.1 Diamond-like Carbon -- 6.4.2 Biocompatibility and Thrombus Formation -- 6.4.3 Aluminum Oxide Thin Films -- 6.5 Wear-Resistant Coatings for Stents and Catheters -- 6.6 Wear-Resistant Coatings for Angioplasty Devices -- 6.7 Scalpel Blades and Surgical Instruments -- 6.8 Multifunctional, Nanostructured, Nanolaminate, and Nanocomposite Tribological Materials -- References -- Part 3 Coating and Surface Modification Methods -- 7 Dip Coating -- 7.1 Description and Basic Steps -- 7.2 Equipment and Coating Application -- 7.2.1 Hand Dipping -- 7.2.2 Mechanical Dipping -- 7.3 Coating Solution Containers -- 7.4 Coating Parameters and Controls -- 7.5 Role of Solution Viscosity -- 7.5.1 Viscosity and Withdrawal Velocity -- 7.5.2 Molecular Weight of Polymers -- 7.5.3 Viscosity as a Function of Solids Content -- 7.6 Coating Problems -- 7.6.1 Partial Coating. 7.6.2 Vibration -- 7.6.3 Humidity -- 7.6.4 Run Back -- 7.6.5 Orange Peel -- 7.6.6 Chatter -- 7.6.7 Craters -- 7.6.8 Bubbles -- 7.6.9 Poor Adhesion -- 7.7 Process Considerations -- 8 Inkjet Technology and Its Application in Biomedical Coating -- 8.1 Introduction -- 8.2 Inkjet Background -- 8.2.1 Continuous Inkjet (CIJ) -- 8.2.2 Drop-on-Demand (DOD) -- 8.2.2.1 General Discussion -- 8.2.2.2 Less Common Actuation Methods -- 8.2.2.3 Thermal Inkjet -- 8.2.2.4 Piezoelectric Inkjet -- 8.2.3 Comparison of CIJ and DOD -- 8.2.4 Drop Formation -- 8.3 Equipment Used -- 8.3.1 Dispenser/Printhead -- 8.3.2 Motion -- 8.3.3 Auxiliary Equipment -- 8.3.3.1 Drive Electronics -- 8.3.3.2 Pressure Control -- 8.3.3.3 Temperature Control -- 8.3.3.4 Environmental Control -- 8.3.3.5 Optics -- 8.3.3.6 Maintenance -- 8.3.3.7 Other Auxiliary Components -- 8.3.4 Software -- 8.3.5 Printing Platform Manufacturers -- 8.4 Capabilities -- 8.4.1 Surface Activation and Passivation -- 8.4.1.1 Microarrays -- 8.4.1.2 Tissue MALDI - Application of Matrix Solutions -- 8.4.1.3 Nerve Conduits - Fabrication and Coating to Create a Nerve Growth Factor (NGF) Gradient -- 8.4.1.4 Coating for Activation -- 8.4.2 Drug Release/Delivery -- 8.5 Limitations and Ways around Them -- 8.5.1 Requirements of Dispensed Materials -- 8.5.1.1 Viscosity -- 8.5.1.2 Surface Tension -- 8.5.1.3 Volatility/Boiling Point -- 8.5.2 Operational Limitations -- 8.5.3 Liquid - Substrate Interaction -- 8.5.3.1 Single or Multiple Drops Placed at one Location -- 8.5.3.2 Feature Generation (Lines or Area Coverage) by Drop Distribution -- 8.5.4 Failure Modes -- 8.5.4.1 Clogging -- 8.5.4.2 Drop Placement Errors -- 8.5.5 Minimizing Operational Limits and Failure -- 8.5.5.1 Printhead -- 8.5.5.2 Solution Formulation -- 8.5.5.3 Substrate Treatment and Containment Features -- 8.5.5.4 Maintenance. 8.5.5.5 Other Elements of the Printing Process -- 8.6 Manufacturing Advantages and Future Directions -- 8.6.1 Advantages -- 8.6.2 Potential Applications -- 8.6.2.1 Tissue Engineering -- 8.6.2.2 Scaffolds -- 8.6.2.3 Skin Regeneration -- 8.6.2.4 Transdermal Drug Delivery -- 8.6.2.5 Visual Prosthesis -- 8.6.2.6 Packaging - Adhesives -- 8.7 Conclusions -- References -- 9 Direct Capillary Printing in Medical Device Manufacture -- 9.1 Introduction -- 9.1.1 Origins and Brief History -- 9.1.2 Competitive Technologies -- 9.1.2.1 Direct Writing -- 9.1.2.2 Competitors Outside of Direct Writing -- 9.1.2.3 Example of the Evolution of Manufacturing Techniques over Time -- 9.1.3 Strategic Considerations for Medical Device Manufacture -- 9.1.4 Summary -- 9.2 Fundamental Elements of Direct Capillary Printing -- 9.2.1 Ink Systems -- 9.2.1.1 Single-Phase Inks -- 9.2.1.2 Multi-Phase Inks -- 9.2.1.3 Curing Temperature -- 9.2.2 Applying Force to the Ink -- 9.2.3 The Fluidic Channel -- 9.2.4 The Pen Tip -- 9.2.5 The Motion Control System -- 9.2.6 The Ink-Substrate-Printhead System -- 9.2.7 Special Considerations for Medical Devices -- 9.2.7.1 Adhesion and Cohesion Testing -- 9.2.7.2 Biocompatibility -- 9.2.7.3 Electrochemical Stability -- 9.2.7.4 Conflict Minerals -- 9.3 Practical Operational Considerations -- 9.3.1 Starting, Stopping, and Idling -- 9.3.2 Substrate Effects -- 9.3.3 Ink Effects -- 9.3.4 Motion Effects -- 9.3.5 Lateral Misalignment, Eccentricity, and Substrate Shape Errors -- 9.3.6 Pattern and Tool Path Effects -- 9.3.7 Multi-Level Pattern Effects -- 9.3.8 Process Integration -- 9.4 Manufacturing Considerations -- 9.4.1 Low Volume Manufacturing -- 9.4.2 High Volume Manufacturing -- 9.5 Medical Device Examples -- 9.5.1 Tube and Catheter Devices -- 9.5.1.1 Instrumented Endotracheal Tube for Cardiac Output Monitoring. 9.5.1.2 LED-Instrumented Medical Devices for Photodynamic Therapy. EBL201712 Health Physics and Radiation Effects SzGeCERN BOOK Ranade, Shrirang https://cds.cern.ch/auth.py?r=EBLIB_P_4571549 ebook n 201749 201712 21 PUBLIC https://catalogue.library.cern/legacy/2295811 BOOK MIGRATED 2295809 SzGeCERN 20210421205951.0 9780113314546 electronic version electronic version 9780113314546 print version 9780113314560 electronic version electronic version oai:cds.cern.ch:2295809 cerncds:BOOK EBL 4568798 eng HD30.2 -- .I876 2014eb 004.068 , itSMF UK Planning, protection and optimization ITIL intermediate capability handbook 1st ed. London The Stationery Office 2013 194 p ebook ITIL capability handbook suite Planning, Protection and Optimization - ITIL® Intermediate Capability Handbook -- Contents -- Acknowledgements -- About this guide -- 1 Introduction to service management -- 1.1 BEST PRACTICE (ST 2.1.7) -- 1.2 THE ITIL FRAMEWORK (SD 1.2, 1.4) -- Figure 1.1 The service lifecycle -- 1.3 SERVICE MANAGEMENT (SS 2.1) -- 1.4 PROCESSES AND FUNCTIONS (ST 2.2.2, 2.2.3) -- Figure 1.2 Process model -- 1.5 ROLES -- 1.5.1 Process owner (SD 6.3.2) -- 1.5.2 Process manager (SD 6.3.3) -- 1.5.3 Process practitioner (SD 6.3.4) -- 1.5.4 Service owner (SD 6.3.1) -- 1.5.5 The RACI model (SD 6.4) -- 1.6 PLANNING, PROTECTION AND OPTIMIZATION WITHIN THE CONTEXT OF THE SERVICE LIFECYCLE -- 1.6.1 Service design value to the business (SD 3.1.4) -- 1.6.2 Planning, protection and optimization supporting the service lifecycle (SS 2.4, SD 2.4) -- 2 Capacity management -- 2.1 PURPOSE AND OBJECTIVES (SD 4.5.1) -- 2.2 SCOPE (SD 4.5.2) -- 2.3 VALUE TO THE BUSINESS (SD 4.5.3) -- 2.4 POLICIES, PRINCIPLES AND BASIC CONCEPTS (SD 4.5.4) -- Figure 2.1 The capacity management process -- 2.5 PROCESS ACTIVITIES, METHODS AND TECHNIQUES (SD 4.5.5) -- 2.5.1 Business capacity management -- 2.5.2 Service capacity management -- 2.5.3 Component capacity management -- 2.5.4 Capacity management - underpinning activities -- Figure 2.2 Ongoing iterative activities of capacity management -- 2.5.5 Threshold management and control -- 2.5.6 Demand management -- 2.5.7 Modelling and trending -- 2.5.8 Application sizing -- 2.6 TRIGGERS, INPUTS, OUTPUTS AND INTERFACES (SD 4.5.6) -- 2.7 INFORMATION MANAGEMENT (SD 4.5.7) -- 2.8 CRITICAL SUCCESS FACTORS AND KEY PERFORMANCE INDICATORS (SD 4.5.8) -- 2.9 CHALLENGES AND RISKS (SD 4.5.9, SS 9.1, 9.2) -- 2.10 ROLES AND RESPONSIBILITIES (SD 6.3.9) -- 2.10.1 Capacity management process owner -- 2.10.2 Capacity management process manager -- 3 Availability management. 3.1 PURPOSE AND OBJECTIVES (SD 4.4.1) -- 3.2 SCOPE (SD 4.4.2) -- 3.3 VALUE TO THE BUSINESS (SD 4.4.3) -- 3.4 POLICIES, PRINCIPLES AND BASIC CONCEPTS (SD 4.4.4) -- 3.5 PROCESS ACTIVITIES, METHODS AND TECHNIQUES (SD 4.4.5) -- Figure 3.1 The availability management process -- 3.5.1 Reactive activities of availability management -- Figure 3.2 The expanded incident lifecycle -- 3.5.2 Proactive activities of availability management -- 3.6 TRIGGERS, INPUTS, OUTPUTS AND INTERFACES (SD 4.4.6) -- 3.7 INFORMATION MANAGEMENT (SD 4.4.7) -- 3.8 CRITICAL SUCCESS FACTORS AND KEY PERFORMANCE INDICATORS (SD 4.4.8) -- 3.9 CHALLENGES AND RISKS (SD 4.4.9) -- 3.10 ROLES AND RESPONSIBILITIES (SD 6.3.8) -- 3.10.1 Availability management process owner -- 3.10.2 Availability management process manager -- 4 IT service continuity management -- 4.1 PURPOSE AND OBJECTIVES (SD 4.6.1) -- 4.2 SCOPE (SD 4.6.2) -- 4.3 VALUE TO THE BUSINESS (SD 4.6.3) -- 4.4 POLICIES, PRINCIPLES AND BASIC CONCEPTS (SD 4.6.4) -- Figure 4.1 Lifecycle of IT service continuity management -- 4.5 PROCESS ACTIVITIES, METHODS AND TECHNIQUES (SD 4.6.5) -- 4.5.1 Stage 1 - Initiation -- 4.5.2 Stage 2 - Requirements and strategy -- Figure 4.2 Graphical representation of business impacts -- 4.5.3 Stage 3 - Implementation -- 4.5.4 Stage 4 - Ongoing operation -- 4.6 TRIGGERS, INPUTS, OUTPUTS AND INTERFACES (SD 4.6.6) -- 4.7 INFORMATION MANAGEMENT (SD 4.6.7) -- 4.8 CRITICAL SUCCESS FACTORS AND KEY PERFORMANCE INDICATORS (SD 4.6.8) -- 4.9 CHALLENGES AND RISKS (SD 4.6.9) -- 4.10 ROLES AND RESPONSIBILITIES (SD 6.3.10) -- 4.10.1 IT service continuity management process owner -- 4.10.2 IT service continuity management process manager -- 5 Information security management -- 5.1 PURPOSE AND OBJECTIVES (SD 4.7.1) -- 5.2 SCOPE (SD 4.7.2) -- 5.3 VALUE TO THE BUSINESS (SD 4.7.3). 5.4 POLICIES, PRINCIPLES AND BASIC CONCEPTS (SD 4.7.4) -- 5.4.1 Principles -- 5.4.2 Information security policy -- 5.4.3 Security framework -- 5.4.4 The information security management system -- Figure 5.1 Framework for managing IT security -- 5.4.5 Information security governance -- 5.5 PROCESS ACTIVITIES, METHODS AND TECHNIQUES (SD 4.7.5) -- Figure 5.2 IT security management process -- 5.5.1 Security strategy -- 5.5.2 Security controls -- 5.5.3 Management of security breaches and incidents -- 5.6 TRIGGERS, INPUTS, OUTPUTS AND INTERFACES (SD 4.7.6) -- 5.7 INFORMATION MANAGEMENT (SD 4.7.7) -- 5.8 CRITICAL SUCCESS FACTORS AND KEY PERFORMANCE INDICATORS (SD 4.7.8) -- 5.9 CHALLENGES AND RISKS (SD 4.7.9) -- 5.10 ROLES AND RESPONSIBILITIES (SD 6.3.11) -- 5.10.1 Information security management process owner -- 5.10.2 Information security management process manager -- 6 Demand management -- 6.1 PURPOSE AND OBJECTIVES (SS 4.4.1) -- 6.2 SCOPE (SS 4.4.2)The scope of the demand management -- 6.3 VALUE TO THE BUSINESS (SS 4.4.3) -- 6.4 POLICIES, PRINCIPLES AND BASIC CONCEPTS (SS 4.4.4) -- 6.4.1 Supply and demand -- 6.4.2 Gearing service assets -- 6.4.3 Demand management through the lifecycle -- 6.5 PROCESS ACTIVITIES, METHODS AND TECHNIQUES (SS 4.4.5) -- 6.5.1 Identify sources of demand forecasting -- 6.5.2 Patterns of business activity and user profiles -- Table 6.1 Codifying patterns of business activity (example) -- Table 6.2 User profiles matched with patterns of business activity (example) -- 6.5.3 Activity-based demand management -- Figure 6.1 Business activity influences patterns of demand for services -- 6.5.4 Develop differentiated offerings -- 6.5.5 Management of operational demand -- 6.6 TRIGGERS, INPUTS, OUTPUTS AND INTERFACES (SS 4.4.6) -- 6.7 INFORMATION MANAGEMENT (SS 4.4.7) -- 6.8 CRITICAL SUCCESS FACTORS AND KEY PERFORMANCE INDICATORS (SS 4.4.8). 6.9 CHALLENGES AND RISKS (SS 4.4.9) -- 6.10 ROLES AND RESPONSIBILITIES (SS 6.8.10) -- 6.10.1 Demand management process owner -- 6.10.2 Demand management process manager -- 7 Technology and implementation -- 7.1 GENERIC REQUIREMENTS FOR IT SERVICE MANAGEMENT TECHNOLOGY (SD 7.1) -- 7.2 EVALUATION CRITERIA FOR TECHNOLOGY AND TOOLS (SD 7.2) -- 7.3 PRACTICES FOR PROCESS IMPLEMENTATION -- 7.3.1 Business impact analysis (SD 8.1) -- 7.3.2 Service level requirements (SD 8.2) -- 7.3.3 Risks to the services and processes (SD 8.3) -- 7.3.4 Implementing service design (SD 8.4) -- Figure 7.1 The continual service improvement model -- 7.4 CHALLENGES, CRITICAL SUCCESS FACTORSAND RISKS -- 7.4.1 Challenges -- 7.4.2 Critical success factors -- 7.4.3 Risks -- 7.5 PLANNING AND IMPLEMENTING SERVICE MANAGEMENT TECHNOLOGIES (SO 8.5) -- 7.6 DESIGNING TECHNOLOGY ARCHITECTURES AND MANAGEMENT ARCHITECTURES (SD 3.7.3) -- Figure 7.2 Architectural relationships -- 8 Qualifications -- 8.1 OVERVIEW -- 8.2 FOUNDATION LEVEL -- 8.3 INTERMEDIATE LEVEL -- 8.3.1 Lifecycle stream -- 8.3.2 Capability stream -- 8.4 ITIL EXPERT -- 8.5 ITIL MASTER -- 9 Related guidance -- 9.1 ITIL GUIDANCE AND WEB SERVICES -- 9.2 QUALITY MANAGEMENT SYSTEM -- 9.3 RISK MANAGEMENT -- 9.4 GOVERNANCE OF IT -- 9.5 COBIT -- 9.6 ISO/IEC 20000 SERVICE MANAGEMENT SERIES -- 9.7 ENVIRONMENTAL MANAGEMENT AND GREEN AND SUSTAINABLE IT -- 9.8 ISO STANDARDS AND PUBLICATIONS FOR IT -- 9.9 ITIL AND THE OSI FRAMEWORK -- 9.10 PROGRAMME AND PROJECT MANAGEMENT -- 9.11 ORGANIZATIONAL CHANGE -- 9.12 SKILLS FRAMEWORK FOR THE INFORMATION AGE -- 9.13 CARNEGIE MELLON: CMMI AND ESCM FRAMEWORKS -- 9.14 BALANCED SCORECARD -- 9.15 SIX SIGMA -- Further guidance and contact points -- Glossary. Updated in line with the Planning, Protection and Optimization (PPO) syllabus this quick reference guide will help you study for the PPO module of the ITIL intermediate capability qualification. EBL201712 SzGeCERN Computing and Computers BOOK 2nd ed. 2014 2745366 edition https://cds.cern.ch/auth.py?r=EBLIB_P_4568798 ebook 201712 n 201749 21 PUBLIC https://catalogue.library.cern/legacy/2295809 BOOK MIGRATED 2295807 SzGeCERN 20210421205951.0 9780113314492 electronic version electronic version 9780113314492 print version 9780113314515 electronic version electronic version oai:cds.cern.ch:2295807 cerncds:BOOK EBL 4568796 eng HD30.2 -- .I876 2014eb 004.068 , itSMF UK Service offerings and agreements ITIL intermediate capability handbook 1st ed. London The Stationery Office 2012 196 p ebook ITIL capability handbook suite Service Offerings and Agreements - ITIL® Intermediate Capability Handbook -- Contents -- Acknowledgements -- About this guide -- 1 Introduction to service management -- 1.1 BEST PRACTICE (SS 2.1.7) -- 1.2 THE ITIL FRAMEWORK (SS 1.2, 1.4) -- Figure 1.1 The service lifecycle -- 1.3 SERVICE MANAGEMENT (SS 2.1) -- 1.4 PROCESSES AND FUNCTIONS (SS 2.2.2, 2.2.3) -- Figure 1.2 Process model -- 1.5 ROLES -- 1.5.1 Process owner (SS 6.8.2) -- 1.5.2 Process manager (SS 6.8.3) -- 1.5.3 Process practitioner (SS 6.8.4) -- 1.5.4 Service owner (SS 6.8.1) -- 1.5.5 The RACI model (SS 6.9) -- 1.6 SERVICE OFFERINGS AND AGREEMENTS WITHIN THE CONTEXT OF THE SERVICE LIFECYCLE -- 1.6.1 SOA within the service lifecycle -- 1.6.2 Strategy management for IT services (SS 4.1.1-4.1.3) -- 1.6.3 Design coordination (SD 4.1.1-4.1.3) -- 1.6.4 Identification of customer requirements (SD 3.1.3, 3.4, 3.5) -- 1.6.5 Customer perception of value, utility and warranty (SS 3.2.3-3.2.4) -- 2 Service portfolio management -- 2.1 PURPOSE AND OBJECTIVES (SS 4.2.1) -- 2.2 SCOPE (SS 4.2.2) -- 2.3 VALUE TO THE BUSINESS (SS 4.2.3) -- 2.4 POLICIES, PRINCIPLES AND BASIC CONCEPTS (SS 4.2.4) -- 2.4.1 Service portfolio -- Figure 2.1 The service portfolio and its contents -- 2.4.2 Service pipeline -- 2.4.3 Service catalogue -- 2.4.4 Retired services -- 2.4.5 Other areas -- 2.5 PROCESS ACTIVITIES, METHODS AND TECHNIQUES (SS 4.2.5) -- 2.5.1 Process initiation -- 2.5.2 Define -- 2.5.3 Analyse -- Figure 2.2 The option space tool for IT service management -- 2.5.4 Approve -- 2.5.5 Charter -- 2.6 TRIGGERS, INPUTS, OUTPUTS AND INTERFACES (SS 4.2.6) -- 2.7 INFORMATION MANAGEMENT (SS 4.2.7) -- 2.8 CRITICAL SUCCESS FACTORS AND KEY PERFORMANCE INDICATORS (SS 4.2.8) -- 2.9 CHALLENGES AND RISKS (SS 4.2.9) -- 2.10 ROLES AND RESPONSIBILITIES (SS 6.8.7) -- 2.10.1 Service portfolio management process owner. 2.10.2 Service portfolio management process manager -- 3 Service catalogue management -- 3.1 PURPOSE AND OBJECTIVES (SD 4.2.1) -- 3.2 SCOPE (SD 4.2.2) -- 3.3 VALUE TO THE BUSINESS (SD 4.2.3) -- 3.4 POLICIES, PRINCIPLES AND BASIC CONCEPTS (SD 4.2.4, SS 4.2.4.3, SD APPENDIX G) -- Figure 3.1 Example elements of a service portfolio and service catalogue -- 3.5 PROCESS ACTIVITIES, METHODS AND TECHNIQUES (SD 4.2.5) -- 3.6 TRIGGERS, INPUTS, OUTPUTS AND INTERFACES (SD 4.2.6) -- 3.7 INFORMATION MANAGEMENT (SD 4.2.7) -- 3.8 CRITICAL SUCCESS FACTORS AND KEY PERFORMANCE INDICATORS (SD 4.2.8) -- 3.9 CHALLENGES AND RISKS (SD 4.2.9) -- 3.10 ROLES AND RESPONSIBILITIES (SD 6.3.6) -- 3.10.1 Service catalogue management process owner -- 3.10.2 Service catalogue management process manager -- 4 Service level management -- 4.1 PURPOSE AND OBJECTIVES (SD 4.3.1) -- 4.2 SCOPE (SD 4.3.2) -- 4.3 VALUE TO THE BUSINESS (SD 4.3.3) -- 4.4 POLICIES, PRINCIPLES AND BASIC CONCEPTS (SD 4.3.4, SD APPENDIX F) -- 4.5 PROCESS ACTIVITIES, METHODS AND TECHNIQUES (SD 4.3.5) -- 4.5.1 Design SLA frameworks -- Figure 4.1 The service level management process -- 4.5.2 Determining, documenting and agreeing requirements for new services and producing SLRs -- 4.5.3 Negotiating, documenting and agreeing SLAs for operational services -- 4.5.4 Monitoring service performance against SLA -- 4.5.5 Producing service reports -- 4.5.6 Conducting service reviews and instigating improvements within an overall SIP -- 4.5.7 Collate, measure and improve customer satisfaction -- 4.5.8 Review and revise SLAs, service scope, OLAs, contracts, and any other underpinning agreements -- 4.5.9 Develop and document contacts and relationships -- 4.5.10 Handling complaints and compliments -- 4.6 TRIGGERS, INPUTS, OUTPUTS AND INTERFACES (SD 4.3.6) -- 4.7 INFORMATION MANAGEMENT (SD 4.3.7). 4.8 CRITICAL SUCCESS FACTORS AND KEY PERFORMANCE INDICATORS (SD 4.3.8) -- 4.9 CHALLENGES AND RISKS (SD 4.3.9) -- 4.10 ROLES AND RESPONSIBILITIES (SD 6.3.7) -- 4.10.1 Service level management process owner -- 4.10.2 Service level management process manager -- 5 Demand management -- 5.1 PURPOSE AND OBJECTIVES (SS 4.4.1) -- 5.2 SCOPE (SS 4.4.2) -- 5.3 VALUE TO THE BUSINESS (SS 4.4.3) -- 5.4 POLICIES, PRINCIPLES AND BASIC CONCEPTS (SS 4.4.4) -- 5.5 PROCESS ACTIVITIES, METHODS AND TECHNIQUES (SS 4.4.5) -- 5.5.1 Identify sources of demand and forecasting -- 5.5.2 Patterns of business activity -- 5.5.3 User profiles -- Table 5.1 User profiles matched with patterns of business activity (example) -- 5.5.4 Activity-based demand management -- 5.5.5 Develop differentiated offerings -- Figure 5.1 Business activity influences patterns of demand for services -- 5.5.6 Management of operational demand -- 5.6 TRIGGERS, INPUTS, OUTPUTS AND INTERFACES (SS 4.4.6) -- 5.7 INFORMATION MANAGEMENT (SS 4.4.7) -- 5.8 CRITICAL SUCCESS FACTORS AND KEY PERFORMANCE INDICATORS (SS 4.4.8) -- 5.9 CHALLENGES AND RISKS (SS 4.4.9) -- 5.10 ROLES AND RESPONSIBILITIES (SS 6.8.10) -- 5.10.1 Demand management process owner -- 5.10.2 Demand management process manager -- 6 Supplier management -- 6.1 PURPOSE AND OBJECTIVES (SD 4.8.1) -- 6.2 SCOPE (SD 4.8.2) -- 6.3 VALUE TO THE BUSINESS (SD 4.8.3) -- 6.4 POLICIES, PRINCIPLES AND BASIC CONCEPTS (SD 4.8.4) -- 6.5 PROCESS ACTIVITIES, METHODS ANDTECHNIQUES (SD 4.8.5) -- 6.6 TRIGGERS, INPUTS, OUTPUTS AND INTERFACES (SD 4.8.6) -- 6.7 INFORMATION MANAGEMENT (SD 4.8.7) -- 6.8 CRITICAL SUCCESS FACTORS AND KEY PERFORMANCE INDICATORS (SD 4.8.8) -- 6.9 CHALLENGES AND RISKS (SD 4.8.9) -- 6.10 ROLES AND RESPONSIBILITIES (SD 6.3.12) -- 6.10.1 Supplier management process owner -- 6.10.2 Supplier management process manager. 7 Financial management for IT services -- 7.1 PURPOSE AND OBJECTIVES (SS 4.3.1) -- 7.2 SCOPE (SS 4.3.2) -- 7.3 VALUE TO THE BUSINESS (SS 4.3.3) -- 7.4 POLICIES, PRINCIPLES AND BASIC CONCEPTS (SS 4.3.4) -- 7.4.1 Enterprise financial management policies -- 7.4.2 Funding -- 7.4.3 Financial management for IT services and value -- 7.4.4 Service economics -- 7.4.5 Compliance -- Table 7.1 Common business objectives -- 7.5 PROCESS ACTIVITIES, METHODS AND TECHNIQUES (SS 4.3.5) -- 7.5.1 Accounting -- Figure 7.1 Major inputs, outputs and activities of financial management for IT services -- 7.5.2 Budgeting -- 7.5.3 Charging -- 7.6 TRIGGERS, INPUTS, OUTPUTS AND INTERFACES (SS 4.3.6) -- 7.7 INFORMATION MANAGEMENT (SS 4.3.7) -- 7.8 CRITICAL SUCCESS FACTORS AND KEY PERFORMANCE INDICATORS (SS 4.3.8) -- 7.9 CHALLENGES AND RISKS (SS 4.3.9) -- 7.10 ROLES AND RESPONSIBILITIES (SS 6.8.9) -- 7.10.1 FMITS process owner -- 7.10.2 FMITS process manager -- 7.10.3 Budget holders -- 8 Business relationship management -- 8.1 PURPOSE AND OBJECTIVES (SS 4.5.1) -- 8.2 SCOPE (SS 4.5.2) -- 8.3 VALUE TO THE BUSINESS (SS 4.5.3) -- 8.4 POLICIES, PRINCIPLES AND BASIC CONCEPTS (SS 4.5.4) -- 8.4.1 Business relationship management and the business relationship manager -- 8.4.2 Customer portfolio -- 8.4.3 Customer agreement portfolio -- 8.4.4 Customer satisfaction -- 8.4.5 Service requirements -- 8.4.6 Facilitator of strategic partnerships -- 8.5 PROCESS ACTIVITIES, METHODS AND TECHNIQUES (SS 4.5.5) -- 8.5.1 Initiation by the customer -- Figure 8.1 Business relationship management activities -- 8.5.2 Initiation by service provider -- 8.5.3 Business relationship management process through the lifecycle -- 8.6 TRIGGERS, INPUTS, OUTPUTS AND INTERFACES (SS 4.5.6) -- 8.7 INFORMATION MANAGEMENT (SS 4.5.7) -- 8.8 CRITICAL SUCCESS FACTORS AND KEY PERFORMANCE INDICATORS (SS 4.5.8). 8.9 CHALLENGES AND RISKS (SS 4.5.9) -- 8.10 ROLES AND RESPONSIBILITIES (SS 6.8.8) -- 8.10.1 Business relationship management process owner -- 8.10.2 Business relationship management process manager: -- 9 Technology and implementation -- 9.1 GENERIC REQUIREMENTS FOR IT SERVICE MANAGEMENT TECHNOLOGY (SD 7.1) -- 9.2 EVALUATION CRITERIA FOR TECHNOLOGY AND TOOLS (SD 7.2) -- 9.3 PRACTICES FOR PROCESS IMPLEMENTATION -- 9.3.1 Service level requirements (SD 8.2) -- 9.3.2 Risks to the services and processes (SD 8.3) -- 9.3.3 Implementing service design (SD 8.4) -- Figure 9.1 The continual service improvement model -- 9.4 CHALLENGES, CRITICAL SUCCESS FACTORS AND RISKS -- 9.4.1 Challenges -- 9.4.2 Critical success factors -- 9.4.3 Risks -- 9.5 PLANNING AND IMPLEMENTING SERVICE MANAGEMENT TECHNOLOGIES (SO 8.5) -- 10 Qualifications -- 10.1 OVERVIEW -- 10.2 FOUNDATION LEVEL -- 10.3 INTERMEDIATE LEVEL -- 10.3.1 Lifecycle stream -- 10.3.2 Capability stream -- 10.4 ITIL EXPERT -- 10.5 ITIL MASTER -- 11 Related guidance -- 11.1 ITIL GUIDANCE AND WEB SERVICES -- 11.2 QUALITY MANAGEMENT SYSTEM -- 11.3 RISK MANAGEMENT -- 11.4 GOVERNANCE OF IT -- 11.5 COBIT -- 11.6 ISO/IEC 20000 SERVICE MANAGEMENT SERIES -- 11.7 ENVIRONMENTAL MANAGEMENT AND GREEN AND SUSTAINABLE IT -- 11.8 ISO STANDARDS AND PUBLICATIONS FOR IT -- 11.9 ITIL AND THE OSI FRAMEWORK -- 11.10 PROGRAMME AND PROJECT MANAGEMENT -- 11.11 ORGANIZATIONAL CHANGE -- 11.12 SKILLS FRAMEWORK FOR THE INFORMATION AGE -- 11.13 CARNEGIE MELLON: CMMI AND ESCM FRAMEWORKS -- 11.14 BALANCED SCORECARD -- 11.15 SIX SIGMA -- Further guidance and contact points -- Glossary. Updated in line with the Service Offering and Agreements (SOA) syllabus, this quick reference guide will help you as you study for the SOA module of the ITIL intermediate capability qualification. EBL201712 SzGeCERN Computing and Computers BOOK 2nd ed. 2014 2745417 edition https://cds.cern.ch/auth.py?r=EBLIB_P_4568796 ebook 201712 n 201749 21 PUBLIC https://catalogue.library.cern/legacy/2295807 BOOK MIGRATED 2295805 SzGeCERN 20210421205952.0 9780113314294 electronic version electronic version 9780113314294 print version 9780113314317 electronic version electronic version oai:cds.cern.ch:2295805 cerncds:BOOK EBL 4568793 eng HD30.2 -- .I876 2013eb 004.068 Cartlidge, Alison itSMF, UK Operational support and analysis itil intermediate capability handbook 1st ed. London The Stationery Office 2012 196 p ebook ITIL capability handbook suite Operational Support and Analysis ITIL® Intermediate Capability Handbook -- Contents -- Acknowledgements -- About this guide -- 1 Introduction to service management -- 1.1 Best practice (SO 2.1.7) -- 1.2 The ITIL frame work (SO 1.2, 1.4) -- Figure 1.1 The service lifecycle -- 1.3 Service management -- 1.4 Processes and functions (SO 2.2.2, 2.2.3) -- Figure 1.2 Process model -- 1.5 Roles -- 1.5.1 Process owner (SO 6.7.2) -- 1.5.2 Process manager (SO 6.7.3) -- 1.5.3 Process practitioner (SO 6.7.4) -- 1.5.4 Service owner (SO 6.7.1) -- 1.5.5 The RACI model (SO 6.8) -- 1.6 Operational support and analysis within the context of the service lifecycle -- 1.6.1 Value to the business of operational support and analysis activities (SO 1.1) -- 1.6.2 OSA within the service lifecycle (SO 1.2.4) -- 1.6.3 Optimizing service operation performance (SO 3.1.2) -- 2 Event management -- 2.1 Purpose and objectives (SO 4.1.1) -- 2.2 Scope (SO 4.1.2) -- 2.3 Value to the business and service lifecycle (SO 4.1.3) -- 2.4 Policies, principles and basic concepts (SO 4.1.4) -- 2.4.1 Types of event -- 2.4.2 Filtering of events -- 2.4.3 Designing for event management (SO 4.1.4.3) -- 2.4.4 Event rule sets and correlation engines (SO 4.1.4.4) -- 2.5 Process activities, methods and techniques (SO 4.1.5) -- 2.5.1 Event occurrence -- 2.5.2 Event notification -- Figure 2.1 The event management process -- 2.5.3 Event detection -- 2.5.4 Event logging -- 2.5.5 First-level correlation and filtering -- 2.5.6 Event significance -- 2.5.7 Second-level event correlation -- 2.5.8 Action and response selection -- 2.5.9 Event review -- 2.5.10 Event closure -- 2.6 Triggers, inputs, outputs and interfaces (SO 4.1.6) -- 2.7 Information management (SO 4.1.7) -- 2.8 Critical success factors and keyperformance indicators (SO 4.1.8) -- 2.9 Challenges and risks (SO 4.1.9). 2.10 Roles and responsibilities (SO 6.7.8) -- 2.10.1 Event management process owner -- 2.10.2 Event management process manager -- 2.10.3 Other event management roles -- 3 Incident management -- 3.1 Purpose and objectives (SO 4.2.1) -- 3.2 Scope (SO 4.2.2) -- 3.3 Value to the business and service lifecycle (SO 4.2.3) -- 3.4 Policies, principles and basic concepts (SO 4.2.4) -- 3.4.1 Timescales -- 3.4.2 Incident models -- 3.4.3 Major incidents -- 3.4.4 Incident status tracking -- 3.4.5 Expanded incident lifecycle -- 3.5 Process activities, methods and techniques (SO 4.2.5) -- Figure 3.1 Incident management process flow -- 3.5.1 Incident identification -- 3.5.2 Incident logging -- 3.5.3 Incident categorization -- Figure 3.2 Multi-level incident categorization -- 3.5.4 Incident prioritization -- Table 3.1 Simple priority coding system -- 3.5.5 Initial diagnosis -- 3.5.6 Incident escalation -- 3.5.7 Investigation and diagnosis -- 3.5.8 Resolution and recovery -- 3.5.9 Incident closure -- 3.6 Triggers, inputs, outputs and interfaces (SO 4.2.6) -- 3.7 Information management (SO 4.2.7) -- 3.8 Critical success factors and key performance indicators (SO 4.2.8) -- 3.9 Challenges and risks (SO 4.2.9) -- 3.10 Roles and responsibilities (SO 6.7.5) -- 3.10.1 Incident management process owner -- 3.10.2 Incident management process manager -- 3.10.3 First-line analyst -- 3.10.4 Second-line analyst -- 3.10.5 Third-line analyst -- 4 Request fulfilment -- 4.1 Purpose and objectives (SO 4.3.1) -- 4.2 Scope (SO 4.3.2) -- 4.3 Value to the business and service lifecycle (SO 4.3.3) -- 4.4 Policies, principles and basic concepts (SO 4.3.4) -- 4.4.1 Request models -- 4.4.2 Menu selection -- 4.4.3 Request status tracking -- 4.4.4 Financial approval -- 4.4.5 Coordination of fulfilment activities -- 4.5 Process activities, methods and techniques (SO 4.3.5). 4.5.1 Request receipt, logging and validation -- 4.5.2 Request categorization and prioritization -- 4.5.3 Request authorization -- 4.5.4 Request review -- 4.5.5 Request model execution -- 4.5.6 Request closure -- 4.6 Triggers, inputs, outputs and interfaces (SO 4.3.6) -- 4.7 Information management (SO 4.3.7) -- 4.8 Critical success factors and key performance indicators (SO 4.3.8) -- 4.9 Challenges and risks (SO 4.3.9) -- 4.10 Roles and responsibilities (SO 6.7.7) -- 4.10.1 Request fulfilment process owner -- 4.10.2 Request fulfilment process manager -- 4.10.3 Request fulfilment analyst -- 5 Problem management -- 5.1 Purpose and objectives (SO 4.4.1) -- 5.2 Scope (SO 4.4.2) -- 5.3 Value to the business and service lifecycle (SO 4.4.3) -- 5.4 Policies, principles and basic concepts (SO 4.4.4) -- 5.4.1 Reactive and proactive problem management activities -- 5.4.2 Problem models -- 5.4.3 Incidents versus problems -- 5.4.4 Problem management techniques -- 5.4.5 Errors detected in the development environment -- 5.5 Process activities, methods and techniques (SO 4.4.5) -- Figure 5.1 Problem management process flow -- 5.5.1 Problem detection -- 5.5.2 Problem logging -- 5.5.3 Problem categorization -- 5.5.4 Problem prioritization -- 5.5.5 Problem investigation and diagnosis -- 5.5.6 Workarounds -- 5.5.7 Create a known error record -- 5.5.8 Problem resolution -- 5.5.9 Problem closure -- 5.5.10 Major problem review -- 5.6 Triggers, inputs, outputs and interfaces (SO 4.4.6) -- 5.7 Information management (SO 4.4.7) -- 5.8 Critical success factors and key performance indicators (SO 4.4.8) -- 5.9 Challenges and risks (SO 4.4.9) -- 5.10 Roles and responsibilities (SO 6.7.6) -- 5.10.1 Problem management process owner -- 5.10.2 Problem management process manager -- 5.10.3 Problem analyst -- 6 Access management -- 6.1 Purpose and objectives (SO 4.5.1). 6.2 Scope (SO 4.5.2) -- 6.3 Value to the business and service lifecycle (SO 4.5.3) -- 6.4 Policies, principles and basic concepts (SO 4.5.4) -- 6.5 Process activities, methods and techniques (SO 4.5.5) -- 6.5.1 Requesting access -- 6.5.2 Verification -- 6.5.3 Providing rights -- 6.5.4 Monitoring identity status -- 6.5.5 Logging and tracking access -- 6.5.6 Removing or restricting rights -- 6.6 Triggers, inputs, outputs and interfaces (SO 4.5.6) -- 6.7 Information management (SO 4.5.7) -- 6.8 Critical success factors and key performance indicators (SO 4.5.8) -- 6.9 Chalenges and risks (SO 4.5.9) -- 6.10 Roles and responsibilities (SO 6.7.9) -- 6.10.1 Access management process owner -- 6.10.2 Access management process manager -- 6.10.3 Other access management roles -- 7 Service desk -- 7.1 Role (SO 6.3.1) -- 7.2 Objectives (SO 6.3.2) -- 7.3 Organizational structures (SO 6.3.3) -- 7.3.1 Local service desk -- 7.3.2 Centralized service desk -- 7.3.3 Virtual service desk -- 7.3.4 Follow the sun -- 7.3.5 Specialized service desk groups -- 7.3.6 Building a single point of contact -- 7.4 Staffing options (SO 6.3.4) -- 7.4.1 Staffing levels -- 7.4.2 Skill levels -- 7.4.3 Training -- 7.4.4 Staff retention -- 7.4.5 Super users -- 7.5 Measuring service desk performance (SO 6.3.5) -- 7.5.1 Customer satisfaction surveys -- 7.6 Outsourcing the service desk (SO 6.3.6) -- 8 Service operation functions -- 8.1 Functions -- 8.2 Technical management -- Figure 8.1 Service operation functions -- 8.2.1 Role (SO 6.4.1) -- 8.2.2 Objectives (SO 6.4.2) -- 8.2.3 Activities (SO 6.4.3) -- 8.3 IT operations management -- 8.3.1 Role (SO 6.5.1) -- 8.3.2 Objectives (SO 6.5.2) -- 8.3.3 Activities (SO 6.5.3) -- 8.4 Application management -- 8.4.1 Role (SO 6.6.1) -- 8.4.2 Objectives (SO 6.6.2) -- 8.4.3 Activities (SO 6.6.5) -- 9 Technology and implementation. 9.1 Generic requirements for IT service management technology (SO 7.1) -- 9.2 Evaluation criteria for technology and tools (SD 7.2) -- 9.3 Evaluation criteria for technology and tools for process implementation -- 9.3.1 Event management (SO 7.2) -- 9.3.2 Incident management (SO 7.3) -- 9.3.3 Request fulfilment (SO 7.4) -- 9.3.4 Problem management (SO 7.5) -- 9.3.5 Access management (SO 7.6) -- 9.3.6 Service desk (SO 7.7) -- 9.4 Practices for process implementation -- 9.4.1 Service operation and project management (SO 8.2) -- 9.4.2 Assessing and managing risk in service operation (SO 8.3) -- 9.4.3 Operational staff in service design and transition(SO 8.4) -- 9.5 Challenges, critical success factors and risks relating to implementing practices and processes -- 9.5.1 Challenges (ST 9.1, SO 9.1, SD 9.1) -- 9.5.2 Critical success factors (SD 9.3, ST 9.2, SO 9.2) -- 9.5.3 Risks (ST 9.3, SO 9.3, SD 9.2) -- 9.6 Planning and implementing service management technologies (SO 8.5) -- 10 Qualifications -- 10.1 Overview -- 10.2 Foundation Level -- 10.3 Intermediate level -- 10.3.1 Lifecycle stream -- 10.3.2 Capability stream -- 10.4 ITIL Expert -- 10.5 ITIL Master -- 11 Related guidance (SO Appendix A) -- 11.1 ITIL guidance and web services -- 11.2 Quality management system -- 11.3 Risk management -- 11.4 Governance of IT -- 11.5 COBIT -- 11.6 ISO/IEC 20000 service management series -- 11.7 Environmental management and green and sustainable IT -- 11.8 ISO standards and publications for IT -- 11.9 ITIL and the OSI frame work -- 11.10 Programme and project management -- 11.11 Organizational change -- 11.12 Skills Frame work for the Information Age -- 11.13 Carnegie Mellon: CMMI and eSCM frame works -- 11.14 Balanced scorecard -- 11.15 Six Sigma -- Further guidance and contact points -- Glossary. Updated in line with the Operational Support and Analysis (OSA) syllabus, this quick-reference guide will help you as you study for the OSA module of the ITIL Intermediate Capability qualification. EBL201712 SzGeCERN Computing and Computers BOOK 2nd ed. 2013 2745358 edition https://cds.cern.ch/auth.py?r=EBLIB_P_4568793 ebook 201712 n 201749 21 PUBLIC https://catalogue.library.cern/legacy/2295805 BOOK MIGRATED 2295804 SzGeCERN 20210421205952.0 9780113314102 electronic version electronic version 9780113314102 print version 9780113314119 electronic version electronic version oai:cds.cern.ch:2295804 cerncds:BOOK EBL 4568792 eng HD9696.C62 -- .I855 2013eb 004.0688 Hernandez, Alex ITIL and ISO/IEC 20000 a practical handbook London The Stationery Office 2012 116 p ebook ITIL® and ISO/IEC 20000 - A practical handbook -- Contents -- List of figures -- List of tables -- Acknowledgements -- Introduction -- A practical approach -- Figure 0.1 Continual service improvement approach -- ITIL -- Service strategy -- Service design -- Service transition -- Service operation -- Continual service improvement -- ISO /IEC 20000 -- 1 Defining business drivers to execute a service management system -- 1.1 Driver 1: How ISO/IEC 20000 and ITIL can identify customer needs and deliver value -- Figure 1.1 Focus on the customer -- Figure 1.2 Factors that influence value -- 1.2 Driver 2: How ISO/IEC 20000 and ITIL can reduce unplanned downtime -- Table 1.1 Cost of downtime for a company -- Table 1.2 Employee cost of downtime -- 1.2.1 Impact of downtime -- 1.2.2 Platform or environmental issues -- 1.2.3 Application failures -- 1.2.4 Operator errors -- 1.3 Driver 3: How ISO/IEC 20000 and ITIL can reduce total cost of ownership -- Figure 1.3 Total cost of ownership -- 1.4 Driver 4: How ISO/IEC 20000 and ITIL can provide a competitive advantage -- Figure 1.4 The four Ps -- 1.5 Driver 5: How ISO/IEC 20000 and ITIL can improve quality of services -- Figure 1.5 The Deming Cycle -- Figure 1.6 The ISO/IEC 20000 standard -- 1.5.1 Management responsibility -- 1.5.2 Governance of processes operated by other parties -- 1.5.3 Documentation management -- 1.5.4 Resource management -- 2 Defining current reality -- 2.1 Where are we now? -- Table 2.1 Common attributes of service providers -- 2.2 Service provider attributes of an incomplete process -- 2.3 Service provider attributes of an optimized process -- 2.4 ISO/IEC 15504 process capability levels -- Table 2.2 Service provider's current reality -- Table 2.3 Mapping of service provider attributes to ISO/IEC 20000 and ITIL -- Figure 2.1 Gap analysis. Table 2.4 Service provider's current state and desired future state -- Figure 2.2 Change management capability dashboard: current state -- Figure 2.3 Change management capability dashboard: reassess -- Figure 2.4 Service asset and configuration management capability dashboard: current state -- Figure 2.5 Service asset and configuration management capability dashboard: reassess -- 2.5 ISO/IEC 20000 and ITIL mapping and integration -- Table 2.5 ISO/IEC 20000 and ITIL mapping -- 3 Defining future reality -- 3.1 Where do we want to be? -- Figure 3.1 Strategy management for IT services -- Figure 3.2 Service portfolio management -- Figure 3.3 Service management governance example -- Table 3.1 Current business service and capabilities -- Table 3.2 Future business service and capabilities -- 3.1.1 Strategy management for IT services -- 3.1.2 Service portfolio management -- Table 3.3 Basis for the implementation -- 3.1.3 Plan new or changed services -- Table 3.4 Current state and desired future state -- 3.1.4 Design and development of new orchanged services -- 3.1.5 Transition of new or changed services -- 4 Planning, designing, implementing and operating service management -- 4.1 How do we get there? -- 4.2 Planning the development of a roadmap -- Table 4.1 Current state and desired future state of service design and service operation processes -- 4.3 Establish and improve the SMS -- 4.3.1 Define the scope -- 4.3.2 Plan the SMS (Plan) -- Figure 4.1 Service management system -- 4.3.3 Implement and operate the SMS (Do) -- Figure 4.2 Governance structure example -- 4.3.4 Monitor and review the SMS (Check) -- 4.3.5 Maintain and improve the SMS (Act) -- 4.3.6 Design the roadmap -- Table 4.2 Examples of recommendations -- Figure 4.3 Value impact grid -- Figure 4.4 Implementation roadmap -- 4.3.7 ISO /IEC 20000 Part 1 - problem management requirements. 4.3.8 ITIL highlights for problem management -- Figure 4.5 ISO/IEC 20000 phased implementation -- Table 4.3 Objectives of each phase -- 5 Measuring success -- 5.1 Did we get there? -- 5.1.1 Establishing an effective service measurement framework -- 5.1.2 Vision -- 5.1.3 Mission -- Figure 5.1 Vision to measurements -- 5.1.4 Goals -- 5.1.5 Objectives -- 5.1.6 Critical success factors -- 5.1.7 Key performance indicators -- 5.1.8 Metrics -- 5.1.9 Measurements -- Figure 5.2 Service measurement model -- Table 5.1 Integration of CSF, KPI and measurement -- Figure 5.3 Deriving measurements and metrics from goals and objectives -- Table 5.2 Change management example -- Table 5.3 Problem management example -- Figure 5.4 Value realization metrics and balanced scorecard integration -- 6 Keeping the momentum and innovation -- 6.1 How do we keep the momentum going? -- 6.1.1 Where to begin? -- 6.1.2 Big decision: can we do this alone? -- 6.1.3 Why some choose to go it alone -- 6.1.4 Considerations in this decision -- 6.1.5 Things to contemplate before going it alone -- 6.2 Starting with training -- 6.3 Go slow to go fast -- 6.4 Are you thinking service management? -- 6.5 Taking a programme approach to implementing service management -- 6.6 Programme management of service management is a best practice -- 6.6.1 Programme or project? -- Table 6.1 Project and programme comparison -- 6.7 Service management initiation phase -- 6.8 Visible executive and management commitment -- 6.9 Awareness campaigns -- 6.10 Best-laid plans -- 6.11 Communication and the control of it -- 6.12 Who's doing what: roles and responsibilities -- 6.13 Training -- 6.14 Service improvement plan and process implementation -- References -- Index. The purpose of this publication is to provide your organization with a pragmatic approach to effectively implementing service management, incorporating practices from the ITIL framework and the ISO/IEC 20000 standard. EBL201712 Computing and Computers SzGeCERN BOOK Hernandez, Alexander https://cds.cern.ch/auth.py?r=EBLIB_P_4568792 ebook n 201749 201712 21 PUBLIC https://catalogue.library.cern/legacy/2295804 BOOK MIGRATED 2295645 SzGeCERN 20210421205958.0 9781119048640 print version 9781119048664 electronic version electronic version oai:cds.cern.ch:2295645 cerncds:BOOK EBL 4556818 eng TK5103.4833 -- .S233 2016eb 621.38099999999997 Sabban, Albert Wideband RF technologies and antennas in microwave frequencies Hoboken, NJ John Wiley & Sons 2016 464 p ebook Intro -- Title Page -- Copyright -- Contents -- Acknowledgments -- Author Biography -- Preface -- 1 Electromagnetic Wave Propagation and Applications -- 2 ELECTROMAGNETIC THEORY AND TRANSMISSION LINES FOR RF DESIGNERS -- 3 BASIC ANTENNAS FOR COMMUNICATION SYSTEMS -- 4 MIC AND MMIC MICROWAVE AND MILLIMETER WAVE TECHNOLOGIES -- 5 PRINTED ANTENNAS FOR WIRELESS COMMUNICATION SYSTEMS -- 6 MIC AND MMIC MILLIMETER-WAVE RECEIVING CHANNEL MODULES -- 7 INTEGRATED OUTDOOR UNIT FOR MILLIMETER-WAVE SATELLITE COMMUNICATION APPLICATIONS -- 8 MIC AND MMIC INTEGRATED RF HEADS -- 9 MIC AND MMIC COMPONENTS AND MODULES DESIGN -- 10 MICROELECTROMECHANICAL SYSTEMS (MEMS) TECHNOLOGY -- 11 LOW-TEMPERATURE COFIRED CERAMIC (LTCC) TECHNOLOGY -- 12 ADVANCED ANTENNA TECHNOLOGIES FOR COMMUNICATION SYSTEM -- 13 Wearable Communication and Medical Systems -- 14 RF Measurements -- Index -- EULA -- REFERENCES -- 13.8 434MHz Receiving Channel for Communication andMedical Systems -- 13.9 Conclusions -- References -- 14.14 Antenna Range Setup -- References -- 14.5 Transmission Measurements -- 14.6 Output Power and Linearity Measurements -- 14.8 Nonharmonic Spurious Measurements -- 14.10 IP2 Measurements -- 14.11 IP3 Measurements -- 14.12 Noise Figure Measurements -- 14.1 Introduction -- 14.2 Multiport Networks with N-PORTS -- 14.3 Scattering Matrix -- 14.4 S-Parameters Measurements -- 13.1 Wearable Antennas for Communication andMedical Applications -- 12.12 CONCLUSIONS -- REFERENCES -- 13.2 Dually Polarized Wearable 434 MHz PrintedAntenna -- 13.3 Loop Antenna with Ground Plane -- 13.4 Antenna S11 Variation as Function of Distance from Body -- 13.5 Wearable Antennas -- 13.6 Compact Dual-Polarized Printed Antenna -- 13.7 Compact Wearable RFID Antennas -- 12.1 NEW WIDEBAND WEARABLE METAMATERIAL ANTENNAS FOR COMMUNICATION APPLICATIONS -- 11.7 CAPACITOR AND INDUCTOR QUALITY (Q) FACTOR. 11.8 SUMMARY OF LTCC PROCESS ADVANTAGES AND LIMITATIONS -- 12.8 ANTIRADAR FRACTALS AND/OR MULTILEVEL CHAFF DISPERSERS -- 12.9 DEFINITION OF MULTILEVEL FRACTAL STRUCTURE -- 12.10 ADVANCED ANTENNA SYSTEM -- 12.11 APPLICATIONS OF FRACTAL PRINTED ANTENNAS -- 11.1 INTRODUCTION -- 11.2 LTCC AND HTCC TECHNOLOGY FEATURES -- 11.3 LTCC AND HTCC TECHNOLOGY PROCESS -- 11.4 DESIGN OF HIGH-PASS LTCC FILTERS -- 11.5 COMPARISON OF SINGLE-LAYER AND MULTILAYER MICROSTRIP CIRCUITS -- 11.6 LTCC MULTILAYER TECHNOLOGY DESIGN CONSIDERATIONS -- 12.2 STACKED PATCH ANTENNA LOADED WITH SRR -- 12.3 PATCH ANTENNA LOADED WITH SPLIT RING RESONATORS -- 12.4 METAMATERIAL ANTENNA CHARACTERISTICS IN VICINITY TO THE HUMAN BODY -- 12.5 METAMATERIAL WEARABLE ANTENNAS -- 12.6 WIDEBAND STACKED PATCH WITH SRR -- 12.7 FRACTAL PRINTED ANTENNAS -- 10.1 INTRODUCTION -- 9.7 CONCLUSIONS -- REFERENCES -- 10.3 W-BAND MEMS DETECTION ARRAY -- 10.4 ARRAY FABRICATION AND MEASUREMENT -- 10.5 MUTUAL COUPLING EFFECTS BETWEEN PIXELS -- 10.6 MEMS BOW-TIE DIPOLE WITH BOLOMETER -- 10.8 CONCLUSIONS -- REFERENCES -- 9.4 RF AMPLIFIERS -- 9.5 LINEARITY OF RF AMPLIFIERS AND ACTIVE DEVICES -- 9.6 WIDEBAND PHASED ARRAY DIRECTION FINDING SYSTEM -- REFERENCES -- 9.1 INTRODUCTION -- 9.3 POWER DIVIDERS AND COMBINERS -- REFERENCES -- 8.2 SUPER COMPACT X-BAND MONOPULSE TRANSCEIVER -- 8.1 INTEGRATED Ku-BAND AUTOMATIC TRACKING SYSTEM -- 7.8 KA-BAND INTEGRATED HIGH POWER AMPLIFIERS, SSPA, FOR VSAT SATELLITE COMMUNICATION GROUND TERMINAL -- 7.9 CONCLUSIONS -- REFERENCES -- 7.1 THE ODU DESCRIPTION -- 7.2 THE LOW NOISE UNIT: LNB -- 7.4 ISOLATION BETWEEN RECEIVING AND TRANSMITTING CHANNELS -- 6.4 FSU PERFORMANCE -- 7.6 THE ODU MECHANICAL PACKAGE -- 7.7 LOW NOISE AND LOW-COST K-BAND COMPACT RECEIVING CHANNEL FOR VSAT SATELLITE COMMUNICATION GROUND TERMINAL -- 6.6 FSU FABRICATION -- 6.7 CONCLUSIONS -- REFERENCES. 5.2 TWO LAYERS STACKED MICROSTRIP ANTENNAS -- 5.3 STACKED MONOPULSE Ku BAND PATCH ANTENNA -- 6.3 18-40 GHz Integrated Compact Switched Filter Bank Module -- 6.5 FSU DESIGN AND ANALYSIS -- 6.1 18-40 GHz COMPACT RF MODULES -- 5.5 WIRED LOOP ANTENNA -- 5.6 RADIATION PATTERN OF A LOOP ANTENNA NEAR A METAL SHEET -- 5.7 PLANAR INVERTED-F ANTENNA -- 5.1 PRINTED ANTENNAS -- 5.4 LOOP ANTENNAS -- REFERENCES -- 4.4 MONOLITHIC MICROWAVE INTEGRATED CIRCUITS -- 4.5 CONCLUSIONS -- REFERENCES -- 4.1 INTRODUCTION -- 4.2 MICROWAVE INTEGRATED CIRCUITS MODULES -- 3.6 ANTENNA ARRAYS FOR COMMUNICATION SYSTEMS -- 3.4 BASIC APERTURE ANTENNAS -- 3.5 HORN ANTENNAS -- 3.1 INTRODUCTION TO ANTENNAS -- 3.2 ANTENNA PARAMETERS -- 3.3 DIPOLE ANTENNA -- 2.7 MATERIALS -- 2.8 WAVEGUIDES -- 2.9 CIRCULAR WAVEGUIDE -- REFERENCES -- references -- 2.1 definitions -- 2.2 electromagnetic waves -- 1.10 Types of Radars -- 2.3 TRANSMISSION LINES -- 2.4 MATCHING TECHNIQUES -- 2.5 COAXIAL TRANSMISSION LINE -- 2.6 MICROSTRIP LINE -- 1.1 Electromagnetic Spectrum -- 1.2 Free-Space Propagation -- 1.3 Friis Transmission Formula -- 1.4 Link Budget Examples -- 1.5 Noise -- 1.6 Communication System Link Budget -- 1.7 Path Loss -- 1.9 Receivers: Definitions and Features -- 1.9.2 Receivers: Definitions -- 1.7.1 Free-Space Path Loss -- 1.8.1 Basic Receiver Sensitivity Calculation -- 1.6.1 Transmitter -- 1.3.1 Logarithmic Relations -- 2.6.1 Effective Dielectric Constant -- 2.6.2 Characteristic Impedance -- 2.6.4 Losses in Microstrip Line -- 2.5.1 Cutoff Frequency and Wavelength of Coax Cables -- 2.4.1 The Smith Chart Guidelines -- 2.4.3 Wideband Matching: Multisection Transformers -- 2.3.1 Waves in Transmission Lines -- 1.11.1 Transmitter -- 2.2.1 Maxwell´s Equations -- 2.2.2 Gauss´s Law for Electric Fields -- 2.2.6 Wave Equations -- 2.9.1 TE Waves in Circular Waveguide -- 2.9.2 TM Waves in Circular Waveguide. 2.8.1 TE Waves -- 2.8.2 TM Waves -- 3.3.1 Radiation from a Small Dipole -- 3.3.2 Dipole Radiation Pattern -- 3.3.4 Dipole H-Plane Radiation Pattern -- 3.3.5 Antenna Radiation Pattern -- 3.3.7 Antenna Impedance -- 3.5.1 E-Plane Sectoral Horn -- 3.5.2 H-Plane Sectoral Horn -- 3.4.1 The Parabolic Reflector Antenna -- 3.4.2 Reflector Directivity -- 3.4.3 Cassegrain Reflector -- 3.6.1 Introduction -- 3.6.2 Array Radiation Pattern -- 3.6.3 Broadside Array -- 3.6.4 End-Fire Array -- 3.6.6 Stacked Microstrip Antenna Arrays -- 3.6.7 Ka-band Microstrip Antenna Arrays -- 4.3.1 Introduction -- 4.3.2 Description of the Receiving Channel -- 4.3.4 Description of the Transmitting Channel -- 4.4.6 Generation of Microwave Signals in Microwave and mm Wave -- 4.4.7 MMIC Circuit Examples and Applications -- 4.4.3 Advantages of GaAs versus Silicon -- 4.4.4 Semiconductor Technology -- 4.4.5 MMIC Fabrication Process -- 4.4.1 Introduction -- 3.5.3 Pyramidal Horn Antenna -- 4.3.5 Transmitting Channel Fabrication -- 4.3.6 RF Controller -- 5.4.1 Small Loop Antenna -- 5.4.2 Printed Loop Antenna -- 5.4.3 RFID Loop Antennas -- 5.4.4 New Loop Antenna with Ground Plane -- 5.1.1 Introduction to Microstrip Antennas -- 5.1.2 Transmission Line Model of Microstrip Antennas -- 5.1.3 Higher-Order Transmission Modes in Microstrip Antennas -- 5.1.5 Losses in Microstrip Antennas -- 5.7.1 Grounded Quarter Wavelength Patch Antenna -- 5.7.2 A New Double Layers PIFA Antenna -- 6.2.1 18-40 GHz Front-End Requirements -- 6.5.1 Comparison of FSU Implementation by Discrete Components or as Super Component -- 6.5.2 FSU Analysis -- 6.5.3 FSU Thermal Analysis -- 6.5.4 FSU Interfaces and Layout -- 6.4.2 Electrical Interfaces and Connectors -- 6.4.3 Environmental Conditions -- 6.4.4 Input DC Voltages and Currents -- 6.4.8 FSU Physical Characteristics -- 6.4.9 Logic Requirements -- 6.3.1 Introduction. 6.3.3 Switch Filter Bank Specifications -- 6.3.4 Filter Design -- 5.3.1 Rat-Race Coupler -- 6.2.2 Front-End Design -- 6.2.3 High Gain Front-End Module -- 6.2.4 High Gain Front-End Design -- 7.7.5 Development of the Receiving Channel -- 7.7.7 Conclusions -- 7.7.1 Introduction -- 7.7.2 Receiving Channel Design -- 6.4.1 FSU Requirements -- 7.5.1 Specifications -- 7.5.3 SSPA Electrical Design -- 7.5.4 Advanced Packaging Techniques for High-Power 30GHz Transmit Channels -- 8.1.3 Monopulse Processor -- 8.1.4 High Power Amplifier -- 7.8.1 Introduction -- 7.8.3 Description of the 0.5 and 1.5W Power Amplifiers -- 7.8.5 Description of the 3.2W Power Amplifier -- 7.8.6 Measured Test Results -- 8.1.1 Automatic Tracking System Link Budget Calculations -- 8.1.2 Ku-Band Tracking System Antennas -- 8.2.1 RF Head Description -- 8.2.2 RF Head Specifications -- 8.2.3 RF Head Design -- 8.2.4 RF Head Measurements -- 8.1.6 Tracking System Interface -- 8.1.5 Tracking System Downconverter/Upconverter -- 9.3.1 Wilkinson Power Divider -- 9.3.3 Gysel Power Divider -- 9.3.5 Wideband Three-Way Unequal Power Divider -- 9.3.6 Wideband Six-Way Unequal Power Divider -- 9.3.7 Wideband Five-Way Unequal Power Divider -- 9.2.1 Resistors -- 9.2.2 Capacitor -- 9.2.4 Couplers -- 9.2.5 A Wideband Millimeter-Wave Coupler -- 8.2.5 X-Band RF Head Test Results -- 9.6.3 Receiving Channel Design -- 9.6.1 Introduction -- 9.6.2 Wideband Receiving Direction Finding System -- 9.5.1 Third-Order Model for a Single Tone -- 9.5.2 Third-Order Model for Two Tones -- 9.5.3 Third-Order Intercept Point -- 9.4.1 Amplifiers Stability -- 9.4.3 Class A Amplifiers -- 9.4.4 Class B Amplifier -- 9.4.5 Class C Amplifier -- 9.4.6 Class D Amplifier -- 10.3.1 Detection Array Concept -- 10.3.3 W-Band Antenna Design -- 10.3.4 Resistor Design -- 9.6.4 Measured Results of the Receiving Channel -- 10.2.3 MEMS Components. 10.2.1 MEMS Technology Advantages. EBL201711 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4556818 ebook n 201748 201711 21 PUBLIC https://catalogue.library.cern/legacy/2295645 BOOK MIGRATED 2295635 SzGeCERN 20210421210000.0 9789814411813 print version 9789814411820 electronic version electronic version oai:cds.cern.ch:2295635 cerncds:BOOK EBL 4542959 eng TJ808 -- .M384 2016eb 621.04200000000003 Munoz-Rojas, David Materials for sustainable energy applications conversion, storage, transmission, and consumption New York, NY Pan Stanford 2016 826 p ebook Front Cover -- About the Editors -- Contents -- Preface -- Part 1: Introduction -- Part 2: Energy Conversion -- Part 3: Energy Storage -- Part 4: Energy Transmission and Consumption -- Back Cover -- Chapter 11: Superconductors -- Chapter 12: Solid-State Lighting: An Approach to Energy-Efficient Illumination -- Chapter 13: Solid-State Refrigeration Based on Caloric Effects -- Chapter 7: Batteries: Fundamentals and Materials Aspects -- Chapter 8: Environmentally Friendly Supercapacitors -- Chapter 9: Power-to-Fuel and Artificial Photosynthesis for Chemical Energy Storage -- Chapter 10: Hydrogen Storage -- Chapter 2: Materials for Photovoltaic Solar Cells -- Chapter 3: Low-Cost Electricity Production from Sunlight: Third-Generation Photovoltaics and the Dye-Sensitized Solar Cell -- Chapter 4: Thermoelectrics -- Chapter 5: Piezoelectric Conversion -- Chapter 6: Fuel cells -- Chapter 1: Energy in Transition. EBL201711 Engineering SzGeCERN BOOK Moya, Xavier https://cds.cern.ch/auth.py?r=EBLIB_P_4542959 ebook n 201748 201711 21 PUBLIC https://catalogue.library.cern/legacy/2295635 BOOK MIGRATED 2295625 SzGeCERN 20210421210000.0 9781608078677 print version 9781608078684 electronic version electronic version oai:cds.cern.ch:2295625 cerncds:BOOK EBL 4537960 eng TK7871.6 -- .K553 2015eb 621.38413500000001 Kildal, Per-Simon Foundations of antenna engineering Norwood Artech House 2015 478 p ebook Foundations of Antenna Engineering: A Unified Approach for Line-of-Sight and Multipath -- Contents -- Preface -- Acknowledgments -- Chapter 1 Introduction -- 1.1 Antenna Types and Classes -- 1.2 Brief History of Antennas and Analysis Methods -- 1.3 Terminology, Quantities, Units, and Symbols -- 1.3.1 Radiation or Scattering -- 1.3.2 Reflection, Refraction, and Diffraction -- 1.3.3 Rays, Waves, Phase Fronts, and Phase Paths -- 1.3.4 SI Units for Fields and Sources and Decibels -- 1.3.5 Symbols -- 1.4 Vector Notation and Coordinate Transformations -- 1.4.1 Some Vector Formulas -- 1.4.2 Coordinate Transformations -- 1.4.3 Dyads -- 1.5 Overview on EM Analysis Methods by S. Maci -- References -- Chapter 2 Characterization of Directive Antennas -- 2.1 Time-Harmonic Electromagnetic Fields -- 2.2 Plane Waves and Their Polarization -- 2.2.1 Linear Polarization -- 2.2.2 Circular Polarization -- 2.2.3 Axial Ratio and Cross-Polarization -- 2.2.4 Example: Amplitude and Phase Errors in Circular Polarization Excitations -- 2.2.5 Polarizer for Generating Circular Polarization -- 2.2.6 Example: Mismatch in Polarizer -- 2.3 Radiation Fields -- 2.3.1 Field Regions -- 2.3.2 Radiation Fields of Receiving Antennas -- 2.3.3 Far-Field Function and Radiation Intensity -- 2.3.4 Phase Reference Point and Fraunhofer Approximation -- 2.3.5 Polarization of Radiation Fields -- 2.3.6 Copolar and Cross-Polar Radiation Patterns -- 2.3.7 Phase Center -- 2.3.8 Total Radiated Power -- 2.3.9 Directive Gain and Directivity -- 2.3.10 Beamwidth -- 2.3.11 Cross-Polarization -- 2.3.12 Beam Efficiency -- 2.3.13 E- and H-Plane Patterns -- 2.3.14 Fourier Expansion of the Radiation Field -- 2.3.15 Example: Phase Reference Point for Asymmetric Phase Pattern -- 2.3.16 Example: Calculation of Phase Center of a Symmetric Beam -- 2.4 Rotationally Symmetric Antennas (BOR). 2.4.1 BOR0 Antennas with Rotationally Symmetric Radiation Fields -- 2.4.2 BOR1 Antennas -- 2.4.3 Example: Directivity of BOR1 Antenna with Low Sidelobes -- 2.4.4 Example: Directivity of BOR1 Antenna with High Far-Out Sidelobes -- 2.4.5 Example: BOR1 Antenna with Different E- and H-Plane Patterns -- 2.4.6 Example: BOR1 Antenna with Different E- and H-Plane Phase Patterns -- 2.5 System Characteristics of the Antenna -- 2.5.1 Antenna Gain -- 2.5.2 Aperture Efficiency and Effective Area -- 2.5.3 Friis Transmission Equation and the Radar Equation -- 2.5.4 Antenna Noise Temperature and G/T -- 2.5.5 Bandwidth -- 2.5.6 Tolerances -- 2.5.7 Environmental Effects -- 2.5.8 Example: Noise Temperature and G/T -- 2.6 Equivalent Circuits of Single-Port Antennas -- 2.6.1 Transmitting Antennas -- 2.6.2 Impedance Matching to Transmission Line -- 2.6.3 Receiving Antenna -- 2.6.4 Conjugate Impedance Matching -- 2.6.5 Impedance and Reflection Coefficient Transformations -- 2.7 Periodic Reflection Coefficients -- 2.8 Equivalent Circuits of Multiport Array Antennas -- 2.9 Further Reading -- 2.10 Complementary Comments by S. Maci -- 2.11 Exercises -- References -- Chapter 3 Characterization in Multipath -- 3.1 Multipath Without Line of Sight (LOS) -- 3.1.1 Rayleigh Fading and CDF -- 3.1.2 Angle of Arrival (AoA), XPD, and Polarization Imbalance -- 3.1.3 Rich Isotropic Multipath (RIMP) -- 3.2 Characterization of Single-Port Antennas in RIMP -- 3.2.1 Antenna Impedance, Port Impedance, and Reflection Coefficient -- 3.2.2 Mean Effective Gain (MEG) and Mean Effective Directivity (MED) -- 3.2.3 Total Radiation Efficiency and Transmission Formula -- 3.3 Characterization of Multiport Antennas in RIMP -- 3.3.1 Definition of Channel -- 3.3.2 Embedded Elements -- 3.3.3 Embedded Radiation Efficiency and Decoupling Efficiency -- 3.3.4 Correlation Between Ports. 3.4 Characterization of Diversity Performance -- 3.4.1 Channel Estimation and Digital MRC Processing -- 3.4.2 Example: MRC Applied to 2-D Slot Antenna Case -- 3.4.3 Diversity Gains (Apparent, Effective, and Actual) -- 3.4.4 Theoretical Determination of Diversity Gain -- 3.5 Maximum Available Capacity from Shannon -- 3.5.1 Single-Port System -- 3.5.2 Parallel Channels in LOS -- 3.5.3 Parallel Channels in Multipath -- 3.5.4 Normalization -- 3.5.5 Numerical Simulation of Channels in Multipath -- 3.6 Emulation of RIMP Using Reverberation Chamber -- 3.6.1 Mode Stirring (Mechanical, Platform, Polarization) -- 3.6.2 The S-Parameters of the Chamber and of the Antennas -- 3.6.3 Rayleigh Fading, Rician Fading, and AoA Distribution -- 3.6.4 Average Transmission Level (Hill's Formula) and Calibration -- 3.6.5 Frequency Stirring on Net Transfer Function -- 3.6.6 Number of Independent Samples and Accuracy -- 3.7 Measurements in Reverberation Chamber -- 3.7.1 Calibration and Characterizing Multiport Antennas -- 3.7.2 Radiated Power, Receiver Sensitivity, and Data Throughput -- 3.8 System Modeling Using Digital Threshold Receiver -- 3.8.1 The digital threshold receiver -- 3.8.2 Modeling OFDM in LTE 4G System -- 3.8.3 Theoretical and Measured Results for i.i.d. Diversity Case -- 3.9 MIMO Multiplexing to Obtain Multiple Bitstreams -- 3.9.1 Diagonalizing the Channel Matrix -- 3.9.2 Measurements of Two Bitstreams in Reverberation Chamber -- 3.9.3 Quality of Throughput in Terms of MIMO Efficiency -- 3.10 Antennas for Use on Handsets -- 3.11 Exercises -- References -- Chapter 4 The Theory of Radiation from Current Sources -- 4.1 Maxwell's Equations -- 4.1.1 Differential Form -- 4.1.2 Standard Boundary Conditions -- 4.1.3 Impressed Current Sources on PECs -- 4.1.4 Soft and Hard Boundary Conditions -- 4.1.5 Auxiliary Vector Potentials. 4.2 Vector Integral Forms of the E- and H-Fields -- 4.2.1 General Expressions -- 4.2.2 Radiating Far-Field Expressions -- 4.2.3 Duality -- 4.2.4 Superposition -- 4.2.5 Replacement Between Electric and Magnetic Currents -- 4.2.6 Frequency Scaling -- 4.3 Construction of Solutions: Uniqueness and Equivalence -- 4.3.1 PEC Equivalent and Magnetic Currents -- 4.3.2 Free Space and Huygens Equivalents -- 4.3.3 Physical Equivalent -- 4.4 Incremental Current Sources -- 4.4.1 Incremental Electric Current (or Hertz Dipole) -- 4.4.2 Incremental Magnetic Current -- 4.4.3 Huygens Source -- 4.4.4 Summary -- 4.4.5 Example: Directivities of Incremental Sources -- 4.5 Reaction, Reciprocity, and Mutual Coupling -- 4.5.1 Reaction Integrals -- 4.5.2 Three Reciprocity Relations -- 4.5.3 Reciprocity Between Input and Output Ports of Antennas -- 4.5.4 Mutual Impedance, Mutual Admittance, and Coupling Coefficient -- 4.6 Imaging -- 4.7 Integral Equations, Method of Moment, and Galerkin's Method -- 4.7.1 Simple Algorithm for the Near Field from the Line Current -- 4.7.2 Simple Algorithm for the Near Field from the Surface Current -- 4.8 Complementary Comments by S. Maci -- 4.9 Exercises -- References -- Chapter 5 Small Wire and Slot Antenna -- 5.1 Electric Monopole and Dipole -- 5.1.1 Approximate Current Distribution of a Monopole -- 5.1.2 Approximate Current Distribution of a Dipole -- 5.1.3 Far-Field Function of a Dipole -- 5.1.4 Directivity and Radiation Resistance of a Short Dipole -- 5.1.5 Equivalent Circuit and Maximum Effective Aperture of a Short Dipole -- 5.1.6 Directivity and Radiation Resistance of a Half-Wave Dipole -- 5.1.7 Self-Impedance of an Electric Dipole -- 5.1.8 Impedance of Cylindrical and Flat Electric Dipoles -- 5.1.9 Dipole at an Arbitrary Location -- 5.1.10 Arbitrary Dipole Above Ground -- 5.1.11 Vertical Dipole Above Ground -- 5.1.12 Vertical Monopole. 5.1.13 Horizontal Dipole Above Ground -- 5.2 Electric Loop Antenna as Vertical Magnetic Dipole -- 5.3 Helical Antennas -- 5.4 Slot Antennas -- 5.4.1 Field Distribution and Radiation Pattern -- 5.4.2 Slot Admittance When Excited by Voltage Source -- 5.4.3 Slot Excited by a Plane Wave -- 5.4.4 Reflection Coefficient of Open Waveguide -- 5.4.5 Slots in Waveguide Walls -- 5.5 Further Reading -- 5.6 Complementary Comments by S. Maci -- 5.7 Exercises -- References -- Chapter 6 Microstrip Antennas and Spectral Domain Methods -- 6.1 Transmission Line Model for a Rectangular Patch -- 6.1.1 Radiation Pattern by a Two-Slot Model -- 6.1.2 Impedance by a Transmission Line Model -- 6.2 Self-Reaction Model for Patch Impedance -- 6.2.1 Expansion of Current Distribution and Method of Moment -- 6.2.2 Impedance of Line-Fed Patches -- 6.2.3 Impedance of Probe-Fed Patches -- 6.3 Spectral Domain Methods -- 6.3.1 3-D Field Problem -- 6.3.2 Harmonic 1-D Field Problem -- 6.3.3 Green's Function of Harmonic 1-D Field Problem -- 6.3.4 Numerical Implementation -- 6.4 Further Reading -- 6.5 Complementary Comments by S. Maci -- 6.6 Exercises -- References -- Chapter 7 Radiation from Apertures -- 7.1 Apertures in PECs -- 7.1.1 PECs of Arbitrary Shape -- 7.1.2 Infinite PEC Planes -- 7.2 Virtual Apertures in Free Space -- 7.2.1 Free Space and Huygens Equivalents -- 7.2.2 Plane Apertures -- 7.3 Apertures in the xy-Plane -- 7.3.1 PEC Aperture and Its Incremental Element Factor -- 7.3.2 Free-Space Aperture and Its Incremental Element Factor -- 7.3.3 Power Integration over Aperture and Maximum Directivity -- 7.4 Rectangular Plane Aperture -- 7.4.1 E- and H-Plane Patterns -- 7.4.2 Directivity and Aperture Efficiency -- 7.4.3 Uniform Aperture Distribution -- 7.5 Circular Aperture with BOR1 Excitation -- 7.5.1 Aperture Field and Far-Field Function -- 7.5.3 Gaussian Aperture Distribution. 7.5.4 Tapered Aperture Distributions. EBL201711 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4537960 ebook n 201748 201711 21 PUBLIC https://catalogue.library.cern/legacy/2295625 BOOK MIGRATED 2295488 SzGeCERN 20180410204929.0 9781611224863 (electronic bk.) electronic version 9781607414759 electronic version EBL 3018082 eng TN859.U62 -- O45 2009eb 623 Bussell, Ike S Oil shale developments Hauppauge Nova Science 2014 216 p Energy science, engineering and technology "OIL SHALE DEVELOPMENTS" -- "OIL SHALE DEVELOPMENTS" -- "NOTICE TO THE READER" -- "CONTENTS" -- "PREFACE" -- "Chapter 1: STATEMENT OF C. STEPHEN ALLRED, LAND AND MINERALS MANAGEMENT, U.S. DEPARTMENT OF THE INTERIOR, OVERSIGHT HEARING: OIL SHALE, SENATE ENERGY AND NATURAL RESOURCES COMMITTEE,MAY 15, 2008" -- "OIL SHALE PROGRAMMATIC ENVIRONMENTAL IMPACT STATEMENT" -- "OIL SHALE REGULATIONS" -- "RD&D" -- "THE CASE FOR OIL SHALE" -- "CONCLUSION" -- "Chapter 2: TESTIMONY OF JAMES V. HANSEN, OIL SHALE EXPLORATION COMPANY (OSEC), MAY 15, 2008, SENATE ENERGY AND NATURAL RESOURCES COMMITTEE" -- "US OIL SHALE RESOURCE" -- "ELSEWHERE WORLDWIDE" -- "PAST US EFFORTS" -- "CURRENT US PROGRAMS" -- "OSEC AS AN EXAMPLE" -- "NEED FOR A FEDERAL OIL SHALE PROGRAM" -- "DOMENICI BILL" -- "Chapter 3: TESTIMONY OF TERRY O’CONNOR, EXTERNAL AND REGULATORY AFFAIRS, SHELL EXPLORATION AND PRODUCTION COMPANY, UNCONVENTIONAL OIL, BEFORE THE UNITED STATES SENATE ENERGY COMMITTEE, MAY 15, 2008" -- "Chapter 4: BILL RITTER, JR., GOVERNOR OF COLORADO, TESTIMONY BEFORE THE SENATE COMMITTEE ON ENERGY AND NATURAL RESOURCES, OVERSIGHT HEARING: OIL SHALE RESOURCES, THURSDAY, MAY 15, 2008" -- "BACKGROUND PRINCIPLES" -- "COLORADO’S OIL SHALE COUNTRY" -- "MOVING FORWARD WISELY ON OIL SHALE" -- "COLORADO PERSPECTIVES ON PENDING OIL SHALE LEGISLATIVE PROPOSALS" -- "CONCLUSION" -- "ATTACHMENTS" -- "Chapter 5: STATEMENT OF STEVE SMITH, THE WILDERNESS SOCIETY, BEFORE THE COMMITTEE ON ENERGY AND NATURAL RESOURCES UNITED STATES SENATE, REGARDING OIL SHALE DEVELOPMENT AND RESEARCH, MAY 15, 2008" -- "Chapter 6: DEVELOPMENTS IN OIL SHALE" -- "ABSTRACT" -- "BACKGROUND" -- "OIL SHALE RESOURCE POTENTIAL" -- "CHALLENGES TO DEVELOPMENT" -- "COMMERCIAL LEASING PROGRAM" -- "CONCLUSION AND POLICY PERSPECTIVE[58]" -- "REFERENCES" -- "Chapter 7: GEOLOGY AND RESOURCES OF SOME WORLD OIL-SHALE DEPOSITS". "ABSTRACT" -- "INTRODUCTION" -- "RECOVERABLE RESOURCES" -- "DETERMINING GRADE OF OIL SHALE" -- "ORIGIN OF ORGANIC MATTER" -- "THERMAL MATURITY OF ORGANIC MATTER" -- "CLASSIFICATION OF OIL SHALE" -- "EVALUATION OF OIL-SHALE RESOURCES" -- "AUSTRALIA" -- "BRAZIL" -- "CANADA" -- "CHINA" -- "ESTONIA" -- "ISRAEL" -- "JORDAN" -- "SYRIA" -- "MOROCCO" -- "RUSSIA" -- "SWEDEN" -- "THAILAND" -- "TURKEY" -- "UNITED STATES" -- "SUMMARY OF WORLD RESOURCES OF SHALE OIL" -- "REFERENCES" -- "Chapter 8: OIL SHALE: HISTORY, INCENTIVES, AND POLICY" -- "ABSTRACT" -- "INTRODUCTION" -- "GEOLOGY AND PRODUCTION TECHNOLOGY OF OIL SHALE" -- "HISTORY OF OIL SHALE DEVELOPMENT" -- "INCENTIVES AND DISINCENTIVES TO DEVELOPMENT" -- "POLICY PERSPECTIVE AND CONSIDERATION" -- "APPENDIX: LEGISLATIVE HISTORY" -- "REFERENCES" -- "Chapter 9: OIL SHALE MANAGEMENT RULE" -- "United States Government Accountability Office" -- "REPORT UNDER 5 U.S.C.  801(A)(2)(A) ON A MAJOR RULE ISSUED BY DEPARTMENT OF THE INTERIOR, BUREAU OF LAND MANAGEMENT ENTITLED "OIL SHALE MANAGEMENT–GENERAL" (RIN: 1004-AD90)" -- "Chapter 10: WATER RIGHTS RELATED TO OIL SHALE DEVELOPMENT IN THE UPPER COLORADO RIVER BASIN" -- "ABSTRACT" -- "WATER RIGHTS IN THE COLORADO RIVER BASIN GENERALLY" -- "COLORADO BASIN STATES’ LAWS AFFECTING WATER RIGHTS" -- "THE LAW OF THE RIVER AND INTERSTATE WATER ALLOCATION" -- "REFERENCES" -- "INDEX". 9781607414759 print version oai:cds.cern.ch:2295488 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3018082 ebook ebook EBL Oil-shale industry EBL201711 Engineering SzGeCERN BOOK n 201748 201711 21 PUBLIC BOOK DELETED 2302041 SzGeCERN 20180126205953.0 oai:cds.cern.ch:2302041 cerncds:FULLTEXT AIDA-2020-SLIDE-2018-005 eng WU, Mengqing DESY Environmental slow control system for the DESY-II Testbeam Area 2018 Geneva CERN 2018-01-18 SLIDE FP7 654168 AIDA-2020 openAccess SLIDE CERN Invenio WebSubmit GENEU 0.1 Detectors and Experimental Techniques SzGeCERN 15: Upgrade of beam and irradiation test infrastructure AIDA-2020 WP AIDA-2020 AIDA-2020SLIDE 1381136 8426245 http://cds.cern.ch/record/2302041/files/AIDA-2020-SLIDE-2018-005.pdf 1381136 11045 http://cds.cern.ch/record/2302041/files/AIDA-2020-SLIDE-2018-005.jpg?subformat=icon- icon- 1381136 12689959 http://cds.cern.ch/record/2302041/files/AIDA-2020-SLIDE-2018-005.pdf?subformat=pdfa pdfa 1381136 6785 http://cds.cern.ch/record/2302041/files/AIDA-2020-SLIDE-2018-005.gif?subformat=icon icon livia.lapadatescu@cern.ch PUBLIC AIDA-2020 2301046 SzGeCERN 20200503231954.0 9781138806337 electronic version electronic version 9781138806337 print version 9781317616122 electronic version electronic version oai:cds.cern.ch:2301046 cerncds:BOOK EBL 5148607 eng TJ810 .T467 2018 621.31/244 Thorpe, David Solar energy pocket reference 2nd ed. Florence Taylor and Francis 2017 204 p ebook Energy pocket reference Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of figures and tables -- 1 Sunlight -- 1.1 The nature of sunlight -- 1.2 Calculating photon flux -- 1.3 Spectral irradiance -- 2 Modelling available solar radiation -- 2.1 Total radiant power density -- 2.2 Black-bodies -- 2.3 Standard solar spectra -- 2.4 Solar time -- 2.4.1 The equation of time -- 2.4.2 The hour angle -- 2.4.3 The declination angle -- 2.4.4 The elevation angle -- 2.4.5 The azimuth angle -- 2.5 Sun path diagrams -- 2.5.1 Shading factor -- 2.6 Solar radiation at the earth’s surface -- 2.6.1 Net radiation -- 2.6.2 Air mass -- 2.6.3 Global horizontal irradiance (GHI) -- 2.6.4 The clearness index -- 2.6.5 The clear-sky index -- 2.7 Tilted surfaces -- 2.7.1 Solar incidence angles -- 2.7.2 Irradiance components -- 3 Emissivity and absorption of materials -- 3.1 Selective surfaces -- 3.1.1 Band gaps -- 3.2 Emittance -- 3.3 Absorptance -- 3.4 Absorption and emissivity of selective surfaces -- 3.5 Absorbed solar radiation by material -- 3.6 Spectral absorption of solar radiation in water -- 3.7 Light refraction in transparent materials -- 4 Photovoltaics -- 4.1 Photovoltaic cells -- 4.2 Types of cell -- 4.2.1 Wafer-based crystalline silicon technology -- 4.2.2 Thin film -- 4.2.3 Concentrating solar power -- 4.2.4 Organic PV -- 4.2.5 Advanced inorganic thin films -- 4.2.6 Perovskite -- 4.3 Power calculations -- 4.4 Balance of system elements -- 4.5 General PV system design advice -- 4.6 Costs -- 4.7 Capacity factor -- 4.8 Small-scale stand-alone system design -- 4.9 Utility-scale PV -- 4.9.1 Fixed or tracking arrays? -- 4.9.2 Suggested time line for a project (with average time estimate) -- 4.9.3 Operation and maintenance -- 4.10 Worked example -- 4.11 Safety issues -- 4.12 PV power for water pumping. 4.13 Social and environmental aspects of PV -- 4.13.1 Energy payback -- 4.13.2 Carbon payback -- 4.13.3 Environmental effects of photovoltaics -- 5 Solar thermal systems -- 5.1 Collector types: small/medium scale -- 5.2 Small-scale solar thermal system types -- 5.2.1 Open loop system -- 5.2.2 Closed loop system -- 5.3 Medium-scale solar thermal system design -- 5.3.1 System efficiency -- 5.3.2 Tank sizing -- 5.3.3 Pump sizing -- 5.3.4 Safety issues -- 5.4 Collector types: large scale -- 5.4.1 Parabolic trough -- 5.4.2 Fresnel reflector -- 5.4.3 Solar tower -- 5.4.4 Solar dishes -- 5.4.5 Solar updraft tower -- 5.5 Large-scale solar system types -- 5.6 Evaluating collectors -- 5.6.1 Unglazed collectors -- 5.6.2 Flat collectors -- 5.6.3 Concentrating collectors -- 5.6.4 Evacuated tubes -- 5.7 Solar thermal system calculations -- 5.7.1 Calculating thermal energy requirements -- 5.7.2 Calculating flow rates in heating systems -- 5.7.3 The f-chart method -- 5.7.4 Piping and tank losses -- 5.7.5 The utilisability method -- 5.8 Thermal storage systems -- 5.8.1 Sensible heat storage -- 5.8.2 Phase change materials (PCMs) -- 5.8.3 Thermo-chemical storage -- 5.8.4 Storage options for larger systems -- 6 Desalination and drying -- 6.1 The need for desalination -- 6.2 Technologies for desalination -- 6.3 Solar options for desalination -- 6.3.1 Concentrated solar power (CSP) -- 6.3.2 PV -- 6.3.3 Photovoltaic thermal technology (PV/T) -- 6.3.4 Concentrated evaporation -- 6.3.5 Plasmon-mediated solar desalination -- 6.4 Solar desalination greenhouse -- 6.5 Small scale: solar stills -- 6.5.1 Passive design -- 6.5.2 Active PV design -- 6.6 Solar drying -- 6.6.1 Three designs -- 6.6.2 Solar kiln -- 6.7 Solar pasteurisation -- 7 Solar cooling -- 7.1 Space cooling -- 7.1.1 Absorption NH3/H2O -- 7.1.2 Absorption H2O/LiBr -- 7.1.3 Adsorption. 7.1.4 Open cycle liquid desiccant cooling -- 7.1.5 Solid desiccant air handling unit -- 7.1.6 Desiccant-enhanced evaporative (DEVAP) air-conditioner -- 7.2 Solar design considerations -- 7.2.1 Evaluation -- 8 Making the business case -- 8.1 Financial case -- 8.1.1 Estimate the resulting cash flow -- 8.1.2 Apply the discount rate -- 8.1.3 Calculate the net present value (NPV) -- 8.1.4 Compare the internal rate ofreturn (IRR) -- 8.2 Carbon offsetting -- 9 Units -- 9.1 SI radiometric units -- 9.2 Prefixes -- 9.3 Other energy units -- 9.4 Conversion factors -- 9.4.1 Conversion factors for mass -- 9.4.2 Conversion factors for volume -- 9.5 Power and energy -- 10 Standards -- 10.1 Standard setting bodies -- 10.2 Standards for solar measurement -- 10.3 Standards for solar thermal -- 10.4 Standards for solar PV -- 11 Resources for calculation and modelling -- 11.1 Datasets -- 11.2 Software -- 11.3 Case studies and technical information. EBL201801 Engineering SzGeCERN BOOK Thorpe, David https://cds.cern.ch/auth.py?r=EBLIB_P_5148607 ebook n 201803 201801 21 PUBLIC BOOK DELETED 2301044 SzGeCERN 20210421205545.0 9780815396123 electronic version electronic version 9780815396123 print version 9781351182706 electronic version electronic version oai:cds.cern.ch:2301044 cerncds:BOOK EBL 5145772 eng TK1081 .N377 2017 621.312134 Narrain, Pradeep Low head hydropower for local energy solutions Milton CRC Press 2017 245 p ebook Cover -- Half Title -- Title -- Copyright -- Epigraph -- Summary -- Samenvatting -- Contents -- Nomenclature -- Chapter 1 Introduction -- 1.1 Energy demand -- 1.2 Hydropower -- 1.3 Low head hydropower – the HYLOW project -- 1.4 Hydrostatic pressure machine -- 1.5 Modelling approach -- 1.6 General Objectives -- 1.7 Research Questions -- 1.8 Outline of the thesis -- Chapter 2 The Water – Energy nexus -- 2.1 Large Hydropower -- 2.2 Small Hydropower -- 2.3 Appropriate Technology -- 2.4 Small scale power generation -- 2.5 The HYLOW hydrostatic pressure converters -- 2.6 Environmental issues -- 2.7 Costs -- Chapter 3 Hydropower take–off mechanics -- 3.1 Hydraulic machines -- 3.1.1 Turbines -- 3.1.2 Waterwheels -- 3.1.3 Other hydropower machines -- 3.1.4 Power calculation -- 3.2 The HYLOW project -- 3.2.1 Project scope -- 3.2.2 The hydrostatic pressure machine (HPM -- 3.2.3 The free stream energy converter -- 3.2.4 Micro-turbines in water pipeline networks -- 3.3 Design considerations -- 3.3.1 The power take-off mechanism -- 3.3.2 Schematic set-up of power generation -- Chapter 4 Computational Fluid Dynamics -- 4.1 Governing equations -- 4.1.1 Conservation principles -- 4.1.2 Reynolds Averaged Navier Stokes equations (RANS -- 4.1.3 Turbulence closure -- 4.1.4 Discretisation methods for numerical simulation -- 4.1.5 Discretization in space and time -- 4.2 Free surfaces, volume of fluid (VoF) approach -- 4.2.1 Multiphysics approach to free surface flows -- 4.2.2 Surface tracking -- 4.2.3 Volume tracking methods -- Chapter 5 Application of 2D CFD modelling -- 5.1 2D Setup: Preprocessing -- 5.1.1 Domain -- 5.1.2 Mesh -- 5.1.3 General settings -- 5.1.4 2D Cases -- 5.1.5 Postprocessing -- 5.2 2D Analysis -- 5.2.1 Case 1 -- 5.2.2 Case 2 -- 5.2.3 Case 3 -- 5.2.4 Case 4 -- 5.3 Comparison of results -- 5.4 Discussion: 2D case. Chapter 6 Application of 3D CFD modelling -- 6.1 3D Setup: Preprocessing -- 6.1.1 Domain -- 6.1.3 General settings -- 6.1.2 Mesh -- 6.1.4 3D Cases -- 6.2 3D Analysis -- 6.2.1 Case 1 -- 6.2.2 Case 2 -- 6.2.3 Model with wall gap -- 6.2.4 Full model with straight blades -- 6.2.5 Full model with blade slope -- 6.2.6 Case 3 -- 6.3 Comparison of results -- 6.4 Case 4 -- 6.4.1 Influence of channel dimensions on machine performance -- 6.4.2 Influence of triangular obstructions -- 6.4.3 Effects of change in the channel bed slope -- 6.4.4 Effect of wall gaps -- 6.4.5 Effect of downstream channel dimensions -- 6.5 Discussion: 3D case -- Chapter 7 Discussion -- 7.1 Small hydropower machines -- 7.1.1 Numerical and experimental investigations -- 7.1.2 Conversion efficiencies -- 7.1.3 Full scale model experiments -- 7.2 Other HYLOW project findings -- 7.2.1 Environmental considerations -- 7.2.2 Free stream energy converter -- 7.2.3 Micro-turbines in water pipe networks -- 7.3 Small hydropower in a global context -- 7.3.1 The European perspective -- 7.3.2 The global perspective -- Chapter 8 Conclusions and recommendations -- 8.1 Research Answers -- 8.2 Recommendations -- References -- Acknowledgements. EBL201801 Engineering SzGeCERN EBL Hydroelectric power plants EBL Pumping machinery-Fluid dynamics BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5145772 ebook n 201803 201801 21 PUBLIC https://catalogue.library.cern/legacy/2301044 BOOK MIGRATED 2301035 SzGeCERN 20210421205546.0 9780128135822 electronic version electronic version 9780128135822 print version 9780128135839 electronic version electronic version oai:cds.cern.ch:2301035 cerncds:BOOK EBL 5143552 eng QA402.5.S546 2018 519.29999999999995 Sieniutycz, Stanislaw Optimizing thermal, chemical, and environmental systems San Diego, CA Elsevier Science 2017 454 p ebook "Front Cover" -- "Optimizing Thermal, Chemical, and Environmental Systems" -- "Optimizing Thermal, Chemical, and Environmental Systems" -- "Copyright" -- "Contents" -- "Preface" -- "Acknowledgments" -- "1 - Outline of Classical Optimization Methods" -- "1.1 Applying Mathematical and Engineering Knowledge in Optimization" -- "1.2 Unconstrained Problems for Function of Several Variables" -- "1.3 Equality Constraints and Lagrange Multipliers" -- "1.4 Methods of Mathematical Programming" -- "1.5 Methods of Dynamic Optimization" -- "1.6 Iterative Search Approaches" -- "1.7 Some Stochastic Optimization Techniques" -- "1.7.1 Introduction" -- "1.7.2 Adaptive Random Search Optimization" -- "1.7.3 Genetic Algorithms" -- "1.7.4 Simulated Annealing" -- "1.7.4.1 Acceptance Criterion" -- "1.7.4.2 Initial Simplex Generation" -- "1.7.4.3 Determination of Initial Temperature" -- "1.7.4.4 Temperature Decrease—Cooling Scheme" -- "1.7.4.5 Equilibrium Condition—Point (6) of the General Algorithm" -- "1.7.4.6 Stopping (Convergence) Criterion" -- "1.7.4.7 Control Parameters Settings" -- "1.7.5 Handling Equality Constraints in ARS, GA, and SA" -- "References" -- "Further Reading" -- "2 - Finite Rate Optimization of Steady Thermal Units" -- "2.1 Optimization Syntheses Toward Thermodynamic Limits" -- "2.1.1 Introduction: Aims, Scope, and Basic Notions" -- "2.1.2 Significance of Thermodynamic Analyses" -- "2.1.3 Power Optimization and Finite Resources" -- "2.1.4 Static Limits for Power Yield" -- "2.1.5 Integral Power and Discrete Dynamical Systems" -- "2.1.6 Dynamical Limits, Non-Carnot Efficiencies, and Finite Rate Exergies" -- "2.1.7 Approximate Treatment of Internal Dissipation" -- "2.1.8 Brief Comment on Viscosity Solutions" -- "2.2 Maximizing Power Produced by a Finite Resource at Flow" -- "2.2.1 Characteristics of Steady Systems with Maximum Power". "2.2.2 Discrete Modeling of Unsteady (Dynamical) Systems" -- "2.2.3 Two Basic Works and Finite-Rate Exergies" -- "2.3 Maximizing Cumulative Power" -- "2.3.1 Power Systems Treated by HJB Equations" -- "2.3.2 Systems With Pseudo-Newtonian Kinetics" -- "2.3.3 Potential Functions for Quasilinear Kinetics" -- "2.4 Discussion and Concluding Remarks" -- "References" -- "3 - Neural Networks for Emission Prediction of Dust Pollutants" -- "3.1 Introduction" -- "3.1.1 Significance of Pollution Reduction" -- "3.1.2 Atmospheric Air" -- "3.1.3 Dusts" -- "3.1.4 Quantitative Aspects of Pollution Emission" -- "3.1.4.1 Direct Measurement of Pollution Emission" -- "3.1.4.2 Mathematical Simulations of Pollution Emission" -- "3.1.5 Management of Environmental Protection" -- "3.2 Aims, Scope, and Assumptions" -- "3.3 Experimental Data" -- "3.4 Artificial Neural Networks" -- "3.5 Emission Prediction With Multilayer Perceptron Method" -- "3.6 Working Parameters of the Artificial Neural Network Model" -- "3.7 Prediction Results" -- "3.7.1 Statistical Estimates" -- "3.7.2 Comparison of the Measured and Calculated Values" -- "3.8 Emission Prediction by a Hybrid Model" -- "3.9 Work Parameters of the Radial Base Function Network" -- "3.10 Prediction Results" -- "3.11 Summary and Conclusions" -- "References" -- "4 - Neural Networks—A Review of Applications" -- "4.1 Introduction: General Issues" -- "4.1.1 Artificial Neural Network Modeling of a Solid Oxide Fuel Cell" -- "4.1.2 Review of Central Notions of Artificial Neural Network Theory" -- "4.2 Training, Modeling, and Simulation" -- "4.2.1 Neural Network-Based Dynamic Controller of Proton Exchange Membrane Fuel Cell" -- "4.2.2 Artificial Neural Network Role in Development of Low-Pollution Vehicles" -- "4.2.3 Artificial Neural Network to Predict Solid Oxide Fluid Cell Performance in Residential Spaces". "4.2.4 Modeling the Study and Development of Fuel Cells" -- "4.2.5 Neural Network Modeling of Polymer Electrolyte Membrane Fuel Cell" -- "4.3 Performance Prediction, Optimization, and Related Issues" -- "4.3.1 Genetic Algorithm-Radial Basis Function Neural Network Modeling" -- "4.3.2 Neural Network On-Board Fuel Cell Power Supplier" -- "4.3.3 Neural Network-Based Modeling of Proton Exchange Membrane Fuel Cell and Controller Synthesis" -- "4.3.4 Neural Network Model of Drying and Thermal Degradation" -- "4.3.5 Neural Network Optimization of Energy Systems" -- "4.3.6 Neural Network Model for Fluidized Bed" -- "4.3.7 Neural Network Control of Power of an Fuel Cell" -- "4.3.8 Performance Prediction and Analysis of the Cathode Catalyst Layer" -- "4.3.9 Neural Network Model for a Proton Exchange Membrane Fuel Cells" -- "4.3.10 Artificial Neural Network Capillary Transport Characteristics of Fuel Cell Diffusion Media" -- "4.3.11 Artificial Intelligence Modeling of Fuel Cell Performance" -- "4.3.12 Fuel Cell Applications" -- "4.3.12.1 Artificial Neural Network Simulator for Solid Oxide Fuel Cell Performance" -- "4.3.12.2 Neural Network With Solid Oxide Fuel Cell Control of Power Supply Improvement" -- "4.4 Hybrid and Fuzzy Systems" -- "4.4.1 Neural Network Hybrid Model of Direct Internal Reforming Solid Oxide Fuel Cell" -- "4.4.2 Hybrid Neural Network Model for Proton Exchange Membrane Fuel Cell" -- "4.4.3 Artificial Neural Network of the Mechanical Behavior of Proton Exchange Membrane Fuel Cells" -- "4.4.4 Artificial Neural Network Model of Performance of a Direct Methanol Fuel Cell" -- "4.4.5 Neural Network-Based Quality Control With an Solid Oxide Fuel Cell Plant" -- "References" -- "5 - Uncontrolled Fluid–Solid Systems in Chemistry" -- "5.1 Mass Penetration" -- "5.2 Heterogeneous Process Regimes" -- "5.2.1 Temperature Criterion". "5.2.2 Turbulence Criterion" -- "5.3 Gas–Solid Noncatalytic Reactions" -- "5.3.1 Diffusive Resistance in Laminar Gas Layer, cA csA" -- "5.3.2 Diffusive Resistance in the Layer of Solid Product (csA=cA, ΔcA=cA−csA′)" -- "5.3.3 Chemical Reaction Resistance at the Phase Boundary (csA=cA)" -- "5.3.4 Mixed Diffusional-Kinetic Resistance" -- "5.3.5 Combustion of Clean Coal" -- "5.3.6 Summarizing Remarks" -- "5.4 Kinetic Analysis of Contact (Catalytic) Reactions" -- "5.4.1 Introduction" -- "5.4.2 Physical Properties of Solid Catalysts" -- "5.4.3 Meaning of General Process Rate and Controlling Step" -- "5.5 Kinetics of Surface Process" -- "5.5.1 Introduction" -- "5.5.2 Statics and Kinetics of Sorption and Equation of Surface Kinetics" -- "5.6 External Diffusion" -- "5.6.1 Introduction" -- "5.6.2 Influence of Reagent Concentration and Temperature on the General Rate" -- "5.7 Internal Diffusion" -- "5.7.1 Introduction" -- "5.7.2 Diffusion in Porous Channels and Thiele Modulus" -- "5.7.3 Effectiveness Coefficient of the Contact" -- "5.7.4 Change of Activation Energy and Reaction Order in Internal Diffusion" -- "5.7.5 Internal Diffusion Under Nonisothermal Conditions" -- "5.8 Catalyst Deactivation" -- "5.8.1 Chemical Aspects of Deactivation" -- "5.8.2 Deactivation Kinetics" -- "5.9 Cascades of Tank Reactors" -- "5.10 Reactor With the Product Recycle" -- "5.11 Chemical Networks" -- "References" -- "Further Reading" -- "6 - Maximum Power Yield in Homogeneous Chemical Systems" -- "6.1 Introduction" -- "6.2 Macro-Kinetics of Transport Phenomena and Chemical Reactions" -- "6.3 Equations of Nonlinear Macro-Kinetics" -- "6.4 Correspondence With Classical Chemical Kinetics" -- "6.5 Inclusion of Nonlinear Transport Phenomena" -- "6.6 Continuous Description of Chemical Kinetics and Transport" -- "6.7 Principles of Power Production in Chemical Systems". "6.8 Power Yield in Nonisothermal Chemical Engines" -- "6.9 Nonisothermal Engines in Terms of Carnot Variables" -- "6.10 Entropy Production in Steady Systems" -- "6.11 Dynamical Dissipative Availabilities" -- "6.12 Characteristics of Steady Isothermal Engines" -- "6.13 Plausible Models of Dynamic Power Generators" -- "6.14 Computational Algorithm for the Dynamical Process" -- "6.15 Results of Computations" -- "6.16 Some Additional Comments" -- "6.17 Complex Systems With Internal Dissipation" -- "References" -- "Further Reading" -- "7 - Maximum Conversion in Processes With Chemical Reactions" -- "7.1 Optimal Temperature Profile for a Single Reversible Chemical Reaction" -- "7.1.1 Physicochemical Background of Optimization" -- "7.1.2 Maximum Conversion in a Tubular or Batch Reactor" -- "7.1.3 Discrete Setting of the Maximum Conversion for a Cascade" -- "7.1.4 Discussion I" -- "7.2 Optimization of Consecutive Reactions in a Batch or Tubular Reactor" -- "7.2.1 Problem Analysis and Formulation" -- "7.2.2 Discussion II" -- "7.3 Parallel and Consecutive-Parallel Reactions in a Tubular or Batch Reactor" -- "7.3.1 Parallel Reactions" -- "7.3.2 Discussion III" -- "7.3.3 Consecutive-Parallel Reactions" -- "References" -- "Further Reading" -- "8 - Reactors With Catalyst Decay and Regeneration" -- "8.1 Mathematical Model for Kinetics of Reaction and Deactivation" -- "8.2 Optimal Temperature Strategy for Single Catalytic Reaction in a Batch Reactor and Moving Bed Reactors" -- "8.2.1 General Remarks" -- "8.2.2 Common Set of Equations and Formulation of the Problem" -- "8.2.3 Method of Elimination of Adjoint Variables" -- "8.2.4 Optimality Conditions for Reaction and Catalyst Deactivation" -- "8.2.5 Properties of Stationary Profiles of Optimal Activity, Concentration, and Temperature" -- "8.2.6 Problem With Constrained Temperature". "8.3 Tubular Reactor With Fixed Catalyst Bed and Optimal Reaction–Regeneration Cycle". EBL201801 Mathematical Physics and Mathematics SzGeCERN BOOK Szwast, Zbigniew https://cds.cern.ch/auth.py?r=EBLIB_P_5143552 ebook n 201803 201801 21 PUBLIC https://catalogue.library.cern/legacy/2301035 BOOK MIGRATED 2301008 SzGeCERN 20210421205550.0 9780128121498 electronic version electronic version 9780128121498 print version 9780128123232 electronic version electronic version oai:cds.cern.ch:2301008 cerncds:BOOK EBL 5123307 eng TK2950.R673 2018 621.31244000000004 Rosa-Clot, Marco Submerged and floating photovoltaic systems modelling, design and case studies Saint Louis, MO Elsevier Science 2017 254 p ebook Front Cover -- Submerged and Floating Photovoltaic Systems: Modelling, Design and Case Studies -- Copyright -- Contents -- Acknowledgment -- Chapter 1: Introduction -- 1. Renewable Energy Penetration -- 2. Floating and Submerged PV Plants: Where? -- 2.1. Freshwater Surfaces -- 2.2. Seawater -- 3. The Advantages of PV on Water: Land Saving, Cooling, Tracking, and Storage -- 4. Costs and Future Trends -- 5. Conclusions -- References -- Chapter 2: Photovoltaic Electricity -- 1. Introduction -- 2. Solar Energy Source -- 3. Solar Position and Local Time -- 4. Solar Radiation Components -- 5. Albedo -- 6. Irradiance Databases -- 6.1. NASA Database -- 6.2. PVGIS Database -- 7. Radiation Harvesting by a PV Plant -- 8. Conclusion -- References -- Chapter 3: Introduction to PV Plants -- 1. Introduction -- 2. Photovoltaic Effect -- 3. Spectral Response of a PV Module -- 4. The Equivalent Circuit for a PV Cell and Module -- 5. Temperature and Irradiance Impact on I-V and P-V Curves -- 6. The DC/DC and DC/AC Conversion Systems and PV Plant Schemes -- 7. Electrical Components and Grounding -- 7.1. Electric Shock of a Person Totally or Partially Immersed in Water -- 7.2. General Grounding System -- 7.3. Grounding of the PV System -- 8. Photovoltaic System Configurations -- 9. Photovoltaic Technologies -- References -- Chapter 4: Submerged PV Systems -- 1. Introduction -- 2. The Electromagnetic Property of Water -- 3. Optical Gains in a Submerged PV Modulus -- 4. Thermal Drift -- 5. Test of Submerged Panel -- 6. Submerged Modules -- References -- Chapter 5: The Floating PV Plant -- 1. Introduction -- 2. The Floating Structures: The First Pioneering Solutions -- 2.1. Pontoons -- 2.2. Modular Raft in Galvanized Steel -- 2.3. Plastic Rafts -- 3. The Raft/Pontoon Design -- 4. Optimization for a Plant Fixed or With Tracking -- 5. Water Cooling. 5.1. Water Veil Cooling -- 5.2. Sprinklers -- 5.3. Cleaning and Panel Cycle of Life -- 6. Mooring System -- 6.1. Mooring for a Fixed Plant -- 6.2. Mooring of the System With Tracking -- 7. The Wind Load and Waves -- 7.1. A Simplified Analysis -- 7.2. Simulations -- 7.3. Waves -- 8. The Tracking System -- 8.1. Tracking With Confinement -- 8.2. Tracking Without Confinement: Rope System -- 8.3. Tracking Without Confinement: Submerged Structure -- 8.4. Tracking Without Confinement: Bow Thrusters -- 8.5. Solar Alignment System and Tracking Safety System -- 8.6. Test of Tracking System -- 9. Off-Shore Systems and a Specific Raft Concept -- References -- Chapter 6: Concentration Systems and Floating Plants -- 1. Introduction -- 2. Flat Reflector on the Rear of a PV Module -- 3. Flat Reflectors in a V-Shaped Position -- 4. Reflector V-Shaped Geometry -- 4.1. Real World: Azimuth Alignment -- 4.2. Real World: Mirror Reflectance and Diffuse Light -- 5. Test of Reflectors -- 6. Parabolic Concentrators -- 7. Bifacial Modules -- References -- Chapter 7: Storage Systems and Floating Plants -- 1. Introduction -- 2. GES Systems -- 2.1. Traditional Gravity Systems and Hydroelectric Plants -- 2.2. Shallow Water GES -- 2.2.1. Artificial Atoll: The DEME Project (by Courtesy of DEME Company) -- 2.2.2. Large Basins With Low Weirs -- 2.3. Deep Water GES -- 2.3.1. DOGES -- 2.3.2. Heavy Weights (by courtesy of MGH company) -- 3. Isothermal Compressed Air Energy Storage -- 3.1. The Raft as Reservoir for ICAES -- 3.2. Full-Range Isothermal Compression -- 3.3. Heat Exchange and Critical Aspects -- 3.4. Reduced-Range Isothermal Compression -- 3.5. Hydraulic ICAES -- References -- Chapter 8: Floating Plants and Environmental Aspects -- 1. Introduction -- 2. The Geographic Technical Potential -- 2.1. Factor αsw for Floating Plants -- 2.2. Water Surfaces Availability. 2.3. Floating Panel Structures and PF -- 3. Floating Photovoltaic Plants and the Evaporation Problem -- 3.1. Evaporation Model -- 3.2. Example of Floating PV Plants Siting -- 3.2.1. Adelaide: The Bolivar Basin -- 4. Algae Bloom Control -- 4.1. Air-Flotation -- 4.2. Continuous Laminar Flow and Oxygenation -- 4.3. Sonication -- 5. Control of Water and PV Plant -- 6. Flora and Fauna in Basins With FPV Plants -- References -- Chapter 9: Integration of Water-Based PV Systems -- 1. Introduction -- 2. The Hydroelectric System and the Coupling to Floating PV Technology -- 3. Floating Roundabout Solar Tracking -- 3.1. The Floating Solution -- 3.2. Some Possible Locations -- 4. Thermal Electric Solar Panel Integration -- 5. Photovoltaic Swimming Pool -- 5.1. Overflow and Skimmer Swimming Pool -- 5.2. Swimming Pool With Heat Storage Tank -- 6. Architectural Design and Building Integration -- References -- Appendix 1: Nomenclature -- Index. EBL201801 Engineering SzGeCERN BOOK Tina, Giuseppe Marco https://cds.cern.ch/auth.py?r=EBLIB_P_5123307 ebook n 201803 201801 21 PUBLIC https://catalogue.library.cern/legacy/2301008 BOOK MIGRATED 2300998 SzGeCERN 20210421205552.0 9780128128862 electronic version electronic version 9780128128862 print version 9780128129333 electronic version electronic version oai:cds.cern.ch:2300998 cerncds:BOOK EBL 5122258 eng TF863.W8 2018 621.33000000000004 Wu, Jiqin Pantograph and contact line system San Diego, CA Elsevier Science 2017 382 p ebook High-speed railway "Cover" -- "Title page" -- "Copyright" -- "Contents" -- "Foreword" -- "Preface" -- "Chapter 1 - Introduction" -- "1.1 - Overview" -- "1.2 - Origin and development of pantograph and overhead contact line systems" -- "1.2.1 - Origin of Pantograph and Overhead Contact Line Systems" -- "1.2.2 - Development of Pantograph and Overhead Contact Line Systems" -- "1.2.2.1 - Shinkansen" -- "1.2.2.2 - AC railway in France" -- "1.2.2.3 - German railway" -- "1.2.2.4 - Chinese railway" -- "1.3 - Requirement and specification of pantograph and overhead contact line systems" -- "1.3.1 - Geometrical Requirement" -- "1.3.2 - Mechanical Requirement" -- "1.3.3 - Material Requirement" -- "1.3.4 - Electrical Requirement" -- "1.3.5 - Environmental Requirement" -- "1.3.6 - Operation and Maintenance Requirement" -- "1.4 - Core issues of pantograph and overhead contact line systems and the framework of this book" -- "Brief summary" -- "Chapter 2 - Pantograph" -- "2.1 - Overview" -- "2.2 - Basic structure of pantograph" -- "2.2.1 - Pantograph Head" -- "2.2.2 - Frame" -- "2.2.3 - Base Frame" -- "2.2.4 - Drive System" -- "2.3 - Characteristics of pantographs" -- "2.3.1 - Electric Performance" -- "2.3.2 - Static Contact Force" -- "2.3.3 - Aerodynamic Force" -- "2.3.4 - Component of Dynamic Contact Force" -- "2.3.5 - Contact Force" -- "2.3.6 - Average Uplift Force" -- "2.3.7 - Dynamic Characteristics" -- "2.4 - Main test of pantograph" -- "2.5 - Application and development of pantographs in Chinese railways" -- "2.5.1 - Low-Speed Stage" -- "2.5.2 - Middle-Speed Stage" -- "2.5.3 - High-Speed Stage" -- "2.6 - Application of pantographs in urban rail transit" -- "Brief summary" -- "Chapter 3 - Geometric Properties of Pantographs and Contact Lines" -- "3.1 - Overview" -- "3.2 - Gauge" -- "3.3 - Pantograph and contact line areas" -- "3.4 - Geometric properties of pantographs". "3.4.1 - Operating Range of Pantograph" -- "3.4.2 - Geometric Profile of Pantograph Head" -- "3.4.3 - Dynamic Envelope of Pantograph" -- "3.5 - Geometric properties of overhead contact lines" -- "3.5.1 - Lateral Shift of Contact Wire at Registration Point" -- "3.5.1.1 - Arrangement of contact wire relatively to longitudinal centerline of head" -- "3.5.1.2 - Confirmation of lateral position" -- "3.5.2 - Lateral Shift of Contact Wire Under Side Wind" -- "3.5.2.1 - Lateral offset of linear section" -- "3.5.2.2 - Lateral offset of curve section" -- "3.5.2.3 - Lateral offset of overhead catenary suspension" -- "3.5.3 - Height of Contact Wire" -- "3.5.3.1 - Minimum height of contact wire" -- "3.5.3.2 - Minimum design height of contact wire" -- "3.5.3.3 - Maximum design height of contact wire" -- "3.5.3.4 - Nominal height of contact wire" -- "3.5.4 - Slope of Contact Wire" -- "3.5.5 - Steady Arm and Its Working State" -- "3.5.6 - Tension Length and Overlap" -- "3.5.7 - Contact Line Above Turnout" -- "3.5.8 - Neutral Section" -- "3.5.8.1 - Layout of neutral section" -- "3.5.8.2 - Layout of pantograph on vehicle" -- "3.6 - Geometrical characteristics of pantographs and contact lines on typical high-speed railways" -- "Brief summary" -- "Chapter 4 - Dynamic Interaction Between Pantograph and Contact Line" -- "4.1 - Overview" -- "4.2 - Elasticity and nonuniformity coefficient of elasticity of contact line" -- "4.3 - Dynamic property of contact line" -- "4.3.1 - Propagation of Vibration Along Contact Wire" -- "4.3.2 - Oscillatory Differential Equation of Contact Wire" -- "4.3.3 - Fluctuation Propagation Speed" -- "4.3.4 - Wave Reflection" -- "4.3.4.1 - Reflection of wave at concentrated mass" -- "4.3.4.2 - Reflection of wave at dropper" -- "4.3.5 - Doppler Coefficient" -- "4.3.6 - Amplification Coefficient" -- "4.3.7 - Natural Frequency of Catenary Suspension". "4.3.8 - Dynamic Property of Typical Contact Line Design" -- "4.4 - Requirement for dynamic interaction between pantograph and contact line" -- "4.4.1 - Uplift of Contact Wire" -- "4.4.2 - Pantograph and Overhead Contact Line Contact Force" -- "4.4.3 - Dynamic Interaction Between Pantograph and Contact Line With Double Pantograph" -- "4.5 - Measurement requirements for dynamic interaction between pantograph and contact line" -- "4.5.1 - Measurement Requirements of Pantograph and Overhead Contact Line Contact Force" -- "4.5.1.1 - Basic requirements" -- "4.5.1.2 - Impact of measurement system on pantograph" -- "4.5.1.3 - Calibration of measurement system" -- "4.5.1.4 - Measurement parameters and results" -- "4.5.2 - Requirements for Displacement Measurement" -- "4.5.3 - Requirements for Arc Measurement" -- "4.5.3.1 - Basic requirements" -- "4.5.3.2 - Calibration of arc measurement system" -- "4.5.3.3 - Adjustment of working distance" -- "4.5.3.4 - Data to be measured and indication" -- "4.6 - Simulation requirement for dynamic interaction between pantograph and contact line" -- "4.6.1 - Purpose and Target" -- "4.6.2 - Pantograph Model" -- "4.6.3 - Contact Line Model" -- "4.6.4 - Simulation Parameters" -- "4.6.5 - Output" -- "4.6.6 - Verification of Simulation System" -- "4.6.7 - Reference Model" -- "Brief summary" -- "Chapter 5 - Material Interface of Pantograph and Contact Line" -- "5.1 - Overview" -- "5.2 - Performance of contact material" -- "5.2.1 - Mechanical Performance" -- "5.2.1.1 - Strength and plasticity" -- "5.2.1.2 - Hardness" -- "5.2.1.3 - Fracture resistance and toughness" -- "5.2.1.4 - Fatigue property and abrasive resistance" -- "5.2.2 - Electrical Performance" -- "5.2.3 - Thermal Performance" -- "5.2.3.1 - Specific heat capacity" -- "5.2.3.2 - Thermal expansion" -- "5.2.3.3 - Heat conduction" -- "5.2.3.4 - Heat resistance". "5.3 - Pantograph strip" -- "5.3.1 - Pure Metal Strip" -- "5.3.3.1 - Steel strip" -- "5.3.3.2 - Copper strip" -- "5.3.2 - Powder Metallurgy Strip" -- "5.3.3 - Pure Carbon Strip" -- "5.3.4 - Metal-Impregnated Carbon Strip" -- "5.4 - Contact wire" -- "5.4.1 - Copper and Copper Alloy Contact Wire" -- "5.4.1.1 - Specification of copper and copper alloy contact wire" -- "5.4.1.2 - Property of copper and copper alloy contact wire" -- "5.4.2 - Composite Contact Wire" -- "5.4.2.1 - Aluminum-coated steel contact wire" -- "5.4.2.2 - Copper-coated steel contact wire" -- "5.5 - Material combination of strip and contact wire" -- "5.5.1 - Matching Between Strip and Contact Wire" -- "5.5.2 - Factors Influencing Abrasion of Contact Wire" -- "Brief summary" -- "Chapter 6 - Electric Contact Properties of Pantograph and Contact Line" -- "6.1 - Overview" -- "6.2 - Static electric contact between pantograph and contact line" -- "6.2.1 - Properties of Static Electric Contact" -- "6.2.2 - Static Contact Resistance" -- "6.2.3 - Factors Influencing Static Contact Resistance" -- "6.2.3.1 - Properties of contact material" -- "6.2.3.2 - Contact form of pantograph and contact line" -- "6.2.3.3 - Pantograph and overhead contact line contact force" -- "6.2.3.4 - Condition of contact face between strip and contact wire" -- "6.2.4 - Steady-State Thermal Effect of Pantograph and Contact Line" -- "6.3 - Static electric contact test" -- "6.3.1 - Test Process and Data" -- "6.3.2 - Analysis on Test Data" -- "6.3.3 - Special Phenomenon in Test" -- "6.3.4 - Calculation of Static Electric Contact Parameters" -- "6.4 - Sliding electric contact" -- "6.4.1 - Mathematical Model of Transient Heat Conduction" -- "6.4.2 - Pantograph and Overhead Contact Line Transient Heat Effect Generated by Starting Current". "6.4.3 - Pantograph and Overhead Contact Line Transient Heat Effect Generated by Short-Circuit Current" -- "6.4.4 - Strip Heating During Current Collection by Pantograph" -- "6.5 - Open–close contact" -- "6.5.1 - Basic Properties of Arc" -- "6.5.2 - Cause of Electric Spark or Arc in Pantograph and Contact Line" -- "6.5.2.1 - Electric spark in sliding contact" -- "6.5.2.2 - Electric arc in sliding contact" -- "6.5.2.3 - Electric spark or arc in pantograph rising and dropping" -- "6.5.2.4 - Arc generated when pantograph passes through electrical sectioning of contact line" -- "6.5.2.4.1 - Pantograph Passes Through Insulated Overlap" -- "6.5.2.4.2 - Pantograph Passes Through Insulated Overlap Phase Separation" -- "6.5.2.4.3 - Pantograph Passes Through Section Insulator" -- "6.5.2.5 - Arc generated when foreign matter exists on strip or contact wire surface" -- "6.5.2.6 - Arc generated on wavy surface of contact wire" -- "6.5.2.7 - Arc generated when contact wire has mounting defect" -- "6.5.3 - Thermal Analysis of Arc Erosion on Contact Wire" -- "6.5.3.1 - Mathematical model of arc-to-contact wire heat conduction" -- "6.5.3.2 - Simulation result and analysis" -- "6.5.3.2.1 - Temperature Rise of Contact Wire Caused by Stationary Arc" -- "6.5.3.2.2 - Temperature Rise of Contact Wire Caused by Moving Arc" -- "6.5.4 - Arc Phenomenon of High-Speed Pantograph and Overhead Contact Line System" -- "6.6 - Friction abrasion mechanism of pantograph and contact line" -- "Brief summary" -- "Chapter 7 - Design and Construction of Pantograph and Contact Line Systems" -- "7.1 - Overview" -- "7.2 - Basic pantograph requirements" -- "7.3 - Basic requirements on contact line" -- "7.4 - System design of pantograph and contact line" -- "7.4.1 - System Parameter Calculation for Contact Line" -- "7.4.2 - Simulation of Dynamic Interaction Between Pantograph and Contact Line". "7.4.2.1 - Parameters of pantograph". EBL201801 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5122258 ebook n 201803 201801 21 PUBLIC https://catalogue.library.cern/legacy/2300998 BOOK MIGRATED 2300993 SzGeCERN 20210421205553.0 9781119476573 1119476577 9781786301512 oai:cds.cern.ch:2300993 cerncds:BOOK SAFARI 9781786301512 eng TK5105.8857.I584 2017 4.6779999999999999 Saleh, Imad Internet of Things evolutions and innovations Newark, NJ John Wiley & Sons 2017 251 p ebook "Cover" -- "Half-Title Page" -- "Title Page" -- "Copyright Page" -- "Contents" -- "Introduction" -- "1. The IoT: Intrusive or Indispensable Objects?" -- "1.1. Introduction" -- "1.2. The age of miniaturization and technological progress" -- "1.3. The history of a digital ecosystem" -- "1.4. Internet of Things, which definition?" -- "1.5. The security of connected objects: the risks and the challenges" -- "1.6. Protocols, standards and compatibility: toward a technological convergence" -- "1.6.1. The origins of some norms and standards" -- "1.7. Humanity, intelligence and technologies" -- "1.7.1. Crowdfunding as an aid to innovation" -- "1.7.2. Participatory environmental sensors and citizens" -- "1.7.3. When digital art goes into connected mode" -- "1.7.4. Home automation for a connected and communicating habitat" -- "1.7.5. Connected objects, a step toward the enhanced human" -- "1.8. Conclusion" -- "1.9. Bibliography" -- "2. The Ecosystem of the Internet of Things" -- "2.1. Introduction" -- "2.2. Context, convergences and definition" -- "2.2.1. The Internet Toaster or the first connected object in history" -- "2.2.2. From the Internet of computers…" -- "2.2.3. … to the Internet of objects" -- "2.3. Conclusion" -- "2.4. Bibliography" -- "3. Introduction to the Technologies of the Ecosystem of the Internet of Things" -- "3.1. Architectures recommended by the Internet Architecture Board" -- "3.1.1. Communication between objects" -- "3.1.2. Communication from objects to the Cloud" -- "3.1.3. Communication from objects to a gateway" -- "3.1.4. From objects to back-end data sharing" -- "3.2. Three-tier architecture" -- "3.2.1. Layered architecture" -- "3.3. Steps and technologies in the ecosystem of the IoT" -- "3.3.1. Identifying" -- "3.3.2. Capturing" -- "3.3.3. Connecting" -- "3.3.4. Integrating" -- "3.3.5. Networking". "3.4. Opportunities and threats in the IoT ecosystem" -- "3.4.1. Opportunities" -- "3.4.2. Threats" -- "3.5. Conclusion" -- "3.6. Bibliography" -- "4. Toward a Methodology of IoT-a: Embedded Agents for the Internet of Things" -- "4.1. Introduction" -- "4.2. Multi-agent simulations, ambient intelligence and the Internet of Things" -- "4.3. Triskell3S: an architecture of embedded agent-oriented interactions" -- "4.4. Transposition of the formalization of agent-oriented interaction to connected objects" -- "4.5. Formalization" -- "4.6. Experimentation and perspectives" -- "4.7. Bibliography" -- "5. The Visualization of Information of the Internet of Things" -- "5.1. Introduction" -- "5.2. Internet of Things" -- "5.3. InfoVis and DataVis in the Internet of Things" -- "5.3.1. Visual analytics in the context of the Internet of Things" -- "5.4. Analytical visualization in the context of the Internet of Things" -- "5.5. Conclusion: the relevance of the use of visualization in the Internet of Things" -- "5.6. Bibliography" -- "6. The Quantified Self and Mobile Health Applications: From Information and Communication Sciences to Social Innovation by Design" -- "6.1. Introduction" -- "6.2. The evolution of interfaces and connected objects toward anthropotechnics " -- "6.2.1. From e-health to the “Quantified Self”" -- "6.2.2. Anthropotechnics and the information ecosystem of Chris Dancy" -- "6.2.3. Connected objects as the heirs of ubiquitous computing" -- "6.3. Factitive dimension and value system at the heart of Chris Dancy’s relationship with his information technology" -- "6.3.1. The progressive development of the figure of the enhanced human in socio-digital networks" -- "6.3.2. Information design and data-visualization: the case of Fitbit and Existence" -- "6.3.3. Animism and anthropomorphism: a particular relationship to connected objects". "6.4. Critical perspective and avenues for reflection for reconsidering the use of connected objects and mobile applications in the field of health" -- "6.4.1. Ethical and social issues related to data governance" -- "6.4.2. The doctor-patient relationship transformed by connectedo bjects and mobile health applications" -- "6.4.3. The necessity of considering the point of view of doctorsand healthcare professionals" -- "6.4.4. Envisaging other paths for m-health technologies basedon the anthropology of communication and social innovation by design" -- "6.5. Conclusion" -- "6.6. Bibliography" -- "7. Tweets from Fukushima: Connected Sensors and Social Media for Dissemination after a Nuclear Accident" -- "7.1. Introduction" -- "7.2. The IoT: a shift in the development of digital services" -- "7.3. Social media and the dissemination of information during a catastrophe" -- "7.4. Context of the study" -- "7.5. Goals of our study" -- "7.6. Methodology" -- "7.7. Results" -- "7.7.1. Comprehensive overview" -- "7.7.2. Popularity of bots" -- "7.7.3. Completeness of the shared measurements" -- "7.7.4. Source of the measurements shared" -- "7.8. Discussions" -- "7.9. Conclusions" -- "7.10. Acknowledgements" -- "7.11. Bibliography" -- "8. Connected Objects: Transparency Back in Play" -- "8.1. Introduction" -- "8.2. Sensitive objects" -- "8.3. The myth of transparency" -- "8.4. Transparency of interfaces and opacity of processes" -- "8.5. Conclusion" -- "8.6. Bibliography" -- "9. Status of the Body within the Internet of Things: Revolution or Evolution?" -- "9.1. Introduction" -- "9.2. Presence and absence of the body in the field of sports and e-health" -- "9.3. The traceability of the body or the integration of data by a digital coach" -- "9.4. The IoT creates a flow of information around the body: a present, readable and traceable cluster". "9.5. The body in interaction: sharing Clouds to inform the informational environment" -- "9.6. Clouds, persistence and trust: a mapped body without the right to be forgotten" -- "9.7. The body, an object communicating between hyper-control and non-control" -- "9.8. Conclusion" -- "9.9. Bibliography" -- "List of Authors" -- "Index" -- "Other titles from iSTE in Information Systems, Web and Pervasive Computing". SAF201805 EBLlink deleted Other Subjects SzGeCERN BOOK Bouhaï, Nasreddine https://learning.oreilly.com/library/view/-/9781786301512/?ar ebook n 201803 201801 21 PUBLIC https://catalogue.library.cern/legacy/2300993 BOOK MIGRATED 2300986 SzGeCERN 20210421205554.0 9780081020494 electronic version electronic version 9780081020494 print version 9780081020500 electronic version electronic version oai:cds.cern.ch:2300986 cerncds:BOOK EBL 5118540 eng TK9203.W37.M384 2018 621.48310000000004 Guzonas, David Materials and water chemistry for supercritical water-cooled reactors Kent Elsevier Science 2017 280 p ebook "Front Cover" -- "Materials and Water Chemistry for Supercritical Water-cooled Reactors" -- "Related titles" -- "Materials and Water Chemistry for Supercritical Water-cooled Reactors" -- "Copyright" -- "Contents" -- "Acknowledgements" -- "List of abbreviations" -- "1 - Introduction" -- "1.1 Early efforts" -- "1.2 Recent developments" -- "1.2.1 Synergies" -- "1.3 Supercritical water-cooled reactor materials requirements" -- "1.3.1 Candidate materials" -- "1.4 Summary" -- "References" -- "2 - Experimental methodologies" -- "2.1 Test facilities for corrosion and environmentally assisted cracking studies" -- "2.2 Test specimens" -- "2.2.1 Galvanic effects" -- "2.3 Corrosion rate measurements" -- "2.3.1 Surface finish" -- "2.3.2 Weight gain versus weight loss" -- "2.3.2.1 Reproducibility" -- "2.3.3 Electrochemical methods" -- "2.3.4 Other in situ analyses" -- "2.4 Measurements of thermodynamic properties" -- "2.5 Stress corrosion cracking" -- "2.6 Testing under irradiated conditions" -- "2.6.1 Materials testing" -- "2.6.2 Water radiolysis studies" -- "References" -- "3 - Radiation effects and mechanical properties" -- "3.1 Primary radiation damage" -- "3.2 Effects on mechanical properties" -- "3.2.1 Hardening" -- "3.2.2 Ductility" -- "3.2.3 Irradiation-assisted stress corrosion cracking" -- "3.2.4 Void swelling" -- "3.3 Effects on microchemistry: radiation-induced segregation" -- "3.4 Creep" -- "3.4.1 Introduction" -- "3.4.2 Predicting creep" -- "3.4.3 Irradiation-assisted creep" -- "3.5 Microstructural instability" -- "3.5.1 Microstructural instability due to high temperature exposure" -- "3.5.2 Formation of precipitates due to radiation exposure" -- "3.6 Modelling" -- "References" -- "4 - Water chemistry" -- "4.1 Introduction" -- "4.1.1 What is supercritical water?" -- "4.2 Feedwater chemistry". "4.2.1 Transport of corrosion products and other impurities" -- "4.2.2 Transport of other impurities to the core" -- "4.3 Activity transport" -- "4.3.1 Activation of in-core materials" -- "4.3.2 Defected fuel in a supercritical water-cooled reactor" -- "4.3.2.1 Plant experience and experimental data" -- "Noble gases and iodines" -- "Fuel leaching tests" -- "4.4 Water radiolysis" -- "4.4.1 Approaches to modelling" -- "4.4.1.1 Microscopic models" -- "4.4.1.2 Semiempirical modelling" -- "4.4.1.3 Large-scale loop or in-reactor studies" -- "4.5 Chemistry control in a supercritical water-cooled reactor" -- "4.6 Molecular dynamics simulations" -- "References" -- "5 - Corrosion" -- "5.1 Introduction" -- "5.1.1 Performance criteria" -- "5.2 Alloy composition" -- "5.2.1 Zr-based alloys" -- "5.2.2 Ti-based alloys" -- "5.3 Effects of key parameters" -- "5.3.1 Temperature" -- "5.3.2 Surface finish and grain size" -- "5.3.3 Water chemistry" -- "5.3.3.1 pH" -- "5.3.3.2 Dissolved oxygen" -- "5.3.3.3 Supercritical water pressure/density" -- "Near-critical region" -- "High T region" -- "5.3.4 Flow rate" -- "5.3.5 Heat transfer" -- "5.3.6 Ageing" -- "5.3.7 Irradiation" -- "5.4 Oxide morphology" -- "5.4.1 Ferritic–martensitic steels" -- "5.4.2 Austenitic steels" -- "5.4.3 Ni-based alloys" -- "5.4.4 Coatings" -- "5.5 Oxide growth kinetics" -- "5.6 Mechanisms and modelling" -- "5.6.1 Empirical and phenomenological models" -- "5.6.2 Deterministic models" -- "References" -- "6 - Environmentally assisted cracking" -- "6.1 Introduction" -- "6.2 Effects of key variables" -- "6.2.1 Environmental factors" -- "6.2.1.1 Temperature" -- "6.2.1.1.1 Near-critical region – the effect of supercritical water density" -- "6.2.1.1.2 High Temperature Behaviour" -- "6.2.1.2 Water chemistry" -- "6.2.2 Material factors" -- "6.2.3 Mechanical factors" -- "6.2.3.1 Irradiation factors". "6.3 Mechanisms and modelling" -- "References" -- "Index" -- "A" -- "B" -- "C" -- "D" -- "E" -- "F" -- "G" -- "H" -- "I" -- "J" -- "L" -- "M" -- "N" -- "O" -- "P" -- "R" -- "S" -- "T" -- "U" -- "V" -- "W" -- "Y" -- "Z". EBL201801 Engineering SzGeCERN BOOK Novotny, Radek Pentilla, S Toivonen, Aki Zheng, Wenyue https://cds.cern.ch/auth.py?r=EBLIB_P_5118540 ebook n 201803 201801 21 PUBLIC https://catalogue.library.cern/legacy/2300986 BOOK MIGRATED 2300972 SzGeCERN 20200503231954.0 9780815373872 electronic version electronic version 9780815373872 print version 9781351243155 electronic version electronic version oai:cds.cern.ch:2300972 cerncds:BOOK EBL 5111105 eng T58.5.R434 2018 4 Wójcik, Waldemar Recent advances in information technology Milton CRC Press 2017 278 p ebook "Cover" -- "Half Title" -- "Title Page" -- "Copyright Page" -- "Table of Contents" -- "Preface" -- "CHAPTER 1: SECURITY ESTIMATES UPDATING OF ASYMMETRIC CRYPTOSYSTEMS FOR MODERN COMPUTING" -- "1.1. The effectiveness of different computational models for numbers factorization" -- "1.2. Rho-pollard algorithm" -- "1.3. Selecting crypto parameters" -- "1.4. Distribution and amount of strong primes" -- "1.5. Features of factorization algorithm elaboration for cloud computing" -- "1.6. Conclusions" -- "CHAPTER 2: GAME PROBLEMS OF CONTROL FOR FUNCTIONAL-DIFFERENTIAL SYSTEMS" -- "2.1. Problem statement, time of the “first absorption”" -- "2.2. Sufficient conditions for the game termination" -- "2.3. Integro-differential approach" -- "2.4. Example of the integro-differential game approach" -- "2.5. Quasilinear positional integral games approach" -- "2.6. Case of the pursuit problem" -- "2.7. Connection of integral and differential games of approach" -- "2.8. Positional control in differential-difference games" -- "2.9. Time of the “first absorption” in the linear nonstationary differential game" -- "2.10. Conflict-controlled impulse systems" -- "2.11. Game problems for processes with fractional derivatives" -- "CHAPTER 3: INFORMATION TECHNOLOGY FOR AUTOMATED TRANSLATION FROM INFLECTED LANGUAGES TO SIGN LANGUAGE" -- "3.1. Theoretical principles of automated translation system design" -- "3.2. Algorithmic models of automated information technology of translation from inflectional language to sign language" -- "3.3. Experimental testing of informational technology of translation from Ukrainian to sign language" -- "3.4. Conclusion" -- "CHAPTER 4: INTEROPERABILITY OF THE HEALTH CARE INFORMATION RESOURCES" -- "4.1. Strategy for his development" -- "4.2. The FHIR specification concept" -- "4.3. Integrating the healthcare enterprise". "4.4. Technology integration of the information resources" -- "4.5. Ehealth resource server" -- "4.6. Vital sign representation framework" -- "4.7. Conclusions" -- "CHAPTER 5: INDEPENDENT DEVICES AND WIRELESS SENSOR NETWORKS FOR AGRICULTURE AND ECOLOGICAL MONITORING" -- "5.1. State of the art" -- "5.2. Principles of device operation" -- "5.3. Portable device “Floratest”" -- "5.4. Creating main application software" -- "5.5. Contract manufacture" -- "5.6. Optical sensor testing" -- "5.7. Application of the “Floratest” device in agriculture and ecological monitoring" -- "5.8. Distributed data acquisition system" -- "5.9. Wireless sensor network" -- "5.10. Multilevel sensor network" -- "CHAPTER 6: THE MATHEMATICAL PROBLEMS OF COMPLEX SYSTEMS INVESTIGATION UNDER UNCERTAINTIES" -- "6.1. Global change as main generators of new risks" -- "6.2. Complex environmental, economic and social systems" -- "6.3. Complex biological systems" -- "6.4. Conclusions" -- "CHAPTER 7: STUDY OF THE IMPACT OF THE TECHNICAL STATE OF THE TRANSFORMERS WITH THE LTC ON THE PARAMETERS OF THE EES MODES OPTIMAL CONTROL" -- "7.1. Materials and results of the research" -- "7.2. Determination of current technical state of power transformers" -- "7.3. Account of the forecast current value of residual resource of the transformers in the process of optimal control of micronetworks modes" -- "7.4. Conclusions". EBL201801 Other Subjects SzGeCERN BOOK Sikora, Jan https://cds.cern.ch/auth.py?r=EBLIB_P_5111105 ebook n 201803 201801 21 PUBLIC BOOK DELETED 2300971 SzGeCERN 20210421205556.0 9781498745444 electronic version electronic version 9781498745444 print version 9781498745451 electronic version electronic version oai:cds.cern.ch:2300971 cerncds:BOOK eng TK1007.C668 2018 621.31/7 Das, J C Load flow optimization and optimal power flow Boca Raton, FL CRC Press 2017 528 p ebook Power systems handbook 2 Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Series Preface -- Preface to Volume 2: Load Flow Optimization and Optimal Power Flow -- Author -- 1. Load Flow—Fundamental Concepts -- 1.1 Security Assessments -- 1.2 Control Actions -- 1.3 Consumer Loads -- 1.3.1 Maximum Demand -- 1.3.2 Load Factor -- 1.3.3 Diversity Factor -- 1.4 Load Types -- 1.4.1 Load Characteristics -- 1.5 Effect on Equipment Sizing -- 1.6 Regression Analysis -- 1.6.1 Linear Trend -- 1.6.2 Exponential Trend -- 1.7 Curve Fitting—Least Square Line -- 1.8 Load Estimation and Projection in Distribution Systems -- 1.8.1 Small-Area Forecasting -- 1.8.2 Spatial Forecast Methods -- 1.9 Load Forecasting Methods -- 1.9.1 Analytical Methods: Trending -- 1.9.2 Spatial Trending -- 1.9.3 Multivariate Trending -- 1.9.4 Land-Use Simulations -- 1.9.5 Nonanalytical Methods -- 1.10 Iterative Nature of Load Flow Problem -- References -- 2. Automatic Generation and Frequency Control—AGC and AFC -- 2.1 Fundamental Concepts -- 2.2 Control Centers -- 2.2.1 Scheduling and Forecasting -- 2.2.1.1 Hourly Interchange -- 2.2.1.2 Unit Commitment -- 2.2.1.3 Transmission and Generator Maintenance Scheduling -- 2.3 Controls in Real Time -- 2.3.1 AGC and LFC -- 2.3.2 System Monitoring -- 2.3.3 Performance Analysis -- 2.3.4 Operating Constraints -- 2.3.5 Direct Control -- 2.4 Past Data Logging -- 2.5 Deregulated Market -- 2.5.1 Auction-Based Mechanism -- 2.5.1.1 Transmission Reliability Margin -- 2.5.1.2 Capacity Benefit Margin -- 2.6 Load-Frequency Control -- 2.6.1 Single Generator with Isochronous Governor -- 2.6.2 Two (or Multiple) Generators with Isochronous Governor -- 2.6.3 Supplementary Constant Frequency Control -- 2.7 Interconnected System Control -- 2.8 Tie-Line Bias Control -- 2.9 Practical Implementation of AGC -- 2.9.1 Performance Criteria -- 2.9.2 AGC and EDC. 2.9.3 Smooth ACE -- 2.9.4 Response Times -- 2.9.5 Time Deviation -- 2.9.6 Speed Governor Dead Band -- 2.10 Under Frequency Load Shedding -- 2.11 Transient Response -- Problems -- Bibliography -- 3. Load Flow over AC Transmission Lines -- 3.1 Power in AC Circuits -- 3.1.1 Complex Power -- 3.1.2 Conservation of Energy -- 3.2 Power Flow in a Nodal Branch -- 3.2.1 Simplifications of Line Power Flow -- 3.2.2 Voltage Regulation -- 3.3 ABCD Constants -- 3.4 Transmission Line Models -- 3.4.1 Medium Long Transmission Lines -- 3.4.2 Long Transmission Line Model -- 3.4.3 Reflection Coefficient -- 3.4.4 Lattice Diagrams -- 3.4.5 Infinite Line -- 3.4.6 Surge Impedance Loading -- 3.4.7 Wavelength -- 3.5 Tuned Power Line -- 3.6 Ferranti Effect -- 3.6.1 Approximate Long Line Parameters -- 3.7 Symmetrical Line at No Load -- 3.8 Illustrative Examples -- 3.9 Circle Diagrams -- 3.10 Modal Analysis -- 3.11 Corona on Transmission Lines -- 3.12 System Variables in Load Flow -- Problems -- Bibliography -- 4. HVDC Transmission Load Flow -- 4.1 Fundamental Characteristics of HVDC Transmission -- 4.1.1 Economics -- 4.1.2 Cable Interconnections -- 4.1.3 HVDC Advantages -- 4.1.4 Some Limitations of HVDC Transmission -- 4.2 HVDC System Configurations -- 4.2.1 Ground Electrodes and Ground Return -- 4.3 HVDC Power Flow -- 4.3.1 Rating of Converter Transformer -- 4.4 HVDC Controls -- 4.4.1 Bidirectional Power Flow -- 4.4.2 Voltage-Dependent Current Order Limit -- 4.4.3 Reactive Power Compensation -- 4.5 Control Implementation -- 4.5.1 Equidistant Firing Control -- 4.6 Short-Circuit Ratio -- 4.7 VSC-Based HVDC, HVDC Light -- Problems -- Bibliography -- 5. Load Flow Methods: Part I -- 5.1 Modeling of a Two-Winding Transformer -- 5.2 Load Flow, Bus Types -- 5.3 Gauss and Gauss–Seidel Y-Matrix Methods -- 5.3.1 Gauss Iterative Technique -- 5.3.2 Gauss–Seidel Iteration. 5.3.3 Convergence -- 5.3.4 Gauss–Seidel Y-Matrix Method -- 5.4 Convergence in Jacobi-Type Methods -- 5.4.1 III-Conditioned Network -- 5.4.2 Negative Impedances -- 5.4.3 Convergence Speed and Acceleration Factor -- 5.5 Gauss–Seidel Z-Matrix Method -- 5.6 Conversion of Y to Z Matrix -- 5.7 Triangular Factorization Method of Load Flow -- Problems -- Bibliography -- 6. Load Flow Methods: Part II -- 6.1 Functions with One Variable -- 6.2 Simultaneous Equations -- 6.3 Rectangular Form of the NR Method of Load Flow -- 6.4 Polar Form of Jacobian Matrix -- 6.4.1 Calculation Procedure of the NR Method -- 6.5 Simplifications of the NR Method -- 6.6 Decoupled NR Method -- 6.7 Fast Decoupled Load Flow -- 6.8 Model of a Phase-Shifting Transformer -- 6.9 DC Load Flow Models -- 6.9.1 P–θ Network -- 6.9.2 Q–V Network -- 6.10 Second-Order Load Flow -- 6.11 Load Models -- 6.12 Practical Load Flow Studies -- 6.12.1 Contingency Operation -- Problems -- References -- 7. AC Motor Starting Studies -- 7.1 Induction Motor Models -- 7.1.1 Double Cage Rotors -- 7.1.2 Effects of Variations in Voltage and Frequency -- 7.2 Impact Loads and Motor Starting -- 7.2.1 Motor Starting Voltage Dips -- 7.2.2 Snapshot Study -- 7.3 Motor Starting Methods -- 7.3.1 Wye–Delta Starter -- 7.3.2 Centrifugal Clutches -- 7.3.3 Soft Start -- 7.3.3.1 Voltage Ramp Start -- 7.3.3.2 Current Limit Start -- 7.3.3.3 Kick Start -- 7.3.3.4 Soft Stop -- 7.3.4 Resistance Starter for Wound Rotor Induction Motors -- 7.4 Number of Starts and Load Inertia -- 7.5 Starting of Synchronous Motors -- 7.6 Motor Starting Voltage Dips-Stability Considerations -- 7.6.1 Induction Motors -- 7.6.2 Synchronous Motors -- 7.6.3 Acceptable Voltage Dip on Motor Starting -- 7.7 EMTP Simulations of Motor Starting Transients -- 7.8 Synchronous Motors Driving Reciprocating Compressors -- Problems -- References. 8. Reactive Power Flow and Voltage Control -- 8.1 Maintaining Acceptable Voltage Profile -- 8.2 Voltage Instability -- 8.3 Reactive Power Compensation -- 8.3.1 Z0 Compensation -- 8.3.2 Line Length Compensation -- 8.3.3 Compensation by Sectionalization of Line -- 8.3.4 Effect on Maximum Power Transfer -- 8.3.5 Compensation with Lumped Elements -- 8.4 Reactive Power Control Devices -- 8.4.1 Synchronous Generators -- 8.4.2 Synchronous Condensers -- 8.4.3 Synchronous Motors -- 8.4.4 Shunt Power Capacitors -- 8.4.5 Static Var Controllers -- 8.4.6 Series Compensation of HV Lines -- 8.4.7 Shunt Reactors -- 8.4.8 Induction Voltage Regulators -- 8.5 Some Examples of Reactive Power Compensation -- 8.6 Reactive Power Compensation-Transmission Line -- 8.7 Reactive Power Compensation in an Industrial Distribution System -- Problems -- References -- 9. FACTS—Flexible AC Transmission Systems -- 9.1 Power Quality Problems -- 9.2 FACTS -- 9.3 Synchronous Voltage Source -- 9.3.1 Static Synchronous Compensator (STATCOM) -- 9.4 Fundamentals of Control -- 9.4.1 V–I Characteristics -- 9.4.2 Regulation -- 9.4.2.1 Hybrid Connections of STATCOM -- 9.5 Static Series Synchronous Compensator -- 9.6 Unified Power Flow Controller -- 9.7 FACTS for Distribution Systems -- 9.8 Application of a STATCOM to an Industrial Distribution System -- 9.8.1 Dynamic Simulation -- Problems -- References -- 10. Three-Phase and Distribution System Load Flow -- 10.1 Phase Coordinate Method -- 10.2 Three-Phase Models -- 10.2.1 Conductors -- 10.2.2 Generators -- 10.2.3 Generator Model for Cogeneration -- 10.2.4 Three-Phase Transformer Models -- 10.2.4.1 Symmetrical Components of Three-Phase Transformers -- 10.2.5 Load Models -- 10.3 Distribution System Load Flow -- 10.3.1 Methodology -- 10.3.2 Distribution System as a Ladder Network -- 10.4 Optimal Capacitor Locations -- References. 11. Optimization Techniques -- 11.1 Functions of One Variable -- 11.2 Concave and Convex Functions -- 11.3 Taylor’s Theorem -- 11.3.1 Optima of Concave and Convex Functions -- 11.3.2 Functions of Multivariables -- 11.4 Lagrangian Method: Constrained Optimization -- 11.5 Multiple Equality Constraints -- 11.6 Optimal Load Sharing between Generators -- 11.7 Inequality Constraints -- 11.8 Kuhn–Tucker Theorem -- 11.9 Search Methods -- 11.9.1 Univariate Search Method -- 11.9.2 Powell’s Method of Conjugate Directions -- 11.10 Gradient Methods -- 11.10.1 Method of Optimal Gradient -- 11.11 Linear Programming—Simplex Method -- 11.12 Quadratic Programming -- 11.13 Dynamic Programming -- 11.13.1 Optimality -- 11.14 Integer Programming -- Problems -- References -- 12. Optimal Power Flow -- 12.1 Optimal Power Flow -- 12.1.1 Handling Constraints -- 12.2 Decoupling Real and Reactive Power OPF -- 12.3 Solution Methods of OPF -- 12.4 Generation Scheduling Considering Transmission Losses -- 12.4.1 General Loss Formula -- 12.4.2 Solution of Coordination Equation -- 12.5 Steepest Gradient Method -- 12.5.1 Adding Inequality Constraints on Control Variables -- 12.5.2 Inequality Constraints on Dependent Variables -- 12.6 OPF Using Newton Method -- 12.6.1 Functional Constraints -- 12.6.2 Lagrangian Function -- 12.6.3 Hessian Matrix -- 12.6.4 Active Set -- 12.6.5 Penalty Techniques -- 12.6.6 Selecting Active Set -- 12.6.7 Algorithm for the Coupled Newton OPF -- 12.6.8 Decoupled Formation -- 12.7 Sequential Quadratic Programming -- 12.8 Successive Linear Programming -- 12.9 Interior Point Methods and Variants -- 12.9.1 Karmarkar Interior Point Algorithm -- 12.9.1.1 Check for Infeasibility -- 12.9.1.2 Check for Optimality -- 12.9.2 Barrier Methods -- 12.9.3 Primal–Dual IP Method -- 12.10 Security- and Environmental-Constrained OPF -- References. 13. Heuristic Optimization Techniques. This book discusses the major aspects of load flow, optimization, optimal load flow, and culminates in modern heuristic optimization techniques and evolutionary programming. In the deregulated environment, the economic provision of electrical power to consumers requires knowledge of maintaining a certain power quality and load flow. Many case studies and practical examples are included to emphasize real-world applications. The problems at the end of each chapter can be solved by hand calculations without having to use computer software. The appendices are devoted to calculations of line and cable constants, and solutions to the problems are included throughout the book. EBLlink deleted TAF201804 SzGeCERN Engineering BOOK https://ezproxy.cern.ch/login?url=https://www.taylorfrancis.com/books/9781498745451 ebook 201801 TAF n 201803 21 PUBLIC https://catalogue.library.cern/legacy/2300971 BOOK MIGRATED 2300968 SzGeCERN 20200610213330.0 9781498745505 electronic version electronic version 9781498745505 print version 9781498745512 electronic version electronic version oai:cds.cern.ch:2300968 cerncds:BOOK EBL 5110842 eng TK2861.D37 2018 621.31/7 Das, J C Power system protective relaying Milton CRC Press 2017 727 p ebook "Cover" -- "Half Title" -- "Title Page" -- "Copyright Page" -- "Contents" -- "Series Preface" -- "Preface to Volume 4: Power Systems Protective Relaying" -- "Author" -- "1. Modern Protective Relaying: An Overview" -- "1.1 Design Aspects and Reliability" -- "1.2 Fundamental Power System Knowledge" -- "1.3 Design Criteria of Protective Systems" -- "1.3.1 Selectivity" -- "1.3.2 Speed" -- "1.3.3 Reliability" -- "1.4 Equipment and System Protection" -- "1.5 Unit Protection Systems" -- "1.5.1 Back-Up Protection" -- "1.6 Smart Grids" -- "1.6.1 Framework for the Smart Grids" -- "1.6.2 Fundamental Layer" -- "1.6.2.1 Foundational Infrastructure and Resources" -- "1.6.2.2 Organization and Process" -- "1.6.2.3 Standards and Models" -- "1.6.2.4 Business and Regulatory" -- "1.6.3 Enabling Layer" -- "1.6.3.1 Enabling Infrastructure" -- "1.6.3.2 Incremental Intelligence" -- "1.6.4 Application Layer" -- "1.6.4.1 Grid and Customer Analysis" -- "1.6.4.2 Real-Time Awareness and Control" -- "1.6.4.3 Customer Interaction" -- "1.6.5 Innovation Layer" -- "1.6.5.1 Research and Development" -- "1.6.5.2 Research and Demonstration Projects" -- "1.7 Load Profiles: Var–Volt Control" -- "1.8 Some Modern Technologies Leading to Smart Grids" -- "1.8.1 WAMSs and PMUs" -- "1.8.2 System Integrity Protection Schemes" -- "1.8.3 Adaptive Protection" -- "1.9 Cyber Security" -- "1.10 NERC and CIP Requirements" -- "References" -- "2. Protective Relays" -- "2.1 Classification of Relay Types" -- "2.1.1 Input" -- "2.1.2 Operating Principle" -- "2.1.3 Performance" -- "2.1.4 Construction" -- "2.2 Electromechanical Relays" -- "2.3 Overcurrent Relays" -- "2.3.1 ANSI Curves" -- "2.3.2 IEC Curves" -- "2.4 Differential Relays" -- "2.4.1 Overcurrent Differential Protection" -- "2.4.2 Partial Differential Schemes" -- "2.4.3 Overlapping the Zones of Protection". "2.4.4 Percent Differential Relays" -- "2.5 Pilot Wire Protection" -- "2.6 Directional Overcurrent Relays" -- "2.7 Voltage Relays" -- "2.8 Reclosing Relays" -- "2.9 Breaker Failure Relay" -- "2.10 Machine Field Ground Fault Relay" -- "2.11 Frequency Relays" -- "2.12 Distance Relays" -- "2.13 Other Relay Types" -- "References" -- "3. Instrument Transformers" -- "3.1 Accuracy Classification of CTs" -- "3.1.1 Metering Accuracies" -- "3.1.2 Relaying Accuracies" -- "3.1.3 Relaying Accuracy Classic fi ation X" -- "3.1.4 Accuracy Classic fi ation T" -- "3.2 Constructional Features of CTs" -- "3.3 Secondary Terminal Voltage Rating" -- "3.3.1 Saturation Voltage" -- "3.3.2 Saturation Factor" -- "3.4 CT Ratio and Phase Angle Errors" -- "3.5 Interrelation of CT Ratio and Class C Accuracy" -- "3.6 Polarity of Instrument Transformers" -- "3.7 Application Considerations" -- "3.8 Series and Parallel Connections of CTs" -- "3.9 Transient Performance of the CTs" -- "3.9.1 CT Saturation Calculations" -- "3.9.2 Effect of Remanence" -- "3.10 Practicality of CT Applications" -- "3.11 CTs for Low-Resistance Grounded Medium-Voltage Systems" -- "3.12 Future Directions in CT Applications" -- "3.13 Voltage Transformers" -- "3.13.1 Rated Primary Voltage and Ratios" -- "3.13.2 Accuracy Rating" -- "3.13.3 Thermal Burdens" -- "3.13.4 PT Connections" -- "3.13.5 Ferroresonance Damping" -- "3.14 C apacitor-Coupled Voltage Transformers" -- "3.14.1 Transient Performance" -- "3.14.2 Applications to Distance Relay Protection" -- "3.15 L ine (Wave) Traps" -- "3.16 Transducers" -- "References" -- "4. Microprocessor-Based Multifunction Relays" -- "4.1 Functionality" -- "4.1.1 Protection Features" -- "4.1.2 Voltage-Based Protections" -- "4.1.3 Monitoring Features" -- "4.1.4 Communications and Controls" -- "4.2 Front Panel" -- "4.3 Environmental Compatibility" -- "4.4 Dimensions". "4.5 Specicfiations" -- "4.6 Settings" -- "4.6.1 The Setting Groups" -- "4.7 Relay Bit Words" -- "4.8 Time Delay Overcurrent Protection" -- "4.9 Voltage-Based Elements" -- "4.10 Power Elements" -- "4.11 Loss of Potential" -- "4.12 Frequency Settings" -- "4.13 Trip and Close Logic" -- "4.13.1 Trip Logic" -- "4.13.2 Close Logic" -- "4.13.3 Reclose Logic and Supervision" -- "4.14 Demand Metering" -- "4.15 Logical Settings" -- "4.16 Latch Bits: Nonvolatile State" -- "4.17 Global Settings" -- "4.18 Port Settings" -- "4.19 Breaker Monitor" -- "4.20 Front Panel Operations" -- "4.20.1 Rotating Display" -- "4.21 Analyzing Events" -- "4.21.1 Sequential Event Recorder" -- "4.21.2 Triggering" -- "4.21.3 Aliases" -- "4.22 Setting the Relay" -- "Reference" -- "5. Current Interruption Devices and Battery Systems" -- "5.1 High-Voltage Circuit Breakers" -- "5.1.1 DC Control Schematics" -- "5.2 Battery Systems" -- "5.2.1 Battery Types" -- "5.2.2 Plante Batteries" -- "5.2.3 Pasted Plate Batteries" -- "5.2.4 Tubular Plate Batteries" -- "5.2.5 Sealed (Valve-Regulated) Lead Acid Batteries" -- "5.2.6 Battery Monitoring System" -- "5.2.7 Nickel–Cadmium Batteries" -- "5.2.8 Pocket Plate Nickel–Cadmium Batteries" -- "5.3 Sizing the Batteries" -- "5.3.1 Standards for Sizing the Batteries" -- "5.3.2 System Configurations for Batteries" -- "5.3.3 Automatic Transfer Switches" -- "5.3.4 Battery Chargers" -- "5.3.4.1 Floating Operation" -- "5.3.4.2 Equalizing Charge" -- "5.3.4.3 Switch Mode Operation" -- "5.3.5 Battery Charger as a Battery Eliminator" -- "5.3.6 Short-Circuit and Coordination Considerations" -- "5.4 Capacitive Trip Devices" -- "5.5 Lockout Relays" -- "5.6 Remote Trips" -- "5.7 CT and PT Test Switches" -- "5.8 Fuses" -- "5.8.1 Medium-Voltage Fuses" -- "5.8.1.1 Variations in the Fuse Time–Current Characteristics" -- "5.8.2 Selection of Fuse Types and Ratings". "5.8.3 Semiconductor Fuses" -- "5.9 Low-Voltage Circuit Breakers" -- "5.9.1 Molded Case Circuit Breakers" -- "5.9.2 Current-Limiting MCCBs" -- "5.9.3 Insulated Case Circuit Breakers" -- "5.9.4 Low-Voltage Power Circuit Breakers" -- "5.9.5 Short-Time Bands of LVPCBs’ Trip Programmers" -- "5.9.6 Motor Circuit Protectors" -- "5.9.7 Other Pertinent Data of Low-Voltage Circuit Breakers" -- "5.10 Selective Zone Interlocking" -- "5.11 Electronic Power Fuses" -- "5.12 Low- and Medium-Voltage Contactors" -- "References" -- "6. Overcurrent Protection: Ideal and Practical" -- "6.1 Fundamental Considerations" -- "6.2 Data for the Coordination Study" -- "6.3 Computer-Based Coordination" -- "6.4 Initial Analysis" -- "6.5 Coordinating Time Interval" -- "6.5.1 Relay Overtravel" -- "6.6 Fundamental Considerations for Coordination" -- "6.6.1 Settings on Bends of Coordination Curves" -- "6.7 Some Examples of Coordination" -- "6.7.1 Low-Voltage Distribution System" -- "6.7.2 2.4 kV Distribution" -- "6.7.3 Ground Fault Protection" -- "6.7.4 Coordination in a Cogeneration System" -- "6.8 Coordination on Instantaneous Basis" -- "6.8.1 Selectivity between Two Series-Connected Current-Limiting Fuses" -- "6.8.2 Selectivity of a Current-Limiting Fuse Downstream of Noncurrent-Limiting Circuit Breaker" -- "6.8.3 Selectivity of Current-Limiting Devices in Series" -- "6.9 NEC Requirements of Selectivity" -- "6.9.1 Fully Selective Systems" -- "6.9.2 Selection of Equipment Ratings and Trip Devices" -- "6.10 The Art of Compromise" -- "6.11 Zone Selective Interlocking" -- "6.12 Protection and Coordination of UPS Systems" -- "References" -- "7. System Grounding" -- "7.1 Study of Grounding Systems" -- "7.2 Solidly Grounded Systems" -- "7.2.1 Hazards in Solidly Grounded Systems" -- "7.3 Low-Resistance Grounded Systems" -- "7.4 High-Resistance Grounded Systems". "7.5 Ungrounded Systems" -- "7.6 Reactance Grounding" -- "7.7 Resonant Grounding" -- "7.8 Corner of Delta Grounded Systems" -- "7.9 Artificially Derived Neutrals" -- "7.10 Multiple Grounded Systems" -- "7.10.1 Equivalent Circuit of Multiple Grounded Systems" -- "7.11 NEC and NESC Requirements" -- "7.12 Hybrid Grounding System for Industrial Bus-Connected Generators" -- "7.13 Grounding of ASDs" -- "7.14 Grounding in Mine Installations" -- "References" -- "8. Ground Fault Protection" -- "8.1 Protection and Coordination in Solidly Grounded Systems" -- "8.1.1 NEC Requirements" -- "8.1.2 Self-Extinguishing Ground Faults" -- "8.1.3 Improving Coordination in Solidly Grounded Low-Voltage Systems" -- "8.2 Ground Fault Coordination in Low-Resistance Grounded Medium-Voltage Systems" -- "8.3 Remote Tripping" -- "8.4 Ground Fault Protection in Ungrounded Systems" -- "8.4.1 Nondiscriminatory Alarms and Trips" -- "8.5 Ground Fault Protection in High-Resistance Grounded Systems" -- "8.5.1 Nondiscriminatory Alarms and Trips" -- "8.5.2 Selective Ground Fault Clearance" -- "8.5.3 Pulsing-Type Ground Fault Detection System" -- "8.5.4 Protection of Motors" -- "8.5.5 Protection against Second Ground Fault" -- "8.5.6 Insulation Stresses and Cable Selection for HR Grounded Systems" -- "8.6 Ground Fault Protection in Resonant Grounded Systems" -- "8.7 Studies of Protection and Coordination in Practical Systems" -- "8.7.1 Ground Fault Protection of Industrial Bus-Connected Generators" -- "8.7.2 Directional Ground Fault Relays" -- "8.7.3 Operating Logic Selection for Directional Elements" -- "8.7.3.1 Single-Line-to-Ground Fault" -- "8.7.3.2 Double-Line-to-Ground Fault" -- "8.8 Selective High-Resistance Grounding Systems" -- "8.8.1 EMTP Simulation of a HRG" -- "8.8.2 Generator 100% Stator Winding Protection" -- "8.8.3 Accuracy of Low Pickup Settings in MMPR". "8.9 Monitoring of Grounding Resistors". EBL201801 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5110842 ebook n 201803 201801 21 PUBLIC BOOK DELETED 2300945 SzGeCERN 20180515232353.0 9780128128428 (electronic bk.) electronic version 9780128128077 electronic version EBL 5108514 eng TJ840.A273 2017 621.92999999999995 Huang, Zhongwei Abrasive water jet perforation and multi-stage fracturing San Diego, CA Elsevier Science 2017 326 p "Front Cover" -- "ABRASIVE WATER JET PERFORATION AND MULTI-STAGE FRACTURING" -- "ABRASIVE WATER JET PERFORATION AND MULTI-STAGE FRACTURING" -- "Copyright" -- "CONTENTS" -- "PREFACE" -- "One - Theoretical Basis of Abrasive Jet" -- "1.1 INTRODUCTION" -- "1.1.1 Development History of High-Pressure Water Jet Technology" -- "1.1.2 Introduction of Abrasive Jet" -- "1.2 POSTMIXED ABRASIVE JETTING" -- "1.2.1 Postmixed Abrasive Jet Nozzle" -- "1.2.1.1 Nozzle Classifications" -- "1.2.1.1.1 Single-Jet Nozzle With Side Entry Supply" -- "1.2.1.1.2 Single-Jet Nozzle With Tangential Feed" -- "1.2.1.1.3 Multijet Nozzle With Side Entry Supply" -- "1.2.1.1.4 Multijet Central Entry Nozzle" -- "1.2.1.1.5 External Mixed Abrasive Nozzle" -- "1.2.1.1.6 Rotary Injected Abrasive Jet Nozzle" -- "1.2.1.1.7 Abrasive Jet Nozzle Equipped With Straightening Pipe" -- "1.2.1.2 Nozzle Design" -- "1.2.1.2.1 Diameter of Water Jet Nozzle" -- "1.2.1.2.2 Diameter of the Abrasive Jet Nozzle" -- "1.2.1.2.3 Dimension of the Mixing Chamber" -- "1.2.1.2.4 Diameter and Length of the Straightening Pipe" -- "1.2.2 Abrasive and Its Supply Method" -- "1.2.2.1 Summary of Abrasive" -- "1.2.2.1.1 Classification of Abrasives" -- "1.2.2.1.2 Particle Size of the Abrasive" -- "1.2.2.1.3 Reusability of Abrasives" -- "1.2.2.1.4 Recycling of Abrasive" -- "1.2.2.2 Supply System of Abrasive" -- "1.2.2.2.1 Dry Abrasive Supply System" -- "1.2.2.2.2 Wet Supply System" -- "1.2.3 Mixing Mechanism of Abrasive for Postmixed Abrasive Jet" -- "1.2.3.1 Movement of Abrasive Jet Along the Axial Line" -- "1.2.3.2 Lateral Movement of Abrasive Particle" -- "1.3 PREMIXED ABRASIVE JET" -- "1.3.1 Development of Premixed Abrasive Jet" -- "1.3.2 The Abrasive Accelerating Mechanism of Premixed Abrasive Jet" -- "1.3.2.1 Abrasive Accelerating Mechanism" -- "1.3.2.2 Water Flow Velocity Distribution Within the Nozzle". "1.3.2.3 Solution of the Model" -- "1.3.2.3.1 The Solution for the Equation of Particle Motion in Contraction Section" -- "1.3.2.3.2 The Solution of the Particle Motion Equation in the Cylindrical Section" -- "1.4 ABRASIVE SUSPENSION JET" -- "1.4.1 Preparation of Abrasive Suspensions and Their Rheological Behaviors" -- "1.4.2 Slurry Pressurization and Delivery" -- "1.5 CUTTING MECHANISM AND MODELS OF ABRASIVE SUSPENSION JETS" -- "1.5.1 Principles of Erosion" -- "1.5.1.1 Incident Angle" -- "1.5.1.2 Particle Speed" -- "1.5.1.3 Erosion Time" -- "1.5.1.4 Environmental Temperature" -- "1.5.1.5 Properties of Impact Particles" -- "1.5.2 Video Observation of the Cutting Process of Abrasive Jet" -- "1.5.3 Erosion Theory for Brittle Materials" -- "1.5.4 Mathematical Model of Abrasive Jet Cutting" -- "1.5.4.1 Crow's Rock Cutting Model" -- "1.5.4.2 Rehbinder's Rock Cutting Model" -- "1.5.4.3 Hashish's Cutting Model" -- "REFERENCES" -- "Two - Mechanism and Parameter Optimization of Abrasive Water Jet Perforation" -- "2.1 MECHANISTIC INVESTIGATION OF ABRASIVE WATER JET PERFORATION" -- "2.1.1 Introduction to Abrasive Water Jet Perforation" -- "2.1.2 Theoretical Analysis of the Particle Acceleration Process in Abrasive Water Jet Perforation" -- "2.1.3 Mechanism of Abrasive Water Jet Perforating" -- "2.1.3.1 Mechanism of Abrasive Water Jet Perforating Casing" -- "2.1.3.2 Mechanism of Abrasive Water Jet Perforating Cement and Rock" -- "2.2 PARAMETER OPTIMIZATION EXPERIMENT OF ABRASIVE WATER JET PERFORATION" -- "2.2.1 Laboratory Experiment Study on Abrasive Water Jet Perforating Parameters" -- "2.2.2 Surface Experiment Study on Abrasive Water Jet Perforating Parameters" -- "2.2.2.1 In 177.8mm Casing" -- "2.2.2.2 In 139.7mm Casing" -- "2.3 FIELD EXPERIMENT OF ABRASIVE WATER JET PERFORATION" -- "2.3.1 Preparation and Procedures of Experiment". "2.3.2 Dissection of Samples and Data Analysis" -- "2.3.2.1 Characteristics of Normal Cavity" -- "2.3.2.2 Characteristics of Cracked Cavity Created Before Intended Time" -- "2.3.2.3 Characteristics of the Fractured Cavity Created With Hydra-jet-Assisted Fracturing" -- "REFERENCES" -- "Three - Numerical and Experimental Study of Flow Field in a Hydra-Jet Hole" -- "3.1 NUMERICAL SIMULATION OF FLOW FIELD IN A HYDRA-JET HOLE" -- "3.1.1 Flow Field Modeling and Boundary" -- "3.1.1.1 Modeling and Meshing" -- "3.1.1.2 Boundary Conditions" -- "3.1.2 Numerical Simulation Analysis" -- "3.1.2.1 Characteristics of the Pressure and Velocity Distribution of the Hole" -- "3.1.2.2 Pressure Field Analysis" -- "3.1.2.3 Velocity Field Analysis" -- "3.1.2.4 Streamline Inside the Hole Chart Analysis" -- "3.1.3 Analysis of the Factors Affecting the Pressure Distribution of the Hole" -- "3.1.3.1 Effect of the Confining Pressure on Pressure Distribution of the Hole" -- "3.1.3.1.1 Effect of the Confining Pressure on the Pressure Distribution in the Hole of Casing Wells" -- "3.1.3.1.2 Effects of the Confining Pressure on Pressure Distribution of the Hole in Hole Wells" -- "3.1.3.2 Effect of Nozzle Pressure Drop on Pressure Distribution of the Hole" -- "3.1.3.2.1 Effect of the Confining Pressure on the Pressure Distribution of the Hole in Casing Wells" -- "3.1.3.2.2 Effect of the Confining Pressure on the Pressure Distribution of the Hole in Open Hole Wells" -- "3.1.3.3 Effect of the Inlet Ratio on Pressure Distribution of the Hole" -- "3.1.3.3.1 Effect of the Confining Pressure on Pressure Distribution of the Hole in Casing Wells" -- "3.1.3.3.2 Effect of the Confining Pressure on the Pressure Distribution of the Hole in Open Hole Wells" -- "3.1.3.4 Effect of the Hole Depth on the Pressure Distribution of the Hole". "3.2 EXPERIMENTAL STUDY FOR FLOW FIELD INSIDE THE HYDRA-JET HOLE" -- "3.2.1 Experimental Equipment and Methods" -- "3.2.1.1 Experimental Devices" -- "3.2.1.2 Experimental Principle" -- "3.2.1.3 Experimental Scheme" -- "3.2.2 Analysis of Experimental Results" -- "3.2.2.1 Effect of Experimental Parameters on the Hole Pressure Distribution" -- "3.2.2.1.1 Effect of Ambient Pressure on the Pressure Distribution of the Hole" -- "3.2.2.1.2 Effect of the Nozzle Pressure Drop on the Pressure Distribution of the Hole" -- "3.2.2.1.3 Effect of Standoff Distance on the Hole Pressure Distribution" -- "3.2.2.1.4 Effect of the Inlet Ratio on the Hole Pressure Distribution" -- "3.2.2.1.5 Effect of Hole Depth on Hole Pressure Distribution" -- "3.2.2.2 Pressurization Formula in the Jet Hole" -- "REFERENCES" -- "Four - Influence of Jetting Hole on Fracture Initiation and Propagation" -- "4.1 NUMERICAL SIMULATION OF FRACTURE INITIATION AND PROPAGATION" -- "4.1.1 Geometric Model and Boundary Condition" -- "4.1.2 Model Results" -- "4.1.2.1 Influencing Factors of Crack Pressure" -- "Relationship between perforation depth and crack pressure" -- "Relationship between the vertical stress and crack pressure" -- "4.1.2.2 Fracture Morphology" -- "4.1.2.3 Effect of Model Size" -- "4.2 EXPERIMENTAL STUDY" -- "4.2.1 Experimental Setup and Methods" -- "4.2.1.1 Experimental Setup" -- "4.2.1.2 Preparation of Rock Samples" -- "4.2.1.3 Experimental Methodologies" -- "Similarity criterion in simulation experiment" -- "Experimental conditions" -- "Experimental procedure" -- "4.2.1.4 Analysis Results" -- "4.2.1.4.1 Influence of Perforation Diameter on Rock Crack Stress" -- "4.2.1.4.2 Effect of Perforation Depth on Fracture Pressure" -- "4.2.1.4.3 Effect of Angle Between Perforation Axis and Maximum Horizontal Principal Stress on Initiation Fracture". "4.2.1.5 Fractal Characteristic of Fracture" -- "4.2.1.5.1 Fractal Criterion" -- "4.2.1.5.2 Calculation of Fractal Dimension" -- "REFERENCES" -- "Five - Flow Behavior and Friction Characteristics of Fluid Flow in Coiled Tubing" -- "5.1 FLUID FLOW BEHAVIOR ANALYSIS IN HELICAL SEGMENT OF COILED TUBING" -- "5.1.1 Flow Characteristics" -- "5.1.2 Flow Behavior Analysis" -- "5.2 FRICTION PRESSURE LOSS CALCULATIONS OF NEWTONIAN FLUID IN STRAIGHT TUBING AND COILED TUBING" -- "5.2.1 Friction Pressure Loss Calculations of Newtonian Fluids in Straight Tubing" -- "5.2.2 Friction Pressure Loss Calculations of Newtonian Fluids in Coiled Tubing" -- "5.2.2.1 Calculations for Fluid Flow in Laminar Flow Regime in Coiled Tubing" -- "5.2.2.2 Calculations for Fluid Flow in Turbulent Flow Regime in Smooth and Rough Coiled Tubing" -- "5.3 PRESSURE LOSS CALCULATION OF NON-NEWTONIAN FLUID IN COILED TUBING" -- "5.3.1 Laminar Flow of Non-Newtonian Fluid in Coiled Tubing" -- "5.3.2 Turbulent Flow of Non-Newtonian Fluid in Coiled Tubing" -- "5.4 DRAG REDUCTION CHARACTERISTICS IN COILED TUBING" -- "REFERENCES" -- "Six - Operation Parameters Calculation" -- "6.1 RELATIONSHIP BETWEEN NOZZLE PRESSURE DROP AND FLOW RATE" -- "6.2 FRICTIONAL PRESSURE LOSS IN WELLBORE" -- "6.2.1 Pressure Loss in Conventional Tubing Pipe" -- "6.2.1.1 Pressure Loss of Clear Water in Tubing Pipe" -- "6.2.1.1.1 Reynolds Number and Flow Pattern" -- "6.2.1.1.2 Friction Coefficient" -- "6.2.1.1.3 The Frictional Pressure Loss in Tubing Pipe" -- "6.2.1.2 Calculation of Friction Reduction Ratio" -- "6.2.2 Pressure Loss in Coiled Tubing" -- "6.2.2.1 Pressure Loss Model for Coiled Tubing" -- "6.2.2.1.1 Reynolds Number and Flow Patterns" -- "6.2.2.1.2 Friction Coefficient" -- "6.2.2.1.3 Frictional Pressure Loss" -- "6.2.2.2 Model Correction Based on Experimental Results" -- "6.2.2.2.1 Experimental Equipment". "6.2.2.2.2 Experimental Process". Li, Gensheng Tian, Shouceng Song, Xianzhi Sheng, Mao Shah, Subhash 9780128128077 print version oai:cds.cern.ch:2300945 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5108514 ebook ebook EBL201801 Engineering SzGeCERN BOOK n 201803 201801 21 PUBLIC BOOK DELETED 2300912 SzGeCERN 20180213020552.0 9783110479935 (electronic bk.) electronic version 9783110479928 electronic version EBL 4943483 eng QD601.3 .M537 2017 541/.38 23 Cintas, Pedro Microwave chemistry Berlin De Gruyter 2017 552 p De Gruyter textbook "Preface" -- "Contents" -- "List of contributors" -- "1. Microwave chemistry: history, development and legacy" -- "2. An Introduction to dielectric heating" -- "3. Microwave generators, transmission, and interaction with different materials" -- "4. Interpretation of the rate enhancing effect of microwaves" -- "5. Industrial microwave reactors: components and set up" -- "6. The impact of microwaves in organic synthesis" -- "7. Chemical reactions on the interfaces of solids under microwaves" -- "8. Some aspects of catalysis with microwaves" -- "9. Microwaves in flow chemistry" -- "10. Microwaves in green and sustainable chemistry" -- "11. Synthesis of medium-sized heterocycles under microwave irradiation" -- "12. Microwaves applied to hydrothermal synthesis of nanoparticles" -- "13. Microwave-assisted solvothermal synthesis of inorganic compounds (molecular and non molecular)" -- "14. Microwave-assisted synthesis of nanoparticles" -- "15. Microwaves in polymer chemistry" -- "16. Microwave extraction of natural products in the teaching laboratory: fundamentals of essential oils green extraction" -- "17. Microwave extraction of bioactive compounds from industrial by-products" -- "18. The Use of microwaves in drug discovery" -- "19. Microwave heating in medicinal chemistry" -- "20. Microwave-assisted biomass conversion" -- "21. Microwave technology for environmental remediation" -- "22. Microwaves in the omics field" -- "23. Microwaves in sample preparation for elemental determination" -- "24. Microwave-assisted sample preparation for organic analysis" -- "25. Microwave chemistry in the organic instructional laboratory". Veronesi, Paolo Leonelli, Cristina Keglevich, György Mucsi, Zoltán Radoiu, Marilena de la Hoz, Antonio Prieto, Pilar Cravotto, Giancarlo Carnaroglio, Diego 9783110479928 print version oai:cds.cern.ch:2300912 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4943483 ebook ebook EBL Chemistry, Physical and theoretical EBL Microwaves EBL201801 Chemical Physics and Chemistry SzGeCERN BOOK n 201803 201801 21 PUBLIC BOOK DELETED 2300889 SzGeCERN 20180612223807.0 9781498700726 (electronic bk.) electronic version 9781498700719 electronic version EBL 4745253 eng GE45.R44.R47 2017 621.3678 Weng, Qihao Remote sensing for sustainability Boca Raton, FL CRC Press 2016 384 p Remote sensing applications series Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Foreword -- Preface -- Acknowledgments -- Editor -- Contributors -- Section I: Remote Sensing for Sustainable Cities -- Chapter 1: Extraction of Parameters from Remote Sensing Data for Environmental Indices for Urban Sustainability -- Chapter 2: Earth Observation for Urban and Spatial Planning -- Chapter 3: Assessment of Urban Growth in the Pearl River Delta, China, Using Time Series Landsat Imagery -- Chapter 4: InSAR Monitoring of Land Subsidence for Sustainable Urban Planning -- Chapter 5: A Tale of Two Cities: Urbanization in Greensboro, North Carolina, and Guiyang, Guizhou, China -- Section II: Remote Sensing for Sustainable Natural Resources -- Chapter 6: Role of Remote Sensing in Sustainable Grassland Management: A Review and Case Studies for a Mixed-Grass Prairie Ecosystem -- Chapter 7: Classifying Tree Species Using Fine Spatial Resolution Imagery to Support the Conservation of an Endangered Bird Species in Hawaii -- Chapter 8: Remote Sensing of Forest Damage by Diseases and Insects -- Chapter 9: Monitoring Water Quality with Remote Sensing Image Data -- Section lII: Remote Sensing for Sustainable Environmental Systems -- Chapter 10: Urban Air Quality Studies Using EO Data -- Chapter 11: Heat Hazard Monitoring with Satellite-Derived Land Surface Temperature -- Chapter 12: Remote Sensing Identification of Threshold Zones along a Mediterranean to Arid Climatic Gradient -- Chapter 13: Soil Moisture Using Optical Remote Sensing and Ground Measurements: A Case Study from Pakistan -- Section IV: Remote Sensing for Sustainable Energy -- Chapter 14: Earth Observation and Its Potential to Implement a Sustainable Energy Supply-A German Perspective -- Chapter 15: Use of Nighttime Imaging Data to Assess Decadal Trends in Energy Use in China. Chapter 16: Support of Wind Resource Modeling Using Earth Observation-A European Perspective on the Status and Future Options -- Chapter 17: Assessing Solar Energy Potential and Building Energy Use in Indianapolis Using Geospatial Techniques -- Index. 9781498700719 print version oai:cds.cern.ch:2300889 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4745253 ebook ebook EBL201801 Engineering SzGeCERN BOOK n 201803 201801 21 PUBLIC BOOK DELETED 2300841 SzGeCERN 20180920202616.0 9783433604854 (electronic bk.) electronic version 9783433030400 electronic version EBL 4044147 eng TH7413 -- .S653 2015eb 621.563 Hadorn, Jean-Christophe Solar and heat pump systems for residential buildings Berlin Wilhelm Ernst & Sohn Verlag fur Architektur und Technische 2015 277 p Solar heating and cooling Solar and Heat Pump Systems for Residential Buildings -- Contents -- About the editor and the supervisors -- List of contributors -- IEA solar heating and cooling programme -- Forewords -- Acknowledgments -- Chapter 1: Introduction -- 1.1 The scope -- 1.2 Who should read this book? -- 1.3 Why this book? -- 1.4 What you will learn reading this book? -- Internet sources -- Part One: Theoretical Considerations -- Chapter 2. System description, categorization, and comparison -- 2.1 System analysis and categorization -- 2.1.1 Approaches and principles -- 2.1.2 Graphical representation of solar and heat pump systems -- 2.1.3 Categorization -- 2.2 Statistical analysis of market-available solar thermal and heat pump systems -- 2.2.1 Methods -- 2.2.2 Results -- 2.2.2.1 Surveyed companies -- 2.2.2.2 System functions -- 2.2.2.3 System concepts -- 2.2.2.4 Heat pump characteristics - heat sources -- 2.2.2.5 Collector types -- 2.2.2.6 Cross analysis between collector type and system concept -- 2.3 Conclusions and outlook -- 2.4 Relevance and market penetration - illustrated with the example of Germany -- References -- Chapter 3: Components and thermodynamic aspects -- 3.1 Solar collectors -- 3.2 Heat pumps -- 3.3 Ground heat exchangers -- 3.3.1 Modeling of vertical ground heat exchangers -- 3.3.2 Modeling of horizontal ground heat exchangers -- 3.3.3 Combining GHX with solar collectors -- 3.4 Storage -- 3.4.1 Sensible heat storage and storage in general -- 3.4.2 Latent storage -- 3.4.3 Thermochemical reactions and sorption storage -- 3.5 Special aspects of combined solar and heat pump systems -- 3.5.1 Parallel versus series collector heat use -- 3.5.2 Exergetic efficiency and storage stratification -- References -- Chapter 4: Performance and its assessment -- 4.1 Introduction -- 4.2 Definition of performance figures. 4.2.1 Overview of performance figures in current normative documents -- 4.2.1.1 Heat pumps -- 4.2.1.2 Solar thermal collectors -- 4.2.2 Solar and heat pump systems -- 4.2.3 Efficiency and performance figures -- 4.2.4 Component performance figures -- 4.2.4.1 Coefficient of performance -- 4.2.4.2 Seasonal coefficient of performance -- 4.2.4.3 Solar collector efficiency -- 4.2.5 System performance figures -- 4.2.5.1 Seasonal performance factor -- 4.2.6 Other performance figures -- 4.2.6.1 Solar fraction -- 4.2.6.2 Renewable heat fraction -- 4.2.6.3 Fractional energy savings -- 4.3 Reference system and system boundaries -- 4.3.1 Reference SHP system -- 4.3.2 Definition of system boundaries and corresponding seasonal performance factors -- 4.4 Environmental evaluation of SHP systems -- 4.4.1.1 Primary energy ratio -- 4.4.1.2 Equivalent warming impact -- 4.4.1.3 Fractional primary energy savings -- 4.4.1.4 Fractional CO2 emission savings -- 4.5 Calculation example -- Appendix 4.A Reviewed standards and other normative documents -- 4.A.1 Heat pumps (Table 4.A.1) -- 4.A.2 Solar thermal collectors (Table 4.A.2) -- 4.A.3 Relevant documents for the ecodesign directive -- References -- Chapter 5: Laboratory test procedures for solar and heat pump systems -- 5.1 Introduction -- 5.2 Component testing and whole system testing -- 5.2.1 Testing boundary and implications on the test procedures -- 5.2.2 Direct comparison of CTSS and WST -- 5.2.3 Applicability to SHP systems -- 5.2.4 Test sequences and determination of annual performance -- 5.2.4.1 Direct extrapolation of results (WST for combi-systems) -- 5.2.4.2 Modeling and simulation -- 5.2.5 Output -- 5.3 Experience from laboratory testing -- 5.3.1 Extension of CTSS test procedure toward solar and heat pump systems -- 5.3.2 Results of whole system testing of solar and heat pump systems. 5.3.2.1 Excessive charging of the DHW zone -- 5.3.2.2 Exergetic losses in general -- 5.3.3 Extension of DST test procedure toward solar and heat pump systems -- 5.4 Summary and findings -- References -- Part Two: Practical Considerations -- Chapter 6. Monitoring -- 6.1 Background -- 6.2 Monitoring technique -- 6.2.1 Monitoring approach -- 6.2.2 Measurement technology -- 6.2.2.1 Data logging systems -- 6.2.2.2 Heat meters -- 6.2.2.3 Electricity meters -- 6.2.2.4 Meteorological data -- 6.2.2.5 Temperature sensors -- 6.3 Solar and heat pump performance - results from field tests -- 6.4 Best practice examples -- 6.4.1 Blumberg -- 6.4.2 Jona -- 6.4.3 Dreieich -- 6.4.4 Savièse -- 6.4.5 Satigny -- References -- Chapter 7: System simulations -- 7.1 Parallel solar and heat pump systems -- 7.1.1 Best practice for parallel solar and heat pump system concepts -- 7.1.2 Performance of parallel solar and heat pump systems -- 7.1.3 Performance in different climates and heat loads -- 7.1.4 Fractional energy savings and performance estimation with the FSC method -- 7.2 Series and dual-source concepts -- 7.2.1 Potential for parallel/series concepts with dual-source heat pump -- 7.2.2 Concepts with Ground Regeneration -- 7.2.3 Other series concepts: dual or single source -- 7.2.4 Multifunctional concepts that include cooling -- 7.3 Special collector designs in series systems -- 7.3.1 Direct expansion collectors -- 7.3.2 Photovoltaic-thermal collectors -- 7.3.3 Collector designs for using solar heat as well as ambient air -- 7.4 Solar thermal savings versus photovoltaic electricity production -- 7.5 Comparison of simulation results with similar boundary conditions -- 7.5.1 Results for Strasbourg SFH45 -- 7.5.1.1 Heat sources -- 7.5.1.2 System classes -- 7.5.1.3 Dependence on collector size and additional effort -- 7.5.1.4 Electricity consumption. 7.5.2 Results for Strasbourg SFH15 and SFH100 -- 7.5.3 Results for Davos SFH45 -- 7.6 Conclusions -- Appendix 7.A Appendix on simulation boundary conditions and platform independence -- 7.A.1 Climates -- 7.A.2 Building load and DHW demand -- 7.A.3 Other boundary conditions -- 7.A.4 Platform validation -- Acknowledgment -- References -- Chapter 8: Economic and market issues -- 8.1 Introduction -- 8.2 Advantages of SHP systems -- 8.3 The economic calculation framework -- 8.4 A nomograph for economic analysis purposes -- 8.5 Application to real case studies -- References -- Chapter 9: Conclusion and outlook -- 9.1 Introduction -- 9.2 Components, systems, performance figures, and laboratory testing -- 9.3 Monitoring and simulation results and nontechnical aspects -- 9.4 Outlook -- 9.4.1 Energy storage -- 9.4.2 System prefabrication -- 9.4.3 System quality testing -- 9.4.4 Further component development -- Glossary -- Abbreviations -- Symbols -- Greek letters -- Subscripts -- Index -- EULA. 9783433030400 print version oai:cds.cern.ch:2300841 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4044147 ebook ebook EBL Heat pumps EBL201801 Engineering SzGeCERN BOOK n 201803 201801 21 PUBLIC BOOK DELETED 2300840 SzGeCERN 20180410204930.0 9781118514603 (electronic bk.) electronic version 9781118514573 electronic version EBL 4035986 eng QD478 -- .P59 2015eb 537.622 Pizzini, Sergio Physical chemistry of semiconductor materials and processes New York, NY John Wiley & Sons 2015 416 p Cover -- Title Page -- Copyright -- Contents -- Preface -- Chapter 1 Thermodynamics of Homogeneous and Heterogeneous Semiconductor Systems -- 1.1 Introduction -- 1.2 Basic Principles -- 1.3 Phases and Their Properties -- 1.3.1 Structural Order of a Phase -- 1.4 Equations of State of Thermodynamic Systems -- 1.4.1 Thermodynamic Transformations and Functions of State -- 1.4.2 Work Associated with a Transformation, Entropy and Free Energy -- 1.4.3 Chemical Potentials -- 1.4.4 Free Energy and Entropy of Spontaneous Processes -- 1.4.5 Effect of Pressure on Phase Transformations, Polymorphs/Polytypes Formation and Their Thermodynamic Stability -- 1.4.6 Electrochemical Equilibria and Electrochemical Potentials of Charged Species -- 1.5 Equilibrium Conditions of Multicomponent Systems Which Do Not React Chemically -- 1.6 Thermodynamic Modelling of Binary Phase Diagrams -- 1.6.1 Introductory Remarks -- 1.6.2 Thermodynamic Modelling of Complete and Incomplete Miscibility -- 1.6.3 Thermodynamic Modelling of Intermediate Compound Formation -- 1.6.4 Retrograde Solubility, Retrograde Melting and Spinodal Decomposition -- 1.7 Solution Thermodynamics and Structural and Physical Properties of Selected Semiconductor Systems -- 1.7.1 Introductory Remarks -- 1.7.2 Au-Ag and Au-Cu Alloys -- 1.7.3 Silicon and Germanium -- 1.7.4 Silicon-Germanium Alloys -- 1.7.5 Silicon- and Germanium-Binary Alloys with Group III and Group IV Elements -- 1.7.6 Silicon-Tin and Germanium-Tin Alloys -- 1.7.7 Carbon and Its Polymorphs -- 1.7.8 Silicon Carbide -- 1.7.9 Selenium-Tellurium Alloys -- 1.7.10 Binary and Pseudo-binary Selenides and Tellurides -- 1.7.11 Arsenides, Phosphides and Nitrides -- 1.8 Size-Dependent Properties, Quantum Size Effects and Thermodynamics of Nanomaterials -- Appendix. Use of Electrochemical Measurements for the Determination of the Thermodynamic Functions of Semiconductors -- References -- Chapter 2 Point Defects in Semiconductors -- 2.1 Introduction -- 2.2 Point Defects in Ionic Solids: Modelling the Electrical Conductivity of Ionic Solids by Point Defects-Mediated Charge Transfer -- 2.3 Point Defects and Impurities in Elemental Semiconductors -- 2.3.1 Introduction -- 2.3.2 Vacancies and Self-Interstitials in Semiconductors with the Diamond Structure: an Attempt at a Critical Discussion of Their Thermodynamic and Transport Properties -- 2.3.3 Effect of Defect-Defect Interactions on Diffusivity: Trap-and-Pairing Limited Diffusion Processes -- 2.3.4 Light Impurities in Group IV Semiconductors: Hydrogen, Carbon, Nitrogen, Oxygen and Their Reactivity -- 2.4 Defects and Non-Stoichiometry in Compound Semiconductors -- 2.4.1 Structural and Thermodynamic Properties -- 2.4.2 Defect Identification in Compound Semiconductors -- 2.4.3 Non-Stoichiometry in Compound Semiconductors -- References -- Chapter 3 Extended Defects in Semiconductors and Their Interactions with Point Defects and Impurities -- 3.1 Introduction -- 3.2 Dislocations in Semiconductors with the Diamond Structure -- 3.2.1 Geometrical Properties -- 3.2.2 Energy of Regular Straight Dislocations -- 3.2.3 Dislocation Motion -- 3.2.4 Dislocation Reconstruction -- 3.2.5 Electronic Structure of Dislocations in Si and Ge, Theoretical Studies and Experimental Evidences -- 3.3 Dislocations in Compound Semiconductors -- 3.3.1 Electronic Structure of Dislocations in Compound Semiconductors -- 3.4 Interaction of Defects and Impurities with Extended Defects -- 3.4.1 Introduction -- 3.4.2 Thermodynamics of Defect Interactions with Extended Defects -- 3.4.3 Thermodynamics of Interaction of Neutral Defects and Impurities with EDs. 3.4.4 Kinetics of Interaction of Point Defects, Impurities and Extended Defects: General Concepts -- 3.4.5 Kinetics of Interaction Reactions: Reaction Limited Processes -- 3.4.6 Kinetics of Interaction Reactions: Diffusion-Limited Reactions -- 3.5 Interaction of Atomic Defects with Extended Defects: Theoretical and Experimental Evidence -- 3.5.1 Interaction of Point Defects with Extended Defects -- 3.5.2 Hydrogen-Dislocation Interaction in Silicon -- 3.5.3 Interaction of Oxygen with Dislocations -- 3.6 Segregation of Impurities at Surfaces and Interfaces -- 3.6.1 Introduction -- 3.6.2 Grain Boundaries in Polycrystalline Semiconductors -- 3.6.3 Structure of Grain Boundaries and Their Physical Properties -- 3.6.4 Segregation of Impurities at Grain Boundaries and Their Influence on Physical Properties -- 3.7 3D Defects: Precipitates, Bubbles and Voids -- 3.7.1 Thermodynamic and Structural Considerations -- 3.7.2 Oxygen and Carbon Segregation in Silicon -- 3.7.3 Silicides Precipitation -- 3.7.4 Bubbles and Voids -- References -- Chapter 4 Growth of Semiconductor Materials -- 4.1 Introduction -- 4.2 Growth of Bulk Solids by Liquid Crystallization -- 4.2.1 Growth of Single Crystal and Multicrystalline Ingots by Liquid Phase Crystallization -- 4.2.2 Growth of Single Crystals or Multicrystalline Materials by Liquid Crystallization Processes: Impact of Environmental Interactions on the Chemical Quality -- 4.2.3 Growth of Bulk Solids by Liquid Crystallization Processes: Solubility of Impurities in Semiconductors and Their Segregation -- 4.2.4 Growth of Bulk Solids by Liquid Crystallization Processes: Pick-Up of Impurities -- 4.2.5 Constitutional Supercooling -- 4.2.6 Growth Dependence of the Impurity Pick-Up and Concentration Profiling -- 4.2.7 Purification of Silicon by Smelting with Al. 4.3 Growth of Ge-Si Alloys, SiC, GaN, GaAs, InP and CdZnTe from the Liquid Phase -- 4.3.1 Growth of Si-Ge Alloys -- 4.3.2 Growth of SiC from the Liquid Phase -- 4.3.3 Growth of GaN from the Liquid Phase -- 4.3.4 Growth of GaAs, InP, ZnSe and CdZnTe -- 4.4 Single Crystal Growth from the Vapour Phase -- 4.4.1 Generalities -- 4.4.2 Growth of Silicon, ZnSe and Silicon Carbide from the Vapour Phase -- 4.4.3 Epitaxial Growth of Single Crystalline Layers of Elemental and Compound Semiconductors -- 4.5 Growth of Poly/Micro/Nano-Crystalline Thin Film Materials -- 4.5.1 Introduction -- 4.5.2 Growth of Nanocrystalline/Microcrystalline Silicon -- 4.5.3 Growth of Silicon Nanowires -- 4.5.4 Growth of Films of CdTe and of Copper Indium (Gallium) Selenide (CIGS) -- References -- Chapter 5 Physical Chemistry of Semiconductor Materials Processing -- 5.1 Introduction -- 5.2 Thermal Annealing Processes -- 5.2.1 Thermal Decomposition of Non-stoichiometric Amorphous Phases for Nanofabrication Processes -- 5.2.2 Other Problems of a Thermodynamic or Kinetic Nature -- 5.3 Hydrogen Passivation Processes -- 5.4 Gettering and Defect Engineering -- 5.4.1 Introduction -- 5.4.2 Thermodynamics of Gettering -- 5.4.3 Physics and Chemistry of Internal Gettering -- 5.4.4 Physics and Chemistry of External Gettering -- 5.5 Wafer Bonding -- References -- Index -- EULA. 9781118514573 print version oai:cds.cern.ch:2300840 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4035986 ebook ebook EBL201801 Other Fields of Physics SzGeCERN BOOK n 201803 201801 21 PUBLIC BOOK DELETED 2300824 SzGeCERN 20191219215654.0 9781780740423 electronic version electronic version 9781851688289 electronic version electronic version 9781851688289 print version oai:cds.cern.ch:2300824 cerncds:BOOK EBL 1792179 eng QE31 .G822 2012 525 Gribbin, John Planet earth a beginner's guide London Oneworld 2012 120 p ebook Beginner's guides A Beginner’s Guide -- Title page -- Copyright page -- Contents -- Foreword -- 1 A brief history of terrestrial time -- 2 Our place in space -- 3 Drifting continents and spreading seas -- 4 What goes up must come down -- 5 Inside and outside the Earth -- 6 The changing Earth -- 7 Fire on Earth -- 8 Our changing planet -- 9 Our changing climate -- 10 Life and Earth -- Appendix 1: The Earth in numbers -- Appendix 2: The timescales of planet Earth -- Further reading -- Acknowledgements. In this incredible expedition into the origins, workings, and evolution of our home planet, John Gribbin, bestselling author of In Search of Schrödinger's Cat, The Scientists, and In Search of the Multiverse, does what he does best: taking four and a half billion years of mind-boggling science and digging out the best bits. From the physics of Newton and the geology of Wegener, to the environmentalism of Lovelock, this is a must read for Earth's scientists and residents alike. Trained as an astrophysicist at Cambridge University, John Gribbin is currently Visiting Fellow in Astronomy at the University of Sussex, England. EBL201801 Astrophysics and Astronomy SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1792179 ebook n 201803 21 PUBLIC BOOK DELETED 2300797 SzGeCERN 20210421205616.0 9783642121234 electronic version electronic version 9783642121234 print version 9783642121241 electronic version electronic version oai:cds.cern.ch:2300797 cerncds:BOOK EBL 993238 eng GA1-1776GB3-5030QE1- 526 Awange, Joseph L Algebraic geodesy and geoinformatics 2nd ed. Berlin Springer 2010 379 p ebook Preface to the first edition -- Preface to the second edition -- Foreword -- Contents -- Introduction -- Motivation -- Modern challenges -- Facing the challenges -- Concluding remarks -- Part I Algebraic symbolic and numeric methods -- Basics of ring theory -- Some applications to geodesy and geoinformatics -- Numbers from operational perspective -- Number rings -- Concluding remarks -- Basics of polynomial theory -- Polynomial equations -- Polynomial rings -- Polynomial objects as rings -- Operations ``addition'' and ``multiplication'' -- Factoring polynomials -- Polynomial roots -- Minimal polynomials -- Univariate polynomials with real coefficients -- Quadratic polynomials -- Cubic polynomials -- Quartic polynomials -- Methods for investigating roots -- Logarithmic and contour plots on complex plane -- Isograph simulator -- Application of inverse series -- Computation of zeros of polynomial systems -- Concluding remarks -- Groebner basis -- The origin -- Basics of Groebner basis -- Buchberger algorithm -- Mathematica computation of Groebner basis -- Maple computation of Groebner basis -- Concluding remarks -- Polynomial resultants -- Resultants: An alternative to Groebner basis -- Sylvester resultants -- Multipolynomial resultants -- F. Macaulay formulation: -- B. Sturmfels' formulation -- The Dixon resultant -- Basic concepts -- Formulation of the Dixon resultant -- Dixon's generalization of the Cayley-Bézoutmethod -- Improved Dixon resultant - Kapur-Saxena-Yang method -- Heuristic methods to accelerate the Dixon resultant -- Early discovery of factors: the EDF method -- Concluding remarks -- Linear homotpy -- Introductory remarks -- Background to homotopy -- Definition and basic concepts -- Solving nonlinear equations via homotopy -- Tracing homotopy path as initial value problem -- Types of linear homotopy -- Fixed point homotopy. Newton homotopy -- Start system for polynomial systems -- Concluding remarks -- Solutions of Overdetermined Systems -- Estimating geodetic and geoinformatics unknowns -- Algebraic LEast Square Solution (ALESS) -- Transforming overdetermined systems to determined -- Solving the determined system -- Gauss-Jacobi combinatorial algorithm -- Combinatorial approach: the origin -- Linear and nonlinear Gauss-Markov models -- Gauss-Jacobi combinatorial formulation -- Combinatorial solution of nonlinear Gauss-Markov model -- Construction of minimal combinatorial subsets -- Optimization of combinatorial solutions -- The Gauss-Jacobi combinatorial algorithm -- Concluding remarks -- Extended Newton-Raphson method -- Introductory remarks -- The standard Newton-Raphson approach -- Examples of limitations of the standard approach -- Overdetermined polynomial systems -- Overdetermined non-polynomial system -- Determined polynomial system -- Underdetermined polynomial system -- Extending the Newton-Raphson approach using pseudoinverse -- Applications of the Extended Newton-Raphson method -- Concluding remarks -- Procrustes solution -- Motivation -- Procrustes: Origin and applications -- Procrustes and the magic bed -- Multidimensional scaling -- Applications of Procrustes in medicine -- Gene recognition -- Identification of malaria parasites -- Partial procrustes solution -- Conventional formulation -- Partial derivative formulation -- The General Procrustes solution -- Extended general Procrustes solution -- Mild anisotropy in scaling -- Strong anisotropy in scalling -- Weighted Procrustes transformation -- Concluding remarks -- Part II Applications to geodesy and geoinformatics -- LPS-GNSS orientations and vertical deflections -- Introductory remarks -- Positioning systems -- Global positioning system (GPS) -- Local positioning systems (LPS). Local datum choice in an LPS 3-D network -- Relationship between global and local level reference frames -- Observation equations -- Three-dimensional orientation problem -- Procrustes solution of the orientation problem -- Determination of vertical deflection -- Example: Test network Stuttgart Central -- Concluding remarks -- Cartesian to ellipsoidal mapping -- Introductory remarks -- Mapping topographical points onto reference ellipsoid -- Mapping geometry -- Minimum distance mapping -- Grafarend-Lohse's mapping of T2-3muEa,a,b2 -- Groebner basis' mapping of T2-3muEa,a,b2 -- Extended Newton-Raphson's mapping of T2-3muEa,a,b2 -- Concluding remarks -- Positioning by ranging -- Applications of distances -- Ranging by global navigation satellite system (GNSS) -- The pseudo-ranging four-points problem -- Sturmfels' approach -- Groebner basis approach -- Ranging to more than four GPS satellites -- Extended Newton-Raphson solution -- Homotopy solution of GPS N-point problem -- Least squares versus Gauss-Jacobi combinatorial -- Ranging by local positioning systems (LPS) -- Planar ranging -- Conventional approach -- Sylvester resultants approach -- Reduced Groebner basis approach -- Planar ranging to more than two known stations -- ALESS solution of overdetermined planar ranging problem -- Three-dimensional ranging -- Closed form three-dimensional ranging -- Conventional approaches -- Solution by elimination approach-2 -- Groebner basis approach -- Polynomial resultants approach -- N-point three-dimensional ranging -- ALESS solution -- Extended Newton-Raphson's solution -- Concluding remarks -- Positioning by resection methods -- Resection problem and its importance -- Geodetic resection -- Planar resection -- Conventional analytical solution -- Groebner basis approach -- Sturmfels' resultant approach -- Three-dimensional resection -- Exact solution. Solution of Grunert's distance equations -- Groebner basis solution of Grunert's equations -- Polynomial resultants' solution of Grunert's distance equations -- Linear homotopy solution -- Grafarend-Lohse-Schaffrin approach -- 3d-resection to more than three known stations -- Photogrammetric resection -- Grafarend-Shan Möbius photogrammetric resection -- Algebraic photogrammetric resection -- Concluding remarks -- Positioning by intersection methods -- Intersection problem and its importance -- Geodetic intersection -- Planar intersection -- Conventional solution -- reduced Groebner basis solution -- Three-dimensional intersection -- Closed form solution -- Conventional solution -- Reduced Groebner basis solution -- Sturmfels' resultants solution -- Intersection to more than three known stations -- Photogrammetric intersection -- Grafarend-Shan Möbius approach -- Commutative algebraic approaches -- Concluding remarks -- GNSS environmental monitoring -- Satellite environmental monitoring -- GNSS remote sensing -- Space borne GNSS meteorology -- Ground based GNSS meteorology -- Refraction (bending) angles -- Transformation of trigonometric equations to algebraic -- Algebraic determination of bending angles -- Application of Groebner basis -- Sylvester resultants solution -- Algebraic analysis of some CHAMP data -- Concluding remarks -- Algebraic diagnosis of outliers -- Outliers in observation samples -- Algebraic diagnosis of outliers -- Outlier diagnosis in planar ranging -- Diagnosis of multipath error in GNSS positioning -- Concluding remarks -- Datum transformation problems -- The 7-parameter datum transformation and its importance -- Algebraic solution of the 7-parameter transformation problem -- Groebner basis transformation -- Dixon resultant solution -- Gauss-Jacobi combinatorial transformation -- The 9-parameter (affine) datum transformation. Algebraic solution of the 9-parameter transformation -- The 3-point affine transformation problem -- Simplifications for the symbolic solution -- Symbolic solution with Dixon resultant -- Symbolic solution with reduced Groebner basis -- The N-points problem -- ALESS approach to overdetermined cases -- Homotopy solution of the ALESS-determinedmodel -- Procrustes solution -- Concluding remark -- Appendix -- Appendix A-1: Definitions -- Appendix A-2: C. F. Gauss combinatorial approach -- Appendix A-3: Linear homotopy -- Appendix A-4: Determined system of the 9-parameter transformation N point problem -- References -- Index. The book presents modern and efficient methods for solving Geodetic and Geoinformatics algebraic problems. EBL201801 Astrophysics and Astronomy SzGeCERN EBL Computer science -- Mathematics EBL Earth sciences -- Mathematics EBL Electronic books -- local EBL Geodesy -- Mathematical models BOOK Grafarend, E W Paláncz, B Zaletnyik, P https://cds.cern.ch/auth.py?r=EBLIB_P_993238 ebook n 201803 21 PUBLIC https://catalogue.library.cern/legacy/2300797 BOOK MIGRATED 2300781 SzGeCERN 20200222231825.0 9781441965967 electronic version electronic version 9781441965967 print version 9781441965974 electronic version electronic version oai:cds.cern.ch:2300781 cerncds:BOOK eng TK7888.4R856-857TK78 621.3815 Yoo, Hoi-Jun Bio-medical CMOS ICs Boston, MA Springer 2011 526 p Integrated circuits and systems Preface -- Contents -- Contributors -- 1 Introduction to Bio-Medical CMOS IC -- 1.1 Introduction to Bio-Medical CMOSIC -- 1.2 Architecture of Sensor Systems with Bio-medical CMOS IC -- 1.3 Applications and Future Trends -- 1.4 Organization of the Book -- References -- Part I Vital Signal Sensing and Processing -- 2 Introduction to Bioelectricity -- 2.1 Introduction -- 2.2 Electrical Properties of the Human body -- 2.2.1 Cell Membrane -- 2.2.2 Membrane Potential -- 2.2.3 Equivalent Circuit Model for the Plasma Membrane -- 2.2.4 Graded Response of Membrane Potential -- 2.2.5 Action Potential -- 2.2.6 Synaptic Transmission -- 2.3 Equivalent Circuit Model of Tissues and Organs -- 2.4 Biomedical Devices -- 2.4.1 Electrocardiography -- 2.4.2 Electroencephalography -- 2.4.3 Electromyography -- 2.5 Current Research Trends in Biomedical Electrical Instruments -- References -- 3 Biomedical Electrodes For Biopotential Monitoring and Electrostimulation -- 3.1 Introduction -- 3.2 Electrical Properties of Electrode-Skin Interface -- 3.2.1 The Electrode-Electrolyte Interface -- 3.2.1.1 The Electrode-Electrolyte Potential -- 3.2.1.2 The Electrode-Electrolyte Impedance -- 3.2.1.3 Complex Impedance Plot -- 3.2.1.4 Bode Plot -- 3.2.1.5 Polarization -- 3.2.1.6 Transient Response and Tissue Damage -- 3.2.1.7 Limit Voltages and Currents of Linearity -- 3.2.1.8 Electrode Metals -- 3.2.2 The Skin -- 3.2.2.1 Structure of the Skin -- 3.2.2.2 Electrical Properties of the Skin -- 3.2.2.3 The Skin's Parallel Capacitance, CSP -- 3.2.2.4 The Skin's Parallel Resistance, RSP -- 3.3 Electrode Design -- 3.3.1 External Biosignal Monitoring Electrodes -- 3.3.1.1 Historical Background -- 3.4 Modern Disposable Electrodes -- 3.5 Solid Conductive Adhesive Electrodes -- 3.6 Wearable Electrodes for Personalized Health -- 3.6.1 External Electrostimulation Electrodes. 3.6.1.1 Historical Background -- 3.6.1.2 Current Density Considerations -- 3.6.1.3 Modern Electrode Designs -- 3.7 Implant Electrodes -- 3.7.1 Historical Background -- 3.7.2 Some Modern Electrode Designs -- 3.7.3 Microelectrodes -- 3.8 Electrode Standards -- 3.8.1 Standards for Biosignal Monitoring Electrodes -- 3.8.1.1 Standards for Disposable ECG electrodes. ANSI/AAMI EC 12 (2000) -- 3.8.2 Standards for Stimulation Electrodes -- 3.8.2.1 Standards for Automatic External Defibrillators and Remote-Control Defibrillators. ANSI/AAMI DF 80 (2003) -- 3.8.2.2 Standards for Electrosurgical Devices. ANSI/AAMI HF 18 (2001) -- 3.9 Summary -- References -- 4 Readout Circuits -- 4.1 Introduction -- 4.2 Biopotential Acquisition -- 4.2.1 Biopotential Signals -- 4.2.2 Biopotential Electrodes -- 4.2.3 Interference Theory -- 4.2.4 Noise Considerations -- 4.3 How Application Affects the Choice of Instrumentation Amplifier Topology -- 4.4 Power Efficient Instrumentation Amplifier Topologies for Biopotential Signal Extraction -- 4.4.1 Limitations of Existing Off-the-shelf Instrumentation Amplifier Topologies -- 4.4.2 Instrumentation Amplifiers Utilizing Pseudo Resistors -- 4.4.3 Introduction to Chopper Modulation -- 4.4.4 Chopper Modulating Amplifiers for Biopotential Signal Extraction -- 4.4.5 Summary and Comparison of Topologies -- 4.5 Current Mode Instrumentation Amplifiers -- 4.5.1 Open-Loop Current Mode Instrumentation Amplifiers -- 4.5.2 Closed-Loop Current Mode Instrumentation Amplifiers (Current Balancing/Feedback Instrumentation Amplifiers) -- 4.5.3 Chopper Modulated Current Balancing Instrumentation Amplifiers -- 4.6 Examples of ICs for Biopotential Acquisition -- 4.7 Conclusion -- References -- 5 Low-Power ADCs for Bio-Medical Applications -- 5.1 ADC Specifications -- 5.1.1 Ideal ADC Specifications -- 5.1.2 Practical ADC Specifications. 5.1.3 ADC Implementation Issues -- 5.2 Charge-Sharing Successive Approximation ADCs -- 5.2.1 Basic Operation Principle -- 5.2.1.1 Input Sampling -- 5.2.1.2 Successive Approximation, MSB -- 5.2.1.3 Successive Approximation, MSB-1 -- 5.2.1.4 Successive Approximation, Remaining Bits -- 5.2.1.5 First Block Diagram -- 5.2.2 Asynchronous Operation -- 5.2.3 Binary Scaled Capacitor Array -- 5.2.4 Comparator Noise -- 5.2.4.1 Comparator Offset -- 5.2.5 Implementation -- 5.3 Comparator-Based Asynchronous Binary Search ADCs -- 5.3.1 Operating Principle -- 5.3.2 Implemented Two-Step 1-b Coarse 6-b Fine Architecture -- 5.3.2.1 Clock Generation and A/D-Converter Timing -- 5.3.2.2 Dynamic Comparator with Embedded Threshold and Encoding -- 5.3.2.3 Passive Track-and-Hold -- 5.3.2.4 Feedback D/A Converter -- 5.3.2.5 Calibration -- 5.3.2.6 Power Breakdown -- 5.3.3 Experimental Results -- 5.3.3.1 Layout Implementation -- 5.3.3.2 Measurement Setup -- 5.3.3.3 Measurement Results -- 5.3.3.4 Sensitivity to Environmental Parameters -- 5.3.3.5 Energy Efficiency -- 5.3.4 Summary -- 5.4 Conclusions -- References -- 6 Low Power Bio-Medical DSP -- 6.1 Introduction -- 6.2 ECG Signal Processor Design -- 6.2.1 Algorithm Overview -- 6.2.2 Hardware Implementation -- 6.3 Pre Processing -- 6.3.1 Filtering -- 6.3.2 Feature Extraction -- 6.3.3 ECG Skeleton -- 6.3.4 Segmentation Memory -- 6.4 Classification Processing -- 6.4.1 ECG Classification Algorithm -- 6.4.2 Micro Architecture of RISC -- 6.5 Post-processor -- 6.5.1 Huffman Coding -- 6.5.2 AES-128 -- 6.6 Low Energy Techniques -- 6.6.1 Heterogeneous Processor Integration -- 6.6.2 Low Supply Voltage Operation -- 6.6.3 Segmentation-Based Pipelined Operation -- 6.6.4 Clock Gating -- 6.6.5 On-Chip Memory Reduction -- References -- Part II Bio-Medical Wireless Communication -- 7 Short Distance Wireless Communications -- 7.1 Introduction. 7.2 Biomedical Telemetry Methods -- 7.2.1 Wave Propagation -- 7.2.1.1 EM Wave Propagation -- 7.2.1.2 Acoustic Wave Propagation -- 7.2.2 Conduction -- 7.2.3 Near-Field Coupling -- 7.2.3.1 Capacitive Links -- 7.2.3.2 Inductive Links -- 7.2.4 Near-Field versus Far-Field -- 7.3 Modulation Methods -- 7.3.1 Analog Modulation -- 7.3.1.1 AM -- 7.3.1.2 FM and PM -- 7.3.1.3 Discussion on Analog Modulation Methods -- 7.3.2 Analog Pulse Modulation Encoding -- 7.3.2.1 Pulse Amplitude Modulation (PAM) -- 7.3.2.2 Pulse Width/Duration Modulation (PWM or PDM) -- 7.3.2.3 Pulse Position Modulation (PPM) -- 7.3.2.4 Pulse Frequency Modulation (PFM) -- 7.3.2.5 Analog Multiple Channel Modulation Methods -- 7.3.3 Digital Pulse Modulation Encoding -- 7.3.3.1 Pulse Code Modulation (PCM) -- 7.3.3.2 Line Encoding -- 7.3.4 Digital Modulation -- 7.3.4.1 ASK -- 7.3.4.2 FSK -- 7.3.4.3 PSK -- 7.3.4.4 Digital Multiple Channel Transmission -- 7.3.5 Analog or Digital Modulation? -- 7.3.6 Data Rates -- 7.4 Compression -- 7.4.1 Loss-Less Compression Algorithms -- 7.4.2 Lossy Compression Algorithms -- 7.5 Error Correction -- 7.5.1 Block Codes -- 7.5.2 Convolutional Codes -- 7.6 Carrier Frequency Selection for RF Links -- 7.6.1 Tissue Absorption vs. Antenna Size -- 7.6.2 Antenna Size vs. Bandwidth Requirements -- 7.6.3 Regulations vs. Bandwidth Requirements -- 7.7 Biomedical Telemetry Applications -- 7.7.1 Physiological Monitoring -- 7.7.1.1 Bladder Pressure Monitoring -- 7.7.1.2 Wireless ECG Monitoring Integrated in Textile -- 7.7.1.3 Textile Integrated Breathing and ECG Monitoring System -- 7.7.1.4 Pacemaker Monitoring and Programming -- 7.7.1.5 Inductive Power and Data Transmission for Wireless Endoscopy -- 7.7.1.6 Wireless Capsule Endoscopy: Given Imaging Pillcam -- 7.7.2 Orthopedic Implant Monitoring and Control -- 7.7.2.1 Distraction Nail Driver. 7.7.2.2 Hip Prosthesis Fixation Analysis -- 7.7.2.3 Telemetry IC Design for Orthopedic Monitoring -- 7.7.3 Nerve Implant Monitoring and Stimulation -- 7.7.3.1 Cochlear Implants -- 7.7.3.2 Retinal Prosthesis -- 7.7.4 General Monitoring and Identification -- 7.7.4.1 RFID -- 7.7.4.2 Portable Heart Rate Monitoring -- 7.7.5 Overview of Commercial Biomedical Transmitters -- 7.7.5.1 Zarlink ZL70101 -- 7.7.5.2 Zarlink ZL70250 -- 7.7.5.3 Nordic NR24L01+ -- 7.7.5.4 Other Manufacturers -- References -- 8 Bio-Medical Application of WBAN: Trends and Examples -- 8.1 The New Wave of Healthcare Systems -- 8.2 An Enabling Technology: Body Area Networks -- 8.3 Ambulatory Cardiac Monitoring -- 8.3.1 Trends -- 8.3.2 Snapshot on the State-of-the-Art -- 8.3.3 Detailed View on IMEC Low-Power Ambulatory ECG Prototypes -- 8.4 Wireless Sleep Monitoring -- 8.4.1 Trends -- 8.4.2 Snapshot on the State-of-the-Art -- 8.4.3 Detailed View on IMEC Wireless Sleep Staging Prototype -- 8.5 Mental Health and Emotion Monitoring -- 8.5.1 Trends -- 8.5.2 Snapshot on the State-of-the-Art -- 8.5.3 Detailed View on IMEC Wireless ANS Monitoring Prototype -- 8.6 Remaining Challenges -- 8.6.1 Ultra-Low-Power Technologies -- 8.6.2 Increasing Functionality -- 8.6.3 Autonomous Systems -- 8.6.4 Multi-Parameter Sensors -- 8.6.5 Dry Electrodes -- 8.6.6 Integration and Packaging Technology -- 8.7 Conclusions -- References -- 9 Body Channel Communication for Energy-Efficient BAN -- 9.1 Introduction -- 9.1.1 Motivation -- 9.1.2 Human Body Communications -- 9.2 Channel Characteristics -- 9.3 Design of Wideband Signaling Communication Link -- 9.4 Wideband Signaling Transceiver -- 9.4.1 WBS Receiver AFE -- 9.4.2 All-Digital Quadratic Sampling CDR Circuit -- 9.4.3 Direct Digital Transmitter -- 9.5 Measurement Results -- 9.5.1 WBS Receiver AFE -- 9.5.2 WBS Transceiver -- 9.6 System Operation Demonstration. 9.6.1 Introduction. This book is based on a graduate course entitled, Ubiquitous Healthcare Circuits and Systems, that was given by one of the editors. It includes an introduction and overview to biomedical ICs and provides information on the current trends in research. EBLlink deleted SzGeCERN Engineering BOOK van Hoof, Chris n 201803 21 PUBLIC BOOK DELETED 2300773 SzGeCERN 20191106223625.0 9781846288265 electronic version electronic version 9781846288265 print version 9781846288272 electronic version electronic version oai:cds.cern.ch:2300773 cerncds:BOOK EBL 428980 eng QA75.5-76.95QA76.76. 910.2854678 Scharl, Arno The geospatial web how geobrowsers, social software and the web 2 0 are shaping the network society London Springer 2007 293 p ebook Advanced information and knowledge processing 978-1-84628-827-2_BookFrontmatter_OnlinePDF.pdf -- 978-1-84628-827-2_1_OnlinePDF.pdf -- 978-1-84628-827-2_2_OnlinePDF.pdf -- 978-1-84628-827-2_3_OnlinePDF.pdf -- 978-1-84628-827-2_4_OnlinePDF.pdf -- 978-1-84628-827-2_5_OnlinePDF.pdf -- 978-1-84628-827-2_6_OnlinePDF.pdf -- 978-1-84628-827-2_7_OnlinePDF.pdf -- 978-1-84628-827-2_8_OnlinePDF.pdf -- 978-1-84628-827-2_9_OnlinePDF.pdf -- 978-1-84628-827-2_10_OnlinePDF.pdf -- 978-1-84628-827-2_11_OnlinePDF.pdf -- 978-1-84628-827-2_12_OnlinePDF.pdf -- 978-1-84628-827-2_13_OnlinePDF.pdf -- 978-1-84628-827-2_14_OnlinePDF.pdf -- 978-1-84628-827-2_15_OnlinePDF.pdf -- 978-1-84628-827-2_16_OnlinePDF.pdf -- 978-1-84628-827-2_17_OnlinePDF.pdf -- 978-1-84628-827-2_18_OnlinePDF.pdf -- 978-1-84628-827-2_19_OnlinePDF.pdf -- 978-1-84628-827-2_20_OnlinePDF.pdf -- 978-1-84628-827-2_21_OnlinePDF.pdf -- 978-1-84628-827-2_22_OnlinePDF.pdf -- 978-1-84628-827-2_23_OnlinePDF.pdf -- 978-1-84628-827-2_24_OnlinePDF.pdf -- 978-1-84628-827-2_25_OnlinePDF.pdf -- 978-1-84628-827-2_BookBackmatter_OnlinePDF.pdf. The Geospatial Web will have a profound impact on managing knowledge, structuring work flows within and across organizations, and communicating with like-minded individuals in virtual communities. The enabling technologies for the Geospatial Web are geo-browsers such as NASA World Wind, Google Earth and Microsoft Live Local 3D. These three-dimensional platforms revolutionize the production and consumption of media products. They not only reveal the geographic distribution of Web resources and services, but also bring together people of similar interests, browsing behavior, or geographic location. This book summarizes the latest research on the Geospatial Web's technical foundations, describes information services and collaborative tools built on top of geo-browsers, and investigates the environmental, social and economic impacts of geospatial applications. The role of contextual knowledge in shaping the emerging network society deserves particular attention. By integrating geospatial and semantic technology, such contextual knowledge can be extracted automatically - for example, when processing Web documents to identify relevant content for customized news services. EBL201801 Computing and Computers SzGeCERN BOOK Scharl, Arno Tochtermann, Klaus https://cds.cern.ch/auth.py?r=EBLIB_P_428980 ebook n 201803 21 PUBLIC BOOK DELETED 2300768 SzGeCERN 20210421205620.0 9783540222637 electronic version electronic version 9783540222637 print version 9783540266761 electronic version electronic version oai:cds.cern.ch:2300768 cerncds:BOOK EBL 303981 eng GA1-1776GB3-5030QE1- 526 Jensen, Ryan R Geo-spatial technologies in urban environments policy, practice, and pixels 2nd ed. Berlin Springer 2004 185 p ebook Using Geospatial Technologies in Urban Environments simultaneously fills two gaping vacuums in the scholarly literature on urban geography. The first is the clear and straightforward application of geospatial technologies to practical urban issues. By using remote sensing and statistical techniques (correlation-regression analysis, the expansion method, factor analysis, and analysis of variance), the - thors of these 12 chapters contribute significantly to our understanding of how geospatial methodologies enhance urban studies. For example, the GIS Specialty Group of the Association of American Geographers (AAG) has the largest m- bership of all the AAG specialty groups, followed by the Urban Geography S- cialty Group. Moreover, the Urban Geography Specialty Group has the largest number of cross-memberships with the GIS Specialty Group. This book advances this important geospatial and urban link. Second, the book fills a wide void in the urban-environment literature. Although the Annals of the Association of American Geographers has recently established an editorship devoted to human environmental issues ("Nature and Society"), re- tively few of the articles in this section of the journal have focused specifically on urban-environmental topics. Likewise, of the textbooks in urban geography p- lished over the past decade (Knox, 1994; Pacione, 2001; Kaplan, Wheeler, and Holloway, 2004), none has offered a single chapter on urban-environmental qu- tions, and only passing references to such topics as urban heat islands. EBL201801 Astrophysics and Astronomy SzGeCERN EBL Cities and towns -- Geographic information systems EBL Electronic books -- local BOOK Gatrell, Jay D McLean, Daniel https://cds.cern.ch/auth.py?r=EBLIB_P_303981 ebook n 201803 21 PUBLIC https://catalogue.library.cern/legacy/2300768 BOOK MIGRATED 2300607 SzGeCERN 20210421205626.0 9783319651774 print version 9783319651798 electronic version electronic version DOI 10.1007/978-3-319-65179-8 ebook oai:cds.cern.ch:2300607 cerncds:BOOK eng QB600-701 523.4 23 Planetary geology Cham Springer 2018 ebook Springer Praxis books From the Contents: Geologic tools (fundamental concepts): Stratigraphy and planetary chronostratigraphy + comparative planetology approach -- Exploration Tools: remote sensing, in-situ, remote measurements in planetary exploration -- Cartography tools: geologic and geospatial mapping. This book provides an up-to-date interdisciplinary geoscience-focused overview of solid solar system bodies and their evolution, based on the comparative description of processes acting on them. Planetary research today is a strongly multidisciplinary endeavor with efforts coming from engineering and natural sciences. Key focal areas of study are the solid surfaces found in our Solar System. Some have a direct interaction with the interplanetary medium and others have dynamic atmospheres. In any of those cases, the geological records of those surfaces (and sub-surfaces) are key to understanding the Solar System as a whole: its evolution and the planetary perspective of our own planet. This book has a modular structure and is divided into 4 sections comprising 15 chapters in total. Each section builds upon the previous one but is also self-standing. The sections are:  Methods and tools Processes and Sources  Integration and Geological Syntheses Frontiers The latter covers the far-reaching broad topics of exobiology, early life, extreme environments and planetary resources, all areas where major advancements are expected in the forthcoming decades and both key to human exploration of the Solar System. The target readership includes advanced undergraduate students in geoscience-related topics with no specific planetary science knowledge; undergraduates in other natural science domains (e.g. physics, astronomy, biology or chemistry); graduates in engineering and space systems design who want to complement their knowledge in planetary science. The authors’ backgrounds span a broad range of topics and disciplines: rooted in Earth geoscience, their expertise covers remote sensing and cartography, field mapping, impact cratering, volcanology and tectonics, sedimentology and stratigraphy exobiology and life in extreme environments, planetary resources and mining. Several generations of planetary scientists are cooperating to provide a modern view on a discipline developed from Earth during and through Space exploration. Physics and astronomy SPR201801 SzGeCERN Astrophysics and Astronomy SPR Earth sciences SPR Planetology SPR Astrobiology SPR Geophysics SPR Earth Sciences SPR Geophysics and Environmental Physics BOOK Rossi, Angelo ed. Gasselt, Stephan ed. SPR n 201803 201801 21 PUBLIC https://catalogue.library.cern/legacy/2300607 BOOK MIGRATED 2300606 SzGeCERN 20210421205626.0 9783319651477 print version 9783319651484 electronic version electronic version DOI 10.1007/978-3-319-65148-4 ebook oai:cds.cern.ch:2300606 cerncds:BOOK eng QB4 520 23 Baars, Jacob W M Radio telescope reflectors historical development of design and construction Cham Springer 2018 ebook Astrophysics and space science library 0067-0057 447 Introduction -- Evolution of the Telescope -- Birth of Radio Astronomy -- Structural Design of Reflector Antennas - Homology -- Emergence of Millimeter-wavelength Telescopes -- Submillimeter-wavelength Telescopes -- Alternative Reflector Geometries -- Electromagnetic Aspects of the Reflector Antenna -- Design and Optimization methods -- Verification - Surface and Pointing Measurement methods -- Realization. This book demonstrates how progress in radio astronomy is intimately linked to the development of reflector antennas of increasing size and precision. The authors describe the design and construction of major radio telescopes as those in Dwingeloo, Jodrell Bank, Parkes, Effelsberg and Green Bank since 1950 up to the present as well as millimeter wavelength telescopes as the 30m MRT of IRAM in Spain, the 50m LMT in Mexico and the ALMA submillimeter instrument. The advances in methods of structural design and coping with environmental influences (wind, temperature, gravity) as well as application of new materials are explained in a non-mathematical, descriptive and graphical way along with the story of the telescopes. Emphasis is placed on the interplay between astronomical and electromagnetic requirements and structural, mechanical and control solutions. A chapter on management aspects of large telescope projects closes the book. The authors address a readership with interest in the progress of engineering solutions applied to the development of radio telescope reflectors and ground station antennas for satellite communication and space research. The book will also be of interest to historians of science and engineering with an inclination to astronomy. Physics and astronomy SPR201801 SzGeCERN Astrophysics and Astronomy SPR Microwaves SPR Optical engineering SPR Technology SPR Microwaves, RF and Optical Engineering SPR History of Technology BOOK Kärcher, Hans J SPR n 201803 201801 21 PUBLIC https://catalogue.library.cern/legacy/2300606 BOOK MIGRATED 2300476 SzGeCERN 20210422083517.0 9783319698229 print version 9783319698236 electronic version electronic version DOI 10.1007/978-3-319-69823-6 e-proceedings oai:cds.cern.ch:2300476 cerncds:CONF eng QC221-246 534 23 20170525 14th International Conference on Acoustics and Vibration of Mechanical Structures Timisoara, Romania 25 - 26 May 2017 2017 timisoara20170525 14 RO AVMS-2017 20170526 Cham Springer 2018 ebook Springer proceedings in physics 0930-8989 198 This book is a collection of papers presented at Acoustics and Vibration of Mechanical Structures 2017 – AVMS 2017 – highlighting the current trends and state-of-the-art developments in the field. It covers a broad range of topics, such as noise and vibration control, noise and vibration generation and propagation, the effects of noise and vibration, condition monitoring and vibration testing, modeling, prediction and simulation of noise and vibration, environmental and occupational noise and vibration, noise and vibration attenuators, as well as biomechanics and bioacoustics. The book also presents analytical, numerical and experimental techniques for evaluating linear and non-linear noise and vibration problems (including strong nonlinearity). It is primarily intended for academics, researchers and professionals, as well as PhD students in various fields of the acoustics and vibration of mechanical structures. Physics and astronomy SPR201801 SzGeCERN Other Fields of Physics SPR Acoustics SPR Vibration SPR Dynamical systems SPR Acoustical engineering SPR Engineering Acoustics SPR Vibration, Dynamical Systems, Control SPR Numerical and Computational Physics, Simulation CONFERENCE PROCEEDINGS Herisanu, Nicolae ed. Marinca, Vasile ed. AVMS-2017 Acronym SPR n 201803 201801 42 PUBLIC https://catalogue.library.cern/legacy/2300476 PROCEEDINGS MIGRATED 2300456 SzGeCERN 20210421205652.0 9783319677972 print version 9783319677989 electronic version electronic version DOI 10.1007/978-3-319-67798-9 ebook oai:cds.cern.ch:2300456 cerncds:BOOK eng QC174.7-175.36 621 23 Diffusive spreading in nature, technology and society Cham Springer 2018 ebook Epidemic Spreading -- Hot Brownian Motion: Experiment -- Nature-Inspired Transport Optimization -- The Neolithic Transition -- Spreading Innovations -- Expansion of Language Families -- The Expansion of Farming -- Spreading of Failures in the Internet and in Power Grids -- Analyzing Language Shift -- Search for Food of Birds, Fish and Insects -- Uphill Diffusion -- Hot Brownian Motion: Theory -- Dispersal in Plants and Animals -- Diffusive Transport in Non-Equilibrium Steady State -- A New Class of Superspreader -- Transport Systems Living Organisms -- Brain Structure Revealed by Diffusive Spread of Molecules -- NMR Versatility -- Spore Dispersal in Lower Organisms -- Diffusion Processes in Atmospheric Physics -- Language Migration. This book deals with randomly moving objects and their spreading. The objects considered are particles like atoms and molecules, just as living beings like humans, animals, plants, bacteria and even abstract entities like ideas, rumors, information, innovations and linguistic features. The book explores and communicates the laws behind these movements and reports about astonishing similarities and very specific features typical of the given object under considerations. Leading scientists in disciplines as different as archeology, epidemics, linguistics and sociology, in contact with their colleagues from engineering, natural sciences and mathematics, introduce into the phenomena of spreading as relevant for their fields. An introductory chapter on “Spreading Fundamentals” provides a common basis for all these considerations, with a minimum of mathematics, selected and presented for enjoying rather than frustrating the reader. Physics and astronomy SPR201801 SzGeCERN Other Fields of Physics SPR Epidemiology SPR Developmental biology SPR Geophysics SPR Applications of Nonlinear Dynamics and Chaos Theory SPR Developmental Biology SPR Geophysics and Environmental Physics BOOK Bunde, Armin ed. Caro, Jürgen ed. Kärger, Jörg ed. Vogl, Gero ed. SPR n 201803 201801 21 PUBLIC https://catalogue.library.cern/legacy/2300456 BOOK MIGRATED 2300451 SzGeCERN 20210421205653.0 9789811053696 print version 9789811053702 electronic version electronic version DOI 10.1007/978-981-10-5370-2 ebook oai:cds.cern.ch:2300451 cerncds:BOOK eng T57-57.97 519 23 Mathematical and statistical applications in life sciences and engineering Singapore Springer 2017 ebook Chapter 1. Perfectly Reliable and Secure Message Transmission -- Chapter 2. Hole: An Emerging Character in the Story of Radio k-Coloring Problem -- Chapter 3. Robust Control of Stochastic Structures using Minimum Norm Quadratic Partial Eigenvalue Assignment Technique -- Chapter 4. Single-time and multi-time Hamilton-Jacobi theory based on higher-order Lagrangians -- Chapter 5. On Wavelet Based Methods for Noise Reduction of cDNA Microarray Images -- Chapter 6. A Transformation for the Analysis of Unimodal Hazard Rate Lifetimes Data -- Chapter 7. The Power M-Gaussian Distribution: an R-Symmetric Analog of the Exponential-Power Distribution -- Chapter 8. Stochastic Volatility Models (SV) in the Analysis of Drought Periods -- Chapter 9. Nonparametric Estimation of Mean Residual Life Function Using Scale Mixtures -- Chapter 10. Something Borrowed, Something New: Precise Prediction of Outcomes from Diverse Genomic Profiles -- Chapter 11. Bivariate Frailty Model and Association Measure -- Chapter 12. On Bayesian Inference of P<(Y < X) for Weibull Distribution -- Chapter 13. Air pollution effects on clinical visits in small areas of Taiwan: a review of Bayesian spatio-temporal analyses -- Chapter 14. On Competing Risks With Masked Failures -- Chapter 15. Environmental applications based on Birnbaum-Saunders models -- Chapter 16. Response-Dependent Sampling and Observation of Life History Processes -- Chapter 17. Exact likelihood-based point and interval estimation for lifetime characteristics of Laplace distribution based on a time-constrained life-testing experiment. The book includes articles from eminent international scientists discussing a wide spectrum of topics of current importance in mathematics and statistics and their applications. It presents state-of-the-art material along with a clear and detailed review of the relevant topics and issues concerned. The topics discussed include message transmission, colouring problem, control of stochastic structures and information dynamics, image denoising, life testing and reliability, survival and frailty models, analysis of drought periods, prediction of genomic profiles, competing risks, environmental applications and chronic disease control. It is a valuable resource for researchers and practitioners in the relevant areas of mathematics and statistics. Mathematics and statistics SPR201801 SzGeCERN Mathematical Physics and Mathematics SPR Statistics for Life Sciences, Medicine, Health Sciences BOOK Adhikari, Avishek ed. Adhikari, Mahima ed. Chaubey, Yogendra ed. SPR n 201803 201801 21 PUBLIC https://catalogue.library.cern/legacy/2300451 BOOK MIGRATED 2300436 SzGeCERN 20210421205656.0 9783319653365 print version 9783319653389 electronic version electronic version DOI 10.1007/978-3-319-65338-9 ebook oai:cds.cern.ch:2300436 cerncds:BOOK eng QA315-316 QA402.3 QA402.5-QA402.6 515.64 23 City networks collaboration and planning for health and sustainability Cham Springer 2017 ebook Springer optimization and its applications 1931-6828 128 Smart Cities Enabling technologies for future living (P. Wlodarczak) -- City Networking in Urban Strategic Planning (F. Fontana) -- Network in Smart Cities from a Graph Theoretic Point of View (M. Haddad) -- An Evaluation of Measures for the Reduction of Carbon dioxide Emissions from Automobile Traffic in Central Tokyo  (K. Yamamoto, K. Shen).  - Using Social Media Data to Infer Urban Attitudes about Bicycling: An Explanatory Case Study of Washington DC (J. Hollander, Y. Shen).  - Sustainable Mobility (F. Kehagi) -- Sustainable Operation of Closed-loop Logistics Chain from an Economic and Environmental Performance Perspective (B.Y. Liu, H.D Yang) -- Bridging borders: integrating data analytics, modeling, simulation and gaming for inter-disciplinary assessment of health aspects in city networks (J.Raghothama, E. Moustaid, V.M. Shreenath, S.Meijer) -- Ageing in the Contemporary Urban Context: The Case of Older Residents in Genoa  (M. Palumbo, S. Poli) -- A Multicriteria Ranking of Thessaloniki’s Public Hospitals Based on Their Infrastructure Adequacy  (G. Chatzipoulidis, G. Aretoulis, G.Kalfakakou) -- Sustainable urban living and social capital(I. Daskalopoulou) -- Power distribution network planning optimization in smart cities (V.Dumbrava, T. Miclescu, G.C. Lazaroiou) -- Sustainable urban water management (A. Zafirakou) -- Introduction to Architectural Design Optimization (T. Wortmann and G. Nannicini). . Sustainable development within urban and rural areas, transportation systems, logistics, supply chain management, urban health, social services, and architectural design are taken into consideration in the cohesive network models provided in this book. The ideas, methods, and models presented consider city landscapes and quality of life conditions based on mathematical network models and optimization. Interdisciplinary Works from prominent researchers in mathematical modeling, optimization, architecture, engineering, and physics are featured in this volume to promote health and well-being through design.   Specific topics include: -          Current technology that form the basis of future living in smart cities -          Interdisciplinary design and networking of large-scale urban systems  -          Network communication and route traffic optimization -          Carbon dioxide emission reduction -          Closed-loop logistics chain management and operation -          Modeling the effect urban environments on aging -          Health care infrastructure -          Urban water system management -          Architectural design optimization Graduate students and researchers actively involved in architecture, engineering, building physics, logistics, supply chain management, and mathematical optimization will find the interdisciplinary work presented both informative and inspiring for further research. Mathematics and statistics SPR201801 SzGeCERN Mathematical Physics and Mathematics SPR Urban planning SPR City planning SPR Mathematical and Computational Engineering SPR Urbanism BOOK Karakitsiou, Athanasia ed. Migdalas, Athanasios ed. Rassia, Stamatina ed. Pardalos, Panos ed. SPR n 201803 201801 21 PUBLIC https://catalogue.library.cern/legacy/2300436 BOOK MIGRATED 2306224 SzGeCERN 20180302012623.0 DOI JACoW 10.18429/JACoW-ICALEPCS2017-THPHA141 oai:inspirehep.net:1655779 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d 2018-02-28T05:00:24Z marcxml oai:inspirehep.net:1655779 2018-02-27T17:07:05Z Inspire 1655779 eng Moschovakos, Paris INSPIRE-00529702 JACoW-00099751 Natl. Tech. U., Athens Brookhaven Natl. Lab. JACoW Design of the front-end detector control system of the ATLAS New Small Wheels 2018 2 p The ATLAS experiment will be upgraded during the next LHC Long Shutdown (LS2). The flagship upgrade is the New Small Wheel (NSW) [1], which consists of 2 disks of Muon Gas detectors. The detector technologies used are Micromegas (MM) and sTGC, providing a total of 16 layers of tracking and trigger. The Slow Control Adapter (SCA) is part of the Gigabit Transceiver (GBT) - “Radiation Hard Optical Link Project” family of chips designed at CERN, EP-ESE department [2,3], which will be used at the NSW upgrade. The SCA offers several interfaces to read analogue and digital inputs, and configure front-end Readout ASICs, FPGAs, or other chips. The design of the NSW Detector Control System (DCS) takes advantage of this functionality, as described in this paper. JACoW The foreseen upgrades of the LHC accelerator and the experiments will drastically increase the data and trigger rates. To cope with the vast and low latency data flow, the ATLAS small wheel muon detector will be replaced with a New Small Wheel. Among the upgrades needed, is a radiation tolerant Slow Control Adapter (GBT-SCA) ASIC dedicated for the on-detector control and monitoring. The ASIC employs various interfaces, making it flexible to match the needs of the different operations. On the backend, the Front-End Link eXchange system will be the interface between the data handling system and the detector front-end and trigger electronics. A dedicated slow control data component was developed as the middleware from FELIX to the end users. It is based on the OPC Unified Architecture protocol and it is comprised of an OPC-UA server, that will handle the slow control traffic from the control room to the GBT-SCA and vice versa. Ultimately, various scope-oriented OPC-UA clients, connected to the OPC-UA server, will be employed to configure and calibrate the ASICs, program the FPGAs, oversee the well-functioning of the boards and monitor the environmental parameters of the detector. JACoW CC-BY-3.0 http://creativecommons.org/licenses/by/3.0/ SzGeCERN Accelerators and Storage Rings JACoW ion JACoW detector JACoW interface JACoW electronics JACoW electron CERN CERN LHC ATLAS Koulouris, Aimilianos INSPIRE-00524960 JACoW-00099753 Natl. Tech. U., Athens Brookhaven Natl. Lab. ATLAS THPHA141 ICALEPCS2017 C17-10-08 2018 1387276 405663 http://cds.cern.ch/record/2306224/files/thpha141.pdf 13 2288115 barcelona20171008 THPHA141 ARTICLE ConferencePaper 0-0-0-1-1-0-1 2018-02-21 09:24:09 Invenio/1.1.2.1260-aa76f refextract/1.5.44 content.pdf;1 Kawamoto T., et al. New Small Wheel upgrade, Technical Design Report CDS link: 1 https://cds.cern.ch/record/1552862 doi:10.5170/CERN2009-006.342 Moreira P. et al. The GBT Project 2 1354939 doi:10.1088/1748-0221/10/03/C03034 Caratelli A., et al. The GBT-SCA, a radiation tolerant ASIC for detector control and monitoring applications in HEP experiments 3 CURATOR DOI:10.18429/JACoW-ICALEPCS2015-WEB3O02 S. Schlenker, et al. ICALEPCS’15, Melbourne, Australia 4 quasar - A Generic Framework for Rapid Development of OPC UA Servers 2015 CURATOR Bauer K. FELIX: the new detector readout system for the ATLAS experiment 5 https://cds.cern.ch/record/2287100 2017 2306218 SzGeCERN 20180302012622.0 DOI JACoW 10.18429/JACoW-ICALEPCS2017-MODPL07 oai:inspirehep.net:1655745 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d 2018-02-28T05:00:24Z marcxml oai:inspirehep.net:1655745 2018-02-27T10:52:08Z Inspire 1655745 eng Pinazza, Ombretta JACoW-00051323 opinazza@cern.ch INFN, Bologna CERN CERN, Geneva, Switzerland JACoW How low-cost devices can help on the way to ALICE upgrade 2018 4 p Cheap, ready to install and simple to configure, minicomputer and microcontroller boards have been in use in ALICE for a few years for specific, non-critical tasks, like integrating the environment sensors network in the experimental site, and to monitor and analyse clock signals. These systems have also been installed inside the ALICE experiment, in the presence of magnetic field and radiation, and subjected to a functionality test. While the major part of these devices proved to work correctly even under the experiment conditions, finally some weaknesses were revealed, thus excluding this class of devices from usage in the production setup. They have also played a role in the realization of scaled systems for the ALICE upgrade. With them, we have been able to simulate the presence of Front-End cards which are not yet available, allowing to proceed in the development of the software framework, of libraries and interfaces, in parallel with the production and validation of the hardware components. Being off-the-shelf and available everywhere in the world, they can be installed in remote institutes and laboratories participating to the collaboration. Some of the systems have been realised by students and trainees hosted at CERN for short periods of time. As well as being cheap and easy to procure, they proved to be a great didactic tool, allowing young collaborators to realise a complete system from scratch, integrate into a complex infrastructure and get a hands-on approach to modern control systems. JACoW The ambitious upgrade plan of the ALICE experiment expects a complete redesign of its data flow after the LHC shutdown scheduled for 2019, for which new electronics modules are being developed in the collaborating institutes. Access to prototypes is at present very limited and full scale prototypes are expected only close to the installation date. To overcome the lack of realistic HW, the ALICE DCS team built small-scale prototypes based on low-cost commercial components (Arduino, Raspberry PI), equipped with environmental sensors, and installed in the experiment areas around and inside the ALICE detector. Communication and control software was developed, based on the architecture proposed for the future detectors, including CERN JCOP FW and ETM WINCC OA. Data provided by the prototypes has been recorded for several months, in presence of beam and magnetic field. The challenge of the harsh environment revealed some insurmountable weaknesses, thus excluding this class of devices from usage in a production setup. They did prove, however, to be robust enough for test purposes, and are still a realistic test-bed for developers while the production of final electronics is continuing. JACoW CC-BY-3.0 http://creativecommons.org/licenses/by/3.0/ SzGeCERN Accelerators and Storage Rings JACoW ion JACoW experiment JACoW controls JACoW electron JACoW monitoring CERN CERN LHC ALICE Augustinus, Andre INSPIRE-00261469 JACoW-00031120 CERN Bond, Peter INSPIRE-00571964 JACoW-00067074 CERN Chochula, Peter INSPIRE-00186177 JACoW-00031041 CERN Kurepin, Alexander INSPIRE-00244630 JACoW-00051340 CERN Moscow, INR RAS/INR, Moscow, Russia Lechman, Mateusz INSPIRE-00246320 JACoW-00042379 CERN Lång, John JACoW-00098790 john.larry.lang@cern.ch CERN MODPL07 ICALEPCS2017 C17-10-08 2018 1387270 648507 http://cds.cern.ch/record/2306218/files/modpl07.pdf 13 2288115 barcelona20171008 MODPL07 ARTICLE ConferencePaper 0-0-0-1-0-0-1 2018-02-20 13:36:11 Invenio/1.1.2.1260-aa76f refextract/1.5.44 content.pdf;1 796251 ALICE Collaboration 1 JINST,3,S08002 The ALICE experiment at the CERN LHC 2008 1305020 ALICE Collaboration Upgrade of the ALICE Experiment: Letter Of Intent 2 J.Phys.,G41,087001 2014 CURATOR ALICE Collaboration Upgrade of the ALICE Readout & Trigger System September 3 CERN-LHCC-2013-019 2013 1614095 ALICE Collaboration Upgrade of the onlineoffline computing system June 4 CERN-LHCC-2015-006 2015 ALICE Collaboration Technical Design Report of the Trigger, Data Acquisition, High-Level Trigger and Control System January 5 CERN-LHCC-2003-062 2004 P.Chochula, L.Jirdén, A.Augustinus 9th Workshop on Electronics for LHC Experiments, Amsterdam 6 Control and monitoring of the front-end electronics in ALICE 2003 Paul Scherrer Institute, Villigen, Switzerland: The DRS4 chip and the evaluation board 7 https://www.psi.ch/drs/evaluation-board C. Gaspar, M. Donszelmann Proceedings of the 8th Conference on Real-Time Computer applications in Nuclear, Particle and Plasma Physics, Vancouver, Canada, June 8 DIM -A distributed information management system for the DELPHI experiment at CERN 1993 Simatic WinCC Open Architecture, developed by ETM GmbH 9 http://www.etm.at/index_e.asp?id=2 CURATOR O. Holme, M. Gonzalez Berges, P. Golonka, S. Schmeling ICALEPCS2005, Geneva, Switzerland 10 The JCOP Framework 2005 CURATOR G. Segura Millan, D. Perrin, L. Scibile ICALEPCS 2005, Geneva, Switzerland. 11 RAMSES: The LHC Radiation Monitoring System for the Environment and Safety 2005 2305501 SzGeCERN 20180309164720.0 DOI JACoW 10.18429/JACoW-ICALEPCS2017-TUPHA209 oai:inspirehep.net:1656282 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1656282 2018-02-22T17:14:47Z 2018-02-23T05:00:09Z marcxml Inspire 1656282 eng Charrondiere, Cedric JACoW-00030518 cedric.charrondiere@cern.ch CERN JACoW MEDICIS high level control application 2018 5 p JACoW CERN MEDICIS is a research facility that will produce radioisotopes for medical research using the primary proton beam at ISOLDE and ISOLDE-like targets. It will start operating later in 2017. In this framework, the high-level application for the new MEDICIS beam line is responsible for the control of various equipment, such as power supplies, Faraday cups and scanners, as well as the monitoring of environmental parameters such as the vacuum level. It is characterized by a single user-friendly interface to facilitate the operators' tasks. In this paper, we provide arguments for the chosen solution and give the latest update on the status of the high-level application. JACoW CC-BY-3.0 http://creativecommons.org/licenses/by/3.0/ SzGeCERN Accelerators and Storage Rings JACoW ion JACoW interface JACoW ISOL JACoW controls JACoW hardware CERN CERN ISOLDE CERN MEDICIS Develle, Kevin JACoW-00098789 kevin.develle@cern.ch CERN Stora, Thierry INSPIRE-00418243 JACoW-00021514 CERN TUPHA209 ICALEPCS2017 C17-10-08 2018 1385875 1225628 http://cds.cern.ch/record/2305501/files/tupha209.pdf 13 2288115 TUPHA209 barcelona20171008 ARTICLE ConferencePaper 0-0-0-0-1-0-1 2018-02-20 19:05:43 Invenio/1.1.2.1260-aa76f refextract/1.5.44 content.pdf;1 T. Stora 1 Appl.Sciences,4,265-281 CERN-MEDICIS (Medical Isotopes Collected from ISOLDE): A new Facility 2014 CURATOR K. Kostro WE201, ICALEPCS2003, Gyeongju, Korea 2 The controls middleware (CMW) at CERN status and usage 2003 Power supplies 3 http://epc.web.cern.ch/ CURATOR E. D. Cantero IPAC 2013, Shangai, China 4 Performance tests of a short faraday cup designed for HIE-Isolde 2013 CURATOR R. Veness IBIC 2012, Tsukuba, Japan 5 design of a high-precision fast wire scanner for the SPS at CERN 2012 CURATOR R. Gavaggio THAP093, ICALEPCS 2001, San Jose, California 6 Examples of Vacuum systems controlled by PLCs 2001 A. Brown 7 CERN-THESIS-2015-251 Design of the CERN MEDICIS collection and sample extraction system CURATOR Fetch/Write protocol from Siemens™ 8 https://www.siemens.com/global/en/home/products/automation/systems/industrial/plc.html ISOLDE 9 http://isolde.web.cern.ch/ LabVIEW™ classes 10 http://www.ni.com/white-paper/3573/en/ O. Andreassen WEMAU007, ICALEPCS, Grenoble, France 11 Turn-key applications for accelerators with LabVIEW RADE 2011 CURATOR LabVIEW object-oriented 12 http://www.ni.com/white-paper/3574/en/16thInt.Conf 2304045 SzGeCERN 20180320200709.0 9781119185086 (electronic bk.) electronic version 9781119184935 electronic version EBL 5228468 eng 621.366 Mittal, K L Laser technology applications in adhesion and related areas Somerset John Wiley & Sons 2018 444 p Adhesion and adhesives fundamental and applied aspects series Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Part 1: Laser Surface Modification and Adhesion Enhancement -- 1 Topographical Modification of Polymers and Metals by Laser Ablation to Create Superhydrophobic Surfaces -- 1.1 Introduction -- 1.2 Wetting Theory -- 1.3 Laser Ablation Background -- 1.3.1 Ablation Mechanics -- 1.3.2 Ablation in Metals -- 1.3.3 Ablation in Polymers -- 1.4 Preparation of Superhydrophobic Surfaces by Laser Ablation -- 1.4.1 Hydrophobic Organic Substrates -- 1.4.2 Hydrophilic Organic Substrates -- 1.4.3 Hydrophilic Substrates with Hydrophobic Coatings -- 1.4.4 Hydrophilic Inorganic Substrates -- 1.4.4.1 Metallic substrates -- 1.4.4.2 Silicon substrates -- 1.4.4.3 Ceramic Substrates -- 1.5 Summary -- References -- 2 Nonablative Laser Surface Modification -- 2.1 Introduction -- 2.2 Part 1 – Nonablative Laser Skin Photorejuvenation -- 2.2.1 Introduction -- 2.2.2 Nonablative Laser-Based Skin Treatments -- 2.2.3 Review of Nonablative Laser-Based Skin Treatments Based on Laser Type -- 2.2.3.1 Lasers Emitting at 532 nm -- 2.2.3.2 Lasers Emitting at 511, 578, 585, and 600 nm Wavelengths -- 2.2.3.3 Lasers Emitting at 780 nm -- 2.2.3.4 Lasers Emitting at 980 nm -- 2.2.3.5 Lasers Emitting at 1064 nm -- 2.2.3.6 Lasers Emitting at 1320 nm -- 2.2.3.7 Lasers Emitting at 1450 nm -- 2.2.3.8 Lasers Emitting at 1540 nm -- 2.2.3.9 Lasers Emitting at 2940 nm -- 2.2.4 Combined Techniques -- 2.2.5 Conclusions for Part 1 – Nonablative Laser Skin Photorejuvenation -- 2.3 Part 2 – Formation of Micro-/Nano-Structures and LIPSS in Materials by Nonablative Laser Processing -- 2.3.1 Introduction -- 2.3.2 Review of Micro-/Nano-Structures and LIPSS -- 2.3.2.1 Micro-/Nano-Structures and LIPSS Formation in Metals -- 2.3.2.2 Micro-/Mano-Structures and LIPSS Formation in Semiconductors. 2.3.2.3 Micro-/Nano-Structures and LIPSS Formation in Dielectrics -- 2.3.2.4 Micro-/Nano-Structures and LIPSS Formation in Polymers -- 2.3.2.5 Micro-/Nano-Structures and LIPSS Formation in Multiple Materials -- 2.3.3 Part 2 –Conclusion for Formation of Micro-/Nano- Structures and LIPSS in Materials by Nonablative Laser Processing -- 2.4 Part 3 – Nonablative Laser Surface Modification to Alter the Surface Properties of Materials -- 2.4.1 Introduction -- 2.4.2 Examples of Nonablative Laser Surface Modification to Alter the Surface Properties of Materials -- 2.4.3 Conclusions for Part 3 – Nonablative Laser Surface Modification to Alter Surface Properties -- 2.5 Summary -- References -- 3 Wettability Characteristics of Laser Surface Engineered Polymers -- 3.1 Introduction -- 3.2 Lasers for Surface Engineering -- 3.2.1 Infrared Lasers for Surface Engineering -- 3.2.2 Ultraviolet Lasers for Surface Engineering -- 3.2.3 Ultrafast Pulsed Lasers for Surface Engineering -- 3.3 Laser Surface-Engineered Topography -- 3.4 Laser Surface-Engineered Wettability -- 3.5 Summary -- References -- 4 Laser Surface Modification for Adhesion Enhancement -- 4.1 Introduction -- 4.1.1 Mechanisms or Theories of Adhesion -- 4.1.2 Methods of Surface Modification for Adhesion Enhancement -- 4.2 Basic Mechanisms of Laser Surface Modification -- 4.2.1 Absorption of Laser Radiation in a Material -- 4.2.1.1 Linear Absorption -- 4.2.1.2 Nonlinear Absorption -- 4.2.2 Photo-Chemical Process -- 4.2.3 Photo-Thermal Process -- 4.2.3.1 Conventional Heat Flow Model -- 4.2.3.2 Two-Temperature Model -- 4.2.3.3 Ablation Rate and Ablation Spot Size -- 4.3 Laser Induced Surface Modification of Metal Substrates to Enhance Adhesion -- 4.3.1 Laser Induced Surface Cleaning and Activation for Adhesion Improvement -- 4.3.2 The Dominant Role of Mechanical Interlocking for Adhesion Improvement. 4.3.3 Laser Surface Patterning -- 4.3.4 Laser Surface Topography Modification to Enhance Adhesion of Hard Coatings on Metals -- 4.3.5 Laser Surface Modification to Enhance Metal-to-Metal Adhesive Bonding -- 4.3.6 Laser Surface Modification of Metal Substrates to Enhance Adhesion of Polymeric Materials -- 4.4 Laser Induced Surface Modification of Polymers and Composites to Enhance Their Adhesion -- 4.4.1 Adhesion Improvement due to Laser Treatment -- 4.4.2 Changes in Surface Morphology of Laser Treated Surfaces -- 4.4.3 Chemical Modification of Laser Treated Surfaces -- 4.5 Summary -- References -- 5 Laser Surface Modification in Dentistry: Effect on the Adhesion of Restorative Materials -- 5.1 Introduction -- 5.2 Dental Structures -- 5.3 Adhesion of Restorative Materials -- 5.4 Laser Light Interaction with the Dental Substrate -- 5.5 Dental Structure Ablation and Influence on Bond Strength of Restorative Materials -- 5.6 Summary -- 5.7 Prospects -- References -- Part 2: Other Applications -- 6 Laser Polymer Welding -- 6.1 Introduction to Laser Polymer Welding -- 6.2 Theoretical Background -- 6.2.1 Reflection, Transmission and Absorption Behaviors -- 6.2.2 Heat Generation and Dissipation -- 6.2.3 Laser Welding Processes -- 6.3 Factors Affecting Polymer Laser Welding -- 6.3.1 Types of Processes for TTLW -- 6.3.2 Adapting Absorption to Welding Process -- 6.3.3 Design of Joint Geometry -- 6.4 Practical Applications -- 6.5 Testing and Quality Control -- 6.6 Future Prospects -- 6.7 Summary -- Acknowledgements -- References -- 7 Laser Based Adhesion Testing Technique to Measure Thin Film-Substrate Interface Toughness -- 7.1 Introduction -- 7.2 Modification of Laser Spallation Technique to Measure Thin Film-Substrate Interface Fracture Toughness -- 7.2.1 Sample Preparation -- 7.2.2 Experimental Procedure and Analysis -- 7.3 Parametric Studies. 7.3.1 Effect of Test Film Thickness -- 7.3.2 Effect of Amplitude of the Stress Pulse -- 7.3.3 Effect of Shape of the Stress Pulse -- 7.3.4 Effect of Thin Film Properties -- 7.3.5 Effect of Thin Film Inertial Layer -- 7.3.6 Effect of Amplitude and Gradient of Residual Stresses on the Thin Film Delamination -- 7.4 Validation of Dynamic Delamination Protocol -- 7.5 Summary -- References -- 8 Laser Induced Thin Film Debonding for Micro-Device Fabrication Applications -- 8.1 Introduction -- 8.2 The Mechanism of Laser Induced Debonding (LID) -- 8.3 Thin Film Patterning by Laser Induced Forward Transfer -- 8.3.1 Background -- 8.3.2 Thin Film Transfer Mechanisms in a LIFT Process -- 8.4 GaN Film Lift-Off for High-Brightness LEDs and High Power Electronics -- 8.4.1 Background -- 8.4.2 The Laser Lift-Off Process -- 8.5 Dielectric Passivation Layer Opening for Interconnect Formation in Crystalline Silicon Solar Cells -- 8.5.1 Background -- 8.5.2 Laser Process for Making Local Contact Openings -- 8.6 Laser Induced Wafer Debonding for Advanced Packaging Applications -- 8.6.1 Background -- 8.6.2 The Laser Induced Wafer Debonding Process -- 8.7 Summary -- References -- 9 Laser Surface Cleaning: Removal of Hard Thin Ceramic Coatings -- 9.1 Introduction -- 9.2 Chemical Etching of Hard Thin Coatings -- 9.3 Typical Experimental Set-up for Excimer Laser Removal of Thin Coatings -- 9.4 Experimental Results on Excimer Laser Removal of Thin Coatings -- 9.4.1 Laser Removal of Titanium Nitride from Tungsten Carbide -- 9.4.1.1 Removal of Titanium Nitride from Tungsten Carbide Cutting Insert -- 9.4.1.2 Removal of Titanium Nitride from Tungsten Carbide Micro-Tool -- 9.4.2 Laser Removal of Titanium Aluminium Nitride from Tungsten Carbide -- 9.4.3 Laser Removal of CrTiAlN Coatings from High Speed Steel -- 9.5 Online Monitoring of Laser Coating Removal Process. 9.5.1 Online Monitoring Using Probe Beam Reflection (PBR) System -- 9.5.2 Online Monitoring Using Laser Plume Emission Spectroscopy -- 9.6 Discussion of Excimer Laser Coating Removal Mechanisms -- 9.7 Finite Element Modelling of Excimer Laser Removal of Thin Coatings -- 9.8 Performance Evaluation of Laser Decoated Mechanical Tool -- 9.8.1 Evaluation of Wear Performance -- 9.8.2 Surface Roughness of Machined Parts -- 9.8.3 Environmental Footprints in Cutting -- 9.8.4 Energy Consumption and Footprints for Laser Decoating -- 9.8.5 Comparison of the Energy Footprints for the Different Steps -- 9.9 Summary -- Acknowledgments -- References -- 10 Laser Removal of Particles from Surfaces -- 10.1 Introduction -- 10.2 Dry Laser Cleaning (DLC) -- 10.3 Steam Laser Cleaning (SLC) -- 10.4 Laser Shock Cleaning (LSC) -- 10.5 Novel Laser Cleaning Techniques -- 10.5.1 Matrix Laser Cleaning (MLC) -- 10.5.2 Wet Laser Cleaning (WLC) -- 10.5.3 Wet Laser Shock Cleaning (WLSC) -- 10.5.4 Combination of DLC and LSC -- 10.5.5 Combination of LSC and SLC -- 10.5.6 Laser-Induced Thermocapillary Cleaning -- 10.5.7 Droplet Opto-Hydrodynamic Cleaning (DOC) -- 10.6 Summary -- Acknowledgements -- References -- Index -- EULA. Lei, Wei-Sheng 9781119184935 print version oai:cds.cern.ch:2304045 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5228468 ebook ebook EBL201802 Engineering SzGeCERN BOOK n 201806 201802 21 PUBLIC BOOK DELETED 2304035 SzGeCERN 20210421205410.0 9781118963807 9781118963784 1118963784 oai:cds.cern.ch:2304035 cerncds:BOOK SAFARI 9781118963807 eng 621.31244 Fthenakis, Vasilis M Electricity from sunlight photovoltaic-systems integration and sustainability 2nd ed. New York, NY John Wiley & Sons 2014 356 p ebook Intro -- Title Page -- Copyright Page -- Contents -- About the Authors -- Foreword -- Preface to the First Edition -- Preface to the Second Edition -- Acknowledgment to the First Edition -- Acknowledgment to the Second Edition -- About the Companion Website -- Chapter 1 Introduction -- 1.1 Energy and Sustainable Development -- 1.2 The Sun, Earth, and Renewable Energy -- 1.3 The Solar Resource -- 1.4 The Magic of Photovoltaics -- 1.5 A Piece of History -- 1.6 Coming Up to Date -- Appendix 1.A Energy Units and Conversions -- CO2 Emissions per Fuel Type -- CO2 Emissions in Transportation -- Self-Assessment Questions -- Problems -- Answers to Questions -- References -- Chapter 2 Solar Cells -- 2.1 Setting the Scene -- 2.2 Crystalline Silicon -- 2.2.1 The Ideal Crystal -- 2.2.2 The p–n Junction -- 2.2.3 Monocrystalline Silicon -- 2.2.3.1 Photons in Action -- 2.2.3.2 Generating Power -- 2.2.3.3 Sunlight, Silicon, and Quantum Mechanics -- 2.2.3.4 Refining the Design -- 2.2.4 Multicrystalline Silicon -- 2.3 Second-Generation Photovoltaics -- 2.3.1 Amorphous and Thin-Film Silicon -- 2.3.2 Copper Indium Gallium Diselenide (CIGS) -- 2.3.3 Cadmium Telluride (CdTe) -- 2.4 Cell Efficiency and Module Cost -- 2.5 Third-Generation Solar Cells -- 2.5.1 Gallium Arsenide (GaAs) Multi-Junctions -- 2.5.2 Dye-Sensitized Cells -- 2.5.3 Organic Solar Cells -- 2.5.4 Perovskites -- Research Directions -- Self-Assessment Questions -- Problems -- Answers to Questions -- References -- Chapter 3 PV Modules and Arrays -- 3.1 Introduction -- 3.2 Electrical Performance -- 3.2.1 Connecting Cells and Modules -- 3.2.2 Module Parameters -- 3.3 Capturing Sunlight -- 3.3.1 Aligning the Array -- 3.3.2 Sunshine and Shadow -- 3.4 One-Axis Tracking -- 3.5 Concentration and Two-Axis Tracking -- Appendix 3.A. 3.A.1 Converting Global Horizontal Irradiation Data to Tilted and Sun-Tracking Surfaces -- 3.A.1.1 Solar Data Collection -- 3.A.1.2 Calculation of Extraterrestrial Radiation -- 3.A.1.3 Determining the Diffuse and the Direct Components of the Global Horizontal Irradiation -- 3.A.1.4 Using a Model to Calculate the Energy Incident on the Inclined Surface per Time Increment -- 3.A.1.5 Comparisons of Different Configurations -- Self-Assessment Questions -- Problems -- Answers to Questions -- References -- Chapter 4 Grid-Connected PV Systems -- 4.1 Introduction -- 4.2 From DC to AC -- 4.3 Completing the System -- 4.4 Building-Integrated Photovoltaics (BIPV) -- 4.4.1 Engineering and Architecture -- 4.4.2 PV Outside, PV Inside -- 4.5 The Growth of Global PV Markets -- 4.6 Current Status of the PV Industry -- 4.7 Large PV Power Plants -- 4.7.1 Commercial and Industrial Installations -- 4.7.2 Utility-Scale PV -- 4.8 PV Grid Connection and Integration -- 4.8.1 The Electricity Grid -- 4.8.2 Grid-Friendly PV Power Plants -- 4.9 Electricity Markets and Types of Power Generators -- Peaker Plants -- Intermediate Load-Following Plants -- Baseload Plants -- Regulation Reserves -- Contingency Reserves -- 4.10 The Variability Challenge and Solutions -- Forecasting -- Geographical Diversity/Transmission Interconnections -- 4.10.1 Long-Distance Transmission Lines -- 4.10.2 Grid Flexibility -- 4.11 Energy Storage -- 4.11.1 Power-Quality Storage Technologies -- 4.11.1.1 Superconducting Magnetic Energy Storage -- 4.11.1.2 Electric Double-Layer Capacitors -- 4.11.1.3 Flywheels -- 4.11.2 Bridging Power -- 4.11.2.1 Lead-Acid Batteries -- 4.11.2.2 Lithium-Ion Batteries -- 4.11.2.3 Flow Batteries -- 4.11.3 Energy Management Storage Technologies -- 4.11.3.1 Pumped Hydro Energy Storage -- 4.11.3.2 Compressed Air Energy Storage -- Self-Assessment Questions -- Problems. Answers to Questions -- References -- Chapter 5 Stand-Alone PV Systems -- 5.1 Remote and Independent -- 5.2 System Components -- 5.2.1 Batteries -- 5.2.2 Charge Controllers -- 5.2.3 Inverters -- 5.3 Hybrid Systems -- 5.4 System Sizing -- 5.4.1 Assessing the Problem -- 5.4.2 PV Arrays and Battery Banks -- 5.5 Applications -- 5.5.1 PV in Space -- 5.5.2 Island Electricity -- 5.5.3 PV Water Pumping -- 5.5.4 Solar-Enabled Water Desalination -- 5.5.5 Solar-Powered Boats -- 5.5.6 Far and Wide -- Self-Assessment Questions -- Problems -- Answers to Questions -- References -- Chapter 6 Photovoltaic Manufacturing -- 6.1 Production of Crystalline Si Solar Cells -- 6.1.1 Production of Metallurgical Silicon -- 6.1.2 Production of Polysilicon (Silicon Purification) -- 6.1.3. Production of Crystalline Silicon -- 6.1.3.1 Single-Crystal Silicon -- 6.1.3.2 Multicrystalline Silicon -- 6.1.4 Ingot Wafering -- 6.1.5 Doping/Forming the p–n Junction -- 6.1.6 Cleaning Etch -- 6.1.7 Surface Texturing to Reduce Reflection -- 6.1.8 Antireflection Coatings and Fire-Through Contacts -- 6.1.9 Edge Isolation -- 6.1.10 Rear Contact -- 6.1.11 Encapsulation -- 6.2 Opportunities and Challenges in Si PV Manufacturing -- Feedstock and Ingot Growth -- Wafering -- Kerfless Wafers -- Encapsulation -- 6.3 Thin‐Film PV Manufacturing -- 6.3.1 CIGS Thin-Film Manufacturing -- 6.3.1.1 Co-evaporation -- 6.3.1.2 Metal Selenization/Sulfurization -- 6.3.1.3 Non-Vacuum Particle or Solution Processing -- 6.3.2 CdTe PV Manufacturing -- Self-Assessment Questions -- Problems -- Answers to Questions -- References -- Chapter 7 PV Growth and Sustainability -- 7.1 Affordability -- 7.1.1 Costs and Markets -- 7.1.2 Financial Incentives -- 7.1.2.1 Capital Grants -- 7.1.2.2 Special Tariffs -- 7.1.2.3 Financing Options -- 7.1.2.4 Renewable Portfolio Standards -- 7.1.2.5 Carbon Fees/Programs. 7.1.3 Rural Electrification -- 7.1.4 External Costs and Benefits -- 7.1.5 Policy Recommendations for Further Growing Solar Energy -- 7.1.5.1 R&D Funding -- 7.1.5.2 Solar Financing Flexibility -- 7.2 Resource Availability -- 7.2.1 Raw Materials -- 7.2.2 Land Use -- 7.2.3 Water Use -- 7.3 Life-Cycle Environmental Impacts -- 7.3.1 Life-Cycle Analysis -- 7.3.2 Environmental Health and Safety (EHS) in PV Manufacturing -- 7.3.3 Recycling Programs -- 7.4 The Growth of PV is Sustainable and Greatly Needed -- Self-Assessment Questions -- Problems -- Answers to Questions -- References -- Index -- EULA. SAF201805 EBLlink deleted Engineering SzGeCERN BOOK Lynn, Paul A https://learning.oreilly.com/library/view/-/9781118963807/?ar ebook n 201806 201802 21 PUBLIC https://catalogue.library.cern/legacy/2304035 BOOK MIGRATED 2303985 SzGeCERN 20210421205417.0 9780471229827 print version 9780471457183 electronic version electronic version oai:cds.cern.ch:2303985 cerncds:BOOK EBL 5200733 eng QA76.642.L378 2003eb 004.35 Lastovetsky, Alexey L Parallel computing on heterogeneous networks New York, NY John Wiley & Sons 2004 440 p ebook Wiley series on parallel and distributed computing 25 Intro -- PARALLEL COMPUTING ON HETEROGENEOUS NETWORKS -- CONTENTS -- Acknowledgments -- Introduction -- PART I EVOLUTION OF PARALLEL COMPUTING -- 1. Serial Scalar Processor -- 1.1. Serial Scalar Processor and Programming Model -- 1.2. Basic Program Properties -- 2. Vector and Superscalar Processors -- 2.1. Vector Processor -- 2.2. Superscalar Processor -- 2.3. Programming Model -- 2.4. Optimizing Compilers -- 2.5. Array Libraries -- 2.5.1. Level 1 BLAS -- 2.5.2. Level 2 BLAS -- 2.5.3. Level 3 BLAS -- 2.5.4. Sparse BLAS -- 2.6. Parallel Languages -- 2.6.1. Fortran 90 -- 2.6.2. The C[ ] Language -- 2.7. Memory Hierarchy and Parallel Programming Tools -- 2.8. Summary -- 3. Shared Memory Multiprocessors -- 3.1. Shared Memory Multiprocessor Architecture and Programming Models -- 3.2. Optimizing Compilers -- 3.3. Thread Libraries -- 3.3.1. Operations on Threads -- 3.3.2. Operations on Mutexes -- 3.3.3. Operations on Condition Variables -- 3.3.4. Example of MT Application: Multithreaded Dot Product -- 3.4. Parallel Languages -- 3.4.1. Fortran 95 -- 3.4.2. OpenMP -- 3.5. Summary -- 4. Distributed Memory Multiprocessors -- 4.1. Distributed Memory Multiprocessor Architecture: Programming Model and Performance Models -- 4.2. Message-Passing Libraries -- 4.2.1 Basic MPI Programming Model -- 4.2.2. Groups and Communicators -- 4.2.3. Point-to-Point Communication -- 4.2.4. Collective Communication -- 4.2.5. Environmental Management -- 4.2.6. Example of an MPI Application: Parallel Matrix-Matrix Multiplication -- 4.3. Parallel Languages -- 4.4. Summary -- 5. Networks of Computers: Architecture and Programming Challenges -- 5.1. Processors Heterogeneity -- 5.1.1. Different Processor Speeds -- 5.1.2. Heterogeneity of Machine Arithmetic -- 5.2. Ad Hoc Communication Network -- 5.3. Multiple-User Decentralized Computer System. 5.3.1. Unstable Performance Characteristics -- 5.3.2. High Probability of Resource Failures -- 5.4. Summary -- PART II PARALLEL PROGRAMMING FOR NETWORKS OF COMPUTERS WITH MPC AND HMPI -- 6. Introduction to mpC -- 6.1. First mpC Programs -- 6.2. Networks -- 6.3. Network Type -- 6.4. Network Parent -- 6.5. Synchronization of Processes -- 6.6. Network Functions -- 6.7. Subnetworks -- 6.8. A Simple Heterogeneous Algorithm Solving an Irregular Problem -- 6.9. The RECON Statement: A Language Construct to Control the Accuracy of the Underlying Model of Computer Network -- 6.10. A Simple Heterogeneous Algorithm Solving a Regular Problem -- 6.11. Principles of Implementation -- 6.11.1. Model of a Target Message-Passing Program -- 6.11.2. Mapping of the Parallel Algorithm to the Processors of a Heterogeneous Network -- 6.12. Summary -- 7. Advanced Heterogeneous Parallel Programming in mpC -- 7.1. Interprocess Communication -- 7.2. Communication Patterns -- 7.3. Algorithmic Patterns -- 7.4. Underlying Models and the Mapping Algorithm -- 7.4.1. Model of a Heterogeneous Network of Computers -- 7.4.2. The Mapping Algorithm -- 7.5. Summary -- 8. Toward a Message-Passing Library for Heterogeneous Networks of Computers -- 8.1. MPI and Heterogeneous Networks of Computers -- 8.2. HMPI: Heterogeneous MPI -- 8.3. Summary -- PART III APPLICATIONS OF HETEROGENEOUS PARALLEL COMPUTING -- 9. Scientific Applications -- 9.1. Linear Algebra -- 9.1.1. Matrix Multiplication -- 9.1.2. Matrix Factorization -- 9.1.3. Heterogeneous Distribution of Data and Heterogeneous Distribution of Processes Compared -- 9.2. N-Body Problem -- 9.3. Numerical Integration -- 9.3.1. Basic Quadrature Rules -- 9.3.2. Adaptive Quadrature Routines -- 9.3.3. The quanc8 Adaptive Quadrature Routine -- 9.3.4. Parallel Adaptive Quadrature Routine for Heterogeneous Clusters -- 9.4. Simulation of Oil Extraction. 9.5. Summary -- 10. Business and Software Engineering Applications -- 10.1. Acceleration of Distributed Applications -- 10.1.1. Introduction -- 10.1.2. Distributed Application of a "Supermarket Chain -- 10.1.3. Parallel Implementation of the Remote Operation getDistribution -- 10.1.4. Experimental Results -- 10.2. Parallel Testing of Distributed Software -- 10.2.1. Motivation -- 10.2.2. Parallel Execution of the Orbix Test Suite on a Cluster of Multiprocessor Workstations -- 10.2.3. Experimental Results -- 10.3. Summary -- APPENDIXES -- Appendix A. The mpC N-Body Application -- A.1. Source Code -- A.2. User’s Guide -- Appendix B. The Block Cyclic Matrix Multiplication Routine for Heterogeneous Platforms -- B.1. Source Code -- B.2. User’s Guide -- Appendix C. The Parallel Adaptive Quadrature Routine -- C.1. Source Code -- C.2. User’s Guide -- Appendix D. The mpC User’s Guide -- D.1. Definition of Terms -- D.2. Outline of the mpC Programming Environment -- D.3. Supported Systems -- D.4. The mpC Compiler -- D.4.1. Options -- D.4.2. Pragmas -- D.5. How to Start Up -- D.6. Virtual Parallel Machine -- D.6.1. VPM Description File -- D.7. Environmental Variables -- D.7.1. WHICHMPI -- D.7.2. MPIDIR -- D.7.3. MPCHOME -- D.7.4. MPCLOAD -- D.7.5. MPCTOPO -- D.8. How to Run mpC Applications -- D.8.1. mpccreate -- D.8.2. mpcopen -- D.8.3. mpcbcast -- D.8.4. mpcload -- D.8.5. mpcrun -- D.8.6. mpctouch -- D.8.7. mpcclose -- D.8.8. mpcclean -- D.8.9. mpcmach -- D.8.10. mpcdel -- D.9. How to Debug mpC Applications -- D.10. Sample mpC Sessions -- D.10.1. A Simple Session -- D.10.2. More Complicated Session -- Bibliography -- Index. EBL201802 Computing and Computers SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5200733 ebook n 201806 21 PUBLIC https://catalogue.library.cern/legacy/2303985 BOOK MIGRATED 2303893 SzGeCERN 20210421205430.0 9781614994855 print version 9781614994862 electronic version electronic version oai:cds.cern.ch:2303893 cerncds:BOOK EBL 5161874 eng TS171.95 .W555 2015 621.988 Van Wijk, A J M 3D printing with biomaterials towards a sustainable and circular economy Burke IOS Press 2015 86 p ebook EBL201802 Engineering SzGeCERN EBL Green products EBL Manufacturing industries-Environmental aspects BOOK van Wijk, I https://cds.cern.ch/auth.py?r=EBLIB_P_5161874 ebook n 201806 201802 21 PUBLIC https://catalogue.library.cern/legacy/2303893 BOOK MIGRATED 2303853 SzGeCERN 20200808000724.0 9783527341597 print version 9783527810901 electronic version electronic version oai:cds.cern.ch:2303853 cerncds:BOOK EBL 5108556 eng 541.395 Hanefeld, Ulf Catalysis an integrated textbook Newark, NJ John Wiley & Sons 2017 387 p ebook Cover -- Title Page -- Copyright -- Contents -- Preface -- Chapter 1 Introduction -- 1.1 A Few Words at the Beginning -- 1.2 Catalysis in a Nutshell -- 1.3 History of Catalysis -- 1.3.1 Industrial Catalysis -- 1.3.2 Environmental Catalysis -- 1.4 Integration Homo-Hetero-Biocatalysis -- 1.5 Research in Catalysis -- 1.5.1 S-Curve, Old Processes Improvement Is Knowledge Intensive -- 1.5.2 Interdependence with Other Fields -- 1.5.3 Recent and Future Issues -- 1.5.3.1 Biomass -- 1.5.3.2 CO2 as a Feedstock -- 1.6 Catalysis and Integrated Approach or How to Use this Book -- References -- Chapter 2 Heterogeneous Catalysis -- 2.1 Introduction -- 2.1.1 Concept of Heterogeneous Catalysis -- 2.1.2 Applications of Heterogeneous Catalysis -- 2.1.2.1 Transportation Fuels -- 2.1.2.2 Chemicals -- 2.1.2.3 Environmental Pollution Control -- 2.1.3 Catalytic Cycle -- 2.2 Adsorption on Surfaces -- 2.2.1 Physisorption and Chemisorption -- 2.2.2 Adsorption Isotherms -- 2.2.3 Chemisorption and Chemical Bonding -- 2.2.4 Connecting Kinetic and Thermodynamic Formulations -- 2.3 Surface Reactions -- 2.3.1 Reaction Mechanism and Kinetics -- 2.4 Types of Heterogeneous Catalysts -- 2.4.1 Supported Metals -- 2.4.1.1 Understanding Trends in Reactivity -- 2.4.1.2 Structure Sensitivity -- 2.4.1.3 Support Effects -- 2.4.2 Oxides and Sulfides -- 2.4.2.1 Molecular Aspects -- 2.4.2.2 Processes -- 2.4.2.3 Transition Metal Sulfides -- 2.4.3 Solid Acid Catalysts -- References -- Chapter 3 Homogeneous Catalysis -- 3.1 Framework and Outline -- 3.1.1 Outline of this Chapter -- 3.1.2 Definitions and Terminology -- 3.2 Coordination and Organometallic Chemistry -- 3.2.1 Coordination Chemistry: d Orbitals, Geometries, Crystal Field Theory -- 3.2.2 and donors and back-donation: CO, alkene, phosphane, H2 -- 3.2.3 Organometallics: Hapticity, Metal-Alkyl/Allyl, Agostic Interaction, Carbenes. 3.2.4 Electron Counting: Ionogenic or Donor-Pair versus Covalent or Neutral-Ligand -- 3.2.5 Effect of Binding on Ligands and Metal Ions, Stabilization of Oxidation States -- 3.3 Elementary Steps in Homogeneous Catalysis -- 3.3.1 Formation of the Active Catalyst Species -- 3.3.2 Oxidative Addition and Reductive Elimination -- 3.3.2.1 Concerted Addition -- 3.3.2.2 SN2 Mechanism -- 3.3.2.3 Ionic Mechanism -- 3.3.2.4 Radical Mechanism -- 3.3.2.5 Reductive Elimination -- 3.3.3 Migration and Elimination -- 3.3.4 Oxidative Coupling and Reductive Cleavage -- 3.3.5 Alkene or Alkyne Metathesis and -BondMetathesis -- 3.3.6 Nucleophilic and Electrophilic Attack -- 3.4 Homogeneous Hydrogenation -- 3.4.1 Background and Scope -- 3.4.2 H2 Dihydride Mechanism: Wilkinson's Catalyst -- 3.4.3 H2 Monohydride Mechanism and Heterolytic Cleavage -- 3.4.4 Asymmetric Homogeneous Hydrogenation -- 3.4.5 Transfer Hydrogenation with 2-Propanol -- 3.4.6 Other Alkene Addition Reactions -- 3.5 Hydroformylation -- 3.5.1 Scope and Importance of the Reaction and Its Products -- 3.5.2 Cobalt-Catalyzed Hydroformylation -- 3.5.3 Rhodium-Catalyzed Hydroformylation -- 3.5.4 Asymmetric Hydroformylation -- 3.6 Oligomerization and Polymerization of Alkenes -- 3.6.1 Scope and Importance of Oligomerization and Polymerization -- 3.6.2 Oligomerization of Ethene (Ni, Cr) -- 3.6.3 Stereochemistry and Mechanism of Propene Polymerization -- 3.6.4 Metallocene Catalysis -- 3.6.5 Polymerization with Non-Metallocenes (Pd, Ni, Fe, Co) -- 3.7 Miscellaneous Homogeneously Catalyzed Reactions -- 3.7.1 Cross-Coupling Reactions: Pd-Catalyzed C-C Bond Formation -- 3.7.2 Metathesis Reactions -- References -- Further Reading -- Chapter 4 Biocatalysis -- 4.1 Introduction -- 4.2 Why Are Enzymes So Huge? -- 4.3 Classification of Enzymes -- 4.3.1 Oxidoreductases (EC 1) -- 4.3.1.1 Flavomonooxygenases. 4.3.1.2 P450 Monooxygenases -- 4.3.1.3 Diiron-Dependent Monooxygenases -- 4.3.1.4 Peroxidases (EC 1.11.1) and Peroxygenases (EC 1.11.2) -- 4.3.2 Transferases (EC 2) -- 4.3.3 Hydrolases (EC 3) -- 4.3.4 Lyases (EC 4) -- 4.4 Concepts and Methods -- 4.4.1 Cofactor Regeneration Systems -- 4.4.2 Methods to Shift Unfavorable Equilibria -- 4.4.2.1 Kinetic versus Thermodynamic Control -- 4.4.2.2 Working in Organic Solvents -- 4.4.3 Two-Liquid-Phase Systems (and Related) -- 4.4.4 (Dynamic) Kinetic Resolutions and Desymmetrization -- 4.4.5 Enantiomeric Ratio E -- 4.5 Applications and Case Studies -- 4.5.1 Oxidoreductases (E.C. 1) -- 4.5.1.1 Dehydrogenases -- 4.5.1.2 Oxidases -- 4.5.1.3 Old Yellow Enzymes -- 4.5.1.4 Monooxygenases (EC 1.14.13) -- 4.5.1.5 Peroxidases/Peroxygenases -- 4.5.1.6 Dioxygenases -- 4.5.2 Transferases (EC 2) -- 4.5.3 Hydrolases (EC 3) -- 4.5.3.1 Lipases and Esterases (EC 3.1.1) -- 4.5.4 Lyases (EC 4) -- 4.5.4.1 Nitrile hydratase (EC 4.2.1) -- Further Reading -- Chapter 5 Chemical Kinetics of Catalyzed Reactions -- 5.1 Introduction -- 5.2 Rate Expressions - Quasi-Steady-State Approximation and Quasi-Equilibrium Assumption -- 5.3 Adsorption Isotherms -- 5.3.1 One-Component Adsorption -- 5.3.2 Multicomponent Adsorption -- 5.3.3 Dissociative Adsorption -- 5.4 Rate Expressions - Other Models and Generalizations -- 5.5 Limiting Cases - Reactant and Product Concentrations -- 5.6 Temperature and Pressure Dependence -- 5.6.1 Transition-State Theory -- 5.6.2 Forward Reaction - Temperature and Pressure Dependence -- 5.6.3 Forward Reaction - Limiting Cases -- 5.6.3.1 Strong Adsorption of A -- 5.6.3.2 Weak Adsorption of A and B -- 5.6.3.3 Strong Adsorption of B -- 5.6.3.4 Intermediate Adsorption of A and B -- 5.7 Sabatier Principle - Volcano Plot -- 5.8 Concluding Remarks -- References -- Chapter 6 Catalytic Reaction Engineering -- 6.1 Introduction. 6.2 Chemical Reactors -- 6.2.1 Balance and Definitions -- 6.2.2 Batch Reactor -- 6.2.2.1 Multiple Reactions -- 6.2.3 Continuous Flow Stirred Tank Reactor (CSTR) -- 6.2.4 Plug-Flow Reactor (PFR) -- 6.2.5 Comparison between Plug-flow and CSTR Reactor -- 6.2.5.1 Reactor Size -- 6.2.5.2 Reactor Selectivity -- 6.3 Reaction and Mass Transport -- 6.3.1 External Mass Transfer -- 6.3.2 Internal Mass Transport -- 6.3.2.1 Effectiveness Factor for Internal Mass Transfer -- 6.3.3 Gas-Liquid Mass Transfer -- 6.3.3.1 Gas-Liquid Mass Ttransfer Followed by Reaction (Heterogeneously Catalyzed) -- 6.3.3.2 Gas-Liquid Mass Transfer Simultaneously with a Reaction (Homogeneously Catalyzed) -- 6.3.4 Heat Transfer -- 6.3.4.1 External Heat Transfer -- 6.3.4.2 Internal Heat Transport -- 6.4 Criteria to Check for Transport Limitations -- 6.4.1 Numerical Checks -- 6.4.1.1 External Mass Transfer -- Carberry Number -- 6.4.1.2 Internal Mass Transfer -- Wheeler-Weisz Modulus -- 6.4.1.3 External Heat Transfer -- 6.4.1.4 Internal Heat Transfer -- 6.4.1.5 Radial Profiles and Distributions in Concentration and Temperature -- 6.4.2 Experimental Checks -- References -- Chapter 7 Characterization of Catalysts -- 7.1 Introduction -- 7.1.1 Importance of Characterization of Catalysts -- 7.1.2 Overview of the Various Techniques -- 7.2 Techniques Based on Probe Molecules -- 7.2.1 Temperature-Programmed Techniques -- 7.2.2 Physisorption and Chemisorption -- 7.2.2.1 Physisorption -- 7.2.2.2 Chemisorption -- 7.3 Electron Microscopy Techniques -- 7.4 Techniques from Ultraviolet up to Infrared Radiation -- 7.4.1 UV/vis Spectroscopy -- 7.4.2 Infrared Spectroscopy -- 7.4.2.1 Probe Molecules -- 7.4.2.2 In Situ Experiments -- 7.4.2.3 Liquid-Phase Analysis -- 7.4.3 Raman Spectroscopy -- 7.5 Techniques Based on X-Rays -- 7.5.1 Introduction -- 7.5.2 Interaction of X-Rays with Matter. 7.5.3 X-Ray Photoelectron Spectroscopy (XPS) -- 7.5.4 X-ray Absorption Spectroscopy (XAS) -- 7.5.4.1 XANES -- 7.5.4.2 EXAFS -- 7.5.5 X-Ray Scattering -- 7.5.5.1 WAXS/XRD -- 7.5.5.2 SAXS -- 7.5.6 X-Ray Microscopy -- 7.6 Ion Spectroscopies -- 7.7 Magnetic Resonance Spectroscopy Techniques -- 7.7.1 NMR -- 7.7.2 EPR -- 7.7.2.1 Metal-Centered Radicals -- 7.7.2.2 Ligand-Centered Radicals -- 7.8 Summary -- References -- Chapter 8 Synthesis of Solid Supports and Catalysts -- 8.1 Introduction -- 8.2 Support Materials -- 8.2.1 Mesoporous Metal Oxides -- 8.2.1.1 Fumed Oxides -- 8.2.1.2 Silica Gel and Other Hydrothermally Prepared Oxides -- 8.2.1.3 Alumina -- 8.2.1.4 Ordered Mesoporous Materials -- 8.2.1.5 Extending the Ordered Mesoporous Materials Family -- 8.2.2 Ordered Microporous Materials -- 8.2.2.1 Zeolites -- 8.2.2.2 Metal Organic Frameworks -- 8.2.2.3 Zeolitic Amidizolate Frameworks -- 8.2.3 Carbon Materials -- 8.2.4 Shaping -- 8.3 Synthesis of Supported Catalysts -- 8.3.1 Colloidal Synthesis Routes -- 8.3.2 Chemical Vapor Deposition -- 8.3.3 Ion Adsorption -- 8.3.4 Deposition Precipitation -- 8.3.5 Co-Precipitation -- 8.3.6 Impregnation and Drying -- 8.3.6.1 Impregnation -- 8.3.6.2 Drying -- 8.3.6.3 Calcination/Thermal Treatment -- 8.3.6.4 Activation of the Catalyst -- References -- Index -- EULA. EBL201802 Chemical Physics and Chemistry SzGeCERN BOOK Lefferts, Leon https://cds.cern.ch/auth.py?r=EBLIB_P_5108556 ebook n 201806 201802 21 PUBLIC BOOK DELETED 2303847 SzGeCERN 20210421205437.0 9781787432956 electronic version electronic version 9781787432963 print version oai:cds.cern.ch:2303847 cerncds:BOOK EBL 4941311 eng T58.5-58.64 384 Mosco, Vincent Becoming digital toward a post-internet society Bingley Emerald Publishing 2017 246 p ebook Society now "Front Cover" -- "Becoming Digital" -- "Copyright Page" -- "Dedication" -- "Contents" -- "List of Tables" -- "About the Author" -- "Preface" -- "1 The Next Internet" -- "Happy Birthday Internet" -- "The Web: Deep and Dark" -- "Grand Convergences" -- "A Web of Problems" -- "The Road Ahead" -- "2 Converging Technologies" -- "Technology and Society" -- "To the Cloud" -- "The Numbers Will Speak for Themselves" -- "Bringing Things to Life" -- "The Power and Peril of Convergence" -- "Nowhere and Everywhere" -- "3 Power, Politics and Political Economy" -- "Technology and Power" -- "From Research to Commerce" -- "Big Tech" -- "Challengers to the Big Five" -- "Government Embraces the Next Internet" -- "The Challenge from China" -- "4 The Body and Culture" -- "Skin in the Game" -- "Getting Chipped" -- "Count and Commodify" -- "The Worker Commodity" -- "Child’s Play" -- "Metaphorically Speaking" -- "Myth-ing Links" -- "The Singularity Is Near" -- "Come Alive!" -- "5 Problems" -- "Commercialism and Concentration" -- "Heavy Bugsplat and Cyber Warfare" -- "Environmental Impact" -- "Privacy, Surveillance and the Internet of Hackable Things" -- "Automation and Jobs" -- "6 Citizenship in a Post-Internet World" -- "Despair and Disruption" -- "Revenge of Analog?" -- "The Value of Impossible Dreams" -- "Historical Imagination" -- "Occupy the Internet?" -- "Break up the Big Five" -- "Regulate Commercialism" -- "Resist Militarism" -- "Control E-Pollution" -- "Restore Privacy" -- "Basic Income Is a Human Right" -- "Conclusion: Towards a Public Utility in Communication" -- "Endnotes" -- "Epigraph References" -- "Further Reading". This book examines the convergence of Cloud Computing, Big Data, and the Internet of Things to forge the Next Internet. Ubiquitous computing enables universal communication, concentration of power, privacy erosion, environmental degradation, and massive automation and this title explores solving these issues to create a democratic digital world. EBL201802 Commerce, Economics, Social Science SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4941311 ebook n 201806 201802 21 PUBLIC https://catalogue.library.cern/legacy/2303847 BOOK MIGRATED 2303846 SzGeCERN 20180612223807.0 9781351658140 (electronic bk.) electronic version 9781138029705 electronic version EBL 4935546 eng S494.5.E5.2017 621.042 Bundschuh, Jochen Geothermal, wind and solar energy applications in agriculture and aquaculture London CRC Press 2017 407 p Sustainable energy developments Cover -- Half title -- Series Editor -- Title -- Copyright -- About the book series -- Editorial board -- Table of contents -- List of contributors -- Foreword by Alessandro Flammini -- Editor's preface -- About the editors -- CHAPTER1. Solar, wind and geothermal energy applications in agriculture:back to the future? -- 1.1 Introduction -- 1.2 Energy demands in agriculture -- 1.2.1 Energy use in agriculture -- 1.2.2 The energy management process -- 1.3 The water-energy-food-climate nexus -- 1.4 Greenhouse gas emissions and carbon footprint of agriculture -- 1.4.1 Sources of greenhouse gas emissions from agriculture -- 1.4.2 Overview of global agricultural emissions -- 1.4.3 Life cycle assessment (LCA -- 1.4.4 Comparison of environmental impact of different foods -- 1.5 Merging renewables with agriculture: The sustainability approach -- 1.5.1 Solar photovoltaic energy applications -- 1.5.1.1 Water pumping -- 1.5.2 Solar and geothermal direct heat applications -- 1.5.2.1 Heating/cooling of spaces, buildings, soil and water -- 1.5.2.2 Drying of crops, fruits, grains and animal products -- 1.5.2.3 Heating of greenhouses -- 1.5.3 Wind power applications -- 1.5.4 Multi-use of agricultural land for food and electric power production -- 1.5.5 Agriculture within the cascade system of geothermal direct heat utilization -- 1.5.6 Renewables for water desalination and food security: decoupling freshwater production from fossil fuel supply -- 1.5.7 Geothermal and solar greenhouse heating/cooling, ventilation, humidification, desalination -- 1.5.7.1 Solar and geothermal based greenhouse development -- 1.5.7.2 Closed seawater greenhouses for meeting water, energy and food security -- 1.5.8 The present market of renewable energy technologies -- 1.6 Conclusions. CHAPTER2. Agriculture sector modernization and renewable energy development: perspectives from developing countries -- 2.1 Introduction -- 2.1.1 Challenges to renewable energy development -- 2.1.2 Opportunities for renewable energy in developing countries and countries with economies in transition -- 2.2 The role of the Global Environment Facility -- 2.2.1 The GEF's renewable energy and energy-efficiency strategies -- 2.2.2 The GEF's renewable energy portfolio -- 2.2.3 The GEF's renewable energy portfolio and the modernization of agriculture -- 2.3 Biomass energy -- 2.3.1 Case study: Thailand - biomass co-generation -- 2.3.2 Case study: India - biomass gasification -- 2.3.3 Case study: Latvia - biomass combustion -- 2.4 Combined renewable energy technologies -- 2.4.1 Case study: India - combined renewable energy technologies -- 2.5 Geothermal energy -- 2.5.1 Case study: The Philippines - geothermal power -- 2.6 Small hydropower -- 2.6.1 Case study: Indonesia - small hydropower -- 2.7 Off-grid solar photovoltaic -- 2.7.1 Case study: India - off-grid photovoltaic -- 2.8 On-grid solar photovoltaic -- 2.8.1 Case study: Philippines - on-grid photovoltaic -- 2.9 Solar thermal heating -- 2.9.1 Case study: Tunisia - solar water heating -- 2.10 Solar thermal power -- 2.10.1 Case study: Egypt - solar thermal power -- 2.10.2 Case study Morocco - concentrating solar power -- 2.11 Wind power -- 2.11.1 Case study: China - wind power -- 2.11.2 Case study: Mexico - wind power -- 2.12 Summary and conclusions -- CHAPTER3. Linking food and nutrition security, urban and peri-urban agriculture, and sustainable energy use: experiences from South America -- 3.1 Introduction -- 3.1.1 The global food and nutrition security context. 3.2 Multiple benefits from urban and peri-urban agriculture actions -- 3.2.1 UPA and food and nutrition benefits -- 3.2.2 UPA and women's empowerment -- 3.2.3 UPA and environmental benefits -- 3.2.3.1 UPA and carbon footprint mitigation -- 3.2.3.2 UPA and sustainable water systems -- 3.3 Urban agriculture: examples from South America -- 3.3.1 UPA in Ecuador -- 3.3.1.1 Participative urban agriculture in Quito, Ecuador -- 3.3.1.2 WFP urban agriculture initiatives in Ecuador -- 3.3.2 Innovative UPA practices in Colombia -- 3.3.2.1 UPA powered by renewable energy in La Guajira, Colombia -- 3.4 Shaping the food and nutrition security agenda -- CHAPTER4. Renewable energy use for aquaponics development on a global scale towards sustainable food production -- 4.1 Introduction -- 4.2 Aquaponics technology -- 4.2.1 Simple recirculating units -- 4.2.2 Modern RAS and hydroponics -- 4.2.3 Resource intensity -- 4.2.4 Integrated multi-trophic approach -- 4.3 Aquaponics as a sustainable food production method -- 4.3.1 Types of products -- 4.3.1.1 Fish -- 4.3.1.2 Terrestrial plants -- 4.3.1.3 Other species -- 4.3.2 Control and safety -- 4.3.3 Efficient use of resources -- 4.3.3.1 Renewable energy sources -- 4.3.3.2 Energy efficiency and waste streams -- 4.3.3.3 Savings through well-designed integration -- 4.4 Connection to UN Sustainable Development Goals 2015-2030 -- 4.4.1 UN Sustainable Development Goals -- 4.4.1.1 Goal 2 End hunger, achieve food security and improved nutrition and promote sustainable agriculture -- 4.4.1.2 Goal 3 Ensure healthy lives and promote well-being for all at all ages -- 4.4.1.3 Goal 6 Ensure access to water and sanitation for all -- 4.4.1.4 Goal 7 Ensure access to affordable, reliable, sustainable and modern energy for all. 4.4.1.5 Goal 8 Promote inclusive and sustainable economic growth, employment and decent work for all -- 4.4.1.6 Goal 9 Build resilient infrastructure, promote sustainable industrialization and foster innovation -- 4.4.1.7 Goal 11 Make cities inclusive, safe, resilient and sustainable -- 4.4.1.8 Goal 12 Ensure sustainable consumption and production patterns -- 4.4.1.9 Goal 13 Take urgent action to combat climate change and its impacts -- 4.4.1.10 Goal 14 Conserve and sustainably use the oceans, seas and marine resources -- 4.4.1.11 Goal 15 Sustainably manage forests, combat desertification, halt and reverse land degradation, halt biodiversity loss -- 4.5 Conclusions and future work -- 4.5.1 Conclusions -- 4.5.2 Future work -- CHAPTER5. Renewable energy use and potential in remote central Australia -- 5.1 Introduction -- 5.2 Renewable energy supply: state and trends in remote Australia -- 5.2.1 Current state of energy use in remote Australia -- 5.2.2 Potential and opportunities for solar energy supply -- 5.2.2.1 Location -- 5.2.2.2 Community needs -- 5.2.2.3 Potential applications of renewable energy in agriculture in remote communities -- 5.2.2.4 Cost of solar technology -- 5.2.2.5 Increasing solar energy supply penetration -- 5.2.2.6 Growth in experience and capacity -- 5.2.2.7 Storage and integration -- 5.2.3 Challenges for solar energy supply -- 5.3 Case studies from inland remote Australia -- 5.3.1 Description of Alice Springs and Lajamanu -- 5.3.2 Current state of energy supply mix in case studies -- 5.3.3 Opportunities and challenges for renewable energy in the case study locations -- 5.4 Discussion -- 5.5 Conclusion -- CHAPTER6. Opportunities of adopting renewable energy for the nursery industry in Australia -- 6.1 Introduction -- 6.2 Energy use in nursery -- 6.2.1 Energy audits and assessments. 6.2.2 Case studies of nursery energy use in Australia -- 6.3 Opportunities of adopting alternative energy sources -- 6.3.1 Opportunities of adopting solar energy -- 6.3.2 Opportunities of adopting wind energy -- 6.3.3 Opportunities of adopting bioenergy -- 6.4 Development of online calculator for alternative energy sources -- 6.5 Case studies -- 6.5.1 Solar energy generation -- 6.5.2 Wind energy generation -- 6.6 Conclusion -- CHAPTER7. Fundamentals of solar energy -- 7.1 Introduction -- 7.1.1 Solar energy resources and potentials -- 7.1.2 Solar radiation and maps -- 7.2 Photovoltaic effect - principle and operating mechanism of solar cells -- 7.2.1 History of photovoltaic effect discovery and PV-cell development -- 7.2.1.1 First generation silicon-based solar cells -- 7.2.1.2 Second generation solar cells -- 7.2.1.3 Third generation solar cell -- 7.2.2 Main characteristics of solar cells -- 7.3 System design: PV direct, grid-tied, stand-alone, grid-tied with battery backup, solar thermal - PVT -- 7.3.1 On-grid and off-grid systems and their applications -- 7.3.2 PVT systems and their application -- 7.4 Storage: batteries, capacitors and supercapacitors, operation principle, new development (graphen etc -- 7.4.1 Batteries -- 7.4.1.1 Primary batteries -- 7.4.1.2 Secondary (rechargeable) batteries -- 7.4.2 Capacitors and supercapacitors -- 7.4.2.1 Supercapacitor construction -- 7.4.2.2 Supercapacitor vs. other energy storage devices -- CHAPTER8. Renewable energy technologies for greenhouses in semi-arid climates -- 8.1 Introduction -- 8.2 Greenhouses in semi-arid climates -- 8.3 Overview of energy demands in greenhouses -- 8.3.1 Greenhouse heating and cooling loads -- 8.3.2 Greenhouse electricity requirements -- 8.4 Renewable energies applicable to greenhouses -- 8.4.1 Wind energy. 8.4.2 Low and medium temperature solar thermal energy. Chen, Guangnan Chandrasekharam, D Piechocki, Janusz 9781138029705 print version oai:cds.cern.ch:2303846 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4935546 ebook ebook EBL201802 Engineering SzGeCERN BOOK n 201806 201802 21 PUBLIC BOOK DELETED 2303820 SzGeCERN 20210421205440.0 9781784660604 print version 9781784660611 electronic version electronic version oai:cds.cern.ch:2303820 cerncds:BOOK EBL 2093665 eng TD794.5 -- .W37 2015eb 531.68 Syngellakis, S Waste to energy Ashurst WIT Press 2014 267 p ebook Cover -- Waste to Energy -- Copyright Page -- Preface -- Acronyms -- Contents -- High rate, low F:M anaerobic treatment of medium strength waste streams using the static granular bed reactor for renewable energy production -- Squeezing wastes in a wastewater treatment plant -- application of an anaerobic baffled reactor to produce biogas from kitchen waste -- Rubbish or resources: an investigation into converting municipal solid waste to bio-ethanol production -- Biohydrogen production by Clostridium beijerinckii -- Comparison of three options for biodiesel production from waste vegetable oil -- Characterization of physical and chemical properties of fuel containing animal waste -- The use of wastes as alternative fuels in cement production -- Small decentralised thermal power stations for refuse-derived fuel -- Sustainable waste processing in a grate furnace and in a fluidized bed incinerator: WtE, recycling and environmental concerns -- Numerical optimisation of operating conditions of waste to energy -- A comparative study for energetic valorisation of partially digested sewage sludge -- Evaluation of thermodynamic efficiency of biowaste gasification -- Batch waste gasification technology: characteristics and perspectives -- Experimental study and model validation of waste gasification in an up-draft fixed-bed gasifier -- Conversion of waste rubber as an alternative route to renewable fuel production -- Process simulation and sensitivity analysis of waste plastics gasification in a fluidized bed reactor -- Recovering energy from liquid sanitary waste through direct alcohol fuel cells -- Gasified residual/waste biomass as solid oxide fuel cell feed for renewable electricity production -- Poultry litter valorization to energy -- A review of the bioenergy potential of residual materials in Quebec. Waste as a resource in the United Kingdom: energy and sustainability -- Perspectives of refuse-derived fuel in Romania after entrance into the EU -- System analysis for integration of landfill energy production into the regional energy supply -- Selective collection and waste-to-energy strategies: which interaction? -- Author index. Waste to Energy deals with the very topical subject of converting the calorific content of waste material into useful forms of energy. Topics included cover: Biochemical Processes; Conversions by Thermochemical Processes; Computational Fluid Dynamics Modelling; Combustion; Pyrolysis; Gasification; Biofuels; Management and Policies. EBL201802 General Theoretical Physics SzGeCERN EBL Recycling (Waste, etc) EBL Refuse as fuel EBL Salvage (Waste, etc) BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_2093665 ebook n 201806 201802 21 PUBLIC https://catalogue.library.cern/legacy/2303820 BOOK MIGRATED 2303818 SzGeCERN 20210421205440.0 9783319114866 print version 9783319114873 electronic version electronic version oai:cds.cern.ch:2303818 cerncds:BOOK EBL 1997964 eng QE1-996.5GE1-350QC13 532.05 Klapp, Jaime Selected topics of computational and experimental fluid mechanics Cham Springer 2015 542 p ebook Environmental science and engineering series Preface -- Acknowledgments -- Contents -- Contributors -- Part I Invited Lectures -- Compositional Flow in Fractured Porous Media: Mathematical Background and Basic Physics -- 1 Introduction -- 2 Multiphase Flow in Porous Media -- 2.1 Undeformable Porous Media -- 2.2 Deformable Porous Media -- 3 Multicomponent Flow in a Single Fluid Phase -- 4 Compositional Flow in a Porous Medium -- 5 Chemical Flooding Compositional Flow in Porous Media -- 6 Compositional Flow in Fractured Porous Media -- 6.1 Dual-Continuum Model -- 6.2 Triple-Continuum Model -- References -- Turbulent Thermal Convection -- 1 Introduction -- 2 Rayleigh-Bénard Convection -- 3 High Ra and Ultimate Regime -- 4 Large Aspect Ratio and Large Scales -- 5 Conclusions -- References -- Dissipative Particle Dynamics: A Method to Simulate Soft Matter Systems in Equilibrium and Under Flow -- 1 Introduction -- 2 Details of the Dissipative Particle Dynamics Method -- 2.1 Basic Molecular Dynamics Simulation -- 2.2 Simulating at Constant Temperature: The Langevin Thermostat -- 2.3 The Dissipative Particle Dynamics Thermostat -- 3 Interaction Models: Soft and Hard Potentials -- 3.1 DPD with Soft Potentials -- 3.2 Selected Examples of Soft Matter Systems in Equilibrium -- 3.3 DPD with Hard Potentials -- 4 Selected Examples of DPD in Flow Simulations -- 4.1 Polymer Brushes with Soft Potentials -- 4.2 Hard Coarse-Grained Potentials -- 5 The Conservation of Temperature in Flow Simulations -- 6 Concluding Remarks -- References -- Flow Coherence: Distinguishing Cause from Effect -- 1 Introduction -- 2 Mathematical Setup -- 3 Geodesic Transport Theory -- 4 Application to an Oceanic Flow Dataset -- 5 Final Remarks -- References -- Parametrisation in Dissipative Particle Dynamics: Applications in Complex Fluids -- 1 Introduction -- 2 Electrostatic Dissipative Particle Dynamics: A Brief Overview. 3 Parametrisation for Realistic Systems -- 3.1 Concentration Dependence of the DPD Interaction Parameters -- 3.2 Temperature Dependence of the DPD Interaction Parameters -- 4 Applications -- 4.1 Interfacial Tension -- 4.2 Adsorption Isotherms -- 4.3 Disjoining Pressure -- 4.4 Radius of Gyration -- 5 Scaling -- 6 Conclusions -- References -- Smoothed Particle Hydrodynamics for Free-Surface Flows -- 1 Introduction -- 2 Theory -- 2.1 SPH Interpolant -- 2.2 The Smoothing Kernel -- 2.3 Momentum Equation -- 2.4 Continuity Equation -- 2.5 Equation of State -- 2.6 Moving the Particles -- 2.7 Time Stepping -- 2.8 Variable Time Step -- 2.9 Boundary Conditions -- 3 Validation Case -- 4 DualSPHysics Capabilities -- 4.1 Wave Propagation -- 4.2 Wave Interaction with a Fixed Complex Structure -- 4.3 Wave Interaction with a Floating Object -- 5 Conclusions -- References -- Numerical Modelling of the Extratropical Storm Delta Over Canary Islands: Importance of High Resolution -- 1 Introduction -- 2 Methods -- 3 Numerical Solution and Results -- 4 Conclusions -- References -- Four-Winged Flapping Flyer in Forward Flight -- 1 Introduction -- 2 Experimental Setup -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Flows from Bins: New Results -- 1 Introduction -- 2 Dry Friction: A Historical Review -- 3 The Mass Flow Rate Problem -- 3.1 Mass Flow Rate for Large Grains Through Side Walls -- 4 Tilted Bins -- 4.1 The Problem -- 4.2 The Franklin and Johanson Formula -- 4.3 Experiments -- 4.4 The Formulation of a Correlation -- 5 Pressures in a Silo -- 5.1 Calculation of the Pressure and Traction Force in the Silo -- 6 Conclusions -- References -- Some Aspects of Turbulence Role in Oceanic Currents -- 1 Introduction -- 1.1 Ocean General Circulation -- 1.2 Turbulence in the Ocean -- 2 In-Situ Measurements -- 2.1 Fine-Structure Parameterization. 2.2 Microstructure Direct Measurements -- 2.3 Tracer-Release Experiment -- 3 Observations and Results -- 4 Summary -- References -- Alya Red CCM: HPC-Based Cardiac Computational Modelling -- 1 Introduction -- 2 Alya, an HPC-Based Computational Mechanics Tool -- 2.1 General Description -- 3 Parallel Computational Aspects -- 3.1 Parallel Efficiency -- 4 Examples -- 4.1 Electro-Mechanical Coupling in a Bi-Ventricular Geometry -- 4.2 Electro-Mechanical-Fluid Coupling in a Simplified Ventricular Geomety -- 5 Conclusions and Future Lines -- References -- Singularities in Surface Waves -- 1 Introduction -- 2 Spatial Focusing, Caustics and Dislocations -- 3 Optical Methods to Study Surface Waves -- 3.1 Experimental Setup -- 4 Numerical Method -- 5 Experimental and Numerical Results -- 6 Conclusions -- References -- Part II Multiphase Flow and Granular Media -- Isotherms of Natural and Forced Convection Around a Heated Horizontal Cylinder Embedded in a Porous Medium -- 1 Introduction -- 2 Theoretical Model -- 3 Experimental Setup -- 4 Isotherms Around the Source -- 5 Isotherms Under Free Convection -- 5.1 Isotherms for a Horizontal Line Source of Heat Under a Uniform Stream -- 6 Conclusions -- References -- Parameter Estimation in a Model for Tracer Transport in One-Dimensional Fractals -- 1 Introduction -- 2 The Model -- 2.1 The Fractal Continuum Model -- 2.2 The Tracer Advection-Dispersion Equation -- 2.3 Boundary and Initial Conditions -- 2.4 Numerical Solution of the Advection-Dispersion Equation -- 3 Parameter Estimation Procedure -- 3.1 Fitting Parameters -- 3.2 The Inverse Problem -- 3.3 Optimization Algorithm -- 4 Synthetic Data Generation -- 5 Robustness of the Method -- 5.1 Sensitivity to the Level of Data Noise -- 5.2 Sensitivity to the Amount of Data -- 5.3 Sensitivity to the Amount of Fitting Parameters -- 6 Discussion of Results. 7 Conclusions -- References -- Mixed Convection in a Rectangular Enclosure with Temperature-Dependent Viscosity and Viscous Dissipation -- 1 Introduction -- 2 Problem Formulation -- 3 Numerical Results and Model Validation -- 4 Results -- 5 Conclusions -- References -- Characterization of a Bubble Curtain for PIV Measurements -- 1 Introduction -- 1.1 Theoretical Framework -- 2 Background -- 3 Methodology -- 4 Results and Discussion -- 4.1 Results for One Column of Bubbles -- 4.2 Results for Three Bubbles -- 4.3 Results Obtained When Waves Were Introduced -- 5 Conclusions -- References -- Numerical Simulation of a Gas-Stirred Ladle -- 1 Introduction -- 2 Two-Phase Fluid Flow Model -- 3 Results and Discussion -- 4 Conclusions -- References -- Folding of the Apolipoprotein A1 Driven by the Salt Concentration as a Possible Mechanism to Improve Cholesterol Trapping -- 1 Introduction -- 2 Model and Methodology -- 3 Results and Discussion -- 4 Conclusions -- References -- Graphical Analysis of Fluid Flow Through Polymeric Complex Structures Using Multi-scale Simulations -- 1 Introduction -- 2 Smoothed Particle Hydrodynamics and Dissipative Particle Dynamics -- 2.1 Smoothed Particle Hydrodynamics -- 2.2 Dissipative Particle Dynamics -- 3 Simulations and Visualization -- 4 Conclusions -- References -- Mass Flow Rate of Granular Material from an L-Valve Without Aeration -- 1 Introduction -- 2 Gravity Flow: A Simple Model -- 3 Experiments -- 4 Conclusions -- References -- Part III Convection and Diffusion -- Heat Transfer in Biological Tissues -- 1 Introduction -- 2 Model Description -- 2.1 Dimensionless Equation -- 3 Results and Discussion -- 3.1 Steady State Temperature -- 4 Conclusions -- References -- Simulation of In-situ Combustion in a Matrix-Fracture System at Laboratory Scale -- 1 Introduction -- 2 Theoretical Model -- 3 The Base Case. 4 The Matrix-Fracture Case -- 5 Concluding Remarks -- References -- Numerical Simulation of In-situ Combustion in a Fracture-Porous Medium System -- 1 Introduction -- 2 Governing Equations, Boundary and Initial Conditions -- 3 Homogeneous System Simulation -- 4 Fracture-Porous Medium System Simulation -- 5 Conclusions -- References -- Mathematical Modeling of Steam Injection in Vertical Wells -- 1 Introduction -- 2 Model Formulation -- 2.1 Physical Model -- 2.2 Mathematical Model -- 3 Numerical Implementation -- 4 Results and Discussions -- 5 Conclusions -- References -- Oxygen Transport Under Combustion Conditions in a Fracture-Porous Medium System -- 1 Introduction -- 2 Physical and Mathematical Models -- 2.1 Governing Equations, Initial and Boundary Conditions -- 3 Results and Discussions -- 3.1 Effect of the Fracture Peclet Number -- 3.2 Effect of the Fracture Width -- 4 Conclusions -- References -- Numerical Simulation of the Flow in an Open Cavity with Heat and Mass Transfer -- 1 Introduction -- 2 Problem Formulation -- 3 Numerical Solution and Validation of the Results -- 4 Results and Discussions -- 5 Conclusions -- References -- 3D Numerical Simulation of Rayleigh-Bénard Convection in a Cylindrical Container -- 1 Introduction -- 2 Methodology -- 2.1 Fourier Series Approximation -- 2.2 Projection Method -- 2.3 Initial and Boundary Conditions -- 3 Results -- 4 Conclusions -- References -- Solidification in the Presence of Natural Convection in a Hele-Shaw Cell -- 1 Introduction -- 2 Experimental Device and Visualization Methods -- 3 Results -- 4 Discussion and Conclusions -- References -- Confinement and Interaction Effects on the Diffusion of Passive Particles -- 1 Introduction -- 2 Model -- 3 Results -- 4 Conclusions -- References -- Thermal Convection in a Cylindrical Enclosure with Wavy Sidewall -- 1 Introduction. 2 Problem Statement. EBL201802 Other Fields of Physics SzGeCERN EBL Fluid dynamics -- Mathematics BOOK Ruíz Chavarría, Gerardo Sigalotti, Leonardo Di G Lopez Villa, Abel Sigalotti, Leonardo di G https://cds.cern.ch/auth.py?r=EBLIB_P_1997964 ebook n 201806 201802 21 PUBLIC https://catalogue.library.cern/legacy/2303818 BOOK MIGRATED 2303814 SzGeCERN 20210421205440.0 9783642322921 electronic version electronic version 9783642442469 print version oai:cds.cern.ch:2303814 cerncds:BOOK EBL 1082539 eng QE1-996.5GE1-350SD1- 512.2 Singh, Karan Deo Capacity building for the planning, assessment and systematic observations of forests with special reference to tropical countries Berlin Springer 2014 234 p ebook Environmental science and engineering series Foreword -- Preface -- Acknowledgments -- Abbreviations -- Contents -- Part IBuilding Forest Inventory Institutions -- 1 The Growing Mandate of Forest Inventories -- 1.1…Emerging Environmental Problems -- 1.2…The Road from Stockholm to Rio -- 1.3…Global Forest Resources Assessments During 2000--2010 -- 1.4…The Existing Capacity in the Tropical Regions -- 1.5…The Purpose and Organization of the Book -- 1.5.1 Purpose of the Book -- 1.5.2 Organization of the Book -- 1.5.3 The Information Sources -- Recommended Further Reading -- On Web -- 2 Forest Inventory Problem Formulation -- 2.1…Linking Forest Inventory with the Problem -- 2.2…The Changing Demand for Forest Inventory Information -- 2.3…Problem-Oriented Classification of Forest Inventories -- 2.4…Identification of Information Needs -- 2.5…Identification and Assessment of Environmental Functions of Forests -- Recommended Further Reading -- 3 Organizing Existing Information -- 3.1…The Role of Existing Information -- 3.2…The Existing Forest Inventories Data and Reports -- 3.3…The Existing Forest Research Data -- 3.4…National/International Libraries and Journals -- 3.5…Forest Dynamics Plots (FDP) -- 3.6…FAO FORIS: An Example of Organizing Country Data -- Recommended Further Reading -- 4 Technology Transfer and Applications -- 4.1…The Role of Technology in Forest Inventory -- 4.2…A Classification of Emerging Technologies -- 4.3…Strategy for Adopting New Technologies -- 4.3.1 Strengthening Core Competence -- 4.4…Special Considerations in Technology Applications -- 4.5…FAO Remote Sensing Surveys of Tropical Forests -- 4.5.1 Background -- 4.5.2 Methodology -- 4.5.3 Main Findings -- Recommended Further Reading -- On Web -- 5 Capacity Building in Planning and Forest Assessments -- 5.1…The Problem Formulation -- 5.2…Areas for Capacity Development in Forest Assessments. 5.3…Integration of Planning with Forest Inventory: An Important Issue -- 5.3.1 Long-Term Forestry Planning (Strategic Forestry Planning) -- 5.3.2 Medium and Short-Term Forestry Planning (or Forest Management Planning) -- 5.4…Sustainable Non-Timber Forest Management: An Emerging Area -- 5.5…European Experience with Capacity Development -- 5.6…The Role of International/Regional Cooperation -- Geomatics Center of the Andhra Pradesh Forest Department, Hyderabad, India -- Recommended Further Reading -- Geomatics Center of the Andhra Pradesh Forest Department, Hyderabad, India (contd.)An Analysis of Causes for the Success: The subject is complex to analyze, but some of the contributory factors are briefly touched upon. Initially, FAO provided a vision for the GIS development, application and its institutional growth on a continuing basis including establishing a main center at Dullapalli, close to Hyderabad, and the vision of the three regional sub-centers by ecological zone. All these are real -- Part IIPractice of Forest Inventory -- 6 Statistical Planning -- 6.1…The Purpose of Statistical Planning -- 6.2…Role of the Forest Statistician -- 6.3…Main Steps in the Sample Survey Design -- 6.4…Some Commonly Used Designs for Forest Assessments -- 6.4.1 A Brief Description of Designs -- 6.5…Survey of Trees Outside Forests -- 6.5.1 Introduction -- 6.5.2 The Formulation of Survey Objectives -- 6.5.3 Defining Survey Universe -- 6.5.4 Survey Methodology -- 6.5.5 Bangladesh National Inventory of Village Forests -- 6.5.6 Survey of Trees Outside Forests in India -- 6.5.7 Distance Method for Study of Discontinuous Vegetation of Andhra Pradesh, India -- 6.6…A Forest Inventory Planning Checklist -- Recommended Further Reading -- On Web -- 7 Special Studies -- 7.1…The Scope of Special Studies -- 7.2…The Planning of Special Studies -- 7.3…Development of Volume Equations. 7.4…Biomass Functions -- 7.5…Non-Wood Forest Products -- 7.5.1 Fruit/Seed/Pulp Yield -- Recommended Further Reading -- 8 Data Collection -- 8.1…Classification of Data Sources -- 8.2…Field Plan and Logistics -- 8.3…Field Manual and Field Forms -- 8.4…Special Studies -- 8.5…Check-Crew Work -- 8.6…Computer-Assisted &!nbsp -- Editing &!nbsp -- and &!blank -- Data &!nbsp -- Archival &!nbsp -- Routines -- Recommended Further Reading -- 9 Data Processing -- 9.1…Roles of Data Processing -- 9.2…Data Processing Operations in a Forest Inventory -- 9.2.1 Phase I: Manual and Computer-Assisted Editing of Field Forms -- 9.2.2 Phase II: Development of Volume Functions -- 9.2.3 Phase III: Tree Volume Estimation and Plot Level Summaries for Error Calculation -- 9.2.4 Phase IV: Estimation of Means and Standard Errors -- 9.2.5 Phase V: Final Tabulations and Database Storage and Archival Routines -- 9.3…Some Strategic Data Processing Questions -- 9.4…Generalized Versus Tailor-Made EDP Systems -- 9.5…Case Study of FAO Forest Inventory Data Processing System (FIDAPS) -- 9.5.1 Output and Input Specifications -- 9.5.2 PC-FIDAPS documentation -- 9.5.3 Concluding Remarks -- 10 The Report Writing -- 10.1…General Comments on Reporting -- 10.2…Forest Inventory Problem Formulation -- 10.3…The Statistical Planning -- 10.3.1 The Sampling Design -- 10.3.2 Special Studies -- 10.4…Main Findings of the Survey -- 10.4.1 The Land Cover and Forest Changes -- 10.4.2 The Condition of the Forest Floor -- 10.4.3 Trees Outside Forests -- 10.4.4 Comparison with Other Forests in the District -- 10.4.5 Livelihood and Resource-Use Pattern -- 10.4.6 Fuelwood Gathering and Sal Leaf Plucking -- 10.5…Survey Evaluation and Recommendations -- Recommended Further Reading -- Part IIISouth-South Cooperation -- 11 Common Patterns of Spatial Variations in the Tropics. 11.1…Similarities in Forest Formations Across the Continents -- 11.2…Macro-Variation Patterns and Their Significance for Stratification -- 11.3…Meso-Variation Patterns and Their Significance for the Sampling Design -- 11.4…Micro-Variation Patterns and Their Significance for Plot Size and Shape -- 11.5…Rain Forest Loss and Change -- Recommended Further Reading -- 12 Remote Sensing Applications in Forest Inventory -- 12.1…On Rapid Developments in Remote Sensing Technology -- 12.2…Lidar Potentials in Forest Inventory -- 12.3…Applications of Aerial Photographs in Forest Inventory -- 12.3.1 Complete Photo Interpretation -- 12.3.2 Point Photo Interpretation -- 12.4…Estimating Cost-Effectiveness of Remote Sensing -- 12.5…A Case Study of FSI State of Forest Report -- 12.5.1 Assessment Method -- 12.5.2 Accuracy Assessment -- Recommended Further Reading -- 13 Growth and Yield Studies -- 13.1…Special Growth and Yield Conditions in the Tropics -- 13.2…Growth and Yield of Tropical Plantations -- 13.2.1 Methods of Study -- 13.2.2 The Current State of Knowledge -- 13.3…Growth and Yield Research in the Temperate Zone -- 13.3.1 The Current Status -- 13.3.2 Forest Plantation's Development Modeling -- Increment and Volume Relation -- 13.4…Growth and Yield of Mixed Tropical Forests -- 13.5…Growth and Yield of Individual Trees -- 13.5.1 Methods of Research -- 13.5.2 Stump and Stem Analysis -- 13.5.3 Increment Borings -- 13.6…Applications of G&Y Research in Forest Management Planning -- 13.6.1 Hill Dipterocarp Forests of Malaysia -- 13.6.2 Mixed Tropical Forests, Indonesia -- Recommended Further Reading -- 14 Estimating Potential Productivity of Forests -- 14.1…The Need for Potential Productivity Estimation -- 14.2…Description of Climatic Indices -- 14.2.1 Paterson Climate--Vegetation--Productivity Index -- 14.2.2 Validation of Paterson Index for India. 14.2.3 Weck Productivity Index (WPI) -- 14.2.4 Validation of Weck Productivity Indices -- 14.3…Recent Availability of Climatic Data for the Tropics -- 14.3.1 Temperature -- 14.3.2 Growing Season -- 14.3.3 Relative Humidity -- 14.3.4 Day Length -- 14.3.5 Precipitation -- 14.4…The Areas of Further Research on Forest--Climate Relation -- 14.4.1 Productivity Indices -- 14.4.2 Annual Growth Indices -- 14.4.3 Hardness Index -- 14.4.4 Suggestions for a Climatic Index -- 14.5…South--South Cooperation in Climate--Change Research -- Recommended Further Reading -- 15 Land Evaluation Techniques for Forestry Planning -- 15.1…The Purpose of Land Evaluation -- 15.2…Description of Land Evaluation Techniques -- 15.3…Applications of Land Evaluation Techniques in Forestry -- 15.4…Land Evaluation for Forestry Planning at the National Level -- 15.5…Land Evaluation for Forestry Planning at the District Level -- Recommended Further Reading -- Part IVInternational Dimensions of ForestResources Assessments -- 16 Identification and Evaluation of Environmental Functions of Forests -- 16.1…The Problem Formulation -- 16.2…Components of Cultural and Natural Ecosystems -- 16.3…The Ecosystem Dynamics -- 16.4…The Ecosystem Variables and Change Model -- 16.5…Example of a Study Using Ecosystem Approach -- Recommended Further Reading -- 17 Ecological Zoning and Assessments of Biological Diversity in the Tropics -- 17.1…The Need for Ecological Zoning -- 17.2…The Approach for Ecological Zoning -- 17.2.1 The Choice of Parameters -- 17.2.2 The Classification and Mapping of EFZ -- 17.2.3 The Validation Phase -- 17.3…The EFZ Map and the Database -- 17.4…The Tropical Forest Ecosystems Report 1992 -- 17.5…Biodiversity Loss Associated with Tropical Deforestation -- 17.5.1 Problem Formulation -- 17.5.2 Modeling of Biological Diversity Richness Loss: FRA1990 Approach. 17.5.3 Species Area Relation by Ecological Zone. This volume covers a very wide range of topics, including core areas in commutative algebra and also relations to algebraic geometry, algebraic combinatorics, hyperplane arrangements, homological algebra, and string theory. EBL201802 Mathematical Physics and Mathematics SzGeCERN EBL Forest management BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1082539 ebook n 201806 201802 21 PUBLIC https://catalogue.library.cern/legacy/2303814 BOOK MIGRATED 2303813 SzGeCERN 20200222231825.0 9783540882572 print version 9783540882589 electronic version electronic version oai:cds.cern.ch:2303813 cerncds:BOOK eng QH75-77GE300-350TD88 621.45 Sathyajith, Mathew Advances in wind energy conversion technology Berlin Springer 2011 218 p Environmental science and engineering series Advances in Wind Energy Conversion Technology -- Preface -- Contents -- 1 Aerodynamics of Horizontal Axis Wind Turbines -- 2 Analysis of Wind Regimes and Performance of Wind Turbines -- 3 Advances in Offshore Wind Resource Estimation -- 4 Short Term Forecast of Wind Power -- 5 Analysis of Wind Turbine Loads -- 6 Power Regulation Strategies for Wind Turbines -- 7 Grid Integration of Offshore Wind Farms -- 8 Small Wind Turbines -- Index. The technology of generating energy from wind has significantly changed during the past five years. The book brings together all the latest aspects of wind energy conversion technology - from wind resource analysis to grid integration of generated electricity. EBLlink deleted SzGeCERN Engineering EBL Renewable energy sources BOOK Philip, Geeta Susan n 201806 21 PUBLIC BOOK DELETED 2303802 SzGeCERN 20210421205441.0 9781845640521 print version 9781845642297 electronic version electronic version oai:cds.cern.ch:2303802 cerncds:BOOK EBL 512110 eng TA357.5.F58 -- V67 2006eb 532.0595 Brocchini, M Vorticity and turbulence effects in fluid structure interaction an application to hydraulic structure design Ashurst WIT Press 2006 305 p ebook Advances in fluid mechanics 45 Cover -- Vorticity and Turbulence Effects in Fluid Structure Interaction: An Application to Hydraulic Structure Design -- Copyright Page -- CONTENTS -- Foreword -- CHAPTER 1: Techniques of research and results in the field of coherent structures of wallbounded turbulence -- CHAPTER 2: Results on large eddy simulations of some environmental flows -- CHAPTER 3: Nearshore mixing and macrovortices -- CHAPTER 4: Large scale circulations in shallow lakes -- CHAPTER 5: Multiple states in open channel flow -- CHAPTER 6: Flow induced excitation on basic shape structures -- CHAPTER 7: Air entrainment in vertical dropshafts with an orifice -- CHAPTER 8: Variational methods in sloshing problems -- CHAPTER 9: Turbulence, friction, and energy dissipation in transient pipe flow -- CHAPTER 10: Scalar dispersion within canopies: new challenges and frontiers -- CHAPTER 11: Flow solvers for liquid-liquid impacts. This book contains a collection of 11 research and review papers devoted to the topic of fluid-structure interaction.The subject matter is divided into chapters covering a wide spectrum of recognized areas of research, such as: wall bounded turbulence; quasi 2-D turbulence; canopy turbulence; large eddy simulation; lake hydrodynamics; hydraulic hysteresis; liquid impacts; flow induced vibrations; sloshing flows; transient pipe flow and air entrainment in dropshaft.The purpose of each chapter is to summarize the main results obtained by the individual research unit through a year-long activity on a specific issue of the above list. The main feature of the book is to bring state of the art research on fluid structure interaction to the attention of the broad international community.This book is primarily aimed at fluid mechanics scientists, but it will also be of value to postgraduate students and practitioners in the field of fluid structure interaction. EBL201802 Other Fields of Physics SzGeCERN EBL Electronic books -- local EBL Fluid-structure interaction EBL Turbulence BOOK Trivellato, F https://cds.cern.ch/auth.py?r=EBLIB_P_512110 ebook n 201806 21 PUBLIC https://catalogue.library.cern/legacy/2303802 BOOK MIGRATED 2303700 SzGeCERN 20210421205447.0 9780412714702 print version, paperback oai:cds.cern.ch:2303700 cerncds:BOOK eng 621.79 Structural adhesives directory and databook London Chapman & Hall 1996 416 p paper Softcover reprint of the original 1st ed. 1996 by Chapman & Hall A worldwide directory of commercially available adhesive products for use in a wide range of engineering disciplines. Along with product names and suppliers, basic property data are tabulated and cross-referenced. The book is subdivided according to class of adhesive, with introductions to each class followed by comparison tables and datasheets for each adhesive. The datasheets contain detailed information, from product codes to environmental properties and are therefore of interest across a broad readership. Standardized data will aid the user in cross-comparison between different manufacturers and in easily identifying the required information. SzGeCERN Engineering BOOK Hussey, Bob ed. Wilson, Jo ed. CERN Central Library 621.79 HUS h 201806 21 https://catalogue.library.cern/legacy/2303700 BOOK MIGRATED 2303666 SzGeCERN 20180613143433.0 DOI IEEE 10.1109/NEWCAS.2017.8010176 oai:inspirehep.net:1650761 cerncds:CERN ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1650761 2018-02-08T16:37:14Z 2018-02-09T06:04:22Z marcxml Inspire 1650761 eng Voulgari, Evgenia evgenia.voulgari@cern.ch CERN IEEE A 9-decade current to frequency converter with active leakage compensation 4 p IEEE An Application Specific Integrated Circuit (ASIC) that is able to digitize input current starting from a few femtoamperes (fA) up to microamperes (μA), was designed for the environmental monitoring of the background radiation and for radiation protection at CERN. The Ultra-low Picoammeter 2 (Utopia 2) ASIC, is based on the current to frequency converter (CFC) architecture and can compensate for the net input leakage currents due to a dummy channel scheme. The replica leakage current can follow the temperature variations and provide a leakage current-free readout front-end for radiation detectors. SzGeCERN Engineering 2017 author Leakage currents author Current measurement author Electrostatic discharges author Temperature measurement author Detectors author Pollution measurement author Capacitors author application specific integrated circuits author frequency convertors author leakage currents author particle detectors author current to frequency converter author active leakage compensation author application specific integrated circuit author ASIC author femtoamperes author microamperes author environmental monitoring author background radiation author radiation protection author CERN author ultra-low picoammeter 2 author Utopia 2 author radiation detectors CERN Noy, Matthew CERN Anghinolfi, Francis CERN Perrin, Daniel CERN Krummenacher, François Ecole Polytechnique, Lausanne Kayal, Maher Ecole Polytechnique, Lausanne 345-348 NEWCAS 2017 15th IEEE International New Circuits and Systems Conference 2017 13 2313648 345-348 strasbourg20170625 ARTICLE ConferencePaper 2303240 SzGeCERN 20210421205520.0 9783319725109 print version, paperback 9783319725116 electronic version electronic version DOI 10.1007/978-3-319-72511-6 ebook oai:cds.cern.ch:2303240 cerncds:BOOK eng QC138-168.86 QA930 537.84 532.5 23 532 23 533.62 Webb, Gary Magnetohydrodynamics and fluid dynamics action principles and conservation laws Cham Springer 2018 301 p ebook paper Lecture notes in physics 946 0075-8450 Introduction -- The MHD Equations and Thermodynamics -- Advected Invariants in MHD and Fluid Dynamics -- Topological Invariants -- Euler Poincaré Approach -- Hamiltonian Approach -- Multi-Symplectic Formulation -- The Lagrangian Map -- Symmetries and Noether's Theorems in MHD -- MHD Stability -- Concluding Remarks. This text focuses on conservation laws in magnetohydrodynamics, gasdynamics and hydrodynamics. A grasp of new conservation laws is essential in fusion and space plasmas, as well as in geophysical fluid dynamics; they can be used to test numerical codes, or to reveal new aspects of the underlying physics, e.g., by identifying the time history of the fluid elements as an important key to understanding fluid vorticity or in investigating the stability of steady flows. The ten Galilean Lie point symmetries of the fundamental action discussed in this book give rise to the conservation of energy, momentum, angular momentum and center of mass conservation laws via Noether’s first theorem. The advected invariants are related to fluid relabeling symmetries – so-called diffeomorphisms associated with the Lagrangian map – and are obtained by applying the Euler-Poincare approach to Noether’s second theorem. The book discusses several variants of helicity including kinetic helicity, cross helicity, magnetic helicity, Ertels’ theorem and potential vorticity, the Hollman invariant, and the Godbillon Vey invariant. The book develops the non-canonical Hamiltonian approach to MHD using the non-canonical Poisson bracket, while also refining the multisymplectic approach to ideal MHD and obtaining novel nonlocal conservation laws. It also briefly discusses Anco and Bluman’s direct method for deriving conservation laws.  A range of examples is used to illustrate topological invariants in MHD and fluid dynamics, including the Hopf invariant, the Calugareanu invariant, the Taylor magnetic helicity reconnection hypothesis for magnetic fields in highly conducting plasmas, and the magnetic helicity of Alfvén simple waves, MHD topological solitons, and the Parker Archimedean spiral magnetic field. The Lagrangian map is used to obtain a class of solutions for incompressible MHD. The Aharonov-Bohm interpretation of magnetic helicity and cross helicity is discussed. In closing, examples of magnetosonic N-waves are used to illustrate the role of the wave number and group velocity concepts for MHD waves.  This self-contained and pedagogical guide to the fundamentals will benefit postgraduate-level newcomers and seasoned researchers alike. Physics and astronomy SPR201802 SzGeCERN Other Fields of Physics SPR Geophysics SPR Fluids SPR Plasma (Ionized gases) SPR Environmental sciences SPR Fluid- and Aerodynamics SPR Plasma Physics SPR GeophysicsGeodesy SPR Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics) SPR Environmental Physics BOOK CERN Central Library 537.84 WEB 201802 SPR n 201806 21 PUBLIC https://catalogue.library.cern/legacy/2303240 BOOK MIGRATED 2303172 SzGeCERN 20210421205521.0 9783319692142 print version 9783319692159 electronic version electronic version DOI 10.1007/978-3-319-69215-9 ebook oai:cds.cern.ch:2303172 cerncds:BOOK eng QA315-316 QA402.3 QA402.5-QA402.6 515.64 23 Sustainable logistics and transportation optimization models and algorithms Cham Springer 2017 ebook Springer optimization and its applications 1931-6828 129 -Towards Sustainable Logistics (M. Soysal, J. M. Bloemhof-Ruwaard) -- Transportation Network Regulation for Air Pollution Minimization (M. Raap, M. Moll, S. Pickl) -- Cumulative VRP: a Simplified Model of Green Vehicle Routing (R. R. Singh, D. R. Gaur) -- Constructive algorithms for the cumulative vehicle routing problem with limited duration (D. Cinar, B.C.Ervural, K. Gakis, P. M. Pardalos) -- Column generation for optimal shipment delivery in a logistic distribution network (G. Kozanidis) -- Sustainable logistics network design under uncertainty (R. Daghigh, S. Pishvaeea, S. A. Torabi) -- Methodological Approaches to Reliable and Green Intermodal Transportation (E.Demir, M. Hrusovsky, W.Jammernegg, T.Van Woensel) -- A multi-product multi-vehicle inventory routing problem with uncertainty (S.Ercan, D. Cinar) -- The Impact of Bunker Risk Management on CO2 Emissions in Maritime Transportation Under ECA Regulation (Y. Gu, S. W. Wallace, X. Wang) -- Allied Closed Loop Supply Chain Network Optimization with Interactive Fuzzy Programming Approach (A. Çalık, N. Pehlivan, T.Paksoy, İ. Karaoğlan). Focused on the logistics and transportation operations within a supply chain, this book brings together the latest models, algorithms, and optimization possibilities. Logistics and transportation problems are examined within a sustainability perspective to offer a comprehensive assessment of environmental, social, ethical, and economic performance measures. Featured models, techniques, and algorithms may be used to construct policies on alternative transportation modes and technologies, green logistics, and incentives by the incorporation of environmental, economic, and social measures. Researchers, professionals, and graduate students in urban regional planning, logistics, transport systems, optimization, supply chain management, business administration, information science, mathematics, and industrial and systems engineering will find the real life and interdisciplinary issues presented in this book informative and useful. Mathematics and statistics SPR201802 SzGeCERN Mathematical Physics and Mathematics SPR Business logistics SPR Computer science SPR Computer mathematics SPR Mathematical models SPR Transportation engineering SPR Traffic engineering SPR Mathematics of Planet Earth SPR Transportation Technology and Traffic Engineering SPR Logistics SPR Mathematical Modeling and Industrial Mathematics SPR Mathematical Applications in Computer Science BOOK Cinar, Didem ed. Gakis, Konstantinos ed. Pardalos, Panos ed. SPR n 201806 201802 21 PUBLIC https://catalogue.library.cern/legacy/2303172 BOOK MIGRATED 2303147 SzGeCERN 20210421205525.0 9783319656328 print version 9783319656335 electronic version electronic version DOI 10.1007/978-3-319-65633-5 ebook (Open Access) oai:cds.cern.ch:2303147 cerncds:BOOK eng GB3-5030 QE1-996.5 23 550 Earth observation open science and innovation Cham Springer 2018 ebook ISSI scientific report series 15 This book is published open access under a CC BY 4.0 license. Over  the  past  decades,  rapid developments in digital and sensing technologies, such  as the Cloud, Web and Internet of Things, have dramatically changed the way we live and work. The digital transformation is revolutionizing our ability to monitor our planet and transforming the  way we access, process and exploit Earth Observation data from satellites. This book reviews these megatrends and their implications for the Earth Observation community as well as the wider data economy. It provides insight into new paradigms of Open Science and Innovation applied to space data, which are characterized by openness, access to large volume of complex data, wide availability of new community tools, new techniques for big data analytics such as Artificial Intelligence, unprecedented level of computing power, and new types of collaboration among researchers, innovators, entrepreneurs and citizen scientists. In addition, this book aims to provide readers with some reflections on the future of Earth Observation, highlighting through a series of use cases not just the new opportunities created by the New Space revolution, but also the new challenges that must be addressed in order to make the most of the large volume of complex and diverse data delivered by the new generation of satellites.  . Open Access CC-BY-4.0 The Authors Physics and astronomy SPR201802 SzGeCERN Astrophysics and Astronomy SPR Earth sciences SPR Remote sensing SPR Environmental management SPR Earth Sciences SPR Earth Sciences, general SPR Big Data SPR Remote SensingPhotogrammetry SPR Environmental Management BOOK Mathieu, Pierre-Philippe ed. Aubrecht, Christoph ed. 201802 SPR n 201806 21 PUBLIC https://catalogue.library.cern/legacy/2303147 BOOK MIGRATED 2302944 SzGeCERN 20210421205527.0 9781848169890 print version, hardback 9781783262922 print version, paperback oai:cds.cern.ch:2302944 cerncds:BOOK eng 93:574 Gay, Hannah The Silwood Circle a history of ecology and the making of scientific careers in late twentieth-century Britain London Imperial College Press 2013 430 p paper This is an original and wide-ranging account of the careers of a close-knit group of highly influential ecologists working in Britain from the late 1960s onwards. The book can also be read as a history of some recent developments in ecology. One of the group, Robert May, is a past president of the Royal Society, and the author of what many see as the most important treatise in theoretical ecology of the later twentieth century. That the group flourished was due not only to May's intellectual leadership, but also to the guiding hand of T. R. E. Southwood. Southwood ended his career as Linacre Professor of Zoology at the University of Oxford, where he also served a term as Vice-Chancellor. Earlier, as a professor and director of the Silwood Park campus of Imperial College London, he brought the group together. Since it began to coalesce at Silwood it has been named here the Silwood Circle. Southwood promoted the interests of its members with the larger aim of raising the profile of ecological and environmental science in Britain. Given public anxiety over the environment and the loss of ecosystems, his actions were well-timed.Ecology, which had been on the scientific margins in the first half of the twentieth century, came to be viewed as a science central to modern existence. The book illustrates its importance to many areas. Members of the Silwood Circle have acted as government advisors in the areas of conservation and biodiversity, resource management, pest control, food policy, genetically modified crops, sustainable agriculture, international development, defence against biological weapons, and epidemiology and infectious disease control. In recounting the science they carried out, and how they made their careers, the book reflects also on the role of the group, and the nature of scientific success. SzGeCERN Biography, Geography, History BOOK CERN Depot 1, bldg. 2 (DE1) 93:574 GAY 201802 h 201806 21 https://catalogue.library.cern/legacy/2302944 BOOK MIGRATED 2302893 SzGeCERN 20210421205531.0 0198812175 print version, paperback 9780198812173 print version, paperback ASIN 0198812175 oai:cds.cern.ch:2302893 cerncds:BOOK eng 001.8 Shneiderman, Ben The new ABCs of research achieving breakthrough collaborations Oxford Oxford University Press 2017 23 Jan 2018 317 p paper Product Description The problems we face in the 21st century require innovative thinking from all of us. Be it students, academics, business researchers of government policy makers. Hopes for improving our healthcare, food supply, community safety and environmental sustainability depend on the pervasive application of research solutions. The research heroes who take on the immense problems of our time face bigger than ever challenges, but if they adopt potent guiding principles and effective research lifecycle strategies, they can produce the advances that will enhance the lives of many people. These inspirational research leaders will break free from traditional thinking, disciplinary boundaries, and narrow aspirations. They will be bold innovators and engaged collaborators, who are ready to lead, yet open to new ideas, self-confident, yet empathetic to others.In this book, Ben Shneiderman recognizes the unbounded nature of human creativity, the multiplicative power of teamwork, and the catalytic effects of innovation. He reports on the growing number of initiatives to promote more integrated approaches to research so as to promote the expansion of these efforts. It is meant as a guide to students and junior researchers, as well as a manifesto for senior researchers and policy makers, challenging widely-held beliefs about how applied innovations evolve and how basic breakthroughs are made, and helping to plot the course towards tomorrow's great advancements. $17.44 AMZ201802 SzGeCERN Science in General BOOK CERN Central Library 001.8 SHN 201801 n 201805 21 https://catalogue.library.cern/legacy/2302893 BOOK MIGRATED 2302812 SzGeCERN 20180608114123.0 DOI IEEE 10.1109/TNS.2017.2713445 oai:inspirehep.net:1650777 cerncds:CERN ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1650777 2018-02-02T12:40:27Z 2018-02-03T05:54:16Z marcxml Inspire 1650777 eng Tali, Maris ORCID:0000-0001-9592-4756 CERN IEEE High-Energy Electron-Induced SEUs and Jovian Environment Impact author Laser beams author Monitoring author Photonics author Protons author Measurement by laser beam author Single event upsets author Neutrons author cosmic ray electrons author cosmic ray protons author Jupiter author planetary satellites author radiation belts author space vehicles author high-energy electron-induced SEU author Jovian environment impact author European Space Agency author single event upset author reference ESA SEU monitor author electron beam author Very energetic Electronic facility author Space Planetary Exploration author harsh Radiation environments facility author CERN author electronuclear reactions author SEU mechanism author ESA Jupiter Icy Moons Explorer mission author radiation environment author intense high-energy electron flux author trapped radiation belts author electron spectra author proton spectra author Electrons author Monte Carlo methods author radiation effects CERN Alía, Rubén García CERN Brugger, Markus CERN Ferlet-Cavrois, Veronique ESTEC, Noordwijk Corsini, Roberto CERN Farabolini, Wilfrid CERN Mohammadzadeh, Ali ESTEC, Noordwijk Santin, Giovanni ESTEC, Noordwijk Virtanen, Ari Jyvaskyla U. 2016-2022 8 IEEE Trans. Nucl. Sci. 64 C16-09-19.6 2017 13 2313336 2016-2022 bremen20160919 ARTICLE ConferencePaper 7 p IEEE We present experimental evidence of electron-induced upsets in a reference European Space Agency (ESA) single event upset (SEU) monitor, induced by a 200-MeV electron beam at the Very energetic Electronic facility for Space Planetary Exploration in harsh Radiation environments facility at CERN. Comparison of experimental cross sections and simulated cross sections is shown and the differences are analyzed. Possible secondary contributions to the upset rate by neutrons, flash effects, and cumulative dose effects are discussed, showing that electronuclear reactions are the expected SEU mechanism. The ESA Jupiter Icy Moons Explorer mission, to be launched in 2022, presents a challenging radiation environment due to the intense high-energy electron flux in the trapped radiation belts. Insight is given to the possible contribution of electrons to the overall upset rates in the Jovian radiation environment. Relative contributions of both typical electron and proton spectra created when the environmental spectra are transported through a typical spacecraft shielding are shown and the different mission phases are discussed. SzGeCERN Nuclear Physics - Experiment 2017 2302758 SzGeCERN 20210730151625.0 BOOK Petitjean, P ed. Zharov, V ed. Glaser, G ed. Richardson, J ed. de Padirac, B ed. Archibald, G ed. 21 CERN Central Library 93:5 PET http://unesdoc.unesco.org/images/0014/001481/148187e.pdf ebook (Open Access) https://cds.cern.ch/search?ln=en&cc=Published+Articles&sc=1&p=962__b%3A2302758&action_search=Search&op1=a&m1=a&p1=&f1= Chapters related to CERN 695 p paper ebook BOOK 93:5 Sixty years of science at UNESCO 1945-2005 Paris UNESCO 2006 9231040057 print version, paperback 9789231040054 print version, paperback 9231040472 print version, hardback 9789231040474 print version, hardback oai:cds.cern.ch:2302758 cerncds:BOOK SzGeCERN Biography, Geography, History Sixty Years of Science at UNESCO 1945-2005 offers an inside perspective on the past six decades of this engagement. Written by historians and scientists from all over the world as well as by former and active staff members, the story is enriched by an historical analysis of the first 20 years of the Organization's action in science. The volume traces through six parts the role played by UNESCO in the history of international science cooperation in an ever-changing world : I. Setting the Scene, 1945-1965 II. Basic Sciences and Engineering III. Environmental Sciences IV. Science and Society V. Overviews and Analyses and VI. Looking Ahead. It also features a list of chronological milestones set along the way. Open Access UNESCO ILSSYNC ILSLINK h 201805 eng 2310159 SzGeCERN 20180327141100.0 DOI submitter 10.5194/acp-17-4053-2017 oai:inspirehep.net:1663403 cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1663403 2018-03-22T16:15:18Z 2018-03-23T10:33:17Z marcxml Inspire 1663403 eng Bernhammer, Anne-Kathrin U. Innsbruck (main) IONICON Analytik GmbH, Innsbruck submitter Technical note: Conversion of isoprene hydroxy hydroperoxides (ISOPOOHs) on metal environmental simulation chamber walls crossref Technical note: Conversion of isoprene hydroxy hydroperoxides (ISOPOOHs) on metal environmental simulation chamber walls 2017 10 p submitter Sources and sinks of isoprene oxidation products from low-NOx isoprene chemistry have been studied at the CERN CLOUD (Cosmics Leaving Outdoor Droplets) chamber with a custom-built selective reagent ion time-of-flight mass spectrometer (SRI-ToF-MS), which allows quantitative measurement of isoprene hydroxy hydroperoxides (ISOPOOHs). The measured concentrations of the main oxidation products were compared to chemical box model simulations based on the Leeds Master Chemical Mechanism (MCM) v3.3. The modeled ISOPOOH concentrations are a factor of 20 higher than the observed concentrations, and methyl vinyl ketone (MVK) and methacrolein (MACR) concentrations are up to a factor of 2 lower compared to observations, despite the artifact-free detection method. Addition of catalytic conversion of 1,2-ISOPOOH and 4,3-ISOPOOH to methyl vinyl ketone (MVK) and methacrolein (MACR) on the stainless-steel surface of the chamber to the chemical mechanism resolves the discrepancy between model predictions and observation. This suggests that isoprene chemistry in a metal chamber under low-NOx conditions cannot be described by a pure gas phase model alone. Biases in the measurement of ISOPOOH, MVK, and MACR can be caused not only intra-instrumentally but also by the general experimental setup. The work described here extends the role of heterogeneous reactions affecting gas phase composition and properties from instrumental surfaces, described previously, to general experimental setups. The role of such conversion reactions on real environmental surfaces is yet to be explored. CC BY https://creativecommons.org/licenses/by/3.0/ SzGeCERN Nuclear Physics - Experiment CERN CLOUD Breitenlechner, Martin U. Innsbruck (main) Keutsch, Frank N Harvard U. (main) Hansel, Armin armin.hansel@uibk.ac.at U. Innsbruck (main) IONICON Analytik GmbH, Innsbruck 4053-4062 6 Atmos. Chem. Phys. 17 2017 https://www.atmos-chem-phys.net/17/4053/2017/acp-17-4053-2017.pdf 13 ARTICLE Almeida, J., Schobesberger, S., Kürten, A., Ortega, I. K., Kupiainen-Määttä, O., Praplan, A. P., Adamov, A., Amorim, A., Bianchi, F., Breitenlechner, M., David, A., Dommen, J., Donahue, N. M., Downard, A., Dunne, E., Duplissy, J., Ehrhart, S., Flagan, R. C., Franchin, A., Guida, R., Hakala, J., Hansel, A., Heinritzi, M., Henschel, H., Jokinen, T., Junninen, H., Kajos, M., Kangasluoma, J., Keskinen, H., Kupc, A., Kurtén, T., Kvashin, A. N., Laaksonen, A., Lehtipalo, K., Leiminger, M., Leppä, J., Loukonen, V., Makhmutov, V., Mathot, S., McGrath, M. J., Nieminen, T., Olenius, T., Onnela, A., Petäjä, T., Riccobono, F., Riipinen, I., Rissanen, M., Rondo, L., Ruuskanen, T., Santos, F Sarnela, N., Schallhart, S., Schnitzhofer, R., Seinfeld, J. H., Simon, M., Sipilä, M., Stozhkov, Y., Stratmann, F., Tomé, A., Tröstl, J., Tsagkogeorgas, G., Vaattovaara, P., Viisanen, Y., Virtanen, A., Vrtala, A., Wagner, P. E., Weingartner, E., Wex, H., Williamson, C., Wimmer, D. D Ye, P., Yli-Juuti, T., Carslaw, K 1256998 doi:10.1038/nature12663 Kulmala, M., Curtius, J., Baltensperger, U., Worsnop, D. R., Vehkamäki, H., and Kirkby, J. S : Molecular understanding of sulphuric acid-amine particle nucleation in the atmosphere Nature,502,359-363 2013 Archibald, A. T., Cooke, M. C., Utembe, S. R., Shallcross, D doi:10.5194/acp-108097-2010 Derwent, R. G., and Jenkin, M. E. E : Impacts of mechanistic changes on HOx formation and recycling in the oxidation of isoprene Atmos.Chem.Phys.,10,8097-8118 2010 Bates, K. H., Crounse, J. D. St. Clair, J. M., Bennett, N. B., Nguyen, T. B., Seinfeld, J. H., Stoltz, B. M., and Wennberg, P. O : Gas Epoxydiols, J. Phase Production and Loss of Isoprene Phys doi:10.1021/jp4107958 CHEM-PH,A118,1237-1246 2014 Breitenlechner, M. and Hansel, A. : Development of a novel Ion Int. J. Source for PTR-TOF-MS using an Ion Funnel Mass Spectrometry, submitted 2017 Crounse, J. D., Paulot, F., Kjaergaard, H. G., and Wennberg, P. O. : Peroxy radical isomerization in the oxidation of isoprene, Phys doi:10.1039/c1cp21330j Chem Chem.Phys.,13,13607-13613 2011 Crounse, J. D., Nielsen, L. B., Jørgensen, S., Kjaergaard, H doi:10.1021/jz4019207 the Atmosphere, J. G., and Wennberg, P. O.: Autoxidation of Organic Compounds in Phys. Chem. Lett., 4, 3513-3520 2013 Duplissy, J., Merikanto, J., Franchin, A., Tsagkogeorgas, G., Kangasluoma, J., Wimmer, D., Vuollekoski, H., Schobesberger, S., Lehtipalo, K., Flagan, R. C., Brus, D., Donahue, N. M., Vehkamäki, H., Almeida, J., Amorim, A., Barmet, P., Bianchi, F., Breitenlechner, M., Dunne, E. M., Guida, R., Henschel, H., Junninen, H., Kirkby, J., Kürten, A., Kupc, A., Määttänen, A., Makhmutov, V., Mathot, S., Nieminen, T., Onnela, A., Praplan, A. P., Riccobono, F., Rondo, L., Steiner, G., Tome, A., Walther, H., Baltensperger, U., Carslaw, K. S., Dommen, J., Hansel, A., Petäjä, T., Sipilä, M., Stratmann, F., Vrtala, A., Wagner, P. E., Worsnop, D. R., Curtius, J., and Kulmala, M. : Effect of ions on sulfuric acid-water binary particle formation: 2 doi:10.1002/2015JD023539 Experimental data and comparison with QC-normalized classical nucleation theory J.Geophys.Res.Atmos.,121,1752-1775 2016 Gaston, C. J., Riedel, T. P., Zhang, Z., Gold, A., Surratt, J. D. and doi:10.1021/es5034266 Thornton, J. A. : Reactive Uptake of an Isoprene-Derived Epoxydiol to Submicron Aerosol Particles Environ.Sci.Tech.,48,11178-11186 2014 doi:10.1016/j.jasms.2010.02.006 Graus, M., Müller, M., and Hansel, A. : High resolution PTRTOF: Quantification and formula confirmation of VOC in real time, J. Am Soc. Mass. Spectrom., 21, 1037-1044 2010 Guenther, A., Karl, T., Harley, P., Wiedinmyer, C., Palmer, P. I., and Geron, C. : Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from doi:10.5194/acp-63181-2006 Nature) Atmos.Chem.Phys.,6,3181-3210 2006 doi:10.1016/S1352-2310(96)00105-7 Jenkin, M. E., Saunders, S. M., and Pilling, M. J. : The tropospheric degradation of volatile organic compounds: A protocol for mechanism development, Atmos. Environ., 31, 81-104 1997 doi:10.5194/acp-15-11433-2015 Jenkin, M. E., Young, J. C., and Rickard, A. R. : The MCM v3.3.1 degradation scheme for isoprene Atmos.Chem.Phys.,15,11433-11459 2015 Jud, W., Fischer, L., Canaval, E., Wohlfahrt, G., Tissier, A. and Hansel, A. : Plant surface reactions: an opportunistic ozone defence mechanism impacting atmospheric chemistry, Atmos doi:10.5194/acp-16-277-2016 Chem.Phys.,16,277-292 2016 doi:10.5194/acp12-11877-2012 Karl, T., Hansel, A., Cappellin, L., Kaser, L., Herdlinger-Blatt, I., and Jud, W. : Selective measurements of isoprene and 2methyl-3-buten-2-ol based on NO+ ionization mass spectrometry Atmos.Chem.Phys.,12,11877-11884 2012 925516 doi:10.1038/nature10343 Kirkby, J., Curtius, J., Almeida, J., Dunne, E., Duplissy, J., Ehrhart, S., Franchin, A., Gagné, S., Ickes, L., Kürten, A., Kupc, A., Metzger, A., Riccobono, F., Rondo, L., Schobesberger, S., Tsagkogeorgas, G., Wimmer, D., Amorim, A., Bianchi, F., Breitenlechner, M., David, A., Dommen, J., Downard, A., Ehn, M., Flagan, R. C., Haider, S., Hansel, A., Hauser, D., Jud, W., Junninen, H., Kreissl, F., Kvashin, A., Laaksonen, A., Lehtipalo, K., Lima, J., Lovejoy, E. R., Makhmutov, V., Mathot, S., Mikkilä, J., Minginette, P., Mogo, S., Nieminen, T., Onnela, A., Pereira, P., Petäjä, T., Schnitzhofer, R., Seinfeld, J. H., Sipilä, M., Stozhkov, Y., Stratmann, F., Tomé, A., Vanhanen, J., Viisanen, Y., Vrtala, A., Wagner, P. E., Walther, H., Weingartner, E., Wex, H., Winkler, P. M., Carslaw, K. S., Worsnop, D. R., Baltensperger, U., and Kulmala, M. : Role of sulphuric acid, ammonia and galactic cosmic rays in atmospheric aerosol nucleation Nature,476,429-433 2011 Krechmer, J. E., Coggon, M. M., Massoli, P., Nguyen, T. B., Crounse, J. D. Hu, W., Day, D. A., Tyndall, G. S., Henze, D Rivera-Rios, J. C., Nowak, J. B., Kimmel, J. R., Mauldin, R. L., Stark, H., Jayne, J. T., Sipilä, M., Junninen, H. K St Clair, J. M., Zhang, X., Feiner, P. A., Zhang, L., Miller, D Brune, W. H., Keutsch, F. N., Wennberg, P. O., Seinfeld, J. H., Worsnop, D. R., Jimenez, J. L., and Canagaratna, M O R.: Formation of Low Volatility Organic Compounds and Secondary Organic Aerosol from Isoprene Hydroxyhydroperoxide doi:10.1021/acs.est.5b02031 Low-NO Oxidation Environ.Sci.Tech.,49,10330-10339 2015 Liu, Y. J., Herdlinger-Blatt, I., McKinney, K. A., and Martin, S. T. : doi:10.5194/acp-13-5715-2013 Production of methyl vinyl ketone and methacrolein via the hydroperoxyl pathway of isoprene oxidation Atmos.Chem.Phys.,13,5715-5730 2013 Malkin, T. L., Goddard, A., Heard, D. E., and Seakins, P. W. : doi:10.5194/acp-10-1441-2010 Measurements of OH and HO2 yields from the gas phase ozonolysis of isoprene Atmos.Chem.Phys.,10,1441-1459 2010 Mentler, B., et al. : Measuring Isoprene hydroxy hydroperoxides and Isoprene epoxydiols using a novel Funnel SRI-TOF-MS, in preparation 2017 Müller, M., Mikoviny, T., Jud, W., D’Anna, B., and Wisthaler, A. : A new software tool for the analysis of high resolution doi:10.1016/j.chemolab.2013.06.011 PTR-TOF mass spectra, Chemometr. Intell. Lab., 127, 158-165 2013 doi:10.1104/pp.15.01045 Muramoto, S., Matsubara, Y., Mwenda, C. M., Koeduka, T., Sakami, T., Tani, A., and Matsui, K. : Glutathionylation and Reduction of Methacrolein in Tomato Plants Account for Its Absorption from the Vapor Phase Plant Physiol.,169,1744-1754 2015 doi:10.5194/acp-14-3497-2014 Nguyen, T. B., Coggon, M. M., Bates, K. H., Zhang, X., Schwantes, R. H., Schilling, K. A., Loza, C. L., Flagan, R. C., Wennberg, P. O., and Seinfeld, J. H. : Organic aerosol formation from the reactive uptake of isoprene epoxydiols (IEPOX) onto nonacidified inorganic seeds a Atmos.Chem.Phys.,14,3497-3510 2014 Nguyen, T. B., Crounse, J. D., Schwantes, R. H., Teng, A. P., Bates, K. H., Zhang, X. St. Clair, J. M., Brune, W. H., Tyndall, G. S., Keutsch, F. N., Seinfeld, J. H., and Wennberg, P. O : Overview of the Focused Isoprene eXperiment at the California Institute of Technology (FIXCIT): mechanistic chamber studies on the oxidation of biogenic compounds Atmos.Chem.Phys.,14,13531 doi:10.5194/acp-14-13531-2014 13549 b 2014 Paulot, F., Crounse, J. D., Kjaergaard, H. G., Kurten, A. St. Clair, J. M., Seinfeld, J. H., and Wennberg, P. O : Unexpected Epoxide doi:10.1126/science.1172910 Formation in the Gas-Phase Photooxidation of Isoprene Science,325,730-733 2009 Rivera-Rios, J. C., Nguyen, T. B., Crounse, J. D., Jud, W. St. Clair, J. M., Mikoviny, T., Gilman, J. B., Lerner, B. M., Kaiser, J. B., Gouw, J de, Wisthaler, A., Hansel, A., Wennberg, P. O., Seinfeld, J. H., and Keutsch, F. N : Conversion of hydroperoxides to carbonyls in field and laboratory instrumentation: Observational bias in diagnosing pristine versus anthropogenically controlled atmospheric chemistry Geophys.Res.Lett.,41,8645 doi:10.1002/2014GL061919 8651 2014 Saunders, S. M., Jenkin, M. E., Derwent, R. G., and Pilling, M doi:10.5194/acp-3-161-2003 Part A J.: Protocol for the development of the Master Chemical Mechanism, MCM v3 : tropospheric degradation of nonaromatic volatile organic compounds Atmos.Chem.Phys.,3,161-180 2003 doi:10.5194/amt-7-2159-2014 Schnitzhofer, R., Metzger, A., Breitenlechner, M., Jud, W., Heinritzi, M., De Menezes, L.-P., Duplissy, J., Guida, R., Haider, S., Kirkby, J., Mathot, S., Minginette, P., Onnela, A., Walther, H., Wasem, A., Hansel, A. and the CLOUD Team: Characterisation of organic contaminants in the CLOUD chamber at CERN Atmos.Meas.Tech.,7,2159-2168 2014 Španˇel, P. Ji, Y., and Smith, D.: SIFT studies of the reactions of doi:10.1016/S01681176(97)00166-3 Int. J. H3O+, NO+ and O2+ with a series of aldehydes and ketones Mass Spectrom., 165-166, 25-37 1997 Clair, J. M., Rivera-Rios, J. C., Crounse, J. D., Knap, H. C., Bates, K. H., Teng, A. P., Jørgensen, S., Kjaergaard, H. G., Keutsch, F. N., and Wennberg, P. O. St : Kinetics and Products of the doi:10.1021/acs.jpca.5b06532 Reaction of the First-Generation Isoprene Hydroxy Hydroperoxide (ISOPOOH) with OH J.Phys.Chem.,A120,1441-1451 2016 doi:10.1029/2001JD000959 Stroud, C. A. : Nighttime isoprene trends at an urban forested site during the 1999 Southern Oxidant Study J.Geophys.Res.Space Phys.,A107,4291 2002 doi:10.1029/2003JD004424 Warneke, C. : Comparison of daytime and nighttime oxidation of biogenic and anthropogenic VOCs along the New England coast in summer during New England Air Quality Study 2004 J.Geophys.Res.Space Phys.,A109,D10309 2002 doi:10.5194/acp-11-77-2011 Wolfe, G. M. and Thornton, J. A. : The Chemistry of AtmosphereForest Exchange (CAFE) Model - Part 1: Model description and characterization Atmos.Chem.Phys.,11,77-101 2011 Wolfe, G. M., Crounse, J. D., Parrish, J. D. St. Clair, J. M., Beaver, M. R., Paulot, F., Yoon, T. P., Wennberg, P. O., and Keutsch, F. N : Photolysis, OH reactivity and ozone reactivity of a proxy for isoprene-derived hydroperoxyenals (HPALDs), Phys. Chem doi:10.1039/c2cp40388a Chem.Phys.,14,7276-7286 2012 0-0-1-0-0-1-1 2018-03-22 13:18:51 Invenio/1.1.2.1260-aa76f refextract/1.5.44 2310154 SzGeCERN 20180327142243.0 DOI submitter 10.5194/acp-17-15181-2017 oai:inspirehep.net:1663393 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1663393 2018-03-22T16:15:17Z 2018-03-23T10:33:17Z marcxml Inspire 1663393 eng Wagner, Robert submitter The role of ions in new particle formation in the CLOUD chamber crossref The role of ions in new particle formation in the CLOUD chamber 2017 17 p submitter The formation of secondary particles in the atmosphere accounts for more than half of global cloud condensation nuclei. Experiments at the CERN CLOUD (Cosmics Leaving OUtdoor Droplets) chamber have underlined the importance of ions for new particle formation, but quantifying their effect in the atmosphere remains challenging. By using a novel instrument setup consisting of two nanoparticle counters, one of them equipped with an ion filter, we were able to further investigate the ion-related mechanisms of new particle formation. In autumn 2015, we carried out experiments at CLOUD on four systems of different chemical compositions involving monoterpenes, sulfuric acid, nitrogen oxides, and ammonia. We measured the influence of ions on the nucleation rates under precisely controlled and atmospherically relevant conditions. Our results indicate that ions enhance the nucleation process when the charge is necessary to stabilize newly formed clusters, i.e., in conditions in which neutral clusters are unstable. For charged clusters that were formed by ion-induced nucleation, we were able to measure, for the first time, their progressive neutralization due to recombination with oppositely charged ions. A large fraction of the clusters carried a charge at 1.5 nm diameter. However, depending on particle growth rates and ion concentrations, charged clusters were largely neutralized by ion–ion recombination before they grew to 2.5 nm. At this size, more than 90 % of particles were neutral. In other words, particles may originate from ion-induced nucleation, although they are neutral upon detection at diameters larger than 2.5 nm. Observations at Hyytiälä, Finland, showed lower ion concentrations and a lower contribution of ion-induced nucleation than measured at CLOUD under similar conditions. Although this can be partly explained by the observation that ion-induced fractions decrease towards lower ion concentrations, further investigations are needed to resolve the origin of the discrepancy. CC BY https://creativecommons.org/licenses/by/4.0/ SzGeCERN Nuclear Physics - Experiment CERN CLOUD Yan, Chao Lehtipalo, Katrianne Paul Scherrer Institute, Laboratory of Atmospheric Chemistry, Villigen, Switzerland Duplissy, Jonathan Nieminen, Tuomo Kangasluoma, Juha Ahonen, Lauri R Dada, Lubna Kontkanen, Jenni Department of Environmental Science and Analytical Chemistry (ACES) & Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden Manninen, Hanna E CERN CERN, Geneva, Switzerland Dias, Antonio CERN CENTRA - SIM, University of Lisbon and University of Beira Interior, Lisbon, Portugal Amorim, Antonio Faculty of Science and Technology, New University of Lisbon, Lisbon, Portugal Bauer, Paulus S Bergen, Anton Bernhammer, Anne-Kathrin Bianchi, Federico Brilke, Sophia Goethe University Frankfurt, Institute for Atmospheric and Environmental Sciences, Frankfurt am Main, Germany Mazon, Stephany Buenrostro Chen, Xuemeng Draper, Danielle C Fischer, Lukas Frege, Carla Fuchs, Claudia Garmash, Olga Gordon, Hamish CERN University of Leeds, School of Earth and Environment, Leeds, UK Hakala, Jani Heikkinen, Liine Heinritzi, Martin Hofbauer, Victoria Hoyle, Christopher R Kirkby, Jasper CERN Goethe University Frankfurt, Institute for Atmospheric and Environmental Sciences, Frankfurt am Main, Germany Kürten, Andreas Kvashnin, Alexander N Laurila, Tiia Lawler, Michael J Mai, Huajun Makhmutov, Vladimir Moscow Institute of Physics and Technology (State University), Moscow, Russia Mauldin, Roy L , III Department of Atmospheric and Oceanic Sciences, Boulder, Colorado Molteni, Ugo Nichman, Leonid Aerodyne Research Inc., Billerica, MA, USA Nie, Wei Joint International Research Laboratory of Atmospheric and Earth System Sciences, Nanjing University, Nanjing, China Ojdanic, Andrea Onnela, Antti CERN Piel, Felix IONICON Analytik GmbH, Innsbruck, Austria Quéléver, Lauriane L J Rissanen, Matti P Sarnela, Nina Schallhart, Simon Sengupta, Kamalika Simon, Mario Stolzenburg, Dominik Stozhkov, Yuri Tröstl, Jasmin Viisanen, Yrjö Vogel, Alexander L CERN CERN, Geneva, Switzerland Wagner, Andrea C Xiao, Mao Ye, Penglin Aerodyne Research Inc., Billerica, MA, USA Baltensperger, Urs Curtius, Joachim Donahue, Neil M Flagan, Richard C Gallagher, Martin Hansel, Armin IONICON Analytik GmbH, Innsbruck, Austria Smith, James N Department of Chemistry, University of California, Irvine, CA, USA Tomé, António Winkler, Paul M Worsnop, Douglas Helsinki Institute of Physics, University of Helsinki, P.O. Box 64, Helsinki, Finland TOFWERK AG, Uttigenstrasse 22, Thun, Switzerland Ehn, Mikael Sipilä, Mikko Kerminen, Veli-Matti Petäjä, Tuukka Kulmala, Markku 15181-15197 24 Atmos. Chem. Phys. 17 2017 https://www.atmos-chem-phys.net/17/15181/2017/acp-17-15181-2017.pdf 1392043 4647667 http://cds.cern.ch/record/2310154/files/fulltext.pdf Fulltext 13 ARTICLE 0-0-2-1-0-1-0 2018-03-21 18:06:15 Invenio/1.1.2.1260-aa76f refextract/1.5.44 content.pdf;1 doi:10.1126/science.245.4923.1227 Albrecht, B. A. : Aerosols, cloud microphysics, and fractional cloudiness Science,245,1227-1230 1989 Almeida, J., Schobesberger, S., Kurten, A., Ortega, I. K., Kupiainen-Maatta, O., Praplan, A. P., Adamov, A., Amorim, A., Bianchi, F., Breitenlechner, M., David, A., Dommen, J., Donahue, N. M., Downard, A., Dunne, E., Duplissy, J., Ehrhart, S., Flagan, R. C., Franchin, A., Guida, R., Hakala, J. www.atmos-chem-phys.net/17/15181// Atmos.Chem.Phys.,17,15181-15197 2017 Hansel, A., Heinritzi, M., Henschel, H., Jokinen, T., Junninen, H., Kajos, M., Kangasluoma, J., Keskinen, H., Kupc, A., Kurten, T., Kvashin, A. N., Laaksonen, A., Lehtipalo, K., Leiminger, M., Leppa, J., Loukonen, V., Makhmutov, V., Mathot, S., McGrath, M. J., Nieminen, T., Olenius, T., Onnela, A., Petaja, T., Riccobono, F., Riipinen, I., Rissanen, M., Rondo, L., Ruuskanen, T., Santos, F. D., Sarnela, N., Schallhart, S., Schnitzhofer, R., Seinfeld, J. H., Simon, M., Sipila, M., Stozhkov, Y., Stratmann, F., Tome, A., Trostl, J., Tsagkogeorgas, G., Vaattovaara, P., Viisanen, Y., Virtanen, A., Vrtala, A., Wagner, P. E., Weingartner, E., Wex, H., Williamson, C., Wimmer, D. Ye, P., Yli-Juuti, T., Carslaw, K. S., Kulmala, M., Curtius, J., Baltensperger, U., Worsnop, D. R., Vehkamaki, H and 1256998 doi:10.1038/nature12663 Kirkby, J. : Molecular understanding of sulphuric acid-amine particle nucleation in the atmosphere Nature,502,359-363 2013 Asmi, E., Frey, A., Virkkula, A., Ehn, M., Manninen, H. E., Timonen, H., Tolonen-Kivimäki, O., Aurela, M., Hillamo, R., and Kulmala, M. : Hygroscopicity and chemical composition of doi:10.5194/acp-10-4253-2010 Antarctic sub-micrometre aerosol particles and observations of new particle formation Atmos.Chem.Phys.,10,4253-4271 2010 doi:10.1126/science.aad5456 Bianchi, F., Tröstl, J., Junninen, H., Frege, C., Henne, S., Hoyle, C. R., Molteni, U., Herrmann, E., Adamov, A., Bukowiecki, N., Chen, X., Duplissy, J., Gysel, M., Hutterli, M., Kangasluoma, J., Kontkanen, J., Kürten, A., Manninen, H. E., Münch, S., Peräkylä, O., Petäjä, T., Rondo, L., Williamson, C., Weingartner, E., Curtius, J., Worsnop, D. R., Kulmala, M., Dommen, J., and Baltensperger, U. : New particle formation in the free troposphere: a question of chemistry and timing Science,352,1109-1112 2016 Boulon, J., Sellegri, K., Venzac, H., Picard, D., Weingartner, E., Wehrle, G. Collaud Coen, M., Bütikofer, R., Flückiger, E., Baltensperger, U., and Laj, P : New particle formation and ultrafine charged aerosol climatology at a high altitude site in the Alps (Jungfraujoch, 3580 m a.s.l., Switzerland), Atmos doi:10.5194/acp-109333-2010 Chem.Phys.,10,9333-9349 2010 doi:10.1021/acs.analchem.6b05110 Breitenlechner, M., Fischer, L., Hainer, M., Heinritzi, M., Curtius, J., and Hansel, A. : PTR3: an instrument for studying the lifecycle of reactive organic carbon in the atmosphere Anal.Chem.,89,5824-5831 2017 Chen, X., Kerminen, V.-M., Paatero, J., Paasonen, P., Manninen, H. E., Nieminen, T., Petäjä, T., and Kulmala, M. : How do air ions reflect variations in ionising radiation in the lower atmosphere in a boreal forest? Atmos.Chem.Phys.,16,14297 doi:10.5194/acp-16-14297-2016 14315 2016 doi:10.1016/00218502(81)90036-7 Crump, J. G. and Seinfeld, J. H. : Turbulent deposition and gravitational sedimentation of an aerosol in a vessel of arbitrary shape J.Aerosol Sci.,12,405-415 1981 doi:10.1007/s11214-006-9054-5 Curtius, J., Lovejoy, E. R., and Froyd, K. D. : Atmospheric ioninduced aerosol nucleation Space Sci.Rev.,125,159-167 2006 Duplissy, J., Merikanto, J., Franchin, A., Tsagkogeorgas, G., Kangasluoma, J., Wimmer, D., Vuollekoski, H., Schobesberger, S., Lehtipalo, K., Flagan, R. C., Brus, D., Donahue, N. M., Vehkamaki, H., Almeida, J., Amorim, A., Barmet, P., Bianchi, F., Breitenlechner, M., Dunne, E. M., Guida, R., Henschel, H., Junninen, H., Kirkby, J., Kurten, A., Kupc, A., Maattanen, A., Makhmutov, V., Mathot, S., Nieminen, T., Onnela, A., Praplan, A. P., Riccobono, F., Rondo, L., Steiner, G., Tome, A., Walther, H., Baltensperger, U., Carslaw, K. S., Dommen, J., Hansel, A., Petaja, T., Sipila, M., Stratmann, F., Vrtala, A., Wagner, P. E., Worsnop, D. R., Curtius, J., and Kulmala, M. : Effect of ions on sulfuric acid-water binary particle formation: 2 doi:10.1002/2015jd023539 Experimental data and comparison with QC-normalized classical nucleation theory J.Geophys.Res.Atmos.,121,1752-1775 2016 doi:10.1080/02786826.2010.547890 Ehn, M., Junninen, H., Schobesberger, S., Manninen, H. E., Franchin, A., Sipila, M., Petaja, T., Kerminen, V. M., Tammet, H., Mirme, A., Mirme, S., Horrak, U., Kulmala, M., and Worsnop, D. R. : An instrumental comparison of mobility and mass measurements of atmospheric small ions, Aerosol Sci Technol.,45,522-532 2011 doi:10.1038/nature13032 Ehn, M., Thornton, J. A., Kleist, E., Sipila, M., Junninen, H., Pullinen, I. M., Rubach, F., Tillmann, R., Lee, B., Lopez-Hilfiker, F., Andres, S., Acir, I.-H., Rissanen, M., Jokinen, T., Schobesberger, S., Kangasluoma, J., Kontkanen, J., Nieminen, T., Kurten, T., Nielsen, L. B., Jorgensen, S., Kjaergaard, H. G., Canagaratna, M., Maso, M. D., Berndt, T., Petaja, T., Wahner, A., Kerminen, V.-M., Kulmala, M., Worsnop, D. R., Wildt, J., and Mentel, T. F : A large source of low-volatility secondary organic aerosol Springer Nature,506,476-479 2014 doi:10.1029/JD094iD02p02183 Eisele, F. L. : Natural and anthropogenic negative ions in the troposphere J.Geophys.Res.Atmos.,94,2183-2196 1989 Eisele, F. L. and Tanner, D. J. : Measurement of the gas phase concentration of H2SO4 and methane sulfonic acid and estimates of doi:10.1029/93JD00031 H2SO4 production and loss in the atmosphere J.Geophys.Res.Atmos.,98,9001-9010 1993 Franchin, A., Ehrhart, S., Leppä, J., Nieminen, T., Gagné, S., Schobesberger, S., Wimmer, D., Duplissy, J., Riccobono, F., Dunne, E. M., Rondo, L., Downard, A., Bianchi, F., Kupc, A., Tsagkogeorgas, G., Lehtipalo, K., Manninen, H. E., Almeida, J., Amorim, A., Wagner, P. E., Hansel, A., Kirkby, J., Kürten, A., Donahue, N. M., Makhmutov, V., Mathot, S., Metzger, A., Petäjä, T., Schnitzhofer, R., Sipilä, M., Stozhkov, Y., Tomé, A., Kerminen, V.-M., Carslaw, K., Curtius, J., Baltensperger, U., and Kulmala, M. : Experimental investigation of ion-ion recombination under atmospheric conditions Atmos.Chem.Phys.,15,7203 doi:10.5194/acp-15-7203-2015 7216 2015 Frege, C., Ortega, I. K., Rissanen, M. P., Praplan, A. P., Steiner, G., Heinritzi, M., Ahonen, L., Amorim, A., Bernhammer, A. K., Bianchi, F., Brilke, S., Breitenlechner, M., Dada, L., Dias, A., Duplissy, J., Ehrhart, S., El-Haddad, I., Fischer, L., Fuchs, C., Garmash, O., Gonin, M., Hansel, A., Hoyle, C. R., Jokinen, T., Junninen, H., Kirkby, J., Kürten, A., Lehtipalo, K., Leiminger, M., Mauldin, R. L., Molteni, U., Nichman, L., Petäjä, T., Sarnela, N., Schobesberger, S., Simon, M., Sipilä, M., Stolzenburg, D., Tomé, A., Vogel, A. L., Wagner, A., Wagner, R., Xiao, M., Yan, C. Ye, P., Curtius, J., Donahue, N. M., Flagan, R. C., Kulmala, M., Worsnop, D. R., Winkler, P. M., Dommen, J., and Baltensperger, U : Influence of temperature doi:10.5194/acp-2017-426 www.atmos-chem-phys.net/17/15181// on the molecular composition of ions and charged clusters during pure biogenic nucleation, Atmos. Chem. Phys. Discuss in press Atmos.Chem.Phys.,17,15181-15197 2017 doi:10.1111/j.1600-0889.2008.00347.x Gagne, S., Laakso, L., Petaja, T., Kerminen, V. M., and Kulmala, M. : Analysis of one year of Ion-DMPS data from the SMEAR II station, Finland, Tellus B 60, 318-329 2008 doi:10.1021/jp993622j Hanson, D. R. and Eisele, F. : Diffusion of H2SO4 in humidified nitrogen: hydrated H2SO4, J Phys. Chem.-US, 104, 1715-1719 2000 Hari, P. and Kulmala, M. : Station for measuring ecosystematmosphere relations (SMEAR II), Boreal Environ. Res., 10, 315-322 2005 Group I IPCC: Climate Change: The Physical Science Basis. Contribution of Working to the Fifth Assessment Report of the 2013 Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, UK and New York, NY, USA, 1535 pp 2013 doi:10.5194/acp-12-4117-2012 Jokinen, T., Sipilä, M., Junninen, H., Ehn, M., Lönn, G., Hakala, J., Petäjä, T. Mauldin III, R. L., Kulmala, M., and Worsnop, D. R : Atmospheric sulphuric acid and neutral cluster measurements using CI-APi-TOF Atmos.Chem.Phys.,12,4117-4125 2012 Junninen, H., Ehn, M., Petäjä, T., Luosujärvi, L., Kotiaho, T., Kostiainen, R., Rohner, U., Gonin, M., Fuhrer, K., Kulmala, M. and Worsnop, D. R. : A high-resolution mass spectrometer to measure atmospheric ion composition Atmos.Meas.Tech.,3,1039 doi:10.5194/amt-3-1039-2010 1053 2010 Kangasluoma, J., Kuang, C., Wimmer, D., Rissanen, M. P., Lehtipalo, K., Ehn, M., Worsnop, D. R., Wang, J., Kulmala, M. and doi:10.5194/amt-7-689-2014 Petäjä, T. : Sub-3 nm particle size and composition dependent response of a nano-CPC battery Atmos.Meas.Tech.,7,689-700 2014 doi:10.1016/j.jaerosci.2015.05.007 Kangasluoma, J., Attoui, M., Junninen, H., Lehtipalo, K., Samodurov, A., Korhonen, F., Sarnela, N., SchmidtOtt, A., Worsnop, D., Kulmala, M., and Petäjä, T. : Sizing of neutral sub 3 nm tungsten oxide clusters using Airmodus Particle Size Magnifier J.Aerosol Sci.,87,53-62 2015 Kangasluoma, J., Franchin, A., Duplissy, J., Ahonen, L., Korhonen, F., Attoui, M., Mikkilä, J., Lehtipalo, K., Vanhanen, J., Kulmala, M., and Petäjä, T. : Operation of the Airmodus A11 nano Condensation Nucleus Counter at various inlet pressures and various operation temperatures, and design of a new inlet system, Atmos doi:10.5194/amt-9-29772016 a Meas.Tech.,9,2977-2988 2016 Kangasluoma, J., Samodurov, A., Attoui, M., Franchin, A., Junninen, H., Korhonen, F., Kurtén, T., Vehkamäki, H., Sipilä, M., Lehtipalo, K., Worsnop, D. R., Petäjä, T., and Kulmala, M. : doi:10.1021/acs.jpcc.6b01779 Heterogeneous nucleation onto ions and neutralized ions: insights into sign-preference, J. Phys. Chem.-US, 120, 7444-7450 b 2016 Kazil, J., Stier, P., Zhang, K., Quaas, J., Kinne, S., O’Donnell, D., Rast, S., Esch, M., Ferrachat, S., Lohmann, U., and Feichter, J. : Aerosol nucleation and its role for clouds and Earth’s radiative forcing in the aerosol-climate model ECHAM5-HAM, Atmos doi:10.5194/acp-1010733-2010 Chem.Phys.,10,10733-10752 2010 doi:10.1029/2001jd000322 Kerminen, V. M., Pirjola, L., and Kulmala, M. : How significantly does coagulational scavenging limit atmospheric particle production? J.Geophys.Res.Atmos.,106,24119-24125 2001 doi:10.1029/2007jd008649 Kerminen, V. M., Anttila, T., Petaja, T., Laakso, L., Gagne, S., Lehtinen, K. E. J., and Kulmala, M. : Charging state of the atmospheric nucleation mode: implications for separating neutral and ion-induced nucleation J.Geophys.Res.Atmos.,112,12 2007 925516 doi:10.1038/nature10343 Kirkby, J., Curtius, J., Almeida, J., Dunne, E., Duplissy, J., Ehrhart, S., Franchin, A., Gagne, S., Ickes, L., Kürten, A., Kupc, A., Metzger, A., Riccobono, F., Rondo, L., Schobesberger, S., Tsagkogeorgas, G., Wimmer, D., Amorim, A., Bianchi, F., Breitenlechner, M., David, A., Dommen, J., Downard, A., Ehn, M., Flagan, R. C., Haider, S., Hansel, A., Hauser, D., Jud, W., Junninen, H., Kreissl, F., Kvashin, A., Laaksonen, A., Lehtipalo, K., Lima, J., Lovejoy, E. R., Makhmutov, V., Mathot, S., Mikkilä, J., Minginette, P., Mogo, S., Nieminen, T., Onnela, A., Pereira, P., Petäjä, T., Schnitzhofer, R., Seinfeld, J. H., Sipilä, M., Stozhkov, Y., Stratmann, F., Tome, A., Vanhanen, J., Viisanen, Y., Vrtala, A., Wagner, P. E., Walther, H., Weingartner, E., Wex, H., Winkler, P. M., Carslaw, K. S., Worsnop, D. R., Baltensperger, U., and Kulmala, M. : Role of sulphuric acid, ammonia and galactic cosmic rays in atmospheric aerosol nucleation Nature,476,429-433 2011 1465756 Kirkby, J., Duplissy, J., Sengupta, K., Frege, C., Gordon, H., Williamson, C., Heinritzi, M., Simon, M., Yan, C., Almeida, J., Tröstl, J., Nieminen, T., Ortega, I. K., Wagner, R., Adamov, A., Amorim, A., Bernhammer, A. K., Bianchi, F., Breitenlechner, M., Brilke, S., Chen, X. M., Craven, J., Dias, A., Ehrhart, S., Flagan, R. C., Franchin, A., Fuchs, C., Guida, R., Hakala, J., Hoyle, C. R., Jokinen, T., Junninen, H., Kangasluoma, J., Kim, J., Krapf, M., Kürten, A., Laaksonen, A., Lehtipalo, K., Makhmutov, V., Mathot, S., Molteni, U., Onnela, A., Peräkylä, O., Piel, F., Petäjä, T., Praplan, A. P., Pringle, K., Rap, A., Richards, N. A. D., Riipinen, I., Rissanen, M. P., Rondo, L., Sarnela, N., Schobesberger, S., Scott, C. E., Seinfeld, J. H., Sipilä, M., Steiner, G., Stozhkov, Y., Stratmann, F., Tomé, A., Virtanen, A., Vogel, A. L., Wagner, A. C., Wagner, P. E., Weingartner, E., Wimmer, D., Winkler, P. M. Ye, P. L., Zhang, X., Hansel, A., Dommen, J., Donahue, N. M., Worsnop, D. R., Baltensperger, U., Kulmala, M., Carslaw, K. S., and Curtius, J : Ioninduced nucleation of pure biogenic particles Nature,533,521 1465756 doi:10.1038/nature17953 526 2016 Kontkanen, J., Lehtinen, K. E. J., Nieminen, T., Manninen, H. E., Lehtipalo, K., Kerminen, V.-M., and Kulmala, M. : Estimating the contribution of ion-ion recombination to sub-2 nm cluster concentrations from atmospheric measurements, Atmos. Chem doi:10.5194/acp-13-113912013 Phys., 13, 11391-11401 2013 doi:10.1016/j.jaerosci.2003.10.003 Kulmala, M., Vehkamäki, H., Petäjä, T., Dal Maso, M., Lauri, A., Kerminen, V. M., Birmili, W., and McMurry, P. H. : Formation and growth rates of ultrafine atmospheric particles: a review of observations J.Aerosol Sci.,35,143-176 2004 Kulmala, M., Riipinen, I., Nieminen, T., Hulkkonen, M., Sogacheva, L., Manninen, H. E., Paasonen, P., Petäjä, T., Dal Maso, M., Aalto, P. P., Viljanen, A., Usoskin, I., Vainio, R., Mirme, S. www.atmos-chem-phys.net/17/15181// Atmos.Chem.Phys.,17,15181-15197 2017 doi:10.5194/acp-10-1885-2010 Mirme, A., Minikin, A., Petzold, A., Hõrrak, U., Plaß-Dülmer, C., Birmili, W., and Kerminen, V.-M. : Atmospheric data over a solar cycle: no connection between galactic cosmic rays and new particle formation Atmos.Chem.Phys.,10,1885-1898 2010 doi:10.1126/science.1227385 Kulmala, M., Kontkanen, J., Junninen, H., Lehtipalo, K., Manninen, H. E., Nieminen, T., Petäjä, T., Sipilä, M., Schobesberger, S., Rantala, P., Franchin, A., Jokinen, T., Järvinen, E., Äijälä, M., Kangasluoma, J., Hakala, J., Aalto, P. P., Paasonen, P., Mikkilä, J., Vanhanen, J., Aalto, J., Hakola, H., Makkonen, U., Ruuskanen, T., Mauldin, R. L., Duplissy, J., Vehkamäki, H., Bäck, J., Kortelainen, A., Riipinen, I., Kurten, T., Johnston, M. V., Smith, J. N., Ehn, M., Mentel, T. F., Lehtinen, K. E. J., Laaksonen, A., Kerminen, V. M., and Worsnop, D. R. : Direct observations of atmospheric aerosol nucleation Science,339,943-946 2013 Kulmala, M., Petaja, T., Ehn, M., Thornton, J., Sipila, M., Worsnop, D. R., and Kerminen, V. M. : Chemistry of atmospheric nucleation: on the recent advances on precursor characterization and atmospheric cluster composition in connection with atmospheric new particle formation, in: Annual Review of Physical Chemistry, vol. 65, Johnson, M. A., and Martinez, T. J. (eds.) Palo Alto, 21-37 Annual Reviews 2014 doi:10.5194/amt-4-437-2011 Kürten, A., Rondo, L., Ehrhart, S., and Curtius, J. : Performance of a corona ion source for measurement of sulfuric acid by chemical ionization mass spectrometry Atmos.Meas.Tech.,4,437-443 2011 doi:10.1073/pnas.1404853111 Kürten, A., Jokinen, T., Simon, M., Sipilä, M., Sarnela, N., Junninen, H., Adamov, A., Almeida, J., Amorim, A., Bianchi, F., Breitenlechner, M., Dommen, J., Donahue, N. M., Duplissy, J., Ehrhart, S., Flagan, R. C., Franchin, A., Hakala, J., Hansel, A., Heinritzi, M., Hutterli, M., Kangasluoma, J., Kirkby, J., Laaksonen, A., Lehtipalo, K., Leiminger, M., Makhmutov, V., Mathot, S., Onnela, A., Petäjä, T., Praplan, A. P., Riccobono, F., Rissanen, M. P., Rondo, L., Schobesberger, S., Seinfeld, J. H., Steiner, G., Tomé, A., Tröstl, J., Winkler, P. M., Williamson, C., Wimmer, D. Ye, P., Baltensperger, U., Carslaw, K. S., Kulmala, M., Worsnop, D. R., and Curtius, J : Neutral molecular cluster formation of sulfuric acid-dimethylamine observed in real time under atmospheric conditions, P Proc.Nat.Acad.Sci.,111,15019-15024 2014 doi:10.1002/2015JD023908 Kürten, A., Bianchi, F., Almeida, J., Kupiainen-Määttä, O., Dunne, E. M., Duplissy, J., Williamson, C., Barmet, P., Breitenlechner, M., Dommen, J., Donahue, N. M., Flagan, R. C., Franchin, A., Gordon, H., Hakala, J., Hansel, A., Heinritzi, M., Ickes, L., Jokinen, T., Kangasluoma, J., Kim, J., Kirkby, J., Kupc, A., Lehtipalo, K., Leiminger, M., Makhmutov, V., Onnela, A., Ortega, I. K., Petäjä, T., Praplan, A. P., Riccobono, F., Rissanen, M. P., Rondo, L., Schnitzhofer, R., Schobesberger, S., Smith, J. N., Steiner, G., Stozhkov, Y., Tomé, A., Tröstl, J., Tsagkogeorgas, G., Wagner, P. E., Wimmer, D. Ye, P., Baltensperger, U., Carslaw, K., Kulmala, M., and Curtius, J : Experimental particle formation rates spanning tropospheric sulfuric acid and ammonia abundances, ion production rates, and temperatures J.Geophys.Res.Atmos.,121,12377-12400 2016 Lehtipalo, K., Sipilä, M., Riipinen, I., Nieminen, T., and Kulmala, M. : Analysis of atmospheric neutral and charged molecular clusters in boreal forest using pulse-height CPC, Atmos. Chem doi:10.5194/acp-9-4177-2009 Phys., 9, 4177-4184 2009 Lehtipalo, K., Leppa, J., Kontkanen, J., Kangasluoma, J., Franchin, A., Wimnner, D., Schobesberger, S., Junninen, H., Petaja, T., Sipila, M., Mikkila, J., Vanhanen, J., Worsnop, D. R., and Kulmala, M. : Methods for determining particle size distribution and growth rates between 1 and 3 nm using the Particle Size Magnifier, Boreal Environ. Res., 19, 215-236 2014 doi:10.1029/2003jd004460 Lovejoy, E. R., Curtius, J., and Froyd, K. D. : Atmospheric ioninduced nucleation of sulfuric acid and water J.Geophys.Res.Atmos.,109,11 2004 Manninen, H. E., Nieminen, T., Riipinen, I., Yli-Juuti, T., Gagné, S., Asmi, E., Aalto, P. P., Petäjä, T., Kerminen, V.-M., and Kulmala, M. : Charged and total particle formation and growth rates during doi:10.5194/acp-9-4077-2009 EUCAARI 2007 campaign in Hyytiälä Atmos.Chem.Phys.,9,4077-4089 2009 Manninen, H. E., Nieminen, T., Asmi, E., Gagné, S., Häkkinen, S., Lehtipalo, K., Aalto, P., Vana, M., Mirme, A., Mirme, S., Hõrrak, U., Plass-Dülmer, C., Stange, G., Kiss, G., Hoffer, A. Tör˝o, N., Moerman, M., Henzing, B., de Leeuw, G., Brinkenberg, M., Kouvarakis, G. N., Bougiatioti, A., Mihalopoulos, N., O’Dowd, C., Ceburnis, D., Arneth, A., Svenningsson, B., Swietlicki, E., Tarozzi, L., Decesari, S., Facchini, M. C., Birmili, W., Sonntag, A., Wiedensohler, A., Boulon, J., Sellegri, K., Laj, P., Gysel, M., Bukowiecki, N., Weingartner, E., Wehrle, G., Laaksonen, A., Hamed, A., Joutsensaari, J., Petäjä, T., Kerminen, V.-M., and Kulmala, M : EUCAARI ion spectrometer measurements at doi:10.5194/acp10-7907-2010 European sites - analysis of new particle formation events 12 Atmos.Chem.Phys.,10,7907-7927 2010 Manninen, H. E., Mirme, S., Mirme, A., Petäjä, T., and Kulmala, M. : How to reliably detect molecular clusters and nucleation mode particles with Neutral cluster and Air Ion doi:10.5194/amt-9-3577-2016 Spectrometer (NAIS) Atmos.Meas.Tech.,9,3577-3605 2016 doi:10.1080/02786820050121512 McMurry, P. H. : The history of condensation nucleus counters, Aerosol Sci Technol.,33,297-322 2000 doi:10.5194/amt-6-1061-2013 Mirme, S. and Mirme, A. : The mathematical principles and design of the NAIS - a spectrometer for the measurement of cluster ion and nanometer aerosol size distributions Atmos.Meas.Tech.,6,1061-1071 2013 Nieminen, T., Asmi, A., Dal Maso, M., Aalto, P. P., Keronen, P., Petaja, T., Kulmala, M., and Kerminen, V. M. : Trends in atmospheric new-particle formation: 16 years of observations in a boreal-forest environment, Boreal Environ. Res., 19, 191-214 2014 Rose, C., Sellegri, K., Asmi, E., Hervo, M., Freney, E., Colomb, A., Junninen, H., Duplissy, J., Sipilä, M., Kontkanen, J., Lehtipalo, K., and Kulmala, M. : Major contribution of neutral clusters to new particle formation at the interface between the boundary layer and the free troposphere Atmos.Chem.Phys.,15,3413 doi:10.5194/acp-15-3413-2015 3428 2015 Seinfeld, J. H. and Pandis, S. : Atmosperic Chemistry Physics: From Air Pollution to Climate Change, 3rd Edition, John & Sons, Inc Wiley 2016 www.atmos-chem-phys.net/17/15181// Atmos.Chem.Phys.,17,15181-15197 2017 doi:10.5194/acp-6-3377-2006 Tammet, H., Hõrrak, U., Laakso, L., and Kulmala, M. : Factors of air ion balance in a coniferous forest according to measurements in Hyytiälä, Finland Atmos.Chem.Phys.,6,3377-3390 2006 Vanhanen, J., Mikkila, J., Lehtipalo, K., Sipila, M., Manninen, H. E., Siivola, E., Petaja, T., and Kulmala, M. : Particle size magnifier for nano-CN detection, Aerosol Sci Technol.,45,533 doi:10.1080/02786826.2010.547889 542 2011 Wagner, R., Manninen, H. E., Franchin, A., Lehtipalo, K., Mirme, S., Steiner, G., Petaja, T., and Kulmala, M. : On the accuracy of ion measurements using a Neutral cluster and Air Ion Spectrometer, Boreal Environ. Res., 21, 230-241 2016 doi:10.1080/02786829008959441 Wang, S. C. and Flagan, R. C. : Scanning electrical mobility spectrometer, Aerosol Sci Technol.,13,230-240 1990 doi:10.5194/acp14-2789-2014 Wildt, J., Mentel, T. F., Kiendler-Scharr, A., Hoffmann, T., Andres, S., Ehn, M., Kleist, E., Müsgen, P., Rohrer, F., Rudich, Y. M., Tillmann, R., and Wahner, A : Suppression of new particle formation from monoterpene oxidation by NOx Springer Atmos.Chem.Phys.,14,2789-2804 2014 Winkler, P. M., Steiner, G., Vrtala, A., Vehkamäki, H., Noppel, M., Lehtinen, K. E. J., Reischl, G. P., Wagner, P. E., and Kulmala, M. : Heterogeneous nucleation experiments bridging the scale from molecular ion clusters to nanoparticles Science,319,1374 doi:10.1126/science.1149034 1377 2008 doi:10.1029/2000jd900539 Yu, F. Q. and Turco, R. P.: From molecular clusters to nanoparticles: role of ambient ionization in tropospheric aerosol formation J.Geophys.Res.Atmos.,106,4797-4814 2001 doi:10.5194/acp-11-9451-2011 Yu, F. and Turco, R. P.: The size-dependent charge fraction of sub-3nm particles as a key diagnostic of competitive nucleation mechanisms under atmospheric conditions Atmos.Chem.Phys.,11,9451-9463 2011 Luo, G., Bates, T. S., Anderson, B., Clarke, A., Kapustin, V., Yantosca, R. M., Wang, Y. X. Yu, F. Q and Wu, S. L.: doi:10.1029/2009jd013473 Spatial distributions of particle number concentrations in the global troposphere: simulations, observations, and implications for nucleation mechanisms J.Geophys.Res.Atmos.,115,14 2010 doi:10.5194/acp-11-7817-2011 Zhang, K., Feichter, J., Kazil, J., Wan, H., Zhuo, W., Griffiths, A. D., Sartorius, H., Zahorowski, W., Ramonet, M., Schmidt, M., Yver, C., Neubert, R. E. M., and Brunke, E.-G. : Radon activity in the lower troposphere and its impact on ionization rate: a global estimate using different radon emissions www.atmos-chem-phys.net/17/15181/2017/ Atmos.Chem.Phys.,11,7817-7838 Atmos.Chem.Phys.,17,15181-15197 2011 2310143 SzGeCERN 20180327142456.0 DOI submitter 10.5194/acp-18-65-2018 oai:inspirehep.net:1662634 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1662634 2018-03-22T16:15:17Z 2018-03-23T10:33:17Z marcxml Inspire 1662634 eng Frege, Carla PSI, Villigen submitter Influence of temperature on the molecular composition of ions and charged clusters during pure biogenic nucleation crossref Influence of temperature on the molecular composition of ions and charged clusters during pure biogenic nucleation 2018 15 p submitter It was recently shown by the CERN CLOUD experiment that biogenic highly oxygenated molecules (HOMs) form particles under atmospheric conditions in the absence of sulfuric acid, where ions enhance the nucleation rate by 1–2 orders of magnitude. The biogenic HOMs were produced from ozonolysis of α-pinene at 5 °C. Here we extend this study to compare the molecular composition of positive and negative HOM clusters measured with atmospheric pressure interface time-of-flight mass spectrometers (APi-TOFs), at three different temperatures (25, 5 and −25 °C). Most negative HOM clusters include a nitrate (NO$_{3}^{−}$) ion, and the spectra are similar to those seen in the nighttime boreal forest. On the other hand, most positive HOM clusters include an ammonium (NH$_{4}^{+}$) ion, and the spectra are characterized by mass bands that differ in their molecular weight by ∼ 20 C atoms, corresponding to HOM dimers. At lower temperatures the average oxygen to carbon (O : C) ratio of the HOM clusters decreases for both polarities, reflecting an overall reduction of HOM formation with decreasing temperature. This indicates a decrease in the rate of autoxidation with temperature due to a rather high activation energy as has previously been determined by quantum chemical calculations. Furthermore, at the lowest temperature (−25 °C), the presence of C30 clusters shows that HOM monomers start to contribute to the nucleation of positive clusters. These experimental findings are supported by quantum chemical calculations of the binding energies of representative neutral and charged clusters. CC-BY-3.0 https://creativecommons.org/licenses/by/3.0/ SzGeCERN Physics in General CERN CLOUD Ortega, Ismael K Rissanen, Matti P Praplan, Arnaud P Steiner, Gerhard University of Innsbruck, Institute of Ion Physics and Applied Physics, Technikerstraße 25, 6020 Innsbruck, Austria Heinritzi, Martin Ahonen, Lauri Amorim, António Bernhammer, Anne-Kathrin Ionicon Analytik GmbH, Eduard-Bodem Gasse 3, 6020 Innsbruck, Austria Bianchi, Federico University of Helsinki, Department of Physics, P.O. Box 64, University of Helsinki, 00014 Helsinki, Finland Brilke, Sophia University of Vienna, Faculty of Physics, Boltzmanngasse 5, 1090 Vienna, Austria Breitenlechner, Martin Dada, Lubna Dias, António Duplissy, Jonathan CERN CERN, Geneva, Switzerland Ehrhart, Sebastian CERN El-Haddad, Imad Fischer, Lukas Fuchs, Claudia Garmash, Olga Gonin, Marc Hansel, Armin Ionicon Analytik GmbH, Eduard-Bodem Gasse 3, 6020 Innsbruck, Austria Hoyle, Christopher R Jokinen, Tuija Junninen, Heikki University of Tartu, Institute of Physics, 50090 Tartu, Estonia Kirkby, Jasper CERN CERN, Geneva, Switzerland Kürten, Andreas Lehtipalo, Katrianne University of Helsinki, Department of Physics, P.O. Box 64, University of Helsinki, 00014 Helsinki, Finland Leiminger, Markus Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany Mauldin, Roy Lee Department of Atmospheric and Oceanic Sciences, University of Colorado, Boulder, Colorado, 80309-0311, USA Molteni, Ugo Nichman, Leonid Petäjä, Tuukka Sarnela, Nina Schobesberger, Siegfried University of Eastern Finland, Department of Applied Physics, 70211 Kuopio, Finland Simon, Mario Sipilä, Mikko Stolzenburg, Dominik Tomé, António Vogel, Alexander L CERN CERN, Geneva, Switzerland Wagner, Andrea C Wagner, Robert Xiao, Mao Yan, Chao Ye, Penglin Aerodyne Research Inc., Billerica, Massachusetts, 01821, USA Curtius, Joachim Donahue, Neil M Flagan, Richard C Kulmala, Markku Worsnop, Douglas R University of Eastern Finland, Department of Applied Physics, 70211 Kuopio, Finland Winkler, Paul M Dommen, Josef Baltensperger, Urs 65-79 1 Atmos. Chem. Phys. 18 2018 1392039 2588151 http://cds.cern.ch/record/2310143/files/fulltext.pdf Fulltext 13 ARTICLE 0-0-2-1-0-1-0 2018-03-15 20:09:55 Invenio/1.1.2.1260-aa76f refextract/1.5.44 content.pdf;1 Almeida, J., Schobesberger, S., Kürten, A., Ortega, I. K., Kupiainen-Määttä, O., Praplan, A. P., Adamov, A., Amorim, A., Bianchi, F., Breitenlechner, M., David, A., Dommen, J., Donahue, N. M., Downard, A., Dunne, E., Duplissy, J., Ehrhart, S., Flagan, R. C., Franchin, A., Guida, R., Hakala, J., Hansel, A., Heinritzi, M., Henschel, H., Jokinen, T., Junninen, H., Kajos, M., Kangasluoma, J., Keskinen, H., Kupc, A., Kurtén, T., Kvashin, A. N., Laaksonen, A., Lehtipalo, K., Leiminger, M., Leppä, J., Loukonen, V., Makhmutov, V., Mathot, S., McGrath, M. J., Nieminen, T., Olenius, T., Onnela, A., Petäjä, T., Riccobono, F. Riipinen, I., Rissanen, M., Rondo, L., Ruuskanen, T., Santos, F Sarnela, N., Schallhart, S., Schnitzhofer, R., Seinfeld, J. H., Simon, M., Sipilä, M., Stozhkov, Y., Stratmann, F., Tomé, A., Tröstl, J., Tsagkogeorgas, G., Vaattovaara, P., Viisanen, Y., Virtanen, A., Vrtala, A., Wagner, P. E., Weingartner, E., Wex, H., Williamson, C., Wimmer, D. D Ye, P., Yli-Juuti, T., Carslaw, K 1256998 doi:10.1038/nature12663 Kulmala, M., Curtius, J., Baltensperger, U., Worsnop, D. R., Vehkamäki, H., and Kirkby, J. S : Molecular understanding of sulphuric acid-amine particle nucleation in the atmosphere Nature,502,359-363 2013 doi:10.5194/acp-2017-694 Andreae, M. O., Afchine, A., Albrecht, R., Holanda, B. A., Artaxo, P., Barbosa, H. M. J., Bormann, S., Cecchini, M. A., Costa, A., Dollner, M., Fütterer, D., Järvinen, E., Jurkat, T., Klimach, T., Konemann, T., Knote, C., Krämer, M., Krisna, T., Machado, L. A. T., Mertes, S., Minikin, A., Pöhlker, C., Pöhlker, M. L., Pöschl, U., Rosenfeld, D., Sauer, D., Schlager, H., Schnaiter, M., Schneider, J., Schulz, C., Spanu, A., Sperling, V. B., Voigt, C., Walser, A., Wang, J., Weinzierl, B., Wendisch, M., and Ziereis, H. : Aerosol characteristics and particle production in the upper troposphere over the Amazon Basin, Atmos. Chem. Phys. Discuss in review 2017 Bianchi, F., Tröstl, J., Junninen, H., Frege, C., Henne, S., Hoyle, C. R., Molteni, U., Herrmann, E., Adamov, A., Bukowiecki, N., Chen, X., Duplissy, J., Gysel, M., Hutterli, M., Kangasluoma, J., Kontkanen, J., Kürten, A., Manninen, H. E., Münch, S., Peräkylä, O., Petäjä, T., Rondo, L., Williamson, C., Weingartner, E., Curtius, J., Worsnop, D. R., Kulmala, M., Dommen, J., and Baltensperger, U. : New particle formation in the free troposphere: doi:10.1126/science.aad5456 A question of chemistry and timing Science,352,1109-1112 2016 Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster, P., Kerminen, V.-M. V.-M., Kondo, Y., Liao, H., Lohmann, U., Rasch, P., Satheesh, S. K., Sherwood, S., Stevens, B., Zhang, X. Y., and Zhan, X. Y. : Clouds and Group I Aerosols, in: Climate Change: The Physical Science Basis. Contribution of Working to the Fifth Assessment 2013 doi:10.1017/CBO9781107415324.016 I to Fifth Report of the Intergovernmental Panel on Climate Change, Clim. Chang.Phys. Sci. Basis. Contrib. Work. Gr Assess. Rep. Intergov. Panel Clim. Chang., 571-657 2013 Crounse, J. D., Nielsen, L. B., Jørgensen, S., Kjaergaard, H CURATOR doi:10.1021/jz4019207 G., and Wennberg, P. O.: Autoxidation of organic compounds in the atmosphere J.Phys.Chem.Lett.,4,3513-3520 2013 doi:10.1063/1.1674902 Ditchfield, R. : Self-consistent molecular-orbital methods. IX. An extended gaussian-type basis for molecular-orbital studies of organic molecules J.Chem.Phys.,54,724-728 1971 Dunne, E. M., Gordon, H., Kürten, A., Almeida, J., Duplissy, J., Williamson, C., Ortega, I. K., Pringle, K. J., Adamov, A., Baltensperger, U., Barmet, P., Benduhn, F., Bianchi, F., Breitenlechner, M., Clarke, A., Curtius, J., Dommen, J., Donahue, N. M., Ehrhart, S., Flagan, R. C., Franchin, A., Guida, R., Hakala, J., Hansel, A., Heinritzi, M., Jokinen, T., Kangasluoma, J., Kirkby, J., Kulmala, M., Kupc, A., Lawler, M. J., Lehtipalo, K., Makhmutov, V., Mann, G., Mathot, S., Merikanto, J., Miettinen, P., Nenes, A., Onnela, A., Rap, A., Reddington, C. L. S., Riccobono, F., Richards, N. A. D., Rissanen, M. P., Rondo, L., Sarnela, N., Schobesberger, S., Sengupta, K., Simon, M., Sipilä, M., Smith, J. N., Stozkhov, Y., Tomé, A., Tröstl, J., Wagner, P. E., Wimmer, D., Winkler, P. M., Worsnop, D 1495657 doi:10.1126/science.aaf2649 R., and Carslaw, K. S.: Global atmospheric particle formation from CERN CLOUD measurements Science,354,1119-1124 2016 Duplissy, J., Merikanto, J., Franchin, A., Tsagkogeorgas, G., Kangasluoma, J., Wimmer, D., Vuollekoski, H., Schobesberger, S., Lehtipalo, K., Flagan, R. C., Brus, D., Donahue, N. M., Vehkamäki, H., Almeida, J., Amorim, A., Barmet, P., Bianchi, F., Breitenlechner, M., Dunne, E. M., Guida, R., Henschel, H., Junninen, H., Kirkby, J., Kürten, A., Kupc, A., Määttänen, A., Makhmutov, V., Mathot, S., Nieminen, T., Onnela, A., Praplan, A. P., Riccobono, F., Rondo, L., Steiner, G., Tomé, A., Walther, H., Baltensperger, U., Carslaw, K. S., Dommen, J., Hansel, A., Petäjä, T., Sipilä, M., Stratmann, F., Vrtala, A., Wagner, P. E., Worsnop, D. R., Curtius, J., and Kulmala, M. : Effect of ions on sulfuric acid-water binary particle formation: doi:10.1002/2015JD023538 Experimental data and comparison with QC-normalized classical nucleation theory 2 J.Geophys.Res.Atmos.,121,1-20 2016 CURATOR Ehn, M., Junninen, H., Petäjä, T., Kurtén, T., Kerminen, V.-M., Schobesberger, S., Manninen, H. E., Ortega, I. K., Vehkamäki, H., Kulmala, M., and Worsnop, D. R. : Composition and temporal behavior of ambient ions in the boreal forest CURATOR doi:10.5194/acp-108513-2010 Atmos.Chem.Phys.,10,8513-8530 2010 CURATOR doi:10.1080/02786826.2010.547890 Ehn, M., Junninen, H., Schobesberger, S., Manninen, H. E., Franchin, A., Sipilä, M., Petäjä, T., Kerminen, V.-M., Tammet, H., Mirme, A., Mirme, S., Hõrrak, U., Kulmala, M., and Worsnop, D. R. : An instrumental comparison of mobility and mass measurements of atmospheric small ions Aerosol Sci.Technol.,45,522-532 2011 doi:10.1038/nature13032 Ehn, M., Thornton, J. a., Kleist, E., Sipilä, M., Junninen, H., Pullinen, I M., Rubach, F., Tillmann, R., Lee, B., Lopez-Hilfiker, F., Andres, S., Acir, I.-H., Rissanen, M., Jokinen, T., Schobesberger, S., Kangasluoma, J., Kontkanen, J., Nieminen, T., Kurtén, T., Nielsen, L. B., Jørgensen, S., Kjaergaard, H. G., Canagaratna, M., Maso, M. D., Berndt, T., Petäjä, T., Wahner, A., Kerminen, V.-M., Kulmala, M., Worsnop, D. R., Wildt, J., and Mentel, T. F : A large source of lowvolatility secondary organic aerosol Springer Nature,506,476-479 2014 CURATOR Franchin, A., Ehrhart, S., Leppä, J., Nieminen, T., Gagné, S., Schobesberger, S., Wimmer, D., Duplissy, J., Riccobono, F., Dunne, E. M., Rondo, L., Downard, A., Bianchi, F., Kupc, A., Tsagkogeorgas, G., Lehtipalo, K., Manninen, H. E., Almeida, J., Amorim, A., Wagner, P. E., Hansel, A., Kirkby, J., Kürrten, A., Donahue, N. M., Makhmutov, V., Mathot, S., Metzger, A., Petäjä, T., Schnitzhofer, R., Sipilä, M., Stozhkov, Y., Tomé, A., Kerminen, V. M., Carslaw, K., Curtius, J., Baltensperger, U., and Kulmala, M. : Experimental investigation of ion-ion recombination under atmospheric conditions Atmos.Chem.Phys.,15,7203 doi:10.5194/acp-15-7203-2015 7216 2015 CURATOR Frisch, M. J., Trucks, G. W., Schlegel, H. B., Scuseria, G. E., Robb, M. A., Cheeseman, J. R., Scalmani, G., Barone, V., Mennucci, B., Petersson, G. A., Nakatsuji, H., Caricato, M. Li, X., Hratchian, H. P., Izmaylov, A. F., Bloino, J., Zheng, G., Sonnenberg, J. L., Hada, M., Ehara, M., Toyota, K., Fukuda, R Hasegawa, J., Ishida, M., Nakajima, T., Honda, Y., Kitao, O., Nakai, H., Vreven, T. Montgomery Jr., J. A., Peralta, J. E., Ogliaro, F., Bearpark, M., Heyd, J. J., Brothers, E., Kudin, K. N., Staroverov, V. N., Kobayashi, R., Normand, J., Raghavachari, K., Rendell, A., Burant, J. C., Iyengar, S. S., Tomasi, J., Cossi, M., Rega, N., Millam, J. M., Klene, M., Knox, J. E., Cross, J. B., Bakken, V., Adamo, C., Jaramillo, J.,Gomperts, R., Stratmann, R. E., Yazyev, O., Austin, A. J., Cammi, R., Pomelli, C., Ochterski, J. W., Martin, R. L., Morokuma, K., Zakrzewski, V. G., Voth, G. A., Salvador, P., Dannenberg, J. J., Dapprich, S., Daniels, A Farkas, O., Foresman, J. B., Ortiz, J. V.,Cioslowski, J. D and Fox, D. J. : Gaussian 09, Revision B01, Gaussian, Inc., Wallingford CT 2009 Hirsikko, A., Nieminen, T., Gagné, S., Lehtipalo, K., Manninen, H CURATOR Ehn, M., Hõrrak, U., Kerminen, V.-M., Laakso, L., McMurry, P. H., Mirme, A., Mirme, S., Petäjä, T., Tammet, H., Vakkari, V., Vana, M., and Kulmala, M. E : Atmospheric ions and nucleation: a review of observations Atmos.Chem.Phys.,11,767 doi:10.5194/acp-11-767-2011 798 2011 Hoyle, C. R., Fuchs, C., Jarvinen, E., Saathoff, H., Dias, A., El Haddad, I., Gysel, M., Coburn, S. C., Trostl, J., Hansel, A., Bianchi, F., Breitenlechner, M., Corbin, J. C., Craven, J., Donahue, N CURATOR doi:10.5194/acp16-1693-2016 Duplissy, J., Ehrhart, S., Frege, C., Gordon, H., Hoppel, N., Heinritzi, M., Kristensen, T. B., Molteni, U., Nichman, L., Pinterich, T., Prevôt, A. S. H., Simon, M., Slowik, J. G., Steiner, G., Tome, A., Vogel, A. L., Volkamer, R., Wagner, A. C., Wagner, R., Wexler, A. S., Williamson, C., Winkler, P. M., Yan, C., Amorim, A., Dommen, J., Curtius, J., Gallagher, M. W., Flagan, R. C., Hansel, A., Kirkby, J., Kulmala, M., Mohler, O., Stratmann, F., Worsnop, D. R., and Baltensperger, U. M : Aqueous phase oxidation of sulphur dioxide by ozone in cloud droplets Atmos.Chem.Phys.,16,1693-1712 2016 Hunter, E. P. and Lias, S. G. : Evaluate gas phase basicities and proton affinity of molecules: an update J.Phys.Chem.Ref.Data,27,413-656 1998 doi:10.1021/acs.jpca.5b01818 Hyttinen, N., Kupiainen-Määttä, O., Rissanen, M. P., Muuronen, M., Ehn, M., and Kurtén, T. : Modeling the charging of highly oxidized cyclohexene ozonolysis products using nitratebased chemical ionization J.Phys.Chem.,A119,6339-6345 2015 925516 doi:10.1038/nature10343 Kirkby, J., Curtius, J., Almeida, J., Dunne, E., Duplissy, J., Ehrhart, S., Franchin, A., Gagné, S., Ickes, L., Kürten, A., Kupc, A., Metzger, A., Riccobono, F., Rondo, L., Schobesberger, S., Tsagkogeorgas, G., Wimmer, D., Amorim, A., Bianchi, F., Breitenlechner, M., David, A., Dommen, J., Downard, A., Ehn, M., Flagan, R. C., Haider, S., Hansel, A., Hauser, D., Jud, W., Junninen, H., Kreissl, F., Kvashin, A., Laaksonen, A., Lehtipalo, K., Lima, J., Lovejoy, E. R., Makhmutov, V., Mathot, S., Mikkilä, J., Minginette, P., Mogo, S., Nieminen, T., Onnela, A., Pereira, P., Petäjä, T., Schnitzhofer, R., Seinfeld, J. H., Sipilä, M., Stozhkov, Y., Stratmann, F., Tomé, A., Vanhanen, J., Viisanen, Y., Vrtala, A., Wagner, P. E., Walther, H., Weingartner, E., Wex, H., Winkler, P. M., Carslaw, K. S., Worsnop, D. R., Baltensperger, U., and Kulmala, M. : Role of sulphuric acid, ammonia and galactic cosmic rays in atmospheric aerosol nucleation Nature,476,429-433 2011 Kirkby, J., Duplissy, J., Sengupta, K., Frege, C., Gordon, H., Williamson, C., Heinritzi, M., Simon, M., Yan, C., Almeida, J., Tröstl, J., Nieminen, T., Ortega, I. K., Wagner, R., Adamov, A., Amorim, A., Bernhammer, A.-K., Bianchi, F., Breitenlechner, M., Brilke, S., Chen, X., Craven, J., Dias, A., Ehrhart, S., Flagan, R. C., Franchin, A., Fuchs, C., Guida, R., Hakala, J., Hoyle, C Jokinen, T., Junninen, H., Kangasluoma, J., Kim, J., Krapf, M., Kürten, A., Laaksonen, A., Lehtipalo, K., Makhmutov, V., Mathot, S., Molteni, U., Onnela, A., Peräkylä, O., Piel, F., Petäjä, T., Praplan, A. P., Pringle, K., Rap, A., Richards, N. A. D., Riipinen, I., Rissanen, M. P., Rondo, L., Sarnela, N., Schobesberger, S., Scott, C. E., Seinfeld, J. H., Sipilä, M., Steiner, G., Stozhkov, Y., Stratmann, F., Tomé, A., Virtanen, A., Vogel, A. L., Wagner, A. C., Wagner, P. E., Weingartner, E., Wimmer, D., Winkler, P. M. R Ye, P., Zhang, X., Hansel, A., Dommen, J., Donahue, N Worsnop, D. R., Baltensperger, U., Kulmala, M., Carslaw, K M 1465756 doi:10.1038/nature17953 S., and Curtius, J.: Ion-induced nucleation of pure biogenic particles Nature,533,521-526 2016 Kulmala, M., Vehkamäki, H., Petäjä, T., Dal Maso, M., Lauri, A., Kerminen, V. M., Birmili, W., and McMurry, P. H. : doi:10.1016/j.jaerosci.2003.10.003 Formation and growth rates of ultrafine atmospheric particles: A review of observations J.Aerosol Sci.,35,143-176 2004 doi:10.1126/science.1227385 Kulmala, M., Kontkanen, J., Junninen, H., Lehtipalo, K., Manninen, H. E., Nieminen, T., Petäjä, T., Sipilä, M., Schobesberger, S., Rantala, P., Franchin, A., Jokinen, T., Järvinen, E., Äijälä, M., Kangasluoma, J., Hakala, J., Aalto, P. P., Paasonen, P., Mikkilä, J., Vanhanen, J., Aalto, J., Hakola, H., Makkonen, U., Ruuskanen, T., Mauldin, R. L., Duplissy, J., Vehkamäki, H., Bäck, J., Kortelainen, A., Riipinen, I., Kurtén, T., Johnston, M. V, Smith, J. N., Ehn, M., Mentel, T. F., Lehtinen, K. E. J., Laaksonen, A., Kerminen, V.-M., and Worsnop, D. R. : Direct observations of atmospheric aerosol nucleation Science,339,943-946 2013 Kürten, A., Bianchi, F., Almeida, J., Kupiainen-Määttä, O., Dunne, E. M., Duplissy, J., Williamson, C., Barmet, P., Breitenlechner, M., Dommen, J., Donahue, N. M., Flagan, R. C., Franchin, A., Gordon, H., Hakala, J., Hansel, A., Heinritzi, M., Ickes, L., Jokinen, T., Kangasluoma, J., Kim, J., Kirkby, J., Kupc, A., Lehtipalo, K., Leiminger, M., Makhmutov, V., Onnela, A., Ortega, I. K., Petäjä, T., Praplan, A. P., Riccobono, F., Rissanen, M. P., Rondo, L., Schnitzhofer, R., Schobesberger, S., Smith, J. N., Steiner, G., Stozkhov, Y., Tomé, A., Tröstl, J., Tsagkogeorgas, G., Wagner, P. E., Wimmer, D. Ye, P., Baltensperger, U., Carslaw, K. S., Kulmala, M., and Curtius, J : doi:10.1002/2015JD023908 Experimental particle formation rates spanning tropospheric sulfuric acid and ammonia abundances, ion production rates, and temperatures J.Geophys.Res.Atmos.,121,12377-12400 2016 Lehtipalo, K., Rondo, L., Kontkanen, J., Schobesberger, S., Jokinen, T., Sarnela, N., Kürten, A., Ehrhart, S., Franchin, A., Nieminen, T., Riccobono, F., Sipilä, M., Yli-Juuti, T., Duplissy, J., Adamov, A., Ahlm, L., Almeida, J., Amorim, A., Bianchi, F., Breitenlechner, M., Dommen, J., Downard, A. J., Dunne, E. M., Flagan, R CURATOR Guida, R., Hakala, J., Hansel, A., Jud, W., Kangasluoma, J., Kerminen, V.-M., Keskinen, H., Kim, J., Kirkby, J., Kupc, A., Kupiainen-Määttä, O., Laaksonen, A., Lawler, M. J., Leiminger, M., Mathot, S., Olenius, T., Ortega, I. K., Onnela, A., Petäjä, T., Praplan, A. P., Rissanen, M. P., Ruuskanen, T. M., Santos, F. D., Schallhart, S., Schnitzhofer, R., Simon, M., Smith, J. N. C Tröstl, Tsagkogeorgas, G., Tomé, A., Vaattovaara, P., Vehkämäki, H., Vrtala, A. E., Wagner, P. E., Williamson, C., Wimmer, D., Winkler, P. M., Virtanen, A., Donahue, N. M., Carslaw, K. S., Baltensperger, U., Riipinen, I., Curtius, J., Worsnop, D. R. J and CURATOR doi:10.1038/ncomms11594 Kulmala, M. : The effect of acid-base clustering and ions on the growth of atmospheric nano-particles Nature Commun.,7,11594 2016 Merikanto, J., Spracklen, D. V., Mann, G. W., Pickering, S. J. and CURATOR Carslaw, K. S. : Impact of nucleation on global CCN CURATOR doi:10.5194/acp-9-86012009 Atmos.Chem.Phys.,9,8601-8616 2009 doi:10.1002/2015JD023538 Merikanto, J., Duplissy, J., Määttänen, A., Henschel, H., Donahue, N. M., Brus, D., Schobesberger, S., Kulmala, M., and Vehkamäki, H. : Effect of ions on sulfuric acidwater binary particle formation I: Theory for kinetic and nucleation-type particle formation and atmospheric implications J.Geophys.Res.Atmos.,121,1736-1751 2016 Metzger, A., Verheggen, B., Dommen, J., Duplissy, J., Prevot, A doi:10.1073/pnas.0911330107 Weingartner, E., Riipinen, I., Kulmala, M., Spracklen, D. V, Carslaw, K. S., and Baltensperger, U. S. H : Evidence for the role of organics in aerosol particle formation under atmospheric conditions, P Proc.Nat.Acad.Sci.,107,6646-6651 2010 doi:10.1029/2003JD003664 Nadykto, A. B. : Uptake of neutral polar vapor molecules by charged clusters/particles: Enhancement due to dipolecharge interaction J.Geophys.Res.Atmos.,108,4717 2003 CURATOR doi:10.5194/acp-12225-2012 Ortega, I. K., Kupiainen, O., Kurtén, T., Olenius, T., Wilkman, O., McGrath, M. J., Loukonen, V., and Vehkamäki, H. : From quantum chemical formation free energies to evaporation rates Atmos.Chem.Phys.,12,225-235 2012 CURATOR doi:10.5194/acp15-4145-2015 Praplan, A. P., Schobesberger, S., Bianchi, F., Rissanen, M. P., Ehn, M., Jokinen, T., Junninen, H., Adamov, A., Amorim, A., Dommen, J., Duplissy, J., Hakala, J., Hansel, A., Heinritzi, M., Kangasluoma, J., Kirkby, J., Krapf, M., Kürten, A., Lehtipalo, K., Riccobono, F., Rondo, L., Sarnela, N., Simon, M., Tomé, A., Tröstl, J., Winkler, P. M., Williamson, C. Ye, P., Curtius, J., Baltensperger, U., Donahue, N. M., Kulmala, M., and Worsnop, D. R : Elemental composition and clustering behaviour of αpinene oxidation products for different oxidation conditions Atmos.Chem.Phys.,15,4145-4159 2015 Riccobono, F., Schobesberger, S., Scott, C. E., Dommen, J., Ortega, I. K., Rondo, L., Almeida, J., Amorim, A., Bianchi, F., Breitenlechner, M., David, A., Downard, A., Dunne, E. M., Duplissy, J., Ehrhart, S., Flagan, R. C., Franchin, A., Hansel, A., Junninen, H., Kajos, M., Keskinen, H., Kupc, A., Kürten, A., Kvashin, A Laaksonen, A., Lehtipalo, K., Makhmutov, V., Mathot, S., Nieminen, T., Onnela, A., Petäjä, T., Praplan, A. P., Santos, F N Schallhart, S., Seinfeld, J. H., Sipilä, M., Spracklen, D. V., Stozhkov, Y., Stratmann, F., Tomé, A., Tsagkogeorgas, G., Vaattovaara, P., Viisanen, Y., Vrtala, A., Wagner, P. E., Donahue, N D 1299219 Kirkby, J., Kulmala, M., Worsnop, D. R., and Baltensperger, U. M : Oxidation products of biogenic emissions contribute to nucleation of atmospheric particles Science,344,717-721 2014 doi:10.1021/jp510966g Rissanen, M. P., Kurtén, T., Sipilä, M., Thornton, J. A., Kausiala, O., Garmash, O., Kjaergaard, H. G., Petäjä, T., Worsnop, D. R., Ehn, M., and Kulmala, M. : Effects of chemical complexity on the autoxidation mechanisms of endocyclic alkene ozonolysis products: From methylcyclohexenes toward understanding α-pinene J.Phys.Chem.,A119,4633-4650 2015 Schobesberger, S., Junninen, H., Bianchi, F., Lönn, G., Ehn, M., Lehtipalo, K., Dommen, J., Ehrhart, S., Ortega, I. K., Franchin, A., Nieminen, T., Riccobono, F., Hutterli, M., Duplissy, J., Almeida, J., Amorim, A., Breitenlechner, M., Downard, A. J., Dunne, E. M., Flagan, R. C., Kajos, M., Keskinen, H., Kirkby, J., Kupc, A., Kürten, A., Kurtén, T., Laaksonen, A., Mathot, S., Onnela, A., Praplan, A. P., Rondo, L., Santos, F. D., Schallhart, S., Schnitzhofer, R., Sipilä, M., Tomé, A., Tsagkogeorgas, G., Vehkamäki, H., Wimmer, D., Baltensperger, U., Carslaw, K doi:10.1073/pnas.1306973110 Curtius, J., Hansel, A., Petäjä, T., Kulmala, M., Donahue, N. M., and Worsnop, D. R. S : Molecular understanding of atmospheric particle formation from sulfuric acid and large oxidized organic molecules, P Proc.Nat.Acad.Sci.,110,17223-17228 2013 CURATOR Shuman, N. S., Hunton, D. E., and Viggiano, A. A. : Ambient and modified atmospheric ion chemistry: from top to bottom CURATOR doi:10.1021/cr5003479 Chem.Rev.,115,4542-4570 2015 Steiner, G., Jokinen, T., Junninen, H., Sipilä, M., Petäjä, T., Worsnop, D., Reischl, G. P., and Kulmala, M. : High-resolution mobility and mass spectrometry of negative ions produced in a doi:10.1080/02786826.2013.870327 Am aerosol charger 241 Aerosol Sci.Technol.,48,261-270 2014 CURATOR doi:10.5194/acp-8-129-2008 Suni, T., Kulmala, M., Hirsikko, A., Bergman, T., Laakso, L., Aalto, P. P., Leuning, R., Cleugh, H., Zegelin, S., Hughes, D., van Gorsel, E., Kitchen, M., Vana, M., Hõrrak, U., Mirme, S., Mirme, A., Sevanto, S., Twining, J., and Tadros, C. : Formation and characteristics of ions and charged aerosol particles in a native Australian Eucalypt forest Atmos.Chem.Phys.,8,129-139 2008 Tröstl, J., Chuang, W. K., Gordon, H., Heinritzi, M., Yan, C., Molteni, U., Ahlm, L., Frege, C., Bianchi, F., Wagner, R., Simon, M., Lehtipalo, K., Williamson, C., Craven, J. S., Duplissy, J., Adamov, A., Almeida, J., Bernhammer, A.-K., Breitenlechner, M., Brilke, S., Dias, A., Ehrhart, S., Flagan, R 1465760 doi:10.1038/nature18271 Franchin, A., Fuchs, C., Guida, R., Gysel, M., Hansel, A., Hoyle, C. R., Jokinen, T., Junninen, H., Kangasluoma, J., Keskinen, H., Kim, J., Krapf, M., Kürten, A., Laaksonen, A., Lawler, M. J., Leiminger, M., Mathot, S., Möhler, O., Nieminen, T., Onnela, A., Petäjä, T., Piel, F., Miettinen, P., Rissanen, M. P., Rondo, L., Sarnela, N., Schobesberger, S., Sengupta, K., Sipilä, M., Smith, J. N., Steiner, G., Tomé, A., Virtanen, A., Wagner, A. C., Weingartner, E., Wimmer, D., Winkler, P. M. C Ye, P., Carslaw, K. S., Curtius, J., Dommen, J., Kirkby, J., Kulmala, M., Riipinen, I., Worsnop, D. R., Donahue, N. M., and Baltensperger, U : The role of low-volatility organic compounds for initial particle growth in the atmosphere Nature,533,527-531 2016 CURATOR doi:10.1007/s00214-007-0310-x Zhao, Y. and Truhlar, D. G. : The M06 suite of density functionals for main group thermochemistry, thermochemical kinetics, noncovalent interactions, excited states, and transition elements: Two new functionals and systematic testing of four M06-class functionals and 12 other function Theor.Chem.Acc.,120,215-241 2008 2309195 SzGeCERN 20180515232354.0 9780128116326 (electronic bk.) electronic version 9780128116319 electronic version EBL 5217573 eng QD505 .M483 2018 541.395 Vedrine, Jacques C Metal oxides in heterogeneous catalysis Saint Louis, MO Elsevier Science 2018 620 p Metal oxides Front Cover -- Metal Oxides in Heterogeneous Catalysis -- Copyright Page -- Contents -- List of Contributors -- About the Editor -- About the Series Editor -- Preface to the Series -- Introduction: Editorial -- 1 Fundamentals of heterogeneous catalysis -- 1.1 Introduction to catalysis -- 1.1.1 General aspects of catalysis -- 1.1.2 Main heterogeneous catalysts and industrial processes -- 1.2 Some historical features of industrial applications of catalysis -- 1.3 Solid catalysts, inorganic chemistry and material science -- 1.4 Catalyst activity -- 1.5 Kinetics and reaction mechanisms in heterogeneous catalysis -- 1.6 Active sites in heterogeneous catalysis -- 1.7 Deactivation by cocking or poisoning and regeneration -- 1.8 Main physical techniques used to characterise catalysts and reaction intermediates -- 1.9 Theoretical approach and calculations on oxide based heterogeneous catalysts -- 1.10 Concluding remarks -- References -- 2 Synthesis of metal oxide catalysts -- 2.1 Introduction -- 2.2 Simple oxides -- 2.2.1 General -- 2.2.2 Synthesis of simple oxides -- 2.2.2.1 Polymerization in the gas phase -- 2.2.2.2 Precipitation from aqueous solutions -- 2.2.2.3 Sol-gel and solvothermal procedures -- 2.2.3 Organizing the support porosity -- 2.2.3.1 Microporous oxides -- 2.2.3.2 Mesoporous oxides -- 2.2.3.3 Macroporous and hierarchically porous oxides -- 2.2.3.4 Anodic oxides -- 2.3 Mixed oxides -- 2.3.1 Perovskites -- 2.3.1.1 Structure and general characteristics -- 2.3.1.2 Classical syntheses -- 2.3.1.3 Recent strategies for perovskite synthesis -- 2.3.2 Synthesis of hexaaluminates -- 2.3.2.1 Structure and general characteristics -- 2.3.2.2 Classical syntheses -- 2.3.2.3 New synthesis routes to increase the surface area of hexaaluminates -- 2.4 Supported catalysts -- 2.4.1 General -- 2.4.2 Chemistry at the solid–liquid interface. 2.4.2.1 Aqueous-phase speciation of the metal precursor -- 2.4.2.2 Active-phase deposition -- Selective adsorption -- Incipient wetness impregnation (high solid/solution ratio) -- Wet impregnation (low solid/solution ratio) -- Deposition-precipitation -- Melt impregnation -- 2.4.2.3 Control of the surface speciation of the active phase: pH and concentration effects -- 2.4.2.4 Control of active-phase distribution at the impregnation step -- 2.4.2.5 Drying -- 2.5 Conclusion and perspectives -- References -- 3 Nanoporous oxide catalysts: A new catalyst paradigm of SYNGAS production for sustainable energy and environmental applica... -- 3.1 Introduction -- 3.2 Conversion routes of methane to syngas -- 3.2.1 Syngas: a key intermediate in the chemical industry and in energy conversion -- 3.3 Syngas, catalysis, and sustainability -- 3.4 Syngas from DRM -- 3.5 Syngas from POM -- 3.6 Syngas from SRM -- 3.7 Conclusions -- Acknowledgments -- References -- 4 Catalysts and catalysis for acid–base reactions -- 4.1 Roles of acid sites and base sites in acid- and base-catalyzed reactions -- 4.1.1 Advantages of heterogeneous acid and base catalysis over homogeneous ones -- 4.1.2 Definitions of Brønsted acid/base and Lewis acid/base -- 4.1.3 Roles of Brønsted acid sites -- 4.1.4 Roles of Lewis acid sites -- 4.1.5 Roles of Brønsted base sites -- 4.1.6 Roles of Lewis base sites -- 4.1.7 Cooperative action of acid and base sites -- 4.2 Characterization of acid and base sites -- 4.2.1 Indicator method -- 4.2.1.1 Acid strength based on H0 function -- 4.2.1.2 Base strength based on H− function -- 4.2.2 Infrared spectroscopy -- 4.2.2.1 Adsorption of pyridine -- 4.2.2.2 Surface OH groups -- 4.2.2.3 Adsorption of carbon dioxide -- 4.2.3 Temperature programmed desorption -- 4.2.3.1 TPD of ammonia -- 4.2.3.2 TPD of carbon dioxide -- 4.2.4 Calorimetry -- 4.2.5 MAS NMR. 4.2.5.1 1H MAS NMR of acidic OH groups -- 4.2.5.2 31P MAS NMR for acidity measurements -- 4.2.5.3 13C MAS NMR of adsorbed methyl iodide -- 4.2.6 Test reactions -- 4.2.6.1 Butene isomerization -- 4.2.6.2 Alcohol dehydration/dehydrogenation -- 4.2.6.3 Cyclization of acetonylacetone -- 4.2.6.4 Reactions of 2-methyl-3-butyn-2-ol (MBOH) -- 4.2.6.5 Rearrangement of cyclic acetals of α-bromophenyl ketone -- 4.2.6.6 Hexane cracking -- 4.3 Catalysis by solid acid catalysts -- 4.3.1 Hydrocarbon transformation -- 4.3.1.1 Cracking -- 4.3.1.2 Synthesis of ethylbenzene and cumene -- 4.3.1.3 Isomerization -- 4.3.2 Synthesis of organic chemicals -- 4.3.2.1 Methanol to hydrocarbons -- MTH, MTG, MTO processes -- Reaction mechanism -- 4.3.2.2 Alkylation of aromatics with alcohols -- 4.3.2.3 Acylation -- 4.3.2.4 Esterificatiion -- 4.3.2.5 Biodiesel synthesis -- 4.3.2.6 Meerwein-Ponndorf-Verley reduction and Oppenauer oxidation -- 4.3.2.7 Dehydration of alcohols -- Dehydration of ethanol -- Dehydration of glycerol to acrolein -- Dehydration of monoethanolamine -- 4.3.2.8 Hydration of alkenes and alkynes -- 4.3.2.9 Beckmann rearrangement -- 4.4 Catalysis by solid base catalysts -- 4.4.1 Isomerization of alkenes -- 4.4.2 Aldol and aldol-type reactions -- 4.4.3 Michael addition -- 4.4.4 Tishchenko reaction -- 4.4.5 Side chain alkylation -- 4.4.6 Hydrogenation -- 4.5 Solid acid catalysts -- 4.5.1 Zeolites -- 4.5.1.1 Characteristics of zeolites as solid acids -- 4.5.1.2 Structure of zeolites -- 4.5.1.3 Lewis acid catalysis by zeolites -- 4.5.1.4 Pore structure of zeolites and shape selectivity -- 4.5.1.5 Structure code of zeolites and related materials -- 4.5.1.6 Features of some important zeolites -- 4.5.2 Heteropolyacids -- 4.5.3 Silica-alumina -- 4.5.4 Sulfated zirconia -- 4.5.5 WO3-ZrO2 catalysts -- 4.5.6 Ion exchange resins -- 4.5.6.1 Polystyrene sulfonate-type resins. 4.5.6.2 Nafion -- 4.5.6.3 Nafion-silica composite -- 4.5.7 Solid phosphoric acid -- 4.6 Solid base catalysts -- 4.6.1 Alkaline earth oxides -- 4.6.2 Zirconia -- 4.6.3 Alumina -- 4.6.4 Hydrotalcite and mixed oxides derived from hydrotalcite -- 4.6.4.1 Structure of hydrotalcite -- 4.6.4.2 Thermal decomposition of hydrotalcite -- 4.6.4.3 Memory effect -- 4.6.4.4 Catalysis by hydrotalcite -- 4.6.4.5 Catalysis by mixed oxides -- 4.6.5 Alkaline salts supported on oxides -- 4.7 Perspectives in acid and base catalysis -- References -- 5 Gas phase heterogeneous partial oxidation reactions -- 5.1 Principles of catalyst choice for selective oxidation reactions and historical aspects -- 5.2 Nature of active sites in selective oxidation reactions -- 5.3 Structural features of metal oxide catalysts for oxidation reactions -- 5.4 Selective oxidation and ODH of short chain alkanes -- 5.5 Propene oxidation on Bi-molybdate based catalysts -- 5.6 Butane direct oxidation to maleic anhydride on VPO type catalysts -- 5.7 Propane direct oxidation/ammoxidation on mixed MoVTe(Sb)Nb–O catalysts -- 5.8 Trends in partial oxidation processes -- References -- Further reading -- 6 Transition metal oxides for combustion and depollution processes -- 6.1 Introduction -- 6.2 Overview on the mechanisms of total oxidation reactions over metal oxides -- 6.2.1 Different types of mechanisms for total oxidation -- 6.2.2 Mechanisms of carbon monoxide oxidation -- 6.2.3 Mechanisms of methane oxidation -- 6.3 Oxidation of carbon monoxide -- 6.3.1 Cobalt oxide -- 6.3.2 Cerium oxides -- 6.3.3 Manganese oxides -- 6.3.4 Perovskite catalysts -- 6.4 Methane oxidation -- 6.4.1 Single oxides -- 6.4.2 Perovskite catalysts -- 6.4.3 Hexaaluminate catalysts -- 6.5 Other hydrocarbons and oxygenates -- 6.5.1 Hydrocarbons -- 6.5.2 Oxygenates -- 6.6 Oxidation of chlorine- and sulfur-containing compounds. 6.6.1 Chlorinated VOCs -- 6.6.2 Sulfur compounds -- 6.7 Oxidation of automotive soots -- 6.8 Nitrogen-containing compounds -- 6.8.1 Scope of the section -- 6.8.2 NO oxidation -- 6.8.3 Ammonia oxidation -- 6.8.4 Urea oxidation -- 6.8.5 NOx-trap systems (basic oxides) -- 6.8.6 NOx direct decomposition -- 6.9 Wet air oxidation -- 6.10 Conclusions and perspectives -- References -- 7 Photocatalytic water splitting on metal oxide-based semiconductor photocatalysts -- 7.1 Introduction -- 7.1.1 Research background -- 7.1.2 Mechanism of photocatalytic water splitting on semiconductor photocatalyst -- 7.1.3 Types of photocatalytic water splitting -- 7.1.3.1 Overall water splitting on a single semiconductor photocatalyst -- 7.1.3.2 Half water splitting reaction in the presence of sacrificial reagents -- 7.1.3.3 Overall water splitting on two semiconductor photocatalysts linked with redox couples -- 7.1.4 Main metrics for evaluating photocatalytic water spitting -- 7.1.4.1 Photocatalytic activity -- 7.1.4.2 Photocatalytic durability -- 7.1.4.3 Scalability of photocatalyst materials -- 7.1.5 Apparatus for evaluating the photocatalytic water splitting performance -- 7.1.6 Preparation of metal oxide photocatalysts -- 7.1.6.1 Solid state reaction method -- 7.1.6.2 Polymerizable complex method -- 7.1.6.3 Hydrothermal (or solvothermal) method -- 7.1.7 Scope of this chapter -- 7.2 Typical metal oxide-based semiconductor for photocatalytic water splitting -- 7.2.1 UV light-responsive metal oxides -- 7.2.1.1 Titanium dioxide (TiO2) and Ti-based oxides -- 7.2.1.2 Niobium oxide (Nb2O5) and Nb-based oxides -- 7.2.1.3 Tantalum oxide (Ta2O5) and Ta-based oxides -- 7.2.1.4 Gallium oxide (Ga2O3) and Ga-based oxides -- 7.2.1.5 Other UV light-responsive metal oxides -- 7.2.2 Visible light-responsive metal oxides -- 7.2.2.1 Tungsten trioxide (WO3). 7.2.2.2 Bismuth vanadate (BiVO4). 9780128116319 print version oai:cds.cern.ch:2309195 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5217573 ebook ebook EBL Heterogeneous catalysis EBL201803 Chemical Physics and Chemistry SzGeCERN BOOK n 201811 201803 21 PUBLIC BOOK DELETED 2309170 SzGeCERN 20200610213332.0 9780815375814 print version 9781351207010 electronic version electronic version oai:cds.cern.ch:2309170 cerncds:BOOK EBL 5212794 eng TK7872.D48 .A488 2018 006.25 Al-Turjman, Fadi Wireless sensor networks deployment strategies for outdoor monitoring Milton CRC Press 2018 201 p ebook EBL201803 Computing and Computers SzGeCERN EBL Environmental monitoring BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5212794 ebook n 201811 201803 21 PUBLIC BOOK DELETED 2309136 SzGeCERN 20200503231955.0 9781138205888 print version 9781315465951 electronic version electronic version oai:cds.cern.ch:2309136 cerncds:BOOK EBL 5209824 eng QA76.9.H85 D497 2018 004.01/9 Hazas, Mike Digital technology and sustainability engaging the paradox Milton Taylor and Francis 2017 261 p ebook Routledge studies in sustainability Cover -- Title -- Copyright -- Dedication -- Contents -- List of table -- List of figures -- Acknowledgements -- List of contributors -- Photo essay 1: Selfie time -- Introduction: Digital technology and sustainability: engaging the paradox -- Photo essay 2: Artifice and nature -- Part 1 Assessing the field -- 1 Three principles of sustainable interaction design, revisited -- 2 Towards a social practice theory perspective on sustainable HCI research and design -- 3 A conversation between two sustainable HCI researchers: the role of HCI in a positive socio-ecological transformation -- Response 1a: Sustainable HCI: from individual to system -- Response 1b: Sustainability within HCI within society: improvisations, interconnections and imaginations -- Photo essay 3: Rooftop garden -- Part 2 Addressing limits -- 4 Every little bit makes little difference: the paradox within SHCI -- 5 Developing a political economy perspective for sustainable HCI -- 6 Software engineering for sustainability: tools for sustainability analysis -- Response 2: Challenging the scope? -- Photo essay 4: Classroom exercise -- Part 3 Ways to engage with others -- 7 Communicating SHCI research to practitioners and stakeholders -- 8 Negotiating and engaging with environmental public policy at different scales -- 9 On the inherent contradictions of teaching sustainability at a technical university -- 10 Participation in design for sustainability -- Response 3a: Connected and complicit -- Response 3b: From participatory design to participatory governance through sustainable HCI -- Photo essay 5: Airstream -- Part 4 Inspiring futures -- 11 A sustainable place: everyday designers as placemakers -- 12 Interaction design for sustainability futures: towards worldmaking interactions -- 13 Think local act local: the case of Burning Man. Response 4: Sustainability futures and the future of sustainable HCI -- Photo essay 6: Locked gate -- Epilogue -- Index. EBL201803 Computing and Computers SzGeCERN EBL Computer systems-Environmental aspects EBL Green technology EBL Human-computer interaction EBL Sustainability BOOK Nathan, Lisa https://cds.cern.ch/auth.py?r=EBLIB_P_5209824 ebook n 201811 201803 21 PUBLIC BOOK DELETED 2308944 SzGeCERN 20210202231112.0 9781603584340 print version 9781603584357 electronic version electronic version oai:cds.cern.ch:2308944 cerncds:BOOK EBL 5149117 eng TK9145 621.483 Smith, Gar Nuclear roulette the truth about the most dangerous energy source on earth White River Junction, VT Chelsea Green Publishing 2012 263 p ebook Praise for Nuclear Roulette -- Title -- Copyright -- Dedicated -- Cover Image -- Contents -- Foreword -- Preface -- Introduction -- PART ONE FOURTEEN ARGUMENTS AGAINST NUCLEAR POWER -- 1. The Impossibility of Speedy Deployment -- 2. Unaffordable Costs -- 3. Inefficient and Unreliable -- 4. Catastrophic Dangers: From Three Mile Island to Fukushima -- 5. Aging Reactors -- 6. Environmental Pollution: Water, Air, and Land -- 7. Damage to Indigenous Peoples -- 8. Earthquake Risks -- 9. Climate Change: Droughts, Floods and Solar Flares -- 10. Radioactive Wastes -- 11. The Decommissioning Dilemma -- 12. Proliferation Dangers -- 13. Reactors, War, and Terrorism -- 14. “New, Improved” Reactors Won’t Save Us -- PART TWO COVER-UPS AND CONSEQUENCES -- 15. Japan: Living with the Consequences -- 16. Why You Can’t Believe the Official Story -- 17. The Regulatory-Industrial Complex -- 18. Five of the Worst US Reactors -- 19. Near Misses and Unbelievable Mishaps -- PART THREE THE PATH FORWARD: BETTER OPTIONS EXIST -- Introduction -- 20. The Path Ahead -- 21. Efficiency: The “Fifth Fuel” -- 22. The Power of Renewables -- 23. Public Policy Reforms -- 24. Powering Down: The Conservation Imperative -- Conclusion -- Acknowledgments -- Notes -- False Solutions Publication Series -- About the Author. EBL201803 SzGeCERN Engineering BOOK Callenbach, Ernest Mander, Jerry https://cds.cern.ch/auth.py?r=EBLIB_P_5149117 ebook n 201811 21 PUBLIC BOOK DELETED 2308943 SzGeCERN 20210421205306.0 9781603580557 print version 9781603581486 electronic version electronic version oai:cds.cern.ch:2308943 cerncds:BOOK EBL 5149062 eng QA402 003 Meadows, Donella H Thinking in systems a primer White River Junction, VT Chelsea Green Publishing 2008 194 p ebook Cover Page -- Title Page -- Copyright Page -- Dedication -- Contents -- A Note from the Author -- A Note from the Editor -- Introduction: The Systems Lens -- Part One: System Structure and Behavior -- One. The Basics -- Two. A Brief Visit to the Systems Zoo -- Part Two: Systems and Us -- Three. Why Systems Work So Well -- Four. Why Systems Surprise Us -- Five. System Traps . . . and Opportunities -- Part Three: Creating Change—in Systems and in Our Philosophy -- Six. Leverage Points—Places to Intervene in a System -- Seven. Living in a World of Systems -- Appendix -- System Definitions: A Glossary -- Summary of Systems Principles -- Springing the System Traps -- Places to Intervene in a System -- Guidelines for Living in a World of Systems -- Model Equations -- Notes -- Bibliography of Systems Resources -- Editor’s Acknowledgments. In the years following her role as the lead author of the international bestseller, "Limits to Growth"-the first book to show the consequences of unchecked growth on a finite planet- Donella Meadows remained a pioneer of environmental and social analysis until her untimely death in 2001. Meadows' newly released manuscript, "Thinking in Systems", is a concise and crucial book offering insight for problem solving on scales ranging from the personal to the global. Edited by the Sustainability Institute's Diana Wright, this essential primer brings systems thinking out of the realm of computers and equations and into the tangible world, showing readers how to develop the systems-thinking skills that thought leaders across the globe consider critical for 21st-century life. Some of the biggest problems facing the world-war, hunger, poverty, and environmental degradation-are essentially system failures. They cannot be solved by fixing one piece in isolation from the others, because even seemingly minor details have enormous power to undermine the best efforts of too-narrow thinking. While readers will learn the conceptual tools and methods of systems thinking, the heart of the book is grander than methodology. Donella Meadows was known as much for nurturing positive outcomes as she was for delving into the science behind global dilemmas. She reminds readers to pay attention to what is important, not just what is quantifiable, to stay humble, and to stay a learner. In a world growing ever more complicated, crowded, and interdependent, "Thinking in Systems" helps readers avoid confusion and helplessness, the first step toward finding proactive and effective solutions. EBL201803 SzGeCERN Computing and Computers BOOK Wright, Diana https://cds.cern.ch/auth.py?r=EBLIB_P_5149062 ebook n 201811 21 PUBLIC https://catalogue.library.cern/legacy/2308943 BOOK MIGRATED 2308922 SzGeCERN 20200610213332.0 9781138033535 print version 9781315305936 electronic version electronic version oai:cds.cern.ch:2308922 cerncds:BOOK EBL 4911900 eng QD504 .S534 2018 536.7 Shah, Yatish T Thermal energy sources, recovery, and applications Milton CRC Press 2018 889 p ebook Sustainable energy strategies Cover -- Half Title -- Title Page -- Copyright Page -- Dedication Page -- Table of Contents -- Series Preface -- Preface -- About the Author -- Chapter 1: Basics of Macrothermal Energy -- 1.1 Introduction -- 1.2 Types of Heat -- 1.2.1 Sensible Heat -- 1.2.2 Latent Heat -- 1.2.2.1 Types of Latent Heat -- 1.2.2.2 Phase Transition -- 1.2.2.2.1 Boiling -- 1.2.2.2.2 Condensation -- 1.2.2.2.3 Melting -- 1.2.2.3 Latent Heat for Condensation of Water -- 1.2.3 Heat Associated with Physical and Chemical Processes (Bond Energy) -- 1.2.3.1 Heat Associated with Physical Processes -- 1.2.3.2 Heat Associated with Chemical Processes -- 1.3 Heat-Transfer Mechanisms -- 1.3.1 Conduction -- 1.3.1.1 Thermal Conductivity -- 1.3.2 Convection -- 1.3.3 Radiation -- 1.3.4 Insulation and Radiance Resistance -- 1.4 Laws of Thermodynamics -- 1.4.1 Zeroth Law -- 1.4.2 First Law -- 1.4.3 Second Law -- 1.4.4 Third Law -- 1.5 Energy Transformation—Heat Engine and Heat Pump -- 1.5.1 Release of Energy from Radioactive Potential -- 1.5.2 Release of Energy from Hydrogen Fusion Potential -- 1.5.3 Recovery of Underground Energy by Radioactive Decay -- 1.5.4 Heat Engines -- 1.5.4.1 External Combustion Engines -- 1.5.4.2 Internal Combustion Engines -- 1.5.5 Heat Engine Performance Enhancements -- 1.5.6 Heat Pumps and Refrigerators -- 1.6 Thermodynamic Cycles -- 1.6.1 Ideal Carnot Cycle -- 1.6.2 Heat and Work Relationship -- 1.6.3 State Functions and Entropy -- 1.6.4 Types of Power Cycles and Methods of Improvement -- 1.6.5 Specific Details of Some Power Cycles -- 1.6.5.1 Otto Cycle -- 1.6.5.2 Stirling Cycle -- 1.6.5.3 The Ericsson Cycle -- 1.6.5.4 The Rankine Cycle (Vapor Cycle) -- 1.6.5.5 The Stoddard Cycle -- 1.6.5.6 The Lenoir Cycle -- 1.6.5.7 The Atkinson Cycle -- 1.6.5.8 The Kalina Cycle -- 1.6.5.9 The Miller Cycle -- 1.6.5.10 The Diesel Cycle -- 1.6.5.11 The Brayton Cycle. 1.6.5.12 The Bell Coleman Cycle -- 1.6.5.13 The Scuderi Cycle -- 1.6.5.14 The Hygroscopic Cycle -- 1.6.6 Heat Pump and Refrigeration Cycles -- 1.6.6.1 Vapor-Compression Cycle -- 1.6.6.2 Vapor-Absorption Cycle -- 1.6.6.3 Gas Cycle -- 1.6.7 Modeling Real Systems -- 1.7 Combined Cycle Power Plants -- 1.7.1 Single-Shaft versus Multi-Shaft Options -- 1.7.2 Integrated Combined Cycles -- 1.8 Direct Conversion of Thermal Energy to Electrical Energy -- 1.8.1 Thermoelectric Generation -- 1.8.1.1 Brief Description of Concepts behind Thermoelectric Generation -- 1.8.1.1.1 Thermal Conductivity -- 1.8.1.1.2 Electrical Conductivity -- 1.8.1.1.3 State Density -- 1.8.1.1.4 Power Factor -- 1.8.1.1.5 Device Efficiency -- 1.8.1.1.6 Quality Factor -- 1.8.1.2 Thermoelectric Materials -- 1.8.1.3 Applications of Thermoelectric Generator -- 1.8.2 Thermoelectric Coolers -- 1.8.3 Thermophotovoltaics -- 1.8.3.1 Materials -- 1.8.3.2 Applications -- 1.8.4 Thermionic Generation -- 1.8.5 Thermogalvanic Cell -- 1.8.5.1 Aqueous Electrolytes Cell -- 1.8.5.2 Nonaqueous Electrolytes Cell -- 1.8.5.3 Molten Salts Cell -- 1.8.5.4 Solid Electrolytes Cell -- 1.9 Combined Heat and Power Generation-Cogeneration and Trigeneration -- 1.9.1 Microcombined Heat and Power -- 1.10 Sources of Thermal Energy -- References -- Chapter 2: Advances in Micro- and Nanolevel Thermal Processes, Materials, and Devices -- 2.1 Introduction -- 2.2 Microlevel Systems -- 2.3 Microstate Thermodynamics -- 2.3.1 Microscopic Definitions of Thermodynamic Concepts -- 2.3.1.1 Internal Energy -- 2.3.1.2 Entropy -- 2.3.1.3 Heat and Work -- 2.3.2 The Microstate in Phase Space -- 2.4 Microlevel Thermal Processes and Their Applications -- 2.4.1 Phase Change at Microscale -- 2.4.2 Thermal Bonding Processes at the Microscale -- 2.4.3 Microscale Heat Transfer in Field-Effect Transistors. 2.4.4 Multilayer Super Lattices for Giant Magneto Resistance Technology -- 2.5 Nanotechnology and Nanoscale Systems -- 2.5.1 Nanotechnology for Sustainable Energy Applications -- 2.6 Nanoscale Heat Transport -- 2.6.1 Heat Capacity -- 2.6.1.1 Electron Heat Capacity -- 2.6.1.2 Phonon Heat Capacity -- 2.6.1.2.1 Debye Model -- 2.6.1.2.2 Einstein Model -- 2.6.2 Heat Conduction -- 2.6.3 Convection -- 2.6.4 Radiation -- 2.7 Nanothermodynamics -- 2.7.1 Nanothermodynamics—Hill’s Theory -- 2.7.2 Nanothermodynamics—Rajgopal et al. Theory -- 2.8 Nanofluids -- 2.8.1 Why Nanofluids? -- 2.8.2 Synthesis and Preparation of Nanoparticles and Nanofluids -- 2.8.2.1 Stability of Nanofluids -- 2.8.3 Thermal Conductivity Enhancement in Nanofluids -- 2.8.3.1 Models for TC -- 2.8.4 Viscosity of Nanofluids -- 2.8.5 Convection in Nanofluids -- 2.8.6 Boiling in Nanofluids -- 2.8.7 Applications of Nanofluids -- 2.8.8 Future Directions for Nanofluids -- 2.9 Nanomaterial, Nanocomposites, and Their Thermal Applications -- 2.9.1 Nanomaterials -- 2.9.2 Nanoparticles -- 2.9.3 Nanocomposites -- 2.9.3.1 Ceramic–Matrix Nanocomposites -- 2.9.3.2 Metal–Matrix Nanocomposites -- 2.9.3.3 Polymer–Matrix Nanocomposites -- 2.9.4 Applications of Nanomaterials and Nanocomposites -- 2.9.4.1 Nanomaterials for Thermoelectric Operation -- 2.9.4.1.1 Phonon Scattering in Low-Dimensional Structures -- 2.9.4.1.2 Nanoalloys -- 2.9.4.1.3 Skutterudites and Clathrates -- 2.9.4.1.4 Half-Heusler, Silicides, and Oxides -- 2.9.4.1.5 Binary Materials -- 2.9.4.2 Nanomaterials for Thermophotovoltaic Cell -- 2.9.4.3 Use of Nanomaterials to Improve Thermogalvanic Cell -- 2.10 Novel Nanotechnologies and Devices Using Thermal Processes -- 2.10.1 Thermoelectric Coolers and Power Generators -- 2.10.2 Heterostructure Integrated Thermionic Refrigeration -- 2.10.3 Heat-Assisted Magnetic Recording. 2.10.4 Phase-Change Memory Technology -- 2.10.5 Heating and Cooling of Buildings and Vehicles -- 2.10.6 Heat-Assisted Nanomanufacturing -- 2.10.7 Nano-Tip for Heat-Assisted Data-Storage Devices -- 2.10.8 Nanothermal Transport for Medical Applications -- 2.10.9 Power Generation by Thermophotovoltaics -- 2.10.10 Nanoscale Thermal Processes for Microelectronic Devices -- References -- Chapter 3: Geothermal Heat -- 3.1 Introduction -- 3.2 The Potential of Geothermal Energy -- 3.2.1 Global Picture -- 3.3 Recovery of Near-Surface Geothermal Energy -- 3.3.1 Borehole Heat Exchangers -- 3.3.2 Geothermal Heat Collectors -- 3.3.3 Energy Piles -- 3.3.4 Groundwater -- 3.3.5 Heat Pump -- 3.4 Geothermal Heat Recovery by Hydrothermal Systems -- 3.4.1 Water-Dominated Fields -- 3.4.1.1 Hot-Water Fields -- 3.4.1.2 Wet-Steam Fields -- 3.4.2 Vapor-Dominated Fields -- 3.5 Recovery of Geothermal Energy from Abandoned Mines -- 3.6 Recovery of Geothermal Energy during Mining Process -- 3.6.1 Mining versus Geothermal Heat -- 3.6.1.1 Heat and Water Use -- 3.6.1.2 Cooccurrence of Geothermal and Mining Resources -- 3.6.1.3 Power Production/Supplementation for Remote Mines -- 3.6.1.4 Minerals Extraction from Geothermal Fluids -- 3.6.1.5 Examples of Cooccurrence of Geothermal Energy and Mineral Recovery -- 3.7 Enhanced Geothermal Systems for Recovery of Deep Geothermal Energy -- 3.7.1 Process -- 3.7.2 Benefits and Drawbacks of Enhanced Geothermal System -- 3.7.3 Projects for Enhanced Geothermal System Expansion -- 3.7.3.1 The Coso Geothermal Project -- 3.7.3.2 Geysers Project, California -- 3.8 Recovery of Geothermal Energy Using Oil and Gas Wells -- 3.9 Geothermal Energy from Geopressured Resources -- 3.9.1 Historical Perspectives of Gulf Coast Geopressured Sediments -- 3.9.2 Assessment of Recoverable Energy in Gulf Coast and Its Usages -- 3.10 Recovery of Magma Energy. 3.11 The Uses of Geothermal Energy -- 3.11.1 Direct Use of Geothermal Resources -- 3.11.1.1 Heating, Ventilation, and Air Conditioning System -- 3.11.1.2 Various Community District Heating Systems -- 3.11.1.3 Agriculture and Horticulture Industries -- 3.11.1.4 Geothermal Energy for Aqua Culture -- 3.11.1.4.1 Fish Drying in Reykjanes -- 3.11.1.5 Geothermal Energy for Various Industrial Processes -- 3.11.1.5.1 Geothermal Drying of Timber -- 3.11.1.5.2 Metal and Mineral Leaching -- 3.11.1.5.3 Nordursalt—A Means to Process Salt -- 3.11.1.5.4 Geothermal Laundry in Hveragerdi—Cleaning and Drying -- 3.11.2 Geothermal Heat for Power -- 3.12 Major Benefits of Geothermal Energy -- 3.13 Growth Potential and Sustainability of Geothermal Energy -- 3.13.1 Renewability and Sustainability of Geothermal Energy -- 3.14 Environmental Impacts of Geothermal Energy -- 3.15 Future Issues -- 3.15.1 Advances in Conversion Technology -- 3.15.2 Infrastructure Considerations -- 3.15.3 Legal Issues -- 3.15.4 Other Key Issues -- References -- Chapter 4: Fusion/Solar Heat -- 4.1 Introduction -- 4.1.1 Nuclear Fusion in Stars -- 4.1.2 Requirements for Fusion -- 4.2 Solar Energy -- 4.2.1 Potential -- 4.3 Solar Thermal Energy Collector and Applications -- 4.4 Solar Energy for Water (Liquid) Heating -- 4.4.1 Evacuated Tube Collectors -- 4.4.2 Flat Plate Collectors -- 4.4.3 Comparisons of Flat Plate with Evacuated Tube Collectors -- 4.4.4 Unglazed Liquid Collectors -- 4.5 Solar Thermal Energy for Heating, Ventilation, and Air Conditioning -- 4.5.1 HVAC System with Electrical Supplement -- 4.5.2 Solar A/C with Superheated Refrigerant -- 4.6 Solar Energy for Process Air Heating -- 4.6.1 Through-Pass Air Collector -- 4.6.2 Back, Front, and Combination Passage Air Collector -- 4.6.2.1 Glazed Systems -- 4.6.2.2 Unglazed Systems. 4.7 Solar Energy for High Temperature Industrial and Manufacturing Process Heating. EBL201803 Other Fields of Physics SzGeCERN EBL Renewable energy BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4911900 ebook n 201811 201803 21 PUBLIC BOOK DELETED 2308843 SzGeCERN 20200503231954.0 9780203977286 electronic version electronic version 9780415198875 print version oai:cds.cern.ch:2308843 cerncds:BOOK EBL 243301 eng QA276.12.W 519.5024333 Cook, Penny A Using statistics to understand the environment London Taylor and Francis 2000 245 p ebook Routledge introductions to environment environmental science Cover -- Using Statistics to Understand the Environment -- Copyright -- Contents -- Series Editors' Preface: Environmental Science titles -- Figures -- Tables -- Boxes -- Worked examples -- Acknowledgements -- Using this book -- 1 Project design -- Variables -- Populations, samples and individuals -- Observations and manipulations -- Sampling -- Block designs -- The block design in manipulative experiments -- Sampling people -- Questionnaire design -- Semi-structured and unstructured interviews -- Sample size -- Independence of data -- Sources of error -- Data types -- Data records -- Summary -- Questions -- 2 Describing data -- Descriptive statistics -- Frequency tables -- Frequency histograms -- Measures of central tendency -- Measuring variation of normally distributed data -- Reliability of the sample mean -- Measuring variation of ordinal or non-normal data -- Methods of presenting data -- Presenting measures of central tendency -- Presenting relationships between variables -- Cross-tabulation of data -- General guidelines for drawing graphs and charts -- Summary -- Questions -- 3 Using statistics to answer questions -- Hypothesis testing -- Statistical tests -- Transforming data -- Square root transformation -- Logarithmic transformation -- Other transformations to correct skewness -- Arcsine transformation -- Back-transformation of descriptive statistics -- Choosing a statistical test -- Summary -- Questions -- 4 Differences between two samples -- Unmatched comparisons -- t test -- Mann-Whitney U test -- Matched-pair tests -- Paired t test -- Wilcoxon matched-pairs test -- Summary -- Questions -- 5 Relationships between variables -- Correlations -- Pearson's product moment correlation coefficient -- Spearman's rank correlation coefficient -- Regression -- Testing the significance of the regression line. Using the regression equation as a predictive model -- Assumptions of simple linear regression -- Fitting a regression line through the origin -- Relationships between more than two variables -- Correlation matrix -- Multiple correlation -- Concordance -- Multiple regression and logistic regression -- Summary -- Questions -- 6 Analysing frequency data -- Associations between frequency distributions -- The special case of 2×2 contingency tables -- Goodness of fit against theoretical distributions -- The special case of two-category goodness of fit tests -- Goodness of fit against model distributions -- Assumptions of chi-square frequency analysis -- Fisher's exact test and G tests -- Testing for associations between more than two distributions -- Summary -- Questions -- 7 Differences between more than two samples -- Parametric one-way analysis of variance -- Testing for equality of variances -- Calculating the F statistic for ANOVA -- Multiple comparison tests with equal sample sizes: the Tukey test -- Multiple comparisons with unequal sample sizes: the Tukey-Kramer test -- Kruskal-Wallis one-way analysis of variance using ranks -- Multiple comparison tests with equal sample sizes: the Nemenyi test -- Multiple comparison tests with unequal sample sizes: Dunn's test -- Parametric two-way analysis of variance -- Interpretation of significant interactions -- Two-way ANOVA with single observations in each cell -- Two-way analysis of variance using ranks -- Friedman's matched group analysis of variance using ranks -- Testing specific hypotheses -- Other models of analysis of variance -- More than two independent variables -- Analysing Latin square designs -- Nested analysis of variance -- Analysis of covariance -- Multivariate analysis of variance -- Summary -- Questions -- Glossary -- Definitions of statistical terms -- Mathematical symbols. Appendix A: Basic mathematical methods and notation -- Appendix B: Using statistical software -- Appendix C: Further reading -- Selected texts -- Statistical tables -- Appendix D: Statistical tables -- Appendix E: Answers to exercises -- Chapter 1 -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5 -- Chapter 6 -- Chapter 7 -- References -- Key to commonly used statistical tests -- Index. Using Statistics to Understand the Environment covers all the basic tests required for environmental practicals and projects and points the way to the more advanced techniques that may be needed in more complex research designs. Following an introduction to project design, the book covers methods to describe data, to examine differences between samples, and to identify relationships and associations between variables.Featuring: worked examples covering a wide range of environmental topics, drawings and icons, chapter summaries, a glossary of statistical terms and a further reading section, this book focuses on the needs of the researcher rather than on the mathematics behind the tests. EBL201803 Mathematical Physics and Mathematics SzGeCERN BOOK Wheater, P https://cds.cern.ch/auth.py?r=EBLIB_P_243301 ebook n 201811 21 PUBLIC BOOK DELETED 2308839 SzGeCERN 20200503231954.0 9780203454220 electronic version electronic version 9780750703871 print version oai:cds.cern.ch:2308839 cerncds:BOOK EBL 178754 eng B809.13.G4 510.7 von Glasersfeld, Ernst Radical constructivism London Taylor and Francis 1995 230 p ebook Cover -- Radical Constructivism: A Way of Knowing and Learning -- Copyright -- Contents -- Preface by Series Editor -- Preface -- Acknowledgments -- List of Figures -- Chapter 1 Growing up Constructivist: Languages and Thoughtful People -- Which Language Tells It 'as It Is'? -- The Wrong Time in Vienna -- Growing Roots in Dublin -- Interdisciplinary Education -- A Close Look at Meanings -- The American Connection -- Introduction to Psychology -- Collaboration with a Chimpanzee -- Discovering Piaget -- From Mental Operations to the Construction of Reality -- A Decisive Friendship -- Teaching Experiments -- The Spreading of Constructivist Ideas -- Retirement and a New Beginning -- Support from Physics and Philosophy of Science -- Chapter 2 Unpopular Philosophical Ideas: A History in Quotations -- Objectivity Put in Question -- The Pre-Socratics -- Theological Insights -- Modern Science Widens The Rift -- A Failure and an Achievement of Descartes -- Locke's Forgotten Reflection -- The Exaggeration of the 'Blank Slate' -- A Reinterpretation of Berkeley -- Hume's Deconstruction of Conceptual Relations -- Bentham and Vico - Pioneers of Conceptual Analysis -- Kant's 'Transcendental Enterprise' -- A Re-assessment of Causality -- New Fuel for Instrumentalism -- Hypotheses and Fictions -- The Foundation of Language Analysis -- Conclusion -- Chapter 3 Piaget's Constructivist Theory of Knowing -- The Biological Premise -- Active Construction -- Beginnings -- The Construction of Experiential Reality -- Individual Identity -- Assimilation -- From Reflexes to Scheme Theory -- Accommodation -- The Concept of Equilibration -- Learning -- Different Types of Abstraction -- Stages of Development -- The Observer and the Observed -- Experience and Reality -- Conclusion -- Chapter 4 The Construction of Concepts -- Analysis of Operations -- The Concept of Change. The Concept of Motion -- Generating Individual Identity -- Space and Time -- Conclusion -- Chapter 5 Reflection and Abstraction -- Reflection -- Abstraction -- Generalization -- The Notion of Re-presentation -- Re-presenting Past Experiences -- Recognition -- The Need of an Agent -- Meaning as Re-presentation -- The Power of Symbols -- Piaget's Theory of Abstraction -- Form and Content -- Four Kinds of Abstraction -- The Question of Awareness -- Operational Awareness -- Conclusion -- Philosophical Postscript -- Chapter 6 Constructing Agents: The Self and Others -- The Illusion of Encoded Information -- The Reality of Experience -- Analysis of Empirical Construction -- The Question of Objectivity -- Corroboration by Others -- The Elusive Self -- The Notion of Environment -- The Perceived Self -- Sensory Clues -- Reflected Images -- The Social Self -- Conclusion -- Chapter 7 On Language, Meaning, and Communication -- The Semantic Basis -- Language Games -- The Construction of Meaning -- Language and Reality -- Theory of Communication -- How We May Come to Use Language -- To Understand Understanding -- Why Communication? Why Language? -- Chapter 8 The Cybernetic Connection -- Declaration of the American Society for Cybernetics -- Feedback, Induction, and Epistemology -- A Learning Mechanism -- Cognitive Development -- The Inductive Basis of Instrumental Learning -- Negative Feedback as 'Information' -- The Nature of Hypothetical Models -- Chapter 9 Units, Plurality and Number -- An Elusive Definition -- Things and Units -- Conception Rather than Perception -- The Attentional Model -- An Iteration of Pulses -- The Genesis of Plurality -- The Abstract Concept of Number -- The 'Pointing Power' of Symbols -- Mathematical Certainty -- Chapter 10 To Encourage Students' Conceptual Constructing -- What Is Our Goal? -- Teaching Rather than Training. Environmental Stimuli -- Reinforcement -- The Deceptive Character of Language -- The Orienting Function -- Perceptual Materials -- A Geometric Point -- The Need to Infer Students' Thinking -- Help Rather than Instruction -- Fostering Reflection -- The Secret of 'Social' Interaction -- A Final Point -- References -- Index of Names -- Subject Index. First Published in 1995. Routledge is an imprint of Taylor & Francis, an informa company. EBL201803 Mathematical Physics and Mathematics SzGeCERN EBL Constructivism (Philosophy) EBL Constructivism (Psychology) BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_178754 ebook n 201811 21 PUBLIC BOOK DELETED 2307115 SzGeCERN 20210421205346.0 9783319557076 print version 9783319557083 electronic version electronic version DOI 10.1007/978-3-319-55708-3 ebook oai:cds.cern.ch:2307115 cerncds:BOOK eng QA276-280 519.5 23 Classification, (big) data analysis and statistical learning Cham Springer 2018 ebook Studies in classification, data analysis, and knowledge organization 1431-8814 Rank Properties for Centred Three-way Arrays – C. Albers (Univ. of Groningen) et al -- Principal Component Analysis of Complex Data and Application to Climatology – S. Camiz (La Sapienza Univ. of Rome) et al -- Clustering upper level units in multilevel models for ordinal data – L. Grilli (Univ. of Florence) et al -- A Multilevel Heckman Model To Investigate Financial Assets Among Old People In Europe – O. Paccagnella (univ. of Padua) et al -- Multivariate stochastic downscaling with semicontinuous data – L. Paci (univ. of Bologna) et al -- Motivations and expectations of students’ mobility abroad: a mapping technique – V. Caviezel (Univ. of Bergamo) et al -- Comparing multi-step ahead forecasting functions for time series clustering – M. Corduas (Univ. of Naples Federico II) et al -- Electre Tri-Machine Learning Approach to the Record Linkage – V. Minnetti (La Sapienza Univ. of Rome) et al -- . MCA Based Community Detection – C. Drago (Univ. of Rome Niccolò Cusano) -- Classi fying social roles by network structures – S. Gozzo (univ. of Catania) et al -- Bayesian Networks For Financial Markets Signals Detection – A. Greppi (univ.of Pavia) et al -- Finite sample behaviour of MLE in network autocorrelation models – M. La Rocca (Univ. of Salerno) et al -- Classification Models as Tools of Bankruptcy Prediction – Polish Experience – J. Pochiecha (Cracow university) et al -- Clustering macroseismic fields by statistical data depth functions – C. Agostinelli (Univ. of Trento) -- Depth based tests for circular antipodal symmetry – G. Pandolfo (Univ. of Cassino) et al -- Estimating The Effect Of Prenatal Care On Birth Outcomes – E. Sironi (Sacro Cuore University) et al -- Bifurcations And Sunspots In Continuous Time Optimal Models With Externalities – B.Venturi (Univ. of Cagliari) et al -- Enhancing Big Data Exploration with Faceted Browsing – S. Bergamaschi (Univ. of Modena and Reggio Emilia) et al -- Big data meet pharmaceutical industry: an application on social media data – C. Liberati (Univ. of Milan Bicocca) et al -- From Big Data to information: statistical issues through a case study – S. Signorelli (Univ. of Bergamo) et al -- Quality of Classification approaches for the quantitative analysis of international conflict – A.F.X. Wilhelm (Jacobs Univ. Bremen) -- P-splines based clustering as a general framework: some applications using different clustering algorithms – C. Iorio (Univ. of Naples Federico II) et al -- A graphical copula-based tool for detecting tail dependence – R. Pappadà (univ. of Trieste) et al -- Comparing spatial and spatio-temporal FPCA to impute large continuous gaps in space – M. Ruggeri (Univ. of Palermo) et al -- Exploring Italian students’ performances in the SNV test: a quantile regression perspective – A. Costanzo (National Institute for the Evaluation of Education and Training – INVALSI) et al. . This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of data from different sources, as well as social networks. It covers both methodological aspects as well as applications to a wide range of areas such as economics, marketing, education, social sciences, medicine, environmental sciences and the pharmaceutical industry. In addition, it describes the basic features of the software behind the data analysis results, and provides links to the corresponding codes and data sets where necessary. This book is intended for researchers and practitioners who are interested in the latest developments and applications in the field. The peer-reviewed contributions were presented at the 10th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in Santa Margherita di Pula (Cagliari), Italy, October 8–10, 2015. Mathematics and statistics SPR201803 SzGeCERN Mathematical Physics and Mathematics SPR Data mining SPR Statistical Theory and Methods SPR Statistics and ComputingStatistics Programs SPR Statistics for BusinessEconomicsMathematical FinanceInsurance SPR Data Mining and Knowledge Discovery SPR Big Data BOOK Mola, Francesco ed. Conversano, Claudio ed. Vichi, Maurizio ed. SPR n 201810 201803 21 PUBLIC https://catalogue.library.cern/legacy/2307115 BOOK MIGRATED 2312969 SzGeCERN 20210421205116.0 9781613532355 print version 9781613532362 electronic version electronic version oai:cds.cern.ch:2312969 cerncds:BOOK EBL 5322546 eng 621.3848 Balleri, Alessio Biologically-inspired radar and sonar lessons from nature Stevenage Institution of Engineering & Technology 2017 272 p ebook Electromagnetics and radar Intro -- Contents -- About the editors -- Foreword -- 1. Introduction / Alessio Balleri, Hugh Griffiths and Chris Baker -- 1.1 Motivations -- 1.2 Scope of the book -- 2. Biosonar-inspired signal processing and acoustic imaging from echolocating bats / James A. Simmons, Jason E. Gaudette and Michaela Warnecke -- 2.1 Introduction -- 2.1.1 Engineered vs biological solutions to design -- 2.1.2 Varieties of biosonar -- 2.1.3 Technical challenges -- 2.2 Computational model of biosonar: spectrogram correlation and transformation (SCAT) receiver -- 2.2.1 Time–frequency representation in FM biosonar -- 2.2.2 Determination of echo delay – target range images -- 2.2.3 Incorporation of the echo spectrum – focused target-shape images on the range axis -- 2.2.4 Defocusing of images for suppressing clutter -- 2.3 Principles of biosonar imaging by SCAT -- Acknowledgements -- References -- 3. Enhanced range resolution: comparison with the matched filter / Krasin Georgiev, Alessio Balleri, Andy Stove and Marc W. Holderied -- 3.1 Introduction -- 3.2 Description of the spectrogram correlation and transformation model -- 3.2.1 Cochlear block -- 3.2.2 Temporal block -- 3.2.3 Spectral block -- 3.2.4 Model output -- 3.3 The baseband spectrogram transformation receiver -- 3.4 Response of the BSCT to two closely spaced ideal reflectors -- 3.4.1 Central lobe suppression -- 3.5 Experimental setup and data collection -- 3.5.1 General settings and equipment -- 3.5.2 Simulations -- 3.5.3 Phantom targets -- 3.5.4 Physical targets -- 3.6 Results -- 3.7 Conclusion -- References -- 4. Air-coupled sonar systems inspired by bat echolocation / James F.C. Windmill and Francesco Guarato -- 4.1 Introduction -- 4.2 What is a sonar system? -- 4.3 Bioinspired (biomimetic) design of sonar systems: emitters and receivers -- 4.3.1 Biomimetic emitters -- 4.3.2 Biomimetic receivers. 4.4 Bat-inspired sonar systems and localisation methods -- 4.4.1 Bat-inspired signal processing (cochlea models, discrimination of closely spaced objects and estimation of time delays using chirps, bat-inspired waveforms, target identification) -- 4.5 Conclusions -- References -- 5. Analysis of acoustic echoes from bat-pollinated plants / Alessio Balleri, Hugh Griffiths, Chris Baker and Marc Holderied -- 5.1 Introduction -- 5.2 Analysis of the signature of C. scandens corollas -- 5.3 Signature of C. scandens flowers -- 5.3.1 Power reflection as a potential cue -- 5.4 Analysis of a R. auriculatum inflorescence -- 5.5 Conclusion -- References -- 6. The biosonar arms race between bats and insects / Thomas R. Neil and Marc W. Holderied -- 6.1 Introduction -- 6.2 Bat biosonar -- 6.2.1 Implementing the sonar equation -- 6.2.2 Adaptive bat biosonar -- 6.3 Prey defences -- 6.3.1 Passive defences -- 6.3.2 Acoustic decoys -- 6.3.3 Active defences and ear evolution in insects -- 6.3.4 Active responses to ultrasound in moths -- 6.3.5 Defences in other insects -- 6.4 Bat countermeasure to insect defences -- 6.4.1 Allotonic frequency hypothesis -- 6.4.2 Stealth aerial hawking -- 6.5 Conclusion -- References -- 7. Biologically-inspired coordination of guidance and adaptive radiated waveform for interception and rendezvous problems / Alessio Balleri, Alfonso Farina and Alessio Benavoli -- 7.1 Introduction -- 7.2 Theoretical framework -- 7.2.1 Gaussian linear chirp -- 7.3 Two-dimensional case study -- 7.4 Simulation results -- 7.5 Conclusion -- References -- 8. Cognitive sensor/processor system framework for target tracking / Kristine L. Bell, Chris Baker, Graeme E. Smith, Joel T. Johnson and Muralidhar Rangaswamy -- 8.1 Introduction -- 8.2 Framework -- 8.2.1 Cognitive sensor/processor system framework -- 8.2.2 Cognitive single target tracking. 8.2.3 Cognitive MAP-PF single target tracking -- 8.2.4 Summary -- 8.3 Distributed sensor example -- 8.3.1 Model -- 8.3.2 Implementation -- 8.3.3 Simulation results -- 8.4 Software defined radar example -- 8.4.1 Model -- 8.4.2 Implementation -- 8.4.3 Collected data results -- 8.5 Conclusions -- 8.6 Appendix A: Bayesian Cramér–Rao lower Bound -- References -- 9. The biosonar of the Mediterranean Bottlenose dolphins: analysis and modelling of echolocation signals / Maria Greco and Fulvio Gini -- 9.1 Introduction -- 9.2 Data acquisition -- 9.2.1 The hydrophone -- 9.2.2 The amplifier -- 9.2.3 Digital card -- 9.3 Biosonar model -- 9.4 Signal estimation -- 9.4.1 Exponential pulse -- 9.4.2 Gaussian pulse -- 9.5 Estimation results -- 9.5.1 Exponential pulse -- 9.5.2 Gaussian pulse -- 9.5.3 Audio band -- 9.6 Conclusions -- References -- 10. Human echolocation – spatial resolution and signal properties / Liam Norman and Lore Thaler -- 10.1 Introduction and background -- 10.2 Acoustic properties of human sonar emissions -- 10.3 Environmental factors -- 10.4 Localising objects in space -- 10.4.1 Localising objects in depth (ranging): signal properties -- 10.4.2 Localising objects in depth (ranging): spatial resolution of human echolocators -- 10.4.3 Localising objects in the horizontal plane (azimuth): signal properties -- 10.4.4 Localising objects in the horizontal plane: spatial resolution of human echolocators -- 10.4.5 Localising objects in the vertical plane (elevation) -- 10.5 Discriminating object size, shape and material -- 10.6 Concluding comments and future directions -- References -- 11. Polarization tensors and object recognition in weakly electric fish / William R.B. Lionheart and Taufiq K. Ahmad Khairuddin -- 11.1 Electrosensing in fish and electrical imaging by humans -- 11.2 Algorithms for electrical imaging -- 11.3 Polarization tensors. 11.4 Generalized polarization tensor -- 11.5 The second rank polarization tensor -- 11.6 PT in electrosensing fish -- 11.7 PT in metal detection by human technology -- 11.8 Conclusions -- References -- Postscript -- Index. This book presents some of the recent work that has been carried out to investigate how sophisticated sensing techniques used in nature can be applied to radar and sonar systems to improve their performance. EBL201804 Engineering SzGeCERN BOOK Griffiths, Hugh Baker, Chris https://cds.cern.ch/auth.py?r=EBLIB_P_5322546 ebook n 201814 201804 21 PUBLIC https://catalogue.library.cern/legacy/2312969 BOOK MIGRATED 2312924 SzGeCERN 20200503231956.0 9781466565661 electronic version electronic version 9781578087358 print version oai:cds.cern.ch:2312924 cerncds:BOOK EBL 5320076 eng R857.B54.B5523 2012 610.28 Preedy, Victor R Biosensors and environmental health Boca Raton, FL Chapman and Hall/CRC 2012 383 p ebook Front Cover -- Contents -- Preface -- List of Contributors -- 1. Immunochips for Personal Toxicity Testing -- 2. Detection of Pesticide Residues Using Biosensors -- 3. Biosensors for Ecotoxicity of Xenobiotics: A Focus on Soil and Risk Assessment -- 4. Biosensor-controlled Degradation of Organophosphate Insecticides in Water -- 5. Biosensors for Endocrine Disruptors: The Case of Bisphenol A and Catechol -- 6. Biosensors for Detection of Heavy Metals -- 7. Whole Cell Biosensors: Applications to Environmental Health -- 8. Bacterial Whole Cell Bioreporters in Environmental Health -- 9. Environmental Toxicology Monitoring with Polyazetidine-based Enzymatic Electrochemical Biosensors -- 10. Polycyclic Aromatic Hydrocarbon (PAH) Sensitive Bacterial Biosensors in Environmental Health -- 11. Quorum Sensing in Microbial Biosensors -- 12. Biosensors Based on Immobilization of Proteins in Supramolecular Assemblies for the Detection of Environmental Relevant Analytes -- 13. Nanogravimetric and Voltammetric DNA-Biosensors for Screening of Herbicides and Pesticides -- 14. Nitrate Determination by Amperometric Biosensors: Applications to Environmental Health -- 15. Antibody-based Biosensors for Small Environmental Pollutants: Focusing on PAHs -- 16. Exoelectrogens-based Electrochemical Biosensor for Environmental Monitoring -- 17. Detecting Waterborne Parasites Using Piezoelectric Cantilever Biosensors -- 18. Bioluminescence-based Biosensor for Food Contamination -- About the Editors -- Color Plate Section. EBL201804 Health Physics and Radiation Effects SzGeCERN BOOK Patel, Vinood https://cds.cern.ch/auth.py?r=EBLIB_P_5320076 ebook n 201814 21 PUBLIC BOOK DELETED 2312812 SzGeCERN 20180515232355.0 9780081007136 (electronic bk.) electronic version 9780081007082 electronic version EBL 5287273 eng TP359.H8 .S746 2018 621.312429 Sørensen, Bent Hydrogen and fuel cells emerging technologies and applications 3rd ed. Saint Louis, MO Elsevier Science & Technology 2018 524 p Front Cover -- Hydrogen and Fuel Cells: Emerging Technologies and Applications -- Copyright -- Contents -- Preface -- Preface to second edition -- Preface to first edition -- Units and conversion factors -- Chapter 1: Introduction -- 1.1. Possible role of fuel cells and hydrogen -- References -- Chapter 2: Hydrogen -- 2.1. Production of hydrogen -- 2.1.1. Steam reforming -- 2.1.2. Partial oxidation, autothermal and dry reforming -- 2.1.3. Water electrolysis: reverse fuel cell operation -- 2.1.4. Gasification and woody biomass conversion -- 2.1.5. Biological hydrogen production -- 2.1.5.1. Photosynthesis -- 2.1.5.2. Bio-hydrogen production pathways -- 2.1.5.3. Hydrogen production by purple bacteria -- 2.1.5.4. Fermentation and other processes in the dark -- 2.1.5.5. Industrial-scale production of bio-hydrogen -- 2.1.6. Photodissociation -- 2.1.7. Direct thermal or catalytic splitting of water -- 2.2. Issues related to scale of production -- 2.2.1. Centralised hydrogen production -- 2.2.2. Distributed hydrogen production -- 2.2.3. Vehicle on-board fuel reforming -- 2.2.3.1. Production of methanol -- 2.2.3.2. Methanol-to-hydrogen conversion -- 2.3. Hydrogen storage options -- 2.3.1. Compressed gas storage -- 2.3.2. Liquid hydrogen storage -- 2.3.3. Hydride storage -- 2.3.3.1. Chemical thermodynamics -- 2.3.3.2. Metal hydrides -- 2.3.3.3. Complex hydrides -- 2.3.3.4. Modelling metal hydrides -- 2.3.4. Cryo-adsorbed gas storage -- 2.3.5. Other chemical storage options -- 2.3.6. Comparing storage options -- 2.4. Hydrogen transmission -- 2.4.1. Container transport -- 2.4.2. Pipeline transport -- 2.5. Hydrogen conversion overview -- 2.5.1. Uses as an energy carrier -- 2.5.2. Uses as an energy storage medium -- 2.5.3. Combustion uses in vehicles -- 2.5.4. Stationary hydrogen and fuel cell uses -- 2.5.5. Fuel cell uses for transportation. 2.5.6. Direct uses -- 2.6. Problems and discussion topics -- References -- Chapter 3: Fuel cells -- 3.1. Basic concepts -- 3.1.1. Electrochemistry and thermodynamics of fuel cells -- 3.1.1.1. Electrochemical device definitions -- 3.1.1.2. Fuel cells -- 3.1.2. Modelling aspects -- 3.1.3. Quantum chemistry approaches -- 3.1.3.1. Hartree-Fock approximation -- 3.1.3.2. Basis sets and molecular orbitals -- 3.1.3.3. Higher interactions and excited states: Møller-Plesset perturbation theory or density function phenomenological ... -- 3.1.4. Application to water splitting or fuel cell performance at a metal surface -- 3.1.5. Flow and diffusion modelling -- 3.1.6. The temperature factor -- 3.2. Molten carbonate fuel cells -- 3.3. Solid oxide fuel cells -- 3.4. Acid and alkaline fuel cells -- 3.5. Proton exchange membrane fuel cells -- 3.5.1. Current-collectors and gas delivery system -- 3.5.2. Gas diffusion layers -- 3.5.3. Membrane layer -- 3.5.4. Catalyst action -- 3.5.5. Overall performance -- 3.5.6. High-temperature and reverse operation -- 3.5.7. Degradation and lifetime -- 3.6. Direct methanol and other nonhydrogen fuel cells -- 3.7. Biofuel cells -- 3.8. Problems and discussion topics -- References -- Chapter 4: Fuel cell systems -- 4.1. Passenger cars -- 4.1.1. Overall system options for passenger cars -- 4.1.2. PEMFC and battery-fuel cell hybrid cars -- 4.1.3. Performance simulation -- 4.2. Other road vehicles -- 4.3. Ships, trains, and airplanes -- 4.4. Power plants and stand-alone systems -- 4.5. Building-integrated systems -- 4.6. Portable and other small-scale systems -- 4.7. Problems and discussion topics -- References -- Chapter 5: Implementation scenarios -- 5.1. Infrastructure requirements -- 5.1.1. Storage infrastructure -- 5.1.2. Transmission infrastructure -- 5.1.3. Local distribution -- 5.1.4. Filling stations. 5.1.5. Building-integrated concepts -- 5.2. Safety and norm issues -- 5.2.1. Safety concerns -- 5.2.2. Safety requirements -- 5.2.3. National and international standards -- 5.3. Scenarios based on fossil energy -- 5.3.1. Scenario techniques and demand modelling -- 5.3.2. Global clean fossil scenario -- 5.3.2.1. Clean fossil technologies -- 5.3.2.2. Fossil resource considerations -- 5.3.2.3. The fossil scenario -- 5.3.2.4. Evaluation of the clean fossil scenario -- 5.4. Scenarios based on nuclear energy -- 5.4.1. History and present concerns -- 5.4.2. Safe nuclear technologies -- 5.4.2.1. Inherently safe designs -- 5.4.2.2. Technical details of energy amplifier -- 5.4.2.3. Nuclear resources assessment -- 5.4.2.4. Safe nuclear scenario construction -- 5.4.2.5. Evaluation of the safe nuclear scenario -- 5.5. Scenarios based on renewable energy -- 5.5.1. Global renewable energy scenarios -- 5.5.2. Detailed national renewable energy scenario -- 5.5.2.1. Danish energy demand in 2050 -- 5.5.2.2. Available renewable resources -- 5.5.2.3. Construction of 2050 scenarios for Denmark -- Centralised scenario -- Decentralised scenario -- 5.5.2.4. Assessment of renewable energy scenarios -- 5.5.3. New regional scenarios -- 5.5.4. The British Isles -- 5.5.4.1. Energy demand of British Island regions -- 5.5.4.2. Potential energy supply for the British Island regions -- 5.5.4.3. 2050 scenario for the British Isles -- 5.6. Problems and discussion topics -- References -- Chapter 6: Social implications -- 6.1. Cost expectations -- 6.1.1. Hydrogen production costs -- 6.1.2. Fuel cell costs -- 6.1.3. Hydrogen storage costs -- 6.1.4. Infrastructure costs -- 6.1.5. System costs -- 6.2. Life-cycle analysis of environmental and social impacts -- 6.2.1. Purpose and methodology of life-cycle analysis -- 6.2.2. Life-cycle analysis of hydrogen production. 6.2.2.1. Conventional production by steam reforming -- 6.2.2.2. Production by electrolysis -- 6.2.2.3. Direct bio-production of hydrogen from cyanobacteria or algae -- Impacts from use of genetically engineered organisms -- 6.2.2.4. Hydrogen from fermentation of biomass -- 6.2.3. Life-cycle analysis of fuel cells -- 6.2.3.1. SOFCs and MCFCs -- 6.2.3.2. PEMFCs -- 6.2.4. Life-cycle comparison of conventional passenger car and passenger car with fuel cells -- 6.2.4.1. Environmental impact analysis -- 6.2.4.2. Social and economic impact analysis -- 6.2.4.3. Overall assessment -- 6.2.5. Life-cycle assessment of other vehicles for transportation -- 6.2.6. Life-cycle assessment of hydrogen storage and infrastructure -- 6.2.7. Life-cycle assessment of hydrogen systems -- 6.3. Uncertainties -- 6.4. Problems and discussion topics -- References -- Chapter 7: Conclusion: A conditional outcome -- 7.1. Opportunities -- 7.2. Obstacles -- 7.3. The competition -- 7.4. The way forward -- 7.4.1. Hydrogen storage in renewable energy systems -- 7.4.2. Fuel cell vehicles -- 7.4.3. Building-integrated fuel cells -- 7.4.4. Fuel cells in portable equipment -- 7.4.5. Fuel cells in centralised power production -- 7.4.6. Efficiency considerations -- 7.5. How much time do we have? -- 7.6 . The end and a beginning -- References -- Index -- Back Cover. Spazzafumo, Giuseppe 9780081007082 print version oai:cds.cern.ch:2312812 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5287273 ebook ebook EBL Fuel cells EBL201804 Engineering SzGeCERN BOOK n 201814 201804 21 PUBLIC BOOK DELETED 2312799 SzGeCERN 20200610213333.0 9781482298697 print version 9781482298703 electronic version electronic version oai:cds.cern.ch:2312799 cerncds:BOOK EBL 5264121 eng TK5103.2 .Y8 2018 004.601 Yu, Jiguo Hierarchical topology control for wireless networks theory, algorithms, and simulation Milton CRC Press 2018 452 p ebook Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- Authors -- 1 Wireless Networks -- 1.1 Introduction -- 1.1.1 Introduction to Wireless Networks -- 1.1.1.1 Development History of Wireless Networks -- 1.1.1.2 Standards for Wireless Networks -- 1.1.2 Classification of Wireless Networks -- 1.2 Wireless Ad Hoc Network -- 1.2.1 Introduction to Wireless Ad Hoc Networks -- 1.2.2 Characteristics of Ad Hoc Networks -- 1.2.3 The Structure of the Nodes in Ad Hoc Networks -- 1.2.4 The Architecture of Ad Hoc Networks -- 1.2.5 The Application of Ad Hoc Networks -- 1.3 Wireless Sensor Network -- 1.3.1 Introduction to the WSN -- 1.3.2 The Structure of Nodes in WSNs -- 1.3.3 The Architecture of WSNs -- 1.3.4 Technologies of WSNs -- 1.3.5 Applications of the WSN -- 1.3.5.1 Military Application -- 1.3.5.2 Agricultural Application -- 1.3.5.3 Industrial Application -- 1.3.5.4 Environmental Observation and Forecasting System -- 1.3.5.5 Building Condition Monitoring -- 1.3.5.6 Medical Nursing -- 1.3.5.7 Smart Home -- 1.3.5.8 Space and Ocean Exploration -- 1.3.6 Characteristics and Challenges of WSNs -- References -- 2 Topology Control of Wireless Networks -- 2.1 Introduction of Topology Control -- 2.2 The Classification of Topology Control -- 2.2.1 Power Control -- 2.2.1.1 Minimize the Maximum Transmit Power -- 2.2.1.2 Common Power Allocation -- 2.2.1.3 Direction-Based Power Control -- 2.2.1.4 Power Control Based on Node Degree -- 2.2.1.5 Power Control Based on Proximity Graph -- 2.2.2 Hierarchical Topology Control -- References -- 3 Clustering Algorithms -- 3.1 Clustering Routing Protocols in Wireless Ad Hoc Networks -- 3.1.1 Outline -- 3.1.2 Classic Clustering Algorithms in Wireless Ad Hoc Networks -- 3.1.2.1 Minimum ID Clustering Algorithm -- 3.1.2.2 Maximum Degree Clustering Algorithm. 3.1.2.3 Motion-Based Clustering Algorithm -- 3.1.2.4 Weight-Based Clustering Algorithm -- 3.1.2.5 Clustering Algorithm Based on Geographical Location -- 3.2 Clustering Routing Protocol in a WSN -- 3.2.1 Outline -- 3.2.2 The Advantages and Goals of Clustering Algorithms -- 3.2.3 The Classification of Clustering Algorithms -- 3.2.3.1 The Characteristics of Clusters -- 3.2.3.2 The Characteristics of Cluster Heads -- 3.2.3.3 The Process of Clustering -- 3.2.3.4 The Whole Process of the Algorithms -- 3.2.4 Classic Clustering Algorithms and Related Works in WSNs -- 3.2.4.1 LEACH -- 3.2.4.2 Centralized and Hybrid Clustering Algorithms (LEACH-C) -- 3.2.4.3 Iterative Clustering Algorithms -- 3.2.4.4 Chain Clustering Algorithms (PEGASIS) -- 3.2.4.5 Energy Heterogeneous Clustering Algorithms -- 3.2.4.6 Self-Adaptive Clustering Algorithms -- 3.2.4.7 Uneven Clustering Algorithms -- 3.2.4.8 Energy-Driven Clustering Algorithms -- 3.2.4.9 Grid Clustering Algorithms -- 3.2.4.10 Responsive Hybrid Clustering Algorithms -- 3.2.4.11 Multilayer Clustering Algorithms -- 3.2.4.12 Clustering Algorithms Based on Fuzzy Logic Control -- 3.2.4.13 Other Clustering Algorithms -- Bibliography -- 4 Dominating Set Theory and Algorithms -- 4.1 Basic Concept and Models of the Dominating Set -- 4.1.1 Basic Concept -- 4.1.2 Network Model -- 4.1.2.1 Unit Disk Graph -- 4.1.2.2 Quasi Unit Disk Graph -- 4.1.2.3 Unit Ball Graph -- 4.2 The Function of the Dominating Set -- 4.3 The Classification of Dominating Set Algorithms -- 4.3.1 The Maximal Independent Set Algorithm -- 4.3.1.1 Related Works of MIS -- 4.3.1.2 Classical MIS Algorithm -- 4.3.2 Minimum Connected Dominating Set -- 4.3.2.1 Related Works of the Minimum Connected Dominating Set -- 4.3.2.2 MCDS Distributed Algorithms with Good Performance -- 4.3.3 Weakly Connected Dominating Sets. 4.3.3.1 The Related Works of Weakly Connected Dominating Sets -- 4.3.3.2 The Distributed WCDS Algorithm -- 4.3.4 Extended Weakly Dominating Sets -- 4.3.4.1 Classical Extended Dominating Set Algorithm -- 4.3.4.2 Three Novel EWCDS Algorithms -- 4.3.5 The Edge Dominating Set -- 4.3.5.1 Related Works of the Edge Dominating Set -- 4.3.5.2 The Classical Edge Dominating Set Algorithm -- 4.3.6 The Dominating Set Algorithm under the Mobile Model -- 4.3.6.1 The Introduction of a Mobile Model -- 4.3.6.2 DETM-CDS -- 4.3.7 The Dominating Set Algorithm under the Interference Model -- 4.3.7.1 The Physical Interference Model -- 4.3.7.2 The Protocol Interference Model -- 4.3.7.3 The Dominating Set Construction Algorithm Based on Interference -- 4.3.8 k-Dominating Set -- 4.3.8.1 k-Dominating Set and k-Connected Dominating Set -- 4.3.8.2 The k-Connected m-Dominating Set -- 4.3.9 Domatic Partition -- 4.3.9.1 The Research Meaning of Domatic Partition -- 4.3.9.2 The Definition and Classification of the Domatic Partition Problem -- 4.3.9.3 Domatic Partition on the Special Graph in Graph Theory -- 4.3.9.4 The Research Status of Domatic Partition Problem -- 4.3.9.5 k-Domatic Partition -- 4.3.9.6 Public Problems -- 4.4 Distributed Algorithm in the Wireless Network -- 4.4.1 Introduction -- 4.4.2 The Distributed Algorithm -- 4.4.2.1 The Classic Problem in the Distributed Computing-Maximal Independent Set Problem -- 4.4.2.2 Finding a Fast Distributed Maximal Independent Set Algorithm -- 4.4.2.3 Local Algorithms -- 4.4.3 Conclusion -- Bibliography -- 5 Simulation and Example -- 5.1 Simulation -- 5.1.1 Computer Simulation Technology -- 5.1.2 Simulation Tools of Wireless Networks -- 5.2 Simulation Based on NS2 and Examples -- 5.2.1 Introduction to NS2 -- 5.2.2 Characteristics and Structure of NS2 -- 5.2.2.1 Characteristics of NS2 -- 5.2.2.2 The Hierarchical Structure of NS2. 5.2.3 The General Methods and Processes of NS2 Simulation -- 5.2.4 Installation of NS2 -- 5.2.5 LEACH Protocol and Its Simulation Process -- 5.2.5.1 The Details of the LEACH Algorithm -- 5.2.5.2 The Installation of the LEACH Protocol -- 5.2.5.3 Simulation of LEACH Protocol -- 5.2.6 The EDUC Simulation Example -- 5.2.7 EADC Simulation Examples -- 5.2.7.1 Cluster Head Distribution -- 5.2.7.2 Network Lifetime -- 5.3 Simulation and Example Based on C++ -- 5.3.1 Introduction to VC++ -- 5.3.2 The Development Environment of VC++ -- 5.3.2.1 VC++ 6.0 -- 5.3.2.2 VS2005 -- 5.3.3 Simulation Example of the EWCDS Algorithm -- 5.3.3.1 Simulation Results -- 5.3.3.2 The Specific Implementation Process of Simulation -- 5.4 Simulation and Example Based on Java -- 5.4.1 Introduction to Java -- 5.4.1.1 Download and installation of the Java Development Kit package -- 5.4.2 Simulation Example of the EDCDS Algorithm -- 5.4.2.1 Algorithm Description -- 5.4.2.2 Simulation Analysis and Results -- Bibliography -- Index. EBL201804 Computing and Computers SzGeCERN EBL Computer network architectures BOOK Xiuzhen, Cheng Honglu, Jiang Yu, Dongxiao https://cds.cern.ch/auth.py?r=EBLIB_P_5264121 ebook n 201814 201804 21 PUBLIC BOOK DELETED 2312771 SzGeCERN 20190321204923.0 9780128136447 (electronic bk.) electronic version electronic version 9780128136430 9780128136430 print version oai:cds.cern.ch:2312771 cerncds:BOOK EBL 5248393 eng 541.38 Konya, Jozsef Nuclear and radiochemistry 2nd ed. San Diego, CA Elsevier 2018 482 p ebook Intro -- Title page -- Table of Contents -- Copyright -- Preface -- Chapter 1. Introduction -- Abstract -- Further Reading -- Chapter 2. Basic Concepts -- Abstract -- 2.1 Atomic Nuclei -- 2.2 Forces in the Nucleus -- 2.3 Other Properties of Nuclei -- 2.4 Elementary or Composite Particles -- 2.5 Models of Nuclei -- Further Reading -- Chapter 3. Isotopes -- Abstract -- 3.1 Isotopic Effects -- 3.2 Separation of Isotopes -- 3.3 Isotope Composition in Nature -- 3.4 Study of Geological Formations and Processes by Stable Isotope Ratios -- Further Reading -- Chapter 4. Radioactive Decay -- Abstract -- 4.1 Kinetics of Radioactive Decay -- 4.2 Radioactive Decay Series -- 4.3 Radioactive Dating -- 4.4 Mechanism of Radioactive Decay -- Further Reading -- Chapter 5. Interaction of Radiation With Matter -- Abstract -- 5.1 Basic Concepts -- 5.2 Interaction of Alpha Particles With Matter -- 5.3 Interaction of Beta Radiation With Matter -- 5.4 Interaction of Gamma Radiation With Matter -- 5.5 Interaction of Neutrons With Matter -- Further Reading -- Chapter 6. Nuclear Reactions -- Abstract -- 6.1 Kinetics of Nuclear Reactions -- 6.2 Classification of Nuclear Reactions -- 6.3 General Scheme of Radionuclide Production by Nuclear Reactions and Radioactive Decay -- 6.4 Chemical Effects of Nuclear Reactions -- Further Reading -- Chapter 7. Nuclear Energy Production -- Abstract -- 7.1 Nuclear Power Plants -- 7.2 Accidents in Nuclear Power Plants -- 7.3 Storage and Treatment of Spent Fuel and Other Radioactive Waste -- 7.4 New Trends in Nuclear Energy Production -- 7.5 Nuclear Weapons -- Further Reading -- Chapter 8. Radioactive Tracer Methods -- Abstract -- 8.1 History of Radioactive Tracer Methods -- 8.2 Basic Concepts -- 8.3 Selection of Tracers -- 8.4 Position of the Labeling Atom in a Molecule -- 8.5 General Methods for the Preparation of Radioactive Tracers. 8.6 Radioactive Isotopes in Tracer Methods -- 8.7 The Main Steps of the Production of Unsealed Radioactive Preparations (Lajos Baranyai) -- 8.8 Production of Encapsulated Radioactive Preparations (Sealed Sources) (Lajos Baranyai) -- 8.9 Facilities, Equipment, and Tools Serving for Production of Radioactive Substances (Lajos Baranyai) -- Further Reading -- Chapter 9. Physicochemical Application of Radiotracer Methods -- Abstract -- 9.1 The Thermodynamic Concept of Classification (Distribution of Radioactive and Stable Isotopes) -- 9.2 Classification of Tracer Methods -- 9.3 Physicochemical Applications of Tracer Methods -- Further Reading -- Chapter 10. Radio- and Nuclear Analysis -- Abstract -- 10.1 Radioactive Isotopes as Tracers -- 10.2 Radioanalytical Methods Using the Interaction of Radiation with Matter -- Further Reading -- Chapter 11. Industrial Application of Radioisotopes -- Abstract -- 11.1 Introduction -- 11.2 Tracer Investigations With Open/Unsealed Radioisotopes -- 11.3 Absorption and Scattering Measurements With Sealed Radioactive Sources -- Further Reading -- Chapter 12. An Introduction to Nuclear Medicine -- Abstract -- 12.1 Fields of Nuclear Medicine -- 12.2 The Role and Aspects of Applying Radiotracers in Medicine -- 12.3 In Vitro Diagnostics with Radioisotopes -- 12.4 Radionuclide Imaging -- 12.5 Some Examples of Gamma Camera Imaging Procedures -- 12.6 Positron Emission Tomography -- Further Reading -- Chapter 13. Environmental Radioactivity -- Abstract -- 13.1 Natural Radioactive Isotopes -- 13.2 Radioactive Isotopes of Anthropogenic Origin -- 13.3 Occurrence of Radioactive Isotopes in the Environment -- 13.4 Biological Effects of Radiation -- Further Reading -- Chapter 14. Detection and Measurement of Radioactivity -- Abstract -- 14.1 Gas-Filled Tubes -- 14.2 Scintillation Detectors -- 14.3 Semiconductor Detectors. 14.4 Electric Circuits Connected to Detectors -- 14.5 Track and Other Detectors -- 14.6 Absolute Measurement of Decomposition -- 14.7 Statistics of Radioactive Decay -- Further Reading -- Index. EBL201804 SzGeCERN Chemical Physics and Chemistry BOOK Nagy, Noémi M 1st ed. 2012 1615662 https://cds.cern.ch/auth.py?r=EBLIB_P_5248393 ebook 201804 n 201814 21 PUBLIC BOOK DELETED 2312733 SzGeCERN 20200610213333.0 9781138027213 print version 9781317562573 electronic version electronic version oai:cds.cern.ch:2312733 cerncds:BOOK EBL 4943923 eng TD345.G468 2018 621.44 Bundschuh, Jochen Geothermal water management London Chapman and Hall/CRC 2017 462 p ebook Sustainable water developments - resources, management, treatment, efficiency and reuse Cover -- Half Title -- Title Page -- About the book series -- Editorial board -- Table of contents -- List of contributors -- Editors’ foreword -- About the editors -- Acknowledgements -- Section I Resources, geochemical properties and environmental implications of geothermal water -- 1. A global assessment of geothermal resources -- 1.1 Introduction -- 1.2 Definitions and classification of geothermal resources -- 1.2.1 Definitions of geothermal energy and geothermal resources -- 1.2.2 Classification of geothermal resources -- 1.3 Methods of regional assessment of geothermal resources -- 1.3.1 Volume method of resource assessment -- 1.3.2 Economic evaluation of hydrogeothermal aquifers -- 1.4 New concepts of geothermal resources classification -- 1.5 Results of geothermal resources assessment -- 1.5.1 World geothermal resources -- 1.5.2 European geothermal resources -- 1.5.3 Polish geothermal resources -- 2. Reinjection of cooled water back into a reservoir -- 2.1 Introduction -- 2.2 Mathematical model for assessing the conditions for injecting water into a rock formation -- 2.2.1 Estimation of power and energy demand associated with reinjection -- 2.2.2 Estimation of required pressure for reinjection -- 2.2.3 Heat transfer between saline water and the geological medium in the vicinity of the absorption well -- 2.3 Injection of saline water into rock formation -- 2.3.1 Parameters of water and borehole construction -- 2.3.2 Dynamics of the clogging process in the active area -- 2.4 Summary -- 3. Geothermal and hydrogeological conditions, geochemical properties and uses of geothermal waters of the Slovakia -- 3.1 Introduction -- 3.2 Geological structure -- 3.2.1 Inner Carpathians -- 3.2.2 Outer Carpathians -- 3.3 Characteristics of geothermal bodies -- 3.4 Geothermal waters’ chemical composition. 3.5 Abstraction and thermal energy potential of geothermal waters -- 4. Resources, geochemical features and environmental implications of the geothermal waters in the continental rift zone of the Büyük Menderes, Western Anatolia, Turkey -- 4.1 Introduction -- 4.2 Geologic setting -- 4.3 Hydrogeology and hydrogeochemistry -- 4.3.1 Hydrogeology -- 4.3.2 Hydrogeochemistry -- 4.3.3 Isotope geochemistry -- 4.4 Resources and geothermal potential -- 4.4.1 Kızıldere -- 4.4.2 Salavatlı -- 4.4.3 Germencik -- 4.4.4 Other geothermal reservoirs -- 4.5 Environmental implications -- 4.5.1 Water quality and use -- 4.5.2 Air emissions -- 4.5.3 Land use -- 4.5.4 Life-cycle global warming emissions -- 4.6 Model of the geothermal waters in the rift zone of the Büyük Menderes -- Section II Treatment of geothermal water for reuse -- 5. Analytical procedures for ion quantification supporting water treatment processes -- 5.1 Introduction -- 5.2 Groundwater sampling -- 5.3 Quality assurance/quality control (QA/QC) program -- 5.3.1 Laboratory QA/QC program -- 5.3.2 Field QA/QC program -- 5.4 QA/QC program in geothermal water monitoring – the case of Bańska PGP-1 well (Bańska Niżna, Poland) -- 5.4.1 Characteristics of the study object -- 5.4.2 Laboratory QA/QC program -- 5.4.3 Field QA/QC program -- 5.5 Summary -- 6. Treatment of geothermal waters for industrial and agricultural purposes -- 6.1 Introduction -- 6.2 Geothermal potential of Turkey -- 6.3 Main utilization areas of geothermal energy -- 6.4 Environmental issues -- 6.5 Chemistry of geothermal fluids -- 6.5.1 Toxic elements in geothermal water -- 6.5.1.1 Arsenic -- 6.5.1.2 Boron -- 6.5.1.3 Mercury -- 6.6 Treatment of geothermal water -- 6.6.1 Boron removal from geothermal water -- 6.6.1.1 Boron removal by solvent extraction -- 6.6.1.2 Boron removal by coagulation and electrocoagulation. 6.6.1.3 Boron removal by adsorption -- 6.6.1.4 Boron removal by ion-exchange -- 6.6.1.5 Boron removal by membrane processes -- 6.6.2 Arsenic removal from geothermal water -- 7. Removal of boron and arsenic from geothermal water by ion-exchange -- 7.1 Introduction -- 7.2 Removal of boron from geothermal water by ion-exchange -- 7.2.1 Toxicity of boron -- 7.2.2 Boron removal methods -- 7.2.2.1 Removal of boron by ion-exchange -- 7.2.2.2 Removal of boron by sorption-membrane filtration hybrid method -- 7.2.2.3 Novel sorbents for boron removal from geothermal water -- 7.3 Removal of arsenic from geothermal water by ion-exchange -- 7.3.1 Toxicity of arsenic -- 7.3.2 Methods of arsenic removal -- 7.3.2.1 Removal of arsenic by ion-exchange -- 8. Membrane techniques in the treatment of geothermal water for fresh and potable water production -- 8.1 Introduction -- 8.2 Desalination methods -- 8.2.1 Thermal methods -- 8.2.2 Reverse osmosis (RO) -- 8.2.2.1 The basis of the RO process -- 8.2.2.2 Water desalination by means of RO -- 8.2.2.3 The pretreatment of raw water for RO desalination -- 8.2.2.4 Membranes -- 8.2.2.5 Membrane modules -- 8.2.2.6 Energy recovery -- 8.2.2.7 Final treatment of desalinated water -- 8.2.3 Electrodialysis -- 8.2.4 Membrane distillation -- 8.2.5 Forward osmosis -- 8.3 Concentrate utilization -- 8.4 Integrated desalination systems -- 8.4.1 Integration of reverse osmosis with thermal methods -- 8.4.2 Hybrid systems with nanofiltration -- 8.4.3 Hybrid systems with ion-exchange/electrodeionization -- 8.5 The consideration of energy issues in water desalination -- 8.5.1 Energy consumption -- 8.5.2 The use of renewable energy sources -- 8.5.2.1 Wind energy -- 8.5.2.2 Solar energy -- 8.5.2.3 Hybrid systems of wind and solar energy -- 8.5.2.4 Geothermal energy. 8.5.2.5 The comparison of various desalination technologies supplied by renewable energy -- 8.6 Economic analyses of desalination processes -- 8.7 Final remarks -- 9. Review of direct discharge and recovery of reverse osmosis concentrates -- 9.1 Introduction -- 9.2 Global desalination overview -- 9.3 RO desalination: characteristics and drawbacks -- 9.4 RO concentrates: influence of production site -- 9.5 Adverse effects of current RO concentrate management options -- 9.6 Treatment technologies of RO concentrates: review -- 10. Geothermal water treatment in Poland -- 10.1 Introduction -- 10.2 Characteristics of geothermal waters -- 10.2.1 Waters of the Podhale geothermal system -- 10.2.2 Lower Cretaceous geothermal waters in the Polish Lowlands -- 10.3 Research methodology -- 10.3.1 Apparatus -- 10.3.2 Water desalination and treatment procedure -- 10.3.3 Physico-chemical, microbiological and radiological analysis -- 10.4 Results and discussion -- 10.4.1 Permeate test results -- 10.4.1.1 Retentate test results -- 10.5 Conclusions -- Section III The uses of geothermal water in agriculture -- 11. Coupling geothermal direct heat with agriculture -- 11.1 Introduction -- 11.2 Sustainability by integrating geothermal options into agriculture -- 11.3 Geothermal direct heat applications -- 11.3.1 Heating/cooling of spaces, buildings, and water -- 11.3.2 Drying of crops, fruits, grains and animal products -- 11.3.3 Milk pasteurization -- 11.3.4 Heating of greenhouses -- 11.3.5 Heating of uncovered ground -- 11.3.6 Aquaculture (fish, shellfish, frogs, algae, etc.) -- 11.3.7 Application of geothermal heat-energy in food-processing -- 11.3.7.1 Preheating and heating -- 11.3.7.2 Evaporation and distillation processes -- 11.3.7.3 Peeling/blanching processes -- 11.3.7.4 Sterilization -- 11.4 Agriculture within the cascade system of geothermal direct heat utilization. 11.5 Geothermal energy for thermal water desalination -- 11.6 Geothermal greenhouses development heating/cooling, ventilation, humidification, desalination -- 11.7 Geothermal aquifers as freshwater source -- 11.8 Conclusions -- Section IV The uses of geothermal water in balneotherapy -- 12. Short history of thermal healing bathing -- 12.1 Introduction -- 12.2 The Americas -- 12.3 Asia and the Middle East -- 12.4 European countries -- 13. Balneological use of geothermal springs in selected regions of the world -- 13.1 Introduction -- 13.2 Africa -- 13.3 The Americas -- 13.4 Asia and Middle East -- 13.5 European countries -- 13.6 SPA, wellness and health resort organizations -- 13.7 Summary -- 14. The importance of an integrated analytic approach to the study of physicochemical characteristics of natural thermal waters used for pelotherapy aims: perspectives for reusing cooled thermal waters for treatments related to thermalism applications -- 14.1 Introduction -- 14.2 Application of the integrated analytical approach and tensiometry on thermalism -- 14.2.1 Two contrasting thermal water systems -- 14.2.1.1 Euganean geothermal system (Veneto region, Italy) -- 14.2.1.2 Jelenia Góra geothermal system (the Sudetes Mountains, Poland) -- 14.2.2 Chemical and biological characteristics of studied thermal waters -- 14.2.2.1 Photosynthetic microorganisms of Euganean thermal waters -- 14.2.2.2 Temperature and pH of thermal waters -- 14.2.2.3 Chemical characteristics of studied thermal waters -- 14.2.3 Evaluation of Jelenia Góra thermal waters in terms of matured peloid production -- 14.2.4 Influence of HSW on the maturation process of thermal muds in Euganean Thermal Area (ETA) -- 14.2.4.1 The integrated analytical approach: volume elements analyses -- 14.2.4.2 The integrated analytical approach: rheologic analyses. 14.2.4.3 The integrated analytical approach: tensiometric analyses. EBL201804 Engineering SzGeCERN BOOK Tomaszewska, Barbara https://cds.cern.ch/auth.py?r=EBLIB_P_4943923 ebook n 201814 201804 21 PUBLIC BOOK DELETED 2312720 SzGeCERN 20200808000724.0 9781118825983 electronic version electronic version 9781118825990 print version oai:cds.cern.ch:2312720 cerncds:BOOK EBL 4751479 eng QD455.3.E4.J46 2017 541.0285 Jensen, Frank Introduction to computational chemistry 3rd ed. New York, NY John Wiley & Sons 2016 663 p ebook Introduction to Computational Chemistry -- Contents -- Preface to the First Edition -- Preface to the Second Edition -- Preface to the Third Edition -- 1 Introduction -- 1.1 Fundamental Issues -- 1.2 Describing the System -- 1.3 Fundamental Forces -- 1.4 The Dynamical Equation -- 1.5 Solving the Dynamical Equation -- 1.6 Separation of Variables -- 1.6.1 Separating Space and Time Variables -- 1.6.2 Separating Nuclear and Electronic Variables -- 1.6.3 Separating Variables in General -- 1.7 Classical Mechanics -- 1.7.1 The Sun-Earth System -- 1.7.2 The Solar System -- 1.8 Quantum Mechanics -- 1.8.1 A Hydrogen-Like Atom -- 1.8.2 The Helium Atom -- 1.9 Chemistry -- References -- 2 Force Field Methods -- 2.1 Introduction -- 2.2 The Force Field Energy -- 2.2.1 The Stretch Energy -- 2.2.2 The Bending Energy -- 2.2.3 The Out-of-Plane Bending Energy -- 2.2.4 The Torsional Energy -- 2.2.5 The van der Waals energy -- 2.2.6 The Electrostatic Energy: Atomic Charges -- 2.2.7 The Electrostatic Energy: Atomic Multipoles -- 2.2.8 The Electrostatic Energy: Polarizability and Charge Penetration Effects -- 2.2.9 Cross Terms -- 2.2.10 Small Rings and Conjugated Systems -- 2.2.11 Comparing Energies of Structurally Different Molecules -- 2.3 Force Field Parameterization -- 2.3.1 Parameter Reductions in Force Fields -- 2.3.2 Force Fields for Metal Coordination Compounds -- 2.3.3 Universal Force Fields -- 2.4 Differences in Atomistic Force Fields -- 2.5 Water Models -- 2.6 Coarse Grained Force Fields -- 2.7 Computational Considerations -- 2.8 Validation of Force Fields -- 2.9 Practical Considerations -- 2.10 Advantages and Limitations of Force Field Methods -- 2.11 Transition Structure Modeling -- 2.11.1 Modeling the TS as a Minimum Energy Structure -- 2.11.2 Modeling the TS as a Minimum Energy Structure on the Reactant/Product Energy Seam. 2.11.3 Modeling the Reactive Energy Surface by Interacting Force Field Functions -- 2.11.4 Reactive Force Fields -- 2.12 Hybrid Force Field Electronic Structure Methods -- References -- 3 Hartree-Fock Theory -- 3.1 The Adiabatic and Born-Oppenheimer Approximations -- 3.2 Hartree-Fock Theory -- 3.3 The Energy of a Slater Determinant -- 3.4 Koopmans' Theorem -- 3.5 The Basis Set Approximation -- 3.6 An Alternative Formulation of the Variational Problem -- 3.7 Restricted and Unrestricted Hartree-Fock -- 3.8 SCF Techniques -- 3.8.1 SCF Convergence -- 3.8.2 Use of Symmetry -- 3.8.3 Ensuring that the HF Energy Is a Minimum, and the Correct Minimum -- 3.8.4 Initial Guess Orbitals -- 3.8.5 Direct SCF -- 3.8.6 Reduced Scaling Techniques -- 3.8.7 Reduced Prefactor Methods -- 3.9 Periodic Systems -- References -- 4 Electron Correlation Methods -- 4.1 Excited Slater Determinants -- 4.2 Configuration Interaction -- 4.2.1 CI Matrix Elements -- 4.2.2 Size of the CI Matrix -- 4.2.3 Truncated CI Methods -- 4.2.4 Direct CI Methods -- 4.3 Illustrating how CI Accounts for Electron Correlation, and the RHF Dissociation Problem -- 4.4 The UHF Dissociation and the Spin Contamination Problem -- 4.5 Size Consistency and Size Extensivity -- 4.6 Multiconfiguration Self-Consistent Field -- 4.7 Multireference Configuration Interaction -- 4.8 Many-Body Perturbation Theory -- 4.8.1 Møller-Plesset Perturbation Theory -- 4.8.2 Unrestricted and Projected Møller-Plesset Methods -- 4.9 Coupled Cluster -- 4.9.1 Truncated coupled cluster methods -- 4.10 Connections between Coupled Cluster, Configuration Interaction and Perturbation Theory -- 4.10.1 Illustrating Correlation Methods for the Beryllium Atom -- 4.11 Methods Involving the Interelectronic Distance -- 4.12 Techniques for Improving the Computational Efficiency -- 4.12.1 Direct Methods -- 4.12.2 Localized Orbital Methods. 4.12.3 Fragment-Based Methods -- 4.12.4 Tensor Decomposition Methods -- 4.13 Summary of Electron Correlation Methods -- 4.14 Excited States -- 4.14.1 Excited State Analysis -- 4.15 Quantum Monte Carlo Methods -- References -- 5 Basis Sets -- 5.1 Slater- and Gaussian-Type Orbitals -- 5.2 Classification of Basis Sets -- 5.3 Construction of Basis Sets -- 5.3.1 Exponents of Primitive Functions -- 5.3.2 Parameterized Exponent Basis Sets -- 5.3.3 Basis Set Contraction -- 5.3.4 Basis Set Augmentation -- 5.4 Examples of Standard Basis Sets -- 5.4.1 Pople Style Basis Sets -- 5.4.2 Dunning-Huzinaga Basis Sets -- 5.4.3 Karlsruhe-Type Basis Sets -- 5.4.4 Atomic Natural Orbital Basis Sets -- 5.4.5 Correlation Consistent Basis Sets -- 5.4.6 Polarization Consistent Basis Sets -- 5.4.7 Correlation Consistent F12 Basis Sets -- 5.4.8 Relativistic Basis Sets -- 5.4.9 Property Optimized Basis Sets -- 5.5 PlaneWave Basis Functions -- 5.6 Grid andWavelet Basis Sets -- 5.7 Fitting Basis Sets -- 5.8 Computational Issues -- 5.9 Basis Set Extrapolation -- 5.10 Composite Extrapolation Procedures -- 5.10.1 Gaussian-n Models -- 5.10.2 Complete Basis Set Models -- 5.10.3 Weizmann-n Models -- 5.10.4 Other Composite Models -- 5.11 Isogyric and Isodesmic Reactions -- 5.12 Effective Core Potentials -- 5.13 Basis Set Superposition and Incompleteness Errors -- References -- 6 Density Functional Methods -- 6.1 Orbital-Free Density FunctionalTheory -- 6.2 Kohn-Sham Theory -- 6.3 Reduced Density Matrix and Density Cumulant Methods -- 6.4 Exchange and Correlation Holes -- 6.5 Exchange-Correlation Functionals -- 6.5.1 Local Density Approximation -- 6.5.2 Generalized Gradient Approximation -- 6.5.3 Meta-GGA Methods -- 6.5.4 Hybrid or Hyper-GGA Methods -- 6.5.5 Double Hybrid Methods -- 6.5.6 Range-Separated Methods -- 6.5.7 Dispersion-Corrected Methods -- 6.5.8 Functional Overview. 6.6 Performance of Density Functional Methods -- 6.7 Computational Considerations -- 6.8 Differences between Density Functional Theory and Hartree-Fock -- 6.9 Time-Dependent Density Functional Theory (TDDFT) -- 6.9.1 Weak Perturbation - Linear Response -- 6.10 Ensemble Density Functional Theory -- 6.11 Density Functional Theory Problems -- 6.12 Final Considerations -- References -- 7 Semi-empirical Methods -- 7.1 Neglect of Diatomic Differential Overlap (NDDO) Approximation -- 7.2 Intermediate Neglect of Differential Overlap (INDO) Approximation -- 7.3 Complete Neglect of Differential Overlap (CNDO) Approximation -- 7.4 Parameterization -- 7.4.1 Modified Intermediate Neglect of Differential Overlap (MINDO) -- 7.4.2 Modified NDDO Models -- 7.4.3 Modified Neglect of Diatomic Overlap (MNDO) -- 7.4.4 Austin Model 1 (AM1) -- 7.4.5 Modified Neglect of Diatomic Overlap, Parametric Method Number 3 (PM3) -- 7.4.6 The MNDO/d and AM1/d Methods -- 7.4.7 Parametric Method Numbers 6 and 7 (PM6 and PM7) -- 7.4.8 Orthogonalization Models -- 7.5 Hückel Theory -- 7.5.1 Extended Hückel theory -- 7.5.2 Simple Hückel Theory -- 7.6 Tight-Binding Density Functional Theory -- 7.7 Performance of Semi-empirical Methods -- 7.8 Advantages and Limitations of Semi-empirical Methods -- References -- 8 Valence Bond Methods -- 8.1 Classical Valence Bond Theory -- 8.2 Spin-Coupled Valence Bond Theory -- 8.3 Generalized Valence Bond Theory -- References -- 9 Relativistic Methods -- 9.1 The Dirac Equation -- 9.2 Connections between the Dirac and Schrödinger Equations -- 9.2.1 Including Electric Potentials -- 9.2.2 Including Both Electric and Magnetic Potentials -- 9.3 Many-Particle Systems -- 9.4 Four-Component Calculations -- 9.5 Two-Component Calculations -- 9.6 Relativistic Effects -- References -- 10 Wave Function Analysis -- 10.1 Population Analysis Based on Basis Functions. 10.2 Population Analysis Based on the Electrostatic Potential -- 10.3 Population Analysis Based on the Electron Density -- 10.3.1 Quantum Theory of Atoms in Molecules -- 10.3.2 Voronoi, Hirshfeld, Stockholder and Stewart Atomic Charges -- 10.3.3 Generalized Atomic Polar Tensor Charges -- 10.4 Localized Orbitals -- 10.4.1 Computational considerations -- 10.5 Natural Orbitals -- 10.5.1 Natural Atomic Orbital and Natural Bond Orbital Analyses -- 10.6 Computational Considerations -- 10.7 Examples -- References -- 11 Molecular Properties -- 11.1 Examples of Molecular Properties -- 11.1.1 External Electric Field -- 11.1.2 External Magnetic Field -- 11.1.3 Nuclear Magnetic Moments -- 11.1.4 Electron Magnetic Moments -- 11.1.5 Geometry Change -- 11.1.6 Mixed Derivatives -- 11.2 Perturbation Methods -- 11.3 Derivative Techniques -- 11.4 Response and Propagator Methods -- 11.5 Lagrangian Techniques -- 11.6 Wave Function Response -- 11.6.1 Coupled Perturbed Hartree-Fock -- 11.7 Electric Field Perturbation -- 11.7.1 External Electric Field -- 11.7.2 Internal Electric Field -- 11.8 Magnetic Field Perturbation -- 11.8.1 External Magnetic Field -- 11.8.2 Nuclear Spin -- 11.8.3 Electron Spin -- 11.8.4 Electron Angular Momentum -- 11.8.5 Classical Terms -- 11.8.6 Relativistic Terms -- 11.8.7 Magnetic Properties -- 11.8.8 Gauge Dependence of Magnetic Properties -- 11.9 Geometry Perturbations -- 11.10 Time-Dependent Perturbations -- 11.11 Rotational and Vibrational Corrections -- 11.12 Environmental Effects -- 11.13 Relativistic Corrections -- References -- 12 Illustrating the Concepts -- 12.1 Geometry Convergence -- 12.1.1 Wave Function Methods -- 12.1.2 Density Functional Methods -- 12.2 Total Energy Convergence -- 12.3 Dipole Moment Convergence -- 12.3.1 Wave Function Methods -- 12.3.2 Density Functional Methods -- 12.4 Vibrational Frequency Convergence. 12.4.1 Wave Function Methods. EBL201804 Chemical Physics and Chemistry SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4751479 ebook n 201814 201804 21 PUBLIC BOOK DELETED 2312696 SzGeCERN 20210415211526.0 9781118998304 print version 9781118998847 electronic version electronic version oai:cds.cern.ch:2312696 cerncds:BOOK EBL 4436068 eng R857.M3 610.28/4 Tiwari, Ashutosh Advanced bioelectronics materials New York, NY John Wiley & Sons 2015 499 p ebook Advance materials series Intro -- Half Title page -- Title page -- Copyright page -- Dedication -- Preface -- Part 1: Recent Advances in Bioelectronics -- Chapter 1: Micro- and Nanoelectrodes in Protein-Based Electrochemical Biosensors for Nanomedicine and Other Applications -- 1.1 Introduction -- 1.2 Microelectrodes -- 1.3 Nanoelectrodes -- 1.4 Integration of the Electronic Transducer, Electrode, and Biological Recognition Components (such as Enzymes) in Nanoscale-Sized Biosensors and Their Clinical Applications -- 1.5 Conclusion -- Acknowledgment -- References -- Chapter 2: Radio-Frequency Biosensors for Label-Free Detection of Biomolecular Binding Systems -- 2.1 Overview -- 2.2 Introduction -- 2.3 Carbon Nanotube-Based RF Biosensor -- 2.4 Resonator-Based RF Biosensor -- 2.5 Active System-Based RF Biosensor -- 2.6 Conclusions -- Abbreviation -- References -- Chapter 3: Affinity Biosensing: Recent Advances in Surface Plasmon Resonance for Molecular Diagnostics -- 3.1 Introduction -- 3.2 Artists of the Biorecognition: New Natural and Synthetic Receptors as Sensing Elements -- 3.3 Recent Trends in Bioreceptors Immobilization -- 3.4 Trends for Improvements of Analytical Performances in Molecular Diagnostics -- 3.5 Conclusions -- References -- Chapter 4: Electropolymerized Materials for Biosensors -- 4.1 Introduction -- 4.2 Electropolymerized Materials Used in Biosensor Assembly -- 4.3 Enzyme Sensors -- 4.4 Immunosensors Based on Redox-Active Polymers -- 4.5 DNA Sensors Based on Redox-Active Polymers -- 4.6 Conclusion -- Acknowledgments -- References -- Part 2: Advanced Nanostructures in Biosensing -- Chapter 5: Graphene-Based Electrochemical Platform for Biosensor Applications -- 5.1 Introduction -- 5.2 Graphene -- 5.3 Synthetic Methods for Graphene -- 5.4 Properties of Graphene -- 5.5 Multi-functional Applications of Graphene -- 5.6 Electrochemical Sensor. 5.7 Graphene as Promising Materials for Electrochemical Biosensors -- 5.8 Conclusion and Future Outlooks -- References -- Chapter 6: Fluorescent Carbon Dots for Bioimaging -- 6.1 Introduction -- 6.2 CDs as Fluorescent Probes for Imaging of Biomolecules and Cells -- 6.3 Conclusions and Perspectives -- References -- Chapter 7: Enzyme Sensors Based on Nanostructured Materials -- 7.1 Biosensors and Nanotechnology -- 7.2 Biosensors Based on Carbon Nanotubes (CNTs) -- 7.3 Biosensors Based on Magnetic Nanoparticles -- 7.4 Biosensors Based on Quantum Dots -- 7.5 Conclusion -- References -- Chapter 8: Biosensor Based on Chitosan Nanocomposite -- 8.1 Introduction -- 8.2 Chitosan and Chitosan Nanomaterials -- 8.3 Application of Chitosan Nanocomposite in Biosensor -- 8.4 Emerging Biosensor and Future Perspectives -- Acknowledgments -- References -- Part 3: Systematic Bioelectronic Strategies -- Chapter 9: Bilayer Lipid Membrane Constructs: A Strategic Technology Evaluation Approach -- 9.1 The Lipid Bilayer Concept and the Membrane Platform -- 9.2 Strategic Technology Evaluation: The Approach -- 9.3 The Dimensions of the Membrane-Based Technology -- 9.4 Technology Dimension 1: Fabrication -- 9.5 Technology Dimension 2: Membrane Modelling -- 9.6 Technology Dimension 3: Artificial Chemoreception -- 9.7 Technology Evaluation -- 9.8 Concluding Remarks -- Abbreviations -- References -- Chapter 10: Recent Advances of Biosensors in Food Detection Including Genetically Modified Organisms in Food -- 10.1 Electrochemical Biosensors -- 10.2 DNA Biosensors for Detection of GMOs Nanotechnology -- 10.3 Aptamers -- 10.4 Voltammetric Biosensors -- 10.5 Amperometric Biosensors -- 10.6 Optical Biosensors -- 10.7 Magnetoelastic Biosensors -- 10.8 Surface Acoustic Wave (SAW) Biosensors for Odor Detection -- 10.9 Quorum Sensing and Toxoflavin Detection -- 10.10 Xanthine Biosensors. 10.11 Conclusions and Future Prospects -- Acknowledgments -- References -- Chapter 11: Numerical Modeling and Calculation of Sensing Parameters of DNA Sensors -- 11.1 Introduction to Graphene -- 11.2 Numerical Modeling -- References -- Chapter 12: Carbon Nanotubes and Cellulose Acetate Composite for Biomolecular Sensing -- 12.1 Introduction -- 12.2 Background of the Work -- 12.3 Materials and Methodology -- 12.4 Characterisation of Membranes -- 12.5 pH Measurements Using Different Membranes -- 12.6 Conclusion -- Reference -- Chapter 13: Review of the Green Synthesis of Metal/Graphene Composites for Energy Conversion, Sensor, Environmental, and Bioelectronic Applications -- 13.1 Introduction -- 13.2 Metal/Graphene Composites -- 13.3 Synthesis Routes of Graphene -- 13.4 Green Synthesis Route of Metal/Graphene Composites -- 13.5 Green Application of Metal/Graphene and Doped Graphene Composites -- 13.6 Conclusion and Future Perspective -- Acknowledgments -- References -- Chapter 14: Ion Exchangers - An Open Window for the Development of Advanced Materials with Pharmaceutical and Medical Applications -- 14.1 Introduction -- 14.2 Characteristics of IER and Methods of Characterization -- 14.3 Resinate Preparation -- 14.4 Pharmaceutical and Medical Applications -- 14.5 Conclusions -- References -- Index. EBL201804 Health Physics and Radiation Effects SzGeCERN BOOK Turner, Anthony P F Patra, Hirak K https://cds.cern.ch/auth.py?r=EBLIB_P_4436068 ebook n 201814 201804 21 PUBLIC BOOK DELETED 2312675 SzGeCERN 20190321204923.0 9781482225235 (electronic bk.) electronic version 9781482225228 electronic version 9781482225228 print version oai:cds.cern.ch:2312675 cerncds:BOOK EBL 4067514 eng T50.H363 2016 530.81 Badiru, Adedeji B Handbook of measurements benchmarks for systems accuracy and precision Boca Raton, FL Chapman and Hall/CRC 2015 711 p ebook Systems innovation book 37 Front Cover -- Dedication -- Contents -- Preface -- Acknowledgments -- Editors -- Contributors -- chapter one - Fundamentals of measurement -- chapter two - Human factors measurement -- chapter three - Measurements of environmental health -- chapter four - Measurement of environmental contamination -- chapter five - Measurement of land -- chapter six - Measuring building performance -- chapter seven - Energy systems measurements -- chapter eight - Economic systems measurement -- chapter nine - Measurement and quantum mechanics -- chapter ten - Social science measurement -- chapter eleven - Systems interoperability measurement -- chapter twelve - A generalized measurement model to quantify health -- chapter thirteen - Evolution of large-scale dimensional metrology from the viewpoint of scientific articles and patents -- chapter fourteen - Gaussian-smoothed Wigner function and its application to precision analysis -- chapter fifteen - Measurement issues in performance-based logistics -- chapter sixteen - Data processing and acquisition systems -- chapter seventeen - Part A: Visualization of big data: Current trends -- chapter eighteen - Part B: Visualization of big data: Ship maintenance metrics analysis -- chapter nineteen - Defining and measuring the success of services contracts -- chapter twenty - Measurement of personnel productivity: During government furlough programs -- chapter twenty-one - Measurement risk analysis -- chapter twenty-two - Data modeling for forecasting -- chapter twenty-three - Mathematical measurement of project parameters for multiresource control -- chapter twenty-four - Measurement and control of imprecision in engineering design -- chapter twenty-five - Fuzzy measurements in systems modeling -- chapter twenty-six - Using metrics to manage contractor performance. chapter twenty-seven - Low-clutter method for bistatic RCS measurement -- Appendix A: Measurement references and conversion factors -- Appendix B: Measurement equations and formulas -- Appendix C: Slides of statistics for measurement -- Back Cover. EBL201804 General Theoretical Physics SzGeCERN BOOK Racz, LeeAnn https://cds.cern.ch/auth.py?r=EBLIB_P_4067514 ebook n 201814 201804 21 PUBLIC BOOK DELETED 2312658 SzGeCERN 20200715221055.0 9781482217674 print version 9781482217681 electronic version electronic version oai:cds.cern.ch:2312658 cerncds:BOOK EBL 2167255 eng TA418.9 621.042028/4 Cavaliere, Sara Electrospinning for advanced energy and environmental applications Milton Chapman and Hall/CRC 2015 298 p ebook Front Cover -- Contents -- Preface -- Editor -- Contributors -- Chapter 1: Fundamentals of Electrospinning -- Chapter 2: Electrospun Nanofibers for Low-Temperature Proton Exchange Membrane Fuel Cells -- Chapter 3: Electrospinning for Solid Oxide Fuel Cells -- Chapter 4: Electrospun Materials for Hydrogen Storage -- Chapter 5: Electrospun Nanofibers for Supercapacitors -- Chapter 6: Electrospinning for the Development of Improved Lithium-Ion Battery Materials -- Chapter 7: Electrospinning Techniques and Electrospun Materials as Photoanodes for Dye-Sensitized Solar Cell Applications -- Chapter 8: Recent Developments of Electrospinning for Biosensors and Biocatalysis -- Chapter 9: Eco-Friendly Electrospun Membranes Made of Biodegradable Polymers for Wastewater Treatment -- Chapter 10: Electrospinning for Air Pollution Control -- Back Cover. Electrospinning for Advanced Energy and Environmental Applications delivers a state-of-the-art overview of the use of electrospun fibers in energy conversion and storage, as well as in environmental sensing and remediation. Featuring contributions from leading experts in electrospinning and its specific applications, this book: Introduces the electrospinning technique and its origins, outlining achievable one-dimensional (1D) nanoscaled materials and their various applications Discusses the use of electrospun materials in energy devices, including low- and high-temperature fuel cells, hydrogen storage, dye-sensitized solar cells, lithium-ion batteries, and supercapacitors Explores environmental applications of electrospun fibers, such as the use of electrospinning-issued materials in membranes for water and air purification, as well as in sensors and biosensors for pollution control Beneficial to both academic and industrial audiences, Electrospinning for Advanced Energy and Environmental Applications presents basic electrospinning approaches and their advantages in dedicated applications, while providing a review of the latest advances and technical challenges associated with electrospun materials. The book serves as a reference for field newcomers and experts alike, inspiring new ideas and developments for future energy and environmental applications. EBL201804 Engineering SzGeCERN EBL Electrospinning EBL Nanofibers BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_2167255 ebook n 201814 201804 21 PUBLIC BOOK DELETED 2312656 SzGeCERN 20200503231955.0 9781482251647 print version 9781482251654 electronic version electronic version oai:cds.cern.ch:2312656 cerncds:BOOK EBL 2167240 eng QP519.9.E434 541/.372 Fung, Ying Sing Microfluidic chip-capillary electrophoresis devices Boca Raton, FL Chapman and Hall/CRC 2015 392 p ebook Front Cover -- Contents -- About the Editors -- Contributors -- Chapter 1: Microfluidic Chip-Capillary Electrophoresis: Expanding the Scope of Application for On-Site Analysis of Difficult Samples -- Chapter 2: Instrumentation and Facilities I: Fabrication of Microfluidic Chip-Capillary Electrophoresis Device -- Chapter 3: Instrumentation and Facilities II: Manipulating Nanofluids for Desired Operations to Achieve Intended Application by MC-CE Device -- Chapter 4: Single-Channel Mixing: Extending Analytical Range to Handle Samples with High Analyte Variation for Profiling Urinary Organic and Inorganic Anions -- Chapter 5: Dual-Channel Mixing: Standard Addition by Dual-Channel Continuous Flow Mixing for Assay of Complex Nephrolithiasis Biomarkers in Urine -- Chapter 6: Sample Cleanup and Analyte Enrichment: Integrating MIP/SPE with ME-MC-CE Device to Enhance Sample Cleanup and Multidimensional Analyte Enrichment for Hourly Determination of Atmospheric Carbonyl Compounds -- Chapter 7: Enhancing Separation Efficiency: On-Chip Multidimensional Separation and Determination of Urinary Proteins by MC-CE Device -- Chapter 8: Improving Detection Selectivity: MC-CE Device Integrated with Dual Opposite Carbon-Fiber Microdisk Electrodes Detection for Determining Polyphenols in Wine -- Chapter 9: Enhancing Detection Versatility: MC-CE Device with Serial Dual-Electrode Detection for Determining Glutathione Disulfide and Glutathione in Pharmaceutical Supplement -- Chapter 10: Detecting Optically Inactive Analyte: MC-CE Device Integrated with QDs/LIF Detection for Determination of Acrylamide in Food -- Chapter 11: Quantum Dots-Enhanced Fluorescence Detection: Immobilized Quantum Dots for Laser-Induced Fluorescence Detection of Organophosphorus Pesticides in Vegetables. Chapter 12: On-Site Assay by Portable UV Detector: MC-CE Device for Authenification of Chinese Medicine -- Chapter 13: On-Chip Binding Assay: MC-CE Device Integrated with Multisegment Circular-Ferrofluid-Driven Micromixing Injection for Assay of Free Bilirubin and Albumin Residual Binding Capacity for Bilirubin -- Chapter 14: Counting Organelles: Direct Counting of Mitochondrial Numbers -- Chapter 15: Indirect Assessment of Organelles in Cell Extract: Determination of Mitochondrial Number by Cardiolipin Content Using MC-CE Device Integrated with Laser-Induced Fluorescence -- Chapter 16: Protein Characterization and Quantitation: Integrating MC-CE Device with Gas-Phase Electrophoretic Mobility Molecular Analyzer -- Chapter 17: Current Achievements and Future Perspectives -- Appendix I: Definition of Commonly Used Microfluidic Devices -- Appendix II: Suppliers for Multi-High-Voltage Power Systems, Portable CE Instrumentation, and Associated High-Voltage Accessories -- Back Cover. Capillary electrophoresis (CE) and microfluidic chip (MC) devices are relatively mature technologies, but this book demonstrates how they can be integrated into a single, revolutionary device that can provide on-site analysis of samples when laboratory services are unavailable. By introducing the combination of CE and MC technology, Microfluidic Chip-Capillary Electrophoresis Devices broadens the scope of chemical analysis, particularly in the biomedical, food, and environmental sciences. The book gives an overview of the development of MC and CE technology as well as technology that now allows for the fabrication of MC-CE devices. It describes the operating principles that make integration possible and illustrates some achievements already made by the application of MC-CE devices in hospitals, clinics, food safety, and environmental research. The authors envision further applications for private and public use once the proof-of-concept stage has been passed and obstacles to increased commercialization are addressed. A summary of the current methodology and application of MC-CE devices, including their merits, limitations, and potential, closes the book. It highlights the path to be taken for future development of MC-CE and anticipates new advances in technology that will increase their performance and use as powerful analytical tools. With enhanced power, their scope of applications will widen and yield new benefits to researchers and the general public. EBL201804 Chemical Physics and Chemistry SzGeCERN EBL Biotechnology EBL Electrophoresis, Microchip -- Instrumentation EBL Fluidic devices BOOK Chen, Qidan Du, Fuying Guo, Wenpeng Ma, Tongmei Nie, Zhou Sun, Hui Wu, Ruige Zhao, Wenfeng https://cds.cern.ch/auth.py?r=EBLIB_P_2167240 ebook n 201814 201804 21 PUBLIC BOOK DELETED 2312655 SzGeCERN 20200503231955.0 9781498711333 print version 9781498711340 electronic version electronic version oai:cds.cern.ch:2312655 cerncds:BOOK EBL 2127162 eng TP363 A48 2015 621.5/63 Alves-Filho, Odilio Heat pump dryers theory, design and industrial applications London Chapman and Hall/CRC 2015 350 p ebook Front Cover -- Contents -- Preface -- Acknowledgements -- Nomenclature -- Author -- Chapter 1: Conventional and Heat Pump Drying: Benefits and Drawbacks -- Chapter 2: Single-Stage Vapour Compression Heat Pumps for Drying -- Chapter 3: Multistage Vapour Compression Heat Pumps for Drying -- Chapter 4: Design of Single-Stage Vapour Compression Heat Pump Drying -- Chapter 5: Design of Two-Stage Vapour Compression Heat Pump Drying -- Chapter 6: Psychrometry of Moist Air Applied to Water Removal and Energy Consumption -- Chapter 7: Thermophysical Properties and Selection of Heat Pump Fluids -- References and Additional Readings -- Back Cover. Explore the Social, Technological, and Economic Impact of Heat Pump Drying Heat pump drying is a green technology that aligns with current energy, quality, and environmental concerns, and when compared to conventional drying, delivers similar quality at a lower cost. Heat Pump Dryers: Theory, Design and Industrial Applications details the progression of heat pump drying-from pioneering research and demonstration work to an applied technology-and establishes principles and theories that can aid in the successful design and application of heat pump dryers. Based on the author's personal experience, this book compares heat pump dryers and conventional dryers in terms of performance, quality, removal rate, energy utilization, and the environmental effect of both drying processes. It includes detailed descriptions and layouts of heat pump dryers, outlines the principles of operation, and explains the equations, diagrams, and procedures used to form the basis for heat pump dryer dimensioning and design. The author also proposes the use of heat pump dryers that operate on natural fluids and considers their potential for providing ecological benefits and easing environmental issues relative to conventional drying. The use of natural fluids in heat pump dryers is consistent with the Kyoto and Montreal Protocols. Highlights includes coverage of: Single-stage and multi-stage vapor compression heat pumps for drying A dryer design utilizing single-stage vapor compression heat pumps Design of a two-stage vapor compression heat pump for drying green peas and aromatic leaves Psychrometry of humid air and includes the various types of humidification processes Thermodynamic properties of refrigerants for heat pumps Heat Pump Dryers: Theory, Design and Industrial Applications discusses the ready-to-use technology of heat pump drying. The book compares conventional and heat pump drying, addresses the confines and limitations of conventional drying, and proposes viable solutions using this novel process. EBL201804 Engineering SzGeCERN EBL Drying EBL Food -- Drying -- Equipment and supplies BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_2127162 ebook n 201814 201804 21 PUBLIC BOOK DELETED 2312626 SzGeCERN 20200503231955.0 9781482237351 print version 9781482237382 electronic version electronic version oai:cds.cern.ch:2312626 cerncds:BOOK EBL 1686753 eng QH87.3 -- .R466 2015eb 526.0914/6 Tiner, Ralph W Remote sensing of wetlands applications and advances London Chapman and Hall/CRC 2015 566 p ebook Front Cover -- Contents -- Preface -- Editors -- Contributors -- Acronyms -- Chapter 1: Wetlands : An Overview -- Chapter 2: Classification of Wetland Types for Mapping and Large-Scale Inventories -- Chapter 3: Introduction to Wetland Mapping and Its Challenges -- Chapter 4: Early Applications of Remote Sensing for Mapping Wetlands -- Chapter 5: Advances in Remotely Sensed Data and Techniques for Wetland Mapping and Monitoring -- Chapter 6: Mapping and Monitoring Surface Water and Wetlands with Synthetic Aperture Radar -- Chapter 7: Wetland InSAR : A Review of the Technique and Applications -- Chapter 8: Radar and Optical Image Fusion and Mapping of Wetland Resources -- Chapter 9: Theory and Applications of Object-Based Image Analysis and Emerging Methods in Wetland Mapping -- Chapter 10: Unmanned Aerial Systems and Structure from Motion Revolutionize Wetlands Mapping -- Chapter 11: Remote Sensing of Submerged Aquatic Vegetation and Coral Reefs -- Chapter 12: Remote Sensing of Mangroves -- Chapter 13: Tidal Marsh Classification Approaches and Future Marsh Migration Mapping Methods for Long Island Sound, Connecticut, and New York -- Chapter 14: Using Moderate-Resolution Satellite Sensors for Monitoring the Biophysical Parameters and Phenology of Tidal Marshes -- Chapter 15: Great Lakes Coastal Wetland Mapping -- Chapter 16: Mapping Wetlands and Surface Water in the Prairie Pothole Region of North America -- Chapter 17: Mapping the State and Dynamics of Boreal Wetlands Using Synthetic Aperture Radar -- Chapter 18: Fusion of Multispectral Imagery and LiDAR Digital Terrain Derivatives for Ecosystem Mapping and Morphological Characterization of a Northern Peatland Complex -- Chapter 19: Airborne LiDAR-Based Wetland and Permafrost-Feature Mapping on an Arctic Coastal Plain, North Slope, Alaska. Chapter 20: Hybrid Mapping of Pantropical Wetlands from Optical Satellite Images, Hydrology, and Geomorphology -- Chapter 21: Capturing the Dynamics of Amazonian Wetlands Using Synthetic Aperture Radar : Lessons Learned and Future Directions -- Chapter 22: Mapping China's Wetlands and Recent Changes with Remotely Sensed Data -- Chapter 23: Mapping Invasive Wetland Plants -- Chapter 24: Multisatellite Remote Sensing of Global Wetland Extent and Dynamics -- Chapter 25: Promising Developments and Future Challenges for Remote Sensing of Wetlands -- Back Cover. Effectively Manage Wetland Resources Using the Best Available Remote Sensing Techniques Utilizing top scientists in the wetland classification and mapping field, Remote Sensing of Wetlands: Applications and Advances covers the rapidly changing landscape of wetlands and describes the latest advances in remote sensing that have taken place over the past 30 years for use in mapping wetlands. Factoring in the impact of climate change, as well as a growing demand on wetlands for agriculture, aquaculture, forestry, and development, this text considers the challenges that wetlands pose for remote sensing and provides a thorough introduction on the use of remotely sensed data for wetland detection. Taking advantage of the experiences of more than 50 contributing authors, the book describes a variety of techniques for mapping and classifying wetlands in a multitude of environments ranging from tropical to arctic wetlands including coral reefs and submerged aquatic vegetation. The authors discuss the advantages and disadvantages of using different remote sensing techniques for wetland detection under varied conditions and circumstances. They also analyze commonly available data, reveal cost-effective methods, and offer useful insights into future trends. Comprised of 25 chapters, this text: Presents methods readily applicable to real-world challenges Contains advanced, new techniques communicated by top scientists in the field Covers a diverse set of landscapes and technologies Reviews many of the datasets and techniques that are responsible for advances in this discipline and their application for wetland mapping Addresses the need to effectively manage this environmental resource Remote Sensing of Wetlands: Applications and Advances uses a variety of contributors, touching on pertinent topics, to help you gain a greater understanding of the latest technologies, strengths, and limitations surrounding this emerging field. EBL201804 Astrophysics and Astronomy SzGeCERN EBL Wetland management BOOK Lang, Megan W Klemas, Victor V https://cds.cern.ch/auth.py?r=EBLIB_P_1686753 ebook n 201814 201804 21 PUBLIC BOOK DELETED 2312617 SzGeCERN 20190626205915.0 9781482216196 (electronic bk.) electronic version 9781482216189 electronic version 9781482216189 print version oai:cds.cern.ch:2312617 cerncds:BOOK EBL 1583001 eng TJ840.S435 2014eb 621.042 Shah, Yatish T Water for energy and fuel production London Chapman and Hall/CRC 2014 436 p ebook Green chemistry and chemical engineering 17 Front Cover -- Contents -- Series Preface -- Preface -- Author -- Chapter 1: Introduction -- Chapter 2: Role of Water in Recovery and Production of Raw Fuels -- Chapter 3: Energy Recovery by Benign Hydrothermal Processes -- Chapter 4: Steam Gasification and Reforming Technologies -- Chapter 5: Hydrothermal Processes in Subcritical Water -- Chapter 6: Aqueous-Phase Reforming and BioForming Process -- Chapter 7: Biofine Hydrolysis Process and Derivative Product Upgrading Technologies -- Chapter 8: Anaerobic Digestion of Aqueous Waste for Methane and Hydrogen -- Chapter 9: Hydrolysis and Fermentation Technologies for Alcohols -- Chapter 10: Fuel Production by Supercritical Water -- Chapter 11: Water Dissociation Technologies for Hydrogen -- Chapter 12: Methane from Gas Hydrates -- Chapter 13: Power and Energy Directly from Water -- Back Cover. Water, in all its forms, may be the key to an environmentally friendly energy economy. Water is free, there is plenty of it, plus it carries what is generally believed to be the best long-term source of green energy-hydrogen. Water for Energy and Fuel Production explores the many roles of water in the energy and fuel industry. The text not only discusses water's use as a direct source of energy and fuel-such as hydrogen from water dissociation, methane from water-based clathrate molecules, hydroelectric dams, and hydrokinetic energy from tidal waves, off-shore undercurrents, and inland waterways-but also: Describes water's benign application in the production of oil, gas, coal, uranium, biomass, and other raw fuels, and as an energy carrier in the form of hot water and steam Examines water's role as a reactant, reaction medium, and catalyst-as well as steam's role as a reactant-for the conversion of raw fuels to synthetic fuels Explains how supercritical water can be used to convert fossil- and bio-based feedstock to synthetic fuels in the presence and absence of a catalyst Employing illustrative case studies and commercial examples, Water for Energy and Fuel Production demonstrates the versatility of water as a provider of energy and fuel, conveying the message that as energy demand and environmental concerns grow, so should our vigilance in pursuing the role of water in the energy landscape. EBL201804 Engineering SzGeCERN EBL Energy industries -- Materials EBL Green chemistry EBL Hydraulic machinery EBL Water -- Industrial applications BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1583001 ebook n 201814 201804 21 PUBLIC BOOK DELETED 2312614 SzGeCERN 20200325223045.0 9789814411462 print version 9789814411479 electronic version electronic version oai:cds.cern.ch:2312614 cerncds:BOOK EBL 1538308 eng R857.B54 610.28 Cosnier, Serge Electrochemical biosensors Singapore Pan Stanford Publishing 2015 405 p ebook Pan stanford series on the high?tech of biotechnology ser Front Cover -- Contents -- Preface -- Chapter 1 - Electrochemical Detection of Exocytosis: A Survey from the Earliest Amperometry at Carbon Fiber Ultramicroelectrodes to Recent Integrated Systems -- Chapter 2 - Adsorptive Stripping Voltammetric Determination of Metabolites -- Chapter 3 - Electrochemical Nucleic Acid Aptamer-Based Biosensors -- Chapter 4 - Amperometric Enzyme Electrodes -- Chapter 5 - Electrochemical Biosensors Based on Carbon Nanotubes and Nanohybrids: From Fundamental to Biological Architectures -- Chapter 6 - Gold and Silver Nanoparticles for Electrochemical Immunosensors -- Chapter 7 - Electrochemical DNA Sensors Based on Nanoparticles -- Chapter 8 - Electroenzymatic Labeling for Immunosensors and DNA Sensors -- Chapter 9 - Conductometric Enzyme Biosensors -- Chapter 10 - Impedance Immunosensors -- Chapter 11 - Transduction of Biochemical Reactions by Use of Quantum Dots and Photocurrent Detection -- Chapter 12 - Biosensors Based on Electrochemiluminescence -- Chapter 13 - The Self-Powered Biosensors Based on Biofuel Cells -- Back Cover. "This is an excellent book on modern electrochemical biosensors, edited by Professor Cosnier and written by leading international experts. It covers state-of-the-art topics of this important field in a clear and timely manner."-Prof. Joseph Wang, UC San Diego, USA 　"This book covers, in 13 well-illustrated chapters, the potential of electrochemical methods intimately combined with a biological component for the assay of various analytes of biological and environmental interest. Particular attention is devoted to the description of electrochemical microtools in close contact with a biological cell for exocytosis monitoring and to the use of nanomaterials in the electrochemical biosensor architecture for signal improvement. Interestingly, one chapter describes the concept and design of self-powered biosensors derived from biofuel cells. Each topic is reviewed by experts very active in the field. This timely book is well suited for providing a good overview of current research trends devoted to electrochemical biosensors."-Dr. Jean-Michel Kauffmann, Editor-in-Chief, Talanta, Free University of Brussels, Belgium. EBL201804 Health Physics and Radiation Effects SzGeCERN EBL Biosensors EBL Electrochemical sensors BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1538308 ebook n 201814 201804 21 PUBLIC BOOK DELETED 2312610 SzGeCERN 20181121232416.0 9781447153078 (electronic bk.) electronic version 9781447153061 electronic version 9781447153061 print version oai:cds.cern.ch:2312610 cerncds:BOOK EBL 1466865 eng TJ807-830QD450-801TD 621.042 Battin-Leclerc, Frédérique Cleaner combustion developing detailed chemical kinetic models London Springer 2013 657 p ebook Green energy and technology Foreword -- Preface -- Contents -- 1 Introduction -- Abstract -- 1.1…Context of the Book -- 1.2…Part I: Development of Detailed Kinetic Models: The Particular Case of Fuels Obtained from Biomass -- 1.3…Part II: Obtaining Reliable Experimental Data to Validate Models Under a Wide Range of Experimental Conditions -- 1.4…Part III: Experimental Studies and Modelling of PAH and Soot Formation -- 1.5…Part IV: Methods for Mechanism Reduction and Uncertainty Analysis -- 1.6…Part V: Thermodynamic and Kinetic Parameters for Elementary Chemical Steps -- Acknowledgments -- References -- Part IDevelopment of Detailed Kinetic Models: The Particular Case of Fuels Obtained from Biomass -- 2 Modeling Combustion with Detailed Kinetic Mechanisms -- Abstract -- 2.1…Introduction -- 2.2…Chemical Combustion Models -- 2.2.1 Generalities About Chemical Mechanisms -- 2.2.2 Detailed Chemical Mechanisms -- 2.2.3 Low and High Temperature Detailed Chemical Combustion Mechanisms -- 2.3…Species and Molecular Representation -- 2.3.1 Molecular Representations in Detailed Mechanisms -- 2.3.2 Lewis StructuresLewis structures and Detailed Combustion Modeling -- 2.3.3 Functional GroupFunctional groups -- 2.3.4 Molecular Representation and Reactivity -- 2.4…Reactions -- 2.4.1 Reaction ClassesConcept of Reaction Classes -- 2.4.2 List of Reaction Classes Usually Used in Combustion Mechanisms -- 2.4.3 Kinetic Data of the Reaction Classes Used in Combustion Mechanisms -- 2.5…Mechanisms and Submechanisms -- 2.5.1 Hierarchial StructureHierarchical Structure of Submechanisms -- 2.5.2 Primary, Secondary, and Base Mechanismbase mechanisms -- 2.5.3 PathwaysPathways -- 2.6…Varying Complexity of Combustion Mechanisms -- 2.6.1 Validation and Nonuniqueness of Combustion Models -- 2.6.2 Highly Detailed Mechanisms -- 2.6.3 Semi-Detailed and Skeletal Mechanismsskeletal mechanisms. 2.6.4 Global Mechanisms -- 2.6.5 SurrogatesSurrogates: Mechanisms of Complex Fuels -- 2.7…Summary -- Acknowledgments -- References -- 3 Automatic Generation of Detailed Mechanisms -- Abstract -- 3.1…Common Principles of Automatic Generators -- 3.1.1 Core Structure of an Automatic Generator -- 3.1.1.1 Initialization -- 3.1.1.2 Generate Reactions -- 3.1.1.3 Update the Species Poolspecies pool -- 3.1.1.4 Termination CriteriaTermination criteria Check -- 3.1.2 Convergence and Termination of the Generation Process -- 3.1.3 Molecular and Reaction Representations -- 3.1.3.1 Molecule Names for Humans and Computers -- 3.1.3.2 Bonding Representations -- 3.1.3.3 Canonicity Canonical form or canonicity and Molecular Equivalence -- 3.1.3.4 Substructure Search -- 3.2…Systems Descriptions -- 3.2.1 MAMOX++ -- 3.2.1.1 Lumping Procedure -- 3.2.1.2 Reduced Pyrolysispyrolysis Mechanisms Using Steady State Approximation -- 3.2.1.3 Reduced Oxidation Mechanisms -- 3.2.2 EXGAS -- 3.2.2.1 Notation -- 3.2.2.2 General Structure of an EXGAS Model -- 3.2.2.3 The Base Mechanisms -- 3.2.2.4 The Primary MechanismPrimary mechanism or reaction Generation -- 3.2.2.5 The Secondary MechanismSecondary mechanism or reaction Generation -- 3.2.3 RMG -- 3.2.3.1 Rate Based Generation Algorithm: Network Expansion and Termination CriteriaTermination Criteria -- 3.2.3.2 Pressure Dependent Networks: Activated Species Algorithm -- 3.2.4 Reaction -- 3.2.4.1 Reaction Patterns -- 3.2.4.2 PathwaysPathways -- 3.2.4.3 Generated Submechanisms and Base Submechanism -- 3.3…Concluding Summary -- Acknowledgments -- References -- 4 Specificities Related to Detailed Kinetic Models for the Combustion of Oxygenated Fuels Components -- Abstract -- 4.1…Introduction -- 4.2…Molecular Dehydrationsdehydrations and Dehydrogenationsdehydrogenations of Alcoholsalcohols -- 4.3…Hydrogen Atom Abstractions. 4.4…Radical Decompositions by beta -Scission -- 4.5…RO2middot Radical Chemistry: Intramolecular IsomerizationsIntramolecular Isomerizations -- 4.6…Reactions Leading to Unsaturated Products and HO2middot Radicals -- 4.7…Conclusion -- Acknowledgments -- References -- 5 Multistep Kinetic Model of Biomass Pyrolysis -- Abstract -- 5.1…Introduction -- 5.2…BiomassBiomass CharacterizationCharacterization and Devolatilization Model -- 5.2.1 Biomass CharacterizationCharacterization -- 5.2.2 The Kinetic Model of the Devolatilization of Reference Species -- 5.2.2.1 Cellulose -- 5.2.2.2 Hemicellulose -- 5.2.2.3 Lignin -- 5.2.2.4 Release of the Chemisorbed Functional Groupsfunctional groups -- 5.2.2.5 BiomassBiomass Volatilization -- 5.3…Fast Biomass PyrolysisPyrolysis -- 5.3.1 Secondary Gas-Phase Reactionsgas-phase reactions -- 5.3.2 Model Predictions and Comparisons with Experimental Measurements -- 5.4…Conclusion -- Acknowledgments -- Part IIObtaining Reliable Experimental Data to Validate Models Under a Wide Range of Experimental Conditions -- 6 Speciation in Shock Tubes -- Abstract -- 6.1…Introduction -- 6.2…Single Pulse Shock Tubeshock tube -- 6.2.1 Principle of Single Pulse Shock Tubeshock tube -- 6.2.2 Data AcquisitionData acquisition -- 6.2.3 Validation of Single Pulse Shock TubeValidation of single pulse shock tube -- 6.2.4 Reactions of Oxygenates and Aromatic Hydrocarbons -- 6.3…Time-of-FlightTime-of-flight Mass Spectrometry and Shock Tubeshock tubes -- 6.3.1 Formation of Polyaromatic Hydrocarbonspolyaromatic hydrocarbons -- 6.4…Conclusion -- Acknowledgments -- References -- 7 Rapid Compression Machines -- Abstract -- 7.1…Overview of the Rapid Compression Machine -- 7.2…Design of the Rapid Compression Machine -- 7.2.1 Review of the Main RCMRCMs Technologies -- 7.2.1.1 Single Piston -- 7.2.1.2 Twin Piston RCMRCM -- 7.2.1.3 Camshaft Connection. 7.2.2 Improvements to RCMRCMs -- 7.2.2.1 Temperature Homogeneity -- 7.2.2.2 Piston Positioning -- 7.3…Validation of the Rapid Compression Machine -- 7.3.1 Constant Volume and Pressure Process -- 7.3.2 Reproducibility -- 7.4…Modelling of the Rapid Compression Machine -- 7.4.1 Thermodynamic Model -- 7.4.2 Computational Fluid Dynamics -- 7.5…Diagnostics and Typical RCMRCM Results -- 7.5.1 Pressure Profile -- 7.5.2 Optical Diagnostics -- 7.5.2.1 Direct Visualisation -- 7.5.2.2 Laser-Based Diagnostics -- 7.5.3 Rapid Sampling -- 7.6…Conclusion -- References -- 8 Jet-Stirred Reactors -- Abstract -- 8.1…Overview of the Jet-Stirred Reactor -- 8.2…Jet-Stirred Reactor Construction Rules -- 8.2.1 The Theory of the Free JetTheory of the Free Jet -- 8.2.2 Criteria of Construction -- 8.2.2.1 Turbulent Jets -- 8.2.2.2 Recycling -- 8.2.2.3 Sonic Limit -- 8.2.2.4 Verification of the Criteria for Nancy JSR -- 8.3…Improvements to Jet-Stirred Reactor -- 8.3.1 Temperature Homogeneity -- 8.3.2 High-Pressure Gas-Phase Kinetic Studies -- 8.3.3 Study of Hetero-Homogeneous ReactionHetero-homogeneous Reactions -- 8.4…Sampling Methods -- 8.5…Analytical Devices -- 8.5.1 Gas Chromatographic Analyses -- 8.5.2 Infrared Spectroscopy -- 8.5.3 SVUV Photo-Ionization Mass Spectrometry -- 8.5.4 Cavity Ringdown Spectroscopy -- 8.6…Effect of Wall ReactionWall Reactions -- 8.7…ModelingModeling and SimulationSimulation -- 8.8…Experimental Studies of Oxygenated Fuels -- References -- 9 Tubular Flow Reactors -- Abstract -- 9.1…Introduction -- 9.2…Fluid Flow Pattern in Tubular Flow Reactorstubular flow reactors -- 9.3…Ideal Plug FlowPlug Flow Reactor Model -- 9.4…Flow Regimes in the Vessel -- 9.5…Temperature GradientsTemperature gradients in the Reactor -- 9.6…An Example of a Laboratory Scale Tubular Flow Reactor -- 9.7…Oxygenated CompoundsOxygenated compounds. 9.8…Alcohols: Methanol, Ethanolethanol, Propanolpropanol, Butanol -- 9.8.1 MethanolMethanol -- 9.8.2 EthanolEthanol -- 9.8.3 PropanolPropanol -- 9.8.4 ButanolButanol -- 9.9…Ethers: Dimethyletherdimethylether and Dimethoxymethanedimethoxymethane -- 9.9.1 Dimethylether -- 9.9.2 DimethoxymethaneDimethoxymethane -- References -- 10 Flame Studies of Oxygenates -- Abstract -- 10.1…Introduction -- 10.2…Laminar Burning Velocities -- 10.2.1 Bunsen Flames -- 10.2.2 Spherically Expanding Flames -- 10.2.3 Counterflow Flames -- 10.2.4 Premixed Planar Flames -- 10.2.5 Summary -- 10.3…Flame Structure -- 10.3.1 Nonintrusive Laser Diagnostics -- 10.3.2 Probe Sampling Methods -- 10.3.3 Temperature Measurements -- 10.4…Alcohols -- 10.4.1 Methanol -- 10.4.2 Ethanol -- 10.4.3 Propanol -- 10.4.4 Butanol -- 10.4.5 n-Pentanol -- 10.4.6 n-Hexanol -- 10.4.7 Summary -- 10.5…Ketones -- 10.5.1 Acetone -- 10.5.2 Methyl-Ethyl and Diethyl Ketones -- 10.5.3 Summary -- 10.6…Aldehydes -- 10.6.1 Formaldehyde -- 10.6.2 Acetaldehyde -- 10.6.3 Propionaldehyde -- 10.6.4 Summary -- 10.7…Carboxylic Acids -- 10.8…Ethers -- 10.8.1 Dimethyl Ether -- 10.8.2 Diethyl Ether -- 10.8.3 Ethyl Tert-Butyl Ether -- 10.8.4 Dimethoxy Methane -- 10.8.5 1,2-Dimethoxy Ethane -- 10.8.6 Summary -- 10.9…Esters -- 10.9.1 Methyl Formate -- 10.9.2 Methyl Acetate -- 10.9.3 Methyl Butanoate -- 10.9.4 Methyl Isobutanoate -- 10.9.5 Methyl Octanoate -- 10.9.6 Methyl Decanoate -- 10.9.7 Ethyl Formate -- 10.9.8 Ethyl Acetate -- 10.9.9 Ethyl Propanoate, Ethyl Butanoate, Ethyl Pentanoate -- 10.9.10 Methyl Crotonate -- 10.9.11 Methyl Methacrylate and Ethyl Propenoate -- 10.9.12 Dimethyl Carbonate -- 10.9.13 Palm Methyl Esters -- 10.9.14 Summary -- 10.10…Cyclic Compounds -- 10.10.1 Furan -- 10.10.2 2-Methylfuran -- 10.10.3 2,5-Dimethylfuran -- 10.10.4 Tetrahydrofuran -- 10.10.5 Tetrahydropyran -- 10.10.6 1,4-Dioxane. 10.11…Summary. This book describes the reactive chemistry of minor pollutants within extensively validated detailed mechanisms for traditional fuels, and also for innovative surrogates, describing the complex chemistry of new, environmentally important bio-fuels. EBL201804 Engineering SzGeCERN EBL Chemical kinetics BOOK Blurock, Edward Simmie, John M https://cds.cern.ch/auth.py?r=EBLIB_P_1466865 ebook n 201814 201804 21 PUBLIC BOOK DELETED 2312582 SzGeCERN 20191015172154.0 DOI 10.22323/1.313.0003 oai:inspirehep.net:1664991 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d 2018-04-12T04:00:04Z marcxml oai:inspirehep.net:1664991 2018-04-11T13:15:12Z Inspire 1664991 eng Voulgari, Evgenia Evgenia.Voulgari@epfl.ch CERN Ecole Polytechnique, Lausanne Characterization of a 9-decade femtoampere ASIC front-end for radiation monitoring SISSA 2017 5 p SISSA An ultra-low current sensing digitizer circuit was designed for radiation monitoring for personnel and environmental safety at CERN.The Ultralow Picoammeter 2 (Utopia 2) ASIC includes some key functionalities like on-chip active leakage current compensation, charge balancing and range changing. It was designed in AMS 0.35 $\mu$m technology that was selected for its low leakage current performance. The architecture is based on the asynchronous current to frequency converter (CFC) and the front-end can digitize input currents over a wide dynamic range of 9 decades. If the measurement time is equal to 100 s, the ASIC can measure current as low as 1 femtoampere (fA). The calibration procedure and the measurements of the Utopia 2 ASIC are summarized in this article. The ASIC has been characterized for its ultra-low current performance at the Swiss Federal Institute of Metrology (METAS). CC-BY-NC-ND-4.0 SISSA https://creativecommons.org/licenses/by-nc-nd/4.0/ publication Copyright owned by the author(s) SzGeCERN Detectors and Experimental Techniques CERN Noy, Matthew CERN Anghinolfi, Francis CERN Perrin, Daniel CERN Krummenacher, François Ecole Polytechnique, Lausanne Kayal, Maher Ecole Polytechnique, Lausanne 003 C17-09-11.3 2017 PoS TWEPP-17 https://pos.sissa.it/313/003/pdf PoS server 1396594 5158025 http://cds.cern.ch/record/2312582/files/PoS(TWEPP-17)003.pdf Fulltext 13 2274103 santa cruz20170911 003 ARTICLE ConferencePaper 0-0-0-1-0-0-1 2018-03-29 14:53:16 Invenio/1.1.2.1260-aa76f refextract/1.5.44 content.pdf;1 G. Venturini, F. Anghinolfi, B. Dehning, F. Krummenacher, M. Kayal 1 Microelectron.J.,44,1302-1308 A 120dB dynamic-range radiation-tolerant charge-to-digital converter for radiation monitoring 2013 CURATOR G. Mazza, R. Cirio, M. Donetti, A. La Rosa, A. Luparia, F. Marchetto, C. Peroni 2 IEEE IEEE Trans.Nucl.Sci.,52,847-853 A 64-channel wide dynamic range charge measurement ASIC for strip and pixel ionization detectors Nuclear Science Transactions, 52(4), 847-853 2005 1425823 E. Voulgari, M. Noy, F. Anghinolfi, D. Perrin, F. Krummenacher, M. Kayal A front-end ASIC for ionising radiation monitoring with femto-amp capabilities 3 JINST,11,C02071 2016 CURATOR E. Voulgari, M. Noy, F. Anghinolfi, D. Perrin, F. Krummenacher, M. Kayal International Journal of Microelectronics and Computer Science, vol. 6, no. 3 4 Design considerations for an 8-decade current-to-digital converter with fA sensitivity 2015 CURATOR E. Voulgari, M. Noy, F. Anghinolfi, D. Perrin, F. Krummenacher, M. Kayal In 15th IEEE International New Circuits and Systems Conference (NEWCAS) (pp. 345-348) 5 IEEE IEEE A 9-decade current to frequency converter with active leakage compensation 2017 2312396 SzGeCERN 20220817145951.0 DOI 10.22323/1.313.0048 oai:inspirehep.net:1665015 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d 2018-04-11T04:00:07Z marcxml oai:inspirehep.net:1665015 2018-04-10T16:02:16Z Inspire 1665015 eng Troska, Jan jan.troska@cern.ch CERN The VTRx+, an optical link module for data transmission at HL-LHC SISSA 2017 5 p Optical data transmission will remain a key enabling technology for the upgrading detectors at HL-LHC. In particular the inner tracking detectors will require low-mass, radiation tolerant optical transmit and receive modules for tight integration in the detector front-ends. We describe the development of such a module, giving details of the design, functional and environmental performance, as well as showing the feasibility of achieving small size, low-mass, and low-power operation. SISSA CC-BY-NC-ND-4.0 https://creativecommons.org/licenses/by-nc-nd/4.0/ publication Copyright owned by the author(s) SzGeCERN Detectors and Experimental Techniques CERN CERN HL-LHC Brandon-Bravo, Alexander CERN Detraz, Stephane CERN Kraxner, Andrea CERN Olanterä, Lauri CERN Scarcella, Carmelo CERN Sigaud, Christophe CERN Soos, Csaba CERN Vasey, Francois CERN 048 C17-09-11.3 2017 PoS TWEPP-17 https://pos.sissa.it/313/048/pdf PoS server 1396267 669211 http://cds.cern.ch/record/2312396/files/PoS(TWEPP-17)048.pdf Fulltext 13 2274103 santa cruz20170911 048 ARTICLE ConferencePaper 0-0-1-1-0-0-0 2018-03-29 15:56:50 Invenio/1.1.2.1260-aa76f refextract/1.5.44 content.pdf;1 CURATOR P. Moreira in ACES 2016 - Fifth Common ATLAS CMS Electronics Workshop for LHC Upgrades, CERN, March 1 The LpGBT project status and overview 2016 1516097 Z. Zeng, T. Zhang, G. Wang, P. Gui, S. Kulis, and P. Moreira LDQ10: a compact ultra low-power radiation-hard 4 × 10 Gb/s driver array 2 JINST,12,P02020 2017 CURATOR M. Menouni, P. Gui, and P. Moreira in Topical Workshop on Electronics for Particle Physics (TWEPP2009) 3 The GBTIA, a 5 Gbit/s Radiation-Hard Optical Receiver for the SLHC Upgrades 2009 827605 L. Amaral, S. Dris, A. Gerardin, T. Huffman, C. Issever, A. J. Pacheco, M. Jones, S. Kwan, S. C. Lee, Z. Liang, T. Liu, Z. Meng, A. Prosser, S. Padadopoulos, I. Papakonstanstinou, C. Sigaud, S. Silva, C. Soos, P. Stejskal, J. Troska, F. Vasey, P. Vichoudis, T. Weidberg, A. Xiang, and J. Ye The Versatile Link, a common project for super-LHC 4 JINST,4,P12003 2009 1471027 F. Vasey, D. Hall, T. Huffman, S. Kwan, A. Prosser, C. Soos, J. Troska, T. Weidberg, A. Xiang, and J. Ye The Versatile Link common project: feasibility report 5 JINST,7,C01075 2012 2312296 SzGeCERN 20191015172036.0 oai:inspirehep.net:1665059 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS 10.22323/1.313.0124 DOI http://inspirehep.net/oai2d 2018-04-10T04:00:08Z marcxml oai:inspirehep.net:1665059 2018-04-09T15:17:26Z Inspire 1665059 eng Brandao de Souza Mendes, Eduardo eduardo.brandao.de.souza.mendes@cern.ch CERN Demonstrating TTC-PON robustness and flexibility SISSA 2018 5 p In 2016, a TTC-PON (Timing, Trigger and Control system based on Passive Optical Networks) demonstrator was presented at TWEPP as an alternative to replace the TTC system, currently responsible for delivering timing, trigger and control commands in the LHC experiments. Towards a deployment foreseen for ALICE phase-1 upgrade, the system has been consolidated through flexible software implementation providing full configuration, complete calibration and extended monitoring and diagnostic tools. A new demonstrator setup was built with various FPGA platforms to test the system with an increased number of nodes and under different environmental conditions. This paper focuses on the TTC-PON system design with a discussion on its features and scaled-up tests. SISSA CC-BY-NC-ND-4.0 https://creativecommons.org/licenses/by-nc-nd/4.0/ publication Copyright owned by the author(s) SzGeCERN Detectors and Experimental Techniques CERN CERN LHC ALICE Baron, Sophie email:sophie.baron@cern.ch CERN INSPIRE-00305597 Soos, Csaba email:csaba.soos@cern.ch CERN INSPIRE-00247655 Saint-Germain, Logan logansaintgermain@gmail.com Bordeaux II U. Vasey, Francois email:francois.vasey@cern.ch CERN INSPIRE-00140168 124 C17-09-11.3 2018 PoS TWEPP-17 https://pos.sissa.it/313/124/pdf PoS server 1396078 610140 http://cds.cern.ch/record/2312296/files/PoS(TWEPP-17)124.pdf Fulltext 13 2274103 santa cruz20170911 124 ARTICLE ConferencePaper 0-0-0-1-1-0-0 2018-03-29 16:00:42 Invenio/1.1.2.1260-aa76f refextract/1.5.44 content.pdf;1 946569 I. Papakonstantinou, C. Soos, S. Papadopoulos, S. Detraz, C. Sigaud, P. Stejskal et al. A fully bidirectional optical network with latency monitoring capability for the distribution of timing-trigger and control signals in high-energy physics experiments 1 IEEE Trans.Nucl.Sci.,58,1628-1640 2011 1513911 E. Mendes, S. Baron, D. Kolotouros, C. Soos and F. Vasey The 10g ttc-pon: challenges, solutions and performance 2 JINST,12,C02041 2017 M. Krivda, D. Evans, K. Graham, A. Jusko, R. Lietava, O. Baillie et al. 3 The alice trigger system for lhc run 3 https://indico.cern.ch/event/608587/contributions/2614820 2018 2312278 SzGeCERN 20180410204934.0 DOI Institute of Physics, Polish Academy of Science 10.12693/APhysPolA.132.1443 oai:inspirehep.net:1643356 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d 2018-04-10T04:00:08Z marcxml oai:inspirehep.net:1643356 2018-04-09T13:14:58Z Inspire 1643356 eng Consolati, G Milan Polytechnic INFN, Milan INFN Milano, via Celoria 16, 20133, Milano, Italy Polish Acadaemy of Sciences Positronium for Antihydrogen Production in the AEGIS Experiment 2017 7 p The primary goal of the Antihydrogen Experiment: Gravity, Interferometry, Spectroscopy (AEGIS) collaboration is to measure for the first time precisely the gravitational acceleration of antihydrogen, H¯ , a fundamental issue of contemporary physics, using a beam of antiatoms. Indeed, although indirect arguments have been raised against a different acceleration of antimatter with respect to matter, nevertheless some attempts to formulate quantum theories of gravity, or to unify gravity with the other forces, consider the possibility of a non-identical gravitational interaction between matter and antimatter. We plan to generate H¯ through a charge-exchange reaction between excited Ps and antiprotons coming from the Antiproton Decelerator facility at CERN. It offers the advantage to produce sufficiently cold antihydrogen to make feasible a measurement of gravitational acceleration with reasonable uncertainty (of the order of a few percent). Since the cross-section of the above reaction increases with n 4 , n being the principal quantum number of Ps, it is essential to generate Ps in a highly excited (Rydberg) state. This will occur by means of two laser excitations of Ps emitted from a nanoporous silica target: a first UV laser (at 205 nm) will bring Ps from the ground to the n = 3 state; a second laser pulse (tunable in the range 1650–1700 nm) will further excite Ps to the Rydberg state. SzGeCERN Particle Physics - Experiment CERN CERN AEgIS Aghion, S Milan Polytechnic INFN, Milan INFN Milano, via Celoria 16, 20133, Milano, Italy Amsler, C Stefan Meyer Inst. Subatomare Phys. Bonomi, G INFM, Brescia INFN, Pavia INFN Pavia, via Bassi 6, 27100 Pavia, Italy Brusa, R S Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Caccia, M INFN, Milan Insubria U., Como Department of Science, University of Insubria, Via Valleggio 11, 22100 Como, Italy Caravita, R Genoa U. INFN, Genoa CERN INFN Genova, via Dodecaneso 33, 16146 Genova, Italy Castelli, F INFN, Milan Milan U. Department of Physics, University of Milano, via Celoria 16, 20133 Milano, Italy Cerchiari, G Heidelberg, Max Planck Inst. Comparat, D LAC, Orsay Demetrio, A Kirchhoff Inst. Phys. Di Noto, L Genoa U. INFN, Genoa INFN Genova, via Dodecaneso 33, 16146 Genova, Italy Doser, M CERN Evans, C Milan Polytechnic INFN, Milan INFN Milano, via Celoria 16, 20133, Milano, Italy Fanì, M Genoa U. INFN, Genoa CERN INFN Genova, via Dodecaneso 33, 16146 Genova, Italy Ferragut, R Milan Polytechnic INFN, Milan INFN Milano, via Celoria 16, 20133, Milano, Italy Fesel, J CERN Fontana, A INFN, Pavia Gerber, S CERN Giammarchi, M INFN, Milan Gligorova, A Stefan Meyer Inst. Subatomare Phys. Guatieri, F Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Haider, S CERN Hinterberger, A CERN Holmestad, H Oslo U. Kellerbauer, A Heidelberg, Max Planck Inst. Khalidova, O CERN Krasnicky, D INFN, Genoa Lagomarsino, V Genoa U. INFN, Genoa INFN Genova, via Dodecaneso 33, 16146 Genova, Italy Lansonneur, P Lyon, IPN Lebrun, P Lyon, IPN Malbrunot, C Stefan Meyer Inst. Subatomare Phys. CERN Physics Department, CERN, 1211 Geneva 23, Switzerland Mariazzi, S INFN, Padua Marton, J Stefan Meyer Inst. Subatomare Phys. Matveev, V Moscow, INR Dubna, JINR Joint Institute for Nuclear Research, 141980 Dubna, Russia Mazzotta, Z INFN, Milan Milan U. Department of Physics, University of Milano, via Celoria 16, 20133 Milano, Italy Müller, S R Kirchhoff Inst. Phys. Nebbia, G INFN, Padua Nedelec, P Lyon, IPN Oberthaler, M Kirchhoff Inst. Phys. Pacifico, N CERN Pagano, D INFM, Brescia INFN, Pavia INFN Pavia, via Bassi 6, 27100 Pavia, Italy Penasa, L Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Petracek, V Prague, Tech. U. Prelz, F INFN, Milan Prevedelli, M U. Bologna (main) Ravelli, L Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Rienaecker, B CERN Robert, J LAC, Orsay Røhne, O M Oslo U. Rotondi, A INFN, Pavia Pavia U. Department of Physics, University of Pavia, via Bassi 6, 27100 Pavia, Italy Sandaker, H Oslo U. Santoro, R INFN, Milan Insubria U., Como Department of Science, University of Insubria, Via Valleggio 11, 22100 Como, Italy Smestad, L CERN Res. Council, Norway The Research Council of Norway, P.O. Box 564, NO-1327 Lysaker, Norway Sorrentino, F Genoa U. INFN, Genoa INFN Genova, via Dodecaneso 33, 16146 Genova, Italy Testera, G INFN, Genoa Tietje, I C CERN Widmann, E Stefan Meyer Inst. Subatomare Phys. Yzombard, P Heidelberg, Max Planck Inst. Zimmer, C CERN Heidelberg, Max Planck Inst. Heidelberg U. Max Planck Institute for Nuclear Physics, Saupfercheckweg 1, 69117 Heidelberg, Germany Zmeskal, J Stefan Meyer Inst. Subatomare Phys. Zurlo, N INFN, Pavia INFM, Brescia Department of Civil, Environmental, Architectural Engineering and Mathematics, University of Brescia, via Branze 43, 25123 Brescia, Italy 1643112 1443-1449 5 C17-08-28.6 2017 Acta Phys. Pol. A 132 1396061 889513 http://cds.cern.ch/record/2312278/files/app132z5p01.pdf Fulltext 13 2308431 lublin20170828 1443-1449 ARTICLE ConferencePaper refextract CURATOR doi:10.1016/0003-4916(57)90032-5 G. Lüders 1 Annals Phys.,2,1 G. Lüders, Ann. Phys. 2, 1 (1957), DOI: 10.1016/0003-4916(57)90032-5 1957 refextract CURATOR doi:10.1103/PhysRevD.55.6760 D. Colladay, V.A. Kostelecky 2 Phys.Rev.,D55,6760 D. Colladay, V.A. Kostelecky, Phys. Rev. D 55, 6760 (1997), DOI: 10.1103/PhysRevD.55.6760 1997 refextract CURATOR doi:10.1016/j.ppnp.2008.08.002 E.G. Adelberger, J.H. Gundlach, B.R. Heckel, S. Hoedl, S. Schlamminger 3 Prog.Part.Nucl.Phys.,62,102 E.G. Adelberger, J.H. Gundlach, B.R. Heckel, S. Hoedl, S. Schlamminger, Prog. Part. Nucl. Phys. 62, 102 (2009), DOI: 10.1016/j.ppnp.2008.08.002 2009 refextract CURATOR doi:10.1103/PhysRevD.70.103515 J. Barrow, R. Scherrer 4 Phys.Rev.,D70,103515 J. Barrow, R. Scherrer, Phys. Rev. D 70, 103515 (2004), DOI: 10.1103/PhysRevD.70.103515 2004 refextract CURATOR doi:10.1103/RevModPhys.64.237 T.W. Darling, F. Rossi, G.I. Opat, G.F. Moorhead 5 Rev.Mod.Phys.,64,237 T.W. Darling, F. Rossi, G.I. Opat, G.F. Moorhead, Rev. Mod. Phys. 64, 237 (1992), DOI: 10.1103/RevModPhys.64.237 1992 refextract CURATOR doi:10.1088/0264-9381/29/18/184009 M. Doser et al. (AEGIS collaboration) 6 Class.Quant.Grav.,29,184009 M. Doser et al. (AEGIS collaboration), Class. Quantum Grav. 29, 184009 (2012), DOI: 10.1088/0264-9381/29/18/184009 2012 refextract CURATOR doi:10.1016/0370-2693(96)00005-6 G. Baur, G. Boero, S. Brauksiepe, A. Buzzo, W. Eyrich, G. Geyer, D. Grzonka, J. Hauffe, K. Kilian, M. LoVetere, M. Macri, M. Moosburger, R. Nellen, W. Oelert, S. Passaggio, A. Pozzo, K. Röhrich, K. Sachs, G. Schepers, T. Sefzick, R.S. Simon, R. Stratmann, F. Stinzing, M. Wolke 7 Phys.Lett.,B368,251 G. Baur, G. Boero, S. Brauksiepe, A. Buzzo, W. Eyrich, G. Geyer, D. Grzonka, J. Hauffe, K. Kilian, M. LoVetere, M. Macri, M. Moosburger, R. Nellen, W. Oelert, S. Passaggio, A. Pozzo, K. Röhrich, K. Sachs, G. Schepers, T. Sefzick, R.S. Simon, R. Stratmann, F. Stinzing, M. Wolke, Phys. Lett. B 368, 251 (1996), DOI: 10.1016/0370-2693(96)00005-6 1996 refextract CURATOR doi:10.1103/PhysRevLett.80.3037 G. Blanford, D.C. Christian, K. Gollwitzer, M. Mandelkern, C.T. Munger, J. Schultz, G. Zioulas 8 Phys.Rev.Lett.,80,3037 G. Blanford, D.C. Christian, K. Gollwitzer, M. Mandelkern, C.T. Munger, J. Schultz, G. Zioulas, Phys. Rev. Lett. 80, 3037 (1998), DOI: 10.1103/PhysRevLett.80.3037 1998 refextract CURATOR doi:10.1038/nature01096 M. Amoretti ATHENA collaboration 9 Nature,419,456 M. Amoretti, ATHENA collaboration, Nature 419, 456 (2002), DOI: 10.1038/nature01096 2002 refextract CURATOR doi:10.1103/PhysRevLett.89.213401 G. Gabrielse ATRAP collaboration 10 Phys.Rev.Lett.,89,213401 G. Gabrielse, ATRAP collaboration, Phys. Rev. Lett. 89, 213401 (2002), DOI: 10.1103/PhysRevLett.89.213401 2002 refextract CURATOR doi:10.1016/j.nimb.2007.12.010 A. Kellerbauer AEGIS collaboration 11 Nucl.Instrum.Meth.,B266,351 A. Kellerbauer, AEGIS collaboration, Nucl. Instrum. Methods Phys. Res. B 266, 351 (2008), DOI: 10.1016/j.nimb.2007.12.010 2008 refextract CURATOR doi:10.1016/j.nimb.2011.04.108 S. Cialdi, I. Boscolo, F. Castelli, F. Villa, G. Ferrari, M.G. Giammarchi 12 Nucl.Instrum.Meth.,B269,1527 S. Cialdi, I. Boscolo, F. Castelli, F. Villa, G. Ferrari, M.G. Giammarchi, Nucl. Instrum. Methods Phys. Res. B 269, 1527 (2011), DOI: 10.1016/j.nimb.2011.04.108 2011 refextract CURATOR doi:10.1103/PhysRevA.76.023405 E. Vliegen, S.D. Hogan, H. Schmutz, F. Merkt 13 Phys.Rev.,A76,023405 E. Vliegen, S.D. Hogan, H. Schmutz, F. Merkt, Phys. Rev. A 76, 023405 (2007), DOI: 10.1103/PhysRevA.76.023405 2007 refextract CURATOR doi:10.1103/PhysRevA.54.3165 M.K. Oberthaler, S. Bennet, E.M. Rasel, J. Schniedmayer, A. Zeilinger 14 Phys.Rev.,A54,3165 M.K. Oberthaler, S. Bennet, E.M. Rasel, J. Schniedmayer, A. Zeilinger, Phys. Rev. A 54, 3165 (1996), DOI: 10.1103/PhysRevA.54.3165 1996 refextract CURATOR doi:10.1016/j.nima.2014.06.036 N. Pacifico et al. (AEGIS collaboration) 15 Nucl.Instrum.Meth.,A765,161 N. Pacifico et al. (AEGIS collaboration), Nucl. Instrum. Methods Phys. Res. A 765, 161 (2014), DOI: 10.1016/j.nima.2014.06.036 2014 refextract CURATOR doi:10.1088/1748-0221/9/05/C05013 T. Poikela, J. Plosila, T. Westerlund, M. Campbell, M. De Gaspari, X. Llopart, V. Gromov, R. Kluit, M. van Beuzekom, F. Zappon, V. Zivkovic, C. Brezina, K. Desch, Y. Fu, A. Kruth 16 JINST,9,C05013 T. Poikela, J. Plosila, T. Westerlund, M. Campbell, M. De Gaspari, X. Llopart, V. Gromov, R. Kluit, M. van Beuzekom, F. Zappon, V. Zivkovic, C. Brezina, K. Desch, Y. Fu, A. Kruth, JINST 9, C05013 (2014), DOI: 10.1088/1748-0221/9/05/C05013 2014 refextract CURATOR doi:10.1016/j.nima.2013.04.082 M. Kimura AEGIS collaboration 17 Nucl.Instrum.Meth.,A732,325 M. Kimura, AEGIS collaboration, Nucl. Instrum. Methods Phys. Res. A 732, 325 (2013), DOI: 10.1016/j.nima.2013.04.082 2013 refextract CURATOR doi:10.1088/1748-0221/8/08/P08013 S. Aghion AEGIS collaboration 18 JINST,8,P08013 S. Aghion, AEGIS collaboration, JINST 8, P08013 (2013), DOI: 10.1088/1748-0221/8/08/P08013 2013 refextract CURATOR doi:10.1063/1.97441 A.P. Mills Jr., E.M. Gullikson 19 Appl.Phys.Lett.,49,1121 A.P. Mills, Jr., E.M. Gullikson, Appl. Phys. Lett. 49, 1121 (1986), DOI: 10.1063/1.97441 1986 refextract CURATOR doi:10.1103/RevModPhys.87.247 J.R. Danielson, D.H.E. Dubin, R.G. Greaves, C.M. Surko 20 Rev.Mod.Phys.,87,247 J.R. Danielson, D.H.E. Dubin, R.G. Greaves, C.M. Surko, Rev. Mod. Phys. 87, 247 (2015), DOI: 10.1103/RevModPhys.87.247 2015 refextract CURATOR doi:10.1016/j.nimb.2015.08.097 S. Aghion AEGIS collaboration 21 Nucl.Instrum.Meth.,B362,86 S. Aghion, AEGIS collaboration, Nucl. Instrum. Methods Phys. Res. B 362, 86 (2015), DOI: 10.1016/j.nimb.2015.08.097 2015 refextract CURATOR doi:10.1103/PhysRevB.81.235418 S. Mariazzi, P. Bettotti, S. Larcheri, L. Toniutti, R.S. Brusa 22 Phys.Rev.,B81,235418 S. Mariazzi, P. Bettotti, S. Larcheri, L. Toniutti, R.S. Brusa, Phys. Rev. B 81, 235418 (2010), DOI: 10.1103/PhysRevB.81.235418 2010 refextract CURATOR doi:10.1103/PhysRevLett.104.243401 S. Mariazzi, P. Bettotti, R.S. Brusa 23 Phys.Rev.Lett.,104,243401 S. Mariazzi, P. Bettotti, R.S. Brusa, Phys. Rev. Lett. 104, 243401 (2010), DOI: 10.1103/PhysRevLett.104.243401 2010 refextract CURATOR doi:10.1063/1.2203336 D.B. Cassidy, S.H.M. Deng, H.K.M. Tanaka, A.P. Mills Jr 24 Appl.Phys.Lett.,88,194105 D.B. Cassidy, S.H.M. Deng, H.K.M. Tanaka, A.P. Mills, Jr., Appl. Phys. Lett. 88, 194105 (2006), DOI: 10.1063/1.2203336 2006 refextract CURATOR doi:10.1103/PhysRevA.94.012507 S. Aghion et al. (AEGIS collaboration) 25 Phys.Rev.,A94,012507 S. Aghion et al. (AEGIS collaboration), Phys. Rev. A 94, 012507 (2016), DOI: 10.1103/PhysRevA.94.012507 2016 refextract CURATOR doi:10.1140/epjd/e2014-40762-x S.L. Andersen, R.R. Johansen, J.B. Overgaard, J.K. Mortensen, K.K. Andersen, H.D. Thomsen, M.D. Lund, J. Chevallier, H. Knudsen, U.I. Uggerhj 26 Eur.Phys.J.,D68,124 S.L. Andersen, R.R. Johansen, J.B. Overgaard, J.K. Mortensen, K.K. Andersen, H.D. Thomsen, M.D. Lund, J. Chevallier, H. Knudsen, U.I. Uggerhj, Eur. Phys. J. D 68, 124 (2014), DOI: 10.1140/epjd/e2014-40762-x 2014 refextract CURATOR doi:10.1088/0953-4075/48/20/204003 S.L. Andersen, D.B. Cassidy, J. Chevallier, B.S. Cooper, A. Deller, T.E. Wall, U.I. Uggerhj 27 J.Phys.,B48,204003 S.L. Andersen, D.B. Cassidy, J. Chevallier, B.S. Cooper, A. Deller, T.E. Wall, U.I. Uggerhj, J. Phys. B At. Mol. Opt. Phys. 48, 204003 (2015), DOI: 10.1088/0953-4075/48/20/204003 2015 refextract CURATOR S.L. Andersen Ph.D. Thesis, Department of Physics and Astronomy, Aarhus University 28 S.L. Andersen, Ph.D. Thesis, Department of Physics and Astronomy, Aarhus University, 2015 http://pure.au.dk/portal/files/90669596/thesisSLAndersen.pdf 2015 refextract CURATOR doi:10.1016/j.nimb.2017.05.059 S. Aghion AEGIS collaboration 29 Nucl.Instrum.Meth.,B407,55 S. Aghion, AEGIS collaboration, Nucl. Instrum. Methods Phys. Res. B 407, 55 (2017), DOI: 10.1016/j.nimb.2017.05.059 2017 refextract CURATOR doi:10.1038/ncomms5538 S. Aghion AEGIS collaboration, Nature Commun. 5, 4538 30 S. Aghion, AEGIS collaboration, Nature Commun. 5, 4538 (2014), DOI: 10.1038/ncomms5538 2014 refextract CURATOR doi:10.5506/APhysPolB.46.181 W. Oelert 31 Acta Phys.Polon.,B46,181 W. Oelert, Acta Phys. Pol. B 46, 181 (2015), DOI: 10.5506/APhysPolB.46.181 2015 2311819 SzGeCERN 20210421205149.0 9781447152101 electronic version electronic version 9781447161868 print version oai:cds.cern.ch:2311819 cerncds:BOOK EBL 1398375 eng TK1001-1841TK7881.15 621.3216 Ali, A B M Shawkat Smart grids opportunities, developments, and trends London Springer 2013 233 p ebook Green energy and technology Contents -- 1 The Traditional Power Generation and Transmission System: Some Fundamentals to Overcome Challenges -- Abstract -- 1.1…Introduction -- 1.2…Power System -- 1.2.1 Generation -- 1.2.2 Transmission -- 1.2.3 Distribution -- 1.3…Power System Reliability and Quality -- 1.4…Voltage Profile of Power System -- 1.4.1 Load Characteristics -- 1.4.2 Power Transfer Through Radial Feeder -- 1.4.3 Power Transfer Between Active Sources -- 1.5…Power System Stability and Control -- 1.5.1 Generator Excitation -- 1.5.2 Excitation Control -- 1.5.3 Governor System -- 1.6…Protection System -- 1.7…SCADA System -- 1.8…Conclusions -- References -- 2 Smart Grid -- Abstract -- 2.1…Introduction -- 2.2…Smart Grid: The Definitions -- 2.2.1 Characteristics of Smart Grid -- 2.2.2 Traditional Grid Versus Smart Grid -- 2.3…Evolution of Smart Grid -- 2.4…Components of Smart Grid -- 2.4.1 Monitoring and Control Technology Component -- 2.4.2 Transmission Subsystem Component -- 2.4.3 Smart Devices Interface Component -- 2.4.4 Intelligent Grid Distribution Subsystem Component -- 2.4.5 Storage Component -- 2.4.6 Demand-side Management Component -- 2.5…The Environmental Impacts of Smart Grid -- 2.5.1 Reduce Greenhouse Gas Emissions -- 2.6…Overview of the Technologies Required for Smart Grid -- 2.7…The Future: The Key Challenges -- 2.8…Experiments to Select the Base Regression Algorithms of the Hybrid Prediction Method for Smart Grid -- 2.8.1 Experiment Design -- 2.9…Summary -- References -- 3 Renewable Energy Integration: Opportunities and Challenges -- Abstract -- 3.1…Introduction -- 3.2…Current Power System -- 3.3…Renewable Energy -- 3.3.1 Solar Energy -- 3.3.2 Wind Energy -- 3.4…Distributed Energy Resources: Integration Challenges -- 3.4.1 Forecasting and Scheduling -- 3.4.2 Smart GridSmart Grid -- 3.4.3 Impacts of Renewable Energy into the Grid. 3.4.3.1 Power Quality Problems -- 3.4.3.2 Existing Research on Integrating DER with the Grid -- 3.4.3.3 Impacts of DER Integration: A Case Study -- 3.5…Benefits of RE -- 3.6…Conclusions -- 4 Energy Storage: Applications and Advantages -- Abstract -- 4.1…Introduction -- 4.2…Different Energy Storage Technologies -- 4.2.1 Battery Energy Storage System (BESS) -- 4.2.2 Superconducting Magnetic Energy Storage (SMES) -- 4.2.3 Super Capacitors Energy Storage (SCES) -- 4.2.4 Flywheel Energy Storage (FES) -- 4.2.5 Thermal Energy Storage (TES) -- 4.2.6 Pumped Hydroelectric Storage (PHS) -- 4.2.7 Compressed Air Energy Storage (CAES) -- 4.2.8 Hydrogen Energy Storage (HES) -- 4.3…Applications of Energy Storage System -- 4.3.1 Technical Benefit of ESS -- 4.3.2 Financial Benefit of ESS -- 4.3.3 Environmental Benefit of ESS -- 4.4…Cost of Energy Storage System -- 4.5…Classification of Energy Storage -- 4.6…Integration of Energy Storage into the Power Network -- 4.7…Role of Energy Storage: Case Studies -- 4.7.1 Case Study 1: Storage Role on DT Loading and Minimizing Fluctuations -- 4.7.2 Case Study 2: Economical and Environmental Benefit of Using Energy Storage -- 4.8…Future of Energy Storage and Conclusions -- References -- 5 Smart Meter -- Abstract -- 5.1…Details Description of Smart Meter -- 5.1.1 Benefits of Smart Meter -- 5.1.2 Requirement of Smart Meter in Smart Distribution Network -- 5.1.3 Technical Configurations of Smart Meter -- 5.1.4 Smart Meter Monitoring Program -- 5.1.5 Impact of Smart Meter in Distribution System -- 5.2…Smart Meter in Distribution Network -- 5.2.1 Components of Smart Meter Network in Distribution System -- 5.2.2 Characteristics of Smart Meter in Distribution Network -- 5.3…Roles of Communication ProtocolCommunication Protocol or Standard in Smart Meter Network -- 5.3.1 Communication ProtocolCommunication Protocols. 5.3.2 Communication StandardCommunication Standard -- 5.4…BandwidthBandwidth Requirement for Smart Meter Distribution Network -- 5.5…Communication Coverage of Smart Meter Distribution Network -- 5.6…Conclusions -- References -- 6 Demand Forecasting in Smart Grid -- Abstract -- 6.1…Introduction -- 6.2…State-of-the-Art -- 6.3…Electricity Demand Data -- 6.4…Time Series Analysis -- 6.5…Algorithm Description -- 6.6…Experimental Results -- 6.7…Conclusions -- References -- 7 Database Systems for the Smart Grid -- Abstract -- 7.1…Introduction -- 7.2…Power Grid Database Management -- 7.2.1 Database Management Technologies -- 7.2.2 Generation Data Management -- 7.2.3 Transmission and Distribution Data Management -- 7.2.4 Utilization Data Management -- 7.3…Power Grid Data Mining -- 7.3.1 Data Mining Technologies -- 7.3.2 Data Mining for Generation -- 7.3.3 Data Mining for Transmission and Distribution -- 7.3.4 Data Mining for Utilization -- 7.4…Conclusion -- Acknowledgments -- References -- 8 Securing the Smart Grid: A Machine Learning Approach -- Abstract -- 8.1…Introduction -- 8.2…Smart Power Generation -- 8.2.1 Incorporating Renewable Sources -- 8.2.2 Energy Storage Technologies -- 8.2.3 Mitigation of Peak Demand -- 8.2.4 Forecasting Renewable Energy Supply -- 8.3…Smart GridSmart Grid SecuritySecurity Issues -- 8.3.1 System Level Threats -- 8.3.2 Radio Subversion or Takeover -- 8.3.3 Network Barge-in by Strangers -- 8.3.4 Denial of Service -- 8.3.5 Malicious Code -- 8.3.6 Glitching -- 8.4…System Level Theft of Service -- 8.4.1 Cloning -- 8.4.2 Migration -- 8.4.3 Meter/Communication Module Interface Intrusion -- 8.5…Breach of Privacy or Confidentiality -- 8.5.1 Meter Compromise -- 8.5.2 RF Interception -- 8.5.3 Forwarding Point Compromise -- 8.5.4 Backbone Network Interception -- 8.5.5 Bus Sniffing -- 8.5.6 Key Compromise -- 8.6…Threat Mitigation. 8.6.1 Physical SecuritySecurity -- 8.6.2 Privacy and SecuritySecurity of Data -- 8.6.3 Authentication and Access Control -- 8.6.4 Securing Networked Devices and Systems -- 8.6.5 Maintaining Overall SecuritySecurity -- 8.7…An Intelligent DoS Attack Prevention Mechanism -- 8.8…Data Collection -- 8.8.1 Similarity Between Attacks and Other Activities -- 8.8.2 DoS Using Real-time Disk Operating System -- 8.8.3 HTTP-DoS Attack Using Low Orbit Ion Cannon -- 8.8.4 Ping Flood Attack -- 8.8.5 SYN Flood Attack Using Engage Packet Builder -- 8.9…Experimental Outcome -- 8.10…Discussions -- References -- 9 Smart Grid Communication and Networking Technologies: Recent Developments and Future Challenges -- Abstract -- 9.1…Introduction -- 9.2…Communication and Networking in the Legacy Power Grid -- 9.2.1 SCADA System -- 9.2.2 Communication and Networking in the Smart GridSmart Grid -- 9.2.3 Network Topologies -- 9.2.3.1 Home Area Network -- 9.2.3.2 Neighbouring Area Network -- 9.2.3.3 Wide Area Networking -- 9.2.4 Communication Technologies for the Smart GridSmart Grid -- 9.2.4.1 ZigBee -- 9.2.4.2 WLAN -- 9.2.4.3 WiMAX -- 9.2.4.4 Cellular Networks and Femtocells -- 9.2.5 Standardisation Activities -- 9.2.6 Research Challenges -- 9.2.6.1 Smart Home Networks -- 9.2.6.2 Seamless Interoperability -- 9.2.6.3 Transmission Network and Route Optimisation -- 9.2.6.4 Security and Privacy -- 9.2.6.5 Perspective of Developing Countries -- 9.3…Conclusion -- References -- 10 Economy of Smart Grid -- Abstract -- 10.1…Costs of Smart Gridsmart grid -- 10.2…Economic Indicators of Smart Gridsmart grid -- 10.3…Design Variables of Smart Gridsmart grid -- 10.4…A Case Study in Central Queensland -- 10.4.1 Renewable Energy Resources -- 10.4.1.1 Solar Energy Resource -- 10.4.1.2 Wind Energy Resources -- 10.4.2 System Optimization Problem -- 10.4.3 Results and Analysis. 10.4.3.1 Optimization Results -- 10.4.3.2 Sensitivity Results -- 10.5…Summary -- References -- Index. This book provides up to date knowledge, research results, and innovations in smart grids spanning design, implementation, analysis and evaluation of smart grid solutions to the challenging problems in all areas of the power industry. EBL201804 Engineering SzGeCERN EBL Renewable energy sources BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1398375 ebook n 201814 201804 21 PUBLIC https://catalogue.library.cern/legacy/2311819 BOOK MIGRATED 2311813 SzGeCERN 20200503231955.0 9781482226010 print version 9781482226027 electronic version electronic version oai:cds.cern.ch:2311813 cerncds:BOOK EBL 1375623 eng QA372.K436 2014eb 532.510113 Khan, Abdul A Modeling shallow water flows using the discontinuous Galerkin method Baton Rouge, LA Chapman and Hall/CRC 2014 208 p ebook Front Cover -- Contents -- Preface -- Authors -- Chapter 1: Introduction -- Chapter 2: General formulation of the discontinuous Galerkin method -- Chapter 3: Discontinuous Galerkin method for one-dimensional nonconservative equations -- Chapter 4: One-dimensional conservation laws -- Chapter 5: One-dimensional shallow water flow in nonrectangular channels -- Chapter 6: Two-dimensional conservation laws -- Chapter 7: Two-dimensional shallow water flow in channels with horizontal beds -- Chapter 8: Two-dimensional shallow water flow in channels with bed variations -- Chapter 9: Pollutant transport -- Chapter 10: Concluding remarks -- Back Cover. Replacing the Traditional Physical Model Approach Computational models offer promise in improving the modeling of shallow water flows. As new techniques are considered, the process continues to change and evolve. Modeling Shallow Water Flows Using the Discontinuous Galerkin Method examines a technique that focuses on hyperbolic conservation laws and includes one-dimensional and two-dimensional shallow water flows and pollutant transports. Combines the Advantages of Finite Volume and Finite Element Methods This book explores the discontinuous Galerkin (DG) method, also known as the discontinuous finite element method, in depth. It introduces the DG method and its application to shallow water flows, as well as background information for implementing and applying this method for natural rivers. It considers dam-break problems, shock wave problems, and flows in different regimes (subcritical, supercritical, and transcritical). Readily Adaptable to the Real World While the DG method has been widely used in the fields of science and engineering, its use for hydraulics has so far been limited to simple cases. The book compares numerical results with laboratory experiments and field data, and includes a set of tests that can be used for a wide range of applications. Provides step-by-step implementation details Presents the different forms in which the shallow water flow equations can be written Places emphasis on the details and modifications required to apply the scheme to real-world flow problems This text enables readers to readily understand and develop an efficient computer simulation model that can be used to model flow, contaminant transport, and other aspects in rivers and coastal environments. It is an ideal resource for practicing environmental engineers and researchers in the area of computational hydraulics and fluid dynamics, and graduate students in computational hydraulics. EBL201804 SzGeCERN Other Fields of Physics BOOK Lai, Wencong https://cds.cern.ch/auth.py?r=EBLIB_P_1375623 ebook 201804 n 201814 21 PUBLIC BOOK DELETED 2311809 SzGeCERN 20180822202549.0 9781466569065 (electronic bk.) electronic version 9781466569058 electronic version EBL 1316403 eng QD549.C558 2014eb 541/.345 Kralchevsky, Peter Colloid and interface chemistry for nanotechnology Baton Rouge, LA Chapman and Hall/CRC 2016 554 p Front Cover -- Contents -- Preface -- Contributors -- Section 1 Nanoparticle Synthesis and Characterization -- Chapter 1 Advanced Strategies for Drug Delivery in Nanomedicine -- Chapter 2 Environmental Impact of Nanomaterials -- Chapter 3 Magnetic Field Directed Self- Assembly of Magnetic Nanoparticles into Higher- Order Structures -- Chapter 4 Particle- Surfactant Interaction at Liquid Interfaces -- Chapter 5 Magnetic- Core Microgels -- Chapter 6 The Central Role of Interparticle Forces in Colloidal Processing of Ceramics -- Chapter 7 Synthesis of Anisotropic Gold Nanocrystals Mediated by Water- Soluble Conjugated Polymers and Lead and Cadmium Salts -- Chapter 8 Assembly of Non- Aqueous Colloidal Dispersions under External Electric Field -- Chapter 9 Oil- in- Water Microemulsions for the Synthesis of Nanocrystalline, Mesoporous, and Ultrafine CeO2 Powders -- Chapter 10 Low- Density Solid Foams Prepared by Simple Methods Using Highly Concentrated Emulsions as Templates -- Section 2 New Experimental Tools and Interpretations -- Chapter 11 Simulation of Interfacial Properties and Droplet Hydrodynamics -- Chapter 12 The Contact Angle as an Analytical Tool -- Chapter 13 Capillary Pressure Experiments with Single Drops and Bubbles -- Chapter 14 AC Electrokinetics in Concentrated Suspensions -- Chapter 15 Interfacial Rheology of Viscoelastic Surfactant- Polymer Layers -- Chapter 16 Hofmeister Effect in Ion- Selective Electrodes from the Fluid- Fluid Interface Perspective -- Section 3 Interfaces and Nanocolloidal Dispersions -- Chapter 17 Human Serum Albumin Adsorption on Solid Substrates -- Chapter 18 Co- Adsorption of the Proteins B-Casein and BSA in Relation to the Stability of Thin Liquid Films and Foams -- Chapter 19 New Trends in Phospholipid Research. Chapter 20 Thermodynamics and Specific Ion Effects in Connection with Micellization of Ionic Surfactants -- Chapter 21 Stiff and Flexible Water- Poor Microemulsions -- Color Insert -- Back Cover. Colloid and interface science dealt with nanoscale objects for nearly a century before the term nanotechnology was coined. An interdisciplinary field, it bridges the macroscopic world and the small world of atoms and molecules. Colloid and Interface Chemistry for Nanotechnology is a collection of manuscripts reflecting the activities of research teams that have been involved in the networking project Colloid and Interface Chemistry for Nanotechnology (2006-2011), Action D43, the European Science Foundation. The project was a part of the intergovernmental framework for Cooperation in Science and Technology (COST), allowing the coordination of nationally funded research across Europe. With contributions by leading experts, this book covers a wide range of topics. Chapters are grouped into three sections: "Nanoparticle Synthesis and Characterization," "New Experimental Tools and Interpretation," and "Nanocolloidal Dispersions and Interfaces." The topics covered belong to six basic research areas: (1) The synthesis of nanostructured materials of well-defined size and function; (2) Analytical methods and tools for control and characterization of synthesized nanomaterials; (3) Self-assembly of nanomaterials, such as microemulsions and micelles, and their applications; (4) Bioinspired nanostructured materials-structure, properties, and applications; (5) Design of active, soft functional interfaces with unique properties for sensors, catalysts, and biomedical assays; and (6) Nanoscale elements in soft nanoscale devices for applications in analytical and biomedical sciences. This book describes highlights in nanotechnology based on state-of-the-art principles in colloid and interface science, demonstrating how great progress in the various branches of nanotechnology can be achieved. The application of these principles allows for the development of new experimental and theoretical tools. Miller, Reinhard Ravera, Francesca 9781466569058 print version oai:cds.cern.ch:2311809 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1316403 ebook ebook Progress in colloid and interface science 4 EBL Colloids EBL Nanoparticles EBL201804 Chemical Physics and Chemistry SzGeCERN BOOK n 201814 201804 21 PUBLIC BOOK DELETED 2311800 SzGeCERN 20180515232355.0 9781439838709 (electronic bk.) electronic version 9781439838693 electronic version EBL 1165865 eng R856 610.28 Xie, Yubing The nanobiotechnology handbook Baton Rouge, LA Chapman and Hall/CRC 2012 670 p Front Cover -- Contents -- Preface -- Acknowledgments -- Editor -- Contributors -- Part I: Biomimetic Nanotechnology -- 1. DNA Nanostructures -- 2. Aptamer-Functionalized Nanomaterials for Cell Recognition -- 3. Artificial Enzymes -- 4. Molecular Motors -- 5. From RNA Structures to RNA Nanomachines -- 6. DNA Damage Response Research, Inherent and Future Nano-Based Interfaces for Personalized Medicine -- 7. Virus-Based Nanobiotechnology -- 8. Biomimetic Nanotopography Strategies for Extracellular Matrix Construction -- 9. Butterfly Wing-Inspired Nanotechnology -- 10. Receptor-Based Biosensors: Focus on Olfactory Receptors and Cell-Free Sensors -- Part II: Nanobiofabrication -- 11. Microcontact Printing -- 12. Electron Beam Lithography for Biological Applications -- 13. Laser Direct-Write -- 14. Electrospinning of Nanofibers -- Part III: Nanobioprocessing -- 15. Applications of Nanotechnology to Bioprocessing -- Part IV: Biomolecular and Cellular Manipulation and Detection -- 16. Atomic Force Microscopy -- 17. Dielectrophoresis -- 18. Nanofluidics -- 19. Optical Tweezers -- 20. Cellular Response to Nanoscale Features -- 21. Micro- and Nanotechnologies in Integrative Biology -- Part V: Biomedical Nanotechnology -- 22. Micro- and Nanotechnology in Tissue Engineering -- 23. Nanotechnology in Drug Delivery. -- 24. Lipid-Based Nanoparticles for siRNA Delivery -- 25. Nanodiamonds for Bioimaging and Therapeutic Applications -- 26. Biomedical Micro-Probe for Super Resolved Image Extraction -- Part VI: Nanobiotechnology Impacts -- 27. Nanotoxicity -- 28. Responsible Nanotechnology: Controlling Exposure and Environmental Release via Rational Design -- 29. Educational and Workforce Development in Nanobiotechnology. A thorough overview of nanobiotechnology and its place in advances in applied science and engineering, The Nanobiotechnology Handbook combines contributions from physics, bioorganic and bioinorganic chemistry, molecular and cellular biology, materials science, and medicine as well as from mechanical, electrical, chemical, and biomedical engineering to address the full scope of current and future developments. World-class experts discuss the role of nanobiotechnology in bioanalysis, biomolecular and biomedical nanotechnology, biosensors, biocatalysis and biofuel, and education and workforce development. It includes a companion CD that contains all figures in the book. The book begins with discussions of biomimetic nanotechnology, including a comprehensive overview of DNA nanostructure and DNA-inspired nanotechnology, aptamer-functionalized nanomaterials as artificial antibodies, artificial enzymes, molecular motors, and RNA structures and RNA-inspired nanotechnology. It shows how nanotechnology can be inspired by nature as well as adverse biological events in diagnostic and therapeutic development. From there, the chapters cover major important and widely used nanofabrication techniques, applications of nanotechnology for bioprocessing followed by coverage of the applications of atomic force microscopy (AFM), optical tweezers and nanofluidics as well as other nanotechnology-enabled biomolecular and cellular manipulation and detection. Focusing on major research trends, the book highlights the importance of nanobiotechnology to a range of medical applications such as stem cell technology and tissue engineering, drug development and delivery, imaging, diagnostics, and therapeutics. And with coverage of topics such as nanotoxicity, responsible nanotechnology, and educational and workforce development, it provides a unique overview and perspective of nanobiotechnology impacts from a researcher's, entrepreneur's, economist's and educator's point of view. It provides a resource for current applications and future development of nanobiotechnology. 9781439838693 print version oai:cds.cern.ch:2311800 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1165865 ebook ebook EBL Biotechnology EBL Molecular biology EBL201804 Health Physics and Radiation Effects SzGeCERN BOOK n 201814 21 PUBLIC BOOK DELETED 2311799 SzGeCERN 20210421205150.0 9780203109243 electronic version electronic version 9780415621564 print version oai:cds.cern.ch:2311799 cerncds:BOOK EBL 1128520 eng QC809.F5 -- F587 2013eb 530.417 Gualtieri, Carlo Fluid mechanics of environmental interfaces 2nd ed. Baton Rouge, LA Chapman and Hall/CRC 2012 494 p ebook Front Cover -- Dedication -- Table of contents -- Preface -- Preface of the first edition -- Biographies of the authors -- Part one: Preliminaries -- Chapter One: Environmental Fluid Mechanics: Current issues and future outlook -- Part two: Processes at atmospheric interfaces -- Chapter Two: Point source atmospheric diffusion -- Chapter Three: Air- sea interaction -- Chapter Four Modelling of flux exchanges between heterogeneous surface and atmosphere -- Chapter Five: Desert dust uptake- transport and deposition mechanisms - impacts of dust on radiation, clouds and precipitation -- Part three: Processes at water interfaces -- Chapter Six: Gas- transfer at unsheared free- surfaces -- Chapter Seven: Advective diffusion of air bubbles in turbulent water flows -- Chapter Eight: Exchanges at the bed sediments- water column interface -- Chapter Nine: Surface water and streambed sediment interaction: The hyporheic exchange -- Chapter Ten: Environmental fluid dynamics of tidal bores: Theoretical considerations and field observations -- Part four: Processes at interfaces of biotic systems -- Chapter Eleven: Transport processes in the soil- vegetation- lower atmosphere system -- Chapter Twelve: Turbulence and wind above and within the forest canopy -- Chapter Thirteen: Flow and mass transport in vegetated surface waters -- Chapter Fourteen: Uniform flow and boundary layers over rigid vegetation -- Chapter Fifteen: Mass transport in aquatic environments -- Chapter Sexteen: Maps serving as the combined coupling between interacting environmental interfaces and their behavior in the presence of dynamical noise -- Back Cover. Preface Preface of the first editionBiographies of the authors Part one - Preliminaries1. Environmental fluid mechanics: Current issues and future outlook B. Cushman-Roisin, C. Gualtieri & D.T. MihailovicPart two - Processes at atmospheric interfaces2. Point source atmospheric diffusionB. Rajkovic, I. Arsenic & Z. Grsic3. Air-sea interaction V. Djurdjevic & B. Rajkovic4. Modelling of flux exchanges between heterogeneous surfaces and atmosphere D.T. Mihailovic & D. Kapor5. Desert dust uptake-transport and deposition mechanisms - impacts of dust on radiation, clouds and precipitation G. Kallos, P. Katsafados & C. SpyrouPart three - Processes at water interfaces6. Gas-transfer at unsheared free-surfaces C. Gualtieri & G. Pulci Doria7. Advective diffusion of air bubbles in turbulent water flows H. Chanson8. Exchanges at the bed sediments-water column interface F.A. Bombardelli & P.A. Moreno9. Surface water and streambed sediment interaction: The hyporheic exchange D. Tonina10. Environmental fluid dynamics of tidal bores: Theoretical considerations and field observations H. ChansonPart four - Processes at interfaces of biotic systems11. Transport processes in the soil-vegetation-lower atmosphere system D.T. Mihailovic12. Turbulence and wind above and within the forest canopy B. Lalic & D.T. Mihailovic13. Flow and mass transport in vegetated surface waters Y. Tanino14. Uniform flow and boundary layers over rigid vegetation P. Gualtieri & G. Pulci Doria15. Mass transport in aquatic environments G. Nishihara & J.D. Ackerman16. Maps serving as the combined coupling between interacting environmental interfaces and their behavior in the presence of dynamical noise D.T. Mihailovic & I. BalažAuthor index Subject index. EBL201804 SzGeCERN Other Fields of Physics EBL Atmospheric turbulence EBL Fluid mechanics EBL Geophysics -- Fluid models EBL Hydrology BOOK Mihailovic, Dragutin T https://cds.cern.ch/auth.py?r=EBLIB_P_1128520 ebook n 201814 21 PUBLIC https://catalogue.library.cern/legacy/2311799 BOOK MIGRATED 2311797 SzGeCERN 20181005224057.0 9780080914305 (electronic bk.) electronic version electronic version 9780080450162 9780080450162 print version oai:cds.cern.ch:2311797 cerncds:BOOK EBL 1044918 eng QH543.5 -- .T85 2012eb 539.7520913 Baxter, M Tropical radioecology Oxford Elsevier 2012 365 p Front Cover -- Tropical Radioecology -- Copyright -- Contents -- Foreword -- Contributors -- Chapter 1: The Scientific Basis -- 1.1. Introduction -- 1.2. Radioactivity -- 1.2.1. Introduction to Radioactivity -- 1.2.1.1. Isotopes -- 1.2.1.2. The Periodic Table -- 1.2.1.3. Radioactive Decay -- 1.2.1.4. Units of Energy -- 1.2.2. Radioactive Decay -- 1.2.2.1. Radioactive Decay Processes -- 1.2.2.1.1. Beta Particle Emission and Electron Capture -- 1.2.2.1.1.1. Beta Particle Emission -- 1.2.2.1.1.2. Positron Emission -- 1.2.2.2. Alpha Emission -- 1.2.2.3. Gamma Emission -- 1.2.2.3.1. Excited States -- 1.2.3. Rate of Radioactive Decay -- 1.2.3.1. Half-lives -- 1.2.3.1.1. Decay Rates -- 1.2.3.2. Decay Chains -- 1.2.3.2.1. Uranium and Thorium Series Decay -- 1.2.3.2.2. Secular Equilibrium -- 1.2.3.2.3. Uranium Series Disequilibria and their Applications -- 1.2.4. Detection and Measurement of Radioactivity -- 1.2.4.1. Introduction -- 1.2.4.2. Detection of Radioactivity -- 1.2.4.2.1. Gas Phase Detectors -- 1.2.4.2.2. Scintillation Detectors -- 1.2.4.2.3. Semiconductor Detectors -- 1.2.4.3. Measurement of the Specific Activity of an Environmental Sample -- 1.2.4.4 Precision of Radioactivity Measurements -- 1.2.4.5. Uncertainties in Estimating the Activity of Environmental Samples -- 1.2.4.5.1. Propagation of Errors Associated with Background Subtraction -- 1.2.4.5.2. Propagation of Random Errors Associated with the Multiplication and Division of Data -- 1.3. Radiation science -- 1.3.1. Interaction of Radiation with Matter -- 1.3.1.1. Alpha Particles and Protons -- 1.3.1.1.1. Alpha Particle Shielding -- 1.3.1.2. Beta Particles -- 1.3.1.2.1. Bremsstrahlung -- 1.3.1.2.2. Shielding -- 1.3.1.3. Gamma Rays and X-rays -- 1.3.1.3.1. Photoelectric Effect -- 1.3.1.3.2. Compton (Incoherent) Scattering -- 1.3.1.3.3. Pair Production -- 1.3.1.3.4. Gamma Shielding. 1.3.1.4. Neutrons -- 1.3.1.4.1. Elastic Scattering -- 1.3.1.4.2. Inelastic Scatter -- 1.3.1.4.3. Neutron Capture -- 1.3.2. Biological Effects of Radiation -- 1.3.2.1. Introduction -- 1.3.2.2. Biological Effects -- 1.3.2.2.1. The Sievert -- 1.3.2.2.2. Deterministic (Prompt) Effects -- 1.3.2.2.3. Stochastic (Delayed) Effects -- 1.3.2.3. Human Radiological Protection -- 1.3.2.3.1. External Gamma Sources -- 1.3.2.3.2. Ingested and Inhaled Radionuclides -- 1.3.2.3.3. Justification -- 1.3.2.3.4. Optimisation -- 1.3.2.3.5. Application of Dose Limits -- 1.3.2.4. Environmental Radiological Protection -- 1.4. Environmental radioactivity -- 1.4.1. Classes of Radioactivity -- 1.4.2. Naturally Occurring Radioactive Materials -- 1.4.2.1. Cosmogenic Radioactivity -- 1.4.2.2. Primordial Radioactivity -- 1.4.3. Anthropogenic Radionuclides -- 1.4.3.1. Atmospheric Nuclear Testing -- 1.4.3.2. Technologically Enhanced Radioactive Materials -- 1.4.4. Applications of Environmental Radionuclides -- 1.5. Concluding comments -- References -- Chapter 2: Radionuclide Behaviour and Transport in the Tropical Atmospheric Environment -- 2.1. Introduction -- 2.2. The large-scale structure and transport processes in the tropics -- 2.2.1. Long-term Mean, Zonally Averaged Structure -- 2.2.2. Deviations from the Zonally Averaged Structure: Monsoon, Gyres, El Niño Southern Oscillation -- 2.3. Cosmogenic and anthropogenic radionuclides -- 2.3.1. 7Be, 10Be, 137Cs, and 90Sr -- 2.3.2. 36Cl -- 2.4. Terrigenic radionuclides -- 2.4.1. Radon and Short-lived Radon Progeny -- 2.4.2. 210Pb-210Bi-210Po -- 2.4.3. Radionuclides on Resuspended Dust -- 2.5. Conclusions -- Acknowledgments -- References -- Chapter 3: Mobility of Radionuclides in Tropical Soils and Groundwater -- 3.1. Introduction and scope -- 3.2. General principles -- 3.2.1. Hydrology and Water Movement -- 3.2.2. Solute Transport. 3.2.3. Chemical Principles -- 3.2.4. Adsorption -- 3.2.5. Other Phenomena -- 3.2.6. Summary -- 3.3. Properties of tropical soils -- 3.4. Case studies of radionuclide mobility in tropical environments -- 3.4.1. Radionuclides Derived from Nuclear Weapons Testing -- 3.4.2. Radionuclides Released by Accidents -- 3.4.3. Migration Studies Involving Natural Radionuclides -- 3.4.4. Experimental Studies of Radionuclide Behaviour in Tropical Systems -- 3.5. Factors of significance in the migration of radionuclides in the tropical environment -- 3.5.1. Climate and Rainfall -- 3.5.2. Soil Mineralogy -- 3.5.3. Organic Matter -- 3.5.4. Nutrient Status -- 3.5.5. A Range of Unique Soil Types -- 3.5.6. Environmental Changes -- 3.5.7. Unique Combinations of Conditions -- 3.6. Overall conclusion -- References -- Chapter 4: Tropical Radiochemical Oceanography -- 4.1. Introduction -- 4.1.1. The Natural Incidence of Radioactivity -- 4.1.2. Radionuclides in Marine Systems -- 4.1.3. Special Features of Tropical Marine Systems -- 4.2. Biogeochemical behaviour of radionuclides in marine systems -- 4.2.1. Conservative Nuclides -- 4.2.2. Nutrient-Like Nuclides -- 4.2.3. Scavenged Nuclides -- 4.2.4. Redox Controlled Nuclides -- 4.3. Sources and sinks of radionuclides to the tropical oceans -- 4.3.1. Natural Primordial Radionuclides with Stable Siblings -- 4.3.2. Natural Primordial U and Th Parent Nuclides and Daughters -- 4.3.2.1. Uranium -- 4.3.2.2. Thorium -- 4.3.2.3. Radium -- 4.3.2.4. Lead -- 4.2.3.5. Polonium -- 4.3.3. Cosmogenic Radionuclides -- 4.3.4. Artificial Radionuclides -- 4.3.5. Technologically Enhanced Natural Occurring Radioactive Materials (TENORMs) -- 4.4. Radionuclides in tropical marine environments -- 4.4.1. Cesium and Plutonium in the Indo-Pacific Region -- 4.4.2. Uranium Series Isotopes in Tropical River-Ocean Systems. 4.4.3. 210Lead and 210Polonium in Tropical Oceanic Systems -- 4.5. Marine radioactivity databases -- 4.5.1. Marine Radioactivity Information System -- 4.5.2. Asia-Pacific Marine Radioactivity Database -- 4.6. Case studies -- 4.6.1. French Nuclear Testing at Mururoa and Fangataufa Atolls -- 4.6.2. The 2011 Fukushima Nuclear Power Plant Accident, Japan -- 4.6.3. 238U/234Th and Scavenging of Trace Elements by Marine Particles -- 4.7. Summary and conclusions -- References -- Chapter 5: Terrestrial Radioecology in Tropical Systems -- 5.1. Introduction -- 5.2. Tropical soil systems -- 5.2.1. Soil Formation -- 5.2.2. FAO Soil Types in Tropical and Subtropical Regions -- 5.2.3. Agricultural Problems of Tropical Soils -- 5.3. Agricultural systems -- 5.3.1. Classes of Crops -- 5.3.2. Regional Food Consumption -- 5.3.3. Farming Systems -- 5.4. Radioecological concepts and modelling -- 5.4.1. Transfer Factors -- 5.4.2. Bioavailability, Bioaccessibility, and Kds -- 5.4.3. Biokinetic Models -- 5.4.4. Dynamic and Mechanistic Models -- 5.4.5. Key Radionuclides -- 5.5. Compilation and evaluation of TFs for tropical and subtropical systems -- 5.5.1. Effects of Plant and Soil Type on Bioaccumulation -- 5.5.2. Effects of Soil Chemistry on Bioaccumulation -- 5.5.3. Low-activity Clays and Cationic Exchange -- 5.5.4. pH Effects -- 5.5.5. Ageing Effects -- 5.5.6. Eh Effects -- 5.5.7. Effects of Soil Microbiology on Bioaccumulation -- 5.5.8. Effects of SOM on Bioaccumulation -- 5.6. Tropical crops -- 5.6.1. Rice -- 5.6.2. Tropical Fruit -- 5.7. Tropical animals -- 5.8. Summary and conclusions -- Acknowledgments -- References -- Chapter 6: Radioecology of Tropical Freshwater Ecosystems: Mechanisms and Kinetics of Bioaccumulation and the Importance ... -- 6.1. Introduction -- 6.2. Organism effects at an ecosystem scale -- 6.3. Uptake of radionuclides at the cell surface. 6.4. Influence of water chemistry on radionuclide bioavailability -- 6.4.1. Introduction -- 6.4.2. pH -- 6.4.2.1. General -- 6.4.2.2. Biological Response Driven by Chemical Speciation -- 6.4.2.3. Biological Response Driven by Proton Competition -- 6.4.2.4. Biological Response Driven by both Chemical Speciation and Proton Competition -- 6.4.3. DOC -- 6.4.4. Hardness and Alkalinity -- 6.4.4.1. General -- 6.4.4.2. Hardness -- 6.4.4.3. Alkalinity -- 6.4.5. The BLM and Use in National Guidelines for Protecting Freshwater Ecosystems -- 6.4.6. Integrating the BLM with Bioaccumulation Kinetics -- 6.4.7. Comparisons of Tropical and Temperate Freshwater Ecosystems -- 6.5. Modelling, kinetics, and mechanisms of radionuclide bioaccumulation -- 6.5.1. Background -- 6.5.2. Basic Modelling -- 6.5.3. Databases and Their Underlying Assumptions -- 6.5.4. Biological Factors Influencing Bioaccumulation -- 6.5.4.1. Within Species Variability -- 6.5.4.2. Between Species Variability -- 6.5.5. Climatic Zone Differences -- 6.5.6. Ingestion, Egestion, and Biomagnification -- 6.5.7. Biphasic Uptake of Cs and Ra in Macrophytes -- 6.5.8. Detoxification, Sequestration, and Biodistribution -- 6.5.9. Application of Bioaccumulation to Environmental Monitoring and Management -- 6.5.10. Physiological/Genetic Tolerance -- 6.6. Conclusions -- Acknowledgments -- References -- Chapter 7. Radiological Consequences Modelling -- 7.1. Introduction -- 7.2. Radionuclide transfer following atmospheric dispersion -- 7.2.1. Regional Differences in Site-Specific Parameters -- 7.2.1.1. Characteristics of Tropical Areas -- 7.2.1.2. Seasonality -- 7.2.1.3. Crops -- 7.2.1.4. Feeding Regimes -- 7.2.2. Transfer Processes -- 7.2.2.1. Deposition and Interception -- 7.2.2.2. Weathering and Dilution -- 7.2.2.3. Translocation -- 7.2.2.4. Uptake of Radionuclides from Soil -- 7.2.2.5. Migration in Soil. 7.2.2.6. Resuspension. Tropical Radioecology is a guide to the wide range of scientific practices and principles of this multidisciplinary field. It brings together past and present studies in the tropical and sub-tropical areas of the planet, highlighting the unique aspects of tropical systems. Until recently, radioecological models for tropical environments have depended upon data derived from temperate environments, despite the differences of these regions in terms of biota and abiotic conditions. Since radioactivity can be used to trace environmental processes in humans and other biota, this book offers examples of studies in which radiotracers have been used to assess biokinetics in tropical biota. Features chapters, co-authored by world experts, that explain the origins, inputs, distribution, behaviour, and consequences of radioactivity in tropical and subtropical systems. Provides comprehensive lists of relevant data and identifies current knowledge gaps to allow for targeted radioecological research in the future. Integrates radioecological information into the most recent radiological consequences modelling and best-practice probabilistic ecological risk analysis methodology, given the need to understand the implications of enhanced socio-economic development in the world's tropical regions. Twining, J R https://cds.cern.ch/auth.py?r=EBLIB_P_1044918 ebook ebook Radioactivity in the environment 18 EBL201804 SzGeCERN Particle Physics - Theory BOOK n 201814 21 PUBLIC BOOK DELETED 2311796 SzGeCERN 20210421205151.0 9789400748873 electronic version electronic version 9789400793507 print version oai:cds.cern.ch:2311796 cerncds:BOOK EBL 1030765 eng QD450-882QD71-142GE1 538/.364 Lund, Anders EPR of free radicals in solids II trends in methods and applications 2nd ed. Dordrecht Springer 2012 399 p ebook Progress in theoretical chemistry and physics 25 EPR of Free Radicals in Solids II -- PTCP Aim and Scope -- Preface -- Contents -- Contributors -- Chapter 1: EPR Studies of Atomic Impurities in Rare Gas Matrices -- 1.1 Introduction -- 1.2 Experimental Techniques -- 1.3 Atomic Impurities in Rare Gas Matrices -- 1.3.1 2S State Atoms -- 1.3.2 High Spin S State Atoms -- 1.3.3 Superhyperfine Interaction -- 1.3.4 2P State Atoms -- 1.4 Theoretical Treatment of Atomic Impurities -- 1.4.1 Calculation of Isotropic Hyperfine Coupling Constants -- 1.4.2 Calculation of g Shift and Anisotropy -- 1.4.3 Molecular Dynamics Simulations -- 1.4.4 Simulation of EPR Spectra -- References -- Chapter 2:Organic Radical Cations and Neutral Radicals Produced by Radiation in Low-Temperature Matrices -- 2.1 Introduction -- 2.2 Experimental Approaches and Overview of Results -- 2.2.1 Low-Temperature Radiation-Chemical Techniques for EPR Studies -- 2.2.2 Matrix Isolation for Radiation Chemistry -- 2.2.2.1 Low-Temperature Organic Glasses -- 2.2.2.2 Freon Matrices -- 2.2.2.3 Zeolites and Other Porous Media -- 2.2.2.4 Solid Noble Gas Matrices -- 2.2.3 Combination with Other Spectroscopic Methods -- 2.3 Positive Hole Migration and Localization -- 2.3.1 Trap-to-Trap Positive Hole Transfer in Solid Matrices -- 2.3.1.1 Two-Trap Model -- 2.3.1.2 Fine Tuning Effects in Positive Hole Transfer -- 2.3.2 "Bridged" Bifunctional Radical Cations -- 2.4 Matrix Effects on Trapping and Reactions of Radical Cations -- 2.4.1 Spectroscopic Effects: Noble Gas Matrices vs. Freons -- 2.4.2 Matrix-Assisted Deprotonation of Primary Radical Cations in Xenon -- 2.4.3 "Hot" Fragmentation and Rearrangements: Effect of Excess Energy -- 2.4.4 "Matrix Switching" Between Reaction Channels -- 2.5 Selectivity of the Primary Radiation-Induced Chemical Events -- 2.5.1 Site-Selective Reactivity of Organic Radical Cations. 2.5.2 Selectivity of Other Primary Processes -- 2.5.3 Application to Macromolecules -- 2.6 Conclusions and Outlook -- References -- Chapter 3: Molecule-Based Exchange-Coupled High-Spin Clusters: Conventional, High-Field/High-Frequency and Pulse-Based Electron Spin Resonance of Molecule-Based Magnetically Coupled Systems -- 3.1 Introduction -- 3.2 Theoretical Background -- 3.2.1 Effective Spin Hamiltonian Approach to Exchange-Coupled Systems: Tensor Analyses Underlying Theoretical Spectral Simulations -- 3.2.2 Appearance of Off-Principal-Axis Lines in Fine-Structure Spectra in Molecular High Spin Systems -- 3.2.3 Theoretical Spectral Simulation of Molecular High-Spin Clusters: Direct Comparison Between Theoretical Simulations and Observed Spectra of a Triplet-State Cluster -- 3.2.4 Microscopic Spin Dynamics Underlying Magnetization Dynamics in Infinite Systems of Exchanged Couplings -- 3.3 Spectral Simulation Based on a Hybrid Eigenfield Method and Perturbation Treatments -- 3.3.1 Fine-Structure ESR Spectroscopy from Random Orientations in Non-oriented Media -- 3.3.2 Eigenfield Method and Hybrid Eigenfield Approach as an Improved Accessible Method -- 3.3.3 Exact Analytical Treatment of the Spin Hamiltonian: Exact Analytical Solutions for Fine-Structure Resonance Fields and Transition Probabilities -- 3.3.3.1 General Arguments -- 3.3.3.2 Exact Analytical Formulae for Resonance Fields by the Eigenfield Method -- 3.3.3.3 Parallel Microwave Polarization Excitation Spectroscopy Combined with the Hybrid Eigenfield Method -- 3.4 Solution ESR Spectroscopy for Molecular High-Spin Systems with Exchange Interaction Comparable to Hyperfine Interactions -- 3.4.1 Introductory Remarks -- 3.4.2 The Heisenberg Exchange Coupling -- 3.4.3 Biradicals Composed of Two Radical Fragments with a Time-Independent Exchange Coupling. 3.4.4 Effects of Time-Dependent Interactions -- 3.4.5 An Application to Models for Organic Molecule Based Magnets -- 3.5 High Spin Chemistry of Various Molecular Clusters: Utilization of High-Field/High-Frequency ESR and Pulsed ESR Spectroscopy -- 3.5.1 Inorganic Molecule-Based Metal High-Spin Clusters Including Dinuclear Triplet-State Clusters -- 3.5.1.1 Exchange-Coupled Dinuclear Clusters -- 3.5.1.2 Exchange-Coupled Trinuclear Clusters: Spin Frustration and Mixed Valence States -- 3.5.2 Inorganic Molecule-Based High-Spin Large Clusters Revealing Quantum Spin Tunneling: Single-Molecule Magnets -- 3.5.2.1 Single-Molecule Magnets -- 3.5.2.2 Mn-Based Clusters -- 3.5.2.3 Quantum Coherence in SMMs -- 3.5.2.4 Frequency Domain ESR -- 3.5.2.5 Fe Clusters -- 3.5.2.6 Representative Examples of Other SMMs Documented So Far and Their Important Magnetic Parameters -- 3.5.3 Hydrogen-Bonded Molecule-Based High-Spin Clusters -- 3.5.4 Genuinely Organic Molecule-Based High-Spin Clusters: Spin Identification by Pulse-ESR-Based Electron Spin Transient Nutation Spectroscopy -- 3.5.5 Low-Dimensional Molecule-Based Exchange-Coupled Assemblages -- 3.6 Metal High-Spin Clusters of Biological Importance: Manganese Clusters in Photosystem II -- 3.6.1 Oxygen-Evolving High-Spin Complexes -- 3.6.2 The S2-State of OEC in Photosystem II -- 3.6.3 The S0-State of OEC in Photosystem II -- 3.6.4 The S1-State of OEC in Photosystem II -- 3.6.5 The S3-State of OEC in Photosystem II -- 3.7 Conclusions -- References -- Chapter 4: Novel Applications of ESR/EPR: Quantum Computing/Quantum Information Processing -- 4.1 Introduction -- 4.1.1 General Introduction -- 4.1.2 What Is Entanglement? -- 4.1.3 An Electron Spin as an Inherent Matter Spin-Qubit -- 4.2 A Basis of Spin Manipulation Technology for QC/QIP. 4.2.1 Fourier-Transform ESR/ENDOR Spectroscopy: Pulse-Based ESR/ENDOR as Enabling Spin Technology -- 4.2.2 A Basis of Spin Manipulation Technology for QC/QIP in Pulsed Electron Magnetic Resonance -- 4.2.3 A Basis for Pulse-Based ENDOR Spin Technology: Two Types of Electron-Spin-Echo Detected ENDOR Spectroscopy -- 4.3 Pulse ENDOR Based Spin Technology for QC/QIP -- 4.3.1 Generation of A Pseudo Pure State for Electron-Nuclear Spin-Qubit Systems by Pulse-Based ENDOR Spin Technology -- 4.3.2 Generation and Identification of Quantum Entanglement between An Electron and One Nuclear Spin Qubit by Pulse-Based ENDOR Spin Technology -- 4.3.3 Inter-Conversion of Entangled States by Pulse ENDOR Technique -- 4.3.4 TPPI Detection of the Entanglement Between Electron-Nuclear Hybrid Spin-Qubits by Pulse ENDOR Technique -- 4.4 Implementation of Molecular-Spin Based QC/QIP by the Use of Pulse ENDOR Spin Technology -- 4.4.1 Why Molecular Electron Spin-Qubit Based QC/QIP by Using Pulse ENDOR Spin Technology? -- 4.4.2 Pseudo-Pure States and Quantum Entanglement -- 4.5 Molecular Spin-Qubit ENDOR Based Quantum Computers -- 4.6 Preparation of a Molecular Entity for QC-ENDOR: The Simplest Case -- 4.6.1 Implementation of Super Dense Coding (SDC) by Pulse QC-ENDOR and Direct Detection of the Spinor of a Spin-1/2 Proton and Electron -- 4.6.2 Direct Detection of the Spinor for an Electron Spin by the Use of QC/QIP Technology -- 4.6.3 TPPI Detection and Inter-Conversion of the Bell States by Pulse ENDOR -- 4.6.4 The First Direct Detection of Spinor of an Electron Spin-Qubit by Quantum Phase Manipulation -- 4.7 Tripartite Electron-Spin Nuclear-Qubits Experiments -- Identification of Separable States Decomposed into Bipartite Entanglement -- 4.8 Conclusions and Outlook -- References -- Chapter 5:High Spin Molecules Directed Towards Molecular Magnets -- 5.1 Introduction. 5.2 Determination of the Spin States and Ground State Multiplicities of High Spin Molecules -- 5.3 Biradicals - The Triplet State -- 5.4 Triradicals - The Quartet State -- 5.5 Tetraradicals - The Quintet State -- 5.6 Higher Spin States, S = 5/2 -- 5.7 Conclusion and Outlook -- References -- Chapter 6: Electron Transfer and Structure of Plant Photosystem II -- 6.1 Introduction -- 6.1.1 Primary Photochemistry in Photosynthesis -- 6.1.2 Charge Separation and Electron Transfer in Plant Photosystem -- 6.1.3 Electron Transfer Components in Photosystem II -- 6.1.3.1 Chlorophylls -- 6.1.3.2 Tyrosines YD and YZ -- 6.1.3.3 Plastoquinone QA -- 6.1.3.4 Cytochrome b559 (Cyt b559) -- 6.1.3.5 Mn-Cluster in Water Oxidizing Complex -- 6.2 Methods Applied to Photosynthesis -- 6.2.1 Distance Determination -- 6.2.1.1 Spin Lattice Relaxation Measurement -- 6.2.1.2 Selective Hole Burning -- 6.2.1.3 Pulsed Electron-Electron Double Resonance (PELDOR) -- 6.2.1.4 ESEEM of Spin Polarized Radical Pairs -- 6.2.2 Other Methods -- 6.2.2.1 Dual Mode EPR -- 6.2.2.2 Time Resolved EPR -- 6.2.2.3 High Frequency EPR -- 6.2.2.4 ENDOR -- 6.2.2.5 Optically Detected Magnetic Resonance (ODMR) -- 6.2.2.6 ESEEM Applied to Study the Molecular Structure of Radicals -- 6.3 Sample Preparations -- 6.3.1 Oxygen Evolving PS II Membranes -- 6.3.2 Oriented Membranes -- 6.3.3 Single Crystals -- 6.3.4 Biochemical Treatment -- 6.3.4.1 Tris-Treatment -- 6.3.4.2 Ca2=+-Depletion -- 6.3.5 Site-Directed Isotope Labeling and Mutagenesis -- 6.3.6 Physical Treatment -- 6.3.6.1 Illumination -- 6.3.6.2 Trapping -- 6.3.6.3 Cryoprotectant -- 6.4 Studied Components -- 6.4.1 Tyrosines YD and YZ -- 6.4.1.1 The Distance Between YD and YZ Studied by `2 =+ 1' Pulse Method -- 6.4.1.2 Molecular Environments of YD and YZ Studied by cw and Pulsed ENDOR -- 6.4.1.3 High Frequency EPR Applied to Determine Molecular Orientation. 6.4.1.4 Distance of YD and P680 from the Non-heme Iron. EPR of Free Radicals in Solids: Trends in Methods and Applications, 2nd ed. presents a critical two volume review of the methods and applications of EPR (ESR) for the study of free radical processes in solids. Emphasis is on the progress made in the developments in EPR technology, in the application of sophisticated matrix isolation techniques and in the advancement in quantitative EPR that have occurred since the 1st edition was published. Improvements have been made also at theoretical level, with the development of methods based on first principles and their application to the calculation of magnetic properties as well as in spectral simulations. EPR of Free Radicals in Solids II focuses on the trends in applications of experimental and theoretical methods to extract structural and dynamical properties of radicals and spin probes in solid matrices by continuous wave (CW) and pulsed techniques in nine chapters written by experts in the field. It examines the studies involving radiation- and photo-induced inorganic and organic radicals in inert matrices, the high-spin molecules and metal-based molecular clusters as well as the radical pro-cesses in photosynthesis.Recent advancements in environmental applications in-cluding measurements by myon resonance of radicals on surfaces and by quantitative EPR in dosimetry are outlined and the applications of optical detection in material research with much increased sensitivity reviewed. The potential use of EPR in quantum computing is considered in a newly written chapter. This new edition is aimed to experimentalists and theoreticians in research involving free radicals, as well as for students of advanced courses in physical chemis-try, chemical physics, materials science, biophysics, biochemistry and related fields. EBL201804 SzGeCERN Other Fields of Physics EBL Electron paramagnetic resonance EBL Free radicals (Chemistry) BOOK Shiotani, Masaru Lund, Anders https://cds.cern.ch/auth.py?r=EBLIB_P_1030765 ebook n 201814 21 PUBLIC https://catalogue.library.cern/legacy/2311796 BOOK MIGRATED 2311795 SzGeCERN 20210421205151.0 9789400748934 electronic version electronic version 9789401785273 print version oai:cds.cern.ch:2311795 cerncds:BOOK EBL 1030759 eng QD450-882QC170-197QC 538/.364 Lund, Anders EPR of free radicals in solids I trends in methods and applications 2nd ed. Dordrecht Springer 2012 423 p ebook Progress in theoretical chemistry and physics 24 EPR of Free Radicals in Solids I -- PTCP Aim and Scope -- Progress in Theoretical Chemistry and Physics -- Aim and Scope -- Preface -- Contents -- Contributors -- Chapter 1: Continuous Wave EPR of Radicals in Solids -- 1.1 Introduction -- 1.2 Radical Structure -- 1.2.1 Analysis of Single Crystal Spectra -- 1.2.2 The Schonland Method -- 1.2.2.1 The Schonland Ambiguity -- 1.2.2.2 The Schonland Ambiguity in ENDOR -- 1.2.3 Non-linear Least Squares Methods -- 1.2.4 Software for Single Crystal Analysis -- 1.3 Analysis of Powder Spectra -- 1.3.1 EPR Powder Spectra -- 1.3.1.1 EPR Intensity in Disordered Systems -- 1.3.2 Powder ENDOR Spectra -- 1.3.3 Simulation of ENDOR Spectra -- 1.3.4 EPR and ENDOR Simulation Software -- 1.4 Saturation Properties of Radicals -- 1.4.1 Relaxation Times -- 1.4.1.1 Fitting to Microwave Saturation Curves -- 1.4.2 Microwave Power Effects on EPR Spectral Shape -- 1.4.3 Software for Microwave Saturation Analysis -- 1.5 Motional Effects -- 1.5.1 Internal Motion -- 1.5.2 Diffusion of Radicals -- 1.5.3 Free Radical Kinetics in Solids -- 1.5.4 Software for the EPR Analysis of Motional Effects -- A.1 Appendix -- A.1.1 Single Crystal Analysis by the Original Schonland Method -- A.1.1.1 Axial Symmetry -- A.1.1.2 Propagation of Errors -- References -- Chapter 2: Pulse EPR of Paramagnetic Centers in Solid Phases -- 2.1 Introduction -- 2.2 Elements of Theory -- 2.2.1 Classical Treatment of Free Induction Decay and Electron Spin Echo -- 2.2.2 Quantum Mechanical Treatment of Pulse Experiments -- 2.2.3 2p- and 3p-ESE Experiments -- 2.2.4 Spin Relaxation and Echo Decay -- 2.2.5 Product Operator Method -- 2.3 Methods Oriented to Get Information on the Dynamics of the System: Determination of T1, T2 and TM -- Electron Spin Echo Detected EPR (ED-EPR) -- 2.3.1 Spin-Lattice Relaxation -- 2.3.1.1 Spin-Lattice Relaxation Processes. 2.3.1.2 Methods for Measuring T1 -- 2.3.1.3 Applications and Examples -- 2.3.2 Transverse Relaxation -- 2.3.2.1 Processes of Spin Dephasing -- 2.3.2.2 Methods -- 2.3.2.3 Applications -- 2.4 Methods Oriented to Get Information on the Spatial Distribution of Paramagnetic Probes -- 2.4.1 Instantaneous Diffusion and Spin Concentration -- 2.4.2 Determination of Distance Between Spin Probes -- 2.4.2.1 Methods: PELDOR (DEER) -- 2.4.2.2 Some Applications of PELDOR -- 2.5 Methods Oriented to Get Information on the Local Environment of Paramagnetic Centers via the Interaction with Nuclear Spins -- 2.5.1 The Determination of Hyperfine Interactions -- 2.5.1.1 Methods: ESEEM Spectroscopy -- 2.5.1.2 Methods: Pulse ENDOR Spectroscopy -- 2.5.1.3 Applications -- Appendix -- References -- Chapter 3: Dynamical Effects in CW and Pulsed EPR -- 3.1 Introduction -- 3.2 Types of Dynamical Processes Accessible by EPR -- 3.3 Conformational Reorganization and Libration -- 3.3.1 Saturated Rings and Cyclic Nitroxides -- 3.3.2 Hyperfine Interaction of Beta Protons -- 3.4 Fundamental Dynamical Parameters -- 3.4.1 More Accurate Models of Methyl Fragment Rotation -- 3.4.2 Forms and Phases of Solids Subjected to Dynamics Studied by EPR -- 3.4.3 Estimation of the Amplitude of Libration in Nitroxides -- 3.4.3.1 Relation to the Order Parameter -- 3.5 Chemical Exchange -- 3.5.1 The Exchange Lineshape of Anisotropic Systems -- 3.6 Magnetic Relaxation -- 3.6.1 Spin-Lattice Relaxation in Very Cold Solids -- 3.6.2 The Redfield Relaxation Limit -- 3.6.3 Broadening -- 3.6.4 Electron-Spin Dynamics Through Nuclear Relaxation -- 3.7 Inertial Effects -- 3.7.1 Quantum-Rotation of Small Radicals in Inert Matrices -- 3.7.2 Hindered Rotation of "Light" Molecular Fragments -- 3.7.3 Methyl Radical as a Probe of Quantum Properties in Matrix Dynamics -- 3.7.3.1 In the Bulk of Single Crystals. 3.7.3.2 On a Solid Surface and in Voids of Single Crystals -- 3.7.3.3 In Powders and Glasses -- 3.7.3.4 Deuterium Isotopomers -- 3.8 Dynamics by ENDOR Spectroscopy -- 3.9 Pulsed-EPR Techniques -- 3.9.1 ESEEM and Tunnelling Frequency -- 3.9.2 Two-Dimensional Experiments -- 3.9.3 Spectral Diffusion -- 3.9.4 Instantaneous Diffusion -- 3.10 Librational Motion Studied by ED-EPR -- 3.10.1 Glasses and Polycrystallites -- 3.10.2 Multilayer Aggregates -- 3.10.3 Peptide Chain Mobility -- 3.10.4 Protein Mobility Studies -- References -- Chapter 4: Deuterium Labeling Studies and Quantum Effects of Radicals in Solids -- 4.1 Introduction -- 4.2 High-Resolution EPR and Nuclear Spin-Rotation Coupling of Methyl Radicals -- 4.2.1 EPR Spectra of Methyl Radicals in Solid Argon: CH3, CH2D, CHD2 and CD3 -- 4.2.1.1 CH3 Radical -- 4.2.1.2 CD3 Radical -- 4.2.1.3 CH2D and CHD2 -- 4.2.2 Nuclear Spin-Rotation Couplings -- 4.2.3 Radical Pair of H…CH3 in Solid Argon -- 4.3 Hydrogen Atom Hydrogen Molecule Complex Formation in Solid Argon -- 4.3.1 Hyperfine Splittings and Locations of H-Atoms -- 4.3.2 H…H2 Complex Formation via Tunneling Reaction -- 4.4 Para-H2 Matrix and High-Resolution EPR Spectra -- 4.4.1 High-Resolution EPR Spectra of Small Organic Radicals in Solid p-H2 -- 4.4.2 H6 + Cation Formation in Irradiated Solid p-H2 -- 4.4.3 Partial Orientation and Dynamics of NO2 in Solid H2 -- 4.5 Jahn-Teller Distortion of Td and D3h Molecules and D-Isotope Effects -- 4.5.1 Methane Radical Cations: C H4+, CDH3+, CD2H2+, CD3H+ and CD4+ -- 4.5.2 Tetramethylsilane Radical Cations: Si(CH3)4+, Si(CH3)3(CD3)+ and Si(CH3)2(CD3)2 + -- 4.5.3 Trimethylenemethane Radical Cation (TMM +) -- 4.6 D-Isotope Effects on Methyl Hydrogen Conformation -- 4.6.1 Dimethylether Radical Cations: CH3OCH3+, CH3OCH2D+ CD3OCH3+, CD3OCH2D+, CD3OCHD2+ and CD3OCD3+ -- 4.6.1.1 EPR Results. 4.6.1.2 D-Isotope Effects on Methyl Hydrogens Conformation -- 4.6.1.3 Temperature-Dependent 1H hf Splittings -- 4.6.2 Methylfluoride Cations: CH3F + vs. CH2DF+ -- 4.7 Static and Dynamic Structures of Radical Cations of Cyclohexane and Related Molecules -- 4.7.1 Jahn-Teller Distorted Structures of Cyclohexane Cation -- 4.7.2 D-Isotope Effects on the Structure of Cyclohexane Cation -- 4.7.2.1 EPR Spectrum and C2h Distorted Structure -- 4.7.2.2 Zero-Point Vibrational Energy (ZPVE) -- 4.7.2.3 Temperature-Dependent EPR Spectra and Total 1H hf Splittings -- 4.7.3 Asymmetrically Distorted Structure and Dynamics of Silacyclohexane Cation -- 4.7.3.1 EPR Results -- 4.7.3.2 Origin of the Structural Distortion -- 4.7.3.3 Temperature-Dependent EPR Spectra -- 4.8 D-Labeling Study on SH2 Reactions of Methyl Radicals in Solid Methylsilane -- 4.8.1 Direct EPR Evidence for SH2 Reaction of CH3 Radical with CH3SiH3 -- 4.8.2 Enormously Large D-Isotope Effects on H-Atom Abstraction by CH3 Radicals in Solid CH3SiH3 -- References -- Chapter 5: XSophe - Sophe - XeprView and Molecular Sophe: Computer Simulation Software Suites for the Analysis of Continuous Wave and Pulsed EPR and ENDOR Spectra -- 5.1 Introduction -- 5.2 XSophe-Sophe-Xeprview Computer Simulation Software Suite -- 5.2.1 The XSophe X-windows Graphical User Interface -- 5.2.2 Sophe -- 5.3 Molecular Sophe Computer Simulation Software Suite -- 5.4 Theory for the Computer Simulation of Randomly Orientated CW EPR Spectra -- 5.4.1 Field Versus Frequency Swept CW EPR -- 5.4.2 Numerical Integration - Choice of Angular Grid -- 5.4.3 Calculation of Resonant Field Positions -- 5.4.3.1 Brute Force - Matrix Diagonalization and Field Segmentation Algorithms -- 5.4.3.2 SOPHE Interpolation Method -- 5.4.3.3 Mosaic Misorientation [30]. 5.4.3.4 A Comparison of Brute Force Matrix Diagonalization, SOPHE Interpolation and Mosaic Misorientation -- 5.4.4 Homotopy Segmentation Algorithm -- 5.4.4.1 Locating the Resonant Field Positions at a Single Orientation -- 5.4.4.2 Comparing Adjacent Orientations -- 5.4.5 Linewidth Models -- 5.4.6 Parallelization -- 5.4.7 Optimization Algorithms -- 5.4.7.1 Hooke and Jeeves Method -- 5.4.7.2 Quadratic Variation of the Hooke and Jeeves Method -- 5.4.7.3 Simplex Method -- 5.4.7.4 Simulated Annealing -- 5.4.7.5 Parameter and Spectral Scaling -- 5.4.7.6 Spectral Comparison -- 5.4.7.7 Molecular Sophe -- 5.5 Computer Simulation of Pulsed EPR Spectra -- 5.6 Visual Aids for Analysing Complex CW EPR Spectra -- 5.6.1 Energy Level Diagrams -- 5.6.2 Transition Roadmaps -- 5.6.3 Transition Surfaces -- 5.7 Molecular Sophe Calculator -- 5.8 Role of Frequency (and Temperature) in Extracting Spin Hamiltonian Parameters -- 5.8.1 Electron Zeeman and Hyperfine Interactions -- 5.8.2 The Fine Structure Interaction -- 5.8.3 Isotropic and Anisotropic Exchange Interactions -- 5.8.4 State Mixing and the Existence of Energy Level Crossings, Anticrossings and Looping Transitions -- 5.8.5 Distributions of Parameters -- 5.9 Pulsed EPR Simulations -- 5.10 Conclusions -- References -- Chapter 6: The Calculation of the Hyperfine Coupling Tensors of Biological Radicals -- 6.1 Introduction -- 6.2 Theoretical Background -- 6.2.1 Theoretical Description of Hyperfine Coupling Tensors -- 6.2.2 A Survey of Available Theoretical Methods -- 6.2.3 An Overview of the Relative Performance of Various Theoretical Methods for HFCC Calculations -- 6.2.4 Methodologies for Incorporating Environmental Effects -- 6.2.5 A Practical Computational Scheme for the HFCCs in Biological Radicals -- 6.3 Theoretical Studies of Amino Acid Radicals -- 6.3.1 Calculations on Isolated Amino Acid Radicals. 6.3.2 Calculations on the Zwitterionic Form of Isolated Amino Acid Radicals. In its updated 2nd edition, this book surveys methods and applications of EPR in the study of free radical processes in solids. The focus is on trends in methods for extracting structural and dynamical properties of radicals and spin probes in solid matrices. EBL201804 SzGeCERN Other Fields of Physics EBL Electron paramagnetic resonance EBL Free radicals (Chemistry) BOOK Shiotani, Masaru Lund, Anders https://cds.cern.ch/auth.py?r=EBLIB_P_1030759 ebook n 201814 21 PUBLIC https://catalogue.library.cern/legacy/2311795 BOOK MIGRATED 2311782 SzGeCERN 20210421205153.0 9789048138357 print version 9789048138364 electronic version electronic version oai:cds.cern.ch:2311782 cerncds:BOOK EBL 885900 eng QD450-801QD901-999TA 539.72112 Gatti, Carlo Modern charge-density analysis Dordrecht Springer 2012 799 p ebook Modern Charge-Density Analysis -- Preface -- Contents -- Contributors -- Abbreviations -- Chapter 1: A Guided Tour Through Modern Charge Density Analysis -- 1.1 Introduction -- 1.2 From Electron and Charge Density to Physical Properties and Chemical Bond -- 1.2.1 Charge, Electron and Electron Spin Densities -- 1.2.2 Electron Density and Charge Density from X-Ray Diffraction -- 1.2.2.1 Modeling and Refining the Charge Density -- 1.2.2.2 Maximum Entropy Method -- 1.2.2.3 Improving the Thermal Motion Description -- 1.2.3 Electron Density and Beyond from ab-initio Calculations -- 1.2.3.1 From the Wavefunction to the Electron Density -- 1.2.3.2 Density Matrices and One- and Two-Electron Properties -- 1.2.3.3 The Pair Function and Bond Descriptors Derived Thereof -- 1.2.3.4 Electron Density, Density Matrices and Bonding Descriptors at Different Electron Correlation Levels -- 1.2.4 Obtaining and Comparing Physical Properties from Experiment and Theory -- 1.2.4.1 Properties from Theory as Expectation Values of Operators or as Responses to a Perturbation -- 1.2.4.2 Properties from Bragg Data or Multipole-Model Pseudoatom Expansions -- 1.2.4.3 Making Use of and Comparing Experimental and Theoretical Properties -- 1.2.4.4 Interaction Densities -- 1.2.4.5 Dynamical Properties -- 1.2.5 Chemical Bonding -- 1.2.5.1 Deformation Densities -- 1.2.5.2 Total Densities and (Quantum) Topological Approaches -- 1.3 Technological and Methodological Developments -- 1.3.1 Detecting the Diffracted Intensities -- 1.3.2 X-Ray Sources -- 1.3.3 Low Temperature -- 1.3.4 Modelling Electron Density from Experiments with Multipolar Expansion -- 1.3.5 Recent Progresses in Quantum Modeling for Charge and Electron Density Studies in Positionand Momentum Space -- 1.3.6 Recent Progresses in the Analysis and Interpretation of the Electron Density and Chemical Bonding. 1.3.7 Intermolecular Interactions -- 1.4 About the Structure of This Book -- 1.5 Applications -- 1.5.1 Materials Science -- 1.5.2 Biomolecules -- 1.5.3 Electron Density in Compounds Under Perturbation -- 1.5.4 Crystal Engineering -- 1.5.5 Stereochemistry -- 1.5.6 Chemical Reactions -- 1.6 Conclusions and Outlook -- References -- Chapter 2: Electron Densities and Related Properties from the ab-initio Simulation of Crystalline Solids -- 2.1 Introduction -- 2.2 The Theoretical Frame -- 2.2.1 Definition and Properties of Exact DM and DFs -- 2.2.1.1 Electron Density -- 2.2.1.2 Momentum Density -- 2.2.2 HF and KS Schemes, and Related DM and DFs -- 2.2.2.1 HF and KS Solutions: Bloch Functions, Insulators, Metals -- 2.2.2.2 Crystalline DM and DFs from Single-Determinant Wave-Functions -- 2.2.2.3 The Problem of Core Electrons -- 2.3 The Solution of the HF and KS Periodic Problem -- 2.3.1 General Solution Schemes -- 2.3.2 The Exchange-Correlation Potential in KS Schemes -- 2.3.3 The Quantum ESPRESSO Distribution -- 2.3.3.1 The Treatment of Core Electrons in PW Codes -- 2.3.3.2 The Problem of "Strongly Correlated" Systems (DFT=+U) -- 2.3.4 The CRYSTAL Package -- 2.3.4.1 General Features -- 2.3.4.2 The Basis Set Problem -- 2.4 Role of Computational Parameters on Density Functions -- 2.4.1 ED of Silicon and Diamond: Basis Set and Hamiltonian Effects -- 2.4.2 Environmental Effects on the DFs of a Molecular Crystal: Urea -- 2.4.3 ED, EMD, CPF of Simple Metals: The Case of Aluminium -- 2.4.4 ESD: The Effect of the Hamiltonian on Spin Localization -- 2.5 Ongoing Developments -- 2.5.1 The Harmonic Treatment of Thermal Effects -- 2.5.2 The Effect of External Fields -- 2.5.3 Post-HF Description of DMs: The Perturbative Approach -- 2.6 Final Considerations -- References -- Chapter 3: Modeling and Analysing Thermal Motion in Experimental Charge Density Studies. 3.1 Introduction -- 3.2 Lattice Dynamics -- 3.3 Atomic Displacement Parameters -- 3.3.1 Beyond the Gaussian Approximation -- 3.3.2 Visualization -- 3.4 Analysis of Atomic Motion -- 3.4.1 Validation -- 3.4.2 Rigid Body Analysis -- 3.4.2.1 Beyond the Rigid Body Approximation -- 3.4.2.2 Thermodynamics from Analysis of ADPs -- 3.5 Complementary Information on Thermal Motion in Crystals -- 3.5.1 Neutron Diffraction Studies -- 3.5.1.1 Relating Data from X-Ray and Neutron Experiments -- 3.5.1.2 Scaling of ADPs -- 3.5.1.3 Deuteration of Crystals -- 3.5.1.4 Comparison of ADPs: Agreement Indices -- 3.5.2 Atomic Motion Derived from Force-Field or ab-initio Calculations -- 3.5.2.1 An Example for the Urea Crystal -- 3.5.3 Estimating ADPs for Hydrogen Atoms -- 3.5.3.1 Estimates Combining External and Internal Motion -- 3.5.3.2 Spectroscopic Evidence -- 3.5.3.3 Information from Neutron Diffraction Studies -- 3.5.3.4 Information from ab-initio Calculations -- 3.6 Outlook -- References -- Chapter 4: Spin and the Complementary Worlds of Electron Position and Momentum Densities -- 4.1 Introduction -- 4.2 Spin Densities in Momentum Space -- 4.3 Experimental Approaches -- 4.4 Recent Research -- 4.4.1 Combining Real and Momentum Space Studies -- 4.4.2 Spin Polarisation in Highly Spin-Polarised Materials -- 4.4.3 Use of Reconstruction -- 4.5 X-ray Diffraction-Based Studies of Spin Density -- References -- Chapter 5: Past, Present and Future of Charge Density and Density Matrix Refinements -- 5.1 Introduction -- 5.2 Reconstruction of Density Matrices -- 5.2.1 Experimental Information Relevant to Densities and Density Matrices -- 5.2.2 Total Scattering -- 5.2.3 Elastic Scattering -- 5.2.4 Inelastic Scattering -- 5.2.5 Reconstruction and Refinement Techniques -- 5.2.6 Combining Different Experimental Data in a Unique Refinement. 5.2.7 Refinement of One-Electron Reduced Density Matrices -- 5.3 Electron Density Reconstruction -- 5.3.1 The Pseudoatom Formalism -- 5.3.2 Generalized Multipole Projection -- 5.3.3 Restricted Multipole Formalism and Pseudoatom Fitting -- 5.3.4 Multipole Refinement -- 5.3.5 Uncertainties in Experimentally Determined Pseudoatom Densities -- 5.3.6 Studies Using Simulated Data -- 5.3.7 Toward Improving the Pseudoatom Model -- References -- Chapter 6: Using Wavefunctions to Get More Information Out of Diffraction Experiments -- 6.1 Introduction -- 6.2 Can a Wavefunction Be Determined Experimentally? -- 6.2.1 Experimental Wavefunctions - Briefly -- 6.2.2 How to Determine Wavefunction Parameters? -- 6.2.2.1 Importance of Diffraction Experiments -- 6.2.2.2 Constrained Electronic Wavefunctions -- 6.2.2.3 Refining Nuclear Parameters -- 6.2.2.4 Strategies for Finding Nuclear Position Parameters in the Electronic Wavefunction and the Associated Phenomenological Parameters -- 6.2.3 Details of the Hirshfeld Atom Refinement Method -- 6.2.3.1 Choice of Crystal Wavefunction -- 6.2.3.2 Expression for the Electron Density of Molecule M -- 6.2.3.3 Expression for the Unit-Cell Electron Density -- 6.2.3.4 Hirshfeld Atom Partitioning -- 6.2.3.5 Structure Factors -- 6.2.3.6 Dealing with Thermal Smearing -- 6.2.3.7 Final Expression for the Structure Factors and Refinement of Parameters -- 6.2.4 Details of the Constrained-Wavefunction Method -- 6.2.4.1 Dealing with Thermal Averaging Effects: Alternatives -- 6.2.4.2 Structure Factors Formula Exhibiting Density Matrix Dependence -- 6.2.4.3 X-ray Constrained Hartree-Fock (and DFT) Wavefunctions -- 6.2.4.4 Solving the X-ray Data Constraint -- 6.2.5 Discussion of the Constrained Wavefunction Method -- 6.2.5.1 Terminology: Constraint or Restraint? -- 6.2.5.2 Interchangeable Role of E and X2 -- Interpretation of the λ Parameter. 6.2.5.3 Alternative Methods of Solving the Constrained-Least Squares Equations -- 6.2.5.4 Does the Magnitude of λ Have Any Significance? -- 6.2.5.5 Is a Constrained Wavefunction "Worse" than an Unconstrained One? -- 6.2.5.6 Constraint and Regularisation -- 6.2.5.7 Constrained Wavefunctions vs. the Maximum Entropy Method (MEM) -- 6.2.5.8 Alternative Penalty Functions -- More than One Set of Experimental Data -- 6.2.5.9 Relationship of the Orbitals to those from DFT -- Orbital Plots -- 6.2.5.10 When to Terminate a Constrained Fitting procedure? -- 6.2.6 Computer Implementation of the Constrained-Wavefunction and Hirshfeld Atom Refinement Techniques -- 6.3 The History of Obtaining Experimental Wavefunctions -- 6.3.1 Early Work -- 6.3.2 Period 1990- -- 6.3.3 Momentum Space Approaches -- 6.4 Atom Positional Information Derived from Wavefunctions -- 6.4.1 Agreement Statistics -- 6.4.2 Bond Lengths -- 6.4.3 ADP's -- 6.5 Electronic Properties from X-ray Constrained Wavefunctions -- 6.5.1 Deformation Densities -- 6.5.2 In Crystal Dipole Moments -- 6.5.3 Response Properties: In-Crystal Polarisabilities and Refractive Indices -- 6.6 Concluding Remarks, and the Future -- References -- Chapter 7: Local Models for Joint Position and Momentum Density Studies -- 7.1 Introduction -- 7.2 Local Models, A Progressive Cluster Approach to the 1-RDM -- 7.3 From Computation to Refinement -- 7.3.1 Ice and the Hydrogen Bond Issue: An Example of a Moderately Disordered System -- 7.3.2 Refinement at the Lowest Order in Cluster Size -- 7.4 Conclusion -- References -- 8 Magnetization Densities in Material Science -- 8.1 Introduction -- 8.2 Polarized Neutron Diffraction -- 8.2.1 The Flipping Ratio Method -- 8.2.2 Recent Progress in PND -- 8.2.2.1 Instrumental Developments -- 8.2.2.2 Recent Advances in Powder PND -- 8.2.2.3 Light-Coupled PND. 8.3 Modern Trends in Magnetization Density Reconstruction and Analysis. Focusing on developments from the past 10-15 years, this volume presents an objective overview of the research in charge density analysis. The most promising methodologies are included, in addition to powerful interpretative tools and a survey of important areas of research. EBL201804 Particle Physics - Theory SzGeCERN BOOK Macchi, Piero https://cds.cern.ch/auth.py?r=EBLIB_P_885900 ebook n 201814 21 PUBLIC https://catalogue.library.cern/legacy/2311782 BOOK MIGRATED 2311755 SzGeCERN 20190226231417.0 9780203895351 (electronic bk.) electronic version electronic version 9780415446693 9780415446693 print version oai:cds.cern.ch:2311755 cerncds:BOOK EBL 327296 eng QC809.F5F587 2008 530.417 Gualtieri, Carlo Fluid mechanics of environmental interfaces Independence, MO Taylor & Francis 2008 349 p ebook Book Cover -- Title -- Copyright -- Table of contents -- Preface -- Biographies of the authors -- CHAPTER ONE Environmental fluid mechanics: Current issues and future outlook -- Part one: Processes at atmospheric interfaces -- CHAPTER TWO Point source atmospheric diffusion -- CHAPTER THREE Air-sea interaction -- CHAPTER FOUR Modelling of flux exchanges between heterogeneous surface and atmosphere -- CHAPTER FIVE Desert dust uptake-transport and deposition mechanisms-impacts of dust on radiation, clouds and precipitation -- Part two: Processes at water interfaces -- CHAPTER SIX Gas-transfer at unsheared free-surfaces -- CHAPTER SEVEN Advective diffusion of air bubbles in turbulent water flows -- Part three: Processes at interfaces of biotic systems -- CHAPTER EIGHT Transport processes in the soil-vegetation-lower atmosphere system -- CHAPTER NINE Turbulence and wind above and within the forest canopy -- CHAPTER TEN Boundary layer development over rigid submerged vegetation -- CHAPTER ELEVEN Mass transport in aquatic environments -- Author Index -- Subject Index. Fluid Mechanics of Environmental Interfaces describes the concept of the environmental interface, defined as a surface between two either abiotic or biotic systems. These are in relative motion and exchange mass, heat and momentum through biophysical and/or chemical processes. These processes are fluctuating temporally and spatially.The book will be of interest to graduate students, PhD students as well as researchers in environmental sciences, civil engineering and environmental engineering, (geo)physics and applied mathematics. EBL201804 SzGeCERN Other Fields of Physics EBL Atmospheric turbulence EBL Electronic books -- local EBL Fluid mechanics EBL Geophysics -- Fluid models EBL Hydrology BOOK Mihailovic, Dragutin T 2nd ed. 2012 2311799 https://cds.cern.ch/auth.py?r=EBLIB_P_327296 ebook n 201814 21 PUBLIC BOOK DELETED 2311733 SzGeCERN 20210421205159.0 9781844039838 print version, hardback 1844039838 print version, hardback oai:cds.cern.ch:2311733 cerncds:BOOK eng 92 93:5 305 Tsjeng, Zing Forgotten women the scientists London Cassell 2018 224 p paper The women who shaped and were erased from our history. The Forgotten Women series will uncover the lost histories of the influential women who have refused over hundreds of years to accept the hand they've been dealt and, as a result, have formed, shaped and changed the course of our futures. The Scientists celebrates 48* unsung scientific heroines whose hugely important, yet broadly unacknowledged or incorrectly attributed, discoveries have transformed our understanding of the scientific world. Mary Anning, the amateur paleontologist whose fossil findings changed scientific thinking about prehistoric life Emmy Noether, dubbed "The Mighty Mathematician You've Never Heard Of" Ynés Mexía, the Mexican-American botanist who discovered over 500 new plant species Wangari Maathai, who started an environmental and ecological revolution in Kenya Margaret Sanger, the maverick nurse who paved the way for the legalization of contraception Chapters including Earth & Universe; Biology & Natural Sciences; Medicine & Psychology; Physics & Chemistry; Mathematics and Technology & Inventions profile the female scientists who have defied the odds, and the opposition, to change the world around us. *The number of Nobel-prize-winning women. SzGeCERN Biography, Geography, History BOOK CERN Central Library 92 TSJ 201804 h 201814 21 https://catalogue.library.cern/legacy/2311733 BOOK MIGRATED 2311282 SzGeCERN 20210421205231.0 9783319714035 print version 9783319714042 electronic version electronic version DOI 10.1007/978-3-319-71404-2 ebook oai:cds.cern.ch:2311282 cerncds:BOOK eng Borcard, Daniel Numerical ecology with R 2nd ed. Cham Springer 2018 ebook Use R! 2197-5736 Chapter 1. Introduction -- Chapter 2. Exploratory Data Analysis -- Chapter 3. Association Measures and Matrices -- Chapter 4. Cluster Analysis -- Chapter 5. Unconstrained Ordination -- Chapter 6. Canonical Ordination -- Chapter 7. Spatial Analysis of Ecological Data -- Chapter 8. Community Diversity. This new edition of Numerical Ecology with R guides readers through an applied exploration of the major methods of multivariate data analysis, as seen through the eyes of three ecologists. It provides a bridge between a textbook of numerical ecology and the implementation of this discipline in the R language. The book begins by examining some exploratory approaches. It proceeds logically with the construction of the key building blocks of most methods, i.e. association measures and matrices, and then submits example data to three families of approaches: clustering, ordination and canonical ordination. The last two chapters make use of these methods to explore important and contemporary issues in ecology: the analysis of spatial structures and of community diversity. The aims of methods thus range from descriptive to explanatory and predictive and encompass a wide variety of approaches that should provide readers with an extensive toolbox that can address a wide palette of questions arising in contemporary multivariate ecological analysis. The second edition of this book features a complete revision to the R code and offers improved procedures and more diverse applications of the major methods. It also highlights important changes in the methods and expands upon topics such as multiple correspondence analysis, principal response curves and co-correspondence analysis. New features include the study of relationships between species traits and the environment, and community diversity analysis. This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications. People from other fields (e.g. geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presented in this book. Users are invited to use this book as a teaching companion at the computer. All the necessary data files, the scripts used in the chapters, as well as extra R functions and packages written by the authors of the book, are available online (URL: http://adn.biol.umontreal.ca/~numericalecology/numecolR/). Mathematics and statistics SPR201804 SzGeCERN Mathematical Physics and Mathematics SPR Ecology SPR Environmental sciences SPR Theoretical EcologyStatistics SPR Math Appl in Environmental Science BOOK Gillet, François Legendre, Pierre 1st ed. 2011 1500660 edition 201804 SPR n 201814 21 PUBLIC https://catalogue.library.cern/legacy/2311282 BOOK MIGRATED 2311269 SzGeCERN 20210421205233.0 9783319681443 print version 9783319681467 electronic version electronic version DOI 10.1007/978-3-319-68146-7 ebook oai:cds.cern.ch:2311269 cerncds:BOOK eng QB495-500.269 23 520 23 500.5 Lakdawalla, Emily The design and engineering of curiosity how the Mars Rover performs its job Cham Springer 2018 ebook Springer Praxis books Dedication -- Foreword -- Acknowledgements -- Preface -- Chapter 1: Mars Science Laboratory -- Chapter 2: Getting to Mars -- Chapter 3: Mars Operations -- Chapter 4: How the Rover Works -- Chapter 5: SA/SPaH: Acquisition, Processing, and Handling -- Chapter 6: The Mast, Engineering Cameras, Navigation, and Hazard Avoidance -- Chapter 7: Curiosity's Science Cameras -- Chapter 8: Curiosity's Environmental Sensing Instruments -- Chapter 9: Curiosity's Chemistry Instruments -- Epilogue: Back on Earth -- Appendix -- About the Author -- Index. This book describes the most complex machine ever sent to another planet: Curiosity. It is a one-ton robot with two brains, seventeen cameras, six wheels, nuclear power, and a laser beam on its head. No one human understands how all of its systems and instruments work. This essential reference to the Curiosity mission explains the engineering behind every system on the rover, from its rocket-powered jetpack to its radioisotope thermoelectric generator to its fiendishly complex sample handling system. Its lavishly illustrated text explains how all the instruments work -- its cameras, spectrometers, sample-cooking oven, and weather station -- and describes the instruments' abilities and limitations. It tells you how the systems have functioned on Mars, and how scientists and engineers have worked around problems developed on a faraway planet: holey wheels and broken focus lasers. And it explains the grueling mission operations schedule that keeps the rover working day in and day out.   . Physics and astronomy SPR201804 SzGeCERN Astrophysics and Astronomy SPR Planetology SPR Astrobiology SPR Popular Science in Astronomy BOOK 201804 SPR n 201814 21 PUBLIC https://catalogue.library.cern/legacy/2311269 BOOK MIGRATED 2318926 SzGeCERN 20220701002321.0 DOI submitter 10.1016/j.future.2016.11.005 oai:inspirehep.net:1673608 cerncds:CERN ForCDS http://inspirehep.net/oai2d 2018-05-19T04:00:06Z marcxml oai:inspirehep.net:1673608 2018-05-18T12:40:47Z Inspire 1673608 eng Trilles, Sergio strilles@uji.es Jaume I U., Castellon submitter Deployment of an open sensorized platform in a smart city context crossref Deployment of an open sensorized platform in a smart city context 2017 13 p submitter The race to achieve smart cities is producing a continuous effort to adapt new developments and knowledge, for administrations and citizens. Information and Communications Technology are called on to be one of the key players to get these cities to use smart devices and sensors (Internet of Things) to know at every moment what is happening within the city, in order to make decisions that will improve the management of resources. The proliferation of these “smart things” is producing significant deployment of networks in the city context. Most of these devices are proprietary solutions, which do not offer free access to the data they provide. Therefore, this prevents the interoperability and compatibility of these solutions in the current smart city developments. This paper presents how to embed an open sensorized platform for both hardware and software in the context of a smart city, more specifically in a university campus. For this integration, GIScience comes into play, where it offers different open standards that allow full control over “smart things” as an agile and interoperable way to achieve this. To test our system, we have deployed a network of different sensorized platforms inside the university campus, in order to monitor environmental phenomena. SzGeCERN Computing and Computers author Internet of Things author Smart cities author Open-hardware author GIScience author Environmental monitoring author GEOEvent CERN ARTICLE Calia, Andrea andrea.calia@cern.ch CERN Belmonte, Óscar belfern@uji.es Jaume I U., Castellon Torres-Sospedra, Joaquín jtorres@uji.es Jaume I U., Castellon Montoliu, Raúl montoliu@uji.es Jaume I U., Castellon Huerta, Joaquín huerta@uji.es Jaume I U., Castellon 221-233 2017 Future Gener. Comput. Syst. 76 13 ARTICLE 2318923 SzGeCERN 20180607151932.0 DOI submitter 10.1016/j.fusengdes.2017.02.099 oai:inspirehep.net:1673603 cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1673603 2018-05-18T13:39:52Z 2018-05-19T04:00:06Z marcxml Inspire 1673603 eng Subbotin, Mikhail Subbotin_ML@nrcki.ru Kurchatov Inst., Moscow submitter Preliminary risks analysis of the IGNITOR Project realization phase crossref Preliminary risks analysis of the IGNITOR Project realization phase 2017 5 p Presented at the 29th Symposium on Fusion Technology (SOFT-29) Prague, Czech Republic, September 5-9, 2016 submitter In the framework of the joint Russian – Italian collaboration on the development of the IGNITOR project some preliminary estimates of the risk factors that may be occurring during the realization of the project were recently carried out. A distinctive feature of the IGNITOR project is the fact that it contains some innovative solutions in the areas of research, engineering and technology, often having no analogues not only in industry but also outside the specific laboratories and research centers responsible for the development of necessary components. In addition, it is necessary to point out several peculiarities of the IGNITOR project, which distinguish it from other large-scale scientific projects in the sphere of controlled thermonuclear fusion with magnetic confinement, implemented on the basis of the tokamak technology, and which are risk-related in terms of the project realization: 1. The super strong magnetic fields (up to 13 T); 2. The high plasma current discharge (up to 11 MA); 3. Ohmic heating as the main mechanism of ignition of the thermonuclear fusion reaction. During of the risk analysis investigation the following categories of risks were identified: ● political; ● economical; ● achievement of the main goal of the project; ● technical and technological risks; ● risks of implementation of the scientific research program; ● environmental, safety and socio-economical risks. The different impact factors on the realization phase of the IGNITOR project are shown and analyzed. The conclusions of the risks analysis that were obtained are summarized in the joint Table, where the risk category, the description of the problem, circumstances, risk mitigation method and comments are displayed. SzGeCERN Engineering author Fusion author Tokamak author Risk author Analysis author Ignitor CERN Bianchi, Aldo INFN, Genoa Bombarda, Francesca INFN, Rome Kravchuk, Vladimir Kurchatov Inst., Moscow Nappi, Eugenio INFN, Bari Spigo, Giancarlo CERN 1246-1250 Fusion Eng. Des. 124 2017 13 ARTICLE ConferencePaper 2318266 SzGeCERN 20210423002928.0 IEC-61587-1 eng fre 31.240 International Electrotechnical Commission. Geneva Mechanical structures for electronic equipment – Tests for IEC 60917 and IEC 60297 series – Part 1: Environmental requirements, test set-up and safety aspects for cabinets, racks, subracks and chassis under indoor condition use and transportation Structures mécaniques pour équipement électronique – Essais pour les séries IEC 60917 et IEC 60297 Partie 1: Exigences environnementales, montage d’essai et aspects liés à la sécurité des baies, bâtis, bacs à cartes et châssis dans des conditions d’utilisation intérieure ou de transport Geneva IEC 2016 94 p SzGeCERN Engineering STANDARD 1403747 2909149 http://cds.cern.ch/record/2318266/files/iec61587-1-2016.pdf 1403747 9828296 http://cds.cern.ch/record/2318266/files/iec61587-1-2016.pdf?subformat=pdfa pdfa h 201820 21 https://catalogue.library.cern/legacy/2318266 BOOK STANDARD MIGRATED 2318123 SzGeCERN 20190117232958.0 9780444538710 (electronic bk.) electronic version 9780444538703 electronic version 9780444538703 print version oai:cds.cern.ch:2318123 cerncds:BOOK EBL 1319048 eng QD505.N49 2013eb 541.395 Suib, Steven L New and future developments in catalysis catalysis for remediation and environmental concerns Oxford Elsevier 2013 631 p ebook Intro -- Half Title -- Title Page -- Copyright -- Contents -- Introduction -- Contributors -- 1 Photocatalysts for Elimination of Toxins on Surfaces and in Air Using UV and Visible Light -- 1.1 Introduction -- 1.2 Titanium Dioxide-Based Photocatalysis -- 1.2.1 Non-Metal Doping -- 1.2.2 Metal Doping -- 1.3 Photocatalytic Mineralization of Organic Pollutants with Titania-Based Mixed Oxide Supports -- 1.4 Silica-Based Photocatalysis -- Acknowledgments -- References -- 2 Cleaner, Greener Approaches to Synthetic Chemistry -- 2.1 Introduction -- 2.2 Principles of Green Chemistry -- 2.3 Addressing the Need to Heat -- 2.3.1 Use of Microwave Heating -- 2.3.1.1 Concepts -- 2.3.1.2 Scale-Up -- 2.3.1.2.1 Continuous-Flow Processing -- 2.3.1.2.2 Open-Vessel Batch Processing -- 2.3.1.2.3 Sealed-Vessel Batch Processing -- 2.4 Addressing the Choice of Solvent -- 2.4.1 Water as a Solvent -- 2.4.1.1 Water as a Solvent in Conjunction with Microwave Heating -- 2.4.1.1.1 Metal-Catalyzed Cross Coupling Reactions -- 2.5 Addressing the Need for Less Toxic Reagents -- 2.5.1 Preparation of Aryl Nitriles -- 2.6 Addressing the need to Monitor -- 2.6.1 Use of a Digital Camera -- 2.6.2 Use of Thermal Imaging Equipment -- 2.6.3 Use of in-situ Spectroscopic Tools -- 2.6.3.1 Raman Spectroscopy -- 2.6.3.2 Infrared Spectroscopy -- 2.6.3.3 UV-Vis and Fluorescence Spectroscopy -- 2.7 Summary -- Acknowledgments -- References -- 3 Green Synthesis of Iron Nanomaterials for Oxidative Catalysis of Organic Environmental Pollutants -- 3.1 Synthesis -- 3.1.1 Zero-Valent Iron (ZVI) -- 3.1.2 Iron Oxide -- 3.1.3 Iron Phosphate -- 3.1.4 Iron Bimetallic -- 3.1.5 Green Reducing Agents -- 3.1.6 Green Capping Agents -- 3.1.7 Green Template/Surfactant -- 3.1.8 Green Solvents -- 3.2 Characterization -- 3.2.1 Structures -- 3.2.2 Morphology -- 3.2.3 Textural and Surface Properties -- 3.2.4 Compositions. 3.3 Applications -- 3.3.1 Organic Dyes -- 3.3.2 Halogenated Compounds -- 3.3.2.1 Decabromodiphenyl Ether -- 3.3.2.2 Other Brominated compounds -- 3.3.2.3 Tricholoroethene (TCE) -- 3.3.2.4 Other Chlorinated Compounds -- 3.3.3 Non-Halogenated Compounds -- 3.4 Conclusions and Future Directions -- Acknowledgment -- References -- 4 Catalysts for Environmental Remediation-Examples in Photo- and Heterogeneous Catalysis -- 4.1 Introduction -- 4.2 Examples in Heterogeneous Catalysis -- 4.2.1 The Catalyst-General Concepts -- 4.2.2 Selective Catalytic Reduction (SCR) of NOx-a Specific Example -- 4.2.2.1 Introduction to SCR for DeNOx -- 4.2.2.2 The SCR catalyst -- 4.3 Examples in Photocatalysis -- 4.3.1 Introduction -- 4.3.1.1 Brief Historical Outline -- 4.3.2 General Introduction to Photocatalytic Conversion -- 4.3.3 General Principles and Requirements for Photocatalysts -- 4.3.3.1 Timescales for Processes in Photocatalysis -- 4.3.3.2 Mineralization of Organics -- 4.3.3.3 Kinetic Parameters -- 4.3.4 Alternative Photocatalysts to TiO2: MoS2 as an Example -- 4.4 Conclusions -- References -- 5 Catalytic Processes for the Production of Clean Fuels -- 5.1 Introduction -- 5.1.1 Fuel Demand -- 5.1.2 Emissions -- 5.1.3 Catalytic Processes to Produce Clean Fuels -- 5.1.4 Syngas-Based Thermochemical Processes -- 5.2 Syngas-Based Fuels -- 5.2.1 Syngas Production -- 5.2.1.1 Gasification of Coal -- 5.2.1.1.1 Types of Coal Gasifiers -- 5.2.1.1.2 New Methods -- 5.2.1.2 Gasification of Biomass -- 5.2.1.2.1 Oxidants -- 5.2.1.2.2 Gasifiers -- 5.2.1.3 Reforming of Natural Gas -- 5.2.1.3.1 Steam Reforming -- 5.2.1.3.2 CO2 Reforming -- 5.2.1.3.3 Partial Oxidation -- 5.2.1.3.4 Problems with Conventional Techniques -- 5.2.1.3.5 Modern Methods -- 5.2.1.3.6 Natural Gas Cleanup -- 5.2.1.4 Reforming of Liquid Fuels -- 5.2.1.4.1 Steam Reforming -- 5.2.1.4.2 Partial Oxidation (POX). 5.2.1.4.3 Autothermal Reforming -- 5.2.1.4.4 Problems with Conventional Methods -- 5.2.1.4.5 Novel Catalysts -- 5.2.1.4.6 Non-Conventional Reforming Methods -- 5.2.2 Syngas Conversion to Fuels -- 5.2.2.1 Gas Cleanup -- 5.2.2.2 Hydrocarbons (Fischer-Tropsch (FT)) -- 5.2.2.2.1 FT Catalysts -- 5.2.2.2.1.1 Fe-Based Catalyst -- 5.2.2.2.1.2 Co-Based Catalyst -- 5.2.2.2.1.3 Novel Catalysts -- 5.2.2.2.2 Reaction Conditions -- 5.2.2.2.3 FT Fuels -- 5.2.2.3 Oxygenates -- 5.2.2.3.1 Cu-based catalysts -- 5.2.2.3.2 Rh-Based Catalysts -- 5.2.2.3.3 Modified Fischer-Tropsch (FT) Catalysts -- 5.2.2.3.4 Mo-Based Catalysts -- 5.2.2.3.5 Novel Catalysts -- 5.3 Biofuels -- 5.3.1 Catalytic Conversion of Bio/Pyrolysis Oil -- 5.3.1.1 Hydrotreating (Hydrodeoxygenation -- HDO) of Bio-Oil -- 5.3.1.1.1 Biomass to Biofuels -- 5.3.1.1.2 Catalysts -- 5.3.1.1.2 Solvent -- 5.3.1.1.3 Reactors -- 5.3.1.1.4 Properties of Hydrotreated Bio-Oil -- 5.3.1.2 Cracking of Bio-Oil -- 5.3.1.3 Problems Associated with Upgrading Bio-Oil -- 5.4 Conclusions -- References -- 6 Advances in Sorbents and Photocatalytic Materials for Water Remediation -- 6.1 Introduction -- 6.2 Zeolites as Sorbents -- 6.2.1 Surfactant-Modified Zeolites (SMZ) -- 6.2.2 Stability and Regeneration -- 6.3 Photocatalysis -- 6.3.1 Tungsten Oxide -- 6.3.2 Iron Oxides -- 6.3.3 Niobium Oxide -- 6.3.4 Cerium Oxide -- 6.3.5 Bismuth Oxide -- 6.3.6 Bismuth Oxyhalides -- 6.3.7 Supported Bi2O3 -- 6.3.8 Bismuth Metallates -- 6.3.8.1 Bismuth Vanadate -- 6.3.8.2 Bismuth Tungstate -- 6.3.8.3 Bismuth Molybdates -- 6.3.8.4 Other Ternary Bi Compounds -- 6.4 Conclusion -- References -- 7 Abatement of NOx and N2O Using Zeolite Catalysts -- 7.1 Introduction -- 7.2 H-Zeolites -- 7.2.1 N2O Abatement over H-Zeolites -- 7.2.2 NO Abatement over H-Zeolites -- 7.3 Metallo-Zeolites -- 7.3.1 Noble Metal-Zeolites -- 7.3.1.1 Platinum Group Metal-Zeolites. 7.3.1.1.1 N2O Abatement over Platinum Group Metal-Zeolites -- 7.3.1.1.2 NOx Abatement over Platinum Group Metal-Zeolites -- 7.3.1.2 Ag-Zeolites -- 7.3.2 Transition Metal-Zeolites -- 7.3.2.1 Mn-Zeolites -- 7.3.2.2 Fe-Zeolites -- 7.3.2.2.1 N2O Abatement Over Fe-Zeolites -- 7.3.2.2.1.1 N2O Decomposition Over Fe-Zeolites -- 7.3.2.2.1.2 SCR-N2O Over Fe-Zeolites -- 7.3.2.2.2 NOx Abatement Over Fe-Zeolites -- 7.3.2.3 Co-Zeolites -- 7.3.2.3.1 N2O Abatement Over Co-Zeolites -- 7.3.2.3.2 NOx Abatement Over Co-Zeolites -- 7.3.2.3.2.1 CHx-SCR-NOx -- 7.3.2.4 Ni-Zeolites -- 7.3.2.5 Cu-Zeolites -- 7.3.2.5.1 N2O Abatement Over Cu-Zeolites -- 7.3.2.5.2 NOx Abatement Over Cu-Zeolites -- 7.3.3 Zeolites with Non-Transition Metals -- 7.3.4 Lanthanides in Zeolites -- 7.4 Bimetallic and Polymetallic Zeolites -- 7.4.1 Doped Cu-Zeolites -- 7.4.2 Doped Fe-Zeolites -- 7.4.3 Combined Fe/Cu-Zeolites -- 7.4.4 Doped Co-Zeolites -- 7.4.5 Doped Noble Metal-Zeolites -- 7.4.6 Polymetallic Zeolite Systems -- 7.4.7 Combined Metallo-Zeolite Catalyst -- 7.5 Conclusions -- Acknowledgments -- References -- 8 The Convergence of Emission Control and Source of Clean Energy -- 8.1 Introduction -- 8.1.1 How a Catalyst Works -- 8.2 Controlling Emissions from Mobile Sources -- 8.2.1 Controlling Emissions from Diesel Engines -- 8.2.2 The Catalytic Exhaust System in a Diesel Engine -- 8.2.3 Controlling NOx in Diesel Engines -- 8.3 Emission Control from Stationary Sources -- 8.3.1 Hydrocarbon and Carbon Monoxide Abatement -- 8.3.2 NOx Control -- 8.4 Biomass to Fuel: A Path to Environmental and Energy Sustainability -- 8.4.1 First Generation Biofuels -- 8.4.1.1 Bioethanol -- 8.4.1.2 Biodiesel -- 8.4.2 Advanced Biofuels -- 8.4.3 Thermochemical Processing of Biomass Waste -- 8.4.3.1 Gasification of Biomass Waste -- 8.4.3.1.1 Role of Catalysis in Biomass Gasification. 8.4.3.1.2 Non-Metallic Catalysts: Dolomite, Olivine, Alkali Metal-Based Catalysts -- 8.4.3.1.3 Metal-Based Catalyst -- 8.4.3.1.4 In Situ Catalytic Gasification -- 8.4.3.1.5 Secondary-Bed Catalytic Gasification -- 8.4.3.2 Fast Pyrolysis of Biomass Waste -- 8.4.3.2.1 Chemical Characterization of Pyrolysis Oil -- 8.4.3.2.2 Pyrolysis Oil Upgrading -- 8.4.3.2.2.1 Hydrodeoxygenation (HDO) -- 8.4.3.2.2.2 Catalytic Cracking (CC) -- 8.4.3.2.2.3 Steam Reforming -- 8.5 Conclusions -- Acknowledgment -- References -- 9 Structured Catalysts for Volatile Organic Compound Removal -- 9.1 Structured Catalysts and Reactors -- 9.2 Application to VOCs Elimination-Powder Catalysts -- 9.2.1 OVOC -- 9.2.2 Hydrocarbons (HVOC) -- 9.2.3 Mixtures of VOCs -- 9.3 Structured Catalyst -- 9.4 Where the Future is? -- References -- 10 Engineering Aspects of Catalytic Converters Designs for Cleaning of Exhaust Gases -- 10.1 Introduction -- 10.2 Overview of Processes and Reactors -- 10.3 Physical Properties of Solid Catalysts -- 10.4 Reaction and Diffusion in Porous Catalysts: Effectiveness Factor -- 10.5 Model of the Tubular Reactor -- 10.6 Permissible Simplifications of the Model -- 10.7 Flow Resistance, Heat, and Mass Transfer Characteristics of Catalytic Reactors -- 10.7.1 Flow Resistance -- 10.7.2 Mass and Heat Transfer -- 10.8 Prospective Catalytic Reactors -- Acknowledgments -- References -- 11 Electrochemical Promotion of Catalysis for Automotive Post-Treatment and Air Cleaning -- 11.1 Concept and Physicochemical Origins -- 11.1.1 Introduction -- 11.1.2 Basic Phenomenology and Origins -- 11.2 Challenges of Automotive Post-Treatment and Air Cleaning -- 11.3 EPOC for Automotive Post-Treatment -- 11.3.1 EPOC for Combustion of Hydrocarbons -- 11.3.1.1 Catalyst Deposition Techniques -- 11.3.1.2 Electrochemical Catalysts and Reactors Configurations for Scaling Up. 11.3.1.2.1 The Bipolar Configuration. New and Future Developments in Catalysis is a package of seven books that compile the latest ideas concerning alternate and renewable energy sources and the role that catalysis plays in converting new renewable feedstock into biofuels and biochemicals. Both homogeneous and heterogeneous catalysts and catalytic processes will be discussed in a unified and comprehensive approach. There will be extensive cross-referencing within all volumes. The various sources of environmental pollution are the theme of this volume. The volume lists all current environmentally friendly catalytic chemical processes used for environmental remediation and critically compares their economic viability. Offers in-depth coverage of all catalytic topics of current interest and outlines future challenges and research areas A clear and visual description of all parameters and conditions, enabling the reader to draw conclusions for a particular case Outlines the catalytic processes applicable to energy generation and design of green processes. EBL201805 Chemical Physics and Chemistry SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1319048 ebook n 201819 201805 21 PUBLIC BOOK DELETED 2318121 SzGeCERN 20180822202549.0 9780444538819 (electronic bk.) electronic version 9780444538802 electronic version EBL 1313395 eng TK2931.B38 2013eb 621.3124 Suib, Steven L New and future developments in catalysis batteries, hydrogen storage and fuel cells Oxford Elsevier 2013 551 p Intro -- Half Title -- Title Page -- Copyright -- Contents -- Introduction -- Contributors -- 1 Catalytic Batteries -- 1.1 Introduction -- 1.2 Metal-Air Batteries -- 1.2.1 Catalytic Materials in Metal-Air Cells -- 1.2.2 Aluminum-Air Batteries -- 1.2.3 Lithium-Air Batteries -- 1.2.4 Magnesium-Air Batteries -- 1.2.5 Zinc-Air Batteries -- 1.3 Environmental Conditions for Catalysts -- 1.4 Safety Concerns for Metal-Air Battery Experimentation -- 1.5 Future of Catalysts in Metal-Air Batteries -- References -- 2 A Novel Enzymatic Technology for Removal of Hydrogen Sulfide from Biogas -- 2.1 Introduction -- 2.2 Experimental -- 2.3 Results and Discussion -- 2.3.1 Effect of Enzyme Concentration -- 2.3.2 Effect of Gas Flow Rate -- 2.3.3 Effect of Enzyme Replenishment -- 2.3.3.1 Replenishment at Saturation Point -- 2.3.3.2 Replenishment at H2S Breakthrough -- 2.3.4 Effect of Packing Material -- 2.3.5 Sulfur Components Recovery -- 2.4 Conclusions -- Acknowledgments -- References -- 3 Electrocatalysts for the ­Electrooxidation of Ethanol -- 3.1 Introduction -- 3.2 Electrooxidation of Ethanol on Polycrystalline Pt, Pt (hkl) Electrodes and Pt/C Electrodes. Identification and Oxidation of Ethanol Adsorbate(s) -- 3.2.1 Electrochemical Studies of the Electrooxidation of Ethanol in Acid Medium -- 3.2.2 Identification of Ethanol Adsorbate and Oxidation Products by EC-FTIR and DEMS on Polycrystalline Pt and Pt/C Electrodes -- 3.2.3 Adsorption and Electrooxidation of Acetic Acid -- 3.2.4 Adsorption and Electrooxidation of Acetaldehyde -- 3.3 Reaction Pathways and Mechanism of the Electrooxidation of Ethanol -- 3.4 Designing of Supported Electrocatalysts for the Electrooxidation of Ethanol -- 3.5 Fuel Cell Studies -- 3.6 Summary -- Acronyms and Symbols -- References -- 4 Catalytic Processes Using Fuel Cells, Catalytic Batteries, and Hydrogen Storage Materials. 4.1 Introduction -- 4.2 Catalytic Processes in Fuel Cells -- 4.2.1 Low-Temperature PEMFCs -- 4.2.1.1 Hydrogen/Air(Oxygen) Fuel Cells -- 4.2.1.1.1 Precious Metal-Based Catalysts -- 4.2.1.1.2 Non-Precious Metal Catalysts -- 4.2.1.2 Catalytic Processes in DMFCs -- 4.2.1.2.1 Mechanism of Methanol Electrooxidation -- 4.2.1.2.2 Precious Metal-Based Catalysts -- 4.2.1.2.3 Non-Precious Metal Catalysts for Methanol Electrooxidation -- 4.2.2 Solid Oxide Fuel Cells -- 4.2.2.1 Methane Steam Reforming -- 4.3 Catalytic Processes in Batteries -- 4.3.1 Metal/Air Batteries -- 4.3.1.1 Aqueous Electrolyte Metal/Air Batteries -- 4.3.1.2 Non-Aqueous Electrolyte Li-Air Batteries -- 4.3.2 Li-Water Batteries -- 4.4 Catalytic Processes in Hydrogen Storage Materials -- 4.4.1 Catalysis in Metal Hydrides -- 4.4.2 Catalysts in Metal Organic Frameworks -- 4.5 Summary -- Acknowledgments -- References -- 5 Hydrogen Storage Materials -- 5.1 Introduction -- 5.2 Essential Properties of Hydrogen in Metals -- 5.2.1 Thermodynamics -- 5.2.2 Kinetics of Hydrogen Absorption and Desorption -- 5.3 Hydride -- 5.3.1 Ionic Hydride -- 5.3.2 Covalent Hydride -- 5.3.3 Metallic Hydride (Interstitial Hydride) -- 5.4 Hydrogen Storage Materials -- 5.4.1 Hydrogen Absorbing Alloys -- 5.4.2 Materials Composed of Light Elements -- 5.4.2.1 Complex Hydride -- 5.4.2.1.1 Amide -- 5.4.2.1.2 Borohydride -- 5.4.2.1.3 Alanate -- 5.4.2.2 Ammonia Borane -- 5.4.2.3 Hydrides Based on Layer-Structural Materials -- 5.4.2.3.1 Mechanical Milled Graphite Under H2 Pressure -- 5.4.2.3.2 Mechanical Milled hBN Under H2 Pressure -- 5.4.2.4 Hydrolysis Reaction of Hydrides with Light Elements -- 5.4.2.4.1 Binary Hydrides -- 5.4.2.4.2 Alanates -- 5.4.2.4.3 Borohydrides -- 5.4.2.5 Nano-Composite Materials with Light Elements -- 5.4.2.5.1 Mg-based Nano-composite Material -- 5.4.2.5.2 Metal-Nitrogen-Hydrogen (M-N-H) systems. 5.4.2.5.3 Metal-Boron-Hydrogen (M-B-H) systems -- 5.4.2.5.4 Metal-Boron-Nitrogen-Hydrogen (M-B-N-H) systems -- 5.4.2.5.5 Al-Based Nano-Composite Materials -- 5.4.2.5.6 Metal-Aluminum-Nitrogen-Hydrogen (M-Al-N-H) systems -- 5.4.2.5.7 Metal-Carbon-Hydrogen (M-C-H) systems -- 5.4.2.5.8 NH3-Hydride System -- 5.4.2.5.9 Ammonia Borane-Hydride System -- 5.4.2.5.10 Lithium Hydrazide -- 5.5 Porous Carbon Materials -- 5.6 Conclusion -- Acknowledgments -- References -- 6 Nanostructured Adsorbents for Hydrogen Storage -- 6.1 Introduction -- 6.2 Carbon Adsorbents -- 6.2.1 Carbon Nanotubes (CNTs) -- 6.2.2 Graphene -- 6.2.3 Graphite and Graphite Nanofiber -- 6.2.4 Activated Carbons (ACs) -- 6.2.5 Templated Carbons (TCs) -- 6.2.6 Factors Influencing Hydrogen Storage in Carbon Sorbents -- 6.2.6.1 Surface Area/Pore Volume -- 6.2.6.2 Pore Size -- 6.2.6.3 Dopants -- 6.2.6.4 Hydrogen Spillover -- 6.2.6.5 Boron-Substitution -- 6.2.6.6 Nitrogen-Substitution -- 6.2.6.7 Oxidation Treatment -- 6.3 MOFs, COFs, and ZIFs Sorbents -- 6.3.1 MOFs -- 6.3.2 COFs -- 6.3.3 ZIFs -- 6.3.4 Factors Influencing Hydrogen Storage in MOFs, COFs, and ZIFs -- 6.3.4.1 Surface Area/Pore Volume -- 6.3.4.2 Pore Size -- 6.3.4.3 Coordinatively Unsaturated Metal Sites -- 6.3.4.4 Alkali-Metal Dopants -- 6.3.4.5 Hydrogen Spillover -- 6.4 Zeolites -- 6.5 Silicas -- 6.6 Summary -- References -- 7 Transition Metal Nanoparticles as Catalyst in Hydrogen Generation from the Boron-Based Hydrogen Storage Materials -- 7.1 Introduction -- 7.2 Preparation and Stabilization of Transition Metal Nanoparticles -- 7.3 Transition Metal Nanoparticles Catalyst in Hydrogen Generation from the Hydrolysis of Sodium Borohydride -- 7.4 Transition Metal Nanoparticles Catalysts in Hydrogen Generation from the Hydrolysis of Ammonia Borane. 7.5 Transition Metal Nanoparticles Catalysts in Hydrogen Generation from the Methanolysis of Ammonia Borane -- 7.6 Transition Metal(0) Nanoparticles as Catalyst in the Dehydrogenation of Ammonia Borane -- 7.7 Transition Metal(0) Nanoparticles as Catalyst in the Dehydrogenation of Dimethylamine Borane -- 7.8 Transition Metal(0) Nanoparticles as Catalyst in The Dehydrogenation of Hydrazine Borane -- 7.9 Concluding Remarks -- Acknowledgment -- References -- 8 Challenges in the Assembly of Membrane Electrode Assemblies for Regenerative Fuel Cells using Pt/C, Iridium Black, and IrO2 Catalysts -- 8.1 Introduction -- 8.2 Experimental Methods -- 8.2.1 Materials -- 8.2.1.1 Gas Diffusion Layer -- 8.2.1.2 Proton Exchange Membrane -- 8.2.1.3 Catalysts -- 8.2.1.4 Inks -- 8.2.2 Membrane Electrode Assembly -- 8.2.3 Assembly of the SPE and Testing Module -- 8.3 Results and Discussions -- 8.3.1 Characterization of Homemade Iridium Oxide Catalyst -- 8.3.2 SPE Performance -- 8.3.2.1 Effect of the Change in the Hydrophobic Properties of the GDL -- 8.3.2.2 Effect of Catalyst Loading -- 8.3.2.3 MEA Replicability and Durability -- 8.3.2.4 Unsupported Anode Catalysts I: Homemade Iridium Oxide -- 8.3.2.5 Use of Unsupported Anode Catalysts (Iridium Black) and the Effect of Water Flow Rate and Water Purity -- 8.3.2.6 Use of Unsupported Anode Catalysts (Iridium Black): Loading and Temperature Effects -- 8.3.2.7 Use of GEFC® Membranes -- 8.3.2.8 Effects of Different Carbon-Based GDL Components on SPE Performance -- 8.3.2.9 Effect of Non-Carbon (Ti Fibers)-Based GDL on SPE Performance -- 8.3.2.9.1 Stability Tests on MEA 55 and Related MEAs -- 8.3.3 Maximizing Current Density Outputs on MEAs with Unsupported Catalysts -- 8.3.3.1 Assembly Factors and Current Density Relationships -- 8.3.3.2 Re-testing Flow Rate Effects -- 8.3.3.3 Thin Proton Conductive Membrane. 8.3.3.4 Reducing External Ohmic Loses -- 8.4 Conclusions -- Acknowledgments -- References -- 9 Catalysis in Fuel Cells and Hydrogen Production -- 9.1 Direct Methanol Fuel Cells-Role of Electrocatalysts -- 9.1.1 Role of Anode Electrocatalysts-Methanol Oxidation Reaction (MOR) -- 9.1.2 Role of Cathode Electrocatalysts-Oxygen Reduction Reaction (ORR) -- 9.2 Characterization Techniques for Anode and Cathode Catalysts -- 9.2.1 Fundamental Aspects -- 9.2.2 X-Ray Diffraction (XRD) -- 9.2.3 X-Ray Absorption Spectroscopy -- 9.2.4 Surface and Core Composition in Bimetallic Nanoparticles-An XAS Methodology -- 9.2.5 X-Ray Photoelectron Spectroscopy (XPS) -- 9.2.6 Reversibility of Hads/des Reaction and Roughness Factor (RF) of Pt-based Catalysts -- 9.2.7 Electrochemical Active Surface Area (ECASA) and Particle Size of Pt-based Catalysts -- 9.2.8 Adsorptive CO-Stripping Voltammetry (COads-SV) -- 9.2.9 Rotating Disk Electrode (RDE) -- 9.2.10 Rotating Ring-Disk Electrode (RRDE) Method -- 9.2.11 Linear Sweep Voltammetry (LSV) -- 9.3 Hydrogen Production-Role of Photocatalysis -- 9.3.1 Basic Principles of Semiconductor Photocatalytic Hydrogen Production -- 9.3.2 Elements Constructing Photocatalyst Materials -- 9.3.3 Wide Band Gab Photocatalyst for Water Splitting Under UV Irradiation -- 9.3.4 Group 4 Metal Oxides with d0 Electronic Configuration -- 9.3.5 Group 5 Metal Oxides with d0 Electronic Configuration -- 9.3.6 Tantalum Oxide and Tantalates -- 9.3.7 Effect of Sacrificial Systems -- 9.3.8 Effect of Metal and Nonmetal Ion Doping -- 9.3.9 Effect of Cocatalyst -- Conclusions and Outlook -- Acknowledgments -- References -- 10 Fuel Cell Catalysis from a Materials Perspective -- 10.1 Novel Catalyst Concepts -- 10.1.1 Core-Shell Catalysts -- 10.1.2 Noble Metal-Free Catalysts -- 10.1.3 Shape-Selected Nanoparticles -- 10.2 Alternative Catalyst Supports. 10.2.1 Carbonaceous Support Materials. New and Future Developments in Catalysis is a package of seven books that compile the latest ideas concerning alternate and renewable energy sources and the role that catalysis plays in converting new renewable feedstock into biofuels and biochemicals. Both homogeneous and heterogeneous catalysts and catalytic processes will be discussed in a unified and comprehensive approach. There will be extensive cross-referencing within all volumes. Batteries and fuel cells are considered to be environmentally friendly devices for storage and production of electricity, and they are gaining considerable attention. The preparation of the feed for fuel cells (fuel) as well as the catalysts and the various conversion processes taking place in these devices are covered in this volume, together with the catalytic processes for hydrogen generation and storage. An economic analysis of the various processes is also part of this volume and enables an informed choice of the most suitable process. Offers in-depth coverage of all catalytic topics of current interest and outlines future challenges and research areas A clear and visual description of all parameters and conditions, enabling the reader to draw conclusions for a particular case Outlines the catalytic processes applicable to energy generation and design of green processes. 9780444538802 print version oai:cds.cern.ch:2318121 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1313395 ebook ebook EBL Catalysis EBL Fuel cells EBL201805 Engineering SzGeCERN BOOK n 201819 201805 21 PUBLIC BOOK DELETED 2317966 SzGeCERN 20210421204928.0 9781119014447 print version 9781119014478 electronic version electronic version oai:cds.cern.ch:2317966 cerncds:BOOK EBL 5333090 eng 621.312134 Greaves, Deborah Wave and tidal energy Newark, NJ John Wiley & Sons 2018 716 p ebook Intro -- Title Page -- Copyright Page -- Contents -- List of Contributors -- Foreword -- Acknowledgements -- Chapter 1 Introduction -- 1.1 Background -- 1.2 History of Wave and Tidal Energy -- 1.3 Unknowns and Challenges Remaining for Wave and Tidal Energy -- 1.3.1 Materials and Manufacture -- 1.3.2 Fluid Dynamics and Hydrodynamics -- 1.3.3 Survivability and Reliability -- 1.3.4 Environmental Resources -- 1.3.5 Devices and Arrays -- 1.3.6 Power Conversion and Control -- 1.3.7 Infrastructure and Grid Connection -- 1.3.8 Marine Operations and Maritime Safety -- 1.3.9 Socio-Economic Implications -- 1.3.10 Marine Planning and Governance, Environmental Impact -- 1.4 Synopsis -- References -- Chapter 2 The Marine Resource -- 2.1 Introduction -- 2.2 The Wave Resource -- 2.2.1 Fundamentals of Linear Wave Theory -- 2.2.2 Random Waves -- 2.2.3 Offshore Wave Resource -- 2.2.4 Nearshore Wave Resource -- 2.3 The Tidal Stream Resource -- 2.3.1 Fundamentals of the Tide -- 2.3.2 Tidal Barrage or Lagoon vs. and Tidal Stream -- 2.3.3 The Tidal Stream Resource -- 2.3.4 Selection of Potential Tidal Stream Sites -- 2.3.5 Implementation of the Numerical Model -- 2.3.6 Case study I: Bristol Channel and Severn Estuary -- 2.3.7 Case Study II: Ria de Ortigueira -- Acknowledgements -- References -- Chapter 3 Wave Energy Technology -- 3.1 Introduction -- 3.2 Fundamentals -- 3.2.1 Simple Wave Theory -- 3.2.2 Wave Energy -- 3.2.3 Wave Power -- 3.2.4 Capture Width -- 3.2.5 Wave Loading -- 3.3 Hydrodynamics of Wave Energy Conversion -- 3.3.1 The Equation of Motion -- 3.3.2 Power Absorption Limits -- 3.4 Classification of Wave Energy Converters -- 3.4.1 Classification with Referencing Configuration -- 3.5 Oscillating Water Columns -- 3.5.1 Operating Principle: Shoreline Device -- 3.5.2 Example Calculation: Shoreline OWC -- 3.5.3 Operating Principle: Floating OWC Device. 3.5.4 Example Calculation: Floating OWC -- 3.6 Overtopping Systems -- 3.7 Oscillating Bodies -- 3.7.1 Operating Principle: Oscillating Device -- 3.7.2 Example Calculation: Oscillating Device -- 3.8 Other Technologies -- 3.9 The Wave Energy Array -- References -- Chapter 4 Tidal Energy Technology -- 4.1 General Introduction -- 4.2 Location of Operation -- 4.3 Environmental Impacts -- 4.4 Tides -- 4.5 Tidal Range Generation -- 4.5.1 Tidal Barrages -- 4.5.2 Tidal Lagoons -- 4.5.3 Other -- 4.6 Tidal Stream -- 4.6.1 Available Resources -- 4.6.2 Turbine Characteristics -- 4.6.3 Cavitation -- 4.6.3.1 Shaft Design -- 4.6.3.2 Whirling of Shafts -- 4.7 Types of Devices -- 4.7.1 The Horizontal-Axis Turbine -- 4.7.2 The Vertical-Axis Tidal Turbine -- 4.8 Oscillating Hydrofoils -- 4.9 Venturi Effect Devices -- 4.10 Other Devices -- 4.11 Computational Fluid Dynamics -- 4.11.1 Finite-Element Analysis and Fluid-Structure Interaction -- 4.11.2 Blade Element Momentum Theory -- 4.12 Security, Installation and Maintenance -- 4.13 Worked Examples -- References -- Chapter 5 Device Design -- 5.1 Standards and Certification in Marine Energy -- 5.1.1 Why are Standards Needed? -- 5.1.2 Wat has been done so far? -- 5.1.3 What is in hand? -- 5.1.4 How is it Organised? -- 5.1.5 Standards-Making -- 5.1.6 Certification Scheme: IECRE -- 5.1.7 Certification Process -- 5.1.7.1 Type Certification -- 5.1.7.2 Project Certification -- 5.2 Reliability -- 5.2.1 System Reliability Assessment -- 5.2.2 Subsystem and Component Reliability -- 5.2.3 Component Failure Rate Modelling and Prediction -- 5.2.4 Component Testing -- 5.3 Moorings and Anchors -- 5.3.1 Overview on Moorings and Anchors -- 5.3.2 Special Mooring Design Needs -- 5.3.3 Mooring Design Simulation and Analysis -- 5.3.4 Materials for Marine Anchoring Systems -- 5.4 Foundations -- 5.4.1 Introduction to Foundation Requirements. 5.4.2 Design Concepts for Sediment-Foundation Interactions -- 5.4.3 Analysis Techniques for Seabed and Foundation Systems -- References -- Chapter 6 Power Systems -- 6.1 Introduction to Power Take-Off Systems -- 6.1.1 Wave Energy PTO Systems -- 6.1.2 Tidal Energy PTO Systems -- 6.1.3. Chapter Outline -- 6.2 Electrical Generators -- 6.2.1 Linear Electrical Generators -- 6.2.2 Rotary Electrical Generators -- 6.3 Turbines for WEC Power Take‐Off -- 6.3.1 General Considerations for WEC Turbines -- 6.3.2 Air-Driven Turbines -- 6.3.2.1 Wells Turbines -- 6.3.2.2 Impulse Turbines -- 6.3.2.3 Performance Comparison -- 6.3.3 Water-Driven Turbines -- 6.3.3.1 Pelton Wheel -- 6.3.3.2 Kaplan Turbine -- 6.3.3.3 Francis Turbine -- 6.3.3.4 Performance Comparison -- 6.4 Hydraulic Power Transmission Systems -- 6.4.1 Introduction: Hydraulic Fluids and Circuits -- 6.4.2 Hydraulic Pumps -- 6.4.2.1 Pump Design -- 6.4.3 Hydraulic Motors -- 6.4.4 Hydrostatic Transmissions -- 6.4.5 Hydraulic Actuators -- 6.5 Hydraulic PTO Designs for WECs -- 6.6 Direct Mechanical Power Take-Off -- 6.7 Control for Maximum Energy Capture -- 6.7.1 Reactive Control -- 6.7.2 Latching Control -- 6.7.3 Specific Hydraulic PTO Studies -- 6.7.3.1 Force Control -- 6.7.3.2 Resistive PTOs -- 6.7.3.3 System Modelling -- 6.8 Electrical Infrastructure and Grid Integration -- 6.8.1 Electrical Infrastructure Components -- 6.8.1.1 Transmission Cable Systems -- 6.8.1.2 Dynamic Umbilical Cable -- 6.8.1.3 Subsea Connectors -- 6.8.1.4 Frequency Converters -- 6.8.1.5 Transformers -- 6.8.1.6 Connection Hubs -- 6.8.2 Offshore Electrical Arrays -- 6.8.2.1 Directly Connected Devices -- 6.8.2.2 Star Cluster Configuration -- 6.8.2.3 Radial Configuration -- 6.8.3 Grid Integration and Power Quality -- 6.8.3.1 Grid Integration -- 6.8.3.2 Power Quality -- 6.9 Summary of Challenges for PTO Design and Development -- References. Chapter 7 Physical Modelling -- 7.1 Introduction -- 7.2 Device Development and Test Planning -- 7.3 Scaling and Similitude -- 7.3.1 Scaling MRE Devices -- 7.3.2 Common Problems Scaling MRE Devices -- 7.4 Model Design and Construction -- 7.4.1 Material Choice and Model Design -- 7.4.2 Power Take-off -- 7.4.2.1 Orifice Plate -- 7.4.2.2 Porous Media -- 7.4.2.3 Capillary Tubes -- 7.4.2.4 Tidal Turbines and Rotating Shaft WEC -- 7.4.2.5 Dampers and Brakes -- 7.4.2.6 Bilge Pumps and Flow Meters -- 7.5 Fixing and Mooring -- 7.5.1 Catenary Mooring -- 7.5.2 Taut Mooring -- 7.5.3 Fixed Guides -- 7.6 Instrumentation -- 7.6.1 Water Surface Elevation -- 7.6.1.1 Resistance Wave Gauge -- 7.6.1.2 Capacitance Wave Gauge -- 7.6.1.3 Others -- 7.6.1.4 Measuring Wave Reflection -- 7.6.1.5 Directional Wave Spectrum Analysis -- 7.6.2 Fluid Velocity -- 7.6.2.1 Pitot-static Tube -- 7.6.2.2 Turbine Flow Meters -- 7.6.2.3 Acoustic Doppler Velocimeters -- 7.6.2.4 Laser Doppler Velociemeters -- 7.6.2.5 Particle Image Velocimetry -- 7.6.2.6 Hot-Wire and Hot-Film Anemometers -- 7.6.3 Pressure and Force Measurements -- 7.6.4 Body Motion -- 7.6.5 Torque -- 7.6.6 Measurement Error and Repeatability -- 7.6.7 Common Problems -- 7.7 Model Calibration -- 7.7.1 Dry Tests -- 7.7.2 Wet Tests -- 7.7.2.1 Static -- 7.7.2.2 Free Oscillation -- 7.7.2.3 Forced Oscillation -- 7.7.3 Calibration of Tidal Turbine Models -- 7.8 Modelling the Environment -- 7.8.1 Regular Waves -- 7.8.2 Irregular Waves -- 7.8.3 Focused Waves -- 7.8.4 Flow -- 7.9 Test Facilities -- 7.9.1 Wave Generation and Absorption -- 7.9.2 Basin and Flume Flow -- 7.9.3 Towing Tanks -- 7.9.4 Blockage Effects -- 7.10 Recommended Tests -- 7.10.1 Standard Tests for Wave Energy -- 7.10.1.1 Series A: Linear Regular Waves -- 7.10.1.2 Series B: Nonlinear Regular Waves -- 7.10.1.3 Series C: Long-crested Irregular Waves. 7.10.1.4 Series D: Spectral Shape -- 7.10.1.5 Series E: Directional Long-crested Waves -- 7.10.1.6 Series F: Short-crested Waves -- 7.10.1.7 Series G: Combined Waves and Ocean Currents -- 7.10.1.8 Series R: Repeatability -- 7.10.2 Survivability Tests for Wave Energy -- 7.10.3 Standard Tests for Tidal Energy -- 7.10.3.1 Performance -- 7.10.3.2 Wave Interactions -- 7.10.3.3 Wake -- 7.10.3.4 Survivability -- References -- Chapter 8 Numerical Modelling -- 8.1 Introduction -- 8.2 Reviewof Hydrodynamics -- 8.2.1 The Primitive Equations of Fluid Mechanics -- 8.2.1.1 Mass Conservation -- 8.2.1.2 Momentum conservation -- 8.2.1.3 Energy Conservation -- 8.2.1.4 Equations of State -- 8.2.2 The Navier-Stokes Equations -- 8.2.3 Modelling of Turbulence -- 8.2.3.1 RANS Equations -- 8.2.3.2 The κ −ϵ Model -- 8.2.3.3 The κ −ω model -- 8.2.3.4 The Reynolds Stress Model -- 8.2.3.5 Large Eddy Simulation -- 8.2.3.6 Direct Numerical Simulation -- 8.2.3.7 Potential Flow -- 8.2.4 Classification of Physical Behaviours -- 8.2.4.1 Elliptic Equations -- 8.2.4.2 Parabolic Equations -- 8.2.4.3 Hyperbolic Equations -- 8.3 Numerical Modelling Techniques -- 8.3.1 Introduction -- 8.3.2 Pre-Processing -- 8.3.2.1 Definition of the Problem -- 8.3.2.2 Boundary and Initial Conditions -- 8.3.3 Discretisation Methods: Solution -- 8.3.3.1 Finite Difference Method -- 8.3.3.2 Finite Volume Method -- 8.3.3.3 Finite Element Method -- 8.3.3.4 Spectral Method -- 8.3.3.5 Boundary Element Method -- 8.3.3.6 Meshless Methods -- 8.3.3.7 Lattice Boltzmann Method -- 8.3.4 Post-Processing -- 8.3.5 Best Practice in Numerical Modelling -- 8.3.5.1 Errors and Uncertainties -- 8.3.5.2 Recommendations and Guidelines -- 8.4 Numerical Modelling of Water Waves -- 8.4.1 Depth-Resolving Models -- 8.4.1.1 CFD/NSE Solvers -- 8.4.1.2 Potential Flow Models -- 8.4.1.3 Hydrostatic Pressure Models. 8.4.2 Depth-Averaged Models. EBL201805 Engineering SzGeCERN BOOK Iglesias, Gregorio https://cds.cern.ch/auth.py?r=EBLIB_P_5333090 ebook n 201819 201805 21 PUBLIC https://catalogue.library.cern/legacy/2317966 BOOK MIGRATED 2317959 SzGeCERN 20210421204929.0 9783527342938 print version 9783527808144 electronic version electronic version oai:cds.cern.ch:2317959 cerncds:BOOK EBL 5329152 eng QD716.P45 .V575 2018 541.395 Ghosh, Srabanti Visible-light-active photocatalysis nanostructured catalyst design, mechanisms and applications Newark, NJ John Wiley & Sons 2018 626 p ebook Cover -- Title Page -- Copyright -- Contents -- Preface -- Part I Visible‐Light Active Photocatalysis - Research and Technological Advancements -- Chapter 1 Research Frontiers in Solar Light Harvesting -- 1.1 Introduction -- 1.2 Visible‐Light‐Driven Photocatalysis for Environmental Protection -- 1.3 Photocatalysis for Water Splitting -- 1.4 Photocatalysis for Organic Transformations -- 1.5 Mechanistic Studies of Visible‐Light‐Active Photocatalysis -- 1.6 Summary -- References -- Chapter 2 Recent Advances on Photocatalysis for Water Detoxification and CO2 Reduction -- 2.1 Introduction -- 2.2 Photocatalysts for Environmental Remediation and CO2 Reduction -- 2.2.1 Undoped TiO2 -- 2.2.2 Undoped Metal Oxides Different from TiO2 -- 2.2.3 Carbon Modified Metal Oxides as Photocatalysts -- 2.2.4 Doped Metal Oxides -- 2.2.5 Perovskites -- 2.2.6 Metal Chalcogenides -- 2.2.7 Other Catalysts -- 2.3 Photoreactors for Solar Degradation of Organic Pollutants and CO2 Reduction -- 2.3.1 Non Concentrating (Low Concentration or Low Temperature) Systems -- 2.3.2 Medium Concentrating or Medium Temperature Systems -- 2.3.3 High Concentrating or High‐Temperature Systems -- 2.3.4 Parameters of a Solar Reactor -- 2.4 Conclusion -- Acknowledgment -- References -- Chapter 3 Fundamentals of Photocatalytic Water Splitting (Hydrogen and Oxygen Evolution) -- 3.1 Introduction -- 3.2 Strategy for Development of Photocatalyst Systems for Water Splitting -- 3.3 Electrochemistry of Semiconductors at the Electrolyte Interface -- 3.4 Effect of Light at the Semiconductor-Electrolyte Interface -- 3.5 Conversion and Storage of Sunlight -- 3.6 Electrolysis and Photoelectrolysis -- 3.7 Development of Photocatalysts for Solar‐Driven Water Splitting -- 3.8 Approaches to Develop Visible‐Light‐Absorbing Metal Oxides -- 3.9 Conclusions -- References. Chapter 4 Photoredox Catalytic Activation of Carbon-Halogen Bonds: C-H Functionalization Reactions under Visible Light -- 4.1 Introduction -- 4.2 Activation of Alkyl Halides -- 4.3 Activation of Aryl Halides -- 4.4 Factors That Determine the Carbon-Halogen Bond Activation of Aryl Halides -- 4.5 Factors That Determine the Yields of the C-H Arylated Products -- 4.6 Achievements and Challenges Ahead -- 4.7 Conclusion -- References -- Part II Design and Developments of Visible Light Active Photocatalysis -- Chapter 5 Black TiO2: The New‐Generation Photocatalyst -- 5.1 Introduction -- 5.2 Designing Black TiO2 Nanostructures -- 5.3 Black TiO2 as Photocatalyst -- 5.4 Conclusions -- References -- Chapter 6 Effect of Modification of TiO2 with Metal Nanoparticles on Its Photocatalytic Properties Studied by Time‐Resolved Microwave Conductivity -- 6.1 Introduction -- 6.2 Deposition of Metal Nanoparticles by Radiolysis and by Photodeposition Method -- 6.3 Electronic Properties Studied Time‐Resolved Microwave Conductivity -- 6.3.1 Surface Modification of Titania with Monometallic Nanoparticles -- 6.3.1.1 Surface Modification of Titania with Pt Clusters -- 6.3.1.2 Surface Modification of TiO2 with Pd Nanoparticles -- 6.3.1.3 Modification of TiO2 with Ag Nanoparticles -- 6.4 Modification of TiO2 with Au Nanoparticles -- 6.5 Modification of TiO2 with Bi Clusters -- 6.6 Surface Modification of TiO2 with Bimetallic Nanoparticles -- 6.6.1 Surface Modification with Au-Cu Nanoparticles -- 6.6.2 Surface Modification with Ag and CuO Nanoparticles -- 6.6.3 Comodification of TiO2 with Ni and Au Nanoparticles for Hydrogen Production -- 6.6.4 TiO2 Modified with NiPd Nanoalloys for Hydrogen Evolution -- 6.7 The Effect of Metal Cluster Deposition Route on Structure and Photocatalytic Activity of Mono‐ and Bimetallic Nanoparticles Supported on TiO2 -- 6.8 Summary -- References. Chapter 7 Glassy Photocatalysts: New Trend in Solar Photocatalysis -- 7.1 Introduction -- 7.2 Fundamentals of H2S Splitting -- 7.2.1 General -- 7.2.2 Thermodynamics of H2S Splitting -- 7.2.3 Role of Photocatalysts -- 7.3 Designing the Assembly for H2S Splitting -- 7.3.1 Standardization of H2S Splitting Setup -- 7.3.2 Interaction of Photocatalyst and Reagent System -- 7.4 Chalcogenide Photocatalysts -- 7.5 Limitations of Powder Photocatalysts -- 7.6 Glassy Photocatalyst: Innovative Approach -- 7.6.1 Semiconductor-Glass Nanocomposites and Their Advantages -- 7.7 General Methods for Glasses Preparation -- 7.7.1 Glass by Melt‐Quench Technique -- 7.8 Color of the Glass - Bandgap Engineering by Growth of Semiconductors in Glass -- 7.9 CdS-Glass Nanocomposite -- 7.10 Bi2S3-Glass Nanocomposite -- 7.11 Ag3PO4-Glass Nanocomposite -- 7.12 Summary -- Acknowledgments -- References -- Chapter 8 Recent Developments in Heterostructure‐Based Catalysts for Water Splitting -- 8.1 Introduction -- 8.1.1 Band Alignment -- 8.2 Visible‐Light‐Responsive Junctions -- 8.2.1 BiVO4‐Based Junctions -- 8.2.1.1 BiVO4/WO3 -- 8.2.1.2 BiVO4/ZnO -- 8.2.1.3 BiVO4/TiO2 -- 8.2.1.4 BiVO4/Carbon‐Based Materials -- 8.2.2 Fe2O3‐Based Junctions -- 8.2.3 WO3‐Based Junctions -- 8.2.4 C3N4‐Based Junctions -- 8.2.5 Cu2O‐Based Junctions -- 8.3 Visible‐Light‐Driven Photocatalyst/OEC Junctions -- 8.3.1 BiVO4/OEC -- 8.3.2 Fe2O3/OEC -- 8.3.3 WO3/OEC -- 8.4 Observation of Charge Carrier Kinetics in Heterojunction Structure -- 8.4.1 Transient Absorption Spectroscopy -- 8.4.2 Electrochemical Impedance Spectroscopy -- 8.4.3 Surface Photovoltage Spectroscopy -- 8.5 Conclusions -- References -- Chapter 9 Conducting Polymers Nanostructures for Solar‐Light Harvesting -- 9.1 Introduction -- 9.2 Conducting Polymers as Organic Semiconductor -- 9.3 Conducting Polymer‐Based Nanostructured Materials. 9.4 Synthesis of Conducting Polymer Nanostructures -- 9.4.1 Hard Templates -- 9.4.2 Soft Templates -- 9.4.3 Template Free -- 9.5 Applications of Conducting Polymer -- 9.5.1 Conducting Polymer Nanostructures for Organic Pollutant Degradation -- 9.5.2 Conducting Polymer Nanostructures for Photocatalytic Water Splitting -- 9.5.3 Conducting Polymer‐Based Heterostructures -- 9.6 Conclusion -- References -- Part III Visible Light Active Photocatalysis for Solar Energy Conversion and Environmental Protection -- Chapter 10 Sensitization of TiO2 by Dyes: A Way to Extend the Range of Photocatalytic Activity of TiO2 to the Visible Region -- 10.1 Introduction -- 10.2 Mechanisms Involved in the Use of Dye‐Modified TiO2 Materials for Transformation of Pollutants and Hydrogen Production under Visible Irradiation -- 10.3 Use of Dye‐Modified TiO2 Materials for Energy Conversion in Dye‐Sensitized Solar Cells -- 10.4 Self‐Sensitized Degradation of Dye Pollutants -- 10.5 Use of Dye‐Modified TiO2 for Visible‐Light‐Assisted Degradation of Colorless Pollutants -- 10.6 Water Splitting and Hydrogen Production using Dye‐Modified TiO2 Photocatalysts under Visible Light -- 10.7 Conclusions -- Acknowledgement -- References -- Chapter 11 Advances in the Development of Novel Photocatalysts for Detoxification -- 11.1 Introduction -- 11.2 Theoretical Studies of Photocatalysis -- 11.2.1 Doping and Surface Modification of TiO2 for Bandgap Engineering -- 11.2.2 Alignment of Valence and Conduction Band Edges with Water Oxidation and Reduction Potentials -- 11.2.3 Electron and Hole Localization -- 11.3 Metal‐Doped Photocatalysts for Detoxification -- 11.3.1 High‐Temperature Stable Anatase TiO2 Photocatalyst -- 11.3.2 Main Group Metal Ions on Anatase Stability and Photocatalytic Activity -- 11.3.3 Effect of Transition Metals on Anatase Stability and Photocatalytic Activity. 11.3.4 Effect of Rare Earth Metal Ions on Anatase Stability and Photocatalytic Activity -- 11.4 Graphene‐TiO2 Composites for Detoxification -- 11.5 Commercial Applications of Photocatalysis in Environmental Detoxification -- 11.5.1 Self‐Cleaning Materials -- 11.5.2 Bactericidal -- 11.5.3 Wastewater Detoxification -- 11.6 Conclusions -- References -- Chapter 12 Metal‐Free Organic Semiconductors for Visible‐Light‐Active Photocatalytic Water Splitting -- 12.1 Introduction -- 12.2 Organic Semiconductors for Photocatalytic Water Splitting and Emergence of Graphitic Carbon Nitrides -- 12.3 Graphitic Carbon Nitrides for Photocatalytic Water Splitting -- 12.3.1 Precursor‐Derived g‐CN -- 12.3.2 Nanoporous g‐CN by Templating Methods -- 12.3.2.1 Hard Templating -- 12.3.2.2 Soft Templating -- 12.3.2.3 Template‐Free -- 12.3.3 Heteroatom Doping -- 12.3.3.1 Metal Doping -- 12.3.3.2 Nonmetal Doping -- 12.3.4 Metal Oxides/g‐CN Nanocomposites -- 12.3.5 Graphene and CNT‐Based g‐CN Nanocomposites -- 12.3.6 Structural Modification with Organic Groups -- 12.3.7 Crystalline Carbon Nitrides -- 12.3.8 Overall Water Splitting and Large‐Scale Hydrogen Production Using Carbon Nitrides -- 12.4 Novel Materials -- 12.4.1 Triazine and Heptazine‐Based Organic Polymers -- 12.4.2 Covalent Organic Frameworks (COFs) and Beyond -- 12.5 Conclusions and Perspectives -- References -- Chapter 13 Solar Photochemical Splitting of Water -- 13.1 Introduction -- 13.2 Photocatalytic Water Splitting -- 13.2.1 Fundamentals of Water Splitting -- 13.2.2 Light‐Harvesting Units -- 13.2.3 Photocatalytic Activity -- 13.2.4 Effect of Size of Nanostructures -- 13.3 Overall Water Splitting -- 13.3.1 One‐Step Photocatalytic Process -- 13.3.2 Two‐Step (Z‐Scheme) Photocatalytic Process -- 13.4 Oxidation of Water -- 13.5 Reduction of Water -- 13.5.1 C3N4 and Related Materials -- 13.5.2 Semiconductors. 13.5.3 Multicomponent Heterostructures. EBL201805 Chemical Physics and Chemistry SzGeCERN EBL Catalysts EBL Photocatalysis BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5329152 ebook n 201819 201805 21 PUBLIC https://catalogue.library.cern/legacy/2317959 BOOK MIGRATED 2317931 SzGeCERN 20180612223810.0 9781351679718 (electronic bk.) electronic version 9781138054929 electronic version EBL 5323558 eng QC242.2 .E884 2018 534/.23015118 Etter, Paul C Underwater acoustic modeling and simulation 5th ed. Milton Chapman and Hall/CRC 2018 639 p Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Preface to the Fourth Edition -- Preface to the Third Edition -- Preface to the Second Edition -- Preface to the First Edition -- Acknowledgments -- Author -- Chapter 1: Introduction -- 1.1 Background -- 1.1.1 Setting -- 1.1.2 Framework -- 1.2 Measurements and Prediction -- 1.3 Developments in Modeling -- 1.4 Advances in Simulation -- 1.5 Operational Challenges -- 1.5.1 Naval Operations -- 1.5.2 Offshore Industries -- 1.5.3 Operational Oceanography -- 1.6 Inverse Acoustic Sensing of the Oceans -- 1.7 Standard Definitions -- 1.8 Historical Growth Curves -- Chapter 2: Acoustical Oceanography -- 2.1 Background -- 2.2 Physical and Chemical Properties -- 2.2.1 Temperature Distribution -- 2.2.2 Salinity Distribution -- 2.2.3 Water Masses -- 2.3 Sound Speed -- 2.3.1 Calculation and Measurements -- 2.3.2 Sound Speed Distribution -- 2.4 Boundaries -- 2.4.1 Sea Surface -- 2.4.2 Ice Cover -- 2.4.3 Sea Floor -- 2.5 Dynamic Features -- 2.5.1 Large-Scale Features -- 2.5.2 Mesoscale Features -- 2.5.2.1 Fronts and Eddies -- 2.5.2.2 Internal Waves -- 2.5.3 Fine-Scale Features -- 2.5.3.1 Thermohaline Staircases -- 2.5.3.2 Langmuir Circulation -- 2.6 Biologics -- Chapter 3: Propagation I: Observations and Physical Models -- 3.1 Background -- 3.2 Nature of Measurements -- 3.3 Basic Concepts -- 3.4 Sea-Surface Boundary -- 3.4.1 Forward Scattering and Reflection Loss -- 3.4.2 Image Interference and Frequency Effects -- 3.4.3 Turbidity and Bubbles -- 3.4.3.1 Open Ocean -- 3.4.3.2 Coastal Ocean -- 3.4.4 Ice Interaction -- 3.4.5 Measurements -- 3.5 Sea-Floor Boundary -- 3.5.1 Forward Scattering and Reflection Loss -- 3.5.1.1 Acoustic Interaction with the Sea Floor -- 3.5.1.2 Boundary Conditions and Modeling -- 3.5.1.3 Geoacoustic Models -- 3.5.2 Interference and Frequency Effects. 3.5.3 Attenuation by Sediments -- 3.5.4 Measurements -- 3.6 Attenuation and Absorption in Sea Water -- 3.7 Surface Ducts -- 3.7.1 Mixed-Layer Distribution -- 3.7.2 General Propagation Features -- 3.7.3 Low-Frequency Cutoff -- 3.8 Deep Sound Channel -- 3.9 Convergence Zones -- 3.10 Reliable Acoustic Path -- 3.11 Shallow-Water Ducts -- 3.12 Arctic Half-Channel -- 3.13 Coherence -- Chapter 4: Propagation II: Mathematical Models -- 4.1 Background -- 4.2 Theoretical Basis for Propagation Modeling -- 4.2.1 Wave Equation -- 4.2.2 Classification of Modeling Techniques -- 4.3 Ray-Theory Models -- 4.3.1 Basic Theory -- 4.3.2 Caustics -- 4.3.3 Gaussian Beam Tracing -- 4.3.4 Range Dependence -- 4.3.5 Arrival Structure -- 4.3.6 Beam Displacement -- 4.3.7 Waveguide Invariant -- 4.3.8 Energy-Flux Models -- 4.3.9 Advanced Algorithms -- 4.4 Normal-Mode Models -- 4.4.1 Basic Theory -- 4.4.2 Normal-Mode Solution -- 4.4.3 Dispersion Effects -- 4.4.4 Experimental Measurements -- 4.4.5 Range Dependence -- 4.4.6 High-Frequency Adaptations -- 4.4.7 Wedge Modes -- 4.5 Multipath Expansion Models -- 4.6 Fast-Field Models -- 4.7 Parabolic Equation Models -- 4.7.1 Basic Theory -- 4.7.2 Numerical Techniques -- 4.7.3 Wide-Angle and 3D Adaptations -- 4.7.4 Range-Refraction Corrections -- 4.7.5 High-Frequency Adaptations -- 4.7.6 Time-Domain Applications -- 4.8 Raymode Model—A Specific Example -- 4.9 Numerical Model Summaries -- Chapter 5: Propagation II: Mathematical Models -- 5.1 Background -- 5.2 Surface Duct Models -- 5.2.1 Ray-Theory Models -- 5.2.2 Wave-Theory Models -- 5.2.3 Oceanographic Mixed-Layer Models -- 5.3 Shallow-Water Duct Models -- 5.3.1 Shallow-Water Propagation Characteristics -- 5.3.2 Optimum Frequency of Propagation -- 5.3.3 Numerical Models -- 5.3.3.1 Upslope Propagation -- 5.3.3.2 Downslope Propagation -- 5.3.4 Empirical Models -- 5.3.4.1 Rogers Model. 5.3.4.2 Marsh-Schulkin Model -- 5.3.5 Field Experiments -- 5.3.5.1 Swat Experiments in the South China Sea -- 5.3.5.2 Swarm Experiment in the Atlantic Ocean -- 5.3.5.3 Littoral Acoustic Demonstration Center -- 5.3.5.4 Shallow Water ’06 -- 5.4 Arctic Models -- 5.4.1 Arctic Environmental Models -- 5.4.2 Arctic Propagation Models -- 5.4.3 Numerical Models -- 5.4.4 Empirical Models -- 5.4.4.1 Marsh-Mellen Model -- 5.4.4.2 Buck Model -- 5.4.5 Field Experiments -- 5.5 Data Support Requirements -- 5.5.1 Sound-Speed Profile Synthesis -- 5.5.1.1 Segmented Constant Gradient -- 5.5.1.2 Curvilinear or Continuous Gradient -- 5.5.2 Earth Curvature Corrections -- 5.5.3 Merging Techniques -- 5.6 Cellular Automata -- Chapter 6: Special Applications and Inverse Techniques -- 6.1 Background -- 6.2 Stochastic Modeling -- 6.3 Broadband Modeling -- 6.4 Matched Field Processing -- 6.5 Transmutation Approaches -- 6.6 Nonlinear Acoustics and Chaos -- 6.7 Three-Dimensional Modeling -- 6.8 Ocean Fronts, Eddies, and Internal Waves -- 6.8.1 Fronts and Eddies -- 6.8.2 Internal Waves -- 6.9 Coupled Ocean-Acoustic Modeling -- 6.10 Acoustic Tomography -- 6.11 Phase Conjugation and Time-Reversal Mirrors -- 6.12 Deductive Geoacoustic Inversion -- 6.12.1 Navigating Parameter Landscapes -- 6.12.2 Tabu Search -- 6.13 Prediction Uncertainties in Complex Environments -- 6.14 Rapid Environmental Assessments -- 6.15 Underwater Acoustic Networks and Vehicles -- 6.15.1 Channel Models -- 6.15.1.1 Channel Structure -- 6.15.1.2 Network Structure -- 6.15.1.3 Channel Emulators and Network Simulators -- 6.15.1.4 Network Performance and Optimization -- 6.15.1.5 Underwater Communications -- 6.15.1.6 Medium Access Control -- 6.15.1.7 Data Delivery Schemes -- 6.15.2 Localization Methods -- 6.15.2.1 Range-Based Schemes -- 6.15.2.2 Range-Free Schemes -- 6.15.3 Vehicles -- 6.16 Marine Mammal Protection. 6.16.1 Regulatory Initiatives and Measurement Programs -- 6.16.2 Rising Levels of Underwater Noise -- 6.16.2.1 Increased Shipping Levels -- 6.16.2.2 Ocean Acidification -- 6.16.2.3 Marine-Hydrokinetic Energy Devices -- 6.16.2.4 Wind-Turbine Noise -- 6.16.2.5 Pile-Driving Noise -- 6.16.2.6 Wave-Energy Device Noise -- 6.16.2.7 Tidal-Turbine Noise -- 6.16.2.8 Noise-Reduction Methods -- 6.16.2.9 Passive Acoustic Monitoring -- 6.16.3 Seismic Operations and Protection of Whales -- 6.16.4 Modeling Efforts -- 6.16.4.1 Acoustic Integration Model -- 6.16.4.2 Effects of Sound on the Marine Environment -- 6.16.4.3 Marine Mammal Movement Models -- 6.16.4.4 Collision Avoidance -- 6.16.5 ASW Training Ranges and Mitigation Techniques -- 6.16.5.1 Environmentally Adaptive Sonars -- 6.16.5.2 Frequency Diversity -- 6.17 Through-the-Sensor Parameter Estimation -- 6.18 Seismo-Acoustic Inversion -- 6.19 Seismic Oceanography -- Chapter 7: Noise I: Observations and Physical Models -- 7.1 Background -- 7.2 Noise Sources and Spectra -- 7.2.1 Seismo-Acoustic Noise -- 7.2.2 Shipping Noise -- 7.2.3 Bioacoustic Noise -- 7.2.4 Wind and Rain Noise -- 7.3 Depth Dependence -- 7.4 Directionality -- 7.5 Surf Noise -- 7.6 Arctic Ambient Noise -- 7.7 Acoustic Daylight -- 7.8 Geoacoustic Inversion -- 7.9 Acoustic Rain Gauges -- Chapter 8: Noise II: Mathematical Models -- 8.1 Background -- 8.2 Theoretical Basis for Noise Modeling -- 8.3 Ambient-Noise Models -- 8.4 Randi Model—A Specific Example -- 8.4.1 Transmission Loss -- 8.4.2 Noise Sources and Spectra -- 8.4.3 Directionality -- 8.4.4 Recent Developments -- 8.5 The Noise Notch -- 8.6 Beam-Noise Statistics Models -- 8.7 Data Support Requirements -- 8.8 Numerical Model Summaries -- Chapter 9: Reverberation I: Observations and Physical Models -- 9.1 Background -- 9.2 Volume Reverberation -- 9.2.1 Deep Scattering Layer. 9.2.2 Column or Integrated Scattering Strength -- 9.2.3 Vertical-Scattering Plumes -- 9.3 Boundary Reverberation -- 9.3.1 Sea-Surface Reverberation -- 9.3.2 Under-Ice Reverberation -- 9.3.3 Sea-Floor Reverberation -- 9.4 Inversion Techniques -- Chapter 10: Reverberation II: Mathematical Models -- 10.1 Background -- 10.2 Theoretical Basis for Reverberation Modeling -- 10.2.1 Basic Approaches -- 10.2.2 Advanced Developments -- 10.3 Cell-Scattering Models -- 10.3.1 Volume-Reverberation Theory -- 10.3.2 Boundary-Reverberation Theory -- 10.4 REVMOD Model—A Specific Example -- 10.5 Bistatic Reverberation -- 10.5.1 Computational Considerations -- 10.5.2 Bistatic Acoustic Model—A Specific Example -- 10.6 Point-Scattering Models -- 10.6.1 Computational Considerations -- 10.6.2 Under-Ice Reverberation Simulation Model—A Specific Example -- 10.7 Numerical Model Summaries -- Chapter 11: Sonar Performance Models -- 11.1 Background -- 11.2 Sonar Equations -- 11.2.1 Monostatic Sonars -- 11.2.2 Bistatic Sonars -- 11.2.3 Multistatic Sonars -- 11.3 NISSM Model—A Specific Example -- 11.3.1 Propagation -- 11.3.2 Reverberation -- 11.3.3 Target Echo -- 11.3.4 Noise -- 11.3.5 Signal-to-Noise Ratio -- 11.3.6 Probability of Detection -- 11.3.7 Model Outputs -- 11.4 Model Operating Systems -- 11.4.1 System Architecture -- 11.4.2 Sonar Modeling Functions -- 11.4.3 System Usage -- 11.4.4 Generic Sonar Model—A Specific Example -- 11.4.5 Comprehensive Acoustic System Simulation—A Specific Example -- 11.5 Advanced Signal Processing Issues -- 11.5.1 Background -- 11.5.2 Adjoint Methods -- 11.5.3 Stochastic Resonance -- 11.5.4 Pulse Propagation -- 11.5.5 Multiple-Input/Multiple-Output -- 11.5.6 Clutter Environments -- 11.5.7 Vectors and Clusters -- 11.5.7.1 Replica Vectors -- 11.5.7.2 Ray Clusters -- 11.5.8 High-Frequency Acoustics -- 11.6 Data Sources and Availability. 11.7 Numerical Model Summaries. 9781138054929 print version oai:cds.cern.ch:2317931 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5323558 ebook ebook EBL201805 Other Fields of Physics SzGeCERN BOOK n 201819 201805 21 PUBLIC BOOK DELETED 2317895 SzGeCERN 20210421204938.0 9781138052956 print version 9781351682886 electronic version electronic version oai:cds.cern.ch:2317895 cerncds:BOOK EBL 5320035 eng TK5105.8857 .T476 2018 658.478 Termanini, Rocky The nano age of digital immunity infrastructure fundamentals and applications the intelligent cyber shield for smart cities Milton Chapman and Hall/CRC 2018 511 p ebook Cover -- Half Title -- Title -- Copyright -- Contents -- Preface -- Acknowledgments -- Chapter 1: The Rise of the Smart City -- Overpopulation Misery -- Historic Smart Cities -- The Democracy of Technology -- Disruptive Technology -- The Rise of Nanotechnology and Artificial Intelligence -- Back to the Smart City -- The Need for Operations Research and Urban Informatics -- The Bumpy Road to the Smart City -- Shopping for a Smart City Simulator -- The New Science of Cities: Urban Informatics -- Reality Drivers of the Smart City -- Introducing Smart City Value Chain -- Bibliography -- Chapter 2: Challenges of the Smart City -- Anatomy of the Challenge -- The Four Challenges of Smart Cities -- First: The Human Challenge -- Smart Cities and Eradication of Poverty -- Second: The Technological Challenge -- Smart Cities and Eradication of Cybercrime -- Internet’s Compatibility Iceberg -- The Aging Antivirus Technologies -- Cybersecurity, the Technological Divide -- Digital Immunity: The New Miraculous Paradigm -- Recipe for Digital Immunity -- We Call It Digital Immunity -- Third: The Environmental Challenge -- Fourth: The Urban Commons Challenge -- All Cities Are Smart, Not Dumb Cities -- Vendors Interoperability Challenge -- The Kurzweil Future Vision -- The UN Appeal for the Smart City -- The Himalayas K2 Challenge -- Quality of Life -- Urbanization Is a Blessing or Curse -- Bibliography -- Book References -- Chapter 3: Critical Success Factors of Smart Cities -- The Atlantis Story -- Anatomy of the Smart City -- Microsoft’s Zero-Day Cavity -- Why Do We Need Critical Success Factors? -- Criticality and Infrastructure Relationship -- Criticality of Reinforced Column -- WTC’s Achilles Heel -- Failure of Imagination -- Heat Won, Steel Lost -- What Is Systems Science? -- Basic Definition of CSF -- The Power Grid Is City’s Holy Grail. A Smart City Needs a Digital Cockpit -- The Generalized Uncertainty Principle -- The CSF and KPI, the Twin Brothers -- Smart Cities Are Made of Interdependent Structures -- Critical Success Factors Value Chain -- Matching Smart City Critical Issues with Best Solutions -- Bibliography -- Chapter 4: The Flat Tire of Antivirus Technologies -- The Sun Goes Down -- The Hardware Acceleration -- The Legacy Era -- Catch Me if You Can -- Quality of Life in the Smart City -- AVT Meets the City’s Smart Grid -- The Age of AI and Nano -- Endpoint Protection Evaluation I -- More AVT Flat Tire Stories -- Smart Grids Need Smart Solutions -- Endpoint Protection Evaluation II -- Breaches Everywhere -- Merger & Acquisition Technology -- Breaching Cases -- Recommendation -- AVT Cannot Catch Hackers -- Hacking Psychological Profiling -- The Nano Cybercriminal -- Auditing the Hacker’s Mind -- Digital Immunity: The Holy Grail -- Theory of Reasoned Action -- Wrong Crystal Ballers -- Digital Immunity, the Holy Grail of Cybersecurity -- AVT Software Is the Hijacker! -- Final Analysis -- Bibliography -- Chapter 5: DDoS Malware: The Curse of Virus Rain™ -- Introduction -- The Virus Rain™ -- Queuing Theory Is Future Visioning -- DDoS Attack Forecast and Mitigation Mathematical Performance Equations -- Basic Queuing Theory Formulas -- M/D/1 Case (Random Arrival, Deterministic Service, and One Server) -- M/M/1 Case (Random Arrival, Random Service, and One Server) -- M/M/C Case (Markovian, Random Service, and C Servers) -- The Famous Little Law -- Conquest against the DDoS Regime -- DDoS Codification and Cataloguing -- The Five Protocols of a DoS Attack -- DDoS Needs Planning and Knowledge -- Organized Crime in Cyberspace -- DDoS Arsenal -- Hacker and Data Guardians -- Chapter 6: The Three Generations of DDoS -- Kurzweil’s Accelerating Intelligence. The Three Generations of DDoS -- Evolution and Generation of DDoS -- The Law of Accelerating Returns -- First-Generation G1 DDoS: Internet Vandalism -- The Second-Generation G2 DDoS -- The Dawn of G2 DDoS Attacks -- Smart City Fight against G2 DDoS -- List of Intelligent Assaults -- Third-Generation G3 DDoS -- Getting Ready for the Big Malware Attacks -- Satellite Terrorism -- The House of Cards -- Electromagnetic Pulse Attack -- Washington Doesn’t Understand the Internet -- The Second-Generation Digital Native -- Chapter 7: Software Cyborgs of Tomorrow -- Shaking Hands with Cybernetics -- What Is a Soft Cyborg? -- Description of the Anatomy of the Soft Cyborg: Nanobot -- The Soft Cyborg: Nanobot, Continued -- Soft Cyborg Knowledge Engines -- Soft Cyborg Satellite and Web Communication -- Soft Cyborg Satellite and Web Communication -- Components of the Satellite Infrastructures -- Summary of the Internet/Satellite Transactional Services and Messages -- Future Cyber Warfare -- Nanobot Is the Rosetta Stone -- Nanotechnology in Medicine -- Scenario of Soft Cyborg Attack on Beirut, Lebanon -- Chapter 8: The Amazing Architecture of the Human Immune System -- Introduction -- The Anatomy of the Futuristic Human Body -- Inside the Human Machine -- The 12 Biological Autonomic Systems -- 1. The Circulatory System -- 2. The Digestive System -- 3. The Endocrine System -- 4. The Immune System -- Anatomy of the Biological Nanobots -- 5. The Lymphatic System -- 6. The Nervous System -- 7. The Muscular System -- 8. The Reproductive System -- 9. The Skeletal System -- 10. The Respiratory System -- 11. The Urinary System -- 12. The Skin -- The Vital Organs of Survival -- The Miraculous Brain -- Types of Nanobots -- Uploading the Brain to a Computer -- The Superintelligent Human -- The Concept of Singularity. 1. Technologies to Support Smart Cities and Their Infrastructure -- 2. Technologies That Will Promote Human Superintelligence for Smart City Citizens -- 3. Technologies That Support the Quality of Life of Citizens in Smart Cities -- Smart City Quality of Life (QOL) Indicators -- The Magic of Superintelligent Digital Immunity -- Chapter 9: The Miraculous Anatomy of the Digital Immune System -- Introduction -- Smart Cities Are Like the Human Body -- CEWPS Is the Electronic Shield of the Smart City -- The 3D Nano Attack Scenario -- Anatomy of CEWPS and Its Intelligent Components -- Anatomical Composition of Digital Immunity (DI) -- CEWPS Component 1: The Central Coordination Center (CCC) -- CEWPS Component 2: The Knowledge Acquisition Component -- What Is Experience? -- What Is Knowledge? -- The Six Stages of a Cybercrime Episode -- Cybercrime Raw Data Distillation Process -- CEWPS Component 3: The Reasoning Engine -- What Is Causality? -- What Is Prediction? -- We Can Forecast Weather—Why Can’t We Predict Crime? -- Anatomy of the Causality Reasoning Engine -- CEWPS Component 4: Reverse Engineering Center -- CEWPS Component 5: Smart City Critical Infrastructure (SCCI) -- What Is Criticality? -- What Is a Critical Infrastructure? -- CEWPS Component 6: The Smart Vaccine Center (SVC) -- CEWPS Component 7: The VaKB -- CEWPS Component 8: The ViKB -- CEWPS Component 9: CEWPS Smart Nanogrid -- The Smart Grid Model -- Connectivity of Critical Systems to City’s Smart Nanogrid -- Anatomy of the Autonomic Adapter -- The Smart City Is Idealistic Hype -- CEWPS MD -- Chapter 10: Unique Features in Digital Immunity Infrastructure -- Introduction -- Symbiotic Relation between Science and Technology -- Building Blocks of Digital Immunity Infrastructure -- Technology 1: Human Intelligence (The Thinking Machine) -- Technology 2: Nanotechnology: SVN. Sequence of Battle between Soft Cyborgs and SVN -- Internet of Nano Things -- Category 1: The Home Area Nano Network (HANN) -- Category 2: HealthCare Wearable Nanodevice Network (H2M) -- Category 3: Machine-to-Machine (M2M) -- Technology 3: Artificial Intelligence, the Ultra-Intelligent Machine -- Building the Digital Immunity (DI) Infrastructure -- Anatomy of Digital Immunity (DI)’s Main Components -- The Amazing Reality of the Nanobot -- Chapter 11: The Ingenious Engineering of the Smart Grid -- Introduction -- A Brief History of the Grid -- It All Started with the Power Grid -- Anatomy of the Human Grid -- Our New Smart Nanogrids -- The Grid Magnified Million Times -- Modern Nano Warfare in a Smart City -- Scenario 1: Attackers Penetrate the City Grid, but Cannot Reach the Targets -- Scenario 2: Attackers Penetrate the City Grid and Are Ready to Compromise the Targets -- Scenario 3: Attackers Are Going After the City’s Power Grid -- Internet of NanoThings (IoNT) Connectivity -- Scenario 4: Attackers Are Going After the City’s Partial Power Grid -- The IoT Autonomic Adapter -- Organizational Chart of the Smart Vaccine Nano Army -- A Real-Time Screen of the CEWPS during an Attack -- Chapter 12: Defense Strategies of Smart Cities: Smart Defense by Smart Offense -- History of Defense -- Department of Homeland Risk Lexicon -- The Need for Numerical Metrics -- Risk Computation -- The Rise of the Nano Machine: AI, the Future of Cybersecurity -- Kurzweil’s Singularity as Transcendence -- AVT, the Achilles of Cybersecurity -- Postulates of Digital Immunity Infrastructure (DI) -- The Rationale of Defense by Offense -- Structure of the Smart Nanogrid -- Deployment Strategy of Smart City Nano Defense -- How to Build the Nano Smart Grid -- Blueprint of the Design of Digital Immunity Infrastructure -- Why Do We Need a Blueprint for Defense Strategy?. Building a Robust Nano Defense for a Smart City. EBL201805 Computing and Computers SzGeCERN EBL Cities and towns-Protection EBL Cities and towns-Technological innovations EBL Internet of things-Security measures BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5320035 ebook n 201819 201805 21 PUBLIC https://catalogue.library.cern/legacy/2317895 BOOK MIGRATED 2317892 SzGeCERN 20210421204938.0 9781440857027 print version 9781440857034 electronic version electronic version oai:cds.cern.ch:2317892 cerncds:BOOK EBL 5317833 eng Z678 .S534 2018 025.1974 Shaffer, Gary L Creating the sustainable public library Santa Barbara, CA ABC-CLIO 2018 199 p ebook Cover -- Title Page -- Copyright -- Dedication -- Contents -- Author’s Note -- Preface -- Acknowledgments -- 1. What Is Triple Bottom Line (TBL)? -- 2. Economic Sustainability -- 3. Environmental Sustainability -- 4. Social (External) -- 5. Social (Internal) -- 6. Triple Bottom Line (TBL): Bringing It All Together -- Appendix 1. Selected Case Studies -- Appendix 2. The Leadership in Environmental and Energy Design (LEED) Framework -- Appendix 3. Fair Labor Association (FLA) Workplace Code of Conduct -- Appendix 4. The Global Reporting Initiative© (GRI) Framework -- Appendix 5. The U.S. Department of Commerce National Institute of Standards and Technology Malcolm Baldrige Award Excellence Framework -- Index. EBL201805 Information Transfer and Management SzGeCERN EBL Public libraries-Administration EBL Public libraries-Planning EBL Public libraries-United States-Administration BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5317833 ebook n 201819 201805 21 PUBLIC https://catalogue.library.cern/legacy/2317892 BOOK MIGRATED 2317880 SzGeCERN 20210421204940.0 9781119459941 print version 9781119459989 electronic version electronic version oai:cds.cern.ch:2317880 cerncds:BOOK EBL 5313434 eng QD506 .A383 2018 541.33 Mittal, K L Advances in contact angle, wettablility and adhesion Newark, NJ John Wiley & Sons 2018 428 p ebook Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Part 1 Contact Angle Measurement and Analysis -- 1 A More Appropriate Procedure to Measure and Analyse Contact Angles/Drop Shape Behaviours -- 1.1 Introduction -- 1.1.1 Brief Summary of the History of “Modern” Wetting -- 1.1.2 Vexing Question in Wettability -- 1.1.3 Background -- 1.1.3.1 Force Balance and Roughness -- 1.1.3.2 Selected Theoretical Aspects -- 1.1.3.3 Contact Angle Analysis and Hysteresis -- 1.2 Experimental -- 1.3 Obtaining “Continuous” Drop Shapes and Independent Contact Angles -- 1.3.1 HPDSA: Image Transformation -- 1.3.2 HPDSA: Contact Angle Determination -- 1.3.3 HPDSA: Triple Point Determination -- 1.3.4 HPDSA Software -- 1.3.4.1 Baseline Determination -- 1.3.4.2 Image Transformation -- 1.3.4.3 Fitting Procedure and Convergence -- 1.4 Different Contact Angles Analyses -- 1.4.1 Possible Static Analysis -- 1.4.2 Overall Contact Angle Analysis -- 1.4.2.1 Example: Inclined Plane -- 1.4.2.2 Example: Horizontal Plane with Immersed Needle -- 1.4.3 Statistical Event Analysis: Velocity and Statistical Event Definition -- 1.4.4 Statistical Event Analysis: Independent/Global Contact Angle Analysis -- 1.4.5 Statistical Event Analysis: Dependent/Individual Contact Angle Analysis -- 1.4.6 Statistical Event Analysis: Example Demonstration of Analysis Procedures -- 1.5 Summary/Outlook -- 1.5.1 Summary – Contact Angles Determination and Analyses -- 1.5.2 Outlook – Drop Shape Behaviour -- Acknowledgements -- Glossary of Symbols -- Copyrights -- References -- 2 Optical Contact Angle Measurement Considering Spreading, Evaporation and Reactive Substrate -- 2.1 Introduction -- 2.2 Experimental Setup for Contact Angle Measurement -- 2.2.1 Ideal Drop Spreading -- 2.2.2 Role of Environmental Condition -- 2.2.3 Ideal Environmental (Saturated Vapor) Condition. 2.2.4 Reactive System Condition -- 2.3 Summary -- 2.4 Supplementary Media Material -- Acknowledgement -- References -- 3 Method Development for Measuring Contact Angles of Perfluoropolyether Liquid on Fomblin HC/25® PFPE Film -- 3.1 Introduction -- 3.2 Experimental -- 3.2.1 Method Used -- 3.2.2 Determination of Surface Free Energy (SFE) -- 3.2.3 Contact Angles Measurements of PFPE Drop on PFPE “Liquid Film” (PFPEd/PFPEf) -- 3.2.4 Statistical Analyses -- 3.3 Results and Discussion -- 3.3.1 Surface Free Energy (SFE) Characterization of PermaFoam -- 3.3.2 Surface Free Energy Characterization of PFPE “Liquid Film” -- 3.4 Summary -- Acknowledgements -- References -- 4 Characterizing the Physicochemical Processes at the Interface through Evolution of the Axisymmetric Droplet Shape Parameters -- 4.1 Introduction -- 4.2 The Relationships between the Contact Angle and the Thermodynamic and Geometric Characteristics of the Surface -- 4.3 Experimental Methods for Determination of the Contact Angle and the Surface Tension for a Sessile Droplet on the Surface -- 4.4 Determination of the Wetting Tension and the Wetted Area Fraction on the Basis of Temporal Evolution of Contact Angle and Surface Tension in Sessile Drop Method -- 4.5 Testing the Mechanical Durability of Superhydrophobic Coatings -- 4.6 Summary -- References -- 5 The Interfacial Modulus of a Solid Surface and the Young’s Equilibrium Contact Angle Using Line Energy -- 5.1 Introduction -- 5.2 The Young Equation Obtained with a Three-Dimensional Description -- 5.3 Incorporating the Contact Line into the Young Equation -- 5.4 Finding the Young Thermodynamic Contact Angle from Advancing/Receding Data -- 5.5 Interfacial Modulus Gs Associated with the Solid Surface -- 5.6 Summary -- References -- Part 2 Wettability Behavior. 6 Patterned Functionalization of Textiles Using UV-Based Techniques for Surface Modification – Patterned Wetting Behavior -- 6.1 Introduction -- 6.2 UV-Based Processes for Surface Modification -- 6.2.1 Modifying the Surface Chemistry by Photo-Grafting -- 6.2.2 Laser-Induced Roughening of Fiber Surfaces -- 6.3 Experimental -- 6.4 Results -- 6.4.1 Lateral Wetting Patterns -- 6.4.2 Selective Wetting on Inner and Outer Surfaces -- 6.5 Summary and Outlook -- References -- 7 Wettability Behavior of Oleophilic and Oleophobic Nanorough Surfaces in Air or Immersed in Water -- 7.1 Introduction -- 7.2 Sample Preparation -- 7.3 Characterization Methods -- 7.3.1 Roughness -- 7.3.2 Wetting -- 7.4 Surface Roughness of Al2O3 Coatings -- 7.5 Wetting Behavior of Al2O3 Coatings -- 7.5.1 Air as Fluid Phase -- 7.5.2 Water as Fluid Phase -- 7.6 Wetting Behavior of Al2O3 Coatings Overcoated with a Thin Top Layer -- 7.6.1 Air as Fluid Phase -- 7.6.2 Water as Fluid Phase -- 7.7 Summary -- Acknowledgements -- References -- 8 Effect of Particle Loading and Stability on the Wetting Behavior of Nanofluids -- 8.1 Introduction -- 8.2 Review on Wetting Behavior and Stability of Nanofluids -- 8.3 Summary -- References -- 9 Dielectrowetting for Digital Microfluidics -- 9.1 Introduction -- 9.2 Electrowetting on Dielectric (EWOD) -- 9.3 Liquid-Dielectrophoresis (L-DEP) -- 9.4 L-DEP in Microfluidics -- 9.5 Dielectrowetting -- 9.6 Droplet Manipulations by Dielectrowetting -- 9.6.1 Experimental Setup -- 9.6.2 Droplet Splitting and Transporting -- 9.6.3 Multi-Splitting and Merging of Droplets -- 9.6.4 Droplet Creating -- 9.6.5 Manipulations of Aqueous Droplets -- 9.7 Concluding Remarks and Outlook -- References -- Part 3 Superhydrophobic Surfaces -- 10 Development of a Superhydrophobic/ Superhydrophilic Hybrid Surface by Selective Micropatterning and Electron Beam Irradiation. 10.1 Introduction -- 10.2 Selective Micropatterning Using Ultrasonic Imprinting -- 10.2.1 Ultrasonic Imprinting for Micropattern Replication -- 10.2.2 Selective Ultrasonic Imprinting Using a Profiled Mask Film -- 10.2.3 Fabrication of a Micropatterned Mold -- 10.2.4 Selective Ultrasonic Imprinting for Development of Hydrophobic Micropatterns -- 10.3 Selective Wettability Control -- 10.3.1 Selective Surface Treatments -- 10.3.2 Surface Hydrophobization Using Selective Hydrophobic Silane Coating -- 10.3.3 Surface Hydrophilization Using Electron Beam Irradiation -- 10.4 Development of Hybrid Surfaces with Versatile Wettability -- 10.4.1 Investigation of Selectively Wettable Characteristics -- 10.4.2 Water Collection by the Developed Hybrid Surface -- 10.4.3 Hybrid Surface with a Combination of Three Surface Treatments -- 10.5 Summary -- Acknowledgements -- References -- 11 Hydrophobicity and Superhydrophobicity in Fouling Prevention in Sea Environment -- 11.1 Introduction -- 11.1.1 Marine Biofouling -- 11.1.1.1 Biofouling and Inorganic Fouling -- 11.1.1.2 Colonization -- 11.1.1.3 Inorganic Fouling -- 11.1.2 Surface Features and Bioadhesion -- 11.2 Antifouling Options -- 11.3 Problem Statement -- 11.4 Coatings with Special Wettability and Performance Against Biofouling -- 11.4.1 Silane-Based Coatings -- 11.4.1.1 Hydrophobic Behaviour -- 11.4.1.2 Superhydrophobic Behaviour -- 11.4.2 Other Materials -- 11.4.2.1 Hydrophobic Behaviour -- 11.4.2.2 Superhydrophobic Behaviour -- 11.5 General Discussion -- 11.6 Summary -- References -- 12 Superhydrophobic Surfaces for Anti-Corrosion of Aluminum -- 12.1 Introduction -- 12.1.1 Corrosion of Metallic Materials -- 12.1.2 Surface Treatment for Anti-Corrosion of Metals -- 12.1.3 Anti-Corrosion of a Superhydrophobic Surface on Aluminum and Its Alloys -- 12.2 Fundamentals of Superhydrophobic Surface for Anti-Corrosion. 12.2.1 Electrochemical Reactions -- 12.2.2 Wetting on Solid Surfaces -- 12.2.3 Superhydrophobic Surface for Anti-Corrosion -- 12.3 Applications of Superhydrophobized Aluminum Surfaces for Anti-corrosion -- 12.4 Summary -- References -- Part 4 Wettability, Surface Free Energy and Adhesion -- 13 Determination of the Surface Free Energy of Solid Surfaces: Statistical Considerations -- 13.1 Introduction -- 13.1.1 Neumann’s Method -- 13.1.2 van Oss, Chaudhury and Good Approach -- 13.1.3 Chen and Chang Model -- 13.1.4 The Present Work -- 13.2 Data Analysis -- 13.2.1 Data by Kwok et al. -- 13.2.1.1 Lessons from Analysis of Data by Kwok et al. -- 13.2.2 Analysis of Data by Dalal -- 13.2.3 An Alternate Experimental Approach -- 13.3 Summary and Conclusions -- References -- 14 Equilibrium Contact Angle and Determination of Apparent Surface Free Energy Using Hysteresis Approach on Rough Surfaces -- 14.1 Introduction -- 14.2 Experimental -- 14.2.1 Sample Preparation -- 14.2.2 Contact Angle Measurements -- 14.2.3 Surface Free Energy Calculation -- 14.2.4 Surface Structure Characterisation -- 14.3 Results and Discussion -- 14.3.1 Contact Angles and Surface Free Energy of Sol-Gel Films -- 14.3.2 Surface Roughness and Structure of Sol-Gel Films -- 14.4 Conclusions -- Acknowledgment -- References -- 15 Contact Angle and Wettability Correlations for Bioadhesion to Reference Polymers, Metals, Ceramics and Tissues -- 15.1 Introduction -- 15.2 Materials and Methods -- 15.2.1 Critical Surface Tension -- 15.2.2 Calculations of Bond Strength -- 15.3 Results -- 15.3.1 Tissue Testing -- 15.4 Discussion -- 15.4.1 Regression Analysis -- 15.4.1.1 Regression Analysis for Reference Materials (Without Pyrolytic Carbon and 316 LSS) -- 15.4.2 Remaining Concerns -- 15.4.2.1 The Peculiar Case of Pyrolytic Carbon -- 15.4.2.2 The Case of Ti Alloy and 316 LSS. 15.5 Summary and Conclusions. EBL201805 Chemical Physics and Chemistry SzGeCERN EBL Adhesion EBL Contact angle BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5313434 ebook n 201819 201805 21 PUBLIC https://catalogue.library.cern/legacy/2317880 BOOK MIGRATED 2317808 SzGeCERN 20210421204949.0 9780309459457 print version 9780309459464 electronic version electronic version oai:cds.cern.ch:2317808 cerncds:BOOK EBL 4935940 eng TA7.A874 1969 531.6 An assessment of ARPA-E Washington, WA, DC National Academies Press 2017 281 p ebook Pages:1 to 25 -- Pages:26 to 50 -- Pages:51 to 75 -- Pages:76 to 100 -- Pages:101 to 125 -- Pages:126 to 150 -- Pages:151 to 175 -- Pages:176 to 200 -- Pages:201 to 225 -- Pages:226 to 250 -- Pages:251 to 275 -- Pages:276 to 281. EBL201805 SzGeCERN Other Fields of Physics BOOK Sciences, Division on Engineering and Physical (ARPA-E), Committee on Evaluation of the Advanced Research Projects Agency-Energy Board on Science, Technology, and Economic Policy Affairs, Policy and Global Systems, Board on Energy and Environmental https://cds.cern.ch/auth.py?r=EBLIB_P_4935940 ebook 201805 n 201819 21 PUBLIC https://catalogue.library.cern/legacy/2317808 BOOK MIGRATED 2317798 SzGeCERN 20210421204950.0 9780081008959 print version 9780081009291 electronic version electronic version oai:cds.cern.ch:2317798 cerncds:BOOK EBL 4884391 eng TP329.L69 2017 621.312132 Luo, Zhongyang Low-rank coals for power generation, fuel and chemical production Cambridge, MA Elsevier Science & Technology 2017 367 p ebook Front Cover -- Low-Rank Coals for Power Generation, Fuel and Chemical Production -- Copyright Page -- Contents -- List of Contributors -- I. Low rank coal properties and preparation -- 1 Introduction to low-rank coals: Types, resources, and current utilization -- 1.1 The concept of low-rank coal -- 1.2 The types of low-rank coals -- 1.3 Distribution, reserves, and resources of low-rank coals -- 1.3.1 Europe and Eurasia -- 1.3.2 North America -- 1.3.3 Asia-Pacific -- 1.4 Current utilization of low-rank coals -- 1.4.1 Electric power generation -- 1.4.2 Other commercial uses -- Acknowledgments -- References -- 2 Properties of low rank coals and resulting challenges in their utilization -- 2.1 Introduction: Resources and usefulness of low rank coal -- 2.2 Overview of methods for classification of low rank coals -- 2.2.1 Classification of lignite for energy purposes -- 2.2.2 Classification of technological low rank coal according to chemical and petrographic criteria -- 2.3 Physicochemical properties of low rank coals and their effect on the method used to produce power -- 2.4 Main problems in utilization of low rank coal and effect of valorization on low rank coal by drying -- 2.4.1 Effect of lignite drying on coal properties structure reactivity -- 2.5 The barriers of low rank coal utilization and progress in low rank coal upgrading -- 2.6 Summary remarks -- References -- 3 Critical review of current industrial scale lignite drying technologies -- 3.1 Introduction -- 3.2 Drying process -- 3.3 Dryer classification -- 3.3.1 Drying method (evaporative-nonevaporative) -- 3.3.2 Heat transfer mechanism (direct-indirect) -- 3.3.3 Heating medium (flue gas-air-steam) -- 3.4 Types of coal dryers -- 3.4.1 Rotary dryers -- 3.4.1.1 Direct rotary dryers -- 3.4.1.2 Rotary-tube (indirect) dryers -- 3.4.2 Fluidized-bed dryer (FBD). 3.4.2.1 Fluidized-bed dryer with fountain bed (spouted bed) -- 3.4.2.2 Fluidized-bed dryer with immersed heater -- 3.4.2.3 Fluidized-bed dryer (WTA) -- 3.4.2.4 Pressurized fluidized-bed dryer -- 3.4.3 Pneumatic (flash) dryers -- 3.4.4 Mill-type dryers -- 3.4.4.1 Beater mills -- Beater wheel mill with classifier -- Beater wheel mill with vapor separation classifier -- Beater wheel mill with staged grinding -- 3.4.5 Hydrothermal dewatering (HTD) -- 3.4.5.1 K-Fuel -- 3.4.5.2 Continuous hydrothermal dewatering (CHTD) -- 3.4.5.3 Hot water drying (HWD) -- 3.4.5.4 The catalytic hydrothermal reactor technology -- 3.4.6 Mechanical thermal expression (MTE) -- 3.4.7 Microwave drying -- 3.4.7.1 CoalTek process -- 3.4.7.2 Drycol process -- 3.4.8 Superheated steam dryer -- 3.5 Dryer comparison -- 3.5.1 Technical characteristics -- References -- 4 Upgrading and advanced cleaning technologies for low-rank coals -- 4.1 Introduction -- 4.2 Upgrading: drying and stabilization of low-rank coals -- 4.2.1 Self-heating property of low-rank coals -- 4.2.2 Analysis of self-heating properties -- 4.2.3 Technologies reducing moisture and self-heating properties of low-rank coals -- 4.3 Advanced cleaning of low-rank coals -- 4.3.1 Advanced cleaning technologies -- 4.3.2 Utilization of cleaned coal: application and utilization of AFC -- 4.4 Conclusion -- References -- II. Low-rank coal combustion, gasification, and pyrolysis -- 5 High-efficiency pulverized coal power generation using low-rank coals -- 5.1 Introduction -- 5.2 Thermal design aspects -- 5.2.1 State of the art ultra supercritical (USC) thermal cycles for lignite power plants -- 5.2.1.1 Water/steam cycle -- 5.2.1.2 Air/flue gas cycle -- 5.2.2 Boiler design -- 5.3 Firing arrangements for lignite power plants -- 5.3.1 Lignite characteristics influencing power plant design -- 5.3.2 Lignite milling systems. 5.3.3 Typical raw lignite firing configuration -- 5.3.3.1 Direct firing without vapor separation -- 5.3.3.2 Direct firing with partial vapor separation -- 5.3.3.3 Direct firing with partial vapor discharge -- 5.3.4 Lignite burners -- 5.3.5 Dry lignite utilization concepts -- 5.3.5.1 Hybrid firing for increased flexibility -- Dry lignite boiler technology -- 5.4 Lignite predrying and Power Plant concepts -- 5.4.1 State of the art utility scale lignite dryers -- 5.4.2 Dryer integration concepts -- 5.5 State of the art AQCS -- 5.5.1 DeNOx systems -- 5.5.2 Flue gas desulfurization -- 5.5.3 New EU legislative framework (BREFs) -- 5.6 Conclusions-technology outlook -- Abbreviations -- References -- 6 Co-combustion of low-rank coals with biomass -- 6.1 Introduction -- 6.2 State-of-the-art of co-firing of low-rank coal with biomass -- 6.3 Comparison of technological options-Co-firing in PF and CFB boilers-Trial test real data, energy, and environmental boi... -- 6.4 Influence of low-rank coal and biomass co-firing on the depletion of nonrenewable energy resources and GHG emission-A l... -- 6.5 Conclusions -- Nomenclature -- Greek symbols -- Subscripts and superscripts -- References -- 7 CFBC and BFBC of low-rank coals -- 7.1 Introduction -- 7.1.1 Types of fluidized bed combustion (FBC) -- 7.1.2 Advantages of circulating fluidized bed combustion -- 7.1.3 History of fluidized bed combustion -- 7.2 Hydrodynamics -- 7.2.1 Overview of flow regimes -- 7.2.2 Axial flow structure -- 7.2.3 Gas and solids mixing in CFB -- 7.3 Combustion -- 7.3.1 Stages of coal combustion -- 7.3.2 Combustion process in BFB and in CFBC -- 7.3.3 Efficiency of coal combustion -- 7.4 Emissions -- 7.4.1 SOx formation mechanism -- 7.4.2 Desulfuration -- 7.4.3 The formation mechanism of NOx -- 7.4.3.1 Thermal NOx -- 7.4.3.2 Prompt NOx -- 7.4.3.3 Fuel NOx -- 7.4.4 Denitration. 7.4.4.1 NOx control and removal in the furnace -- 7.4.4.2 NOx removal and purification in flue gas -- 7.5 Design of combustion system -- References -- 8 Underground gasification of low rank coals -- 8.1 UCG process -- 8.1.1 Definition -- 8.1.2 Active worldwide projects -- 8.1.2.1 Australia -- 8.1.2.2 Asia -- 8.1.2.3 North America -- 8.1.2.4 South Africa -- 8.1.2.5 Europe -- 8.2 UCG research and development -- 8.2.1 Process modeling -- 8.2.1.1 Site investigation and geological model construction -- 8.2.1.2 Modeling of the geomechanical and thermal effect of the UCG and CO2 storage processes -- 8.2.1.3 Hydrogeological modeling of the selected site -- 8.2.2 Laboratory and field tests of UCG -- 8.2.3 Numerical modeling -- 8.2.3.1 Modeling of cavity growth -- 8.2.4 Geomechanical and environmental modeling feasibility -- 8.3 UCG and CCS -- 8.3.1 Hydrogeological modeling -- 8.3.1.1 Selecting the sites using the hydrogeological information -- 8.3.1.2 Feasibility evaluation of UCG and CO2 storage -- 8.3.2 Engineering for UCG and CO2 storage -- 8.3.2.1 Technical matters on wells for UCG and CO2 storage -- 8.3.2.2 Borehole planning for UCG and the adjustment for CO2 injection and storage -- 8.3.3 Environmental assessment of UCG-CO2 storage -- 8.3.3.1 UCG impact on the groundwater environment -- 8.3.3.2 Underground pathways and human activity -- 8.3.3.3 Geological and hydrogeological evaluation -- 8.3.3.4 CO2 storage-Environmental impacts related to UCG -- 8.3.3.5 Mathematical modeling for UCG-CO2 environmental sustainability -- 8.3.3.6 Application of the developed model to possible coal deposits -- 8.3.4 Economic assessment -- References -- 9 Gasification, DICE, and direct carbon fuel cells for power, fuels, and chemicals production from low rank coals -- 9.1 Introduction -- 9.2 State-of-the-art: Gasification -- 9.2.1 Fluidized bed gasifiers. 9.2.2 Large-scale, high efficiency power, chemicals, and fuels -- 9.2.3 Research needs to enable low rank coals-to-products -- 9.2.3.1 Moisture -- 9.2.3.2 Mineral matter content -- 9.3 The next big thing: MRC and DICE -- 9.3.1 DICE as a HELE coal technology -- 9.3.2 Flexibility: An increasing challenge -- 9.3.3 The Water-CO2 nexus -- 9.3.4 Natural gas versus DICE -- 9.3.5 Development requirements -- 9.3.6 Conclusions -- 9.4 Toward maximum efficiency: DCFC -- 9.4.1 Concepts -- 9.4.2 Carbon fuel cell types and fuels -- 9.4.3 Technology challenges and R&D needs -- 9.4.4 Applications -- References -- Further reading -- III. Other applications of low rank coal and carbon capture and storage -- 10 Coal-to-liquids and polygeneration using low rank coals -- 10.1 DCL processes -- 10.1.1 The principle of DCL processes -- 10.1.2 Typical DCL processes -- 10.2 ICL processes -- 10.2.1 Fischer-Tropsch synthesis -- 10.2.2 Methanol synthesis with subsequent conversion to gasoline or petrochemicals -- 10.2.3 Methanation -- 10.3 Polygeneration of power, liquid, and gas: through pyrolysis -- 10.3.1 Polygeneration of power, liquid, and gas based on fluidized bed -- 10.3.2 Polygeneration of power, liquid, and gas based on moving bed -- 10.3.3 Polygeneration of power, liquid, and gas based on semi-coke heat carrier -- 10.4 Polygeneration of power, liquid, and gas: through partial gasification -- 10.4.1 Introduction -- 10.4.2 Development status at home and abroad -- 10.5 Polygeneration of power, liquid, and gas: through gasification -- 10.5.1 The syngas convert into clean fuel and high quality chemical products -- 10.5.2 The development of gas turbine technology -- 10.5.3 Fuel cell technology -- 10.5.4 High temperature gas dust removal and desulfurization technology -- 10.5.5 Gas separation technology -- 10.5.6 System integration theory and tools -- References. 11 Coke production from low rank coals. EBL201805 Engineering SzGeCERN BOOK Agraniotis, Michalis https://cds.cern.ch/auth.py?r=EBLIB_P_4884391 ebook n 201819 201805 21 PUBLIC https://catalogue.library.cern/legacy/2317798 BOOK MIGRATED 2317788 SzGeCERN 20190412225941.0 9783035730296 (electronic bk.) electronic version electronic version 9783035710298 9783035710298 print version oai:cds.cern.ch:2317788 cerncds:BOOK EBL 4865600 eng QC481.C877 2017 539.72220000000004 Ahmad, Zainal Arifin Current material research using X-rays and related techniques II Zurich Trans Tech Publications 2017 549 p ebook Current Material Research Using X-Rays and Related Techniques II -- Preface, Organizing Committee, Sponsors -- Table of Contents -- Chapter 1: Traditional and Functional Ceramics -- Characterization of 3 mol% Fe from Different Source Doped 8YSZ Ceramics -- Dielectric Properties of Al2O3/CaCu3Ti4O12 Composite at High Frequency Range -- Dielectric Properties of CaCu3Ti4O12/Al2O3 Composites -- Effect of Alteration Ratios of Magnesia and Alumina in Non-Stoichiometric Cordierite Composition Formulations (2.(8-n)MgO.1.(5+n)Al2O3.5SiO2) on Phase Transformation and Crystallization -- Effect of Calcination Temperature on the Breakdown Strength and Energy Density of CaCu3Ti4O12 Ceramic -- Effect of Dispersant Addition on Properties of Ceramic Pieces from Kampung Dengir, Besut, Terengganu, Malaysia -- Effect of Dispersant Amount to Fabrication of 3-D Porous Cordierite through Gelcasting Method -- Effect of Firing Temperature on Mechanical and Physical Properties of Porcelain Balls as Grinding Media -- Effect of Sintering Temperature on Structure and Dielectric Properties of Lead Free K0.5Na0.5NbO3 Prepared via Hot Isostatic Pressing -- Effects of Milling Speed and Calcination Temperature on the Phase Stability of Ba0.5Sr0.5Co0.8Fe3-δ -- Effects of TiN Single Layer Coating on the Wear of ZTA Cutting Inserts and Surface Roughness of Workpiece -- Elemental, Thermal, and Structural Characterization of ZnO Doped 8 mol% Yttria-Stabilized Zirconia (8YSZ) Ceramics -- Fabrication of Lanthanum and Strontium Doped PZT Ceramics Using Solid State Reaction Method -- Impact of Sintering Temperatures on Microstructure, Porosity and Mechanical Strength of Refractory Brick -- Effects of Soda Lime Silicate Content on Industrial Stoneware Bodies Prepared by Pressing Method -- Investigation of YIG's Active Site Using Density Functional Theory. Production of Mullite Ceramic Bodies from Kaolin Processing Waste and Aluminum Hydroxide -- Sol-Gel Synthesis of Niobium Doped Yttria Stabilised Zirconia -- Structural Properties of Pb(Zr0.52Ti0.38Li0.1)O3 Prepared via High Planetary Mill -- Synthesis and Characterization of Pb(Zr0.52Ti0.48)O3 Properties via High Planetary Mill -- Synthesis and Characterization of Zirconia-Alumina Ceramics Doped Niobium Oxide -- Tetragonal and Monoclinic Phase Transformation of ZTA-MgO Ceramic Cutting Tool by Machining Process -- The Bending Strength of the Porcelain with the Substitution of Quartz by Palm Oil Fuel Ash -- The Dielectric Properties of CaCu3Ti4O12 at Various Calcination Temperatures -- The Effect of Different Silica Compositions to the Properties of Silica Foam Fabricated Using Slurry Method -- The Role of Nb2Zr6O17 Phase on the Hardness and Fracture Toughness of ZTA/Nb2O5 by Cold Isostatic Pressing -- Two-Body Dry Abrasive Wear Performance of High Velocity Oxygen Fuel Spray Process and Electrodeposited Cermet Coatings -- Delamination of Kaolinite by Intercalation of Urea Using Milling -- Characterizations of Pergau River Clay as Comparison to Mambong and Sayong -- Effect of Na2O and K2O on the Solubility and Chemical Properties of P2O5-CaO-Na2O-K2O-Al2O3 Glass -- Synthesis and Characterization of Cobalt Doped with Yttria-Stabilized Zirconia Electrolytes -- The Effect of Flux to Physical and Chemical Properties of Ceramic Body Using Ball Clay from Kampung Dengir, Besut, Terengganu -- Diversification Studies on Samarium Strontium Cobaltite Regarding Thermal & Structural Properties as Based Composite Cathode of SOFC -- Rietveld Refinement Strategy of CaTa4-xNbxO11 Solid Solutions Using GSAS-EXPGUI Software Package -- Chapter 2: Composite Materials and Polymers. Characterization of Silica Gel Impregnated with Tetradecylamine by X-Ray Diffractometry and Brunauer-Emmet-Teller Studies -- Effect of Boron Carbide Content on Properties of Thermoplastic Natural Rubber Composite as Thermal Neutron Shielding -- Effect of Curing Time and Sintering to the Properties of Geopolymer Mortars -- Effect of Kenaf Fiber on Morphology and Mechanical Properties of Rigid Polyurethane Foam Composite -- Flexural and Morphology Properties of Kenaf Fibre Reinforcement Unsaturated Polymer Composite -- Influences of NBR/Al2O3/YSZ as Fillers for PMMA Composite on the Thermal Properties -- Mechanical Properties of Copper Ferrite CuFe2O4-Polymer Composite Fabricated Using 3D Printer -- The Effect of Graphene and Natural Rubber Content on Mechanical and Electrical Conductivity Properties of Epoxy/Natural Rubber/Graphene Conductive Materials -- The Effect of Liquid Natural Rubber as Toughening Agent in Epoxy/LNR/CB Composite -- The Properties of Epoxy/Graphene Conductive Materials Using High Speed Mechanical Stirrer and Bath Sonicator -- Mechanical and Water Absorption Properties of Hybrid Kenaf/Glass Fibre Mat Reinforced Unsaturated Polyester Composites -- Microstructure and Mechanical Properties of Cement Mortar Incorporate with Coated Expanded Polystyrene Beads -- Effect of Glycerol on the Properties of Tapioca Starch Film -- Extraction of Rice Straw Alpha Cellulose Micro/Nano Fibres -- Chapter 3: Biomaterials and Biotechnologies, Nanomaterials and Nanotechnologies -- Biomimetic Bone-Like Apatite Coating on Anodised Titanium in Simulated Body Fluid under UV Irradiation -- Comparative Study of Chemical and Mechanical Treatment Effects on Bacterial Cellulose from Nata de Coco -- Crystal Structure of TiO2 Nanotube Arrays Anodized at Different Voltage for Cell-Metal Interaction. Development of New Composition of Bioactive Glass Powder from SiO2-CaO-Na2O-P2O5 System through Melt-Derived Route -- Effect of Temperature towards the Corrosion Behavior of Titania Nanotube Anodized in H2O2-Based Organic Electrolyte -- Influence of Extraction Process (Pre-Treatment Time) on the Characteristic of Black Tilapia Fish Skins Gelatin -- Properties of Aminosilane Modified Nanocrytalline Cellulose (NCC) from Oil Palm Empty Fruit Bunch (OPEFB) Fibers -- Structural and Optical Characterization of TiO2/ZnO Thin Films Prepared by Sol-Gel Method -- The Effects of Electron Beam Irradiation on Structural and Optical Properties of TiO2 Particles -- The Effects of Substrate Orientation on Galvanic Growth of ZnO Structures -- Fabrication and Characterization of ZnO Nanofibers by Electrospinning -- EDS Analysis for Fruit Prunus Elemental Composition Determination -- Study on Conversion Time of Brushite to Monetite via Hydrothermal Method -- The Spectroscopic Analysis of Pandanus' Tristearin -- Chapter 4: Materials for Opto- and Microelectronics -- XRD and Photoluminescence Properties of CaSO4:Dy Phosphor Synthesized by New Co-Precipitation Method -- Growth of ZnO on Flexible Substrate via Sol-Gel Hot Water Treatment -- Structural and Surface Morphology of ZnO -- Radiation Damage Study of Electrical Properties in GaN LEDs Diode after Electron Irradiation -- Study of Eleiodoxa conferta (Kelubi) Fruit as Dye-Sensitized Solar Cell (DSSC) for Energy Conversion Efficiency -- Modification of Optophysical Properties of Poly[(9,9-Di-N-Octylfluorenyl-2,7-Diyl)-Alt-(Benzo[2,1,3]Thiadiazol-4,8-Diyl)] Thin Film via Additions of TiO2 Nanoparticles -- Chapter 5: Metals and Alloys -- Corrosion Properties of Sn-9Zn Solder in Acidic Solution -- Dissolution Method of Aluminum Foams Containing Mg Using Carbamide Space Holder. Effect of Noble Metal Silver on the Reduction Behaviour of Molybdenum Oxide Using Carbon Monoxide -- Electrochemical and XPS Studies of Benzalkonium Chloride for Carbon Steel Protection in Hydrochloric Acid -- Influence of Cerium Additive on the Reduction Behaviour of Tungsten Oxide under Carbon Monoxide Atmosphere -- Polarization Study of Sn-0.7Cu Solder Alloy in 1M Hydrochloric Solution -- Production of Cu-Sn-Zn Ternary Alloy Coating via Electroplating -- Reduction of Molybdenum Trioxide by Using Hydrogen -- The Effect of Dipping Time of Liquid Nitrogen on Mechanical Properties of Al Alloy 5083 via Cryorolling -- The Impact of Composition and Sintering Temperature for Stainless Steel Foams (SS316L) Fabricated by Space Holder Method with Urea as Space Holder -- High Temperature Oxidation Behaviour of Ni-Cr-, Ti- and Fe-Based Alloys in Flowing Wet Gas Environment -- The Relationship between XRD Peak Intensity and Mechanical Properties of Irradiated Lead-Free Solder -- The Effect of Annealing to the Hardness of Oxide Dispersion Strengthened (ODS) Fe-15Cr-0.3Y2O3 Alloy -- Chapter 6: Environmental Engineering, Waste Recycling and Mineral Resources -- Influence of Calcination Temperature towards Fe-TiO2 for Visible-Driven Photocatalyst -- Influence of Reduction Temperatures on Reduction of FeO-Containing Slag by Agricultural Waste -- Determination of Indoor 222Rn Concentrations Level on Different Room Sizes in Academic Building at Universiti Malaysia Kelantan Jeli Campus -- Mineralogical Characteristics and Quantification of Mineral Phases in Malaysian Low Grade Manganese Ore -- Preliminary Determination of Minerals in Mukah Coal -- Sago Pith Waste Ash as an Addition to Fly Ash-Based Geopolymer Mortar -- The Effects of Altitude Levels on 222Rn Concentration in Academic Building at Universiti Malaysia Kelantan Jeli Campus. Investigations of Outdoor and Indoor 222Rn Concentrations Level in Academic Building at Universiti Malaysia Kelantan Jeli Campus. EBL201805 SzGeCERN Engineering BOOK Meor Sulaiman, Meor Yusoff Yarmo, Mohd Ambar Abdul Aziz, Fauziah Ismail, Khairul Nizar Abdullah, Norazharuddin Shah Abdullah, Yusof Rejab, Nik Akmar Ahmadipour, Mohsen https://cds.cern.ch/auth.py?r=EBLIB_P_4865600 ebook 201805 n 201819 21 PUBLIC BOOK DELETED 2317750 SzGeCERN 20210421204955.0 9780128094112 print version 9780128095027 electronic version electronic version oai:cds.cern.ch:2317750 cerncds:BOOK EBL 4773326 eng QH307.2.P764 2017 610.285 Verma, Mukesh Progress and challenges in precision medicine San Diego, CA Elsevier Science & Technology 2016 346 p ebook Front Cover -- Progress and Challengesin Precision Medicine -- Progress and Challenges in Precision Medicine -- Copyright -- Contents -- List of Contributors -- Biography -- MUKESH VERMA -- DEBMALYA BARH -- Dedication -- Preface -- 1 - Introduction: Every Individual Is Different and Precision Medicine Offers Options for Disease Control and Treatment -- 1. WHAT IS PRECISION MEDICINE? PERSONALIZED MEDICINE VERSUS PRECISION MEDICINE (C. HIZEL, P. HAMET, AND J. TREMBLAY) -- 1.1 Precision Medicine in Complex Chronic Disease: A Focus on Diabetes -- 2. PRECISION MEDICINE FOR POPULATION HEALTH (G. BARTLETT) -- 3. CONCLUSION -- REFERENCES -- 2 - Clinical Next-Generation Sequencing: Enabling Precision Medicine -- 1. INTRODUCTION -- 2. TECHNICALITIES AND CHEMISTRIES OF NGS -- 2.1 Genome-Wide Methods -- 2.2 Capture-Based Methods -- 2.3 Amplification-Based Methods -- 2.4 Latest Developments -- 3. NGS DATA ANALYSIS -- 3.1 Quality Assessment -- 3.2 Alignment -- 3.3 Variant Identification -- 3.4 Variant Annotation -- 3.5 Challenges in Data Analysis -- 4. REFERENCE DATABASES FOR DISEASE ASSOCIATIONS AND DRUG RESPONSE -- 5. APPLICATIONS OF NGS IN PRECISION MEDICINE -- 5.1 Expression Analysis -- 5.2 Epigenetic Studies -- 5.3 Genome Sequencing -- 5.4 Noninvasive Prenatal Testing -- 5.5 Disease Gene Identification -- 6. REGULATORY CONCERNS WITH NGS CLINICAL GENOMICS -- 7. CONCLUSION -- REFERENCES -- 3 - Phenotyping in Precision Medicine -- 1. INTRODUCTION -- 2. DEEP PHENOTYPING -- 3. EXPRESSIVITY AND PENETRANCE -- 4. EXPRESSIVITY -- 5. PENETRANCE -- 6. PHENOTYPIC VARIATION IN EXPRESSIVITY AND PENETRANCE -- 7. PLEIOTROPY -- 8. DISEASES AND PHENOTYPES -- 9. CANCER -- 10. DIABETES -- 11. RESPIRATORY DISORDERS -- 12. ENCEPHALOPATHY -- 13. DATA MINING AND PHENOTYPING -- 14. APPROACHES FOR PHENOTYPING -- 15. FUTURE DIRECTIONS -- REFERENCES. 4 - Cancer Genetic Screening and Ethical Considerations for Precision Medicine -- 1. INTRODUCTION -- 2. GENETIC TESTING IN HEREDITARY CANCERS -- 2.1 Genetic Testing for Hereditary Breast and Ovarian Cancers -- 2.2 Genetic Testing for Hereditary Colorectal Cancers -- 2.3 Genetic Testing for Lung Cancers -- 3. ETHICAL ISSUES RELATED TO CANCER GENETIC SCREENING -- 3.1 Competency of Genetic Screening Laboratories and Medical Personnel -- 3.2 Direct-To-Consumers Genetic Testing -- 3.3 Individual Rights Versus Community Rights -- 3.4 Individual Informed Consent -- 3.5 Return of the Results for Pediatric Patients -- 3.6 Environmental and Distributive Justice -- 3.7 Cancer Screening and Discrimination -- 3.8 Cancer Screening and Stigma -- 3.9 Implications of Genetic-Based Cancer Screening at the Population Level -- 4. SUMMARY AND CONCLUSIONS -- REFERENCES -- 5 - Precision Medicine in Primary Health Care -- 1. THE CASE FOR PRIMARY HEALTH CARE -- 2. PRECISION MEDICINE IN PRIMARY HEALTH CARE: WARFARIN AND PHARMACOGENOMICS -- 3. PRECISION MEDICINE IN PRIMARY HEALTH CARE: CREATING AN INFORMATICS SYSTEM -- 4. PRECISION MEDICINE: A FEASIBILITY STUDY FOR PRIMARY HEALTH CARE -- 4.1 Outcomes -- 4.2 Statistical Analysis -- 4.3 Ethics -- 5. PRECISION MEDICINE IN PRIMARY HEALTH CARE: FEASIBILITY RESULTS -- 5.1 Informatics System Results -- 5.2 PGx Testing Results -- 6. PRECISION MEDICINE AND IMPLICATIONS FOR PHARMACOGENOMICS IN PRIMARY HEALTH CARE -- ABBREVIATIONS -- ACKNOWLEDGMENTS -- REFERENCES -- 6 - Population Approach to Precision Medicine -- 1. BACKGROUND -- 2. EXAMPLES OF DIFFERENT TUMOR TYPES WHERE PRECISION MEDICINE WAS APPLIED -- 2.1 Breast Cancer -- 2.2 Cervical Cancer -- 2.3 Colorectal Cancer -- 2.4 Head and Neck Cancer -- 2.5 Hepatocellular Carcinoma (Liver Cancer) -- 2.6 Melanoma -- 2.7 Lung Cancer -- 2.8 Prostate Cancer. 3. DIFFERENT APPROACHES TO ADDRESS CHALLENGES IN PRECISION MEDICINE -- 4. MEDICAL APPLICATIONS IN HEALTH CARE SETTINGS -- 5. CHALLENGES AND POTENTIAL SOLUTIONS -- 5.1 Lengthy Time of Approval -- 5.2 Validation of Genomic Association Studies -- 5.3 Undruggable Targets -- 5.4 Need for Longitudinal Studies -- 5.5 Translating Molecular Information Into Clinics -- 5.6 Side Effects and Overall Survival -- 5.7 New Classification of Diseases -- 5.8 Implication in Population Setup -- 5.9 Too Many Details -- 6. LOOKING AHEAD -- 7. CONCLUSION -- ACKNOWLEDGMENTS -- REFERENCES -- 7 - Regulation of Genomic Testing in the Era of Precision Medicine -- 1. GENOMIC TESTING IN THE ERA OF PRECISION MEDICINE -- 1.1 What Is Genomic Testing? -- 2. REQUISITE FOR REGULATION OF GENOMIC TESTING -- 3. PERSPECTIVE OF "BEYOND THE CLINIC" -- 4. ASSURING THE QUALITY OF DATA -- 4.1 Strategies Adapted for Ensuring the Quality of Genetic Data -- 4.2 Ethics and Confidentiality Issues -- 5. SIGNIFICANCE OF FEEDBACK -- 6. REQUISITE OF REGULATORY BODY -- 6.1 Role of Current Programs -- 6.2 Establishing a Registry System -- REFERENCES -- 8 - Image-Based Modeling and Precision Medicine -- 1. BIOMEDICAL VISUALIZATION -- 1.1 2D Image Generation and Display -- 1.2 3D Image Generation and Display -- 1.3 Multiplanar Reformatting -- 1.4 Oblique Sectioning -- 1.5 Curved Sectioning -- 1.6 Surface Rendering Techniques -- 1.7 Volume Rendering Techniques -- 2. DIAGNOSTIC IMAGING -- 2.1 Imaging in Modern Oncology -- 2.2 Major Anatomical Imaging Modalities -- 2.2.1 Ultrasonography -- 2.2.2 X-Ray-Based Techniques -- 2.2.3 Computed Tomography -- 2.2.4 Magnetic Resonance Imaging -- 2.3 Functional/Metabolic Imaging Modalities in Oncology -- 3. MEDICAL SIMULATION -- 3.1 Human Factors in Medical Simulation -- 4. MULTISCALE ENGINEERING IN BIOLOGY -- 5. VISIBLE HUMAN PROJECT. 5.1 Development of VHP at IT, CD-ROM, and Internet Level -- 6. IMAGE-BASED MODELS -- 6.1 The NIH/NIGMS Center for Integrative Biomedical Computing -- 7. FUNCTIONAL ANATOMY SIMULATION -- 8. CELLS AND SUBCELLULAR SYSTEMS -- 9. END USER APPLICATIONS -- 9.1 Inflammatory Diseases and Precision Medicine -- 9.2 Image-Based Computational Models of Cardiac Structure -- 9.3 Diagnostic Imaging of Skeletal Malignancies -- 9.4 Pulmonary Disease -- 9.5 Image-Based Models -- REFERENCES -- 9 - Sharing Outside the Sandbox? The Child's Right to an Open Data Sharing Future in Genomics and Personalized Medicine -- 1. INTRODUCTION -- 2. CHILDREN IN RESEARCH -- 3. A CHANGING LANDSCAPE FOR PEDIATRIC RESEARCH PARTICIPATION -- 4. THE RESEARCH ETHICS REVIEW PROCESS AND IMPLICATIONS FOR DATA SHARING -- 5. SHARING OUTSIDE THE SANDBOX -- 5.1 Responsibility to the Data Source -- 5.2 Responsibility to the Data Process -- 5.3 Responsibility to the Data Impact -- 6. CONCLUSION -- REFERENCES -- 10 - Lessons Learned From Cohort Studies, and Hospital-Based Studies and Their Implications in Precision Medicine -- 1. THE PYRAMID OF EVIDENCE: A USEFUL CONSTRUCT -- 2. AN OVERVIEW OF STUDY DESIGNS -- 3. EXPERIMENTAL STUDIES -- 3.1 Randomized Controlled Trial -- 3.1.1 Noninferiority Trials -- 4. QUASI-EXPERIMENTAL STUDIES -- 5. NONEXPERIMENTAL/OBSERVATIONAL STUDY DESIGNS -- 6. COHORT STUDIES -- 7. CASE-CONTROL STUDIES -- 8. THE STROBE STATEMENT: THE STRENGTHENING THE REPORTING OF OBSERVATIONAL STUDIES IN EPIDEMIOLOGY STATEMENT -- 9. CROSS-SECTIONAL STUDIES -- 10. CASE SERIES -- 11. OTHER STUDY DESIGNS -- 11.1 Meta-Analyses -- 11.2 Cost-Effectiveness Studies -- 11.3 Qualitative Studies -- 11.4 Cohort Studies in Health Sciences Librarianship -- 12. APPLICATIONS OF CLINICAL TRIALS, COHORT STUDIES, AND HOSPITAL-BASED STUDIES IN CLINICAL MEDICINE -- 13. FUTURE EXPECTATIONS -- REFERENCES. 11 - Clinical Trials in Precision Medicine -- 1. INTRODUCTION -- 2. PHASE II BASKET DISCOVERY TRIALS -- 3. TARGETED (ENRICHMENT) PHASE III DESIGNS -- 4. ADAPTIVE ENRICHMENT DESIGNS -- 4.1 Single Binary Biomarker -- 4.2 More General Adaptive Enrichment -- 5. CONCLUSION -- REFERENCES -- 12 - Time to Educate Physicians and Hospital Staff in Electronic Medical Records for Precision Medicine -- 1. INTRODUCTION -- 2. LINKING CLINICAL INFORMATION AND BENCH SCIENCE -- 3. ELECTRONIC MEDICAL RECORD AND CLINICAL DECISION SUPPORT SYSTEM -- 4. ELECTRONIC MEDICAL RECORD AS A FOUNDATION FOR CLINICAL DECISION SUPPORT SYSTEM -- 5. PRECISION MEDICINE AND SUPERCOMPUTERS -- 6. THE USE OF BIOINFORMATICS AND INTEGRATED KNOWLEDGE ENVIRONMENTS -- 7. DATA INTEGRATION FACILITATING MEDICAL RESEARCH -- 8. ETHICAL ISSUES IN ELECTRONIC HEALTH RECORDS -- 9. SYSTEM IMPLEMENTATION -- 9.1 Data Inaccuracies -- 10. EMERGE (ELECTRONIC MEDICAL RECORDS AND GENOMICS) CONSORTIUM -- 11. CONCLUSION -- REFERENCES -- 13 - Computational Approaches in Precision Medicine -- 1. INTRODUCTION -- 2. COMPUTATIONAL TOOLS IN P4 MEDICINE I: HARDWARE AND INFRASTRUCTURE -- 2.1 General Hardware Tools -- 3. COMPUTATIONAL TOOLS IN P4 MEDICINE II: SOFTWARE RESOURCES -- 3.1 An Overview for Software Tools in Precision Medicine -- 3.2 Systems Biology Software -- 4. COMPUTATIONAL TOOLS IN P4 MEDICINE III: BIOLOGICAL DATABASES, STANDARDS, AND ONTOLOGIES -- 4.1 Systems Biology Markup Language (SBML): An Approach for Unifying Biomedical Information -- 4.2 BioNetGen Language (BNGL) -- 4.3 BioModels Database -- 4.4 COPASI -- 4.5 Computational Tools for Metabolomics -- 4.6 Computational Tools for Epigenetics -- 4.7 Computational Tools for Imaging -- 4.8 Computational Tools in P4 Medicine IV: Data Mining and Natural Language Processing -- 5. SOME RELEVANT WORKS ON COMPUTATIONAL TOOLS IN PRECISION MEDICINE. 6. FINAL CONSIDERATIONS. EBL201805 Health Physics and Radiation Effects SzGeCERN BOOK Barh, Debmalya https://cds.cern.ch/auth.py?r=EBLIB_P_4773326 ebook n 201819 201805 21 PUBLIC https://catalogue.library.cern/legacy/2317750 BOOK MIGRATED 2317739 SzGeCERN 20210421204956.0 9780128043011 print version 9780128043721 electronic version electronic version oai:cds.cern.ch:2317739 cerncds:BOOK EBL 4709099 eng R857.B54.N366 2017 610.28 Grumezescu, Alexandru Nanobiosensors San Diego, CA Elsevier Science & Technology 2016 928 p ebook Nanotechnology in the agri-food industry 8 Cover -- Title Page -- Copyright Page -- Contents -- List of Contributors -- Series Foreword -- Series preface -- About the Series (Volumes I-X) -- Volume preface -- 1 - Nanomaterials-based optoelectronic noses for food monitoring and classification -- 1 - Introduction -- 2 - Principles of Chromogenic Arrays -- 3 - Multivariate Analysis Methodologies -- 4 - Examples of Application of Chromogenic Optoelectronic Noses -- 4.1 - Sensing Materials -- 4.2 - Chromogenic Array Response -- 5 - Freshness Monitoring -- 5.1 - Chicken Meat -- 5.2 - Fresh Pork Sausages -- 5.3 - Boiled Marinated Turkey -- 6 - Quantification of Microbiological Loading, Storage Days, and Sensory Score -- 7 - Determination of Blue Cheese Origin -- 8 - Conclusions -- References -- 2 - Biosensors for detection mycotoxins and pathogenic bacteria in food -- 1 - Introduction -- 2 - Biosensors and Nanomaterials: General Consideration -- 3 - Mycotoxins -- 3.1 - General Characteristics of Common Mycotoxins -- 3.2 - Aptasensors for Mycotoxins -- 3.3 - Immunosensors for Mycotoxins -- 3.4 - Other Biosensors -- 4 - Pathogenic Microorganisms -- 4.1 - Aptasensors for Detection of Pathogenic Microorganisms -- 4.2 - Immunosensors Including Nanomaterials for the Detection of Pathogenic Bacteria -- 5 - Conclusions -- Acknowledgments -- References -- 3 - Bioconjugated nanomaterials for monitoring food contamination -- 1 - Introduction -- 2 - Aptamers -- 2.1 - Aptamer Screening -- 3 - Conventional Methods for Food Contamination Detection -- 3.1 - Immunoassay-Based Methods -- 3.1.1 - Enzyme-Linked Immunosorbent Assay -- 3.1.2 - Lateral Flow Immunoassay -- 3.1.3 - Immunomagnetic Separation -- 3.2 - PCR-Based Methods -- 3.2.1 - Standard PCR -- 3.2.2 - Multiplex PCR -- 3.2.3 - Quantitative PCR -- 3.2.4 - Flow Cytometry Method -- 4 - Monitoring Food Contamination Through Bioconjugated Nanomaterials. 4.1 - Detection of Foodborne Pathogens -- 4.2 - Detection of Food Toxins -- 4.3 - Detection of Food Allergens -- 4.4 - Detection of Other Food Safety Hazards -- 5 - Multiplexed Biosensors -- 6 - Summary -- Acknowledgments -- References -- 4 - Detection of food contaminants by gold and silver nanoparticles -- 1 - Introduction -- 1.1 - Chemical Adulterants -- 1.1.1 - Melamine -- 1.1.2 - Malathion -- 1.2 - Bacterial Adulterants -- 1.2.2 - E. coli O157:H7 -- 1.2.3 - Endotoxin -- 1.3 - Conventional Methods -- 1.3.1 - Plasmonic Nanoparticles -- 2 - Melamine Detection Using Gold Nanoparticles -- 2.1 - Synthesis of Spherically Shaped Gold Nanoparticles -- 2.2 - Size Characterization -- 2.3 - Melamine Detection Using Different Sizes of AuNPs (15, 30, and 40 nm) -- 2.4 - Sensitivity of Melamine Detection -- 2.5 - Interference Study -- 2.6 - Pretreatment of Milk Samples -- 2.6.1 - Extraction of Melamine From Milk Sample -- 2.6.2 - Purification of Milk Samples -- 2.7 - Melamine Detection in Milk Samples Using AuNPs-II -- 3 - Malathion Detection Using Silver Nanoparticles -- 3.1 - Biosensors for Pesticide Detection -- 3.2 - Detection of Pesticides in Fruit and Vegetable Samples -- 4 - Colorimetric Detection of LPS Using Gold Nanorods (AuNRs) -- 4.1 - Synthesis of Gold Nanorods -- 4.2 - Characterization of Gold Nanorods (AuNRs) -- 4.3 - Extraction of LPS From E. coli -- 4.4 - Sensitivity of the AuNR Probe -- 4.5 - Interference Study -- 4.6 - Application of CTAB-Capped AuNRs in Real Samples -- 5 - Conclusions -- References -- 5 - Nanomaterial-based electrochemical biosensors for food safety and quality assessment -- 1 - Introduction -- 2 - Typical NMs Used in New Electrochemical Biosensing Devices for Food Analysis -- 2.1 - Nanoparticles -- 2.1.1 - AuNPs -- 2.1.2 - Magnetic NPs (MNPs) -- 2.2 - Carbon-Based NMs -- 2.3 - Carbon NMs/NPs Hybrid Nanoarchitectures. 3 - NM-Based Electrochemical Biosensors for Food Contaminants Analysis -- 3.1 - Pathogens -- 3.2 - Toxins -- 3.2.1 - Mycotoxins -- 3.2.1.1 - Ochratoxins -- 3.2.1.2 - Aflatoxins -- 3.2.1.3 - AFB1 -- 3.2.1.4 - AFM1 -- 3.2.1.5 - Fusarium Toxins -- 3.2.1.6 - ZEA -- 3.2.1.7 - DON -- 3.2.1.8 - Fumonisins -- 3.2.2 - Algal Toxins -- 3.2.2.1 - Okadaic Acid -- 3.2.2.2 - Brevetoxins -- 3.2.2.3 - Microcystins -- 3.2.3 - Bacterial Toxins -- 3.3 - Other Chemical Contaminants -- 3.3.1 - Pesticides -- 3.3.2 - Veterinary Drug Residues -- 4 - Conclusions -- References -- 6 - Chemical sensors based on hybrid nanomaterials for food analysis -- 1 - Introduction to Hybrid Nanomaterials -- 2 - Chemical Sensors Aspects -- 2.1 - Definition -- 2.2 - Principles -- 2.3 - Market Aspects and Food Safety -- 3 - Types of Nanomaterials Employed for Sensor Design -- 3.1 - Polymeric Nanomaterials -- 3.2 - Carbon-Based Materials -- 3.3 - Metal and Metal Oxide Nanoparticles -- 3.4 - Hybrid Organic-Inorganic Nanomaterials -- 4 - Types of Sensors and Methods of Detection -- 4.1 - Electrochemical Sensors -- 4.2 - Electronic Nose and Electronic Tongue -- 4.2.1 - Electronic Tongues -- 4.2.2 - Electronic Noses -- 4.3 - Methods of Data Analysis -- 5 - Novel Sensing Platforms Based on Microfluidics -- 6 - Final Remarks -- Acknowledgments -- References -- 7 - Prevention of food spoilage using nanoscale sensors -- 1 - Introduction -- 2 - Nanobiosensors -- 3 - Gas Nanosensors -- 4 - SbSI Nanosensors of Humidity -- 4.1 - Conductive SbSI Sensors of Humidity -- 4.2 - Photoconductive SbSI Sensors of Humidity -- 4.3 - Capacitive SbSI Sensors of Humidity -- 4.4 - Impedance SbSI Sensors of Humidity -- 5 - Conclusions -- Acknowledgments -- References -- 8 - Biosensor technologies for analyses of food contaminants -- 1 - Introduction -- 2 - Biosensors. 3 - Application of Biosensors for Food Contaminants Detection -- 3.1 - Biosensors for Xenobiotic Compounds in Food -- 3.1.1 - Biosensors for Additives in Food -- 3.1.2 - Biosensors for Antibiotics in Food -- 3.1.3 - Biosensors for Bisphenol A in Food -- 3.1.4 - Biosensors for Other Heavy Metals in Food -- 3.1.5 - Biosensors for Pesticides in Food -- 3.1.6 - Biosensors for Other Xenobiotic Compounds in Food -- 3.2 - Biosensor for Toxins in Food -- 3.3 - Biosensors for Pathogens in Food -- 4 - Commercial Biosensors for Food Contaminants -- 5 - Conclusions and Future Perspectives -- Acknowledgment -- References -- 9 - Analytical and advanced methods-based determination of melamine in food products -- 1 - Introduction -- 2 - Melamine Structure and Application -- 3 - Toxicology of Melamine and Its Metabolite -- 4 - Melamine Contamination Cases -- 5 - Tolerable Daily Intake (TDI) and Risk Assessment of Melamine -- 6 - Modern Instrument Analytical Methods -- 6.1 - Capillary Electrophoresis -- 6.2 - Mass Spectrometry -- 6.3 - Chromatography Techniques -- 6.4 - Enzyme-Linked Immunosorbent Assays (ELISA) -- 7 - Advanced Methods for Determination of Melamine -- 7.1 - Electrochemical Sensors -- 7.2 - Molecularly Imprinted Polymers (MIPs) -- 7.3 - Aptamer-Based Sensors -- 7.4 - Optical Sensors -- 7.4.1 - Colorimetric Sensors -- 7.4.2 - Fluorescence Sensors -- 7.5 - Quantum Dots -- 7.6 - Chemiluminescence Sensors (CL) -- 7.6.1 - Luminescence Sensors -- 7.7 - Surface Plasmon Resonance (SPR) -- 8 - Conclusions -- Acknowledgment -- References -- 10 - Nanomaterial-based sensor platforms for facile detection of food contaminants -- 1 - Introduction -- 2 - Current Approaches for Pathogen Detection from Contaminated Food -- 2.1 - Nanomaterials for Analyte Separation and Concentration -- 3 - Nanomaterials as Recognition Element and Signal Enhancer. 4 - Nanomaterials-Based Signal Transducers and Sensor Platforms -- 5 - Conclusions and Future Perspectives -- References -- 11 - Evanescent field effect-based nanobiosensors for agro-environmental and food safety -- 1 - Introduction -- 2 - Label-Free Optical Biosensor Techniques Based on Evanescent Field Effect -- 2.1 - Optical Waveguide-Based Sensor Structures -- 2.1.1 - Normal Symmetry Waveguide Sensors -- 2.1.2 - Reverse Symmetry Waveguide -- 2.1.3 - Metal-Clad Waveguide Sensors -- 2.1.4 - Resonant Mirror-Based Sensors -- 2.2 - Reflectance-Based Sensors -- 2.2.1 - Total Internal Reflectance Fluorescence -- 2.2.2 - Total Internal Reflection Ellipsometry -- 2.2.3 - Reflectometric Interference Spectroscopy -- 2.3 - Grating-Based Biosensors -- 2.3.1 - Incoupling Mode Sensors -- 2.3.1.1 - Optical Waveguide Lightmode Spectroscopy -- 2.3.1.2 - Tunable Wavelength Interrogated Sensor Technology -- 2.3.2 - Outcoupling Mode Sensors -- 2.3.2.1 - Light Pointer Based on Chirped Grating Couplers -- 2.3.2.2 - Wavelength-Interrogated Optical Sensor -- 2.3.2.3 - Resonant Waveguide Grating Sensors -- 2.4 - Interferometer-Based Biosensors -- 2.4.1 - Mach-Zehnder Interferometer -- 2.4.2 - Young's Interferometer -- 2.4.3 - Hartman Interferometer -- 2.5 - Optical Ring Resonator-Based Biosensors -- 2.5.1 - Optofluidic Ring Resonators -- 2.5.2 - Fluorescent Core Microcapillary Sensors -- 2.6 - Optical Fiber-Based Biosensors -- 2.7 - Lab-on-a-Chip Applications -- 3 - Nanobiosensor Applications for Agro-Environmental and Food Safety -- 3.1 - Nanobiosensors for Pesticide and Drug Residues and Their Indicator Proteins -- 3.2 - Nanobiosensors for Mycotoxins and Toxins in Foodstuff -- 3.3 - Nanotechnology-Based Microbial Sensors -- 3.4 - Multianalyte Nanobiosensor Instrumentation for Environmental and Food Analysis -- 4 - Conclusions -- Abbreviations -- Acknowledgments. References. EBL201805 Health Physics and Radiation Effects SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4709099 ebook n 201819 201805 21 PUBLIC https://catalogue.library.cern/legacy/2317739 BOOK MIGRATED 2317720 SzGeCERN 20210421204958.0 9780128032695 print version 9780128032701 electronic version electronic version oai:cds.cern.ch:2317720 cerncds:BOOK EBL 4538193 eng R857.M3 -- .O953 2016eb 610.28/4 Dziubla, Thomas Oxidative stress and biomaterials San Diego, CA Elsevier Science & Technology 2016 405 p ebook Woodhead Publishing series in biomaterials Title page -- Table of Contents -- Copyright -- List of Contributors -- Preface -- Chapter One. A Free Radical Primer -- Abstract -- 1.1 Free Radical Biology-Importance -- 1.2 RED/OX Chemistry -- 1.3 Biological Oxidation Events -- 1.4 Conclusion and Final Thoughts -- References -- Chapter Two. Oxidative Stress, Inflammation, and Disease -- Abstract -- 2.1 Introduction -- 2.2 ROS and Oxidative Stress: A Major Activator of Inflammatory Pathways -- 2.3 Inflammation: A Major Cause of Oxidative Stress -- 2.4 Oxidant Stress and Inflammation in Cellular Transformation, Apoptosis, and Necrosis -- 2.5 Exploring the Link Between Oxidative Stress and Inflammation and the Onset of Various Diseases -- 2.6 Antioxidants and Anti-Inflammatory Agents: Perspectives in Therapeutics -- 2.7 Conclusions and Perspectives -- Abbreviations -- References -- Chapter Three. Oxidative Stress, Inflammation, and the Corrosion of Metallic Biomaterials: Corrosion Causes Biology and Biology Causes Corrosion -- Abstract -- 3.1 Introduction -- 3.2 Oxidation, Reduction, and Tribocorrosion at Metallic Biomaterial Surfaces -- 3.3 Immune Cells, Inflammation, and ROS -- 3.4 Metal Ions and Wear Debris Effects on Local Tissues -- 3.5 Reduction Reactions and Cellular Viability -- 3.6 ICIC of CoCrMo and Ti Alloys: ROS Effects on Corrosion and Wear -- 3.7 Summary and Conclusions -- Acknowledgments -- References -- Chapter Four. Oxidative Stress and Biomaterials: The Inflammatory Link -- Abstract -- 4.1 Introduction -- 4.2 FBR to Biomaterials -- 4.3 Effect of Physicochemical Properties of Biomaterial on Inflammation -- 4.4 Relationship between Inflammation and Oxidative Stress -- 4.5 Oxidative Stress as By-Product of Inflammatory Response to Biomaterial -- 4.6 Impact of Oxidative Stress on Implanted Cells and Induction of Inflammation -- 4.7 Conclusion -- ReferenceS. Chapter Five. Nanoparticle Toxicity and Environmental Impact -- Abstract -- 5.1 Introduction -- 5.2 Nanotoxicology -- 5.3 Free Radicals, Reactive Oxygen Species, and Oxidative Stress -- 5.4 Nanoparticle-Induced ROS Generation and Oxidative Stress -- 5.5 Inflammation and Nanoparticles -- 5.6 Systemic Toxicity -- 5.7 Mechanisms of Nanoparticle Toxicity -- 5.8 Genotoxic Effects of Nanoparticles -- 5.9 Ecotoxicity of Nanoparticles and Its Environmental Impact -- 5.10 Conclusion -- Acknowledgments -- References -- Chapter Six. In Vitro Cellular Assays for Oxidative Stress and Biomaterial Response -- Abstract -- 6.1 Introduction to the In Vitro Cellular Assays -- 6.2 Choice of Cell Lines and Animal Models -- 6.3 "Real-Time" Cellular Assays for Detection of Oxidative Stress -- 6.4 Fluorescent Probes and Dyes Based Detections -- 6.5 Seahorse FX Technology Based Assays -- 6.6 EPR Methods -- 6.7 "Static" Assays for Detection of Oxidative Stress -- 6.8 Conclusion -- Abbreviations -- References -- Chapter Seven. Redox Interactions Between Nanomaterials and Biological Systems -- Abstract -- 7.1 Introduction -- 7.2 Oxidative Stress by Inorganic Nanomaterials -- 7.3 Oxidative Stress by Organic Nanomaterials -- 7.4 Oxidative Stress and Nanomaterial Surface Chemistry -- 7.5 Techniques for Evaluating Oxidative Stress Due to Nanomaterial Exposure -- Acknowledgments -- References -- Chapter Eight. Hydrocyanines: A Versatile Family of Probes for Imaging Radical Oxidants In Vitro and In Vivo -- Abstract -- 8.1 Introduction -- 8.2 The Hydrocyanines: A New Family of Fluorescent ROS Probes -- References -- Chapter Nine. Oxidation State as a Bioresponsive Trigger -- Abstract -- 9.1 Introduction -- 9.2 Oxidation-Responsive Polymer Systems: Phase Transition Versus Polymer Degradation -- 9.3 Utilizing Oxidation-Responsive Polymers in Drug Delivery. 9.4 Utilizing Oxidation-Responsive Polymers in Biodegradable Tissue Engineering Scaffolds -- 9.5 Conclusion -- References -- Chapter Ten. Antioxidant Polymers as Biomaterial -- Abstract -- 10.1 Introduction -- 10.2 Passive Delivery of Antioxidant Molecules by Polymers -- 10.3 Intrinsically Antioxidant Polymers: Nonenzymatic Antioxidants -- 10.4 Intrinsically Antioxidant Polymers: Enzymatic Antioxidants -- 10.5 Intrinsically Antioxidant Polymers: Metal-Chelating Polymers -- 10.6 In Vivo Oxidative Stress Modulation with Antioxidant Polymers -- 10.7 Conclusions and Perspectives -- References -- Chapter Eleven. Oxidation of Total Joint Implants and Antioxidant Strategies: Designing Implants for Oxidative Stress Resistance -- Abstract -- 11.1 A Brief History of Total Joint Implants -- 11.2 Oxidation Mechanisms of Total Joint Implants -- 11.3 In Vitro Simulation of Oxidation and Characterization -- 11.4 The Introduction of Antioxidants into Medical Grade UHMWPE -- 11.5 Conclusion -- References -- Chapter Twelve. Targeted Antioxidant Interventions for Vascular Pathologies -- Abstract -- 12.1 Introduction -- 12.2 Vascular Oxidative Stress and Inflammation in Dangerous Acute Conditions -- 12.3 Markers of Oxidative Stress and Inflammation -- 12.4 Antioxidant Interventions and Untargeted Delivery Systems -- 12.5 Targeted Delivery of AOEs -- 12.6 Conclusion: Challenges and Perspectives -- References -- Chapter Thirteen. Oral Mucositis as a Target for Antioxidant Biomaterial Therapy -- Abstract -- 13.1 Introduction -- 13.2 Pathophysiology of OM -- 13.3 Management and Treatment of OM -- 13.4 Oxidative Stress Management and Antioxidant Therapy for OM -- 13.5 A Case for Curcumin as an OM Therapeutic -- 13.6 Challenges with Curcumin Delivery -- 13.7 Advances in Curcumin Delivery Technologies -- 13.8 Curcumin Delivery from Poly(Beta-Amino Ester) Polymers. 13.9 Conclusion -- References -- Index. EBL201805 Health Physics and Radiation Effects SzGeCERN BOOK Butterfield, D Allan https://cds.cern.ch/auth.py?r=EBLIB_P_4538193 ebook n 201819 201805 21 PUBLIC https://catalogue.library.cern/legacy/2317720 BOOK MIGRATED 2317710 SzGeCERN 20210421205000.0 9783319251196 print version 9783319251219 electronic version electronic version oai:cds.cern.ch:2317710 cerncds:BOOK EBL 4458103 eng QE1-996.5GC1-1581GA1 526.0285 Finkl, Charles W Seafloor mapping along continental shelves research and techniques for visualizing benthic environments Cham Springer 2016 297 p ebook Coastal research library 13 Preface -- Contents -- Contributors -- Part I: Historical Development of Seafloor Mapping and Survey -- 1: History of Modern Seafloor Mapping -- 1.1 Introduction -- 1.2 Acoustic Remote Sensing Techniques -- 1.2.1 Sidescan Sonar -- 1.2.2 Echo Sounder Reflection (Single and Multibeam) and Seismic Mapping Techniques -- 1.2.2.1 Single Beam Reflection -- 1.2.2.2 MultiBeam Reflection -- 1.2.2.3 Seismic Reflection -- 1.3 Aerial Photography and Orthoimagery -- 1.4 Airborne Laser Bathymetry (ALB) -- 1.5 Satellite Imagery -- 1.6 Discussion -- 1.7 Conclusions -- References -- Part II: Environmental/Biological Survey of Coastal and Shelf Environments -- 2: Emerging Mapping Techniques for Autonomous Underwater Vehicles (AUVs) -- 2.1 Introduction -- 2.1.1 What Are Autonomous Underwater Vehicles? -- 2.1.2 What Is the State of AUV Development? -- 2.2 Applications of AUVs to Mapping for Different Purposes on the Continental Shelf -- 2.2.1 Benthic Habitats -- 2.2.2 Marine Geology -- 2.2.3 Fisheries -- 2.2.4 Turbulent Water Columns -- 2.2.5 Polar Region Continental Shelf Mapping -- 2.3 Discussion -- References -- 3: Remote Sensing Technologies for the Assessment of Marine and Coastal Ecosystems -- 3.1 Introduction -- 3.2 Status and Improvements for Assessment of Marine and Coastal Ecosystems -- 3.2.1 Remotely Sensed Data -- 3.2.2 Object-Based and Pixel-Based Classifications -- 3.2.3 What Needs to Be Improved -- 3.3 Management of Marine and Coastal Ecosystems Through RS Applications -- 3.3.1 Landscape Scale Analysis of Coastal Wetlands Health and Land Cover Changes -- 3.3.2 Integration RS in Natura 2000 Habitat Monitoring -- 3.3.3 Quantification of the Total Suspended Matter (TSM) Concentration in Case-2 Waters -- 3.3.4 Identification, Characterization and Analysis of River Plumes -- 3.3.5 Extraction of Estuarine/Coastal Sandy Bodies. 3.3.6 Beach Features/Patterns Identification -- 3.4 Discussion -- 3.5 Conclusions -- References -- 4: A Review of Remote Sensing Techniques for the Visualization of Mangroves, Reefs, Fishing Grounds, and Molluscan Settling Areas in Tropical Waters -- 4.1 Introduction -- 4.2 Mapping of Mangroves -- 4.2.1 Remote Sensing of Mangroves -- 4.2.1.1 Satellite Remote Sensing of Mangroves -- 4.2.1.2 Mangrove Distribution vis-à-vis SRS -- 4.2.1.3 Change Detection in Mangrove Areas Using SRS -- 4.2.2 Aerial Photography of Mangroves -- 4.2.3 Different Techniques Employed in Satellite Based Mangrove Mapping -- 4.2.3.1 Multispectral Sensor Based Mangrove Mapping -- 4.2.3.2 Hyperspectral Sensor and Radar Based Mapping of Mangroves -- 4.2.4 Scientific Protocols Followed for Mapping Mangroves -- 4.2.5 Pixel-Based Techniques -- 4.2.5.1 Object Based Classification -- 4.2.5.2 Fuzzy Classification -- 4.2.5.3 ISODATA Classification -- 4.2.5.4 Neural Network Classifications -- 4.2.5.5 Indices -- Relationship Between Biophysical Variables to Indices -- 4.3 Monitoring and Mapping of Reefs Using SRS Techniques -- 4.3.1 Mapping of Reef Vulnerability Due to Extreme Events -- 4.4 Mapping of Fishing Grounds -- 4.4.1 Identifying and Mapping Fish Habitats Using Oceanographic Processes -- 4.4.2 Role of Hydrodynamics in Assessing Fishing Ground -- 4.5 Remote Sensing of Molluscan Settling Grounds -- 4.5.1 Remote Sensing of Molluscs -- 4.5.2 Case Study: Mapping of Clam Beds in Vembanad Lake Using GIS, SRS and In Situ Data -- 4.6 Conclusion -- References -- 5: Remote Sensing of Submerged Aquatic Vegetation -- 5.1 Introduction and Background -- 5.2 Submerged Aquatic Vegetation (SAV) -- 5.3 Remote Sensing of SAV -- 5.4 Remote Sensing Models -- 5.5 Airborne Remote Sensing -- 5.6 Satellite Remote Sensing -- 5.7 Hyperspectral Imaging. 5.8 Acoustic Techniques -- 5.9 Summary and Conclusions -- References -- 6: Combining Cetacean Soundscape Ecology and Niche Modeling to Contribute in the Mapping of the Brazilian Continental Shelf -- 6.1 Introduction -- 6.1.1 Landscape Ecology -- 6.1.2 Soundscape Ecology -- 6.1.3 Animal Communication and Soundscape Ecology -- 6.1.4 Cetaceans and Sounds in the Marine Environment -- 6.2 Study Area -- 6.2.1 The American Continental Shelf and the Brazilian Coastal Zone -- 6.2.2 Importance and Impacts on the Continental Shelf -- 6.3 Methods -- 6.3.1 Long-Term Monitoring Program -- 6.3.2 Spectrographic Analyzes -- 6.3.3 Target Cetacean Species -- 6.3.3.1 The Bottlenose Dolphin -- 6.3.3.2 The Rough-Toothed Dolphin -- 6.3.3.3 The Guiana Dolphin -- 6.3.3.4 The Southern Right Whale -- 6.3.3.5 The Humpback Whale -- 6.3.4 Cetacean Records and Environmental Data -- 6.3.5 Ecological Niche Models (ENM) -- 6.4 Results -- 6.4.1 Soundscape Ecology -- 6.4.2 Ecological Niche Models -- 6.5 Discussion -- 6.5.1 Soundscape Ecology -- 6.5.2 Ecological Niche Modeling -- 6.6 Conclusions -- References -- Part III: Physical Surveys of Coasts and Seafloor Exploration on Continental Shelves -- 7: Global Overview of Continental Shelf Geomorphology Based on the SRTM30_PLUS 30-Arc Second Database -- 7.1 Introduction -- 7.1.1 Shelf Geomorphic Features and Metrics -- 7.1.2 Aims of the Present Study -- 7.2 Materials and Methods -- 7.2.1 Shuttle Radar Topography Mapping 30-Arc Second Database -- 7.2.2 Multivariate Analysis of Shelf Geomorphic Features -- 7.3 Results -- 7.3.1 Cluster Analysis and Principle Components Analysis -- 7.3.2 Narrow/Shallow Shelves -- 7.3.3 Wide/Flat Shelves -- 7.3.4 Deep, Glacially-Incised Shelves -- 7.3.5 Intermediate Shelves -- 7.4 Discussion -- 7.4.1 Processes Controlling Shelf Geomorphology. 7.4.2 Problems with Measuring Shelf Width -- 7.4.3 Relationship between Sea Level and the Depth of the Shelf and Shelf Break -- 7.4.4 Towards a Global Geomorphic Classification of Continental Shelves -- 7.5 Conclusions -- References -- 8: Seismic Profiling of the Seabottoms for Shallow Geological and Geotechnical Investigations -- 8.1 Introduction -- 8.2 Methodology -- 8.2.1 Deep Seismic Investigations -- 8.2.1.1 Seismic Equipment -- 8.2.1.2 Processing and Interpretation of Seismic Data -- 8.2.2 Shallow Seismic Investigations (Seismoacoustic Research) -- 8.2.2.1 Equipment -- 8.2.2.2 Interpretation of Seismoacoustic Data -- 8.3 Seismic Profiling for Geological Investigations -- 8.3.1 Geological Structure of the Sub-­quaternary Bedrock -- 8.3.2 Structure of the Quaternary Deposits -- 8.4 Seismic Profiling for Geotechnical Investigations -- 8.4.1 Geotechnical Characteristics of the Direct Seabottom -- 8.4.2 Geotechnical Characteristics of the Soil Substrate on the Depth of 10 m below Seabottom -- 8.4.3 Geotechnical Characteristics of the Soil Substrate on the Depth of 20 m below Seabottom -- 8.5 Conclusions -- References -- 9: Using Multibeam and Sidescan Sonar to Monitor Aggregate Dredging -- 9.1 Introduction -- 9.1.1 Monitoring Using Remote Sensing Visualization -- 9.2 The Study Area -- 9.3 Bathymetric Monitoring -- 9.3.1 Rationale for Monitoring -- 9.3.2 Equipment Used -- 9.3.3 Monitoring Results and Outcomes -- 9.4 Seabed Habitat Monitoring -- 9.4.1 Rationale for Monitoring -- 9.4.2 Equipment Used -- 9.4.3 Monitoring Results and Outcomes -- 9.5 Archaeological Monitoring -- 9.5.1 Rationale for Monitoring -- 9.5.2 Monitoring Results and Outcomes -- 9.6 Conclusions -- References -- 10: Landscape-Level Imaging of Benthic Environments in Optically-Deep Waters -- 10.1 Introduction -- 10.2 Seabed AUV. 10.3 Case Studies -- 10.3.1 Shelf-Edge Coral Reefs -- 10.3.2 Mesophotic Reefs -- 10.3.3 Deep Coral Ecosystems -- 10.4 ROV Video Surveys -- 10.5 Discussion -- References -- 11: Terrestrial Laser Scanner Techniques for Enhancement in Understanding of Coastal Environments -- 11.1 Introduction -- 11.2 Background -- 11.3 Extended Usage of Terrestrial Laser Scanner Data -- 11.3.1 High Density of Measurements -- 11.3.2 Laser Return Parameters -- 11.3.2.1 Surface Moisture Content -- 11.3.2.2 Geological Classification -- 11.3.3 Color Information -- 11.4 Case Study: Barrier Evolution on a Composite Beach -- 11.4.1 Use of Color Information -- 11.4.2 Use of High Density Point Data -- 11.5 Discussion -- 11.6 Conclusions -- References -- Index. EBL201805 Astrophysics and Astronomy SzGeCERN BOOK Makowski, Christopher https://cds.cern.ch/auth.py?r=EBLIB_P_4458103 ebook n 201819 201805 21 PUBLIC https://catalogue.library.cern/legacy/2317710 BOOK MIGRATED 2317699 SzGeCERN 20210421205000.0 9781498708258 print version 9781498708272 electronic version electronic version oai:cds.cern.ch:2317699 cerncds:BOOK EBL 4202137 eng TK7874.C746 2016 621.3/81 Cressler, John D Silicon earth introduction to microelectronics and nanotechnology 2nd ed. London Chapman and Hall/CRC 2016 618 p ebook Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface to the Second Edition -- Preface to the First Edition -- Author -- 1: The Communications Revolution -- The Big Picture -- The Evolution of Human Communications -- Doomsday Scenarios -- Global Information Flow -- Evolutionary Trends: Moore’s Law -- Silicon: The Master Enabler -- Micro/Nanoelectronics at the State of the Art: Nanoscale CMOS -- A Parting Shot -- Time Out: Gut Check on Your Comprehension -- References and Notes -- 2: A Matter of Scale -- The Tyranny of Numbers -- “Seeing” versus “Imaging” the Infinitesimal -- The Distance Scale of the Universe -- The Micro/Nanoelectronics Distance Scale -- The Time and Frequency Scales of Micro/Nanoelectronics -- The Temperature and Energy Scales of Micro/Nanoelectronics -- Seeing Is Believing? -- Time Out: Gut Check on Your Comprehension -- References and Notes -- 3: Innumerable Biographies: A Brief History of the Field -- What History Can Teach Us -- The Uniqueness of Microelectronics -- The Shoulders We Stand On: Some Giants of Electrical Engineering -- The Invention/Discovery of the Transistor -- Newsflash! -- How the West Was Won -- The Integrated Circuit -- Not Invented Here -- The Rest of the Story -- Time Out: Gut Check on Your Comprehension -- References and Notes -- 4: Widget Deconstruction #1: Smartphone -- With a Broad Brush -- Nuts and Bolts -- Where Are the Integrated Circuits and What Do They Do? -- Time Out: Gut Check on Your Comprehension -- References and Notes -- 5: Semiconductors: Lite! -- What Are Semiconductors? -- What Makes Semiconductors So Special? -- Types of Semiconductors -- Crystal Structure -- Energy Bands -- Electrons and Holes in Semiconductors -- Doping -- Drift and Diffusion Transport -- Carrier Drift -- Carrier Diffusion -- Generation and Recombination. The Semiconductor Equations of State -- Time Out: Gut Check on Your Comprehension -- References -- 6: Widget Deconstruction #2: USB Flash Drive -- With a Broad Brush -- Nuts and Bolts -- Hard Disk Drives -- RAM -- ROM -- Flash Memory -- Where Are Integrated Circuits and What Do They Do? -- Time Out: Gut Check on Your Comprehension -- References and Notes -- 7: Bricks and Mortar: Micro/Nanoelectronics Fabrication -- The IC Fabrication Facility (aka “the Cleanroom”) -- Crystal Growth and Epitaxy -- Semiconductor Crystals -- Epitaxy -- Doping: Diffusion, Implantation, and Annealing -- Oxidation and Film Deposition -- Etching and Polishing -- Photolithography -- Metalization and Interconnects -- Building a Transistor -- IC Packaging: Wirebonds, Cans, DIPs, and Flip-Chips -- 3D ICs, TSVs, and SoPs -- Reliability -- Time Out: Gut Check on Your Comprehension -- References -- 8: Transistors: Lite! -- The Semiconductor Device Menagerie -- Why Are Transistors So Darn Useful? -- Loss -- Gain -- The pn Junction -- What Is It? -- How Does It Work? -- The BJT -- What Is It? -- How Does It Work? -- What Does It Do for You? -- The MOSFET -- What Is It? -- How Does It Work? -- What Does It Do for You? -- X-Men Transistors -- HBTs -- HFETs -- Time Out: Gut Check on Your Comprehension -- References and Notes -- 9: From Transistors to Circuits to Systems -- Building Circuits and Systems from Transistors -- IC Tape-Out: Machines Designing Machines -- Software -- Time Out: Gut Check on Your Comprehension -- References -- 10: Microtools and Toys: MEMS, NEMS, and BioMEMS -- Micro-Intuition and the Science of Miniaturization -- MEMS Classifications -- A Grab Bag of MEMS Toys -- Micromachining Silicon -- Bulk Micromachining -- Surface Micromachining -- Cool App #1: MEMS Accelerometers -- Cool App #2: MEMS Micromirror Displays -- Cool App #3: BioMEMS and Lab-on-a-Chip. So What Comes Next? -- Time Out: Gut Check on Your Comprehension -- References and Notes -- 11: Widget Deconstruction #3: GPS -- With a Broad Brush -- A Brief History of GPS -- Nuts and Bolts -- Where Are the Integrated Circuits and What Do They Do? -- Time Out: Gut Check on Your Comprehension -- References and Notes -- 12: Let There Be Light: The Bright World of Photonics -- Let There Be Light! -- Spectral Windows -- Getting Light In and Out of Semiconductors -- Optical Absorption -- Optical Emission -- Direct versus Indirect Bandgap Materials -- Photodetectors and Solar Cells -- Photodetectors -- Solar Cells -- CCD Imagers, CMOS Imagers, and the Digital Camera -- CCD Imagers -- CCD versus CMOS Imagers -- LEDs, Laser Diodes, and Fiber Optics -- LEDs -- Semiconductor Laser Diodes -- Optical Gain -- Feedback -- Laser Perks, Drawbacks, and Future Directions -- Fiber Optics -- CDs, DVDs, and Blu-Ray -- Time Out: Gut Check on Your Comprehension -- References and Notes -- 13: The Future of Electronics -- Darwinian Evolution in Micro/Nanoelectronics, and the End of the Silicon Road -- Carbon Engineering: Buckyballs, Nanotubes, and Graphene -- Forsaking Group IV: Zinc Oxide and Black Phosphorus -- Bend and Flex: The World of Organics -- Ferroelectric Memory, Memristors, Phase Change Memory, and Spintronics -- Quantum Computing -- Time Out: Gut Check on Your Comprehension -- References -- 14: The Nanoworld: Fact and Fiction -- Nanotech -- Say What You Mean and Mean What You Say: Nanotech Definitions -- Emerging Nanoapps and Humans 2.0 -- Time Out: Gut Check on Your Comprehension -- References and Notes -- 15: Societal Impact -- The Internet -- e-Addictions -- Computer Gaming -- Genomics -- e-Education -- Social Media -- e-Politics -- Environmental Impact -- e-Books and Libraries -- A Grab Bag of Issues -- Time Out: Gut Check on Your Comprehension. References -- Appendix A: Properties of Silicon -- Appendix B: Some Basic Concepts from Physics and Electrical Engineering -- Appendix C: A Grab-Bag Glossary of Useful Techno-Geek Terms and Acronyms -- Index. EBL201805 SzGeCERN Engineering BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4202137 ebook 201805 n 201819 21 PUBLIC https://catalogue.library.cern/legacy/2317699 BOOK MIGRATED 2317667 SzGeCERN 20210421205002.0 9780128029992 print version 9780128030028 electronic version electronic version oai:cds.cern.ch:2317667 cerncds:BOOK EBL 1987874 eng QD533 -- .Y397 2015eb 536/.44 Yaws, Carl L The Yaws handbook of vapor pressure Antoine coefficients 2nd ed. Saint Louis, MO Elsevier Science & Technology 2015 336 p ebook Cover -- Title Page -- Copyright Page -- Contents -- Contributors -- Acknowledgments -- Disclaimer -- About the Authors -- Chapter 1 - Vapor Pressure - Organic Compounds -- Tabulation results -- Example -- Chapter 2 - Vapor Pressure - Inorganic Compounds -- Tabulation results -- Example -- References -- Index. Increased to include over 25,000 organic and inorganic compounds, The Yaws Handbook of Vapor Pressure: Antoine Coefficients, 2nd Edition delivers the most comprehensive and practical database source for today's petrochemical. Understanding antoine coefficients for vapor pressure leads to numerous critical engineering applications such as pure components in storage vessels, pressure relief valve design, flammability limits at the refinery, as well as environmental emissions from exposed liquids, making data to efficiently calculate these daily challenges a fundamental need. Written by the world's leading authority on chemical and petrochemical data, The Yaws Handbook of Vapor Pressure simplifies the guesswork for the engineer and reinforces the credibility of the engineer's calculations with a single trust-worthy source. This data book is a must-have for the engineer's library bookshelf. Increase compound coverage from 8,200 to over 25,000 organic and inorganic compounds, including sulfur and hydrocarbons Solve process design questions quickly from a single reliable data source Locate answers easily for multiple petrochemical related questions such as bubble point, dew point temperatures, and vapor-liquid equilibrium. EBL201805 SzGeCERN Other Fields of Physics BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1987874 ebook 201805 n 201819 21 PUBLIC https://catalogue.library.cern/legacy/2317667 BOOK MIGRATED 2317655 SzGeCERN 20191219215655.0 9780750605366 print version 9781483141718 electronic version electronic version oai:cds.cern.ch:2317655 cerncds:BOOK EBL 1874638 eng NA9095 .M35 2014 621.3893 Hayward, Richard Making better places urban design now Kent Elsevier Science & Technology 2013 173 p ebook Front Cover -- Making Better Places: Urban Design Now -- Copyright Page -- Table of Contents -- JOINT CENTRE FOR URBAN DESIGN -- ACKNOWLEDGEMENTS -- INTRODUCTION -- SECTION ONE: PROCESSES AND PRODUCTS:PRACTICES AND THEORIES -- CHAPTER 1. REVIEWING THE RHETORIC -- Introduction -- The Emergence of Urban Design in Britain -- The Rhetoric of Urban Design -- Making a 'Powergram' for Urban Design -- Developing the Legitimacy of Urban Design -- Conclusions -- CHAPTER 2. DEVELOPING DESIGN SKILLS FOR DEVELOPMENT CONTROLLERS -- Introduction -- Design Skills - Architects',Planners' and Public Views -- The Shortage of Design Skills -- Planning and Design Education -- Visualisation Skills -- Site Analysis and Development Briefing -- Public Consultation -- Understanding and Articulating One's Own Values -- Architectural Intentions and Inspirations -- Understanding Architecture -- The Value of Architectural Criticism -- The Need to Travel and the Value of Precedent -- Reading Design Texts -- Learning from Experiences -- Conclusions - The Need for Self-Education in Design -- CHAPTER 3. RATIONALES AND THE PRACTICE OF EVERYDAY URBAN DESIGN -- CHAPTER 4. TALKING TISSUES -- CHAPTER 5. THE ONTOLOGY OF THE BUILT ENVIRONMENT:THE PRODUCTION OF PLACES AND BUILDINGS IN A CULTURE OF HISTORICAL AMNESIA -- CHAPTER 6. CONSUMING THE SIGN VALUE OF URBAN FORM -- Introduction -- Urban Form and the Appropriation and Exchange of Sign Value -- The Illusory Qualities of the Sign -- Creating the Market for the Exchange of Sign Value -- Style, Culture and the Creation of Sign Value -- Signs Manifest within the Characteristics of Late Industriar' Urban Form -- Urban Design and the Commodification of the Public Realm -- Beyond Sign Value: Developing Social Life in Urban Public Space -- CHAPTER 7. AESTHETICS AND URBAN DESIGN -- Introduction. The Extent of Aesthetic Concerns in Urban Design -- Aesthetic Approaches to Urban Design -- Problems With These Approaches -- Aesthetic Values -- Aesthetics and Urban Design as Problematic -- Socio-Aesthetics -- Conclusion -- SECTION TWO: ISSUES OF URBAN CHANGE IN ESTABLISHED CENTRES -- CHAPTER 8. URBAN DESIGN OF CENTRAL AREAS AND BEYOND -- The Success of Urban Quarters -- Who Wins and Who Loses? -- Design in the Evolving Urban System -- Temporal and Spatial Management of Visitors -- Sharing Public Spaces -- Suburban and Peripheral Quarters -- The Multi-Image/Multi-Centre Urban Space -- CHAPTER 9. THE SUBURBANISATION AND RE-URBANISATION OF THE RESIDENTIAL INNER CITY -- CHAPTER 10. THE ART OF BUILDING CITIES: URBAN STRUCTURING AND RESTRUCTURING -- CHAPTER 11. COMMUNITY DEVELOPMENT AND URBAN DESIGN -- SECTION THREE: THE URBAN FRINGE AND BEYOND -- CHAPTER 12. URBAN EXPANSION: LOOK BACK AND LEARN -- Technology, Transport and Town Form -- Fine Grain Mixed-use Town:Towards a Definition. -- The Fundamentals of Good Mixed-use -- CHAPTER 13. THE BUILT FORM OF THE NEW REGIONAL CITY: A RADICAL' VIEW -- 'Conservative' Versus 'Radical' Reformers -- The Character of the New Regional City -- Conclusion -- CHAPTER 14. WORKING IN THE PARK: CHANGES IN THE FORM OF EMPLOYMENT LOCATIONS -- Changing Context -- A Taxonomy of Parks -- Business Parks in Britain -- Science Parks in the US -- Science Parks in Britain -- French Technopoles -- Management -- Master Planning -- Conclusion -- SECTION FOUR: DOING IT -- CHAPTER 15. THE PLAN D'OCCUPATION DES SOLS FOR ASNIÉRES SUR OISE: A MORPHOLOGICAL DESIGN GUIDE -- Asniéres sur Oise -- The Development Control System -- The 1987 POS -- THE 1992 POS -- The Rapport de Présentation -- The Réglement -- Conclusions -- CHAPTER 16. TRAFFIC CALMING: THE SECOND WAVE? -- Dynamic Traffic Calming -- Traffic Calming: Controlling Behaviour. Children's Play Spaces Located in Areas where Cars Park -- Pedestrians Invited to Accept Priority on the Road -- Cyclists Invited to Accept Priority on the Road -- Providing for Servicing and Parking in the Centre of Streets -- Prevention of Overtaking when Public Transport Picks Up Passengers -- Prevention of Overtaking on the Open Road -- Conclusion -- CHAPTER 17. COMPUTER AIDED DESIGN AS AN URBAN DESIGN BRIEFING TOOL -- CHAPTER 18. UPSIDE DOWN AND INSIDE OUT -- BIBLIOGRAPHY -- INDEX. Making Better Places: Urban Design Now discusses how to make better places: how monotonous or rich urban development can be, how appropriate to traffic requirements urban improvements are, or how sustainable an urban design approach can be to existing and future urban dispersal. The book reviews the gap existing between the various environmental disciplines leading to the emergence of urban design; as well as the gap between the rhetoric and practical achievements of urban design. The practice of urban design entails the premise that environments are to be created and transformed to provide the most opportunities for the largest number of people. By using an urban tissue plan, the urban developmental planner can produce and evaluate site development appraisal and design proposals. The book also provides an abstract perspective that considers built forms as a set of signs to provide a mechanism which shows the modification of urban space. The text also addresses the issue of urban change in established centers, the urban fringe and beyond, as well as cites four examples of exploration by intervention. The book can prove beneficial to urban planners, sociologists, and policy makers involved in urban and social development. EBL201805 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1874638 ebook n 201819 201805 21 PUBLIC BOOK DELETED 2317651 SzGeCERN 20191219215654.0 9780080235974 print version 9781483147109 electronic version electronic version oai:cds.cern.ch:2317651 cerncds:BOOK EBL 1838638 eng TD174 .R74 2014 614.7 Royston, Michael G Pollution prevention pays Cambridge, MA Elsevier Science & Technology 2013 214 p ebook Front Cover -- Pollution Prevention Pays -- Copyright Page -- Table of Contents -- Dedication -- Acknowledgements -- Foreword -- Part I: What Development Lays Down -- Chapter 1. Pollution and society -- Further reading -- Chapter 2. Development and the environment -- Further reading -- Chapter 3. The cost of pollution -- (i) Introduction -- (ii) The costs of air, water and noise pollution -- (iii) The medical cost of a polluted environment -- (iv) Profit and loss: The impact of pollution control on the bottom line of the balance sheet -- Further reading -- Chapter 4. Managers, objectives and the environment -- Further reading -- Part II: How the Enterprises Answer -- Chapter 5. Conflict and survival -- Further reading -- Chapter 6. Concern as a factor for growth -- Further reading -- Chapter 7. Non-waste technology -- Further reading -- Part III: Why the Technocrats Fail -- Chapter 8. Versions of pollution control -- Further reading -- 9. Benefits: the missed pay-off -- Further reading -- Part IV: Where to Go Now -- Chapter 10. The integrated approach -- Further reading -- Chapter 11. Action programmes for the community, for government, and for industry -- 1. For the community -- 2. For government -- 3. For industry -- Chapter 12. Alternatives: the right to a clean environment -- Epilogue -- Index of non-waste technology. Pollution Prevention Pays. EBL201805 Health Physics and Radiation Effects SzGeCERN EBL Environmental protection -- Economic aspects BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1838638 ebook n 201819 201805 21 PUBLIC BOOK DELETED 2317621 SzGeCERN 20180822202549.0 9780749462680 (electronic bk.) electronic version electronic version 9780749447489 9780749447489 print version oai:cds.cern.ch:2317621 cerncds:BOOK EBL 1690890 eng QA76.9 .A25 005.8 Calder, Alan International IT governance an executive guide to ISO 17799/ISO 27001 London Kogan Page 2006 384 p Intro -- Copyright -- Table of contents -- How to use this book -- Acknowledgments -- Introduction -- 1. Why is information security necessary? -- 2. Sarbanes-Oxley and regulatory compliance -- 3. Information security standards -- 4. Organizing information security -- 5. Information security policy and scope -- 6. The risk assessment and Statement of Applicability -- 7. External parties -- 8. Asset management -- 9. Human resources security -- 10. Physical and environmental security -- 11. Equipment security -- 12. Communications and operations management -- 13. Controls against malicious software (malware) and back-ups -- 14. Network security management and media handling -- 15. Exchanges of information -- 16. Electronic commerce services -- 17. E-mail and internet use -- 18. Access control -- 19. Network access control -- 20. Operating system access control -- 21. Application access control and teleworking -- 22. Systems acquisition, development and maintenance -- 23. Cryptographic controls -- 24. Security in development and support processes -- 25. Monitoring and information security incident management -- 26. Business continuity management -- 27. Compliance -- 28. The ISO/IEC 27001 audit -- Useful websites -- Further reading -- Index. International IT Governance is an executive guide to information security focusing on the International Standard which replaces the British Standard in November this year. Watkins, Steve https://cds.cern.ch/auth.py?r=EBLIB_P_1690890 ebook ebook EBL Business enterprises -- Computer networks -- Security measures EBL Computer security EBL201805 SzGeCERN Computing and Computers BOOK n 201819 21 PUBLIC BOOK DELETED 2317612 SzGeCERN 20190321204924.0 9781780630588 (electronic bk.) electronic version 9781843340454 electronic version 9781843340454 print version oai:cds.cern.ch:2317612 cerncds:BOOK EBL 1640128 eng KD51.P478 2003eb 025.0634941 Pester, David Finding legal information a guide to print and electronic sources Witney Elsevier Science & Technology 2003 308 p ebook Chandos information professional Front Cover -- Finding Legal Information: A Guide to Print and Electronic Sources -- Copyright Page -- Table of Contents -- Dedication -- Introduction -- List of abbreviations -- About the author -- Part 1: General and Primary Material -- Chapter 1. Primary and secondary material explained -- Chapter 2. Primary material -- Law reports -- Statutes, Bills, statutory instruments -- Chapter 3. Secondary material -- Legal journals -- Academic journals -- Electronic sources of journals -- Finding journals -- General online services -- General websites -- Finding tools and law dictionaries -- Chapter 4. Legal research, using law libraries, law librarianship and teaching law -- Books -- Journals -- Websites -- Chapter 5. Information on the legal profession -- Books -- Journals -- Online services -- Websites -- Part 2: Topics -- Chapter 6. Introduction -- Chatper 7. The law, legal history and the legal system -- Books -- Journals -- Websites -- Chapter 8. Conflict of laws -- Books -- Journals -- Websites -- Chapter 9. Constitutional and administrative law -- Books -- Law reports -- Journals -- Websites -- Chapter 10. Human rights -- Books -- Law reports -- Journals -- Online services -- Websites -- Chapter 11. Immigration law -- Books -- Law reports -- Journals -- Online services -- Websites -- Chapter 12. Public revenue and taxation law -- Books -- Law reports -- Journals -- Online services -- Websites -- Chapter 13. Employment and industrial relations law -- Books -- Law reports -- Journals -- Online services -- Websites -- Chapter 14. Environmental law -- Books -- Law reports -- Journals -- Websites -- Chapter 15. Planning law -- Books -- Law reports -- Journals -- Websites -- Chapter 16. Internet and computer law -- Books -- Law reports -- Journals -- Websites -- Chapter 17. Criminal law -- Books -- Law reports -- Journals -- Online services. Websites -- Chapter 18. Civil procedure and the courts -- Books -- Law reports -- Journals -- Online services -- Websites -- Chapter 19. Family law -- Books -- Law reports -- Journals -- Online services -- Websites -- Chapter 20. Contract law -- Books -- Chapter 21. Tort -- Books -- Law reports -- Journals -- Online services -- Websites -- Chapter 22. Equity and trusts -- Books -- Websites -- Chapter 23. Property law -- Books -- Law reports -- Journals -- Online services -- Websites -- Chapter 24. Landlord and tenant law -- Books -- Law reports -- Journals -- Chapter 25. Intellectual property and media law -- Books -- Law reports -- Journals -- Websites -- Chapter 26. Wills, probate and the administration of estates -- Books -- Websites -- Chapter 27. Company and partnership law -- Books -- Law reports -- Journals -- Websites -- Chapter 28. Business law -- Books -- Law reports -- Journals -- Online services -- Websites -- Chapter 29. Consumer law -- Books -- Journals -- Websites -- Chapter 30. Banking and financial services -- Books -- Law reports -- Journals -- Online services -- Websites -- Chapter 31. Insurance law -- Books -- Chapter 32. European law -- Books -- Law reports -- Legislation -- Finding tools -- Journals -- Online services -- Websites -- Chapter 33. International law -- Books -- Law reports -- Journals -- Finding tools -- Websites -- Appendix: Legal publishers and Internet bookshops -- Legal publishers -- Internet bookshops -- Indexes -- Index of online services -- Index of websites -- Index of authors, editors and contributors -- Index of titles. Given the vast amount of legal information available, it is sometimes very difficult - and certainly very time consuming - to know where to start looking for the specific information you require. This book, covering the most up-to-date information sources (printed and electronic), helps guide the reader towards the information they need. It is an accessible and easy-to-use directory of legal information sources for librarians, lawyers, students and anyone needing legal information. The book covers mainly British and European Union law and includes general material and the main subject areas, including online and internet sources. It also lists reference material, such as legal dictionaries and directories. The book is essentially a directory of information sources, with publishing details (including ISBN), and short comments where useful. Electronic sources are mentioned where relevant, with details of scope and any limitations of coverage. Comprehensive and up-to-date (covering electronic sources and important legal developments, including civil procedure and human rights) Covers the massive expansion of information on the web and online services Based on the author's considerable experience - thus, he has gained a detailed and wide ranging understanding and appreciation of users' needs and areas of interest. EBL201805 Information Transfer and Management SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1640128 ebook n 201819 21 PUBLIC BOOK DELETED 2317604 SzGeCERN 20190321204924.0 9781783091560 (electronic bk.) electronic version 9781783091553 electronic version 9781783091553 print version oai:cds.cern.ch:2317604 cerncds:BOOK EBL 1639086 eng PE1130.C4 -- .P49 2014eb 428.24071151 Peng, Jian-E Willingness to communicate in the chinese efl university classroom an ecological perspective Bristol Channel View Publications 2014 220 p ebook Second language acquisition 76 Intro -- Contents -- Figures and Tables -- Abbreviations -- Acknowledgements -- Part 1 The Research of Willingness to Communicate in a Second Language -- 1 Introduction -- 2 Hybrid Perspectives on WTC in an L2 -- Part 2 The Big Picture: Interrelationships between WTC, Communication Confi dence, Motivation, Learner Beliefs and Classroom Environment (Phase 1: Questionnaire Survey) -- 3 Dimensions of WTC, Confidence, Motivation, Beliefs and Classroom Environment -- 4 Interrelationships between WTC, Confidence, Motivation, Beliefs and Environment on WTC: A Full Structural Model -- Part 3 A Situated Lens: WTC Fluctuations over Time and Across Classroom Situations(Phase 2: A Multiple-Case Study) -- 5 Four Cases and their WTC Fluctuations -- 6 Distal and Proximal Influences on WTC Fluctuations -- Part 4 Blending 'Apple Juice' and 'Orange Juice': Integration of Overall Findings -- 7 WTC Inside the Language Classroom and Beyond -- 8 Concluding Remarks -- Appendix 1: Factor Loadings -- Appendix 2: Questionnaire -- Appendix 3: Correlation Matrix for the Structural Model -- Appendix 4: Interview Guide -- Appendix 5: Classroom Observation Scheme -- Appendix 6: Learning Journa lFramework -- Appendix 7: Coding Scheme -- References -- Index. This book integrates the findings of a quantitative study with a qualitative multiple case study to provide insights into students' willingness to communicate within a Chinese EFL context. It presents an ecological model of WTC to further the understanding of the interaction of individual and environmental factors inside and beyond the classroom. EBL201805 Other Subjects SzGeCERN EBL Classroom management -- China EBL Communication in foreign language education -- China EBL English language -- Study and teaching -- China EBL English language -- Study and teaching -- Chinese speakers -- Social aspects -- China EBL English language -- Study and teaching -- Chinese speakers BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1639086 ebook n 201819 201805 21 PUBLIC BOOK DELETED 2317567 SzGeCERN 20180920202616.0 9780124165885 (electronic bk.) electronic version 9780124165847 electronic version EBL 1341845 eng TJ930.S56 2013eb 621.8672 Singh, Ramesh Arctic pipeline planning design, construction, and equipment Saint Louis, MO Elsevier Science & Technology 2013 137 p Front Cover -- Arctic Pipeline Planning -- Copyright Page -- Dedication -- Contents -- Preface -- Acknowledgment -- 1 History of Construction in the Arctic -- 1 Introduction -- 1.1 Introduction and Background to Design and Construction of Arctic Pipeline -- 1.2 Typical Challenges -- 1.3 Current Arctic Proposals -- 1.4 Technology Transfer to Other Areas of the World -- 1.5 Offshore Pipelines in the Arctic Area -- 2 Design and Construction -- 2.1 Introduction to the Arctic Environment -- 2.2 Addressing the Challenges of Design -- 2.3 Challenges of Designing Arctic Pipeline -- 2.4 River and Waterway Crossings -- 2.5 Calculations for Design -- 2.6 Examples of Calculation -- 2.7 Expansion and Flexibility -- 2.8 Unsupported Span of Pipe -- 2.9 Buoyancy of Pipes -- 2.10 Calculating the Stresses in the Pipe at the Transition from Belowground to Aboveground -- 2.11 First Scenario, Reducing Stresses Without Anchor Block -- 2.12 Second Scenario, Reducing Stresses with Anchor Block -- 2.13 Strain-Based Design -- 2.14 Construction Methods -- 2.15 Protection of Tundra -- 2.16 Grade and Slopes -- 2.17 Construction in Warm Permafrost -- 2.18 Design and Construction in Thaw Settlement of Gas Pipeline -- 2.19 Ditching and Backfilling -- 2.20 Control Valves -- 2.21 Pumps for Crude Oil Pipelines -- 2.22 Designing and Construction to Deter Ice Gouging -- 2.23 Design and Construction for Subsea Arctic Pipelines -- 2.24 Design and Construction of Pipeline Crossings -- 2.25 Thermal Expansion and Contraction -- 2.25.1 Addressing Thermal Expansion and Contraction of Pipeline -- 2.26 Design of Compressors and Pump Stations -- 2.27 Design of Compressor Stations -- 2.27.1 Compressor Building Exits -- 2.28 Designing a Gas Compressor Unit -- 2.29 Liquid-Removal Equipment -- 2.30 Emergency Shutdown Facilities -- 2.31 Station Piping -- 2 Safety and Communication. 3 Safety on Construction Sites -- 3.1 Hazards to Construction Workers -- 3.2 Applicable Safety Regulations -- 4 Pipeline System Communication -- 4.1 System Concepts -- 4.2 The Human-Machine Interface -- 4.3 Hardware Solutions -- 4.4 Remote Terminal Unit -- 4.5 Supervisory Station -- 4.6 Communication Infrastructure and Methods -- 4.7 SCADA System for Typical Gas Pipeline -- 4.8 SCADA Operator Workstations -- 4.9 SCADA Servers -- 4.10 Selection of Software -- 4.11 Communication Infrastructure Security -- 4.12 Typical Codes and Standards -- 4.12.1 API -- 4.12.2 ANSI -- 4.12.3 NEMA -- 4.12.4 IEC -- 4.12.5 ISA -- 5 Electrical Equipments -- 5.1 Introduction -- 5.2 Design of Electrical Equipment -- 5.3 Conductor Size -- 3 Selection of Materials -- 6 Introduction to the Material Selection -- 7 Material Properties in Low Temperature Environment -- 7.1 Ductility and Behavior of Steel in A Low Temperature Environment -- 7.2 Concept of Toughness and Loss of Toughness in a Low Temperature Environment -- 7.3 Fracture Toughness Kc -- 7.4 Metal Strength at Low Temperature -- 7.5 Types of Impact Tests -- 7.6 Energy Absorption in Impact Testing -- 7.7 Transition Temperature for Energy Absorption -- 7.8 Transition Temperature for Lateral Expansion -- 7.9 Drop-Weight Tear Test (DWTT) -- 7.10 Selecting Material from Specification and Code Books -- 8 Line Pipes -- 8.1 Metallurgical Considerations for Line Pipe Steel -- 8.2 Submerged Arc Welded Line Pipes -- 8.3 Classification of Line Pipes -- 8.4 PSL 1 vs. PSL 2 -- 8.5 Determination of Percentage Shear Through DWT Test for PSL 2 Welded Pipes -- 8.6 Ordering a Line Pipe -- 8.7 Pipes from Other Specifications -- 9 Fittings and Forgings -- 9.1 ASME/ANSI B16.5-Pipe Flanges and Flanged Fittings -- 9.2 ASME/ANSI B16.9-Factory-Made Wrought Steel Butt Welding Fittings. 9.3 ASME/ANSI B16.11-Forged Steel Fittings, Socket Welding and Threaded Connections -- 9.4 ASME/ANSI B16.14-Ferrous Pipe Plugs, Bushings and Locknuts with Pipe Threads -- 9.5 ASME/ANSI B16.20-Metallic Gaskets for Pipe Flanges Ring-Joint, Spiral-Wound, and Jacketed -- 9.6 ASME/ANSI B16.21-Nonmetallic Flat Gaskets for Pipe Flanges -- 9.7 ASME/ANSI B16.25-Butt Welding Ends -- 9.8 ASME/ANSI B16.28-Wrought Steel Butt Welding Short Radius Elbows and Returns -- 9.9 ASME/ANSI B16.36-Orifice Flanges -- 9.10 ASME/ANSI B16.39-Malleable Iron Threaded Pipe Unions -- 9.11 ASME/ANSI B16.42-Ductile Iron Pipe Flanges and Flanged Fittings, Classes 150 and 300 -- 9.12 ASME/ANSI B16.47-Large Diameter Steel Flanges: NPS 26 through NPS 60 -- 9.13 ASME/ANSI B16.48-Steel Line Blanks -- 9.14 ASME/ANSI B16.49-Factory-Made Wrought Steel Butt Welding Induction Bends for Transportation and Distribution Systems -- 10 Valves -- 10.1 API 598 Valve Inspection and Testing -- 10.2 API 600 Steel Valves-Flanged and Butt Welded Ends -- 10.3 API 602: Compact Steel Gate Valves-Flanged, Threaded, Welding, and Extended Body Ends -- 10.4 API 603 Class 150 Cast, Corrosion Resistant Flanged End Gate Valves -- 10.5 API 608 Metal Ball Valves-Flanged and Butt Welded Ends -- 10.6 API 609: Butterfly Valves-Double Flanged, Lug and Wafer Type -- 10.7 Testing of Valves -- 10.8 NACE Trim and NACE Material -- 10.8.1 NACE MR0175/ISO 15156 Standard Material Requirements for Sulfide Stress Cracking Resistant Metallic Materials for Oi... -- 10.9 ASME Codes and Other Specifications -- 10.9.1 Valve Materials -- 10.9.1.1 Trim Material -- 10.10 API 6D Specification for Pipeline Valves -- 10.11 API 6FA -- 10.12 API 526 Flanged Steel Pressure Relief Valves -- 10.13 API 527 Seat Tightness of Pressure Relief Valves (2002) -- 10.14 ANSI/API STD 594 Check Valves: Flanged, Lug, Wafer, and Butt Welding. 10.15 ANSI/API 599: Metal Plug Valves-Flanged, Threaded, and Welding Ends -- 10.16 ASME/ANSI B16.38-Large Metallic Valves for Gas Distribution -- 10.17 ASME/ANSI B16.33-Manually Operated Metallic Gas Valves for Use in Gas Piping Systems Up to 125psig -- 10.18 ASME/ANSI B16.40-Manually Operated Thermoplastic Gas Valves -- 10.19 ASME/ANSI B16.10-Face-to-Face and End-to-End Dimensions of Valves -- 10.20 ASME/ANSI B16.34-Valves-Flanged, Threaded, and Welding End -- Index. Utilize the most recent developments to combat challenges such as ice mechanics. The perfect companion for engineers wishing to learn state-of-the-art methods or further develop their knowledge of best practice techniques, Arctic Pipeline Planning provides a working knowledge of the technology and techniques for laying pipelines in the coldest regions of the world. Arctic Pipeline Planning provides must-have elements that can be utilized through all phases of arctic pipeline planning and construction. This includes information on how to: Solve challenges in designing arctic pipelines Protect pipelines from everyday threats such as ice gouging and permafrost Maintain safety and communication for construction workers while supporting typical codes and standards Covers such issues as land survey, trenching or above ground, environmental impact of construction Provides on-site problem-solving techniques utilized through all phases of arctic pipeline planning and construction Is packed with easy-to-read and understandable tables and bullet lists. 9780124165847 print version oai:cds.cern.ch:2317567 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1341845 ebook ebook EBL201805 Engineering SzGeCERN BOOK n 201819 201805 21 PUBLIC BOOK DELETED 2317566 SzGeCERN 20180920202616.0 9781439876428 (electronic bk.) electronic version 9781439876411 electronic version EBL 1335818 eng R857.N34.N36 2014eb 610.28 Papaefthymiou-Davis, Georgia C Nanobiomaterials development and applications Baton Rouge, LO Chapman and Hall/CRC 2013 461 p Cover -- Contents -- Series Preface -- Preface -- Editors -- Contributors -- Part I: Nanomaterials in Nanobiotechnologies: Preparation, Characterization, and Applications -- Chapter 1: Bio-Inspired Magnetic Nanoparticles -- Chapter 2: Nanoparticles for Bioimaging -- Chapter 3: Biomedical Applications of Dendrimer Porphyrin or Phthalocyanine -- Chapter 4: Polymeric Nanoparticles in Cancer Therapy -- Chapter 5: Carbon Nanotube Bioconjugates -- Chapter 6: Biocatalytic Nanosystems -- Chapter 7: Magnetically Induced Hyperthermia for Biomedical Applications -- Part II: Soft Block Nanobuilding: New Preparation Routes of Soft Nanomaterials Using Biomolecules -- Chapter 8: Engineered Biomolecules as Nanomaterials -- Part III: Nanomaterials and Bio- MEMS: Nano- and Microscale Hybridization of Materials and Applications -- Chapter 9: Microfluidic-Based Polymer Scaffold Design for Tissue Engineering -- Chapter 10: Fabrication of Mobile Hybrid Microswimmers Using Micro/ Nanoparticles and Bacterial Flagella -- Part IV: Nanotoxicity Studies and Applications in Eco-Biosystems -- Chapter 11: Environmental Applications of Nanomaterials -- Chpater 12: Cytotoxicity of Biosynthesized Nanomaterials and Functionalized Nanomaterials: Use in Therapy -- Back Cover. Nanomaterials in Nanobiotechnologies: Preparation, Characterization, and ApplicationsBio-Inspired Magnetic NanoparticlesGeorgia C. Papaefthymiou and Eamonn DevlinNanoparticles for BioimagingHye Sun Park and Yong Taik LimBiomedical Applications of Dendrimer Porphyrin or PhthalocyanineWoo-Dong Jang and Won-Gun KohPolymeric Nanoparticles in Cancer TherapyHeebeom Koo, Ji Young Yhee, Ick Chan Kwon, Kwangmeyung Kim, and Ramesh SubbiahCarbon Nanotube BioconjugatesMonica Samal, Dong Kee Yi, and Shashadhar SamalBiocatalytic NanosystemsJaehong Lim and Su Seong LeeMagnetically Induced Hyperthermia for Biomedical ApplicationsMichael Fardis, Ioannis Rabias, Georgios Diamantopoulos, Eleni Karakosta, Danai Tsitrouli, Vassilios Tzitzios, and Georgios PapavassiliouSoft Block Nanobuilding: New Preparation Routes of Soft Nanomaterials Using BiomoleculesEngineered Biomolecules as NanomaterialsYun Jung Lee and Ki Tae NamNanomaterials and Bio-MEMS: Nano- and Microscale Hybridization of Materials and ApplicationsMicrofluidic-Based Polymer Scaffold Design for Tissue EngineeringMohana Marimuthu and Sanghyo KimFabrication of Mobile Hybrid Microswimmers Using Micro/Nanoparticles and Bacterial FlagellaU. Kei Cheang and Min Jun KimNanotoxicity Studies and Applications in Eco-BiosystemsEnvironmental Applications of NanomaterialsJaesang Lee, Byoung Chan Kim, Hun Je Cho, and Changha LeeCytotoxicity of Biosynthesized Nanomaterials and Functionalized Nanomaterials: Use in TherapyMurugan Veerapandian, Kyusik Yan, Ramesh Subbiah, and Min-Ho LeeIndex. Yi, Dong Kee 9781439876411 print version oai:cds.cern.ch:2317566 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1335818 ebook ebook Advances in materials science and engineering EBL Biomedical materials EBL Nanostructures EBL201805 Health Physics and Radiation Effects SzGeCERN BOOK n 201819 201805 21 PUBLIC BOOK DELETED 2317565 SzGeCERN 20210202231112.0 9780080267159 print version 9780080983950 electronic version electronic version oai:cds.cern.ch:2317565 cerncds:BOOK EBL 1334677 eng TK1457.R67 1981eb 621.31/2134 Ross, D Energy from the waves 2nd ed. Jordan Hill Elsevier Science & Technology 2012 171 p ebook Front Cover -- Energy from the Waves -- Copyright Page -- Table of Contents -- THE CAST -- INTRODUCTION -- Chapter 1. How it All Started -- Chapter 2. What is a Wave -- Chapter 3. Back to the Water Wheel -- Chapter 4. How Many Gigawatts -- Chapter 5. The Letter from the Bionics Department -- Chapter 6. The First Big Scheme -- Chapter 7. The Ship with a Broken Back -- Chapter 8. The Duck that won't lie down -- Chapter 9. Now We Copy the Japanese -- Chapter 10. How Firm Can It be -- Addendum: The Bathtub Syndrome -- Chapter 11. Conclusions -- Appendix: Wave Language -- Selected Bibliography -- Index. Revised and substantially expanded to include the latest developments in the field, the second edition of this popular book provides a concise, non-technical account of the historical background and current research and development in the field of wave energy and its planned utilisation. It explains in simple terms the technology involved and describes the new inventions, devices and discoveries which led wave energy to be regarded as a significant future source of alternative power. The author recounts the major events leading up to today's development; the roles played by the principal characters involved, inventors, engineers and politicians and the inevitable struggle which all pioneers must face. The book concludes by discussing the environmental implications, the political conflicts and the problems which lie ahead. Also included, is a useful glossary of terms and a selected bibliography of important technical reports and further sources of information. EBL201805 Engineering SzGeCERN EBL Electric power production -- Great Britain BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1334677 ebook n 201819 21 PUBLIC BOOK DELETED 2317563 SzGeCERN 20180822202549.0 9780123944085 (electronic bk.) electronic version 9780123914965 electronic version EBL 1318199 eng QH438.4.B55.G66 201 610.28 Goodsaid, Federico The path from biomarker discovery to regulatory qualification San Diego, CA Elsevier Science & Technology 2013 207 p Front Cover -- The Path from Biomarker Discovery to Regulatory Qualification -- Copyright -- Contents -- Contributors -- Preface -- Section 1 - Introduction -- Chapter 1 - Biomarker Applications in the Pharmaceutical Industry -- Diagnostic Applications -- Prognostic Applications -- Intervention Management/Monitoring -- Concluding Remarks -- References -- Chapter 2 - Impact of Biomarker Qualification Regulatory Processes on the Critical Path for Drug Development -- Introduction -- Has the Process at the FDA (CDER) Achieved the Goals Originally Proposed by the Pharmacogenomics Guidance in 2005 and the C ... -- What are the Strengths and Weaknesses of the Different Versions of a Biomarker Qualification Process Developed in Each ICH ... -- How Well Have the Different Versions of This Process Been Harmonized across These Regions? -- What are the Opportunities and Challenges for a Single, Universal, Biomarker Qualification Process? -- How Can We Develop Metrics with Which to Measure the Impact of These Processes on Drug Development and Their Acceptance by ... -- Summary -- References -- Chapter 3 - Regulatory Experience of Biomarker Qualification in the EMA -- Other Informal Interactions with the EMA -- Examples of Qualification Opinions -- Chapter 4 - Regulatory Experience at the FDA, EMA, and PMDA: Regulatory Experience at the PMDA -- Acknowledgment -- References -- Section 2 - Biomarker Development and Qualification in the Pharmaceutical Industry -- Chapter 5 - The Impact of Changing Context of Use on Weight of Evidence for Qualification of Biomarkers: A Case Study in Is ... -- Chapter 6 - Safety Biomarker Development and Qualification in the Pharmaceutical Industry -- Chapter 7 - First-Ever Regulatory Biomarker Qualification - Review and Insights by a Participant -- References. Chapter 8 - Metabolomics-Derived Biomarkers of Drug-Induced Skeletal Muscle Injury and Urinary Bladder Transitional Cell Ca ... -- Metabolomic Biomarker for Drug-Induced Skeletal Muscle Injury in Rats -- Metabolomic Biomarker for Causation of Bladder Tumorigenesis in Rats -- Summary -- References -- Chapter 9 - Molecular Biomarkers for Patients with Castration-Resistant Prostate Cancer: Validating Assays Predictive of Tu ... -- Unmet Needs to be Addressed with Biomarkers -- FDA-Approved Method and Demonstrated Use -- Emerging Molecular Biomarkers -- Validating Genomic Biomarkers in CTCs -- Molecular Biomarkers in a CLIA-Certified Laboratory -- Changing the Paradigm for Assessment of Recurrent Prostate Cancer: a Liquid Biopsy -- References -- Section 3 - Toxicogenomic Biomarkers -- Chapter 10 - Gene Logic and Toxicogenomics Biomarkers -- References -- Chapter 11 - The When, Where and How of Toxicogenomic Submissions to Regulatory Agencies: The Deliberations of the HL7/CDISC/I3C Pharmacogenomics Data Standards Track 1 Toxicogenomics Working Group -- Introduction and Background -- Toxicogenomic Applications in Drug Discovery and Development -- The Case Examples -- A Hypothetical Submission in Support of the Safety Claims for a Hypolipidemic Drug -- Highlights from the Discussions -- Conclusions -- Acknowledgments -- References -- Chapter 12 - Biomarker Qualification - Past, Present and Future: Initiating a Cross-Sector Toxicogenomics Biomarker Initiative - Health and Environmental Sciences Institute (HESI) Committee on Application of Genomics to Mechanism-Based Risk Assessment -- HESI's Contributions to the Emerging Field of Toxicogenomics -- Use of Toxicogenomics to Biological Assess Mechanisms - Case Studies -- Current Focus and Activities of the HESI Genomics Committee -- Summary and Future Horizons -- References. Section 4 - Biomarkers of Drug Safety -- Chapter 13 - 'Classic' Biomarkers of Liver Injury -- Bilirubin -- Alternative and Discarded Biomarkers -- Aminotransferases (Transaminases) -- Combined ALT and TBL Measurements -- Conclusions and Recommendations -- References -- Chapter 14 - Qualification of Urinary Biomarkers for Kidney Toxicity -- Regulatory Framework: Advancing the Science of Biomarkers -- Kidney Injury Molecule-1: Characteristics -- Collaborations in Consortia -- Interactions with the FDA and EMA -- Translation to Clinical Use -- Conclusions -- References -- Section 5 - Consortia -- Chapter 15 - Renal Biomarker Qualification: An ILSI Health and Environmental Sciences Institute Perspective -- Safety Biomarker Research - the Origin of this Activity in HESI -- Creation of Biomarker Working Groups -- Biomarkers of Nephrotoxicity Committee (BNC) -- Biomarker Qualification: the Changing Landscape -- References -- Chapter 16 - Vignette Regarding Consortia: C-Path Institute -- Chapter 17 - The Telemetric and Holter ECG Warehouse to Enable the Validation and Development of Novel Electrocardiographic ... -- Introduction -- QT Interval as a Safety Marker in Drug Development -- QT Interval: from a Biomarker to a Surrogate Marker -- The Thorough QT Studies (TQT) -- Improving the QT Marker -- QT, Heart Rate and Autonomic Regulation -- Inception of the Telemetric and Holter ECG Warehouse (THEW): a Model to Develop Academia-Regulators-Industries Partnerships -- Involving the FDA and Industry -- Participation by the National Institutes of Health -- Facilitating the Submission of New ECG Markers to the FDA -- Conclusions and Perspectives -- References -- Section 6 - Path to Regulatory Qualification Process Development -- Chapter 18 - Path to Regulatory Qualification Program Development: A US FDA Perspective -- The Biomarker Qualification Process at US FDA. Current Status of Biomarker Qualification Submissions -- Future Perspectives -- Acknowledgments -- References -- Chapter 19 - Path to Regulatory Qualification Process Development -- Acknowledgment -- References -- Chapter 20 - The Tortuous Path From Development to Qualification of Biomarkers -- Index. The Path from Biomarker Discovery to Regulatory Qualification is a unique guide that focuses on biomarker qualification, its history and current regulatory settings in both the US and abroad. This multi-contributed book provides a detailed look at the next step to developing biomarkers for clinical use and covers overall concepts, challenges, strategies and solutions based on the experiences of regulatory authorities and scientists. Members of the regulatory, pharmaceutical and biomarker development communities will benefit the most from using this book-it is a complete and practical guide to biomarker qualification, providing valuable insight to an ever-evolving and important area of regulatory science. For complimentary access to chapter 13, 'Classic' Biomarkers of Liver Injury, by John R. Senior, Associate Director for Science, Food and Drug Administration, Silver Spring, Maryland, USA, please visit the following site:  http://tinyurl.com/ClassicBiomarkers Contains a collection of experiences of different groups taking different types of biomarkers to different levels of qualification and provides insightful case studies of an important area of regulatory science Focuses on practical advice, concepts, strategies and overall outcomes to support those working toward biomarker qualification for clinical use Offers a valuable resource for members of the regulatory, pharmaceutical and biomarker development communities. Mattes, William B 9780123914965 print version oai:cds.cern.ch:2317563 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1318199 ebook ebook EBL Biochemical markers EBL Drug development EBL201805 Health Physics and Radiation Effects SzGeCERN BOOK n 201819 201805 21 PUBLIC BOOK DELETED 2317562 SzGeCERN 20180822202549.0 9781134033904 (electronic bk.) electronic version 9781844071845 electronic version EBL 1273292 eng TJ280.7 .G443 2013 621.44 Dickson, Mary H Geothermal energy utilization and technology London Routledge 2013 225 p Cover -- Title Page -- Copyright Page -- Preface -- Table of Contents -- List of Figures -- List of Tables -- List of Contributors -- Notes on the Editors -- Unit Conversion Tables -- 1. Geothermal Background -- Aims -- Objectives -- Introduction -- Brief geothermal history -- Present status of geothermal utilization -- Nature of geothermal resources -- The Earth's thermal engine -- Geothermal systems -- Definition and classification of geothermal resources -- Exploration -- Objectives of exploration -- Exploration methods -- Exploration programme -- Utilization of geothermal resources -- Electricity generation -- Direct heat uses -- Economic considerations -- Environmental impact -- Sources of pollution -- Final considerations -- References -- Self-assessment Questions -- Answers -- 2. Electricity Generation -- Aims -- Objectives -- Technical features of plant options -- Atmospheric exhaust conventional steam turbine -- Condensing exhaust conventional steam turbine -- Binary plant -- Biphase rotary separator turbo-alternator -- Well-head generating units -- Economic considerations regarding small geothermal plants -- References -- Recommended literature -- Appendix A Thermodynamics of cycles -- Thermodynamics of flash process -- Thermodynamics of organic Rankine cycle -- Thermodynamics of biphase process -- Appendix B Principal manufactures -- Manufacturers of conventional atmospheric exhaust or condensing steam turbine plants -- Manufacturers of geothermal binary plants -- Manufacturers of geothermal biphase rotary separator plants -- Self-assessment questions -- Answers -- 3. Space and District Heating -- Aims -- Objectives -- Introduction -- Preamble -- Utilization of low-temperature geo-thermal resources -- Resource considerations -- Resource development -- Temperature of fluid -- Available flow rates -- Chemistry of fluids. Distance from potential market -- Space heating (or cooling) needs -- Climate -- Population, population density -- Building types -- Techno-economic aspects -- Hot water collection and transmission system -- Types of district heating systems -- Pipe systems -- Equipment selection -- Down-hole pumps -- De-gassing tanks -- Heat exchangers -- Radiators -- Control equipment -- Heat pumps -- Economic considerations -- Cost of drilling -- Cost of pipeline -- Capital investment -- Operating cost -- Cost of improving heat efficiency of buildings -- Cost of alternative thermal energy sources -- Tariffs -- Sales policies and metering -- Integrated uses -- Environmental considerations -- Chemical pollution -- Thermal pollution -- Physical effects -- Social and economic considerations -- Recommended literature -- Self-assessment questions -- Answers -- 4. Space Cooling -- Aims -- Objectives -- Introduction -- Air conditionning -- Lithium bromide/water cycle machines -- Performance -- Large tonnage equipment costs -- Small tonnage equipment -- Commercial refrigeration -- Water/ammonia cycle machines -- Absorption research -- Materials -- Conclusions -- References -- Self-assessment questions -- Answers -- 5. Greenhouse Heating -- Aims -- Objectives -- Introduction -- Energy aspects of protected crop cultivation -- Why protected crop cultivation? -- Greenhouse climate -- Characteristics of heat consumption -- Technical solutions for geothermal greenhouse heating -- Factors influencing the choice of technological solution -- Hot-water transmission systems -- Combined uses -- Geothermal greenhouse heating instalations -- Classification -- Soil heating installations -- Soil-air heating installations -- Aerial pipe heating installations and convectors -- Fan-assisted convectors -- Other types of heating installation. Factors influencing the choice of heating installation -- Temperature profiles in the greenhouse -- Economic aspects -- Operating problems -- Environmental aspects -- Adaptation of technological solutions to local conditions -- Final considerations -- References -- Self-assessment questions -- Answers -- 6. Aquaculture -- Aims -- Objectives -- Introduction to geothermal aquaculture -- Background -- Examples of geothermal projects -- General design and considerations -- Additional information -- References -- Self-assessment questions -- Answers -- Aquaculture technology -- Introduction -- Heat exchange processes -- Reduction of heating requirements -- Flow requirements -- References -- Self-assessment questions -- Answers -- 7. Industrial Applications -- Aims -- Objectives -- Introduction -- Examples of industrial applications of geothermal energy -- Pulp, paper and wood processing -- Diatomite plant -- Vegetable dehydration -- Other industrial uses -- Selected industrial applications -- Pulp and paper mill (Hornburg and Lindal, 1978) -- Drying lumber (VTN-CSL, 1977) -- Crop drying (Lienau, 1978) -- Vegetable and fruit dehydration (Lienau, 1978) -- Potato processing (Lienau, 1978) -- Heap leaching (Trexler et al., 1987, 1990) -- Waste-water treatment plant (Racine et al., 1981) -- References -- Self-assessment questions -- Answers -- 8. Environmental Impactsand Mitigation -- Aim -- Objectives -- Introduction -- Physical impacts -- Land and the landscape -- Noise -- Natural geothermal features -- Heat-tolerant vegetation -- Hydrothermal eruptions -- Subsidence -- Induced seismicity -- Thermal effects of waste discharge -- Water usage -- Solid wastes -- Impacts on air quality -- Composition of gas discharges -- Toxic and environmental effects -- Impacts on water quality -- Composition of fluid discharges -- Toxicity and environmental effects. Social impacts -- Workplace impacts -- Exposure to airborne contaminants -- Exposure to liquid contaminants -- Exposure to noise -- Exposure to heat -- OSH criteria and standards -- Legislation and eia -- Environmental impact assessment -- The consent application and award process -- Monitoring programmes -- The future -- References -- Recommended literature -- Self-assessment questions -- Answers -- 9. Economics and Financing -- Aims -- Objectives -- Introduction -- Economic considerations -- Provision of fuel -- Project design and facility construction -- Revenue generation -- Financing considerations -- Institutional framework -- Financing approaches and sources -- Contracts and risk allocation -- References -- Self-assessment questions -- Answers. Geothermal energy refers to the heat contained within the Earth that generates geological phenomena on a planetary scale. Today, this term is often associated with man's efforts to tap into this vast energy source. Geothermal Energy: utilization and technology is a detailed reference text, describing the various methods and technologies used to exploit the earth's heat. Beginning with an overview of geothermal energy and the state of the art, leading international experts in the field cover the main applications of geothermal energy, including: electricity generation space and district heating space cooling greenhouse heating aquaculture industrial applications The final third of the book focuses upon environmental impact and economic, financial and legal considerations, providing a comprehensive review of these topics. Each chapter is written by a different author, but to a set style, beginning with aims and objectives and ending with references, self-assessment questions and answers. Case studies are included throughout. Whilst written primarily for professionals and students interested in learning more about geothermal energy, the book also offers those new to the field and the general geothermal community an opportunity to understand and review the potential of this exciting alternative energy source. Published with UNESCO. Fanelli, Mario Fanelli, Mario 9781844071845 print version oai:cds.cern.ch:2317562 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1273292 ebook ebook EBL Geothermal engineering EBL201805 Engineering SzGeCERN BOOK n 201819 201805 21 PUBLIC BOOK DELETED 2317548 SzGeCERN 20210421205008.0 9780124055391 print version 9780124058576 electronic version electronic version oai:cds.cern.ch:2317548 cerncds:BOOK EBL 1110718 eng QP519.9.F56 535.352 Tetin, Sergey Fluorescence fluctuation spectroscopy (FFS) San Diego, CA Elsevier Science & Technology 2012 395 p ebook Methods in enzymology 519 Front Cover -- Fluorescence Fluctuation Spectroscopy (FFS), Part B -- Copyright -- Contents -- Contributors -- Preface -- Methods in Enzymology -- Chapter One: FCS in STED Microscopy: Studying the Nanoscale of Lipid Membrane Dynamics -- 1. Introduction -- 2. STED-FCS of Lipid Membrane Dynamics -- 2.1. Cellular labeling -- 2.2. STED nanoscopy -- 2.3. STED-FCS: The principle -- 2.4. STED-FCS: Anomalous subdiffusion -- 2.5. STED-FCS: Quantification of anomalous subdiffusion -- 3. Lipid Membrane Dynamics -- 3.1. Anomaly of PE diffusion -- 3.2. Consistency of the different analysis procedures -- 3.3. Environmental parameters -- 3.4. Molecular dependence -- 3.5. Dependence on COase treatment -- 4. Conclusions -- Acknowledgments -- References -- Chapter Two: Analyzing Förster Resonance Energy Transfer with Fluctuation Algorithms -- 1. Introduction -- 1.1. Definition of the correlation functions -- 1.2. Heterogeneous mixtures -- 1.3. Hardware -- 1.4. Timescales studied by FRET -- 2. FRET and FCS -- 2.1. Only FRET molecules -- 2.2. FRET molecules mixed with donor-only sample -- 3. Filtered FCS -- 3.1. FRET-fFCS: FRET molecules mixed with donor-only at picomolar concentration -- 3.2. FRET and fFCS interconversion between states at SMD -- 4. Applications -- 5. Discussion -- 5.1. Relaxation time -- 5.1.1. Temporal boundaries for FRET-FCS -- 5.1.2. Temporal boundaries for fFCS -- 5.1.3. Alternative and complementary methods -- 5.2. Brightnesses uncertainty -- 5.3. Advantages of fFCS -- Acknowledgments -- References -- Chapter Three: Fluorescence Fluctuation Spectroscopy Approaches to the Study of Receptors in Live Cells -- 1. Introduction -- 2. Selected FFS Studies -- 2.1. Determination of receptor densities -- 2.2. Measurement of binding affinities -- 2.3. Receptor oligomerization state and clustering -- 2.4. Analysis of nuclear receptors. 3. Choice of Fluorophores: General Considerations -- 3.1. Fluorescent antibodies -- 3.2. Fluorescent proteins -- 3.3. Biomolecular fluorescence complementation -- 3.4. HaloTags/SNAP/FlAsH -- 3.5. Quantum dots -- 4. Cells: General Considerations -- 4.1. Cell growth and transfection -- 4.2. Maintenance of cell viability -- 4.3. Photobleaching and phototoxicity -- 4.4. Autofluorescence -- 5. Summary -- Acknowledgments -- References -- Chapter Four: Studying the Protein Corona on Nanoparticles by FCS -- 1. Introduction -- 2. Sample Preparation -- 2.1. Proteins -- 2.2. Nanoparticles -- 2.3. Preparation of a protein concentration series by serial dilution -- 2.4. Sample cell and sample loading -- 3. Experimental Procedures -- 3.1. Experimental setups -- 3.2. Microscope calibration -- 3.3. Data collection -- 4. Data Analysis -- 4.1. Correlation function analysis -- 4.2. Computation of hydrodynamic radii -- 5. Protein Corona Formation Measured by FCS -- 5.1. Concentration dependence of protein adhesion -- 5.2. Structure of the protein corona -- 5.3. Protein electrostatics and adsorption tendency -- 6. Conclusions -- Acknowledgments -- References -- Chapter Five: Studying Antibody-Antigen Interactions with Fluorescence Fluctuation Spectroscopy -- 1. Introduction -- 2. Binding Model and Experimental Considerations -- 3. Studying Antibodies with FFS -- 3.1. Determination of equilibrium dissociation constants with FCS -- 3.1.1. Antibody binding to a small ligand -- 3.1.2. Binding of similar size proteins -- 3.2. Antigenic epitope mapping -- 3.3. Cross-correlation analysis of antibody complexes -- 3.3.1. Antibody sandwich identification -- 3.3.2. Dissociation kinetics -- 3.4. Antibody stoichiometry -- 3.4.1. Moment analysis -- 3.4.2. Time Integrated Fluorescence Cumulant Analysis (TIFCA) -- 3.4.3. Model selection using TIFCA -- 4. Instrumentation. 4.1. Instrument calibration for FCS measurements -- 4.2. Instrument calibration for DC-FCCS measurements -- 4.3. Instrument calibration for TIFCA measurements -- Acknowledgments -- References -- Chapter Six: Fluorescence Fluctuation Approaches to the Study of Adhesion and Signaling -- 1. Introduction -- 2. A Fluorescence Fluctuation Toolbox -- 2.1. Fluorescence correlation spectroscopy -- 2.2. Image correlation spectroscopy techniques -- 2.2.1. Image correlation spectroscopy -- 2.2.2. Temporal-image correlation spectroscopy -- 2.2.3. Raster-image correlation spectroscopy -- 2.2.4. Spatiotemporal image correlation spectroscopy -- 2.3. Number and brightness variance analysis -- 3. Experimental Implementation -- 3.1. Fluorescent labeling -- 3.1.1. Spectral properties -- 3.1.2. Brightness -- 3.1.3. Photostability -- 3.1.4. Oligomerization -- 3.2. Transfection optimization -- 3.2.1. Lipid-based transfection protocol -- 3.2.2. Expression level optimization -- 3.3. Sample preparation for imaging adhesions in migrating cells -- 3.3.1. Migration promoting conditions -- 3.3.2. Cell culture medium for imaging -- 3.3.3. Sample heater -- 3.3.4. Dishes for imaging -- 3.4. Instrumentation for image-based correlation measurements -- 3.4.1. Laser power -- 3.4.2. Laser alignment -- 3.4.3. Objectives -- 3.4.4. Filter sets -- 3.4.5. Photon detectors -- 3.5. General considerations for image series acquisition -- 3.5.1. Sampling rate -- 3.5.2. Number of sampled fluctuations -- 3.6. Post-acquisition image processing -- 3.6.1. Background intensity -- 3.6.2. Analog detector -- 3.6.3. Photobleaching and macroscopic fluctuations -- 3.6.4. Immobile populations -- 3.7. Control samples -- 3.7.1. Bleedthrough control -- 3.7.2. Positive and negative controls for cross-correlation -- 3.7.3. Fluorescence intensity calibration controls -- 4. Applications. 4.1. Mapping of integrin aggregation and dynamics in migrating cells -- 4.2. Retrograde flow of adhesion components in the integrin-actin linkage -- 4.3. Association of adhesion components in complexes occurs at adhesion sites -- 5. Conclusion -- References -- Chapter Seven: Interactions in Gene Expression Networks Studied by Two-Photon Fluorescence Fluctuation Spectroscopy -- 1. Introduction -- 2. In Vitro Interactions Between Proteins and Nucleic Acids Using Fluctuation Approaches -- 2.1. L20: Protein-RNA interactions implicated in translational control -- 2.2. Transcriptional regulators of the central carbon metabolism in Bacillus subtilis -- 2.2.1. FCS measurements of CggR repressor oligomerization -- 2.2.2. FCCS measurements of CggR and CcpN repressor-operator interactions -- 3. FFM in Live Bacterial Cells -- 3.1. Adaptation of fluctuation approaches to imaging bacteria -- 3.1.1. Geometric concerns and the advantages of N&B -- 3.1.2. Advantages of two-photon excitation for FFM -- 3.2. Counting up fluorescent molecules in live bacterial cells -- 3.3. Biological materials -- 3.3.1. Fluorescent proteins -- 3.3.2. Bacterial strains -- 3.3.3. Microscopy samples -- 3.4. Measuring promoter activity in live bacterial cells by two-photon scanning N&B -- 3.4.1. Activity of an IPTG-inducible promoter, detection limits, and stochastic noise -- 3.4.2. Single-cell analysis of gene expression in the CCM of B. subtilis -- 4. Conclusions and Perspectives -- References -- Chapter Eight: Studying Ion Exchange in Solution and at Biological Membranes by FCS -- 1. Introduction -- 2. Ion Exchange Monitoring by FCS-Basic Approach -- 3. Monitoring of Local Ion Concentrations and Exchange in Solution -- 4. Monitoring of Proton Exchange at Biological Membranes by FCS. 5. Approach for Ion Exchange Monitoring Incorporating Dual Color Fluorescence Cross Correlation Spectroscopy (FCCS) -- 6. Conclusions -- Acknowledgments -- References -- Chapter Nine: Fluctuation Analysis of Activity Biosensor Images for the Study of Information Flow in Signaling Pathways -- 1. Introduction -- 2. Activity Biosensors -- 2.1. Types of activity biosensors -- 2.2. Design of the affinity reagent -- 2.3. Practical considerations -- 2.4. Image acquisition and data processing -- 3. Extracting Activity Fluctuations in a Cell Shape Invariant Space -- 4. Correlation Analysis of Activity Fluctuations for Pathway Reconstruction -- 4.1. Defining the spatiotemporal scale of events -- 4.1.1. Autocorrelation -- 4.1.2. Power spectrum -- 4.1.3. Optimizing the spatiotemporal sampling of activity fluctuations -- 4.2. Establishing relationships between pathway events -- 4.2.1. Cross-correlation -- 4.2.2. Coherence -- 4.3. Integrating results: Averaging over multiple windows and cells -- 4.4. Integrating results: Multiplexing of different activities using a common fiduciary -- 4.5. Integrating results: Comparing correlation and coherence data between different subcellular locations -- 5. Outlook -- Acknowledgment -- References -- Chapter Ten: Probing the Plasma Membrane Organization in Living Cells by Spot Variation Fluorescence Correlation Spectroscopy -- 1. Introduction -- 2. Optical Setups for Sizing the Excitation Volume -- 2.1. Spot variation FCS -- 2.2. z-scan FCS -- 2.3. Super-resolution svFCS by single nanometric apertures and STED microscopy -- 2.4. Combining FRAP and svFCS -- 3. General Considerations for svFCS Acquisition -- 3.1. Spot size calibration -- 3.2. Setting optimal laser illumination -- 3.3. Labeling strategies -- 4. Measurements on Living Cells -- 4.1. Procedure for measurement on adherent cells. 4.2. Special considerations for measurements on nonadherent cells. This new volume of Methods in Enzymology continues the legacy of this premier serial with quality chapters authored by leaders in the field. This volume covers fluorescence fluctuation spectroscopy and includes chapters on such topics as Förster resonance energy transfer (fret) with fluctuation algorithms, protein corona on nanoparticles by FCS, and FFS approaches to the study of receptors in live cells. Continues the legacy of this premier serial with quality chapters authored by leaders in the field Covers fluorescence fluctuation spectroscopy Contains chapters on such topics as Förster resonance energy transfer (fret) with fluctuation algorithms, protein corona on nanoparticles by FCS, and FFS approaches to the study of receptors in live cells. EBL201805 SzGeCERN Other Fields of Physics BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1110718 ebook n 201819 21 PUBLIC https://catalogue.library.cern/legacy/2317548 BOOK MIGRATED 2317544 SzGeCERN 20210421205008.0 9780080918143 electronic version electronic version 9780122511004 print version oai:cds.cern.ch:2317544 cerncds:BOOK EBL 949199 eng QD511 -- .F44 2013eb 536.702455 Fegley, Bruce, Jr Practical chemical thermodynamics for geoscientists Saint Louis, MO Elsevier Science & Technology 2012 839 p ebook Front Cover -- Practical Chemical Thermodynamics for Geoscientists -- Copyright -- Contents -- Dedication -- Preface -- Chapter 1 - Definition, Development, and Applications of Thermodynamics -- I. HISTORICAL DEVELOPMENT OF CHEMICAL THERMODYNAMICS -- II. PIONEERING APPLICATIONS IN THE GEOSCIENCES -- III. THERMODYNAMICS VERSUS KINETICS -- Chapter 2 - Important Concepts and Mathematical Methods -- I. DEFINITIONS -- II. PRESSURE AND TEMPERATURE -- III. BOYLE'S LAW -- IV. CHARLES'S OR GAY-LUSSAC'S LAW -- V. DALTON'S LAW -- VI. AN IDEAL GAS THERMOMETER -- VII. IDEAL GAS EQUATION OF STATE (THE IDEAL GAS LAW) -- VIII. THE PVT SURFACE FOR AN IDEAL GAS -- IX. COMPLETE DIFFERENTIALS AND THE PVT SURFACE OF AN IDEAL GAS -- X. THERMAL EXPANSION COEFFICIENT -- XI. COMPRESSIBILITY COEFFICIENT -- XII. SOME FURTHER NOTES ABOUT DIFFERENTIALS -- PROBLEMS -- Chapter 3 - The First Law of Thermodynamics -- I. HISTORICAL OVERVIEW OF IDEAS ABOUT HEAT AND WORK -- II. THE FIRST LAW OF THERMODYNAMICS -- III. SOME APPLICATIONS OF THE FIRST LAW TO IDEAL GASES -- IV. ADIABATIC PROCESSES AND THE THERMAL STRUCTURE OF PLANETARY ATMOSPHERES -- V. OTHER TYPES OF WORK -- PROBLEMS -- Chapter 4 - Thermal Properties of Pure Substances and Some Applications -- I. SOME BASIC CONCEPTS ABOUT HEAT CAPACITY AND ENTHALPY -- II. AN OVERVIEW OF CALORIMETRY -- III. THERMAL PROPERTIES OF SOLIDS -- PROBLEMS -- Chapter 5 - Thermochemistry -- I. SOME BASIC CONCEPTS -- II. CALORIMETRIC MEASUREMENT OF REACTION ENTHALPIES -- III. SOME APPLICATIONS OF THERMOCHEMISTRY -- PROBLEMS -- Chapter 6 - The Second Law of Thermodynamics and Entropy -- I. A REVIEW OF SOME IMPORTANT DEFINITIONS -- II. HISTORICAL DEVELOPMENT OF THE SECOND LAW -- III. THE SECOND LAW OF THERMODYNAMICS -- IV. CARNOT CYCLE -- V. THERMODYNAMIC TEMPERATURE SCALE -- VI. ENTROPY -- VII. SOME APPLICATIONS OF THE SECOND LAW. VIII. GIBBS AND HELMHOLTZ FREE ENERGY -- IX. ENTROPY AND PROBABILITY -- PROBLEMS -- Chapter 7 - Phase Equilibria of Pure Materials -- I. BASIC CONCEPTS AND DEFINITIONS -- II. PHASE EQUILIBRIA, THE CLAPEYRON EQUATION, AND THE CLAUSIUS-CLAPEYRON EQUATION -- III. EFFECT OF TOTAL PRESSURE ON VAPOR PRESSURE -- IV. TYPES OF PHASE TRANSITIONS -- V. MELTING CURVES AND POLYMORPHIC PHASE TRANSITIONS AT HIGH PRESSURES -- PROBLEMS -- Chapter 8 - Equations of State -- I. THE MAXWELL RELATIONS AND THERMODYNAMIC FORMULAS -- II. REAL GAS EQUATIONS OF STATE AND THERMODYNAMICS -- III. THERMODYNAMIC PROPERTIES OF REAL GASES -- IV. THERMODYNAMIC PROPERTIES OF GAS MIXTURES -- V. CRITICAL PHENOMENA OF REAL GASES -- VI. EQUATIONS OF STATE FOR SOLIDS AND LIQUIDS -- PROBLEMS -- Chapter 9 - The Third Law of Thermodynamics -- I. HISTORICAL DEVELOPMENT OF THE NERNST HEAT THEOREM -- II. THE THIRD LAW AND ITS CONSEQUENCES -- III. THE THIRD LAW AND ENTROPY -- IV. ABSOLUTE ENTROPY VALUES AND THE THIRD LAW -- PROBLEMS -- Chapter 10 - Chemical Equilibria -- I. CHEMICAL EQUILIBRIA OF GASES -- II. GAS-CONDENSED PHASE EQUILIBRIA -- III. GIBBS FREE ENERGY AND ELECTROCHEMISTRY -- PROBLEMS -- Chapter 11 - Solutions -- I. BASIC CONCEPTS -- II. PARTIAL MOLAL PROPERTIES -- III. THERMODYNAMIC PROPERTIES OF IDEAL AND DILUTE SOLUTIONS -- IV. THERMODYNAMIC PROPERTIES OF NONIDEAL (REAL) SOLUTIONS -- V. AQUEOUS SOLUTIONS -- VI. ACTIVITY COEFFICIENTS OF AQUEOUS ELECTROLYTES -- PROBLEMS∗ -- Chapter 12 - Phase Equilibria of Binary Systems -- I. BINARY PHASE DIAGRAMS -- PROBLEMS -- Appendix 1 -- Appendix 2 -- Index -- Chapter 2 - Problem Solutions -- Chapter 3 - Problem Solutions -- Chapter 4 - Problem Solutions -- Chapter 5 - Solutions -- Chapter 6 - Solutions -- Chapter 7 - Problem Solutions -- References -- Chapter 8 - Problem Solutions -- Chapter 9 - Problem Solutions -- References. Chapter 10 - Problem Solution -- References -- Chapter 11 - Solutions -- Chapter 12 - Problem Solutions -- References. Practical Chemical Thermodynamics for Geoscientists covers classical chemical thermodynamics and focuses on applications to practical problems in the geosciences, environmental sciences, and planetary sciences. This book will provide a strong theoretical foundation for students, while also proving beneficial for earth and planetary scientists seeking a review of thermodynamic principles and their application to a specific problem. Strong theoretical foundation and emphasis on applications Numerous worked examples in each chapter Brief historical summaries and biographies of key thermodynamicists-including their fundamental research and discoveries Extensive references to relevant literature. EBL201805 Other Fields of Physics SzGeCERN EBL Chemical equilibrium EBL Thermochemistry BOOK Osborne, Rose https://cds.cern.ch/auth.py?r=EBLIB_P_949199 ebook n 201819 21 PUBLIC https://catalogue.library.cern/legacy/2317544 BOOK MIGRATED 2317496 SzGeCERN 20210202231112.0 9780080568812 electronic version electronic version 9780120885732 print version oai:cds.cern.ch:2317496 cerncds:BOOK EBL 365575 eng QD516.G55 2008 541/.361 Glassman, Irvin Combustion 4th ed. San Diego, CA Elsevier Science & Technology 2008 794 p ebook Front Cover -- Combustion -- Copyright Page -- Contents -- Prologue -- Preface -- CHAPTER 1. CHEMICAL THERMODYNAMICS AND FLAME TEMPERATURES -- A. Introduction -- B. Heats of reaction and formation -- C. Free energy and the equilibrium constants -- D. Flame temperature calculations -- 1. Analysis -- 2. Practical considerations -- E. Sub- and super sonic combustion thermodynamics -- 1. Comparisons -- 2. Stagnation pressure considerations -- Problems -- CHAPTER 2. CHEMICAL KINETICS -- A. Introduction -- B. Rates of reactions and their temperature dependence -- 1. The Arrhenius rate expression -- 2. Transition state and recombination rate theories -- C. Simultaneous interdependent reactions -- D. Chain reactions -- E. Pseudo-first-order reactions and the "fall-off" range -- F. The partial equilibrium assumption -- G. Pressure effect in fractional conversion -- H. Chemical kinetics of large reaction mechanisms -- 1. Sensitivity analysis -- 2. Rate of production analysis -- 3. Coupled thermal and chemical reacting systems -- 4. Mechanism simplification -- Problems -- CHAPTER 3. EXPLOSIVE AND GENERAL OXIDATIVE CHARACTERISTICS OF FUELS -- A. Introduction -- B. Chain branching reactions and criteria for explosion -- C. Explosion limits and oxidation characteristics of hydrogen -- D. Explosion limits and oxidation characteristics of carbon monoxide -- E. Explosion limits and oxidation characteristics of hydrocarbons -- 1. Organic nomenclature -- 2. Explosion limits -- 3. "Low-temperature" hydrocarbon oxidation mechanisms -- F. The oxidation of aldehydes -- G. The oxidation of methane -- 1. Low-temperature mechanism -- 2. High-temperature mechanism -- H. The oxidation of higher-order hydrocarbons -- 1. Aliphatic hydrocarbons -- 2. Alcohols -- 3. Aromatic hydrocarbons -- 4. Supercritical effects -- Problems. CHAPTER 4. FLAME PHENOMENA IN PREMIXED COMBUSTIBLE GASES -- A. Introduction -- B. Laminar flame structure -- C. The laminar flame speed -- 1. The theory of Mallard and Le Chatelier -- 2. The theory of Zeldovich, Frank-Kamenetskii, and Semenov -- 3. Comprehensive theory and laminar flame structure analysis -- 4. The laminar flame and the energy equation -- 5. Flame speed measurements -- 6. Experimental results: physical and chemical effects -- D. Stability limits of laminar flames -- 1. Flammability limits -- 2. Quenching distance -- 3. Flame stabilization (low velocity) -- 4. Stability limits and design -- E. Flame propagation through stratified combustible mixtures -- F. Turbulent reacting flows and turbulent flames -- 1. The rate of reaction in a turbulent field -- 2. Regimes of turbulent reacting flows -- 3. The turbulent flame speed -- G. Stirred reactor theory -- H. Flame stabilization in high-velocity streams -- I. Combustion in small volumes -- Problems -- CHAPTER 5. DETONATION -- A. Introduction -- 1. Premixed and diffusion flames -- 2. Explosion, deflagration, and detonation -- 3. The onset of detonation -- B. Detonation phenomena -- C. Hugoniot relations and the hydrodynamic theory of detonations -- 1. Characterization of the Hugoniot curve and the uniqueness of the C-J point -- 2. Determination of the speed of sound in the burned gases for conditions above the C-J point -- 3. Calculation of the detonation velocity -- D. Comparison of detonation velocity calculations with experimental results -- E. The ZND structure of detonation waves -- F. The structure of the cellular detonation front and other detonation phenomena parameters -- 1. The cellular detonation front -- 2. The dynamic detonation parameters -- 3. Detonation limits -- G. Detonations in nongaseous media -- Problems -- CHAPTER 6. DIFFUSION FLAMES -- A. Introduction. B. Gaseous fuel jets -- 1. Appearance -- 2. Structure -- 3. Theoretical considerations -- 4. The Burke-Schumann development -- 5. Turbulent fuel jets -- C. Burning of condensed phases -- 1. General mass burning considerations and the evaporation coefficient -- 2. Single fuel droplets in quiescent atmospheres -- D. Burning of droplet clouds -- E. Burning in convective atmospheres -- 1. The stagnant film case -- 2. The longitudinally burning surface -- 3. The flowing droplet case -- 4. Burning rates of plastics: The small B assumption and radiation effects -- Problems -- CHAPTER 7. IGNITION -- A. Concepts -- B. Chain spontaneous ignition -- C. Thermal spontaneous ignition -- 1. Semenov approach of thermal ignition -- 2. Frank-Kamenetskii theory of thermal ignition -- D. Forced ignition -- 1. Spark ignition and minimum ignition energy -- 2. Ignition by adiabatic compression and shock waves -- E. Other ignition concepts -- 1. Hypergolicity and pyrophoricity -- 2. Catalytic ignition -- Problems -- CHAPTER 8. ENVIRONMENTAL COMBUSTION CONSIDERATIONS -- A. Introduction -- B. The nature of photochemical smog -- 1. Primary and secondary pollutants -- 2. The effect of NO[sub(x)] -- 3. The effect of SO[sub(x)] -- C. Formation and reduction of nitrogen oxides -- 1. The structure of the nitrogen oxides -- 2. The effect of flame structure -- 3. Reaction mechanisms of oxides of nitrogen -- 4. The reduction of NO[sub(x)] -- D. SO[sub(x)] emissions -- 1. The product composition and structure of sulfur compounds -- 2. Oxidative mechanisms of sulfur fuels -- E. Particulate formation -- 1. Characteristics of soot -- 2. Soot formation processes -- 3. Experimental systems and soot formation -- 4. Sooting tendencies -- 5. Detailed structure of sooting flames -- 6. Chemical mechanisms of soot formation -- 7. The influence of physical and chemical parameters on soot formation. F. Stratospheric ozone -- 1. The HO[sub(x)] catalytic cycle -- 2. The NO[sub(x)] catalytic cycle -- 3. The ClO[sub(x)] catalytic cycle -- Problems -- CHAPTER 9. COMBUSTION OF NONVOLATILE FUELS -- A. Carbon char, soot, and metal combustion -- B. Metal combustion thermodynamics -- 1. The criterion for vapor-phase combustion -- 2. Thermodynamics of metal-oxygen systems -- 3. Thermodynamics of metal-air systems -- 4. Combustion synthesis -- C. Diffusional kinetics -- D. Diffusion-controlled burning rate -- 1. Burning of metals in nearly pure oxygen -- 2. Burning of small particles - diffusion versus kinetic limits -- 3. The burning of boron particles -- 4. Carbon particle combustion (C. R. Shaddix) -- E. Practical carbonaceous fuels (C. R. Shaddix) -- 1. Devolatilization -- 2. Char combustion -- 3. Pulverized coal char oxidation -- 4. Gasification and oxy-combustion -- F. Soot oxidation (C. R. Shaddix) -- Problems -- APPENDIXES -- APPENDIX A. THERMOCHEMICAL DATA AND CONVERSION FACTORS -- Table A1. Conversion factors and physical constants -- Table A2. Thermochemical data for selected chemical compounds -- Table A3. Thermochemical data for species included in reaction list of Appendix C -- APPENDIX B. ADIABATIC FLAME TEMPERATURES OF HYDROCARBONS -- Table B1. Adiabatic flame temperatures -- APPENDIX C. SPECIFIC REACTION RATE CONSTANTS -- Table C1. H[sub(2)]/O[sub(2)] mechanism -- Table C2. CO/H[sub(2)]/O[sub(2)] mechanism -- Table C3. CH[sub(2)]O/CO/H[sub(2)]/O[sub(2)] mechanism -- Table C4. CH[sub(3)]OH/CH[sub(2)]O/CO/H[sub(2)]/O[sub(2)] mechanism -- Table C5. CH[sub(4)]/CH[sub(3)]OH/CH[sub(2)]O/CO/H[sub(2)]/O[sub(2)] mechanism -- Table C6. C[sub(2)]H[sub(6)]/CH[sub(4)]/CH[sub(3)]OH/CH[sub(2)]O/CO/H[sub(2)]/O[sub(2)] mechanism -- Table C7. Selected reactions of a C[sub(3)]H[sub(8)] oxidation mechanism. Table C8. N[sub(x)]O[sub(y)]/CO/H[sub(2)]/O[sub(2)] mechanism -- Table C9. HCl/N[sub(x)]O[sub(y)]/CO/H[sub(2)]/O[sub(2)] mechanism -- Table C10. O[sub(3)]/N[sub(x)]O[sub(y)]/CO/H[sub(2)]/O[sub(2)] mechanism -- Table C11. SO[sub(x)]/N[sub(x)]O[sub(y)]/CO/H[sub(2)]/O[sub(2)] mechanism -- APPENDIX D. BOND DISSOCIATION ENERGIES OF HYDROCARBONS -- Table D1. Bond dissociation energies of alkanes -- Table D2. Bond dissociation energies of alkenes, alkynes, and aromatics -- Table D3. Bond dissociation energies of C/H/O compounds -- Table D4. Bond dissociation energies of sulfur-containing compounds -- Table D5. Bond dissociation energies of nitrogen-containing compounds -- Table D6. Bond dissociation energies of halocarbons -- APPENDIX E. FLAMMABILITY LIMITS IN AIR -- Table E1. Flammability limits of fuel gases and vapors in air at 25°C and 1 atm -- APPENDIX F. LAMINAR FLAME SPEEDS -- Table F1. Burning velocities of various fuels at 25°C air-fuel temperature (0.31 mol% H[sub(2)]O in air). Burning velocity S as a function of equivalence ratio ø in cm/s -- Table F2. Burning velocities of various fuels at 100°C air-fuel temperature (0.31 mol% H[sub(2)]O in air). Burning velocity S as a function of equivalence ratio ø in cm/s -- Table F3. Burning velocities of various fuels in air as a function of pressure for an equivalence ratio of 1 in cm/s -- APPENDIX G. SPONTANEOUS IGNITION TEMPERATURE DATA -- Table G1. Spontaneous ignition temperature data -- APPENDIX H. MINIMUM SPARK IGNITION ENERGIES AND QUENCHING DISTANCES -- Table H1. Minimum spark ignition energy data for fuels in air at 1 atm pressure -- APPENDIX I. PROGRAMS FOR COMBUSTION KINETICS -- A. Thermochemical parameters -- B. Kinetic parameters -- C. Transport parameters -- D. Reaction mechanisms -- E. Thermodynamic equilibrium -- F. Temporal kinetics (Static and flow reactors) -- G. Stirred reactors. H. Shock tubes. Combustion Engineering, a topic generally taught at the upper undergraduate and graduate level in most mechanical engineering programs, and many chemical engineering programs, is the study of rapid energy and mass transfer usually through the common physical phenomena of flame oxidation. It covers the physics and chemistry of this process and the engineering applications-from the generation of power such as the internal combustion automobile engine to the gas turbine engine. Renewed concerns about energy efficiency and fuel costs, along with continued concerns over toxic and particulate emissions have kept the interest in this vital area of engineering high and brought about new developments in both fundamental knowledge of flame and combustion physics as well as new technologies for flame and fuel control. *New chapter on new combustion concepts and technologies, including discussion on nanotechnology as related to combustion, as well as microgravity combustion, microcombustion, and catalytic combustion-all interrelated and discussed by considering scaling issues (e.g., length and time scales). *New information on sensitivity analysis of reaction mechanisms and generation and application of reduced mechanisms *Expanded coverage of turbulent reactive flows to better illustrate real-world applications *Important new sections on stabilization of diffusion flames. For the first time, the concept of triple flames will be introduced and discussed in the context of diffusion flame stabilization. EBL201805 Chemical Physics and Chemistry SzGeCERN BOOK Yetter, Richard A https://cds.cern.ch/auth.py?r=EBLIB_P_365575 ebook n 201819 21 PUBLIC BOOK DELETED 2317473 SzGeCERN 20210202231112.0 9780080529417 electronic version electronic version 9780122858529 print version oai:cds.cern.ch:2317473 cerncds:BOOK EBL 331918 eng QD516.G55 1996 541/.361 Glassman, Irvin Combustion 3rd ed. San Diego, CA Elsevier Science & Technology 1997 651 p ebook Combustion Front Cover -- Combustion -- Copyright Page -- Contents -- Preface -- Acknowledgments -- Chapter 1. Chemical Thermodynamics and Flame Temperatures -- A. Introduction -- B. Heats of Reaction and Formation -- C. Free Energy and the Equilibrium Constants -- D. Flame Temperature Calculations -- Problems -- References -- Chapter 2. Chemical Kinetics -- A. Introduction -- B. Rates of Reactions and Their Temperature Dependence -- C. Simultaneous Interdependent Reactions -- D. Chain Reactions -- E. Pseudo-First-Order Reactions and the "Fall-Off" Range -- F. The Partial Equilibrium Assumption -- G. Pressure Effect in Fractional Conversion -- Problems -- References -- Chapter 3. Explosive and General Oxidative Characteristics of Fuels -- A. Introduction -- B. Chain Branching Reactions and Criteria for Explosion -- C. Explosion Limits and Oxidation Characteristics of Hydrogen -- D. Explosion Limits and Oxidation Characteristics of Carbon Monoxide -- E. Explosion Limits and Oxidation Characteristics of Hydrocarbons -- F. The Oxidation of Aldehydes -- G. The Oxidation of Methane -- H. The Oxidation of Higher-Order Hydrocarbons -- Problems -- References -- Chapter 4. Flame Phenomena in Premixed Combustible Gases -- A. Introduction -- B. Laminar Flame Structure -- C. The Laminar Flame Speed -- D. Stability Limits of Laminar Flames -- E. Turbulent Reacting Flows and Turbulent Flames -- F. Stirred Reactor Theory -- G. Flame Stabilization in High-Velocity Streams -- Problems -- References -- Chapter 5. Detonation -- A. Introduction -- B. Detonation Phenomena -- C. Hugoniot Relations and the Hydrodynamic Theory of Detonations -- D. Comparison of Detonation Velocity Calculations with Experimental Results -- E. The ZND Structure of Detonation Waves -- F. The Structure of the Cellular Detonation Front and Other Detonation Phenomena Parameters. G. Detonations in Nongaseous Media -- Problems -- References -- Chapter 6. Diffusion Flames -- A. Introduction -- B. Gaseous Fuel Jets -- C. Burning of Condensed Phases -- D. Burning of Droplet Clouds -- E. Burning in Convective Atmospheres -- Problems -- References -- Chapter 7. Ignition -- A. Concepts -- B. Chain Spontaneous Ignition -- C. Thermal Spontaneous Ignition -- D. Forced Ignition -- Problems -- References -- Chapter 8. Environmental Combustion Considerations -- A. Introduction -- B. The Nature of Photochemical Smog -- C. Formation and Reduction of Nitrogen Oxides -- D. SOx Emissions -- E. Particulate Formation -- F. Stratospheric Ozone -- Problems -- References -- Chapter 9. Combustion of Nonvolatile Fuels -- A. Carbon Char, Soot, and Metal Combustion -- B. Metal Combustion Thermodynamics -- C. Diffusional Kinetics -- D. Diffusion-Controlled Burning Rate -- E. The Burning of Porous Chars -- F. The Burning Rate of Ash-Forming Coal -- Problems -- References -- Appendixes -- A. Thermochemical Data and Conversion Factors -- B. Specific Reaction Rate Constants -- C. Bond Dissociation Energies of Hydrocarbons -- D. Laminar Flame Speeds -- E. Flammability Limits in Air -- F. Spontaneous Ignition Temperature Data -- G. Minimum Spark Ignition Energies and Quenching Distances -- H. Programs for Combustion Kinetics -- Author Index -- Subject Index. This Third Edition of Glassman's classic text clearly defines the role of chemistry, physics, and fluid mechanics as applied to the complex topic of combustion. Glassman's insightful introductory text emphasizes underlying physical and chemical principles, and encompasses engine technology, fire safety, materials synthesis, detonation phenomena, hydrocarbon fuel oxidation mechanisms, and environmental considerations. Combustion has been rewritten to integrate the text, figures, and appendixes, detailing available combustion codes, making it not only an excellent introductory text but also an important reference source for professionals in the field. Key Features * Explains complex combustion phenomena with physical insight rather than extensive mathematics * Clarifies postulates in the text using extensive computational results in figures * Lists modern combustion programs indicating usage and availability * Relates combustion concepts to practical applications. EBL201805 Chemical Physics and Chemistry SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_331918 ebook n 201819 21 PUBLIC BOOK DELETED 2317468 SzGeCERN 20210421205016.0 9780080538976 electronic version electronic version 9780124241626 print version oai:cds.cern.ch:2317468 cerncds:BOOK EBL 311506 eng QA155.2.H36eb vol. 2 512 Hazewinkel, Michiel Physiology of woody plants 2nd ed. San Diego, CA Elsevier Science & Technology 1996 427 p ebook Front Cover -- Physiology of Woody Plants -- Copyright Page -- Contents -- Preface -- Chapter 1. Introduction -- HEREDITARY AND ENVIRONMENTAL REGULATION OF GROWTH -- PHYSIOLOGICAL REGULATION OF GROWTH -- PROBLEMS OF FORESTERS, HORTICULTURISTS, AND ARBORISTS -- SUMMARY -- GENERAL REFERENCES -- Chapter 2. The Woody Plant Body -- INTRODUCTION -- CROWN FORM -- STEM FORM -- VEGETATIVE ORGANS AND TISSUES -- LEAVES -- STEMS -- WOOD STRUCTURE OF GYMNOSPERMS -- WOOD STRUCTURE OF ANGIOSPERMS -- BARK -- ROOTS -- REPRODUCTIVE STRUCTURES -- SUMMARY -- GENERAL REFERENCES -- Chapter 3. Vegetative Growth -- INTRODUCTION -- DORMANCY -- SHOOT GROWTH -- SHOOT TYPES AND GROWTH PATTERNS -- SHOOT GROWTH IN THE TROPICS -- CAMBIAL GROWTH -- ROOT GROWTH -- SHEDDING OF PLANT PARTS -- MEASUREMENT AND ANALYSIS OF GROWTH -- SUMMARY -- GENERAL REFERENCES -- Chapter 4. Reproductive Growth -- INTRODUCTION -- SEXUAL REPRODUCTION IN ANGIOSPERMS -- SEXUAL REPRODUCTION IN GYMNOSPERMS -- MATURATION OF SEEDS -- ABSCISSION OF REPRODUCTIVE STRUCTURES -- SUMMARY -- GENERAL REFERENCES -- Chapter 5. Photosynthesis -- INTRODUCTION -- CHLOROPLAST DEVELOPMENT AND STRUCTURE -- THE PHOTOSYNTHETIC MECHANISM -- CARBON DIOXIDE UPTAKE BY PHOTOSYNTHETIC TISSUES -- CARBON ISOTOPE DISCRIMINATION DURING PHOTOSYNTHESIS -- VARIATIONS IN RATES OF PHOTOSYNTHESIS -- ENVIRONMENTAL FACTORS -- PLANT FACTORS -- SUMMARY -- GENERAL REFERENCES -- Chapter 6. Enzymes, Energetics, and Respiration -- INTRODUCTION -- ENZYMES AND ENERGETICS -- RESPIRATION -- RESPIRATION OF PLANTS AND PLANT PARTS -- FACTORS AFFECTING RESPIRATION -- ASSIMILATION -- SUMMARY -- GENERAL REFERENCES -- Chapter 7. Carbohydrates -- INTRODUCTION -- KINDS OF CARBOHYDRATES -- CARBOHYDRATE TRANSFORMATIONS -- USES OF CARBOHYDRATES -- ACCUMULATION OF CARBOHYDRATES -- AUTUMN COLORATION -- SUMMARY -- GENERAL REFERENCES. Chapter 8. Lipids, Terpenoids, and Related Substances -- INTRODUCTION -- LIPIDS -- WAXES, CUTIN, AND SUBERIN -- INTERNAL LIPIDS -- ISOPRENOIDS OR TERPENOIDS -- SUMMARY -- GENERAL REFERENCES -- Chapter 9. Nitrogen Metabolism -- INTRODUCTION -- DISTRIBUTION AND SEASONAL FLUCTUATIONS OF NITROGEN -- IMPORTANT NITROGEN COMPOUNDS -- NITROGEN REQUIREMENTS -- SOURCES OF NITROGEN -- THE NITROGEN CYCLE -- SUMMARY -- GENERAL REFERENCES -- Chapter 10. Mineral Nutrition -- INTRODUCTION -- FUNCTIONS OF MINERAL NUTRIENTS AND EFFECTS OF DEFICIENCIES -- ACCUMULATION AND DISTRIBUTION OF MINERAL NUTRIENTS -- MINERAL CYCLING -- THE SOIL MINERAL POOL -- LOSSES OF MINERAL NUTRIENTS FROM ECOSYSTEMS -- ABSORPTION OF MINERAL NUTRIENTS -- SUMMARY -- GENERAL REFERENCES -- Chapter 11. Absorption of Water and Ascent of Sap -- INTRODUCTION -- ABSORPTION OF WATER -- WATER ABSORPTION PROCESSES -- ROOT AND STEM PRESSURES -- ASCENT OF SAP -- THE WATER CONDUCTING SYSTEM -- SUMMARY -- GENERAL REFERENCES -- Chapter 12. Transpiration and Plant Water Balance -- TRANSPIRATION -- FACTORS AFFECTING TRANSPIRATION -- INTERACTIONS OF FACTORS AFFECTING TRANSPIRATION -- MEASUREMENT OF TRANSPIRATION -- TRANSPIRATION RATES -- WATER LOSS FROM PLANT STANDS -- THE WATER BALANCE -- EFFECTS OF WATER STRESS -- ADAPTATION TO DROUGHT -- SUMMARY -- GENERAL REFERENCES -- Chapter 13. Plant Hormones and Other Endogenous Growth Regulators -- INTRODUCTION -- NATURALLY OCCURRING PLANT HORMONES -- OTHER REGULATORY COMPOUNDS -- MECHANISMS OF HORMONE ACTION -- SUMMARY -- GENERAL REFERENCES -- Scientific and Common Names of Plants -- Bibliography -- Index. This completely revised classic volume is an up-to-date synthesis of the intensive research devoted to woody plants. Intended primarily as a text for students and a reference for researchers, this interdisciplinary book should be useful to a broad range of scientists from agroforesters, agronomists, and arborists to plant pathologists, ecophysiologists, and soil scientists. Anyone interested in plant physiology will find this text invaluable. Key Features * Includes supplementary chapter summaries and lists of general references * Provides a solid foundation of reference information * Thoroughly updated classic text/reference. EBL201805 Mathematical Physics and Mathematics SzGeCERN BOOK Kozlowski, Theodore T Pallardy, Stephen G https://cds.cern.ch/auth.py?r=EBLIB_P_311506 ebook n 201819 21 PUBLIC https://catalogue.library.cern/legacy/2317468 BOOK MIGRATED 2317466 SzGeCERN 20210421205017.0 9780080445298 print version 9780080531359 electronic version electronic version oai:cds.cern.ch:2317466 cerncds:BOOK EBL 311415 eng TJ163.3.D56 2007 531/.6 Dincer, Ibrahim Exergy energy, environment and sustainable development Kidlington Elsevier Science & Technology 2007 473 p ebook FRONT COVER -- EXERGY: ENERGY, ENVIRONMENT AND SUSTAINABLE DEVELOPMENT -- COPYRIGHT PAGE -- TABLE OF CONTENTS -- PREFACE -- ACKNOWLEDGMENTS -- ABOUT THE AUTHORS -- CHAPTER 1. THERMODYNAMIC FUNDAMENTALS -- 1.1. Introduction -- 1.2. Energy -- 1.2.1. Applications of energy -- 1.2.2. Concept of energy -- 1.2.3. Forms of energy -- 1.2.4. The first law of thermodynamics -- 1.2.5. Energy and the FLT -- 1.2.6. Economic aspects of energy -- 1.2.7. Energy audit methods -- 1.2.8. Energy management -- 1.3. Entropy -- 1.3.1. Order and disorder and reversibility and irreversibility -- 1.3.2. Characteristics of entropy -- 1.3.3. Significance of entropy -- 1.3.4. Carnot's contribution -- 1.3.5. The second law of thermodynamics -- 1.3.6. SLT statements -- 1.3.7. The Clausius inequality -- 1.3.8. Useful relationships -- 1.4. Exergy -- 1.4.1. The quantity exergy -- 1.4.2. Exergy analysis -- 1.4.3. Characteristics of exergy -- 1.4.4. The reference environment -- 1.4.5. Exergy vs. energy -- 1.4.6. Exergy efficiencies -- 1.4.7. Solar exergy and the earth -- 1.5. Illustrative examples -- 1.5.1. Illustrative example 1 -- 1.5.2. Illustrative example 2 -- 1.5.3. Illustrative example 3 -- 1.5.4. Illustrative example 4 -- 1.6. Closing remarks -- Problems -- CHAPTER 2. EXERGY AND ENERGY ANALYSES -- 2.1. Introduction -- 2.2. Why energy and exergy analyses? -- 2.3. Nomenclature -- 2.4. Balances for mass, energy and entropy -- 2.4.1. Conceptual balances -- 2.4.2. Detailed balances -- 2.5. Exergy of systems and flows -- 2.5.1. Exergy of a closed system -- 2.5.2. Exergy of flows -- 2.6. Exergy consumption -- 2.7. Exergy balance -- 2.8. Reference environment -- 2.8.1. Theoretical characteristics of the reference environment -- 2.8.2. Models for the reference environment -- 2.9. Efficiencies and other measures of merit -- 2.10. Procedure for energy and exergy analyses. 2.11. Energy and exergy properties -- 2.12. Implications of results of exergy analyses -- 2.13. Closing remarks -- Problems -- CHAPTER 3. EXERGY, ENVIRONMENT AND SUSTAINABLE DEVELOPMENT -- 3.1. Introduction -- 3.2. Exergy and environmental problems -- 3.2.1. Environmental concerns -- 3.2.2. Potential solutions to environmental problems -- 3.2.3. Energy and environmental impact -- 3.2.4. Thermodynamics and the environment -- 3.3. Exergy and sustainable development -- 3.3.1. Sustainable development -- 3.3.2. Sustainability and its need -- 3.3.3. Dimensions of sustainability -- 3.3.4. Environmental limits and geographic scope -- 3.3.5. Environmental, social and economic components of sustainability -- 3.3.6. Industrial ecology and resource conservation -- 3.3.7. Energy and sustainable development -- 3.3.8. Energy and environmental sustainability -- 3.3.9. Exergy and sustainability -- 3.3.10. Exergetic aspects of sustainable processes -- 3.3.11. Renewables and tools for sustainable development -- 3.3.12. Exergy as a common sustainability quantifier for process factors -- 3.4. Illustrative example -- 3.4.1. Implications regarding exergy and energy -- 3.4.2. Implications regarding exergy and the environment -- 3.4.3. Implications regarding exergy and sustainable development -- 3.5. Closing remarks -- Problems -- CHAPTER 4. APPLICATIONS OF EXERGY IN INDUSTRY -- 4.1. Introduction -- 4.2. Questions surrounding industry's use of exergy -- 4.3. Advantages and benefits of using exergy -- 4.3.1. Understanding thermodynamic efficiencies and losses through exergy -- 4.3.2. Efficiency -- 4.3.3. Loss -- 4.3.4. Examples -- 4.3.5. Discussion -- 4.4. Understanding energy conservation through exergy -- 4.4.1. What do we mean by energy conservation? -- 4.4.2. Exergy conservation -- 4.4.3. Examples -- 4.5. Disadvantages and drawbacks of using exergy. 4.6. Possible measures to increase applications of exergy in industry -- 4.7. Closing remarks -- Problems -- CHAPTER 5. EXERGY IN POLICY DEVELOPMENT AND EDUCATION -- 5.1. Introduction -- 5.2. Exergy methods for analysis and design -- 5.3. The role and place for exergy in energy-related education and awareness policies -- 5.3.1. Public understanding and awareness of energy -- 5.3.2. Public understanding and awareness of exergy -- 5.3.3. Extending the public's need to understand and be aware of exergy to government and the media -- 5.4. The role and place for exergy in education policies -- 5.4.1. Education about exergy -- 5.4.2. The need for exergy literacy in scientists and engineers -- 5.4.3. Understanding the second law through exergy -- 5.4.4. Exergy's place in a curriculum -- 5.5. Closing remarks -- Problems -- CHAPTER 6. EXERGY ANALYSIS OF PSYCHROMETRIC PROCESSES -- 6.1. Basic psychrometric concepts -- 6.2. Balance equations for air-conditioning processes -- 6.3. Case study: exergy analysis of an open-cycle desiccant cooling system -- 6.3.1. Introduction -- 6.3.2. Operation and design of experimental system -- 6.3.3. Energy analysis -- 6.3.4. Exergy analysis -- 6.3.5. Results and discussion -- 6.4. Closing remarks -- Problems -- CHAPTER 7. EXERGY ANALYSIS OF HEAT PUMP SYSTEMS -- 7.1. Introduction -- 7.2. System description -- 7.3. General analysis -- 7.4. System exergy analysis -- 7.5. Results and discussion -- 7.6. Concluding remarks -- Problems -- CHAPTER 8. EXERGY ANALYSIS OF DRYING PROCESSES AND SYSTEMS -- 8.1. Introduction -- 8.2. Exergy losses associated with drying -- 8.3. Analysis -- 8.3.1. Balances -- 8.3.2. Exergy efficiency -- 8.4. Importance of matching supply and end-use heat for drying -- 8.5. Illustrative example -- 8.5.1. Approach -- 8.5.2. Results -- 8.5.3. Discussion. 8.6. Energy analysis of fluidized bed drying of moist particles -- 8.6.1. Fluidized bed drying -- 8.6.2. Thermodynamic model and balances -- 8.6.3. Efficiencies for fluidized bed drying -- 8.6.4. Effects of varying process parameters -- 8.6.5. Example -- 8.7. Concluding remarks -- Problems -- CHAPTER 9. EXERGY ANALYSIS OF THERMAL ENERGY STORAGE SYSTEMS -- 9.1. Introduction -- 9.2. Principal thermodynamic considerations in TES -- 9.3. Exergy evaluation of a closed TES system -- 9.3.1. Analysis of the overall processes -- 9.3.2. Analysis of subprocesses -- 9.3.3. Implications for subprocesses and overall process -- 9.4. Relations between temperature and efficiency for sensible TES -- 9.4.1. Model and analysis -- 9.4.2. Efficiencies and their dependence on temperature -- 9.5. Exergy analysis of thermally stratified storages -- 9.5.1. General stratified TES energy and exergy expressions -- 9.5.2. Temperature-distribution models and relevant expressions -- 9.5.3. Increasing TES exergy storage capacity using stratification -- 9.6. Energy and exergy analyses of cold TES systems -- 9.6.1. Energy balances -- 9.6.2. Exergy balances -- 9.6.3. Efficiencies -- 9.7. Exergy analysis of aquifer TES systems -- 9.7.1. ATES model -- 9.7.2. Energy and exergy analyses -- 9.8. Examples and case studies -- 9.8.1. Inappropriateness of energy efficiency for TES evaluation -- 9.8.2. Comparing thermal storages -- 9.8.3. Thermally stratified TES -- 9.8.4. Cold TES -- 9.8.5. Aquifer TES -- 9.9. Concluding remarks -- Problems -- CHAPTER 10. EXERGY ANALYSIS OF RENEWABLE ENERGY SYSTEMS -- 10.1. Exergy analysis of solar photovoltaic systems -- 10.1.1. PV performance and efficiencies -- 10.1.2. Physical exergy -- 10.1.3. Chemical exergy -- 10.1.4. Illustrative example -- 10.1.5. Closure -- 10.2. Exergy analysis of solar ponds -- 10.2.1. Solar ponds. 10.2.2. Experimental data for a solar pond -- 10.2.3. Energy analysis -- 10.2.4. Exergy analysis -- 10.2.5. Closure -- 10.3. Exergy analysis of wind energy systems -- 10.3.1. Wind energy systems -- 10.3.2. Energy and exergy analyses of wind energy aspects -- 10.3.3. Case study -- 10.3.4. Spatio-temporal wind exergy maps -- 10.3.5. Closure -- 10.4. Exergy analysis of geothermal energy systems -- 10.4.1. Case study 1: energy and exergy analyses of a geothermal district heating system -- 10.4.2. Case study 2: exergy analysis of a dual-level binary geothermal power plant -- 10.5. Closing remarks -- Problems -- CHAPTER 11. EXERGY ANALYSIS OF STEAM POWER PLANTS -- 11.1. Introduction -- 11.2. Analysis -- 11.2.1. Balances -- 11.2.2. Overall efficiencies -- 11.2.3. Material energy and exergy values -- 11.3. Spreadsheet calculation approaches -- 11.4. Example: analysis of a coal steam power plant -- 11.5. Example: impact on power plant efficiencies of varying boiler temperature and pressure -- 11.6. Case study: energy and exergy analyses of coal-fired and nuclear steam power plants -- 11.6.1. Process descriptions -- 11.6.2. Approach -- 11.6.3. Analysis -- 11.6.4. Results -- 11.6.5. Discussion -- 11.7. Improving steam power plant efficiency -- 11.7.1. Exergy-related techniques -- 11.7.2. Computer-aided design, analysis and optimization -- 11.7.3. Maintenance and control -- 11.7.4. Steam generator improvements -- 11.7.5. Condenser improvements -- 11.7.6. Reheating improvements -- 11.7.7. Regenerative feedwater heating improvements -- 11.7.8. Improving other plant components -- 11.8. Closing remarks -- Problems -- CHAPTER 12. EXERGY ANALYSIS OF COGENERATION AND DISTRICT ENERGY SYSTEMS -- 12.1. Introduction -- 12.2. Cogeneration -- 12.3. District energy -- 12.4. Integrated systems for cogeneration and district energy. 12.5. Simplified illustrations of the benefits of cogeneration. This book deals with exergy and its applications to various energy systems and applications as a potential tool for design, analysis and optimization, and its role in minimizing and/or eliminating environmental impacts and providing sustainable development. In this regard, several key topics ranging from the basics of the thermodynamic concepts to advanced exergy analysis techniques in a wide range of applications are covered as outlined in the contents. - Comprehensive coverage of exergy and its applications - Connects exergy with three essential areas in terms of energy, environment and sustainable development - Presents the most up-to-date information in the area with recent developments - Provides a number of illustrative examples, practical applications, and case studies - Easy to follow style, starting from the basics to the advanced systems. EBL201805 Other Fields of Physics SzGeCERN EBL Energy conservation EBL Exergy EBL System analysis BOOK Rosen, Marc A https://cds.cern.ch/auth.py?r=EBLIB_P_311415 ebook n 201819 21 PUBLIC https://catalogue.library.cern/legacy/2317466 BOOK MIGRATED 2316702 SzGeCERN 20210422083434.0 9783319740850 print version 9783319740867 electronic version electronic version DOI 10.1007/978-3-319-74086-7 e-proceedings oai:cds.cern.ch:2316702 cerncds:CONF eng QA313 23 515.39 23 515.48 20150401 Modeling, Dynamics, Optimization and Bioeconomics III Berkeley, CA, USA 1 - 2 Apr 2015 2015 berkeley20150401 4 US 20150402 Cham Springer 2018 ebook Springer proceedings in mathematics & statistics 224 2194-1009 Preface -- Optimal Regional Regulation of Animal Waste: Antti Iho, Doug Parker and David Zilberman -- An Overview of Synchrony in Coupled Cell Networks: Manuela A. D. Aguiar and Ana P. S. Dias -- Inexact Subspace Iteration for the Consecutive Solution of Linear Systems with Changing Right-Hand Sides: Carlos Balsa, Michel Daydé, José M.L.M. Palma and Daniel Ruiz -- Location Around Big Cities as Central Places: Fernando Barreiro-Pereira -- Predicting Energy Demand in Spain and Compliance with the Greenhouse Gas Emissions Agreements: Diego Bodas-Sagi and José M. Labeaga -- Simulation and Advanced Control of the Continuous Biodiesel Production Process: Ana S. R. Brásio, Andrey Romanenko and Natércia C. P. Fernandes -- Prior Information in Bayesian Linear Multivariate Regression: J. Casaca -- Perceptions of True and Fair View: Effects of Professional Status and Maturity: José A. Gonzalo-Angulo, Anne M. Garvey and Laura Parte -- Topics of Disclosure on the Websites: An Empirical Analysis for FinTech Companies: Teresa Herrador-Alcaide and Montserrat Hernández Solís -- On the Thin Boundary of the Fat Attractor: Artur O. Lopes and Elismar R. Oliveira -- Transport and Large Deviations for Schrodinger Operators and Mather Measures: A. O. Lopes and Ph. Thieullen -- Dynamics of a Fixed Bed Adsorption Column in the Kinetic Separation of Hexane Isomers in MOF ZIF-8: Patrícia A. P Mendes, Alírio E. Rodrigues, João P. Almeida and José A. C. Silva -- A Simulation Model for the Physiological Tick Life Cycle: Nabil Nassif, Dania Sheaib and Ghina El Jannoun -- Long-term Value Creation in Mergers and Acquisitions: Contribution to the Debate: Julio Navío-Marco and Marta Solórzano-García -- Cournot Duopolies with Investment in R&D: Regions of Nash Investment Equilibria: B.M.P.M. Oliveira, J. Becker Paulo, A.A. Pinto -- On a Stochastic Logistic Growth Model with Predation: an Overview of the Dynamics and Optimal Harvesting: Susana Pinheiro -- Myopia of Governments and Optimality of Irreversible Pollution Accumulation: Laura Policardo -- Stochastic Modelling of Biochemical Networks and Inference of Model Parameters: Vilda Purutçuoglu -- Complete Nonholonomy of the Rolling Ellipsoid - A Constructive Proof: F. Rüppel, F. Silva Leite and R. C. Rodrigues -- Methodological Approaches to Analyse Financial Exclusion From an Urban Perspective: Cristina Ruza-Paz-Curbera, Beatriz Fernández-Olit and Marta de la Cuesta-González -- Prospective Study about the Influence of Human Mobility in Dengue Transmission in the State of Rio de Janeiro: Bruna C. dos Santos, Larissa M. Sartori, Claudia Peixoto, Joyce S. Bevilacqua and Sergio M. Oliva -- The Impact of the Public-Private Investments in Infrastructure on Agricultural Exports in Latin American Countries: Bárbara Soriano and Amelia Pérez Zabaleta -- Major Simulation Tools for Biochemical Networks: Gökçe Tuncer and Vilda Purutçuoglu. The research and review papers presented in this volume provide an overview of the main issues, findings, and open questions in cutting-edge research on the fields of modeling, optimization and dynamics and their applications to biology, economics, energy, finance, industry, physics and psychology.  Given the scientific relevance of the innovative applications and emerging issues they address, the contributions to this volume, written by some of the world’s leading experts in mathematics, economics and other applied sciences, will be seminal to future research developments and will spark future works and collaborations.  The majority of the papers presented in this volume were written by participants of the 4th International Conference on Dynamics, Games and Science: Decision Models in a Complex Economy (DGS IV), held at the National Distance Education University (UNED) in Madrid, Spain in June 2016 and of the 8th Berkeley Bioeconomy Conference: The Future of Biofuels, held at the UC Berkeley Alumni House in April 2015. Mathematics and statistics SPR201805 SzGeCERN Mathematical Physics and Mathematics SPR Physical geography SPR Environmental sciences SPR Economic theory SPR Economic TheoryQuantitative EconomicsMathematical Methods SPR Earth System Sciences SPR Math Appl in Environmental Science CONFERENCE PROCEEDINGS Pinto, Alberto ed. Zilberman, David ed. DGS IV Bioeconomy VIII 20160614 Modeling, Dynamics, Optimization and Bioeconomics III Madrid, Spain 14 - 17 Jun 2016 8 ES 20160617 201805 SPR n 201818 42 PUBLIC https://catalogue.library.cern/legacy/2316702 PROCEEDINGS MIGRATED 2316699 SzGeCERN 20210422083436.0 9783319739052 print version 9783319739069 electronic version electronic version DOI 10.1007/978-3-319-73906-9 e-proceedings oai:cds.cern.ch:2316699 cerncds:CONF eng QA276-280 23 519.5 20160610 Studies in Theoretical and Applied Statistics Salerno, Italy 8 - 10 Jun 2016 2016 salerno20160610 IT SIS 2016 20160608 Cham Springer 2018 ebook Springer proceedings in mathematics & statistics 227 2194-1009 1 C. Favre-Martinoz et al., Robustness in survey sampling using the conditional bias approach with R implementation -- 2 F. Andreis et al., Methodological perspectives for surveying rare and clustered population: towards a sequentially adaptive approach -- 3 M. L. Aversa et al., Age management in Italian companies. Findings from two INAPP surveys -- 4 M. Calzaroni et al., Generating high quality administrative data: new technologies in a national statistical reuse perspective -- 5 T. Tuoto et al., Exploring solutions for linking Big Data in Official Statistics -- 6 C. Franceschini and N. Loperfido, An Algorithm for Finding Projections with Extreme Kurtosis -- 7 L. Egidi et al., Maxima Units Search (MUS) algorithm: methodology and applications -- 8 D. Passaretti and D. Vistocco, DESPOTA: an algorithm to detect the partition in the extended hierarchy of a dendrogram -- 9 F. Pauli, The p-value case, a review of the debate: issues and plausible remedies -- 10 J. Koskinen et al., A dynamic discrete-choice model for movement flows -- 11 G. Ragozini et al., On the Analysis of Time-Varying Affiliation Networks: the Case of Stage Co-productions -- 12 M. Ichino and K. Umbleja, Similarity and Dissimilarity Measures for Mixed Feature-type Symbolic Data -- 13 L. D'Ambra et al., Dimensionality reduction methods for contingency tables with ordinal variables -- 14 R. Gerlach and G. Storti, Extended Realized GARCH models -- 15 L. Crosato and B. Zavanella, Updating CPI weights through compositional VAR forecasts: an application to the Italian index -- 16 P. Chirico, Prediction intervals for heteroscedastic series by Holt-Winters methods -- 17 F. Benassi et al., Measuring residential segregation of selected foreign groups with aspatial and spatial evenness indices. A case study -- 18 G. Adelfio et al., Space-time FPCA  clustering of multidimensional curves -- 19 D. Rocchini et al., The power of generalized entropy for biodiversity assessment by remote sensing: an open source approach -- 20 A. Lepore et al., An empirical approach to monitoring ship CO^2 emissions via Partial Least-Squares regression -- 21 A. Valentini et al., Promoting statistical literacy to university students: a new approach adopted by Istat -- 22 M. Enea, From South to North? Mobility of Southern Italian students at the transition from the first to the second level university degree -- 23 G. Leckie and H. Goldstein, Monitoring school performance using value-added and value-table models: Lessons from the UK -- 24 G. D'Epifanio, Indexing the Normalized Worthiness of Social Agents -- 25 E. Baldacci, Financial Crises and their Impacts: Data Gaps and Innovation in Statistical Production -- 26 A. Coli and B. Pacini, European welfare systems in official statistics: the national and local levels -- 27 M. Costa, Financial variables analysis by inequality decomposition -- 28 E. Grimaccia and T. Rondinella, A novel perspective in the analysis of sustainability, inclusion and smartness of growth through Europe 2020 indicators -- 29 I. Mingo et al., The Italian population behaviours toward environmental sustainability: a study from Istat surveys -- 30 C. Giusti and S. Marchetti, Estimating the at risk of poverty rate before and after social transfers at provincial level in Italy. This book includes a wide selection of the papers presented at the 48th Scientific Meeting of the Italian Statistical Society (SIS2016), held in Salerno on 8-10 June 2016. Covering a wide variety of topics ranging from modern data sources and survey design issues to measuring sustainable development, it provides a comprehensive overview of the current Italian scientific research in the fields of open data and big data in public administration and official statistics, survey sampling, ordinal and symbolic data, statistical models and methods for network data, time series forecasting, spatial analysis, environmental statistics, economic and financial data analysis, statistics in the education system, and sustainable development. Intended for researchers interested in theoretical and empirical issues, this volume provides interesting starting points for further research. Mathematics and statistics SPR201805 SzGeCERN Mathematical Physics and Mathematics SPR Statistics SPR Statistical Theory and Methods SPR Statistics for BusinessEconomicsMathematical FinanceInsurance SPR Statistics and ComputingStatistics Programs SPR Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law PROCEEDINGS CONFERENCE Perna, Cira ed. Pratesi, Monica ed. Ruiz-Gazen, Anne ed. SIS 2016 Acronym SIS2016 201805 SPR n 201818 42 PUBLIC https://catalogue.library.cern/legacy/2316699 PROCEEDINGS MIGRATED 2316612 SzGeCERN 20210421205021.0 9781118979297 111897929X 9781118979341 oai:cds.cern.ch:2316612 cerncds:BOOK SAFARI on1031030112 OCoLC 1031030112 eng HA31.38 Sueyoshi, T Environmental assessment on energy and sustainability by data envelopment analysis Hoboken, NJ John Wiley & Sons 2018 mult. p ebook Wiley series in operations research and management science SAF201805 SzGeCERN Engineering SAF Data envelopment analysis SAF Environmental impact analysis SAF Factory and trade waste BOOK Goto, Mika https://learning.oreilly.com/library/view/-/9781118979341/?ar ebook n 201818 21 PUBLIC https://catalogue.library.cern/legacy/2316612 BOOK MIGRATED 2316424 SzGeCERN 20210421205055.0 9781118974452 9781118974421 1118974425 oai:cds.cern.ch:2316424 cerncds:BOOK SAFARI on1031279430 OCoLC 1031279430 eng HM668 Social systems engineering the design of complexity Hoboken, NJ John Wiley & Sons 2018 mult. p ebook Wiley series in computational and quantitative social science Introduction The why what and how of social systems engineering César García-Díaz and Camilo Olaya -- Social systems engineering the very idea Compromised exactness and the rationality of engineering Steven L Goldman Uncertainty in the design and maintenance of social systems William M Bulleit System farming Bruce Edmonds Policy between evolution and engineering Martin FG Schaffernicht 'Friend' versus 'electronic friend' Joseph C Pitt -- Methodologies and tools Interactive visualizations for supporting decision-making in complex socio-technical systems Zhongyuan Yu Mehrnoosh Oghbaie Chen Liu William B Rouse and Michael J Pennock Developing agent-based simulation models for social systems engineering studies a novel framework and its application to modelling peacebuilding activities Peer-Olaf Siebers Grazziela P Figueredo Miwa Hirono and Anya Skatova Using actor-network theory in agent-based modelling Sandra Méndez-Fajardo Rafael A Gonzalez and Ricardo A Barros-Castro Engineering the process of institutional innovation in contested territory Russell C Thomas and John S Gero -- Cases and applications Agent-based exploration of environmental consumption in segregated networks Adam Douglas Henry and Heike I Brugger Modelling in the 'muddled middle' a case study of water service delivery in post-apartheid South Africa Jai K Clifford-Holmes Jill H Slinger Chris de Wet and Carolyn G Palmer Holistic system design the Oncology Carinthia study Markus Schwaninger and Johann Klocker Reinforcing the social in social systems engineering lessons learnt from Smart City projects in the United Kingdom Jenny O'Connor Zeynep Gurguc and Koen H van Dam SAF201805 SzGeCERN Commerce, Economics, Social Science SAF Social engineering SAF Social systems SAF System theory BOOK García-Díaz, Cesar ed. Olaya, Camilo ed. https://learning.oreilly.com/library/view/-/9781118974452/?ar ebook n 201818 21 PUBLIC https://catalogue.library.cern/legacy/2316424 BOOK MIGRATED 2316412 SzGeCERN 20210421205057.0 9780470672358 9781119063766 1119063760 oai:cds.cern.ch:2316412 cerncds:BOOK SAFARI on1031279326 OCoLC 1031279326 eng TH880 Sustainable building design principles and practice Hoboken, NJ John Wiley & Sons 2018 mult. p ebook Introduction -- Master planning -- Transport -- Energy -- The building envelope -- Environmental services -- Materials SAF201805 SzGeCERN Engineering SAF Sustainable buildings SAF Sustainable construction BOOK Keeping, Miles ed. Shiers, David ed. https://learning.oreilly.com/library/view/-/9780470672358/?ar ebook n 201818 21 PUBLIC https://catalogue.library.cern/legacy/2316412 BOOK MIGRATED 2623524 SzGeCERN 20210421204642.0 9781119418160 print version 9781119418429 electronic version electronic version oai:cds.cern.ch:2623524 cerncds:BOOK EBL 5380456 eng TK1005 .S254 2018 621.31028/6 Sakellariou, Nicholas Life cycle assessment of energy systems closing the ethical loophole of social sustainability Newark, NJ John Wiley & Sons 2018 369 p ebook Cover -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgements -- Part I ENGINEERING AND SUSTAINABILITY -- 1 Engineering Sustainability, Sustaining Engineering -- Introduction -- The Sustainable, Yet Invisible, Engineer -- What Prompts the Sustainability Engineer? The Ideologies of Technological Change and Technopolitics -- Recasting Engineering Progress as the Golem-Like View of Sustainability -- The Rationalities of Engineering Ideologies of Sustainability -- Conclusion -- 2 A Critical History of Sustainability Engineering -- Common Departures -- Sustainability's Technological Change Roots -- Familiar Ideological Bases for Engineering Theories of Sustainability -- Speaking to the Converted: Institutional and Ideological Alliances -- Development Institutions and Corporations Ratifying Sustainability Engineering -- Sustainability and Technological Change in the 1995 US National Security Strategy -- Engineers Going for Sustainability (1985-1997) -- Engineering Groundwork (1985-1991): The Institutions and Metrics of Sustainability -- From Invisible Engineers to Facilitators of Global Stewardship -- The Turn to Quantifying Sustainability -- The US-Led World Engineering Partnership for Sustainable Development -- Meeting the Challenge to not be Left Behind (1998-2003) -- WFEO's ComTech and Engineering Sustainability Through Public Private Partnerships -- Claiming Technology's Territory, Stretching Sustainability's Boundaries: US Engineers and the Earth Charter -- Conclusion -- 3 Resisting Sustainability -- Negotiating Ideas about Self and Nature: the Case of American Engineers for Social Responsibility (AESR), 1988-1994 -- Conclusion -- Part II LIFE CYCLE ANALYSIS -- 4 When Social Values Make an Entry -- Introduction -- Targeting the Social Risks: Fitting the Life Cycle Perspective into Corporate Social Responsibility. Social Sustainability Tinkerers -- Sustainable Development, Corporate Social Responsibility, and Life Cycle Assessment -- Social Auditing Pioneers and the Global Reporting Initiative (GRI) -- Conclusion -- What is "Natural"? -- 5 Social Life Cycle Assessment (SLCA) Rationalities -- SLCA Understandings and Verbalizations of Sustainability -- Entwined Ontological, Epistemological, and Methodological Anxieties -- "Almost Moral": SLCA Limitations -- Toward Greater Democracy in SLCA? -- Do SLCAs Have Politics? -- The Potential Technopolitics Function of "Non-Implemented" Life Cycle Scenarios -- Widening Sustainability Competencies Beyond the Engineering World -- Conclusion -- Part III Case Studies -- 6 Life Cycle Sustainability, Renewable Energy Project Development, and the Exclusion of Local Knowledge in California's Western Antelope Valley (WAV) -- Introduction -- Sustainability Engineering Downplaying Local Knowledge -- Solar Developers and Local Communities in the WAV: An Unsustainable Relationship -- Mistrust and hostility: Perceptions of Engineering and Community Engagement in RE project development in the WAV -- Setting an "Engagement" Precedent, Breaking with Transparency -- Conclusion -- Savvy Desert Rats versus Arrogant Corporate Suits: Planning Paradoxes and Perceptions of RE Engineering in the WAV -- 7 Through an Ethnographic Lens: Local-Regional Politics of Utility Solar and Wind Siting in California -- The Cinderella of Utility-scale Renewables -- The Fabrication of a "Competitive Renewable Energy Zone" -- Rushed RE Project Development: Planning After the Fact in the Californian Wild West -- WAV Rural Town Councils: A Lack of Due Diligence While Creating Animosity and Division -- Opaque and Contentious by Design: LA County's Inaugural Utility-scale Solar PV Projects -- The Letter of the Law and a Double Standard. Antelope Valley Solar Ranch 1 (Solar Ranch One) Collapsing Consensus: Factionalism and the Loss of Legitimacy -- Recurring Waves of Factionalism and Mistrust: The Fairmont Butte Motor Sports Park and Solar Ranch One's Biological Mitigation -- Sowing seeds of Mistrust: From Non-Transparent Permitting and Mitigation to Boomerang Construction Hurdles -- NRG Energy Alpine Solar Project -- Blue Sky Thinking: Siting Utility-scale Wind projects in Rural LA County -- Attitudes one is Bound to Mistrust: NextEra Energy and Element Power's Attempts to Reset RE Industry Local Engagement Standards in the WAV -- Conclusion -- Wrong Time, Wrong Place -- Perceptions of Community Engagement -- 8 Epilogue -- Bibliography -- Appendix 1: Solar Ranch One Timeline (Siting, Permitting, Financing and Pre-Construction) -- Appendix 2: Sample of Community Concerns as Regards to the Solar Ranch One, Alpine, Wildflower and Blue Sky RE projects -- Index -- EULA. EBL201806 Engineering SzGeCERN EBL Electric power systems-Environmental aspects EBL Environmental impact analysis BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5380456 ebook n 201823 201806 21 PUBLIC https://catalogue.library.cern/legacy/2623524 BOOK MIGRATED 2623521 SzGeCERN 20210421204643.0 9783737604642 print version 9783737604659 electronic version electronic version oai:cds.cern.ch:2623521 cerncds:BOOK EBL 5380302 eng TK1001 .N463 2018 621.31 Nemati, Moshen Shiralizadeh Optimization of unit commitment and economic dispatch in microgrids based on genetic algorithm and mixed integer linear programming Kassel Kassel University Press 2018 189 p ebook Energy management and power system operation 3 Front cover -- Title page -- Imprint -- Acknowledgements -- Abstract -- Kurzfassung -- Content -- List of Abbreviations -- 1 Introduction -- 1.1 Background and Motivation -- 1.2 Objectives and Contribution of the Thesis -- 1.3 Outline of the Work -- 2 Energy Management System of Microgrids -- 2.1 Introduction -- 2.1.1 Traditional Concept of Energy Systems -- 2.1.2 Drivers of Distributed Generation Development -- 2.2 Microgrid Concept -- 2.3 Microgrid Benefits -- 2.4 Ancillary Services in / from the Microgrids -- 2.5 Challenges and Barriers of Microgrids -- 2.6 Market Models for Microgrids -- 2.6.1 Microgrids Internal Market Models -- 2.6.1.1 DSO Monopoly Model -- 2.6.1.3 Liberalized Market Model -- 2.6.1.2 Prosumer Consortium Model -- 2.6.2 Microgrids External Market -- 2.6.2.1 Extra Profiting from Local Supply -- 2.6.2.2 Energy Pricing Types -- 2.6.2.3 Microgrid Islanding Degree (MID) -- 2.7 Energy Management System Framework -- 3 Models and Operation Policies in Microgrid's EMS -- 3.1 Component Models and Assumptions in EMS -- 3.1.1 Semi-Controllable Intermittent RES -- 3.1.1.1 Photovoltaic Generator Model -- 3.1.1.2 Characteristic of the Wind Turbine Model -- 3.1.1.3 Active Power Control of RES -- 3.1.1.4 Reactive Power Limitations (Regulation Window) -- 3.1.1.5 Economic and Environmental Assumptions of RES -- 3.1.2 Distributed Dispatchable Generators (DDG) -- 3.1.2.1 Input-Output Characteristic of Thermal Units -- 3.1.2.2 Diesel Generator Model -- 3.1.2.3 Fuel Cell Model -- 3.1.2.4 Micro Gas Turbine Model -- 3.1.2.5 Other Operation Costs of DDG -- 3.1.3 Energy Storage System -- 3.2 Microgrid Operation Policies -- 3.2.1 Cost-Effective Operation (MOP 1) -- 3.2.2 Grid Supporting Mode (MOP 2) -- 3.2.3 Maximum Islanding Degree (MOP 3) -- 3.2.4 Eco-Friendly Operation (MOP 4) -- 3.2.5 Multifunctional Policy (MOP 5) -- 3.2.6 Reference Mode (REF). 4 Optimization of the Microgrids' UC and ED withGenetic Algorithm -- 4.1 Background and Basics -- 4.2 Main Features of the GA Related to the Work -- 4.3 Binary Coding vs. Real Encoding -- 4.4 Genetic Algorithm Process for UC & ED -- 4.5 Component Models and Inputs -- 4.6 Data Transformation and Encoding in p.u. Values -- 4.7 Reference Analysis Case -- 4.8 First Population Initialization -- 4.8.1 Random Initialization -- 4.8.2 Initialization Based on Priority List Method -- 4.8.3 Evaluation of Different Initializations Methods -- 4.9 Ranking of the Individuals -- 4.10 Selection of the Best Solutions -- 4.10.1 Tournament Selection -- 4.10.2 Elitism Selection -- 4.10.3 The Influence of Elitism Selection on the Optimization Results -- 4.11 Crossover Methods -- 4.11.1 Single Point Crossover (SPX) -- 4.11.2 Two Point Crossover (TPX) and Multi Point Crossover (MPX) -- 4.11.3 Simulated Binary Crossover (SBX) -- 4.11.4 Dynamic-Type Crossover (DTX) -- 4.11.5 Comparison of Different Crossover Methods -- 4.12 Mutation Process -- 4.12.1 Random Mutation Method (RM) -- 4.12.2 Semi-Probabilistic Mutation Method (SPM) -- 4.12.3 Adoptive Semi Probabilistic Mutation (ASPM) -- 4.12.4 Performance of Different Mutation Methods -- 4.13 Network Analysis Types -- 4.14 Constraints Handling and Penalty Function -- 4.14.1 Penalty Function -- 4.14.2 Influence of Different Penalty Assignment Methods on Convergenceand Searching -- 4.15 Niching Method and Similarity Function -- 4.16 Fitness Function Assignment -- 4.17 Optimal Selection / Setting of GA Modules and Operators -- 4.18 Stop Criteria -- 4.19 Smart (Selective) Network Consideration -- 4.20 Summary of the Chapter -- 5 MILP-Based Optimizer for Microgrid EMS -- 5.1 Features and Utilization of MILP -- 5.2 Structure of the Optimization Modules -- 5.3 Definition of Linear Optimizer Core. 5.3.1 Formulation of the Problem for MILP -- 5.3.2 MILP Solver and Related Techniques -- 5.4 Power Plow Optimization in Network Calculation Tool -- 5.4.1 Initial Power Flow Calculation Module (PFC) -- 5.4.2 Voltage Set Point Optimization (VSO) and Q-Redispatching -- 5.4.3 P - Redispatching Module (PR) -- 5.4.3.1 Dijkstra Algorithm -- 5.4.3.2 Hill Climbing Method -- 5.4.4 Unit Recommitment (URC) -- 5.4.5 RES Curtailment (RESC) by Overvoltages -- 5.4.6 Current Correction Module for Overloadings -- 5.5 Summary of the Chapter -- 6 Analysis of EMS Performance for a Test Microgrid -- 6.1 Introduction -- 6.2 Description of Analysis Process -- 6.3 Test Microgrid for EMS Case Studies -- 6.3.1 Operation Cost curve of Dispatchable Generators -- 6.3.2 Exchange Energy Price of the Main Grid -- 6.3.3 Setting of Algorithms -- 6.4 Microgrid Operation in Reference Case Study -- 6.5 Sensitivity Analysis of BSS Aging in MOP1 -- 6.6 Consideration of Network Constraints under MOP2 -- 6.6.1 Analysis of GA Performance with Voltage and Current Constraints -- 6.6.1.1 P-Q-Redispatching of MG with Consideration of Voltage Constraint -- 6.6.1.2 Effect of Consideration of Voltage and Loading in GA Results -- 6.6.2 Evaluation of MILP Modules with Network Constraint Violations -- 6.6.2.1 Voltage Correction via VSO, PR and URC Submodules in MILP -- 6.6.2.2 Evaluation of Current Correction Unit in the MILP-Based Optimizer -- 6.7 Microgrid Operation in Different Islanding Degrees (MOP3) -- 6.7.1 Congestion Management of Microgrid for Upper Grid -- 6.7.2 Microgrid Operation under Islanded Mode -- 6.7.3 Microgrid with Scheduled / Fixed Exchange Power with Macro-Grid -- 6.7.4 Sensitivity Analysis of Exchange Power to Energy Price -- 6.7.5 Sensitivity Analysis of DDG Activation to Uniform Energy Pricing -- 6.8 Reduction of Greenhouse Gases Production under MOP4. 6.9 Performance of GA in Highly Constrained Multi-ObjectiveProblem of MOP5 -- 6.10 Algorithm Performance and Speed in Smart PFC Mode -- 6.11 Conclusion of the Case Studies -- 7 Summary and Outlook -- 7.1 Summary -- 7.2 Outlook -- 8 Appendix -- 8.1 Diesel Generator Data Sheet of Cummins DG C90 D5 -- 8.2 Macro / Micro-Cycles and BSS Life Loss Calculation -- 8.3 The GA Setting and Microgrid Inputs for Case Study ofChapter 4 -- 8.4 Performed Analysis, GA Setting and Microgrid Inputs andPolicies in Chapter 6 -- 8.5 Examples of Defined SPM Mutation Process -- 8.6 Extra Results for Considering Network Constraints in EMS(Related to Chapter 6.6 -- 8.6.1 Small PV-Farm Power Curtailment in Case of Overloadings -- 8.6.2 Peak Shaving Performance of BSS in Case of Overloadings -- 8.7 Categorization and Comparison of the OptimizationMethods -- 8.7.1 Introduction -- 8.7.2 Evolutionary Algorithms -- 8.7.2.1 Genetic Algorithm -- 8.7.2.2 Particle Swarm Optimization -- 8.7.2.3 Ant Colony Search (ACS) -- 8.7.3 Mathematical Methods -- 8.7.3.1 Dynamic Programming -- 8.7.3.2 Lagrangian Relaxation -- 8.7.3.3 Mixed Integer Programming -- 8.7.4 Artificial Intelligence Techniques -- 8.7.4.1 Fuzzy Logic -- 8.7.4.2 Artificial Neural Network -- 8.7.5 Conclusion and Selection of the Methods -- 8.8 Parametrization of the GA -- 8.9 Summary of Advantages and Drawbacks of the DevelopedMILP-Based Optimization Method in Chapter 5 -- 8.10 Author's Publications -- 8.11 Supervised Bachelor and Master Theses -- 8.12 Bibliography -- Back cover. EBL201806 Engineering SzGeCERN EBL Electric power systems BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5380302 ebook n 201823 201806 21 PUBLIC https://catalogue.library.cern/legacy/2623521 BOOK MIGRATED 2623520 SzGeCERN 20210421204643.0 9780081020296 print version 9780081020302 electronic version electronic version oai:cds.cern.ch:2623520 cerncds:BOOK EBL 5380005 eng QC476.5 .D736 2018 535.35 Dramicanin, Miroslav Luminescence thermometry methods, materials, and applications San Diego, CA Elsevier Science & Technology 2018 304 p ebook Woodhead Publishing series in electronic and optical materials Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 - Introduction to Measurements of Temperature -- 1.1 - Why we measure temperature? -- 1.2 - The market share of temperature sensors and thermometers -- 1.3 - Historical background -- 1.4 - Why are novel concepts and methods for measuring temperature needed? -- References -- Chapter 2 - Temperature and Ways of Measuring It -- 2.1 - Introduction -- 2.2 - Temperature -- 2.3 - Primary thermometers -- 2.4 - The International Temperature Scale and the Provisional Low Temperature Scale -- 2.5 - Common thermometers and their classification -- 2.6 - Measurement errors (uncertainties) and performance characteristics of thermometers -- References -- Chapter 3 - Luminescence: The Basics, Methods, and Instrumentation -- 3.1 - Introduction -- 3.2 - Electromagnetic radiation and its interaction with mater -- 3.3 - Luminescence -- 3.4 - Luminescence in solids -- 3.5 - Quantum efficiency of emission: temperature quenching of luminescence -- 3.6 - Types of photoluminescence measurements -- 3.7 - Instrumentation used in photoluminescence measurements -- References -- Chapter 4 - Schemes for Temperature Read-Out From Luminescence -- 4.1 - Introduction -- 4.2 - Temperature sensing from excitation and emission band positions and bandwidths -- 4.3 - Sensing temperature from the intensity of a single emission band -- 4.4 - Ratiometric temperature sensing -- 4.5 - Temperature sensing using decay time -- 4.6 - Temperature sensing based on rise time -- 4.7 - Temperature sensing from luminescence polarization (anisotropy) -- 4.8 The generic luminescence thermometry system -- 4.9 - Static (time-integrated) versus time-resolved methods: pros and cons -- References -- Chapter 5 - Methods of Analysis for Luminescence Thermometry Measurements -- 5.1 - Introduction -- 5.2 - Removal of baseline offset. 5.3 - Dealing with noise -- 5.4 - Differentiation and integration of spectral data -- 5.5 - Quantification of the features of luminescence spectra -- 5.6 - Evaluation of lifetimes from time-resolved measurements -- 5.7 - Calculating the performance of a luminescence thermometer -- References -- Chapter 6 - Lanthanide and Transition Metal Ion Doped Materials for Luminescence Temperature Sensing -- 6.1 - Introduction -- 6.2 - Characteristics of lanthanide and transition metal ion luminescence centers -- 6.3 - Downshifting, upconverting, scintillating, and quantum-cutting phosphors -- 6.4 - Ways to prepare rare earth and transition metal doped materials -- 6.4.1 - Crystal Growth -- 6.4.2 - Preparation of Powders -- 6.4.2.1 - Processes Involving Solids -- 6.4.2.2 - Processes Involving Liquids-Solution Based -- 6.4.3 - Preparation of Thin Films and Coatings -- 6.4.4 - Glasses and Glass-Ceramics -- 6.5 - Lanthanide ion doped materials for temperature sensing -- 6.5.1 - Temperature Sensing Via Downshifting Emission -- 6.5.2 - Temperature Sensing Via Upconversion Emission -- 6.6 - Transition ion doped materials for temperature sensing -- References -- Chapter 7 - Luminescence Temperature Sensing Using Semiconductor Quantum Dots -- 7.1 - Introduction -- 7.2 - Semiconductor nanostructures and quantum confinement -- 7.3 - Luminescence of quantum dots -- 7.4 - Temperature sensing using various luminescence features of semiconductor quantum dots -- References -- Chapter 8 - Luminescence Temperature Sensing Using Organic Materials -- 8.1 - Introduction -- 8.2 - Dyes and organic pigments -- 8.3 - Dyes incorporated in functional polymers -- 8.4 - Exciplex-type probes -- 8.5 - Discrete metal-organic complexes -- 8.6 - Metal-organic frameworks -- References -- Chapter 9 - Applications of Luminescence Thermometry in Engineering -- 9.1 - Introduction. 9.2 - Thermal imaging of electronic circuits and electrical machines via luminescence -- 9.3 - Luminescence thermometry of fluid flows -- 9.4 - Thermal and environmental barrier coatings -- 9.5 - Surface temperature measurements using temperature-sensitive paints and phosphor coatings -- References -- Chapter 10 - Biomedical Applications of Luminescence Thermometry -- 10.1 - Introduction -- 10.2 - Optical properties of tissue -- biological windows -- 10.3 - Tissue fluorescence -- 10.4 - Intracellular and intercellular temperature measurements via luminescence -- 10.5 - Using luminescence for measurements of in-tumor temperature during thermal therapy -- 10.6 - Using luminescence thermometry to diagnose ischemia -- References -- Chapter 11 - Temperature Measurements at the Nanoscale -- 11.1 - Introduction -- 11.2 - Methods of nanoscale temperature measurement -- 11.3 - Temperature mapping of microfluidic and nanofluidic systems -- 11.4 - Luminescence thermal imaging in nanoelectronics -- References -- Chapter 12 - Achieving Multifunctionality by Combining Thermometry With Other Luminescence Applications -- 12.1 - Introduction -- 12.2 - Multifunctional and smart materials -- 12.3 - Luminescence sensing of pressure -- 12.4 - Luminescence sensing of an electric field -- 12.5 - Luminescence sensing of a magnetic field -- 12.6 - Luminescence sensing of structural and compositional changes in materials -- 12.7 - Luminescence sensing of chemical and biochemical analytes -- 12.8 - Luminescence biomedical and thermal imaging -- References -- Index -- Back cover. EBL201806 Other Fields of Physics SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5380005 ebook n 201823 201806 21 PUBLIC https://catalogue.library.cern/legacy/2623520 BOOK MIGRATED 2623517 SzGeCERN 20210421204643.0 9780128137864 electronic version electronic version 9780128137864 print version 9780128137871 electronic version electronic version oai:cds.cern.ch:2623517 cerncds:BOOK SAFARI 9780128137871 eng QA76.9.D32 .D447 2018 005.75 Raj, Pethuru A deep dive into NoSQL databases San Diego, CA Elsevier Science & Technology 2018 402 p ebook Advances in computers 109 Intro -- A Deep Dive into NoSQL Databases: The Use Cases and Applications -- Copyright -- Contents -- Preface -- Chapter One: A Detailed Analysis of NoSQL and NewSQL Databases for Bigdata Analytics and Distributed Computing -- 1. The Emergence of the Digital Era -- 2. Envisioning the Digital Intelligence-Inspired Transformations -- 3. The Significance of Next-Generation Data Analytics -- 3.1. Big Data Analytics -- 4. The Technologies and Tools for BDA -- 4.1. The Rise of Big Data Appliances -- 4.2. Big Data Processes -- 4.3. Apache Hadoop -- 5. The Prominent Big Data Analytics Use Cases -- 6. Real-Time Analytics -- 7. Streaming Analytics -- 8. IoT Data Analytics -- 9. Cognitive Analytics -- 10. Edge/Fog Device Analytics -- 11. Machine Data Analytics by Splunk -- 11.1. IBM Accelerator for Machine Data Analytics -- 12. The Rapid Rise of the Cloud Paradigm for Next-Generation Data Analytics -- 13. The Emergence of Data Analytics Platforms -- 14. Cloud Databases -- 15. The Rewarding Role of NoSQL Databases -- 16. Why NoSQL Databases? -- 17. The Classification of NoSQL Databases -- 18. Key-Value Data Stores -- 19. The Challenges -- 20. The Prominent Use Cases -- 21. The Best Practices -- 22. The Key Characteristics -- 23. Key-Value Database vs Cache -- 24. Columnar Databases -- 25. Document Databases -- 25.1. Document Examples -- 26. Graph Databases -- 26.1. Use Cases -- 27. When to Use NoSQL and SQL Databases -- 28. How NoSQL Databases Differ? -- 29. The Tangible Benefits of NoSQL -- 30. Summary -- Further Reading -- Chapter Two: NewSQL Databases and Scalable In-Memory Analytics -- 1. Introduction -- 2. In-Memory Databases -- 2.1. SQL Databases -- 2.1.1. Scaling Databases -- 2.1.2. Transparent Sharding Middleware -- 2.2. NoSQL Databases -- 2.3. NewSQL Databases -- 2.4. What Are In-Memory Database Systems? -- 2.5. How Are IMDBs Different?. 2.5.1. Partitioning/Sharding -- 2.5.2. Concurrency Control -- 2.5.3. Commit Processing -- 2.5.4. Indexing -- 2.5.5. Data Representation -- 2.5.6. Recovery -- 2.5.7. Replication -- 3. Use Cases -- 4. In-Memory Databases -- 4.1. Redis -- 4.2. VoltDB -- 4.3. Microsoft Hekaton -- 4.4. SAP HANA -- 5. Conclusion -- References -- Chapter Three: NoSQL Web Crawler Application -- 1. Introduction to Web Crawlers -- 1.1. Search Engine Back-End Database Generation -- 2. Features of Web Crawlers -- 3. Types of Web Crawler -- 3.1. Focused Web Crawler -- 3.2. Incremental Crawler -- 3.3. Distributed Crawler -- 3.4. Parallel Crawler -- 3.5. Traditional Web Crawlers -- 3.6. Open Source Web Crawlers -- 3.7. IoT Web Crawlers -- 4. APIs of Web Crawler -- 5. Challenges of Web Crawler Design -- 6. Application of NoSQL Databases in Web Crawling -- 7. Conclusion -- Glossary -- References -- Further Reading -- Chapter Four: NoSQL Security -- 1. Fundamentals of NoSQL Security -- 1.1. Security Issues of NoSQL Databases -- 1.1.1. Distributed Environment and Data Duplicity -- 1.1.2. Authentication -- 1.1.3. Safeguarding Integrity -- 1.1.4. Fine-Grained Authorization and Access Control -- 1.1.5. Protection of Data at Rest and in Motion -- 1.1.6. Privacy of User Data -- 1.1.7. Lack of Expertise and Buggy Applications -- 1.2. Issues in Implementing Traditional Security Solutions to NoSQL Data Stores -- 1.3. Comparison of Relational Database Security and NoSQL Security -- 2. Security Features of Various NoSQL Databases -- 2.1. Strength and Weaknesses of NOSQL Databases -- 2.1.1. Cassandra -- 2.1.2. MongoDB -- 2.1.3. Redis -- 2.1.4. CouchDB -- 2.1.5. HBase -- 2.1.6. Neo4j -- 3. Injection Attacks on NOSQL Database -- 3.1. Java Script Injections -- 3.2. Union Queries -- 3.3. Piggybacked Query -- 4. Challenges in Designing, Implementing, and Deploying NoSQL Databases. 5. NoSQL Security Reference Architecture -- 5.1. NoSQL Cluster Security -- 5.1.1. User Access Management-Authentication -- 5.1.2. Authorization -- 5.1.3. Auditing -- 5.1.4. Encryption -- 5.1.5. Environmental and Process Control -- 5.2. Data Centric Approach to Security -- 6. Techniques to Mitigate the Attacks on NoSQL Databases -- 7. Proposed Security and Privacy Solutions for NoSQL Data Stores -- 8. Conclusion -- Glossary -- References -- Further Reading -- Chapter Five: Comparative Study of Different In-Memory (No/New) SQL Databases -- 1. Introduction -- 2. Advanced Database Processing -- 2.1. In-Memory Database and Analytics -- 2.2. Concepts of In-Memory Database -- 2.2.1. Optimized Indices -- 2.2.2. Data Compression -- 2.2.3. Data Layout -- 2.3. Challenges With In-Memory Analytics -- 3. In-Database Analytics -- 3.1. Types of In-Database Processing -- 3.1.1. Distributed Data Marts Processing -- 3.1.2. In-Database Repository Processing -- 4. NewSQL Databases -- 4.1. Clustered, Parallel, Scalable SQL Databases -- 4.1.1. Clustered Databases -- 4.1.2. Parallel Database -- 4.1.2.1. Types of Parallelism in Parallel Databases -- 4.1.2.2. Types of Architectures in Parallel Databases -- 4.1.3. Scalable SQL Databases -- 4.1.4. Scalable Architectures -- 4.1.4.1. Functional Partitioning -- 4.1.4.2. Data Partitioning -- 4.1.4.3. Scale Out Architecture -- 4.1.5. NewSQL Environments -- 4.1.6. Case Study on NuoDB -- 4.1.6.1. Installing NuoDB on Windows -- 4.1.6.2. Creating a Database in NuoDB -- 5. Case Study on Alteryx (Demonstration/Installation, Creation of Database/Record) -- 5.1. Creating Table in Alteryx -- 6. Conclusions -- References -- Chapter Six: NoSQL Hands On -- 1. Introduction -- 2. Document-Oriented Databases -- 2.1. Introduction to MongoDB -- 2.1.1. Why and Where to Use MongoDB? -- 2.1.2. Features of MongoDB. 2.1.3. Relationship of RDBMS Terminology With MongoDB -- 2.1.4. Advantages of MongoDB Over RDBMS -- 2.1.5. Installation Steps of MongoDB -- 2.1.6. Setting Environment for MongoDB -- 2.1.7. Various Operations on MongoDB -- 2.2. Introduction to CouchDB -- 2.2.1. Why and Where to Use CouchDB? -- 2.2.2. Features of CouchDB -- 2.2.3. Relationship of RDBMS Terminology With CouchDB -- 2.2.4. Advantages of CouchDB Over RDBMS -- 2.2.5. Installation Steps of CouchDB -- 2.2.6. Setting Environment for CouchDB -- 2.2.7. Various Operations on CouchDB -- 2.3. Introduction to Cloudant -- 2.3.1. Why and Where to Use Cloudant? -- 2.3.2. Features of Cloudant -- 2.3.3. Setting Environment for Cloudant -- 2.3.4. Various Operations on Cloudant -- 3. Graph-Based Databases -- 3.1. Introduction to Neo4j -- 3.1.1. Why and Where to Use Neo4j? -- 3.1.2. Features of Neo4j -- 3.1.3. Advantages of Neo4j Over RDBMS -- 3.1.4. Installation Steps of Neo4j -- 3.1.5. Setting Environment for Neo4j -- 3.1.6. Various Operations on Neo4j -- 3.2. Introduction to OrientDB -- 3.2.1. Features of OrientDB -- 3.2.2. Relationship of RDBMS Terminology With OrientDB -- 3.2.3. Installation Steps and Setting Environment for OrientDB -- 3.2.4. Various Operations on OrientDB -- 4. Key-Value Databases -- 4.1. Introduction to Redis -- 4.1.1. Features of Redis -- 4.1.2. Installation Steps and Setting Environment for Redis -- 4.1.3. Various Operations on Redis -- 4.2. Introduction to InfluxDB -- 4.2.1. Features of InfluxDB -- 4.2.2. Installation Steps and Some Operations for InfluxDB -- 4.3. Introduction to Aerospike -- 4.3.1. Features of Aerospike -- 4.3.2. Installation Steps and Setting Environment for Aerospike -- 5. Hybrid SQL-NoSQL Databases -- 5.1. Introduction to MariaDB -- 5.1.1. Features of MariaDB -- 5.1.2. Installation Steps of MariaDB -- 5.1.3. Setting Environment for MariaDB. 5.1.4. Various Operations on MariaDB -- Glossary -- References -- Further Reading -- Chapter Seven: The Hadoop Ecosystem Technologies and Tools -- 1. Introduction -- 2. Demystifying the Big Data Charters -- 3. Describing the Big Data Paradigm -- 4. Big Data Analytics: The Evolving Challenges -- 4.1. Batch Processing Systems -- 4.1.1. Apache Hadoop Framework -- 4.1.2. Mapping Phase -- 4.1.3. Reducing Phase -- 4.2. Stream Processing Systems -- 4.2.1. Apache Storm -- 4.2.2. Apache Samza -- 4.2.3. Fault Tolerance and Isolation -- 4.2.4. Stateful Stream Processing -- 4.3. Hybrid Processing Systems: Batch and Stream Processing -- 4.3.1. Apache Spark -- 4.3.2. Apache Flink -- 4.3.3. The Major Advantages of Flink -- 5. The Other Technologies and Tools in the Hadoop Ecosystem -- 5.1. Hive -- 5.2. The Hive Characteristics -- 5.2.1. Pig -- 5.2.2. HBase -- 5.3. The Common Use Cases -- 5.3.1. Apache Oozie -- 5.3.2. Apache Sqoop -- 5.3.3. Ambari -- 5.3.4. Avro -- 5.3.5. Chukwa -- 5.3.6. Impala -- 5.4. The Impala Architecture -- 5.4.1. Flume -- 5.4.2. Apache Kafka -- 5.4.3. Point-to-Point Messaging System -- 5.4.4. Publish-Subscribe Messaging System -- 5.4.5. The Key Differentiators -- 5.4.6. Zookeeper -- 6. How Does It Work? -- 7. Conclusion -- Further Reading -- Chapter Eight: Biological Big Data Analytics -- 1. Introduction -- 2. What Is Big Data Analytics -- 2.1. Specifications of Big Data Analytics -- 2.2. Research Trends of Big Data Analytics -- 2.3. Architectures for Big Data Analytics -- 2.4. Big Data Technologies -- 2.5. Cloud-Based Data Analytics Services -- 3. Machine Learning for Big Data Analytics in Plants -- 3.1. Big Data Technology for the Plant Community -- 3.2. Problems in Machine Learning for Biology -- 3.3. Machine Learning-Based Big Data Analytics in Plants -- 3.4. The Interface Between Machine Learning and Big Data. 4. Big Data Analytics in Bioinformatics. EBLlink deleted SAF201902 SzGeCERN Computing and Computers BOOK Deka, Ganesh Chandra https://learning.oreilly.com/library/view/-/9780128137871/?ar ebook 201806 n 201823 21 PUBLIC https://catalogue.library.cern/legacy/2623517 BOOK MIGRATED 2623508 SzGeCERN 20210421204644.0 9780824793227 print version 9781482273113 electronic version electronic version oai:cds.cern.ch:2623508 cerncds:BOOK EBL 5379512 eng TK6580.R36 2000 621.3848 Ramachandra, K V Kalman filtering techniques for radar tracking Boca Raton, FL Chapman and Hall/CRC 2000 419 p ebook Cover -- Half Title -- Title -- Copyrights -- About the Editors -- Contents -- List of Contributors -- List of Abbreviations -- Preface -- Part I. High-Performance Materials -- Chapter 1. Optical Thin Film Filters: Design, Fabrication, and Characterization -- Chapter 2. Fabrication of Exceptional Ambient Stable Organic Field-Effect Transistors by Exploiting the Polarization of Polar Dielectric Layers -- Chapter 3. Nonlinear Thermal Instability in a Fluid Layer under Thermal Modulation -- Chapter 4. Application of a Random Sequential Algorithm for the Modeling of Macromolecular Chains' Cross-Linking Evolution During a Polymer Surface Modification -- Chapter 5. Polyaniline-Coated Inorganic Oxide Composites for Broadband Electromagnetic Interference Shielding -- Chapter 6. A Comprehensive Review of Membrane Science and Technology and Recent Trends in Research: A Broad Environmental Perspective -- Part II. Chemometrics and Chemoinformatics Approaches -- Chapter 7. Application of Statistical Approaches to Optimize the Productivity of Biodiesel and Investigate the Physicochemical Properties of the Bio/Petro-Diesel Blends -- Chapter 8. Smart Mobile Device Emerging Technologies: An Enabler to Health Monitoring System -- Part III. Analytical, Computational, and Experimental Techniques -- Chapter 9. Principal Component, Cluster, and Meta-Analyses of Soya Bean, Spanish Legumes, and Commercial Soya Bean -- Chapter 10. Electrokinetic Soil Remediation: An Efficiency Study in Cadmium Removal -- Chapter 11. Nano-Sized Nickel Borate -- Chapter 12. The New Equipment for Clearing of Technological Gases -- Chapter 13. Operational and Engineering Aspects of Packed Bed Bioreactors for Solid-State Fermentation -- Chapter 14. Effects of Glutathione, Phosphonate, or Sulfonated Chitosans and Their Combination on Scavenging Free Radicals -- Index. EBL201806 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5379512 ebook n 201823 21 PUBLIC https://catalogue.library.cern/legacy/2623508 BOOK MIGRATED 2623481 SzGeCERN 20190812235037.0 9780748401239 print version 9781482272505 electronic version electronic version oai:cds.cern.ch:2623481 cerncds:BOOK EBL 5379339 eng GE30 .E585 1994 025.06/3637 Michener, W K Environmental information management and analysis ecosystem to global scales Boca Raton, FL Chapman and Hall/CRC 2014 582 p ebook Cover -- Title Page -- Copyright Page -- Contents -- List of figures -- List of tables -- Preface -- Contributors -- SECTION I: A RESEARCH PERSPECTIVE -- 1 Integration of scientific information management and environmental research -- 2 Grand challenges in scaling up environmental research -- 3 Sustainable Biosphere Initiative: Data management challenges -- 4 Multiple roles for GIS in global change research: Towards a research agenda -- SECTION II: SCIENTIFIC DATABASES AND INFORMATION SYSTEMS -- 5 Scientific information systems: A conceptual framework -- 6 Development and refinement of the Konza Prairie LTER Research Information Management Program -- 7 Forest health monitoring case study -- 8 Bigfoot: An earth science computing environment for the Sequoia 2000 Project -- 9 Representing spatial change in environmental databases -- SECTION III: QUALITY ASSURANCE/QUALITY CONTROL -- 10 Automated smoothing techniques for visualization and quality control of long-term environmental data -- 11 Spatial sampling to assess classification accuracy of remotely sensed data -- 12 Metadata required to determine the fitness of spatial data for use in environmental analysis -- SECTION IV: DATA SHARING ISSUES -- 13 Circumventing a dilemma: Historical approaches to data sharing in ecological research -- 14 Sharing spatial environmental information across agencies, regions and scales: Issues and solutions -- 15 Standards for integration of multisource and cross-media environmental data -- SECTION V: DATABASES FOR BROAD-SCALE RESEARCH -- 16 Alternative approaches for mapping vegetation quantities using ground and image data -- 17 Global biosphere requirements for general circulation models -- 18 Evaluation of soil database attributes in a terrestrial carbon cycle model: Implications for global change research. 19 Designing global land cover databases to maximize utility: The US prototype -- 20 Global environmental characterization: Lessons from the NOAA-EPA Global Ecosystems Database Project -- SECTION VI: ENVIRONMENTAL MODELLING AND GEOGRAPHIC INFORMATION SYSTEMS -- 21 Integrating geographic information systems and environmental simulation models: A status review -- 22 Data management and simulation modelling -- 23 GIS and spatial analysis for ecological modelling -- 24 Linking ecological simulation models to geographic information systems: An automated solution -- 25 Comparison of spatial analytic applications of GIS -- SECTION VII: NEW ANALYTICAL APPROACHES -- 26 GIS development to support regional simulation modelling of north-eastern (USA) forest ecosystems -- 27 Remote sensing and GIS techniques for spatial and biophysical analyses of alpine treeline through process and empirical models -- 28 Using a GIS to model the effects of land use on carbon storage in the forests of the Pacific Northwest, USA -- 29 Coupling of process-based vegetation models to GIS and knowledge-based systems for analysis of vegetation change -- 30 A knowledge-based approach to the management of geographic information systems for simulation of forested ecosystems -- 31 Detecting fine-scale disturbance in forested ecosystems as measured by large-scale landscape patterns -- Subject index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X -- Z. EBL201806 Information Transfer and Management SzGeCERN EBL Environmental sciences-Information services EBL Geographic information systems BOOK Brunt, J W Stafford, S G https://cds.cern.ch/auth.py?r=EBLIB_P_5379339 ebook n 201823 201806 21 PUBLIC BOOK DELETED 2623404 SzGeCERN 20200503232004.0 9780824704520 print version 9781482270648 electronic version electronic version oai:cds.cern.ch:2623404 cerncds:BOOK EBL 5378792 eng TK7882.S65 .F878 2001 006.4/54 Furui, Sadaoki Digital speech processing synthesis, and recognition 2nd ed. Boca Raton, FL Chapman and Hall/CRC 2017 480 p ebook Signal processing and communications ser 7 Cover -- Half title -- Series Editor -- Title -- Copyrights -- Series Introduction -- Preface to the Second Edition -- Acknowledgments -- Preface to the First Edition -- Contents -- Chapter 1.Introduction -- Chapter 2. PRINCIPAL CHARACTERISTICS OF SPEECH -- 2.1 Linguistic Information -- 2.2 Speech and Hearing -- 2.3 Speech Production Mechanism -- 2.4 Acoustic Characteristics of Speech -- 2.5 Statistical Characteristics of Speech -- 2.5.1 Distribution of amplitude level -- 2.5.2 Long-time averaged spectrum -- 2.5.3 Variation in fundamental frequency -- 2.5.4 Speech ratio -- Chapter 3. SPEECH PRODUCTION MODELS -- 3.1 Acoustical Theory of Speech Production -- 3.2 Linear Separable Equivalent Circuit Model -- 3.3 Vocal Tract Transmission Model -- 3.3.1 Progressing wave model -- 3.3.2 Resonance model -- 3.4 Vocal Cord Model -- Chapter 4. SPEECH ANALYSIS AND ANAL YSIS-SYNTHESIS SYSTEMS -- 4.1 Digitization -- 4.1.1 Sampling -- 4.1.2 Quantization and coding -- 4.1.3 AjD and DjA conversion -- 4.2 Spectral Analysis -- 4.2.1 Spectral structure of speech -- 4.2.2 Autocorrelation and Fourier transform -- 4.2.3 Window function -- 4.2.4 Sound spectrogram -- 4.3 Cepstrum -- 4.3.1 Cepstrum and its application -- 4.3.2 Homomorphic analysis and LPC cepstrum -- 4.4 Filter Bank and Zero-Crossing Analysis -- 4.4.1 Digital filter bank -- 4.4.2 Zero-crossing analysis -- 4.5 Analysis-by-Synthesis -- 4.6 Analysis-Synthesis Systems -- 4.6.1 Analysis-synthesis system structure -- 4.6.2 Examples of analysis-synthesis systems -- 4.7 Pitch Extraction -- Chapter 5. LINEAR PREDICTIVE CODING (LPC) ANALYSIS -- 5.1 Principles of LPC Analysis -- 5.2 LPC Analysis Procedure -- 5.3 Maximum Likelihood Spectral Estimation -- 5.3.1 Formulation of maximum likelihood spectral estimation -- 5.3.2 Physical meaning of maximum likelihood spectral estimation. 5.4 Source Parameter Estimation from Residual Signals -- 5.5 Speech Analysis-Synthesis System by LPC -- 5.6 PARCOR Analysis -- 5.6.1 Formulation of PARCOR analysis -- 5.6.2 Relationship between PARCOR and LPC coefficients -- 5.6.3 PARCOR synthesis filter -- 5.6.4 Vocal tract area estimation based on PARCOR analysis -- 5.7 Line Spectrum Pair (LSP) Analysis -- 5.7.1 Principle of LSP analysis -- 5.7.2 Solution of LSP analysis -- 5.7.3 LSP synthesis filter -- 5.7.4 Coding of LSP parameters -- 5.7.5 Composite sinusoidal model -- 5.7.6 Mutual relationships between LPC parameters -- 5.8 Pole-Zero Analysis -- Chapter 6 SPEECH CODING -- 6.1 Principal Techniques for Speech Coding -- 6.1.1 Reversible coding -- 6.1.2 Irreversible coding and information rate distortion theory -- 6.1.3 Waveform coding and analysis-synthesis systems -- 6.1.4 Basic techniques for waveform coding methods -- 6.2 Coding in Time Domain -- 6.2.1 Pulse code modulation (PCM) -- 6.2.2 Adaptive quantization -- 6.2.3 Predictive coding -- 6.2.4 Delta modulation -- 6.2.5 Adaptive differential PCM (ADPCM) -- 6.2.6 Adaptive predictive coding (APC) -- 6.2.7 Noise shaping -- 6.3 Coding in Frequency Domain -- 6.3.1 Subband coding (SBC) -- 6.3.2 Adaptive transform coding (ATC) -- 6.3.3 APC with adaptive bit allocation (APC-AB) -- 6.3.4 Time-domain harmonic scaling (TDHS) algorithm -- 6.4 Vector Quantization -- 6.4.1 Multipath search coding -- 6.4.2 Principles of vector quantization -- 6.4.3 Tree search and multistage processing -- 6.4.4 Vector quantization for linear predictor parameters -- 6.4.5 Matrix quantization and tinite-state vector quantization -- 6.5 Hybrid Coding -- 6.5.1 Residual- or speech-excited linear predictive coding -- 6.5.2 Multipulse-excited linear predictive coding (MPC) -- 6.5.3 Code-excited linear predictive coding (CELP). 6.5.4 Coding by phase equalization and variable-rate tree coding -- 6.6 Evaluation and Standardization of Coding Methods -- 6.6.1 Evaluation factors of speech coding systems -- 6.6.2 Speech coding standards -- 6.7 Robust and Flexible Speech Coding -- Chapter 7 SPEECH SYNTHESIS -- 7.1 Principles of Speech Synthesis -- 7.2 Synthesis Based on Waveform Coding -- 7.3 Synthesis Based on Analysis-Synthesis Method -- 7.4 Synthesis Based on Speech Production Mechanism -- 7.4.1 Vocal tract analog method -- 7.4.2 Terminal analog method -- 7.5 Synthesis by Rule -- 7.5.1 Principles of synthesis by rule -- 7.5.2 Control of prosodic features -- 7.6 Text-to-Speech Conversion -- 7.7 Corpus-Based Speech Synthesis -- Chapter 8. SPEECH RECOGNITION -- 8.1 PRINCIPLES OF SPEECH RECOGNITION -- 8.1.1 Advantages of speech recognition -- 8.1.2 Difficulties in speech recognition -- 8.1.3 Classification of speech recognition -- 8.2 Speech Period Detection -- 8.3 Spectral Distance Measures -- 8.3.1 Distance measures used in speech recognition -- 8.3.2 Distances based on nonparametric spectral analysis -- 8.3.3 Distances based on LPC -- 8.3.4 Peak-weighted distances based on LPC analysis -- 8.3.5 Weighted cepstral distance -- 8.3.6 Transitional cepstral distance -- 8.3.7 Prosody -- 8.4 Structure of Word Recognition Systems -- 8.5 Dynamic Time Warping (DTW) -- 8.5.1 DP matching -- 8.5.2 Variations in DP matching -- 8.5.3 Staggered array DP matching -- 8.6 Word Recognition Using Phoneme Units -- 8.6.1 Principal structure -- 8.6.2 SPLIT method -- 8.7 Theory and Implementation of HMM -- 8.7.1 Fundamentals of HMM -- 8.7.2 Three basic problems for HMMs -- 8.7.3 Solution to Problem I-probability evaluation -- 8.7.4 Solution to Problem 2-optimal state sequence -- 8.7.5 Solution to Problem 3-parameter estimation -- 8.7.6 Continuous observation densities in HMMs -- 8.7.7 Tied-mixture HMM. 8.7.8 MMI and MCE/GPD training of HMM -- 8.7.9 HMM system for word recognition -- 8.8 Connected Word Recognition -- 8.8.1 Two-level DP matching and its modifications -- 8.8.2 Word spotting -- 8.9 Large-Vocabulary Continuous-Speech Recognition -- 8.9.1 Three principal structural models -- 8.9.2 Other system constructing factors -- 8.9.3 Statistical theory of continuous-speech recognition -- 8.9.4 Statistical language modeling -- 8.9.5 Typical structure of large-vocabulary continuous-speech recognition systems -- 8.9.6 Methods for evaluating recognition systems -- 8.10 Examples of Large-Vocabulary Continuous- Speech Recognition Systems -- 8.10.1 DARPA speech recognition projects -- 8.10.2 English speech recognition system at LIMSI Laboratory -- 8.10.3 English speech recognition system at IBM Laboratory -- 8.10.4 A Japanese speech recognition system -- 8.11 Speaker-Independent and Adaptive Recognition -- 8.11.1 Multi-template method -- 8.11.2 Statistical method -- 8.11.3 Speaker normalization method -- 8.11.4 Speaker adaptation methods -- 8.11.5 Unsupervised speaker adaptation method -- 8.12 Robust Algorithms Against Noise and Channel Variations -- 8.12.1 HMM composition/PMC -- 8.12.2 Detection-based approach for spontaneous speech recognition -- Chapter 9 SPEAKER RECOGNIT ION -- 9.1 Principles of Speaker Recognition -- 9.1.1 Human and computer speaker recognition -- 9.l.2 Indi vid ual characteristics -- 9.2 Speaker Recognition Methods -- 9.2.1 Classification of speaker recognition methods -- 9.2.2 Structure of speaker recognition systems -- 9.2.3 Relationship between error rate and number of speakers -- 9.2.4 Intra-speaker variation and evaluation of feature parameters -- 9.2.5 Likelihood (distance) normalization -- 9.3 Examples of Speaker Recognition Systems -- 9.3.1 Text-dependent speaker recognition systems. 9.3.2 Text-independent speaker recognition systems -- 9.3.3 Text-prompted speaker recognition systems -- Chapter 10 FUTURE DIRECTIONS OF SPEECH INFORMATION PROCESSING -- 10.1 Overview -- 10.2 Analysis and Description of Dynamic Features -- 10.3 Extraction and Normalization of Voice Individuality -- 10.4 Adaptation to Environmental Variation -- 10.5 Basic Units for Speech Processing -- 10.6 Advanced Knowledge Processing -- 10.7 Clarification of Speech Production Mechanism -- 10.8 Clarification of Speech Perception Mechanism -- 10.9 Evaluation Methods for Speech Processing Technologies -- 10.10 LSI for Speech Processing Use -- APPENDICES -- A Convolution and z-Transform -- A.1 Convolution -- A.2 z-Transform -- A.3 Stability -- B Vector Quantization Algorithm -- B.1 VQ (Vector Quantization) Technique Formulation -- B.2 Lloyd's Algorithm (K-Means Algorithm) -- B.3 LBG Algorithm -- C Neural Nets -- Bibliography -- Index. EBL201806 Computing and Computers SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5378792 ebook n 201823 201806 21 PUBLIC BOOK DELETED 2623385 SzGeCERN 20210421204655.0 9781351688871 electronic version electronic version 9781771886062 print version oai:cds.cern.ch:2623385 cerncds:BOOK EBL 5378696 eng QD453.3 .A675 2018 541 Haghi, A K Applied physical chemistry with multidisciplinary approaches Milton Apple Academic Press 2018 459 p ebook Innovations in physical chemistry Cover -- Half Title -- Title -- Copyright -- ABOUT THE EDITORS -- INNOVATIONS IN PHYSICALCHEMISTRY: MONOGRAPH SERIES -- CONTENTS -- LIST OF CONTRIBUTORS -- LIST OF ABBREVIATIONS -- PREFACE -- PART I: Applications of Polymers -- Chapter 1. Smart Polymers: A Smart Approach to Life Ajith James Jose, Mekha Susan Rajan, Anjalipriya S, and Sam John -- Chapter 2. An Assessment on Polymer Electrolyte Membrane Fuel Cell Stack Components Arunkumar Jayakumar -- Chapter 3. Theoretical Studies on Molecular Designing of Novel Electrically Conducting Polymers Using Genetic Algorithm Vinita Kapoor -- Chapter 4. Spectral Tuning of P3HT/PTCDA Bulk Hetero P-N Junction Blend for Plastic Solar Cell Ishwar Naik, Rajashekhar Bhajantri, and Jagadish Naik -- Chapter 5. Design Strategies of Polymer for High-Performance Organic Photovoltaics Meha J. Prajapati and Kiran R. Surati -- Chapter 6. An Overview on Li-S Battery and Its Challenges Raghvendra Kumar Mishra, Aswathy Vasudevan, and Sabu Thomas -- PART II: Innovations in Life Chemistry -- Chapter 7. Density Clustering for Automatic Lesion Detection in Diabetic Retinopathy from Eye Background Images Carolina Travassos, Raquel Monteiro, Sara Pires de Oliveira, Carla Baptista, Francisco Carrilho, and Pedro Furtado -- Chapter 8. Reflections on Artemisinin: Proposed Molecular Mechanism of Bioactivity and Resistance FRANCISCO TORRENS,LUCÍA REDONDO, and GLORIA CASTELLANO -- Chapter 9. Classification of Citrus: Principal Components, Cluster, and Meta-Analyses Francisco Torrens and Gloria Castellano -- Chapter 10. Biodiversity and Conservation Anamika Singh and Rajeev Singh -- Chapter 11. Advanced Oxidation Processes, Industrial Wastewater Treatment, and Innovations of Environmental Chemistry: A Vision for the Future Sukanchan Palit -- PART III: Innovations in Applied Sciences. Chapter 12. Nickel Stearate Hydrosols for Hydrophobic Cellulose Cemal Ihsan Sofuoglu, Fatma Üstün, Burcu Alp, and Devrim Balköse -- Chapter 13. Nano Zinc Borate as a Lubricant Additive Sevdiye Atakul Savrik, Burcu Alp, Fatma Ustun, and Devrim Balköse -- Chapter 14. Diffusion of Copper Nitrate in Aqueous Solutions at 298.15 K Luis M. P. Verissimo, Ana M. T. D. P. V. Cabral, Francisco J. B. Veiga, Miguel A. Esteso, and Ana C. F. Ribeiro -- Chapter 15. A Critical Overview of Application of Evolutionary Computation in Designing Petroleum Refining Units: A Vision for the Future Sukanchan Palit -- Chapter 16. Mathematical Model of Centrifugal Sedimentation of Corpuscles in a Cyclonic Deduster R. R. Usmanova1 and G. E. Zaikov -- Chapter 17. Macromolecules Visualization Through Bioinformatics: An Emerging Tool of Informatics Heru Susanto and Ching Kang Chen -- Chapter 18. Informatics Approach and Its Impact for Bioscience: Making Sense of Innovation Heru Susanto and Ching Kang Chen -- Index. EBL201806 SzGeCERN Chemical Physics and Chemistry EBL Chemistry, Physical and theoretical BOOK Balköse, Devrim Thomas, Sabu https://cds.cern.ch/auth.py?r=EBLIB_P_5378696 ebook 201806 n 201823 21 PUBLIC https://catalogue.library.cern/legacy/2623385 BOOK MIGRATED 2623376 SzGeCERN 20210421204656.0 9780877629757 print version 9781498710770 electronic version electronic version oai:cds.cern.ch:2623376 cerncds:BOOK EBL 5378649 eng R857.B54 .B84 1993 610/.28 Buerk, Donald G Biosensors theory and applications Boca Raton, FL Chapman and Hall/CRC 2014 232 p ebook Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Chapter 1. Introduction -- 1.1 Brief Historical Background -- 1.2 Early Applications for Noble Metal Electrodes -- 1.3 Early Optical Methods -- 1.4 Ideal Biosensor Characteristics -- 1.4.1 Sensitivity -- 1.4.2 Calibration -- 1.4.3 Linearity -- 1.4.4 Limit of Detection -- 1.4.5 Background Signal -- 1.4.6 Hysteresis -- 1.4.7 Drift and Long-Term Stability -- 1.4.8 Selectivity (Interference) -- 1.4.9 Dynamic Response -- 1.4.10 Planar Membrane -- 1.4.11 Spherical Membrane -- 1.4.12 Flow Sensitivity -- 1.4.13 Temperature Dependence -- 1.4.14 Signal to Noise -- 1.4.15 Lifetime -- 1.4.16 Biocompatibility -- 1.5 Ideal Measurement Systems -- 1.5.1 Direct Contact -- 1.5.2 Closed Chamber -- 1.5.3 Flow Injection Analysis -- 1.5.4 Differential Measurements -- 1.6 References -- Chapter 2. Basic Electrochemical Principles -- 2.1 Electrochemical Cells -- 2.2 Oxidation-Reduction Reactions -- 2.3 Voltage and Current at Standard Conditions -- 2.4 Steady State Voltammogram -- 2.5 Transient Responses -- 2.6 Potentiostatic Response -- 2.7 Asymptotic Solutions and Data Transformations -- 2.8 Galvanostatic Response -- 2.9 Coulostatic Response -- 2.10 References -- Chapter 3. Electrochemical Transducers in Biology and Medicine -- 3.1 Glass pH Electrodes -- 3.2 Metal Oxide pH Electrodes -- 3.2.1 Basic Theory -- 3.2.2 Antimony pH Electrodes -- 3.2.3 Other Metal Oxide pH Electrodes -- 3.3 pH-Sensitive Membranes -- 3.4 Oxygen Electrodes -- 3.4.1 Cathode -- 3.4.2 Anode -- 3.4.3 Electrode Materials -- 3.4.4 Surface Preparation -- 3.4.5 Membranes -- 3.4.6 Electrolyte -- 3.4.7 Body -- 3.5 Carbon Dioxide Electrodes -- 3.5.1 Basic Theory -- 3.5.2 Electrode Construction -- 3.6 Hydrogen Gas Electrodes -- 3.6.1 Basic Theory -- 3.6.2 Applications -- 3.7 Hydrogen Peroxide Electrodes -- 3.7.1 Basic Theory. 3.8 Carbon Surface Electrodes -- 3.9 Ion-Sensitive Electrodes -- 3.9.1 Basic Theory -- 3.10 Other Electrochemical Detection Methods -- 3.10.1 Glucose -- 3.10.2 Urea -- 3.10.3 Nitrogen Gas Transducer -- 3.11 Clinical Applications of Electrochemical Transducers -- 3.11.1 Blood Chemistry -- 3.11.2 Catheter Electrodes -- 3.11.3 Tissue Surface Electrodes -- 3.12 References -- Chapter 4. Enzyme-Based Electrochemical Biosensors -- 4.1 Enzyme Biocatalysis Theory -- 4.1.1 Basic Theory -- 4.1.2 Data Transformations -- 4.1.3 Time-Dependent Measurements -- 4.1.4 Inhibiting Reactions -- 4.1.5 Multienzyme Systems -- 4.2 Immobilization Techniques -- 4.2.1 Basic Theory -- 4.2.2 Flow Injection -- 4.2.3 Enzyme Activity -- 4.2.4 Immobilization Materials -- 4.3 Glucose Biosensor -- 4.3.1 Basic Theory -- 4.3.2 Modified O2 Electrodes -- 4.3.3 Modified H2O2 Electrodes -- 4.4 Blood Glucose Monitoring -- 4.4.1 Home Monitors -- 4.4.2 Portable Monitors -- 4.4.3 Implantable Glucose Biosensors -- 4.5 Industrial Glucose Monitoring -- 4.6 Urea Biosensor -- 4.6.1 Basic Theory -- 4.6.2 Applications -- 4.7 Alcohol Biosensors -- 4.7.1 Basic Theory -- 4.7.2 Applications -- 4.8 More Single Enzyme Biosensors -- 4.8.1 Lactate Biosensor -- 4.8.2 Biosensors Using pH Electrodes -- 4.8.3 Biosensors Using Ammonia Transducers -- 4.8.4 Biosensors Using PCO2 Transducers -- 4.9 Multiple Enzyme Biosensors -- 4.9.1 Free Fatty Acids -- 4.9.2 Fish Freshness Biosensor -- 4.9.3 Amplification by Enzyme Recycling -- 4.9.4 Inhibition of Enzyme Recycling -- 4.10 Carbon Electrode Enzyme-Based Biosensors -- 4.10.1 Basic Theory -- 4.10.2 Applications -- 4.11 Organic Phase Enzyme Biosensors -- 4.11.1 Basic Theory -- 4.11.2 Applications -- 4.12 Alternate Electron Donors -- 4.12.1 Basic Theory -- 4.12.2 Applications -- 4.12.3 Directly Wired Enzymes -- 4.13 References. Chapter 5. Fabrication and Miniaturization Techniques -- 5.1 Microelectrodes -- 5.1.1 Glass Micropipettes -- 5.1.2 Beveling -- 5.1.3 Tip Measurements -- 5.1.4 Single-Barrel pH Microelectrodes -- 5.1.5 Double-Barrel pH Microelectrodes -- 5.1.6 Ion-Sensitive Microelectrodes -- 5.1.7 pH and Ion Measurement -- 5.1.8 Metal Microelectrodes -- 5.1.9 Insulation -- 5.1.10 Nanodes -- 5.1.11 Recessed Metal Alloy Microelectrodes -- 5.1.12 Double-Barrel Microelectrodes -- 5.1.13 Carbon Fiber Microelectrodes -- 5.1.14 Chemically Modified Carbon Surfaces -- 5.1.15 Electrical and Heat Modified Carbon Surfaces -- 5.1.16 Laser Modified Carbon Surfaces -- 5.1.17 Measurement Requirements -- 5.1.18 Electrical Shielding -- 5.1.19 Clinical Measurements with Microelectrodes -- 5.2 Enzyme Modified Microelectrodes -- 5.2.1 Co-Deposited Glucose Oxidase and Rhodium -- 5.2.2 Recessed Glucose Microbiosensors -- 5.2.3 Acetylcholine Microbiosensors -- 5.3 Miniaturized Arrays -- 5.3.1 O2 Electrodes -- 5.3.2 Transparent O2 Electrode Array -- 5.3.3 Band Arrays -- 5.3.4 Microhole Arrays -- 5.3.5 Microporous Array -- 5.4 Semiconductor Needle -- 5.5 ENFET Biosensors -- 5.5.1 ISFET -- 5.5.2 MOSFET -- 5.5.3 ENFET -- 5.6 Encapsulation and Membranes -- 5.7 References -- Chapter 6. Optical Technology -- 6.1 Principles of Optical Measurements -- 6.1.1 Measuring Light -- 6.2 Absorption Spectroscopy -- 6.2.1 Basic Theory -- 6.2.2 Interpreting Light Signals -- 6.3 Reflectance Spectroscopy -- 6.4 Chemiluminescence -- 6.4.1 Basic Theory -- 6.4.2 Signal Measurements -- 6.5 Fluorescence -- 6.5.1 Basic Theory -- 6.5.2 Signal Measurement -- 6.5.3 NADH Fluorescence -- 6.6 Phosphorescence -- 6.6.1 Basic Theory -- 6.6.2 Deviation from Theory -- 6.6.3 Signal Measurement -- 6.7 Oxyhemoglobin and Oximetry -- 6.7.1 Basic Theory -- 6.7.2 Spectral Properties -- 6.7.3 Chemical Properties -- 6.7.4 Pulse Oximetry. 6.7.5 Tissue Oximetry -- 6.8 Digital Image Processing -- 6.9 Optodes -- 6.9.1 pH Optodes -- 6.9.2 Oxygen Optodes -- 6.9.3 PCO2 Optodes -- 6.9.4 Enzyme Modified Optodes -- 6.10 Optical Waveguides -- 6.10.1 Multiple Attenuated Total Reflection -- 6.11 Light-Addressable Potentiometric Sensor -- 6.12 References -- Chapter 7. Miscellaneous Transducer Technologies -- 7.1 Enzyme-Based Calorimetry -- 7.1.1 Theory -- 7.1.2 Transducers -- 7.1.3 Applications -- 7.2 Piezoelectric Microbalances -- 7.2.1 Theory -- 7.2.2 Applications -- 7.3 Surface Acoustic Wave Transducers -- 7.3.1 Theory -- 7.3.2 Applications -- 7.4 Chemomechanical Hydrogels -- 7.5 Liquid Crystal Sensors -- 7.6 Enzyme Reactors with High Performance Liquid Chromatography -- 7.6.1 Applications -- 7.7 References -- Chapter 8. Immunosensors -- 8.1 Potentiometric Immunosensors -- 8.1.1 Modification of Electrode -- 8.1.2 Modification of Membrane -- 8.1.3 Modification of Solid State Device -- 8.1.4 Catalytic Antibodies -- 8.2 Amperometric Immunosensors -- 8.2.1 Capacitance Measurements -- 8.3 Enzyme-Linked Immunoassays -- 8.3.1 Redox-Mediated Immunosensor -- 8.4 Piezoelectric Microbalance Immunosensors -- 8.4.1 Differential Design -- 8.5 Optical Immunosensors -- 8.5.1 Light Scattering -- 8.5.2 Light Absorbance -- 8.6 Bioluminescent Immunoassay -- 8.7 Fluorescence Immunoassay -- 8.7.1 Optical Fibers -- 8.7.2 Controlled Release System -- 8.7.3 Liposome Amplification -- 8.8 Surface Resonance -- 8.9 Laser Magnet Immunoassay -- 8.10 References -- Chapter 9. "Living" Biosensors -- 9.1 Microbial Biosensors -- 9.1.1 Immobilization Methods -- 9.1.2 Transducers -- 9.2 Bioluminescent Bacteria -- 9.3 Yeast-Based Biosensors -- 9.4 Botanical Biosensors -- 9.5 Biosensors Using Cultured Cells -- 9.5.1 Biosensors Using pH Measurements -- 9.5.2 Biosensors Using Piezoelectric Microbalance. 9.5.3 Biosensors Using Calorimetric Measurements -- 9.6 Biosensors Using Intact Tissues -- 9.6.1 Neuronal Biosensors -- 9.6.2 Single Cell Secretory Events -- 9.7 Biosensors Using Receptor Elements -- 9.7.1 Membrane Receptors -- 9.7.2 Nicotinic Acetylcholine Receptor Biosensor -- 9.8 References -- Chapter 10. Future Directions -- 10.1 Scanning Electrochemical Microscopy -- 10.1.1 Conductivity Measurements -- 10.1.2 Enzyme Kinetic Measurements -- 10.1.3 Oxygen Gradient Studies -- 10.2 Nanofabrication -- 10.3 Microdialysis with Electrochemical Detection -- 10.4 Advances in Semiconductor Fabrication Technology -- 10.5 Advances in Optical and lmaging Technology -- 10.5.1 Ultra-High Resolution Light Detection -- 10.5.2 CCD Spectrophotometry -- 10.5.3 Noninvasive Phosphorescence Measurements -- 10.5.4 Artificial Eyes -- 10.5.5 Chemically Tuned LEDs -- 10.5.6 Enzymes under Glass -- 10.6 Advances in Enzyme and Protein Engineering -- 10.7 Projections for Food and Beverage Industries -- 10.8 Projections for Defense Sector -- 10.9 Projections for Environmental Applications -- 10.10 Projections for Medical Instruments Industry -- 10.11 Projections for Biotechnology and Pharmaceutical Industries -- 10.12 References -- Author Index -- Subject Index -- About the Author. EBL201806 Health Physics and Radiation Effects SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5378649 ebook n 201823 201806 21 PUBLIC https://catalogue.library.cern/legacy/2623376 BOOK MIGRATED 2623360 SzGeCERN 20210421204658.0 9781785613043 print version 9781785613050 electronic version electronic version oai:cds.cern.ch:2623360 cerncds:BOOK EBL 5378525 eng TK5105.5833 .B54 2018 004.6 Taheri, Javid Big data and software defined networks Stevenage Institution of Engineering & Technology 2018 503 p ebook Computing and networks Intro -- Contents -- Dedication -- Foreword -- Preface -- Acknowledgements -- Part I: Introduction -- 1. Introduction to SDN (Ruslan L. Smelyanskiy and Alexander Shalimov) -- 1.1 Data centers -- 1.1.1 The new computing paradigm -- 1.1.2 DC network architecture -- 1.1.3 Traffic in DC -- 1.1.4 Addressing and routing in DC -- 1.1.5 Performance -- 1.1.6 TCP/IP stack issues -- 1.1.7 Network management system -- 1.1.8 Virtualization, scalability, flexibility -- 1.2 Software-defined networks -- 1.2.1 How can we split control plane and data plane? -- 1.2.2 OpenFlow protocol and programmable switching: basics -- 1.2.3 SDN controller, northbound API, controller applications -- 1.2.4 Open issues and challenges -- 1.3 Summary and conclusion -- References -- 2. SDN implementations and protocols (Cristian Hernandez Benet, Kyoomars Alizadeh Noghani, and Javid Taheri) -- 2.1 How SDN is implemented -- 2.1.1 Implementation aspects -- 2.1.2 Existing SDN controllers -- 2.2 Current SDN implementation using OpenDaylight -- 2.2.1 OpenDaylight -- 2.3 Overview of OpenFlow devices -- 2.3.1 Software switches -- 2.3.2 Hardware switches -- 2.4 SDN protocols -- 2.4.1 ForCES -- 2.4.2 OpenFlow -- 2.4.3 Open vSwitch database management (OVSDB) -- 2.4.4 OpenFlow configuration and management protocol (OF-CONFIG) -- 2.4.5 Network configuration protocol (NETCONF) -- 2.5 Open issues and challenges -- 2.6 Summary and Conclusions -- References -- 3. SDN components and OpenFlow (Yanbiao Li, Dafang Zhang, Javid Taheri, and Keqin Li) -- 3.1 Overview of SDN's architecture and main components -- 3.1.1 Comparison of IP and SDN in architectures -- 3.1.2 SDN's main components -- 3.2 OpenFlow -- 3.2.1 Fundamental abstraction and basic concepts -- 3.2.2 OpenFlow tables and the forwarding pipeline -- 3.2.3 OpenFlow channels and the communication mechanism -- 3.3 SDN controllers. 3.3.1 System architectural overview -- 3.3.2 System implementation overview -- 3.3.3 Rule placement and optimization -- 3.4 OpenFlow switches -- 3.4.1 The detailed working flow -- 3.4.2 Design and optimization of table lookups -- 3.4.3 Switch designs and implementations -- 3.5 Open issues in SDN -- 3.5.1 Resilient communication -- 3.5.2 Scalability -- References -- 4. SDN for cloud data centres (Dimitrios Pezaros, Richard Cziva, and Simon Jouet) -- 4.1 Overview -- 4.2 Cloud data centre topologies -- 4.2.1 Conventional architectures -- 4.2.2 Clos/Fat-Tree architectures -- 4.2.3 Server-centric architectures -- 4.2.4 Management network -- 4.3 Software-defined networks for cloud data centres -- 4.3.1 Challenges in cloud DC networks -- 4.3.2 Benefits of using SDN in cloud DCs -- 4.3.3 Current SDN deployments in cloud DC -- 4.3.4 SDN as the backbone for a converged resource control plane -- 4.4 Open issues and challenges -- 4.4.1 Network function virtualisation and SDN in DCs -- 4.4.2 The future of network programmability -- 4.5 Summary -- Acknowledgements -- References -- 5. Introduction to big data (Amir H. Payberah and Fatemeh Rahimian) -- 5.1 Big data platforms: challenges and requirements -- 5.2 How to store big data? -- 5.2.1 Distributed file systems -- 5.2.2 Messaging systems -- 5.2.3 NoSQL databases -- 5.3 How to process big data? -- 5.3.1 Batch data processing platforms -- 5.3.2 Streaming data processing platforms -- 5.3.3 Graph data processing platforms -- 5.3.4 Structured data processing platforms -- 5.4 Concluding remarks -- References -- 6. Big Data processing using Apache Spark and Hadoop (Koichi Shirahata and Satoshi Matsuoka) -- 6.1 Introduction -- 6.2 Big Data processing -- 6.2.1 Big Data processing models -- 6.2.2 Big Data processing implementations -- 6.2.3 MapReduce-based Big Data processing implementations. 6.2.4 Computing platforms for Big Data processing -- 6.3 Apache Hadoop -- 6.3.1 Overview of Hadoop -- 6.3.2 Hadoop MapReduce -- 6.3.3 Hadoop distributed file system -- 6.3.4 YARN -- 6.3.5 Hadoop libraries -- 6.3.6 Research activities on Hadoop -- 6.4 Apache Spark -- 6.4.1 Overview of Spark -- 6.4.2 Resilient distributed dataset -- 6.4.3 Spark libraries -- 6.4.4 Using both Spark and Hadoop cooperatively -- 6.4.5 Research activities on Spark -- 6.5 Open issues and challenges -- 6.5.1 Storage -- 6.5.2 Computation -- 6.5.3 Network -- 6.5.4 Data analysis -- 6.6 Summary -- References -- 7. Big Data stream processing (Yidan Wang, M. Reza HoseinyFarahabady, Zahir Tari, and Albert Y. Zomaya) -- 7.1 Introduction to stream processing -- 7.1.1 Background and motivation -- 7.1.2 Streamlined data processing framework -- 7.1.3 Stream processing systems -- 7.2 Apache storm [8, 9] -- 7.2.1 Reading path -- 7.2.2 Storm structure and composing components -- 7.2.3 Data stream and topology -- 7.2.4 Parallelism of topology -- 7.2.5 Grouping strategies -- 7.2.6 Reliable message processing -- 7.3 Scheduling and resource allocation in Apache Storm -- 7.3.1 Scheduling and resource allocation in cloud [4-7] -- 7.3.2 Scheduling of Apache Storm [8, 9] -- 7.3.3 Advanced scheduling schemes for Storm -- 7.4 Quality-of-service-aware scheduling -- 7.4.1 Performance metrics [16] -- 7.4.2 Model predictive control-based scheduling -- 7.4.3 Experimental performance analysis -- 7.5 Open issues in stream processing -- 7.6 Conclusion -- Acknowledgement -- References -- 8. Big Data in cloud data centers (Gunasekaran Manogaran and Daphne Lopez) -- 8.1 Introduction -- 8.2 Needs for the architecture patterns and data sources for Big Data storage in cloud data centers -- 8.3 Applications of Big Data analytics with cloud data centers -- 8.3.1 Disease diagnosis -- 8.3.2 Government organizations. 8.3.3 Social networking -- 8.3.4 Computing platforms -- 8.3.5 Environmental and natural resources -- 8.4 State-of-the-art Big Data architectures for cloud data centers -- 8.4.1 Lambda architecture -- 8.4.2 NIST Big Data Reference Architecture (NBDRA) -- 8.4.3 Big Data Architecture for Remote Sensing -- 8.4.4 The Service-On Line-Index-Data (SOLID) architecture -- 8.4.5 Semantic-based Architecture for Heterogeneous Multimedia Retrieval -- 8.4.6 LargeScale Security Monitoring Architecture -- 8.4.7 Modular software architecture -- 8.4.8 MongoDB-based Healthcare Data Management Architecture -- 8.4.9 Scalable and Distributed Architecture for Sensor Data Collection, Storage and Analysis -- 8.4.10 Distributed parallel architecture for "Big Data" -- 8.5 Challenges and potential solutions for Big Data analytics in cloud data centers -- 8.6 Conclusion -- References -- Part II: How SDN helps Big Data -- 9. SDN helps volume in Big Data (Kyoomars Alizadeh Noghani, Cristian Hernandez Benet, and Javid Taheri) -- 9.1 Big Data volume and SDN -- 9.2 Network monitoring and volume -- 9.2.1 Legacy traffic monitoring solutions -- 9.2.2 SDN-based traffic monitoring -- 9.3 Traffic engineering and volume -- 9.3.1 Flow scheduling -- 9.3.2 TCP incast -- 9.3.3 Dynamically change network configuration -- 9.4 Fault tolerant and volume -- 9.5 Open issues -- 9.5.1 Scalability -- 9.5.2 Resiliency and reliability -- 9.5.3 Conclusion -- References -- 10. SDN helps velocity in Big Data (Van-Giang Nguyen, Anna Brunstrom, Karl-Johan Grinnemo, and Javid Taheri) -- 10.1 Introduction -- 10.1.1 Big Data velocity -- 10.1.2 Type of processing -- 10.2 How SDN can help velocity? -- 10.3 Improving batch processing performance with SDN -- 10.3.1 FlowComb -- 10.3.2 Pythia -- 10.3.3 Bandwidth-aware scheduler -- 10.3.4 Phurti -- 10.3.5 Cormorant -- 10.3.6 SDN-based Hadoop for social TV analytics. 10.4 Improving real-time and stream processing performance with SDN -- 10.4.1 Firebird -- 10.4.2 Storm-based NIDS -- 10.4.3 Crosslayer scheduler -- 10.5 Summary -- 10.5.1 Comparison table -- 10.5.2 Generic SDN-based Big Data processing framework -- 10.6 Open issues and research directions -- 10.7 Conclusion -- References -- 11. SDN helps value in Big Data (Harald Gjermundrød) -- 11.1 Private centralized infrastructure -- 11.1.1 Adaptable network platform -- 11.1.2 Adaptable data flows and application deployment -- 11.1.3 Value of dark data -- 11.1.4 New market for the cloud provider -- 11.2 Private distributed infrastructure -- 11.2.1 Adaptable resource allocation -- 11.2.2 Value of dark data -- 11.3 Public centralized infrastructure -- 11.3.1 Adaptable data flows and programmable network -- 11.3.2 Usage of dark data -- 11.3.3 Data market -- 11.4 Public distributed infrastructure -- 11.4.1 Usage of dark data -- 11.4.2 Data market -- 11.4.3 Data as a service -- 11.5 Open issues and challenges -- 11.6 Chapter summary -- References -- 12. SDN helps other Vs in Big Data (Pradeeban Kathiravelu and Luís Veiga) -- 12.1 Introduction to other Vs in Big Data -- 12.1.1 Variety in Big Data -- 12.1.2 Volatility in Big Data -- 12.1.3 Validity and veracity in Big Data -- 12.1.4 Visibility in Big Data -- 12.2 SDN for other Vs of Big Data -- 12.2.1 SDN for variety of data -- 12.2.2 SDN for volatility of data -- 12.2.3 SDN for validity and veracity of data -- 12.2.4 SDN for visibility of data -- 12.2.5 More Vs into Big Data -- 12.3 SDN for Big Data diversity -- 12.3.1 Use cases for SDN in heterogeneous Big Data -- 12.3.2 Architectures for variety and quality of data -- 12.3.3 QoS-aware Big Data applications -- 12.3.4 Multitenant SDN and data isolation -- 12.4 Open issues and challenges -- 12.4.1 Scaling Big Data with SDN -- 12.4.2 Scaling Big Data beyond data centers. 12.5 Summary and conclusion. Big Data Analytics and Software Defined Networking (SDN) are helping to drive the management of data usage of the extraordinary increase of computer processing power provided by Cloud Data Centres (CDCs). This new book investigates areas where Big-Data and SDN can help each other in delivering more efficient services. EBL201806 Computing and Computers SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5378525 ebook n 201823 201806 21 PUBLIC https://catalogue.library.cern/legacy/2623360 BOOK MIGRATED 2623351 SzGeCERN 20210421204659.0 9788793609235 electronic version electronic version 9788793609242 print version oai:cds.cern.ch:2623351 cerncds:BOOK EBL 5376761 eng TK3001 .R434 2018 621.319 Shinohara, Naoki Recent wireless power transfer technologies via radio waves Aalborg River Publishers 2018 346 p ebook River Publishers series in communications Front Cover -- Half Title Page -- RIVER PUBLISHERS SERIES IN COMMUNICATIONS -- Title Page - Recent Wireless Power TransferTechnologies via Radio Waves -- Copyright Page -- Contents -- Preface -- List of Contributors -- List of Figures -- List of Tables -- List of Abbreviations -- Chapter 1 - Introduction -- 1.1 Introduction - History of Wireless Power Transfer -- 1.2 Wireless Power Transfer Technologies -- References -- PART I - Technologies -- Chapter 2 - Solid-State Circuits for Wireless Power Transfer -- 2.1 Introduction -- 2.2 Low-Power WP Harvesting -- 2.3 Medium-Power WPT -- 2.3.1 Medium-Power Microwave Transmitter Circuits -- 2.3.2 Medium-Power Microwave Rectifier Circuits -- 2.4 High-Power Directive Beaming -- 2.4.1 Rectifiers for High Power at Microwave Frequencies -- 2.5 High-Power Near-Field Reactive WPT -- 2.6 Conclusion -- References -- Chapter 3 - Microwave Tube Transmitters -- 3.1 Introduction -- 3.2 Magnetron -- 3.2.1 Operating Principles -- 3.2.2 Noise Reduction Methods for an Oven Magnetron -- 3.2.3 Ingection Locked Magnetron -- 3.2.4 Phase-Controlled Magnetron -- 3.2.5 Phase-and-Amplitude-Controlled Magnetron -- 3.2.6 Power-Variable Phase-Controlled Magnetron -- 3.2.7 Demonstrations of Microwave Power Transfer by Magnetrons -- 3.3 Klystron -- 3.3.1 Operating Principles -- 3.3.2 Demonstrations of Wireless Power Transfer by Klystrons -- 3.4 Amplitron -- 3.5 Summary -- References -- Chapter 4 - Antenna Technologies -- 4.1 Introduction -- 4.2 Beam Efficiency at Far Field -- 4.3 Beam Efficiency at Radiative Near Field -- 4.4 Beam Efficiency at Reactive Near Field -- 4.5 Beam Receiving Efficiency at the Receiving Antenna -- 4.6 Beam Forming by Using a Phased Array Antenna -- 4.7 Direction of Arrival -- References -- Chapter 5 - Efficiency of Rectenna -- 5.1 Introduction -- 5.1.1 What Is Rectenna. 5.1.2 Rectenna for Energy Harvesting -- 5.1.3 Historical Perspective -- 5.1.4 The Efficiency Chain -- 5.1.5 Towards Maximum Rectenna Efficiency -- 5.2 Antenna Efficiency -- 5.2.1 High Efficiency Antenna -- 5.2.2 Antenna Array -- 5.2.3 High Impedance Antenna (Better for the Matching -- 5.2.4 Broadband Antenna -- 5.2.5 Rectenna Integrated Design without Matching Network -- 5.2.6 Large Solid Angle High Gain Rectenna -- 5.3 Matching Network -- 5.3.1 Wide-band Rectifier -- 5.3.2 Rectifiers with a Large Operating Input Range -- 5.4 Fundamental of the Rectification: RF-to-dc Conversion Efficiency and dc Losses -- 5.4.1 Conversion Efficiency -- 5.4.2 Parasitic Efficiency -- 5.4.3 DC Source to Load Power Transfer Efficiency -- 5.4.4 Enhanced Nonlinearity -- 5.4.5 Increasing Junction Resistance -- 5.4.6 Low Temperature Operation -- 5.4.7 Enhance Input Power -- 5.4.8 Synchronous Switching Rectifiers (Self-Synchronous Rectifier -- 5.4.9 Harmonics Management -- 5.4.10 Low Transistor Conduction Losses -- 5.4.11 Diodes with Low Nonlinear Junction Capacitance -- 5.5 Booster Efficiency -- 5.5.1 Commercial Circuits -- 5.5.2 Notable Lab Results -- 5.6 Conclusion -- References -- PART II - Applications -- Chapter 6 - Far Field Energy Harvesting and Backscatter Communication -- 6.1 Introduction -- 6.2 Planted RF Harvesting -- 6.2.1 WISP -- 6.2.2 WISPCam -- 6.2.2.1 Duty-cycling -- 6.2.3 Applications -- 6.2.3.1 Computationally light applications -- 6.2.3.1.1 Analog gauge monitoring -- 6.2.3.1.2 Surveillance camera -- 6.2.3.1.3 Self-localizing cameras -- 6.2.3.2 Computationally demanding applications -- 6.3 Ambient RF Harvesting -- 6.3.1 Building a Power Supply -- 6.3.1.1 Pulling power from the air -- 6.3.1.2 An ambient RF-powered sensor node -- 6.3.2 Multiband Harvesting -- 6.3.2.1 Power combining -- 6.3.2.1.1 Prototyping the multiband harvester. 6.3.3 Ambient Backscatter -- 6.3.3.1 Summary -- 6.4 Conclusion -- References -- Chapter 7 - WPT-Enabling Distributed Sensing -- 7.1 Introduction -- 7.2 IoT -- 7.2.1 IoT Enabled by WPT (Some Examples at Present -- 7.2.2 IoT Future Trajectories -- 7.2.3 Sensors for Future IoT Development, Some Examples -- 7.2.4 Impedance-Based Sensors -- 7.2.5 Zero-Power Wireless Crack Sensor -- 7.2.6 "Multi-Bit", Chip-Less Sensor Tag -- 7.2.7 Evolution Towards Distributed Sensing Enabled by WPT -- 7.2.8 RF-Powered Environmentally-Friendly Transponders for Identification and Localization -- 7.2.9 RF-Powered Implantable Sensors for Wireless Prosthesis Control -- 7.2.10 RF-Power Temperature Sensor for Ambient Monitoring -- 7.3 IoS -- 7.3.1 The Eco-System -- 7.3.2 The Future Trajectory of IoS -- 7.3.3 Satellite Cluster Vision -- 7.4 Conclusions -- References -- Chapter 8 - IoT -- 8.1 Introduction -- 8.1.1 Backscatter Communication -- 8.1.1.1 High data rate backscatter QAM modulation -- 8.1.1.2 Backscatter QAM with WPT capabilities -- 8.1.1.3 Efficient wireless power transfer system for a moving passive backscatter sensor -- References -- Chapter 9 - Beam-type Wireless Power Transfer and Solar Power Satellite -- 9.1 Introduction -- 9.2 Long-Distance Beam-type WPT to Fixed Target -- 9.3 Mid- and Short-Distance Beam-type WPT to Fixed Target -- 9.4 Beam-type WPT to Moving Target -- 9.5 Solar Power Satellite (SPS -- References -- PART III - Coexistence of WPT -- Chapter 10 - Human Safety on Electromagnetic Fields - The International Health Assessment -- 10.1 Introduction -- 10.2 Historical Background on Electromagnetic Fields and Health -- 10.3 Studies Relating to Assessment of Electromagnetic Field Effects on Health -- 10.3.1 Overview -- 10.3.2 Epidemiological Studies -- 10.3.3 Animal Experiments -- 10.3.4 Cellular Experiments. 10.4 WHO and IARC Assessments, and Related Trends -- 10.5 Electromagnetic Hypersensitivity -- 10.6 Biological Effects of Electromagnetic Fields and Risk Communication -- 10.7 Conclusion -- References -- Chapter 11 - Coexistence of WPT and Wireless LAN in a 2.4-GHz Band -- 11.1 Introduction -- 11.2 Adjacent Channel Operation of Continuous WPT and WLAN Data Transmission -- 11.2.1 Experimental Setup for Continuous WPT -- 11.2.2 Measurement Results -- 11.3 Co-Channel Operation of Intermittent WPT and WLAN Data Transmission -- 11.3.1 Experimental Setup for Intermittent WPT -- 11.3.2 Estimation of Frame Loss Rate of Co-channel Operation -- 11.3.3 Measurement Results -- 11.3.3.1 Data rate -- 11.3.3.2 Frame loss rate -- 11.4 Exposure Assessment-Based Rate Adaptation -- 11.4.1 Rate Adaptation Schemes -- 11.4.2 Rate Adaptation Scheme Based on Exposure Assessment Using Rectenna Output -- 11.5 Conclusion -- References -- Index -- About the Editor -- Back Cover. EBL201806 Engineering SzGeCERN EBL Electric power transmission BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5376761 ebook n 201823 201806 21 PUBLIC https://catalogue.library.cern/legacy/2623351 BOOK MIGRATED 2623337 SzGeCERN 20200610213335.0 9781138092792 print version 9781351603140 electronic version electronic version oai:cds.cern.ch:2623337 cerncds:BOOK EBL 5372019 eng TK7872.D48 .H399 2017 005.8 Hassan, Emad Security and data reliability in cooperative wireless networks Milton Chapman and Hall/CRC 2018 530 p ebook Cover -- Half Title -- Copyright Page -- Table of Contents -- Preface -- List of Abbreviations -- List of Symbols -- About the Author -- Acknowledgments -- Chapter 1: Introduction -- 1.1 Cooperative Wireless Networks -- 1.1.1 Cooperative Communications Idea -- 1.1.2 Physical Layer Security Idea -- 1.2 Wireless Sensor Networks -- 1.2.1 Unattended Wireless Sensor Networks -- 1.3 Motivation -- 1.4 Problem Statement -- 1.5 Book Objectives and Contributions -- 1.6 Book Outline -- Section I : SECURITY IN COOPERATIVE WIRELESS NETWORKS -- Chapter 2: Overview of Cooperative Communications in Wireless Systems -- 2.1 Introduction -- 2.2 Characteristics of Wireless Channels -- 2.2.1 Path Loss -- 2.2.2 Shadowing -- 2.2.3 Fading -- 2.2.3.1 Multipath Propagation -- 2.2.3.2 Doppler Frequency Shift -- 2.3 Common and Cooperative Diversity -- 2.3.1 Common Diversity Techniques -- 2.3.2 MIMO Systems -- 2.3.3 Cooperative Diversity -- 2.4 Classical Relay Channel -- 2.5 Cooperative Communications -- 2.5.1 Working Principle -- 2.5.2 Historical Background -- 2.6 Cooperation Protocols -- 2.6.1 Fixed Cooperation Strategies -- 2.6.1.1 Fixed AF Relaying Protocol -- 2.6.1.2 Fixed DF Relaying Protocol -- 2.6.1.3 CF Cooperation -- 2.6.1.4 Coded Cooperation -- 2.6.2 Adaptive Cooperation Strategies -- 2.6.2.1 Selective DF Relaying -- 2.6.2.2 Incremental Relaying -- 2.7 Cooperative Diversity Based on Relay Selection -- 2.7.1 Relay Selection Metrics -- 2.7.1.1 Reactive Opportunistic Relaying -- 2.7.1.2 Proactive Opportunistic Relaying -- 2.7.2 Relay Selection Implementation -- 2.7.2.1 Destination-Driven Protocol -- 2.7.2.2 Relay-Driven Protocol -- 2.8 Application Scenarios -- 2.8.1 Virtual Antenna Array -- 2.8.2 Wireless Sensor Network -- 2.8.3 Wireless Ad Hoc Network -- 2.8.4 Vehicle-to-Vehicle Communication -- 2.8.5 Cooperative Sensing for Cognitive Radio. 2.9 Pros and Cons of Cooperation -- 2.9.1 Cooperation Advantages -- 2.9.2 Cooperation Disadvantages -- Chapter 3: Physical Layer Security in Wireless Networks -- 3.1 Introduction -- 3.2 Why Physical Layer Security -- 3.3 Secrecy Fundamentals -- 3.3.1 Key-Based Security for Wireless Channels -- 3.3.2 Keyless Security for Wireless Channels -- 3.3.3 General Wiretap Channel -- 3.3.4 Gaussian Wiretap Channel -- 3.4 Cooperative Secrecy Techniques for the Physical Layer -- 3.4.1 Cooperative Jamming with Gaussian Noise -- 3.4.2 Cooperative Jamming with Noise Forwarding -- 3.4.3 Cooperative Jamming with Structured Codes -- 3.4.4 Cooperative Jamming by Alignment -- 3.5 Cooperative Jamming for Secure Relay Networks -- 3.5.1 Secrecy in View of Trusted Relays -- 3.5.2 Secrecy in View of Untrusted Relays -- Chapter 4: Relay and Jammer Selection Schemes for Secure One-Way Cooperative Networks -- 4.1 Introduction -- 4.2 System Model and Problem Formulation -- 4.2.1 Presence of One Eavesdropper -- 4.2.1.1 System Model -- 4.2.1.2 Problem Formulation -- 4.2.2 Presence of Multiple Eavesdroppers -- 4.2.2.1 System Model -- 4.2.2.2 Problem Formulation -- 4.3 Relay and Jammer Selection Schemes -- 4.3.1 Presence of One Eavesdropper -- 4.3.1.1 Selection Schemes without Jamming -- 4.3.1.2 Selection Schemes with Conventional Jamming -- 4.3.1.3 Selection Schemes with Controlled Jamming -- 4.3.1.4 Hybrid Selection Schemes -- 4.3.2 Presence of Multiple Eavesdroppers -- 4.3.2.1 Selection Schemes without Jamming -- 4.3.2.2 Selection Schemes with Conventional Jamming -- 4.3.2.3 Selection Schemes with Controlled Jamming -- 4.4 Numerical Results and Discussion -- 4.4.1 Impact of Changing the N-Relays Set Location with Respect to the Destination and the Eavesdropper -- 4.4.2 Impact of Changing the Eavesdropper Location with Respect to the Source and the Destination. 4.4.3 Impact of the Presence of Multiple Eavesdroppers -- 4.5 Conclusion -- Chapter 5: Relay and Jammer Selection Schemes for Secure Two-Way Cooperative Networks -- 5.1 Introduction -- 5.1.1 Related Work -- 5.1.2 Chapter Contributions -- 5.2 Network Model and Assumptions -- 5.2.1 Single Eavesdropper Model -- 5.2.1.1 Network Model -- 5.2.1.2 Problem Formulation -- 5.2.2 Multiple Eavesdroppers Model -- 5.2.2.1 Network Model -- 5.2.2.2 Problem Formulation -- 5.3 The Proposed Relay and Jammer Selection Schemes -- 5.3.1 Selection Schemes in the Presence of One Eavesdropper -- 5.3.1.1 Selection Schemes without Jamming -- 5.3.1.2 Selection Schemes with Conventional Jamming -- 5.3.1.3 Selection Schemes with Controlled Jamming -- 5.3.1.4 Hybrid Selection Schemes -- 5.3.2 Selection Schemes in the Presence of Multiple Eavesdroppers -- 5.3.2.1 Selection Schemes with Noncooperating Eavesdroppers -- 5.3.2.2 Selection Schemes with Cooperating Eavesdroppers -- 5.4 Numerical Results and Discussion -- 5.4.1 Secrecy Performance for the Single Eavesdropper Model -- 5.4.1.1 Secrecy Performance When Changing the N-Relays Set Location in the Considered Area -- 5.4.1.2 Secrecy Performance When Changing the Eavesdropper Location with Respect to the Two Sources (S1 and S2) -- 5.4.2 Secrecy Performance for the Multiple Eavesdroppers Model -- 5.5 Conclusion -- Section II : SECURITY AND DATA RELIABILITY IN WIRELESS SENSOR NETWORKS -- Chapter 6: Overview on Sensor Networks -- 6.1 Wireless Sensor Network -- 6.1.1 Types of WSNs -- 6.1.1.1 Deployment Classification -- 6.1.1.2 Environment Classification -- 6.1.2 WSN Modes of Operation -- 6.1.3 WSN Applications -- 6.1.3.1 Industrial Control and Monitoring -- 6.1.3.2 Security and Military Sensing Applications -- 6.1.3.3 Intelligent Agriculture and Environmental Sensing Applications -- 6.1.3.4 Health Monitoring Applications. 6.1.3.5 Home Automation and Consumer Electronics -- 6.1.3.6 Other Commercial Applications -- 6.1.4 Factors Influencing Sensor Network Design -- 6.1.4.1 Fault Tolerance -- 6.1.4.2 Scalability -- 6.1.4.3 Production Costs -- 6.1.4.4 Hardware Constraints -- 6.2 Unattended WSN -- 6.2.1 Advantages of UWSN -- 6.2.1.1 Robustness/Ability to Withstand Rough Environmental Conditions -- 6.2.1.2 Ability to Cover Wide and Dangerous Areas -- 6.2.1.3 Self-Organizing -- 6.2.1.4 Ability to Master Node Failures -- 6.2.1.5 Mobility of Nodes -- 6.2.1.6 Dynamic Network Topology -- 6.2.1.7 Heterogeneity of Nodes -- 6.2.1.8 Multihop Communication -- 6.2.1.9 Unattended Operation -- 6.2.2 Disadvantages of UWSN -- 6.2.2.1 Limited Energy Resources -- 6.2.2.2 Lower Data Rates -- 6.2.2.3 Communication Failures -- 6.2.2.4 Security Issues -- 6.2.3 Applications of UWSNs -- 6.2.4 Mobile Adversary -- 6.2.5 Security Goals -- 6.2.6 Security Challenges -- 6.2.7 Possible Attacks on Nodes -- Chapter 7: Cooperative Hybrid Self-Healing Randomized Distributed Scheme for UWSN Security -- 7.1 Introduction -- 7.2 Overview of UWSN Security Challenges -- 7.3 UWSN System Model -- 7.3.1 Network Model -- 7.3.2 Adversary Model -- 7.3.3 Data Secrecy -- 7.3.4 Sensor States -- 7.4 CHSHRD Scheme -- 7.4.1 CHSHRD Scheme Steps -- 7.4.2 Analytical Model of CHSHRD Scheme -- 7.4.2.1 Proactive Peers -- 7.4.2.2 Reactive Peers -- 7.5 Numerical Results and Discussions -- 7.5.1 Theoretical Results -- 7.5.2 Simulation Results -- 7.6 Summary -- Chapter 8: Self-Healing Cluster Controlled Mobility Scheme for Self-Healing Enhancement -- 8.1 Introduction -- 8.2 Network Model and Assumptions -- 8.2.1 Network Model -- 8.2.2 Sensor States -- 8.2.3 Compromising and Data Secrecy -- 8.3 SH-CCM Simulation Analysis -- 8.4 SH-CCM Scheme Analytical Analysis -- 8.4.1 Network Level Analysis -- 8.4.2 Cluster Level Analysis. 8.5 Results and Discussion -- 8.5.1 Simulation Results -- 8.5.2 Analytical Results -- 8.6 Summary -- Chapter 9: Self-Healing Single Flow Controlled Mobility within a Cluster Scheme for Energy Aware Self-Healing -- 9.1 Introduction -- 9.2 System Model and Assumptions -- 9.2.1 Network Model -- 9.2.2 Adversary Model -- 9.2.3 Mobility Model -- 9.2.4 Energy Models -- 9.2.4.1 Energy Communication Model -- 9.2.4.2 Energy Motion Model -- 9.3 Trade-Off between Mobility and Other Network Aspects -- 9.4 Proposed SH-SFCCM Scheme -- 9.5 Simulation Setup and Performance Evaluation -- 9.5.1 Simulation Setup -- 9.5.2 Performance Evaluation -- 9.5.2.1 Impact of Mobility Energy Consumption -- 9.5.2.2 Extensive Analysis of SH-SFCMC -- 9.6 Summary -- Chapter 10: Conclusion and Future Work -- 10.1 Part One Conclusion -- 10.2 Part Two Conclusion -- 10.3 Future Work -- Appendix A: MATLAB® Simulation Codes for Chapter 4 -- Appendix B: MATLAB® Simulation Codes for Chapter 5 -- Appendix C: MATLAB® Simulation Codes for Chapter 7 -- Appendix D: MATLAB® Simulation Codes for Chapter 8 -- Appendix E: MATLAB® Simulation Codes for Chapter 9 -- References -- Index. EBL201806 Computing and Computers SzGeCERN EBL Cooperating objects (Computer systems)-Reliability EBL Cooperating objects (Computer systems)-Security measures EBL Wireless sensor networks-Reliability BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5372019 ebook n 201823 201806 21 PUBLIC BOOK DELETED 2623309 SzGeCERN 20180716233702.0 9780128110621 (electronic bk.) electronic version 9780128110614 electronic version EBL 5355870 eng QD474 .D574 2018 541.2242 Kharisov, B I Direct synthesis of metal complexes San Diego, CA Elsevier 2018 470 p Front Cover -- Direct Synthesis of Metal Complexes -- Copyright -- Dedication -- Contents -- Contributors -- Foreword -- Preface -- Part 1: History and State of the Art of the "Direct Synthesis" Methods -- Educational and Historical Aspects of Direct Synthesis of Metal Complexes -- 1. Introduction -- 2. Historical Development of Direct Synthesis -- 2.1. Modern Times -- 3. Pedagogical Value: Why Incorporate Direct Synthesis in the Undergraduate Laboratory? -- 3.1. Gas Phase Direct Synthesis -- 3.2. Synthesis in Liquid Phase by Direct Interaction of Metals and Ligands -- 3.3. Mechanochemical Synthesis (Tribosynthesis) -- 3.4. Direct Electrochemical Synthesis -- 4. Ultrasonic and Microwave Mediated Direct Synthesis -- 5. Conclusion -- References -- Recent Advances in Direct Synthesis of Organometallic and Coordination Compounds -- 1. Indirect Synthesis -- 2. Direct Synthesis -- 3. Group I -- 4. Group 7 -- 5. Group 8 -- 6. Group 9 -- 7. Group 10 -- 8. Group 11 -- 9. Group 12 -- 10. Group 13 -- 11. Group 14 -- 12. Group 15 -- 13. Group 16 -- 14. Summary and Outlook -- References -- Further Reading -- Direct Electrochemical Synthesis of Metal Complexes -- 1. Basic Concepts -- 2. Electrochemical Thermodynamics -- 2.1. Reversible Processes -- 2.2. Liquid Junction Potentials -- 3. Electrochemical Kinetics -- 3.1. Current Equation and Potential -- 3.2. Overpotential and Current -- 3.3. Butler-Volmer Equation -- 3.4. Tafel Equations -- 4. Reaction Mechanisms -- 5. Electrochemical Cells -- 6. Solvents and Supporting Electrolytes -- 7. Metals -- 8. Ligands -- 8.1. Ligands With O as Donor Groups -- 8.2. Ligands With N as Donor Groups -- 8.3. Ligands With S as Donor Groups -- 8.4. Ligands With P as Donor Groups -- 8.5. Ligands With Se as Donor Groups -- 9. Conclusions and Further Outlook -- References -- Further Reading. Cryochemical Co-condensation of Metal Vapors and Organic Compounds -- 1. Introduction -- 2. Formation of Metal Organosols Under the Low-temperature Vapor Co-condensation -- 2.1. Interaction Between Components of the Cryomatrix -- 2.2. Secondary Aging Processes of Metallic Nanoparticles -- 2.3. Bimetallic Colloidal Systems Prepared via the MVCS Method -- 2.4. Thermal Degradation of the Stabilizers for Nanoparticles Prepared by the MVCS Method -- 3. Preparation of Metal-Organic Compounds via the Metal-Vapor Cryosynthesis -- 3.1. Synthesis of Metal-Organic Compounds With σ-Bonds M-C -- 3.2. Synthesis of Metal-Organic Compounds Containing π-Bonds M-C -- 4. Synthesis of Catalysts by Low-temperature Co-condensation of Metal Vapors and Organic Compounds -- 4.1. Metal Complex Catalysts Prepared by the MVCS Method -- 4.2. Microheterogeneous Catalysts Prepared by the MVCS Method -- 4.3. Heterogeneous Catalysts Prepared by the MVCS Method -- 5. Conclusions -- References -- Part 2: "Direct" Methods in the Preparation of Distinct Types of Complexes -- Direct Synthesis of Heterometallic Complexes -- 1. Introduction -- 2. Salt Route -- 2.1. Heterometallic Complexes With Aminoalcohols Ligands -- 2.2. Heterometallic Complexes With Schiff-Base Ligands -- 2.3. Heterotrimetallic Complexes -- 3. Ammonium Salt Route -- 3.1. Heterometallic Complexes With Aprotic Ligands -- 3.2. Heterometallic Complexes With Ligands Formed In Situ -- 3.3. Anionic Complexes as a Source of Second Metal in Direct Synthesis of Heterometallic Compounds -- 3.4. Permanganate as a Source of Manganese in Direct Synthesis of Heterometallic Complexes -- 4. Conclusions -- References -- New Trends in the Direct Synthesis of Phthalocyanine/Porphyrin Complexes -- 1. Introduction -- 2. Classical Approach of Phthalocyanine/Porphyrin Complexes Direct Synthesis. 2.1. Features of Synthesis of Phthalocyanine Complexes With Metals of a Different Nature -- 2.2. Complex Formation Between Zero-Valent Metal Carbonyls and Porphyrins -- 3. New Methods of Phthalocyanine/Porphyrin Complexes Direct Synthesis -- 3.1. Synthesis of Phthalocyanine Complexes Using Microwave Irradiation -- 3.2. Electrosynthesis of Phthalocyanine Complexes -- 3.3. Direct Template Synthesis of Porphyrin/phthalocyanine Solid Supported Complexes -- 3.4. Direct Metalation of a Phthalocyanine Monolayer -- 3.5. Oxidative Dissolution of a Metal by a Large Organic Ligand -- 3.6. One-pot Synthesis of Few Porphyrin Complexes by Reductive Coordination of p/3d-4d Metal in Stabile Oxidation State -- References -- Further Reading -- Increasing the Rate of the Direct Synthesis Complex Compounds -- 1. The Accumulation of Metallic Elements in the Technological Waste -- 2. The Use of Direct Synthesis of Complex Compounds for Extraction of Metallic Elements from Industrial Waste -- 3. Effect on the Rate, Selectivity, and Yield of the Donor-Acceptor Interaction Product of a Number of Physical and Chemi ... -- 4. Accelerate the Direct Synthesis of Complex Compounds When Moving and Delivery of the Ligand Molecule in the Surfactant ... -- 5. Effect of Porous Silica on Coordinating the Interaction -- 6. Contact the Kinetic Characteristics of the Direct Synthesis of Complex Connections with the Debye Temperature of the M ... -- References -- Further Reading -- Part 3: "Direct Synthesis" and Nanotechnology -- Direct Synthesis of Nanomaterials: Building Bridges Between Metal Complexes and Nanomaterials* -- 1. Introduction -- 2. Analogies Among Metal Complexes and Nanomaterials -- 3. Direct Synthesis of Nanomaterials -- 3.1. Direct Electrosynthesis -- 3.2. Tribosynthesis or Mechanosynthesis -- 3.3. Other Methods -- 3.3.1. Sonochemistry. 3.3.2. High-Energy Mediated Direct Synthesis -- 3.4. Oxidative Dissolution in Liquid Phase -- 4. Novel Strategies for the Direct Synthesis of Nanomaterials -- 5. Perspectives -- References -- Part 4: Practical Applications of "Direct" Methods -- Direct Synthesis of Air-Stable Metal Complexes for Desalination (and Water Treatment) -- 1. Introduction -- 2. Direct Synthesis of Metal Complexes (ASMC) -- 2.1. Generic ASMC Formation Process -- 2.2. Cu, Al and Si Ions -- 2.3. Zero Valent Iron (Fe0) -- 3. ASMC Desalination -- 3.1. ASMC Used for Desalination -- 4. Simplified ASMC Desalination Process -- 5. Dubinin-Astakhov Adsorption-Desorption Model -- 6. Equilibrium Desalination Level -- 7. Manipulation of Desalination Rates by Altering Eh and pH -- 8. Redox Oscillation -- 8.1. Nature of the Oscillating Redox Environment -- 8.2. Aerobic Na+ and Cl- Ion Desorption -- 9. Desalination Rate Constant -- 10. Catalyst Types -- 11. Statistical Evaluation -- 11.1. Desalination Versus Probability -- 12. Commercial Applications -- 13. Production of Irrigation Water -- 13.1. Example Application for a Wheat Crop -- 13.2. Market for Partially Desalinated Irrigation Water -- 14. Processing of Reject Brine Associated With Conventional Desalination Plants -- 15. Principal ASMC Desalination Technical Advances (2010-2017) -- 16. Future Commercial Applications -- References -- Further Reading -- Applications of Heterometallic Complexes in Catalysis -- 1. Heterometallic Complexes in Catalysis of Cycloalkane Oxidation -- 2. Alternative Catalytic Applications of Metallic Complexes Obtained by Direct Synthesis -- 3. Metallic Complexes From Direct Synthesis as Potential Catalysts -- 4. Conclusions -- References -- Recent Advances in Corrosion Science: A Critical Overview and a Deep Comprehension -- 1. Introduction -- 2. The Aim and the Objective of This Chapter. 3. The Need and the Rationale Behind This Chapter -- 4. What Is Corrosion? -- 4.1. Galvanic Corrosion -- 4.2. Chemistry of Corrosion -- 4.3. The Consequences of Corrosion -- 5. Technological Advancements in Corrosion Science -- 6. The Challenge of Science, Scientific Introspection, and the Present Status of Corrosion Science -- 7. Corrosion Chemistry, the Challenges, and the Visionary Road Toward the Future -- 8. The Vision of Corrosion Processes and the Scientific Progress Ahead -- 9. Technological Vision in Corrosion Processes and the Wide Scientific Endeavor -- 10. Recent Scientific Endeavor in the Field of Corrosion Science and Engineering -- 11. The Vision of Material Science, the Wide World of Chemical Process Engineering and the Vision for the Future -- 12. The Cost of Corrosion and Its Challenge and Vision -- 12.1. Examples of Catastrophic Corrosion Damage -- 13. Environmental Corrosion, Atmospheric Corrosion, and the Road Ahead -- 13.1. Atmospheric Corrosion -- 13.2. Natural Waters and Seawater -- 13.3. Corrosion of Soils, Reinforced Concrete and the Effect of Microbes and Fouling -- 13.4. High Temperature Corrosion -- 13.5. Thermodynamic Principles -- 13.6. Kinetic Principles -- 13.7. Practical High-Temperature Corrosion Problems -- 13.8. Modeling, the Vision of Life Prediction, and Computer Applications -- 13.9. Corrosion Failures -- 13.10. Prevention of Corrosion Damage -- 14. Scientific Doctrine of Corrosion Science and Its Scientific Vision -- 15. Scientific Cognizance and the Progress in Nanoscience and Nanotechnology -- 16. Nanotechnology, Corrosion Science and the Vision for the Future -- 17. Nanotechnology and Sustainability: The Visionary Domains of Science -- 18. Chemistry of Corrosion Science and the Widening Vision Today -- 19. Corrosion Science and Environment. 20. Environmental Sustainability, the Environment and the Success of Nanotechnology. 9780128110614 print version oai:cds.cern.ch:2623309 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5355870 ebook ebook EBL Coordination compounds-Synthesis EBL201806 Chemical Physics and Chemistry SzGeCERN BOOK n 201823 201806 21 PUBLIC BOOK DELETED 2623244 SzGeCERN 20210421204715.0 9781119296355 9781119298953 1119298954 oai:cds.cern.ch:2623244 cerncds:BOOK SAFARI 9781119296355 eng TK7895.M4 .P756 2018 004.678 Prince, Betty Memories for the intelligent Internet of Things Newark, NJ John Wiley & Sons 2018 345 p ebook Intro -- Title Page -- Copyright Page -- Contents -- Introduction to the Intelligent Internet of Things -- Chapter 1 Smart Cities as the Prototype of the Intelligent Internet of Things -- 1.1 Overview -- 1.2 Smart Cities -- 1.3 Smart Commerce as an Element of the Smart City -- 1.3.1 Smart Inventory Control -- 1.3.2 Smart Delivery -- 1.3.3 Smart Marketing Using Artificial Intelligence -- 1.4 Smart Residences -- 1.4.1 A City of Smart Connected Homes -- 1.5 People as Center of Smart Connected Homes -- 1.5.1 Wearable Electronics -- 1.5.2 Control Electronics -- 1.6 Smart Individual Transportation -- 1.6.1 Overview of Smart Automobiles -- 1.6.2 Driving Aids -- 1.6.3 Engine Processors -- 1.6.4 Auto Body Processors -- 1.6.5 Infotainment Processors -- 1.6.6 Autonomous Cars -- 1.7 Smart Transportation Networks -- 1.7.1 Smart Public Conveyance Networks -- 1.7.2 Individual Automotive Traffic Control -- 1.7.3 Smart Highways -- 1.8 Smart Energy Networks -- 1.8.1 Smart Electrical Meters -- 1.8.2 Smart Electrical Grids -- 1.9 Smart Connected Buildings -- 1.9.1 Smart Office Buildings -- 1.9.2 Smart Factories -- 1.9.3 Intelligent Hospitals -- 1.9.4 Smart Public Buildings -- 1.10 Thoughts -- References -- Chapter 2 Memory Applications for the Intelligent Internet of Things -- 2.1 Introduction -- 2.2 Comparisons of the Various Nonvolatile Embedded Memories Characteristics -- 2.2.1 Embedded EEPROM, Flash, and Fuse Devices -- 2.2.2 Embedded Emerging Memory Devices in MCU -- 2.2.3 Required Properties of Embedded Nonvolatile Memories in Various Applications -- 2.3 Circuits Using Ultralow Power MCU with Embedded Memory for Energy Harvesting -- 2.3.1 Introduction to Ultralow Power MCU Using Energy Harvesting -- 2.3.2 Ultralow Power MCU with Embedded Flash Memory for Energy Harvesting -- 2.3.3 Ultralow Power MCU with Embedded FeRAM Memory for Energy Harvesting. 2.3.4 Ultralow Power MCU with Embedded RRAM Memory for Energy Harvesting -- 2.3.5 Ultralow Power MCU for Energy Harvesting Power Management -- 2.4 Ultralow Power Battery Operated Flash MCU -- 2.4.1 Introduction to Ultralow Power Battery Operated Flash MCU -- 2.4.2 Ultralow Power Battery Operated Flash MCU with Embedded Flash Memory -- 2.4.3 Ultralow Power Battery Operated MCU with Embedded RRAM -- 2.4.4 Ultralow Power Battery Operated MCU with Embedded FeRAM -- 2.5 Nonvolatile MCUs Using Emerging Memory for Nonvolatile Logic -- 2.5.1 Nonvolatile Logic Arrays Using FeRAM -- 2.5.2 Nonvolatile Logic Arrays Using MTJ MRAM -- 2.5.3 Processors with RRAM for Nonvolatile Logic Arrays -- 2.6 Communication Protocols for Memory Sensor Tags -- 2.6.1 Radio Frequency Identification (RFID) Tags -- 2.6.2 Near Field Communications (NFC) -- 2.6.3 Bluetooth-Based Beacons and Sensor Nodes -- 2.6.4 IoT Devices with Wi-Fi -- 2.6.5 IoT Devices with USB Connectivity -- 2.6.6 Single Wire Connectivity -- 2.6.7 Zigbee Interface -- 2.6.8 ANT Interface -- 2.7 Wearable Medical Devices -- 2.7.1 Overview of Wearable Medical Devices -- 2.7.2 Miniature Hearing Aids Using FeRAM Memory -- 2.7.3 Body Sensor Node Platforms Using CB-RAM Memory -- 2.7.4 "Store Mostly" Healthcare Systems Using MRAM -- 2.7.5 Wearable Biomonitoring with NFC and eFeRAM Memory -- 2.7.6 Wearable Healthcare System with ECG Processor Using FeRAM -- 2.8 Low Power Battery Operated Medical Devices and Systems -- 2.8.1 Overview of Low Power Battery Operated Medical Devices -- 2.8.2 Low Power Battery Operated Medical Devices Using eFlash -- 2.8.3 LP Battery Operated Medical Devices Using Embedded Emerging Memories -- 2.8.4 Security for Medical Systems -- 2.9 Automotive Network Applications -- 2.9.1 Overview of the Automotive Application -- 2.9.2 Early Advanced Automotive Driver Assistance Systems. 2.9.3 More Recent Advanced Driver Assistance Systems (ADAS) -- 2.9.4 Automotive Navigation and Positioning -- 2.9.5 Under-the-Hood Applications -- 2.9.6 MONOS Memory for Under-the-Hood Applications -- 2.9.7 Automotive Infotainment -- 2.9.8 Secure Automotive -- 2.9.9 Automotive Body Processors -- 2.10 Smart Electrical Grid and Digital Utility Smart Meters -- 2.10.1 Overview of the Smart Meter Market -- 2.10.2 Smart Meter Chips with Embedded Flash Memory -- 2.10.3 Smart Meter Chips with Large Embedded Flash Memory -- 2.11 Consumer Home Systems and Networks -- 2.11.1 Remote Controls -- 2.11.2 Environmental Sensors -- 2.11.3 Home Network Systems -- 2.12 Motor Control Chips with Embedded Memory -- 2.12.1 Small System Motor Control Using Embedded Memory -- 2.12.2 Motor Control for Multiple Motors Using Embedded MONOS Memory -- 2.12.3 Motor Control with Embedded NV FeRAM -- 2.13 Smart Chip Cards in Advanced Applications -- 2.14 Analysis of Big Data Server Memory Hierarchy for Storing IoT -- Chapter 3 Embedded Flash and EEPROM for Smart IoT -- 3.1 Introduction to eFlash and eEEPROM for Smart IoT -- 3.1.1 Overview of eFlash and eEEPROM for Smart IoT -- 3.1.2 Summary of Application Requirements for Embedded Flash in IoT -- 3.2 Single Poly Floating Gate eFlash/EEPROM Cells for IoT -- 3.2.1 Overview of Single Poly Floating Gate eFlash/EEPROM for IoT -- 3.2.2 Early Single Polysilicon Floating Gate EEPROMS -- 3.2.3 Single Poly EEPROM Cells for Specialty Applications -- 3.2.4 Multitime-Programmable Single Poly Embedded Nonvolatile eMemories -- 3.2.5 Recent Single Poly Fully CMOS Embedded EEPROM Devices -- 3.2.6 Single Polysilicon eNVM in High Voltage CMOS -- 3.3 eFlash Cells Using Multiple Single Polysilicon CMOS Logic Transistors -- 3.4 Split Gate Technology for Floating Gate Embedded Flash -- 3.4.1 Early Split Gate Embedded Flash Floating Gate Technology. 3.4.2 Issues, Peripherals, and Applications-Specific FG Split Gate Memory -- 3.4.3 Advanced Split Gate Floating Gate Technology below 50 nm -- 3.5 Stacked Flash and Processor TSV Integration -- 3.6 OTP/MTP Embedded Flash Cells and Fuses -- 3.7 Stacked Gate Double Poly Flash -- 3.8 Charge Trapping eFlash -- 3.8.1 Overview of Early Embedded Charge Trapping Memory -- 3.8.2 Embedded 40 nm Charge Trapping (MONOS) Flash MCU -- 3.8.3 Embedded 28 nm Charge Trapping (MONOS) Flash MCU -- 3.8.4 Embedded Application-Specific 1T-MONOS Flash Macro -- 3.8.5 FinFET SG-MONOS -- 3.8.6 Embedded Charge Trapping (SONOS) NOR Flash -- 3.8.7 Embedded 2T SONOS NVM in HV CMOS -- 3.8.8 Self-Aligned Nitride Logic NVM -- 3.8.9 p-Channel SONOS Embedded Flash -- 3.8.10 Charge Trap eFlash for Low Energy Applications -- 3.8.11 Blocking and Tunnel Oxide of DT BE-SONOS Performance -- 3.8.12 Novel Embedded Charge Trap Memories -- 3.9 Split Gate CT eFlash Nanocrystal Storage -- 3.10 Novel Embedded Flash Memory -- References -- Chapter 4 Thin Film Polymer and Flexible Memories -- 4.1 Overview -- 4.2 Organic Ferroelectric Memories -- 4.2.1 Characteristics and Features of Organic Ferroelectric Memories -- 4.2.2 Printable Ferroelectric Embedded Memories -- 4.2.3 IoT Applications of Thin Film Ferroelectric Memory -- 4.3 Polymer Ferroelectric Tunnel Junctions -- 4.4 Types and Characteristics of Polymer Resistive RAMs with Flexible Substrate -- 4.4.1 Overview of Polymer Resistive RAMs with Flexible Substrate -- 4.4.2 Parylene-C-Based Resistive RAM -- 4.4.3 Cu Atom Switches -- 4.4.4 Inorganic Thin Film Resistive RAMs on Flexible Substrates -- 4.4.5 IZO and IGZO Resistive RAM Memories -- 4.4.6 Other Polymer Resistive RAMS with Flexible Substrates -- 4.5 Charge Trapping Nanoparticle (NP) Memory on Flexible Substrates -- 4.5.1 Overview of Charge Trapping NP Memory on Flexible Substrates. 4.5.2 Carbon Nanotube Charge Trapping Memory with Flexible Substrates -- 4.5.3 Inkjet Printed Nanoparticle Memory -- 4.5.4 Other Nanoparticle Charge Trapping Memories on Flexible Substrates -- 4.6 Transfer of Conventional Memory Chips on to Flexible Substrates -- 4.6.1 Transfer of Silicon Chips Using SOI Base Wafers -- 4.6.2 Creating Thin Chips Using an Underlying Cavity -- 4.6.3 Fan-Out Wafer Level Packaging for Assembling Silicon Chips on Flexible Substrate -- References -- Chapter 5 Neuromorphic Computing Using Emerging NV Memory Devices -- 5.1 Overview of Resistive RAMs and Ferroelectric RAMs in Neuromorphic Systems -- 5.2 Various Resistive RAMs for use as Synapses in Neuromorphic Systems -- 5.2.1 Metal Oxide Resistive RAM (MO-RRAMs) as Synapses -- 5.2.2 Conductive Bridge RRAM (CB-RRAM) as Synapses -- 5.2.3 Phase Change Memory (PCM) as Synapses -- 5.2.4 PCMO RRAM as Synapses -- 5.2.5 RRAM with Simultaneous Potentiation and Depression -- 5.2.6 Other Nonvolatile Memories with Analog Properties -- 5.3 3D Neuromorphic Memories -- 5.3.1 Neuromorphic Architectures as Dense TSV 3D Structures -- 5.3.2 3D Vertical RRAMs as Synapses Connecting Neurons -- 5.4 Modeling and Characterization of RRAMs as Synaptic Devices -- 5.5 Spiking Neural Nets, STDP, Potentiation, and Depression -- 5.5.1 Introduction to Spiking Neural Networks -- 5.5.2 Hybrid RRAM/CMOS STDP Neuromorphic Systems -- 5.5.3 Memory Synapse and Neuron Systems -- 5.5.4 Novel RRAM Synapse Applications -- 5.6 Neural Network Systems Using Ferroelectric RAM Technology -- 5.6.1 Neural Network Circuits Using Ferroelectric Memory (FeMEM) Synapses -- 5.6.2 Using the FeMEM in Neural Network Circuits -- 5.6.3 Ferroelectric Tunnel Junctions in Neuromorphic Circuits -- 5.7 Early Neuromorphic Computers Using Phase Change Memory -- 5.8 Resistive RAMs in Neuromorphic System Design and Application. 5.8.1 Design for Synaptic Devices for Neuromorphic Computing. SAF201912 EBLlink deleted SzGeCERN Computing and Computers EBL Computer storage devices BOOK Prince, David https://learning.oreilly.com/library/view/-/9781119296355/?ar ebook 201806 n 201823 21 PUBLIC https://catalogue.library.cern/legacy/2623244 BOOK MIGRATED 2623237 SzGeCERN 20210421204716.0 9781138568259 print version 9781351339520 electronic version electronic version oai:cds.cern.ch:2623237 cerncds:BOOK EBL 5352283 eng T385 .G6888 2018 006.6 Engel, Wolfgang GPU Pro 360 guide to geometry manipulation Milton Chapman and Hall/CRC 2018 343 p ebook Cover -- Half Title -- Title -- Copyrights -- Contents -- Introduction -- Web Materials -- Chapter 1. As Simple as Possible Tessellation for Interactive Applications -- 1.1 Basic Phong Tessellation Operator -- 1.2 Extension to Quads -- 1.3 Results and Discussion -- Bibliography -- Chapter 2. Rule-Based Geometry Synthesis in Real-Time -- 2.1 Introduction -- 2.2 Building Up the Scene with Procedures -- 2.3 L-systems and the PGI -- 2.4 Model Details and Implementation -- 2.5 Interaction with the Procedural Scene -- 2.6 Results -- 2.7 Conclusion -- Bibliography -- Chapter 3. GPU-Based NURBS Geometry Evaluation and Rendering -- 3.1 A Bit of NURBS Background -- 3.2 Related Work -- 3.3 NURBS Surface and Curve Evaluation -- 3.4 Trimmed NURBS Surface Evaluation -- 3.5 Results and Conclusion -- Bibliography -- Chapter 4. Polygonal-Functional Hybrids for Computer Animation and Games -- 4.1 Introduction -- 4.2 Background -- 4.3 Working with FRep Models Using the GPU -- 4.4 Applications -- 4.5 Tools -- 4.6 Limitations -- 4.7 Conclusion -- 4.8 Source Code -- Bibliography -- Chapter 5. Terrain and Ocean Rendering with Hardware Tessellation -- 5.1 DirectX 11 Graphics Pipeline -- 5.2 De nition of Geometry -- 5.3 Vertex Position, Vertex Normal, and Texture Coordinates -- 5.4 Tessellation Correction Depending on the Camera Angle -- 5.5 Conclusions -- Bibliography -- Chapter 6. Practical and Realistic Facial Wrinkles Animation -- 6.1 Background -- 6.2 Our Algorithm -- 6.3 Results -- 6.4 Discussion -- 6.5 Conclusion -- 6.6 Acknowledgments -- Bibliography -- Chapter 7. Procedural Content Generation on the GPU -- 7.1 Abstract -- 7.2 Introduction -- 7.3 Terrain Generation and Rendering -- 7.4 Environmental E ects -- 7.5 Putting It All Together -- 7.6 Conclusions and Future Work -- Bibliography -- Chapter 8. Vertex Shader Tessellation -- 8.1 Overview -- 8.2 Introduction. 8.3 The Basic Vertex Shader Tessellation Algorithm -- 8.4 Per-Edge Fractional Tessellation Factors -- 8.5 Conclusion -- Bibliography -- Chapter 9. Optimized Stadium Crowd Rendering -- 9.1 Introduction -- 9.2 Overview -- 9.3 Content Pipeline -- 9.4 Rendering -- 9.5 Further Optimizations -- 9.6 Limitations -- 9.7 Conclusion -- 9.8 Acknowledgments -- Bibliography -- Chapter 10. Geometric Antialiasing Methods -- 10.1 Introduction and Previous Work -- 10.2 Algorithm -- 10.3 Conclusion and Future Work -- Bibliography -- Chapter 11. GPU Terrain Subdivision and Tessellation -- 11.1 Introduction -- 11.2 The Algorithm -- 11.3 Results -- 11.4 Conclusions -- Bibliography -- Chapter 12. Introducing the Programmable Vertex Pulling Rendering Pipeline -- 12.1 Introduction -- 12.2 Draw Submission Limitations and Objectives -- 12.3 Evaluating Draw Call CPU Overhead and the GPU Draw Submission Limitation -- 12.4 Programmable Vertex Pulling -- 12.5 Side E ects of the Software Design -- 12.6 Future Work -- 12.7 Conclusion -- Bibliography -- Chapter 13. A WebGL Globe Rendering Pipeline -- 13.1 Introduction -- 13.2 Rendering Pipeline Overview -- 13.3 Filling Cracks in Screen Space -- 13.4 Filling Poles in Screen Space -- 13.5 Overlaying Vector Data -- 13.6 Conclusion -- 13.7 Acknowledgments -- Bibliography -- Chapter 14. Dynamic GPU Terrain -- 14.1 Introduction -- 14.2 Overview -- 14.3 Terrain Data -- 14.4 Rendering -- 14.5 Dynamic Modi cation -- 14.6 Physics Synchronization -- 14.7 Problems -- 14.8 Conclusion -- Chapter 15. Bandwidth-E cient Procedural Meshes in the GPU via Tessellation -- 15.1 Introduction -- 15.2 Procedural Mesh and the Graphics Pipeline -- 15.3 Hull Shader -- 15.4 Domain Shader -- 15.5 Noise in Procedural Meshes -- 15.6 Performance Optimizations -- 15.7 Conclusion -- 15.8 Acknowledgments -- Bibliography. Chapter 16. Real-Time Deformation of Subdivision Surfaces on Object Collisions -- 16.1 Introduction -- 16.2 Deformable Surface Representation -- 16.3 Algorithm Overview -- 16.4 Pipeline -- 16.5 Optimizations -- 16.6 Results -- 16.7 Conclusion -- 16.8 Acknowledgments -- Bibliography -- Chapter 17. Realistic Volumetric Explosions in Games -- 17.1 Introduction -- 17.2 Rendering Pipeline Overview -- 17.3 O ine/Preprocessing -- 17.4 Runtime -- 17.5 Visual Improvements -- 17.6 Results -- 17.7 Performance -- 17.8 Conclusion -- 17.9 Acknowledgments -- Bibliography -- Chapter 18. Deferred Snow Deformation in Rise of the Tomb Raider -- 18.1 Introduction -- 18.2 Terminology -- 18.3 Related Work -- 18.4 Snow Deformation: The Basic Approach -- 18.5 Deferred Deformation -- 18.6 Deformation Heightmap -- 18.7 Filling the Trail over Time -- 18.8 Hardware Tessellation and Performance -- 18.9 Future Applications -- 18.10Acknowledgments -- Bibliography -- Chapter 19. Catmull- Clark Subdivision Surfaces -- 19.1 Introduction -- 19.2 The Call of Duty Method -- 19.3 Regular Patches -- 19.4 Irregular Patches -- 19.5 Filling Cracks -- 19.6 Going Further -- 19.7 Conclusion -- 19.8 Acknowledgments -- Bibliography -- About the Contributors. EBL201806 SzGeCERN Computing and Computers EBL Computer animation EBL Computer graphics EBL Graphics processing units-Programming EBL Rendering (Computer graphics) BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5352283 ebook 201806 n 201823 21 PUBLIC https://catalogue.library.cern/legacy/2623237 BOOK MIGRATED 2623235 SzGeCERN 20200610213334.0 9781138065178 print version 9781351660983 electronic version electronic version oai:cds.cern.ch:2623235 cerncds:BOOK EBL 5352279 eng RC967 .P497 2018 613.62 Licitra, Gaetano Physical agents in the environment and workplace noise and vibrations, electromagnetic fields and ionizing radiation Milton Chapman and Hall/CRC 2018 311 p ebook Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Editors -- Contributors -- Section I: Noise and Vibrations -- 1. Noise and Vibrations in the Environment -- 2. Industrial and Transport Infrastructure Noise -- 3. Exposure to Noise at the Workplace -- 4. Exposure to Vibration at the Workplace -- Section II: Electromagnetic Fields -- 5. Overview of the Basic Concepts of Electromagnetic Field Protection -- 6. Biological Effects from Electromagnetic Field Exposure: The Experience of the European EFHRAN Project -- 7. LF Sources - Electromagnetic Field Exposure Assessment: Source Modelling and Theoretical Estimation of Exposure Levels -- 8. RF Sources - Exposure Assessment of Mobile Phone Base Stations: 5th-Generation Wireless Communication Systems -- 9. Electromagnetic Field Exposure Assessment in Workers and the General Public: Measurement Techniques and Experimental Dosimetry -- Section III: Ionizing Radiation -- 10. Overview of the Basic Concepts of Radiation Protection -- 11. Source of Radiation Exposure in the Workplace: Nuclear, Medical and Industrial Sources -- 12. Environmental Radioactivity and Radioecology -- 13. Radon and NORM: Naturally Occurring Radioactive Materials -- Index. EBL201806 Health Physics and Radiation Effects SzGeCERN EBL Industrial hygiene BOOK d'Amore, Giovanni Magnoni, Mauro https://cds.cern.ch/auth.py?r=EBLIB_P_5352279 ebook n 201823 201806 21 PUBLIC BOOK DELETED 2623231 SzGeCERN 20210421204716.0 9781351617147 electronic version electronic version 9789814774383 print version oai:cds.cern.ch:2623231 cerncds:BOOK EBL 5352260 eng R857.M3 .B563 2018 610.284 Ahmed, Shakeel Biocomposites biomedical and environmental applications Milton Pan Stanford Publishing 2018 517 p ebook Cover -- Half Title -- Title -- Copyright -- Contents -- Preface -- Chapter 1. Composites from Natural Fibers and Bio-resins -- Vimla Paul and Maya Jacob John 1.1 Introduction -- 1.2 Lignocellulosic Fibers -- 1.2.1 Chemical Treatment of Banana Fiber -- 1.3 Bio-resins -- 1.3.1 Banana Sap -- 1.3.1.1 Physical and chemical properties of BS bio-resin -- 1.4 Biocomposites -- 1.5 Biodegradability of Hybrid Biocomposites -- 1.6 Conclusion -- Chapter 2. Advancements and Potential Prospects of Polymer/Metal Oxide Nanocomposites: From Laboratory Synthesis to Commercialization -- Deepali Sharma and Karan Vadehra 2.1 Introduction -- 2.2 Different Approaches for Nanocomposite Synthesis -- 2.2.1 Template Synthesis -- 2.2.2 In Situ Synthesis -- 2.2.3 Melt Mixing -- 2.2.4 Solution Intercalation -- 2.2.5 Electrospinning -- 2.2.6 Click Chemistry -- 2.3 Polymer-Based Metal Oxide Nanocomposites -- 2.3.1 Polymer-Iron Oxide-Based Nanocomposites -- 2.3.2 Polymer-Zinc Oxide-Based Nanocomposites -- 2.3.3 Polymer-Silica-Based Nanocomposites -- 2.3.4 Polymer-Titanium Oxide-Based Nanocomposites -- 2.4 Role of Metal Oxide Nanoparticles in Enhancing the Properties of Nanocomposites -- 2.5 Applications of Nanocomposites -- 2.5.1 Sensors -- 2.5.2 Energy Storage -- 2.5.3 Optoelectronics -- 2.5.4 Biomedical -- 2.5.5 Photocatalysis -- 2.6 Commercial Opportunities for Metal Oxide/ Polymer Nanocomposites -- 2.7 Conclusion and Future Prospects -- Chapter 3. Biomedical Insights of Lipid- and Protein-Based Biocomposites -- Aasim Majeed, Raoof Ahmad Najar, Shruti Chaudhary, Sapna Thakur, Amandeep Singh, and Pankaj Bhardwaj 3.1 Introduction -- 3.2 Protein-Based Biocomposites -- 3.2.1 Medical Applications of Protein-Based Composites -- 3.2.1.1 Tissue engineering -- 3.2.1.2 Cancer therapy -- 3.2.1.3 Wound healing -- 3.3 Lipid-Based Biocomposites. 3.3.1 Medical Applications of Lipid-Based Composites -- 3.3.1.1 Drug delivery -- 3.3.1.2 Cancer therapy -- 3.3.1.3 Antimicrobial application -- 3.3.1.4 Skin protection -- 3.3.1.5 Dental application -- 3.3.1.6 Miscellaneous -- 3.4 Conclusion -- Chapter 4. Biocomposites for Hyperthermia Applications -- Tomy J. Gutiérrez 4.1 Introduction -- 4.2 Synthesis of Iron Nanoparticles -- 4.2.1 Coprecipitation -- 4.2.2 Hydrothermal Method -- 4.3 Magnetite: Tumor Treatment Using External Magnetic Field -- 4.4 In Vivo Studies Demonstrating the Anticancer Effect of Magnetic Nanocarriers -- 4.5 In Vitro Studies Demonstrating the Improvement in Intake Rate of Anticancer Agents Loaded into Nanoparticles in Different Tumor Cells -- 4.6 Saturated Fatty Acids as Coatings for MNPs with Improved Properties as Anticancer Drugs Carriers -- 4.7 Fabrication, Characterization, and In Vitro Assay of Antitumor Activity of Magnetite Coated with Non-polar Shell Without Using External Magnetic Field -- 4.8 Biocomposites from Iron Nanoparticles: Biopolymers -- 4.9 Biocomposites from Iron Nanoparticles: Hydroxyapatite -- 4.10 Conclusion -- Chapter 5. Biocomposites Based on Natural Fibers: Concept and Biomedical Applications -- Raoof Ahmad Najar, Aasim Majeed, Gagan Sharma, Villayat Ali, and Pankaj Bhardwaj 5.1 Introduction -- 5.2 Types of Natural Fibers -- 5.3 Natural Fiber-Based Biocomposites -- 5.4 Biomedical Applications of Natural Fibers -- 5.4.1 Tissue Engineering -- 5.4.2 Dental Application -- 5.4.3 Wound Healing -- 5.4.4 Drug Delivery -- 5.5 Conclusion -- Chapter 6. Algae-Based Composites and Their Applications -- Richa Mehra, Satej Bhushan, Balraj Singh Gill, Wahid Ul Rehman, and Felix Bast 6.1 Introduction -- 6.2 Bio-based Natural Fibers -- 6.2.1 Algal versus Other Natural and Synthetic Fibers -- 6.2.2 Algal Constituents as Biocomposite Candidate. 6.2.2.1 Alginate -- 6.2.2.2 Cellulose -- 6.2.2.3 Agar -- 6.2.2.4 Carrageenan -- 6.3 Synthesis of Biocomposites -- 6.3.1 Algae Culture -- 6.3.2 Extraction of Algal Fiber -- 6.3.3 Natural Fiber Processing -- 6.4 Applications of Algae-Based Composites -- 6.4.1 Biosorption of Heavy Metals -- 6.4.2 Automotive Industry -- 6.4.3 Construction Materials -- 6.4.4 Medical Applications -- 6.4.5 Packaging Industry -- 6.4.6 Cosmetics -- 6.4.7 Textiles -- 6.4.8 Paper Industry -- 6.5 Challenges and Future Prospects -- Chapter 7. Going Green Using Colocasia esculenta Starch and Starch Nanocrystals in Food Packaging -- Bruce Saunders Chakara and Shalini Singh 7.1 Introduction -- 7.2 Food Packaging -- 7.2.1 Conventional Synthetic Packaging -- 7.2.2 Biofilms, Edible Films, and Coatings -- 7.3 Starch -- 7.3.1 Potato -- 7.3.2 Cassava -- 7.3.3 Maize -- 7.3.4 Amadumbe -- 7.4 Methods -- 7.4.1 Starch Extraction -- 7.4.1.1 Water extraction method -- 7.4.1.2 Alkaline extraction method -- 7.4.2 Preparation of Starch Nanocrystals -- 7.4.3 Film Preparation -- 7.4.3.1 Scanning electron microscopy -- 7.4.3.2 Transmission electron microscopy -- 7.5 Conclusion -- Chapter 8. Bionanocomposite Materials: Concept, Applications, and Recent Advancements -- Nafees Ahmad, Saima Sultana, Suhail Sabir, Ameer Azam, and Mohammad Zain Khan 8.1 Introduction -- 8.2 Types of Bionanocomposites -- 8.2.1 Polysaccharide-Based Bionanocomposites -- 8.2.1.1 Chitosan-based bionanocomposites -- 8.2.1.2 Cellulose-based bionanocomposites -- 8.2.1.3 Starch-based bionanocomposites -- 8.2.1.4 Chitin-based bionanocomposites -- 8.2.2 Nanoclay-Based Nanocomposites -- 8.2.3 Hallyosite-Based Nanocomposites -- 8.3 Preparation and Modifications -- 8.4 Special Properties of Bionanocomposites -- 8.4.1 Mechanical and Barrier Properties -- 8.4.1.1 Young's modulus and tensile strength. 8.4.1.2 Toughness and strain -- 8.4.2 Biological Properties -- 8.4.3 Thermal Properties -- 8.4.4 Antimicrobial Properties -- 8.5 Recent Advances in the Field of Bionanocomposites -- 8.6 Applications of Bionanocomposites -- 8.6.1 Electronic, Sensor, and Energy Generation -- 8.6.2 Biomedical Applications -- 8.6.3 Packaging Applications -- 8.7 Challenges -- 8.8 Conclusion and Future Trends -- Chapter 9. Plant Fiber-Reinforced Thermoset and Thermoplastic- Based Biocomposites -- T. P. Mohan and Krishnan Kanny 9.1 Introduction -- 9.2 Natural Fibers as Reinforcement -- 9.3 Woven and Non-woven Fabric -- 9.3.1 Woven Fabric -- 9.3.2 Non-woven Fabric -- 9.4 Comparison of Non-woven and Woven Fabrics -- 9.5 Mechanical Properties: Woven versus Non-woven Kenaf Fibers -- 9.6 Types of Plant Fibers and Chemical Treatments -- 9.6.1 Types of Plant Fibers -- 9.6.2 Chemical and Thermal Treatment of Fibers -- 9.6.2.1 Alkali treatments -- 9.6.2.2 Acid treatments -- 9.6.2.3 Pyrolysis treatments -- 9.6.2.4 Coating with silane treatment -- 9.6.2.5 Benzoylation treatment -- 9.7 Plant Fiber-Reinforced Thermoplastic Composites -- 9.7.1 Processing and Characterization for the Processing of Natural Fiber-Reinforced Thermoplastics -- 9.7.1.1 Polymer solution casting -- 9.7.1.2 Compression molding -- 9.7.1.3 Injection molding -- 9.7.2 Mechanical, Thermal, and Physical Properties -- 9.7.3 Flame-Retardant Properties of NFPCs -- 9.7.4 Biodegradability of NFPCs -- 9.7.5 Energy Absorption of NFPCs -- 9.7.6 Water Absorption Characteristics of NFPCs -- 9.8 Products and Applications of Plant Fiber- Reinforced Thermoplastics -- 9.9 Plant Fiber-Reinforced Thermoset Composites -- 9.9.1 General Characteristics of NFPCs -- 9.9.2 Vacuum-Assisted Resin Transfer Molding -- 9.9.3 Resin Transfer Molding -- 9.9.4 Benefits of RTM -- 9.9.5 Mechanical Properties of NFPCs. 9.9.6 Viscoelastic Behavior of NFPCs -- 9.10 Applications of Natural Fiber Polymer Composites -- 9.10.1 Natural Fiber Applications in the Industry -- 9.11 Rubber Composite Materials (Natural Fibers -- 9.11.1 Properties of Rubber Composites -- 9.11.2 Manufacturing Process of Rubber Composites -- 9.11.3 Applications of Rubber Composites -- 9.12 Conclusion and Future Scope -- Chapter 10. Multifaceted Applications of Nanoparticles and Nanocomposites Decorated with Biopolymers -- Natarajan Kumari Ahila, Arivalagan Pugazhendhi, Sutha Shobana, Indira Karuppusamy, Vijayan Sri Ramkumar, Ethiraj Kannapiran, Periyasamy Sivagurunathan, and Gopalakrishnan Kumar 10.1 Introduction -- 10.2 Biosynthesis of Metal Nanocomposites -- 10.2.1 Gold Nanoparticles -- 10.2.2 Silver Nanoparticles -- 10.2.3 Platinum Nanoparticles -- 10.2.4 Copper Nanoparticles -- 10.2.5 Titanium Oxide Nanoparticles -- 10.3 Biopolymers -- 10.3.1 Nanocomposites from Bacteria -- 10.3.2 Polyhydroxyalkanoates -- 10.3.3 Application of Biopolymer-Metal Nanocomposites -- 10.4 Biomedical Applications -- 10.4.1 Tissue Engineering -- 10.4.2 Drug-Delivery Systems -- 10.5 Conclusion -- Chapter 11. Bionanocomposites, Their Processing, and Environmental Applications -- Sagar Roy and Chaudhery Mustansar Hussain 11.1 Introduction: Biodegradable Polymers -- 11.2 Conventional Polymers versus Biodegradable Polymers -- 11.3 Classification and Properties of Biodegradable Polymers -- 11.3.1 Natural Biodegradable Polymers -- 11.3.1.1 Polysaccharides -- 11.3.1.2 Lignocellulosic complex (fibers -- 11.3.1.3 Starch -- 11.3.1.4 Chitin and chitosan -- 11.3.1.5 Alginic acid -- 11.3.2 Polypeptides of Natural Origin -- 11.3.2.1 Collagen and gelatin -- 11.3.2.2 Corn zein -- 11.3.2.3 Wheat gluten -- 11.3.2.4 Soy protein -- 11.3.2.5 Casein and caseinate -- 11.3.2.6 Whey proteins. 11.3.3 Biopolymers Synthesized from Bio-derived and Synthetic Monomers. EBL201806 Health Physics and Radiation Effects SzGeCERN EBL Biomedical engineering BOOK Ikram, Saiqa Kanchi, Suvardhan Bisetty, Krishna https://cds.cern.ch/auth.py?r=EBLIB_P_5352260 ebook n 201823 201806 21 PUBLIC https://catalogue.library.cern/legacy/2623231 BOOK MIGRATED 2623198 SzGeCERN 20200128202333.0 9781498728058 print version 9781498728072 electronic version electronic version oai:cds.cern.ch:2623198 cerncds:BOOK EBL 5345251 eng G70.4 .C488 2016 621.36/78 Chuvieco, Emilio Fundamentals of satellite remote sensing an environmental approach 2nd ed. Boca Raton, FL Chapman and Hall/CRC 2016 478 p ebook Front Cover -- Dedication -- Contents -- Preface -- Author -- Chapter 1: Introduction -- Chapter 2: Physical Principles of Remote Sensing -- Chapter 3: Sensors and Remote Sensing Satellites -- Chapter 4: Basis for Analyzing EO Satellite Images -- Chapter 5: Visual Interpretation -- Chapter 6: Digital Image Processing (I): Enhancements and Corrections -- Chapter 7: Digital Image Processing (II): Generation of Derived Variables -- Chapter 8: Validation -- Chapter 9: Remote Sensing and Geographic Information Systems -- Appendix -- References -- Back Cover. EBL201806 Engineering SzGeCERN EBL Environmental monitoring-Remote sensing EBL Global environmental change-Remote sensing EBL Remote sensing BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5345251 ebook n 201823 201806 21 PUBLIC BOOK DELETED 2623183 SzGeCERN 20210421204724.0 9783736987647 electronic version electronic version 9783736997646 print version oai:cds.cern.ch:2623183 cerncds:BOOK EBL 5341721 eng QA76.9.E58 .B738 2018 004.0286 Brauer, Benjamin Persuasive user-centric green is exploring the role and paving the way of information systems to induce pro-environmental behavior change Göttingen Cuvillier 2018 205 p ebook Göttinger Wirtschaftsinformatik 95 Intro -- List of Figures -- List of Tables -- Acronyms -- A. Foundations -- I. Introduction -- II. Theoretical Background -- B. Studies on User-Centric Environmental Sustainable InformationSystems -- I. Status Quo -- II. Theories and Mechanisms -- III. User Acceptance -- C. Contributions -- I. Findings for User-Centric Environmental Sustainable Information Systems -- II. Implications -- III. Concluding Remarks -- References -- Appendix -- Curriculum Vitae. EBL201806 SzGeCERN Computing and Computers BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5341721 ebook 201806 n 201823 21 PUBLIC https://catalogue.library.cern/legacy/2623183 BOOK MIGRATED 2622986 SzGeCERN 20210421204801.0 9783832534851 print version 9783832595029 electronic version electronic version oai:cds.cern.ch:2622986 cerncds:BOOK EBL 5231228 eng TJ810 .T74 2013 621.47 Töpfer, Christoph The photovoltaic support scheme in germany an environmental criteria assessment of the EEG feed-in tariffs Berlin Logos 2013 206 p ebook Studies in infrastructure and resources management 4 Intro -- 1 Introduction -- 1.1 Approaching the Issue -- 1.2 Methodology -- 1.3 Structure of the Study -- 2 Supporting Photovoltaics - The Case of the German EEG -- 2.1 General Promotion Possibilities of Renewable Electricity Generation -- 2.1.1 Rationale of Promoting Renewables -- 2.1.2 Policy Options -- 2.1.3 Quota Obligations -- 2.1.4 Feed-in Tariffs -- 2.2 Development and Vertices of the EEG's PV Support -- 2.2.1 Development towards the EEG -- 2.2.2 Vertices and Progress of the EEG's FIT Scheme -- 2.2.3 Goal Development -- 2.3 Reasoning behind the EEG's PV FIT scheme -- 2.4 Effects and Induced Costs -- 2.5 Interim Conclusion -- 3 Development of Environmental Assessment Indicators -- 3.1 Criteria and Indicators for the Analysis -- 3.2 Vertices of the conducted LCA Study -- 3.3 Update of Indicator Results -- 3.3.1 Energy Payback Time -- 3.3.2 Carbon Footprint -- 3.3.3 Space Requirements -- 3.4 Sensitivity Analysis -- 3.4.1 Crystalline SiliconWafers -- 3.4.2 Reconsideration of Building Integration -- 3.4.3 Electricity from Renewables at Production Sites -- 3.4.4 Lifetime and Location -- 3.5 Comparative Literature Review -- 4 Environmental Performance of the EEG Feed-in Tariffs for Photovoltaics -- 4.1 Normalization of Indicator Results -- 4.2 Determination of a Base for Comparison -- 4.2.1 Assumptions for the Subsequent Analysis -- 4.2.2 Determination of Reference FITs -- 4.3 Climate Protection and Primary Resource Consumption -- 4.4 Space Requirements -- 5 Discussion of Results -- 5.1 Result Preparation for Decision Making -- 5.2 Effects on the Policy Design -- 5.2.1 FIT Scheme -- 5.2.2 Other Support Policy Options -- 5.2.3 Interaction Policies -- 6 Conclusions and Prospect. EBL201806 SzGeCERN Engineering BOOK Gawel, Erik https://cds.cern.ch/auth.py?r=EBLIB_P_5231228 ebook 201806 n 201823 21 PUBLIC https://catalogue.library.cern/legacy/2622986 BOOK MIGRATED 2622925 SzGeCERN 20200610213334.0 9781138102262 print version 9781351595599 electronic version electronic version oai:cds.cern.ch:2622925 cerncds:BOOK EBL 5090139 eng TK8320.H36 2018 621.381045 Dakin, John P Handbook of optoelectronics applied optical electronics v.3 2nd ed. Milton Chapman and Hall/CRC 2017 465 p ebook Series in optics and optoelectronics ser Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Series Preface -- Preface -- Introduction to the Second Edition -- Editors -- Contributors -- PART I: OPTOELECTRONICS IN INFRASTRUCTURE -- 1 Overview of fiber optic sensing technologies for structural health monitoring -- 2 Distributed acoustic sensing for infrastructure -- 3 Intelligent infrastructure: Automatic number plate recognition for smart cities -- 4 Optoelectronics for control of city transport -- PART II: ON-VEHICLE APPLICATIONS IN TRANSPORT -- 5 Optoelectronics for automobiles, vans, and trucks -- 6 360° camera systems for surveillance and security -- PART III: OPTOELECTRONICS FOR SECURITY AND SURVEILLANCE -- 7 Applications of distributed acoustic sensing for security and surveillance -- PART IV: EARTH RESOURCES AND ENVIRONMENTAL MONITORING -- 8 Overview of earth observation from satellites -- 9 Satellite-based land monitoring -- 10 Optical remote sensing of marine, coastal, and inland waters -- 11 Oceanographic and aquatic: Applications of optic sensing technologies -- 12 Monitoring of volcanic eruptions: An example of the application of optoelectronics instrumentation in atmospheric science -- PART V: MILITARY APPLICATIONS -- 13 Military optoelectronics -- PART VI: INDUSTRIAL APPLICATIONS -- 14 Optical gas-sensing methods for industry -- 15 Laser applications in industry -- 16 Laser and LED systems for industrial metrology and spectroscopy for industrial uses -- 17 3D Printing applications -- 18 Fiber optical sensors for monitoring industrial gas turbines -- 19 Raman gas spectroscopy -- PART VII: OIL, GAS, AND MINERAL EXPLORATION AND REFINING -- 20 Fiber optics in the oil and gas industry -- 21 Oilfield production monitoring with fiber-optic sensors -- 22 Applications of visible to near-infrared spectroscopy for downhole fluid analysis inside oil and gas wellbores. 23 Mid-infrared spectroscopy for future oil, gas, and mineral exploration -- PART VIII: APPLICATIONS IN ENERGY GENERATION AND DISTRIBUTION -- 24 Applications of electricity generation by solar panels -- 25 Advantages of fiber optical sensors for power generation -- PART IX: APPLICATIONS FOR MEDICINE, HEALTH MONITORING, AND BIOTECHNOLOGY -- 26 Medical applications of photonics -- 27 Breath analysis with mid-infrared diagnostics -- 28 Fiber optic manometry catheters for in vivo monitoring of peristalsis in the human gut -- 29 Optical coherence tomography in medicine -- PART X: HOME AND MOBILE PORTABLE EQUIPMENT APPLICATIONS -- 30 Applications for home and mobile portable equipment -- PART XI: FREE SPACE OPTICAL COMMUNICATIONS -- 31 Optical communications through free space -- Index. EBL201806 SzGeCERN Engineering BOOK Brown, Robert G W https://cds.cern.ch/auth.py?r=EBLIB_P_5090139 ebook 201806 n 201823 21 PUBLIC BOOK DELETED 2622924 SzGeCERN 20210421204809.0 9783319634494 print version 9783319634500 electronic version electronic version oai:cds.cern.ch:2622924 cerncds:BOOK EBL 5051148 eng TK5102.9TA1637-1638T 006.45 Virtanen, Tuomas Computational analysis of sound scenes and events Cham Springer 2017 417 p ebook Intro -- Preface -- Contents -- Contributors -- Part I Foundations -- 1 Introduction to Sound Scene and Event Analysis -- 1.1 Motivation -- 1.2 What is Computational Analysis of Sound Scenes and Events? -- 1.3 Related Fields -- 1.4 Scientific and Technical Challenges in Computational Analysis of Sound Scenes and Events -- 1.5 About This Book -- References -- 2 The Machine Learning Approach for Analysis of Sound Scenes and Events -- 2.1 Introduction -- 2.2 Analysis Systems Overview -- 2.3 Data Acquisition -- 2.3.1 Source Audio -- 2.3.2 Reference Annotations -- 2.4 Audio Processing -- 2.4.1 Pre-processing -- 2.4.2 Feature Extraction -- 2.5 Supervised Learning and Recognition -- 2.5.1 Learning -- 2.5.2 Generalization -- 2.5.3 Recognition -- 2.6 An Example Approach Based on Neural Networks -- 2.6.1 Sound Classification -- 2.6.2 Sound Event Detection -- 2.7 Development Process of Audio Analysis Systems -- 2.7.1 Technological Research -- 2.7.2 Product Demonstrations -- 2.7.3 Development Process -- 2.8 Conclusions -- References -- 3 Acoustics and Psychoacoustics of Sound Scenes and Events -- 3.1 Introduction -- 3.2 Acoustic and Psychoacoustic Characteristics of Auditory Scenes and Events -- 3.2.1 Acoustic Characteristics of Sound Scenes and Events -- 3.2.1.1 Periodic and Non-periodic Signals -- 3.2.1.2 Sound Production and Propagation -- 3.2.2 Psychoacoustics of Auditory Scenes and Events -- 3.2.2.1 Models of Peripheral Auditory Processing -- 3.2.2.2 Pitch and Loudness -- 3.2.2.3 The Dimensional Approach to Timbre -- 3.3 The Perception of Auditory Scenes -- 3.3.1 Multidimensional Representation -- 3.3.2 Temporal Coherence -- 3.3.3 Other Effects in Segregation -- 3.4 The Perception of Sound Events -- 3.4.1 Perception of the Properties of Sound Events: Psychomechanics -- 3.4.1.1 Material -- 3.4.1.2 Shape and Size -- 3.4.1.3 Parameters of Actions. 3.4.2 Minimal and Sparse Features for Sound Recognition -- 3.4.2.1 Spectral Regions, Minimal Durations, and Spectro-Temporal Modulations -- 3.4.2.2 Sparse Features -- 3.4.3 Discussion: On the Dimensionality of Auditory Representations -- 3.5 Summary -- References -- Part II Core Methods -- 4 Acoustic Features for Environmental Sound Analysis -- 4.1 Introduction -- 4.2 Signal Representations -- 4.2.1 Signal Acquisition and Preprocessing -- 4.2.2 General Time-Frequency Representations -- 4.2.3 Log-Frequency and Perceptually Motivated Representations -- 4.2.4 Multiscale Representations -- 4.2.5 Discussion -- 4.3 Feature Engineering -- 4.3.1 Temporal Features -- 4.3.2 Spectral Shape Features -- 4.3.3 Cepstral Features -- 4.3.4 Perceptually Motivated Features -- 4.3.5 Spectrogram Image-Based Features -- 4.3.6 Discussion -- 4.4 Feature Learning -- 4.4.1 Deep Learning for Feature Extraction -- 4.4.2 Matrix Factorisation Techniques -- 4.4.3 Discussion -- 4.5 Dimensionality Reduction and Feature Selection -- 4.5.1 Dimensionality Reduction -- 4.5.2 Feature Selection Paradigms -- 4.5.3 Filter Approaches -- 4.5.4 Embedded Feature Selection -- 4.5.4.1 Feature Selection by Sparsity-Inducing Norms -- 4.5.4.2 Multiple Kernel Learning -- 4.5.4.3 Feature Selection in Tree-Based Classifiers -- 4.6 Temporal Integration and Pooling -- 4.6.1 Temporal Integration by Simple Statistics -- 4.6.2 Model-Based Integration -- 4.6.3 Discussion -- 4.7 Relation to Work on Speech and Music Processing -- 4.8 Conclusion and Future Directions -- References -- 5 Statistical Methods for Scene and Event Classification -- 5.1 Introduction -- 5.1.1 Preliminaries -- 5.1.2 Validation and Testing -- 5.2 Discriminative Models -- 5.2.1 Binary Linear Models -- 5.2.1.1 Support Vector Machines -- 5.2.1.2 Logistic Regression -- 5.2.2 Multi-Class Linear Models -- 5.2.3 Non-linear Discriminative Models. 5.3 Generative Models -- 5.3.1 Maximum Likelihood Estimation -- 5.3.2 Bayesian Estimation: Maximum A Posteriori -- 5.3.3 Aside: Fully Bayesian Inference -- 5.3.4 Gaussian Mixture Models -- 5.3.4.1 Classification with GMMs -- 5.3.4.2 Simplifications -- 5.3.4.3 Aside: Maximum Likelihood, or MAP? -- 5.3.4.4 Parameter Estimation -- 5.3.4.5 How Many Components? -- 5.3.5 Hidden Markov Models -- 5.3.5.1 Discriminative HMMs -- 5.3.5.2 Priors and Parameter Estimation -- 5.4 Deep Models -- 5.4.1 Notation -- 5.4.2 Multi-Layer Perceptrons -- 5.4.2.1 Transfer and Objective Functions -- 5.4.2.2 Initialization -- 5.4.2.3 Learning and Optimization -- 5.4.2.4 Discussion: MLP for Audio -- 5.4.3 Convolutional Networks -- 5.4.3.1 One-Dimensional Convolutional Networks -- 5.4.3.2 Two-Dimensional Convolutional Networks -- 5.4.4 Recurrent Networks -- 5.4.4.1 Recursive Networks -- 5.4.4.2 Gated Recurrent Units -- 5.4.4.3 Long Short-Term Memory Networks -- 5.4.4.4 Bi-directional Networks -- 5.4.5 Hybrid Architectures -- 5.4.5.1 Convolutional+Dense -- 5.4.5.2 Convolutional+Recurrent -- 5.5 Improving Model Stability -- 5.5.1 Data Augmentation -- 5.5.2 Domain Adaptation -- 5.5.3 Ensemble Methods -- 5.6 Conclusions and Further Reading -- References -- 6 Datasets and Evaluation -- 6.1 Introduction -- 6.2 Properties of Audio and Labels -- 6.2.1 Audio Content -- 6.2.1.1 Sound Scene Audio Data -- 6.2.1.2 Sound Events Audio Data -- 6.2.2 Textual Labels -- 6.2.2.1 Sound Scene Labels -- 6.2.2.2 Sound Event Labels -- 6.3 Obtaining Reference Annotations -- 6.3.1 Designing Manual Annotation Tasks -- 6.3.1.1 Annotation with Preselected Labels -- 6.3.1.2 Annotation of Presegmented Audio -- 6.3.1.3 Free Segmentation and Labeling -- 6.3.2 Inter-Annotator Agreement and Data Reliability -- 6.4 Datasets for Environmental Sound Classification and Detection -- 6.4.1 Creating New Datasets. 6.4.1.1 Recording New Data -- 6.4.1.2 Collecting a Set of Existing Recordings -- 6.4.1.3 Data Simulation -- 6.4.1.4 Typical Pitfalls in Data Collection -- 6.4.2 Available Datasets -- 6.4.3 Data Augmentation -- 6.5 Evaluation -- 6.5.1 Evaluation Setup -- 6.5.2 Evaluation Measures -- 6.5.2.1 Intermediate Statistics -- 6.5.2.2 Metrics -- 6.6 Advice on Devising Evaluation Protocols -- References -- Part III Advanced Methods -- 7 Everyday Sound Categorization -- 7.1 Introduction -- 7.2 Theories of Categorization -- 7.2.1 Classical Theory of Categorization -- 7.2.2 Holistic Perception -- 7.2.3 Prototype Theory of Categorization -- 7.2.4 Examplar Theory of Categorization -- 7.2.5 Bottom-Up and Top-Down Processes -- 7.3 Research Methods for Sound Categorization -- 7.3.1 Data Collection -- 7.3.1.1 Dissimilarity Estimation -- 7.3.1.2 Sorting Tasks -- 7.3.2 Data Analysis -- 7.3.2.1 Multidimensional Scaling -- 7.3.2.2 Additive-Tree Representations -- 7.3.2.3 Mantel Test -- 7.4 How Do People Categorize Sounds in Everyday Life? -- 7.4.1 Isolated Environmental Sounds -- 7.4.2 Linguistic Labelling of Auditory Categories -- 7.4.3 Factors Influencing Everyday Sound Categorization -- 7.4.4 Complex Auditory Scenes -- 7.4.4.1 Categories of Soundscapes as ``Acts of Meaning'' -- 7.5 Organizing Everyday Sounds -- 7.5.1 Taxonomies of Sound Events -- 7.5.2 Taxonomies of Complex Auditory Scenes -- 7.5.3 Toward a Soundscape Ontology -- 7.5.4 Sound Events -- 7.5.5 Comparison -- 7.6 Conclusion -- References -- 8 Approaches to Complex Sound Scene Analysis -- 8.1 Introduction -- 8.2 Sound Scene Recognition -- 8.2.1 Methods -- 8.2.2 Practical Considerations -- 8.3 Sound Event Detection and Classification -- 8.3.1 Paradigms and Techniques -- 8.3.2 Monophonic Event Detection/Classification -- 8.3.2.1 Detection Workflows -- 8.3.2.2 Modeling Temporal Structure. 8.3.3 Polyphonic Sound Event Detection/Classification -- 8.3.3.1 Multiple Monophonic Detectors -- 8.3.3.2 Joint Approaches -- 8.3.4 Post-Processing -- 8.3.5 Which Comes First: Classification or Detection? -- 8.4 Context and Acoustic Language Models -- 8.4.1 Context-Dependent Sound Event Detection -- 8.4.2 Acoustic Language Models -- 8.5 Event Detection for Scene Analysis -- 8.6 Conclusions and Future Directions -- References -- 9 Multiview Approaches to Event Detection and Scene Analysis -- 9.1 Introduction -- 9.2 Background and Overview -- 9.2.1 Multiview Architectures -- 9.2.2 Visual Features -- 9.3 General Techniques for Multiview Data Analysis -- 9.3.1 Representation and Feature Integration/Fusion -- 9.3.1.1 Feature-Space Transformation -- 9.3.1.2 Multimodal Dictionary Learning -- 9.3.1.3 Co-Factorization Techniques -- 9.3.1.4 Neural Networks and Deep Learning -- 9.3.2 Decision-Level Integration/Fusion -- 9.3.2.1 Probabilistic Combination Rules -- 9.3.2.2 Neural Networks -- 9.3.2.3 Other Methods -- 9.4 Audiovisual Event Detection -- 9.4.1 Motivation -- 9.4.1.1 Examples in Video Content Analysis and Indexing -- 9.4.1.2 Examples in AV Surveillance and Robot Perception -- 9.4.2 AV Event Detection Approaches -- 9.4.2.1 AV Event Detection and Concept Classification -- 9.4.2.2 AV Object Localization and Extraction -- 9.5 Microphone Array-Based Sound Scene Analysis -- 9.5.1 Spatial Cues Modeling -- 9.5.1.1 Binaural Approach -- 9.5.1.2 Beamforming Methods -- 9.5.1.3 Nonstationary Gaussian Model -- 9.5.2 Spatial Cues-Based Sound Scene Analysis -- 9.5.2.1 Sound Source Separation -- 9.5.2.2 Sound Event Detection -- 9.5.2.3 Localization and Tracking of Sound Sources -- 9.6 Conclusion and Outlook -- References -- Part IV Applications -- 10 Sound Sharing and Retrieval -- 10.1 Introduction -- 10.2 Database Creation -- 10.2.1 Licensing, File Formats, and Size. 10.2.2 Metadata. EBL201806 Computing and Computers SzGeCERN BOOK Plumbley, Mark D Ellis, Dan https://cds.cern.ch/auth.py?r=EBLIB_P_5051148 ebook n 201823 201806 21 PUBLIC https://catalogue.library.cern/legacy/2622924 BOOK MIGRATED 2622868 SzGeCERN 20210421204817.0 9783319479699 print version 9783319479712 electronic version electronic version oai:cds.cern.ch:2622868 cerncds:BOOK EBL 4831812 eng QE1-996.5TA703-705.4 531.1133 Castro-Orgaz, Oscar Non-hydrostatic free surface flows Cham Springer 2017 699 p ebook Advances in geophysical and environmental mechanics and mathematics Intro -- Preface -- Acknowledgements -- Contents -- 1 Introduction -- 1.1 Aim and Scope -- 1.2 Hydrostatic and Non-hydrostatic Free Surface Flows -- 1.3 Historical Background -- 1.4 Non-hydrostatic Flows and Environmental Mechanics -- 1.5 Methodology -- References -- 2 Vertically Integrated Non-hydrostatic Free Surface Flow Equations -- 2.1 Introduction -- 2.2 Vertically Integrated Equations in Continuum Mechanical Description -- 2.2.1 Basic Conservation Laws -- 2.2.2 Depth-Integrated Continuity Equation -- 2.2.3 Depth-Integrated Momentum Equations in Horizontal Plane -- 2.2.4 Non-hydrostatic Stresses in z-Direction and Vertical Velocity Profile -- 2.3 Shallow Flow Approximation and Depth-Averaged Equations -- 2.4 Simplified Forms of Non-hydrostatic Extended Flow Equations -- 2.4.1 RANS Model for River Flow -- 2.4.2 One-Dimensional Water Waves Over Horizontal Topography -- 2.4.3 Turbulent Uniform Flow on Steep Terrain -- 2.4.4 Flows Over Curved Beds -- 2.4.5 Enhanced Gravity -- 2.4.6 Non-hydrostatic Model Including Friction Effects -- 2.5 Sediment Transport and Movable Beds -- 2.5.1 Introduction -- 2.5.2 Non-hydrostatic Unsteady Free Surface Flow with Bed-Load Sediment Transport -- 2.6 Numerical Methods for Boussinesq-Type Models -- 2.6.1 Unsteady Flow Simulations -- 2.6.2 Steady Flow Simulations -- 2.7 Higher-Order Equations -- 2.7.1 Fawer-Type Equations -- 2.7.2 Moment Equations -- References -- 3 Inviscid Channel Flows -- 3.1 Introduction -- 3.2 Potential Flow Theory -- 3.2.1 Fundamentals -- 3.2.2 Conservation Laws -- 3.2.3 Flow Net -- 3.3 Picard Iteration -- 3.3.1 General Aspects of Iterative Solutions -- 3.3.2 Second-Order Velocity Field -- 3.3.3 Third-Order Velocity Field -- 3.4 Approximate Treatment of Flow Net Geometry -- 3.4.1 Velocity Profile -- 3.4.2 Extended Equations -- 3.5 Curvilinear Coordinates: Dressler's Theory. 3.5.1 Governing Equations for Potential Flow -- 3.5.2 Picard Iteration in Curvilinear Coordinates -- 3.5.3 Dressler's Theory -- 3.5.4 Second-Order Dressler-Type Model -- 3.6 Critical Flow Conditions in Curved Streamline Flows -- 3.6.1 Critical Irrotational Flows -- 3.6.2 Minimum Specific Energy -- 3.6.3 Maximum Discharge -- 3.7 2D Solution of Irrotational Flows: The x-ψ Method -- 3.7.1 Semi-inverse Mapping -- 3.7.2 Boundary Conditions at Up- and Downstream Sections -- 3.7.3 Free Surface Profile and Energy Head -- 3.7.4 Solution of Laplacian Field -- 3.7.5 Determination of Velocity and Pressure Distributions -- 3.8 Free Overfall -- 3.8.1 Picard Iteration -- 3.8.2 Curvilinear Flow at the Brink Section -- 3.8.3 Moment of Momentum Method -- 3.8.4 Two-Dimensional Solution -- 3.8.5 Flow Net -- 3.9 Transition from Mild to Steep Slopes -- 3.9.1 Picard Iteration -- 3.9.2 Two-Dimensional Solution -- 3.9.3 Flow Net -- 3.10 Flow Over Round-Crested Weirs -- 3.10.1 Picard Iteration -- 3.10.2 Dressler's Theory -- 3.10.3 Two-Dimensional Solution -- 3.10.4 Flow Nets -- 3.11 Sharp-Crested Weir -- 3.11.1 Critical Flow -- 3.11.2 Profile of High Dams -- 3.12 Critical Flow Over Weir Profiles -- 3.12.1 Jaeger's Theory -- 3.12.2 Fawer's Theory -- 3.13 Standard Sluice Gate -- 3.13.1 Free Jet Flow -- 3.13.2 Approach Flow -- 3.13.3 Gate Pressure Distribution -- 3.13.4 Bottom Pressure Distribution -- 3.14 Vorticity Effects -- 3.14.1 Vorticity Equation for Streamline -- 3.14.2 Velocity Profile -- 3.14.3 Free Overfall -- 3.15 Water Waves -- 3.15.1 Irrotational Water Waves -- 3.15.2 Serre-Green-Naghdi Equations -- 3.15.3 Small-Amplitude Waves -- 3.15.4 Cnoidal and Solitary Waves -- 3.15.5 Dam Break Wave -- References -- 4 Seepage Flows -- 4.1 Introduction -- 4.2 Picard Iteration -- 4.2.1 Generalized Water Table Equation -- 4.2.2 Particular Cases -- 4.3 Dupuit-Fawer Equations. 4.3.1 Generalized Water Table Equation -- 4.3.2 Particular Cases -- 4.4 Polubarinova-Kochina's Rectangular Dam Seepage Problem -- 4.4.1 Picard Iteration -- 4.4.2 Validity of the Dupuit-Forchheimer Theory -- 4.4.3 Shallow Flow Approximation -- 4.4.4 Validity of Jaeger's Theory -- 4.4.5 Dupuit-Fawer Equations -- 4.5 Flow Through Trapezoidal Dam -- 4.6 Drainage of Recharge -- 4.6.1 Horizontal Aquifer -- 4.6.2 Sloping Aquifer -- 4.6.3 Curved Aquifer -- 4.7 Flow Over Planar Bedrock with Slope Discontinuity -- 4.8 Bank Storage Problem -- 4.8.1 Picard's Iteration for Anisotropic Porous Media -- 4.8.2 Analytical Solution and Numerical Method -- 4.8.3 Validity of Second-Order Solutions -- References -- 5 Viscous Channel Flows -- 5.1 Introduction -- 5.2 Boundary Layer Approximation -- 5.2.1 Scale Effects of Round-Crested Weir Flow -- 5.2.2 Developing Flow on Steep Slopes -- 5.3 Undular Hydraulic Jump -- 5.3.1 Introduction -- 5.3.2 Depth-Averaged RANS Equations -- 5.3.3 Serre's Theory -- 5.3.4 Boundary Layer Model -- 5.3.5 Simulations: Plane Undular Jump -- 5.3.6 Simulations: Spatial Undular Jump -- 5.4 Undular Weir Flow -- 5.5 Hydraulic Jump -- 5.5.1 Submerged Hydraulic Jump -- 5.5.2 Classical Hydraulic Jump -- 5.6 Boussinesq's Original Theory for Non-hydrostatic Turbulent Open-Channel Flows -- 5.6.1 Introduction -- 5.6.2 Equations of Motion -- 5.6.3 Turbulent Velocity Profile -- 5.6.4 Differential Equation Describing Water Surface Profiles -- 5.6.5 Linearized Equation Valid for Water Depths Close to the Normal Depth -- 5.6.6 Classification of Free Surface Profiles -- 5.6.7 Boussinesq and the Solitary Wave -- 5.7 Spatially Varied Flows -- 5.7.1 Hydrodynamic Equations -- 5.7.2 Side-Weir Flow -- 5.7.3 Bottom Outlet Flow -- 5.7.4 Side-Channel Flows -- 5.7.5 Test Case: Flow Over Bottom Rack -- 5.8 Compound Channel Flows. 5.8.1 Introduction to Gradually Varied Flow -- 5.8.2 Extended Serre Theory -- 5.9 Sand Solitary Wave -- 5.9.1 Existence of Sand Solitary Waves -- 5.9.2 Governing Equations -- 5.9.3 Analytical Solution -- 5.10 Dike Breaches -- 5.10.1 Extended Serre Theory -- 5.10.2 Experimental Investigation -- References -- 6 Granular Flows -- 6.1 Introduction -- 6.2 Mixture Flow Equations -- 6.3 Depth-averaged Equations for Dry Granular Flows -- 6.3.1 1D Savage-Hutter Theory Down an Inclined Plane -- 6.3.2 Effect of Bed-Normal Velocity -- 6.4 Simplified Solutions -- 6.4.1 Pseudo-uniform Flow Conditions -- 6.4.2 Granular Solitary Wave -- 6.4.3 Granular Free Overfall -- 6.5 1D Hutter-Serre Enhanced Equations Down an Inclined Plane -- References -- 7 Concluding Remarks -- References -- Appendix A: Pressure Distribution in Flows Over Curved Bed -- Appendix B: Second Picard Iteration Cycle in Cartesian Coordinates -- Appendix C: Picard Iteration in Curvilinear Coordinates -- Appendix D: Derivation of the Laplace Equation for the x-ψ Transformation -- Appendix E: Plane Open-Channel Flow Using Flow Net-Based Coordinates -- Appendix F: Specific Energy for Flow Over Curved Bottoms -- Appendix G: Viscous Boussinesq-type equations -- Appendix H: Non-hydrostatic Gradually Varied Flow on Steep Slopes -- Appendix I: Derivation of Vertically Integrated Equations for Non-hydrostatic Mixture Flows -- Appendix J: Layer-Integrated Equations for Mixture Flows -- Author Index -- Subject Index. EBL201806 Other Fields of Physics SzGeCERN BOOK HAGER, Willi H https://cds.cern.ch/auth.py?r=EBLIB_P_4831812 ebook n 201823 201806 21 PUBLIC https://catalogue.library.cern/legacy/2622868 BOOK MIGRATED 2622845 SzGeCERN 20200610213334.0 9781482254075 print version 9781482254082 electronic version electronic version oai:cds.cern.ch:2622845 cerncds:BOOK EBL 4745591 eng R857.M3.C54 2017 610.28/4 Esteves, Sandro C Clean room technology in art clinics a practical guide Boca Raton, FL Chapman and Hall/CRC 2016 461 p ebook Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- About the editors -- Contributors -- Section I: The basics -- Chapter 1 What is a clean room? -- Chapter 2 Clean room technology: An overview of clean room classification standards -- Chapter 3 The critical role of air quality: Novel air purification technologies to achieve and maintain the optimal in vitro culture environment for IVF -- Section II: Design and construction -- Chapter 4 Building an environmentally clean and highly productive IVF laboratory suite -- Chapter 5 What is HEPA? How to achieve high efficiency particulate air filtration -- Chapter 6 Volatile organic compounds: Mechanisms of filtration -- Chapter 7 Clean room design principles: Focus on particulates and microbials -- Chapter 8 Modular clean rooms -- Chapter 9 Gases for embryo culture and volatile organic compounds in incubators -- Chapter 10 Air disinfection for ART clinics using ultraviolet germicidal irradiation -- Chapter 11 Photocatalytic degradation of volatile organic compounds -- Section III: Operation and monitoring -- Chapter 12 Clean room technology-General guidelines -- Chapter 13 Just after construction and before the first IVF batch: Things to ponder -- Chapter 14 Personnel practices in an IVF clean room facility -- Chapter 15 Maintaining a clean in vitro fertilization laboratory -- Chapter 16 Clean room certification in assisted reproductive technology clinics -- Chapter 17 Testing and monitoring: Volatile organic compounds and microbials -- Section IV: Quality management in clean room assisted reproductive units -- Chapter 18 Regulatory requirements for air quality control in reproductive laboratories -- Chapter 19 Risk management in clean room assisted reproductive units -- Chapter 20 Troubleshooting aspects in clean room assisted reproductive units. Chapter 21 Role of quality manager in clean room assisted reproductive units and policies for efficient running -- Section V: Clinical outcome and new developments -- Chapter 22 Summary evidence for the effect of laboratory air quality on pregnancy outcome in in vitro fertilization -- Chapter 23 Clean room technology for low resource IVF units -- Chapter 24 Sealed culture systems with time-lapse video monitoring -- Section VI: International experience: Case studies -- Chapter 25 Clean room technology and IVF outcomes: United States -- Chapter 26 Clean room technology and IVF outcomes: Brazil -- Chapter 27 Clean room technology and IVF outcomes: United Kingdom -- Index. EBL201806 Health Physics and Radiation Effects SzGeCERN BOOK Varghese, Alex C Worrilow, Kathryn C https://cds.cern.ch/auth.py?r=EBLIB_P_4745591 ebook n 201823 201806 21 PUBLIC BOOK DELETED 2622827 SzGeCERN 20200503232003.0 9781138671140 print version 9781317207283 electronic version electronic version oai:cds.cern.ch:2622827 cerncds:BOOK EBL 4658725 eng TJ163.2.B597 2017 621.31910721 Blok, Kornelis Introduction to energy analysis 2nd ed. London Routledge 2016 337 p ebook Introduction to Energy Analysis- Front Cover -- Introduction to Energy Analysis -- Title Page -- Copyright Page -- Contents -- Illustration credits -- List of figures -- List of tables -- Preface -- Acknowledgements -- List of abbreviations -- Introduction -- What is energy analysis? -- Energy systems -- What can be expected from this book? -- Chapter 1: Energy and society -- 1.1 A brief history of energy use -- 1.2 Energy and human development -- 1.3 Environmental impacts of energy use -- 1.4 Security of energy supply -- 1.5 Energy and sustainable development -- Further reading -- References -- Final achievement levels -- Exercises -- Chapter 2: What is energy? -- 2.1 Energy in energy systems -- 2.2 Units of energy -- 2.3 Power -- 2.4 What are energy carriers? -- 2.5 The energy content of energy carriers -- 2.6 Higher and lower heating value of fuels -- 2.7 Energy use or energy consumption? -- 2.8 Final energy use -- 2.9 Calculating primary energy use from final energy use -- 2.10 Energy balances and energy statistics -- Further reading -- References -- Final achievement levels -- Exercises -- Chapter 3: Energy services and energy demand -- 3.1 Energy functions/energy services -- 3.2 Energy use in buildings -- 3.3 Energy use in transportation -- Further reading -- References -- Final achievement levels -- Exercises -- Chapter 4: Energy use in industry, analysis and management of energy use -- 4.1 Energy use in the manufacturing industry -- 4.2 Energy analysis of energy users -- 4.3 Energy management -- Further reading -- References -- Final achievement levels -- Exercises -- Chapter 5: Energy extraction and conversion -- 5.1 Non-renewable energy sources -- 5.2 Reserves and resources -- 5.3 Renewable energy sources and conversion -- 5.4 Electricity production: conventional power plants -- 5.5 Combined generation of heat and power. 5.6 Transmission and distribution of electricity and natural gas -- 5.7 Oil refineries -- Further reading -- References -- Final achievement levels -- Exercises -- Chapter 6: Energy markets -- 6.1 Energy demand and price elasticities -- 6.2 Oil markets -- 6.3 Coal markets -- 6.4 Natural gas markets -- 6.5 Bio-energy markets -- 6.6 Electricity markets -- 6.7 Carbon markets -- Further reading -- References -- Final achievement levels -- Exercises -- Chapter 7: Exergy analysis -- 7.1 The second law of thermodynamics -- 7.2 Exergy -- 7.3 Exergy analysis -- 7.4 Pinch analysis -- Further reading -- References -- Final achievement levels -- Exercises -- Chapter 8: Analysis of energy chains -- 8.1 General approach to energy chain analysis -- 8.2 Accuracy of primary energy use -- 8.3 Related concepts and applications of energy chain analysis -- 8.4 Average and marginal approaches in the electricity sector -- 8.5 Allocation in multi-output processes -- 8.6 Emission factors -- Further reading -- References -- Final achievement levels -- Exercises -- Chapter 9: Life-cycle energy analysis -- 9.1 The systematic approach in environmental life-cycle assessment -- 9.2 Process energy analysis -- 9.3 Input-output energy analysis -- 9.4 Hybrid method of process and input-output analysis -- 9.5 Related concepts and applications -- Further reading -- References -- Final achievement levels -- Exercises -- Chapter 10: Energy efficiency -- 10.1 What is energy efficiency? -- 10.2 Energy efficiency improvement -- 10.3 A taxonomy of energy efficiency improvement options -- 10.4 Technical energy efficiency -- 10.5 The energy efficiency index -- 10.6 Monetary energy intensity -- 10.7 The rebound effect -- 10.8 New business models for energy efficiency -- Further reading -- References -- Final achievement levels -- Exercises -- Chapter 11: Economic analysis of energy technologies. 11.1 General approach to the analysis of energy technologies -- 11.2 Technology characterisation -- 11.3 Principles of cost-benefit analysis: the basics -- 11.4 Cost-benefit analysis: the private perspective -- 11.5 Cost-benefit analysis: the social perspective -- 11.6 Scale laws and learning curves -- Further reading -- References -- Final achievement levels -- Exercises -- Chapter 12: Potentials and marginal abatement cost curves -- 12.1 Different types of potentials -- 12.2 What is the reference? -- 12.3 Methods to determine potentials -- 12.4 Techno-economic analysis -- 12.5 Marginal abatement cost curves -- 12.6 Problems with the potential concept and marginal abatement cost curves -- Further reading -- References -- Final achievement levels -- Exercises -- Chapter 13: Volume, structure and energy efficiency -- 13.1 Volume, structure and energy efficiency -- 13.2 Decomposition of volume, structure and energy efficiency -- 13.3 Econometric analysis -- Further reading -- References -- Final achievement levels -- Exercises -- Chapter 14: Energy policies and policy evaluation -- 14.1 Why energy policies? -- 14.2 Policy instruments in the area of energy -- 14.3 Energy policy evaluation -- Further reading -- Final achievement levels -- Exercises -- Chapter 15: Energy models and energy scenarios -- 15.1 The scenario approach -- 15.2 Energy system models -- 15.3 Modelling energy demand -- 15.4 Modelling energy conversion and supply: how models make choices -- 15.5 Partial and general equilibrium modelling -- 15.6 An overview of some models and scenarios -- 15.7 Pitfalls of modelling and scenario construction -- Further reading -- References -- Final achievement levels -- Exercises -- Appendix 1: Unit conversion factors -- Appendix 2: Energy balances - EU28, US and China -- Index. EBL201806 Engineering SzGeCERN BOOK Nieuwlaar, Evert https://cds.cern.ch/auth.py?r=EBLIB_P_4658725 ebook n 201823 201806 21 PUBLIC BOOK DELETED 2622794 SzGeCERN 20210421204823.0 9781493920914 print version 9781493920921 electronic version electronic version oai:cds.cern.ch:2622794 cerncds:BOOK EBL 2094086 eng QA76.9.D3TK1-9971QA7 004 Khan, Samee Ullah Handbook on data centers New York, NY Springer 2015 1309 p ebook Intro -- Preface -- Contents -- Part I Energy Efficiency -- Energy-Efficient and High-Performance Processing of Large-Scale Parallel Applications in Data Centers -- 1 Introduction -- 1.1 Motivation -- 1.2 Our Contributions -- 2 Related Work -- 3 Preliminaries -- 3.1 Power and Task Models -- 3.2 Problems -- 3.3 Lower Bounds -- 4 Heuristic Algorithms -- 4.1 Precedence Constraining -- 4.2 System Partitioning -- 4.3 Task Scheduling -- 5 Optimal Energy/Time/Power Allocation -- 5.1 Minimizing Schedule Length -- 5.1.1 Level 1 -- 5.1.2 Level 2 -- 5.1.3 Level 3 -- 5.1.4 Level 4 -- 5.2 Minimizing Energy Consumption -- 5.2.1 Level 1 -- 5.2.2 Level 2 -- 5.2.3 Level 3 -- 5.2.4 Level 4 -- 6 Simulation Data -- 7 Summary and Future Research -- References -- Energy-Aware Algorithms for Task Graph Scheduling, Replica Placement and Checkpoint Strategies -- 1 Introduction -- 2 Energy Models -- 2.1 Literature Survey -- 2.1.1 DVFS and Optimization Problems -- 2.1.2 Energy Models -- 2.2 Example -- 3 Minimizing the Energy of a Schedule -- 3.1 Optimization Problem -- 3.2 The CONTINUOUS Model -- 3.2.1 Special Execution Graphs -- 3.2.2 General DAGs -- 3.3 Discrete Models -- 3.3.1 The VDD-HOPPING Model -- 3.3.2 NP-Completeness and Approximation Results -- 3.4 Final Remarks -- 4 Replica Placement -- 4.1 Framework -- 4.1.1 Replica Servers -- 4.1.2 With Power Consumption -- 4.1.3 Objective Functions -- 4.1.4 Summary of Results -- 4.2 Complexity Results: Update Strategies -- 4.2.1 Running Example -- 4.2.2 Dynamic Programming Algorithm -- 4.3 Complexity Results with Power -- 4.3.1 Running Example -- 4.3.2 NP-Completeness of MINPOWER -- 4.3.3 A Pseudo-polynomial Algorithm for MINPOWER-BOUNDEDCOST -- 4.4 Simulations -- 4.4.1 Impact of Pre-existing Servers -- 4.4.2 With Power Consumption -- 4.4.3 Running Time of the Algorithms -- 4.5 Concluding Remarks -- 5 Checkpointing Strategies. 5.1 Framework -- 5.1.1 Model -- 5.1.2 Optimization Problems -- 5.2 With a Single Chunk -- 5.2.1 SINGLESPEED Model -- 5.2.2 MULTIPLESPEEDS Model -- 5.3 Several Chunks -- 5.3.1 Single Speed Model -- 5.3.2 Multiple Speeds Model -- 5.4 Simulations -- 5.4.1 Simulation Settings -- 5.4.2 Comparison with Single Speed -- 5.4.3 Comparison Between EXPECTED-DEADLINE and Hard-Deadline -- 5.5 Concluding Remarks -- 6 Conclusion -- References -- Energy Efficiency in HPC Data Centers: Latest Advances to Build the Path to Exascale -- 1 Introduction -- 2 Computing Systems Architectures -- 2.1 Architecture of the Current HPC Facilities -- 2.2 Overview of the Main HPC Components -- 2.3 HPC Performance and Energy Efficiency Evaluation -- 3 Energy-Efficiency in HPC Data-Center: Overview & Challenges -- 3.1 The Exascale Challenge -- 3.2 Hardware Approaches Using Low-Power processors -- 3.3 Energy Efficiency of Virtualization Frameworks over HPC Workloads -- 3.4 Energy Efficiency in Resource and Job Management Systems (RJMSs) -- 4 Conclusion: Open Challenges -- References -- Techniques to Achieve Energy Proportionality in Data Centers: A Survey -- 1 Introduction -- 2 Energy Proportionality -- 2.1 Energy Proportionality at the Server Level -- 2.2 Energy Proportionality at Data Center Level -- 2.3 Overview on Power Proportionality Techniques at Different Data Center Levels -- 3 Energy Proportionality at Component Level -- 3.1 Energy Proportionality at the CPU -- 3.2 Energy Proportionality at the Memory -- 3.3 Energy Proportionality at the Disk -- 3.4 Energy Proportionality at the Networking Interface -- 4 Power Management Techniques at Server Level -- 5 Data Center/Cluster Level Power Management -- 5.1 Server Provisioning in Internet Data Centers (IDCs) -- 5.2 Virtual Machine Management -- 5.3 Other Data Center Level Power Management Techniques. 6 Energy Cost Minimization Through Workload Distribution Across Data Centers -- 7 Data Center Simulation Tools -- 8 Performance of Server and Data Center Level Power Management Techniques -- 9 Conclusions -- References -- A Power-Aware Autonomic Approach for Performance Management of Scientific Applications in a Data Center Environment -- 1 Introduction -- 2 Background -- 3 An Online Look-Ahead Control-based Management Approach -- 4 Case Study: Performance Management of a Parallel Loop Execution Environment -- 5 Benefits of the Proposed Approach -- 6 Combining DLS Techniques with the Proposed Approach -- 7 Conclusion -- References -- CoolEmAll: Models and Tools for Planning and Operating Energy Efficient Data Centres -- 1 Introduction -- 1.1 The CoolEmAll Project -- 1.2 RelatedWork -- 2 Simulation, Visualisation and Decision Support Toolkit -- 2.1 Architecture -- 2.2 Application Profiler -- 2.3 Data Center Workload and Resource Management Simulator -- 2.3.1 Architecture -- 2.3.2 Workload Modelling -- 2.3.3 Resource Description -- 2.3.4 Simulation of Energy Efficiency -- 2.3.5 Application Performance Modelling -- 2.4 Interactive Computational Fluid Dynamics Simulation -- 2.5 Visualization -- 3 Data centre Efficiency Building Blocks -- 3.1 DEBB Concept and Structure -- 3.2 Hardware Models for Workload Simulation -- 3.2.1 Hardware Modelling in DCworms Workload Simulator -- 3.2.2 Hardware Power Profiles -- 3.2.3 Electrical Model of the Power Supply Unit 2.0 -- 3.3 Hardware Models for Thermodynamic Profiles and Cooling Equipment -- 3.4 Hardware Models for CFD Simulation -- 3.5 Assessment of DEBBs -- 4 Energy Efficiency Metrics -- 4.1 State of the Art -- 4.2 Selected Metrics for CoolEmAll -- 4.2.1 Resource Usage Metrics -- 4.2.2 Energy Based Metrics -- 4.2.3 Heat-Aware Metrics -- 4.3 Application Power Model -- 5 Validation of the CoolEmAll Approach. 5.1 Validation Approach -- 5.1.1 Capacity Management -- 5.1.2 Optimisation of Rack Arrangement in a Compute Room Using Open Data Centre Building Blocks -- 5.1.3 Analysis of Free Cooling Efficiency for Various Inlet Temperatures -- 5.2 Testbed -- 5.3 Analysis and Optimization of Data Centre Efficiency -- 5.3.1 Capacity Management -- 5.3.2 Analysing Cooling Efficiency in Compute-room -- 6 Business Impact -- 7 Summary -- References -- Smart Data Center -- 1 Introduction -- 2 System Model -- 2.1 Long Term Power Purchase -- 2.2 Real Time Power Purchase -- 3 Constraints -- 3.1 Purchasing Accuracy and Cost -- 3.2 Data Center Availability -- 3.3 UPS Lifetime -- 4 Cost Minimization -- 5 Algorithm Design -- 5.1 Drift Plus Penalty Upper Bound -- 5.2 Relaxed Optimization -- 5.3 Two Timescale Smart Data Center Algorithm -- 6 Performance Analysis -- 7 Related Work -- 8 Conclusions -- References -- Power and Thermal Efficient Numerical Processing -- 1 Introduction -- 2 Floating-Point Representation -- 2.1 Formats -- 2.2 Rounding Modes -- 2.3 Operations -- 2.4 Exceptions -- 3 Floating-Point Addition -- 4 Floating-Point Multiplication -- 5 Floating-Point Fused Multiply-Add -- 6 Floating-Point Division -- 6.1 Division by Digit Recurrence -- 6.1.1 Radix-4 Division Algorithm -- 6.1.2 Intel Penryn Division Unit -- 6.1.3 Radix-16 by Overlapping Two Radix-4 Stages -- 6.2 Division by Multiplication -- 7 Energy dissipation in FP-units -- 7.1 Energy Metrics -- 7.2 Implementation of the FP-Units -- 7.3 Energy Consumption in Floating-Point Workloads -- 7.4 Thermal Analysis -- 8 Conclusions and Outlook on FP-Units -- References -- Providing Green Services in HPC Data Centers: A Methodology Based on Energy Estimation -- 1 Introduction -- 2 Identifying Operations in a Service -- 2.1 Fault Tolerance Case -- 2.2 Data Broadcasting Case -- 2.3 Associated Parameters. 3 Energy Calibration Methodology -- 3.1 Calibration of the Power Consumption op -- 3.2 Calibration of the Execution Time top -- 3.2.1 Fault Tolerance Case -- 3.2.2 Data Broadcasting Case -- 4 Energy Estimation Methodology -- 4.1 Fault Tolerance Case -- 4.1.1 Checkpointing -- 4.1.2 Message Logging -- 4.1.3 Coordination -- 4.2 Data Broadcasting Case -- 4.2.1 MPI/SAG and Hybrid/SAG -- 4.2.2 MPI/Pipeline and Hybrid/Pipeline -- 5 Validation of the Estimations -- 5.1 Calibration Results of the Platform -- 5.1.1 Calibrating the Power Consumption -- 5.1.2 Calibration of the Execution Time -- 5.2 Accuracy of the Estimations -- 5.2.1 Fault Tolerance Case -- 5.2.2 Data Broadcasting Case -- 6 Energy-Aware Choice of Services for HPC applications -- 6.1 Fault Tolerance Protocols -- 6.2 Data Broadcasting Algorithms -- 7 Conclusion -- References -- Part II Networking -- Network Virtualization in Data Centers: A Data Plane Perspective -- 1 Introduction -- 1.1 Network Link Virtualization -- 1.2 Network Node Virtualization -- 1.3 Organization -- 2 Flexible Flow Matching for Network Link Virtualization -- 2.1 Background -- 2.2 Existing Solutions -- 2.3 Algorithmic Solution for Efficient Flexible Flow Matching -- 2.3.1 Motivations -- 2.3.2 Algorithms -- 2.3.3 Architecture -- 2.4 Performance Evaluation -- 2.4.1 Experimental Setup -- 2.4.2 Algorithm Evaluation -- 2.4.3 Hardware Implementation -- 3 Resource Consolidation in Network Node Virtualization -- 3.1 Background -- 3.2 Existing Solutions -- 3.3 Efficient Algorithm for Resource Consolidation -- 3.3.1 Motivations -- 3.3.2 Trie Merging -- 3.3.3 Lookup Process -- 3.3.4 Traffic Isolation -- 3.4 Analysis and Evaluation -- 3.4.1 Theoretical Comparison -- 3.4.2 Experimental Setup -- 3.4.3 Scalability -- 3.4.4 Execution Time -- 4 Summary and Discussion -- References. Optical Data Center Networks: Architecture, Performance, and Energy Efficiency. This handbook offers a comprehensive review of the state-of-the-art research achievements in the field of data centers. Contributions from international, leading researchers and scholars offer topics in cloud computing, virtualization in data centers, energy efficient data centers, and next generation data center architecture.  It also comprises current research trends in emerging areas, such as data security, data protection management, and network resource management in data centers. Specific attention is devoted to industry needs associated with the challenges faced by data centers, such as various power, cooling, floor space, and associated environmental health and safety issues, while still working to support growth without disrupting quality of service. The contributions cut across various IT data technology domains as a single source to discuss the interdependencies that need to be supported to enable a virtualized, next-generation, energy efficient, economical, and environmentally friendly data center. This book appeals to a broad spectrum of readers, including server, storage, networking, database, and applications analysts, administrators, and architects. It is intended for those seeking to gain a stronger grasp on data center networks: the fundamental protocol used by the applications and the network, the typical network technologies, and their design aspects. The Handbook of Data Centers is a leading reference on design and implementation for planning, implementing, and operating data center networks. EBL201806 Computing and Computers SzGeCERN EBL Cloud computing -- Handbooks, manuals, etc EBL Data processing service centers -- Management -- Handbooks, manuals, etc EBL Database management -- Handbooks, manuals, etc BOOK Zomaya, Albert Y https://cds.cern.ch/auth.py?r=EBLIB_P_2094086 ebook n 201823 201806 21 PUBLIC https://catalogue.library.cern/legacy/2622794 BOOK MIGRATED 2622783 SzGeCERN 20180716233701.0 9784431549048 (electronic bk.) electronic version 9784431549031 electronic version EBL 1966191 eng QE1-996.5GB3-5030QE5 530.475 Shikazono, Naotatsu Environmental and resources geochemistry of earth system mass transfer mechanism, geochemical cycle and the influence of human activity Tokyo Springer 2015 257 p Intro -- Foreword -- Preface -- Contents -- Introduction -- Cited Literature -- Further Reading -- Symbols and Variables Used in This Text -- Chapter 1: Chemical Equilibrium -- 1.1 Chemical Equilibrium Model -- 1.2 Thermochemical Stability of Solid Phase in Solid-Aqueous Solution System -- 1.3 Solubility of Minerals -- 1.3.1 Oxides and Hydroxides -- 1.3.2 Silicates -- 1.3.3 Carbonates -- 1.3.3.1 Solubility of Calcite at Constant (Partial Pressure of CO2) -- 1.3.3.2 Solubility of Calcite in Closed System -- 1.4 Chemical Weathering and Silicate and Aluminosilicate Mineralogy -- 1.5 Analysis of Multi-Component-Multi-Phase Heterogeneous System -- 1.6 Interpretation of Chemical Compositions of Geothermal Water in Terms of Chemical Equilibrium Model -- 1.7 Hydrothermal Alteration -- 1.8 Interpretation of Chemical Composition of Ground Water in Terms of Inverse Mass Balance Model -- 1.9 Oxidation-Reduction Condition -- 1.9.1 Oxygen Fugacity ()-pH Diagram -- 1.9.2 H-S-O System -- 1.9.3 Fe-S-O-H System -- 1.9.4 Estimate of Oxygen Fugacity () for Hydrothermal Ore Deposits -- 1.9.5 Sulfides -- 1.10 Partitioning of Elements Between Aqueous Solution and Crystal -- 1.10.1 Partitioning of Element Between Aqueous Solution and Solid Solution Mineral -- 1.10.2 Rayleigh Fractionation -- Cited Literature -- Further Reading -- Chapter 2: Partial Chemical Equilibrium -- 2.1 Water-Rock Interaction -- 2.2 Hydrothermal Alteration Process in Active and Fossil Geothermal Areas -- 2.3 Oxygen Isotopic Variations During Water-Rock Reaction, Mixing and Boiling of Fluids -- 2.4 Formation of Minerals Accompanied by Separation of Vapor Phase and Liquid Phase and Boiling -- 2.4.1 One Step Boiling -- 2.4.2 Multi-Step Boiling -- 2.5 Precipitation of Minerals Due to Mixing of Fluids -- 2.6 Formation of Hydrothermal Ore Deposits by Hydrothermal Solution-Seawater Mixing. 2.6.1 Mid-Oceanic Ridge Deposits -- 2.6.2 Kuroko Deposits -- 2.7 Formation of Gold Deposits by Mixing of Hydrothermal Solution and Acid Ground Water -- Cited Literature -- Further Reading -- Chapter 3: Mass Transfer Mechanism -- 3.1 Dissolution-Precipitation Kinetics -- 3.1.1 Dissolution Mechanism -- 3.1.2 Precipitation Mechanism -- 3.1.3 Metastable Phase -- 3.2 Diffusion -- 3.2.1 Fick´s Law -- 3.2.2 Diffusion in Pore in Rocks and Minerals -- 3.3 Advection -- 3.3.1 Darcy´s Law -- 3.3.2 Three Dimensional Fluid Flow -- 3.4 Coupled Models -- 3.4.1 Reaction-Fluid Flow Model -- 3.4.1.1 Perfectly Mixing Fluid Flow-Reaction Model -- 3.4.1.2 Piston Flow-Reaction Model -- 3.4.1.3 Non-steady State Perfectly Mixing Fluid Flow-Reaction Model -- 3.4.1.4 Non-steady State Piston Flow-Reaction Model -- 3.4.2 Reaction-Diffusion Model -- 3.4.3 Diffusion-Flow Model -- 3.4.4 Temperature-Dependent Model -- Cited Literature -- Further Reading -- Chapter 4: System Analysis -- 4.1 Hydrothermal System -- 4.1.1 Recharge Zone -- 4.1.2 Reservoir -- 4.1.3 Discharge Zone -- 4.1.4 Formation of Chimney and Sea-Floor Hydrothermal Ore Deposits and Precipitation Kinetics-Fluid Flow Model -- 4.1.5 Precipitation-Dispersion Model -- 4.1.6 Diffusion-Fluid Flow Model -- 4.1.7 Dissolution-Recrystallization Model -- 4.1.8 Formation of Metastable Phase -- 4.2 Seawater System -- 4.2.1 Chemical Equilibrium and Steady State -- 4.2.2 Chemical Equilibrium Model -- 4.2.3 Ion Exchange Equilibrium -- 4.2.4 Factors Controlling Chemical Composition of Seawater (Input and Output Fluxes) -- 4.2.4.1 River Water -- 4.2.4.2 Formation of Minerals -- 4.2.4.3 Formation of Evaporite -- 4.2.4.4 Biological Activity -- 4.2.4.5 Interstitial Water -- 4.2.4.6 Low Temperature Seepage -- 4.2.4.7 Weathering of Oceanic Crust -- 4.2.4.8 Hydrothermal Solution -- Cited Literature -- Further Reading. Chapter 5: Geochemical Cycle -- 5.1 General Equation -- 5.2 Carbon Cycle -- 5.2.1 Short-Term Cycle (Biogeochemical Cycle) -- 5.2.2 Long-Term Cycle (Geochemical Cycle) -- 5.3 Sulfur Cycle -- 5.3.1 Short-Term Cycle -- 5.3.2 Long-Term Cycle -- 5.4 Coupled Geochemical Cycle: Sulfur-Carbon-Oxygen (S-C-O) Cycle -- 5.5 Global Geochemical Cycle-Mass Transfer Between Earth´s Surface System and Interior System -- 5.5.1 Global Carbon Cycle -- 5.5.2 Global Sulfur (S) Cycle -- 5.6 Geochemical Cycle of Minor Elements -- 5.6.1 Arsenic (As) -- 5.6.2 Boron (B) -- 5.6.3 Barium (Ba) -- 5.6.4 Other Ore Constituent Elements -- Cited Literature -- Further Reading -- Chapter 6: Interaction Between Nature and Humans -- 6.1 Flux to the Atmosphere Due to Human Activity -- 6.1.1 Carbon Dioxide (CO2) -- 6.1.2 Sulfur (S) -- 6.1.3 Phosphorus (P) -- 6.1.4 Minor Elements -- 6.1.5 Geochemical Cycles of Pb, Cd and Hg Have Been Well Investigated Because of Their High Toxicity -- 6.2 Anthropogenic Fluxes to the Hydrosphere and Soils and Mass Transfer Mechanism -- 6.2.1 Acid Rain-Soil-Ground Water System -- 6.2.1.1 Rainwater-Atmosphere Reaction -- 6.2.1.2 Rainwater-Soil Reaction -- 6.2.1.3 Base Metal Concentrations in Ground Water -- 6.2.2 Pollution of River Water -- 6.2.3 Pollution of Lake Water -- 6.2.3.1 pH of Lake Water -- 6.2.3.2 Perfectly Mixing Non-Steady State Model -- 6.2.3.3 One Dimensional Vertical Model -- 6.2.4 Pollution in Ocean -- 6.3 Feedback Associated with Human Waste Emissions -- 6.3.1 Geological Disposal of High Level Nuclear Waste -- 6.3.1.1 Ground Water Scenario -- 6.3.1.2 Natural Analogue Studies -- 6.3.2 Underground CO2 Sequestration -- Cited Literature -- Further Reading -- Afterwords -- Kinetics -- Environmental Geochemistry, Geochemistry -- Economic Geology -- Groundwater Geochemistry -- Earth and Planetary System Science and the Global Geochemical Cycle. Earth´s Environment and Resources -- Hydrosphere -- Biosphere and Soils -- Appendix (Plate) -- Index. The Earth system consists of subsystems that include the atmosphere, hydrosphere (water), geosphere (rocks, minerals), biosphere, and humans. In order to understand these subsystems and their interactions, it is essential to clarify the mass transfer mechanism, geochemical cycle, and influence of human activity on the natural environment. This book presents fundamental theories (thermodynamics, kinetics, mass balance model, coupling models such as the kinetics-fluid flow model, the box model, and others) concerning mechanisms in weathering, formation of hydrothermal ore deposits, hydrothermal alteration, formation of groundwater quality, and the seawater system. The interaction between fluids (atmosphere, water) and solid phases (rocks, minerals) occurs both in low-temperature and also in high-temperature systems. This book considers the complex low-temperature cycle with the high-temperature cycle, a combination that has not been dealt with in previous books concerning Earth systems. Humanity is a small part of the biosphere; however, human activities greatly influence Earth's surface environments (atmosphere, hydrosphere, biosphere, soils, rocks). Thus, the influences of humans on other subsystems, particularly mass transfer in the deep underground geologic environment composed of host rocks and groundwater, are discussed in relation to high-level nuclear waste geologic disposal and CO2 underground sequestration-topics that have not been included in other books on environmental science. 9784431549031 print version oai:cds.cern.ch:2622783 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1966191 ebook ebook EBL Environmental geochemistry EBL201806 Other Fields of Physics SzGeCERN BOOK n 201823 201806 21 PUBLIC BOOK DELETED 2622778 SzGeCERN 20200503231958.0 9780415842808 print version 9781135017187 electronic version electronic version oai:cds.cern.ch:2622778 cerncds:BOOK EBL 1818146 eng TK7881.4 .M693 2014 621.389/32 Moylan, William Understanding and crafting the mix the art of recording 3rd ed. Oxford Taylor & Francis Group 2014 519 p ebook Cover -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of Figures -- List of Tables -- List of Exercises to Develop Listening, Evaluation, and Production Skills -- Foreword -- Preface -- Acknowledgments -- Introduction -- Overview of Organization and Materials -- Comaprison Website -- Establishing an Accurate Playback of Recordings -- Summary -- Part One Defining the Art of Recording: The Sound Characteristics and the Aesthetic Qualities of Audio Recordings -- Chapter 1 The Elements of Sound and Audio Recording -- The States of Sound -- Physical Dimensions of Sound -- Perceived Parameters of Sound -- Summary -- Chapter 2 The Aesthetic and Artistic Elements of Sound in Audio Recordings -- The States of Sound and the Aesthetic/Artistic Elements -- Pitch Levels and Relationships -- Dynamic Levels and Relationships -- Rhythmic Patterns and Rates of Activities -- Sound Sources and Sound Quality -- Spatial Properties: Stereo and Surround Sound -- Conclusion -- Chapter 3 The Musical Message and the Listener -- The Musical Message -- Musical Form and Structure -- Musical Materials -- The Relationships of Artistic Elements and Musical Materials -- Equivalence and the Expression of Musical Ideas -- Text as Song Lyrics -- The Listener -- Conclusion -- Part Two Learning to Listen, Beginning to Hear: Acquiring Fundamental Listening Skills and Establishing an Effective Approach to Listening -- Chapter 4 Listening and Evaluating Sound for the Aspiring Audio Professional -- Why Audio Professionals Need to Evaluate Sound -- Talking About Sound -- The Listening Process -- Personal Development for Listening and Sound Evaluation -- Summary -- Chapter 5 Fundamental Listening Skills -- Introduction -- Background Knowledge and Preparation -- Self-Discovery and Realization: "What is Sound to You?". Beginning to Hear the Relationships and Qualities of the Mix -- Hearing Subtle Qualities -- Conclusion -- Exercises -- Chapter 6 A System for Evaluating Sound -- System Overview -- Sound-Evaluation Sequence -- Graphing the States and Activity of Sound Components -- Plotting Sources against a Timeline -- Summary -- Exercise -- Part Three Understanding the Mix: Developing Listening and Sound-Evaluation Skills -- Chapter 7 Evaluating Pitch in Audio and Music Recordings -- Analytical Systems -- Melodic Contour -- Pitch-Area and Frequency-Band Recognition -- Exercises -- Chapter 8 Evaluating Loudness in Audio and Music Recordings -- Reference Levels and the Hierarchy of Dynamics -- Program Dynamic Contour -- Musical Balance -- Performance Intensity versus Musical Balance -- Exercises -- Chapter 9 Evaluating Sound Quality -- Sound Quality in Critical-Listening Contexts -- Sound Quality in Analytical-Listening Contexts -- Sound Quality and Perspective -- Evaluating the Characteristics of Sound Quality and Timbre -- Summary -- Exercises -- Chapter 10 Evaluating the Spatial Elements of Two-Channel Sound -- Understanding Space as an Artistic Element -- Stereo-Sound Location -- Distance Location -- Environmental Characteristics -- Space Within Space -- Exercises -- Chapter 11 Evaluating the Spatial Elements of Surround Sound -- Format Considerations -- Surround's Sound Stage and the Listener -- Sound Location and Imaging -- Evaluating Location in Surround Sound -- Distance Location -- Sound Sources and their Environments -- Exercises -- Chapter 12 Complete Evaluations and Understanding Observations -- Pitch Density and Timbral Balance -- The Overall Texture -- Relationships of the Individual Sound Sources and the Overall Texture -- The Complete Evaluation -- Using Graphs for Making Evaluations and in Production Work -- Summary -- Exercises. Part Four Crafting the Mix: Shaping Music and Sound, and Controlling the Recording Process -- Chapter 13 The Roles of the Recordist and the Aesthetics of Recording Production -- The Functional Roles of the Recordist -- The Artistic Roles of the Recordist -- The Recording and Reality: Shaping the Recording Aesthetic -- The Recording Aesthetic in Relation to the Performance Event -- Altered Realities of Music Performance -- Summary -- Chapter 14 The Sounds of Recordings: Shaping Musical Ideas and Musical Expression -- The Artistic Elements of Sound as Musical Materials -- Sound Qualities -- Timbral Balance and the Mix -- Sound Stage -- Environments -- Noises, Distortions, and Unwanted Sounds -- Musical Balance -- Chapter 15 Preproduction and Preliminary Stages: Embracing Reality and Defining the Materials of the Project -- Sound Sources as Artistic Resources, and the Choice of Timbres -- Microphones: The Aesthetic Decisions of Capturing Timbres -- Equipment Selection: Application of Inherent Sound Quality -- Monitoring: The Sound Quality of Playback -- Summary -- Exercises -- Chapter 16 Recording and Tracking: Capturing and Shaping the Performance -- Approaching the Recording: Tracking and Recording Sessions -- In Session: Shifting Focus and Perspective -- An Overview of Two Production Sequences -- Editing: Rearranging and Suspending Time -- Signal Processing: Refining Sounds and Music -- Preparing for the Mix -- Exercises -- Chapter 17 Crafting the Mix, and Finalizing the Production -- Mixing to Support the Music and the Text -- The Mix: Composing and Performing the Recording -- Mastering: The Final Artistic Decisions -- The Listener's Alterations to the Recording -- Concluding Remarks -- Exercises -- Glossary -- Bibliography -- Discography -- Index. Understanding and Crafting the Mix, 3rd edition provides the framework to identify, evaluate, and shape your recordings with clear and systematic methods. Featuring numerous exercises, this third edition allows you to develop critical listening and analytical skills to gain greater control over the quality of your recordings.　Sample production sequences and descriptions of the recording engineer's role as composer, conductor, and performer provide you with a clear view of the entire recording process. Dr. William Moylan takes an inside look into a range of iconic popular music, thus offering insights into making meaningful sound judgments during recording. His unique focus on the aesthetic of recording and mixing will allow you to immediately and artfully apply his expertise while at the mixing desk. A companion website features recorded tracks to use in exercises, reference materials, additional examples of mixes and sound qualities, and mixed tracks. EBL201806 Engineering SzGeCERN EBL Acoustical engineering EBL Music -- Editing EBL Music theory BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1818146 ebook n 201823 201806 21 PUBLIC BOOK DELETED 2622775 SzGeCERN 20191106223625.0 9783662436271 print version 9783662436288 electronic version electronic version oai:cds.cern.ch:2622775 cerncds:BOOK EBL 1802516 eng TP155-156QH345QD415- 541.3482 Chemat, Farid Alternative solvents for natural products extraction Berlin Springer 2014 323 p ebook Green chemistry and sustainable technology ser Intro -- Preface -- Contents -- Editors and Contributors -- Editors -- Contributors -- 1 In Silico Search for Alternative Green Solvents -- 1.1 Tools for Solvent Selection -- 1.1.1 Solvents Descriptors and Classifications -- 1.1.2 Hansen Approach -- 1.1.3 COSMO-RS Approach -- 1.2 Panorama of Current "Green Solvents" -- 1.2.1 Classes of "Green Solvents" -- 1.2.2 Positioning of Alternative Solvents -- 1.3 Selection of Alternative Solvents for Extraction -- 1.3.1 Replacement of Chlorinated Solvents -- 1.3.2 Replacement of n-Hexane -- 1.3.2.1 Positioning of n-Hexane in the COSMO-RS Panorama -- 1.3.2.2 Combined Hansen and COSMO-RS Approaches for the Substitution of n-Hexane -- 1.4 Design of New Solvents with Tailored Properties -- 1.4.1 Lack of Structures with Specific Properties -- 1.4.2 Automatic Generation of New Solvent Structures -- 1.5 Conclusion -- References -- 2 Solvent-Free Extraction: Myth or Reality? -- 2.1 Introduction -- 2.2 Solvent-Free Microwave-Assisted Extraction -- 2.2.1 Principle -- 2.2.2 Instrumentation -- 2.2.3 Application -- 2.3 Instant Controlled Pressure Drop Process (DIC, "Détente Instantanée Contrôlée") -- 2.3.1 Principle -- 2.3.2 Instrumentation -- 2.3.2.1 Applications -- 2.4 Pulsed Electric Field (PEF) -- 2.4.1 Principle -- 2.4.2 Instrumentation -- 2.4.3 Applications -- References -- 3 Supercritical Fluid Extraction: A Global Perspective of the Fundamental Concepts of this Eco-Friendly Extraction Technique -- 3.1 The Supercritical Fluid Extraction Technique -- 3.2 The Supercritical Fluid -- 3.3 The Solid Matrix -- 3.3.1 Raw Material Pretreatment -- 3.4 The Definition of the Pseudoternary System -- 3.5 Thermodynamic Aspects -- 3.5.1 Equilibrium Solubility (Y*) -- 3.5.2 Global Yield Isotherms (GYI) -- 3.6 Mass Transfer Aspects -- 3.6.1 The Mass Balance Equations in the Fixed Bed Extractor. 3.6.2 The Overall Extraction Curve (OEC) -- 3.7 Mathematical Modeling -- 3.7.1 The Spline Model -- 3.8 Scale-Up -- 3.9 Economic Analysis -- References -- 4 Subcritical Water as a Green Solvent for Plant Extraction -- 4.1 Introduction -- 4.2 Properties of Subcritical Water -- 4.2.1 Temperature -- 4.2.2 Pressure -- 4.2.3 Extraction Kinetics -- 4.3 Applications -- 4.3.1 Essential Oil -- 4.3.2 Phenolic Compounds -- 4.3.3 Carotenoids -- 4.3.4 Pesticides and PAHs in Food -- 4.3.5 Subcritical Water Chromatography (SWC) -- 4.3.6 Microwave Subcritical Water Extraction -- 4.4 Conclusions -- References -- 5 Liquefied Dimethyl Ether: An Energy-Saving, Green Extraction Solvent -- 5.1 Introduction -- 5.2 Basic Principles -- 5.2.1 Properties of DME -- 5.2.2 Theoretical Principles of DME Extraction -- 5.3 Experimental -- 5.3.1 Laboratory-Scale DME Extraction Apparatus -- 5.3.2 Bench-Scale DME Extraction Equipment -- 5.4 Results and Discussion -- 5.4.1 Extraction and Dewatering of Vegetal Biomass -- 5.4.2 Extraction of Bio-oils from Microalgae -- 5.4.3 Other Recent Studies Involving DME -- 5.4.4 Properties of Extracted Components and Dewatered Bio-solids -- 5.4.5 Future Possible Applications of DME Extraction -- 5.5 Conclusions and Future Applications -- References -- 6 Ethyl Lactate Main Properties, Production Processes, and Applications -- 6.1 Introduction -- 6.2 Ethyl Lactate Properties -- 6.3 Production Processes -- 6.3.1 Raw Materials -- 6.3.2 Synthesis -- 6.3.3 Ethyl Lactate Production by Multifunctional Reactors -- 6.3.3.1 Membrane Reactors -- 6.3.3.2 Reactive Distillation -- 6.3.3.3 Chromatographic Reactors Based Technologies -- 6.4 Applications -- 6.5 Conclusions -- References -- 7 Ionic Liquids as Alternative Solvents for Extraction of Natural Products -- 7.1 Introduction -- 7.2 Ionic Liquids as Solvents for Extraction. 7.3 Solid-Liquid Extraction with Ionic Liquids -- 7.3.1 Extraction Procedures -- 7.3.1.1 Classical Extraction -- 7.3.1.2 Ultrasound-Assisted Extraction -- 7.3.1.3 Microwave-Assisted Extraction -- 7.3.1.4 Other Extraction Techniques -- 7.3.2 Effect of Ionic Liquids on the Extraction Efficiency -- 7.3.3 Extraction Mechanism -- 7.3.4 Ionic Liquid Regeneration and Solute Recovery -- 7.4 Conclusion -- References -- 8 Enzymatic Aqueous Extraction (EAE) -- 8.1 Introduction -- 8.2 Detailed Understanding of EAE -- 8.2.1 Mechanisms Observed: The Role of Water as Solvent -- 8.2.2 Enzyme as the Main Tool -- 8.2.3 Superior Vegetal Cell Wall -- 8.2.4 Extracellular Cell Walls -- 8.2.4.1 Primary Cell Wall -- 8.2.4.2 Secondary Cell Wall -- 8.2.4.3 Oleosomes -- 8.2.5 Algal Cell Wall -- 8.2.6 Enzymes Able of Hydrolyzing Vegetal Cell Walls -- 8.2.6.1 Cellulases -- 8.2.6.2 Hemicellulases -- 8.2.6.3 Pectinases -- 8.2.6.4 Algae Hydrolytic Enzymes -- 8.3 Enzymatic Aqueous Extraction -- 8.3.1 Press or Solvent Process Using Enzymes -- 8.3.1.1 Oil Extraction -- 8.3.1.2 Other Compounds Extraction -- 8.3.2 Enzyme-Assisted Aqueous Extraction -- 8.3.3 Pretreatment of EAE -- 8.3.3.1 Inactivation of Endogenous Enzymes -- 8.3.3.2 Grinding -- 8.3.3.3 Vapor-Phase Cracking -- 8.3.3.4 Hydrothermolysis -- 8.3.3.5 Acidic Treatments -- 8.3.3.6 Alkali Treatments -- 8.4 Influence of Extraction Parameters -- 8.4.1 Enzymatic Mixture -- 8.4.2 pH -- 8.4.3 Temperature -- 8.4.4 Stirring -- 8.4.5 Seed/Water Ratio -- 8.4.6 Enzymes/Seeds Ratio and Hydrolysis Time -- 8.5 A Wide Variety of Products -- 8.5.1 EAE Impacts on Products Quality -- 8.5.2 Reducing Emulsion Formed During EAE -- 8.5.3 Bifunctionality of Enzymes -- 8.6 Combination of Different Alternative Methods -- 8.7 Applications of EAE -- 8.7.1 Laboratory Scale -- 8.7.2 Pilot/Industrial Scale -- 8.7.2.1 Biofuel Applications. 8.7.2.2 Industrial Applications (Food, Health, and Beauty Care Products) -- 8.7.2.3 Biorefinery -- 8.7.3 Pros and Cons of EAE at an Industrial Scale -- 8.8 Conclusion -- References -- 9 Terpenes as Green Solvents for Natural Products Extraction -- 9.1 Essential Oils as Sources of Terpenes: Recovery and Composition -- 9.2 Terpenes: Physicochemical and Solvation Properties -- 9.3 Examples of Extraction Using Terpenes -- 9.3.1 Pinene: Origin, Applications, and Properties -- 9.3.2 Pinene as an Alternative Solvent for Soxhlet Extraction -- 9.3.2.1 Fats and Oils from Crops -- 9.3.2.2 Lipids from Microalgae -- 9.3.2.3 α-Pinene Recycling Capacity -- 9.3.3 Pinene as an Alternative Solvent for Dean-Stark Distillation of "In Situ" Water -- 9.3.4 Pinene as an Alternative Solvent for Extraction of Carotenoids from By-Products -- References -- 10 Emulsion Extraction of Bio-products: Influence of Bio-diluents on Extraction of Gallic Acid -- 10.1 Introduction -- 10.2 Liquid-Liquid Extraction and Extraction by Emulsion of Organic Acid from Biomass -- 10.2.1 Principle -- 10.2.2 Liquid-Liquid Extraction of Bio-based Organic Acids -- 10.2.2.1 Extraction by Basic Extractants -- 10.2.2.2 Extraction by Solvating Extractants -- 10.2.3 Emulsion Extraction of Bio-based Organic Acids -- 10.2.4 Eco-conception of Extraction with Bio-reagents -- 10.3 Eco-conception of Liquid-Liquid and Emulsion Extractions with Bio-diluents: Example of Gallic Acid -- 10.3.1 Choice of Bio-diluents -- 10.3.2 Application in Liquid-Liquid Extraction -- 10.4 Application in Extraction by Emulsion -- 10.5 Conclusion -- References -- 11 Gluconic Acid as a New Green Solvent for Recovery of Polysaccharides by Clean Technologies -- 11.1 Introduction -- 11.2 Gluconic Acid Production -- 11.3 Use of Gluconic Acid for Pectin Production -- 11.4 Use of Gluconic Acid for Crustacean Chitin Production. 11.5 Use of Gluconic Acid for Chitosan Processing -- 11.6 Use of Gluconic Acid for Fungal Chitosan-Glucan Production -- 11.7 Conclusions -- References -- 12 2-Methyltetrahydrofuran: Main Properties, Production Processes, and Application in Extraction of Natural Products -- 12.1 Introduction -- 12.2 MeTHF Properties -- 12.3 Production Processes -- 12.3.1 Raw Materials -- 12.3.2 Synthesis -- 12.3.3 Synthesis from Furfural -- 12.3.4 Synthesis from Levulinic Acid -- 12.3.5 Recovery of MeTHF -- 12.4 Applications -- 12.4.1 Extraction of Carotenoids -- 12.4.2 Extraction of Aromas -- 12.4.3 Comprehension of Solubility of Primary and Secondary Metabolites of Various Natural Products by Using Hansen Theoretical Prediction -- References -- 13 Innovative Technologies Used at Pilot Plant and Industrial Scales in Water-Extraction Processes -- 13.1 Ultrasound-Assisted Water Extraction (UAWE) -- 13.1.1 Characteristic Parameters of UAWE -- 13.1.2 Laboratory- and Industrial-Scale UAWE Apparatus -- 13.1.3 Application of UAWE at Pilot Plant and Industrial Scales -- 13.2 Microwave-Assisted Extraction (MAE) -- 13.2.1 Parameters of MAE -- 13.2.2 Laboratory- and Pilot Plant-Scale MAE Apparatus -- 13.3 Pulsed Electric Fields Extraction (PEFE) -- 13.3.1 Parameters of PEFE -- 13.3.2 Applications of PEFWE at Pilot Plant Scale -- 13.4 Negative Pressure Cavitation Extraction (NPCE) -- 13.4.1 Mechanism and Parameters of NPCE -- 13.4.2 Laboratory- and Pilot Plant-Scale NPCE Apparatus -- 13.4.3 Application of NPCE at Pilot Plant Scale -- 13.5 Pressurised Hot Water (PHW) Extraction (PHWE) -- 13.5.1 Parameters of PHWE -- 13.5.2 Laboratory- and Pilot Plant-Scale PHWE Apparatus -- 13.5.3 Application of PHWE at Pilot Plant Scale -- 13.6 Membrane-Based Separation and Extraction -- 13.6.1 General Considerations About Membrane Technology -- 13.6.1.1 Microfiltration. 13.6.1.2 Ultrafiltration. This book presents a complete picture of the current state-of-the-art in alternative and green solvents used for laboratory and industrial natural product extraction in terms of the latest innovations, original methods and safe products. It provides the necessary theoretical background and details on extraction, techniques, mechanisms, protocols, industrial applications, safety precautions and environmental impacts. This book is aimed at professionals from industry, academicians engaged in extraction engineering or natural product chemistry research, and graduate level students. The individual chapters complement one another, were written by respected international researchers and recognized professionals from the industry, and address the latest efforts in the field. It is also the first sourcebook to focus on the rapid developments in this field. EBL201806 Chemical Physics and Chemistry SzGeCERN BOOK Vian, Maryline Abert https://cds.cern.ch/auth.py?r=EBLIB_P_1802516 ebook n 201823 201806 21 PUBLIC BOOK DELETED 2622765 SzGeCERN 20190812235036.0 9783642541179 print version 9783642541186 electronic version electronic version oai:cds.cern.ch:2622765 cerncds:BOOK EBL 1731246 eng TK7874.6QA76.758QA76 006.22 Fitzgerald, John Collaborative design for embedded systems co-modelling and co-simulation Berlin Springer 2014 393 p ebook Intro -- Foreword -- Preface -- Structure of the Text -- Using the Book -- Accompanying Web Site -- Acknowledgments -- List of Acronyms -- Contents -- List of Contributors -- Part I Co-modelling and Co-simulation: The Technical Basis -- Chapter 1 Collaborative Development of Embedded Systems -- 1.1 Introduction -- 1.2 Setting the Scene -- 1.3 The Embedded Systems Design Challenge -- 1.4 Embedded Systems Design: An Illustrative Story -- 1.4.1 The Control Engineers' Perspective -- 1.4.2 The Software Designers' Perspective -- 1.4.3 The Case for Collaborative Development -- 1.5 A Solution: The Crescendo Approach -- 1.6 Conclusion -- Chapter 2 Co-modelling and Co-simulation in Embedded Systems Design -- 2.1 Introduction -- 2.2 Systems and System Boundaries -- 2.3 Models -- 2.4 Co-models -- 2.5 Co-simulation -- 2.5.1 The Co-simulation Engine -- 2.5.2 Scenarios -- 2.6 DSE and Automated Co-model Analysis -- 2.7 Co-simulation in Practice -- 2.7.1 Where Does Co-simulation Fit with Existing Practice? -- 2.7.2 Developer Background and Legacy Models -- 2.7.3 Paths to Co-modelling -- 2.8 Conclusion -- Chapter 3 Continuous-Time Modelling in 20-sim -- 3.1 Introduction -- 3.2 Physical Systems -- 3.2.1 Mechanical Systems (Translations) -- 3.2.2 Mechanical Systems (Rotations) -- 3.2.3 Electrical Systems -- 3.2.4 Hydraulic Systems -- 3.2.5 Equations in Integral Form -- 3.2.6 Power -- 3.3 Icons and Iconic Diagrams -- 3.4 A Domain-Independent Description: Bond Graphs -- 3.4.1 Example -- 3.4.2 Models in Different Domains -- 3.5 Simulating Physical Systems with 20-sim -- 3.5.1 Sensors and Actuators -- 3.5.2 A Brief Introduction to Pulse Width Modulation -- 3.6 Control Systems -- 3.6.1 Digital Control Systems -- 3.6.2 PID Control -- 3.6.3 DE Systems -- 3.6.4 Sampling -- 3.6.5 Events -- 3.6.6 Controller Architecture -- 3.6.7 Co-simulation -- 3.7 A Small Note on Notation. 3.8 Conclusion -- Chapter 4 Discrete-Event Modelling in VDM -- 4.1 Introduction -- 4.2 Basic Elements: Data and Functionality -- 4.2.1 Data -- 4.2.1.1 Expressions -- 4.2.1.2 Data Types and Invariants -- 4.2.2 Functionality -- 4.2.2.1 Function Definitions -- 4.2.2.2 Operation Definitions -- 4.3 Example: A Basic Controller Model -- 4.4 Modelling with Structured Data -- 4.4.1 Nonnumeric Data -- 4.4.1.1 Characters -- 4.4.1.2 Union Types and Quote Types -- 4.4.2 Structured Collections: Records, Sets, Sequences and Mappings -- 4.4.2.1 Records -- 4.4.2.2 Sets -- 4.4.2.3 Sequences -- 4.4.2.4 Mappings -- 4.5 Example: Supervisory Control -- 4.6 Example: Controlling for Safety -- 4.7 Object-Oriented Structuring -- 4.7.1 Structure of the TorsionBarBaseline Model -- 4.7.2 Instances of Classes and Constructors -- 4.7.3 Optional Types and Association Multiplicities -- 4.8 Concurrency -- 4.8.1 Threads in VDM -- 4.8.2 Synchronisation of Threads in VDM -- 4.9 Modelling Systems -- 4.10 Conclusion -- Chapter 5 Support for Co-modelling and Co-simulation: The Crescendo Tool -- 5.1 Introduction -- 5.2 Importing the Torsion Bar Co-model -- 5.3 Crescendo Contracts -- 5.3.1 Introduction to the VDM Link File -- 5.3.2 Global Variables in the CT Model -- 5.4 Starting a Co-simulation -- 5.5 Using Scripts and SDPs -- 5.6 Changing the Torsion Bar Model -- 5.6.1 Adjusting the CT Model -- 5.6.2 Adjusting the DE Model -- 5.7 Conclusion -- Chapter 6 Co-model Structuring and Design Patterns -- 6.1 Introduction -- 6.2 Object-Orientation and Inheritance -- 6.3 Interfaces for Sensors and Actuators -- 6.4 Design Patterns -- 6.4.1 The Decorator Pattern -- 6.4.2 Application of the Decorator Pattern -- 6.5 Using Inheritance for Threads -- 6.5.1 An Abstract Thread Class -- 6.5.2 Using the Abstract Thread Class -- 6.6 Structuring Constituent Models for Flexible Simulation. 6.6.1 Co-model Boundaries -- 6.6.2 Structuring CT Models for Flexible Simulation -- 6.6.3 Structuring DE Models for Flexible Simulation -- 6.6.3.1 Environment Models -- 6.6.3.2 IO Factories -- 6.7 Conclusion -- Part II Methods and Applications: The Pragmatics of Co-modelling and Co-simulation -- Chapter 7 Case Studies in Co-modelling and Co-simulation -- 7.1 Introduction -- 7.2 The R2-G2P Line-Following Robot -- 7.2.1 Line-Following -- 7.2.2 Line-Measuring Extension -- 7.2.3 Assumptions and Robot Dimensions -- 7.3 The ChessWay Self-balancing Scooter -- 7.3.1 Robustness: A Key Design Challenge -- 7.3.2 The ChessWay Control Problem -- 7.4 Conclusion -- Chapter 8 Methods for Creating Co-models of Embedded Systems -- 8.1 Introduction -- 8.2 Paths to Co-models -- 8.2.1 When to Use DE-first -- 8.2.2 When to Use CT-first -- 8.2.3 When to Use Contract-first -- 8.2.4 When to Define the Contract -- 8.2.5 Alternate Exploratory Paths to Initial Co-models -- 8.3 Using SysML Initially -- 8.3.1 Purpose Modelling -- 8.3.2 System Decomposition -- 8.3.2.1 CT Constructs -- 8.3.2.2 DE Constructs -- 8.3.2.3 Co-simulation Contract -- 8.4 The CT-first Approach -- 8.4.1 Preparation -- 8.4.2 Plant Modelling -- 8.4.3 CT-first Modelling of the Line-Following Robot -- 8.4.3.1 Robot Body -- 8.4.3.2 Wheels and Servos -- 8.4.3.3 Sensors -- 8.4.4 Transition to Co-model -- 8.5 The DE-first Approach -- 8.5.1 Preparation -- 8.5.2 Environment -- 8.5.2.1 Data-Driven -- 8.5.2.2 Basic Integration -- 8.5.3 Sensors and Actuators -- 8.5.4 DE-first Modelling of the ChessWay Self-balancing Scooter -- 8.5.4.1 The Environment Class -- 8.5.4.2 The World Class -- 8.5.4.3 Sensors and Actuators -- 8.5.4.4 The ChessWay System -- 8.5.4.5 The Controller Class -- 8.5.5 Transition to Co-model -- 8.6 The Contract-first Approach -- 8.7 Conclusion. Chapter 9 Co-modelling of Faults and Fault Tolerance Mechanisms -- 9.1 Introduction -- 9.2 Fault Identification -- 9.3 Fault Selection -- 9.4 Fault Modelling -- 9.5 Fault Tolerance Coverage -- 9.6 Fault Tolerance Modelling -- 9.7 An Example Using the Line-Following Robot -- 9.8 An Example Using the ChessWay -- 9.9 Conclusion -- Chapter 10 Design Space Exploration for Embedded Systems Using Co-simulation -- 10.1 Introduction -- 10.2 Using ACA -- 10.2.1 How ACA Works -- 10.2.2 Configuring an ACA Launch -- 10.3 An Example Using the Line-Following Robot -- 10.4 Candidate Parameters -- 10.4.1 Design or Environmental Parameters -- 10.4.1.1 Design Parameters -- 10.4.1.2 Environmental/Uncontrollable Factors -- 10.4.2 Nature of the Parameters -- 10.4.2.1 Continuous Parameters -- 10.4.2.2 Parameters with Discrete Values/Design Alternatives -- 10.5 Experimental Design -- 10.5.1 Screening Experiments -- 10.5.2 Fractional Factorial Experiments -- 10.5.2.1 Orthogonal Matrices (Taguchi Methods) -- 10.5.2.2 Space-Filling Search -- 10.5.2.3 Parameter Sweeping -- 10.6 Using Folder Launch Configuration -- 10.7 An Example Using the T1X Tractor -- 10.7.1 An Iterative Approach -- 10.8 Ranking of Results -- 10.8.1 Simple Equation -- 10.8.2 Weighted Additive Method -- 10.8.3 Enumeration and Scoring -- 10.8.4 Analysis of Results -- 10.9 An Example Using the Line-Measuring Robot -- 10.10 Conclusion -- Chapter 11 Industrial Application of Co-modellingand Co-simulation Technology -- 11.1 Introduction -- 11.2 A Dredging Excavator -- 11.2.1 Case Description and Main Challenges -- 11.2.2 The Continuous Time Model -- 11.2.3 The Discrete Event Model -- 11.2.3.1 Operator -- 11.2.3.2 Controller -- 11.2.3.3 Safety Unit -- 11.2.3.4 Controller States -- 11.2.3.5 Modes of Operation -- 11.2.4 Co-simulation Analysis -- 11.2.4.1 Ground Model -- 11.2.4.2 Overload. 11.2.4.3 Endstop Protection -- 11.2.4.4 Emergency Switch -- 11.2.5 Key Results and Observations -- 11.3 A Document Handling System -- 11.3.1 Case Description and Main Challenges -- 11.3.2 The Continuous Time Model -- 11.3.3 The Discrete Event Model -- 11.3.3.1 The Loop Controller -- 11.3.3.2 The Setpoint Profile -- 11.3.3.3 The Sequence Controller -- 11.3.3.4 The Supervisory Controller -- 11.3.4 Co-simulation Analysis -- 11.3.5 Key Results and Observations -- 11.4 The ChessWay Self-balancing Scooter -- 11.4.1 Case Description and Main Challenges -- 11.4.2 The Continuous Time Model -- 11.4.3 The Discrete Event Model -- 11.4.4 Co-simulation Analysis -- 11.4.5 Key Results and Observations -- 11.5 Conclusion -- Part III Advanced Topics -- Chapter 12 Deploying Co-modelling in Commercial Practice -- 12.1 Introduction -- 12.2 Company Introductions -- 12.3 Traditional Development -- 12.4 Integrating Co-modelling and Co-simulation with Existing Processes -- 12.5 Resources -- 12.6 Challenges Encountered -- 12.7 Key Benefits -- 12.8 The Future of Co-modelling -- 12.9 Conclusion -- Chapter 13 Semantics of Co-simulation -- 13.1 Introduction -- 13.2 Structure of Co-simulation -- 13.2.1 Common Semantic Constraints -- 13.2.2 Continuous-Time Simulation Semantics -- 13.2.3 Discrete-Event Simulation Semantics -- 13.3 Co-simulation Semantics -- 13.3.1 Structural Operational Semantics -- 13.3.2 Co-simulation Static State -- 13.3.3 Co-simulation Behaviour -- 13.3.4 Simulator Properties and Their Transition Relations -- 13.4 Adding Fault Injection Semantics to the Co-simulation -- 13.5 Semantics of the CSL -- 13.5.1 Top-Level CSL Structures -- 13.5.2 CSL Statement and Expression Semantics -- 13.5.2.1 Structure -- 13.5.2.2 Statement Rules -- 13.5.2.3 Expression Evaluation -- 13.6 Conclusion. Chapter 14 From Embedded to Cyber-Physical Systems:Challenges and Future Directions. This book presents a framework that allows the very different kinds of design models - discrete-event models of software and continuous time models of the physical environment - to be analyzed and simulated jointly, based on common scenarios. EBL201806 Computing and Computers SzGeCERN EBL Embedded computer systems -- Design BOOK Larsen, Peter Gorm Verhoef, Marcel https://cds.cern.ch/auth.py?r=EBLIB_P_1731246 ebook n 201823 201806 21 PUBLIC BOOK DELETED 2622743 SzGeCERN 20181121232416.0 9781136443961 (electronic bk.) electronic version 9780789031556 electronic version 9780789031556 print version oai:cds.cern.ch:2622743 cerncds:BOOK EBL 1517745 eng Z688.G6 -- C46 2006eb 025.2/84 Kumar, Suhasini L The changing face of government information providing access in the twenty-first century London Routledge 2006 311 p ebook Cover -- The Changing Face of Government Information: Providing Access in the Twenty-First Century -- Copyright -- CONTENTS -- Introduction -- GOVERNMENT PRINTING OFFICE'S TRANSITION TO A MORE ELECTRONIC FORMAT AND ITS IMPACT ON THE COLLECTION AND REFERENCE SERVICES -- A Virtual Depository: The Arizona Project -- The Depository Library Community and Collaborative Participation in E-Government: AskUS (FDLP Librarians) and We Will Answer! -- Elusive No Longer? Increasing Accessibility to the Federally Funded Technical Report Literature -- Government Statistical Data: Changes Impacting Access and Service -- The Way We Work Now: A Survey of Reference Service Arrangement in Federal Depository Libraries -- Mapping New Horizons in Government Documents Reference Service: A Unique Collaboration -- IMPACT OF 9/11 ON ACCESS TO GOVERNMENT INFORMATION -- Libraries in the Aftermath of 9/11 -- The Online Government Information Movement: Retracing the Route to DigiGov Through the Federal Documents Collection -- GOVERNMENT INFORMATION MANAGEMENT -- Documents Data Miner©: Creating a Paradigm Shift in Government Documents Collection Development and Management -- Catalogs, Indexes, and Full Text Databases: An Integrative Approach to Accessing Government Literature -- PRESERVATION AND AUTHENTICATION OF GOVERNMENT INFORMATION -- Preserving Electronic Government Information: Looking Back and Looking Forward -- Providing Perpetual Access to Government Information -- ANNOTATED RESOURCES -- Information on Native Americans in U.S. Government Publications -- Going Local: Environmental Information on the Internet -- Index. Learn what innovative changes lie in the future of government information The Changing Face of Government Information comprehensively examines the way government documents' librarians acquire, provide access, and provide reference services in the new electronic environment. Noted experts discuss the impact electronic materials have had on the Government Printing Office (GPO), the reference services within the Federal Depository Library Program (FDLP), and the new opportunities in the transition from paper-based information policy to an electronic e-government. This source reveals the latest changes in the field of government documents librarianship and the knowledge and expertise needed to teach users how to access what they need from this enormous wealth of government information. Major changes have taken place in the way government information is created, disseminated, accessed, and preserved. The Changing Face of Government Information explains in detail the tremendous change taking place in libraries and government documents librarianship. Topics include the increasing accessibility to the federally funded technical report literature, information on the Patriot Act's effect on the status of libraries in the aftermath of 9/11, the uses of Documents Data Miner©, and information about catalogs, indexes, and full text databases. This book also provides a selective bibliography of print and electronic sources about Native Americans and the Federal Government, as well as specific sources for information about the environment, such as EPA air data, DOE energy information, information on flora and fauna, hazardous waste, land use, and water. Each chapter is extensively referenced and several chapters use appendixes, tables, and charts to ensure understanding of data. This useful book gives readers the opportunity to learn: how the University of Oregon successfully integrated its business reference service and map collection into its government documents collection the results of a survey of FDLP institutions identifying the factors contributing to the reorganization of services details of the pilot project undertaken by the University of Arizona Library along with the United States Government Printing Office's Library Programs Service to create a model for a virtual depository library which critical features are missing in today's e-government reference service models details of the GPO's plans to provide perpetual access to both electronic and tangible information resources—and the strategies to authenticate government publications on the Internet The Changing Face of Government Information is stimulating, horizon-expanding reading for librarians, professors, students, and researchers. EBL201806 Information Transfer and Management SzGeCERN EBL Depository libraries -- Reference services -- United States EBL Electronic government information -- United States EBL Federal Depository Library Program EBL Information policy -- United States EBL Libraries -- Special collections -- Electronic government information BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1517745 ebook n 201823 21 PUBLIC BOOK DELETED 2622695 SzGeCERN 20210421204829.0 9780203005439 electronic version electronic version 9780415201902 print version oai:cds.cern.ch:2622695 cerncds:BOOK EBL 201177 eng QC28 -- .S65 2005eb 530 Smith, Clare Environmental physics London Routledge 2001 274 p ebook Routledge introductions to environment series Book Cover -- Title -- Copyright -- Contents -- Plates -- Figures -- Tables -- Boxes -- Acknowledgements -- Introduction -- 1 The forces of nature -- Fundamentals: Newtonian mechanics -- Momentum and inertia -- Forces -- Action and reaction -- Motion -- SI units -- Scalars and vectors -- Friction and air resistance -- Gravity -- Newtonian gravity -- Mass, weight and density -- Universal gravity-big G and little g -- Terminal velocity and settling velocity -- Rotational dynamics and angular momentum -- Moments of inertia -- Central forces -- The Coriolis force -- The vortex -- Orbits -- Waves -- Wave characteristics -- Wave properties -- Seismic waves -- Resonance -- Electromagnetism -- Electric charge and current -- Electric fields -- Magnets and magnetic materials -- Magnetic fields and forces -- The Earth's magnetic field -- Electricity and magnetism: induction -- Electromagnetism in animals and plants -- Summary -- Questions -- Answers to numerical parts -- Further reading -- 2 Energy -- Energy, efficiency and entropy -- Energy efficiency -- Entropy -- Entropy and the environment -- Mechanical work-forces and energy -- Energy, power and units -- Kinetic energy and potential energy -- Electrical energy -- Electric power and transmission -- Power station capacity -- Electric motors and generators -- Renewable energy -- Renewable resources -- Hydro-electric power and potential energy -- Wind power -- Tides and tidal power -- Energy in waves and wave power -- Photovoltaics -- Energy storage -- Energy use in transport -- Energy efficiency of different transport modes -- Comparison of specific energy use -- Electric vehicles -- Energy in the biosphere -- Photosynthesis -- Trophic levels -- Other biological energy sources -- Biomass energy -- Summary -- Questions -- Answers to numerical parts -- Further reading -- 3 Heat and radiation. Heat and temperature -- Heat capacity -- Latent heat -- Refrigeration and heat pumps -- Thermal expansion -- Transmission of heat -- Convection -- Conduction -- Heat in buildings -- Heat balance in animals and plants -- Engines and thermal power production -- Engines -- Thermal power stations -- The Carnot cycle -- Geothermal power -- Solar water heaters -- Passive solar design -- Radiation: the electromagnetic spectrum -- Transmission, absorption and reflection of radiation -- Other wave properties in EM radiation -- Radiation from hot objects: black bodies -- Atomic absorption and emission spectrometry -- Biological effects of non-ionising radiation -- Remote sensing -- Radiometry in remote sensing -- Image interpretation and ground-truthing -- Summary -- Questions -- Answers to numerical parts -- Further reading -- 4 Solids, liquids and gases -- States of matter -- Solutions and other mixtures -- Changes of state -- Cloud seeding and condensation nuclei -- Molecular diffusion -- Properties of solids -- Elasticity, stress and strain -- Strength -- Stress and strain in rocks -- Seismic waves and seismology -- Pressure -- Archimedes' principle -- Flotation -- Gases -- The gas laws -- Conversion to standard temperature and pressure -- Work done in expanding gases -- Heat capacities of gases -- Adiabatic and isothermal expansion -- Fluids and fluid flow -- Laminar and turbulent flow -- Measuring flow rates -- Laminar flow in a pipe -- Bernoulli's principle -- Aerodynamics and aerofoils -- Atmospheric transport of pollutants -- Surface tension and surface effects -- Hydrology and hydrogeology -- Hydrological processes -- Darcy's law -- Groundwater flow -- Contaminant transport in groundwater -- Summary -- Questions -- Answers to numerical parts -- Further reading -- 5 The Earth's climate and climate change -- The Earth's climate -- The atmosphere. General circulation of the atmosphere -- Weather disturbances -- Clouds -- Ocean currents -- Microclimates -- The ozone layer -- Climate change -- The Earth's radiative balance, albedo and the 'greenhouse effect' -- Greenhouse gases and greenhouse warming potentials -- Greenhouse warming, feedbacks and climate impacts -- Ice ages and colder climates? -- Sea level -- Climate modelling-predicting change -- Validation of models of climate change -- Summary -- Questions -- Answers to numerical parts -- Further reading -- 6 Sound and noise -- Sound waves -- The velocity of sound -- Music -- Ultrasound -- Propagation of sound and acoustics -- The Doppler effect -- Measuring sound: the decibel -- Combining decibel levels -- Propagation of sound over distance -- Noise and noise nuisance -- Human perception of sound and noise -- Noise levels -- Noise measurements -- Controlling noise -- Noise contours -- Summary -- Questions -- Answers to numerical parts -- Further reading -- 7 Radioactivity and nuclear physics -- Nuclear physics -- The structure of the atom -- Atomic mass and energy -- Isotopes -- Binding energy and mass defects -- Types of ionising radiation -- Units of radiation measurement -- Radioactive decay -- Radioactive decay chains -- Decay rates and half-lives -- Carbon dating and other radiometric dating techniques -- Biological impacts of ionising radiation -- Radiation doses and dose limits -- Environmental pathways of radioisotopes -- Risk analysis -- Power from nuclear fission -- Energy released by nuclear fission -- Critical mass -- Nuclear power-types of fission reactor -- Control of nuclear reactors -- Fast-breeder reactors -- Nuclear safety and nuclear Incidents' -- The nuclear fuel 'cycle' and reprocessing -- Radioactive discharges -- Decommissioning of nuclear facilities -- Nuclear waste -- Could nuclear power help reduce climate change?. Fusion reactions -- Energy in a fusion reaction -- Power from nuclear fusion? -- Summary -- Questions -- Answers to numerical parts -- Further reading -- Appendix A: Mathematical hints -- Scientific notation -- Mathematical functions -- Order of calculation -- Rearranging equations -- Proportionality -- Using your calculator -- Appendix B: Symbols and abbreviations -- Bibliography -- Index. Environmental Physics is a comprehensive introduction to the physical concepts underlying environmental science. The importance and relevance of physics is emphasised by its application to real environmental problems with a wide range of case studies. Applications included cover energy use and production, global climate, the physics of living things, radioactivity, environmental remote sensing, noise pollution and the physics of the Earth. The book makes the subject accessible to those with little physics background, keeping mathematical treatment straightforward. The text is lively and informative, and is supplemented by numerous illustrations, photos, tables of useful data, and a glossary of key terms. EBL201806 SzGeCERN Physics in general BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_201177 ebook n 201823 21 PUBLIC https://catalogue.library.cern/legacy/2622695 BOOK MIGRATED 2622195 SzGeCERN 20210422083429.0 9783319789187 print version 9783319789194 electronic version electronic version DOI 10.1007/978-3-319-78919-4 e-proceedings oai:cds.cern.ch:2622195 cerncds:CONF eng TA401-492 23 620.11 20171016 Physics and Mechanics of New Materials and Their Applications Jabalpur, India 14 - 16 Oct 2017 2017 jabalpur20171014 IN PHENMA 2017 20171014 Cham Springer 2018 ebook Springer proceedings in physics 207 0930-8989 From the contents: Coded Control of Piezoactuator Nano- and Microdisplacement for Mechatronics Systems -- On Free Vibration Analysis of FGPM Cylindrical Shell Excited under d15 Effect -- Sequential Cold Expansion and Resulting Beneficial Residual Stress Prediction around Adjacent Fastener Holes -- Structural and Electronic Properties of CuS.– Post-Treatment of Pt-M(M=Cu,Co,Ni)/C Electrocatalysts with Different Distribution of Metals in Nanoparticles -- Linking Geopolymer Kinetics to Material Fresh Property for Construction-Scale Additive Manufacturing Process -- Matrix Density -- Comparative Study of Cantilever Carbon Nanotube with Carbon Nanotube System -- Influence of Nanosecond Electromagnetic Pulses on the Structural Characteristics, Physico-Chemical and Technological Properties of Diamonds -- Mineral Additives from Technogenic Raw Materials. This book presents selected peer-reviewed contributions from the 2017 International Conference on “Physics and Mechanics of New Materials and Their Applications”, PHENMA 2017 (Jabalpur, India, 14–16 October, 2017), which is devoted to processing techniques, physics, mechanics, and applications of advanced materials. The book focuses on a wide spectrum of nanostructures, ferroelectric crystals, materials and composites as well as promising materials with special properties. It presents nanotechnology approaches, modern environmentally friendly piezoelectric and ferromagnetic techniques and physical and mechanical studies of the structural and physical–mechanical properties of materials. Various original mathematical and numerical methods are applied to the solution of different technological, mechanical and physical problems that are interesting from theoretical, modeling and experimental points of view. Further, the book highlights novel devices with high accuracy, longevity and extended capabilities to operate under wide temperature and pressure ranges and aggressive media, which show improved characteristics, thanks to the developed materials and composites, opening new possibilities for different physico-mechanical processes and phenomena. Physics and astronomy SPR201806 SzGeCERN Other Fields of Physics SzGeCERN Engineering SPR Electrochemistry SPR Semiconductors SPR Structural mechanics SPR Structural materials SPR Materials Science SPR Structural Materials SPR Structural Mechanics SPR Classical Mechanics CONFERENCE PROCEEDINGS Parinov, Ivan ed. Chang, Shun-Hsyung ed. Gupta, Vijay ed. PHENMA 2017 Acronym 201806 SPR n 201823 42 PUBLIC https://catalogue.library.cern/legacy/2622195 PROCEEDINGS MIGRATED 2622192 SzGeCERN 20210421204843.0 9783319899923 print version 9783319899930 electronic version electronic version oai:cds.cern.ch:2622192 cerncds:BOOK DOI 10.1007/978-3-319-89993-0 ebook eng Quirk, Thomas J Excel 2016 in applied statistics for high school students a guide to solving practical problems 1st ed. Cham Springer 2018 ebook Excel for statistics Ch 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- Ch 2 Random Number Generator -- Ch 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- Ch 4 One-Group t-Test for the Mean -- Ch 5 Two-Group t-Test of the Difference of the Means for Independent Groups -- Ch 6 Correlation and Simple Linear Regression -- Ch 7 Multiple Correlation and Multiple Regression -- Ch 8 One-Way Analysis of Variance (ANOVA). This textbook is a step-by-step guide for high school, community college, or undergraduate students who are taking a course in applied statistics and wish to learn how to use Excel to solve statistical problems. All of the statistics problems in this book will come from the following fields of study: business, education, psychology, marketing, engineering and advertising. Students will learn how to perform key statistical tests in Excel without being overwhelmed by statistical theory. Each chapter briefly explains a topic and then demonstrates how to use Excel commands and formulas to solve specific statistics problems. This book gives practice in using Excel in two different ways: (1) writing formulas (e.g., confidence interval about the mean, one-group t-test, two-group t-test, correlation) and (2) using Excel’s drop-down formula menus (e.g., simple linear regression, multiple correlations and multiple regression, and one-way ANOVA). Three practice problems are provided at the end of each chapter, along with their solutions in an Appendix. An additional Practice Test allows readers to test their understanding of each chapter by attempting to solve a specific statistics problem using Excel; the solution to each of these problems is also given in an Appendix. This book is a tool that can be used either by itself or along with any good statistics book. Includes 166 illustrations in color Suitable for high school and undergraduate students Thomas J. Quirk is Professor of Marketing in the George Herbert Walker School of Business & Technology at Webster University based in St. Louis, Missouri (USA) where he teaches Marketing Statistics, Marketing Research, and Pricing Strategies. Professor Quirk has published over 30 statistics book with Springer, covering fourteen subject areas (business, education, psychology, social science, biological and life sciences, physical sciences, engineering, human resources management, health services management, environmental sciences, marketing, social work and advertising) using four versions of Excel (2007, 2010, 2013, 2016). He has published over 20 articles in professional journals, and presented more than 20 papers at professional conferences. Quirk holds a BS in Mathematics from John Carroll University, both an MA in Education and a Ph.D. in Educational Psychology from Stanford University, and an MBA from the University of Missouri-St. Louis. Mathematics and statistics SPR201806 SzGeCERN Mathematical Physics and Mathematics SPR Assessment SPR Higher education SPR Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law SPR Assessment, Testing and Evaluation SPR Higher Education BOOK 2nd ed. 2021 2758351 edition 201806 SPR n 201823 21 PUBLIC https://catalogue.library.cern/legacy/2622192 BOOK MIGRATED 2622107 SzGeCERN 20180607214540.0 DOI submitter 10.1109/ICSensT.2015.7438460 oai:inspirehep.net:1663176 cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d 2018-06-07T04:00:11Z marcxml oai:inspirehep.net:1663176 2018-06-06T18:47:03Z Inspire 1663176 eng Arpaia, P U. Naples (main) submitter Advances in stretched and oscillating-wire methods for magnetic measurement 2016 5 p submitter A versatile measurement system has been designed and commissioned at CERN, which is based on a wire sensor in different modes of operation: the classical single-stretched wire mode, the oscillating wire mode employing frequencies well below the first natural resonance, as well as the vibrating wire mode where the wire is excited in the first or higher-order resonance conditions. In this paper, the main technical challenges and constraints of the wire methods are presented, together with the applications to locate the magnetic axis of a string of magnets on a common girder and to the measurement of multipole errors. Sources of uncertainty, stemming from the wire motion unsuitability, are discussed, different wire motion transducers are compared, and the effect of background fields and environmental effects is studied. SzGeCERN Detectors and Experimental Techniques CERN Caiazza, D Sannio U. Deferne, G CERN Petrone, C email:carlo.petrone@cern.ch CERN ORCID:0000-0002-4226-8756 Russenschuck, S CERN 555-559 C15-12-08 2016 13 2146660 auckland20151208 555-559 ARTICLE ConferencePaper 0-0-0-1-0-0-1 2018-03-20 15:21:17 Invenio/1.1.2.1260-aa76f refextract/1.5.44 CURATOR J. DiMarco, J. Krzywinski Ed. by F MTF 1 MTF-96-0001 MTF Single Stretched Wire System 1996 J. DiMarco, H. Glass, M. Lamm, P. Schlabach, C. Sylvester, J. Tompkins, J. Krzywinski 2 IEEE Trans.Appl.Supercond.,10,127-130 Field alignment of quadrupole magnets for the LHC interaction regions 2000 L. Bottura, M. Buzio, S. Pauletta, N. Smirnov Instrumentation and Measurement Technology Conference. IMTC. Proceedings of the IEEE, pp. 765-770 3 Measurement of magnetic axis in accelerator magnets: critical comparison of methods and instruments 2006 CURATOR N. Smirnov, L. Bottura, M. Calvi, G. Deferne, J. DiMarco, N. Sammut, S. Sanfilippo 4 IEEE Trans.Appl.Supercond.,16,261-264 Focusing Strength Measurements of the Main Quadrupoles for the LHC 2006 CURATOR G. Le Bec, J. Chavanne, C. Penel 5 Phys.Rev.ST Accel.Beams,15,022401 Stretched wire measurement of multipole accelerator magnets 2012 1119301 P. Arpaia, M. Buzio, J. Garcia Perez, C. Petrone, S. Russenschuck, L. Walckiers 6 IOP JINST,7,P05003 Measuring field multipoles in accelerator magnets with small-apertures by an oscillating wire moved on a circular trajectory 2012 1250656 P. Arpaia, M. Buzio, C. Petrone, S. Russenschuck, L. Walckiers 7 IOP JINST,8,P08010 Multipole correction of stretched-wire measurements of field-gradients in quadrupole accelerator magnets 2013 1264325 P. Arpaia, C. Petrone, S. Russenschuck, L. Walckiers 8 JINST,8,P11006 Vibrating-wire measurement method for centering and alignment of solenoids 2013 A. Jain, M. Anerella, G. Ganetis, P. He, P. Joshi, P. Kovach, S. Plate, J. Skaritka, A. B. Temnykh 10th International Workshop on Accelerator Alignemnt 9 Vibrating wire R&D; for alignment of multipole magnets in NSLS-II 2008 CURATOR C. Wouters, M. Calvi, V. Vrankovic, S. Sidorov, S. Sanfilippo 10 IEEE Trans.Appl.Supercond.,22,9001404 Vibrating Wire Technique and Phase Lock Loop for Finding the Magnetic Axis of Quadrupoles 2012 N. Catalan Lasheras, H. Mainaud-Durand, M. Modena IPAC-Proceedings. 5th International Particle Accelerator Conference, June 15-20 11 Measuring and aligning accelerator components to the nanometer scale 2014 1228241 M. Aicheler, P. Burrows, M. Draper, T. Garvey, P. Lebrun, K. Peach, N. Phinney, H. Schmickler, D. Schulte, N. Toge European Organization for Nuclear Research 12 CERN-2012-007 A Multi-TeV linear collider based on CLIC technology: CLIC Conceptual Design Report 2012 1125654 P. Arpaia, L. Bottura, L. Fiscarelli, L. Walckiers 13 Rev.Sci.Instrum.,83,024702 Performance of a fast digital integrator in on-field magnetic measurements for particle accelerators 2012 CURATOR A. B. Temnykh 14 Nucl.Instrum.Meth.,A399,185-194 Vibrating wire field-measuring technique 1997 D. Ziemianski, M. Guinchard 181 (ISR Tunnel). Tech. rep. EDMS 1391860. European Organization for Nuclear Research Meyrin Switzerland 15 Ground motion measurements in the magnetic measurement lab at bldg 2014 2622035 SzGeCERN 20210421204851.0 9783319713915 print version 9783319713922 electronic version electronic version DOI 10.1007/978-3-319-71392-2 ebook oai:cds.cern.ch:2622035 cerncds:BOOK eng HA QA276-QA280 23 519.5 Jessop, Alan Let the evidence speak using Bayesian thinking in law, medicine, ecology and other areas Cham Springer 2018 ebook Introduction -- Section A. Likelihood -- Section B. Base rate -- Section C. Application -- Conclusion. This book presents the most important ideas behind Bayes’ Rule in a form suitable for the general reader. It is written without formulae because they are not necessary; the ability to add and multiply is all that is needed. As well as showing in full the application of Bayes’ Rule to some quantitatively simple, though not trivial, examples, the book also convincingly demonstrates that some familiarity with Bayes’ Rule is helpful in thinking about how best to structure one’s thinking. Mathematics and statistics SPR201806 SzGeCERN Mathematical Physics and Mathematics SPR Environmental monitoring SPR Popular Science in Statistics SPR Quantitative Criminology SPR MonitoringEnvironmental Analysis BOOK 201806 SPR n 201823 21 PUBLIC https://catalogue.library.cern/legacy/2622035 BOOK MIGRATED 2622012 SzGeCERN 20210421204854.0 9783319762968 print version 9783319762975 electronic version electronic version DOI 10.1007/978-3-319-76297-5 ebook oai:cds.cern.ch:2622012 cerncds:BOOK eng QA276-280 519.5 23 Hofer, Eduard The uncertainty analysis of model results a practical guide Cham Springer 2018 ebook Preface -- Introduction and necessary distinctions -- Step 1: Search -- Step 2: Quantify -- Step 3: Propagate -- Step 4: Estimate uncertainty -- Step 5: Rank uncertainties -- Step 6: Present the analysis and interpret its results -- Practical execution of the analysis -- Uncertainty analysis when separation of uncertainties is required -- Practical examples -- References -- Subject index. This book is a practical guide to the uncertainty analysis of computer model applications. Used in many areas, such as engineering, ecology and economics, computer models are subject to various uncertainties at the level of model formulations, parameter values and input data. Naturally, it would be advantageous to know the combined effect of these uncertainties on the model results as well as whether the state of knowledge should be improved in order to reduce the uncertainty of the results most effectively. The book supports decision-makers, model developers and users in their argumentation for an uncertainty analysis and assists them in the interpretation of the analysis results. Mathematics and statistics SPR201806 SzGeCERN Mathematical Physics and Mathematics SPR Quality control SPR Reliability SPR Industrial safety SPR Environmental sciences SPR Economic theory SPR Economic TheoryQuantitative EconomicsMathematical Methods SPR Math Appl in Environmental Science SPR Quality Control, Reliability, Safety and Risk BOOK SPR n 201823 201806 21 PUBLIC https://catalogue.library.cern/legacy/2622012 BOOK MIGRATED 2632831 SzGeCERN 20181015173517.0 DOI submitter 10.1109/ACCESS.2018.2849572 oai:inspirehep.net:1680814 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1680814 2018-07-30T15:25:43Z 2018-07-31T04:11:31Z marcxml Inspire 1680814 eng Di Castro, Mario ORCID:0000-0002-2513-967X mario.di.castro@cern.ch CERN CSIC, Madrid submitter CERNTAURO: A Modular Architecture for Robotic Inspection and Telemanipulation in Harsh and Semi-Structured Environments 2018 submitter Intelligent robotic systems are becoming essential for industries, nuclear plants and for harsh environments in general, such as the European Organization for Nuclear Research (CERN) particles accelerator complex and experiments. In order to increase safety and machine availability, robots can perform repetitive, unplanned and dangerous tasks, which humans either prefer to avoid or are unable to carry out due to hazards, size constraints, or the extreme environments in which they take place. A novel robotic framework for autonomous inspections and supervised teleoperations in harsh environments is presented. The proposed framework covers all aspects of a robotic intervention, from the specification and operator training, the choice of the robot and its material in accordance with possible radiological contamination risks, to the realization of the intervention, including procedures and recovery scenarios. The robotic solution proposed in this paper is able to navigate autonomously, inspecting unknown environments in a safe way. A new real-time control system was implemented in order to guarantee a fast response to environmental changes and adaptation to different type of scenarios the robot may find in a semi-structured and hazardous environment. Components of the presented framework are: a novel bilateral master-slave control, a new robotic platform named CERNbot as well as an advanced user-friendly multimodal human-robot interface, also used for the operators’ offline training, allowing technicians not expert in robot operation to perform inspection/maintenance tasks. The proposed system has been tested and validated with real robotic interventions in the CERN hazardous particle accelerator complex. CC-BY 3.0 e http://creativecommons.org/licenses/by/3.0/ SzGeCERN Detectors and Experimental Techniques CERN Ferre, Manuel ORCID:0000-0003-0030-1551 CSIC, Madrid Masi, Alessandro CERN 37506-37522 IEEE Access 6 2018 1423124 2175574 http://cds.cern.ch/record/2632831/files/08391705.pdf 13 ARTICLE 0-0-0-3-0-0-1 2018-07-30 17:25:10 Invenio/1.1.2.1260-aa76f refextract/1.5.44 content.pdf;1 K. Schwab The Fourth Industrial Revolution. Geneva, Switzerland: World Economic Forum 1 2016 Z. Qin, G. Denker, C. Giannelli, P. Bellavista, and N. Venkatasubramanian ‘‘A software defined networking architecture for the Internet-of-Things,’’ in Proc. IEEE Netw. Oper. Manage. Symp. (NOMS), May, pp. 1-9 2 2014 doi:10.1142/S0219843617500128 Y. Cho, J. Choi, J. Choi, and Y.-J. Ryoo ‘‘Robot software platform for IoT-based context-awareness,’’ Int. J Humanoid Robot., vol. 14, no. 2, p. 1750012 3 2017 T. Yoshida, K. Nagatani, S. Tadokoro, T. Nishimura, and E. Koyanagi ‘‘Improvements to the rescue robot quince toward future indoor surveillance missions in the Fukushima Daiichi nuclear power plant,’’ in Field and Service Robotics. Berlin, Germany: 4 Springer 2014 J. P. Friconneau, V. Beaudoin, A. Dammann, C. Dremel, J. P. Martins, and C. S. Pitchera ‘‘ITER hot cell—Remote handling system maintenance overview,’’ 5 Fusion Eng.Des.,124,673-676 2017 (A. W. Chao (eds.)) Handbook of Accelerator Physics and Engineering. Singapore: 6 World Scientific 2013 C. Lefevre The CERN Accelerator Complex, document CERN-DI-0812015 7 2008 M. Altarelli et al. ‘‘The European X-ray free-electron laser,’’ DESY, Tech. Rep.,, pp. 1-26, vol. 97 8 2006 L. Hoddeson et al. ‘‘ : Physics, the frontier, and megascience,’’ 9 Fermilab Am.J.Phys.,77,671-672 2009 M. Hvilshøj, S. Bøgh, O. S. Nielsen, and O. Madsen ‘‘Autonomous industrial mobile manipulation (AIMM): Past, present and future,’’ Ind. Robot, Int. J vol. 39, no. 2, pp. 120-135 10 2012 R. Buckingham and A. Loving ‘‘Remote-handling challenges in fusion research and beyond,’’ 11 Nature Phys.,12,391-393 2017 A. Gutiérrez-Giles and A. M. Arteaga-Pérez ‘‘Transparent bilateral teleoperation interacting with unknown remote surfaces with a force/velocity observer design,’’ Int. J Control, pp. 1-18, Sep 12 2017 W. J. Manion and T. S. LaGuardia ‘‘Decommissioning handbook,’’ Nucl. Energy Services Inc., Danbury, CT, USA, Tech. Rep. DOE/EV/10128-1 and RLO/SFM-80-3 13 1980 M. E. Rosheim Robot Evolution: The Development of Anthrobotics. Hoboken, NJ, USA: 14 Wiley 1994 L. G. García-Valdovinos et al. ‘‘Modelling, design and robust control of a remotely operated underwater vehicle,’’ Int. J Adv. Robotic Syst., vol. 11, no. 1, pp. 1-16 15 2014 J. J. Leonard and A. Bahr ‘‘Autonomous underwater vehicle navigation,’’ in Handbook of Ocean Engineering pp. 341-358 16 Springer Springer 2016 T. Lozano-Perez Autonomous Robot Vehicles. New York, NY, USA: 17 Springer 2012 J. E. Manley ‘‘Unmanned surface vehicles, 15 years of development,’’ in Proc. IEEE OCEANS, Sep., pp. 1-4 18 2008 G. De Novi, C. Melchiorri, J. C. García, P. J. Sanz, P. Ridao, and G. Oliver ‘‘New approach for a reconfigurable autonomous underwater vehicle for intervention,’’ Aerosp. Electron. Syst. Mag., vol. 25, no. 11, pp. 32-36, Nov 19 IEEE 2010 A. Shukla and H. Karki ‘‘Application of robotics in onshore oil and gas industry—A review Part I ’’ Robot. Auto. Syst., vol. 75, pp. 490-507, Jan 20 2016 A. Shukla and K. Hamad ‘‘Application of robotics in offshore oil and gas industry—A review Part II,’’ Robot. Auton. Syst., vol. 75, pp. 508-524, Jan 21 2016 M. Rossi, D. Brunelli, A. Adami, L. Lorenzelli, F. Menna, and F. Remondino ‘‘Gas-drone: Portable gas sensing system on UAVs for gas leakage localization,’’ in Proc. IEEE SENSORS, Nov., pp. 1431-1434 22 2014 E. Feron and E. N. Johnson ‘‘Aerial robotics,’’ Handbook of Robotics. Berlin, Germany: pp. 1009-1029 23 Springer Springer 2008 D. W. Matolak and R. Sun ‘‘Unmanned aircraft systems: Air-ground channel characterization for future applications,’’ Veh. Technol. Mag., vol. 10, no. 2, pp. 79-85, Jun 24 IEEE 2015 J. Irizarry, G. Masoud, and B. N. Walker ‘‘Usability assessment of drone technology as safety inspection tools,’’ J. Inf Technol. Construction, vol. 17, no. 12, pp. 194-212 25 2012 N. Sharkey ‘‘The automation and proliferation of military drones and the protection of civilians,’’ Law, Innov 26 Technol.,3,229-240 2011 P. M. Asaro ‘‘The labor of surveillance and bureaucratized killing: New subjectivities of military drone operators,’’ Soc. Semiotics, vol. 23, no. 2, pp. 196-224 27 2013 K. Valavanis and G. J. Vachtsevanos Handbook of Unmanned Aerial Vehicles. Dordrecht, The Netherlands 28 Springer 2014 A. Callam ‘‘Drone wars: Armed unmanned aerial vehicles,’’ Int. Affairs Rev., vol. 18, no. 3 29 2015 G. Wild, J. Murray, and G. Baxter ‘‘Exploring civil drone accidents and incidents to help prevent potential air disasters,’’ Aerospace, vol. 3, no. 3, p. 22 30 2016 L. Pedersen, D. Kortenkamp, D. Wettergreen, and I. Nourbakhsh ‘‘A survey of space robotics,’’ NASA Ames Res. Center, Moffett Field, CA, USA, Tech. Rep.0054507 31 2003 M. Yim, K. Roufas, D. Duff, Y. Zhang, C. Eldershaw, and S. Homans ‘‘Modular reconfigurable robots in space applications,’’ Auto. Robots, vol. 14, no. 2, pp. 225-237, Mar 32 2003 M. Bajracharya et al. ‘‘Autonomy for Mars rovers: Past, present, and future,’’ 33 Computer,41,44-50 2008 K. Yoshida ‘‘Achievements in space robotics,’’ Robot. Autom. Mag., vol. 16, no. 4, pp. 20-28, Dec 34 IEEE 2009 B. G. Drake, S. J. Hoffman, and D. W. Beaty ‘‘Human exploration of Mars, design reference architecture 5.0,’’ in Proc. IEEE Aerosp. Conf., Mar., pp. 1-24 35 2010 D. W. Hainsworth ‘‘Teleoperation user interfaces for mining robotics,’’ Auto. Robots, vol. 11, no. 1, pp. 19-28 36 2001 P. Corke et al. ‘‘Mining robotics,’’ in Handbook of Robotics. Berlin, Germany: pp. 1127-1150 37 Springer Springer 2008 J. Y. Chen ‘‘UAV-guided navigation for ground robot tele-operation in a military reconnaissance environment,’’ Ergonomics, vol. 53, no. 8, pp. 940-950 38 2010 J. Paul Military Robots and Drones: A Reference Handbook Santa Barbara, CA, USA: ABC-CLIO 39 2013 H. Balta, H. Wolfmayr, J. Braunstein, and Y. van Baudoin ‘‘Integrated mobile robot system for landmine detection,’’ HUDEM, Zadar, Croatia, Tech. Rep.,. 37520 VOLUME 6, 2018 40 2014 G. de Cubber, H. Balta, and C. Lietart ‘‘Teodor: A semi-autonomous search and rescue and demining robot,’’ Appl. Mech 41 Materials,658,599-605 2014 M. Di Castro et al. ‘‘A dual arms robotic platform control for navigation, inspection and telemanipulation,’’ in Proc. ICALEPCS,, pp. 709-713 42 2018 M. Di Castro et al. ‘‘LHC train control system for autonomous inspections and measurements,’’ in Proc. ICALEPCS,, pp. 1507-1511 43 2018 J. V. Draper, W. E. Moore, J. N. Herndon, and B. S. Weil ‘‘Effects of force reflection on servomanipulator task performance,’’ in Proc. Int. Topical Meeting Robot. Remote Handling Hostile Environ 44 1987 R. C. Goertz ‘‘Manipulator systems development at ANL,’’ in Proc. 12th Remote Syst. Technol., Amer. Nucl. Soc., vol. 12,, p. 123 45 1964 T. B. Sheridan Telerobotics, Automation, and Human Supervisory Control. Cambridge, MA, USA: MIT Press 46 1992 J. Schuler Integration von Förder-und Handhabungseinrichtungen, vol. 104. New York, NY, USA: -Verlag 47 Springer 2013 E. Helms, R. D. Schraft, and M. Hagele ‘‘Rob@work: Robot assistant in industrial environments,’’ in Proc. 11th Int. Workshop, Sep., pp. 399-404 48 IEEE 2002 M. Hvilshøj, S. Bøgh, O. Madsen, and M. Kristiansen ‘‘The mobile robot ‘Little Helper’: Concepts, ideas and working principles,’’ in Proc. IEEE Emerg. Technol. Factory Automat., Sep., pp. 1-4 49 2009 W. Garage Willow Garage. [Online]. Available: 50 http://www.willowgarage.com/pages/pr2/overview 2010 TUM-Rosie. . TUM-Rosie. [Online]. Available: 51 http://ias.cs.tum.edu/robots/tum?rosie/ 2011 S. Costo and R. Molfino ‘‘A new robotic unit for onboard airplanes bomb disposal,’’ in Proc. 35th Int. Symp. Robot. (ISR),, pp. 23-26 52 2004 (B. Siciliano and O. Khatib (eds.)) Handbook of Robotics. Berlin, Germany: -Verlag 53 Springer Springer 2016 J.-A. Meyer and G. Filliat ‘‘Map-based navigation in mobile robots: II. A review of map-learning and path-planning strategies,’’ Cognit. Syst. Res., vol. 4, no. 4, pp. 283-317, Dec 54 2003 M. Ferre, Ed. Advances in Telerobotics, vol. 31. Heidelberg, Germany: 55 Springer 2007 P. F. Hokayem and M. W. Spong ‘‘Bilateral teleoperation: An historical survey,’’ 56 Automatica,42,2035-2057 2006 S. Chitta, E. G. Jones, M. Ciocarlie, and K. Hsiao ‘‘Mobile manipulation in unstructured environments: Perception, planning, and execution,’’ Robot. Autom. Mag., vol. 19, no. 2, pp. 58-71, Jun 57 IEEE 2012 First-MM. Flexible Skill Acquisition and Intuitive Robot Tasking for Mobile Manipulation in the Real World-2013. Accessed: Feb. 22, 2018. [Online]. Available: 58 http://www.first-mm.eu/ 2007 TAPAS. Robotics-enabled Logistics and Assistive Services for the Transformable Factory of the Future-2013. Accessed: Dec. 10, 2017. [Online]. Available: ?project.eu/ 59 http://www.tapas 2007 VALERI. Validation of Advanced, Collaborative Robotics for Industrial Applications-2013. Accessed: Jan. 21, 2018. [Online]. Available: 60 http://www.valeri-project.eu 2007 Y. Wu, B. Zhang, S. Yang, X. Yi, and X. Yang ‘‘Energy-efficient joint communication-motion planning for relay-assisted wireless robot surveillance,’’ in Proc. IEEE Conf. Comput. Commun., May, pp. 1-9 61 2017 J. Jerald, P. Giokaris, D. Woodall, A. Hartbolt, A. Chandak, and S. Kuntz ‘‘Developing virtual reality applications with Unity,’’ in Proc. IEEE Virtual Reality (VR), Mar./Apr., pp. 1-3 62 2014 J. W. Murray Building Virtual Reality With Unity and Steam VR. Boca Raton, FL, USA: CRC Press 63 2017 G. Lunghi, R. M. Prades, and M. Di Castro ‘‘An advanced, adaptive and multimodal graphical user interface for human-robot teleoperation in radioactive scenarios,’’ in Proc. 13th Int. Conf. Inform. Control, Automat. Robot.,, pp. 1-8 64 2016 L. Joseph Mastering ROS for Robotics Programming. Birmingham, U.K : Packt Publishing Ltd 65 2015 O. Özyeşil, V. Voroninski, R. Basri, and A. Singer ‘‘A survey of structure from motion,’’ 66 Acta Numer.,26,305-364 2017 M. L. Dingus, W. P. Zoch, T. R. Mayfield, A. Bray, and R. A. Rushing ‘‘Methods and compositions for cleaning and decontamination,’’ U.S. Patent 5 670 469, Sep. 23 67 1997 K. F. Langley and J. Williams ‘‘Decontamination and waste minimisation techniques in nuclear decommissioning,’’ 68 Nucl.Energy,40,189-195 2001 G. J. Butterworth ‘‘Low activation structural materials for fusion,’’ Fusion Eng. Des., vol. 11, nos. 1-2 pp. 231-244 69 1989 C. Claeys and E. Simoen Radiation Effects in Advanced Semiconductor Materials and Devices, vol. 57. Berlin, Germany: -Verlag 70 Springer 2013 M. P. Rombach, M. A. Porter, J. H. Fowler, and P. J. Mucha ‘‘Coreperiphery structure in networks (revisited),’’ 71 SIAM J.Appl.Math.,59,619-646 2014 M. Di Castro, A. Masi, G. Lunghi, and R. Losito ‘‘An incremental slam algorithm for indoor autonomous navigation,’’ presented at the IMEKO 72 2014 M. Di Castro, D. B. Mulero, M. Ferre, and A. Masi ‘‘A real-time reconfigurable collision avoidance system for robot manipulation,’’ in Proc. ACM 3rd Int. Conf. Mechatronics Robot. Eng.,, pp. 6-10 73 2017 M. Di Castro, J. C. Vera, A. Masi, and M. Ferre ‘‘Novel pose estimation system for precise robotic manipulation in unstructured environment,’’ in Proc. 14th Int. Conf. Inform. Control, Autom. Robot.,, pp. 50-55 74 2017 M. Quigley et al. ‘‘ROS: An open-source robot operating system,’’ in Proc. ICRA Workshop Open Source Softw.,, vol. 3, nos. 3-2, p. 5 75 2009 S. Thrun ‘‘Probabilistic robotics,’’ 76 Commun.ACM,45,52-57 2002 M. W. M. G. Dissanayake, P. Newman, S. Clark, H. F. Durrant-Whyte, and M. Csorba ‘‘A solution to the simultaneous localization and map building (SLAM) problem,’’ Trans. Robot. Autom., vol. 17, no. 3, pp. 229-241, Jun 77 IEEE 2001 M. Pryor et al. ‘‘ROS-DOE: Leveraging open-source robotic software for the DOE-EM mission-17181,’’ in Proc. 43rd Waste Manage. Conf.,, p. 4855 78 2017 doi:10.5220/0006395802330238 G. Lunghi et al. ‘‘An RGB-D based augmented reality 3D reconstruction system for robotic environmental inspection of radioactive areas,’’ in Proc. 14th Int. Conf. Inform. Control, Automat. Robot.,, pp. 233-238 79 2017 A. Bicchi and V. Kumar ‘‘Robotic grasping and contact: A review,’’ in Proc. IEEE Int. Conf. ICRA, vol. 1, Apr., pp. 348-353 80 2000 M. R. Cutkosky Robotic Grasping and Fine Manipulation, vol. 6. New York, NY, USA: 81 Springer 2012 J. F. Henriques, R. Caseiro, P. Martins, and J. Batista ‘‘High-speed tracking with kernelized correlation filters,’’ 82 IEEE Trans.Pattern Anal.Machine Intell.,37,583-596 2015 P.-E. Danielsson ‘‘Euclidean distance mapping,’’ Comput. Graph. Image Process., vol. 14, no. 3, pp. 227-248 83 1980 M. Abadi et al. ‘‘TensorFlow: A system for large-scale machine learning,’’ in Proc. OSDI, vol. 16,, pp. 1-21 84 2016 Accessed: Mar. 15,. [Online]. Available: rfc5905 85 https://tools.ietf.org/html/ 2017 G.-S. Tian, Y.-C. Tian, and C. Fidge ‘‘High-precision relative clock synchronization using time stamp counters,’’ in Proc. 13th Int. Conf. Eng. Complex Comput. Syst. (ICECCS), Mar./Apr., pp. 69-78 86 IEEE 2008 G. Niemeyer and J.-J.-E. Slotine ‘‘Stable adaptive teleoperation,’’ J. Ocean Eng., vol. 16, no. 1, pp. 152-162, Jan 87 IEEE 1991 A. Haddadi, K. Razi, and K. Hashtrudi-Zaad ‘‘Operator dynamics consideration for less conservative coupled stability condition in bilateral teleoperation,’’ /ASME Trans. Mechatronics, vol. 20, no. 5, pp. 2463-2475, Oct 88 IEEE 2015 A. Suzuki and K. Ohnishi ‘‘Frequency-domain damping design for timedelayed bilateral teleoperation system based on modal space analysis,’’ Trans. Ind. Electron., vol. 60, no. 1, pp. 177-190, Jan 89 IEEE 2013 J. Silvério, Y. Huang, L. Rozo, and S. Calinon (Dec.). ‘‘A learning from demonstration approach fusing torque controllers.’’ [Online]. Available: 90 https://arxiv.org/abs/1712.07249 2017 I. Kostavelis and A. Gasteratos ‘‘Robots in crisis management: A survey,’’ in Proc. Int. Conf. Inf. Syst. Crisis Response Manage. Medit. Countries. Cham, Switzerland: pp. 43-56 91 Springer 2017 J. Guiochet, M. Machin, and H. Waeselynck ‘‘Safety-critical advanced robots: A survey,’’ Robot. Auto. Syst., vol. 94, pp. 43-52, Aug 92 2017 K. Hashtrudi-Zaad and S. E. Salcudean ‘‘Analysis of control architectures for teleoperation systems with impedance/admittance master and slave manipulators,’’ Int. J Robot. Res., vol. 20, no. 6, pp. 419-445 93 2001 W. Iida and K. Ohnishi ‘‘Reproducibility and operationality in bilateral teleoperation,’’ in Proc. 8th Int. Workshop Adv. Motion Control (AMC), Mar., pp. 217-222 94 IEEE 2004 A. Peer and M. Buss ‘‘Robust stability analysis of a bilateral teleoperation system using the parameter space approach,’’ in Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst. (IRO), Sep., pp. 2350-2356 95 2008 D. A. Lawrence ‘‘Stability and transparency in bilateral teleoperation,’’ Trans. Robot. Autom., vol. 9, no. 5, pp. 624-637, Oct.. VOLUME 6, 2018 37521 96 IEEE 1993 K. Hashtrudi-Zaad and S. E. Salcudean ‘‘Transparency in time-delayed systems and the effect of local force feedback for transparent teleoperation,’’ Trans. Robot. Autom., vol. 18, no. 1, pp. 108-114, Feb 97 IEEE 2002 F. Marcastel ‘‘CERN’s accelerator complex. La chaÃőne des accélérateurs du CERN,’’ CERN, Genève, Switzerland, Tech. Rep. OPEN-PHOCHART--001 98 2013 L. Ducimetière, U. Jansson, G. H. Schroder, E. B. Vossenberg, M. J. Barnes, and G. D. Wait ‘‘Design of the injection kicker magnet system for CERN’s 14 TeV proton collider LHC,’’ in 10th Int. Pulsed Power Conf. Dig. Tech. Papers, vol. 2, Jul., pp. 1406-1411 99 IEEE 1995 A. Kellerbauer ‘‘Proposed antimatter gravity measurement with an antihydrogen beam,’’ Nucl. Instrum. Methods Phys. Res. B Beam Interact. Mater. At., vol. 266, no. 3, pp. 351-356, 2008. MARIO DI CASTRO received the M.Sc degree in electronic engineering from the University of Naples Italy. Fromto 2011, he was with DESY in charge of advanced mechatronics solutions for synchrotron beamlines and industrial controls. Since 2011, he has been with CERN. Since 2018, he leads the Measurements, Robotics and Operation Section, Survey, Mechatronics and Measurements Group. The section is responsible for the design, installation, operation, and maintenance of control systems on different platforms (PLC, PXI, and VME) for all the equipment under the group’s responsibility, mainly movable devices characterized by few um positioning accuracy (e.g., scrapers, collimators, shielding, and target) in hard radioactive environment. Important section activities are the robotic support in hazardous environments for the whole CERN accelerators. His research interests are mainly focused on automatic controls, mechatronics, motion control in harsh environment, and robotics. MANUEL FERRE (M’00) received the Laurea degree in control engineering and electronics and the Ph.D. degree in automation and robotics from the Universidad Politécnica de Madrid (UPM), in 1992 and 1997, respectively. He was a Post- 100 Federico II 2007 2631342 SzGeCERN 20210421204503.0 oai:cds.cern.ch:2631342 cerncds:BOOK DOI 10.1177/0146645317728022 ebook eng 614.89 ICRP-136 Commission Internationale de Protection contre les Radiations Dose Coefficients for Non-human Biota Environmentally Exposed to Radiation Thousand Oaks, CA Sage 2017 136 p ebook SzGeCERN Health Physics and Radiation Effects BOOK 2 Ann. ICRP 46 389441 h 201829 21 https://catalogue.library.cern/legacy/2631342 BOOK MIGRATED 2631283 SzGeCERN 20210421204505.0 9781608079773 print version 9781630814441 electronic version electronic version oai:cds.cern.ch:2631283 cerncds:BOOK EBL 5430728 eng 621.381531 Thierauf, Stephen C High-speed circuit board signal integrity 2nd ed. Norwood Artech House 2017 321 p ebook Intro -- High-Speed Circuit Board Signal Integrity Second Edition -- Contents -- Preface to the Second Edition -- Chapter 1 Introduction to Circuit Board Signal Integrity -- 1.1 Introduction -- 1.2 Pulses in the Time Domain -- 1.3 Pulses in the Frequency Domain -- 1.3.1 Pulse Distortion -- 1.3.2 Line Spectra -- 1.3.3 Upper Bandwidth -- 1.3.4 How to Calculate the Spectra of Practical Pulses -- 1.4 Multilayer Circuit Boards -- 1.4.1 FR4 Resins -- 1.4.2 Variability in Building Stack-Ups -- 1.4.3 Alternate Resin Systems -- 1.5 Copper Foils and Traces -- 1.5.1 Surface Roughness and Resistivity -- 1.5.2 High-Frequency Considerations -- 1.6 Vias -- 1.6.1 Anti-Functional and Nonfunctional Pads -- 1.7 Surface Finishes and Solder Mask -- References -- Chapter 2 Circuit Board Resistance, Capacitance, and Inductance -- 2.1 Introduction -- 2.2 Resistivity and Resistance -- 2.2.1 Rule of Thumb for Finding the DC Resistance of a Trace -- 2.2.2 How Temperature Changes Resistance -- 2.3 Understanding Capacitance and the Dielectric Constant -- 2.3.1 The Dielectric Constant -- 2.3.2 Determining the Capacitance Between Two Planes -- 2.3.3 Finding the Capacitance of Stripline Traces -- 2.3.4 Finding the Capacitance of Microstrip Traces -- 2.3.5 Determining the Capacitance Present Between Traces -- 2.4 Understanding Inductance and Permeability -- 2.4.1 Permeability -- 2.4.2 Inductance -- 2.4.3 Partial Inductance -- 2.4.4 Circuit Behavior of Inductance -- 2.4.5 Inductive Voltage Drop -- 2.5 Determining the Inductance Present Between Traces -- 2.5.1 Using Mutual Inductance to Reduce Noise -- 2.5.2 How Mutual Inductance Can Increase the Total Loop Inductance -- 2.5.3 Finding the Inductance of a Wire Above a Return Plane -- 2.5.4 Finding the Inductance of Side-by-Side Wires -- 2.5.5 Finding the Inductance Between Power and Ground Planes. 2.5.6 Finding the Self-Inductance and Mutual Inductance of Microstrip -- 2.5.7 Finding the Self-Inductance and Mutual Inductance of Stripline -- References -- Chapter 3 Transmission Lines -- 3.1 Introduction -- 3.2 Circuit Model -- 3.3 Transmission-Line Impedance -- 3.3.1 The Impedance of a Lossless Transmission Line -- 3.4 Transmission-Line Delay and Time of Flight -- 3.4.1 Delay -- 3.4.2 How Delay Time Relates to Inductance and Capacitance -- 3.5 Reflections and Traveling Waves -- 3.5.1 Traveling Waves -- 3.5.2 Reflected Waves -- 3.5.3 Voltage Doubling -- 3.5.4 Reflections from the Near End -- 3.5.5 Multiple Reflections and Standing Waves -- 3.5.6 Reflections from Capacitors and Inductors -- 3.5.7 Rise Time and Frequency -- 3.5.8 Transmission-Line Rule of Thumb -- 3.6 Calculating Stripline Impedance -- 3.7 Calculating Microstrip Impedance -- 3.7.1 Impedance Equations for Bare Copper -- 3.7.2 Impedance Equations for Solder Mask-Covered Copper -- 3.8 Stripline Delay -- 3.9 Microstrip Delay -- 3.9.1 Bare Copper -- 3.9.2 Adjusting for Solder Mask -- 3.9.3 Important Observations -- References -- Chapter 4 Driving and Terminating Single-Ended Transmission Lines -- 4.1 CMOS Output Drivers -- 4.1.1 Types of Termination -- 4.2 How to Select Source Series Termination Resistor Rs -- 4.2.1 Estimating the Launched Voltage and Reflections -- 4.3 Lowering Load Impedance with Far-End Termination -- 4.3.1 Parallel Termination -- 4.3.2 Thevenin Termination -- 4.3.3 Connecting Rterm Directly to Vdd or Ground -- 4.4 How to Terminate Point-to-Point Interconnects -- 4.4.1 Fly-By Termination -- 4.5 How to Terminate Transmission Lines with Multiple Loads -- 4.5.1 Series Termination -- 4.5.2 Far-End Parallel and Thevenin Termination -- 4.6 How to Terminate Multidrop Lines -- 4.6.1 Series Termination When Signal Rise Time Is Very Short. 4.6.2 Far-End Termination When Signal Rise Time Is Very Short -- 4.6.3 Response When Signal Rise Time Is Comparable to the Transmission-Line Delays -- 4.6.4 Branches -- References -- Chapter 5 Losses in Transmission Lines -- 5.1 Introduction -- 5.2 How Signals Are Affected by Loss -- 5.3 How the Propagation Constant Determines Delay -- 5.4 Introducing Transmission-Line Losses and the Attenuation Constant -- 5.4.1 Using Decibels to Show Loss -- 5.4.2 Determining Transmission-Line Loss Without the Propagation Constant -- 5.5 Understanding Phase Shift, Wavelength, and Delay -- 5.5.1 How the Dielectric Constant Determines Wavelength -- 5.5.2 Delay -- 5.5.3 Transmission-Line Delay at High and Low Frequencies -- 5.6 Understanding Loop Resistance and the Skin and Proximity Effects -- 5.6.1 How the Skin Effect Increases Trace Resistance -- 5.6.2 Determining the Frequency Where Skin Effect Matters -- 5.6.3 Introducing the Proximity Effect -- 5.6.4 Two Types of Inductances: Internal and External -- 5.6.5 Using the DC Resistance to Find the High-Frequency Resistance -- 5.6.6 Determining the Resistance of the Return Path -- 5.6.7 Why Surface Roughness Causes Resistance to Increase -- 5.6.8 Differences in Conductor Losses Between Microstrips and Striplines -- 5.7 How Frequency Causes Dielectric Losses to Change -- 5.7.1 Understanding the Loss Tangent -- 5.7.2 Calculating Circuit Board Loss Tangent and Conductance -- 5.7.3 Calculating Dielectric Loss When Only the Loss Tangent Is Known -- 5.7.4 Environmental Effects on Laminate Dielectric Constant and Loss Tangent -- 5.8 Trade-Offs When Controlling the Total Loss Budget -- 5.8.1 How to Decide to Switch to a Low-Loss Laminate -- 5.9 Understanding the SPICE O, T, and W Transmission-Line Models at High Frequency -- 5.10 How to Determine Stripline and Microstrip Losses Without a Field Solver. 5.10.1 Calculating Dielectric Losses -- 5.10.2 Calculating Stripline Conductor Losses -- 5.10.3 Calculating Microstrip Conductor Losses -- References -- Chapter 6 Understanding Trace-to-Trace Coupling and Solving Crosstalk Problems -- 6.1 Introduction -- 6.2 Odd and Even Modes -- 6.2.1 Even Mode -- 6.2.2 Odd Mode -- 6.2.3 Using the Odd-Mode and Even-Mode Equations -- 6.2.4 How Spacing Affects the Odd and Even Modes -- 6.2.5 Stripline and Microstrip Switching Differences -- 6.3 Crosstalk -- 6.3.1 Coupled-Line Circuit Model -- 6.4 NEXT and FEXT Coupling Factors -- 6.4.1 Using Kb to Predict NEXT -- 6.4.2 Using Kf to Predict FEXT -- 6.5 Crosstalk Worked Example -- 6.5.1 How Well Do Calculations and Simulations Agree? -- 6.6 Practical Considerations -- 6.6.1 Measurements -- 6.7 Correcting Crosstalk -- 6.7.1 Ways to Reduce Coupling -- 6.7.2 Reducing Crosstalk with Termination -- 6.7.3 Circuit Fixes for Crosstalk -- 6.7.4 Debug Strategies -- References -- Chapter 7 Introduction to Differential Transmission Lines and Differential Signaling -- 7.1 Introduction -- 7.2 Differential Signals and Noise Rejection -- 7.3 Differential Impedance and Termination -- 7.3.1 How to Terminate Differential Lines with a Common-Mode Component -- 7.3.2 Rebiasing with a π Terminator -- 7.3.3 Tightly Versus Loosely Coupled Differential Pairs -- 7.3.4 Mode Conversion -- 7.4 Line Codes -- 7.4.1 PAM4 -- 7.5 Bit Rate and Data Rate -- 7.5.1 Nyquist Frequency -- 7.6 Block Codes Used in Serial Transmission -- 7.6.1 The 8b/10b Block Code -- 7.6.2 Signal Integrity Debug Use of K Characters -- 7.6.3 Block Code Overhead -- 7.7 Intersymbol Interference and Dispersion -- 7.7.1 Lone 1-Bit Pattern -- 7.8 Eye Diagrams -- 7.8.1 Bit Error Rate -- 7.9 Equalization and De-Emphasis -- 7.9.1 Gigabit Signaling De-Emphasis -- 7.9.2 Passive Equalizers -- 7.10 DC Blocking Capacitors. 7.10.1 How to Determine the Coupling Capacitor Value -- References -- Appendix 7A: Proving Zdiff = 2Z0o with Network Theory -- Chapter 8 Signal Return Paths and Decoupling -- 8.1 Introduction -- 8.2 Signal Return Paths -- 8.2.1 Return Paths When the Power Plane Is an Unrelated Voltage -- 8.2.2 Crossing Moats -- 8.2.3 Changing Layers -- 8.3 Decoupling Capacitance and Power Supply Impedance -- 8.3.1 Power Supply Noise Voltages and Resonances -- 8.3.2 Resonances -- 8.3.3 Multiple Resonances -- 8.3.4 Techniques for Taming Parallel Resonances -- 8.4 Layout Strategies to Reduce DCAP Interconnect Inductance -- 8.4.1 Use Wide Connecting Trace -- 8.4.2 Do Not Share Vias -- 8.4.3 Using Mutual Inductance Advantageously -- 8.4.4 Using Loss to Improve Resonance -- 8.5 Power/Ground Plane Impedance at High Frequency -- 8.5.1 Power Planes as a Transmission Line -- 8.5.2 Parallel Plane Modes -- 8.5.3 A Standing-Wave Approach -- 8.5.4 Using SPICE Transmission-Line Models to Find Resonances -- 8.5.5 Taming Modal Resonances -- 8.5.6 Embedded Capacitance -- 8.6 Decoupling in the Time Domain -- References -- Chapter 9 Ceramic Surface-Mount Capacitors -- 9.1 Introduction -- 9.2 Ceramic Capacitor Temperature Classification -- 9.2.1 How Class-I Capacitors Are Affected by Temperature -- 9.2.2 How Class-II Capacitors Are Affected by Temperature -- 9.3 MLCC Capacitor Body Size Coding -- 9.4 Circuit Model and Frequency Response -- 9.4.1 Capacitor Resonances -- 9.4.2 Practical Capacitor Model -- 9.5 Understanding the Details of ESL, ESR, and Insulation Resistance -- 9.5.1 How ESL Is Affected by Package Size -- 9.5.2 ESR and Dielectric Loss -- 9.5.3 Comparing ESR and ESL -- 9.5.4 Leakage Currents: Insulation Resistance -- 9.6 MLCC Capacitor Aging -- 9.7 Capacitance Change with DC Bias -- 9.8 Piezoelectric Effects -- 9.9 MLCC Usage Guidelines -- References. Chapter 10 Matrices and S-Parameters in Signal Integrity. EBL201807 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5430728 ebook n 201828 201807 21 PUBLIC https://catalogue.library.cern/legacy/2631283 BOOK MIGRATED 2631220 SzGeCERN 20180822202551.0 9781448801282 (electronic bk.) electronic version 9781435835696 electronic version EBL 5424936 eng TJ808.B74 2010 621.042 Brezina, Corona Jobs in sustainable energy New York, NY Rosen Publishing Group 2010 82 p Green careers Cover -- Title -- Copyright -- CONTENTS -- Introduction -- Chapter One Solar Energy -- Jobs in Research and Development -- Engineering the Future -- First Solar -- Becoming an Engineer -- Becoming a Solar Installer -- Chapter Two Wind Energy -- Scientists, Researchers, and Engineers -- Assessors: Scouting Out the Site -- Environmental Engineers -- Becoming a Wind Project Developer -- Manufacturing and Technical Jobs -- Chapter Three Geothermal Energy, Hydropower, and Biofuels -- Geothermal Energy -- Being an Electrician -- Geothermal Energy Jobs -- Scientists and Engineers -- Building Geothermal Power Plants -- HVAC Engineers -- The Environmental Impact of Hydroelectric Power -- Jobs in Hydropower -- Future Careers in Hydropower -- Jobs in Biomass Energy -- Farmers and Agricultural Engineers -- Chapter Four Sustainable Energy and Transportation -- New Automobile Technologies, New Careers -- Advanced Batteries -- Transportation Goes Green -- Hydrogen Fuel Cells -- Chapter Five Related Careers in Sustainable Energy -- Energy Management -- Profile: Steven Chu, Secretary of Energy -- Creating a Smart Electric Grid -- Another Look at Fossil Fuels -- Supporting Sustainable Energy -- Nonprofit Careers -- Teaching -- Glossary -- For More Information -- Web Sites -- For Further Reading -- Bibliography -- Index -- About the Author -- Photo Credits. 9781435835696 print version oai:cds.cern.ch:2631220 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5424936 ebook ebook EBL201807 Engineering SzGeCERN BOOK n 201828 21 PUBLIC BOOK DELETED 2631219 SzGeCERN 20210421204509.0 9780128134474 print version 9780128136119 electronic version electronic version oai:cds.cern.ch:2631219 cerncds:BOOK EBL 5420085 eng QD382.P64 .S834 2018 541.372 Selvakumar, M D Allen Biopolymer electrolytes fundamentals and applications in supercapacitors San Diego, CA Elsevier 2018 194 p ebook Front Cover -- Biopolymer Electrolytes: Fundamentals and Applications in Energy Storage -- Copyright -- Contents -- Chapter 1: An introduction of Biopolymer Electrolytes -- Chapter Outline -- 1.1. Biodegradable Polymers/Biopolymers -- (A) Biodegradable -- (B) Compostable -- (C) Hydrobiodegradable and (D) Photobiodegradable -- (E) Bioerodable -- 1.1.1. Common Biopolymers -- 1.1.2. Opportunity -- 1.2. Polymer Electrolytes -- 1.3. Biopolymer Electrolytes -- 1.4. Classification of Biopolymer Electrolytes -- 1.5. Dopants -- 1.5.1. Lithium Salts as Dopants in Biopolymer Electrolytes -- 1.5.2. Acids as Dopants in Biopolymer Electrolytes -- 1.5.3. Alkaline Dopants in Polymer Electrolytes -- 1.5.4. Plasticizing Salts/Ionic Liquids -- 1.6. Solid Biopolymer Electrolytes (SBPE) -- 1.6.1. Polymer Dissolution -- 1.6.2. Movements of Ions in SPE -- 1.6.3. Proton Conduction Mechanisms -- 1.6.4. Dependence of Cation Mobility on the Relative Molar Mass of the Polymer Host -- 1.7. Blend Biopolymer Electrolytes (BBPE) -- 1.7.1. Introduction of BBPE -- 1.7.1.1. Preparation of Polymer Blends -- 1.7.2. Miscibility and Thermodynamic Relationships of Biopolymer Blends -- 1.7.3. Interaction Parameter (χ) -- 1.7.3.1. Polymer-Polymer and Polymer Blend-Solvent Interactions -- 1.8. Gel Biopolymer Electrolytes (GBPE) -- 1.8.1. Introduction of GBPE -- 1.8.2. Sol-Gel (Gelation) -- 1.8.3. Conductivity -- 1.9. Hydrogel Biopolymer Electrolytes (HBPE) -- 1.9.1. Introduction of HBPE -- 1.9.2. Mechanism for the Formation of Hydrogel -- 1.10. Composite Biopolymer Electrolytes (CBPE) -- 1.11. Comparison of Solid, Blend, and Gel Biopolymer Electrolytes -- 1.11.1. Solid Biopolymer Electrolyte -- 1.11.2. Blend Biopolymer Electrolytes -- 1.11.3. Gel Biopolymer Electrolytes -- References -- Chapter 2: Methods of Preparation of Biopolymer Electrolytes -- Chapter Outline. 2.1. Solid Biopolymer Electrolyte (SBPE) -- 2.1.1. Polymer Hosts -- 2.1.1.1. Starch -- 2.1.1.2. Poly(Vinylpyrrolidone) (PVP) -- 2.1.1.3. Poly(Ethylene Glycol) (PEG) -- 2.1.1.4. Cellulose Acetate (CA) -- 2.1.1.5. Poly(Vinyl Alcohol) (PVA) -- 2.1.1.6. Chitosan -- 2.1.1.7. Poly(Styrenesulphonic Acid) (PSSA) -- 2.1.2. Transport Properties -- 2.1.2.1. Ion-Ion Interactions -- 2.1.3. Solution Casting Method -- 2.1.4. Melt Casting Method -- 2.1.5. Plasma Polymerization Method -- 2.2. Blend Biopolymer Electrolyte (BBPE) -- 2.2.1. BBPE Host -- 2.2.2. Solution Casting Method -- 2.2.3. Spin Coating -- 2.2.4. Hot Press -- 2.2.5. Aspects of Conductivity in BBPE -- 2.3. Gel Biopolymer Electrolyte (GBPE) and Hydrogel Biopolymer Electrolyte (HBPE) -- 2.3.1. Casting Method -- 2.3.2. Phase Inversion Method -- 2.3.3. Electrospinning -- 2.3.4. Sol-Gel Process -- 2.3.5. Hydrogel Biopolymer Electrolyte (HBPE) -- 2.3.6. Bulk Polymerization -- 2.3.7. Solution Polymerization/Cross-Linking -- 2.3.8. Suspension Polymerization -- 2.3.9. Grafting to a Support -- 2.3.10. Polymerization by Irradiation -- 2.3.11. Technical Features of Hydrogel -- 2.4. Composite Biopolymer Electrolytes (CBPE) -- 2.4.1. Polymer Blending Method -- 2.4.2. Cross-Linking of Polymer Matrices -- 2.4.3. Incorporation of Additives and Plasticizers -- 2.4.4. Doping With Nanomaterials -- 2.4.5. Impregnation With Ionic Liquids -- 2.4.6. Reinforcement by Inorganic Fillers -- References -- Chapter 3: Biopolymer Electrolyte for Supercapacitor -- Chapter Outline -- 3.1. Introduction of Electrochemical Capacitor (Supercapacitor) -- 3.1.1. Taxonomy of Supercapacitors -- 3.1.2. Brief Evolution of Capacitor to Supercapacitor -- 3.1.2.1. First-Generation Capacitors From Condensers -- 3.1.2.2. Second-Generation Electrolytic Capacitors -- 3.1.2.3. Third-Generation Electrochemical Double-Layer Capacitors -- 3.2. Principle. 3.2.1. Formation of the Electrical Double Layer -- 3.2.2. Stern Theory of the Double Layer -- 3.2.3. Mechanism -- 3.3. Electrode Material -- 3.3.1. Double-Layer Capacitance-Based Materials -- 3.3.1.1. Activated Carbon (AC) as Electrode Material -- 3.3.1.2. Graphene as an Electrode Material -- 3.3.2. Pseudocapacitance-Based Material -- 3.3.2.1. Conducting Polymers (CP) -- Mechanism -- 3.3.2.2. Metal Oxides -- RuO2/Polymer-Based Electrodes -- Measurements -- Dielectric Constants -- Cyclic Voltammetry -- Galvanostatic Charge-Discharge Studies (GCD) -- 3.3.3. Advantages -- 3.3.4. Challenges for EDLC -- 3.3.5. Applications of EDLC -- 3.4. Electrolytes -- 3.4.1. Blend Biopolymer (BBPE) Electrolytes as a Supercapacitor -- 3.4.2. Gel Biopolymer (GBPE) Electrolytes as a Supercapacitor -- 3.4.3. Solid Biopolymer (SBPE) Electrolytes as a Supercapacitor -- 3.5. Conclusion -- References -- Chapter 4: Biopolymer Electrolytes for Solar Cells and Electrochemical Cells -- Chapter Outline -- 4.1. Photons in, Electrons out: The Photovoltaic Effect -- 4.2. Need of the Solar Cell -- 4.3. History of the Solar Cell -- 4.4. Types of Solar Cells -- 4.5. Operating Principle of the Organic Photovoltaic Cell (OPV) -- 4.6. Electrode Materials Used in Solar Cells -- 4.7. Electrolytes in Dye-Sensitized Solar Cells -- 4.8. Transport Mechanism of Electrolytes in Solar Cells (DSSC) -- 4.9. Electrolyte Material Used in Solar Cells -- 4.9.1. Liquid Electrolytes -- 4.9.2. Organic Solvents -- 4.9.3. Ionic Liquids -- 4.9.4. Quasisolid-State Electrolytes -- 4.9.5. Thermoplastic Polymer Electrolytes -- 4.9.6. Thermosetting Polymer Electrolytes -- 4.9.7. Composite Polymer Electrolytes -- 4.9.8. Blend Biopolymer Electrolytes (BBPE) for DSSC -- 4.10. Fabrication of Solid-State DSSC Device -- 4.10.1. Polymer-Salt Interaction and its Conductivity Studies. 4.10.2. Composite Biopolymer Electrolytes (CBPE) for DSSC -- 4.10.2.1. Preparation of the Nanocomposite Electrolytes -- 4.10.2.2. Fabrication of DSSC Based on Composite Electrolytes -- 4.10.2.3. DSSC Performances Based on Composite Electrolytes -- 4.10.3. GEL Biopolymer Electrolytes (GBPE) for DSSC -- 4.10.4. Solid Bopolymer Electrolytes (SBPE) for DSSC -- 4.10.4.1. Agarose/Agar -- 4.10.4.2. Carrageenan -- 4.10.4.3. Alginate -- 4.10.4.4. Pectin -- 4.10.4.5. Cellulose -- 4.10.4.6. Plant Seeds, Plant Tubers, Root and Cereal Starch -- 4.10.4.7. Chitin and Chitosan -- 4.10.4.8. Gum Arabic -- 4.10.4.9. Gum Tragacanth -- 4.10.4.10. Gellan Gum -- 4.10.4.11. Carboxymethyl Cellulose (CMC) -- 4.10.5. Introduction to Battery -- 4.10.6. E.M.F. and Resistance -- 4.10.7. Quantity of Electricity and Electrical Energy -- 4.10.8. Electrolytic Conduction -- 4.10.9. Faraday's Laws of Electrolysis -- 4.10.9.1. Faraday's First Law -- 4.10.9.2. Faraday's Second Law -- 4.10.9.3. Significance of Faraday (F) -- 4.10.10. Electrode Potential -- 4.10.10.1. Electrode Potential -- 4.10.10.2. Single Electrode Potential -- 4.10.11. Basic Term of Batteries -- 4.10.12. Need for Biopolymer Electrolytes in Batteries -- 4.10.13. Performance Requirements and Ion Transfer Mechanisms -- 4.10.14. Ion Transfer Mechanism -- 4.10.15. Solid Biopolymer Electrolytes (SBPE) for Batteries -- 4.10.15.1. Fabrication of a Battery -- 4.10.16. Biopolymer Material-Based Carboxymethyl Cellulose in a Rechargeable Proton Battery -- 4.10.16.1. Conduction Mechanism of CMC -- 4.10.16.2. Carboxymethyl Carrageenan-Based Biopolymer Electrolytes -- 4.10.17. Blend Biopolymer Electrolytes (BBPE) for Batteries -- 4.10.17.1. Starch-Chitosan-Based Biopolymer Electrolytes for Proton Batteries -- 4.10.17.2. Electrolytes Preparation -- 4.10.17.3. Transference Number for Biopolymer Electrolyte. 4.10.17.4. Chitosan-PEO Blend Polymer Electrolyte for Proton Batteries -- 4.10.17.5. Chitosan-PVA Blend Polymer Electrolyte for Proton Batteries -- 4.10.18. Gel Biopolymer Electrolytes (GBPE) for Batteries -- 4.10.18.1. Xanthan and k-Carrageenan Gels -- 4.10.18.2. Preparation of Gel Biopolymer Electrolytes and Their Characterization Studies -- 4.10.18.3. Lignin Acts as a Gel Polymer Electrolyte -- 4.10.18.4. Preparation of Lignin-Based Electrolytes -- 4.10.18.5. Carboxymethyl Cellulose -- 4.10.18.6. Preparation of Carboxymethyl Cellulose -- References -- Chapter 5: Biopolymer Electrolytes for Fuel Cell Applications -- Chapter Outline -- 5.1. Introduction -- 5.2. Operating Principle of Fuel Cells -- 5.3. Importance of Fuel Cells -- 5.4. Membranes Used in Fuel Cells -- 5.5. Classification of Fuel Cells -- 5.5.1. Alkaline Fuel Cell (AFC) -- 5.5.2. Molten Carbonate Fuel Cell (MCFC) -- 5.5.3. Phosphoric Acid Fuel Cell (PAFC) -- 5.5.4. Proton Exchange Membrane Fuel Cell (PEMFC) -- 5.5.5. Direct Methanol Fuel Cell (DMFC) -- 5.5.6. Solid Oxide Fuel Cell (SOFC) -- 5.5.7. Biofuel Cell -- 5.6. Challenges in Fuel Cell Technology -- 5.7. Biopolymer Electrolytes for Fuel Cell Applications -- 5.8. Conclusion -- References -- Chapter 6: Biopolymer Degradation -- Chapter Outline -- 6.1. Introduction -- 6.2. Mode of Biodegradation [10] -- 6.2.1. Fungi -- 6.2.2. Bacteria -- 6.2.3. Enzymes -- 6.3. Test Methods and Standards for the Biopolymer Electrolyte -- 6.3.1. Modified Strum Test -- 6.3.2. Closed Bottle Test -- 6.3.3. Petri Dish Screening Test -- 6.3.4. Environmental Chamber Method -- 6.3.5. Soil Burial Test -- 6.3.6. Activated Sludge Method -- 6.4. SEM Analysis -- References -- Index -- Back Cover. EBL201807 Chemical Physics and Chemistry SzGeCERN EBL Biopolymers EBL Electrochemistry EBL Electrolytes BOOK Bhat, D Krishna https://cds.cern.ch/auth.py?r=EBLIB_P_5420085 ebook n 201828 201807 21 PUBLIC https://catalogue.library.cern/legacy/2631219 BOOK MIGRATED 2631218 SzGeCERN 20210421204509.0 9780128148914 print version 9780128148921 electronic version electronic version oai:cds.cern.ch:2631218 cerncds:BOOK EBL 5419752 eng TK3105 .O647 2018 621.31 Zare, Kazem Operation of distributed energy resources in smart distribution networks San Diego, CA Elsevier Science & Technology 2018 424 p ebook Front Cover -- Operation of Distributed Energy Resources in Smart Distribution Networks -- Copyright Page -- Dedication -- Contents -- List of Contributors -- Preface -- 1 Definition of Smart Distribution Networks -- 1.1 Introduction to Smart Grid Paradigm -- 1.1.1 The Transition From Passive to Active Networks -- 1.1.2 Challenges in Smart Distribution Network Implementation -- 1.1.3 Observability and Controllability of Smart Distribution Networks -- 1.2 Microgrids, Nanogrids, and Virtual Power Plants in Distribution Networks -- 1.2.1 Microgrids -- 1.2.2 Nanogrids -- 1.2.3 Virtual Power Plants -- 1.2.4 Smart Distribution Networks With Multimicrogrids Reorganization -- 1.3 Conclusion -- References -- Further Reading -- 2 Impact of Renewable Energy Sources and Energy Storage Technologies on the Operation and Planning of Smart Distribution Ne... -- 2.1 Introduction -- 2.2 Impact of Distributed Energy Resources on Distribution Networks -- 2.2.1 Transition From Passive to Active Distribution Networks -- 2.2.2 Modeling of Renewable Output Power in Smart Distribution Networks -- 2.2.2.1 Photovoltaic Generators Modelling -- 2.2.2.2 Wind Generation Modeling -- 2.2.3 Critical Operation of Distribution Networks With High Penetration of Renewable Sources -- 2.3 Use of Distribution Energy Storage for the Integration of Renewable Energy Sources -- 2.3.1 Smart Distribution Networks and Energy Storage Systems -- 2.3.2 ESS Overview -- 2.3.3 Use of Distributed ESS in a Low Voltage Distribution Network -- 2.4 Planning Approaches for Integrating High Shares of Renewable Energy Sources -- 2.4.1 Distribution Network Planning and Operation With Smart Grids -- 2.4.2 Optimal Network Topology for RES Integration-Meshed or Radial? -- 2.4.3 Flexible Network Reconfiguration -- 2.4.4 Management of Uncertainties and Risk With a Probabilistic Approach. 2.4.5 Energy Losses Reduction -- 2.4.6 Ageing -- 2.5 Conclusion -- References -- 3 Demand Response Enabled Optimal Energy Management of Networked Microgrids for Resilience Enhancement -- 3.1 Introduction -- 3.2 Applied Strategies to Enhance the Resilience of Microgrids -- 3.2.1 Energy Management System in Proposed Networked Microgrids Structure -- 3.2.2 Demand Response Programs -- 3.3 Problem Formulation -- 3.3.1 Distributed Energy Resources -- 3.3.2 Load Demand -- 3.3.3 Battery Modeling -- 3.3.4 Transaction of Power Among the MGs -- 3.4 Objective Function -- 3.4.1 Normal Operation Mode -- 3.4.2 Emergency Operation Mode -- 3.4.3 Resilience Index -- 3.4.4 Optimization Procedure -- 3.5 Numerical Results -- 3.6 Conclusion -- References -- 4 The Use of Hybrid Neural Networks, Wavelet Transform and Heuristic Algorithm of WIPSO in Smart Grids to Improve Short-Ter... -- 4.1 Introduction -- 4.2 Hybrid Neural Network -- 4.3 Particle Swarm Optimization Algorithm -- 4.4 Data Selection -- 4.5 Preparation of Data -- 4.5.1 Wavelet Transform -- 4.5.2 Normalization -- 4.6 Evaluation Criterion for the Obtained Results -- 4.7 Prediction Motor -- 4.8 Simulation -- 4.9 Conclusion -- References -- Appendix: Terms and definitions -- 5 Impact of Distributed Energy Resource Penetrations on Smart Grid Adaptive Energy Conservation and Optimization Solutions -- 5.1 Introduction -- 5.2 Advanced Smart Grid Adaptive Energy Conservation and Optimization Solutions -- 5.2.1 The Roles of Smart Microgrid Functionalities on Energy Conservation and Optimization Techniques -- 5.2.1.1 Conservation Voltage Reduction -- 5.2.1.2 Volt-VAr Optimization -- 5.2.1.3 Advanced Metering Infrastructure -- 5.2.2 Smart Microgrid Command and Control Topologies -- 5.2.2.1 Real-time Command and Control Topologies -- 5.2.2.2 Communication Platform Protocols. 5.2.3 Main Objectives and Constraints of Advanced Energy Conservation and Optimization Techniques -- 5.2.3.1 Main Objective Function -- 5.2.3.2 Constraints -- 5.3 Distributed Energy Resource Penetrations in Smart Grids -- 5.3.1 Renewable Resource Penetrations -- 5.3.1.1 Photovoltaics/μ-CHPs -- 5.3.1.2 Community Energy Storage Systems -- 5.3.2 Electric Vehicle Penetration -- 5.4 Impact of DER Penetration on Proposed Smart Grid Adaptive Energy Conservation & Optimization -- 5.4.1 Proposed Smart Grid-based Energy Conservation and Optimization Engine -- 5.4.2 Case Study: Data and Simulations -- 5.4.3 Result Analysis and Further Discussions -- 5.5 Conclusion -- References -- Further Reading -- 6 Short-term Scheduling of Future Distribution Network in High Penetration of Electric Vehicles in Deregulated Energy Market -- 6.1 Introduction -- 6.1.1 Problem Definition -- 6.1.2 Literature Review -- 6.1.3 Procedure and Contributions -- 6.1.4 Chapter Organization -- 6.2 Problem Formulation -- 6.2.1 Objective Function -- 6.2.2 Constraints and Mathematical Modeling -- 6.2.2.1 Power Flow Constraints -- 6.2.2.2 Distribution Network Constraints -- 6.2.2.3 DG Unit Constraints -- 6.2.2.4 Wind Turbine Model -- 6.2.2.5 Demand Response Model -- 6.2.2.6 Plug-In Electrical Vehicle model -- 6.3 Case Studies and Numerical Results -- 6.3.1 System Data -- 6.3.2 Effectiveness of Proposed Method -- 6.3.2.1 Case 1: Without the Presence of PEVs -- 6.3.2.2 Case 2: In the Presence of PEVs -- 6.4 Conclusion -- References -- 7 Application of Load Shifting Programs in Next Day Operation of Distribution Networks -- 7.1 Introduction -- 7.1.1 Problem Definition -- 7.1.2 Literature Review -- 7.1.3 Procedure -- 7.1.4 Contributions -- 7.1.5 Chapter Organization -- 7.2 Problem Formulation -- 7.2.1 Objective Function -- 7.2.2 Constraints and Mathematical Formulation. 7.2.2.1 Power Flow Constraints -- 7.2.2.2 Distribution Network Constraints -- 7.2.2.3 Battery Energy Storage System -- 7.2.2.4 DG Unit Constraints -- 7.2.2.5 Wind Turbine Model -- 7.2.2.6 Demand Response Model -- 7.3 Case Studies and Numerical Results -- 7.3.1 System Data -- 7.3.2 Effectiveness of Proposed Method -- 7.4 Conclusion -- References -- 8 Impacts of Solar Parks and Wind Farms on Controlled Islanding of Radial Distribution Networks -- 8.1 Literature Review -- 8.2 Problem Formulation -- 8.2.1 Islanding Search Algorithm -- 8.2.2 Objective Function and Constraints -- 8.2.3 Wind Production Uncertainty -- 8.2.4 Solar Photovoltaic Cells -- 8.3 Simulation Result and Discussions -- 8.4 Conclusion -- References -- 9 Reliability-Based Scheduling of Active Distribution System With the Integration of Wind Power Generation -- 9.1 Introduction -- 9.2 Distribution Network Configuration -- 9.2.1 Active Distribution Network -- 9.2.2 The Hybrid System -- 9.3 Reliability Models for the Wind System and ESS -- 9.3.1 Reliability Model for the WT, AC/DC Rectifier, and DC/AC Converter System -- 9.3.2 Reliability Model for Battery, Battery Controller/Charger and Inverter System -- 9.4 Mathematical Formulation -- 9.4.1 Uncertainty Parameters Modeling -- 9.4.2 Load and Electricity Price Modeling -- 9.4.3 Wind System -- 9.4.4 Objective Function -- 9.4.5 Constraints and Optimal Power Flow Equations -- 9.5 Test System Data and Assumptions -- 9.6 Simulation Results -- 9.7 Conclusion -- References -- 10 Calculation of the Participants' Loss Share in the Advanced Distribution Network -- 10.1 Introduction -- 10.2 The Proposed Loss Allocation Approach -- 10.2.1 Determination of the Participant's Effect on Each Network's Branch Loss -- 10.2.2 Calculation of the Participants' Loss Share -- 10.3 Simulation and Results -- 10.4 Conclusion -- Appendix -- References. 11 Multi-objective Modeling and Optimization for DG-Owner and Distribution Network Operator in Smart Distribution Networks -- 11.1 Introduction -- 11.2 Multi-Objective Programming -- 11.2.1 General Formulation of Multi-Objective Problem -- 11.3 Objective Functions in the Smart Distribution Network Planning -- 11.3.1 Probabilistic Network Calculation -- 11.3.2 Network Upgrading -- 11.3.3 Energy Losses -- 11.3.4 Continuity of Supply -- 11.3.5 Cost of Energy -- 11.3.6 Voltage Profile -- 11.3.7 Environmental Impact of DG -- 11.4 Classical MO Optimization Methods: ε-Constrained Method and Weighted-Sum Approach -- 11.5 MO Evolutionary Algorithms: NSGA-II -- 11.5.1 NSGA-II description -- 11.5.2 Advanced Multi-objective Methods and Decision-making Techniques -- 11.6 Smart Distribution System Optimization Example: The Optimal DG Sizing and Siting Problem -- 11.6.1 Problem Description -- 11.6.2 Solution Coding -- 11.6.3 ε-Constrained Method-Application Example -- 11.6.4 NSGA-II Approach--Application Example -- 11.7 Conclusion -- References -- 12 Demand Response and Line Limit Effects on Mesh Distribution Network's Pricing -- 12.1 Introduction -- 12.1.1 Literature Review -- 12.1.2 Procedure and Contribution -- 12.1.3 Paper Organization -- 12.2 Problem Formulation -- 12.2.1 Upper Level -- 12.2.2 Lower Level -- 12.2.3 MPEC Model -- 12.3 Case Study -- 12.3.1 Data -- 12.3.2 Simulation Results With and Without DG and IL -- 12.3.3 Simulation Results With and Without Transmission Limits -- 12.4 Conclusion -- References -- 13 Energy Management Systems for Hybrid AC/DC Microgrids: Challenges and Opportunities -- 13.1 Introduction -- 13.2 Control Topologies for Hybrid AC/DC Microgrids -- 13.3 Isolated Microgrid Architectures -- 13.3.1 Isolated Microgrid with AC Bus -- 13.3.2 Isolated Microgrid with DC Bus. 13.3.3 Isolated Microgrid with DC Bus and Bi-Directional Inverter. EBL201807 Engineering SzGeCERN EBL Electric power distribution-Energy conservation EBL Renewable energy sources BOOK Nojavan, Sayyad https://cds.cern.ch/auth.py?r=EBLIB_P_5419752 ebook n 201828 201807 21 PUBLIC https://catalogue.library.cern/legacy/2631218 BOOK MIGRATED 2631216 SzGeCERN 20210421204509.0 9781783302796 print version 9781783302802 electronic version electronic version oai:cds.cern.ch:2631216 cerncds:BOOK EBL 5419702 eng 025.04 Cox, Andrew Exploring research data management London Facet Publishing 2018 208 p ebook Intro -- Title page -- Contents -- List of tables and figures -- Chapter 1: Introducing research data management -- Chapter 2: The social worlds of research -- Chapter 3: What are research data? -- Chapter 4: Case study of RDM in an environmental engineering science project -- Chapter 5: RDM drivers and barriers -- Chapter 6: RDM as a wicked challenge -- Chapter 7: Research data services -- Chapter 8: Staffing a research data service -- Chapter 9: Requirements gathering for a research data service -- Chapter 10: Institutional policy and the business case for research data services -- Chapter 11: Support and advice for RDM -- Chapter 12: Practical data management -- Chapter 13: Data management planning -- Chapter 14: Advocacy for data management and sharing -- Chapter 15: Training researchers and data literacy -- Chapter 16: Infrastructure for research data storage and preservation -- Chapter 17: Evaluation of RDS -- Chapter 18: Ethics and research data services -- Chapter 19: A day in the life working in an RDS -- Chapter 20: Conclusion: the skills and mindset to succeed in RDM -- Index. Exploring Research Data Management provides an introduction to RDM for librarians and other support professionals. EBL201807 Information Transfer and Management SzGeCERN BOOK Verbaan, Eddy https://cds.cern.ch/auth.py?r=EBLIB_P_5419702 ebook n 201828 201807 21 PUBLIC https://catalogue.library.cern/legacy/2631216 BOOK MIGRATED 2631211 SzGeCERN 20210421204510.0 9780128136416 print version 9780128136423 electronic version electronic version oai:cds.cern.ch:2631211 cerncds:BOOK EBL 5409195 eng QD453 .P497 2018 541 Faust, Jennifer A Chemical dynamics at gas-liquid interfaces San Diego, CA Elsevier 2018 492 p ebook Developments in physical and theoretical chemistry Front Cover -- Physical Chemistry of Gas-Liquid Interfaces -- Developments in Physical & Theoretical Chemistry -- Physical Chemistry of Gas-Liquid Interfaces -- Copyright -- Contents -- List of Contributors -- Foreword -- REFERENCES -- 1 - Molecular Perspective of Gas-Liquid Interfaces: What Can Be Learned From Theoretical Simulations? -- 1. INTRODUCTION -- 2. COMPUTATIONAL METHODOLOGIES -- 2.1 FORCE FIELDS -- 2.2 SIMULATION TECHNIQUES -- 3. INTERFACIAL PROPERTIES AT NEAT LIQUID INTERFACES -- 3.1 THERMODYNAMIC PROPERTIES -- 3.2 DENSITY DISTRIBUTIONS -- 3.3 ORIENTATIONS AND LOCAL STRUCTURES -- 3.4 DYNAMICAL PROPERTIES -- 4. ADSORPTION AND MASS TRANSPORT ACROSS INTERFACES -- 4.1 SOLUTE DISTRIBUTION AND EQUILIBRIUM SOLVATION -- 4.2 CHEMICAL REACTIONS AT LIQUID INTERFACES -- 4.3 FREE ENERGY OF MASS TRANSPORT -- 5. CONCLUSIONS AND OUTLOOK -- REFERENCES -- 2 - Molecular Simulations of Volatile Organic Interfaces -- 1. ORGANIC LIQUID-VAPOR INTERFACES -- 2. ACHIEVING MOLECULAR RESOLUTION WITH COMPUTATIONAL METHODS -- 2.1 THE COMPUTATIONAL MICROSCOPE -- 2.2 MOLECULAR DYNAMICS SIMULATIONS -- 2.3 STANDARD PRACTICE AND DEFINITIONS -- 2.3.1 Building the Liquid-Vapor Interface -- 2.3.2 Defining the Interface -- 2.3.2.1 Gibbs Dividing Surface -- 2.3.2.2 Instantaneous Interface -- 2.3.3 Selvage Region -- 2.4 COMPUTATIONAL METHODS EMPLOYED IN THIS WORK -- 2.4.1 Molecular Dynamics Parameters and Protocol -- 2.4.2 Analysis -- 3. RESULTS AND DISCUSSION -- 3.1 DENSITY AND ENERGY PROFILES -- 3.2 RADIAL DISTRIBUTION FUNCTIONS -- 3.3 FLUCTUATION OF THE INSTANTANEOUS INTERFACE -- 3.4 BENZENE RING STACKING IS UNAFFECTED BY PROXIMITY TO THE INTERFACE -- 3.5 DIFFUSION -- 4. CONCLUSIONS AND OPPORTUNITIES FOR FUTURE WORK -- ACKNOWLEDGMENTS -- REFERENCES -- 3 - Fluctuations and Adsorption at Liquid-Vapor Interfaces -- 1. INTRODUCTION -- 2. INTERFACIAL FLUCTUATIONS. 2.1 DENSITY-DENSITY CORRELATIONS -- 2.2 DENSITY-DENSITY CORRELATIONS AT LIQUID-VAPOR INTERFACES -- 2.3 LOCAL COMPRESSIBILITY -- 2.4 SURFACE WAVES -- 3. THERMODYNAMICS OF ADSORPTION -- 3.1 IMPORTANT ASSUMPTIONS -- 3.2 FREE ENERGY CHANGE -- 3.3 THE FLUCTUATION PART OF FREE ENERGY CHANGE -- 3.4 SOLUTE-INDUCED CHANGES -- 4. QUANTIFYING THE ROLE OF INTERFACIAL FLUCTUATIONS IN ADSORPTION -- 4.1 RIGOROUS APPROACH -- 4.2 INDIRECT APPROACH -- 4.3 DEPENDENCE ON INTERMOLECULAR INTERACTIONS -- 4.4 IMPORTANCE OF UNDERSTANDING THE ROLE OF INTERFACIAL FLUCTUATIONS IN ADSORPTION -- 5. CONCLUDING REMARKS -- ACKNOWLEDGMENTS -- REFERENCES -- 4 - Ionization of Surfactants at the Air-Water Interface -- 1. BACKGROUND -- 1.1 IONIC SURFACTANTS AND APPLICATIONS -- 1.2 IONIC STRUCTURE OF COUNTERIONS NEAR THE AIR-WATER INTERFACE -- 1.3 IONIZATION OF SURFACTANTS -- 2. EXPERIMENTAL METHODS -- 2.1 EQUILIBRIUM CONSTANT OF IONIZATION -- 2.2 SURFACE TENSION -- 2.3 NEUTRON REFLECTOMETRY -- 2.4 SURFACTANT-INDUCED CHANGE IN SURFACE POTENTIAL -- 2.5 OTHER METHODS -- 2.6 SUMMARY -- 3. THEORETICAL MODELING -- 3.1 IONIC BINDING -- 3.2 REACTION EQUILIBRIUM -- 3.3 THERMODYNAMIC EQUILIBRIUM -- 3.4 COMPARISON AMONG THE THREE METHODS -- 4. COUPLED IONIZATION/ADSORPTION PHENOMENA AT THE MOLECULAR LEVEL -- 4.1 ARRANGEMENT OF WATER MOLECULES AT THE SURFACE -- 4.2 HYDRONIUM IONS -- 4.3 HYDROPHILICITY OF IONIC STATES -- 4.4 INFLUENCE OF THE SURFACTANT TAIL -- 5. CONCLUSIONS -- ACKNOWLEDGMENTS -- REFERENCES -- 5 - Vibrational Spectroscopy of Gas-Liquid Interfaces -- 1. WHAT DOES VIBRATIONAL SPECTROSCOPY MEASURE? -- 2. BULK VERSUS INTERFACE -- 3. VIBRATIONAL SPECTROSCOPY OF LIQUID SURFACES -- 4. INFRARED AND RAMAN SPECTROSCOPY -- 5. NONLINEAR VIBRATIONAL SPECTROSCOPY -- 6. SAMPLING MODES OF AIR-LIQUID SURFACES -- 7. APPLICATIONS FOR VIBRATIONAL SPECTROSCOPY AT GAS-LIQUID INTERFACES. 8. INFRARED REFLECTION-ABSORPTION SPECTROSCOPY -- 9. GLANCING-ANGLE RAMAN SPECTROSCOPY -- 10. VIBRATIONAL SUM-FREQUENCY GENERATION -- 11. SUMMARY AND FUTURE OUTLOOK -- REFERENCES -- 6 - X-Ray Excited Electron Spectroscopy to Study Gas-Liquid Interfaces of Atmospheric Relevance -- 1. INTRODUCTION -- 2. INTRODUCTION TO PHOTOELECTRON SPECTROSCOPY AND ELECTRON DETECTED X-RAY ABSORPTION SPECTROSCOPY -- 3. TECHNICAL IMPLEMENTATION AND SAMPLE ENVIRONMENTS -- 4. STRUCTURE AND COMPOSITION AT THE GAS-AQUEOUS SOLUTION INTERFACE -- 5. THE NATURE AND LOCAL ENVIRONMENT OF SOLUTES IN FROZEN SYSTEMS -- 6. EMERGING DEVELOPMENTS -- REFERENCES -- 7 - Liquid Surface X-Ray Scattering -- 1. OVERVIEW -- 2. THEORY AND INSTRUMENTATION -- 2.1 THEORY FOR LIQUID SURFACE SCATTERING TECHNIQUES -- 2.1.1 X-Ray Reflectivity -- 2.1.2 Grazing Incident X-Ray Diffraction -- 2.1.3 X-Ray Fluorescence Near Total Reflection -- 2.1.4 Other Liquid Surface Scattering Techniques -- 2.2 LIQUID SURFACE REFLECTOMETER -- 2.2.1 Single-Crystal Reflectometer -- 2.2.2 Double-Crystal Reflectometer -- 2.2.3 Energy-Dispersive Reflectometer -- 3. EXAMPLE APPLICATIONS AT THE AIR-AQUEOUS INTERFACE -- 3.1 AIR-PURE WATER INTERFACE -- 3.2 ION DISTRIBUTIONS WITHOUT MONOLAYERS -- 3.3 ION DISTRIBUTIONS IN THE PRESENCE OF SURFACTANTS -- 3.4 BIOLOGICAL SYSTEMS -- 3.4.1 Proteins, DNA, Biomolecules, and Their Interactions With Cell Membranes -- 3.4.2 Biomineralization -- 3.5 NANOPARTICLES AT AIR-WATER INTERFACES -- 4. EXAMPLE APPLICATIONS BEYOND THE AIR-AQUEOUS INTERFACE -- 4.1 NORMAL ALKANES AND DIELECTRIC LIQUIDS -- 4.2 ROOM TEMPERATURE IONIC LIQUIDS -- 4.3 LIQUID METALS -- 4.4 AIR-LIQUID CRYSTAL INTERFACES -- 5. FUTURE PROSPECTS -- ACKNOWLEDGMENTS -- REFERENCES -- 8 - Particle Beam Scattering From the Vacuum-Liquid Interface -- 1. INTRODUCTION -- 1.1 BENEFITS OF A VACUUM ENVIRONMENT. 1.1.1 Experiments Under Vacuum Remove Most Sources of Potential Surface Contaminants -- 1.1.2 Creating a Vacuum Increases the Mean Free Path of Gas-Phase Species -- 1.2 EXPERIMENTAL APPROACHES USED TO OVERCOME THE LIQUID VAPOR PRESSURE PROBLEM IN VACUUM -- 1.2.1 Low-Vapor Pressure Liquids -- 1.2.2 Fenn Wheel Approach -- 1.2.3 Liquid Microjets -- 2. THE SCATTERING APPROACHES -- 2.1 INTRODUCTION TO ATOMIC AND MOLECULAR BEAMS -- 2.2 THE APPROACH OF BEAM SCATTERING WITH TIME-OF-FLIGHT TECHNIQUES -- 2.2.1 Translational Energy Transfer Characteristics -- 2.2.2 Classic Studies of Gas-Liquid Scattering -- 2.3 THE APPROACH OF BEAM SCATTERING WITH LASER SPECTROSCOPIC TECHNIQUES -- 2.3.1 Doppler Spectroscopy -- 2.3.2 Laser-Induced Fluorescence -- 2.4 THE APPROACH OF BEAM SCATTERING WITH VELOCITY MAP IMAGING: A NEW FRONTIER? -- 3. THE THEORETICAL APPROACHES -- 3.1 KINEMATIC MODELS -- 3.1.1 Building on the "Hard-Cube" Family -- 3.1.2 Applying Newton Diagrams to Arrive at the "Soft-Sphere" Kinematic Model -- 3.2 MOLECULAR DYNAMICS TRAJECTORIES PROVIDE INSIGHT INTO EXPERIMENTAL RESULTS -- 3.2.1 Projectile Orientation, the Surface, and Other Aspects Influencing the Potential Energy Surface -- 3.2.2 Insights From Molecular Dynamics Scattering With Self-Assembled Monolayers -- 3.2.2.1 Normal Mode Vibrational Analysis -- 3.2.2.2 Displacing an Effective Surface Mass-Momentum Matching -- 3.2.3 Molecular Dynamics Scattering With Realistic Liquid Models -- 3.2.3.1 Classical Molecular Dynamics Studies of Nonreactive Gas-Liquid Scattering -- 3.2.3.2 QM/MM Studies of Reactive Gas-Liquid Scattering -- 4. OUTLOOK AND NEEDS -- REFERENCES -- 9 - Microfluidics and Interfacial Chemistry in the Atmosphere -- 1. INTRODUCTION -- 2. MICROFLUIDICS AND FABRICATION -- 2.1 MICROFLUIDIC FABRICATION -- 2.2 SOFT LITHOGRAPHY -- 3. OPTICAL SPECTROSCOPY IN AIR-LIQUID STUDIES. 3.1 INFRARED SPECTROSCOPY -- 3.2 RAMAN SPECTROSCOPY -- 3.3 SUM-FREQUENCY GENERATION SPECTROSCOPY -- 4. SYSTEM FOR ANALYSIS AT LIQUID AND VACUUM INTERFACE AND ITS APPLICATION AT THE AIR-LIQUID INTERFACE -- 4.1 SYSTEM FOR ANALYSIS AT LIQUID AND VACUUM INTERFACE -- 4.2 DESIGN CONSIDERATIONS -- 4.3 DEMONSTRATION OF FEASIBILITY -- 4.4 SALVI ENABLED LIQUID SIMS -- 4.5 ANALYTICAL CAPABILITY -- 4.6 LIQUID SECONDARY ION MASS SPECTROMETRY OPTIMIZATION -- 4.7 SYSTEM FOR ANALYSIS AT LIQUID AND VACUUM INTERFACE APPLICATIONS -- 4.7.1 Nanoparticle Characterization -- 4.7.2 Atmospheric Photochemistry -- 4.7.3 Aerosol Transformation -- 4.7.4 Other Applications -- 5. CONCLUSION -- ACKNOWLEDGMENTS -- REFERENCES -- 10 - Gas-Liquid Interfaces in the Atmosphere: Impacts, Complexity, and Challenges -- 1. INTRODUCTION -- 2. CHEMISTRY AT THE OCEAN-ATMOSPHERE INTERFACE -- 2.1 ORIGIN AND PROPERTIES OF THE SEA SURFACE MICROLAYER -- 2.2 OCEAN SURFACE CHEMISTRY AND TRACE GAS FLUXES -- 2.3 SEA SPRAY AEROSOL PRODUCTION -- 2.4 PHOTOCHEMISTRY AT THE AIR-SEA INTERFACE -- 3. ATMOSPHERIC CHEMISTRY OF THE AQUEOUS PHASE -- 3.1 TRACE GAS INTERACTIONS WITH AQUEOUS AEROSOLS AND DROPLETS -- 3.2 TRANSFER OF OXIDANTS TO THE AQUEOUS PHASE -- 3.3 PHOTOCHEMICAL PROCESSES IN THE ATMOSPHERIC AQUEOUS PHASE -- 3.4 PRODUCTION OF REACTIVE OXYGEN SPECIES -- 4. PARTITIONING OF SURFACE-ACTIVE COMPOUNDS IN AEROSOLS -- 4.1 SELECTIVITY OF SURFACE-ACTIVE COMPOUNDS AT INTERFACES -- 4.2 GAS-PARTICLE PARTITIONING AND PARTICLE GROWTH -- 4.3 SURFACE TENSION EFFECTS ON CLOUD DROPLET NUCLEATION -- 5. TECHNICAL CHALLENGES IN THE STUDY OF ENVIRONMENTALLY RELEVANT SYSTEMS -- 5.1 SURFACE-SELECTIVE TECHNIQUES -- 5.2 DEVELOPMENT OF EXPERIMENTAL TOOLS FOR COMPLEX ENVIRONMENTAL SYSTEMS -- 6. SUMMARY -- ACKNOWLEDGMENTS -- REFERENCES -- 11 - New Particle Formation and Growth: Creating a New Atmospheric Phase Interface. 1. OVERVIEW. EBL201807 Chemical Physics and Chemistry SzGeCERN EBL Chemistry, Physical and theoretical BOOK House, J E https://cds.cern.ch/auth.py?r=EBLIB_P_5409195 ebook n 201828 201807 21 PUBLIC https://catalogue.library.cern/legacy/2631211 BOOK MIGRATED 2631200 SzGeCERN 20210421204511.0 9781118490006 print version 9781119084136 electronic version electronic version oai:cds.cern.ch:2631200 cerncds:BOOK eng VM471 .I853 2018 623.87 Islam, Mohammed M Shipboard power systems design and verification fundamentals Singapore Wiley-IEEE Press 2018 327 p ebook Intro -- Shipboard Power Systems Design and Verification Fundamentals -- Contents -- Preface -- 1 Overview -- 1.0 Introduction -- 1.1 Shipboard Power System Design Fundamentals -- 1.2 Ship Design Requirements -- 1.3 ETO Certification: Meece -- 1.4 Legacy System Design Development and Verification -- 1.5 Shipboard Electrical System Design Verification and Validation (V&V) -- 1.5.1 Verification and Validation (V&V) Overview -- 1.5.2 Verification -- 1.5.2a Acceptance of Verification -- 1.5.3 Validation -- 1.5.4 Differences Between Verification and Validation: Shipboard Electrical System Design and Development Process -- 1.6 IEEE 45 Dot Standards: Recommended Practice for Shipboard Electrical Installation -- 1.7 Other Rules and Regulations, and Standards in Support of IEEE 45 Dot Standards -- 1.8 Shipboard Ungrounded Power System -- 1.9 Shipboard Electrical Design Basics -- 1.10 Electrical Design Plan Submittal Requirements -- USCG Code of Federal Regulations CFR 46 Part 110 -- 1.11 ABS Rules for Building and Classing Steel Vessels -- 1.12 Shipboard Electrical Safety Considerations -- 1.13 High-Resistance Grounding Requirements for Shipboard Ungrounded Systems (See Chapter 9 for Details) -- (a) Background of High-Resistance Grounding (HRG) with Maximum Fault Current 5 Amp RMS -- 1.14 Shipboard Electrical Safety Considerations -- 1.14.1 Arc Flash Basics (See Section 12 for Details) -- 1.14.2 Arc Flash Hazard Analysis Procedures -- 1.14.3 Warning Label Placement -- 1.15 Propulsion Power Requirements (IEEE Std 45-2002, Clause 7.4.2) -- 1.16 IMO-Solas Electric Propulsion Power Redundancy Requirements -- 1.17 Regulatory Requirements for Emergency Generator -- 1.18 USCG Dynamic Positioning (DP) Guidelines -- DNV Part 4, Chapter 8 -- 1.19 IEC/ISO/IEEE 80005-1-2012: Utility Connections in Port-High Voltage Shore Connection (HVSC) Systems-General Requirements. 1.20 Mil Standard 1399 Medium Voltage Power System Characteristics -- 1.21 Shipboard Power Quality and Harmonics (See Chapter 7 for Detail Requirements) -- 1.21.1 IEEE Std 45-2002, Clause 4.6, Power Quality and Harmonics -- 1.21.2 Power Conversion Equipment-Related Power Quality -- 1.21.2a IEEE Std 45-2002, Clause 31.8, Propulsion Power Conversion Equipment (Power Quality) -- 1.22 USCG Plan Submittal Requirements -- 1.23 ABS Rules for Building and Classing Steel Vessels (Partial Listing) -- 1.24 Design Verification and Validation -- 1.24.1 Design Verification Test Procedure (DVTP) -- 1.24.2 Qualitative Failure Analysis (QFA) -- 1.24.3 IEEE 519 Harmonic Standard -- 1.25 Remarks for VFD Applications Onboard Ship -- 2 Electrical System Design Fundamentals and Verifications -- 2.0 Introduction -- 2.1 Design Basics -- 2.2 Marine Environmental Condition Requirements for the Shipboard Electrical System Design -- 2.3 Power System Characteristics: MIL-STD-1399 Power Requirements -- 2.4 ABS Type Approval Procedure (Taken From ABS Directives) -- 2.4.1 List of Recognized Laboratories -- 2.4.2 Nationally Recognized Testing Laboratory Program -- 2.4.3 Procedure for Becoming Type Approved -- 2.5 Shipboard Electrical Power System Design Basics -- 2.5.1 Table 2.4: Explanation for Note 1 of Figure 2.1 (Use of Multiple Options, Step Down Transformer, MG Set, PCU) -- 2.5.2 Table 2.5: Explanation for Note 2 of Figure 2.1 (Use of Power Conversion Unit to Supply Power from MV SWBD to the Ship Service SWBD) -- 2.5.3 Table 2.6: Explanation for Note 3 of Figure 2.1 (Use of Motor Generator with MV Input to AC Motor and Driving AC Generator) -- 2.5.4 Table 2.7: Explanation for Note 4 of Figure 2.1 (High-Power Battery Supplying Power to the 480 V Ship Service Switchboard). 2.5.5 Table 2.8: Explanation for Note 5 of Figure 2.1 (Use of Step Down Service Transformer to Supply Power from MV SWBD to the Ship Service SWBD) -- 2.5.6 Table 2.9: Explanation for Note 6 of Figure 2.1 (Variable Frequency of Adjustable Drive for Electrical Propulsion Application) -- 2.6 Shipboard Electrical Standard Voltages -- 2.6.1 NORSOK Standard 6.1 System Voltage and Frequency -- 2.7 Voltage and Frequency Range (MIL-STD-1399) -- 2.8 Ungrounded System Concept (ANSI and IEC) -- 2.9 Concept Design -- 2.9.1 Power Generation -- 2.9.2 Power Distribution -- 2.10 Design Features Outlined in -- 2.11 Protective Device-Circuit Breaker Characteristics -- 2.12 Fault Current Calculation and Analysis Requirement -- 2.12.1 Fault Current Calculation Fundamentals -- 2.13 Adjustable Drive Fundamentals -- 2.13.1 Advantages of ASD for Shipboard Application -- 2.13.2 Disadvantages of VFD/ASD for Shipboard Application -- 2.14 Fundamentals of ASD Noise Management -- 2.15 Electrical Noise Management (See Chapter 7 for Additional Details) -- 2.16 Motor Protection Solutions: DV/DT Motor Protection Output Filter -- 3 Power System Design, Development, and Verification -- 3.0 Introduction: Design, Development, and Verification Process -- 3.1 Typical Design and Development of Power Generation and Distribution (See Figure 3.1) -- 3.2 Failure Mode and Effect Analysis (FMEA): Design Fundamentals -- 3.2.1 Failure Mode and Effect Analysis (FMEA) -- 3.3 Failure Mode and Effect Analysis (FMEA) Electric Propulsion System Diesel Generator: Design Fundamentals -- 3.3.1 Diesel Engine Operational Mode Selection -- 3.3.2 Diesel Generator Safety System Functions -- 3.3.3 Power Management Overview Mimic (Central Control Station and Switchboard) -- 3.3.4 Power Distribution Mimic Page -- 3.4 Design Verification: General -- 3.4.1 Qualitative Failure Analysis (QFA). 3.4.2 Qualitative Failure Analysis (QFA) Basics -- 3.4.3 Process Failure Mode and Effect Analysis (FMEA): General -- 3.4.4 Qualitative Failure Analysis (QFA)-1 -- 3.4.5 Explanation of the Detail Design Using QFA -- 3.4.6 Design Verification Test Procedure (DVTP): General -- 3.4.7 Example-1: Propulsion Plant (DVTP) Design Verification Test Procedure -- 3.5 Ship Service Power System Design: System-Level Fundamentals (Figure 3.2) -- 3.6 Single Shaft Electric Propulsion (Figure 3.3) -- 3.7 Electrical Generation and Distribution with Detail Design Information (Figure 3.4) -- 3.8 Electric Propulsion and Power Conversion Unit for Ship Service Distribution (Figure 3.5) -- 3.9 6600V and 690V Adjustable Speed Application with High-Resistance Grounding-1 (Figure 3.6) -- 3.10 MV and 690V Adjustable Speed Application with High-Resistance Grounding (Figure 3.7) -- 3.11 Fully Integrated Power System Design with Adjustable Speed Drive (Figure 3.8) -- 3.12 Variable Frequency Drive (VFD) Voltage Ratings and System Protection -- Voltage Motor Insulation Stress when Driven by a Variable Frequency Drive -- 3.13 Example 460V, Three-Phase, Full Wave Bridge Circuit Feeding Into a Capacitive Filter to Create a 650 VDC Power Supply -- 3.14 Special Cable and Cable Termination Requirements for Variable Frequency Drive Application -- 3.15 Harmonic Management Requirements for Variable Frequency Drive Application -- 3.16 Switchgear Bus Bar Ampacity, Dimension, and Space Requirements -- 3.16.1 Bus Bar Rating for English Dimensions (Inches) -- 3.16.2 Bus Bar Rating for Metric Dimensions (Millimeter: MM) -- 3.16.3 Nominal Working Space Requirements -- 3.17 Meece (Management of Electrical and Electronics Control Equipment) Course Outline Requirements: USCG -- 4 Power Generation and Distribution -- 4.0 Introduction -- 4.1 Generation System Requirements -- Generators. 4.2 IEEE Std 45-2002, ABS-2002 and IEC for Generator Size and Rating Selection -- 4.3 ABS-2002 Section 4-8-2-3.1.3 Generator Engine Starting from Dead Ship Condition (Extract) -- 4.4 Additional Details of Sizing Ship Service Generators -- 4.4.1 Engine Governor Characteristics -- 4.4.2 Generator Voltage Regulator Characteristics -- 4.4.3 How AVR works: -- 4.4.4 Droop Characteristics: Generator Set -- 4.5 Typical Generator Prime Mover -- Electric propulsion system (ABS R2 redundancy) -- 4.6 Generator: Typical Purchase Specification (Typical Electrical Propulsion System) -- 5 Emergency Power System Design and Development -- 5.0 Introduction -- (a) Emergency Generation and Distribution -- (b) Emergency No-Break Power Generation and Distribution -- 5.1 USCG 46 CFR Requirements: 112.05 (Extract Only) -- 5.2 IEEE STD 45-2002, Clause 6.1, General (Extract) -- 5.3 Emergency Source of Electrical Power: ABS 2010, 5.1.1 Requirement -- 5.4 ABS Emergency Generator Starting Requirement (ABS Rule for Passenger Vessels) -- 5.5 Typical Emergency Generation and Distribution System -- 5.6 Emergency Generator and Emergency Transformer Rating: Load Analysis (Sample Calculation) -- 5.7 Emergency Power Generation and Distribution with Ship Service Power and Distribution System -- 5.8 Emergency Transformer 450V/120V (Per ABS) -- 5.9 Emergency Generator Starting Block Diagram -- 5.10 Emergency Generation and Distribution Design Verification -- 5.11 No-Break Emergency Power Distribution -- 6 Protection and Verification -- 6.0 Introduction: Protection System Fundamentals -- 6.1 Protective Device: Glossary -- 6.2 Power System Protections -- 6.3 Power System: Procedure for Protective Device Coordination -- 6.4 Fault Current Calculation Guidelines (Per USCG Requirements) -- 111.52-3 Systems below 1500 Kilowatts -- 6.5 Overall Protection Synopsis. 6.6 ANSI Electrical Device Numbering (for Device Number Details Refer to ANSI C.37.2). EBLlink deleted IEEE201807 SzGeCERN Engineering EBL Ships-Electric equipment-Design and construction BOOK https://ezproxy.cern.ch/login?url=https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8390724 ebook 201807 IEEE n 201828 21 PUBLIC https://catalogue.library.cern/legacy/2631200 BOOK MIGRATED 2631199 SzGeCERN 20210421204512.0 9781119363491 print version 9781119364146 electronic version electronic version oai:cds.cern.ch:2631199 cerncds:BOOK EBL 5407299 eng TA170 .P763 2018 510 Theodore, Louis Introduction to mathematical methods for environmental engineers and scientists Newark, NJ John Wiley & Sons 2018 501 p ebook Intro -- Title page -- Copyright page -- Dedication -- Preface -- Part I: Introductory Principles -- Chapter 1: Fundamentals and Principles of Numbers -- 1.1 Interpolation and Extrapolation -- 1.2 Significant Figures and Approximate Numbers [1] -- 1.3 Errors -- 1.4 Propagation of Errors -- Chapter 2: Series Analysis -- 2.1 Other Infinite Series -- 2.2 Tests for Convergence and Divergence [2] -- 2.3 Infinite Series Equations -- References -- Chapter 3: Graphical Analysis -- 3.1 Rectangular Coordinates -- 3.2 Logarithmic-Logarithmic (Log-Log) Coordinates -- 3.3 Semilogarithmic (Semi-Log) Coordinates -- 3.4 Other Graphical Coordinates -- 3.5 Methods of Plotting Data -- References -- Chapter 4: Flow Diagrams -- 4.1 Process Schematics -- 4.2 Flow Chart Symbols -- 4.3 Preparing Flow Diagrams -- 4.4 Simplified Flow Diagrams -- 4.5 Hazard Risk Assessment Flow Chart -- References -- Chapter 5: Dimensional Analysis -- 5.1 The Metric System [1] -- 5.2 The SI System -- 5.3 Conversion of Units -- 5.4 Select Common Abbreviations [1] -- 5.5 Dimensionless Numbers -- 5.6 Buckingham Pi (π) Theorem -- References -- Chapter 6: Economics -- 6.1 Definitions -- 6.2 The Need for an Economic Analysis [1] -- 6.3 Capital Investment and Risk -- 6.4 Applications -- References -- Chapter 7: Problem Solving -- 7.1 Sources of Information [1] -- 7.2 Generic Problem-Solving Techniques [6] -- 7.3 An Approach -- 7.4 Some General Concerns -- Part II: Analytical Analysis -- Chapter 8: Analytical Geometry -- 8.1 Rectangular Coordinates -- 8.2 Cylindrical Coordinates -- 8.3 Spherical Coordinates -- 8.4 Key Physical Equations -- 8.5 Applications -- Chapter 9: Differentiation -- 9.1 Graphical Methods -- 9.2 Finite Differences -- Chapter 10: Integration -- 10.1 Graphical Integration -- 10.2 The Rectangle Method [5] -- 10.3 The Method of Rectangles -- 10.4 The Method of Trapezoids. 10.5 Rayleigh Equation for Simple Batch (Differential) Distillation -- References -- Chapter 11: Differential Calculus -- 11.1 Differential Operations -- 11.2 Ordinary Differential Equations -- 11.3 Partial Differential Equations -- 11.4 Maxima and Minima -- References -- Chapter 12: Integral Calculus -- 12.1 Analytical integration -- 12.2 Indefinite Integrals -- 12.3 Definite Integrals -- 12.4 Integration Applications -- References -- Chapter 13: Matrix Algebra [1] -- 13.1 Definitions -- 13.2 Rules for Determinants and Matricies -- 13.3 Rank and Solution of Linear Equations -- 13.4 Linear Equations -- References -- Chapter 14: Laplace Transforms -- 14.1 Laplace Transform Theorems -- 14.2 Laplace Transforms of Specific Functions -- 14.3 Splitting Proper Rational Fractions into Partial Fractions -- 14.4 Converting An Ordinary Differential Equation (ODE) Into An Algebraic Equation -- 14.5 Converting a Partial Differential Equation (PDE) into an Ordinary Differential Equation (ODE) -- References -- Part III: Numerical Analysis -- Chapter 15: Trial-and-Error Solutions -- 15.1 Square Root Calculations -- 15.2 Quadratic and Cubic Equations -- 15.3 Two or More Simultaneous Non-Linear Equations -- 15.4 Higher Order Algebraic Equations -- 15.5 Other Approaches -- References -- Chapter 16: Nonlinear Algebraic Equations -- 16.1 The Reguli-Falsi (False Position) Method -- 16.2 Newton-Raphson Method -- 16.3 Newton's Second Order Method -- References -- Chapter 17: Simultaneous Linear Algebraic Equations -- 17.1 Notation For Solving Simultaneous Linear Algebraic Equations -- 17.2 Gauss Elimination Method -- 17.3 Gauss-Jordan Reduction Method -- 17.4 Gauss-Seidel Method -- References -- Chapter 18: Differentiation -- 18.1 Employing Two and Three Point Formulas -- 18.2 Employing Five Point Formulas -- 18.3 Method of Least Squares -- References. Chapter 19: Integration -- 19.1 Trapezoidal Rule -- 19.2 Simpson's Rule -- 19.3 Comparing the Trapezoidal and Simpson's Rules -- References -- Chapter 20: Ordinary Differential Equations -- 20.1 Finite Difference/Lumped Parameter Method -- 20.2 Runge-Kutta Method -- 20.3 Runge-Kutta-Gill Method -- 20.4 Several Ordinary Differential Equations -- 20.5 Higher Order Ordinary Differential Equations -- Chapter 21: Partial Differential Equations -- 21.1 Partial Differential Equation (PDE) Classification -- 21.2 Parabolic Partial Differential Equations -- 21.3 Parabolic PDE with Three Independent Variables -- 21.4 Elliptical Partial Differential Equations -- References -- Part IV: Statistical Analysis -- Chapter 22: Basic Probability Concepts -- 22.1 Probability Definitions -- 22.2 Permutations and Combinations -- 22.3 Series and Parallel Systems -- References -- Chapter 23: Estimation of Mean and Variance -- 23.1 Estimation of the Mean -- 23.2 Estimation of the Variance -- 23.3 Interpretation of Mean and Variance -- Reference -- Chapter 24: Discrete Probability Distributions -- 24.1 The Binomial Distribution -- 24.2 Hypergeometric Distribution -- 24.3 Poisson Distribution -- Chapter 25: Continuous Probability Distributions -- 25.1 Exponential Distribution -- 25.2 Weibull Distribution -- 25.3 Normal Distribution -- 25.5 Log-Normal Distribution -- Reference -- Chapter 26: Fault Tree and Event Tree Analysis [1] -- 26.1 Fault Trees -- 26.2 Event Trees -- References -- Chapter 27: Monte Carlo Simulation -- 27.1 Exponential Distribution Applications -- 27.2 Normal Distribution Applications -- 27.3 Heat Conduction Applications -- References -- Chapter 28: Regression Analysis [1, 2] -- 28.1 Scatter Diagrams -- 28.2 Method of Least Squares -- 28.3 The Correlation Coefficient -- References -- Part V: Optimization -- Chapter 29: Introduction to Optimization. 29.1 The History of Optimization -- 29.2 The Computer Age -- 29.3 The Scope Of Optimization -- References -- Chapter 30: Perturbation Techniques -- 30.1 One Independent Variable -- 30.2 Two Independent Variables -- 30.3 Three Independent Variables -- 30.4 The Heat Exchange Network Dilemma -- References -- Chapter 31: Search Methods -- 31.1 Interval Halving -- 31.2 Golden Section -- 31.4 Steepest Ascent/Descent -- References -- Chapter 32: Graphical Approaches -- 32.1 Rectangular Coordinates -- 32.2 Logarithmic-Logarithmic (Log-Log) Coordinates -- 32.3 Semilogarithmic (Semi-Log) Coordinates -- 32.4 Methods of Plotting Data -- 32.5 Optimization Illustrative Examples -- References -- Chapter 33: Analytical Approaches -- 33.1 Breakeven Considerations -- 33.2 One Independent Variable -- 33.3 General Analytical Formulation of the Optimum -- 33.4 Two Independent Variables -- 33.5 Three Independent Variables -- References -- Chapter 34: Introduction to Linear Programming -- 34.1 Definitions -- 34.2 Basic Concepts of Optimization -- 34.3 Applied Mathematics Concepts on Linear Programming -- 34.4 Applied Engineering Concepts in Linear Programming -- 34.5 Applied Engineering Concepts in Linear Programming -- References -- Chapter 35: Linear Programming Applications -- References -- Index -- End User License Agreement. EBL201807 Mathematical Physics and Mathematics SzGeCERN EBL Environmental engineering-Mathematical models BOOK Prochaska, Charles https://cds.cern.ch/auth.py?r=EBLIB_P_5407299 ebook n 201828 201807 21 PUBLIC https://catalogue.library.cern/legacy/2631199 BOOK MIGRATED 2631194 SzGeCERN 20210421204512.0 9781119370260 9781119370369 oai:cds.cern.ch:2631194 cerncds:BOOK SAFARI 9781119370260 eng TA418.9.N35 .N366 2018 610.284 Kanchi, Suvardhan Nanomaterials biomedical and environmental applications Newark, NJ John Wiley & Sons 2018 325 p ebook Advance materials series Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Part I: Synthesis and Characterization -- 1 Synthesis, Characterization and General Properties of Carbon Nanotubes -- 1.1 Introduction -- 1.2 The History of Carbon Nanotubes -- 1.3 Graphene -- 1.4 Graphite -- 1.5 Fullerene -- 1.6 Rehybridization -- 1.7 Structure of Carbon Nanotubes (CNTs) -- 1.8 Classification of CNTs -- 1.8.1 Classification by Chirality -- 1.8.2 Classification by Conductivity -- 1.8.3 Classification by Layers -- 1.9 Crystal Structures of Carbon Nanotubes -- 1.10 Synthesis Methods -- 1.10.1 Arc-Discharge -- 1.10.2 Laser Ablation -- 1.10.3 Flame Methods -- 1.10.4 Chemical Vapor Deposition -- 1.11 The Purification Process of CNTs -- 1.12 Mechanism of Growth CNTs -- 1.12.1 The Model for Carbon Filament Growth -- 1.12.1.1 Tip Growth Model -- 1.12.1.2 Base Growth Model -- 1.12.2 Free Radical Condensate -- 1.12.3 Yarmulke Mechanism -- 1.13 Properties of Carbon Nanotubes -- 1.13.1 Electronic Properties of Carbon Nanotubes -- 1.13.2 Mechanical Properties of CNTs -- 1.14 Applications of Carbon Nanotubes -- 1.14.1 Fuel Cells -- 1.14.2 Solar Cells -- 1.14.3 Dye-sensitized Solar Cells -- 1.15 Characterization of CNTs -- 1.15.1 Raman Spectroscopy -- 1.15.1.1 G band -- 1.15.1.2 D Band -- 1.15.1.3 Radial Breathing Mode -- 1.15.2 X-Ray Diffraction -- 1.15.3 X-ray Photoelectron Spectroscopy -- 1.15.4 Thermo Gravimetric Analysis -- 1.15.5 Transmission Electron Microscopy -- 1.15.6 Scanning Electronic Microscopy -- 1.15.7 Scanning Helium Ion Microscopy -- 1.16 Composite of CNTs/Semiconductors -- 1.17 Recent Updates on Synthesis of CNTs -- References -- 2 Synthesis and Characterization of Phosphorene: A Novel 2D Material -- 2.1 Introduction -- 2.1.1 History of Phosphorene -- 2.1.2 Crystal Structure -- 2.1.3 Band Structure -- 2.2 Synthesis of Phosphorene -- 2.2.1 Mechanical Exfoliation. 2.2.2 Plasma-Assisted Method -- 2.2.3 Liquid-Phase Exfoliation -- 2.2.4 Chemical Vapor Deposition -- 2.3 Characterization of Phosphorene -- 2.3.1 Structural Charcterizations -- 2.3.2 Spectroscopic Characterizations -- 2.3.3 Optical Band Gap Characterization -- 2.4 Environment Stability Issue of Phosphorene -- 2.5 Summary and Future Prospective -- References -- 3 Graphene for Advanced Organic Photovoltaics -- 3.1 Introduction -- 3.2 History of Graphene -- 3.3 Structure of Graphene -- 3.4 Graphene Family Nanomaterials -- 3.5 Properties of Graphene -- 3.5.1 Physicochemical Properties -- 3.5.2 Thermal and Electrical Properties -- 3.5.3 Optical Properties -- 3.5.4 Mechanical Properties -- 3.5.5 Biological Properties -- 3.6 Graphene for Advanced Organic Photovoltaics -- 3.6.1 Transparent Electrodes of OPVs -- 3.6.2 Acceptor Material in OPVs -- 3.6.3 Interfacial Layer in OPVs -- 3.7 Conclusion -- References -- 4 Synthesis of Carbon Nanotubes by Chemical Vapor Deposition -- 4.1 Introduction -- 4.2 Synthesis Methods -- 4.2.1 Arc-Discharge -- 4.2.2 Laser Ablation -- 4.2.3 Flame Methods -- 4.2.4 Chemical Vapor Deposition -- 4.3 The Parameters of CVD -- 4.3.1 CNT Precursors -- 4.3.2 Type of Catalyst -- 4.3.3 Effect of Temperature -- 4.3.4 Gas Flow Rates -- 4.4 Deformations and Defects in Carbon Nanotubes -- 4.4.1 Deformations in Carbon Nanotubes -- 4.4.2 Defects in Carbon Nanotubes -- 4.5 Characterization of CNTs -- 4.6 Conclusion -- References -- Part II: Environmental and Engineering Applications -- 5 A Review of Pharmaceutical Wastewater Treatment with Nanostructured Titanium Dioxide -- 5.1 Introduction -- 5.2 Heterogeneous Photocatalysis -- 5.3 Pharmaceuticals in the Environment -- 5.4 Role of TiO2 in Photocatalysis for Degradation, Mineralization, and Transformation Process of Pharmaceuticals -- 5.5 Applications -- 5.6 Conclusion -- Acknowledgment. References -- 6 Nanosilica Particles in Food: A Case of Synthetic Amorphous Silica -- 6.1 Introduction -- 6.1.1 The Different Forms of Silica -- 6.1.2 Synthetic Amorphous Silica -- 6.1.3 Physical and Chemical Properties of SAS -- 6.1.4 Silica Applications in the Food Industry -- 6.1.5 Toxicity -- 6.1.6 Conclusion -- References -- 7 Bio-Sensing Performance of Magnetite Nanocomposite for Biomedical Applications -- 7.1 Introduction -- 7.1.1 Hematite -- 7.1.2 Maghemite -- 7.1.3 Magnetite -- 7.1.4 Magnetism and Magnetic Materials -- 7.1.5 Types of Magnetic Substances -- 7.1.5.1 Paramagnetic Substances -- 7.1.5.2 Diamagnetic Substances -- 7.1.5.3 Ferri Magnetic Substances -- 7.1.5.4 Ferro Magnetic Substances -- 7.1.5.5 Anti-Ferro Magnetic Substances -- 7.1.6 Shape, Size, and Magnetic Properties -- 7.1.7 Synthesis Methods of Magnetic Nanoparticles -- 7.1.8 Advantages of Magnetic Nanomaterials -- 7.1.9 Surface Modifications of Magnetic Nanoparticles -- 7.2 Potential Applications of Magnetic Nanoparticles -- 7.2.1 Magnetic Separation -- 7.2.2 Magnetic Resonance Image -- 7.2.3 Targeted Drug Delivery Systems -- 7.2.4 Magnetic Hyperthermia -- 7.2.5 Gene Delivery -- 7.3 Conclusion -- References -- 8 The Importance of Screening Information Data Set in Nanotechnology -- 8.1 Introduction -- 8.2 Review of the Literature -- 8.2.1 Carbon Nanotubes -- 8.2.2 Nanosilver -- 8.2.3 Carbon Nanotubes vs. Asbestos -- 8.2.4 Density -- 8.2.5 Risk Assessment -- 8.2.6 Using SIDS as a Risk Assessment Tool for ENPs -- 8.3 Behavioral Patterns of Engineered Nanoparticles -- 8.3.1 Products Containing Nanosilver -- 8.3.2 Toxicity Effects of Nanosilver on Humans -- 8.3.3 Toxicity Effects on the Environment -- 8.4 Conclusions and Recommendations -- References -- 9 Nanomaterials for Biohydrogen Production -- 9.1 Introduction -- 9.2 Major Biohydrogen Production Pathways. 9.2.1 Biophotolysis -- 9.2.2 Photo-Fermentation -- 9.2.3 Dark Fermentation -- 9.2.4 Microbial Electrolysis Cell -- 9.3 Nanaparticle Effects on Biohydrogen Production -- 9.3.1 Dark Fermentative Hydrogen Production -- 9.3.2 Photo Fermentative Hydrogen Production -- 9.3.3 Photocatalytic Hydrogen (H2) Production -- 9.3.4 MEC-Based Hydrogen Production -- 9.4 Biohydrogen Producing Associated with Immobilized Enzymes (Cellulases and Hydrogenases) -- 9.5 Outlook and Concluding Notes -- Acknowledgment -- References -- 10 A Framework for Using Nanotechnology in Military Gear -- 10.1 Introduction -- 10.2 Literature Review -- 10.2.1 Antibacterial and Self-cleaning Properties -- 10.2.2 Ballistic Protection Properties -- 10.2.3 Biological and Chemical Protection Properties -- 10.2.4 Health Monitoring Sensing Properties -- 10.2.5 UV Protection Properties -- 10.2.6 Ethics, Safety, and the Enhancement of Soldier's Performance -- 10.2.7 Risks in Engineered Nanomaterials -- 10.2.8 Control of Risks -- 10.3 Application of Nanotechnology in the Military -- 10.3.1 Protective Properties -- 10.3.1.1 Environmental Hazard Protection -- 10.3.1.2 Biological and Chemical Hazard Protection -- 10.3.1.3 Injury Protection -- 10.3.2 Medical Properties -- 10.3.2.1 Bio-sensing -- 10.3.2.2 Tissue Repair -- 10.3.3 Ethics, Safety, and the Enhancement of Soldier's Performance -- 10.3.4 Key Transmissions of ENM Exposure -- 10.4 Conclusions -- 10.4.1 Recommendations -- References -- Part III: Biological Applications -- 11 Plasmonic Nanopores: A New Approach Toward Single Molecule Detection -- 11.1 Introduction -- 11.1.1 Biological Nanopores -- 11.1.2 Solid State Nanopores -- 11.1.3 Plasmoinc Nanopore -- 11.2 Sensing Principles of Plasmonic Nanopore -- 11.2.1 Fabrication of Plasmonic Nanopores -- 11.2.1.1 Materials of Choice -- 11.2.1.2 Lithography -- 11.2.1.3 Multilayers. 11.3 Optical Properties -- 11.4 Improving Performance -- 11.4.1 Use of a New Kind of Structures -- 11.4.2 Use of New Spectroscopy Techniques -- 11.5 Surface Patterning -- 11.6 Applications - Next-Generation DNA Sequencing and Beyond -- 11.7 Some Other Sensing Examples -- 11.8 Future Perspectives -- References -- 12 Catalytically Active Enzyme Mimetic Nanomaterials and Their Role in Biosensing -- 12.1 Introduction -- 12.2 Different Types of Catalytically Active Enzyme Mimetic Nanomaterials -- 12.2.1 Carbon Derivative-based Enzyme Mimetic Nanomaterials -- 12.2.1.1 Carbon Nanotubes -- 12.2.1.2 Graphene Oxide -- 12.2.1.3 Graphene Quantum Dots -- 12.2.1.4 Graphene-Hemin Nanocomposites -- 12.2.2 Nobel Metal Nanoparticle-Based Enzyme Mimetic Nanomaterials -- 12.2.2.1 Gold Nanoparticles -- 12.2.3 Metal Oxide Nanoparticle-Based Enzyme Mimetic Nanomaterials -- 12.3 Applications of Catalytically Active Nanomaterials in Biosensing -- 12.3.1 Biosensors -- 12.3.1.1 H2O2 Detection -- 12.3.1.2 Glucose Detection Peroxidase-Like Nanozymes Coupled -- 12.3.1.3 Immunoassays -- References -- Index -- EULA. SAF202009 EBLlink deleted Health Physics and Radiation Effects SzGeCERN EBL Biomedical materials BOOK Ahmed, Shakeel Hussain, Chaudhery Mustansar Sabela, Myalowenkosi I https://learning.oreilly.com/library/view/-/9781119370260/?ar ebook n 201828 201807 21 PUBLIC https://catalogue.library.cern/legacy/2631194 BOOK MIGRATED 2631193 SzGeCERN 20200808000725.0 9781119401049 print version 9781119401162 electronic version electronic version oai:cds.cern.ch:2631193 cerncds:BOOK EBL 5405937 eng TK1087 .M478 2019 621.31244 Mertens, Konrad Photovoltaics fundamentals, technology, and practice 2nd ed. Newark, NJ John Wiley & Sons 2018 370 p ebook Cover -- Title Page -- Copyright -- Contents -- Preface to the First International Edition -- Preface to the Second International Edition -- Abbreviations -- Chapter 1 Introduction -- 1.1 Introduction -- 1.1.1 Why Photovoltaics? -- 1.1.2 Who Should Read This Book? -- 1.1.3 Structure of the Book -- 1.2 What Is Energy? -- 1.2.1 Definition of Energy -- 1.2.2 Units of Energy -- 1.2.3 Primary, Secondary, and End Energy -- 1.2.4 Energy Content of Various Substances -- 1.3 Problems with Today's Energy Supply -- 1.3.1 Growing Energy Requirements -- 1.3.2 Tightening of Resources -- 1.3.3 Climate Change -- 1.3.4 Hazards and Disposal -- 1.4 Renewable Energies -- 1.4.1 The Family of Renewable Energies -- 1.4.2 Advantages and Disadvantages of Renewable Energies -- 1.4.3 Previous Development of Renewable Energies -- 1.5 Photovoltaics - The Most Important in Brief -- 1.5.1 What Does "Photovoltaics" Mean? -- 1.5.2 What Are Solar Cells and Solar Modules? -- 1.5.3 How Is a Typical Photovoltaic Plant Structured? -- 1.5.4 What Does a Photovoltaic Plant "Bring? -- 1.6 History of Photovoltaics -- 1.6.1 How It all Began -- 1.6.2 The First Real Solar Cells -- 1.6.3 From Space to Earth -- 1.6.4 From Toy to Energy Source -- Chapter 2 Solar Radiation -- 2.1 Properties of Solar Radiation -- 2.1.1 Solar Constant -- 2.1.2 Spectrum of the Sun -- 2.1.3 Air Mass -- 2.2 Global Radiation -- 2.2.1 Origin of Global Radiation -- 2.2.2 Contributions of Diffuse and Direct Radiation -- 2.2.3 Global Radiation Maps -- 2.3 Calculation of the Position of the Sun -- 2.3.1 Declination of the Sun -- 2.3.2 Calculating the Path of the Sun -- 2.4 Radiation on Tilted Surfaces -- 2.4.1 Radiation Calculation with the Three‐component Model -- 2.4.1.1 Direct Radiation -- 2.4.1.2 Diffuse Radiation -- 2.4.1.3 Reflected Radiation -- 2.4.2 Radiation Estimates with Diagrams and Tables. 2.4.3 Yield Gain through Tracking -- 2.5 Radiation Availability and World Energy Consumption -- 2.5.1 The Solar Radiation Energy Cube -- 2.5.2 The Sahara Miracle -- Chapter 3 Fundamentals of Semiconductor Physics -- 3.1 Structure of a Semiconductor -- 3.1.1 Bohr's Atomic Model -- 3.1.2 Periodic Table of Elements -- 3.1.3 Structure of the Silicon Crystal -- 3.1.4 Compound Semiconductors -- 3.2 Band Model of a Semiconductor -- 3.2.1 Origin of Energy Bands -- 3.2.2 Differences in Isolators, Semiconductors, and Conductors -- 3.2.3 Intrinsic Carrier Concentration -- 3.3 Charge Transport in Semiconductors -- 3.3.1 Field Currents -- 3.3.2 Diffusion Currents -- 3.4 Doping of Semiconductors -- 3.4.1 n‐Doping -- 3.4.2 p‐Doping -- 3.5 The p-n Junction -- 3.5.1 Principle of Method of Operation -- 3.5.2 Band Diagram of the p-n Junction -- 3.5.3 Behavior with Applied Voltage -- 3.5.4 Diode Characteristics -- 3.6 Interaction of Light and Semiconductors -- 3.6.1 Phenomenon of Light Absorption -- 3.6.1.1 Absorption Coefficient -- 3.6.1.2 Direct and Indirect Semiconductors -- 3.6.2 Light Reflection on Surfaces -- 3.6.2.1 Reflection Factor -- 3.6.2.2 Antireflection Coating -- Chapter 4 Structure and Method of Operation of Solar Cells -- 4.1 Consideration of the Photodiode -- 4.1.1 Structure and Characteristics -- 4.1.2 Equivalent Circuit -- 4.2 Method of Function of the Solar Cell -- 4.2.1 Principle of the Structure -- 4.2.2 Recombination and Diffusion Length -- 4.2.3 What Happens in the Individual Cell Regions? -- 4.2.3.1 Absorption in the Emitter -- 4.2.3.2 Absorption in the Space Charge Region -- 4.2.3.3 Absorption Within the Diffusion Length of the Electrons -- 4.2.3.4 Absorption Outside the Diffusion Length of the Electrons -- 4.2.4 Back‐surface Field -- 4.3 Photocurrent -- 4.3.1 Absorption Efficiency -- 4.3.2 Quantum Efficiency -- 4.3.3 Spectral Sensitivity. 4.4 Characteristic Curve and Characteristic Parameters -- 4.4.1 Short‐circuit Current ISC -- 4.4.2 Open‐circuit Voltage VOC -- 4.4.3 Maximum Power Point (MPP) -- 4.4.4 Fill Factor (FF) -- 4.4.5 Efficiency η -- 4.4.6 Temperature Dependence of Solar Cells -- 4.5 Electrical Description of Real Solar Cells -- 4.5.1 Simplified Model -- 4.5.2 Standard Model (Single‐diode Model) -- 4.5.3 Two‐diode Model -- 4.5.4 Determining the Parameters of the Equivalent Circuit -- 4.6 Considering Efficiency -- 4.6.1 Spectral Efficiency -- 4.6.2 Theoretical Efficiency -- 4.6.3 Losses in Real Solar Cells -- 4.6.3.1 Optical Losses, Reflection on the Surface -- 4.6.3.2 Electrical Losses and Ohmic Losses -- 4.7 High‐efficiency Cells -- 4.7.1 Buried‐contact Cell -- 4.7.2 Point‐contact Cell (IBC Cell) -- 4.7.3 PERL and PERC Cell -- Chapter 5 Cell Technologies -- 5.1 Production of Crystalline Silicon Cells -- 5.1.1 From Sand to Silicon -- 5.1.1.1 Production of Polysilicon -- 5.1.1.2 Production of Monocrystalline Silicon -- 5.1.1.3 Production of Multicrystalline Silicon -- 5.1.2 From Silicon to Wafer -- 5.1.2.1 Wafer Production -- 5.1.2.2 Wafers from Ribbon Silicon -- 5.1.3 Production of Standard Solar Cells -- 5.1.4 Production of Solar Modules -- 5.2 Cells of Amorphous Silicon -- 5.2.1 Properties of Amorphous Silicon -- 5.2.2 Production Process -- 5.2.3 Structure of the Pin Cell -- 5.2.4 Staebler-Wronski Effect -- 5.2.5 Stacked Cells -- 5.2.6 Combined Cells of Micromorphous Material -- 5.2.7 Integrated Series Connection -- 5.3 Further Thin Film Cells -- 5.3.1 Cells of Cadmium‐Telluride -- 5.3.2 CIS Cells -- 5.4 Hybrid Wafer Cells -- 5.4.1 Combination of c‐Si and a‐Si (HIT Cell) -- 5.4.2 Stacked Cells of III/V Semiconductors -- 5.5 Other Cell Concepts -- 5.6 Concentrator Systems -- 5.6.1 Principle of Radiation Bundling -- 5.6.2 What Is the Advantage of Concentration?. 5.6.3 Examples of Concentrator Systems -- 5.6.4 Advantages and Disadvantages of Concentrator Systems -- 5.7 Ecological Questions on Cell and Module Production -- 5.7.1 Environmental Effects of Production and Operation -- 5.7.1.1 Example of Cadmium‐Telluride -- 5.7.1.2 Example of Silicon -- 5.7.2 Availability of Materials -- 5.7.2.1 Silicon -- 5.7.2.2 Cadmium‐Telluride -- 5.7.2.3 Cadmium Indium Selenide -- 5.7.2.4 III/V Semiconductors -- 5.7.3 Energy Amortization Time and Yield Factor -- 5.8 Summary -- Chapter 6 Solar Modules and Solar Generators -- 6.1 Properties of Solar Modules -- 6.1.1 Solar Cell Characteristic Curve in All Four Quadrants -- 6.1.2 Parallel Connection of Cells -- 6.1.3 Series Connection of Cells -- 6.1.4 Use of Bypass Diodes -- 6.1.4.1 Reducing Shading Losses -- 6.1.4.2 Prevention of Hotspots -- 6.1.5 Typical Characteristic Curves of Solar Modules -- 6.1.5.1 Variation of the Irradiance -- 6.1.5.2 Temperature Behavior -- 6.1.6 Special Case Thin‐film Modules -- 6.1.7 Examples of Data Sheet Information -- 6.2 Connecting Solar Modules -- 6.2.1 Parallel Connection of Strings -- 6.2.2 What Happens in Case of Cabling Errors? -- 6.2.3 Losses Due to Mismatching -- 6.2.4 Smart Installation in Case of Shading -- 6.3 Direct Current Components -- 6.3.1 Principle of Plant Construction -- 6.3.2 Direct Current Cabling -- 6.4 Types of Plants -- 6.4.1 Ground‐mounted Plants -- 6.4.2 Flat‐roof Plants -- 6.4.3 Pitched‐roof Systems -- 6.4.4 Facade Systems -- Chapter 7 System Technology of Grid‐connected Plants -- 7.1 Solar Generator and Load -- 7.1.1 Resistive Load -- 7.1.2 DC/DC Converter -- 7.1.2.1 Idea -- 7.1.2.2 Buck Converter -- 7.1.2.3 Boost Converter -- 7.1.3 MPP Tracker -- 7.2 Construction of Grid‐connected Systems -- 7.2.1 Feed‐in Variations -- 7.2.2 Plant Concepts -- 7.3 Construction of Inverters -- 7.3.1 Tasks of the Inverter. 7.3.2 Line‐commutated and Self‐commutated Inverter -- 7.3.3 Inverters Without Transformers -- 7.3.4 Inverters with Mains Transformer -- 7.3.5 Inverters with HF Transformer -- 7.3.6 Three‐phase Feed‐in -- 7.3.7 Further Clever Concepts -- 7.4 Efficiency of Inverters -- 7.4.1 Conversion Efficiency -- 7.4.2 European Efficiency -- 7.4.3 Clever MPP Tracking -- 7.5 Dimensioning of Inverters -- 7.5.1 Power Dimensioning -- 7.5.2 Voltage Dimensioning -- 7.5.3 Current Dimensioning -- 7.6 Requirements of the Grid Operators -- 7.6.1 Prevention of Stand‐Alone Operation -- 7.6.2 Maximum Feed‐in Power -- 7.6.3 Reactive Power Provision -- 7.7 Safety Aspects -- 7.7.1 Earthing of the Generator and Lightning Protection -- 7.7.2 Fire Protection -- Chapter 8 Storage of Solar Energy -- 8.1 Principle of Solar Storage -- 8.2 Batteries -- 8.2.1 Lead‐acid Battery -- 8.2.1.1 Principle and Build‐up -- 8.2.1.2 Types of Lead Batteries -- 8.2.1.3 Battery Capacity -- 8.2.1.4 Voltage Progression -- 8.2.1.5 Summary -- 8.2.2 Charge Controllers -- 8.2.2.1 Series Controller -- 8.2.2.2 Shunt Controller -- 8.2.2.3 MPP Controller -- 8.2.2.4 Examples of Products -- 8.2.3 Lithium Ion Battery -- 8.2.3.1 Principle and Build‐up -- 8.2.3.2 Reactions During Charging and Discharging -- 8.2.3.3 Material Combinations and Cell Voltage -- 8.2.3.4 Safety Aspects -- 8.2.3.5 Charging Procedures -- 8.2.3.6 Battery Design -- 8.2.3.7 Lifespan -- 8.2.3.8 Application Areas -- 8.2.3.9 Summary -- 8.2.4 Sodium Sulfur Battery -- 8.2.4.1 Principle and Build‐up -- 8.2.4.2 Peculiarities of the High Temperature Battery -- 8.2.4.3 Sodium Sulfur Batteries in Practice -- 8.2.4.4 Summary -- 8.2.5 Redox Flow Battery -- 8.2.5.1 Principle and Build‐up -- 8.2.5.2 Behavior in Practice -- 8.2.5.3 Concrete Applications -- 8.2.5.4 Summary -- 8.2.6 Comparison of the Different Battery Types. 8.3 Storage Use for Increase of Self‐consumption. EBL201807 SzGeCERN Engineering EBL Photovoltaic power generation BOOK 1st ed. 2013 1641774 https://cds.cern.ch/auth.py?r=EBLIB_P_5405937 ebook 201807 n 201828 21 PUBLIC BOOK DELETED 2631153 SzGeCERN 20210421204516.0 9780128129029 print version 9780128129036 electronic version electronic version oai:cds.cern.ch:2631153 cerncds:BOOK EBL 5399303 eng TJ808 .B744 2018 621.3126 Breeze, Paul Power system energy storage technologies San Diego, CA Elsevier Science & Technology 2018 101 p ebook Front Cover -- Power System Energy Storage Technologies -- Copyright Page -- Contents -- 1 An Introduction to Energy Storage Technologies -- An Energy Storage Overview -- The History of Energy Storage Systems -- Types of Energy Storage Technology -- Global Energy Storage Capacity -- 2 Pumped Storage Hydropower -- Pumped Storage Hydropower Plant Design -- Undersea Pumped Storage -- Turbines and Motors -- Plant Capacity -- 3 Compressed Air Energy Storage -- The Compressed Air Energy Storage Principle -- Compressed Air Storage -- Turbine Technology and Compressed Air Energy Storage Cycles -- Adiabatic Compressed Air Energy Storage -- Isothermal Compressed Air Energy Storage -- Liquid Air Energy Storage -- 4 Large-Scale Batteries -- The Battery Principle -- Lead-Acid Batteries -- Nickel Cadmium Batteries -- Lithium Batteries -- Sodium Sulfur Batteries -- Flow Batteries -- Electric Vehicles -- 5 Superconducting Magnetic Energy Storage -- The Superconducting Energy Storage Principle -- Applications of SMES -- 6 Flywheels -- The Flywheel Principle -- Flywheel Performance Characteristics -- Flywheel Applications -- 7 Super-Capacitors -- Energy Storage Capacitor Principles -- Performance Characteristics -- Applications -- 8 Hydrogen Energy Storage -- The Principles of Hydrogen Energy Storage -- Performance Characteristics -- Applications of Hydrogen Energy Storage -- 9 The Environmental Impact of Energy Storage Technologies -- Technology-Specific Environmental Considerations -- The Environmental Importance of Energy Storage -- 10 The Cost and Economics of Energy Storage -- Levelized Cost Model -- Capital Costs -- Levelized Cost of Energy Storage -- Index -- Back Cover. EBL201807 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5399303 ebook n 201828 201807 21 PUBLIC https://catalogue.library.cern/legacy/2631153 BOOK MIGRATED 2631140 SzGeCERN 20210421204518.0 9780784414927 print version 9780784481097 electronic version electronic version oai:cds.cern.ch:2631140 cerncds:BOOK EBL 5394344 eng TK2458.F68 C66 2018 621.31/3 Concrete foundations for turbine generators analysis, design, and construction Reston, VA American Society of Civil Engineers 2018 267 p ebook Manuals and reports on engineering practice 136 Mop_136 _online.pdf -- MANUALS AND REPORTS ON ENGINEERING PRACTICE -- CONTENTS -- PREFACE -- ACKNOWLEDGMENTS -- CHAPTER 1: INTRODUCTION -- 1.1 Background -- 1.2 Purpose -- 1.3 Scope and Limitations -- 1.4 Abbreviations and Acronyms -- 1.5 Foundation Terms -- References -- CHAPTER 2: TURBINE GENERATOR EQUIPMENT -- 2.1 Introduction -- 2.2 Main Components -- 2.3 Layout Configurations -- 2.4 Foundation Design Information -- 2.5 Installation -- 2.6 Operation -- CHAPTER 3: PRELIMINARY TURBINE GENERATOR FOUNDATION LAYOUT AND SIZING -- 3.1 Introduction -- 3.2 Foundation Types and General Design Information -- 3.3 Preliminary Design: Initial Foundation Sizing -- 3.4 Pile Layout -- References -- CHAPTER 4: FOUNDATION LOADS AND LOAD COMBINATIONS -- 4.1 Introduction -- 4.2 Foundation and Equipment Self-Weights (Dead Loads) -- 4.3 Equipment Loads during Normal Operation -- 4.4 Emergency Operation Loads -- 4.5 Catastrophic Equipment Loads -- 4.6 Environmental Loads -- 4.7 Installation and Maintenance Loads -- 4.8 Concrete Shrinkage and Creep Effects -- 4.9 Load Combination Considerations -- References -- CHAPTER 5: MODELING OF THE SOIL AND PILE RESPONSE TO DYNAMIC LOADS -- 5.1 Introduction -- 5.2 Dynamic Impedance Definition -- 5.3 Dynamic impedance of rigid foundations -- 5.4 Dynamic Impedance of Flexible Foundations -- 5.5 Pile-Supported Foundations -- 5.6 Evaluation of Soil Parameters -- References -- CHAPTER 6: FINITE ELEMENT MODELING -- 6.1 Introduction -- 6.2 General Modeling Considerations -- 6.3 Element Selection -- 6.4 Mesh Sensitivity -- 6.5 Geometry Modeling -- 6.6 Boundary Condition Modeling -- 6.7 Mass Modeling -- 6.8 Load Modeling -- 6.9 Damping Modeling -- 6.10 Sectional and Material Properties -- 6.11 Model Verification -- 6.12 Averaging of FE Results -- References -- CHAPTER 7: SERVICEABILITY ANALYSIS AND ACCEPTANCE CRITERIA. 7.1 Introduction -- 7.2 Dynamic Serviceability Analysis -- 7.3 Static Serviceability Analysis -- 7.4 Serviceability Acceptance Criteria -- References -- CHAPTER 8: STRENGTH AND STABILITY DESIGN -- 8.1 Introduction -- 8.2 Load Combinations for Strength Design -- 8.3 Seismic Load and Ductile Design Considerations -- 8.4 Redundancy Factor (ρ) and Overstrength Factor (Ωₒ) -- 8.5 Accidental Torsion -- 8.6 FE Results for Strength Design -- 8.7 Basemat Reinforcement Design -- 8.8 Column, Block, Pier, and Wall Reinforcement Design -- 8.9 Tabletop Reinforcement Design -- 8.10 Additional Reinforcement Requirements -- 8.11 Volumetric Reinforcements -- 8.12 Pile Capacity Check -- 8.13 Soil-Bearing Pressure Check -- 8.14 Stability Evaluation -- References -- CHAPTER 9: EMBEDDED ITEMS -- 9.1 Introduction -- 9.2 Types of Embedded items in Turbine Generator Foundations -- 9.3 Structural Design for Embedded Items -- 9.4 Grout Pockets, Grout Dams, and Grout -- References -- CHAPTER 10: VIBRATION ISOLATED FOUNDATIONS -- 10.1 Introduction -- 10.2 Design Properties of Spring Elements and Viscous Dampers -- 10.3 Typical Layout of VIS for Large STG Foundations -- 10.4 Dynamic Characteristics of Elastically Supported TG Foundations -- 10.5 Operational Behavior -- 10.6 Emergency Conditions -- 10.7 Seismic Considerations -- 10.8 Spring-Mounted Condensers -- 10.9 Gas Turbine Foundations -- 10.10 Retrofit of Turbine Foundations -- 10.11 Selective Application Examples -- 10.12 Special Considerations for TG Foundations with VIS -- References -- CHAPTER 11: CONSTRUCTION CONSIDERATIONS -- 11.1 Introduction -- 11.2 Construction Joints -- 11.3 Construction Tolerances -- 11.4 Concrete Placement -- 11.5 Modularization -- 11.6 Post-Installed Anchors and Interference with Reinforcement -- 11.7 Temporary Construction Loads -- 11.8 Condenser Installation. 11.9 Adjustable Vertical Support Devices -- 11.10 Stay-in-Place Formwork -- References -- APPENDIXES -- APPENDIX A: DYNAMIC IMPEDANCE OF SOIL-SUPPORTED RIGID FOUNDATIONS -- A.1 Dynamic Impedance Formulas for Rigid Foundations on Homogeneous Soil -- A.2 Impedance Functions of Rigid Foundations Using the Cone Model Approach -- References -- APPENDIX B: DYNAMIC IMPEDANCE OF PILE-SUPPORTED FOUNDATIONS -- B.1 Impedance Functions of Single Piles on Homogeneous and Parabolic Soil Profiles -- B.2 Dynamic Impedance of Pile Groups -- References -- APPENDIX C: DYNAMIC IMPEDANCE CALCULATION EXAMPLES -- C.1 Vertical Response of a Rigid Foundation -- C.2 Horizontal and Rocking Response of a Rigid Foundation -- C.3 Dynamic Impedances of Surface Foundation -- C.4 Pile Group Effects -- C.5 Dynamic Impedance of a Large Pile Group -- C.6 Negative Dynamic Impedance -- References -- INDEX. MOP 136 provides practical guidance for the analysis, design, and construction of concrete foundations for turbine generators. EBL201807 Engineering SzGeCERN EBL Concrete footings-Design and construction EBL Steam-turbines-Foundations-Design and construction BOOK Liu, Hongchun https://cds.cern.ch/auth.py?r=EBLIB_P_5394344 ebook n 201828 201807 21 PUBLIC https://catalogue.library.cern/legacy/2631140 BOOK MIGRATED 2631125 SzGeCERN 20210421204520.0 9780429865381 electronic version electronic version 9789814774499 print version oai:cds.cern.ch:2631125 cerncds:BOOK EBL 5391687 eng QC476.7 .P467 2018 535.35 Dhoble, Sanjay J Phosphors synthesis and applications Milton Pan Stanford Publishing 2018 493 p ebook Cover -- Half Title -- Title -- Copyright -- Contents -- Preface -- Chapter 1. Hydrodynamic Aspects on Sonoluminescence -- 1.1 Introduction -- 1.2 Sonoluminescence from a Single Bubble -- 1.2.1 Hydrodynamics of a Single-Bubble Motion under Ultrasound -- 1.2.2 Numerical Integration of Equations for Single-Bubble Motion -- 1.2.2.1 SBSL in water -- 1.2.2.2 SBSL in sulfuric acid solutions -- 1.3 Radiation Mechanism for a Sonoluminescing Gas Bubble -- 1.3.1 Theory -- 1.3.2 Spectrum Measurements -- 1.3.3 Pulse Width Measurements -- 1.4 Multibubble Sonoluminescence -- 1.4.1 Introduction -- 1.4.2 Hydrodynamics for a Bubble Cluster -- 1.4.3 Applications -- 1.5 Conclusions -- Chapter 2. Persistent Luminescence: Cerium-Doped Phosphors -- 2.1 Introduction -- 2.2 Historical Perspective -- 2.3 Properties of Persistent Materials -- 2.4 The Modern Era -- 2.5 Mechanisms -- 2.6 Bioimaging -- 2.7 Localized Mechanism of Charge Recombination -- 2.8 Cerium-Doped Luminescent Materials -- 2.9 Influence of Symmetry and Coordination -- 2.10 Cerium-Doped Long Persistent Materials -- 2.11 Cerium-Doped White, Long Persistent Materials -- 2.12 Conclusions and Future Direction -- Chapter 3. Structural and Luminescence Characteristics of LiNa3-xP2O7:xRE3+ Tricolor-Emitting Phosphors for White-Light Emission -- 3.1 Introduction -- 3.2 Synthesis of Phosphate-Based Phosphors -- 3.3 Characterization and Analysis of Phosphors -- 3.3.1 XRD Analysis -- 3.3.2 FTIR Analysis -- 3.3.3 Morphological Studies -- 3.3.4 Photoluminescence Studies on Tb3+-Doped LiNa3-xP2O7 Phosphors -- 3.3.5 Photoluminescence Studies on Eu3+-Doped LiNa3-xP2O7 Phosphors -- 3.3.6 Photoluminescence Studies on Dy3+-Doped LiNa3-xP2O7 Phosphors -- 3.4 Conclusion -- Chapter 4. Recent Advances in Sulfate- and Sulfide-Based Phosphors Used in Versatile Applications -- 4.1 Introduction. 4.2 Radiation Dosimetry Phosphors -- 4.2.1 Sulfates and Oxysulfates -- 4.2.2 Halosulfates -- 4.3 Phosphors for Lighting and Display Devices -- 4.3.1 Sulfates and Oxysulfates -- 4.3.2 Halosulfates -- 4.3.3 Sulfides and Oxysulfides -- 4.4 Conclusions -- Chapter 5. Luminescent Down-Conversion Materials as Spectral Convertors for Photovoltaic Applications -- 5.1 Introduction -- 5.2 Luminescent Materials (Phosphors) as Spectral Convertors -- 5.3 Down-Conversion Mechanisms -- 5.3.1 Quantum Cutting Using Host Lattice States -- 5.3.2 Quantum Cutting on Single Rare Earth Ions -- 5.3.3 Down-Conversion Using Rare Earth Ion Pairs -- 5.4 Down-Shifting -- 5.5 Down-Conversion Mechanisms for PV Applications -- 5.5.1 Down-Conversion in Si-Based PV Cells -- 5.5.2 Down-Conversion in Dye-Sensitized Solar Cells -- 5.5.3 Down-Conversion in Organic Solar Cells -- 5.5.3.1 Organic-inorganic hybrid solar cells -- 5.6 Conclusions -- Chapter 6. Development of Red Light-Emitting Electroluminescent Cell with a Eu(TTA)3bipy Hybrid Organic Complex as an Emissive Layer -- 6.1 Introduction -- 6.2 Organic Light-Emitting Diodes -- 6.3 OLED Configuration -- 6.4 Light-Emitting Mechanism -- 6.5 Rare Earth b-Diketonates as an Emissive Layer -- 6.6 Experiment -- 6.6.1 Reagents and Solvents -- 6.6.2 Synthesis Procedure -- 6.6.3 Results and Discussion -- 6.7 Fabrication of Single-Layer OLEDs -- 6.7.1 Characterization of an OLED Device -- 6.7.1.1 Voltage-current (V-I) characteristics -- 6.7.1.2 Brightness-voltage (B-V) characteristics -- 6.7.1.3 Electroluminescence -- 6.8 Techniques to Improve the Efficiency of an OLED -- 6.9 Traits of OLEDs -- 6.10 Impact of OLEDs on the Environment -- 6.11 Limitations -- 6.12 Applications of OLEDs -- 6.13 Conclusions -- Chapter 7. Optical Analysis of RE3+ (RE = Eu3+, Tb3+, Sm3+, and Dy3+):Ca2Gd2W3O14 Phosphors -- 7.1 Introduction. 7.2 Experimental -- 7.2.1 Synthesis -- 7.2.2 Characterization -- 7.3 Results and Discussion -- 7.3.1 Eu3+:Ca2Gd2W3O14 Phosphors -- 7.3.1.1 X-ray diffraction patterns -- 7.3.1.2 SEM and EDAX analyses -- 7.3.1.3 FTIR analysis -- 7.3.1.4 Photoluminescence studies -- 7.3.1.5 Mechanoluminescence studies -- 7.3.2 Tb3+:Ca2Gd2W3O14 Phosphor -- 7.3.2.1 Structural, morphological, elemental, and FTIR studies of Sm3+: and Dy3+:Ca2Gd2W3O14 phosphors -- 7.3.2.2 Photoluminescence studies -- 7.3.3 Sm3+: and Dy3+:Ca2Gd2W3O14 Phosphors -- 7.3.3.1 Structural, morphological, elemental, and FTIR studies of Sm3+: and Dy3+:Ca2Gd2W3O14 phosphors -- 7.3.3.2 Photoluminescence studies -- 7.4 Conclusions -- Chapter 8. Eu3+-Based Orange-Red-Emitting Inorganic Color Convertors: An Overview -- 8.1 Introduction -- 8.2 Signficance of Trivalent Europium (eu3+) Ions -- 8.2.1 Importance of the Charge Transfer Band -- 8.3 Importance of M-o-Eu Angle on Energy Transfer -- 8.4 Eu3+ Luminesence in Scheelite and Related Structures -- 8.4.1 CaMo4 and CdMo4:Eu3+(M = Mo/W -- 8.4.2 Double Tungstate and Molybdates [AB(MO4)2]:Eu3 -- 8.4.3 Eu3+ Luminescence in ALn(MO4)2 (A = Na, Li, Ag -- Ln = Y, La, Gd -- M = W, Mo -- 8.4.4 Eu3+ Luminescence in AgGd(MO4)2 (M = W, Mo -- 8.4.5 White Light Generation in LiGd(WO4)2:RE3 -- 8.4.6 M5RE(BO4)4 (M = Li, Na, K -- RE = La, Eu, Y -- B = W, Mo -- 8.4.7 Li3.5Ln1.5(MoO4)4 (Ln = Y, Eu -- 8.4.8 Molybdates M2Gd4(MoO4)7 (M = Li, Na -- 8.4.9 Ca4GdNbMo4O20 with Powellite-Type Structure -- 8.4.10 R2Zr3(MoO4)9:Eu3+ (R = La, Sm, Gd -- 8.4.11 LaBWO6:Eu3 -- 8.4.12 Gd3B(W,Mo)O9:Eu3 -- 8.4.13 La3BW1-xMoxO9:Eu3 -- 8.4.14 Y2MoO6:Eu3 -- 8.4.15 Lu2MoO6:Eu3 -- 8.4.16 Eu3+ Luminescence in Y6WxMo(1-x)O12 -- 8.5 Perovskite and Double-Perovskite -- 8.5.1 Spectral Properties of Double-Perovskites -- 8.5.2 Eu3+ Luminescence in Perovskite Structure. 8.5.3 NaREMgWO6 (RE = La, Gd, Y -- 8.5.4 A2LnMO6 (A = Ca, Sr, Ba -- Ln = La, Gd, Y -- M = Sb, Nb, Ta -- 8.6 Pyrochlore Structures -- 8.7 Eu3+-Doped Ternary Rare Earth Antimonates R3SbO7 (R = La, Gd, Y -- 8.8 Garnet -- 8.9 Eu3+-Rich Phosphors without Concentration Quenching -- 8.9.1 Li3Ba2La3(MoO4)8:Eu3 -- 8.9.2 Li3Ba2Gd3(MoO4)8:Eu3 -- 8.9.3 Li3BaSrLn3(WO4)8:Eu3 -- 8.9.4 Li3BaSrGd3-xEux(MO4)8 (M = W/Mo -- 8.10 EuIII Complexes for White LEDs -- 8.10.1 Significance of Energy Transfer from Ligand to Eu3+ (5D0) Level -- 8.11 Conclusions -- Chapter 9. Molecular Designing of Luminescent Europium-Metal Complexes for OLEDs: An Overview -- 9.1 Introduction: Basic Approach and the Nitty-Gritty -- 9.1.1 Orientation of Applications -- 9.1.2 Assets and Historical Development -- 9.1.3 Classical Energy Transfer Excited States and Design Strategy -- 9.1.4 Electroluminescence -- 9.1.5 Theme of the Present Study -- 9.2 Luminescent Eu(III) Complexes -- 9.3 TTA as an Anionic Ligand -- 9.3.1 TTA Modification -- 9.3.2 Modification of Phen -- 9.3.3 Both TTA and Phen Modification -- 9.3.4 Phosphine Oxide (P=O)-Based Complexes -- 9.3.5 Pyridine Based Complexes -- 9.3.6 Multi-Dentate-Nitrogen Beard Heterocyclic Availed Complexes -- 9.4 DBM as an Anionic Ligand -- 9.4.1 Modification of DBM -- 9.4.2 Replacement of DBM Equivalents by Other Ligands -- 9.4.3 Modification of Phen -- 9.4.4 Both DBM and Phen Modification -- 9.4.5 Spiro Complexes -- 9.4.6 Phosphine Oxide (P=O)-Based Complexes -- 9.4.7 Pyridine-Based Complexes -- 9.4.8 Multinitrogen Beard Heterocyclic Availed Complexes -- 9.5 Conclusion -- Chapter 10. An Assorted Outlook on the Versatility of Thermoluminescence Techniques -- 10.1 Introduction -- 10.2 Chronology of Development -- 10.3 Mechanism of Thermoluminescence -- 10.3.1 Band Theory -- 10.3.2 The Mobile Interstitial Model. 10.3.2.1 Phototransfer thermoluminescence and its evolution -- 10.3.3 The Track Interaction Model -- 10.3.4 The Phenomenological Model -- 10.3.4.1 Supralinearity -- 10.3.4.2 Sensitization -- 10.4 Preparative Methods for TL Dosimetric Materials -- 10.4.1 Methods for Polycrystalline Powder Preparation -- 10.4.1.1 Precipitation -- 10.4.1.2 Recrystallisation from a solution -- 10.4.1.3 Combustion synthesis -- 10.4.1.4 Sol-gel technique -- 10.4.1.5 Solid-state diffusion -- 10.4.2 Methods for Single-Crystal Synthesis -- 10.4.2.1 The Czochralski technique -- 10.4.2.2 The Bridgman technique -- 10.4.2.3 The Verneuil method -- 10.4.2.4 Zone melting -- 10.4.2.5 The Kyropoulos method -- 10.5 Evaluation of Essential Parameters Using TL Glow Curve Analysis -- 10.5.1 Initial Rise Methods -- 10.5.2 The Ilich Method -- 10.5.3 Peak Shape Method or Chen's Method -- 10.5.4 The Isothermal Decay Method -- 10.5.4.1 First-order kinetics -- 10.5.4.2 General-order kinetics -- 10.5.5 The Variable Heating Rate Method -- 10.6 Applications -- 10.6.1 Important Areas of Radiation Dosimetry -- 10.6.1.1 Personnel monitoring -- 10.6.1.2 Environmental dosimetry -- 10.6.1.3 Neutron dosimetry -- 10.6.1.4 Charged particle dosimetry -- 10.6.1.5 Dosimetry in medical applications of radiation -- 10.6.1.6 Retrospective dosimetry -- 10.6.1.7 High-dose dosimetry -- 10.6.1.8 Space dosimetry -- 10.6.1.9 Ultraviolet dosimetry -- 10.6.1.10 Measurement of external radiation exposure in highbackground- radiation areas -- 10.6.2 Applications of Thermoluminescence to Archaeology -- 10.6.3 Prospecting of Radioactive Uranium-Bearing Ores -- 10.6.4 Long Persistent Luminescent Phosphors -- 10.6.5 Authenticity Testing of a Ceramic Piece of Art/Pottery -- 10.6.6 TL of Nanophosphors -- 10.6.7 Thermoluminescence Emission from Photosynthetic Systems -- 10.7 Recent Trends in TLDs. 10.7.1 Sulfates. EBL201807 Other Fields of Physics SzGeCERN BOOK Raju, B Deva Prasad Singh, Vijay https://cds.cern.ch/auth.py?r=EBLIB_P_5391687 ebook n 201828 201807 21 PUBLIC https://catalogue.library.cern/legacy/2631125 BOOK MIGRATED 2631122 SzGeCERN 20210421204520.0 9781787561335 print version 9781787561342 electronic version electronic version oai:cds.cern.ch:2631122 cerncds:BOOK EBL 5391441 eng QC760 .O685 2018 537.0151 Salvini, Alessandro Optimization and inverse problems in electromagnetism Bradford Emerald 2018 465 p ebook Cover -- EDITORIAL ADVISORY BOARD -- Analytical and numerical models of the magnetoacoustic tomography with magnetic induction -- Application of PSO and TLBO algorithms with neural network for optimal design of electrical machines -- Comparison of three space mapping techniques on electromagnetic design optimization -- Optimal shape design of multi layered IPMSM using adaptive dynamic Taylor Kriging model -- Design by optimization of controlled static converters with EMC filters in aeronautics -- Optimal operation of building microgrids - comparison with mixed-integer linear and continuous non-linear programming approaches -- Pareto-based branch and bound algorithm for multiobjective optimization of a safety transformer -- Improvement of topology optimization method based on level set function in magnetic field problem -- Comparing life cycle cost and environmental impact optimizations of a low voltage dry type distribution transformer -- Use of SQP optimization algorithm to size a multiphysical system -- Solving the electrical impedance tomography inverse problem for logarithmic conductivity -- A neural network for electromagnetic based ore sorting -- Comparative study of methods for optimization of electromagnetic devices with uncertainty -- Topology optimization of magnetic shielding using level-set function combined with element-based topological derivatives -- Optimal design of spoke type motor and magnetizer using FEM and RSM -- Application of the corrected response surface methodology for the optimization of a permanent magnet synchronous machine -- Nonlinear analysis of VCO jitter generation using Volterra series -- Nonlinear impedance boundary condition for 2D BEM -- Observer based control scheme for DC-DC boost converter using sigma-delta modulator. An approach based on ANFIS and input selection procedure for microwave characterization of dielectric materials -- Analytical study and simulation of a transformer-less photovoltaic grid-connected inverter with a delta-type tri-direction clamping cell for leakage current elimination -- Taylor series expansion for evaluating the bounds of electric potentials in an electrostatic system with interval parameters -- An energy-efficient scalar control taking core losses into account -- Design and simulation of electro-thermal compliant MEMS logic gates -- Design and prototyping of the novel axial flux-switching permanent-magnet motor -- Event triggered non-inverting chopper fed networked DC motor speed synchronization -- Predicting the unstable period-1 orbit (UPO-1) of DC-DC converters by extracting harmonic content -- Defect localization and characterization in eddy current nondestructive testing by change detection and global optimization -- Modified MPC based grid-connected five-level inverter for photovoltaic applications -- Numerical modelling on partialdischarge in HVDC XLPE cable. EBL201807 SzGeCERN Other Fields of Physics EBL Electromagnetism-Mathematics EBL Inverse problems (Differential equations) BOOK COMPEL 2 https://cds.cern.ch/auth.py?r=EBLIB_P_5391441 ebook 201807 n 201828 21 PUBLIC https://catalogue.library.cern/legacy/2631122 BOOK MIGRATED 2631050 SzGeCERN 20180822202550.0 9781508164678 (electronic bk.) electronic version 9781508164272 electronic version EBL 5384503 eng 621.31/2134 Bard, Jonathan Hydroelectricity harnessing the power of water New York, NY Rosen Publishing Group 2017 26 p Powered up! a stem approach to energy sources Cover -- Title -- Copyright -- CONTENTS -- The Power of Water -- Waterwheels and Beyond -- Dams and Reservoirs -- Run-of-the-River Generation -- Tidal Stream Generators -- Microhydropower and Picohydropower -- Sustainability -- Environmental Concerns -- Technological Advances -- The Future of Hydropower -- GLOSSARY -- Index -- WEBSITES -- Back Cover. 9781508164272 print version oai:cds.cern.ch:2631050 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5384503 ebook ebook EBL201807 Engineering SzGeCERN BOOK n 201828 201807 21 PUBLIC BOOK DELETED 2630990 SzGeCERN 20210421204529.0 9781627059770 electronic version electronic version oai:cds.cern.ch:2630990 cerncds:BOOK EBL 5326826 eng R859.7.A78 .Z476 2018 610.28563 Boger, Jennifer Zero-effort technologies considerations, challenges, and use in health, wellness, and rehabilitation 2nd ed. San Rafael, CA Morgan & Claypool 2018 134 p ebook Synthesis lectures on assistive, rehabilitative, and health-preserving technologies Intro -- Preface -- Acknowledgments -- Overview -- Introduction to Zero Effort Technologies -- 2.1 What is a ZET? -- 2.2 Overview of Pervasive Computing -- 2.2.1 Pervasive Computing Principles -- 2.2.2 Elements of Pervasive Computing Systems -- 2.2.3 Security and Privacy in Pervasive Computing -- 2.3 Overview of Technology Principles -- 2.3.1 Commonly Used Sensing Techniques -- 2.3.2 Commonly Used Machine Learning Approaches -- 2.3.3 Modeling Interactions between Users and ZETs -- Designing ZETs -- 3.1 Users as Collaborators -- 3.2 Common Design Paradigms -- 3.2.1 Universal Design -- 3.2.2 User-Centred Design -- 3.2.3 Empathy-based Design -- 3.2.4 Incorporating Privacy in the Design Process -- 3.3 Ethical Considerations Regarding ZETs -- 3.4 Key Design Criteria for ZETs -- 3.4.1 Develop for Real-world Contexts -- 3.4.2 Complement Existing Abilities -- 3.4.3 Use Appropriate and Intuitive Interfaces -- 3.4.4 Encourage Users' Unteraction with Their Environment -- 3.4.5 Support the Caregiver -- 3.4.6 Complement Each Individual's Capabilities and Needs -- 3.4.7 Protect the Users' Privacy and Enable Control over Preferences -- 3.4.8 Ensure Expandability and Compatibility -- Building and Evaluating ZETs -- 4.1 In Silico Testing -- 4.2 Benchtop Trials -- 4.3 Actor Simulations -- 4.4 Real-world Trials -- Examples of ZETs -- 5.1 Areas of Application -- 5.2 Overview and Comparison of Examples -- 5.3 The Detect Agitation Aggression Dementia (DAAD) Multi-Modal Sensing Network -- 5.4 Ambient Vital Signs (AVS) Monitoring -- 5.5 Non-Contact, Vision-Based, Cardiopulmonary Monitoring (VCPM) System -- 5.6 The COACH -- 5.7 Culinary Assistant and Environmental Safety System -- 5.8 PEAT -- 5.9 Braze™ Obstacle Detection Systems -- 5.10 The HELPER -- 5.11 Ambient Activity Technologies -- 5.12 Autonomous Assistive Robots -- Challenges and Future Directions. 6.1 Challenges to the Development of ZETs -- 6.2 Future Challenges and Considerations -- Conclusions -- Bibliography -- Author Biographies -- Blank Page -- Preface -- Acknowledgments -- Overview -- Introduction to Zero Effort Technologies -- 2.1 What is a ZET? -- 2.2 Overview of Pervasive Computing -- 2.2.1 Pervasive Computing Principles -- 2.2.2 Elements of Pervasive Computing Systems -- 2.2.3 Security and Privacy in Pervasive Computing -- 2.3 Overview of Technology Principles -- 2.3.1 Commonly Used Sensing Techniques -- 2.3.2 Commonly Used Machine Learning Approaches -- 2.3.3 Modeling Interactions between Users and ZETs -- Designing ZETs -- 3.1 Users as Collaborators -- 3.2 Common Design Paradigms -- 3.2.1 Universal Design -- 3.2.2 User-Centred Design -- 3.2.3 Empathy-based Design -- 3.2.4 Incorporating Privacy in the Design Process -- 3.3 Ethical Considerations Regarding ZETs -- 3.4 Key Design Criteria for ZETs -- 3.4.1 Develop for Real-world Contexts -- 3.4.2 Complement Existing Abilities -- 3.4.3 Use Appropriate and Intuitive Interfaces -- 3.4.4 Encourage Users' Unteraction with Their Environment -- 3.4.5 Support the Caregiver -- 3.4.6 Complement Each Individual's Capabilities and Needs -- 3.4.7 Protect the Users' Privacy and Enable Control over Preferences -- 3.4.8 Ensure Expandability and Compatibility -- Building and Evaluating ZETs -- 4.1 In Silico Testing -- 4.2 Benchtop Trials -- 4.3 Actor Simulations -- 4.4 Real-world Trials -- Examples of ZETs -- 5.1 Areas of Application -- 5.2 Overview and Comparison of Examples -- 5.3 The Detect Agitation Aggression Dementia (DAAD) Multi-Modal Sensing Network -- 5.4 Ambient Vital Signs (AVS) Monitoring -- 5.5 Non-Contact, Vision-Based, Cardiopulmonary Monitoring (VCPM) System -- 5.6 The COACH -- 5.7 Culinary Assistant and Environmental Safety System -- 5.8 PEAT -- 5.9 Braze™ Obstacle Detection Systems. 5.10 The HELPER -- 5.11 Ambient Activity Technologies -- 5.12 Autonomous Assistive Robots -- Challenges and Future Directions -- 6.1 Challenges to the Development of ZETs -- 6.2 Future Challenges and Considerations -- Conclusions -- Bibliography -- Author Biographies. EBL201807 Health Physics and Radiation Effects SzGeCERN EBL Artificial intelligence-Medical applications BOOK Young, Victoria Hoey, Jesse Jiancaro, Tizneem Mihailidis, Alex Baecker, Ron https://cds.cern.ch/auth.py?r=EBLIB_P_5326826 ebook n 201828 201807 21 PUBLIC https://catalogue.library.cern/legacy/2630990 BOOK MIGRATED 2630756 SzGeCERN 20210421204532.0 9781119184935 print version 9781119185086 electronic version electronic version oai:cds.cern.ch:2630756 cerncds:BOOK EBL 5228468 eng TA418.7 .L374 2018 621.366 Mittal, K L Laser technology applications in adhesion and related areas Somerset John Wiley & Sons 2018 444 p ebook Adhesion and adhesives : fundamental and applied aspects Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Part 1: Laser Surface Modification and Adhesion Enhancement -- 1 Topographical Modification of Polymers and Metals by Laser Ablation to Create Superhydrophobic Surfaces -- 1.1 Introduction -- 1.2 Wetting Theory -- 1.3 Laser Ablation Background -- 1.3.1 Ablation Mechanics -- 1.3.2 Ablation in Metals -- 1.3.3 Ablation in Polymers -- 1.4 Preparation of Superhydrophobic Surfaces by Laser Ablation -- 1.4.1 Hydrophobic Organic Substrates -- 1.4.2 Hydrophilic Organic Substrates -- 1.4.3 Hydrophilic Substrates with Hydrophobic Coatings -- 1.4.4 Hydrophilic Inorganic Substrates -- 1.4.4.1 Metallic substrates -- 1.4.4.2 Silicon substrates -- 1.4.4.3 Ceramic Substrates -- 1.5 Summary -- References -- 2 Nonablative Laser Surface Modification -- 2.1 Introduction -- 2.2 Part 1 - Nonablative Laser Skin Photorejuvenation -- 2.2.1 Introduction -- 2.2.2 Nonablative Laser-Based Skin Treatments -- 2.2.3 Review of Nonablative Laser-Based Skin Treatments Based on Laser Type -- 2.2.3.1 Lasers Emitting at 532 nm -- 2.2.3.2 Lasers Emitting at 511, 578, 585, and 600 nm Wavelengths -- 2.2.3.3 Lasers Emitting at 780 nm -- 2.2.3.4 Lasers Emitting at 980 nm -- 2.2.3.5 Lasers Emitting at 1064 nm -- 2.2.3.6 Lasers Emitting at 1320 nm -- 2.2.3.7 Lasers Emitting at 1450 nm -- 2.2.3.8 Lasers Emitting at 1540 nm -- 2.2.3.9 Lasers Emitting at 2940 nm -- 2.2.4 Combined Techniques -- 2.2.5 Conclusions for Part 1 - Nonablative Laser Skin Photorejuvenation -- 2.3 Part 2 - Formation of Micro-/Nano-Structures and LIPSS in Materials by Nonablative Laser Processing -- 2.3.1 Introduction -- 2.3.2 Review of Micro-/Nano-Structures and LIPSS -- 2.3.2.1 Micro-/Nano-Structures and LIPSS Formation in Metals -- 2.3.2.2 Micro-/Mano-Structures and LIPSS Formation in Semiconductors. 2.3.2.3 Micro-/Nano-Structures and LIPSS Formation in Dielectrics -- 2.3.2.4 Micro-/Nano-Structures and LIPSS Formation in Polymers -- 2.3.2.5 Micro-/Nano-Structures and LIPSS Formation in Multiple Materials -- 2.3.3 Part 2 -Conclusion for Formation of Micro-/Nano- Structures and LIPSS in Materials by Nonablative Laser Processing -- 2.4 Part 3 - Nonablative Laser Surface Modification to Alter the Surface Properties of Materials -- 2.4.1 Introduction -- 2.4.2 Examples of Nonablative Laser Surface Modification to Alter the Surface Properties of Materials -- 2.4.3 Conclusions for Part 3 - Nonablative Laser Surface Modification to Alter Surface Properties -- 2.5 Summary -- References -- 3 Wettability Characteristics of Laser Surface Engineered Polymers -- 3.1 Introduction -- 3.2 Lasers for Surface Engineering -- 3.2.1 Infrared Lasers for Surface Engineering -- 3.2.2 Ultraviolet Lasers for Surface Engineering -- 3.2.3 Ultrafast Pulsed Lasers for Surface Engineering -- 3.3 Laser Surface-Engineered Topography -- 3.4 Laser Surface-Engineered Wettability -- 3.5 Summary -- References -- 4 Laser Surface Modification for Adhesion Enhancement -- 4.1 Introduction -- 4.1.1 Mechanisms or Theories of Adhesion -- 4.1.2 Methods of Surface Modification for Adhesion Enhancement -- 4.2 Basic Mechanisms of Laser Surface Modification -- 4.2.1 Absorption of Laser Radiation in a Material -- 4.2.1.1 Linear Absorption -- 4.2.1.2 Nonlinear Absorption -- 4.2.2 Photo-Chemical Process -- 4.2.3 Photo-Thermal Process -- 4.2.3.1 Conventional Heat Flow Model -- 4.2.3.2 Two-Temperature Model -- 4.2.3.3 Ablation Rate and Ablation Spot Size -- 4.3 Laser Induced Surface Modification of Metal Substrates to Enhance Adhesion -- 4.3.1 Laser Induced Surface Cleaning and Activation for Adhesion Improvement -- 4.3.2 The Dominant Role of Mechanical Interlocking for Adhesion Improvement. 4.3.3 Laser Surface Patterning -- 4.3.4 Laser Surface Topography Modification to Enhance Adhesion of Hard Coatings on Metals -- 4.3.5 Laser Surface Modification to Enhance Metal-to-Metal Adhesive Bonding -- 4.3.6 Laser Surface Modification of Metal Substrates to Enhance Adhesion of Polymeric Materials -- 4.4 Laser Induced Surface Modification of Polymers and Composites to Enhance Their Adhesion -- 4.4.1 Adhesion Improvement due to Laser Treatment -- 4.4.2 Changes in Surface Morphology of Laser Treated Surfaces -- 4.4.3 Chemical Modification of Laser Treated Surfaces -- 4.5 Summary -- References -- 5 Laser Surface Modification in Dentistry: Effect on the Adhesion of Restorative Materials -- 5.1 Introduction -- 5.2 Dental Structures -- 5.3 Adhesion of Restorative Materials -- 5.4 Laser Light Interaction with the Dental Substrate -- 5.5 Dental Structure Ablation and Influence on Bond Strength of Restorative Materials -- 5.6 Summary -- 5.7 Prospects -- References -- Part 2: Other Applications -- 6 Laser Polymer Welding -- 6.1 Introduction to Laser Polymer Welding -- 6.2 Theoretical Background -- 6.2.1 Reflection, Transmission and Absorption Behaviors -- 6.2.2 Heat Generation and Dissipation -- 6.2.3 Laser Welding Processes -- 6.3 Factors Affecting Polymer Laser Welding -- 6.3.1 Types of Processes for TTLW -- 6.3.2 Adapting Absorption to Welding Process -- 6.3.3 Design of Joint Geometry -- 6.4 Practical Applications -- 6.5 Testing and Quality Control -- 6.6 Future Prospects -- 6.7 Summary -- Acknowledgements -- References -- 7 Laser Based Adhesion Testing Technique to Measure Thin Film-Substrate Interface Toughness -- 7.1 Introduction -- 7.2 Modification of Laser Spallation Technique to Measure Thin Film-Substrate Interface Fracture Toughness -- 7.2.1 Sample Preparation -- 7.2.2 Experimental Procedure and Analysis -- 7.3 Parametric Studies. 7.3.1 Effect of Test Film Thickness -- 7.3.2 Effect of Amplitude of the Stress Pulse -- 7.3.3 Effect of Shape of the Stress Pulse -- 7.3.4 Effect of Thin Film Properties -- 7.3.5 Effect of Thin Film Inertial Layer -- 7.3.6 Effect of Amplitude and Gradient of Residual Stresses on the Thin Film Delamination -- 7.4 Validation of Dynamic Delamination Protocol -- 7.5 Summary -- References -- 8 Laser Induced Thin Film Debonding for Micro-Device Fabrication Applications -- 8.1 Introduction -- 8.2 The Mechanism of Laser Induced Debonding (LID) -- 8.3 Thin Film Patterning by Laser Induced Forward Transfer -- 8.3.1 Background -- 8.3.2 Thin Film Transfer Mechanisms in a LIFT Process -- 8.4 GaN Film Lift-Off for High-Brightness LEDs and High Power Electronics -- 8.4.1 Background -- 8.4.2 The Laser Lift-Off Process -- 8.5 Dielectric Passivation Layer Opening for Interconnect Formation in Crystalline Silicon Solar Cells -- 8.5.1 Background -- 8.5.2 Laser Process for Making Local Contact Openings -- 8.6 Laser Induced Wafer Debonding for Advanced Packaging Applications -- 8.6.1 Background -- 8.6.2 The Laser Induced Wafer Debonding Process -- 8.7 Summary -- References -- 9 Laser Surface Cleaning: Removal of Hard Thin Ceramic Coatings -- 9.1 Introduction -- 9.2 Chemical Etching of Hard Thin Coatings -- 9.3 Typical Experimental Set-up for Excimer Laser Removal of Thin Coatings -- 9.4 Experimental Results on Excimer Laser Removal of Thin Coatings -- 9.4.1 Laser Removal of Titanium Nitride from Tungsten Carbide -- 9.4.1.1 Removal of Titanium Nitride from Tungsten Carbide Cutting Insert -- 9.4.1.2 Removal of Titanium Nitride from Tungsten Carbide Micro-Tool -- 9.4.2 Laser Removal of Titanium Aluminium Nitride from Tungsten Carbide -- 9.4.3 Laser Removal of CrTiAlN Coatings from High Speed Steel -- 9.5 Online Monitoring of Laser Coating Removal Process. 9.5.1 Online Monitoring Using Probe Beam Reflection (PBR) System -- 9.5.2 Online Monitoring Using Laser Plume Emission Spectroscopy -- 9.6 Discussion of Excimer Laser Coating Removal Mechanisms -- 9.7 Finite Element Modelling of Excimer Laser Removal of Thin Coatings -- 9.8 Performance Evaluation of Laser Decoated Mechanical Tool -- 9.8.1 Evaluation of Wear Performance -- 9.8.2 Surface Roughness of Machined Parts -- 9.8.3 Environmental Footprints in Cutting -- 9.8.4 Energy Consumption and Footprints for Laser Decoating -- 9.8.5 Comparison of the Energy Footprints for the Different Steps -- 9.9 Summary -- Acknowledgments -- References -- 10 Laser Removal of Particles from Surfaces -- 10.1 Introduction -- 10.2 Dry Laser Cleaning (DLC) -- 10.3 Steam Laser Cleaning (SLC) -- 10.4 Laser Shock Cleaning (LSC) -- 10.5 Novel Laser Cleaning Techniques -- 10.5.1 Matrix Laser Cleaning (MLC) -- 10.5.2 Wet Laser Cleaning (WLC) -- 10.5.3 Wet Laser Shock Cleaning (WLSC) -- 10.5.4 Combination of DLC and LSC -- 10.5.5 Combination of LSC and SLC -- 10.5.6 Laser-Induced Thermocapillary Cleaning -- 10.5.7 Droplet Opto-Hydrodynamic Cleaning (DOC) -- 10.6 Summary -- Acknowledgements -- References -- Index -- EULA. EBL201807 Engineering SzGeCERN EBL Adhesion EBL Laser ablation BOOK Lei, Wei-Sheng https://cds.cern.ch/auth.py?r=EBLIB_P_5228468 ebook n 201828 201807 21 PUBLIC https://catalogue.library.cern/legacy/2630756 BOOK MIGRATED 2630745 SzGeCERN 20210421204534.0 9781603580953 electronic version electronic version 9781933392455 print version oai:cds.cern.ch:2630745 cerncds:BOOK EBL 5149052 eng GF86 .S75 2008 613.6/9 Stein, Matthew When technology fails a manual for self-reliance, sustainability, and surviving the long emergency 2nd ed. White River Junction, VT Chelsea Green Publishing 2008 816 p ebook Intro -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Foreword -- 1: An Introduction to Self-Reliance -- An Uncertain Future -- Technology Failures are Common -- Why this Book? -- Be Prepared -- Preindustrial Self-Sufficiency -- Old-Fashioned Self-Reliance and Modern Sustainable Technology -- References -- 2: Present Trends, Possible Futures -- Do the Right Thing -- The Main Threats to Our Future -- A Perspective on Relative Threats -- The Eco-Threat -- Greenhouse Gases and Global Warming -- Deforestation -- Systems Modeling and Systems Response -- Feedback -- Overshoot and Carrying Capacity -- Limiting Factor and Drawdown -- Collapse -- Sources and Sinks -- Sustainability and Limits to Growth -- The World's Oceans -- The Economics of Climate Change -- Peak Oil -- EROEI, Petroleum, and Biofuels -- Facts about Oil and other Energy Sources -- The Bio-Threat -- The Terrorism Threat -- Other Important Trends -- Water and Food -- Depletion of the Ozone Layer: A Modern Eco-Success Story -- Polar Ice Caps -- Earthquakes and Volcanoes -- Prophecies -- What Can I Do? -- References -- Resources -- 3: Supplies and Preparations -- Are You Prepared? -- Planning for the Short Term -- Short-Term Preparedness Checklist -- 72-Hour "Grab-and-Run" Survival Kits -- First-Aid Kits -- Earthquake Precautions -- In the Event of an Earthquake -- Long-Term Planning and Storage -- Basic Supplies and Portable Equipment -- Calculating a Year's Food Supply -- Storage Tips -- Dry Ice Fumigation -- Vacuum Packaging -- Mouse Traps and Rat Poisoning -- Shelf-Life Guide -- Notes on Camping Gear -- Tents -- Clothing -- Sleeping Bags -- Insulating Sleeping Mats -- Backpacks -- Stoves -- Cookware -- Footgear -- Firearms -- Planning for the Long-Term Future -- References -- Resources -- 4: Emergency Measures for Survival -- Survival Strategies -- Basic Strategies. Compact Survival Kit -- Developing a Survivor Personality -- Typical Survivor Personality Traits -- Intuition: A Survivor's Powerful Ally -- Water -- Requirements -- Recommended Emergency Measures -- Dehydration -- Conserving Water -- Fire -- Starting a Fire with Matches -- Starting a Fire with Flint and Steel -- Starting a Fire with Bow and Drill -- Starting a Fire with a Hand Drill -- Starting a Fire with a Fire Plough -- Food -- Basic Guidelines -- Plants -- Insects, Grubs, and Worms -- Shelter -- Location -- Squirrel's Nest -- Building on Fallen Trunks and Trees -- Scout Pits and Coal Beds -- Snow Shelters -- Emergency Snow Shoes -- Cordage -- Recommended Plant Fibers -- Fiber Test -- Preparing Fibers -- Spinning Fibers into Cord -- Splicing -- Simple Tools -- Discoidal Stone Knives -- Bone Tools -- Surviving a Nuclear Disaster -- Types of Nuclear Threats -- Protecting Yourself from Direct Radiation -- Protecting Yourself from Radioactive Contamination -- References -- Resources -- 5: Water -- Water Requirements -- Stocking Up for Emergencies -- Guidelines for Coping with Disaster -- The World's Water Crisis -- Fossil Aquifers and Virtual Water -- Water Pollution -- Types of Contamination -- Disinfecting Your Water -- Heat Sterilization -- Portable Water Filters -- UV Sterilization-"SteriPEN" -- Mixed Halogens-MSR's MIOX Purifier -- My Water-Treatment Recommendations -- Chemical Sterilization -- Preserving Water -- Using Silver to Preserve Water -- Treating and Finding Water the Low-Tech Way -- Treating Water -- Finding Water -- Wells -- Protecting Your Water Source -- Modern Water Treatment -- Chlorine Treatment -- Ozone Treatment -- Activated Carbon Filtration -- Reverse Osmosis -- Distillation -- References -- Resources -- 6 Food: Growing, Foraging, Hunting, and Storing -- World Population and Food Supply -- Agricultural Productivity. Irrigation Gains and Losses -- Genetically Engineered Foods -- Soil Health and Soil Losses -- Sustainable Agriculture -- Permaculture -- Grow Biointensive -- Double-Dug, Raised Beds -- Intensive Planting -- Composting -- Companion Planting -- Whole Gardening -- Seed Propagation -- Pest Control -- Extending the Harvest in Cold Climates -- Sprouting: Your Own Minigarden on a Windowsill -- The Sprouting Process -- Foraging for Food -- Brief Guide to Wild Edible Foods -- Poisonous Plants to Avoid -- Preserving and Storing Food -- Root Cellars and other Cold Storage -- Drying and Smoking Food -- Preserving Meat -- Dairy, Tofu, and Tempeh -- Making Butter -- Ghee -- Yogurt -- Cheese -- Making Rennet for Cheese -- Raising Animals -- Hunting and Trapping -- Bow and Arrow -- Traps -- Skinning and Cleaning -- Fishing -- Angling -- Catching Fish by Hand -- Spearing Fish -- Fishing with Net -- References -- Resources -- 7: Shelter and Buildings -- Green Buildings -- Green Certification and "Greenwashing" -- A Survey of Various Green Building Systems: Straw Bales -- In-Fill (Non-Load-Bearing) Straw Bale Construction -- Load-Bearing Straw Bale Construction -- Finishing Straw Bale Walls -- ICF -- SCIP -- "Green" Concrete -- Pumice-Crete -- SIP -- Earth-Based Building Systems -- Rammed Earth -- Adobe -- Cob -- Cast Earth -- Fire-Resistant Green Building -- Lessons from the 1993 Laguna Fire -- Green and Fire Resistant -- Bamboo as a Green Building Material -- Passive Solar Design -- Passive Solar "Rules of Thumb" -- James Kachadorian's Patented Solar Slab -- Preventing and/or Battling Mold -- Health Effects of Mold -- Identifying a Mold Problem -- Dealing with Mold -- Construction Tips for Preventing Mold -- Mat's Mold Wisdom -- Traditional Low-Tech Structures -- Log Cabins -- Timber-Frame Construction -- Tipis, Yurts, Wickiups, and Wigwams -- Earthquake Resistance. Improving Earthquake Resistance -- References -- Resources -- 8: First Aid -- Initial Evaluation -- Survey the Scene -- Consent and Liability -- ABCs of First Aid -- Treatment Priority -- Unconscious Victim -- CPR -- Survey for Injuries and to Control Bleeding -- Pressure Points -- Tourniquets -- Wounds -- Abrasions -- Incisions -- Puncture Wounds -- Abdominal Wounds -- Head Wounds -- Chest Wounds -- Choking -- Heimlich Maneuver (Abdominal Thrusts) -- Bandages and Dressings -- Shock -- Symptoms -- Treatment for Shock -- Fractures and Dislocations -- General Guidelines for Treating Dislocations and Fractures -- Special Precautions for Fractures -- Reducing Dislocations -- Sprains and Strains -- Heat-Related Trauma -- Heat Stroke -- Heat Exhaustion -- Bites and Stings -- Animal Bites -- Snakebites -- Spider Bites -- Tick Bites -- Stings -- Eyes -- First Aid for a Foreign Object in the Eye -- Moving Injured People -- Clothing Drag for Single Rescuer -- Multi-Helper "Stretcher" Rescue -- One- and Two-Person Carries -- Emergency Childbirth -- Signs of Impending Delivery -- Stages of Labor -- Emergency Childbirth Supplies -- Delivery -- After Delivery -- References -- 9: When High-Tech Medicine Fails -- The Holistic Health Movement -- The Low-Tech Medicine Cabinet -- Simple, Effective Remedies and Supplements to have on Hand -- The Essence of Healing -- Genetics and Cellular Growth -- Body Energy -- Colloidal and Ionic Silver -- Making Your Own Colloidal Silver Generator -- Using Your Colloidal Silver Generator -- Solutions of Metallic Silver Nano-Particles -- Healing with Herbs -- Types of Herbal Preparations -- Powerful Herbal Combinations for Better Health -- Caisse's Tea (Essiac) -- Jason Winters' Herbal Tea -- Dr. Clark's Herbal Parasite Cleanse -- Kidney Cleanse -- Liver Cleanse -- Detoxification -- Naturopathic Healing -- Fasting. Supplements and Food -- Homeopathy -- The Origins of Homeopathy -- Homeopathic "Potencies" -- Effectiveness of Homeopathy -- Homeopathy Practice -- Sinus Health and Molds -- Health Effects of Molds and other Fungi -- Treatment for Molds and other Fungi -- Electromagnetic Fields -- The Beck Protocol -- Healing with Energy -- A Few Useful Guidelines (No Fixed Rules) -- The Power of Prayer -- Hypnosis for Pain Control and Healing -- Fractional Relaxation Induction -- Hypnotic Suggestion -- Awakening Technique -- Visualization and Mind-Body Healing -- General Guidelines -- Visualization for Mending a Broken Bone -- Egyptian Healing Visualization -- Some Notes on Death and Dying -- References and Resources -- 10: Clothing and Textiles -- Fiber Arts -- Preparing Fibers -- Sustainable Fibers -- Spinning -- Weaving -- Knitting and Crocheting -- Furs and Skins -- Brain Tanning Overview -- Dealing with Furs -- Bark Tanning Leather -- Patterns and Custom-Tailored Clothing -- Sinews -- Footwear -- References -- Resources -- 11: Energy, Heat, and Power -- Shifting to Renewable Energy (RE) -- Why Renewable Energy? -- Energy Conservation,"Negawatts," and RE Net Metering -- RE Systems -- Net Metering -- AC Versus DC -- Alternatives for High-Energy-Consuming Appliances -- Photovoltaics Versus Wind Versus Micro-Hydro -- Batteries -- Backup Generators -- System Sizing -- Photovoltaics -- Insolation -- Solar Array Sizing -- Panel Orientation -- Maximum Power Point Tracking -- Wind Power -- Wind-Energy Tips -- Micro-Hydropower -- Micro-Hydro Considerations -- Solar Hot Water -- Passive Solar "Batch" Heating -- Direct Pump Solar Hot-Water Heating -- Active Solar Hot Water -- Solar Space Heating -- Solar Water Pumping -- Biofuels -- Steam Energy -- Fuel Cells -- How Fuel Cells Work -- Efficiency and Environmental Considerations -- Fuel Cells in the Home. Heating with Wood. There's never been a better time to "be prepared." Matthew Stein's comprehensive primer on sustainable living skills-from food and water to shelter and energy to first-aid and crisis-management skills-prepares you to embark on the path toward sustainability. But unlike any other book, Stein not only shows you how to live "green" in seemingly stable times, but to live in the face of potential disasters, lasting days or years, coming in the form of social upheaval, economic meltdown, or environmental catastrophe. EBL201807 Health Physics and Radiation Effects SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5149052 ebook n 201828 21 PUBLIC https://catalogue.library.cern/legacy/2630745 BOOK MIGRATED 2630735 SzGeCERN 20210202231112.0 9781782626138 electronic version electronic version 9781849735957 print version oai:cds.cern.ch:2630735 cerncds:BOOK EBL 4095435 eng QD544 -- .K47 2013eb 541 Kerton, Francesca Alternative solvents for green chemistry 2nd ed. Cambridge Royal Society of Chemistry 2013 375 p ebook Green chemistry series Intro -- Title -- Copyright -- Preface -- Contents -- Chapter 1 Introduction -- 1.1 Introduction -- 1.2 Safety Considerations, Life Cycle Assessment and Green Metrics -- 1.2.1 Environmental, Health and Safety (EHS) -- 1.2.2 Life Cycle Assessment (LCA) -- 1.2.3 Solvents in the Pharmaceutical Industry and Immediate Alternatives to Common Laboratory Solvents -- 1.2.4 Solvents in Analytical Chemistry incl. HPLC -- 1.3 Solvent Properties including Polarity -- 1.4 What Remains to be Done? -- 1.5 Summary -- References -- Chapter 2 Green Solvents - Legislation and Certification -- 2.1 Introduction -- 2.2 Solvent Registration -- 2.2.1 European Union and Switzerland -- 2.2.2 United States and Canada -- 2.2.3 China and Taiwan -- 2.2.4 Japan -- 2.3 Solvent Emission Regulations -- 2.4 Applications Legislation -- 2.4.1 Food and Beverages -- 2.4.2 Pharmaceuticals, Nutraceuticals and Herbal Medicines -- 2.4.3 Cosmetics and Personal Care -- 2.5 Natural or Organic Certification -- 2.6 Summary -- References -- Chapter 3 'Solvent-Free' Chemistry -- 3.1 Introduction -- 3.2 Chemical Examples -- 3.2.1 Inorganic and Materials Synthesis -- 3.2.2 Organic Synthesis -- 3.2.3 Biomass Transformations -- 3.3 Summary and Outlook for the Future -- References -- Chapter 4 Water -- 4.1 Introduction -- 4.1.1 Biphasic Systems -- 4.2 Chemical Examples -- 4.2.1 Extraction -- 4.2.2 Chemical Synthesis -- 4.2.3 Materials Synthesis -- 4.3 Energy-Related Research in Seawater: Biorefineries and Hydrogen Production -- 4.4 High-Temperature, Superheated or Near-Critical Water -- 4.5 Summary and Outlook for the Future -- References -- Chapter 5 Supercritical Fluids -- 5.1 Introduction -- 5.2 Chemical Examples -- 5.2.1 Supercritical and Liquid Carbon Dioxide -- 5.2.2 Supercritical Water and Near-Critical Water -- 5.2.3 Supercritical Alcohols -- 5.3 Summary and Outlook for the Future. References -- Chapter 6 Renewable Solvents and Other 'Green' VOCs -- 6.1 Introduction -- 6.2 Chemical Examples -- 6.2.1 Alcohols including Glycerol -- 6.2.2 Esters -- 6.2.3 2-Methyltetrahydrofuran (2-MeTHF) -- 6.2.4 Carbonates -- 6.2.5 Terpenes and Plant Oils -- 6.2.6 Renewable Alkanes -- 6.2.7 Ionic Liquids and Eutectic Mixtures Prepared from Biofeedstocks -- 6.3 Summary and Outlook for the Future -- References -- Chapter 7 Room-Temperature Ionic Liquids and Eutectic Mixtures -- 7.1 Introduction -- 7.2 Biodegradation and Toxicological Studies -- 7.3 Chemical Examples -- 7.3.1 Extractions and Separations using RTILS -- 7.3.2 Electrochemistry in RTILS -- 7.3.3 Synthesis in RTILS -- 7.4 Summary and Outlook for the Future -- References -- Chapter 8 Fluorous Solvents and Related Systems -- 8.1 Introduction -- 8.1.1 Overview of Fluorous Approach -- 8.1.2 Fluorous Solvent Polarity Data, Solubility and Miscibility Data -- 8.1.3 Fluorous Catalysts and Reagents -- 8.2 Chemical Examples -- 8.2.1 Fluorous Extractions and Fluorous Analytical Chemistry -- 8.2.2 Fluorous Reactions -- 8.2.3 Fluorous Biphase Catalysis -- 8.2.4 Fluorous Biological Chemistry and Biocatalysis -- 8.2.5 Fluorous Combinatorial Chemistry -- 8.2.6 Fluorous Materials Chemistry -- 8.3 Summary and Outlook for the Future -- References -- Chapter 9 Liquid Polymers -- 9.1 Introduction -- 9.1.1 Properties of Aqueous PEG Solutions -- 9.2 Chemical Examples -- 9.2.1 PEG and PPG as Nonvolatile Media -- 9.2.2 Poly(dimethylsiloxane) as a Nonvolatile Reaction Medium -- 9.3 Summary and Outlook for the Future -- References -- Chapter 10 Tunable and Switchable Solvent Systems -- 10.1 Introduction -- 10.2 Chemical Examples -- 10.2.1 Gas-Expanded Liquids -- 10.2.2 Solvents of Switchable Polarity -- 10.2.3 Switchable Surfactants -- 10.2.4 Switchable Hydophilicity Solvents and 'Switchable Water'. 10.2.5 Solvents of Switchable Volatility -- 10.2.6 Thermomorphic and Related Biphasic Catalysis -- 10.3 Summary and Outlook for the Future -- References -- Chapter 11 Industrial Applications of Green Solvents -- 11.1 Introduction -- 11.2 Industrial Examples -- 11.2.1 Selected Applications of Water as a Solvent and Reaction Medium -- 11.2.2 Selected Applications of Carbon Dioxide as a Solvent -- 11.2.3 Selected Applications of Ionic Liquids in Industry -- 11.3 Summary and Outlook -- References -- Chapter 12 Education and Outreach -- 12.1 Introduction -- 12.2 Education -- 12.2.1 Laboratory Experiments and Classroom Exercises -- 12.3 Outreach -- 12.4 Summary -- References -- Subject Index. This book, appropriate for newcomers to the field, gives an overview of the many different kinds of solvents including alternative greener solvent choices. EBL201807 Chemical Physics and Chemistry SzGeCERN BOOK Marriott, Ray Clark, James H Kraus, George Stankiewicz, Andrzej Kou, Yuan Seidl, Peter https://cds.cern.ch/auth.py?r=EBLIB_P_4095435 ebook n 201828 201807 21 PUBLIC BOOK DELETED 2630732 SzGeCERN 20200503232006.0 9781782620334 print version 9781782621034 electronic version electronic version oai:cds.cern.ch:2630732 cerncds:BOOK EBL 2012251 eng QD505 -- .T36 2014eb 541.395 Ostafin, Agnes Metal nanoparticles for catalysis advances and applications Cambridge Royal Society of Chemistry 2014 285 p ebook Catalysis series 17 Metal Nanoparticles for Catalysis -- Contents -- Chapter 1 Introduction: Synthesis and Catalysis on Metal Nanoparticles -- Chapter 2 Nanocatalysis: Definition and Case Studies -- 2.1 Introduction -- 2.1.1 Flash Synopsis of the History of Catalysis -- 2.1.2 Reporting Turnover Frequency: the Common Denominator in Catalysis -- 2.2 Factors Contributing to Structure Sensitivity in Catalysis -- 2.2.1 Statistical Shape Analysis of Polyhedra Crystals and Relation to Catalysis -- 2.2.2 Equilibrium Shapes of Nanocrystals -- 2.2.3 Surface Restructuring -- 2.2.4 Mobility of Surface Adsorbates -- 2.2.5 Change in the Electronic Structure of Solids at the Nanometre Scale -- 2.2.6 Example to Illustrate Anomalous TOF Behavior: Ethane Hydrogenolysis on Rhodium -- 2.3 Synthesis and Properties of Well-defined Nanocrystals -- 2.4 The Dawn of Nanocatalysis and Case Studies -- 2.4.1 CO Oxidation on Au -- 2.4.2 TiO2 Nanocrystals with Reactive Facets -- 2.4.3 Catalysis on Shape-controlled Pt Nanocrystals -- 2.4.4 Advanced Templating Methods for Nanocrystal Synthesis -- 2.4.5 Hybrid Nanocrystal Catalysis -- 2.5 Conclusion -- References -- Chapter 3 New Strategies to Fabricate Nanostructured Colloidal and Supported Metal Nanoparticles and their Efficient Catalytic Applications -- 3.1 Introduction -- 3.2 New Route for the Preparation of Supported Metal Nanoparticle Catalysts -- 3.2.1 A Photo-assisted Deposition Method Using a Single-site Photocatalyst -- 3.2.2 A Microwave-assisted Deposition Method -- 3.2.3 Deposition of Size-controlled Metal Nanoparticles as Colloidal Precursors -- 3.3 Multifunctional Catalysts Based on Magnetic Nanoparticles -- 3.3.1 Core-shell Magnetic FePt@Ti-containing Silica Spherical Nanocatalyst -- 3.3.2 Water-soluble FePt Magnetic NPs Modified with Cyclodextrin -- 3.3.3 FePd Magnetic NPs Modified with a Chiral BINAP Ligand. 3.3.4 Core-shell Nanostructured Catalyst for One-pot Reactions -- References -- Chapter 4 Organometallic Approach for the Synthesis of Noble Metal Nanoparticles: Towards Application in Colloidal and Supported Nanocatalysis -- 4.1 Introduction -- 4.2 Organometallic Synthesis of Noble Metal Nanoparticles -- 4.3 Nanoparticles for Colloidal Catalysis -- 4.3.1 Hydrogenation Reactions -- 4.3.1.1 Ligand Stabilized Nanoparticles as Catalysts -- 4.3.1.2 Water-soluble Nanoparticles as Catalysts -- 4.3.1.3 Ionic Liquid Stabilized Nanoparticles as Catalysts -- 4.3.2 Dehydrogenation Reactions of Amine-borane -- 4.3.3 Carbon-carbon Coupling Reactions -- 4.3.3.1 Pd Nanoparticles Stabilized by Chiral Diphosphite Ligands -- 4.3.3.2 Pd Nanoparticles Stabilized by Pyrazole Ligands -- 4.3.4 Hydroformylation Reactions -- 4.4 Nanoparticles for Supported Catalysis -- 4.4.1 Alumina as a Support for Hydrogenation and Oxidation Reactions -- 4.4.2 Silica as a Support for Hydrogenation and Oxidation Reactions -- 4.4.2.1 Hydrogenation of Olefins (Cyclohexene and Myrcene) -- 4.4.2.2 Oxidation of Carbon Monoxide and Benzyl Alcohol -- 4.4.3 Carbon Materials as Supports for Hydrogenation and Oxidation Reactions -- 4.4.3.1 Hydrogenation of Cinnamaldehyde -- 4.4.3.2 Oxidation of Benzyl Alcohol -- 4.4.3.3 Versatile Dual Hydrogenation-oxidation Reactions -- 4.5 Conclusion and Perspective -- References -- Chapter 5 Nickel Nanoparticles in the Transfer Hydrogenation of Functional Groups -- 5.1 Introduction -- 5.2 Antecedents -- 5.3 Hydrogen-transfer Reduction of Alkenes -- 5.4 Hydrogen-transfer Reduction of Carbonyl Compounds -- 5.5 Hydrogen-transfer Reductive Amination of Aldehydes -- 5.6 Conclusions -- References -- Chapter 6 Ammonium Surfactant-capped Rh(0) Nanoparticles for Biphasic Hydrogenation -- 6.1 Introduction -- 6.2 Nanoparticles as Relevant Catalysts for Biphasic Hydrogenation. 6.3 Asymmetric Nanocatalysis: a Great Challenge -- 6.3.1 Ethylpyruvate -- 6.3.2 Prochiral Arenes -- 6.4 Conclusions -- References -- Chapter 7 Pd Nanoparticles in C-C Coupling Reactions -- 7.1 Introduction -- 7.2 Synthetic Scheme for the Fabrication of Pd Nanoparticles -- 7.3 C-C Coupling Reaction Mechanism for Pd Nanocatalysts -- 7.4 Pd Nanoparticles in the Stille Coupling Reaction -- 7.5 Pd Nanoparticles in the Suzuki Coupling Reaction -- 7.6 Pd Nanoparticles in the Heck Coupling Reaction -- 7.7 Summary and Conclusions -- References -- Chapter 8 Metal Salt-based Gold Nanocatalysts -- 8.1 Introduction -- 8.2 Metal Salt-based Gold Nanocatalysts -- 8.2.1 Metal Carbonate-based Gold Catalysts -- 8.2.2 Metal Phosphate-based Gold Catalysts -- 8.2.3 Hydroxyapatite-based Gold Catalysts -- 8.2.4 Hydroxylated Fluoride-based Gold Catalysts -- 8.2.5 Metal Sulfate-based Gold Catalysts -- 8.2.6 Heteropolyacid Salt-based Gold Catalysts -- 8.3 Summary -- Acknowledgments -- References -- Chapter 9 Catalysis with Colloidal Metallic Hollow Nanostructures: Cage Effect -- 9.1 Introduction -- 9.2 Synthetic Approaches to Hollow Metallic Nanocatalysts -- 9.3 Assembling the Nanocatalysts on Substrates -- 9.4 Hollow Nanostructures are Different in Catalysis -- 9.4.1 Hollow Nanostructures with a Catalytically Active Inner Surface and an Inactive Outer Surface -- 9.4.2 Comparing the Activity of Hollow and Solid Nanocatalysts of Similar Shapes -- 9.4.3 Comparing the Activity of a Single Shell Hollow Nanocatalyst with a Double Shell Consisting of a Similar Inner Shell Metal -- 9.4.4 Following the Optical Properties of Plasmonic Nanocatalysts During Catalysis -- 9.5 Proposed Mechanism for Nanocatalysis Based on Spectroscopic Studies -- References -- Chapter 10 Nanoreactor Catalysis -- 10.1 Introduction -- 10.2 Steric and Structural Effects -- 10.2.1 Dendrimers -- 10.2.2 Microgels. 10.2.3 Polymer Core-shell Structures -- 10.2.4 Hydrophobic-hydrophilic Structures: Micelle, Emulsion, and Liposome -- 10.3 Absorbing Nanocatalyst Surface -- 10.3.1 Micelle and Emulsion -- 10.3.2 Carbon Nanotubes -- 10.4 Conclusion -- References -- Chapter 11 Nanoparticle Mediated Clock Reaction: a Redox Phenomenon -- 11.1 History -- 11.1.1 Iodine Clock Reaction -- 11.1.2 B-Z Reaction -- 11.1.3 Bray-Liebhafsky Reaction -- 11.1.4 Briggs-Rauscher Reaction -- 11.1.5 The Blue Bottle Experiment -- 11.2 Recent Work -- 11.2.1 Clock Reaction of Methylene Blue -- 11.3 Mechanistic Approach -- 11.3.1 Eley-Rideal Mechanism -- 11.3.2 Langmuir-Hinshelwood Mechanism -- 11.4 Applications -- 11.4.1 Water Purification -- 11.4.2 Memory Facilitation by Methylene Blue and Brain Oxygen Consumption -- 11.4.3 Novel UV-activated Colorimetric Oxygen Indicator -- 11.5 Conclusion -- References -- Chapter 12 Theoretical Insights into Metal Nanocatalysts -- 12.1 Introduction -- 12.2 Computational Method -- 12.3 Metal Nanocatalysts -- 12.3.1 Copper Nanocatalysts for Water-Gas Shift Reactions: the Importance of Low-coordinated Sites -- 12.3.2 Metal (Core)-Platinum Shell Nanocatalysts for Oxygen Reduction Reactions in Fuel Cells: the Essential Role of Surface Contraction -- 12.4 Supported Metal Nanocatalysts -- 12.5 Conclusions -- Acknowledgements -- References -- Chapter 13 Porous Cryptomelane-type Manganese Oxide Octahedral Molecular Sieves (OMS-2) -- Synthesis, Characterization and Applications in Catalysis -- 13.1 Introduction -- 13.2 Synthesis and Morphology Control -- 13.3 Catalysis -- 13.3.1 Selective Oxidation and Fine Chemical Synthesis -- 13.3.2 C-H Activation -- 13.3.3 CO2 Activation -- 13.3.4 Environmental and Green Chemistry -- 13.4 Conclusion -- Acknowledgments -- References -- Subject Index. An introduction to the synthesis and applications of different nanocatalysts. EBL201807 Chemical Physics and Chemistry SzGeCERN BOOK Hoefelmeyer, James Yamashita, Hiromi Philippot, Karine Pal, Tarasankar Knecht, Marc R Liu, Ping Suib, Steven L Tao, Franklin Spivey, James https://cds.cern.ch/auth.py?r=EBLIB_P_2012251 ebook n 201828 201807 21 PUBLIC BOOK DELETED 2630724 SzGeCERN 20200503232006.0 9781782625209 electronic version electronic version 9781849738156 print version oai:cds.cern.ch:2630724 cerncds:BOOK EBL 2012223 eng TK7871.85 -- .S465 2015eb 621.38152 Lieber, Charles Semiconductor nanowires from next-generation electronics to sustainable energy Cambridge Royal Society of Chemistry 2014 463 p ebook Smart materials series 11 Semiconductor Nanowires -- Contents -- Chapter 1 Semiconductor Nanowire Growth and Integration -- 1.1 Introduction -- 1.2 Basics of Nanocluster-Mediated VLS Nanowire Growth -- 1.3 Nanowire Growth Dynamics -- 1.4 Nanowire Heterostructures -- 1.4.1 Radial Nanowire Heterostructure -- 1.4.2 Axial Nanowire Heterostructure -- 1.5 In Situ Doping of Nanowires -- 1.6 Beyond Individual Nanowire Growth -- 1.6.1 Growth Site Control -- 1.6.2 Branched Nanowires -- 1.6.3 Kinked Nanowires -- 1.6.4 Connecting the Nanowires Together -- 1.7 Summary -- References -- Chapter 2 High Performance, Low Power Nanowire Transistor Devices -- 2.1 Introduction -- 2.2 Nanowires as High Performance Field Effect Transistors -- 2.2.1 Nanowire Transistors -- 2.2.2 One-Dimensional Device Physics in the Quantum Confinement Regime -- 2.2.3 Scaling of High-Performance Nanowire Transistors -- 2.3 Large-Scale Construction of Nanowire Circuits -- 2.3.1 Assembly and Fabrication Techniques -- 2.3.2 Integrated Nanowire Circuit Architecture -- 2.3.3 Challenge and Outlook of High-Performance Nanowire Circuits -- 2.4 Nanowire Devices for Low Power Computing -- 2.4.1 Static Power Consumption and Sub-threshold Swing -- 2.4.2 Breaking Through the Thermodynamic Limit: Tunneling and Impact Ionization Transistors -- 2.4.3 Breaking Through the Thermodynamic Limit: Nano-electromechanical Switches -- 2.4.4 Nanoelectromechanical Field Effect Transistors (NEMFET) with Suspended Nanowires -- 2.4.5 Scaling and Challenges of NEMFET -- 2.5 Conclusion -- References -- Chapter 3 Nanowire Phase-Change Memory -- 3.1 Introduction -- 3.1.1 What is Phase-Change Memory and Why Use it? -- 3.1.2 Evolution of PCM Technology: Historical Timeline -- 3.2 Phase-Change Materials: General Aspects of Structure in Crystalline Phase -- 3.2.1 Guidelines for the Design of Phase-Change Materials. 3.3 Scaling Studies on Phase-Change Memory: Reduced Dimensions and the Rise of Bottom up Processing -- 3.3.1 Device Failure Mechanisms: Electromigration -- 3.3.2 Bottom up Synthesis of Various Nanowire Phase-Change Memory Systems -- 3.3.3 Scaling Studies on Nanowire Phase-Change Memory -- 3.3.4 Phase-Change Nanotubes and Nanocrystals: Pushing the Ultimate Size Limit for Phase-Change Memory Device Operation -- 3.4 Multilevel Switching: Core/Shell Nanowire Phase-Change Memory -- 3.5 Stability of the Amorphous Phase of Phase-Change Materials -- 3.5.1 Data Retention in Phase-Change Memory Nanowire Devices -- 3.5.2 Studies on Drift Behavior in the Amorphous Phase of Phase-Change Materials -- 3.6 Mechanism of Crystal-to-Amorphous Phase-Change: A Closer Look -- 3.6.1 Structure of Crystalline Ge2Sb2Te5: Salient Features -- 3.6.2 Visualizing the Structural Changes During Amorphization -- 3.6.3 Future Directions: Melt-Quench or Purely Solid-State Transformation? -- 3.7 Additional Applications of Phase-Change Materials -- 3.8 Summary and Outlook -- References -- Chapter 4 Nanowire Biosensors -- 4.1 Introduction: Interfacing to Biological Systems -- 4.1.1 Why Build and Understand Interfaces Between Nanoelectronic-Biological Systems? -- 4.1.2 Why Nanowire Sensors? -- 4.2 Detection Mechanism -- 4.2.1 Field Effect Transistor Based Time Domain Detection -- 4.2.2 Short Channel Device, Towards Localized Sensing and Enhanced Sensitivity -- 4.2.3 Debye Screening and Potential Solutions -- 4.3 Biosensor Applications -- 4.3.1 Traditional Applications -- 4.3.2 Nanowire Sensors for Biophysical Studies -- 4.3.3 Nanowire Sensors for Cellular Electrical Recording -- 4.4 Outlook -- References -- Chapter 5 Nanowires for Piezoelectric Nanogenerators -- 5.1 Synthesis of Piezoelectric Nanowires -- 5.1.1 Nanowire Arrays Grown by Vapor-Solid-Solid Process. 5.1.2 Nanowire Arrays Grown by Vapor-Liquid-Solid Process -- 5.1.3 Nanowire Arrays Grown by Pulse Laser Deposition -- 5.1.4 Nanowire Arrays Grown by Chemical Approach -- 5.2 Fundamental Principle of Nanogenerator -- 5.2.1 Concept of Piezoelectric Nanogenerators -- 5.2.2 Schottky Barrier at the Electrode-Nanowire Interface -- 5.2.3 Charge Generation and Output Processes -- 5.2.4 Principle of the Piezoelectric Nanogenerator -- 5.2.5 Nanogenerator Based on Other Wurtzite Structured Nanowires -- 5.3 Characteristics of Single Wire Based Nanogenerator -- 5.3.1 Basic Design -- 5.3.2 Characterization of Nanogenerator Outputs -- 5.3.3 Effect of Straining Rate -- 5.3.4 Principle of the Single Wire Based Nanogenerator -- 5.4 Energy Conversion Efficiency -- 5.5 Nanogenerators Made of Nanowire Arrays -- 5.5.1 Schottky Contact Based Vertical Nanowires -- 5.5.2 Schottky Contact Based Lateral Nanowires -- 5.5.3 Insulating Layer Based Nanogenerators -- 5.6 Nanogenerators for Self-powered Systems -- 5.6.1 Concept of Self-powered System -- 5.6.2 Self-powered Photon Sensor and System -- 5.6.3 Self-powered Environmental Sensor System -- 5.7 Nanogenerators as Self-powered Active Sensors -- 5.7.1 Tire Pressure/Speed and Transportation -- 5.7.2 Detection of Ambient Wind-Velocity and Cantilever Vibration Frequency -- 5.7.3 Weight Measurement -- 5.7.4 Skin Deformation Detection and Eye Ball Motion Tracking -- 5.8 Perspectives -- Acknowledgements -- References -- Chapter 6 Nanowires for Photovoltaics and Articial Photosynthesis -- 6.1 Introduction -- 6.2 Principles of Photovoltaics -- 6.3 Principles of Artificial Photosynthesis -- 6.4 Nanowires for Solar Energy Conversion: Commonalities between Photovoltaics and Artificial Photosynthesis -- 6.4.1 Charge Collection and Transport -- 6.4.2 Light Trapping in Nanowire Arrays -- 6.4.3 Approaches for Reducing Costs. 6.5 Single-Nanowire Photovoltaics -- 6.5.1 Transport within Single-Nanowire Solar Cells -- 6.5.2 Optical Properties ofSingle Nanowires -- 6.6 Nanowires for "Z-scheme" Artificial Photosynthesis: Electrochemical Considerations -- 6.6.1 Stability against Photocorrosion -- 6.6.2 Principles of System Design -- 6.7 Progress in Nanowire Photovoltaics and Artificial Photosynthesis -- 6.8 Future Outlook -- References -- Chapter 7 Growth of Metal Silicide Nanowires and Their Spintronic and Renewable Energy Applications -- 7.1 Introduction -- 7.2 Silicide Nanowire Growth Methods -- 7.2.1 Silicidation of Silicon Nanowires -- 7.2.2 Delivery of Silicon to Metal Films -- 7.2.3 Reactions of Transition Metal Sources with Silicon Substrates -- 7.2.4 Simultaneous Metal and Silicon Delivery -- 7.2.5 Solution Growth Technique -- 7.2.6 Silicide Nanowire Growth Technique Comparison -- 7.3 Spintronic Applications and Skyrmion Physics of Silicide Nanowires -- 7.3.1 Overview and Theoretical Understanding of Chiral Magnetism and Skyrmion Magnetic Ordering -- 7.3.2 Potential Spintronic Applications of Nanowires with Skyrmion Magnetic Domains -- 7.3.3 Observations of Exotic Spin Textures -- 7.3.4 Electrical Transport Signature of Magnetic Skyrmions -- 7.3.5 Spin Polarization Measurements on NWs by Andreev Reflection Spectroscopy -- 7.4 Thermoelectric Applications of Silicide Nanowires -- 7.5 Nanoelectronics and Field-Emission Applications -- 7.6 Solar Energy Conversion and Energy Storage -- 7.7 Summary and Perspective -- References -- Chapter 8 Nanowires for High-Performance Li-Ion Battery Electrodes -- 8.1 Introduction -- 8.2 Silicon Nanowires as a High Performance Anode Material -- 8.3 Nanoscale Engineering for Silicon Electrodes with Long Cycle Life -- 8.3.1 One-Dimensional Scaffolding for Silicon Deposition -- 8.3.2 Silicon Nanotubes and Other Hollow Structures. 8.3.3 Successful Electrode Designs Based on Other Nanostructures -- 8.3.4 Improving Cycle Life by Modifying the Electrolyte -- 8.3.5 Novel Nanowire-Based Electrode Architectures -- 8.4 Understanding Lithiation/Delithiation in Nanostructured Silicon -- 8.4.1 In Situ TEM Experimental Setup -- 8.4.2 Lithiation and Cycling Reaction Mechanisms -- 8.4.3 Anisotropic Lithiation and Expansion -- 8.4.4 Fracture of Crystalline Silicon Nanostructures during Lithiation -- 8.4.5 Other Insights from In Situ TEM Experiments -- 8.5 Nanowire Electrodes of Other Battery Materials -- 8.5.1 Other Alloying Anode Materials -- 8.5.2 Materials that Undergo Conversion Reactions -- 8.5.3 Materials that Undergo Intercalation Reactions -- 8.6 Conclusions -- References -- Chapter 9 Phononic and Electronic Engineering in Nanowires for Enhanced Thermoelectric Performance -- 9.1 Overview: Scope of the Chapter -- 9.2 Introduction to Thermoelectrics -- 9.3 Phonon Transport Length Scales -- 9.4 Synthesis of Thermoelectric Nanowires -- 9.4.1 Chemical Vapor Deposition -- 9.4.2 Template-Assisted Synthesis -- 9.4.3 Solution Process -- 9.4.4 Top-Down Process -- 9.5 Thermal Conductivity of Semiconductor Nanowires -- 9.5.1 Thermal Conductivity Measurements of Thermoelectric Nanowires -- 9.5.2 Thermal Conductivity of Si Nanowires -- 9.6 Power Factor of Semiconductor Nanowires -- 9.7 Nanowire-Based Thermoelectric Devices -- 9.8 Summary and Outlook -- Acknowledgements -- References -- Subject Index. A timely reference from leading experts on semiconductor nanowires and their applications. EBL201807 Engineering SzGeCERN BOOK Yang, Peidong Xiang, Jie Cui, Yi Agarwal, Ritesh Song, Jin-Jong Lu, Wei Schneider, Hans-Jorg Shahinpoor, Mohsen https://cds.cern.ch/auth.py?r=EBLIB_P_2012223 ebook n 201828 201807 21 PUBLIC BOOK DELETED 2630716 SzGeCERN 20200503232006.0 9781849736374 print version 9781849737593 electronic version electronic version oai:cds.cern.ch:2630716 cerncds:BOOK EBL 2012187 eng TJ853.4.M53 -- .M537 2015eb 610.28 Khademhosseinni, A Microfluidics for medical applications Cambridge Royal Society of Chemistry 2014 323 p ebook Nanoscience 36 Microfluidics for Medical Applications -- Contents -- Chapter 1 Microtechnologies in the Fabrication of Fibers for Tissue Engineering -- 1.1 Introduction -- 1.2 Fiber Formation Techniques -- 1.2.1 Co-axial Flow Systems -- 1.3 Wetspinning -- 1.4 Meltspinning (Extrusion) -- 1.5 Electrospinning -- 1.6 Conclusions -- Acknowledgements -- References -- Chapter 2 Kidney on a Chip -- 2.1 Introduction -- 2.2 Kidney Structure and Function -- 2.3 Mimicking Kidney Environment -- 2.3.1 Extracellular Matrix -- 2.3.2 Mechanical Stimulation -- 2.3.3 Various Kidney Cells -- 2.3.4 Extracellular Environment -- 2.4 Kidney on a Chip -- 2.4.1 Microfluidic Approach for Kidney on a Chip -- 2.4.2 Fabrication of Kidney on a Chip -- 2.4.3 Various Kidney Chips -- 2.5 Future Opportunities and Challenges -- References -- Chapter 3 Blood-brain Barrier (BBB): An Overview of the Research of the Blood-brain Barrier Using Microfluidic Devices -- 3.1 Introduction -- 3.2 Blood-brain Barrier -- 3.2.1 Neurovascular Unit -- 3.2.2 Transport -- 3.2.3 Multidrug Resistance -- 3.2.4 Neurodegenerative Diseases - Loss of BBB Function -- 3.3 Modeling the BBB in Vitro -- 3.3.1 Microfluidic in Vitro Models of the BBB: the ''BBB-on-Chip'' -- 3.3.2 Cellular Engineering -- 3.3.3 Biochemical Engineering -- 3.3.4 Biophysical Engineering -- 3.4 Measurement Techniques -- 3.4.1 Transendothelial Electrical Resistance -- 3.4.2 Permeability -- 3.4.3 Fluorescence Microscopy -- 3.5 Conclusion and Future Prospects -- Acknowledgements -- References -- Chapter 4 The Use of Microfluidic-based Neuronal Cell Cultures to Study Alzheimer's Disease -- 4.1 Alzheimer's Disease - Increased Mortality Rates and Still Incurable -- 4.2 Unknowns of Alzheimer's Disease -- 4.2.1 Molecular Key Players of AD -- 4.2.2 From Molecules to Neuronal Networks -- 4.3 Why Microsystems May Be a Key in Understanding the Propagation of AD. 4.3.1 Requirements for in Vitro Studies on AD Progression -- 4.3.2 Establishing Ordered Neuronal Cultures with Microfluidics -- 4.4 Micro-devices-based in Vitro Alzheimer Models -- 4.4.1 First Microtechnology-based Experimental Models -- 4.4.2 Requirements of Future Micro-device-based Studies -- 4.5 Questions that May Be Addressed by Micro-controlled Cultures -- References -- Chapter 5 Microbubbles for Medical Applications -- 5.1 Introduction -- 5.1.1 Microbubbles for Imaging -- 5.1.2 Microbubbles for Therapy -- 5.1.3 Microbubbles for Cleaning -- 5.2 Microbubble Basics -- 5.2.1 Microbubble Dynamics -- 5.3 Microbubble Stability -- 5.4 Microbubble Formation -- 5.5 Microbubble Modeling and Characterization -- 5.5.1 Optical Characterization -- 5.5.2 Sorting Techniques -- 5.5.3 Acoustical Characterization -- 5.6 Conclusions -- Acknowledgments -- References -- Chapter 6 Magnetic Particle Actuation in Stationary Microfluidics for Integrated Lab-on-Chip Biosensors -- 6.1 Introduction -- 6.2 Capture of Analyte Using Magnetic Particles -- 6.2.1 The Analyte Capture Process -- 6.2.2 Analyte Capture Using Magnetic Particles in a Static Fluid -- 6.3 Analyte Detection -- 6.3.1 Magnetic Particles as Carriers -- 6.3.2 Agglutination Assay with Magnetic Particles -- 6.3.3 Surface-binding Assay with Magnetic Particles as Labels -- 6.3.4 Magnetic Stringency -- 6.4 Integration of Magnetic Actuation Processes -- 6.5 Conclusions -- Acknowledgements -- References -- Chapter 7 Microfluidics for Assisted Reproductive Technologies -- 7.1 Introduction -- 7.2 Gamete Manipulations -- 7.2.1 Male Gamete Sorting -- 7.2.2 Female Gamete Quality Assessment -- 7.3 In Vitro Fertilization -- 7.4 Cryopreservation -- 7.5 Embryo Culture -- 7.6 Embryo Analysis -- 7.7 Conclusion -- References. Chapter 8 Microfluidic Diagnostics for Low-resource Settings: Improving Global Health without a Power Cord -- 8.1 Introduction: Need for Diagnostics in Low-resource Settings -- 8.1.1 Importance of Diagnostic Testing -- 8.1.2 Limitations in Low-resource Settings -- 8.1.3 Scope of Chapter -- 8.2 Types of Diagnostic Testing Needed in Low-resource Settings -- 8.2.1 Diagnosing Disease -- 8.2.2 Monitoring Disease -- 8.2.3 Counterfeit Drug Testing -- 8.2.4 Environmental Testing -- 8.3 Overview of Microfluidic Diagnostics for Use at the Point of Care -- 8.3.1 Channel-based Microfluidics -- 8.3.2 Paper-based Microfluidics -- 8.4 Enabling All Aspects of Diagnostic Testing in Low-resource Settings: Examples of and Opportunities for Microfluidics (Channel-based and Paper-based) -- 8.4.1 Transportation and Storage of Devices in Low-resource Settings -- 8.4.2 Specimen Collection -- 8.4.3 Sample Preparation -- 8.4.4 Running the Assay -- 8.4.5 Signal Read-out -- 8.4.6 Data Integration into Health Systems -- 8.4.7 Disposal -- 8.5 Conclusions -- References -- Chapter 9 Isolation and Characterization of Circulating Tumor Cells -- 9.1 Introduction -- 9.2 CTC Definition in CellSearch System -- 9.3 Clinical Relevance of CTCs -- 9.4 Identification of Treatment Targets on CTCs -- 9.5 Technologies for CTC Enumeration -- 9.6 Isolation and Identification of CTCs in Microfluidic Devices -- 9.6.1 Microfluidic Devices for CTC Isolation Based on Physical Properties -- 9.6.2 Microfluidic Devices to Isolate CTCs Based on Immunological Properties -- 9.6.3 Microfluidic Devices to Isolate CTCs Based on Physical as well as Immunological Properties -- 9.6.4 Characterization of CTCs in Microfluidic Devices -- 9.7 Summary and Outlook -- References -- Chapter 10 Microfluidic Impedance Cytometry for Blood Cell Analysis -- 10.1 Introduction -- 10.2 The Full Blood Count. 10.2.1 Clinical Diagnosis and the Full Blood Count -- 10.2.2 Commercial FBC Devices -- 10.3 Microfluidic Impedance Cytometry (MIC) -- 10.3.1 Measurement Principle -- 10.3.2 Behavior of Cells in AC fields -- 10.3.3 Sizing Particles -- 10.3.4 Cell Membrane Capacitance Measurements -- 10.3.5 Microfluidic FBC Chip -- 10.3.6 Accuracy and Resolution -- 10.3.7 Antibody Detection -- 10.4 Further Applications of MIC -- 10.4.1 Cell Counting and Viability -- 10.4.2 Parasitized Cells -- 10.4.3 Tumor Cells and Stem Cell Morphology -- 10.4.4 High-frequency Measurements -- 10.5 Future Challenges -- References -- Chapter 11 Routine Clinical Laboratory Diagnostics Using Point of Care or Lab on a Chip Technology -- 11.1 Introduction -- 11.2 Point-of-care Testing -- 11.2.1 Categorization of POCT Devices -- 11.2.2 Role of POCT in Laboratory Medicine -- 11.3 Glucometers -- 11.3.1 The WHO and ADA Criteria of Diabetes -- 11.3.2 Plasma Glucose or Blood Glucose -- 11.3.3 Glucometers in Medical Practice -- 11.3.4 Glucometers in Gestational Diabetes -- 11.3.5 Continuous Glucose Monitoring -- 11.4 i-STAT: a Multi-parameter Unit-use POCT Instrument -- 11.4.1 Clinical Chemistry -- 11.4.2 Cardiac Markers -- 11.4.3 Hematology -- 11.4.4 Clinical Use and Performance -- 11.5 Conclusions -- References -- Chapter 12 Medimate Minilab, a Microchip Capillary Electrophoresis Self-test Platform -- 12.1 Introduction -- 12.2 Microfluidic Capillary Electrophoresis as a Self-test Platform -- 12.2.1 Conducting a Measurement -- 12.2.2 Measurement Process -- 12.2.3 From Research Technology to Self-test Platform -- 12.3 A Lithium Self-test for Patients with Manic Depressive Illness -- 12.4 Validation Method -- 12.4.1 Applied Guidelines -- 12.4.2 Acceptance Criteria -- 12.4.3 Sample Availability, Preparation, and other Considerations -- 12.5 Validation Results -- 12.5.1 Reproducibility. 12.5.2 Linearity -- 12.5.3 Method Comparison -- 12.5.4 Home Test -- 12.5.5 Other Study Results -- 12.5.6 Final Evaluation -- 12.6 Platform Potential -- 12.6.1 Current Platform Capabilities -- 12.6.2 Future Possibilities and Limitations -- 12.7 Conclusions -- Acknowledgements -- References -- Subject Index. This book provides the reader with a comprehensive review of the latest developments in the application of microfluidics to medicine. EBL201807 Health Physics and Radiation Effects SzGeCERN EBL Medical technology BOOK Suh, Kahp-Yang Wolbers, F Meissner, Rolf van den Berg, Albert Segerink, Loes O'Brien, Paul Nuzzo, Ralph Rocha, Joao Liu, Xiaogang https://cds.cern.ch/auth.py?r=EBLIB_P_2012187 ebook n 201828 201807 21 PUBLIC BOOK DELETED 2630710 SzGeCERN 20190713224558.0 9781849737777 (electronic bk.) electronic version 9781849736541 electronic version 9781849736541 print version oai:cds.cern.ch:2630710 cerncds:BOOK EBL 1713746 eng TK2931 -- .S65 2013eb 541.37 Dincer, Ibrahim Solid oxide fuel cells from materials to system modeling Cambridge Royal Society of Chemistry 2013 539 p ebook Energy and environment series 7 Solid Oxide Fuel Cells -- Contents -- Chapter 1 Introduction to Stationary Fuel Cells -- 1.1 General Introduction to Fuel Cells -- 1.2 Introduction to Low-Temperature Fuel Cells -- 1.3 Introduction to Solid Oxide Fuel Cells -- 1.3.1 Classi cation of SOFC Systems -- 1.3.2 Fuel Options for SOFC -- 1.4 Integrated SOFC Systems -- 1.5 Basic SOFC Modelling -- 1.6 Case Study -- 1.6.1 Analysis -- 1.6.2 Results and Discussion -- 1.7 Conclusions -- References -- Chapter 2 Electrolyte Materials for Solid Oxide Fuel Cells (SOFCs) -- 2.1 A General Introduction to Electrolyte of SOFCs -- 2.2 The Requirements of Electrolyte -- 2.3 Classi cation of Electrolytes -- 2.3.1 Oxygen-ion Conducting Electrolyte -- 2.3.2 Proton-conducting Electrolyte -- 2.3.3 Dual-phase Composite Electrolyte -- 2.4 Future Vision -- References -- Chapter 3 Cathode Material Development -- 3.1 Introduction -- 3.2 Cathodes for Oxygen Ion-Conducting Electrolyte Based SOFCs -- 3.2.1 Electron Conducting Cathodes -- 3.2.2 Mixed Oxygen Ion-Electron Conducting Cathodes -- 3.2.3 Microstructure Optimized Cathodes -- 3.2.4 Cathode Reaction Mechanisms -- 3.3 Cathodes for Proton-Conducting Electrolyte Based SOFCs -- 3.3.1 Electron-Conducting Cathodes -- 3.3.2 Mixed Oxygen Ion-Electron Conducting Cathodes -- 3.3.3 Mixed Electron-Proton Conducting Cathodes -- 3.3.4 Microstructure Optimized Cathodes -- 3.3.5 Cathode Reaction Mechanisms -- 3.4 Summary and Conclusions -- Acknowledgements -- References -- Chapter 4 Anode Material Development -- 4.1 Required Properties of Anode Materials -- 4.2 Hydrogen Fuel -- 4.3 Methane Fuel -- 4.3.1 Conventional Ni/YSZ Anodes -- 4.3.2 Alternative Anodes -- 4.4 Higher Hydrocarbon Fuels (Propane and Butane) -- 4.5 Fuels from Biomass -- 4.5.1 Biomass-Simulated Gas -- 4.5.2 Biomass - Actual Gas -- 4.6 Liquid Fuels -- 4.7 Ammonia Fuel -- 4.8 Conclusions -- References. Chapter 5 Interconnect Materials for SOFC Stacks -- 5.1 Introduction -- 5.2 Lanthanum Chromites as Interconnect -- 5.2.1 Conductivity -- 5.2.2 Thermal Expansion -- 5.2.3 Gas Tightness, Processing and Chemical Stability -- 5.2.4 Other Ceramic Interconnect -- 5.2.5 Applications -- 5.3 Metallic Alloys as Interconnect -- 5.3.1 Selection of Metallic Materials -- 5.3.2 Problems for Metallic Materials as Interconnect -- 5.3.3 Interconnect Coatings -- 5.3.4 Applications of Metallic Interconnects -- 5.4 Concluding Remarks -- References -- Chapter 6 Nano-structured Electrodes of Solid Oxide Fuel Cells by In ltration -- 6.1 Introduction -- 6.2 In ltration Process -- 6.2.1 The Technique -- 6.2.2 Factors Affecting In ltration Process and Microstructure -- 6.3 Nano-structured Electrodes -- 6.3.1 Performance Promotion Factor -- 6.3.2 Nano-structured Cathodes -- 6.3.3 Nano-structured Anodes -- 6.4 Microstructure and Microstructural Stability of Nano-structured Electrodes -- 6.4.1 Microstructure Effect -- 6.4.2 Microstructural Stability of Nano-structured Electrodes -- 6.5 Electrocatalytic Effects of In ltrated Nanoparticles -- 6.6 Conclusions -- Acknowledgement -- References -- Chapter 7 Three Dimensional Reconstruction of Solid Oxide Fuel Cell Electrodes -- 7.1 The Importance of 3D Characterisation and the Limitations of Stereology -- 7.2 Focused Ion Beam Characterisation -- 7.2.1 The FIB-SEM Instrument -- 7.2.2 Application of FIB-SEM Techniques to SOFC Materials -- 7.3 Microstructural Characterisation using X-rays -- 7.3.1 X-ray Microscopy and Tomography -- 7.3.2 Lab X-ray Instruments -- 7.3.3 Synchrotron X-ray Instruments -- 7.3.4 4-Dimensional Tomography -- 7.4 Data Analysis and Image Based Modelling -- 7.4.1 Data Analysis -- 7.4.2 Image Based Modelling -- 7.5 Conclusions -- References -- Chapter 8 Three-Dimensional Numerical Modelling of Ni-YSZ Anode. 8.1 Introduction -- 8.2 Experimental -- 8.2.1 Button Cell Experiment -- 8.2.2 Microstructure Reconstruction Using FIB-SEM -- 8.3 Numerical Method -- 8.3.1 Quanti cation of Microstructural Parameters -- 8.3.2 Governing Equations for Polarization Simulation -- 8.3.3 Computational Scheme -- 8.4 Results and Discussions -- 8.5 Conclusions -- Acknowledgements -- References -- Chapter 9 Multi-scale Modelling of Solid Oxide Fuel Cells -- 9.1 Introduction and Motivation -- 9.2 Modelling Methodologies: From the Atomistic to the System Scale -- 9.2.1 Overview -- 9.2.2 Molecular Level: Atomistic Modelling -- 9.2.3 Electrode Level (I): Electrochemistry with Mean- eld Elementary Kinetics -- 9.2.4 Electrode Level (II): Porous Mass and Charge Transport -- 9.2.5 Cell Level: Coupling of Electrochemistry with Mass, Charge and Heat Transport -- 9.2.6 Stack Level: Computational Fluid Dynamics Based Design -- 9.2.7 System Level -- 9.3 Bridging the Gap Between Scales -- 9.3.1 General Aspects -- 9.3.2 Electrochemistry -- 9.3.3 Transport -- 9.3.4 Structure -- 9.4 Multi-scale Models for SOFC System Simulation and Control -- 9.4.1 Pressurized SOFC System for a Hybrid Power Plant -- 9.4.2 Tubular SOFC System for Mobile APU Applications -- 9.5 Conclusions -- Acknowledgements -- References -- Chapter 10 Fuel Cells Running on Alternative Fuels -- 10.1 Introduction -- 10.2 Fuel Cell Reactor Set-up -- 10.3 SOFCs Running on Sourgas -- 10.4 SOFCs Running on C2H6 and C3H8 -- 10.4.1 Development of Electrolyte of PC-SOFCs -- 10.4.2 Development of Anode Materials of PC-SOFCs -- 10.5 SOFCs Running on Syngas Containing H2S -- 10.6 SOFCs Running on Pure H2S -- 10.7 Summary -- Acknowledgements -- References -- Chapter 11 Long Term Operating Stability -- 11.1 Introduction -- 11.2 Durability of Stacks/Systems -- 11.2.1 Determination of Stack Performance. 11.2.2 Performance Degradation and Materials Deteriorations -- 11.2.3 Impurities and their Poisoning Effects on Electrode Reactivity -- 11.3 Deteriorations of Electrolytes -- 11.3.1 Destabilization of Mn Dissolved YSZ -- 11.3.2 Conductivity Decrease in Ni-dissolved YSZ -- 11.4 Performance Degradations of Cathode and Anodes -- 11.4.1 Cathode Poisoning -- 11.4.2 Sintering of Ni Cermet Anodes -- 11.5 For Future Work -- 11.6 Conclusions -- Acknowledgement -- References -- Chapter 12 Application of SOFCs in Combined Heat, Cooling and Power Systems -- 12.1 Introduction -- 12.1.1 Drivers for Interest in Co- and Tri-generation Using Fuel Cells -- 12.1.2 Overview of CHP and CCHP -- 12.2 Application Characteristics & Building Integration -- 12.2.1 Commercial Buildings -- 12.2.2 Residential Applications -- 12.2.3 Building Integration & Operating Strategies -- 12.3 Overview of SOFC-CHP/CCHP Systems -- 12.3.1 SOFC System Description for CHP (Co-generation) -- 12.3.2 SOFC System Description for CCHP (Tri-generation) -- 12.4 Modelling Approaches: Cell to System -- 12.4.1 System-level Modelling and Performance Estimation -- 12.4.2 Cell/Stack Modelling for SOFC System Simulation -- 12.4.3 System Optimization Using Techno-economic Model Formulations -- 12.5 Evaluation of SOFC Systems in CCHP Applications -- 12.5.1 Micro-CHP -- 12.5.2 Large-scale CHP and CCHP Applications -- 12.6 Commercial Developments of SOFC-CHP Systems -- 12.6.1 Commercialization Efforts -- 12.6.2 Demonstrations -- 12.7 Market Barriers and Challenges -- 12.7.1 Energy Pricing -- 12.7.2 SOFC Costs -- 12.7.3 Technical Barriers -- 12.7.4 Market Barriers and Environmental Impact -- 12.8 Summary -- References -- Chapter 13 Integrated SOFC and Gas Turbine Systems -- 13.1 Introduction -- 13.2 SOFC/GT Prototypes -- 13.3 SOFC/GT Layouts Classi cation -- 13.4 SOFC/GT Pressurized Cycles. 13.4.1 Internally Reformed SOFC/GT Cycles -- 13.4.2 Anode Recirculation -- 13.4.3 Heat Recovery Steam Generator (HRSG) -- 13.4.4 Externally Reformed SOFC/GT Cycles -- 13.4.5 Hybrid SOFC/GT-Cheng Cycles -- 13.4.6 Hybrid SOFC/Humidi ed Air Turbine (HAT) -- 13.4.7 Hybrid SOFC/GT-ITSOFC Cycles -- 13.4.8 Hybrid SOFC/GT-Rankine Cycles -- 13.4.9 Hybrid SOFC/GT with Air Recirculation or Exhaust Gas Recirculation (EGR) -- 13.5 SOFC/GT Atmospheric Cycles -- 13.6 SOFC/GT Power Plant: Control Strategies -- 13.7 Hybrid SOFC/GT Systems Fed by Alternative Fuels -- 13.8 IGCC SOFC/GT Power Plants -- References -- Chapter 14 Modelling and Control of Solid Oxide Fuel Cell -- 14.1 Static Identi cation Model -- 14.1.1 Nonlinear Modelling Based on LS-SVM -- 14.1.2 Nonlinear Modelling Based on GA-RBF -- 14.2 Dynamic Identi cation Modelling for SOFC -- 14.2.1 ANFIS Identi cation Modelling -- 14.2.2 Hammerstein Identi cation Modelling -- 14.3 Control Strategies of the SOFC -- 14.3.1 Constant Voltage Control -- 14.3.2 Constant Fuel Utilization Control -- 14.3.3 Simulation -- 14.4 Conclusions -- References -- Subject Index. Solid oxide fuel cells (SOFCs) are promising electrochemical power generation devices that can convert chemical energy of a fuel into electricity in an efficient, environmental-friendly, and quiet manner. Due to their high operating temperature, SOFCs feature fuel flexibility as internal reforming of hydrocarbon fuels and ammonia thermal cracking can be realized in SOFC anode. This book first introduces the fundamental principles of SOFCs and compares SOFC technology with conventional heat engines as well as low temperature fuel cells. Then the latest developments in SOFC R&D are reviewed and future directions are discussed. Key issues related to SOFC performance improvement, long-term stability, mathematical modelling, as well as system integration/control are addressed, including material development, infiltration technique for nano-structured electrode fabrication, focused ion beam - scanning electron microscopy (FIB-SEM) technique for microstructure reconstruction, the Lattice Boltzmann Method (LBM) simulation at pore scale, multi-scale modelling, SOFC integration with buildings and other cycles for stationary applications. EBL201807 Chemical Physics and Chemistry SzGeCERN EBL Fuel cells BOOK Shao, Zhong Xia, Changrong Hill, Josephine M Liu, Xingbo Jiang, San Ping Ni, Meng Zhao, Tim S Peter, Laurie Schuth, Ferdi https://cds.cern.ch/auth.py?r=EBLIB_P_1713746 ebook n 201828 201807 21 PUBLIC BOOK DELETED 2630708 SzGeCERN 20190713224558.0 9781849737760 (electronic bk.) electronic version 9781849736534 electronic version 9781849736534 print version oai:cds.cern.ch:2630708 cerncds:BOOK EBL 1713741 eng TA1530 -- .R47 2013eb 621.365 Miguez, Hernan R Responsive photonic nanostructures smart nanoscale optical materials Cambridge Royal Society of Chemistry 2013 353 p ebook Smart materials series 5 Responsive Photonic Nanostructures -- Contents -- Chapter 1 Responsive Bragg Reflectors -- 1.1 Introduction -- 1.2 Fundamentals: Optical Properties of Multilayers -- 1.2.1 Reflection and Transmission -- 1.2.2 Field Distribution Inside Multilayers -- 1.3 Methods and Materials -- 1.3.1 Reactive Substrates: Porous Silicon and Alumina Bragg Mirrors -- 1.3.2 Nanoparticle Multilayers -- 1.3.3 Supramolecularly Templated Multilayers -- 1.3.4 Glancing-Angle Deposition:Columnar Structures -- 1.3.5 Polymeric Multilayers -- 1.3.6 Hybrid Multilayers -- 1.4 Response to Environmental Changes -- 1.4.1 Effect of Infiltration: Refractive-Index Changes and Swelling -- 1.4.2 Examples of Optical Response -- 1.5 Concluding Remarks -- Acknowledgements -- References -- Chapter 2 Stop-Bands in Photonic Crystals: From Tuning to Sensing -- 2.1 Natural Photonic Crystals and Bioinspiration -- 2.1.1 Photonic Stop-Band and Structural Color -- 2.1.2 Variable Structural Color in Nature -- 2.1.3 General Strategies of Tuning -- 2.2 Responsive-Molecules-Based Tunable Photonic Crystals -- 2.2.1 Photochromic Photonic Crystals -- 2.2.2 Liquid-Crystal Photonic Crystals -- 2.3 Magnetic-Nanoparticles-Based Tunable Colloidal Crystals -- 2.3.1 Magnetically Tunable Film -- 2.3.2 Magnetochromatic Microcapsules -- 2.4 Smart Photonic Materials for Sensing -- 2.4.1 Photonic Crystal Films for Label-Free Sensing -- 2.4.2 Photonic Crystal Beads for Bioassays -- References -- Chapter 3 Opal Photonic Crystal Films with Tunable Structural Color -- 3.1 Introduction -- 3.2 Tunable Optical Properties of Opal Composites -- 3.3 Tuning the Lattice Distance via Swelling Phenomena -- 3.4 Tuning the Lattice Distance Using Mechanical Deformation -- 3.5 Potential Applications Using Structural Color -- 3.5.1 Chromic Materials for Sensors -- 3.5.2 Structural Color for Printing and Displays. 3.5.3 Color-Tunable Textile Fibers -- 3.5.4 Visualization Technique for the Strain Deformation of Metal Plates -- References -- Chapter 4 Tuning Color and Chroma of Opal and Inverse Opal Structures -- 4.1 Introduction -- 4.2 Stop-Band Features in Opal and Inverse Opal Photonic Crystal -- 4.2.1 Stop-Band Position -- 4.2.2 Stop-Band Shape and Intensity -- 4.3 Dynamic Color Changes in Opaline Photonic Crystals -- 4.3.1 Chromic Changes in Opal Structures by Modification of Lattice Parameters -- 4.3.2 Chromic Changes in Opal Structures by Modification of Refractive Indices -- 4.4 Dynamic Color Changes in Inverse Opal Photonic Crystals -- 4.5 Color Optimization in Opal and Inverse Opal Materials -- 4.6 Conclusions -- References -- Chapter 5 Optical Properties of Tunable Photonic Crystals Using Liquid Crystals -- 5.1 Introduction -- 5.2 Fundamentals of 1D Photonic Crystals -- 5.3 Tunable Defect Mode in Photonic Crystals with a Liquid-Crystal Defect -- 5.3.1 Tunable Defect Mode -- 5.3.2 Defect-Mode Laser -- 5.3.3 Electro-Optic Switch Using a Tunable Defect Mode -- 5.3.4 Polarization Device Using a Liquid-Crystal Defect -- 5.4 Defect-Free Photonic Crystal Infiltrated with a Liquid Crystal -- 5.4.1 Tunable Laser in Liquid-Crystal/Polymer Grating -- 5.4.2 Tunable Negative Refractive Index -- References -- Chapter 6 Tunable Colloidal Crystals Immobilized in Soft Hydrogels -- 6.1 Introduction -- 6.2 Fabrication of Gel-Immobilized Colloidal Crystals -- 6.2.1 Single-Crystal-Like Colloidal Crystal Film -- 6.2.2 Colloidal Crystal Spheres -- 6.2.3 Colloidal Crystal Shells -- 6.3 Tuning Properties of the Gel-Immobilized Colloidal Crystals -- 6.3.1 Tuning by Temperature -- 6.3.2 Tuning by Mechanical Stress -- 6.3.3 Tuning by Ionic Liquids -- 6.4 Tuning the Effective Bandwidth in the Gel-Immobilized Colloidal Crystal Film. 6.5 Dry Colloidal Crystal Gel Film without Cracks -- Acknowledgements -- References -- Chapter 7 Applications of Stimuli-Sensitive Inverse Opal Gels -- 7.1 Introduction to Stimuli-Sensitive Inverse Opal Gels -- 7.2 Visualization and Spectroscopic Analysis of the Self-Sustaining Peristaltic Motion of Inverse Opal Gels Synchronized with the BZ Reaction -- 7.3 A Light-Sensitive Inverse Opal Gel that Exhibits Rapid Two-State Switching between Two Arbitrary Structural Colors -- 7.4 Tunable Full-Color Material from Gel Particles Confined in Inverse Opal Gels -- 7.5 Conclusions -- Acknowledgements -- References -- Chapter 8 Bioinspired Fabrication of Colloidal Photonic Crystals with Controllable Optical Properties and Wettability -- 8.1 Introduction -- 8.1.1 Functional Biological PCs -- 8.2 Bioinspired Fabrication of Functional PCs -- 8.2.1 Fabrication of PCs with Controllable Wettability -- 8.2.2 Anisotropic PCs from Special Latex Particles -- 8.2.3 Fabrication of Colloidal PCs with High Mechanical Strength -- 8.2.4 Large-Scale Fabrication of Colloidal PCs by Spray Coating or Inkjet Printing -- 8.3 Application of Photonic Crystals in Various Optic Devices -- 8.3.1 High-Performance Photoluminescent Devices -- 8.3.2 Ultrasensitive Detecting -- 8.3.3 High-Performance Optical Data Storage -- 8.3.4 High-Efficiency Light Catalysis -- References -- Chapter 9 Magnetic Assembly and Tuning of Colloidal Responsive Photonic Nanostructures -- 9.1 Introduction -- 9.2 Magnetic Interactions -- 9.3 Magnetic Assembly of Colloidal Photonic Structures -- 9.4 Magnetic Tuning of Photonic Properties -- 9.5 Applications of Magnetically Responsive Photonic Nanostructures -- 9.5.1 Flexible Magnetically Responsive Photonic Film -- 9.5.2 Rewritable Photonic Paper by Solvent Swelling -- 9.5.3 Humidity Sensor -- 9.5.4 Magnetically Responsive Orientation-Dependent Photonic Structures. 9.5.5 Structural Color Printing and Encoding -- 9.5.6 Colloidal Force Measurement -- 9.6 Conclusion -- Acknowledgements -- Biographical Information -- References -- Chapter 10 Chemical Routes to Fabricate Three-Dimensional Magnetophotonic Crystals -- 10.1 Introduction -- 10.1.1 Photonics in Our Future -- 10.1.2 Photonic Crystals: Photonic Bandgap Effects -- 10.1.3 Magnetophotonic Crystals: Magneto-Optical Effects -- 10.1.4 Three-Dimensional Magnetophotonic Crystals Fabrication Approaches -- 10.2 3D Magnetophotonic Crystals by Infiltration with ex-situ Synthesized Magnetic Nanoparticles to the Opal Structure -- 10.2.1 Nanoparticles Synthesis, Structural and Functional (Magnetic, Magneto-Optical) Characterization -- 10.2.2 Inverse Magnetophotonic Crystal System. Structural and Optical/Magneto-Optical Properties. Enhanced Magneto-Optical Effects -- 10.3 3D Magnetophotonic Crystals Using in-situ Deposition of Magnetic Nanoparticles -- 10.3.1 Magnetic Ferrite Nanoparticles -- 10.3.2 Magnetophotonic Crystals - Structural Characterization (Influence of Precursor Types, Concentration, Deposition Time, Surface Chemical Functionalization) -- 10.3.3 Magnetophotonic Crystals: Functionalities (Optical and Magneto-Optical) of Direct and Inverse Magnetic Opals. Enhanced Magneto-Optical Effects -- 10.4 Conclusions and Outlook -- Acknowledgements -- References -- Chapter 11 Polymer Nanocomposites: Conductivity, Deformations and Photoactuation -- 11.1 Introduction -- 11.2 Dispersion of Nanostructures into Elastomers -- 11.2.1 Nanotube Separation and Dispersion -- 11.2.2 Nanostructure Stabilization -- 11.2.3 Dispersion of Nanoparticles in Liquid-Crystalline Elastomers -- 11.3 Nanocomposite Conductivity -- 11.3.1 Nanotube Network Coating -- 11.3.2 Bulk Nanotube Composite -- 11.4 Light-Induced Actuation -- 11.4.1 Sensitizing Polymers to Light. 11.4.2 Enhancement of Shape-Memory Properties -- 11.4.3 Actuation of Aligned LCE Nanocomposites -- 11.5 Conclusions -- References -- Subject Index. A comprehensive summary on responsive photonic nanostructures for postgraduates and researchers in academia and industry interested in smart materials and their potential applications. EBL201807 Engineering SzGeCERN EBL Nanophotonics BOOK Gu, Zhongze Fudouzi, Hiroshi Stein, Andreas Ozaki, Ryotaro Kanai, Toshimitsu Takeoka, Yukikazu Yin, Yadong Schneider, Hans-Jorg Shahinpoor, Mohsen https://cds.cern.ch/auth.py?r=EBLIB_P_1713741 ebook n 201828 201807 21 PUBLIC BOOK DELETED 2630702 SzGeCERN 20190713224558.0 9781849737364 (electronic bk.) electronic version 9781849735711 electronic version 9781849735711 print version oai:cds.cern.ch:2630702 cerncds:BOOK EBL 1713710 eng QD505 -- .E69 2013eb 541.395 547.215 Avgouropoulos, George Environmental catalysis over gold-based materials Cambridge Royal Society of Chemistry 2013 239 p ebook RSC catalysis series 13 Intro -- fig1 -- fig1 -- fig2 -- fig2 -- fig3 -- fig3 -- fig4 -- fig4 -- fig5 -- fig5 -- fig6 -- fig6 -- fig7 -- fig7 -- _s_h_o_w_12_ -- fig8 -- fig8 -- _s_h_o_w_14_ -- fig9 -- fig9 -- fig10 -- fig10 -- fig11 -- fig11 -- fig12 -- fig12 -- fig1 -- fig1 -- fig2 -- fig2 -- fig3 -- fig3 -- fig4 -- fig4 -- fig5 -- fig5 -- fig6 -- fig6 -- fig7 -- fig7 -- fig8 -- fig8 -- fig9 -- fig9 -- fig10 -- fig10 -- sch1 -- sch1 -- fig1 -- fig1 -- fig2 -- fig2 -- fig3 -- fig3 -- fig4 -- fig4 -- fig5 -- fig5 -- fig6 -- fig6 -- fig7 -- fig7 -- fig8 -- fig8 -- sch2 -- sch2 -- fig9 -- fig9 -- fig10 -- fig10 -- fig11 -- fig11 -- sch3 -- sch3 -- fig12 -- fig12 -- fig1 -- fig1 -- fig2 -- fig2 -- fig3 -- fig3 -- fig4 -- fig4 -- fig5 -- fig5 -- _s_h_o_w_110_ -- fig6 -- fig6 -- fig7 -- fig7 -- fig8 -- fig8 -- fig9 -- fig9 -- fig10 -- fig10 -- fig1 -- fig1 -- fig2 -- fig2 -- fig3 -- fig3 -- fig4 -- fig4 -- fig5 -- fig5 -- fig6 -- fig6 -- fig7 -- fig7 -- fig8 -- fig8 -- fig9 -- fig9 -- fig10 -- fig10 -- fig11 -- fig11 -- fig12 -- fig12 -- fig13 -- fig13 -- fig14 -- fig14 -- fig15 -- fig15 -- fig16 -- fig16 -- fig1 -- fig1 -- fig2 -- fig2 -- fig3 -- fig3 -- sch1 -- sch1 -- fig4 -- fig4 -- fig5 -- fig5 -- sch2 -- sch2 -- sch3 -- sch3 -- fig6 -- fig6 -- fig7 -- fig7 -- fig8 -- fig8 -- fig9 -- fig9 -- fig10 -- fig10 -- fig11 -- fig11 -- fig12 -- fig12 -- sch4 -- sch4 -- fig13 -- fig13 -- sch5 -- sch5 -- sch6 -- sch6 -- sch7 -- sch7 -- sch8 -- sch8 -- fig14 -- fig14 -- sch9 -- sch9 -- sch10 -- sch10 -- fig15 -- fig15 -- sch11 -- sch11 -- fig16 -- fig16 -- fig17 -- fig17 -- fig1 -- fig1 -- fig3 -- fig3 -- fig2 -- fig2 -- fig5 -- fig5 -- fig4 -- fig4 -- fig6 -- fig6 -- fig7 -- fig7 -- _s_h_o_w_217_. This book presents the major developments in hydrogen-related catalytic and electrocatalytic reactions over gold-based materials over the last decade, including many of the advances made by academic and industrial researchers. Gold-based catalysts with potentially exciting new applications in hydrogen technology (e.g. purification of hydrogen, anode/cathode electrodes) are being investigated at a much higher rate than even before. A variety of techniques to synthesize, characterize and evaluate these materials is being employed. The book will be of interest to all those working in catalysis/green chemistry, in particular, to advanced level researchers in catalysis using gold-based materials. It is hoped that specialists in one reaction will read with interest the chapters on the neighbouring expertise. The book is also meant for PhD-students and advanced students interested in this area. EBL201807 Chemical Physics and Chemistry SzGeCERN EBL Catalysis EBL Environmental chemistry BOOK Tabakova, Tatyana Hutchings, Graham J Louis, Catherine Boccuzzi, Flora Avgouropoulos, George Rodriguez, Jose Corma, Avelino Keel, Trevor Spivey, James J https://cds.cern.ch/auth.py?r=EBLIB_P_1713710 ebook n 201828 201807 21 PUBLIC BOOK DELETED 2630701 SzGeCERN 20190713224558.0 9781849737302 (electronic bk.) electronic version 9781849736121 electronic version 9781849736121 print version oai:cds.cern.ch:2630701 cerncds:BOOK EBL 1713706 eng RC78.7.D53 -- D48 2013eb 610.28 Thompson, Michael Detection challenges in clinical diagnostics Cambridge Royal Society of Chemistry 2013 267 p ebook Detection science 2 Detection Challenges in Clinical Diagnostics -- Contents -- List of Contributors -- Chapter 1 Biosensor Technology and the Clinical Biochemistry Laboratory - Issue of Signal Interference from the Biological Matrix -- 1.1 Laboratory Clinical Biochemical Assays -- 1.2 Biosensor Technology -- 1.2.1 Biosensor Architecture -- 1.2.2 Probe Attachment to Device Surfaces -- 1.2.3 Devices and Transduction -- 1.3 Biosensors and Measurement of Clinical Targets -- 1.4 Signal Interference and the Non-speci c Adsorption Problem -- 1.5 A Look at Surface Chemistries to Solve the NSA Issue -- 1.6 A Final Comment -- Acknowledgements -- References -- Chapter 2 Integrated Chemistries for Analytical Simpli cation and Point of Care Testing -- 2.1 Introduction -- 2.2 Fluidics for POCT -- 2.3 Lateral Flow Techniques - From Simple Colorimetric Strips to 3D Flow -- 2.3.1 Colorimetric Strips -- 2.3.2 Nanoparticle Labels -- 2.3.3 New Opportunities -- 2.4 Biological Recognition -- 2.4.1 Immobilisation Techniques -- 2.4.2 Enzyme-Based Systems -- 2.4.3 Aptamers as Biorecognition Elements -- 2.5 Electrochemical Sensors -- 2.5.1 Ion-Selective Electrodes -- 2.5.2 Amperometric Enzyme Biosensors -- 2.5.3 Immunosensors -- 2.5.4 DNA Sensors -- 2.6 Micromechanical Transduction -- 2.7 Commercialisation -- 2.8 Conclusions -- Acknowledgement -- References -- Chapter 3 Blood-Glucose Biosensors, Development and Challenges -- 3.1 Introduction -- 3.2 History of Blood-Glucose Biosensor -- 3.2.1 First Generation of Biosensors -- 3.2.2 Second Generation of Glucose Biosensors -- 3.2.3 Third Generation of Glucose Biosensor -- 3.3 Sensors for BGMS -- 3.3.1 Electrode -- 3.3.2 Reaction Chamber -- 3.3.3 Chemistry -- 3.3.4 Detection Method -- 3.3.5 Correction Algorithm -- 3.3.6 Calibration of BGMS -- 3.3.7 Performance Validation of BGMS -- 3.3.8 Manufacturing Process. 3.4 Clinical Utility and Potential Problems -- 3.5 Continuous Glucose Monitoring System (CGMS) -- References -- Chapter 4 Recent Progress in the Electrochemical Detection of Disease-Related Diagnostic Biomarkers -- 4.1 Introduction -- 4.2 Electrochemical Sensors for Detection of Cancer Biomarkers -- 4.2.1 Electrochemical Sensors for Carcinoembryonic Antigen -- 4.2.2 Electrochemical Sensors for Prostate-Speci c Antigen -- 4.2.3 Electrochemical Sensors for Other Protein Cancer Biomarkers -- 4.2.4 Electrochemical Sensors for Simultaneous Detection of Several Protein Biomarkers -- 4.2.5 Electrochemical Sensors for Genetic Markers of Cancer -- 4.2.6 Electrochemical Sensors for Detection of Cancer Cells -- 4.3 Electrochemical Sensors for Detection of Cardiac Biomarkers -- 4.4 Electrochemical Sensors for Detection of Acquired Immunode ciency Syndrome -- 4.5 Electrochemical Sensors for the Detection of Hepatitis Biomarkers -- 4.5.1 Electrochemical Sensors for Hepatitis B -- 4.5.2 Electrochemical Sensors for Hepatitis C -- 4.6 Electrochemical Sensors for the Detection of Rheumatoid Arthritis Biomarkers -- 4.7 Electrochemical Sensors for the Detection of Celiac Disease Biomarkers -- 4.8 Electrochemical Sensors for the Detection of Urinary Tract Infection Biomarkers -- 4.9 Challenges in the Use of Electrochemical Sensors in Diagnostics -- 4.10 Conclusions -- References -- Chapter 5 In Vivo Sensors for Continuous Monitoring of Blood Gases, Glucose, and Lactate: Biocompatibility Challenges and Potential Solutions -- 5.1 Introduction -- 5.2 Design of In Vivo Sensors -- 5.2.1 Sensing PO2/PCO2/pH in Blood -- 5.2.2 Sensing Glucose in Subcutaneous Tissue -- 5.2.3 Sensing Lactate in Blood -- 5.3 Biocompatibility Issues that In uence In Vivo Sensor Performance and Reliability -- 5.3.1 Details of Biological Response in Blood. 5.3.2 Details of Biological Response in Subcutaneous Tissue -- 5.4 Strategies for Mediating Biological Response to Implanted Sensors -- 5.4.1 Materials Development for Improved Biological Response to Implanted Sensors -- 5.4.2 Active Releasing Materials for Controlling Biological Response -- 5.4.3 Materials to Mimic Biological Form and Function -- 5.5 Summary -- References -- Chapter 6 Peroxynitrite Electrochemical Quanti cation: Recent Advances and Challenges -- 6.1 Introduction -- 6.2 Challenges Confronted in the Accurate Quanti cation of Peroxynitrite -- 6.3 Electrochemical Interfaces and Methods for Peroxynitrite Detection -- 6.4 Strategies to Increase Response Sensitivity: Electroactive Polymers or Graphene -- 6.5 Conclusions and Perspectives -- Acknowledgements -- References -- Chapter 7 The Diagnosis of Myelodysplastic Syndromes -- 7.1 Morphological Features of Myelodysplasia -- 7.1.1 Erythroid Dysplasia -- 7.1.2 Granulocytic Dysplasia -- 7.1.3 Megakaryocytic Dysplasia -- 7.2 Differential Diagnosis of Myelodysplasia -- 7.2.1 Metabolic Abnormalities -- 7.2.2 Drugs and Toxins -- 7.2.3 Infectious Diseases -- 7.2.4 Congenital Disorders -- 7.2.5 Acute Myeloid Leukaemia and Other Haematopoietic Neoplasms -- 7.3 Initial Assessment of a Patient with Possible MDS -- 7.4 Additional Diagnostic Tools for MDS -- 7.4.1 Bone Marrow Aspirate Cytochemistry -- 7.4.2 Bone Marrow Trephine Biopsy -- 7.4.3 Cytogenetics -- 7.4.4 Immunophenotyping -- 7.5 Diagnostic Difficulties in MDS -- 7.5.1 Unexplained Cytopenias in the Presence of Minimal Dysplasia -- 7.5.2 Myelioproliferative/Myelodysplastic Overlap Syndromes -- 7.5.3 Cytopenias in the Presence of a Hypocellular Bone Marrow -- 7.5.4 Dysplasia in the Presence of Bone Marrow Fibrosis -- 7.6 Subclassi cation of MDS -- 7.6.1 Original FAB Classi cation -- 7.6.2 WHO Classi cation 3rd Edition and 4th Edition. 7.7 Evolving Understanding of the Pathophysiology of MDS -- 7.7.1 Altered Methylation -- 7.7.2 Abnormalities in RNA Splicing Machinery -- References -- Chapter 8 The Prospects for Real-Time Raman Spectroscopy for Oesophageal Neoplasia -- 8.1 The Clinical Problem -- 8.2 Endoscopic Recognition of Dysplasia and Cancer -- 8.3 Raman Spectroscopy -- 8.4 Instrumentation -- 8.5 Raman Spectroscopy for Medical Diagnosis -- 8.6 Raman Spectroscopy Assessment of Oesophageal Pathology -- 8.7 Fibre-Optic Raman Spectroscopy -- 8.8 Novel Raman Probe -- 8.9 Discussion -- References -- Chapter 9 Volatile Analysis for Clinical Diagnostics -- 9.1 Volatile Diagnostics -- 9.1.1 GC-MS and SIFT-MS Techniques -- 9.1.2 Electronic Noses -- 9.2 Applications of Volatile Fingerprinting -- 9.2.1 Food -- 9.2.2 Medical Applications -- 9.2.3 Environmental -- 9.3 Ventilator-Associated Pneumonia (VAP) -- Acknowledgements -- References -- Subject Index. There are many remaining challenges impeding future progress in field of Clinical Diagnostics. This book presents a technical assessment and vision of clinical leaders, scoping the clinical and other diagnostic needs and the bottle-necks in their cognate fields. EBL201807 Health Physics and Radiation Effects SzGeCERN BOOK Vadgama, Pankaj Wang, Yuan Gaspar, Szilveszter Peteu, Serban Thompson, Michael Arrigan, Damien Reddy, Subrayal M https://cds.cern.ch/auth.py?r=EBLIB_P_1713706 ebook n 201828 201807 21 PUBLIC BOOK DELETED 2630698 SzGeCERN 20190713224558.0 9781849737265 (electronic bk.) electronic version 9781849731966 electronic version 9781849731966 print version oai:cds.cern.ch:2630698 cerncds:BOOK EBL 1713700 eng QD412.C5 -- M67 2013eb 541.3482 Morrison, Robert D Chlorinated solvents a forensic evaluation Cambridge Royal Society of Chemistry 2013 591 p ebook Environmental forensics 1 Chlorinated Solvents -- Contents -- Chapter 1 Physical and Chemical Properties of Selected Chlorinated Solvents -- 1.1 Introduction -- 1.2 Physical and Chemical Properties -- 1.2.1 Viscosity -- 1.2.2 Vapor Pressure -- 1.2.3 Solubility -- 1.2.4 Henry's Law Constant (KH) -- 1.2.5 Relative Vapor Density -- 1.2.6 Boiling Point -- 1.2.7 Molecular Weight -- 1.2.8 Hydrolysis -- 1.2.9 Hildebrand Solubility for Soil -- 1.2.10 Hansen Solubility -- 1.2.11 Hydrophilic/Lipophilic Balance (HLB) -- 1.3 Degradation Concepts and Nomenclature -- 1.4 Degradation of Chlorinated Compounds -- 1.4.1 Tetrachloroethylene (PCE) -- 1.4.2 Trichloroethylene (TCE) -- 1.4.3 Methyl Chloroform (1,1,1-TCA) -- 1.4.4 Carbon Tetrachloride -- 1.4.5 CFC-113 (1,1,2 trichloro-1,1,2 trifluoroethane) -- 1.5 Conclusion -- References -- Chapter 2 Stabilizers and Impurities -- 2.1 Introduction -- 2.2 Stabilizer Categories -- 2.2.1 Antioxidants -- 2.2.2 Light Inhibitors -- 2.2.3 Thermal Stabilizers -- 2.2.4 Acid Acceptors -- 2.2.5 Metal Inhibitors -- 2.3 Stabilizer Tests -- 2.3.1 Acid Acceptance Value (AAV) -- 2.3.2 Kauri Gum Index (Kauri Butanol Kb) -- 2.3.3 Partitioning Experiments -- 2.3.4 Vapor Degreaser Experiments -- 2.3.5 Aluminium Scratch Test -- 2.3.6 Stabilizer Synergy Testing -- 2.3.7 Accelerated Oxidation Test -- 2.4 Stabilizers and Patent Literature -- 2.5 Diagnostic Stabilizers -- 2.5.1 Methodology -- 2.5.2 Epichlorohydrin -- 2.5.3 1,2,3-Trichoropropane (TCP) -- 2.5.4 1,4-dioxane -- 2.5.5 Thymol -- 2.6 Use of PCE Stabilizers for Source Identification -- 2.7 PCE Stabilizers and Impurities for Release Reconstruction -- 2.8 Accumulation of PCE as an Impurity in TCE Distillation Still Residue -- 2.9 TCE Stabilizers for Source and Date of Manufacture Estimates -- 2.10 TCE Stabilizers and Impurities for Release Reconstruction. 2.11 Methyl Chloroform Stabilizers and Impurities for Release Reconstruction -- 2.12 Feedstock Impurities in TCE, PCE and Methyl Chloroform for Age Dating -- 2.13 Conclusion -- References -- Chapter 3 Perchloroethylene (PCE) -- 3.1 Introduction -- 3.2 PCE Production -- 3.2.1 Production Processes -- 3.3 PCE Stabilizers -- 3.4 Manufacturing Impurities -- 3.5 Applications -- 3.5.1 Dry Cleaning -- 3.5.2 Automotive Products -- 3.5.3 Degreasing -- 3.5.4 Pesticides -- 3.5.5 PCE as a Dielectric Fluid -- 3.5.6 Flushing Electrical Transformers Containing PCBs -- 3.5.7 Cold Cleaning -- 3.5.8 Precursor in the Synthesis of Fluorocarbons -- 3.5.9 Cold Flotation Testing -- 3.5.10 Degreasing Circuit Boards -- 3.5.11 Textile Scouring -- 3.5.12 Film Cleaning -- 3.5.13 Miscellaneous -- 3.6 Conclusion -- References -- Chapter 4 Trichloroethylene (TCE) -- 4.1 Introduction -- 4.2 Regulatory Context -- 4.3 PCE Production -- 4.3.1 Production of TCE from Acetylene -- 4.3.2 Production of TCE from 1,1,2,2-TeCA -- 4.3.3 Production of TCE from Ethylene -- 4.3.4 Production of TCE from Ethylene Dichloride -- 4.3.5 Production of TCE from Dichloroethylene -- 4.4 TCE Stabilizers -- 4.5 Manufacturing Impurities -- 4.6 Manufacturers' Specifications -- 4.7 Military Specifications -- 4.8 Applications -- 4.8.1 Vapor Degreasing -- 4.8.2 Chemical Intermediate -- 4.8.3 Spotting Agents -- 4.8.4 Adhesives -- 4.8.5 Solvent Extraction -- 4.8.6 Anesthetic -- 4.8.7 Asphalt Testing -- 4.8.8 Aerosol Products -- 4.8.9 Phosphatizing -- 4.8.10 Textiles -- 4.8.11 Wool Scouring -- 4.8.12 Cleaning Oil Tanks in Ships -- 4.8.13 Miscellaneous -- 4.9 Conclusion -- References -- Chapter 5 Carbon Tetrachloride -- 5.1 Introduction -- 5.2 Production History -- 5.3 Manufacturing Processes -- 5.3.1 Chlorinolysis of Hydrocarbons -- 5.3.2 Production of Carbon Tetrachloride from Methane. 5.3.3 Production of Carbon Tetrachloride from Carbon Disulfide -- 5.3.4 Methanol Hydrochlorination-Methyl Chloride Chlorination -- 5.4 Stabilizers -- 5.5 Impurities in Carbon Tetrachloride -- 5.6 Historical Applications -- 5.6.1 Production of Chlorofluorocarbons -- 5.6.2 Fumigants -- 5.6.3 Dry Cleaning -- 5.6.4 Vapor Degreasing -- 5.6.5 Circuit Interrupter -- 5.6.6 Household Products -- 5.6.7 Fire Extinguishers -- 5.6.8 Miscellaneous -- 5.7 Conclusion -- References -- Chapter 6 Methyl Chloroform (1,1,1-TCA) -- 6.1 Introduction -- 6.2 Regulatory Context -- 6.3 Production -- 6.3.1 Production of Methyl Chloroform from Vinyl Chloride -- 6.3.2 Production of Methyl Chloroform from Vinylidene Chloride -- 6.3.3 Non-Catalytic Chlorination of Ethane -- 6.4 TCA Stabilizers -- 6.4.1 Cold Cleaning and Vapor Degreasing Stabilizers -- 6.4.2 1,4-Dioxane -- 6.5 Impurities -- 6.6 Applications -- 6.6.1 Metal Degreasing -- 6.6.2 Aerosol Products -- 6.6.3 Circuit Board Manufacturing -- 6.6.4 Paints -- 6.6.5 Adhesives -- 6.6.6 Chemical Intermediates -- 6.6.7 Surface Coating Operations -- 6.6.8 Textile Industry -- 6.6.9 Auxiliary Blowing Agent for Polyurethane Foam -- 6.6.10 Cleaning Movie Film -- 6.6.11 Septic Tank Cleaners -- 6.6.12 Home Products -- 6.6.13 Flushing Hydraulic Systems -- 6.6.14 Miscellaneous -- 6.7 Conclusion -- References -- Chapter 7 CFC-113 -- 7.1 Introduction -- 7.2 Production of CFC-113 -- 7.3 Formulations -- 7.4 Stabilizers -- 7.5 Applications -- 7.5.1 Metal Cleaning in the Electronics Industry -- 7.5.2 Production of Foam Products -- 7.5.3 Scouring Agent -- 7.5.4 Production of Chlorotrifluoroethylene (CTFE) -- 7.5.5 Precision Cleaning -- 7.5.6 Optical Industry -- 7.5.7 Dry Cleaning -- 7.5.8 Refrigerants -- 7.5.9 Tracers -- 7.5.10 Measuring Residue in Oxygen and Refrigeration Systems -- 7.5.11 Miscellaneous Applications -- 7.6 Conclusion -- References. Chapter 8 A Forensic History of Dry Cleaning -- 8.1 Introduction -- 8.2 Dry Cleaning Chemicals -- 8.2.1 Detergents -- 8.2.2 Bleaches -- 8.2.3 Sizing -- 8.2.4 Flame Retardants -- 8.2.5 Spotting Agents -- 8.2.6 Fabric Conditioners and Stain Repellents -- 8.2.7 Dry Cleaning Solvents -- 8.2.8 Dry Cleaning Solvent Stabilizers -- 8.2.9 Dry Cleaning Solvent Impurities -- 8.3 Categories of Dry Cleaning Equipment -- 8.3.1 First Generation -- 8.3.2 Second Generation (Vented Dry to Dry) -- 8.3.3 Third Generation Closed Loop (Non-vented) Dry to Dry Machines -- 8.3.4 Fourth Generation Closed Loop (Non-vented) Dry to Dry Machines -- 8.3.5 Fifth Generation Closed Loop (non-vented) -- 8.3.6 European Dry Cleaning Machines -- 8.3.7 Coin Operated Dry Cleaning Machines -- 8.3.8 Carbon Dioxide Machines -- 8.3.9 Wet-Cleaning Machines -- 8.4 Components of Dry Cleaning Equipment -- 8.4.1 Filters -- 8.4.2 Solvent Recovery Equipment -- 8.5 Conclusion -- References -- Chapter 9 A Forensic History of Degreasing with Chlorinated Solvents -- 9.1 Introduction -- 9.2 Vapor Degreasing Solvents -- 9.2.1 Perchloroethylene -- 9.2.2 Trichloroethylene -- 9.2.3 Methyl Chloroform -- 9.2.4 Carbon Tetrachloride -- 9.2.5 CFC-113 -- 9.2.6 Other Solvents -- 9.3 Vapor Degreasers -- 9.3.1 Conventional Vapor Degreaser -- 9.3.2 Vapor-Distillate Spray Degreaser -- 9.3.3 Vapor-Spray-Vapor Degreaser -- 9.3.4 Liquid-Vapor Degreaser -- 9.3.5 Two-Chamber Immersion Degreaser -- 9.3.6 Ultrasonic Vapor Degreaser -- 9.3.7 Conveyorized Degreaser -- 9.3.8 Cross-Rod Degreaser -- 9.3.9 Monorail Degreaser -- 9.3.10 Vibra Degreaser -- 9.3.11 Ferris Wheel Degreaser -- 9.3.12 Belt and Strip Degreaser -- 9.3.13 Circuit Board Degreaser -- 9.3.14 Closed System Degreaser -- 9.4 Vapor Degreasing Equipment -- 9.4.1 Freeboard -- 9.4.2 Water Jacket -- 9.4.3 Cooling Coils -- 9.4.4 Carbon Adsorbers -- 9.4.5 Water Separator. 9.4.6 Distillation Still -- 9.4.7 Heat Source -- 9.5 Cold Cleaning -- 9.6 Forensic Opportunities -- 9.6.1 Water Separators -- 9.6.2 Spent Solvent and Distillation Sludge -- 9.7 Conclusion -- References -- Chapter 10 Forensic Investigations of Dry Cleaners -- 10.1 Introduction -- 10.2 Forensic Methodology -- 10.3 Collection of Operational Information -- 10.3.1 Regulatory Documentation -- 10.3.2 Dry Cleaning Equipment -- 10.3.3 Drain and Sewer Information -- 10.3.4 Solvent Consumption -- 10.3.5 Chronology of Facility Renovations -- 10.3.6 Solvent Delivery Location(s) and Protocol -- 10.3.7 Solvent Mileage Records -- 10.3.8 Historical Dumpster Locations -- 10.3.9 Depth to Groundwater -- 10.3.10 Evidence of DNAPL -- 10.3.11 Dendroecology Assessment -- 10.4 Identification of Potential Background Sources -- 10.5 Site Specific Sources -- 10.5.1 Florida Study -- 10.5.2 California Central Valley Regional Water Quality Control Board (RWQCB) -- 10.5.3 State Coalition for the Remediation of Drycleaners (SCRD) -- 10.6 Sample Location -- 10.7 Sampling Density -- 10.8 Sampling Media -- 10.9 Analytical Program -- 10.9.1 Dioxin and Furan Congener Analysis -- 10.9.2 Congener and Homologue PCB Pattern Recognition -- 10.10 Data Reliability -- 10.11 Exploratory Data Analysis (EDA) -- 10.12 Conclusion -- References -- Chapter 11 Releases from a Sewer Pipe -- 11.1 Introduction -- 11.2 Surrogate Indicators of a Sewer Release -- 11.2.1 Trihalomethanes (THMs) -- 11.2.2 Chemical and Physical Indicators -- 11.2.3 Isotopes -- 11.2.4 Analytical Opportunities -- 11.3 Sewer Exfiltration -- 11.4 Colmation Layers -- 11.4.1 Exfiltration Rates from Sewers without a Colmation Layer -- 11.4.2 Exfiltration Rates from Sewers with a Colmation Layer -- 11.4.3 Exfiltration Rates from Sewers with Sediments -- 11.5 Exfiltration Rate Considerations -- 11.6 Conclusion -- References. Chapter 12 Dendroecology. This unique book provides the reader with a concise compilation of information regarding the use of environmental forensic techniques for age dating and identification of the source of a chlorinated solvent release. EBL201807 Chemical Physics and Chemistry SzGeCERN BOOK Murphy, Brian L Morrison, Robert D Mudge, Stephen https://cds.cern.ch/auth.py?r=EBLIB_P_1713700 ebook n 201828 201807 21 PUBLIC BOOK DELETED 2630689 SzGeCERN 20210202231112.0 9780854042159 print version 9781847552310 electronic version electronic version oai:cds.cern.ch:2630689 cerncds:BOOK EBL 1186215 eng TD196.O73 -- V65 1995eb 363.738 Barbour, Anthony K Volatile organic compounds in the atmosphere Cambridge Royal Society of Chemistry 2007 156 p ebook Issues in environmental science and technology 4 Volatile Organic Compounds In The Atmosphere -- Contents -- Sources, Distributions, and Fates of VOCs in the Atmosphere -- 1 Introduction -- 2 Sources of VOCs -- 3 Ambient Concentrations of Organic Compounds -- 4 Fates of Organic Compounds -- 5 Acknowledgements -- Atmospheric VOCs from Natural Sources -- 1 Introduction -- 2 Measurement Methods -- 3 Sources of Natural VOCs in the Atmosphere -- 4 Air Concentrations and Emission Fluxes -- 5 Influence on Atmospheric Chemistry -- 6 Acknowledgements -- The UK Hydrocarbon Monitoring Network -- 1 Introduction -- 2 The United Kingdom Hydrocarbon Network -- 3 Data Summaries and Discussion -- 4 Acknowledgements -- Source Inventories and Control Strategies for VOCs -- 1 Introduction -- 2 Developing Inventories -- 3 Improving and Verifying Inventories -- 4 Uses for Inventories -- 5 Techniques for VOC Abatement -- 6 VOC Control Strategies -- 7 Acknowledgements -- Gas Phase Tropospheric Chemistry of Organic Compounds -- 1 Introduction -- 2 Chemical Loss Processes for Volatile Organic Compounds in the Troposhere -- 3 Tropospheric Chemistry of Alkanes -- 4 Tropospheric Chemistry of Alkenes -- 5 Tropospheric Chemistry of Aromatic Compounds -- 6 Tropospheric Chemistry of Oxygen-containing Compounds -- 7 Tropospheric Chemistry of Nitrogen-containing Compounds -- 8 Conclusions -- Alternatives to CFCs and their Behaviour in the Atmosphere -- 1 Introduction: Alternatives to CFCs -- 2 Reaction Chemistry and Atmospheric Lifetimes of HCFCs and HFCs -- 3 Environmental Effects of HCFCs and HFCs -- 4 Conclusions -- Volatile Organic Compounds in Indoor Air -- 1 Introduction -- 2 Sources of VOCs in Indoor Air -- 3 Measurement of VOCs -- 4 Concentration of VOCs in Indoor Air -- 5 Health Effects of VOCs -- 6 Control of Indoor Air Pollution due to VOCs -- 7 Emission Testing of Products. Volatile Organic Compounds: The Development of UK Policy -- 1 Introduction -- 2 Effects of VOCs on Man and the Wider Environment -- 3 Current VOC Levels in the UK -- 4 Effects of Current UK VOC Levels -- 5 UK Policy Response -- 6 UK Policy Analysis -- 7 Conclusions -- Subject Index. This book provides readers with in-depth, clearly explained coverage of the many complex scientific and policy issues surrounding VOCs in the atmosphere. EBL201807 Commerce, Economics, Social Science SzGeCERN BOOK Burdett, N A Cairns Jr, John Derwent, Richard Chave, P A Crutzen, Paul Fish, Hugh Gittins, Michael J Harries, John E Hopke, Philip K https://cds.cern.ch/auth.py?r=EBLIB_P_1186215 ebook n 201828 21 PUBLIC BOOK DELETED 2630616 20230629061354.0 oai:cds.cern.ch:2630616 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI bibmatch 10.1088/1748-0221/14/05/C05022 arXiv oai:arXiv.org:1806.03879 oai:inspirehep.net:1677370 https://inspirehep.net/api/oai2d Inspire 2023-06-28T14:51:39Z 2023-06-29T02:17:05Z marcxml true Inspire 1677370 arXiv arXiv:1806.03879 physics.ins-det eng De Gruttola, D. Enrico Fermi Ctr., Rome INFN, Salerno Salerno U. Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università di Salerno, Salerno, Italy arXiv Performance of the Multigap Resistive Plate Chambers of the Extreme Energy Events Project 2019-05-28 2018-06-11 8 p arXiv 6 pages, 4 figures, conference RPC 2018 IOP The muon telescopes of the Extreme Energy Events (EEE) Project [1] are made of three Multigap Resistive Plate Chambers (MRPC). The EEE array is composed, so far, of 59 telescopes and is organized in clusters and single telescope stations distributed all over the Italian territory. They are installed in High Schools with the aim to join research and teaching activities, by involving researchers, teachers and students in the construction, maintenance, data taking and data analysis. The unconventional working sites, mainly school buildings with non-controlled environmental parameters and heterogeneous maintenance conditions, are a unique test field for checking the robustness, the low-ageing features and the long-lasting performance of the MRPC technology for particle tracking and timing purposes. The measurements performed with the EEE array require excellent performance in terms of time and spatial resolution, efficiency, tracking capability and stability. The data from two recent coordinated data taking periods, named Run 2 and Run 3, have been used to measure these quantities and the results are described, together with a comparison with expectations and with the results from a beam test performed in 2006 at CERN. arXiv The muon telescopes of the Extreme Energy Events (EEE) Project are made of three Multigap Resistive Plate Chambers (MRPC). The EEE array is composed, so far, of 59 telescopes and is organized in clusters and single telescope stations distributed all over the Italian territory. They are installed in High Schools with the aim to join research and teaching activities, by involving researchers, teachers and students in the construction, maintenance, data taking and data analysis. The unconventional working sites, mainly school buildings with non-controlled environmental parameters and heterogeneous maintenance conditions, are a unique test field for checking the robustness, the low-ageing features and the long-lasting performance of the MRPC technology for particle tracking and timing purposes. The measurements performed with the EEE array require excellent performance in terms of time and spatial resolution, efficiency, tracking capability and stability. The data from two recent coordinated data taking periods, named Run 2 and Run 3, have been used to measure these quantities and the results are described, together with a comparison with expectations and with the results from a beam test performed in 2006 at CERN. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques CERN ARTICLE Abbrescia, M. Enrico Fermi Ctr., Rome Bari U. INFN, Bari Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento Interateneo di Fisica, Università di Bari, Bari, Italy Avanzini, C. Enrico Fermi Ctr., Rome INFN, Pisa Pisa U. Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università di Pisa, Pisa, Italy Baldini, L. Enrico Fermi Ctr., Rome INFN, Pisa Pisa U. Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università di Pisa, Pisa, Italy Baldini Ferroli, R. Enrico Fermi Ctr., Rome Frascati Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN, Laboratori Nazionali di Frascati, Frascati, Italy Batignani, G. Enrico Fermi Ctr., Rome INFN, Pisa Pisa U. Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università di Pisa, Pisa, Italy Battaglieri, M. Enrico Fermi Ctr., Rome Genoa U. INFN, Genoa Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università di Genova, Genova, Italy Boi, S. Enrico Fermi Ctr., Rome Ferrara U. INFN, Rome Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy Dipartimento di Fisica, INFN Gruppo Collegato di Siena, Università di Siena, Siena, Italy Bossini, E. Enrico Fermi Ctr., Rome Ferrara U. INFN, Rome CERN Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy Dipartimento di Fisica, INFN Gruppo Collegato di Siena, Università di Siena, Siena, Italy CERN, Geneva, Switzerland Carnesecchi, F. Enrico Fermi Ctr., Rome INFN, Bologna U. Bologna, DIFA Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna, Italy Chiavassa, A. Enrico Fermi Ctr., Rome INFN, Turin Turin U. Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università di Torino, Torino, Italy Cicalo, C. Enrico Fermi Ctr., Rome Cagliari U. INFN, Cagliari Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università di Cagliari, Cagliari, Italy Cifarelli, L. Enrico Fermi Ctr., Rome INFN, Bologna U. Bologna, DIFA Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna, Italy Coccetti, F. Enrico Fermi Ctr., Rome Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy Coccia, E. Enrico Fermi Ctr., Rome INFN, Rome Rome U., Tor Vergata Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università di Roma Tor Vergata, Roma, Italy Corvaglia, A. Enrico Fermi Ctr., Rome INFN, Lecce Salento U. Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Matematica e Fisica, Università del Salento, Lecce, Italy De Pasquale, S. Enrico Fermi Ctr., Rome INFN, Salerno Salerno U. Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università di Salerno, Salerno, Italy Fabbri, F.L. Enrico Fermi Ctr., Rome Frascati Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN, Laboratori Nazionali di Frascati, Frascati, Italy Frolov, V. Dubna, JINR JINR Joint Institute for Nuclear Research, Dubna, Russia Galante, L. Enrico Fermi Ctr., Rome INFN, Turin Turin U. Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università di Torino, Torino, Italy Galeotti, P. Enrico Fermi Ctr., Rome INFN, Turin Turin U. Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università di Torino, Torino, Italy Garbini, M. Enrico Fermi Ctr., Rome INFN, Bologna U. Bologna, DIFA Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna, Italy Gemme, G. Enrico Fermi Ctr., Rome Genoa U. INFN, Genoa Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università di Genova, Genova, Italy Gnesi, I. Enrico Fermi Ctr., Rome INFN, Turin Turin U. Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università di Torino, Torino, Italy Grazzi, S. Enrico Fermi Ctr., Rome Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy Gustavino, C. Enrico Fermi Ctr., Rome Gran Sasso Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN, Laboratori Nazionali del Gran Sasso, Assergi, Italy Hatzifotiadou, D. Enrico Fermi Ctr., Rome INFN, Bologna U. Bologna, DIFA CERN Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna, Italy CERN, Geneva, Switzerland La Rocca, P. Enrico Fermi Ctr., Rome Catania U. INFN, Catania Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica e Astronomia, Università di Catania, Italy Mandaglio, G. Enrico Fermi Ctr., Rome INFN, Catania Messina U. Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN Sezione di Catania and Dipartimento di Scienze Chimiche, Biologiche, Farmaceutiche e Ambientali, Università di Messina, Messina, Italy Maragoto Rodriguez, O. World Lab., Geneva ICSC World Laboratory, Geneva, Switzerland Maron, G. INFN, CNAF INFN CNAF, Bologna, Italy Mazziotta, M.N. Enrico Fermi Ctr., Rome INFN, Bari Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN Sezione di Bari, Bari, Italy Miozzi, S. Enrico Fermi Ctr., Rome Frascati Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN, Laboratori Nazionali di Frascati, Frascati, Italy Nania, R. Enrico Fermi Ctr., Rome INFN, Bologna U. Bologna, DIFA Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna, Italy Noferini, F. Enrico Fermi Ctr., Rome INFN, Bologna U. Bologna, DIFA Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna, Italy Nozzoli, F. Enrico Fermi Ctr., Rome ASI, Rome INFN, Italy Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and ASI Science Data Center, Roma, Italy Palmonari, F. Enrico Fermi Ctr., Rome INFN, Bologna U. Bologna, DIFA Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna, Italy Panareo, M. Enrico Fermi Ctr., Rome INFN, Lecce Salento U. Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Matematica e Fisica, Università del Salento, Lecce, Italy Panetta, M.P. Enrico Fermi Ctr., Rome INFN, Lecce Salento U. Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Matematica e Fisica, Università del Salento, Lecce, Italy Paoletti, R. Enrico Fermi Ctr., Rome Ferrara U. INFN, Rome Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy Dipartimento di Fisica, INFN Gruppo Collegato di Siena, Università di Siena, Siena, Italy Park, W. World Lab., Geneva ICSC World Laboratory, Geneva, Switzerland Pellegrino, C. INFN, CNAF INFN CNAF, Bologna, Italy Perasso, L. Enrico Fermi Ctr., Rome Genoa U. INFN, Genoa Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università di Genova, Genova, Italy Pilo, F. Enrico Fermi Ctr., Rome INFN, Pisa Pisa U. Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università di Pisa, Pisa, Italy Piragino, G. Enrico Fermi Ctr., Rome INFN, Turin Turin U. Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università di Torino, Torino, Italy Pisano, S. Enrico Fermi Ctr., Rome Frascati Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN, Laboratori Nazionali di Frascati, Frascati, Italy Riggi, F. Enrico Fermi Ctr., Rome Catania U. INFN, Catania Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica e Astronomia, Università di Catania, Italy Righini, G.C. Enrico Fermi Ctr., Rome Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy Ripoli, C. Enrico Fermi Ctr., Rome INFN, Salerno Salerno U. Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università di Salerno, Salerno, Italy Rizzi, M. Enrico Fermi Ctr., Rome Bari U. INFN, Bari Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento Interateneo di Fisica, Università di Bari, Bari, Italy Sartorelli, G. Enrico Fermi Ctr., Rome INFN, Bologna U. Bologna, DIFA Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna, Italy Scapparone, E. Enrico Fermi Ctr., Rome INFN, Bologna U. Bologna, DIFA Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna, Italy Schioppa, M. Enrico Fermi Ctr., Rome Calabria U. INFN, Cosenza Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università della Calabria, Cosenza, Italy Scribano, A. Enrico Fermi Ctr., Rome INFN, Pisa Pisa U. Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università di Pisa, Pisa, Italy Selvi, M. Enrico Fermi Ctr., Rome INFN, Bologna U. Bologna, DIFA Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna, Italy Serci, S. Enrico Fermi Ctr., Rome Cagliari U. INFN, Cagliari Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università di Cagliari, Cagliari, Italy Squarcia, S. Enrico Fermi Ctr., Rome Genoa U. INFN, Genoa Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università di Genova, Genova, Italy Taiuti, M. Enrico Fermi Ctr., Rome Genoa U. INFN, Genoa Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università di Genova, Genova, Italy Terreni, G. Enrico Fermi Ctr., Rome INFN, Pisa Pisa U. Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica, Università di Pisa, Pisa, Italy Trifirò, A. Enrico Fermi Ctr., Rome INFN, Catania Messina U. Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN Sezione di Catania and Dipartimento di Scienze Matematiche e Informatiche, Scienze Fisiche e Scienze della Terra, Università di Messina, Messina, Italy Trimarchi, M. Enrico Fermi Ctr., Rome INFN, Catania Messina U. Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN Sezione di Catania and Dipartimento di Scienze Matematiche e Informatiche, Scienze Fisiche e Scienze della Terra, Università di Messina, Messina, Italy Vistoli, M.C. INFN, CNAF INFN CNAF, Bologna, Italy Votano, L. Enrico Fermi Ctr., Rome Gran Sasso Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN, Laboratori Nazionali del Gran Sasso, Assergi, Italy Williams, M.C.S. Enrico Fermi Ctr., Rome INFN, Bologna U. Bologna, DIFA CERN Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna, Italy CERN, Geneva, Switzerland Zheng, L. Enrico Fermi Ctr., Rome World Lab., Geneva CERN Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy ICSC World Laboratory, Geneva, Switzerland CERN, Geneva, Switzerland Zichichi, A. Enrico Fermi Ctr., Rome INFN, Bologna U. Bologna, DIFA CERN Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy INFN and Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna, Italy CERN, Geneva, Switzerland Zuyeuski, R. Enrico Fermi Ctr., Rome World Lab., Geneva CERN Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Roma, Italy ICSC World Laboratory, Geneva, Switzerland CERN, Geneva, Switzerland EEE Collaboration C05022 05 JINST 14 C18-02-19.3 2019 1420003 785545 http://cds.cern.ch/record/2630616/files/1806.03879.pdf Fulltext 1419998 141585 http://cds.cern.ch/record/2630616/files/mrpc_inner.png 00002 \footnotesize Left: MRPC inner structure; right: Top view of a MRPC chamber, showing the 24 copper strips, the 2 FEA at the edges of the chamber and the connectors where 2 DC/DC converters providing the HV (top left in blue and bottom right in red) are plugged in. The two figures are not to scale. 1419999 70606 http://cds.cern.ch/record/2630616/files/global_time_res.png 00006 \footnotesize Time resolution measured with data taken in Run 3, for 33 telescopes; the average time resolution $\sigma_{t}$ = 238 ps is obtained wuth a gaussian fit. 1420000 115546 http://cds.cern.ch/record/2630616/files/transverse_spatial_res.png 00005 \footnotesize Longitudinal (left) and transverse (right) spatial resolution measured with data taken in Run 2 and Run 3 with 46 telescopes of the EEE network. 1420001 81414 http://cds.cern.ch/record/2630616/files/eff_strip.png 00000 \footnotesize Left: distribution of the efficiency obtained at the plateau (corrected for standard $p$ and $T$) of the middle MRPC for 31 EEE telescopes. An efficiency better than 90\% is reached by 77\% of the network. Right: efficiency vs. strip for 2 EEE telescopes (located in Emilia Romagna region and Sardinia). 1420002 113154 http://cds.cern.ch/record/2630616/files/longitudinal_spatial_res.png 00003 \footnotesize Longitudinal (left) and transverse (right) spatial resolution measured with data taken in Run 2 and Run 3 with 46 telescopes of the EEE network. 1420004 26889 http://cds.cern.ch/record/2630616/files/chamberUpperView3.png 00001 \footnotesize Left: MRPC inner structure; right: Top view of a MRPC chamber, showing the 24 copper strips, the 2 FEA at the edges of the chamber and the connectors where 2 DC/DC converters providing the HV (top left in blue and bottom right in red) are plugged in. The two figures are not to scale. 1420005 83481 http://cds.cern.ch/record/2630616/files/eff.png 00001 \footnotesize Left: distribution of the efficiency obtained at the plateau (corrected for standard $p$ and $T$) of the middle MRPC for 31 EEE telescopes. An efficiency better than 90\% is reached by 77\% of the network. Right: efficiency vs. strip for 2 EEE telescopes (located in Emilia Romagna region and Sardinia). 1515049 113154 http://cds.cern.ch/record/2630616/files/w3_longitudinal_spatial_res.png 00003 \footnotesize Longitudinal (left) and transverse (right) spatial resolution measured with data taken in Run 2 and Run 3 with 46 telescopes of the EEE network. 1515050 81414 http://cds.cern.ch/record/2630616/files/w1_eff_strip.png 00001 \footnotesize Left: distribution of the efficiency obtained at the plateau (corrected for standard $p$ and $T$) of the middle MRPC for 31 EEE telescopes. An efficiency better than 90\% is reached by 77\% of the network. Right: efficiency vs. strip for 2 EEE telescopes (located in Emilia Romagna region and Sardinia). 1515051 141585 http://cds.cern.ch/record/2630616/files/w2_mrpc_inner.png 00002 \footnotesize Left: MRPC inner structure; right: Top view of a MRPC chamber, showing the 24 copper strips, the 2 FEA at the edges of the chamber and the connectors where 2 DC/DC converters providing the HV (top left in blue and bottom right in red) are plugged in. The two figures are not to scale. 1515052 115546 http://cds.cern.ch/record/2630616/files/w6_transverse_spatial_res.png 00005 \footnotesize Longitudinal (left) and transverse (right) spatial resolution measured with data taken in Run 2 and Run 3 with 46 telescopes of the EEE network. 1515053 26889 http://cds.cern.ch/record/2630616/files/w0_chamberUpperView3.png 00000 \footnotesize Left: MRPC inner structure; right: Top view of a MRPC chamber, showing the 24 copper strips, the 2 FEA at the edges of the chamber and the connectors where 2 DC/DC converters providing the HV (top left in blue and bottom right in red) are plugged in. The two figures are not to scale. 1515054 83481 http://cds.cern.ch/record/2630616/files/w4_eff.png 00004 \footnotesize Left: distribution of the efficiency obtained at the plateau (corrected for standard $p$ and $T$) of the middle MRPC for 31 EEE telescopes. An efficiency better than 90\% is reached by 77\% of the network. Right: efficiency vs. strip for 2 EEE telescopes (located in Emilia Romagna region and Sardinia). 1515055 70606 http://cds.cern.ch/record/2630616/files/w5_global_time_res.png 00004 \footnotesize Time resolution measured with data taken in Run 3, for 33 telescopes; the average time resolution $\sigma_{t}$ = 238 ps is obtained wuth a gaussian fit. 13 2304613 C05022 puerto vallarta20180219 ConferencePaper ARTICLE 2629870 20180710125848.0 BUL-SA-2018-086 en fr Staff Association Reducing waste in the workplace Halte aux gaspillages ! 2018 09/07/2018 <!--HTML--> <p><strong>Paper, cardboard, PET, aluminium cans, glass, Nespresso capsules, wood and worksite waste: in 2016, CERN produced no less than 5700 tonnes of waste, about 50% of which was recycled. How can we improve on this? </strong></p> <p>Many measures are already in place at CERN to limit waste and encourage recycling. Several articles have been published to raise awareness among users, Cernois and visitors on ways to limit our waste: <a href="https://home.cern/fr/cern-people/updates/2018/05/much-less-plastic-thats-fantastic">https://home.cern/fr/cern-people/updates/2018/05/much-less-plastic-thats-fantastic</a></p> <p><strong>Did you know?</strong></p> <p>NOVAE restaurants offer a 10 cent discount at the cash register for people who use their own cups/mugs.</p> <p><strong>Focusing on the ubiquitous and well-loved coffee break</strong>, note how much waste can be generated, from the sugar packets to coffee pods, plastic cutlery and especially disposable plastic or paper cups. In the same way our shopping outings are accompanied by reusable shopping bags, why not bring your own mug or cup for your morning or afternoon coffee? Also&nbsp; think about the packaging of the products you consume (coffee, sugar, biscuits...) favouring larger quantities as opposed to single items is often cheaper and especially a source of less waste.</p> <p>The Staff Association encourages these initiatives and would like to hear your ideas, and environmental concerns. Feel free to contact us by email: <a href="mailto:staff association@cern.ch">staff association@cern.ch</a> or speak directly with your delegates.</p> <!--HTML--> <p><strong>Papier, carton, PET, canettes d&#39;aluminium, verre, capsules Nespresso : en 2016, le CERN a produit pas moins de 5700 tonnes de d&eacute;chets, dont environ 50% ont &eacute;t&eacute; recycl&eacute;s. Comment pouvons-nous am&eacute;liorer cela?</strong></p> <p>De nombreuses mesures sont d&eacute;j&agrave; mise ne place au CERN, pour limiter le gaspillage et favoriser le tri des d&eacute;chets. Plusieurs articles ont &eacute;t&eacute; publi&eacute;s afin de sensibiliser les utilisateurs, Cernois et visiteurs sur les moyens pour limiter nos gaspillages&nbsp;: <a href="https://home.cern/fr/cern-people/updates/2018/05/much-less-plastic-thats-fantastic">https://home.cern/fr/cern-people/updates/2018/05/much-less-plastic-thats-fantastic</a></p> <p><strong>Le saviez-vous&nbsp;?</strong></p> <p>Les restaurants NOVAE offrent une r&eacute;duction de 10 centimes &agrave; la caisse aux personnes qui utilisent leurs propre tasses/mugs.</p> <p><strong>Zoom sur la pause-caf&eacute;.</strong> Moment quasi universel au travail, la pause-caf&eacute; produit aussi pas mal de d&eacute;chets&nbsp;: emballages de sucre, dosettes diverses, couverts en plastique et surtout gobelets de carton ou de plastique. <strong>&nbsp;</strong>Comme quand vous allez faire vos courses, vous prenez un sac, pensez &agrave; ramener votre tasse/mug/chopine/perfusion pour consommer votre caf&eacute;&nbsp;! Pensez aussi aux conditionnement des produits que vous consommez (caf&eacute;, sucre, biscuits...) c&rsquo;est souvent moins cher et surtout source de moins de d&eacute;chets.</p> <p>L&rsquo;Association du personnel encourage ces initiatives et est &agrave; l&rsquo;&eacute;coute de vos id&eacute;es, vos pr&eacute;occupations environnementales. N&rsquo;h&eacute;sitez pas a nous contacter par courriel &nbsp;: <a href="mailto:staff.association@cern.ch">staff.association@cern.ch</a> ou aller discuter avec vos d&eacute;l&eacute;gu&eacute;s.</p> NO noicon ONLINE 3 28/2018 CERN Bulletin 3 29/2018 CERN Bulletin Staff.Bulletin@cern.ch jenni.suutala@cern.ch BULLETINSTAFF 2636348 20220630133032.0 oai:cds.cern.ch:2636348 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI bibmatch 10.1007/JHEP11(2018)073 Inspire 1692008 arXiv oai:arXiv.org:1808.09877 arXiv arXiv:1808.09877 hep-ex arXiv:reportnumber CERN-EP-2018-239 eng CERN-EP-DRAFT-LHCf-2018-001 Adriani, O. INFN, Florence Florence U. INFN Section of Florence, Florence, Italy University of Florence, Florence, Italy Measurement of inclusive forward neutron production cross section in proton-proton collisions at $\sqrt{s} = 13$~TeV with the LHCf Arm2 detector 2018-11-12 Geneva CERN 28 Aug 2018 27 p takashi.sako@cern.ch takashi.sako@cern.ch cds-ph-ep-publications-referee [CERN] Springer In this paper, we report the measurement relative to the production of forward neutrons in proton-proton collisions at $ \sqrt{s}=13 $ TeV obtained using the LHCf Arm2 detector at the Large Hadron Collider. The results for the inclusive differential production cross section are presented as a function of energy in three different pseudorapidity regions: η > 10.76, 8.99 < η < 9.22 and 8.81 < η < 8.99. The analysis was performed using a data set acquired in June 2015 that corresponds to an integrated luminosity of 0.194 nb$^{−1}$. The measurements were compared with the predictions of several hadronic interaction models used to simulate air showers generated by Ultra High Energy Cosmic Rays. None of these generators showed good agreement with the data for all pseudorapidity intervals. For η > 10.76, no model is able to reproduce the observed peak structure at around 5 TeV and all models underestimate the total production cross section: among them, QGSJET II-04 shows the smallest deficit with respect to data for the whole energy range. For 8.99 < η < 9.22 and 8.81 < η < 8.99, the models having the best overall agreement with data are SIBYLL 2.3 and EPOS-LHC, respectively: in particular, in both regions SIBYLL 2.3 is able to reproduce the observed peak structure at around 1.5–2.5 TeV. arXiv In this paper, we report the measurement relative to the production of forward neutrons in proton-proton collisions at $\mathrm{\sqrt{s} = 13~TeV}$ obtained using the LHCf Arm2 detector at the Large Hadron Collider. The results for the inclusive differential production cross section are presented as a function of energy in three different pseudorapidity regions: $\eta > 10.76$, $8.99 < \eta < 9.22$ and $8.81 < \eta < 8.99$. The analysis was performed using a data set acquired in June 2015 that corresponds to an integrated luminosity of $\mathrm{0.194~nb^{-1}}$. The measurements were compared with the predictions of several hadronic interaction models used to simulate air showers generated by Ultra High Energy Cosmic Rays. None of these generators showed good agreement with the data for all pseudorapidity intervals. For $\eta > 10.76$, no model is able to reproduce the observed peak structure at around $\mathrm{5~TeV}$ and all models underestimate the total production cross section: among them, QGSJET II-04 shows the smallest deficit with respect to data for the whole energy range. For $8.99 < \eta < 9.22$ and $8.81 < \eta < 8.99$, the models having the best overall agreement with data are SIBYLL 2.3 and EPOS-LHC, respectively: in particular, in both regions SIBYLL 2.3 is able to reproduce the observed peak structure at around $\mathrm{1.5-2.5~TeV}$. Preprint CC-BY-4.0 preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ CC-BY-4.0 Springer publication Preprint CERN 2018 Public comments CERN EDS For annual report SzGeCERN Particle Physics - Experiment arXiv hep-ex CERN forward physics CERN particle and resonance production CERN experimental results CERN Ultra High Energy Cosmic Rays CERN Hadronic interaction models CERN ARTICLE CERN LHC LHCf Berti, E. ORCID:0000-0002-5841-7760 INFN, Florence Florence U. INFN Section of Florence, Florence, Italy University of Florence, Florence, Italy Bonechi, L. INFN, Florence INFN Section of Florence, Florence, Italy Bongi, M. INFN, Florence Florence U. INFN Section of Florence, Florence, Italy University of Florence, Florence, Italy D'Alessandro, R. INFN, Florence Florence U. INFN Section of Florence, Florence, Italy University of Florence, Florence, Italy Detti, S. INFN, Florence INFN Section of Florence, Florence, Italy Haguenauer, M. Ec. Polytech., Palaiseau (main) Ecole-Polytechnique, Palaiseau, France Itow, Y. Nagoya U., ISEE KMI, Nagoya Institute for Space-Earth Environmental Research, Nagoya~University, Nagoya, Japan Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya~University, Nagoya, Japan Kasahara, K. Waseda U., RISE RISE, Waseda University, Shinjuku, Tokyo, Japan Makino, Y. Nagoya U., ISEE Chiba U. Institute for Space-Earth Environmental Research, Nagoya~University, Nagoya, Japan Department of Physics and Institute for Global Prominent Research - Chiba U. - Chiba - Japan Masuda, K. Nagoya U., ISEE Institute for Space-Earth Environmental Research, Nagoya~University, Nagoya, Japan Menjo, H. Nagoya U. Graduate School of Science, Nagoya~University, Nagoya, Japan Muraki, Y. Nagoya U., ISEE Institute for Space-Earth Environmental Research, Nagoya~University, Nagoya, Japan Ohashi, K. Nagoya U., ISEE Institute for Space-Earth Environmental Research, Nagoya~University, Nagoya, Japan Papini, P. INFN, Florence INFN Section of Florence, Florence, Italy Ricciarini, S. INFN, Florence IFAC, Florence INFN Section of Florence, Florence, Italy IFAC-CNR, Florence, Italy Sako, T. Tokyo U., ICRR Institute for Cosmic Ray Research, University of Tokyo, Chiba, Japan Sakurai, N. Tokushima U. Tokushima University, Tokushima, Japan Sato, K. Nagoya U., ISEE Institute for Space-Earth Environmental Research, Nagoya~University, Nagoya, Japan Shinoda, M. Nagoya U., ISEE Institute for Space-Earth Environmental Research, Nagoya~University, Nagoya, Japan Suzuki, T. Waseda U., RISE RISE, Waseda University, Shinjuku, Tokyo, Japan Tamura, T. Kanagawa U. Kanagawa University, Kanagawa, Japan Tiberio, A. INFN, Florence Florence U. INFN Section of Florence, Florence, Italy University of Florence, Florence, Italy Torii, S. Waseda U., RISE RISE, Waseda University, Shinjuku, Tokyo, Japan Tricomi, A. INFN, Catania Catania U. INFN Section of Catania, Italy University of Catania, Catania, Italy Turner, W.C. LBNL, Berkeley LBNL, Berkeley, California, USA Ueno, M. Nagoya U., ISEE Institute for Space-Earth Environmental Research, Nagoya~University, Nagoya, Japan Zhou, Q.D. Nagoya U., ISEE KEK, Tsukuba Institute for Space-Earth Environmental Research, Nagoya~University, Nagoya, Japan Institute of Particle and Nuclear Studies - High Energy Accelerator Research Organization (KEK) - Tsukuba - Japan PH LHCf Collaboration 073 JHEP 11 2018 https://rivet.hepforge.org/analyses/LHCF_2018_I1692008 Rivet analyses reference 1428122 20511742 http://cds.cern.ch/record/2636348/files/CERN-EP-2018-239.pdf 1429487 2115694 http://cds.cern.ch/record/2636348/files/1808.09877.pdf 1447275 23798707 http://cds.cern.ch/record/2636348/files/Arm2_neutrons_13TeV_fin.pdf 1429476 47725 http://cds.cern.ch/record/2636348/files/Unfoldedspectra_model_comp_final_1.png 00010 Unfolded differential neutron production cross section for p-p collisions at $\sqrt{s} = 13$~TeV, measured using the LHCf Arm2 detector. Black markers represent the experimental data with statistical errors, whereas gray bands represent the quadratic sum of statistical and systematic uncertainties. Colored histograms refer to models predictions at the generator level. The top plot shows the energy distributions expressed as $\mathrm{d\sigma_{n}/dE}$ and the bottom one the ratios of these distributions to the experimental data points. 1429477 51828 http://cds.cern.ch/record/2636348/files/Unfoldedspectra_model_comp_final_0.png 00006 Unfolded differential neutron production cross section for p-p collisions at $\sqrt{s} = 13$~TeV, measured using the LHCf Arm2 detector. Black markers represent the experimental data with statistical errors, whereas gray bands represent the quadratic sum of statistical and systematic uncertainties. Colored histograms refer to models predictions at the generator level. The top plot shows the energy distributions expressed as $\mathrm{d\sigma_{n}/dE}$ and the bottom one the ratios of these distributions to the experimental data points. 1429478 35116 http://cds.cern.ch/record/2636348/files/UnfoldedSystematicBefore.png 00005 Relative systematic uncertainties for the final unfolded distributions. From left to right, the three columns represent: the uncertainties already associated to the folded spectra, the uncertainties due to the unfolding procedure and the uncertainties related to hadron contamination corrections. Black markers show the statistical error present on the unfolded distribution. 1429479 49128 http://cds.cern.ch/record/2636348/files/Unfoldedspectra_model_comp_final_2.png 00009 Unfolded differential neutron production cross section for p-p collisions at $\sqrt{s} = 13$~TeV, measured using the LHCf Arm2 detector. Black markers represent the experimental data with statistical errors, whereas gray bands represent the quadratic sum of statistical and systematic uncertainties. Colored histograms refer to models predictions at the generator level. The top plot shows the energy distributions expressed as $\mathrm{d\sigma_{n}/dE}$ and the bottom one the ratios of these distributions to the experimental data points. 1429480 47737 http://cds.cern.ch/record/2636348/files/Recospectra_model_comp_final_2.png 00003 Folded differential neutron production cross section for p-p collisions at $\sqrt{s} = 13$~TeV, measured using the LHCf Arm2 detector. Black markers represent the experimental data with statistical errors, whereas gray bands represent the quadratic sum of statistical and systematic uncertainties. Colored histograms refer to models predictions at the detector level. The top plot shows the energy distributions expressed as $\mathrm{d\sigma_{n}/dE}$ and the bottom one the ratios of these distributions to the experimental data points. 1429481 45930 http://cds.cern.ch/record/2636348/files/Recospectra_model_comp_final_1.png 00012 Folded differential neutron production cross section for p-p collisions at $\sqrt{s} = 13$~TeV, measured using the LHCf Arm2 detector. Black markers represent the experimental data with statistical errors, whereas gray bands represent the quadratic sum of statistical and systematic uncertainties. Colored histograms refer to models predictions at the detector level. The top plot shows the energy distributions expressed as $\mathrm{d\sigma_{n}/dE}$ and the bottom one the ratios of these distributions to the experimental data points. 1429482 50516 http://cds.cern.ch/record/2636348/files/Recospectra_model_comp_final_0.png 00011 Folded differential neutron production cross section for p-p collisions at $\sqrt{s} = 13$~TeV, measured using the LHCf Arm2 detector. Black markers represent the experimental data with statistical errors, whereas gray bands represent the quadratic sum of statistical and systematic uncertainties. Colored histograms refer to models predictions at the detector level. The top plot shows the energy distributions expressed as $\mathrm{d\sigma_{n}/dE}$ and the bottom one the ratios of these distributions to the experimental data points. 1429483 40025 http://cds.cern.ch/record/2636348/files/isr_qgs.png 00000 Top figure shows the different priors used for iterative Bayesian unfolding and bottom figures show the unfolded results corresponding to these different priors: left is experimental measurements, right is QGSJET II-04 simulations. The unfolded results are shown both as absolute value (top) and as the ratio to the spectrum ontained using flat prior (bottom). The different priors are: flat (green), QGSJET II-04 (blue), EPOS-LHC (magenta), DPMJET 3.04 (red), ISR (cyan). The ISR prior was extrapolated applying the method described in reference \cite{ref:PHENIX} to the data relative to p-p collisions at $\sqrt{s} = 44.9$~GeV \cite{ref:ISR1, ref:ISR2}. Note that the ISR prior leads to an unfolded result that is very different from the one obtained with the other priors. 1429484 11128 http://cds.cern.ch/record/2636348/files/template_fit.png 00007 Template fit for the reconstructed energy bin $\mathrm{4000~GeV < E < 4250~GeV}$ of pseudorapidity region A. The binning of the $L_{2D}$ scale varies depending on the expected statistics for each energy bin. QGSJET II-04 hadrons (blue) and photons (red) distributions were fitted to experimental data (black). The result of the fit is shown in green. 1429485 38506 http://cds.cern.ch/record/2636348/files/isr_data.png 00017 Top figure shows the different priors used for iterative Bayesian unfolding and bottom figures show the unfolded results corresponding to these different priors: left is experimental measurements, right is QGSJET II-04 simulations. The unfolded results are shown both as absolute value (top) and as the ratio to the spectrum ontained using flat prior (bottom). The different priors are: flat (green), QGSJET II-04 (blue), EPOS-LHC (magenta), DPMJET 3.04 (red), ISR (cyan). The ISR prior was extrapolated applying the method described in reference \cite{ref:PHENIX} to the data relative to p-p collisions at $\sqrt{s} = 44.9$~GeV \cite{ref:ISR1, ref:ISR2}. Note that the ISR prior leads to an unfolded result that is very different from the one obtained with the other priors. 1429486 10980 http://cds.cern.ch/record/2636348/files/UnfoldedSystematicAfter.png 00015 Relative systematic uncertainties for the final unfolded distributions. From left to right, the three columns represent: the uncertainties already associated to the folded spectra, the uncertainties due to the unfolding procedure and the uncertainties related to hadron contamination corrections. Black markers show the statistical error present on the unfolded distribution. 1429488 38538 http://cds.cern.ch/record/2636348/files/RecoCorrection.png 00013 Relative correction factors before (left) and after (right) unfolding. In the two cases, black markers show the statistical error present on the folded and the unfolded distributions, respectively. The different colors represent the relative change of the histograms after each correction. 1429489 30623 http://cds.cern.ch/record/2636348/files/UnfoldedSystematicInside.png 00008 Relative systematic uncertainties for the final unfolded distributions. From left to right, the three columns represent: the uncertainties already associated to the folded spectra, the uncertainties due to the unfolding procedure and the uncertainties related to hadron contamination corrections. Black markers show the statistical error present on the unfolded distribution. 1429490 12317 http://cds.cern.ch/record/2636348/files/UnfoldedCorrection.png 00014 Relative correction factors before (left) and after (right) unfolding. In the two cases, black markers show the statistical error present on the folded and the unfolded distributions, respectively. The different colors represent the relative change of the histograms after each correction. 1429491 17742 http://cds.cern.ch/record/2636348/files/pseudorapidity_regions.png 00002 Definition of the three pseudorapidity regions A (blue), B (yellow) and C (red) on the Arm2 detector seen from IP1. The origin of the reference frame is centered on the projection of beam center on the detector during Fill 3855. The left and the right squares correspond to the small tower and the large tower, respectively. All analysis regions are chosen within a fiducial area (dashed line), which is 2~mm inside the edges of the towers (solid line). 1429492 23271 http://cds.cern.ch/record/2636348/files/SPS_large_tower.png 00016 Total energy deposit distributions relative to 350~GeV protons. Black points with error bars are experimental data with statistical uncertainty. Histograms refer to DPMJET 3.04 and QGSJET II-04 predictions at the detector level. Left is small tower, right is large tower. 1429493 23584 http://cds.cern.ch/record/2636348/files/isr_prior.png 00004 Top figure shows the different priors used for iterative Bayesian unfolding and bottom figures show the unfolded results corresponding to these different priors: left is experimental measurements, right is QGSJET II-04 simulations. The unfolded results are shown both as absolute value (top) and as the ratio to the spectrum ontained using flat prior (bottom). The different priors are: flat (green), QGSJET II-04 (blue), EPOS-LHC (magenta), DPMJET 3.04 (red), ISR (cyan). The ISR prior was extrapolated applying the method described in reference \cite{ref:PHENIX} to the data relative to p-p collisions at $\sqrt{s} = 44.9$~GeV \cite{ref:ISR1, ref:ISR2}. Note that the ISR prior leads to an unfolded result that is very different from the one obtained with the other priors. 1429494 23548 http://cds.cern.ch/record/2636348/files/SPS_small_tower.png 00001 Total energy deposit distributions relative to 350~GeV protons. Black points with error bars are experimental data with statistical uncertainty. Histograms refer to DPMJET 3.04 and QGSJET II-04 predictions at the detector level. Left is small tower, right is large tower. 1447275 4500996 http://cds.cern.ch/record/2636348/files/Arm2_neutrons_13TeV_fin.pdf?subformat=pdfa pdfa 1448022 1700879 http://cds.cern.ch/record/2636348/files/scoap3-fulltext.pdf Article from SCOAP3 2333395 1700879 http://cds.cern.ch/record/2636348/files/scoap.pdf Article from SCOAP3 1427939 20511742 http://cds.cern.ch/record/2636348/files/CERN-EP-DRAFT-LHCf-2018-001 - draft.pdf Draft (restricted) Stamped by WebSubmit: 28/08/2018 takashi.sako@cern.ch Approval requested for number CERN-EP-2018-239 CERN-EP-2018-239 EPPHAPP 2018-08-28 11:01:05 2018-09-04 11:01:05 takashi.sako@cern.ch waiting Document approved CERN-EP-2018-239 EPPHAPP 2018-08-28 17:47:19 roger.forty@cern.ch approved n 201835 13 LHCf_Papers ARTICLE 2636143 20250120183256.0 oai:cds.cern.ch:2636143 cerncds:FULLTEXT CERN-STUDENTS-Note-2018-078 eng Guzzo, Marina AUTHOR|(CDS)2316872 AUTHOR|(SzGeCERN)830336 marina.guzzo@cern.ch Resistive Plate Chamber HV Control System for the MATHUSLA experiment 2018 CERN Geneva 27 Aug 2018 MATHUSLA is a proposed dedicated large-volume displaced vertex detector on the surface for the High Luminosity Large Hadron Collider (HL-LHC) to study Ultra Long-Lived Particles (ULLP) produced at LHC. This project involves the development of a system to control the high voltage applied to the Resistive Plate Chamber according to the environmental conditions. CERN EDS SzGeCERN Physics in General CERN INTNOTE PUBL CERN. Geneva. Department http://cds.cern.ch/record/2636143/files/FinalReport-MarinaReggianiGuzzo.pdf Access to fulltext eszter.badinova@cern.ch n 201835 12 PUBLIC https://repository.cern/legacy/record/2636143 INTNOTEPUBL NOTE MIGRATED 2635999 SzGeCERN 20210421204326.0 9781119456117 print version, hardback 9781119456131 electronic version electronic version oai:cds.cern.ch:2635999 cerncds:BOOK eng Lundgren, Regina E Risk communication a handbook for communicating environmental, safety, and health risks 6th ed. Piscataway, NJ Wiley-IEEE Press 2018 517 p ebook IEEE201808 SzGeCERN Commerce, Economics, Social Science BOOK McMakin, Andrea H 4th ed. 2009 1188690 edition https://ezproxy.cern.ch/login?url=https://ieeexplore.ieee.org/servlet/opac?bknumber=8434159 ebook 201808 IEEE h 201834 21 https://catalogue.library.cern/legacy/2635999 BOOK MIGRATED 2635798 SzGeCERN 20210421204329.0 9780128114599 electronic version electronic version 9780128114599 print version 9780128115374 electronic version electronic version oai:cds.cern.ch:2635798 cerncds:BOOK EBL 5471200 eng 621.312429 Hacker, Viktor Fuel cells and hydrogen from fundamentals to applied research Saint Louis, MO Elsevier 2018 298 p ebook Front Cover -- Fuel Cells and Hydrogen: From Fundamentals to Applied Research -- Copyright -- Contents -- Contributors -- Preface -- Nomenclature -- Chapter 1: Introduction -- 1.1. Electrochemical Systems and Fuel Cells -- 1.2. Types of Fuel Cells and their Applications -- 1.3. Thermodynamics -- 1.3.1. Energy Conversion Efficiency of Fuel Cells -- 1.3.2. Electrochemical and Thermal Energy Conversion Efficiency -- 1.3.3. Ideal Reversible Fuel Cell Efficiencies -- 1.4. Recapitulation -- 1.5. Comprehension Questions and Exercises -- References -- Chapter 2: Irreversible Losses in Fuel Cells -- 2.1. Introduction -- 2.1.1. Definition of Losses -- 2.1.2. Modeling Approach -- 2.2. Loss Mechanism -- 2.2.1. Losses at Open Circuit Conditions -- 2.2.2. Gas Solubility in Thin Liquid Films -- 2.2.3. Losses at Small Current -- 2.2.3.1. Butler-Volmer equation -- 2.2.3.2. Approximation for low overpotential: Charge transfer resistance -- 2.2.3.3. Approximation for high overpotential: Tafel equation -- 2.2.3.4. Fuel cells and stack modeling -- 2.2.3.5. Difference of using the Bulter-Volmer or Tafel equation for the polarization curve -- 2.2.4. Ohmic Resistance -- 2.2.5. Losses at High Current: Transport Limitation -- 2.2.5.1. Thickness of the diffusion barrier -- 2.2.5.2. Application to the polarization curve -- 2.3. Obtaining Model Parameters from Single Cell Experiments -- 2.3.1. Fitting Procedure -- 2.3.2. Interdependence of Model Parameters -- 2.4. Obtaining Model Parameters from Half Cell Experiments -- 2.5. Recapitulation -- 2.6. Comprehension Questions and Exercises -- References -- Chapter 3: Modeling of Polymer Electrolyte Fuel Cells -- 3.1. Basic Principle of Fuel Cell Modeling -- 3.2. Application of the CFD Simulation in PEFC -- 3.3. Simplified Approach to Predict PEFC Performance -- 3.3.1. Generated Water. 3.3.2. Gas Diffusion in GDL Base Material and Micro Porous Layer -- 3.3.3. Water Diffusion Through the Membrane -- 3.3.4. Electroosmosis Through the Membrane -- 3.3.5. Practical Examples -- 3.3.6. Dry Oxygen Supply -- 3.3.7. Humidified Air Supply -- 3.4. Membrane Transport Model -- 3.4.1. Governing Equations -- 3.4.2. Experimental Validation of the Model -- 3.4.3. Role of Water Diffusion and Electroosmosis in the Water Management -- 3.5. Modeling Degradation in PEFCs -- 3.6. Recapitulation -- 3.7. Comprehensive Questions and Exercises -- References -- Chapter 4: Polymer Electrolyte Fuel Cells -- 4.1. Introduction -- 4.2. Components of H2/O2 PEFC Electrode Materials -- 4.3. Basic Features of Electrode Materials -- 4.4. Methods for Fabricating Electrocatalyst (Anode or Cathode) Materials -- 4.4.1. Polyol Method -- 4.4.2. Water-in-Oil Microemulsion Method -- 4.4.3. Impregnation-Reduction Process -- 4.4.4. Bromide Anion Exchange Method -- 4.4.5. Electrocatalysts Synthesized by the Instant Method -- 4.5. Polymer Electrolyte Materials -- 4.5.1. Membrane Properties -- 4.5.2. Conducting Channels and Proton Transport -- 4.5.3. Water Transport and Conductivity -- 4.6. Bipolar Plates -- 4.7. Recapitulation -- 4.8. Comprehensive Questions and Exercises -- References -- Chapter 5: Other Polymer Electrolyte Fuel Cells -- 5.1. High-Temperature Polymer Electrolyte Fuel Cells -- 5.1.1. Introduction -- 5.1.2. Electrolytes -- 5.1.3. Electrodes -- 5.2. Alkaline Fuel Cell -- 5.2.1. Introduction -- 5.2.2. Electrolytes -- 5.2.3. Electrodes -- 5.3. Direct Fuel Cells -- 5.3.1. Direct Alcohol Fuel Cells -- 5.3.1.1. Direct methanol fuel cell -- 5.3.1.2. Direct ethanol fuel cell -- 5.3.1.3. Other direct alcohol fuel cells -- 5.3.2. Direct Borohydride Fuel Cells -- 5.3.3. Direct Hydrazine Fuel Cells -- 5.4. Recapitulation -- 5.5. Comprehension Questions and Exercises. References -- Chapter 6: Preparation of MEA -- 6.1. Introduction -- 6.2. The MEA and the Test-Holder -- 6.3. Electrolyte Membrane -- 6.4. Catalyst Layer -- 6.5. Ink Deposition Methods -- 6.6. Gas Diffusion Layer -- 6.7. MEA Assembling -- 6.8. Recapitulation -- 6.9. Comprehension Questions and Exercises -- References -- Further Reading -- Chapter 7: Degradation Mechanisms and Their Lifetime -- 7.1. Introduction -- 7.2. Polymer Membrane Lifetime -- 7.2.1. Chemical Degradation -- 7.2.2. Mechanical Degradation -- 7.3. Carbon Corrosion -- 7.4. Catalyst -- 7.5. Impurities -- 7.5.1. Anode Gas Stream -- 7.5.1.1. Carbon monoxide (CO) -- 7.5.1.2. Carbon dioxide (CO2) -- 7.5.1.3. Hydrogen sulfide (H2S) -- 7.5.1.4. Ammonia (NH3) -- 7.5.2. Cathode Gas Stream -- 7.5.2.1. Nitrogen oxides (NOX) -- 7.5.2.2. Sulfur oxides (SOX) -- 7.5.2.3. Carbon oxides (COX) -- 7.5.3. Contaminations of Components -- 7.6. Costs Versus Lifetime -- 7.7. Recapitulation -- 7.8. Comprehensive Questions and Exercises -- References -- Chapter 8: Characterization Methods for Components and Materials -- 8.1. X-Ray Photoelectron Spectroscopy -- 8.1.1. Principle -- 8.1.2. Instrumentation -- 8.1.2.1. X-ray source -- 8.1.2.2. Electron transfer lens -- 8.1.2.3. Electron energy analyzer -- 8.1.2.4. Detection systems -- 8.1.3. Chemical Shift -- 8.1.4. Spectrum Shape -- 8.1.4.1. Spin-orbit coupling -- 8.1.4.2. Shake-up satellites -- 8.1.4.3. Multiplet splitting -- 8.1.5. Quantification -- 8.1.6. Practical Features -- 8.1.6.1. Pass energy -- 8.1.6.2. Charging Effect -- 8.1.6.3. Binding energy scale reference -- 8.1.6.4. Sample preparation -- 8.2. Electron Microscopy Techniques -- 8.2.1. Scanning Electron Microscope -- 8.2.1.1. Secondary electrons -- 8.2.1.2. Backscattered electrons -- 8.2.1.3. X-rays (or X-photons) -- 8.2.2. Transmission Electron Microscope -- 8.2.3. Image Formation. 8.2.4. Specimen Interactions and Utilization -- 8.2.4.1. Unscattered electrons -- 8.2.4.2. Elasticity scattered electrons -- 8.2.4.3. Inelastically scattered electrons -- 8.2.5. Electron Energy Loss Spectroscopy -- 8.2.6. Atomic Force Microscopy -- 8.3. Raman and Infrared Spectroscopy -- 8.4. Recapitulation -- 8.5. Comprehensive Exercises -- References -- Chapter 9: Electrochemical Measurement Methods and Characterization on the Cell Level -- 9.1. Introduction -- 9.2. Electrochemical Systems -- 9.2.1. From the Two-Electrode to the Three-Electrode System -- 9.2.2. Examples of Three-Electrode Glass Cells -- 9.3. The Reference Electrode as a Cornerstone for Electrochemical Measurements -- 9.4. Method for Cleaning Glassware for Electrochemical Measurements -- 9.5. Cyclic Voltammetry -- 9.6. Chronoamperometry and Chronopotentiometry -- 9.7. Kinetics of Reactions: ORR -- 9.7.1. General Considerations of the ORR Polarization Curve -- 9.7.2. Determination of the Electrochemically Active Surface Area -- 9.7.3. RRDE Experimental Setup: Determination of the Collection Efficiency N -- 9.7.4. Diffusion-Limited Region: The Use of Levich's Law -- 9.7.5. Kinetic Region: From the Koutecky-Levich Equation to Fundamental Data -- 9.7.6. From the Koutecky-Levich Plots to the Kinetic Current -- 9.7.7. From the Kinetic Current Densities to the Limiting Current Density -- 9.7.8. Determination of the Exchange Current Density and the Tafel Slope -- 9.7.9. From Water Formation Efficiency to the Number of Exchange Electrons -- 9.7.10. Tips for a Proper Report of ORR Results -- 9.8. Electrochemical Impedance Spectroscopy (EIS) -- 9.8.1. Graphical Representation of Impedance Spectra -- 9.8.2. Equivalent Circuits -- 9.8.3. Measurement Techniques -- 9.9. Total Harmonic Distortion (THD) -- 9.10. Recapitulation -- 9.11. Comprehension Questions and Exercises -- References. Chapter 10: Hydrogen Production -- 10.1. Introduction -- 10.2. Carbon-Based Hydrogen Production Technologies -- 10.2.1. Steam Reforming -- 10.2.2. Partial Oxidation -- 10.2.3. Autothermal Reforming -- 10.2.4. Gasification -- 10.3. Hydrogen Upgrading and Separation Technologies -- 10.3.1. Water-Gas Shift -- 10.3.2. Adsorption -- 10.3.3. Absorption -- 10.3.4. Sorption-Enhanced Hydrogen Production -- 10.3.5. Chemical Looping (CL) -- 10.3.6. Chemical Looping Hydrogen (CLH) -- 10.3.7. Membrane Reactors -- 10.4. Electrolysis for Hydrogen Production -- 10.4.1. Introduction and Fundamentals -- 10.4.2. Alkaline Water Electrolysis (AEL) -- 10.4.3. PEM Water Electrolysis (PEMEL) -- 10.4.4. High-Temperature Solid-Oxide Water Electrolysis -- 10.4.5. Application and Integration of Electrolysis -- 10.4.6. Summary -- 10.5. Recapitulation -- 10.6. Comprehension Questions and Exercises -- References -- Chapter 11: Role of Hydrogen Energy Carriers -- 11.1. Introduction -- 11.2. Properties of Hydrogen and Hydrides -- 11.3. Hydrogen Storage -- 11.3.1. Ammonia NH3 -- 11.3.2. Toluene-Methylcyclohexane -- 11.3.3. Borohydride-Based Systems -- 11.3.4. Metals as Chemical Energy Carriers -- 11.4. Hydrogen Transportation -- 11.5. Role of Hydrogen Energy Carriers in Renewable Energy-Based Systems -- 11.6. Recapitulation -- 11.7. Comprehension Questions and Exercises -- References -- Chapter 12: Environmental Impact Factors Associated with Hydrogen Energy -- 12.1. Introduction -- 12.2. Relation of Self-Regulating Systems and Materials Circulation -- 12.3. Environmental Impact Factor -- 12.4. Local EIF of Hydrogen and Carbon in Japan -- 12.5. Future Trends -- 12.6. Recapitulation -- 12.7. Comprehension Questions and Exercises -- References -- Back Cover. EBL201808 SzGeCERN Engineering BOOK Mitsushima, Shigenori https://cds.cern.ch/auth.py?r=EBLIB_P_5471200 ebook 201808 n 201834 21 PUBLIC https://catalogue.library.cern/legacy/2635798 BOOK MIGRATED 2635795 SzGeCERN 20210421204329.0 9781351659833 electronic version electronic version 9781771886215 electronic version electronic version 9781771886215 print version oai:cds.cern.ch:2635795 cerncds:BOOK EBL 5454628 eng 541 Haghi, A K Methodologies and applications for analytical and physical chemistry Milton Apple Academic Press 2018 398 p ebook Innovations in physical chemistry Cover -- Half Title -- Title Page -- ABOUT THE EDITORS -- INNOVATIONS IN PHYSICAL CHEMISTRY: MONOGRAPH SERIES -- Table of Contents -- List of Contributors -- List of Abbreviations -- Preface -- PART I: Nanoscience -- 1: Nanoscience: From a Two-Dimensional to a Three-Dimensional Periodic Table of the Elements -- 2: Nanominiaturization, Classical/Quantum Computers/Simulators, Superconductivity, and Universe -- 3: Computational Investigation of Au-Doped Ag Nanoalloy Clusters: A DFT Study -- 4: Improved Performance of Proton-Exchange Membrane Fuel Cells (PEMFCs) Using Multiwalled Carbon Nanotubes (MWCNTs) as the Catalyst Support -- 5: Green Synthesis and Characterization of Silver Nanoparticles -- PART II: Environmental Chemistry and Process -- 6: Environmental Chemistry, Industrial Wastewater Treatment, and Environmental Sustainability: A Vision for the Future -- 7: Heavy Metal and Arsenic Remediation Technologies for Contaminated Groundwater: A Scientific Perspective and a Vision for the Future -- 8: Influence of Soil Washing on Iron Mobilization and Other Metals/ Metalloids and Their Impacts on Biodegradability Enhancement During an Aqueous Advanced Electrochemical Treatment -- PART III: Physical Chemistry from Different Angles -- 9: An Experimental Study on Drilling of Glass-Fabric-Reinforced Epoxy Composites Filled with Microfillers -- 10: Luminescence Properties of Eu3+-Activated BiYInNbO7 as a Potential Phosphor for WLEDs -- 11: THz Generation, Detection by Nonlinear Crystals and Photoconductive Antennas for the Designing of Spectrophotometer and Its Application in Explosive Detection -- 12: Water Vapor Permeability, Mechanical, Optical, and Sensorial Properties of Plasticized Guar Gum Edible Films -- 13: Photoelectrocatalytic Degradation of Methylene Blue and Inactivation of Escherichia coli by Spray-Deposited Au:ZnO Thin Films. 14: Flame Spraying of Polymers: Distinctive Features of the Equipment and Coating Applications -- 15: Influence of V Doping on Physicochemical Properties of Mesoporous Titania with Potential Application in Solar Photocatalysis -- PART IV: Special Topics -- 16: Research of Hydrodynamic Parameters of a Turbulent Flow in the Inertia Apparatuses with Active Hydrodynamics -- 17: Probing Terpenoids: TMAP and TMPMP from Acorus Calamus for Its Possible Antifungal Mechanism -- 18: Support Vector Machine as a Classifier for Feature Based Classification: A Technical Note -- 19: Optimization of Cost Equity of a Hybrid Renewable Energy System -- Index. EBL201808 SzGeCERN Chemical Physics and Chemistry BOOK Thomas, Sabu Palit, Sukanchan Main, Priyanka https://cds.cern.ch/auth.py?r=EBLIB_P_5454628 ebook 201808 n 201834 21 PUBLIC https://catalogue.library.cern/legacy/2635795 BOOK MIGRATED 2635786 SzGeCERN 20210421204331.0 9780128130988 electronic version electronic version 9780128130988 print version 9780128130995 electronic version electronic version oai:cds.cern.ch:2635786 cerncds:BOOK EBL 5448164 eng 610.28 Elahi, Bijan Safety risk management for medical devices San Diego, CA Elsevier Science and Technology 2018 426 p ebook Front Cover -- Safety Risk Management for Medical Devices -- Copyright Page -- Dedication -- Contents -- List of Figures -- List of Tables -- Biography -- Preface -- 1 Introduction -- 2 Why Do Risk Management? -- 2.1 Legal and Regulatory Requirements -- 2.1.1 United States -- 2.1.2 European Union -- 2.1.3 MDD/AIMDD and transition to EU MDR -- 2.2 Business Reasons -- 2.2.1 Cost efficiency -- 2.2.2 Avoiding recalls and field corrective actions -- 2.2.3 Better communications -- 2.3 Moral and Ethical Reasons -- 3 The Basics -- 3.1 Vocabulary of Risk Management -- 3.1.1 Further elaborations -- 3.1.1.1 Reasonably foreseeable misuse -- 3.2 Hazard Theory -- 3.3 System Types -- 4 Understanding Risk -- 4.1 Risk Definitions -- 4.2 Types of Risk -- 4.3 Contributors to Risk -- 4.4 Risk Perception -- 4.5 Risk Computation -- 5 Risk Management Standards -- 5.1 ISO 14971 History and Origins -- 5.2 Harmonized Standards -- 6 Requirements of the Risk Management Process -- 6.1 Risk Management Process -- 6.1.1 Risk analysis -- 6.1.1.1 Hazard identification -- 6.1.1.2 Risk estimation -- 6.1.2 Risk evaluation -- 6.1.3 Risk controls -- 6.1.4 Risk control verification -- 6.1.5 Monitoring -- 7 Quality Management System -- 8 Usability Engineering and Risk Analysis -- 8.1 Key Terms -- 8.2 Distinctions -- 8.3 User-Device Interaction Model -- 8.4 Use Failures -- 8.5 Environmental Factors -- 8.6 Design Means to Control Usability Risks -- 8.7 Task Analysis -- 8.8 Usability and Risk -- 8.8.1 Data gathering -- 8.8.2 Risk reduction and compliance with IEC 62366 process -- 9 Biocompatibility and Risk Management -- 10 The BXM Method -- 10.1 System Decomposition -- 10.2 Integration -- 10.3 Quantitative Risk Estimation -- 11 Risk Management Process -- 11.1 Management Responsibilities -- 11.2 Risk Management File -- 11.3 Risk Management Plan -- 11.3.1 Criteria for risk acceptability. 11.3.2 Other considerations for risk reduction end-point -- 11.4 Hazard Identification -- 11.5 Clinical Hazards List -- 11.6 Harms Assessment List -- 11.6.1 How to create a Harms Assessment List -- 11.6.1.1 Method 1-Using published data -- 11.6.1.2 Method 2-Using expert opinion -- 12 Risk Analysis Techniques -- 12.1 Fault Tree Analysis -- 12.1.1 Introduction -- 12.1.2 Theory -- 12.1.2.1 Primary, secondary, and command Faults -- 12.1.2.2 Immediate, necessary, and sufficient -- 12.1.2.3 State of Component-State of System -- 12.1.2.4 Common Cause Failures -- 12.1.3 Symbols -- 12.1.4 Methodology -- 12.1.5 Ground rules -- 12.1.5.1 Write faults as faults -- 12.1.5.2 No gate-to-gate connections -- 12.1.5.3 Mark low-likelihood faults as Basic Events -- 12.1.5.4 Don't model passive components -- 12.1.5.5 Be judicious in modeling secondary faults -- 12.2 Mind Map Analysis -- 12.2.1 Introduction -- 12.2.2 Theory -- 12.2.3 Methodology -- 12.3 Preliminary Hazard Analysis -- 12.3.1 Introduction -- 12.3.2 Methodology -- 12.3.2.1 Safety characteristics -- 12.3.2.2 Identify System Hazards -- 12.4 Failure Modes and Effects Analysis -- 12.4.1 Facilitation of FMEAs -- 12.4.2 Hierarchical multilevel FMEA -- 12.4.3 Failure theory -- 12.4.4 Ground rules -- 12.4.5 On merits of RPN for criticality ranking -- 12.4.6 Benefits of FMEA -- 12.4.7 FMEA weaknesses -- 12.4.8 Ownership of FMEA -- 12.4.9 Making your way through the FMEA -- 12.5 FMEA in the Context of Risk Management -- 12.6 Design Failure Modes and Effects Analysis -- 12.6.1 DFMEA workflow -- 12.6.1.1 Set scope -- 12.6.1.2 Identify primary and secondary functions -- 12.6.1.3 Analyze -- 12.7 Process Failure Modes and Effects Analysis -- 12.7.1 PFMEA workflow -- 12.7.1.1 Set scope -- 12.7.1.2 Identify primary and secondary functions -- 12.7.1.3 Process Flow Diagram -- 12.7.1.4 Analyze. 12.8 Use/Misuse Failure Modes and Effects Analysis -- 12.8.1 Distinctions -- 12.8.2 Use Specification Versus Intended Use -- 12.8.3 UMFMEA Workflow -- 12.8.3.1 Set scope -- 12.8.3.2 Identify primary and secondary functions -- 12.8.3.3 Analyze -- 12.9 P-Diagram -- 12.9.1 Input Signals -- 12.9.2 System -- 12.9.3 Control Factors -- 12.9.4 Noise Factors -- 12.9.5 Ideal Function -- 12.9.6 Error States -- 12.9.7 Workflow -- 12.10 Comparison of FTA, FMEA -- 13 Safety Versus Reliability -- 14 Influence of Security on Safety -- 15 Software Risk Management -- 15.1 Software Risk Analysis -- 15.2 Software Failure Modes and Effects Analysis (SFMEA) -- 15.2.1 Software Failure Modes and Effects Analysis Workflow -- 15.3 Software Safety Classification -- 15.4 The BXM Method for Software Risk Analysis -- 15.4.1 Case 1-Legacy software -- 15.4.2 Case 2-New software -- 15.5 Risk Management File Additions -- 15.6 Risk Controls -- 15.7 Legacy Software -- 15.8 Software of Unknown Provenance -- 15.9 Software Maintenance and Risk Management -- 15.10 Software Reliability Versus Software Safety -- 15.11 Tips for developing safety-critical software -- 16 Integration of Risk Analysis -- 16.1 Hierarchical Multilevel Failure Modes and Effects Analysis -- 16.2 Integration of Supplier Input Into Risk Management -- 17 Risk Estimation -- 17.1 Qualitative Method -- 17.2 Semiquantitative Method -- 17.3 Quantitative Method -- 17.4 Pre-/Post-risk -- 18 Risk Controls -- 18.1 Single-Fault-Safe Design -- 18.2 Risk Control Option Analysis -- 18.3 Distinctions of Risk Control Options -- 18.4 Information for Safety as a Risk Control Measure -- 18.4.1 Criteria for information for safety -- 18.5 Sample Risk Controls -- 18.6 Risk Controls and Safety Requirements -- 18.7 Completeness of Risk Controls -- 19 Risk Evaluation -- 19.1 Application of Risk Acceptance Criteria. 19.2 Risk Evaluation for Qualitative Method -- 19.3 Risk Evaluation for Semiquantitative Method -- 19.4 Risk Evaluation for Quantitative Method -- 20 Risk Assessment and Control Table -- 20.1 Risk Assessment and Control Table Workflow -- 20.1.1 Examine the Clinical Hazards List -- 20.1.2 Capture End-Effects with Safety Impact -- 20.1.3 Populate the Initial Cause and Sequence of Events columns -- 20.1.4 Populate Hazardous Situations column -- 20.1.5 Revisit the Preliminary Hazard Analysis -- 20.1.6 Populate the P1 column -- 20.1.7 Populate the Risk Controls columns -- 20.1.8 Populate the Harm column -- 20.1.9 Populate the P2 columns -- 20.1.10 Compute risks -- 20.1.11 Risk evaluation -- 20.2 Individual and Overall Residual Risks -- 21 On Testing -- 21.1 Types of Testing -- 21.2 Risk-Based Sample Size Selection -- 21.3 Attribute Testing -- 21.4 Variable Testing -- 22 Verification of Risk Controls -- 22.1 Verification of Implementation -- 22.2 Verification of Effectiveness -- 23 Benefit-Risk Analysis -- 23.1 Benefit-Risk Analysis in Clinical Evaluations -- 24 Production and Postproduction Monitoring -- 24.1 Postmarket Risk Management -- 24.2 Frequency of Risk Management File Review -- 24.3 Feedback to Preproduction Risk Management -- 24.4 Benefits of Postmarket Surveillance -- 25 Traceability -- 26 Risk Management for Clinical Investigations -- 26.1 Terminology -- 26.2 Clinical Studies -- 26.3 Mapping of Risk Management Terminologies -- 26.4 Risk Management Requirements -- 26.5 Risk Documentation Requirements -- 27 Risk Management for Legacy Devices -- 28 Basic Safety and Essential Performance -- 28.1 How to Identify Basic Safety -- 28.2 How to Identify Essential Performance -- 29 Relationship Between ISO 14971 and Other Standards -- 29.1 Interaction With IEC 60601-1 -- 29.2 Interaction With ISO 10993-1 -- 29.3 Interaction With IEC 62366. 29.4 Interaction With ISO 14155 -- 30 Risk Management Process Metrics -- 30.1 Comparison With Historical Projects -- 30.2 Issue Detection History -- 30.3 Subjective Evaluation -- 31 Risk Management and Product Development Process -- 31.1 Identification of Essential Design Outputs -- 31.2 Lifecycle Relevance of Risk Management -- 32 Axioms -- 33 Special Topics -- 33.1 The Conundrum -- 33.2 Cassandras -- 33.3 Personal Liability -- 33.4 Risk Management for Combination Medical Devices -- 34 Critical Thinking and Risk Management -- 35 Advice and Wisdom -- Appendix A: Glossary -- Appendix B: Templates -- B.1 Design Failure Modes and Effects Analysis Template -- B.2 Software Failure Modes and Effects Analysis Template -- B.3 Process Failure Modes and Effects Analysis Template -- B.4 Use-Misuse Failure Modes and Effects Analysis Template -- B.5 Risk Assessment and Control Table Template -- Appendix C: Example Device-Vivio -- C.1 Vivio Product Description -- C.2 Vivio Product Requirements -- C.3 Vivio Architecture -- C.4 Risk Management Plan -- C.5 Clinical Hazards List -- C.6 Harms Assessment List -- C.7 Preliminary Hazard Analysis -- C.8 Design Failure Modes and Effects Analysis -- C.9 Process Failure Modes and Effect Analysis -- C.10 Use/Misuse Failure Modes and Effects Analysis -- C.11 Risk Assessment and Controls Table -- C.12 Hazard Analysis Report -- C.13 Risk Management Report -- Appendix D: NBRG Consensus Paper -- References -- Index -- Back Cover. EBL201808 SzGeCERN Mathematical Physics and Mathematics BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5448164 ebook 201808 n 201834 21 PUBLIC https://catalogue.library.cern/legacy/2635786 BOOK MIGRATED 2635567 SzGeCERN 20210421204331.0 9780128099353 electronic version electronic version 9780128099353 print version 9780128099360 electronic version electronic version oai:cds.cern.ch:2635567 cerncds:BOOK EBL 5439783 eng 523.43 Cabrol, Nathalie A From habitability to life on Mars Saint Louis, MO Elsevier 2018 392 p ebook Front Cover -- From Habitability to Life on Mars -- Copyright -- Contents -- List of Contributors -- Foreword -- Color Plate 1 -- Color Plate 2 -- Chapter 1: Habitability as a Tool in Astrobiological Exploration -- 1.1. Overview -- 1.2. Introduction -- 1.3. Defining Habitability -- 1.3.1. Follow the Water -- 1.3.2. Follow the Bioessential Elements -- 1.3.3. Follow the Energy Sources -- 1.4. Exploring the Extremes of Life -- 1.5. Niche-Based Multivariate Approach to Habitability -- 1.6. Conclusions -- References -- Further Reading -- Chapter 2: An Origin of Life on Mars? -- 2.1. Overview -- 2.2. Introduction -- 2.3. Liquid Water -- 2.4. Carbon Chemistry -- 2.5. Water on Mars -- 2.6. The Timing of Aquatic Habitats -- 2.7. Possible Sources of Organic Molecules on Mars -- 2.8. Where are the Martian Organic Molecules? -- 2.9. Several Possible Ways to Start Life on Mars -- 2.10. The Odds for an Origin of Life -- 2.11. Conclusion -- References -- Chapter 3: Remote Detection of Phyllosilicates on Mars and Implications for Climate and Habitability -- 3.1. Overview -- 3.2. Presence of Phyllosilicates and Poorly Crystalline Aluminosilicates on Mars -- 3.3. Remote Detection of Phyllosilicates and Related Materials at Mars -- 3.3.1. Detection of Phyllosilicates and SRO Materials on Mars Using VNIR Spectra -- 3.3.2. Detection of Phyllosilicates and SRO Materials on Mars in TIR Spectra -- 3.3.2.1. Si-O Stretching Vibrations -- 3.3.2.2. Si-O Bending Vibrations -- 3.3.3. Detection of Phyllosilicates and SRO Materials on Mars by Rovers -- 3.3.4. Detection of Phyllosilicates and SRO Materials in Martian Meteorites -- 3.4. Characterization of Phyllosilicates and SRO Materials on Mars -- 3.4.1. Global Observations of Phyllosilicates, SRO Phases and Aqueous Alteration on Mars -- 3.4.2. Regional Characterization of Phyllosilicates and Aqueous Alteration on Mars. 3.4.2.1. The Phyllosilicate-Rich Mawrth Vallis Region in Eastern Chryse Planitia -- 3.4.2.2. The Clay-Bearing Region West and South of Isidis Planitia -- 3.5. Discussion of Phyllosilicates and Climate on Mars -- 3.6. Discussion of Phyllosilicates and Habitability on Mars -- 3.7. Summary of Phyllosilicates and SRO Materials on Mars -- Acknowledgments -- References -- Chapter 4: Martian Habitability as Inferred From Landed Mission Observations -- 4.1. Introduction -- 4.2. Summary of Landed Missions -- 4.3. Needs and Challenges for Habitability and Life -- 4.4. Indicators of Habitability From Landed Missions -- 4.4.1. Phoenix: Northern Latitude Soils and Water Ice -- 4.4.1.1. Overview -- 4.4.1.2. Perchlorates and Other Salts -- 4.4.1.3. Low Water Activity Environment -- 4.4.2. Curiosity: Fluvial-Deltaic-Lacustrine Deposits in Gale Crater -- 4.4.2.1. Overview -- 4.4.2.2. Prolonged Surface Water -- 4.4.2.3. Varying Redox Conditions -- 4.4.2.4. Organic Carbon in Mudstones -- 4.4.2.5. Detection of Nitrate -- 4.4.2.6. Alteration by Ground Water -- 4.4.2.7. Evolution of Water Availability -- 4.4.3. Opportunity: Burns Formation Sandstones -- 4.4.3.1. Overview -- 4.4.3.2. From Playa Muds to Sandstones -- 4.4.3.3. Acidic Conditions -- 4.4.4. Spirit: Aqueous Activity in the Columbia Hills -- 4.4.4.1. Overview -- 4.4.4.2. Sulfate-Rich Sands -- 4.4.4.3. Silica-Rich Deposits -- 4.4.5. Opportunity: Fracture-Related Aqueous Processes on Endeavour Crater's Rim -- 4.4.5.1. Overview -- 4.4.5.2. Matijevic Formation and the Espérance Fracture -- 4.4.5.3. Sulfates and Manganese Oxides on the Island Rocks -- 4.4.5.4. Smectites, Hematite, and Sulfates in Marathon Valley -- 4.5. Outlook for Habitability and Life on Mars -- 4.5.1. Overview -- 4.5.2. Sustained Water -- 4.5.3. Chemical Energy -- 4.5.4. Essential Elements -- 4.5.5. Favorable Environmental Conditions. 4.5.6. Hazards to Habitability -- 4.5.7. Overall Assessment -- References -- Further Reading -- Chapter 5: Archean Lakes as Analogues for Habitable Martian Paleoenvironments -- 5.1. Introduction -- 5.2. Archean Lakes -- 5.3. Fortescue Group Regional Geologic Setting -- 5.4. Sedimentary Environments -- 5.4.1. Fluvial Facies -- 5.4.2. Near Shore Lake Facies -- 5.4.2.1. Desiccation Cracks -- 5.4.2.2. Tepee Structures -- 5.4.2.3. Symmetrical Ripple Cross-Stratification -- 5.4.2.4. Edgewise Conglomerate and Stone Rosettes -- 5.4.2.5. Fenestrae -- 5.4.2.6. Ooids -- 5.4.2.7. Near-shore Stromatolites -- 5.4.3. Shallow Water Lake Facies -- 5.4.3.1. Soft Sediment Deformation -- 5.4.3.2. Event Beds -- 5.4.3.3. Shallow Water Stromatolites -- 5.4.4. Deep Water Lake Facies -- 5.5. Biosignature Preservation -- 5.5.1. Microbialites -- 5.5.2. Microfossils -- 5.5.3. Chemical and Isotopic Biosignatures -- 5.5.4. Biosignatures That Are Notably Absent -- 5.6. Lessons for Martian Paleolake Exploration -- References -- Further Reading -- Chapter 6: Evolution of Altiplanic Lakes at the Pleistocene/Holocene Transition: A Window Into Early Mars Declining Habit ... -- 6.1. Overview -- 6.2. Introduction -- 6.3. Environmental Setting -- 6.4. Volcanic/Hydrothermal Activity -- 6.5. Stratigraphic Record -- 6.6. Geosignatures -- 6.7. Chemical and Isotopic Signatures -- 6.8. Changes in Lake Habitat and Biosignatures -- 6.9. Conclusion -- Acknowledgments -- References -- Further Reading -- Chapter 7: Siliceous Hot Spring Deposits: Why They Remain Key Astrobiological Targets -- 7.1. Introduction -- 7.2. Hot Spring Deposits as Astrobiology Targets -- 7.3. Detection of Siliceous Hydrothermal Hot Spring Deposits on Mars -- 7.4. Mars Hot Spring Deposits at Nili Patera -- 7.5. Opaline Silica Deposits at Columbia Hills -- 7.6. The Likelihood of Finding More Hot Spring Deposits on Mars. 7.7. Geochemical Considerations -- 7.8. Competing Hypotheses for the Origin of Silica-Rich Deposits on Mars -- 7.9. Site Selection Considerations Relevant to the Return to Mars -- Acknowledgments -- References -- Further Reading -- Chapter 8: Habitability and Biomarker Preservation in the Martian Near-Surface Radiation Environment -- 8.1. Introduction -- 8.2. The Ionizing Radiation Environment on Mars -- 8.3. Radiation Effects on Living Cells -- 8.3.1. Radiation Chemistry of Water -- 8.3.2. Biological Impact of Various Forms of Radiation -- 8.4. The Maximum Dormancy Limit on Mars -- 8.5. Conclusions -- Appendix A: Mathematical Expressions -- Normal Bethe-Bloch Formula -- Electron Bethe-Bloch Formula -- References -- Further Reading -- Chapter 9: UV and Life Adaptation Potential on Early Mars: Lessons From Extreme Terrestrial Analogs -- 9.1. Overview -- 9.2. Background -- 9.3. A Polyextreme Environment -- 9.4. Adaptation and Its Limits -- 9.5. Conclusion -- Acknowledgments -- References -- Further Reading -- Chapter 10: Are Recurring Slope Lineae Habitable? -- 10.1. Overview -- 10.2. Introduction and Background -- 10.3. RSL in the Southern Middle Latitudes -- 10.4. RSL in Equatorial and Northern Middle Latitudes -- 10.5. Color Observations -- 10.6. CRISM Detection of Hydrated Salts -- 10.7. RSL Association With Small Gullies and Slumps -- 10.8. How Do RSL Form? -- 10.8.1. Melting of Shallow Ice -- 10.8.2. Groundwater Models -- 10.8.3. Deliquescence -- 10.8.4. Dry RSL Models -- 10.8.5. Hybrid Models -- 10.9. Implications for Habitability -- 10.10. Should Candidate RSL Be Treated Like Special Regions? -- 10.11. Future Study of RSL -- Acknowledgments -- References -- Chapter 11: The NASA Mars 2020 Rover Mission and the Search for Extraterrestrial Life -- 11.1. Introduction -- 11.1.1. Background and Previous Missions -- 11.2. Mission Objectives. 11.3. Mission Overview and Comparison to MSL -- 11.4. Science Payload and In Situ Investigations -- 11.4.1. Mastcam-Z -- 11.4.2. RIMFAX -- 11.4.3. SuperCam -- 11.4.4. PIXL -- 11.4.5. SHERLOC -- 11.4.6. MEDA -- 11.4.7. MOXIE -- 11.4.8. Returned Sample Science -- 11.5. Sampling and Caching System -- 11.5.1. Sample-Related Requirements -- 11.5.2. Design of the Sampling and Caching System -- 11.5.3. Sample Caching and Potential Return -- 11.6. Extant Life and Planetary Protection -- 11.7. Landing Site Selection -- 11.8. Mars 2020 and the Search for Life Beyond Earth -- 11.8.1. Mars 2020 and In Situ Astrobiology -- 11.8.2. Martian Biosignatures -- 11.8.3. Astrobiologic Considerations for MSR -- 11.8.4. Some Thoughts on Returned Sample Science -- Acknowledgments -- References -- Chapter 12: Searching for Traces of Life With the ExoMars Rover -- 12.1. Overview -- 12.2. What Is ExoMars? -- 12.3. Possible Life on Mars: When and Where? -- 12.4. Biosignatures: Which and How Reliable? -- 12.4.1. Morphological Biosignatures -- 12.4.2. Chemical Biosignatures -- 12.4.3. Importance of Geological Context for Boosting Biosignature Confidence -- 12.4.4. ExoMars Biosignature Targeting -- 12.5. The Need for Subsurface Exploration -- 12.5.1. Results From Previous Missions -- 12.5.2. Degradation of Organic Matter -- 12.5.3. Access to Molecular Biosignatures -- 12.6. The ExoMars Rover and Its Pasteur Payload -- 12.6.1. From Panoramic to Molecular Scale Through Nested Investigations -- 12.6.2. Pasteur Payload Instruments -- 12.6.2.1. Panoramic Camera System -- 12.6.2.2. IR Spectrometer -- 12.6.2.3. Shallow Ground-Penetrating Radar -- 12.6.2.4. Subsurface Neutron Detector -- 12.6.2.5. Close-Up Imager -- 12.6.2.6. Drill IR Spectrometer -- 12.6.2.7. Subsurface Drill -- 12.6.2.8. Sample Preparation and Distribution System -- 12.6.2.9. MicrOmega. 12.6.2.10. Raman Laser Spectrometer. EBL201808 SzGeCERN Astrophysics and Astronomy BOOK Grin, Edmond A https://cds.cern.ch/auth.py?r=EBLIB_P_5439783 ebook 201808 n 201834 21 PUBLIC https://catalogue.library.cern/legacy/2635567 BOOK MIGRATED 2635558 SzGeCERN 20210421204333.0 9780192554413 electronic version electronic version 9780198821229 electronic version electronic version 9780198821229 print version oai:cds.cern.ch:2635558 cerncds:BOOK EBL 5438603 eng 510 Elliott, Andrew Is that a big number? Oxford Oxford University Press 2018 349 p ebook COVER -- IS THAT A BIG NUMBER? -- COPYRIGHT -- BEWILDERED BY BIG NUMBERS? -- DEDICATION -- CONTENTS -- Introduction-Numbers Count -- Introduction -- The world is chaotic -- Numbers count -- Developing number sense -- Five ways to think about big numbers -- Everything connects -- Numerical serendipity -- For your numerical delight -- Random alignments -- The First Technique: Landmark Numbers-When You're Lost, Look for Landmarks -- PART 1 COUNTING NUMBERS -- What Counts?-How We Get from 1, 2, 3 to 'How Many Fish in the Sea?' -- Counting up -- What does it mean to count? -- Counting (like) crows -- The calculus of counting sheep -- Counting is singing -- Feynman can count and read -- Tukey can count and talk -- Singing is counting -- Keeping tallies -- Approximate counting -- How big is Yankee Stadium? -- When is 'more or less' good enough? -- How many fish in the sea? -- How many stars in the sky? -- So, what counts? -- How big is a billion? -- Numbers in the World-How Numeracy Connects to Everyday Life -- The age-old question: How strong is the beer? -- What is numeracy? -- It's not mathematics -- It's not accounting -- Folk numeracy versus scientific numeracy -- We're innumerate, but literate -- Words about numbers -- Why do words matter? -- Words embracing numbers -- Etymology of unit names -- Scientific notation -- The powers of a thousand -- Where do the big numbers start? -- Firm ground -- Where do I reach my numerical depth? -- Exposure to big numbers -- Visualising a thousand -- Powers of a thousand in language -- All roads lead to a thousand -- Precision -- The Second Technique: Visualisation-Paint a Picture in Your Mind -- How big is a billion? -- Unsquaring -- How many tennis balls does it take to fill St Paul's? -- PART 2 MEASURING UP -- Measurement -- What it means to measure. About the Size of It-Numbers to Quantify the Space We Live in -- The Long and the Short and the Tall -- Made to measure -- Out and about -- Metre for measure -- Measuring the things around us -- Sports: heights -- Sports: distances -- How big is a football field? -- How far can you throw that thing? -- Sports: equipment -- The Long versus the Tall -- Buildings and other structures -- Routes and roads -- Crossing continents -- Rivers -- The Lego world -- How far is 1000 km? -- How high is 100 metres? -- The Third Technique: Divide and Conquer-Take One Bite at a Time -- Distributing the load -- Pick your units and your multiples -- Ticking Away-How We Measure the Fourth Dimension -- It's about time -- The wheels of time -- Time is change -- Giving the time of day -- It's that time of year -- Some things just won't fit -- Turning years into numbers -- Measuring prehistory -- Time and technology -- The far future -- What happened a thousand years ago? A number ladder for time -- An Even Briefer History of Time -- Geological time by the numbers -- Human prehistory by the numbers -- The evolution of Homo sapiens -- The big migration -- Technological landmarks -- Ancient history by the numbers -- 5000 years and more ago (3000 bce and before) -- 4000-3000 years ago (2000 bce to 1000 bce) -- 3000-2500 years ago (1000 bce to 500 bce) -- 2500-2000 years ago (500 bce to 1 bce) -- 2000-1500 years ago (1 ce to 500 ce) -- 1500-1000 years ago (500 ce to 1000 ce) -- Multidimensional Measures-Areas and Volumes -- Squares for areas and cubes for volumes -- Them! -- Covering the ground -- Speaking (of) volumes -- No need to fear the giant ants -- String theory -- Land areas -- Tell her to find me an acre of land -- Making land metric -- City sizes -- An area the size of Wales -- How big is a country, typically? -- Measuring continents and large islands. Sipping and shipping: measuring volume -- Roll out the barrel -- Oil, by the barrel or by the tankerful -- Dry goods -- It's a hard rain a-gonna fall -- The Fourth Technique: Rates and Ratios-Knock 'Em Down to Size -- Per capita -- Share of the total -- Growth rates -- Massive Numbers-Heavy-Duty Numbers for Weighing Up -- The weight(s) of history -- Ancient measures -- From grain to gram -- He ain't heavy, he's my brother -- Everyday masses -- How heavy was King Kong? -- Other creatures, great and small -- Sink or swim? -- In good spirits -- Why did Archimedes leave his bath? -- What weighs a ton? -- 1 g to 1 kg -- 1 kg to 1000 kg (1 ton) -- 1000 kg to 1 million kg (1 ton to 1000 tons) -- More than 1 million kg (more than 1000 tons) -- Getting Up to Speed-Putting a Value on Velocity -- Blue Riband -- Measuring speed -- Going like the wind -- Speed limits -- Blue Birds, Bluebirds, and Bloodhounds -- Terminal velocity -- Escape velocity -- Orbital velocity -- Faster and faster -- Warp speed and beyond -- INTERMISSION TIME TO REVIEW AND REFLECT -- Numbers in the Wild-Variability and Distribution -- Number spotting -- Benford's law -- Benford's law put to the test -- Distribution of magnitude between 1 and 1000 -- Stand up and stretch your legs -- The Fifth Technique: Log Scales-Comparing the Very Small with the Very Big -- Breaking the number line -- Moore's law -- the richter scale -- Turn it down! -- Ebony and ivory -- Log books and slide rules -- Mortality -- A much, much briefer history of time -- PART 3 THE NUMBERS OF SCIENCE -- Thinking Big -- Numbers for the sake of knowledge -- Heavens Above-Measuring the Universe -- Reaching for the stars -- How high the Moon? -- Neighbourhood watch -- Light-years -- Interstellar -- Orders of magnitude -- Superclusters -- News from deep space -- The size of everything (well, everything we can see). How far is a billion kilometres? -- The heaviness of the heavens -- How do you weigh a planet? -- Masses of the planets and Sun -- The dance of the Earth and the Moon -- Comets and asteroids -- To our galaxy and beyond -- Astronomical densities -- A Bundle of Energy-Measuring the Spark -- Energetic numbers -- Confused and confusing -- Early measurement of energy -- How big is a joule? -- Energy in foods -- Energy in fuels -- What's your energy consumption? -- Temperature -- Big and small bangs -- Energy number ladder -- Bits, Bytes, and Words-Measurement for the Information Age -- Numbers about information -- Rosetta -- Information -- Measuring information -- Numbers and computer memory -- Making every word count -- Codes and redundancy -- Encoding the Bible -- Is a picture worth a thousand words? -- Storage capacity -- Big data centres -- Let Me Count the Ways-The Biggest Numbers in the Book -- Mathematically big numbers -- Combinatorics -- How hard is that problem? -- Who'd be a travelling salesman? -- What is a number anyway? -- What about googol and googolplex? -- What about Graham's number? -- What about infinity? -- PART 4 NUMBERS IN PUBLIC LIFE -- The Numerate Citizen -- The bones of the world -- Global numbers -- Who Wants to be a Millionaire?-Counting the Cash -- Tallysticks and stockholders -- What's that in Old Money? -- Measuring money -- Currencies: money's wobbly yardsticks -- Interest and inflation -- Remember when a dollar was still a dollar? -- Unconventional indices of purchasing power -- Measuring economies -- The Bluffer's Guide to National Finances -- How much do we earn? -- How much does the government take in tax? -- How much does the government spend? -- What's the balance? -- How much do we owe overall? -- How much does that cost us? -- Another look at GDP -- Yet another look at GDP -- Example: defence spending. Example: research spending -- Everybody Counts-Population Growth and Decline -- Stand on Zanzibar: How crowded is the world? -- The rise and rise of Homo sapiens -- Human life expectancy -- Child mortality -- We're not the only occupants of this planet -- Populations of species -- A (descending) number ladder of animal populations -- We're the ones in charge here -- Measuring How We Live-Inequality and Quality of Life -- Measuring variation and inequality -- Is that a big country? -- Measuring inequality-the Gini index -- Quality of life: Millennium Development Goals -- Goal 1: Eradicate extreme poverty and hunger -- Goal 2: Achieve universal primary education -- Goal 3: Promote gender equality and empower women -- Goal 4: Reduce child mortality -- Goal 5: Improve maternal health -- Goal 6: Combat HIV/AIDS, malaria, and other diseases -- Goal 7: Ensure environmental sustainability -- Goal 8: Develop a global partnership for development -- How does the overall achievement measure up? -- Quality of life: Human Development Index -- Quality of life: Happiness Index -- Summing Up-Numbers Still Count -- Numbers are natural -- Can't computers handle all this numbers stuff? -- Haven't the number-crunching experts let us down? -- But the experts can't even make up their minds! -- But you can prove anything with numbers, can't you? -- Five techniques -- Knowledge is power -- Life is chaotic. But life is good -- Back of the Book -- Introduction -- Reference -- Worthwhile web links -- What Counts? -- References -- Worthwhile web links -- Numbers in the World -- Worthwhile web links -- About the size of it -- Worthwhile web links -- Ticking Away -- References -- Worthwhile web links -- Multidimensional Measures -- Reference -- Worthwhile web links -- Massive Numbers -- Worthwhile web links -- Getting up to Speed -- Worthwhile web link -- Intermission. Worthwhile web links. Impressive numbers are thrown at us by the news every day. They are meant to help us understand, to compare, to evaluate, but in practice they often befuddle rather than enlighten. This entertaining, practical book gives us the tools and tips to decipher the figures, and to enjoy the way numbers enable us to understand our world. EBL201808 SzGeCERN Mathematical Physics and Mathematics BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5438603 ebook 201808 n 201834 21 PUBLIC https://catalogue.library.cern/legacy/2635558 BOOK MIGRATED 2635554 SzGeCERN 20210421204333.0 9780128138557 electronic version electronic version 9780128138557 print version 9780128138854 electronic version electronic version oai:cds.cern.ch:2635554 cerncds:BOOK EBL 5437219 eng 610.284 Nikolelis, Dimitrios P Nanotechnology and biosensors San Diego, CA Elsevier 2018 474 p ebook Micro & nano technologies series Front Cover -- Nanotechnology and Biosensors -- Copyright Page -- Dedication -- Contents -- List of Contributors -- Preface -- 1 Prototype Biosensing Devices: Design and Microfabrication Based on Nanotechnological Tools for the Rapid in the Field Det... -- 1.1 Introduction -- 1.2 Nanostructures, Nanoparticles, Nanowires, Nanofibers, and Nanoprobes -- 1.2.1 Tubular and Porous Nanostructures -- 1.2.2 Carbon Nanotubes -- 1.2.3 Other Nanotube Materials -- 1.3 Synthesis and Properties of Nanomaterials -- 1.3.1 Noble Metal Nanomaterials -- 1.3.2 Metal Oxide Nanomaterials -- 1.3.3 Carbon Nanomaterials -- 1.3.4 Polymer and Bionanomaterials -- 1.4 Electrochemical Biosensors -- 1.5 Optical Biosensors -- 1.6 Acoustic Wave Biosensors -- 1.7 Molecular Self-Assembly or Biomimic-Based Biosensors -- 1.8 Potential Application of Nanomaterials-Based Biosensors -- 1.8.1 Nanomaterials-Based Biosensors for the Detection of Glucose -- 1.8.2 Graphene-Based Electrochemical Enzymatic Biosensors for Hydrogen Peroxide Detection -- 1.8.3 Graphene-Based Electrochemical Enzymatic Biosensors for NADH Detection -- 1.8.4 Nanomaterials-Based Biosensors for the Detection of DNA and Protein -- 1.8.5 Lipid-Modified Nanosensors Based on Graphene Microelectrodes for the Detection of Toxicants in Foods -- 1.8.6 Nanomaterials-Based Biosensors for the Detection of Other Molecules -- 1.9 Environmental Applications -- 1.10 Challenges and Prospects -- References -- Further Reading -- 2 Biosensors for Intracellular and Less Invasive Measurements Based on Nanostructured Metal Oxides -- 2.1 Introduction -- 2.2 Applications of Metal Oxides Nanostructure to Areas of Biosensor -- 2.3 Intracellular Potentiometric Measurements -- 2.4 Metal Oxides Nanostructure Growth and Characterizations -- 2.5 ZnO Nanostructure-Based Intracellular Measurements -- 2.5.1 Intracellular Glucose Measurements. 2.5.2 Intracellular Metal Ion Measurements -- 2.5.3 Intracellular Calcium Ion Measurements -- 2.5.4 Intracellular Magnesium Ion Measurements -- 2.5.5 Intracellular Sodium and Potassium Ion Measurements -- 2.6 Conclusions -- 2.7 Summary -- References -- 3 Carbon Electrodes in Electrochemical Analysis of Biomolecules and Bioactive Substances: Roles of Surface Structures and C... -- 3.1 Introduction -- 3.1.1 Pyrolytic Graphite and HOPG -- 3.1.2 Glassy Carbon -- 3.1.3 Boron-Doped Diamond -- 3.1.4 Carbon Nanomaterials -- 3.1.4.1 Graphene -- 3.1.4.2 Carbon nanotubes -- 3.1.5 Composite Carbon Electrodes -- 3.1.5.1 Carbon paste electrodes -- 3.1.5.2 Screen-printed carbon electrodes -- 3.1.5.3 Pencil graphite electrodes -- 3.2 Purine Nucleobases as Model Analytes for Characterization of Graphite-Based Surfaces -- 3.2.1 Effects of Basal Planes and Edges of the Graphite-Based Structures -- 3.2.2 Mechanisms of Gua and Ade Oxidation at Basal-Plane and Edge-Oriented Graphite Structures -- 3.2.2.1 Electrochemical oxidation of pyrimidine nucleobases on graphite electrodes -- 3.2.3 Effects of Oxygenous Surface Groups -- 3.2.4 Electrooxidation of Nucleosides, Nucleotides, and DNA Fragments -- 3.2.4.1 Effects of DNA sequence and structure on nucleobase oxidation responses -- 3.2.4.2 Reduction of DNA bases and oxidation of their reduction products at the BPG -- 3.2.5 Examples of Recent Bioanalytical Applications of Graphite-Based Electrodes -- 3.2.5.1 Determination of natural nucleobases in microvolumes -- 3.2.5.2 DNA damage products -- 3.2.5.3 7-Deazapurines -- 3.2.5.4 Purine metabolites and therapeutics related to the xanthine oxidase pathway -- 3.2.5.5 Methylxanthines -- 3.3 Electrochemistry of Amino Acids and Proteins at Graphite-Based Electrodes -- 3.3.1 Adsorption of Amino Acids on Graphitic Nanostructures -- 3.3.2 Oxidation of AA Side Chains on Carbon Electrodes. 3.3.3 Peptides and Proteins -- 3.4 BDD Electrodes -- 3.4.1 Effects of the Boron-Doping Level -- 3.4.2 Effects of BDD Surface Termination -- 3.4.2.1 Pretreatment and activation procedures in relation to analyte types -- 3.4.2.2 Adsorptive features and examples of their utilization in electroanalysis at BDD electrodes -- 3.4.3 Analysis of Biomacromolecules and Their Constituents at the BDDE -- 3.4.3.1 Peptides and proteins -- 3.4.3.2 Nucleic acids and their components -- 3.5 Conclusions -- 3.6 List of Abbreviations -- Acknowledgments -- References -- 4 Carbon-Based Nanomaterials for Electrochemical DNA Sensing -- 4.1 Introduction -- 4.2 Carbon Nanomaterials -- 4.2.1 Synthesis and Properties -- 4.2.2 Electrochemical Properties -- 4.2.3 Preparation of Electrodes Modified With Carbon Nanotubes -- 4.3 Biosensors Based on Carbon Nanotubes -- 4.3.1 Dispersion and Functionalization of CNTs -- 4.3.1.1 Oxidation of CNTs -- 4.3.1.2 Functionalization of CNTs through electrostatic interaction -- 4.3.1.3 Functionalization of CNTs through interaction with polymers -- 4.3.1.4 Functionalization of CNTs through π-stacking interactions -- 4.3.1.5 Functionalization through electrochemical patterning -- 4.3.2 Methods of Immobilization of DNA on CNTs -- 4.4 Methods of Detection -- 4.4.1 Amperometric Methods -- 4.4.2 Nonfaradaic Measurement -- 4.5 Biosensors Based on Conjugation of CNTs With Nanomaterials -- 4.5.1 Conjugates With Nanoparticles -- 4.5.2 Conjugates With Conducting Polymers -- 4.5.3 CNTs Conjugated With Dendrimers -- 4.6 Integration of E-DNA Biosensors Based on CNT on Microfluidics Devices -- 4.7 Others Carbon Nanomaterials Prospects -- 4.7.1 Boron Doped Diamond Properties and Application in DNA -- 4.7.1.1 Properties -- 4.7.1.2 Applications for DNA biosensors -- 4.7.2 Graphene -- 4.7.2.1 Intrinsic properties -- 4.7.2.2 Applications for DNA biosensors. 4.8 Conclusion -- References -- 5 Gold Nanoparticle-Based Technologies in Photothermal/Photodynamic Treatment: The Challenges and Prospects -- 5.1 Introduction -- 5.1.1 Intratumoral Injection of Gold Nanoparticles -- 5.1.2 Combined PDT and PTT Effects -- 5.1.3 PTT After Single and Multiple Intravenous Administration of AuNRs -- 5.1.3.1 Preparation and characterization of AuNRs -- 5.1.3.2 In vivo experiments -- 5.1.3.3 Doppler assessment of tumor vascularization -- 5.1.3.4 Heating dynamics -- 5.1.3.5 Tumor growth retardation -- 5.1.3.6 Morphological examination -- 5.1.3.7 Microvessel density examination -- 5.2 Conclusion -- Acknowledgments -- References -- Further Reading -- 6 Encapsulated Magnetite Nanoparticles: Preparation and Application as Multifunctional Tool for Drug Delivery Systems -- 6.1 Introduction -- 6.2 Composite Materials Containing Iron Oxide Nanoparticles and Their Application -- 6.2.1 Magnetoliposomes -- 6.2.2 Composite Microcapsules Obtained by Sequential Adsorption of Polyelectrolytes and Magnetic Nanoparticles -- 6.3 MRI Visualization of Iron Oxide Nanoparticles and Nano/Micro Structures Containing Them -- 6.4 Conclusion -- Acknowledgments -- References -- 7 Metal Nanomaterial-Assisted Aptasensors for Emerging Pollutants Detection -- 7.1 Introduction -- 7.2 Metal Nanomaterials -- 7.2.1 Types of Metal Nanomaterials -- 7.2.2 Synthesis -- 7.2.3 Properties -- 7.2.4 Metallic Nanomaterials in Biosensing -- 7.2.4.1 Immobilization of biocomponents -- 7.2.4.2 Signal amplification -- 7.2.4.3 Signal transduction -- 7.3 Aptasensing Strategies as Promising Diagnostic Assays -- 7.3.1 The Systematic Evolution of Ligands by Exponential Enrichment Process -- 7.3.2 Binding Features of Aptamers -- 7.3.3 Conformational Flexibility of Aptamers -- 7.3.4 Aptamer-Functionalized Nanoparticles. 7.4 Application of Metal Nanoparticles in Aptasensing Platforms for Emerging Pollutants Monitoring -- 7.4.1 Pesticides -- 7.4.2 Heavy Metals -- 7.4.3 Pharmaceutical Residues -- 7.4.4 Phthalates and Bisphenol A -- 7.4.5 Other Pollutants -- 7.5 Advantages and Limitations of Metal Nanomaterial-Assisted Aptasensors -- 7.6 Conclusion and Perspectives -- Acknowledgments -- References -- 8 Impedimetric Aptasensors Using Nanomaterials -- 8.1 Aptasensors -- 8.1.1 Aptamer Immobilization Techniques -- 8.1.1.1 Physical adsorption -- 8.1.1.2 Covalent binding -- 8.1.1.3 Streptavidin (or avidin)-biotin affinity -- 8.1.1.4 Self-assembled monolayers -- 8.1.2 Types and Formats of Detection -- 8.1.2.1 Label-free versus labeled detection -- 8.1.2.2 Format of detection (configuration assay) -- 8.1.2.2.1 Direct format -- 8.1.2.2.2 Sandwich format -- 8.1.2.2.3 Competitive format -- 8.2 Electrochemical Impedance Spectroscopy -- 8.2.1 Theoretical Background -- 8.3 Impedimetric Aptasensors -- 8.4 Use of Nanomaterials in Impedimetric Aptasensors -- 8.4.1 Nanomaterials as Sensing Platforms -- 8.4.1.1 Gold nanoparticles -- 8.4.1.2 Carbon nanotubes -- 8.4.1.3 Graphene -- 8.4.1.4 Nanocomposites -- 8.4.2 Nanomaterials as Labels for Signal Amplification -- 8.4.2.1 Quantum dots -- 8.4.2.2 Gold nanoparticles -- 8.4.2.3 Carbon nanotubes -- 8.4.2.4 Graphene -- 8.5 Outlook and Perspectives -- Acknowledgments -- References -- 9 Electroanalytical Bioplatforms Based on Carbon Nanostructures as New Tools for Diagnosis -- 9.1 Introduction -- 9.2 Carbonaceous Materials Applied in the Biosensor Assembly -- 9.2.1 Carbon Nanotubes -- 9.2.2 Graphene -- 9.2.3 Carbon Black and Other Carbon Nanomaterials -- 9.3 Biosensor Signal Detection: General Consideration -- 9.4 Cancer Biomarkers Detection -- 9.4.1 Protein Biomarkers -- 9.4.2 Cancer Cells -- 9.5 Cardiac Biomarkers -- 9.6 Conclusion. Acknowledgments. EBL201808 SzGeCERN Engineering BOOK Paraskevi Nikoleli, Georgia https://cds.cern.ch/auth.py?r=EBLIB_P_5437219 ebook 201808 n 201834 21 PUBLIC https://catalogue.library.cern/legacy/2635554 BOOK MIGRATED 2635543 SzGeCERN 20200503232007.0 9780429893001 electronic version electronic version 9781498767682 electronic version electronic version 9781498767682 print version oai:cds.cern.ch:2635543 cerncds:BOOK EBL 5437043 eng G70.4 .H53 2018 621.36/78 He, Yuhong High spatial resolution remote sensing data, analysis, and applications Milton Chapman and Hall/CRC 2018 407 p ebook Imaging science Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Editors -- Contributors -- Section I: Data Acquisition and Preprocessing -- Chapter 1: High-Resolution UAS Imagery in Agricultural Research: Concepts, Issues, and Research Directions -- Chapter 2: Building a UAV-Hyperspectral System I: UAV and Sensor Considerations -- Chapter 3: Building a UAV-Hyperspectral System II: Hyperspectral Sensor Considerations and Data Preprocessing -- Chapter 4: LiDAR and Spectral Data Integration for Coastal Wetland Assessment -- Chapter 5: Multiview Image Matching for 3D Earth Surface Reconstruction -- Chapter 6: High-Resolution Radar Data Processing and Applications -- Section II: Algorithms and Techniques -- Chapter 7: Structure from Motion Techniques for Estimating the Volume of Wood Chips -- Chapter 8: A Workflow to Quantify the Carbon Storage in Urban Trees Using Multispectral ALS Data -- Chapter 9: Suitable Spectral Mixing Space Selection for Linear Spectral Unmixing of Fine-Scale Urban Imagery -- Chapter 10: Segmentation Scale Selection in Geographic Object-Based Image Analysis -- Chapter 11: Computer Vision Methodologies for Automated Processing of Camera Trap Data: A Technological Review -- Section III: Case Studies and Applications -- Chapter 12: UAV-Based Multispectral Images for Investigating Grassland Biophysical and Biochemical Properties -- Chapter 13: Inversion of a Radiative Transfer Model Using Hyperspectral Data for Deriving Grassland Leaf Chlorophyll -- Chapter 14: Wetland Detection Using High Spatial Resolution Optical Remote Sensing Imagery -- Chapter 15: Geomorphic and Biophysical Characterization of Wetland Ecosystems with Airborne LiDAR: Concepts, Methods, and a Case Study -- Chapter 16: Fraction Vegetation Cover Extraction Using High Spatial Resolution Imagery in Karst Areas. Chapter 17: Using High Spatial Resolution Imagery to Estimate Cherry Orchard Acreage in Michigan -- Index. EBL201808 SzGeCERN Engineering EBL Environmental sciences-Remote sensing EBL Optical radar BOOK Weng, Qihao https://cds.cern.ch/auth.py?r=EBLIB_P_5437043 ebook 201808 n 201834 21 PUBLIC BOOK DELETED 2635535 SzGeCERN 20210421204335.0 9780128104484 9780128104491 012810449X oai:cds.cern.ch:2635535 cerncds:BOOK SAFARI 9780128104491 eng TJ808.6 .N455 2018 621.310284 Neill, Simon P Fundamentals of ocean renewable energy generating electricity from the sea San Diego, CA Elsevier Science and Technology 2018 338 p ebook E-business solutions Front Cover -- Fundamentals of Ocean Renewable Energy: Generating Electricity from the Sea -- Copyright -- Quotes -- Contents -- Preface -- Chapter 1: Introduction -- 1.1 The Global Energy Mix -- 1.2 Climate Change and Sustainability -- Fossil Fuel Reserves -- 1.3 Electrical Grid systems -- Predictable -- Reliable -- Dispatchable -- 1.3.1 Supply vs. Demand -- 1.3.2 Grid Inertia -- 1.3.3 Interconnectors and Grid Storage -- 1.3.4 Levelized Cost of Energy -- 1.4 Ocean Renewable Energy -- 1.4.1 The Nature of Ocean Energy -- 1.4.2 Lessons From the Wind Energy Industry -- 1.4.3 Roadmaps and Progress -- 1.5 Energy and Power -- Units of Energy and Power -- Capacity Factor -- References -- Further Reading -- Chapter 2: Review of Hydrodynamic Theory -- 2.1 Vector and Index Notation -- 2.1.1 Einstein Convention -- 2.1.2 More Examples of Indicial Notation -- 2.2 Reynolds Transport Theorem -- 2.3 Navier-Stokes Equations -- 2.3.1 Euler Equations -- 2.3.2 Viscous and Turbulent Flows -- 2.3.3 Shallow Water Equations -- Leibnitz's Rule -- 2.4 Hydrodynamic Equations in 1D Steady Case -- References -- Chapter 3: Tidal Energy -- 3.1 Tide Generating Forces -- 3.2 Progressive Waves -- 3.3 Cotidal Charts -- 3.4 Standing Waves -- 3.5 Resonance -- 3.6 Coriolis -- 3.7 Kelvin Waves -- 3.8 Tidal Analysis and Prediction -- 3.9 Compound Tides -- 3.10 Overtides and Tidal Asymmetry -- 3.11 Characterizing Tides at a Site -- 3.11.1 Velocity Profile -- 3.11.2 Power Density -- 3.11.3 Tidal Ellipses -- 3.12 Tidal-Stream Devices -- 3.12.1 Horizontal Axis Turbines -- 3.12.2 Vertical Axis Turbines -- 3.12.3 Oscillating Hydrofoils -- 3.12.4 Venturi Effect Devices -- 3.12.5 Tidal Kites -- 3.12.6 Arrays -- 3.13 Basic Hydrodynamics of HorizontalAxis Turbines -- 3.13.1 Power Coefficient and the Betz Limit. 3.14 Tidal Range: Lagoons and Barrages -- References -- Further Reading -- Chapter 4: Offshore Wind -- 4.1 Introduction -- 4.2 An Introduction to Offshore Wind Turbines -- 4.2.1 Aerodynamics of Wind Turbines -- Betz Limit -- Power Curve -- 4.3 Assessment of Wind Energy at a Site -- 4.3.1 Atmospheric Boundary Layer -- 4.3.2 Temporal Distribution: Probability Density Function of Wind Speed -- 4.3.3 Block Island Wind Farm -- Calculation of Power Output and Capacity Factor -- 4.4 Marine Spatial Planning -- References -- Chapter 5: Wave Energy -- 5.1 Wave Processes -- 5.1.1 Linear Wave Theory -- 5.1.2 Relationship Between Wave Celerity, Wave Number, and Water Depth: The Dispersion Equation -- 5.1.3 Wave Energy and Wave Power -- 5.1.4 Irregular Waves -- Wave Power for Irregular Waves -- 5.1.5 Nonlinear Waves -- Wave Breaking -- Nonlinear Dispersion Equation -- 5.2 Wave Transformation Due to Shoaling Water -- 5.2.1 Wave Shoaling -- 5.2.2 Wave Refraction -- 5.3 Diffraction -- 5.4 Wave Energy Converters -- 5.4.1 Technology Types -- Attenuator -- Surface Point Absorber -- Oscillating Wave Surge Converter -- Oscillating Water Column -- Overtopping Devices -- 5.4.2 Comparison Between WEC Technologies -- 5.4.3 Basic Motions of WECs -- 5.4.4 Theory of Heaving Point Absorbers -- Mass-Spring-Damper -- Analytical Solution of Free Vibration -- Analytical Solution of Forced Vibration -- Simple Model of a Heaving Point Absorber -- 5.5 Wave Resource Assessment -- 5.5.1 Theoretical, Technical, and Practical Resources -- 5.5.2 Survivability and Maintenance -- References -- Further Reading -- Chapter 6: Other Forms of Ocean Energy -- 6.1 Introduction -- 6.2 Ocean Currents -- 6.2.1 Variability -- 6.2.2 Technology Types -- 6.2.3 Environmental Impacts -- 6.3 Ocean Thermal Energy Conversion -- 6.3.1 Closed Cycle OTEC. 6.3.2 Open Cycle OTEC -- 6.3.3 OTEC Thermodynamics -- 6.3.4 Commercial Progress -- 6.3.5 Additional Benefits of OTEC Power Plants -- 6.3.6 Environmental Impacts -- 6.4 Salinity Gradients -- 6.4.1 Technology Types -- Pressure Retarded Osmosis -- Reversed Electro Dialysis -- 6.5 Technological Challenges -- References -- Further Reading -- Chapter 7: In Situ and Remote Methods for Resource Characterization -- 7.1 Tidal Energy Resource Characterization -- 7.1.1 Water-Level Measurements -- Tidal Poles -- Stilling-Well Gauges -- Pressure Measuring Systems -- Radar Sensor -- 7.1.2 Mechanical and Electromagnetic Current Meters -- 7.1.3 Acoustic Doppler Velocimeter -- 7.1.4 Acoustic Doppler Current Profiler -- Principal of Operation -- Moored ADCP -- Hull-Mounted ADCP -- 7.1.5 Lagrangian Drifters -- 7.2 Wave Energy Resource Characterization -- 7.2.1 Wave Buoys -- General Principals -- Postprocessing and Interpretation -- 7.2.2 Pressure Transducers -- 7.2.3 Acoustic Waves and Currents -- 7.3 Remote Sensing -- 7.3.1 X-Band Radar -- 7.3.2 HF Radar -- 7.3.3 Satellite and Airborne Remote Sensing -- 7.4 Vessel Measurements -- 7.4.1 Vertical Profiling -- 7.4.2 Point Sampling -- Dynamical Properties -- Static Properties -- 7.4.3 Multibeam -- 7.5 Other Forms of Measurement -- References -- Further Reading -- Chapter 8: Ocean Modelling for Resource Characterization -- 8.1 Generic Features of Ocean Models -- 8.1.1 Horizontal Mesh Type -- 8.1.2 Vertical Grid Type -- 8.1.3 Sources of Data -- Coastline Data -- Bathymetry Data -- Boundary Data -- Surface Forcing -- 8.1.4 Time Step -- 8.1.5 Staggered Grids -- 8.1.6 Discretization -- Discretization: A Simple Finite Differencing Example -- 8.2 Numerical Methods -- 8.2.1 Finite Difference Method -- Truncation Error -- 8.2.2 Finite Element Method -- 8.2.3 Finite Volume Method. 8.3 Tidal Modelling -- 8.3.1 Turbulence Closure -- 8.3.2 Boundary Conditions -- Coastlines -- Clamped Elevation -- Clamped Normal Velocity -- Flather -- Chapman -- 8.3.3 Time Splitting -- 8.4 Wave Modelling -- 8.4.1 Phase-Averaged Wave Models -- 8.4.2 Source Terms -- Wind Input -- Dissipation -- Nonlinear Wave-Wave Interactions -- 8.5 Validation -- 8.5.1 Validation Metrics -- Correlation Coefficient -- Root Mean Squared Error -- Scatter Index -- Bias -- 8.6 Tools for Model Preprocessingand Postprocessing -- 8.6.1 Matlab -- 8.6.2 Blue Kenue -- 8.7 Supercomputing -- 8.8 CFD Modelling -- 8.9 Modelling Case Studies -- 8.9.1 Wave Model of Galway Bay (Ireland) -- Model Setup -- Model Validation -- Results -- 8.9.2 Tidal Model of Orkney (Scotland) -- Model Setup -- Results -- References -- Further Reading -- Chapter 9: Optimization -- 9.1 Introduction to Optimization Theory -- 9.1.1 Mathematical Formulation of an Optimization Problem -- 9.1.2 Search Methods and Optimization Algorithms -- 9.2 Intraarray Optimization -- 9.2.1 Micro-Siting of Offshore Wind Farms -- Wake Effect -- Decision Variables -- Objective Functions -- Constraints -- Solution Techniques -- 9.2.2 TEC Array Optimization -- Interdevice Spacing -- Blockage -- 9.2.3 WEC Array Optimization -- Park Effect -- Smoothing Power Fluctuations -- Geometry of WEC Layout -- Device Spacing -- Size of WECs in an Array -- 9.3 Interarray Optimization -- 9.3.1 Phasing of Tidal Stream Arrays -- 9.3.2 Phasing of Multiple Tidal Range Power Plants -- 9.3.3 Combined Tidal Range and Tidal Stream Phasing -- 9.4 Optimization of Hybrid Marine Renewable Energy Projects -- 9.4.1 Combined Wind-Wave Projects -- 9.5 Optimization Tools -- 9.5.1 HOMER -- Simulation -- Optimization -- Sensitivity Analysis -- 9.5.2 OpenTidalFarm -- References -- Further Reading. Chapter 10: Other Aspects of Ocean Renewable Energy -- 10.1 Resource Variability -- 10.1.1 Timescales of Multiple Ocean Renewable Energy Resources -- 10.1.2 Long Timescale Changes to the Resource -- Wind Energy -- Wave Energy -- Tidal Range -- Tidal Stream -- 10.2 Interactions of Energy Resources and Energy Devices (Resource Uncertainty) -- 10.2.1 Wave-Tide Interaction -- Effect of Tidal Currents on Wave Energy -- Effect of Waves on the Tidal Energy Resource -- 10.2.2 Accounting for Ocean Energy Devices in Numerical Models -- Tidal Models -- Wave Models -- 10.3 Ocean Energy Project Development -- 10.4 Impact of Tidal Energy Extraction on Sediment Dynamics -- 10.4.1 Impact of TEC Arrays on Sediment Dynamics -- Tidal Asymmetry -- Offshore Sand Banks -- 10.4.2 Tidal Lagoons -- References -- Further Reading -- Index -- Back cover. SAF201902 EBLlink deleted SzGeCERN Engineering EBL Electric power production BOOK Hashemi, M Reza https://learning.oreilly.com/library/view/-/9780128104491/?ar ebook 201808 n 201834 21 PUBLIC https://catalogue.library.cern/legacy/2635535 BOOK MIGRATED 2635532 SzGeCERN 20210421204335.0 9781119479352 9781119479406 oai:cds.cern.ch:2635532 cerncds:BOOK SAFARI 9781119479352 eng TJ807.9.U6 .P335 2018 621.3121 Packer, Neil Conventional and alternative power generation thermodynamics, mitigation and sustainability Newark, NJ John Wiley and Sons 2018 293 p ebook Cover -- Title Page -- Copyright -- Contents -- Preface -- Structure of the Book -- Notation -- Chapter 1 Thermodynamic Systems -- 1.1 Overview -- Learning Outcomes -- 1.2 Thermodynamic System Definitions -- 1.3 Thermodynamic Properties -- 1.4 Thermodynamic Processes -- 1.5 Formation of Steam and the State Diagrams -- 1.5.1 Property Tables and Charts for Vapours -- 1.6 Ideal Gas Behaviour in Closed and Open Systems and Processes -- 1.7 First Law of Thermodynamics -- 1.7.1 First Law of Thermodynamics Applied to Open Systems -- 1.7.2 First Law of Thermodynamics Applied to Closed Systems -- 1.8 Worked Examples -- Chapter 2 Vapour Power Cycles -- 2.1 Overview -- Learning Outcomes -- 2.2 Steam Power Plants -- 2.3 Vapour Power Cycles -- 2.3.1 The Carnot Cycle -- 2.3.2 The Simple Rankine Cycle -- 2.3.3 The Rankine Superheat Cycle -- 2.3.4 The Rankine Reheat Cycle -- 2.3.4.1 Analysis of the Rankine Reheat Cycle -- 2.3.5 Real Steam Processes -- 2.3.6 Regenerative Cycles -- 2.3.6.1 Single Feed Heater -- 2.3.6.2 Multiple Feed Heaters -- 2.3.7 Organic Rankine Cycle (ORc) -- 2.3.7.1 Choice of the Working Fluid for ORc -- 2.4 Combined Heat and Power -- 2.4.1 Scenario One: Power Only -- 2.4.2 Scenario Two: Heat Only -- 2.4.3 Scenario Three: Heat and Power -- 2.4.4 Cogeneration, Trigeneration and Quad Generation -- 2.5 Steam Generation Hardware -- 2.5.1 Steam Boiler Components -- 2.5.2 Types of Boiler -- 2.5.3 Fuel Preparation System -- 2.5.4 Methods of Superheat Control -- 2.5.5 Performance of Steam Boilers -- 2.5.5.1 Boiler Efficiency -- 2.5.5.2 Boiler Rating -- 2.5.5.3 Equivalent Evaporation -- 2.5.6 Steam Condensers -- 2.5.6.1 Condenser Calculations -- 2.5.7 Cooling Towers -- 2.5.8 Power‐station Pumps -- 2.5.8.1 Pump Applications -- 2.5.9 Steam Turbines -- 2.6 Worked Examples -- Chapter 3 Gas Power Cycles -- 3.1 Overview -- Learning Outcomes. 3.2 Introduction to Gas Turbines -- 3.3 Gas Turbine Cycle -- 3.3.1 Irreversibilities in Gas Turbine Processes -- 3.3.2 The Compressor Unit -- 3.3.3 The Combustion Chamber -- 3.3.4 The Turbine Unit -- 3.3.5 Overall Performance of Gas Turbine Plants -- 3.4 Modifications to the Simple Gas Turbine Cycle -- 3.4.1 Heat Exchanger -- 3.4.2 Intercooling -- 3.4.3 Reheating -- 3.4.4 Compound System -- 3.4.5 Combined Gas Turbine/Steam Turbine Cycle -- 3.5 Gas Engines -- 3.5.1 Internal Combustion Engines -- 3.5.2 The Otto Cycle -- 3.5.2.1 Analysis of the Otto Cycle -- 3.5.3 The Diesel Cycle -- 3.5.3.1 Analysis of the Diesel Cycle -- 3.5.4 The Dual Combustion Cycle -- 3.5.4.1 Analysis of the Dual Cycle -- 3.5.5 Diesel Engine Power Plants -- 3.5.6 External Combustion Engines - The Stirling Engine -- 3.6 Worked Examples -- Chapter 4 Combustion -- 4.1 Overview -- Learning Outcomes -- 4.2 Mass and Matter -- 4.2.1 Chemical Quantities -- 4.2.2 Chemical Reactions -- 4.2.3 Physical Quantities -- 4.3 Balancing Chemical Equations -- 4.3.1 Combustion Equations -- 4.4 Combustion Terminology -- 4.4.1 Oxidizer Provision -- 4.4.2 Combustion Product Analyses -- 4.4.3 Fuel mixtures -- 4.5 Energy Changes During Combustion -- 4.6 First Law of Thermodynamics Applied to Combustion -- 4.6.1 Steady‐flow Systems (SFEE) [Applicable to Boilers, Furnaces] -- 4.6.2 Closed Systems (NFEE) [Applicable to Engines] -- 4.6.3 Flame Temperature -- 4.7 Oxidation of Nitrogen and Sulphur -- 4.7.1 Nitrogen and Sulphur -- 4.7.2 Formation of Nitrogen Oxides (NOx) -- 4.7.3 NOx Control -- 4.7.3.1 Modify the Combustion Process -- 4.7.3.2 Post‐flame Treatment -- 4.7.4 Formation of Sulphur Oxides (SOx) -- 4.7.5 SOx Control -- 4.7.5.1 Flue Gas Sulphur Compounds from Fossil‐fuel Consumption -- 4.7.5.2 Sulphur Compounds from Petroleum and Natural Gas Streams -- 4.7.6 Acid Rain -- 4.8 Worked Examples. Chapter 5 Control of Particulates -- 5.1 Overview -- Learning Outcomes -- 5.2 Some Particle Dynamics -- 5.2.1 Nature of Particulates -- 5.2.2 Stokes's Law and Terminal Velocity -- 5.3 Principles of Collection -- 5.3.1 Collection Surfaces -- 5.3.2 Collection Devices -- 5.3.3 Fractional Collection Efficiency -- 5.4 Control Technologies -- 5.4.1 Gravity Settlers -- 5.4.1.1 Model 1: Unmixed Flow Model -- 5.4.1.2 Model 2: Well‐mixed Flow Model -- 5.4.2 Centrifugal Separators or Cyclones -- 5.4.3 Electrostatic Precipitators (ESPs) -- 5.4.4 Fabric Filters -- 5.4.5 Spray Chambers and Scrubbers -- 5.5 Worked Examples -- Chapter 6 Carbon Capture and Storage -- 6.1 Overview -- Learning Outcomes -- 6.2 Thermodynamic Properties of CO2 -- 6.2.1 General Properties -- 6.2.2 Equations of State -- 6.2.2.1 The Ideal or Perfect Gas Law -- 6.2.2.2 The Compressibility Factor -- 6.2.2.3 Van der Waal Equation of State -- 6.2.2.4 Beattie-Bridgeman Equation (1928) -- 6.2.2.5 Benedict-Webb-Rubin Equation (1940) -- 6.2.2.6 Peng-Robinson Equation of State (1976) -- 6.3 Gas Mixtures -- 6.3.1 Fundamental Mixture Laws -- 6.3.2 PVT Behaviour of Gas Mixtures -- 6.3.2.1 Dalton's Law -- 6.3.2.2 Amagat's Law -- 6.3.3 Thermodynamic Properties of Gas Mixtures -- 6.3.4 Thermodynamics of Mixture Separation -- 6.3.4.1 Minimum Separation Work -- 6.3.4.2 Separation of a Two‐component Mixture -- 6.4 Gas Separation Methods -- 6.4.1 Chemical Absorption by Liquids -- 6.4.1.1 Aqueous Carbon Dioxide and Alkanolamine Chemistry -- 6.4.1.2 Alternative Absorber Solutions -- 6.4.2 Physical Absorption by Liquids -- 6.4.3 Oxyfuel, Cryogenics and Chemical Looping -- 6.4.4 Gas Membranes -- 6.4.4.1 Membrane Flux -- 6.4.4.2 Maximizing Flux -- 6.4.4.3 Membrane Types -- 6.5 Aspects of CO2 Conditioning and Transport -- 6.5.1 Multi‐stage Compression -- 6.5.2 Pipework Design -- 6.5.2.1 Pressure Drop. 6.5.2.2 Materials -- 6.5.2.3 Maintenance and Control -- 6.5.3 Carbon Dioxide Hazards -- 6.5.3.1 Respiration -- 6.5.3.2 Temperature -- 6.5.3.3 Ventilation -- 6.6 Aspects of CO2 Storage -- 6.6.1 Biological Sequestration -- 6.6.2 Mineral Carbonation -- 6.6.3 Geological Storage Media -- 6.6.4 Oceanic Storage -- 6.7 Worked Examples -- Chapter 7 Pollution Dispersal -- 7.1 Overview -- 7.2 Atmospheric Behaviour -- 7.2.1 The Atmosphere -- 7.2.2 Atmospheric Vertical Temperature Variation and Air Motion -- 7.3 Atmospheric Stability -- 7.3.1 Stability Classifications -- 7.3.2 Stability and Stack Dispersal -- 7.3.2.1 Non‐inversion Conditions -- 7.3.2.2 Inversion Conditions -- 7.3.3 Variation in Wind Velocity with Elevation -- 7.4 Dispersion Modelling -- 7.4.1 Point Source Modelling -- 7.4.2 Plume Rise -- 7.4.3 Effect of Non‐uniform Terrain on Dispersal -- 7.5 Alternative Expressions of Concentration -- 7.6 Worked Examples -- Chapter 8 Alternative Energy and Power Plants -- 8.1 Overview -- Learning Outcomes -- 8.2 Nuclear Power Plants -- 8.2.1 Components of a Typical Nuclear Reactor -- 8.2.2 Types of Nuclear Reactor -- 8.2.3 Environmental Impact of Nuclear Reactors -- 8.3 Solar Power Plants -- 8.3.1 Photovoltaic Power Plants -- 8.3.2 Solar Thermal Power Plants -- 8.4 Biomass Power Plants -- 8.4.1 Forestry, Agricultural and Municipal Biomass for Direct Combustion -- 8.4.1.1 Bulk Density (kg/m3) -- 8.4.1.2 Moisture Content (% by Mass) -- 8.4.1.3 Ash Content (% by Mass) -- 8.4.1.4 Calorific Value (kJ/kg) and Combustion -- 8.4.2 Anaerobic Digestion -- 8.4.3 Biofuels -- 8.4.3.1 Biodiesel -- 8.4.3.2 Bioethanol -- 8.4.4 Gasification and Pyrolysis of Biomass -- 8.5 Geothermal Power Plants -- 8.6 Wind Energy -- 8.6.1 Theory of Wind Energy -- 8.6.1.1 Actual Power Output of the Turbine -- 8.6.2 Wind Turbine Types and Components -- 8.7 Hydropower. 8.7.1 Types of Hydraulic Power Plant -- 8.7.1.1 Run‐of‐river Hydropower -- 8.7.1.2 Storage Hydropower -- 8.7.2 Estimation of Hydropower -- 8.7.3 Types of Hydraulic Turbine -- 8.8 Wave and Tidal (or Marine) Power -- 8.8.1 Characteristics of Waves -- 8.8.2 Estimation of Wave Energy -- 8.8.3 Types of Wave Power Device -- 8.8.4 Tidal Power -- 8.8.4.1 Tidal Barrage Energy -- 8.8.4.2 Tidal Stream Energy -- 8.9 Thermoelectric Energy -- 8.9.1 Direct Thermal Energy to Electrical Energy Conversion -- 8.9.2 Thermoelectric Generators (TEGs) -- 8.10 Fuel Cells -- 8.10.1 Principles of Simple Fuel Cell Operation -- 8.10.2 Fuel Cell Efficiency -- 8.10.3 Fuel Cell Types -- 8.11 Energy Storage Technologies -- 8.11.1 Energy Storage Characteristics -- 8.11.2 Energy Storage Technologies -- 8.11.2.1 Hydraulic Energy -- 8.11.2.2 Pneumatic Energy -- 8.11.2.3 Ionic Energy -- 8.11.2.4 Rotational Energy -- 8.11.2.5 Electrostatic Energy -- 8.11.2.6 Magnetic Energy -- 8.12 Worked Examples -- Appendix A Properties of Water and Steam -- Appendix B Thermodynamic Properties of Fuels and Combustion Products -- Bibliography -- Index -- EULA. SAF202009 EBLlink deleted SzGeCERN Computing and Computers BOOK Al-Shemmeri, Tarik https://learning.oreilly.com/library/view/-/9781119479352/?ar ebook 201808 n 201834 21 PUBLIC https://catalogue.library.cern/legacy/2635532 BOOK MIGRATED 2635515 SzGeCERN 20181215220130.0 9781630814922 (electronic bk.) electronic version 9781630810993 electronic version 9781630810993 print version oai:cds.cern.ch:2635515 cerncds:BOOK EBL 5430738 eng VK560 .H324 2017 623.89/33 Hagen, John Erik Implementing e-navigation Norwood Artech House 2017 215 p ebook Implementing e-Navigation -- Contents -- Acknowledgments -- 1 Introduction to e-Navigation -- 1.1 What Is e-Navigation? -- 1.2 The Vision of e-Navigation -- 1.3 Development of e-Navigation -- 1.3.1 The e-Navigation Concept -- 1.3.2 e-Navigation Is a Collective Task -- 1.3.3 Approaches toward a Global e-Navigation System -- 1.3.4 Industry's Role -- 1.3.5 Ownership of e-Navigation -- 1.3.6 Concerns about e-Navigation -- 1.4 Aims and Objectives of e-Navigation -- 1.4.1 Safety Including Reducing Accidents -- 1.4.2 Efficiency and Reduced Costs -- 1.4.3 Use of e-Navigation in Security -- 1.4.4 Use of e-Navigation and Cybersecurity -- 1.4.5 Protection of the Environment -- 1.4.6 Global and Technical Standardization -- 1.4.7 Communications -- 1.4.8 Training and Familiarization -- 2 Maritime Navigation: Current Equipment and Practices -- 2.1 Navigational Equipment, Systems, Displays, and Bridge Systems -- 2.2 Ship Reporting and Shore-Based Services -- 2.3 Communications and Interoperability -- 2.4 Challenges in VTS and port areas -- 3 Performance Gaps -- 3.1 Identifying User Needs -- 3.2 Gap Analysis -- 3.3 Solutions Identified by the Gap Analysis -- 3.4 e-Navigation Development by IHO and IALA -- 3.4.1 IHO -- 3.4.2 IALA -- 4 e-Navigation Solutions -- 4.1 Introduction to e-Navigation Solutions -- 4.2 Further Development -- 4.2.1 Solution 1: Harmonization of Bridge Design -- 4.2.2 Solution 2: Means for Standardized and Automatic Ship Reporting -- 4.2.3 Solution 3: Improved Reliability, Resilience, and Integrity of Bridge Equipment and Navigation Information -- 4.2.4 Solution 4: Integration and Presentation of Available Information in Graphical Displays Received via Communication Equipment -- 4.2.5 Solution 5: MSPs -- 4.3 Examples of Implementing e-Navigation -- 4.3.1 Canada -- 4.3.2 The United States -- 4.3.3 Norway -- 4.3.4 Australia. 4.4 Expectations of Maritime Equipment Manufacturers -- 4.5 Communications -- 4.6 The Link -- 5 Standards -- 5.1 The IMO Process -- 5.1.1 Royal Majesty -- 5.2 e-Navigation Choices of Standards and Guidelines -- 5.2.1 Adding New Modules to the Revised Performance Standards for INSs (Resolution MSC.252 (83) Adoption of the Revised Performance Standards for Integrated Navigation Systems (INS)) -- 5.2.2 Draft Guidelines on Standardized Modes of Operation -- 5.2.3 Revision of the Guidelines and Criteria for Ship Reporting Systems (Resolution MSC.43(64)) -- 5.2.4 Revision of the General Requirements for Shipborne Radio Equipment Forming Part of the GMDSS and for Electronic Navigational Aids (Resolution A.684(17)) -- 5.2.5 Draft Guidelines for the Harmonized Display of Navigation Information Received via Communications Equipment -- 5.2.6 MSPs -- 5.3 Carriage Requirements for e-Navigation -- 6 The Future -- 6.1 Introduction to the Future -- 6.2 Digital Globalization -- 6.3 Challenges -- 6.4 Ships, Ports, and VTSs in the Future -- 6.4.1 Future VTS -- 6.4.2 The Future Port -- 6.5 Moving e-Navigation On Board and Ashore -- 6.6 Skills and Training -- 6.7 Unmanned Ships -- 6.8 Big Data -- 6.9 Managing the Environmental Impact of Shipping -- 6.10 Presenting the Future -- About the Author -- Index. EBL201808 SzGeCERN Engineering EBL Electronics in navigation EBL Electronics in navigation-fast-(OCoLC)fst00907617 EBL Navigation-Data processing BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5430738 ebook 201808 n 201834 21 PUBLIC BOOK DELETED 2635380 SzGeCERN 20181005224057.0 9781119289098 (electronic bk.) electronic version 9781119289067 electronic version 9781119289067 print version oai:cds.cern.ch:2635380 cerncds:BOOK EBL 5407777 eng GE145 .M334 2018 519 McBean, Edward A Risk assessment procedures and protocols Newark, NJ John Wiley and Sons 2018 423 p Intro -- Table of Contents -- Preface -- 1 Background to Risk Assessment and Management -- 1.1 The Case for Risk Assessment, Leading to Risk Management -- 1.2 The Need for Risk Quantification -- 1.3 Environmental Risk -- 1.4 A Measure of Quantifying Risk: Loss of Life Expectancy -- 1.5 Reliance on Environmental Data -- 1.6 Some Summary Indications of Approaches for Statistical Analyses -- 1.7 Overview of Book Content -- 1.8 References -- 1.9 Problems -- Part I: Methodologies for Risk Characterization -- 2 Introduction to Risk Assessment -- 2.1 Challenges in Risk Assessment -- 2.2 Categories of Risk -- 2.3 De Minimis Risk -- 2.4 Toxicological Versus Epidemiological Data -- 2.5 Basics of Environmental Risk Assessment -- 2.6 Estimating Intake (Dose) -- 2.7 Calculating the Risk for Noncarcinogens -- 2.8 Calculating Risks for Carcinogens -- 2.9 Ecological Risk Assessment -- 2.10 Issues of Uncertainties in Risk -- 2.11 References -- 2.12 Problems -- 3 Factors Influencing the Assessment and Management of Risk -- 3.1 Background for Some of the Issues Influencing Risk Assessment and Management -- 3.2 Issues of Perception Versus Reality in Risk Assessment -- 3.3 Qualitative Risk Characterization and Probability-Impact Matrix Procedures -- 3.4 Microbial Risk Assessment -- 3.5 References -- 3.6 Problems -- 4 Characteristics of Environmental Quality Data -- 4.1 Background to Data -- 4.2 Characteristics of Environmental Quality Data -- 4.3 Some Summary Indications of Approaches for Statistical Analyses -- 4.4 Samples and Populations -- 4.5 Probability and Statistics -- 4.6 Graphical Data Descriptors -- 4.7 Summary Measures of the Distribution of Data -- 4.8 Further Summary Measures of the Distribution of Data -- 4.9 Conditional Probability and Bayes Theorem -- 4.10 Summary -- 4.11 References -- 4.12 Problems -- Part II: Characterization of Common Distributions. 5 The Normal or Gaussian Distribution -- 5.1 Introduction -- 5.2 The Mathematics of the Normal Distribution -- 5.3 Tests for Normality -- 5.4 The t‐Distribution -- 5.5 Extent of Use of the Normal Distribution -- 5.6 Summary Comments -- 5.7 References -- 5.8 Problems -- 6 The Lognormal Distribution -- 6.1 Introduction -- 6.2 Important Features of the Lognormal Distribution -- 6.3 Tests for Lognormality -- 6.4 Generation of Lognormal Concentration Data -- 6.5 References -- 6.6 Problems -- 7 Other Distributions Useful for Characterizing Environmental Quality Data -- 7.1 Introduction -- 7.2 The Poisson Distribution -- 7.3 Extreme Value Distributions -- 7.4 References -- 7.5 Problem -- Part III: Hypothesis Testing of Environmental Quality -- 8 Identification of System Changes and Outliers Using Control Charts -- 8.1 Introduction -- 8.2 Tolerance Intervals -- 8.3 Confidence Intervals -- 8.4 Prediction Interval Characterizations -- 8.5 Detection of Data Outliers -- 8.6 Summary of Approaches for Identifying Data Outliers -- 8.7 References -- 8.8 Problems -- 9 Hypothesis Testing -- 9.1 Introduction -- 9.2 Details of Hypothesis Testing -- 9.3 Steps for Significance Testing -- 9.4 Student's t‐Test -- 9.5 Acceptance and Rejection Regions -- 9.6 Power of the Discrimination Tests -- 9.7 Extensions of the t‐Test -- 9.8 References -- 9.9 Problems -- 10 Multiple Comparisons Using Parametric Analyses -- 10.1 Introduction -- 10.2 Analysis of Variance (ANOVA) -- 10.3 Testing for Homogeneity of Variance -- 10.4 ANOVA Procedure -- 10.5 Two‐Way ANOVA -- 10.6 Iterations and Data Transformations -- 10.7 Concerns with Multiple Comparisons -- 10.8 Summary -- 10.9 References -- 10.10 Problems -- 11 Testing Differences Between Monitoring Records When Censored Data Records Exist -- 11.1 Introduction -- 11.2 Alternative Types of Censoring. 11.3 Alternative Procedures for Statistical Analysis of Environmental Quality Datasets -- 11.4 Multiple Detection Limits -- 11.5 References -- 11.6 Problems -- 12 Nonparametric Procedures -- 12.1 Introduction -- 12.2 Single Comparison Procedures -- 12.3 Multiple Comparison Procedures -- 12.4 References -- 12.5 Problems -- Appendix A -- References -- Index -- End User License Agreement. https://cds.cern.ch/auth.py?r=EBLIB_P_5407777 ebook 201808 n 201834 ebook EBL201808 SzGeCERN Information Transfer and Management BOOK 21 PUBLIC BOOK DELETED 2635362 SzGeCERN 20210421204348.0 9781138198715 electronic version electronic version 9781138198715 print version 9781482254440 electronic version electronic version oai:cds.cern.ch:2635362 cerncds:BOOK EBL 5380638 eng 621.395 Ahmad, Ishfaq Handbook of energy-aware and green computing Milton Chapman and Hall/CRC 2016 1216 p ebook Chapman & Hall/CRC computer and information science series Front Cover -- Volume 1: Handbook of Energy-Aware and Green Computing -- Contents -- Preface -- Editors -- Contributors -- I: Components, Platforms, and Architectures -- 1: Subthreshold Computing -- 2: Energy-Efficient Network-on-Chip Architectures for Multi-Core Systems -- 3: Geyser: Energy-Efficient MIPS CPU Core with Fine-Grained Run-Time Power Gating -- 4: Low-Power Design of Emerging Memory Technologies -- II: Energy-Efficient Storage -- 5: Reducing Delays Associated with Disk Energy Management -- 6: Power-Efficient Strategies for Storage Systems: A Survey -- 7: Dynamic Thermal Management for High-Performance Storage Systems -- 8: Energy-Saving Techniques for Disk Storage Systems -- 9: Thermal and Power-Aware Task Scheduling and Data Placement for Storage Centric Datacenters -- III: Green Networking -- 10: Power-Aware Middleware for Mobile Applications -- 11: Energy Efficiency of Voice-over-IP Systems -- 12: Intelligent Energy-Aware Networks -- 13: Green TCAM-Based Internet Routers -- IV: Algorithms -- 14: Algorithmic Aspects of Energy-Efficient Computing -- 15: Algorithms and Analysis of Energy-Efficient Scheduling of Parallel Tasks -- 16: Power Saving by Task-Level Dynamic Voltage Scaling: A Theoretical Aspect -- 17: Speed Scaling: An Algorithmic Perspective -- 18: Processor Optimization for Energy Efficiency -- 19: Energy-Aware SIMD Algorithm Design on GPU and Multicore Architectures -- 20: Memetic Algorithms for Energy-Aware Computation and Communications Optimization in Computing Clusters -- V: Real-Time Systems -- 21: Online Job Scheduling Algorithms under Energy Constraints -- 22: Reliability-Aware Power Management for Real-Time Embedded Systems -- 23: Energy Minimization for Multiprocessor Systems Executing Real-Time Tasks -- 24: Energy-Aware Scheduling and Dynamic Reconfiguration in Real-Time Systems. 25: Adaptive Power Management for Energy Harvesting Embedded Systems -- 26: Low-Energy Instruction Cache Optimization Techniques for Embedded Systems -- Volume 2: Handbook of Energy-Aware and Green Computing -- VI: Monitoring, Modeling, and Evaluation -- 27: Power-Aware Modeling and Autonomic Management Framework for Distributed Computing Systems -- 28: Power Measuring and Profiling: State of the Art -- 29: Modeling the Energy Consumption of Distributed Applications -- 30: Comparative Study of Runtime Systems for Energy-Aware High-Performance Computing -- 31: Tool Environments to Measure Power Consumption and Computational Performance -- 32: BlueTool: Using a Computing Systems Research Infrastructure Tool to Design and Test Green and Sustainable Data Centers -- VII: Software Systems -- 33: Optimizing Computing and Energy Performances in Heterogeneous Clusters of CPUs and GPUs -- 34: Energy-Efficient Online Provisioning for HPC Workloads -- 35: Exploiting Heterogeneous Computing Systems for Energy Efficiency -- 36: Code Development of High-Performance Applications for Power-Efficient Architectures -- 37: Experience with Autonomic Energy Management Policies for JavaEE Clusters -- VIII: Data Centers and Large-Scale Systems -- 38: Power-Aware Parallel Job Scheduling -- 39: Toward Energy-Efficient Web Server Clusters -- 40: Providing a Green Framework for Cloud Data Centers -- 41: Environmentally Opportunistic Computing -- 42: Energy-Efficient Data Transfers in Large-Scale Distributed Systems -- 43: Overview of Data Centers Energy Efficiency Evolution -- 44: Evaluating Performance, Power, and Cooling in High-Performance Computing (HPC) Data Centers -- IX: Green Applications -- 45: GreenGPS-Assisted Vehicular Navigation -- 46: Energy-Aware Mobile Multimedia Computing -- 47: Ultralow-Power Implantable Electronics. 48: Energy-Adaptive Computing: A New Paradigm for Sustainable IT -- X: Social and Environmental Issues -- 49: Evolution of Energy Awareness Using an Open Carbon Footprint Calculation Platform -- 50: Understanding and Exploiting User Behavior for Energy Saving -- 51: Predicting User Behavior for Energy Saving -- 52: Toward Sustainable Portable Computing -- Back Cover. EBL201808 SzGeCERN Computing and Computers BOOK Ranka, Sanjay https://cds.cern.ch/auth.py?r=EBLIB_P_5380638 ebook 201808 n 201834 21 PUBLIC https://catalogue.library.cern/legacy/2635362 BOOK MIGRATED 2635355 SzGeCERN 20181215220130.0 9781119404224 (electronic bk.) electronic version 9781119404187 electronic version 9781119404187 print version oai:cds.cern.ch:2635355 cerncds:BOOK EBL 5173426 eng QA76.76.C672 .M333 2018 794.81536 Sceuas, Nick Create computer games Newark, NJ John Wiley and Sons 2017 261 p ebook Intro -- Title Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Where to Go from Here -- Chapter 1: What Is Game Design? -- Thinking about What Makes Fun Games Fun -- Asking the Right Questions before You Begin -- Creating Your Game on Paper -- Chapter 2: Unity: The Software You'll Use to Build Your Game -- Getting Organized -- Creating a New File -- Understanding How Unity Is Laid Out -- Navigating the Scene -- Creating a Game Object -- Creating and Using Prefabs -- Chapter 3: Creating Level 1 -- Understanding the Importance of Level 1 -- Designing Your First Level -- Creating the Gray-Box Level -- Giving Your Level Objective and Direction -- Chapter 4: Camera, Character, and Controls -- The Three Cs of Game Development -- Creating a Character Stand-In -- Thinking about Code -- Adding Rigidbody Component and Understanding Box Colliders -- Coding Your Player -- Coding Advanced Movement -- Coding Pickup -- Creating Tags and a User Interface -- Coding Your Camera -- Chapter 5: Making Your "Game" into a Game -- Thinking About What a Game Is -- Creating and Coding Your Obstacles -- Creating Respawn Points -- Coding Respawn Points -- Chapter 6: Play Testing -- Defining Play Testing -- Knowing When to Start Play Testing -- Deciding Who Should Play Test Your Game -- Knowing What to Look For -- Handling Feedback -- Finding the Problems in Your Game -- Chapter 7: Fixing and Adjusting Your Game -- Turning Criticism into Construction -- Punishing Your Player Less -- Creating a User Interface Tutorial -- Preventing Wall Climbing with Raytracing -- Chapter 8: Animating in Blender -- Mixing Things Up with Blender -- Downloading Blender -- Opening Blender for the First Time -- Creating a New File in Blender -- Figuring Out the Blender Interface -- Navigating the Interface -- Editing Your Object. Chapter 9: Creating Your Assets -- Thinking about Theme and Style -- Creating Your First Character -- Creating the Enemy Grunt -- Creating an Environmental Hazard -- Creating the Moving Platform -- Creating the Coin Pickups -- Customizing on Your Own -- Chapter 10: Animating Your Characters -- Defining Animation -- Learning Animation -- Animating Your Player Character -- Animating the Enemy Grunt -- Animating the Environmental Hazard -- Animating a Moving Platform -- Animating the Coins -- Chapter 11: Coloring and Lighting Your Game Level -- Changing the Ground Color -- Editing the Environmental Lighting -- Understanding Lighting -- Creating Fog -- Chapter 12: Importing Your Characters into Your Game -- Fixing Your Player Character for Importing into Unity -- Importing Your Player Character into Unity -- Importing the Other Characters and Objects -- Chapter 13: Play Testing (Again) -- Testing the Second Time -- Fixing Your Game -- Wrapping Up the Noticeable Issues -- Chapter 14: Finalizing Your Game -- Creating Multiple Levels -- Resetting the Level -- Exporting Your Game -- Continuing Your Game Design -- About the Author -- End User License Agreement. EBL201808 SzGeCERN Computing and Computers EBL Computer games-Design BOOK Kissner, Rob McCabe, Patrick https://cds.cern.ch/auth.py?r=EBLIB_P_5173426 ebook 201808 n 201834 21 PUBLIC BOOK DELETED 2635218 SzGeCERN 20210421204351.0 9783319486482 electronic version electronic version 9783319486482 print version 9783319486499 electronic version electronic version oai:cds.cern.ch:2635218 cerncds:BOOK EBL 4866519 eng HD9502-9502.5TJ265QC 621.042 Stanek, Wojciech Thermodynamics for sustainable management of natural resources Cham Springer 2017 511 p ebook Green energy and technology Intro -- Contents -- 1 Introduction -- Abstract -- Fundamentals -- 2 Resources. Production. Depletion -- 2.1 Characteristics of Primary Energy Resources -- 2.2 Production and Consumption Trends of Primary Energy -- 2.3 Characteristics of Mineral Resources -- 2.4 Production of the Main Mineral Commodities -- 2.5 Scarcity Assessment of Minerals -- References -- 3 Fundamentals of Exergy Analysis -- Abstract -- 3.1 First and Second Law of Thermodynamics -- 3.1.1 First Law of Thermodynamics (I LT). Energy Balance -- 3.1.2 Energy Efficiency -- 3.1.3 Second Law of Thermodynamics (II LT). Exergy Concept -- 3.2 Exergy Definition, Balance and Exergy Efficiency -- 3.3 Components of Exergy. Calculation of Exergy -- 3.3.1 Kinetic and Potential Exergy -- 3.3.2 Physical Exergy -- 3.3.3 Exergetic value of heat -- 3.3.4 Chemical Exergy -- 3.4 Summary-Energy Versus Exergy -- References -- 4 "Input-Output" Approach to Energy Production Systems -- Abstract -- 4.1 Introduction-State of the Art -- 4.2 Leontief's Input-Output Model and Its Modifications -- 4.3 Linear Mathematical Model of Energy Economy of Industrial Plant -- 4.4 Input-Output Model of Oxy-Fuel Combustion (OFC) Power Plant Integrated with CO2 Capture -- 4.5 Input-Output Model of Energy System of a Complex Building -- 4.6 Conclusions -- References -- 5 Cumulative Calculus and Life Cycle Evaluation -- Abstract -- 5.1 Problems of Local and Global Resources Assessment -- 5.2 Cumulative Energy and Exergy Consumption -- 5.3 Cumulative Emissions of Waste Products -- 5.4 Life Cycle Assessment Approach -- 5.4.1 Characterization Factors of Harmful Substances Potential -- 5.4.2 Cumulative Harmful Potentials -- 5.4.3 Comparative Features of TEC and LCA Analysis -- References -- 6 Thermodynamic Methods to Evaluate Resources -- Abstract -- 6.1 Fundamentals of Chemical Exergy Calculation. 6.2 Mineral Resources Exergy -- 6.3 Nuclear Exergy -- 6.4 Solar Radiation Exergy -- 6.5 Water Resources Exergy -- 6.5.1 Exergy Components of a Water Flow -- 6.5.2 Referent Environment for the Exergy Analysis of Water -- References -- 7 Theory of Exergy Cost and Thermo-ecological Cost -- Abstract -- 7.1 Thermoeconomics and the Thermoeconomic Model -- 7.1.1 Physical Structure -- 7.1.2 Productive Structure -- 7.2 Exergy Cost and the Exergy Cost Theory (ECT) -- 7.2.1 Exergy Cost Theory Propositions -- 7.3 Symbolic Thermoeconomics -- 7.3.1 Productive Structure and the Fuel-Product Table -- 7.3.2 Calculation of Product and Irreversibility -- 7.3.3 The Cost Formation Process of Products and Residues -- 7.4 Theory of Thermo-ecological Cost (TEC) -- 7.4.1 Thermo-ecological Assessment of Rejection of Harmful Substances -- 7.4.2 Minimization of Non-renewable Exergy Depletion -- 7.5 Connection of TEC and Symbolic Thermoeconomics -- References -- 8 The Thermodynamic Rarity Concept for the Evaluation of Mineral Resources -- Abstract -- 8.1 Exergy Evaluation of Mineral Resources -- 8.2 Thanatia: The Baseline for Calculating the Concentration Exergy of Mineral Resources -- 8.3 The Exergy Replacement Costs -- 8.4 Thermodynamic Rarity -- References -- 9 Externalities Burdening Production Processes and Systems -- Abstract -- 9.1 ExternE Methodology -- 9.1.1 Division of Geographic Area and Concentration of Pollutants -- 9.1.2 Air Dispersion Model -- 9.1.3 Impact of Pollution and the External Cost of Polluting -- 9.2 Application of Harmfulness Coefficients to Thermo-ecological Cost -- 9.2.1 Thermo-ecological Simplified Evaluation of Waste Products -- 9.3 External Cost of Pollutants from Power Plant in Olsztyn City in Poland -- 9.3.1 Components of External Cost -- 9.4 Modified Thermo-ecological Cost Based on Harmfulness Coefficients -- References -- Applications. 10 Computable Examples of the Application of "Input-Output" Models of Energy Production Systems -- Abstract -- 10.1 Introduction -- 10.2 Input-Output Model of Energy Economy of Ironworks -- 10.3 Example of Systems Analysis of the Application of Evaporative Cooling in the Heating Furnaces -- 10.4 Evaluation of System Effects Due to the Change of Oxygen Purity from 95 to 99% in an Integrated Oxy-Fuel Combustion Power Plant -- 10.5 An Example of Systems Analysis of Energy Economy of a Complex Building -- 10.6 Conclusions -- References -- 11 Application of Thermo-ecological Cost (TEC) as Sustainability Measure for Useful Products -- Abstract -- 11.1 Thermo-Ecological Cost of Hard Coal with Inclusion of the Whole Life Cycle Chain -- 11.2 TEC of Heat and Electricity -- 11.3 TEC of Nuclear Power Plant Life Cycle -- 11.4 Exergy and Thermo-Ecological (TEC) Evaluation of Industrial Systems -- 11.5 Example of Thermo-Ecological Optimization-The Case of Solar Collector -- 11.6 Pro-ecological Exergy Tax of Electricity -- References -- 12 Integrating the Thermo-ecological and Exergy Replacement Costs to Assess Mineral Processing -- Abstract -- 12.1 TERC: Integration of Thermo-Ecological Cost and Exergy Replacement Cost -- 12.1.1 Fuel and Mineral Part of the Thermo-Ecological Cost -- 12.2 TERC Applied to the Mineral Production Processes -- 12.2.1 Results and Conclusions -- References -- 13 Application of Thermo-economic Analysis (TEA) to Industrial Ecology (IE) -- Abstract -- 13.1 Introduction to IE Concept -- 13.2 Algorithm for the Assessment of Local and Global Savings of Resources -- 13.3 System Definition and Exergy Analysis -- 13.4 Thermo-Economic Analysis -- 13.5 Conclusion -- References -- 14 Assessment of Water Resources by Exergy Cost -- Abstract -- 14.1 Exergy Cost of Water Technologies -- 14.1.1 Exergy Cost of Pumping. 14.1.2 Exergy Cost of Desalination Technologies -- 14.2 Exergy Value of the Hydrologic Cycle -- 14.2.1 Exergy Replacement Cost of Worldwide Water Resources -- 14.2.1.1 Exergy Cost Assessment of Annual Renewable Fresh Water Resources -- 14.2.1.2 Exergy Cost Assessment of Annual Water Withdrawal -- 14.2.2 Exergy Value of Ice Caps and Glaciers -- 14.2.2.1 Exergy Replacement Cost of the World Ice Sheets and Glaciers -- 14.3 Exergy Evaluation of River Watersheds: Physical Hydronomics -- 14.3.1 Background: Water Policy and Regulation in Europe -- 14.3.2 Steps of the Physical Hydronomics Methodology -- 14.3.3 Applications -- 14.3.3.1 Testing the Plan of Measures Proposed in River Management Plans -- 14.3.3.2 Assessment of Restoration Costs Defined in WFD -- 14.3.3.3 Allocation of Costs Among Users -- 14.3.4 Case Studies Already Evaluated -- 14.3.4.1 Internal Basins of Catalonia -- 14.3.4.2 The Ebro River -- 14.3.4.3 European Approach -- References -- 15 Exergo-ecological Assessment of Multi-generation Energy Systems -- Abstract -- 15.1 Exergo-ecological Evaluation of Adsorption Chiller System -- 15.2 Thermo-ecological Assessment of CCHP Plant Supported with Renewable Energy -- 15.3 Thermoecological Evaluation of a Natural Gas Expansion Plant Integrated with a Gas Engine Based Co-generation Module -- References -- 16 Thermo-ecological Evaluation of Advanced Coal-Fired Power Technologies -- Abstract -- 16.1 Introduction -- 16.2 Thermo-ecological Assessment Mathematical Models of the OFC Power Plants -- 16.2.1 Cumulative Energy Consumption -- 16.2.2 Thermo-ecological Cost -- 16.2.3 Cumulative CO2 Emission -- 16.2.4 Input Data for the Thermo-ecological Evaluation of the OFC Power Plants -- 16.3 Exemplary Thermo-ecological Evaluation Results -- 16.4 Conclusions -- Acknowledgements -- References. 17 Cumulative Green-House Gasses (GHG) Emissions as Total Measure of Global Warming Potential -- Abstract -- 17.1 Climate Change and Global Warming Potential -- 17.2 Algorithm to Determine Cumulative GHG Emissions -- 17.3 Description of the Analysed Natural Gas Transportation System -- 17.4 Results of Analysis for Fuels -- References -- 18 Thermo-ecological System Analysis as a Tool Supporting the Analysis of the National Energy and Environmental Policy -- Abstract -- 18.1 Introduction -- 18.2 Energy Security -- 18.3 EU Energy Policy -- 18.4 Polish Energy Policy up to the Year 2030 as an Example of Member Country Energy Strategy -- 18.5 Improvement of the Energy Effectiveness -- 18.6 Index of Thermo-Ecological Cost-a Measure of the Energo-Ecological Impact of Energy Consumption -- 18.7 Results of Thermo-Ecological Analysis and Discussion -- 18.8 Conclusions -- Acknowledgements -- References. EBL201808 SzGeCERN Engineering BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4866519 ebook 201808 n 201834 21 PUBLIC https://catalogue.library.cern/legacy/2635218 BOOK MIGRATED 2635203 SzGeCERN 20200325223046.0 9781634824927 electronic version electronic version 9781634824927 print version 9781634827331 electronic version electronic version oai:cds.cern.ch:2635203 cerncds:BOOK EBL 4586109 eng TJ217.2.C483 2015 519.6 Chen, Bor-Sen H∞ robust designs and their applications to control, signal processing, communication, systems and synthetic biology Hauppauge Nova Science Publishers 2015 453 p ebook Systems biology - theory, techniques and applications Intro -- H∞ ROBUST DESIGNS AND THEIRAPPLICATIONS TO CONTROL, SIGNALPROCESSING, COMMUNICATION,SYSTEMS AND SYNTHETIC BIOLOGYAN INTEGRATED COURSE FORENGINEERING,MATHEMATICS,AND BIOSCIENCE -- H∞ ROBUST DESIGNS AND THEIRAPPLICATIONS TO CONTROL, SIGNALPROCESSING, COMMUNICATION,SYSTEMS AND SYNTHETIC BIOLOGYAN INTEGRATED COURSE FORENGINEERING,MATHEMATICS,AND BIOSCIENCE -- Contents -- Preface -- Chapter 1Introduction to H1 Robust Designs -- Abstract -- Introduction -- 1.1. Review of Nonlinear H1 Control -- 1.2. Review of H1 Robust Design in Control, Signal Processingand Communication -- 1.3. H1 Robust Design in Systems and Synthetic Biology -- 1.4. Conclusion -- References -- Chapter 2Mathematical Background -- Abstract -- Introduction -- 2.1. Banach and Hilbert Spaces in the Complex Domain -- 2.2. The Lebesgue Spaces in the Time Domain -- 2.3. Hardy Space in the Frequency Domain -- 2.4. Conclusion -- References -- Chapter 3Linear H1 Robust Control Design -- Abstract -- Introduction -- 3.1. H1 Robust Control Design in the Frequency Domain -- 3.2. H1 PID Control Design in the Frequency Domain -- Fitness and Cost function -- 3.3. Linear H1 Robust Control Design:A State Space Approach -- Mixed H2/H1 Control Design in State Space Systems -- Observer-based H1 Control Design Case -- 3.4. Linear Stochastic H1 Control Design -- 3.5. Conclusion -- References -- Chapter 4Nonlinear H1 Robust ControlDesign -- Abstract -- Introduction -- 4.1. On the General H1 Robust Control of Nonlinear Systems -- 4.2. Stochastic Nonlinear H1 Control Design -- 4.3. H1 Robust Control Design via T-S Fuzzy Approach -- Design Procedures -- Design Example of H1 robust control[2] -- 4.4. Mixed H2/H1 Fuzzy Output Feedback Control Design forNonlinear Dynamics Systems -- Design Example of mixed H2/H1 Fuzzy Control:[3] -- 4.5. H1 Robust Tracking Control of Nonlinear Systems -- 4.6. Conclusion. References -- Chapter 5H1 Robust Control Designs forMissile Guidance and 11-DOFHumanoid Robot -- Abstract -- Introduction -- 5.1. Robust H1 Missile Guidance Controls Design with Saturation of Actuators -- 5.1.1. Plant Modeling and Design Objective -- 5.1.2. Nonlinear H1 Guidance Design via Fuzzy Model Method -- 5.1.3. Simulation Example -- A. Comparisons of Control Efforts -- C. Robustness -- 5.1.4. Discussion -- 5.2. Adaptive H1 Tracking Control Design of Robotic Systems -- 5.2.1. Preliminary -- A. Model Description for Robotic Systems -- B. Problem Formulation with Nonlinear H1 Tracking Performance -- 5.2.2. Adaptive Neural Network-based H1 Control for Robotic SystemsBased -- 5.2.3. Construction of a Simple Design Algorithm -- Design Algorithm -- 5.2.4. A Simulation Example -- 5.2.5. Discussion -- 5.3. Robust H1 Walking Control of 11-DOF Humanoid Robotvia Neural Fuzzy Network Tracking ControlA -- 5.3.1. The 11-link Humanoid Robot Model -- Human WalkingMovementTo -- B. Disturbances Encountered in Human Walking -- Ground Reaction Force -- Impulse -- Electromyo-noise -- C. Robot Dynamics with disturbances -- Stage (a) of Walking Cycle (Figure 5.24(a))The dynamic model -- Stage (b) ofWalking Cycle (Figure 5.24(b))Based on the -- Stage (c) ofWalking Cycle (Figure 5.24(c))As shown in -- Stage (d) ofWalking Cycle (Figure 5.24(d))The final stage -- 5.3.2. Robust AdaptiveH1 Tracking Control DesignIn -- Problem formulationThe -- 5.3.3. Simulation of Humanoid Robot Locomotion -- 5.3.4. Discussions -- 5.4. Conclusion -- References -- Chapter 6Robust H1 Estimation and FilterDesign for Signal Processing -- Abstract -- Introduction -- 6.1. Linear H2/H1 Filter Design -- 6.2. Mixed H2/H1 Filter Design in Multirate TransmultiplexerSystems: State Space Approach -- 6.2.1. H1 Filter design -- 6.2.2. H2 Filtering Design -- 6.2.3. Mixed H2/H1 Filter Design. 6.3. Robust H1 Filter Design for Stochastic Partial DifferentialSystems via a Set of Sensor Measurements -- 6.3.1. Implementable H1 Filter for Linear Stochastic Partial DifferentialSystems -- 6.3.2. Simulation Example -- 6.3.3. Discussion -- 6.4. Robust H2/H1 Global Linearization Filter Design forNonlinear Stochastic Systems -- 6.4.1. H1 Setting for Nonlinear Stochastic System -- 6.4.2. Global Linearization Design for H1 Filter of Nonlinear StochasticSystems -- Design Procedure 1 -- 6.4.3. Suboptimal Mixed H2/H1 Global Linearization Filter Design -- Design Procedure 2 -- 6.4.4. Simulation Example -- 1) Design 1: Optimal H1 Global Linearization Filter Design -- 2) Design 2: Suboptimal Mixed H2/H1 Global Linearization Filter Design -- 6.4.5. Discussion -- 6.5. Conclusion -- References -- Chapter 7H1 Robust Design Application toWireless Communication Systems -- Abstract -- Introduction -- 7.1. Robust and Mixed H2/H1 Filters for Equalization Designof Nonlinear Communication Systems -- 7.1.1. Fuzzy H1 Equalizer Design -- 7.1.2. Fuzzy Mixed H2/H1 Equalizer -- 7.1.3. Simulation Results -- Fuzzy Optimal H1 equalizer -- Fuzzy Mixed H2/H1 Equalizer -- 7.2. Robust H1 Power Control for CDMA CellularCommunication Systems -- 7.2.1. Power Control Model and Problem Description -- Model of Channel -- Model of Receiver -- Model of Transmitter -- State-Space Tracking Error Dynamic Model -- 7.2.2. Robust Power Tracking Control -- 7.2.3. Simulation Results -- 1) Conventional Power Control With Fixed Step Size -- A. ONE POWER CONTROL BIT -- B. TWO POWER CONTROL BITS -- 2) Conventional Power Control With Adaptive Step Size -- 3) Robust H1 Power Control -- A. Effect of Channel Fading and Interference -- B. Effect of Round-Trip DelayNow -- C. Effect on the Outage Probability -- D. Effect of Mobile Users -- E. ComparisonsWith Other Compensation Schemes -- 7.2.4. Discussion. 7.3. Multiobjective H2/H1 Optimal Power Control forInterference LimitedWireless Communication -- 7.3.1. System Model for Closed-loop Power Tracking Control -- A. Interference LimitedWireless Channel Model -- B. Closed-Loop Power Control -- C. Stochastic State-Space Model -- 7.3.2. Problem Formulation -- 7.3.3. Pareto Optimal Solutions to Multi-objective Power Control Design -- A. Concepts of Pareto Optimal Solution [14] -- B. Design Procedure -- 7.3.4. Simulation Results and Discussions -- A. Simulations Settings for Multi-Objective Optimization -- B. Performance of the MO H2/H1 Power Control in a S-CDMACommunication System -- C. Effect on the Outage Probability -- 7.3.5. Discussion -- 7.4. Conclusion -- References -- Chapter 8Application of H1 Robust Theoryto Systems Biology -- Abstract -- Introduction -- 8.1. Trade-off between Intrinsic Robustness, EnvironmentalRobustness and Network Robustness in Systems Biology -- Nonlinear Gene Regulatory Network -- 8.2. Tradeoff between Genetic Robustness, EnvironmentalRobustness and Network Robustness in EvolutionaryBiology -- 8.2.1. Linear Stochastic Evolutionary Gene Regulatory Network -- 8.2.2. Nonlinear Stochastic Evolutionary Gene Regulatory Network -- 8.2.3. Computer Simulation Example -- Discussion -- 8.3. H1 Robust Stabilization of Ecological Network -- 8.3.1. Tradeoff between Intrinsic Robustness, Environmental Robustnessand Network Robustness in Ecological Biology -- Computer Simulation Example -- 8.4. Robust H1 Molecular Circuit Design for Gene Networksunder Biochemical Time-Delays and Molecular Noises -- 8.4.1. Robust Stability and Filtering Ability Analysis for NonlinearStochastic Time-Delayed Gene Networks -- 8.4.2. Robust H1 Gene Circuit Design of Nonlinear Gene Network underProcess Delays and Molecular Noises via Fuzzy Methodology -- Design Procedure. 8.4.3. Computational Design Examples in Silico -- 8.4.4. Discussion -- 8.5. Conclusion -- References -- Chapter 9Application of H1 Robust Designto Synthetic Biology -- Abstract -- Introduction -- 9.1. Trade-off between Intrinsic Robustness GeneticRobustness, Environmental Robustness andNetwork Robustness in Synthetic Biology -- 9.2. Robust Synthetic Gene Network Design via NetworkEvolution -- Network Evolution Algorithm for Synthetic Gene Network (see Figure 9.3). -- 9.2.1. Robust Synthetic Gene Network Design via Library-Based NetworkEvolution -- 9.3. Computer Simulation Example -- 9.4. Robust H2/H1 Optimal Reference Tracking DesignMethod for Stochastic Synthetic Biology Systems -- 9.4.1. Stochastic Synthetic Gene Network Model with Intrinsic ParameterFluctuations, Uncertain Interactions with Unknown Molecules, andExternal Disturbances -- 9.4.2. Robust Synthetic Gene Network Design via Design Specifications -- 9.4.3. Robust Optimal Reference-Tracking Design of Synthetic GeneNetwork -- Design procedure -- 9.4.4. Design examples in silico -- 9.4.5. Discussion -- 9.5. Conclusion -- References -- Author Contact Information -- Index -- Blank Page. EBL201808 SzGeCERN Mathematical Physics and Mathematics BOOK Wu, Chia-Chou https://cds.cern.ch/auth.py?r=EBLIB_P_4586109 ebook 201808 n 201834 21 PUBLIC BOOK DELETED 2635194 SzGeCERN 20210421204354.0 9783319011035 electronic version electronic version 9783319011035 print version 9783319011042 electronic version electronic version oai:cds.cern.ch:2635194 cerncds:BOOK EBL 4178144 eng TA404.6T50QD95-96QD5 530.42 Melnichenko, Yuri Small-angle scattering from confined fluids applications to energy storage and environmental science Cham Springer 2015 329 p ebook Intro -- Preface -- Contents -- Author Biography -- Abbreviations -- Chapter 1: Basic Definitions and Essential Concepts of Small-Angle Scattering -- 1.1 Interaction of X-Rays and Neutrons with Matter -- Scattering Length -- 1.2 Scattering Vector and Scattering Cross Section -- 1.3 Scattering Length Density and Contrast -- 1.4 Absorption and Transmission of X-Ray and Neutron Beams -- 1.5 Form and Structure Factors -- 1.6 Complementarity of Neutron and X-Ray Scattering Techniques -- References -- Chapter 2: Radiation Sources -- 2.1 Steady State Reactors -- 2.2 Spallation Neutron Sources -- 2.3 Photon Sources -- References -- Further Reading -- Chapter 3: Constant Flux and Time-of-Flight Instrumentation -- 3.1 General Purpose SANS Instrument at HFIR, ORNL -- 3.2 Extended Q SANS Instrument at SNS, ORNL -- 3.3 Perfect Crystal USANS Instrument at NIST -- 3.4 Time-of-Flight USANS at SNS -- 3.5 SAXS and USAXS Instruments at APS, ANL -- References -- Further Reading -- Chapter 4: Sample Environment -- 4.1 Sample Cells for Ambient Conditions -- 4.2 SANS High-Pressure Cells -- 4.3 SAXS High-Pressure Cells -- References -- Further Reading -- Chapter 5: Practical Aspects of Planning and Conducting SAS Experiments -- 5.1 Applying for Beam Time -- 5.2 Choice of the Instrument Configuration -- 5.3 Detector Sensitivity and Instrument Backgrounds -- 5.4 Optimal Sample Thickness, Transmission, and Multiple Scattering -- 5.5 Subtraction of the Sample Background -- 5.6 Data Acquisition Time, Masking, and Radial Averaging -- 5.7 Absolute Calibration -- 5.8 Instrument Resolution -- 5.9 Effective Thickness of Powder Samples -- 5.10 Contrast Variation with Liquids and Gases -- 5.11 Average Scattering Length Density of Multicomponent Samples -- References -- Further Reading -- Chapter 6: Fundamentals of Data Analysis. 6.1 Correlation Functions: Mathematical Form and Geometrical Meaning -- 6.2 Scattering from Two-Phase Random Systems: The Porod Invariant -- 6.3 Asymptotic Behavior: The Porod Law -- 6.4 Radius of Gyration -- 6.5 Asymptotic Behavior: The Guinier Approximation -- 6.6 Structural Parameters of the Two-Phase Porous Medium -- 6.7 Bridging the Asymptotic Behavior: The Unified Scattering Function -- 6.8 Scattering from Fractal Systems and the Polydisperse Spherical Model -- 6.8.1 Scattering from Mass, Surface, and Pore Fractals -- 6.8.2 Polydisperse Spherical Model -- 6.9 Beyond the Two-Phase Model -- 6.9.1 Partial Scattering Functions of Multiphase Systems -- 6.9.2 Scattering Contrast and the Invariant of a Three-Phase System -- 6.9.3 Oscillatory Deviations from the Porod Law -- 6.10 Interrelation Between the Reciprocal and Real Space -- References -- Chapter 7: Structural Characterization of Porous Materials Using SAS -- 7.1 Porous Media for Energy, Environmental, and Biomedical Applications -- 7.2 Porous Silica -- 7.2.1 Porous Vycor Glass -- 7.2.2 Silica Aerogels -- 7.2.3 Porous Fractal Silica -- 7.2.4 Ordered Mesoporous Silica -- 7.3 Porous Carbons -- 7.3.1 Activated Carbons -- 7.3.2 Glassy Carbon -- 7.3.3 Carbon Aerogel -- 7.4 Alumina Membranes -- 7.5 Porous Polymer Monoliths -- 7.6 Ceramics, Alloys, and Composite Materials -- 7.7 Structure of Sedimentary Rocks -- References -- Chapter 8: Neutron and X-Ray Porosimetry -- 8.1 Principles of the Scattering-Based Porosimetry -- 8.2 Structure of Nanoporous Low-Dielectric-Constant Films -- 8.3 Vapor Adsorption in Porous Silica -- 8.3.1 Contrast Matching SANS -- 8.3.2 Synchrotron SAXS -- 8.4 Carbonaceous Materials -- 8.5 Kinetics of Sorption and Desorption -- 8.5.1 Dynamic Micromapping of CO2 Sorption in Coal -- 8.5.2 Vapor Adsorption in MCM-41 -- 8.5.3 Vapor and Water Uptake in Nafion Membranes -- References. Chapter 9: Individual Liquids and Liquid Solutions Under Confinement -- 9.1 Confined Electrolytes -- 9.1.1 Ion Adsorption in Electrolyte Saturated Porous Carbons -- 9.1.2 Ionic Liquids Under Confinement -- 9.2 Detection of the Oil Generation in Hydrocarbon Source Rocks -- 9.3 Cavitation on Hydrophobic Nanostructured Surfaces -- 9.4 Liquid-Liquid Demixing in Mesopores -- 9.5 Supercooled Water in Confined Geometries -- 9.6 Order-Disorder Transitions in Liquid Crystals -- References -- Chapter 10: Supercritical Fluids in Confined Geometries -- 10.1 Specifics of the Supercritical Fluid Adsorption -- 10.2 Density Fluctuations Near the Liquid-Gas Critical Point of Confined Fluids -- 10.3 Adsorption of Supercritical CO2 in Porous Silica -- 10.3.1 Silica Aerogels -- 10.3.2 Porous Fractal Silica -- 10.4 Methane in Porous Carbons -- 10.5 Hydrogen Storage in Activated Carbons -- 10.6 CO2 Sequestration in Coal -- 10.7 Pore Interconnectivity and Accessibility to Fluids in Coal and Shales -- 10.8 Structural Stability of Porous Materials Under Pressure -- Appendix: Derivation of the Eq. (10.23) for Accessible Porosity -- Porod Invariant -- Porod Invariant and Parseval´s Formula -- From Porod Invariant to Eq. (10.23) -- References -- Index. EBL201808 SzGeCERN Engineering BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4178144 ebook 201808 n 201834 21 PUBLIC https://catalogue.library.cern/legacy/2635194 BOOK MIGRATED 2635192 SzGeCERN 20210202231112.0 9783319225142 electronic version electronic version 9783319225142 print version 9783319225159 electronic version electronic version oai:cds.cern.ch:2635192 cerncds:BOOK EBL 4091110 eng HD1401-2210.2HD69.P7 621.30954 Sagebiel, Julian Enhancing energy efficiency in irrigation a socio-technical approach in South India Cham Springer 2015 129 p ebook SpringerBriefs in environmental science Intro -- Foreword -- Preface -- Acknowledgments -- Contents -- About the Authors -- Part I Background -- 1 Introduction -- Abstract -- References -- 2 Background of the Agricultural Power Supply Situation in India and Andhra Pradesh -- Abstract -- 2.1 History of the Indian Power Sector -- 2.2 Structure of the Power Sector in India -- 2.3 The Vicious Circle of Agricultural Power Supply -- References -- 3 Strategies and Existing Projects -- Abstract -- 3.1 Recent and Ongoing Projects in India -- 3.1.1 Public and State-Level Projects -- 3.1.2 Foreign Development Cooperation Projects -- 3.1.3 Research and Development Projects -- 3.1.4 Community-Driven Projects -- 3.1.5 Summary -- 3.2 Discussion of Various Implementation Strategies -- 3.2.1 Low-Cost Versus High-Cost Solutions -- 3.2.2 Technical Solutions and Institutional Requirements -- References -- 4 Technical Background -- Abstract -- 4.1 Introduction -- 4.2 Electricity Infrastructure -- 4.2.1 Generation -- 4.2.2 Transmission -- 4.2.3 Distribution -- 4.3 Agricultural Pumpsets -- 4.4 Power Factor and Capacitors -- References -- Part II Pilot Project -- 5 Introduction -- Abstract -- 6 Project Overview -- Abstract -- 6.1 Partners -- 6.2 Pilot Project Region -- 6.3 Aims and Stakeholders -- 6.4 Technical Approach -- 6.5 Social Approach -- Reference -- 7 Project Steps in Detail -- Abstract -- 7.1 Preparation and Planning Phase -- 7.1.1 Rationale for Choice of Intervention -- 7.1.2 Selection of Feeders -- 7.1.3 Social Survey -- 7.1.4 Technical Survey -- 7.2 Implementation Phase -- 7.2.1 Initial Capacitor Selection -- 7.2.2 Farmer Awareness-Raising Meetings -- 7.2.3 Capacitor Installation -- 7.2.4 Establishing Farmer Committees -- 7.2.5 Cooperation with CESS -- 7.2.6 Major Issues of Phase I -- 7.3 Evaluation Phase -- 7.3.1 Rationale -- 7.3.2 Technical Evaluation Methods -- 7.3.2.1 Sequential Method. 7.3.2.2 Batch-Wise Method -- 7.3.2.3 Comparison of Methods -- References -- 8 Results -- Abstract -- 8.1 Evaluation Results -- 8.1.1 Pumpset and DTR Measurement Results -- 8.1.2 Marginal Abatement Cost Analysis -- 8.2 Observations from the Field -- 8.2.1 Social Implementation -- 8.2.2 Technical Implementation -- Reference -- 9 Upscaling Potential -- Abstract -- 9.1 Regional Upscaling -- 9.2 Technical Upscaling -- 9.3 Business Models for Upscaling -- 9.4 Political Upscaling -- 10 Conclusions and Outlook -- Abstract -- Appendix I Technical Parameters -- Appendix IITechnical Questionnaire -- Appendix IIIDTRC Constitution and Minutes of Meetings -- Appendix IV Letter of Agreement to Join DTRC. EBL201808 SzGeCERN Engineering BOOK Kimmich, Christian Müller, Malte Hanisch, Markus Gilani, Vivek https://cds.cern.ch/auth.py?r=EBLIB_P_4091110 ebook 201808 n 201834 21 PUBLIC BOOK DELETED 2635175 SzGeCERN 20210421204356.0 9783540769385 electronic version electronic version 9783540769385 print version 9783540769392 electronic version electronic version oai:cds.cern.ch:2635175 cerncds:BOOK EBL 417369 eng QE1-996.5QC801-809QB 538.72 Glaßmeier, K -H Geomagnetic field variations Berlin Springer 2008 222 p ebook Advances in geophysical and environmental mechanics and mathematics This book gives a first overview of the geomagnetic field in general and serves as an introduction to geomagnetism. The chapters review the results of international research aimed at understanding the causes and effects of geomagnetic field variations. EBL201808 SzGeCERN Astrophysics and Astronomy BOOK Soffel, H Negendank, J https://cds.cern.ch/auth.py?r=EBLIB_P_417369 ebook n 201834 21 PUBLIC https://catalogue.library.cern/legacy/2635175 BOOK MIGRATED 2634577 SzGeCERN 20200222231825.0 9780511903977 electronic version electronic version 9780511906725 electronic version electronic version 9780521113601 print version, hardback oai:cds.cern.ch:2634577 cerncds:BOOK eng Q183.9 .O24 2010 502.85 Oberkampf, William L Verification and validation in scientific computing Cambridge Cambridge University Press 2010 Machine generated contents note: Preface; 1. Introduction; Part I. Fundamental Concepts: 2. Fundamental concepts and terminology; 3. Modeling and computational simulation; Part II. Code Verification: 4. Software engineering; 5. Code verification; 6. Exact solutions; Part III. Solution Verification: 7. Solution verification; 8. Discretization error; 9. Solution adaptation; Part IV. Model Validation and Prediction: 10. Model validation fundamentals; 11. Design and execution of validation experiments; 12. Model accuracy assessment; 13. Predictive capability; Part V. Planning, Management, and Implementation Issues: 14. Planning and prioritization in modeling and simulation; 15. Maturity assessment of modeling and simulation; 16. Development and responsibilities for verification, validation and uncertainty quantification; Appendix. Programming practices; Index. "Advances in scientific computing have made modelling and simulation an important part of the decision-making process in engineering, science, and public policy. This book provides a comprehensive and systematic development of the basic concepts, principles, and procedures for verification and validation of models and simulations. The emphasis is placed on models that are described by partial differential and integral equations and the simulations that result from their numerical solution. The methods described can be applied to a wide range of technical fields, from the physical sciences, engineering and technology and industry, through to environmental regulations and safety, product and plant safety, financial investing, and governmental regulations. This book will be genuinely welcomed by researchers, practitioners, and decision makers in a broad range of fields, who seek to improve the credibility and reliability of simulation results. It will also be appropriate either for university courses or for independent study"-- Provided by publisher. EBLlink deleted Roy, Christopher J EBL Science EBL Numerical calculations EBL Computer programs SzGeCERN Computing and Computers BOOK n 201833 21 PUBLIC BOOK DELETED 2634089 20250120183250.0 oai:cds.cern.ch:2634089 cerncds:FULLTEXT CERN-STUDENTS-Note-2018-020 eng Nechaeva, Tatiana AUTHOR|(CDS)2316864 AUTHOR|(SzGeCERN)830361 tatiana.nechaeva@cern.ch Monitoring of environmental parameters in the COMPASS experiment 2018 CERN Geneva 13 Aug 2018 The detector control and monitoring systems (DCS) provide a user interface to control the majority of the hardware parameters of the COMPASS apparatus and ensure that the quality of COMPASS data stays at a high level during data taking. The DCS architecture is composed of three layers. The supervisory layer provides the graphical user interface for accessing and monitoring the hardware parameters. The front-ends layer include the various software drivers specific for each hardware element. It provides the supervisory layer with a common communication interface to access the hardware. The hardware elements (crates, sensors, gas systems, etc.) form the devices layer. The goals of the project were: 1) to add some new sensors connected via Raspberry Pi microcontroller boards installed either in the detector or in the gallery near it to the devices layer, program them in the needed way, embed them the supervisory layer using client/server approach; 2) to compare the performance of different types and brands of sensors and to show, which can be suitable for the precise environmental monitoring as well as for the running in radiation conditions. CERN EDS SzGeCERN Engineering CERN INTNOTE PUBLEP COMPASS NA58 EP CERN. Geneva. EP Department http://cds.cern.ch/record/2634089/files/Monitoring of environmental parameters in theCOMPASS experiment.pdf Access to fulltext 1425719 1402210 tatiana.nechaeva@cern.ch n 201833 12 PUBLIC https://repository.cern/legacy/record/2634089 INTNOTEEPPUBL NOTE MIGRATED 2639655 SzGeCERN 20200503232008.0 9780429943225 electronic version electronic version 9781138598171 print version oai:cds.cern.ch:2639655 cerncds:BOOK EBL 5494643 eng 621.32 Pawade, Vijay B Phosphors for energy saving and conversion technology Milton Chapman and Hall/CRC 2018 253 p ebook Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Author -- Part I: Fundamentals of Atoms and Semiconductors -- 1: Short Review of Atomic and Semiconductor Theory -- 1.1 Atomic Theory -- 1.1.1 Short Overview of Atomic Model and Theory -- 1.1.1.1 Dalton's Atomic Theory -- 1.1.1.2 Rutherford Model -- 1.1.1.3 Bohr Model -- 1.1.1.4 Sommerfeld's Atomic Model -- 1.1.1.5 Free Electron Model -- 1.2 Basics of Semiconductors -- 1.2.1 Properties of Semiconductors -- 1.2.1.1 Electrical Properties -- 1.2.1.2 Optical Properties -- 1.2.2 Energy Bands in Semiconductors -- 1.2.3 Effect of Temperature on Materials -- 1.2.3.1 Insulators -- 1.2.3.2 Semiconductors -- 1.2.3.3 Conductors -- 1.2.3.4 Mobility -- 1.2.3.5 Carrier Concentration -- 1.2.3.6 Conductivity -- 1.2.4 Hole Current -- 1.2.5 Types of Semiconductor -- 1.2.5.1 Intrinsic Semiconductor -- 1.2.5.2 Extrinsic Semiconductor -- 1.2.6 Wide Band Gap Semiconductor -- 1.3 Germanium and Silicon Atoms -- 1.3.1 Germanium (Ge) -- 1.3.2 Silicon (Si) -- 1.3.2.1 Amorphous Silicon -- 1.3.2.2 Polycrystalline Silicon -- 1.3.2.3 Monocrystalline Silicon -- 1.4 Solar Energy and Solar Cells -- 1.4.1 Types of Solar Cell -- 1.4.2 Basics of Solar Cells -- 1.4.2.1 Construction and Operation -- 1.4.2.2 Loss Mechanisms -- 1.5 PV Solar Cells -- 1.5.1 I-V Characterization of PV-Solar Cells -- 1.5.1.1 Short-Circuit Current (ISC) -- 1.5.1.2 Open-Circuit Voltage (VOC) -- 1.5.1.3 Maximum Power (Pmax) -- 1.5.1.4 Fill Factor (FF) -- 1.5.1.5 Efficiency (η) -- 1.5.1.6 Temperature Measurement Considerations -- 1.5.1.7 I-V Curves for Modules -- 1.5.2 Advantages of Si Solar Cells -- References -- Part II: Phosphors-An Overview -- 2: Introduction to Phosphors, Rare Earths, Properties and Applications -- 2.1 Phosphors -- 2.1.1 Luminescence -- 2.1.2 Mechanism of Luminescence -- 2.1.3 Classification of Luminescence. 2.2 Rare Earth Ions -- 2.3 Transitions in Rare Earth Ions -- 2.3.1 Allowed Transitions -- 2.3.2 Forbidden Transitions -- 2.4 Selection Rules -- 2.4.1 Laporte Selection Rule -- 2.4.2 Spin Selection Rule -- 2.4.3 Selection Rule for the Total Quantum Number J -- 2.5 Nature of Bands -- 2.5.1 Sharp Bands -- 2.5.2 Broad Bands -- 2.5.3 Charge Transfer Bands -- 2.6 Photoluminescence Excitation (PLE) and Emission Characteristics of Rare Earth Ions -- 2.6.1 Eu3+ -- 2.6.2 Sm3+ -- 2.6.3 Pr3+ -- 2.6.4 Tb3+ -- 2.6.5 Nd3+ -- 2.6.6 Er3+ -- 2.6.7 Yb3+ -- 2.6.8 Ho3+ -- 2.6.9 Tm3+ -- 2.7 Energy Transfer in Rare Earth Ions -- 2.7.1 Theory of Energy Transfer -- 2.7.2 Excitation by Energy Transfer -- 2.8 Photoluminescence -- 2.8.1 Rare Earth-Activated Phosphor -- 2.9 Classification of Materials -- 2.9.1 Metals -- 2.9.2 Ceramics -- 2.9.3 Polymers -- 2.9.4 Composites -- 2.9.5 Twenty-First-Century Materials -- 2.9.5.1 Smart Materials -- 2.9.5.2 Nanomaterials -- 2.10 Applications of Phosphors -- 2.10.1 Fluorescent Lamps -- 2.10.2 Light-Emitting Diodes (LEDs) -- 2.10.3 Flat Panel Displays (FPDs) -- 2.10.4 Cathode Ray Tubes (CRTs) -- 2.10.5 PV Technology -- 2.10.6 Upconversion Phosphor -- 2.10.7 Downconversion Phosphor -- 2.11 Types of Host Material -- 2.11.1 Tungstates -- 2.11.2 Vanadates -- 2.11.3 Oxides -- 2.11.4 Perovskites -- 2.11.5 Aluminates -- 2.11.6 Borates -- 2.11.7 Silicates -- 2.11.8 Aluminosilicates -- 2.11.9 Fluorides -- 2.11.10 Nitrides -- 2.12 Other Materials for LED Applications -- 2.12.1 Organic LEDs -- 2.12.2 Polymer LEDs -- 2.12.3 Quantum Dots for LEDs -- References -- 3: Synthesis and Characterization of Phosphors -- 3.1 Synthesis of Phosphor Materials -- 3.1.1 Solid-State Method -- 3.1.2 Sol-Gel Method -- 3.1.3 Combustion Method -- 3.1.3.1 Advantages of Combustion Method -- 3.1.4 Precipitation Method -- 3.2 Characterization of Phosphors. 3.2.1 X-Ray Diffraction (XRD) -- 3.2.2 Scanning Electron Microscopy (SEM) -- 3.2.2.1 Fundamental Principles of SEM -- 3.2.3 Transmission Electron Microscopy (TEM) -- 3.2.3.1 Construction and Operation -- 3.2.4 High-Resolution Transmission Electron Microscopy -- 3.2.5 Fluorescence Spectrophotometry -- 3.2.5.1 Mechanism of the Spectrofluorophotometer -- 3.2.6 Decay Time Measurement -- 3.2.6.1 Operating Principle -- 3.2.7 Diffuse Reflectance Method -- 3.2.7.1 Operation -- 3.2.7.2 DRS Study of Phosphors -- 3.2.7.3 Photon Energy -- References -- Part III: Roles of Phosphors -- 4: Phosphors for Light-Emitting Diodes -- 4.1 Origins of Light-Emitting Diodes -- 4.1.1 Principle and Operation -- 4.1.2 Light Emitting Diode Colors -- 4.1.3 Types of Light-Emitting Diode -- 4.1.4 Operation of LEDs -- 4.1.5 I-V Characteristics of LEDs -- 4.2 Semiconductor Materials for LEDs -- 4.2.1 Indium Gallium Nitride -- 4.2.2 Aluminum Gallium Indium Phosphide -- 4.2.3 Aluminum Gallium Arsenide -- 4.2.4 Gallium Phosphide -- 4.3 Types of Phosphor -- 4.3.1 Blue Phosphor -- 4.3.2 Red Phosphors -- 4.3.3 Green Phosphors -- 4.3.4 Yellow Phosphors -- 4.4 Fabrication of White LEDs (WLEDs) -- 4.4.1 Method 1: RGB Method -- 4.4.2 Method 2: UV LED + Yellow Phosphor/RGB Phosphor -- 4.5 Special Features of LEDs -- 4.5.1 Challenges -- 4.5.1.1 Phosphor with Good CRI -- 4.5.1.2 Search for Novel Red Phosphors -- 4.5.1.3 Luminous Flux -- 4.5.1.4 Thermal Stability -- 4.5.1.5 Environmental and Humidity Effects -- 4.5.2 Bioluminescent Materials for LEDs: A New Approach -- 4.5.3 Advantages of LEDs -- References -- 5: Phosphors for Photovoltaic Technology -- 5.1 Role of Rare Earth Phosphors in Photovoltaic Solar Cells -- 5.2 Types of Phosphor -- 5.2.1 Upconversion Phosphors -- 5.2.1.1 Some Reported Upconversion Phosphors -- 5.2.2 Downconversion Phosphor -- 5.2.2.1 Some Reported Work. 5.3 Recent Developments in PV Technology -- 5.3.1 First Generation of Photovoltaics -- 5.3.2 Second Generation of Photovoltaics -- 5.3.3 Third Generation of Photovoltaics -- References -- Part IV: Efficient and Eco-Friendly Technology -- 6: Photovoltaic Cell Response and Other Solar Cell Materials -- 6.1 Solar Photovoltaic Technology -- 6.1.1 Efficiency of Si-Solar Cells -- 6.1.2 Efficiency with Coating of Upconversion/Downconversion (UC/DC) Phosphor Layer -- 6.2 Some Reported Work -- 6.3 Types of Solar Cell -- 6.3.1 Organic Solar Cell -- 6.3.2 Perovskite Solar Cell -- 6.3.3 CdTe/CdS Solar Cell -- 6.4 List of Solar Cell Materials -- 6.5 Summary and Present Scenario of Crystalline Silicon Cells -- References -- 7: Phosphors for Environmentally Friendly Technology -- 7.1 Introduction -- 7.1.1 Types of Renewable Energy Sources -- 7.1.1.1 Solar Energy -- 7.1.1.2 Wind Energy -- 7.1.1.3 Geothermal Energy -- 7.1.1.4 Hydroelectric Energy -- 7.1.1.5 Biomass Energy -- 7.2 Advantages of Phosphors -- 7.2.1 Need for Energy-Saving Technology -- 7.2.1.1 Solid-State Lighting (SSL) Technology -- 7.2.1.2 Environmental and Health Impacts of SSL -- 7.2.2 Energy Conversion Technology -- 7.2.2.1 Si Solar Cell Technology -- 7.2.2.2 Scope and Advantages of Crystalline Silicon (c-Si) Solar Cells -- 7.2.3 Photocatalysts for Wastewater Treatment -- 7.3 Clean Technology: An Economics of Sustainable Development -- 7.3.1 Advances in Urban Life -- 7.3.2 LEDs and Photovoltaics: A Better Alternative in the 21st Century -- 7.3.3 Main Goals of Development -- References -- Index. EBL201809 Engineering SzGeCERN BOOK Dhoble, Sanjay J https://cds.cern.ch/auth.py?r=EBLIB_P_5494643 ebook n 201838 201809 21 PUBLIC BOOK DELETED 2639614 SzGeCERN 20200610213336.0 9781138197343 print version 9781315279596 electronic version electronic version oai:cds.cern.ch:2639614 cerncds:BOOK EBL 5477542 eng TK1005 .A28 2019 621.31/2102855133 Acevedo, Miguel F Introduction to renewable power systems and the environment with R Boca Raton, FL Chapman and Hall/CRC 2018 458 p ebook Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- Author -- Chapter 1: Introduction -- 1.1 Energy and Power -- 1.1.1 Basics of Mechanical Power and Energy -- 1.1.2 Potential Energy -- 1.1.3 Kinetic Energy -- 1.1.4 The Wh Energy Unit -- 1.1.5 Electromagnetic Radiation -- 1.1.6 Thermal Energy: Heat and Temperature -- 1.1.7 Chemical Energy -- 1.1.8 Nuclear Energy -- 1.2 Carbon-Based Power Systems -- 1.2.1 Energy from Hydrocarbon Combustion -- 1.2.2 Carbon, Electricity, and Climate -- 1.2.3 Carbon-Based and Fossil Fuel-Based Power Systems -- 1.2.4 Terminology: Clean, Alternative, Renewable, Green, or Sustainable -- 1.2.5 Electrical Power Sources and Conversion -- 1.2.6 Quantification: Analysis and Modeling -- Exercises -- References -- Chapter 2: Environmental Systems, the Carbon Cycle, and Fossil Fuels -- 2.1 Ecosystems and the Carbon Cycle -- 2.1.1 Ecosystems -- 2.1.2 Primary Productivity and Respiration -- 2.1.3 Secondary and Tertiary Producers: Food Chains -- 2.1.4 Global Carbon Cycle -- 2.2 Carbon Dioxide in the Atmosphere and Global Temperature -- 2.2.1 Increasing Atmospheric CO2 Concentration -- 2.2.2 Exponential Increase -- 2.2.3 Earth's Atmosphere and Energy Balance -- 2.2.4 Global Temperature: Increasing Trend -- 2.2.5 Doubly Exponential Increase -- 2.3 Geologic History and Age of Fossil Fuels -- 2.3.1 Geologic History -- 2.3.2 Radiometric Dating -- 2.3.3 The Quaternary Period and Climate -- 2.3.4 Other Fuels in Sedimentary Deposits -- 2.4 Shortening the Cycle and Sequestering Carbon -- Exercises -- References -- Chapter 3: Fundamentals of Direct Current Electric Circuits -- 3.1 Basics of Electric Circuits -- 3.1.1 Principles of Electrical Quantities -- 3.1.2 Electric Circuits -- 3.2 Relationship between Current and Voltage -- 3.2.1 Ohm's Law -- 3.2.2 Nonohmic -- 3.3 Circuit Analysis Methods. 3.3.1 Kirchhoff's Voltage and Current Laws -- 3.3.2 Combining Circuit Analysis Methods -- 3.3.3 Nodal Analysis -- 3.3.4 Mesh Analysis -- 3.3.5 Superposition -- 3.3.6 Thévenin and Norton Theorems -- 3.4 Modeling Voltage and Current Sources -- 3.4.1 I-V Characteristics -- 3.4.2 A More Complicated Source Model: A PV Cell -- 3.4.3 Power Transfer and Efficiency of Power Transfer -- 3.5 Resistivity, Wires, and Power Loss in the Wire -- 3.6 Measuring Voltages, Currents, and Resistances -- 3.7 Batteries and Electrochemical Cells -- Exercises -- References -- Chapter 4: Thermodynamics -- 4.1 First Law of Thermodynamics -- 4.1.1 State and Path Functions -- 4.1.2 Work and Heat Are Path Functions -- 4.1.3 Statement of the First Law: Conservation of Energy -- 4.1.4 Joule's Experiment -- 4.2 PV Paths and States -- 4.2.1 Ideal Gas Law -- 4.2.2 Internal Energy of a Gas -- 4.2.3 Pressure-Volume Work -- 4.2.4 Reversible and Irreversible Paths -- 4.2.5 Isochoric and Isobaric Paths: Heat Capacities -- 4.2.6 Isothermal Paths -- 4.2.7 Adiabatic Paths -- 4.3 Heat Engine, Cycles, and Carnot Limit -- 4.3.1 Carnot Limit -- 4.3.2 The Ideal Carnot Cycle in the P-v Plane -- 4.3.3 Heat Engine and Electric Power Generation -- 4.3.4 OTEC (Ocean Thermal Energy Conversion) Power Plant -- 4.3.5 Steady Flow -- Exercises -- References -- Chapter 5: Electrical Storage Elements, Basics of AC Circuits, and AC-DC Conversion -- 5.1 Principles of Circuits with Energy Storage Elements -- 5.1.1 Electric Field and Capacitors -- 5.1.2 Magnetic Field and Inductors -- 5.1.3 Energy Relationships in Capacitors and Inductors -- 5.1.4 Transient Response of Capacitors and Inductors -- 5.1.5 Combining Capacitors and Inductors -- 5.1.6 Supercapacitors or Ultracapacitors -- 5.2 Electromechanical Devices -- 5.2.1 Electrical Generator -- 5.2.2 Motor -- 5.3 Basics of AC Systems. 5.3.1 Sinusoidal Waves and Phasors -- 5.3.2 Phasors in Polar and Rectangular Coordinates -- 5.3.3 Phase Difference -- 5.3.4 AC Voltage and Current Relations for Circuit Elements -- 5.4 AC to DC and DC to DC Conversion -- 5.4.1 AC to DC: Rectifier -- 5.4.2 DC-DC Converters -- 5.4.3 Switching Power Supply -- Exercises -- References -- Chapter 6: More Thermodynamics State Functions -- 6.1 Entropy and the Second Law of Thermodynamics -- 6.1.1 Carnot Cycle: Q and T -- 6.1.2 Entropy: A State Function -- 6.1.3 Entropy Change of Isothermal Expansion -- 6.1.4 Carnot Limit and Entropy -- 6.2 The T-s Plane -- 6.2.1 Paths in the T-s Plane -- 6.2.2 Area under the Curve -- 6.2.3 Carnot Cycle in the T-s Plane -- 6.3 Enthalpy and Free Energy -- 6.3.1 Enthalpy -- 6.3.2 Gibbs Free Energy -- 6.3.3 Phase Change -- 6.3.4 Steam-Based Power Generation -- 6.4 Thermochemical Processes -- 6.4.1 Enthalpy of Formation -- 6.4.2 Standard Entropy -- 6.4.3 Gibbs Free Energy -- 6.5 Fuel Cells -- 6.5.1 Current, Voltage, and Power -- 6.5.2 Types of Fuel Cell -- 6.5.3 Hydrogen Production -- Exercises -- References -- Chapter 7: Coal- and Steam-Based Processes -- 7.1 Earth's Atmosphere -- 7.1.1 Vertical Structure -- 7.1.2 Convection -- 7.1.3 Composition and Vertical Structure -- 7.1.4 Air Quality -- 7.1.5 Advection -- 7.2 Coal Characteristics and Types -- 7.3 World Coal Consumption and Reserves -- 7.4 Coal-Fired Power Plants -- 7.4.1 Heat Engine: Rankine Cycle -- 7.4.2 System Efficiency and Heat Rate -- 7.4.3 Coal Consumption and Storage at the Plant -- 7.5 Environmental Impacts of Coal-Fired Power Plants -- 7.5.1 Carbon Emission -- 7.5.2 Cooling Water -- 7.5.3 Other Emissions and Air Quality -- 7.5.4 Sludge Disposal and Repurposing -- 7.6 Carbon Sequestration -- 7.6.1 Absorption/Adsorption Removal -- 7.6.2 Potential Reservoirs, Oil, Gas, and Coal Seams. 7.6.3 Potential Reservoirs: Saline Aquifers -- 7.6.4 Potential Reservoirs: Ocean Bottom -- 7.6.5 Conversion to Stable Materials -- 7.7 Other Steam-Based Systems -- 7.7.1 Nuclear -- 7.7.2 Geothermal -- Exercises -- References -- Chapter 8: Alternating Current (AC) Circuits and Power -- 8.1 Alternating Current (AC) Circuit Analysis Using Impedance -- 8.1.1 AC Voltages and Currents for Simple Circuits -- 8.1.2 Impedance and Admittance -- 8.1.3 Voltage Divider -- 8.1.4 AC Nodal and Mesh Analysis -- 8.2 Instantaneous and Average Power -- 8.3 Root Mean Square (RMS) Voltages and Currents -- 8.4 Instantaneous and Average Power of a Circuit -- 8.5 Complex Power -- 8.6 Power Factor -- 8.6.1 Power Factor Correction -- 8.6.2 Power Factor Correction and Peak Demand -- 8.7 Complex Power Loss in the Line -- 8.8 Inverters and Back-to-Back Converters -- 8.8.1 Inverter -- 8.8.2 Back-to-Back Converter -- Exercises -- References -- Chapter 9: Gas and Liquid Fuels -- 9.1 Natural Gas -- 9.1.1 The Resource -- 9.1.2 Shale Gas and Fracking -- 9.2 Gas-Based Conversion -- 9.2.1 Brayton Cycle: Gas Turbine -- 9.2.2 Brayton Cycle Efficiency -- 9.2.3 Combined Cycles: Increased Efficiency -- 9.2.4 Gas-Fired and Combined Cycle Plants: Environmental Considerations -- 9.3 Internal Combustion Engines -- 9.3.1 Otto Cycle -- 9.3.2 Otto Cycle Efficiency -- 9.3.3 Diesel Cycle -- 9.3.4 Diesel Cycle Efficiency -- 9.4 Oil as Fuel for Power Generation -- 9.4.1 Electricity from Oil -- 9.4.2 Oil as a Resource -- 9.4.3 CO2 Emissions from Oil -- 9.4.4 Fuel Consumption -- 9.5 Alternative or Substitute Gas and Liquid Fuels -- 9.5.1 Converting Coal to Liquid and Gas Fuels -- 9.5.2 Biomass -- 9.5.3 Landfill Gas -- 9.5.4 Biomass Conversion Processes -- 9.5.5 Manure -- 9.5.6 Biodiesel -- 9.5.7 Growing Crops for Fuel -- 9.5.8 Carbon Sequestration: Forest Growth -- 9.5.9 Solar Fuels. 9.6 Alternative Turbines and Combustion Engines -- 9.6.1 Microturbines -- 9.6.2 External Combustion Engines: Stirling Engines -- 9.7 Combined Heat and Power (CHP) -- Exercises -- References -- Chapter 10: Transformers and Three-Phase Circuits -- 10.1 Transformers -- 10.1.1 Magnetic Circuits -- 10.1.2 Field Intensity and Flux Density -- 10.1.3 Transformer Basics -- 10.1.4 Role of Transformers in Transmission and Distribution -- 10.1.5 Single-Phase Three-Wire -- 10.1.6 Transformers and Converters -- 10.1.7 Environmental Impacts of Power Transformers -- 10.2 Three-Phase Power Systems -- 10.2.1 Three-Phase Generator -- 10.2.2 Wye-Wye or Y-Y Connection -- 10.2.3 Power -- 10.2.4 Line-to-Line Voltages -- 10.2.5 Synchronous Generators -- 10.2.6 Other Configurations -- 10.3 Power Quality: Harmonic Distortion -- 10.3.1 Harmonic Distortion Measures -- 10.3.2 Harmonics and Power -- 10.3.3 Harmonics and Three-Phase Systems -- 10.4 AC-DC and DC-AC Converters in Three-Phase Systems -- Exercises -- References -- Chapter 11: Power Systems and the Electric Power Grid -- 11.1 Electric Power Systems: Major Components -- 11.2 Major Components of a Substation -- 11.3 Distribution Bus -- 11.4 Transmission Line Models -- 11.5 Bus Admittance Matrix -- 11.6 Voltage and Current -- 11.7 Basics of per Unit (p.u.) System -- 11.8 Power Flow -- 11.8.1 Matrix Equation -- 11.8.2 Power Flow for a Two-Bus System -- 11.8.3 Generator Connected to an Infinite Bus -- 11.8.4 Newton-Raphson Solution -- 11.9 Demand -- 11.9.1 Daily Regime -- 11.9.2 Weekly Regime -- 11.9.3 Load-Duration Curve -- 11.10 Power Delivery: Environmental Relationships -- 11.11 Other Topics Relevant to the Grid -- Exercises -- References -- Chapter 12: Hydroelectric Power Generation -- 12.1 HYDROELECTRIC POWER: INTRODUCTION -- 12.1.1 Types and Production -- 12.1.2 Hydrologic Cycle and Watersheds -- 12.1.3 Hydrology. 12.1.4 Hydrodynamics and Hydraulics. EBL201809 Engineering SzGeCERN EBL Electric power production-Data processing EBL R (Computer program language) BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5477542 ebook n 201838 201809 21 PUBLIC BOOK DELETED 2639604 SzGeCERN 20191101220447.0 9781138309784 print version 9781315303536 electronic version electronic version oai:cds.cern.ch:2639604 cerncds:BOOK EBL 5477172 eng TK452 .R5749 2018 621.319/24 Roberts, Peter Electrical installation work Milton Routledge 2017 394 p ebook Cover -- Half Title -- Acknowledgements -- Title Page -- Copyright Page -- Table of Contents -- Chapter 1 Health and safety in electrical installation -- Chapter 2 EAL Unit ELEC1/08: Electrical science, principles and technology -- Chapter 3 Environmental protection measures -- Chapter 4 Electrical Installation Methocs, Procecures And Recuirements -- Chapter 5 EAL Unit: QSWC1/01: Starting Work in Construction -- Chapter 6 EAL Unit: QMSA1/01: Managing Study and Approaches to Learning -- Chapter 7 EAL Unit: QPFI1/01: Preparing for an interview -- Synoptic assessment -- Answers to 'Test your knowledge' -- Answers to chapter activities -- Appendix A: Formulas -- Appendix B: Useful websites -- Appendix C: Credibility of information -- Appendix D: Basic grammar -- Glossary of terms -- Index. EBL201809 Engineering SzGeCERN EBL Electric apparatus and appliances-Installation-Textbooks BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5477172 ebook n 201838 201809 21 PUBLIC BOOK DELETED 2639539 SzGeCERN 20200610213336.0 9781138489127 print version 9781351037372 electronic version electronic version oai:cds.cern.ch:2639539 cerncds:BOOK EBL 5472945 eng 519.6 Theodore, Louis Introduction to optimization for chemical and environmental engineers Milton Chapman and Hall/CRC 2018 345 p ebook Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- About the Book -- Authors -- Part I: Optimization Fundamentals and Principles -- 1: Optimization Overview -- 1.1 History of Optimization -- 1.2 The Computer Age -- 1.3 The Scope of Optimization -- 1.4 Conventional/Established Optimization Procedures -- 1.5 Contemporary Optimization: Linear Programming -- References -- 2: Mathematical Operations -- 2.1 The Quadratic Equation -- 2.2 Interpolation and Extrapolation -- 2.3 Significant Figures and Approximate Numbers1 -- 2.4 Errors -- 2.5 Differentiation -- 2.6 Numerical Integration -- 2.6.1 Trapezoidal Rule -- 2.6.2 Simpson's Rule -- 2.7 Simultaneous Linear Algebraic Equations -- 2.7.1 Gauss-Jordan Reduction -- 2.7.2 Gauss Elimination -- 2.7.3 Gauss-Seidel Approach -- 2.8 Nonlinear Algebraic Equations -- 2.9 Ordinary Differential Equations -- 2.10 Partial Differential Equations -- 2.10.1 Parabolic PDE -- 2.10.2 Elliptical PDE -- References -- 3: Perturbation Techniques -- 3.1 One Independent Variable -- 3.2 Two Independent Variables -- 3.3 Three Independent Variables -- References -- 4: Search Methods -- 4.1 Interval Halving Method -- 4.2 The Bisection Method -- 4.3 The Golden Section Method -- 4.4 Method of Steepest Ascent/Descent -- References -- 5: Graphical Approaches -- 5.1 Rectangular Coordinates -- 5.1.1 Quadrants -- 5.1.2 Linear versus Non-Linear -- 5.1.3 Intercepts -- 5.2 Logarithmic-Logarithmic (Log-Log) Coordinates -- 5.3 Semi-Logarithmic (Semi-Log) Coordinates -- 5.3.1 Plotting Straight Lines on Semi-Logarithmic Paper -- 5.3.2 Other Graphical Coordinates -- 5.4 Methods of Plotting Data -- 5.5 Applications -- References -- 6: Analytical Methods -- 6.1 Breakeven Considerations -- 6.2 One Independent Variable -- 6.3 General Analytical Formulation of the Optimum -- 6.4 Two Independent Variables. 6.5 Three Independent Variables -- References -- 7: Linear Programming -- 7.1 Definitions -- 7.2 Basic Concepts of Optimization -- 7.3 Applied Mathematical Concepts in Linear Programming -- 7.4 Applied Engineering Concepts in Linear Programming -- 7.5 Other Real-World Applied Concepts in Linear Programming -- References -- Part II: Environmental Engineering Applications -- 8: Air Pollution Management -- 8.1 Outdated Air Pollution Control Device -- 8.2 Coal-Fired Power Plant Options -- 8.3 Particulate Control Equipment Options -- 8.4 Recovering Dust -- 8.5 Incinerating Mercury-Contaminated Waste -- 8.6 Optimizing Incinerator Performance -- References -- 9: Water Pollution Management -- 9.1 Break-Even Point Operation -- 9.2 Wastewater Treatment Equipment Options -- 9.3 Water Disinfection Options -- 9.4 Water Plant Operation -- 9.5 Generating Waste Revenues from Waste Streams -- 9.6 Membrane Construction Costs -- References -- 10: Solid Waste Management -- 10.1 Solid Waste Treatment -- 10.2 Cement Kiln versus Rotary Kiln Incinerator -- 10.3 Sludge Waste Receiving Tank Size -- 10.4 Discounted Cash Flow Application -- 10.5 Maximum Mercury Waste Emission Constraints -- 10.6 Structural Considerations of Concrete Mix -- References -- 11: Health Risk Assessment -- 11.1 Minimum Purging Time for a Vessel to Permit Entry -- 11.2 Minimizing the Cost of Cancer-Fighting Drugs -- 11.3 Reducing Insurance Costs -- 11.4 Reducing Health Concerns Associated with Flue Gas Emissions -- 11.5 Vitamin Caloric and Protein Requirements -- 11.6 Pharmaceutical Cancer Drug -- References -- 12: Hazard Risk Assessment -- 12.1 Safety Expenditures versus Return of Safety Investments -- 12.2 Plant Safety Proposal Comparisons -- 12.3 Effect of Failure Distribution Rate -- 12.4 Estimating the Effect of Worst-Case Explosions1,4 -- 12.5 Economics of Fire Protection Equipment. 12.6 Optimizing the Operation of a Cement Incinerator -- References -- Part III: Chemical Engineering Applications -- 13: Fluid Flow Applications -- 13.1 Fan Selection -- 13.2 Pump Selection -- 13.3 Pipe Diameter Selection -- 13.4 Two-Stage Compressor -- 13.5 Ventilation Models -- 13.6 Three-Stage Compressor -- References -- 14: Chemical Reactor Applications -- 14.1 Comparing a Continuous Stirred Tank Reactor to a Tubular Flow Reactor Performance -- 14.2 Optimizing Fluidized-Bed Reactor Performance -- 14.3 Two Reactors in Series: Achieving Maximum Conversion -- 14.4 Maximizing Selectivity -- 14.5 Optimizing Batch Reactor Performance -- 14.6 Optimizing Operating Schedules -- References -- 15: Mass Transfer Applications -- 15.1 Optimum Reflux Ratio -- 15.2 Optimizing a Filter Press Operation -- 15.3 Optimizing Production Rates -- 15.4 Process and Equipment Modifications5 -- 15.5 Economic Analysis for an Absorber versus an Extractor -- 15.6 Processing Crude Oil -- References -- 16: Heat Transfer Applications -- 16.1 Steam Options -- 16.2 Optimum Insulation Thickness -- 16.3 Selecting the Most Profitable Exchanger -- 16.4 Critical Insulation Thickness -- 16.5 Recovering Quality Energy -- 16.6 Maximizing Profit through Energy Recovery -- References -- 17: Plant Design Applications -- 17.1 Shipping Facilities -- 17.2 Tank Farms -- 17.3 Cyclone Selection and Design -- 17.4 Minimizing the Cost of a Batch Plant Operation3,4 -- 17.5 Ventilation Models with System Variables -- 17.6 Plant Structure Design5 -- References -- Part IV: Select Optimization Applications -- 18: Select Environmental Engineering Applications -- 18.1 Air Management -- 18.2 Water Management -- 18.3 Solid Waste Management -- 18.4 Health Risk Assessment -- 18.5 Hazard Risk Assessment -- 18.5.1 DRaT II Model -- 18.5.2 DRaT IV Model -- 18.5.3 DRaT V Model -- References. 19: Select Chemical Engineering Applications -- 19.1 Fluid Flow -- 19.2 Chemical Reactors -- 19.3 Mass Transfer Operation -- 19.4 Heat Exchangers -- 19.5 Plant Design -- References -- 20: Advanced Optimization Term Projects -- 20.1 Sulfuric Acid Process -- 20.2 Optimum Indoor Ventilation Flow Rates -- 20.3 Fluid Transportation System1 -- 20.4 Mass Transfer Application1 -- References -- Index. EBL201809 Mathematical Physics and Mathematics SzGeCERN BOOK Behan, Kelly https://cds.cern.ch/auth.py?r=EBLIB_P_5472945 ebook n 201838 201809 21 PUBLIC BOOK DELETED 2639526 SzGeCERN 20181005224058.0 9780128041093 (electronic bk.) electronic version electronic version 9780128040690 9780128040690 print version oai:cds.cern.ch:2639526 cerncds:BOOK EBL 5452786 eng QD941 .A557 2018 530 Wu, Ning Anisotropic particle assemblies synthesis, assembly, modeling, and applications Saint Louis, MO Elsevier 2018 368 p Front Cover -- Anisotropic Particle Assemblies: Synthesis, Assembly, Modeling, and Applications -- Copyright -- Contents -- Contributors -- Chapter 1: Recent advances in the synthesis of anisotropic particles -- 1.1. Introduction -- 1.2. Anisotropic Organic Particles -- 1.3. Anisotropic Polymeric Particles -- 1.3.1. Controlled Deformation -- 1.3.2. Swelling and Phase Separation -- 1.3.3. Geometrical Confinement -- 1.3.4. Self-Assembly of Block Co- and Terpolymers -- 1.3.5. Replication -- 1.3.6. Lithography Techniques -- 1.3.7. Fluidic Processes -- 1.4. Anisotropic Hybrid Particles -- 1.4.1. Hybrid Polymeric/Inorganic Particles -- 1.4.1.1. Electrostatic interactions -- 1.4.1.2. Fluidic processes -- 1.4.1.3. Seeded polymerization -- 1.4.1.4. Geometrical confinement -- 1.4.2. Hybrid Dielectric/Metal Particles -- 1.4.2.1. Epitaxial growth -- 1.4.2.2. Surface modification -- 1.4.2.3. Masking and templating -- 1.4.2.4. Precipitation polymerization -- 1.4.3. Hybrid Metal-Semiconductor Particles -- 1.4.3.1. Heterogeneous nucleation -- 1.4.3.2. Simultaneous growth of both components in the absence of preformed seeds -- 1.4.4. Hybrid Metal-Metal Particles -- 1.4.4.1. Clustering assisted by van der Waals forces -- 1.4.4.2. Heterogeneous nucleation via epitaxial growth -- 1.4.4.3. Heterogeneous nucleation via nonepitaxial growth -- 1.4.4.4. Galvanic displacement -- 1.4.4.5. Growth in a template -- 1.5. Conclusions -- References -- Chapter 2: Shape control in the synthesis of colloidal semiconductor nanocrystals -- 2.1. Introduction -- 2.2. II-VI NCS -- 2.3. VI-IV NCS -- 2.4. III-V NCS -- 2.5. Halide Perovskite NCS -- 2.6. Concluding Remarks -- References -- Chapter 3: On the mechanistic studies of the growth of anisotropic particles (theory and simulation) -- 3.1. Introduction -- 3.2. Anisotropic Crystals Precipitation: Principles. 3.2.1. Crystal Growth Driving Force -- 3.2.2. Particle Morphology: Thermodynamic vs. Kinetic Control -- 3.2.2.1. Equilibrium morphology -- 3.2.2.2. Growth morphology -- 3.2.2.3. Computing particle morphology -- 3.3. Defining, Representing, and Computing Particle Morphologies -- 3.3.1. A Mathematical Definition of Particle Morphology -- 3.3.2. Representing the Morphology Space -- 3.3.2.1. Morphology graph -- 3.3.2.2. Morphology domain -- 3.3.2.3. Shape diagram -- 3.4. Growth Mechanisms and Mechanistic Models -- 3.4.1. Kink Sites: Hot Spots for Growth -- 3.4.2. Diffusion Limited Growth -- 3.4.2.1. Growth rate in the rough regime -- 3.4.3. Layered Growth -- 3.4.3.1. Rate of step propagation -- 3.4.4. Surface Nucleation -- 3.4.4.1. Growth rate dominated by surface nucleation -- 3.4.5. Spiral Growth -- 3.4.5.1. Growth rate in the spiral mechanism -- 3.4.6. Growth Regimes vs. Driving Force -- 3.5. Molecular Models -- 3.5.1. Particle Morphology From Static Molecular Information -- 3.5.1.1. Particle morphology from molecular structure -- 3.5.1.2. Particle morphologies from attachment energy -- 3.5.2. Molecular Dynamics Simulations of Crystal Growth -- 3.5.2.1. Molecular dynamics simulation setup -- Simulation box setup -- 3.5.2.2. On the crystal growth driving force in finite-sized simulations -- Variable driving force -- Geometrical constraints -- 3.5.2.3. MD simulations of growth under a constant driving force -- 3.5.2.4. Growth mechanisms from MD -- Sampling growth events -- Extracting mechanistic information from an atomistic trajectory -- Evolution of the crystal slab -- Evolution of individual crystal layers -- Analysis of the single molecule incorporation in a crystal slab -- 3.5.3. From Mechanisms to Morphology Prediction -- 3.5.3.1. Morphology of Ag nanoparticles in the presence of structure directing agents. 3.5.3.2. Morphology of urea crystals in solution -- 3.5.4. Mesoscopic Simulation Approaches -- 3.5.4.1. Coarse graining of the growth unit -- 3.5.4.2. Three-dimensional partitioning coarse graining -- 3.6. Conclusions -- References -- Further Reading -- Chapter 4: Molecular mimetic self-assembly of anisotropic particles -- 4.1. Molecular Mimesis -- 4.2. Colloid Prototyping With Fixable Emulsions -- 4.2.1. Fixing Exotic Shapes -- 4.2.2. Adopting Exotic Shapes -- 4.3. Generating Anisotropic Seeds -- 4.3.1. Natural Anisotropy -- 4.3.2. Engineered Anisotropy -- 4.4. Driving Forces -- 4.4.1. Entropic Forces -- 4.4.2. Enthalpic Forces -- 4.5. Outlook -- References -- Further Reading -- Chapter 5: Directed assembly of anisotropic particles under external fields -- 5.1. Introduction -- 5.2. Assembly of Anisotropic Particles Under Electric Fields -- 5.2.1. Electric Polarizability of a Spherical Particle and Induced Dipolar Interaction -- 5.2.2. Induced Charge Electroosmosis -- 5.2.3. Assembly of Particles With Geometric Anisotropy -- 5.2.4. Assembly of Particles With Interfacial Anisotropy -- 5.2.5. Compositional Anisotropy -- 5.3. Magnetic-Field-Assisted Assembly -- 5.3.1. Magnetic Dipolar Interaction of Isotropic Particles -- 5.3.2. Assembly of Anisotropic Particles Under a Uniaxial Magnetic Field -- 5.3.3. Biaxial Magnetic Field -- 5.3.4. Triaxial Magnetic Field -- 5.4. Assembly of Anisotropic Particles Induced by Optical Field -- 5.5. Assembly Under Flow Fields -- 5.6. Conclusion and Outlook -- References -- Chapter 6: Computational simulations for particles at interfaces -- 6.1. Introduction and Motivation -- 6.2. Free-Energy Models of Nanoparticle Adsorbed at Interfaces -- 6.3. Molecular Simulations -- 6.4. Multiscale Simulations: From all-atom to Mesoscopic Descriptions -- 6.5. Selected Case Studies. 6.5.1. Atomistic Studies: Properties of Single Nanoparticles at Interfaces -- 6.5.2. Mesoscopic Simulations: From Single-Particle Behavior to Emergent Phenomena -- 6.5.3. Role of Nanoparticles in the Stabilization of Pickering Emulsions -- 6.6. Conclusions -- References -- Further Reading -- Chapter 7: Anisotropic particles at fluid-fluid interfaces (experiment) -- 7.1. Introduction -- 7.1.1. Chemically and Geometrically Isotropic Particles at Fluid Interfaces -- 7.1.2. Repulsive Interactions Between Interface-Trapped Spherical Particles -- 7.1.3. Capillary Interactions -- 7.2. Geometrically Anisotropic Chemically Homogeneous Particles -- 7.3. Spherical and Chemically Anisotropic Janus Particles -- 7.4. Geometrically and Chemically Anisotropic Colloids -- 7.5. Outlook of Anisotropic Building Blocks and Their Assemblies at Fluid Interfaces -- References -- Chapter 8: Theoretical approaches to investigate anisotropic particles at fluid interfaces -- 8.1. Introduction -- 8.2. Adsorption of Single Colloids at Interfaces -- 8.3. Line Tension Effects -- 8.4. Interfacial Deformation Induced by Colloid Anisotropy -- 8.5. Capillary Deformations Induced by External Fields -- 8.6. Interactions Between Particles at Interfaces -- 8.7. Conclusions and Perspectives -- References -- Chapter 9: Design and synthesis of structured particles for next-generation lithium-ion batteries -- 9.1. Introduction -- 9.2. Lithium-Ion Batteries -- 9.3. Anodes for LIBS -- 9.4. Irion Oxide Anisotropic Particles as Electrodes for LIBS -- 9.4.1. 1D Structure -- 9.4.2. 2D Structure -- 9.4.3. 3D Structure -- 9.4.4. Hollow Structure -- 9.4.5. Iron Oxides/Carbon Composites -- 9.5. Summary -- References -- Further Reading -- Chapter 10: Active colloids: Toward an intelligent micromachine -- 10.1. Introduction -- 10.2. Different Types of Active Colloids -- 10.2.1. Magnetophoresis Colloids. 10.2.2. Electrophoresis Colloids -- 10.2.3. Self-Driven Active Colloids -- 10.2.4. Other Active Colloids Systems -- 10.2.4.1. Acoustically powered colloids systems -- 10.2.4.2. Thermally powered colloids systems -- 10.2.4.3. Hybrid active colloids -- 10.3. Applications of Active Colloids -- 10.3.1. Environmental Applications -- 10.3.2. Therapeutic Applications -- 10.3.3. Lab-on-a-Chip Applications -- 10.4. Conclusions and Outlook -- References -- Chapter 11: Noble metal nanoparticles with anisotropy in shape and surface functionality for biomedical applications -- 11.1. Introduction -- 11.2. Nanoparticles With Anisotropy in Shape -- 11.3. Nanoparticles With Anisotropy in Surface Functionality -- 11.4. Outlook -- References -- Chapter 12: Outlook and future directions -- 12.1. Future Directions in Experiments -- 12.1.1. Particle Synthesis -- 12.1.2. Advanced Characterization Tools -- 12.1.3. Force and Potential Measurements -- 12.1.4. Anisotropic Particles in Anisotropic Media -- 12.2. Future Directions in Theory and Numerical Modeling -- 12.2.1. The Reliability of the Force Fields -- 12.2.2. The Inherent Limitations of the Algorithms -- 12.2.3. Limitations in Computing Power -- 12.2.4. Capturing Hydrodynamic Interactions Between Particles -- 12.3. Future Directions Toward Commercialization -- 12.4. Conclusions -- References -- Index -- Back Cover. Lee, Daeyeon Striolo, Alberto https://cds.cern.ch/auth.py?r=EBLIB_P_5452786 ebook 201809 n 201838 ebook EBL Anisotropy EBL201809 SzGeCERN Other Fields of Physics BOOK 21 PUBLIC BOOK DELETED DELETED 2639421 SzGeCERN 20181005224057.0 9781351031561 (electronic bk.) electronic version 9781498721424 electronic version EBL 5330136 eng 610.285 Dhawan, Alok Nanobiotechnology human health and the environment Milton Chapman and Hall/CRC 2018 612 p Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- Editors -- Contributors -- 1. Contemporary Developments in Nanobiotechnology: Applications, Toxicity, Sustainability, and Future Perspective -- 2. Nanotheranostics: Implications of Nanotechnology in Simultaneous Diagnosis and Therapy -- 3. Nanodevices for Early Diagnosis of Cardiovascular Disease: Advances, Challenges, and Way Ahead -- 4. Emerging Trends in Nanotechnology for Diagnosis and Therapy of Lung Cancer -- 5. Surface Modification of Nanomaterials for Biomedical Applications: Strategies and Recent Advances -- 6. Nanoparticle Contrast Agents for Medical Imaging -- 7. Recapitulating Tumor Extracellular Matrix: Design Criteria for Developing Three-Dimensional Tumor Models -- 8. Understanding the Interaction of Nanomaterials with Living Systems: Tissue Engineering -- 9. Nanoparticles and the Aquatic Environment: Application, Impact and Fate -- 10. Iron Nanoparticles for Contaminated Site Remediation and Environmental Preservation -- 11. Solubility of Nanoparticles and Their Relevance in Nanotoxicity Studies -- 12. Nanotechnology in Functional Foods and Their Packaging -- 13. Use of Nanotechnology as an Antimicrobial Tool in the Food Sector -- 14. Interface Considerations in the Modeling of Hierarchical Biological Structures -- Index. Singh, Sanjay Kumar, Ashutosh Shanker, Rishi 9781498721424 print version oai:cds.cern.ch:2639421 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5330136 ebook ebook EBL201809 Health Physics and Radiation Effects SzGeCERN BOOK n 201838 201809 21 PUBLIC BOOK DELETED 2639384 SzGeCERN 20210421204229.0 9788793519411 electronic version electronic version 9788793519428 print version oai:cds.cern.ch:2639384 cerncds:BOOK EBL 4874779 eng TJ808.H376 2017 005.750286 Salom, Jaume Advanced concepts for renewable energy supply of data centres Aalborg River Publishers 2017 338 p ebook River Publishers series in renewable energy Front Cover -- Half Title Page -- RIVER PUBLISHERS SERIES IN RENEWABLE ENERGY -- Title Page - Advanced Concepts for Renewable Energy Supply of Data Centres -- Copyright Page -- Contents -- Preface -- Acknowledgments -- List of Contributors -- List of Figures -- List of Tables -- List of Symbols and Abbreviations -- Chapter 1 -Data Centre Overview -- 1.1 Data Centre Infrastructure -- 1.1.1 Introduction -- 1.2 Main Subsystems -- 1.2.1 IT Equipment -- 1.2.2 Power System -- 1.2.3 Cooling System -- 1.3 Data Centre Archetypes -- 1.3.1 Function or Objective of the Data Centre -- 1.3.2 Size -- 1.3.3 Location and Surroundings -- 1.3.4 Archetypes Definition -- 1.4 Workload Typology -- 1.4.1 WebWorkloads -- 1.4.2 HPCWorkloads -- 1.4.3 DataWorkloads -- 1.4.4 Consumption versusWorkload Typology -- 1.5 Redundancy Level -- 1.5.1 Basic Definitions -- 1.5.2 Tier Levels -- 1.6 Future Trends -- References -- Chapter 2 - Operational Requirement -- 2.1 Working Temperature Limit -- 2.1.1 Impact of Server Inlet Temperature -- 2.1.2 Permitted Temperatures of Individual Components -- 2.1.3 CPU Power Management and Throttling -- 2.2 Environmental Conditions -- 2.2.1 Temperature and Humidity Requirements -- 2.2.2 Quality of the Room Air -- 2.3 Power Quality -- 2.3.1 Input Voltage within Acceptable Limits -- 2.3.2 Input Frequency within Allowable Ranges -- 2.3.3 Sufficient Input Power to Compensate for Power Factor -- 2.3.4 Transfer to Backup Power Faster than PSU "Hold-up"Time -- 2.3.5 Protection from Damaging Power Conditions -- References -- Chapter 3 - Environmental and Economic Metrics for Data Centres -- 3.1 About Metrics in Data Centres -- 3.2 Data Centre Boundaries for Metrics Calculation -- 3.2.1 Definition of Boundaries -- 3.2.2 Energy Flows -- 3.3 Metrics for Cost-Environmental Analysis -- 3.3.1 Environmental Impact Metrics -- 3.3.1.1 Data Centre primary energy. 3.3.1.2 Data Centre CO2 emissions -- 3.3.1.3 Data Centre water consumption -- 3.3.2 Financial Metrics -- 3.3.2.1 Methodological reference framework -- 3.3.2.2 Global cost -- 3.3.2.3 CAPEX: capital expenditure -- 3.3.2.4 OPEX: operating expenditure -- 3.3.3 Cost-Efficiency Analysis -- 3.4 Energy Efficiency and Renewable Energy Metrics -- 3.4.1 Power Usage Effectiveness (PUE) -- 3.4.2 Renewable Energy Ratio -- 3.4.3 Renewable Energy Factor -- 3.5 Capacity Metrics -- 3.5.1 Introduction -- 3.5.2 Capacity Metrics -- 3.6 Examples -- 3.6.1 Example 1. PV System and Ice Storage -- 3.6.2 Example 2. District Cooling and Heat Reuse -- References -- Chapter 4 - Advanced Technical Concepts for Efficient Electrical Distribution and IT Management -- 4.1 Advanced Technical Concepts for Efficient IT Management -- 4.2 Advanced Technical Concepts for Efficient Electric Power Distribution -- 4.2.1 Introduction -- 4.2.2 Modular UPS -- 4.2.3 Bypassed UPS -- 4.2.4 Enhanced UPS for Electrical Energy Storage -- References -- Chapter 5 - Advanced Technical Concepts for Low-Exergy Climate and Cooling Distribution -- 5.1 Introduction -- 5.2 Free Cooling -- 5.2.1 Free Cooling with Direct Ambient Air -- 5.2.2 Free Cooling with Indirect Ambient Air -- 5.2.3 Seawater Air Conditioning System -- 5.2.4 Free Cooling with Groundwater -- 5.3 Increasing Allowable IT Temperatures -- 5.3.1 Increased White Space Temperature with Airside Cooling -- 5.3.2 Increased White Space Temperature with Chilled Water Cooling -- 5.3.3 Increasing the Delta T Through the IT Equipment -- 5.4 Hot or Cold Aisle Containment -- 5.5 Variable Airflow -- 5.5.1 Strategy A: Pressure Difference -- 5.5.2 Strategy B: Actual IT load -- 5.5.3 Strategy C: Return Air Temperature -- 5.6 Partial Load - Redundant or Oversized Components -- 5.6.1 Redundant Components and Oversizing Components -- 5.6.2 Partial Load with Chillers. 5.6.3 Variable Flow with Fans and Pumps -- 5.6.4 Oversizing Dry Coolers and Cooling Towers -- 5.6.5 Energy Savings and Payback Periods -- 5.7 High Energy Efficiency Components -- 5.7.1 Fans and Pumps -- 5.7.2 Air-Cooled Chillers -- 5.7.3 Water-Cooled Chillers -- 5.8 Conclusions -- References -- Chapter 6 - Advanced Technical Concepts for Power and Cooling Supply with Renewables -- 6.1 Introduction -- 6.1.1 Concepts Overview -- 6.1.1.1 Sankey charts analysis -- 6.2 Description of the Proposed Advanced Technical Concepts -- 6.2.1 Photovoltaic System and Wind Turbines with Vapour-Compression Chiller and Lead-Acid Batteries -- 6.2.2 District Cooling and Heat Reuse -- 6.2.3 Grid-FedWet Cooling Tower Without Chiller -- 6.2.4 Grid-Fed Vapour-Compression Chiller with Electrical Energy and Chilled Water Storages -- 6.2.5 Biogas Fuel Cell with Absorption Chiller -- 6.2.6 Reciprocating Engine CHP with Absorption Chiller -- References -- Chapter 7 - Applying Advanced Technical Concepts to Selected Scenarios -- 7.1 Overview of Concept Performance -- 7.2 Concept Comparison for Selected Scenarios -- 7.2.1 Description of Scenarios Analysed -- 7.3 Detailed Analysis by Advanced Technical Concepts -- 7.3.1 Introduction -- 7.3.2 Concept 1. Photovoltaic System and Wind Turbines with Vapour-Compression Chiller -- 7.3.2.1 Influence of energy efficiency measures -- 7.3.2.2 Influence of size -- 7.3.2.3 On-Site renewable energy systems implementation -- 7.3.3 Concept 2. District Cooling and Heat Reuse -- 7.3.3.1 Influence of energy efficiency measures -- 7.3.3.2 Influence of size -- 7.3.3.3 Influence of the liquid cooling solution and the potential heat reuse -- 7.3.4 Concept 3. Grid-FedWet Cooling Tower without Chiller -- 7.3.4.1 Influence of energy efficiency measures -- 7.3.4.2 Influence of EE measures -- 7.3.4.3 Influence of size. 7.3.4.4 On-site PV systems implementation -- 7.3.5 Concept 4. Grid-Fed Vapour-Compression Chiller with Electrical Energy and ChilledWater Storages -- 7.3.5.1 Influence of EE measures -- 7.3.5.2 Influence of size -- 7.3.5.3 Influence of the size of TES -- 7.3.6 Concept 5. Biogas Fuel Cell with Absorption Chiller -- 7.3.6.1 Influence of EE measures -- 7.3.6.2 Influence of size -- 7.3.6.3 Influence of absorption chiller sizes and potential heat reuse -- 7.3.7 Concept 6. Reciprocating Engine CHP with Absorption Chiller -- 7.3.7.1 Influence of EE measures -- 7.3.7.2 Influence of size -- 7.3.7.3 Influence of absorption chiller sizes and potential heat reuse -- 7.4 Other Aspects Influencing Data Centre Energy Consumption -- 7.4.1 Influence of the IT Load Profile -- 7.4.1.1 Influence of the rack density, occupancy, and oversizing factors -- 7.5 The RenewIT Tool -- 7.6 Conclusion -- References -- Annexes -- Index -- About the Editors -- Back Cover. EBL201809 SzGeCERN Computing and Computers BOOK Urbaneck, Thorsten Oro, Eduardo https://cds.cern.ch/auth.py?r=EBLIB_P_4874779 ebook 201809 n 201838 21 PUBLIC https://catalogue.library.cern/legacy/2639384 BOOK MIGRATED 2639307 SzGeCERN 20210421204236.0 9780865878938 print version 9781461732334 electronic version electronic version oai:cds.cern.ch:2639307 cerncds:BOOK EBL 1144109 eng T55.3.B43 -- G448 2001eb 613.62019 Geller, E Scott Beyond safety accountability Rockville, MD Government Institutes 2001 184 p ebook Cover -- Title -- Copyright -- Table of Contents -- Foreword -- How To Use This Book -- Chapter 1 - The Foundation - A Review of Behavior-Based Safety Principles -- Chapter 2 - Safety Accountability Versus Responsibility -- A Personal Story -- From Failure to Synergy -- Relevance to Occupational Safety -- Actively Caring for Safety -- Three Ways to Actively Care -- Caring Directly or Indirectly -- An Illustrative Story -- Chapter 3 - Decrease Top-Down Controls -- Perceptions of Individual Freedom -- Instructive Research -- Eliminate Fault Finding -- Attribution Errors -- Promote Fact Finding -- The Errors of Punishment -- The Information Processing Cycle -- Input Stage -- Interpretation & Decision-Making Stage -- Output Stage -- Slips vs. Mistakes -- Capture Errors -- Description Errors -- Loss-of-Activation Errors -- Mode Errors -- The Role of Experience -- Taking Responsibility for Our Errors -- Punishment and Accountability -- Unconscious Incompetence -- Conscious Incompetence -- The Futility of Punishment -- Context and Accountability -- Context at Work -- Chapter 4 - Increase Feelings of Empowerment -- Hold People Accountable for Numbers They Can Control -- Outcome-Based Accountability -- A Subjective Indicator -- Inconsistent Reporting -- Losing Perceived Control -- Process-Based Accountability -- Safety Goal-Setting -- Setting Goals Incorrectly -- Set SMART Goals -- Practical Examples -- Vision vs. Goal -- Principle of Shaping -- Develop a Comprehensive Accountability System -- What to Measure? -- Evaluating Environmental Conditions -- Evaluating Work Practices -- Evaluating Person Factors -- Accountability for Near Misses -- Accountability for Property Damage -- The Heinrich Ratio -- Chapter 5 - Help People Feel Important -- Increase Opportunities for Choice -- A Laboratory Study -- From Laboratory to Classroom -- Practical Implications. Choice for Corporate Safety -- From Choice to Importance -- A Personal Story -- What is Emotional Intelligence? -- Intrapersonal IQ -- Interpersonal IQ -- Safety, Emotions, and Impulse Control -- Nurturing Emotional Intelligence -- Chapter 6 - Cultivate Belonging and Interpersonal Trust -- Increasing Belonging -- Actively Caring States -- Understanding Interpersonal Trust -- Why the Resistance? -- What is Trust? -- How to Build a Trusting Culture -- Communication -- Caring -- Candor -- Consistency -- Commitment -- Consensus -- Character -- Chapter 7 - Teach and Support Safety Self-Management -- What is Safety Self-Management? -- From Outside to Inside Direction -- From Outside to Inside Motivation -- The Basics -- Getting Started in Safety Self-Management -- Safety as a Value -- An Illustrative Anecdote -- Inconsistent Behavior -- What Consequences? -- The Connection -- The Techniques of Safety Self-Management -- Self-Observing and Recording -- Developing a Self-Observation Checklist -- Using a Self-Observation Checklist -- Intervening for Self-Improvement -- Activator Management -- Self-Statements -- Self-Instruction -- Beliefs -- Interpretations -- Mental Imagery -- Self-Rewards -- Goal-Setting -- Social Support -- Commitment -- A Case Study -- Implications -- Bibliography -- Glossary. Written in an easy-to-read conversational tone, Beyond Safety Accountability explains how to develop an organizational culture that encourages people to be accountable for their work practices and to embrace a higher sense of personal responsibility. The author begins by thoroughly explaining the difference between safety accountability and safety responsibility. He then examines the need of organizations to improve safety performance, discusses why such performance improvement can be achieved through a continuous safety process, as distinguished from a safety program, and provides the practical tools you can use to build personal responsibility in your workplace. EBL201809 Health Physics and Radiation Effects SzGeCERN EBL Industrial safety -- Psychological aspects BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1144109 ebook n 201838 21 PUBLIC https://catalogue.library.cern/legacy/2639307 BOOK MIGRATED 2639305 SzGeCERN 20210421204236.0 9780865871830 print version 9781605902791 electronic version electronic version oai:cds.cern.ch:2639305 cerncds:BOOK EBL 1127675 eng QC24.5 -- .S64 2009eb 530 Spellman, Frank R Physics for nonphysicists Rockville, MD Government Institutes 2009 297 p ebook Science for nonscientists 5 Intro -- Preface -- Introduction -- CHAPTER 1 Measurement -- CHAPTER 2 Force and Motion -- CHAPTER 3 Work, Energy, and Momentum -- CHAPTER 4 Circular Motions and Gravity -- CHAPTER 5 Atoms, Molecules, and Elements -- CHAPTER 6 Thermal Properties and States of Matter -- CHAPTER 7 Wave Motion and Sound -- CHAPTER 8 Light and Color -- CHAPTER 9 Electricity -- Answers to Chapter Problems -- Recommended Reading -- About the Author. Environmental professionals who look beyond their specialties and acquire knowledge in a variety of sciences not only make solving on-the-job problems easier for themselves, but they also increase their employment opportunities. This fifth book in the 'non-specialist' series provides both professionals and students with a clear, concise overview of the most important aspects of physics in a way that anyone, even those who have never taken a formal physics course, can relate to. EBL201809 Physics in general SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1127675 ebook n 201838 21 PUBLIC https://catalogue.library.cern/legacy/2639305 BOOK MIGRATED 2639301 SzGeCERN 20201117212507.0 9781118392058 print version 9781118392072 electronic version electronic version oai:cds.cern.ch:2639301 cerncds:BOOK EBL 1120705 eng RA783.5 .P75 2012 613.6/8 Zuckerman, Jane N Principles and practice of travel medicine 2nd ed. New York, NY John Wiley & Sons 2013 1230 p ebook Intro -- Title page -- Copyright page -- Contributor list -- Preface -- Section I: Travel medicine -- Chapter 1 Trends in travel -- Introduction -- Growth of tourism -- Where are international tourists going? -- Outbound tourism -- The economics of tourism -- Trends in travel types -- Future trends -- Chapter 2 Tourism, aviation and the impact on travel medicine -- Introduction -- The relationship between tourism and travel medicine -- Changing patterns and types of tourism -- The impact of tourism trends on travel medicine -- The impact of aviation trends on travel medicine -- Conclusions -- Chapter 3 Epidemiology of health risks and travel -- Global burden of infectious diseases -- Dimensions of international travel and migration -- Tropical infectious diseases and travel -- Health risks to travellers -- Chapter 4 Fitness to travel -- Introduction -- The traveller's personal health and impact on fitness to travel -- 'Traveller of size' -- Diabetes -- Cardiorespiratory problems -- Food allergies -- Pregnancy -- The elderly traveller -- The epileptic traveller -- Travellers with psychiatric conditions -- The immunocompromised traveller -- Special situations -- Insurance -- Conclusion -- Chapter 5 Management of a travel clinic -- Introduction -- Travel clinic models -- Travel clinic staff -- Information resources -- Travel clinic operations -- Approach to trip risk assessment -- Patient information brochures -- Conclusion -- Section II: Infectious diseases and travel -- Chapter 6 Epidemiology and surveillance of travel-related diseases -- Introduction -- Systematic observations -- Risk estimates -- Detection of sentinel events -- Conclusions -- Chapter 7 Virus infections in travellers -- Viral hepatitis -- Hepatitis A -- Hepatitis B -- Hepatitis D -- Hepatitis E -- Hepatitis C -- HIV and AIDS -- Viral gastroenteritis. Poliomyelitis and other enterovirus infections -- Influenza -- SARS -- Genital herpes -- Rabies -- Yellow fever -- Dengue fever -- Japanese encephalitis, St Louis encephalitis, tick-borne encephalitis and other flavivirus infections -- Japanese encephalitis -- St Louis encephalitis -- Chikungunya -- Tick-borne encephalitis -- Viral haemorrhagic fevers -- Marburg virus disease -- Ebola virus disease -- Lassa fever and arenavirus infections -- Haemorrhagic fevers of South America -- Crimean-Congo haemorrhagic fever -- Chapter 8 Bacterial infections in travellers -- Introduction -- Legionellosis -- Typhoid and paratyphoid fever -- Typhus fevers -- Leptospirosis -- Brucellosis -- Diphtheria -- Relapsing fever -- Melioidosis -- Lyme disease -- Panton-Valentine leucocidin (PVL) strains of Staphylococcus aureus -- Conclusion -- Acknowledgements -- Chapter 9 Vector-borne parasitic diseases -- Introduction -- True vector-borne parasitic diseases -- African trypanosomiasis (sleeping sickness) -- American trypanosomiasis -- Filariasis -- Babesiosis -- Schistosomiasis -- Conclusions -- Acknowledgements -- Chapter 10 Malaria and travellers -- MALARIA -- Malaria clinical features and immunity -- Malaria drug resistance patterns worldwide -- Malaria infection in travellers -- Prevention of malaria in travellers -- Worldwide prophylaxis guidelines -- Treatment of malaria in malaria-endemic countries -- Treatment of imported malaria in travellers -- Future considerations and summary -- Further information for travellers and physicians -- MALARIA CHEMOPROPHYLAXIS -- Malaria prophylaxis: Plasmodium vivax and Plasmodium ovale -- Malaria prophylaxis: Plasmodium malariae -- Malaria prophylaxis: Plasmodium knowlesi -- THE STRATEGY OF STANDBY EMERGENCY SELF-TREATMENT -- Chapter 11 Emerging and re-emerging infectious diseases -- Emerging travel and infectious diseases. Emerging infectious diseases and travel medicine -- Emerging pathogens -- Emerging zoonoses -- Preparedness and response to emerging infectious diseases -- Acknowledgements -- Section III: Prevention and management of travel-related diseases -- Chapter 12 Skin tropical infections and dermatology in travellers -- Introduction -- Diseases caused by parasites, ectoparasites and bites -- Bacterial infections -- Diseases caused by rickettsiae -- Diseases caused by fungi -- Diseases caused by viruses -- General dermatology related to travel -- Conclusion -- Chapter 13 Travellers' diarrhoea -- Introduction -- General considerations -- Aetiology -- Epidemiology -- Risk factors -- Salient clinical features -- Management, treatment and control -- Health advice and protective measures -- Chapter 14 Vaccine-preventable disease -- Immunisation and vaccination -- Administration of vaccines -- Paediatric and adult travel immunisations -- Chapter 15 Returned travellers -- Introduction -- History -- The patient with fever -- Skin disease -- Eosinophilia -- Post-travel check -- Acknowledgements -- Section IV: Hazards of air and sea travel -- Chapter 16 Aviation medicine -- Essentials -- Introduction -- The atmosphere -- Oxygen requirements at altitude -- Hypoxia and hyperventilation -- Effects of reduced atmospheric pressure -- Cabin pressurisation -- Sleep and fatigue -- Motion sickness -- Passenger health -- Conclusion -- Chapter 17 Aviation psychology -- Introduction -- Modern air travel -- Fear of flying -- Passenger behaviour -- Passenger safety -- Jet lag -- Impact of travel on relationships -- Crew mental health -- Air rage -- Aviation security -- Risk-taking behaviour among travellers -- Giving advice to the traveller -- Conclusion -- Chapter 18 Expedition and extreme environmental medicine -- EXPEDITION MEDICINE. Expedition medicine and the role of the medical officer -- Medical kits -- Medical training for remote environments -- Managing medical emergencies in remote environments -- Dealing with death on an expedition -- Building resilience for individuals and teams - handling the pressure of expeditions -- Conclusion -- ALTITUDE MEDICINE -- Altitude physiology -- Acclimatisation -- Altitude illness -- Travel to high altitude with pre-existing medical conditions -- HOT ENVIRONMENTS -- Introduction -- Desert environment -- Jungle environment -- Environmental and ethical issues -- Thermoregulation -- Behavioural and vasomotor changes -- Summary -- POLAR MEDICINE -- Introduction -- Background -- Physiology of cold -- Hypothermia -- Frostbite -- Non-freezing cold injuries -- Sunburn -- Snow blindness -- Dehydration -- Carbon monoxide poisoning -- DIVING MEDICINE -- Introduction -- Diving physics -- Conduct of diving -- Illness caused by diving -- Fitness to dive -- Diving accidents -- Expedition diving -- Casualty evacuation (casevac) plan -- Medical kit -- In-water recompression -- Chapter 19 Travel health at sea: cruise ship medicine -- Introduction -- Planning for a safe and healthy voyage -- Medical care at sea -- Shipboard maladies -- Critical care at sea -- Section V: Environmental hazards of travel -- Chapter 20 Travel-related injury -- Introduction -- Epidemiology -- Case-based approach -- Concluding remarks -- Summary -- Chapter 21 International assistance and repatriation -- Introduction -- Medical transfers -- Physics and physiology of air travel -- Detrimental effects of transport -- Specific hazards and their management during transport -- Transferring patients with special needs -- Other problems -- Equipment -- Aircraft -- Stages of a standard air ambulance transfer -- Guidelines -- Summary -- Chapter 22 Venomous bites and stings -- Introduction. SNAKE BITES -- Venomous snakes -- Avoiding snake bite -- Pathophysiology of snake envenoming -- SCORPION STINGS -- Avoiding scorpion sting -- Clinical features -- Treatment -- SPIDER BITES -- Avoiding spider bite -- Clinical features -- Treatment -- BEE, WASP AND HORNET STINGS -- Clinical features -- Treatment -- FISH STINGS -- Avoiding fish sting -- Clinical features -- Treatment -- JELLYFISH STINGS -- Avoiding jellyfish sting -- Clinical features -- Treatment -- ECHINODERM STING -- CONE SHELLS -- Acknowledgements -- Chapter 23 Ophthalmic conditions in travellers -- Sunlight exposure -- Aircraft travel and the eye -- Ocular changes at altitude -- Diving -- The red eye -- Contact lens wear -- Trauma -- Drugs and toxins -- Specific infections affecting the eyes in travellers -- Blindness: a global problem -- Section VI: Practical issues for travellers -- Chapter 24 Travelling with children (including international adoption issues) -- Introduction -- Malaria and other insect-borne diseases -- Diarrhoea -- Vaccination -- Comfort -- Safety -- Altitude concerns -- Body fluid exposures -- Post-travel screening and care -- Organising the care of paediatric travellers -- Training the next generation -- Conclusion -- Chapter 25 Women's health and travel -- Introduction -- Pre-travel assessment -- Gender-related issues in tropical disease -- Pregnancy -- Cultural and safety issues -- Conclusion -- Chapter 26 The immunocompromised traveller -- Introduction -- NON-HIV-RELATED IMMUNODEFICIENCIES -- Congenital immunodeficiency due to a cellular or humoral immunodeficiency -- Acquired immunodeficiency -- HIV-RELATED IMMUNE DEFICIENCY -- Chapter 27 High-risk travellers -- Introduction -- General advice -- Considerations for all high-risk travellers -- The traveller with diabetes -- Considerations for travellers with other chronic medical conditions. Special considerations for older travellers. This second edition of Principles and Practice of Travel Medicine has been extensively updated to provide a comprehensive description of travel medicine and is an invaluable reference resource to support the clinical practice of travel medicine. This new edition covers the many recent advances in the field, including the development of new and combined vaccines; malaria prophylaxis; emerging new infections; new hazards resulting from travel to long haul destinations; health tourism; and population movements. The chapter on vaccine-preventable diseases includes new developments in licensed vaccines, as well as continent-based recommendations for their administration. There are chapters on the travel health management of high risk travellers, including the diabetic traveller, the immuno-compromised, those with cardiovascular, renal, neurological, gastrointestinal, malignant and other disorders, psychological and psychiatric illnesses, pregnant women, children and the elderly. With increasing numbers of ever more adventurous travellers, there is discussion of travel medicine within extreme environments, whilst the chapter on space tourism may well be considered the future in travel medicine. Principles and Practice of Travel Medicine is an invaluable resource for health care professionals providing advice and clinical care to the traveller. EBL201809 Health Physics and Radiation Effects SzGeCERN EBL Travel - Health aspects EBL Travel -- Health aspects BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1120705 ebook n 201838 201809 21 PUBLIC BOOK DELETED 2639282 SzGeCERN 20210421204239.0 9789811006043 print version 9789811006067 electronic version electronic version oai:cds.cern.ch:2639282 cerncds:BOOK EBL 4512627 eng GE195-199GE196T55.4- 621.988 Muthu, Subramanian Senthilkannan Handbook of sustainability in additive manufacturing v.2 Singapore Springer 2016 120 p ebook Environmental footprints and eco-design of products and processes Intro -- Contents -- Introduction -- 1 Energy Efficiency of Metallic Powder Bed Additive Manufacturing Processes -- Abstract -- 1 Introduction -- 1.1 Challenges of the Powder Bed AM Processes -- 1.2 Structure of the Chapter -- 2 Sustainability and Energy Efficiency of Manufacturing Processes -- 2.1 Sustainability and Additive Manufacturing -- 2.2 Circular Economy and Additive Manufacturing -- 2.3 Sustainability Indicators for AM -- 2.4 Energy Efficiency -- 3 Modelling of Metallic Powder Bed AM Processes -- 3.1 Modelling of the Heat Transfer Problem During AM -- 3.2 Modelling of the Structural Problem During AM -- 3.3 Numerical Analysis -- 3.4 Other Considerations for the Numerical Modelling of the Process -- 4 Improving Energy Efficiency of Powder Bed AM Processes Using Modelling -- 4.1 Introduction -- 4.2 Improving the Energy Efficiency of the Process -- 4.3 Preheating Modelling -- 5 Conclusion and Outcome -- References -- 2 Environmental Impact Assessment Studies in Additive Manufacturing -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Introduction -- 2.2 Electric Energy Consumption of AM Processes -- 2.2.1 First Study: Luo et al. -- 2.2.2 Influence of the Manufacturing Orientation -- 2.2.3 Influence of Packing Density of AM Platforms -- 2.2.4 Comparison Between AM Processes and More Traditional Ones -- 2.2.5 Considering Energy Consumption and Quality of the Part -- 2.2.6 Synthesis of Electric Energy Consumption Studies -- 2.3 Raw Material Consumption -- 2.3.1 Introduction -- 2.3.2 Powder Recycling -- 2.4 Other Flows that Affect the Environment -- 2.5 Possibilities Offered by AM Processes on the Whole Life Cycle of a Product -- 2.6 Synthesis of the Literature Review -- 3 Environmental Impact Assessment Methodology -- 3.1 Introduction -- 3.2 General Approach -- 3.3 Manufacturing Process Modeling -- 3.3.1 Framework and Limits. 3.3.2 Input Data -- 3.3.3 A Multistep Methodology -- 4 Application to Directed Energy Deposition -- 4.1 Introduction to Directed Energy Deposition Process -- 4.2 Atomisation of Raw Material -- 4.2.1 Gas Consumption -- 4.2.2 Water Consumption -- 4.2.3 Electrical Consumption -- 4.3 Environmental Performance Modeling for the AM Process -- 4.3.1 Fluid Consumption -- 4.3.2 Material Consumption -- 4.3.3 Electric Consumption -- 4.3.4 Lost Powder Recycling -- 4.4 Industrial Example -- 4.4.1 Case Study Introduction -- 4.4.2 CAD Part -- 4.4.3 Different Manufacturing Strategies -- 4.4.4 Environmental Impact Results -- 5 Conclusion -- References -- 3 Sustainability Based on Biomimetic Design Models -- Abstract -- 1 Introduction -- 2 Cellular Structures -- 3 Topology Optimisation -- 4 Conclusions -- Acknowledgments -- References -- 4 Sustainable Frugal Design Using 3D Printing -- Abstract -- 1 Introduction -- 2 Categorisation of Frugal Design -- 3 3D Printing -- 4 Frugal Design and Engineering -- 5 Frugal 3D Printing -- 6 Conclusions -- References -- 5 Carbon Footprint Assessment of Additive Manufacturing: Flat and Curved Layer-by-Layer Approaches -- Abstract -- 1 Introduction -- 2 FDM Process -- 3 Experimental Design -- 3.1 Experimentation and Calculation -- 4 Carbon Footprint Assessment -- 4.1 Goal of the Study -- 5 Scope -- 5.1 Product System and Its Function(s) -- 5.2 Functional Unit -- 5.3 Data for the Study -- 5.3.1 Characterization of Data Quality -- 5.4 Cut-Off Criteria and Cut-Off -- 5.5 Allocation Procedures -- 5.6 Geographical and Time Boundary of Data -- 5.7 System Boundary -- 5.8 Assumptions -- 5.9 Treatment of Electricity -- 6 Methodology -- 7 Life-Cycle Inventory -- 8 Product Carbon Footprint Calculation and Interpretation -- 9 Conclusion -- Acknowledgements -- References. EBL201809 MULTIVOLUMES1 Vol359 Engineering SzGeCERN BOOK Savalani, Monica Mahesh https://cds.cern.ch/auth.py?r=EBLIB_P_4512627 ebook n 201838 201809 21 PUBLIC https://catalogue.library.cern/legacy/2639282 BOOK MIGRATED 2638890 SzGeCERN 20210421204308.0 9783319977782 print version 9783319977799 electronic version electronic version 9783319977805 print version DOI 10.1007/978-3-319-97779-9 ebook oai:cds.cern.ch:2638890 cerncds:BOOK eng QC176.8.N35 T174.7 620.5 23 Processing of polymer-based nanocomposites introduction Cham Springer 2018 ebook Springer series in materials science 0933-033X 277 Introduction, Vincent Ojijo and Suprakas Sinha Ray -- Synthesis and functionalization of nanomaterials, Neeraj Kumar and Suprakas Sinha Ray -- Nanoclay and nanoclay-containing polymer nanocomposites, Suprakas Sinha Ray and Vincent Ojijo -- Polymer nanocomposites structural and morphological elucidation techniques, Jayita Bandyopadhyay and Suprakas Sinha Ray -- Polymer nanocomposites processing technologies, Suprakas Sinha Ray and Vincent Ojijo -- Impact of melt-processing strategy on structural and mechanical properties: Clay-containing polypropylene nanocomposites, Dimakatso Morajane, Jayita Bandyopadhya, Vincent Ojijo and Suprakas Sinha Ray. Processing of polymer nanocomposites usually requires special attention since the resultant structure—micro- and nano-level, is directly influenced by among other factors, polymer/nano-additive chemistry and the processing strategy. This book consolidates knowledge, from fundamental to product development, on polymer nanocomposites processing with special emphasis on the processing-structure-property-performance relationships in a wide range of polymer nanocomposites. Furthermore, this book focuses on emerging processing technologies such as electrospinning, which has very exciting applications ranging from medical to filtration. Additionally, the important role played by the nanoparticles in polymer blends structures has been illustrated in the current book, with special focus on fundamental aspects and properties of nanoparticles migration and interface crossing in immiscible polymer blend nanocomposites. This book introduces readers to nanomaterials and polymer nanocomposites processing. After defining nanoparticles and polymer nanocomposites and discussing environmental aspects, the second chapter focuses on the synthesis and functionalization of nanomaterials with applications in polymers. A brief overview on nanoclay and nanoclay-containing polymer nanocomposites is provided in third chapter. The fourth chapter provides an overview of the polymer nanocomposites structural elucidation techniques, such as X-ray diffraction and scattering, microscopy and spectroscopy, rheology. The fifth chapter is dedicated to the polymer nanocomposites processing technologies, among which electrospinning, which has very exciting applications ranging from medical to filtration. The last chapter provides an overview on how melt-processing strategy impact structure and mechanical properties of polymer nanocomposites by taking polypropylene-clay nanocomposite as a model system. The book is useful to undergraduate and postgraduate students (polymer engineering, materials science & engineering, chemical & process engineering), as well as research & development personnel, engineers, and material scientists. Physics and astronomy SPR201809 SzGeCERN Other Fields of Physics SPR Polymers SPR Polymer Sciences BOOK Ray, Suprakas ed. SPR n 201838 201809 21 PUBLIC https://catalogue.library.cern/legacy/2638890 BOOK MIGRATED 2637383 SzGeCERN 20180906233809.0 DOI 10.1088/1748-0221/9/03/C03021 oai:inspirehep.net:1286385 cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d 2018-09-06T04:00:04Z marcxml oai:inspirehep.net:1286385 2018-09-05T12:46:02Z Inspire 1286385 eng Garutti, E Hamburg U. Silicon Photomultiplier characterization and radiation damage investigation for high energy particle physics applications 2014 IOP Within the framework of the CALICE collaboration, our group has characterized Silicon Photomultipliers (SiPMs) from various producers, in order to enhance the single cell performances of a highly granular analog hadron calorimeter, with particular emphasis on improving the linearity of the response, ensuring environmental stability, calibration portability and reducing the parameters spread among the different channels. As an outcome, new plastic scintillator tiles coupled to KETEK PM1125 SMD SiPM have been commissioned, characterized and mounted on calorimeter modules: details and results of the characterization procedure, together with the performances of the new tile and SiPM design will be discussed. The radiation tolerance to X-rays of KETEK PM1125 is also under investigation. The amount and type of damage caused by irradiation of the devices exposed to 3 kGy and 20 MGy doses will be presented. SzGeCERN Detectors and Experimental Techniques author Photon detectors for UV visible and IR photons (solid-sta te) (PIN diodes, APDs, Si-PMTs, G-APDs, CCDs, EBCCDs, EMCCDs etc) author Radiation damage to detector materials (solid state) author Calorimeter methods CERN CALICE Klanner, R Hamburg U. Laurien, S Hamburg U. Parygin, P Natl. U. Sci. Tech., Moscow Popova, E Moscow Phys. Eng. Inst. Ramilli, M Hamburg U. Xu, C DESY C03021 C13-10-07 2014 JINST 9 13 1522468 sienna20131007 C03021 ARTICLE ConferencePaper 0-0-1-2-0-1-0 2014-07-29 20:16:28 Invenio/1.0.0-rc0.1823-9592 refextract/1.5.29 826284 doi:10.1016/j.nima.2009.09.009 M.A. Thomson Nucl.Instrum.Methods Phys.Res., A,611,25 2009 Particle Flow Calorimetry and the PandoraPFA Algorithm 1 arXiv:0907.3577 Nucl.Instrum.Meth.,A,611,25 850578 doi:10.1016/j.nima.2010.03.169 P. Eckert, H.-C. Schultz-Coulon, W. Shen, R. Stamen and A. Tadday Nucl.Instrum.Methods Phys.Res., A,620,217 2010 Characterisation Studies of Silicon Photomultipliers 2 arXiv:1003.6071 Nucl.Instrum.Meth.,A,620,217 848958 script ALICE collaboration C. Adloff et al. scshape C 2010 Construction and Commissioning of the CALICE Analog Hadron Calorimeter Prototype 3 arXiv:1003.2662 JINST,5,P05004 882511 ALICE collaboration C. Adloff et al. scshape C 2011 Electromagnetic response of a highly granular hadronic calorimeter 4 arXiv:1012.4343 JINST,6,04003 1122965 ALICE collaboration C. Adloff et al. scshape C 2012 Hadronic energy resolution of a highly granular scintillator-steel hadron calorimeter using software compensation techniques 5 arXiv:1207.4210 JINST,7,09017 K. Kr 6 (J.-C. Brient, R. Salerno and Y. Sirois (eds.)) ger Integration concepts for highly granular scintillator-based calorimeters, in proceedings of Calorimetry for the High Energy Frontier (CHEF2013) Paris, France, 22-25 April 2013, pg. 230-236 6 doi:10.1109/NSSMIC.2008.4774854 M. Ramilli 2008 Characterization of SiPM: Temperature dependencies Nucl. Sci. Symp. Conf. Rec. 2467 7 IEEE T.R. Oldham Ionizing Radiation effects in MOS Oxides Publishing Co., 1999 8 World Scientific C. Xu, W.L. Hellweg, E.Garutti and R. Klanner 2013 Influence of X-ray irradiation on the properties of the Hamamatsu silicon photomultiplier S10362-11-050C Nucl. Sci. Symp. Conf. Rec 9 IEEE doi:10.1134/S0020441213060092 A.D. Pleshko, P.Zh Buzhan, A.L. Ilyin, E.V. Popova, A.A Stifutkin and S.I. Ageev 2013 Studying voltage recovery processes in silicon photomultiplier tubes 10 Instrum.Exp.Tech.,56,697 2643284 20250719060807.0 DOI bibmatch 10.1103/PhysRevD.98.084001 oai:cds.cern.ch:2643284 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:1809.05108 oai:inspirehep.net:1694302 https://inspirehep.net/api/oai2d Inspire 2025-07-18T09:07:09Z 2025-07-19T02:02:17Z marcxml true Inspire 1694302 arXiv arXiv:1809.05108 gr-qc CERN-TH-2018-184 KCL-PH-TH/2018-34 eng Annulli, Lorenzo Lisbon, CENTRA Centro de Astrofísica e Gravitação—CENTRA, Departamento de Física, Instituto Superior Técnico—IST, Universidade de Lisboa—UL , Avenida Rovisco Pais 1, 1049-001 Lisboa, Portugal arXiv Scattering of scalar, electromagnetic and gravitational waves from binary systems 2018-10-02 2018-09-13 20 p arXiv 19 pages, 3 figures, to appear in PRD APS The direct detection of gravitational waves crowns decades of efforts in the modeling of sources and of increasing detectors’ sensitivity. With future third-generation Earth-based detectors or space-based observatories, gravitational-wave astronomy will be at its full bloom. Previously brushed-aside questions on environmental or other systematic effects in the generation and propagation of gravitational waves are now begging for a systematic treatment. Here, we study how electromagnetic and gravitational radiation is scattered by a binary system. Scattering cross sections, resonances and the effect of an impinging wave on a gravitational-bound binary are worked out for the first time. The ratio between the scattered-wave amplitude and the incident wave can be of order 10-5 for known pulsars, bringing this into the realm of future gravitational-wave observatories. For currently realistic distribution of compact-object binaries, the interaction cross section is too small to be of relevance. arXiv The direct detection of gravitational waves crowns decades of efforts in the modelling of sources and of increasing detectors' sensitivity. With future third-generation Earth-based detectors or space-based observatories, gravitational-wave astronomy will be at its full bloom. Previously brushed-aside questions on environmental or other systematic effects in the generation and propagation of gravitational waves are now begging for a systematic treatment. Here, we study how electromagnetic and gravitational radiation is scattered by a binary system. Scattering cross-sections, resonances and the effect of an impinging wave on a gravitational-bound binary are worked out for the first time. The ratio between the scattered-wave amplitude and the incident wave can be of order $10^{-5}$ for known pulsars, bringing this into the realm of future gravitational-wave observatories. For currently realistic distribution of compact-object binaries, the interaction cross-section is too small to be of relevance. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ CC-BY-4.0 APS https://creativecommons.org/licenses/by/4.0/ publication authors 2018 publication CERN-TH hep-th arXiv Particle Physics - Theory SzGeCERN gr-qc arXiv General Relativity and Cosmology SzGeCERN CERN ARTICLE Bernard, Laura Lisbon, CENTRA Centro de Astrofísica e Gravitação—CENTRA, Departamento de Física, Instituto Superior Técnico—IST, Universidade de Lisboa—UL , Avenida Rovisco Pais 1, 1049-001 Lisboa, Portugal Blas, Diego King's Coll. London CERN Theoretical Particle Physics and Cosmology Group, Department of Physics, King’s College London , Strand, London WC2R 2LS, United Kingdom Theoretical Physics Department, CERN , CH-1211 Geneva 23, Switzerland Cardoso, Vitor Lisbon, CENTRA CERN Centro de Astrofísica e Gravitação—CENTRA, Departamento de Física, Instituto Superior Técnico—IST, Universidade de Lisboa—UL , Avenida Rovisco Pais 1, 1049-001 Lisboa, Portugal Theoretical Physics Department, CERN , CH-1211 Geneva 23, Switzerland 084001 8 2018 Phys. Rev. D 98 1455882 454437 http://cds.cern.ch/record/2643284/files/10.1103_PhysRevD.98.084001.pdf Fulltext from Publisher 2207598 5772 http://cds.cern.ch/record/2643284/files/cross_section_plot.png 00000 Total scattering cross section for a dipolar wave as a function of the external frequency. Here, $\tilde{\sigma}\equiv \sigma/(A r_\circ^2)$ is shown as a function of $\tilde{\Omega}\equiv \Omega/\omega_0$. We set $c=1$ and the two angles $\gamma=\phi_0=0$. As expected, the cross section grows unboundedly for $\Omega=2\omega_0$. For large values of $\Omega$ we recover the standard high-frequency classical result~\eqref{EMOmegainfCrossSection}. 2207599 1844853 http://cds.cern.ch/record/2643284/files/1809.05108.pdf Fulltext 2207600 60399 http://cds.cern.ch/record/2643284/files/3d_kepler_DB.png 00001 Plane of the orbit with respect to the fixed observer basis $(\mathbf{P},\mathbf{Q},\mathbf{N})$. The angle $\zeta$ is the polar angle describing the motion of the reduced mass $\mu$ in the orbital plane, while $\mathbf{L}$ and $\iota$ are respectively the total angular momentum and the angle between this vector and the direction $\mathbf{N}$. The total mass is denoted $m$. 2207601 13778 http://cds.cern.ch/record/2643284/files/incident_scatter_DB.png 00002 Scattering of an incoming GW by a binary. The GW affects the motion of the binary, which in turn re-radiates and contributes to a non-trivial scattered wave. 13 ARTICLE 2642059 SzGeCERN 20210421204103.0 9780429883231 electronic version electronic version 9781138603233 electronic version electronic version 9781138603233 print version oai:cds.cern.ch:2642059 cerncds:BOOK EBL 5517285 eng 621.319/24 Linsley, Trevor Basic electrical installation work 9th ed. Milton Routledge 2018 391 p ebook Cover -- Half Title -- Dedication -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgements -- Chapter 1 C&G unit 201/50.1: Health and safety in building services engineering -- Chapter 2 C&G unit 202: Principles of electrical science -- Chapter 3 C&G unit 203: Electrical installations technology and renewable energy systems -- Chapter 4 C&G unit 204: Installation of wiring systems and enclosures -- Chapter 5 C&G unit 210: Communicating with others in building services engineering -- Answers to check your understanding questions -- Preparing for assessment -- Appendix A: Abbreviations, symbols and codes -- Appendix B: Health and Safety Executive (HSE) publications and information -- Appendix C: Environmental organizations -- Glossary of terms -- Index. EBL201810 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5517285 ebook n 201840 201810 21 PUBLIC https://catalogue.library.cern/legacy/2642059 BOOK MIGRATED 2642048 SzGeCERN 20210421204105.0 9780128041918 electronic version electronic version 9780128041918 print version 9780128042014 electronic version electronic version oai:cds.cern.ch:2642048 cerncds:BOOK EBL 5507690 eng 523.43 Filiberto, Justin Volatiles in the Martian crust Saint Louis, MO Elsevier 2018 427 p ebook Front Cover -- Volatiles in the Martian Crust -- Copyright Page -- Dedication -- Contents -- List of Contributors -- Acknowledgments -- 1 Introduction to Volatiles in the Martian Crust -- 1.1 Sources of Data -- 1.1.1 Martian Meteorites -- 1.1.2 Mars Orbiters -- 1.1.3 Mars Phoenix Mission -- 1.1.4 Mars Exploration Rovers Spirit and Opportunity -- 1.1.5 Mars Science Laboratory Curiosity -- References -- 2 Volatiles in Martian Magmas and the Interior: Inputs of Volatiles Into the Crust and Atmosphere -- 2.1 Introduction -- 2.2 Overview from Orbit -- 2.3 Water -- 2.4 Halogens -- 2.5 Abundances of S, C, and N in Bulk Silicate Mars -- 2.6 Summary and Conclusions -- References -- 3 Noble Gases in Martian Meteorites: Budget, Sources, Sinks, and Processes -- 3.1 Introduction: The Mars-Martian Meteorite Connection -- 3.2 Component Overview -- 3.2.1 The Atmospheric Component (MA) -- 3.2.2 The "Interior" Component (MI) -- 3.2.3 The "Fractionated Atmospheric" Component -- 3.2.4 Gases Released by Crushing (EETV Component) -- 3.2.5 Old Martians -- 3.3 Sources, Sinks, and Processes -- 3.3.1 Origin and Modification of Martian Atmosphere -- 3.3.1.1 Processes and modification -- 3.3.1.2 Sources -- 3.3.1.3 Trapping -- 3.3.2 Martian Interior Component(s) -- 3.3.2.1 Chassigny-primitive and evolved -- 3.3.2.2 Argon in the shergottites -- 3.3.3 Fractionated and Ancient Atmosphere -- 3.3.4 Complications-for Better or Worse -- 3.4 Short Summary -- References -- 4 Hydrogen Reservoirs in Mars as Revealed by Martian Meteorites -- 4.1 Introduction -- 4.2 Laboratory Analysis of Hydrogen Isotopes in Martian Meteorites -- 4.2.1 Toward the Detection of Martian Hydrogen -- 4.2.2 In Situ Hydrogen Isotope Analysis by Secondary Ion Mass Spectrometry -- 4.3 Origin and Evolution of Hydrogen Reservoirs on Mars -- 4.3.1 Primordial Water -- 4.3.2 Atmospheric Water -- 4.3.3 Crustal Water. 4.4 Future Perspective on Meteorite Study -- References -- 5 Carbonates on Mars -- 5.1 Introduction -- 5.2 The Nakhlites -- 5.2.1 New Nakhlite Samples and Methods -- 5.2.2 Nakhlite Carbonate Textures and Compositions -- 5.2.3 Formation of the Nakhlite Carbonates -- 5.2.4 Terrestrial Calcite -- 5.2.5 Recently Discovered Nakhlites -- 5.3 ALH 84001 -- 5.3.1 Carbonates -- 5.3.2 Formation Mechanism -- 5.4 Carbonates Detected on the Surface of Mars -- 5.4.1 Lander Analyses -- 5.4.2 Spaceborne Observations -- 5.5 Past Atmospheric pCO2 and Environmental Conditions -- 5.6 Synthesis -- 5.7 Conclusions -- Acknowledgments -- References -- 6 Sulfur on Mars From the Atmosphere to the Core -- 6.1 Introduction -- 6.1.1 The Prevalence of Sulfur on Mars -- 6.1.2 Sulfur Geochemistry and Isotopes -- 6.1.3 Clues to Mars' Past -- 6.2 Martian Sulfur Reservoirs -- 6.2.1 Sulfur Abundance and Core Formation -- 6.2.2 Sulfur in Melts, Vapor, Sulfide, Sulfate, and Metal -- 6.2.3 Sulfur in the Primitive Mantle and Crust -- 6.2.4 Sulfur from Volcanic Outgassing -- 6.2.5 Sulfur at the Martian Surface -- 6.3 In Situ Observations -- 6.3.1 Measurement Techniques -- 6.3.1.1 X-Ray Fluorescence and Alpha-Particle/Proton X-Ray Spectrometry -- 6.3.1.2 Wet Chemistry Titration -- 6.3.1.3 Laser-Induced Breakdown Spectroscopy -- 6.3.1.4 Evolved Gas Analysis -- 6.3.2 Results from Surface Missions -- 6.3.2.1 Viking Landers -- 6.3.2.2 Pathfinder Rover -- 6.3.2.3 Mars Exploration Rovers -- 6.3.2.4 Phoenix Lander -- 6.3.2.5 Curiosity Rover -- 6.4 Sulfur Minerals in Martian Meteorites -- 6.4.1 Sulfides in Martian Meteorites -- 6.4.2 Sulfates in Martian Meteorites -- 6.4.3 Other Sulfur-Bearing Minerals Detected in Martian Meteorites -- 6.5 Remote Sensing Observations -- 6.5.1 Gamma Ray Spectrometry -- 6.5.2 Spectral Detection of Sulfate Minerals from Earth. 6.5.3 Spectral Detection of Sulfate Minerals from Orbit Around Mars -- 6.5.3.1 Thermal Infrared Imaging Spectrometers -- 6.5.3.2 Visible/Near-Infrared Imaging Spectrometers -- 6.5.4 Surface Processes for Sulfur -- 6.5.4.1 Importance of sulfates for hydrogen on Mars -- 6.5.4.2 Age of the sulfates on Mars -- 6.5.5 Atmospheric Sulfur -- 6.5.5.1 Atmospheric abundance of sulfur -- 6.5.5.2 Photochemical processing and isotopic fractionation of sulfur -- 6.6 Sulfur and the Martian Climate -- 6.7 Future Directions -- References -- 7 The Hydrology of Mars Including a Potential Cryosphere -- 7.1 Outstanding Questions About Water on Mars -- 7.2 Evidence for the Past Presence of Water on the Surface of Mars -- 7.2.1 Fluvial Valleys -- 7.2.2 Inverted Channels, Alluvial Fans, Deltas, and Paleolakes -- 7.2.3 Outflow Channels -- 7.2.4 Past Oceans and Seas -- 7.2.5 Crustal Alteration -- 7.2.6 Layered Ejecta and Pedestal Craters -- 7.2.7 Past Glaciations -- 7.3 Remote Sensing Evidence for Water on Mars Today -- 7.3.1 Visible Reservoirs of Water -- 7.3.1.1 Polar layered deposits -- 7.3.1.2 Latitude-dependent mantle -- 7.3.1.3 Massive nonpolar ice deposits -- 7.3.1.4 Gullies -- 7.3.1.5 Recurring slope lineae -- 7.3.1.6 Periglacial landforms -- 7.3.2 Geophysical Evidence for Deeper Reservoirs of Ice and Water -- 7.3.2.1 Gamma ray and neutron spectroscopy -- 7.3.2.2 Orbital radar sounding -- 7.3.2.3 Methane detections and their implications -- 7.4 Mars' Evolving Water Budget -- 7.4.1 Origin of Mars' Water and Potential Water Sinks -- 7.4.2 Inferences from In Situ Isotopic Measurements -- 7.4.3 Atmospheric Escape -- 7.5 Current State of the Martian Cryosphere -- 7.5.1 Thermal Conductivity -- 7.5.2 Effect of Freezing Point Depressing Salts in Martian Groundwater -- 7.5.3 Geothermal Heat Flux -- 7.6 Conclusions and Perspectives -- References. 8 Sequestration of Volatiles in the Martian Crust Through Hydrated Minerals: A Significant Planetary Reservoir of Water -- 8.1 Hydrated Minerals in Meteorites -- 8.2 Hydrated State of Martian Regolith/Soils -- 8.3 Global Distribution of Hydrated Minerals -- 8.3.1 To What Depth in the Martian Crust are Hydrated Minerals Observed? -- 8.3.1.1 Abundance of Aqueous Minerals -- 8.3.2 Translating Aqueous Mineral Abundance to Water Content -- 8.3.3 Size of the Hydrous Mineral Crust Reservoir -- 8.4 Possible Implications -- References -- 9 Volatiles Measured by the Phoenix Lander at the Northern Plains of Mars -- 9.1 Introduction -- 9.2 Sulfur -- 9.2.1 Sulfates in the Northern Plains -- 9.2.2 Origin of Sulfates at the Phoenix Site -- 9.2.3 Detection of Sulfates at the Phoenix Site -- 9.3 Carbon -- 9.3.1 Isotopic Measurements of Atmospheric CO2 -- 9.3.2 Comparing the Volatile Carbon Results of the Northern Plains With Equatorial Regions -- 9.3.3 Detection of Carbonates in the Phoenix Soil -- 9.3.4 Origins and Implications of Carbonates at the Phoenix Landing Site -- 9.4 Chlorine -- 9.4.1 Detection of Chlorine in the Phoenix Soil -- 9.4.2 The Martian Global Oxychlorine Cycle -- 9.5 Water -- 9.5.1 Phoenix-Based Indicators of Prolonged Severe Aridity at the Northern Plains -- 9.6 Summary -- References -- 10 Mars Exploration Rover Opportunity: Water and Other Volatiles on Ancient Mars -- 10.1 Introduction -- 10.2 Opportunity Instrument Payload -- 10.3 Geologic Context of Meridiani Planum -- 10.4 Eagle Crater and First Discoveries of an Aqueous Petrogenesis -- 10.5 Evidence of Diagenesis -- 10.5.1 Cements and Vugs -- 10.5.2 Concretions -- 10.6 Burns Formation and the Further Characterization of Meridiani Planum Bedrock -- 10.6.1 Endurance Crater -- 10.6.2 Erebus Crater -- 10.6.2.1 Trough cross-lamination -- 10.6.2.2 Shrinkage cracks -- 10.6.3 Victoria Crater. 10.6.4 Santa Maria Crater -- 10.7 General Observations from Opportunity's Traverse from Eagle crater to Santa Maria crater -- 10.7.1 Burns Formation Rocks -- 10.7.2 Formation of Concretions -- 10.7.3 Scale of the Burns Formation -- 10.7.4 Evidence of Later Water Activity on Meridiani Planum: Veneers, Rinds, and Fracture Fills -- 10.7.4.1 Veneers -- 10.7.4.2 Rinds -- 10.7.4.3 Fracture fills -- 10.8 Summary of Evidence supporting Sedimentary/Aqueous Processes in Rocks of Meridiani Planum -- 10.9 Endeavour Crater -- 10.9.1 Gypsum Veins -- 10.9.2 Cape York and the Matijevic Hill Deposits -- 10.9.3 Coated rocks (Cook Haven, Murray Ridge)-or Aqueous Mobilization of Mn and Zn -- 10.9.3.1 Tisdale2 and Zn enrichment -- 10.9.3.2 Cook Haven rocks and Mn enrichment -- 10.9.4 Exploring Marathon Valley and Looking Forward -- Acknowledgments -- References -- 11 Alteration Processes in Gusev Crater, Mars: Volatile/Mobile Element Contents of Rocks and Soils Determined by the Spirit... -- 11.1 Introduction -- 11.2 The APXS Dataset -- 11.3 Geological Context -- 11.4 Cratered Plains -- 11.4.1 Rock Coatings and Veins -- 11.4.2 Soil Indurations -- 11.5 West Spur-Husband Hill -- 11.5.1 Variable Styles and Degrees of Alteration -- 11.5.2 Independence Class -- 11.5.3 Comanche and Carbonate Formation -- 11.6 Inner Basin -- 11.6.1 Home Plate-Hydrothermal Alteration -- 11.6.2 Eastern Valley Region-Silica-Rich Deposits -- Hematite-Rich Rocks -- 11.7 Sulfate-rich Paso-Robles-Class Soils -- 11.8 Summary: Volatile/Mobile Elements and Alteration in Gusev Carter -- 11.8.1 Gusev Crater: Prelanding Predictions -- Postlanding Reality -- Acknowledgments -- References -- 12 Volatile Detections in Gale Crater Sediment and Sedimentary Rock: Results from the Mars Science Laboratory's Sample Anal... -- 12.1 Introduction -- 12.2 Previous In Situ Volatile Analyses of Martian Surface Material. 12.3 Sample Analysis at Mars Analyses Objectives. EBL201810 Astrophysics and Astronomy SzGeCERN BOOK Schwenzer, Susanne P https://cds.cern.ch/auth.py?r=EBLIB_P_5507690 ebook n 201840 201810 21 PUBLIC https://catalogue.library.cern/legacy/2642048 BOOK MIGRATED 2642031 SzGeCERN 20190321204927.0 9780128162514 (electronic bk.) electronic version 9780128154892 electronic version 9780128154892 print version oai:cds.cern.ch:2642031 cerncds:BOOK EBL 5501839 eng 532 Katopodes, Nikolaos D Free-surface flow environmental fluid mechanics San Diego, CA Elsevier Science & Technology 2018 1022 p ebook EBL201810 Other Fields of Physics SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5501839 ebook n 201840 201810 21 PUBLIC BOOK DELETED 2641997 SzGeCERN 20210421204112.0 9781781830116 electronic version electronic version 9781781830116 print version 9781781830840 electronic version electronic version oai:cds.cern.ch:2641997 cerncds:BOOK EBL 5490859 eng TK4058 .P555 2015 621.46 Pillai, S K Basics of electrical drives 4th ed. London New Academic Science 2014 245 p ebook Cover -- Foreword -- Preface to the Fourth Edition -- Contents -- Chapter 1. Introduction -- 1.1 Concept of an Electrical Drive -- 1.2 Classification of Electrical Drives -- Chapter 2. Dynamics of Electrical Drives -- 2.1 Types of Loads -- 2.2 Quadrantal Diagram of Speed-Torque Characteristics -- 2.3 Load Torques that Depend on the Path or Position Taken by the Load During Motion -- 2.4 Load Torques that Vary with Angle of Displacement of the Shaft -- 2.5 Load Torques that Vary with Time -- 2.6 Dynamics of Motor-Load Combination -- 2.6.1 Equivalent System -- 2.6.2 Determination of Referred Load Torque -- 2.6.3 Determination of Referred Moment of Inertia -- 2.6.4 Referring Forces and Masses Having Translational Motion to a Rotating Shaft -- 2.6.5 Referring Torques and Masses which Undergo Translational Motion at Variable Speeds -- 2.7 Determination of Moment of Inertia -- 2.8 Steady State Stability of an Electric Drive -- 2.8.1 Criteria for Steady State Stability -- 2.9 Transient Stability of an Electrical Drive -- 2.9.1 Concept of Transient Stability -- 2.9.2 Transient Stability of a Synchronous Motor -- Problems -- Chapter 3. Characteristics of dc Motors -- 3.1 Basic Relations -- 3.2 Basic Characteristics -- 3.2.1 Basic Characteristics of dc Shunt Motors -- 3.2.2 Basic Characteristics of dc Series Motors -- 3.2.3 Effect of Impulsive Changes in Supply Voltage -- 3.2.4 Effect of Fluctuation in Load Torque -- 3.2.5 Basic Characteristics of Compound Motors -- 3.3 Modified Speed Torque Characteristics of dc Shunt Motors -- 3.3.1 Introduction of Armature Series Resistances -- 3.3.2. Variation of Field Current -- 3.4 Modified Speed Torque Characteristics of dc Series Motors -- 3.4.1 Series Resistance -- 3.4.2 Shunted Motor Connection -- 3.4.3 Shunted Armature Connection -- 3.4.4 Shunt Motor Connection -- 3.5 Application of Modified Characteristics. 3.6 Direct Control of Armature-Terminal Voltage -- Problems -- Chapter 4. Characteristics of ac Motors -- 4.1 Three-Phase Induction Motors -- 4.1.1 Steady State Characteristics -- 4.1.2 No Load Current of Induction Motors -- 4.1.3 Relationship Between the Ratio of Starting Current to Full Load Current and the Ratio of Starting Torque to Full Load Torque -- 4.1.4 Modified Speed-Torque Characteristics of Three-phase Induction Motors -- 4.2 Three-Phase Synchronous Motors -- 4.2.1 Steady State Characteristics -- 4.2.2 Torque Angle Characteristic of a Synchronous Motor -- 4.2.3 Modified speed Torque Characteristics of Three-phase Synchronous Motors -- Problems -- Chapter 5. Starting -- 5.1 Effect of Starting on Power Supply, Motor and Load -- 5.2 Methods of Starting Electric Motors -- 5.3 Acceleration Time -- 5.3.1 Acceleration Time for Specific Nature of Motor and Load Torques -- 5.3.2 Optimum Value of smaxT for Minimum Accelerating Time -- 5.4 Energy RElations During Starting -- 5.4.1 DC Shunt Motor -- 5.4.2 DC Series Motor -- 5.4.3 Three-Phase Induction Motor -- 5.5 Methods to Reduce the Energy Loss During Starting -- 5.5.1 Reducing the Moment of Inertia of Rotor -- 5.5.2 Starting of dc Shunt Motors by Smooth Variation of Applied Voltage -- 5.5.3 Starting of Multispeed Induction Motors in Discrete Steps -- 5.5.4 Starting of Induction Motors by Smooth Variation of Supply Frequency -- Problems -- Chapter 6. Electric Braking -- 6.1 Types of Braking -- 6.2 Braking of dc Motors During Lowering of Loads -- 6.2.1 DC Shunt Motor -- 6.2.2 DC Series Motor -- 6.3 Braking While Stopping -- 6.3.1 DC Shunt Motor -- 6.3.2 DC Series Motor -- 6.4 Electric Braking of Induction Motors -- 6.4.1 Regenerative Braking -- 6.4.2 Plugging or Reverse Current Braking -- 6.4.3 DC Rheostatic Braking -- 6.4.4 AC Rheostatic Braking. 6.4.5 Comparison of the Methods of Electric Braking of Induction Motors -- 6.5 Braking of Synchronous Motors -- 6.5.1 Rheostatic Braking of Synchronous Motors -- 6.6 Energy RElations During Braking -- 6.6.1 DC Motors with Separate or Shunt Excitation -- 6.6.2 Induction Motors -- 6.7 Dynamics of Braking -- Problems -- Chapter 7. Rating and Heating of Motors -- 7.1 Heating Effects -- 7.1.1 Heating and Cooling Curves -- 7.2 Loading Conditions and Classes of Duty -- 7.3 Determination of Power Rating of Electric Motors for Different Applications -- 7.3.1 Continuous Duty and Constant Load -- 7.3.2 Continuous Duty and Variable Load -- 7.3.3 Rating for other Duty Cycles -- 7.4 Effect of Load Inertia -- 7.5 Load Equalisation -- 7.5.1 Determination of the Moment of Inertia of the Flywheel -- 7.6 Environmental Factors -- Problems -- Chapter 8. Introduction to Solid State Controlled Drives -- 8.1 DC Motor System -- 8.1.1 Controlled Rectifier Circuits -- 8.1.2 Chopper Circuits -- 8.2 AC Motor System -- 8.2.1 Ac Regulators -- 8.2.2 Inverters -- 8.2.3 Cycloconverters -- 8.2.4 Pulse Controlled Resistance -- 8.2.5 Static Scherbius Cascade -- 8.2.6 Static Kramer Cascade -- 8.3 Brushless dc Motors -- 8.3.1 Classification and Terminology -- 8.3.2 Three-phase, Six-pulse Brushless dc Motor Configuration -- 8.4 Switched-Reluctance Motor Drives -- 8.4.1 Principle of Operation of Switched-Reluctance Motor -- 8.4.2 Nature of Torque Production -- 8.4.3 Modes of Operation of the Motor -- 8.4.4 Power Converter -- Chapter 9. Stepper Motors -- 9.1 Stepper Motors with Permanent Magnet Rotors -- 9.2 Variable Reluctance Stepper Motors -- 9.3 Stepper Motor Parameters -- 9.4 Stepper Motor Characteristics -- 9.5 Power Supply and Switches -- Chapter 10. Industrial Applications -- 10.1 Steel Mills -- 10.1.1 Reversing Hot Rolling Mills -- 10.1.2 Continuous Hot Rolling Mills. 10.1.3 Reversing Cold Rolling Mills -- 10.1.4 Continuous Cold Rolling Mills -- 10.1.5 Drives Used in Different Mills -- 10.2 Paper Mills -- 10.2.1 Pulp Making -- 10.2.2 Paper Making -- 10.2.3 Requirements of Paper Machine Drive -- 10.2.4 Types of Drives Used for Paper Machine -- 10.2.5 Comparison Between Line Shaft Drive and Sectional Drive -- 10.3 Cement Mills -- 10.3.1 Cement Making -- 10.3.2 Types of Drives -- 10.4 Textile Mills -- 10.4.1 Motors Used for Different Textile Processes -- 10.5 Sugar Mills -- 10.6 Electric Traction -- 10.6.1 Requirements of Traction Motors -- 10.6.2 Drives Used -- 10.7 Coal Mining -- 10.7.1 Motors Used for Different Functions -- 10.8 Machine Tool Applications -- 10.8.1 Drives for Numerical Controlled Machines -- 10.9 Petrochemical Industry -- 10.9.1 Pump Drives -- 10.9.2 Compressor Drives -- 10.10 Miscellaneous Applications -- Bibliography -- Index. EBL201810 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5490859 ebook n 201840 201810 21 PUBLIC https://catalogue.library.cern/legacy/2641997 BOOK MIGRATED 2641977 SzGeCERN 20210421204115.0 9781119363521 electronic version electronic version 9781119363521 print version 9781119364207 electronic version electronic version oai:cds.cern.ch:2641977 cerncds:BOOK EBL 5486262 eng TK1087 .P468 2018 621.31/244 Müller, Monika Freunek Photovoltaic modeling handbook Newark, NJ John Wiley & Sons 2018 301 p ebook Intro -- Title page -- Copyright page -- Dedication -- Preface -- Chapter 1: Introduction -- References -- Chapter 2: Fundamental Limits of Solar Energy Conversion -- 2.1 Introduction -- 2.2 The Carnot Efficiency - A Realistic Limit for PV Conversion? -- 2.3 Solar Cell Absorbers - Converting Heat into Chemical Energy -- 2.4 No Junction Required - The IV Curve of a Uniform Absorber -- 2.5 Limiting Efficiency Calculations -- 2.6 Real Solar Cell Structures -- 2.7 Beyond the Shockley Queisser Limit -- 2.8 Summary and Conclusions -- Acknowledgement -- References -- Chapter 3: Optical Modeling of Photovoltaic Modules with Ray Tracing Simulations -- 3.1 Introduction -- 3.2 Basics of Optical Ray Tracing Simulations -- 3.3 Modeling Illumination -- 3.4 Specific Issues for Ray Tracing of Photovoltaic Modules -- 3.5 From Optics to Power Output -- 3.6 Overview of Optical Simulation Tools for PV Devices -- Acknowledgments -- References -- Chapter 4: Optical Modelling and Simulations of Thin-Film Silicon Solar Cells -- 4.1 Introduction -- 4.2 Approaches of Optical Modelling -- 4.3 Selected Methods and Approaches -- 4.4 Examples of Optical Modelling and Simulations -- 4.5 The Role of Illumination Spectrum -- 4.6 Conclusion -- Acknowledgement -- References -- Chapter 5: Modelling of Organic Photovoltaics -- 5.1 Introduction to Organic Photovoltaics -- 5.2 Performance of Organic Photovoltaics -- 5.3 Charge Transport in Organic Semiconductors -- 5.4 Energetic Disorder in Organic Semiconductors -- 5.5 Morphology of Organic Materials -- 5.6 Considerations for Photovoltaics -- 5.7 Simulation Methods of Organic Photovoltaics -- 5.8 Considerations When Modelling Organic Photovoltaics -- Acknowledgements -- References -- Chapter 6: Modeling the Device Physics of Chalcogenide Thin Film Solar Cells -- 6.1 Introduction -- 6.2 Kosyachenko's Approach: Carrier Transport. 6.3 Demtsu-Sites Approach: Double-Diode Model -- 6.4 Kosyachenko's Approach: Optical Loss Modeling -- 6.5 Karpov's Approach -- 6.6 Conclusion -- Acknowledgements -- References -- Chapter 7: Temperature and Irradiance Dependent Efficiency Model for GaInP-GaInAs-Ge Multijunction Solar Cells -- 7.1 Motivation -- 7.2 Efficiency Model -- 7.3 Results and Discussion -- 7.4 Conclusions -- 7.5 Acknowledgments -- References -- Appendix: Shockley-Queisser-Modell Calculations -- Chapter 8: Variation of Output with Environmental Factors -- 8.1 Conversion Efficiency and Standard Test Conditions (STC) -- 8.2 Variation of I-V curve with Each Environmental Factor [3] -- 8.3 Example of Measurement of Spectral Distribution of Solar Radiation -- 8.4 Irradiance -- 8.5 Effects on Performance of PV Modules/Cells [5] -- 8.6 Cell Temperature [8-11] -- 8.7 Results for Concentrated Photovoltaics -- Acknowledgments -- References -- Chapter 9: Modeling of Indoor Photovoltaic Devices -- 9.1 Introduction -- 9.2 Indoor Radiation -- 9.3 Maximum Efficiencies -- 9.4 Demonstrated Efficiencies and Further Optimization -- 9.5 Characterization and Measured Efficiencies -- 9.6 Outlook -- 9.7 Acknowledgement -- References -- Chapter 10: Modelling Hysteresis in Perovskite Solar Cells -- 10.1 Introduction to Perovskite Solar Cells -- Acknowledgements -- References -- Index -- End User License Agreement. EBL201810 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5486262 ebook n 201840 201810 21 PUBLIC https://catalogue.library.cern/legacy/2641977 BOOK MIGRATED 2641974 SzGeCERN 20210421204116.0 9781613004814 electronic version electronic version 9781625763006 electronic version electronic version 9781625763006 print version oai:cds.cern.ch:2641974 cerncds:BOOK EBL 5483957 eng TJ900 .A447 2018 621.69 AWWA AWWA E200-18 progressive cavity chemical metering pumps Denver, CO American Water Works Association 2018 28 p ebook Intro -- Foreword -- I. Introduction. -- I.A. Background. This standard describes the minimum requirements for progressive cavity chemical metering pumps for water and wastewater treatment systems. This standard covers progressive cavity chemical metering pumps for materials resistant to aggress -- I.B. History. While inventing a compressor for jet engines, aviation pioneer René Moineau discovered in 1930 that this principle could also work as a pumping system. The University of Paris awarded Moineau a doctorate of science for his thesis on "the new -- I.C. Acceptance. In May 1985, the US Environmental Protection Agency (USEPA) entered into a cooperative agreement with a consortium led by NSF International (NSF) to develop voluntary third-party consensus standards and a certification program for direct -- II. Special Issues. No special issues provided with this standard. -- III.A. Purchaser Options and Alternatives. The following information shall be provided by the purchaser: -- IV. Major Revisions. This is the first edition of the standard. -- AWWA Standard -- SECTION 1: GENERAL -- Sec. 1.1 Scope -- Sec. 1.2 Purpose -- Sec. 1.3 Application -- SECTION 2: REFERENCES -- SECTION 4: REQUIREMENTS -- SECTION 5: VERIFICATION -- Sec. 5.1 Factory Tests -- Sec. 5.2 Basis for Rejection -- SECTION 6: Delivery, Preparation for Shipment, and Affidavit -- Sec. 6.1 Marking -- Sec. 6.3 Storage -- Sec. 6.4 Operation and Maintenance -- Sec. 6.5 Affidavit of Compliance. EBL201810 Engineering SzGeCERN EBL Metering pumps BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5483957 ebook n 201840 201810 21 PUBLIC https://catalogue.library.cern/legacy/2641974 BOOK MIGRATED 2641959 SzGeCERN 20190226231418.0 9781498703857 (electronic bk.) electronic version 9781138628830 electronic version 9781138628830 print version oai:cds.cern.ch:2641959 cerncds:BOOK EBL 5475652 eng QA76.76.I59 .Z463 2017 006.7 Zeman, Nicholas B Storytelling for interactive digital media and video games Natick Chapman and Hall/CRC 2017 297 p ebook Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Author -- Section I : Story Fundamentals -- Chapter 1: What Is a Story? Fundamental Components of the Story -- 1.1 BECOMING THE STORYTELLER -- 1.2 WHAT IS A STORY? FUNDAMENTAL COMPONENTS -- 1.3 PRIMARY COMPONENTS -- 1.3.1 Characters -- 1.3.1.1 Has Emotions and Feelings -- 1.3.1.2 Has a Method of Communication -- 1.3.1.3 Limbs/Method of Locomotion -- 1.3.1.4 Clothes, Accessories, Hair, Facial Features -- 1.3.1.5 The Voodoo Principle -- 1.3.2 Narrative -- 1.3.3 Perspective -- 1.3.3.1 First-Person and Third-Person Singular Perspectives -- 1.3.3.2 Multiple Perspectives -- 1.3.3.3 Revolving Multiple Perspective -- 1.3.3.4 Convergent Multiple Perspective -- 1.3.3.5 Divergent Multiple Perspective -- 1.3.3.6 Parallel Multiple Perspective -- 1.3.3.7 Relay Multiple Perspective -- 1.3.4 Sequence -- 1.4 SECONDARY COMPONENTS OF A STORY -- 1.4.1 Setting -- 1.4.2 Tone -- 1.5 TERTIARY COMPONENTS -- 1.5.1 Intended Audience -- REFERENCE -- Chapter 2: Who's Telling the Story? Teller/Audience Relationship and the Told -- 2.1 DIRECTION OF INPUT -- 2.2 HEIGHT OF TELLER -- 2.3 DISTANCE OF TELLER -- Chapter 3: How Do We Tell Stories? Formats of Storytelling -- 3.1 Archaic Forms of Storytelling -- 3.1.1 Oral Traditions -- 3.1.2 Stage Plays -- 3.1.3 Books and Literature -- 3.2 Postindustrial Formats of Storytelling -- 3.2.1 Radio -- 3.2.2 Television -- 3.2.2.1 Reality Television -- 3.3 The Information Age of Storytelling -- 3.3.1 Contest Television -- 3.3.2 Social Fiction -- 3.3.3 Game-Based Storytelling -- Chapter 4: What Are Stories About? The Content of Stories -- 4.1 THE HUMAN EXPERIENCE -- 4.1.1 Birth -- 4.1.2 Childhood -- 4.1.3 Transformation -- 4.1.4 Strife/War/Journey -- 4.1.5 Love/Sexual Passion -- 4.1.6 Parenthood -- 4.1.7 Death -- 4.2 THE MYSTICAL EXPERIENCE -- 4.2.1 Creation. 4.2.2 Nature -- 4.2.3 Fate/Influence -- 4.2.4 Purpose and Origin -- 4.2.5 Mystery -- 4.2.6 Explanation of Death -- 4.3 THE LEARNING EXPERIENCE -- Chapter 5: Why Do We Tell Stories? Functional Storytelling -- 5.1 BEHAVIOR MODIFICATION -- 5.1.1 Choosing Something -- 5.1.2 Buy Something -- 5.1.3 Do Something -- 5.1.4 Preventing Something -- 5.1.5 Change Opinion -- 5.2 ENTERTAINMENT -- 5.2.1 Reward Systems -- 5.2.2 Catharsis -- 5.3 LEARNING/EDUCATION -- Chapter 6: Activities for Storytellers -- 6.1 ACTIVITY 1: FUNCTIONAL STORYTELLING -- 6.1.1 Behavior Modification Task 1: Choosing a Product -- 6.1.2 Behavior Modification Task 2: Changing Opinion -- 6.1.3 Behavior Modification Task 3: Negative Influence -- 6.2 ACTIVITY 2: EPISODIC DIGITAL STORYTELLING -- 6.3 ACTIVITY 3: INTERACTIVE EDUCATIONAL STORYTELLING -- 6.3.1 Lesson 1: Prudence -- 6.3.2 Lesson 2: Honesty -- Chapter 7: Conclusion -- Section II : Media -- Chapter 8: The Still Image -- 8.1 DEFINING THE IMAGE -- 8.1.1 History of Images -- 8.1.2 Portability -- 8.1.3 Accessibility -- 8.1.4 Subject Matter -- 8.1.5 Medium -- 8.1.6 Level of Realism -- 8.2 IMAGE FORMS THROUGH THE AGES -- 8.2.1 Cave Paintings -- 8.2.2 Portable Sculpture -- 8.2.2.1 Pottery -- 8.2.2.2 Coins -- 8.2.2.3 Rock Carvings -- 8.2.3 Statues -- 8.2.4 Paintings -- 8.2.5 Tapestries -- 8.2.6 Reliefs/Frescoes -- 8.2.7 Printing Press/Woodcuts -- 8.2.8 Photographs -- 8.2.9 Digital Media -- 8.3 COMPONENTS OF THE STILL IMAGE (BREAKING DOWN THE STILL IMAGE) -- 8.3.1 Subject -- 8.3.2 Shading -- 8.3.3 Color -- 8.3.3.1 Common Color Combinations -- 8.3.3.2 Unnatural/Emissive Color Tones -- 8.3.4 Composition -- 8.4 TARGETED IMAGE ANALYSIS -- Chapter 9: The Moving Image -- 9.1 ANIMATION -- 9.1.1 Exaggeration -- 9.1.2 Squash and Stretch -- 9.1.3 Anticipation -- 9.1.4 Constant Movement -- 9.1.5 Three-Dimensional Animation -- 9.2 DIGITAL MEDIA DEVICES. 9.2.1 Film -- 9.2.2 Television -- 9.2.3 Streaming Content -- 9.3 MOVEMENT, TIME, AND EFFECT -- Chapter 10: Memes and Symbols -- 10.1 MEMES -- REFERENCE -- Chapter 11: Audio -- 11.1 TO SOUND OR NOT TO SOUND -- 11.2 PODCASTS -- 11.3 TYPES OF AUDIO -- 11.3.1 The Human Voice -- 11.3.2 Sound Effects -- 11.3.2.1 Ambient Sound -- 11.3.3 Music -- 11.3.3.1 Rhythm/Tempo -- 11.3.3.2 Melody -- 11.3.3.3 Voicing -- 11.3.3.4 Key -- REFERENCES -- Chapter 12: Exercises -- 12.1 EXERCISE 1: TELLING STORIES THROUGH DRAWINGS -- 12.2 EXERCISE 2: TELLING STORIES WITH AUDIO -- Chapter 13: Conclusion -- Section III : Interactivity -- Chapter 14: Interaction Basics -- 14.1 INTRODUCTION -- 14.2 ATTRIBUTES OF INTERACTIVITY -- 14.2.1 Level of Control -- 14.2.2 Synchronicity -- 14.2.3 Collectivity -- Chapter 15: Interactive Media Types -- 15.1 KIOSKS -- 15.2 WEB -- 15.2.1 Second-Screen Content -- 15.2.2 Comics -- 15.2.3 Tube Episodes -- 15.2.4 Social Fiction -- 15.2.4.1 Adver-Content -- 15.2.4.2 Podcasts -- 15.2.4.3 Wearable Tech -- Chapter 16: Games -- 16.1 OBJECTIVE -- 16.2 RULES -- 16.3 REWARD SYSTEMS -- 16.3.1 Extrinsic vs Intrinsic -- 16.3.2 Collection -- 16.3.3 Achievement -- 16.3.4 Catharsis -- 16.3.5 Competition -- 16.3.6 Role-Playing -- 16.3.7 Discovery -- 16.3.8 Social Interaction -- 16.4 CHARACTERS -- 16.4.1 Archetypes -- 16.4.2 Hero -- 16.4.3 Villain -- 16.4.4 Victim -- 16.4.5 Mercenary -- 16.4.6 Reluctant Hero -- 16.4.7 Tortured Villain -- 16.5 OBSTACLES -- 16.5.1 Puzzle Obstacles -- 16.5.2 Nonplayer Character Obstacles -- 16.5.3 Human Player Obstacles -- 16.5.4 Environmental Obstacles -- 16.5.5 Dependency Obstacles -- 16.6 ENVIRONMENTS -- 16.7 OBJECTS/VEHICLES/WEAPONS -- Chapter 17: Stories and Games -- 17.1 Designing Stories for Games -- 17.2 Genres of Gameplay -- 17.2.1 First-Person Shooters -- 17.2.2 Third-Person Action -- 17.2.3 Head-to-Head Fighting. 17.2.4 Sports/Racing -- 17.2.5 Platformer -- 17.2.6 Sandbox -- 17.2.7 MMORPG -- 17.3 GameStory Interaction Modes -- 17.3.1 Parallel -- 17.3.2 Branching -- 17.3.3 Open -- 17.3.4 Scattered -- 17.3.5 Threaded -- 17.3.6 Converging -- 17.4 Story Modes for Games -- 17.4.1 Big Story/Little Story -- 17.4.2 The War Narrative -- 17.4.3 The Quest Narrative -- 17.4.4 Survival Narrative -- 17.4.5 Mystery Narrative -- 17.4.6 Cop/Criminal Narrative -- 17.4.7 The Hunting Narrative -- 17.5 Writing the Gamestory -- 17.5.1 Character Cards -- 17.5.2 Narrative Cards -- 17.5.3 Objective Cards -- 17.5.4 Obstacles Cards -- 17.5.5 Environment Cards -- 17.6 Designing the Player Experience -- 17.7 Essential Gamestory Player Experience Elements -- 17.7.1 Entry -- 17.7.2 Objectives -- 17.7.3 Dependencies -- 17.7.4 Narrative Interaction -- 17.7.5 Non-Player Characters -- 17.7.6 Maps -- 17.7.7 Objects/Weapons/Vehicles -- 17.7.8 Time Flow -- 17.7.9 AI -- 17.7.10 Persistence -- Chapter 18: Activities -- 18.1 WRITING THE SYNOPSIS -- 18.1.1 Synopsis: Tomar's Quest -- 18.2 BUILDING THE ELEMENTS -- 18.3 GAMESTORY DESIGN FLOWCHART -- Chapter 19: Conclusion -- Index. EBL201810 Computing and Computers SzGeCERN EBL Interactive mulitmedia-Design EBL Storytelling BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5475652 ebook n 201840 201810 21 PUBLIC BOOK DELETED 2641927 SzGeCERN 20210421204130.0 9783319688039 electronic version electronic version 9783319688039 print version 9783319688046 electronic version electronic version oai:cds.cern.ch:2641927 cerncds:BOOK EBL 5110716 eng TJ807-830TJ163.5.T7T 621.31/2136 Wagner, Hermann-Josef Introduction to wind energy systems basics, technology and operation 3rd ed. Cham Springer 2017 114 p ebook Green energy and technology Intro -- Preface -- Contents -- About the Authors -- List of Figures -- List of Tables -- 1 Wind Energy Today -- 1.1 Status -- 1.2 Advantages and Disadvantages of Wind Energy Systems -- 1.2.1 Advantages -- 1.2.2 Disadvantages -- 1.3 Different Types of Wind Energy Converters: An Overview -- Literatures -- 2 Wind: Origin and Local Effects -- 2.1 Origin and Global Availability -- 2.2 Different Wind Flows -- 2.3 Attractive Locations for Wind Energy -- 2.4 Local Effects on Wind Flow -- 2.4.1 Roughness Length and Wind Shear -- 2.4.2 Wind Speed Variability -- 2.4.3 Turbulence -- 2.4.4 Obstacles to Wind Flow -- 2.4.5 The Wind Wake and Park Effect -- 2.4.6 The Tunnel Effect and Hill Effect -- 2.5 Selecting a Turbine Site -- Literature -- 3 Physics of Wind Energy -- 3.1 Energy Content in Wind -- 3.2 Energy Conversion at the Blade -- 3.3 Power Coefficients and Principles of Design -- 3.3.1 Coefficient of Power cp and Betz' Law -- 3.3.2 Tip Speed Ratio -- 3.3.3 Power Efficiency -- 3.3.4 Principles of Design -- 3.4 Wind Variations -- 3.4.1 Wind Shear with Height -- 3.4.2 Influence of Weibull Distribution -- Literatures -- 4 Components of a Wind Energy Converter -- 4.1 Rotor Blades -- 4.2 Gearboxes -- 4.3 Generators -- 4.4 Towers -- 4.5 Miscellaneous Components -- 5 Design Considerations -- 5.1 Rotor Area of Turbines -- 5.2 Number of Blades -- 5.3 Horizontal or Vertical Axis Turbine -- 5.4 Upwind or Downwind Turbine -- 5.5 Load Considerations for Turbine Selection -- 5.6 Wind Turbines: With or Without Gearbox -- 5.7 Requirement of Grid, Synchronous or Asynchronous Generators -- 5.8 Issue of Noise and its Control -- Literatures -- 6 Operation and Control of Wind Energy Converters -- 6.1 Power Curve and Capacity Factor -- 6.1.1 Power Curve -- 6.1.2 Capacity Factor -- 6.2 Power Control of Wind Turbines -- 6.2.1 Pitch Control. 6.2.1.1 Running a Pitch Controlled Turbine at Variable Speed -- 6.2.2 Stall Control -- 6.2.2.1 Passive Stall Control -- 6.2.2.2 Active Stall Control -- 6.2.3 Yaw Control -- 6.3 Connection to the Grid -- 6.3.1 Applications of Wind Energy Converters -- 6.3.2 Voltage Requirement -- 6.3.3 Special Aspects of the Connection of Offshore Wind Parks -- Literatures -- 7 Economics and Policy Issues -- 7.1 Cost of Wind Turbines -- 7.1.1 Initial Cost of Wind Turbine -- 7.1.2 Operation and Maintenance Costs for Wind Turbines -- 7.2 Electrical Tariffs -- 7.3 Mechanisms to Support Funding -- 7.3.1 Capacity Credit -- 7.3.2 Environmental Credit and Clear Development Mechanism -- 7.3.3 Tax Benefits -- 7.4 Wind Energy Economics -- 7.4.1 Financing of Wind Park-A Case Study for India -- 7.4.2 Financing of a Wind Park-Description of a Case in Germany -- 7.5 Wind Turbines after Operational Life -- Literatures -- 8 Life Cycle Assessment of a Wind Farm -- 8.1 Basic Targets and Approach -- 8.2 Case Study of Alpha Ventus -- 8.2.1 Goal and Scope Definition -- 8.2.2 Inventory Analysis -- 8.2.3 Impact Assessment -- 8.2.4 Interpretation and Results -- 8.3 Payback Time -- Literatures -- 9 Outlook -- Literature -- About the Book -- Glossary -- Index. Serving as a first text on wind energy for scientists and for more general but no less interested readers, this book provides an introductory work that combines interdisciplinary scope with a simple, lucid style. EBL201810 SzGeCERN Engineering EBL Force and energy EBL Power (Mechanics) EBL Power resources EBL Renewable energy resources BOOK Mathur, Jyotirmay https://cds.cern.ch/auth.py?r=EBLIB_P_5110716 ebook 201810 n 201840 21 PUBLIC https://catalogue.library.cern/legacy/2641927 BOOK MIGRATED 2641904 SzGeCERN 20191219215655.0 9783642541421 electronic version electronic version 9783642541421 print version 9783642541438 electronic version electronic version oai:cds.cern.ch:2641904 cerncds:BOOK EBL 3093365 eng R857.B54 .B567 2014 610.28 Gu, Man Bock Biosensors based on aptamers and enzymes Berlin Springer 2014 338 p ebook Advances in biochemical engineering/biotechnology 140 Front -- Preface -- Contents -- 251 Future of Biosensors: A Personal View -- Abstract -- 1…Introduction -- 2…State of the Art -- 2.1 Blood Glucose Measurement -- 2.2 Immunoassays -- 2.3 Lab-on-a-Chip Technologies in Bioanalysis -- 3…Enabling Technologies: Physical, Chemical, and Biological Approaches -- 3.1 Graphene in Biosensor Applications -- 3.2 Aptamers and Molecularly Imprinted Polymers as Recognition Elements in Biomimetic Sensors -- 3.2.1 Aptamers -- 3.2.2 Antibody Mimics: Molecularly Imprinted Polymers -- 3.2.3 Catalytically Active Molecularly Imprinted Polymers -- 3.3 Cell-Free Synthesis of Biological Recognition Elements -- 4…Biosensors for Personalized Medicine -- 5…Outlook -- References -- 225 Advances in Aptamer Screening and Small Molecule Aptasensors -- Abstract -- 1…Introduction -- 2…Recent Advances in Aptamer Screening Methods -- 2.1 General Process of Aptamer Screening -- 2.2 Advanced Methods for Aptamer Screening -- 2.2.1 Oligonucleotide Libraries -- 2.2.2 Selection Methods -- 2.2.3 Target Features -- 3…Recent Advances in Aptasensors for Small Molecule Detection -- 3.1 Fluorescence-Based Analysis -- 3.2 Colorimetric Assay -- 3.3 Electrochemical Analysis -- 4…Future Perspectives -- References -- 223 Exploration of Structure-Switching in the Design of Aptamer Biosensors -- Abstract -- 1…Introduction -- 2…The Origin of Structure-Switching DNA Aptamers -- 3…Structure-Switching DNA Aptamers in Fluorescent Sensors -- 4…Structure-Switching DNA Aptamers in Electrochemical Sensors -- 5…Structure-Switching DNA Aptamers in Colorimetric Sensors -- 6…Structure-Switching RNA Aptamers -- 7…Concluding Thoughts -- References -- 242 DNAzyme-Functionalized Gold Nanoparticles for Biosensing -- Abstract -- 1…Introduction: DNAzymes and Gold Nanoparticles -- 2…DNAzyme-Functionalized Gold Nanoparticles for Biosensing. 2.1 Fabrication of DNA-Functionalized AuNPs -- 2.2 DNAzyme-Functionalized AuNPs for Biosensing -- 2.2.1 Nucleic Acid Cleaving/Ligating DNAzymes and AuNPs for Biosensing -- 2.2.2 Peroxidase-mimicking DNAzymes and AuNPs for Biosensing -- 2.2.3 DNAzyme-Functionalized AuNPs for Intracellular Biosensing -- 3…Summary and Outlook -- Acknowledgments -- References -- 231 Aptamer-Modified Nanoparticles as Biosensors -- Abstract -- 1…Introduction -- 2…Aptamers -- 2.1 Aptamer Folding and Target Recognition -- 2.2 Modification of Aptamers -- 3…Detection Modes of Aptamer-Based Biosensors -- 4…Aptamer-Modified Nanoparticles in Analytical Applications -- 4.1 Gold Nanoparticles -- 4.1.1 Colorimetric Sensing with Aptamer-Modified AuNPs -- 4.1.2 Fluorescence Sensing with Aptamer-Modified AuNPs -- 4.1.3 Electrochemical Sensing with Aptamer-Modified AuNPs -- 4.1.4 Other Sensing Techniques Applied to Aptamer-Modified AuNPs -- 4.2 Quantum Dots -- 4.3 Other Nanoparticles -- 4.3.1 Magnetic Nanoparticles -- 4.3.2 Silica Nanoparticles -- 4.3.3 DNA and Protein Nanoparticles -- 5…Aptamer-Modified Nanoparticles in Medical Applications -- 5.1 Detection of Soluble Biomarkers -- 5.2 Intracellular Detection -- 5.3 Detection of Cell Surface-Bound Biomarkers -- 5.3.1 Cell Targeting and Imaging -- 5.3.2 Detection of Pathogens -- 5.4 Targeted Drug Delivery -- 6…Summary, Conclusions, Outlook -- References -- 229 Electrochemical Aptasensors for Microbial and Viral Pathogens -- Abstract -- 1…Introduction -- 2…Aptasensors for Microbial and Viral Pathogen Detection -- 2.1 Detection of Whole Bacterial Cells -- 2.2 Detection of Bacterial Toxins -- 2.3 Detection of Whole Viral Particles -- 2.4 Detection of Viral Nucleic Acid -- 3…Aptasensors for Viability Assessment of Microorganisms -- 3.1 Viability Assessment of Bacteria -- 3.2 Viability Assessment of Viruses. 4…Aptasensors for Bacterial Typing -- 5…Aptasensors for Identification of Epitope-Specific Aptamers -- 6…Aptasensors for Affinity Estimation Between Aptamers and Their Targets -- 7…Aptasensors for Estimation of the Degree of Aptamer Protection of Oncolytic Viruses -- 8…Forthcoming Challenges and Concluding Remarks -- References -- 226 Electrochemical Biosensors Using Aptamers for Theranostics -- Abstract -- 1…Introduction -- 2…Aptamers -- 3…Electrochemical Biosensors Using Aptamers -- 3.1 Sandwich Assay -- 3.2 Signal Amplification in Sandwich Assay Format -- 3.3 Label-Free Aptamer Sensor -- 3.4 Aptamer Sensors Based on Conformational Change -- 3.5 Sensing System for POCT Using Aptamers -- 3.6 Future Perspective -- References -- 230 Enzymatic Glucose Biosensors Based on Nanomaterials -- Abstract -- 1…Introduction -- 2…Enzymatic Electrochemical Detection of Glucose Using Nanomaterials -- 2.1 Carbon Nanotubes -- 2.2 Mesoporous Carbon -- 2.3 Gold Nanoparticle -- 2.4 Magnetic Nanoparticle -- 3…Enzymatic Fluorescent Detection of Glucose Using Nanomaterials -- 4…Summary, Conclusions, Outlook -- Acknowledgments -- References -- 228 Cascadic Multienzyme Reaction-Based Electrochemical Biosensors -- Abstract -- 1…Introduction -- 2…Basic Principles of the Development of Cascadic Multienzyme Reaction-Based Electrochemical Biosensors -- 2.1 Cascadic Multienzyme Reaction for Enzymatic Analysis -- 2.2 Principles of the Electrochemical Signaling in a Cascadic Multienzymatic Electrochemical Biosensor -- 2.3 Enzyme Immobilization Strategies for the Construction of Multienzyme-Modified Electrodes -- 3…Practical Applications of Cascadic Multienzyme-Modified Biosensing Electrodes in Various Fields -- 3.1 Applications in Clinical Diagnostics -- 3.2 Applications in Food Analysis and Environmental Monitoring -- 4…Conclusion -- Acknowledgments -- References. 236 Protein Multilayer Architectures on Electrodes for Analyte Detection -- Abstract -- 1…Introduction -- 2…Multilayer Architectures: Assembly Methods -- 2.1 Biospecific Interactions -- 2.1.1 Biotin--Avidin Interaction -- 2.1.2 Lectin--Sugar Interaction -- 2.1.3 Antibody--Antigen Interaction -- 2.2 Covalent Binding/Cross-Linking -- 2.3 Electrostatic Interactions -- 3…Multilayer-Based Sensing Architectures Using Electrostatic Interactions of the Building Blocks -- 3.1 Polyelectrolyte-Based Biosensors -- 3.1.1 Polyelectrolyte-Based Monoprotein Systems -- 3.1.2 Polyelectrolyte-Based Multiprotein Systems -- 3.1.3 Polyelectrolyte-Based Immunosensors -- 3.1.4 Polyelectrolyte-Based DNA Biosensors -- 3.2 Nanomaterial-Based Biosensors -- 3.2.1 Multilayered Enzyme Sensors Based on Nanomaterials -- 3.2.2 Nanomaterial-Based Immunosensors -- 3.2.3 Nanomaterial-Based DNA Sensors -- 3.3 Protein--Protein Interaction-Based Biosensors -- 4…Summary -- References -- 224 Biosensors Based on Enzyme Inhibition -- Abstract -- 1…Introduction -- 2…Biosensors Based on Irreversible and Reversible Inhibition -- 3…Parameters Affecting the Analytical Performance of Reversible and Irreversible Inhibition Biosensors -- 3.1 Measurement Protocol -- 3.2 Immobilization -- 3.3 Effect of Incubation Time -- 3.4 Effect of Enzyme Loading -- 3.5 Effect of Substrate Concentration -- 3.6 Biosensor Stability -- 3.7 Transducer -- 3.8 Electrochemical Transduction -- 3.9 Optical Transduction -- 3.10 Surface Plasmon Resonance (SPR) Biosensor -- 3.11 Piezoelectric Transduction -- 3.11.1 Analytes -- Pesticides -- Heavy Metals -- Toxins -- Drugs and Clinical Application -- Others -- 4…Conclusion -- References -- Index. EBL201810 Health Physics and Radiation Effects SzGeCERN EBL Biosensors BOOK Kim, Hak-Sung https://cds.cern.ch/auth.py?r=EBLIB_P_3093365 ebook n 201840 201810 21 PUBLIC BOOK DELETED 2641897 SzGeCERN 20181121232417.0 9783527639892 (electronic bk.) electronic version 9783527321209 electronic version 9783527321209 print version oai:cds.cern.ch:2641897 cerncds:BOOK EBL 1411628 eng QD505.M6 2012 541.395 Deutschmann, Olaf Modeling and simulation of heterogeneous catalytic reactions from the molecular process to the technical system Weinheim John Wiley & Sons 2013 372 p ebook Modeling and Simulation of Heterogeneous Catalytic Reactions -- Contents -- Preface -- List of Contributors -- 1 Modeling Catalytic Reactions on Surfaces with Density Functional Theory -- 1.1 Introduction -- 1.2 Theoretical Background -- 1.2.1 The Many-Body Problem -- 1.2.2 Born-Oppenheimer Approximation -- 1.2.3 Wave Function-Based Methods -- 1.2.3.1 Hartree-Fock Approximation -- 1.2.3.2 Post Hartree-Fock Methods -- 1.2.4 Density-Based Methods -- 1.2.4.1 The Thomas-Fermi Model -- 1.2.4.2 The Hohenberg-Kohn Theorems -- 1.2.4.3 The Kohn-Sham Equations -- 1.2.4.4 Exchange-Correlation Functionals -- 1.2.5 Technical Aspects of Modeling Catalytic Reactions -- 1.2.5.1 Geometry Optimizations -- 1.2.5.2 Transition-State Optimizations -- 1.2.5.3 Vibrational Frequencies -- 1.2.5.4 Thermodynamic Treatments of Molecules -- 1.2.5.5 Considering Solvation -- 1.2.6 Model Representation -- 1.2.6.1 Slab/Supercell Approach -- 1.2.6.2 Cluster Approach -- 1.3 The Electrocatalytic Oxygen Reduction Reaction on Pt(111) -- 1.3.1 Water Formation from Gaseous O2 and H2 -- 1.3.1.1 O2 Dissociation -- 1.3.1.2 OOH Formation -- 1.3.1.3 HOOH Formation -- 1.3.2 Simulations Including Water Solvation -- 1.3.2.1 Langmuir-Hinshelwood Mechanisms -- 1.3.2.2 Eley-Rideal Reactions -- 1.3.3 Including Thermodynamical Quantities -- 1.3.3.1 Langmuir-Hinshelwood and Eley-Rideal Mechanisms -- 1.3.4 Including an Electrode Potential -- 1.4 Conclusions -- References -- 2 Dynamics of Reactions at Surfaces -- 2.1 Introduction -- 2.2 Theoretical and Computational Foundations of Dynamical Simulations -- 2.3 Interpolation of Potential Energy Surfaces -- 2.4 Quantum Dynamics of Reactions at Surfaces -- 2.5 Nondissociative Molecular Adsorption Dynamics -- 2.6 Adsorption Dynamics on Precovered Surfaces -- 2.7 Relaxation Dynamics of Dissociated H2 Molecules. 2.8 Electronically Nonadiabatic Reaction Dynamics -- 2.9 Conclusions -- References -- 3 First-Principles Kinetic Monte Carlo Simulations for Heterogeneous Catalysis: Concepts, Status, and Frontiers -- 3.1 Introduction -- 3.2 Concepts and Methodology -- 3.2.1 The Problem of a Rare Event Dynamics -- 3.2.2 State-to-State Dynamics and kMC Trajectories -- 3.2.3 kMC Algorithms: from Basics to Efficiency -- 3.2.4 Transition State Theory -- 3.2.5 First-Principles Rate Constants and the Lattice Approximation -- 3.3 A Showcase -- 3.3.1 Setting up the Model: Lattice, Energetics, and Rate Constant Catalog -- 3.3.2 Steady-State Surface Structure and Composition -- 3.3.3 Parameter-Free Turnover Frequencies -- 3.3.4 Temperature-Programmed Reaction Spectroscopy -- 3.4 Frontiers -- 3.5 Conclusions -- References -- 4 Modeling the Rate of Heterogeneous Reactions -- 4.1 Introduction -- 4.2 Modeling the Rates of Chemical Reactions in the Gas Phase -- 4.3 Computation of Surface Reaction Rates on a Molecular Basis -- 4.3.1 Kinetic Monte Carlo Simulations -- 4.3.2 Extension of MC Simulations to Nanoparticles -- 4.3.3 Reaction Rates Derived from MC Simulations -- 4.3.4 Particle-Support Interaction and Spillover -- 4.3.5 Potentials and Limitations of MC Simulations for Derivation of Overall Reaction Rates -- 4.4 Models Applicable for Numerical Simulation of Technical Catalytic Reactors -- 4.4.1 Mean Field Approximation and Reaction Kinetics -- 4.4.2 Thermodynamic Consistency -- 4.4.3 Practicable Method for Development of Multistep Surface Reaction Mechanisms -- 4.4.4 Potentials and Limitations of the Mean Field Approximation -- 4.5 Simplifying Complex Kinetic Schemes -- 4.6 Summary and Outlook -- References -- 5 Modeling Reactions in Porous Media -- 5.1 Introduction -- 5.2 Modeling Porous Structures and Surface Roughness -- 5.3 Diffusion -- 5.4 Diffusion and Reaction. 5.5 Pore Structure Optimization: Synthesis -- 5.6 Conclusion -- References -- 6 Modeling Porous Media Transport, Heterogeneous Thermal Chemistry, and Electrochemical Charge Transfer -- 6.1 Introduction -- 6.2 Qualitative Illustration -- 6.3 Gas-Phase Conservation Equations -- 6.3.1 Gas-Phase Transport -- 6.3.2 Chemical Reaction Rates -- 6.3.3 Boundary Conditions -- 6.4 Ion and Electron Transport -- 6.5 Charge Conservation -- 6.5.1 Effective Properties -- 6.5.2 Boundary Conditions -- 6.5.3 Current Density and Cell Potential -- 6.6 Thermal Energy -- 6.7 Chemical Kinetics -- 6.7.1 Thermal Heterogeneous Kinetics -- 6.7.2 Charge Transfer Kinetics -- 6.7.3 Butler-Volmer Formulation -- 6.7.4 Elementary and Butler-Volmer Formulations -- 6.8 Computational Algorithm -- 6.9 Button Cell Example -- 6.9.1 Polarization Characteristics -- 6.9.2 Electric Potentials and Charged Species Fluxes -- 6.9.3 Anode Gas-Phase Profiles -- 6.9.4 Anode Surface Species Profiles -- 6.9.5 Applicability and Extensibility -- 6.10 Summary and Conclusions -- 6.10.1 Greek Letters -- References -- 7 Evaluation of Models for Heterogeneous Catalysis -- 7.1 Introduction -- 7.2 Surface and Gas-Phase Diagnostic Methods -- 7.2.1 Surface Science Diagnostics -- 7.2.2 In Situ Gas-Phase Diagnostics -- 7.3 Evaluation of Hetero/Homogeneous Chemical Reaction Schemes -- 7.3.1 Fuel-Lean Combustion of Methane/Air on Platinum -- 7.3.1.1 Heterogeneous Kinetics -- 7.3.1.2 Gas-Phase Kinetics -- 7.3.2 Fuel-Lean Combustion of Propane/Air on Platinum -- 7.3.3 Fuel-Lean Combustion of Hydrogen/Air on Platinum -- 7.3.4 Fuel-Rich Combustion of Methane/Air on Rhodium -- 7.3.5 Application of Kinetic Schemes in Models for Technical Systems -- 7.4 Evaluation of Transport -- 7.4.1 Turbulent Transport in Catalytic Systems -- 7.4.2 Modeling Directions in Intraphase Transport -- 7.5 Conclusions -- References. 8 Computational Fluid Dynamics of Catalytic Reactors -- 8.1 Introduction -- 8.2 Modeling of Reactive Flows -- 8.2.1 Governing Equations of Multicomponent Flows -- 8.2.2 Turbulent Flows -- 8.2.3 Three-Phase Flow -- 8.2.4 Momentum and Energy Equations for Porous Media -- 8.3 Coupling of the Flow Field with Heterogeneous Chemical Reactions -- 8.3.1 Given Spatial Resolution of Catalyst Structure -- 8.3.2 Simple Approach for Modeling the Catalyst Structure -- 8.3.3 Reaction Diffusion Equations -- 8.3.4 Dusty Gas Model -- 8.4 Numerical Methods and Computational Tools -- 8.4.1 Numerical Methods for the Solution of the Governing Equations -- 8.4.2 CFD Software -- 8.4.3 Solvers for Stiff ODE and DAE Systems -- 8.5 Reactor Simulations -- 8.5.1 Flow through Channels -- 8.5.2 Monolithic Reactors -- 8.5.3 Fixed Bed Reactors -- 8.5.4 Wire Gauzes -- 8.5.5 Catalytic Reactors with Multiphase Fluids -- 8.5.6 Material Synthesis -- 8.5.7 Electrocatalytic Devices -- 8.6 Summary and Outlook -- References -- 9 Perspective of Industry on Modeling Catalysis -- 9.1 The Industrial Challenge -- 9.2 The Dual Approach -- 9.3 The Role of Modeling -- 9.3.1 Reactor Models -- 9.3.2 Surface Science and Breakdown of the Simplified Approach -- 9.3.3 Theoretical Methods -- 9.4 Examples of Modeling and Scale-Up of Industrial Processes -- 9.4.1 Ammonia Synthesis -- 9.4.2 Syngas Manufacture -- 9.4.2.1 Steam Reforming -- 9.4.2.2 Autothermal Reforming -- 9.5 Conclusions -- References -- 10 Perspectives of the Automotive Industry on the Modeling of Exhaust Gas Aftertreatment Catalysts -- 10.1 Introduction -- 10.2 Emission Legislation -- 10.3 Exhaust Gas Aftertreatment Technologies -- 10.4 Modeling of Catalytic Monoliths -- 10.5 Modeling of Diesel Particulate Filters -- 10.6 Selective Catalytic Reduction by NH3 (Urea-SCR) Modeling -- 10.6.1 Kinetic Analysis and Chemical Reaction Modeling. 10.6.1.1 NH3 Adsorption, Desorption, and Oxidation -- 10.6.1.2 NO-SCR Reaction -- 10.6.1.3 NH3-NO-NO2 Reactions -- 10.6.2 Influence of Washcoat Diffusion -- 10.7 Diesel Oxidation Catalyst, Three-Way Catalyst, and NOx Storage and Reduction Catalyst Modeling -- 10.7.1 Diesel Oxidation Catalyst -- 10.7.2 Three-Way Catalyst -- 10.7.3 NOx Storage and Reduction Catalyst -- 10.7.3.1 Species Transport Effects Related to NSCR: Shrinking Core Model -- 10.7.3.2 NH3 Formation During Rich Operation within a NSRC -- 10.8 Modeling Catalytic Effects in Diesel Particulate Filters -- 10.9 Determination of Global Kinetic Parameters -- 10.10 Challenges for Global Kinetic Models -- 10.11 System Modeling of Combined Exhaust Aftertreatment Systems -- 10.12 Conclusion -- References -- Index. The Nobel Prize in Chemistry 2007 awarded to Gerhard Ertl for his groundbreaking studies in surface chemistry highlighted the importance of heterogeneous catalysis not only for modern chemical industry but also for environmental protection. Heterogeneous catalysis is seen as one of the key technologies which could solve the challenges associated with the increasing diversification of raw materials and energy sources. It is the decisive step in most chemical industry processes, a major method of reducing pollutant emissions from mobile sources and is present in fuel cells to produce electricity. The increasing power of computers over the last decades has led to modeling and numerical simulation becoming valuable tools in heterogeneous catalysis. This book covers many aspects, from the state-of-the-art in modeling and simulations of heterogeneous catalytic reactions on a molecular level to heterogeneous catalytic reactions from an engineering perspective. This first book on the topic conveys expert knowledge from surface science to both chemists and engineers interested in heterogeneous catalysis. The well-known and international authors comprehensively present many aspects of the wide bridge between surface science and catalytic technologies, including DFT calculations, reaction dynamics on surfaces, Monte Carlo simulations, heterogeneous reaction rates, reactions in porous media, electro-catalytic reactions, technical reactors, and perspectives of chemical and automobile industry on modeling heterogeneous catalysis. The result is a one-stop reference for theoretical and physical chemists, catalysis researchers, materials scientists, chemical engineers, and chemists in industry who would like to broaden their horizon and get a substantial overview on the different aspects of modeling and simulation of heterogeneous catalytic reactions. EBL201810 Chemical Physics and Chemistry SzGeCERN EBL Heterogeneous catalysis -- Computer simulation BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1411628 ebook n 201840 201810 21 PUBLIC BOOK DELETED 2641354 SzGeCERN 20210421204143.0 9783319974415 print version 9783319974422 electronic version electronic version 9783319974439 print version DOI 10.1007/978-3-319-97442-2 ebook oai:cds.cern.ch:2641354 cerncds:BOOK eng QA315-316 QA402.3 QA402.5-QA402.6 515.64 23 Dynamics of disasters algorithmic approaches and applications Cham Springer 2018 ebook Springer optimization and its applications 1931-6828 140 Evacuation trees with contraow and divergence considerations -- Modelling possible oil spills in the Barents Sea and their consequences -- Prospects and Bottlenecks of Reciprocal Partnerships between the Private and Humanitarian: Sectors in Cash Transfer Programming for Humanitarian Response -- Advances in Disaster Communications: Broadband Systems for First Responders -- Equilibrium Analysis for Common-Pool Resources -- A Multitiered Supply Chain Network Equilibrium Model for Disaster Relief with Capacitated Freight Service Provision -- A Variational Equilibrium Network Framework for Humanitarian Organizations in Disaster Relief: Effective Product Delivery Under Competition for Financial Funds -- A humanitarian logistics case study for the intermediary phase accommodation center for refugees and other humanitarian disaster victims. . This book surveys new algorithmic approaches and applications to natural and man-made disasters such as oil spills, hurricanes, earthquakes and wildfires. Based on the “Third International Conference on Dynamics of Disasters” held in Kalamata, Greece, July 2017, this Work includes contributions in evacuation logistics, disaster communications between first responders, disaster relief, and a case study on humanitarian logistics. Multi-disciplinary theories, tools, techniques and methodologies are linked with disasters from mitigation and preparedness to response and recovery. The interdisciplinary approach to problems in economics, optimization, government, management, business, humanities, engineering, medicine, mathematics, computer science, behavioral studies, emergency services, and environmental studies will engage readers from a wide variety of fields and backgrounds. . Mathematics and statistics SPR201810 SzGeCERN Mathematical Physics and Mathematics SPR Emergency medicine SPR Emergency Services SPR Game Theory, Economics, Social and Behav Sciences BOOK Kotsireas, Ilias ed. Nagurney, Anna ed. Pardalos, Panos ed. SPR n 201840 201810 21 PUBLIC https://catalogue.library.cern/legacy/2641354 BOOK MIGRATED 2641337 SzGeCERN 20210421204144.0 9783319747835 print version 9783319747842 electronic version electronic version 9783319747859 print version DOI 10.1007/978-3-319-74784-2 ebook oai:cds.cern.ch:2641337 cerncds:BOOK eng QB1-991 520 23 De Blasio, Fabio Vittorio Mysteries of Mars Cham Springer 2018 ebook Popular astronomy Part I: Mars through the millennia -- Mars as a heavenly warrior -- Mars with its odd orbit enters science -- Schiaparelli, Lowell, and the Martians -- Martian engineers or Martian lichens? -- Mars as seen by Mariners and Vikings -- A long interval and the return to Mars -- Technical box: Sending a spacecraft to Mars -- Mars in its orbit -- The big disappointment -- The rocks of the Martian surface -- The final answer -- Part II: history and geography of Mars -- The geography of Mars, shortly -- The interior of Mars -- Mystery No. 1. Why has Mars no magnetic field ? -- Ancient Mars: the Noachian period -- Mystery No. 2: Has Mars ever had a plate tectonics ? -- A tour on Noachian terrains of Mars: Noachis Terra -- The middle period: the Hesperian -- A tour on the Hesperian outflow channels -- The last period: the Amazonian -- Geological formations of Mars -- Part III: Processes at the surface of Mars -- Martian mountains -- The northern lowlands -- Mystery No. 3: What is the origin of the global dichotomy, which divides so sharply the North from the South of Mars? -- The giant impact basins on Mars -- Technical box: Impact cratering on Earth and Mars -- Valles Marineris -- Mistery No. 4: How were the Valles Marineris formed? -- The volcanoes of Mars -- Technical: Volcanic eruptions on Earth and Mars -- Mystery No. 5: Enigmatic mountains and mysterious geological formations (the strange arc of Acheron, the halos of Olympus Mons, Vastitas Borealis and Medusae Fossae formations) -- Part IV: an exhibition of martian images -- Fractures -- Ice-related landforms -- Technical box: Optical images, infrared, radar maps. How data are acquired from remote sensing -- Catastrophic landslides -- Mystery No. 6: Great Ice age on Mars ? -- Morphologies due to wind -- Morphologies due to water -- Mystery No. 7: Was there an ocean on Mars? -- Breathtaking views -- Mystery No. 8: The enigmatic outflow channels -- Part V: The atmosphere, climate and life on Mars -- The atmosphere of Mars -- Dust devils -- The atmosphere of Mars -- The ice caps -- Mystery No. 9: How has the atmosphere of Mars changed? And what happened to the once abundant water ? -- The search for life on Mars -- Martian meteorites -- Mystery No. 10: Is there or was there life on Mars ? -- Ancient civilization on Mars ? -- Upcoming missions to Mars -- How to get to Mars and back -- Colonize Mars ? -- Terraforming -- Technical appendices -- Martian data -- Planitiae, Fossae, Terrae: Nomenclature of planetary geology -- Missions to: past, current, future. This book introduces the reader to the wonders of Mars, covering all aspects from our past perceptions of the planet through to the latest knowledge on its history, its surface processes such as impact cratering, volcano formation, and glaciation, and its atmosphere and climate. In addition, a series of ten intriguing open issues are considered in a more advanced way. These include such thought-provoking questions as What turned off the planet’s magnetic field?, Why are the northern and southern hemispheres so different?, What was the fate of the once abundant water?, and Is there, or was there, life on Mars? Numerous original figures, unavailable elsewhere, reproduce details of images from Viking, CTX, MOC, HiRISE, THEMIS, and HRSC.  The book will appeal especially to general readers interested in planetary sciences, astronomy, astrogeology, and space exploration and to students of Earth Sciences and Natural and Environmental Sciences. The higher-level material on the remaining mysteries of Mars will also be of interest to astrogeologists and other researchers. Physics and astronomy SPR201810 SzGeCERN Astrophysics and Astronomy SPR Planetary science SPR Planetology SPR Astrobiology SPR Planetary Sciences SPR Popular Earth Science BOOK SPR n 201840 201810 21 PUBLIC https://catalogue.library.cern/legacy/2641337 BOOK MIGRATED 2640972 20250120183312.0 oai:cds.cern.ch:2640972 cerncds:FULLTEXT CERN-STUDENTS-Note-2018-174 eng Spessot, Davide AUTHOR|(CDS)2313916 AUTHOR|(SzGeCERN)829533 davide.spessot@cern.ch An improvement on Arduino-based system for environmental monitoring in the CMS detector 2018 CERN Geneva 01 Oct 2018 This paper studies the possibility for an upgrade of the existing implementation of the sensor network deployed for environmental monitoring at the Compact Muon Solenoid detector (CMS). The proposed implementation introduces a more reliable error handling protocol and a higher reliability, made possible by the integration of the measurements into the PLC-based Tracker control system. CERN EDS SzGeCERN Physics in General CERN INTNOTE PUBL CERN. Geneva. Department http://cds.cern.ch/record/2640972/files/Report_CERN.pdf Access to fulltext ana.djordjevic@cern.ch n 201840 12 PUBLIC https://repository.cern/legacy/record/2640972 INTNOTEPUBL NOTE MIGRATED 2649467 20251201182810.0 oai:cds.cern.ch:2649467 cerncds:TALK eng CERN. Geneva Workshop: An engineering perspective on risk assessment: from theory to practice CERN - 80-1-001 - Globe of Science and Innovation - 1st Floor 2018-11-26T14:20:00 2018-11-26T14:40:00 750140c3 ESS fire- and explosion safety programme - deterministic and probabilistic conditions – case study on acceptance criteria to open smoke hatches in the instrument building. 2018 2018-11-26 1073 Streaming video HSE Workshop Workshop: An engineering perspective on risk assessment: from theory to practice 2018-11-26T14:20:00 <!--HTML-->A number of Swedish acts and ordinances give the basic requirements of facility safety. None of these are tailored for ESS, hence interpretation is required for appropriate application. The Licensee shall as far as reasonable possible, based on existing technical experience and economical and social circumstances, undertake measures to limit 1) production of radioactive waste, 2) release of radioactive substances and 3) exposure to environment from ionizing radiation, ref. Radiation Protection Act (2018:396). Applicable legislative conditions go in to the design. As an example of that is the planning- and building act which requires implementation of: e.g. fire rated partitioning, emergency lights and fire alarm. The defence-in-depth approach (DID) is derived from the radiation protection act by the ESS-0001051 “Protection against fire and explosion”. The DID is an important factor of justification to keep fire and explosion at the predicted frequency and consequence. The DID for fire safety sets the deterministic foundation by; 1) preventing the start of fire by housekeeping, to apply proven electrical installation standards etc. 2) quickly detecting and extinguishing the design fires 3) preventing spread of any fire that has not been extinguished. The DID for explosion safety sets the deterministic foundation by 1) preventing explosions by minimizing formation of explosive atmospheres 2) minimizing the risk of an explosion if an explosive atmosphere cannot be avoided 3) implementing design provisions necessary to limit the consequences of an explosion. The Swedish Radiation Safety Authority has released “Special conditions for the ESS facility in Lund”, ESS-0018828. The special conditions set numeric acceptance criteria for potential risk of radiation exposure to public: - For the following event classes the reference values, shall apply as a maximum limit for radiological ambient consequences for the facility. Event class:
Anticipated events (H2) – 0,1 mSV, Unanticipated events (H3) – 1,0 mSv, Improbable events (H4A)- 20 mSv, Events with multiple failures (H4B) – 20 mSv, Highly improbable events (H5) – 100 mSv. Fire- and explosions in the vicinity of radiation sources are initiating events with the potential to expose the environment with contaminated products. Hence fire- and explosions have to be quantified regarding frequency and their potential consequences. Statistics on fire and explosions from particle physics accelerators should justify probability of having a fire or explosion resulting in environmental consequences from ionizing radiation. Lack of co-ordination and assembled data makes it difficult to justify statistics on fire and explosions at particle physics accelerators. The “Future Circular Colllider” project elaborated on a pilot case where statistical data based nuclear power plant statistics (apriori data from OECD FIRE Database) were applied on particle physics accelerators (posteori data by the use of DOE accelerator statistics). Case study – Is it acceptable for Rescue Leader to open the smoke hatches in case of fire in the instrument building? Smoke hatches are installed in the roof of the instrument halls. Fire modelling is performed to optimize evacuation logistics of occupants and protection of the structural steel. A full cover wet-pipe sprinkler is installed in the ceiling. In case of a severe fire scenario the sprinkler should be activated to suppress the fire before the smoke hatches are opened otherwise the sprinkler may not succeed to suppress the fire. Manual opening of the smoke hatches from a panel at ground floor is in design. In case of a severe fire scenario radioactive particles may also be dispersed with buoyance from the fire. The question is if it is acceptable to open the smoke hatches even if there is a risk of spread of radioactive particles to the atmosphere? An early estimation included all potential ionizing nuclides inside an instrument hall during normal operation. A conservative assumption was that all nuclides are carried out through the smoke hatches by the fire. The total effective dose is 0,04 μSv to public (From inhalation 0.032 μSv and from external gamma radiation 0.012 μSv). An unanticipated event (H3) allows 1 mSv to public. Hence any interlock of the smoke hatches should not be necessary. However if the accident originate from the target itself, the radioactive exposure may be different. A master thesis project was performed by Ettore Carini in 2017, ESS-0190288 “Modelling and assessment of the dispersion of particles in the ESS instrument hall”. The supervisors were: Fredrik Jörud (ESS), Per Nilsson (ESS), Bjarne Husted (LTH), Anders Schmidt Kristensen (Aalborg university). The scenario set up is based on explosion in target area resulting in further fire in electronics and combustible shielding inside the instrument building. The scenario is regarded as worst case when it comes to consider ionizing particles released in the instrument building. Probably the scenario can be regarded as a highly improbable event (H5). The thesis provides for expected behavior of the radioactive particles and to what extent they escape from the instrument hall if the smoke hatches are open. “Ansys Fluent” is considered suitable CFD software for modelling this fire simulation. CERN 2018 HSE Workshop Event TALK CERN Jörud, Fredrik speaker European Spallation Source https://indico.cern.ch/event/750140/contributions/3111349/ Talk details https://indico.cern.ch/event/750140/ Event details MediaArchive /mnt/master_share/master_data/2018/750140c3 Absolute master path MediaArchive /2018/750140c3/750140c3_en.vtt subtitle subtitle English MediaArchive /2018/750140c3/750140c3_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2018/750140c3/thumbs/20181126142112.png pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2018/750140c3/750140c3_desktop_slides_1080p_4000.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 4000 MediaArchive https://lecturemedia.cern.ch/2018/750140c3/750140c3_desktop_slides_360p_800.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 800 MediaArchive https://lecturemedia.cern.ch/2018/750140c3/750140c3_desktop_slides_480p_1000.mp4 video/mp4 Content: presentation. Resolution: 853x480. Baudrate: 1000 MediaArchive https://lecturemedia.cern.ch/2018/750140c3/750140c3_desktop_slides_720p_2000.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 2000 MediaArchive https://lecturemedia.cern.ch/2018/750140c3/750140c3_desktop_camera_1080p_4000.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 4000 MediaArchive https://lecturemedia.cern.ch/2018/750140c3/750140c3_desktop_camera_360p_800.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 800 MediaArchive https://lecturemedia.cern.ch/2018/750140c3/750140c3_desktop_camera_480p_1000.mp4 video/mp4 Content: presenter. Resolution: 853x480. Baudrate: 1000 MediaArchive https://lecturemedia.cern.ch/2018/750140c3/750140c3_desktop_camera_720p_2000.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 2000 jodie.ridewood@cern.ch La Mendola, Saverio CERN 2018-08-13T13:24:00 2018-11-30T13:59:45 PUBLIC INDICO.750140c3 https://videos.cern.ch/legacy/record/2649467 Indico CMTE MIGRATED 2648388 SzGeCERN 20210422083329.0 9783540161158 print version 9783642826665 electronic version electronic version 9783642826672 print version 9783642826689 print version DOI 10.1007/978-3-642-82666-5 e-proceedings oai:cds.cern.ch:2648388 cerncds:CONF eng QC120-168.85 QA808.2 531 23 IUTAM Symposium on Hydrodynamics of Ocean Wave-Energy Utilization Lisbon, Portugal 8 - 11 Jul 1985 1985 lisbon850708 PT 19850711 19850708 Berlin Springer 1986 ebook IUTAM symposia The Hydrodynamic Efficiency of Wave-Energy Devices -- Progress on Edinburgh Ducks -- TAPCHAN -- Development of the Kvaerner Multiresonant OWC -- The Circular Sea Clam Wave Energy Converter -- Optimization of Wave Energy Absorber of an Attenuator OWC Device with an Air Turbine -- On the Experimental Investigation of a Wave Power Converter -- Design Optimization of Axi-symmetric Tail Tube Buoys -- Physical and Mathematical Modelling of a Point Absorber Wave Energy Conversion System with Nonlinear Damping -- Progress in China’s Developmental Research on Wave Energy -- Wave climate and the wave power resource -- Wave Power Climate of Portugal -- Oceanographic Design Criteria and Site Selection for Ocean Wave Energy Conversion -- Accuracy of the Estimate of Extreme Wave Conditions -- On-line Identification and Prediction of Waves -- Extreme Wave Heights along the Norwegian Coast -- Wave Forces on a Horizontal, Submerged, Spinning Cylinder -- The Concept of a Bipartite Point Absorber -- Thrust Generation by a Hydrofoil Driven by Waves — A Basic Aspect of Wave Devouring Propulsion -- Wave Energy Absorption Characteristics of Circular Air-Chamber for Use of Light Beacon Fixed on Sunken Rock -- Heaving Point Absorbers Reacting against an Internal Mass -- Phase Control for the Oscillating Water Column -- Wave Energy Absorption in Irregular Waves by Feedforward Control System -- Latching Control of an Oscillating Water Column Device with Air Compressibility -- Increase in Absorbed Wave Energy by the Phase Control for Air Flow on OWC Wave Power Device -- Simulation of a Pneumatic Wave-Power Buoy with Phase Control -- Dynamic Response and Input Adaptive Maximum Energy Converting Control of an Ocean Wave Energy Converter -- A Comparative Evaluation of Numerical Methods in Free-Surface Hydrodynamics -- Survival of Surface-Piercing Wave Energy Devices in Extreme Waves -- Progress on Flap-type Wave Absorbing Devices -- Three-Dimensional Analysis of Oscillating-Water-Column Terminator Devices in Obliquely Incident Waves -- Hydrodynamic Analysis and Design Method of OWC Wave Energy Convertors -- Wave Interaction with Oscillating Bodies and Water Columns -- The Radiation and Scattering of Long Water Waves -- Investigation of Wave Focusing over a Parabolic Step -- An Experience of Wave Power Generator through Tests and Improvement. The papers which follow were presented at an International Sym­ posium held in Lisbon from 8-11 July 1985 on the Hydrodynamics of Ocean Wave-Energy Utilization and sponsored by the Interna­ tional Union of Theoretical and Applied Mechanics. The subject of the Symposium embraced wave statistics, numerical methods, theoretical, experimental and field studies of wave­ energy devices. The idea of extracting useful energy from ocean waves continues to attract the curiosity of scientists and engineers in many parts of the world as the following papers indicate. Increasing­ ly the trend is towards smaller devices suitable for use near remote island communities where wave power, as an alternative to costly diesel fuel for electric generators, is already very competitive in economic terms. The decision to build two different prototype wave-power devices into the cliffs off Bergen in Norway has provided a welcome impetus to the field, stimulating a large amount of theoretical work on oscillating water column-type devices. In particular phase control methods - in which force and velocity of a rigid body, or pressure and volume flux across a turbine are matched in phase to achieve maximum power output - rightfully occupy a central place in the papers that follow. In addition to the established workers in the field, a new ge­ neration of wave-energy enthusiasts is emerging, learning from the mistakes of others and contributing exciting ideas of both a conceptual and practical nature. Physics and astronomy SPR201811 SzGeCERN Other Fields of Physics SPR Mechanics SPR Renewable energy sources SPR Hydraulic engineering SPR Environmental pollution SPR Classical Mechanics SPR Renewable and Green Energy SPR Geoengineering, Foundations, Hydraulics SPR Waste Water Technology Water Pollution Control Water Management Aquatic Pollution CONFERENCE PROCEEDINGS Evans, David ed. Falcão, António ed. SPR n 201847 42 PUBLIC https://catalogue.library.cern/legacy/2648388 PROCEEDINGS MIGRATED 2648387 SzGeCERN 20210422083330.0 9780306404221 print version 9781468410426 electronic version electronic version 9781468410433 print version 9781468410440 print version DOI 10.1007/978-1-4684-1042-6 e-proceedings oai:cds.cern.ch:2648387 cerncds:CONF eng R726.7 23 616.89 19790326 NATO International Workshop on Coping and Health Bellagio, Italy 26 - 30 Mar 1979 1979 bellagio790326 IT 19790330 Boston, MA Springer 1980 ebook NATO conference series. III, human factors 12 Environmental Contingencies as Sources of Stress in Animals -- Psychobiology of Coping in Animals: The Effects of Predictability -- Associative and Non-Associative Mechanisms in the Development of Tolerance for Stress -- Associative and Non-Associative Mechanisms in the Development of Tolerance for Stress: The Problem of State-Depéndent Learning -- A Coping Model of Mother-Infant Relationships -- Contingent Stimulation: A Review of its Role in Early Development -- Early Adolescence as a Life Stress -- When is a Little Information a Dangerous Thing? Coping with Stressful Events by Monitoring vs. Blunting -- Managing the Stress of Aging: The Role of Control and Coping -- Psychobiological Aspects of Life Stress -- Adrenocortical Responses of Humans to Group Hierarchy, Confinement and Social Interaction -- Coping with Mental Work Load -- Personality, Activation and Somatic Health: A New Psychosomatic Theory -- Gastric Ulceration in the Rat: An Experimental Approach to Psychosomatics -- Coping and Health — A Clinician’s Perspective -- A Perspective on the Effects of Stress and Coping on Disease and Health -- Contributors. This volume contains fifteen papers by invited participants delivered at the NATO International Workshop on Coping and Health held March 26 through March 30, 1979, at the Rockefeller Foundation's Bellagio study and Conference Center, Bellagio, Italy. The editors of the book were co-directors of the workshop as well as participants. The conference was a small conference consisting of only 20 scientists and was designed to be an intensive period of exchange of ideas dealing with a range of topics varying from experimental models of coping through coping and its psychosomatic implications. The exceptional beauty of the Bellagio Study and Conference Center, the hospitality of the staff at the Conference Center as well as the support of the administrative staff of the Rockefeller Foundation, combined with the intensity and enthusiasm of the participants made the conference a most memorable one for those who attended it. A special thanks is in order for the help and assistance of Dr. B. A. Bayraktar, Executive Officer of Human Factors Program, Scientific Affairs Division, NATO, and Miss Susan Garfield, Program Director of the Rockefeller Foundation. Needless to say, without their participation and help at all points in the organization and planning of this conference, the conference would not have occurred. Physics and astronomy SPR201811 SzGeCERN Health Physics and Radiation Effects SPR Health Psychology PROCEEDINGS CONFERENCE Levine, Seymour ed. Ursin, Holger ed. SPR n 201847 42 PUBLIC https://catalogue.library.cern/legacy/2648387 PROCEEDINGS MIGRATED 2648386 SzGeCERN 20210422083331.0 9780792317302 print version 9789048141586 print version 9789401710459 electronic version electronic version 9789401710466 print version DOI 10.1007/978-94-017-1045-9 e-proceedings oai:cds.cern.ch:2648386 cerncds:CONF eng QD505 23 541.395 19910721 NATO Advanced Research Institute on Chemistry and Chemical Engineering of Catalytic Solid Fuel Conversion for the Production of Clean Synthetic Fuels Akcay, Turkey 21 Jul - 3 Aug 1991 1991 akcay910721 TR 19910803 Dordrecht Springer 1992 ebook NATO ASI series. Series C, mathematical and physical sciences 370 1389-2185 This volume contains the lectures presented at the Advanced Study Institute on "Chemistry and Chemical Engineering of Catalytic Solid Fuel Conversion for the Production of aean Synthetic Fuels" which was held at Ak~;ay, Edremit, Tiirkiye, between July 21 and August 3, 1991. The book includes 23 chapters originally written for the meeting by distinguished scientists an technologists in the field. l would like to acknowledge the contribution of each of the authors in the book. Their efforts have shed light on our understanding in coal science research and better utilization of coal. Three main subjects: structure and reactivity of coal; cleaning of coal and its products, and factors affecting environmental balance of energy usage and solutions for future, were discussed in the Institute and these are presented under six groups in the book. I hope that of great use to research workers from academic and industrial background. the book will be Many people contributed to the success of the Institute on which this volume was based. I take this occasion to thank my colleagues who lectured in the Institute, both for their efforts during the two weeks and their expertly prepared lecture notes that reached to me in time. The Institute was generously sponsored by the Scientific and Environmental Affairs Dh·ision of the NATO and their contribution is deeply acknowledged. Physics and astronomy SPR201811 SzGeCERN Chemical Physics and Chemistry SPR Catalysis SPR Chemistry, Physical organic SPR Environmental management SPR Physical Chemistry SPR Environmental Management PROCEEDINGS CONFERENCE Yürüm, Yuda ed. Clean utilization of coal : coal structure and reactivity, cleaning and environmental aspects SPR n 201847 42 PUBLIC https://catalogue.library.cern/legacy/2648386 PROCEEDINGS MIGRATED 2648383 SzGeCERN 20210422083333.0 9780306405761 print version 9781468410686 electronic version electronic version 9781468410693 print version 9781468410709 print version DOI 10.1007/978-1-4684-1068-6 e-proceedings oai:cds.cern.ch:2648383 cerncds:CONF eng BF201 23 153 19790903 2nd Conference on Processing of Visible Language Ontario, Canada 3 - 7 Sep 1979 1979 ontario790903 2 CA 19790907 Boston, MA Springer 1980 ebook NATO conference series. III, human factors 13 Principles of writing systems within the frame of visual communication (Tutorial paper) -- English shorthand systems and abbreviatory conventions: A psychological perspective -- Remarks on ancient Egyptian writing with emphasis on its mnemonic aspects -- The Korean writing system: An alphabet? a syllabary? a logography? -- A structure for nontextual communications (Tutorial paper) -- The syntax of pictorial instructions -- Making newspaper graphs fit to print -- Some problems of illustration -- Islamic calligraphy: Meaning and symbol -- Usability: The criterion for designing written information (Tutorial paper) -- Wholistic models of feature analysis in word recognition: A critical examination -- Developmental trends in the perception of textual cohesion -- Structuring an internal representation of text: A basis of literacy -- Graphic aspects of complex texts: Typography as macro-punctuation -- Pictures and the real thing (Tutorial paper) -- The influence of texture gradients on relief interpretation from isopleth maps -- The acquisition and processing of cartographic information: Some preliminary experimentation -- Graph reading abilities of thirteen-year-olds -- Interpreting directions from graphic displays: Spatial frames of reference -- The presentation of text and graphics (Tutorial paper) -- Spacing of characters on a television display -- Optimal segmentation for sentences displayed on a video screen -- Text enhancement and structuring in computer conferencing -- Towards an electronic journal -- Human performance in computer aided writing and documentation -- Human-computer interactive systems: A state-of-the-art review (Tutorial paper) -- Simultaneous speech transcription and TV captions for the deaf -- Pictorial recognition and teaching the blind to draw -- Telidon Videotex and user-related issues -- Human factors and VDT design -- Theory of representation: Three questions (Tutorial paper) -- Textual literacy: An outline sketch of psychological research on reading and writing -- Anaphoric relations, comprehension and readability -- Communicating with computers -- Towards a model for picture and word processing -- The basic test of the graph: A matrix theory of graph construction and cartography -- Name index. The second symposium on processing visible language constituted a different "mix" of participants from the first. Greater emphasis was given to the design of language, both in its historical development and in its current display; and to practical questions associated with machine-implementation oflanguage, in the interactions of person and computer, and in the characteristics of the physical and environmental objects that affect the interaction. Another change was that a special session on theory capped the proceedings. Psychologists remained heavily involved, however, both as contributors to and as discussants of the work pre­ sented. The motivation of the conferences remains one of bringing together graphic designers, engineers, and psychologists concerned with the display and acquisition of visible language. The papers separately tended to emphasize the one of the three disciplines that mark their authors' field of endeavor, but are constructed to be general rather than parochial. Moreover, within the three disciplines, papers emphasized either the textual or the more pictorial aspects. For example, a session on writing systems ranged from principles that seem to characterize all such systems to specific papers on ancient Egyptian writing, modern Korean, and English shorthand. The complementary session on the nontextual media opened with a discussion of general principles of pictorial communication and included papers on communicating instructions, general information, or religious belief through designs and other pictorial forms, as well as a discussion. of misrepresentation. Physics and astronomy SPR201811 SzGeCERN Computing and Computers SPR Consciousness SPR Cognitive Psychology PROCEEDINGS CONFERENCE Kolers, Paul ed. Wrolstad, Merald ed. Bouma, Herman ed. SPR n 201847 42 PUBLIC https://catalogue.library.cern/legacy/2648383 PROCEEDINGS MIGRATED 2648358 SzGeCERN 20210421203923.0 9781785615801 electronic version electronic version 9781785615801 print version 9781785615818 electronic version electronic version oai:cds.cern.ch:2648358 cerncds:BOOK EBL 5567152 eng 621.3824 Farina, Alfonso The impact of cognition on radar technology Stevenage Institution of Engineering & Technology 2017 309 p ebook Electromagnetics and radar Intro -- Content -- Foreword -- Acknowledgments -- Notation -- About the Editors -- 1. Introduction to cognitive radar with an industrial point of view - A. Farina -- 1.1 Introduction -- 1.2 Why cognition in radar? The role of human operators and of a computer-based radar task scheduler -- 1.2.1 Use of the phased-array antenna in radar systems -- 1.2.2 Use of variable dwell time -- 1.2.3 Use of variable data rate -- 1.2.4 The system manager -- 1.3 To what extent can today's phased-array radars be considered cognitive? -- 1.4 What's next -- 1.5 Operational requirements -- 1.6 Enabling key technologies: just a taste -- 1.7 Adaptivity and brain -- 1.7.1 Brain… few basic notions -- 1.8 Brain inspired radar design -- 1.9 Conclusion -- Acknowledgments -- References -- 2. Cognitive radar inspired by the brain - Simon Haykin, Yanbo Xue, and Peyman Setoodeh -- 2.1 Introduction -- 2.2 Fuster's paradigm of cognition -- 2.3 Engineering perspective of cognition -- 2.4 Perception-action cycle -- 2.4.1 Bayesian filtering for optimal perception in the receiver -- 2.4.2 Shannon's entropy vs. Fisher information -- 2.4.3 Posterior Cramér-Rao lower bound -- 2.4.4 Sensitivity analysis -- 2.4.5 Dynamic programming for control in the transmitter -- 2.5 Memory -- 2.5.1 Perceptual memory -- 2.5.2 Executive memory -- 2.5.3 Working memory -- 2.6 Attention -- 2.7 Intelligence -- 2.8 Cyclic-directed information flow -- 2.8.1 Perceptual pathway -- 2.8.2 Executive pathway -- 2.8.3 How can we build on the directed information-flow graph to better understand the role of memory in cognition? -- 2.9 Experimental groundwork -- 2.9.1 State-space model -- 2.9.2 Construction of the two libraries -- 2.9.3 Performance metric -- 2.9.4 Track initialization -- 2.9.5 Memory -- 2.10 Experimental results: theoretical considerations -- 2.10.1 Posterior Cramér-Rao lower bound. 2.10.2 Tracking accuracy -- 2.11 Experimental results: practical considerations -- 2.12 Conclusion -- References -- 3. Cognitive radar and its application to CFAR detection and receiver adaptation - A. De Maio, A. Farina, A. Aubry, V. Carotenuto, and L. Pallotta -- 3.1 Introduction -- 3.2 Existing examples of cognitive properties in modern radars -- 3.3 Cognitive CFAR-processing techniques -- 3.4 Exploiting multiple a priori spectral models for detection -- 3.5 Selected reference list on cognitive radar -- 3.6 Conclusion -- References -- 4. Cognitive radar waveform design for spectral compatibility - A. De Maio, A. Farina, A. Aubry, V. Carotenuto, and L. Pallotta -- 4.1 Introduction -- 4.2 System and problem formulation -- 4.2.1 System model -- 4.2.2 Code design optimization formulation -- 4.2.3 Cognitive spectrum awareness -- 4.3 Solution algorithm and performance analysis -- 4.3.1 Local design solution technique -- 4.4 Conclusion -- Appendix A -- A.1 Waveform design algorithm for global interference requirements -- A.2 Waveform design algorithm for local interference requirements -- References -- 5. Cognitive optimization of the transmitter-receiver pair - A. De Maio, A. Farina, A. Aubry, V. Carotenuto, and L. Pallotta -- 5.1 Introduction -- 5.2 System model and problem formulation -- 5.2.1 System model -- 5.2.2 The role of cognition for environmental awareness -- 5.2.3 Code and receive filter bank optimization problem formulation -- 5.3 Joint transmit receive design: solution-technique and analysis -- 5.3.1 Performance analysis -- 5.4 Conclusion -- Appendix A -- Alternating optimization procedure to jointly design transmit signal and receive filter bank -- A.1 Filter bank optimization: solution to problem Pw (n) -- A.2 Radar code optimization: solution to problem Ps (n) -- A.3 Transmit-receive system design: optimization procedure -- References. 6. Cognitive control theory with an application - Mehdi Fatemi and Simon Haykin -- 6.1 Introduction -- 6.2 The two-state model -- 6.3 Formalism of the learning process in cognitive control -- 6.4 Cognitive-control-learning algorithm viewed as a special case of Bellman's dynamic programming -- 6.5 Optimality vs. convergence-rate in online implementation -- 6.6 Formalism of the planning process in cognitive control -- 6.6.1 Predicting the entropic reward in a Gaussian environment -- 6.7 Structural composition of the cognitive controller -- 6.8 Computational experiment: cognitive-tracking radar -- 6.8.1 Scenario 1: the impact of planning on cognitive control -- 6.8.2 Scenario 2: comparison of learning curves of three different cognitive controllers -- 6.9 Conclusion -- 6.9.1 Cognitive processing of information -- 6.9.2 Linearity, convergence, and optimality -- 6.9.3 Engineering application -- Appendix A -- References -- 7. Cognition in radar target tracking - A. De Maio, A. Farina, A. Aubry, V. Carotenuto, and L. Pallotta -- 7.1 Introduction -- 7.2 Cognitive multitarget tracking system -- 7.2.1 General architecture of the tracking filter -- 7.2.2 Cognitive tracker architecture -- 7.3 Waveform selection for target tracking -- 7.3.1 Waveform scheduling strategy -- 7.3.2 Case study -- 7.4 Conclusion -- References -- 8. Anticipative target tracking with related study cases - A. Farina -- 8.1 Introduction -- 8.1.1 Anticipative target tracking -- 8.1.2 The case of MH370 -- 8.2 Coordination of fore-active control and optimal guidance law for an interceptor study case -- 8.2.1 List of symbols -- 8.2.2 Introduction -- 8.2.3 Theoretical framework -- 8.2.4 Case study -- 8.2.5 Simulation results -- 8.2.6 Discussion -- 8.3 Conclusion -- References. 9. An overview on the exploitation of cognition in MIMO radar, electronic warfare, and synthetic aperture radar - A. Aubry, V. Carotenuto, A. De Maio, A. Farina, G. Fornaro, L. Pallotta, and A. Pauciullo -- 9.1 Introduction -- 9.2 Cognitive MIMO radar beampattern shaping -- 9.3 Cognition in EW systems -- 9.4 Advanced concepts in SAR: exploitation of cognition -- 9.4.1 3D localization and monitoring of displacements with interferometry -- 9.4.2 SAR tomography and complex domain analysis of the scattering in multibaseline SAR -- 9.4.3 Knowledge-based and cognitive concepts in SAR -- 9.5 Conclusion -- References -- 10. A cross-disciplinary overview with potential application and examples for cognitive radar - A. Farina -- 10.1 Introduction -- 10.2 From information to intelligence…to exploit in cognitive radar -- 10.2.1 Birth certificate of the information age: the Annus Mirabilis 1948 -- 10.2.2 Path forward to intelligence theory: perhaps! -- 10.3 Modeling everything with the new science of network -- 10.3.1 Some mathematical properties of networks -- 10.4 Bioinspired collective processing -- 10.4.1 Potential applications to cognitive radar -- 10.5 Mirror neurons: one of the most exciting events in neuroscience. Does it matter to cognitive radar? -- 10.5.1 Who discovered the mirror neuron phenomenon? -- 10.5.2 Potential impact of research on adaptive radar signal processing -- 10.6 Additional recent researchers on neurosciences -- 10.7 Memristors: the missing fourth element of circuits -- 10.7.1 Potential modeling of synapse and axon via memristors -- 10.8 The cybersecurity issue of a radar network -- 10.9 Conclusion -- Acknowledgments -- References -- Index. This book is an essential exploration of the application of cognitive concepts in the development of modern phased array radar systems for surveillance. EBL201811 Engineering SzGeCERN BOOK De Maio, Antonio Haykin, Simon https://cds.cern.ch/auth.py?r=EBLIB_P_5567152 ebook n 201847 201811 21 PUBLIC https://catalogue.library.cern/legacy/2648358 BOOK MIGRATED 2648351 SzGeCERN 20210421203926.0 9781119509301 electronic version electronic version 9781119509318 electronic version electronic version 9781119509318 print version oai:cds.cern.ch:2648351 cerncds:BOOK EBL 5561046 eng 621.319 Sallam, Abdelhay A Electric distribution systems 2nd ed. Newark, NJ John Wiley & Sons 2018 627 p ebook IEEE Press series on power engineering Intro -- ELECTRIC DISTRIBUTION SYSTEMS -- Contents -- Preface -- Part I: Fundamental Concepts -- Part II: Protection and Switchgear -- Part III: Power Quality -- Part IV: Management and Automation -- Part V: Distributed Energy Resources and Microgrids -- Acknowledgments -- Part 1 Fundamental Concepts -- 1 Introduction -- 1.1 Introduction and Background -- 1.2 Power System Structure -- 1.3 Distribution Level -- 1.4 General -- 2 Distribution System Structure -- 2.1 Distribution Voltage Levels -- 2.2 Distribution System Configuration -- 2.2.1 MV Distribution Networks -- 2.2.2 LV Distribution Networks -- 2.2.3 Comparison of North American and European Systems -- 2.3 General Comments -- 3 Distribution System Planning -- 3.1 Duties of Distribution System Planners -- 3.2 Factors Affecting the Planning Process -- 3.2.1 Demand Forecasts -- 3.2.2 Planning Policy -- 3.2.3 CM -- 3.2.4 Reliability Planning Standards -- 3.3 Planning Objectives -- 3.3.1 Load Forecasting -- 3.3.2 Power Quality -- 3.3.3 Compliance with Standards -- 3.3.4 Investments -- 3.3.5 Distribution Losses -- 3.3.6 Amount of LOL -- 3.4 Solutions for Meeting Load Forecasts -- 3.4.1 Network Solutions -- 3.4.2 Nonnetwork Solutions -- 4 Load Forecasting -- 4.1 Introduction -- 4.2 Important Factors for Forecasts -- 4.3 Forecasting Methodology -- 4.3.1 Extrapolation Technique -- 4.3.2 Correlation Technique -- 4.3.3 Method of Least Squares -- 4.3.4 STLF Techniques -- 4.3.5 Medium and Long-Term Load Forecasting Methods -- 4.4 Spatial Load Forecasting (SLF) -- 4.4.1 Main Aspects of SLF -- 4.4.2 Analysis Requirements -- 4.4.3 Load, Coincidence and Diversity Factors -- 4.4.4 Measuring and Recording Load Behavior -- 4.5 End-Use Modeling -- 4.6 Spatial Load Forecast Methods -- 4.6.1 Trend Methods -- Part 2 Protection and Switchgear -- 5 Earthing of Electric Distribution Systems -- 5.1 Basic Objectives. 5.2 Earthing Electrical Equipment -- 5.2.1 General Means -- 5.2.2 Substation Earthing -- 5.3 System Earthing -- 5.3.1 Unearthed Systems -- 5.3.2 Earthed Systems -- 5.3.3 Purpose of System Earthing -- 5.3.4 Definitions [36] -- 5.3.5 Methods of System Neutral Earthing [36] -- 5.3.6 Creating Neutral Earthing -- 5.4 MV Earthing Systems -- 5.4.1 Influence of MV Earthing Systems -- 5.4.2 MV Earthing Systems Worldwide -- 5.5 Earthing Systems in LV Distribution Networks -- 5.5.1 IT Earthing System -- 5.5.2 TT Earthing System -- 5.5.3 TN Earthing System -- 5.5.4 LV Earthing Systems Worldwide -- 6 Short-Circuit Studies -- 6.1 Introduction -- 6.2 Short-Circuit Analysis -- 6.2.1 Nature of Short-Circuit Currents -- 6.2.2 Calculation of Short-Circuit Current -- 7 Protection: Current-Based Schemes -- 7.1 Introduction -- 7.1.1 Protection System Concepts -- 7.2 Types of Relay Construction -- 7.2.1 Electromagnetic Relays -- 7.2.2 Static Relays -- 7.2.3 Digital Relays -- 7.3 Overcurrent Protection -- 7.3.1 Overcurrent Relays -- 7.3.2 Coordination of Overcurrent Relays -- 7.3.3 Earth-Fault Protection -- 7.4 Directional Protection -- 7.4.1 Directional Overcurrent Relays -- 7.4.2 Directional Relays Operation -- 7.4.3 Directional Earth-Fault Protection -- 7.5 Differential Protection -- 7.5.1 Motor Differential Protection -- 7.5.2 Generator Differential Protection -- 7.5.3 Transformer Differential Protection -- 7.5.4 Differential Protection of Buses -- 7.5.5 Differential Protection of Cables and Lines -- 8 Protection: Other Schemes -- 8.1 Overvoltage Protection -- 8.1.1 Types of Overvoltages -- 8.1.2 Methods of Overvoltage Protection -- 8.2 Thermal Protection -- 8.3 Reclosers, Sectionalizers, Fuses -- 8.3.1 Reclosers -- 8.3.2 Sectionalizers -- 8.3.3 Fuses -- 8.3.4 Coordination of Reclosers, Sectionalizers and Fuses -- 9 Switchgear Devices -- 9.1 Need for Switchgear. 9.2 MV Switchgear Devices -- 9.2.1 Definitions -- 9.2.2 Knife Switches -- 9.2.3 LBSs -- 9.2.4 Earthing Switches -- 9.2.5 CBs -- 9.3 LV Switchgear Devices -- 9.3.1 Isolators -- 9.3.2 LBS -- 9.3.3 Contactors -- 9.3.4 Fuse Switch -- 9.3.5 LV CBs -- 9.4 Protection Classes -- 9.5 Specifications and Implementation of Earthing -- 9.6 Assessment of Switchgear -- 9.7 Safety and Security of Installations -- 9.8 Application Trends in MV Switchgear -- 10 Switchgear Installation -- 10.1 Steps for Installing Switchgear -- 10.2 Switchgear Layout -- 10.2.1 Environmental Requirements -- 10.2.2 Types of Switchgear Installations -- 10.3 Dimensioning of Switchgear Installations -- 10.3.1 Dimensioning of Insulation -- 10.3.2 Insulation Coordination -- 10.3.3 Dimensioning of Bus-Bar Conductors for Mechanical Short-Circuit Strength -- 10.3.4 Mechanical Short-Circuit Stresses on Cables and Cable Fittings -- 10.3.5 Dimensioning for Thermal Short-Circuit Strength -- 10.3.6 Dimensioning for Continuous Current Rating -- 10.4 Civil Construction Requirements -- 10.4.1 Indoor Installations -- 10.4.2 Outdoor Installations -- 10.4.3 Transformer Installation -- 10.4.4 Ventilation of Switchgear Installations -- 10.5 ARC-Flash Hazards -- 10.5.1 Causes of Arcing Faults -- 10.5.2 Arc-Flash Consequences -- 10.5.3 Limits of Approach -- 10.5.4 PPE Hazard Risk Categories -- 10.5.5 Calculation Methods -- 10.5.6 Selection of Calculation Method -- 10.5.7 Mitigation of Arc-Flash Hazards -- Part 3 Power Quality -- 11 Electric Power Quality -- 11.1 Overview -- 11.2 Power Quality Problems -- 11.2.1 Typical Power Quality Problems -- 11.2.2 Case Studies -- 11.3 Cost of Power Quality -- 11.3.1 Power Supply Quality -- 11.3.2 QC -- 11.3.3 Economic Profit -- 11.3.4 A Case Study -- 11.4 Solutions of Power Quality Problems -- 11.4.1 Examples of Power Quality Devices. 11.5 Solution Cycle for Power Quality Problems -- 12 Voltage Variations -- 12.1 Voltage Quality -- 12.1.1 Voltage Drop -- 12.1.2 Voltage Sags -- 12.1.3 Flicker -- 12.1.4 Voltage Swells -- 12.1.5 Transient Overvoltages -- 12.2 Methods of Voltage Drop Reduction -- 12.2.1 Application of Series Capacitors -- 12.2.2 Adding New Lines -- 12.2.3 Regulating the Voltage -- 12.2.4 Applying Shunt Capacitors -- 12.3 Voltage SAG Calculations -- 12.3.1 Sampling Rate -- 12.3.2 Magnitude of Voltage Sag -- 12.3.3 Duration of Voltage Sag -- 12.3.4 Voltage Sag Phase-Angle Changes -- 12.3.5 Illustrative Example -- 12.4 Estimation of Distribution Losses -- 12.4.1 A Top-Down Approach -- 13 Power Factor Improvement -- 13.1 Background -- 13.2 Shunt Compensation -- 13.3 Need for Shunt Compensation -- 13.4 An Example -- 13.5 How to Determine Compensation -- 14 Harmonics in Electric Distribution Systems -- 14.1 What are Harmonics? -- 14.2 Sources of Harmonics -- 14.3 Disturbances Caused by Harmonics -- 14.3.1 Technical Problems -- 14.3.2 Economic Problems -- 14.4 Principles of Harmonic Distortion Indications and Measurement -- 14.4.1 PF -- 14.4.2 rms Value -- 14.4.3 Crest Factor -- 14.4.4 Power and Harmonics -- 14.5 Frequency Spectrum and Harmonic Content -- 14.5.1 Individual Harmonic Distortion -- 14.5.2 THD -- 14.5.3 Relation Between PF and THD -- 14.6 Standards and Recommendations -- 15 Harmonics Effect Mitigation -- 15.1 Introduction -- 15.2 First Class of Solutions -- 15.2.1 Supplying the Loads from Upstream -- 15.2.2 Grouping the Disturbing Loads -- 15.2.3 Supplying the Loads from Different Sources -- 15.3 Second Class of Solutions -- 15.3.1 Use of Transformers with Special Connections -- 15.3.2 Use of Inductors -- 15.3.3 Arrangement of System Earthing -- 15.3.4 Use of Six-Pulse Drive -- 15.4 Third Class of Solutions -- 15.4.1 Passive Filters -- 15.4.2 AFs. 15.4.3 Hybrid Filters -- 15.5 Selection Criteria -- 15.6 Case Studies -- 15.6.1 General -- 15.6.2 Need for Shunt Capacitors -- 15.6.3 Effects of Harmonics on PF Capacitors -- 15.6.4 PF Correction for a Pipe Welding Industry -- 15.6.5 Crane Applications-Suez Canal Container Terminal (SCCT) -- 15.6.6 Principles to Specify AFs -- Part 4 Management and Automation -- 16 Demand-Side Management and Energy Efficiency -- 16.1 Overview -- 16.2 DSM -- 16.3 Needs to Apply DSM -- 16.4 Means of DSM Programs -- 16.5 International Experience with DSM -- 16.6 Potential for DSM Application -- 16.6.1 Peak Demand Savings -- 16.6.2 Energy Consumption Savings -- 16.7 The DSM Planning Process -- 16.8 Expected Benefits of Managing Demand -- 16.9 Energy Efficiency -- 16.10 Scenarios Used for Energy-Efficiency Application -- 16.11 Economic Benefits of Energy Efficiency -- 16.12 Application of Efficient Technology -- 16.12.1 Lighting -- 16.12.2 Motors -- 16.12.3 Heating -- 16.12.4 Pumps -- 17 Scada Systems -- 17.1 Introduction -- 17.2 Definitions -- 17.2.1 A Scada System -- 17.2.2 Telemetry -- 17.2.3 Data Acquisition -- 17.3 SCADA Components -- 17.3.1 Instrumentation (First Component) -- 17.3.2 Remote Stations (Second Component) -- 17.3.3 Communication Networks (Third Component) -- 17.3.4 MTU (Fourth Component) -- 17.4 SCADA Systems Architectures -- 17.4.1 Hardware -- 17.4.2 Software -- 17.5 SCADA Applications -- 17.5.1 Substation Automation -- 17.5.2 Commercial Office Buildings -- 17.5.3 Power Factor Correction System -- 17.6 SCADA and Grid Modernization -- Part 5 Distributed Energy Resources and Microgrids -- 18 Distributed Generation -- 18.1 Power Systems and Distributed Generation -- 18.2 Performance of Distributed Generators -- 18.2.1 Microturbines -- 18.2.2 Wind Turbines -- 18.2.3 Photovoltaic Devices -- 18.2.4 Solar Thermal Technology -- 18.2.5 Fuel Cells. 18.2.6 Diesel Generators. EBL201811 SzGeCERN Engineering BOOK Malik, Om P 1st ed. 2010 1481023 edition https://cds.cern.ch/auth.py?r=EBLIB_P_5561046 ebook 201811 n 201847 21 PUBLIC https://catalogue.library.cern/legacy/2648351 BOOK MIGRATED 2648343 SzGeCERN 20210421203927.0 9780128148815 electronic version electronic version 9780128148815 print version 9780128148822 electronic version electronic version oai:cds.cern.ch:2648343 cerncds:BOOK EBL 5554543 eng 621.312134 Khare, Vikas Tidal energy systems design, optimization and control San Diego, CA Elsevier 2018 418 p ebook Front Cover -- Tidal Energy Systems: Design, Optimization and Control -- Copyright -- Contents -- About the Authors -- Chapter 1: Introduction to Energy Sources -- 1.1. Energy and Its Transformation -- 1.2. Types of Energy Sources -- 1.2.1. Primary and Secondary Energy -- 1.2.2. Commercial Energy and Noncommercial Energy -- 1.3. Nonrenewable Energy Resource -- 1.3.1. Categories of Nonrenewable Resources for Electricity Generation -- 1.4. Renewable Energy Sources for Electricity Generation -- 1.4.1. Mainstream Renewable Technologies -- Solar Energy System -- Wind Energy System -- Horizontal and Vertical Axis Wind Turbine -- Biomass Energy System -- Biomass Conversion Process to Useful Electrical Energy -- Thermal Conversion -- Chemical Conversion -- Geothermal Energy -- Low Temperature Resources: Heating -- High Temperature Resources: Electricity -- Working of a Conventional Geothermal Power Plant -- Wave Energy -- Wave Energy Resources -- Power Associated to a Sea Wave -- Hydro Energy System -- Hydro Power Basics: Head and Flow -- Power and Energy -- 1.5. Worldwide Current Scenario of Renewable Energy System -- 1.6. Environmental Aspects of Renewable Energy Sources -- 1.6.1. Environmental Impacts of Different Technologies -- Environmental Impacts of Wind Power -- Environmental Impacts of Solar Power -- Environmental Impacts of Geothermal Energy -- Environmental Impacts of Biomass -- Environmental Impacts of Hydroelectric Power -- Exercise -- Objective Type Question -- Descriptive Type Question -- Further Reading -- Chapter 2: Introduction of Tidal Energy -- 2.1. Historical and Parallel Scenario -- 2.1.1. Introduction -- 2.1.2. Global Scenario of Tidal Energy Systems -- 2.1.3. Indian Scenario of Tidal Energy System -- 2.1.4. Assessment of Tidal Energy System -- Sihwa Lake Tidal Power Station, South Korea-254MW. La Rance Tidal Power Plant, France-240MW -- Swansea Bay Tidal Lagoon, United Kingdom-240MW -- MeyGen Tidal Energy Project, Scotland-86MW -- Annapolis Royal Generating Station, Canada-20MW -- 2.2. Role of Tidal Energy in Nonconventional Energy Sources -- 2.3. Basic Principle of Tidal Power Plants -- 2.3.1. How the Tide Generates -- 2.3.2. Principles of Tidal Power Stations -- 2.3.3. Single-Basin System -- 2.3.4. Two-Way Tidal Barrage Generations -- 2.3.5. Two-Basin Tidal Energy Systems -- Double-Basin System -- 2.3.6. Double-Basin With Linked Basin Operation -- 2.3.7. Double-Basin With Paired-Basin Operation -- 2.4. Available Technology and Concepts -- 2.4.1. Available Recent Technologies and Concepts -- Advantages and Critical Points of Overtopping Converter -- Basic OWC Components -- 2.5. Component of a Tidal Power Plant -- Tidal System Component Classification Layer Description -- 2.5.1. Types of Turbines -- 2.5.2. Tidal Steam Generator -- How Does It Work? -- Advantages of Tidal Stream Generators -- Disadvantages of Tidal Stream Generators -- 2.5.3. Tidal Lagoon -- 2.5.4. The Lagoon Wall -- 2.6. Estimation of Energy Calculation -- Ocean With Single Basin Tidal Project -- 2.7. Tidal Dynamic and Structure of Tidal Currents -- 2.7.1. Tidal Current -- Mathematical Function of Tidal Structure -- 2.8. Merits and Demerits of Tidal Energy Systems -- List of Advantages of Tidal Energy -- List of Disadvantages of Tidal Energy -- Numerical -- Exercise -- Numerical -- Objective-Type Question -- References -- Chapter 3: Prefeasibility Assessment of a Tidal Energy System -- 3.1. Site Survey and Feasibility -- 3.1.1. Resource Assessment Models -- One-Dimensional Resource Assessment -- Two-Dimensional Resource Assessment -- Three Dimensional Resource Assessments -- 3.1.2. Numerical Models for Resource Assessment -- 3.1.3. Theoretical Tidal Current Energy Resource. 3.1.4. Technical Tidal Current Energy Resource -- 3.1.5. Practical Tidal Current Energy Resource Assessment -- 3.1.6. Accessible Tidal Current Energy Resource -- 3.1.7. Viable Tidal Current Energy Resource -- 3.1.8. Quantification of Tidal-Stream Resource -- 3.1.9. Resource Assessment by Regression Analysis -- 3.1.10. Software Used in Resource Assessment -- 3.2. Distances From the Load Center -- 3.2.1. Critical Path Method to Assess Duration to Generate Energy From a Tidal Power Plant -- Advantages of CPM -- 3.3. Physical Boundaries of Assessment -- 3.3.1. Technical Boundaries -- 3.3.2. Geographical Boundaries -- 3.3.3. Surface Boundary Conditions -- Momentum -- Heat -- Fresh Water -- Lateral Boundary Condition -- Bottom Boundary Conditions -- Open Boundary Conditions -- Boundary Condition for Time (Initial Condition) -- Important Points Related to Physical Boundaries -- 3.3.4. Functional Physical Boundaries of Assessment -- 3.4. Static v/s Transect Field Survey -- 3.4.1. Quantitative Observations Through Static and Transect Survey -- Qualitative Observations (Roving Surveys) -- Data Analysis -- 3.4.2. The Challenge of Measuring Water Currents -- 3.5. Location Assessment by Farm Method -- 3.5.1. Tidal Optimal Unit Using Dynamic Programming Method -- 3.6. Resource Assessment by Flux Method -- 3.6.1. Maximum Steady-State Power Through Tidal Power Station -- 3.6.2. Transmission Line Analogy of a Tidal Power Plant -- Primary Constant of a Transmission Line -- Secondary Constant of a Transmission Line -- 3.6.3. Voltage Regulation of a Tidal Power Plant at a Suitable Site -- 3.7. Prefeasibility Assessment With Detailed Project Report Preparation and Appraisal -- 3.7.1. Simple Payback Period -- Advantages -- Limitations -- 3.7.2. Return on Investment (ROI) -- Limitations -- 3.7.3. Net Present Value of a Tidal Power Plant. 3.7.4. Internal Rate of Return of a Tidal Power Plant -- Advantages -- Exercise -- Numerical -- Objective-Type Questions -- References -- Further Reading -- Chapter 4: Optimum Sizing and Modeling of Tidal Energy Systems -- 4.1. Introduction -- 4.2. Modeling of Tidal Energy Conversion Systems -- 4.2.1. Modeling of a Tidal Energy System by HOMER Software -- Modeling of Diesel Generator for Tidal Power Plant -- Modeling of Battery Bank for Tidal Power Plant -- 4.2.2. Modeling of 9MW Tidal Power Plant Through MATLAB -- 4.2.3. Tidal Energy Device Variability -- 4.2.4. Characteristics of Towing Tanks -- 4.2.5. Limitations With Physical Model Effects for TECs -- 4.2.6. Water Tunnel -- Characteristics of Enclosed Water Tunnels -- 4.2.7. TIDAL Basin -- 4.2.8. Tidal Energy Framework -- Component Classification Layer Description -- Hydrodynamic System -- We have divided the working phenomena of the above components into seven segments: -- 4.2.9. Modeled Processes -- 4.3. Numerical Solution of Tidal Energy System -- 4.3.1. Swell Effect (Long-Length) Tidal -- 4.3.2. Energy Generation Through Tidal Power Plant -- Basin Scale -- 4.3.3. Pressure Wave Velocity in Conduit -- 4.3.4. Head Loss Due to Friction -- 4.3.5. Tidal Current Modeling -- 4.4. Modeling of a Tidal Current Turbine -- 4.4.1. Turbine Power Output -- 4.4.2. The Power in the Tides -- 4.4.3. Forces on Blades and Torque of Tidal Turbine -- 4.4.4. Mathematical Modeling of Hydraulic Turbine -- 4.5. Tidal Energy Facility Size -- 4.5.1. Functional Requirements -- 4.5.2. Basic Requirements Imposed for Tidal Energy Generation by Grid Codes -- 4.5.3. Grid-Connected Marine Energy Infrastructures -- Electrical Connection Functional Requirements -- 4.5.4. Electrical Configurations Schemes -- AC Transmission-HVAC Transmission -- Possible Configurations -- DC Transmission -- HVDC VSC -- Possible Configurations. 4.5.5. Elements of a Grid Connection Infrastructure -- Cable Connectors -- 4.5.6. Offshore Substation -- Subsea Cable -- 4.5.7. Technical Issues Related to AC transmission -- 4.5.8. Tidal Measurement Devices -- Acoustic Doppler Profile -- Radar Systems -- Tide Gauge -- Wave and Tide Sensor -- Features -- 4.5.9. Software Used in Modeling of a Tidal Power Plant -- Tidal Farmer -- WaveDyn -- Steps of a Tidal Turbine Power Plant -- Inverter/UPS Rating -- Required Number of Batteries -- Backup Hours of Batteries -- Battery Charging Time -- Charging Current for Batteries -- Charging Time Required for Battery -- DC Load Is Connected As Well As Battery Charging -- Rating of Charge Controller -- Exercise -- Exercise -- References -- Further Reading -- Chapter 5: Control System of Tidal Power Plant -- 5.1. Introduction -- 5.2. Automatic Control of a Tidal Power Plant -- Need for automatic control of tidal power plant: -- 5.2.1. Control System for Unit Operation -- 5.2.2. Information and Control Signals -- 5.2.3. Local Manual (Mechanical or Push Button) Control -- 5.2.4. Local Control of Unit From UCB -- 5.2.5. Control of Unit of Central Control Room and Off Site Supervisory Control -- 5.2.6. Synchronizing of a Tidal Energy System -- Manual Synchronizing -- Automatic Synchronizing -- 5.3. Control Strategies of Tidal Energy Conversion Systems -- 5.3.1. Theory of Hydrokinetic Energy Conversion -- 5.3.2. Tidal Turbine Control -- Angle of Attack -- Power and Efficiency -- Calculating the Tip Speed Ratio -- The Power Curve -- Control Strategies -- 5.3.3. Tidal-Dynamic Energy Assessment -- 5.3.4. Turbine Configuration and Control Objectives -- Drivetrain Model -- The Field Oriented Control Method -- Electromagnetic Torque -- Unity Power Factor Control -- Generator-Side Converter Control -- 5.4. Reactive Power Control of Tidal Power Plant. 5.4.1. Design of Passive Components. EBL201811 Engineering SzGeCERN BOOK Khare, Cheshta Nema, Savita Baredar, Prashant https://cds.cern.ch/auth.py?r=EBLIB_P_5554543 ebook n 201847 201811 21 PUBLIC https://catalogue.library.cern/legacy/2648343 BOOK MIGRATED 2648338 SzGeCERN 20210421203928.0 9780128119785 electronic version electronic version 9780128119785 print version 9780128119792 electronic version electronic version oai:cds.cern.ch:2648338 cerncds:BOOK EBL 5548870 eng 621.381046 Zhang, Jiawei Encapsulation technologies for electronic applications 2nd ed. Saint Louis, MO William Andrew 2018 510 p ebook Materials and processes for electronic applications Front Cover -- Encapsulation Technologies for Electronic Applications -- Copyright -- Contents -- About the authors -- Chapter 1: Introduction -- 1.1. Introduction -- 1.2. Historical overview -- 1.3. Electronic packaging -- 1.4. Encapsulated microelectronic packages -- 1.4.1. 2D packages -- 1.4.1.1. Through-hole mounted packages -- 1.4.1.2. Surface-mounted packages -- 1.4.1.3. Substrate packages -- 1.4.1.4. Multichip module packages -- 1.4.2. 3D packages -- 1.4.2.1. Stacked die packages -- 1.4.2.1.1. 3D Chip-level packages -- 1.4.2.1.2. 3D wafer-level packages -- 1.4.2.2. Stacked packages -- 1.4.2.3. Fan-out wafer-level packages (FO-WLPs) -- 1.4.2.4. Flexible and foldable packages -- 1.5. Hermetic packages -- 1.5.1. Metal packages -- 1.5.2. Ceramic packages -- 1.6. Encapsulants -- 1.6.1. Plastic molding compounds -- 1.6.2. Other plastic encapsulation methods -- 1.7. Plastic versus hermetic packages -- 1.7.1. Size and weight -- 1.7.2. Performance -- 1.7.3. Cost -- 1.7.4. Hermeticity -- 1.7.5. Reliability -- 1.7.6. Availability -- 1.8. Summary -- References -- Further Reading -- Chapter 2: Plastic encapsulant materials -- 2.1. Introduction -- 2.2. Chemistry overview -- 2.2.1. Epoxies -- 2.2.2. Silicones -- 2.2.3. Polyurethanes -- 2.2.4. Phenolics -- 2.3. Molding compounds -- 2.3.1. Resins -- 2.3.2. Curing agents or hardeners -- 2.3.3. Accelerators -- 2.3.4. Fillers -- 2.3.5. Coupling agents -- 2.3.6. Stress-relief additives -- 2.3.7. Flame retardants -- 2.3.8. Mold-release agents -- 2.3.9. Ion-trapping agents -- 2.3.10. Coloring agents -- 2.3.11. Market conditions and manufacturers of encapsulant materials -- 2.3.12. Material properties of commercially available molding compounds -- 2.3.12.1. Nitto Denko -- 2.3.12.2. Sumitomo Bakelite -- 2.3.12.3. Plaskon -- 2.3.13. Materials development -- 2.4. Glob-top encapsulants. 2.5. Potting and casting encapsulants -- 2.5.1. Dow corning materials -- 2.5.2. General electric materials -- 2.6. Underfill encapsulants -- 2.7. Printing encapsulants -- 2.8. Environment-friendly or ``green´´ encapsulants -- 2.8.1. Toxic flame retardants -- 2.8.2. Green encapsulant material development -- 2.8.2.1. Green materials with nonhalogenated flame retardants -- 2.8.2.2. Green materials without flame retardants -- 2.9. Summary -- References -- Further Reading -- Chapter 3: Encapsulation process technology -- 3.1. Introduction -- 3.2. Molding technology -- 3.2.1. Transfer molding -- 3.2.1.1. Molding equipment -- 3.2.1.2. Transfer molding process -- 3.2.1.3. Molding simulation -- 3.2.1.4. Film-assisted molding technologies -- 3.2.2. Injection molding -- 3.2.3. Reaction-injection molding -- 3.2.4. Compression molding -- 3.2.4.1. Compression molding for large-area panel-level packaging -- 3.2.5. Comparison of molding processes -- 3.3. Glob-topping technology -- 3.4. Potting and casting technology -- 3.4.1. One-part encapsulants -- 3.4.2. Two-part encapsulants -- 3.5. Underfilling technology -- 3.5.1. Conventional flow underfill -- 3.5.2. No-flow underfill -- 3.6. Printing encapsulation technology -- 3.7. Encapsulation of 2D wafer-level packages -- 3.8. Encapsulation of 3D packages -- 3.9. Dual side molding -- 3.10. Encapsulation of MEMS -- 3.11. Cleaning and surface preparation -- 3.11.1. Plasma cleaning -- 3.11.2. Deflashing -- 3.12. Summary -- References -- Chapter 4: Injection molding -- 4.1. Introduction -- 4.2. Injection molding -- 4.2.1. Theoretical models -- 4.2.2. Multicavity pressure control -- 4.2.3. Reaction-injection molding -- 4.3. Fluid-assisted injection molding -- 4.4. Cavity direct injection molding -- References -- Chapter 5: Compression encapsulation -- 5.1. Introduction -- 5.2. Mold solutions. 5.3. Advantages of compression molding -- 5.4. Compression molding process -- 5.4.1. Clamping compression mold -- 5.4.2. Minimum compound compression mold -- 5.4.3. Compression molding compounds -- 5.4.3.1. Flow-free and thin mold compound properties -- 5.4.3.2. Single-press compression molding system -- 5.4.3.3. Mass production systems -- 5.4.4. Microcompression molding -- 5.5. System-in-package encapsulation using compression molding -- 5.5.1. Double-sided compression molding process -- 5.6. Wafer-level compression molding -- 5.7. Summary -- References -- Further reading -- Chapter 6: Characterization of encapsulant properties -- 6.1. Introduction -- 6.2. Manufacturing properties -- 6.2.1. Spiral flow length -- 6.2.2. Gelation time -- 6.2.3. Bleed and flash -- 6.2.4. Rheological compatibility -- 6.2.5. Polymerization rate -- 6.2.6. Curing time and temperature -- 6.2.7. Hot hardness -- 6.2.8. Postcure time and temperature -- 6.3. Hygrothermomechanical properties -- 6.3.1. Coefficient of thermal expansion and glass transition temperature -- 6.3.2. Thermal conductivity -- 6.3.3. Flexural strength and modulus -- 6.3.4. Tensile strength, elastic and shear modulus, and %elongation -- 6.3.5. Adhesion strength -- 6.3.6. Moisture content and diffusion coefficient -- 6.3.6.1. Fickian diffusion -- 6.3.6.2. Non-Fickian diffusion -- 6.3.7. Coefficient of hygroscopic expansion -- 6.3.8. Gas permeability -- 6.3.9. Outgassing -- 6.4. Electrical properties -- 6.5. Chemical properties -- 6.5.1. Ionic impurity (contamination level) -- 6.5.2. Ion diffusion coefficient -- 6.5.3. Flammability and oxygen index -- 6.6. Summary -- References -- Chapter 7: Encapsulation defects and failures -- 7.1. Introduction -- 7.2. Overview of package defects and failures -- 7.2.1. Package defects -- 7.2.2. Package failures -- 7.2.3. Classification of failure mechanisms. 7.2.4. Contributing factors -- 7.3. Encapsulation defects -- 7.3.1. Wire sweep -- 7.3.2. Paddle shift -- 7.3.3. Warpage -- 7.3.4. Die cracking -- 7.3.5. Poor die attachment -- 7.3.6. Delamination -- 7.3.7. Voids -- 7.3.8. Nonuniform and poor encapsulation material -- 7.3.9. Flash -- 7.3.10. Foreign particles -- 7.3.11. Incomplete cure -- 7.4. Encapsulation failures -- 7.4.1. Delamination -- 7.4.2. Vapor-induced cracking (popcorning) -- 7.4.3. Brittle fracture -- 7.4.4. Ductile fracture -- 7.4.5. Fatigue fracture -- 7.5. Failure accelerators -- 7.5.1. Moisture -- 7.5.2. Temperature -- 7.5.3. Exposure to contaminants and solvents -- 7.5.4. Residual stresses -- 7.5.5. General environmental stress -- 7.5.6. Manufacturing and assembly loads -- 7.5.7. Combined load-stress conditions -- 7.5.8. Degradation mechanisms subjected to isothermal temperature -- 7.6. Microsystem sensor failure -- 7.7. Summary -- References -- Chapter 8: Defect and failure analysis techniques for encapsulated microelectronics -- 8.1. Introduction -- 8.2. General defect and failure analysis procedures -- 8.2.1. Electrical testing -- 8.2.2. Thermal emission analysis for shorted failure isolation -- 8.2.3. Nondestructive evaluation -- 8.2.4. Destructive evaluation -- 8.2.4.1. Analytical testing of the encapsulant material -- 8.2.4.2. Decapsulation (removal of the encapsulant) -- 8.2.4.3. Internal examination -- 8.2.4.4. Selective layer removal -- 8.2.4.5. Locating the failure site and identifying the failure mechanism -- 8.2.4.6. Simulation testing -- 8.3. Optical microscopy -- 8.4. Scanning acoustic microscopy -- 8.4.1. Imaging modes -- 8.4.2. C-mode scanning acoustic microscope -- 8.4.3. Scanning laser acoustic microscope -- 8.4.4. Case studies -- 8.4.4.1. C-mode imaging of delaminations in a 40-pin PDIP -- 8.4.4.2. Rapid screening for defects using THRU-scan imaging. 8.4.4.3. Nondestructive cross-section analysis of plastic-encapsulated devices using Q-BAM and TOF imaging -- 8.4.4.4. Production rate screening using tray-scan imaging -- 8.4.4.5. Molding compound characterization -- Evaluation checklist: -- 8.5. X-ray microscopy -- 8.5.1. X-ray generation and absorption -- 8.5.2. X-ray contact microscope -- 8.5.3. X-ray projection microscope -- 8.5.4. High-resolution scanning X-ray diffraction microscope -- 8.5.5. Case study: Encapsulation in plastic-encapsulated devices -- 8.6. X-ray fluorescence spectroscopy -- 8.7. Electron microscopy -- 8.7.1. Electron-specimen interaction -- 8.7.2. Scanning electron microscopy -- 8.7.3. Environmental scanning electron microscopy (ESEM) -- 8.7.4. Transmission electron microscopy -- 8.8. Atomic force microscopy -- 8.9. Infrared microscopy -- 8.10. Selection of failure analysis techniques -- 8.11. Summary -- References -- Chapter 9: Qualification and quality assurance -- 9.1. Introduction -- 9.2. A brief history of qualification and reliability assessment -- 9.3. Qualification process overview -- 9.4. Virtual qualification -- 9.4.1. Life-cycle loads -- 9.4.2. Product characteristics -- 9.4.3. Application requirements -- 9.4.4. Reliability prediction using the PoF approach -- 9.4.5. Failure modes, mechanisms, and effects analysis (FMMEA) -- 9.5. Product qualification -- 9.5.1. Strength limits and highly accelerated life test -- 9.5.2. Qualification requirements -- 9.5.3. Qualification test planning -- 9.5.4. Modeling and validation -- 9.5.5. Accelerated testing -- 9.5.6. Reliability assessment -- 9.6. Qualification accelerated tests -- 9.6.1. Steady-state temperature test -- 9.6.2. Thermal cycling test -- 9.6.3. Tests that include humidity -- 9.6.4. Solvent resistance test -- 9.6.5. Salt atmosphere test -- 9.6.6. Flammability and oxygen index test -- 9.6.7. Solderability test. 9.6.8. Radiation hardness test. EBL201811 Engineering SzGeCERN BOOK Ardebili, Haleh Pecht, Michael Licari, James J https://cds.cern.ch/auth.py?r=EBLIB_P_5548870 ebook n 201847 201811 21 PUBLIC https://catalogue.library.cern/legacy/2648338 BOOK MIGRATED 2648282 SzGeCERN 20190517215846.0 9780128006672 (electronic bk.) electronic version 9780128005392 electronic version 9780128005392 print version oai:cds.cern.ch:2648282 cerncds:BOOK EBL 5528931 eng QD502.5 .S645 2018 541.39 Speight, James G Reaction mechanisms in environmental engineering analysis and prediction Saint Louis, MO Elsevier Science & Technology 2018 458 p ebook Front Cover -- Reaction Mechanisms in Environmental Engineering -- Reaction Mechanisms in Environmental Engineering: Analysis and Prediction -- Copyright -- Contents -- Biography -- Preface -- I - Introduction -- 1 - Environmental Chemistry -- 1. INTRODUCTION -- 2. CHEMICAL TYPES -- 2.1 Inorganic Chemicals -- 2.2 Organic Chemicals -- 3. CHEMICALS AND THE ENVIRONMENT -- 4. CHEMISTRY IN THE ENVIRONMENT -- 5. CHEMICAL TRANSFORMATIONS -- 5.1 Chemistry in the Atmosphere -- 5.2 Chemistry in the Aquasphere -- 5.3 Chemistry in the Lithosphere -- 6. PHYSICAL CHEMISTRY IN THE ENVIRONMENT -- REFERENCES -- FURTHER READING -- 2 - Chemicals in the Environment -- 1. INTRODUCTION -- 2. SOURCES -- 2.1 Air Pollution -- 2.2 Water Pollution -- 2.3 Land Pollution -- 3. DISTRIBUTION IN THE ENVIRONMENT -- 4. CHEMISTRY IN THE ENVIRONMENT -- 5. INDUSTRIAL CHEMICALS AND HOUSEHOLD CHEMICALS -- 5.1 Industrial Chemicals -- 5.2 Fly Ash, Bottom Ash, and Boiler Slag -- 5.2.1 Fly Ash -- 5.2.2 Bottom Ash -- 5.2.3 Boiler Slag -- 5.3 Household Chemicals -- REFERENCES -- 3 - Chemical and Physical Properties -- 1. INTRODUCTION -- 2. ACIDS AND BASES -- 2.1 Inorganic Acids and Bases -- 2.2 Organic Acids and Bases -- 3. ACID-BASE CHEMISTRY -- 3.1 Reactions of Acids and Alkalis -- 3.2 Brønsted-Lowry Acids and Bases -- 3.3 Lewis Acids and Bases -- 4. VAPOR PRESSURE AND VOLATILITY -- 4.1 Vapor Pressure -- 4.2 Volatility -- 4.2.1 Low-Boiling Chemicals -- 4.2.2 High-Boiling and Nonvolatile Chemicals -- 5. WATER SOLUBILITY -- 5.1 Effect of Temperature -- 5.2 Effect of Pressure -- 5.3 Rate of Dissolution -- 5.4 Quantification of Solubility -- 5.5 Solubility of Inorganic Chemicals -- 5.6 Solubility of Organic Chemicals -- REFERENCES -- FURTHER READING -- 4 - Mechanisms of Introduction Into the Environment -- 1. INTRODUCTION -- 2. MINERALS -- 3. TYPES OF CHEMICALS. 4. RELEASE INTO THE ENVIRONMENT -- 4.1 Dispersion -- 4.2 Dissolution -- 4.3 Emulsification -- 4.4 Evaporation -- 4.5 Leaching -- 4.6 Sedimentation and Adsorption -- 4.7 Spreading -- 4.8 Sublimation -- 5. DISTRIBUTION IN THE ENVIRONMENT -- REFERENCES -- II - Transformation Processes -- 5 - Sorption, Dilution, and Dissolution -- 1. INTRODUCTION -- 2. SORPTION -- 2.1 Adsorption -- 2.2 Absorption -- 2.3 Effects of the Various Parameters on Adsorption-Adsorption -- 2.3.1 Sorbent -- 2.3.2 Chemical Composition -- 2.3.3 Acidity and Alkalinity -- 2.3.4 Temperature -- 2.3.5 Sorption Rate -- 2.3.6 Partition Coefficient -- 2.4 Ion Exchange -- 2.5 Desorption -- 2.6 Mechanism -- 2.6.1 Adsorption -- 2.6.2 Absorption -- 3. DILUTION -- 3.1 Dilution Capacity -- 3.2 Stratification -- 3.3 Mixing Zone -- 3.4 Flushing Time -- 3.5 Sediment Type -- 3.6 Biodilution -- 4. SOLUBILITY -- 5. VAPOR PRESSURE -- REFERENCES -- 6 - Hydrolysis -- 1. INTRODUCTION -- 2. NUCLEOPHILIC SUBSTITUTION REACTIONS -- 2.1 SN1 and SN2 Reactions -- 2.2 Reactive Nucleophiles -- 2.3 Bond Strength and Anion Stability -- 2.4 Kinetic Order and Steric Effects -- 2.5 SE1 and SE2 Reactions -- 2.6 Effect of Substrate -- 3. HYDROLYSIS REACTIONS -- 3.1 Acid Hydrolysis -- 3.2 Alkaline Hydrolysis -- 3.3 Reaction Profiles -- REFERENCES -- FURTHER READING -- 7 - Redox Transformations -- 1. INTRODUCTION -- 2. OXIDATION REACTIONS -- 2.1 Permanganate -- 2.2 Fenton Reagent -- 2.3 Persulfate -- 2.4 Ozone -- 3. REDUCTION REACTIONS -- 3.1 Zero Valent Metals -- 3.2 Iron Minerals -- 3.3 Polysulfides -- 3.4 Dithionite -- 3.5 Bimetallic Chemicals -- 4. PHOTOCHEMICAL AND PHOTOCATALYTIC TRANSFORMATIONS -- 4.1 Photochemistry -- 4.2 Photochemistry in the Environment -- 4.3 Photocatalysis in the Environment -- 4.3.1 Homogeneous Photocatalysis -- 4.3.2 Heterogeneous Photocatalysis -- REFERENCES -- FURTHER READING. 8 - Biological Transformations -- 1. INTRODUCTION -- 2. BIOTRANSFORMATION -- 2.1 Natural Methods -- 2.2 Traditional Methods -- 2.3 Enhanced Methods -- 2.4 Biostimulation and Bioaugmentation -- 2.5 In Situ and Ex Situ Methods -- 3. MECHANISMS AND METHODS -- 3.1 Aerobic Biodegradation -- 3.2 Anaerobic Biodegradation -- 3.3 Microbe Selection -- 3.4 Extracellular Electron Transfer -- 3.5 Bioavailability and Transport of Pollutants -- 3.6 Crude Oil Biodegradation -- 3.7 Emerging Technologies -- 4. ADVANTAGES AND DISADVANTAGES -- 5. THE FUTURE -- REFERENCES -- FURTHER READING -- 9 - Molecular Interactions, Partitioning, and Thermodynamics -- 1. INTRODUCTION -- 2. MOLECULAR INTERACTIONS -- 3. PARTITIONING AND PARTITION COEFFICIENTS -- 3.1 Single Chemicals -- 3.1.1 Acid-Base Partitioning -- 3.1.2 Air-Water Partitioning -- 3.1.3 Molecular Partitioning -- 3.1.4 Octanol-Water Partitioning -- 3.1.5 Particle-Water Partitioning -- 3.2 Mixtures of Chemicals -- 3.3 Partition Coefficients -- 4. THERMODYNAMICS -- 4.1 First Law of Thermodynamics -- 4.2 Second Law of Thermodynamics -- 4.3 Free Energy -- REFERENCES -- 10 - Mechanisms of Transformation -- 1. INTRODUCTION -- 2. TRANSFORMATION IN THE ENVIRONMENT -- 2.1 Chemical Transformation -- 2.1.1 Hydrolysis Reactions -- 2.1.2 Photolysis Reactions -- 2.1.3 Radioactive Decay -- 2.1.4 Rearrangement Reactions -- 2.1.5 Redox Reactions -- 2.1.6 Complexation -- 2.2 Physical Transformation -- 2.2.1 Sorption -- 2.2.2 Dilution -- 2.3 Catalytic Transformation -- 3. BIOLOGICAL TRANSFORMATION -- 3.1 Biodegradation -- 3.2 Bioremediation -- 4. TRANSPORT OF CHEMICALS -- 4.1 Advection -- 4.2 Diffusion -- 4.3 Concentration -- REFERENCES -- FURTHER READING -- III - Conversion Tables and Glossary -- Conversion Tables -- 1 AREA -- 2 CONCENTRATION CONVERSIONS -- 3 NUTRIENT CONVERSION FACTOR -- 4 TEMPERATURE CONVERSIONS. 5 SLUDGE CONVERSIONS -- 6 VARIOUS CONSTANTS -- 7 VOLUME CONVERSION -- 8 WEIGHT CONVERSION -- 9 OTHER APPROXIMATIONS -- Glossary -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- K -- L -- M -- N -- O -- P -- R -- S -- T -- U -- V -- W -- X -- Z -- Back Cover. EBL201811 Chemical Physics and Chemistry SzGeCERN EBL Environmental engineering BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5528931 ebook n 201847 201811 21 PUBLIC BOOK DELETED 2648281 SzGeCERN 20210421203932.0 9780429797583 electronic version electronic version 9780815395300 electronic version electronic version 9780815395300 print version oai:cds.cern.ch:2648281 cerncds:BOOK EBL 5528867 eng TK7872.D48 .S648 2019 006.2/5 Thanh Binh, Huynh Thi Soft computing in wireless sensor networks Milton Chapman and Hall/CRC 2018 246 p ebook Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Editors -- Contributors -- Chapter 1: Introduction to Wireless Sensor Networks -- 1.1 Introduction -- 1.2 Wireless Sensor Networks -- 1.3 Types of Sensor Nodes -- 1.3.1 Passive Sensors -- 1.3.2 Active Sensors -- 1.4 Sensor Node Description -- 1.4.1 Sensing Unit -- 1.4.2 Processing Unit -- 1.4.3 Transceiver Unit -- 1.4.4 Power Unit -- 1.5 Applications of Sensor Nodes -- 1.5.1 Military Applications -- 1.5.2 Environmental Observation -- 1.5.3 Forest Fire Detection -- 1.5.4 Pollution Monitoring -- 1.5.5 Industrial Monitoring -- 1.5.6 Agriculture Monitoring -- 1.5.7 Health Monitoring -- 1.5.8 Smart Home -- 1.5.9 Power Grids -- 1.5.10 Automobiles -- 1.6 Protocol Stack of WSNs -- 1.6.1 Physical Layer -- 1.6.2 Data Link Layer -- 1.6.3 Network Layer -- 1.6.4 Transport Layer -- 1.6.5 Application Layer -- 1.6.6 Power Management Plane -- 1.6.7 Mobility Management Plane -- 1.6.8 Task Management Plane -- 1.7 Security Requirements in WSN -- 1.8 Attacks on Wireless Sensor Networks -- 1.9 WSN Standards -- 1.10 Routing Protocols in WSNs -- 1.10.1 Sensor Protocols for Information Negotiation -- 1.10.2 Low Energy Adaptive Clustering Hierarchy -- 1.10.3 Threshold Sensitive Energy Efficient Sensor Network Protocol -- 1.11 WSN Simulations -- 1.12 WSN Operating Systems -- 1.13 Challenges of WSNs -- References -- Chapter 2: Optimization Problems in Wireless Sensors Networks -- 2.1 Introduction -- 2.2 What is Optimization? -- 2.2.1 WSN Optimization -- 2.2.2 Significance of Optimization in WSNs -- 2.2.3 Protocol Architectural and Its Significance in WSNs -- 2.2.4 Optimization Solutions for Conventional Protocol Architecture -- 2.3 Multiobjective Formulation for Sensor Placement -- 2.3.1 Directional Sensors Model and Variables. 2.3.2 Coverage Probability Estimation (CPE) of Directional Sensor -- 2.3.3 Linear Formulation for Coverage -- 2.3.4 Results and Discussion -- 2.4 Conclusion -- References -- Chapter 3: Applications of Machine Learning in Wireless Sensor Networks -- 3.1 Introduction -- 3.2 Machine Learning Algorithms and Applications in WSN -- 3.2.1 Artificial Intelligence in WSN -- 3.2.2 Routing Using the Machine Learning Approach in WSNs -- 3.3 Conclusion -- References -- Chapter 4: Relevance of Soft Computing Techniques in the Significant Management of Wireless Sensor Networks -- 4.1 Introduction -- 4.2 An Overview of Wireless Sensor Networks (WSNs) -- 4.3 An Overview of Soft Computing Applications and Their Relevance in WSNs -- 4.3.1 Intelligent Application of Soft Computing in WSNs -- 4.3.2 Neural Network Modeling in WSNs -- 4.3.3 Fuzzy Logic-Based Intelligent Solution Strategy in WSNs -- 4.3.4 Evolutionary Computation and Application in WSNs -- 4.4 The Projected New SCSC Approach Based on Swarm Intelligence -- 4.4.1 Safe Healthcare Mechanisms -- 4.4.2 Smart Healthcare of Patients in Ambulance -- 4.5 Conclusion -- References -- Chapter 5: Soft Computing Technique for Intrusion Detection System in Mobile Ad Hoc Networks -- 5.1 Background and Driving Forces -- 5.2 Applications of Soft Computing -- 5.3 Properties of Soft Computing -- 5.4 Intrusion Detection in MANETs -- 5.5 AODV Routing Protocol -- 5.6 Packet Dropping Attack -- 5.7 Flooding Attack -- 5.8 Route Disruption Attack -- 5.9 Proposed Work -- 5.9.1 Grammatical Evolution and Algorithm -- 5.9.2 Pseudocode of the Grammatical Evolution -- 5.9.2.1 Initialize (Population) -- 5.10 GE Parameters -- 5.11 Feature Selection -- 5.12 Simulation Study -- 5.12.1 Ad Hoc Flooding Attack -- 5.12.2 Route Disruption Attack -- 5.13 Experimental Results -- 5.14 Ad Hoc Flooding Attack False Positive Rate. 5.15 Route Disruption Attack False Positive Rate -- 5.16 Classification Accuracy of Ad Hoc Flooding Attack and Route Disruption Attack -- 5.17 Grammatical Evolution Performance of Ad Hoc Flooding and Route Disruption Attack -- 5.18 Conclusions -- Acknowledgments -- Funding -- References -- Chapter 6: Introduction to Coverage Optimization in Wireless Sensor Networks -- 6.1 Wireless Sensor Network Architecture -- 6.2 Coverage Optimization in WSNs -- 6.2.1 Area Coverage -- 6.2.2 Target Coverage -- 6.2.3 Barrier Coverage -- 6.3 Literature Review -- 6.4 Problem Formulation -- 6.4.1 Model 1 - Conventional Coverage Optimization -- 6.4.2 Model 2 - Coverage with Connectivity Fault-Tolerance Model -- 6.5 Recent Works on Coverage Optimization in WSNs -- 6.6 Conclusion and Discussion -- References -- Chapter 7: Energy Efficient Cluster Formation Using the Firefly Algorithm (EECFF) -- 7.1 Introduction -- 7.2 Overview of Firefly Algorithm -- 7.3 Fitness Function Formulation -- 7.3.1 Basic Assumptions and the Network Model -- 7.3.2 Node Density -- 7.3.3 Cluster Fairness -- 7.3.4 Expected Energy Consumption -- 7.3.5 Energy Components -- 7.4 EECFF: Proposed Clustering Protocol -- 7.4.1 Cluster Head Election Phase -- 7.4.2 Node Association Phase -- 7.4.3 Data Transmission Phase -- 7.5 Results -- 7.5.1 Number of Alive Nodes -- 7.5.2 Average Number of Packets Received by BS -- 7.5.3 Energy Consumption of Network -- 7.6 Summary -- References -- Chapter 8: Positioning Improvement of Sensors in Wireless Sensor Networks -- 8.1 Overview of Wireless Sensor Networks -- 8.2 Background -- 8.3 Wireless Sensor Network Model -- 8.3.1 Position Estimation Elements -- 8.3.2 Received Signal Strength Indication -- 8.3.3 Time of Arrival -- 8.3.4 Time Difference of Arrival -- 8.3.5 Angle of Arrival -- 8.3.6 Triangulation -- 8.3.7 Trilateration -- 8.3.8 Multilateration. 8.3.9 Applications of Sensor Networks -- 8.4 Sensor Distribution Strategies -- 8.4.1 Multidimensional Scaling Algorithm Techniques -- 8.4.2 Ranging Estimation -- 8.4.3 Pairwise Distance Collection -- 8.4.4 Performance Study -- 8.4.5 Distributed Sensor Position Estimation -- 8.4.5.1 Calculating Relative Positions -- 8.4.5.2 Aligning Relative Positions -- 8.4.5.3 Distribution of Nodes on Square Method -- 8.5 A Low-Cost Node Distribution Using the Hexagonal Method -- 8.5.1 Sensor Node Placement -- 8.5.2 Challenges of the Hexagonal Method -- 8.6 2D Iterative Routing Algorithm -- 8.6.1 IR Algorithm -- 8.6.1.1 Procedure for the 2D IR Algorithm -- 8.7 RSPBFA Protocol -- 8.7.1 RSPBFA Algorithm Description -- 8.7.2 Estimation of Coverage Ratio -- 8.7.3 Based on Range -- 8.7.4 Based on Simulation Time -- 8.8 Conclusions and Future Work -- References -- Chapter 9: Internet of Things in Healthcare Wearable and Implantable Body Sensor Network (WIBSNs) -- 9.1 Introduction -- 9.2 Influence of IoT in the Healthcare Industry -- 9.3 Architecture of IoT in Healthcare -- 9.4 Wearable Systems -- 9.5 Implantable Systems -- 9.6 Wireless Body Sensor Networks (WBSNs) -- 9.6.1 Significance of the Medium Access Control Layer in WBSNs -- 9.6.2 Requirements of MAC Protocol in WIBSNs -- 9.6.3 Energy Efficient Routing Protocols for WBSNs -- 9.7 WIBSN in Healthcare -- 9.7.1 Requirements Needed for Medical Sensors in WIBSNs -- 9.7.2 Parameters for Designing IoT-Based WIBSNs -- 9.8 Challenges, Open Research Problems, and the Future of WIBSNs -- 9.9 Conclusion -- References -- Index. EBL201811 Computing and Computers SzGeCERN EBL Internet of things EBL Soft computing BOOK Dey, Nilanjan https://cds.cern.ch/auth.py?r=EBLIB_P_5528867 ebook n 201847 201811 21 PUBLIC https://catalogue.library.cern/legacy/2648281 BOOK MIGRATED 2648237 SzGeCERN 20190226231418.0 9781788014953 (electronic bk.) electronic version 9781788011112 electronic version 9781788011112 print version oai:cds.cern.ch:2648237 cerncds:BOOK EBL 5518837 eng QD549 .M654 2018 541.345 Weiss, Richard G Molecular gels structure and dynamics Cambridge Royal Society of Chemistry 2018 407 p ebook Monographs in supramolecular chemistry Intro -- Title -- Copyright Page -- Preface -- Editor's Biography -- Dedication -- Contents -- Chapter 1 Introduction: An Overview of the "What" and "Why" of Molecular Gels -- 1.1 Why Molecular Gels? -- 1.2 Before Gels-Other Self-Assembled Soft Materials -- 1.3 Gels are a Subclass of 'Soft Matter' -- 1.3.1 A Brief Description of Gels -- 1.3.2 A Brief Description of Molecular Gels -- 1.3.3 Molecular Gelators-Starting from 0D Objects. -- 1.3.4 Sol Phases and Their Transformation to Gel Phases -- 1.3.5 Permanent and Transient 3D Networks -- 1.4 A Short Polemic -- Acknowledgements -- References -- Chapter 2 Viscoelastic Properties: The Rheology of Soft Solids -- 2.1 Introduction -- 2.2 Basic Principles: Flow and Deformations -- 2.3 Timescales in Rheological Measurements -- 2.4 Time-dependent Rheology -- 2.4.1 Linear Response Functions -- 2.5 Oscillatory Rheology -- 2.5.1 The Viscoelastic Storage and Loss Moduli (G′ and G″) -- 2.5.2 Power-law Response -- 2.6 Nonlinear Rheology -- 2.6.1 Steady Shear -- 2.6.2 Large-amplitude Oscillatory Rheology (LAOS) -- 2.6.3 Thixotropy -- 2.7 The Rheology of Molecular Gels -- 2.7.1 Linear Viscoelasticity -- 2.7.2 Gelation Kinetics -- 2.7.3 Elastic Recovery -- 2.8 Opto-rheological Techniques -- 2.8.1 Scattering and Rheology -- 2.8.2 Opto-rheology -- 2.9 Conclusions and Outlook -- References -- Chapter 3 Thermodynamic Aspects of Molecular Gels -- 3.1 Introduction -- 3.2 Thermodynamic and Metastable Equilibrium Conditions Prevailing During Molecular Self-assembly -- 3.2.1 Determination of the Phase Transitions of Gelator Molecules and its Representation in Phase Diagrams -- 3.3 Phase Diagrams of Neat Gelators -- 3.4 Experimental Determination of the Gelator Solubility Concentration -- 3.5 Thermodynamic Models that Describe Gelator Solubility -- 3.6 Conclusions -- References. Chapter 4 Effects of Kinetics on Structures of Aggregates Leading to Fibrillar Networks -- 4.1 Introduction -- 4.2 Hierarchical Structure Crystal Networks in Molecular Gels -- 4.3 Steps of Fibrillar Network Formation -- 4.3.1 Process of Fiber Network Formation -- 4.3.2 Classification of Junctions -- 4.4 Crystallization Mechanism of Fiber Formation -- 4.4.1 Thermodynamic Driving Force -- 4.4.2 Homogeneous and Heterogeneous Nucleation -- 4.4.3 Fiber Branching Induced by Crystallographic Mismatch Nucleation -- 4.5 Control of Permanent Junction Formation -- 4.5.1 Control of the Formation of Permanent Junctions by Thermodynamic Driving Force -- 4.5.2 Control of the Formation of Permanent Junctions Using Additives -- 4.6 Molecular-level Understanding of Junctions -- 4.7 Stages of Network Construction -- 4.8 Kinetic Models for Gelation -- 4.8.1 Avrami Model -- 4.8.2 Dickson Model -- 4.9 Effect of Chirality on Molecular Gel Formation -- 4.10 Effects of Annealing on Gel Structure and Stability -- 4.11 Computational Methods for Understanding Molecular Assembly -- 4.11.1 Kitaigorodskii-Aufbau Principle -- 4.11.2 Coarse Grain Models and Analyses -- 4.11.3 Density Functional Theory -- 4.12 Conclusions and Outlook -- References -- Chapter 5 Exploring Gelator Efficiency -- 5.1 Introduction: What Is 'Gelation Efficiency'? -- 5.2 Thermal Control of Gel Performance -- 5.3 Minimum Gel Concentration: 'Supergelators' and 'Atom Economy'. How Much Gelator Do We Need? -- 5.4 What Liquid Has to Be Gelated? -- 5.5 Mechanical Behaviour -- 5.6 Efficiency of the Gelation Process -- 5.7 Can We Design Efficient Gelators? -- 5.8 Summary and Outlook -- Acknowledgements -- References -- Chapter 6 Interfacial Considerations-Fibers and Liquids -- 6.1 Introduction -- 6.2 Solvent and Solubility Parameters -- 6.2.1 Solvatochromic Scales. 6.2.2 Thermodynamically Derived Solubility Properties -- 6.3 Interfacial Effects on Supersaturation, Nucleation, and Crystal Growth -- 6.4 Solvent-holding Capacity -- 6.5 Concluding Remarks -- References -- Chapter 7 Stimuli-responsive Supramolecular Gels -- 7.1 Introduction -- 7.2 Photoresponsive Gelators -- 7.3 Ultrasound-responsive Gelators -- 7.4 Redox-responsive Gelators -- 7.5 Proton-responsive Gelators -- 7.6 Anion-responsive Gelators -- 7.7 Magnetic Field-responsive Gelators -- 7.8 Conclusions -- Acknowledgements -- References -- Chapter 8 Structural Techniques at Different Length Scales -- 8.1 Microscopy Techniques -- 8.1.1 Optical Microscopy -- 8.1.2 Transmission Electron Microscopy -- 8.1.3 Scanning Electron Microscopy -- 8.2 Atomic Force Microscopy -- 8.3 Small-angle Scattering -- 8.3.1 Probing of Very Large Distances -- 8.3.2 Usual Accessible q-Range -- 8.3.3 Intermolecular Terms -- 8.3.4 Cross-section Polydispersity -- 8.3.5 Effect of Contrast Variation in SANS -- 8.3.6 Data Processing -- 8.4 Diffraction and Crystal Structure -- 8.5 Dynamic Light Scattering -- 8.6 Spectroscopic Tools -- 8.6.1 FTIR Spectroscopy -- 8.6.2 UV-Vis Spectroscopy -- 8.6.3 Fluorescence -- 8.6.4 Circular Dichroism Spectroscopy -- 8.6.5 Vibronic Circular Dichroism -- 8.7 Electron Spin Resonance -- 8.7.1 Interpretation of ESR Signals from Paramagnetic Gelators -- 8.7.2 Monitoring Chemical Reactions of Gelators -- 8.7.3 Probing the Mobility of Self-assemblies of Gelator Molecules -- 8.8 Nuclear Magnetic Resonance -- 8.8.1 Liquid NMR -- 8.8.2 Solid State NMR -- References -- Chapter 9 Applications of Supramolecular Gels -- 9.1 Introduction -- 9.2 Molecular Gels: History and Industry-Rheological Applications -- 9.2.1 Lubricants -- 9.2.2 Napalm -- 9.2.3 Polymer Additives -- 9.2.4 Dentistry -- 9.2.5 Oil Industry Additives -- 9.2.6 Personal Care Products. 9.2.7 Adhesives -- 9.2.8 Food Industry -- 9.2.9 Inks and Dyeing -- 9.2.10 Art Conservation -- 9.2.11 Summary -- 9.3 Molecular Gels: Cutting Edge and Future-High-tech Chemistry-driven Applications -- 9.3.1 Environmental Remediation -- 9.3.2 Drug Formulation and Delivery -- 9.3.3 Controlled Crystallisation -- 9.3.4 Catalysis -- 9.3.5 Tissue Engineering -- 9.3.6 Sensing -- 9.3.7 Advanced Energy Technologies -- 9.3.8 Photonic Applications -- 9.4 Conclusions and Outlook -- References -- Subject Index. An authoritative resource covering the latest developments in different types of gels. EBL201811 Chemical Physics and Chemistry SzGeCERN EBL Colloids BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5518837 ebook n 201847 201811 21 PUBLIC BOOK DELETED 2648210 SzGeCERN 20210421203941.0 9781119483601 electronic version electronic version 9781119483601 print version 9781119483656 electronic version electronic version oai:cds.cern.ch:2648210 cerncds:BOOK EBL 5514492 eng TK1078 .M399 2019 621.483 Mazzoni, Omar S Electrical systems for nuclear power plants Newark, NJ IEEE 2018 259 p ebook Intro -- Electrical Systems for Nuclear Power Plants -- Contents -- Preface -- 1 Elements of a Power System -- 1.1 The Alternating Current One-Line Diagram -- 1.2 Basis for One-Line Representation -- Percent and Per Unit Representation -- 1.3 Main Electrical Components of Power Plants -- Rotating Machines -- Transformers -- Cables -- Switchgear, Distribution Panelboards, and Motor Control Centers -- Buses -- DC Batteries -- Inverters -- Plant Loads and Their Characteristics -- 1.4 Transmission Lines, Switchyards, and Substations -- Transmission Line Protective Relaying -- Transmission Line Testing and Inspection -- Questions and Problems -- References -- 2 Nuclear Power Plants: General Information -- 2.1 Introduction -- 2.2 Environmental Impact -- 2.3 Nuclear Generation Fuel Cycle -- Mining and Milling -- Conversion -- Enrichment -- Fuel Fabrication -- Used Fuel Storage -- Reprocessing -- Vitrification -- Final Disposal -- 2.4 Evolution of Nuclear Power Generation -- 2.5 Nuclear Power in the United States -- 2.6 Plans for New Reactors Worldwide -- 2.7 Increased Capacity -- 2.8 Nuclear Plant Construction -- 2.9 Nuclear Plant Licensing -- 2.10 Current Commercial Nuclear Plants -- Pressurized Water Reactors -- Boiling Water Reactors -- 2.11 Evolutionary Commercial Nuclear Plants -- Westinghouse AP1000 -- Safety Features -- Natural Circulation -- Water Evaporation -- Concrete Shield Building -- 2.12 Advanced Reactors -- Underwater Nuclear Power Generating Plants -- Small Modular Reactors -- 2.13 Nuclear Accidents: Three Mile Island, Chernobil, and Fukushima Events -- Three Mile Island -- Chernobyl Accident -- Fukushima Accident - 2011 -- Questions and Problems -- References -- 3 Special Regulations and Requirements -- 3.1 Regulations -- 3.2 IEEE Standards -- 3.3 NRC Regulatory Guides -- Questions and Problems -- References. 4 Unique Requirements: Class 1E Power System -- 4.1 Class 1E Electrical Systems: General Description -- 4.2 Specific Requirements for Class 1E ac Power Systems -- 4.3 Specific Requirements for Class 1E DC Power Systems -- 4.4 Specific Requirements for Class 1E Instrumentation and Control Systems -- 4.5 Specific Requirements for Class 1E Containment Electrical Penetrations -- 4.6 Specific Requirements for Emergency On-Site ac Power Sources -- Questions and Problems -- References -- 5 Nuclear Plants Containment Electrical Penetration Assemblies -- 5.1 Containment Electrical Penetration Assemblies: General (Information on this chapter is based on the requirements of IEEE 317) -- 5.2 Service Classification -- Medium Voltage Power Penetrations -- Low Voltage Power Penetrations -- Control Voltage Penetrations -- Instrumentation Penetrations -- Optical Fibers Penetrations -- 5.3 Electrical Design Requirements (extracted from IEEE 317) -- General -- Electrical Integrity -- Rated Voltage -- Rated Continuous Current -- Rated Short Time Overload Current/Duration -- Rated Short Circuit Current -- Rated Short Circuit Thermal Capacity -- Rated Continuous Current During the Most Severe DBE Environmental Conditions -- Rated Short Time Overload Current and Duration during the Most Severe DBE Environmental Conditions -- Rated Short Circuit Current during the Most Severe DBE Environmental Conditions -- Rated Short Circuit Thermal Capacity (I2 t) during the Most Severe DBE Environmental Conditions -- 5.4 Mechanical Design Requirements (Extracted from IEEE 317) -- Pressure Boundary -- Design Pressure and Temperature -- Minimum Design Temperature -- Design Gas Leak Rate -- Gas Leak Rate Testing and Monitoring Provisions -- Mechanical Integrity -- Containment Integrity -- 5.5 Fire Resistance Requirements (Extracted from IEEE 317) -- 5.6 Qualified Life. 5.7 Qualification Tests -- 5.8 Design Tests (Extracted from IEEE 317) -- Gas Leak Rate Test -- Pneumatic Pressure Test -- Dielectric Strength Tests -- Impulse Voltage Tests -- Insulation Resistance Test -- Partial Discharge (Corona) Test -- Rated Continuous Current Test -- Rated Short Time Overload Current Test -- Rated Short Circuit Thermal Capacity (I2t) Test -- Seismic Test -- Installation Welding Test -- Electro-Magnetic Compatibility Test -- Qualified-Life Tests -- Determining Qualified Life -- 5.9 Production Tests -- 5.10 Monitoring and Testability -- Questions and Problems -- References -- 6 On-Site Emergency Alternating Current Source -- 6.1 General Requirements of the Emergency Alternating Current Source -- 6.2 General Requirements of Diesel Generators Used as Emergency Alternating Current Source (Information in this chapter is based on the requirements of IEEE 387) -- EDG General Requirements: Load-Carrying Capability -- EDG General Requirements: Speed Control -- EDG General Requirements: Protection Considerations -- 6.3 Specific Design Requirements for Emergency Diesel Generators -- EDG-Specific Design Requirements: Starting and Loading -- EDG-Specific Design Requirements: Surveillance Systems -- 6.4 Factory Qualification -- General -- Factory Qualification: Testing and Analyses -- Factory Qualification: Engine Tests -- Factory Qualification: Generator Tests -- Factory Qualification: Initial Type Tests of the EDG Set -- Factory Qualification: Start and Load Acceptance Tests -- Factory Qualification: Aging Test -- Factory Qualification: Seismic Requirements -- 6.5 Site Acceptance Testing -- 6.6 Site Preoperational Testing -- 6.7 Site Operational Testing -- Site Periodic Testing Applicable Terms -- Site Periodic Testing -- Periodic Tests -- Test Parameters to be Recorded -- Records. 6.8 Site Periodic Testing and Surveillance: Preventive Maintenance Program -- Records and Analysis -- Modifications -- Recommended Program for EDG Monitoring and Trending Parameters -- Diesel Generator Unit Reliability Program Elements -- Questions and Problems -- References -- 7 On-Site Emergency Direct Current Source -- 7.1 Energy Storage Systems for Nuclear Generating Stations -- 7.2 General Requirements of Direct Current Systems -- 7.3 Design Requirements -- Operating Mode of Direct Current Storage Systems -- Capability, Availability, Independence, and Testing of Battery Systems -- Installation of Battery Systems -- 7.4 Battery Loads -- Classification of Loads in Terms of Service Duration Requirements -- 7.5 Classification of Loads in Terms of Power versus Voltage Characteristics -- Converting Loads to Constant Current Loads -- Battery Duty Cycle Diagram -- Cell Selection -- Determining Battery Size -- 7.6 Battery Chargers -- Function, Capability, Availability, Independence, and Testing of Battery Chargers -- Questions and Problems -- References -- 8 Protective Relaying -- 8.1 General -- 8.2 General Criteria for the Protection System -- 8.3 Specific Criteria for Protection of Alternating Current Systems -- Switchgear and Bus Protection -- Bus Voltage Monitoring Schemes -- Protection of Motors and Feeder Circuits -- Emergency Diesel Generator Protection -- Load Shedding and Sequential Loading -- Protection against Unbalanced Voltages -- Negative-Sequence Protection -- Negative-sequence Current Relay (Device 46) -- Device 47: Phase-Sequence or Phase-Balance Voltage Relay -- 8.4 Degraded Voltage Protection -- Discussion -- Degraded Voltage Relay Voltage Settings -- Loss of Voltage Relay Settings -- High Voltage Conditions -- Off-Site System Voltage Considerations -- Tolerances -- 8.5 Surge Protection. 8.6 Protection for Instrumentation and Control Power System -- 8.7 Protection Aspects for Auxiliary System Automatic Bus Transfer -- Discussion -- Bus Transfer Analysis -- Bus Transfer Protection Issues -- 8.8 Protection for Primary Containment Electrical Penetration Assemblies -- 8.9 Protection of Valve Actuator Motors (Direct Gear Driven) -- Current Sensing Devices -- Special Considerations for Valve Actuator Motor -- Typical Motor Operated Valve Circuit Breaker Protection Options -- Information Needed for the Selection and Coordination of Overload Relay Protection -- Correction for Ambient Temperature -- Correction for Voltage Variation -- Typical Procedures for Selection of TORs -- 8.10 Protection for DC Systems -- 8.11 Testing and Surveillance of Protective Systems -- Preoperational Tests -- Surveillance -- Questions and Problems -- References -- Bus Transfer Schemes -- Protection of Motor-Operated Valves -- 9 Interface of the Nuclear Plant with the Grid -- 9.1 Preferred Power Supply Safety Function -- Requirements of the PPS -- 9.2 Interface between the Nuclear Plant and the Grid -- 9.3 Transmission Line and Switchyard Protective Relaying -- 9.4 Connections of the PPS to the Class 1E Systems -- 9.5 Switchyard Grounding -- 9.6 Switchyard and Transmission Line Surveillance and Testing -- 9.7 Effect of PPS Voltage Degradation on the Class 1E Bus -- 9.8 Multiunit Considerations -- Sharing of PPSs -- 9.9 Considerations for PPS Reliability in a Deregulated Environment -- Transmission System Studies -- 9.10 Alternate AC Source -- 9.11 Study of Recent Events -- Actual Case of Transmission Grid Event Affecting a Nuclear Plant -- Questions and Problems -- References -- 10 Station Blackout: Issues and Regulations -- 10.1 Introduction -- 10.2 Regulations Relating to SBO Requirements -- Compliance with GDC 17 -- Compliance with GDC 18. Compliance with 10 CFR 50.63. EBL201811 Engineering SzGeCERN EBL Nuclear power plants-Electric equipment BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5514492 ebook n 201847 201811 21 PUBLIC https://catalogue.library.cern/legacy/2648210 BOOK MIGRATED 2648202 SzGeCERN 20210421203942.0 9783527338955 electronic version electronic version 9783527338955 print version 9783527691692 electronic version electronic version oai:cds.cern.ch:2648202 cerncds:BOOK EBL 5510188 eng TK7872.P75 .Z446 2018 621.381 Zheng, Li Rong Smart electronic systems heterogeneous integration of silicon and printed electronics Newark, NJ John Wiley & Sons 2018 296 p ebook Cover -- Title Page -- Copyright -- Contents -- Preface -- Acknowledgment -- Part I Materials and Processes for Printed Electronics -- Chapter 1 Introduction -- 1.1 Connected Smart World -- 1.2 Smart Electronic Systems -- 1.3 Overview of the Book -- References -- Chapter 2 Functional Electronic Inks -- 2.1 Introduction -- 2.1.1 Printing Technologies -- 2.1.1.1 Screen Printing -- 2.1.1.2 Gravure Printing -- 2.1.1.3 Flexographic Printing -- 2.1.1.4 Offset Printing -- 2.1.1.5 Inkjet Printing -- 2.1.1.6 Aerosol Printing -- 2.1.2 Fluid Requirements for Inkjet Inks -- 2.1.2.1 Boiling Point -- 2.1.2.2 Surface Tension -- 2.1.2.3 Viscosity -- 2.1.2.4 Particle Size -- 2.2 Conductive Inks -- 2.2.1 Metallic Nanoparticle Inks -- 2.2.2 Functionalized Multiwalled Carbon Nanotube (f‐MWCNT) Inks -- 2.2.2.1 Introduction -- 2.2.2.2 MWCNT Ink Formulation -- 2.2.2.3 Resistance Characterization -- 2.2.3 MWCNT/Polyaniline Composite Inks -- 2.2.3.1 Introduction -- 2.2.3.2 Composite Synthesis -- 2.2.3.3 Characterization of Water‐dispersible MWCNT/PANI Composite -- 2.3 Semiconductor Inks -- 2.3.1 Organic Semiconductor Inks -- 2.3.2 Single‐walled Carbon Nanotube (SWCNT) Inks -- 2.3.2.1 SWCNTs in Organic Solvents -- 2.3.2.2 SWCNTs in Water -- 2.3.2.3 SWCNT/Polymer Composite -- 2.3.3 SWCNT/Polymer Composites Inks -- 2.4 Summary -- References -- Part II Printed Electronic Building Blocks -- Chapter 3 Printed Thin‐film Transistors (TFTs) and Logic Circuits -- 3.1 Introduction -- 3.1.1 TFTs Versus Silicon MOSFETs -- 3.1.2 State‐of‐the‐art TFT Technologies -- 3.1.3 New TFT Technologies -- 3.2 TFT Structure and Operation -- 3.2.1 TFT Architectures -- 3.2.2 Electrical Characteristics of TFTs -- 3.2.2.1 Carrier Mobility (μ) -- 3.2.2.2 On/Off Ratio (Ion/Ioff) -- 3.2.2.3 Threshold Voltage (Vt) -- 3.2.2.4 Sub‐threshold Swing (SS) -- 3.3 Printed TFTs: an Overview. 3.4 Carbon Nanotube (CNT)‐network TFTs -- 3.4.1 Challenges in CNT‐network TFTs -- 3.4.2 Percolation Transport in Nanotube Networks -- 3.4.3 Solution‐process Fabrication of CNT‐TFTs -- 3.4.4 Electrical Performance Enhancement in CNT‐TFTs -- 3.4.4.1 Hysteresis Suppression -- 3.4.4.2 High μ and Large Ion/Ioff -- 3.4.4.3 Uniformity and Scalability -- 3.4.4.4 Ambient and Operational Stabilities -- 3.5 Logic Circuits Based on CNT‐TFTs -- 3.6 Summary -- References -- Chapter 4 Printed Passive Wireless Sensors -- 4.1 Introduction -- 4.2 Sensing Materials -- 4.2.1 Carbon Nanotube‐based Sensors -- 4.2.2 Functionalized Multiwalled Carbon Nanotubes as Humidity Sensing Material -- 4.2.2.1 Humidity Sensing Properties -- 4.2.2.2 Humidity Sensing Mechanism -- 4.2.2.3 Mechanical Flexibility -- 4.3 Passive UHF Wireless Sensor -- 4.3.1 Flexible UHF Humidity Sensor Based on Carbon Nanotube -- 4.3.1.1 Sensor Operation Principle -- 4.3.1.2 Flexible Humidity Sensor Demonstration -- 4.3.2 Sensor Optimization: Influence of Resistor‐electrode Structure -- 4.3.3 Analytical Model of Interdigital Electrode Capacitance -- 4.3.3.1 Interdigital Electrode and Interdigital Capacitance -- 4.3.3.2 Modified Analytical Models of IDCs -- 4.4 Passive UWB Wireless Sensor -- 4.4.1 Sensor Operation Principle -- 4.4.2 Theoretical Analysis and Data‐processing Algorithm -- 4.4.2.1 Theoretical Analysis -- 4.4.2.2 Data‐processing Algorithm -- 4.4.3 Sensor Prototype -- 4.4.4 Inkjet Printing of Coplanar Waveguide: Variable Ink‐layer Thickness Approach -- 4.4.4.1 Introduction -- 4.4.4.2 Variable Ink‐layer Thickness Approach -- 4.5 Summary -- References -- Chapter 5 Printed RFID Antennas -- 5.1 Introduction -- 5.1.1 Evolution of RFID‐enabled Ubiquitous Sensing -- 5.2 Future Trends and Challenges -- 5.2.1 Design Challenges for RFID Tag Antennas -- 5.3 RFID Antennas: Narrow Band. 5.3.1 Progressive Meander Line Antennas -- 5.3.1.1 Antennas Design Evolution and Geometry -- 5.3.1.2 Antenna Fabrication Parameters -- 5.3.1.3 Parametric Analysis -- 5.4 RFID Antennas: Wideband -- 5.4.1 Bowtie Antenna: Rounded Corners with T‐matching -- 5.4.1.1 Antenna Dimensions and Parametric Optimization -- 5.4.1.2 Field and Circuit Concepts Parametric Analysis -- 5.4.2 Bowtie Antenna: Square Hole‐matching Technique -- 5.4.2.1 Antenna Design Numerical Analysis and Optimization -- 5.4.2.2 Effective Aperture of Antenna -- 5.4.2.3 Results, Discussion, and Analysis -- 5.5 RFID Antennas: Sensor Enabled -- 5.5.1 Archimedean Spiral Antenna -- 5.5.1.1 Manufacturing Parametric Analysis -- 5.5.1.2 Parametric Analysis of Field and Circuit Concepts -- 5.5.2 RFID Antenna with Embedded Sensor and Calibration Functions -- 5.5.2.1 Antenna as a Sensor Design -- 5.6 Summary -- References -- Chapter 6 Printed Chipless RFID Tags -- 6.1 Introduction -- 6.1.1 RFID History -- 6.1.2 RFID System -- 6.1.3 RFID Advantages -- 6.1.4 RFID Applications -- 6.1.4.1 Logistics -- 6.1.4.2 Healthcare -- 6.1.4.3 Retail -- 6.1.4.4 Manufacturing -- 6.1.4.5 Transportation -- 6.1.4.6 Agriculture -- 6.1.5 RFID Challenges -- 6.2 Time‐domain‐based RFID Tags -- 6.3 Frequency‐domain‐based RFID Tags -- 6.4 Printing of Chipless RFID Tags -- 6.4.1 Printing of Time‐domain RFID Tags -- 6.4.2 Printing of Frequency Domain Chipless RFID Tags -- 6.5 Summary -- 6.5.1 Large Coding Capacity -- 6.5.2 Compact Size -- 6.5.3 Configurability -- References -- Part III System Integration for Printed Electronics -- Chapter 7 Heterogeneous Integration of Silicon and Printed Electronics -- 7.1 Introduction -- 7.2 Inkjet‐printed Interconnections -- 7.2.1 Inkjet Printing Technology -- 7.2.2 Electrical Performance and Morphology -- 7.2.3 Reliability Evaluation in 85 °C/85% RH Ambient -- 7.3 Heterogeneous Integration. 7.3.1 Introduction of Traditional Integration Approach -- 7.3.2 Heterogeneous Integration Process -- 7.3.3 Electrical Performance of Heterogeneous Interconnects -- 7.3.4 Bendability of Heterogeneous Interconnects -- 7.4 Summary -- References -- Chapter 8 Intelligent Packaging: Humidity Sensing System -- 8.1 Introduction -- 8.2 Plastic‐based Humidity Sensor Box Prototype -- 8.2.1 Architecture of Humidity Sensor Box -- 8.2.2 f‐MWCNT‐based Resistive Humidity Sensor -- 8.2.3 System Integration -- 8.3 Paper‐based Humidity Sensor Card Prototype -- 8.3.1 Fatigue of Interconnects versus Bending and Folding -- 8.3.1.1 Sample Fabrication and Experimental Setups -- 8.3.1.2 Fatigue Test Results and Discussion -- 8.3.2 Bendability of the Humidity Sensor -- 8.3.3 Demonstration of Humidity Sensor Cards -- 8.4 Summary -- References -- Chapter 9 Wearable Healthcare Device: Bio‐Patch -- 9.1 Introduction -- 9.2 System Overview -- 9.2.1 Bio‐signals -- 9.2.2 Customized Bio‐sensing Chip -- 9.2.3 Inkjet‐printed Electrodes -- 9.3 Paper‐based Bio‐Patch -- 9.4 Polyimide‐based Multi‐channel Bio‐Patch -- 9.5 Polyimide‐based Miniaturized Bio‐Patch -- 9.6 Summary -- References -- Chapter 10 Life Cycle Assessment (LCA) for Printed Electronics -- 10.1 Introduction -- 10.2 Analysis Methodology -- 10.3 Environmental Footprint -- 10.4 Sustainable Production of Polymer‐ and Paper‐based RFID Antennas -- 10.5 Summary -- References -- Index -- EULA. EBL201811 Engineering SzGeCERN EBL Printed electronics BOOK Tenhunen, Hanno Zou, Zhuo https://cds.cern.ch/auth.py?r=EBLIB_P_5510188 ebook n 201847 201811 21 PUBLIC https://catalogue.library.cern/legacy/2648202 BOOK MIGRATED 2648186 SzGeCERN 20210421203944.0 9781787690912 electronic version electronic version 9781787690912 print version 9781787690929 electronic version electronic version oai:cds.cern.ch:2648186 cerncds:BOOK EBL 5507859 eng QA76.9.D343 .U733 2018 005.74 Biloria, Nimish Urban informatics decoding urban complexities through data-sciences Bradford Emerald Publishing 2018 164 p ebook Smart and sustainable built environment 1 Covers -- Editorial advisory board -- Guest editorial -- Participatory urban informatics: towards citizen-ability -- Towards typogenetic tools for generative urban aesthetics -- Towards a multi-scalar framework for smart healthcare -- Mapping preferences for the number of built elements -- Monitoring urban environmental phenomena through a wireless distributed sensor network -- Spatio-temporal analysis of trajectories for safer construction sites -- Modelling walking and cycling accessibility and mobility -- A modelling methodology for a solar energy-efficient neighbourhood -- ParticipationPlus -- Experimentation at scale: challenges for making urban informatics work. EBL201811 Computing and Computers SzGeCERN BOOK Roggema, Rob den, Andy van https://cds.cern.ch/auth.py?r=EBLIB_P_5507859 ebook n 201847 201811 21 PUBLIC https://catalogue.library.cern/legacy/2648186 BOOK MIGRATED 2647209 SzGeCERN 20210422083337.0 9783319997186 print version 9783319997193 electronic version electronic version 9783319997209 print version DOI 10.1007/978-3-319-99719-3 e-proceedings oai:cds.cern.ch:2647209 cerncds:CONF eng QA71-90 004 23 IV AMMCS International Conference Waterloo, Canada 20 - 25 Aug 2017 2017 waterloo20170820 CA 20170825 20170820 Cham Springer 2018 ebook Springer proceedings in mathematics & statistics 2194-1009 259 Part I: Advances in Mathematical and Statistical Modelling -- Part II: Analytical and Computational Methods in Inverse Problems -- Part III: Computational Methods and Modelling in Engineering and Mechanics -- Part IV: Mathematical Modelling and Computation in Physical and Chemical Sciences -- Part V: Mathematical Modelling in Biological and Environmental Sciences -- Part VI: Mathematical Modelling in Medical and Health Sciences -- Part VII: Mathematics and Computation in Finance, Economics, and Social Sciences -- Part VIII: Theory and Applications of Dynamical Systems. This book focuses on the recent development of methodologies and computation methods in mathematical and statistical modelling, computational science and applied mathematics. It emphasizes the development of theories and applications, and promotes interdisciplinary endeavour among mathematicians, statisticians, scientists, engineers and researchers from other disciplines. The book provides ideas, methods and tools in mathematical and statistical modelling that have been developed for a wide range of research fields, including medical, health sciences, biology, environmental science, engineering, physics and chemistry, finance, economics and social sciences. It presents original results addressing real-world problems. The contributions are products of a highly successful meeting held in August 2017 on the main campus of Wilfrid Laurier University, in Waterloo, Canada, the International Conference on Applied Mathematics, Modeling and Computational Science (AMMCS-2017). They make this book a valuable resource for readers interested not only in a broader overview of the methods, ideas and tools in mathematical and statistical approaches, but also in how they can attain valuable insights into problems arising in other disciplines. Mathematics and statistics SPR201811 SzGeCERN Mathematical Physics and Mathematics SPR Mathematical and Computational Biology SPR Mathematics in the Humanities and Social Sciences CONFERENCE PROCEEDINGS Kilgour, D ed. Kunze, Herb ed. Makarov, Roman ed. Melnik, Roderick ed. Wang, Xu ed. Recent advances in mathematical and statistical methods SPR n 201846 201811 42 PUBLIC https://catalogue.library.cern/legacy/2647209 PROCEEDINGS MIGRATED 2647123 SzGeCERN 20210421204047.0 9781493988488 print version 9781493988495 print version 9781493988501 electronic version electronic version DOI 10.1007/978-1-4939-8850-1 ebook oai:cds.cern.ch:2647123 cerncds:BOOK eng QA276-280 519.5 23 Thioulouse, Jean Multivariate analysis of ecological data with ade4 New York, NY Springer 2018 ebook Chapter 1: Introduction -- Chapter 2: Useful R functions and data structures -- Chapter 3: The dudi class -- Chapter 4: Multivariate analysis graphs -- Chapter 5: Description of environmental variables structures -- Chapter 6: Description of species structures -- Chapter 7: Taking into account groups of sites -- Chapter 8: Description of species-environment relationships -- Chapter 9: Analysing changes in structures -- Chapter 10: Analysing changes in co-structures -- Chapter 11: Relating species traits to environment -- Chapter 12: Analysing spatial structures -- Chapter 13: Analysing phylogenetic structures -- Chapter 14: Analysing phylogenetic structuresAnalysing patterns of biodiversity. This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data. It is implemented around the mathematical concept of the duality diagram, and provides a unified framework for multivariate analysis. The authors offer a detailed presentation of the theoretical framework of the duality diagram and also of its application to real-world ecological problems. These two goals may seem contradictory, as they concern two separate groups of scientists, namely statisticians and ecologists. However, statistical ecology has become a scientific discipline of its own, and the good use of multivariate data analysis methods by ecologists implies a fair knowledge of the mathematical properties of these methods. The organization of the book is based on ecological questions, but these questions correspond to particular classes of data analysis methods. The first chapters present both usual and multiway data analysis methods. Further chapters are dedicated for example to the analysis of spatial data, of phylogenetic structures, and of biodiversity patterns. One chapter deals with multivariate data analysis graphs. In each chapter, the basic mathematical definitions of the methods and the outputs of the R functions available in ade4 are detailed in two different boxes. The text of the book itself can be read independently from these boxes. Thus the book offers the opportunity to find information about the ecological situation from which a question raises alongside the mathematical properties of methods that can be applied to answer this question, as well as the details of software outputs. Each example and all the graphs in this book come with executable R code. Mathematics and statistics SPR201811 SzGeCERN Mathematical Physics and Mathematics SPR Statistics SPR Statistics for Life Sciences, Medicine, Health Sciences BOOK Dray, Stéphane Dufour, Anne-Béatrice Siberchicot, Aurélie Jombart, Thibaut Pavoine, Sandrine SPR n 201846 201811 21 PUBLIC https://catalogue.library.cern/legacy/2647123 BOOK MIGRATED 2647029 SzGeCERN 20181114150012.0 17 30 June 2018 Le Dauphiné 2018 CERN Depot 3, bldg. 2 (DE3) PRESSCUT-H-2018-358 CUTTING Plan de prévention du bruit dans l’environnement : un outil stratégique 2018 paper SzGeCERN XX Environmental Noise Prevention Plan: A Strategic Tool h 201846 PRESSCUT-H-2018-358 fre 2646999 SzGeCERN 20210422083345.0 9783319917900 print version 9783319917917 electronic version electronic version 9783319917924 print version DOI 10.1007/978-3-319-91791-7 e-proceedings oai:cds.cern.ch:2646999 cerncds:CONF eng TA169.7 T55-55.3 23 621.389 20170522 1st Scientific International Conference on CBRNe Rome, Italy 22 - 24 May 2017 2017 rome20170522 1 ES SICC 2017 20170524 Cham Springer 2018 ebook A novel and transportable active interrogation system for special nuclear material interdiction -- A Human Rights perspective on CBRN security. Derogations, limitations of rights and positive obligations in risk and crisis management -- The International Maritime Security Legislation and future perspectives for Italian ports -- The Erosion of the International Banon Chemical Weapons - the Khan Shaykhun Attack Case. Challenges and Perspectives for the Chemical Weapons Convention -- The impact of Climate Change on radiological emergencies in Italy: a case study in a Nuclear Medicine department -- Academic outreach in non-proliferation: the Dual Space System course -- Cranfield University Centre of Excellence in Counter-Terrorism -- The EU Response to the CBRN Terrorism Threat: A Critical Overview of the Current Policy and Legal Framework -- Best practices in Nuclear Medicine -- Chemical & Biological Weapons Conventions: Orienting To Emerging Challenges through a CooperativeApproach -- Comparison of Classification Methods for Spectral Data of Laser-induced Fluorescence -- Variations in fluorescence spectra of a bacterial population during different growth phases -- Field based multiplex detection of biothreat agents -- Provisioning for Sensory Data using Enterprise Service Bus: A Middleware Epitome -- First measurement using COUNTERFOG device: Chemical Warfare Agent Scenario -- Arms Control Law as the Common Legal Framework for CBRN Security -- Crisis Managers Workload Assessment During A Simulated Crisis Situation -- Increasing Forensic Awareness of CBRNE Responders and CBRNE Awareness of Forensic Experts: a Pan-European Challenge -- Experimental real-time tracking and numerical simulation of hazardous dust dispersion in atmosphere -- On the reconstruction of a radiological incident and its possible implications for an R-type terror attack -- A Mobile Complex System for fast internal contamination monitoring in nuclear and radiological terrorism scenarios -- “One Single Official Voice or Multiple Voices?”Ensuring Regulatory Compliance in Communicating (CBRN) Emergency or Crises -- The Risk Management and the transfer to the insurance market -- Safety in the transport of hazardous substances in residential areas: cases of the release of T.I.C. (chlorine, propane and butane) at low temperatures -- Early-warning crisis management systems for CBRNe attacks in high threat infrastructures -- Explosion risks inside pharmaceutical, agro-alimentary and energetic industries as a consequence of critical dust conditions: a numerical model to prevent these accidents -- Game Theory as Decision Making Tool in Conventional and Non-Conventional Events -- 3D numerical simulation of a chlorine release in an urban area -- Multidisciplinary education in managing maxi-health emergencies in unconventional events Preliminary results from the International Security/Safety/Global Strategy and Medical Maxi-Emergency (ISSMMdelta) Master -- Experimental real-time tracking and numerical simulation of hazardous dust dispersion in atmosphere -- CBRN events and mass evacuation planning -- Community Awareness in Disaster and Emergency Settings: A Case Study of the United Arab Emirates -- Thymol and Bromothymol: two alleys in biological weapons defeat -- The Potentiality of Improvised Explosives Devices to Trigger Domino Effects -- Fast response CBRN high scale decontamination system: COUNTERFOG -- Eco-Friendly Air Decontamination of Biological Warfare Agents Using “Counterfog” System -- CBRN Innovation Lab: a platform for improving risk knowledge and warning of CBRN hazards in Abu Dhabi -- Application of economic analysis to the selection of security measures against environmental accidents in a chemical installation -- Economic Impact of Biological Incidents: a Literature Review -- The Increasing Risk of Space Debris Impact on Earth: Case Studies, Potential Damages, International Liability Framework and Management Systems -- IoT-based eHealth Towards Decision Support System for CBRNE Events -- Modeling and Optimization of the Health Emergency Services Regional Network (HES-RN) in Morocco: Study Case of HES-RN of Rabat region -- EU CBRN Centres of Excellence Effective Solutions to Reduce CBRNE risks -- A Facebook Page Created Soon After the Amatrice Earthquake Provides a Useful Communication Tool for DeafPeople, Their Relatives and Caregivers -- Image/data transmission systems of the Italian Fire and Rescue Service in emergency contexts. An overview of methods and technologies to support decision-making -- International Training Curriculum for advisors in emergencies and CBRNe events management -- A framework for TTX specification andEvaluation -- FOG DYNAMICS -- Numerical analysis of natural outbreaks and intentional releases of emerging and reemerging pathogens: preliminary evidence -- Sampling and Analytical Biological Screening on Letters and Parcels by Italian Department of Firefighters Public Rescue and Civil Defense National Fire Corps. The Experience of C.B.R.N. Advanced Team of Venice for the Realization of Standard Procedures -- Definition of a model to perform and evaluate training activities on external emergency plans of the “Seveso III" Industries. This book presents the proceedings of SICC 2017, a conference devoted to promoting the dissemination of the different methodologies, techniques, theories, strategies, technologies and best practices on the prevention and mitigation of CBRNE risks. As the first scientific international conference on safety & security issues in the CBRNE field, SICC 2017 attracted contributions resulting from fruitful inter-professional collaborations between university and military experts, specialized operators, decision makers and the industry. As such, these proceedings are primarily intended for academics and professionals from public, private and military entities. It is the first trans-disciplinary collection of scientific papers from the numerous fields related to CBRNE. Physics and astronomy SPR201811 SzGeCERN Health Physics and Radiation Effects SPR Data protection SPR Chemicals SPR Environmental protection SPR Security Science and Technology SPR Security SPR Safety in Chemistry, Dangerous Goods SPR Systems and Data Security SPR Effects of RadiationRadiation Protection CONFERENCE PROCEEDINGS Malizia, Andrea ed. D'Arienzo, Marco ed. Enhancing CBRNE safety & security : proceedings of the SICC 2017 Conference : science as the first countermeasure for CBRNE and cyber threats SICC 2017 Acronym 201811 SPR n 201845 42 PUBLIC https://catalogue.library.cern/legacy/2646999 PROCEEDINGS MIGRATED 2646984 SzGeCERN 20210421204049.0 9783319981703 print version 9783319981710 electronic version electronic version DOI 10.1007/978-3-319-98171-0 ebook oai:cds.cern.ch:2646984 cerncds:BOOK eng TK9001-9401 333.7924 23 Morse, Edward Nuclear fusion Cham Springer 2018 ebook Graduate texts in physics 1868-4513 Chapter1: Fundamental concepts -- Chapter2: Fusion nuclear reactions -- Chapter3: Collisions and basic plasma physics -- Chapter4: Energy gain and loss mechanisms in plasmas and reactors -- Chapter5: Magnetic confinement -- Chapter6: Magnetohydrodynamic stability -- Chapter7: Transport -- Chapter8: Stellarators -- Chapter9: Plasma heating in magnetic fusion devices -- Chapter10: Inertial Fusion -- Chapter11: Fusion technology -- Chapter12: Economics, environmental, and safety issues. The pursuit of nuclear fusion as an energy source requires a broad knowledge of several disciplines. These include plasma physics, atomic physics, electromagnetics, materials science, computational modeling, superconducting magnet technology, accelerators, lasers, and health physics. Nuclear Fusion distills and combines these disparate subjects to create a concise and coherent foundation to both fusion science and technology. It examines all aspects of physics and technology underlying the major magnetic and inertial confinement approaches to developing nuclear fusion energy. It further chronicles latest developments in the field, and reflects the multi-faceted nature of fusion research, preparing advanced undergraduate and graduate students in physics and engineering to launch into successful and diverse fusion-related research. Nuclear Fusion reflects Dr. Morse’s research in both magnetic and inertial confinement fusion, working with the world’s top laboratories, and embodies his extensive thirty-five year career in teaching three courses in fusion plasma physics and fusion technology at University of California, Berkeley. Combines theory, experiments, and technology into a single teaching text and reference Written in a concise style, accessible to both physicists and engineers Presents computation on an equal footing with analytic theory Emphasizes the underlying basic science for all of the material presented Dr. Edward Morse is Professor of Nuclear Engineering at the University of California, Berkeley. He has authored over 140 publications in the areas of plasma physics, mathematics, fusion technology, lasers, microwave sources, neutron imaging, plasma diagnostics, and homeland security applications. For several years he operated the largest fusion neutron source in the US. Frequently consulted by the media to explain the underlying science and technology of nuclear energy policy and events, Dr. Morse is also a consultant and expert witness in applications of fusion neutrons to oil exploration. Physics and astronomy SPR201811 SzGeCERN Nuclear Physics - Theory SPR Energy SPR Nuclear energy SPR Heavy ions SPR Hadrons SPR Nuclear fusion SPR Plasma (Ionized gases) SPR Nuclear engineering SPR Nuclear Energy SPR Nuclear Fusion SPR Nuclear Engineering BOOK SPR n 201845 201811 21 PUBLIC https://catalogue.library.cern/legacy/2646984 BOOK MIGRATED 2646283 SzGeCERN 20220204114939.0 DOI IEEE 10.1109/I2MTC.2018.8409653 oai:inspirehep.net:1689276 cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1689276 2018-11-07T10:23:56Z 2018-11-08T05:00:08Z marcxml Inspire 1689276 eng Arpaia, Pasquale CERN IEEE Metrological characterization of high-performance delta-sigma ADCs: A case study of CERN DS-22 2018 6 p IEEE Metrological characterization of high-performance ΔΣ Analog-to-Digital Converters (ADCs) poses severe challenges to reference instrumentation and standard methods. In this paper, most important tests related to noise and effective resolution, nonlinearity, environmental uncertainty, and stability are proved and validated in the specific case of a high-performance ΔΣ ADC. In particular, tests setups are proposed and discussed and the definitions used to assess the performance are clearly stated in order to identify procedures and guidelines for high-resolution ADCs characterization. An experimental case study of the high-performance ΔΣ ADC DS-22 developed at CERN is reported and discussed by presenting effective alternative test setups. Experimental results show that common characterization methods by the IEEE standards 1241 [1] and 1057 [2] cannot be used and alternative strategies turn out to be effective. SzGeCERN Accelerators and Storage Rings SzGeCERN Engineering author Erbium author Modulation author Transfer functions author Quantization (signal) author Signal to noise ratio author Uncertainty author Large Hadron Collider author analogue-digital conversion author delta-sigma modulation author IEEE standards author environmental uncertainty author high-performance delta-sigma ADC author high-performance ΔΣ analog-to-digital converters author high-performance ΔΣ ADC DS-22 author IEEE standards 1241 author IEEE standards 1057 author high-resolution ADC characterization author reference instrumentation author CERN DS-22 author metrological characterization author High-Resolution ΔΣ ADCs author Metrological Characterization author Nonlinearity Tests CERN CERN LHC CERN HL-LHC Baccigalupi, Carlo CERN Martino, Michele CERN 8409653 C18-05-14.9 2018 13 2646478 8409653 houston20180514 ARTICLE ConferencePaper 2651851 SzGeCERN 20190226231419.0 9780128139769 electronic version 9780128139752 electronic version EBL 5602984 eng 621.48 Bindra, Hitesh Storage and hybridization of nuclear energy techno-economic integration of renewable and nuclear energy San Diego, CA Elsevier Science & Technology 2018 302 p Front Cover -- Storage and Hybridization of Nuclear Energy Techno-economic Integration of Renewable and Nuclear Energy -- Copyright -- Contents -- Contributors -- Preface -- Acknowledgment -- Chapter One: Economics of Advanced Reactors and Fuel Cycles -- 1.1. Introduction to Nuclear Power Economics -- 1.1.1. The Nuclear Fuel Cycle -- 1.1.2. Levelized Cost of Electricity -- 1.2. Capital Costs -- 1.2.1. Financing -- 1.2.2. Uncertainty -- 1.2.3. Delay -- 1.2.4. Technological Maturity -- 1.3. Front-End Fuel Cycle Costs -- 1.3.1. Mining and Milling -- 1.3.2. Conversion -- 1.3.3. Enrichment -- 1.3.4. Fuel Fabrication -- 1.4. Back-End Fuel Cycle Costs -- 1.4.1. Reprocessing -- 1.4.2. Storage -- 1.4.3. Disposal -- 1.4.4. Decommissioning -- 1.5. Advanced Reactors -- 1.5.1. Classes of Reactors -- 1.5.2. High-Temperature Reactors -- 1.5.3. Liquid-Fueled Molten Salt Reactors -- 1.5.4. Breeder Reactors -- 1.6. Advanced Fuel Cycles -- 1.7. Summary -- References -- Chapter Two: Hybrid and Integrated Nuclear Power, Compressed Air Energy Storage, and Thermal Energy Storage System -- 2.1. Introduction -- 2.1.1. Nuclear Power -- 2.1.2. Waste Energy From Nuclear Power -- 2.1.3. Energy Storage -- 2.1.4. Reuse of Stored Energy -- 2.2. Energy Storage and Reuse Technologies -- 2.2.1. Thermal Energy Storage -- 2.2.2. Compressed Air Energy Storage System -- 2.2.3. Compressed Air Energy System-Nonadiabatic -- 2.2.4. Compressed Air Energy System-Adiabatic -- 2.3. Hybrid and Integrated Production, Storage, and Reuse -- 2.4. Challenges and Gains -- References -- Chapter Three: Nuclear-Wind Powered Microgrid: Reduced-Order Modeling of LWR Response -- 3.1. Increasing Grid Penetration of Renewable Energy Sources -- 3.1.1. Impact on Nuclear Power -- 3.1.2. Load Following NPPs -- 3.2. Reduced-Order Model-Nuclear Reactor Dynamics -- 3.2.1. Temperature Feedback. 3.2.2. Energy Balance -- 3.2.3. Control System -- 3.3. Estimating Power Generation From Wind Energy Systems -- 3.3.1. Statistical Model of Wind Speed -- 3.3.2. Load Curve for NPP -- 3.4. Numerical Results -- 3.4.1. Integrated Microgrid: Expected Outcomes -- 3.5. Summary -- References -- Chapter Four: Nuclear Hydrogen Production -- 4.1. Introduction -- 4.1.1. Need for Hydrogen Production -- 4.1.2. Hydrogen -- 4.1.3. Nuclear Energy -- 4.2. Nuclear-Based Hydrogen Production -- 4.2.1. Low-Temperature Water Electrolysis -- 4.2.2. Steam Electrolysis (High-Temperature Electrolysis) -- 4.2.3. Steam Reforming -- 4.2.4. Thermochemical Decomposition of Water -- 4.2.5. Carbon, Hydrocarbon and Biomass Conversion -- 4.2.6. Radiolysis of Water -- 4.3. Nuclear Systems for Hydrogen Production -- 4.3.1. Light and Heavy Water Reactors -- 4.3.2. High-Temperature Gas Cooled Reactors -- 4.3.3. Liquid Metal Cooled Reactors -- 4.3.4. Gas-Cooled Fast Reactors -- 4.3.5. Molten Salt Reactors -- 4.3.6. Supercritical-Water Reactors -- 4.3.7. Fusion Reactors -- 4.4. Nuclear Hydrogen Technology -- 4.4.1. Nuclear Hydrogen System Integration -- 4.4.2. System Safety -- 4.4.3. Licensing Considerations -- 4.4.4. Nuclear Hydrogen Plant Economics -- 4.5. Worldwide Nuclear Hydrogen R&D -- 4.5.1. Argentina -- 4.5.2. Canada -- 4.5.3. China -- 4.5.4. European Union -- 4.5.5. France -- 4.5.6. India -- 4.5.7. Japan -- 4.5.8. Republic of Korea -- 4.5.9. Russian Federation -- 4.5.10. South Africa -- 4.5.11. United States of America -- References -- Further Reading -- Chapter Five: Selecting Favorable Energy Storage Technologies for Nuclear Power -- 5.1. Introduction -- 5.2. Descriptions of the Considered Energy Storage Technologies -- 5.2.1. Mechanical Energy Storage -- 5.2.1.1. Pumped Storage Hydropower -- 5.2.1.2. Compressed Air Energy Storage -- 5.2.1.3. Flywheels. 5.2.2. Electrical Energy Storage -- 5.2.2.1. Supercapacitors -- 5.2.2.2. Superconducting Magnetic Energy Storage -- 5.2.3. Electrochemical Energy Storage (Conventional Batteries) -- 5.2.3.1. Lithium-Ion Batteries -- 5.2.3.2. Sodium-Sulfur Batteries -- 5.2.3.3. Lead-Acid Batteries -- 5.2.3.4. Nickel-Cadmium Batteries -- 5.2.4. Electrochemical Energy Storage (Flow Batteries) -- 5.2.4.1. Zinc-Bromine Flow Batteries -- 5.2.4.2. Vanadium Redox Flow Batteries -- 5.2.5. Chemical Energy Storage -- 5.2.5.1. Hydrogen Energy Storage -- 5.2.6. Thermal Energy Storage (Sensible Heat) -- 5.2.6.1. Underground Thermal Energy Storage -- 5.2.6.2. Hot/Cold Water Storage -- 5.2.6.3. Solid Media Storage -- 5.2.7. Thermal Energy Storage (Latent Heat) -- 5.2.7.1. Thermochemicals -- 5.2.7.2. Molten Salts -- 5.2.7.3. Liquid Air -- 5.2.7.4. Phase Change Materials -- 5.3. Comprehensive Comparison of Energy Storage Technologies -- 5.3.1. Technical Maturity -- 5.3.2. Economic Feasibility -- 5.3.3. Environmental Impact -- 5.3.4. Logistical Constraints -- 5.3.5. Regional Policy and Market Conditions -- 5.3.6. Application Compatibility -- 5.3.7. Favorability Analysis -- 5.4. Case Studies -- 5.4.1. Case Study #1: Pumped Storage Hydropower in France -- 5.4.2. Case Study #2: Advanced Nuclear Power Plant in the United States -- 5.5. Closing Summary -- Appendix A: Performance Metrics for the Considered Energy Storage Technologies -- Appendix B: Policy and Market Conditions for Energy Storage Technologies -- Appendix C: Energy Storage Cost Comparisons -- Appendix D: Detailed Selection Methodology -- Acknowledgments -- References -- Chapter Six: Chemical Energy Storage -- 6.1. Introduction -- 6.1.1. Energy Storage Systems and Need -- 6.1.2. Role of Chemical Energy Storage -- 6.2. Lead-Acid and Lead-Carbon Batteries -- 6.2.1. Lead-Acid Batteries -- 6.2.2. Lead-Carbon Batteries. 6.2.3. Electrochemical Performance and Challenges -- 6.3. Sodium-Beta Alumina Membrane Batteries -- 6.3.1. Sodium-Sulfur and Sodium-Metal Halide Batteries -- 6.3.2. Components of Sodium Beta Batteries -- 6.4. Nickel-Cadmium and Nickel-Metal Hydride Battery -- 6.4.1. Nickel-Cadmium Batteries -- 6.4.2. Nickel-Metal Hydride Battery -- 6.5. Lithium-Ion Batteries and Applications -- 6.5.1. Lithium-Ion Batteries -- 6.5.2. Applications of Li-Ion Batteries and Challenges -- 6.6. Redox Flow Batteries (RFB) -- 6.6.1. All Vanadium Redox Flow Batteries -- 6.6.2. Other RFB -- 6.6.2.1. Iron/Chromium Flow Batteries (ICB) -- 6.6.2.2. Polysulfide/Bromine Flow Batteries (PSBs) -- 6.6.2.3. Hybrid Flow Battery (HFB) -- 6.6.2.4. Zinc/Bromine Flow Batteries (ZBB) -- 6.6.3. Challenges and Future R&D Needs for RFBs -- 6.7. Electrochemical Capacitors -- 6.7.1. Basic Principles -- 6.7.2. Electrostatic Double Layer Capacitors -- 6.7.3. Electrochemical Pseudocapacitors -- 6.7.4. Applications of Electrochemical Capacitors -- 6.8. Chemical Energy Storage Systems -- 6.8.1. Hydrogen Energy Storage System -- 6.8.2. Fuel Cell -- 6.8.3. Other Chemical Energy Storage Systems -- 6.8.3.1. Synthetic Natural Gas (SNG) -- 6.8.3.2. Methane -- 6.8.3.3. Methanol, Ethanol, and Higher Alcohols -- 6.8.3.4. Liquid Hydrocarbons -- 6.8.3.5. Ammonia -- Further Reading -- Chapter Seven: Packed Bed Thermal Storage for LWRs -- 7.1. Thermal Storage for LWRs -- 7.1.1. Thermal Storage Options and Integration Concepts -- 7.1.2. Liquid vs. Solid Sensible Heat Storage -- 7.1.3. Limitations of Established Process Solutions -- 7.2. Solid Media for Storing Energy From LW-SMRs -- 7.2.1. History and Background: Sensible Heat Storage in Solids -- 7.2.2. Regenerative Counter-Current Heat Exchangers -- 7.2.3. Catalytic Beds and Reverse-Flow -- 7.3. Thermoclines and Stratification -- 7.3.1. Mixed vs Plug Flow. 7.3.2. Steam Injection in Packed Beds -- 7.3.3. Effective Thermal Diffusivity: Impact on Axial Temperature Front -- 7.3.3.1. Slow Steam Injection -- 7.3.3.2. Fast Steam Injection -- 7.4. State of the Art and Future Work -- Nomenclature -- Acknowledgments -- References -- Chapter Eight: Cryogenic Energy Storage and Its Integration With Nuclear Power Generation for Load Shift -- 8.1. Introduction to Cryogenic Energy Storage -- 8.1.1. Basic Principle and Technology Development History -- 8.1.2. Process Diagram, Performance Evaluation and Application Range -- 8.1.3. Experimental Results of the World First CES Pilot Plant -- 8.1.4. Comparison of CES With Other Major Large Scale Energy Storage Technologies -- 8.2. Integration of CES With NPPs -- 8.2.1. The Drive for Integration of CES With NPPs -- 8.2.2. The Principle and Flow Diagram of the Integration of CES With NPPs -- 8.2.3. The Operation Modes of the Integrated CES-NPP System -- 8.2.3.1. Electrical Energy Storage Mode -- 8.2.3.2. Electrical Energy Release Mode -- 8.2.3.3. Conventional Operation Mode -- 8.2.4. Performance Assessment of the Integrated CES-NPP System -- 8.2.4.1. Performance of the Integrated CES-NPP System -- 8.2.4.2. Performance Enhancement Through Adjusting Operating Conditions -- 8.3. Summary of the Chapter -- References -- Index -- Back Cover. Revankar, Shripad 9780128139752 print version oai:cds.cern.ch:2651851 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5602984 ebook ebook EBL201812 Engineering SzGeCERN BOOK n 201850 201812 21 PUBLIC BOOK DELETED 2651848 SzGeCERN 20190321204928.0 9780081000526 electronic version 9780444634740 electronic version EBL 5602427 eng 541.395 Ross, Julian R H Contemporary catalysis fundamental aspects of the preparation, characterisation and testing of heterogeneous catalysts and their application in catalytic processes Saint Louis, MO Elsevier 2018 403 p Front Cover -- Contemporary Catalysis -- Copyright Page -- Contents -- Preface -- Acknowledgments -- I. Fundamentals of Heterogeneous Catalysis -- 1 An Introduction to Heterogeneous Catalysis and Its Development Through the Centuries-Chemistry in Two Dimensions -- 1.1 Introduction -- 1.2 What Is a Catalyst? -- 1.3 Historical Background to the Development of Catalysis and Catalytic Processes -- 1.3.1 Some Milestones in the Early Development of Catalysis -- 1.3.1.1 Ammonia decomposition -- 1.3.1.2 Early work on catalytic oxidation -- 1.3.1.3 Berzelius and the concept of catalysis -- 1.3.2 The Earliest Industrial Catalytic Processes -- 1.3.2.1 The contact acid process -- 1.3.2.2 Oxidation of ammonia -- 1.3.2.3 Ammonia synthesis -- 1.3.2.4 Methanol synthesis -- 1.3.2.5 Hydrocarbon synthesis by the Fischer-Tropsch process -- 1.3.2.6 Steam reforming of methane and higher hydrocarbons -- 1.3.3 Some Parallel Advances on the Basics of Catalysis -- 1.3.3.1 Irving Langmuir and the development of ideas on chemisorption -- 1.3.4 Developments Related to the Use of Oil as a Fuel or Feedstock (1937-60) -- 1.3.4.1 Catalytic cracking -- 1.3.4.2 Other important developments -- 1.3.5 Developments Since 1963 -- 1.3.5.1 Surface science -- 1.4 The Scientific Literature on Catalysis -- 1.5 Other Developments in the Communication of Scientific Results -- 1.6 Conclusions -- 2 Surfaces and Adsorption -- 2.1 Introduction -- 2.2 Clean Surfaces -- 2.3 Langmuir's Work on Adsorption -- 2.4 The Langmuir Isotherm -- 2.5 The Chemisorption of Hydrogen -- 2.6 The Chemisorption of More Complex Molecules -- 2.7 Adsorption of Two Species, A and B -- 2.8 Nonhomogeneous Surfaces -- 2.9 Nonequilibrium Adsorption -- 2.10 The Process of Adsorption -- 2.11 Some Generalizations on Chemisorption -- 2.12 Physical Adsorption -- 2.13 Behavior of Physical Adsorption Isotherms at Values of P/Po≥0.3. 3 How Does a Catalyst Work? -- 3.1 Introduction -- 3.2 The Catalytic Process -- 3.2.1 Bimolecular Catalytic Processes -- 3.2.2 Unimolecular Catalytic Processes -- 3.2.3 Reversibility in Catalytic Processes -- 3.2.4 Selectivity in Catalytic Processes -- 3.2.5 Kinetics and Mechanism -- 3.3 The Catalyst and the Catalytic Site -- 3.4 Catalysis by Metals -- 3.4.1 Introductory Remarks -- 3.4.2 Unsupported Metal Catalysts -- 3.4.3 Supported Metal Catalysts -- 3.5 Oxides -- 3.6 Sulfides -- 3.7 Conclusions -- 4 Catalyst Preparation -- 4.1 Importance of Active Surface Area and of Catalyst Structure -- 4.2 Catalyst Preparation -- 4.2.1 The Active Surface -- 4.3 Catalyst Supports -- 4.3.1 Introductory Remarks -- 4.3.2 Alumina, Al2O3 -- 4.3.3 Silica, SiO2 -- 4.3.4 SiO2-Al2O3 and Zeolites -- 4.3.5 Titania, TiO2 -- 4.3.6 Zirconia, ZrO2 -- 4.3.7 Carbon -- 4.3.8 "Forming" of the Support -- 4.4 Supported Catalysts -- 4.4.1 Impregnated Catalysts -- 4.4.2 Co-Precipitated Catalysts -- 4.4.2.1 Precipitation of single cations -- 4.4.2.2 Precipitation of several cations together: coprecipitation -- 4.4.2.3 Precipitation and coprecipitation using urea decomposition -- 4.4.2.4 Decomposition of amino complexes -- 5 Catalyst Characterization -- 5.1 The Importance of Catalyst Characterization -- 5.2 Overall Chemical Composition of the Catalyst -- 5.2.1 Wet Analytical Techniques -- 5.2.2 X-Ray Fluorescence -- 5.2.3 Nature and Structure of the Phases Present in a Catalyst -- 5.3 Surface Composition -- 5.4 Surface Area and Porosity -- 5.5 Size, Shape, and Dispersion -- 5.5.1 Electron Microscopy -- 5.5.2 X-Ray Line Broadening -- 5.6 Acidity or Basicity -- 5.7 Catalytic Activity, Selectivity and Stability Under Operating Conditions -- 6 Catalytic Reactors and the Measurement of Catalytic Behavior -- 6.1 Introduction -- 6.2 Static Reactors -- 6.3 Stirred and Recirculation Reactors. 6.3.1 Stirred Reactors -- 6.3.2 Recirculation Reactors -- 6.4 Flow Reactors -- 6.5 Fluidized Bed Reactors -- 6.6 Pulse Reactors -- 6.7 The Temporal Analysis of Products Reactor -- 6.8 SSITKA -- 6.9 In Situ/"Operando" Methods -- 6.10 Microreactor Methods -- 6.11 Conclusions -- 7 The Kinetics and Mechanisms of Catalytic Reactions -- 7.1 Introduction -- 7.2 Unimolecular Reaction of a Single Reactant A to Give Products -- 7.3 Bimolecular Reactions-Langmuir-Hinshelwood Kinetics -- 7.4 Bimolecular Reactions-Eley-Rideal Kinetics -- 7.5 The Mars-Van Krevelen Mechanism -- 7.6 Some Practical Examples of Mechanistic Kinetic Approaches -- 7.6.1 The Langmuir Equation and the Pressure Function -- 7.6.2 Ammonia Synthesis -- 7.6.3 Ethane Hydrogenolysis -- 7.6.4 Methanation -- 7.6.5 Formic Acid Decomposition -- 7.7 Conclusions -- 8 Mass and Heat Transfer Limitations and Other Aspects of the Use of Large-Scale Catalytic Reactors -- 8.1 Introduction -- 8.2 The Importance of Mass Transfer in Catalysis -- 8.2.1 External Diffusion -- 8.2.2 Internal Diffusion -- 8.2.3 Effects of Diffusion Limitations on Selectivity -- 8.2.4 Effects of Diffusion Limitations on Catalyst Poisoning -- 8.3 Heat Transfer in Catalysis -- 8.3.1 Sequential Reactions -- 8.3.2 Reversible Reactions -- 8.3.3 Reactors for Exothermic Reversible Reactions -- 8.3.4 The Chemical Heat Pipe: "The Adam and Eve Process" -- II. Current Applications of Heterogeneous Catalysis -- 9 CO2 and Energy -- 9.1 Introductory Remarks -- 9.2 Wood and Biomass -- 9.3 Coal -- 9.4 Oil -- 9.5 Gas -- 10 Catalysis in the Production of Energy Carriers From Oil -- 10.1 Introduction -- 10.2 Crude Oil -- 10.3 Crude Oil Distillation and Feedstock Cleaning -- 10.4 Hydrodesulfurization -- 10.5 Isomerization -- 10.6 Reforming of Heavy Naphtha -- 10.7 Fluid Catalytic Cracking. 11 Production of Hydrogen and Syngas From Methane and Some Other Reactions of Methane -- 11.1 Introduction -- 11.2 Conversion of Natural Gas to Syngas -- 11.3 Other Reactions of Natural Gas -- 11.3.1 Methane Coupling -- 11.3.2 Methane to Other Products -- 12 Catalytic Reactions Involving Syngas, Hydrogen, or Carbon Monoxide for the Production of Intermediates and Chemicals -- 12.1 Introduction -- 12.2 Ammonia Production and Uses -- 12.3 Synthesis and Uses of Methanol and Higher Alcohols -- 12.4 Hydrocarbon Formation by the Fischer-Tropsch Process -- 13 Environmental Catalysis -- 13.1 Introduction -- 13.2 Selective Catalytic Reduction of NOx -- 13.3 Automobile Exhaust Catalysts -- 13.3.1 Normal Engine Operation -- 13.3.2 Lean-Burn Engines -- 13.3.3 Control of Diesel Emissions -- 13.4 Control of Volatile Organic Compounds -- 14 Conversion of Hydrocarbons to Intermediates by Catalytic Hydrogenation and Oxidation Routes -- 14.1 Introduction -- 14.2 Catalytic Hydrogenation Reactions -- 14.3 Selective Catalytic Oxidation -- 14.3.1 Dehydrogenation and Oxidative Dehydrogenation of Paraffins -- 14.3.2 Acetic Acid Production by Selective Oxidation of Ethane -- 14.3.3 Oxidation and Ammoxidation of Propylene to Produce Acrolein and Acrylonitrile -- 14.3.4 Maleic Anhydride Production -- 14.3.5 Miscellaneous Oxidation Processes -- 15 Catalysis in Biomass Conversion -- 15.1 Introduction -- 15.2 First Generation Biorefineries -- 15.3 Second Generation Biorefineries -- 15.4 Uses of Formic Acid Derived From Biomass -- 15.5 Conclusions -- Appendix: The Use of the Catalysis Literature -- A.1 Historic Development of the Literature on Catalysis -- A.2 Abstracting and Databases -- A.3 The Use of Citation Indexing in Literature Searching -- Index -- Back Cover. 9780444634740 print version oai:cds.cern.ch:2651848 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5602427 ebook ebook EBL201812 Chemical Physics and Chemistry SzGeCERN BOOK n 201850 201812 21 PUBLIC BOOK DELETED 2651838 SzGeCERN 20190119000035.0 9780081025291 electronic version 9780081025284 electronic version EBL 5589266 eng 621.199 Barik, Debabrata Energy from toxic organic waste for heat and power generation San Diego, CA Elsevier Science & Technology 2018 228 p Woodhead publishing series in energy Front Cover -- Energy from Toxic Organic Waste for Heat and Power Generation -- Copyright -- Contents -- Contributors -- Chapter 1: Introduction to Energy From Toxic Organic Waste For Heat and Power Generation -- Chapter 2: Toxic Waste From Municipality -- 2.1 Introduction -- 2.2 Methods of Energy Recovery From Wastes -- 2.2.1 Thermal Conversions -- 2.2.1.1 Incineration -- 2.2.1.2 Pyrolysis -- 2.2.1.3 Gasification -- 2.2.2 Biochemical Conversion -- 2.3 Conclusions -- References -- Chapter 3: Energy Extraction From Toxic Waste Originating From Food Processing Industries -- 3.1 Introduction -- 3.2 Properties of Food Processing Waste -- 3.3 Food Waste and Its Associated Problem -- 3.4 Food Waste Within the Food-Energy-Water Nexus: A Proposed Conceptual Model -- 3.5 Reducing Food Waste: A Problem of Human Behavior -- 3.5.1 Composting -- 3.5.2 Landfill -- 3.5.3 Anaerobic Digestion -- 3.5.3.1 Biogas From Biomass, a Feasibility Issue -- 3.5.3.2 Factors That Influence Biogas Production -- Temperature -- Pretreatment -- C/N Ratio -- pH -- Hydraulic Retention Time -- Solid Concentration -- Agitation -- Seeding of the Biogas Plant -- Particle Size of Feedstock -- Use of Additives -- Microbial Strains -- Green Biomass Addition With Feedstock -- Digested Slurry Recycling: -- 3.5.4 Thermal Conversion of Food Waste -- 3.5.4.1 Pyrolysis -- Pyrolysis Mechanism -- Conventional Pyrolysis: -- Fast Pyrolysis: -- Flash Pyrolysis: -- 3.5.4.2 Gasification -- 3.6 Conclusions -- References -- Further Reading -- Chapter 4: Toxic Waste From Textile Industries -- 4.1 Introduction -- 4.2 Global Textile Scenario -- 4.3 Pollution in Textile Industry -- 4.4 Toxic or Hazardous Wastes -- 4.5 Contaminated Textile Effluents With Chemicals -- 4.6 Chlorinated Solvents -- 4.7 Hydrocarbon Solvents-Aliphatic Hydrocarbons. 4.8 Hydrocarbon Solvents-Aromatic Hydrocarbons -- 4.9 Oxygenated Solvents (Alcohols/Glycols/Ethers/Esters/Ketones/Aldehydes) -- 4.10 Grease and Oil Impregnated Wastes -- 4.11 Used Oils -- 4.12 Dyestuffs and Pigments Containing Dangerous Substances -- 4.13 Heat and Energy Generation From Textile Industry Waste -- 4.14 Microbial Fuel Cells -- 4.15 Conclusion -- References -- Chapter 5: Toxic Waste From Leather Industries -- 5.1 Leather Industry -- 5.2 Leather Production Processes -- 5.3 Pollution From Leather Industry -- 5.3.1 Waste Water -- 5.3.2 Solid Wastes -- 5.3.3 Volatile Organic Compounds -- 5.4 Toxic Chemicals Used in Leather Industry -- 5.5 Heat and Energy Generation From Leather Processing Waste -- 5.5.1 UASB Technology With Sulfur Recovery Plant -- 5.5.2 Biomethanation for Solid Waste Disposal -- References -- Chapter 6: Toxic Waste From Biodiesel Production Industries and Its Utilization -- 6.1 Introduction -- 6.2 Biodiesel Production -- 6.2.1 Raw Materials for Biodiesel Production -- 6.2.1.1 Plant Oils (Edible) -- 6.2.1.2 Plant Oils (Nonedible) -- 6.2.1.3 Used Edible Oils -- 6.2.1.4 Microalgae -- 6.2.1.5 Animal Fats -- 6.2.2 Biodiesel Production Methods -- 6.2.2.1 Pyrolysis -- 6.2.2.2 Dilution -- 6.2.2.3 Microemulsification -- 6.2.2.4 Transesterification -- 6.3 Waste From Biodiesel Production -- 6.3.1 Waste Water -- 6.3.2 Ion Exchange Resins -- 6.3.3 Magnesium Silicate (Magnesol) -- 6.3.4 Used Oil Sediment -- 6.3.5 Glycerin -- 6.4 Utilization of Waste From Biodiesel Production -- 6.5 Conclusions -- References -- Further Reading -- Chapter 7: Paper Industry Wastes and Energy Generation From Wastes -- 7.1 Introduction -- 7.2 Paper Making -- 7.2.1 Worldwide Paper Production -- 7.3 Wastes -- 7.3.1 Categories of Potential Pollutants -- 7.3.2 Sources of Waste Generation. 7.4 Production of Energy Products From Paper Mill Wastes -- 7.4.1 Incineration -- 7.4.2 Gasification -- 7.4.3 Pyrolysis -- 7.4.4 Anaerobic Digestion -- 7.4.5 Biodiesel -- 7.5 Conclusions -- References -- Chapter 8: Health Hazards of Medical Waste and its Disposal -- 8.1 Introduction -- 8.2 Fundamental Principles of a Waste Management Program -- 8.2.1 Duties of the Hospital Project Manager -- 8.2.2 Duties of the Water and Habitat Engineer -- 8.2.3 Duties of the Hospital Administrator -- 8.2.4 Duties of the Head Nurse -- 8.2.5 Duties of the Chief Pharmacist -- 8.2.6 Duties of the Head of Laboratory -- 8.3 Categories of Health-Care Waste -- 8.3.1 Major Sources (Hospitals and Medical Centers) -- 8.3.2 Methods to Sort Waste -- 8.3.3 Types of Waste -- 8.3.4 Types of Hazards -- 8.4 Minimization, Recycling -- 8.5 Minimum Approach to Overall Management of Health-Care Waste -- 8.5.1 Health Impacts of Health-Care Waste -- 8.5.1.1 Types of Hazards -- 8.5.1.2 Persons at Risk -- 8.5.2 Key Facts -- 8.5.3 Health Risks -- 8.5.4 Sharps-Related -- 8.5.5 Environmental Impact -- 8.5.6 Waste Management: Reasons for Failure -- 8.5.7 Treatment Alternatives for Infectious Medical Waste -- 8.5.8 Collection and Storage -- 8.5.9 Transport -- 8.6 The Way Forward -- 8.6.1 WHO's Response -- 8.7 Parameters to Be Monitored by the Waste-Management Officer -- 8.7.1 Duties and Responsibilities of Various Officials -- 8.7.1.1 Infection-Control Officer -- 8.7.1.2 Chief Pharmacist -- 8.7.1.3 Adiation Officer -- 8.7.1.4 Supply Officer -- 8.7.1.5 Hospital Engineer -- 8.8 Financial Aspects of Health-Care Waste Management -- 8.9 National Plans for Health-Care Waste Management -- 8.9.1 Purpose of a National Management Plan -- 8.9.2 Treatment Alternatives -- 8.9.3 International Recommendations for Waste Management -- Further Reading. Chapter 9: Hazardous Waste and Its Treatment Process -- 9.1 Introduction -- 9.2 Hazardous Wastes Management in India -- 9.3 Hazardous Waste: Identification and Classification -- 9.3.1 Identification -- 9.3.1.1 Listed Hazardous Wastes (Priority Chemicals) -- Characteristics of Hazardous Wastes -- 9.3.2 Classification -- 9.4 Hazardous Waste Treatment -- 9.4.1 Chemical and Physical Process -- 9.4.2 Thermal Process -- 9.4.3 Biochemical Process -- References -- Chapter 10: Cracking of Toxic Waste -- 10.1 Introduction -- 10.2 Toxic Waste Worldwide-Status -- 10.3 Toxic Waste: Identification and Classification -- 10.3.1 Properties of Toxic Waste -- 10.3.1.1 Reactive Wastes -- 10.3.1.2 Ignitable Wastes -- 10.3.1.3 Corrosive Wastes -- 10.3.2 Classification -- 10.3.2.1 Arsenic -- 10.3.2.2 Asbestos -- 10.3.2.3 Chromium -- 10.3.2.4 Cyanide -- 10.3.2.5 Lead -- 10.3.2.6 Cadmium -- 10.3.2.7 Mercury -- 10.3.2.8 Polychlorinated Biphenyls -- 10.3.2.9 Persistent Organic Pollutants -- 10.4 Cracking of Toxic Waste -- 10.4.1 Methods -- 10.4.1.1 Arsenic -- 10.4.1.2 Asbestos Disposal -- 10.4.1.3 Chromium Disposal -- 10.4.1.4 Cyanide Disposal -- First Stage -- Second Stage -- 10.4.1.5 Lead -- 10.4.1.6 Polychlorinated Biphenyls -- 10.4.1.7 Persistent Organic Pollutants -- 10.5 Other Methods -- 10.5.1 Pyrolysis and Catalytic Cracking -- 10.5.1.1 Pyrolysis -- 10.5.1.2 Co-pyrolysis -- 10.6 Conclusions -- References -- Chapter 11: Power Generation From Renewable Energy Sources Derived From Biodiesel and Low Energy Content Producer Gas for ... -- 11.1 Introduction -- 11.1.1 Renewable Energy in India -- 11.1.2 Current Status, Challenges, and Opportunities -- 11.1.3 Projected MSW Profile -- 11.2 Present Work -- 11.3 Development of Reactor Shell for LDPE -- 11.3.1 Production of Fuel Oil. 11.4 Down Draft Gasifier for Production of Producer Gas -- 11.5 Properties of HOME, Fuel Oil, and Producer Gas -- 11.6 Experimental Setup -- 11.6.1 Carburetor or Mixing Chamber for Air and Producer Gas -- 11.7 Results and Discussions -- 11.7.1 Production of Fuel Oil From LDPE -- 11.7.1.1 Effect of Temperature on Thermal Conversion -- 11.7.1.2 Effect of Temperature on Catalytic Conversion -- 11.7.1.3 Effect of Catalyst Fraction -- 11.7.1.4 Effect of Conversion Time -- 11.8 Performance, Combustion, and Emission Characteristics of Dual Fuel Engine -- 11.8.1 Performance Characteristics -- 11.8.2 Emission Characteristics -- 11.8.3 Combustion Characteristics -- 11.9 Conclusions -- References -- Chapter 12: Economic Factors for Toxic Waste Management -- 12.1 Introduction -- 12.2 Waste and Its Management for Economic Growth -- 12.2.1 Toxic Waste Management -- 12.3 Economic Assessment -- 12.4 Urbanization Environmental Degradation and Economic Growth -- 12.5 Energy From the Waste -- 12.6 Conclusions -- References -- Chapter 13: Comprehensive Remark on Waste to Energy and Waste Disposal Problems -- Index -- Back Cover. 9780081025284 print version oai:cds.cern.ch:2651838 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5589266 ebook ebook EBL201812 Engineering SzGeCERN BOOK n 201850 201812 21 PUBLIC BOOK DELETED 2651808 SzGeCERN 20210421203742.0 9781536137989 electronic version electronic version 9781536137989 print version 9781536137996 electronic version electronic version oai:cds.cern.ch:2651808 cerncds:BOOK EBL 5572313 eng QA276.5 .C668 2018 519.5 Spiliotis, Mike Conventional and fuzzy regression New York, NY Nova Science Publishers 2018 344 p ebook Environmental science, engineering and technology Intro -- Contents -- Preface -- Chapter 1 -- Fuzzy and Crisp Regression Analysis between Sediment Transport Rates and Stream Discharge in the Case of Two Basins in Northeastern Greece -- Abstract -- CRISP Conventional Regression -- CRISP, No Conventional Regression -- Fuzzy Regression -- Case Studies -- Κimmeria Torrent Basin -- Kosynthos River Basin -- Conclusion -- Appendix I -- Fuzzy Numbers and Fuzzy Sets -- L-fuzzy Numbers -- Appendix II -- Extension Principle -- Appendix III -- References -- Biographical Sketches -- Chapter 2 -- The Best Fit Model for the Relationships of Heavy Metals between Selected Parts of Telescopium telescopium and Habitat Sediments Using Five Models of Regressions -- Abstract -- Introduction -- Materials and Methods -- Models Considered for Simple Regression Analysis -- Results and Discussion -- Model I: BCF Values or Correlation Analysis -- Models II, III, IV, V and VI -- Conclusion -- Acknowledgments -- References -- About the Author -- Chapter 3 -- Regression Analysis, Introduction, Theory and Applications in Telecommunications -- Abstract -- 1. Introduction -- 2. Theory -- 2.1. Simple Linear Regression -- 2.1.1. Example 1: Simple Linear Regression -- 2.2. Multiple Linear Regression -- 2.2.1. Example 2: Multiple Linear Regression with One Dependent Variable and Two Independent Variables -- 2.2.2. Example 3: Multiple Linear Regression with One Dependent Variable and Three Independent Variables -- 2.3. Logistic Regression -- 2.3.1. Example 4: Logistic Regression -- 2.4. Polynomial Regression -- 2.4.1. Example 5: Polynomial Regression (Quadratic Model) -- 2.4.2. Example 6. Polynomial Regression (Cubic Model) -- 2.5. Gaussian Process Regression -- 2.5.1. Example 7: Gaussian Process Regression -- 3. Applications of Regression Analysis in Telecommunications -- 3.1. Prediction in Wireless Systems. 3.2. Predictive Analytics in Internet of Things (IoT) Based Systems -- 3.3. Coding Theory: Extrinsic Information Scaling in Turbo Codes -- Conclusion -- Acknowledgments -- References -- About the Authors -- Chapter 4 -- From Global to Local: GWR as an Exploratory Tool for Spatial Phenomena -- Abstract -- Introduction -- Issues Emerging in Spatial Phenomena Research -- Spatial Dependence and Spatial Autocorrelation -- Spatial Heterogeneity/Spatial Non-Stationarity -- Spatial Expansion Method and Local Weighted Regression -- Geographically Weighted Regression (GWR) -- GWR Equation, Kernel and Bandwidth Choice -- Statistical Significance Levels and Statistical Significance of Coefficient Non-Stationarity -- Multicollinearity in GWR -- GWR Extensions -- Example -- Data -- Methodology -- Results -- Conclusion -- References -- Biographical Sketches -- Chapter 5 -- Fuzzy Regression Using Triangular Fuzzy Number Coefficients: Similarities of the Calibrated Fuzzy Models -- Abstract -- Introduction -- Symmetric Triangular Fuzzy Numbers -- Principles of Fuzzy Linear Regression -- An Application of Fuzzy Linear Regression Based on Symmetric Triangular Fuzzy Numbers -- Forecast with the Method of Fuzzy Linear Regression -- Comparison of the Forecasting Accuracy and Ability of the Fuzzy and the Classical Linear Regression -- Similarities in Fuzzy Regression Models -- Fuzzy Classification Using Similarity Ratios -- An Application of Similarity Ratios and Fuzzy Classification -- Discussion -- Conclusion -- References -- Biographical Sketches -- Chapter 6 -- Models of Fuzzy Linear Regression with Trapezoidal Membership Functions: Application in Hydrology -- Abstract -- 1. Introduction -- 2. Mathematical Model -- 2.1. Bisserier Model (2010) -- 2.1.1. Generalities -- 2.1.2. Identification Procedure -- 2.1.2.1. Optimization Criterion -- 2.1.2.2. Constraints. 2.1.3. Tendency Problem -- 2.2. Fung et al. (2006) Model -- 2.2.1. Generalities -- 2.2.2. Identification Procedure -- 2.2.2.1. Optimization Criterion -- 2.2.2.2. Constraints -- 2.2.3. Modified Model -- 2.3. Model of Tzimopoulos et al. (2016) -- 2.3.1. Generalities -- 2.3.2. Step 1 -- 2.3.2. Step 2 -- 3. Applications -- 3.1. Application 1 -- 3.1.1. Bisserier Shift Model -- 3.1.2. Fung et al. Model (initial) -- 3.1.3. Fung et al. Model (modified) -- 3.1.4. Tzimopoulos et al. Model -- 3.2. Application 2: A Hydrological Problem in the Region of Western Macedonia (Northern Greece) -- 3.2.1. Step 1 -- 3.2.2. Step 2 -- Conclusion -- References -- Biographical Sketches -- Chapter 7 -- Strength Determination of Fiber-Reinforced Soils Based on Multivariable Ordinary and Fuzzy Linear Regression Analyses -- Abstract -- Introduction -- Experimental Measurements -- Methods of analysis -- Multivariable Ordinary (Conventional) Linear Regression Method -- Fuzzy Linear Regression Method -- Determination of Model Credibility -- Development of Models -- Efficiency and Comparison of Models -- Conclusion -- Acknowledgments -- References -- Biographical Sketches -- Chapter 8 -- Eutrophication in a Mediterranean Lake using Fuzzy Linear Regression Method with Fuzzy Data -- Abstract -- 1. Introduction -- 2. Methodology -- 2.1. Study Area and Data Base -- 2.2. Description of the Fuzzy Model -- 2.2.1. Min Problem -- 2.2.2. Max Problem -- 2.2.3. The Least Squares Model -- 3. Results-Discussion -- Conclusion -- Appendix I -- An Application in Engineering Using the Methods of Min, Max and Least Squares -- Appendix II -- References -- Biographical Sketches -- About the Editors -- Index -- Blank Page. EBL201812 Mathematical Physics and Mathematics SzGeCERN EBL Fuzzy statistics BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5572313 ebook n 201850 201812 21 PUBLIC https://catalogue.library.cern/legacy/2651808 BOOK MIGRATED 2651766 SzGeCERN 20200503232010.0 9781138197053 electronic version electronic version 9781138197053 print version 9781315282602 electronic version electronic version oai:cds.cern.ch:2651766 cerncds:BOOK EBL 5566796 eng TK6592.S95 S55 2019 621.38485 Shimada, Masanobu Imaging from spaceborne and airborne SARs, calibration, and applications Milton Chapman and Hall/CRC 2018 392 p Sar remote sensing ser Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Epilogue -- Acknowledgments -- Author -- Chapter 1: Introduction -- Chapter 2: Introduction of the SAR System -- Chapter 3: SAR Imaging and Analysis -- Chapter 4: Radar Equation for SAR Correlation Power-Radiometry -- Chapter 5: ScanSAR Imaging -- Chapter 6: Polarimetric Calibration -- Chapter 7: SAR Elevation Antenna Pattern-Theory and Measured Pattern from the Natural Target Data -- Chapter 8: Geometry/Ortho-Rectification and Slope-Corrections -- Chapter 9: Calibration-Radiometry and Geometry -- Chapter 10: Defocusing and Image Shift due to the Moving Target -- Chapter 11: Mosaicking and Multi-Temporal SAR Imaging -- Chapter 12: SAR Interferometry -- Chapter 13: Irregularities (RFI and Ionosphere) -- Chapter 14: Applications -- Chapter 15: Forest Map Generation -- Index. https://cds.cern.ch/auth.py?r=EBLIB_P_5566796 ebook ebook EBL Environmental sciences-Remote sensing EBL201812 Engineering SzGeCERN BOOK n 201850 201812 21 PUBLIC BOOK DELETED 2651753 SzGeCERN 20210421203750.0 9781119504245 1119504244 9781119504221 oai:cds.cern.ch:2651753 cerncds:BOOK SAFARI 9781119504221 eng QA76.9.A25 .C437 2019 005.8 Chapple, Mike Comptia PenTest+ study guide exam PT0-001 Newark, NJ John Wiley & Sons 2018 541 p ebook Intro -- CompTIA® PenTest+ Study Guide -- Acknowledgments -- About the Authors -- Contents at a Glance -- Contents -- Introduction -- Assessment Test -- Answers to Assessment Test -- Chapter 1 Penetration Testing -- What Is Penetration Testing? -- Cybersecurity Goals -- Adopting the Hacker Mind-Set -- Reasons for Penetration Testing -- Benefits of Penetration Testing -- Regulatory Requirements for Penetration Testing -- Who Performs Penetration Tests? -- Internal Penetration Testing Teams -- External Penetration Testing Teams -- Selecting Penetration Testing Teams -- The CompTIA Penetration Testing Process -- Planning and Scoping -- Information Gathering and Vulnerability Identification -- Attacking and Exploiting -- Reporting and Communicating Results -- The Cyber Kill Chain -- Reconnaissance -- Weaponization -- Delivery -- Exploitation -- Installation -- Command and Control -- Actions on Objectives -- Tools of the Trade -- Reconnaissance -- Vulnerability Scanners -- Social Engineering -- Credential-Testing Tools -- Debuggers -- Software Assurance -- Network Testing -- Remote Access -- Exploitation -- Summary -- Exam Essentials -- Lab Exercises -- Activity 1.1: Adopting the Hacker Mind-Set -- Activity 1.2: Using the Cyber Kill Chain -- Review Questions -- Chapter 2 Planning and Scoping Penetration Tests -- Scoping and Planning Engagements -- Assessment Types -- White Box, Black Box, or Gray Box? -- The Rules of Engagement -- Scoping Considerations: A Deeper Dive -- Support Resources for Penetration Tests -- Key Legal Concepts for Penetration Tests -- Contracts -- Data Ownership and Retention -- Authorization -- Environmental Differences -- Understanding Compliance-Based Assessments -- Summary -- Exam Essentials -- Lab Exercises -- Review Questions -- Chapter 3 Information Gathering -- Footprinting and Enumeration -- OSINT. Location and Organizational Data -- Infrastructure and Networks -- Security Search Engines -- Active Reconnaissance and Enumeration -- Hosts -- Services -- Networks, Topologies, and Network Traffic -- Packet Crafting and Inspection -- Enumeration -- Information Gathering and Code -- Information Gathering and Defenses -- Defenses Against Active Reconnaissance -- Preventing Passive Information Gathering -- Summary -- Exam Essentials -- Lab Exercises -- Activity 3.1: Manual OSINT Gathering -- Activity 3.2: Exploring Shodan -- Activity 3.3: Running a Nessus Scan -- Review Questions -- Chapter 4 Vulnerability Scanning -- Identifying Vulnerability Management Requirements -- Regulatory Environment -- Corporate Policy -- Support for Penetration Testing -- Identifying Scan Targets -- Determining Scan Frequency -- Configuring and Executing Vulnerability Scans -- Scoping Vulnerability Scans -- Configuring Vulnerability Scans -- Scanner Maintenance -- Software Security Testing -- Analyzing and Testing Code -- Web Application Vulnerability Scanning -- Developing a Remediation Workflow -- Prioritizing Remediation -- Testing and Implementing Fixes -- Overcoming Barriers to Vulnerability Scanning -- Summary -- Exam Essentials -- Lab Exercises -- Activity 4.1: Installing a Vulnerability Scanner -- Activity 4.2: Running a Vulnerability Scan -- Activity 4.3: Developing a Penetration Test Vulnerability Scanning Plan -- Review Questions -- Chapter 5 Analyzing Vulnerability Scans -- Reviewing and Interpreting Scan Reports -- Understanding CVSS -- Validating Scan Results -- False Positives -- Documented Exceptions -- Understanding Informational Results -- Reconciling Scan Results with Other Data Sources -- Trend Analysis -- Common Vulnerabilities -- Server and Endpoint Vulnerabilities -- Network Vulnerabilities -- Virtualization Vulnerabilities -- Internet of Things (IoT). Web Application Vulnerabilities -- Summary -- Exam Essentials -- Lab Exercises -- Activity 5.1: Interpreting a Vulnerability Scan -- Activity 5.2: Analyzing a CVSS Vector -- Activity 5.3: Developing a Penetration Testing Plan -- Review Questions -- Chapter 6 Exploit and Pivot -- Exploits and Attacks -- Choosing Targets -- Identifying the Right Exploit -- Exploit Resources -- Developing Exploits -- Exploitation Toolkits -- Metasploit -- PowerSploit -- Exploit Specifics -- RPC/DCOM -- PsExec -- PS Remoting/WinRM -- WMI -- Scheduled Tasks and cron Jobs -- SMB -- RDP -- Apple Remote Desktop -- VNC -- X-Server Forwarding -- Telnet -- SSH -- Leveraging Exploits -- Common Post-Exploit Attacks -- Privilege Escalation -- Social Engineering -- Persistence and Evasion -- Scheduled Jobs and Scheduled Tasks -- Inetd Modification -- Daemons and Services -- Back Doors and Trojans -- New Users -- Pivoting -- Covering Your Tracks -- Summary -- Exam Essentials -- Lab Exercises -- Activity 6.1: Exploit -- Activity 6.2: Discovery -- Activity 6.3: Pivot -- Review Questions -- Chapter 7 Exploiting Network Vulnerabilities -- Conducting Network Exploits -- VLAN Hopping -- Network Proxies -- DNS Cache Poisoning -- Man-in-the-Middle -- NAC Bypass -- DoS Attacks and Stress Testing -- Exploiting Windows Services -- NetBIOS Name Resolution Exploits -- SMB Exploits -- Exploiting Common Services -- SNMP Exploits -- SMTP Exploits -- FTP Exploits -- Samba Exploits -- Wireless Exploits -- Evil Twins and Wireless MITM -- Other Wireless Protocols and Systems -- RFID Cloning -- Jamming -- Repeating -- Summary -- Exam Essentials -- Lab Exercises -- Activity 7.1: Capturing Hashes -- Activity 7.2: Brute-Forcing Services -- Activity 7.3: Wireless Testing -- Review Questions -- Chapter 8 Exploiting Physical and Social Vulnerabilities -- Physical Facility Penetration Testing. Entering Facilities -- Information Gathering -- Social Engineering -- In-Person Social Engineering -- Phishing Attacks -- Website-Based Attacks -- Using Social Engineering Tools -- Summary -- Exam Essentials -- Lab Exercises -- Activity 8.1: Designing a Physical Penetration Test -- Activity 8.2: Brute-Forcing Services -- Activity 8.3: Using BeEF -- Review Questions -- Chapter 9 Exploiting Application Vulnerabilities -- Exploiting Injection Vulnerabilities -- Input Validation -- Web Application Firewalls -- SQL Injection Attacks -- Code Injection Attacks -- Command Injection Attacks -- Exploiting Authentication Vulnerabilities -- Password Authentication -- Session Attacks -- Kerberos Exploits -- Exploiting Authorization Vulnerabilities -- Insecure Direct Object References -- Directory Traversal -- File Inclusion -- Exploiting Web Application Vulnerabilities -- Cross-Site Scripting (XSS) -- Cross-Site Request Forgery (CSRF/XSRF) -- Clickjacking -- Unsecure Coding Practices -- Source Code Comments -- Error Handling -- Hard-Coded Credentials -- Race Conditions -- Unprotected APIs -- Unsigned Code -- Application Testing Tools -- Static Application Security Testing (SAST) -- Dynamic Application Security Testing (DAST) -- Mobile Tools -- Summary -- Exam Essentials -- Lab Exercises -- Activity 9.1: Application Security Testing Techniques -- Activity 9.2: Using the ZAP Proxy -- Activity 9.3: Creating a Cross-Site Scripting Vulnerability -- Review Questions -- Chapter 10 Exploiting Host Vulnerabilities -- Attacking Hosts -- Linux -- Windows -- Cross-Platform Exploits -- Remote Access -- SSH -- Netcat and Ncat -- Proxies and Proxychains -- Metasploit and Remote Access -- Attacking Virtual Machines and Containers -- Virtual Machine Attacks -- Container Attacks -- Physical Device Security -- Cold-Boot Attacks -- Serial Consoles -- JTAG Debug Pins and Ports. Attacking Mobile Devices -- Credential Attacks -- Credential Acquisition -- Offline Password Cracking -- Credential Testing and Brute-Forcing Tools -- Wordlists and Dictionaries -- Summary -- Exam Essentials -- Lab Exercises -- Activity 10.1: Dumping and Cracking the Windows SAM and Other Credentials -- Activity 10.2: Cracking Passwords Using Hashcat -- Activity 10.3: Setting Up a Reverse Shell and a Bind Shell -- Review Questions -- Chapter 11 Scripting for Penetration Testing -- Scripting and Penetration Testing -- Bash -- PowerShell -- Ruby -- Python -- Variables, Arrays, and Substitutions -- Bash -- PowerShell -- Ruby -- Python -- Comparison Operations -- String Operations -- Bash -- PowerShell -- Ruby -- Python -- Flow Control -- Conditional Execution -- For Loops -- While Loops -- Input and Output (I/O) -- Redirecting Standard Input and Output -- Error Handling -- Bash -- PowerShell -- Ruby -- Python -- Summary -- Exam Essentials -- Lab Exercises -- Activity 11.1: Reverse DNS Lookups -- Activity 11.2: Nmap Scan -- Review Questions -- Chapter 12 Reporting and Communication -- The Importance of Communication -- Defining a Communication Path -- Communication Triggers -- Goal Reprioritization -- Recommending Mitigation Strategies -- Finding: Shared Local Administrator Credentials -- Finding: Weak Password Complexity -- Finding: Plain Text Passwords -- Finding: No Multifactor Authentication -- Finding: SQL Injection -- Finding: Unnecessary Open Services -- Writing a Penetration Testing Report -- Structuring the Written Report -- Secure Handling and Disposition of Reports -- Wrapping Up the Engagement -- Post-Engagement Cleanup -- Client Acceptance -- Lessons Learned -- Follow-Up Actions/Retesting -- Attestation of Findings -- Summary -- Exam Essentials -- Lab Exercises -- Activity 12.1: Remediation Strategies -- Activity 12.2: Report Writing. Review Questions. SAF201910 EBLlink deleted Computing and Computers SzGeCERN EBL Computer security-Examinations-Study guides EBL Hackers-Examinations-Study guides BOOK Seidl, David https://learning.oreilly.com/library/view/-/9781119504221/?ar ebook n 201850 201812 21 PUBLIC https://catalogue.library.cern/legacy/2651753 BOOK MIGRATED 2651750 SzGeCERN 20210421203750.0 9780128145210 electronic version electronic version 9780128145210 print version 9780128145227 electronic version electronic version oai:cds.cern.ch:2651750 cerncds:BOOK EBL 5558187 eng QD181.G2 .G355 2018 621.38152 Pearton, Stephen Gallium oxide technology, devices and applications San Diego, CA Elsevier 2018 510 p ebook Metal oxides Front Cover -- Gallium Oxide: Technology, Devices and Applications -- Copyright -- Contents -- List of contributors -- Series editor's biography -- Editors biography -- Preface to the series -- Preface -- Part One: Growth technology of Ga2O3 -- Chapter 1: Progress in MOVPE growth of Ga2O3 -- 1.1. Introduction -- 1.2. Homoepitaxial deposition of β-Ga2O3 -- 1.3. Heteroepitaxial deposition of β-Ga2O3 -- 1.4. Heteroepitaxial deposition of -Ga2O3 -- References -- Chapter 2: MBE growth and characterization of gallium oxide -- 2.1. Introduction -- 2.2. MBE growth of Ga2O3 and materials characterization -- 2.2.1. Oxide MBE equipment considerations -- 2.2.2. Amorphous Ga2O3 for gate dielectrics -- 2.2.3. Heteroepitaxy of Ga2O3 -- 2.2.4. Homoepitaxy of Ga2O3 -- 2.2.4.1. Substrate selection -- 2.2.4.2. Substrate cleaning -- 2.2.4.3. MBE growth optimization -- Substrate temperature -- Ga and oxygen flux -- 2.2.5. Stabilizing metastable phases -- 2.2.5.1. Tin-assisted -Ga2O3 -- 2.2.5.2. Indium-assisted -Ga2O3 -- 2.3. Current status and future prospects -- 2.4. Summary -- Acknowledgments -- References -- Chapter 3: Properties of sputter-deposited gallium oxide -- 3.1. Introduction -- 3.2. Experimental -- 3.2.1. Film fabrication -- 3.2.2. Characterization -- 3.2.2.1. Rutherford backscattering spectroscopy (RBS) -- 3.2.2.2. X-ray photoelectron spectroscopy (XPS) -- 3.2.2.3. Grazing incidence X-ray diffraction (GIXRD) -- 3.2.2.4. UV-vis spectroscopy -- 3.2.2.5. Spectroscopic ellipsoemetry -- 3.2.2.6. Mechanical characterization -- 3.3. Results and discussion -- 3.3.1. Chemical composition -- 3.3.1.1. RBS -- 3.3.1.2. XPS -- 3.3.2. Crystal structure -- 3.3.3. Optical properties -- 3.3.3.1. Spectrophotometry -- 3.3.4. Mechanical properties -- 3.4. Summary and conclusions -- Acknowledgments -- References. Chapter 4: Synthesis, optical characterization, and environmental applications of β-Ga2O3 nanowires -- 4.1. Introduction -- 4.2. Ambient controlled synthesis of β-Ga2O3 nanowires -- 4.3. Optical characterization of β-Ga2O3 nanowires -- 4.4. Photocatalytic property of β-Ga2O3 nanowires -- 4.5. Summary -- References -- Chapter 5: Growth, properties, and applications of β-Ga2O3 nanostructures -- 5.1. Introduction -- 5.2. Study of β-Ga2O3 nanostructures -- 5.2.1. β-Ga2O3 nanostructures using the CVD technique -- 5.2.2. β-Ga2O3 nanowires: Morphological and structural properties -- 5.2.3. Optical properties of β-Ga2O3 nanostructures -- 5.2.4. Application of β-Ga2O3 nanostructures -- 5.3. Functional nanowires based on β-Ga2O3 -- 5.3.1. Coaxial β-Ga2O3/GaN nanowires through ammonification of β-Ga2O3 nanowires -- 5.3.2. ZnGa2O4 nanowires through coaxial ZnO/β-Ga2O3 nanowires -- 5.3.3. β-Ga2O3 nanowires template mediated high-quality ultralong GaN nanowires -- 5.4. Conclusions and future perspective -- Acknowledgments -- References -- Part Two: Properties and Processing -- Chapter 6: Properties of (In,Ga)2O3 alloys -- 6.1. Introduction -- 6.2. Overview on crystal structures observed in (In,Ga)2O3 -- 6.3. Lattice parameters of bulk material -- 6.3.1. Rhombohedral (InxGa1-x)2O3 -- 6.3.2. Monoclinic β-(InxGa1-x)2O3 -- 6.3.3. Cubic (GaxIn1-x)2O3 -- 6.3.4. Hexagonal InGaO3 -- 6.4. Thin film growth -- 6.4.1. Growth of (In,Ga)2O3 thin films with lateral composition spread by PLD -- 6.4.2. Growth and phase formation of (In,Ga)2O3 thin films -- 6.5. Deep-UV absorption and band gap engineering -- 6.6. Phonon modes -- 6.7. Dielectric function and index of refraction -- 6.8. Schottky barrier diodes -- 6.9. Photodetectors -- 6.10. Summary and outlook -- References -- Further reading -- Chapter 7: Low-field and high-field transport in β-Ga2O3 -- 7.1. Introduction. 7.2. Electron-phonon interaction in β-Ga2O3 -- 7.2.1. Electron-LO phonon coupling -- 7.2.2. Electron-LO phonon-plasmon coupling -- 7.2.3. Short-range (nonpolar) electron-phonon coupling -- 7.3. Electron mobility in β-Ga2O3 -- 7.3.1. Bulk electron mobility -- 7.3.2. 2DEG mobility -- 7.4. Velocity-field curves in β-Ga2O3 -- 7.5. Summary -- Acknowledgments -- References -- Chapter 8: Electron paramagnetic resonance (EPR) from β-Ga2O3 crystals -- 8.1. Introduction -- 8.2. Crystal structure of β-Ga2O3 -- 8.3. Shallow donors and conduction electrons -- 8.4. Acceptors and self-trapped holes -- 8.4.1. Doubly ionized gallium vacancies -- 8.4.2. Neutral Mg acceptors -- 8.4.3. Self-trapped holes -- 8.5. Transition-metal and rare-earth ions -- 8.5.1. Cr3+ ions -- 8.5.2. Fe3+ ions -- 8.5.3. Mn2+ ions -- 8.5.4. Ti3+ ions -- 8.5.5. Er3+ ions -- 8.6. Oxygen vacancies -- Acknowledgments -- References -- Chapter 9: Hydrogen in Ga2O3 -- 9.1. Introduction -- 9.2. Hydrogen in the transparent conducting oxides ZnO, SnO2, and In2O3 -- 9.3. Hydrogen in β-Ga2O3 -- 9.3.1. Theory -- 9.3.2. Thermal stability of deuterium in Ga2O3 -- 9.3.3. Muon spin resonance -- 9.3.4. Vibrational properties of H in Ga2O3 -- 9.3.4.1. Vibrational spectroscopy -- 9.3.4.2. Evidence for a ``hidden hydrogen´´ species -- 9.3.4.3. Theory of defect structures and their vibrational properties -- 9.3.4.4. Additional IR lines -- 9.4. Conclusion -- Acknowlegments -- References -- Chapter 10: Ohmic contacts to gallium oxide -- 10.1 Introduction -- 10.2 Ohmic contacts and contact resistance -- 10.3 Ohmic contacts to gallium oxide -- 10.4 Development of Ohmic contacts for Ga2O3 microelectronics -- 10.5 Research opportunities for Ohmic contacts to Ga2O3 -- Acknowledgment -- References -- Chapter 11: Schottky contacts to β-Ga2O3 -- Chapter Outline -- 11.1. Introduction. 11.2. Physics of Schottky contacts and SBH measurements -- 11.2.1. Physics of Schottky contacts -- 11.2.2. Shottky Barrier Height measurements -- 11.2.2.1. phiB calculation from I-V measurements -- 11.2.2.2. phiB calculation from I-V-T measurements (Richardson plot) -- 11.2.2.3. phiB calculation from C-V measurements -- 11.2.2.4. phiB calculation from IPE measurements -- 11.3. Properties of Ga2O3 for SBDs -- 11.4. Schottky contacts on β-Ga2O3: Materials and processing -- 11.5. Defects relevant to β-Ga2O3 Schottky contacts -- 11.5.1. Point defects and impurities -- 11.5.2. Extended crystallographic defects -- 11.5.3. Defect states in the band gap -- 11.6. Nonideal and inhomogeneous Schottky barriers -- 11.7. β-Ga2O3 Schottky devices -- 11.7.1. SBDs as rectifiers -- 11.7.2. Metal-semiconductor field-effect transistors -- 11.8. Summary -- Acknowledgments -- References -- Chapter 12: Dry etching of Ga2O3 -- 12.1. Introduction -- 12.2. Dry etching -- 12.2.1. Mechanisms of dry etching -- 12.3. Dry etching techniques -- 12.4. Etch results for Ga2O3 -- 12.4.1. Etch rates -- 12.4.2. Damage induced by dry etching -- 12.5. Summary -- Acknowledgments -- References -- Chapter 13: Band alignments of dielectrics on (-201) β-Ga2O3 -- 13.1. Introduction -- 13.2. Methods -- 13.2.1. Determination of bandgap -- 13.2.2. Determination of band offset -- 13.3. Band offsets -- 13.3.1. Aluminum oxide -- 13.3.2. Lanthanum aluminate -- 13.3.3. SiO2 and HfSiO4 -- 13.3.4. Indium tin oxide -- 13.3.5. Aluminum zinc oxide (AZO) -- 13.4. Conclusion -- References -- Chapter 14: Radiation damage in Ga2O3 -- 14.1. Introduction -- 14.2. Radiation damage in wide bandgap semiconductors -- 14.3. Properties of Ga2O3 -- 14.4. Radiation damage effects in Ga2O3 -- 14.5. Summary and conclusion -- Acknowledgments -- References -- Part Three: Applications -- Chapter 15: Ga2O3 nanobelt devices. 15.1. Introduction -- 15.1.1. Bottom-up methods -- 15.1.2. Top-down methods -- 15.2. β-Ga2O3-based optoelectronic nanodevice -- 15.2.1. Introduction of β-Ga2O3-based optoelectronic nanodevice -- 15.2.2. Development of β-Ga2O3-based photodetectors -- 15.2.2.1. Photoconductive detectors -- 15.2.2.2. Metal-semiconductor-metal (MSM) structure -- 15.2.2.3. Photovoltaic structure -- 15.3. β-Ga2O3-based nanoelectronic devices -- 15.3.1. Introduction of β-Ga2O3 nanobelt-based transistors -- 15.3.2. Development of β-Ga2O3 nanobelt-based transistors -- 15.3.2.1. Back-gated FETs -- 15.3.2.2. Top-gated FETs -- 15.3.2.3. Heterostructure MISFETs -- 15.4. Summary -- References -- Chapter 16: Advances in Ga2O3 solar-blind UV photodetectors -- 16.1. Introduction -- 16.1.1. The UV spectrum -- 16.1.2. Applications: UV spectrum -- 16.1.3. Ga2O3-Background -- 16.2. Figures of merit for photodetectors -- 16.2.1. Quantum efficiency and spectral responsivity -- 16.2.2. Bandwidth, rise/fall times, and persistent photoconductivity -- 16.2.3. Noise equivalent power and specific detectivity -- 16.2.4. UV-to-visible rejection ratio -- 16.2.5. Linearity -- 16.3. β-Ga2O3 UV photodetectors: Types, operational principles, and status -- 16.3.1. Metal-semiconductor-metal photodetectors -- 16.3.2. Schottky photodetectors -- 16.4. Gain mechanism and barrier height calculation -- 16.5. Comparison with AlGaN deep-UV photodetectors -- 16.6. Design consideration, possible geometries, and arrays of detectors for deep UV detection -- 16.7. Summary, conclusion/future work -- References -- Chapter 17: Power MOSFETs and diodes -- 17.1. Introduction -- 17.2. Properties -- 17.3. Schottky diodes -- 17.4. Power MOSFETs -- 17.5. Application space and competing technologies -- 17.6. Future -- References -- Chapter 18: Ga2O3-photoassisted decomposition of insecticides -- 18.1. Introduction. 18.2. Photochemical and photocatalytic degradation reactions. EBL201812 Engineering SzGeCERN EBL Gallium compounds BOOK Mastro, Michael Ren, Fan https://cds.cern.ch/auth.py?r=EBLIB_P_5558187 ebook n 201850 201812 21 PUBLIC https://catalogue.library.cern/legacy/2651750 BOOK MIGRATED 2651740 SzGeCERN 20210421203751.0 9781119549581 9781786303615 oai:cds.cern.ch:2651740 cerncds:BOOK SAFARI 9781786303615 eng HB72 .C435 2018 004.678 Saleh, Imad Challenges of the Internet of Things technique, use, ethics Newark, NJ John Wiley & Sons 2018 279 p ebook Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Introduction -- 1. Internet of Things (IoT): Concepts, Issues, Challenges and Perspectives -- 1.1. Introduction -- 1.2. The connected object (CO) -- 1.3. Internet of Things: definition -- 1.3.1. Applications -- 1.4. Steps and technologies in the IoT ecosystem -- 1.4.1. IoT architecture -- 1.5. From the IoT to the Internet of Everything (IoE) -- 1.6. IoT and Big Data -- 1.7. Cloud computing applied to Big Data and the IoT -- 1.8. Data science and the IoT -- 1.9. Stakes and challenges of the IoT -- 1.9.1. Technological challenges -- 1.9.2. Societal challenges -- 1.9.3. Environmental challenges -- 1.9.4. Confidence in the IoT -- 1.9.5. Challenges for businesses -- 1.9.6. Challenges for researchers -- 1.10. Opportunities and threats in the IoT ecosystem -- 1.11. IoT security -- 1.12. Blockchain and the IoT -- 1.12.1. Definition -- 1.12.2. Operation -- 1.12.3. Applications -- 1.13. Conclusion -- 1.14. References -- 2. Deep Learning Approach of Raw Human Activity Data -- 2.1. Introduction -- 2.2. State of the art -- 2.3. Experimental configuration -- 2.4. Analysis of the activity -- 2.4.1. Neural network architecture -- 2.5. Results -- 2.6. Discussion -- 2.7. Conclusion -- 2.8. References -- 3. Study and Development of a Smart Cup for Monitoring Post-stroke Patients' Activities at Home -- 3.1. Introduction -- 3.2. Related work -- 3.2.1. Upper limbs motor assessment tools -- 3.2.2. New platforms for stroke assessment -- 3.2.3. Activity analysis and monitoring -- 3.2.4. Tasks and rehabilitation exercises for strokes -- 3.3. Design concept -- 3.3.1. Task identification -- 3.3.2. Monitored information -- 3.3.3. Sensory feedback -- 3.4. Implementation of the prototype -- 3.4.1. Grasping force detection -- 3.4.2. Liquid level detection -- 3.4.3. Orientation detection. 3.4.4. Relative position detection -- 3.5. Data processing -- 3.5.1. Orientation calculation -- 3.5.2. Tremor detection -- 3.5.3. Activity recognition -- 3.6. Planned studies -- 3.6.1. Studies with therapists -- 3.6.2. Studies with patients -- 3.7. Conclusion and perspectives -- 3.8. References -- 4. Enabling Fast-prototyping of Connected Things using the WiNo* Family -- 4.1. Introduction -- 4.2. Context -- 4.3. State of the art -- 4.4. Introducing the WiNo* family -- 4.4.1. WiNoRF22 and TeensyWiNo -- 4.4.2. WiNoLoRa -- 4.4.3. DecaWiNo -- 4.4.4. Summary of WiNo nodes -- 4.5. Results and examples of use -- 4.5.1. WiNo and TeensyWiNo -- 4.5.2. WiNoLoRa -- 4.5.3. DecaWiNo -- 4.5.4. Summary and comparative analysis -- 4.6. Conclusion and outlook -- 4.7. Acknowledgments -- 4.8. References -- 5. Multi-standard Receiver for Medical IoT Sensor Networks -- 5.1. Introduction -- 5.2. General context -- 5.2.1. OFDM -- 5.2.2. Characteristics of IEEE 802.11a/b/g/n/ac standards -- 5.3. The IEEE 802.15.6 standard -- 5.3.1. The WBAN frame -- 5.3.2. Specificities of the WBAN physical layer -- 5.4. Physical layer design -- 5.4.1. Frame synchronization -- 5.4.2. Frequency synchronization -- 5.4.3. Time synchronization -- 5.5. Simulation results -- 5.6. Conclusion -- 5.7. References -- 6. Ambient Atoms: a Device for Ambient Information Visualization -- 6.1. Introduction -- 6.2. Previous research -- 6.2.1. Dedicated ambient displays that do not integrate a display screen -- 6.2.2. Generic ambient displays that do not include a display screen -- 6.3. Ambient Atoms: user's point of view -- 6.4. Ambient Atoms: hardware and software components -- 6.4.1. Hardware: microcontroller -- 6.4.2. Hardware: LEDs -- 6.4.3. Software -- 6.5. Ambient Atoms: prototype applied to the housing information visualization -- 6.6. Future research and conclusion -- 6.7. Acknowledgments. 6.8. References -- 7. New Robust Protocol for IoV Communications -- 7.1. Introduction -- 7.2. Latest developments -- 7.2.1. Architecture of the IoV -- 7.2.2. Communication obstacles -- 7.2.3. Related work -- 7.3. Multi-criterion routing protocol -- 7.3.1. Applications and services -- 7.3.2. Multi-criterion routing protocols in IoV communications -- 7.4. Conclusion and perspectives -- 7.5. References -- 8. Interconnected Virtual Space and Theater: A Research-Creation Project on Theatrical Performance Space in the Network Era -- 8.1. Introduction -- 8.2. A multidisciplinary experiment involving live performance and digital art -- 8.2.1. Defining avatar and mocaptor -- 8.2.2. System description -- 8.2.3. From Kinect to Perception Neuron: a new mobility -- 8.3. Acting relationship between the mocaptor and the avatar -- 8.3.1. Controlling the avatar's spatial disposition -- 8.3.2. The mocaptor's reference space: the Ninja Theory example -- 8.3.3. A closer look at the articulation of the reference spaces -- 8.3.4. Mobility of the mocaptor in their performance space -- 8.4. From mocaptor to avatar from a technical perspective -- 8.4.1. Two-stage motion retargeting -- 8.4.2. Avatar movement: combination of multiple sources -- 8.4.3. Combination with independent behavior: pathfinding -- 8.4.4. An architecture oriented toward interconnected objects -- 8.5. A practical application that raises new questions -- 8.5.1. New experimentation spaces for actors, directors and digital artists -- 8.5.2. The problem of visual composition for augmented scenes -- 8.5.3. Redefining the role of the digital artist -- 8.6. Conclusion -- 8.7. References -- 9. Mobile Telephones and Mobile Health: a Societal Question Under Debate in the Public Domain -- 9.1. Introduction. 9.2. An interdisciplinary activity sector and field of research: between connected health and connected well-being -- 9.3. "Boundary objects", socioeconomic strategies and innovative forms of sociotechnical mediation in equipped mobility -- 9.4. Mobile health-care service access systems: toward intermediation or disintermediation? -- 9.5. Forms of regulation of mobile health-care access: a legal, technical and sociopolitical issue under debate -- 9.6. Conclusion and new avenues of research -- 9.7. References -- 10. Modeling Power to Act for an Ethics of the Internet of Things -- 10.1. Introduction -- 10.2. Principles of ethical modeling -- 10.2.1. Theoretical principles -- 10.2.2. Graphic principles -- 10.3. Calculating the complexity of an ecosystem -- 10.3.1. Existential complexity -- 10.3.2. Comparing the complexity of points of view -- 10.4. Automatic ecosystem enrichment -- 10.4.1. Constitution of raw data corpus -- 10.4.2. Transformation of raw data -- 10.5. Conclusion -- 10.6. References -- List of Authors -- Index -- Other titles from iSTE in Information Systems, Web and Pervasive Computing -- EULA. SAF202009 EBLlink deleted Computing and Computers SzGeCERN BOOK Ammi, Mehdi Szoniecky, Samuel https://learning.oreilly.com/library/view/-/9781786303615/?ar ebook n 201850 201812 21 PUBLIC https://catalogue.library.cern/legacy/2651740 BOOK MIGRATED 2651735 SzGeCERN 20210421203752.0 9781119549673 electronic version electronic version 9781786303066 electronic version electronic version 9781786303066 print version oai:cds.cern.ch:2651735 cerncds:BOOK EBL 5553529 eng QA76.9.M65 .B473 2018 174.90904 Beranger, Jerome The algorithmic code of ethics ethics at bedside of digital revolution Newark, NJ John Wiley & Sons 2018 285 p ebook Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Foreword -- Acknowledgments -- Introduction -- I.1. Preamble -- I.2. Technical revolutions through time -- I.3. Emergence and multiform omnipresence of NICTs in society -- I.3.1. Big data -- I.3.2. The Internet of Things -- I.3.3. Algorithms -- I.3.4. Blockchain -- I.3.5. NBIC -- I.3.6. Artificial Intelligence (AI) -- I.3.7. Quantum computing -- 1. Ethics at the Service of Digital Technology -- 1.1. Towards a new paradigm of the digital society -- 1.2. Questions regarding the algorithmic universe -- 1.3. Ethics as a digital compass -- 1.4. Ethical challenges and risks regarding algorithmic processing -- 1.5. The environmental parameters of digital technology -- 1.6. What is the place of mankind in this digital society? -- 2. The Code is Ethics and Ethics is the Code -- 2.1. Nature, the creator of codes, programming and algorithms -- 2.2. Algorithmic Darwinism -- 2.3. The evolutionary digital world -- 2.4. Environmental ethics -- 2.5. Algorithmic ethics -- 2.5.1. The symbiotic bridge between algorithms and ethics -- 2.5.2. Trust at the heart of a new ethics -- 2.5.3. The "blockchainization" of ethics -- 2.6. The codification of ethics via a process of networks of neurons -- 2.7. The complexity around an ethical AI -- 2.8. The Neo-Platonist ethical systemic platform ( Ψ,G, ɸ) -- 2.9. The systemic analysis approach centered on the individual in a digital ecosystem -- 2.10. Toward quantum ethics? -- 3. The Framework for Algorithmic Processing -- 3.1. Characteristics of NICT essential for their use -- 3.1.1. Adaptability -- 3.1.2. Availability -- 3.1.3. Robustness -- 3.1.4. Auditability -- 3.1.5. IT integration -- 3.1.6. Consolidation -- 3.1.7. Diffusion -- 3.1.8. Co-ordination -- 3.1.9. Interoperability -- 3.2. Scenarios for the digital economy. 3.2.1. Scenario 1: the generalization and commercialization of algorithms combined with Platform as a Service (PaaS) tools -- 3.2.2. Scenario 2: organization into silos independent of data producers and algorithmic processing specialists -- 3.2.3. Scenario 3: domination of AI leaders via proprietary algorithms with unparalleled performances -- 3.3. An algorithm's ethical rules -- 3.4. Ethical evaluation of algorithmic processing -- 3.4.1. Evaluation of data and practices -- 3.4.2. Evaluating the algorithm and its practices -- 3.5. The framework surrounding algorithmic systems -- 3.5.1. Digital governance -- 3.5.2. Digital regulation -- 3.5.3. Digital confidence -- 3.5.4. Algorithmic responsibility -- 3.6. Ethical management and direction framing algorithmic systems -- Conclusion -- Appendix -- A.1. Criteria for evaluating the quality of a source code -- A.2. CERNA's recommendations on machine learning -- A.3. The ADEL's objectives and contributions -- A.3.1. Providing an ethical framework for automated information systems (IS) to guarantee meaning, confidence and security for society -- A.3.2. Accompanying the evolution of IS and associated processing on an ethical level -- A.3.3. Provide ethical evaluation tools (ratings) to serve businesses -- A.3.4. Evolving a universal ethical requirement into a practical and concrete ethics -- A.3.5. Providing ethical recommendations and specifications -- A.3.6. Towards an algorithmic ethics -- List of Abbreviations -- References -- Index -- Other titles from iSTE in Science, Society and New Technologies -- EULA. EBL201812 Computing and Computers SzGeCERN EBL Electronic data processing-Moral and ethical aspects BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5553529 ebook n 201850 201812 21 PUBLIC https://catalogue.library.cern/legacy/2651735 BOOK MIGRATED 2651733 SzGeCERN 20200902225548.0 9781119557029 electronic version electronic version 9781786300874 electronic version electronic version 9781786300874 print version oai:cds.cern.ch:2651733 cerncds:BOOK EBL 5553519 eng HE7581 .C377 2018 025.04 Carré, Dominique Hyperconnectivity economical, social and environmental challenges Somerset John Wiley & Sons 2018 188 p Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Introduction -- 1. The Technological Offer and Globalized Services -- 1.1. Importance of the open communication protocol -- 1.2. Mediation and industrialization of connection -- 1.3. Monopolies and dominance -- 2. The Hyperconnected Economy -- 2.1. A free mode of access and use -- 2.2. Two indirect funding methods: advertising and data marketing -- 2.2.1. Advertising revenues -- 2.2.2. Data production and sales -- 2.3. An activation method: solicitation -- 2.4. The government's involvement -- 3. Social Appropriation and Digital Culture -- 3.1. Ambivalence of uses -- 3.2. Industrialization of the uses of interactivity: territories of hyperconnectivity -- 3.3. Uses of interactivity -- 4. Renunciation and Negotiations -- 4.1. Uses at the foundation of renunciation and negotiations -- 4.2. Negotiated renunciation -- 5. Environmental Issues -- 5.1. Absence of environmental dimension -- 5.2. Materiality of the immaterial -- 5.3. Energy consumption and greenhouse gas production -- 5.4. Impacts of software and website design -- 5.5. Injunctive, ecological and programmed obsolescence -- 5.5.1. Planned obsolescence -- 5.5.2. Injunctive obsolescence -- 5.5.3. Ecological obsolescence -- Conclusion -- References -- Index -- Other titles from iSTE in Information Systems, Web and Pervasive Computing -- EULA. Vidal, Geneviève https://cds.cern.ch/auth.py?r=EBLIB_P_5553519 ebook ebook EBL201812 Information Tranfer and Management SzGeCERN BOOK n 201850 201812 21 PUBLIC BOOK DELETED 2651719 SzGeCERN 20190812235037.0 9781498764766 electronic version electronic version 9781498764766 print version 9781498764773 electronic version electronic version oai:cds.cern.ch:2651719 cerncds:BOOK EBL 5548541 eng RC87.9 .N66 2019 614.8 Elliott, Mark Non-invasive ventilation and weaning principles and practice, second edition 2nd ed. Milton Chapman and Hall/CRC 2017 748 p Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Contributors -- Chapter 1: Non-invasive ventilation: From the past to the present -- History -- The Present Time -- Acute settings -- Home setting -- Conclusion -- References -- Section 1 : The equipment -- Chapter 2: Positive pressure ventilators -- Introduction -- Circuits and ventilators -- Circuits -- Bi-level ventilators -- Intermediate ventilators -- Critical care ventilators -- Rebreathing -- Leak -- Trigger -- Tidal volume -- Cycle -- Oxygen delivery -- Modes -- Continuous positive airway pressure -- Pressure support ventilation -- Pressure-controlled ventilation -- Proportional assist ventilation -- Neurally adjusted ventilatory assistance -- Volume-controlled ventilation -- Adaptive pressure support -- Ventilator options to improve tolerance -- Rise time -- Expiratory pressure release -- Ramp -- Patient-ventilator synchrony -- Safety -- Alarms and monitoring -- Battery power -- Summary -- References -- Chapter 3: Continuous positive airway pressure -- Introduction -- History of CPAP -- Physiology -- Respiratory system -- Circulatory system -- Types of CPAP -- Indications and contraindications -- CPAP equipment -- Acceptance and tolerance -- CPAP outside the hospital setting -- Summary -- References -- Chapter 4: Emerging modes for non-invasive ventilation -- Introduction -- New Features of PSV -- Proportional Assist Ventilation -- Neurally Adjusted Ventilatory Assistance -- VAPS Modes -- References -- Chapter 5: Extracorporeal CO2 removal -- Introduction -- Carbon dioxide removal technology: principles and circuitry -- Membrane 'lung' -- Pump -- Catheters -- ECCO2R in patients with ARDS -- ECCO2R in patients with COPD -- Other applications -- Future Research -- Conclusion -- References -- Chapter 6: Interfaces -- Introduction. Characteristics, advantages and disadvantages of the various NIV interfaces -- Physiological aspects -- Air leaks -- Dead space and carbon dioxide rebreathing -- Oral Interfaces -- Nasal masks and pillows -- Oronasal and full-face masks -- Helmets -- Paediatric Interfaces -- Conclusions -- References -- Chapter 7: Quality control of non-invasive ventilation: Performance, service, maintenance and infection control of ventilators -- Introduction -- Characteristics and Performance of Mechanical Ventilators -- Service and Maintenance of HMV -- Infection Control -- Quality Control Procedures -- Conclusions -- References -- Chapter 8: Humidifiers and drug delivery during non-invasive ventilation -- Effects of An Inadequate AH -- Increase of Nasal Airway Resistance -- Anatomy and Function of Nasal Mucosa -- Functional Level in the Ventilatory Parameters -- Intolerance, Discomfort, Low Compliance and Reduced Adherence in NIV -- Technical considerations -- Hygrometric values in NIV -- Interface -- Models of NIV ventilators -- Active (HHW) vs. Passive (HMEF) -- Conclusions -- Aerosol therapy in NIV -- Factors depending on the patient -- Characteristic factors of the NIV technique -- Interface, Leaks, Generator Position -- Ventilatory Mode -- CPAP Mode -- BiPAP Mode -- Type of device, level of positive pressure and drug dose -- Airway Flow -- Two factors derived from aerosol therapy technique -- Type of generator: Nebuliser vs. MDI -- Position of generator -- Type of drug and dose -- Effects of aerosolised bronchodilators during NIV -- COPD-NIV -- Asthma-NIV -- Conclusions -- Abbreviations -- References -- Chapter 9: How to start a patient on non-invasive ventilation -- Introduction -- Acute respiratory failure -- Personnel -- Location -- Selection of patients -- Equipment -- Interfaces -- Ventilators -- Practical issues -- Chronic respiratory failure. Education -- Timing -- Location -- Equipment -- Interface -- Ventilator -- Practical issues -- Chapter summary -- References -- Section 2 : The practice - acute NIV -- Chapter 10: How to set up an acute non-invasive ventilation service -- Introduction -- Why a NIV service? -- A multidisciplinary team -- The location for NIV -- Emergency ward -- General ward -- Respiratory intermediate care unit -- Intensive care unit -- Monitoring -- Set-Up and equipment -- Training -- Quality management -- Instituting change -- 'Selling your service': Needs assessment and hospital buy-in -- Problems and obstacles -- Use of protocols -- Conclusions -- References -- Chapter 11: Education programmes/assessment of staff competencies -- Introduction -- Developing outcomes for learning -- Designing a curriculum for learning in NIV -- Assessing competence in NIV -- Simulation-based education for NIV -- Interprofessional education -- References -- Chapter 12: Monitoring during acute non-invasive ventilation -- Introduction -- Clinical Evaluation -- Patient comfort -- Work of breathing -- Evaluation of mental and neurological status -- Conventional vital signs -- Gas exchange -- Monitoring of leaks -- Monitoring tidal Volume -- Monitoring patient-ventilator asynchrony -- Identifying patient-ventilator asynchrony during the triggering phase -- Auto-Triggering -- Excessive Triggering Delay and Ineffective Effort -- Identifying patient-ventilator asynchrony during the pressure delivery phases -- Identifying patient-ventilator asynchrony during the cycling-off phase (expiratory asynchrony) -- Premature Opening of the Exhalation Valve -- Delayed Opening of The Exhalation Valve -- Sleep evaluation -- Monitoring of Complications -- Conclusions -- References -- Chapter 13: Troubleshooting non-invasive ventilation -- Introduction -- Predictors of NIV failure (see also Chapter 17). Reasons for NIV failure -- Environmental/caregiver team factors in NIV failure -- Selection of appropriate patients for NIV -- Proper monitoring of NIV -- Patient-related factors contributing to NIV failure -- Intolerance of NIV -- Mask discomfort -- Other mask-related problems -- Claustrophobia -- Intolerance of ventilator settings -- Agitation -- Excessive secretions -- Progression of the underlying process -- Technical factors contributing to NIV failure -- Proper equipment for NIV -- Failure to ventilate -- Failure to oxygenate -- Patient-ventilator asynchrony -- Air leaks -- Summary and conclusions -- References -- Chapter 14: Sedation and delirium -- Introduction -- NIV and sedation in real life -- Rationale for using sedation during NIV -- Choosing the right drug for the right patient -- Analgesic agents -- Morphine -- Remifentanil -- Drugs for sedation -- Dexmedetomidine -- Propofol -- Benzodiazepine -- Delirium -- Conclusions -- References -- Chapter 15: Timing of non-invasive ventilation -- Introduction -- NIV to Prevent Acute Respiratory Failure -- Exacerbation of chronic obstructive pulmonary disease and hypercapnic respiratory failure -- Cardiogenic pulmonary oedema -- De novo hypoxic respiratory failure -- NIV to avert the need for endotracheal intubation and reintubation -- COPD exacerbation and hypercapnic respiratory failure -- Cardiogenic pulmonary oedema -- De novo hypoxic respiratory failure -- NIV as An Alternative to Invasive Ventilation -- Exacerbations of COPD -- Cardiogenic pulmonary oedema -- De novo hypoxic respiratory failure -- NIV to Prevent Extubation Failure in Those Patients Previously Intubated -- NIV to Treat Established Post-Extubation Respiratory Failure or Distress -- NIV to facilitate the process of weaning from invasive ventilation -- Conclusions -- References. Chapter 16: Why non-invasive ventilation works in acute respiratory failure? -- Introduction -- Severe COPD exacerbation -- Discontinuation of invasive mechanical ventilation -- Pathophysiology of weaning failure (Table 16.1) -- Effects of NIV during unsuccessful weaning (Table 16.2) -- Acute cardiac failure -- Acute hypoxaemic respiratory failure -- High-flow nasal cannula oxygenation -- Conclusion -- References -- Chapter 17: Predicting outcome in patients with acute hypercapnic respiratory failure -- Introduction -- Current practice -- How good are clinicians at predicting outcome? -- Base mortality rate of the presenting condition -- COPD -- Steady-state variables -- Severity and timing of respiratory acidaemia -- Investigations -- Observations -- Predictive tools -- Post initiation -- Other conditions -- Obesity hypoventilation syndrome -- Neuromuscular disease -- Asthma -- Pneumonia -- IPF -- Pulmonary oedema -- Conclusions and suggested approach -- References -- Chapter 18: Use of NIV in the real world -- Introduction -- Insights from surveys -- Observations using large databases -- NIV for COPD exacerbations -- NIV for asthma exacerbations -- NIV for pneumonia -- NIV for post-operative use -- Conclusions -- References -- Section 3 : The practice - chronic NIV -- Chapter 19: Chronic ventilation service -- Introduction -- CVS in the hospital -- Organisation -- Dedicated staff -- Staff training (see also Chapter 11) -- Equipment -- Ventilators -- Interfaces (see Chapter 6) -- Monitoring -- CVS in the community -- Definition and goals -- Transition to home (see also Chapters 22 and 23) -- Continuum of the in-hospital education program for the patient and their family -- Social considerations -- Home care setting -- RHCSs: Obligations, organisation and costs -- Obligations -- Organisation -- Costs of home care. Monitoring the patient treated by HMV (Table 19.2). Nava, Stefano Schönhofer, Bernd https://cds.cern.ch/auth.py?r=EBLIB_P_5548541 ebook ebook EBL201812 Health Physics and Radiation Effects SzGeCERN BOOK n 201850 201812 21 PUBLIC BOOK DELETED 2651710 SzGeCERN 20200503232009.0 9781138197305 electronic version electronic version 9781138197305 print version 9781315280240 electronic version electronic version oai:cds.cern.ch:2651710 cerncds:BOOK EBL 5541096 eng QA929.5 .T969 2019 532/.05 Tyowua, Andrew T Liquid marbles formation, characterization, and applications Milton Chapman and Hall/CRC 2018 177 p Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Foreword -- Preface -- Acknowledgments -- About the Author -- Base Units, Derived Units, Prefixes, and Conversions -- Chapter 1: Interfaces and the Concept of Surface Tension -- 1.1 Definition and Types of Interfaces -- 1.2 Surface Tension and Curved Interfaces -- 1.2.1 Surface Tension -- 1.2.2 Capillarity and Wicking -- 1.2.3 Bubbles and Drops -- 1.2.4 The Kelvin Equation -- 1.3 Measurement of Surface Tension -- 1.3.1 Direct Measurement Using a Microbalance -- 1.3.1.1 The Wilhelmy Plate Method -- 1.3.1.2 The du Noüy Ring Method -- 1.3.2 Measurement of Capillary Pressure: The Maximum Bubble Pressure Method -- 1.3.3 Measurement Based on the Balance between Capillary and Gravity Forces -- 1.3.3.1 The Capillary Rise Method -- 1.3.3.2 The Drop Volume or Weight Method -- 1.3.4 Analysis of Gravity Distorted Drops -- 1.3.4.1 The Pendant Drop Method -- 1.3.4.2 Sessile Drop Method -- 1.3.4.3 Spinning Drop Tensiometry and Other Methods -- 1.4 Conclusion -- Exercises -- Discussion Questions -- Question 1 -- Question 2 -- Numerical Questions -- Question 1 -- Question 2 -- Question 3 -- Question 4 -- Further Reading -- References -- Chapter 2: Nature of Solid Surfaces -- 2.1 Particle-Liquid-Air Three-Phase Contact Angle and Wetting -- 2.1.1 Measurement of Particle-Liquid-Air Contact Angles for Surfaces and Powdered Particles -- 2.1.1.1 Measurement by Telescope-Goniometer -- 2.1.1.2 Tilting Plate Method -- 2.1.1.3 Captive Bubble Method -- 2.1.1.4 The Wilhelmy Balance Method -- 2.1.1.5 Capillary Rise at Vertical Plate -- 2.1.1.6 The Capillary Tube Method -- 2.1.1.7 Method of Capillary Penetration for Powders and Granules -- 2.1.1.8 Drop Shape Analysis -- 2.1.1.9 Axisymmetric Drop Shape Analysis (ADSA) -- 2.1.2 Contact Angle Hysteresis -- 2.1.3 Wetting States. 2.1.3.1 Young Wetting State -- 2.1.3.2 Wenzel Wetting State -- 2.1.3.3 Cassie-Baxter Wetting State -- 2.1.3.4 Transition between the Wenzel and the Cassie-Baxter Wetting States -- 2.2 Interfacial Energy of Solid Surfaces -- 2.2.1 Berthelot's Geometric Mean Combining Rule and Antonow's Rule -- 2.2.2 Bangham and Razouk Model -- 2.2.3 The Zisman Approach -- 2.2.4 Good and Girifalco Approach -- 2.2.5 Fowkes and Zettlemoyer Approaches -- 2.2.6 Owens and Wendt, and Wu Approaches -- 2.2.7 Ward and Neumann Approach -- 2.2.8 van Oss-Chaudhury-Good Approach -- 2.3 Wetting and Non-wetting Surfaces and Bioinspired Non-wetting Surfaces -- 2.3.1 Wetting Surfaces -- 2.3.2 Non-wetting and Bioinspired Non-wetting Surfaces -- 2.4 Conclusion -- Exercises -- Discussion Questions -- Question 1 -- Question 2 -- Question 3 -- Question 4 -- Question 5 -- Numerical Questions -- Question 1 -- Question 2 -- Question 3 -- Further Reading -- References -- Chapter 3: Sticking and Non-sticking Drops -- 3.1 Shape of Drops -- 3.2 Sticking Drops -- 3.3 Liquid Drops as Sticking Agents -- 3.4 Non-sticking Drops -- 3.4.1 Leidenfrost Drops -- 3.4.1.1 Shape and Stability -- 3.4.1.2 The Vapor Layer: Stationary States -- 3.4.1.3 Evaporation of Leidenfrost Drops -- 3.4.1.4 Self-propelled Leidenfrost Drops: Self-propelling Force and Friction -- 3.4.1.5 Deceleration and Trapping of Leidenfrost Drops -- 3.4.2 Non-coalescing Drops -- 3.4.3 Liquid Marbles -- 3.5 Conclusion -- Exercises -- Discussion Questions -- Question 1 -- Question 2 -- Question 3 -- Numerical Questions -- Question 1 -- Question 2 -- Question 3 -- Further Reading -- References -- Chapter 4: Principles and Properties of Liquid Marbles -- 4.1 Principles of Liquid Marbles -- 4.2 Preparation of Liquid Marbles -- 4.3 Properties of Liquid Marbles -- 4.3.1 Statics of Liquid Marbles -- 4.3.2 Dynamics of Liquid Marbles. 4.3.2.1 Creeping Motions -- 4.3.2.2 Quick Motion -- 4.3.3 Effective Surface Tension of Liquid Marbles and Its Measurement -- 4.3.3.1 The Puddle Height Method -- 4.3.3.2 The Analysis of Marble Shape -- 4.3.3.3 The Vibration of Liquid Marbles -- 4.3.3.4 The Wilhelmy Plate and Capillary Rise Methods -- 4.3.3.5 The Pendant Marble Method -- 4.3.4 Electrowetting and Magnetowetting of Liquid Marbles -- 4.3.5 Evaporation and Freezing of Liquid Marbles -- 4.4 Conclusion -- Exercises -- Discussion Questions -- Question 1 -- Question 2 -- Question 3 -- Question 4 -- Numerical Questions -- Question 1 -- Question 2 -- Question 3 -- Further Reading -- References -- Chapter 5: Applications of Liquid Marbles -- 5.1 Applications of Liquid Marbles in Microfluidics -- 5.2 Applications of Liquid Marbles in the Environmental Science -- 5.3 Liquid Marbles as Micropumps -- 5.4 Liquid Marbles in Miniaturized Chemical Processes -- 5.5 Liquid Marbles as Precursors of Pickering Emulsions -- 5.6 Liquid Marbles as Microbioreactors -- 5.7 Liquid Marbles as a Means of Cultivating Microorganisms and Cells -- 5.8 Drug Screening Based on Liquid Marble Technology -- 5.9 Liquid Marbles as Precursors of Novel Materials -- 5.9.1 Dry Water and Applications -- 5.9.2 Powdered Oils and Applications -- 5.9.3 Powdered Emulsions and Applications -- 5.10 Conclusion -- Exercises -- Discussion Questions -- Question 1 -- Question 2 -- Question 3 -- Further Reading -- References -- Answers to Numerical Questions -- Index. https://cds.cern.ch/auth.py?r=EBLIB_P_5541096 ebook ebook EBL Fluid dynamics-Textbooks EBL Matter-Properties-Textbooks EBL201812 Other Fields of Physics SzGeCERN BOOK n 201850 201812 21 PUBLIC BOOK DELETED 2651667 SzGeCERN 20190321204927.0 9781536138047 electronic version 9781536135459 electronic version EBL 5488781 eng 006.3 Elek, István Emergence of intelligence New York, NY Nova Science Publishers 2018 163 p Computer science, technology and applications Intro -- EMERGENCE OF INTELLIGENCE -- EMERGENCE OF INTELLIGENCE -- Contents -- List of Figures -- List of Tables -- Preface -- Acknowledgments -- Chapter 1Introduction -- Chapter 2Evolution and Intelligence -- Chapter 3The Emergence of Life -- 1. Life on Ancient Earth -- 2. Stanley Miller's Amino Acids Synthesis -- Chapter 4Artificial Intelligence -An Overview -- 1. Definitions of Artificial Intelligence -- 1.1. Acting Humanly -- 1.2. Thinking Humanly -- 1.3. Thinking Rationally -- 1.4. Acting Rationally -- 2. Theoretical Basis of Artificial Intelligence -- 2.1. Philosophy -- 2.2. Psychology -- 2.3. Mathematics -- 2.4. Neuroscience -- 2.5. Computers -- 3. A Strange Example - the Wumpus-World -- 3.1. Environmental Properties -- 3.2. Perceptual Abilities of the Agent -- 3.3. Action Abilities of the Agent -- 3.4. Agent's Operation -- 4. Brief History of Artificial Intelligence -- 4.1. Artificial Intelligence in Practice -- Chapter 5Random Walks, Web Crawlers,Machine Learning andNeural Networks -- 1. Random Walks -- 2. Web Crawlers -- 3. Machine Learning -- 4. Neural Networks -- Chapter 6The Digital EvolutionaryMachine -- 1. Definitions of Intelligence -- 1.1. Turing-Test -- 1.2. Psychological Definitions -- 1.3. An Alternative Intelligence Definition -- 2. Theoretical Basis of Digital Evolutionary Machine -- 2.1. An Ancient Story -- 2.2. Knowledge Base -- Distance -- K and L Matrices and Their Properties -- 2.3. The Development of Knowledge Base -- Search in the Knowledge Base -- 2.4. Individuals versus Multitude -- 3. SyntheticWorlds -- 3.1. Digital Evolutionary Machines in the ArtificialWorld -- 3.2. Additional Operating Options -- 4. Competition and Cooperation -- 4.1. Regulation Factors of DEMs -- Chapter 7Initial Experiments -- 1. The ArtificialWorld Is the Internet -- 2. DEM System as the Nest of Crawlers -- 3. Experimental Results. 3.1. DemWorkers Table -- 3.2. ArtiworldNodes, ContentTypes and Events Tables -- 3.3. The Heart of the DEM System -- 3.4. Displaying and Interpretation of DEMs' Fate -- 4. Consequences -- 5. Future Areas for Research and Development -- Chapter 8Digital Evolutionary Machinesin the Wumpus-World -- 1. Short Description of theWorld -- 1.1. Discovering theWorld -- 2. Knowledge Base versus Probability -- 2.1. Abstract Concepts -- Chapter 9Conclusion and Consequences -- Chapter 10Epilogue -- References -- About the Author -- Index -- Blank Page. 9781536135459 print version oai:cds.cern.ch:2651667 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5488781 ebook ebook EBL201812 Computing and Computers SzGeCERN BOOK n 201850 201812 21 PUBLIC BOOK DELETED 2651661 SzGeCERN 20210421203800.0 9781536135060 electronic version electronic version 9781536135060 print version 9781536135077 electronic version electronic version oai:cds.cern.ch:2651661 cerncds:BOOK EBL 5446925 eng TK9152 .T758 2018 621.483350289 Janković, Marija M Tritium advances in research and applications New York, NY Nova Science Publishers 2018 297 p ebook Chemistry research and applications Intro -- Contents -- Preface -- Acknowledgments -- Chapter 1 -- Tritium Measurement with a Plastic Scintillator: An Organic Wasteless Method -- Abstract -- 1. Introduction -- 1.1. Existence of Tritium -- 1.2. Tritium Measurement Using a Liquid Scintillation Counter -- 1.2.1. Advantage of Liquid Scintillation Counting System -- 1.2.2. Disadvantages of the Liquid Scintillation Counting System -- 1.3. Tritium Measurement Method without the Generation of Organic Liquid Waste in Previous Research -- 2. The Plastic Scintillator Use Method -- 2.1. The Plastic Scintillator Sheets Method for Non-Volatile Compounds -- 2.1.1. Normal Use -- 2.1.2. The Superior Method with Surface Treatment -- 2.2. The Plastic Scintillator Pellets Method for Volatile Compounds -- 3. Counting Efficiency with Plastic Scintillators -- 3.1. Counting Efficiency Depending on Sample Volume -- 3.2. Counting Efficiency of PS Pellets with Elapsed Time -- 3.3. Effect of Types of Solution -- 4. Quantitative and Qualitative Analysis with PSS -- 4.1. Spectra with Liquid Scintillation Counter and Qualitative Analysis -- 4.2. Quantitative Analysis with Linearity -- 4.3. Detection Limit -- 5. Reusing Plastic Scintillators -- 6. The Preservation of Plastic Scintillators -- 6.1. Plastic Scintillators with an Auto-Fade-Meter -- 6.2. Natural Sunlight Irradiation -- 7. Plastic Scintillation Counter -- 8. Application: Using Plastic Scintillators -- 8.1. New Equipment for Removable Contamination Check -- 8.2. Practical Use of a Beta-Ray Spectrometer -- 8.3. A Prototype Apparatus to Measure Tritium in Expired Air -- 8.4. Easy Water-Check Device for Radiation Education -- 9. Minor Issues in Plastic Scintillator Use -- Conclusion -- References -- Chapter 2 -- Tritium in Snowpacks of Eastern Siberia -- Abstract -- Introduction -- Methods -- Results and Discussion -- Conclusion -- References. Chapter 3 -- Tritium in the Freshwater Ecosystem of the Yenisei River: Behavior, Accumulation, and Transformation -- Abstract -- Introduction -- Experimental Research -- Sampling Sites -- Samples -- Water -- Sediment Sampling and Treatment -- Zoobenthos -- Aquatic Plants -- Fish -- Sample Preparation -- Experimental Methods for Tritium Accumulation -- Methods of Studying the Transformation Process from HТО into ОBТ in the Biomass of the Plant Elodea Canadensis -- Methods of Studying the Distribution of the Residual Tritium Content in Organs of Carassius gibelio (Prussian Carp) Freshwater Ray-Finned Fish -- Methods of Studying the Accumulation and Retention of Tritium (Tritiated Water) in Larval Fish (Carassius gibelio) and Radiotoxicological Effect -- Radiation Effects -- Method of Estimating Tritium in Sediments and Biological Samples -- Method of Measuring the Tritium Activity -- Formulas for Estimating OBT in the Plant Biomas -- Formulas for Estimating Total Tritium in the Plant Biomass and Sediments -- Calculation of the Accumulation Coefficient -- Statistical Analysis -- Results and Discussion -- Tritium in the Water of the Yenisei River -- Tritium in the Sediments of the Yenisei River -- Tritium in Plants, Zoobenthos and Fish Muscle -- Accumulation and Transformation of Tritium in Aquatic Plants -- Accumulation and Transformation of Tritium in Fish -- Tritium Uptake and Distribution in Fish Organs -- Accumulation and Retention of Tritium (Tritiated Water) in Larval Fish (Carassius gibelio) and Radiotoxocological Effect -- Accumulation and Incorporation -- Conclusion -- Acknowledgments -- References -- Chapter 4 -- Methodology of Tritium Determination in Aqueous Samples by Liquid Scintillation Counting Techniques -- Abstract -- Introduction -- Liquid Scintillation Counting Methodology -- Quantulus 1220tm. Sample Preparation Techniques - Optimal Parameters Study of Different LSC Methods -- Electrolytic Enrichment -- Distillation -- Different Sample -- Method Validation -- Direct Method -- Sample Combustion -- Quench Corrections -- Conclusion -- Funding -- References -- Chapter 5 -- Tritium in Water: Hydrology and Health Implications -- Abstract -- Introduction -- Hydrological Cycle and Its Isotopic Fingerprints -- Tritium in Precipitation -- Origin of Environmental Tritium -- Global Network of Isotopes in Precipitation (GNIP) -- Characteristic Features of 3H in Precipitation -- Seasonal Effect -- Continental Effect -- 3H in Precipitation at Croatian Stations -- Tritium in Groundwater -- Analysis of Groundwater Characteristics from the Vojvodina Region, Serbia -- 3H/3He Method for Groundwater Age Determination -- Tritium in Surface Water -- Global Network of Isotopes in Rivers (GNIR) -- Tritium in the Sava and Danube Rivers -- Tritium and Health Implications -- Conclusion -- Funding -- References -- Chapter 6 -- A New Method for the Determination of Tritium Originating in Surface Waters: Symmetrical Index Application -- Abstract -- 1. Introduction -- 2. Applied Methods -- 2.1. Enrichment Parameters -- 2.2. Linear Correlation Coefficient -- 2.3. Seasonal Indices -- 2.4. Symmetrical Index (n) -- 3. Experimental -- 3.1. Sampling Sites -- 3.2. Sample Preparation using Electrolytic Enrichment -- 3.3. Calculation of the Results for Tritium Concentration -- 4. Results and Discussion -- 4.1. Tritium Concentrations in Surface Water -- 4.2. Seasonal Indices -- 4.3. Symmetrical Index -- Conclusion -- Acknowledgments -- References -- Chapter 7 -- Tritium Emissions from Nuclear Installations -- Abstract -- Introduction -- Tritium Species -- Tritium Emissions from Nuclear Installations -- Sampling and Detection of Tritium Emissions from Nuclear Installations. Future Prospects of Tritium Emissions from Nuclear Installations -- References -- About the Editor -- Index -- Blank Page. EBL201812 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5446925 ebook n 201850 201812 21 PUBLIC https://catalogue.library.cern/legacy/2651661 BOOK MIGRATED 2651641 SzGeCERN 20210421203801.0 9781536135398 electronic version electronic version 9781536135398 print version 9781536135404 electronic version electronic version oai:cds.cern.ch:2651641 cerncds:BOOK EBL 5345417 eng QC795 .I565 2018 539.2 Reeve, Tamar Ionizing radiation Hauppauge Nova Science Publishers 2018 276 p ebook Physics research and technology Intro -- Contents -- Preface -- Chapter 1 -- The Importance of Ionizing Radiations for Thermoluminescence Dosimetry -- Abstract -- 1. Introduction -- 1.1. Ionizing Radiations -- 1.2. Interaction of Radiation with Matter -- 1.2.1. Interaction of Heavy Ions with Matter -- 1.2.2. Interaction of Gamma with Matter -- 1.2.2.1. Photoelectric Effect -- 1.2.2.2. Compton Effect -- 1.2.2.3. Pair Production -- 1.2.3. Interaction of Electron with Matter -- 1.2.4. Interaction of Neutron with Matter -- 1.2.5. Interaction of Proton with Matter -- 1.3. Measurement of Ionizing Radiations -- 1.3.1. Thermoluminescence -- 1.3.2. Other Related Techniques -- 1.4. Importance of Ionizing Radiations in Thermoluminescence Dosimetry -- 1.5. Research Undertaken So Far -- 2. Thermoluminescence Dosimetry of Gamma Irradiated Materials -- 2.1. Gamma Ray Dosimeters -- 2.1.1. Commercial Dosimeters: LiF & CaSO4: Dy -- 2.1.2. K2CaMg(SO4)3: Eu Phosphor -- 2.1.3. Li2B4O7: Cu and MgB4O7:Dy Phosphors -- 3. Thermoluminescence Dosimetry of Electron Irradiated Materials -- 3.1. Electron Dosimeters -- 3.1.1. Commercial Dosimeters: LiF & CaSO4: Dy -- 3.1.2. Li2B4O7: Cu and MgB4O7:Dy Phosphors -- 3.1.3. KMgF3:Sm Phosphor -- 4. Thermoluminescence Dosimetry of Proton Irradiated Materials -- 4.1. Proton Dosimeters -- 4.1.1. Commercial Dosimeters: LiF & CaSO4: Dy -- 4.1.2. K2Ca2(SO4)3: Eu Phosphor -- 4.1.3. Li2B4O7: Cu and MgB4O7:Dy Phosphors -- 5. Thermoluminescence Dosimetry of Heavy Ion Irradiated Materials -- 5.1. Heavy Ion Beam Dosimeters -- 5.1.1. Commercial LiF & CaSO4:Dy Dosimeters -- 5.1.2. K2Ca2(SO4)3: Eu Phosphor -- 5.1.3. Mg2BO3F:Dy Phosphors -- 6. Thermoluminescence Dosimetry of Neutron Irradiated Materials -- 6.1. Neutron Dosimetry Materials -- 6.1.1. CR-39 as Neutron Dosimeter -- 6.1.2. MgB4O7: Ce, Li Phosphor -- 6.1.3. CaSO4 Microphosphor -- Conclusion -- Acknowledgments. References -- Biographical Sketches -- Chapter 2 -- Synergistic Applications of Ionizing Radiation, Radiation-Induced Changes in Pre-Packaged Foods and Electronic Sensing-Based Discrimination of Irradiated Foods -- Abstract -- Introduction -- Effects of Irradiation Combined with Near-Infrared, Ultra-Violet, Mild Temperature, and Thermal Treatments -- Combination of Irradiation with High-Pressure Processing -- Irradiation Coupled with Antimicrobial Formulations -- Application of Irradiation with Edible Coating -- Radiation-Induced Changes in Pre-Packaged Foods, Effects on Barrier Properties of the Packaging Material, Technical Challenges, and Safety Issues -- Effects of Gamma Irradiation on Packaging Materials -- Effects of E-beam and Pulsed X-Rays Irradiation on Packaging Materials and Their Barrier Properties -- Technical Challenges and Consumer Safety Issues -- Application of Electronic Sensing Techniques to Discriminate Irradiated Foods -- References -- Chapter 3 -- Genetic Instability of Haploid and Diploid Cells Surviving after Exposure to UV Light, Gamma-Rays and Αlpha-Particles -- Abstract -- Introduction -- Material and Methods -- Strains and Cultivation Condition -- Irradiation with Ionizing Radiations and UV Light -- Survival and Genetic Instability Assays -- Results -- Discussion -- References -- Biographical Sketch -- Chapter 4 -- Ionizing Radiation Damage in Ga2O3 and GaN Wide Bandgap Semiconductors -- Abstract -- 1. Introduction -- 2. Radiation Damage in Ga2O3 -- 2.1. Radiation Damage in GaN -- Summary -- Acknowledgments -- References -- Chapter 5 -- Co-Mutagenesis in Irradiated Human Cells -- Abstract -- Conclusion -- References -- Chapter 6 -- Water Molecules as Quantum Mechanical Sensors and Primary Messengers for Non-Ionizing Radiation Effects on Cells -- Abstract -- Introduction. Quantum-Mechanical Sensitivity of Water Physicochemical Properties -- The Effect of ELF EMF on Physicochemical Properties of Water Depending on the Environmental Medium -- Water Uptake by Cell and Its Sensitivity to EMF -- Metabolic Generation of Water Efflux from the Cells and Its EMF Sensitivity -- The Role of Cyclic Nucleotides-Dependent Na+/Ca2+ Exchange and Its EMF Sensitivity -- Acknowledgments -- Declaration of Interest -- References -- Biographical Sketch -- Chapter 7 -- Radioprotective Properties of Astaxanthin: The Impact on Radiation Induced Chromosomal Aberrations and DNA Breaks in Human Lymphocytes In Vitro -- Abstract -- Introduction -- Material and Methods -- Blood Collection -- Cultivation of Human Lymphocytes and Preparation of Chromosome Slides -- Chromosome Analysis -- Single-Cell Gel Electrophoresis (Comet Assay) -- Statistical Analysis -- Results -- The Influence of Astaxanthin on Spontaneous and γ -Radiation Induced Chromosomal Aberrations -- The Influence of Astaxanthin on Relative Level of DNA Damages in Human Lymphocytes -- Discussion -- Conclusion -- References -- Biographical Sketch -- An Overview of in Silico Methods for -- Index -- Blank Page. EBL201812 SzGeCERN Health Physics and Radiation Effects EBL Ionizing radiation BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5345417 ebook 201812 n 201850 21 PUBLIC https://catalogue.library.cern/legacy/2651641 BOOK MIGRATED 2651631 SzGeCERN 20210421203803.0 9781536134001 electronic version electronic version 9781536134001 print version 9781536134018 electronic version electronic version oai:cds.cern.ch:2651631 cerncds:BOOK EBL 5345338 eng TK5105.8857 .Y373 2018 004.678 Yarali, Abdulrahman IoT Hauppauge Nova Science Publishers 2018 340 p ebook Computer science, technology and applications Intro -- Contents -- Preface -- Acknowledgment -- Chapter 1 -- The Internet of Things (IoT): An Introduction -- Introduction -- Basics Concept of IoT -- Features of IoT -- Technical Considerations of IoT -- Scalability -- Interoperability -- Data Volume -- Power Supply -- Fault-Tolerance -- Security and Personal Privacy -- Device Adaptation -- Discovery -- Architecture Patterns -- Three-Tier Architecture -- Gateway-Mediated Edge Connectivity and Management -- Edge-to-Cloud -- Multi-Tier Data Storage -- Distributed Analytics -- Lambda Architecture -- Discovering the Potential and Justifying Going IoT -- Joining Forces -- Interoperability -- Regulations and Security in IoT -- Major Advancements and Future Prospects in IoT -- Advantages of IoT -- Safety and Sustainability -- Urban Efficiency -- Important Factor in IoT -- Ethics, Security, and Privacy -- Return on Investment -- Policies and Regulations -- Recommendations -- Areas of Future Research -- Conclusion -- References -- Chapter 2 -- Technical and Physical Aspects of IoT -- Introduction -- Device-to-Device (D2D) -- Device-to-Cloud (D2C) -- Device-to-Gateway (D2G) -- Back-End Data- Sharing (BEDS) -- IOT: Challenges and Issues -- Interoperability -- Security and Privacy -- Technologies and Performances -- Protocols Comparison -- NB-LTE-M -- LTE-M -- NB-IoT -- 802.15 -- 802.15.1 -- 802.15.4 -- Firmware Over-the-Air (FOTA) -- Physical Environment -- Possible Future IoT Innovations -- Drones -- Robotics -- Artificial Intelligence -- Augmented Reality/Virtual Reality -- Recommendations -- Discussions -- References -- Chapter 3 -- The Internet of Things (IoT) and Its Important Roles in Reshaping the Environment -- Introduction -- Environmental Impacts of IoT -- Technological Environment -- Physical Environment -- Socio-Economic Environment -- Business Environment -- Animal Tracking. Energy Management -- Waste Management -- Water Management -- Device Management -- Industrial Applications Based on IoT -- Automotive -- Energy -- Healthcare -- Decreased Costs -- Smart Manufacturing -- Integration of Data from Multiple Sources -- Device Diversity and Interoperability -- Flexibility and Evolution of Applications -- Scale, Data Volume, and Performance -- Mobile -- Cloud Centric Internet of Things -- Open Challenges and Future Directions -- Energy Efficient Sensing -- Secure Reprogrammable Networks and Privacy -- Quality of Service -- New Protocols -- Participatory Sensing -- Data Mining -- GIS-Based Visualization -- Cloud Computing -- International Activities -- Drones for Deforestation -- Benefits of IoT -- Reduce Pollution and Increase Sustainability -- Improve Food Security -- Understanding the Environmental Impacts on Health and Safety -- Helping Ways of IoT in Environment -- Environmental Sensors -- Smart Farming -- Global-Scaled Internet of Things -- Practical System in Collaboration with IoT -- Energy Efficiency -- Energy Requirements -- Future Perspective of IoT -- Integrated Future IoT Systems -- Data Processing -- Conclusion -- References -- Chapter 4 -- The Internet of Things: Technological, Physical, Business and Socio-Economic Environments -- Introduction -- Technological Environment in IoT/IoE -- Distributed Systems Technology -- Computing, Identification and Communication in IoT Technologies -- Device Management -- Sensor Data Acquisition in Management -- Wireless I/O Connectivity Modules and Gateway Solution -- Industrial Applications Based on IoT -- Data Integration -- Interoperability and Diversity -- Applications -- Performance -- Vision, Architectural Elements, and Future Directions -- Ubiquitous Computing in the Next Decade -- IoT Elements -- Radio Frequency Identification (RFID) -- Wireless Sensor Networks (WSN). Secure Data Accumulation -- Addressing Schemes -- Data Storage and Analytics -- Visualization -- Applications -- Personal and Home -- Utilities -- Distributed AI -- Technological Impact Areas and Applications -- Application of IOT Environment -- Technological Environment -- Physical Environment -- Socio-Economic Environment -- Business Environment -- Architectural Layers and Application Domains of IoT -- The Challenges of IoT -- Internet of Things Will Change Industry -- Plant Alarm and Event Resolution -- The Benefits and Impact of IoT -- Conclusion -- References -- Chapter 5 -- The Internet of Things and 5G Wireless Networks -- Introduction -- Future Mobile Network -- Access to Broadband in Dense Areas -- Broadband Access Everywhere -- Higher User Mobility -- Internet of Things -- Smart Wearables -- Sensor Networks -- Technical and Economic Analysis -- Application and Services -- Conclusion -- References -- Chapter 6 -- Critical Issues Facing the Internet of Things (IoT) -- Introduction -- How Devices and Connectivity Are Organized -- Transmission and Communication Is Established between Devices -- The Process of Monitoring and Tracking Devices -- The Measurement Metric for Performance Analysis and Optimization -- Challenges: Security, Privacy, and Integrity of Data -- Connected Devices -- What Needed for IoT to Thrive? -- Data Storage, Management, Integrity, Security, and Maintenance -- Business Models for Organizations and Consumers -- Technology -- Business -- Society -- Conclusion -- References -- Chapter 7 -- Security and Privacy Issues on the Internet of Things -- Introduction -- Why Is IoT Security Important? -- Key Elements of IoT -- Technical Analysis -- Economic Analysis -- Vault 7: FBI's Armament Unleashed -- Wannacry -- Cisco's Idea -- Authentication -- Authorization -- Network Enforced Policy. Secure Analytics Visibility and Control -- Recommendation -- Conclusion -- References -- Chapter 8 -- Application and Services in IoT -- Introduction -- References -- Chapter 9 -- Industrial Internet of Things (IIoT) -- Introduction -- Brief Review -- 1. Connected Enterprise Control -- 2. Asset Performance Management -- 3. Augmented Operators -- Frontend Services -- 1. Applications and Data Analytics -- 2. Data Processing -- 3. Network Communication -- 4. Devices -- 5. Integrated Circuits (IC) -- 6. Network Security -- 7. Integrated System -- Market Analysis -- 1. Industrial IoT vs Consumer IoT -- Applications -- 1. Flight and Aviation Industries -- 2. Defense and Security Industries -- 3. Healthcare Industries -- 4. Energy Industries -- 5. Transportation Industries -- Conclusion -- References -- Chapter 10 -- IoT: A New Trends in Enterprise -- Introduction -- Transformation Phases -- Conclusion -- References -- Chapter 11 -- IoT: Smart Cities and Smarter Citizens -- Introduction -- IoT Systems and Privacy -- IoT Personalized Systems and Healthcare -- Governing IoT Systems and Marketing -- Personalized IoT Systems and the Future of Cities -- Smart Home -- References -- Chapter 12 -- IoT: Architecture and Virtualization -- Introduction -- Conclusion -- References -- Chapter 13 -- The Internet of Things: A More Connected World -- Introduction -- Smart Economy -- Smart Mobility -- Smart Environment -- Smart People -- Smart Living -- Smart Government -- References -- Chapter 14 -- Integration of IoT and AI -- Introduction -- Literature Review -- The Three Layer Infrastructure -- The Five Layer Infrastructure -- The Current Status of AI Development -- Narrow Artificial Intelligence -- General Artificial Intelligence -- Machine Learning -- Deep Learning -- Automation and Autonomy -- Human-Machine Teaming -- Future Impact -- Applications. Airplane Companies -- Oil Companies -- Production Companies -- Intelligent Architecture -- Interactive Homes -- Wearables -- Conclusion -- References -- Chapter 15 -- The Internet of Things: Machine Learning, Artificial Intelligence, and Automation -- Introduction -- IoT and Consumers -- Industrial Revolution -- Abilities of the Internet of Things -- The Internet of Things and Network Devices -- Issues around IoT -- The Importance of IoT -- Machine Learning -- Machine Learning and Artificial Intelligence -- Machine Learning Evolution -- The Importance of Machine Learning -- Machine Learning Users -- Finance Industry -- Government -- Healthcare -- Sales and Marketing -- Gas and Oil Production and Sale -- Transportation -- Methods of Machine Learning -- Supervised Machine Learning -- When Inductive Learning Can Be Applied -- Unsupervised Learning -- Semi-Supervised Learning -- Reinforcement Learning -- Machine Learning in Relation to Data Mining and Deep Learning -- Data Mining -- Machine Learning -- Deep Learning -- Traditional Programming and Machine Learning -- Key Elements of Machine Learning -- Machine Learning Processes in Practice -- The Essence of Machine Learning -- Machine Learning Workflow -- Artificial Intelligence -- Common Applications of Artificial Intelligence -- What Is Artificial Intelligence All About? -- Machine Learning in Relation to Artificial Intelligence -- Major Considerations in Artificial Intelligence -- Challenges Faced In Artificial Intelligence Development -- Recommendations and Some Guiding Principles -- Ethical Considerations in the Design and Deployment of Artificial Intelligence -- Principle -- Recommendations -- Interpretability of the Systems -- Principle -- Recommendations -- Public Empowerment -- Principle -- Recommendations -- Responsible Deployment -- Principle -- Recommendations -- Accountability -- Principle. Recommendations. EBL201812 Computing and Computers SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5345338 ebook n 201850 201812 21 PUBLIC https://catalogue.library.cern/legacy/2651631 BOOK MIGRATED 2651607 SzGeCERN 20210421203807.0 9781536130768 electronic version electronic version 9781536130768 print version 9781536130775 electronic version electronic version oai:cds.cern.ch:2651607 cerncds:BOOK EBL 5244688 eng TJ163.2 .A383 2018 621.042 Acosta, Morena J Advances in energy research Hauppauge Nova Science Publishers 2018 253 p ebook Advances in energy research 29 Intro -- Contents -- Preface -- Chapter 1 -- A Thermo Economic Modeling Approach to Evaluate the Impacts of the Energy Sector: Theoretical Development and Case Study -- Abstract -- 1. Introduction -- 2. Basic Theory of Thermo-Economic Analysis -- 2.1. Physics Equation -- 2.2. Thermo-Economic Equations -- 2.2.1. Direct Cost: Value of the Cost of the Energy Producing System Investments -- 2.2.2. Formulation of the Operating Cost -- 2.2.3. Economic Quantification of the Environmental Effect -- 2.2.4. The General Thermo Economic Function -- 3. Elaborating Equations to Quantify the Impacts of Energy Sources -- 3.1. Quantification of the Fossil Energy Impacts -- 3.2. Impact Quantification at the Level of the Source -- 3.3. Quantification of the Impacts at the Level of the Treatment Phase -- 3.4. Impact of the Nuclear Energy -- 3.5. Impact of Renewable Energy Resources -- 3.5.1. Impact of Solar Energy Systems -- 3.5.2. Impact of the Wind Energy System -- 3.5.3. Impact of the Geothermal Energy Source -- 3.5.4. Impact of the Hydro Energy Sources. Hydroelectric Power -- 3.5.5. Impact of Biomass Energy -- 3.5.6. Impact of Wave Energy -- 3.6. Recapitulation -- 4. Case Study: Application of the Theory to the Energy Producing System from the Wind -- 4.1. Formulations for Wind Sites Characterisation -- 4.2. Wind Directions -- 4.3. Wind Intensity -- 4.4. Air Motion Equations to Estimate Wind Speed Onshore and Offshore -- 4.5. Propeller Conception's: Analysing Wind Turbine Efficiency and Wind Farm Capacity -- 4.5.1. Fixing the Users Requirement from Energy -- 4.5.2. Estimating Blade Characteristics -- 4.5.3. Estimating Wind Turbine Yield -- 4.5.4. Estimating Wind Farm Capacity -- 4.6. Thermoeconomical analysis for the wind energy source -- 4.6.1. Recapitulation of Costs from Projects Wind Farms Conceptualized. 4.6.2. Recapitulation of External Costs from Realized Projects: Environmental Effects -- 4.7. Calculus and estimation for Tunisian wind farms -- Conclusion -- References -- Chapter 2 -- The Potentials of Minimal Hydropower for Sustainable Energy Development in Nigeria -- Abstract -- 1. Introduction -- 2. Energy Situation in Nigeria -- 3. Hydropower Energy Resource in Nigeria -- 4. Global Potentials of Small Hydropower as Renewable Energy -- 5. Potentials of Small Hydropower in Nigeria -- 6. Development of Small Hydropower in Nigeria -- 6.1. Challenges and Prospects of Small Hydropower Development in Nigeria -- 6.1.1. Challenges to SHP Development in Nigeria -- 6.1.1.1. Lack of Policy and Regulatory Framework -- 6.1.1.2. Equipment and Technology -- 6.1.1.3. Financing and Investment Barriers -- 6.1.1.4. Limited Awareness of the SHP Technology -- 6.1.1.5. Low Level of Disposable Income -- 6.1.1.6. Lack of Accurate Design Data -- 6.1.2. Prospects of Developing Small Scale Hydropower in Nigeria -- 6.2. Small Hydropower Technology Development and Climate Change -- 7. Small Hydropower - A Sustainable Energy Technology -- Conclusion -- References -- Chapter 3 -- Photobioreactors in Integrated Systems of Oxycombustion -- Abstract -- Introduction -- Carbon Capture Technologies -- Science and Technology of the Oxycombustion -- Process Overview -- Chemical Aspects of Oxycombustion -- Oxygen Production by Conventional Technologies -- Biological Oxygen Generation -- Other Volatiles Compounds Released by Microalgae -- Photobioreactors -- Process Integration -- References -- Chapter 4 -- The Development of Localised Marine Power in the Coastal Area -- Abstract -- 1. Introduction -- 2. Methodology -- 3. Resource Assessment (Numerical Simulation and Site Survey) -- 3.1. Numerical Simulation: Delft3D -- 3.2. Numerical Simulation: StarCCM+ -- 3.3. Site Survey. 3.4. Simulation Correlation -- 4. Turbine Design and Manufacturing -- 4.1. Turbine Components: Nozzle-Diffusor Duct Design -- 4.2. Turbine Components: Magnetic Coupling -- 4.3. Turbine Components: Turbine Supporting Structure -- 4.4. Turbine Components: Generator, Cable Protection and Electronic Part -- 4.5. Performance Prediction: Estimation of Generated Power -- 5. Laboratory Testing -- 6. Site Installation -- 7. Site Testing -- 8. Result Correlation -- 8.1. Tidal Cycle and Correlation -- 8.2. Summary -- 9. Maintenance and Service -- Conclusion -- Acknowledgments -- References -- About the Authors -- Chapter 5 -- Electrochemical Conversion of CO2 into Valuable Products -- Abstract -- 1. Introduction -- 2. Electrochemical Reactions with CO2 -- 2.1. Mechanism of Electrochemical CO2 Reactions -- 3. CO2 Reduction Using Fuel Cells -- 4. CO2 Reduction in Ionic Liquids -- 5. CO2 Electrochemical Reduction with Nanostructured Materials -- 6. CO2 Reduction with Transition Metals -- 6.1. Titanium -- 6.2. Iron -- 6.3. Cobalt -- 6.4. Nickel -- 6.5. Copper -- 6.6. Zinc -- 6.7. Molybdenum -- 6.8. Ruthenium -- 6.9. Palladium -- 6.10. Gold -- Conclusion -- References -- Chapter 6 -- Modern Electrical Grid Optimization with the Integration of Big Data and Artificial Intelligence Techniques -- Abstract -- 1. Introduction -- 1.1. Grid Systems -- 1.2. Electrical Grid -- 1.3. Grid Connected Systems -- 1.4. Off-Grid Power Supply -- 1.5. Distributed Energy Resources (DER) -- 1.6. Microgrid -- 1.7. Stand-Alone System -- 1.8. Smart Grid -- 2. Hybrid Energy Systems Classification -- 3. Hybrid Energy Systems' Optimization -- 3.1. Optimization Variables -- 3.2. Optimization Techniques Used for HES -- 3.2.1. Tabu Search -- 3.2.2. Genetic Algorithm -- 3.2.3. Simulated Annealing -- 3.2.4. Particle Swarm Optimization (PSO) -- 3.2.5. Ant Colony Optimization (ACO). 3.2.6. Artificial Neural Network (ANN) -- 3.2.7. Differential Evolution (DE) -- 3.2.8. Biogeography-Based Optimization (BBO) -- 3.3. Software Used to Optimize HES -- 3.3.1. MATLAB/SIMULINK -- 3.3.2. DigSILENT -- 3.3.3. RETScreen -- 3.3.4. OptQuest -- 3.3.5. HOMER -- 4. Big Data and Hybrid Energy Systems -- References -- Biographical Sketches -- About the Authors -- Index -- Blank Page. EBL201812 SzGeCERN Engineering BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5244688 ebook 201812 n 201850 21 PUBLIC https://catalogue.library.cern/legacy/2651607 BOOK MIGRATED 2651587 SzGeCERN 20210421203810.0 9781536126990 electronic version electronic version 9781536126990 print version 9781536127003 electronic version electronic version oai:cds.cern.ch:2651587 cerncds:BOOK EBL 5167071 eng TJ163.2 .A383 2017 621.042 Acosta, Morena J Advances in energy research Hauppauge Nova Science Publishers 2017 248 p ebook Advances in energy research 28 Intro -- Contents -- Preface -- Chapter 1 -- Nanoemulsions: Preparation, Characterization, Applications, and Their Kinetic and -- Thermodynamic Stability -- Abstract -- 1. Introduction -- 2. Emulsions -- 2.1. Microemulsions -- 2.2. Nanoemulsions -- 3. Advantage of Nanoemulsions -- 4. Preparation of Nanoemulsion -- 4.1. High Pressure Homogenization -- 4.2. Microfluidisation -- 4.3. Sonication -- 4.4. Phase Inversion Temperature Technique (PIT) -- 4.5. Phase Inversion Composition Method (PIC) -- 4.6. Spontaneous Emulsification -- 4.7. Solvent Displacement Method -- 5. Influence of the Operating Conditions on Nanoemulsion -- 5.1. Effect of Method, System Stirring and Time -- 5.2. In uence of Carrier Oil Type -- 5.3. In uence of Surfactant Type and Concentration -- 5.4. Effect of the Ratio of Surfactant to Oil on the Droplet Size -- 5.5. Influence of Oil Phase Viscosity on Mean Droplet Size -- 5.6. Effect of Environmental Stresses (Temperature, pH and Salt Content) -- 6. Characterization of Nanoemulsions -- 6.1. Morphology of Nanoparticles -- 6.2. Particle Size Analysis and Zeta-Potential Measurement -- 6.3. Determination of Bioactive Content -- 6.4. Surface Area of Droplets -- 6.5. Colour and Turbidity Evolution -- 6.6. Interfacial Characteristics -- 7. Bioavailability after Ingestion -- 8. Bioaccessibility -- 9. Stability of the Nanoemulsion during Storage -- 10. Potential Mechanism of Crystal Formation in Nanoemulsions -- 10.1. Nucleation -- 10.1.1. Nucleation within a Supercooled Melt -- 10.1.2. Nucleation within a Supersaturated Solution -- 10.2. Crystal Growth -- 11. Thermodynamic Stability -- 11.1. Mathematical Model of Thermodynamic Stability -- 12. Kinetic Stability -- 12.1. Energy Barriers -- 12.2. Mass Transfer in Nanoemulsions -- 13. Kinetics of Bioactive Component Release -- 13.1. Fundamentals of Kinetics. 13.2. Nernst and Brunner Film Theory -- 13.3. Release Kinetic Modeling -- 13.3.1. The Higuchi Model -- 13.3.2. The Weibull Model -- 14. Application of Nanoemulsions -- 14.1. Parenteral Delivery -- 14.2. Oral Delivery -- 14.3. Topical Delivery -- Conclusion -- References -- Chapter 2 -- The Assessment of Power Quality in Electric Distribution Systems from Romania -- Abstract -- Acronyms -- 1. Introduction -- 2. AI Techniques -- 2.1. Clustering Techniques -- 2.2. Fuzzy Modelling -- 3. Assessment of Slow Voltage Variations -- 3.1. General Aspects -- 3.2. Characteristic Indices for Slow Voltage Variations -- 3.3. Assessment of SVV Using Clustering Based Approaches -- 3.3.1. Case Study. K-Means Clustering Algorithm Based Approach -- 3.3.2. Case Study. Ward Hierarchical Clustering Algorithm Based Approach -- 3.3.3. Case Study. Fuzzy Logic Based Approach -- 4. Influence of Harmonics on Power Losses in LV Electric Distribution Networks -- 4.1. General Aspects -- 4.2. The Assessment of Active Power Losses in LV Distribution Systems Operated in Distorted Steady State -- 4.3. Power Losses Estimation in Distribution Networks under Harmonic Polluted Environment -- 4.3.1. Case Study. Statistical Based Approach -- 4.3.2. Case Study. Fuzzy Techniques Based Approach -- References -- Chapter 3 -- Intensification of Bio-Based Processes: Bioreactor Models -- Abstract -- 1. Introduction -- 2. Biorefinary and Biomass Concept -- 3. Biomass Conversion -- Process Characteristics and Potential Routes -- 4. Chemicals Derived from Biomass and Their Application -- 5. Bioprocess Intensification -- 6. Development of Innovative Bioreactors in BPI -- 7. Types of Bioreactors -- 7.1. Submerged Bioreactors -- 7.1.1. Stirred Tank Bioreactors -- 7.1.2. Bubble Column Bioreactors -- 7.1.3. Airlift Bioreactors -- 7.1.4. Packed Bed Bioreactors -- 7.1.5. Fluidized Bed Bioreactors. 7.1.6. Membrane Bioreactors -- 7.2. Solid State Bioreactors -- 7.2.1. Drum Bioreactors -- 7.2.2. Tray Type Bioreactors -- 7.2.3. Fixed Bed Bioreactors -- 8. Bioreactors for Plant Cells -- 8.1. Basic Features of HRs -- 8.2. Application of HR Cultures -- 9. Photobioreactors -- Conclusion -- References -- Chapter 4 -- An Economic Analysis of Electricity Demand: Evidence from Japan* -- Abstract -- 1. Introduction -- 2. Literature Review -- 3. Methodology and Data -- 3.1. Methodology -- 3.1.1. Theoretical Background -- 3.1.2. Empirical Method -- 3.2. Data -- 4. Results -- 4.1. Estimation Results -- 4.2. Contribution Analysis -- Conclusion and Policy Implications -- Acknowledgments -- References -- Chapter 5 -- Optimization and Correlation Between the Composition and Flash Point of (Biodiesel + Diesel), (Palm Kernel Oil + Diesel) and (Palm Kernel Oil + Diesel) Blends -- Abstract -- 1. Introduction -- 2. Materials and Methods -- 2.1. Analysis of Waste Cooking Oil and Palm Kernel Oil -- 2.2. Transesterification of Waste Cooking Oil -- 2.3. Optimization with Response Surface Methodology -- 2.4. Basic Properties of WCOME and WCO -- 2.5. Flash Point of Blend Fuel Types and Model Development -- 3. Results and Discussion -- 3.1. Analysis of Waste Cooking Oil and Palm Kernel Oil -- 3.2. Transesterification Process -- 3.3. Influence of Transesterification Variables and Optimization of Waste Cooking Oil Methyl Esters -- 3.4. Optimization of Response Parameters and Model Assessment -- 3.5. Biodiesel Properties and Its Fatty Ester Composition -- 3.6. Flash Point of the Novel Fuel -- Conclusion -- References -- Chapter 6 -- The Importance of Predicting Energy Consumption in Industrial Sectors: The Application of ANN -- Abstract -- 1. Introduction -- 1.1. Industrial Energy Use -- 1.2. Industrial Energy Conservation -- 2. Predicting Industrial Energy Use. 2.1. Importance of Energy Prediction in Industries -- 2.2. Artificial Intelligence Means of Prediction -- Equations Governing ANN -- 3. Applications of Artificial Neural Network -- 3.1. Predictive Modelling for Energy Consumption in Machining Using Artificial Neural Network [37] -- 3.2. Application of Artificial Neural Network Method to Exergy and Energy Analyses of Fluidized Bed Dryer for Potato Cubes [39] -- 3.3. Development and Validation of Artificial Neural Network Models of the Energy Demand in the Industrial Sector of the United States [34] -- Conclusion -- References -- Chapter 7 -- Microstructures and Properties of Carbon Composite Materials for Nuclear Fusion Reactors -- Abstract -- 1. Introduction -- 2. Fusion Reactor Materials -- 3. Materials and Methods -- 4. Thermal Conductivity and Microstructures -- 5. Mechanism of Formation and Conductivity -- Conclusion -- References -- Index -- Blank Page. EBL201812 SzGeCERN Engineering BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5167071 ebook 201812 n 201850 21 PUBLIC https://catalogue.library.cern/legacy/2651587 BOOK MIGRATED 2651572 SzGeCERN 20210421203813.0 9781536127973 electronic version electronic version 9781536127973 print version 9781536127980 electronic version electronic version oai:cds.cern.ch:2651572 cerncds:BOOK EBL 5114068 eng TK7872.P75.P756 2017 621.38099999999997 Yvon, Kylian Printed electronics Hauppauge Nova Science Publishers 2017 171 p ebook Manufacturing technology research Intro -- Contents -- Preface -- Chapter 1 -- Printed Smart Labels in Packaging -- Abstract -- 1. Smart Labels -- 1.1. Printed RFID Smart Labels -- 1.2. Smart RFID Labels with Printed Sensors -- 1.3. Hybrid Electronics Smart Labels -- 2. Materials Used in Smart Labels -- 2.1. Inorganic Materials -- 2.2. Organic Materials and Substrates -- 2.3. Substrates -- 2.4. Future Trends in Materials for Smart Labels -- 3. Technologies -- 4. Applications -- 4.1. RFID Devices -- 4.2. Sensing Devices -- 4.3. Sensing Systems Interfaced with RFID Tags -- 5. Environmental Impact of Smart Labels -- 5.1. Negative Impact -- 5.2. Positive Impact -- 5.3. Future Outlook -- Conclusion -- References -- Biographical Sketches -- Chapter 2 -- Electrically Conductive Textile Materials and Printing Inks for Wearable Technology -- Abstract -- Introduction -- Electrical Conductivity and Resistance of Materials -- Basic Definitions -- Electrically Conductive Materials -- Electrically Conductive Fibres -- Carbon Fibers and CNTs Yarns -- Coated Textile Fibers by Metals -- Coated Textile Fibers by ICPs -- Conductive Polymer Composite Fibers -- Printing with Conductive Inks -- Environmental Impact -- Environmental Impact of Printing Inks and Technologies -- Environmental Impact of Electronic Textile Wastes -- Future Potentials and Concerns for Virtual and Augmented Aspects of Wearable Electronics on Textiles -- Conclusion -- References -- Biographical Sketch -- Index -- Blank Page. EBL201812 Engineering SzGeCERN BOOK Fabrice, Nathan https://cds.cern.ch/auth.py?r=EBLIB_P_5114068 ebook n 201850 201812 21 PUBLIC https://catalogue.library.cern/legacy/2651572 BOOK MIGRATED 2651562 SzGeCERN 20210421203815.0 9781536123517 electronic version electronic version 9781536123517 print version 9781536123524 electronic version electronic version oai:cds.cern.ch:2651562 cerncds:BOOK EBL 5114009 eng TP156.I6.I56 2017 541/.3723 Spencer, Norman Ion exchange Hauppauge Nova Science Publishers 2017 337 p ebook Analytical chemistry and microchemistry Intro -- Contents -- Preface -- Chapter 1 -- Ion Exchange as a Route of Cu-Substituted ZSM-5 Synthesis: Theory and Applications -- Abstract -- 1. Introduction -- 2. Zeolite Structure and Properties -- 3. Ion Exchange Theory Applied to Zeolite -- 3.1. Kinetics of Ion Exchange of the Zeolite with Aqueous Solutions of Copper Salts -- 3.2. Models of Ion Exchange Isotherms -- 4. The Use of Ion Exchange for the Synthesis of Cu-ZSM-5 Zeolite -- 4.1. Conditions of Liquid-Phase Ion Exchange -- 4.2. Conditions of Solid-Phase Ion Exchange -- 4.3. The Effect of Cationic form of ZSM-5 Zeolite and Its Silicate Modulus -- 4.4. Effect of the Copper Salt Nature and Its Concentration in a Solution -- 4.5. The Effect of pH of the Ion-Exchange Solution -- 4.5.1. The pH Control by Method 1 -- 4.5.2. The Control of pH by Method 3 -- 4.6. The Effect of Ion Exchange Temperature and Duration -- 4.7. The Number of Ion Exchange Procedures -- 4.8. The Description of Ion Exchange within the Kinetics Models -- 4.9. The Description of Ion Exchange within the Langmuir and Freundlich Models -- 5. The Effect of Ion Exchange Conditions on the State of Copper Cations in Cu-ZSM-5 Zeolite -- 5.1. Isolated Cu2+ Ions -- 5.2. Polynuclear [Cu-O-Cu]2+ Oxo Cations -- 5.3. Finely Dispersed CuO Particles -- Conclusion -- Acknowledgments -- References -- Chapter 2 -- Remediation of Industrial Wastewaters Containing Heavy Metals through Ion Exchange Technology -- Abstract -- 1. Introduction -- 2. Heavy Metal Wastewater Treatment Technologies -- 2.1. Chemical Precipitation -- 2.1.1. Hydroxide Precipitation -- 2.1.2. Sulfide Precipitation -- 2.2. Coagulation and Flocculation -- 2.3. Membrane Filtration -- 2.3.1. Reverse Osmosis -- 2.3.2. Nanofiltration -- 2.3.3. Ultrafiltration -- 2.4. Ion Exchange -- 2.5. Adsorption -- 2.6. Electrochemical Treatment -- 2.7. Flotation. 3. Application of Ion Exchange for Purification of Heavy Metals Contaminated Waters -- Conclusion -- References -- Chapter 3 -- Environmental Applications of an Ion-Exchange Method: Achievements, Opportunities and Challenges -- Abstract -- Introduction -- Theoretical Fundaments of Ion Exchange Method -- Classification of Ion Exchangers -- Environmental Application of Ion Exchange Method -- Future Perspectives and Conclusions -- References -- Chapter 4 -- Molecular Imprinting Ion-Exchange Technology: Fundamentals and Applications on Environmental Issues -- Abstract -- List of Abbreviations and Acronyms -- 1. Fundamentals of Molecular (Ion) Imprinting -- 2. Applications of Imprinted Polymers -- 2.1. Applications on Water -- 2.1.1. Common Metal Pollutants -- 2.1.1.1. Copper Ion Imprinted Polymers -- 2.1.1.2. Lead Ion Imprinted Polymers -- 2.1.1.3. Nickel Ion Imprinted Polymers -- 2.1.1.4. Cadmium Ion Imprinted Polymers -- 2.1.1.5. Uranyl Ion Imprinted Polymers -- 2.1.1.6. Mercury Ion Imprinted Polymers -- 2.1.2. Main Metalloid Pollutants -- 2.1.2.1. Arsenic Ion Imprinted Polymers -- 2.1.2.2. Selenium Imprinted Polymers -- 2.1.3. Anion Imprinted Polymers -- 2.1.3.1. Phosphate Imprinted Polymers -- 2.1.3.2. Arsenate or Arsenite Imprinted Polymers -- 2.1.3.3. Thiocyanate Imprinted Polymers -- 2.1.3.4. Chromate Imprinted Polymers -- 2.1.3.5. Other Anion Imprinted Polymers -- 2.1.4. Organic Pollutants Imprinted Polymers -- 2.1.4.1. Persistent Organic Pollutants (POPs) Imprinted Polymers -- 2.1.4.2. Dyes Imprinted Polymers -- 2.1.4.3. Detergents Imprinted Polymers -- 2.1.4.4. Other Organic Pollutants Imprinted Polymers -- 2.2. Applications on Atmosphere -- 2.2.1. Applications on Air Pollution -- 2.2.2. Applications on Global Warming -- 2.2.3. Application on Other Gases -- 2.3. Application on Soil -- 2.4. Application on Resources Recovery. Acknowledgments -- References -- Chapter 5 -- Multiversatile Zeolite Contribution in Order to Sustain the Environment -- Abstract -- Some Aspects on Ion Exchange and Adsorption - From History to Presence -- Water Treatment with Natural Zeolite: An Overview -- Antimony and Environment -- Adsorption Kinetics and Isotherm Studies for Antimony Removal onto Some Native Materials -- Adsorbents Examined -- Analytical Procedures -- Laboratory Setup -- Kinetic Studies -- Isotherm Studies -- Conclusion -- Acknowledgments -- References -- Chapter 6 -- A Focus on Ion Exchange and Adsorption Technologies in the Purification of Olive Mill Effluents -- Abstract -- Introduction -- Adsorption Processes for Olive Mill Effluents Purification -- Ion Exchange Processes for Olive Mill Effluents Purification -- Conclusion -- Acknowledgments -- References -- Chapter 7 -- Bio-Regeneration of Resin: A Novel Method for Increased Sustainability of the Ion Exchange Process -- Abstract -- Introduction -- Materials and Methods -- Cultivation and Isolation of Salt Tolerant Culture -- Bio-Regeneration of Loose Resin -- Resin Exhaustion -- Resin Regeneration -- Bio-Regeneration of Resin Enclosed in a Membrane -- Resin and Membrane -- Culture -- Exhaustion Cycles -- Bio-Regeneration Cycles -- Resin Bio-Regeneration Model -- Analytical Studies -- Statistical Analysis -- Results and Discussion -- Salt-Tolerant Nitrate-Perchlorate Reducing Bacteria -- Direct Regeneration of Resin -- Batch Test of Resin Regeneration -- Numeric Modeling of Direct Bio-Regeneration -- Evaluation of Performance of Regenerated Resin -- Indirect Regeneration of Resin, Multi-Cycle Regeneration -- Performance of the Bio-Regeneration Model -- Conclusions -- References -- Chapter 8 -- Copper Ion Exchange in Silicate Glasses: A Review -- Abstract -- Introduction. 1. Principal Information on the Copper IE in Glasses -- 1.1. Principal Mechanisms of Copper Ion Exchange in Silicate Glass Containing Alkali and Alkaline Earth Metals -- 1.2. The Surrounding of Copper in Silicate Glass after the Ion Exchange -- 1.3. Reduction Processes in Silicate Glass in the Course of Copper IE -- 1.4. Oxidation of Copper in Glass in the Course of the IE Process and Subsequent Heat Treatment -- 1.5. Effect of the Ion-Exchange Salt Bath Composition on the Physical and Chemical Properties of Copper-Containing Glass -- 1.6. Concentration Profiles of Copper Ions in Silicate Glasses Containing Alkali and Alkaline Earth Metals after the Copper IE -- 1.7. Refractive Index Profiles of Alkali- and Alkaline Earth-Containing Silicate Glasses after the Copper ion Exchange -- 1.8. Absorption of Alkali Silicate Glasses after the Copper Ion Exchange -- 1.9. Luminescence of Silicate Glasses with Copper Incorporated by the Ion Exchange Method -- 2. Formation of the Bimetallic Nanoparticles in Glasses with the IE Method -- 3. Practical Applications of Copper-Containing Silicate Glasses Obtained with the IE Method -- Conclusion -- Acknowledgments -- References -- Index -- Blank Page. EBL201812 Chemical Physics and Chemistry SzGeCERN BOOK Thornton, Jorge https://cds.cern.ch/auth.py?r=EBLIB_P_5114009 ebook n 201850 201812 21 PUBLIC https://catalogue.library.cern/legacy/2651562 BOOK MIGRATED 2651551 SzGeCERN 20210421203816.0 9781536123708 electronic version electronic version 9781536123708 print version 9781536123838 electronic version electronic version oai:cds.cern.ch:2651551 cerncds:BOOK EBL 5014362 eng TJ145.M434 2017 621 Kadry, Seifedine Mechanical systems Hauppauge Nova Science Publishers 2017 315 p ebook Mechanical engineering theory and applications Intro -- Contents -- Preface -- Chapter 1 -- System Diagnostics and Prognostics: A Review -- Abstract -- Introduction -- Intelligent Maintenance -- Degradations Prognostic -- Prognostic Approaches -- Prognostic Based on Models -- Prognostic Guided by Data -- Prognostic by Trend Analysis -- Prognostic by Learning -- Prognostic by State Estimation -- Prognostic Based on Experience -- Stochastic Approach -- Reliability Approach -- Synthesis -- Conclusion -- References -- Chapter 2 -- Random Vibro-Impact Vibration in Mechanical Systems -- Abstract -- Introduction -- Problem Formulation -- Numerical Analysis -- Case 1: A Vibro-Impact Duffing Oscillator with a Non-Zero Offset Barrier Under External Gaussian White Noise -- Case 2: A Vibro-Impact Duffing Oscillator with a Non-Zero Offset Barrier under External and Parametric Gaussian White Noise on Displacement -- Case 3: A Vibro-Impact Duffing Oscillator with a Zero Offsect Barrier under External and Parametric Gaussian White Noise on Velocity -- Conclusion -- References -- Chapter 3 -- The Machine for Cutting Cane and Other Aquatic Plants in Navigable Waterways by Agustín de Betancourt y Molina: Analysis by Computer-Aided Engineering Techniques with an Autodesk Inventor Professional -- Abstract -- Introduction -- Materials and Methods -- Computer-Aided Design -- Computer-Aided Engineering -- Preprocessing -- Assignment of Materials -- Boundary Conditions -- Forces Applied -- Meshing -- Results and Discussion -- Distribution of von Mises Stresses -- Distribution of Displacements and Deformations -- Safety Coefficient -- Conclusion -- Funding -- Acknowledgments -- References -- Chapter 4 -- Mechanical Systems and Microfluidics: The Application of a Vision System in the Testing of Fluids Behavior -- Abstract -- Introduction -- Physics Fundamentals of Mechanical and Microfluidics Systems. Micro-Electromechanical Systems (MEMS) -- Microfluidics -- Magnetohydrodynamics (MHD) -- Mechanical Systems and Microfluidics-Related Work -- Lab-On-Chip Systems (LOS) -- Sensors -- Actuators -- Particle Image Velocimetry Systems -- MHD Stirrer System Overalls -- The Application of a Vision System in the Testing of Fluids Behavior -- Particle Image Velocimetry (PIV) -- Seeding -- Illumination and Recording -- Preprocessing Methods for PIV -- High Pass Filtering -- Contrast Limited Adaptive Histogram Equalization (CLAHE) -- Min/max Image-Enhancement Technique -- Intensity Capping -- Proper Orthogonal Decomposition (POD) -- Processing Methods for PIV -- Cross-Correlation in the Spatial Domain -- Cross-Correlation in the Frequency Domain -- Post-Processing Methods for PIV -- Data Validation -- Data Interpolation -- Data Smoothing -- Data Exploration -- Conclusion -- References -- Chapter 5 -- The Structural Study of Limited Invariant Sets of Relay Stabilized Systems -- 1. Introduction -- 2. Relay Stabilization of Stationary Systems with Scalar Control -- 2.1. Basic Definitions -- 2.2. Auxiliary Statements -- 2.3. Construction of Relay Stabilizing Control For Stationary System with Scalar Control with Control Signal Formed by Linear Law -- 2.4. Construction of Relay Stabilizing Control for Stationary System with a Scalar Control Having the Control Signal Generated by Nonlinear Law -- 3. Structure of Invariant Set Occurring When the Relay Stabilization of Stationary Systems with Scalar Control Is Realized -- 3.1. Auxiliary Proposal -- 3.2. Structure of Invariant Sets Occurring in Systems Closed by Relay Stabilizing Control with Control Signal Formed by a Linear Law -- 3.3. Structure of Invariant Sets Occurring in Systems Closed by Relay Stabilizing Control with Control Signal Formed by Nonlinear Law -- 4. Split Stationary Systems with Vector Control. 4.1. Structure of Limit Invariant Set in Case When Control Signal of Relay Stabilizing Control Is Formed by Linear Law -- 4.2. Structure of Limit Invariant Set in Case When Control Signal of Relay Stabilizing Control Is Formed by Nonlinear Law -- 5. Nonsplit Linear Stationary Systems with Vector Control -- 5.1. Representing of the Initial System in Canonical Form -- 5.2. Structure of Invariant Set of Relay Stabilizing Linear System with Vector Control -- Conclusion -- References -- Chapter 6 -- Finding an Unbiased Warranty Length for a Product under Parametric Uncertainty of Underlying Lifetime Models -- Abstract -- 1. Introduction -- 2. A Left-Truncated Weibull Lifetime Model -- 2.1. A Lower Unbiased ( Prediction Limit on -- 2.2. An Upper Unbiased ( Prediction Limit on -- 3. A Two-Parameter Exponential Lifetime Model -- 3.1. A Lower Unbiased ( Prediction Limit on -- 4. A Pareto Lifetime Model -- 4.1. A Lower Unbiased ( Prediction Limit on -- 4.2. An Upper Unbiased ( Prediction Limit on -- 5. A Practical Numerical Example -- Conclusion -- References -- Chapter 7 -- Modeling of Mechanical Aspects' (Static, Dynamic) Influence on the Production of Electric Fuel Cell (PEMFC) Power -- Abstract -- 1. Introduction -- 2. System with a PEMFC (FCS) -- 3. State of the Art on the Degradations Which Lead to a Decrease in the Performance of a PEMFC -- 4. State of the Art on the Phenomenological Influence of Mechanical Aspects on the Production of Power by a PEMFC -- 5. Impact of Static Mechanical Solicitations on the Degradation of a FCs' Performance -- 5.1. The Influence of Porosity and permeability of the Gases' Diffusion Layer on the Performance of PEMFCs -- 5.2. The Influence of Local Pressure on the Performance of PEMFCs between the Interface of the Diffusion Layer of Gazes and the BP -- 5.3. Experiment Plan: Study of Sensibility and Variability. 6. Impact of Mechanical Vibration and Climatic Solicitations on the Performance of a FCS -- Conclusion -- References -- Chapter 8 -- Quantum Graph-Type Models of the Helmholtz Resonator and the Completeness of Resonance States -- Abstract -- Introduction -- Scattering Matrix -- Hybrid Manifold Model -- Discussion -- Acknowledgments -- References -- Chapter 9 -- Applied Research in Forensic Engineering -- Abstract -- Introduction -- Methods -- Common Base -- Methods of Forensic Engineering -- Road Traffic Safety Studies -- a) Detailed Accident Analyses -- b) Statistical Risk Analyses -- c) Observations -- Comparison -- Statistical Risk Analyses for Forensic Engineers -- Accident Frequency Indicator [1] -- Accident Rate Indicator [1, 9, 14] -- Equivalent Property Damage Only Index - EPDO Index [1] -- Accident Severity Number [14] -- Accident Average Severity [14] -- Practical Example -- Detailed Accident Analysis -- Possibilities of Accident Participants to Avert Collision -- Possibilities of Other Traffic Participants to Avert Collision -- Conclusions from Detailed Accident Analysis - Human Factor -- Conclusions from Detailed Accident Analysis - Environmental Factor -- Statistical Risk Analysis -- Conclusions from Statistical Risk Analysis -- Observations -- Quality Principle -- Consistency over Space Principle -- Consistency over Time Principles -- Conclusions from Observations -- Further Findings from Safety Analysis -- Proposals of Possible Modifications of Layout -- Version A -- Version B -- Version C -- Conclusion -- References -- Chapter 10 -- Energy Efficiency via a Turbulator -- Abstract -- 1. Introduction -- 2. Effect of Enhancement Technique -- 3. Some Important Enhancement Techniques by Using Turbulators and Their Thermal Performance Factor -- Conclusion -- References -- Chapter 11. A Mathematical Model of a Rocket Engine for Reliability Analysis -- Abstract -- 1. Introduction -- 2. Mathematical Model Details -- 2.1. Nomenclature -- 2.2. Assumptions -- 2.3. System Description -- 2.4. Formulation of Model -- 2.5. Solution of Model -- 3. Particular Cases and Numerical Computations -- 3.1. Availability Analysis -- 3.2. Reliability Analysis -- 3.3. MTTF Analysis -- 3.4. Profit Analysis -- 3.5. Sensitivity Analysis -- 3.5.1. Availability Sensitivity -- 3.5.1. Reliability Sensitivity -- 3.5.1. MTTF Sensitivity -- 4. Result and Discussion -- Conclusion -- References -- About the Editor -- Index -- Blank Page. EBL201812 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5014362 ebook n 201850 201812 21 PUBLIC https://catalogue.library.cern/legacy/2651551 BOOK MIGRATED 2651506 SzGeCERN 20210421203823.0 9781536117219 electronic version electronic version 9781612092386 electronic version electronic version 9781612092386 print version oai:cds.cern.ch:2651506 cerncds:BOOK EBL 4871876 eng TA1675.A383 2011 621.36599999999999 Arkin, William T Advances in laser and optics research Hauppauge Nova Science Publishers 2012 233 p ebook Advances in laser and optics research 6 Intro -- ADVANCES IN LASER AND OPTICS RESEARCH VOLUME 6 -- ADVANCES IN LASER AND OPTICS RESEARCH VOLUME 6 -- CONTENTS -- PREFACE -- Chapter 1 AN OVERVIEW OF OPTICAL SENSORS AND THEIR APPLICATIONS -- ABSTRACT -- 1. INTRODUCTION -- 2. INTENSITY BASED SENSORS -- 2.1. Fabry-Perot Type Sensors -- 2.2. Emission Based Sensors -- 2.3. Differential Absorption Based Sensors -- 2.4. Flourescence Luminsecence Type Sensors -- 2.5. Evanescent Field Sensors -- 2.6. Photometric Sensors -- 3. DISTRIBUTED SENSORS -- 3.1. Rayleigh Scattering Based Sensors -- 3.2. Raman Scattering Based Sensors -- 3.3. Brillouin Scattering Based Sensors -- 3.4. Fiber Bragg Grating Sensors -- 4. INTERFEROMETRIC SENSORS -- 5. SOME OTHER FORMS OF FOSS AND THEIR APPLICATIONS -- 6. FOSS IN THE ENVIRONMENTAL CONTEXT -- 7. THE ROLE OF INTEGRATED OPTIC (IO) TECHNOLOGY IN SENSING APPLICATIONS -- CONCLUSION -- REFERENCES -- ABOUT THE AUTHORS -- Chapter 2 COMBINING ENERGY EFFICIENCY WITH AESTHETIC APPEAL USING ADVANCED OPTICAL MATERIALS -- ABSTRACT -- 1. INTRODUCTION AND BACKGROUND -- 1.1. Energy Savings and Building Ambience -- 1.2. Optical Properties and Materials -- 1.3. Polymer Composites and Nano-Structured Materials -- 1.4. Optical Phenomena of Interest for Energy Efficient Materials -- 1.5. Spectral and Directional Issues: the Sun and the Sky -- 2. MATERIALS AND APPLICATIONS -- 3. NANOPARTICLE PLASMON RESONANCES FOR SPECTRAL, DIRECTIONAL AND HAZE CONTROL IN GLAZING AND SKYLIGHTS -- 4. ENERGY EFFICIENT SCATTERING MATERIALS: APPLICATIONS IN ATTRACTIVE LIGHTING DESIGN SKYLIGHTS, DISPLAY, LIGHT MIXING AND HOMOGENIZATION -- 4.1. Sheet and Thin Layer Formats -- 4.2. Integration of Light Transport and Controlled Side Emission Using Doped Polymer Fiber Optic Cable -- 4.3. ENERGY EFFICIENT LIGHT MIXING AND HOMOGENISATION. 5. ROOF, CAR AND WALL COOLING BASED ON SPECTRALLY SELECTIVE COATINGS AND PIGMENTS -- 5.1. Coloured Solar Reflective Paints -- 5.2. Radiative Cooling Paint and Pigmented Plastic Layers -- CONCLUSION -- ACKNOWLEDGMENTS -- REFERENCES -- ABOUT THE AUTHOR -- Chapter 3 INTEGRATED OPTICS ON SILICON -- ABSTRACT -- 1. INTRODUCTION -- 2. INTEGRATED OPTICS ON SILICON IN THE VISIBLE RANGE -- 3. CHARACTERISTICS OF WAVEGUIDES IN THE VISIBLE RANGE -- 4. INTEGRATED OPTICAL DEVICES -- 5. OPTOELECTRONIC SYSTEMS ON SILICON -- 5.1. Butt Coupling -- 5.2. Leaky Wave Coupling -- 5.3. Taper Coupling -- 5.4. Coupling by Integrated Mirrors -- 6. MONOLITHIC INTEGRATION OF WAVEGUIDES AND MOS CIRCUITS -- 7. LAYER-ADJUSTED MONOLITHIC INTEGRATION TECHNIQUE -- 8. MODULAR PROCESSING -- 9. MICROMECHANIC ADD -ONS FOR SENSOR APPLICATIONS -- 10. INFRARED LIGHT WAVEGUIDES IN SILICON -- CONCLUSION -- REFERENCES -- ABOUT THE AUTHOR -- Chapter 4 MECHANICAL CHARACTERIZATION OF BIO-TISSUES WITH OPTICAL TECHNIQUES AND GLOBAL OPTIMIZATION -- ABSTRACT -- 1. INTRODUCTION -- 2. OVERVIEW ON OPTICAL TECHNIQUES AND THEIR APPLICATIONS IN BIOMECHANICS -- 3. MECHANICAL CHARACTERIZATION OF MATERIALS -- 3.1. Simulated Annealing Based Algorithm -- 3.2. In-plane Characterization of Orthotropic Laminates -- 3.3. Characterization of Hyperelastic Membranes -- 3.4. Characterization of Cortical Bovine Bones -- 4. SHAPE RECONSTRUCTION OF VASCULAR GRAFTS -- CONCLUSION -- REFERENCES -- Chapter5HIGH-SPEEDOPTICALMODULATORSANDPHOTONICSIDEBANDMANAGEMENT -- Abstract -- 1.Introduction -- 2.OpticalModulatorsBasedonPhaseModulation -- 2.1.PhaseModulator -- 2.2.IntensityModulator -- 2.3.SSBModulator -- 2.4.FSKModulator -- 2.5.PSKModulator -- 3.ElectrodeDesignforHigh-SpeedSignals -- 3.1.AsymmetricResonantStructure[5] -- 3.2.Dual-StubStructure[6] -- 3.3.NumericalandExperimentalResults. 4.PhotonicSidebandManagement(PSBM)Techniques -- 4.1.IM/FSKModulationandOLSUsingDouble-SidebandModulation[8] -- 4.2.ReciprocatingOpticalModulation[14] -- 4.3.OpticalTunableDelayLineUsingSSBModulation[15] -- References -- Chapter6TOWARDSSHAPINGOFPULSEDPLANEWAVESINTHETIMEDOMAINVIACHIRALSCULPTUREDTHINFILMS -- Abstract -- 1.Introduction -- 2.Theory -- 2.1.ChiralSTFConstitutiveRelations -- 2.2.DerivationofMatrixPartialDifferentialEquation -- 2.3.Finite-DifferenceAlgorithm -- 2.4.InitialandBoundaryConditions -- 2.5.ParameterValues -- 3.Half-SpaceProblems -- 3.1.PulseBleedingandtheLightPipe -- 3.2.EffectsofCarrierPhase -- 4.Finite-ThicknessProblems -- 4.1.RipeningoftheCBP -- 4.2.VideopulsePropagation -- 5.Conclusion -- Acknowledgments -- References -- INDEX. EBL201812 SzGeCERN Engineering BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4871876 ebook n 201850 21 PUBLIC https://catalogue.library.cern/legacy/2651506 BOOK MIGRATED 2651499 SzGeCERN 20210421203824.0 9781536115369 electronic version electronic version 9781612095004 electronic version electronic version 9781612095004 print version oai:cds.cern.ch:2651499 cerncds:BOOK EBL 4871710 eng CD3024.N385 2011 025.1/9673 Robinson, Ethan M National archives and records administration Hauppauge Nova Science Publishers 2011 187 p ebook Government procedures and operations Intro -- Contents -- Preface -- National Archives and Records Administration:Oversight and Management Improvements Initiated, but More Action Needed -- Why GAO Did This Study -- What GAO Recommends -- What GAO Found -- Abbreviations -- Background -- NARA Organization and Functions -- Organizations Primarily Responsible for Federal Records Management and Preservation -- NARA Funding and Allocation of Budget Authority -- NARA's Responsibilities for Records Management and Preservation -- Responsibility for Records Management Is Shared across the Govern-ment -- NARA Must Approve Disposition of Federal Records -- NARA Is Responsible for Preservation of Permanent Records -- We Have Previously Reported on NARA's Challenges and Federal Records Management -- NARA is Improving its Oversight Activity, but More Remains to Be Done -- NARA Uses Surveys, Studies, and Inspections to Assess Governmentwide Records Management, but Limitations Remain to Be Addressed -- NARA Has Shifted Efforts from Records Management Studies to Targeted Inspections, but Inspection Plans Are Limited and Still Under Development -- NARA Is Addressing the Problem of Unscheduled Records, but Faces Backlogs in Approving Schedules -- NARA's Ability to Preserve Federal Records Is Strained by Volume of Records, Finite Resources, and Technology -- The Volume of Physical Records Needing Preservation Actions Has Led to Large Backlogs -- Electronic Records Preservation Will Remain a Challenge -- In Key Management Areas, NARA Has Policies and Procedures that Are Consistent with Its Strategic Planning, although Gaps Remain -- NARA has Policies and Procedures Defining Key Aspects of Governance, but it Lacks an Enterprise Risk Management Capability -- NARA's Lines of Responsibility Are Generally Aligned with Its Strategic Planning -- NARA Does Not Manage Enterprise Risk on a Continuous Basis. NARA Is Addressing Human Capital Issues, but Implementation of Strategic Human Capital Management Is Only Beginning -- NARA Engages in Collaborative Efforts That Further Strategic Goals -- Conclusions -- Recommendations for Executive Action -- Appendix I: Objectives, Scope, and Methodology -- Appendix II: Comments from the National Archives and Records Administration -- End Notes -- Information Security:National Archives and Records Administration Needs to Implement Key Program Elements and Controls -- Why GAO Did This Study -- What GAO Recommends -- What GAO Found -- Abbreviations -- Background -- NARA Is a Key Steward of Federal Records -- NARA Relies on Information Systems to Accomplish Its Mission -- NARA's Information System Security Program -- Control Weaknesses Threaten Record Retention -- NARA Did Not Fully Implement Access Controls -- NARA Did Not Always Protect Network Boundaries -- Users Were Not Always Properly Identified and Authenticated -- Authorizations Provided Users with More Access than Necessary for Their Jobs -- NARA Did Not Always Use Encryption to Effectively Protect Sensitive and Critical Information -- Network Monitoring Was Not Consistently Implemented -- Deficient Physical Security and Environmental Safety Controls Reduced Their Effectiveness -- Weaknesses in Other Controls Increase Risk -- Configuration Management Controls Were Not Sufficient -- NARA Did Not Consistently Test Equipment Used to Sanitize Media -- Personnel Security Controls Are in Place -- Incompatible Duties Were Not Always Effectively Segregated -- NARA Has Not Fully Implemented All Elements of Its Information Security Program -- NARA Developed Risk Assessments but Inconsistently Implemented Risk-Related Procedures -- NARA's Policies and Procedures Were Not Always Consistent with Federal Guidance. Security Plans Contained Varying Levels of Information and Did Not Always Address Required Controls -- Security Awareness Training and Specialized Security Training Were Not Effectively Tracked -- NARA Did Not Fully Test Controls -- Remedial Action Plans Were Not Reliably Maintained -- Security Incident Tracking Was Inconsistent -- Contingency Plans Were Developed for Most Systems -- Conclusions -- Recommendations for Executive Action -- Appendix I: Objective, Scope, and Methodology -- Appendix II: NARA Organizational Chart -- Appendix III: Comments from the National Archives and Records Administration -- End Notes -- National Archives:Progress and Risks in Implementing its Electronic Records Archive Initiative -- Why GAO Did This Study -- What GAO Found -- Background -- NARA Has Completed Two of Five ERA Increments, but Also Experienced Schedule Delays and Cost Overruns While Deferring Functionality -- NARA Faces Several Significant Risks to the Successful Completion of ERA -- Implementation of GAO's Recommendations Could Reduce Risks -- Contact and Staff Acknowledgments -- End Notes -- Information Management: Challenges in Implementing an Electronic Records Archive -- Why GAO Did This Study -- What GAO Found -- Results in Brief -- Background -- NARA Is Working to Overcome ERA Schedule Delays through Parallel Development Projects, but Uncertainties Remain -- ERA Base System Is Generally on Schedule to Achieve IOC, but Testing Delays Are a Risk -- EOP System Is Being Developed, but Completing the Development in Time for the Presidential Transition Is Uncertain -- End Notes -- Statement of Paul Brachfeld, Inspector General, National Archives and Records Administration, before the Senate Homeland Security and Government Affairs Committee, Hearing on "National Archives Oversight: Protecting Our Nation's History for Future Gen... Electronic Records Archive -- White House E-Mail Records -- Statement of Patrice McDermott, Director, OpenTheGovernment.org, before the Senate Homeland Security and Government Affairs Committee, Hearing on "National Archives Oversight: Protecting our Nation's History for Future Generations" -- Office of Government Information Services -- Controlled Unclassified Information (CUI) Implementation Office -- Records and E-Records Management -- Snapshot of Executive Branch Web Pages -- Digitization -- End Notes -- Statement of Thomas Blanton, Director, National Security Archive, George Washington University, before the Senate Homeland Security and Government Affairs Committee, Hearing on "National Archives Oversight: Protecting our Nation's History for Future G... -- Biography of Thomas Blanton -- End Notes -- Testimony of Dr. James S. Henderson, Representing the Society of American Archivists, before the Senate Homeland Security and Government Affairs Committee, Hearing on "National Archives Oversight: Protecting our Nation's History for Future Generations" -- Managing Federal Electronic Records -- The National Historical Publications and Records Commission -- NHPRC and Electronic Records -- Freedom of Information -- The Continuing Opportunity and Challenge -- Testimony of Dr. Martin J. Sherwin, Representing the National Coalition for History, before the Senate Homeland Security and Government Affairs Committee, Hearing on "National Archives Oversight: Protecting our Nation's History for Future Generations" -- The Stakes for Democracy and Presidential Records -- Presidential Transition and Missing White House E-mails -- Resources -- National Historical Publications and Records Commission (NHPRC) -- The Need for Additional Archival Staff -- Recommendations for Expediting Research at NARA Facilities -- Chapter Sources -- Index. EBL201812 Information Tranfer and Management SzGeCERN BOOK Turner, Amanda P https://cds.cern.ch/auth.py?r=EBLIB_P_4871710 ebook n 201850 21 PUBLIC https://catalogue.library.cern/legacy/2651499 BOOK MIGRATED 2651496 SzGeCERN 20210421203825.0 9781536113907 electronic version electronic version 9781616682484 electronic version electronic version 9781616682484 print version oai:cds.cern.ch:2651496 cerncds:BOOK EBL 4871622 eng TK2980.S767 2010 621.31259999999997 Glasby, Edward T Storage and reliability of electricity Hauppauge Nova Science Publishers 2011 208 p ebook Energy science, engineering and technology Intro -- STORAGE AND RELIABILITY OF ELECTRICITY -- STORAGE AND RELIABILITY OF ELECTRICITY -- CONTENTS -- PREFACE -- Chapter 1 MODELING THE BENEFITS OF STORAGE TECHNOLOGIES TO WIND POWER -- 1. INTRODUCTION -- 2. REEDS OVERVIEW -- 3. STORAGE IN REEDS -- 4. BUSINESS-AS-USUAL SCENARIOS -- 5. 20% WIND BY 2030 SCENARIOS -- 6. DIURNAL BEHAVIOR OF STORAGE IN REEDS -- 7. SUMMARY AND CONCLUSIONS -- End Notes -- Chapter 2 BOTTLING ELECTRICITY: STORAGE AS A STRATEGIC TOOL FOR MANAGING VARIABILITY AND CAPACITY CONCERNS IN THE MODERN GRID -- 1. OVERVIEW -- 1.1. Background -- 1.2. Benefits of Deploying Energy Storage Technologies -- 1.3. Distributed vs. Bulk Power Energy Storage -- 1.4. How Much Energy Storage Would be Beneficial? -- 1.5. Objectives of This Report -- 2. ENERGY STORAGE TECHNOLOGY APPLICATIONS -- 2.1. Benefits of Deploying Energy Storage Technologies -- Benefits to transmission and distribution -- Benefits to renewable energy resources -- Benefits to end-use consumers -- Benefits to niche applications -- 2.2. Generation Applications -- 2.3. Transmission and Distribution Applications -- 2.4. End-User Applications -- 3. REGULATORY ISSUES AND POTENTIAL BARRIERS TO DEPLOYING ENERGY STORAGE TECHNOLOGIES -- 3.1. Regulatory Uncertainty -- 3.2. Utility Reluctance -- 3.3. Electricity Pricing and Energy Storage Technologies -- 4. POTENTIAL FOR ENERGY STORAGE IN PLUG-IN HYBRID ELECTRIC VEHICLES -- 4.1. Current Status -- 4.2. A Three-Phase Approach for Future Development -- Phase one -- Uncertain future -- Phase two -- Phase three -- Next steps -- 4.3. Regulatory and Institutional Policy Issues -- 5. MEETING THE MANDATES OF THE ENERGY INDEPENDENCE AND SECURITY ACT OF 2007 -- 5.1. Research & Development Efforts -- 5.2. Applied Research and Demonstration Activities -- 5.3. Recommended Plan for DOE Program Success -- Near-term goals (3-5 years). Mid-term goals (6-12 years) -- Long-term goals (2020 and beyond) -- 6. RECOMMENDATIONS -- 7. REFERENCES -- ACRONYMS -- Endnotes -- Chapter 3 KEEPING THE LIGHTS ON IN A NEW WORLD -- EXECUTIVE SUMMARY -- Demand-Side Resources -- Transmission Adequacy -- Generation Adequacy -- The Need for Swift Action -- Recommendations to DOE -- Transmission -- Generation -- 1. KEEPING THE LIGHTS ON IN A NEW WORLD -- 1.1. Introduction -- 1.2. U.S. Electricity Generation Resources -- 1.3. Characteristics of Resources to Meet Electricity Needs -- Traditional resources -- Coal -- Natural Gas -- Nuclear -- Hydro -- Renewable energy resources -- Wind power -- Solar photovoltaic -- Concentrating solar thermal -- Geothermal -- Biomass -- Demand-side resources -- Energy efficiency -- Demand response / Load management -- Combined heat and power -- 1.4. Transmission Resources -- 1.5. Control Centers -- 1.6. Human Resources -- 1.7. Electric Service Institutions -- Types of electric utilities -- Non-utility power suppliers -- Federal suppliers -- 1.8. Market Structures -- Wholesale Open Access Transmission/Restructuring -- Regional Transmission Organizations -- Retail access -- Mandatory Reliability Standards -- 1.9. Consumer Benefits -- 1.10. The Implications and Planning Challenges of Industry Structure and Institutions -- Resource adequacy -- Climate change -- Realizing the potential of demand response / Load management -- Transmission: the critical link -- Application of new technology -- The human "infrastructure" challenge -- 2. DEMAND-SIDE RESOURCES -- 2.1. Trends, Drivers, and Potential -- Investment growth -- State and regional increases in energy and demand savings -- Increasing policy support -- Complementary policies -- Driving factors -- Future potential -- 2.2. Barriers -- Lack of standardized impact metrics for energy efficiency programs. Utilities may have an economic disincentive to undertake demand- side investments -- State and federal regulations -- Interstate program differences -- Size of the demand-side resources market -- Variable program interest -- Consumer prices do not always reflect market prices -- Market predilection toward supply- side solutions -- Program costs -- Investment uncertainty -- Lack of understanding of energy efficiency technologies -- Advanced metering -- 2.3. Key Considerations -- Integration of demand-side and supply-side resources -- Funding demand-Side resources -- 2.4. Recommendations to DOE -- Develop utility business models and rate- setting approaches that encourage and reward cost-effective demand-side resources -- Expand federal technical assistance to states and utilities -- Allow demand resources to participate in ISO forward capacity markets -- Encourage and assist with regional coordination on demand resources so utilities, states, other program administrators, businesses, and trade allies can more easily work across state/utility territory lines in the same region -- Develop energy-savings targets for utilities and/or state agencies that are based on sound analysis of cost-effective opportunities relative to other resource options and that fairly treat each consumer class -- 3. TRANSMISSION ADEQUACY -- 3.1. Trends and Drivers -- Historical evolution of the grid -- State and regional progress in planning and policy -- Climate change's uncertain impact on transmission planning -- Grid congestion -- The rise of smart grid and increasing use of plug-in vehicles -- Increasing investor interest in transmission projects -- Rising global demand for equipment and labor -- 3.2. Barriers -- Inadequate interregional and long- term transmission planning -- Lack of unified structure to support efficient permitting of EHV transmission lines. Lack of clear cost allocation policies -- Uncertainty regarding cost recovery from retail consumers for transmission projects -- A growing need to optimize grid operation for renewable energy resources -- Inadequate grid controls and communication systems -- Limited development and deployment of new technologies -- Resistance to entry of new companies -- 3.3. Key Considerations -- Addressing climate change -- Recognizing the need for longer- term planning for transmission infrastructure -- Supporting effective methods of sharing costs for regional transmission projects -- Ensuring affordability for consumers -- Advancing automated grid control -- Relieving grid congestion -- Enhancing grid reliability through actual or virtual consolidation of balancing areas -- 3.4. Recommendations To DOE -- 4. GENERATION ADEQUACY -- 4.1. Trends and Drivers -- Adequacy of supply -- Aging plants -- Changing portfolio mix -- More costly plants -- Cost of fuels, transport, and storage -- Reliability and cost challenges for renewable energy resources -- Combined Heat and Power generation -- Distributed generation -- 2010 trends -- 4.2. Barriers -- Achieving economic viability -- Achieving return commensurate with risk -- Overcoming the boom/bust cycle -- Reducing risk by long-term contracts -- Reducing risk by assuring asset cost recovery -- Political and regulatory uncertainty -- Grants and tax incentives -- Climate and environmental issues -- Market or regulatory changes -- Construction, operating, and workforce issues -- Greening generation -- Connecting to the transmission grid -- 4.3. Key Generation Resources and the Challenges They Face -- Biomass -- Clean coal technologies and/or integrated gasification combined cycle plants -- Combined heat and power and distributed generation -- Geothermal -- Hydroelectric -- Natural gas -- Nuclear -- Oil -- Solar -- Wind. 4.4. Recommendations to DOE -- ACRONYMS -- GLOSSARY -- End Notes -- Chapter 4 ELECTRIC POWER STORAGE -- SUMMARY -- INTRODUCTION -- Purpose and Organization -- Notes on Key Power System Concepts -- Power plants and power lines -- Capacity and Energy -- STORAGE TECHNOLOGIES AND APPLICATIONS -- Centralized Bulk Power Storage -- Distributed Power Storage -- Batteries -- Flywheels -- Solar thermal storage -- Residential electricity storage -- Commercial-scale cooling storage -- Storage and the Smart Grid -- BARRIERS AND ISSUES IN DEPLOYING ELECTRIC POWER STORAGE -- Environmental and Cost Factors -- Regulatory Issues -- Regulatory background -- Power market regulation and electric power storage -- Transmission Planning as an Institutional Issue -- ISSUES FOR CONGRESSIONAL CONSIDERATION -- Industry and Regulator Acceptance of Storage -- Executive Agency Focus -- Current Legislation and Incentives -- STORAGE Act -- ACES and ACELA -- End Notes -- CHAPTER SOURCES -- INDEX. EBL201812 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4871622 ebook n 201850 21 PUBLIC https://catalogue.library.cern/legacy/2651496 BOOK MIGRATED 2651485 SzGeCERN 20210421203827.0 9781536114102 electronic version electronic version 9781607413257 electronic version electronic version 9781607413257 print version oai:cds.cern.ch:2651485 cerncds:BOOK EBL 4849233 eng TK1087.R4643 2009 621.31 Ferguson, Mitchell B Renewable energy grid integration Hauppauge Nova Science Publishers, 2011 251 p ebook Environmental remediation technologies, regulations and safety Intro -- RENEWABLE ENERGY GRID INTEGRATION: TECHNICAL PERFORMANCE AND REQUIREMENTS -- RENEWABLE ENERGY GRID INTEGRATION: TECHNICAL PERFORMANCE AND REQUIREMENTS -- CONTENTS -- PREFACE -- Chapter 1 TRANSMISSION SYSTEM PERFORMANCE ANALYSIS FOR HIGH-PENETRATION PHOTOVOLTAICS -- List of Acronyms -- Executive Summary -- 1.0 Introduction -- 2.0 Project Approach -- 2.1 Transmission System -- 2.1.1 Steady-State Database -- 2.1.2 Dynamic Database -- 2.1.3 Validation Runs -- 2.1.4 Model Modification -- 2.1.4.1 Load busses -- 2.1.4.2 Governors -- 2.2 Aggregated PV Representation -- 2.2.1 Photovoltaic Module Representation -- 2.2.2 Boost Converter -- 2.2.3 Active Power Control -- 2.2.4 Photovoltaic Inverter Model -- 2.2.5 Active Anti-Islanding -- 2.2.6 Phase-Locked-Loop -- 2.2.7 Voltage Control -- 2.2.8 Sensitivity of Photovoltaics to Voltage Sags -- 2.2.9 Photovoltaics Model Verification -- 2.3 Case Studies -- 2.3.1 Contingencies -- 2.3.2 Study Scenarios -- 3.0 Project Results -- 3.1 Study Scenarios -- 3.2 Study Cases -- 3.2.1 Frequency Performance -- 3.2.1.1 Generation Trip -- 3.2.1.2 Load Trip -- 3.2.2 System Response to Faults -- 4.0 Gap Analysis -- 5.0 Recommendations for Future Research -- Conclusions and Recommendations -- 6.1 Observations of System Aspects -- 6.2 Observations of Photovoltaics Potential Performance -- 6.3 Relevant Aspects That Were not Analyzed -- References -- Appendix A: PSLF Load Flow Results -- Appendix B: Dynamic models -- Appendix C: Modifications to IEEE 39 Bus System -- Load Flow Results of Extended Model -- Governors -- Appendix D: Single Line Diagrams of Starting Scenarios -- Appendix E: PV Model Verification -- Maximum Power Point Tracking -- Frequency Control -- Voltage Control -- Fault Response -- Active Anti-Islanding -- End Note -- Chapter 2 DISTRIBUTED PHOTOVOLTAIC SYSTEMS DESIGN AND TECHNOLOGY REQUIREMENTS. Abstract -- Acknowledgments -- Acronyms -- Executive Summary -- Recommendations -- 1. Introduction -- 2. Status of Photovoltaic System Designs -- 2.1. Grid-Connected with No Storage -- 2.2. Grid-Connected with Storage -- 2.3. Off-Grid with Storage -- 3. Project Approach -- 3.1. Survey of Utility Engineers -- 3.2. Model Results -- 3.3. Description of Issues -- 3.3.1. Voltage Excursions -- 3.3.2. Peak Load Support -- 3.3.3. Distribution Outages -- 3.3.4. Spinning Reserve -- 3.3.5. Frequency Regulation (and Area Regulation) -- 3.3.6. Problems Related to Active Anti-Islanding Methods -- 4. Project Results -- 4.1. Voltage Regulation -- 4.2. Backup Power (Islanding) -- 4.3. Spinning Reserve -- 4.4. Frequency Regulation (and Area Regulation) -- 4.5. Possible Directions for System Design Evolution -- 4.5.1. Communication of Price and Generation Control Signals -- 4.5.1.1. Communication Systems -- 4.5.1.2. Open Standards Institute Seven-Layer Model -- 4.5.1.3. Candidate Communication Solutions -- 4.5.1.4. Signal Classes -- Voltage Regulation -- Peak Shaving (Demand Response) -- Backup Power (Intentional Islanding) -- Spinning Reserve -- Frequency Regulation (and Area Regulation) -- Control Fault Current Modes -- 4.5.1.5. Example Command Sets To Be Sent via Communications -- 4.5.2. Energy Management Systems -- 4.5.2.1 Peak Shaving (Demand Response) -- 4.5.2.2. Other Energy Management System Functions -- 5. Gap Analysis -- 5.1. Voltage Regulation Coordination -- 5.2. Distribution-Level Intentional Islanding (Microgrid) -- 5.3. Controlling Facility Demand and Export by Emergency Management System Integration -- 5.4. Backup Power (Intentional Islanding) -- 5.5. Spinning Reserve -- 5.6. Frequency and Area Regulation -- 5.7. Harmonics -- 5.8. Effect of Distributed Generation on Coordination of Protective Relaying -- 6. Recommendations for Future Research. 6.1. Smart Photovoltaic Systems with Energy Management Systems -- 6.2. Reliability and Lifetime of Inverter/Controllers -- 6.3. Voltage Regulation Concepts -- 6.4. Distribution-Level Intentional Islanding (Microgrid) -- 6.5. Energy Storage -- Conclusions and Recommendations -- References -- Appendix A: High-Penetration PV Survey -- High-Penetration PV Survey Sent to Utility Engineers -- Appendix B: Product Vendors -- Identification of Product Vendors -- Photovoltaic Module Manufacturers -- Power Electronics and System Integration -- Short-Term Energy Storage -- Long-Term Energy Storage -- Distribution -- Chapter 3 DISTRIBUTION SYSTEM VOLTAGE PERFORMANCE ANALYSIS FOR HIGH-PENETRATION PHOTOVOLTAICS -- Acknowledgments -- Executive Summary -- 1.0. Introduction -- 2.0. Current Practice -- 2.1. Distribution System Voltage Control Requirements -- 2.2. Voltage Regulation Methods -- 2.2.1. On-Load Tap-Changing (OLTC) Transformers / Voltage Regulators -- 2.2.2. Switched Capacitor -- 2.3 Inverters' Reactive Power Support -- 3.0. Project Approach -- 3.1. Analysis Approach -- 3.2. Model Development -- 3.2.1. Distribution Feeder Model -- 3.2.2. Component Models -- 3.2.2.1 Primary Circuit -- 3.2.2.2. Load -- 3.2.2.3. Secondary Circuit -- 3.2.2.4. Photovoltaics -- 3.2.2.5. PV inverter Reactive Power (VAR) Support -- 3.2.2.6. OLTC Transformer and SVR -- 4.0. Project Results -- 4.1. Baseline -- 4.1.1. First Baseline Configuration -- 4.1.2. Second Baseline Configuration -- 4.2. Description of the Issue -- 4.3. Results of the Research -- 4.3.1. Assumptions About PV Inverter Capabilities -- 4.3.2. Peak load, 5%, 10%, 30% and 50% Penetration, OLTC + SVR, Inverters Supplying Reactive Power -- 4.3.3 Peak Load, 50% Penetration, OLTC, Inverters Supplying Reactive Power -- 4.3.4 Power Export, 50% Penetration, OLTC, IEEE 1547 Inverters. 4.3.5 Power Export, 50% Penetration, OLTC, Inverters Controlling Feeder Voltage -- 4.3.6 Power Export, 50% Penetration, OLTC, Inverters Supplying Capacitive Reactive Power -- 4.3.7. Power Export, 50% Penetration, OLTC + SVR, Inverters Supplying Capacitive Reactive Power -- 4.3.8. Power Export, 50% Penetration, OLTC, Inverters Controlling Total Service Power Factor -- Conclusions and Recommendations -- References -- Glossary -- End Notes -- Chapter 4 POWER SYSTEM PLANNING: EMERGING PRACTICES SUITABLE FOR EVALUATING THE IMPACT OF HIGH-PENETRATION PHOTOVOLTAICS -- Acknowledgments -- Executive Summary -- 1.0. Introduction -- 2.0. Traditional Practices in Power System Planning -- 2.1. Generation Planning -- 2.1.1. Load Forecasting -- 2.1.2. Relationship Between Capacity Reserves and Reliability -- 2.1.3. Capacity Resource Planning -- 2.2. Transmission Planning -- 2.2.1. Rotor-Angle Stability -- 2.2.1.1. Small Signal Stability -- 2.1.1.2. Transient Stability -- 2.2.2. Voltage Stability -- 2.2.3. Frequency Stability -- 2.3. Distribution System Planning -- 2.3.1. Load Forecasting -- 2.3.2. Planning for Reliability -- 2.3.3. Distribution System Engineering -- 3.0. Project Approach -- 4.0. Impact of High-Penetration Solar PV on -- Power System Planning -- 4.1. Impact of Variable Renewable Energy Generation -- 4.2. Implications for Generation Planning -- 4.2.1. Capacity -- 4.2.2. Characterizing the Net Load -- 4.2.3. Characterizing the Impact on Fuel Mix -- 4.2.4. Generation Flexibility -- 4.2.4.1. Load Following -- 4.2.4.2. Regulation -- 4.3. Implications for Transmission Planning -- 4.3.1. Common Characteristics of PV Inverters -- 4.3.2. PV Inverters' Behavior During Grid Faults -- 4.3.3. Modeling PV Inverters for Transmission Planning -- 4.4. Implications for Distribution Planning and Engineering -- 4.4.1. Feeder Voltage Regulation. 4.4.2. Contributions to Fault Currents and Protection Desensitization -- 4.4.3. Ungrounded Source of Voltage -- 4.4.4. Software Tools Used in Distribution Engineering -- Conclusions and Recommendations -- 5.1. Generation Planning -- 5.1.1. Capacity -- 5.1.2. Flexibility -- 5.2. Transmission Planning -- 5.3. Distribution System Planning -- 5.4. General Recommendations -- References -- End Notes -- Chapter 5 ENHANCED RELIABILITY OF PHOTOVOLTAIC SYSTEMS WITH ENERGY STORAGE AND CONTROLS -- Acknowledgments -- Executive Summary -- 1. Introduction -- 2. Current Status of Existing Research -- 2.1. Distribution Reliability Indices -- 2.2. Residential Load Modeling -- 3. Project Approach -- 3.1. Proposed Reliability Indices -- 3.2. Distribution Reliability Data -- 3.2.1. Outage Duration -- 3.2.2. Outage Timing -- 3.2.3. Outage Frequency -- 3.2.4. Assumptions and Factors Affecting Reliability -- 3.3. Reliability Modeling Approach and Validation -- 3.4. Residential Load Modeling -- 3.4.1. Appliance Load Modeling -- 3.4.2. Generate Appliance Power Values -- 3.4.3. Generate Appliance Runtime Values -- 3.4.4. Generate Appliance Usage for One Week -- 3.4.5. Modeling Results -- 3.4.6. Heating and Cooling Load Modeling -- 3.5. Energy Modeling -- 3.5.1. Battery Energy Storage System -- 3.5.2. Photovoltaics -- 4. Project Results -- 4.1. Community Size and Geographic Region -- 4.2. Battery Size and PV Penetration -- 5. Gap Analysis -- 6. Recommendations for Future Research -- Conclusions and Recommendations -- References -- Chapter 6 RENEWABLE SYSTEMS INTERCONNECTION STUDY: CYBER SECURITY ANALYSIS -- Abstract -- Acknowledgments -- Executive Summary -- 1.0 Introduction -- 2.0 Current Status of Existing Research -- 3.0. Project Approach -- 3.1. Background for Security Discussion -- 3.1.1. Elements of Security -- 3.1.2. Definition of Risk -- 3.1.2.1. Threats. 3.1.2.2. Vulnerabilities. EBL201812 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4849233 ebook n 201850 21 PUBLIC https://catalogue.library.cern/legacy/2651485 BOOK MIGRATED 2651476 SzGeCERN 20210421203828.0 9781536107067 electronic version electronic version 9781536107067 print version 9781536107210 electronic version electronic version oai:cds.cern.ch:2651476 cerncds:BOOK EBL 4849092 eng TP248.B57 541.33 Upton, Charles R Biosurfactants Hauppauge Nova Science Publishers 2017 198 p ebook Chemistry research and applications Intro -- Contents -- Preface -- Chapter 1 -- Surfactin Production from Agro-Industrial Residues: A Review -- Abstract -- Introduction -- Physicochemical Properties -- Producing-Microorganisms -- Bacillus subtilis Producing Surfactin -- Fermentation Processes -- Agro-Industrial Residues for Surfactin Production -- Application of Surfactin -- Anti-Inflammatory Activity -- Antibacterial, Anticancer and Antiviral Activity -- Anti-Adhesive -- Bioremediation -- Biocontrol -- References -- Chapter 2 -- Biosurfactants in the Oil Industry, Forestry and Environmental Pollution -- Abstract -- Introduction -- Surfactants -- Classification of Surfactants -- Anionic Surfactants -- Cationic Surfactants -- Nonionic Surfactants -- Amphoteric (Zwitterionic) Surfactants -- Biosurfactants -- Biosurfactant-Producing Microorganisms -- Biosurfactant Type -- Glycolipids -- Rhamnolipids -- Trehalolipids -- Sophorolipids -- Lipopeptides and Lipoproteins -- Neutral Fatty Acids and Lipids -- Polymeric Biosurfactants -- Classification of Biosurfactants -- Molecular Weight -- Composition and Function of Biosurfactants -- Surface Tension (ST) -- Critical Micelle Concentration (CMC) -- Factors Affecting the Production of Biosurfactants -- Environmental Factors -- Nutritional Factors -- Carbon Source -- Nitrogen Source -- Advantages and Disadvantages of Biosurfactants -- Application of Biosurfactants to Contaminated Environments -- Applications in Enhanced Oil Recovery -- Oil Extraction Stages -- Chemical Methods -- Gas Injection -- Microbial Enhanced Recovery -- Ex Situ Biosurfactant Production -- In Situ Production of Biosurfactants for the MEOR Process -- Applications of Biosurfactants to the Forestry and Agricultural Sectors -- Environmental Bioremediation of Mangrove Forests -- Use in the Forest Industry -- Biosurfactants as Bioinsecticides. Biosurfactants as Herbicides -- Biosurfactants as Biofertilizers -- Field Application -- References -- Chapter 3 -- Treatise in Biosurfactant Production by the Genus Pseudomonas -- Abstract -- 1. Introduction -- 2. Biosurfactant-Producing Microorganisms -- 2.1. Types of Biosurfactant-Producing Microorganisms -- 2.1.1. Bacterial Biosurfactants -- 2.1.2. Yeast Biosurfactants -- 2.1.3. Fungal Biosurfactants -- 2.2. Rhamnolipids-Producing Microorganisms -- 2.3. Role of Biosurfactants in Microbial Growth -- 3. Biosurfactants Market -- 4. Biosurfactants Properties -- 4.1. Surface and Interface Activity -- 4.2. Temperature, pH and Salinity Tolerance -- 4.3. Biodegradability -- 4.4. Low Toxicity -- 4.5. Emulsion Formation -- 4.6. Antiadhesive Agents -- 5. Classification and Chemical Nature of Biosurfactants -- 5.1. Glycolipid -- 5.1.1. Rhamnolipids -- 5.1.2. Trehalolipids -- 5.1.3. Sophorolipids -- 5.2. Lipopeptides and Lipoproteins -- 5.2.1. Surfactin -- 5.2.2. Lichenysin -- 5.3. Fatty Acids, Phospholipids and Neutral Lipids -- 5.4. Polymeric Biosurfactants -- 5.5. Particulate Biosurfactants -- 6. Rhamnolipids (RLS) -- 6.1. Rhamnolipid Biosynthesis -- 6.1.1. Biosynthesis of dTDP-L-Rhamnose -- 6.1.2. Biosynthesis of Lipid Moiety -- 6.1.3. Connection of Sugar and Lipid Moieties -- 6.2. Challenges of Rhamnolipid Production -- 6.2.1. Increasing Production Cost -- 6.2.2. High Downstream Cost -- 6.2.3. Low Productivity -- 6.2.4. Intense Foaming Formation -- 6.2.5. Some of the Promising Biosurfactant Producers Are Opportunistic Pathogens -- 6.2.6. Rhamnolipids Are Produced as a Mixture of Congeners -- 6.3. Potential Applications of Rhamnolipids -- 6.3.1. Rhamnolipids in Food Industry and Preservation -- 6.3.2. Rhamnolipids in Oil Industry and Remediation -- 6.3.3. Rhamnolipids in Cosmetics and Pharmaceutical Industries. 6.3.4. Rhamnolipids in Agriculture and Farming -- References -- Chapter 4 -- Environmental and Health Application of Biosurfactants -- Abstract -- 1. Introduction -- 2. Biosurfactants and Environmental Biotechnology -- 2.1. Organic Contaminants -- 2.1.1. Bioremediation of Oil-Contaminated Soils -- 2.1.2. Bioremediation of Seawater Oil Spills -- 2.1.3. Bioaugmentation and Biostimulation Strategies -- 2.2. Metalic Contaminants -- 2.2.1. Bacterial-Assisted Phytoremediation of Soil-Contaminated by Heavy Metals -- 3. Applications of Biosurfactants in Medical and Pharmaceutical Setting -- 3.1. Control of Microbial Growth -- 3.2. Antitumor and Immunomodulation Activity -- 3.3. Other Potential Health Applications of BS -- 4. Practical Drawbacks and Future Trends -- Acknowledgments -- References -- Chapter 5 -- Limitations of Biosurfactant Strength Produced by Bacteria -- Abstract -- Introduction -- Estimating a Limit to Biosurfactant Strength -- Mechanistic Basis of the Limit -- Evidence for Chemical Diversity amongst the Strongest Biosurfactants -- Conclusion -- Acknowledgments -- References -- Biographical Sketch -- Chapter 6 -- Current Status and Trends in Mannosylerylthritol Lipids: Production, Purification and Potential Applications -- Abstract -- 1. Introduction -- 2. Production -- 2.1. Enzymatic Modifications on Mannosylerythritol Lipids -- 3. Purification -- 3.1. Extraction of Mannosylerythritol Lipids from the Culture Medium -- 3.2. Isolation of Mannosylerythritol Lipids by Thin-Layer Chromatography -- 3.3. Quantification of Mannosylerythritol Lipids by High Performance Liquid Chromatography -- 3.4. Purification of Mannosylerythritol Lipids by Open Column Chromatography -- 4. Applications -- 4.1. Pharmaceutical Uses -- 4.2. Bioremediation -- 4.3. Cosmetic -- 4.4. Other Applications -- 5. Perspectives -- References -- Index -- Blank Page. EBL201812 Chemical Physics and Chemistry SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4849092 ebook n 201850 201812 21 PUBLIC https://catalogue.library.cern/legacy/2651476 BOOK MIGRATED 2651437 SzGeCERN 20210421203835.0 9781536106046 electronic version electronic version 9781536106046 print version 9781536106176 electronic version electronic version oai:cds.cern.ch:2651437 cerncds:BOOK EBL 4789254 eng TD799.85.E3865 2017 621.3815028/6 Zeng, Xianlai E-waste Hauppauge Nova Science Publishers 2017 235 p ebook Waste and waste management Intro -- Contents -- Preface -- Overview of E-Waste and Its Management -- Abstract -- 1.1. Introduction -- 1.2. E-Waste Regulations -- 1.2.1. International Initiatives and Regulations -- 1.2.2. Gaps in Regulations -- 1.2.3. Consumer Participation -- 1.3. Alternative Technologies and Paradigms for Recycling -- 1.3.1. Review for E-Waste Recycling Technology -- Waste PCBs -- Spent RLBs -- Waste Screen Display -- 1.3.2. National Adventures on E-Waste Recycling Technology -- European Union -- Japan -- U.S. -- China -- 1.3.3. The Performance of E-Waste Recycling in Different Countries -- 1.3.4. Toward Standardization of Best Practices -- 1.4. Deleting Toxicity towards Eco-Design -- 1.4.1. Material Substitution -- 1.4.2. Detoxification of E-Waste -- References -- Estimate of the Generation of E-Waste in China -- Abstract -- 2.1. Remaining Problems in e-Waste Dismantling Areas -- 2.1.1. Import of E-Waste -- 2.1.2. Evidence of Environmental and Health Impacts of E-Waste Recycling -- 2.1.3. Cleanup of Contaminated Soils in e-Waste Processing Areas -- 2.2. E-Waste Generation and Flows -- 2.2.1. Overview of Current Estimates -- 2.2.2. Methodology Development -- 1. Determine the Sales of an Electric or Electronic Product in a China over a Time Period -- 2. Determine the Typical Distribution of Lifespan for the Product over a time Period Using Survey-Based Data (but not from Literature) -- 3. Determine the Annual Market Shares for Each Type of Electronic in Terms of 'Sizes' Distribution, and the Unit Weights (Divided by 'Sizes'). Examples are: Screen Inches of Monitor and TVs, Volume (Capacity) of Refrigerator and Washing Machine, and O... -- 4. Determine Median Values of the Material Composition of Products and the Content of Selected Common Metals, Precious Metals, and Less Common Metals in PCBs, CRT Glass and Li-ion Battery. 5. Calculate How Many EoL Products are Predicted to be Generated in a Given Year Using the Sales and Lifespan Information -- Calculate the Weight of Generated Waste by Multiplying Unit Weights and 'Sizes' by the Quantities -- and Calculate the Weight of G... -- 2.2.3. Generation Estimates and Projection -- 2.3. Status e-Waste Recycling Industry and Its Development -- 2.4. Evaluation of the Problematic e-Waste Types and Their Solution -- 2.4.1. Flows of E-Waste -- 2.4.2. Problematic E-Waste -- CRTs -- Printed Circuit Boards -- Brominated Flame Retardants Plastics -- Flat Panel Display -- 2.5. Critical Metals Resource from E-Waste -- 2.5.1. Estimates of Selected Metals -- 2.5.2. Recycling Status -- 2.6. Conclusion -- References -- The Generation and Management Status of Waste Office Equipment -- Abstract -- 3.1. Introduction -- 3.2. Materials and Methods -- 3.2.1. Questionnaire Survey -- 3.2.2. Production and Waste Generation Prediction Methods -- 3.3. Waste Printer Generation -- 3.3.1. Production, Import, and Export -- 3.3.2. Waste Office Equipment Generation -- 3.4. Management and Recycling Status -- 3.4.1. Usage, Collection and Treatment of Waste Printers -- 3.4.2. Usage of Printers in China -- 3.4.3. Collection Channels -- 3.4.4. Treatment and Recycling Status -- (1) Informal Recycling Sector -- (2) Formal Recycling Sector -- (3) Producers -- 3.5. Recycling Technologies -- 3.5.1. Waste Printers Recycling Technologies -- 3.5.2. Ink/Toner Cartridges Recycling Technologies -- (1) Manual Dismantling Technologies -- (2) Mechanical Recycling Technologies -- Waste Toner Cartridges -- Waste Ink Cartridges -- 3.6. Implementation of EPR in China -- (1) Epson (China) -- (2) Canon (Dalian) -- (3) Fuji Xerox (Suzhou) -- 3.7. Conclusion -- References -- The Impact of Technology Innovation on WEEE Management -- Abstract -- 4.1. Introduction. 4.2. The Impact of Technology Innovation on Generation of WEEE -- 4.3. Environmental Performance of Multi-Generation Products System -- 4.4. Methods -- 4.4.1. WEEE Estimation Incorporating Technology Innovation -- 4.4.2Multi-Life Cycle Assessment method -- (1) Definition of Scope and Functional Unit in MLCA -- (2) Integration Model of Life Cycle Inventory Data in MLCA -- (3) Procedures of MLCA -- 4.5. Case Studies -- 4.5.1. Technology Innovation Oriented Estimation of Waste CRT Glass -- (1) Aim, Scope and Assumptions -- (2) Scenario Settings: Different Technology Innovation Speeds -- (A) Scenario A: No Technology Innovation -- B. Scenario B: Actual Technology Innovation -- C. Scenario C: Fast Technology Innovation -- (3) Results -- 4.6. MLCA of Computer Display Products -- 4.6.1 Aim, Scope and Assumptions -- 4.6.2. MLCA Scenarios -- 4.6.3. Results -- 4.7. Discussion -- Conclusion -- References -- Extended Producer Responsibility in Fragmented Value Chain: Governance Challenge to the "Best-of-Two-Worlds" Model -- Abstract -- 5.1. Fragmentation of Production -- 5.2. Integrated Responsibility -- 5.3. Best-of-Two-Worlds Model -- 5.4. Global Exposure of Local Pollution -- 5.5. The Formalization of Imported E-Waste Conversion -- 5.6. Construction of Certified Recycling System through "China WEEE" -- 5.7. Partition between Formal and Informal -- 5.8. Conclusion -- References -- Recovery of Metals from E-Waste by Vacuum Metallurgy -- Abstract -- 6.1. Introduction -- 6.2. Methods -- 6.2.1. Principles of VMS -- 6.2.2. Vacuum Evaporation and Vacuum Sublimation -- 6.2.3. Vacuum Reduction -- 6.3. Recovery of Metals from E-Wastes by VMS -- 6.3.1. Recovery of Pb, Cd from Waste PCBs -- 6.3.2. Recovery of Pb from CRT -- 6.3.3. Recovery of Pb from Lead-Acid Batteries -- 6.3.4. Recovery of Cd from Ni-Cd Batteries -- 6.3.5. Recovery of Hg from Batteries. Recovery of Hg from Zn/MnO2 Batteries -- Recovery of Hg from Mercury Button Cells -- 6.3.6. SepraDyne Separation Process for Recovery of Hg -- 6.3.7. Recovery of Zn from Batteries -- 6.3.8. Recovery of In from LCD -- 6.3.9. Recycling In by Vacuum Chlorinated Separation -- 6.3.10. Recycling In by Vacuum Carbon Reduction -- 6.3.11. Recycling In by Vacuum CO Reduction and Evaporation -- 6.4. Perspectives on VMS -- References -- The Way Forward -- Abstract -- 7.1. Introduction -- 7.2. The Way Forward for Research -- 7.3. The Way Forward for Practice -- References -- About the Editor -- Index. EBL201812 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4789254 ebook n 201850 201812 21 PUBLIC https://catalogue.library.cern/legacy/2651437 BOOK MIGRATED 2651434 SzGeCERN 20210421203836.0 9781536100129 electronic version electronic version 9781536100129 print version 9781536100242 electronic version electronic version oai:cds.cern.ch:2651434 cerncds:BOOK EBL 4789243 eng TJ163.13.A38 2017 621.04200000000003 Acosta, Morena J Advances in energy research Hauppauge Nova Science Publishers 2017 221 p ebook Advances in energy research 25 Intro -- Contents -- Preface -- Stability Assessment Using Direct Methods -- Abstract -- 1. Review of Direct Methods -- 1.1. Lyapunov Theorem Based Direct Methods -- 1.1.1. Energy Integral and Energy Function -- 1.1.2. Modelling Requirements -- 2. Use of Rate of Change of Kinetic Energy -- 2.1. Power Balance Criterion -- 2.2. RACKE Method -- 2.3. IRACKE Method -- 3. Network Reduction Technique -- 3.1. Considerations for Multi-Machine Power Systems -- 3.2. A Method for System Equivalence -- 3.3. Application of IRACKE on Multi-Machine System -- 4. Using RACKE as a Stability Index -- 5. On-Line Dynamic Security Assessment -- Appendix A1 -- Appendix A2 -- References -- Biographical Sketch -- Energy Pivot to Eurasia: Geopolitical Implications of the Energy Reserves in the Caspian Basin -- Abstract -- 1. Introduction -- 2. A Profile of the Caspian Basin -- 2.1. The Caspian Water Plateau -- 2.2. The Inner Circle -- 2.2.1. Russia -- 2.2.2. Iran -- 2.2.3. Azerbaijan -- 2.2.4. Kazakhstan -- 2.2.5. Turkmenistan -- 2.3. The Outer Circle and Other External Actors -- 3. Territorial Disputes -- 3.1. Post-Soviet Border Issues between Caspian Littoral States -- 3.2. Nagorno-Karabakh Conflict -- 3.3. Separatism in Georgia -- 3.4. Conflict Zones in the North Caucasus -- 3.5. Kurdish Separatism in Turkey -- 3.6. General Implications of the Territorial Conflicts -- 4. Other Security Concerns -- 4.1. Terrorism and the Proliferation of WMD -- 4.2. Drug Trafficking -- 4.3. Environmental Security -- 5. Status-Related Disputes -- 5.1. Historical Developments Prior to 1991 -- 5.2. Present Legal Options and Their Implications -- 5.3. Principles of Delimitation -- 5.4. Present and Future Outlook -- The Caspian Summit 2014 -- 6. Risk Analysis of the Caspian Basin -- 7. Energy Reserves and Transportation -- 7.1. Pipeline Strategies. 8. EU-Caspian Relations and Energy Security -- 9. Study Case: Death of the Nabucco Pipeline and the Road Ahead -- 9.1. What Lies in the Caspian Beyond Nabucco and South Stream -- Southern Gas Corridor -- Trans-Caspian Pipeline -- Turkish Stream -- Conclusion -- References -- Biographical Sketches -- An Investigation into the Effect of Various Parameters on the Evaporator Performance -- Abstract -- Nomenclature -- 1. Introduction -- 2. Theoretical Background -- 2.1. The Law of Conversion of Mass -- 2.2. The First Law of Thermodynamics -- 2.3. The Overall Energy Balance -- 3. Experimental Equipment and Procedure -- 3.1. Apparatus -- 3.2. Experimental Procedure -- 4. Results -- 4.1. Overall Mass Balances -- 4.2. Overall Species Balances -- 4.3. Energy Balances over Heating Phase -- 4.4. Energy Balances over Evaporation Phase -- 4.5. Graphs of Temperature vs. Pressure -- D) Duhring Plot -- 5. Discussion -- 5.1. Overall Mass Balance -- 5.2. Overall Species Balance for Water and Glycerol -- 5.3. Heating Phase -- 5.4. Evaporation Phase -- 5.5. Plots and Analysis -- 5.6. Errors of Observation -- Conclusion -- References and Useful Links -- Appendix A: Raw Data -- Heating Phase -- Evaporation Phase -- Variable Pressure Phase -- Collected Masses -- Calibration of Refractometer -- Stream Properties -- Appendix B: Sample Calculations -- Glycerol Mass Balance -- Water Mass Balance -- Steam Coming in to Heat Solution -- Energy Supplied by Steam -- Energy Absorbed by the Glycerol Solution -- 4) Energy Balance on Evaporation Phase -- Refrigeration Cycle and Testing of a Compressor Using the Vapour Compression Cycle -- Abstract -- Nomenclature -- Symbols -- Subscripts -- Greek letters -- Introduction -- Theoretical Background (Sapali 2009 -- Singh et al. 2006 -- Smith et al. 2005) -- Experimental Apparatus -- Specifications -- Experimental Procedure -- Results. Discussion -- Conclusion -- References -- Websites -- Appendix A: The Refrigeration Cycle -- Appendix B: Equipment and Apparatus -- Appendix C: Raw data -- Appendix D: Sample Calculations (Done for Run 1) -- Appendix E: Run Four Redone -- Appendix F: Graphs Plotted -- Appendix G: Properties of Water at Different Temperatures -- Appendix H: PH Diagram -- Static Voltage Stability Enhancements by Incorporating Voltage-Sourced Based Converters in -- Continuation Power Flow -- Index. EBL201812 SzGeCERN Engineering BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4789243 ebook 201812 n 201850 21 PUBLIC https://catalogue.library.cern/legacy/2651434 BOOK MIGRATED 2651423 SzGeCERN 20210421203837.0 9781619427501 electronic version electronic version 9781619427501 print version 9781619427563 electronic version electronic version oai:cds.cern.ch:2651423 cerncds:BOOK EBL 4787153 eng TK5102.5.B763 2012 621.38209172200004 Thompson, Johnathan Broadband in developed countries Hauppauge Nova Science Publishers 2012 199 p ebook Media and communications : technologies, policies and challenges Intro -- BROADBAND IN DEVELOPED COUNTRIES MEASUREMENTS AND ANALYSES -- BROADBAND IN DEVELOPED COUNTRIES MEASUREMENTS AND ANALYSES -- CONTENTS -- PREFACE -- Chapter 1 TELECOMMUNICATIONS: NATIONAL BROADBAND PLAN REFLECTS THE EXPERIENCES OF LEADING COUNTRIES, BUT IMPLEMENTATION WILL BE CHALLENGING∗ -- WHY GAO DID THIS STUDY -- WHAT GAO FOUND -- ABBREVIATIONS -- BACKGROUND -- BROADBAND DEPLOYMENT RATES ARE GENERALLY COMPARABLE ACROSS OECD COUNTRIES, BUT ADOPTION RATES VARY BECAUSE OF COST AND OTHER FACTORS -- Broadband Infrastructure Has Been Deployed to Nearly All Households in Developed Countries despite Significant Demographic and Geographic Differences -- Broadband Adoption Rates Are Variable and Are Affected by Cost and Demographic Factors -- Cost and Demographic Factors Affect Broadband Adoption Rates -- STAKEHOLDERS IN SELECTED COUNTRIES HAVE TAKEN A WIDE VARIETY OF SIMILAR ACTIONS TO INCREASE BROADBAND DEPLOYMENT AND ADOPTION -- All Seven Selected Countries Have Instituted Broadband Plans, and Leaders Have Emphasized Broadband Initiatives -- In All Seven Countries, National or Regional Governments Have Provided Funds for Public/Private Partnerships to Deploy Broadband Infrastructure -- Localities Have Also Used Public/Private Partnerships to Deploy Fiber to Gain Greater Broadband Speed -- Public/Private Partnerships Raise Some Concerns -- Government Officials Say Actions to Increase Competition in Broadband Markets Have Helped to Increase Broadband Adoption by Increasing Consumer Choice and Reducing Prices -- All Seven Countries Have Expanded Online Services to Increase the Usefulness of Broadband -- To Increase Broadband Usage among Targeted Populations, Governments in Several Countries Have Provided Digital Training or Offered Subsidies or Both. RECOMMENDATIONS IN THE NATIONAL BROADBAND PLAN GENERALLY REFLECT SELECTED COUNTRIES' ACTIONS TO INCREASE BROADBAND DEPLOYMENT, USAGE, AND ADOPTION -- Establish Broadband Plans and Provide Leadership to Guide Deployment of Infrastructure -- Provide Government Funding through Public/Private Partnerships -- Promote Competition -- Implement Strategies to Increase the Usefulness of the Internet to the Public -- Provide Digital Literacy Training and Consumer Subsidies -- Implementing the National Broadband Plan Will Be Challenging -- Agency Comments -- APPENDIX I. SCOPE AND METHODOLOGY -- End Notes -- Chapter 2 INTERNATIONAL BROADBAND DATA REPORT* -- SECOND REPORT -- 1. INTRODUCTION -- II. BACKGROUND -- A. Requirements of the BDIA -- B. Data Presented in the 2010 IBDR -- C. Efforts to Improve Data Collection -- D. Data and Analysis for the 2011 IBDR -- III. DISCUSSION -- A. Elements of "Broadband Service Capability" -- 1. Advertised and Actual Speed -- 2. Price -- B. Community-Level Comparisons -- C. Other Relevant Similarities and Differences -- D. Goals for Future Reports -- 1. Factors Affecting Broadband Demand and Supply -- a. Measuring Broadband Penetration and Adoption -- b. Environmental, Demographic, and Competitive Effects on Supply and Demand -- c. Government Policies' Effect on Supply and Demand -- d. Other Factors -- 2. The Need for Detailed Disaggregated Data -- 3. Reforming Data Collection Domestically and Internationally -- CONCLUSION -- ORDERING CLAUSE -- APPENDIX A: PUBLIC RECORD -- APPENDIX B: COUNTRIES INCLUDED IN THE IBDR -- APPENDIX C: BROADBAND PRICE DATASET -- APPENDIX D: DEMOGRAPHICS DATASET -- APPENDIX E: MARKET AND REGULATORY BACKGROUND -- 1. Australia -- 2. Austria -- 3. Belgium -- 4. Bulgaria -- 5. Canada -- 6. Chile -- 7. Cyprus -- 8. Czech Republic -- 9. Denmark -- 10. Estonia -- 11. Finland -- 12. France -- 13. Germany. 14. Greece -- 15. Hong Kong -- 16. Hungary -- 17. Iceland -- 18. Ireland -- 19. Italy -- 20. Japan -- 21. Korea -- 22. Latvia -- 23. Lithuania -- 24. Luxembourg -- 25. Malta -- 26. Mexico -- 27. Netherlands -- 28. New Zealand -- 29. Norway -- 30. Poland -- 31. Portugal -- 32. Romania -- 33. Singapore -- 34. Slovak Republic -- 35. Slovenia -- 36. Spain -- 37. Sweden -- 38. Switzerland -- 39. Turkey -- 40. United Kingdom -- APPENDIX F: ACTUAL BROADBAND SPEEDS -- APPENDIX G: ECONOMETRIC ANALYSIS -- End Notes -- INDEX. EBL201812 Engineering SzGeCERN BOOK Cooper, Mickey https://cds.cern.ch/auth.py?r=EBLIB_P_4787153 ebook n 201850 21 PUBLIC https://catalogue.library.cern/legacy/2651423 BOOK MIGRATED 2651418 SzGeCERN 20210421203838.0 9781622577958 electronic version electronic version 9781622577958 print version 9781622577965 electronic version electronic version oai:cds.cern.ch:2651418 cerncds:BOOK EBL 4775316 eng TA1675.A383 2013 621.36599999999999 Arkin, William T Advances in laser and optics research Hauppauge Nova Science Publishers 2013 421 p ebook Advances in laser and optics research 10 Intro -- ADVANCES IN LASER AND OPTICS RESEARCH, VOLUME 10 -- ADVANCES IN LASER AND OPTICS RESEARCH, VOLUME 10 -- CONTENTS -- PREFACE -- Chapter 1 POLARIZATION DEPENDENT EFFECTS IN OPTICAL WAVEGUIDES CONTAINING BRAGG GRATING STRUCTURES -- ABSTRACT -- 1. INTRODUCTION -- 2. BIREFRINGENCE IN FBGS AND WBGS -- 2.1. Sources of Birefringence -- 2.2. Relationship between Birefringence and Spectral PDL of Bragg Gratings in Fibers and Waveguides -- 3. CHARACTERIZATION OF GRATING BIREFRINGENCE -- 3.1. Experiment Setup -- 3.2. UV Induced Birefringence in Fiber Bragg Gratings -- 3.2.1. Growth of Birefringence during Grating Inscription -- 3.2.2. Annealing of UV-Induced Birefringence -- 3.3. High Peak Power IR Laser-Induced Birefringence in FBGs -- 3.3.1. Grating Inscription and Birefringence Monitoring -- 3.3.2. Birefringence in Type I-IR Gratings -- 3.3.3. Birefringence in Type II-IR Gratings -- 3.3.4. Annealing Properties of Birefringence in Type I-IR Gratings -- 3.3.5. Annealing Properties of the Birefringence in Type II-IR Gratings -- 4. COMPENSATION OF THE PLANAR WAVEGUIDE BIREFRINGENCE USING UV LASER EXPOSURE -- 5. THE IMPAIRMENTS OF BIREFRINGENCE IN FBGS AND WBGS IN COMMUNICATION SYSTEMS -- 5.1. Simulation Model -- 5.2. Simulation Result and Discussion -- 5.2.1. Definition and Representation of FBG Birefringence-Induced Power Penalty -- 5.2.2. The Induced Power Penalty of Birefringence in FBGs with Various Index Apodization Profiles -- 5.2.3. FBG Birefringence Induced Power Penalty in the Presence of Wavelength Misalignment -- CONCLUSION -- REFERENCE -- Chapter 2 BACTERIAL CELL INTERACTIONS WITH OPTICAL FIBER SURFACES -- ABSTRACT -- 1. OPTICAL FIBERS -- 2. BACTERIAL ATTACHMENT -- 2.1. Overview -- 2.2. Theoretical Considerations -- 3. EXPERIMENTAL SET-UP -- 3.1. Introduction -- 3.2. Methodology -- 3.2.1. Bacteria -- 3.2.1.1. Bacterial Staining Protocols. 3.2.2. Optical Fibers -- 3.2.2.1. Initial Surface Preparation -- 3.2.2.2. Surface Modification -- 3.2.3. Cultivation Conditions -- 3.2.4. Sample Preparation -- 3.2.5. Analysis of Bacterial and Fiber Surface Characteristics -- 3.2.5.1. Contact Angle Measurements -- 3.2.5.2. Surface Free Energy -- 3.2.5.3. Surface Charge Measurements -- 3.2.5.4. AFM Characterization of the Surface -- 3.2.5.5. TOF-SOMS Analysis of the Fiber Surface Chemistry -- 3.2.5.6. Scanning Electron Microscopy (SEM) -- 3.2.5.7. Confocal Laser Scanning Microscopy (CLSM) -- 3.3. Results -- 3.3.1. Cell Surface Wettability and Charge -- 3.3.2. Substratum Surface Chemistry, Topography and Wettability -- 3.3.3. Bacterial Attachment Patterns on the As-Received and Modified Fiber Surfaces -- 3.3.3.1. Overview -- 3.3.3.2. Bacterial Attachment Pattern -- 3.4. Discussion -- CONCLUSION -- REFERENCES -- Chapter 3 PASSIVELY MODE-LOCKED FIBER LASERS WITH NONLINEAR OPTICAL LOOP MIRRORS -- ABSTRACT -- 1. INTRODUCTION -- 2. FIBER SAGNAC INTERFEROMETER -- 3. MODE-LOCKED FIBER LASER -- 4. DISPERSION IMBALANCED NOLM -- 5. ATTENUATION-IMBALANCED NOLM -- CONCLUSIONS -- ACKNOWLEDGMENT -- REFERENCES -- Chapter 4 OPTICAL BREAKDOWN IN GASES INDUCED BY HIGH-POWER IR CO2 LASER PULSES -- ABSTRACT -- 1. INTRODUCTION -- 1.1. Laser-Induced Breakdown Spectroscopy (LIBS) -- 1.2. Laser Parameters -- 1.3. Focal Properties -- 2. OPTICAL BREAKDOWN IN GASES -- 2.1. LIB Plasma -- 2.2. Initiation Mechanism: Multiphoton Ionization (MPI) and Electron Impact Ionization (EII) -- 2.3. Electron Attachment, Recombination and Diffusion -- 2.4. Optical Breakdown Threshold Intensities -- 2.5. Laser-Plasma Interaction -- 2.6. Absorption Wave Propagation -- 3. LIB PLASMA ANALYSIS -- 3.1. Local Thermodynamic Equilibrium (LTE) -- 3.2. Line Radiation -- 3.3. Continuum Radiation -- 3.4. Line Broadening. Determination of Electron Number Density from Stark Broadening of Spectral Lines -- 3.4.1. Natural Broadening -- 3.4.2. Doppler -- 3.4.3. Pressure Broadening -- 3.4.4. Stark Broadening -- 3.5. Determination of Excitation, Vibrational and Rotational Temperatures -- 3.6. Ionization Degree of the Plasmas: Saha Equation -- 4. EXPERIMENTAL DETAILS -- 5. RESULTS AND DISCUSSION -- 5.1. LIBS of Nitrogen -- 5.2. LIBS of Oxygen -- 5.3. LIBS of Air -- 5.3.1. Temporal Evolution of the LIB Plasma -- 5.3.2. Time of Flight, Velocity, Kinetic Energy and Electron Density -- CONCLUSION -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 5 TOWARDS SHAPING OF PULSED PLANE WAVES IN THE TIME DOMAIN VIA CHIRAL SCULPTURED THIN FILMS -- Abstract -- 1. Introduction -- 2. Theory -- 2.1. Chiral STF Constitutive Relations -- 2.2. Derivation of Matrix Partial Differential Equation -- 2.3. Finite-Difference Algorithm -- 2.4. Initialand Boundary Conditions -- 2.5. Parameter Values -- 3. Half-Space Problems -- 3.1. PulseBleedingandtheLightPipe -- 3.2. EffectsofCarrierPhase -- 4. Finite-Thickness Problems -- 4.1. RipeningoftheCBP -- 4.2. VideopulsePropagation -- 5. Conclusion -- Acknowledgments -- About the Author -- References -- Chapter 6 INTEGRATED OPTICS ON SILICON -- ABSTRACT -- 1. INTRODUCTION -- 2. INTEGRATED OPTICS ON SILICON IN THE VISIBLE RANGE -- 3. CHARACTERISTICS OF WAVEGUIDES IN THE VISIBLE RANGE -- 4. INTEGRATED OPTICAL DEVICES -- 5. OPTOELECTRONIC SYSTEMS ON SILICON -- 5.1. Butt Coupling -- 5.2. Leaky Wave Coupling -- 5.3. Taper Coupling -- 5.4. Coupling by Integrated Mirrors -- 6. MONOLITHIC INTEGRATION OF WAVEGUIDES AND MOS CIRCUITS -- 7. LAYER-ADJUSTED MONOLITHIC INTEGRATION TECHNIQUE -- 8. MODULAR PROCESSING -- 9. MICROMECHANIC ADD -ONS FOR SENSOR APPLICATIONS -- 10. INFRARED LIGHT WAVEGUIDES IN SILICON -- CONCLUSION -- ABOUT THE AUTHOR -- REFERENCES. Chapter 7 COMBINING ENERGY EFFICIENCY WITH AESTHETIC APPEAL USING ADVANCED OPTICAL MATERIALS -- ABSTRACT -- 1. INTRODUCTION AND BACKGROUND -- 1.1. Energy Savings and Building Ambience -- 1.2. Optical Properties and Materials -- 1.3. Polymer Composites and Nano-Structured Materials -- 1.4. Optical Phenomena of Interest for Energy Efficient Materials -- 1.5. Spectral and Directional Issues: The Sun and the Sky -- 2. MATERIALS AND APPLICATIONS -- 3. NANOPARTICLE PLASMON RESONANCES FOR SPECTRAL, DIRECTIONAL AND HAZE CONTROL IN GLAZING AND SKYLIGHTS -- 4. ENERGY EFFICIENT SCATTERING MATERIALS: APPLICATIONS IN ATTRACTIVE LIGHTING DESIGN SKYLIGHTS, DISPLAY, LIGHT MIXING AND HOMOGENIZATION -- 4.1. Sheet and Thin Layer Formats -- 4.2. Integration of Light Transport and Controlled Side Emission Using Doped Polymer Fiber Optic Cable -- 4.3. Energy Efficient Light Mixing and Homogenisation -- 5. ROOF, CAR AND WALL COOLING BASED ON SPECTRALLY SELECTIVE COATINGS AND PIGMENTS -- 5.1. Coloured Solar Reflective Paints -- 5.2. Radiative Cooling Paint and Pigmented Plastic Layers -- CONCLUSION -- ACKNOWLEDGMENTS -- ABOUT THE AUTHOR -- REFERENCES -- Chapter 8 HIGH-SPEED OPTICAL MODULATORS AND PHOTONIC SIDEBAND MANAGEMENT -- Abstract -- 1. Introduction -- 2. Optical Modulators Based on Phase Modulation -- 2.1. Phase Modulator -- 2.2. Intensity Modulator -- 2.3. SSB Modulator -- 2.4. FSK Modulator -- 2.5. PSK Modulator -- 3. Electrode Design for High-Speed Signals -- 3.1. Asymmetric Resonant Structure [5] -- 3.2. Dual-Stub Structure [6] -- 3.3. Numericaland Experimental Results -- 4. Photonic Sideband Management (PSBM) Techniques -- 4.1. IM/FSK Modulation and OLS Using Double-Sideband Modulation [8] -- 4.2. Reciprocating Optical Modulation [14] -- 4.3. Optical Tunable Delay Line Using SSB Modulation [15] -- 4.4. About the Author -- References. Chapter 9 AN OVERVIEW OF OPTICAL SENSORS AND THEIR APPLICATIONS -- ABSTRACT -- 1. INTRODUCTION -- 2. INTENSITY BASED SENSORS -- 2.1. Fabry-Perot Type Sensors -- 2.2. Emission Based Sensors -- 2.3. Differential Absorption Based Sensors -- 2.4. Flourescence Luminsecence Type Sensors -- 2.5. Evanescent Field Sensors -- 2.6. Photometric Sensors -- 3. DISTRIBUTED SENSORS -- 3.1. Rayleigh Scattering Based Sensors -- 3.2. Raman Scattering Based Sensors -- 3.3. Brillouin Scattering Based Sensors -- 3.4. Fiber Bragg Grating Sensors -- 4. INTERFEROMETRIC SENSORS -- 5. SOME OTHER FORMS OF FOSS AND THEIR APPLICATIONS -- 6. FOSS IN THE ENVIRONMENTAL CONTEXT -- 7. THE ROLE OF INTEGRATED OPTIC (IO) TECHNOLOGY IN SENSING APPLICATIONS -- CONCLUSION -- ABOUT THE AUTHORS -- REFERENCES -- Chapter 10 OPTICAL CURRENT SENSORS -- ABSTRACT -- 1. INTRODUCTION -- 2. THE BASIS -- 2.1. Optical Ampere's Circuital Law -- 2.2. The HICOC Condition -- 2.3. Signal Interrogating Schemes -- 3. ALL-FIBER TYPE OCT -- 3.1. Magneto-Optical Properties of SMFs -- 3.2. Practical All-Fiber OCTs -- 4. BULK-OPTIC OCT -- 5. HYBRID TYPE OCT -- 6. OTHER OCTS AND REMARKS -- CONCLUSION -- ABOUT THE AUTHORS -- REFERENCES -- Chapter 11 TWO-DIMENSIONAL PLASMON POLARITON NANOOPTICS BY IMAGING -- ABSTRACT -- INTRODUCTION -- LITHOGRAPHIC NANOSCALE SAMPLE PREPARATION -- LITHOGRAPHIC FLUORESCENCE IMAGING -- LEAKAGE RADIATION IMAGING -- INTERACTION OF SPPS WITH BEAMSPLITTERS -- ELLIPTICAL BRAGG REFLECTORS AND INTERFEROMETER -- LINEAR BRAGG REFLECTOR -- CONCLUSION -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 12 NONLINEAR OPTICAL PROPERTIES OF METAL NANOPARTICLES SYNTHESIZED BY ION IMPLANTATION -- ABSTRACT -- 1. INTRODUCTION -- 2. OPTICS OF METAL NANOPARTICLE COMPOSITES -- 3. NONLINEAR OPTICAL PROPERTIES OF ION-SYNTHESIZED NANOPARTICLES NEAR IR-AREA (1064 NM) -- 3.1. Nonlinear Absorption of MNPs Studied by Z-Scan. 3.2. Nonlinear Refraction of MNPs Studied by Z-Scan. EBL201812 SzGeCERN Engineering BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4775316 ebook 201812 n 201850 21 PUBLIC https://catalogue.library.cern/legacy/2651418 BOOK MIGRATED 2651416 SzGeCERN 20210421203839.0 9781620815632 electronic version electronic version 9781620815632 print version 9781620815687 electronic version electronic version oai:cds.cern.ch:2651416 cerncds:BOOK EBL 4775244 eng TJ277.S743 2012 621.1 Baker, Sadie M Steam systems Hauppauge Nova Science Publishers 2012 191 p ebook Energy science, engineering and technology Intro -- STEAM SYSTEMS PERFORMANCE IMPROVEMENT OPPORTUNITIES -- STEAM SYSTEMS PERFORMANCE IMPROVEMENT OPPORTUNITIES -- CONTENTS -- PREFACE -- Chapter 1 IMPROVING STEAM SYSTEM PERFORMANCE: A SOURCEBOOK FOR INDUSTRY -- QUICK START GUIDE -- Section 1: Steam System Basics -- Section 2: Performance Improvement Opportunities -- Section 3: Where to Find Help -- Appendices -- SECTION 1: STEAM SYSTEM BASICS -- Why Steam? -- Steam System Operation -- Generation -- Distribution -- End Use -- Recovery -- Generation -- Boilers -- Selected Energy Efficiency Practices for Steam Systems and Boiler Operations -- Boiler Insulation -- Boiler Control System -- Boiler Feedwater System -- Boiler Combustion Air System -- Boiler Fuel System -- Boiler Blowdown System -- Distribution -- Selected Energy Efficiency Practices for Steam Distribution Systems -- Piping -- Insulation -- Selected Energy Efficiency Practice for Valves -- Valves -- Steam Separators -- Steam Accumulators -- Steam Traps -- Selected Energy Efficiency Practices for Steam Traps -- Thermostatic Traps -- Mechanical Traps -- Thermodynamic Traps -- Steam Meters -- End Use -- Key End-Use Equipment in Energy Intensive Industries -- Condensers -- Distillation Towers -- Dryers -- Evaporators -- Heat Exchangers -- Reboilers -- Reformers -- Steam Ejectors -- Steam Injectors -- Steam Turbines -- Strippers -- Thermocompressors -- Conditioning and Control Equipment -- Insulation -- Additional Equipment -- Recovery -- Condensate Return Piping -- Insulation -- Condensate Receiver Tanks -- Condensate Pumps -- Flash Steam Vessels -- Condensate Meters -- Filtration/Cleanup Equipment -- SECTION 2: PERFORMANCE IMPROVEMENT OPPORTUNITIES -- Overview -- Energy Efficiency Statistics -- Systems Approach -- Strategic, Performance Improvement Opportunities- Management-Based Systems -- Systems, Standards, and Certification. Management Standard - ISO 50001- Plant-Level Energy Management -- Superior Energy Performancecm -- ASME EA-3 - 2009 - Energy Assessment for Steam Systems ISBN: 9780791832806 -- Common Performance Improvement Opportunities -- End-Use Improvement Opportunities -- Steam System Scoping Tool -- Steam System Survey Guide -- Steam System Assessment Tool -- 3E Plus Insulation Appraisal Software -- NIA's Insulation Energy Appraisal Program (IEAP) -- Steam Tip Sheets -- Steam System Training -- Online Self-Guided Training -- Steam Tool Specialist Training -- Steam System Survey Guide -- Steam System Scoping Tool -- Steam System Assessment Tool -- 3E Plus Training -- Financing Steam System Improvements -- Understanding Corporate Priorities -- Measuring the Dollar Impact of Steam Efficiency -- Financing Steam Efficiency Improvements -- Relating Steam Efficiency to Corporate Priorities -- Call to Action -- Summary -- SECTION 3: WHERE TO FIND HELP -- Advanced Manufacturing Office Overview -- Emerging Technologies -- Energy Management -- Technical Resources -- Software Tools -- News -- AMO Steam-Specific Resources -- Directory of Contacts -- US Department of Energy Advanced Manufacturing Office (AMO) -- Alliance to Save Energy -- American Boiler Manufacturers Association (ABMA) -- Association of Energy Engineers (AEE) -- Association for Facilities Engineering (AFE) -- Boiler Room/Go-Steam Websites -- Council of Industrial Boiler Owners (CIBO) -- National Association of Power Engineers (NAPE) -- National Insulation Association (NIA) -- North American Insulation Manufacturers Association (NAIMA) -- STEAM-LIST -- Resources and Tools -- Books -- American Boiler Manufacturers Association (ABMA) -- Armstrong International, Inc. -- ASHRAE -- Association for Facilities Engineering (AFE) -- GE Water -- Boiler Efficiency Institute -- CANMET Energy Technology Centre. Council of Industrial Boiler Operators (CIBO) -- Energy Institute Press -- The Fairmont Press -- International District Energy Association -- Taylor & Francis Group -- McGraw-Hill -- Nalco Company -- Pennwell Publishing -- Spirax Sarco Application Engineering Department -- TAPPI Press -- TLV Company Ltd. -- Tyco Valve & Controls-Yarway -- OTHER PUBLICATIONS: GUIDES, MANUALS, AND STANDARDS -- American Boiler Manufacturers Association (ABMA) -- American Gas Association (AGA) -- American National Standards Institute (ANSI) -- American Society of Mechanical Engineers (ASME) -- Armstrong International, Inc. -- ASTM International -- British Standards Institution (BSI) -- National Board of Boiler and Pressure Vessel Inspectors -- National Insulation Association (NIA) -- Swagelok Energy Advisors, Inc. (formerly Plant Support & Evaluations, Inc.) -- Process Industry Practices -- Spirax Sarco Application Engineering Department -- TAPPI Press -- Tech Street -- US Army Corps of Engineers -- US Department of Energy Information Bridge -- US Environmental Protection Agency -- Software -- Armstrong International, Inc. -- ChemicaLogic Corporation -- Conserv-It Software -- Control Dynamics, Inc. -- Field Data Specialists, Inc. -- Honeywell Corporation -- KBC -- National Institute of Standards and Technology -- Ogontz Corporation -- Plant Support & Evaluations, Inc. -- Spirax Sarco Application Engineering Department -- Steam Conservation Systems -- Thermon Corporation -- TLV Company, Ltd -- UE Systems -- US Army Construction Engineering Laboratory -- US Department of Energy Advanced Manufacturing Office -- Washington State University-Extension Energy Program -- Tyco Valve & Controls -- Periodicals -- ASHRAE Journal -- Boiler Systems Engineering -- Chemical Engineering -- Chemical Processing -- Consulting-Specifying Engineer -- Control Engineer -- Energy Engineering. Heating/Piping/Air Conditioning, HPAC Engineering -- Industrial Maintenance & Plant Operation (IMPO) -- Mechanical Engineering, American Society of Mechanical Engineers (ASME) -- Plant Engineering -- Plant Services -- Process Heating -- Today's Boiler Magazine -- Reports and Technical Papers -- Armstrong International, Inc. -- GTI -- US Department of Energy Information Bridge -- Training Courses and Technical Services -- AESYS Technologies -- American Boiler Manufacturers Association (ABMA) -- American Society of Mechanical Engineers (ASME) -- Armstrong International, Inc. -- Association of Energy Engineers (AEE) -- Babcock and Wilcox -- Boiler Efficiency Institute -- CDT Micrographics -- Center for Professional Advancement (CFPA) -- Eclipse Combustion, Inc. -- Enercheck Systems -- FIVES North American Combustion -- Johnson Controls Institute -- The National Institute for the Uniform Licensing of Power Engineers, Inc. (NIULPE) -- National Insulation Association (NIA) -- New York State Energy Research and Development Authority (NYSERDA) -- North Carolina State University- Industrial Extension Services -- Power Engineering Training Systems LTD (PanGlobal) -- Schneider Electric/Energy University -- Spirax Sarco -- Steam Conservation Systems -- Steam Economies Company -- Swagelok Energy Advisors, Inc. -- Tyco Valve & Controls -- University of Wisconsin-Madison/Extension -- Multimedia Resources -- Armstrong International, Inc. -- International District Energy Association -- Spirax Sarco Application Engineering Department -- Additional Multimedia Steam Resources -- APPENDIX A: GLOSSARY OF TERMS -- APPENDIX B: STEAM TIP SHEETS -- ACKNOWLEDGMENTS -- End Notes for Section 1 -- Chapter 2 INSPECT AND REPAIR STEAM TRAPS -- EXAMPLE -- STEAM TRAP TESTING FACTS -- RECOMMENDED STEAM TRAP TESTING INTERVALS -- RESOURCES -- SUGGESTED ACTIONS. Chapter 3 INSULATE STEAM DISTRIBUTION AND CONDENSATE RETURN LINES -- EXAMPLE -- INSULATION OPTIMIZATION SOFTWARE AVAILABLE -- USE INSULATING JACKETS -- SUGGESTED ACTIONS -- Chapter 4 USE FEEDWATER ECONOMIZERS FOR WASTE HEAT RECOVERY -- EXAMPLE -- EXHAUST GAS TEMPERATURE LIMITS -- POTENTIAL ECONOMIZER APPLICATIONS -- SUGGESTED ACTIONS -- Chapter 5 IMPROVE YOUR BOILER'S COMBUSTION EFFICIENCY -- COMBUSTION EFFICIENCY -- EXAMPLE -- FLUE GAS ANALYZERS -- OXYGEN TRIM SYSTEMS -- SUGGESTED ACTIONS -- Chapter 6 CLEAN BOILER WATERSIDE HEAT TRANSFER SURFACES -- EXAMPLE -- MONITOR FLUE GAS TEMPERATURE -- PERFORM VISUAL INSPECTIONS -- SUGGESTED ACTIONS -- Chapter 7 RETURN CONDENSATE TO THE BOILER -- EXAMPLE -- CONDENSATE RECOVERY PRODUCES SAVINGS -- SUGGESTED ACTIONS -- End Note -- Chapter 8 MINIMIZE BOILER BLOWDOWN -- EXAMPLE -- AUTOMATIC BLOWDOWN CONTROL SYSTEMS -- CYCLES OF CONCENTRATION -- SUGGESTED ACTIONS -- REFERENCES -- Chapter 9 RECOVER HEAT FROM BOILER BLOWDOWN -- EXAMPLE -- BLOWDOWN ENERGY RECOVERY -- SUGGESTED ACTIONS -- Chapter 10 USE VAPOR RECOMPRESSION TO RECOVER LOW-PRESSURE WASTE STEAM -- EXAMPLE -- CONDUCT A PINCH ANALYSIS -- VAPOR RECOMPRESSION LIMITS -- SYSTEM PRESSURE BOOSTING -- SUGGESTED ACTIONS -- Chapter 11 FLASH HIGH-PRESSURE CONDENSATE TO REGENERATE LOW-PRESSURE STEAM -- EXAMPLE -- PROXIMITY IS A PLUS -- MATCH AVAILABILITY AND USE -- SUGGESTED ACTIONS -- Chapter 12 USE A VENT CONDENSER TO RECOVER FLASH STEAM ENERGY -- EXAMPLE -- DISTILLED WATER RECOVERY -- MATERIALS CONSIDERATIONS -- SUGGESTED ACTIONS -- Chapter 13 USE LOW-GRADE WASTE STEAM TO POWER ABSORPTION CHILLERS -- EXAMPLE -- SUGGESTED ACTIONS -- Chapter 14 BENCHMARK THE FUEL COST OF STEAM GENERATION -- EXAMPLE -- EFFECTIVE COST OF STEAM -- MULTI-FUEL CAPABILITY -- HIGHER VERSUS LOWER HEATING VALUES -- SUGGESTED ACTIONS. Chapter 15 MINIMIZE BOILER SHORT CYCLING LOSSES. EBL201812 Engineering SzGeCERN BOOK Parker, Valerie https://cds.cern.ch/auth.py?r=EBLIB_P_4775244 ebook n 201850 21 PUBLIC https://catalogue.library.cern/legacy/2651416 BOOK MIGRATED 2651414 SzGeCERN 20210421203839.0 9781620814918 electronic version electronic version 9781620814918 print version 9781620814994 electronic version electronic version oai:cds.cern.ch:2651414 cerncds:BOOK EBL 4775233 eng HD9697.L333.B388 2012 621.32000000000005 Bennette, Jasper A Battle of the bulb Hauppauge Nova Science Publishers 2012 183 p ebook Energy policies, politics and prices Intro -- BATTLE OF THE BULB LAMPS, LUMENS AND THE STATE OF THE UNITED STATES LIGHTING MARKET -- BATTLE OF THE BULB LAMPS, LUMENS AND THE STATE OF THE UNITED STATES LIGHTING MARKET -- CONTENTS -- PREFACE -- Chapter 1 LIGHTING INDUSTRY TRENDS -- SUMMARY -- INTRODUCTION -- The Energy Independence and Security Act of 2007 (EISA 2007) -- U.S. Lighting Industry -- ENERGY SAVINGS AND CONSUMER ACCEPTANCE -- NEXT-GENERATION LEDS -- Federal R&D Efforts for LEDs -- LOOKING FORWARD -- APPENDIX. LAMP TYPES EXEMPTED FROM EISA 2007 -- End Notes -- Chapter 2 LIFE-CYCLE ASSESSMENT OF ENERGY AND ENVIRONMENTAL IMPACTS OF LED LIGHTING PRODUCTS. PART I: REVIEW OF THE LIFE-CYCLE ENERGY CONSUMPTION OF INCANDESCENT, COMPACT FLUORESCENT, & LED LAMPS -- EXECUTIVE SUMMARY -- 1. INTRODUCTION -- 2. LIFE-CYCLE ASSESSMENT BACKGROUND -- 2.1. Goal, Scope, and Boundary Definition -- 2.1.1. Life-Cycle Inventory Analysis -- 2.1.2. Life-Cycle Impact Assessment -- 2.1.3. Life-Cycle Interpretation -- 3. LITERATURE REVIEW -- 4. LIFE-CYCLE ENERGY ANALYSIS -- 4.1. Lamp Performance and Functional Unit -- 4.2. Manufacturing Phase -- 4.2.1. Method -- 4.2.2. LED Manufacturing Data Sources -- 4.2.3. LED Package Manufacturing and Process Steps -- 4.2.4. LED Package Energy Estimates -- 4.2.5. Manufacturing Phase Energy Consumption -- 4.3. Transportation Phase -- 4.3.1. Method -- 4.3.2. Transportation Phase Energy Consumption -- 4.4. Use Phase Energy Consumption -- 4.5. Total Life-Cycle Energy Consumption Results -- CONCLUSION -- APPENDIX A. COMPLETE LIST OF LCA STUDIES CONSIDERED -- APPENDIX B. LIST OF STUDIES UTILIZED FOR LIFE- CYCLE ENERGY CONSUMPTION COMPARISON -- APPENDIX C. CALCULATION ASSUMPTIONS AND CONVERSION FACTORS -- REFERENCES -- End Notes -- Chapter 3 2010 UNITED STATES LIGHTING MARKET CHARACTERIZATION -- LIST OF ACRONYMS AND ABBREVIATIONS -- EXECUTIVE SUMMARY. 1. INTRODUCTION -- 2. STUDY SCOPE -- 3. METHODOLOGY -- 3.1. Data Collection -- 3.1.1. National Data Sources -- 3.1.2. Residential Data Sources -- 3.1.3. Commercial and Industrial Data Sources -- 3.1.4. Outdoor Data Sources -- 3.2. Inventory and Energy Use Calculation -- 3.2.1. Buildings Sector Inventory and Energy Use Calculation -- 3.2.1.1. Number of Lamps -- 3.2.1.2. Operating Hours -- 3.2.1.3. Wattage per Lamp -- 3.2.2. Sample Weighting in the Buildings Sector -- 3.2.2.1. Residential Sector -- 3.2.2.2. Commercial and Industrial Sectors -- 3.2.3. Outdoor Inventory and Energy Use Calculation Method -- 3.2.3.1. Airfield Lighting -- 3.2.3.2. Billboard Lighting -- 3.2.3.3. Building Exterior Lighting -- 3.2.3.4. Parking Lighting -- 3.2.3.5. Railway Lighting -- 3.2.3.6. Roadway Lighting -- 3.2.3.7. Sports Lighting -- 3.2.3.8. Traffic Signal Lighting -- 4. LIGHTING INVENTORY AND ENERGY CONSUMPTION ESTIMATES -- 4.1. Cumulative Results -- 4.2. Sector Specific Results -- 4.2.1. Residential Results -- 4.2.2. Commercial Results -- 4.2.3. Industrial Results -- 4.2.4. Outdoor Results -- 4.3. Solid-State Lighting -- 4.4. Lighting Controls -- 5. SUMMARY RESULTS -- 5.1. Lighting Market Characteristics -- 5.2. 2010 Lighting Market Characteristics Compared to 2001 Values -- 6. COMPARISON OF LIGHTING ELECTRICITY CONSUMPTION ESTIMATES -- APPENDIX A. LAMP CATEGORY DESCRIPTIONS -- APPENDIX B. SAMPLE DATASET CHARACTERISTICS -- APPENDIX C. EFFICACY AND WATTAGE ASSUMPTIONS -- APPENDIX D. RESIDENTIAL OPERATING HOURS -- APPENDIX E. SUPPLEMENTARY RESIDENTIAL RESULTS -- REFERENCES -- End Notes -- INDEX. EBL201812 Engineering SzGeCERN BOOK White, Alicia M https://cds.cern.ch/auth.py?r=EBLIB_P_4775233 ebook n 201850 21 PUBLIC https://catalogue.library.cern/legacy/2651414 BOOK MIGRATED 2651413 SzGeCERN 20200501234723.0 9781620814505 electronic version electronic version 9781620814505 print version 9781620814512 electronic version electronic version oai:cds.cern.ch:2651413 cerncds:BOOK EBL 4775229 eng TJ163.2.W563 2012 621.31213600000001 Anderson, Craig Wind and hydropower integration Hauppauge Nova Science Publishers 2012 312 p Energy science, engineering and technology Intro -- WIND AND HYDROPOWER INTEGRATION CONCEPTS, CONSIDERATIONS AND CASE STUDIES -- WIND AND HYDROPOWER INTEGRATION CONCEPTS, CONSIDERATIONS AND CASE STUDIES -- CONTENTS -- PREFACE -- Chapter 1 INTEGRATION OF WIND AND HYDROPOWER SYSTEMS. VOLUME 1: ISSUES, IMPACTS, AND ECONOMICS OF WIND AND HYDROPOWER INTEGRATION∗ -- ACKNOWLEDGMENTS -- LIST OF ACRONYMS -- EXECUTIVE SUMMARY -- Grid Integration Case Studies -- Hydropower Impact Case Studies -- Market and Economic Case Studies -- Results of the Task -- Grid Integration Impacts and Costs -- Hydropower Impacts -- Economics -- 1. BACKGROUND INFORMATION AND OBJECTIVES OF TASK -- 1.1. Electric Utilities and System Operation -- 1.1.1. Electric Utilities and Markets -- 1.1.2. Ancillary Services for Power System Reliability, Security, and Power Quality -- 1.1.3. How Ancillary Services Are Provided -- 1.1.4. Time Frames of System Planning -- 1.1.5. System Resource Adequacy -- 1.2. What is "Wind and Hydropower Integration"? -- 1.3. Task 24 Objectives and Means to Achieve -- 1.3.1. Grid Integration Case Studies -- 1.3.2. Hydro System Impact Case Studies -- 1.3.3. Market and Economic Case Studies -- 1.3.4. Simplified Modeling of Wind-Hydro Integration Potential -- 1.3.5. Results Expected -- 1.4. Report Organization -- 2. WIND ENERGY OVERVIEW -- 2.1. The Value of Wind Energy -- 2.2. Characteristics of Wind Power Variability -- 2.2.1. Variability in the 1-Minute Time Frame -- 2.2.2. Variability in the 10-Minute Time Frame -- 2.2.3. Variability in the 1-Hour Time Frame -- 2.2.4. Variability in the Daily, Seasonal, and Yearly Time Frame -- 2.3. Characteristics of Wind Power Ramping -- 2.4. Impact of Geographic Diversity and Aggregation of Wind Power Plant Output on Wind Power Variations -- 2.5. Wind Power Forecasting and Uncertainty -- 2.6. Capacity Value of Wind Resources -- 2.7. Environmental Attributes. 2.8. Summary of Wind Variability and Uncertainty: Considerations in System Planning and Operation -- 3. HYDROPOWER SYSTEM PLANNING AND OPERATION -- 3.1. Introduction -- 3.2. Types of Hydropower and Energy Storage -- 3.2.1. Hydro Storage -- 3.2.2. Run-of-the-River Hydro -- 3.2.3. Pumped Storage -- 3.2.4. Other Non-Hydropower Storage -- 3.2.4.1. Flow Batteries -- 3.2.4.2. Batteries -- 3.2.4.3. Superconducting Magnetic Energy Storage -- 3.2.4.4. Flywheels -- 3.2.4.5. Compressed Air Energy Storage -- 3.2.4.6. Hydrogen -- 3.2.5. Summary of Storage Options -- 3.3. River Systems -- 3.3.1. Example River System with Multiple Owner/Operators: The Columbia River in the United States and Canada -- 3.3.2. Example River System with a Single Owner/Operator: The Missouri River in the United States -- 3.3.3. Summary of River Systems -- 3.4. Hydropower Generators and Ancillary Services -- 3.5. Multi-Purpose Hydro Facilities -- 3.6. Institutional, Organizational, and Legal Issues Related to Hydropower -- 3.6.1. Example of a Organizational and Legal Complexity: The Colorado River System in the United States -- 3.6.2. Summary -- 3.7. Variability and Uncertainties of Hydro Resource Across Time Frames of Importance in Balancing Area Operation -- 3.8. Planning of the Hydro System -- 3.9. Social and Environmental Impacts -- 3.10. Summary: Hydropower as a Balancing Resource and Energy Storage -- 4. POWER SYSTEM PLANNING AND OPERATION IN SYSTEMS WITH WIND AND HYDROPOWER -- 4.1. Introduction -- 4.2. Wind Power Impacts in Systems with Hydropower -- 4.2.1. Results from Recent Wind Integration Studies -- 4.2.2. Review of Results from IEA Wind Task 25 -- 4.2.3. Wind Integration in Systems with Hydropower: Summary of Results from Participant Case Studies -- 4.2.3.1. Australian Case Studies -- Isolated Tasmanian System -- Tasmanian System Interconnected with Mainland. 4.2.3.2. Canadian Case Studies -- 4.2.3.3. Finnish Case Studies -- 4.2.3.4. Norwegian Case Studies -- 4.2.3.5. Swedish Case Studies -- 4.2.3.6. United States Case Studies -- 4.2.4. Practical System Configuration -- 5. CONCLUSION -- 5.1. Grid Integration Impacts and Costs -- 5.2. Hydropower Impacts -- 5.3. Economics -- 5.4. System Configuration and General Conclusions -- APPENDIX A. BIBLIOGRAPHY OF REPORTS -- REFERENCES -- End Notes -- Chapter 2 INTEGRATION OF WIND AND HYDROPOWER SYSTEMS. VOLUME 2: PARTICIPANT CASE STUDIES∗ -- ACKNOWLEDGMENTS -- LIST OF ACRONYMS -- EXECUTIVE SUMMARY -- 1. INTRODUCTION -- 1.1. Study Methodologies -- 1.2. Wind Penetration and System Flexibility -- 1.3. Report Organization -- 2. AUSTRALIA -- 2.1. Introduction -- 2.2. Hydro Tasmania Case Studies -- 2.2.1. Introduction to Studies -- 2.2.2. Overview of Power System -- 2.2.3. Case Study 1: Large-Scale Wind Integration -- 2.2.4. Study Methodology -- 2.2.4.1. Assumptions -- 2.2.4.2. Limitations -- 2.2.5. Tasmanian System Characteristics -- 2.2.5.1 Frequency -- 2.2.5.2. Fault Level -- 2.2.6. Wind Power Characteristics -- 2.2.7. Wind Generator Dispatching Rules in Australia -- 2.2.8. Wind Power Penetration and System Flexibility -- 2.2.9. Hydro System Characteristics -- 2.2.10. Conclusions -- 2.3. Case Study 2: Wind Firming - Case Study of Costs and Effects to the Hydro Tasmania System -- 2.3.1. Study Methodology -- 2.3.1.1. Assumptions -- 2.3.1.2. Limitations -- 2.3.2. Impacts of Wind Generation -- 2.3.3. Hydro System Characteristics -- 2.3.4. Wind Power Penetration and System Flexibility -- 2.3.5. Conclusions -- 2.3.5.1. Isolated Tasmanian System -- 2.3.5.2. Tasmanian System Interconnected with Mainland -- 2.4. Case Study 3: Inertia Support in a Hydro/Wind/HVDC Hybrid Power System -- 2.4.1. Study Methodology -- 2.4.2. Modeling Assumptions. 2.4.3. Wind Power Characteristics -- 2.4.4. Hydro System Characteristics -- 2.4.5. Wind Power Penetration and Hydro System Flexibility -- 2.4.6. Conclusions -- 3. CANADA -- 3.1. Introduction -- 3.1.1. General Description of Study and Goals -- 3.1.2. Organizations Involved and Who Conducted the Study -- 3.1.3. Why the Study was Performed -- 3.2. Intended Outcomes -- 3.3. Overview of Power System -- 3.3.1. Study Methodology -- 3.3.1.1. Assumptions -- 3.3.1.2. Limitations -- 3.3.2. Wind Power Characteristics -- 3.3.3. Hydro System Characteristics -- 3.3.4. Wind Power Penetration and System Flexibility -- 3.3.5. Wind and Hydro Integration - Benefits and Impacts -- 3.4. Conclusions -- 4. FINLAND -- 4.1. Introduction -- 4.2. Case Study for a Single Power Producer -- 4.2.1. Introduction to Study -- 4.2.2. Overview of Power System -- 4.2.3. Study Methodology -- 4.2.4. Wind Power Characteristics -- 4.2.5. Hydro System Characteristics -- 4.2.6. Wind Power Penetration and System Flexibility -- 4.2.7. Wind and Hydro Integration - Benefits and Impacts -- 4.2.7.1. Step One: Balancing Cost from the Day-Ahead Market -- 4.2.7.2. Step Two: Using Intra-Hour Trading (the Elbas Market operating in Nordic countries) -- 4.2.7.3. Step Three: Using Internal Balancing by Hydropower -- 4.2.7.4. Step four: Passive Internal Balancing Aggregating the Imbalances of Wind with other Imbalances of a Large Producer -- 4.2.8. Summary of Results -- 4.2.9. Conclusions -- 4.3. Market Impacts for Nordic Countries -- 4.3.1. Introduction to Study -- 4.3.2. Overview of Power System -- 4.3.3. Study Methodology -- 4.3.3.1. Assumptions -- 4.3.3.2. Limitations -- 4.3.4. Wind Power Characteristics -- 4.3.5. Hydro System Characteristics -- 4.3.6. Wind Power Penetration and System Flexibility -- 4.3.7. Wind and Hydro Integration - Benefits and Impacts -- 4.3.8. Conclusions. 4.4. Market Impacts for Nordic Countries -- 4.4.1. Introduction to Study -- 4.4.2. Overview of Power System -- 4.4.3. Study Methodology -- 4.4.3.1. Assumptions -- 4.4.3.2. Limitations -- 4.4.4. Wind Power Characteristics -- 4.4.5. Hydro System Characteristics -- 4.4.6. Wind Power Penetration and System Flexibility -- 4.4.7. Wind and Hydro Integration - Benefits and Impacts -- 4.4.8. Conclusions -- 5. NORWAY -- 5.1. Introduction -- 5.2. SINTEF 1: Areas with Limited Power Transfer Capacity -- 5.2.1. Introduction to Study -- 5.2.2. Overview of Power System -- 5.2.3. Study Methodology -- 5.2.3.1. Assumptions and Limitations -- 5.2.3.2. Wind Power Characteristics -- 5.2.4. Hydro System Characteristics -- 5.2.5. Wind Power Penetration and System Flexibility -- 5.2.7. Conclusions -- 5.3. SINTEF 2: Regional Hydro-based Power System with Weak Interconnections -- 5.3.1. Introduction to Study -- 5.3.2. Overview of Power System -- 5.3.3. Study Methodology -- 5.3.3.1. Energy Balance Calculations -- 5.3.3.2. Power Balance Calculations -- 5.3.3.3. Assumptions and Limitations -- 5.3.4. Wind Power Characteristics -- 5.3.5. Hydro System Characteristics -- 5.3.6. Wind Power Penetration and System Flexibility -- 5.3.7. Wind and Hydro Integration - Benefits and Impacts -- 5.3.8. Conclusions -- 6. SWEDEN -- 6.1. Introduction -- 6.2. Case Study for Balancing of Wind Power in One River -- 6.2.1. Introduction to Study -- 6.2.2. Overview of Power System -- 6.2.3. Study Methodology -- 6.2.4. Wind Power Characteristics -- 6.2.5. Hydro System Characteristics -- 6.2.6. Wind Power Penetration and System Flexibility -- 6.2.7. Wind and Hydro Integration - Benefits and Impacts -- 6.2.8. Summary and Conclusions -- 6.3. Case Study for Balancing of Wind Power in North Sweden -- 6.3.1. Introduction to Study -- 6.3.2. Overview of Power System -- 6.3.3. Study Methodology. 6.3.4. Wind Power Characteristics. Howard, Rudolf I https://cds.cern.ch/auth.py?r=EBLIB_P_4775229 ebook ebook EBL201812 Engineering SzGeCERN BOOK n 201850 21 PUBLIC BOOK DELETED 2651406 SzGeCERN 20210421203840.0 9781536104233 electronic version electronic version 9781536104233 print version 9781536104417 electronic version electronic version oai:cds.cern.ch:2651406 cerncds:BOOK EBL 4775071 eng TJ808.R464 2017 621.04200000000003 Kale, Sandip A Renewable energy systems Hauppauge Nova Science Publishers 2016 282 p ebook Renewable energy research, development and policies Intro -- Contents -- Preface -- Exploring the Fundamentals of Solar Photovoltaic Technology and Its Modelling -- Abstract -- 1. Introduction -- 2. Basics of Solar Energy -- 2.1. Solar Radiation -- 2.2. Solar Radiation Data -- 2.3. Irradiance -- 2.4. Irradiation and Peak Sun Hours -- 2.5. Sunpath Diagram -- 2.6. Determination of Sun Location -- a. Altitude -- b. Azimuth -- c. Solar Altitude -- 2.7. Tilting Solar Modules -- 2.8. Magnetic North and True North -- 3. Solar Electricity -- 3.1. Series Circuits -- 3.2. Parallel Circuits -- 3.3. Combination of Series and Parallel Circuits -- 3.4. Remarks I -- 4. Photovoltaic Cell, Module and Array -- 4.1. PV Cells -- a. Characteristics of a Solar Cell -- 4.2. Power Characteristic of a Solar Cell -- a. Fill Factor and Equivalent Solar Cell Circuit -- 4.3. Modules and Arrays -- 4.4. STC and NOCT -- 5. Modelling of a Photovoltaic Cell -- 5.1. Analytical Modelling of Solar Cell Operation -- 5.2. Simulink Modelling of a Solar Module -- 5.3. Factors Affecting the Performance of Solar Cells -- a. Temperature Effect -- b. Irradiance Effect -- 6. Types of Solar Cells -- 6.1. Monocrystalline Solar Cells -- 6.2. Polycrystalline or Multicrystalline Solar Cells -- 6.3. Thin Film Cells -- 6.4. New Trends in Solar Cells Production -- 7. Commercial Modules and Protection Diodes -- 7.1. Existing Standards -- 7.2. Bypass Diodes -- 7.3. Blocking Diodes -- 7.4. Selecting Diodes -- Conclusion -- References -- Emerging Solar PV Technologies: A Paradigm Shift -- Abstract -- 1. Introduction -- 1.1. Fundamentals of Photovoltaic Conversion -- 1.2. The Solar Spectrum -- 2. Solar PV Background -- 2.1. The Dominance of C-Si Photovoltaics -- 3. Disrupting the Traditional Solar PV -- 3.1. Defining the Credentials for the Upcoming Technologies -- 4. Defining the Contenders -- 4.1. Multijunction (Concentrator) Photovoltaics (M-CPV). 4.1.1. Advantages -- 4.1.2. Challenges and Way Ahead -- 4.2. Quantum Dot Sensitized Photovoltaics (QDSPV) -- 4.2.1. Advantages -- 4.2.2. Challenges and Way Ahead -- 4.3. Organic Photovoltaics (OPV) -- 4.3.1. Advantages -- 4.3.2. Challenges and Way Ahead -- 4.4. Perovskites -- 4.4.1. Advantages -- 4.4.2. Challenges and Way Ahead -- 4.5. Graphene -- 4.5.1. Advantages -- 4.5.2. Challenges and Way Out -- 5. The Top - Most PV Technologies of Tomorrow -- 5.1. Identifying the Possible Pathways-Breaking the Shockley Queisser Barrier -- Conclusion -- References -- Study of Performance Analysis of Modern Materials for Transparent Thin Film Solar Cells -- Abstract -- 1. Introduction -- 1.1. Photovoltaic Effect -- 1.2. Power Generation Using P-N Gate and Processing Wafers -- 1.3. Transparent Conductive Films (TCFs) for Solar Cells -- 2. Materials of Thin Films for Solar Windows -- 2.1. Ga-Doped ZnO (GZO) Thin Film -- 2.2. W-Doped In2O3 Thin Films -- 2.3. ZnMgO/ITO Multilayer Thin Films -- 2.4. Cadmium Telluride (CdTe) Thin Film -- 3. Comparative Analysis of Selected Materials -- Conclusion -- References -- Performance Evaluation of a Domestic Passive Solar Food Dryer -- Abstract -- 1. Introduction -- 1.1. From Primitive Drying to Solar Drying -- 1.2. Capturing Solar Energy -- 1.3. Importance of Solar Dried Food -- 2. Materials and Methods -- 2.1. Description of the Solar Food Dryer -- 2.2. Materials Used -- 2.3. Design Consideration -- 2.4. Design Calculations -- 2.5. Construction -- 3. Results -- 4. Discussion -- Conclusion -- References -- Different Techniques for Prediction of Wind Power Generation -- Abstract -- 1. Introduction -- 2. Intelligent Methods -- 2.1. Group Method Data Handing (GMDH) -- 2.2. Elman Neural Network -- 2.3. Genetic Algorithm (GA) -- 2.4. Particle Swarm Optimization (PSO) -- 3. Proposed Methods (GMDH-PSO and GMDH-GA) -- 4. Results. Conclusion -- References -- Performance Evaluation of Wind Farm Clusters -A Methodological Approach -- Abstract -- 1. Introduction -- 2. Criteria for Performance Estimation -- 3. Dimensions for Performance Criteria -- 3.1. Technical Performance Indicator (TePI) -- 3.2. Economic Performance Indicator (EcPI) -- 3.3. Environmental Performance Indicator (EnPI) -- 3.4. Sociological Performance Indicator (SoPI) -- 4. Cluster Performance Index - An Indicator of Cluster Efficiency -- 5. Development of A Multi-Criteria Frame Work for Cluster Performance Estimation -- 6. Comparison of Wind Farms Based on Individual Criterion -- Conclusion -- References -- Dynamic Analysis of a Weak Grid Supplied from Diesel and Wind Generator -- Abstract -- 1. Introduction -- 2. Development of a Mathematical Model -- 3. Computational Aspects -- 4. Dynamical Behaviour of the System at the WECS Connection and Disconnection -- 5. Dynamic Behavior of the System by Wind Fluctuations -- 6. Dynamic Behavior of the System at a Three-Phase Short-Circuit -- 7. Dynamic Behavior of the System at Short-Circuit in the S.G.' s Excitation -- Conclusion -- Nomenclature -- Appendix -- References -- Structural Analysis of Multistorey Vertical Axis Wind Turbine Using Finite Element Method -- 1Department of Mechanical Engineering, MIT Academy of Engineering, Pune, India -- 2Department of Civil Engineering, SVERI's College of Engineering, Pandharpur, India -- Abstract -- Notations -- 1. Introduction -- 2. Multistorey Vertical Axis Wind Turbine -- 3. Analytical Modelling -- 3.1. Aerodynamic Force -- 3.1.1. Gust Factor -- 3.2. Centrifugal Force -- 3.3. Evaluation of Stress and Deflection -- 4. Numerical Analysis -- 4.1. Stress Estimation -- 4.2. Deflection Analysis -- 4.3. Eigen Frequency and Mode Shapes -- Conclusion -- References -- Physical Properties of Biodiesel: Density and Viscosity. Abstract -- 1. Introduction -- 2. Viscosity and Density: Models and Equations -- 3. New Models for Prediction of Density and Viscosity -- 3.1. A New Simple Model for Density -- 3.2. A New Simple Model for Kinematic Viscosity -- 4. Predictive Capability of Model -- 5. Applications of Models -- 5.1. Density of Biodiesel and Its Blends -- 5.2. Kinematic Viscosity of Biodiesels and Its Blends -- Summary -- Acknowledgments -- References -- Investigation on a Low Heat Rejection Engine Using Neem Kernel Oil and Its Methyl Ester as Fuel -- Abstract -- 1. Introduction -- 2. Experimental Test Rig, Instrumentation and Programme -- 3. Results and Discussions -- 3.1. Performance Analysis -- 3.2. Emission Analysis -- 3.3. Combustion Analysis -- Conclusion -- Acknowledgments -- References -- Renewable Energy Conversion and Waste Heat Recovery Using Organic Rankine Cycles -- Abstract -- 1. Introduction -- 2. The ORC Technology -- 2.1. Fluid Selection -- 2.2. Plant Architecture -- 3. ORCs and Renewable Heat Sources -- 3.1. ORC-Biomass Fed System -- 3.1.1. Biomass Direct Combustion -- 3.1.2. Biomass Gasification -- 3.1.3. Biomass Anaerobic Digestion -- 3.1.4. Waste Heat Recovery from Internal Combustion Engines -- 3.2. ORC and Geothermal Energy -- 3.3. ORCs in Solar Applications -- 3.4. Ocean Thermal Energy Conversion Using ORC Turbo generators -- 3.5. Waste Heat Recovery -- 4. ORC Components and Manufacturers -- Conclusion -- References -- Renewable Energy Technologies in Nigeria: Challenges and Opportunities for Sustainable Development -- Abstract -- 1. Introduction -- 2. Nigerian Energy Scenario -- 2.1. An Overview of Power Sector in Nigeria -- 2.2. Electricity Access in Nigeria -- 2.3. Energy Resources in Nigeria -- 3. Sustainable Energy Technology(SET) Development -- 3.1. Challenges for Sustainable Energy Technology Development in Nigeria. 4. Renewable Energy Technologies Deployment -- 4.1. Development of Renewable Energy Technologies in Nigeria -- 4.2. Barriers to Penetration of Renewable Energy Technologies in Nigeria -- 4.2.1. Policy and Regulatory Barriers -- 4.2.2. Financing and Investment Barriers -- 4.2.3. Technological Barrier -- 4.2.4. Limited Public Awareness -- 4.2.5. Standards and Quality Control -- 4.2.6. Inadequate Resource Assessment -- 4.2.7. Intermittency of Resource Availability -- 4.3. Decentralized Renewable Energy Systems -- 4.3.1. Potential to Grow Industrial Clusters and Small Cottage Industries -- 4.3.2. Opportunity to Expand and Refurbish Distribution Networks of the DISCOs -- 4.3.3. Opportunity to Collaborate with State Governments -- 4.3.4. Access to Other Fuel Alternatives -- 4.3.5. Considerable Insulation from the Issues within the NESI -- 4.3.6. Opportunity for Rural Electrification -- 4.4. Policies and Renewable Energy Resources Initiatives -- 5. Recommendations for the Way Forward in Achieving Sustainable Energy -- 5.1. Establishing a Legal and Regulatory Framework -- 5.2. Adoption of Feed - in Tarrifs Scheme -- 5.3. Fiscal Support -- 5.4. Regular Evaluation of Existing Energy Policy and Plans -- 5.5. Increased National Awareness -- 5.6. Investment and Private sector Involvement -- 5.7. Technological and Environmental Support -- 5.8. Renewable Portfolio Standards -- 5.9. International Cooperation -- 5.10. Education and Training -- Conclusion -- References -- About the Editor -- Index. EBL201812 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4775071 ebook n 201850 201812 21 PUBLIC https://catalogue.library.cern/legacy/2651406 BOOK MIGRATED 2651357 SzGeCERN 20200715221056.0 9789401169790 electronic version electronic version 9789401169813 electronic version electronic version 9789401169813 print version oai:cds.cern.ch:2651357 cerncds:BOOK EBL 3567012 eng TK7870.15 .M385 1982 621.381046 Matisoff, Bernard S Handbook of electronics packaging design and engineering Dordrecht Springer 1980 479 p Intro -- PREFACE -- CONTENTS -- 1 ELECTRONICS PACKAGING DESIGN AND ENGINEERING -- 2 PROJECT PLANNING -- 3 HUMAN FACTORS ENGINEERING -- 4 FABRICATION PROCESSES -- 5 MECHANICAL FASTENERS -- 6 HEAT TRANSFER AND THERMAL CONTROL -- 7 SHOCK AND VIBRATION DESIGN -- 8 SUBASSEMBLIES AND ASSEMBLIES -- 9 DESIGN CONSIDERATIONS FOR SPACE ELECTRONICS -- 10 ENVIRONMENTAL PROTECTION -- 11 RADIO FREQUENCY AND ELECTROMAGNETIC SHIELDING -- 12 DESIGN AND DEVELOPMENT OF MINIATURE ELECTRONICS SYSTEMS -- 13 WIRE AND CABling -- 14 MATERIALS AND PROCESSES -- 15 SAFETY -- 16 PRINTED CIRCUITS -- 17 REFERENCE TABLES AND FIGURES -- 18 TERMINOLOGY -- INDEX. https://cds.cern.ch/auth.py?r=EBLIB_P_3567012 ebook ebook EBL201812 Engineering SzGeCERN BOOK n 201850 21 PUBLIC BOOK DELETED 2651342 SzGeCERN 20200610213336.0 9789048155972 electronic version electronic version 9789048155972 print version 9789401725835 electronic version electronic version oai:cds.cern.ch:2651342 cerncds:BOOK EBL 3565925 eng T58.62 .A874 2000 658.403 van Asselt, Marjolein B A Perspectives on uncertainty and risk the prima approach to decision support Dordrecht Springer 2010 443 p Intro -- Contents -- Acknowledgements -- CHAPTER I Introduction and research methodology -- CHAPTER 2 Integrated Assessment -- CHAPTER 3A Uncertainty -- CHAPTER 3B Risk -- CHAPTER 4 Uncertainy and risk in perspective -- CHAPTER 5 Pluralistic framework for integrated uncertainy management and risk analysis (PRIMA) -- CHAPTER 6 Exploring the need for PRIMA a case-study approach -- CHAPTER 7 Searching for uncertainty in RIVM' s Environmental Outlooks -- CHAPTER 8 Exploring PRIMA's first steps in practice the case of the 5th Environmental Outlook -- CHAPTER 9 Perspectives on uncertainty and risk conclusions and discussion -- APPENDIX I -- APPENDIX 2 -- APPENDIX 3. https://cds.cern.ch/auth.py?r=EBLIB_P_3565925 ebook ebook EBL201812 Information Tranfer and Management SzGeCERN BOOK n 201850 21 PUBLIC BOOK DELETED 2649641 20251201182955.0 oai:cds.cern.ch:2649641 cerncds:TALK eng CERN. Geneva Workshop: An engineering perspective on risk assessment: from theory to practice CERN - 80-1-001 - Globe of Science and Innovation - 1st Floor 2018-11-26T11:50:00 2018-11-26T12:10:00 750140c10 Practical approaches to QRA in fire protection engineering. 2018 2018-11-26 1367 Streaming video HSE Workshop Workshop: An engineering perspective on risk assessment: from theory to practice 2018-11-26T11:50:00 <!--HTML-->The goal of this presentation is to discuss QRA methods in the area of fire engineering from own engineering experience and from a wider fire community and literature. QRA usually involves issues such as input data and scenarios, models, uncertainty, sampling techniques and assessment criteria. All these elements are often difficult to address in practical QRA due to lack of data, knowledge or because of stochastic nature of fire events or lack of appropriate tools or models which facilitate such analysis. Typically the first difficulty is to address fire initiation i.e. its frequency and modes. Unfortunately such data is often hard to find for many specific applications. Further progress of analysis depends on the type of event modeling is selected. The least complex approaches involve fault trees, event trees, bow tie and other methods which are also popular in process safety and nuclear engineering. These methods involve some assumptions on probabilities both for protection systems and human response to characterize their performance and reliability. This stage must also include some characterization of the interactions between protection measures. All this event analysis typically requires significant amount of expert judgment. A more quantitative approach involves physical fire modeling of multiple scenarios which is based on models with complexity level that is carefully selected for the problem at hand. In such cases either the whole fire is modeled or only selected fire phenomena which are particularly relevant. Typically the central issue is design fire characteristics – fire spread rate, heat release rate, smoke generation and the resulting fire development and all related events strongly depend on fire input data and their associated uncertainty. Multiple scenario calculations accumulated using some sampling technique such as Monte Carlo can give us risk profiles which are usually more representative in terms of risk than a single scenario calculation. The last stage of QRA involves the assessment and ranking of consequences – typically in terms of human, monetary or environmental losses. A separate issue is the selection of acceptance criteria which must be established or adopted. Very often due to lack of absolute criteria some comparative criteria are used where risk levels are compared with existing standards or legally accepted solutions. Full QRA in fire engineering is a complex process and ideally it should be done using comprehensive engineering tools. Many attempts have been made in this area in fire engineering discipline but there is still a significant need for integrated analytical tools. Some existing tools will be discussed together with some own solutions. CERN 2018 HSE Workshop Event TALK CERN Tofilo, Piotr speaker https://indico.cern.ch/event/750140/contributions/3111371/ Talk details https://indico.cern.ch/event/750140/ Event details MediaArchive /mnt/master_share/master_data/2018/750140c10 Absolute master path MediaArchive /2018/750140c10/750140c10_en.vtt subtitle subtitle English MediaArchive /2018/750140c10/750140c10_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2018/750140c10/thumbs/20181126115643.png pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2018/750140c10/750140c10_desktop_slides_1080p_4000.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 4000 MediaArchive https://lecturemedia.cern.ch/2018/750140c10/750140c10_desktop_slides_360p_800.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 800 MediaArchive https://lecturemedia.cern.ch/2018/750140c10/750140c10_desktop_slides_480p_1000.mp4 video/mp4 Content: presentation. Resolution: 853x480. Baudrate: 1000 MediaArchive https://lecturemedia.cern.ch/2018/750140c10/750140c10_desktop_slides_720p_2000.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 2000 MediaArchive https://lecturemedia.cern.ch/2018/750140c10/750140c10_desktop_camera_1080p_4000.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 4000 MediaArchive https://lecturemedia.cern.ch/2018/750140c10/750140c10_desktop_camera_360p_800.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 800 MediaArchive https://lecturemedia.cern.ch/2018/750140c10/750140c10_desktop_camera_480p_1000.mp4 video/mp4 Content: presenter. Resolution: 853x480. Baudrate: 1000 MediaArchive https://lecturemedia.cern.ch/2018/750140c10/750140c10_desktop_camera_720p_2000.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 2000 jodie.ridewood@cern.ch La Mendola, Saverio CERN 2018-08-13T13:24:00 2018-12-03T12:00:52 PUBLIC INDICO.750140c10 https://videos.cern.ch/legacy/record/2649641 Indico CMTE MIGRATED 2649640 20251201182812.0 oai:cds.cern.ch:2649640 cerncds:TALK eng CERN. Geneva Workshop: An engineering perspective on risk assessment: from theory to practice CERN - 80-1-001 - Globe of Science and Innovation - 1st Floor 2018-11-26T09:20:00 2018-11-26T09:40:00 750140c28 A Scale of Risk: A Multidimensional Evaluation and Comparison of Risks 2018 2018-11-26 1196 Streaming video HSE Workshop Workshop: An engineering perspective on risk assessment: from theory to practice 2018-11-26T09:20:00 <!--HTML-->This presentation offers a conceptual framework for ranking the relative gravity of diverse risks. The framework identifies the different aspects including moral considerations that should inform the evaluation and comparison of diverse risks and in turn shape the decisions for risk mitigation. A common definition of risk includes two dimensions: the probability of occurrence and the associated consequences of a set of hazardous scenarios. This presentation first expands the definition of consequences to include temporal aspects related to the duration of the consequences (which could be shorten by improving the resilience) and puts forward considerations on whose consequences matter. Then, the presentation expands the definition of risk to include a third dimension, namely, the source of a risk. The source of a risk refers to the agent(s) involved in the creation or maintenance of a risk. The source of a risk captures a central moral concern about risks. Finally, a scale of risk is proposed to categorize risks along a multidimensional ranking, based on a comparative evaluation of the consequences, probability, and source of a given risk. A risk is ranked higher on the scale the larger the consequences, the greater the probability, and the more morally culpable the source. The information from the proposed comparative evaluation of risks is targeted to inform the selection of priorities for risk mitigation. CERN 2018 HSE Workshop Event TALK CERN Gardoni, Paolo speaker Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, USA https://indico.cern.ch/event/750140/contributions/3195673/ Talk details https://indico.cern.ch/event/750140/ Event details MediaArchive /mnt/master_share/master_data/2018/750140c28 Absolute master path MediaArchive /2018/750140c28/750140c28_en.vtt subtitle subtitle English MediaArchive /2018/750140c28/750140c28_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2018/750140c28/thumbs/20181126092842.png pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2018/750140c28/750140c28_desktop_slides_1080p_4000.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 4000 MediaArchive https://lecturemedia.cern.ch/2018/750140c28/750140c28_desktop_slides_360p_800.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 800 MediaArchive https://lecturemedia.cern.ch/2018/750140c28/750140c28_desktop_slides_480p_1000.mp4 video/mp4 Content: presentation. Resolution: 853x480. Baudrate: 1000 MediaArchive https://lecturemedia.cern.ch/2018/750140c28/750140c28_desktop_slides_720p_2000.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 2000 MediaArchive https://lecturemedia.cern.ch/2018/750140c28/750140c28_desktop_camera_1080p_4000.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 4000 MediaArchive https://lecturemedia.cern.ch/2018/750140c28/750140c28_desktop_camera_360p_800.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 800 MediaArchive https://lecturemedia.cern.ch/2018/750140c28/750140c28_desktop_camera_480p_1000.mp4 video/mp4 Content: presenter. Resolution: 853x480. Baudrate: 1000 MediaArchive https://lecturemedia.cern.ch/2018/750140c28/750140c28_desktop_camera_720p_2000.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 2000 jodie.ridewood@cern.ch La Mendola, Saverio CERN 2018-08-13T13:24:00 2018-12-03T11:55:56 PUBLIC INDICO.750140c28 https://videos.cern.ch/legacy/record/2649640 Indico CMTE MIGRATED 2654028 SzGeCERN 20190321204929.0 9781785612756 electronic version 9781785612749 electronic version EBL 5611789 eng 621.31244 Kopecek, Radovan Bifacial photovoltaics technology, applications and economics Stevenage Institution of Engineering & Technology 2018 329 p Energy engineering Intro -- Contents -- Acknowledgements -- About the authors -- 1. Introduction (Radovan Kopecek and Joris Libal) -- 1.1 PV 2017 - history, present and future -- 1.1.1 PV becomes the most cost-effective electricity source -- 1.1.2 What PV technology will win at the end? -- 1.2 Bifacial PV 2018 - history, present and future -- 1.2.1 Short bifacial history -- 1.2.2 Bifacial status -- 1.2.3 Bifacial future -- 1.2.4 Changing to cost per kWh thinking instead of cost per Wp mentality -- 1.3 Bifacial book 2018 -- 1.3.1 Latest bifacial publications and presentations -- 1.3.2 Chapters of our bifacial book -- References -- 2. Bifacial cells (Ingrid Romijn, Gaby Janssen, Thorsten Dullweber, Bas van Aken, Naftali Eisenberg, Lev Kreinin, Matthieu Despeisse, Valentin Mihailetchi, Jan Lossen, Wolfgang Jooss and Radovan Kopecek) -- 2.1 Introduction -- 2.2 History of bifacial cells (from 1960 to 2016) -- 2.3 Characteristics of bifacial cells -- 2.3.1 Bifaciality factor -- 2.3.2 Parameters influencing the bifaciality factor j -- 2.3.3 Design of bifacial cells -- 2.4 Characterization of bifacial cells -- 2.4.1 Measuring bifacial cells -- 2.4.2 IV measurements under bifacial irradiation -- 2.5 Different types of bifacial solar cells -- 2.5.1 Heterojunction solar cells -- 2.5.2 n-PERT solar cells -- 2.5.3 p-PERT solar cells -- 2.5.4 p-PERCþ solar cells -- 2.5.5 Bifacial back contact solar cells -- 2.6 Industrial solar cell technology roadmap -- 2.6.1 Industry status in 2017 -- 2.6.2 Solar cell technology predictions (ITRPV) -- References -- 3. Bifacial modules: design options, characterisation and reliability (Andreas Schneider, Bas van Aken, Eric Gerritsen, Jai Prakash, Vahid Fakhfouri, Khoo Yong Sheng and Andreas Halm) -- 3.1 Bifacial PV modules: design and characterisation -- 3.1.1 Design considerations for bifacial modules. 3.1.2 Cell-to-module loss analysis in bifacial PV modules -- 3.2 Optical module design options with bifacial cells and light management -- 3.2.1 Optical module design options with bifacial cells -- 3.2.2 Light management in bifacial modules -- 3.3 Electrical design and interconnect options with bifacial cells: half-cut cells, multi-busbar and multi-wire concepts -- 3.3.1 Multi-busbar interconnection -- 3.3.2 Half cells and smaller -- 3.3.3 Shingles and other stacking options -- 3.3.4 Interconnection of back-contact solar cells -- 3.4 Characterisation of bifacial devices -- 3.4.1 Bifacial I-V characterisation -- 3.4.2 Imaging methods -- 3.4.3 Outdoor measurements on single modules -- 3.5 Modelling of bifacial modules -- 3.5.1 Electrical models -- 3.5.2 Thermal behaviour -- 3.5.3 Optical modelling -- 3.6 Reliability and durability of bifacial modules -- 3.6.1 Effect of higher output current -- 3.6.2 Heat management -- 3.6.3 Selection of module materials for bifacial modules -- 3.6.4 Discussion on current IEC 61215 testing and its suitability for bifacial modules -- 3.6.5 General discussion on safety aspects -- References -- 4. Simulation models for energy yield prediction of bifacial systems (Ismail Shoukry, Djaber Berrian, Joris Libal and Florent Haffner) -- 4.1 Introduction/motivation -- 4.2 Critical review of current status of bifacial simulations -- 4.3 Bifacial gain simulation model -- 4.3.1 Optical model -- 4.3.2 Electrical model -- 4.4 Simulation results -- 4.4.1 South-facing stand-alone bifacial module -- 4.4.2 East-west-facing stand-alone vertical bifacial module -- 4.4.3 Stand-alone bifacial module with horizontal single-axis tracking -- 4.4.4 Bifacial module field -- 4.4.5 Result validation -- 4.5 Tracking of bifacial modules and systems -- 4.6 Summary/outlook -- References. 5. Bifacial PV systems and yield data (bifacial gain) (Markus Klenk, Yannick Veschetti, Radovan Kopecek, Hartmut Nussbaumer, Heiko Hildebrandt and Rob Kreiter) -- 5.1 Introduction -- 5.1.1 Key indicators to analyze the potential advantage of a bifacial system over a monofacial one -- 5.2 Overview about small scale bifacial systems with information concerning the bifacial gain -- 5.2.1 Vertically installed bifacial systems -- 5.3 Bifacial systems with non-standard mounting situation -- 5.3.1 Vertically installed bifacial systems -- 5.3.2 Floating bifacial PV -- 5.4 Overview of large-scale bifacial systems and growth perspectives -- 5.5 Horizontal single-axis tracked bifacial systems -- 5.5.1 Bifacial (nPERT) HSAT system in ''La Silla'' by Enel -- 5.5.2 Bifacial nPERT HSAT PV system by Jolywood using their own nPERT modules -- 5.5.3 Fixed tilt and single-axis tracking of bifacial PERC+ modules by TRINA -- 5.5.4 Fixed tilt and tilted single-axis tracking system with bifacial PERC+ by Longi -- 5.5.5 Tilted vertical single-axis tracking system with bifacial PERC+ by Solar World -- 5.5.6 Summary of tracked bifacial PV systems -- 5.6 What does bifacial gain tell us? How to transfer this to lowest LCOEs? -- 5.6.1 Definition of bifacial gain -- 5.6.2 Examples of bifacial gains: comparison of apples with apples -- 5.6.3 Bifacial applications in reality: comparison of apples with oranges -- 5.6.4 Summary -- 5.7 Conclusion -- References -- 6. Impact of bifaciality on the levelized cost of PV-generated electricity (Joris Libal) -- 6.1 Levelized cost of electricity for photovoltaic systems -- 6.1.1 Introduction -- 6.1.2 Parameters involved in the calculation of the LCOE -- 6.1.3 Risk management in bifacial PV systems -- 6.1.4 Importance of the weighted average cost of capital -- 6.2 Sensitivity study for LCOE of bifacial PV. 6.2.1 General assumptions and LCOE of monofacial PV -- 6.2.2 LCOE of bifacial PV and monofacial PV: sensitivity study -- 6.2.3 Sensitivity analysis: bifacial gain versus ground cover ratio and resulting LCOE -- 6.2.4 Summary -- References -- 7. Importance of bankability for market introduction of new PV technologies (Andre´ Richter) -- 7.1 Value chain and cost types -- 7.2 Measures to calculate PV systems -- 7.3 Energy yield simulation -- 7.4 Risk-the key factor in a project -- 7.5 Risk assessment -- 7.6 Guaranties and warranties -- 7.7 Rating schemes -- 7.8 Summary ''bankability'' -- References -- 8. A ''global'' view on bifacial gain: dependence on geographic location and environmental conditions (Eric Gerritsen, Gaby Janssen and Chris Deline) -- 8.1 Introduction -- 8.2 Some design rules (of thumb) for bifacial PV installations- as presented in the indicated sections of this chapter -- 8.3 Location-specific factors -- 8.3.1 Albedo -- 8.3.2 Latitude -- 8.3.3 Clearness index -- 8.4 Single-module factors -- 8.4.1 Single modules - ground clearance -- 8.4.2 Single module-tilt angle -- 8.4.3 Spacing between cells -- 8.5 System-level configuration and effects -- 8.5.1 Fixed-tilt systems-ground clearance -- 8.5.2 Fixed-tilt systems-tilt angle -- 8.5.3 Fixed-tilt systems-latitude effects -- 8.5.4 Combined empirical formulae -- 8.5.5 Global combined analysis-bifacial irradiance gain for fixed-tilt systems -- 8.6 Single-axis tracking systems -- 8.7 Vertically mounted panels -- 8.7.1 East-west-latitude effects -- 8.7.2 Azimuth angle -- 8.8 Other factors affecting the gain -- 8.8.1 Thermal effects -- 8.8.2 Electrical effects -- 8.9 Summary and outlook -- Glossary of terms -- References -- 9. Summary and outlook (Radovan Kopecek and Joris Libal) -- 9.1 Summary -- 9.2 Outlook -- 9.2.1 Growth of PV -- 9.2.2 Predictions of new cell and module technologies. 9.2.3 Future of bifacial PV -- References -- Index. The book provides an overview of the history, status and future of bifacial PV technology with a focus on crystalline silicon technology, covering the areas of cells, modules, and systems. In addition, topics like energy yield simulations and bankability are addressed. Libal, Joris 9781785612749 print version oai:cds.cern.ch:2654028 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5611789 ebook ebook EBL201901 Engineering SzGeCERN BOOK n 201903 201901 21 PUBLIC BOOK DELETED 2654018 SzGeCERN 20210421203700.0 9780128125397 electronic version electronic version 9780128125397 print version 9780128125403 electronic version electronic version oai:cds.cern.ch:2654018 cerncds:BOOK EBL 5609153 eng 610.28 Segil, Jacob Handbook of biomechatronics San Diego, CA Elsevier Science & Technology 2018 622 p ebook Front Cover -- Handbook of Biomechatronics -- Copyright -- Contents -- Contributors -- Preface -- Part One: Biomechatronic Design and Components -- Chapter One: Introduction -- Contents -- 1. Engineering Approach -- 2. Fusion of Bio and Mechatronics -- 2.1. Manipulation -- 2.2. Locomotion -- 2.3. Sensory Interactions -- 2.4. Processing and Control -- 3. Modeling -- 4. Variability -- 5. Integration -- 6. Anatomy of Design -- 7. Developments in Designs -- 8. Energetic Interactions -- 9. Design Philosophy -- 10. Cohesion in Descriptions -- 11. Mechanism of Interconnections -- 12. General Design Methodology -- 12.1. Modification of Systems Approach -- 12.2. Intuition and Creativity in ICD -- 12.3. Bond Graph Technology in Synthesis -- 12.4. Design Criterion -- 13. Summary -- Further Reading -- Chapter Two: Actuator Technologies -- Contents -- 1. Introduction -- 2. Design Goals of Actuators -- 2.1. Safety -- 2.1.1. Impedance and Compliance -- 2.1.2. Head Injury Criterion -- 2.1.3. Voltage, Current, and Heat -- 2.2. Performance -- 2.2.1. Stall Torque and No-Load Speed Density -- 2.2.2. Torque and Speed Constant -- 2.2.3. Mechanical Power -- 2.2.4. Envelope Visualizations -- 2.2.5. Efficiency -- 2.2.6. Total Weight -- 2.2.7. Summary -- 2.3. Ease of Use -- 3. Types of Biomechatronic Actuators -- 3.1. Motors -- 3.1.1. Electromagnetic Actuators -- 3.1.2. Fluidic Actuators -- 3.1.3. Shape Memory Alloys -- 3.1.4. Electroactive Polymers -- 3.2. Transmissions -- 3.2.1. Linear Transmissions -- 3.2.2. Rotary Transmissions -- 3.2.3. Other Transmissions -- 3.2.4. Variable and Low Impedance -- 4. Purposes of Biomechatronic Actuators -- 4.1. Biological Function Replacement -- 4.2. Biological Function Augmentation -- 5. Conclusion -- References -- Further Reading -- Chapter Three: Sensors and Transducers -- Contents -- 1. Introduction -- 2. Passive Sensors. 2.1. Ruler -- 2.2. Protractor -- 2.3. Goniometer -- 2.4. Lever -- 2.5. Cable -- 3. Simple Sensors -- 3.1. Mechanical Button -- 3.2. Potentiometer -- 3.3. Photoresistor -- 3.4. Hall Effect Sensor -- 3.5. Strain Gauge -- 3.6. Thermistor -- 3.7. Current Sensor -- 3.8. Capacitance Sensor -- 4. Common Sensors -- 4.1. Load Cell/Force Plates -- 4.2. Pressure Sensors -- 4.3. Accelerometer -- 4.4. Inclinometer -- 4.5. Gyroscope -- 4.6. Encoder -- 5. Biological Sensors -- 5.1. Neuromuscular Anatomy -- 5.2. Surface Electromyographic Sensors -- 5.3. Intramuscular EMG -- 5.4. Nerve Cuff -- 5.5. Brain Array -- 6. Other Biological Signal Transducers -- 6.1. Electroencephalography -- 6.2. Electrocardiogram -- 6.3. O2 Light Sensors -- 6.4. Oxygen Consumption Sensor -- 6.5. Eye Movement -- 6.6. IR Body Markers and Camera Tracking Three-Dimensional Motion Capture -- 7. Conclusion -- References -- Further Reading -- Chapter Four: Model-Based Control of Biomechatronic Systems -- Contents -- 1. Biomechatronic System Models -- 1.1. Mechatronic System Modeling -- 1.2. Biomechanical Modeling -- 1.2.1. Inverse Dynamic Simulation -- 1.2.2. Predictive Simulation -- 1.3. Integrated Biomechatronic Models -- 2. Model-Based Control Design -- 2.1. Model-Based Open-Loop Control -- 2.2. Model-Based Closed-Loop Control -- 2.2.1. Linear Control Theory -- Linear-Quadratic Control -- Linear State Estimation -- 2.2.2. Nonlinear Control Theory -- 3. Case Study: Design of Population-Based Electric Power Steering Systems -- 3.1. Introduction -- 3.2. Dynamic Model of Biomechatronic System -- 3.2.1. High-Fidelity Driver-Vehicle Model -- 3.2.2. Simplified Driver-Vehicle Model -- 3.3. Electric Power Steering (EPS) Control Design -- 3.3.1. Steering Feel Optimization Procedure -- 3.4. Simulation Results -- 3.4.1. Driver-Specific EPS Characteristic Curves. 3.4.2. Double Lane-Change Maneuver With Driver-Specific EPS Controller -- 4. Conclusions -- References -- Further Reading -- Part Two: Biomechatronic Devices -- Chapter Five: Biomechatronic Applications of Brain-Computer Interfaces -- Contents -- 1. BCI Modalities and Signals -- 1.1. Electroencephalography -- 1.1.1. EEG Paradigms -- Steady-State Visually Evoked Potentials -- The P300 -- Motor Imagery -- Mental Imagery -- Workload Indicators -- Error-Related Potentials -- 1.1.2. EEG Amplifiers and Electrodes -- 1.1.3. Signal Processing and Pattern Recognition -- 1.2. Electrocorticography and Intracortical Electrodes -- 1.3. Functional Near-Infrared Spectroscopy -- 1.3.1. fNIRS Paradigms -- 1.3.2. Signal Processing and Pattern Recognition -- 1.4. Combining Multiple Sensor Types -- 1.4.1. EEG and fNIRS -- 1.4.2. EEG and EOG -- 1.4.3. EEG and Electromyography -- 1.4.4. EEG/fNIRS and Autonomic Nervous System Responses for Workload Analysis -- 2. Biomechatronic Applications -- 2.1. Control of Powered Wheelchairs -- 2.2. Control of Mobile Robots and Virtual Avatars -- 2.3. Control of Artificial Limbs -- 2.4. Restoration of Limb Function After Spinal Cord Injury -- 2.5. Communication Devices -- 2.6. BCI-Triggered Motor Rehabilitation -- 2.7. Adaptive Automation in Cases of Drowsiness and Mental Overload -- 2.8. Task Difficulty Adaptation Based on Mental Workload -- 2.9. Error-Related Potentials in Biomechatronic Systems -- 2.9.1. Error Correction -- 2.9.2. Error-Driven Learning -- 3. Challenges and Outlook -- 3.1. Improving User Friendliness and Resistance to Environmental Conditions -- 3.2. Interindividual Differences -- 3.3. Training Regimens and User-BCI Coadaptation -- 3.4. Comparison to Other Control Methods -- 3.5. Outlook -- References -- Chapter Six: Upper-Limb Prosthetic Devices -- Contents -- 1. Introduction -- 1.1. History. 1.2. How is Success Defined for Upper-Limp Prosthetics? -- 1.2.1. Voice of Customer (Patient) -- 1.2.2. What Would be Ideal? -- 1.3. Characteristics of a Prosthesis -- 1.3.1. Cosmesis -- 1.3.2. Function: What the Expected Set of Movements Is -- Control Method -- Performance -- 1.4. Types -- 1.4.1. Mechanical-Body Powered -- 1.4.2. Myoelectric -- 1.4.3. Extended Physiological Proprioception -- Cineplasty -- 1.4.4. Many-DoFs -- 1.5. Technologies That Affect Upper-Limb Prostheses -- 1.5.1. Materials -- 1.5.2. Control -- 1.5.3. 3D Printing -- 1.5.4. Actuators -- 1.5.5. MEMS -- 1.5.6. Wireless Power Transfer -- 2. State of the Art -- 2.1. LUKE Arm -- 2.2. Targeted Muscle Reinnervation -- 2.3. Sensing Many-DoFs -- 2.3.1. Artificial Intelligence, Neural Networks, and Pattern Recognition -- 2.4. 3D Prototyping -- 2.5. Osseointegration-Osseoperception -- 2.6. BIONs and IMESs -- 2.6.1. Alfred E. Mann Foundation -- 2.6.2. IMES -- 2.7. Neural Feedback Integration -- 2.7.1. Biomechanics Model -- 2.7.2. Peripheral Nerve Stimulation -- 2.8. Optogenetics -- 2.9. Biomechatronic EPP -- 3. Trends for the Future That Can Enable Biomechatronics Upper-Limb Prostheses -- 3.1. Personalization/3D Printing/Fast Prototyping -- 3.2. Many-DoFs -- 3.3. Osseointegration and Osseoperception -- 3.4. EPP and Biomechatronic EPP -- 3.5. Discussion/Realignment -- 3.5.1. Back to Basics -- History Lesson -- 3.5.1.1. Enable Evolution of Older EPP With Mechatronics -- Authors' Contributions -- References -- Further Reading -- Chapter Seven: Lower-Limb Prosthetics -- Contents -- 1. History -- 2. How is Success Defined for Lower-Limb Prosthetics? -- 2.1. What Would be Ideal? -- 2.1.1. Adjust to Terrain and Task? -- 2.1.2. Enable Nonambulatory Amputees (e.g., Bilateral Transfemoral Amputees) -- 2.1.3. Seamless and Improved Performance -- 3. Needs/Voice of Customer -- 3.1. Stability. 3.2. Walking Speed -- 3.3. Socket Interface Relief of Pressure -- 3.4. Right Shock Absorption -- 4. Walking Theory -- 4.1. Design Intelligence of Human Legs -- 5. Advances in Commercially Available Lower-Limb Prosthetics -- 5.1. Advances in Shock Absorption Prosthetic Legs -- 5.2. Knee Shock Absorbers -- 5.3. Shock Absorbing Pylons -- 5.4. Prosthetic Feet -- 6. State-of-the-Art Research Threads and Enabling Trends -- 6.1. Osseointegration -- 6.2. Inexpensive/Easy and Automated Fabrication -- 6.3. Targeted Muscle Reinnervation -- 6.4. Micromechatronic Devices -- 6.4.1. BIOM Ankle MIT -- 6.4.2. New Active Leg (Vanderbilt) -- 6.5. Artificial Intelligence-Pattern Recognition-Machine Learning-Synergies -- 7. Discussion/Realignment -- Authors Contributions -- References -- Chapter Eight: Upper and Lower Extremity Exoskeletons -- Contents -- 1. Concepts and Fundamentals of Exoskeletons -- 1.1. Definitions -- 1.2. Classification and Applications of Exoskeletons -- 1.2.1. Power Amplifier -- 1.2.2. Telemanipulation -- 1.2.3. Rehabilitation and Motor Training -- 1.2.4. Virtual Reality and Haptics -- 1.3. The Role of Biomechatronics in Exoskeletons -- 2. A Brief History of Exoskeleton Research -- 2.1. Upper Extremity Exoskeletons -- 2.2. Lower Extremity Exoskeletons -- 3. Design and Implementation of Exoskeletons -- 3.1. Kinematics and Dynamics of Exoskeletons -- 3.2. Human Factors and Biomechanics -- 3.3. Technologies in Exoskeletons -- 3.4. Control for Exoskeletons -- 4. Exoskeletons: Challenges and Trends -- 4.1. Applications -- 4.1.1. Medical Applications -- 4.1.2. Nonmedical Applications -- 4.2. Technologies -- 4.2.1. Signal Domain -- 4.2.2. Energy Domain -- 4.2.3. Mechanical Domain -- 4.3. Exoskeleton Design -- 4.4. Control for Exoskeleton -- 5. Conclusion -- References -- Further Reading -- Chapter Nine: Upper Extremity Rehabilitation Robots: A Survey. Contents. EBL201901 Health Physics and Radiation Effects SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5609153 ebook n 201903 201901 21 PUBLIC https://catalogue.library.cern/legacy/2654018 BOOK MIGRATED 2654005 SzGeCERN 20190321204929.0 9780128133071 electronic version 9780128133064 electronic version EBL 5606155 eng 621.042 Khalilpour, Kaveh Rajab Polygeneration with polystorage for energy and chemicals San Diego, CA Elsevier Science & Technology 2018 586 p Front Cover -- Polygeneration with Polystorage: For Chemical and Energy Hubs -- Copyright -- Contents -- Contributors -- Preface -- Chapter 1: Moving Forward to the Past, With Adaptation and Flexibility: The Special Role of Resource Storage -- 1. Three Paradigms in Human Relations With Nature -- 1.1. Paradigm 1: Pre-Industrial Revolution: Adaptation and Flexibility -- 1.2. Paradigm 2: Post-Industrial Revolution: From Flexibility to Baseload -- 2. Environmental Change Crisis -- 2.1. Brief Historical Background on Climate Change Crisis -- 2.2. Global Action Against Climate Change -- 2.3. Practical Solutions for Climate Change Crisis -- 3. Paradigm 3: Recently-Adaptation and Flexibility -- 4. Conclusion -- References -- Chapter 2: The Nexus Era: Toward an Integrated, Interconnected, Decentralized, and Prosumer Future -- 1. Introduction -- 1.1. Connectedness -- 1.2. Decentralization -- 1.3. Integration -- 1.4. Prosumer -- 2. Designing Our Next Sociotechnical Networks -- 2.1. Three Phases in Human and Sociotechnical Networks -- 2.2. Pre-IR: Disconnected, Decentralized, Integrated, Prosumer -- 2.3. Post-IR: Connected, Centralized, Disintegrated, Consumer -- 2.4. The Way Forward: Connected, Decentralized, Integrated, Prosumer -- 3. Some Nexus Issues for Chemical and Energy Industries -- 3.1. From Petroleum Refineries to Integrated Energy and Chemical Polygeneration Complexes -- 3.2. The Era of Energy Hubs With Flexible Energy Vectors -- 3.2.1. Renewable/Nonrenewable -- 3.2.2. Primary and Secondary Energy -- 3.2.3. Energy Carrier -- 3.2.4. Energy Vectors -- 3.3. Integration of Physical Networks and the Energy-Water-Food Nexus -- 3.4. Waste Management: From Open-Cycle Production to Closed Cycle With 6R -- 4. Conclusion -- References -- Further Reading -- Chapter 3: Energy Hubs and Polygeneration Systems: A Social Network Analysis -- 1. Introduction. 1.1. Energy and Sustainability Challenges -- 1.2. History of Hub -- 2. Data Analysis Approach -- 3. Publication Trend of Energy Hubs and Polygeneration Systems -- 3.1. Publications by 1990 -- 3.2. Publications by 2000 -- 3.3. Publications by 2010 -- 3.4. Publications by 2017 -- 4. Conclusion -- References -- Chapter 4: Single and Polystorage Technologies for Renewable-Based Hybrid Energy Systems -- 1. Introduction -- 2. Mechanical Storage -- 2.1. Pumped Hydroelectric Storage -- 2.2. Compressed Air Energy Storage -- 2.3. Flywheel -- 3. Electrochemical Storage -- 3.1. Solid-State Batteries -- 3.1.1. Lead-Acid Battery -- 3.1.2. Li-Ion Battery -- 3.1.3. Na-S Battery -- 3.1.4. Ni-Cd Battery -- 3.1.5. Ni-MH Battery -- 3.2. Flow Battery -- 3.2.1. Vanadium Redox Flow Battery -- 3.2.2. Zinc-Bromine (ZnBr) Flow Battery -- 3.2.3. Polysulfide-Bromine (PSB) Flow Battery -- 4. Electrical Storage -- 4.1. Supercapacitors -- 4.2. Superconducting Magnetic Energy Storage -- 5. Thermal Energy Storage -- 5.1. Sensible Heat Energy Storage -- 5.2. Latent Heat Energy Storage -- 5.3. Thermochemical Heat Energy Storage -- 6. Chemical Energy Storage -- 6.1. Hydrogen Storage -- 6.1.1. Compressed -- 6.1.2. Liquid -- 6.1.3. Physisorption -- 6.1.4. Chemisorption -- Metal Hydrides -- Complex hydrides -- 6.2. Methane -- 6.3. Methanol -- 6.4. Ammonia -- 7. Hybrid Energy Storage (Polystorage) -- 8. Summary and Conclusions -- References -- Chapter 5: Interconnected Electricity and Natural Gas Supply Chains: The Roles of Power to Gas and Gas to Power -- 1. Natural Gas Supply Chain -- 1.1. Natural Gas Polyutilization and the Challenges -- 1.2. NG Demand-Side Management Issues -- 2. Electrical Energy Supply Chain -- 2.1. Electricity Generation and Transmission Issues -- 2.2. Storage Options for Electricity -- 3. Cooperative Gas and Electricity Grid -- 3.1. Bidirectional Interaction. 3.1.1. PtG: An Electrochemical Approach -- 3.2. Electrolysis -- 3.3. Chemical Conversion of Hydrogen -- 3.3.1. PtG: Physical Approach (Pressurization and Refrigeration) -- 4. Conclusion -- References -- Chapter 6: Stranded Renewable Energies, Beyond Local Security, Toward Export: A Concept Note on the Design of Future Ener ... -- 1. Background -- 2. Two Paradigms in Renewable Energy Development -- 2.1. Paradigm 1: Renewables for Energy Security -- 2.2. Paradigm 2: Renewables for Export -- 3. Stranded Renewable Energies -- 3.1. ``Underutilized´´ Renewable Resources -- 3.2. ``Underdeveloped´´ Renewable Resources -- 4. Monetization Options for Stranded Renewable Energies -- 4.1. Direct Utilization -- 4.1.1. Supergrid for Power Export -- 4.1.2. Renewable Fuels and Chemicals -- 5. Indirect Utilization: Renewable Energy Embodied in Other Commodities -- 6. The Challenge of New Infrastructure for Renewable Export -- 7. A Hybrid Concept for a Renewable Chemical and Energy Supply Chain -- 8. Conclusion -- References -- Chapter 7: Polyfeed and Polyproduct Integrated Gasification Systems -- 1. Background -- 2. IGCC With Multiple Feed Flexibility -- 2.1. Biomass -- 2.2. Petroleum Residues -- 3. IGCC Process Overview -- 3.1. Gasification -- 3.2. Syngas Cleaning -- 4. Polygeneration -- 4.1. Power Generation -- 4.1.1. Combined Cycle -- 4.1.2. Fuel Cell Integration -- 4.2. Chemical and Fuel Synthesis -- 4.2.1. Hydrogen -- 4.2.2. Methanol -- 4.2.3. Ammonia -- 4.2.4. Synthetic Natural Gas -- 4.2.5. Fischer-Tropsch Products -- 5. Process Technoeconomics -- 6. IGCC Technology Barriers -- 7. Conclusion -- References -- Chapter 8: CO2 Conversion and Utilization Pathways -- 1. Introduction -- 2. CO2 Utilization Pathways -- 3. Physical CO2 Utilization -- 4. Chemical CO2 Utilization -- 4.1. Syngas Production -- 4.2. Methanol Production -- 4.3. Dimethyl Ether (DME) Production. 4.4. Urea Production -- 4.5. Dimethyl Carbonate (DMC) Production -- 4.6. Polyurethane -- 4.7. Fischer-Tropsch Gas-to-Liquid (FT-GTL) Products -- 4.8. Methane Production -- 4.9. Chemical-Looping Dry Reforming -- 4.10. Mineralization -- 5. Conclusions -- References -- Chapter 9: Solar Thermal Energy and Its Conversion to Solar Fuels via Thermochemical Processes -- 1. Introduction -- 2. Solar Thermal Technologies -- 2.1. Solar Concentration Technologies -- 2.2. Solar Thermal Receiver Concepts -- 2.2.1. Cavity Receivers -- 2.2.2. Windowed Receivers -- 2.2.3. Beam Down Receivers -- 2.2.4. Hybridization -- 3. Solar Thermal Fuels -- 3.1. Potential Solar Fuels -- 3.2. Feedstock Requirements for Different Fuels -- 4. Solar Fuel Production Using Carbon-Based Feedstocks -- 4.1. Methane Reforming -- 4.2. Methane Cracking -- 4.3. Biomass/Coal/Industrial and Municipal Wastes Gasification -- 5. Water and Carbon Dioxide Splitting -- 5.1. Thermal Water Splitting -- 5.2. Thermochemical Cycles -- 5.3. Sulfur-Based Cycles -- 5.3.1. Sulfur-Iodine (General Atomics) Cycle -- 5.3.2. Hybrid Sulfur (Westinghouse) Cycle -- 5.3.3. Sulfur-Bromine (ISPRA Mark 13) Cycles -- 5.4. Volatile Metal Oxides -- 5.4.1. Zinc/Zinc Oxide -- 5.4.2. Cadmium/Cadmium Oxide -- 5.5. Nonvolatile Metal Oxides -- 5.5.1. Fe3O4/FeO -- 5.5.2. Mixed Ferrites -- 5.5.3. Hercynites -- 5.5.4. CeO2/Ce2O3 -- 5.5.5. Perovskites -- 6. Other Low-Temperature Cycles -- 6.1. UT3 -- 6.2. Hybrid Copper Chloride -- 7. Challenges for Thermochemical Cycles -- 8. Summary of Recent Solar Thermal Demonstration Plants -- 9. Summary and Outlook -- References -- Chapter 10: Polygeneration Systems in Iron and Steelmaking -- 1. Introduction -- 1.1. Steelmaking Technologies -- 1.2. Conventional Steelmaking -- 1.2.1. Reducing Agents -- 2. Novel Pathways for Sustainable Steelmaking -- 2.1. Carbon Capture and Utilization Units. 2.1.1. Separation Unit Operations -- 2.1.2. Gasification Unit Operations -- 2.1.3. Torrefaction Unit -- 2.1.4. Water-Gas Shift Reactor -- 2.1.5. Polygeneration System -- 2.1.5.1. Methanol Unit Operations -- 2.1.5.2. Combined Heat and Power Plant -- 2.2. Superstructure Development -- 3. Polygeneration Superstructure Evaluation -- 3.1. Economic Evaluation -- 3.2. Emerging BF Technologies -- 3.2.1. Sensitivity Analysis -- 3.3. Investment Cost Distributions -- 3.4. Environmental Evaluation -- 3.4.1. Effect of Production Rate and Fuels -- 3.4.2. Carbon Flow in the System -- 3.5. Blast Furnace Operation Evaluation -- 3.6. Conceptual Design and Operation -- 3.7. Performance of Polygeneration System -- 4. Conclusion -- References -- Chapter 11: Renewable Hybridization of Oil and Gas Supply Chains -- 1. Introduction -- 2. An Overview of Oil and Gas Production Systems -- 2.1. Upstream Processes -- 2.2. Downstream Processes -- 3. An Overview of Renewable Energy Resources and Technologies -- 4. Energy Consumption in Oil and Gas Industries -- 5. Upstream: Application of Renewable Energy in Oil and Gas Extraction -- 6. Downstream: Application of Renewable Energy in Oil Refining -- 6.1. Energy and Emission Intensive Processes of Refineries -- 6.2. Hydrogen Management in Oil Refineries -- 7. Renewable Energy in Chemical Industries -- 8. Renewable Energy Applications in the Shipping Sector -- 9. Conclusions -- References -- Chapter 12: Biorefinery Polyutilization Systems: Production of Green Transportation Fuels From Biomass -- 1. Introduction -- 2. Thermochemical Conversion Processes -- 2.1. Gasification -- 2.2. Methanol to Gasoline -- 2.3. Liquefaction -- 2.4. Fast Pyrolysis -- 2.4.1. Bio-Oil Upgrading by Hydroprocessing -- 2.4.2. Upgrading of Bio-Oil by Catalytic Cracking -- 2.5. Catalytic Fast Pyrolysis. 3. Chemical Conversion Process: Production of Green Transportation Fuels From Triglycerides. 9780128133064 print version oai:cds.cern.ch:2654005 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5606155 ebook ebook EBL201901 Engineering SzGeCERN BOOK n 201903 201901 21 PUBLIC BOOK DELETED 2653996 SzGeCERN 20190226231420.0 9781788015530 electronic version 9781788013994 electronic version EBL 5597155 eng TJ165 .E547 2019 621.3126 Hester, R E Energy storage options and their environmental impact Cambridge Royal Society of Chemistry 2018 352 p Issues in environmental science and technology Cover -- Preface -- Contents -- Editors -- List of Contributors -- Energy Sources and Supply Grids - The Growing Need for Storage -- 1 Introduction -- 2 Energy Sources -- 2.1 Generation of Electricity from Combustion of Fossil Fuels -- 2.2 Nuclear Power -- 2.3 Renewables: Solar, Wind, Wave, Tidal and Hydro -- 2.4 Geothermal, Combined Heat and Power, Biomass Combustion and Waste Incineration -- 3 Operation of Electricity Networks -- 3.1 Transmission Network -- 3.2 Distribution Network -- 3.3 Distributed Generation -- 3.4 Mini Grids -- 4 Stabilisation of the Electricity Grid -- 4.1 System Support Services -- 4.2 Impact of Renewables on Operation of Electricity Grid -- 4.3 Corrective Measures for Mitigating RoCoF -- 4.4 Demand-side Solutions and Smart Grids -- 4.5 Need for Energy Storage -- 5 Electric Vehicles and the Electricity Grids -- 5.1 Slow Charging -- 5.2 Fast Charging -- 5.3 End-of-life Usage -- 5.4 Implications of Connecting Electric Vehicles to the Electricity Grid -- 6 Conclusion -- References -- Mechanical Systems for Energy Storage - Scale and Environmental Issues. Pumped Hydroelectric and Compressed Air Energy Storage -- 1 Introduction -- 2 Pumped Hydroelectric Storage - Introduction to the Technology, Geology and Environmental Aspects -- 2.1 Efficiencies and Economics -- 2.2 UK Deployment of PHS -- 2.3 Environmental and Regulatory Factors in PHS -- 3 Compressed Air Energy Storage - Introduction to the Technologies, Geology and Environmental Aspects -- 3.1 Applications of CAES -- 3.2 CAES Configurations - DCAES, ACAES/AACAES, ICAES -- 3.3 Geological Storage Options -- 3.4 Operational Modes of CAES 'Reservoirs' -- 3.5 UK Potential for Deployment of CAES -- 3.6 Planning and Regulatory Environment for CAES -- 3.7 Environmental Performance, Emissions, Sustainability and Economics of CAES Systems. 3.8 Safety Record of CAES and Some Potential Risks (Human and Environmental) -- Acknowledgments -- References -- Electrochemical Energy Storage -- 1 Introduction -- 1.1 Electrolytic and Voltaic Cells -- 1.2 Batteries, Fuel Cells and Flow Batteries -- 2 Lead-Acid Batteries -- 2.1 Fundamental Aspects of Lead-Acid Batteries -- 2.2 Electrodes -- 2.3 Cell Designs -- 2.4 Cycle Depth -- 2.5 Environmental Aspects -- 3 Lithium and Lithium-ion Batteries -- 3.1 Basic Theory, Structure and Operation -- 3.2 Materials -- 3.3 Electrolytes -- 3.4 Separators -- 3.5 Sustainability of Lithium-ion Batteries -- 4 Other Battery Chemistries -- 4.1 Sodium-Sulfur Batteries -- 4.2 Nickel-Metal Hydride Batteries -- 5 Fuel Cells -- 5.1 Low-temperature Fuel Cells -- 5.2 High-temperature Fuel Cells -- 5.3 Fuel Cells for Energy Storage -- 5.4 Environmental Issues with Hydrogen Production and Distribution -- 6 Flow Batteries -- 6.1 Traditional Redox Flow Batteries: The All-vanadium Flow Battery -- 6.2 Hybrid Flow Batteries: The Zinc-Bromine Flow Battery -- 6.3 Slurry Flow Batteries: The All-iron Flow Battery -- 6.4 Other Flow Battery Systems -- 7 Summary and Conclusions -- References -- Electrical Storage -- 1 Introduction -- 2 Supercapacitor and Supercapattery -- 2.1 Basics of Energy Storage Devices -- 2.2 Pseudobattery-type Electrode Materials -- 2.3 Supercapattery Performance -- 2.4 Prospects and Future -- 3 Superconducting Magnetic Energy Storage (SMES) -- 3.1 Basic Aspects of SMES -- 3.2 State-of-the-Art, Trends and Challenges for SMES -- 4 Flywheels, Flywheel Batteries and Synchronous Condensers -- 4.1 Fundamental Theory of Mechanical Energy Storage -- 4.2 Basic Aspects of Flywheels -- 4.3 Basic Aspects of Synchronous Motors, Generators and Condensers -- 4.4 Current Trends and Challenges for Flywheels -- References -- Photochemical Energy Storage -- 1 Introduction. 2 Classes of Solar Fuels and Feedstocks -- 2.1 Sustainable H2 Production -- 2.2 Sustainable Carbon Fuels Through CO2 Reduction -- 3 Reaction Enhancement and Selectivity by Catalysis -- 4 Current Status of Light-driven Fuel Production -- 4.1 PV-driven Electrolysis of Water to Generate H2 -- 4.2 PV-driven Electrolysis for CO2 Reduction -- 4.3 Photochemical and Photoelectrochemical Cells -- 5 Summary and Conclusions -- References -- Thermal and Thermochemical Storage -- 1 Introduction -- 2 Latent Heat Storage -- 2.1 Principle of LHS -- 2.2 Materials for LHS -- 2.3 Encapsulation and Composite Technology for LHS -- 2.4 Heat Exchangers for LHS -- 2.5 Applications of LHS -- 3 Thermochemical Energy Storage -- 3.1 Principle of TCES -- 3.2 Variety of TCES -- 3.3 Material and Reactor Technologies for TCES -- 3.4 Applications of TCES -- 3.5 Challenges and Barriers to Implementation -- References -- Smart Energy Systems -- 1 Smart Energy Systems -- 1.1 General Objectives -- 1.2 Reducing the Need for Fuels -- 1.3 Smart Electric, Thermal and Gas Grids -- 1.4 Coupling of Energy Sectors -- 2 Potential of Smart Energy Systems and Sector Coupling -- 2.1 IDA Energy Vision 2050 -- 2.2 Smart Energy Europe -- 2.3 The Energy System Analysis Tool EnergyPLAN -- 3 The Need for Storage in a Smart Energy Systems Perspective -- 3.1 Assessment of Storage Needs: A Function of the Demands -- 3.2 Comparison of Costs for Different Storage Types -- 4 The Relevance of Storage in a Smart Energy System -- 4.1 Renewable Fuels -- 4.2 Large-scale Hydroelectric Storage -- 4.3 Local Electric Storage in Electric Vehicles -- 4.4 Thermal Storage -- 5 Conclusion -- References -- Life-cycle Analysis for Assessing Environmental Impact -- 1 Introduction to Life-cycle Assessment -- 2 Life-cycle Assessment of Energy Storage Systems -- 3 Selection of Impact Indicators. 4 Case Study 1: Life-cycle Assessment of Pumped Hydroelectric Storage and Battery Storage -- 4.1 Goal and Scope -- 4.2 Description of Compared Systems and Functional Equivalency -- 4.3 Underlying Data -- 4.4 Results -- 4.5 Sensitivity Analysis -- 4.6 Discussion -- 5 Case Study 2: Life-cycle Assessment of Different Lithium-ion Battery Chemistries for a Small-scale Energy System -- 5.1 Goal and Scope -- 5.2 Underlying Data -- 5.3 Results -- 5.4 Discussion -- 6 Case Study 3: Life-cycle Assessment of Energy Scenarios with Various Uses of Heat and Battery Storage for a Small-scale Energy System -- 6.1 Goal and Scope -- 6.2 Description of Compared Systems and Functional Equivalency -- 6.3 Underlying Data -- 6.4 Results -- 6.5 Discussion -- 7 Conclusion -- Abbreviations -- Acknowledgments -- References -- Business Opportunities and the Regulatory Framework -- 1 Introduction -- 2 Economic Value of Storage -- 2.1 Matching Technologies to Applications -- 2.2 Merit Order of Alternative Storage Options -- 2.3 Location and Energy Density of Storage Units -- 2.4 Optimal Sizing of Storage Units -- 2.5 Economic Impact of Aging of Batteries -- 2.6 Prosumer Concept -- 2.7 Energy Cloud Concepts -- 3 Value Creation for Business Models -- 3.1 Subsidies and Tariff Schemes -- 3.2 Economic Value from Energy (Self-) Supply -- 3.3 Economic Value from Ancillary Services -- 3.4 Economic Value from Arbitrage -- 3.5 Virtual Power Plants (VPPs) with Storage -- 4 Regulatory Considerations -- 5 Conclusion -- References -- Subject Index. This book explores the state-of-the-art of large-scale energy storage and examines the environmental impacts of the main categories based on the types of energy stored. Harrison, R M 9781788013994 print version oai:cds.cern.ch:2653996 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5597155 ebook ebook EBL Energy storage EBL201901 Engineering SzGeCERN BOOK n 201903 201901 21 PUBLIC BOOK DELETED 2653994 SzGeCERN 20190226231420.0 9781788012966 electronic version 9781788011549 electronic version EBL 5597149 eng QC762 .F545 2019 538.362 Kimmich, Rainer Field-cycling NMR relaxometry instrumentation, model theories and applications Cambridge Royal Society of Chemistry 2018 590 p New developments in NMR Cover -- Preface -- Contents -- Chapter 1 Principle, Purpose and Pitfalls of Field-cycling NMR Relaxometry -- 1.1 Revelation and Analytical Representation of Molecular Fluctuations -- 1.1.1 From Molecular Motions to Spin-Lattice Relaxation -- 1.1.2 What Time Scale of Autocorrelation Functions Do We Probe in NMR Relaxometry? -- 1.1.3 The Field-cycling Principle -- 1.1.4 Technical Limits -- 1.1.5 Physical Limits -- 1.2 Exchange in Heterogeneous and Multi-phase Systems -- 1.2.1 Exponential and Non-exponential Relaxation Curves -- 1.2.2 Exchange Relative to the Time Scale of Correlation Functions -- 1.3 Remarks on Correlation Functions and Their Parallelism with Relaxation Functions -- 1.3.1 Calculation of Correlation Functions -- 1.3.2 Parallelism of Correlation and Relaxation Functions -- 1.3.3 Superposition of Restricted Fluctuations -- 1.4 Concluding Remarks -- References -- Chapter 2 Essentials of the Theory of Spin Relaxation as Needed for Field-cycling NMR -- 2.1 Perturbation Theory of Spin Relaxation -- 2.2 High-field Relaxation Theory -- 2.3 Relaxation Theories for an Arbitrary Magnetic Field -- 2.3.1 Non-Zeeman Energy Level Structure -- 2.3.2 Relaxation in Paramagnetic Systems -- 2.4 Superparamagnetic Systems -- 2.5 Stochastic Liouville Approach -- 2.6 Dipole-dipole Relaxation Mechanism at Low Field -- References -- Chapter 3 New Trends in Field-cycling NMR Technology -- 3.1 Introduction -- 3.2 Historical Frame -- 3.3 Machines and Applications -- 3.3.1 Relaxometry -- 3.3.2 Double Irradiation -- 3.3.3 Zero and Earth's Field -- 3.3.4 Field-cycling MRI -- 3.4 Technology -- 3.4.1 Power Management -- 3.4.2 Magnet Technology -- 3.4.3 FFC Magnet Current Control Strategy -- 3.4.4 Magnetic Field Compensation -- 3.4.5 Field Homogeneity Versus Electrical Parameters -- 3.5 Concluding Remarks and Future Perspectives -- References. Chapter 4 Broadband Fast Field-cycling Relaxometer: Requirements, Instrumentation and Verification -- 4.1 Introduction -- 4.2 Requirements for FFC Relaxometers -- 4.3 Instrumentation -- 4.3.1 Setup Overview -- 4.3.2 Magnetic System -- 4.3.3 Electronics -- 4.3.4 Probe Head Design -- 4.4 Experimental Verification -- 4.4.1 Detection Field Homogeneity and Stability -- 4.4.2 Switching Transients Control -- 4.4.3 Low-field Calibration -- 4.4.4 Effects of Evolution Field Instabilities -- 4.5 Conclusion -- Acknowledgments -- References -- Chapter 5 Specific Aspects of the Design of Field-cycling Devices -- 5.1 Introduction -- 5.2 Power Systems -- 5.2.1 The Insulated-gate Bipolar Transistor -- 5.2.2 Solution Shunting IGBTs -- 5.2.3 The Switching Solution -- 5.2.4 The Linear Source -- 5.3 Magnets -- 5.3.1 Air-core Magnet -- 5.3.2 The Ferromagnetic Solution -- 5.4 Control -- 5.5 Conclusion -- Acknowledgments -- References -- Chapter 6 Signal Enhancement for Fast Field-cycling Relaxometry by Dynamic Nuclear Polarization: Basic Principles, Hardware and Methods -- 6.1 Introduction -- 6.2 Basic Principles of Overhauser DNP and Solid-effect DNP -- 6.3 Common Radicals for DNP-FFC -- 6.4 Hardware Requirements for DNP-FFC -- 6.5 Choice of the Polarization Field Strength and Microwave Frequency -- 6.6 Sample Heating Effects -- 6.7 A Pulse Sequence for DNP-FFC -- 6.8 Conclusion -- Acknowledgments -- References -- Chapter 7 Relaxometry at Very Low Frequencies by Rotating-frame Techniques for Complementing the Frequency Domain Explored by Field Cycling -- 7.1 Introduction -- 7.2 Theoretical Survey -- 7.2.1 Relaxation by Randomly Varying Magnetic Fields -- 7.2.2 Dipolar Relaxation (Like Spins) -- 7.3 Experimental Method for Measuring R1ρ -- 7.4 Connection Between R1 and R1ρ Dispersion Curves -- 7.4.1 Connection in the Case of Relaxation by Random Fields. 7.4.2 Attempt to Use the ''Like Spins" Relaxation Mechanism -- 7.4.3 A Complete Dispersion Curve: from a Frequency Very Close to Zero to Several Hundred Megahertz -- 7.4.4 The Data Point at Zero Frequency -- 7.5 Conclusion -- References -- Chapter 8 Application of Field-cycling 1H NMR Relaxometry to the Study of Translational and Rotational Dynamics in Liquids and Polymers -- 8.1 Introduction -- 8.2 Theoretical Background -- 8.2.1 Intra- and Intermolecular 1H Relaxation in Simple Liquids -- 8.2.2 Particularities in Polymer Melts -- 8.3 Results -- 8.3.1 Simple Liquids -- 8.3.2 Polymers -- 8.4 Outlook -- References -- Chapter 9 Nuclear Magnetic Relaxtion Dispersion of Water-Protein Systems -- 9.1 Introduction -- 9.2 Protein Solutions -- 9.3 Rotational Immobilization -- 9.4 Paramagnetic Effects in Immobilized Systems -- 9.5 Aggregation -- 9.6 High-field Water Dispersion in Aqueous Protein Systems -- 9.7 Conclusion -- Acknowledgments -- References -- Chapter 10 Environmental Applications of Fast Field-cycling NMR Relaxometry -- 10.1 Introduction -- 10.2 T1 Values and Molecular Motions -- 10.3 The Basic Experiment and the Models for Data Elaboration in Environmental Analysis -- 10.4 Fast Field Cycling in Understanding Solid-state Environmental Compartments -- 10.4.1 Understanding Soils with Fast Field-cycling NMR Relaxometry -- 10.4.2 Field Cycling and Sediments -- 10.5 Fast Field Cycling in Understanding Liquid-state Environmental Compartments -- 10.5.1 Inorganic Water Solutions Investigated by Fast Field-cycling NMR Relaxometry -- 10.5.2 Field-cycling NMR Relaxometry and Dissolved Organic Matter (DOM) -- 10.6 Dynamics of Nutrients in Soil Solution as Revealed by Fast Field-cycling NMR Relaxometry -- 10.7 Conclusions and Perspectives -- References. Chapter 11 NMR Relaxometry in Liquid Crystals: Molecular Organization and Molecular Dynamics Interrelation -- 11.1 Introduction to Liquid Crystals -- 11.2 Fundamentals of NMR Relaxation -- 11.2.1 Molecular Motions and Relaxation Mechanisms -- 11.2.2 Translational Self-diffusion -- 11.2.3 Collective Motions -- 11.3 Review of Spin-Lattice Relaxation in Different Liquid Crystal Phases -- 11.3.1 Isotropic Phases of Liquid Crystals -- 11.3.2 Blue Phases -- 11.3.3 Nematic and Chiral Nematic Phases -- 11.3.4 Smectic Phases -- 11.3.5 Columnar Phases -- 11.3.6 Lyotropic Phases -- 11.3.7 Liquid Crystals in Nano Porous Glasses -- 11.4 Final Remarks and Outlook -- 11.5 Appendix -- References -- Chapter 12 Interfacial and Intermittent Dynamics of Water in Colloidal Systems as Probed by Fast Field-cycling Relaxometry -- 12.1 Introduction -- 12.2 Molecular Intermittent Interfacial Dynamics -- 12.2.1 Bridge and Relocation Statistics -- 12.2.2 Spectral Density of Intermittent Dynamics -- 12.2.3 Case of Relocation Statistics with Algebraic Tail at Long Time -- 12.3 Probing Intermittent Interfacial Dynamics by NMRD -- 12.4 NMRD in Various Colloidal Systems -- 12.4.1 Very Large Flat Interface: the Case of Plaster -- 12.4.2 Finite Flat Surfaces and Escape Process: the Case of a Clay Dispersion -- 12.4.3 Probing Other Colloidal Shapes: The Case of a Rigid Cylindrical Colloid -- 12.5 Conclusion -- Acknowledgments -- References -- Chapter 13 Field-cycling Relaxometry of Polymers -- 13.1 Introduction -- 13.2 Polymer Molecules, Short and Long -- 13.2.1 Theory of the Dynamics of Short and Long Polymers -- 13.2.2 Experimental Results for Polymer Melts -- 13.3 Polymer Solutions -- 13.4 Superstructures of Polymer Molecules -- 13.5 Polymers in Confinement -- 13.6 Solid Polymers -- 13.7 Alternative Methods -- 13.8 Pitfalls and Limitations -- 13.9 Recent Developments. 13.10 Conclusion and Outlook -- References -- Chapter 14 Techniques and Applications of Field-cycling Magnetic Resonance in Medicine -- 14.1 Introduction -- 14.2 Pulse Sequences for FFC-MRI -- 14.3 Uses of Fast Field Cycling in Combination with MRI -- 14.3.1 Field-cycled Proton-Electron Double-resonance Imaging of Free Radicals -- 14.3.2 Field-cycling Relaxometric MRI -- 14.3.3 Pre-polarised MRI Using Field Cycling -- 14.3.4 Delta Relaxation-enhanced Magnetic Resonance (dreMR) -- 14.4 Magnet Technology for FFC-MRI -- 14.4.1 Dual Magnet for Pre-polarised MRI -- 14.4.2 Dual Magnet for dreMR -- 14.4.3 Dual Magnet for FFC-MRI -- 14.4.4 Single-magnet FFC-MRI System -- 14.4.5 Rotating Probe/Sample Approach in In Vivo FFC-MRI -- 14.5 Techniques for FFC-MRI -- 14.5.1 Fast Spin Echo -- 14.5.2 Localised Relaxometry -- 14.5.3 Keyhole FFC-MRI -- 14.5.4 Data Processing and Correction Techniques -- 14.6 Biomedical Applications of FFC -- 14.6.1 Cancer -- 14.6.2 Muscular Oedema and Damage -- 14.6.3 Osteoarthritis -- 14.7 Conclusion -- References -- Chapter 15 High-resolution Applications of Shuttle Field-cycling NMR -- 15.1 Introduction - Why Use High-resolution Shuttle Field Cycling? -- 15.2 The Redfield ''Spin Spa -- 15.3 Typical 31P Profile -- 15.4 Uses of 31P Shuttle Field-cycling Relaxometry in Biological Systems -- 15.4.1 Small Molecules Binding to Macromolecules - Probing Bound Molecule Dynamics -- 15.4.2 Phospholipid Aggregates - Two Dipolar Terms for Vesicles and Micelles -- 15.4.3 Using Spin-labeled Protein to Characterize Protein Interactions with Small Molecules and phospholipids -- 15.5 Future of Shuttle Field Cycling? -- References -- Chapter 16 Quantum Molecular Tunnelling Studied by Field-cycling NMR -- 16.1 Introduction -- 16.2 Coherent and Incoherent Tunnelling. 16.3 Incoherent Tunnelling in the Hydrogen Bond: Concerted 1H Transfer in H-bond Dimers. Field-cycling NMR relaxometry is evolving into a methodology of widespread interest. Aimed at newcomers to the field and researchers in academia and industry, this book will summarise the expertise of leading scientists in the area. 9781788011549 print version oai:cds.cern.ch:2653994 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5597149 ebook 201901 n 201903 ebook EBL201901 SzGeCERN Other Fields of Physics BOOK 21 PUBLIC BOOK DELETED 2653932 SzGeCERN 20200503232010.0 9780815348351 electronic version electronic version 9780815348351 print version 9781351138895 electronic version electronic version oai:cds.cern.ch:2653932 cerncds:BOOK EBL 5572421 eng R857.N34 .N366 2019 610.28 Singh, Bhupinder Nanobioengineering Milton Chapman and Hall/CRC 2018 341 p Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Foreword -- About the Series -- Preface -- Editors -- Contributors -- Chapter 1: Nanotechnology and its Applications in Biomedical Engineering -- Chapter 2: Biomedical Applications of Superparamagnetic Nanoparticles-An Insight -- Chapter 3: Dendrimers as Promising Nanocarriers in Drug Delivery -- Chapter 4: Designing Nanocargos for Multi-Drug Resistant Cancerous Cells: Strategies and Applications -- Chapter 5: Aptamers for Nano-Delivery -- Chapter 6: Multi-Dimensional Approaches for Targeted Drug Delivery Using Nanostructured Systems -- Chapter 7: Versatility of Poly(Lactic Acid) and Modified Poly(Lactic Acid) for Nanobioengineering Applications -- Chapter 8: Surface Functionalization and Antibacterial Characteristics of the Titanium-Based Metallic Biomaterials at Nanoscale -- Chapter 9: Nanocrystals of Poorly Water-Soluble Drugs: Production Technologies, Characterization, and Functionalization -- Chapter 10: Nanofibers for Delivery of Drugs and Bioactives -- Chapter 11: Rapid Nano-Tooling in Clinical Dentistry -- Chapter 12: Face Recognition through Nano-Based Neural Networks -- Chapter 13: Brain Delivery Using Oral Nanoparticles: Promises, Challenges and Future Prospects -- Chapter 14: Microfluidic Technology: A Promising Approach for Nanotoxicity Studies in Physiologically Realistic Environments -- Chapter 15: Surface-Engineered Nanomaterials: Environmental and Safety Considerations in Pharmaceutical and Medicinal Products -- Index. https://cds.cern.ch/auth.py?r=EBLIB_P_5572421 ebook ebook EBL Biomedical engineering EBL Nanomedicine EBL201901 Health Physics and Radiation Effects SzGeCERN BOOK n 201903 201901 21 PUBLIC BOOK DELETED 2653904 SzGeCERN 20210421203711.0 9780128124451 electronic version electronic version 9780323449229 electronic version electronic version 9780323449229 print version oai:cds.cern.ch:2653904 cerncds:BOOK EBL 4851898 eng TK7871.85 621.3815/2 Gupta, Raju Kumar Metal semiconductor core-shell nanostructures for energy and environmental applications Philadelphia, PA Elsevier 2017 220 p ebook Micro & nano technologies series Cover -- Title page -- Copyright page -- Dedication -- Contents -- List of Contributors -- Editor Biographies -- Preface -- Chapter 1 - Introduction to semiconductor nanomaterial and its optical and electronics properties -- 1.1 - Introduction -- 1.2 - Classification of nanostructured materials -- 1.2.1 - Source of origin -- 1.2.2 - Dimensions -- 1.2.3 - Structural configuration -- 1.3 - Core-shell nanostructured materials -- 1.4 - Semiconductor core-shell nanomaterials -- 1.4.1 - Semiconductor/semiconductor-core/shell materials -- 1.4.1.1 - Type I (shell material with higher bandgaps) -- 1.4.1.2 - Reverse type I (shell material with lower bandgaps) -- 1.4.1.3 - Core, shell band gap staggered type (type II) -- 1.4.1.4 - Core/multishell semiconductor nanoparticles -- 1.4.2 - Semiconductor/nonsemiconductor or nonsemiconductor/semiconductor core/shell materials -- 1.5 - Properties of nanostructured core-shell materials -- 1.5.1 - Optical properties -- 1.5.1.1 - Absorbance -- 1.5.1.2 - Photoluminescence -- 1.5.1.3 - Scattering -- 1.6 - Synthesis of core-shell nanomaterials -- 1.6.1 - Synthesis of core-shell nanoparticles by electrospinning -- 1.6.2 - Synthesis of core-shell nanoparticles by hydrothermal -- 1.7 - Applications of nanostructured core-shell materials -- 1.7.1 - Electronics application -- 1.7.1.1 - Dye-sensitized solar cells -- 1.7.1.2 - Plasmonic solar cells -- 1.7.2 - Biomedical application -- 1.7.3 - Agricultural and food processing application -- 1.7.4 - Photocatalytic application -- 1.8 - Conclusions -- References -- Chapter 2 - Core-shell nanostructures: an insight into their synthetic approaches -- 2.1 - Introduction -- 2.2 - Methods -- 2.2.1 - Sol-gel -- 2.2.2 - Reduction -- 2.2.3 - Coprecipitation -- 2.2.4 - Cation exchange -- 2.2.5 - Hydrothermal method -- 2.2.6 - Polyol method -- References. Chapter 3 - Characterization of metal, semiconductor, and metal-semiconductor core-shell nanostructures -- 3.1 - Introduction -- 3.2 - Microscopic characterization -- 3.2.1 - SEM/FESEM -- 3.2.2 - AFM -- 3.2.3 - TEM/HRTEM -- 3.2.4 - STEM -- 3.3 - Spectroscopic characterization -- 3.3.1 - XES/XANES -- 3.3.2 - Raman and surface enhanced Raman spectroscopy -- 3.3.3 - EDS analysis -- 3.3.4 - XPS analysis -- 3.3.5 - FTIR analysis -- 3.3.6 - Dynamic light scattering -- 3.4 - Optical characterization -- 3.4.1 - UV-visible spectroscopy -- 3.4.2 - Fluorescence spectroscopy -- 3.5 - Other spectroscopic characterization -- 3.6 - Conclusions -- Acknowledgment -- References -- Chapter 4 - Metal/semiconductor core/shell nanostructures for environmental remediation -- 4.1 - Introduction -- 4.2 - Basic science in photocatalysis process -- 4.3 - Environmental application of metal/semiconductor core/shell nanoparticles -- 4.3.1 - Nonselective process -- 4.3.2 - Selective transformation process -- 4.4 - Metal/semiconductor core/shell nanoparticles in environment purification -- 4.4.1 - Metal/metal oxide core/shell nanoparticles -- 4.4.2 - Metal/metal chalcogenide semiconductor core/shell nanoparticles -- 4.4.3 - Metal/organic semiconductor core/shell nanoparticles -- 4.5 - Concluding remarks and future prospective -- References -- Chapter 5 - Metal-semiconductor core-shell nanomaterials for energy applications -- 5.1 - Energy and environment -- 5.1.1 - Alternate energy options -- 5.2 - Electrochemical energy storage and conversion devices -- 5.3 - Role of nanomaterials in supercapacitors, fuel cells and lithium ion batteries applications -- 5.3.1 - Supercapacitors -- 5.3.2 - Fuel cells -- 5.3.3 - Lithium ion batteries -- 5.4 - Metal-semiconductor core-shell nanomaterials for energy storage and conversion. 5.5 - Correlation between electronic structure and electrochemical activity of core-shell nanomaterials -- 5.6 - Future outlook and challenges -- Acknowledgements -- References -- Chapter 6 - Metal-semiconductor core-shell nanostructured photocatalysts for environmental applications and their recycling... -- 6.1 - Introduction -- 6.2 - Different nanostructured nanoparticles: -- 6.3 - Core-shell nanoparticles -- 6.4 - Metal-metal oxide core-shell nanoparticle synthesis -- 6.5 - Photocatalysis -- 6.6 - Mechanism of heterogeneous phtotocatalysis by core-shell nanostructures -- 6.7 - Wastewater treatment by core-shell nanostructured photocatalysts -- 6.8 - Inactivation of microorganisms and air purification -- 6.9 - Other applications -- 6.10 - Photocatalytic reactor design and recycling of core-shell nanoparticle photocatalysts -- 6.11 - Conclusions and outlooks -- Acknowledgment -- References -- Chapter 7 - Metal and metal-semiconductor core-shell nanostructures for plasmonic solar cell applications -- 7.1 - Introduction -- 7.1.1 - Surface plasmon polaritons -- 7.1.2 - Localized surface plasmons -- 7.1.3 - Simulation using finite difference time domain -- 7.1.4 - Positions of NPs at various position in OPVs and DSSC -- 7.1.5 - Different shapes of nanoparticles -- 7.2 - Applications of core-shell metal semiconductor nanoparticles in different solar cells -- 7.2.1 - Core-shell metal semiconductor nanoparticles in DSSCs -- 7.2.2 - Core-shell metal semiconductor nanoparticles in organic solar cell -- 7.3 - Bimetallic core-shell nanoparticles for plasmonic solar cell -- 7.4 - Conclusions -- References -- Chapter 8 - Core-shell nanostructures as a platform for sensing applications -- 8.1 - Introduction -- 8.2 - Classification of core-shell-based nanosensors -- 8.2.1 - Silica core-shell -- 8.2.2 - Nonsilica core-shell -- 8.2.3 - Semiconductor core-shell. 8.2.4 - Magnetic core-shell -- 8.2.5 - Nonmagnetic core-shell -- 8.2.6 - Sensing applications of core-shell nanostructures -- 8.3 - Conclusions -- Acknowledgments -- References -- Further Reading -- Index -- Back Cover. EBL201901 Engineering SzGeCERN BOOK Misra, Mrinmoy https://cds.cern.ch/auth.py?r=EBLIB_P_4851898 ebook n 201903 201901 21 PUBLIC https://catalogue.library.cern/legacy/2653904 BOOK MIGRATED 2653896 SzGeCERN 20190226231419.0 9780309520270 electronic version 9780309065955 electronic version EBL 3375546 eng TD1062 -- .N38 1999eb 623/.75 Carbon filtration for reducing emissions from chemical agent incineration Washington, DC National Academies Press 1999 102 p Fronrt Matter -- Preface -- Acknowledgments -- Contents -- Figures and Tables -- Abbreviations and Acronyms -- Executive Summary -- 1 Introduction and Background -- 2 Trace Gaseous Emissions from Agent Incineration -- 3 Controlling Trace Organics with Passive Activated Carbon Filters -- 4 Facility Design with a Carbon Filter System -- 5 Risk Assessments and Change Management: An Evaluation of the Army's Decision-Making Process -- 6 Findings and Recommendations -- References -- Appendix A Reports of the Committee on Review and Evaluation of the Army Chemical Stockpile Disposal Program (Stockpile Committee) -- Appendix B Consolidated Exhaust Gas Characteristics for the JACADS and TOCDF Baseline Incineration Systems -- Appendix C Commercial Application of Carbon Bed Filters to Combustion Sources -- Appendix D Adsorption -- Appendix E Adsorption Separations: Alternative Modes of Operation -- Appendix F Alternative Flue Gas Cleaning Systems for Substances of Potential Concern -- Appendix G Biographical Sketches of Committee Members. Council, National Research Commission, Engineering and Technical Systems Staff, Division on Engineering and Physical Sciences 9780309065955 print version oai:cds.cern.ch:2653896 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3375546 ebook ebook EBL Carbon, Activated EBL Chemical weapons disposal -- Environmental aspects -- United States EBL Filters and filtration EBL Hazardous wastes -- Incineration -- Environmental aspects -- United States EBL201901 Engineering SzGeCERN BOOK n 201903 21 PUBLIC BOOK DELETED 2653895 SzGeCERN 20190226231419.0 9781780403298 electronic version 9781780400433 electronic version EBL 3119912 eng TD434 -- .S87 2012eb 623.378 Neethling, JB Striking the balance between nutrient removal in wastewater treatment and sustainability WERF report NUTR1R06n London IWA Publishing 2011 100 p WERF report series Cover -- Copyright -- Contents -- Acknowledgments -- Abstract and Benefits -- List of Tables -- List of Figures -- List of Symbols and Abbreviations -- Executive Summary -- Chapter 1.0: Wastewater Treatment Plants Impact on Sustainability -- 1.1 Sustainability -- 1.2 Role of Wastewater Treatment Plants in Sustainability -- 1.3 Measuring Sustainability -- 1.4 Energy Demand at Wastewater Treatment Plants -- 1.5 Cap and Trade -- 1.6 Previous GHG Emissions Studies -- 1.7 System Inputs -- 1.8 Future Regulations -- 1.9 Impact of Nutrient Removal on GHG Emissions at WWTPs -- 1.9.1 Nutrient Removal -- 1.9.2 Role of Dissolved Organic Nitrogen on Permits -- 1.9.3 Role of Phosphorus Species on Permits -- 1.9.4 Greenhouse Gas Emissions at Wastewater Treatment Plants -- 1.10 Example of GHG Emissions Inventory Performed on WWTP -- 1.10.1 Accounting and GHG Emissions Boundary Conditions for a 15 mgd WWTP -- 1.10.2 Emission Calculations -- 1.10.3 Base Year and Future Years Used for GHG Emissions -- Chapter 2.0: Regulations and Driving Forces -- 2.1 Introduction -- 2.2 U.S. EPA Numeric Nutrient Standards -- 2.3 Stakeholder input to the Nutrient Impact Discussion-NRDC and Others -- 2.4 The Ecoregion Concept and Nutrient Criteria -- 2.5 Effluent Technology Limits Do Not Guarantee Water Quality -- Chapter 3.0: Five Tiered Levels of Treatment, Design Criteria, GHG Emissions Conversion Assumptions, and System Inputs -- 3.1 Five Tiers Concept -- 3.1.1 Level 1 (30 mg/L BOD -- 30 mg/L TSS -- no nutrient requirements) -- 3.1.2 Level 2 (8 mg N/L -- 1 mg P/L) -- 3.1.3 Level 3 (4-8 mg N/L -- 0.1-0.3 mg P/L) -- 3.1.4 Level 4 (3 mg N/L -- 0.1 mg P/L) -- 3.1.5 Level 5 (2 mg N/L -- <0.02 mg P/L) -- 3.2 Design Criteria -- 3.3 Greenhouse Gas Calculation Assumptions -- 3.4 Incremental Increase in GHG Emissions per Additional Pound Nutrient Removed. 3.5 Economic Variables Assumptions -- 3.6 System Inputs -- Chapter 4.0: Sustainability Consequences for Five Tiered Levels of Treatment -- 4.1 Results -- 4.1.1 Steady State Mass Balance Results -- 4.1.2 GHG Emissions Distribution per Treatment Level -- 4.1.3 Incremental GHG Emissions with Increased Treatment -- 4.1.4 Algal Production Potential in Receiving Waterbodies -- 4.1.5 Transportation Impacts on Sustainability for Chemicals -- 4.1.6 Costs per Treatment Level -- 4.2 Discussion -- 4.2.1 Environmental Pillar -- 4.2.2 Economic Pillar -- 4.2.3 Social Pillar -- 4.2.4 Point versus Non-Point Loadings -- Chapter 5.0: Summary, Future Work, and Conclusions -- 5.1 Summary -- 5.2 Conclusions -- 5.3 Future Work -- Appendix A: A Detailed Breakdown of GHG Emissions -- Appendix B: A Detailed Discussion on Nitrous Oxide Emissions at WWTPs -- References. Neethling, J B Reardon, David J 9781780400433 print version oai:cds.cern.ch:2653895 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3119912 ebook ebook EBL Sewage disposal EBL201901 Engineering SzGeCERN BOOK n 201903 21 PUBLIC BOOK DELETED 2653894 SzGeCERN 20190226231419.0 9781611224863 electronic version 9781607414759 electronic version EBL 3018082 eng TN859.U62 -- O45 2009eb 623 Bussell, Ike S Oil shale developments Hauppauge Nova Science Publishers 2009 216 p Energy science, engineering and technology Intro -- OIL SHALE DEVELOPMENTS -- OIL SHALE DEVELOPMENTS -- NOTICE TO THE READER -- CONTENTS -- PREFACE -- Chapter 1: STATEMENT OF C. STEPHEN ALLRED, LAND AND MINERALS MANAGEMENT, U.S. DEPARTMENT OF THE INTERIOR, OVERSIGHT HEARING: OIL SHALE, SENATE ENERGY AND NATURAL RESOURCES COMMITTEE,MAY 15, 2008 -- OIL SHALE PROGRAMMATIC ENVIRONMENTAL IMPACT STATEMENT -- OIL SHALE REGULATIONS -- RD&D -- THE CASE FOR OIL SHALE -- CONCLUSION -- Chapter 2: TESTIMONY OF JAMES V. HANSEN, OIL SHALE EXPLORATION COMPANY (OSEC), MAY 15, 2008, SENATE ENERGY AND NATURAL RESOURCES COMMITTEE -- US OIL SHALE RESOURCE -- ELSEWHERE WORLDWIDE -- PAST US EFFORTS -- CURRENT US PROGRAMS -- OSEC AS AN EXAMPLE -- NEED FOR A FEDERAL OIL SHALE PROGRAM -- DOMENICI BILL -- Chapter 3: TESTIMONY OF TERRY O'CONNOR, EXTERNAL AND REGULATORY AFFAIRS, SHELL EXPLORATION AND PRODUCTION COMPANY, UNCONVENTIONAL OIL, BEFORE THE UNITED STATES SENATE ENERGY COMMITTEE, MAY 15, 2008 -- Chapter 4: BILL RITTER, JR., GOVERNOR OF COLORADO, TESTIMONY BEFORE THE SENATE COMMITTEE ON ENERGY AND NATURAL RESOURCES, OVERSIGHT HEARING: OIL SHALE RESOURCES, THURSDAY, MAY 15, 2008 -- BACKGROUND PRINCIPLES -- COLORADO'S OIL SHALE COUNTRY -- MOVING FORWARD WISELY ON OIL SHALE -- COLORADO PERSPECTIVES ON PENDING OIL SHALE LEGISLATIVE PROPOSALS -- CONCLUSION -- ATTACHMENTS -- Chapter 5: STATEMENT OF STEVE SMITH, THE WILDERNESS SOCIETY, BEFORE THE COMMITTEE ON ENERGY AND NATURAL RESOURCES UNITED STATES SENATE, REGARDING OIL SHALE DEVELOPMENT AND RESEARCH, MAY 15, 2008 -- Chapter 6: DEVELOPMENTS IN OIL SHALE -- ABSTRACT -- BACKGROUND -- OIL SHALE RESOURCE POTENTIAL -- CHALLENGES TO DEVELOPMENT -- COMMERCIAL LEASING PROGRAM -- CONCLUSION AND POLICY PERSPECTIVE[58] -- REFERENCES -- Chapter 7: GEOLOGY AND RESOURCES OF SOME WORLD OIL-SHALE DEPOSITS -- ABSTRACT -- INTRODUCTION -- RECOVERABLE RESOURCES. DETERMINING GRADE OF OIL SHALE -- ORIGIN OF ORGANIC MATTER -- THERMAL MATURITY OF ORGANIC MATTER -- CLASSIFICATION OF OIL SHALE -- EVALUATION OF OIL-SHALE RESOURCES -- AUSTRALIA -- BRAZIL -- CANADA -- CHINA -- ESTONIA -- ISRAEL -- JORDAN -- SYRIA -- MOROCCO -- RUSSIA -- SWEDEN -- THAILAND -- TURKEY -- UNITED STATES -- SUMMARY OF WORLD RESOURCES OF SHALE OIL -- REFERENCES -- Chapter 8: OIL SHALE: HISTORY, INCENTIVES, AND POLICY -- ABSTRACT -- INTRODUCTION -- GEOLOGY AND PRODUCTION TECHNOLOGY OF OIL SHALE -- HISTORY OF OIL SHALE DEVELOPMENT -- INCENTIVES AND DISINCENTIVES TO DEVELOPMENT -- POLICY PERSPECTIVE AND CONSIDERATION -- APPENDIX: LEGISLATIVE HISTORY -- REFERENCES -- Chapter 9: OIL SHALE MANAGEMENT RULE -- United States Government Accountability Office -- REPORT UNDER 5 U.S.C. 801(A)(2)(A) ON A MAJOR RULE ISSUED BY DEPARTMENT OF THE INTERIOR, BUREAU OF LAND MANAGEMENT ENTITLED "OIL SHALE MANAGEMENT-GENERAL" (RIN: 1004-AD90) -- Chapter 10: WATER RIGHTS RELATED TO OIL SHALE DEVELOPMENT IN THE UPPER COLORADO RIVER BASIN -- ABSTRACT -- WATER RIGHTS IN THE COLORADO RIVER BASIN GENERALLY -- COLORADO BASIN STATES' LAWS AFFECTING WATER RIGHTS -- THE LAW OF THE RIVER AND INTERSTATE WATER ALLOCATION -- REFERENCES -- INDEX -- Blank Page. 9781607414759 print version oai:cds.cern.ch:2653894 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3018082 ebook ebook EBL Oil-shale industry EBL201901 Engineering SzGeCERN BOOK n 201903 21 PUBLIC BOOK DELETED 2653892 SzGeCERN 20191106223627.0 9780749474058 electronic version electronic version 9780749474058 print version 9780749474065 electronic version electronic version oai:cds.cern.ch:2653892 cerncds:BOOK EBL 2193606 eng QA76.9.A25 .C384 2015 005.8 Calder, Alan IT governance an international guide to data security and ISO27001/ISO27002 6th ed. London Kogan Page 2015 360 p Intro -- Contents -- Introduction -- 01 Why is information security necessary? -- The nature of information security threats -- Information insecurity -- Impacts of information security threats -- Cybercrime -- Cyberwar -- Advanced persistent threat -- Future risks -- Legislation -- Benefits of an information security management system -- 02 The UK Combined Code, the FRC Risk Guidance and Sarbanes-Oxley -- The Combined Code -- The Turnbull Report -- The Corporate Governance Code -- Sarbanes-Oxley -- Enterprise risk management -- Regulatory compliance -- IT governance -- 03 ISO27001 -- Benefits of certification -- The history of ISO27001 and ISO27002 -- The ISO/IEC 27000 series of standards -- Use of the standard -- ISO/IEC 27002 -- Continual improvement, Plan-Do-Check-Act, and process approach -- Structured approach to implementation -- Management system integration -- Documentation -- Continual improvement and metrics -- 04 Organizing information security -- Internal organization -- Management review -- The information security manager -- The cross-functional management forum -- The ISO27001 project group -- Specialist information security advice -- Segregation of duties -- Contact with special interest groups -- Contact with authorities -- Information security in project management -- Independent review of information security -- Summary -- 05 Information security policy and scope -- Context of the organization -- Information security policy -- A policy statement -- Costs and the monitoring of progress -- 06 The risk assessment and Statement of Applicability -- Establishing security requirements -- Risks, impacts and risk management -- Cyber Essentials -- Selection of controls and Statement of Applicability -- Statement of Applicability Example -- Gap analysis -- Risk assessment tools -- Risk treatment plan -- Measures of effectiveness. 07 Mobile devices -- Mobile devices and teleworking -- Teleworking -- 08 Human resources security -- Job descriptions and competency requirements -- Screening -- Terms and conditions of employment -- During employment -- Disciplinary process -- Termination or change of employment -- 09 Asset management -- Asset owners -- Inventory -- Acceptable use of assets -- Information classification -- Unified classification markings -- Government classification markings -- Information lifecycle -- Information labelling and handling -- Non-disclosure agreements and trusted partners -- 10 Media handling -- Physical media in transit -- 11 Access control -- Hackers -- Hacker techniques -- System configuration -- Access control policy -- Network Access Control -- 12 User access management -- User access provisioning -- 13 System and application access control -- Secure log-on procedures -- Password management system -- Use of privileged utility programs -- Access control to program source code -- 14 Cryptography -- Encryption -- Public key infrastructure -- Digital signatures -- Non-repudiation services -- Key management -- 15 Physical and environmental security -- Secure areas -- Delivery and loading areas -- 16 Equipment security -- Equipment siting and protection -- Supporting utilities -- Cabling security -- Equipment maintenance -- Removal of assets -- Security of equipment and assets off-premises -- Secure disposal or reuse of equipment -- Clear desk and clear screen policy -- 17 Operations security -- Documented operating procedures -- Change management -- Separation of development, testing and operational environments -- Back-up -- 18 Controls against malicious software (malware) -- Viruses, worms, Trojans and rootkits -- Spyware -- Anti-malware software -- Hoax messages and Ransomware -- Phishing and pharming -- Anti-malware controls -- Airborne viruses. Technical vulnerability management -- Information Systems Audits -- 19 Communications management -- Network security management -- 20 Exchanges of information -- Information transfer policies and procedures -- Agreements on information transfers -- E-mail and social media -- Security risks in e-mail -- Spam -- Misuse of the internet -- Internet acceptable use policy -- Social media -- 21 System acquisition, development and maintenance -- Security requirements analysis and specification -- Securing application services on public networks -- E-commerce issues -- Security technologies -- Server security -- Server virtualization -- Protecting application services transactions -- 22 Development and support processes -- Secure development policy -- Secure systems engineering principles -- Secure development environment -- Security and acceptance testing -- 23 Supplier relationships -- Information security policy for supplier relationships -- Addressing security within supplier agreements -- ICT supply chain -- Monitoring and review of supplier services -- Managing changes to supplier services -- 24 Monitoring and information security incident management -- Logging and monitoring -- Information security events and incidents -- Incident management - responsibilities and procedures -- Reporting information security events -- Reporting software malfunctions -- Assessment of and decision on information security events -- Response to information security incidents -- Legal admissibility -- 25 Business and information security continuity management -- ISO22301 -- The business continuity management process -- Business continuity and risk assessment -- Developing and implementing continuity plans -- Business continuity planning framework -- Testing, maintaining and reassessing business continuity plans -- Information security continuity -- 26 Compliance. Identification of applicable legislation -- Intellectual property rights -- Protection of organizational records -- Privacy and protection of personally identifiable information -- Regulation of cryptographic controls -- Compliance with security policies and standards -- Information systems audit considerations -- 27 The ISO27001 audit -- Selection of auditors -- Initial audit -- Preparation for audit -- Terminology -- Appendix 1: Useful websites -- Appendix 2: Further reading -- Index. Get a full understanding of how best to deal with information security risks, including an overview of the very latest industry standards in key markets around the world. Watkins, Steve https://cds.cern.ch/auth.py?r=EBLIB_P_2193606 ebook ebook EBL Business enterprises -- Computer networks -- Security measures EBL Computer networks -- Security measures EBL Computer security EBL201901 Computing and Computers SzGeCERN BOOK n 201903 201901 21 PUBLIC BOOK DELETED 2653889 SzGeCERN 20190626205915.0 9780749462680 electronic version 9780749447489 electronic version EBL 1690890 eng QA76.9.A25 .C353 2007 005.8 Calder, Alan International IT governance an executive guide to ISO 17799/ISO 27001 London Kogan Page 2006 384 p Intro -- Copyright -- Table of contents -- How to use this book -- Acknowledgments -- Introduction -- 1. Why is information security necessary? -- 2. Sarbanes-Oxley and regulatory compliance -- 3. Information security standards -- 4. Organizing information security -- 5. Information security policy and scope -- 6. The risk assessment and Statement of Applicability -- 7. External parties -- 8. Asset management -- 9. Human resources security -- 10. Physical and environmental security -- 11. Equipment security -- 12. Communications and operations management -- 13. Controls against malicious software (malware) and back-ups -- 14. Network security management and media handling -- 15. Exchanges of information -- 16. Electronic commerce services -- 17. E-mail and internet use -- 18. Access control -- 19. Network access control -- 20. Operating system access control -- 21. Application access control and teleworking -- 22. Systems acquisition, development and maintenance -- 23. Cryptographic controls -- 24. Security in development and support processes -- 25. Monitoring and information security incident management -- 26. Business continuity management -- 27. Compliance -- 28. The ISO/IEC 27001 audit -- Useful websites -- Further reading -- Index. International IT Governance is an executive guide to information security focusing on the International Standard which replaces the British Standard in November this year. Watkins, Steve 9780749447489 print version oai:cds.cern.ch:2653889 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1690890 ebook ebook EBL Business enterprises-Computer networks-Security measures EBL Computer security EBL201901 Computing and Computers SzGeCERN BOOK n 201903 21 PUBLIC BOOK DELETED 2653877 SzGeCERN 20190226231419.0 9781849190824 electronic version 9780863413599 electronic version EBL 432578 eng TK6580 623.8933 Briggs, John N Target detection by marine radar Stevenage Institution of Engineering & Technology 2004 702 p IET radar, sonar, navigation, and avionics series Intro -- Contents -- Foreword -- Preface -- 1 Introduction -- 1.1 Purpose and scope -- 1.2 Radar users and uses -- 1.3 The past and future -- 1.4 The regulators -- 1.5 The regulations -- 1.6 Theory and calculations -- 1.7 The layout of this book -- 1.8 References -- 2 The system and the transmitter -- 2.1 The operator and the system -- 2.2 Components of the radar -- 2.3 Transmitter -- 2.4 Transmitted frequency -- 2.5 Choice of other parameters -- 2.6 Feeder -- 2.7 Scanner, qualitative description -- 2.8 Quantitative scanner analysis -- 2.9 References -- 3 Radar receiver -- 3.1 Scanner - receiving -- 3.2 Receiver input -- 3.3 Receiver and filter -- 3.4 Superhet receiver and mixing -- 3.5 IF amplifier, demodulator and video sections -- 3.6 Signal processing basics -- 3.7 Additional features -- 3.8 Display principles -- 3.9 Raster scan display -- 3.10 Cursive display -- 3.11 Plots on the screen -- 3.12 Radars for special purposes -- 3.13 Calibration -- 3.14 References -- 4 Echo strength in free space -- 4.1 Introduction -- 4.2 Radiated power density -- 4.3 Passive reflector -- radar cross section, radar range equation -- 4.4 Active target -- 4.5 Range equations in practical form -- 4.6 Calculations and graphs -- 4.7 Limitations of free space formulae -- 5 Environmental effects on propagation -- 5.1 Scope of chapter -- 5.2 Atmospheric refraction -- 5.3 Measurement of refraction factor -- 5.4 Ray geometry -- geometrical optics -- 5.5 Geometrical analysis, curved Earth -- 5.6 Flat-Earth approximation -- 5.7 The sea -- 5.8 Forward reflection from the grazing point -- 5.9 Atmospheric and precipitation losses -- 5.10 References -- 6 Multipath of point targets -- 6.1 Introduction -- 6.2 Effective scanner gain -- 6.3 Multipath regions -- 6.4 Interference region -- 6.5 Diffraction region -- 6.6 Transition region -- 6.7 Overall multipath factor. 6.8 Two-zone method -- 6.9 Sketching echo strength -- 6.10 References -- 7 Passive point targets -- 7.1 Introduction -- 7.2 Reflection from insulators -- 7.3 Reflection from conductors -- 7.4 Reflection from basic metal shapes -- 7.5 Other geometric shapes -- 7.6 Requirements for practical reflectors -- 7.7 Practical reflectors -- 7.8 Miscellaneous point targets -- 7.9 Tilting a point target aid -- 7.10 Combination of point targets -- 7.11 References -- 8 Active targets -- 8.1 Introduction -- 8.2 Description of conventional racons -- 8.3 Racon problems -- 8.4 Racon performance analysis -- 8.5 User-selectable racons -- 8.6 Miscellaneous in-band racons -- 8.7 Cross-band racons and transponders -- 8.8 SARTs -- 8.9 Ramarks -- 8.10 Radar target enhancers -- 8.11 Miscellaneous devices -- 8.12 Target tilted in radar/target plane -- 8.13 Target tilted normal to radar-target plane -- 8.14 Target tilted oblique to radar-target plane -- 8.15 RTE plus passive point target in free space -- 8.16 References -- 9 Multipath factor of extended targets -- 9.1 Introduction -- 9.2 Multipath of extended target, summation method -- 9.3 Diffraction and transition regions -- 9.4 Interference region -- 9.5 Approximate multipath factor into transition region -- 9.6 Complete multipath expression -- 10 Extended target reflections -- ships and coasts -- 10.1 The problem -- 10.2 Ship size -- 10.3 Experimental determination of RCS and effective height -- 10.4 Reported RCS values -- 10.5 Theoretical basis for RCS -- 10.6 Features contributing to ships' RCS -- 10.7 Detection cell overflow -- 10.8 The RCS to use for ships -- 10.9 RCS of small craft -- 10.11 Lobe spacing, yaw and roll -- 10.12 Land and shoreside features -- 10.13 Ice -- 10.14 Echo strength from extended targets -- sketches -- 10.15 References -- 11 Noise, clutter and interference. 11.1 The importance of noise and clutter to detection of targets -- 11.2 Mean noise -- 11.3 Noise fluctuation -- 11.4 Mean precipitation clutter -- 11.5 Precipitation clutter fluctuation -- 11.6 Mean sea clutter -- 11.7 Sea clutter fluctuation -- 11.8 Short-range ringing clutter -- 11.9 Man-made interference -- 11.10 References -- 12 Detection -- 12.1 Outline -- 12.2 Direct detection of single pulse in noise -- 12.3 Envelope detection of echo pulse in noise -- 12.4 Single pulse detection in clutter -- 12.5 Target fluctuation -- 12.6 Multiple observations -- 12.7 Setting the threshold -- 12.8 Radar diversity -- 12.9 Detection of active targets -- 12.10 Practicalities -- 12.11 Summary -- 12.12 References -- 13 Accuracy of position and track -- 13.1 Introduction -- 13.2 Forms of error -- 13.3 Errors in terms within radar performance calculations -- 13.4 Accuracy of calculations leading to SNR or PD -- 13.5 Plot and track accuracy -- 13.6 Combining data from multiple sensors -- 13.7 References -- 14 Spreadsheet calculations -- 14.1 Introduction -- 14.2 Passive point targets: page 1 -- 14.3 Geometry panel -- 14.4 Environmental effects -- 14.5 Signals at the radar receiver, single pulse -- 14.6 Main beam detection, multiple pulses -- 14.7 Sidelobes -- 14.8 Graphs -- 14.9 Extended passive targets -- 14.10 Active point targets -- 14.11 References -- 15 Worked examples -- 15.1 Deep-sea ship viewing ships -- 15.2 VTS installation -- 15.3 Small craft radar -- 15.4 Active targets -- 16 Future possibilities -- 16.1 Introduction -- 16.2 The drivers for change -- 16.3 Hardware developments -- 16.4 Processing enhancements -- 16.5 Integrated systems -- 16.6 Infrastructure and implementation -- 16.7 Other uses of radar for commercial and leisure -- 16.8 In conclusion -- A1 Glossary -- A2 Statistics details -- Index. This book covers the various international regulations governing marine radar, a brief historical background is given to modern day practice and the book closes with a discussion of ways in which marine radar may develop to meet future challenges. Staff, Institution of Electrical Engineers 9780863413599 print version oai:cds.cern.ch:2653877 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_432578 ebook ebook EBL201901 Engineering SzGeCERN BOOK n 201903 21 PUBLIC BOOK DELETED 2653138 SzGeCERN 20210422083319.0 9783030004729 print version 9783030004736 electronic version electronic version 9783030004743 print version DOI 10.1007/978-3-030-00473-6 e-proceedings oai:cds.cern.ch:2653138 cerncds:CONF eng QA71-90 004 23 20180910 International Conference on Optimization and Decision Science Taormina, Italy 10 - 13 Sep 2018 2018 taormina20180910 IT ODS2018 20180913 Cham Springer 2018 ebook AIRO Springer series 2523-7047 1 1 N.G. Hall, INFORMS, Analytics, Research and Challenges -- 2 P.M. Pardalos, On the Limits of Computation in Non-convex Optimization -- 3 M.G. Speranza, Operations research in transportation and supply chain management -- 4 M. Aghelinejad, Y. Ouazene, and A. Yalaoui, Energy optimization of a speed-scalable and multi-states single machine scheduling problem -- 5 A. Alfieri, G. Nicosia, A. Pacifici, and U. Pferschy, Constrained job rearrangements on a single machine -- 6 R. Aringhieri, G. Bonetta, and D. Duma, Reducing overcrowding at the emergency department through a different physician and nurse shift organisation: a case study -- 7 R. Aringhieri, D. Duma, and F. Polacchi, Integrating mental health into a primary care system: a hybrid simulation model -- 8 L. Bigram, P. Hosein, and J. Earle, Cost Minimization of Library Electronic Subscriptions -- 9 M. E. Bruni, D. Nguyen, P. Beraldi, and A. Violi, The Mahalanobis distance for feature selection using genetic algorithms: an application to BCI -- 10 V. Cacchiani, C. Contreras-Bolton, J.W. Escobar, L. M. Escobar-Falcon, R. Linfati, and P. Toth, An Iterated Local Search Algorithm for the Pollution Traveling Salesman Problem -- 11 A.S. Cacciapuoti, M. Caleffi, A. Masone, A. Sforza, and C. Sterle, Data Throughput Optimization for Vehicle to Infrastructure Communications -- 12 A. Candelieri, I. Giordani, B.G. Galuzzi, and F. Archetti, Evaluation of cascade effects for transit networks -- 13 F. Carrabs, R. Cerulli, C. D’Ambrosio, and A. Raiconi, Maximizing lifetime for a zone monitoring problem through reduction to target coverage -- 14 M. Casazza, A. Ceselli, and A. Taverna, Mathematical formulations for the optimal design of Resilient Shortest Paths -- 15 R. Cavagnini, L. Bertazzi, and F. Maggioni, A two-stage stochastic model for distribution logistics with transshipment and backordering: stochastic vs deterministic solutions -- 16 M. Cavola, A. Diglio, and C. Piccolo, An Optimization Model to rationalize Public Service Facilities -- 17 C. Cerrone, M. Gentili, C. D’Ambrosio, and R. Cerulli, An Efficient and Simple Approach to Solve a Distribution Problem -- 18 T. Chernonoga, First-time interaction under revenue-sharing contract and asymmetric beliefs of supply-chain members -- 19 X. Chou, L.M. Gambardella, and R. Montemanni, Monte Carlo Sampling for the Probabilistic Orienteering Problem -- 20 C. Ciancio, A. De Maio, D. Lagana , F. Santoro, and A. Violi, A Genetic Algorithm Framework for the Orienteering Problem with Time Windows -- 21 G. Colajanni and P. Daniele, A Financial Optimization Model with Short Selling and transfer of securities -- 22 P. Daniele and L. Scrimali, Strong Nash Equilibria for Cybersecurity Investments with Nonlinear Budget Constraints -- 23 M. De Falco, N. Mastrandrea, W. Mansoor, and L. Rarità, Situation Awareness and environmental factors: the EVO oil production -- 24 A. De Maio, A. Violi, D. Lagana, and P. Beraldi, A freight adviser for a delivery logistics service e-marketplace -- 25 M. Di Gangi and A. Vitetta, Specification and aggregate calibration of a quantum route choice model from traffic counts -- 26 L. Di Puglia Pugliese, D. Zorbas, and F. Guerriero, Modeling and solving the packet routing problem in industrial IoT networks -- 27 M. Gallo, L. D’Acierno, An Origin-Destination Based Parking Pricing Policy for Improving Equity in Urban Transportation -- 28 B. G. Galuzzi, R. Perego, Antonio Candelieri, and Francesco Archetti, Bayesian Optimization for Full Waveform Inversion -- 29 M. Gaudioso, M. F. Monaco, and M. Sammarra, A decomposition-based heuristic for the truck scheduling problem in a cross-docking terminal -- 30 R. Guido, V. Solina, G. Mirabelli, and D. Conforti, Offline patient admission, room and surgery scheduling problems -- 31 J. Gwinner and F.S. Winkler, Equilibria on networks with uncertain data - a comparison of different solution approaches -- 32 S. Harrod, Construction of Discrete Time Graphs from Real Valued Railway Line Data -- 33 S. Hulagu and H.B. Celikoglu, An Integer Linear Programming Formulation for Routing Problem of University Bus Service -- 34 G. Inturri, N. Giuffrida, M. Ignaccolo, M. Le Pira, A. Pluchino and A. Rapisarda, Testing Demand Responsive Shared Transport Services Via Agent Based Simulations -- 35 K. Kogan and F. El Ouardighi, Production Control in a competitive environment with incomplete information -- 36 C. Koki, S. Leonardos, and C. Melolidakis, Comparative Statics via Stochastic Orderings in a Two-Echelon Market with Upstream Demand Uncertainty -- 37 G. Lancia and M. Dalpasso, Speeding-up the exploration of the 3-OPT neighborhood for the TSP -- 38 G. Macrina, F. Guerriero, The Green Vehicle Routing Problem with Occasional Drivers -- 39 A. Mondello and A. Troia, Using cryptography techniques as a safety mechanism applied to components in Autonomous Driving -- 40 T.H. Nguyen, Simplifying the minimax disparity model for determining OWA weights in large-scale problems -- 41 M. Noumbissi Tchoupo, A. Yalaoui, L. Amodeo, F. Yalaoui, and P. Flori, Fleet size and mix pickup and delivery problem with time windows: A novel approach by column generation algorithm -- 42 J.W. Owsiński, J. Stańczak and S. Zadrożny, Designing the municipality typology for planning purposes: the use of reverse clustering and evolutionary algorithms -- 43 E. Parra, A software for production-transportation optimization models building -- 44 S.T. Pham, J. Devriendt, and P. De Causmaecker, Modelling local search in a Knowledge Base System -- 45 C.Z. Rădulescu and M. Rădulescu, A hybrid method for cloud Quality of Service criteria weighting -- 46 R. Rossi, P. Cappanera, M. Nonato, and F. Visintin, Cooperative policies for drug replenishment at Intensive Care Units -- 47 M. Salani, G. Corbellini, and G. Corani, A hybrid metaheuristic for the optimal design of photovoltaic installations -- 48 E. Salgado, C. Gentile, and L. Liberti, Perspective cuts for the ACOPF with generators -- 49 L. Scrimali, Coalitional games in evolutionary supply chain networks -- 50 R. Tadei, G. Perboli, and D. Manerba, A recent approach to derive the Multinomial Logit model for choice probability -- 51 A. Violi, P. Beraldi, M. Ferrara, G. Carrozzino, and M.E. Bruni, The optimal tariff definition problem for a prosumers’ aggregation -- 52 Y. Yaegashi, H. Yoshioka, K. Unami, and M. Fujihara, Impulse and singular stochastic control approaches for management of fish-eating bird population -- 53 A. Zapata, A. M. Marmol, L. Monroy, and M. A. Caraballo, When the other matters. The battle of the sexes revisited. This book gathers the contributions of the international conference “Optimization and Decision Science” (ODS2018), which was held at the Hotel Villa Diodoro, Taormina (Messina), Italy on September 10 to 13, 2018, and was organized by AIRO, the Italian Operations Research Society, in cooperation with the DMI (Department of Mathematics and Computer Science) of the University of Catania (Italy). The book offers state-of-the-art content on optimization, decisions science and problem solving methods, as well as their application in industrial and territorial systems. It highlights a range of real-world problems that are both challenging and worthwhile, using models and methods based on continuous and discrete optimization, network optimization, simulation and system dynamics, heuristics, metaheuristics, artificial intelligence, analytics, and multiple-criteria decision making. Given its scope of coverage, it will benefit not only researchers and practitioners working in these areas, but also the operations research community as a whole. Mathematics and statistics SPR201901 SzGeCERN Mathematical Physics and Mathematics SPR Environmental sciences SPR Game Theory, Economics, Social and Behav Sciences SPR Math Appl in Environmental Science SPR Mathematics Education PROCEEDINGS CONFERENCE Daniele, Patrizia ed. Scrimali, Laura ed. New trends in emerging complex real life problems ODS2018 Acronym SPR n 201902 201901 42 PUBLIC https://catalogue.library.cern/legacy/2653138 PROCEEDINGS MIGRATED 2653137 SzGeCERN 20210422083320.0 9783030015831 print version 9783030015848 electronic version electronic version 9783030015855 print version DOI 10.1007/978-3-030-01584-8 e-proceedings oai:cds.cern.ch:2653137 cerncds:CONF eng QA276-280 519.5 23 TIES-GRASPA 2017 Conference on Climate and Environment Bergamo, Italy 24 - 26 Jul 2017 2017 bergamo20170724 20170724 20170726 IT Cham Springer 2018 ebook 1 Fast Bayesian classification for disease mapping and the detection of disease clusters -- 2 A Novel Hierarchical Multinomial Approach to Modelling Age-specific Harvest Data -- 3 Detection of change points in spatiotemporal data in presence of outliers and heavy-tailed observations -- 4 Modelling spatiotemporal mismatch for Aerosol profiles -- 5 A SPATIOTEMPORAL APPROACH FOR PREDICTING WIND SPEED ALONG THE COAST OF VALPARAISO, CHILE -- 6 Spatiotemporal Precipitation Variability Modeling in the Blue Nile Basin: 1998-2016 -- 7 A hidden Markov random field with copula-based emission distributions for the analysis of spatial cylindrical data. This books presents some of the most recent and advanced statistical methods used to analyse environmental and climate data, and addresses the spatial and spatio-temporal dimensions of the phenomena studied, the multivariate complexity of the data, and the necessity of considering uncertainty sources and propagation. The topics covered include: detecting disease clusters, analysing harvest data, change point detection in ground-level ozone concentration, modelling atmospheric aerosol profiles, predicting wind speed, precipitation prediction and analysing spatial cylindrical data. The volume presents revised versions of selected contributions submitted at the joint TIES-GRASPA 2017 Conference on Climate and Environment, which was held at the University of Bergamo, Italy. As it is chiefly intended for researchers working at the forefront of statistical research in environmental applications, readers should be familiar with the basic methods for analysing spatial and spatio-temporal data. . Mathematics and statistics SPR201901 SzGeCERN Mathematical Physics and Mathematics SPR Ecology SPR Climatic changes SPR Theoretical EcologyStatistics SPR Climate Change SPR Climate ChangeClimate Change Impacts SPR MonitoringEnvironmental Analysis PROCEEDINGS CONFERENCE Cameletti, Michela ed. Finazzi, Francesco ed. Quantitative methods in environmental and climate research SPR n 201902 201901 42 PUBLIC https://catalogue.library.cern/legacy/2653137 PROCEEDINGS MIGRATED 2653100 SzGeCERN 20210421203733.0 9781493988518 print version 9781493988525 print version 9781493988532 electronic version electronic version DOI 10.1007/978-1-4939-8853-2 ebook oai:cds.cern.ch:2653100 cerncds:BOOK eng QA276-280 519.5 23 Harezlak, Jaroslaw Semiparametric regression with R New York, NY Springer 2018 ebook Use R! 2197-5736 Introduction -- Penalized Splines -- Generalized Additive Models -- Semiparametric Regression Analysis of Grouped Data -- Bivariate Function Extensions -- Selection of Additional Topics.-Index. This easy-to-follow applied book expands upon the authors’ prior work on semiparametric regression to include the use of R software. In 2003, authors Ruppert and Wand co-wrote Semiparametric Regression with R.J. Carroll, which introduced the techniques and benefits of semiparametric regression in a concise and user-friendly fashion. Fifteen years later, semiparametric regression is applied widely, powerful new methodology is continually being developed, and advances in the R computing environment make it easier than ever before to carry out analyses. Semiparametric Regression with R introduces the basic concepts of semiparametric regression with a focus on applications and R software. This volume features case studies from environmental, economic, financial, and other fields. The examples and corresponding code can be used or adapted to apply semiparametric regression to a wide range of problems. It contains more than fifty exercises, and the accompanying HRW package contains all datasets and scripts used in the book, as well as some useful R functions. This book is suitable as a textbook for advanced undergraduates and graduate students, as well as a guide for statistically-oriented practitioners, and could be used in conjunction with Semiparametric Regression. Readers are assumed to have a basic knowledge of R and some exposure to linear models. For the underpinning principles, calculus-based probability, statistics, and linear algebra are desirable. Mathematics and statistics SPR201901 SzGeCERN Mathematical Physics and Mathematics SPR Mathematical statistics SPR Statistical Theory and Methods SPR Statistics for Life Sciences, Medicine, Health Sciences SPR Statistics for Business, Management, Economics, Finance, Insurance BOOK Ruppert, David Wand, Matt P SPR n 201902 201901 21 PUBLIC https://catalogue.library.cern/legacy/2653100 BOOK MIGRATED 2652821 20211022075040.0 oai:cds.cern.ch:2652821 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI 10.1103/PhysRevAccelBeams.22.073101 arXiv oai:arXiv.org:1812.04658 oai:inspirehep.net:1708759 https://inspirehep.net/api/oai2d Inspire 2021-10-21T22:49:32Z 2021-10-22T02:00:17Z marcxml true Inspire 1708759 arXiv arXiv:1812.04658 physics.acc-ph eng Miyazaki, A. CERN Manchester U. CERN, Switzerland University of Manchester, UK arXiv Two different origins of the Q-slope problem in superconducting niobium film cavities for a heavy ion accelerator at CERN 2019-07-04 2018-12-11 12 p arXiv Superconducting niobium film cavities deposited on copper substrates (Nb/Cu) have suffered from strong field-dependent surface resistance, often referred to as the Q-slope problem, since their invention. We argue that the Q-slope may not be an intrinsic problem, but rather originates from a combination of factors which can be revealed in appropriate environmental conditions. In this study, extrinsic effects were carefully minimized in a series of experiments on a seamless cavity. The origin of the Q-slope in low frequency cavities is traced back to two contributions with different temperature and magnetic field dependences. The first component of Q-slope, affecting the residual resistance, is caused by trapped magnetic flux which is normally suppressed by a magnetic shield for bulk niobium cavities. The second, temperature dependent component of Q-slope, is similar to the medium-field Q-slope which is well known in bulk niobium cavities. These results are compared with theoretical models and possible future studies are proposed. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ authors 2019 Publication arXiv cond-mat.supr-con arXiv physics.acc-ph SzGeCERN Accelerators and Storage Rings CERN ARTICLE Venturini Delsolaro, W. CERN CERN , 1211, Geneva 23, Switzerland 073101 Phys. Rev. Accel. Beams. 22 2019 1500662 709680 http://cds.cern.ch/record/2652821/files/10.1103_PhysRevAccelBeams.22.073101.pdf Fulltext from Publisher 2211413 7324 http://cds.cern.ch/record/2652821/files/Rfl1_vs_Rfl0_welded.png 00009 Correlation plot of $\Delta T$ sensitivity of $R_{\rm s1}$ and $R_{\rm s0}$. 2211414 23140 http://cds.cern.ch/record/2652821/files/Rs_vs_Bpk_fitted_exp.png 00000 Temperature dependent surface resistances as a function of the RF field. The corresponding temperatures are $2.4$, $3.0$, $3.5$, $4.0$, and $4.5$~K from the bottom. The solid line shows the best empirical fitting at each temperature. 2211415 6871 http://cds.cern.ch/record/2652821/files/S_vs_H.png 00003 Area distribution function of RF field $B$ over the RF surface as a weight factor of surface integral. 2211416 6975 http://cds.cern.ch/record/2652821/files/alpha_vs_T.png 00008 Temperature dependence of the empirical fitting parameter $\alpha$. The solide line shows the best linear fit without a constant term. 2211417 11058 http://cds.cern.ch/record/2652821/files/fRB_vs_RB.png 00007 Converted distribution of thermal boundary resistance. The circle points show 2.4~K data and blank square ones show 4.5~K data. 2211418 8268 http://cds.cern.ch/record/2652821/files/Rs0_Rs1_vs_Hext.png 00004 Residual surface resistances as a function of the trapped magnetic field. The circles show $R_{\rm s0}$ and the squares show $R_{\rm s1}$. 2211419 11267 http://cds.cern.ch/record/2652821/files/Q_vs_E_enhancedB.png 00002 : Quality factor as a function of accelerating gradient for an enhanced external magnetic field (100~$\mu$T). The circle points show 4.5~K and square ones show 2.4~K. The triangle points are data of intermediate temperature at fixed fields. The dashed line shows 10~W power consumption and the star is the nominal point. 2211420 47027 http://cds.cern.ch/record/2652821/files/cavity.png 00001 Cross-section view of (a) the original welded substrate and (b) the seamless substrate. 2211421 8450 http://cds.cern.ch/record/2652821/files/Rres_vs_Eacc_same.png 00005 Residual resistance due to the external field as a function of the accelerating field. The circles show the reduced-field (5~$\mu$T) cooling result, and blank squares show the data when the ambient field was about $100$~$\mu$T. 2211422 10738 http://cds.cern.ch/record/2652821/files/Q_vs_E_all_2K.png 00006 : Quality factor as a function of accelerating gradient for a reduced external magnetic field (5~$\mu$T). The circle points show 4.5~K and square ones show 2.4~K. The triangle points are data of intermediate temperature at fixed fields. The dashed line shows 10~W power consumption and the star is the nominal point. 2211423 651339 http://cds.cern.ch/record/2652821/files/1812.04658.pdf Fulltext 13 ARTICLE 2664750 SzGeCERN 20210421202822.0 9788793609846 electronic version electronic version oai:cds.cern.ch:2664750 cerncds:BOOK EBL 5649591 eng 006.22 Albano, Michele The MANTIS book cyber physical system based proactive collaborative maintenance Aalborg River Publishers 2018 626 p ebook River Publishers series in automation, control and robotics Front Cover -- Half Title Page -- RIVER PUBLISHERS SERIES IN AUTOMATION, CONTROL AND ROBOTICS -- Title Page -- Copyright Page -- Dedication Page -- Contents -- Acknowledgments -- Foreword -- List of Contributors -- List of Figures -- List of Tables -- List of Abbreviations -- Chapter 1 - Introduction -- 1.1 Maintenance Today -- 1.2 The Path to Proactive Maintenance -- 1.3 Why to Read this Book -- References -- Chapter 2 - Business Drivers of a Collaborative, Proactive Maintenance Solution -- 2.1 Introduction -- 2.1.1 CBM-based PM in Industry -- 2.1.2 CBM-based PM in Service Business -- 2.1.3 Life Cycle Cost and Overall Equipment Effectiveness -- 2.1.4 Integrating IoT with Old Equipment -- 2.1.5 CBM Strategy as a Maintenance Business Driver -- 2.2 Optimization of Maintenance Costs -- 2.3 Business Drivers for Collaborative Proactive Maintenance -- 2.3.1 Maintenance Optimisation Models -- 2.3.2 Objectives and Scope -- 2.3.3 Maintenance Standards -- 2.3.4 Maintenance-related Operational Planning -- 2.4 Economic View of CBM-based PM -- 2.5 Risks in CBM Plan Implementation -- 2.5.1 Technology -- 2.5.2 People -- 2.5.3 Processes -- 2.5.4 Organizational Culture -- References -- Chapter 3 - The MANTIS Reference Architecture -- 3.1 Introduction -- 3.1.1 MANTIS Platform Architecture Overview -- 3.2 The MANTIS Reference Architecture -- 3.2.1 Related Work and Technologies -- 3.2.1.1 Reference architecture for the industrial internet of things -- 3.2.1.2 Data processing in Lambda -- 3.2.1.3 Maintenance based on MIMOSA -- 3.2.2 Architecture Model and Components -- 3.2.2.1 Edge tier -- 3.2.2.2 Platform tier -- 3.2.2.3 Enterprise tier -- 3.2.2.4 Multi stakeholder interactions -- 3.3 Data Management -- 3.3.1 Data Quality Considerations -- 3.3.2 Utilization of Cloud Technologies -- 3.3.3 Data Storages in MANTIS -- 3.3.4 Storage Types -- 3.3.4.1 Big data file systems. 3.3.4.2 NoSQL databases -- 3.4 Interoperability and Runtime System Properties -- 3.4.1 Interoperability Reference Model -- 3.4.2 MANTIS Interoperability Guidelines -- 3.4.2.1 Conceptual and application integration -- 3.4.2.2 System interaction model -- 3.4.2.2.1 MANTIS event model -- 3.4.2.2.2 Patterns for interactions -- 3.4.2.3 Implementation integration -- 3.5 Information Security Model -- 3.5.1 Digital Identity -- 3.5.2 Information Mo -- 3.5.3 Control Access Policy Specification -- 3.5.4 Additional Requirements -- 3.6 Architecture Evaluation -- 3.6.1 Architecture Evaluation Goals, Benefits and Activities -- 3.6.2 Concepts and Definitions -- 3.6.3 Architecture Evaluation Types -- 3.7 Conclusions -- References -- Chapter 4 - Monitoring of Critical Assets -- 4.1 The Industrial Environment -- 4.1.1 Extreme High/Low Temperatures (Ovens, Turbines, Refrigeration Chambers etc.) -- 4.1.2 High Pressure Environments (Pneumatic/Hydraulic Systems, Oil Conductions, Tires etc.) -- 4.1.3 Nuclear Radiation (Reactors or Close and Near-By Areas) -- 4.1.4 Abrasive or Poisonous Environments -- 4.1.5 Presence of Explosive Substances or Gases -- 4.1.6 Rotating or Moving Parts -- 4.2 Industrial Sensor Characteristics -- 4.2.1 Passive Wireless Sensors -- 4.2.2 Low-Cost Sensor Solution Research -- 4.2.3 Soft Sensor Computational Trust -- 4.3 Bandwidth Optimization for Maintenance -- 4.3.1 Reduced Data Amount and Key Process Indicators (KPI) -- 4.3.2 Advanced Modulation Schemes -- 4.3.3 EM Wave Polarization Diversity -- 4.4 Wireless Communication in Challenging Environments -- 4.4.1 Design Methodology Basis -- 4.4.2 Requirement and Challenge Identification -- 4.4.3 Channel Measurement -- 4.4.4 Interference Detection and Characterization -- 4.4.5 PHY Design/Selection and Implementation -- 4.4.5.1 Single/multi carrier -- 4.4.5.2 High performance/low power. 4.4.6 MAC Design/Selection and Implementation -- 4.4.6.1 Real-time/deterministic MACs -- 4.4.6.2 Low-power MACs -- 4.4.6.3 High level protocols for error mitigation -- 4.4.7 System Validation -- 4.4.7.1 Channel emulation -- 4.4.7.2 Performance tests -- 4.5 Intelligent Functions in the Sensors and Edge Servers -- 4.5.1 Intelligent Function: Self-Calibration -- 4.5.1.1 Practical application: Press machine torque sensor -- 4.5.1.2 Practical application: X-ray tube cathode filament monitoring -- 4.5.1.3 Practical application: Compressed air system -- 4.5.2 Intelligent Function: Self-Testing (Self-Validating) -- 4.5.2.1 Practical application: Oil tank system -- 4.5.2.2 Practical application: Air and water flow and temperature sensor -- 4.5.2.3 Practical application: Sensors for the photovoltaic plants -- 4.5.3 Intelligent Function: Self-Diagnostics -- 4.5.3.1 Practical application: Environmental parameters -- 4.5.3.2 Practical application: Intelligent process performance indicator -- 4.5.4 Smart Function: Formatting -- 4.5.4.1 Practical applications: Compressed air system -- 4.5.5 Smart Function: Enhancement -- 4.5.5.1 Practical application: Air and water flow and temperature -- 4.5.5.2 Practical application: Railway strain sensor -- 4.5.5.3 Practical application: Conventional energy production -- 4.5.6 Smart Function: Transformation -- 4.5.6.1 Practical application: Pressure drop estimation -- 4.5.7 Smart Function: Fusion -- 4.5.7.1 Practical application: Off-road and special purpose vehicle -- 4.5.7.2 Practical application: MR magnet monitoring (e-Alert sensor) -- 4.5.7.3 Practical application: MR critical components -- References -- Chapter 5 - Providing Proactiveness: Data Analysis Techniques Portfolios -- 5.1 Introduction -- 5.2 Root Cause Failure Analysis -- 5.2.1 Theoretical Background -- 5.2.2 Techniques Catalogue -- 5.2.2.1 Support vector machine. 5.2.2.2 Limit and trend checking -- 5.2.2.3 Partial least squares regression -- 5.2.2.4 Bayesian network -- 5.2.2.5 Artificial neural network -- 5.2.2.6 K-means clustering -- 5.2.2.7 Attribute oriented induction -- 5.2.2.8 Hidden Markov model -- 5.3 Remaining Useful Life Identification of Wearing Components -- 5.3.1 Theoretical Background -- 5.3.2 Techniques Catalogue -- 5.3.3 Physical Modelling -- 5.3.3.1 Industrial automation -- 5.3.3.2 Fleet's maintenance -- 5.3.3.3 Eolic systems -- 5.3.3.4 Medical systems -- 5.3.4 Artificial Neural Networks -- 5.3.4.1 Deep neural networks -- 5.3.5 Life Expectancy Models -- 5.3.5.1 Time series analysis with attribute oriented induction -- 5.3.5.2 Application to a pump -- 5.3.5.3 Application to industrial forklifts -- 5.3.5.4 Application to a gearbox -- 5.3.6 Expert Systems -- 5.4 Alerting and Prediction of Failures -- 5.4.1 Theoretical Background -- 5.4.2 Techniques Catalogue -- 5.4.2.1 Nearest neighbour cold-deck imputation -- 5.4.2.2 Support vector machine -- 5.4.2.3 Linear discriminant analysis -- 5.4.2.4 Pattern mining -- 5.4.2.5 Temporal pattern mining -- 5.4.2.6 Principal component analysis -- 5.4.2.7 Hidden Semi-Markov model with Bayes classification -- 5.4.2.8 Autoencoders -- 5.4.2.9 Convolutional neural network with Gramian angular fields -- 5.4.2.10 Recurrent neural network with long-short-term memory -- 5.4.2.11 Change detection algorithm -- 5.4.2.12 Fisher's exact test -- 5.4.2.13 Bonferroni correction -- 5.4.2.14 Hypothesis testing using univariate parametric statistics -- 5.4.2.15 Hypothesis testing using univariate non-parametricstatistics -- 5.4.2.16 Mean, thresholds, normality tests -- 5.5 Examples -- 5.5.1 Usage Patterns/k-means -- 5.5.1.1 Data analysis -- 5.5.1.2 Results -- 5.5.1.2.1 Plotting -- 5.5.1.2.2 Replicability of results -- 5.5.1.2.3 Summary of results. 5.5.2 Message Log Prediction Using LSTM -- 5.5.2.1 Data interpretation and representation -- 5.5.2.1.1 Litronic dataset -- 5.5.2.1.2 Data representation -- 5.5.2.2 Predictive models -- 5.5.2.3 Results -- 5.5.2.3.1 Evaluation of predictive models on small number of samples -- 5.5.2.3.2 Evaluation of the ID-LSTM on OHE codes for more significant number of samples -- 5.5.2.4 Discussion -- 5.5.3 Metal-defect Classification -- 5.5.3.1 Data collection -- 5.5.3.2 Experiments -- 5.5.3.3 Discussion -- References -- Chapter 6 - From KPI Dashboards to Advanced Visualization -- 6.1 HMI Functional Specifications and Interaction Model -- 6.1.1 HMI Design Principle Followed in the MANTIS Project -- 6.1.2 MANTIS HMI Specifications -- 6.1.2.1 Functional specifications -- 6.1.2.2 General requirements -- 6.1.3 MANTIS HMI Model -- 6.1.3.1 Functionalities supporting high level tasks -- 6.1.4 HMI Design Recommendations -- 6.1.5 MANTIS Platform Interface Requirements -- 6.1.5.1 Analysis of different interface types -- 6.1.5.2 PC HMI -- 6.1.6 Recommendations for Platform Selection -- 6.1.6.1 Web-based HMI -- 6.1.6.2 Responsive design -- 6.1.7 Interface Design Recommendations for MANTIS Platform -- 6.2 Adaptive Interfaces -- 6.2.1 Context-awareness Approach -- 6.2.1.1 Context and context awareness fundamentals -- 6.2.1.2 Context lifecycle in context-aware applications -- 6.2.1.3 Adaptive and intelligent HMIs -- 6.2.1.4 Context awareness for fault prediction and maintenance optimisation -- 6.2.1.5 Context awareness for maintenance personalisation and decision-making -- 6.2.1.6 Context awareness approaches in a proactive collaborative maintenance platform -- 6.2.2 Interaction Based/Driven Approach -- 6.2.2.1 Introduction -- 6.2.2.2 Navigation tracking and storage -- 6.2.2.3 Action logs -- 6.3 Advanced Data Visualizations for HMIs -- 6.3.1 Visualization of Raw Data. 6.3.1.1 Visualisation tools overview. EBL201902 Computing and Computers SzGeCERN BOOK Jantunen, Erkki Papa, Gregor Zurutuza, Urko https://cds.cern.ch/auth.py?r=EBLIB_P_5649591 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2664750 BOOK MIGRATED 2664748 SzGeCERN 20210421202823.0 9781785616297 electronic version electronic version 9781785616297 print version 9781785616303 electronic version electronic version oai:cds.cern.ch:2664748 cerncds:BOOK EBL 5649124 eng 006.3 Tan, Ying Swarm intelligence innovation, new algorithms and methods Stevenage Institution of Engineering & Technology 2018 544 p ebook Control, robotics and sensors Intro -- Contents -- Preface -- About the editor -- List of technical reviewers -- List of additional reviewers -- Acknowledgments -- 1: Standard fireworks algorithm 2017 (Yifeng Li and Ying Tan) -- Abstract -- 1.1 Introduction to fireworks algorithms -- 1.1.1 Principle of fireworks algorithm -- 1.1.2 Explosion -- 1.1.3 Dynamic search fireworks algorithm -- 1.1.4 Exponentially decreased dimension number strategy based dynFWA -- 1.1.5 Fireworks algorithm with adaptive transfer function -- 1.1.6 Fireworks algorithm with covariance mutation -- 1.1.7 Guided fireworks algorithm -- 1.1.8 Cooperative framework of fireworks algorithm -- 1.1.9 Other unpublished works -- 1.2 Design of experiments -- 1.2.1 Test environment -- 1.2.2 Parameters and operators setting -- 1.2.3 Experimental procedures -- 1.2.4 Experiments results -- 1.3 Analysis of the results -- 1.3.1 Analysis of step one -- 1.3.2 Analysis of step two -- 1.3.3 Analysis of step three -- 1.3.4 Comparing with former FWAs -- 1.3.5 Summary and some further discuss -- 1.4 Conclusion and prospect -- Acknowledgments -- References -- 2: Guided fireworks algorithm applied to multilevel image thresholding (Eva Tuba and Milan Tuba) -- Abstract -- 2.1 Introduction -- 2.2 Literature review -- 2.3 Multilevel digital image thresholding -- 2.3.1 Kapur's thresholding method -- 2.3.2 Otsu's thresholding method -- 2.3.3 Thresholding based on Tsallis' entropy -- 2.4 Guided fireworks algorithm for multilevel thresholding -- 2.5 Simulation results -- 2.6 Conclusion -- Acknowledgment -- References -- 3: Credit card number encryption using firework-based key generation (N.K. Sreelaja and N.K. Sreeja) -- Abstract -- 3.1 Introduction -- 3.2 Related work -- 3.3 Fireworks algorithm -- 3.4 Credit card number encryption (CCE) algorithm -- 3.4.1 Representing credit card number as a binary image. 3.4.2 Encoding the binary image -- 3.4.3 Encrypting the credit card number image -- 3.5 Case study -- 3.6 Experimental results -- 3.7 Comparison of CCE algorithm with existing methods -- 3.7.1 Comparison of CCE algorithm with FFSEM -- 3.7.2 Comparison of CCE algorithm with FPE from a prefix cipher -- 3.7.3 Comparison of CCE algorithm with FPE from cycle walking -- 3.7.4 Comparison of CCE algorithm with pseudorandom bit sequence generator for stream cipher based on elliptic curves -- 3.7.5 Comparison of CCE algorithm with link encryption algorithm -- 3.7.6 Comparison of CCE algorithm with RC4 method -- 3.7.7 Comparison of CCE algorithm with Vernam cipher -- 3.7.8 Comparison of CCE algorithm with chaos based image encryption -- 3.7.9 Comparison of CCE algorithm with AKGBE algorithm -- 3.8 Analysis of security of CCE algorithm -- 3.8.1 Key space -- 3.8.2 Attack model -- 3.8.3 Statistical analysis -- 3.9 Conclusions -- References -- 4: ST (Shafiabady-Teshnehlab) optimization algorithm (Niusha Shafiabady) -- Abstract -- 4.1 Introduction -- 4.2 Computational swarm intelligence and ST optimization algorithm -- 4.3 ST optimization algorithm -- 4.3.1 The procedure of ST optimization algorithm -- 4.3.2 Evaluation of performance of ST optimization algorithm -- 4.4 Applications of ST optimization algorithm -- 4.5 Summary -- References -- 5: Predator-prey optimization with heterogeneous swarms (Arlindo Silva and Ana Paula Neves) -- Abstract -- 5.1 Introduction -- 5.2 The algorithms -- 5.2.1 The standard particle swarm optimizer -- 5.2.2 The scouting predator-prey optimizer -- 5.3 Experimental setup -- 5.3.1 Benchmark algorithms -- 5.4 Experimental results -- 5.4.1 Global results -- 5.4.2 Intermediate results -- 5.4.3 Results for the knowledge-based scout particle -- 5.5 Conclusions -- References. 6: A novel modified ant lion optimizer algorithm: extension to proposed 4D-TC (Subhabrata Banerjee and Sudipta Chattopadhyay) -- Abstract -- 6.1 Introduction -- 6.2 Literature review -- 6.3 Algorithms -- 6.3.1 Particle swarm optimization algorithm -- 6.3.2 Harmony search optimization algorithm -- 6.3.3 Cuckoo search algorithm -- 6.3.4 Ant lion optimization algorithm -- 6.3.5 Proposed modified ant lion optimization algorithm -- 6.4 Results -- 6.5 Applications -- 6.5.1 System model -- 6.5.2 Problem formulation -- 6.5.3 Pseudo code -- 6.5.4 Results -- 6.5.5 Discussion -- 6.6 Conclusion -- References -- 7: Push-pull glowworm swarm optimization algorithm for multimodal functions (Shashi Barak, Varun J. Kompella, Krishnanand N. Kaipa, and Debasish Ghose) -- Abstract -- 7.1 Introduction -- 7.2 Push-pull glowworm swarm optimization (PPGSO) algorithm -- 7.2.1 Algorithm description -- 7.3 Simulation experiment to illustrate PPGSO -- 7.4 Multimodal test functions -- 7.4.1 Performance of PPGSO on benchmark multimodal functions -- 7.5 Comparison of PPGSO with GSO -- 7.6 Experimental results with the Stage simulation software -- 7.6.1 PPGSO with obstacle avoidance -- 7.6.2 Performance on test functions -- 7.6.3 Comparing PPGSO with GSO -- 7.7 Conclusion -- Acknowledgment -- References -- 8: Firefly algorithm and its applications (Xiujuan Lei, Yuchen Zhang, Jie Zhao, Shi Cheng, and Ying Tan) -- Abstract -- 8.1 Introduction -- 8.2 Firefly algorithm and numerical optimization -- 8.2.1 Standard firefly algorithm -- 8.2.2 Fireworks-firefly algorithm -- 8.2.3 Experiments for numerical optimization -- 8.3 Clustering using improved firefly algorithm -- 8.3.1 Clustering problem description -- 8.3.2 Clustering using improved FA algorithm -- 8.3.3 Implementation and results -- 8.4 Identifying protein complexes by firefly clustering algorithm. 8.4.1 Constructing weighted dynamic PPI network -- 8.4.2 PPI firefly clustering algorithm -- 8.4.3 Experiments and discussion -- 8.5 Conclusion and discussion -- References -- 9: The optimization dialectical method for the multiple sequences alignment problem (Rodrigo Gomes de Souza,Wellington Pinheiro dos Santos, and Manoel Eusébio de Lima) -- Abstract -- 9.1 Introduction -- 9.2 Materials and methods -- 9.2.1 Optimization dialectical method -- 9.2.2 Modeling -- 9.2.3 Choice of the number of gaps to be used -- 9.2.4 Objective function modeling -- 9.2.5 Synthetic database -- 9.2.6 Experiments -- 9.2.7 Tuning ODM -- 9.3 Results -- 9.4 Discussion and conclusion -- References -- 10: A new binary moth-flame optimization algorithm (BMFOA) - development and application to solve unit commitment problem (K. Srikanth Reddy, Lokesh Panwar, B.K. Panigrahi, and Rajesh Kumar) -- Abstract -- 10.1 Introduction -- 10.2 Problem formulation -- 10.2.1 Nomenclature -- 10.2.2 Objective -- 10.2.3 Constraints -- 10.3 Binary moth-flame optimization algorithm -- 10.3.1 Overview of MFOA -- 10.3.2 Continuous valued MFOA -- 10.3.3 Binary moth-flame optimization algorithm -- 10.4 BMFOA implementation to UC problem -- 10.4.1 Constraint repair -- 10.5 Numerical results and discussion -- 10.6 Statistical analysis -- 10.6.1 Friedman test -- 10.6.2 Friedman aligned ranks test -- 10.6.3 Wilcoxon pairwise test -- 10.6.4 Quade test -- 10.7 Conclusion -- References -- 11: Binary whale optimization algorithm for unit commitment problem in power system operation (K. Srikanth Reddy, Lokesh Panwar, B.K. Panigrahi, and Rajesh Kumar) -- Abstract -- 11.1 Introduction -- 11.2 Problem formulation -- 11.2.1 Nomenclature -- 11.2.2 Objective -- 11.2.3 Constraints -- 11.3 Binary whale optimization algorithm -- 11.3.1 Overview ofWOA -- 11.3.2 Continuous valuedWOA. 11.4 BWOA implementation to UC problem -- 11.4.1 Representation of binary variables of UC problem -- 11.4.2 Binary whale position initialization -- 11.4.3 Binary whale position update -- 11.4.4 Binary valued solution for UC schedule -- 11.4.5 Unit output continuous valued variables -- 11.4.6 Termination criteria -- 11.4.7 Constraint handling -- 11.5 Numerical results and discussion -- 11.5.1 Performance of BWOA for test system 1 -- 11.5.2 Performance of BWOA for test system 2 -- 11.5.3 Comparison of proposed approaches with various other approaches -- 11.6 Statistical analysis -- 11.6.1 Friedman test -- 11.6.2 Friedman aligned ranks test -- 11.6.3 Wilcoxon pairwise comparison -- 11.7 Conclusion -- References -- 12: Real-coded grey wolf optimisation algorithm for progressive thermal power system unit commitment (S. Ganesan, M. Abirami, J. Rameshkumar, and S. Subramanian) -- Abstract -- 12.1 Soft computing techniques -- 12.1.1 Evolution of algorithms -- 12.1.2 Modern bio-inspired algorithms -- 12.2 Grey wolf optimisation algorithm-brief -- 12.2.1 Development of GWO -- 12.2.2 Mathematical modelling of GWO -- 12.3 Real-coded GWO to thermal unit commitment -- 12.3.1 Thermal unit commitment model -- 12.3.2 Prior art for cost-effective thermal UC -- 12.3.3 Development of real-coded GWO -- 12.3.4 Managing multiple objectives and constraints -- 12.3.5 RCGWO implementation for UC solution -- 12.4 Validation of RCGWO through practical/standard test systems -- 12.4.1 Cost-effective operation -- 12.4.2 Economic/environmental operation -- 12.4.3 Economic/environmental/reliable operation -- 12.4.4 Practical case studies -- 12.5 Performance evaluation of RCGWO -- 12.5.1 Selection of search agents -- 12.5.2 Robustness test -- 12.5.3 Statistical measures -- 12.6 Summary -- References. 13: Application of grey wolf optimization in fuzzy controller tuning for servo systems (Radu-Codrut David, Radu-Emil Precup, Stefan Preitl, Alexandra-Iulia Szedlak-Stinean, and Lucian-Ovidiu Fedorovici). This book includes 17 chapters and covers front-edge research with novel and newly proposed algorithms and methods of swarm intelligence. EBL201902 Computing and Computers SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5649124 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2664748 BOOK MIGRATED 2664669 SzGeCERN 20210421202831.0 9780429761867 electronic version electronic version 9781138386617 electronic version electronic version 9781138386617 print version oai:cds.cern.ch:2664669 cerncds:BOOK EBL 5625265 eng QA76.76.E95 .K646 2018 006.33 Kohout, Ladislav J Knowledge-based systems for multiple environments Milton Routledge 2018 399 p ebook Routledge revivals Cover -- Half Title -- Title -- Copyright -- TABLE OF CONTENTS -- ABOUT THE EDITORS -- LIST OF CONTRIBUTORS -- PREFACE -- PART I MULTIPLE ENVIRONMENTS AND MULTIPLE CONTEXTS IN KNOWLEDGE ENGINEERING -- CHAPTER 1 Introducing Multi-environmental and Multi-Context Knowledge-Based Systems: A New Approach -- 1.1. Why Multiple Environments? -- 1.2. What is a Multi-environmental Knowledge-based System? -- 1.3. Multi-environments in Non-medical Knowledge Domain -- 1.4. What is Multi-context and Why Should It Be Introduced? -- 1.5. The Need for a Multi-environmental Design Approach -- 1.6. Three Essential Features of Multi-environmental Knowledge based Systems: Acceptability, Reliability and Protectability -- 1.7. Multi-environmental Reliability of Knowledge -- 1.8. Testing Knowledge Structures: Their Multi-context Acceptability and Multi-environmental Reliability -- 1.9. References -- CHAPTER 2 What is a Multiple Environment and How Does It Affect The Function of a Knowledge-based System? -- 2.1. Introduction -- 2.2. Expert System Shells -- 2.3. Multi-environment Medical Aspects -- 2.4. Dissimilar Components of Medical Environments -- 2.5. The Main Aspects of the Multi-environmental Problem -- 2.6. R eferen ces -- CHAPTER 3 A Framework for Transfer of Expert Systems Between Environments -- 3.1. Systemic O rien tations -- 3.2. Engineering and Technical Orientations -- 3.3. Transfer-A Key Problem of Multi-environmental Knowledge Engineering -- 3.4. Systematicity of Expert Systems -- 3.5. A Relational View of Expert Systems -- 3.6. Paradigmatic Aspects -- 3.7. Summary -- 3.8. References -- CHAPTER 4 Impact of Multiple Environments on the Functioning of Medical and Other Knowledge-Based Systems -- 4.1. Introduction -- 4.2. Historical Perspectives in the Development of Multiple Medical Environments -- 4.3. Shared Environments. 4.4. Impact of Multiple Environments in Health Care -- 4.5. Support and Record Systems -- 4.6. Transfer of Constructs to Other Fields -- 4.7. Conclusions -- 4.8. REFERENCES -- CHAPTER 5 Activity Structures: A Methodology for Design of Multi­environment and Multi-context Knowledge-based Systems -- 5.1. What are Activity Structures? -- 5.2. Activity Structures as a Tool for Analysis and Synthesis of Information Processing Machines -- 5.3. Towards a Design of a Reliable, Correct, Robust and User-friendly Multi-Environmental Computing System -- 5.4. Analysis and Evaluation of Information Processing Machines by Means of Activity Structures -- 5.5. Knowledge Identification, Elicitation and Representation -- 5.6. Realisation of Substratum Structures by Means of Virtual Machines -- 5.7. Functional Refinements of Activity Structures -- 5.8. General Systems Constructs in Activity Structures Approach -- 5.9. References -- PART II METHODS OF KNOWLEDGE ELICITATION -- CHAPTER 6 Knowledge Elicitation - An Exercise in Identification and Verification of Expert Knowledge -- 6.1. Introduction -- 6.2. Problems in Knowledge Elicitation -- 6.3. Expertise and the Expert -- 6.4. Expertise and Knowledge Elicitation -- 6.5. Methods of Knowledge Elicitation -- 6.6. Results of a Medical Case Study -- 6.7. Summary -- 6.8. References -- CHAPTER 7 Knowledge Elicitation-The First Step Towards the Construction of Expert Systems: The outline of a Method -- 7.1. Introduction -- 7.2. Is the Human Expert an Essential Component? -- 7.3. An Overview of a Complete Construction Process -- 7.4. Analysis of Knowledge S tructures -- 7.5. The Main Results of a Knowledge Elicitation Experiment -- 7.6. Knowledge Elicitation:The First Step Towards Construction of Expert Systems -- 7.7. References -- CHAPTER 8 Linking Argumentative Discourse with Formal Evaluation Procedures in Design. 8.1. The Problem: The Proper Basis for Decisions -- 8.2. Preliminaries: procedural building blocks -- 8.3. Interface Points Between the Argumentative Process and Evaluation -- 8.4. A Procedure for Decision-making Through Systematic Argument Evaluation -- 8.5. Conclusion -- 8.6. References -- CHAPTER 9 Problems of Knowledge Elicitation in Insurance -- 9.1. Introduction -- 9.2. Knowledge Elicitation -- 9.3. Concepts and Terminology in Insurance -- 9.4. Context in Insurance -- 9.5. Bounds to Contexts -- 9.6. Questioning Strategy -- 9.7. Conclusions -- 9.8. References -- PART III DESIGN OF KNOWLEDGE-BASED SYSTEMS AND ROBOTS FOR MULTI-ENVIRONMENTAL SITUATIONS -- CHAPTER 10 An Overview of Clinaid -- 10.1. Generic Specification of Medical Knowledge-based Decision Support System Clinaid -- 10.2. An Overview of Functions of Clinaid and Specification of Its Activities -- 10.3. The Role of Activity Structures in the Design of Clinaid -- 10.4. The Global Description of the Activity Structure of Clinaid -- 10.5. Multi-context Fuzzy Inference of Clinaid -- 10.6. Formalization of Clinical Management Activities -- 10.7. Time and Context in Decision Planning -- 10.8. References -- CHAPTER 11 Design of Questioning Strategies for Knowledge-based Systems -- 11.1. Expert System Needs a Questioning Strategy -- 11.2. The Basic Concepts of the Questioning Strategy -- 11.3. Questioning Strategies in Fuzzy Knowledge-based Systems -- 11.4. Realisation of a Questioning Strategy in Clinaid -- 11.5. Effective Questioning Strategies for a Multi-environmental Situation -- 11.6. Conclusion -- 11.7. References -- CHAPTER 12 Concurrency in Clinaid -- 12.1. Requirement for Concurrency -- 12.2. Blackboards and Whiteboards -- 12.3. Two Substratum Structures to Support Concurrency -- 12.4. Functional Structures and Concurrency -- 12.5. Summary -- 12.6. References. CHAPTER 13 Distributed Architectures for Computer Aided Manufacturing (CAM) and Other Embedded Robotic Systems -- 13.1. Introduction -- 13.2. The Structure of the Reconfigurable Architectural Modules of a Multi-Environmental System Shell -- 13.3. Methods for Embedding Knowledge into the Empty Shells of Active Multi-Environmental Systems -- 13.4. Skeleton Knowledge Structures of a Knowledge-based System Employing Deep Knowledge -- 13.5. A Multi-environmental Robotic System -- 13.6. Basic Characteristics of Functional Environmental Activity Structures for Directing a Computer-assisted Manufacturing Process -- 13.7. References -- CHAPTER 14 Towards a Design of a Real-time Adaptive Robot for Multiple Environments: Part I - Basic Design and the First Experiments -- 14.1. Introduction -- 14.2. A Blueprint for the Design of an Adaptive Real-time Mobile System for a Multi-environmental Situation -- 14.3. Initial Selection Criteria for the Robot Hardware -- 14.4. The First Set of Experim ents -- 14.5. The Second Set of Experim ents -- 14.6. Consequences of the Experiments for the Design Blueprint of a Multi-environmental Robot -- 14.7. Computer Simulation of Real Environments -- 14.8. Appendix -- 14.9. References -- CHAPTER 15 The Design of the House as a System in Multi-environmental Space -- 15.1. Introduction -- 15.2. The Idea of the House -- 15.3. The "Aspatial Structure" -- 15.4. Environment and Meaning -- 15.5. Context and Meaning -- 15.6. Multi-environments -- 15.7. The Ensemble: Is Symbolic Design Possible? -- 15.8. References -- PART IV METHOD FOR DESIGN VALIDATION OF MULTI-ENVIRONMENTAL KNOWLEDGE-BASED SYSTEMS -- CHAPTER 16 The Use of Fuzzy Relational Products in Comparison and Verification of Correctness of Knowledge Structures -- 16.1. Introduction -- 16.2. Sources of Endocrine Medical Knowledge -- 16.3. TRISYS - The Automatic Processing Package. 16.4. Semantic Meaning of Relational Products -- 16.5. Criteria for Selecting the Appropriate Implication Operators -- 16.6. The Comparison and Evaluation of the Endocrine Knowledge Structures by Means of the Appropriate Implication Operators -- 16.7. Substratum Classification of Endocrine Knowledge Structures -- 16.8. ACKNOWLEDGMENT -- 16.9. References -- CHAPTER 17 Development of the Support Tools and Methodology for Design and Validation of Multi-environmental Computer Architectures -- 17.1. The Role of Activity Structures in the Design and Performance Evaluation of Multi-environmental Architectures -- 17.2. The Objectives of Our Approach -- 17.3. Possibilistic Design Process -- 17.4. A Tool for Possibilistic Design of Multi-environmental Well-protected Computer Architectures -- 17.5. Describing the Activities of the Possibilistic Simulator by Means of Activity Structures -- 17.6. References -- PART V EPILOGUE -- CHAPTER 18 Knowledge as a Confidential Marketable Commodity: Cultural Danger or Economic Blessing? -- 18.1. Introduction -- 18.2. Knowledge as a Marketable Commodity -- 18.3. Structure of the Knowledge-based System -- 18.4. The Distinction Between Surface Knowledge and Deep Knowledge -- 18.5. The Distinction Between Basic and Purpose-oriented Knowledge -- 18.6. Consequences of the Withdrawal of Knowledge From Open Circulation -- 18.7. Knowledge Structures Within the Context of a Culture -- 18.8. Conclusion: The Need for Technological Artefacts Capable of Adapting to the Dynamic Changes of the Environment -- 18.9. References -- SUBJECT INDEX. EBL201902 Computing and Computers SzGeCERN BOOK Anderson, John Bandler, Wyllis https://cds.cern.ch/auth.py?r=EBLIB_P_5625265 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2664669 BOOK MIGRATED 2664663 SzGeCERN 20200503232030.0 9780429873041 electronic version electronic version 9781138611696 electronic version electronic version 9781138611696 print version oai:cds.cern.ch:2664663 cerncds:BOOK EBL 5622696 eng 658.4/08/0941 Marinetto, Michael Corporate social involvement social, political and environmental issues in Britain and Italy Milton Routledge 2018 244 p Routledge revivals Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgements -- Preface -- 1 Introduction: Issues in the Study of Corporate Social Responsibility -- Part One: A History of Corporate Philanthropy in Britain -- 2 The Early Foundations of Commercial Philanthropy -- 3 The New Corporations and their Responsibilities -- Part Two: The Modern Era -- 4 Rejuvenating Local Economies through Enterprise -- 5 Befriending the Environment -- Part Three: Corporate Philanthropy in Italy -- 6 Civic Activism and the Origins of Industrial Philanthropy in Italy -- 7 State-Private Enterprises and Social Action -- 8 The Aesthetic Motive: Corporate Patronage of Cultural Heritage in Italy -- 9 Conclusion -- Appendix: Research Materials -- References -- Author Index -- Subject Index. https://cds.cern.ch/auth.py?r=EBLIB_P_5622696 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664631 SzGeCERN 20200128202338.0 9780367023348 electronic version electronic version 9780367023348 print version 9780429681608 electronic version electronic version oai:cds.cern.ch:2664631 cerncds:BOOK EBL 5615449 eng TK3271 .S333 2019 621.319/24 Scaddan, Brian Electrical installation work 9th ed. Milton Routledge 2018 333 p Cover -- Half Title -- Title -- Copyright -- Contents -- Preface -- CHAPTER 1 Basic Information and Calculations -- Units -- Multiples and Submultiples of Units -- Indices -- Self-Assessment Questions -- Simple Algebra -- Formulae or Equations -- Manipulation or Transposition of Formulae -- Self-Assessment Questions -- The Theorem of Pythagoras -- Basic Trigonometry -- Self-Assessment Questions -- Areas and Volumes -- CHAPTER 2 Electricity -- Molecules and Atoms -- Potential Difference -- Electron Flow and Conventional Current Flow -- Conductors and Insulators -- Electrical Quantities -- Ohm's Law -- Electricity and the Human Body -- Measuring Current and Voltage -- Types and Sources of Supply -- Voltage Bands -- Components of a Circuit -- Self-Assessment Questions -- CHAPTER 3 Resistance, Current and Voltage, Power and Energy -- Resistance -- Voltage Drop -- Power: Symbol, P -- Unit, Watt (W ) -- Electrical Energy: Symbol, W -- Unit, kilowatt-hour (kWh) -- Self-Assessment Questions -- CHAPTER 4 Electromagnetism -- Magnetism -- Electromagnetism -- Application of Magnetic Effects -- Drawing the Waveform of an Alternating Quantity -- Addition of Waveforms -- Root-Mean-Square (r.m.s.) Value -- Average Value -- Three-Phase a.c. Generator -- Inductance: Symbol, L -- Unit, Henry (H) -- Induced e.m.f. Due to Change in Flux -- Self-Inductance -- Mutual Inductance: Symbol, M -- Unit, Henry (H) -- Time Constant: Symbol, T -- Graphical Derivation of Current Growth Curve -- Energy Stored in a Magnetic Field -- Inductance in a.c. Circuits -- Resistance and Inductance in Series (R-L Circuits) -- Impedance: Symbol, Z -- Unit, Ohm (Ω) -- Resistance and Inductance in Parallel -- Power in a.c. Circuits -- Transformers -- Self-Assessment Questions -- CHAPTER 5 Capacitors and Capacitance -- Capacitors -- Capacitance: Symbol, C -- Unit, Farad (F). Dimensions of Capacitors -- Capacitors in Series -- Capacitors in Parallel -- Capacitors in d.c. Circuits -- Capacitance in a.c. Circuits -- Capacitive Reactance: Symbol, Xc -- Unit, Ohm (Ω) -- Resistance and Capacitance in Series -- Resistance and Capacitance in Parallel -- Working Voltage -- Applications of Capacitors -- Self-Assessment Questions -- CHAPTER 6 Resistance, Inductance and Capacitance in Installation Work -- PF Improvement -- Self-Assessment Questions -- CHAPTER 7 Three-Phase Circuits -- Star and Delta Connections -- Current and Voltage Distribution -- Measurement of Power in Three-Phase Systems -- Self-Assessment Questions -- CHAPTER 8 Motors and Generators -- Direct-Current Motors -- The a.c. Motors -- Starters -- Installing a Motor -- Fault Location and Repairs to a.c. Machines -- Power Factor of a.c. Motors -- Motor Ratings -- Self-Assessment Questions -- CHAPTER 9 Cells and Batteries -- General Background -- The Primary Cell -- The Secondary Cell -- Cell and Battery Circuits -- Self-Assessment Questions -- CHAPTER 10 Illumination and ELV Lighting -- Light Sources -- Lamp Types -- Calculation of Lighting Requirements -- Self-Assessment Questions -- CHAPTER 11 Electricity, the Environment and the Community -- Environmental Effects of the Generation of Electricity -- Micro-Renewable Energy -- Heat-Producing Renewables -- Electricity-Producing Renewables -- Co-Generation -- Water Conservation -- The Purpose and Function of the National Grid -- Generation, Transmission and Distribution Systems -- The Aesthetic Effects of the Siting of Generation and Transmission Plant -- CHAPTER 12 Health and Safety -- Safety Regulations -- The Health and Safety at Work Act 1974 -- Electricity at Work Regulations 1989 -- Personal Protective Equipment Regulations (PPE) 1992 -- Construction (Design and Management) Regulations. Control of Substances Hazardous to Health Regulations -- Chemicals (Hazardous Information and Packaging for Supply) Regulations (CHIP) 2009 -- Working at Height Regulations 2005 -- Control of Asbestos Regulations 2002 -- The Building Regulations -- General Safety -- The Mechanics of Lifting and Handling -- Work, Load and Effort -- Access Equipment -- The Joining of Materials -- Fire Safety -- Electrical Safety -- First Aid -- Electric Shock -- CHAPTER 13 The Electrical Contracting Industry -- Sample Specification -- Cost of Materials and Systems -- CHAPTER 14 Installation Materials and Tools -- Cables -- Jointing and Terminations -- Plastics -- Cable Management Systems -- Fixing and Tools -- Comparison of Systems -- Self-Assessment Questions -- CHAPTER 15 Installation Circuits and Systems -- Lighting Circuits -- Lighting Layouts -- Power Circuits -- Space Heating Systems -- Radiant or Direct Heating -- Thermostats -- Installation Systems -- Industrial Installations -- Multi-Storey Commercial or Domestic Installations -- Off-Peak Supplies -- Alarm and Emergency Systems -- Call Systems -- Emergency Lighting Systems -- Central Heating Systems -- Extra-Low-Voltage Lighting -- Choice of System -- Special Locations -- CHAPTER 16 Earthing and Bonding -- Earth: What It Is, and Why and How We Connect To It -- Earth Electrode Resistance -- Earthing Systems -- Earth Fault Loop Impedance -- Residual Current Devices -- Requirements for RCD Protection -- Self-Assessment Questions -- CHAPTER 17 Protection -- Protection -- Control -- CHAPTER 18 Circuit and Design -- Design Procedure -- Design Current -- Nominal Setting of Protection -- Rating Factors -- Current-Carrying Capacity -- Choice of Cable Size -- Voltage Drop -- Shock Risk -- Thermal Constraints -- Selection of cpc Using Table 54.7 -- Installation Reference Methods -- Installation Methods. CHAPTER 19 Testing -- Measurement of Electrical Quantities -- Measurement of Current -- Measurement of Voltage -- Instruments in General -- Selection of Test Instruments -- Approved Test Lamps and Indicators -- Accidental RCD Operation -- Calibration, Zeroing and Care of Instruments -- Initial Inspection -- Testing Continuity of Protective Conductors -- Testing Continuity of Ring Final Circuit Conductors -- Testing Insulation Resistance -- Special Tests -- Testing Polarity -- Testing Earth Electrode Resistance -- Testing Earth Fault Loop Impedance -- External Loop Impedance Ze -- Prospective Fault Current -- Periodic Inspection -- Certification -- Inspection and Testing -- Fault Finding -- CHAPTER 20 Basic Electronics Technology -- Electronics Components -- Semi-Conductors -- Rectification -- Electronics Diagrams -- Electronics Assembly -- Self-Assessment Questions -- Answers to Self-Assessment Questions -- Appendix -- Glossary -- Index. https://cds.cern.ch/auth.py?r=EBLIB_P_5615449 ebook ebook EBL Electric apparatus and appliances-Installation EBL Electric power systems EBL Electric wiring, Interior EBL201902 Engineering SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664598 SzGeCERN 20210421202837.0 9781119572480 electronic version electronic version 9781786303332 electronic version electronic version 9781786303332 print version oai:cds.cern.ch:2664598 cerncds:BOOK EBL 5612928 eng TK9152 .A453 2018 621.4835 Amiard, Jean-Claude Military nuclear accidents Newark, NJ John Wiley & Sons 2018 276 p ebook Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Acknowledgments -- Acronyms and Abbreviations -- Preface -- 1. Classification of Nuclear Accidents -- 1.1. Classification of nuclear events: incident or accident? -- 1.2. Military classification -- 1.3. Acknowledged, unknown and secret accidents -- 1.4. Origin and frequency of accidents -- 1.4.1. Origin of accidents -- 1.4.2. Frequency of accidents -- 2. Birth of Atomic Weapons and Their First Atrocious Applications -- 2.1. Introduction -- 2.1.1. Discoveries of natural and artificial radioactivity -- 2.1.2. The discovery of fission and the first nuclear reactor -- 2.1.3. The A-bomb -- 2.1.4. French research work before and after World War II -- 2.2. The explosions in Hiroshima and Nagasaki: the first appalling applications of fission -- 2.2.1. The facts -- 2.2.2. The immediate effects (destruction of buildings) -- 2.2.3. The environmental consequences -- 2.2.4. Health consequences -- 2.2.5. The sociological costs -- 2.2.6. The economic costs -- 2.3. Conclusion -- 3. Atomic Bomb Tests -- 3.1. Introduction -- 3.1.1. Test sites -- 3.1.2. Various types of atomic tests -- 3.1.3. Safety of atmospheric tests -- 3.1.4. Various phases of a nuclear explosion -- 3.2. Atmospheric atomic tests: massive voluntary releases -- 3.2.1. A-bombs -- 3.2.2. H-bombs -- 3.2.3. Production of radionuclides from an explosion -- 3.2.4. Production of particles and aerosols -- 3.2.5. Surface deposits -- 3.2.6. Accidents during atmospheric atomic tests -- 3.3. Accidents during underground atomic tests -- 3.3.1. Radioactive releases during underground tests -- 3.3.2. Soviet accidents -- 3.3.3. American accidents -- 3.3.4. French accidents -- 3.3.5. British and Chinese accidents -- 3.4. Environmental consequences -- 3.4.1. Geomechanical consequences -- 3.4.2. Environmental contaminations. 3.5. Worldwide spatial consequences of atomic tests -- 3.6. Health consequences -- 3.6.1. Health consequences to military personnel -- 3.6.2. Health consequences on workers -- 3.6.3. Health consequences on local populations -- 3.6.4. Health consequences on the world population -- 3.7. Sociological consequences -- 3.7.1. Taking into account the harm suffered from French tests -- 3.7.2. The case of American military personnel and civilians -- 3.7.3. Psychological illnesses related to nuclear explosions -- 3.8. Economic impact -- 3.8.1. Compensation for military personnel and local populations -- 3.8.2. The cost of French tests at Mururoa and Fangataufa -- 3.9. Conclusion -- 4. Accidents Involving Deterrence -- 4.1. Introduction -- 4.1.1. The principle of nuclear deterrence -- 4.1.2. Acquisition of the bomb -- 4.1.3. From massive retaliation to flexible response -- 4.1.4. The second path to nuclear arms -- 4.1.5. The situation in the 21st Century -- 4.1.6. The main non-proliferation treaties -- 4.2. Accidents involving weapons in service -- 4.2.1. Accidents involving bombers carrying nuclear weapons -- 4.2.2. Accidents involving submarines carrying nuclear weapons -- 4.2.3. Missile and rocket accidents -- 4.2.4. Accidents during armed missile tests -- 4.2.5. Accidents involving power generators and satellites -- 4.2.6. Various accidents -- 4.3. Consequences for the environment -- 4.3.1. Consequences of bomber aircraft acciden -- 4.3.2. Consequences of submarine wrecks -- 4.3.3. Consequences of submerged military waste -- 4.4. Consequences for flora and fauna -- 4.5. Consequences on human health -- 4.6. Economic consequences: the cost of nuclear deterrence -- 4.6.1. The American costs of nuclear deterrence -- 4.6.2. French costs of nuclear deterrence -- 4.6.3. British costs of nuclear deterrence -- 4.6.4. The costs of nuclear deterrence for other nations. 4.7. Strike force in the future -- 4.8. Conclusion -- 5. Accidents Involving the Production of Atomic Weapons -- 5.1. Introduction -- 5.2. Accidents involving plutonium production units -- 5.2.1. The Windscale accident -- 5.2.2. The Kyshtym accident at Mayak -- 5.2.3. The accident at Tomsk -- 5.2.4. The Gore accident -- 5.3. Criticality accidents -- 5.4. The consequences of an accident on atomic bomb storage sites -- 5.5. Environmental impact -- 5.5.1. Windscale -- 5.5.2. Kyshtym and its surroundings -- 5.5.3. Tomsk -- 5.5.4. Hanford and Los Alamos -- 5.6. Health consequences -- 5.6.1. Windscale -- 5.6.2. Kyshtym -- 5.6.3. Tomsk -- 5.6.4. Gore -- 5.7. Costs of weapons production plants -- 5.8. Conclusion -- 6. Nuclear Warfare -- 6.1. Introduction -- 6.2. Humanity and the legitimacy of a nuclear war -- 6.3. The risks of a nuclear war -- 6.3.1. Nuclear war has not taken place… but it is possible -- 6.3.2. International crises and moments of senseless escalation -- 6.3.3. Accidents that may trigger nuclear war -- 6.3.4. False alarms that may trigger nuclear war -- 6.3.5. Geopolitics and nuclear war -- 6.4. How to avoid nuclear war -- 6.4.1. Increased awareness and establishment of peace movements -- 6.4.2. The Stockholm Appeal -- 6.4.3. Limiting those that possess the bomb -- 6.4.4. Towards a new treaty for outlawing nuclear weapons? -- 6.4.5. Peace movements -- 6.5. Scenarios of nuclear war -- 6.6. The environmental impact of nuclear war -- 6.6.1. Large-scale fires and smoke -- 6.6.2. Dust -- 6.6.3. Radioactive fallout -- 6.6.4. Depletion of the stratospheric ozone layer and increase in UV rays -- 6.6.5. Oxygen losses and increases in carbon dioxide -- 6.6.6. Reductions in light and temperatures -- 6.6.7. Nuclear winter -- 6.6.8. Radioactive contamination -- 6.7. Ecological impact of nuclear war -- 6.8. Impact of nuclear war on health. 6.9. Expenditure on dismantling and destroying nuclear weapons in the United States -- 6.10. Conclusion -- Conclusion -- References -- Index -- Other titles from iSTE in Ecological Science -- EULA. EBL201902 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5612928 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2664598 BOOK MIGRATED 2664580 SzGeCERN 20210421202840.0 9781536143317 electronic version electronic version 9781536143317 print version 9781536143324 electronic version electronic version oai:cds.cern.ch:2664580 cerncds:BOOK EBL 5611841 eng QC661 .E443 2018 539.2 Koutsojannis, Constantinos M Electromagnetic radiation New York, NY Nova Science Publishers 2018 184 p ebook Physics research and technology Intro -- Contents -- Preface -- Acknowledgments -- Chapter 1 -- Elecromagnetism: History and Experiments -- Abstract -- 1. History of Science -- 2. Historical Evolution of Electromagnetism -- 2.1. Robert Boyle -- 2.2. Electrostatic Machine - Otto Von Guericke -- 3. First Half of 18th Century -- 3.1. Charles François de Cisternay du Fay -- 3.2. Electric Loads -- 3.3. The Subtle Fluids -- 3.4. The Leyden Flask -- 4. Electricity (The Second Half of 18th Century) -- 4.1. Maxwell for Faraday -- 4.2. The Early Years -- 4.3. The Scientific Career -- 4.4. Faraday and Electromagnetic Induction -- 4.5. Faraday and Chemistry -- References -- Chapter 3 -- Mathematical Approaches to Describe Biological Effects Produced by Microwave Radiation Applied Alone or Combined with Other Agents -- Abstract -- 1. Introduction -- 2. Mathematical Models of Animal Heating -- 3. Dose-Power Approach -- 4. Synergistic Interaction -- 5. Mathematical Model of Synergistic Interaction -- References -- Chapter 4 -- Laser Light and Operational Hazard Classification -- Abstract -- 1. Introduction -- 1.1. Absorption, Spontaneous Emission, Stimulated Emission -- 1.2. Physical Properties of Laser Light -- 2. Laser Systems and the Mode of Operation -- 2.1. Continuous Wave Lasers - CW -- 2.2. Single Pulsed Lasers -- 2.3. Single Pulsed Q - Switched -- 2.4. Pulsed Lasers -- 2.5. Mode Locked Lasers -- 3. Laser Systems and the Active Material in Use -- 3.1. Solid State Laser -- 3.2. Semiconductor Laser -- 3.3. Gas Laser -- 3.4. Excimer Laser -- 3.5. Chemical Laser -- 3.6. Dye Laser -- 3.7. Laser Color Centers -- 3.8. Free Electron Laser -- 4. Laser Systems and Operational Hazards -- 4.1. Class 1 -- 4.2. Class 1M -- 4.3. Class 2 -- 4.4. Class 2M -- 4.5. Class 3R -- 4.6. Class 3B -- 4.7. Class 4 -- References -- Chapter 5. Dosimetry, Peculiarities of Cell Inactivation and Animal Death after Microwave Exposure -- Abstract -- 1. Introduction -- 2. Microwave Dosimetry -- 3. Cellular Level -- 4. Lethal Effects of Animals -- References -- Chapter 6 -- Electromagnetic Radiation from Medical Equipment: The Need for Safety Procedures Due to the Time Heterogeneity of Field Strength -- Abstract -- Electromagnetic Radiation ιν Medical Environment -- The Occupational Safety Approach -- Quality Control of Medical Equipment -- Short and Micro-Wave Diathermies in Physiotherapy -- RF Radiation Measurements for Output Inhomogeneity -- Environmental Survey for Space Inhomogeneity: An Established Procedure -- Field Heterogeneity in Time: An Improvement Proposal -- Current Status and Future Research -- References -- Chapter 7 -- Biological Effects of Laser Irradiation and Occupational Safety -- Abstract -- 1. Laser Effect on the Eye -- 1.1. The Cornea -- 1.2. The Eye Lens -- 1.3. The Pupil of the Eye -- 1.4. Aversion Reaction -- 2. Radiation Transmission and Absorption -- 2.1. Ultraviolet-B and Ultraviolet-C (100-315 nm) Radiation -- 2.2. Ultraviolet-A (315-400 nm) Radiation -- 2.3. Visible Light and Infrared-A (400 to 1400 nm) Radiation -- 2.4. Infrared-B and Infrared-C (1400 - 10⁶ nm) Radiation -- 3. Signs of Exposure of the Eye to Laser Light -- 4. Mechanisms Causing Damage to the Eye -- 4.1. Electromechanical and Acoustic Damage -- 4.2. Photoablation -- 4.3. Thermal Damage -- 4.4. Photochemical Damage -- 5. Laser Effect on the Skin -- 5.1. Optical Properties of Human Tissue -- 5.2. Scattering from Cellular Structures -- 5.3. Mitochondria -- 5.4. Collagen Fibers and Fibrils -- 6. Non-Radiation Laser Hazards -- 6.1. Electric Shock -- 6.2. Production of Hazardous Gases -- 6.3. Ionizing Radiation -- 6.4. Fire Hazards -- 6.5. Dangerous Gases. 7. Occupational Safety in Presence of Lasers -- 7.1. Patient -- 7.2. Surgeons -- 7.3. Surgery Assistants -- 7.4. Escorts and Observers -- 7.5. Maintenance and Repair Personnel -- 7.6. Exposure Limits -- 8. Administrative Control Procedure for Laser Safety -- 8.1. Elements of Laser Safety -- 8.2. Laser Safety and Security Tasks -- 8.3. Laser Safety Committee -- References -- About the Editor -- About the Contributors -- Index -- Blank Page. EBL201902 Other Fields of Physics SzGeCERN EBL Electromagnetic waves BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5611841 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2664580 BOOK MIGRATED 2664568 SzGeCERN 20200503232029.0 9781138744653 electronic version electronic version 9781138744653 print version 9781351720731 electronic version electronic version oai:cds.cern.ch:2664568 cerncds:BOOK EBL 5611391 eng HD30.255 .S273 2019 658.4083 Sardá Borroy, Rafael Corporate sustainability in the 21st century increasing the resilience of social and ecological systems Milton Routledge 2019 392 p Cover -- Half Title -- Title -- Copyright -- Dedication -- Contents -- List of figures -- List of figure boxes -- List of tables -- List of boxes -- Foreword -- Preface -- Acknowledgements -- About the authors -- Theme I Business in Nature -- 1 Welcome to the Anthropocene -- Chapter in brief -- Introduction -- Welcome to the Anthropocene -- The new world of the Anthropocene -- The clock is ticking: some general messages -- Great acceleration -- Planetary boundaries -- Population growth -- Global connectivity -- The natural capital and the concept of social-ecological systems -- Human impact and the ecological footprint -- Ecosystem goods and ecosystem services -- Governance for the planet -- United Nations at the turn of the century -- The Millennium Ecosystem Assessment report (MA) -- The Intergovernmental Panel on Climate Change Assessment reports (IPCC-ARx) -- The United Nations Global Compact initiative -- A life of dignity for all" and the Sustainable Development Goals -- The Sustainable Development Goals and the business community -- Resilience -- Summary -- Chapter Annex 1 -- Chapter Annex 2 -- 2 Corporate sustainability in the 21st century -- Chapter in brief -- Introduction -- Corporate sustainability in the 21st century -- From global environmental challenges to corporate sustainability: four dominant paradigms -- Dominant social paradigm -- New environmental paradigm -- Dominant sustainability paradigm -- Social-ecological paradigm -- Corporate sustainability: an evolving concept -- Business sustainability 1.0: refined shareholder value management -- Business sustainability 2.0: managing for the triple bottom line -- Business sustainability 3.0: truly sustainable business -- Linking the macro to the micro: the IPAT fundamental equation -- Why do companies engage? -- Corporate sustainability as a market transformation. Business megatrends at the beginning of the 21st century -- Why do companies engage? External drivers -- Why do companies engage? Internal drivers -- The business case for sustainability -- Searching for win-win opportunities -- Understanding the concept of business case for sustainability -- Compliance -- Business case of sustainability -- Business case for sustainability -- Beyond the business case -- Analyzing the drivers of the business case -- Summary -- Chapter Annex 1 -- Chapter Annex 2 -- Chapter Annex 3 -- 3 The "Business In Nature" concept -- Chapter in brief -- Introduction -- Companies in social-ecological systems -- Framework for analysis -- Social-ecological system accountability: impacts vs effects -- Companies in social-ecological systems -- Business In Nature -- Doing business and doing good -- Extending the boundaries of intervention -- Moving from a focus on environmental impacts to a focus on environmental effects -- Innovating products, services and business models for the future -- Developing collaborative approaches -- Conceptual frameworks for analysis -- Corporate sustainability strategies -- Strategy and sustainability -- Integrating sustainability into strategy: mission, vision and purpose -- Dyllick framework for sustainability strategies -- Reputation-based strategy -- Risk-based strategy -- Efficiency-based strategy -- Innovation-based strategy -- Transformation-based strategy -- Implementing BInN into the value chain -- Focus on production units and internal processes -- Focus on sustainable supply chains -- Focus on designing sustainable products and services -- Focus on new business models -- Summary -- Chapter Annex 1 -- Chapter Annex 2 -- Chapter Annex 3 -- Theme II Rethinking the corporate value chain -- 4 Driving production systems sustainable -- Chapter in brief -- Introduction -- Cleaner production. Waste management and pollution prevention -- Cleaner production and eco-efficiency -- Best Available Techniques (BATs) -- Environmental management systems -- The appearance of environmental management systems (EMS) -- Environmental management systems (ISO14001 vs EMAS) -- ISO14001:2015 -- European Eco-Management and Audit Scheme (EMAS-III) -- The use of Risk Management Systems (RMS) for environmental management -- Risk Management (ISO31000:2009) -- The future of sustainable management systems -- Clean technologies -- The move from eco-efficiency to eco-effectiveness -- Clean technologies -- Summary -- Chapter Annex 1 -- Chapter Annex 2 -- Chapter Annex 3 -- 5 Managing sustainable supply chains -- Chapter in brief -- Introduction -- Supply chain management -- Sustainable supply chain -- What is a sustainable supply chain? -- Distinctive features of sustainable supply chains -- Baseline approaches to sustainable supply chain management -- Supply chain risks and sustainability -- Supply chain management: standards, certification, transparency and traceability -- Sustainability standards and certification -- Transparency and traceability -- Summary -- Chapter Annex 1 -- Chapter Annex 2 -- Chapter Annex 3 -- 6 Making sustainable products and services -- Chapter in brief -- Introduction -- Sustainable consumption -- From the green consumer to the LOHAS consumer and more -- Environmental campaigns -- Life cycle thinking -- Life Cycle Assessment (LCA) -- Definition of the goal and scope -- Life cycle inventory -- Life cycle impact assessment -- Interpretation -- Final report and critical review -- Ecological key performance indicators -- Carbon footprint (CF) -- Water footprint (WF) -- Ecological footprint (EF) -- Environmental product declarations (EPD) -- Design for the Environment (DfE) -- Integrating DfE into the product innovation process. Areas of intervention of DfE -- Ecolabelling -- Summary -- Chapter Annex 1 -- Chapter Annex 2 -- Chapter Annex 3 -- 7 Innovating business models for sustainability -- Chapter in brief -- Introduction -- Business model -- Business model ontology -- Business model innovation -- Business model for sustainability -- Definitions, normative requirements and conditions -- Business model innovations: examples at industry level -- Energy and electricity -- Mobility and automotive -- Agro-food industry -- Markets for ecosystem services -- Circular economy -- Origin of the circular economy (CE) -- Definition, main features and limits -- Circular business models -- Two types of models -- Circular business models: examples at industry level -- Product life extension -- Servicizing or product to service -- Encourage sufficiency -- Collaborative consumption and sharing platforms -- Resource recovery -- Industrial symbiosis -- Summary -- Chapter Annex 1 -- Chapter Annex 2 -- Chapter Annex 3 -- Theme III Corporate sustainability implementation -- 8 Designing and implementing the sustainability plan -- Chapter in brief -- Introduction to the sustainable plan -- Strategy, corporate sustainability and sustainability planning -- The process owner: illustrating the role of the Chief Sustainability Officer -- Designing and preparing the sustainability plan -- Monitoring the external context: understanding the signals -- Defining the scope and the priorities -- The scoping process -- How to identify priorities -- Engaging the organization -- Defining the goals and the targets -- Establish actions, tasks and execution -- Monitoring and reporting -- Summary -- Chapter Annex 1 -- Chapter Annex 2 -- Chapter Annex 3 -- Epilogue -- Index. Pogutz, Stefano Ramakrishna, Kilaparti https://cds.cern.ch/auth.py?r=EBLIB_P_5611391 ebook ebook EBL Management-Environmental aspects EBL Social responsibility of business EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664564 SzGeCERN 20210421202841.0 9781138735897 electronic version electronic version 9781138735897 print version 9781351736589 electronic version electronic version oai:cds.cern.ch:2664564 cerncds:BOOK EBL 5609391 eng TJ260 .P466 2018 621.402 Penoncello, Steven G Thermal energy systems design and analysis 2nd ed. Milton Chapman and Hall/CRC 2018 624 p ebook Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface to the Second Edition -- Acknowledgments -- Author -- Chapter 1: Introduction -- 1.1 Thermal Energy Systems Design and Analysis -- 1.2 Software -- 1.2.1 Engineering Equation Solver (EES) -- 1.2.2 REFPROP -- 1.2.3 CoolProp -- 1.2.4 User-Written Libraries -- 1.2.5 Software Approach Taken in This Book -- 1.3 Thermal Energy System Topics -- 1.4 Units and Unit Systems -- 1.5 Properties of Working Fluids in Thermal Energy Systems -- 1.5.1 Thermodynamic Properties -- 1.5.1.1 Thermodynamic Properties in the Two-Phase Region -- 1.5.1.2 Important Thermodynamic Property Relationships -- 1.5.2 Evaluation of Thermodynamic Properties -- 1.5.2.1 The Real Fluid Model -- 1.5.2.2 The Incompressible Substance Model -- 1.5.2.3 Estimation of Liquid Properties -- 1.5.2.4 The Ideal Gas Model -- 1.5.3 Transport Properties -- 1.5.3.1 Dynamic Viscosity -- 1.5.3.2 Kinematic Viscosity -- 1.5.3.3 Newtonian and Non-Newtonian Fluids -- 1.5.3.4 Thermal Conductivity -- 1.6 Engineering Design and Analysis -- 1.6.1 Workable Designs -- 1.6.2 Optimum Designs -- 1.6.3 Engineering Design and Environmental Impact -- References -- Problems -- Units and Unit Systems -- Properties of Working Fluids -- Engineering Design -- Chapter 2: Engineering Economics -- 2.1 Introduction -- 2.2 Engineering Economics Nomenclature -- 2.3 The Cash Flow Diagram -- 2.4 The Time Value of Money -- 2.4.1 Future Value of a Present Sum: The Single Payment Compound Amount Factor -- 2.4.2 Present Value of a Future Sum: The Present Worth Factor -- 2.4.3 Future Value of a Uniform Series: The Compound Amount Factor -- 2.4.4 An Equivalent Uniform Series That Represents a Future Value: The Uniform Series Sinking Fund Factor -- 2.4.5 Present Value of a Uniform Series: The Uniform Series Present Worth Factor. 2.4.6 An Equivalent Uniform Series That Represents a Present Value: The Capital Recovery Factor -- 2.4.7 Present Value of a Uniform Linearly Increasing Series-The Gradient Present Worth Factor -- 2.4.8 Summary of Interest Factors -- 2.5 Nominal and Effective Interest Rates -- 2.6 Time Value of Money Examples -- 2.7 Using Software to Calculate Interest Factors -- 2.8 Economic Decision Making -- 2.8.1 Present Worth Analysis -- 2.8.2 Annual Cost Analysis -- 2.8.3 Selection of Alternatives -- 2.9 Depreciation and Taxes -- 2.9.1 After-Tax Cash Flow -- 2.9.2 Straight-Line Depreciation (SLD) -- 2.9.3 Sum of the Years' Digits (SYD) -- Reference -- Problems -- Time Value of Money -- Economic Decision Making -- Depreciation and Taxes -- Chapter 3: Analysis of Thermal Energy Systems -- 3.1 Introduction -- 3.2 Nomenclature -- 3.3 Analysis Procedure -- 3.4 Conserved and Balanced Quantities -- 3.4.1 The Generalized Balance Law -- 3.5 Conservation of Mass -- 3.6 Conservation of Energy -- 3.7 The Entropy Balance (The Second Law of Thermodynamics) -- 3.7.1 The Reversible and Adiabatic Process -- 3.7.2 Isentropic Efficiencies of Flow Devices -- 3.7.2.1 Turbines -- 3.7.2.2 Compressors, Pumps, and Fans -- 3.7.2.3 Nozzles -- 3.7.2.4 Diffusers -- 3.7.3 Heat Exchanger Effectiveness -- 3.7.3.1 Effectiveness of a Counter Flow Heat Exchanger -- 3.7.3.2 Effectiveness of a Parallel Flow Heat Exchanger -- 3.7.3.3 Significance of the Pinch Point Temperature Difference and Effectiveness -- 3.8 The Exergy Balance-The Combined Law -- 3.8.1 What Is Exergy? -- 3.8.1.1 The Thermodynamic Definition of Exergy -- 3.8.2 The Exergy Balance -- 3.8.3 Exergy Accounting and Exergy Flow Diagrams -- 3.8.4 Exergetic Efficiencies of Flow Devices -- 3.8.4.1 Turbines -- 3.8.4.2 Compressors, Pumps, and Fans -- 3.8.4.3 Heat Exchangers -- 3.9 Energy and Exergy Analysis of Thermal Energy Cycles. 3.9.1 Cycle Energy Performance Parameters -- 3.9.1.1 Maximum Thermal Efficiency of a Cycle -- 3.9.2 Exergetic Cycle Efficiency -- 3.9.2.1 Power Cycles -- 3.9.2.2 Refrigeration and Heat Pump Cycles -- 3.9.2.3 Significance of the Exergetic Cycle Efficiency -- 3.9.2.4 The Energy/Exergy Conundrum -- 3.10 Analysis of Thermal Energy Systems -- 3.10.1 Analysis of an Engine and Radiator System -- 3.10.2 Analysis of a Brine Chilling System for Ice Rink Manufacture -- 3.10.3 Analysis of a Gas Turbine System for Power Delivery -- References -- Problems -- Conservation and Balance Laws -- Energy and Exergy Analysis of Thermal Energy Cycles -- Analysis of Thermal Energy Systems -- Chapter 4: Fluid Transport in Thermal Energy Systems -- 4.1 Introduction -- 4.2 Piping and Tubing Standards -- 4.3 Fluid Flow Fundamentals -- 4.3.1 Head Loss due to Friction in Pipes and Tubes -- 4.4 Valves and Fittings -- 4.4.1 The Hooper 2K Method -- 4.4.2 The Darby 3K Method -- 4.4.3 Reducers and Expansions -- 4.4.4 Check Valves -- 4.4.5 Branch Fittings-Tees and Wyes -- 4.5 Design and Analysis of Pipe Networks -- 4.5.1 Parallel Pipe Networks -- 4.6 Economic Pipe Diameter -- 4.6.1 Cost of a Pipe System -- 4.6.2 Determination of the Economic Diameter -- 4.6.3 Cost Curves -- 4.6.4 Economic Velocity Range -- 4.7 Pumps -- 4.7.1 Types of Pumps -- 4.7.2 Dynamic Pump Operation -- 4.7.2.1 Dynamic Pump Performance -- 4.7.3 Manufacturer's Pump Curves -- 4.7.4 The System Curve -- 4.7.4.1 System Curve for a Two-Tank System Open to the Atmosphere -- 4.7.4.2 System Curve for a Closed-Loop System -- 4.7.5 Pump Selection -- 4.7.6 Cavitation and the Net Positive Suction Head -- 4.7.6.1 Calculating the NPSHa -- 4.7.7 Series and Parallel Pump Configurations -- 4.7.8 Affinity Laws -- 4.8 Design Practices for Pump/Pipe Systems -- 4.8.1 Economics -- 4.8.2 Environmental Impact -- 4.8.3 Noise and Vibration. 4.8.4 Pump Placement and Flow Control -- 4.8.5 Valves -- 4.8.6 Expansion Tanks and Entrained Gases -- 4.8.7 Other Sources for Design Practices -- References -- Problems -- Piping and Tubing Standards -- Friction Calculations in Straight Pipes and Tubes -- Valves and Fittings -- Design and Analysis of Pipe Networks -- Economic Pipe Diameter -- Dynamic Pump Performance -- Series and Parallel Pump Configurations -- Cavitation and the Net Positive Suction Head -- Affinity Laws -- Chapter 5: Energy Transport in Thermal Energy Systems -- 5.1 Introduction -- 5.2 Heat Transfer Analysis of Heat Exchangers -- 5.2.1 Thermal Resistance -- 5.2.2 The Convective Heat Transfer Coefficient -- 5.2.2.1 Entry Length -- 5.2.2.2 Forced External Cross Flow over a Cylindrical Surface -- 5.2.2.3 Forced Internal Laminar Flow-Combined Entry -- 5.2.2.4 Forced Internal Laminar Flow-Thermal Entry -- 5.2.2.5 Forced Internal Turbulent Flow -- 5.3 Fouling on Heat Exchanger Surfaces -- 5.4 The Overall Heat Transfer Coefficient -- 5.5 Heat Exchanger Types -- 5.5.1 Double Pipe Heat Exchanger -- 5.5.2 Shell and Tube Heat Exchanger -- 5.5.3 Plate and Frame Heat Exchanger -- 5.5.4 Cross Flow Heat Exchanger -- 5.6 Design and Analysis of Heat Exchangers -- 5.6.1 A Heat Exchanger Design Problem -- 5.6.2 A Heat Exchanger Analysis Problem -- 5.6.3 Heat Exchanger Heat Transfer Analysis -- 5.6.3.1 Logarithmic Mean Temperature Difference -- 5.6.4 The LMTD Heat Exchanger Model -- 5.6.5 The Effectiveness-NTU Heat Exchanger Model -- 5.7 Special Application Heat Exchangers -- 5.7.1 The Counter Flow Regenerative Heat Exchanger -- 5.7.2 Heat Exchangers with Phase Change Fluids: Boilers, Evaporators, and Condensers -- 5.8 Double Pipe Heat Exchanger Design and Analysis -- 5.8.1 Double Pipe Heat Exchanger Diameters -- 5.8.2 Overall Heat Transfer Coefficients for the Double Pipe Heat Exchanger. 5.8.3 Hydraulic Analysis of the Double Pipe Heat Exchanger -- 5.8.3.1 Hydraulic Consequences of Fouling -- 5.8.3.2 Pressure Drop through the Inner Tube -- 5.8.3.3 Pressure Drop through the Annulus -- 5.8.4 Fluid Placement in a Double Pipe Heat Exchanger -- 5.8.5 Double Pipe Heat Exchanger Design Considerations -- 5.8.6 Computer Software for Design and Analysis of Heat Exchangers -- 5.8.7 Double Pipe Heat Exchanger Design Example -- 5.8.7.1 Fluid Properties -- 5.8.7.2 Fluid Placement -- 5.8.7.3 Determination of Pipe and/or Tube Sizes -- 5.8.7.4 Calculation of Annulus Diameters -- 5.8.7.5 Calculation of Reynolds Numbers -- 5.8.7.6 Calculation of Friction Factors -- 5.8.7.7 Calculation of Nusselt Numbers -- 5.8.7.8 Calculation of Convective Heat Transfer Coefficients -- 5.8.7.9 Calculation of Overall Heat Transfer Coefficients -- 5.8.7.10 Application of the Heat Exchanger Model -- 5.8.7.11 Heat Exchanger Length -- 5.8.7.12 Calculation of Pressure Drops through the Heat Exchanger -- 5.8.7.13 Preliminary Design Specifications of the Heat Exchanger -- 5.8.8 Double Pipe Heat Exchanger Analysis Example -- 5.8.8.1 Initial Guess of the Fluid Outlet Temperatures -- 5.8.8.2 Fluid Properties -- 5.8.8.3 Calculation of Annulus Diameters -- 5.8.8.4 Calculation of Fluid Velocities -- 5.8.8.5 Calculation of Reynolds Numbers -- 5.8.8.6 Calculation of Friction Factors -- 5.8.8.7 Calculation of Nusselt Numbers -- 5.8.8.8 Calculation of Convective Heat Transfer Coefficients -- 5.8.8.9 Calculation of Overall Heat Transfer Coefficients -- 5.8.8.10 Calculation of the UA Values -- 5.8.8.11 Application of the Heat Exchanger Model -- 5.8.8.12 Calculation of the Pressure Drops -- 5.8.8.13 Heat Exchanger Specifications and Performance -- 5.9 Shell and Tube Heat Exchanger Design and Analysis -- 5.9.1 LMTD for Shell and Tube Heat Exchangers. 5.9.2 Tube Side Analysis of Shell and Tube Heat Exchangers. EBL201902 Engineering SzGeCERN EBL Heat engineering EBL Heat-Transmission BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5609391 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2664564 BOOK MIGRATED 2664552 SzGeCERN 20200501234724.0 9781786394521 electronic version electronic version oai:cds.cern.ch:2664552 cerncds:BOOK EBL 5602969 eng HD60.5.I4 .C677 2018 658.408 Singh, Anand K Corporate social responsibility win-win propositions for communities, corporates and agriculture Oxford CAB International 2018 261 p Intro -- Corporate Social Responsibility -- Copyright -- Contents -- Contributors -- Foreword -- Preface -- Acknowledgements -- 1 Corporate Social Responsibility in India: Philosophy, Policy and Practice -- 1.1 Introduction -- 1.1.1 Philosophy -- 1.1.2 Growing funds -- 1.1.3 Individual philanthropist -- 1.1.4 Contributing funds -- 1.2 Evolution of CSR Governance and Policies -- 1.2.1 Evolution in India -- 1.2.2 What qualifies as CSR? -- 1.3 Practice -- 1.3.1 Estimated CSR expenditure -- 1.3.2 How are Indian companies doing on the CSR front? -- 1.3.4 Participation in Swachh Bharat campaign -- 1.3.5 Participation in other activities -- 1.3.6 CSR by type and nature of industry -- 1.3.7 How is the government supplementing CSR efforts? -- 1.3.8 CII plays a pivotal role -- 1.3.9 ICRISAT enabling CSR through win-win proposition -- 1.4 Focus of this Book -- Acknowledgement -- Notes -- References -- 2 A Holistic Approach for Achieving Impact through CSR -- 2.1 Why a Holistic Approach? -- 2.2 Existing Death Valley of Impact - The Main Challenge -- 2.3 Framework of Holistic Solutions -- 2.3.1 Inclusive market-oriented development approach -- 2.3.2 Integrated watershed management - proven IMOD strategy for the drylands -- 2.3.3 Strengthening the science of delivery of holistic solutions -- 2.4 Holistic Solutions for Impact -- 2.4.1 Rainwater conservation -- 2.4.2 Enhancing water-use efficiency -- 2.4.3 Soil health -- 2.4.4 Crops and cropping systems management -- 2.4.5 Inclusive system-context development -- 2.4.6 Modernizing agriculture: on-farm mechanization -- 2.4.7 Value chain -- 2.4.8 Collectivization: farmer producer organizations -- 2.4.9 Capacity building and innovative extension system -- 2.5 Summary and Key Findings -- References -- 3 Building Soil Health, Improving Carbon Footprint and Minimizing Greenhouse Gas Emissions through CSR. 3.1 Why Soil Health, Carbon and Greenhouse Gases are Important -- 3.2 How Soil Health and Ecosystem Service Issues are Aggravated -- 3.3 Soil Degradation Challenges in General and in CSR Sites -- 3.4 Building Soil Health and Ecosystem Services: A Low Hanging Technology -- 3.4.1 Soil health for food and nutritional security -- 3.4.2 Improved nutrient and water use efficiency -- 3.4.3 Soil C sequestration and offsetting GHG emissions -- 3.5 Framework for Soil Health and Ecosystem Services -- 3.5.1 Soil health building as an entry point activity -- 3.5.2 Strengthening analytical framework -- 3.5.3 Regulating soil C pools -- 3.5.4 GHG emissions and management -- 3.5.5 Scaling-out soil health management -- 3.5.6 Innovative extension and information and communication technology in soil health management -- 3.6 Summary and Key Findings -- Acknowledgement -- References -- 4 CSR and Climate-resilient Agriculture - A JSW Case Study -- 4.1 High-rainfall Zone - Jawhar, Maharashtra -- 4.1.1 Challenges and opportunities -- 4.1.2 Climatic situation -- 4.1.3 Rainfed crop-growing period -- 4.1.4 Projected climate change -- 4.1.5 Corporate social responsibility opportunity -- 4.1.6 Pre-project scenario - constraints -- 4.1.7 Strategy and approach -- 4.1.8 Interventions -- 4.1.9 Soil and water conservation -- 4.1.10 Rainwater harvesting -- 4.1.11 Crop management -- Paddy -- Finger millet -- Groundnut -- Pigeonpea -- 4.1.12 Crop diversification -- Horticulture plantation -- Rice fallow management -- Promotion of post-monsoon crops -- 4.1.13 Graduation of tribal farmers to protected cultivation of vegetables -- 4.1.14 Microenterprises -- Village seed bank -- Nursery raising -- 4.1.15 Market linkages -- 4.1.16 Overcoming malnutrition -- 4.1.17 Marching towards mechanization -- 4.1.18 Impact -- 4.2 Low-rainfall Zone - Ballari, Karnataka -- 4.2.1 Site specification. 4.2.2 Challenges and opportunities -- Shift from agriculture to industry -- Land use pattern -- Water resources -- Market availability -- Land degradation -- 4.2.3 Interventions -- Soil test-based balanced nutrition trials -- Farmer participatory evaluation of improved cultivars -- Rainwater harvesting -- Capacity building programmes to improve livelihoods -- 4.2.4 Impact -- Increase in crop productivity with balanced nutrient management -- High-yielding improved cultivars -- Increase in water availability -- Livelihood activities -- 4.3 The Way Forward -- Acknowledgements -- References -- 5 Improving Livelihoods through Watershed Interventions: A Case Study of SABMiller India Project -- 5.1 Introduction -- 5.1.1 The initiative -- 5.1.2 Goal and objectives -- 5.2 ICRISAT-SABMiller India Project -- 5.2.1 Background of the study area -- 5.2.2 Identification of constraints -- 5.3 The Process -- 5.3.1 Strategy -- 5.3.2 Partner consortia -- 5.3.3 Community mobilization and formation of watershed committee -- 5.3.4 Entry-point activity: soil test -- 5.3.5 Awareness and capacity building -- 5.4 Interventions -- 5.4.1 Productivity enhancement through application of soil test-based fertilizers -- 5.4.2 Enhancing water resources availability -- 5.4.3 Agroforestry and tree plantation -- 5.5 Investments and Incremental Benefits -- 5.5.1 Productivity enhancement through soil test-based fertilizer application -- 5.5.2 Enhancing water resource availability -- 5.5.3 Agroforestry and tree plantation -- 5.5.4 Livestock-based activities -- 5.5.5 Income-generating activities by women -- Nursery raising -- Nutri-kitchen gardens -- Acknowledgements -- References -- 6 Improved Livelihoods - A Case Study from Asian Paints Limited -- 6.1 Background -- 6.1.1 Why? Problem statement -- 6.1.2 Integrated water resource management approach -- 6.1.3 Objectives. 6.1.4 Site selection -- 6.1.5 Site specification -- 6.2 Baseline Situation -- 6.2.1 Crop production -- Cropping pattern -- Crop yield -- Fertilizer usage -- Incidence of insects and diseases -- Economics of different crop enterprises -- 6.2.2 Household income -- 6.2.3 Sources of water and utilization pattern -- 6.2.4 Perceptions about production problems and future interventions -- 6.3 Process -- 6.3.1 Partnerships -- 6.3.2 Community mobilization -- Watershed committee -- Inclusion of women -- 6.3.3 Entry point activities -- 6.3.4 Dissemination -- Community programmes -- Soil health cards -- Wall writing -- 6.3.5 Capacity development -- 6.4 Interventions -- 6.4.1 Rainwater harvesting -- 6.4.2 Safe reuse of domestic wastewater for agriculture -- 6.4.3 Improving crop productivity -- Soil test-based fertilizer application -- On-farm demonstrations -- Kitchen garden -- Promoting organic manure -- Income-generating activity: spent malt-based business model -- 6.5 Sustainability -- 6.5.1 Increased yield -- 6.5.2 Increased water availability -- 6.6 Way Forward -- Acknowledgements -- References -- 7 Improving Water Availability and Diversification of Cropping Systems in Pilot Villages of North and Southern India -- 7.1 Introduction -- 7.2 Bundelkhand Region of Central India -- 7.2.1 Pilot site: Parasai-Sindh watershed, Jhansi -- 7.2.2 Baseline characterization -- 7.3 Kolar District of Peninsular India -- 7.3.1 Pilot site: Muduvatti watershed, Kolar -- 7.3.2 Baseline characterization -- 7.4 NRM Interventions Implemented in Parasai-Sindh Watershed -- 7.4.1 Entry point activities -- Formation of watershed committee -- Formation of environmental clubs -- 7.4.2 Rainwater harvesting -- 7.4.3 Agroforestry interventions -- 7.4.4 Productivity enhancement interventions -- 7.4.5 Developing forage resource -- 7.4.6 Income-generating activities -- Promoting agroforestry. Vermicomposting -- Introduction of dona-making machine -- 7.4.7 Capacity building -- Exposure visits -- Field day -- International Women's Day at ICRISAT -- Human health camp -- 7.4.8 Impact of watershed intervention on water resources availability and income -- 7.5 NRM Interventions Implemented in Muduvatti Watershed -- 7.5.1 Entry point activity -- Formation of watershed committee -- Soil fertility assessment -- 7.5.2 Rainwater harvesting -- 7.5.3 Productivity enhancement interventions -- 7.5.4 Livestock-related activities -- 7.5.5 Waste management: recycling, recovery and reuse -- Composting the crop residue and animal waste -- Wastewater treatment and safe reuse of treated wastewater for improving water productivity -- 7.5.6 Income-generating activities -- 7.5.7 Capacity building -- Farmer-to-farmer video dissemination -- Acknowledgements -- References -- 8 Scaling-up of Science-led Development - Sir Dorabji Tata Trust Initiative -- 8.1 Project Background -- 8.1.1 Why the project? -- 8.1.2 Pilot site details in Rajasthan and Madhya Pradesh -- 8.1.3 Cropping systems and production scenario in Rajasthan -- 8.1.4 Cropping systems and production scenario in Madhya Pradesh -- 8.2 Institutional Arrangements and Modalities of Scaling-up -- 8.3 Major Interventions -- 8.3.1 Mapping soil fertility degradation and management -- Soil health mapping -- Soil health management for enhanced crop and water productivity -- 8.3.2 Integrated rainwater management -- 8.3.3 Improved crops, varieties and cropping systems -- Promoting farmer-preferred crop varieties -- Intensification of rainy season fallows -- 8.3.4 Forage production for promoting livestock-based livelihoods -- On-farm fodder promotion -- Wasteland management -- 8.3.5 Other income-generating activities -- Kitchen gardening -- Vermicomposting and biomass generation -- Seed bank. Strengthening livestock-based livelihoods. Datta, Aviraj Chaturvedi, O P Dasgupta, S K Sawargaonkar, Gajanan Chander, Girish Kesava Rao, A V R Garg, Kaushal Wani, S P Raju, K V https://cds.cern.ch/auth.py?r=EBLIB_P_5602969 ebook ebook EBL Agriculture-India-Case studies EBL Natural resources-Management-Case studies EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664542 SzGeCERN 20210421202843.0 9780081025284 electronic version electronic version 9780081025284 print version 9780081025291 electronic version electronic version oai:cds.cern.ch:2664542 cerncds:BOOK EBL 5589266 eng TP360 .E547 2019 621.199 Barik, Debabrata Energy from toxic organic waste for heat and power generation San Diego, CA Elsevier Science & Technology 2018 228 p ebook Woodhead Publishing series in energy Front Cover -- Energy from Toxic Organic Waste for Heat and Power Generation -- Copyright -- Contents -- Contributors -- Chapter 1: Introduction to Energy From Toxic Organic Waste For Heat and Power Generation -- Chapter 2: Toxic Waste From Municipality -- 2.1 Introduction -- 2.2 Methods of Energy Recovery From Wastes -- 2.2.1 Thermal Conversions -- 2.2.1.1 Incineration -- 2.2.1.2 Pyrolysis -- 2.2.1.3 Gasification -- 2.2.2 Biochemical Conversion -- 2.3 Conclusions -- References -- Chapter 3: Energy Extraction From Toxic Waste Originating From Food Processing Industries -- 3.1 Introduction -- 3.2 Properties of Food Processing Waste -- 3.3 Food Waste and Its Associated Problem -- 3.4 Food Waste Within the Food-Energy-Water Nexus: A Proposed Conceptual Model -- 3.5 Reducing Food Waste: A Problem of Human Behavior -- 3.5.1 Composting -- 3.5.2 Landfill -- 3.5.3 Anaerobic Digestion -- 3.5.3.1 Biogas From Biomass, a Feasibility Issue -- 3.5.3.2 Factors That Influence Biogas Production -- Temperature -- Pretreatment -- C/N Ratio -- pH -- Hydraulic Retention Time -- Solid Concentration -- Agitation -- Seeding of the Biogas Plant -- Particle Size of Feedstock -- Use of Additives -- Microbial Strains -- Green Biomass Addition With Feedstock -- Digested Slurry Recycling: -- 3.5.4 Thermal Conversion of Food Waste -- 3.5.4.1 Pyrolysis -- Pyrolysis Mechanism -- Conventional Pyrolysis: -- Fast Pyrolysis: -- Flash Pyrolysis: -- 3.5.4.2 Gasification -- 3.6 Conclusions -- References -- Further Reading -- Chapter 4: Toxic Waste From Textile Industries -- 4.1 Introduction -- 4.2 Global Textile Scenario -- 4.3 Pollution in Textile Industry -- 4.4 Toxic or Hazardous Wastes -- 4.5 Contaminated Textile Effluents With Chemicals -- 4.6 Chlorinated Solvents -- 4.7 Hydrocarbon Solvents-Aliphatic Hydrocarbons. 4.8 Hydrocarbon Solvents-Aromatic Hydrocarbons -- 4.9 Oxygenated Solvents (Alcohols/Glycols/Ethers/Esters/Ketones/Aldehydes) -- 4.10 Grease and Oil Impregnated Wastes -- 4.11 Used Oils -- 4.12 Dyestuffs and Pigments Containing Dangerous Substances -- 4.13 Heat and Energy Generation From Textile Industry Waste -- 4.14 Microbial Fuel Cells -- 4.15 Conclusion -- References -- Chapter 5: Toxic Waste From Leather Industries -- 5.1 Leather Industry -- 5.2 Leather Production Processes -- 5.3 Pollution From Leather Industry -- 5.3.1 Waste Water -- 5.3.2 Solid Wastes -- 5.3.3 Volatile Organic Compounds -- 5.4 Toxic Chemicals Used in Leather Industry -- 5.5 Heat and Energy Generation From Leather Processing Waste -- 5.5.1 UASB Technology With Sulfur Recovery Plant -- 5.5.2 Biomethanation for Solid Waste Disposal -- References -- Chapter 6: Toxic Waste From Biodiesel Production Industries and Its Utilization -- 6.1 Introduction -- 6.2 Biodiesel Production -- 6.2.1 Raw Materials for Biodiesel Production -- 6.2.1.1 Plant Oils (Edible) -- 6.2.1.2 Plant Oils (Nonedible) -- 6.2.1.3 Used Edible Oils -- 6.2.1.4 Microalgae -- 6.2.1.5 Animal Fats -- 6.2.2 Biodiesel Production Methods -- 6.2.2.1 Pyrolysis -- 6.2.2.2 Dilution -- 6.2.2.3 Microemulsification -- 6.2.2.4 Transesterification -- 6.3 Waste From Biodiesel Production -- 6.3.1 Waste Water -- 6.3.2 Ion Exchange Resins -- 6.3.3 Magnesium Silicate (Magnesol) -- 6.3.4 Used Oil Sediment -- 6.3.5 Glycerin -- 6.4 Utilization of Waste From Biodiesel Production -- 6.5 Conclusions -- References -- Further Reading -- Chapter 7: Paper Industry Wastes and Energy Generation From Wastes -- 7.1 Introduction -- 7.2 Paper Making -- 7.2.1 Worldwide Paper Production -- 7.3 Wastes -- 7.3.1 Categories of Potential Pollutants -- 7.3.2 Sources of Waste Generation. 7.4 Production of Energy Products From Paper Mill Wastes -- 7.4.1 Incineration -- 7.4.2 Gasification -- 7.4.3 Pyrolysis -- 7.4.4 Anaerobic Digestion -- 7.4.5 Biodiesel -- 7.5 Conclusions -- References -- Chapter 8: Health Hazards of Medical Waste and its Disposal -- 8.1 Introduction -- 8.2 Fundamental Principles of a Waste Management Program -- 8.2.1 Duties of the Hospital Project Manager -- 8.2.2 Duties of the Water and Habitat Engineer -- 8.2.3 Duties of the Hospital Administrator -- 8.2.4 Duties of the Head Nurse -- 8.2.5 Duties of the Chief Pharmacist -- 8.2.6 Duties of the Head of Laboratory -- 8.3 Categories of Health-Care Waste -- 8.3.1 Major Sources (Hospitals and Medical Centers) -- 8.3.2 Methods to Sort Waste -- 8.3.3 Types of Waste -- 8.3.4 Types of Hazards -- 8.4 Minimization, Recycling -- 8.5 Minimum Approach to Overall Management of Health-Care Waste -- 8.5.1 Health Impacts of Health-Care Waste -- 8.5.1.1 Types of Hazards -- 8.5.1.2 Persons at Risk -- 8.5.2 Key Facts -- 8.5.3 Health Risks -- 8.5.4 Sharps-Related -- 8.5.5 Environmental Impact -- 8.5.6 Waste Management: Reasons for Failure -- 8.5.7 Treatment Alternatives for Infectious Medical Waste -- 8.5.8 Collection and Storage -- 8.5.9 Transport -- 8.6 The Way Forward -- 8.6.1 WHO's Response -- 8.7 Parameters to Be Monitored by the Waste-Management Officer -- 8.7.1 Duties and Responsibilities of Various Officials -- 8.7.1.1 Infection-Control Officer -- 8.7.1.2 Chief Pharmacist -- 8.7.1.3 Adiation Officer -- 8.7.1.4 Supply Officer -- 8.7.1.5 Hospital Engineer -- 8.8 Financial Aspects of Health-Care Waste Management -- 8.9 National Plans for Health-Care Waste Management -- 8.9.1 Purpose of a National Management Plan -- 8.9.2 Treatment Alternatives -- 8.9.3 International Recommendations for Waste Management -- Further Reading. Chapter 9: Hazardous Waste and Its Treatment Process -- 9.1 Introduction -- 9.2 Hazardous Wastes Management in India -- 9.3 Hazardous Waste: Identification and Classification -- 9.3.1 Identification -- 9.3.1.1 Listed Hazardous Wastes (Priority Chemicals) -- Characteristics of Hazardous Wastes -- 9.3.2 Classification -- 9.4 Hazardous Waste Treatment -- 9.4.1 Chemical and Physical Process -- 9.4.2 Thermal Process -- 9.4.3 Biochemical Process -- References -- Chapter 10: Cracking of Toxic Waste -- 10.1 Introduction -- 10.2 Toxic Waste Worldwide-Status -- 10.3 Toxic Waste: Identification and Classification -- 10.3.1 Properties of Toxic Waste -- 10.3.1.1 Reactive Wastes -- 10.3.1.2 Ignitable Wastes -- 10.3.1.3 Corrosive Wastes -- 10.3.2 Classification -- 10.3.2.1 Arsenic -- 10.3.2.2 Asbestos -- 10.3.2.3 Chromium -- 10.3.2.4 Cyanide -- 10.3.2.5 Lead -- 10.3.2.6 Cadmium -- 10.3.2.7 Mercury -- 10.3.2.8 Polychlorinated Biphenyls -- 10.3.2.9 Persistent Organic Pollutants -- 10.4 Cracking of Toxic Waste -- 10.4.1 Methods -- 10.4.1.1 Arsenic -- 10.4.1.2 Asbestos Disposal -- 10.4.1.3 Chromium Disposal -- 10.4.1.4 Cyanide Disposal -- First Stage -- Second Stage -- 10.4.1.5 Lead -- 10.4.1.6 Polychlorinated Biphenyls -- 10.4.1.7 Persistent Organic Pollutants -- 10.5 Other Methods -- 10.5.1 Pyrolysis and Catalytic Cracking -- 10.5.1.1 Pyrolysis -- 10.5.1.2 Co-pyrolysis -- 10.6 Conclusions -- References -- Chapter 11: Power Generation From Renewable Energy Sources Derived From Biodiesel and Low Energy Content Producer Gas for ... -- 11.1 Introduction -- 11.1.1 Renewable Energy in India -- 11.1.2 Current Status, Challenges, and Opportunities -- 11.1.3 Projected MSW Profile -- 11.2 Present Work -- 11.3 Development of Reactor Shell for LDPE -- 11.3.1 Production of Fuel Oil. 11.4 Down Draft Gasifier for Production of Producer Gas -- 11.5 Properties of HOME, Fuel Oil, and Producer Gas -- 11.6 Experimental Setup -- 11.6.1 Carburetor or Mixing Chamber for Air and Producer Gas -- 11.7 Results and Discussions -- 11.7.1 Production of Fuel Oil From LDPE -- 11.7.1.1 Effect of Temperature on Thermal Conversion -- 11.7.1.2 Effect of Temperature on Catalytic Conversion -- 11.7.1.3 Effect of Catalyst Fraction -- 11.7.1.4 Effect of Conversion Time -- 11.8 Performance, Combustion, and Emission Characteristics of Dual Fuel Engine -- 11.8.1 Performance Characteristics -- 11.8.2 Emission Characteristics -- 11.8.3 Combustion Characteristics -- 11.9 Conclusions -- References -- Chapter 12: Economic Factors for Toxic Waste Management -- 12.1 Introduction -- 12.2 Waste and Its Management for Economic Growth -- 12.2.1 Toxic Waste Management -- 12.3 Economic Assessment -- 12.4 Urbanization Environmental Degradation and Economic Growth -- 12.5 Energy From the Waste -- 12.6 Conclusions -- References -- Chapter 13: Comprehensive Remark on Waste to Energy and Waste Disposal Problems -- Index -- Back Cover. EBL201902 Engineering SzGeCERN EBL Hazardous wastes EBL Refuse as fuel BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5589266 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2664542 BOOK MIGRATED 2664540 SzGeCERN 20200503232029.0 9781138208865 electronic version electronic version 9781138208865 print version 9781315458168 electronic version electronic version oai:cds.cern.ch:2664540 cerncds:BOOK EBL 5584215 eng HV551.2 .G474 2019 658.4/056 Gephart, Robert P The Routledge companion to risk, crisis and emergency management Milton Routledge 2018 553 p Routledge companions in business, management and accounting Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Contents -- List of Figures -- List of Tables -- Preface -- Acknowledgments -- Authors -- Contributors -- PART I: An Introduction to Risk, Crisis and Emergency Management -- 1 Introduction to Risk, Crisis and Emergency Management in Enterprises and Organizations -- PART II: Foundational Processes -- 2 Key Challenges in Crisis Management -- 3 Post-disaster Recovery: Pathways for Fostering Disaster Risk Reduction -- 4 Crisis Communication: The Best Evidence from Research -- 5 Collective Fit for Emergency Response Teams -- PART III: Theoretical Viewpoints and Methods -- 6 Risk, Crisis and Organizational Failure: Toward a Post-rationalist View -- 7 Risk Sensemaking -- 8 Issues and Trends in Research Methods: How We Learn Affects What We Learn about Crises, Risks, and Emergency Responses -- 9 Researching Risk, Emergency and Crisis: Taking Stock of Research Methods on Extreme Contexts and Moving Forward -- 10 Local Translations of Operational Risk -- PART IV: Types of Crises -- 11 The Co-evolution of Reputation Management, Governance Capacity, Legitimacy and Accountability in Crisis Management -- 12 Relative Risk Construction through a Risk Boundary and Set of Risk Rituals: The Mining Context in the Soma Disaster -- 13 Systemic Planetary Risks: Implications for Organization Studies -- 14 Event Risks and Crises: Barriers to Learning -- 15 Bernácer's Topical Theory of Crisis and Unemployment -- 16 Risk and Human Resources -- PART V: International Case Studies -- 17 Invasive Species, Risk Management, and the Compliance Industry: The Case of Daro Marine -- 18 Tension in the Air: Behind the Scenes of Aviation Risk Management -- 19 The Risks of Financial Risk Management: The Case of Lehmann Brothers. 20 Blame and Litigation as Corporate Strategies in the Context of Environmental Disasters: Shell in Brazil -- 21 Family Firms and Stakeholder Management: Crisis at Blue Bell Ice Cream -- 22 Risky Double-Spiral Sensemaking of Academic Capitalism -- 23 Managing Risk in Healthcare Settings -- 24 Buncefield Stories: Organizational Learning and Remembering for Crisis Prevention -- PART VI: Current Issues -- 25 Spatial and Temporal Patterns in Global Enterprise Risk -- 26 The Development of Actionable Knowledge in Crisis Management -- 27 The Socio-Economic Approach to Management: Preventing Economic Crises by Harnessing Hidden Costs and Creating Sustainable Productivity -- 28 Why Crisis Management Must Go Global, and How to Begin -- PART VII: Dialogue and Commentary on the Future of Risk, Crisis and Emergency Management -- 29 Making Markets for Uninsured Risk: Protection Gap Entities (PGEs) as Risk-Processing Organizations in Society -- 30 Risks of Addressing vs. Ignoring Our Biggest Societal Problems: When and How Moon Shots Make Sense -- 31 Managing for the Future: A Commentary on Crisis Management Research -- 32 From Risk Management to (Corporate) Social Responsibility -- 33 Why We Need to Think More about National Political Philosophies of Risk Management -- 34 Supply Chain Risk: Transcending Research beyond Disruptions -- 35 The Janus Faces of Risk -- 36 Effectiveness of Regulatory Agencies -- Index. Miller, C Chet Svedberg Helgesson, Karin https://cds.cern.ch/auth.py?r=EBLIB_P_5584215 ebook ebook EBL Crisis management-Case studies EBL Emergency management-Case studies EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664539 SzGeCERN 20200503232029.0 9780429824630 electronic version electronic version 9781138331273 electronic version electronic version 9781138331273 print version oai:cds.cern.ch:2664539 cerncds:BOOK EBL 5584211 eng HD58.8 .H634 2019 658.4/06 Hodges, Julie Employee engagement for organizational change the theory and practice of stakeholder engagement Milton Routledge 2018 231 p Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of illustrations -- Acknowledgements -- Introduction -- Overview of the book -- PART 1: Overview of context and key theories -- 1. The accelerating business environment -- Learning outcomes -- Introduction -- Technology velocity -- Economic velocity -- Demographic velocity -- Environmental velocity -- Impact of velocity trends -- Summary -- Notes -- 2. Key concepts -- Learning outcomes -- Introduction -- Perspectives on organizations -- Organizational change (OC) -- The meaning of engagement -- Summary -- Notes -- 3. Theoretical perspectives of organizational change -- Learning outcomes -- Introduction -- The OC phenomenon -- Theoretical perspectives on OC -- Summary -- Implications -- 4. Theoretical perspectives of engagement -- Learning outcomes -- Introduction -- Roots of engagement -- Theoretical frameworks -- OC engagement versus other constructs -- Summary -- Implications -- PART 2: Dilemmas and drivers of OC engagement -- 5. The dilemma of OC engagement -- Learning outcomes -- Introduction -- Engagement - fad or fashion? -- The paradox of OC engagement -- The ethics of OC engagement -- OC engagement across cultures -- Summary -- Implications -- 6. Antecedents and outcomes of OC engagement -- Learning outcomes -- Introduction -- What does OC engagement look like? -- Antecedents -- Levels of engagement -- Outcomes of OC engagement -- Summary -- Implications -- Note -- PART 3: OC in practice -- 7. Creating an environment for OC engagement -- Learning outcomes -- Introduction -- Importance of leadership -- Theoretical perspectives on leadership -- Stakeholder relationships -- Power and politics -- Role of leaders and managers -- Creating a culture for OC engagement -- Leadership enablers of OC engagement -- Role of management -- Role of employees. Engagement contagion -- Summary -- Implications -- 8. Fostering OC engagement -- Learning outcomes -- Introduction -- Generic approaches -- Principles of OC engagement -- Summary -- Implications for practice -- 9. Conclusions and reflections on OC engagement -- The meaning of OC engagement -- The practice of OC engagement -- Future research -- References -- Index. https://cds.cern.ch/auth.py?r=EBLIB_P_5584211 ebook ebook EBL Organizational behavior EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664531 SzGeCERN 20200503232029.0 9781138103634 electronic version electronic version 9781138103634 print version 9781351592703 electronic version electronic version oai:cds.cern.ch:2664531 cerncds:BOOK EBL 5583067 eng HC79.E5 .T664 2019 658.4/012 Tonelli, Marcello Strategic management and the circular economy Milton Routledge 2018 257 p Routledge research in strategic management Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Contents -- List of Figures and Tables -- Preface -- Acknowledgements -- PART I: An Overview -- 1 The Challenges of the Produce-Use-Dispose Model -- 1.1 Introduction -- 1.2 Exceeding Planetary Natural Thresholds -- 1.2.1 Boundary: Climate Change -- 1.2.2 Boundary: Loss of Biosphere Integrity -- 1.2.3 Boundary: Changes to Biogeochemical Flows -Nitrogen and Phosphorus -- 1.2.4 Boundary: Freshwater Use -- 1.2.5 Boundary: Land Use Change -- 1.2.6 Boundary: Release of Novel Entities -- 1.2.7 Boundary: Atmospheric Aerosol Loading -- 1.2.8 Boundary: Ocean Acidification due to Fossil Fuel CO[sub(2)] -- 1.2.9 Boundary: Loss of Stratospheric Ozone due to Chlorofluorocarbons (CFCs) -- 1.3 Scarcity of Raw Materials and Price Volatility -- 1.4 Rising Middle-Class Population -- 1.5 Structural Inefficiencies of the Current Economic Model -- 1.6 Conclusions -- 2 An Introduction to the Circular Economy -- 2.1 Introduction -- 2.2 Biosphere and Technosphere Products -- 2.3 Technological, Regulatory, and Social Factors -- 2.4 Conclusions -- PART II: Circular Economy Strategy -- 3 A CE Framework for Action -- 3.1 Introduction -- 3.2 EMS vs CE -- 3.3 CE Guiding Principles -- 3.4 CE Business Objectives -- 3.5 CE Areas of Intervention -- 3.5.1 Innovative Product Design -- 3.5.2 Reverse Cycles -- 3.5.3 Green Internal Operations -- 3.5.4 Supplier Engagement -- 3.5.5 Internal Alignment -- 3.5.6 External Collaboration -- 3.6 Conclusions -- 4 CE-Enabling Technologies -- 4.1 Introduction -- 4.2 Digital Technologies -- 4.3 Design and Engineering Technologies -- 4.4 Conclusions -- 5 Business Models for a CE -- 5.1 Introduction -- 5.2 Net-Zero Innovation -- 5.2.1 Profit Sources -- 5.2.2 Most Suitable Products/Markets/Industries -- 5.2.3 Key Areas of Intervention for Implementation Strategy. 5.3 Servitization -- 5.3.1 Profit Sources -- 5.3.2 Most Suitable Products/Markets/Industries -- 5.3.3 Key Areas of Intervention for Implementation Strategy -- 5.4 Product Life Extension -- 5.4.1 Profit Sources -- 5.4.2 Most Suitable Products/Markets/Industries -- 5.4.3 Key Areas of Intervention for Implementation Strategy -- 5.5 Product Residual Value Recovery -- 5.5.1 Profit Sources -- 5.5.2 Most Suitable Products/Markets/Industries -- 5.5.3 Key Areas of Intervention for Implementation Strategy -- 5.6 Conclusions -- PART III: CE Strategic Management -- 6 Introducing the CE Strategic Process -- 6.1 Introduction -- 6.2 Organizational Culture -- 6.3 The CE Strategic Process -- 6.4 Current Strategy Identification -- 6.5 Idea Trees -- 6.5.1 Supporting Methods for Idea Tree Analysis: Circular Brainstorming -- 6.6 Conclusions -- 7 CE Data Collection and Prioritization: Firm, Industry, and External Levels of Analysis -- 7.1 Introduction -- 7.2 The Value Chain -- 7.2.1 Supporting Methods for Undertaking Value Chain Analysis: Interviewing Key Personnel -- 7.3 The VRIE Framework -- 7.3.1 Value -- 7.3.2 Rareness -- 7.3.3 Imitability -- 7.3.4 Exploitation -- 7.4 Five Forces -- 7.4.1 Supporting Methods for Undertaking CE Industry Analysis: Interviewing Key Personnel -- 7.5 PEST Analysis -- 7.6 Supporting Methods for Undertaking PEST Analysis: Interviewing Key Personnel -- 7.7 Conclusions -- 8 CE Data Integration -- 8.1 Introduction -- 8.2 PEST vs Five Forces Matrix -- 8.3 SWOT Analysis -- 8.3.1 SWOT Adaptation #1: The Dynamic CE-SWOT -- 8.3.2 SWOT Adaptation #2: The CE-TOWS Matrix -- 8.4 Conclusions -- 9 Determining Your Preferred CE Position -- 9.1 Introduction -- 9.2 Strategic Quadrant -- 9.2.1 Supporting Methods for Market Positioning: Interviewing Key Personnel -- 9.3 Approaches to Internationalization. 9.3.1 Supporting Methods for Internationalization Decision-Making: International Strategic Alternatives Checklist -- 9.4 Conclusions -- 10 Gap Analysis, CE Strategy Formulation, and Planning -- 10.1 Introduction -- 10.2 Gap Analysis -- 10.2.1 Supporting Methods for CE Gap Analysis: Environmental Impacts Table -- 10.2.2 Supporting Methods for CE Gap Analysis: Circular Readiness Assessment -- 10.3 Formulating a CE Strategy -- 10.3.1 Supporting Methods for CE Strategy Formulation: Decision Priority Matrix -- 10.3.2 Supporting Methods for CE Strategy Formulation: The Three-Step Process for Piloting CE Ideas -- 10.4 CE Strategic Planning -- 10.4.1 Supporting Methods for Strategic Planning: Alternative Approaches Checklist -- 10.5 Conclusions -- PART IV CE @ 360° -- 11 Tools for CE Analysis at a Micro Level -- 11.1 Introduction -- 11.2 Life Cycle Assessment (LCA) -- 11.3 Life Cycle Costing (LCC) -- 11.4 Material Input per Unit of Service (MIPS) -- 11.5 Conclusions -- 12 Tools for a CE Analysis at a Macro Level -- 12.1 Introduction -- 12.2 Material Flow Analysis (MFA) -- 12.3 Value Chain Analysis (VCA) -- 12.4 Environmental Input-Output Analysis (EIOA) -- 12.5 Life Cycle Assessment (LCA) -- 12.6 Ecological Footprint (EF) -- 12.7 Environmentally weighted Material Consumption (EMC) -- 12.8 Land and Ecosystem Accounts (LEAC) -- 12.9 Human Appropriation of Net Primary Production (HANPP) -- 12.10 Environmental Impact Assessment (EIA) and Strategic Environmental Assessment (SEA) -- 12.11 Cost-Benefit Analysis (CBA) and Cost- Effectiveness Analysis (CEA) -- 12.12 Conclusions -- 13 Conclusions -- Index. Cristoni, Nicolò https://cds.cern.ch/auth.py?r=EBLIB_P_5583067 ebook ebook EBL Strategic planning EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664528 SzGeCERN 20200503232029.0 9780429858987 electronic version electronic version 9781138311343 electronic version electronic version 9781138311343 print version oai:cds.cern.ch:2664528 cerncds:BOOK EBL 5582882 eng HD30.255 .B875 2019 658.4012 Borland, Helen Business strategies for sustainability Milton Routledge 2018 461 p Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- List of figures -- List of tables -- About the editors -- About the contributors -- Foreword and acknowledgements -- PART I: Delineating sustainability challenges and visions -- 1 Sustainability: a wicked problem needing new perspectives -- 2 Addressing the global crisis of economic growth: an unavoidable ethical challenge -- 3 Business and the emerging ecological civilization -- 4 Creating theory for business strategies for sustainability and climate change: transitional and transformational strategies and ecocentric dynamic capabilities -- PART II: Contradiction, integration and transformation of business and sustainability logics -- 5 What we know about business strategies for sustainability: an inductive typology of the research -- 6 Corporate inaction on climate change: a systematic literature review -- 7 Is customer-centric sustainability an element of marketing strategy? Evidence from Indian firms -- 8 The importance of market and entrepreneurial strategic orientations among companies committed to sustainability values and practices -- 9 The emerging paradigm of enviro-ethical dialogism, corporate social responsibility and consumer dynamism -- PART III: Innovating and developing strategic capabilities for sustainability -- 10 Strategic management and sustainability -- 11 Corporate social innovation: top-down, bottom-up, inside-out and outside-in -- 12 Dynamic capabilities for sustainable innovation: what are they? -- 13 Exploring challenges to developing corporate climate change strategies in Brazil -- 14 Sustainability: from conceptualization to operationalization: a literature review -- PART IV: Assessing and valuing sustainability -- 15 Unbundling corporate sustainability: management and assessment. 16 The value relevance of carbon disclosure strategies: a review of accounting research -- 17 Exploring the validity of corporate climate reporting under the Global Reporting Initiative, Carbon Disclosure Project, and Greenhouse Gas Protocol -- 18 Promoting sustainability through corporate social responsibility: an Indian perspective -- 19 Environmental cause marketing -- PART V: Towards multi-level engagement and collaboration -- 20 Motivating employees for sustainability: a comprehensive review of micro-behavioural research (2005-present) -- 21 Power and shareholder saliency -- 22 Environmental sustainability for industry legitimacy and competitiveness: the case of CSR collective strategies in the cement industry -- 23 Implementing community sustainability strategies through cross-sector partnerships: value creation for and by businesses -- Index. Lindgreen, Adam Maon, Francois Ambrosini, Véronique Palacios Florencio, Beatriz Vanhamme, Joelle https://cds.cern.ch/auth.py?r=EBLIB_P_5582882 ebook ebook EBL Management-Environmental aspects EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664518 SzGeCERN 20200503232029.0 9781138193758 electronic version electronic version 9781138193758 print version 9781317273271 electronic version electronic version oai:cds.cern.ch:2664518 cerncds:BOOK EBL 5580133 eng HD2731 .C677 2019 658.4/08 Bouma, Jan Jaap Corporate sustainability inclusive business approaches contributing to a sustainable world Milton Routledge 2018 197 p Routledge research in sustainability and business Wolters, Teun https://cds.cern.ch/auth.py?r=EBLIB_P_5580133 ebook ebook EBL Corporations-Environmental aspects EBL Corporations-Social aspects EBL Management-Environmental aspects EBL Social responsibility of business EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664483 SzGeCERN 20200808000728.0 9781119471158 electronic version electronic version 9781119471370 electronic version electronic version 9781119471370 print version oai:cds.cern.ch:2664483 cerncds:BOOK EBL 5568250 eng HF5718 .L473 2019 658.4/5 Lerbinger, Otto Corporate communication an international and management perspective Newark, NJ John Wiley & Sons 2018 359 p Corporate Communication: An International and Management Perspective -- Contents -- Preface -- Acknowledgements -- Author Biography -- Overview of the Book's Five Parts -- Part I: The Extended Enterprise -- Chapter 1: Introduction: The Domain of Corporate Communication -- 1.1 Stakeholder Management -- 1.2 Twin Goals of Corporate Communication -- 1.2.1 Strengthening Relationships with Stakeholders -- 1.2.2 Maintaining Corporate Reputation -- 1.3 Conclusions -- Discussion Questions -- Chapter 2: Stakeholder Relations: Investors and Employees -- 2.1 Investor Relations -- 2.1.1 SEC's Full and Timely Disclosure Rules -- 2.1.2 Feedback and Power -- 2.1.3 Investor Relations Activities -- 2.2 Employee Relations -- 2.2.1 Maslow's Hierarchy of Needs -- 2.2.2 Employee Communications -- 2.2.3 Recruitment and Training of Workers -- 2.2.4 Helping Workers Adjust to Foreign Employers -- 2.2.5 Labor Unions and Collective Bargaining -- 2.2.6 Standardization vs. Customization of Employee Relations -- 2.3 Conclusions -- Discussion Questions -- Chapter 3: Stakeholder Relations: The Community and Consumers -- 3.1 Community Relations -- 3.1.1 Programs and Activities -- 3.1.2 Importance in Oil and Mining Industries -- 3.1.3 Developing a Community Relations Program -- 3.2 Consumer Relationship Management (CRM) -- 3.2.1 Moving from a Transaction to a Relationship -- 3.2.2 Social Contract and Consumer Rights -- 3.2.3 Power Relationship -- 3.2.4 Social Responsibility to Consumers and Society -- 3.2.5 Emerging Concept of ``Social CRM´´ -- 3.2.6 Privacy -- 3.3 Conclusions -- Discussion Questions -- Case 1 General Electric - Profile of a Multi-National Corporation -- Case 2 Wells Fargo Misapplies CRM -- Part II: Strategic Application of Communication Practices -- Chapter 4: Public Relations: Influencing Public Opinion. 4.1 Historical Connection Between Public Relations and Public Opinion -- 4.1.1 The Public Relations Audit -- 4.1.2 Use of Surveys in Public Relations -- 4.1.3 Current Difficulties with Surveys -- 4.1.4 The Edelman Trust Barometer -- 4.1.5 CNBC/Burson-Marsteller Corporate Perception Indicator -- 4.1.6 Pew Research and Just Capital -- 4.2 Gaining Influence Through Publicity -- 4.2.1 Applying Perception Management: Putting ``a Spin´´ on a Story -- 4.2.2 The Challenge Faced by Publicity: Limited Human ``Channel Capacity´´ -- 4.2.3 Proactive Media Relations Strategy -- 4.2.4 Bernays - A Prominent Publicist -- 4.2.5 Harold Burson - Thoughts About Public Opinion -- 4.2.6 Proactive Media Relations -- 4.3 International Application of Persuasion -- 4.3.1 Public Diplomacy Campaigns -- 4.3.2 Business Support -- 4.3.3 Social Media Support -- 4.4 International Differences and Constraints in Media Relations -- 4.4.1 Use of ``Guanxi´´ and Press Clubs -- 4.4.2 Unprofessional Practices -- 4.4.3 Constraints on Press Freedom -- 4.4.4 Singapore's Authoritarianism -- 4.4.5 Insult Laws -- 4.4.6 Concentrated Media Ownership -- 4.5 Conclusions -- Discussion Questions -- 4.A Foreign Media Relations Guide -- Chapter 5: Public Affairs: Exercising Power in the Socio-Political Environment -- 5.1 Central Role of Government Relations -- 5.1.1 Government Relations in China -- 5.1.2 Cases of Intervention by Governments -- 5.2 Government Litigation -- 5.3 The Term ``Corporate Diplomacy´´ Grows -- 5.4 Tools of Public Affairs -- 5.4.1 Negotiations -- 5.4.2 Lobbying -- 5.5 Conclusions -- Discussion Questions -- Chapter 6: Global Marketing Communication: Facilitating Exchanges -- 6.1 Integrated Marketing Communication (IMC) -- 6.2 The Marketing Mix: The 4 Ps -- 6.2.1 Product, Price, and Place -- 6.2.2 The Promotion Mix -- 6.3 Accommodating International Differences. 6.3.1 ``Think Global, Act Local´´ - Global Brand Architecture -- 6.3.2 Standardization vs Customization -- 6.3.3 Recognizing Cultural Differences -- 6.4 Conclusions -- Discussion Questions -- Chapter 7: Social Media and Big Data: Extending Relationships -- 7.1 The Internet -- 7.1.1 Overseas Expansion Invites Languages Other than English -- 7.2 Social Media Marketing -- 7.2.1 Major Types -- 7.2.2 Videos - Additional Impact -- 7.2.3 Viral and Buzz Marketing -- 7.3 Social Media Impact on Corporate Communications -- 7.3.1 Changed Power Relations -- 7.4 Big Data - its Uses and Limitations -- 7.4.1 Analyzing Big Data -- 7.4.2 Applications of Big Data Analysis -- 7.5 Improving the Reliability of Big Data -- 7.5.1 Limitations of Big Data -- 7.5.2 New Approaches and Research Centers -- 7.6 The Future of Big Data - The Next Step -- 7.6.1 Artificial Intelligence (AI) -- 7.7 Conclusions -- Discussion Questions -- Chapter 8: Digital and Social Marketing: Extending Practices and Influencing Behavior -- 8.1 Growth of Digital Marketing -- 8.1.1 Awareness of New Technology by Public Relations and Public Affairs -- 8.1.2 New University Degree Programs and Company Positions -- 8.1.3 Impact of Digital Marketing -- 8.1.4 Role of Public Affairs and Advocacy Advertising -- 8.2 Social Marketing - Changing Consumer and Citizen Attitudes and Behavior -- 8.2.1 Application to Public Health -- 8.2.2 Tackling the Obesity Issue Worldwide -- 8.2.3 Use of Wide Range of Communication Practices -- 8.3 Conclusions -- Discussion Questions -- Case 3 High Drug Prices Become a Public Issue -- Case 4 Uber Requires Public Affairs Assistance and Cultural Overhaul -- Part III: International Perspective -- Chapter 9: The Force of Globalization -- 9.1 Conditions That Facilitate Globalization -- 9.1.1 Enabling Effect of Communication and Other Technologies -- 9.1.2 Rise of Scientific Thinking. 9.2 Drivers of Globalization -- 9.2.1 Search for New Markets -- 9.2.2 Seeking Low Labor Costs -- 9.2.3 Seeking National and Company Growth -- 9.2.4 The Newest Driver: Inversion Deals -- 9.3 Obstacles to Globalization -- 9.3.1 Resurgent Nationalism -- 9.3.2 National Security Concerns -- 9.3.3 Weak Infrastructures -- 9.3.4 Widening Income Disparities -- 9.4 Saving Globalization -- 9.5 Conclusions -- Discussion Questions -- Chapter 10: Interacting with International Players -- 10.1 Powerful MNCs -- 10.1.1 Illustrative Company Profiles -- 10.2 Nation States -- 10.2.1 China's Antitrust and Bribery Actions -- 10.2.2 France Confronts Google Over Its Tax Deal -- 10.3 Supranational Organizations -- 10.3.1 United Nations -- 10.3.2 World Economic Institutions -- 10.4 European Union -- 10.5 Civil Society -- 10.6 NGOs as Advocacy Groups -- 10.7 Collaboration is Growing -- 10.8 Conclusions -- Discussion Questions -- Chapter 11: Political and Economic Features of Nation States -- 11.1 Major Political Systems and Ideologies -- 11.1.1 Authoritarian Systems -- 11.1.2 Democratic Systems -- 11.2 Major Economic Systems -- 11.2.1 Free Market System -- 11.2.2 Command and Control Economies -- 11.2.3 Mixed Systems: Social Corporativism and Social Capitalism -- 11.3 Political Risk Assessment -- 11.3.1 Due Diligence in AES's Acquisition of Telsi in the Republic of Georgia -- 11.4 Conclusions -- Discussion Questions -- Chapter 12: Social and Cultural Features of Nation States -- 12.1 Major Aspects of a Country's Social System -- 12.1.1 Community Institutions -- 12.1.2 Demographics and Other Forms of Audience Segmentation -- 12.2 Features of Cultural Systems -- 12.2.1 Individualism vs. Collectivism -- 12.2.2 Power Distance -- 12.2.3 Uncertainty Avoidance -- 12.2.4 Masculinity-Femininity -- 12.2.5 High vs. Low Context -- 12.2.6 Other Cultural Variables -- 12.3 Media Systems. 12.3.1 Al Jazeera -- 12.4 Conclusions -- Discussion Questions -- Chapter 13: The Nation Brand: Comparison with Product and Company Brand -- 13.1 Differences between Brand and Reputation -- 13.1.1 Anholt-GfK Roper Nation Brands Index -- 13.2 Building and Strengthening a Nation State -- 13.2.1 Nation-Building -- 13.2.2 Economic Development -- 13.2.3 Attracting Industry: Approaches by Countries and Cities -- 13.3 Strategy to Attract Foreign Investment -- 13.4 How Nation Brands Are Tarnished -- 13.4.1 Reputational Risks and Crises -- 13.5 Strengthening a Nation Brand -- 13.5.1 Olympics -- 13.6 World Economic Forum -- 13.7 Conclusions -- Discussion Questions -- Case 5 Can Public Relations Promote Globalization? -- Case 6 Building China's Nation Brand -- Part IV: Pivotal Issues Facing Management -- Chapter 14: Sustainability and Climate Change -- 14.1 Sustainability Begins with the Environment -- 14.1.1 Social Costs and Social Reports -- 14.1.2 Environmental Programs -- 14.2 Focus on Availability of Natural Resources -- 14.2.1 The Price System and Recycling -- 14.2.2 Greater Attention to Supplier Relations -- 14.2.3 Unilever Launches a Broad-Scale Plan -- 14.2.4 Other Sustainability Measures -- 14.3 Climate Change: The Ultimate Sustainability Challenge -- 14.3.1 Global Warming and Human Activity Argument -- 14.3.2 Application of Communication Practices -- 14.3.3 International Actions and Agreements -- 14.4 Conclusions -- Discussion Questions -- Chapter 15: Technology and Innovation: New Risks and Issues -- 15.1 Gaining Acceptance for New Technologies -- 15.1.1 The Diffusion/Adoption Process -- 15.1.2 Controversial Technologies -- 15.2 Intellectual Property Rights -- 15.2.1 Patent Disputes and Theft of IP -- 15.2.2 Litigation Public Relations -- 15.3 Technology Creates Risks -- 15.4 The Science and Healthcare Settings of Technology. 15.4.1 Science Settings at the Whitehead Institute and Brookhaven National Lab. https://cds.cern.ch/auth.py?r=EBLIB_P_5568250 ebook ebook EBL Business communication EBL Business enterprises-Computer networks EBL Communication in management EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664467 SzGeCERN 20210421202850.0 9781422121382 electronic version electronic version 9781422121382 print version 9781633691124 electronic version electronic version oai:cds.cern.ch:2664467 cerncds:BOOK EBL 5558456 eng HD58.8 .M494 2008 658.406 Meyerson, Debra E Rocking the boat how tempered radicals effect change without making trouble Boston, MA Harvard Business Review Press 2008 257 p ebook Intro -- Contents -- Introduction -- Part 1: Tempered Radicals -- Chapter 1: Who Tempered Radicals Are and What They Do -- Chapter 2: Different Ways of Being "Different -- Part 2: How Tempered Radicals Make a Difference -- Chapter 3: Resisting Quietly and Staying True to One's "Self -- Chapter 4: Turning Personal Threats into Opportunities -- Chapter 5: Broadening the Impact through Negotiation -- Chapter 6: Leveraging Small Wins -- Chapter 7: Organizing Collective Action -- Part 3: Challenges for Tempered Radicals -- Chapter 8: Facing the Difficulties (and Conditions that Ease the Difficulties) -- Chapter 9: Tempered Radicals as Everyday Leaders -- Appendix A: Research Design and Methods -- Appendix B: Sample Interview Protocol -- Notes -- Acknowledgments -- Index -- About the Author. Most people feel at odds with their organizations at one time or another: Managers with families struggle to balance professional and personal responsibilities in often unsympathetic firms. Members of minority groups strive to make their organizations better for others like themselves without limiting their career paths. Socially or environmentally conscious workers seek to act on their values at firms more concerned with profits than global poverty or pollution. Yet many firms leave little room for differences, and people who don't "fit in" conclude that their only option is to assimilate or leave. In Rocking the Boat, Debra E. Meyerson presents an inspiring alternative: building diverse, adaptive, family-friendly, and socially responsible workplaces not through revolution but through walking the tightrope between conformity and rebellion. Meyerson shows how these "tempered radicals" work toward transformational ends through incremental means—sticking to their values, asserting their agendas, and provoking change without jeopardizing their hard-won careers. Whether it's by resisting quietly, leveraging "small wins," or mobilizing others in legitimate but powerful ways, tempered radicals turn threats to their identities into opportunities to make a positive difference in their companies—and in the world. Timely and provocative, Rocking the Boat puts self-realization and change within everyone's reach--whether your difference stems from race, gender, sexual orientation, values, beliefs, or social perspective. EBL201902 Information Transfer and Management SzGeCERN EBL Corporate culture EBL Organizational behavior BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5558456 ebook n 201908 21 PUBLIC https://catalogue.library.cern/legacy/2664467 BOOK MIGRATED 2664461 SzGeCERN 20210421202850.0 9781118907184 electronic version electronic version 9781118907184 print version 9781118943694 electronic version electronic version oai:cds.cern.ch:2664461 cerncds:BOOK EBL 5553534 eng T56 .K863 2019 658.4012 Kunc, Martin Strategic analytics integrating management science to strategy Newark, NJ John Wiley & Sons 2018 390 p ebook Cover -- Title Page -- Copyright -- Contents -- About the Companion website -- Chapter 1 Introduction to Strategic Analytics -- 1.1 What is Analytics? -- 1.2 What is Management Science? -- 1.3 What is Information Technology: New Challenges? -- 1.4 What is Strategic Management? -- 1.4.1 What are the Characteristics of Strategic Problems? -- 1.5 Strategy Analytics: Integrating Management Science with Strategic Management -- References -- Chapter 2 Dynamic Managerial Capabilities for a Complex World Under Big Data -- 2.1 Dynamic Managerial Capabilities -- 2.1.1 Task Dimension -- 2.1.2 Cognitive Dimension -- 2.1.3 Behavior Dimension -- 2.2 Integrating Management Science and Strategic Management: Managers as Modelers -- 2.2.1 Modeling -- 2.2.2 Behavior with and Beyond Models -- 2.2.3 Modeling Systems -- 2.2.4 Big Data Analytics Capabilities -- 2.3 End of Chapter -- 2.3.1 Revision Questions -- 2.3.2 Case Study: The Future of Strategizing -- References -- Further Reading -- Chapter 3 External Environment: Political, Economic, Societal, Technological and Environmental Factors -- 3.1 The PESTE Analysis -- 3.1.1 Limitations of PESTE Analysis -- 3.2 Integrating Management Science in the Strategic Management Process -- 3.2.1 Achieving Consistency in PESTE Analysis Using the Analytic Hierarchy Process -- 3.3 End of Chapter -- 3.4.1 Revision Questions -- 3.4.2 Case Study: Westmill Co-op and the Rise of Renewable Energy -- References -- Further Reading -- Chapter 4 Industry Dynamics -- 4.1 Defining the Industry -- 4.2 Porter's Five Forces and Industry Dynamics -- 4.2.1 Bargaining Power of Suppliers -- 4.2.2 Bargaining Power of Buyers -- 4.2.3 Substitutes -- 4.2.4 Threat of New Entrants -- 4.2.5 Intensity of Rivalry -- 4.2.6 Strategic Issues Derived from Five Forces Analysis -- 4.3 Integrating Management Science into Strategic Management. 4.3.1 Revenue Management -- 4.3.2 Evaluating Competitors' Performance in the Market Using Text Mining -- 4.4 End of Chapter -- 4.4.1 Revision Questions -- 4.4.2 Case Study: Strategic Evaluation of Entering in a New Market as a Low-cost Airline Using System Dynamics Modeling -- 4.4.2.1 Describing the Key Strategic Aspects of a Business Using a System Dynamics Model -- 4.4.2.2 The easyJet Case -- References -- Further Reading -- Chapter 5 Industry Evolution -- 5.1 Dynamic Behavioral Model of Industry Evolution -- 5.1.1 Industries as Feedback Systems -- 5.1.2 A Behavioral Model of Organizations -- 5.1.3 Dynamic Behavioral Model of Industry Evolution -- 5.1.4 Types of Dynamic Behavior and Strategic Implications on the Evolution of Industries -- 5.2 Integrating Management Science into Strategic Management -- 5.2.1 Exploring Industry Evolution Using System Dynamics -- 5.2.2 Understanding How the Levels of Integration/Interaction Between Companies Affect the Evolution of Companies Using NKC Models -- 5.2.2.1 Insights from the Model -- 5.2.3 Uncovering the Evolution of the Technology in an Industry Using Latent Topic Modeling -- 5.3 End of Chapter -- 5.3.1 Revision Questions -- 5.3.2 Case Study: The Rise of Smartphones and its Impact on the Camera Industry -- References -- Further Reading -- Chapter 6 Competitive Advantage: Static Analysis -- 6.1 The Direction of a Company: Vision and Mission -- 6.2 Defining Value and Market Segmentation -- 6.3 Mapping the Activities to Deliver Value -- 6.3.1 Value Chain -- 6.3.2 Activity System Map -- 6.3.3 Business Model Canvas -- 6.4 Type of Business Strategies -- 6.4.1 Cost Advantage -- 6.4.2 Differentiation Advantage -- 6.4.3 Blue Ocean Strategy -- 6.5 Integrating Management Science into Strategic Management -- 6.5.1 Uncovering Market Segments Using Analytics Tools: Market Basket Transactions Analysis. 6.6 End of Chapter -- 6.6.1 Revision Questions -- 6.6.2 Case Study: Revisiting Porter's Generic Strategies Using System Dynamics -- 6.6.2.1 The Model -- References -- Futher Reading -- Chapter 7 Dynamic Resource Management -- 7.1 Resources and Capabilities -- 7.2 Resource Management -- 7.2.1 Resource Conceptualization -- 7.2.2 Resource Development -- 7.2.3 Business Performance -- 7.3 Integrating Management Science into Strategic Management -- 7.3.1 Resource Conceptualization Using Resource Mapping (as a Problem Structuring Method) -- 7.3.2 Resource Development Using Resource Mapping, System Dynamics and Scenarios -- 7.3.3 Resource Development Under Uncertainty Using Decision Trees -- 7.3.4 Developing Decision Trees from Big Data -- 7.3.5 Inferring Business Performance from Management Science Methods -- 7.4 End of Chapter -- 7.4.1 Revision Questions -- 7.4.2 Case Study: Majestic Wines -- References -- Futher Reading -- Chapter 8 Organizational Design -- 8.1 Organizational Components -- 8.1.1 Structure -- 8.1.2 Processes -- 8.2 Integrating Management Science into Strategic Management -- 8.2.1 Network Analysis for Organizational Structure Design -- 8.2.2 Business Process Modeling -- 8.2.3 Improving Manufacturing Productivity Using Predictive Analytics -- 8.3 End of Chapter -- 8.3.1 Revision Questions -- 8.3.2 Case Study: Improving Processes in Health Services Using Simulation -- References -- Futher Reading -- Chapter 9 Performance Measurement System -- 9.1 Measuring Financial Performance -- 9.2 Strategic Controls -- 9.3 Integrating Management Science into Strategic Management -- 9.3.1 Causal Models to Design Performance Management Systems -- 9.3.2 Implementing the Performance Management System: Analyzing, Reviewing, and Reporting Performance Data - the Role of Analytics -- 9.4 End of Chapter -- 9.4.1 Revision Questions. 9.4.2 Case Study: The Impact of Performance Measurement Systems Adoption in Business Performance: the Shipping Industry Case -- References -- Futher Reading -- Chapter 10 Start-ups -- 10.1 The Components of a Business Plan for a Start-up -- 10.1.1 Management -- 10.1.2 Market -- 10.1.3 Product/Service and Business Processes -- 10.1.4 Organization Design and Resources -- 10.2 Financial Management -- 10.3 Integrating Management Science into Strategic Management -- 10.3.1 Monte Carlo Simulation -- 10.4 End of Chapter -- 10.4.1 Revision Questions -- 10.4.2 Case Study: Designing the Next Boutique Winery -- References -- Futher Reading -- Chapter 11 Maturity -- 11.1 Strategiesfor Mature Organizations -- 11.1.1 Concentrated Growth, and Market and Product Development -- 11.1.2 Integration -- 11.1.3 Diversification -- 11.1.4 Associations with Other Companies: Joint Venture, Strategic Alliances and Consortia -- 11.2 Integrating Management Science into Strategic Management -- 11.2.1 Linear Optimization -- 11.2.2 Extensions in Linear Programming -- 11.2.3 Making the Integration of Organizations Reality Through Internet of Things and Analytics -- 11.3 End of Chapter -- 11.3.1 Revision Questions -- 11.3.2 Case Study: Choosing the Right Set of Capabilities - Development Projects to Achieve Multiple Organization Goals -- References -- Futher Reading -- Chapter 12 Regeneration -- 12.1 Strategies for Regenerating Organizations -- 12.1.1 Innovation -- 12.1.2 Turnaround -- 12.1.3 Ambidextrous Strategies -- 12.2 Integrating Management Science into Strategic Management -- 12.2.1 New Product Development: the Use of Text Analytics -- 12.2.2 Implementing Turnaround Strategies Using Data Envelopment Analysis: Identifying Operational Units for Either Improving or Pruning -- 12.3 End of Chapter -- 12.3.1 Revision Questions. 12.3.2 Case Study: Managing Strategic Change Successfully: the Role of Benefits Realization Management -- References -- Futher Reading -- Index -- EULA. EBL201902 Information Transfer and Management SzGeCERN EBL Decision making EBL Management science BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5553534 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2664461 BOOK MIGRATED 2664445 SzGeCERN 20200503232028.0 9780429792489 electronic version electronic version 9781498780698 electronic version electronic version 9781498780698 print version oai:cds.cern.ch:2664445 cerncds:BOOK EBL 5535475 eng TS170.5 .I584 2019 658.408 Sonnemann, Guido Integrated life-cycle and risk assessment for industrial processes and products 2nd ed. Milton Chapman and Hall/CRC 2018 435 p Advanced methods in resource and waste management Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Foreword to the Second Edition -- Foreword to the First Edition -- Preface -- Acknowledgments -- Editors -- Contributors -- General Abbreviations, Symbols, and Indices -- Chapter 1: Basic Principles in Sustainability Management -- Chapter 2: Life-Cycle Assessment -- Chapter 3: Life-Cycle Impact Assessment -- Chapter 4: Environmental Risk Assessment -- Chapter 5: Criticality Assessment of Natural Resources -- Chapter 6: Combining and Integrating Life-Cycle and Risk Assessment -- Chapter 7: Life-Cycle Toxicity Assessment -- Chapter 8: Life-Cycle Criticality Assessment -- Chapter 9: Uncertainty Assessment by Monte Carlo Simulation -- Chapter 10: Environmental Damage Estimations for Industrial Process Chains -- Chapter 11: Site-Dependent Impact Analysis -- Chapter 12: Applications of Environmental Impact Analysis in Industrial Process Chains -- Index. Tsang, Michael Schuhmacher, Marta https://cds.cern.ch/auth.py?r=EBLIB_P_5535475 ebook ebook EBL Environmental risk assessment EBL Manufacturing processes-Environmental aspects EBL New products-Environmental aspects EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664397 SzGeCERN 20210421202857.0 9780801440076 electronic version electronic version 9780801440076 print version 9781501731686 electronic version electronic version oai:cds.cern.ch:2664397 cerncds:BOOK EBL 5516036 eng HD58.6 .N446 2003 658.4/042 Kochan, Thomas A Negotiations and change from the workplace to society Ithaca, NY Cornell University Press 2018 368 p ebook Cover -- NEGOTIATIONS AND CHANGE -- Title -- Copyright -- Contents -- Acknowledgments -- Introduction -- PART I: THE BEHAVIORAL THEORY OF NEGOTIATIONS -- 1. Conceptual Foundations: Walton and McKersie's Subprocesses of Negotiations -- 2. New Directions in Teaching Negotiations: From Walton and McKersie to the New Millennium -- PART II: WORKPLACE CHANGE AND TACIT NEGOTIATIONS -- 3. Changing Psychological Contracts: Implications for Human Resource Management and Industrial Relations -- 4. Changing Relations between Supervisors and Employees: From Deal Making to Strategic Negotiations -- 5. New Forms of Work Groups: Exocentric Teams -- 6. Leaning toward Teams: Divergent and Convergent Trends in Diffusion of Lean Production Work Practices -- 7. Workplace Justice, Zero Tolerance, and Zero Barriers -- PART III: TRANSFORMATIONS IN LABOR-MANAGEMENT RELATIONS -- 8. How Process Matters: A Five-Phase Model for Examining Interest-Based Bargaining -- 9. Collective Bargaining and Human Resource Management in Britain: Can Partnership Square the Circle? -- 10. Partnerships and Flexible Networks: Alternatives or Complementary Models of Labor-Management Relations? -- 11. The Truth about Corporate Governance -- 12. Union-Nominated Directors: A New Voice in Corporate Governance -- 13. Negotiating Equality? Women, Work, and Organized Labor in the European Union -- PART IV: NEGOTIATIONS IN OTHER ARENAS -- 14. Applying the Insights of Walton and McKersie to the Environmental Context -- 15. Collective Bargaining and Public Policy Dispute Resolution: Similarities and Differences -- 16. Negotiating Identity: First-Person Plural Subjective -- PART V: THE FUTURE OF NEGOTIATIONS -- 17. From the Behavioral Theory to the Future of Negotiations -- References -- Contributors -- Index. Major changes within and between organizations are now generally negotiated by the parties that have a stake in the consequences of the changes. This was not always so. In 1965, with A Behavioral Theory of Labor Negotiations, Richard Walton and Robert... EBL201902 Information Transfer and Management SzGeCERN BOOK Lipsky, David B https://cds.cern.ch/auth.py?r=EBLIB_P_5516036 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2664397 BOOK MIGRATED 2664394 SzGeCERN 20200503232028.0 9781138735996 electronic version electronic version 9781138735996 print version 9781351736374 electronic version electronic version oai:cds.cern.ch:2664394 cerncds:BOOK EBL 5514744 eng HB615 .S993 2018 658.421 Szycher, Michael Szycher's practical handbook of entrepreneurship and innovation Milton Chapman and Hall/CRC 2018 725 p Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Author -- Section I: Startups under the Microscope -- 1: Entrepreneurship and Innovation -- 1.1 Introduction -- 1.2 What Makes Startups Successful? -- 1.3 What Makes Startups Fail? -- 1.4 Types of Entrepreneurs -- 1.5 Entrepreneurial DNA -- 1.6 Discovery, Invention, and Innovation -- 1.6.1 Distinctions between Invention and Innovation -- 1.7 Entrepreneurship and Innovation -- 1.7.1 Four Drivers of Innovation -- 1.7.1.1 Emerging Technologies -- 1.7.1.2 Competitor Actions -- 1.7.1.3 New Requirements -- 1.7.1.4 External Environment -- 1.7.2 Innovation Pitfalls -- 1.7.3 Replication from Previous Employment -- 1.7.4 Impact of Geographic Location -- 1.8 Search for a Suitable Definition of Entrepreneurship -- 1.9 Market Leadership -- 1.9.1 Choosing Your Target Market -- 1.9.2 Expected Growth -- 1.10 What is Your Exit DNA? -- Notes -- 2: External Factors Affecting the Entrepreneurial Ecosystem -- 2.1 Introduction -- 2.2 Crucial Importance of Government Policies -- 2.2.1 Business Ecosystems -- 2.2.2 Creating a Friendly Business Culture -- 2.2.3 Fostering Growth of Entrepreneurial Ecosystems -- 2.2.4 Government Policies and Entrepreneurial Ecosystems -- 2.3 Regional Clusters of Innovation -- 2.4 Entrepreneurship and the Internet -- 2.4.1 Communications -- 2.4.2 Research -- 2.4.3 Promotion -- 2.4.4 Safe Use -- 2.5 Facilitated Sources of Financing -- 2.5.1 Personal Savings -- 2.5.2 Friends and Family -- 2.5.3 Credit Cards -- 2.5.4 Banks -- 2.6 Other Funding Sources -- 2.6.1 Angel Investors -- 2.6.2 Venture Investors -- 2.6.3 Corporate Venture Capital Funds -- 2.6.4 Government Programs -- 2.7 Strengths of Small Business Entities (SBEs) -- 2.7.1 How Can a Small Business Entity Possibly Compete? -- 2.8 Clearly Define Your Potential Market -- 2.8.1 Primary Research. 2.8.2 Secondary Research -- 2.8.3 Market Analysis -- 2.9 Selecting Your Optimal Business Location -- 2.10 Workplace and Environmental Regulations -- Notes -- 3: Government Impact on Technology-Based Innovation -- 3.1 Introduction -- 3.2 The Poster Child of Technological Innovation -- 3.3 Poster Boy of Technological Failure -- 3.4 National Institute of Standards and Technology Study of Invention versus Innovation -- 3.4.1 Transitioning from Invention to Innovation -- 3.5 Role of State Governments -- 3.6 Early-Stage Technology-Based Innovation -- 3.6.1 Application of Technical, Market, or Business Model Strategy -- 3.6.2 Stage of Technology Development -- 3.6.3 Vital Infrastructure Requirements -- 3.7 Critical Role of Government in Innovation -- 3.7.1 Information Technology -- 3.7.1.1 Google Search Engine -- 3.7.1.2 Global Positioning System (GPS) -- 3.7.1.3 Artificial Intelligence and Speech Recognition -- 3.7.1.4 ARPANET: Progenitor of the Internet -- 3.7.1.5 Smartphones -- 3.7.2 Energy -- 3.7.2.1 Visible LED Lighting Technology -- 3.7.2.2 Shale Gas -- 3.7.3 Health Care -- 3.7.3.1 Magnetic Resonance Imaging -- 3.7.3.2 Human Genome Project -- 3.7.4 Agriculture -- 3.7.4.1 Hybrid Corn -- 3.7.4.2 Lactose-Free Milk -- 3.8 Fostering Innovation by Government -- 3.8.1 Ways to Foster Innovation -- 3.8.1.1 Buying Innovation -- 3.8.1.2 Reducing the Risks of Innovation -- 3.8.1.3 Collaboration on R&D to Support Innovation -- 3.8.1.4 Using Standards or Regulations -- 3.8.2 Broadening Role of Government -- 3.9 Five Reasons Government Is Important to Innovation -- Notes -- 4: Entrepreneurial Venture Secret Sauce -- 4.1 Introduction -- 4.2 Entrepreneurial Ventures and Small Businesses -- 4.3 Silicon Valley and Entrepreneurship -- 4.3.1 History of a Legend -- 4.3.2 Silicon Prevails as Semiconductor. 4.3.3 Silicon Valley Is the Only Place Not Trying to Become Silicon Valley -- 4.3.4 Immigrant Valley -- 4.3.5 Immigration and Startups -- 4.4 High-Impact Firms Universe -- 4.4.1 Gender and High-Impact Firms -- 4.4.2 Distribution of High-Impact Firms -- 4.4.3 Gazelle Firms -- 4.4.4 Mice, Elephants, and Gazelles -- 4.4.5 Common Gazelle Misconceptions -- 4.5 Globalization and Entrepreneurial Ventures -- 4.5.1 Definitions of Entrepreneurial Ventures, SBEs, and SMEs -- 4.5.2 Mobility of Highly Skilled Personnel -- 4.5.3 Globalization Challenges to Small Ventures -- 4.6 What Is Your Secret Sauce? -- Notes -- Section II: Entrepreneurial Self-Assessment -- 5: Entrepreneurial Self-Starters -- 5.1 Introduction -- 5.2 Self-Employment Pros and Cons -- 5.3 Are You Infected by the Self-Employment "Bug"? -- 5.4 Why Did You Start Your Startup? -- 5.5 Generating Business Ideas from a Problem -- 5.6 The Business Environment -- 5.7 Preparing for a Visit from "Angels" -- 5.7.1 The Funding Gap Blues -- 5.8 Characteristics of Angel Investors -- 5.9 Approaching Angel Investors -- 5.10 Investment Drivers and Resistance Points -- 5.11 Angel's Investment Stipulations -- Notes -- 6: Entrepreneurial Personalities -- 6.1 Introduction -- 6.2 Entrepreneurial "Personality Characteristics" -- 6.2.1 Personality Characteristics or Types -- 6.3 Careers Suggested by MBTI Typology -- 6.4 Most and Least Entrepreneurial Types Compared -- 6.5 MBTI Dichotomies -- 6.6 High-Level Description of Personality Types -- 6.6.1 ISTJ: The Duty Fulfiller -- 6.6.2 ISTP: The Mechanic -- 6.6.3 ISFJ: The Nurturer -- 6.6.4 ISFP: The Artist -- 6.6.5 INFJ: The Protector -- 6.6.6 INFP: The Idealist -- 6.6.7 INTJ: The Scientist -- 6.6.8 INTP: The Thinker -- 6.6.9 ESTP: The Doer -- 6.6.10 ESTJ: The Guardian -- 6.6.11 ESFP: The Performer -- 6.6.12 ESFJ: The Caregiver -- 6.6.13 ENFP: The Inspirer. 6.6.14 ENFJ: The Giver -- 6.6.15 ENTP: The Visionary -- 6.6.16 ENTJ: The Executive -- Notes -- Section III: Entrepreneurial Environment -- 7: Leadership Qualities -- 7.1 Introduction -- 7.2 Leadership Qualities: Startups Are Started by Leaders -- 7.2.1 Leaders versus Managers -- 7.2.2 Centrality of Leadership in a Startup -- 7.2.3 Leadership Is Situational -- 7.3 Establishing Your Founder Team -- 7.3.1 Elements of Skilled Teams -- 7.3.2 Establishing Your Board of Directors: Quality, Not Quantity -- 7.4 Authority, Power, and Influence -- 7.5 The Founder and Organizational Politics -- 7.5.1 Szycher's Founder's Supremacy Theory -- 7.5.2 Organizational Persona -- 7.6 The Dominant Coalition: Chaos Creates Opportunity -- 7.6.1 Dominant Coalition as Change Agent -- 7.6.1.1 Theory of Change -- 7.6.1.2 Force Field Analysis -- 7.7 Leaders Need Followers -- 7.7.1 Current Views of Followership -- 7.7.2 The Followership Universe -- 7.8 Time Management -- 7.8.1 The Urgent-Important Matrix -- 7.9 Conflict Management -- 7.10 Entrepreneurial Rewards -- 7.11 Entrepreneurial Types -- 7.12 Summary -- 7.13 Ten Commandments of Leadership39 -- 7.14 Overcoming Organizational Resistance to Change -- 7.14.1 Managing Change -- 7.14.2 Kotter's Eight-Step Process for Leading Change -- 7.14.3 Beer and Nohria's "Cracking the Code of Change" -- Notes -- 8: Communicating Value to Investors -- 8.1 Introduction -- 8.2 Chasing Capital and Credibility -- 8.2.1 Communicate a Viable Competitive Strategy -- 8.2.2 Utilize Strategic Partnerships -- 8.3 Communication Process -- 8.3.1 Determining the Investment Proposition of Your Company -- 8.3.2 Targeting the Right Investors -- 8.3.3 Develop Your Communication Platform Specific to Your Targeted Investor Audience. 8.3.4 Maintain Constant Communications with Your Investor Audience So That Key Drivers of Business Are Current and Obvious to Investors -- 8.3.5 Corporate Core Values Communications -- 8.3.5.1 Pfizer -- 8.3.5.2 General Electric -- 8.4 Less Sizzle-More Steak -- 8.4.1 Personal Presentation Skills -- 8.4.1.1 Lead with Greed -- 8.4.1.2 Why Should They Invest in Your Company? -- 8.4.1.3 Match Your Presentation to Your Audience -- 8.4.1.4 Do Not Try to Educate -- 8.4.1.5 Ask for the Order -- 8.5 Crisis Communications and Management -- 8.5.1 Crisis Communication -- 8.5.2 Crisis Management -- 8.5.2.1 Situational Crisis Communications Theory -- 8.5.3 Typology of Crises -- 8.5.4 Crisis Communication Life Cycle -- 8.5.4.1 Initial Phase -- 8.5.4.2 Maintenance Phase -- 8.5.4.3 Resolution Phase -- 8.5.4.4 Evaluation Phase -- 8.5.4.5 Social Media and Crisis Management -- 8.5.4.6 Crisis Management Teams -- 8.6 The Crisis-Ready Organization -- 8.6.1 Business Continuity Planning -- 8.7 Practical Advice on Crisis Management -- 8.7.1 Pre-Crisis Phase -- 8.7.2 Crisis Response Phase -- 8.7.2.1 Initial Response -- 8.7.2.2 Reputation Repair -- 8.7.2.3 Post-Crisis Evaluation -- Notes -- 9: Corporate Entrepreneurship -- 9.1 Introduction -- 9.2 Definitions -- 9.3 Kelly Johnson's 14 Rules of Skunk Works9 -- 9.4 Theory of Intrapreneurship -- 9.4.1 The 3M Illustration -- 9.5 Characteristics of Intrapreneurs -- 9.6 External and Internal Business Environment -- 9.7 Culture Regarding Innovation -- 9.8 Corporate Support for Internal Business Creation -- 9.9 Critical Issues in Intrapreneurship -- 9.9.1 DIKK Approach -- 9.10 Spin Zone -- 9.10.1 Spin-Out -- 9.10.2 Spin-Off Reorganization -- 9.10.3 Equity Carve-Out -- 9.11 Intrapreneurship in Academia -- 9.12 Obstacles to Intrapreneurship -- 9.13 Intrapreneurial Life Cycle -- 9.14 Ten Commandments of Intrapreneurship44,45 -- Notes. 10: Marketing and Marketing Research on a Shoestring. https://cds.cern.ch/auth.py?r=EBLIB_P_5514744 ebook ebook EBL Entrepreneurship EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664386 SzGeCERN 20210421202859.0 9781787545717 electronic version electronic version 9781787545717 print version 9781787545724 electronic version electronic version oai:cds.cern.ch:2664386 cerncds:BOOK EBL 5507811 eng HD30.2 .E953 2017 658.4038 Huang, Zhimin Evidence based modelling in management Bradford Emerald Publishing 2017 189 p ebook Cover -- EDITORIAL ADVISORY BOARD -- Guest editorial -- A RIDIT approach to evaluate factors influencing tourist destination brand selection behaviour pertaining to Indian tourism sector -- Dynamic capabilities and their impact on research organizations' R&D and innovation performance -- Causal modelling of HR flexibility and firm performance in Indian IT industries -- Modeling the key barriers to lean construction using interpretive structural modeling -- Analyzing the interaction of factors for flexibility in supply chains -- Risk-agility interactive model: a new look at agility drivers -- Environmentally concerned consumer behavior: evidence from consumers in Rajasthan -- Inventory model in a four-echelon integrated supply chain: modeling and optimization. EBL201902 SzGeCERN Information Transfer and Management BOOK Shaikh, Imlak Sharma, Satyendra Kr J. Model. Manag. 4 https://cds.cern.ch/auth.py?r=EBLIB_P_5507811 ebook 201902 n 201908 21 PUBLIC https://catalogue.library.cern/legacy/2664386 BOOK MIGRATED 2664380 SzGeCERN 20210421202859.0 9781948976572 electronic version electronic version 9781948976572 print version 9781948976589 electronic version electronic version oai:cds.cern.ch:2664380 cerncds:BOOK EBL 5501536 eng HD30.255 .G888 2018 658.4083 Gutterman, Alan S Sustainable entrepreneurship New York, NY Business Expert Press 2018 210 p ebook Cover -- Contents -- Chapter 1: Introduction to Entrepreneurship -- Chapter 2: Sustainability -- Chapter 3: Ecopreneurship -- Chapter 4: Social Entrepreneurship -- Chapter 5: Corporate Sustainability -- Chapter 6: Sustainable Entrepreneurship -- About the Author -- Index -- Adpage -- Backcover. EBL201902 Information Transfer and Management SzGeCERN EBL Business enterprises-Environmental aspects BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5501536 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2664380 BOOK MIGRATED 2664351 SzGeCERN 20210421202902.0 9781108423830 electronic version electronic version 9781108423830 print version 9781108542906 electronic version electronic version oai:cds.cern.ch:2664351 cerncds:BOOK EBL 5473082 eng HC79.T4 .I525 2018 658.4/063 Niosi, Jorge Innovation systems, policy and management Cambridge Cambridge University Press 2018 538 p ebook Cover -- Half-title page -- Title page -- Copyright page -- Contents -- List of Figures -- List of Tables -- List of Contributors -- Preface -- Acknowledgements -- List of Abbreviations -- Introduction: Institution Systems, Policies and Management -- Part I Innovation Policy and Innovation Systems -- 1 Moving Forward in Sectoral Systems Research: Taxonomies, Evolution and Modelling -- 2 Effectiveness of Direct and Indirect R&D Support -- 3 From Market Fixing to Market Creating: A New Framework for Innovation Policy -- 4 Strategic Alliances: Identifying Recent Emerging Sub-Fields of Research -- Part II Innovation in Developing and Emerging Countries -- 5 National Systems of Innovation in Developing Countries -- 6 Innovation, Credit Constraints, and National Banking Systems: A Comparison of Developing Nations -- 7 Pro-Cyclical Dynamics of STI Investment in Mexico: The Inversion of the Schumpeterian Reasoning -- 8 Gaps in the Relative Efficiency of National Innovation Systems and Growth Performance across OECD and BRICS Countries -- 9 Differential Effects of Currency Undervaluation on Economic Growth in Mineral- vs Manufacturing-Exporting Countries: Revealing the Source of the Vicious Procyclicality in the Resource-cursed South -- Part III Regional Innovation Systems and Policies -- 10 Innovation Policies and New Regional Growth Paths: A Place-Based System Failure Framework -- 11 Spinoffs and Clustering -- 12 Examining the Technological Innovation Systems of Smart Cities: The Case of Japan and Implications for Public Policy and Institutional Design -- 13 Agglomeration of Invention in the Bay Area: Not Just ICT -- Part IV Innovation Management and its Links with Policy -- 14 Knowledge-Intensive Entrepreneurship and Future Research Directions -- 15 The Three Great Issues Confronting Europe - Economic, Environmental and Political -- Index. Describes how institutions and markets can best be structured in order to promote innovation in key economic sectors. EBL201902 Information Transfer and Management SzGeCERN EBL Technological innovations-Economic aspects EBL Technological innovations-Government policy BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5473082 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2664351 BOOK MIGRATED 2664348 SzGeCERN 20200503232028.0 9781138495012 electronic version electronic version 9781138495012 print version 9781351024884 electronic version electronic version oai:cds.cern.ch:2664348 cerncds:BOOK EBL 5453453 eng HD75.6 .S658 2019 658.408 Spitzeck, Heiko Talking sustainability in the boardroom Milton Routledge 2018 171 p Cover -- Title -- Copyright -- Contents -- List of figures -- List of tables -- Foreword -- About the authors -- Introduction -- 1 Why discuss sustainability at board level? -- 2 How to insert sustainability into board talk? -- 3 Board composition and competencies -- 4 A dedicated sustainability committee -- 5 Stages of sustainability governance -- Conclusion -- Interviews and insights -- References -- Index. Lins, Clarissa https://cds.cern.ch/auth.py?r=EBLIB_P_5453453 ebook ebook EBL Boards of directors EBL Management-Environmental aspects EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664304 SzGeCERN 20200503232027.0 9781138053649 electronic version electronic version 9781138053649 print version 9781351682275 electronic version electronic version oai:cds.cern.ch:2664304 cerncds:BOOK EBL 5400708 eng HD57.7 .S675 2018 658.4/092 Sosik, John J Full range leadership development pathways for people, profit, and planet 2nd ed. Milton Routledge 2018 353 p Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- About the Authors -- Foreword -- Preface to Second Edition -- Preface to First Edition -- 1 Introducing Full Range Leadership Development -- Why Full Range Leadership Development Is Essential for Exceptional Performance Today -- Leadership for Our Dynamic World and Lives -- Demographic Changes -- Technology Trends -- Geopolitical Alterations -- New Generations of Workers Bring New Ideas -- Organizational Modifications -- Environmental Issues -- And the Research Says . . . -- The Components of Full Range Leadership Development Theory -- Laissez-Faire -- Passive Management-by-Exception -- Active Management-by-Exception -- Contingent Reward -- The 5ls of Transformational Leadership -- Idealized Influence-Behaviors and Attributes -- Inspirational Motivation -- Intellectual Stimulation -- Individualized Consideration -- Full Range Leadership Development and the History of Leadership Thought -- Trait Theory -- Psychodynamic Theory -- Skills Theory -- Emotional Intelligence -- Pragmatic or Problem-Solving Leadership Theory -- Style Theory -- Situational Leadership Theory -- Contingency Theory -- Path-Goal Theory -- Leader-Member Exchange (LMX) Theory -- Servant Leadership Theory -- Ethical Leadership Theory -- Authentic Leadership Theory -- Summary Questions and Reflective Exercises -- Notes -- 2 The Full Range Leadership Development System -- Sidney Poitier and To Sir, With Love -- Leadership Is a System -- Leader -- Follower -- Situation -- Confluence of Leader, Follower, and Situation -- The Total Leadership System -- Full Range Leadership Systems Thinking -- Process Model for Understanding Full Range Leadership Development -- Putting Full Range Leadership Development Systems Thinking into Practice -- Be Honest with Yourself -- Personal Reflections are Essential for FRLD. Take the Multifactor Leadership Questionnaire Now -- Establish a Personal Leadership Mission Statement -- Find a Learning Partner -- Make FRLD Reflection a Part of Your Schedule -- Use Self-Rewards and Positive Affirmations -- Set Goals with a Personal Leadership Development Plan -- Summary Questions and Reflective Exercises -- Notes -- 3 Idealized Influence Behaviors and Attributes: The Humane Side of Transformational Leadership -- The Idealized Leadership of Mohandas Gandhi -- Idealized Influence Behaviors: Definition and Examples -- Talk About Your Most Important Values and Beliefs -- Talk About the Importance of Trusting Each Other -- Specify the Importance of Having a Strong Sense of Purpose -- Consider the Moral/Ethical Consequences of Your Decisions -- Emphasize the Importance of Teamwork -- Champion Exciting New Possibilities That Can Be Achieved Through Teamwork -- Idealized Influence Attributes: Definition and Examples -- Instill Pride in Others for Being Associated with You -- Go Beyond Self-Interests for the Good of Others -- Act in Ways That Build Others' Respect -- Display a Sense of Power and Confidence -- Reassure Others That Obstacles Will Be Overcome -- Rationale for and Effects of Idealized Influence Behaviors and Attributes -- Putting Idealized Influence into Practice -- Display the Behaviors Described in This Chapter -- Identify and Leverage Your Strengths and Those of Others -- Improve Your Perspective-Taking Capacity -- Work on Your Self-Awareness -- Gauging Your Leadership Self-Awareness -- Learn About Becoming an Authentic Transformational Leader -- Summary Questions and Reflective Exercises -- Notes -- 4 Inspirational Motivation: The Emotional Side of Transformational Leadership -- Inspirational Motivation: Definition and Examples -- Talk Optimistically About the Future. Talk Enthusiastically About What Needs to Be Accomplished -- Articulate a Compelling Vision of the Future -- Provide an Exciting Image of What Is Essential to Consider -- Express Confidence That Goals Will Be Achieved -- Rationale for and Effects of Inspirational Motivation -- Charisma as an Important Foundation of Inspirational Motivation: Pros and Cons -- Putting Inspirational Motivation into Practice -- Display the Behaviors Described in This Chapter -- Boost Your Self-Confidence -- Write Mission and Vision Statements for Your Organization -- Study the Rhetoric of Inspirational Leadership -- Work to Improve Your Public Speaking Ability -- Use Storytelling Techniques to Articulate Your Vision -- Build Consensus Around Your Vision -- Summary Questions and Reflective Exercises -- Notes -- 5 Intellectual Stimulation: The Rational Side of Transformational Leadership -- Intellectual Stimulation: Definition and Behavioral Examples -- Reexamine Critical Assumptions to Question Whether They Are Appropriat -- Seek Different Perspectives When Solving Problems -- Get Others to Look at Problems from Many Different Angles -- Suggest New Ways of Looking at How to Complete Assignments -- Encourage Nontraditional Thinking to Deal with Traditional Problems -- Encourage Rethinking Those Ideas That Have Never Been Questioned Before -- Rationale for and Effects of Intellectual Stimulation -- Putting Intellectual Stimulation into Practice -- Display the Behaviors Described in This Chapter -- Identify and Remove Roadblocks to Intellectual Stimulation -- Your Organization -- Your Leader -- Your Followers -- Yourself -- Use Pragmatic/Problem-Solving Leadership -- Use Brainstorming -- Promote the Use of Fantasy -- Imagine Alternative States -- Learn to Think Differently -- Ask Challenging Questions -- Summary Questions and Reflective Exercises -- Notes. 6 Individualized Consideration: The Nurturing Side of Transformational Leadership -- Individualized Consideration: Definition and Behavioral Examples -- Consider Individuals as Having Different Needs, Abilities, and Aspirations from Others -- Treat Others as Individuals Rather Than a Member of a Group -- Listen Attentively to Others' Concerns -- Help Others Develop Their Strengths -- Spend Time Teaching and Coaching -- Promote Self-Development -- Rationale for and Effects of Individualized Consideration -- Putting Individualized Consideration into Practice -- Display the Behaviors Described in This Chapter -- Individuation -- Diversity Leadership Issues -- Creating Cultures of Diversity Leadership -- Mentoring -- Benefits and Functions of Mentoring -- Become Interested in the Wellbeing and Character Strengths of Others -- Celebrate Diversity -- Establish Mentoring/Coaching Programs in Your Organization -- Create Strategies for Continuous Personal Improvement -- Summary Questions and Reflective Exercises -- Notes -- 7 Contingent Reward and Management-by-Exception Active: The Two Faces of Transactional Leadership -- Contingent Reward: Definition and Behavioral Examples -- Set Goals for and with Followers -- Suggest Pathways to Meet Performance Expectations -- Actively Monitor Followers' Progress and Provide Supportive Feedback -- Provide Rewards When Goals Are Attained -- Management-by-Exception Active: Definition and Behavioral Examples -- Closely Monitor Work Performance for Errors -- Focus Attention on Mistakes, Complaints, Failures, Deviations, and Infractions -- Arrange to Know If and When Things Go Wrong -- Rationale for and Effects of Transactional Leadership Behaviors -- Contingent Reward: Justification and Expected Outcomes -- MBE-A: Justification and Expected Outcomes -- Putting Transactional Leadership into Practice. Applying Contingent Reward Leadership -- Display the Behaviors Described in This Chapter -- Provide the Resources Needed by Followers to Reach Their Goals -- Use Rewards to Support Six Sigma and Total Quality Management Initiatives -- Applying MBE-A Leadership -- Display the Behaviors Described in This Chapter -- Set Standards -- Emphasize Accountability and Responsibility -- Assess Risk and Be Alert -- Summary Questions and Reflective Exercises -- Notes -- 8 Management-by-Exception Passive and Laissez-Faire: Inactive Forms of Leadership -- The Legacy of Lazy Leaders -- Management-by-Exception Passive: Definition and Behavioral Examples -- Behavioral Examples -- Intervene Only If Standards Are Not Met -- Wait for Things to Go Wrong Before Taking Action -- Believe That "If It Ain't Broke, Don't Fix It" -- React to Mistakes Reluctantly -- Laissez-Faire: Definition and Behavioral Examples -- Avoid Getting Involved, Making Decisions, or Solving Problems -- Be Absent When Needed -- Delay and Fail to Follow Up -- Avoid Emphasizing Results -- Rationale for and Effects of Passive Leadership Behaviors -- MBE-P: Justification and Expected Outcomes -- Laissez-Faire: Justification and Expected Outcomes -- Putting Passive Forms of Leadership into Practice -- Applying MBE-P Leadership -- Display the Behaviors Described in This Chapter -- Place Energy on Maintaining the Status Quo -- Fix the Problem and Get Back to Coasting Along -- Applying Laissez-Faire Leadership -- Please Avoid the Behaviors Described in This Section -- Talk About Getting Things Done, But Let Others Take the Lead -- Show Lack of Interest When Things Go Wrong -- Let Things Settle Naturally -- Summary Questions and Reflective Exercises -- Notes -- 9 Sharing Full Range Leadership within Teams -- Team Leadership Lessons from The Beatles -- Carry That Weight -- Don't Let Me Down -- Come Together. Tell Me What You See. Jung, Dongil https://cds.cern.ch/auth.py?r=EBLIB_P_5400708 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664302 SzGeCERN 20200503232027.0 9781138549234 electronic version electronic version 9781138549234 print version 9781351001182 electronic version electronic version oai:cds.cern.ch:2664302 cerncds:BOOK EBL 5400655 eng HD30.255 .G739 2018 658.4/092 Grayson, David All in why sustainability is the future of business Milton Routledge 2018 225 p Cover -- Title -- Copyright -- Contents -- List of figures -- Acknowledgements -- The authors -- Foreword -- Introduction -- PART ONE The evolution of corporate sustainability leadership -- 1 Twenty years of the GlobeScan-SustainAbility Leaders Survey -- 2 Crossing the threshold to corporate sustainability leadership -- PART TWO Going All In -- The attributes of corporate sustainability leadership: introduction -- 3 Purpose -- 4 Plan -- 5 Culture -- 6 Collaboration -- 7 Advocacy -- 8 Unilever: going All In -- 9 Interface: scaling Mount Sustainability -- 10 What businesses should do now to go All In -- PART THREE Now for the future -- 11 Individual leadership -- 12 2030 leadership horizon -- Conclusion -- Afterword -- Appendix: the GlobeScan-SustainAbility Leaders Survey methodology & historical ranking of leaders -- Disclosures -- Index. Coulter, Chris Lee, Mark https://cds.cern.ch/auth.py?r=EBLIB_P_5400655 ebook ebook EBL Leadership EBL Management-Environmental aspects EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664281 SzGeCERN 20210421202909.0 9781787562677 electronic version electronic version 9781787562677 print version 9781787562684 electronic version electronic version oai:cds.cern.ch:2664281 cerncds:BOOK EBL 5391443 eng HD58.8 .N498 2018 658.406 Wetzel, Ralf Next concepts for successful organizational change Bradford Emerald Publishing 2018 117 p ebook Cover -- EDITORIAL ADVISORY BOARD -- Guest editorial -- Power relations in organizational change: an activity-theoretic perspective -- Objective environmental conditions and perceived environmental uncertainty -- Entrepreneurial initiatives as a microfoundation of dynamic capabilities -- From entity to process: toward more process-based theorizing in the field of organizational change -- Financing organizational changes from without. EBL201902 SzGeCERN Information Transfer and Management BOOK Georg Will, Matthias Hoque, Zahirul J. Account. Organiz. Chang. 1 https://cds.cern.ch/auth.py?r=EBLIB_P_5391443 ebook 201902 n 201908 21 PUBLIC https://catalogue.library.cern/legacy/2664281 BOOK MIGRATED 2664278 SzGeCERN 20200503232027.0 9780815386773 electronic version electronic version 9780815386773 print version 9781351174800 electronic version electronic version oai:cds.cern.ch:2664278 cerncds:BOOK EBL 5391291 eng HC79.E5 .S878 2018 658.408 Krosinsky, Cary Sustainable innovation and impact Milton Routledge 2018 319 p Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- List of contributors -- Acknowledgments -- 1. Introduction -- 2. What is innovation? -- PART I: Corporate perspectives -- 3. Searching for sustainability in human capital -- The evolution of human capital -- Measuring human capital -- Conclusion -- References -- 4. The potential of multi-stakeholder engagement: Argentina's Ledesma as a case study -- Introduction -- The sugarcane industry: risks and challenges -- The Ledesma case -- Key lessons and opportunities -- Future research and considerations -- References -- 5. Up in smoke: A study of palm oil-related deforestation in Indonesia -- Summary -- Reasons behind the expansion of the oil palm industry -- Environmental impacts of oil palm-related deforestation -- Companies and business practices responsible for oil palm-related deforestation -- The roundtable on sustainable palm oil and its inadequacies -- What can be done? How each group in the supply chain can help arrest deforestation -- Conclusion -- References -- 6. Sustainability frameworks: Green chemistry and sustainable engineering in pharmaceuticals -- Corporate commitments -- Green chemistry and engineering -- Sustainable industrial process -- References -- PART II: Investment perspectives -- 7. To divest or not to divest -- The birth of a movement -- The evolution of the financial and social implications of fossil fuel investment -- Diverse approaches to divestment -- Drawing parallels -- How effective is divestment, really? -- Reservations about divestment -- Alternative solutions -- Bibliography -- 8. Shareholder activism 2.0 -- Advisement vs. activism -- The case for the ESG fund -- A role for third-party advisors? -- The case for ESG companies -- Conclusion -- Note -- Bibliography -- 9. Financing mechanisms for sustainable infrastructure. Defining sustainability and infrastructure -- Where will the capital come from? -- An overview of asset classes and investment priorities -- Innovative solutions for the future -- References -- 10. Carbon market solutions -- Introduction -- Cap and trade -- Carbon tax -- Price of carbon -- Solutions -- Conclusion -- References -- 11. Investing in the context of China's green transition -- A green policy history -- The major roadblocks -- Integrating impact with policy -- Bridging the gap -- References -- 12. Sustainable private equity and venture capital -- Playing field and state of play -- Players: private equity and venture capital in ESG -- Recommendations -- References -- 13. Islamic systems finance -- Definitions -- A model for systems finance at work: ecoenergy -- Systems finance: extending beyond carbon negativity -- Islamic finance as a subsidiary of systems finance -- Negative screening: compliant with systems finance, or not? -- The sustainability of the elements of the Islamic financial model -- Conclusion -- References -- 14. Forest resilience bonds: a case for investing in forest health -- The "fire borrowing" challenge -- The Forest Resilience Bond: a collective action platform to unlock the value of ecosystem services -- Guiding insights for the development process -- Note -- References -- 15. Financing the future: Free market solutions for an energy transition -- Short-termism -- Investors, capital markets, and market correction -- Oil and gas and renewable opportunity -- References -- PART III: Regional innovations -- 16. New England's winter chills -- Notes -- References -- 17. Innovation and impact from a Brazilian perspective -- The government: corruption, debts, bureaucracy and regulation -- Innovation in Brazil -- Notes -- 18. An exploration of landfill tax as a waste management strategy -- References. 19. Germany's simple solution to complex waste challenges -- Germany's bottle collection laws: a simple solution to a complex waste problem -- Conclusion: assessing barriers to waste-eliminating beverage container systems -- References -- 20. Infrastructure and the future of New York City -- Notes -- 21. African impact investing -- Background -- Social entrepreneurship in Africa -- The problems -- A framework -- Conclusion -- Bibliography -- PART IV: Technological innovation and the future -- 22. Smart microgrids -- Problems with the current grid -- A brief history of the grid -- Microgrids as a solution -- Conclusion -- Bibliography -- 23. Effective disruption: How blockchain technology can transform the energy sector -- What is blockchain technology? -- With a working idea of what blockchain is, where can it be applied? -- Finance and digital identities -- Supply chain -- Climate and energy -- How can blockchain transform the energy sector? -- Note -- References -- 24. Artificial intelligence as a solution to sustainability challenges -- Influences on environmental challenges -- Influences on social problems -- Influences on corporate strategy -- Responsible artificial intelligence -- Conclusion -- Bibliography -- 25. The potential for high-speed rail in the US -- Background and politics -- Why does the US need high-speed rail? Meeting the transportation needs of a growing urban population -- Current high-speed rail projects underway in the United States -- Environmental benefits of high-speed rail -- Economic benefits of high-speed rail -- Social benefits of high-speed rail -- Challenges and potential solutions to high-speed rail infrastructure in the United States -- The future of high-speed rail -- Conclusion -- Works cited -- 26. Shared solar -- What is shared solar? -- Why is shared solar helpful? -- First shared solar in Ellensburg. Shared solar potential -- Shared solar challenges -- Conclusion -- Notes -- 27. Renewable energy technologies -- A shifting paradigm -- Renewable energy sources and technologies -- Driver for renewable energy technologies -- References -- 28. The future of the electric car -- The history of the electric vehicle -- The modern electric vehicle -- Electric vehicle sales trends -- Electric vehicles as a luxury: the struggle to bring down the cost of the lithium-ion battery -- Battery investment opportunities -- Tesla Motors as a leader in the electric vehicle industry -- Barriers to the complete transition from gasoline-powered vehicles to EVs -- Solutions to mainstreaming electric vehicles -- The challenge of implementing electric vehicles in developing countries -- Conclusion: the uncertain future of the automobile industry -- References -- 29. Aquaponics in Canada's north: Food supply for remote communities -- Introduction -- Social issues and challenges -- Current solutions -- Northern market for aquaponics -- Overview of aquaponics -- Case study: northern Aboriginal community, Quebec, Canada -- Overview of a sample system -- Strategy and project cost -- Realization -- Conclusion -- References -- 30. Innovation in materials and energy -- Development of the technology -- Applications and implications -- Potential improvements -- The future of energy-generating floor tiles -- References -- 31. Geoengineering -- Carbon dioxide removal (CDR) -- Solar radiation management (SRM) -- Cloud seeding -- Surface albedo alteration -- Conclusion -- References -- Index. Cort, Todd https://cds.cern.ch/auth.py?r=EBLIB_P_5391291 ebook ebook EBL Business enterprises EBL Sustainable development-Economic aspects EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664276 SzGeCERN 20200503232027.0 9781138648739 electronic version electronic version 9781138648739 print version 9781317234500 electronic version electronic version oai:cds.cern.ch:2664276 cerncds:BOOK EBL 5389883 eng HD62.15 .J364 2018 658.4/013 James, Lowellyne Management systems and performance frameworks for sustainability a road map for sustainably managed enterprises Milton Routledge 2018 256 p Cover -- Title -- Copyright -- Dedication -- Contents -- List of illustrations -- Acknowledgements -- Glossary of abbreviated terms -- 1 Introduction -- 1.1 Incremental CSR -- 1.2 Peripheral CSR -- 1.3 Uneconomical CSR -- 2 Sustainability awards and quality management tools -- 2.1 Introduction -- 2.1.2 Sustainability management framework -- 2.2 Sustainability assurance -- 2.2.1 Analytical Hierarchy Process-Quality Function Deployment approach to supplier assessment -- 2.2.2 TQM Maturity sustainable performance Model -- 2.2.3 Assurance statements -- 2.2.4 Values-based service for sustainability -- 2.2.5 ISO 26000 - an international guide to social responsibility -- 2.2.6 BS 8900 standard - managing sustainable development of organisations -- 2.2.7 Environmental Management Systems -- 2.2.8 European Union Management Audit Scheme -- 2.2.9 Ecological project for integrated environmental technology - ECOPROFIT® -- 2.2.10 ISO 14001:2015 environmental management systems standard -- 2.2.11 Eco-labelling -- 2.2.12 Quality frameworks for sustainable information technology, artificial intelligence and robotics -- 2.2.13 Social sustainability standards -- 2.3 Sustainability reporting -- 2.3.1 Global Reporting Initiative -- 2.3.2 Integrated reporting -- 2.4 Sustainability improvement -- 2.4.1 Continual improvement for social responsibility -- 2.4.1.1 Plan, Do, Check and Act -- 2.4.1.2 Theory of Innovative Problem Solving -- 2.4.1.3 Kaizen -- 2.4.1.4 Lean -- 2.4.1.5 Six Sigma -- 2.4.1.6 Define, Measure Analyse, Improve and Control -- 2.4.1.7 Theory of Constraints -- 2.4.1.8 Social Responsibility Failure Modes Effects Analysis -- 2.4.1.9 Kaizen events -- 2.5 Cost of quality -- 2.6 Sustainability footprints -- 2.7 Sustainable Strategic Growth Model - a tool for embedding quality and strategy -- 2.8 Sustainability performance framework. 3 Sustainability and CSR leadership -- 3.1 Introduction -- 3.1.1 Sustainable leadership characteristics -- 3.2 Honeybee Leadership -- 3.3 Complexity Leadership -- 3.4 Collaborative Leadership -- 3.5 Collaborative Sustainability Development Framework -- 3.6 Values-based service leadership -- 3.7 Continuous collective learning process for CSR -- 3.8 Vital Smarts Model -- 3.9 Talent management benefits of sustainable development -- 3.10 Communicating sustainability -- 3.11 Caring leadership and the caring organisation -- 3.12 Regenerative Leadership -- 4 Sustainable entrepreneurship and sustainable intrapreneurship -- 4.1 Introduction -- 4.2 Sustainable entrepreneurship value creation -- 4.3 Social entrepreneurship -- 4.4 Revaluing capital -- 4.5 A process approach to sustainable entrepreneurship -- 5 Capital Cooling: a green approach to quality -- 5.1 Introduction -- 5.1.1 Context -- 5.2 Sustainability assurance -- 5.3 Sustainability footprints -- 5.4 Sustainability reporting -- 5.4.1 Sustainability report methodology -- 5.5 Sustainability improvement -- 5.6 Summary -- 6 Underwood Consultants: sustainable agribusiness -- 6.1 Introduction -- 6.1.1 Context -- 6.2 Sustainability reporting -- 6.3 Sustainability footprints -- 6.4 Sustainability improvement -- 6.5 Summary -- 7 Dalbeattie Parish Church: faith-driven quality and sustainability management -- 7.1 Introduction -- 7.1.1 Context -- 7.2 Sustainability reporting -- 7.3 Sustainability footprints -- 7.4 Sustainability improvement -- 7.5 Summary -- 8 Conclusion -- Bibliography -- Index. https://cds.cern.ch/auth.py?r=EBLIB_P_5389883 ebook ebook EBL Small business-Environmental aspects EBL Sustainable development EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664275 SzGeCERN 20200610213338.0 9781351430043 electronic version electronic version 9781566702959 electronic version electronic version 9781566702959 print version oai:cds.cern.ch:2664275 cerncds:BOOK EBL 5389427 eng TS155.7 .W45 1998 658.4/08 Welch, Thomas Elliott Moving beyond environmental compliance a handbook for integrating pollution prevention with ISO 14000 Boca Raton, FL Chapman and Hall/CRC 1997 257 p Cover -- Title Page -- Copyright Page -- Dedication -- Preface -- List of Figures -- Table of Contens -- Chapter 1: An Idea Whose Time Has Come -- A Brief History of Environmental Regulation -- The Big Five -- Clean Air Act -- Resource Conservation and Recovery Act -- Safe Drinking Water Act -- Toxic Substances Control Act -- Clean Water Act -- The Compliance-Based EMS -- Understanding the Total Cost of Environmental Compliance -- Avoiding the Hassles of Environmental Regulations -- What Is Pollution Prevention? -- Environmental Management and Total Quality -- ISO 14000 History -- ISO 14000 Overview -- Closing Thoughts -- References and Notes -- Chapter 2: An Overview of ISO 14000 and Other Environmental Standards -- Development of Standards and Codes -- Environmental Management Systems -- Life Cycle Management -- Commitment to Protection and Continuous Improvement -- Involving All Stakeholders -- Various Codes -- Total Quality Environmental Management from the Global Environmental Management Institute -- Environmental Self-Assessment -- ASTM EMS Standards Model -- Coalition for Environmentally Responsible Economies' Principles -- British Standards Institute, "Specifications for Environmental Management Systems" -- Canadian Standards Association's CSA-2750, "Draft Guidelines for a Voluntary Environmental Management System" -- European Union's Eco-Management and Audit Scheme -- EPA's Code of Environmental Management Principles (CEMP) -- ISO 14000 -- Environmental Management Systems -- Environmental Performance Evaluation -- Environmental Auditing -- Life-Cycle Assessment -- Environmental Labeling -- Environmental Aspects in Product Standards -- Registration and Certification -- The Basic Components of the ISO 14001 EMS -- Environmental Policy -- Planning -- Implementation and Operation -- Measuring and Corrective Action -- Management Review. Relating EMS to Fundamentals of Quality Systems -- ISO 14000 and the Baldrige Criteria -- ISO 9000 and ISO 14000 -- Closing Thoughts -- References and Notes -- Chapter 3: Leadership Implementation of the EMS -- The Environmental Steering Group -- Establishing the Steering Group -- The EMS and P2 Manager -- Developing the Environmental Policy -- Strategic Environmental Planning -- Develop Your Plans -- Establishing Your KFAs, Goals, and Objectives -- Implementing Your EMS Using Cross-Functional Teams -- Team Charter -- Team Membership -- Team Leader or Coordinator -- Team Sponsor or Advisor -- Facilitator -- Products and Services -- Measuring and Evaluation Progress -- Continually Improve -- Closing Thoughts -- References and Notes -- Chapter 4: An Overview of The Pollution Prevention Cycle -- The P2 Conceptual Model -- The P2 Cycle -- Step 1. Implementing the Journey- Policy and Objectives -- Step 2. Vulnerability Assessments -- Step 3. The Baseline Assessment -- Step 4. Opportunity Assessments (OAs) -- Step 5. Development of the Implementation Strategy -- Step 6. Implementing the Strategy -- Step 7. Measuring the Results -- Step 8. Turning the Wheel: Standardize the Solution -- Closing Thoughts -- References and Notes -- Chapter 5: The Vulnerability Analysis -- Screening Waste Streams Using Impact to Human Health and the Environment -- Screening Waste Streams Using Waste Stream Prioritization -- Screening Using Organizational Goals and Objectives -- Screening Using Probability of Occurrence -- Screening Using the Prioritization Matrix -- Tools for Screening Using Existing Data -- The Cause-Effect Diagram -- The Pareto Chart -- Pie Charts -- Bar Charts -- Tools for Generating Ideas -- Brainstorming -- The "Five Whys" -- Mental Imaging -- Thematic Content Analysis -- Closing Thoughts -- References and Notes -- Chapter 6: The Baseline Assessment. Why Bother Conducting a Baseline Assessment? -- Two Approaches -- Focus on the Input - The Materials and the Processes -- The Waste Generation Approach -- The Combined Approach -- The Steps to Conducting an Assessment -- Step 1. Management Support -- Step 2. The Baseline Team -- Step 3. Gathering Waste-Generation Data -- Step 4. Production Quantities and Generation Index -- Step 5. Understanding the Process -- Step 6. Identifying the Toxic Substances -- Step 7. Summarizing -- Step 8. Conducting the Site Visit -- Step 9. Analyzing and Presenting the Data -- Closing Thoughts -- References and Notes -- Chapter 7: The Opportunity Assessment -- OA Step 1. Selecting and Organizing the Team -- OA Step 2. Screen and Rank Order of the Waste Streams to Determine Which to Evaluate Further -- OA Step 3. Understanding the Process -- The Input-Output Diagram -- The Process Flow Chart -- Mass Balance Diagrams -- OA Step 4. Site Visits and Detailed Assessment of the Ranked Processes -- Planning Site Visits -- Site Visit Questions -- OA Step 5. Generating Potential Process Changes -- OA Step 6. Screening the Potential Opportunities -- OA Step 7. The Feasibility Analysis -- Technical Evaluation -- Economic Evaluation -- Environmental Impacts of the P2 Option -- Source Reduction Considerations -- OA Step 8. Selecting the Option -- Closing Thoughts -- References and Notes -- Chapter 8: Implementing Your Opportunities -- CIP Step 5. The Implementation Plan -- The Report Layout -- The Formal Presentation -- Final Documentation -- CIP Step 6. Implementing the Plan -- CIP Step 7. Measuring the Results -- Tracking Your OA Implementation Status -- CIP Step 8. Standardizing the Solution -- Assign Accountability for Wastes -- Tracking and Reporting -- Quarterly Program Review -- Training -- Increase Internal Communication -- Closing Thoughts -- References and Notes. Chapter 9: Your EMS Manual and P2 Plan -- EMS Strategic Planning -- The Policy Statement -- Key Focus Areas (KFA) -- Goals -- Objectives -- Strategies -- Measuring Success -- Some Examp1es -- KFA I. Hazardous Waste Reduction -- KFA 2. Reduce Air Pollution -- KFA 3. Eliminate Unnecessary Storm Water Contamination -- KFA 4. Solid Waste Reduction -- Closing Thoughts -- References and Notes -- Chapter 10: Checking Your Environmental Pulse -- A Brief Overview of Compliance Auditing -- Environmental Performance Evaluations -- Developing Your Environmental Performance Measures -- Audits under ISO 14000 -- ISO 14010 -- ISO 14011/1 -- ISO 14012 -- Auditing under EMAS -- Executing the Audit -- Determining the Audit Scope -- Selecting the Audit Team -- Preparing for the Audit -- Conducting the Audit -- Reviewing Your Documentation -- Conducting a Preliminary ~ssessment -- Site Assessment -- Closing Meeting -- Audit Reports and Records -- Taking Corrective Action -- Certification of Your EMS -- Closing Thoughts -- Self-Assessment Questions -- Environmental Policy -- Planning -- Environmental Aspects -- Legal Requirements -- Objectives and Targets -- Environmental Management Program -- Implementation and Operation -- Structure and Responsibility -- Training, Awareness, and Competence -- Communication -- EMS Documentation -- Document Control -- Operational Control -- Emergency Preparedness and Response -- Checking and Corrective Action -- Monitoring and Measurement -- Nonconformance and Preventive Action -- Records -- Environmental Management System Audit -- Management Review -- Pollution Prevention -- References and Notes -- Chapter 11: The Pre-Visit Questionnaire -- Questionnaire Introduction -- Questionnaire -- Facilities Information -- Labor Requirements -- Equipment and Material Requirements. -- Hazardous Waste Generation -- Solid Waste Questions. Corrosion Control and Painting -- Service Station and Vehicle Maintenance -- Vehicle Emissions -- Fire Departments -- Hospitals and Health Facilities -- Fuel Farms -- Boilers/Furnace!Heating -- Chillers/Air Conditioning -- Electrical -- Facility Demolition and Maintenance -- Entomology and Grounds Keeping -- Air Emissions -- Other Pollution Prevention Information -- Reference and Notes -- Chapter 12: Continually Improving Your EMS -- COPIS -- COPIS Step 1. Determine the Key Products and Services You Provide -- CO PIS Step 2. Identify Your Customers -- COPIS Step 3. Identify Your Customer Requirements -- CO PIS Step 4. Identify Your Customer Satisfaction Indicators , -- CO PIS Step 5. Your Value-Added Activity -- COPIS Step 6. Products and Services You Need to Do Your Value-Added Activity -- COPIS Step 7. Suppliers -- COPIS Step 8 and 9. Key Supplier Performance Indicators -- Time Out": Piece Together What You Have -- CO PIS Step 10. Measurements and Process Improvement -- Putting COPIS into Action -- COPIS and EMS Planning -- Benchmarking for Process Improvement -- Getting Started -- Data Gathering -- Plan the Improvement -- Implement the lmprovement -- Follow-Up -- Where Do I Look for More Information? -- Pollution Prevention -- Hazardous Material Information -- ISO 14000 References -- Other Related Topics and Miscellaneous Addresses -- Design for Environment Information -- Recycling Information -- State Pollution Prevention Programs -- Regulatory and Policy Information -- Trade and Professional Associations -- Pollution Prevention Software -- Closing Thoughts -- References and Notes -- Glossary of Terms -- lndex. https://cds.cern.ch/auth.py?r=EBLIB_P_5389427 ebook ebook EBL ISO 14000 Series Standards-Handbooks, manuals, etc EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 21 PUBLIC BOOK DELETED 2664264 SzGeCERN 20200503232027.0 9780824785239 electronic version electronic version 9780824785239 print version 9781498741873 electronic version electronic version oai:cds.cern.ch:2664264 cerncds:BOOK EBL 5379257 eng TD194 .M37 1991 658.4/08 Marguglio, B Environmental management systems Boca Raton, FL Chapman and Hall/CRC 1991 206 p Cover -- Half Title -- Title Page -- Copyright Page -- Preface -- Contents -- 1 Environmental Management Tenets -- THE TENETS -- THE LAW -- TOTAL ENVIRONMENTAL CONTROL -- ENVIRONMENTAL "MATURITY PROFILE -- THE MANAGEMENT SYSTEM HIERARCHY -- 2 Environmental Policies -- INTRODUCTION -- POLICIES -- TYPICAL ENVIRONMENTAL DEPARTMENT RESPONSIBILITIES AND AUTHORITIES -- 3 Environmental Requirements Documents -- INTRODUCTION -- FACTORS TO BE ADDRESSED IN ENVIRONMENTAL REQUIREMENTS DOCUMENTS -- EXAMPLES OF REQUIREMENTS DOCUMENTS -- Appendix 3.1 -- Appendix 3.2 -- Appendix 3.3 -- 4 Environmental Considerationsin Facility Site Selection -- INTRODUCTION -- PHASE I: IDENTIFYING POTENTIAL SITES -- PHASE II: IDENTIFYING CANDIDATE SITES -- PHASE III: IDENTIFYING POTENTIALLY PERMITTABLE AND LICENSABLE SITES -- FURTHER CONSIDERATIONS -- LEASING COMPANY LAND -- Appendix 4.1 -- 5 Environmental Considerations During the Design Engineering Process -- INTRODUCTION -- DESIGN REQUIREMENTS -- DESIGN REVIEW -- 6 Permit, License, and Approval Applications -- INTRODUCTION -- ACCOUNTING AND DEFINITION -- APPLICATION ORIGINATION -- Appendix 6.1 -- 7 Property Tax Exemptions for Environmental Equipment -- INTRODUCTION -- DEFINING THE EQUIPMENT -- COST ACCOUNTING -- APPLICATION FOR EXEMPTION -- 8 Project Managementof Environmental Studies -- INTRODUCTION -- THE PLAN -- Study Plan Objective -- Scope Statement -- Statement of Requirements -- REQUEST FOR PROPOSAL -- THE PROJECT MANAGER'S RESPONSIBILITY -- STUDY REPORT -- 9 Environmental Agency Inspections -- INTRODUCTION -- FACTORS TO BE CONSIDERED -- 10 Reporting to Environmental Regulatory Agencies -- INTRODUCTION -- FACTORS RELATING TO NONCOMPLIANCE -- REPORTING SIGNIFICANT EVENTS OTHER THAN NONCOMPLIANCES -- 11 Environmental Audit -- INTRODUCTION -- SCOPE OF THE ENVIRONMENTAL AUDIT -- SELECTING AND SCHEDULING AUDIT SUBJECTS. PLANNING THE AUDIT -- PERFORMING THE AUDIT -- AUDIT REPORTING -- ENVIRONMENTAL SELF-AUDIT -- 12 Environmental Noncompliance Reporting and Corrective Action -- INTRODUCTION -- ENVIRONMENTAL NONCOMPLIANCE -- IDENTIFYING, RECORDING, AND COMMUNICATING ENVIRONMENTAL NONCOMPLIANCE -- THE CONDITION AT HAND -- ROOT CAUSE CONDITION -- COMMON MISTAKES IN THE PURSUIT OF ROOT CAUSE CORRECTIVE ACTION -- 13 Contracting for Waste Management Services -- INTRODUCTION -- THE NEED TO EVALUATE -- PROCUREMENT PACKAGE REQUIREMENTS -- PRE-BID EVALUATION -- PRE-AWARD EVALUATION -- Appendix 13.1 -- 14 Maintenance of Environmental Equipment -- INTRODUCTION -- DEFINITIONS -- MAINTENANCE SYSTEM CONSIDERATIONS -- CALIBRATION -- ENVIRONMENTAL DEPARTMENT RESPONSIBILITIES -- Appendix 14.1 -- 15 Environmental Education and Training -- INTRODUCTION -- MANAGEMENT FOR ENVIRONMENTAL EDUCATION AND TRAINING -- 16 Environmental Awareness and Emergency Response -- INTRODUCTION -- PLAN-PLANT EMERGENCY ORGANIZATION -- PLAN-FACILITY RISK EVALUATION -- PLAN-AREA RISK EVALUATION -- PLAN-SPECIAL EMERGENCY PROCEDURES -- PLAN-EMERGENCY OPERATING PROCEDURES -- PLAN-EMERGENCY COMMUNICATION PROCEDURES -- PLAN-RETURN TO NORMAL OPERATIONS -- PLAN-TESTING EMERGENCY EQUIPMENT -- PLAN-TRAINING -- PLAN-EMERGENCY PREPAREDNESS DRILLS -- PREPARATION AND MAINTENANCE OF THE PLAN -- Index. https://cds.cern.ch/auth.py?r=EBLIB_P_5379257 ebook ebook EBL Environmental management EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 21 PUBLIC BOOK DELETED 2664262 SzGeCERN 20200503232027.0 9780824797157 electronic version electronic version 9780824797157 print version 9781482273519 electronic version electronic version oai:cds.cern.ch:2664262 cerncds:BOOK EBL 5378619 eng TA177.4 .E36 1996 658.4/04 Bent, James Effective project management through applied cost and schedule control Boca Raton, FL Chapman and Hall/CRC 1996 477 p Cost engineering 26 Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface: A Search for Project Excellence -- Introduction and Mission Statement -- PART 1 THE RELATIONSHIPS AND IMPACT OF PROJECT SKILLS -- 1. Benchmarking-The Technical Core of Total Quality Management -- I. Introduction -- II. An Overview of Total Quality Management -- III. The Benchmarking Process -- IV. Summary -- 2. The Impact of Personnel Skills on Company Culture and Bottom Line -- I. Introduction -- II. Matrix Theory -- III. Typical Matrix Interface Conflicts -- IV. Rotational Project Assignments-Project Control Manager -- V. The Project Charter-Part of the Solution -- VI. The Impact of Personnel Skills-A Company Study -- VII. The Impact of Personnel Skills-The Construction Industry Institute Study -- VIII. Summary -- PART 2 COST AND SCHEDULE BASELINES -- 3. Estimating Keys-Establishing a Realistic Cost Baseline -- I. Introduction -- II. Proration Estimates -- III. Cost Capacity Curves (Overall) -- IV. Equipment Ratio (Curves) -- V. Quantity/Unit Cost or Detailed Estimates -- VI. Fudging the Detailed Estimate -- VII. Design Constraint on Estimating Quality -- VIII. Project Management Estimating Responsibility -- IX. Scope Review -- X. Project Conditions Review -- XI. Reviewing Significant Overall Relationships -- XII. Major or Engineered Equipment and Material -- XIII. Bulk Materials-Major Considerations -- XIV. Direct Construction Labor -- XV. Construction Indirect Costs -- XVI. Conceptual Estimating-Engineering -- XVII. Contingency-Estimating Allowances -- XVIII. Risk Analysis -- XIX. Escalation -- XX. Currency Exchange Conversion -- XXI. Construction Labor Productivity -- XXII. Pre-Estimating Survey and Checklist -- XXIII. Statistical/Historical DATA -- XXIV. Estimating the Case of Used Versus New Equipment. XXV. Location Cost Factors-International (from a U.S. Cost Base) -- XXVI. Summary-Basic Scope Appreciation -- 4. Scheduling Keys-Establishing a Realistic Schedule Baseline (Typical and Standard Schedules) -- I. Introduction -- II. Major CPM Scheduling Objectives -- III. Typical Scheduling Levels -- IV. Standard-Typical Schedules -- V. Overall Breakdown-Engineering/Procurement/ Construction for a Large Project -- VI. Overall Breakdown for a Small Project-Straight Through -- VII. Engineering/Procurement Cycle for a Large Project- Standard -- VIII. Typical Phase 1 Schedule -- IX. The Fast-Track Program and Trapezoidal Technique -- X. Project Duration Chart -- XI. Construction Complexity and Labor Density -- XII. Craft Mix By Account -- 5. Value Management -- I Introduction -- II Value Management Study Types -- III Types of Value -- IV Lifecycle Costs -- V Formal Value Engineering -- VI Formal Value Engineering Phases -- VII Value Management After Design Begins and During Construction -- VIII Value Engineering to Cost -- IX Summary -- X Value Engineering Bibliography -- XI Constructability Bibliography -- 6. Economic Evaluation in the Process Industries -- I. Purpose of an Economic Evaluation -- II. Methods of Evaluation -- III. Discounted Cash Flow Methodology -- IV. A Case Study: Construct or Contract? -- V. Reliability of the DCF Methodology for Economic Evaluation -- VI. Selling Price of the Product -- VII. Nonfinancial Factors -- VIII. Summary -- 7. Keys to Controlling and Reducing Environmental Costs -- I. Objective -- II. Players in the Environmental Arena -- III. Creating an Environmental Remediation Strategy -- IV. Estimating the Cost of Remediation -- V. Controlling Cost in Remediation -- VI. Nomenclature -- PART 3 PROJECT CONTROL -- 8. Contracting-Front-End Risks, Key Contract Administration, and Cost-Schedule Considerations. I. General Objectives -- II. What is a Contract? -- III. Why Have a Contract? -- IV. Parties to the Contract -- V. Contract Responsibility -- VI. Assessing Risk and Cost Liabilities -- VII. Project Execution Strategy -- VIII. Contracting Strategy -- IX. Contracting Arrangements -- X. Contractual and Legal Review (for Cost Implications) -- XI. Cost Aspects of a Lump-Sum Agreement (EPC Contract) -- XII. Payment of the Fixed/Turnkey Price or the Fixed Fee (of a Reimbursable Contract) -- XIII. Biased Bidding -- 9. Cost and Schedule Trend Analysis-Forecasting of Baselines -- I. Developing Real Cost Consciousness-No Small Task -- II. Business Decision Making Versus Technical Decision Making -- III. Timely Cost Accounting/Reporting -- IV. Effective Trending System -- V. Accurate Cost and Schedule Forecasts -- VI. Key Project Control Techniques-Overall Project -- VII. Key Project Control Techniques for Design Engineering -- VIII. Key Project Control Techniques for Procurement -- IX. Key Project Control Techniques for Construction-Direct Hire -- X. Key Project Control Techniques for Construction- Subcontract -- XI. Summary -- 10. Change Control and Risk Analysis -- I. Introduction -- II. Increasing the Cost Baseline -- III. Increasing the Schedule Baseline -- IV. Scope Increases -- V. Scope Reduction -- VI. Management Financial Reserve (Dollars) -- VII. Risk Analysis (Principles, Procedures, and Programs) -- VIII. Risk Analysis of an Estimate -- 11. Range Estimating -- I. The Truth About Range Estimating -- II. Risk, Opportunity, and Uncertainty -- III. Numberclature -- IV. Pareto's Law -- V. Critical Elements -- VI. Range Estimating Inputs -- VII. Simulation -- VIII. Five Key Questions -- IX. Range Estimating Advantage -- X. Bibliography -- 12. Contracting-Claims and Extras -- I. The Reality of Change -- II. Claimsmanship -- III. Records-Documentation. IV. Knowledge of Contract Law Fundamentals -- V. Understanding/Avoiding Breach of Contract Conditions -- VI. Claims Mitigation and Reduction-Essential Elements -- 13. Managing Small, Shutdown, Retrofit, or Outage Projects -- I. Introduction -- II. The General Problem (Perception and Organization) -- III. Small Does Not Mean Easy -- IV. The Organizational Answer (Partly) -- V. Project Duration -- VI. Physical Measurement Systems -- VII. Jobhour Control -- VIII. Personnel Skills and Team Building -- IX. A Standard Project Management/Control Program -- X. The 80:20 Rule -- XI. Quality Estimating Program -- XII. Project Control Plan (Maximum) -- XIII. Subcontract Control -- XIV. Project Control Plan (Intermediate) -- XV. Project Control Plan (Minimum) -- XVI. Major Shutdowns, Retrofits, and Outage Projects -- XVII. Summary -- 14. Project Closeout-Lessons Learned and Historical Data -- I. Introduction -- II. Project Objectives Achieved -- III. Personnel Skills of Key Players -- IV. Project Organization-Project Control -- V. Team Building -- VI. Techniques and Procedures -- VII. Project Cost-Consciousness-Trending -- VIII. Lessons Learned -- IX. Failures -- X. Recommendations for Change -- XI. Historical Data -- PART 4 PROJECT MANAGEMENT KEYS AND INTERFACE -- 15. Project Management Fundamentals-Key Essentials -- I. Introduction -- II. Definition of a Project -- III. Project Management Function -- 16. Managing the Feasibility Study (Preproject Planning) -- I. Introduction -- II. Typical Feasibility Project Approach -- III. Overall Objective -- IV. Typical Problems -- V. Project Manager as Communicator/Motivator -- VI. Operations Interface and Scope Development -- VII. Owner Authority and Approval -- VIII. Owner Project Discipline -- IX. Governmental and Local Authority Permits -- X. Company Service Divisions-Work Initiation -- XI. Statement of Requirements. XII. Feasibility Study Costs -- XIII. Key Deliverables -- 17. Front-End Planning and Project Organization -- I. Introduction -- II. Project Organization -- III. Establishing Objectives -- IV. Scope Definition Control -- V. Communications-Information Utilization -- VI. Constructability Planning -- VII. Summation -- 18. Managing Engineering-Project Control Keys/Interfaces -- I. Introduction -- II. Early Engineering Phases -- III. Proper Technology Development -- IV. Detailed Engineering/Procurement -- V. Engineering Design/Project Management Interface -- VI. Efficient and Cost-Effective Management of Design -- VII. Correct Balance Between Technical and Procurement Program Considerations -- VIII. Engineering-Procurement Contractor/Project Management -- IX. Effective Contractor Engineering-Procurement Interface Performance -- X. Typical Design Package for Construction Work Packages -- XI. Full Sanction and Class II Cost Estimate -- XII. Technical Approvals and Handling Procedures -- 19. Managing Procurement-Project Control Keys/Interfaces -- I. Introduction -- II. Policy-Value and Price Negotiating -- III. Procurement Responsibility -- IV. Materials Procurement and Control Essentials -- V. Procurement Process -- VI. Equipment Spares and Operating Documentation -- VII. Surplus Materials -- 20 Managing Construction-Project Control Keys/Interfaces -- I. Cost-Effective Business Management of Construction -- II. Construction Preplanning -- III. Owner/Contractor Coordination -- IV. Construction Manager/Project Manager Interface -- V. Construction Manager/Operating Staff Interface -- VI. Construction Manager/Regulating Authorities Interface -- VII. Effective Overall Site Coordination and Safety -- VIII. Industrial Relations -- IX. Efficient Management of Site and Craft Labor -- X. Quality Control and Documentation. XI. Precommissioning-Modules and Pre-Assemblies. Humphreys, Kenneth K https://cds.cern.ch/auth.py?r=EBLIB_P_5378619 ebook ebook EBL Cost control EBL Engineering economy EBL Production scheduling EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 21 PUBLIC BOOK DELETED 2664259 SzGeCERN 20210421202911.0 9788793609600 electronic version electronic version 9788793609617 electronic version electronic version 9788793609617 print version oai:cds.cern.ch:2664259 cerncds:BOOK EBL 5376756 eng HD60 .C677 2018 658.408 Machado, Carolina Corporate social responsibility in management and engineering Aalborg River Publishers 2018 260 p ebook River Publishers series in management sciences and engineering Front Cover -- Half Title pages -- RIVER PUBLISHERS SERIES IN MANAGEMENT SCIENCES AND ENGINEERING -- Title Page - Corporate Social Responsibility in Management and Engineering -- Copeyright page -- Contents -- Preface -- List of Contributors -- List of Figures -- List of Tables -- Chapter 1 - The Boundaries of Corporate Social Responsibility: A Managerial Perspective -- 1.1 Introduction -- 1.2 The Singularity of Corporations -- 1.2.1 Unique Attributes of Corporations -- 1.2.2 Fictitious Entity or Contractual Nexus? -- 1.3 Dualisms and Dilemmas -- 1.3.1 Recognizing Dualisms and Responding to Dilemmas -- 1.3.2 Reframing Dualisms, Avoiding Dilemmas, and Negotiating Impasses -- 1.3.3 Internal Stakeholders and Micro-level CSR Dilemmas -- 1.4 Triple Bottom Lines and Trilemmas -- 1.4.1 Triple Bottom Line Perspectives -- 1.4.2 Corporate Trilemmas and Sensemaking -- 1.5 The Boundaries of Corporate Social Responsibility -- 1.5.1 Motivations for Corporate Social Responsibility -- 1.5.2 Parallel Universes and Porous Boundaries -- 1.6 Conclusion -- References -- Chapter 2 - Future-Focused Entrepreneurship Assessment (FFEA) -- 2.1 Motivations for CSR -- 2.1.1 Maslow for CSR -- 2.1.2 Future-Proof Resilience of Companies and Society -- 2.2 (Not) Ready for the Future -- 2.2.1 The Eastman Kodak Case -- 2.2.2 The Xerox Case -- 2.2.3 The Music Industry Case -- 2.3 The Four Perspectives of Future-Focused Entrepreneurship Assessment -- 2.3.1 Traveling toward the Future -- 2.3.2 Company Perspectives -- 2.3.3 Cumulative Perspectives -- 2.4 The FFEA System -- 2.4.1 The Five Modules of Future-Focused Entrepreneurship Assessment -- 2.4.2 Six Topics to Each Module -- 2.4.3 The Royal Dutch Shell Case -- 2.4.4 Details of the FFEA System -- 2.5 Application of FFEA -- 2.5.1 Assessment Principles -- 2.5.2 The FFEA Assessment -- 2.5.2.1 Individual scoring. 2.5.2.2 Consensus meeting -- 2.5.3 The Results, or: What You Get -- 2.5.4 MSPOE: From Mission to Strategy to Policy to Operations to Evaluation to Mission -- 2.6 FFEA Case Studies -- 2.6.1 The Tilburg Mentaal Case -- 2.6.2 The Inventive Case -- 2.7 The FFEA Extensions -- 2.7.1 An Extension for Topic S1: The CSR Motivation Mix Assessment -- 2.7.2 An Extension for Topic I4: STELES, The Self-Test of Leadership Styles -- 2.7.3 An Extension for Topics P4 and O4: RESFIA+D, or the Seven Competences -- 2.7.4 An Extension for Topic I6: The FFEA Certificate for Future-Proof Resilience -- 2.8 Origins and Theoretical Backgrounds of FFEA -- 2.8.1 Management Models -- 2.8.2 Quality Management -- Environmental Management -- CSR -- 2.8.3 AISHE: Assessment and Certification of Sustainability in Higher Education -- 2.9 Conclusion -- References -- Chapter 3 - Corporate Social Responsibility: The Case of East Timor Multinationals -- 3.1 Introduction -- 3.2 Theoretical Framework: Corporate Social Responsibility Theories -- 3.2.1 The Stakeholder Theory -- 3.2.2 The Institutional Theory -- 3.2.3 The Theory of Legitimacy -- 3.2.4 Multiple Approaches -- 3.3 Methodology -- 3.3.1 Procedure and Description of the Data Collection Instrument -- 3.3.2 Sample Description -- 3.4 Results -- 3.4.1 Identifying the Stakeholders -- 3.4.2 Balancing Moral and Economic Motivations in CSR -- 3.4.3 Pursuing Legitimacy and the License to Operate -- 3.4.4 Adjusting Parent-company Policies to Local Needs -- 3.5 Conclusion -- References -- Chapter 4 - Gender Diversity and Equality in the Boardroom: Impacts of Gender Quota Implementation in Portugal -- 4.1 Introduction -- 4.2 Theoretical Framework -- 4.2.1 Gender Quotas in the Boardroom -- 4.2.1.1 Definition -- 4.2.1.2 Quotas: Controversies and dilemmas -- 4.2.1.3 Impacts -- 4.3 Empirical Study -- 4.3.1 Methodology -- 4.3.2 Portuguese Context. 4.3.3 Legislative Framework in Portugal -- 4.3.4 Analysis of the Interview Results -- 4.3.4.1 Perceptions of gender equality -- 4.3.4.2 Perceptions of gender diversity impacts -- 4.3.4.3 Views on quotas -- 4.3.5 Discussion of Results -- 4.4 Conclusion -- References -- Appendixes -- Chapter 5 - Reconstructing CSR in the Construction Industry -- 5.1 Introduction -- 5.2 Theoretical Underpinnings -- 5.2.1 Corporate Social Responsibility (CSR) -- 5.2.2 History and Nature of Corporate Social Responsibility in Ghana -- 5.2.3 Factors that Drive CSR in Ghana -- 5.2.4 Sectorial Analysis of CSR Activities in Ghana -- 5.2.5 Institutional and Regulatory Framework of CSR in Ghana -- 5.3 Methodology -- 5.4 Results and Discussion -- 5.4.1 Respondent Demographics (Section 1 of the Instrument) -- 5.4.2 Perspectives on CSR among Construction Workers (Section 2 of the Instrument) -- 5.4.2.1 Knowledge and conceptualization of CSR -- 5.4.2.2 CSR direction of construction firms in Ghana -- 5.4.2.3 Drivers of CSR in the construction industry -- 5.4.2.4 Nature of firm's operation -- 5.4.2.5 Environmental sustainability factors -- 5.4.2.6 Stakeholder and legal and institutional pressures -- 5.4.2.7 Humanitarian and Human Rights reasons -- 5.4.2.8 Management discretion -- 5.4.3 Profession's Influence on Firms' CSR Practice (Section 3 of the Instrument) -- 5.4.3.1 The influence of profession on respondents' conceptualization of CSR -- 5.4.3.2 The influence of respondents' profession on firms' direction of CSR -- 5.5 Implication and Conclusion -- References -- Chapter 6 - Work-Family Conciliation Policies: Answering to Corporate Social Responsibility - A Case Study -- 6.1 Introduction -- 6.2 Conciliatory Work-Family Organizational Policies -- 6.3 Methodological Options -- 6.4 Case Study: Analysis and Discussion of Results -- 6.4.1 Company Characterization. 6.4.2 Human Resource Characterization -- 6.4.3 Human Resource Management Practices -- 6.4.4 Diversity Management -- 6.4.5 Organizational Policies for Work-Family Conciliation -- 6.5 Final Considerations -- References -- Index -- About the Editors -- Back Cover. EBL201902 Information Transfer and Management SzGeCERN EBL Engineering ethics EBL Industrial management-Moral and ethical aspects BOOK Davim, João Paulo https://cds.cern.ch/auth.py?r=EBLIB_P_5376756 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2664259 BOOK MIGRATED 2664254 SzGeCERN 20200503232027.0 9781466505261 electronic version electronic version 9781466505261 print version 9781482282382 electronic version electronic version oai:cds.cern.ch:2664254 cerncds:BOOK EBL 5358222 eng TS183 .J43 2016 658.4/083 Jha, Nand K Green design and manufacturing for sustainability Boca Raton, FL Chapman and Hall/CRC 2015 817 p Front Cover -- Contents -- Preface -- Acknowledgments -- Author -- Chapter 1 - Introduction to Sustainability, Principles, and Its Effect on Design and Manufacturing -- Section I - Industrial Ecology and Sustainability -- Chapter 2 - Industrial Ecology and Sustainability -- Chapter 3 - Economics of Sustainable Engineering -- Chapter 4 - Analytical Techniques for Sustainability Analysis -- Section II - Green Design and EOL Treatment -- Chapter 5 - Principles of Green Design -- Chapter 6 - End-of-Life Treatment and Environmental Impact Scenario -- Section III - Green Design of Mechanical Components -- Chapter 7 - Spring Design for Sustainability -- Chapter 8 - Environmentally Conscious Design of Gears -- Chapter 9 - Shaft Design -- Chapter 10 - Bearings and Green Engineering -- Chapter 11 - Fastener Design -- Section IV - Design for Environment (DfE) -- Chapter 12 - Design for Environment -- Chapter 13 - Snap-Fit Design -- Chapter 14 - Finite Element Analysis (FEA) and Computer-Aided Design (CAD) -- Chapter 15 - Computer-Aided Design Examples -- Section V - Environmentally Benign Manufacturing -- Chapter 16 - Introduction to Environmentally Benign Manufacturing -- Chapter 17 - Turning Operation -- Chapter 18 - Drilling Operations -- Chapter 19 - Milling -- Chapter 20 - Grinding -- Chapter 21 - Cutting Tools and Sustainability Considerations -- Chapter 22 - Foundry Processes -- Chapter 23 - Metal-Forming Processes -- Section VI - Regulations for Sustainable Manufacturing -- Chapter 24 - International Regulations for Green Design and Manufacturing -- Back Cover. https://cds.cern.ch/auth.py?r=EBLIB_P_5358222 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664251 SzGeCERN 20210421202911.0 9781108427111 electronic version electronic version 9781108427111 print version 9781108696432 electronic version electronic version oai:cds.cern.ch:2664251 cerncds:BOOK EBL 5355532 eng HD60 .C743 2018 658.408 Sjåfjell, Beate Creating corporate sustainability gender as an agent for change Cambridge Cambridge University Press 2018 360 p ebook Cover -- Half-title -- Title page -- Copyright information -- Dedication -- Table of contents -- List of Contributors -- Foreword -- Preface -- 1 Corporations, Sustainability and Women -- 1.1 Introduction -- 1.2 Three Parts of Our Collection -- 1.2.1 Women as Influencers of Corporate Action -- 1.2.2 Current Strategies for Corporate Sustainability -- 1.2.3 Feminist Theories and Corporate Sustainability -- 1.3 Conclusion: Future Directions -- Part I Women as Influencers of Corporate Action -- 2 Reclaiming Value and Betterment for Bangladeshi Women Workers in Global Garment Chains -- 2.1 Introduction -- 2.2 Global Value Chains and the Rise of the Bangladeshi Garment Industry -- 2.3 Cultural Barriers and Reclaiming Value -- 2.4 Claiming Value in Sectors with Developmental Limitations -- 2.5 Women's Betterment from Outside: International Pressure and Corporate Social Responsibility -- 2.6 Women's Betterment through the Law and Collective Action -- 2.7 Conclusion -- 3 Access to Voice: Meaningful Participation of Women in Corporate Consultations -- 3.1 Introduction -- 3.2 Unequal Voice and Participation -- 3.2.1 Gendered Effects of Unsustainable Corporate Activity -- 3.2.2 Missing Voice: Lack of Voice and Obstacles to the Participation of Women -- 3.3 Meaningful Voice: A Habermasian Perspective on Communication and Legitimate Decisions -- 3.4 Ensuring Meaningful Participation in Consultations -- 3.4.1 Lack of Voice: Two Cases of Mining in Papua New Guinea -- 3.4.2 Inviting Voice: A Gender Perspective on Consultations within the UNGP Framework -- 3.4.2.1 Potentially Affected Groups -- 3.4.2.2 What Is a Meaningful Consultation? -- 3.4.2.3 The Issue with Representativeness -- 3.5 Claiming Voice: Increasing Participation through Empowerment -- 3.6 Conclusion. 4 Ascertaining Corporate Sustainability from 'Below': The Case of the Ghanaian Rural Mining Communities -- 4.1 Introduction -- 4.2 Dumasi as the Local Context for Gold Mining Activity -- 4.2.1 The Local Community: Geography and People -- 4.2.2 The Company -- 4.3 Water at the Centre of Discontent -- 4.3.1 The Community and Access to Water -- 4.3.2 The Ethic of Care -- 4.3.3 Environmental Degradation -- 4.4 Women as Pivotal: 'The March for Water' -- 4.4.1 Female Activism -- 4.4.2 Corporate Action and Inaction -- 4.5 CSR from Below: Potential -- 4.5.1 CSR and Power Relationships -- 4.6 Conclusion -- Part II Current Strategies for Corporate Sustainability -- 5 Company Reporting of Environmental, Social and Gender Matters: Limitations, Barriers and Changing Paradigms -- 5.1 Introduction -- 5.2 Company Reporting Today -- 5.3 Company Reporting: Structural Barriers and Concerns -- 5.3.1 Rationales for Existing Company Reporting and Disclosure Regimes -- 5.3.2 Public vs Private Reporting and Engagement -- 5.3.3 Disordered Reporting Regimes -- 5.3.4 Company Disclosure Misconceptions -- 5.3.5 Poor Business Cultures, Decision Making, and Conduct -- 5.4 Relevant European Company Reporting Developments -- 5.4.1 Transparency Directive -- 5.4.2 Non-Financial Reporting Directive -- 5.4.3 Gender Balance on Corporate Boards Proposal -- 5.5 Conclusion -- 6 'A Toad We Have to Swallow': Perceptions and Participation of Women in Business and the Implications for Sustainability -- 6.1 Introduction -- 6.2 The Business Case -- 6.2.1 Introduction -- 6.2.2 Proving the Impossible: Causality -- 6.2.3 A Final Word on the Business Case -- 6.3 The Alternative (and Better) Arguments Based on Broader Economic and Social Goals -- 6.3.1 Policy Objectives of the European Union -- 6.3.2 The Economic Aspects of Equality -- 6.3.3 Equality and Social Justice. 6.3.4 Gender Balance and 'Smart, Sustainable and Inclusive Growth' -- 6.4 Regulating the Corporation to Achieve Equality -- 6.4.1 Corporate Law Theory -- 6.4.2 The European Reality -- 6.4.3 A Final Word on Corporate Function -- 6.5 A Storm in a Tea Cup: What Resistance to Mandated Quotas Tells Us about Corporations, Women and Broader Sustainability Goals -- 6.5.1 Voluntarism, Self-Regulation and Mandated Quotas -- 6.6 Conclusion -- 7 Gender Diversity on Corporate Boards: An Empirical Analysis in the EU Context -- 7.1 Introduction -- 7.2 Theoretical Framework -- 7.3 Sample, Variables of the Model and Methodology -- 7.3.1 Sample -- 7.3.2 Variables of the Model -- 7.3.3 Methodology -- 7.4 Empirical Results -- 7.5 Discussion and Conclusion -- 8 Social Entrepreneurship: (The Challenge for) Women as Economic Actors?: The Role and Position of Women in Dutch Social Enterprises -- 8.1 Introduction -- 8.2 Social Enterprises in the Netherlands and their Contribution to Sustainability -- 8.3 Social Enterprises as Agents of Change to Empower Women's Position in Organisations -- 8.4 Female Social Enterprises as Actors of Change for Women's Lives in Society -- 8.5 Women in the Dutch Social Enterprises' Structure and Functioning -- 8.5.1 Methodology Employed in the Survey -- 8.5.2 Female Involvement, Role and Position -- 8.5.3 Flexible Working Hours and the Possibility of Working at Home -- 8.5.4 Level of Education -- 8.5.5 Types of Social Enterprises Involving Women -- 8.6 Conclusions -- 9 How Change Happens: The Benefit Corporation in the United States and Considerations for Australia -- 9.1 Introduction -- 9.2 The New Structures: What, Why and How -- 9.2.1 Type A Businesses: Quasi-Non-Profits -- 9.2.2 Type B Businesses: The Classic Double or Triple Bottom Line Business. 9.2.3 The Social Enterprise as Implementer of Feminist Values and B Lab as an Agent for Change -- 9.2.4 B Corp Certification -- 9.2.5 Benefit Corporations -- 9.3 US Corporate Law Allows Socially Responsible Business Practices -- 9.4 Australian Companies May Be Socially Responsible, Too -- 9.5 Conclusion -- Part III Feminist Theories and Corporate Sustainability -- 10 Exploring Spatial Justice and the Ethic of Care in Corporations and Group Governance -- 10.1 Introduction -- 10.2 Corporate Group Governance: An Emerging Jurisprudence -- 10.2.1 Case Law -- 10.2.1.1 Lubbe v. Cape plc -- 10.2.1.2 Chandler v. Cape plc -- 10.2.1.3 Hempel Cases -- 10.2.2 Legislation -- 10.2.2.1 Albania Law No. 9901 on Entrepreneurs and Companies 2008 -- 10.2.2.2 UK Modern Slavery Act 2015 -- 10.2.3 Legal Procedure -- 10.2.3.1 Forum Conveniens for the Victims -- 10.2.3.2 The Importance of Due Diligence -- 10.3 Towards a Feminist Direction? -- 10.4 The Corporate Veil's Purpose -- 10.4.1 Demarcating Corporate Spaces -- 10.4.2 Preserving Corporate Autonomy -- 10.4.3 Establishing Equality Amongst Corporations -- 10.4.4 Conclusion -- 10.5 The Parent-Subsidiary Relationship -- 10.5.1 Structure: Spatial Justice in the Atmosphere -- 10.5.2 Substance: The Ethic of Care -- 10.6 Conclusion -- 11 The Uneasy Relationship between Corporations and Gender Equality: A Critique of the 'Transnational Business Feminism' Project -- 11.1 Introduction -- 11.2 Review of Feminist Theory -- 11.3 Renewed Interest in the Contribution of Women to Corporate Life -- 11.4 'Business as Usual': How Transnational Business Feminism Entrenches Existing Corporate Hierarchies -- 11.5 How Transnational Business Feminism Endorses Gender Hierarchies -- 11.6 The Need for Structural Reform in the Corporate Sector -- 11.7 Conclusion -- 12 The Gendered Corporation: The Role of Masculinities in Shaping Corporate Culture. 12.1 Introduction -- 12.2 Hegemonic Masculinities: Understanding Gendered Behaviour -- 12.3 Using Masculinities Research to Understand the Conduct of Corporate Actors -- 12.3.1 Masculinities and Corporations -- 12.3.2 Masculinities and Corporate Crime -- 12.4 Conclusion -- 13 Power and the Gender Imperative in Corporate Law -- 13.1 Introduction -- 13.2 Gender as a Social Construct -- 13.3 Embedded Norms in Corporate Law -- 13.4 Feminist Legal Theory and Corporate Sustainability -- 13.5 Implicit Bias Obstacles to Corporate Power -- 13.6 Conclusion -- 14 Corporate Sustainability: Gender as an Agent for Change? -- 14.1 The Sustainability Imperative -- 14.2 Gender and Organisational Change -- 14.2.1 Liberal Individualism and Valuing the Feminine -- 14.2.2 Liberal Structuralism -- 14.2.3 From Dual Objectives to Separatism -- 14.2.4 Transforming Gendered Society: The Necessity of External Agents -- 14.2.5 Taking Sustainability Goals Seriously ('Hypocrisy as a Resource') -- 14.3 Responding to the Sustainability Imperative -- Index. A compelling collection of essays by female scholars examining the relationships between sustainability, corporations and the role of gender. EBL201902 Information Transfer and Management SzGeCERN EBL Social responsibility of business EBL Sustainable development BOOK Lynch Fannon, Irene https://cds.cern.ch/auth.py?r=EBLIB_P_5355532 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2664251 BOOK MIGRATED 2664201 SzGeCERN 20210421202914.0 9781536132526 electronic version electronic version 9781536132526 print version 9781536132533 electronic version electronic version oai:cds.cern.ch:2664201 cerncds:BOOK EBL 5345353 eng HD60 .C677 2018 658.408 Baker, Charles Richard Corporate social responsibility (CSR) Hauppauge Nova Science Publishers 2018 350 p ebook Management science : theory and applications Intro -- Contents -- Preface -- Introduction -- Chapter 1 -- Socially Responsible Investment Funds -- Abstract -- Introduction -- Portfolio Operational Strategies -- Ethical Rating and Index -- Performance Measurements -- An Overview of the European Market -- Conclusions -- References -- Chapter 2 -- The Philosophical Dimensions of Social Responsibilities from the Bhagavad-Gita -- Abstract -- Introduction -- Objectives -- Methodology -- Philosophy and Business Management -- The Bhagavad-Gita -- Corporate Social Responsibility -- The Bhagavad-Gita and Social Responsibility -- Global Social Responsibility -- Corporate Social Responsibility -- Individual Social Responsibility -- Conclusion -- References -- Chapter 3 -- The Role of Corporate Social Responsibility in the International Banking Sector -- Abstract -- Introduction -- Literature Review -- The Relationship between CSR and CFP -- The Relationship between CSR and the Financial Crisis -- Sample, Data and Methodology -- Empirical Results -- Bank Size -- Bank Profitability -- Bank Efficiency -- Bank Liquidity -- Bank Capital Adequacy -- Bank Asset Quality -- Bank Market Value -- ESG Scores: Their Pre- and Post-Crisis Paterns -- Conclusion -- References -- Chapter 4 -- Corporate Social Responsibility as a Strategic Goal in Business: A Case Study -- Abstract -- Introduction -- Background of Corporate Social Responsibility -- How Has the Company to Accept Obligation of CSR? -- Indicators of Performance for Evaluation of CSR -- Case Study -- Methodology of Research -- Results and Discussion -- The Influence of CSR Indicators on ROA -- The Influence of Indicators on the Revenues' Profitability -- Conclusion -- Acknowledgments -- References -- Biographical Sketches -- Chapter 5 -- Modeling the Influence of Consumers' Attitudes Towards Corporate Socially Responsible Behavior -- Abstract. Introduction -- Increasing Interest in CSR among Consumers -- The Relevance of CSR Communication and CSR Advertising -- CSR in the Pharma Industry -- Empirical Investigation -- Study Purpose -- Rationale for Country Selection -- Study Description -- Stimulus Ad Design -- Conceptual Model and Hypothesis Development -- Consumers Attitudes towards Corporate Social Engagements -- Perceived Social Engagement -- The Issue of Company-Cause-Fit -- Product Evaluations -- Purchase Intention -- General Willingness to Purchase from a Socially Responsible Company -- Operationalization of Variables -- Results -- Measurement Model -- Structural Equation Model -- Discussion of Results -- Implications -- Limitations and Future Research -- References -- Appendix -- Chapter 6 -- Corporate Social Responsible Luxury: Reality or Fad? -- Abstract -- Introduction -- Theoretical Background -- CSR Activities of Luxury Brands: Hermès and Tiffany & Co. -- The Case of Hermès -- The Case of Tiffany & Co. -- Culture, Demographics and Luxury Consumption: France vs. Mexico -- Sustainability Perceptions of Stakeholders -- Employee Perceptions -- Customer Perceptions -- Conclusion -- References -- Chapter 7 -- Corporate Social Responsibility of the Construction Sector in Spain -- Abstract -- Introduction -- The Spanish Construction Sector and the Challenges of Meeting European Commitments in the Area of Corporate Social Responsibility -- The Social Responsibility of the Company as Measured by the Construction Sector Sustainability Indices -- Changes in the Conception of Sustainability and Its Various Evaluation Systems in the Construction Sector -- Life Cycle Assessment of Materials and Construction Products -- Construction Product Environmental Statement -- Sustainability Certifications in Construction -- Conclusion. Where Should the Construction Sector Be Heading?. References -- Chapter 8 -- Attitudes Towards Corporate Social Responsibility: A Cross-Cultural Study -- Abstract -- Introduction -- Theoretical Background of Corporate Social Responsibility -- Corporate Social Responsibility and the Public Company -- Methodology and Results -- Conclusion -- References -- Chapter 9 -- Corporate Social Responsibility at Michelin -- Abstract -- Introduction -- Theoretical Foundations -- Corporate Social Responsibility -- Management Control Strategy and Corporate Social Responsibility -- Methodology -- A Brief History of Michelin -- A Change Towards CSR -- Environmental Issues Unique to Michelin -- Sustainable Development Reports -- Discussion -- Conclusion -- References -- About the Editor -- Index -- Blank Page. EBL201902 Information Transfer and Management SzGeCERN EBL Business ethics EBL Corporations-Moral and ethical aspects BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5345353 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2664201 BOOK MIGRATED 2664173 SzGeCERN 20210421202918.0 9780262037723 electronic version electronic version 9780262037723 print version 9780262345750 electronic version electronic version oai:cds.cern.ch:2664173 cerncds:BOOK EBL 5331705 eng HD60 .S544 2018 658.408 Sheffi, Yossi Balancing green when to embrace sustainability in a business (and when not to) Cambridge, MS MIT Press 2018 567 p ebook Intro -- Contents -- Preface -- SUPPLY CHAINS IN THE CROSSHAIRS -- FUNCTIONAL SUSTAINABILITY INITIATIVES -- THE COMMITTED -- THANKS -- 1 THE GROWING PRESSURES -- AGENTS OF DISCOMFORT -- WHEN COMPANY STAKEHOLDERS GET INVOLVED -- GROWING REGULATORY RESTRICTIONS -- VULNERABILITY IS IN THE HANDS OF THE BRAND HOLDER -- TO BE OR NOT TO BE (AND HOW MUCH)? -- 2 The Structure of Supply Chains -- MAKING A PRODUCT, MAKING AN IMPACT -- CONSIDER THE SOURCE -- DELIVERY: THE FOOTPRINTS OF A JOURNEY -- CONSUMERS AND BEYOND -- PLANNING AND MANAGING SUPPLY CHAINS -- 3 Impact Assessment -- FOOTPRINT ASSESSMENT: THE BANANA'S APPEAL -- LIFE CYCLE ANALYSIS (WITH PARALYSIS) -- "BIGGER THAN A BREADBOX …" -- ASSESSMENT IN THE USE AND POST-USE PHASES -- GOAL SETTING: FROM ASSESSMENT TO COMMITMENT -- 4 Making with Less Taking -- FROM THE TAMING OF FLAME TO THE SHAMING OF FLAME -- A VOICE FOR THE BABBLING BROOK -- FACTORIES GO TO DETOX -- 5 The Sorcery of Sustainable Sourcing -- THE SUSTAINABILITY WEAK LINKS IN THE CHAIN -- DISCLOSURE BEGETS DISCUSSION AND MITIGATION -- STANDARDS AND CHECKMARKS -- HELPING SUPPLIERS HELP THE ENVIRONMENT -- EARTH: THE ULTIMATE SOLE-SOURCE SUPPLIER -- THE COMPLEXITIES OF COMMODITIES -- 6 Moving More, Emitting Less -- PUTTING THE GO IN CARGO -- FOR LESS FOOTPRINT, FILL MORE -- DRIVING GREENER VEHICLES -- FUEL TODAY, GREENHOUSE GAS TOMORROW -- SOOT BEGETS LAWSUITS: THE GREENING OF A PORT -- 7 All's Well That Ends Well -- THE AFTERLIFE OF PRODUCTS -- PLAY IT AGAIN, SAM -- RECYCLING: THE REVERSE SUPPLY CHAIN -- REPROCESSING: A NEW LIFE FOR OLD INGREDIENTS -- WHEN GOVERNMENTS MAKE WASTE PAY -- CLOSING THE LOOP -- 8 Green by Design -- MATERIAL SUBSTITUTION AND REDESIGN -- DESIGN FOR DELIVERY: PACKAGING -- LOWERING THE IMPACT OF USE -- DESIGN FOR RECYCLING -- 9 Talking the Walk: Communicating Sustainability -- LABELS: YOUR MILEAGE MAY VARY. THE STICKY TRUTH ABOUT LABELS -- LABELS THAT WORK -- CUSTOMER EDUCATION: THE MORE YOU KNOW … -- CORPORATE SUSTAINABILITY REPORTS -- TRUTH OR CONSEQUENCES (SOMETIMES BOTH) -- 10 Managing Sustainability -- AN ORGANIZATION'S PATH TO SUSTAINABILITY -- EVALUATING POTENTIAL SUSTAINABILITY INITIATIVES -- MANAGING BY MEASURING -- MANAGING WITHIN THE RULES -- COLLABORATIVE SUSTAINABILITY -- CORPORATE CULTURE -- MANAGING A PLAN -- 11 Creating Deep Sustainability -- DR. BRONNER'S MAGIC ALL-ONE -- PATAGONIA: WEARING ITS HEART ON ITS SLEEVE -- SEVENTH GENERATION, LITERALLY -- BALANCING ECONOMIC AND ENVIRONMENTAL CHALLENGES -- 12 The Travails of Scale -- SUSTAINABILITY AT SCALE -- GETTING TO SCALE -- NOT BIG ENOUGH -- BIG AND SUSTAINABLE -- 13 A Road to Sustainable Growth -- A TALE OF TWO GROWTH STORIES -- ON THE CUSP OF CATASTROPHE OR CORNUCOPIA? -- PEOPLE VS. PEOPLE -- MORE GROWTH AND LESS IMPACT -- EXPANDING THE FRONTIERS OF PERFORMANCE -- Notes -- Table of Thanks -- Index. An expert on business strategy offers a pragmatic take on how businesses of all sizes balance the competing demands of profitability and employment with sustainability. EBL201902 Information Transfer and Management SzGeCERN EBL Environmental economics EBL Social responsibility of business BOOK Blanco, Edgar https://cds.cern.ch/auth.py?r=EBLIB_P_5331705 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2664173 BOOK MIGRATED 2664170 SzGeCERN 20200610213338.0 9781351031561 electronic version electronic version 9781498721424 electronic version electronic version 9781498721424 print version oai:cds.cern.ch:2664170 cerncds:BOOK EBL 5330136 eng TP248.25.N35 .N366 2018 610.285 Dhawan, Alok Nanobiotechnology human health and the environment Milton Chapman and Hall/CRC 2018 612 p Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- Editors -- Contributors -- 1. Contemporary Developments in Nanobiotechnology: Applications, Toxicity, Sustainability, and Future Perspective -- 2. Nanotheranostics: Implications of Nanotechnology in Simultaneous Diagnosis and Therapy -- 3. Nanodevices for Early Diagnosis of Cardiovascular Disease: Advances, Challenges, and Way Ahead -- 4. Emerging Trends in Nanotechnology for Diagnosis and Therapy of Lung Cancer -- 5. Surface Modification of Nanomaterials for Biomedical Applications: Strategies and Recent Advances -- 6. Nanoparticle Contrast Agents for Medical Imaging -- 7. Recapitulating Tumor Extracellular Matrix: Design Criteria for Developing Three-Dimensional Tumor Models -- 8. Understanding the Interaction of Nanomaterials with Living Systems: Tissue Engineering -- 9. Nanoparticles and the Aquatic Environment: Application, Impact and Fate -- 10. Iron Nanoparticles for Contaminated Site Remediation and Environmental Preservation -- 11. Solubility of Nanoparticles and Their Relevance in Nanotoxicity Studies -- 12. Nanotechnology in Functional Foods and Their Packaging -- 13. Use of Nanotechnology as an Antimicrobial Tool in the Food Sector -- 14. Interface Considerations in the Modeling of Hierarchical Biological Structures -- Index. Singh, Sanjay Kumar, Ashutosh Shanker, Rishi https://cds.cern.ch/auth.py?r=EBLIB_P_5330136 ebook ebook EBL201902 Health Physics and Radiation Effects SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664150 SzGeCERN 20210421202920.0 9781119486084 9781119486091 oai:cds.cern.ch:2664150 cerncds:BOOK SAFARI 9781119486084 eng HD69.P75 .T753 2018 658.404 Triantis, John E Project finance for business development Newark, NJ John Wiley & Sons 2018 347 p ebook Wiley & SAS business series Intro -- Title Page -- Table of Contents -- Preface -- Acknowledgments -- About the Author -- CHAPTER 1: Introduction -- 1.1 ORIGINS OF PROJECT FINANCE -- 1.2 PROJECT FINANCE ADVANTAGES AND DISADVANTAGES -- 1.3 CORPORATE AND STRUCTURED VERSUS PROJECT FINANCE -- 1.4 THE PROJECT FINANCE MARKET -- 1.5 WHY A BUSINESS DEVELOPMENT APPROACH TO PROJECT FINANCE? -- 1.6 STRUCTURE OF THE BOOK -- 1.7 USE OF THE BOOK TO MAXIMIZE BENEFIT -- CHAPTER 2: Overview of Project Finance -- 2.1 PROJECT TAXONOMY -- 2.2 PROJECT FINANCE PHASES -- 2.3 KEY ELEMENTS OF PROJECT FINANCE -- 2.4 OWNERSHIP AND FINANCING STRUCTURE CONSIDERATIONS -- 2.5 PRIMARY PROJECT FINANCE ACTIVITIES -- 2.6 COMMON MISCONCEPTIONS AND MYTHS -- CHAPTER 3: The Record of Project Finance -- 3.1 THE RECORD OF PROJECT FINANCE DEALS -- 3.2 REASONS FOR PROJECT FAILURES -- 3.3 LESSONS LEARNED -- CHAPTER 4: Project Financing Processes -- 4.1 VARIANTS OF PROJECT FINANCING PROCESSES -- 4.2 NATURE OF PROJECT FINANCING PROCESSES -- 4.3 ACTIVITIES IN PROJECT FINANCE PROCESSES -- 4.4 MILESTONES OF PROJECT FINANCE PROCESSES -- 4.5 SUCCESSFUL PROJECT FINANCE PROCESS CHARACTERISTICS -- CHAPTER 5: Project Finance Organizations -- 5.1 THE NEED FOR PFOs -- 5.2 BUSINESS DEFINITION OF PFOs -- 5.3 PFO SKILLS AND QUALIFICATIONS -- 5.4 PFO CHALLENGES -- 5.5 PFO PERFORMANCE EVALUATION MEASURES -- 5.6 CHARACTERISTICS OF SUCCESSFUL PFOs -- CHAPTER 6: Project Development -- 6.1 PROJECT DEVELOPMENT PREREQUISITES -- 6.2 PREFEASIBILITY ASSESSMENT -- 6.3 PROJECT DEFINITION -- 6.4 TECHNICAL DESIGN AND ASSESSMENT -- 6.5 FEASIBILITY STUDY -- 6.6 DUE DILIGENCE -- 6.7 PROJECT AND FINANCIAL STRUCTURES -- 6.8 AGREEMENTS AND NEGOTIATIONS -- 6.9 PROJECT MARKETING AND RAISING FINANCING -- 6.10 DEVELOPMENT COSTS AND SUCCESS FACTORS -- CHAPTER 7: Participants and Responsibilities -- 7.1 ROLES OF THE PROJECT TEAM. 7.2 ROLES OF THE HOST GOVERNMENT -- 7.3 ROLES OF PROJECT SPONSORS -- 7.4 ROLES OF THE PROJECT COMPANY -- 7.5 ROLES OF THE LENDERS -- 7.6 ROLES OF ADVISORS, CONSULTANTS, AND INSURERS -- 7.7 ROLES OF MULTILATERAL AND UNILATERAL INSTITUTIONS -- 7.8 ROLES OF THE EPC CONTRACTOR -- 7.9 ROLES OF TECHNOLOGY AND EQUIPMENT PROVIDERS -- 7.10 ROLES OF PROJECT OFFTAKERS AND SUPPLIERS -- 7.11 ROLES OF THE O&M COMPANY -- CHAPTER 8: Project Finance Forecasting -- 8.1 WHAT IS A GOOD FORECAST? -- 8.2 WHAT TO FORECAST AND SOURCES OF FORECASTS -- 8.3 FORECAST ASSUMPTIONS -- 8.4 PROJECT FORECASTING PROCESS -- 8.5 PROJECT DEMAND ANALYSIS -- 8.6 FORECASTING METHODS AND TECHNIQUES -- 8.7 FORECAST SANITY CHECKS -- 8.8 CAUSES AND CONSEQUENCES OF FORECAST FAILURES -- 8.9 FORECAST MONITORING AND REALIZATION PLANNING -- CHAPTER 9: Project Contracts and Agreements -- 9.1 STRUCTURE, PREREQUISITES, AND COSTS OF CONTRACTS -- 9.2 CONTRACT DEVELOPMENT AND NEGOTIATION PROCESS -- 9.3 COMMON PROJECT FINANCE CONTRACTS -- 9.4 CHALLENGES OF PROJECT FINANCE CONTRACTS -- 9.5 PROJECT CONTRACT SUCCESS FACTORS -- CHAPTER 10: Project Risk Management -- 10.1 OBJECTIVES AND IMPORTANCE OF RISK MANAGEMENT -- 10.2 TYPES OF PROJECT RISKS -- 10.3 SOURCES OF PROJECT RISKS -- 10.4 RISK MANAGEMENT UNDERTAKINGS -- 10.5 RISK MANAGEMENT PROCESS -- 10.6 RISK MANAGEMENT INSTRUMENTS AND MITIGANTS -- 10.7 RISK MANAGEMENT BENEFITS, CHALLENGES AND SUCCESS FACTORS -- CHAPTER 11: Project Due Diligence -- 11.1 DUE DILIGENCE COSTS AND BENEFITS -- 11.2 HOST COUNTRY AND INDUSTRY DUE DILIGENCE -- 11.3 TECHNICAL DUE DILIGENCE -- 11.4 ENVIRONMENTAL DUE DILIGENCE -- 11.5 COMMERCIAL DUE DILIGENCE -- 11.6 LEGAL DUE DILIGENCE -- 11.7 FINANCIAL DUE DILIGENCE -- 11.8 OPERATIONAL DUE DILIGENCE -- 11.9 RISK MANAGEMENT DUE DILIGENCE -- 11.10 GENERAL AREAS OF DUE DILIGENCE -- 11.11 REPORT, ASSESSMENT, AND QUALITY CHARACTERISTICS. CHAPTER 12: Funding Sources and Programs -- 12.1 OFFICIAL PROJECT FINANCE SOURCES -- 12.2 PRIVATE SOURCES AND INSTRUMENTS -- 12.3 BENEFITS OF OFFICIAL FUNDING SOURCE PARTICIPATION -- CHAPTER 13: Structuring Project Finance -- 13.1 ELEMENTS OF PROJECT FINANCING STRUCTURING -- 13.2 EQUITY AND DEBT INVESTOR REQUIREMENTS -- 13.3 DECISIONS FROM SPC OWNERSHIP TO FINANCING STRUCTURE -- 13.4 DETERMINANTS OF PROJECT FINANCING -- 13.5 AMALGAMATION OF FINANCING -- CHAPTER 14: Project Financial Model -- 14.1 USES OF THE FINANCIAL MODEL -- 14.2 FINANCIAL MODEL INPUTS -- 14.3 FINANCIAL MODEL CALCULATIONS AND OUTPUTS -- 14.4 PROPERTIES OF GOOD PROJECT FINANCIAL MODELS -- CHAPTER 15: Trends Impacting Project Finance -- 15.1 MAJOR RELEVANT MEGATRENDS -- 15.2 MEGATREND SOURCES AND CHARACTERISTICS -- 15.3 DEMOGRAPHIC TRENDS -- 15.4 TECHNOLOGY AND INDUSTRY TRENDS -- 15.5 TRENDS IMPACTING THE GOVERNMENT SECTOR -- 15.6 TRENDS IMPACTING SPONSORS AND INVESTORS -- 15.7 TRENDS IMPACTING FUNDING SOURCES AND FINANCING -- 15.8 ANALYSIS OF TRENDS AND THEIR IMPACT -- CHAPTER 16: Project Finance -- 16.1 SOURCES OF COMPETITIVE ADVANTAGE -- 16.2 MANIFESTATIONS OF COMPETITIVE ADVANTAGE -- 16.3 CREATING COMPETITIVE ADVANTAGE -- 16.4 COMPETITIVE ADVANTAGE REALITY CHECK -- APPENDIX A: Common Project Finance Abbreviations -- APPENDIX B: Commonly Used Project Finance Definitions -- Bibliography -- Index -- End User License Agreement. SAF202009 EBLlink deleted Information Transfer and Management SzGeCERN EBL Decision making BOOK https://learning.oreilly.com/library/view/-/9781119486084/?ar ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2664150 BOOK MIGRATED 2664148 SzGeCERN 20200503232026.0 9781119457244 electronic version electronic version 9781119457251 electronic version electronic version 9781119457251 print version oai:cds.cern.ch:2664148 cerncds:BOOK EBL 5320956 eng HD58.9 .D488 2018 658.4012 Deutser, Brad Leading clarity Newark, NJ John Wiley & Sons 2018 196 p Intro -- Title Page -- Table of Contents -- Introduction: The Clarity Conundrum -- The People Factor -- Circuit Breakers -- Your Clarity Conundrum -- Chapter 1: Think Inside the Box -- Build Your Box -- Chapter 2: The Six Sides of Clarity -- The Fifth Side-Foundation (The Bottom of the Box) -- The Sixth Side: Environment (The Top of the Box) -- Environment: What Goes on Around Us -- The Connection of Identity and Environment -- Chapter 3: Misalignment Will Derail You -- Chapter 4: Performance by Design -- A Way to the Future -- Elegance versus Ego -- Linger in the Question (and Listen) -- Positivity -- Design Is Foundational -- Chapter 5: Impact Drivers -- The 11 Levers that Drive Impact -- Let's Pull a Couple Levers -- The Deutser Behavioral Competencies -- Lever: Environmental Design -- 11 Levers, Unlimited Impact -- Chapter 6: The Energy of Alignment -- Employee Engagement Increases with Alignment -- Clarity Aligns Intention with Purpose -- Alignment Allows Energy to Flow -- Chapter 7: Masqueraders of Clarity -- Political Correctness -- Suck‐ups and People Pleasers -- Past Performance -- Best Practices and Outdated Mandates -- Policy -- Compliance -- Boards and Founders -- Cause -- Politics -- Leaders and Managers -- Chapter 8: Clarity as Process, aka Magic -- The Value of Clarity -- Conclusion: Decoding Your Conundrum -- Acknowledgments -- About the Author -- References -- Index -- End User License Agreement. https://cds.cern.ch/auth.py?r=EBLIB_P_5320956 ebook ebook EBL Leadership EBL Organizational effectiveness EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664121 SzGeCERN 20210421202923.0 9781628253696 oai:cds.cern.ch:2664121 cerncds:BOOK SAFARI 9781628253696 eng HD69.P75 .D535 2017 658.4/04 Didinsky, Irene The practitioner's guide to program management Newtown Square, PA Project Management Institute 2017 256 p ebook Intro -- Executive Summary -- What Is Program Management? -- Program Management Industry History and Current State -- Program Management Industry Growth -- Program Strategy Alignment -- Program Management Industry Standardization -- Program, Project, and Portfolio Definitions -- Why Do Organizations Deploy Programs? -- Program Strategy Alignment -- Program Benefits Realization -- Program Management Performance Domains -- Program Life Cycle -- What Makes a Successful Program Manager? -- Organizational Structure Empowers a Program Manager to Lead -- Program Manager Role -- Program Infrastructure Enables a Program Manager to Lead -- Proficiency Framework Makes a Successful Program Manager -- Program Leadership Proficiency -- Program Operational Management Proficiency -- Interpersonal Skills -- Comparison of Program, Project, and Portfolio Manager Roles -- Program Strategy Alignment -- Organizational Strategy and Program Alignment -- Business Case -- Road Map -- Environmental Analysis -- Phase-Gate Review -- Program Benefits Realization and Management -- Benefits Realization -- Business Value -- Business Results -- Benefits Management -- Stakeholder Engagement -- Stakeholder Identification -- Stakeholder Engagement and Conflicting Priorities Management -- Stakeholder Engagement Planning -- Stakeholder Engagement -- Stakeholder Conflicting Priorities Management -- Program Governance and Team Management -- Governance Structure -- Governance Roles and Functions -- Team Responsibilities -- Build, Lead, and Off-Board a Program Team -- Program Life Cycle Management -- Program Life Cycle Phases -- Definition Phase -- Benefits Delivery Phase -- Component Planning and Authorization -- Component Oversight and Integration -- Component Transition and Closure -- Closure Phase -- Program Management Infrastructure -- Program Procurement Planning and Execution. Program Procurement Planning, Administration, and Closure -- Infrastructure Overview -- System Requirements for Effective Program Execution -- Program Definition Phase -- Program Benefits Delivery Phase -- Program Closure Phase -- Program Management Plan -- Program Definition Phase -- Program Benefits Delivery Phase -- Program Closure Phase -- Program Monitoring and Periodic Evaluation -- Program Definition Phase -- Program Benefits Delivery Phase -- Program Closure Phase -- Program Risk Management -- Program Risk Management -- Escalation Mechanism -- Program Change Control Process -- Change Control Process -- Quality Control Process -- Program Communication -- Effective Program Management -- Mechanisms to Deliver a Program on Time -- Mechanisms to Deliver a Program on Budget -- Effective Program Resource Management -- Resource Forecasting, Estimation, and Actual Tracking -- Future of Program Management -- Program Management Industry Current State -- Program Management Industry Future -- Program Management Community of Practice -- Program Management Community of Practice Value -- Foundation, Benefits, Structure, and Operational Activities of the Program Management Community of P -- Foundation -- Benefits -- Costs -- Structure -- Operational Activities -- Glossary -- References -- About the Author. Programs serve as a crucial link between strategy and the execution of business results and organizations implement them to achieve strategic goals. Although the practice of program management has evolved in lockstep with the project management profession, the root causes of program failure remain.In this step-by-step guide, Irene Didinsky offers a standardized approach to program management, closing the knowledge gaps and variations that currently exist across organizations and industries. For the first time, Practitioner's Guide to Program Management walks the reader through all the key components of effective program management. Using a case study example of an actual process improvement program, Didinsky discusses the qualities of excellence in program leadership, the importance of organizational strategy alignment throughout the program life cycle, how a program realizes benefits, and how to manage conflicting priorities of stakeholders.This comprehensive resource also includes an historical overview of the professionalization of the field, outlines the logistics of forming a program management community of practice, and concludes with a glossary of terms. With this desktop manual in their hands, practitioners can expect to thrive and guarantee the success of their programs. SAF202009 EBLlink deleted Information Transfer and Management SzGeCERN EBL Organizational change EBL Project management BOOK https://learning.oreilly.com/library/view/-/9781628253696/?ar ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2664121 BOOK MIGRATED 2664108 SzGeCERN 20210421202925.0 9781138557154 electronic version electronic version 9781138557154 print version 9781351366823 electronic version electronic version oai:cds.cern.ch:2664108 cerncds:BOOK EBL 5289048 eng TD194.7 .P35 2018 658.4/08 Pain, Simon Watson Safety, health and environmental auditing a practical guide 2nd ed. Milton Chapman and Hall/CRC 2018 234 p ebook Cover -- Half-Title -- Title -- Copyright -- Dedication -- Contents -- Preface -- About the Author -- Chapter 1 Elements of a Good Safety, Health and Environmental System -- Chapter 2 Management Systems -- Chapter 3 AuditingThe Principles -- Management Audits -- Specialist Audits -- Operational Audits -- Purpose and Benefits -- Chapter 4 What Makes a Good Auditor? -- Chapter 5 The Standard or Requirement -- Chapter 6 Preparation -- Chapter 7 Protocols and Checklists -- WHO -- WHAT -- HOW -- WHEN -- Chapter 8 The Entry Meeting -- Chapter 9 Area Familiarisation -- Chapter 10 Audit Observation Skills -- Focused Looking -- Chapter 11 The Formal Discussion -- Chapter 12 The Informal Discussion -- Chapter 13 Statistical Significance -- Chapter 14 The Importance of Verification and the Audit Trail -- Chapter 15 Conformity -- Chapter 16 Documentary Review -- Step 1: Reason -- Step 2: Choose -- Step 3: Read -- step 4: Challenge -- Chapter 17 Convergence -- Chapter 18 The Exit Meeting -- Chapter 19 Audit Uniformity and Credibility -- Chapter 20 Auditor Training -- Chapter 21 Managing Auditee Expectations -- Chapter 22 Auditing and Its Relevance to Regulatory Compliance -- Chapter 23 ReportingQuantitative Assessment -- Chapter 24 ReportingQualitative Assessment -- Chapter 25 Follow-Up -- Chapter 26 Choosing the Audit Process -- Chapter 27 Audit Team Composition -- Chapter 28 Using the Plaudit 2 Process -- Getting Started (Audit Preparation) -- Commencing a Plaudit 2 Audit -- Using the Plaudit 2 Process -- Chapter 29 Using the Plaudit 2 Protocol Software -- Chapter 30 Process Safety Audits -- So What Do We Mean By ‘Process Safety’? -- Full Process Safety Audit -- What Is the Purpose of the Pre-startup Safety Review? -- Chapter 31 EHS Aspects of Due Diligence Audits -- Safety Component Of Due Diligence Auditing. Health Component Of Due Diligence Auditing -- Environmental Component Of Due Diligence Auditing -- Chapter 32 International EHS Auditing Standards -- A Summary Of Iso 14001 Requirements -- Background -- A Summary of OHSAS 18001 Requirements -- Comparison Between OHSAS 18001 and ISO 45001 (Draft) -- Guidelines For Auditing Management Systems ISO 19011 -- Glossary -- Appendix 1: Auditor Guidance -- Appendix A1.1: SHE Aspects for Consideration in the Audit Scope -- Audit Subjects -- Appendix A1.2 -- Auditor Selection Criteria -- Appendix A1.3 -- Audit Preparations -- Appendix A1.4 -- Example of Audit Notification Letter -- Appendix A1.5 -- Typical Sequence of Audit Processes -- Appendix A1.6 -- Contents of Auditor’s Manual -- Appendix A1.7 -- Auditor’s Personal Equipment -- Appendix A1.8 -- Appendix A1.9 -- Entry Meeting -- Appendix A1.10 -- Generic Audit Questions -- Appendix A1.11 -- Discussion Preparation -- Setting -- Nonverbal Communications -- Types of Question -- Appendix A1.12 -- Discussion Questions for Informal Discussions -- Appendix A1.13 -- Audit Observations -- Appendix A1.14 -- Reporting -- Appendix A1.15 -- Example of Executive Summary for a Level 3 SHE Management Audit Report -- Executive Summary -- Appendix A1.16 -- Process Safety Audit Aspects -- Appendix A1.17 -- Pre-Startup Safety Checks -- Appendix A1.18 -- EHS Due Diligence: Areas for the Auditor to Review -- Appendix A1.19 -- Due Diligence: Environmental Audit Checklist -- Appendix 2: Plaudit 2 Audit Protocol -- Index. EBL201902 Information Transfer and Management SzGeCERN EBL Environmental auditing EBL Industrial hygiene-Auditing BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5289048 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2664108 BOOK MIGRATED 2664082 SzGeCERN 20200503232025.0 9781138727144 electronic version electronic version 9781138727144 print version 9781351750738 electronic version electronic version oai:cds.cern.ch:2664082 cerncds:BOOK EBL 5264621 eng HD30.255 .R368 2018 658.4083 Ramus, Catherine Anne Employee environmental innovation in firms organizational and managerial factors Milton Routledge 2017 232 p Cover -- Half Title -- Dedication -- Title -- Copyright -- Contents -- List of Tables -- List of Figures -- Preface -- Acknowledgements -- List of Abbreviations -- 1 Research Problem and Literature Review -- 1.1 Introduction to Research Problem -- 1.2 Introduction to Literature Review -- 1.3 Conclusions from Literature Review -- 2 Conceptual Framework for Empirical Investigation -- 2.1 Part I: Conceptual Model for Empirical Investigation -- 2.2 Part II: Importance of Environmental Policies to Signal Organizational Encouragement -- 2.3 Part III: Supervisory Behaviors that Support Employee Initiatives -- 2.4 Summary of Conceptual Framework Chapter -- 3 Research Methodology -- 3.1 Study Design -- 3.2 Survey Measures -- 3.3 Analytical Models -- 3.4 Summary of Methodology Chapter -- 4 Analysis of Survey Results -- 4.1 Summary of the Objective of the Analyses -- 4.2 Results of Employee Survey: Part I -- 4.3 Results of Employee Survey: Part II -- 4.4 Interactions Between Two Sets of Independent Variables -- 4.5 Discussion and Conclusions from Survey Results -- 5 Summary of Findings and Implications for Research and Practice -- 5.1 Synopsis -- 5.2 Implications for Research and Practice -- 5.3 Future Research -- References -- Notes -- Appendix: Behavioral Survey Development -- Appendix 1.1: Interview Questionnaire -- Appendix 1.2: Instrument for Allocating Performance Characteristics to Managerial Behaviors -- Appendix 1.3: Scaling Exercise Questionnaire -- Appendix 1.4: Final Questionnaire: Employee Assessment of Environmental Management Behavior -- Index. https://cds.cern.ch/auth.py?r=EBLIB_P_5264621 ebook ebook EBL Business enterprises-Environmental aspects EBL Environmental responsibility EBL Industrial management-Employee participation EBL Industrial management-Environmental aspects EBL Organizational behavior EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664081 SzGeCERN 20210421202929.0 9781119420903 electronic version electronic version 9781119420903 print version 9781119420927 electronic version electronic version oai:cds.cern.ch:2664081 cerncds:BOOK EBL 5261391 eng HD69.P75 .H453 2018 658.404 Heldman, Kim PMP Project Management Professional exam study guide 9th ed. Newark, NJ John Wiley & Sons 2018 771 p ebook Cover -- Title Page -- Copyright -- Acknowledgments -- About the Author -- Contents at a Glance -- Contents -- Introduction -- Assessment Test -- Answers to Assessment Test -- Chapter 1 What Is a Project? -- Is It a Project? -- Projects vs. Operations -- Stakeholders -- Project Characteristics -- What Is Project Management? -- Programs -- Portfolios -- Organizational Project Management -- Project Management Offices -- Skills Every Good Project Manager Needs -- Technical Project Management Skills -- Business Management and Strategic Skills -- Communication Skills -- Organizational and Planning Skills -- Conflict Management Skills -- Negotiation and Influencing Skills -- Leadership Skills -- Team-Building and Motivating Skills -- Role of a Project Manager -- Understanding Organizational Structures -- Functional Organizations -- Project-Oriented Organizations -- Matrix Organizations -- Other Organizational Structures -- Project-Based Organizations -- Understanding Project Life Cycles and Project Management Processes -- Project Phases -- Project Life Cycles -- Project Management Process Groups -- Agile Project Management -- Project Life Cycles -- Agile Roles and Responsibilities -- Sprint Planning -- Daily Standups or Scrum Meetings -- Sprint Review and Retrospective -- Other Methodologies -- Understanding How This Applies to Your Next Project -- Summary -- Exam Essentials -- Review Questions -- Chapter 2 Creating the Project Charter -- Exploring the Project Management Knowledge Areas -- Project Integration Management -- Project Scope Management -- Project Schedule Management -- Project Cost Management -- Project Quality Management -- Project Resource Management -- Project Communications Management -- Project Risk Management -- Project Procurement Management -- Project Stakeholder Management -- Understanding How Projects Come About. Needs and Demands and Other Factors That Lead to Project Creation -- Feasibility Studies -- Performing Project Selection and Assessment -- Using Project Selection Methods -- Kicking Off the Project Charter -- Business Documents -- Agreements -- Enterprise Environmental Factors -- Organizational Process Assets -- Tools and Techniques -- Formalizing and Publishing the Project Charter -- Pulling the Project Charter Together -- Key Stakeholders -- Project Charter Sign-Off -- Assumptions Log -- Identifying Stakeholders -- Identify Stakeholders Inputs -- Stakeholder Analysis -- Stakeholder Register and Other Outputs -- Introducing the Kitchen Heaven Project Case Study -- Understanding How This Applies to Your Next Project -- Summary -- Exam Essentials -- Review Questions -- Chapter 3 Developing the Project Scope Statement -- Developing the Project Management Plan -- Developing Project Management Plan Inputs -- Documenting the Project Management Plan -- Overview of the Project Scope Management Knowledge Area -- Plan Scope Management -- Understanding the Plan Scope Management Inputs -- Using Plan Scope Management Tools and Techniques -- Alternatives Analysis -- Documenting the Scope Management Plan -- Documenting the Requirements Management Plan -- Collecting Requirements -- Gathering Inputs for the Collect Requirements Process -- Using the Tools and Techniques of the Collect Requirements Process -- Documenting Requirements -- Defining Scope -- Product Analysis -- Writing the Project Scope Statement -- Understanding the Scope Statement Components -- Approving and Publishing the Project Scope Statement -- Updating the Project Documents -- Creating the Work Breakdown Structure -- Gathering the WBS Inputs -- Decomposing the Deliverables -- Constructing the WBS -- Creating WBS Process Outputs -- Understanding How This Applies to Your Next Project -- Summary. Exam Essentials -- Review Questions -- Chapter 4 Creating the Project Schedule -- Overview of the Project Schedule Management Knowledge Area -- Creating the Schedule Management Plan -- Defining Activities -- Define Activities Process Inputs -- Tools and Techniques for Defining Activities -- Define Activities Outputs -- Understanding the Sequence Activities Process -- Sequence Activities Tools and Techniques -- Project Management Information System (PMIS) -- Sequence Activities Outputs -- Estimating Activity Resources -- Estimate Activity Resources Inputs -- Estimate Activity Resources Tools and Techniques -- Estimate Activity Resources Outputs -- Estimating Activity Durations -- Estimate Activity Durations Inputs -- Estimate Activity Durations Tools and Techniques -- Estimate Activity Durations Outputs -- Developing the Project Schedule -- Develop Schedule Inputs -- Develop Schedule Tools and Techniques -- Scheduling Process Outputs -- Understanding How This Applies to Your Next Project -- Summary -- Exam Essentials -- Review Questions -- Chapter 5 Developing the Project Budget and Communicating the Plan -- Overview of the Project Cost Management Knowledge Area -- Creating the Cost Management Plan -- Performing Plan Cost Management -- Creating the Cost Management Plan -- Estimating Costs -- Estimate Costs Inputs -- Tools and Techniques to Estimate Costs -- Estimate Costs Process Outputs -- Establishing the Cost Baseline -- Determine Budget Inputs -- Determine Budget Tools and Techniques -- Determine Budget Process Outputs -- Understanding Stakeholders -- Analyzing Stakeholders -- Stakeholder Engagement Plan -- Overview of the Project Communication Management Knowledge Area -- Communicating the Plan -- Plan Communications Management Inputs -- Tools and Techniques for Plan Communications Management -- Plan Communications Management Outputs. Understanding How This Applies to Your Next Project -- Summary -- Exam Essentials -- Review Questions -- Chapter 6 Risk Planning -- Planning for Risks -- Overview of the Project Risk Management Knowledge Area -- Planning Your Risk Management -- Plan Risk Management Inputs -- Tools and Techniques for Plan Risk Management -- Creating the Risk Management Plan -- Identifying Potential Risk -- Identify Risks Inputs -- Tools and Techniques for Identify Risks -- Identify Risks Outputs -- Analyzing Risks Using Qualitative Techniques -- Perform Qualitative Risk Analysis Inputs -- Tools and Techniques for Perform Qualitative Risk Analysis -- Ranking Risks in the Risk Register -- Quantifying Risk -- Tools and Techniques for Perform Quantitative Risk Analysis -- Perform Quantitative Risk Analysis Outputs -- Developing a Risk Response Plan -- Tools and Techniques for Plan Risk Responses -- Plan Risk Responses Outputs -- Understanding How This Applies to Your Next Project -- Summary -- Exam Essentials -- Review Questions -- Chapter 7 Planning Project Resources -- Overview of the Project Procurement Management Knowledge Area -- Procurement Planning -- Plan Procurement Management Inputs -- Tools and Techniques for Plan Procurement Management -- Plan Procurement Management Outputs -- Overview of the Project Resource Management Knowledge Area -- Developing the Resource Management Plan -- Plan Resource Management Inputs -- Plan Resource Management Tools and Techniques -- Plan Resource Management Outputs -- Project Quality Management Knowledge Area Overview -- Quality Planning -- Plan Quality Management Inputs -- Tools and Techniques for Plan Quality Management -- Plan Quality Management Outputs -- Bringing It All Together -- Understanding How This Applies to Your Next Project -- Summary -- Exam Essentials -- Review Questions -- Chapter 8 Developing the Project Team. Directing and Managing Project Work -- Direct and Manage Project Work Inputs -- Tools and Techniques of Direct and Manage Project Work -- Outputs of Direct and Manage Project Work -- Acquiring the Project Team and Project Resources -- Acquire Resources Inputs -- Tools and Techniques of Acquire Resources -- Outputs of Acquire Resources -- Developing the Project Team -- Tools and Techniques of Develop Team -- Outputs of Develop Team -- Managing Project Teams -- Tools and Techniques for Managing Teams -- Emotional Intelligence (Interpersonal and Team Skills) -- PMIS -- Managing Project Team Outputs -- Implement Risk Responses -- Understanding How This Applies to Your Next Project -- Summary -- Exam Essentials -- Review Questions -- Chapter 9 Conducting Procurements and Sharing Information -- Conducting Procurements -- Conduct Procurements Tools and Techniques -- Conduct Procurements Outputs -- Laying Out Quality Assurance Procedures -- Inputs to Manage Quality -- Manage Quality Tools and Techniques -- Manage Quality Outputs -- Manage Project Knowledge -- Tools and Techniques to Manage Project Knowledge -- Manage Project Knowledge Outputs -- Managing Project Information -- Tools and Techniques of Manage Communications -- Outputs of Manage Communications -- Managing Stakeholder Engagement -- Manage Stakeholder Engagement Inputs -- Tools and Techniques for Manage Stakeholder Engagement -- Manage Stakeholder Engagement Outputs -- Understanding How This Applies to Your Next Project -- Summary -- Exam Essentials -- Review Questions -- Chapter 10 Measuring and Controlling Project Performance -- Monitoring and Controlling Project Work -- Monitor and Control Project Work Inputs -- Monitor and Control Project Work Outputs -- Controlling Procurements -- Controlling Procurements Inputs -- Control Procurements Tools and Techniques -- Control Procurements Outputs. Monitoring Communications. EBL201902 Information Transfer and Management SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5261391 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2664081 BOOK MIGRATED 2664074 SzGeCERN 20190321204938.0 9780749470425 electronic version 9780749470418 electronic version EBL 5255524 eng HD30.255.J65 2014 658.4/083 Jolly, Adam Clean tech clean profits using effective innovation and sustainable business practices to win in the new low-carbon economy 2nd ed. London Kogan Page 2014 264 p Intro -- Contents -- List of figures -- List of tables -- Foreword -- Part One The size of the challenge -- 1.1 Towards the circular economy -- The limits of linear consumption -- From linear to circular - accelerating a proven concept -- An economic opportunity worth billions - charting the new territory -- Substantial net material savings -- The shift has begun - mainstreaming the circular economy -- References -- 1.2 Energy innovation -- Competitive renewables -- Smart energy -- Innovate better -- 1.3 Zero Carbon Britain -- Key actions -- 1.4 Powering change -- The advantage of on-site renewable generation -- Renewable energy options for powering business -- Effective energy management -- Towards the future - a greener outlook for business? -- Notes -- Part Two The potential for innovation -- 2.1 Low-carbon growth -- The policy backdrop -- A 'virtuous circle' -- Technology options and cost efficiency -- Conclusion -- 2.2 Smarter buildings -- Integration is key -- The business case -- Create a great customer experience -- 2.3 Efficiency gains -- Investment -- Waste -- 2.4 Changes in corporate behaviour -- Directors' duties under company law -- Mandatory disclosure of environmental emissions -- 'Greening' the supply chain -- Renewable energy generation -- Opportunities for demand-side management and 'co-venturing' -- Conclusion -- Notes -- 2.5 Clean options on major projects -- Project delays -- Innovative project thinking -- It's all in the planning -- Design for the future -- A clean tech blueprint -- Part Three How the market works -- 3.1 Funding future energy -- 3.2 The value of measuring carbon -- CDP as a reporting driver -- Third-party assurance -- Material risks -- Consumer behaviour -- 3.3 Structuring techniques for demand-side management solutions -- Demand-side management: an overview -- Key issues -- Conclusion -- Notes. 3.4 Responsibly sourced -- Case studies of reputation -- Early steps in the construction industry -- Responsible sourcing in building services and M&E - the next steps -- Conclusions -- 3.5 Energy system modelling -- What can modelling tell us? -- The characteristics -- Energy markets -- The scale of investment -- 3.6 Intellectual property for clean tech -- Intellectual property protects innovation -- Intellectual property is a business asset -- Patents protect technical innovations -- Any technical innovation may be patentable -- Strategies for intellectual property -- Management of intellectual property -- Other people's intellectual property -- Recycling old intellectual property -- Part Four Re-thinking energy -- 4.1 New demands on electricity -- Innovation in energy generation -- Innovation in energy use -- Innovation in electricity distribution -- Conclusion -- 4.2 Smart energy -- The global context -- Consumer behaviour -- Super-useful information: who will win? -- Notes -- 4.3 The supergrid -- Harnessing the power of the planet -- A European energy supergrid -- The energy grids we have today -- The emergence of a supergrid -- What could the supergrid do for renewable energy? -- Supergrid projects in development -- Supergrid supporters and proponents -- Bolstering existing AC grids -- Laying an HVDC cable -- Alternatives to the supergrid -- 4.4 Prospects for self-generation -- Self-consumption technologies -- Clean efficiencies -- 4.5 Pumped storage hydropower -- 4.6 Carbon capture and storage -- Projects update -- Costs and funding -- Conclusion -- Part Five Renewable sources -- 5.1 De-risking ocean energy -- Current issues facing the industry - technical and non-technical barriers -- De-risking the industry -- Conclusion -- Notes -- 5.2 Solar technology -- The state of solar technology -- The development of solar technology. Expectations for the future -- 5.3 Offshore renewable energy -- Reference -- 5.4 Biomass -- What is it about biomass? -- Examples of common handling problems with biomass -- Why the problems? -- Choosing the right solutions -- Feedstock variability -- Know your enemy -- Note -- Part Six Environment -- 6.1 Water -- Energy from water -- Control of antibiotic resistance and pharmaceuticals -- Nutrient control and recovery -- Conclusion -- 6.2 Current priorities for air pollution control -- 6.3 Resource efficiency -- The problem -- The opportunity -- Design -- New business models -- Product collection and reuse -- System changes -- How can I adopt circular thinking? -- What does the future hold? -- Part Seven Transport -- 7.1 Powering tomorrow's electric vehicles -- Has the electric vehicle (EV) uptake gone to plan? -- Some history first - the domination of the internal combustion engine -- Introducing lithium sulfur -- Safety -- Performance -- Clean tech -- The first lithium sulfur vehicle -- Mass-market adoption -- EV battery improvements benefit other applications -- Looking further ahead - lithium air -- 7.2 Transport design -- 7.3 Low-carbon mobility -- Building blocks already in place -- The chicken and the egg -- What's best - charging at home or in the street? -- A need to shift policy -- 7.4 LPG Autogas -- Note -- Index -- Index of advertisers. Assess the role of innovation in developing profitable business strategies with this expert commentary on effective and profitable practice in the world's new low-carbon economy. 9780749470418 print version oai:cds.cern.ch:2664074 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5255524 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664063 SzGeCERN 20190321204938.0 9781523096619 electronic version oai:cds.cern.ch:2664063 cerncds:BOOK EBL 5254162 eng 658.4/04 Virine, Lev Project decisions the art and science Oakland, CA Berrett-Koehler Publishers 2007 342 p Intro -- Title Page -- Copyright -- About the Author -- Table of Contents -- PREFACE -- ACKNOWLEDGMENTS -- TEST YOUR JUDGMENT -- ANSWERS TO JUDGMENT QUIZ -- PART 1: Introduction to Project Decision Analysis -- CHAPTER 1: Project Decision Analysis: What Is It? -- The Burden of Poor Decision-making -- Why Do We Make Wrong Decisions? -- Approaches to Decision-making -- Decision Analysis as a Process -- Normative and Descriptive Decision Theory -- Driving Forces behind Project Decision Analysis -- A Little Bit of History -- Decision Analysis Today -- CHAPTER 2: "Gut Feel" vs. Decision Analysis: Introduction to the Psychology of Project Decision-Making -- Human Judgment Is Almost Always to Blame -- Blink or Think? -- Cognitive and Motivational Biases -- Cognitive Biases -- Motivational Biases -- Perception -- Bounded Rationality -- Heuristics and Biases -- Availability Heuristic -- Representativeness Heuristic -- Anchoring and Adjustment Heuristic -- Behavioral Traps -- Time Delay Traps -- Ignorance Traps -- Deterioration Traps -- Frames and Accounts -- Training for Project Decision-Making Skills -- CHAPTER 3: Understanding the Decision Analysis Process -- Decision Analysis -- When Decision-Makers Go Bad -- The Decision Analysis Manifesto -- The "3C" Principle of Project Management -- Consistency -- Comprehensiveness -- Continuity -- Decision Analysis Process vs. the PMBOK® Guide's Project Risk Management -- Decision Analysis and Other Business Processes -- Phases of the Decision Analysis Process -- Phase 1. Decision-Framing -- Phase 2. Modeling the Situation -- Phase 3. Quantitative Analysis -- Phase 4. Implementation, Monitoring, and Review -- Big and Small Decisions -- The Value of Project Decision Analysis -- CHAPTER 4: What Is Rational Choice? A Brief Introduction to Decision Theory -- Decision Policy -- Which Choice Is Rational?. Expected Value -- The St. Petersburg Paradox -- Risk-Taker vs. Risk-Avoider -- Expected Utility -- Expected Utility Theory -- Extensions of Expected Utility Theory -- How to Use Expected Utility Theory -- Descriptive Models of Decision-Making -- CHAPTER 5: Creativity in Project Management -- Creativity and Decision-Making -- Psychology of Creativity -- Creativity Blocks -- Framing and Perceptual Blocks -- Value-Based Blocks -- Cultural, Organizational, and Environmental Blocks -- CHAPTER 6: Group Judgment and Decisions -- Psychology of Group Decision-Making -- Aggregating Judgment -- Group Interaction Techniques -- Brainstorming -- Tools for Facilitating Discussions -- A Few Words about Game Theory -- CHAPTER 7: Are You Allowed to Make a Decision? Or the "Frustrated Developer's Syndrome" -- What Is FDS? -- Why FDS Is a Problem -- How Does FDS Spread? -- Three Common Myths about FDS -- Myth 1: Our organization is not suitable for an FDS-free environment -- Myth 2: When companies implement organizational processes, FDS results -- Myth 3: An FDS-free corporate culture leads to anarchy -- The Roots of FDS -- Treating FDS -- The Second Russian Revolution -- PART 2: Decision-Framing -- CHAPTER 8: Identifying Problems and Assessing Situations -- Who Are the Players? -- Identifying Problems and Opportunities -- Assessing Business Situations -- Some Tools and Techniques -- CHAPTER 9: Defining Project Objectives -- Different Objectives and Different Criteria for Decision-Making -- Aligning Project Objectives -- Decision Analysis as an Art of Tradeoffs -- Project Objectives Hierarchy -- CHAPTER 10: Generating Alternatives and Identifying Risks -- Identifying Risks and Uncertainties -- Generating Alternatives -- Risk Breakdown Structures -- Risk Templates -- Risk-Response Planning -- Risk Registers -- PART 3: Modeling the Situation. CHAPTER 11: The Psychology and Politics of Estimating -- How Do We Make Estimates? -- How We Think When We Make Estimates -- Impact of Politics on Estimation -- Impact of Psychology on Estimation and the Rule of Pi -- Student Syndrome -- Other Cognitive Biases in Estimating -- Other Explanations of Problems with Estimation -- Where Does the Problem Lie-In Psychology or Politics? -- Many Mental Errors and One Wrong Estimate -- Simple Remedies -- Never Make a Wild Guess -- Collect Relevant Historical Data -- Perform Reality Checks -- Conduct an Independent Assessment -- CHAPTER 12: Project Valuation Models -- Model of the Project -- Schedule Model -- Economic Model -- Alternative Models -- The Critical Path Method -- The Critical Chain Method -- Event Chain Methodology -- Modeling with Influence Diagrams -- The Agile Approach to Project Modeling -- CHAPTER 13: Estimating Probabilities -- Approaches to Estimating Probabilities -- Subjective Estimation of Probabilities -- How We Subjectively Assess Probability and Risk -- Methods of Eliciting Subjective Judgments in Project Management -- What If a Decision Is Sensitive to Probability? -- Qualitative Risk Analysis -- PART 4: Quantitative Analysis -- CHAPTER 14: Choosing What Is Most Important: Sensitivity Analysis and Correlations -- What Are Correlations? Why Do We Need to Analyze Them? -- Sources of Correlations in Projects -- Psychology of Correlation and Causation -- How to Improve Your Judgment -- Sensitivity Analysis -- Quantitative Analysis of Correlations -- Crucial Tasks -- Correlations between Tasks -- CHAPTER 15: Decision Trees and the Value of New Information -- What Is a Decision Tree? -- Why Project Managers Avoid Decision Trees (and Why They Shouldn't) -- Converting Project Schedules into Decision Trees -- The Value of Perfect Information -- The Value of Imperfect Information. CHAPTER 16: What Is Project Risk? or PERT and Monte Carlo -- How Much Will It Really Cost? -- PERT -- Statistical Distributions -- The Monte Carlo Technique -- Which Distribution Should Be Used? -- How Many Trials Are Required? -- Analysis of Monte Carlo Results -- Sensitivity and Correlations -- Critical Indices -- Probabilistic Calendars -- Deadlines -- Conditional Branching -- Probabilistic Branching -- Chance of Task Existence -- Is Monte Carlo the Ultimate Solution? -- CHAPTER 17: "A Series of Unfortunate Events," or Event Chain Methodology -- How Events Can Affect a Project -- Basic Principles of Event Chain Methodology -- Principle 1. Moment of risk and state of an activity -- Principle 2: Event chains -- Principle 3: Critical event chains -- Principle 4: Analysis using Monte Carlo simulations -- Principle 5: Performance-tracking with events and event chains -- Principle 6: Event chain diagrams -- Event Chain Methodology Phenomena -- Repeated Activities -- Event Chains and Risk Mitigation -- Resource Leveling Based on Events -- Delays in Event Chains -- How to Use Event Chain Methodology -- Example of Event Chain Methodology -- Event Chain Methodology and Mitigation of Psychological Biases -- Work Breakdown Structure + Risk Breakdown Structure + Analysis = Event Chain Methodology -- CHAPTER 18: The Art of Decision Analysis Reporting -- How to Communicate the Results of Decision Analysis -- Motivational Biases in Reporting Decision Analysis Results -- Put It in Perspective -- Presentations Must Have Meaning -- Expressing Uncertainty -- The Power of Fear -- CHAPTER 19: Making a Choice with Multiple Objectives -- What is Multi-Criteria Decision-Making? -- The Psychology of Balancing Multiple Objectives -- Two Approaches to Multi-Criteria Decision-Making -- Ranking Criteria with the Scoring Model. Advanced Methods of Multi-Criteria Decision-Making -- PART 5: Implementation, Monitoring, and Reviews -- CHAPTER 20: Adaptive Project Management -- Adaptive Management As Part of Project Decision Analysis -- Principles of Adaptive Management -- Principle 1: Use actual project data in combination with original assumptions -- Principle 2: Minimize the cost of decision reversals. ("Try not to kill the cow.")252 -- Principle 3: Make small, sequential decisions -- Principle 4: Support creative business environments -- Principle 5: Identify and fix problems early (avoiding behavioral traps) -- The PMBOK® Guide Approach to Project Executing, Monitoring, and Controlling -- CHAPTER 21: Did You Make the Right Choice? Reviewing Project Decisions -- Why Do We Need Post-Project Reviews? -- How Could We Not Foresee It? -- "I Knew It All Along" -- Overestimating the Accuracy of Past Judgments -- The Peak-End Rule -- The Process of Reviewing Decisions -- Corporate Knowledge Base -- CONCLUSION Does Decision Analysis Provide a Solution? -- Common Misconceptions about Decision Analysis -- Misconception #1: The decision analysis process is not beneficial because it does not ensure project success -- Misconception #2: Decision analysis adds new levels of bureaucracy -- Misconception #3: Only organizations with mature project management processes can benefit from decision analysis -- Why Do We Believe that the Decision Analysis Process Is Important? -- APPENDIX A Risk and Decision Analysis Software -- APPENDIX B Heuristics and Biases in Project Management -- APPENDIX C Risk Templates -- APPENDIX D Multi-Criteria Decision-Making Methodologies -- GLOSSARY -- FUTURE READING -- REFERENCES -- INDEX. Trumper, Michael https://cds.cern.ch/auth.py?r=EBLIB_P_5254162 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 21 PUBLIC BOOK DELETED 2664055 SzGeCERN 20190321204938.0 9781523097302 electronic version oai:cds.cern.ch:2664055 cerncds:BOOK EBL 5254128 eng 658.4/04 Haugan, Gregory T Project management fundamentals key concepts and methodology 2nd ed. Oakland, CA Berrett-Koehler Publishers 2010 304 p Intro -- Half Title Page -- Title Page -- Copyright -- About the Author -- Dedication -- Table of Contents -- Preface -- Acknowledgments -- Part 1: Introduction and Overview -- The Project Management Body of Knowledge -- Key Concepts of Project Management -- Key Terms -- The Basic Project Management Process -- Related Concepts -- Part 2: The Project Management Methodology -- A. Initiating Stage -- Step 1. Establish Project Objectives -- 1.1. Develop the Statement of Objectives -- 1.2. Define the Deliverables and Their Requirements -- 1.3. Develop the Project Charter -- B. Planning Stage -- Step 2. Define the Work -- 2.1. Develop the Work Breakdown Structure -- 2.2. Prepare a Statement of Work -- 2.3. Prepare the Specification -- Step 3. Plan the Work -- 3.1. Define Activities and Activity Durations -- 3.2. Develop a Logic Network and Schedule -- 3.3. Assign and Schedule Resources and Costs -- 3.4. Develop the Cost Estimate -- 3.5. Establish Checkpoints and Performance Measures -- 3.6. Establish Project Baselines -- 3.7. Develop the Project Plan -- 3.8. Approve the Project Plan -- C. Executing Stage -- Step 4. Perform the Work -- 4.1. Budget and Authorize the Work -- 4.2. Add Staff Resources -- 4.3. Produce Results -- 4.4. Accommodate Change Requests -- Step 5. Communicate and Coordinate the Work -- 5.1. Coordinate the Work -- 5.2. Prepare Progress Reports -- 5.3. Hold Project Reviews -- D. Controlling Stage -- Step 6. Track Actual Performance -- 6.1. Identify Data and Data Sources/Develop Data Collection Systems -- 6.2. Collect and Record the Data -- Step 7. Analyze Project Progress -- 7.1. Identify Variances from the Baseline, and Determine Trends -- 7.2. Perform Analyses, and Determine Whether Corrective Action Is Needed -- Step 8. Initiate Corrective Action -- 8.1. Identify Action Items -- 8.2. Facilitate Corrective Action. 8.3. Reach a Resolution -- Step 9. Incorporate Changes and Replan as Required -- 9.1. Manage Change -- 9.2. Perform Routine Replanning -- 9.3. Renegotiate Scope as Necessary -- E. Closeout Stage -- Step 10. Complete the Project -- 10.1. Prepare a Closeout Plan and Schedule -- 10.2. Get Customer Agreement, and Notify the Team -- 10.3. Archive Project Data -- 10.4. Prepare a Lessons Learned Document -- 10.5. Bill the Customer -- Part 3: Applying the Methodology -- Start-Up Questions-Step 0 -- Applying the Methodology to the Scenarios -- Scenario 1. Direct Assignment from Supervisor or Sponsor -- Scenario 1, Step 0. Project Phase in the Life Cycle -- Scenario 1, Step 1. Establish Project Objectives -- Scenario 1, Step 2. Define the Work -- Scenario 1, Step 3. Plan the Work -- Scenario 2. Direct Assignment from an Organization You Support -- Scenario 2, Step 0. Project Phase in the Life Cycle -- Scenario 2, Step 1. Establish Project Objectives -- Scenario 3. Project Manager-Outsourcing -- Scenario 3, Step 0. Project Phase in the Life Cycle -- Scenario 3, Step 1. Establish Project Objectives -- Scenario 3, Step 2. Define the Work -- Scenario 3, Step 3. Plan the Work -- Scenario 3, Step 4. Perform the Work -- Scenario 3, Step 5. Communicate and Coordinate the Work -- Scenario 3, Step 6. Track Actual Performance -- Scenario 3, Step 7. Analyze Project Progress -- Scenario 3, Step 8. Initiate Corrective Action -- Scenario 3, Step 9. Incorporate Changes and Replan as Required -- Scenario 3, Step 10. Complete the Project -- Scenario 4. Respond to a Solicitation -- Scenario 4, Step 0. Project Phase in the Life Cycle -- Scenario 4, Step 1. Establish Project Objectives -- Scenario 4, Step 2. Define the Work -- Scenario 4, Step 3. Plan the Work -- Scenario 5. Perform to a Contract -- Scenario 5, Step 0. Project Phase in the Life Cycle. Scenario 5, Step 1. Establish Project Objectives, Step 2. Define the Work, and Step 3. Plan the Work -- Scenario 6. Starting a Totally New Program -- Scenario 6, Step 0. Project Phase in the Life Cycle -- Scenario 6, Step 1. Establish Project Objectives -- Scenario 6, Step 2. Define the Work -- Scenario 6, Step 3. Plan the Work -- Scenario 7: Take Over an Ongoing Project -- Scenario 8: Using Agile Project Management -- Scenario 8, Step 0. Project Phase in the Life Cycle -- Scenario 8, Step 1. Establish Project Objectives -- Scenario 8, Step 2. Define the Work, and Step 3. Plan the Work -- Scenario 8, Step 4. Perform the Work -- Part 4: Environmental and Facilitating Elements -- Environmental Elements -- Management Support -- Project Management Software -- Procedures and Directives -- Project Management Maturity -- Facilitating Elements -- Human Resource Management -- Human Resource Management Process -- Organizational Structures -- Project Participants' Roles and Responsibilities -- Risk Management -- Definitions -- Risk Management Process -- Communications Management -- Communications Management Process -- Need for Communication and Coordination -- Principles of Coordination -- Project Procurement Management -- Configuration Management -- Part 5: Agile Project Management -- Overview -- The Origins of Agile Project Management -- Agile Software Development Methodologies -- Adaptive Software Development -- Crystal Clear Software Development -- Dynamic Systems Development Method -- Extreme Programming -- Feature Driven Development -- Lean Software Development -- SCRUM -- Comparing Agile and Traditional Project Management Methodologies -- Appendix A: Management Maturity Models -- Appendix B: Advanced Project Management Concepts for Further Study -- Appendix C: Project and Program Life Cycles -- Appendix D: Types of Projects 341. Appendix E: Project Communications Systems and Networking -- Bibliography -- Index. https://cds.cern.ch/auth.py?r=EBLIB_P_5254128 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 21 PUBLIC BOOK DELETED 2664033 SzGeCERN 20200503232025.0 9781138636606 electronic version electronic version 9781138636606 print version 9781351795388 electronic version electronic version oai:cds.cern.ch:2664033 cerncds:BOOK EBL 5229009 eng GE300 .I566 2018 658.4092 Redekop, Benjamin W Innovation in environmental leadership critical perspectives Milton Routledge 2018 263 p Routledge studies in leadership research Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of illustrations -- List of contributors -- Introduction -- Modern Conceptions of Leadership and the Critical Response -- The Eco-Leadership Paradigm: Critical Leadership Studies Meets Ecology -- Chapter Descriptions -- References -- 1. The Seven Unsustainabilities of Mainstream Leadership -- Introduction -- Defining Leadership and Sustainability -- Insights from Critical Leadership Studies -- The Individualist Mistake -- Assuming Purpose -- Beyond Critical Analysis -- Implications for Sustainable Leadership -- The Seven Unsustainabilities of Leadership -- Seven Recommendations for More Sustainable Leadership -- Conclusions -- Notes -- References -- 2. A Case for Universal Contexts: Intersections of the Biosphere, Systems, and Justice Using a Critical Constructionist Lens -- Introduction -- Critical Theory -- A Critical Constructionist Lens -- The Case for Universal Contexts of Leadership -- Universal Context: The Biosphere -- Universal Context: Systems -- Universal Context: Justice -- Conclusion -- References -- 3. The Eco-Leadership Paradox -- Introduction -- Eco-Leadership in Context -- Eco-Leadership as a Meta-Discourse -- Overcoming the Ideology of "Individualism-More" -- The Paradox -- What Is to Be Done? -- Conclusion -- Notes -- References -- 4. Sustainable Leadership: Toward Restoring the Human and Natural Worlds -- Introduction -- The Crisis of Leadership in the Modern World -- Sustainable Leadership Is Centrally Defined by the Purposes It Serves -- A Brief History of Opportunistic Leadership in Globalized Political Economy -- Sustainable Leadership as a Continuum -- Sustainable Leadership Embodies a Fitting Response to the SocioEcological Challenges Implicated in the Decisions and Actions Taken. Sustainable Leadership Is Integrative and Ultimately Place-Centered -- Everyone Must Have Access to Serve as a Leader -- Leadership Must Be Actively Developed in Everyone in a Sustainable Society -- Sustainable Leadership Engages Imperfectly in Processes of Long-Term Cultural Change -- Conclusions -- Notes -- References -- 5. Eco-Leadership, Complexity Science, and 21st-Century Organizations: A Theoretical and Empirical Analysis -- Introduction -- The Promise of Complexity Science in Leadership Studies -- How Complexity Science Impacts Leadership Studies -- Organizations as Ecological Systems -- Adaptability Becomes the Chief Aim of 21st Century Organizations -- Results and Discussion of Findings -- Low Scoring County 4-H Associations Are More Inwardly Focused and Connected -- High Scoring County 4-H Programs Attribute Success to a Greater Number of Factors -- The Eco-Leader in the 21st Century Organization -- Conclusions and Future Research -- References -- 6. Toward an Understanding of the Relationship Between the Study of Leadership and the Natural World -- Introduction -- Review of Relevant Literature -- The Connection Between Leadership and the Natural World -- The Five Components of Leadership and their Relationship to the Natural World -- The Natural World as a Sixth Component of Leadership -- Conclusion -- References -- 7. The Unseen Revolution: Leadership for Sustainability in the Tropical Biosphere -- Introduction -- Examples of the Unseen Revolution -- Friends for Conservation and Development -- Long Caye at Lighthouse Reef -- The Nature Conservancy -- Belize Natural Energy -- Implications -- Notes -- References -- 8. Heroes No More: Businesses Practice Collaborative Leadership to Confront Climate Change -- Introduction -- The United Nations Global Compact: Transnational Public-Private Partnership. The United Nations Global Compact: Platform for Environmental Leadership -- Caring for Climate -- Responsible Corporate Engagement in Climate Policy -- Responsible Corporate Engagement in Climate Policy: Collective Policy Leadership -- Carbon Pricing Leadership: Collaborative Policy Engagement on a Global Stage -- Lessons from Caring for Climate: Informing a Theory of Collaborative Leadership -- Notes -- References -- 9. Climate Change Leadership: From Tragic to Comic Discourse -- Introduction -- First Generation Climate Leaders: Tragic and Catastrophic Discourse -- Al Gore -- James Hansen -- Bill McKibben -- Contemporary Climate Change Leaders: From Tragic to Comic Discourse -- Narrative Approaches -- Conclusion: Eco-Leadership at the Grassroots -- Interviews -- Notes -- References -- 10. Followers' Self-Perception of Their Role in Addressing Climate Change: A Cultural Comparison -- Introduction -- Survey Themes and Data -- Cultural Context -- Educational Context -- Economic Context -- Media Context -- Relevance of Climate Change to Followers -- Role of Followers in Addressing Climate Change -- Conclusion -- References -- 11. Ending the Drought: Nurturing Environmental Leadership in Ethiopia -- Introduction -- The Impact of a Changing Climate in Ethiopia -- Government Initiatives to Address Climate Change -- Contextual Barriers to Environmental Leadership -- The Way Forward: Changing the Leadership Paradigm in Ethiopia -- Leveraging Cultural Resources for Change -- Adapting Global Leadership Discourses -- Concluding Implications -- References -- 12. We Don't Conquer Mountains, We Understand Them: Embedding Indigenous Education in Australian Outdoor Education -- Acknowledgement -- Introduction -- Getting to Know Each Other -- A Fractured Country that Needs Unity -- The Importance of Connection -- Indigication -- Conclusion -- References. 13. Critical Internal Shifts for Sustainable Leadership -- Introduction -- Levels of Intervention -- Worldviews and Deep Background Assumptions -- Four Worldview Shifts Needed for Sustainable Leaders -- Implications -- What Changes -- References -- 14. From Peril to Possibility: Restorative Leadership for a Sustainable Future -- Introduction -- Methodology -- Emergence of Restorative Leadership -- Restorative Leadership Principles in Practice -- Leadership is an Innate and Universal Capacity -- Awaken and Authorize, Advocate and Empower -- The World is an Interdependent and Integrated Whole -- Take the Long View -- Genius, Goodness, and Generosity Abound -- Ask and Listen, Align and Co-create -- Everything is Possible -- Transform Circumstances to Aligned Momentum -- Conclusion -- References -- Conclusion -- References -- Index. Rigling Gallagher, Deborah Satterwhite, Rian https://cds.cern.ch/auth.py?r=EBLIB_P_5229009 ebook ebook EBL Conservation leadership EBL Environmental management EBL Environmental responsibility EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664032 SzGeCERN 20200503232025.0 9780815375821 electronic version electronic version 9780815375821 print version 9781351238939 electronic version electronic version oai:cds.cern.ch:2664032 cerncds:BOOK EBL 5228972 eng HD30.255 .H644 2018 658.4083 Hoffman, Andrew J Business and the natural environment a research overview Milton Routledge 2018 107 p State of the art in business research Cover -- Title -- Copyright -- Contents -- List of figures -- Acknowledgments -- 1 Introduction -- 2 Contours of an emerging field: historical development of B&NE research -- 3 The field matures: multiple conversations that comprise the B&NE field -- 4 Looking to the future of B&NE research -- 5 Conclusion -- References -- Appendix I: 258 Journals in which B&NE research was published between 1975-2010 -- Appendix II: Representative papers in the B&NE field -- Index. Georg, Susse https://cds.cern.ch/auth.py?r=EBLIB_P_5228972 ebook ebook EBL Business-Environmental aspects EBL Industries-Environmental aspects EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2664013 SzGeCERN 20210421202933.0 9783319686455 electronic version electronic version 9783319686455 print version 9783319686462 electronic version electronic version oai:cds.cern.ch:2664013 cerncds:BOOK EBL 5219505 eng TJ210.2-211.495TJ163 621 Ottaviano, Erika Mechatronics for cultural heritage and civil engineering Cham Springer 2018 372 p ebook Intelligent systems, control and automation : science and engineering 92 Intro -- Preface -- Contents -- 1 Mechatronics in the Process of Cultural Heritage and Civil Infrastructure Management -- Abstract -- Introduction -- Automatic Data Acquisition in Survey, Inspection and Monitoring -- Automatic Data Acquisition for Survey of Cultural Heritage Sites -- Emerging Technologies for Structural Health Monitoring -- Automatic and Robotic Inspection -- 3D Graphic/Numerical Modeling and Information Digital Tools -- Automatic Processing of Data in GIS -- Automatic Data Acquisition for BIM -- Integration of Sensors and Acquired Data in BIM -- Structural Finite Element Model Updating by BIM Data -- Information Processing and Decision-Making -- Techniques for Damage and Defects Detection -- Performance Evaluation -- Decision-Making Procedures -- Conclusions -- References -- Robotics and Automation -- 2 Timed Cellular Automata-Based Tool for the Analysis of Urban Road Traffic Models -- Abstract -- Urban Traffic Theory -- Fundamental Concepts of the Urban Traffic Flow (Traffic Parameters) -- Spatial Average -- Temporal Average -- Traffic Flow and Density -- Models for Simulation of Vehicular Traffic -- Macroscopic Models -- Mesoscopic Models -- Microscopic Models -- Microscopic Models -- Urban Road Traffic Modelling Issues -- Low Complexity Modes -- Model with One Traffic Lane and One Automobile -- Model with One Traffic Lane and Several Automobiles -- Model Using Only Variables to Coordinate the Interactions Between the Automobiles Travelling in a Traffic Lane -- Model Using Functions and Variables to Coordinate the Interactions Between the Automobiles Travelling in a Traffic Lane -- High Complexity Models -- Traffic Lane with Multiple (1, 2, or 3) Possible Traffic Lanes Travelled by Automobiles in a Free Flow -- Conclusions -- References -- 3 Process Analysis of Cable-Driven Parallel Robots for Automated Construction. Abstract -- Introduction and State of the Art -- Conventional Construction Process and Paradigm Changes Through Digitalization and Automation -- Cable Robots for Shell Production -- Modeling and Workspace -- End-Effector Design for Bricking Experiments -- Transformations in Shell Production Through Cable Robots -- Automated Bricking Process and Materials Management -- Site Logistics in Detail -- Operational Transformation -- Economic Case Study -- Discussion and Conclusion -- References -- Design of Reconfigurable Cable-Driven Parallel Robots -- Introduction -- Classes of RCDPRs -- Reconfigurable Elements and Technological Solutions -- Discrete and Continuous Reconfigurations -- Nomenclature for RCDPRs -- Design Strategy for RCDPRs -- Design Problem Formulation -- Global Objective Functions -- Constraint Functions -- Case Study: Design of a RCDPRs for Sandblasting and Painting of a Large Tubular Structure -- Problem Description -- Optimisation Results -- Conclusions -- References -- Distance Geometry in Active Structures -- Introduction -- Position Analysis -- Algebraic Methods -- Numerical Methods -- Singularity Analysis -- Path Planning -- Summary -- References -- 6 New Trends in Residential Automation -- Abstract -- Introduction -- Design Process and Requirements for Buildings and Residential Automation Systems -- Requirements for B&RA Systems -- New Challenges and the Detachment from Industry -- An Anthropocentric Approach to Domotics -- Towards a Systemic Approach to Building and Residential Automation -- Towards a Design Approach to Home Automation: The Requirements Problem -- The Architecture Metaphor -- PSA and the New Design Discipline for B&RA -- A New Proposal for Home Automation Based on Goal-Oriented Requirements -- Case Study with Goal-Oriented Approach -- Conclusions -- References -- Digital Technologies for Cultural Heritage. 7 Digital Technology and Mechatronic Systems for the Architectural 3D Metric Survey -- Abstract -- Introduction -- State of the Art -- Laser Scanner -- Structure from Motion and Multi-view Stereo -- Meshing and Texturing -- Drones -- Case History -- Laser Scanner -- Image-Based 3D Modeling -- Integration of 3D Survey Methodologies -- RPAS-Based Photogrammetry -- Conclusion -- References -- 8 Cultural Heritage Documentation, Analysis and Management Using Building Information Modelling: State of the Art and Perspectives -- Abstract -- Introduction -- Data Acquisition -- Data Processing and Integration -- Parametric Modelling and Semantics -- Measuring the Level of Accuracy -- Data Enrichment and Organization -- Graphic and Alphanumeric Representation -- Sharing -- Conclusion -- References -- 9 3D Survey Systems and Digital Simulations for Structural Monitoring of Rooms at the Uffizi Museum in Florence -- Abstract -- Introduction -- Research Approach and Development of Operational Methodologies -- The Integrated Survey Project -- Data Storage Management for the Post-production Phase -- Computer Data Processing -- Interpretation and Representation of Data -- Digital Models for the Simulation of Static Assessment and Virtual Applications for the Conclusive Survey Results -- Conclusions on the Research Experience -- Credits -- References -- 10 GIS-Based Study of Land Subsidence in the City of Bologna -- Abstract -- Land Subsidence Induced by Groundwater Withdrawal -- Geographic Information Systems (GIS) -- GIS Structure -- Geostatistical Tool Analysis -- Natural Phenomenon and Regionalized Variables -- Instrument for Modeling the Structure of Data -- Estimation -- The Case Study: Subsidence Over the City of Bologna -- Ground Deformation -- Analysis of Settlements -- Conclusions -- References. 11 Infrared Thermography of Walls in Residential Buildings in Historic Workers’ Housing Estates in Upper Silesia -- Abstract -- Introduction -- Infrared Thermography -- Result Analysis -- Conclusion -- References -- Civil Structural Health Monitoring -- 12 Structural Health Monitoring Systems for Smart Heritage and Infrastructures in Spain -- Abstract -- Introduction -- SHM Systems, Damage Assessment and Structural Analysis -- Pathologies and Non-destructive Testing (NDT) Techniques -- Structural Analysis of Heritage Structures -- Structural Health Monitoring in Spain -- Heritage Monitoring Examples: Static Versus Dynamic Monitoring -- Church of Saint Andrew Apostle, Jaén -- Historic Fountain, Alicante -- Conclusions -- Acknowledgements -- References -- Data-Driven Approach to Structural Health Monitoring Using Statistical Learning Algorithms -- Introduction -- Statistical Learning -- Applications of Statistical Learning Algorithms -- Supervised Learning -- Unsupervised Learning -- Conclusions -- References -- Vibration-Based Monitoring of Civil Structures with Subspace-Based Damage Detection -- Introduction -- Subspace-Based Damage Detection -- Dynamic Structural System Model -- Description of the Method -- Robustness to Environmental Nuisances -- Application to a Steel Frame -- Laboratory Test Configuration -- Artificial Damage Detection Tests -- Fatigue Damage Detection Tests -- Application to S101 Bridge in Progressive Damage Test -- The S101 Bridge -- Damage Description -- Measurement Description -- Data Analysis -- Results of Damage Detection -- Conclusions -- Appendix -- References -- Numerical and Experimental Investigations of Reinforced Masonry Structures Across Multiple Scales -- Introduction -- State-of-the-Art in Simulation -- Masonry Modeling -- Multiscale Modeling -- Smooth Hysteretic Modeling. The Hysteretic Multiscale Finite Element Method (HMsFEM) -- The Enhanced Multiscale Formulation (EMsFEM) -- The Hysteretic Multiscale Formulation (HMsFEM) -- Case Study---Polymeric Textiles for Seismic Retrofitting of Masonry -- Numerical---Experimental Characterization of the Composite Structure -- Multiscale Analysis of Textile-Retrofitted Masonry Wall -- Conclusions -- References -- 16 Monitoring and Maintenance of Customized Structures for Underground Environments: The Case of Gran Sasso National Laboratory -- Abstract -- Introduction -- Gran Sasso National Laboratory (LNGS) -- Numerical Modeling of the Experimental Prototypes -- DARKSIDE Experiment -- XENON Experiment -- Dynamic Testing and Structural Monitoring -- Conclusions -- Acknowledgements -- References. EBL201902 Engineering SzGeCERN BOOK Pelliccio, Assunta Gattulli, Vincenzo https://cds.cern.ch/auth.py?r=EBLIB_P_5219505 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2664013 BOOK MIGRATED 2663984 SzGeCERN 20210421202937.0 9781119071600 9781119071617 oai:cds.cern.ch:2663984 cerncds:BOOK SAFARI 9781119071600 eng HD30.28 .B797 2018 658.4/012 Bryson, John M Strategic planning for public and nonprofit organizations a guide to strengthening and sustaining organizational achievement 5th ed. Newark, NJ John Wiley & Sons 2017 507 p ebook Bryson on strategic planning Intro -- TITLE PAGE -- TABLE OF CONTENTS -- LIST OF FIGURES AND EXHIBITS -- Figures -- Exhibits -- PREFACE -- SCOPE -- AUDIENCE -- OVERVIEW OF THE CONTENTS -- COMPANION STRATEGIC PLANNING WORKBOOKS -- ACKNOWLEDGMENTS FOR THE FIFTH EDITION -- THE AUTHOR -- PART ONE: UNDERSTANDING THE DYNAMICS OF STRATEGIC PLANNING -- CHAPTER ONE: Why Strategic Planning Is More Important Than Ever -- DEFINITION, PURPOSE, AND BENEFITS OF STRATEGIC PLANNING -- DEFINITION, PURPOSE, AND BENEFITS OF STRATEGIC MANAGEMENT -- COMPARISONS AND CONTRASTS -- SUMMARY -- CHAPTER TWO: The Strategy Change Cycle: An Effective Strategic Planning and Management Approach for Public and Nonprofit Organizations -- A 10-STEP STRATEGIC PLANNING PROCESS -- TAILORING THE PROCESS TO SPECIFIC CIRCUMSTANCES -- SUMMARY -- PART TWO: KEY STEPS IN THINKING, ACTING, AND LEARNING STRATEGICALLY -- CHAPTER THREE: Initiating and Agreeing on a Strategic Planning Process -- PLANNING FOCUS AND DESIRED IMMEDIATE OUTCOMES -- DESIRED LONGER-TERM OUTCOMES -- GETTING CLEAR ABOUT THE PURPOSE -- DEVELOPING AN INITIAL AGREEMENT -- PROCESS DESIGN AND ACTION GUIDELINES -- HAVE REALISTIC HOPES FOR THE PROCESS -- SUMMARY -- CHAPTER FOUR: Clarifying Organizational Mandates and Mission -- MANDATES -- MISSION -- STAKEHOLDER ANALYSES -- THE MISSION STATEMENT -- PROCESS DESIGN AND ACTION GUIDELINES -- SUMMARY -- CHAPTER FIVE: Assessing the Environment to Identify Strengths, Weaknesses, Opportunities, and Challenges -- PURPOSE -- DESIRED IMMEDIATE OUTCOMES -- LONGER-TERM DESIRED OUTCOMES -- EXTERNAL ENVIRONMENTAL ASSESSMENTS -- INTERNAL ENVIRONMENTAL ASSESSMENT -- THE ASSESSMENT PROCESS -- PROCESS DESIGN AND ACTION GUIDELINES -- SUMMARY -- CHAPTER SIX: Identifying Strategic Issues Facing the Organization -- IMMEDIATE AND LONGER-TERM DESIRED OUTCOMES -- EIGHT APPROACHES TO STRATEGIC ISSUE IDENTIFICATION -- SUMMARY. CHAPTER SEVEN: Formulating and Adopting Strategies and Plans to Manage the Issues -- PURPOSE -- DESIRED IMMEDIATE AND LONGER-TERM OUTCOMES -- THREE APPROACHES TO STRATEGY DEVELOPMENT -- PROCESS DESIGN AND ACTION GUIDELINES -- SUMMARY -- CHAPTER EIGHT: Establishing an Effective Organizational Vision for the Future -- DESIRED IMMEDIATE OUTCOMES AND LONGER-TERM BENEFITS -- AN EXAMPLE -- PROCESS DESIGN AND ACTION GUIDELINES -- SUMMARY -- CHAPTER NINE: Implementing Strategies and Plans Successfully -- PURPOSE AND DESIRED IMMEDIATE AND LONGER-TERM OUTCOMES -- PROGRAMS AND PROJECTS -- THE SPECIAL ROLE OF BUDGETS -- PROCESS DESIGN AND ACTION GUIDELINES -- SUMMARY -- CHAPTER TEN: Reassessing and Revising Strategies and Plans -- PURPOSE AND DESIRED OUTCOMES -- BUILDING A STRATEGIC MANAGEMENT SYSTEM -- PROCESS DESIGN AND ACTION GUIDELINES -- SUMMARY -- PART THREE: MANAGING THE PROCESS AND GETTING STARTED WITH STRATEGIC PLANNING -- CHAPTER ELEVEN: Leadership Roles in Making Strategic Planning Work -- UNDERSTANDING THE CONTEXT -- UNDERSTANDING THE PEOPLE INVOLVED, INCLUDING ONESELF -- SPONSORING THE PROCESS -- CHAMPIONING THE PROCESS -- FACILITATING THE PROCESS -- FOSTERING COLLECTIVE LEADERSHIP (AND FOLLOWERSHIP) -- USING DIALOGUE AND DELIBERATION TO CREATE A MEANINGFUL PROCESS -- MAKING AND IMPLEMENTING DECISIONS IN ARENAS -- ENFORCING PRINCIPLES AND NORMS, SETTLING DISPUTES, AND MANAGING RESIDUAL CONFLICTS -- SUMMARY: PUTTING IT ALL TOGETHER AND PREPARING FOR ONGOING STRATEGIC CHANGE -- CHAPTER TWELVE: Getting Started with Strategic Planning -- THE THREE EXAMPLES REVISITED -- GETTING STARTED -- RESOURCES -- RESOURCE A: A Guide to Stakeholder Identification and Analysis Techniques -- AN ARRAY OF TECHNIQUES -- CONCLUSIONS -- RESOURCE B: Using Information and Communications Technology (ICT) and Social Media in the Strategic Planning Process. ENHANCING ORGANIZATIONAL USE OF TECHNOLOGY -- THE TOOLS -- CONCLUSIONS -- REFERENCES -- NAME INDEX -- SUBJECT INDEX -- END USER LICENSE AGREEMENT. SAF202009 EBLlink deleted Information Transfer and Management SzGeCERN EBL Nonprofit organizations-Management EBL Public administration BOOK https://learning.oreilly.com/library/view/-/9781119071600/?ar ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2663984 BOOK MIGRATED 2663950 SzGeCERN 20210421202943.0 9783319704579 electronic version electronic version 9783319704579 print version 9783319704586 electronic version electronic version oai:cds.cern.ch:2663950 cerncds:BOOK EBL 5210250 eng QE1-996.5QE1-996.5QC 621.4838 Bossart, Paul Mont Terri Rock Laboratory, 20 years two decades of research and experimentation on claystones for geological disposal of radioactive waste Cham Birkhauser Verlag 2017 425 p ebook Intro -- Contents -- Editorial: Mont Terri rock laboratory -- 1 Mont Terri rock laboratory, 20 years of research: introduction, site characteristics and overview of experiments -- 1 Introduction -- 1.1 Objectives of underground rock laboratories -- 1.2 Research in the Mont Terri rock laboratory -- 2 Site characteristics -- 2.1 Regional tectonic setting -- 2.2 Local geology of the Mont Terri rock laboratory -- 2.2.1 Lithofacies -- 2.2.2 Structural relations -- 2.3 Mineralogy of Opalinus Clay -- 2.4 Other key properties of Opalinus Clay -- 3 Thematic overview of experiments -- 3.1 Research topics focussed from 1996 to 2016 -- 3.1.1 Experiments on characteristics, processes and mechanisms in undisturbed claystones -- 3.1.2 Experiments on repository-induced perturbations -- 3.1.3 Experiments related to the demonstration of repository implementation technology -- 3.2 Overview of research and topics presented in the following papers -- 3.2.1 Potential repository evolution -- 3.2.2 The 20 papers and their relation to repository evolution -- 3.2.3 Rock laboratory and performance of geological repository -- Appendix -- References -- 2 Litho- and biostratigraphy of the Opalinus Clay and bounding formations in the Mont Terri rock laboratory (Switzerland) -- 1 Introduction -- 1.1 Outline and aim of this study -- 1.2 Borehole BDB-1 -- 1.3 Geological framework -- 2 Materials and methods -- 3 Lithostratigraphy of the Mont Terri BDB-1 core -- 3.1 Staffelegg Formation (247.50-236.80 m) -- 3.2 Opalinus clay (236.80-106.25 m) -- 3.3 Passwang formation (106.25-37.07 m) -- 3.4 Hauptrogenstein (37.07-0 m) -- 4 Macrofossils and biostratigraphy of the Mont Terri BDB-1 core -- 5 Invertebrate microfossils and biostratigraphy -- 5.1 Results -- 5.1.1 Gross Wolf Member (Staffelegg Formation -- 5.1.2 Opalinus Clay -- 5.1.3 Passwang Formation -- 5.2 Interpretation. 6 Palynomorphs and palynostratigraphy -- 6.1 Results -- 6.2 Interpretation -- 7 Discussion and concluding remarks -- References -- 3 Tectonic evolution around the Mont Terri rock laboratory, northwestern Swiss Jura: constraints from kinematic forward modelling -- 1 Introduction -- 2 Regional geological setting -- 2.1 Inherited Palaeozoic and Paleogene basement structures -- 2.2 Overprint of the Late Miocene-Early Pliocene thin-skinned deformation -- 2.3 Litho- and mechanical stratigraphy -- 3 Observations and existing data -- 3.1 Constraints from the geological map -- 3.2 Constraints from tunnel mapping and drillcore observations -- 4 Methodology -- 4.1 Kinematic forward modelling -- 4.1.1 Methodology and workflow -- 4.1.2 Initial boundary conditions and modelling constraints -- 5 Kinematic forward models -- 5.1 Modelling variables and proposed scenarios -- 5.2 Lateral structural variability -- 5.3 Scenario with classical basal detachment -- 5.3.1 Thrust sequence -- 5.3.2 Folding mechanism -- 5.3.3 Role of inherited basement architecture -- 5.3.4 Shortening estimates -- 5.4 Alternative scenario with duplication of sub-Opalinus Clay formations -- 5.4.1 Thrust sequence -- 5.4.2 Folding mechanism -- 5.4.3 Roles of basement architecture and cross faults -- 5.4.4 Shortening estimates -- 6 Discussion -- 6.1 Mechanical viability -- 6.2 Comparison with field data and improving the kinematic forward models -- 6.3 Kinematic evolution -- 6.4 Open questions and recommendations for future work -- 7 Conclusions -- 7.1 Kinematic evolution -- 7.2 Structural style -- 7.3 Shortening estimates -- 7.4 Mechanical viability -- References -- 4 Tectonic structure of the ''Main Fault'' in the Opalinus Clay, Mont Terri rock laboratory (Switzerland) -- 1 Introduction -- 2 Geological setting -- 3 Materials and methods -- 3.1 Structural mapping of outcrops. 3.2 Microscopic analysis -- 3.3 Seismic characterization of fault zones by means of ultrasonic measurements -- 4 Characteristics of the fault zones in the Mont Terri rock laboratory -- 4.1 Structural elements observed on the Main Fault and microscopic structure -- 4.1.1 Slickensides (and thin shear zones) -- 4.1.2 Fault gouge -- 4.1.3 Scaly clay (microfolds, S-C bands) -- 4.2 Macroscopic structural description of the Main Fault in Ga08 -- 4.2.1 Outcrop in Ga08 Western side (view towards tunnel) -- 4.2.2 Outcrop in Ga08 Eastern side (view towards rock) -- 4.3 Macroscopic structural description of the Main Fault in Ga98 -- 4.3.1 Outcrop in Ga98 Western side (view towards tunnel) -- 4.3.2 Outcrop in Ga98 Eastern side (view towards rock) -- 4.4 Seismic parameter responses of fault zones in Opalinus Clay -- 4.4.1 Borehole BRC-2 -- 4.4.2 Correlation of seismic parameters in response to structural elements -- 5 Interpretation and discussion -- 5.1 Structural elements of the Main Fault -- 5.2 Generic block model of the Main Fault at Mont Terri -- 6 Conclusions -- References -- 5 Comparative study of methods to estimate hydraulic parameters in the hydraulically undisturbed Opalinus Clay (Switzerland) -- 1 Introduction -- 2 Geological setting -- 3 BDB-1 deep borehole -- 4 Techniques for hydraulic parameters evaluation -- 4.1 Petrophysical model -- 4.2 In-situ hydraulic testing experiments -- 4.3 Tidal analysis on pore pressure time series -- 5 Results at various scales of investigation -- 5.1 Sub-millimeter to centimeter scale -- 5.1.1 Petrophysical parameters -- 5.2 Decimeter to meter scale: in situ hydraulic tests results -- 5.3 Hectometer scale: tidal analysis -- 5.3.1 Tidal identification in BDB-1 pore pressure series -- 5.3.2 Hydraulic parameters computation -- 6 Discussion -- 6.1 Comparability of laboratory tests and in situ tests results. 6.2 Consistency with previous results -- 7 Conclusions -- References -- 6 Geochemical signature of paleofluids in microstructures from Main Fault in the Opalinus Clay of the Mont Terri rock laboratory, Switzerland -- 1 Introduction -- 2 Summary of the geological setting -- 3 Sampling and analytical context -- 4 Summary of the available geochemical database -- 5 Discussion -- 5.1 The geochemical information -- 5.2 Summary of the evolution of the Opalinus Clay matrix -- 5.3 Intricacy of the sedimentological evolution of and the geochemical signaturesin the Opalinus Clay -- 5.4 Some pending aspects -- 5.4.1 The variable 87Sr/86Sr signature of the diffuse calcite from undeformed Opalinus Clay matrix -- 5.4.2 Origin of the fluids that precipitated the infillings of the microstructures -- 5.4.3 The water-Opalinus Clay matrix interactions in the scaly clays and around the veins -- 5.4.4 What type of water-rock interactions in the gouges? -- 5.4.5 What origin for the present-day free waters from Opalinus Clay? -- 5.5 The origin of the fluid flows and the timing of their circulation(s) -- 5.6 What can still be improved? -- 6 Conclusions -- References -- 7 Pore-water evolution and solute-transport mechanisms in Opalinus Clay at Mont Terri and Mont Russelin (Canton Jura, Switzerland) -- 1 Introduction -- 2 Pore-water sampling techniques in the Mont Terri rock laboratory: methods and results -- 2.1 Laboratory methods -- 2.2 In-situ sampling of pore-water -- 2.3 Stagnant ground-water at Mont Russelin -- 3 Structural features and petrography of veins -- 4 Isotopic composition of vein infills, whole rocks and current pore-water -- 4.1 Oxygen and carbon isotopes in calcite -- 4.2 Sulphur and oxygen isotopes in celestite and in current pore-water -- 4.3 87Sr/86Sr in calcite, celestite, whole-rock carbonate and in current pore-water -- 5 Discussion. 5.1 Main characteristics of pore-waters -- 5.2 Provenance of pore-waters: evidence from the literature -- 5.3 Regional hydrogeological and hydrochemical evolution -- 5.3.1 Jurassic to Cretaceous (201-66 Ma -- chronostratigraphy according to Cohen et al. 2013) -- 5.3.2 Palaeogene (66-23 Ma) -- 5.3.3 Aquitanian (23-20 Ma) -- 5.3.4 Burdigalian (20-16 Ma) -- 5.4 Partial evaporation of sea-water: a potentialmechanism to rationalise observed pore-water compositions -- 5.5 Scoping calculations exploring pore-waterevolution -- 5.6 Plausibility of a Tertiary component in watersof the low-permeability sequence -- 5.7 Vein infills as records of fluids circulating during the formation of the Jura Foldand Thrust Belt -- 5.7.1 Evidence based on isotopes of SO42-and of the 87Sr/86Sr ratio -- 5.7.2 Temperature of vein formation -- 5.8 Effect of fluid related to vein precipitation on bulk pore-water -- 5.9 Evolution since Jura folding -- 6 Conclusions -- References -- 8 Geomechanical behaviour of Opalinus Clay at multiple scales: results from Mont Terri rock laboratory (Switzerland) -- 1 Introduction -- 2 Opalinus Clay at the Mont Terri Rock laboratory -- 3 Laboratory experiments -- 3.1 The undrained shear strength of Opalinus Clay -- 3.2 The influence of suction on the strength and stiffness of Opalinus Clay -- 3.3 Study on consolidated undrained (CU) and consolidated drained (CD) tests -- 4 In-situ experiments -- 4.1 Time-dependent evolution of the damage zone around a borehole -- 4.2 EDZ evolution around Gallery 04 and the EZ-B niche -- 4.2.1 Macroscopic EDZ fracturing around Gallery 04 -- 4.2.2 Macroscopic and microscopic EDZ fracturing around the EZ-B niche -- 4.3 EDZ evolution around Gallery 08 -- 4.3.1 Structural and kinematic relationship between natural and excavation-induced fractures. 4.3.2 Spatial and temporal evolution of the excavation-induced displacement field. EBL201902 SzGeCERN Engineering EBL Clay-Switzerland-Terri, Mont-Testing EBL Radioactive waste disposal in the ground-Environmental aspects-Switzerland-Terri, Mont BOOK Milnes, Alan Geoffrey Swiss J. Geosci., Suppl. 5 https://cds.cern.ch/auth.py?r=EBLIB_P_5210250 ebook 201902 n 201908 21 PUBLIC https://catalogue.library.cern/legacy/2663950 BOOK MIGRATED 2663938 SzGeCERN 20210421202945.0 9781780525204 electronic version electronic version 9781780525204 print version 9781780525211 electronic version electronic version oai:cds.cern.ch:2663938 cerncds:BOOK EBL 5208669 eng HD30.28 .A273 2012 658.4012 Abraham, Stanley C Strategic planning a practical guide for competitive success 2nd ed. Bingley Emerald Publishing 2012 268 p ebook Front Cover -- Strategic Planning: A Practical Guide for Competitive Success -- Copyright Page -- Contents -- Preface -- The Approach of the Book -- The Three Limitations of This Book -- Acknowledgments -- Part I: A Strategic Analysis Model - That Works -- 1. Defining Key Strategic Terms -- 1.1. Definitions of Strategy: The Persuasive Ones -- 1.2. Definitions Used in This Book -- 1.3. Summary -- 2. Strategic Thinking -- 2.1. How to Be Different -- 2.1.1. The Strategy Canvas -- 2.1.2. The Four-Action Framework -- 2.2. Being Entrepreneurial -- 2.3. How to Find More Opportunities -- 2.4. Being Future-Oriented -- 2.4.1. Scenario Planning -- 2.4.2. Future Mapping -- 2.5. Whether to Be Collaborative -- 2.5.1. Strategic Alliances, Acquisitions, and Mergers -- 2.5.2. Collaborating with Customers -- 2.5.3. Competing for Customers' Time and Attention -- 2.6. Manifestations of Strategic Thinking -- 2.7. Summary -- Part II: The Strategic-Planning Process -- 3. Analyzing the External Environment -- 3.1. Industry Analysis -- 3.1.1. Dominant economic characteristics of an industry -- 3.1.2. Industry driving forces -- 3.1.3. Bargaining power of buyers and suppliers -- 3.1.4. Entry barriers -- 3.1.5. Industry concentration -- 3.1.6. Critical success factors -- 3.1.7. Industry attractiveness -- 3.1.8. Strategic Group Map -- 3.2. Competitive Analysis -- 3.3. Market Analysis -- 3.4. Environmental Trend Analysis -- 3.5. Summary -- 4. Assessing the Company Itself -- 4.1. Financial Analysis -- 4.2. SWOT Analysis -- 4.2.1. Identifying Strengths and Weaknesses -- 4.2.2. Opportunities -- 4.2.3. Threats -- 4.3. Core Competence and Competitive Advantage -- 4.4. Other Analytical Tools -- 4.4.1. Competitive Strength -- 4.4.2. SPACE Analysis -- 4.5. Corporate Culture -- 4.6. Management and Leadership Capabilities -- 4.7. Organizational Values -- 4.8. Summary. 5. Creating Strategic Alternatives - then Choosing the Best One -- 5.1. Identifying Key Strategic Issues -- Bundles -- 5.2. Creating Strategic Alternatives -- 5.2.1. Obstacles to Creating Strategic Alternatives -- Greedy CEOs -- 5.2.2. What Is a Strategic Alternative? -- 5.2.3. How Are Strategic Alternatives Created? -- Department-Specific Strategic Planning? -- Comparative Lit -- 5.3. Creating Strategic Alternative Bundles -- 5.3.1. Closing the Loop with Strategic Issues -- 5.4. Recommending the Best Choice -- 5.4.1. Establish Criteria -- Other Criteria -- 5.4.2. Apply the Criteria -- Summary -- 6. Proposing Recommendations -- 6.1. Setting Objectives -- 6.2. Identifying Major Programs -- 6.3. Contingency Planning -- 6.3.1. Triggers -- 6.3.2. Contingencies -- 6.4. Crafting Mission and Vision Statements -- 6.4.1. Mission Statements -- 6.4.2. Vision Statements -- Summary -- Part III: Doing Strategic Planning -- 7. Managing the Strategic-Planning Process -- 7.1. Setting up the Process -- 7.1.1. Deciding to Do Strategic Planning -- 7.1.2. Whose Responsibility Is It? -- 7.1.3. Choosing the Process -- 7.2. A Suggested Strategic-Planning Process -- 7.3. Questions for Improving the Process -- 7.4. Summary -- 8. Operational Planning and Implementation -- 8.1. Identifying Strategic Programs -- 8.2. Six Pointers for Smoother Implementation -- 8.3. Summary -- 9. Ten Benefits of Effective Strategic Planning -- 9.1. Some Questions to Ponder -- 9.2. Summary -- Appendix A. Some Definitions of Strategy -- A.1. Strategic Management Textbooks -- A.2. Trade Books and Journal Articles -- A.3. Individual Strategists -- A.4. Dictionary Definitions -- Appendix B. Guidelines for Using the SAMtw Software -- B.1. SAMtw as a Tool for Strategic Inquiry -- B.2. Using SAMtw on Your Computer -- B.3. Minimum Requirements for Using SAMtw -- B.3.1. System and Software Requirements. B.3.2. Feedback -- Appendix C. The Strategic-Planning Process of Cal Poly Pomona's Computer Information Systems (CIS) Department -- C.1. Mission Statement -- C.2. About the Organization -- C.3. Background -- C.4. The Strategy-Formulation Process -- C.4.1. Stage 1: Preplanning -- C.4.2. Stage 2: Meeting Logistics -- C.4.3. Stage 3: Adoption of Model and Design of Retreat -- C.4.4. Stage 4: The Retreat -- C.4.5. Stage 5: Bundle Composition -- C.4.6. Stage 6: Rating the Bundles (1) -- C.4.7. Stage 7: Scenarios De.nition -- C.4.8. Stage 8: Rating the Bundles (2) -- C.4.9. Stage 9: Scenarios' Champions -- C.4.10. Stage 10: Rating the Bundles (3) -- Bundle 1 Align Closer with Industry Needs -- Bundle 2 Stress Graduate Education -- Bundle 3 Innovate in the Delivery of Content -- Bundle 4 Improve Quality of Undergraduate Students -- C.4.11. Stage 11: Development Plan -- C.5. Planning Horizon -- C.6. Implementation -- C.7. Summary -- C.8. Postscript -- Glossary -- About the author -- Company Index -- Name Index -- Subject Index. This book is exceptional treatise on strategic planning for single-business companies that is at once academically rigorous and uncommonly practical. EBL201902 Information Transfer and Management SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5208669 ebook n 201908 21 PUBLIC https://catalogue.library.cern/legacy/2663938 BOOK MIGRATED 2663936 SzGeCERN 20200503232025.0 9780566088179 electronic version electronic version 9780566088179 print version 9781317187950 electronic version electronic version oai:cds.cern.ch:2663936 cerncds:BOOK EBL 5208253 eng HD2741 .H363 2016 658.4 Aras, Güler A handbook of corporate governance and social responsibility London Routledge 2010 729 p Corporate social responsibility Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- List of Figures -- List of Tables -- About the Editors -- About the Contributors -- 1 Overview -- PART I THEORETICAL OVERVIEW -- 2 A Luhmannian in the Playground: Corporate Social Responsibility from a Systems-Theoretic Perspective -- 3 What is 'Good' Corporate Governance? -- 4 Redefining Sustainability -- 5 The Social Contract of Business in Society -- 6 The Shifting Meaning of Sustainability -- 7 Corporate Social Responsibility and Accounting -- 8 Responsible Practices in Small and Medium Enterprises -- PART II APPLYING CORPORATE GOVERNANCE -- 9 Trends in Corporate Governance -- 10 Corporate Governance - Responsibilities of the Board -- 11 Shareholder Rights and Stakeholder Rights in Corporate Governance -- 12 The Regulatory and Legal Framework of Corporate Governance -- 13 The Agency Problem and Corporate Governance -- 14 Auditing, Product Certification and Corporate Social Responsibility -- 15 Decisive Risk Management for Corporate Governance -- 16 Corporate Social Responsibility: A Broader View of Corporate Governance -- PART III APPLYING CORPORATE SOCIAL RESPONSIBILITY -- 17 The Social Responsibility of Major Shareholders -- 18 External Agencies and Corporate Social Responsibility -- 19 How Globalization is Affecting Corporate Social Responsibility: Dynamics of the Interaction Between Corporate Social Responsibility and Globalization -- 20 Responsibility and Performance: Social Actions of Firms in a Transitional Society -- 21 Feasibility of Corporate Social Responsibility Activities Practiced by SME's in Uzbekistan: A Stakeholders' Perspective -- 22 Education for Ethics and Socially Responsible Behaviour -- 23 Socially Responsible Investment Funds -- 24 Corporate Reporting Frameworks -- 25 Corporate Reputation and Corporate Social Responsibility. 26 Corporate Social Responsibility Rating -- PART IV DEALING WITH STAKEHOLDERS -- 27 Business and Environmental Responsibility -- 28 Corporate Social Responsibility in the Creation of Shareholder Value -- 29 Employer Duties -- 30 Whistleblowing: Perennial Issues and Ethical Risks -- 31 Framing the Social Responsibility of Business: The Role of Pressure Groups - Paradigmatic Feuds -- 32 Corporate Environmental Responsibility From the Perspective of Systematic and Dialectical Science -- 33 Why People Do Good: Promoting Responsible Behaviours: The Myth or Reality of Persuasion in Fundraising Letters -- PART V EXPERIENCE IN PRACTICE -- 34 Royal Ahold: The Role of Corporate Governance -- 35 Embedding Corporate Social Responsibility into the Day-to-Day Life of Organisations: A Practical System Thinking Approach -- 36 Istiqbol Dilnoza: A Corporate Social Responsibility Study of a Micro/Small Business in Tashkent -- 37 Lessons Learned from Washington State's Sustainable Business Program -- 38 Esh Added Value: A Case Study in Indigenous Corporate Social Responsibility -- 39 A Case Study on the Tobacco Industry, Social Responsibility and Regulation -- Index. Crowther, David https://cds.cern.ch/auth.py?r=EBLIB_P_5208253 ebook ebook EBL Corporate governance EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 21 PUBLIC BOOK DELETED 2663903 SzGeCERN 20210421202949.0 9783319705712 electronic version electronic version 9783319705712 print version 9783319705729 electronic version electronic version oai:cds.cern.ch:2663903 cerncds:BOOK EBL 5191636 eng TS1-2301TD1-1066QD55 621.312423 Kwade, Arno Recycling of lithium-ion batteries the lithorec way Cham Springer 2017 312 p ebook Sustainable production, life cycle engineering and management Intro -- Series Editors' Foreword -- Preface -- Contents -- List of Figures -- List of Tables -- 1 Background -- Abstract -- 1.1 Introduction -- 1.2 Introduction into Lithium-Ion Batteries -- 1.2.1 Liquid Nonaqueous Electrolytes -- 1.2.2 Negative Electrodes in Rechargeable Lithium Batteries -- 1.2.3 Positive Electrodes -- 1.3 Industrial Production of Lithium-Ion Cells and Modules -- 1.3.1 Cell Design -- 1.3.2 Electrode Fabrication -- 1.3.3 Cylindrical Cell Fabrication -- 1.3.4 Prismatic and Pouch Cell Fabrication -- 1.3.5 Cell Formation -- 1.3.6 Battery System Manufacturing -- 1.4 Recycling of Lithium-Ion Batteries -- 1.4.1 Introduction -- 1.4.2 Overview of Selected Lithium-Ion Battery Recycling Technologies -- References -- 2 The LithoRec Process -- Abstract -- 2.1 Objectives and Results of LithoRec -- 2.2 Objectives and Project Progression of LithoRec II -- 2.3 The LithoRec Process Chain -- References -- 3 Potential Dangers During the Handling of Lithium-Ion Batteries -- Abstract -- 3.1 Hazard Potential of Lithium-Ion Batteries -- 3.1.1 Electrical Hazard -- 3.1.2 Fire- and Explosion Hazard -- 3.1.3 Chemical Hazard -- 3.2 Interaction of Hazards -- 3.3 Conclusion -- References -- 4 Overdischarging Lithium-Ion Batteries -- Abstract -- 4.1 Introduction -- 4.1.1 Overdischarging Batteries in the Literature -- 4.1.2 Motivation for Studying Overdischarging in LithoRec -- 4.1.3 Individual Process Steps of Overdischarging in LithoRec Recycling -- 4.1.4 Focus of the Research -- 4.2 The Basics of Overdischarging Lithium-Ion Batteries -- 4.2.1 Definition of Overdischarging -- 4.2.2 Electrochemical Basis -- 4.2.3 Electrical Basis of Overdischarging -- 4.2.4 Criteria for Description and Selection of Overdischarging Processes -- 4.3 Investigated Batteries and Devices for Overdischarging -- 4.3.1 Battery Cells, Modules, and Systems Tested. 4.3.2 Applied Devices and Measuring Setup for Overdischarging -- 4.3.3 Experimental Setup and Research Questions -- 4.4 Results and Discussion -- 4.4.1 Investigations Related to the Functional Behavior and Applicability of the Discharger -- 4.4.2 Investigation of Battery Behavior in Cases of Overdischarging, Pole Reversal, Short Circuit and Voltage Relaxation -- 4.5 Summary and Outlook -- References -- 5 Disassembly Planning and Assessment of Automation Potentials for Lithium-Ion Batteries -- Abstract -- 5.1 Introduction -- 5.2 State of the Art on Planning of Disassembly Systems -- 5.3 Disassembly System for Li-Ion Traction Batteries: Experimental Analysis, Planning and Assessment of Automation Potentials -- 5.3.1 Product Analysis -- 5.3.2 Determination of Disassembly Sequences -- 5.3.3 Assessment of Automation Potentials and Concepts for Automated Disassembly -- 5.3.4 Classification of Disassembly Sequences -- 5.4 Summary -- References -- 6 Safe, Flexible and Productive Human-Robot-Collaboration for Disassembly of Lithium-Ion Batteries -- Abstract -- 6.1 Introduction -- 6.2 Background -- 6.2.1 Technologies and Applications for Safe Human Robot Collaboration -- 6.2.2 Technologies for Automated Disassembly -- 6.3 Requirements for the Development of Human Robot-Collaboration Systems -- 6.3.1 Robot Acceptance -- 6.3.2 Safety Requirements and Risk Assessment -- 6.3.3 Economic Efficiency -- 6.3.4 Control Architecture and Interoperability -- 6.4 Human Robot Collaboration for Disassembly of Lithium-Ion Battery Systems -- 6.4.1 Disassembly Steps and Requirements for Human Robot Collaboration -- 6.4.2 Layout Concept -- 6.4.3 Tool Development -- 6.4.4 Sensor Technology and Control Algorithms -- 6.4.5 Intuitive Human-Machine Interfaces -- 6.5 Results and Discussion -- 6.5.1 Robot Based Unscrewing -- 6.5.2 Gesture Control. 6.5.3 Object Recognition and Localization -- 6.5.4 Demonstrator -- 6.6 Conclusion and Outlook -- References -- 7 Crushing of Battery Modules and Cells -- Abstract -- 7.1 Purpose of Crushing and Basic Technologies -- 7.2 Input Material -- 7.3 Requirements on Safe Crushing -- 7.3.1 Hazards Generated by Chemical Reactions -- 7.3.2 Gas Release During Crushing -- 7.3.3 Influence of Different Crushing Mechanisms -- 7.4 Design of a Crusher for Lithium-Ion Battery Modules -- References -- 8 Separation of the Electrolyte-Thermal Drying -- Abstract -- 8.1 Introduction -- 8.2 Flow Sheet Simulation of the Drying Process -- 8.2.1 Setup of the Simulation -- 8.2.2 Sensitivity Study of Parameters Related to the Drying Process -- 8.3 Experimental Investigation on Thermal Drying of Battery Fragments -- 8.3.1 Small Scale Experiments -- 8.3.2 Pilot Scale -- 8.4 Conclusions -- 8.4.1 Transferability of Simulation Results on Experiments -- 8.4.2 Recommendations for the Design of a Drying Process -- 8.4.3 Further Research Needs and Outlook -- References -- 9 Separation of the Electrolyte-Solvent Extraction -- Abstract -- 9.1 Introduction -- 9.2 Basics for the Extraction of Electrolyte Compounds -- 9.2.1 Battery Material and Electrolyte Composition -- 9.2.2 Experimental Setup -- 9.3 Experimental Progress and Transfer to Process Design -- 9.3.1 Single-Stage Extractions -- 9.3.2 Multi-Stage Extractions -- 9.3.3 Single-Stage Extractions with Water -- 9.3.4 Multi-Stage Extractions with DMC and Water -- 9.3.5 Degradation of Fluoride-Containing Compounds -- 9.3.6 Extraction of Organic Carbonates -- 9.3.7 Modelling of the Multi-Stage Extractions with DMC -- 9.3.8 Number of Necessary Extractions Stages and Specific Solvent Demand -- 9.4 Conclusions -- 9.4.1 Summary -- 9.4.2 Remarks for the Design of an Extraction Plant -- 9.4.3 Further Research Needs and Outlook -- References. 10 Electrolyte Extraction-Sub and Supercritical CO2 -- Abstract -- 10.1 Introduction -- 10.2 Static Electrolyte Extraction by Supercritical CO2 -- 10.3 Dynamic Electrolyte Extraction by Sub- and Supercritical CO2 -- 10.4 Supporting Electrolyte Extraction Additives -- 10.5 Analysis of the Extracted Electrolytes -- 10.6 Conclusion -- References -- 11 Off Gas Cleaning by Adsorption -- Abstract -- 11.1 Introduction -- 11.2 Experimental Procedure -- 11.2.1 Materials -- 11.2.2 Preparation of Batch Samples -- 11.2.3 Fixed Bed Experiments -- 11.3 Calculation Methods -- 11.3.1 Single Component Isotherms -- 11.3.2 Multi-component Isotherms -- 11.3.3 Breakthrough Time -- 11.3.4 Decomposition -- 11.4 Adsorption Equilibria of Electrolyte Components on Activated Carbon -- 11.4.1 Single-Component Adsorption Equilibria of DMC, EMC, Methanol and Ethanol -- 11.4.2 Two Component Equilibria -- 11.4.3 Off Gas Cleaning with Fixed Bed Adsorption -- 11.5 Decomposition of Electrolyte Components on Activated Carbon -- 11.5.1 Main Influences on Decomposition -- 11.5.2 Decomposition During Fixed Bed Adsorption -- 11.6 Conclusions -- 11.6.1 Recommendations for Designing the Adsorption Process -- 11.6.2 Further Research Needs and Outlook -- References -- 12 Material Separation -- Abstract -- 12.1 Introduction -- 12.2 Characterization of the Input Material -- 12.3 Recovery of the Heavy Parts (1st Air-Classification) -- 12.4 Recovery of the Coating Materials and Process Influences -- 12.5 Separation of Current Collector Foils and Separator (2nd Air-Classification) -- 12.6 Products of the Separation Processes -- 12.7 Separation of Cu and Al Foil -- 12.8 Conclusion -- References -- 13 Hydrometallurgical Processing and Thermal Treatment of Active Materials -- Abstract -- 13.1 Recycling of the Cathode Material -- 13.2 Recycling of the Anode Material. 13.2.1 Analytical Characterization of Recycled Graphite -- References -- 14 Realization in a Demonstration Plant -- Abstract -- 14.1 Design of the Demonstration Plant -- 14.1.1 Discharge -- 14.1.2 Disassembly -- 14.1.3 Crushing -- 14.1.4 Separation of the Electrolyte -- 14.1.5 Material Separation -- 14.1.6 Sieving -- 14.2 Operating Cycle -- 14.3 Safety Concept -- 15 Economic Assessment of the LithoRec Process -- Abstract -- 15.1 Introduction -- 15.2 Drivers of Economic Performance -- 15.3 Optimization Model for Technology and Capacity Planning -- 15.4 Data and Scenarios for Model-Based Analysis -- 15.5 Results from Model Application -- 15.6 Managerial Implications and Conclusions -- References -- 16 Environmental Aspects of the Recycling of Lithium-Ion Traction Batteries -- Abstract -- 16.1 Introduction -- 16.2 Environmental Relevance of the Recycling of Traction Batteries -- 16.2.1 Recycling Avoids the Impact Caused by Non-material-Recovery End-of-Life Activities -- 16.2.2 Recycling Avoids the Impact of Producing Virgin Material -- 16.2.3 The Impact of Recycling Activities -- 16.3 Environmental Characterization of the LithoRec Process -- 16.3.1 Energy and Material Flow Modeling -- 16.3.2 Environmental Assessment of the LithoRec Process -- 16.4 Discussion and Conclusions -- References. EBL201902 Engineering SzGeCERN BOOK Diekmann, Jan https://cds.cern.ch/auth.py?r=EBLIB_P_5191636 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2663903 BOOK MIGRATED 2663898 SzGeCERN 20210421202949.0 9783319699066 electronic version electronic version 9783319699066 print version 9783319699073 electronic version electronic version oai:cds.cern.ch:2663898 cerncds:BOOK EBL 5191320 eng TK7888.4TK7895.M4TK7 004.5 Coughlin, Thomas M Digital storage in consumer electronics 2nd ed. Cham Springer 2017 255 p ebook Intro -- Dedication -- Preface to the Second Edition -- Acknowledgments -- Contents -- About the Author -- Chapter 1: Introduction -- 1.1 Objectives in this Chapter -- 1.2 The Growth of Consumer Electronics -- 1.3 Many Types of Memory -- 1.4 Growth in Digital Content Drives Storage Growth -- 1.5 Economics of Consumer Devices -- 1.5.1 Consumer Product Price and Demand -- 1.5.2 Cost Markups in the Retail Sales Channel -- 1.5.3 New Opportunities for Electronic Integration -- 1.6 Rules for Design of Digital Storage in Consumer Electronics -- 1.7 Classification of Devices Using Storage in the Home -- 1.8 Consumer Electronic Storage Hierarchies -- 1.8.1 Digital Memory for Device Process Execution -- 1.8.2 Mobile Device Consumer Electronic Storage Hierarchy -- 1.8.3 Static Device Consumer Electronic Hierarchy -- 1.9 Multiple Storage and Hybrid Storage Devices -- 1.9.1 Multiple Storage Format Consumer Devices -- 1.9.2 Hybrid Storage Devices -- 1.10 Chapter Summary -- Chapter 2: Fundamentals of Hard Disk Drives -- 2.1 Objectives in This Chapter -- 2.2 History of Hard Disk Drives -- 2.3 Hard Disk Magnetic Recording Basics -- 2.4 How Data Is Organized on a Hard Disk Drive -- 2.5 Hard Disk Drive Performance and Reliability -- 2.6 Hard Disk Drive Design for Mobile and Static CE Applications -- 2.7 The Cost of Manufacturing a Hard Disk Drive -- 2.8 Disk Drive External Interfaces -- 2.9 Hard Disk Drive Technology Development -- 2.10 Chapter Summary -- Chapter 3: Fundamentals of Optical Storage -- 3.1 Objectives in this Chapter -- 3.2 Optical Disc Technologies -- 3.3 Basic Operation of an Optical Disc Drive -- 3.4 How Data is Organized on an Optical Disc -- 3.5 Optical Disc Form Factors -- 3.6 Optical Disc Reliability -- 3.7 Holographic Recording -- 3.8 Optical Disc Storage Development -- 3.9 Chapter Summary. Chapter 4: Fundamentals of Flash Memory and Other Solid-State Memory Technologies -- 4.1 Objectives in this Chapter -- 4.2 Development and History of Flash Memory -- 4.3 Erasing, Writing, and Reading Flash Memory -- 4.4 Difficulties that Cause "Wear" in Flash Memory -- 4.5 Common Flash Memory Storage Technologies: NOR and NAND -- 4.5.1 How Does NOR Memory Work? -- 4.5.2 How Does NAND Memory Work? -- 4.6 Bit Errors in NAND Flash -- 4.7 Managing Wear in NAND and NOR -- 4.8 Bad Block Management -- 4.9 Embedded Versus Removable NAND Flash -- 4.10 Flash Memory File Systems -- 4.11 Single-Level Cell and Multilevel Cell Flash Memory -- 4.12 Stacking Die to Achieve Higher Storage Capacity -- 4.13 Trade-Offs with Multilevel Flash Memory -- 4.14 Types of Flash Memory Used in CE Devices -- 4.15 Flash Memory Environmental Sensitivity -- 4.16 Using Memory Reliability Specifications to Estimate Product Lifetime -- 4.17 Flash Memory Cell Lifetimes and Wear-Leveling Algorithms -- 4.18 Predicting NAND Bit Errors Based upon Worst-Case Usage -- 4.19 Flash Memory Format Specifications and Characteristics -- 4.19.1 CompactFlash (CF) and Related Card Formats -- 4.19.2 Multimedia Cards (MMC) -- 4.19.3 Secure Digital (SD) Cards -- 4.20 Flash Memory and Other Solid-State Storage Technology Development -- 4.20.1 Road Map for Flash Memory Development -- 4.20.2 Expected Growth in Storage Capacity for Flash Memory -- 4.20.3 Expected Change in Cost per GB of Flash Memory -- 4.20.4 Other Solid-State Storage Technologies -- 4.21 Chapter Summary -- Chapter 5: Storage in Home Consumer Electronic Devices -- 5.1 Objectives in this Chapter -- 5.2 Personal Video Recorders or Digital Video Recorders -- 5.2.1 Basic Layout and Design of Digital Video Recorders -- 5.2.2 Digital Video Storage Requirements and DVR Storage Design -- 5.2.3 External Direct-Attached Storage for DVRs. 5.2.4 Network-Attached Storage for DVRs -- 5.2.5 Digital Video Recording Developments -- 5.3 Smart TVs and IP Set-Top Boxes -- 5.4 Fixed and Mobile Game Systems -- 5.5 Home Media Center and Home Network Storage -- 5.5.1 Basic Layout of Media Center Devices -- 5.5.2 Home Networking Requirements for Media Centers -- 5.5.3 Home Media Centers and the Internet -- 5.5.4 Future Media Center Capability -- 5.5.5 Faster Organization and Content Search in Home Media Centers -- 5.5.6 The Future of Home Media Content Access -- 5.5.7 Backing up and Disaster Recovery for Home Media Centers -- 5.5.8 High-Resolution Content for the Home -- 5.6 Chapter Summary -- Chapter 6: Storage in Automotive and Mobile Consumer Electronic Devices -- 6.1 Objectives in this Chapter -- 6.2 Automotive Consumer Electronics Storage -- 6.2.1 Digital Storage for the Automobile -- 6.2.2 Basic Layout of an Automobile Infotainment System -- 6.2.3 Storage Device Trade-Offs and Options for the Automobile -- 6.2.4 Road Map for Automobile Digital Storage Requirements -- 6.3 Mobile Consumer Devices -- 6.3.1 Mobile Consumer Electronic Designs -- 6.3.1.1 Mobile Media Player -- 6.3.2 Smartphones -- 6.3.3 Electronic Tablets -- 6.3.4 The Vision of Convergence Devices -- 6.3.5 Smart Watches, Jewelry, and Clothing -- 6.4 Cameras and Camcorders -- 6.4.1 Layout of a Digital Still Camera -- 6.4.2 Layout of a Digital Video Camera -- 6.4.3 Storage Requirements for Digital Camcorders -- 6.4.4 Road Maps for Camcorder Digital Storage -- 6.5 Other Consumer Devices -- 6.5.1 Mobile Game Systems -- 6.5.2 Handheld Navigation Devices -- 6.5.3 Other Mobile Applications -- 6.6 Chapter Summary -- Chapter 7: Developments in Mobile Consumer Electronic Enabling Technologies -- 7.1 Objectives in this Chapter -- 7.2 Display Technologies in Mobile Devices -- 7.2.1 Mobile Device Displays -- 7.2.2 Color -- 7.3 Mobile Power. 7.3.1 Safety -- 7.3.2 Other Requirements -- 7.4 Consumer Metadata -- 7.5 Voice and Image Recognition -- 7.6 Chapter Summary -- Chapter 8: Integration of Storage in Consumer Devices -- 8.1 Objectives in this Chapter -- 8.1.1 Storage Costs in Consumer Product Design -- 8.2 Development of Common Consumer Functions -- 8.2.1 DVR as a Standard Consumer Function -- 8.2.2 Cameras as a Standard Consumer Function -- 8.2.3 GPS Location Services as a Standard Consumer Function -- 8.2.4 Network Connectivity as a Standard Consumer Function -- 8.3 Intelligence of Digital Storage in Consumer Electronics -- 8.3.1 Security Providers -- 8.3.2 Object-Based Storage -- 8.3.3 USB-Run Software Applications -- 8.4 Matching Storage to Different Applications -- 8.5 The Convergence of Electronics: When the Storage Becomes the Device or Was It the Other Way Around? -- 8.6 Road Maps for CE Application Integration in Storage Devices -- 8.6.1 Single Storage Device Application Integration -- 8.6.2 Multiple Storage Device Application Integration -- 8.6.3 Chapter Summary -- Chapter 9: Home Network Storage, the Cloud and the Internet of Things -- 9.1 Objectives in this Chapter -- 9.2 What Drives Home Networking Trends? -- 9.3 Networking Options in the Home -- 9.4 Push Vs. Pull Market for Home Networks -- 9.5 Home Networks for Media Sharing -- 9.6 Home Networks for Home Reference Data Backup -- 9.7 The Home Internet of Things -- 9.8 Projections for Home Network Storage -- 9.9 Design of Network Storage Devices -- 9.10 Advanced Home Storage Virtualization -- 9.11 Home Network Storage and Content Sharing Within the Home -- 9.12 Privacy, Content Protection, and Sharing in Home Network Storage -- 9.13 Chapter Summary -- Chapter 10: The Future of Home Digital Storage -- 10.1 Objectives in This Chapter -- 10.2 Digital Storage Requirements for Home Data Sharing and Social Networking. 10.2.1 Storage Capacity Requirements for Single-Use Devices -- 10.2.2 A Model Home for Data Sharing -- 10.2.3 Storage Capacity Requirements for Home Content Sharing Using Single-Purpose Devices -- 10.2.4 Extension of the Content Sharing Model to a Larger Network -- 10.3 Integrated Multiple-Purpose Devices Vs. Dedicated Devices -- 10.4 Physical Content Distribution Vs. Downloads and Streaming -- 10.5 Personal Memory Assistants -- 10.6 Digital Storage in Everything -- 10.7 Home Storage Utility: When All Storage Devices Are Coordinated -- 10.8 Digital Storage in Future Consumer Electronics -- 10.9 Projections for Storage Demands in New Applications -- 10.10 Digital Storage as Our Cultural Heritage -- 10.11 Chapter Summary -- Chapter 11: Standards for Consumer Electronic Storage and Appendices -- 11.1 Digital Storage Standards -- 11.1.1 ANSI T13 Committee -- 11.1.2 CE-ATA Standard -- 11.1.3 Serial ATA (SATA) and eSATA Standards -- 11.1.4 Thunderbolt -- 11.1.5 NVMe -- 11.1.6 UFS -- 11.1.7 Open NAND Flash (ONFI) Standard -- 11.1.8 Flash Card Standards -- Trusted Computing Group Standards -- 11.2 Consumer Product Standards -- 11.2.1 UHAPI -- 11.2.2 DLNA -- 11.2.3 OSGi Alliance -- 11.2.4 Some Additional DRM Standards -- 11.3 Home Networking Standards -- 11.3.1 Bluetooth -- 11.3.2 CableHome -- 11.3.3 DOCSIS -- 11.3.4 IEEE 1394 -- 11.3.5 WirelessHD, WHDI, and WiGig -- 11.3.6 IEEE 802 -- CableLabs Video Specification -- 11.3.7 PacketCable -- 11.3.8 Voice Over IP -- 11.3.9 Universal Plug and Play -- 11.4 Needed Standards for Future Consumer Electronic Development -- 11.4.1 Proposal for Open Standards for Storage Integration Into Consumer Electronics -- 11.4.2 Standards for Personal Content Metadata and Organization of Personal Content -- 11.4.3 Standards for Virtualization of Consumer Storage and the Creation of a Home Storage Utility. Appendix A. Home Networking Technology Trade Groups. EBL201902 Computing and Computers SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5191320 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2663898 BOOK MIGRATED 2663897 SzGeCERN 20210421202950.0 9783319654539 electronic version electronic version 9783319654539 print version 9783319654553 electronic version electronic version oai:cds.cern.ch:2663897 cerncds:BOOK EBL 5191313 eng HD28-70RA971.3-971.3 658.4034 Kahraman, Cengiz Operations research applications in health care management Cham Springer 2017 596 p ebook International series in operations research & management science 262 Intro -- Preface -- Contents -- About the Editors -- Part I Overview -- 1 A Taxonomy of Operations Research Studies in Healthcare Management -- 1.1 Introduction -- 1.2 OR Studies in Healthcare Management -- 1.3 Necessity for a Taxonomy: A Discussion -- 1.4 A Taxonomy for OR Studies in Healthcare Management -- 1.5 Results of the Taxonomy with Selected Articles -- 1.6 Conclusions and Further Suggestions -- Appendix -- References -- 2 A Comprehensive Survey on Healthcare Management -- 2.1 Introduction -- 2.2 Sub-classifications of HCM Studies -- 2.2.1 HCM Papers Making Literature Review -- 2.2.2 Quantitative and Qualitative Techniques in HCM -- 2.2.3 Case Studies in HCM -- 2.2.4 Performance Measurement in HCM -- 2.3 Classification of Techniques Used in Healthcare Management -- 2.3.1 Simulation -- 2.3.2 Multicriteria Decision Making -- 2.3.3 Mathematical Programming -- 2.3.4 Probabilistic and Statistical Decision Making -- 2.3.5 Data Envelopment Analysis (DEA) -- 2.3.6 Data Mining (DM) -- 2.3.7 Economic Decision Making and Engineering Economics -- 2.3.8 Human Factors Engineering -- 2.3.9 Structural Equation Modeling (SEM) -- 2.3.10 Design of Experiments (DOE) -- 2.3.11 System Dynamics -- 2.3.12 Qualitative Approaches -- 2.3.13 Other Approaches -- 2.3.13.1 Cost Analysis in Healthcare -- 2.3.13.2 Quality in Healthcare -- 2.3.13.3 Information Technologies in Healthcare -- 2.3.13.4 Tactical and Strategic Decision-Making in Healthcare -- 2.3.13.5 Lean Management in Healthcare -- 2.3.13.6 Environmental Management in Healthcare -- 2.3.13.7 Risk Analysis in Healthcare -- 2.4 Conclusions -- References -- Part II Medical Units in Hospital -- 3 The Real Time Management of Operating Rooms -- 3.1 Introduction -- 3.2 The Management of Elective and Non-elective Patients -- 3.3 Ex-Ante Approach: The Online Solution -- 3.3.1 The RTM with only Elective Patients. 3.3.2 The RTM with Elective and Non-elective Patients -- 3.4 Ex-Post Approach: The Offline Solution -- 3.5 Quantitative Analysis -- 3.5.1 The Simulated Surgical Clinical Pathway -- 3.5.2 Scenarios and Indices -- 3.5.3 Results -- 3.5.4 Computational Remarks -- 3.6 Sharing Resources Among Surgical Pathways -- 3.6.1 Policies for Sharing ORs -- 3.6.2 Policies for Sharing Overtime -- 3.6.3 Quantitative Analysis -- 3.7 Conclusions -- References -- 4 Mixed Fuzzy Clustering for Deriving Predictive Models in Intensive Care Units -- 4.1 Introduction -- 4.2 Adverse Events in the ICU -- 4.2.1 Septic Shock: Vasopressors Administration and Mortality -- 4.2.2 Early Readmissions -- 4.3 Mixed Fuzzy Clustering -- 4.4 Fuzzy Modeling Based on Mixed Fuzzy Clustering -- 4.4.1 Takagi-Sugeno Fuzzy Modeling -- 4.4.2 Proposed TS Fuzzy Models -- 4.5 Data Description -- 4.5.1 Data Processing -- 4.5.2 Vasopressors Administration -- 4.5.3 Mortality in Abdominal Septic Shock -- 4.5.4 Readmissions -- 4.6 Results -- 4.6.1 Vasopressors Administration -- 4.6.2 Mortality Prediction -- 4.6.3 Readmissions -- 4.7 Conclusions -- References -- 5 Operations Research for Occupancy Modeling at Hospital Wards and Its Integration into Practice -- 5.1 Introduction -- 5.2 Hospital Ward Types and Terminology -- 5.2.1 Taxonomy -- 5.2.2 Terminology -- 5.3 Ward-Related OR Models -- 5.3.1 Intensive Care Unit -- 5.3.2 Acute Medical Unit -- 5.3.3 Obstetrics Ward -- 5.3.4 Weekday Ward -- 5.3.5 General Ward -- 5.4 Illustrations of OR Model Use -- 5.4.1 ICU Case Study -- 5.4.2 OBS Case Study -- 5.4.3 AMU Case Study -- 5.4.4 WDW Case Study -- 5.5 Implemented OR Results -- 5.6 Challenges and Directions for Further Research -- Appendix: OR Model Types -- References -- Part III Care Process: Preparedness -- 6 Evaluating Healthcare System Efficiency of OECD Countries: A DEA-Based Study -- 6.1 Introduction. 6.2 DEA -- 6.3 LE, Infant Mortality and Efficiency -- 6.3.1 2008 Models with Respect to LE and Infant Mortality -- 6.3.2 2012 Models with Respect to LE and Infant Mortality -- 6.3.3 Discussion of Results -- 6.4 Survival from Major Causes of Death and Efficiency -- 6.4.1 2008 Models with Respect to Survival from Major Causes of Death -- 6.4.2 2012 Models with Respect to Survival From Major Causes of Death -- 6.5 Conclusion -- References -- 7 Healthcare Expenditure Prediction in Turkey by Using Genetic Algorithm Based Grey Forecasting Models -- 7.1 Introduction -- 7.2 Literature Review -- 7.2.1 Health Care Expenditure Literature -- 7.2.2 Grey Forecasting Literature -- 7.3 Grey Forecasting -- 7.3.1 GM (1,1) Model -- 7.3.2 Nonlinear Grey Bernoulli Model -- 7.3.3 Data Set -- 7.4 Methodology -- 7.4.1 Healthcare Expenditure Forecasting with Proposed Models -- 7.5 Conclusion -- References -- 8 The Impact of Social Networks in Developing and Managing Chronic Care Models -- 8.1 Introduction -- 8.2 The Literature Debate -- 8.2.1 The General Framework -- 8.2.2 The Primary Care Stream -- 8.2.3 The Chronic Care Model and Beyond -- 8.3 Case Study -- 8.3.1 Data and Methods -- 8.4 Discussion of Results -- 8.5 Conclusion -- A.1 Appendix 1 -- References -- Part IV Care Process: Precaution -- 9 Design and Planning of Organ Transplantation Networks -- 9.1 Introduction to Organ Transplantation Network Management -- 9.1.1 Importance and Drivers -- 9.1.2 Definitions and Scope -- 9.2 Literature Review -- 9.3 Selected Mathematical Programming Models -- 9.3.1 A Multi-period Location-Allocation Model for Organ Transplant Centers -- 9.3.2 A Credibility-Based Fuzzy Programming Approach to Multi-period Location-Allocation of Organ Transplant Centers Under Uncertainty -- 9.3.3 A Scalable, Data-Driven Method for Designing Fair and Efficient Kidney Allocation Policies. 9.4 Case Study -- 9.5 Future Research Directions -- References -- 10 Blood Supply Chain Management and Future Research Opportunities -- 10.1 Introduction -- 10.2 Existing Literature on Blood Supply Chain -- 10.3 Future Research Opportunities -- 10.3.1 Matching Supply with Demand via Donation Tailoring -- 10.3.2 Scheduling Collection Operations -- 10.4 Conclusion -- References -- 11 Vaccine Supply Management -- 11.1 Introduction -- 11.2 An Introduction to Vaccine Supply Chain Networks -- 11.2.1 Vaccine Supply Chain Effectiveness and Efficiency -- 11.2.2 Vaccine Supply Chain Costs -- 11.3 Vaccine Supply Problems -- 11.3.1 Vaccine Sourcing -- 11.3.2 Vaccine Demand Forecasting -- 11.3.3 Vaccine Shortage -- 11.3.3.1 Vaccine Production -- 11.3.3.2 Purchasing and Distribution -- 11.3.3.3 Provision -- 11.3.4 Vaccine Cold Chains -- 11.4 Vaccine Supply Chain Coordination -- 11.5 Stockpiling Vaccine Supplies for Pandemics -- 11.6 Conclusion Remarks -- Appendix A -- References -- Part V Care Process: Diagnosis and Prognosis -- 12 OR Applications in Disease Screening -- 12.1 Introduction -- 12.1.1 Assessing Population Level Screening -- 12.2 OR Models for Evaluation and Optimization of Screening Policies -- 12.2.1 Modeling at the Individual Level -- 12.2.2 Modeling at the Cohort Level -- 12.2.3 Stochastic Models for Screening Program Evaluation -- 12.2.4 OR Models for Medical Decision Making -- 12.3 OR Models for Management of Screening Services -- 12.3.1 Location Models for Screening Facilities -- 12.3.2 Resource Allocation for Screening Services -- 12.4 Conclusion -- Appendix -- References -- 13 Classification of Cancer Data: Analyzing Gene Expression Data Using a Fuzzy Decision Tree Algorithm -- 13.1 Introduction -- 13.2 Related Work -- 13.3 Fuzzy Decision Tree Classifier -- 13.4 Experiments and Results -- 13.4.1 Data Sets -- 13.4.2 Evaluation Measures. 13.4.3 Comparison Algorithms -- 13.4.4 Experimental Results -- 13.5 Conclusion -- References -- Part VI Care Process: Treatment -- 14 Efficiency of Diabetes Treatment -- 14.1 Introduction -- 14.2 Literature Review -- 14.3 Methodology -- 14.3.1 TOPSIS -- 14.3.2 A Neural Network Approach to Predicting Efficiency -- 14.4 Results and Discussion -- 14.5 Conclusion -- Appendix 1: Contextual Variables and Their Descriptives -- Appendix 2: Efficiency Ranking -- References -- 15 A Multiobjective Solution Method for Radiation TreatmentPlanning -- 15.1 Introduction -- 15.2 Background -- 15.3 Problem Formulation -- 15.4 Results -- 15.5 Conclusions -- References -- Part VII Medical Issues -- 16 OR Models for Emergency Medical Service (EMS) Management -- 16.1 Introduction to Emergency Medical Services -- 16.2 EMS Strategic Planning Models -- 16.2.1 Backup Coverage Problems (BACOP) -- 16.2.2 Nonlinear Integer Programming Model for Real-Time EMS Vehicle Dispatching Model -- 16.3 EMS Operational Planning Models -- 16.3.1 Joint Ground and Air Emergency Medical Services Coverage Model -- 16.4 EMS Models Under Uncertainty -- 16.5 Case Study -- 16.6 Future Research Directions -- References -- 17 Health Informatics -- 17.1 Introduction -- 17.2 Optimizational Computing in Bioinformatics -- 17.3 Variational Methods in Image Segmentation -- 17.4 Image Registration -- 17.5 Strategic Reorganization Planning Among Healthcare System Units -- 17.5.1 MCDM in Unit Investment Ordering -- 17.5.2 ANP Method -- 17.5.3 An Example of Private Hospital in Turkey -- 17.5.3.1 The Identification of Criteria and Sub-criteria -- 17.5.3.2 Evaluation of the Problem by ANP -- 17.6 Medical Decision Making: Device Selection Problem -- 17.6.1 MCDM in Medical Decision Making -- 17.6.2 VIKOR Method -- 17.6.3 A Case Study -- 17.6.3.1 Criteria for Medical Imaging Device Selection and Alternatives. 17.6.3.2 Evaluation of MDS Problem by VIKOR. EBL201902 Information Transfer and Management SzGeCERN EBL Health services administration BOOK Topcu, Y Ilker https://cds.cern.ch/auth.py?r=EBLIB_P_5191313 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2663897 BOOK MIGRATED 2663876 SzGeCERN 20210421202952.0 9789811067150 electronic version electronic version 9789811067150 print version 9789811067167 electronic version electronic version oai:cds.cern.ch:2663876 cerncds:BOOK EBL 5185128 eng GE195-199GE196TS1300 658.408 Gardetti, Miguel Ángel Sustainable luxury, entrepreneurship, and innovation Singapore Springer 2017 215 p ebook Environmental footprints and eco-design of products and processes Intro -- Preface -- The Book -- Bibliography -- Contents -- 1 The Face of Culturally Sustainable Luxury: Some Emerging Traits from a Case Study -- Abstract -- 1 Luxury and Sustainability: As Different as They Are Similar -- 2 On the Trail of Diversity: From Brand to Cultural Heritage -- 3 Research Methodology -- 4 A Cultural Heritage Preserved in Tessilnova Collections -- 4.1 Casentino Fabric: The Interweaving of Local and Textile Culture -- 4.2 Tessilnova: The Case of a Luxury Embedding History and Local Traditions -- 5 Discussion -- 6 Conclusions -- References -- 2 How the Business Model Could Increase the Competitiveness of a Luxury Company? -- Abstract -- 1 Introduction -- 2 Background -- 3 Methodology -- 4 The Business Model's Features -- 5 Conclusions, Implications and Limitations -- References -- 3 Appreciative Mentoring as an Innovative Micro-Practice of Employee Engagement for Sustainability: A Luxury Hotel's Entrepreneurial Journey -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Theoretical Context -- 3.2 Research Design and Scope of the Study -- 3.3 Research Site and Population -- 3.4 The SCALA Survey -- 3.5 The Mentoring for Hearts and Minds (MHM) Project -- 4 Findings -- 4.1 The SCALA Survey Findings -- 4.2 The Mentoring for Hearts and Minds (MHM) Project Findings -- 5 Discussion -- 6 Conclusion and Implications -- Appendix 1 -- References -- 4 Entrepreneurship, Innovation and Luxury: The Case of ANTHYIA -- Abstract -- 1 Luxury, Sustainability, Innovation and Entrepreneurship: An Introduction -- 2 Methodology -- 3 Creating Sustainable Value -- 3.1 Creating Value -- 3.2 Global Sustainability Drivers -- 3.3 The Sustainable Value Structure: Connecting Drivers with Strategies -- 3.3.1 Growing Profits and Reducing Risks Through Pollution Prevention. 3.3.2 Enhancing Reputation and Legitimacy Through Product Stewardship -- 3.3.3 Market Innovation Through New Technologies -- 3.3.4 Crystallising the Growth Path Through the Sustainability Vision -- 4 ANTHYIA Inc. -- 4.1 The Founder and Her Values -- 4.2 Why Ramie? -- 4.3 Ramie -- 4.4 Creation of Anthyia -- 4.4.1 Ramie Partner Searching -- 4.4.2 Breakpoint Reaching and Products -- 5 Creating Sustainable Value at Anthyia Inc. and Conclusions -- References -- 5 The Communication of Sustainability by Italian Fashion Luxury Brands: A Framework to Qualitatively Evaluate Innovation and Integration -- Abstract -- 1 Introduction -- 2 Premises: Why Focus on the Italian Luxury Fashion Market and on Online CSR Communication -- 3 CSR as Catalyst for Redesigning Business Models -- 4 Online Communication by Luxury Brands -- 5 Measuring the Communication of Sustainability: CSR Communication Framework -- 6 Research Methodology -- 7 Findings and Discussions -- 7.1 Spread of Strategic CSR Communication -- 7.2 Clusters for Sustainability Communication -- 8 Conclusions, Implications and Further Researches -- References -- 6 The Relevance of Sustainability in Luxury from the Millennials' Point of View -- Abstract -- 1 Introduction -- 2 Theory -- 2.1 Sustainability -- 2.2 Luxury -- 2.3 Millennials -- 2.4 Sustainability and Luxury -- 2.5 Millennials and Luxury -- 2.6 Sustainability and Millennials -- 2.7 Sustainability, Luxury, and Millennials -- 3 Research Design -- 4 Findings -- 4.1 Consumer Perspective -- 4.1.1 Sustainability -- 4.1.2 Luxury -- 4.1.3 Combination of Sustainability and Luxury -- 4.2 Job Seeker Perspective -- 4.2.1 Desirable Employer Qualities -- 4.2.2 Employer Attractiveness of Luxury Goods Manufacturers -- 4.2.3 Combination of Sustainability and Luxury -- 5 Discussion -- 6 Conclusion -- 6.1 Implications for Practice -- 6.2 Implications for Research. References -- 7 Opal Entrepreneurship: Indigenous Integration of Sustainable Luxury in Coober Pedy -- Abstract -- 1 Introduction -- 2 The Opal's Complicated Facades -- 3 Aboriginal Opal Mythology and Indigenous Entrepreneurship -- 4 The Origins of Opal Entrepreneurship in Coober Pedy -- 5 Indigenous Integration of Sustainable Luxury -- 6 Opal Entrepreneurship and Its Underground Remnant Spaces -- 7 Opal Quarries as Seamless Spaces of Sustainable Luxury? -- References -- 8 Sustainable Luxury Tourism, Indigenous Communities and Governance -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Mardoowarra (Fitzroy River) -- 2.2 Social Innovation -- 2.3 Sustainability -- 2.4 Why Sustainable Luxury Might Play an Important Role -- 2.5 Indigenous Tourism in Australia -- 3 Control, Tenure and Legal Rights Vis-a-Vis Management Responsibilities -- 4 Indigenous Governance -- 5 Overall Policy Context for Sustainable Luxury Tourism -- 5.1 High Costs -- 5.2 Redefining Luxury -- 5.3 Scaling Down -- 5.4 Indigenous Entrepreneurs -- 6 Concluding Thoughts -- Acknowledgements -- References -- 9 Design Similarity as a Tool for Sustainable New Luxury Product Adoption: The Role of Luxury Brand Knowledge and Product Ephemerality -- Abstract -- 1 Introduction -- 2 Sustainability and Green Products -- 3 Luxury and Sustainability -- 4 Innovation in Luxury Through New Green Products -- 5 Luxury Brand Knowledge and Product Ephemerality -- 6 Methodology and Results -- 6.1 Experimental Procedure -- 7 Results -- 8 Conclusions -- Appendix -- References -- 10 The Carloway Mill Harris Tweed: Tradition-Based Innovation for a Sustainable Future -- Abstract -- 1 Introduction -- 2 Place: The Outer Hebrides -- 3 Heritage: The Cloth Industry -- 4 Authenticity: The Harris Tweed Authority -- 5 Enterprise: The Carloway Mill and Its Product -- 6 Threats from Industry Changes. 7 Sustainability: The Future of Carloway Mill as a Luxury Enterprise -- 7.1 Physical Rarity of Luxury Product/Brand -- 7.2 Perceived Rarity of Luxury Product/Brand -- 8 Conclusions -- References. EBL201902 Information Transfer and Management SzGeCERN BOOK Muthu, Subramanian Senthilkannan https://cds.cern.ch/auth.py?r=EBLIB_P_5185128 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2663876 BOOK MIGRATED 2663867 SzGeCERN 20210421202954.0 9783319709925 electronic version electronic version 9783319709925 print version 9783319709932 electronic version electronic version oai:cds.cern.ch:2663867 cerncds:BOOK EBL 5183810 eng TK7888.4QC174.7-175. 003.857 Banerjee, Tanmoy Time-delayed chaotic dynamical systems from theory to electronic experiment Cham Springer 2017 121 p ebook SpringerBriefs in applied sciences and technology Intro -- Preface -- Contents -- 1 Introduction -- 1.1 Time-Delayed Dynamical Systems -- 1.1.1 Delay Differential Equations with Single Discrete Delay -- 1.1.2 Delay Differential Equations with Multiple Discrete Delays -- 1.1.3 Delay Differential Equations with Distributed Delays -- 1.1.4 Delay Differential Equations with State-Dependent Delay -- 1.1.5 Delay Differential Equations with Time-Dependent Delay -- 1.2 A Brief Survey on Nonlinear Time-Delayed Systems -- 1.2.1 Models with Time Delay -- 1.2.2 Time-Delayed Electronic Circuits -- 1.2.3 Synchronization of Time-Delayed Systems -- 1.3 Topics Covered in This Book -- 2 First-Order Time-Delayed Chaotic Systems: Design and Experiment -- 2.1 Chaotic Time-Delayed System with Bimodal Nonlinearity: System Description -- 2.2 Stability and Bifurcation Analysis -- 2.2.1 Positive b -- 2.2.2 Negative b -- 2.3 Numerical Studies -- 2.3.1 Varying with Constant b -- 2.3.2 Varying b with Constant -- 2.4 Experimental Studies -- 2.4.1 Variable , Fixed B -- 2.4.2 Variable B, Fixed -- 2.5 Time-Delayed System with Unimodal Nonlinearity: System Description -- 2.6 Stability Analysis -- 2.7 Numerical Studies -- 2.7.1 Varying with Constant b -- 2.7.2 Varying b with Constant -- 2.8 Experimental Observations -- 2.9 Summary -- 3 Chaotic Time-Delayed System with Hard Nonlinearity: Design and Characterization -- 3.1 System Description -- 3.2 Stability Analysis -- 3.2.1 Stability and Direction of Hopf Bifurcation -- 3.3 Numerical Studies -- 3.3.1 Varying b with Constant -- 3.3.2 Varying with Constant b -- 3.4 Electronic Circuit Realization -- 3.5 Experimental Results -- 3.6 Discussions -- 4 Collective Behavior-I: Synchronization in Hyperchaotic Time-Delayed Oscillators Coupled Through a Common Environment -- 4.1 Environmentally Coupled Time-Delayed System -- 4.2 Experiment -- 4.2.1 Electronic Circuit Realization. 4.2.2 Experimental Results -- 4.3 Linear Stability Analysis -- 4.4 Numerical Simulation -- 4.4.1 Lyapunov Exponent Spectrum -- 4.4.2 Time Series and Phase-Plane Plots -- 4.4.3 Generalized Autocorrelation Function and CPR -- 4.4.4 Concept of Localized Set -- 4.4.5 Stability of Synchronization in Parameter Space -- 4.5 Discussions -- 5 Collective Behavior-II: Amplitude Death and the Corresponding Transitions in Coupled Chaotic Time-Delayed Systems -- 5.1 Mean-Field Coupling -- 5.2 Stability Analysis -- 5.2.1 Krasovskii--Lyapunov Theory: Complete Synchronization (1=2) -- 5.2.2 Generalized (Anticipatory, Lag) Synchronization: (1=2) -- 5.2.3 Linear Stability Analysis: Amplitude Death -- 5.3 Numerical Simulation -- 5.3.1 System Description -- 5.3.2 Numerical Results -- 5.4 Experiment -- 5.4.1 Effect of Intrinsic Time Delay -- 5.4.2 Effect of Coupling -- 5.5 Summary -- 6 Epilogue: Future Directions -- 6.1 Studies on Systems Having Distributed Time Delay -- 6.2 Collective Behavior: Chimera States -- 6.3 Collective Behavior: Symmetry Breaking Oscillation Quenching States -- Appendix A A Brief Tutorial on XPPAUT and LabVIEW -- A.1 Solving DDE Using XPPAUT -- A.2 Data Acquisition Using LabVIEW -- Appendix References -- Index. EBL201902 Computing and Computers SzGeCERN BOOK Biswas, Debabrata https://cds.cern.ch/auth.py?r=EBLIB_P_5183810 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2663867 BOOK MIGRATED 2663772 SzGeCERN 20210421203007.0 9781422162569 electronic version electronic version 9781422162569 print version 9781422172087 electronic version electronic version oai:cds.cern.ch:2663772 cerncds:BOOK EBL 5182097 eng HD30.255 .H378 2011 658.4/083 Harvard Business Review Press Harvard Business Review on greening your business profitably Boston, MA Harvard Business Review Press 2011 263 p ebook Intro -- Contents -- Why Sustainability Is Now the Key Driver of Innovation -- Growing Green -- How to Jump-Start the Clean-Tech Economy -- The Sustainability Imperative -- Strategy & Society -- The Greening of Petrobras -- A Road Map for Natural Capitalism -- Don't Tweak Your Supply Chain-Rethink It End to End -- Timberland's CEO on Standing Up to 65,000 Angry Activists -- Competitive Advantage on a Warming Planet -- Index. Protect the earth and your bottom line. If you need the best practices and ideas for turning sustainability into competitive advantage--but don't have time to find them--this book is for you. Here are 10 inspiring and useful perspectives, all in one place. This collection of HBR articles will help you: - Craft strategy to compete on green turf - Redesign your business model, products, and processes to achieve green goals - Parlay your efforts into lower costs and higher revenues - Capture more value from clean-tech investments - Launch sustainability programs with impact - Synchronize green initiatives by overhauling your supply chain - Engage constructively with environmental activist groups - Mitigate the risks of climate change. EBL201902 20210129 added 110__ Information Transfer and Management SzGeCERN EBL Business enterprises-Environmental aspects EBL Environmental responsibility EBL Management-Environmental aspects BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5182097 ebook n 201908 21 PUBLIC https://catalogue.library.cern/legacy/2663772 BOOK MIGRATED 2663740 SzGeCERN 20210421203012.0 9781422127179 electronic version electronic version 9781422127179 print version 9781422157855 electronic version electronic version oai:cds.cern.ch:2663740 cerncds:BOOK EBL 5181941 eng TS170.5 .U55 2010 658.4/083 Unruh, Gregory Earth, Inc. using nature's rules to build sustainable profits Boston, MA Harvard Business Review Press 2010 115 p ebook Cover -- Copyright -- Acknowledgments -- Introduction -- Chapter 1: Materials Parsimony -- Chapter 2: Power Autonomy -- Chapter 3: Value Cycles -- Chapter 4: Sustainable Product Platforms -- Chapter 5: Function over Form -- Conclusion: Building the Ecosystem -- Notes -- Further Reading -- About the Author. Having trouble reconciling your desire to do good by the environment while also moving your company forward? In Earth, Inc., Gregory Unruh shows you how to embed sustainability into everything your company does - profitably. Providing prescriptive steps that will inform your business decisions, Unruh will help you launch your company into eco-minded practices. His five Biosphere Rules apply the laws of nature as a guide for efficient and innovative business operations. Instead of a linear value chain, Unruh offers a cyclical value chain - a chain that offers both sustainability and profitability, for now and for the future. EBL201902 Information Transfer and Management SzGeCERN EBL Industrial management-Environmental aspects EBL New products-Environmental aspects BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5181941 ebook n 201908 21 PUBLIC https://catalogue.library.cern/legacy/2663740 BOOK MIGRATED 2663730 SzGeCERN 20210421203014.0 9781422136447 electronic version electronic version 9781422177709 electronic version electronic version 9781422177709 print version oai:cds.cern.ch:2663730 cerncds:BOOK EBL 5181908 eng HD30.28 .W473 2009 658.4012 Werbach, Adam Strategy for sustainability a business manifesto Boston, MA Harvard Business Review Press 2009 160 p ebook Intro -- Copyright -- Dedication -- Introduction -- Chapter 1: A Different Way to Formulate Your Business Strategy -- Chapter 2: Mapping Your Opportunities -- Chapter 3: Setting Your North Star and Initiating the TEN Cycle -- Chapter 4: Using Transparency to Execute Your Strategy -- Chapter 5: Engaging Individuals -- Chapter 6: The Network of Sustainability Partners -- Chapter 7: Leadership at All Levels -- Conclusion -- Appendix -- Acknowledgments -- Notes -- About the Author. The definitive work on business strategy for sustainability by the most authoritative voice in the conversation. More than ever before, consumers, employees, and investors share a common purpose and a passion for companies that do well by doing good. So any strategy without sustainability at its core is just plain irresponsible - bad for business, bad for shareholders, bad for the environment. These challenges represent unprecedented opportunities for big brands - such as Clorox, Dell, Toyota, Procter & Gamble, Nike, and Wal-Mart - that are implementing integral, rather than tangential, strategies for sustainability. What these companies are doing illuminates the book's practical framework for change, which involves engaging employees, using transparency as a business tool, and reaping the rewards of a networked organizational structure. Leave your quaint notions of corporate social responsibility and environmentalism behind. Werbach is starting a whole new dialogue around sustainability of enterprise and life as we know it in organizations and individuals. Sustainability is now a true competitive strategic advantage, and building it into the core of your business is the only means to ensure that your company - and your world - will survive. EBL201902 Information Transfer and Management SzGeCERN EBL Strategic planning BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5181908 ebook n 201908 21 PUBLIC https://catalogue.library.cern/legacy/2663730 BOOK MIGRATED 2663727 SzGeCERN 20210421203014.0 9781422135402 electronic version electronic version 9781422166543 electronic version electronic version 9781422166543 print version oai:cds.cern.ch:2663727 cerncds:BOOK EBL 5181902 eng HD30.255 .W567 2009 658.4083 Winston, Andrew S Green recovery get lean, get smart, and emerge from the downturn on top Boston, MA Harvard Business Review Press 2009 82 p ebook Intro -- Copyright -- Author's Note -- Introduction: Green Recovery -- Chapter 1: The Green Wave in Tight Times -- Chapter 2: Get Lean -- Chapter 3: Get Smart -- Chapter 4: Get Creative -- Chapter 5: Get (Your People) Engaged -- Conclusion: Survival, Relevance, and Advantage -- Acknowledgments -- About the Author. When the economy turns rough, many companies sideline their green business initiatives. That's a big mistake. In Green Recovery, Andrew Winston shows that no company can afford to wait for the downturn to ease before going green. Green initiatives ratchet up your company's resource efficiency, creativity, and employee motivation. They save energy, waste, and money, preserving precious capital-and give precise focus to your innovation efforts and strategic priorities. Part manifesto and part how-to guide, this concise and engaging book provides a road map for using green initiatives to deliver short-term gains and position your company for long-term strategic growth. You'll discover how to: -Get lean: Amp up your energy and resource efficiency to survive tough times -Get smart: Use environmental data about products and supply chains for competitive advantage -Get creative: Rejuvenate your innovation efforts by asking heretical questions such as "How might we operate with no fossil fuels?" -Get going: Engage and excite employees to solve the company's, the customer's, and the world's environmental challenges Green Recovery is your guide to establishing your competitive positioning in difficult times and emerging even stronger into a vastly changed economy. EBL201902 Information Transfer and Management SzGeCERN EBL Green movement-Economic aspects EBL Industrial management-Environmental aspects EBL Organizational effectiveness-Environmental aspects BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5181902 ebook n 201908 21 PUBLIC https://catalogue.library.cern/legacy/2663727 BOOK MIGRATED 2663647 SzGeCERN 20210421203026.0 9780865717121 electronic version electronic version 9780865717121 print version 9781550925074 electronic version electronic version oai:cds.cern.ch:2663647 cerncds:BOOK EBL 5180721 eng HD30.255 .W555 2012 658.4 Willard, Bob The new sustainability advantage seven business case benefits of a triple bottom line 10th ed. Gabriola Island New Society Publishers 2012 225 p ebook Smart sustainability strategies and how they can benefit the bottom line. EBL201902 Information Transfer and Management SzGeCERN EBL Business enterprises-Environmental aspects EBL Environmental protection-Economic aspects EBL Management-Environmental aspects EBL Sustainable development reporting BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5180721 ebook n 201908 21 PUBLIC https://catalogue.library.cern/legacy/2663647 BOOK MIGRATED 2663631 SzGeCERN 20210421203029.0 9783319689432 electronic version electronic version 9783319689432 print version 9783319689449 electronic version electronic version oai:cds.cern.ch:2663631 cerncds:BOOK EBL 5178298 eng HD28-70HF54.5-54.56H 004 Patrignani, Norberto Slow tech and ICT a responsible, sustainable and ethical approach Cham Palgrave Macmillan 2017 160 p ebook Intro -- Foreword -- Note on Dates -- Preface -- Acknowledgements -- Bibliography -- Contents -- Slow Tech List of Abbreviations -- List of Figures -- Chapter 1: Introduction -- References -- Chapter 2: Pneumatophores -- 2.1 Carlo Petrini -- 2.2 Alexander Langer -- 2.3 René von Schomberg -- 2.4 Joseph Weizenbaum -- References -- Chapter 3: Speed Limits in Cyberspace -- 3.1 An Ecology for Cyberspace? -- 3.1.1 Characteristics of the Knowledge Revolution -- 3.1.2 Human Beings and the Concept of Time -- 3.1.3 Why Human Beings Do Not Like Limits -- 3.2 The Myth of Speed -- References -- Chapter 4: Stories About Speed and Time -- 4.1 The Length of Life Cycles: The Lotka-Volterra Model -- 4.2 Dangers Are Long Lasting: Onkalo, Finland -- 4.3 Eternally Saving Crops for Humanity: Svalbard, Norway -- 4.4 Stimulating Long-Term Thinking: Van Horn, Texas -- 4.5 Limiting the Speed of Machines: The New York Stock Exchange -- 4.6 The Recovery of Control -- References -- Chapter 5: Information: Environmental and Human Limits -- 5.1 The Characteristics of Information -- 5.1.1 An Initial Focus on the Time Dimension -- 5.1.2 Information Sharing in Space and Time -- 5.1.3 How Information Provision Has Developed Over Time -- 5.2 Environmental Limits: Towards the End of Moore's Law? -- 5.2.1 Computers Are Not Washing Machines -- 5.3 Human Limits: Individual and Collective Bandwidth -- 5.3.1 Individual Bandwidth -- 5.3.2 Collective Bandwidth -- References -- Chapter 6: The Beginning of a New Renaissance in ICT -- 6.1 Co-shaping of Technology and Society -- 6.1.1 The Early Days of Computing -- 6.1.2 Computing Use in Wartime -- 6.1.3 Host Computing -- 6.1.4 Personal Computing -- 6.1.5 Cloud Computing -- 6.2 Towards a Proactive Computer Ethics -- 6.2.1 The Dawn of Computer Ethics -- 6.2.2 A Policy Vacuum -- 6.2.3 Further Shifts in Computer Ethics. 6.2.4 Proactive Computer Ethics -- 6.3 ICT as Complex Socio-Technical Systems -- 6.3.1 Systemic Design -- 6.3.2 Importance of Complex Systems in Computer Science -- 6.4 Innovation -- 6.4.1 Innovation, Ethics, and Responsible Research and Innovation -- 6.5 A Model for Responsible Research and Innovation -- References -- Chapter 7: Slow Tech: A Good, Clean, and Fair ICT -- 7.1 Introducing a Slow Tech Compass -- 7.2 Adapting the Principles of the Slow Food Movement to ICT -- 7.3 Good ICT -- 7.3.1 Good ICT as Socially Desirable ICT -- 7.3.2 Good ICT as Hospitable ICT -- 7.3.3 Good ICT and a Balance Between Leisure and Working Time -- 7.3.4 Good ICT and Slower Life -- 7.3.5 Good ICT and Learning -- 7.3.6 Good ICT and Studies of the Human Mind -- 7.4 Clean ICT -- 7.4.1 Clean ICT and Climate Change -- 7.4.2 Clean ICT and e-Waste -- 7.5 Fair ICT -- 7.5.1 Fair ICT and Ethics -- 7.5.2 Being Ethical: Working with Shared Values -- 7.5.3 Fair ICT and the Rights of Workers -- 7.5.4 Fair ICT and the Health of Workers -- 7.5.5 Fair ICT and Its Open Spanning Layers -- 7.5.6 Fair ICT and War -- References -- Chapter 8: Applying Slow Tech in Real Life -- 8.1 Moving Towards an Understanding of Complex Human Beings -- 8.2 Starting a Dialogue with Stakeholders -- 8.2.1 Younger Generations -- 8.2.2 Users -- 8.2.3 Computer Professionals -- 8.2.4 ICT Companies -- 8.3 Applying the Slow Tech Method -- 8.3.1 Is This Cloud Computing Good? -- 8.3.2 Is This Cloud Computing Clean? -- 8.3.3 Is This Cloud Computing Fair? -- 8.4 Locating Existing Examples of Slow Tech Companies -- 8.4.1 Olivetti -- 8.4.2 Loccioni -- 8.4.3 Fairphone -- References -- Chapter 9: Energy, Time, and Information: A Long-­Term View of ICT -- 9.1 A Longer-Term View of Sustainable ICT Over Time -- 9.2 Spreng's Triangle -- 9.3 An Application of the Brakes with a Focus on Human Happiness -- References -- Index. EBL201902 Computing and Computers SzGeCERN EBL Business-Data processing-Management EBL Information technology-Management BOOK Whitehouse, Diane https://cds.cern.ch/auth.py?r=EBLIB_P_5178298 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2663631 BOOK MIGRATED 2663615 SzGeCERN 20200610213338.0 9781315356815 electronic version electronic version 9781466557031 electronic version electronic version 9781466557031 print version oai:cds.cern.ch:2663615 cerncds:BOOK EBL 5166970 eng T55 .S687 2018 658.408 Spurlock, Barry Physical hazards of the workplace 2nd ed. Boca Raton, FL Chapman and Hall/CRC 2017 303 p Occupational safety and health guide Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgments -- About the Author -- About the Authors of the First Edition -- Chapter 1: Systematically Managing Hazards in the Workplace -- Defining Hazard and Risk -- Hazard -- Risk -- Anticipating and Identifying Hazards -- Analyzing Hazards (Assessing the Risk) -- Controlling Hazards -- Hazard Identification and Control Systems -- Summary -- Reference -- Chapter 2: Ergonomics -- Developing and Implementing the Ergonomics Program -- Management Commitment and Employee Involvement -- Worksite Analysis -- Hazard Prevention and Control -- Ergonomic Program Checklist -- Summary -- Chapter 3: Respiratory Hazards -- Respiratory Hazard Exposure Prevention Methods -- Classification of Respiratory Hazards: Gases and Fumes -- Different Types of Respirators Available -- Open-Circuit vs. Closed-Circuit SCBA -- Respirator Training -- Elements of a Respiratory Protection Program -- 1910.134(c) -- 1910.134(c)(1) -- 1910.134(c)(1)(i) -- 1910.134(c)(1)(ii) -- 1910.134(c)(1)(iii) -- 1910.134(c)(1)(iv) -- 1910.134(c)(1)(v) -- 1910.134(c)(1)(vi) -- 1910.134(c)(1)(vii) -- 1910.134(c)(1)(viii) -- 1910.134(c)(1)(ix) -- 1910.134(c)(2) -- 1910.134(c)(2)(i) -- 1910.134(c)(2)(ii) -- 1910.134(c)(3) -- 1910.134(c)(4) -- Chapter 4: Fire and Explosion Hazards -- The Fire Problem in Nonresidential/Commercial Settings -- Dealing with the Fire Problem -- Step One: Assess Your Potential for Fires and Explosions -- Step Two: Maximize Fire Prevention Efforts -- Step Three: Utilize Early Detection Methods -- Step Four: Utilize Automatic Suppression Systems -- Step Five: Slow the Growth of Potential Fires -- Step Six: Prepare a Fire Preplan and Train Employees to Minimize Risk and to Maximize Life Safety and Property Protection -- 1910.39(a) -- 1910.39(b) -- 1910.39(c) -- 1910.39(d) -- Summary. Chapter 5: Confined Space Hazards -- Defining Confined Spaces and Permit-Required Confined Spaces (PRCS) -- Classification of Hazards -- Respiratory Hazards -- Corrosive Hazards -- Energy Hazards -- Engulfment (Contents) Hazards -- Fire and Explosive Atmospheric Hazards -- Mechanical Equipment Hazards -- Fall Hazards -- Environmental Condition Hazards -- Communication Issues -- Atmospheric Testing and Monitoring -- Entering a PRCS -- Entry Supervisor -- Entrants -- Attendant -- Rescuers -- Permit-Required Confined Space Rescue Priorities -- Priority One -- Priority Two -- Priority Three -- Permit-Required Confined Space Training -- Elements of a Written Confined Space Program -- Elements of a PRCS Entry Permit -- Chapter 6: Electrical Hazards -- Electrical Safety -- General Rules for Operating around Electricity -- Employers -- Employees -- Planning -- General -- Work Plan -- Work Crews -- Safety Equipment -- Additional Apparel Considerations -- Personal Protective Equipment -- Protective Helmets -- Face and Eye Protection -- Rubber Goods -- Testing and Inspection -- Storage -- Use -- Fiberglass and Wood Equipment -- Enforcement of the Program -- Electrical Safety Checklist -- Control of Hazardous Energy (Lockout and Tagout) -- Preparing for a Lockout or Tagout Event -- Sequence of Lockout or Tagout System Procedure -- Restoring Machines and Equipment to Normal Production Operations -- Training -- Chapter 7: Machine Guarding Hazards -- Forming Process Actions -- Cutting -- Punching -- Shearing -- Bending -- What Happens When the Safety Devices Fail? -- Machine/Equipment Maintenance -- Chapter 8: Fall Hazards -- Fall-Protection Categories -- Fall-Arresting Equipment -- Positioning -- Suspension Systems and Equipment -- Retrieval Plan -- Fall-Protection Systems -- Duty to Have Fall Protection -- Training Requirements as Set Forth in 29 C.F.R. 1926.503. Certification of Training -- Retraining -- Chapter 9: Occupational Noise Hazards -- Hearing Conservation* -- 29 C.F.R. 1910.95(a) -- 29 C.F.R. 1910.95(b) -- 29 C.F.R. 1910.95(c): Hearing Conservation Program -- 29 C.F.R. 1910.95(d): Monitoring -- 29 C.F.R. 1910.95(e): Employee Notification -- 29 C.F.R. 1910.95(f): Observation of Monitoring -- 29 C.F.R. 1910.95(g): Audiometric Testing Program -- 29 C.F.R. 1910.95(h): Audiometric Test Requirements -- 29 C.F.R. 1910.95(i): Hearing Protectors -- 29 C.F.R. 1910.95(j): Hearing Protector Attenuation -- 29 C.F.R. 1910.95(k): Training Program -- 29 C.F.R. 1910.95(l): Access to Information and Training Materials -- 29 C.F.R. 1910.95(m): Recordkeeping -- 29 C.F.R. 1910.95(n): Appendices -- 29 C.F.R. 1910.95(o): Exemptions -- 29 C.F.R. 1910.95(p): Startup Date -- Chapter 10: Bloodborne Pathogens -- Example of a Bloodborne Pathogens Program -- Bloodborne Pathogens Program -- Introduction -- Instructions -- Bloodborne Pathogens Program -- Definitions (OSHA Defined) -- Exposure Control Plan: Overview -- General Information -- Bloodborne Pathogens Manual -- Schedule of Implementation -- Exposure Determination -- Exposure Determination List -- Engineering and Work Practice Controls -- Universal Precautions -- Engineering and Work Practice Controls -- Engineering Controls Checklist -- Inspection and Maintenance Schedule Form -- Work Practice Control Checklist -- Personal Protective Equipment -- Availability -- Gloves -- Masks -- Eye and Face Protection -- Protective Clothing -- Respiratory Equipment -- Cleaning, Laundering, Disposal -- Replacement Personal Protective Equipment -- Attachment A to Personal Protective Equipment -- Housekeeping -- General -- Equipment, Environmental, and Working Surfaces -- Glassware/Reusable Sharps -- Regulated Waste -- Disposal. Hepatitis B Vaccine and Vaccination Series and Postexposure Evaluation -- Hepatitis B Vaccination -- Postexposure Evaluation and Follow-Up -- Information Provided to the Healthcare Professional -- Healthcare Professional's Written Opinion -- Postexposure Response Guidelines -- Employees Eligible for, and Offered, Hepatitis B Vaccine and Vaccination Series -- Hepatitis B Vaccine Declination Form ECP VIII-2 (Mandatory) -- Employee Exposure Incident Checklist -- Employee Exposure Incident Record -- Hazard Communications -- Biohazard Sign -- Hazard Communications Checklist -- Training and Education -- EMS, Inc., Training Program Requirements -- Bloodborne Pathogens Training Program -- Recordkeeping -- Medical Records -- Training Records -- Availability -- Transfer of Records -- Recordkeeping Checklist -- Bloodborne Pathogens Program -- Chapter 11: Emergency and Disaster Response Hazards -- Risk Assessment -- Planning Design -- Media Relations -- Remember the Shareholder -- Chapter 12: Workplace Violence -- Individual Warning Signs -- Workplace Violence Prevention Program -- Appendix A: Critical Components of a Job Safety Analysis System -- Appendix B: Employee Workplace Rights -- Introduction -- OSHA Standards and Workplace Hazards -- Access to Exposure and Medical Records -- OSHA Inspections -- Employee Representative -- Helping the Compliance Officer -- Observing Monitoring -- Reviewing OSHA Injury and Illness Records -- After an Inspection -- Challenging Abatement Period -- Variances -- Confidentiality -- Review if No Inspection Is Made -- Discrimination for Using Rights -- Employee Responsibilities -- Appendix C: Appendices to OSHA's Respiratory Protection Standard 29 CFR 1910.134 -- Appendix A to 1910.134: Fit Testing Procedures (Mandatory) -- Part I. OSHA-Accepted Fit Test Protocols -- Part II. New Fit Test Protocols. Appendix B-1 to 1910.134: User Seal Check Procedures (Mandatory) -- I. Facepiece Positive or Negative Pressure Checks -- II. Manufacturer's Recommended User Seal Check Procedures -- Appendix B-2 to 1910.134: Respirator Cleaning Procedures (Mandatory) -- I. Procedures for Cleaning Respirators -- Appendix C to 1910.134: OSHA Respirator Medical Evaluation Questionnaire (Mandatory) -- Appendix D to Sec. 1910.134 (Mandatory) Information for Employees Using Respirators When Not Required Under the Standard -- Appendix D: Select Appendices from OSHA's Permit Required Confined Space Regulation -- 29 CFR 1910.146 Appendix A -- 29 CFR 1910.146 Appendix B -- 29 CFR 1910.146 Appendix C -- Example 1 -- A. Entry without Permit/Attendant -- B. Entry Permit Required -- Example 2 -- Example 3 -- A. During Fabrication -- B. Repair or Service of "Used" Tanks and Bulk Trailers -- 29 CFR 1910.146 Appendix F -- Non-Mandatory Appendix F-Rescue Team or Rescue Service Evaluation Criteria -- A. Initial Evaluation -- B. Performance Evaluation -- Appendix E: OSHA's New Rules on Respirable Silica for General Industry and Construction -- General Industry/Maritime -- Construction -- Appendix F: Fall Protection Inspection Guidelines and New OSHA General Industry Walking-Working Surfaces and Fall Protection Standards -- Fall Protection Inspection Guidelines -- Inspection and Maintenance -- Harness Inspection -- Belts and Rings -- Tongue Buckle -- Friction Buckle -- Lanyard Inspection -- Hardware -- Snaps -- Thimbles -- Lanyards -- Steel Lanyards -- Web Lanyards -- Rope Lanyards -- Visual Indication of Damage to Webbing and Rope Lanyards -- Heat -- Chemical -- Ultraviolet Rays -- Molten Metal or Flame -- Paint and Solvents -- Shock-Absorbing Packs -- Cleaning of Equipment -- Nylon and Polyester -- Drying -- 29 CFR 1910.28. Appendix G: OSHA Regulation, Citations, Compliance, and Rights/Responsibilities under the Act. Spurlock, Barry S https://cds.cern.ch/auth.py?r=EBLIB_P_5166970 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2663609 SzGeCERN 20190321204936.0 9781483383125 electronic version 9781483383101 electronic version EBL 5165240 eng HD60 658.408 Argenti, Paul A Corporate responsibility Thousand Oaks, CA Sage Publications 2015 409 p CORPORATE RESPONSIBILITY-FRONT COVER -- CORPORATE RESPONSIBILITY -- COPYRIGHT -- BRIEF CONTENTS -- DETAILED CONTENTS -- PREFACE -- ACKNOWLEDGMENTS -- ABOUT THE AUTHOR -- PART I- WHAT AND WHY -- CHAPTER 1- AN INTRODUCTION TO CORPORATE RESPONSIBILITY -- CHAPTER 2- THE BUSINESS CASE FOR CR -- PART II- THREE COMPONENTS OF CR:ENVIRONMENTAL, SOCIAL, AND GOVERNANCE -- CHAPTER 3- ENVIRONMENTAL RESPONSIBILITY -- CHAPTER 4- THE CORPORATION'S RESPONSIBILITY TO SOCIETY: HUMAN RIGHTS AND LABOR ISSUES -- CHAPTER 5- THE CORPORATION'S RESPONSIBILITY TO CONSUMERS -- CHAPTER 6- RESPONSIBLE CORPORATE GOVERNANCE -- PART III- CORPORATE RESPONSIBILITY IN ACTION -- CHAPTER 7- CORPORATE ETHICS -- CHAPTER 8- CORPORATE PHILANTHROPY -- CHAPTER 9- COMMUNICATING CORPORATE RESPONSIBILITY -- CHAPTER 10- IMPLEMENTING A CR STRATEGY -- INDEX. Corporate Responsibility offers a concise and comprehensive introduction to the functional area of corporate responsibility. Readers will learn how corporate responsibility is good for business and how leaders balance their organization's needs with responsibilities to key constituencies in society. Author Paul A. Argenti engages students with new and compelling cases by focusing on the social, reputational, or environmental consequences of corporate activities. Students will learn how to make difficult choices, promote responsible behavior within their organizations, and understand the role personal values play in developing effective leadership skills. 9781483383101 print version oai:cds.cern.ch:2663609 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5165240 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2663593 SzGeCERN 20190321204936.0 9783319707211 electronic version 9783319707204 electronic version EBL 5162557 eng TJ807-830TK1001-1841 621.042 Zohuri, Bahman Hybrid energy systems driving reliable renewable sources of energy storage Cham Springer 2017 296 p Intro -- Dedication -- Preface -- Acknowledgments -- Contents -- About the Author -- Chapter 1: Hybrid Renewable Energy Systems -- 1.1 Introduction to Hybrid Energy System -- 1.1.1 Hybrid System as Source of Renewable Energy -- 1.2 Energy Storage Systems -- 1.3 Compressed Air Energy Storage (CAES) -- 1.3.1 Compressed Air Energy Storage (CAES) -- 1.3.2 Advanced Adiabatic Compressed Air Energy Storage (AA-CAES) -- 1.4 Variable Electricity with Base-Load Reactor Operation -- 1.5 Why We Need Nuclear Power -- 1.5.1 The Merits of Total Transformation -- 1.5.2 The Downsides of Monoculture -- 1.5.3 The Other Zero-Carbon Energy: Nuclear -- 1.5.4 A Diverse Portfolio -- 1.6 Security of Energy Supply -- 1.7 Environmental Quality -- References -- Chapter 2: Cryogenic Technologies -- 2.1 Introduction -- 2.2 Low Temperature in Science and Technology -- 2.3 Defining Cryogenic Fluids or Liquids -- 2.3.1 Defining Cryogenic Fluids or Liquids -- 2.3.2 Thermophysical Properties -- 2.3.3 Liquid Boil-off -- 2.3.4 Cryogen Usage for Equipment Cooldown -- 2.3.5 Phase Domains -- 2.3.6 Personal Protective Equipment to Be Worn -- 2.3.7 Handling Cryogenic Liquids -- 2.3.8 Storing Cryogenic Liquids -- 2.3.9 Hazards of Cryogenic Liquids -- 2.3.10 General Hazards of Cryogenic Liquids -- 2.4 Heat Transfer and Thermal Design -- 2.4.1 Solid Conduction -- 2.4.2 Radiation -- 2.4.3 Convection -- 2.4.4 Gas Conduction -- 2.4.5 Multilayer Insulation -- 2.4.6 Vapor Cooling of Necks and Supports -- 2.5 Refrigeration and Liquefaction -- 2.5.1 Thermodynamics of Refrigeration -- 2.5.2 Helium Refrigerators Versus Liquefiers -- 2.5.3 Real Cycles and Refrigeration Equipment -- 2.6 Industrial Applications -- 2.6.1 Cryogenic Processing for Alloy Hardening -- 2.6.2 Cryogenic Fuels -- 2.6.3 Cryogenic Application in Nuclear Magnetic Resonance Spectroscopy (NMR). 2.6.4 Cryogenic Application in Magnetic Resonance Image (MRI) -- 2.6.5 Cryogenic Application in Frozen Food Transport -- 2.6.6 Cryogenic Application in Forward Looking Infrared (FLIR) -- 2.6.7 Cryogenic Application in Space -- 2.6.8 Cryogenic in Blood Banking, Medicine, and Surgery -- 2.6.9 Cryogenic in Manufacturing Process -- 2.6.10 Cryogenic in Recycling of Materials -- 2.7 Cryogenic Application in Research -- 2.7.1 Research Overview -- 2.7.2 Right: Lightweight, High Efficiency Cryocooler -- 2.7.3 Background -- 2.7.4 Right Liquefier Demo and Cryogenic Insulation Test Facility -- 2.8 Cryogenic Fluid Management -- 2.8.1 Benefits -- 2.9 Conclusion -- References -- Chapter 3: Reliable Renewables with Cryogenic Energy Storage -- 3.1 Introduction -- 3.2 Cryogenic Application in Electric Power Transmission within Big Cities -- 3.3 The Basic of Cryogenic Energy Storage (CES) -- 3.4 Cryogenic Energy Storage (CES) -- 3.5 Cryogenic Energy Storage (CES) Characteristics -- 3.5.1 Cryogenic Energy Storage (CES) a Wise Investment -- 3.6 Cryogenic Energy Storage (CES) in Nuclear Power Plants -- 3.6.1 Proposed Combined Cryogenic Energy Storage (CES) in Nuclear Power Plants -- References -- Chapter 4: Types of Renewable Energy -- 4.1 Introduction -- 4.2 What Are the Different Types of Renewable Energies? -- 4.2.1 Biomass -- 4.2.2 Solar Power -- 4.2.3 Wind Power -- 4.2.4 Tidal Power -- 4.2.5 Geothermal -- 4.3 Top Ten Renewable Energy Sources -- 4.3.1 Nuclear Power -- 4.3.2 Compressed Natural Gas -- 4.3.3 Biomass -- 4.3.4 Geothermal Power -- 4.3.5 Radiant Energy -- 4.3.6 Hydroelectricity Power Source -- 4.3.7 Wind Power -- 4.3.8 Solar Power -- 4.3.9 Wave Power -- 4.3.10 Tidal Power -- 4.4 How to Indirectly Participate in Any or All of These Sustainable Energy Solutions -- 4.5 Renewable Energy Certificates -- 4.5.1 Which Technologies Qualify for Certification?. 4.5.2 Bottom Line on Renewable Energy Certification -- 4.6 Issues with Adoption Forms of Renewable Source of Energy -- References -- Chapter 5: Hydrogen Energy Technology, Renewable Source of Energy -- 5.1 Introduction -- 5.2 Hydrogen as an Energy Carrier -- 5.3 Hydrogen Fuel Cell -- 5.4 Fuel Cells -- 5.4.1 Different Types of Fuel Cells -- 5.5 The Fuel Cell Technologies -- 5.6 Fuel Cell Backup Power Systems -- 5.7 Fuel Cell Systems for Stationary Combined Heat and Power Applications -- 5.8 Fuel Cell Systems for Portable Power and Auxiliary Power Applications -- 5.9 Hydrogen Storage -- 5.9.1 Why Study Hydrogen Storage -- 5.9.2 How Hydrogen Storage Works -- 5.9.3 Research and Development Goals -- 5.9.4 Hydrogen Storage Challenges -- 5.10 Hydrogen Energy Storage -- 5.10.1 Hydrogen Production -- 5.10.2 Hydrogen Re-electrification -- 5.11 Underground Hydrogen Storage -- 5.12 Materials-Based Hydrogen Storage -- 5.12.1 Technical Targets and Status -- 5.13 Industrial Application of Hydrogen Energy -- 5.14 Electrical Energy Storage -- 5.14.1 Characteristic of Electricity -- 5.14.2 Electricity and the Roles of Electrical Energy Storages -- 5.15 Strategic Asset Management of Power Networks -- 5.16 Orchestrating Infrastructure for Sustainable Smart Cities -- 5.16.1 Smart Technology Solution Create Value -- 5.16.2 New Approach to Smart City Solution -- 5.16.3 Stakeholders Are Key Drivers to Smart City Solution -- 5.16.4 Without Integration Rising to the Level of Systems There Cannot Smart City -- 5.16.5 Horizontal and Vertical Integration a Key to Interoperability -- 5.16.6 Interoperability Is the Key to Open Markets and to Competitive Solutions -- 5.16.7 Guiding Principles and Strategic Orientation -- References -- Chapter 6: Energy Storage for Peak Power and Increased Revenue -- 6.1 Introduction -- 6.2 Variable Electricity and Heat Storage. 6.3 Implications of Low-Carbon Grid and Renewables on Electricity Markets -- 6.4 Strategies for a Zero-Carbon Electricity Grid -- 6.5 Nuclear Air-Brayton Combined Cycle Strategies for Zero-Carbon Grid -- 6.6 Salt-Cooled Reactors Coupled to NACC Power System -- 6.7 Sodium-Cooled Reactors Coupled to NACC Power System -- 6.8 Power Cycle Comparisons -- 6.9 Summary -- References -- Chapter 7: Fission Nuclear Power Plants for Renewable Energy Source -- 7.1 Introduction -- 7.2 Electricity Markets -- 7.2.1 Global Electricity Consumption Set to Explode -- 7.2.1.1 Market Drivers -- 7.2.1.2 Market Restraints -- 7.2.1.3 Market Issues -- 7.2.1.4 Challenges -- 7.3 California and Others Are Getting It Wrong -- 7.4 Outlook for Power Generation -- 7.5 Why We Need Nuclear Power Plants -- 7.6 Is Nuclear Energy Renewable Source of Energy -- 7.6.1 Argument for Nuclear as Renewable Energy -- 7.6.2 Argument for Nuclear as Renewable Energy -- 7.6.3 Conclusion -- References -- Chapter 8: Energy Storage Technologies and Their Role in Renewable Integration -- 8.1 Introduction -- 8.2 The Electric Grid -- 8.3 Power Generation -- 8.4 Transmission and Distribution -- 8.5 Load Management -- 8.6 Types of Storage Technology -- 8.6.1 Kinetic Energy Storage or Flywheel Concept -- 8.6.2 Superconducting Magnetic Energy Storage -- 8.6.3 Batteries -- 8.6.3.1 Lead-Acid Batteries -- 8.6.3.2 Lithium-Ion Batteries -- 8.6.4 Other and Future Batteries in Development -- 8.7 A Battery-Inspired Strategy for Carbon Fixation -- 8.8 Saliva-Powered Battery -- 8.9 Summary -- References -- Appendix A: Global Energy Interconnection -- Introduction -- Global Energy Challenges -- Energy Security -- Climate Change -- Environmental Pollution -- Appendix B: Grid Integration of Large Capacity -- Introduction -- Expanding Energy Access -- Decarbonization. Appendix C: Energy Storage for Power Grids and Electric Transportation -- Introduction -- Energy Stage Technology -- Energy Storage for Electric Grid Applications -- High-Power/Rapid Discharge Applications -- Energy Management Applications -- Energy Storage for Transportation Applications -- Appendix D: Coping with the Energy Challenge -- Introduction -- Index. 9783319707204 print version oai:cds.cern.ch:2663593 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5162557 ebook ebook EBL201902 Engineering SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2663586 SzGeCERN 20210421203032.0 9783319697147 electronic version electronic version 9783319697147 print version 9783319697154 electronic version electronic version oai:cds.cern.ch:2663586 cerncds:BOOK EBL 5161619 eng TK7888.4TK7895.M5TK5 004.678 Serpanos, Dimitrios Internet-of-things (IoT) systems architectures, algorithms, methodologies Cham Springer 2017 102 p ebook Intro -- Dedication -- Preface -- Acknowledgements -- Contents -- Chapter 1: The IoT Landscape -- 1.1 What Is IoT? -- 1.2 Applications -- 1.3 Architectures -- 1.4 Wireless Networks -- 1.5 Devices -- 1.6 Security and Privacy -- 1.7 Event-Driven Systems -- 1.8 This Book -- Reference -- Chapter 2: IoT System Architectures -- 2.1 Introduction -- 2.2 Protocols Concepts -- 2.3 IoT-Oriented Protocols -- 2.4 Databases -- 2.5 Time Bases -- 2.6 Security -- References -- Chapter 3: IoT Devices -- 3.1 The IoT Device Design Space -- 3.2 Cost of Ownership and Power Consumption -- 3.3 Cost per Transistor and Chip Size -- 3.4 Duty Cycle and Power Consumption -- 3.5 Platform Design -- 3.6 Summary -- References -- Chapter 4: Event-Driven System Analysis -- 4.1 Introduction -- 4.2 Previous Work -- 4.3 Motivating Example -- 4.4 IoT Network Model -- 4.4.1 Events -- 4.4.2 Networks -- 4.4.3 Devices and Hubs -- 4.4.4 Single-Hub Networks -- 4.4.5 Multi-hub Networks -- 4.4.6 Network Models and Physical Networks -- 4.5 IoT Event Analysis -- 4.5.1 Event Populations -- 4.5.2 Stochastic Event Populations -- 4.5.3 Environmental Interaction Modeling -- 4.5.4 Event Transport and Migration -- References -- Chapter 5: Industrial Internet of Things -- 5.1 Introduction -- 5.2 Industrie 4.0 -- 5.3 Industrial Internet of Things (IIoT) -- 5.4 IIoT Architecture -- 5.5 Basic Technologies -- 5.6 Applications and Challenges -- References -- Chapter 6: Security and Safety -- 6.1 Introduction -- 6.2 Systems Security -- 6.3 Network Security -- 6.4 Generic Application Security -- 6.5 Application Process Security and Safety -- 6.6 Reliable-and-Secure-by-Design IoT Applications -- 6.7 Run-Time Monitoring -- 6.8 The ARMET Approach -- 6.9 Privacy and Dependability -- References -- Chapter 7: Security Testing IoT Systems -- 7.1 Introduction -- 7.2 Fuzz Testing for Security. 7.2.1 White-Box Fuzzing -- 7.2.2 Black-Box Fuzzing -- 7.3 Fuzzing Industrial Control Network Systems -- 7.4 Fuzzing Modbus -- 7.4.1 The Modbus Protocol -- 7.4.2 Modbus/TCP Fuzzer -- References -- Index. EBL201902 Computing and Computers SzGeCERN BOOK Wolf, Marilyn https://cds.cern.ch/auth.py?r=EBLIB_P_5161619 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2663586 BOOK MIGRATED 2663571 SzGeCERN 20210421203034.0 9783319698649 electronic version electronic version 9783319698649 print version 9783319698663 electronic version electronic version oai:cds.cern.ch:2663571 cerncds:BOOK EBL 5153561 eng TA357-359TJ265QC319. 621.402 Das, Malay K Modeling transport phenomena in porous media with applications Cham Springer 2017 250 p ebook Mechanical engineering series Intro -- Preface -- Contents -- 1 Introduction -- 1.1 Physical Mechanisms -- 1.2 Representative Elementary Volume -- 1.3 Mathematical Modeling of Fluid Flow -- 1.4 Darcy's Law -- 1.5 Microscale Phenomena -- 1.6 Applications -- 1.7 Terminology -- 1.8 Closure -- Bibliography -- Modeling Flow and Transport in Porous Media -- Multiphase Flow in Porous Media -- Biomedical Modeling in Porous Media -- Numerical Techniques in Porous Media -- Experiments in Porous Media -- Hierarchical Modeling -- Turbulent Flow -- 2 Equations Governing Flow and Transport in Porous Media -- 2.1 Darcy's Law -- 2.1.1 Cartesian and Cylindrical Coordinate Systems -- 2.1.2 Inhomogeneous Media -- 2.1.3 Anisotropic Media -- 2.1.4 Compressible Flow -- 2.1.5 Effect of Gravity -- 2.2 Brinkman-Corrected Darcy's Law -- 2.3 Forschheimer-Extended Darcy's Law -- 2.4 Non-darcy Model of Flow -- 2.4.1 Non-dimensionalization -- 2.4.2 Special Cases -- 2.4.3 Compressible Flow -- 2.4.4 Turbulent Flow -- 2.5 Energy Equation -- 2.5.1 Thermal Non-equilibrium Model -- 2.5.2 Compressible Flow -- 2.6 Unsaturated Porous Medium -- 2.6.1 Oil-Water Flow -- 2.6.2 Multiphase Multicomponent Flow -- 2.7 Mass Transfer -- 2.8 Combined Heat and Mass Transfer -- 2.9 Flow, Heat, and Mass Transfer -- 2.10 Nanoscale Porous Media -- 2.11 Multiscale Porous Media -- 2.12 Closure -- References -- 3 Mesoscale Interactions of Transport Phenomena in Polymer Electrolyte Fuel Cells -- 3.1 Introduction -- 3.2 Description of Charge Transport in Porous Media -- 3.2.1 Special Considerations -- 3.3 Mesoscale Models in Porous Media -- 3.4 Microstructure Generation -- 3.5 Lattice Boltzmann Modeling -- 3.5.1 Methodology -- 3.5.2 Representative Highlights -- 3.6 Electrochemistry-Coupled Direct Numerical Simulation -- 3.6.1 Methodology -- 3.6.2 Representative Results -- 3.7 Summary and Outlook -- Acknowledgements -- References. 4 Porous Media Applications: Electrochemical Systems -- 4.1 Introduction -- 4.2 Thermodynamic, Kinetic, and Transport Behavior of Li-Ion Battery Materials -- 4.2.1 Open Circuit Potential -- 4.2.2 Entropic Coefficient -- 4.2.3 Cell Capacity and C-Rate -- 4.2.4 Intercalation Kinetics -- 4.2.5 Electrolyte Transport Properties -- 4.3 Modeling Isothermal Operation of a Li-Ion Cell -- 4.3.1 Macrohomogeneous Description -- 4.3.2 Comments on Mathematical Nature of Governing Equations and Solution -- 4.3.3 Results and Discussion -- 4.4 Importance of Thermal Effects and Its Influence on Electrochemical Operation -- 4.4.1 Energy Equation to Define Temperature Changes -- 4.4.2 Results and Discussion -- 4.5 Direct Numerical Simulation -- 4.5.1 Governing Equations -- 4.5.2 Microstructural Effects: Properties for Composite Electrodes -- 4.6 Summary and Outlook -- Acknowledgements -- References -- 5 Porous Media Applications: Biological Systems -- 5.1 Introduction -- 5.1.1 Aneurysm and the Treatment Options -- 5.1.2 Blood Flow in Coil-Embolized Aneurysm: Role of Modeling and Simulation -- 5.2 Analytical Solutions of Flow in a Channel and a Tube -- 5.2.1 Pulsatile Flow Through a Tube with Clear Media -- 5.2.2 Steady Flow Through a Channel Filled with Porous Media -- 5.2.3 Steady Flow Through a Tube Filled with Porous Media -- 5.2.4 Pulsatile Flow Through a Channel Filled with Porous Media -- 5.2.5 Pulsatile Flow Through a Tube Filled with Porous Media -- 5.3 Pulsatile Flow in a Porous Bulge -- 5.3.1 Governing Equations -- 5.3.2 Flow Parameters -- 5.3.3 Pulsatile Flow in a Porous Bulge: Numerical Solution -- 5.3.4 Validation of the Finite Volume Solver -- 5.3.5 Pulsatile Flow in a Bulge -- 5.3.6 Pulsatile Flow in a Patient-Specific Geometry -- 5.4 Rheology of Biological Fluids -- 5.4.1 Role of RBC in Blood Rheology -- 5.4.2 Realistic Blood Model -- 5.5 Closure. References -- 6 Oscillatory Flow in a Mesh-Type Regenerator -- 6.1 Introduction -- 6.1.1 Stirling Refrigerator -- 6.1.2 Regenerator -- 6.2 Thermodynamic and Transport Models -- 6.3 Transport Modeling of a Mesh-Type Regenerator -- 6.3.1 Thermal Non-Equilibrium -- 6.4 Non-Darcy Thermal Nonequilibrium Model -- 6.4.1 Flow Equations in One-Dimensional Unsteady Form -- 6.4.2 Specification of Model Parameters -- 6.4.3 Time Constant -- 6.4.4 Harmonic Analysis -- 6.4.5 Numerical Solution of the Energy Equation -- 6.5 Results and Discussion -- 6.5.1 Flow Behavior -- 6.5.2 Thermal Performance -- 6.5.3 Dynamic Steady State -- 6.5.4 Heat Losses -- 6.5.5 Coarse Mesh -- 6.5.6 Transient Response -- 6.6 Conclusions -- References -- 7 Geological Systems, Methane Recovery, and CO2 Sequestration -- 7.1 Introduction -- 7.1.1 Gas Hydrate as an Energy Resource -- 7.1.2 Environmental Concerns and CO2 Sequestration -- 7.1.3 Nature of Marine Hydrate Reservoirs and CH4 Recovery -- 7.1.4 Role of Modeling and Simulation -- 7.2 Mathematical Modeling -- 7.2.1 Single-Phase Model -- 7.2.2 Governing Equations -- 7.2.3 Constitutive Relations -- 7.2.4 Initial and Boundary Conditions -- 7.3 Two-Phase Model -- 7.3.1 Governing Equations -- 7.3.2 Equilibrium Data for Hydrate Stability -- 7.3.3 Porosity and Absolute Permeability -- 7.3.4 Relative Permeability and Capillary Pressure -- 7.3.5 Gas Phase Viscosity -- 7.3.6 Specific Heat Capacities -- 7.3.7 Heat of Hydrate Formation -- 7.3.8 Equivalent Thermal Conductivity -- 7.3.9 Initial and Boundary Conditions -- 7.4 Results and Discussion -- 7.4.1 Evolution of Pressure and Temperature Profiles -- 7.4.2 Sensitivity Analysis -- 7.4.3 Multiphase Simulation -- 7.4.4 Evolution of Pressure and Temperature Profiles -- 7.4.5 Sensitivity Analysis: Thermal Conductivity -- 7.4.6 Sensitivity Analysis: Medium Porosity -- 7.5 Closure -- References. 8 Closure -- Index. EBL201902 SzGeCERN Engineering BOOK Mukherjee, Partha P Muralidhar, K https://cds.cern.ch/auth.py?r=EBLIB_P_5153561 ebook 201902 n 201908 21 PUBLIC https://catalogue.library.cern/legacy/2663571 BOOK MIGRATED 2663565 SzGeCERN 20200503232024.0 9781351177498 electronic version electronic version 9781611901184 electronic version electronic version 9781611901184 print version oai:cds.cern.ch:2663565 cerncds:BOOK EBL 5152922 eng HD42 .F674 2017 658.4053 Forester, John F Planning in the face of conflict the surprising possibilities of facilitative leadership Chicago, IL Routledge 2013 329 p Cover -- Title Page -- Copyright Page -- Table of Contents -- Acknowledgments -- Introduction -- So What?: Listening to Learn, Solve Problems, and Plan Together -- Method: Exploring Practice Stories -- Part 1 Better Governance When Interests and Values Conflict -- Chapter 1 Mediation and Collaboration in Architecture and Community Planning -- An Early Discovery -- A Big Breakthrough -- A Traditional Tool for Reaching Consensus: Talking Circles -- The Framework: Assess, Prepare, Facilitate, and Follow Through -- Exploring Problem-Solving Capacity -- Possibilities for Planners -- Afterword -- Chapter 2 From Conflict Generation through Consensus Building Using Many of the Same Skills -- Skills That Travel: Coalition Building -- To Meet or Not to Meet: Pro-Life and Pro-Choice -- Corridor Planning I -- Bridging Gaps -- Building Problem-Solving Capacity -- Beyond Gridlock -- Neutrality -- Successes and Challenges -- Skills for Mediators and Negotiators -- Afterword -- Part 2 Learning and State Policy Making -- Chapter 3 Dispute Resolution Meets Policy Analysis: Native Gathering Rights on Private Lands -- The Native Hawaiian Gathering-Rights Case -- "Let's Have a Study Group" -- Managing Expectations -- De-Emphasize Agreements, Frame Shared Questions -- The Learning Curve -- Checking With Constituencies -- A Surprising Outcome -- Choreographing Stories -- Probe, Don't Presume, or Learn Before Deciding -- Afterword -- Chapter 4 From Nightmare to National Implications: Off-Highway Vehicle and Parks Regulation -- Inheriting History and Assessing the Conflict -- Getting Going: Convening and Reframing -- Mindmapping and Agenda Setting -- Education -- Responding to Actual Interests -- Threats to the Process -- Breakthrough -- Lessons -- Taking the Risk to Be in a Conversation -- Afterword -- Part 3 Land Use and Community Planning. Chapter 5 Creativity in the Face of Urban Design Conflict -- Early Impressions of Possibilities: Conflict Assessment -- Building Trust, Exploring the Willingness to Meet -- Learning about Interests -- A Promising Strategy -- Convening the Parties -- Framing an Agenda and the Two-Track Process Design -- Taking a Walk Together -- Taking Advantage of Differing Priorities -- Bringing In and Guiding Additional Expertise -- Public Review -- Beyond the Fixed Pie: Creating Value or Joint Gains -- Managing the Drift -- Afterword -- Chapter 6 From Environmental to Urban to Intermunicipal Disputes -- Entry to the Field: A First Nations Environmental and Economic Development Case -- From Neighborhood Disputes to City Planning Issues -- Learning from a Light Rail Case -- From "My Expert Versus Yours" to Joint Fact Finding -- Creating a Municipal Mediation Capacity -- Ensuring Municipal Ownership and Control -- Creating a Track Record: Municipal Annexation Cases -- Institutionalized Capacity -- Possibilities for City Planners -- Afterword -- Part 4 Community Development and Governance -- Chapter 7 Facilitation, Ethnicity, and the Meaning of Place -- The Swinomish Project -- Planning in the Shadow of the Supreme Court's Brendale Decision -- Land and Governance: Ambiguity and Safe Spaces -- The Fellowship Circle Process -- The Significance of Ceremony -- The Challenge of Recognizing Our History in Public Processes -- Ceremony as Process Design: Beyond Argument to Dialogue -- Convening a Four-Day Circle Process -- Taking Time to Remember, to Reconstruct Histories, and to Listen -- Social Learning and Recognition -- Reconciliation and Fundamental Differences -- County Planning Challenges -- Beginning Again -- Enduring Differences, Recognizing Opportunities for Collaboration -- Afterword -- Chapter 8 Collaborative Civic Design in Chelsea, Massachusetts. Divorce, Custody, and Maintenance: Mediation in Israel -- Back to Massachusetts and on to MIT -- Affordable Housing and Public Disputes -- The Chelsea Charter Revision Experience -- Designing a Participatory Process -- From Meetings to Representatives to a Draft Charter to Ratification -- Afterword -- Part 5 Environmental and Regional Planning -- Chapter 9 Consensus Building and Water Policy in San Antonio -- Background: Growth and Environmental Quality, Business and Neighborhood Interests -- Getting Involved in the Case -- Conflict Assessment -- Early Stakeholder Meetings -- Building Up the Middle To Deal With Extremes -- Diverse Local Leadership -- Surprises After Convening -- Local Knowledge and Talent -- Mediation as Policy Analysis -- Shared Principles -- Navigating Politics As Usual -- A Solution: Studying Competing Strategies -- Challenges of Closure: From the Groan Zone to "We Can Do This! -- Near Consensus: A Big Breakthrough -- Reflections on Power, Process, and Politics -- Afterword -- Chapter 10 Facilitating the Land-Use Planning Process for Vancouver Island -- Beyond Either-Or Negotiation -- The Mechanics of the Mediation -- Working for Inclusion -- Accountability to Constituencies -- Preparatory Training -- Gaining Power in Negotiations -- Perspectives within Groups -- Ceremonies of Beginning -- Ground Rules -- Rephrasing and Focusing Discussions -- Rescuing Discussions -- Mediated Negotiations as a Forgiving Process -- Interest-Based Negotiations -- Consensus Recommendations and Turning Points -- Recognizing Adversaries -- Cycles of Community Building, Resignation, and Hope -- Afterword -- Part 6 Deep Value Differences and Reinventing Community Problem Solving -- Chapter 11 Facilitating Statewide HIV/AIDS Policies and Priorities in Colorado -- A CDC Directive Means Change -- The Ad Hoc Process -- The Process Takes Off. Relationship Building and the Use of Language -- Warning Signs and Stumbling Blocks -- Visual Tools and the Use of Celebration -- A Plan Emerges, Things Heat Up -- Small Group Mediation: Morality and 14 Need Statements -- The Racial Divide -- Picking Up the Pieces -- Time to Heal Wounds -- Postscript -- Afterword -- Chapter 12 Activist Mediation and Public Disputes -- Public Dispute Resolution, Not Environmental Mediation -- Four Debates in Public Dispute Resolution -- Frustrations and Rewards in Public Dispute Resolution -- Afterword -- Conclusion Planning, Learning, and Governing Through Conflict -- Works Cited in the Profiles -- Discussion Questions. https://cds.cern.ch/auth.py?r=EBLIB_P_5152922 ebook ebook EBL City planning-Case studies EBL Conflict management-Case studies EBL Consensus (Social sciences)-Case studies EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 21 PUBLIC BOOK DELETED 2663540 SzGeCERN 20210421203039.0 9781603586900 electronic version electronic version 9781603586900 print version 9781603586917 electronic version electronic version oai:cds.cern.ch:2663540 cerncds:BOOK EBL 5149048 eng HD60.3 .T46 2016 658.4/083 Thomas, Martin P The multicapital scorecard rethinking organizational performance White River Junction, VT Chelsea Green Publishing 2016 210 p ebook Intro -- Contents -- Foreword -- Acknowledgments -- Introduction -- PART ONE: The Dawning of Multicapitalism -- 1. An Overview of the MultiCapital Scorecard -- Why We Need the MultiCapital Scorecard -- How to Use This Book -- 2. Vital Capitals and the MultiCapital Scorecard -- What Is Capital? -- Six Vital Capitals -- How the MultiCapital Scorecard Improves on Context-Based Sustainability -- 3. Putting the MultiCapital Scorecard into Practice -- Scoring and Weighting in the MultiCapital Scorecard -- The MultiCapital Scorecard as a Stepwise Methodology -- 4. Financial Capitals in the MultiCapital Scorecard -- Equity -- Debt -- Practice of the MultiCapital Scorecard with Respect to Financial Performance -- PART TWO -- 5. Case Study: Worked Reports for Company ABC -- The Case Study -- Understanding the Reports That Follow -- 6. Group Consolidation Principles for MultiCapital Scorecards -- PART THREE: Key Issues in the MultiCapital Scorecard -- 7. Materiality -- Capital- and Stakeholder-Based -- How Stakeholder Standing Is Established -- Absolute and Relative Materiality -- The Materiality Template -- 8. Intangibles -- Global Brand Values -- How Does the MultiCapital Scorecard Work for Brands? -- Reputational Capital -- 9. Other Key Issues -- Integrated Reporting -- Shortfalls and Surpluses -- Double-Loop Learning -- External Assurance -- 10. Conclusions: Mind the Gaps1 -- A Broad View of How the MultiCapital Scorecard Works -- Other Ways the MultiCapital Scorecard Bridges the Gaps -- APPENDIX A: Causal Textures: Environments and Organizations -- APPENDIX B: The Sustainability Code -- APPENDIX C: Larry Hirschhorn's Psychodynamic Framework -- APPENDIX D: The Theory and Use of Context-Based Metrics -- APPENDIX E: Accounting Adjustments Recommended for the MultiCapital Scorecard -- Notes -- Bibliography -- About the Authors. EBL201902 Information Transfer and Management SzGeCERN EBL Benchmarking (Management) EBL Management-Environmental aspects BOOK McElroy, Mark W https://cds.cern.ch/auth.py?r=EBLIB_P_5149048 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2663540 BOOK MIGRATED 2663529 SzGeCERN 20210421203040.0 9783319650814 electronic version electronic version 9783319650814 print version 9783319650821 electronic version electronic version oai:cds.cern.ch:2663529 cerncds:BOOK EBL 5144560 eng QA76.9.D35HD30.2 1.6425068 Marx Gómez, Jorge Engineering and management of data centers an IT service management approach Cham Springer 2017 290 p ebook Service science research and innovations in the service economy "Contents" -- "Contributors" -- "Foundations of Data Center: Key Concepts and Taxonomies" -- "1 Introduction" -- "2 Fundamental Concepts" -- "3 Overview of Data Centers" -- "4 The Evolution of the Data Center" -- "5 Types of Data Centers (Tiers I, II, III, IV)" -- "6 Organizational Charts for Data Centers" -- "7 Best Practices for Operational Efficiency" -- "8 Taxonomies of Services Provided and Consumed in Data Centers" -- "9 The Data Center as a Service System" -- "10 Value of Data Centers" -- "11 Conclusion" -- "References" -- "ITSDM: A Methodology for IT Services Design" -- "1 Introduction" -- "2 Background and Research Approach" -- "3 Theoretical Background on IT Service Design Processes" -- "4 The IT Service Design Methodology: Description and Illustrative Case" -- "4.1 ITSDM Description" -- "4.2 ITSDM: Illustrative Case" -- "5 Conclusions" -- "References" -- "Using Dashboards to Reach Acceptable Risk in Statistics Data Centers Through Risk Assessment and Impact" -- "1 Introduction" -- "2 Literature Review" -- "2.1 Identifying Risks" -- "2.2 Identifying Risks" -- "2.3 Asset’s Attributes for Risk Database" -- "2.4 Threats and Vulnerabilities" -- "2.5 Impact Analysis" -- "2.6 Controls" -- "3 Research Approach" -- "3.1 Risk Management" -- "3.2 Information Gathering Methods and Tools" -- "3.3 Qualitative Risk Assessment Methodology or Approach" -- "3.4 Quantitative Risk Assessment Methodology" -- "4 Case Study and Data Collection" -- "4.1 Assets Information Identification" -- "4.2 Collecting Controls Information" -- "4.3 Collecting Controls Information" -- "4.4 Collecting Quantitative Risk Data" -- "4.5 Collecting Quantitative Risk Data" -- "4.6 Design and Build Risk Database" -- "5 Dashboard and Risk Analysis" -- "5.1 Risk Scenario 1: Threats and Impact Analysis Based on Qualitative Approach". "5.2 Risk Scenario 2: Decisions Based on Historical Risk Data" -- "5.3 Risk Scenario 3: Risk Views at CRM Service Level" -- "6 Conclusions" -- "References" -- "Risk and Data Center Planning" -- "1 Introduction" -- "2 Risk Management and Business Continuity Management" -- "2.1 Business Impact Analysis" -- "2.2 Risk Assessment" -- "2.3 Strategy Development" -- "3 Discussion" -- "3.1 Preparedness" -- "3.2 Mitigation" -- "3.3 Exercises" -- "3.4 Response" -- "3.5 Recovery" -- "3.6 Trends and Implications" -- "4 Conclusions" -- "References" -- "Best Practices in Data Center Management: Case – KIO Networks" -- "1 Introduction" -- "2 The Importance of Data Centers" -- "3 KIO Networks Background" -- "3.1 Background" -- "3.2 Mission and Vision" -- "3.3 Solutions" -- "3.4 KIO Networks DNA" -- "3.5 KIO Networks’ Data Centers" -- "3.6 The Value of Certifications" -- "3.7 Recognition" -- "3.8 Environmental Policy: KIO Networks’ Green Side" -- "3.9 Recognition from KIO Networks Clients" -- "4 Information Collection Method for the KIO Networks Case" -- "5 Best Practices at KIO Data Center Management" -- "5.1 People" -- "5.1.1 The Profile of the Human Capital Manager at KIO Networks" -- "5.1.2 The Recruitment and Selection Process at KIO Networks" -- "5.1.3 Training and Coaching Process" -- "5.1.4 What KIO Networks Knows Is Best to Do with Its Human Talent" -- "5.1.5 KIO Networks’ Personnel-Related Organizational Lessons Learned" -- "5.1.6 What has Not Worked Out for Developing Human Talent" -- "5.2 The Keys Factors for Good Performance" -- "5.2.1 Benchmarking" -- "5.2.2 Availability and Maintenance of Technological Equipment" -- "5.2.3 Increasing Operating Cost Efficiency" -- "5.2.4 Considerations for Good Human Talent Performance" -- "5.2.5 Considerations for Good Process Performance" -- "5.2.6 Value-Generating Process Frameworks". "6 Summary of Implications for Research and Practice" -- "7 Conclusions" -- "References" -- "QoS in NaaS (Network-as-a-Service) Using Software Defined Networking" -- "1 Introduction" -- "2 Theoretical Background on Cloud Computing Services" -- "2.1 NaaS Functionality" -- "3 Network Quality of Service (QoS)" -- "3.1 QoS in Cloud Network Services (NaaS)" -- "4 What Is Software Defined Networking (SDN)?" -- "4.1 SDN Principles" -- "4.2 SDN Architecture" -- "4.3 OpenFlow" -- "5 QoS and Software Defined Networking" -- "5.1 QoS Before Software Defined Networking" -- "5.2 QoS Improvements Using Software Defined Networking" -- "5.2.1 Resource Reservation" -- "5.2.2 Per-flow Routing" -- "5.2.3 Queue Management and Packet Scheduling" -- "5.2.4 Policy Enforcement" -- "5.3 QoS Approaches Using SDN in Normal Networks" -- "5.4 QoS Approaches Using SDN in Cloud Environment" -- "6 Conclusion" -- "References" -- "Optimization of Data Center Fault Tolerance Design" -- "1 Introduction" -- "2 Related Work" -- "2.1 Availability Management and Modeling" -- "2.2 The Redundancy Allocation Problem" -- "2.2.1 Definitions" -- "2.2.2 Solution Algorithms" -- "3 A Flexible Redundancy Allocation Problem for Data Center Design" -- "3.1 Requirements Analysis" -- "3.1.1 Description of Possible Design Alternatives" -- "3.1.2 Estimation of IT Service Availability" -- "3.1.3 Estimation of IT Service Costs" -- "3.1.4 Design Optimization" -- "3.2 Problem Definition" -- "3.3 Availability and Cost Prediction" -- "3.4 Solution Algorithms" -- "4 Use-Case Example" -- "5 Conclusion" -- "References" -- "Energetic Data Center Design Considering Energy Efficiency Improvements During Operation" -- "1 Motivation" -- "2 Basics" -- "2.1 Data Center Usage Concepts – of Contracts and Payment Models" -- "2.2 Impact of Virtualization" -- "3 State of the Art Data Center Planning". "3.1 Data Center Power Design: The Architecture of (Uninterruptible) Power Supply" -- "3.1.1 Uninterruptible Power Supply" -- "3.2 Data Center Cooling" -- "3.2.1 Free Cooling" -- "3.2.2 Cooling Chain in the Data Center" -- "3.2.3 Air Conditioning" -- "3.2.4 Thermal Emergencies and Cooling Failures" -- "4 Combining Data Center Design and Dynamic Optimization Techniques" -- "4.1 Data Center Power Saving with Dynamic Server Consolidation" -- "4.2 Placing Servers in IT Rooms: An Energetic View" -- "4.3 Matching IT Room Power and Cooling Capacity" -- "4.4 Energy Saving Potential" -- "5 Conclusions" -- "References" -- "Demand-Side Flexibility and Supply-Side Management: The Use Case of Data Centers and Energy Utilities" -- "1 Motivation" -- "2 Perspective Description and Concepts" -- "2.1 Local Energy Management" -- "2.2 Coordinated Energy Management" -- "2.2.1 Cooperation Through On-demand D/R" -- "2.2.2 Cooperation Through Continuous D/R" -- "3 Mechanisms and Strategies for Flexibility" -- "3.1 Workload" -- "3.1.1 Consolidation" -- "3.1.2 Shifting" -- "3.1.3 Migration" -- "3.1.4 Frequency Scaling" -- "3.1.5 Summary" -- "3.2 HVAC" -- "3.3 Uninterrupted Power Supply" -- "3.4 Green Agreements" -- "3.4.1 Green SLA" -- "3.4.2 Green SDA" -- "3.4.3 Summary" -- "4 EMS Architecture" -- "4.1 Local Energy Management" -- "4.2 Coordinated Energy Management" -- "4.2.1 Cooperation Through On-demand D/R" -- "4.2.2 Orchestration Through Continuous D/R" -- "5 Prospects and Challenges" -- "References" -- "DevOps: Foundations and Its Utilization in Data Center" -- "1 Introduction" -- "2 Data Centers" -- "3 DevOps Approach" -- "3.1 Introduction" -- "3.2 DevOps Approach" -- "3.3 Development (Software Engineering)" -- "3.3.1 Scrum Interaction Workflow Framework" -- "3.3.2 Roles" -- "3.4 Quality Assurance (QA)" -- "3.4.1 Governance" -- "3.4.2 Construction". "3.4.3 Verification" -- "3.4.4 Deployment" -- "3.5 Infrastructure Technology" -- "3.5.1 Controlled Environments" -- "3.5.2 DevOps and ITIL" -- "4 Examples of DevOps Approach Implementation" -- "4.1 Mood of the Tweeters from the Twitter Social Network in Mexico" -- "4.2 Economic Census of 2014 Performed by the National Institute of Statistic and Geography, México" -- "5 Main Recommendations and Cautions in the Implementation of a DevOps Approach" -- "6 Conclusions" -- "References" -- "Sustainable and Resilient Network Infrastructure Design for Cloud Data Centers" -- "1 Introduction" -- "2 Overview of Data Center Networks" -- "2.1 Data Center Network Topology" -- "2.1.1 Three-Tier" -- "2.1.2 Fat-Tree" -- "2.1.3 BCube" -- "2.1.4 HyperFlatNet" -- "2.2 Traffic Load" -- "2.2.1 Computationally Intensive Workloads (CIWs)" -- "2.2.2 Data-Intensive Workloads (DIWs)" -- "2.2.3 Balanced Workloads (BWs)" -- "2.3 Data Center Traffic Characteristics" -- "2.4 Energy Efficiency of Data Center Network" -- "2.5 Data Center Network Failures" -- "3 Topological Modelling and Metrics" -- "3.1 Network Modelling and Analysis Tools" -- "3.2 DCN Architectural Models" -- "3.2.1 Three-Tier" -- "3.2.2 Fat-Tree" -- "3.2.3 BCube Architecture Modelling" -- "3.2.4 HyperFlatNet Architecture" -- "3.3 Energy Consumption Modelling" -- "3.4 Network Performance Measurement" -- "3.5 Topological Metrics" -- "3.5.1 Network Graph Model" -- "3.5.2 Topological Metrics" -- "Average Nodal Degree ()" -- "Network Diameter" -- "Average Shortest Path Length" -- "Betweenness Centrality" -- "Closeness Centrality" -- "Eccentricity" -- "Eigenvector Centrality" -- "4 Simulation Studies" -- "4.1 Case Studies" -- "4.2 Network Performance Evaluation" -- "4.2.1 Topology Setup" -- "4.2.2 Topological Measurement" -- "4.2.3 Simulation Studies" -- "5 Conclusions" -- "References". "Application Software in Cloud-Ready Data Centers: A Survey". EBL201902 Computing and Computers SzGeCERN BOOK Mora, Manuel Raisinghani, Mahesh S Nebel, Wolfgang O'Connor, Rory V https://cds.cern.ch/auth.py?r=EBLIB_P_5144560 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2663529 BOOK MIGRATED 2663508 SzGeCERN 20210421203044.0 9783319685076 electronic version electronic version 9783319685076 print version 9783319685083 electronic version electronic version oai:cds.cern.ch:2663508 cerncds:BOOK EBL 5132350 eng TJ241-254.7TL1-483TJ 621.43 23 Maurya, Rakesh Kumar Characteristics and control of low temperature combustion engines employing gasoline, ethanol and methanol Cham Springer 2017 553 p ebook Mechanical engineering series Intro -- Preface -- Contents -- About the Author -- Chapter 1: Introduction -- 1.1 Motivation -- 1.1.1 Environmental Concerns -- 1.1.2 Regulatory Measures -- 1.1.3 Engine Fuel Challenge -- 1.2 Conventional Engine Concepts -- 1.2.1 Spark Ignition Engines -- 1.2.2 Compression Ignition Engines -- 1.3 Automotive Fuels -- 1.4 Alternative Engines -- 1.4.1 Alternative Powertrains -- 1.4.2 Alternative Combustion Concepts -- References -- 2: Low Temperature Combustion Engines -- 2.1 Low Temperature Combustion Principle -- 2.2 Homogeneous Charge Compression Ignition -- 2.2.1 HCCI Fundamentals -- 2.2.2 HCCI Auto-Ignition and Heat Release -- 2.2.3 HCCI Advantages and Challenges -- 2.2.4 Parameters Influencing HCCI Combustion -- 2.2.4.1 Equivalence Ratio -- 2.2.4.2 Fuel Properties -- 2.2.4.3 Intake Temperature and Pressure -- 2.2.4.4 Engine Speed -- 2.2.4.5 Exhaust Gas Recirculation -- 2.2.4.6 Inhomogeneities -- 2.3 Spark-Assisted HCCI Engine -- 2.4 Thermally Stratified Compression Ignition -- 2.5 Partially Premixed Compression Ignition -- 2.5.1 Diesel PPCI -- 2.5.2 Gasoline PPCI -- 2.6 Reactivity-Controlled Compression Ignition -- 2.6.1 RCCI Fundamentals -- 2.6.2 RCCI Fuel Management -- 2.6.3 RCCI Engine Management -- 2.6.4 Direct Injection Dual Fuel Stratification -- 2.6.5 RCCI vis-à-vis Other LTC Strategies -- References -- 3: LTC Fuel Quality Requirements -- 3.1 Autoignition Characteristics -- 3.1.1 Autoignition Chemistry -- 3.1.2 Impact of Fuel Molecular Structure -- 3.1.3 Empirical Auto-ignition Modelling -- 3.1.4 Fuel Effects on Autoignition in LTC Engines -- 3.1.5 Autoignition Quality Test Limitations -- 3.2 LTC Fuel Index -- 3.2.1 Octane Index -- 3.2.2 CAI/HCCI Index -- 3.2.3 Lund-Chevron HCCI Number -- 3.2.4 LTC Fuel Performance Index -- 3.3 LTC Fuel Design -- 3.4 Fuel Requirement in LTC Mode -- References. Chapter 4: Premixed Charge Preparation Strategies -- 4.1 External Charge Preparation -- 4.1.1 Gasoline-Like Fuels -- 4.1.2 Diesel-Like Fuels -- 4.2 Internal Charge Preparation -- 4.2.1 Gasoline-Like Fuels -- 4.2.2 Diesel-Like Fuels -- 4.3 Dual Fuel Charge Preparation -- 4.3.1 Single Fuel Direct Injection -- 4.3.2 Dual Fuel Direct Injection -- References -- 5: Combustion Control Variables and Strategies -- 5.1 Altering Time Temperature History -- 5.1.1 Intake Thermal Management -- 5.1.2 Exhaust Gas Recirculation -- 5.1.3 Variable Valve Actuation -- 5.1.4 Variable Compression Ratio -- 5.1.5 Water Injection -- 5.1.6 Boosting -- 5.1.7 In-Cylinder Injection Strategies -- 5.2 Altering Fuel Reactivity -- 5.2.1 Fuel-Air Equivalence Ratio -- 5.2.2 In-Cylinder Fuel Stratification -- 5.2.3 Dual Fuel -- 5.2.4 Fuel Additives -- References -- Chapter 6: Combustion Characteristics -- 6.1 Ignition Characteristics -- 6.1.1 Chemical Kinetics -- 6.1.2 Ignition Temperature and Ignition Delay -- 6.2 Heat Release Characteristics -- 6.2.1 Heat Release Estimation -- 6.2.2 Heat Release Rate in LTC Engines -- 6.2.3 Combustion Phasing and Duration -- 6.3 Combustion Efficiency -- 6.4 Pressure Rise Rate and Combustion Noise -- 6.4.1 HCCI Knock -- 6.4.2 Knock Metrics and High Load Limit -- 6.4.3 Controlling Pressure Rise Rate -- 6.4.3.1 Extension of Combustion Duration -- 6.4.3.2 Thermal and Fuel Stratification -- 6.4.3.3 Intake Boost and EGR -- 6.4.4 Combustion Noise -- 6.5 Combustion Instability and Cyclic Variations -- 6.5.1 Source of Cyclic Variability -- 6.5.2 Characterization of Cyclic Variability -- 6.5.2.1 Effect of Operating Parameters and Combustion Modes -- 6.5.2.2 Return Maps -- 6.5.2.3 Normal Distribution Analysis -- 6.5.2.4 Wavelet Analysis -- 6.5.2.5 Symbol Sequence Statistics -- 6.5.3 Sensing and Control -- References -- Chapter 7: Performance Characteristics. 7.1 LTC Operating Range -- 7.1.1 Operating Limitations -- 7.1.1.1 Ringing and Combustion Noise Limits -- 7.1.1.2 Combustion Instability Limits -- 7.1.1.3 Emission Limits -- 7.1.1.4 Maximum Cylinder Pressure Limits -- 7.1.1.5 Excessive Reactivity Limits -- 7.1.1.6 Oxygen Availability Limits -- 7.1.2 LTC Operating Range -- 7.2 Engine Efficiency -- 7.3 Specific Fuel Consumption -- 7.4 Exhaust Gas Temperature -- References -- Chapter 8: Emission Characteristics -- 8.1 Nitrogen Oxide Emissions -- 8.1.1 NOx Formation Mechanism -- 8.1.2 LTC Engines´ NOx Emission Characteristics -- 8.2 Carbon Monoxide Emissions -- 8.3 Unburned Hydrocarbon Emissions -- 8.4 Particulate Matter Emissions -- 8.4.1 Soot Emission -- 8.4.1.1 Soot Formation and Composition -- 8.4.1.2 Soot Emission in LTC Engines -- 8.4.2 Particle Number and Size Distribution -- 8.5 Unregulated Emissions -- 8.5.1 Hydrocarbon Species -- 8.5.2 Oxygenated Hydrocarbon Species -- 8.5.3 Polyaromatic Hydrocarbons -- References -- Chapter 9: Closed-Loop Combustion Control -- 9.1 Need of Combustion Control -- 9.2 Combustion Control Variables -- 9.2.1 Combustion Phasing -- 9.2.2 Ignition Delay -- 9.2.3 Engine Load -- 9.2.4 Exhaust Gas Temperature -- 9.2.5 Combustion Mode Switching -- 9.3 Combustion Feedback Sensors -- 9.3.1 In-Cylinder Pressure -- 9.3.2 Ion Current -- 9.3.3 Microphone and Knock Sensor -- 9.3.4 Engine Torque and Speed Fluctuations -- 9.4 Combustion Control Actuators -- 9.4.1 Fuel Injection System -- 9.4.2 Variable Valve Actuation -- 9.4.3 Fast Thermal Management -- 9.4.4 Dual Fuel (Fuel Octane/Reactivity) -- 9.5 Control Methods and Controllers -- 9.5.1 Manually Tuned Controllers -- 9.5.2 Model-Based Controllers -- References -- Chapter 10: Closure -- 10.1 Summary -- 10.2 Future Directions -- References -- Appendix 1Important Ethanol Reactions Rates and Cylinder Pressure Measurement. Appendix 2 Measured Cylinder Pressure Data Analysis -- In-Cylinder Pressure Data Analysis -- Cylinder Volume Calculations -- Mean Gas Temperature Analysis -- Instantaneous Work and Mean Effective Pressure Analysis -- Mass Burn Fraction Analysis -- Ringing Intensity Analysis -- Engine Efficiency Analysis -- Heat Release Rate Analysis -- Combustion Variability Quantification Analysis -- Appendix 3 Fuel Properties -- Index. EBL201902 SzGeCERN Engineering EBL Internal combustion engines-Combustion BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5132350 ebook 201902 n 201908 21 PUBLIC https://catalogue.library.cern/legacy/2663508 BOOK MIGRATED 2663474 SzGeCERN 20210421203048.0 9783319635606 electronic version electronic version 9783319635606 print version 9783319635613 electronic version electronic version oai:cds.cern.ch:2663474 cerncds:BOOK EBL 5117947 eng HD28-70HD60-HD60.5HF 658.408 23 Lu, Hualiang Building new bridges between business and society recent research and new cases in CSR, sustainability, ethics and governance Cham Springer 2017 252 p ebook CSR, sustainability, ethics and governance Intro -- Preface -- The Aim of This Book -- Introduction -- Contents -- Part I: CSR Origins -- Entrepreneurship´s Relationship to CSR -- 1 Three Venture Capitalists on Virtue and Business -- 2 Entrepreneurship and Ethics -- 3 The Values of Entrepreneurship -- 4 The Virtues of Entrepreneurship -- 5 Entrepreneurial Ethics as a Business Ethics Code -- 6 Entrepreneurial Ethics Contrasted to Corporate Social Responsibility -- 7 Conclusion -- References -- In the Pursuit of Building the Foundation for Sustainability -- 1 Introduction -- 2 Objectives -- 3 Conceptual Framework -- 4 Literature Review -- 4.1 Social Concerns -- 4.2 Environmental Concerns -- 4.3 Economic Concerns -- 5 Managing the Foundation for Sustainability -- 6 Conclusion -- References -- Risky Business? On the Interplay Between Social, Actuarial and Political Risks and Licences -- 1 Introduction -- 2 Conflicted SLO/CSR Theory and Praxis -- 3 The SAP-Troika -- 3.1 Social Licence to Operate -- 3.2 Actuarial (Legal) Licence to Operate -- 3.3 Political Licence to Operate -- 3.4 Risk and Regulation -- 4 The Social, Actuarial, Political (SAP) Licence and Risk Model -- 4.1 Actuarial Risk -- 4.2 Social Risk -- 4.3 Political Risk -- 4.4 The SAP Framework -- 5 Conclusions -- References -- Part II: CSR and Sustainability -- Sustainable Logistics: A Framework for Green Logistics and City Logistics -- 1 Introduction -- 2 Impacts of Logistics on the Environment -- 2.1 Consumption of Resources -- 2.2 Environmental Friendliness Concerning Emissions -- 3 Green Logistics Framework -- 3.1 Sustainable Transportation -- 3.2 Sustainable Warehouse Management -- 3.3 Sustainable Packaging -- 4 City-Logistics -- 5 Problem Discussion and Possible Research Directions -- 5.1 Solving the Trade-offs Between Logistical Functions and Integrating the Social Perspective -- 5.2 Examining the Underlying Issues. 5.3 Developing an Approach for Implementation and Measurement -- References -- Sustainable Assortment Policy: Possibilities of Differentiation and Profiling for the Food Sector -- 1 Introduction -- 2 The Development of Sustainable Products -- 2.1 Omnipresence of the Subject -- 2.2 Low Willingness to Pay -- 2.3 Significance of Supply Chain -- 2.4 Regionality as the ``New Sustainability´´ -- 2.5 Increasing Stakeholder Demands -- 3 Impact on the Assortment Policy -- 4 Conclusion -- References -- The Importance of Gold in the Financial Report -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Result Analysis -- 5 Conclusion -- References -- Part III: CSR and Management -- Sustainable Hospitality Management: Challenges and Opportunities for Small Island Destinations-Lessons from the British Virgin... -- 1 Introduction -- 2 Methodology -- 3 Results -- 3.1 Sustainable Destination Management for Small Islands -- 3.2 Sustainable Hospitality Management for Small Island Destinations -- 3.3 Energy Management -- 3.4 Water Management -- 3.5 Waste Management -- 3.6 Wildlife Conservation Management -- 3.7 Food and Beverage -- 4 Concluding Remarks -- 5 Limitations -- Appendix -- List of Personal Communications (Location British Virgin Islands) -- References -- Accounting for Sustainability: The Case Study of Petrobras -- 1 Introduction -- 2 Theory -- 2.1 IFRS and Quality of Accounting Information -- 2.2 Adoption of IFRS Effects in Brazil -- 2.3 Quality of Accounting Information After the Adoption of IFRS -- 3 Method -- 4 Data Analysis -- 4.1 History -- 5 Discussion -- 6 Conclusion -- References -- Mineral Supply Chain Transparency: Soft and Hard Laws on Supply Chains Due Diligence and the Rise of Public-Private Partnershi... -- 1 Introduction: The International Debate on Human Rights and Business and Mandatory and Voluntary Legal Instruments on Due Dil... 2 Oscillating Between Mandatory and Voluntary Legal Frameworks on Mineral Supply Chain Due Diligence -- 3 Mineral Supply Chains Due Diligence and the Rise of Public Private Partnerships for Legal Advancement of Human Rights -- 4 Conclusions -- References -- CSR, Innovation and Human Resource Management: The Renaissance of Olivetti´s Humanistic Management in Loccioni Group, Italy -- 1 Introduction -- 2 The Ethical Anchoring of a Good and Virtuous Leader -- 3 The Moral-Based Leadership and Management -- 4 The Loccioni Group -- 4.1 Methodology -- 4.2 Company Profile -- 4.3 The Strength of Loccioni Group´s Values -- 4.4 The Renewed ``Olivettiano´´ Humanistic Management in the Loccioni Group -- 4.5 Loccioni Group: A `Firm´ Based on People -- 5 Discussion and Conclusion -- References -- Part IV: CSR and Asia -- Does Foreign Ownership Enhance the Corporate Social Performance of Japanese Firms? -- 1 Introduction -- 2 Background and Hypotheses -- 2.1 Stock Ownership Structure and Corporate Social Performance -- 2.2 Stock Ownership Structure in Japan -- 2.3 Hypotheses Development -- 3 Data and Sample -- 3.1 Construction of CSP Indices -- 3.2 Categorization of Ownership and Control Variables -- 3.3 Sample Selection and Preliminary Analyses -- 4 Regression Analyses -- 4.1 Relationship Between Stock Ownership and CSP -- 4.2 Enhancement of Corporate Social Performance by Foreign Investors -- 5 Conclusions -- Appendix. Adopted questions from CSR survey of Toyo Keizai CSR database -- References -- Impacting Factors of Triple Performance of Farmer´s Professional Cooperatives in China: A Case Study of Jiangsu Province -- 1 Introduction -- 2 Theoretical Background and Research Model -- 2.1 The Influence of External Environment on Governance Structure and Cooperative Performance. 2.2 The Influence of Internal Environment on Governance Structure and Cooperative Performance -- 2.3 The Influence of Governance Structure on Cooperative Performance -- 2.4 The Influence of Production Operations to Cooperative Performance -- 3 Measurement -- 3.1 Sample Selection and Data Collection -- 3.2 Methods -- 4 Data Analysis and Results -- 4.1 Reliability and Validity Analysis -- 4.2 Correlation Analysis -- 4.3 Structural Equation Modelling Analysis -- 5 Conclusions and Implications -- References -- Integrative Model in Mitigating the Impact of International Labor Migration on Family Left Behind: Case Study in Indramayu Dis... -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 3.1 The Characteristics of Migrants Worker -- 3.2 The Impact of International Labour Migration on the Family -- 3.3 The Impact on the Children -- 3.4 The Use of Remittances -- 4 Integrated Model for Strategic Solution to the Family of International Migrant Workers: Response to the Challenging of the I... -- 4.1 Characteristics of Model -- 4.2 The Strategy of Model Development -- 5 Policy Recommendation -- References -- CSR in the Context of Transition Economy: An Evaluation of Enterprises CSR Practices in China -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 4 Research Findings -- 4.1 CSR Practices in Large Chinese Enterprises -- 4.2 CSR Practices Presented by Ownership Structure -- 4.2.1 Motivational Principle of CSR -- 4.2.2 Managerial Process of CSR -- 4.2.3 Stakeholder Issues -- 5 Discussion and Conclusion -- References -- Women Symbolism in Marketing: Are the Human Rights Legit? -- 1 Introduction -- 2 Cases Studied -- 3 How These Ads Encroach upon the Fundamental Human Rights -- 4 Proposed Solution -- References -- Index. EBL201902 Information Transfer and Management SzGeCERN EBL Capitalism-Social aspects EBL Industries-Social aspects BOOK Schmidpeter, René Capaldi, Nicholas Zu, Liangrong https://cds.cern.ch/auth.py?r=EBLIB_P_5117947 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2663474 BOOK MIGRATED 2663471 SzGeCERN 20210421203048.0 9783319699882 electronic version electronic version 9783319699882 print version 9783319699899 electronic version electronic version oai:cds.cern.ch:2663471 cerncds:BOOK EBL 5117929 eng Q342HD30.23HB144QA26 519.3 23 Berger-Vachon, Christian Complex systems dedicated to professor Jaime Gil Aluja Cham Springer 2017 549 p ebook Studies in systems, decision and control 125 Intro -- Preface -- Contents -- Basic Issues in Economic, Organization and Management Systems -- 1 Does Policy Consistency Affect Economic Growth? -- Abstract -- 1 Income Inequality Across the Globe -- 2 Time Inconsistency of Optimal Policy -- 3 Benefits of a Commitment Mechanism -- 4 Rebuild Credibility? -- 5 But the Mere Consistency of Policy Is Not Sufficient -- 6 Some Comments on Recent Events -- 7 The Road Forward -- References -- 2 Perception and Reality of the Spanish Economy -- Abstract -- 1 Executive Summary -- 2 Global Economy Context -- 3 Relevant Aspects of the Spanish Economy -- 3.1 Evolution of GDP -- 3.2 Public Deficit -- 3.3 Public Debt -- 3.4 Labour Market -- 4 Key Aspects of the Spanish Economy -- 4.1 External Sector -- 4.2 Foreign Direct Investment (FDI) -- 4.3 Tourism -- 4.4 Training -- 4.5 Infrastructures -- 4.6 Company Size -- 4.7 Digitalisation -- 5 Conclusions -- Bibliography -- 3 The Virtual Company as a Value Generator in the New Economy -- Abstract -- 1 The Triangle Generator: Intellectual Capital, Information, Technology -- 2 The Absence of Dimensionality of the Virtual Company -- 3 Communications of the Virtual Company as Socio-economic Relation and Object of Commerce -- References -- 4 The Origin of the Legitimacy of Organizations and Their Determining Factors -- Abstract -- 1 Introduction -- 2 Theoretical Framework -- 2.1 Legitimacy and Its Types -- 2.2 The Legitimacy Assessment Process -- 2.3 Variables Which Have an Influence on the Legitimacy Assessment -- 3 Methodology -- 3.1 Sample and Data Collection -- 3.2 Measurements and Variables -- 4 Results -- 5 Discussion, Limitations and Future Lines of Research -- 5.1 Scientific Implications -- 5.2 Limitations and Future Research Projects -- 5.3 Managerial Implications -- References. 5 A Model for the Management in Organizations Based on People and Knowledge: Aspects to Be Considered in Its Design -- Abstract -- 1 Introduction -- 2 People, Intangibles, Knowledge and Innovation: A Literature Review -- 2.1 Intangible Resources, Intellectual Capital, Knowledge and Innovation -- 2.2 Models for the Measurement of Intellectual Capital Applicable to Knowledge Management -- 2.3 Indicators for the Measurement of Intellectual Capital -- 3 Some Relevant Cases -- 3.1 Arteche Group -- 3.2 Irizar Group -- 3.3 Repsol -- 3.4 Bankinter -- 3.5 Xerox -- 3.6 Volvo IT -- 4 Conclusions -- References -- Decision Making and Systems Modeling -- 6 Six Experimental Activities to Introduce the Theory of Fuzzy Sets -- Abstract -- 1 Introduction -- 2 Classic Set Theory -- 3 Foundations of Fuzzy Set Theory -- 4 Six Experimental Activities to Show Fuzzy Set Theory -- 4.1 First Activity. The Dollhouse Game -- 4.2 Second Activity. The Transport Game -- 4.3 Third Activity. The Ordering Game -- 4.4 Fourth Activity. The Spoon and Fork Classification Game -- 4.5 Fifth Activity. Now You See It, Now You Don't Game -- 4.6 Sixth Activity. The Creating Continuity Game -- 5 Conclusions -- References -- 7 Fuzzy Decision Making System for Model-Oriented Academia/Industry Cooperation: University Preferences -- Abstract -- 1 Introduction -- 2 Related Works and Problem Statement -- 3 Analysis of Existing Methods and Approaches for Choosing the Model of Cooperation Between the University and the IT-Company -- 4 The Structure of Fuzzy DSS for Choosing the Expedient UIC Model for University Department -- 5 Conclusions -- References -- 8 Towards the Convergence in Fuzzy Cognitive Maps Based Decision-Making Models -- Abstract -- 1 Introduction -- 2 Fuzzy Cognitive Maps -- 3 Related Work on FCM Convergence -- 4 Converge of Decisions in FCM-Based Systems. 5 The Proposed Learning Algorithm -- 6 Numerical Simulations -- 7 Conclusions -- Eliciting Fuzzy Preferences Towards Health States with Discrete Choice Experiments -- 1 Introduction -- 2 Health Related Quality of Life and Standard Techniques of Preference Elicitation -- 3 The Model -- 4 Estimation and Results -- 4.1 Dataset -- 4.2 Estimation Process -- 4.3 Results -- 5 Discussion -- 6 Conclusion -- References -- The Soft Consensus Model in the Multidistance Framework -- 1 Introduction -- 2 The Soft Consensus Model -- 3 The Multidistance Framework -- 4 The Soft Dissensus Measure in the Multidistance Framework -- 5 Conclusions -- References -- Fuzzy Multi-criteria Decision Making Methods Applied to Usability Software Assessment: An Annotated Bibliography -- 1 Introduction -- 2 Bibliography Search and Repository Details -- 3 Annotated Bibliography -- 4 Summary and Conclusion -- References -- 12 Production Systems Optimization Using Hierarchical Planning -- Abstract -- 1 Introduction -- 2 Problem Statement -- 3 Mathematical Model -- 4 Solution Algorithm -- 5 Study Case -- 6 Results -- 7 Conclusions -- References -- 13 Mathematical Model and Parametrical Identification of Ecopyrogenesis Plant Based on Soft Computing Techniques -- Abstract -- 1 Introduction -- 2 Functional Structure of the EPG Plant as a Complex Multi-coordinate Control Object -- 3 Mathematical Model of the EPG Plant's Reactor with Fuzzy Parametrical Identification as a Temperature Control Object -- 3.1 Structure of the Reactor's Mathematical Model with Fuzzy Parametrical Identification -- 3.2 Synthesis Procedure of the Mamdani Type Identification System of the Reactor's Mathematical Model -- 3.3 Comparative Analysis and Adequacy Evaluation of the Reactor's Mathematical Models Based on Heat Exchange Equations and Fuzzy Parametrical Identification. 4 Neuro-Fuzzy Mathematical Model of the EPG Plant's MCS -- 4.1 Structure of the MCS Neuro-Fuzzy Mathematical Model -- 4.2 Synthesis Procedure of the ANFISTC -- 4.3 Comparative Analysis and Adequacy Evaluation of the MCS Mathematical Models Based on ANFISTC with Input Variables Linguistic Terms Membership Functions of Different Types -- 5 Mathematical Model of the EPG Plant's Reactor as a Load Level Control Object -- 5.1 Structure of the Mathematical Model of Reactor as a Load Level Control Object -- 5.2 Synthesis Procedure of the Mamdani Type FSCSL -- 6 Mathematical Model of the EPG Plant as a Multi-coordinate Control Object -- 7 Conclusions -- References -- Intelligent Data Analysis and Processing -- Fuzzy Data Processing Beyond Min t-Norm -- 1 Need for Fuzzy Data Processing -- 2 Possibility of Linearization -- 3 Efficient Fuzzy Data Processing for the min t-Norm: Reminder -- 4 Efficient Fuzzy Data Processing Beyond min t-Norm: The Main Result of This Paper -- 5 Resulting Linear Time Algorithm for Fuzzy Data Processing Beyond min t-Norm -- 6 Conclusions -- References -- Detecting Changes in Time Sequences with the Competitive Detector -- 1 Introduction -- 2 Method -- 2.1 General Concept -- 2.2 Extensions and Changes -- 3 Real-Life Examples -- 4 Discussion -- 5 Summary and Prospects -- References -- 16 Deep Learning Architecture for High-Level Feature Generation Using Stacked Auto Encoder for Business Intelligence -- Abstract -- 1 Introduction -- 2 Literature Survey -- 3 Stacked Auto-Encoder (SAE) -- 3.1 Auto-Encoder (AE) -- 3.2 Training Deep Neural Network with Stacked Auto-Encoders -- 3.3 The Output Layer -- 4 Proposed Methodology -- 4.1 Cross Validation Partition (CV) -- 4.2 Feature Selection -- 4.3 Normalization -- 4.4 Training of Deep Neural Network -- 4.5 Classification -- 5 Results and Discussions -- 6 Conclusion -- References. 17 Comparison of Type-2 Fuzzy Integration for Optimized Modular Neural Networks Applied to Human Recognition -- Abstract -- 1 Introduction -- 2 Basic Concepts -- 2.1 Modular Neural Networks -- 2.2 Fuzzy Logic -- 2.3 Granular Computing -- 2.4 Firefly Algorithm -- 2.5 Grey Wolf Optimizer -- 3 Proposed Method -- 3.1 Databases -- 3.1.1 Face Database -- 3.1.2 Iris Databases -- 3.1.3 Ear Database -- 3.1.4 Voice Database -- 4 Experimental Results -- 4.1 Firefly Algorithm -- 4.1.1 Using up to 80% of Data -- 4.1.2 Using up to 50% of Data -- 4.2 Grey Wolf Optimizer -- 4.2.1 Using up to 80% of Data -- 4.2.2 Using up to 50% of Data -- 4.3 Fuzzy Integration -- 5 Conclusions -- References -- Sustainability -- Fuzzy Measure of National Sustainable Development Aggregate Index -- 1 Introduction -- 2 Economic Sustainability Index -- 2.1 Fuzzy Entropy Composite Index of Diversification Level of Economy -- 2.2 Fuzzy Approach to Measuring Financial Stability -- 3 Social Sustainability Index -- 3.1 Fuzzy Model Estimation of Social Quality -- 3.2 Fuzzy Model Estimation of Quality of National Human Capital -- 4 Environmental Sustainability Index -- 4.1 Fuzzy Ecological Quality Index -- 4.2 Model of Green Economy -- 5 Fuzzy Assessment of Aggregate Index National Sustainable Development -- 6 Estimation Degree of Influence of Factors to Indicators of Socioeconomic System -- 7 Conclusion -- References -- 19 A Dynamic Game for a Sustainable Supply Chain Management -- Abstract -- 1 Introduction -- 2 Problem Description and Assumptions -- 2.1 The General Formulation -- 2.2 Notations and Definitions -- 2.3 Assumptions -- 3 Objective Function and Constraints -- 3.1 Mathematical Model: Level One -- 3.2 Mathematical Model: Level Two -- 3.3 Augmented Discrete Hamiltonian Matrix -- 3.4 Resolution -- 4 Numerical Example -- 5 Conclusion -- Acknowledgements -- References. 20 Pichat's Algorithm for the Sustainable Regional Analysis Management: Case Study of Mexico. EBL201902 Mathematical Physics and Mathematics SzGeCERN EBL Computational intelligence BOOK Gil Lafuente, Anna María Kacprzyk, Janusz Kondratenko, Yuriy Merigó, José M Morabito, Carlo Francesco https://cds.cern.ch/auth.py?r=EBLIB_P_5117929 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2663471 BOOK MIGRATED 2663438 SzGeCERN 20210421203053.0 9781119434252 9781119434276 oai:cds.cern.ch:2663438 cerncds:BOOK SAFARI 9781119434252 eng HD66.B467 2018 658.456 Bens, Ingrid Facilitating with ease! core skills for facilitators, team leaders and members, managers, consultants and trainers 4th ed. Newark, NJ John Wiley & Sons 2017 315 p ebook Facilitating With Ease! -- Contents -- Introduction -- Chapter One: Understanding Facilitation -- What Is Facilitation? -- What Does a Facilitator Do? -- What Do Facilitators Believe? -- What Are Typical Facilitator Assignments? -- Differentiating Between Process and Content -- Facilitation Tools -- Core Practices Overview -- What Does Neutral Mean? -- 1st Strategy-Ask Questions -- 2nd Strategy-Offer Suggestions -- 3rd Strategy-Take Off the Facilitator's Hat -- Learn to Say "Okay" -- When to Say "We" -- How Assertive Can a Facilitator Be? -- The Language of Facilitation -- Conversation Structures -- Non-Decision-Making Conversations -- Decision-Making Conversations -- Starting a Facilitation -- Start-Sequence Variations -- Start-Sequence Examples -- During a Facilitation -- Process-Checking Structure -- Ending a Facilitation -- Ending a Non-Decision-Making Session -- Ending a Decision-Making Session -- Effective Note Taking -- The Rules of Wording -- Managing the Flip Chart -- Best and Worst Facilitator Practices -- Facilitator Behaviors and Strategies -- Facilitation Cue Card -- Practice Feedback Sheets -- Core Practices Observation Sheet -- Process Flow Observation Sheet -- Facilitation Skill Levels -- Facilitation Skills Self-Assessment -- Chapter Two: Effective Questioning -- The Principles of Effective Questioning -- Question Types -- Questioning Formats -- The Importance of Follow-On Questions -- Asking Sensitive Questions -- The Question Bank -- Chapter Three: Facilitation Stages -- 1. Assessment and Design -- 2. Feedback and Refinement -- 3. Final Preparation -- Establishing Behavioral Norms -- Negotiating Personal Power -- Final Preparations -- 4. Starting a Facilitation -- 5. During a Facilitation -- 6. Ending a Facilitation -- 7. Following Up on a Facilitation -- Seeking Feedback on Your Facilitation -- Chapter Four: Who Can Facilitate. When to Use an Internal Facilitator -- When to Use an External Facilitator -- When Leaders Facilitate -- Facilitation Strategies for Leaders -- Empowerment Chart* -- Best and Worst Facilitation Practices for Leaders -- Facilitation As a Leadership Style -- Additional Role Challenges -- The Difficult Client -- Facilitating Senior Managers -- Facilitating Colleagues -- Facilitating Tiny Groups -- Chapter Five: Knowing Your Participants -- Conducting an Assessment -- Assessment Questions -- Group Assessment Survey -- Comparing Groups to Teams -- What Is a Group? -- How Is a Team Different? -- Group/Team Comparison Chart -- Do All Groups Need to Become Teams? -- Getting a Group to Act Like a Team -- Understanding Team Stages -- Forming-The Honeymoon Stage -- Facilitating the Formation of a Team -- Creating Team Norms -- Storming-The Potential Death of the Team -- Beware of the Iceberg! -- Reacting to Storming -- Signs of Storming -- Facilitating a Team in Storming -- When a Team Storms -- The Facilitator's Role in Storming -- Norming-The Turning Point -- Performing-The Ultimate Team Growth Stage -- Facilitating a Performing Team -- Adjourning-The Final Stage -- Facilitating Team Adjournment -- Facilitation Strategies Chart -- Team Effectiveness Survey -- Chapter Six: Creating Participation -- Creating the Conditions for Full Participation -- Removing the Blocks to Participation -- Break the Ice -- Clarify Your Role -- Clarify the Topic -- Create Buy-In -- Identify Organizational Support -- Manage the Participation of Leaders -- Help Participants Prepare -- Create Targeted Norms -- Make Eye Contact -- Use Humor -- Set Up the Room to Encourage Participation -- High-Participation Techniques -- Discussion Partners -- Tossed Salad -- Issues and Answers -- Talk Circuit -- Pass the Envelope -- Group Participation Survey. Encouraging Effective Meeting Behaviors -- Group Behaviors Handout -- Observing Group Behaviors in Action -- Peer Review Instructions -- Peer Review Worksheet -- Chapter Seven: Effective Decision Making -- Know the Four Types of Conversations -- The Four Levels of Empowerment -- Clarifying the Four Empowerment Levels -- Adjusting Empowerment Levels -- Encouraging Groups to Accept Greater Empowerment -- Shifting Decision-Making Paradigms -- The Decision-Making Options -- Consensus Building -- Multi-Voting -- Compromise -- Majority Voting -- One Person Decides -- Decision Options Chart -- The Divergence/Convergence Model -- The Importance of Building Consensus -- Hallmarks of the Consensus Process -- Overcoming Blocks to Consensus -- Things to Watch for in Decision Making -- Effective Decision-Making Behaviors -- Symptoms, Causes, and Cures of Poor Decisions -- Decision Effectiveness Survey -- Chapter Eight: Facilitating Conflict -- Comparing Arguments and Debates -- Steps in Managing Conflict -- Step 1: Venting Emotions -- Step 2: Resolving Issues -- The Five Conflict Options: Pros and Cons -- The Five Options in Action -- Conflict Management Norms -- Giving and Receiving Feedback -- General Principles of Good Feedback -- Feedback Formats -- The Eight-Step Feedback Process -- The Language of Feedback -- Tips for Receiving Feedback -- Making Interventions -- Deciding Whether or Not to Intervene -- Wording an Intervention -- Telling Versus Asking -- Wording for Specific Situations -- Norm-Based Interventions -- Body Language Interventions -- Making Interventions in Private -- Using Silence -- Dealing with Resistance -- Resistance Scenario 1 -- Resistance Scenario 2 -- Resistance Scenario 3 -- The Right Approach -- Why This Approach Works -- Common Conflict Dilemmas -- The Facilitative Conflict Management Process -- Interpersonal Conflict Worksheet. Group Conflict Checklist -- Conflict Observation Sheet -- Conflict Effectiveness Survey -- Chapter Nine: Meeting Management -- Meetings That Work -- Our Meetings Are Terrible! -- The Fundamentals of Meeting Management -- 1. Create and Use a Detailed Agenda -- 2. Develop Step-by-Step Process Note -- Sample Agenda with Process Notes -- 3. Clarify Roles and Responsibilities -- Balancing the Roles of Chairperson and Facilitator -- 4. Set Clear Meeting Norms -- 5. Manage Participation -- 6. Make Periodic Process Checks -- Sample Process Check Survey -- 7. Determine Next Steps -- 8. Evaluate the Meeting -- Sample Exit Survey -- Meeting Effectiveness Survey -- Facilitating Virtual Meetings -- Before the Meeting -- At the Start of the Virtual Meeting -- During the Virtual Meeting -- At the End of the Virtual Meeting -- Chapter Ten: Process Tools for Facilitators -- Visioning -- How to Do Visioning -- Sequential Questioning -- How to Do Sequential Questioning -- A Sample of Sequential Questions -- S.W.O.T. -- How to Do a S.W.O.T. Analysis -- A Sample S.W.O.T. Analysis -- S.O.A.R. -- How to Do a S.O.A.R. -- A S.O.A.R. Sample -- Facilitative Listening -- How to Do Facilitative Listening -- Appreciative Review -- How to Use Appreciative Review -- Brainstorming -- How to Do Brainstorming -- Written Brainstorming -- How to Do Written Brainstorming -- Affinity Diagrams -- How to Use Affinity Diagrams -- Gap Analysis -- How to Do Gap Analysis -- Needs and Offers Dialogue -- How to Do Needs and Offers Dialogue -- Force-Field Analysis -- How to Do Force-Field Analysis -- Variations of Force-Field Analysis -- Root-Cause Analysis -- How to Do Root-Cause Analysis -- The Five Whys -- How to Do the Five Whys -- A Five Whys Example -- Gallery Walk -- How to Do a Gallery Walk -- Gallery Walk Variations and Applications -- Multi-Voting -- How to Do Multi-Voting. Weighted Multi-Voting -- Decision Grids -- How to Use Decision Grids -- Exit Surveys -- How to Use Exit Surveys -- Survey Feedback -- How to Do Survey Feedback -- Systematic Problem Solving -- How to Do Systematic Problem Solving -- Systematic Problem Solving Worksheet 1 -- Systematic Problem Solving Worksheet 2 -- Systematic Problem Solving Worksheet 3 -- Systematic Problem Solving Worksheet 4 -- Systematic Problem Solving Worksheet 5 -- Systematic Problem Solving Worksheet 6 -- Systematic Problem Solving Worksheet 7 -- Systematic Problem Solving Worksheet 8 -- Troubleshooting -- How to Do Troubleshooting -- Troubleshooting Worksheet -- Chapter Eleven: Structured Conversations -- Structured Conversation 1-Discovery -- Structured Conversation 2-Environmental Scanning -- Structured Conversation 3-Team Launch -- Structured Conversation 4-Vision and Mission -- Structured Conversation 5-Work Planning, Roles, and Responsibilities -- Structured Conversation 6-Risk Assessment -- Structured Conversation 7-Stakeholder Analysis -- Structured Conversation 8-Communication Planning -- Structured Conversation 9-Status Update Meeting -- Structured Conversation 10-Creative Thinking -- Structured Conversation 11-Midpoint Check -- Structured Conversation 12-Systematic Problem Solving -- Structured Conversation 13-Constructive Controversy -- Structured Conversation 14-Survey Feedback -- Structured Conversation 15-Interpersonal Issue Resolution -- Structured Conversation 16-Overcoming Resistance -- Structured Conversation 17-Project Retrospective -- Structured Conversation 18-Project Adjournment -- About the Author -- Acknowledgments -- Facilitation Certification -- Bibliography -- End User License Agreement. SAF202009 EBLlink deleted Information Transfer and Management SzGeCERN BOOK https://learning.oreilly.com/library/view/-/9781119434252/?ar ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2663438 BOOK MIGRATED 2663422 SzGeCERN 20210421203055.0 9783319647395 electronic version electronic version 9783319647395 print version 9783319647401 electronic version electronic version oai:cds.cern.ch:2663422 cerncds:BOOK EBL 5100551 eng HM1001-1281BF201LB28 658.40920000000006 Clark, Matthew G Leader development deconstructed Cham Springer 2017 340 p ebook Annals of theoretical psychology 15 Intro -- Preface -- Contents -- About the Editors -- About the Contributors -- Chapter 1: Deconstructing Leader Development: An Introduction -- 1.1 Leader Versus Leadership -- 1.2 The Challenge of "Development" -- 1.3 Current Theories of Leader Development -- 1.4 Volume Organization Through the Historical Roots of Leader Development -- References -- Part I: The Individual, Personality, and Cognition Involved in Leader Development -- Chapter 2: Developing "Allostatic Leaders": A Psychobiosocial Perspective -- 2.1 Introduction -- 2.2 Field Theory Relevant to Leaders -- 2.2.1 Section Summary -- 2.3 The Stress Literature Relevant to Leaders -- 2.3.1 Adaptive and Non-adaptive Responses -- 2.3.2 Adaptation -- 2.3.3 Homeostasis and the Fight or Flight Stress Response -- 2.3.3.1 Breakdown of Adaptation -- 2.3.3.2 Biological Stress Response -- 2.3.3.3 Psychological Stress Response -- 2.3.3.4 Appraisal -- 2.3.3.5 Individual Differences -- 2.3.3.6 Allostasis -- 2.3.4 Section Summary -- 2.4 Allostatic Leader -- 2.4.1 Section Summary -- 2.5 Developing Allostatic Leaders -- 2.5.1 The FourCe-PITO Conceptual Framework for Leader and Leadership Education and Development -- 2.5.2 Emotional Intelligence (EI or EQ) and Social Intelligence -- 2.5.3 Stress Management and Coping Techniques to Minimize Burnout -- 2.5.4 Developing the Dominant Response -- 2.6 Conclusion -- References -- Chapter 3: General Mental Ability (g) and Leader Development -- 3.1 Definitions of Intelligence -- 3.2 Measurement of Intelligence -- 3.3 Theories of Intelligence -- 3.4 g and Life Success -- 3.5 g and Leadership -- 3.6 g and Development -- 3.7 g and Leader Development -- 3.8 Correlates of g and Leadership -- 3.9 Conclusions and Future Research -- References -- Chapter 4: Dark Leadership: The Role of Leaders' Dark Triad Personality Traits -- 4.1 The Dark Triad of Personality. 4.1.1 The Dark Triad -- 4.1.2 Is There a Common Dark Core? -- 4.2 Origins of the Dark Triad -- 4.2.1 Evolutionary Theory -- 4.2.2 Psychogenic Motives and Values -- 4.3 The Dark Triad at Work -- 4.4 Dark Leadership -- 4.4.1 Narcissistic Leadership -- 4.4.2 Machiavellian Leadership -- 4.4.3 Psychopathic Leadership -- 4.5 Dark Leader Traits and Leader Development -- 4.6 Conclusions and Future Research -- References -- Chapter 5: Leadership in Dialogue: How Courage Informs -- 5.1 Historical Background on Courage as a Trait -- 5.1.1 Courage as Viewed by May -- 5.2 Can Courage Be Learned? -- 5.3 Interactional Framework/Model -- 5.4 Courage and HCBT as Dialogue in Leadership -- 5.4.1 Leadership as Dialogue in the Setting of Courage -- 5.4.2 Courage in Dialogue with Leadership -- 5.5 Conclusion -- References -- Chapter 6: Leader Developmental Readiness: Deconstructed and Reconstructed -- 6.1 Situating Leader Developmental Readiness -- 6.2 Deconstructing Leader Developmental Readiness -- 6.2.1 Ability to Develop as a Leader -- 6.2.2 Motivation to Develop as a Leader -- 6.3 Support for Leader Development -- 6.4 Reconstructing Leader Developmental Readiness -- 6.4.1 Ability to Develop and Motivation to Develop -- 6.4.2 Ability to Develop andSupport for Development -- 6.4.3 Motivation to Develop and Support for Development -- 6.4.4 Ability to Develop, Motivation to Develop, and Support for Development -- 6.5 Conclusion -- References -- Part II: Considering Behavior in Leader Development -- Chapter 7: Followership Development: A Behavioral Approach -- 7.1 Defining Followership -- 7.1.1 Passive and Deferent Followership -- 7.1.2 Active and Engaged Followership -- 7.2 Why Should We Develop Followership? -- 7.2.1 Developing Followership Among Followers -- 7.2.2 Developing Followership Among Leaders -- 7.3 How Do We Develop Followership?. 7.3.1 Socialization Phase: Focus on Meaning -- 7.3.2 Education Phase: Focus on Models -- 7.3.2.1 Followership Role Orientation -- 7.3.2.2 Followership Behavioral Styles -- 7.3.3 Building Followership Competencies: Focus on Behavior in Context -- 7.3.3.1 Independence -- 7.3.3.2 Critical Thinking and Action -- 7.3.3.3 Taking Initiative -- 7.3.3.4 Taking Ownership -- 7.3.3.5 Mission Conscious -- 7.3.3.6 Cooperation/Collaboration -- 7.4 Conclusion -- References -- Chapter 8: Conflict Management in Leader Development: The Roles of Control, Trust, and Fairness -- 8.1 Theory -- 8.1.1 Organizational Controls -- 8.1.2 Legitimacy and Authority -- 8.1.3 Trust-Building Activities -- 8.1.4 Fairness-Promotion Activities -- 8.2 Addressing Multiple Concerns with Multiple Responses -- 8.3 Different Conflicts, Different Activities -- 8.4 Propositions -- 8.4.1 Addressing Goal Conflicts -- 8.4.2 Addressing Task Conflicts -- 8.4.3 Addressing Personal Conflicts -- 8.5 Discussion -- 8.5.1 Enacting These Perspectives Through Leader Development Initiatives -- 8.5.2 Adopting an Integrative View of Conflict -- 8.5.3 Embracing One's Dependence and Relative Power -- 8.5.4 Understanding the Limits of Organizational Controls -- 8.5.5 Control, Trust, and Fairness -- References -- Chapter 9: Operationalizing Creativity: Developing Ethical Leaders Who Thrive in Complex Environments -- 9.1 Virtue as Skill: Thinking Differently About Developing Ethical Leaders -- 9.2 Creativity as Skill: A Key to the Development of Practical Wisdom -- 9.3 The Importance of Aspiration and Intrinsic Motivation for Both Virtue and Creativity -- 9.4 Challenges to Virtue and Creativity -- 9.5 Developing Creative and Ethical Leaders -- 9.6 Conclusion -- References -- Chapter 10: Developing a Logic-of-Inquiry-for-Action Through a Developmental Framework for Making Epistemic Cognition Visible. 10.1 Background to the Current State of Affairs -- 10.1.1 A Brief Review of Literature -- 10.1.1.1 Perspectives on Leadership -- 10.1.1.2 Process as Content: Epistemic Cognition -- 10.1.2 The West Point Context -- 10.1.3 (Re)Formulating "The Framework" in the Current Context -- 10.2 Overarching Conceptual Perspectives -- 10.2.1 Social Constructionism -- 10.2.2 An Ethnographic Perspective -- 10.3 Conceptual Foundations of the Framework That Inform How to Look at Individual-Collective Activity -- 10.3.1 Background -- 10.3.2 Differentiating "Knowing That" and "Knowing How" -- 10.3.3 Defining Culture as a Conceptual System -- 10.3.4 Stepping Back from Ethnocentrism -- 10.3.5 Learning Cannot Be Observed in the Moment But Is a Phenomenon Over Time -- 10.3.6 Layers of Work Are Necessary to Understand the Phenomenon -- 10.3.7 The Iterative, Recursive, and Abductive (Nonlinear) Nature of Designing and Decision-Making Processes -- 10.3.8 Need for Reflexivity for Action as a Basic Phenomenon -- 10.3.9 Interpreting Meaning by Observing Discourse-in-Action -- 10.4 An Orienting Theory Based on a Grounded Approach -- 10.5 An Illustrative Case for What Is Required for Building an Informed Base for Taking Action -- 10.5.1 Background -- 10.5.2 Preparing the Mind for Taking Reflexive Action -- 10.6 A Case of Designing a Teamwork Initiative for Opportunities for Reflexive Action -- 10.6.1 Background -- 10.6.2 The Context -- 10.6.3 Linking the Orienting Theory to a Reflexive Framework for Taking Action -- 10.6.4 A Developmental "Framework" of Generalized Interdependent Processes -- 10.6.4.1 The "Framework": The "Development" Perspective -- 10.6.4.2 The "Framework": The "Learning" Perspective -- 10.6.5 Opportunities for Developing This Framework with the Specific Environment in Mind -- 10.7 Re-constructing "Building Capacity for Leading" -- 10.8 Implications. 10.8.1 Learning to Lead -- 10.8.2 Guiding Learners for Leading -- 10.8.3 Redesigning Curricula to Create Formal Opportunities for Leading -- 10.8.4 Framing Epistemic Cognition -- 10.9 Conclusion -- References -- Part III: Social and Environmental Influences on Leader Development -- Chapter 11: The Impact of Selection and the Assessment Center Method on Leader Development -- 11.1 Introduction to Selection -- 11.2 Investment in Leader Development and Selection Provides a Clear Return -- 11.3 Assessment Center -- 11.3.1 A Bit of History -- 11.3.2 Shaping the Culture -- 11.4 The Guidelines and Their Consequences -- 11.4.1 Purpose -- 11.4.2 Systematic Analysis of Job-Relevant Behavior -- 11.4.3 Behavioral Classification -- 11.4.4 Realistic Exercises -- 11.4.5 Systematic Recording and Scoring of Behaviors as Key Element of an Assessment Center -- 11.4.6 Feedback -- 11.4.7 Evaluation -- 11.5 Conclusions -- References -- Chapter 12: Leading with Support: The Role of Social Support for Positive and Negative Events in Leader Development -- 12.1 Past Work in Leader Development: What's Important -- 12.1.1 Identity and Self-Awareness -- 12.1.2 Motivation to Develop the Self and Willingness to Change -- 12.1.3 Leader Competence and Skill Acquisition -- 12.1.4 Methods and Tools to Promote Leader Development -- 12.2 Potential Contributions of Social Support to Leader Development: The Big Picture -- 12.3 How Past Work in Social Support Can Inform and Improve Leader Development -- 12.3.1 Perceptions of Availability and Social Support Receipt -- 12.3.2 Received Support: The Importance of Responsiveness -- 12.3.3 Capitalization Support Receipt -- 12.3.4 Social Support Provision in Good Times and Bad -- 12.3.5 The Function of Support Receipt and Provision and Influences by Early Experiences -- 12.4 Special Considerations in Regard to Social Support in Leader Development. 12.4.1 Social Support in the Context of Failure. EBL201902 Information Transfer and Management SzGeCERN BOOK Gruber, Craig W https://cds.cern.ch/auth.py?r=EBLIB_P_5100551 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2663422 BOOK MIGRATED 2663418 SzGeCERN 20190321204936.0 9781351407786 electronic version 9781574442663 electronic version EBL 5092137 eng HD62.15.R677 1999 658.4013 Ross, Joel E Total quality management text, cases, and readings 3rd ed. London Routledge 1999 567 p Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- 1: Introduction to Total Quality Management -- The Concept of TQM -- Antecedents of Modem Quality Management -- The Quality Gurus -- Accelerating Use of TQM -- Quality and Business Performance -- Service Quality vs Product Quality -- The Baldrige Award -- Questions for Discussion -- Endnotes -- Example Turnaround at IBM after Baldrige Quest -- Case Lessons from the Best -- Reading From the Classroom to the Boardroom -- Reading Quality and the Required Style of Management: The Need for Change -- For Further Reading -- 2: Leadership -- Leadership System -- Attitude and Involvement of Top Management -- Communication -- Culture -- Management Systems -- Questions for Discussion -- Endnotes -- Example Trident: A Company Winner Demonstrates Leadership -- Case Moments of Truth in a Service Business -- Reading If It's Tuesday, It Must Be ISO 9000 -- Exercise Leadership at Varifilm -- For Further Reading -- 3: Information and Analysis -- Organizational Implications -- Strategic Information Systems -- Shortcomings of Accounting Systems -- Organizational Linkages -- Advanced Processes/Systems -- Information and the Customer -- Systems Design -- Questions for Discussion -- Endnotes -- Example Information and Analysis at 3M -- Case Information Systems at Lake City Machine Tool -- Reading What Does It All Mean? -- Exercise Information Systems and Analysis at Varifilm -- For Further Reading -- 4: Strategic Planning -- Strategy and the Strategic Planning Process -- Strategic Quality Management -- Definition of Quality -- Control -- Service Quality -- Summary -- Questions for Discussion -- Endnotes -- Example Strategy Deployment at Raytheon -- Case Amex Looks Beyond Satisfaction, Sees Growth -- Reading Quality and the Role of Strategy -- Exercise Strategic Planning at Varifilm. For Further Reading -- 5: Human Resource Focus -- Involvement: A Central Idea of Human Resource Utilization -- Training and Development -- Selection -- Performance Appraisal -- Compensation Systems -- Total-Quality-Oriented Human Resource Management -- Questions for Discussion -- Endnotes -- Example Xerox Focuses on Human Resources -- Case Quality Drives Trident's Success -- Reading Plugging into the Power of Leadership Teams -- Exercise Human Resources at Varifilm -- For Further Reading -- 6: Process Management -- A Brief History of Quality Control -- Product Inspection vs. Process Control -- Moving from Inspection to Process Control -- Statistical Quality Control -- Tools for Statistical Quality Control -- Problem Analysis -- Pareto Analysis -- Control Charts -- Manufacturing to Specification vs. Manufacturing to Reduce Variations -- Process Control in Service Industries -- Process Control for Internal Services -- Quality Function Deployment -- Just-in-Time -- Just-in-Time or Just-in-Case -- The Human Side of Process Control -- Questions for Discussion -- Endnotes -- Example Process Management at MLCC -- Case Quality Function Deployment: A Case Study -- Reading Reducing Variability-Key to Continuous Quality Improvement -- Exercise Process Quality at Varifilm -- For Further Reading -- 7: Customer and Market Focus -- Process vs. Customer -- Internal Customer Conflict -- Defining Quality -- A Quality Focus -- The Driver of Customer Satisfaction -- Handling Service Complaints -- Getting Employee Input -- Measurement of Customer Satisfaction -- The Role of Marketing and Sales -- The Sales Process -- Service Quality and Customer Retention -- Customer Retention and Profitability -- Buyer-Supplier Relationships -- Questions for Discussion -- Endnotes -- Example Customer Focus at Solectron -- Case Hewlett-Packard Company. Reading Overview: Customer Satisfaction Research -- Exercise Customer Focus at Varifilm -- For Further Reading -- 8: Benchmarking -- The Evolution of Benchmarking -- The Essence of Benchmarking -- Benchmarking and the Bottom Line -- The Benefits of Benchmarking -- Types of Benchmarking -- Strategic Benchmarking -- The Benchmarking Process -- Identify the Best-in-Class -- Measure Your Own Performance -- Actions to Close the Gap -- Pitfalls of Benchmarking -- Questions for Discussion -- Endnotes -- Example Benchmarking for Continuous Improvement -- Case Can Benchmarking Give You a Competitive Edge? -- Reading Reduce Variation and Save Money -- Exercise Benchmarking at Varifilm -- For Further Reading -- 9: Organizing for Total Quality Management -- Organizing for TQM: The Systems Approach -- Organizing for Quality Implementation -- The People Dimension: Making the Transition from a Traditional to a TQM Organization -- The Practice of Management -- Roles in Organizational Transition to TQM -- Small Groups and Employee Involvement -- Teams for TQM -- Summary: Some Prerequisites for TQM Success -- Questions for Discussion -- Endnotes -- Example Organizing with Teams at Eastman Chemical Company -- Case Organizing for New Product Development -- Reading Organizing by Process -- For Further Reading -- 10: Productivity, Quality, and Reengineering -- The Leverage of Productivity and Quality -- Management Systems vs. Technology -- Productivity in the United States -- Measuring Productivity -- Basic Measures of Productivity: Ratio of Output to Input -- White-Collar Productivity -- Improving Productivity (and Quality) -- Capital Equipment vs. Management Systems -- Activity Analysis -- Reengineering -- Questions for Discussion -- Endnotes -- Example Wainwright Industries: Reengineering at a Small Company -- Case Productivity-Improvement Team Does Its Job. Reading Just Do It: An Interview with Michael Hammer -- Exercise Productivity at Varifilm -- For Further Reading -- 11: The Cost of Quality -- Cost of Quality Defined -- The Cost of Quality -- Three Views of Quality Costs -- Quality Costs -- Measuring Quality Costs -- The Use of Quality Cost Information -- Accounting Systems and Quality Management -- Activity-Based Costing -- Questions for Discussion -- Endnotes -- Example Armstrong World Industries Tracks Cost of Quality -- Case Cost-of-Quality Reporting: How We See It -- Reading Controls and Creativity in Organizations -- For Further Reading -- 12: ISO 9000 and ISO 14000: Universal Standards of Quality -- ISO Around the World -- ISO 9000 in the United States -- The ISO 9000 and ANSI/ASQC Q-90 Series Standards -- Benefits of ISO 9000 Certification -- Getting Certified: The Process -- Getting Certified: The Third-Party Audit -- Documentation -- Post-Certification -- Choosing an Accredited Registration Service -- ISO 9000 and Services -- The Cost of Certification -- ISO 9000 vs. The Baldrige Award -- Implementing the System -- The Future of ISO 9000 -- ISO 14000 Environmental Management System -- Questions for Discussion -- Endnotes -- Example Baldrige Winners Register for ISO Certification -- Case MKS Fits ISO 9000 into Existing Systems -- Reading Thinking Export? Think ISO 9000 -- For Further Reading -- 13: Theory of Constraints -- The Goal -- The Chain Analogy -- The Systems Approach vs. Conventional Management -- Physical vs. Policy Constraints -- The Theory of Constraints and the Process of Ongoing Improvement -- The Thinking Process (Logic Trees) -- Theory of Constraints Measurement System for Decision Making -- The Theory of Constraints Management System -- Questions for Discussion -- Endnotes -- Case Making Production Predictable -- Case The Theory of Constraints: Application to a Service Firm. Reading Quality and the Theory of Constraints -- 14: Varifilm Case Study -- Overview -- Category 1.0 Leadership -- Category 2.0 Information and Analysis -- Category 3.0 Strategic Quality Planning -- Category 4.0 Human Resource Development and Management -- Category 5.0 Management of Process Quality -- Category 6.0 Quality and Operational Results -- Category 7.0 Customer Focus and Satisfaction -- Appendix: Quality-Related Information on the Internet -- Index. Perry, Susan 9781574442663 print version oai:cds.cern.ch:2663418 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5092137 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 21 PUBLIC BOOK DELETED 2663394 SzGeCERN 20200503232024.0 9781351279956 electronic version electronic version 9781906093099 electronic version electronic version 9781906093099 print version oai:cds.cern.ch:2663394 cerncds:BOOK EBL 5064516 eng HD30.255.S878 2017 658.4083 Wirtenberg, Jeana The sustainable enterprise fieldbook when it all comes together Saltaire Routledge 2008 321 p Cover -- Half Title -- Dedication -- Title -- Copyright -- Contents -- Foreword -- Acknowledgments -- Part I. Understanding reality: our context for The Sustainable Enterprise Fieldbook -- Introduction and overview -- 'Business case' for a sustainable enterprise -- Purpose of The Sustainable Enterprise Fieldbook -- Missing ingredients and The Sustainable Enterprise Fieldbook -- How should a person be if he or she has values aligned with sustainability? -- Using The Sustainable Enterprise Fieldbook -- Context: acknowledging current reality, best practices, and iterative learning -- Iterative learning: action research efforts evolve our understanding -- Overview of this book -- References -- Part II. Preparing the foundation for a sustainable enterprise -- 1 Leadership for a sustainable enterprise -- Introduction -- The Leadership Diamond: zero footprint and a life-giving workplace -- Nature and domains of leadership for sustainable enterprise -- Reflections on leadership from ancient traditions and Earth wisdom -- New frameworks for leading sustainable enterprise -- Engaging the natural tendency of self-organization -- Conclusion -- References -- 2 Mental models for sustainability -- Introduction -- Six dimensions of mental models -- Cultivating mental models that support sustainability in a technically oriented organization -- Mental models in civil society -- Appreciative Inquiry case study: executive MBA candidates -- Conclusion -- References -- 3 Developing a sustainability strategy -- The nature of strategic management -- The nature of sustainability strategies -- A shifting strategic context for sustainability -- The strategic logic or business case for the sustainable enterprise -- Doing well by doing good: the sustainability advantage -- The progression toward integrated sustainability strategies. The unique and varied nature of sustainability strategies -- The process of formulating and implementing sustainability strategy -- Conclusion -- References -- Part III. Embracing and managing change sustainably -- 4 Managing the change to a sustainable enterprise -- Achieving sustainable enterprise in the 21st century -- Managing the change to sustainable enterprise -- Challenges in changing enterprise culture -- Transforming enterprise culture -- Participative change and sustainable enterprise cultures -- Iterative transformational change methodology -- Iterative guide to sustainable development workscapes -- Conclusion -- References -- 5 Employee engagement for a sustainable enterprise -- What employee engagement looks like -- Employee engagement in sustainability management -- Case studies -- A story from the DuPont Plant in Belle, West Virginia -- Energizing people to create a safer, healthier workforce at PSE&G -- Engaging employees in social consciousness at Eileen Fisher -- Environmental, health, & safety issues at Alcoa Howmet -- Employee engagement at T-Systems: sustaining the organization and beyond -- Conclusion -- References -- 6 Sustainable enterprise metrics and measurement systems -- Global sustainable development indicators overview -- Enterprise sustainability metrics and management systems overview -- Metrics applications for sustainable enterprises -- Financial performance indicators -- Measuring sustainable enterprise qualities -- Conclusion -- References -- Part IV. Connecting, integrating, and aligning toward the future -- 7 Sustainable globalization: the challenge and the opportunity -- What do we mean by 'sustainable globalization'? -- Looking through the economic and financial lens -- Looking through the technology lens -- Looking through the lens of poverty and inequity -- Looking through a limits-to-growth lens. Looking through the movement-of-talent lens -- Looking through a geopolitical lens -- Holistic integration, featuring 'Six lenses of sustainable globalization tool' -- Conclusion -- References -- 8 Transorganizational collaboration and sustainability networks -- Transorganizational collaboration and stakeholder engagement -- CORE: Core Organizational Renewal Engagement -- Case. 'Sustainable Uplands': learning to manage future change -- Putting networks to work: architecting participation -- Tool. Personal network drawing exercise -- InnoCentive: sustainable enterprise through ideagoras -- Collaboration and networking technology -- Using the virtual world of Second Life to promote real-world sustainability -- Conclusion -- References -- Part V. When it all comes together -- 9 A new beginning: when it all comes together -- So how did we do? -- Common threads -- The Sustainability Pyramid -- References -- Coda. An invitation to participate with us in the Living Fieldbook at www.TheSustainableEnterpriseFieldbook.net -- Glossary of terms -- About the contributors -- Index. Russell, William Lipsky, David https://cds.cern.ch/auth.py?r=EBLIB_P_5064516 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 21 PUBLIC BOOK DELETED 2663058 SzGeCERN 20190517215849.0 9781119390480 electronic version 9781119390466 electronic version EBL 5056876 eng HD66.S745 2018 658.40219999999999 Steinhorst, Curt Your people aren't working new rules for concerned leaders of the constantly connected workplace Newark, NJ John Wiley & Sons 2017 259 p Cover -- Title Page -- Copyright -- Contents -- Foreword -- Prologue: You Don't Have Jack -- Section One: Nobody's Working -- Chapter 1: The Curse of the Overwhelmed -- Hey, I'm Doing My Job -- Chapter 2: It's Not Their Fault -- More Valuable Than Cash -- Chapter 3: Tools of Our Tools -- Technology Is Not the Problem -- Millennials Are Not the Problem -- Poor Productivity Is Not the Problem -- The Problem Is Much Deeper-and Much More Costly -- The Problem -- Are You Part of the Solution? -- Now That I Have Your Attention. . . -- Section Two: Finding Focus -- Chapter 4: The Science of Attention -- Our Two Systems of Attention -- Broken Models -- The Magical Mysteries of Multitasking -- Full Focus, Medium Focus, Light Focus -- Chapter 5: Focus-Wise in the Age of Distraction -- The Raft -- The Sailboat -- Drop That Marshmallow -- Allocating the Right Focus at the Right Time -- Choices and Consequences -- Chapter 6: The Four Elements of Focus -- Energy -- Environment -- Emotion -- Experience -- Now That I Have Your Attention. . . -- Section Three: Focus-Wise Space -- Chapter 7: In Praise of Walls -- Environmental Protection -- Mental Space -- Chapter 8: Office Space -- Open Office -- Cubicles -- Working Remotely -- The Focus-Wise Space -- Chapter 9: The Vault -- A Gym for Your Mind -- Forming the Vault Habit -- Now That I Have Your Attention. . . -- Section Four: Focus-Wise Technology -- Chapter 10: Relationship Status: It's Complicated -- Thank God for the Gift (?!) of Modern Technology -- Technology Meets Culture -- Technology Meets Greed -- Chapter 11: Message Undeliverable -- Barriers to Access -- Limits to Excessive Switching -- Utility and Simple Design -- Chapter 12: Free at Last -- Capture and Share -- Automate, Automate, Automate -- Be Easy to Use -- Chapter 13: Best Buddy or Big Brother? -- My Buddy and Me -- Big Brother Is Watching. Finding Balance in Technology -- Now That I Have Your Attention. . . -- Section Five: Focus-Wise Communication -- Chapter 14: Can You Hear Me Now? -- Lost in the Noise -- Chapter 15: Digital Communication: E-mail, Messaging, and Everything in Between -- Connected But Disconnected -- Bring the Noise -- Improving Quality -- Reducing Quantity -- Chapter 16: Face to Face in a Facebook World -- Face Time (Not the iPhone Kind) -- Efficiency -- Emotional Connection -- Now That I Have Your Attention. . . -- Section Six: Focus-Wise Workday -- Chapter 17: The Balance Myth -- Separating Work and Life -- Not Either/Or But If/Then -- Blurred Lines -- Chapter 18: Managing the Minutiae -- Delineation -- Delegation -- Take a Minute -- Chapter 19: Can We Get an Extension? -- Cut Bad Expenses -- Spend Them Wisely -- Now That I Have Your Attention. . . -- Section Seven: Focus-Wise Leadership -- Chapter 20: The First Filter -- Applying the First Filter -- Chapter 21: Individual to Institutional -- Change as a Value -- Chapter 22: Filling the Digital Skill Gaps -- The Skills to Train -- How to Train These Skills -- Chapter 23: Competing with Zuckerberg -- Digital Disconnect -- Analog Leadership -- A Direct Link to Motivation -- Chapter 24: After All, We're Here to Work -- Your People Are Bored -- Increase Your Expectations -- Now That I have Your Attention. . . -- Chapter 25: The Focus-Wise Leader -- What Are Better Undercurrents for Power? -- How Do We Shift Undercurrents? -- About the Authors -- Acknowledgments -- Notes -- EULA. McKee, Jonathan 9781119390466 print version oai:cds.cern.ch:2663058 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5056876 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2663055 SzGeCERN 20200503232023.0 9781138228214 electronic version electronic version 9781138228214 print version 9781315393094 electronic version electronic version oai:cds.cern.ch:2663055 cerncds:BOOK EBL 5056435 eng HD53.R688 2018 658.4038 Guthrie, James The Routledge companion to intellectual capital Milton Routledge 2017 533 p Routledge companions in business, management and accounting The Routledge Companion to Intellectual Capital- Front Cover -- The Routledge Companion to Intellectual Capital -- Title Page -- Copyright Page -- Contents -- List of figures -- List of tables -- List of contributors -- Chapter 1: The past, present, and future for intellectual capital research: an overview -- Introduction -- Frontiers of research, practice, and knowledge -- Introduction to IC as per the chapters -- Conclusion -- References -- PART I: Stage 5: critical IC -- Chapter 2: The critical path of intellectual capital -- Introduction -- What is IC? -- IC and its early critical path -- The critical and performative practice turn -- Fourth stage IC research: an ecosystem approach -- Is critical IC research running out of steam? -- Fifth stage IC research: research without boundaries? -- Notes -- References -- Chapter 3: Accounting for people -- So why would we wish to account for people? -- From theory to practice -- How about we try a different approach? -- Enter human capital -- Human capital accounting -- Health and wellbeing as human capital -- The social accounting interface -- Accounting by people -- To conclude -- Further reading -- References -- PART II: Stage 4: IC ecosystems -- Chapter 4: Seven dimensions to address for intellectual capital and intangible assets navigation -- Introduction and IC quizzics -- National IC mapping -- Enterprise map -- Intangible assets modelling -- IC leadership mapping in progress -- Holistic process of reframing -- Societal renewal and innovation -- Conclusion on intellectual capital 21: the next century in IC -- Notes -- References -- Chapter 5: Understanding and exploiting intellectual capital grounding regional development: framework and metrics -- Introduction -- Knowledge and regional development: background -- Modelling IC: the Knoware Tree and the Knowledge Dashboard. Identifying indicators of knowledge-based factors at a regional level -- Final remarks -- References -- Chapter 6: Past, present, and future: intellectual capital and the New Zealand public sector -- Introduction -- The four stages of IC research -- Contextualizing New Zealand IC research -- The future direction and outlook for IC research in the New Zealand public sector -- Conclusion -- Notes -- References -- Chapter 7: Intellectual capital in the context of healthcare organizations: does it matter? -- Introduction -- The healthcare organization context -- The role of knowledge -- Why consider IC for managing healthcare organizations? -- Literature on IC in healthcare organizations -- Conclusion -- References -- Chapter 8: Rethinking models of banks and financial institutions using empirical research and ideas about intellectual capital -- Introduction -- Problems with existing bank/FI models and theoretical interpretations -- Empirical narrative: central role of knowledge-based intangibles and social context in intermediation -- Empirical narrative: change and bank/financial institution learning and knowledge creation -- Developing an 'NTFF' using IC ideas -- A new combined 'theory narrative': examples from field work -- Summary -- References -- Chapter 9: Mobilizing intellectual capital in practice: a story of an Australian financial institution -- Introduction -- Literature review -- Unintended consequences -- Research method -- The scenario -- Narratives on mobilization of IC -- Unintended consequences captured by narratives -- Conclusion -- Notes -- References -- Chapter 10: Intellectual capital management in public universities -- Introduction -- New public management and intellectual capital management at universities -- Knowledge and intellectual capital in universities. Measurement and disclosure of university knowledge by diagnostic intellectual capital -- Intellectual capital value for stakeholders and competitive advantage -- Linking university intellectual capital with market value: the commercialization of knowledge -- Conclusions -- Note -- References -- Chapter 11: Intellectual capital: a (re)turn to practice -- PART III: Stage 3: IC in practice -- Introduction -- Management and the issue of uncertainty -- The MT case -- Analysis of the case -- Discussion and conclusion: towards a practice perspective on IC -- Author's reflections -- Notes -- References -- Chapter 12: Intellectual capital and innovation -- Introduction -- An overview of the link between IC and innovation -- Linking innovation and IC through narrative -- The differing roles of IC across the innovation continuum -- Conclusions and implications for theory and practice -- Note -- References -- Chapter 13: Intellectual capital disclosure in digital communication -- Introduction -- Literature review and research questions -- Methodology -- Findings -- Discussion -- Conclusion -- Notes -- References -- Chapter 14: Enabling relational capital through customer performance measurement practices: a study of not-for-profit organizations -- Introduction -- The influences and effects of customer performance measurement practices -- Research method -- Results and discussion -- Conclusion -- Appendix A: survey questions -- References -- Chapter 15: Sustained competitive advantage and strategic intellectual capital management: evidence from Japanese high performance small to medium sized enterprises -- Introduction -- Theoretical framework and key concepts -- Research method -- Findings of the case analysis -- Discussion -- Conclusion -- Note -- References -- Chapter 16: Towards an integrated intellectual capital management framework -- Background. Initiatives addressing IC management -- Theoretical background to the IC management framework -- Developing an integrated IC management framework -- Applying the performance management framework in two contexts -- Conclusions -- Note -- References -- Chapter 17: Enabling intellectual capital measurement through business model mapping: the Nexus case -- Introduction -- Literature review -- Method -- The case study -- Discussion and conclusion -- References -- Chapter 18: Intellectual capital disclosure: what benefits, what costs, is it voluntary? -- Introduction -- IC disclosure prior research -- Research methods: who provides the evidence for this chapter? -- What elements of IC are most important to value creation? -- Benefits and costs of IC disclosure -- To what extent is IC disclosure voluntary? -- Concluding remarks -- Notes -- References -- Chapter 19: Wissensbilanz Made in Germany: twelve years of experience confirm a powerful instrument -- Introduction and motivation -- Context -- Key elements of IC reporting and management: Made in Germany (M.i.G.) -- Strength and weakness: a critical reflection after 12 years -- Conceptual limitations of Wissensbilanz and their impact on application -- Conclusion and summary -- Notes -- Appendix: Sample definition of drivers for IC -- Notes -- References -- Chapter 20: A management control system for environmental and social initiatives: an intellectual capital approach -- Introduction -- Literature review and research framework -- Research method -- Analysis and findings -- Discussion and conclusions -- References -- Chapter 21: Levers and barriers to the implementation of intellectual capital reports: a field study -- Introduction -- Research method -- Results -- Discussion and conclusions -- Note -- References -- Chapter 22: Revival of the fittest? Intellectual capital in Swedish companies. Introduction -- The evolution of integrated reporting and the role of IC -- Differing views on IC in the literature -- The development of IC reporting in Sweden and Skandia -- Studying the level of IC disclosures in annual reports -- Empirical findings regarding IC in Swedish annual reports -- Conclusions -- References -- Chapter 23: Emerging integrated reporting practices in the United States -- Introduction -- The US context -- Integrated reporting -- Analytical approach -- Conclusion -- Notes -- Chapter 24: Capital reporting in Sweden: insights about inclusiveness and integrativeness -- Introduction -- Literature review -- Research methodology -- Descriptive results and analysis -- Overall patterns and comparison with similar studies -- Conclusions -- Notes -- References -- PART IV: Stage 2: IC guidelines -- Chapter 25: Key contributions to the intellectual capital field of study -- Introduction -- Measurement and evaluation -- Taxonomy, stocks and flows, and the IC Navigator -- Reporting and disclosure of IC -- Epistemology, knowledge management, strategic logics, IC, and competitive advantage -- The role of IC in business model innovation -- The use of the IC lens on the meso-economic scale -- Conclusion -- References -- Chapter 26: Value creation in business models is based in intellectual capital: and only intellectual capital! -- Introduction -- Business models and configuring value -- IC and value creation measures -- Empirical examples of business models and IC -- Discussion and conclusions -- References -- Chapter 27: Making intellectual capital matter to the investment community -- Introduction -- Conforming to users' needs, but which users? -- Business reporting themes -- Business models as platforms for structuring narratives -- Conclusions -- Note -- References. Chapter 28: Intellectual capital profiles and financial performance of the firm. Dumay, John Ricceri, Federica Nielsen, Christian https://cds.cern.ch/auth.py?r=EBLIB_P_5056435 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2663051 SzGeCERN 20200503232023.0 9781351283397 electronic version electronic version 9781874719045 electronic version electronic version 9781874719045 print version oai:cds.cern.ch:2663051 cerncds:BOOK EBL 5050770 eng HD39.5.G744 2017 658.4/08 Russel, Trevor Greener purchasing opportunities and innovations Saltaire Routledge 1998 326 p Cover -- Half Title -- Title -- Copyright -- Contents -- Foreword -- Introduction -- Section 1: Public Purchasing -- 1 Implementation of Public Green Procurement Programmes -- 2 Towards Greener Government Procurement: An Environment Canada Case Study -- 3 Environmentally Preferable Purchasing: The US Experience -- 4 The Greening of Public Procurement in the Netherlands -- 5 Issues for Environmental Purchasing in Australian Local Government -- 6 Nordic Countries' Green Public Procurement of Paper -- 7 Greener Purchasing and Trade Rules: Can they be Reconciled? -- Section 2: Private Purchasing -- 8 Encouraging Green Procurement Practices in Business: A Canadian Case Study in Programme Development -- 9 Do-It-Yourself or Do-It-Together? The Implementation of Sustainable Timber Purchasing Policies by DIY Retailers in the UK -- 10 Small and Medium-Sized Enterprises: The Implications of Greener Purchasing -- 11 An Exploratory Examination of Environmentally Responsible Straight Rebuy Purchases in Large Australian Organisations -- 12 Integrating Environmental Criteria into Purchasing Decisions: Value Added? -- 13 Global Environmental Management: An Opportunity for Partnerships -- Section 3: Innovations -- 14 The Green Purchasing Network, Japan -- 15 The European Green Purchasing Network: Addressing Purchasers across Sectors and Boundaries -- 16 Putting the Green into Greener Purchasing: Protecting Nature Consciously -- 17 The Role of Independent Eco-Iabelling in Environmental Purchasing -- 18 Ethical Purchasing: Developing the Supply Chain beyond the Environment -- Section 4: Case Studies -- 19 The Practicalities of Greener Purchasing: A Guide with Examples from Washington State -- 20 Enabling Environmentally Conscious Decision-Making in Supply Chains: The Xerox Example -- 21 Purchasing Operations at Digital's Computer Asset Recovery Facility. 22 Integrating Environmental Considerations into Purchasing Programmes at Procter & Gamble -- 23 Environmental Purchasing: Some Thoughts and an IBM Case Study -- 24 How Effective is B&Q's Timber Purchasing Policy in Encouraging Sustainable Forest Management? -- Bibliography -- Biographies. https://cds.cern.ch/auth.py?r=EBLIB_P_5050770 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 21 PUBLIC BOOK DELETED 2663050 SzGeCERN 20200503232023.0 9781351283021 electronic version electronic version 9781874719151 electronic version electronic version 9781874719151 print version oai:cds.cern.ch:2663050 cerncds:BOOK EBL 5050738 eng GE300.G744 2017 658.4/08 Wehrmeyer, Walter Greening people human resources and environmental management Saltaire Routledge 1996 410 p Cover -- Half Title -- Title -- Copyright -- Contents -- Foreword -- Foreword -- Introduction -- Part 1: Environmental Management and Human Resources Management (HRM) -- 1. Total Quality Environmental Management and Human Resource Management -- 2. Best Environmental HRM Practices in the USA -- 3. Managing Corporate Environmental Policy: A Process of Complex Change -- 4. Who's Afraid of Local Agenda 21? A Survey of UK Local Government Environmental Co-ordinators' Background, Values, Gender and Motivation -- 5. Industrial Relations and the Environment in the UK -- Part 2: Managing People -- 6. The European Environmental Executive: Technical Specialist or Corporate Change Agent? -- 7. Identification and Relevance of Environmental Corporate Cultures as Part of a Coherent Environmental Policy -- 8. The Role for the Personnel Practitioner in Facilitating Environmental Responsibility in Work Organisations -- 9. Women, Environmental Management and Human Resources Management -- 10. Employees Give Business its Green Edge: Employee Participation in Corporate Environmental Care -- Part 3: Training and Skills towards Environmental Improvement -- 11. Training for Environmental Improvement -- 12. Environmental Training in British and German Companies -- 13. Managing the Learning of Ecological Competence -- 14. The Greening of European Management Education -- 15. Working in Environment: Skills, Expertise and New Opportunities -- Case Studies -- 16. Learning to Change: Implementing Corporate Environmental Policy in the Rover Group -- 17. Analysis for Environmental Training Needs -- 18. Action through Ownership: Learning the Way at Kent County Council -- 19. A Global Challenge: Environment Management in Cable & Wireless -- Author Biographies -- List of Acronyms -- Index. https://cds.cern.ch/auth.py?r=EBLIB_P_5050738 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 21 PUBLIC BOOK DELETED 2663048 SzGeCERN 20210421203059.0 9781119311843 electronic version electronic version 9781119311843 print version 9781119311874 electronic version electronic version oai:cds.cern.ch:2663048 cerncds:BOOK EBL 5050346 eng HD30.28 658.4/012 Cummings, Stephen The strategy pathfinder core concepts and live cases 3rd ed. Newark, NJ John Wiley & Sons 2017 467 p ebook Intro -- THE STRATEGY PATHFINDER -- Contents -- The Strategy Pathfinder Map -- Pathways to Strategy -- About the Creators -- 1 Strategic Purpose -- It's Not Just About the Money -- Vehicles for Strategic Purpose -- Vision -- Mission -- Core values -- Objectives -- Strategy statements -- Where Does an Organisation's Purpose Come From? -- What Are the Constraints on CEO Power? -- Who Are the Other Movers and Shakers that Influence Strategic Purpose? -- External dependent stakeholders -- Internal dependent groups -- Non-dependent groups -- Other social influencers -- How Can Different Stakeholder Interests Be Managed Strategically? -- Who Determines Strategic Purpose? -- Strategic Purpose Key Learnings Mind-Map -- 1-1 Tesla: Electric Dreams -- 1-2 NZ Police: Safer Communities Together -- 1-3 LEGO: The Power of "Clutch Power" -- 1-4 The NHS: Merry Men and Virgins -- 1-5 SpaceX: Falcon Rising -- Part I The Strategic Environment -- 2 Macro-Shocks -- The Impacts of Macro-Environmental Forces: The Role of Boundedness -- Detecting Movements in the Macro-Environment -- Analysing Macro-Environmental Forces -- Identifying Key Macro-Environmental Forces -- Developing Scenarios -- Strategic Agility: Flexing with the Environment -- Macro-Shocks Key Learnings Mind-Map -- 2-1 Broadwood and Steinway: Canoes versus Ironclads -- 2-2 The French and British Armies: Stunning Victories and Defeats -- 2-3 Rover: Slipping or Skidding? -- 2-4 Nike: Learning and Doping -- 2-5 Woolyarns: Perino Scenarios -- 3 Industry Forces -- Strategic Hell: Perfect Competition -- The Industry Life Cycle -- Industry Structure -- Industry Forces -- Power: the horizontal axis -- Entry/substitution: the vertical axis -- Rivalry -- Strategic groups -- Cooperative Forces -- Complementors -- Co-opetition -- Industry Forces Key Learnings Mind-Map -- 3-1 Sportsbrand: Winners and Losers. 3-2 Carrefour: The Price of Entry -- 3-3 Dell: High-Tech Hell -- 3-4 Ranbaxy: Ranbaxy's Rise, Big Pharma's Demise? -- 3-5 BMX: From "Joe Kid" to ESPN -- Part II The Strategic Environment -- 4 Competitive Advantage -- Competitive Advantage -- Competitive Strategy -- Strategy as Positioning (or "Fit") -- The Generic Strategy Matrix -- Four different scope strategies -- The strategic "clock" -- Six different differentiation strategies -- Gaming for position -- Blue Ocean Strategies -- Supporting Competitive Position -- Competitive Advantage Key Learnings Mind-Map -- 4-1 Tesco: The Train Pulling in is Tesco -- 4-2 IBB: Mirage? -- Islamic beliefs -- Islamic banking -- 4-3 Royal Air Maroc: Red, Green … and Blue? -- 4-4 Two Brews: AB InBev vs. Your Local Craft Brewery -- 4-5 Cereal Brothers: Cereality or Seriously? -- 5 Resource-Based Advantage -- Culture -- Organisational culture as a basis of competitive advantage -- The strategic value of national context and culture -- Resources and Capabilities -- The emergence of the Resource-Based View of the firm -- The Evolution of Dynamic Capabilities -- The Future of Culture, Resources and Capabilities as Sources of Strategic Advantage -- Resource-Based Advantage Key Learnings Mind-Map -- 5-1 Tower Records: A Tale of Two Towers -- 5-2 Taytos: Out of the Frying Pan -- 5-3 Mojo MDA: Sydney Chainsaw Massacre -- 5-4 Channel 5 & the BBC: Competing with the New Kids on the Block -- 5-5 Hyundai: Striking a Chord? -- 6 Business Model Advantage -- What Are Business Models? -- One-sided business models -- Multi-sided/platform models -- How to Do It? -- Do it by drawing it -- Barriers to Business Model Innovation -- Is a Business Model the Same as a Strategy? -- Business Model Advantage Key Learnings Mind-Map -- 6-1 IKEA: Kit-Set Business Model -- 6-2 Synear: Dumplings to Villas. 6-3 Friendsurance: I Get By with a Little Help From … -- 6-4 De Halve Maan: Hey Juice, Hey Beer -- 6-5 McDonald's: Dick and Mac's Tennis Court Modelling -- 7 Corporate Advantage -- Why Does the Multi-Business (M-form) Exist? -- What Businesses Should They Be In? -- Corporate Strategy in Practice -- Portfolio management (corporate development) -- Restructuring (stand-alone influence) -- Sharing activities (central functions and services) -- Transferring skills (linkage influence) -- Corporate Advantage and the Role of the Centre -- Corporate Advantage Key Learnings Mind-Map -- 7-1 Z Enterprises: Parenting Problems -- 7-2 GE: A Conglomerate By Any Other Name? -- 7-3 easyGroup: Easy Does It? -- 7-4 Tata: Staying Power -- 7-5 Walkman, iPod -- Sony, Apple: Decline and Fall? -- Part III Strategic Growth -- 8 New Ventures -- Innovation and Entrepreneurship -- Incubators and accelerators -- Frameworks for thinking strategically about innovation -- Entrepreneurship -- Encouraging innovation and entrepreneurship in organisations -- External New Ventures -- Strategic alliances -- Mergers and acquisitions (M&A) -- The Best Approach to New Ventures? It's About Strategic Choices … -- New Ventures Key Learnings Mind-Map -- 8-1 Pixar and Marvel: Ka-powing Disney -- 8-2 Ofo: China's Uber for Bicycles -- 8-3 M-Pesa: Innovation Out of Africa -- 8-4 Evandale Gardens: Rhubarb, Rhubarb -- 8-5 Jersey Postal: Check's in the Post -- 9 Crossing Borders -- Why Do Countries Specialise and Organisations Trade Across National Boundaries? -- Why Do Organisations Leave Their Home Countries? -- What Are the Obstacles to Crossing Borders? -- What Strategies Can Be Used for Competing Internationally? -- Which Borders Should Be Crossed? -- What Methods Can Be Used for Crossing Borders? -- How Can Organisations Retreat and Retrench Back from New Markets?. How Can Organisations Structure Themselves for Competing Across Borders? -- Crossing Borders Key Learnings Mind-Map -- 9-1 Kodak: Do You Feel Lucky? -- 9-2 Korean Airlines: Biggles Does Korea -- 9-3 Banque du Sud: Buildinga Pan-Regional Actor? -- 9-4 Red Cross/Red Crescent: Humanitarian Movements and Boundaries -- 9-5 HSBC: The World's Local Bank -- 10 Leading Strategic Change -- Conventional Intervention Models for Leading Change -- Newer (and More Nuanced) Frameworks for Guiding Change -- Different levels of change -- Different change needs and styles -- Different instigators of strategic change -- Barriers to strategic change -- Managing different forms of resistance to strategic chan -- The Strategic Leadership Challenge: Blending Change and Continuity -- Leading change from "the middle" -- Systems thinking -- The power of strategic stories -- The growing trend towards utilising strategy directors -- Leading Change Key Learnings Mind-Map -- 10-1 Pringle: Hanging by a Thread … -- 10-2 Reliant: The Plastic Pig -- 10-3 Church(es): Three in One -- 10-4 The Oakland A's: Billy Beane's Leading Ugly -- 10-5 Little Chef: Big Chef Big Changes? -- 11 Evaluating Strategic Performance -- Accounting-Based Performance Measures -- Stock Market Performance Measures -- Strategy Assessment -- Broader Views of Performance: Ethics and Sustainability -- Business Ethics and Corporate Integrity -- Two ethical orientations -- Three ethical principles -- Sustainability and The Triple Bottom Line -- Balance in All Things: The Balanced Scorecard and Risk Assessment Matrix -- The Balanced Scorecard -- Risk Assessment Matrix -- Strategic Evaluation Key Learnings Mind-Map -- 11-1 Southwest Airlines: Southwest Satisfaction -- 11-2 Harley-Davidson: Risky Image, Livewire Response, Peak Performance? -- 11-3 Handi Ghandi Curries: No Worries?. 11-4 Post Office: Sustaining Postman Pat? -- 11-5 Aegon: Challenged by Kids -- Part IV Maverick Strategies -- 12 The Maverick: Six Senses of Strategy -- VISUAL Observations of Strategy -- AUDIO Observations of Strategy -- TASTE Observations of Strategy -- OLFACTORY Observations of Strategy -- KINETIC Observations of Strategy -- The "SIXTH SENSE" of Strategy? The Keystone -- Maverick Strategies Key Learnings Mind-Map -- Apple: Sensography in Action -- BIPA: More than skin deep? -- Exercise Group -- Appendices -- Practice Cases for Job Interviews -- Turkish Delight: Into Africa? -- Natural History New Zealand: Natural Selection? -- Universal: Anticipation -- Delft Belting: MegaFuture? -- Danone Argentina: Once a Maverick …? -- Grey Boxes -- Using The Strategy Pathfinder 3rd Edition for Assessments and Examinations -- Examinations -- Assessments -- Term 1 Assessment (100%) -- The mini case -- The briefing note -- Marking Guidelines -- In more detail -- General Comments -- Marking Grid -- Sample External Examiner Comments -- Notes -- References -- Glossary of Core Strategic Management Concepts -- Acknowledgements -- Index -- EULA. EBL201902 SzGeCERN Information Transfer and Management BOOK Angwin, Duncan https://cds.cern.ch/auth.py?r=EBLIB_P_5050346 ebook 201902 n 201908 21 PUBLIC https://catalogue.library.cern/legacy/2663048 BOOK MIGRATED 2663046 SzGeCERN 20210421203100.0 9781315352886 electronic version electronic version 9781498732468 electronic version electronic version 9781498732468 print version oai:cds.cern.ch:2663046 cerncds:BOOK EBL 5049714 eng QA248.5.E476 2018 658.403601511313 Emrouznejad, Ali Fuzzy analytic hierarchy process Boca Raton, FL Chapman and Hall/CRC 2017 431 p ebook Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Editors -- Contributors -- Chapter 1: Analytic Hierarchy Process and Fuzzy Set Theory -- 1.1 Introduction -- 1.2 Fuzzy Set Theory -- 1.3 Fuzzy Set Theory and FAHP -- 1.4 Integrated AHP and Fuzzy Set Theory-Recent Literature (2007 to 2016) -- 1.5 Conclusion -- References -- Chapter 2: The State of the Art in FAHP in Risk Assessment -- 2.1 Introduction -- 2.2 Classification -- 2.2.1 Fuzzy Singular Analytic Hierarchy Process -- 2.2.2 Fuzzy Hybrid Analytic Hierarchy Process -- 2.3 The Classification Scheme and Recommendations -- 2.4 Findings and Future Research on Risk Assessment -- 2.5 Conclusion -- References -- Chapter 3: Comparison of Methods in FAHP with Application in Supplier Selection -- 3.1 Introduction -- 3.2 A Brief History of FAHP Methods -- 3.2.1 Van Laarhoven and Pedrycz (1983) Fuzzy Priority Method -- 3.2.2 Buckley (1985) Geometric Mean Method -- 3.2.3 Chang (1996) Extent Analysis Method -- 3.2.4 Mikhailov (2000) Fuzzy Preference Programming Method -- 3.2.5 Mikhailov (2003) Fuzzy Prioritization Method -- 3.2.6 Advantages and Disadvantages of FAHP Methods -- 3.3 Literature Review on FAHP Applicationsin Supplier Selection -- 3.4 Proposed Supplier Selection Model -- 3.4.1 Formulation of Proposed Supplier Selection Problem -- 3.4.2 Solution Procedure of Proposed Supplier Selection Problem -- 3.4.3 A Numerical Example of the Proposed Supplier Selection Model with Green Issues -- 3.5 Conclusions -- References -- Chapter 4: Data Mining Group Decision-Making with FAHP: An Application in Supplier Evaluation and Segmentation -- 4.1 Introduction -- 4.2 Literature Review -- 4.3 Proposed Methodology -- 4.3.1 Fuzzy Group Analytic Hierarchy Process -- 4.3.2 SAW Method -- 4.3.3 Data Mining -- 4.3.4 The Supplier Segmentation Model -- 4.4 Illustrative Case Study. 4.4.1 Company Profile -- 4.4.2 Results and Discussion -- 4.4.2.1 FGAHP Results -- 4.4.2.2 SAW Analysis Results -- 4.4.2.3 Clustering Results and Interpretations -- 4.5 Conclusion and Future Research Directions -- Acknowledgments -- References -- Chapter 5: Group Decision-Making under Uncertainty: FAHP Using Intuitionistic and Hesitant Fuzzy Sets -- 5.1 Introduction -- 5.2 Intuitionistic Fuzzy Sets -- 5.3 AHP Using IFSs -- 5.4 Algorithmic Steps of the AHP Method Based on IVIFSs -- 5.5 Application of IVIF-AHP to Personnel Selection -- 5.6 Hesitant Fuzzy Sets -- 5.7 Hesitant FAHP -- 5.8 HFLTS-Based AHP Method -- 5.9 Application of HFLTS-Based AHP Method to Personnel Selection -- 5.10 Conclusions -- References -- Chapter 6: An Integrated TOPSIS and FAHP -- 6.1 Introduction -- 6.2 Literature Review -- 6.3 Implementation of an FAHP-VWA-TOPSIS Method -- 6.4 Numerical Example -- 6.4.1 Analysis of Results -- 6.5 Conclusions -- References -- Chapter 7: An Integrated Fuzzy Delphi-AHP-TOPSIS with an Application to Logistics Service Quality Evaluation Using a Multistakeholder Multiperspective Approach -- 7.1 Introduction -- 7.2 Literature Review -- 7.3 Basics of FDELPHI, FAHP, and Fuzzy TOPSIS -- 7.3.1 FDELPHI -- 7.3.2 FAHP -- 7.3.3 Fuzzy TOPSIS -- 7.4 Solution Approach -- 7.5 Numerical Application -- 7.6 Conclusions and Direction for Future Works -- References -- Chapter 8: The Inclusion of Logical Interaction between Criteria in FAHP -- 8.1 Introduction -- 8.2 Literature Review -- 8.2.1 Interpolative Boolean Algebra -- 8.2.2 Generalized Boolean Polynomials -- 8.2.3 Logical and Pseudo-LA -- 8.2.4 Literature Review (Combined AHP-IBA Approach) -- 8.3 Supplier Selection in the Telecommunications Sector -- 8.3.1 The Supplier Selection Process -- 8.4 Results -- 8.4.1 The Application of FAHP to Supplier Selection. 8.4.2 The Inclusion of Logical Interaction between Criteria in Supplier Selection -- 8.4.3 The Inclusion of Logical Interaction in FAHP -- 8.5 Conclusions -- References -- Chapter 9: Interval Type-2 FAHP: A Multicriteria Wind Turbine Selection -- 9.1 Introduction -- 9.2 IT2 Fuzzy Sets -- 9.3 Literature Review: Type-2 Fuzzy Sets in Multicriteria Decision-Making -- 9.4 Wind Turbine Investments -- 9.5 Multicriteria Wind Turbine Technology Selection Using Type-2 FAHP -- 9.5.1 Methodology -- 9.5.2 An Illustrative Application -- 9.6 Conclusions -- References -- Chapter 10: A Decision Support for Prioritizing Process Sustainability Tools Using FAHP -- 10.1 Introduction -- 10.2 Literature Review -- 10.2.1 Review of Process Sustainability Tools -- 10.2.2 Review of Sustainable Manufacturing Indicators -- 10.2.3 Review of Applications of FAHP in the Sustainability Domain -- 10.3 Methodology for Ranking Process Sustainability Tools -- 10.4 Case Study -- 10.4.1 Description of Process Sustainability Tools -- 10.4.1.1 Energy Modeling -- 10.4.1.2 Waste Minimization -- 10.4.1.3 Carbon Footprint Analysis -- 10.4.1.4 Parametric Optimization -- 10.4.1.5 Water Footprint Analysis -- 10.5 Results and Discussion -- 10.6 Conclusions -- References -- Chapter 11: Use of FAHP for Occupational Safety Risk Assessment: An Application in the Aluminum Extrusion Industry -- 11.1 Introduction -- 11.2 Literature Review -- 11.3 Methodology -- 11.3.1 Risk Assessment Process -- 11.3.2 Risk Assessment Methods -- 11.3.3 PRA Method -- 11.3.4 FAHP -- 11.3.5 Fuzzy TOPSIS -- 11.3.6 The Proposed Approach -- 11.4 A Case Application for the Aluminum Extrusion Industry -- 11.4.1 Aluminum Extrusion and Description of the Observed Plant -- 11.4.2 Risk Evaluation Using the Proposed Approach -- 11.4.3 Potential Control Measures of the Hazards -- 11.5 Conclusions and Future Directions -- References. Chapter 12: Assessing the Management of Electronic Scientific Journals Using Hybrid FDELPHI and FAHP Methodology -- 12.1 Introduction -- 12.2 Evaluation and Management of Scientific Journals -- 12.3 Proposed Hybrid Fuzzy Methodology -- 12.3.1 Description of the Mathematical Modeling -- 12.3.2 Phase I-FDELPHI -- 12.3.3 Phase II-FAHP -- 12.3.4 Sampling -- 12.4 Analysis and Results -- 12.4.1 Application of FDELPHI -- 12.4.1.1 Selection of Criteria by Using the FDELPHI Method -- 12.4.2.2 Application of FAHP -- 12.5 Managerial Implications -- 12.6 Conclusions -- References -- Chapter 13: Applications of FAHP in Analysing Energy Systems -- 13.1 Introduction -- 13.2 Energy Sources -- 13.3 Renewable Energy Technology -- 13.4 Energy Policy and Site Selection -- 13.5 Alternative Fuels -- 13.6 Conclusions -- References -- Chapter 14: FAHP-Based Decision Making Framework for Construction Projects -- 14.1 Introduction -- 14.2 Application of FAHP in Construction Management -- 14.2.1 Project Site Selection -- 14.2.2 Contractor Selection and Bid Evaluation -- 14.2.3 Selection of Construction Means and Methods -- 14.2.4 Construction Risk Analysis and Assessment -- 14.2.5 Other Emerging Areas -- 14.3 Evolution of Measuring Project Complexity -- 14.4 FAHP for Measuring Project Complexity -- 14.5 Conclusions -- References -- Chapter 15: Plantation Land Segmentation for an Orchard Establishment Using FAHP -- 15.1 Introduction -- 15.2 Review of Literature -- 15.3 Multicriteria Comparison of Land Segmentationin Orchard Founding Using FAHP -- 15.4 Suitability of FAHP in Orchard Establishment -- 15.5 Multiattribute Comparisons for Plantation of Several Alternative Fruits -- 15.6 Conclusions -- References -- Chapter 16: Developing a Decision on the Type of Prostate Cancer Using a FAHP -- 16.1 Introduction -- 16.2 Related Research -- 16.3 FAHP Procedure -- 16.4 Implementation. 16.5 Conclusions -- References -- Chapter 17: Assessing Environmental Actions in the Natura 2000 Network Areas Using FAHP -- 17.1 Introduction -- 17.2 Literature Review -- 17.3 Decision Criteria for Carrying Out Environmental Actions in the Natura 2000 Network Areas -- 17.4 Methodology -- 17.4.1 Fuzzy Sets -- 17.4.2 Analytic Hierarchy Process -- 17.5 Obtaining the Weight -- 17.5.1 FAHP Survey -- 17.6 Conclusions -- References -- Index. EBL201902 Information Transfer and Management SzGeCERN BOOK Ho, William https://cds.cern.ch/auth.py?r=EBLIB_P_5049714 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2663046 BOOK MIGRATED 2663035 SzGeCERN 20200503232023.0 9781351285940 electronic version electronic version 9781783532032 electronic version electronic version 9781783532032 print version oai:cds.cern.ch:2663035 cerncds:BOOK EBL 5046933 eng HD60.B374 2017 658.4083 Casado Caneque, Fernando Base of the pyramid 3.0 sustainable development through innovation and entrepreneurship Saltaire Routledge 2015 224 p Cover -- Half Title -- Title -- Copyright -- Contents -- List of figures, tables and boxes -- Prologue: Defining the path towards a BoP 3.0 -- Introduction. Lessons learned: Moving the inclusive business agenda forward -- PART I: BoP vision and capability: The importance of purpose and culture -- 1 The importance of vision and purpose for BoP business development -- 2 Building inclusive markets from the inside out -- PART II: The role of engagement, participation and bottom-up innovation -- 3 Participatory market research for BoP innovation -- 4 Open innovation and engagement platforms for inclusive business design -- PART III: Building ecosystems for inclusive business -- 5 Bridging the pioneer gap: Financing the missing middle -- 6 Creating an innovation ecosystem for inclusive and sustainable business -- PART IV: Market access for all: Solving the distribution challenge -- 7 The last mile: A challenge and an opportunity -- 8 A shared-channel model for BoP access in the Philippines -- PART V: Partnership frameworks for BoP business -- 9 Partnerships for poverty alleviation: Cross-sector and B2B collaboration in BoP markets -- 10 Access2innovation: An Innovative BoP network partnership model -- PART VI: Inclusive business models as a response to environmental sustainability challenges -- 11 Urban agriculture as a strategy for addressing food insecurity of BoP populations -- 12 The triple leap: Addressing poverty and environmental challenges both at home and abroad -- About the authors -- Index. Hart, Stuart L https://cds.cern.ch/auth.py?r=EBLIB_P_5046933 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2663023 SzGeCERN 20200503232023.0 9781351285551 electronic version electronic version 9781783534760 electronic version electronic version 9781783534760 print version oai:cds.cern.ch:2663023 cerncds:BOOK EBL 5042850 eng HD60.D484 2017 658.408 Blowfield, Michael Development-oriented corporate social responsibility multinational corporations and the global context Saltaire Routledge 2015 273 p Cover -- Half Title -- Title -- Copyright -- Contents -- List of figures and tables -- Acknowledgements -- Abbreviations -- Introduction. Corporate social responsibility in developing countries: a development-oriented approach -- 1 A corporate social responsibility calculus: Global dialogue and local discourses -- 2 Bridging the governance gap with political CSR -- 3 Operational intent and development impact in mining -- 4 The headquartering effect in international CSR -- 5 Indigenous communities and mega-projects: Corporate social responsibility (CSR) and consultation-consent principles -- 6 Migrants' engagement in CSR: The case of a Ghanaian migrants' transnational social enterprise -- 7 CSR, mining and development in Namibia -- 8 CSR and the development deficit: Part of the solution or part of the problem? -- 9 Social and environmental accountability in developing countries -- 10 CSR practices in Turkey: Examining CSR reports -- 11 CSR and sexual and reproductive health: A case study among women workers in the football manufacturing industry of Sialkot, Pakistan -- 12 CSR and firm performance: New evidence from developing countries -- 13 Political CSR and social development: Lessons from the Bangladesh garment industry -- About the editors and contributors -- Index. Karam, Charlotte Jamali, Dima https://cds.cern.ch/auth.py?r=EBLIB_P_5042850 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2663019 SzGeCERN 20191106223630.0 9781351281423 electronic version electronic version 9781874719663 electronic version electronic version 9781874719663 print version oai:cds.cern.ch:2663019 cerncds:BOOK EBL 5042774 eng HD30.255.S335 2017 658.4/08 Schaltegger, Stefan An introduction to corporate environmental management striving for sustainability Saltaire Routledge 2003 385 p Cover -- Half Title -- Title -- Acknowledgements -- Copyright -- Contents -- Part 1: Overview -- 1. Purpose, structure and contents of this textbook -- 2. Management and business companies -- 3. Environmental orientation -- 4. Sustainable development -- 5. Business management on its way to sustainability -- 6. Business management and its stakeholders -- Part 2: Success factors and fields of action -- 7. Balanced socioeconomic management of the environmental challenge -- 8. Markets, efficiency and eco-efficiency -- 9. Systems of legal regulation, environmental norms and standards -- 10. Partnerships and legitimacy -- 11. Political arenas -- Part 3: Strategic environmental management -- 12. Strategic process and strategic options -- 13. Basic corporate environmental strategies -- 14. Competitive strategies -- 15. Risk management strategies -- Part 4: Concepts and tools of corporate environmental management -- 16. Eco-marketing -- 17. Environmental accounting -- 18. Environmental management systems and eco-control -- 19. Outlook and future of corporate environmental management -- Appendix: Model environmental agreement -- Bibliography -- List of abbreviations -- Index. Burritt, Roger Petersen, Holger https://cds.cern.ch/auth.py?r=EBLIB_P_5042774 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 21 PUBLIC BOOK DELETED 2663011 SzGeCERN 20200503232023.0 9781351287791 electronic version electronic version 9781783530618 electronic version electronic version 9781783530618 print version oai:cds.cern.ch:2663011 cerncds:BOOK EBL 5042683 eng HD9999.L852.S878 2017 658.408 Gardetti, Miguel Ángel Sustainable luxury managing social and environmental performance in iconic brands Saltaire Routledge 2014 173 p Cover -- Half Title -- Title -- Copyright -- Contents -- Foreword -- Introduction -- PART I: -- 1 Is sustainable luxury fashion possible? -- 2 Fake remake: The role of the luxury fashion market in driving sustainable fashion practices -- 3 Luxury marketing strategies related to ethical sourcing -- PART II: -- 4 Redefining luxury in the 21st century: where was yours made? A case study of Made in San Francisco -- 5 Sustainable consumption: Luxury branding as a catalyst for social change -- 6 Luxury versus conscious consumption: are they really paradoxical? A study of Brazilian and Portuguese luxury consumer behaviour -- 7 Are luxury purchasers really insensitive to sustainable development? New insights from research -- PART III: -- 8 Luxury Lodges New Zealand and prospects for elegant disruption -- 9 Diversity of human capital as a driver for corporate responsibility engagement: The case of the luxury industry -- 10 The wild side of luxury: Can nature continue to sustain the luxury industry? -- About the editors. Torres, Ana Laura https://cds.cern.ch/auth.py?r=EBLIB_P_5042683 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2663010 SzGeCERN 20200503232023.0 9781351285827 electronic version electronic version 9781783532230 electronic version electronic version 9781783532230 print version oai:cds.cern.ch:2663010 cerncds:BOOK EBL 5042677 eng HD60.K767 2017 658.4083023 Kross, Katie Profession and purpose a resource guide for MBA careers in sustainability 2nd ed. Saltaire Routledge 2014 201 p Cover -- Half Title -- Title -- Copyright -- Contents -- Foreword -- Preface -- About the author -- Acknowledgments -- Part I: Evaluating your options -- Getting started: MBA careers in sustainability -- What is sustainability? -- Sustainable jobs and internship options -- Framing your search -- Tips for an off-campus search -- Making the most of informational interviews -- Gaining experience -- Getting to your dream job: start with the end in mind -- Plan B? -- A note about salaries -- Staying the course -- Organizing your search -- Part II: Navigating specific career paths -- Corporate sustainability & CSR -- Sustainability consulting -- Sustainable real estate & green building -- Energy & cleantech -- Green marketing -- Environmental conservation/nonprofits -- Social entrepreneurship & impact investing -- Sustainable investing -- Mission-driven business -- Additional career paths -- Final thoughts -- Part III: Job search resources -- Sustainable companies -- Internet research resources -- Job posting websites -- Reports -- Books -- Events -- Geographic search resources -- Endnotes -- Index. https://cds.cern.ch/auth.py?r=EBLIB_P_5042677 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2663009 SzGeCERN 20200503232023.0 9781351284271 electronic version electronic version 9781783535040 electronic version electronic version 9781783535040 print version oai:cds.cern.ch:2663009 cerncds:BOOK EBL 5042673 eng HD60.R493 2017 658.408 Rezaee, Zabihollah Business sustainability performance, compliance, accountability and integrated reporting Saltaire Routledge 2015 307 p Cover -- Half Title -- Title -- Copyright -- Dedication -- Contents -- Figures -- Tables -- Preface -- 1. Introduction to business sustainability performance, reporting, and assurance -- 1.1 Introduction -- 1.2 Definition of business sustainability and multiple bottom line (MBL) -- 1.3 Dimensions of sustainability performance -- 1.3.1 Economic sustainability performance -- 1.3.2 Governance dimension of sustainability performance -- 1.3.3 Social dimension of sustainability performance -- 1.3.4 Ethical dimension of sustainability performance -- 1.3.5 Environmental dimension of sustainability performance -- 1.4 Value relevance of sustainability performance -- 1.5 Sustainability reporting -- 1.6 Principles of business sustainability -- 1.7 Status of sustainability performance, reporting, and assurance -- 1.8 Professional organizations influencing sustainability development, reporting, and assurance -- 1.9 Best practices of sustainability performance, reporting and assurance -- 1.10 Conclusions -- 1.11 Action points -- 2. Relevance and importance of business sustainability for corporations -- 2.1 Introduction -- 2.2 The role of corporations in society -- 2.3 Corporate key stakeholders -- 2.3.1 Shareholders -- 2.3.2 Suppliers -- 2.3.3 Employees -- 2.3.4 Government -- 2.3.5 Customers -- 2.3.6 Environment -- 2.3.7 Society -- 2.3.8 Creditors -- 2.4 Stakeholder value creation -- 2.5 Corporate reporting -- 2.6 Value relevance of conventional financial reports -- 2.7 Future of corporate reporting -- 2.8 Value relevance of sustainability information/conceptual framework -- 2.9 Ways to improve quality and quantity of sustainability performance and reporting -- 2.10 Integration of financial and nonfinancial information -- 2.11 Financial and nonfinancial key performance indicators (KPIs) -- 2.11.1 Financial KPIs -- 2.11.2 Nonfinancial KPIs -- 2.12 Conclusions. 2.13 Action points -- 3. Business sustainability drivers -- 3.1 Introduction -- 3.2 Sustainability theories -- 3.2.1 Shareholder/agency theory -- 3.2.2 Stakeholder theory -- 3.2.3 Legitimacy theory -- 3.2.4 Signaling theory -- 3.3 Sustainability standards -- 3.3.1 ISO 9000 -- 3.3.2 ISO 14000 -- 3.3.3 ISO 20121 -- 3.3.4 ISO 26000 -- 3.3.5 ISO 27001 -- 3.3.6 ISO 31000 -- 3.4 Regulatory-led sustainability initiatives -- 3.5 Global best practices of sustainability development, performance and reporting -- 3.6 Business sustainability disclosures -- 3.6.1 Mandatory sustainability disclosures -- 3.6.2 Voluntary sustainability disclosures -- 3.7 Academic research on sustainability disclosures -- 3.8 Conclusions -- 3.9 Action points -- 4. Financial dimensions of sustainability performance and reporting -- 4.1 Introduction -- 4.2 Economic versus market value -- 4.3 Sustainable shareholder value creation -- 4.3.1 Short-termism effects -- 4.3.2 Market participant effect -- 4.3.3 Reporting quality effect -- 4.3.4 CFO succession planning -- 4.4 Economic sustainability performance -- 4.5 Integrated financial and internal control reporting -- 4.5.1 Internal control reporting -- 4.6 Management role in financial sustainability performance reporting -- 4.7 Value relevance of economic sustainability performance and disclosures -- 4.8 Conclusions -- 4.9 Action points -- 5. Nonfinancial dimensions of sustainability performance and reporting -- 5.1 Introduction -- 5.2 Governance dimension of sustainability performance -- 5.3 Audit committee -- 5.4 Compensation committee -- 5.5 Nominating committee -- 5.6 Executive compensation -- 5.7 Emerging issues in global corporate governance -- 5.8 Social dimension of sustainability performance -- 5.9 Best practices of CSR -- 5.10 Ethical dimension of sustainability performance -- 5.11 Professional codes of conduct. 5.12 Environmental dimension of sustainability performance -- 5.13 Environmental key performance indicators (KPIs) -- 5.14 Global environmental initiatives -- 5.15 Environmental management systems -- 5.16 Environmental reporting -- 5.17 Financial Reporting Standard 12 -- 5.18 Environmental auditing and assurance -- 5.19 Environmental best practices -- 5.19.1 ISO 14000 -- 5.19.2 ISO 26000 -- 5.19.3 LEED certification -- 5.20 Emerging opportunities and challenges of environmental performance, reporting, and assurance -- 5.21 Conclusions -- 5.22 Action points -- 6. Sustainability performance reporting and assurance -- 6.1 Introduction -- 6.2 Relevance of sustainability performance reporting -- 6.3 Mandatory reporting -- 6.4 Voluntary reporting -- 6.5 Guiding principles of integrated reporting -- 6.6 Sustainability reporting assurance -- 6.7 Best practices of sustainability reporting -- 6.8 Best practices of sustainability assurance -- 6.9 Conclusions -- 6.10 Action points -- 7. Future of sustainability performance, reporting, and assurance -- 7.1 Introduction -- 7.2 Sustainability reporting guidelines -- 7.2.1 Obtaining an overview of the G4 reporting guidelines -- 7.2.2 Prepare the integrated report -- 7.2.3 Prepare to disclose general standard disclosures used by all companies -- 7.3 Future trends in sustainability performance -- 7.4 Future trends in sustainability reporting -- 7.5 Integrated reporting -- 7.6 Electronic sustainability reports using XBRL -- 7.7 Future trends in sustainability assurance -- 7.8 Opportunities and challenges in sustainability reporting and assurance -- 7.9 Conclusions -- 7.10 Action points -- 8. Sustainability performance, reporting, and assurance in action -- 8.1 Introduction -- 8.2 Effective implementation of sustainability performance and accountability reporting -- 8.3 Sustainability risk assessment and management. 8.4 Sustainability risk identification and assessment -- 8.4.1 Strategic risk -- 8.4.2 Operations risk -- 8.4.3 Compliance risk -- 8.4.4 Reputation risk -- 8.4.5 Financial risk -- 8.4.6 Cyberattacks and security breaches risk -- 8.5 Emergence of benefit corporations in the U.S.A -- 8.6 Future of business sustainability -- 8.6.1 Total impact measurement and management (TIMM) -- 8.6.2 Value-adding sustainability development -- 8.7 Integrated thinking -- 8.8 Shareholder value creation of business sustainability -- 8.9 Measuring sustainability value creation -- 8.10 Business sustainability for new ventures and IPOs -- 8.11 The role of the chief sustainability officer -- 8.12 Management accountants' role in sustainability -- 8.13 Global collaboration and leadership for sustainability -- 8.14 Conclusions -- 8.15 Action points -- Bibliography -- About the author -- Index. https://cds.cern.ch/auth.py?r=EBLIB_P_5042673 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2663004 SzGeCERN 20200503232023.0 9781351287593 electronic version electronic version 9781783530847 electronic version electronic version 9781783530847 print version oai:cds.cern.ch:2663004 cerncds:BOOK EBL 5042620 eng HC440.E5.C67 2017 658.40830954 P D, Jose Corporations and sustainability the south Asian perspective Saltaire Routledge 2016 227 p Cover -- Half Title -- Title -- Copyright -- Contents -- Introduction: Corporations and sustainability in South Asia -- 1 Changing the Climate in Indian Aviation -- 2 Implementing environmental management accounting (EMA): A case study from India -- 3 Corporate sustainability initiatives reporting: A study of India's most valuable companies -- 4 Voluntary green ratings in the construction industry: Exploring the underlying agendas -- 5 Coping with globalization and climate change: Lessons learned from pro-poor business in South Asia -- 6 The dyestuff industry in Gujarat: Environmental issues -- 7 An approach for assessing the multi-stakeholder perspective: A case study of an integrated steel plant -- 8 Greening engineering SMEs in India -- 9 Rethinking CSR: The case of the oil and gas sector in India -- 10 Intellectual property and business enablers for transfer of carbon capture and storage technologies in Asia -- About the authors. https://cds.cern.ch/auth.py?r=EBLIB_P_5042620 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2663001 SzGeCERN 20200503232023.0 9781351277860 electronic version electronic version 9781906093709 electronic version electronic version 9781906093709 print version oai:cds.cern.ch:2663001 cerncds:BOOK EBL 5042535 eng HD60.M64 2017 658.408 Mohin, Timothy Changing business from the inside out a treehugger's guide to working in corporations Saltaire Routledge 2012 281 p Cover -- Half Title -- Title -- Copyright -- Contents -- Preface -- Acknowledgments -- Introduction: Working for good inside a corporation -- 1 The department of good works -- 2 Skills for success in corporate responsibility -- 3 Setting the strategy -- 4 Running a data-driven program -- 5 Environmental sustainability -- 6 Supplier responsibility: Part 1. Establishing the program -- 7 Supplier responsibility: Part 2. The four essential program elements -- 8 Communicate! Part 1. Talking about corporate responsibility -- 9 Communicate! Part 2. The corporate responsibility report and beyond -- 10 Stakeholders and investors -- 11 Employee engagement -- 12 Diversity, governance, and ethics -- 13 Recognition, awards, and rankings -- 14 Match your passion to your profession -- Endnotes -- Index. https://cds.cern.ch/auth.py?r=EBLIB_P_5042535 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 21 PUBLIC BOOK DELETED 2662998 SzGeCERN 20200503232022.0 9781351276313 electronic version electronic version 9781906093532 electronic version electronic version 9781906093532 print version oai:cds.cern.ch:2662998 cerncds:BOOK EBL 5042337 eng HC79.E5.S743 2017 658.4012 Stead, Jean Garner Sustainable strategic management 2nd ed. Saltaire Routledge 2013 304 p Cover -- Half Title -- Title -- Copyright -- Dedication -- Contents -- List of Table, Figures, and Case Exhibits -- Preface -- 1. The Emergence of Sustainable Strategic Management -- Case Vignette 1: Creating Value Through Sustainability at Eastman Chemical Company -- The Changing Economic Worldview -- Pursuing the Triple Bottom Line -- Coevolution and Organizational Survival -- Transformational Change: A Critical Pathway to Organizational Sustainability -- From Strategic Planning to Sustainable Strategic Management -- Chapter Summary -- 2. In Search of Sustainability -- The Science of Sustainability -- The Issue Wheel: Carrying Capacity Meets the Human Footprint -- Ecological Sustainability: Management Happens on Earth -- Social Sustainability: Searching for Equity -- Sustainability: A New Way of Thinking -- Chapter Summary -- Case Vignette 2: The Meaning of Sustainability at Eastman Chemical Company -- 3. Environmental Analysis for Sustainable Strategic Management -- The Coevolving Factors Determining Environmental Turbulence -- The Coevolving Sectors of the Macro Environment -- Traditional Industry Analysis -- Business Ecosystems: Ideal Structures for Sustainable Strategic Management -- The Coevolving Markets of the World -- Environmental Forecasting -- Chapter Summary -- Case Vignette 3: A Brief Environmental History of the Chemical Industry -- 4. SSM Resource Assessment -- The Resources of the Firm -- SSM Resource Assessment Data-Gathering Tools -- Analyzing and Evaluating Resources and Capabilities to Build Core Competencies -- Creating Stakeholder Value via Eco- and Socio-Efficiency -- Beyond Eco- and Socio-Efficiency: Eco- and Socio-Effectiveness -- Chapter Summary -- Case Vignette 4: Eco-Efficiency at Eastman Chemical Company -- 5. SSM Competitive Level Strategies -- The Nature of Competitive Level Strategies. SSM Competitive Level Strategies -- Strategies Dependent on Relative Competitive Position and Market Type -- Chapter Summary -- Case Vignette 5: Product Stewardship at Eastman Chemical Company -- 6. SSM Corporate Level Strategy -- Corporate Expansion Strategies -- The Build or Buy Decision -- Retrenchment and Restructuring Strategies -- SSM Corporate Portfolio -- Chapter Summary -- Case Vignette 6: Corporate Strategy at Eastman Chemical Company -- 7. Choosing and Implementing SSM Strategies -- Choosing Portfolios of SSM Strategies -- Instilling SSM Value Systems -- Creating Meaning Beyond Profit -- Designing Self-Renewing Learning Structures -- Establishing Transformational Change Processes -- Chapter Summary -- Case Vignette 7: Strategies, Structures, and Processes for Implementing SSM at Eastman Chemical Company -- 8. Organizational Governance and Strategic Leadership in SSM -- Establishing Effective Corporate Governance Mechanisms for SSM -- Emerging Perspectives on Organizational Leadership -- Effective Business Ecosystem Leadership -- Building Trusting Relationships -- Chapter Summary -- Case Vignette 8: Strategic Leadership at Eastman Chemical Company -- Bibliography -- Index -- About the Authors. Stead, W Edward https://cds.cern.ch/auth.py?r=EBLIB_P_5042337 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 21 PUBLIC BOOK DELETED 2662997 SzGeCERN 20200503232022.0 9781351276399 electronic version electronic version 9781907643941 electronic version electronic version 9781907643941 print version oai:cds.cern.ch:2662997 cerncds:BOOK EBL 5042335 eng K1327.L457 2017 658.408 Leipziger, Deborah The corporate responsibility code book 3rd ed. Saltaire Routledge 2015 573 p Cover -- Half Title -- Title -- Copyright -- Dedication -- Contents -- Foreword -- A note to readers -- Acknowledgements -- Introduction -- Introduction to the third edition -- Executive summary of corporate responsibility initiatives -- 1 Values, principles, norms, codes and standards -- Part I: Global initiatives -- 2 The OECD Guidelines for Multinational Enterprises -- THE OECD GUIDELINES FOR MULTINATIONAL ENTERPRISES (text) -- 3 The UN Global Compact -- THE GLOBAL COMPACT'S TEN PRINCIPLES (text) -- THE SUSTAINABLE DEVELOPMENT GOALS (text) -- 4 ISO 26000 -- INTERNATIONAL STANDARD ISO 26000: GUIDANCE ON SOCIAL RESPONSIBILITY (text) -- INTERNATIONAL FINANCE CORPORATION'S PERFORMANCE STANDARDS ON SOCIAL AND ENVIRONMENTAL SUSTAINABILITY (text) -- Part II: Human rights -- 5 The Universal Declaration of Human Rights -- THE UNIVERSAL DECLARATION OF HUMAN RIGHTS (text) -- 6 The Guiding Principles on Business and Human Rights -- THE GUIDING PRINCIPLES ON BUSINESS AND HUMAN RIGHTS (selectedtext) -- 7 The Voluntary Principles on Security and Human Rights -- THE VOLUNTARY PRINCIPLES ON SECURITY AND HUMAN RIGHTS (text) -- Part III: Labour rights -- 8 International Labour Organization: Tripartite Declaration of Principles concerning Multinational Enterprises and Social Policy -- TRIPARTITE DECLARATION OF PRINCIPLES CONCERNING MULTINATIONALENTERPRISES AND SOCIAL POLICY (text) -- 9 Social Accountability 8000 -- SOCIAL ACCOUNTABILITY 8000 (text) -- 10 Fair Labor Association: Workplace Code of Conduct -- WORKPLACE CODE OF CONDUCT (text) -- PRINCIPLES OF FAIR LABOR AND RESPONSIBLE SOURCING (text) -- 11 Ethical Trading Initiative: Base Code -- THE ETI BASE CODE (text) -- ETI PRINCIPLES OF IMPLEMENTATION (text) -- 12 Other major initiatives in the clothing industry -- The Fair Wear Foundation -- Worldwide Responsible Accredited Production. The Worker Rights Consortium -- Sustainable Apparel Coalition -- Part IV: Health issues -- 13 ILO Code of Practice on HIV/AIDS and the World of Work -- AN ILO CODE OF PRACTICE ON HIV/AIDS AND THE WORLD OF WORK (text) -- Part V: From environment to sustainability -- THE BUSINESS CHARTER FOR SUSTAINABLE DEVELOPMENT (text) -- ECO-MANAGEMENT AND AUDIT SCHEME (text) -- 14 The Rio Declaration on Environment and Development -- RIO DECLARATION ON ENVIRONMENT AND DEVELOPMENT (text) -- Part VI: Combating corruption -- 15 The OECD Convention on Combating Bribery of Foreign Public Officials in International Business Transactions -- CONVENTION ON COMBATING BRIBERY OF FOREIGN PUBLIC OFFICIALS IN INTERNATIONAL BUSINESS TRANSACTIONS (text) -- 16 The Extractive Industries Transparency Initiative -- THE EXTRACTIVE INDUSTRIES TRANSPARENCY INITIATIVE (text) -- 17 The Business Principles for Countering Bribery -- THE BUSINESS PRINCIPLES FOR COUNTERING BRIBERY (text) -- Part VII: Corporate governance -- THE KING CODE ON CORPORATE GOVERNANCE FOR SOUTH AFRICA (text) -- 18 The OECD Principles of Corporate Governance -- OECD PRINCIPLES OF CORPORATE GOVERNANCE (text) -- Part VIII: Company codes of conduct -- 19 Shell's General Business Principles -- SHELL GENERAL BUSINESS PRINCIPLES (text) -- 20 Johnson & Johnson's 'Credo' -- OUR CREDO (text) -- Part IX: Framework and sectoral agreements -- 21 Framework agreements -- Case study: Global Agreement between the ICEM and Statoil -- AGREEMENT BETWEEN INDUSTRI ENERGI/INDUSTRIALL GLOBAL UNION AND STATOIL (text) -- 22 Sectoral agreements -- Sectoral agreements: case studies -- The International Cocoa Initiative: Working towards Responsible Labour Standards for Cocoa Growing -- Responsible Care® -- MSC Fishery Standard: Principles and Criteria for Sustainable Fishing -- Forest Stewardship Council. RESPONSIBLE CARE® GLOBAL CHARTER (text) -- 23 The Equator Principles -- THE 'EQUATOR PRINCIPLES' (text) -- 24 The Principles for Responsible Investment -- THE PRINCIPLES FOR RESPONSIBLE INVESTMENT (text) -- Part X: Gender -- 25 The Gender Equality Principles -- THE SAN FRANCISCO GENDER EQUALITY PRINCIPLES INITIATIVE (text) -- WOMEN'S EMPOWERMENT PRINCIPLES (text) -- Part XI: Implementation -- 26 AccountAbility 1000 Series: AA1000 AccountAbility Principles Standard 2008 -- AA1000 ACCOUNTABILITY PRINCIPLES STANDARD 2008 (selected text) -- 27 AccountAbility 1000 Assurance Standard -- AA1000 ASSURANCE STANDARD (selected text) -- 28 The Global Reporting Initiative -- G4 SUSTAINABILITY REPORTING GUIDELINES (selected text) -- 29 ISO 14001 -- ISO 14001:1996 (selected text) -- Part XII: Visions for the future -- 30 An emerging consensus -- ISEAL CREDIBILITY PRINCIPLES (text). https://cds.cern.ch/auth.py?r=EBLIB_P_5042335 ebook ebook EBL201902 Information Transfer and Management SzGeCERN BOOK n 201908 201902 21 PUBLIC BOOK DELETED 2662995 SzGeCERN 20210421203103.0 9783319669298 electronic version electronic version 9783319669298 print version 9783319669304 electronic version electronic version oai:cds.cern.ch:2662995 cerncds:BOOK EBL 5041560 eng HD28-70HD59-HD59.6HD 658.45 Mayfield, Jacqueline Motivating language theory effective leader talk in the workplace Cham Palgrave Macmillan 2017 167 p ebook Intro -- Acknowledgements -- Contents -- List of Figures -- List of Tables -- Chapter 1 Introduction -- Abstract -- References -- Chapter 2 A Few Words to Get Us Started -- Abstract -- Overview -- Why Motivating Language Was Created and How It Is Defined -- Meaning-Making Language -- Empathetic Language -- Direction-Giving Language -- Research Findings: What We Do and Do not Know -- References -- Chapter 3 Fitting into the Big Picture: Meaning-Making Language -- Abstract -- Overview -- Spirit in the Workplace -- What is Meaning at Work? -- Why is Meaning at Work Important? -- Categorical and Progressive Forms of Meaning-Making Language -- References -- Chapter 4 Speaking from the Heart: Empathetic Language -- Abstract -- Overview -- Bringing Emotions to Work -- What Is Empathy? -- Why Is Empathy at Work Important? -- Categorical and Progressive Forms of Empathetic Language -- References -- Chapter 5 Clarity Is Key: Direction-Giving Language -- Abstract -- Overview -- Drawing the Map -- What Is Direction-Giving Language? -- Why Does Direction-Giving Language Matter? -- Progressive and Categorical Forms of Direction-Giving Language -- References -- Chapter 6 Motivating Language Coordination -- Abstract -- Overview -- Putting the Pieces Together -- Meaning-Making Language -- Empathetic Language -- Direction-Giving Language -- Other Considerations in Motivating Language Coordination -- References -- Chapter 7 Motivating Language and Workplace Outcomes -- Abstract -- Overview -- A Brief Look at What We Know -- Outcomes that Benefit Organizations -- Performance -- Leader Communication Competence, Perceived -- Leader Effectiveness, Perceived -- Job Creativity and Innovation -- Organizational Commitment -- Absenteeism -- Intent-to-Stay -- Other Outcome Constructs that Benefit the Organization -- Outcomes that Benefit Followers -- Job Satisfaction. Communication Satisfaction with Supervisor -- Other Outcome Constructs that Benefit a Follower -- Causal Support and Antecedents -- Conclusion -- References -- Chapter 8 Strategic Motivating Language -- Abstract -- Overview -- Motivating Language at Organizational and Group Levels -- Leader Translation of Environmental Cues to Guide Strategic Motivating Language Use -- Organizational-Level Strategic Motivating Language Use: Internal -- Strategic Motivating Language Use-Linking Pin and Contagion Aspects -- Organizational Strategic ML Use: External -- Strategic ML Use and Teams -- References -- Chapter 9 Measurement and Generalizability -- Abstract -- Overview -- Making Leader Communication Solid -- Measurement -- Generalizability -- Motivating Language Scale-Original -- Motivating Language Scale -- Motivating Language Scale-Revised -- Motivating Language -- References -- Chapter 10 Future Directions -- Abstract -- Overview -- How Motivating Language Motivates -- Motivating Language, Time, and Feedback -- Motivating Language: Beyond Dyads, Leaders, and Oral Communication -- Motivating Language's Role in Ethical Organizations -- Conclusion -- References -- Chapter 11 Hands, Heart, and Spirit -- Abstract -- Overview -- Hands, Heart, and Spirit: Progress and Potential -- Boundaries and Complementary Settings -- Training and Development in Motivating Language -- Closing Thoughts -- References -- Index. EBL201902 Information Transfer and Management SzGeCERN BOOK Mayfield, Milton https://cds.cern.ch/auth.py?r=EBLIB_P_5041560 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2662995 BOOK MIGRATED 2662988 SzGeCERN 20210421203104.0 9783736983427 electronic version electronic version 9783736993426 electronic version electronic version 9783736993426 print version oai:cds.cern.ch:2662988 cerncds:BOOK EBL 5023068 eng HD60 658.40800000000002 Nuß, Christian Integrating selected concepts and methods to enhance corporate sustainability Göttingen Cuvillier Verlag 2016 257 p ebook Intro -- List of Scientific Contributions -- Table of Contents -- 1. Introduction -- 2. Transdisciplinary Research in Sustainable Operations - An Application to Closed-LoopSupply Chains -- 3. On the Attractiveness of Product Recovery: The Forces that Shape Reverse Markets -- 4. The Reverse Supply Chain Planning Matrix: A Classification Scheme for Planning Problems in Reverse Logistics -- 5. Analysis of European Closed-loop Supply Chain Network for WEEE - An OEM Perspective -- 6. Eine quantitative Analyse europäischer Richtlinien und Verordnungen zur Abfall- und Kreislaufwirtschaft am Beispiel der Elektro- und Elektronikindustrie -- 7. How Transdisciplinarity Can Help to Improve Operations Research on Sustainable Supply Chains - A Transdisciplinary Modeling Framework -- 8. Developing an Environmental Management Information System to Foster Sustainable Decision-Making in the Energy Sector -- 9. Conclusion and Research Outlook -- General References. EBL201902 Information Transfer and Management SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5023068 ebook n 201908 201902 21 PUBLIC https://catalogue.library.cern/legacy/2662988 BOOK MIGRATED 2669350 SzGeCERN 20190329214857.0 oai:inspirehep.net:1726655 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d 2019-03-29T05:00:09Z marcxml oai:inspirehep.net:1726655 2019-03-28T16:23:58Z Inspire 1726655 eng Kimura, R Toshiba, Kawasaki Demand for TRU nuclide cross-sections from the view point of TRU production and radiotoxicity Geneva CERN 2019 12 p Grobid The environmental load reduction of nuclear energy is required in Japan, from the view point of public acceptance. Here, the long-term radiotoxicity of radioactive wastes is dominated by trans-uranium (TRU) nuclides. We evaluated the effects of differences between the nuclear data libraries of heavy-metal- nuclide cross-section on the radiotoxicity of LWR spent fuels. In this study, the MVP-BURN code and the JENDL-4.0u nuclear data library were used as a burn-up calculation code and a reference nuclear data library, moreover, only a heavy metal cross section of interest was replaced to JEFF-3.2 or ENDF/B-VII.1 to evaluate the effect of difference between libraries for each nuclides. The calculation results revealed that the productions of Pu-238, Am-241 and Cm-244 with JEFF-3.2 were 8% larger than those with JENDL-4.0u and ENDF/B-VII.1. The thermal energy capture reaction of Pu-238 and 1.356eV resonance capture reaction of Am-243 have a large impact on the radiotoxicity of Pu-238 and Cm-244, consequently, these cross sections should be improved. SzGeCERN Nuclear Physics - Experiment CERN Yoshioka, K Toshiba, Kawasaki Hiraiwa, K Toshiba, Kawasaki Sakurai, S Toshiba, Kawasaki Wada, S Toshiba, Kawasaki Sugita, T Toshiba, Kawasaki 1725248 239-250 C18-06-11.10 2019 9789290835202 CERN Proc. 1 1472438 1844162 http://cds.cern.ch/record/2669350/files/1725248_239-250.pdf Fulltext 13 2669285 varenna20180611 239-250 ARTICLE ConferencePaper 0-0-1-2-0-0-0 2019-03-26 10:47:27 Invenio/1.1.2.1260-aa76f refextract/1.5.44 content.pdf;1 K. Nakahara JAEA-Data/Code-012 1 2010 K. Hiraiwa et al. Study on Minimization of LWR Spent Nuclear Fuel 1) Outline of the Studies,Fall meeting of AESJ 2 2015 S. Sakurai et al. Study on Minimization of LWR Spent Nuclear Fuel 2) Optimization for combination of Higher Moderation and Higher Burnup,Fall meeting of AESJ 3 2015 R. Kimura et al. Study on Minimization of LWR Spent Nuclear Fuel 3) Low Solf-shielding Fuel and the Nuclear Characteristics of the fuel,Fall meeting of AESJ 4 2015 K. Shibata, et al. 5 J.Sci.Tech.,48,1-30 2011 M. B. Chadwick, et al. Nuclear Data Sheet, 112(12), 2887-2996 6 2011 The JEFF team 7 http://www.oecd-nea.org/dbdata/jeff 2014 K. Okumura, et al. 8 J.Sci.Tech.,37,128-138 2000 1662578 D. A. Brown, et al. 9 Nucl.Data Sheets,148,1-142 2018 The JEFF team 10 http://www.oecd-nea.org/dbdata/jeff/jeff33 2017 A. J. Koning, et al. TENDL-(2016) 11 2015 O. D. Shimpson, et al. Nucl 12 Sci.Technol.,55,273 1974 J. R. Berreth and F. B. Simpson Idaho Nuclear Corp. Reports, 1407, 66 13 1970 Y. Nakahara, K. Suyama and T. Suzaki JAERI- 14 Technol.,2000,071 2000 J. Butler, et al. 15 Can.J.Chem.,34,253 1956 A. Chyzh, et al. Physical Review Part C 16 Nucl.Phys.,88,044607 2013 A. Letourneau, et al. Workshop Nucl.Data Meas., Theo.&Appl.;, Budapest,, page 81 17 2009 S. F. Mughabghab Atlas of Neutron Resonance 18 2006 E. Mendoza, et al. Physical Review Part C 19 Nucl.Phys.,90,034608 2014 2669262 SzGeCERN 20210421202651.0 1498773214 print version, paperback 9780429608827 electronic version electronic version 9781498773218 print version, paperback oai:cds.cern.ch:2669262 cerncds:BOOK EBL 5735490 eng 004.93 Maharaj, Elizabeth Ann Time series clustering and classification Boca Raton, FL Productivity Press 2019 228 p paper ebook Chapman & Hall/CRC computer science and data analysis series Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Authors -- 1. Introduction -- 1.1 Overview -- 1.2 Examples -- 1.3 Structure of the book -- 2. Time series features and models -- 2.1 Introduction -- 2.2 Stochastic processes -- 2.3 Autocorrelation and partial autocorrelation functions -- 2.4 Time series models -- 2.4.1 Stationary models -- 2.4.2 Non-stationary models -- 2.4.3 Some other models -- 2.5 Spectral representation of time series -- 2.5.1 Periodogram -- 2.5.2 Smoothed periodogram -- 2.6 Wavelet representation of time series -- 2.6.1 Discrete wavelet transform (DWT) -- 2.6.2 Modified discrete wavelet transform (MODWT) -- 2.6.3 Wavelet variance -- 2.6.4 Wavelet correlation -- 2.7 Conclusion -- Part I: Unsupervised Approaches: Clustering Techniques for Time Series -- 3. Traditional cluster analysis -- 3.1 Introduction -- 3.2 Distance measures -- 3.3 Hierarchical clustering -- 3.4 Non-hierarchical clustering (partitioning clustering) -- 3.4.1 c-Means clustering method -- 3.4.2 c-Medoids clustering method -- 3.5 Some cluster validity criteria -- 3.5.1 Calinski and Harabasz criterion -- 3.5.2 Silhouette criterion -- 4. Fuzzy clustering -- 4.1 Introduction -- 4.2 Fuzzy c-Means (FcM) clustering -- 4.3 Cluster validity criteria -- 4.3.1 Criteria based on partition coeffcient and partition entropy -- 4.3.2 The Xie-Beni criterion -- 4.3.3 The Silhouette criterion -- 4.4 Fuzzy c-Medoids (FcMd) clustering -- 4.5 Fuzzy clustering with entropy regularization -- 4.6 Robust fuzzy clustering -- 4.6.1 Fuzzy clustering with noise cluster -- 4.6.2 Fuzzy clustering with exponential distance -- 4.6.3 Trimmed fuzzy clustering -- 5. Observation-based clustering -- 5.1 Introduction -- 5.2 Observation-based distance measures -- 5.2.1 Dynamic time warping -- 5.3 Clustering methods. 6. Feature-based clustering -- 6.1 Introduction -- 6.2 Time domain features - Autocorrelations and partial autocorrelations -- 6.2.1 Crisp clustering methods -- 6.2.2 Fuzzy clustering methods -- 6.3 Time domain features - Quantile autocovariances -- 6.3.1 QAF-based fuzzy c-medoids clustering model (QAF- FcMdC model) -- 6.4 Time domain features - Variance ratios -- 6.4.1 Variance ratio tests -- 6.4.2 Variance ratio-based metric -- 6.5 Other time domain clustering methods -- 6.6 Frequency domain features - Spectral ordinates -- 6.6.1 Crisp clustering methods -- 6.6.2 Fuzzy clustering methods -- 6.7 Frequency domain clustering methods for time series of unequal lengths -- 6.7.1 Hypothesis testing -- 6.7.2 Comparison of processes with similar sample characteristics with simulated time series -- 6.7.3 Clustering ARMA and ARIMA processes with simulated time series of unequal lengths -- 6.8 Other frequency domain clustering methods -- 6.9 Wavelet-based features -- 6.10 Other feature-based applications -- 6.10.1 Comparison between trend-stationary and differencestationary processes -- 6.10.2 Comparison of processes with different characteristics of persistence -- 7. Model-based clustering -- 7.1 Introduction -- 7.2 Autoregressive expansions -- 7.2.1 AR(∞) and MA(∞) coeffcients-based distances -- 7.2.2 AR coefficients-based distance -- 7.2.3 ARMA(p,q) coefficents-based distance -- 7.3 Fitted residuals -- 7.4 Forecast densities -- 7.4.1 Clustering based on forecast densities -- 7.4.2 Clustering based on the polarization of forecast densities -- 7.5 ARMA mixture models -- 7.6 Generalized autoregressive conditional heteroskedasticity (GARCH) models -- 7.6.1 Unconditional, Minimum and Time-varying Volatilities -- 7.6.2 A GARCH-based metric for time series clustering -- 7.6.3 A combined distance measure for heteroskedastic time series. 7.6.4 GARCH-based Fuzzy c-Medoids Clustering model (GARCH-FcMdC) -- 7.6.5 GARCH-based Exponential Fuzzy c-Medoids Clustering model (GARCH-E-FcMdC) -- 7.6.6 GARCH-based Fuzzy c-Medoids Clustering with Noise Cluster model (GARCH-NC-FcMdC) -- 7.6.7 GARCH-based Trimmed Fuzzy c-Medoids Clustering model (GARCH-Tr-FcMdC) -- 7.7 Generalized extreme value distributions -- 7.8 Other model-based approaches -- 8. Other time series clustering approaches -- 8.1 Introduction -- 8.2 Hidden Markov Models -- 8.3 Support vector clustering -- 8.4 Self-Organising Maps -- 8.4.1 Wavelet-based Self-Organizing Map (W-SOM) -- 8.5 Other data mining algorithms -- Part II: Supervised Approaches: Classification Techniques for Time Series -- 9. Feature-based approaches -- 9.1 Introduction -- 9.2 Discriminant Analysis -- 9.3 Frequency domain approaches -- 9.4 Wavelet feature approaches -- 9.4.1 Classification using wavelet variances -- 9.4.2 Classification using wavelet variances and correlations -- 9.4.3 Classification using evolutionary wavelet spectra -- 9.5 Time-domain approaches -- 9.5.1 Classification using shapes -- 9.5.2 Classification using complex demodulation -- 10. Other time series classification approaches -- 10.1 Introduction -- 10.2 Classification trees -- 10.3 Gaussian mixture models -- 10.4 Bayesian approach -- 10.5 Nearest neighbours methods -- 10.6 Support vector machines -- Part III: Software and Data Sets -- 11. Software and data sets -- 11.1 Introduction -- 11.2 Chapter 5 Application -- 11.2.1 Application 5.1 -- 11.3 Chapter 6 Applications -- 11.3.1 Application 6.1 -- 11.3.2 Application 6.2 -- 11.3.3 Application 6.3 -- 11.3.4 Application 6.4 -- 11.3.5 Application 6.5 -- 11.3.6 Application 6.6 -- 11.3.7 Application 6.7 -- 11.3.8 Application 6.8 -- 11.4 Chapter 7 Applications -- 11.4.1 Application 7.1 -- 11.4.2 Application 7.2 -- 11.4.3 Application 7.3. 11.5 Chapter 8 Application -- 11.5.1 Application 8.1 -- 11.6 Chapter 9 Applications -- 11.6.1 Application 9.1 -- 11.6.2 Application 9.2 -- 11.6.3 Application 9.3 -- 11.7 Software packages -- Bibliography -- Subject Index. The beginning of the age of artificial intelligence and machine learning has created new challenges and opportunities for data analysts, statisticians, mathematicians, econometricians, computer scientists and many others. At the root of these techniques are algorithms and methods for clustering and classifying different types of large datasets, including time series data. Time Series Clustering and Classification includes relevant developments on observation-based, feature-based and model-based traditional and fuzzy clustering methods, feature-based and model-based classification methods, and machine learning methods. It presents a broad and self-contained overview of techniques for both researchers and students. Features Provides an overview of the methods and applications of pattern recognition of time series Covers a wide range of techniques, including unsupervised and supervised approaches Includes a range of real examples from medicine, finance, environmental science, and more R and MATLAB code, and relevant data sets are available on a supplementary website EBL201905 SzGeCERN Computing and Computers BOOK D'Urso, Pierpaolo Caiado, Jorge CERN Central Library 004.93 MAH https://cds.cern.ch/auth.py?r=EBLIB_P_5735490 ebook 201905 h 201911 21 https://catalogue.library.cern/legacy/2669262 BOOK MIGRATED 2669239 SzGeCERN 20210421202652.0 0815355564 print version, paperback 9780815355564 print version, paperback oai:cds.cern.ch:2669239 cerncds:BOOK eng 165 Lie, Svein Anders Noer Philosophy of nature rethinking naturalness Abingdon Routledge 2016 220 p paper Routledge explorations in environmental studies The concept of naturalness has largely disappeared from the academic discourse in general but also the particular field of environmental studies. This book is about naturalness in general – about why the idea of naturalness has been abandoned in modern academic discourse, why it is important to explicitly re-establish some meaning for the concept and what that meaning ought to be. Arguing that naturalness can and should be understood in light of a dispositional ontology, the book offers a point of view where the gap between instrumental and ethical perspectives can be bridged. Reaching a new foundation for the concept of ‘naturalness’ and its viability will help raise and inform further discussions within environmental philosophy and issues occurring in the crossroads between science, technology and society. This topical book will be of great interest to researchers and students in Environmental Studies, Environmental Philosophy, Science and Technology Studies, Conservation Studies as well as all those generally engaged in debates about the place of ‘man in nature’. SzGeCERN Science in General BOOK CERN Central Library 165 LIE 201904 h 201911 21 https://catalogue.library.cern/legacy/2669239 BOOK MIGRATED 2668029 SzGeCERN 20210421202658.0 9781773616261 electronic version electronic version oai:cds.cern.ch:2668029 cerncds:BOOK EBL 5655557 eng QA76.58 .P373 2019 004.35 Gacovski, Zoran Parallel and distributed computing applications Ashland Arcler Press 2019 348 p ebook Cover -- Half Title Page -- Title Page -- Copyright Page -- Declaration -- About the Editor -- Table of Contents -- List of Contributors -- List of Abbreviations -- Preface -- SECTION I PARALLEL COMPUTING MODELS AND ALGORITHMS -- Chapter 1 A Parallel Algorithm for Global Optimization Problems in a Distributed Computing Environment -- Abstract -- Introduction -- Preliminaries -- The Parallel Algorithm -- Numerical Results -- Conclusion -- Appendix -- References -- Chapter 2 Parallel Programming Design of BPSK Signal Demodulation Based on CUDA -- Abstract -- Introduction -- BPSK Signal Demodulation Algorithm -- The Parallel Computing Model Based on CUDA -- BPSK Signal Demodulation Parallel Programming -- Conclusion -- References -- Chapter 3 Efficient Parallel Implementation of Active Appearance Model Fitting Algorithm on GPU -- Abstract -- Introduction -- Active Appearance Model -- GPU Architecture And CUDA Model -- Design Of Parallel AAM Fitting Algorithm For GPUs -- Experiments And Results -- Conclusion -- Acknowledgments -- References -- SECTION II DISTRIBUTED COMPUTING SYSTEMS -- Chapter 4 Scheduling of Divisible Loads on Heterogeneous Distributed Systems -- Introduction -- The System Model -- Analysis of Optimal Solution -- Analysis of Two-Slave System -- The Sport Algorithm -- Conclusion -- References -- Chapter 5 Fault Tolerance Mechanisms in Distributed Systems -- Abstract -- Introduction -- Distributed System -- Distributed System Architecture -- Fault Tolerance Systems -- Basic Concept of Fault Tolerance Systems -- Fault Tolerance Mechanism In Distributed Systems -- Conclusion -- References -- Chapter 6 Parallel and Distributed Immersive Real-Time Simulation of Large-Scale Networks -- Introduction -- Background -- Real-Time Network Simulation -- Supporting Real-Time Performance -- Applications And Case Studies. Conclusions And Future Work -- References -- SECTION III SOFTWARE IN PARALLEL AND DISTRIBUTED SYSTEMS -- Chapter 7 Distributed Software Development Tools For Distributed Scientific Applications -- Abstract -- Introduction -- The Platform For Research Collaborative Computing -- Prototyping Optimal Design Platform For Engineering -- Related Work -- Conclusions -- References -- Chapter 8 A Performance-Driven Approach For Restructuring Distributed Object-Oriented Software -- Abstract -- Introduction -- Problem Definition -- Distributed Object-Oriented Performance Model -- Restructuring Scheme -- Simulation and Results -- Conclusions -- References -- Chapter 9 Analysis and Design of Distributed Pair Programming System -- Abstract -- Introduction -- Related Work -- Analysis And Interaction In DPP System -- Requirements Of DPP System -- Design Of DPP System -- Conclusions -- References -- SECTION IV APPLICATIONS OF DISTRIBUTED COMPUTING -- Chapter 10 A Distributed Computing Architecture For The Large-Scale Integration Of Renewable Energy and Distributed Resources In Smart Grids -- Abstract -- Introduction -- High-Voltage Power Grid Optimization Models -- An Asynchronous Distributed Algorithm For Stochastic Unit Commitment -- Scalable Control For Distributed Energy Resources -- Conclusions -- Acknowledgements -- Nomenclature -- References -- Chapter 11 Assigning Real-Time Tasks In Environmentally Powered Distributed Systems -- Abstract -- Introduction -- Related Works -- Preliminaries -- ACO Solution -- Performance Results -- Summary And Future Works -- References -- Chapter 12 Cloud/Fog Computing System Architecture And Key Technologies For South-North Water Transfer Project Safety -- Abstract -- Background -- Application Of Cloud Computing In Water Conservancy Industry -- Characteristics Of Fog Computing Architecture. Safety System Architecture For The SNWTP -- Key Technologies -- Conclusions -- Acknowledgments -- References -- Chapter 13 Agent-Based Synthesis of Distributed Controllers For Discrete Manufacturing Systems -- Abstract -- Introduction -- Controller Modelling -- Distributed Software Design -- Conclusions -- References -- Index. EBL201903 XX SzGeCERN EBL Electronic data processing-Distributed processing BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5655557 ebook n 201911 201903 21 PUBLIC https://catalogue.library.cern/legacy/2668029 BOOK MIGRATED 2668004 SzGeCERN 20210421202702.0 9781773616001 electronic version electronic version oai:cds.cern.ch:2668004 cerncds:BOOK EBL 5655512 eng QC23 .E585 2019 530 Bolivar, Nelson Environmental physics Ashland Arcler Press 2019 244 p ebook Cover -- Half Title Page -- Title Page -- Copyright Page -- About the Editor -- How to Use the Book -- Table of Contents -- List of Figures -- List of Tables -- List of Abbreviations -- Preface -- Synopsis -- Introduction -- Chapter 1 The Concept and Scope of Environmental Science -- Chapter 2 Properties of Matter (Solid, Liquid, and Gas) -- 2.1 The Definitions of Matter -- 2.2 Phases -- 2.3 Different Phases of Matter -- 2.4 Newtonian and Non-Newtonian Fluids -- 2.5 Gas -- Chapter 3 Transport of Radiant Energy, Heat, Momentum, and Mass -- 3.1 Radiative Transfer -- 3.2 Modeling Approaches -- Chapter 4 Mass Transfers: Gas-Vapor and Particles -- 4.1 Mass And Heat Transfer to the Atmospheric Particles -- Chapter 5 Momentum Transfer -- 5.1 The Concept of Momentum -- Chapter 6 Heat Transfer -- 6.1 Thermodynamics -- Chapter 7 Radiations in Environment -- Chapter 8 Balance of Heat in Steady State in Water Surfaces, Soil and Plants and Animals -- 8.1 The Equation of Heat Balance -- 8.2 The Balance of Heat In Thermometers -- Chapter 9 Microclimatology of Radiation -- 9.1 Reaction of Water Against Radiation -- 9.2 Reaction of Soil, Glass, and Metal Against Radiation -- 9.3 Leaves -- 9.4 Collective Vegetation -- 9.5 Effects Over Animals -- 9.6 Geometric Principles of Radiation -- 9.7 Reaction of The Plant Canopy or Vegetation Against Radiation -- Chapter 10 Micrometeorology -- 10.1 Atmospheric Scale -- 10.2 Turbulence Transfer -- 10.3 Flux Gradient Method -- 10.4 Fluxes of Heat, Water Vapor and Mass -- 10.5 Indirect Measurement of Flux -- 10.6 The Transfer of Turbulence In The Canopies -- References -- Index. EBL201903 Physics in general SzGeCERN EBL Atmospheric physics EBL Environmental sciences BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5655512 ebook n 201911 201903 21 PUBLIC https://catalogue.library.cern/legacy/2668004 BOOK MIGRATED 2667998 SzGeCERN 20210421202703.0 9781773615905 electronic version electronic version oai:cds.cern.ch:2667998 cerncds:BOOK EBL 5655499 eng TJ265 .H694 2019 536.7 Hoxha, Dritan Thermo and fluid dynamics recent advances Ashland Arcler Press 2019 354 p ebook Cover -- Half Title Page -- Title Page -- Copyright Page -- About the Author -- Table of Contents -- List of Figures -- List of Tables -- List of Abbreviations -- Preface -- Introduction -- Chapter 1 A General View on Thermodynamics -- 1.1. What Is Thermodynamics? -- 1.2. Etymology of Thermodynamics -- 1.3. Why is Thermodynamics Important? -- 1.4. A Short View of The Quantities Involved in Thermodynamics -- 1.5. A Short View of the Theories and Laws Contained in Thermodynamics -- References -- Chapter 2 Pioneers in Thermodynamics -- 2.1. Famous Scientists Who Contributed in the Field of Thermodynamics -- 2.2. Famous Quotes About Thermodynamics -- References -- Chapter 3 Theory of Thermodynamics -- 3.1. The Goals of Thermodynamics -- 3.2. The Universe and its Components -- 3.3. Equilibrium -- 3.4. Thermodynamic Variables -- 3.5. Zeroth Law of Thermodynamics -- 3.6. Temperature -- 3.7. Scales of Temperature -- 3.8. Thermal Expansion -- 3.9. Molecular Interpretation of Temperature -- 3.10. Ideal Gas -- 3.11. Gas Laws -- 3.12. Boyle-Mariotte Law -- 3.13. Charles's Law -- 3.14. Gay - Lussac Law -- 3.15. Ideal Gas Law -- 3.16. Expressing The Ideal Gas Law In Terms of Number of Molecules -- 3.17. Molecular Concentration -- 3.18. Heat -- 3.19. Heat (Q) And Temperature (T) -- 3.20. Internal Energy (U) -- 3.21. Internal Energy Of Gases -- 3.22. Internal Energy Of Solids And Liquids -- 3.23. Mechanical Equivalent of Heat -- 3.24. Specific Heat (C) And Heat Capacity (C) -- 3.25. Heat - Mechanical Energy Conversion -- 3.26. Calorimetry -- 3.27. Phase Change -- 3.28. Heat Of Combustion (Q) -- 3.29. Heat Transfer -- References -- Chapter 4 Laws of Thermodynamics -- 4.1. Definitions -- 4.2. Internal Energy of A Gas -- 4.3. Giving Energy to A System -- 4.4. First Law of Thermodynamics -- 4.5. Work in Thermodynamic Process. 4.6. State Variables and Path Dependent Variables -- 4.7. Thermal Processes -- 4.8. Work in a Cyclic Process -- 4.9. Heat Engines -- 4.10. Need For A Second Law: Reversible And Irreversible Processes -- 4.11. Second Law of Thermodynamics -- 4.12. The Carnot Engine -- 4.13. Entropy -- References -- Chapter 5 Kinetic Theory of Gases -- 5.1. Root Mean Square Value -- 5.2. Pressure of Ideal Gas -- 5.3. Temperature - Molecular KE Relation -- 5.4. Root - Mean - Square Velocity -- 5.5. Internal Energy of Gases -- 5.6. Internal Energy of Monatomic Gases -- 5.7. Molar Specific Heat For Monatomic Gases -- References -- Chapter 6 Properties of Vapor, Liquid, and Solid Objects -- 6.1. The Relationship Between Vapor, Liquid, and Solid Object -- 6.2. Evaporation and Condensation, Saturated, and Unsaturated Vapor -- 6.3. Saturated Vapor -- 6.4. Unsaturated Vapor -- 6.5. The Relationship Between Vapor Pressure and Density: Critical Temperature -- 6.6. Boiling of Liquid: Dependence of Boiling Temperature on Pressure -- References -- Chapter 7 Humidity of Air -- 7.1. Water and Life Around Us -- 7.2. Humidity in Liquid and Solid Objects -- 7.3. Surface Tension of Liquids -- 7.4. Adhesive and Cohesive Forces -- 7.5. Energy Considerations -- 7.6. Crystalline and Amorphous Objects: Properties of Solid Objects -- 7.7. Specific Heat of Melting and Crystallization -- 7.8. Heat and Phase Transition -- 7.9. Molecular Explanation of This Process -- References -- Chapter 8 The Most Important Applications Related To Thermodynamics -- 8.1. Applications of Thermodynamics -- 8.2. Fuels, Heat, and Heat Changes -- 8.3. Heat and Heat Changes -- 8.4. Steam Engine -- 8.5. Steam Turbines -- 8.6. Gasoline Engine -- 8.7. Changing Electric Energy Into Heat Energy -- 8.8. Refrigerators and Air Conditioners -- 8.9. Other Applications of Thermodynamics in Daily Life. 8.10. Applications of 1st Law of Thermodynamics -- 8.11. Other Applications of 1st Law -- 8.12. Applications of 2nd Law of Thermodynamics in Daily Life -- 8.13. Applications of 3rd Law To Thermodynamics -- 8.14. Applications of Thermodynamics in Mechatronics -- 8.15. Applications of Thermodynamics in Civil Engineering -- 8.16. Is Quasi-Static Process Thermodynamics Applicable to All Thermodynamic Systems? -- References -- Chapter 9 Recent Advances in Thermodynamics -- 9.1. Increasing the Efficiency of Actual Devices Using The Principles of Thermodynamics -- 9.2. Lowering the Costs of Actual Devices Using the Principles of Thermodynamics -- 9.3. Environmental Friendly Thermodynamic Applications -- 9.4. Constricting New Devices Using Innovative Technologies In Thermodynamics -- 9.5. Finding New Sources of Energy Using the Principles of Thermodynamics -- References -- Chapter 10 Fluid Dynamics -- 10.1. Structure of Matter -- 10.2. Mole Concept and Avogadro's Number -- 10.3. Molecular Nature of Matter -- 10.4. Nature of Intermolecular Forces -- 10.5. States of Matter -- 10.6. Distribution of Molecular Speeds -- 10.7. Fluid Mechanics -- 10.8. Density -- 10.9. Pressure -- 10.10. Liquid Pressure -- 10.11. Pressure Force -- 10.12. Pressure Measurements -- 10.13. Mercury Barometer -- 10.14. Buoyancy and Archimedes' Principle -- 10.15. Fluid Mechanics II -- 10.16. Bernoulli's Equation -- 10.17. Circulation and Vorticity: What is Their Difference? -- 10.18. Upstream and Downstream -- References -- Chapter 11 Applications of Fluid Dynamics in Daily Life -- 11.1. What Are Some Interesting Examples of Applications of Fluid Dynamics in Everyday Life? -- 11.2. Fluids as Coolants -- 11.3. In Aerodynamics and Flow Analysis -- 11.4. For Design and Analysis of Renewable and Non-Renewable Energy Systems -- 11.5. Process Engineering, Refrigeration, and HVAC Systems. 11.6. Medical Applications -- 11.7. Weather Forecasting and Disaster Management -- 11.8. Non-Newtonian Fluid -- 11.9. Coanda Effect -- 11.10. Magnus Effect -- 11.11. Cavitation -- 11.12. The Ekman Pumping Rotating Table Experiment -- 11.13. Other Applications of Fluid Dynamics -- 11.14. Subsonic and Supersonic Fluid Dynamics -- References -- Chapter 12 Recent Advances In Fluid Dynamics -- 12.1. Why is Water Bad as a Hydraulic Fluid, and What are the Substitutes that can be Sourced Locally? -- 12.2. Can We Use Water as a Fuel? -- 12.3. Innovative Fan Heater -- 12.4. Innovative Water Zipper -- 12.5. A Display Mechanism That Illustrates the Dynamics of a Fluid -- 12.6. Invention: Heart-Repair Pump -- 12.7. Invention of New Ratchet Pump -- 12.8. Applications of Fluid Mechanics in Medicine -- 12.9. Smart Fluid and its Applications in Industry and Medicine -- 12.10. Other Applications of Fluid Mechanics in Medicine -- 12.11. New Applications of Fluid Dynamics in Biomedical Sciences -- References -- Chapter 13 Computational Fluid Dynamics -- 13.1. What is CFD (Computational Fluid Dynamics)? -- 13.2. History of Computational Fluid Dynamics -- 13.3. Governing Equations -- 13.4. Basics of Computational Fluid Dynamics -- 13.5. Importance of Computational Fluid Dynamics -- 13.6. Application of Computational Fluid Dynamics -- 13.7. Physics of Fluids -- 13.8. Navier-Stokes Equations -- 13.9. General Form of Navier-Stokes Equation [1] -- 13.10. Finite Volume Method -- 13.11. The Approach Of Finite Volume Method [1] -- 13.12. Conservation of Finite Volume Method -- 13.13. Grids -- 13.14. Boundary Conditions -- 13.15. What Are The State-of-The-Art Simulation Codes in Computational Fluid Dynamics? -- 13.16. What are Some of the Best Resources for Teaching Computational Fluid Dynamics (CFD)? -- 13.17. Fluid Dynamics Simulators -- References -- Additional References. Index. EBL201903 XX SzGeCERN EBL Fluid dynamics BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5655499 ebook n 201911 201903 21 PUBLIC https://catalogue.library.cern/legacy/2667998 BOOK MIGRATED 2667988 SzGeCERN 20210421202704.0 9781773615776 electronic version electronic version oai:cds.cern.ch:2667988 cerncds:BOOK EBL 5655484 eng TA1520 .A383 2019 621.36 Bolivar, Nelson Advanced research in photonics Ashland Arcler Press 2019 265 p ebook Cover -- Half Title Page -- Title Page -- Copyright Page -- About the Editor -- Table of Contents -- List of Figures -- List of Tables -- Preface -- Chapter 1 Introduction to Photonics and Optics -- 1.1. Introduction -- 1.2. Significance -- 1.3. Plasmonics and Nanophotonics -- 1.4. Coherent Electromagnetic Fields -- 1.5. Optomechanical Interactions -- 1.6. Seeing Beyond the Diffraction Limits -- 1.7. Creation and Control of Quantum Coherence With Light -- 1.8. Control of Molecules With Light and Vice-Versa -- 1.9 Applications of Photonics and Optics in Astrophysics and Astronomy -- Chapter 2 Microwave Photonics -- 2.1. Introduction -- 2.2. What is Microwave Photonics? -- 2.3. Why Use Microwave Photonics? -- 2.4. Anatomy of a Basic Microwave Photonic System -- 2.5. Device Technology -- Chapter 3 Environmental and Medical Applications of Photonic Interactions -- 3.1. Introduction -- 3.2. Environmental Monitoring Using Photonic Interaction -- 3.3. Medical Applications Using Photonic Interaction -- Chapter 4 Semiconducting Nanostructures Based Photonic Switching Devices -- 4.1. Introduction -- 4.2. Benefits and Integration of Innovative Photonic Devices Based on Quantum Dot -- 4.3. Fundamental Limitations -- 4.4. Recent Progress in Nano-Photonic Switching Devices -- Chapter 5 Plasmon Lasers as Coherent Light Source at Molecular Levels -- 5.1. Introduction -- 5.2. Latest Progress on Plasmon Lasers -- 5.3. Experimental Illustration of Plasmon Lasers -- 5.4. Characteristics of Plasmon Laser Action -- 5.5. Dynamic Rate Equation Analysis -- 5.6. Non-Radiative and Radiative Loss Channels -- Chapter 6 Plasmonics For Modern Photovoltaic Devices -- 6.1. Introduction -- 6.2. Plasmonics for Photovoltaics -- 6.3. Scattering of Light by Using Particle Plasmons -- 6.4. Light Concentration by Using Particle Plasmons -- 6.5. Trapping of Light Using SPPs. 6.6. Advantages of Reduced Semiconductor Absorber Layer Thickness -- Chapter 7 Space Applications of Photonic Systems -- 7.1. Introduction -- 7.2. Mission Context -- 7.3. Driving Optical Physics -- 7.4. Launch Vehicle Imaging Systems -- Chapter 8 Photonics and 3D Stacking Based Future Memory Systems -- 8.1. Introduction -- 8.2. Data Movement Dominates -- 8.3. Solution -- References -- Index. EBL201903 XX SzGeCERN EBL Optical communications BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5655484 ebook n 201911 201903 21 PUBLIC https://catalogue.library.cern/legacy/2667988 BOOK MIGRATED 2667986 SzGeCERN 20190412225943.0 9780429608728 electronic version 9780367178970 electronic version EBL 5655408 eng QD716.P45 .C435 2018 541.395 Chakrabarti, Sampa Solar photocatalysis for environmental remediation Milton Chapman and Hall/CRC 2019 174 p Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- 1: Introduction -- Advanced Oxidation Processes and Photocatalysis -- Photocatalysis and Photosensitization -- Summary -- Exercise -- References -- 2: Solar Collectors and Reactors for Environmental Applications -- Non-concentrating Collectors and Reactors -- Concentrating Collectors and Reactors -- Concentrating Versus Non-concentrating Reactors -- Tracking and Non-tracking Systems -- Materials of Construction for Solar Reactor -- Reactors for Water Treatment -- Reactors for Treatment of Plastic Pollutants -- Reactors for Treatment of Polluted Air -- Commercial Photoreactors and Challenges -- Summary -- Exercise -- References -- Suggested Further Reading -- 3: Solar Energy for Water and Wastewater Treatment -- Distillation and Desalination Using Heat of the Sun -- Detoxification Using Light of the Sun: Homogeneous and Heterogeneous Photocatalysis -- Homogeneous Photocatalysis: Photo-Fenton Reactions -- Photocatalytic Mineralization and Decrease in Chemical Oxygen Demand -- Reduction of Biological Oxygen Demand -- Summary -- Exercise -- References -- Suggested Further Reading -- 4: Solid-phase Photocatalytic Degradation of Plastic Films -- Polymers Degraded -- Photocatalysts -- Preparation and Characterization of Semiconductor-Polymer Composite -- Photoreactors Used -- Photocatalytic Degradation -- Reaction Mechanism and Kinetics -- Summary -- Exercise -- References -- Suggested Further Reading -- 5: Photocatalysis for Control of Air Pollution -- Catalysts Used for Photo-remediation of Pollutants in Air -- Model Pollutants Used for Photo-remediation -- Degradation of Pollutants, Possible Kinetics, and Mechanism -- Reactor Configuration for Photocatalytic Treatment of Air Pollution. Commercial Photocatalytic Construction Materials for Air Pollution Control -- Summary -- Exercise -- References -- 6: Solar Water Splitting -- Steps and Chemical Reactions -- Photocatalysts -- Enhancing Photo-water Splitting -- Reactors Used for Water Splitting -- Influence of Process Parameters on Water Splitting -- Summary -- Exercise -- References -- Suggested Further Reading -- 7: Conclusion -- Reference -- Glossary -- Index -- About the Author. 9780367178970 print version oai:cds.cern.ch:2667986 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5655408 ebook ebook EBL Air-Purification-Photocatalysis EBL Photocatalysis EBL Solar energy-Environmental aspects XX SzGeCERN EBL201903 BOOK n 201911 201903 21 PUBLIC BOOK DELETED 2667952 SzGeCERN 20190808000019.0 9781787780330 electronic version electronic version oai:cds.cern.ch:2667952 cerncds:BOOK EBL 5649155 eng TS155.7 .S235 2019 658.408 Sadiq, Naeem ISO 14001 step by step a practical guide Ely IT Governance 2019 110 p Cover -- Title -- Copyright -- Foreword -- About the Authors -- Acknowledgements -- Disclaimer -- Contents -- Chapter 1: PDCA, environmental policy, objectives and programmes (Clauses 5.1, 5.2 and 6.2) -- Chapter 2: Identifying environmental aspects and determining significant impacts (Clause 6.1.2) -- Chapter 3: Regulatory requirements and evaluating compliance (Clauses 6.1.3 and 9.1.2) -- Chapter 4: Resources, roles, responsibility, authority and communication (Clauses 5.3, 7.1 and 7.4) -- Chapter 5: Competence, training and awareness (Clauses 7.2 and 7.3) -- Chapter 6: Documentation and document control (Clause 7.5) -- Chapter 7: Operational controls (Clause 8.1) -- Chapter 8: Emergency preparedness and response (Clause 8.2) -- Chapter 9: Measuring and monitoring (Clause 9.1) -- Chapter 10: Internal audit (Clause 9.2) -- Chapter 11: Management review and continual improvement (Clauses 9.3 and 10.3) -- Chapter 12: Nonconformity, corrective and preventive action (Clause 10.2) -- Chapter 13: Green initiatives -- Appendix A: Sample procedure for identifying environmental aspects -- Appendix B: Sample procedure for internal and external communication -- Appendix C: Sample procedure for control of documented information -- Appendix D: Documented information required by ISO 14001 -- Appendix E: Sample format for a nonconformity report (NCR) -- Appendix F: Sample procedure for internal EMS audit -- Appendix G: Sample input report for EMS management review -- Bibliography -- Further reading. HayatKhan, Asif https://cds.cern.ch/auth.py?r=EBLIB_P_5649155 ebook 201903 n 201911 ebook EBL201903 SzGeCERN XX BOOK 21 PUBLIC BOOK DELETED 2667940 SzGeCERN 20210421202711.0 9781628251661 electronic version electronic version oai:cds.cern.ch:2667940 cerncds:BOOK EBL 5646134 eng HD69.P75 .P765 1998 658.404 Project Management Institute Project management casebook instructor's manual Chicago, IL Project Management Institute 2016 187 p ebook Intro -- Title Page -- Copyright Page -- Table of Contents -- Chapter One: Planning -- The Benfield Column Repair Project -- Food Waste Composting at Larry's Markets -- Winning the Sydney to Hobart: A Case Study in Project Management -- Kodak's New Focus -- Managing Kuwait Oil Fields Reconstruction Projects -- Managing Resources and Communicating Results of Sydney's 7 Billion Clean Waterways Program -- Making Affordable Housing Attainable through Modern Project Management -- Goal Definition and Performance Indicators in Soft Projects: Building a Competitive Intelligence System -- Chapter Two: Organizing -- Communicating Risk Management in Municipal Government Projects: City of New Orleans Computer-Aided Dispatch System Project -- Cape Town's Olympic Bid: A Race against the Clock -- Sydney 2000 Olympic Games: A Project Management Perspective -- Strategic Project Control Initiatives -- Libya: Redefining Challenge -- Land Reserve Modernization Project: The Future of Army Infrastructure -- R&D in the Insurance Industry: PM Makes the Difference -- Implementing Integrated Product Development: A Case Study of Bosma Machine and Tool Corporation -- How ICL used Project Management Techniques to Introduce a New Product Range -- Chapter Three: Motivating -- Communication Strategies for Major Public Works Projects: The Los Angeles Metro Rail Program under Siege -- Learning the Lessons of Apollo 13 -- Taxol®: An Example of "Fast-Track" Drug Development -- Privatization in Patagonia: The Selling of Argentina's Largest Hydroelectric Plant -- Quesnel Air Terminal: Design/Build Works in the Public Sector -- The National Aero-Space Plane Program: A Revolutionary Concept -- Chapter Four: Directing -- Quality Management Works -- Destroying the Old Hierarchies -- Saturn's Vision for Program Management: A Different Kind of Approach. Using Project Management to Create an Entrepreneurial Environment in Czechoslovakia -- The Channel Tunnel: Larger than Life, and Late -- Minimizing Construction Claims under the Project Management Concept -- Chapter Five: Controlling -- Giving Mother Nature a Helping Hand -- Managing Environmental Regulatory Approval Durations -- Pittsburgh International Airport Midfield Terminal Energy Facility -- Environmental Mega-Project under Way: Sludge Management in New York City -- Gaining Project Acceptance -- The Power of Politics: The Fourth Dimension of Managing the Large Public Project -- The Environmental and Molecular Sciences Laboratory Project: Continuous Evolution in Leadership -- Chrysler and Artemis: Striking Back with the Viper -- St. Lucie Unit 2: A Nuclear Plant Built on Schedule -- Measuring Successful Technical Performance: A Cost/Schedule/Technical Control System -- The Legal Standards for "Prudent" Project Management -- Chapter Six: General -- Communicating Constraints: Schedule Baseline and Recovery Measures on the Hong Kong Airport Projects -- Can We Talk?: Communications Management for the Waste Isolation Pilot Plant, a Complex Nuclear Waste Management Project -- The Demise of the Superconducting Supercollider: Strong Politics or Weak Management -- Boeing Spares Distribution Center: A World-Class Facility Achieved through Partnering -- Responding to the Northridge Earthquake -- A Town Makes History by Rising to New Heights -- Real-World Challenges to a Multinational Project Team: Building a Manufacturing Facility in India -- Total Quality Management and Project Management -- Organization and Management of a Multi-Organizational Single Responsibility Project -- Prudent and Reasonable Project Management -- The Space Shuttle Challenger Incident -- Appendix A: PMI's Code of Ethics for the Project Management Profession. Appendix B: Recommended Reading. EBL201903 20210129 added 110__ XX SzGeCERN EBL Project management BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5646134 ebook n 201911 201903 21 PUBLIC https://catalogue.library.cern/legacy/2667940 BOOK MIGRATED 2667939 SzGeCERN 20210421202711.0 9781628251609 electronic version electronic version oai:cds.cern.ch:2667939 cerncds:BOOK EBL 5646130 eng HD69.P75 .P765 1998 658.404 Project Management Institute Project management casebook Chicago, IL Project Management Institute 2016 597 p ebook Intro -- Title Page -- Copyright Page -- Table of Contents -- Acknowledgments -- Preface -- Chapter One: Planning -- The Benfield Column Repair Project -- Food Waste Composting at Larry's Markets -- Winning the Sydney to Hobart: A Case Study in Project Management -- Kodak's New Focus -- Managing Kuwait Oil Fields Reconstruction Projects -- Managing Resources and Communicating Results of Sydney's 7 Billion Clean Waterways Program -- Making Affordable Housing Attainable through Modern Project Management -- Goal Definition and Performance Indicators in Soft Projects: Building a Competitive Intelligence System -- Chapter Two: Organizing -- Communicating Risk Management in Municipal Government Projects: City of New Orleans Computer-Aided Dispatch System Project -- Cape Town's Olympic Bid: A Race Against the Clock -- Sydney 2000 Olympic Games: A Project Management Perspective -- Strategic Project Control Initiatives -- Libya: Redefining Challenge -- Land Reserve Modernization Project: The Future of Army Infrastructure -- R&D in the Insurance Industry: PM Makes the Difference -- Implementing Integrated Product Development: A Case Study of Bosma Machine and Tool Corporation -- How ICL Used Project Management Techniques to Introduce a New Product Range -- Chapter Three: Motivating -- Communication Strategies for Major Public Works Projects: The Los Angeles Metro Rail Program under Siege -- Learning the Lessons of Apollo 13 -- Taxol®: An Example of "Fast-Track" Drug Development -- Privatization in Patagonia: The Selling of Argentina's Largest Hydroelectric Plant -- Quesnel Air Terminal: Design/Build Works in the Public Sector -- The National Aero-Space Plane Program: A Revolutionary Concept -- Chapter Four: Directing -- Quality Management Works -- Destroying the Old Hierarchies -- Saturn's Vision for Program Management: A Different Kind of Approach. Using Project Management to Create an Entrepreneurial Environment in Czechoslovakia -- The Channel Tunnel: Larger than Life, and Late -- Minimizing Construction Claims under the Project Management Concept -- Chapter Five: Controlling -- Giving Mother Nature a Helping Hand -- Managing Environmental Regulatory Approval Durations -- Pittsburgh International Airport Midfield Terminal Energy Facility -- Environmental Mega-Project under Way: Sludge Management in New York City -- Gaining Project Acceptance -- The Power of Politics: The Fourth Dimension of Managing the Large Public Project -- The Environmental and Molecular Sciences Laboratory Project: Continuous Evolution in Leadership -- Chrysler and Artemis: Striking Back with the Viper -- St. Lucie Unit 2: A Nuclear Plant Built on Schedule -- Measuring Successful Technical Performance: A Cost/Schedule/Technical Control System -- The Legal Standards for "Prudent" Project Management -- Chapter Six: General -- Communicating Constraints: Schedule Baseline and Recovery Measures on the Hong Kong Airport Projects -- Can We Talk?: Communications Management for the Waste Isolation Pilot Plant, a Complex Nuclear Waste Management Project -- The Demise of the Superconducting Supercollider: Strong Politics or Weak Management? -- Boeing Spares Distribution Center: A World-Class Facility Achieved through Partnering -- Responding to the Northridge Earthquake -- A Town Makes History by Rising to New Heights -- Real-World Challenges to a Multinational Project Team: Building a Manufacturing Facility in India -- Total Quality Management and Project Management -- Organization and Management of a Multi-Organizational Single Responsibility Project -- Prudent and Reasonable Project Management -- The Space Shuttle Challenger Incident. EBL201903 20210129 added 110__ XX SzGeCERN EBL Project management BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5646130 ebook n 201911 201903 21 PUBLIC https://catalogue.library.cern/legacy/2667939 BOOK MIGRATED 2667913 SzGeCERN 20200503232031.0 9781138099395 electronic version electronic version 9781138099395 print version 9781351596749 electronic version electronic version oai:cds.cern.ch:2667913 cerncds:BOOK EBL 5637246 eng TK4058 .F736 2019 621.46 Franchi, Claiton Moro Electrical machine drives fundamental basics and practice Milton Chapman and Hall/CRC 2019 403 p Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Acknowledgments -- Author -- 1: Electric Motors -- 1.1 Electric Motors Types -- 1.1.1 Direct Current Motors -- 1.1.1.1 Series -- 1.1.1.2 Shunt Excited -- 1.1.1.3 Compound Excited -- 1.1.2 Alternating Current Induction Motors -- 1.1.2.1 Single-Phase Induction Motors -- 1.1.2.2 Types of Single-Phase Induction Motors -- 1.1.2.3 Three-Phase Electric Motor -- 1.2 Motor Selection -- Exercises -- 2: Three-Phase Motors -- 2.1 Introduction -- 2.2 Three-Phase Induction Motor Construction -- 2.3 Faraday's Law -- 2.4 Lenz's Law -- 2.5 Operation Principle of a Three-Phase Induction Motor -- 2.6 Squirrel Cage Induction Motors Characteristics -- 2.6.1 Efficiency (ƞ) -- 2.6.1.1 Motor Efficiency Based on Rated Power -- 2.6.1.2 Motor Efficiency in Function on the Shaft Load -- 2.6.2 Rated Speed -- 2.6.3 Slip -- 2.6.4 Torque Speed Design -- 2.6.5 Insulation Class -- 2.6.5.1 Temperature Rise -- 2.6.6 Motor Cooling -- 2.6.6.1 IC 01-Open Drip Proof (ODP) -- 2.6.6.2 IC 41-Totally Enclosed Fan-Cooled (TEFC) -- 2.6.6.3 IC 40-Totally Enclosed Non-Ventilated (TENV) -- 2.6.6.4 IC 418-Totally Enclosed Air Over (TEAO) -- 2.6.6.5 Special Applications Frames -- 2.6.7 Duty Cycle -- 2.6.8 Service Factor (SF) -- 2.6.9 Multiple Nominal Voltage and Frequency -- 2.6.10 Locked Rotor Current kVA Code Letter (CODE) -- 2.6.11 Speed Direction -- 2.6.12 Environmental Conditions -- 2.6.13 Degree of Protection (IP) -- 2.6.14 Frames -- 2.6.15 Mounting -- 2.6.16 Nameplate -- Exercises -- 3: Electric Power -- 3.1 Real Power -- 3.2 Reactive Power -- 3.3 Apparent Power -- 3.4 Power Triangle -- 3.5 Power Factor -- 3.6 Electric Power Calculations Examples -- 3.7 Power Factor in Industry -- 3.8 Causes of Low Power Factor -- 3.9 Advantages of Power Factor Correction. 3.10 Methods to Correct the Power Factor -- 3.11 Capacitors Parameters -- 3.12 Power Factor Correction Using Capacitors -- 3.12.1 Examples of Power Factor Correction -- 3.13 Location of Capacitors -- 3.14 Real Power in Three-Phase Motors -- 3.15 Power Factor in Induction Motors -- 3.16 Power Characteristics of a Three-Phase Motor -- Exercises -- 4: Motor Starter Components -- 4.1 Push Buttons -- 4.2 Selector Switch -- 4.3 Limit Switches -- 4.4 Fuses -- 4.4.1 Short Circuit Definitions -- 4.4.2 Operation Classes -- 4.4.3 Types of Fuses (European) -- 4.4.3.1 D Type -- 4.4.3.2 Type NH Fuse -- 4.4.4 Sizing of Fuses -- 4.4.4.1 Sizing Example -- 4.4.5 Types of Fuses (US) -- 4.4.6 High Speed Fuses -- 4.4.7 Final Considerations about Fuses -- 4.5 Overload Relays -- 4.5.1 Characteristic Tripping Curve -- 4.5.1.1 Trip Class -- 4.5.2 Ambient Temperature Compensation -- 4.5.3 Forms of Operation -- 4.5.4 Sizing -- 4.5.5 Solid-State Overload Relays -- 4.6 Motor Protective Circuit Breakers -- 4.6.1 Advantages of Using Motor Protective Circuit Breakers -- 4.7 Contactors -- 4.7.1 Contactor Ratings -- 4.7.1.1 NEMA -- 4.7.1.2 IEC -- 4.7.2 Lifespan of Contactor -- 4.7.3 Suppression Modules -- 4.7.4 Main Features of Contactors -- 4.8 Auxiliary Relays -- 4.8.1 Time Relays -- 4.8.1.1 ON-Delay -- 4.8.1.2 OFF-Delay -- 4.8.1.3 Star-Triangle -- 4.8.2 Monitoring Relays -- 4.8.2.1 Phase Sequence -- 4.8.2.2 PTC Thermistor -- 4.8.2.3 Phase Loss -- 4.8.2.4 Undervoltage and Overvoltage -- Exercises -- 5: Starting Methods of Induction Motors -- 5.1 Starting Current of Induction Motor -- 5.2 Basic Electrical Symbols -- 5.3 Typical Diagrams for Starting Induction Motors -- 5.3.1 Direct On Line Starter -- 5.3.1.1 Direct On Line Starter Diagram -- 5.3.1.2 Sizing Example -- 5.3.2 Jogging -- 5.3.3 Forward/Reverse Starter -- 5.3.4 Reduced Voltage Starters. 5.3.4.1 Primary-Resistance Starting -- 5.3.4.2 Star-Triangle Starter -- 5.3.4.3 Autotransformer Starter -- Exercises -- 6: Solid-State Starters: Soft Starter -- 6.1 Soft Starters -- 6.1.1 Operation Principle -- 6.1.1.1 Power Circuit -- 6.1.1.2 Control Circuit -- 6.2 Main Functions of Soft Starter -- 6.3 Parameters Description -- 6.3.1 Voltage Ramp in Acceleration -- 6.3.2 Voltage Ramp in Deceleration -- 6.3.3 Start Voltage Pulse (Kick Start) -- 6.3.4 Current Limitation -- 6.4 Protections -- 6.5 Save Energy -- 6.6 Output Functions -- 6.7 Input Functions -- 6.8 Methods of Starting a Motor with Soft Starter -- 6.8.1 Human Machine Interface -- 6.8.2 Inputs -- 6.8.3 Industrial Networks -- 6.9 Typical Soft Starter Circuits -- 6.9.1 Direct Connection -- 6.9.2 Using Digital Inputs -- 6.9.3 Inside Motor Delta Connection -- 6.9.4 Bypass Contactor -- 6.9.5 Multiples Motors Simultaneously -- 6.9.6 Sequential (Cascaded) Start of Different Motors -- 6.10 Number of Phase Control -- 6.10.1 Unbalance of Motor Currents in the Start -- 6.10.2 Impossibility to Make Inside Delta Connection -- 6.11 Torque Control -- Exercises -- 7: Variable Frequency Drives -- 7.1 Fundamental Concepts -- 7.1.1 Force (F) -- 7.1.2 Speed (n) -- 7.1.3 Angular Speed (ω) -- 7.1.4 Torque -- 7.1.5 Linear Acceleration (la) -- 7.1.6 Rotational Acceleration (ra) -- 7.1.7 Power -- 7.1.8 Energy -- 7.1.9 Moment of Inertia (J) -- 7.2 Torque Relations in a Variable Frequency Driver -- 7.3 Variable Frequency Driver Components Blocks -- 7.3.1 Central Processing Unit -- 7.3.2 Human Machine Interface -- 7.3.3 Input and Output Interfaces -- 7.3.4 Power Stage -- 7.3.4.1 Control System -- 7.3.4.2 Inverter -- 7.3.5 Switching Control -- 7.4 Pulse Width Modulation -- 7.5 Variable Frequency Drives Types -- 7.5.1 Scalar Control -- 7.5.1.1 Scalar Control Characteristics -- 7.5.1.2 Final Considerations on Scalar VFDs. 7.5.2 Vector Control -- 7.5.2.1 Principles of Direct Current Motor -- 7.5.2.2 Vector Control Principles -- 7.5.2.3 Open-Loop Vector Control (Sensorless) -- 7.5.2.4 Feedback Control -- Exercises -- 8: Parameters Description of VFD -- 8.1 Data Input and Output Systems -- 8.2 Speed Control Forms in a VFD -- 8.2.1 HMI -- 8.2.2 Digital Inputs -- 8.2.2.1 Multispeed Function -- 8.2.2.2 Speed Control with Two Digital Inputs -- 8.2.3 Analogue Inputs -- 8.3 Relay Output Functions -- 8.4 VFD Input and Output Connections -- 8.5 Typical VFD Wiring Diagrams -- 8.6 Transferring Configuration Using Human Machine Interface -- 8.7 Application in Process Control -- 8.7.1 Open-Loop Control -- 8.7.2 Closed-Loop Control -- 8.8 VFD Functions -- 8.8.1 Types of Acceleration and Deceleration Ramps -- 8.8.2 Motor Overload Current -- 8.8.3 Maximum Output Current Limiting -- 8.8.4 Switching Frequency -- 8.8.5 Avoided Frequencies -- 8.8.6 Automatic Cycle -- 8.8.7 Manual Boost Torque (Compensation IxR) -- 8.8.8 V/F Curve Adjust -- 8.8.9 Braking -- 8.8.9.1 DC Injection Braking -- 8.8.9.2 Rheostatic Braking -- 8.8.9.3 Regenerative Braking -- Exercises -- 9: VFD Protection and Installation -- 9.1 VFD Electric Protection -- 9.2 Built-In VFD Protections -- 9.2.1 AC and DC Under-Voltage -- 9.2.1.1 Grid Under-Voltage Fault -- 9.2.1.2 DC Bus Fault -- 9.2.1.3 AC and DC Overvoltage Protections -- 9.2.2 Overcurrent Protection -- 9.2.3 Earth Leakage Protection -- 9.2.4 Heat Sink Over-Temperature Protection -- 9.2.5 Motor Thermal Overload Protection -- 9.2.6 VFD Protections Overview -- 9.3 Fault and Diagnostic Information -- 9.4 VFD Installation -- 9.4.1 Power Supply -- 9.4.2 Variable Frequency Driver Cabling -- 9.4.3 Variable Frequency Drive Output Devices -- 9.4.3.1 Overload Relays -- 9.4.3.2 Load Reactor -- 9.4.4 Environmental Conditions of the Installation. 9.4.5 Temperature Current Derating -- 9.4.6 Altitude Current Derating -- 9.5 Variable Frequency Drive Types of Connections -- 9.6 Motors in Parallel -- 9.7 Inside Delta Connection -- 9.8 Good Practices for Installing VFDs -- 9.9 Harmonics Generated by Variable Frequency Drives -- 9.9.1 Harmonic Definition -- 9.9.2 Harmonic Distortion Analysis -- 9.9.3 Total Harmonic Distortion (THD) -- 9.9.4 Effects of Harmonic Frequencies on Equipment -- 9.9.5 Selecting the Switching Frequency -- 9.9.6 High dv/dt Rates in Variable Frequency Drives -- 9.9.7 Protection of Motors against High Switching Frequency -- 9.9.8 Conclusions about High Switching Frequencies in Variable Frequency Drives -- Exercises -- 10: Variable Frequency Drive Sizing and Applications -- 10.1 Variable Frequency Drive Sizing -- 10.2 Basic Procedure for VFD Selection -- 10.2.1 Motor Selection -- 10.3 Variable Frequency Drive Selection according to the Type of Load -- 10.4 Load Types -- 10.4.1 Load Torque Characteristics -- 10.5 Speed Range Selection -- 10.6 VFD Applications -- 10.6.1 Ventilation -- 10.6.2 Load Division (Master-Slave) -- Exercises -- Appendix: Motors Wiring Diagrams -- Glossary -- Bibliography -- Index. https://cds.cern.ch/auth.py?r=EBLIB_P_5637246 ebook ebook EBL Electric driving XX SzGeCERN EBL201903 BOOK n 201911 201903 21 PUBLIC BOOK DELETED 2667911 SzGeCERN 20210421202714.0 9781119297864 9781119297901 oai:cds.cern.ch:2667911 cerncds:BOOK SAFARI 9781119297864 eng TK2945.L58 .L584 2019 621.312424 Wild, Mark Lithium sulfur batteries Newark, NJ John Wiley & Sons 2019 352 p ebook Cover -- Title Page -- Copyright -- Contents -- Preface -- Part I Materials -- Chapter 1 Electrochemical Theory and Physics -- 1.1 Overview of a LiS cell -- 1.2 The Development of the Cell Voltage -- 1.2.1 Using the Electrochemical Potential -- 1.2.2 Electrochemical Reactions -- 1.2.3 The Electric Double Layer -- 1.2.4 Reaction Equilibrium -- 1.2.5 A Finite Electrolyte -- 1.2.6 The Need for a Second Electrode -- 1.3 Allowing a Current to Flow -- 1.3.1 The Reaction Overpotential -- 1.3.2 The Transport Overpotential -- 1.3.3 General Comments on the Overpotentials -- 1.4 Additional Processes Which Define the Behavior of a LiS Cell -- 1.4.1 Multiple Electrochemical Reactions at One Surface -- 1.4.2 Chemical Reactions -- 1.4.3 Species Solubility and Indirect Reaction Effects -- 1.4.4 Transport Limitations in the Cathode -- 1.4.5 The Active Surface Area -- 1.4.6 Precipitate Accumulation -- 1.4.7 Electrolyte Viscosity, Conductivity, and Species Transport -- 1.4.8 Side Reactions and SEI Formation at the Anode -- 1.4.9 Anode Morphological Changes -- 1.4.10 Polysulfide Shuttle -- 1.5 Summary -- References -- Chapter 2 Sulfur Cathodes -- 2.1 Cathode Design Criteria -- 2.1.1 Overview of Cathode Components and Composition -- 2.1.2 Cathode Design: Role of Electrolyte in Sulfur Cathode Chemistry -- 2.1.3 Cathode Design: Impact on Energy Density on Cell Level -- 2.1.4 Cathode Design: Impact on Cycle Life and Self‐discharge -- 2.1.5 Cathode Design: Impact on Rate Capability -- 2.2 Cathode Materials -- 2.2.1 Properties of Sulfur -- 2.2.2 Porous and Nanostructured Carbons as Conductive Cathode Scaffolds -- 2.2.2.1 Graphite‐Like Carbons -- 2.2.2.2 Synthesis of Graphite‐like Carbons -- 2.2.2.3 Carbon Black -- 2.2.2.4 Activated Carbons -- 2.2.2.5 Carbide‐Derived Carbon -- 2.2.2.6 Hard‐Template‐Assisted Carbon Synthesis -- 2.2.2.7 Carbon Surface Chemistry. 2.2.3 Carbon/Sulfur Composite Cathodes -- 2.2.3.1 Microporous Carbons -- 2.2.3.2 Mesoporous Carbons -- 2.2.3.3 Macroporous Carbons and Nanotube-based Cathode Systems -- 2.2.3.4 Hierarchical Mesoporous Carbons -- 2.2.3.5 Hierarchical Microporous Carbons -- 2.2.3.6 Hollow Carbon Spheres -- 2.2.3.7 Graphene -- 2.2.4 Retention of LiPS by Surface Modifications and Coating -- 2.2.4.1 Metal Oxides as Adsorbents for Lithium Polysulfides -- 2.3 Cathode Processing -- 2.3.1 Methods for C/S Composite Preparation -- 2.3.2 Wet (Organic, Aqueous) and Dry Coating for Cathode Production -- 2.3.3 Alternative Cathode Support Concepts (Carbon Current Collectors, Binder‐free Electrodes) -- 2.3.4 Processing Perspective for Carbons, Binders, and Additives -- 2.4 Conclusions -- References -- Chapter 3 Electrolyte for Lithium-Sulfur Batteries -- 3.1 The Case for Better Batteries -- 3.2 Li-S Battery: Origins and Principles -- 3.3 Solubility of Species and Electrochemistry -- 3.4 Liquid Electrolyte Solutions -- 3.5 Modified Liquid Electrolyte Solutions -- 3.5.1 Variation in Electrolyte Salt Concentration -- 3.5.2 Mixed Organic-Ionic Liquid Electrolyte Solutions -- 3.5.3 Ionic Liquid Electrolyte Solutions -- 3.6 Solid and Solidified Electrolyte Configurations -- 3.6.1 Polymer Electrolytes -- 3.6.1.1 Absorbed Liquid/Gelled Electrolyte -- 3.6.1.2 Solid Polymer Electrolytes -- 3.6.2 Non‐polymer Solid Electrolytes -- 3.7 Challenges of the Cathode and Solvent for Device Engineering -- 3.7.1 The Cathode Loading Challenge -- 3.7.2 Cathode Wetting Challenge -- 3.8 Concluding Remarks and Outlook -- References -- Chapter 4 Anode-Electrolyte Interface -- 4.1 Introduction -- 4.2 SEI Formation -- 4.3 Anode Morphology -- 4.4 Polysulfide Shuttle -- 4.5 Electrolyte Additives for Stable SEI Formation -- 4.6 Barrier Layers on the Anode -- 4.7 A Systemic Approach -- References. Part II Mechanisms -- Chapter 5 Molecular Level Understanding of the Interactions Between Reaction Intermediates of Li-S Energy Storage Systems and Ether Solvents -- 5.1 Introduction -- 5.2 Computational Details -- 5.3 Results and Discussions -- 5.3.1 Reactivity of Li-S Intermediates with Dimethoxy Ethane (DME) -- 5.3.2 Kinetic Stability of Ethers in the Presence of Lithium Polysulfide -- 5.3.3 Linear Fluorinated Ethers -- 5.4 Summary and Conclusions -- Acknowledgments -- References -- Chapter 6 Lithium Sulfide -- 6.1 Introduction -- 6.2 Li2S as the End Discharge Product -- 6.2.1 General -- 6.2.2 Discharge Product: Li2S or Li2S2/Li2S? -- 6.2.3 A Survey of Experimental and Theoretical Findings Involving Li2S and Li2S2 Formation and Proposed Reduction Pathways -- 6.2.4 Mechanistic Insight into Li2S/Li2S2 Nucleation and Growth -- 6.2.5 Strategies to Limit Li2S Precipitation and Enhance the Capacity -- 6.2.6 Charge Mechanism and its Difficulties -- 6.3 Li2S‐Based Cathodes: Toward a Li Ion System -- 6.3.1 General -- 6.3.2 Initial Activation of Li2S - Mechanism of First Charge -- 6.3.3 Recent Developments in Li2S Cathodes for Improved Performances -- 6.4 Summary -- References -- Chapter 7 Degradation in Lithium-Sulfur Batteries -- 7.1 Introduction -- 7.2 Degradation Processes Within a Lithium-Sulfur Cell -- 7.2.1 Degradation at Cathode -- 7.2.2 Degradation at Anode -- 7.2.3 Degradation in Electrolyte -- 7.2.4 Degradation Due to Operating Conditions: Temperature, C‐Rates, and Pressure -- 7.2.5 Degradation Due to Geometry: Scale‐Up and Topology -- 7.3 Capacity Fade Models -- 7.3.1 Dendrite Models -- 7.3.2 Equivalent Circuit Network Models -- 7.4 Methods of Detecting and Measuring Degradation -- 7.4.1 Incremental Capacity Analysis -- 7.4.2 Differential Thermal Voltammetry -- 7.4.3 Electrochemical Impedance Spectroscopy -- 7.4.4 Resistance Curves. 7.4.5 Macroscopic Indicators -- 7.5 Methods for Countering Degradation -- 7.6 Future Direction -- References -- Part III Modeling -- Chapter 8 Lithium-Sulfur Model Development -- 8.1 Introduction -- 8.2 Zero‐Dimensional Model -- 8.2.1 Model Formulation -- 8.2.1.1 Electrochemical Reactions -- 8.2.1.2 Shuttle and Precipitation -- 8.2.1.3 Time Evolution of Species -- 8.2.1.4 Model Implementation -- 8.2.2 Basic Charge/Discharge Behaviors -- 8.3 Modeling Voltage Loss in Li-S Cells -- 8.3.1 Electrolyte Resistance -- 8.3.2 Anode Potential -- 8.3.3 Surface Passivation -- 8.3.4 Transport Limitation -- 8.4 Higher Dimensional Models -- 8.4.1 One‐Dimensional Models -- 8.4.2 Multi‐Scale Models -- 8.5 Summary -- References -- Chapter 9 Battery Management Systems - State Estimation for Lithium-Sulfur Batteries -- 9.1 Motivation -- 9.1.1 Capacity -- 9.1.2 State of Charge (SoC) -- 9.1.3 State of Health (SoH) -- 9.1.4 Limitations of Existing Battery State Estimation Techniques -- 9.1.4.1 SoC Estimation from ``Coulomb Counting'' -- 9.1.4.2 SoC Estimation from Open‐Circuit Voltage (OCV) -- 9.1.5 Direction of Current Work -- 9.2 Experimental Environment for Li-S Algorithm Development -- 9.2.1 Pulse Discharge Tests -- 9.2.2 Driving Cycle Tests -- 9.3 State Estimation Techniques from Control Theory -- 9.3.1 Electrochemical Models -- 9.3.2 Equivalent Circuit Network (ECN) Models -- 9.3.3 Kalman Filters and Their Derivatives -- 9.4 State Estimation Techniques from Computer Science -- 9.4.1 ANFIS as a Modeling Tool -- 9.4.2 Human Knowledge and Fuzzy Inference Systems (FIS) -- 9.4.3 Adaptive Neuro‐Fuzzy Inference Systems -- 9.4.4 State‐of‐Charge Estimation Using ANFIS -- 9.5 Conclusions and Further Directions -- Acknowledgments -- References -- Part IV Application -- Chapter 10 Commercial Markets for Li-S -- 10.1 Technology Strengths Meet Market Needs -- 10.1.1 Weight. 10.1.2 Safety -- 10.1.3 Cost -- 10.1.4 Temperature Tolerance -- 10.1.5 Shipment and Storage -- 10.1.6 Power Characteristics -- 10.1.7 Environmentally Friendly Technology (Clean Tech) -- 10.1.8 Pressure Tolerance -- 10.1.9 Control -- 10.2 Electric Aircraft -- 10.3 Satellites -- 10.4 Cars -- 10.5 Buses -- 10.6 Trucks -- 10.7 Electric Scooter and Electric Bikes -- 10.8 Marine -- 10.9 Energy Storage -- 10.10 Low‐Temperature Applications -- 10.11 Defense -- 10.12 Looking Ahead -- 10.13 Conclusion -- Chapter 11 Battery Engineering -- 11.1 Mechanical Considerations -- 11.2 Thermal and Electrical Considerations -- References -- Chapter 12 Case Study -- 12.1 Introduction -- 12.2 A Potted History of Eternal Solar Flight -- 12.3 Why Has It Been So Difficult? -- 12.4 Objectives of HALE UAV -- 12.4.1 Stay Above the Cloud -- 12.4.2 Stay Above the Wind -- 12.4.3 Stay in the Sun -- 12.4.4 Year‐Round Markets -- 12.4.5 Seasonal Markets -- 12.4.6 How Valuable Are These Markets and What Does That Mean for the Battery? -- 12.5 Worked Example - HALE UAV -- 12.6 Cells, Batteries, and Real Life -- 12.6.1 Cycle Life, Charge, and Discharge Rates -- 12.6.2 Payload -- 12.6.3 Avionics -- 12.6.4 Temperature -- 12.6.5 End‐of‐Life Performance -- 12.6.6 Protection -- 12.6.7 Balancing - Useful Capacity -- 12.6.8 Summary of Real‐World Issues -- 12.7 A Quick Aside on Regenerative Fuel Cells -- 12.8 So What Do We Need from Our Battery Suppliers? -- 12.9 The Challenges for Battery Developers -- 12.10 The Answer to the Title -- 12.11 Summary -- Acknowledgments -- References -- Index -- EULA. SAF202009 EBLlink deleted XX SzGeCERN BOOK Offer, Gregory J https://learning.oreilly.com/library/view/-/9781119297864/?ar ebook n 201911 201903 21 PUBLIC https://catalogue.library.cern/legacy/2667911 BOOK MIGRATED 2667901 SzGeCERN 20210421202715.0 9781536142020 electronic version electronic version 9781536142020 print version 9781536143997 electronic version electronic version oai:cds.cern.ch:2667901 cerncds:BOOK EBL 5633684 eng TK3001 .R464 2019 621.319 Colmenar-Santos, Antonio Renewable electric power distribution engineering New York, NY Nova Science Publishers 2018 367 p ebook Renewable energy research, development and policies Intro -- Contents -- Preface -- Chapter 1 -- The Role of Energy Reserve and Magnetic Energy Storage -- Abstract -- Introduction -- Material and Methods -- Theoretical Framework -- t Calculations -- Results -- Economic Analysis -- Economic Benefits -- Environmental Benefits -- Discussion -- Community Legislation (EU) -- National Legislation -- Regulation and Standardization -- Comparison with Other Countries -- Conclusion and Political Implications -- Appendiсes -- Appendix A. -- A.1. Normative Aspects -- A.2. Economics Aspects -- Appendix B. -- Appendix C. -- Appendix D. -- D.1. United States of America -- D.2. Japan -- D.3.. Germany -- References -- Chapter 2 -- Superconducting Fault Current Limiter in Distribution Substations -- Abstract -- Abbreviations -- Introduction -- Description of the SFCL Installation Components -- Advantages and Disadvantages of the SFCL System -- Economic Justification -- Avoided Cost for Non-Delivered Energy -- Increase Efficiency for Parallel Transformer Operation -- Avoided Costs of Transformer Disconnection -- Avoided Costs for Generator Unavailability -- Avoided Costs for Replacement, Repair and Maintenance -- Avoided Cost for Equipment Life Time -- Conclusion -- References -- Chapter 3 -- Distribution Transformer Loss Reductions -- Abstract -- Nomenclature -- Introduction -- Energy Losses in Transformers -- Transformer Losses -- No Load Losses -- Load Losses -- Losses in Parallel Transformer Systems -- Methodology and Study -- The Transformer Facilities Studied -- Calculation of the Losses and Determination of the PLO -- Analysis of the Maintenance Protocols -- Results and Analysis -- The Optimization Point Calculation -- Energy Savings in the Monitored Facilities. Experimental Validation -- Experimental Data of the Maintenance Operations -- Conclusion -- References -- Chapter 4. Energy Efficiency Improvement in Power Converters -- Abstract -- Nomenclature -- 1. Introduction -- 2. System Configuration and Modelling -- 2.1. Design of the Three-Phase Hysteresis Controlled VSI Converter -- 2.2. Working Principle: Fixed-Band Hysteresis Controller -- 2.3. Simulation of the Three-Phase Hysteresis Controlled Inverter -- 2.4. Sensitivity Analysis -- 3. Laboratory Implementation -- 3.1. Power Module -- 3.2. LC Filter -- 3.3. Control Board -- 4. Results and Analysis -- 5. Discussion -- Conclusion -- References -- About the Editors -- Index -- Blank Page -- Contents -- Preface -- Chapter 1 -- The Role of Energy Reserve and Magnetic Energy Storage -- Abstract -- Introduction -- Material and Methods -- Theoretical Framework -- t Calculations -- Results -- Economic Analysis -- Economic Benefits -- Environmental Benefits -- Discussion -- Community Legislation (EU) -- National Legislation -- Regulation and Standardization -- Comparison with Other Countries -- Conclusion and Political Implications -- Appendiсes -- Appendix A. -- A.1. Normative Aspects -- A.2. Economics Aspects -- Appendix B. -- Appendix C. -- Appendix D. -- D.1. United States of America -- D.2. Japan -- D.3.. Germany -- References -- Chapter 2 -- Superconducting Fault Current Limiter in Distribution Substations -- Abstract -- Abbreviations -- Introduction -- Description of the SFCL Installation Components -- Advantages and Disadvantages of the SFCL System -- Economic Justification -- Avoided Cost for Non-Delivered Energy -- Increase Efficiency for Parallel Transformer Operation -- Avoided Costs of Transformer Disconnection -- Avoided Costs for Generator Unavailability -- Avoided Costs for Replacement, Repair and Maintenance -- Avoided Cost for Equipment Life Time -- Conclusion -- References -- Chapter 3 -- Distribution Transformer Loss Reductions -- Abstract. Nomenclature -- Introduction -- Energy Losses in Transformers -- Transformer Losses -- No Load Losses -- Load Losses -- Losses in Parallel Transformer Systems -- Methodology and Study -- The Transformer Facilities Studied -- Calculation of the Losses and Determination of the PLO -- Analysis of the Maintenance Protocols -- Results and Analysis -- The Optimization Point Calculation -- Energy Savings in the Monitored Facilities. Experimental Validation -- Experimental Data of the Maintenance Operations -- Conclusion -- References -- Chapter 4 -- Energy Efficiency Improvement in Power Converters -- Abstract -- Nomenclature -- 1. Introduction -- 2. System Configuration and Modelling -- 2.1. Design of the Three-Phase Hysteresis Controlled VSI Converter -- 2.2. Working Principle: Fixed-Band Hysteresis Controller -- 2.3. Simulation of the Three-Phase Hysteresis Controlled Inverter -- 2.4. Sensitivity Analysis -- 3. Laboratory Implementation -- 3.1. Power Module -- 3.2. LC Filter -- 3.3. Control Board -- 4. Results and Analysis -- 5. Discussion -- Conclusion -- References -- About the Editors -- Index -- Blank Page. EBL201903 XX SzGeCERN EBL Electric power distribution BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5633684 ebook n 201911 201903 21 PUBLIC https://catalogue.library.cern/legacy/2667901 BOOK MIGRATED 2667900 SzGeCERN 20210421202715.0 9781536143416 electronic version electronic version 9781536143416 print version 9781536143423 electronic version electronic version oai:cds.cern.ch:2667900 cerncds:BOOK EBL 5633682 eng TJ262 .H438 2018 621.4025 Espenson, Tea Heat pumps New York, NY Nova Science Publishers 2018 193 p ebook Energy science, engineering and technology Intro -- Contents -- Preface -- Chapter 1 -- Heat Pumps for Simultaneous Heating and Cooling -- Abstract -- Nomenclature -- Abbreviations -- Latin Letters -- Greek Letters -- Subscripts -- 1. Introduction -- 2. Simultaneous Heating and Cooling Demands -- 2.1. Ratio of Simultaneous Needs -- 2.2. Space Heating, DHW Production and Space Cooling -- 2.3. Desalination and Space Cooling -- 2.4. Summary on Simultaneous Needs in Heating and Cooling -- 3. HPS Performance -- 3.1. Energy Performance -- 3.2. Exergy Performance -- 4. Applications -- 4.1. Simultaneous Heating and Cooling of Buildings -- 4.2. Simultaneous Cooling and Desalination -- 4.3. Other Simultaneous Heating and Cooling Systems and Applications -- Conclusion -- References -- Biographical Sketch -- Chapter 2 -- Performance Analyses of a Ground Source Heat Pump System for Cooling a Typical Household in Tunisia Using an Experimentally Validated TRNSYS Model -- Abstract -- Nomenclature -- Subscripts -- Abbreviations -- 1. Introduction -- 1.1. Context -- 1.2. State of the Art -- 1.3. Objectives -- 1.4. Organization -- 2. TRNSYS Model Description -- 3. TRNSYS Model Validation -- 3.1. Experimental Setup -- 3.2. Experimental Tests -- 3.3. Uncertainty Analysis -- 3.4. Model Validation -- 3.4.1. Indoor Temperature -- 3.4.2. The Coefficient of Performance of the Heat Pump -- 3.4.3. The Heat Transferred to the Ground -- 3.4.4. Conclusion of the Model Validation -- 4. Results and Discussions -- 4.1. Determination of the Optimal Parameters of the GSHP System -- 4.1.1. The GHE Parameters -- 4.1.1.1. The Length -- 4.1.1.2. The Condenser Mass Flow Rate -- 4.1.1.3. The Buried Depth -- 4.1.2. The GHP Power Consumed -- 4.1.3. The RFC System -- 4.1.4. Conclusion of the GSHP Optimization -- 4.2. Simulation Results for a Typical Household in Tunisia -- Conclusion -- Acknowledgments -- Homage -- References. Biographical Sketch -- Chapter 3 -- Metal-Organic Frameworks (MOFs) for Adsorption Heat Pump Applications -- Abstract -- Nomenclature -- 1. Introduction -- 2. Fundamentals of Adsorption Heat Pumps -- 3. Metal-Organic Frameworks (MOFs) -- 3.1. MOF Structure -- 3.2. Routes of MOF Synthesis -- 3.3. Functionalization of MOFs -- 4. Characterization of MOF Adsorbent Materials -- 4.1. X-Ray Diffraction (XRD) -- 4.2. Thermogravimetric Analysis (TGA) -- 4.3. Scanning Electron Microscopy (SEM) -- 4.4. Surface Area Measurement Using Nitrogen Adsorption -- 4.5. Vapour Adsorption -- 4.5.1. Adsorption Isotherms -- 4.5.2. Experimental Techniques for Measuring the Adsorption Kinetics -- 5. Water Adsorption in Metal Organic Frameworks -- 6. MOF Adsorption Heat Pumps -- 6.1. MOFs- Water Pair -- 6.2. MOFs- Ethanol Pair -- 6.3. MOFs- Methanol Pair -- Conclusion -- References -- Biographical Sketch -- Chapter 4 -- Mexican Beach Sand: An Option of Energy Sustainability for Closed-Loop Geothermal Heat Pump Systems -- Abstract -- 1. Introduction -- 1.1. Geothermal Heat Pump Systems -- 1.2. Previous Research on GHPS in Mexico -- 1.3. Sand as a Heat Source and Heat Sink -- 2. Research on Sand Temperatures -- 2.1. Experiment -- 2.1.1. Dry Sand -- 2.1.2. Wet Sand -- 2.1.3. Sand in Beakers -- 2.2. Dry Sand Temperature -- 2.3. Wet Sand Temperature -- 2.4. Sand Temperature in Covered Beakers -- 3. Computational Simulation -- 4. Research Pertaining to GHPS in Latin America -- 4.1. Central America -- 4.2. South America -- 5. Comparison between the Mexican Beach Sand Temperature and Other Sand Temperature Studies Made throughout the World -- 6. The Energy Sustainability of Mexican Beach Sand -- Conclusion -- Future Research -- References -- Biographical Sketch -- Chapter 5 -- Potential Optimisation of Heat Pump Placement in Terms of Environmental Noise Levels -- Abstract. 1. Introduction -- 2. Alternative Options of Heat Pump Placement Indoors and Outdoors -- 3. Risks in the Prediction of Heat Pump Noise Levels -- Conclusion -- Acknowledgment -- References -- Biographical Sketch -- Index -- Blank Page. EBL201903 XX SzGeCERN EBL Electric heating EBL Ground source heat pump system BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5633682 ebook n 201911 201903 21 PUBLIC https://catalogue.library.cern/legacy/2667900 BOOK MIGRATED 2667868 SzGeCERN 20210421202719.0 9781789133264 1789133262 9781789132243 oai:cds.cern.ch:2667868 cerncds:BOOK SAFARI 9781789132243 eng QA76.9.D32 .S268 2019 005.74 Santos, Maximiliano Hands-on IoT solutions with blockchain discover how converging IoT and blockchain can help you build effective solutions Birmingham Packt Publishing 2019 197 p ebook Cover -- Title Page -- Copyright and Credits -- About Packt -- Contributors -- Table of Contents -- Preface -- Chapter 1: Understanding IoT and Developing Devices on the IBM Watson IoT Platform -- What is IoT? -- Common business use cases of IoT -- Connected car -- Connected persons -- Technical elements in IoT -- Devices -- Edge computing -- Networking -- Wireless (Wi-Fi) or cabled network -- Cellular/mobile network -- Low-power wide-area network (LPWAN) -- LoRa or LoRaWAN -- Network summary -- Application protocols -- MQTT -- Analytics and AI -- IBM Watson IoT Platform features -- Features -- Dashboard -- Devices, gateways, and applications -- Security -- Creating your first IoT solution -- Creating a gateway -- Creating an application -- Creating a device -- Summary -- Further reading -- Chapter 2: Creating Your First IoT Solution -- Technical requirements -- The first IoT solution - the gardening solution -- Requirements overview -- Solution overview -- Selecting the equipment -- Intel Edison -- Arduino breakout board -- Grove system -- Grove base shield for Arduino -- Grove sensors -- Grove button -- Grove relay -- Wiring the device -- Coding the device firmware -- Measuring soil moisture -- Measuring environmental temperature -- Turning on the relay -- Publishing events -- Monitoring the events -- Subscribing to actions -- Creating the backend application -- Creating a Cloud Foundry application in the IBM Cloud Platform -- Uploading the code -- Summary -- Further reading -- Chapter 3: Explaining Blockchain Technology and Working with Hyperledger -- What is blockchain? -- Blockchain and Hyperledger -- Hyperledger projects -- Hyperledger Sawtooth framework -- Hyperledger Iroha framework -- Hyperledger Composer tool -- Hyperledger Burrow framework -- Hyperledger Fabric -- Member or peer -- Certificate Authority (CA) -- Ordering Cluster. SDK/API -- Selecting a good use case -- Blockchain - food tracking use case -- Summary -- Questions -- Further reading -- Chapter 4: Creating Your Own Blockchain Network -- Prerequisites -- Creating your own blockchain network with Hyperledger Composer -- Accessing Hyperledger Composer -- Exploring the structure of a sample blockchain network -- Installing your own blockchain network using Hyperledger Fabric and Composer -- Setting up Docker -- Installing Hyperledger Composer -- Components -- Step 1 - Setting up CLI Tools -- Step 2 - Setting up Playground -- Step 3 - Hyperledger Fabric -- Step 4 - IDE -- Installing Hyperledger Fabric 1.3 using Docker -- Deploying Hyperledger Fabric 1.3 to a Kubernetes environment -- Summary -- Further reading -- Chapter 5: Addressing Food Safety - Building around the Blockchain -- Regulations, challenges, and concerns in the modern food chain -- Challenges regarding food safety -- Food safety regulations - ISO 22000 -- How blockchain and IoT can help in a food chain -- Food ecosystem -- Opportunities and challenges in a food ecosystem -- Farmers -- Food manufacturers -- Regulators -- Transporters (transportation companies) -- Stores and supermarkets -- Customer -- Is the food chain a good use case for IoT and blockchain technology? -- Summary -- Further reading -- Chapter 6: Designing the Solution Architecture -- The business of food -- Challenges of the process -- The process at the food factory -- The process at the distribution center -- The process at supermarkets and stores -- The technological approach -- Frontend applications -- IoT-based asset tracking -- API/SDK -- Hyperledger Composer - a high-level overview -- Software components -- Composer REST server -- Hyperledger Composer model -- The Hyperledger Composer access control language -- Hyperledger Composer transaction processor functions -- Summary. Questions -- Further reading -- Chapter 7: Creating Your Blockchain and IoT Solution -- Technical requirements -- Solution overview -- Creating a blockchain network -- Concepts and enumerations -- Asset definitions -- Participants -- Deploying and testing the business network for Hyperledger -- Manipulating assets via transactions in the blockchain -- Generating and exporting participant business cards -- Defining access control lists (ACLs) -- Upgrading the business network to a newer version -- Setting up Composer REST servers for each participant -- Creating the IoT part of the solution -- Hardware setup -- Firmware development -- Application development -- End-to-end testing -- Creating a FoodBox -- Transferring the asset to the transporter -- Measuring the temperature while transporting -- Transferring the asset to the warehouse -- Creating a pallet and adding the box to it -- Measuring the temperature while transporting a pallet -- Tracking the FoodBox -- Summary -- Chapter 8: The IoT, Blockchain, and Industry 4.0 -- Industry 4.0 -- Cloud computing as an innovation platform -- The cloud computing model -- The importance of cloud computing to Industry 4.0 -- The IoT -- Blockchain - simplifying business chains -- Summary -- Chapter 9: Best Practices for Developing Blockchain and IoT Solutions -- Developing cloud applications -- Reference architecture -- Development using the 12-factor application model -- Serverless computing -- Blockchain development using Hyperledger Composer -- The Hyperledger Composer toolkit -- The Hyperledger Composer REST server -- Authentication and multiuser mode -- Data source configuration -- Summary -- Further reading -- Other Books You May Enjoy -- Index. IoT and Blockchain are not limited to certain industries or use cases. Almost any business with a network and IoT device can reduce costs, improve business efficiency, and remove single points of failure in networks by implementing Blockchain. This book will help you implement an end-to-end Blockchain and IoT solution using best practices. SAF201904 EBLlink deleted XX SzGeCERN BOOK Moura, Enio https://learning.oreilly.com/library/view/-/9781789132243/?ar ebook n 201911 201903 21 PUBLIC https://catalogue.library.cern/legacy/2667868 BOOK MIGRATED 2667859 SzGeCERN 20210319233130.0 9782759822003 electronic version electronic version 9782759822003 print version 9782759823178 electronic version electronic version oai:cds.cern.ch:2667859 cerncds:BOOK EBL 5630493 eng QD850 .L677 2018 541.39 Lors, Christine Interactions materials microorganisms : concretes and metals more resistant to biodeterioration Les Ulis EDP Sciences 2019 416 p Science des matériaux Cover -- Table of contents -- Preface -- List of authors -- Acknowledgements -- Theme 1 Physico-chemistry of surfaces -- 1. Introduction to the physical chemistry of surfaces -- 1.1 Generalities -- 1.2 Surface tension and wettability -- 1.2.1 Concepts -- 1.2.2 Applications -- 1.3 Adsorption -- 1.4 Charged surfaces -- 1.4.1 Concepts -- 1.4.2 Interactions between charged surfaces -- 1.5 Characterization and modification of surfaces -- Acknowledgements -- References -- 2. Construction materials: general description and physical chemistry -- 2.1 General description - cements, mortars and concretes -- 2.1.1 Portland cement -- 2.1.2 Calcium Aluminate Cements (CAC) -- 2.1.3 Modern cements: mixtures of minerals -- 2.2 Setting and hardening - fundamental principles of crystallisation -- 2.2.1 Notions of solubility equilibrium, undersaturation and supersaturation -- 2.2.2 Nucleation -- 2.2.3 Crystal growth -- 2.2.4 Principles of crystallisation applied to Portland cement -- 2.2.5 Principles of crystallisation applied to calcium aluminate cements -- 2.3 Surface chemistry of hydrated cements -- 2.3.1 Surface charge and z (zeta) potential -- 2.3.2 Consequences for cementitious materials -- 2.4 Conclusion -- References -- 3. Microorganism-Concrete Interactions -- 3.1 General information -- 3.2 Parameters influencing the bioreceptivity of cementitious materials -- 3.2.1 Relationship between these parameters and bioreceptivity -- 3.2.2 Surface energy -- 3.2.3 Measurement of contact angles -- 3.3 Measurements of the evolution of surface properties of cementitious pastes with the technique of measurement of dynamic angles -- 3.3.1 Implementation -- 3.3.2 Evolution of contact angles as a function of time -- 3.3.3 Evolution of contact angles as a function of diameter -- 3.4 Conclusion -- References. Theme 2 Biofilms: actors of biodeterioration -- 4. The bacterial cell: the functional unit of biofilms -- 4.1 Introduction -- 4.2 Microorganisms -- 4.3 Microbial diversity and habitat diversity -- 4.4 Structures and functions of the bacterial cell -- 4.4.1 Cytoplasm, the nucleoid, and inclusions -- 4.4.2 The cytoplasmic membrane -- 4.4.3 Cell envelopes -- 4.4.4 Appendages, filaments and cytoplasmic extensions -- 4.5 Metabolism in bacteria -- 4.5.1 Aerobic respiration of chemoorganotrophs -- 4.5.2 Aerobes chemolithotrophs -- 4.5.3 The anaerobic respirations -- 4.5.4 Fermentations -- 4.5.5 Stratification and spatiometabolic structuration, syntrophy -- 4.5.6 Couplings of biotic and abiotic reactions: indirect biotic reactions -- 4.6 Conclusion -- References -- 5. Biofilm lifestyle of the microscopic inhabitants of surfaces -- 5.1 Biofilms, a lifestyle that concerns us -- 5.2 A continuous construction site -- 5.3 A complex organic cement to maintain the edifice -- 5.4 Nearly indestructible buildings -- 5.4.1 The extracellular matrix as a protective shield -- 5.4.2 Differentiation and physiological adaptation -- 5.4.3 The biofilm as a trigger of genetic plasticity in bacteria -- 5.4.4 Quorum-sensing, the social network of bacteria -- 5.4.5 Multispecies biofilms: a successful alliance -- 5.5 How to live with bio lms -- References -- 6. Journey to the centre of biofilms: nature, cohesiveness and functions of the exopolymer matrix -- 6.1 Chemistry of EPS in environmental biofilms -- 6.2 Contribution of EPS to the cohesiveness of biofilms -- 6.3 Reactivity of EPS in biofilms -- 6.3.1 Trapping ions and organics by EPS -- 6.3.2 Hydrolytic enzymes associated with EPS -- 6.3.3 Protection of biofilms against disinfectants -- 6.4 Conclusion -- References. 7. Biofilms in a marine environment: example of intertidal mud flats and metallic port structures -- 7.1 Biofilm life of marine bacteria -- 7.2 Consequences of the establishment of biofilms on human activity in the marine environment -- 7.3 Bacterial communities of two examples of marine biofilms that may have different impacts -- 7.3.1 The biofilms of the intertidal mudflats -- 7.3.2 The biofilms of metallic port structures -- 7.3.3 Interactions within marine biofilms -- 7.4 Conclusion -- References -- 8. Bio lms and management of microbial quality in drinking water supply systems -- 8.1 From treatment plant to the tap: a vast and complex to manage chemical and biological reactor -- 8.2 The water-material interfaces in drinking water distribution systems -- 8.3 Evolution of understanding of the causes for bacterial growth in drinking water distribution systems -- 8.3.1 Biodegradable organic matters -- 8.3.2 Knowledge on biofilms -- 8.4 Controlling biofilms in drinking water distribution systems -- 8.5 Conclusion -- References -- 9. Bio lms in industrial cooling circuits -- 9.1 Introduction -- 9.2 Bio lm and evaporative cooling circuits: health hazard -- 9.2.1 Evaporative cooling circuits -- 9.2.2 Characteristics of biofilms in the circuits -- 9.2.3 Detection and measurement of the biofilm -- 9.2.4 "Risk of Legionella" and the role of biofilm -- 9.2.5 Major health hazard factors -- 9.2.6 "Legionella risk" management strategy -- 9.3 Bio lm in a refrigerated system: the risk of corrosion -- 9.3.1 Cold water piping system -- 9.3.2 Characteristics of biofilms in cold water piping systems -- 9.3.3 Danger due to corrosion induced by microorganisms -- 9.3.4 Major risk factors -- 9.3.5 Corrosion risk management strategy -- 9.4 Conclusion -- References -- Theme 3 Biocorrosion of metallic materials. 10. Electrochemical methods applied to biocorrosion -- 10.1 Introduction -- 10.2 Influence of EPS obtained from Pseudomonas sp. NCIMB 2021 on the corrosion behaviour of 70Cu-30Ni alloy in sea water -- 10.2.1 Experimental methods -- 10.2.2 Results: electrochemical measurements -- 10.2.3 Corrosion mechanism -- 10.2.4 Impedance model -- 10.2.5 Results: corrosion current -- 10.3 Influence of EPS extracted from Desulfovibrio alaskensis on the corrosion behaviour of carbon steel St37-2 in sea water -- 10.3.1 Experimental results -- 10.3.2 Results -- 10.4 Conclusion -- Acknowledgments -- References -- 11. On the iron-sulphur interactions involved in biocorrosion phenomena -- 11.1 Introduction -- 11.2 Marine corrosion of carbon steel -- 11.2.1 Role of the corrosion product layer -- 11.2.2 Description of the corrosion product layer -- 11.3 Corrosion of carbon steel in argillite and corrosion cells associated with heterogeneous corrosion product layers -- 11.3.1 Heterogeneity of the corrosion product layer -- 11.3.2 Galvanic cells and heterogeneity of the corrosion product layer -- 11.4 Conclusion -- References -- Theme 4 Biodeterioration of non-metallic materials -- 12. Biodeterioration of cementitious materials: interactions environment - microorganisms - materials -- 12.1 Introduction -- 12.2 Interactions between the environment and microorganisms -- 12.2.1 Algae and cyanobacteria -- 12.2.2 Fungi -- 12.2.3 Bacteria -- 12.3 Interactions between the environment and cementitious materials -- 12.3.1 Ageing of cementitious materials according to the environment -- 12.3.2 Biocolonization of cementitious materials -- 12.4 Interactions between the environment and cementitious materials: biodeterioration -- 12.4.1 Aesthetic biodeterioration -- 12.4.2 Mechanical biodeterioration -- 12.4.3 Chemical / mechanical biodeterioration. 12.5 Scientific approach to study the biodeterioration of cementitious materials -- 12.5.1 Laboratory tests for aesthetic biodeterioration -- 12.5.2 Laboratory tests for the chemical/mechanical biodeterioration -- 12.6 Conclusion -- References -- 13 Concrete biodeterioration -- 13.1 Introduction -- 13.2 Material biodeterioration, specificities of concrete -- 13.2.1 Chemical specificity -- 13.2.2 Physics specificities -- 13.2.3 Specificity of the study of the actual biodeterioration of concrete -- 13.3 Generic biodeterioration process -- 13.4 Measurement of concrete biodeterioration -- 13.4.1 Physical Properties -- 13.4.2 Chemical properties -- 13.5 Improvement of concrete strength -- 13.5.1 Concrete composition -- 13.5.2 Implementation -- 13.6 Differences between chemical attack and biological attack -- 13.7 Conclusion -- References -- 14. Biodeterioration of cementitious materials in sewage structures -- 14.1 Introduction -- 14.2 How does biodeterioration manifest itself in sewage and wastewater structures? -- 14.3 Hydrogen sulphide: the main vector of biodeterioration phenomenon in sewage structures -- 14.4 Impact of biodeterioration on cement materials -- 14.4.1 Influence of the chemical composition of the cement material on its durability in sewage systems -- 14.4.2 Polymer coatings as protection for cement materials in sewage and wastewater systems -- 14.5 Tests in situ for the study of the biodeterioration phenomenon in sewage and wastewater systems -- 14.5.1 Exposure in South Africa, the Virginia Experimental Sewer -- 14.5.2 Exposure in Japan, Hokkaido university -- 14.5.3 Exposure in France, Ifsttar -- 14.6 Conclusion -- References -- 15. Biodeterioration of cultural properties -- 15.1 Introduction -- 15.2 Microorganisms involved in the biodeterioration of cultural property -- 15.2.1 Microscopic fungi. 15.2.2 Basidiomycetes. Feugeas, Françoise Tribollet, Bernard https://cds.cern.ch/auth.py?r=EBLIB_P_5630493 ebook ebook XX SzGeCERN EBL201903 BOOK n 201911 201903 21 PUBLIC BOOK DELETED 2667814 SzGeCERN 20210421202727.0 9781789959918 1789959918 9781789959208 oai:cds.cern.ch:2667814 cerncds:BOOK SAFARI 9781789959208 eng QA76.9.D343 .K546 2018 006.312 Kienzler, Romeo Apache Spark 2 master complex big data processing, stream analytics, and machine learning with Apache Spark Birmingham Packt Publishing 2018 604 p ebook Cover -- Title Page -- Copyright -- About Packt -- Contributors -- Table of Contents -- Preface -- Chapter 1: A First Taste and What's New in Apache Spark V2 -- Spark machine learning -- Spark Streaming -- Spark SQL -- Spark graph processing -- Extended ecosystem -- What's new in Apache Spark V2? -- Cluster design -- Cluster management -- Local -- Standalone -- Apache YARN -- Apache Mesos -- Cloud-based deployments -- Performance -- The cluster structure -- Hadoop Distributed File System -- Data locality -- Memory -- Coding -- Cloud -- Summary -- Chapter 3: Apache Spark Streaming -- Overview -- Errors and recovery -- Checkpointing -- Streaming sources -- TCP stream -- File streams -- Flume -- Kafka -- Summary -- Chapter 4: Structured Streaming -- The concept of continuous applications -- True unification - same code, same engine -- Windowing -- How streaming engines use windowing -- How Apache Spark improves windowing -- Increased performance with good old friends -- How transparent fault tolerance and exactly-once delivery guarantee is achieved -- Replayable sources can replay streams from a given offset -- Idempotent sinks prevent data duplication -- State versioning guarantees consistent results after reruns -- Example - connection to a MQTT message broker -- Controlling continuous applications -- More on stream life cycle management -- Summary -- Chapter 5: Apache Spark MLlib -- Architecture -- The development environment -- Classification with Naive Bayes -- Theory on Classification -- Naive Bayes in practice -- Clustering with K-Means -- Theory on Clustering -- K-Means in practice -- Artificial neural networks -- ANN in practice -- Summary -- Chapter 6: Apache SparkML -- What does the new API look like? -- The concept of pipelines -- Transformers -- String indexer -- OneHotEncoder -- VectorAssembler -- Pipelines -- Estimators. RandomForestClassifier -- Model evaluation -- CrossValidation and hyperparameter tuning -- CrossValidation -- Hyperparameter tuning -- Winning a Kaggle competition with Apache SparkML -- Data preparation -- Feature engineering -- Testing the feature engineering pipeline -- Training the machine learning model -- Model evaluation -- CrossValidation and hyperparameter tuning -- Using the evaluator to assess the quality of the cross-validated and tuned model -- Summary -- Chapter 7: Apache SystemML -- Why do we need just another library? -- Why on Apache Spark? -- The history of Apache SystemML -- A cost-based optimizer for machine learning algorithms -- An example - alternating least squares -- ApacheSystemML architecture -- Language parsing -- High-level operators are generated -- How low-level operators are optimized on -- Performance measurements -- Apache SystemML in action -- Summary -- Chapter 8: Apache Spark GraphX -- Overview -- Graph analytics/processing with GraphX -- The raw data -- Creating a graph -- Example 1 - counting -- Example 2 - filtering -- Example 3 - PageRank -- Example 4 - triangle counting -- Example 5 - connected components -- Summary -- Chapter 9: Spark Tuning -- Monitoring Spark jobs -- Spark web interface -- Jobs -- Stages -- Storage -- Environment -- Executors -- SQL -- Visualizing Spark application using web UI -- Observing the running and completed Spark jobs -- Debugging Spark applications using logs -- Logging with log4j with Spark -- Spark configuration -- Spark properties -- Environmental variables -- Logging -- Common mistakes in Spark app development -- Application failure -- Slow jobs or unresponsiveness -- Optimization techniques -- Data serialization -- Memory tuning -- Memory usage and management -- Tuning the data structures -- Serialized RDD storage -- Garbage collection tuning -- Level of parallelism. Broadcasting -- Data locality -- Summary -- Chapter 10: Testing and Debugging Spark -- Testing in a distributed environment -- Distributed environment -- Issues in a distributed system -- Challenges of software testing in a distributed environment -- Testing Spark applications -- Testing Scala methods -- Unit testing -- Testing Spark applications -- Method 1: Using Scala JUnit test -- Method 2: Testing Scala code using FunSuite -- Method 3: Making life easier with Spark testing base -- Configuring Hadoop runtime on Windows -- Debugging Spark applications -- Logging with log4j with Spark recap -- Debugging the Spark application -- Debugging Spark application on Eclipse as Scala debug -- Debugging Spark jobs running as local and standalone mode -- Debugging Spark applications on YARN or Mesos cluster -- Debugging Spark application using SBT -- Summary -- Chapter 11: Practical Machine Learning with Spark Using Scala -- Introduction -- Apache Spark -- Machine learning -- Scala -- Software versions and libraries used in this book -- Configuring IntelliJ to work with Spark and run Spark ML sample codes -- Getting ready -- How to do it... -- There's more... -- See also -- Running a sample ML code from Spark -- Getting ready -- How to do it... -- Identifying data sources for practical machine learning -- Getting ready -- How to do it... -- See also -- Running your first program using Apache Spark 2.0 with the IntelliJ IDE -- How to do it... -- How it works... -- There's more... -- See also -- How to add graphics to your Spark program -- How to do it... -- How it works... -- There's more... -- See also -- Chapter 12: Spark's Three Data Musketeers for Machine Learning - Perfect Together -- Introduction -- RDDs - what started it all... -- DataFrame - a natural evolution to unite API and SQL via a high-level API -- Dataset - a high-level unifying Data API. Creating RDDs with Spark 2.0 using internal data sources -- How to do it... -- How it works... -- Creating RDDs with Spark 2.0 using external data sources -- How to do it... -- How it works... -- There's more... -- See also -- Transforming RDDs with Spark 2.0 using the filter() API -- How to do it... -- How it works... -- There's more... -- See also -- Transforming RDDs with the super useful flatMap() API -- How to do it... -- How it works... -- There's more... -- See also -- Transforming RDDs with set operation APIs -- How to do it... -- How it works... -- See also -- RDD transformation/aggregation with groupBy() and reduceByKey() -- How to do it... -- How it works... -- There's more... -- See also -- Transforming RDDs with the zip() API -- How to do it... -- How it works... -- See also -- Join transformation with paired key-value RDDs -- How to do it... -- How it works... -- There's more... -- Reduce and grouping transformation with paired key-value RDDs -- How to do it... -- How it works... -- See also -- Creating DataFrames from Scala data structures -- How to do it... -- How it works... -- There's more... -- See also -- Operating on DataFrames programmatically without SQL -- How to do it... -- How it works... -- There's more... -- See also -- Loading DataFrames and setup from an external source -- How to do it... -- How it works... -- There's more... -- See also -- Using DataFrames with standard SQL language - SparkSQL -- How to do it... -- How it works... -- There's more... -- See also -- Working with the Dataset API using a Scala Sequence -- How to do it... -- How it works... -- There's more... -- See also -- Creating and using Datasets from RDDs and back again -- How to do it... -- How it works... -- There's more... -- See also -- Working with JSON using the Dataset API and SQL together -- How to do it... -- How it works... -- There's more... See also -- Functional programming with the Dataset API using domain objects -- How to do it... -- How it works... -- There's more... -- See also -- Chapter 13: Common Recipes for Implementing a Robust Machine Learning System -- Introduction -- Spark's basic statistical API to help you build your own algorithms -- How to do it... -- How it works... -- There's more... -- See also -- ML pipelines for real-life machine learning applications -- How to do it... -- How it works... -- There's more... -- See also -- Normalizing data with Spark -- How to do it... -- How it works... -- There's more... -- See also -- Splitting data for training and testing -- How to do it... -- How it works... -- There's more... -- See also -- Common operations with the new Dataset API -- How to do it... -- How it works... -- There's more... -- See also -- Creating and using RDD versus DataFrame versus Dataset from a text file in Spark 2.0 -- How to do it... -- How it works... -- There's more... -- See also -- LabeledPoint data structure for Spark ML -- How to do it... -- How it works... -- There's more... -- See also -- Getting access to Spark cluster in Spark 2.0 -- How to do it... -- How it works... -- There's more... -- See also -- Getting access to Spark cluster pre-Spark 2.0 -- How to do it... -- How it works... -- There's more... -- See also -- Getting access to SparkContext vis-a-vis SparkSession object in Spark 2.0 -- How to do it... -- How it works... -- There's more... -- See also -- New model export and PMML markup in Spark 2.0 -- How to do it... -- How it works... -- There's more... -- See also -- Regression model evaluation using Spark 2.0 -- How to do it... -- How it works... -- There's more... -- See also -- Binary classification model evaluation using Spark 2.0 -- How to do it... -- How it works... -- There's more... -- See also. Multiclass classification model evaluation using Spark 2.0. Apache Spark is an in-memory, cluster-based data processing system that provides a wide range of functionalities such as big data processing, analytics, machine learning, and more. SAF201904 EBLlink deleted XX SzGeCERN EBL Big data EBL Electronic data processing-Distributed processing-Management BOOK Karim, Rezaul Alla, Sridhar Amirghodsi, Siamak Rajendran, Meenakshi Hall, Broderick Mei, Shuen https://learning.oreilly.com/library/view/-/9781789959208/?ar ebook n 201911 201903 21 PUBLIC https://catalogue.library.cern/legacy/2667814 BOOK MIGRATED 2667783 SzGeCERN 20210421202731.0 9781787544734 electronic version electronic version 9781787544741 electronic version electronic version 9781787544741 print version oai:cds.cern.ch:2667783 cerncds:BOOK EBL 5511103 eng HD58.7-58.95 658.4022071 Johnston, Joan Building intelligent tutoring systems for teams what matters Bingley Emerald Publishing 2018 338 p ebook Research on managing groups and teams 19 Front Cover -- Building Intelligent Tutoring Systems for Teams: What Matters -- Copyright Page -- Contents -- List of Contributors -- Introduction -- Examining Challenges and Approaches to Building Intelligent Tutoring Systems for Teams -- Purpose -- Concepts Defined -- Team Processes -- Fundamental Tutoring Concepts -- Fundamental ITS Concepts -- Learner Modeling -- Domain Modeling -- Pedagogical Modeling and Effectiveness Measures -- Tutor-User Interface -- Team Tutoring Challenges and Approaches -- Acquisition of Individual Learner and Team Interaction Data -- Assessment of Individual Learner and Team States -- Selection and Application of Strategies and Tactics for Effect -- How to Use This Book -- References -- Part I. Concepts For Understanding Team Training -- Team Task Analysis: Considerations and Guidance -- Team Task Analysis - What is It? -- Unique Considerations in Implementing Team Task Analysis -- Consideration 1: Does the Task Require Teamwork? -- Consideration 2. How to Operationalize Teamwork? -- Consideration 3. What Teamwork Components Are Tied to Specific Tasks? -- Consideration 4. Can the Same Rating Indices Be Used as in Traditional Task Analysis? -- Consideration 5. From Whom to Collect Data? -- The Importance of Team Task Analysis to Team-based Intelligent Tutoring Systems -- Concluding Comments -- References -- Macrocognition in Teams and Metacognition: Developing Instructional Strategies for Complex Collaborative Problem Solving -- Macrocognition in Teams Model -- Empirical Base for MITM -- Communication Analysis in Complex Problem Solving -- Metacognitive Prompting in ITSs in Support of Collaborative Problem-solving Training -- Metacognition Theory and Research -- Communication and Conversational Agents in ITSs -- Metacognitive Prompting during the Preparation Stage -- Metacognitive Prompting during the Execution Stage. Metacognitive Prompting during the Reflection Stage -- Summary -- Conclusion -- Acknowledgments -- References -- Defining and Measuring Team Effectiveness in Dynamic Environments and Implications for Team ITS -- Introduction and Background -- Defining Team Effectiveness -- Individual-level Mechanisms -- Team-level Mechanisms -- Dynamical Mechanisms -- Locating Sources of Team Variation and Adaptation within Individual, Team, and Dynamical Mechanisms -- Assessing Team Effectiveness in the Context of the Coordinated System -- Challenges for Team ITS Training from the Dynamic Team Effectiveness Viewpoint -- Conclusion -- Acknowledgments -- References -- Challenges and Propositions for Developing Effective Team Training with Adaptive Tutors -- Team Tutor Challenges -- Proposition 1: Understand Team Dynamics and Development and the Role of Team Leadership -- Team Development Use Case -- Proposition 2: Understand Measures of Team Development -- Attitudes -- Cognitions -- Behaviors -- Proposition 3: Understand Effective Team Training Strategies -- Integrated Training Approach to Team Development -- Information Provision -- Skills Acquisition -- Skills Application -- Instructional Framework -- Conclusions -- References -- Part II. Team Assessment and Feedback -- Team Measurement: Unobtrusive Strategies for Intelligent Tutoring Systems -- Team Measurement: Unobtrusive Strategies for Intelligent Tutoring Systems -- What to Measure within ITS for Teams -- Approach to Developing Unobtrusive Measures -- Developing Indicators of Team Emergent States -- RADSM Step 1: Identify Constructs of Interest -- RADSM Step 2: Develop Construct Indicators -- RADSM Step 3: Identify System-based Information -- RADSM Step 4: Measurement Components -- RADSM Steps 5 and 6: Instantiating and Validating Measures -- Developing Indicators Using Psychophysiological Data. Heart Rate Variability -- Neural Responses -- Eye-tracking -- Continuous Team Assessment and Context Using Proxy Measures -- Identification of Data Sources -- System-wide Sources and Tools -- Local-level Sources -- Addressing Complexity for Quantitative Metrics and Dynamic Feedback -- Conclusions -- References -- Modeling Dynamic Team Interactions for Intelligent Tutoring -- Introduction -- Modeling Techniques -- Computational Psychometrics -- Intelligent Tutoring System Modeling -- Bayesian Knowledge Tracing -- Additive Factors Model and Performance Factors Analysis -- Application of Point Processes Modeling to CPS -- Generalized Intelligent Framework for Tutoring -- Competency Architecture for Learning in Teams -- Conclusions -- Acknowledgments -- Glossary of Acronym Definitions -- References -- Toward Rapid and Predictive Neurodynamic Feedback and Scaffolding for Teams -- Background -- Neurodynamic Information and Organization -- Modeling Team Neurodynamics -- Individual, Shared, and Team Neurodynamic Information -- Team Neurodynamics for Intelligent Tutoring System Feedback and Assessment -- Balancing Feedback, Granularity, Scaffolding, and Contingency -- Predictive Scaffolding -- A Practical Example of the Changing Neurodynamic Organizations of a Healthcare Team -- Glossary of Terms -- Acknowledgments -- References -- Building Intelligent Conversational Tutors and Mentors for Team Collaborative Problem Solving: Guidance from the 2015 Progr... -- Why Focus on Collaborative Problem Solving? -- PISA 2015 Collaborative Problem Solving -- Scoring Open-ended Student Responses with AutoTutor -- Automatic Evaluation of Student Contributions in AutoTutor -- Latent Semantic Analysis (LSA) -- Regular Expressions -- Automatic Generation of Dialogue Moves in AutoTutor -- Discourse Structure of AutoTutor Dialogues. Tutoring versus Collaborative Problem Solving among Peers -- Automated Assessment of Collaborative Problem Solving without and with Agents -- Land Science: Collaborative Learning and Problem Solving of Small Teams with a Mentor -- A Qualitative Analysis of Mentor Speech Acts in Land Science -- State Transition Networks of Speech Acts -- Latent Semantic Analyses (LSA) -- Epistemic Network Analyses -- Matches to Expectations and Misconceptions in Episodic Units -- Designing Agents to Facilitate CPS -- Acknowledgments -- References -- Part III. Team Tutoring Applications -- Intelligent Tutoring for Team Training: Lessons Learned from US Military Research -- Introduction -- From Simulation-Based Training to Intelligent Team Tutoring Systems -- Simulation Foundations for Modern Team Training Systems -- TADMUS and the Transition to Modern Team Training Systems -- Intelligent Tutoring Systems and Intelligent Team Training Systems -- Barriers of Data Collection and Analysis -- Barriers of Measurement and Measures -- Barriers of Theory and Models -- ITTS Exemplars -- Advanced Embedded Training System -- Synthetic Cognition for Operational Team Training -- AWO Trainer -- Benchmarked Experiential System for Training -- Cross-Platform Mission Visualization Tool -- R&D Horizons -- Glossary -- Notes -- References -- Five Lenses on Team Tutor Challenges: A Multidisciplinary Approach -- Introduction -- Three Intelligent Team Tutoring Systems -- Challenges -- The Five Lenses: Research Domains Critical to ITTS Design -- Tutor Engineering -- Learning Sciences -- Science of Teams -- Data Analysis -- Human-Computer Interaction -- Addressing the Challenges with the Five Lenses -- Team Member Interactions -- Tutor Engineering -- Learning Sciences -- Science of Teams -- Data Analysis -- Human-Computer Interaction -- Performance Metrics and Skill Development (PMSD). Tutor Engineering -- Learning Sciences -- Science of Teams -- Data Analysis -- Human-Computer Interaction -- Feedback Design -- Tutor Engineering -- Learning Sciences -- Science of Teams -- Data Analysis -- Human-Computer Interaction -- Tutor Authoring (TA) -- Tutor Engineering -- Learning Sciences -- Science of Teams -- Data Analysis -- Human-Computer Interaction -- Conclusion -- Acknowledgments -- References -- Team Training Is a Go: Team Training for Future Spaceflight -- INTRODUCTION -- Characteristics of Long-Duration Exploration Missions -- Training Retention over the Long-duration -- Pre-mission Training -- Astronaut Candidates -- Pre-assigned and Assigned Mission Training -- Intact Crew Training -- ITSs across Pre-mission Training and Onboard Training -- Training Retention and Skill Decay in Spaceflight -- Long Intervals between Skill Training and Use -- Environmental Threats to Cognitive Functioning -- Retention for Integrated Task and Team Skill Training -- Living and Working Together in the Spaceflight Multi-Team System -- Small Group Living -- Space-to-Ground Coordination -- Team Data made Meaningful -- Integrating Multiple Data Streams -- Designing Vehicle Interfaces for Feedback -- Recommendations for a Spaceflight ITS -- References -- Part IV. Summary -- Considerations in the Design of a Team Tutor -- Introduction -- Design Decisions When Developing a Team Tutor -- Building a Tutor from Scratch or Using Existing Tools -- Team Context and Instructional Goals -- Teamwork Skills -- Team Taskwork -- Collaborative Learning and Collaborative Problem-solving -- Instructional Goals and Design Considerations -- Types of Skill and Team Tutoring Environments -- Types of Tutoring Environments -- Challenges and Barriers to Implementation in Various Environments -- Definition of Measures and Establishing Data Sources -- Technological Challenges. Observing and Acquiring Information about the Team. This volume explores advances in theory, research and technologies needed to advance the state of the art of intelligent tutoring systems (ITSs) for teams. EBL201903 XX SzGeCERN BOOK Sottilare, Robert Sinatra, Anne M Burke, C Shawn https://cds.cern.ch/auth.py?r=EBLIB_P_5511103 ebook n 201911 201903 21 PUBLIC https://catalogue.library.cern/legacy/2667783 BOOK MIGRATED 2667782 SzGeCERN 20210421202731.0 9781787561625 electronic version electronic version 9781787561625 print version 9781787561632 electronic version electronic version oai:cds.cern.ch:2667782 cerncds:BOOK EBL 5495396 eng HD58.7-58.95 658.408 Crowther, David Redefining corporate social responsibility Bingley Emerald Publishing 2018 253 p ebook Developments in corporate governance and responsibility 13 Front Cover -- Redefining Corporate Social Responsibility -- Copyright Page -- Contents -- List of Contributors -- The Need to Reconsider CSR -- Introduction -- Global Warming -- Resource Depletion -- Competition -- The Gaia Hypothesis -- Population -- The Global Compact -- The Advent of Utilitarianism -- Conclusions -- Notes -- References -- Part I Comprehensive Analysis -- Can a Values Reframing of ISO14001:2015 Finally Give Business an Effective Tool to Tackle Climate Change? -- Introduction -- Literature Review -- Schwartz's Value System -- Methodology -- Findings -- Drawing on Power and Conservation Values -- Drawing on Achievement and Self-Direction Values -- Summary and Conclusion -- Notes -- References -- Rethinking Corporate Social Responsibility in Capitalist Neoliberal Times -- Introduction -- The Philosophical Trajectory of CSR -- A Politics of Possibilities for CSR -- Alternative Understandings of CSR -- Neocommunitarianism -- Thinking beyond the 'Capitalisation' of Corporate-Society Relations -- Conclusion -- Notes -- References -- Adoption of Integrated Reporting - An Attempt to Reduce the Gaps between CSR Discourse and Its Implementation -- Introduction -- A Short History of Corporate Reporting - From Corporate Social Responsibility Reports to Integrated Reports -- Research Framework -- Corporate Social Responsibility: Definition, Characterisation, Benefits and Implementation -- CSR - Definition and Characterisation -- CSR - Implementation and Benefits -- IR: Definition, Characterisation, Benefits and Implementation -- IR - Definition and Characterisation -- IR - Implementation and Benefits -- From CSR to IR - Does IR Improve CSR Practice? -- Data Description -- Case Study on IR Adopters -- Findings -- The Gap between CSR Discourse and Its Implementation - Is IR a Vector for the Gap Reduction?. CSR Reporting from Theory to Practice in Integrated Reports -- Final Remarks -- Limitations and Further Research -- Notes -- References -- "Pouring Politics down Our Throats": Political CSR Communication and Consumer Catharsis -- Introduction -- Starbucks Offers to Hire Refugees -- Pepsi Protest Ad -- Political CSR -- Psychoanalytic Repression, Sublimation, and Displacement -- Cathartic Outrage as Defense against Knowledge of Corporate Power -- Conclusion -- References -- The Life and Death of Corporate Social Responsibility -- Introduction: A Historigraphy -- The Birth of Corporate Social Responsibility -- Limiting Liability -- The Death of CSR -- Conclusions -- Notes -- References -- Part II Pragmatic Approaches -- Archaeology and the Symbols of Socially Responsible Communication -- Introduction -- The Challenge of Water -- The Salt Men of Zanjan -- Meeting Stakeholder Expectations -- Conclusions -- Notes -- References -- Traditional Artisans as Stakeholders in CSR: A Rehabilitation Perspective in the Indian Context -- Introduction -- Traditional Artisans under Globalization: Issues and Challenges -- The Global Scenario -- Remaining Contemporarily Relevant: The Tasks Ahead in India -- Goldsmiths -- Blacksmiths -- Carpenters -- Potters -- Sculptors -- Is CSR Helpful for Traditional Artisans? -- The Indian Companies Act, 2013 and CSR -- Mandatory Provisions -- CSR Activities (Under Schedule VII of the Act, Effective from 1 April 2014). -- CSR Spend and Activities of Companies in India -- Issues in Stakeholder Identification -- Business and Society: Stakeholder Theory -- Stakeholder Democracy -- CSV -- and RSC -- Key Attributes and Stakeholder Classes -- Traditional Artisans as Stakeholders -- CSR and Traditional Artisans: Experience and Explorations -- CSR Experience -- Explorations for the Future -- Conclusions -- Notes -- References -- Websites. Reinventing CSR in Nigeria: Understanding Its Meaning and Theories for Effective Application in the Industry -- Introduction -- Meaning of CSR from Global Perspectives -- Legislations on CSR in Nigeria -- Consumer Protection Council Act , LFN -- National Environmental Standards and Regulations Enforcement Agency (NESREA) Act -- Standards Organisation of Nigeria Act of 1990, LFN -- Corporate Social Responsibility Bill (Aborted) -- Economic and Financial Crimes Act 2002, LFN/EFCC (Establishment) Act 2004 -- Corrupt Practices and Other Related Offences Act -- Companies and Allied Matters Act Chapter 59, LFN/Corporate Affairs Commission -- Investments and Securities Decree No 45 of/Securities and Exchange Commission -- Review of the Mainstream Theories of CSR -- Shareholder-Agency Theory -- Stakeholder Theory -- Legitimacy Theory -- Instrumental Theory -- Social Contract Theory -- Conflict Theory -- Green Theory -- Communications Theories -- Conclusions and implications -- References -- How Managers Perceive Internal Corporate Social Responsibility: An Empirical Study of Indonesian Women's Employment -- Introduction -- CSR in Indonesia -- Internal CSR -- Managers' Perception of CSR -- Hypotheses Development -- Methodology -- Finding and Discussion -- Conclusion and Future Research -- References -- The Influence of Corporate Governance and Human Governance towards Corporate Financial Crime: A Conceptual Paper -- Introduction -- Corporate Financial Crime -- Board Characteristics and Corporate Financial Crime -- Personal Characteristics of Directors and Top Management Team -- Human Governance -- Conceptual Framework -- Education Level, Business Degree, Age and Gender -- Education Level -- Business Degree -- Age -- Gender -- Promoted from Outside, Other Field Of Study, University, Military Experience -- Ethnicity and Tenure Length -- Ethnicity. Tenure Length -- Number of Roles and Outside Directors -- Number of Roles of Top Management Team -- Number of Roles of Directors -- Outside Directors -- Human Governance -- Conclusion -- References -- To Blow the Whistle or Not: The Roles of Perceived Organizational Retaliation and Upward Communication Satisfaction in Empl... -- Introduction -- Theoretical Background and Hypotheses -- Defining Whistleblowing -- Perceived Organizational Retaliation to Whistleblowing and Employee Responses to Observed Wrongdoing -- Upward Communication Satisfaction and Employee Responses to Observed Wrongdoing -- Methodology -- Procedure and Sample -- Measures -- Employee Responses to Observed Wrongdoing -- Perceived Organizational Retaliation to Whistleblowing -- Upward Communication Satisfaction -- Data Analyses -- Results -- Discussion -- References. Through a series of studies of aspects of CSR from around the world, this book re-examines the topic though the lenses of various disciplines and cultures. It shows that the subject is much wider than is generally perceived and that CSR is evolving in a way which has not been generally recognized within the academic community. EBL201903 XX SzGeCERN BOOK Seifi, Shahla https://cds.cern.ch/auth.py?r=EBLIB_P_5495396 ebook n 201911 201903 21 PUBLIC https://catalogue.library.cern/legacy/2667782 BOOK MIGRATED 2667656 SzGeCERN 20190517215850.0 9781119001218 electronic version 9781119001195 electronic version EBL 4334741 eng HD30.2 658.40380285 Murray, Dan Tableau your data! fast and easy visual analysis with Tableau software 2nd ed. Hoboken, NJ John Wiley & Sons 2016 714 p Intro -- Titlepage -- Copyright -- About the Author -- About the Technical Editor -- Acknowledgments -- Introduction: Overview of the Book and Technology -- How This Book Is Organized -- Who Should Read This Book? -- Tools You Will Need -- What's on the Companion Website? -- Summary -- Part I: Desktop -- Chapter 1: Creating Visual Analytics with Tableau Desktop -- The Shortcomings of Traditional Information Analysis -- The Business Case for Visual Analysis -- Tableau's Desktop Tools -- Introducing the Tableau Desktop Workspace -- Summary -- Chapter 2: Connecting to Your Data -- Chapter 3: Building Your First Visualization -- Chapter 4: Creating Calculations to Enhance Data -- What Is Aggregation? -- What Are Calculated Fields and Table Calculations? -- Chapter 5: Using Maps to Improve Insight -- New Map Features -- Creating a Standard Map View -- Chapter 6: Developing an Ad Hoc Analysis Environment -- Data Discovery as a Creative Process -- Providing Self-Service Ad Hoc Analysis with Parameters -- Chapter 7: Tips, Tricks, and Timesavers -- Saving Time and Improving Formatting -- Customizing Shapes, Colors, Fonts, and Images -- Advanced Chart Types -- Chapter 8: Bringing It All Together with Dashboards -- How Dashboards Facilitate Analysis and Understanding -- How Tableau Improves the Dashboard-Building Process -- The Wrong Way to Build a Dashboard -- The Right Way to Build a Dashboard -- Building Your First Advanced Dashboard -- Sharing Your Dashboard with Tableau Reader -- Using the Tableau Performance Recorder to Improve Load Speed -- Sharing Dashboards with Tableau Online or Tableau Server -- Chapter 9: Designing for Mobile -- The Physics of Mobile Consumption -- Security Considerations for Mobile Consumption -- Offline Access -- Typical Mobile Usage Patterns -- Design Best Practices for Mobile Consumption -- A Tablet Dashboard Example. Mobile Authoring and Editing -- A Note on Project Elastic -- Chapter 10: Conveying Your Findings with Stories -- Turning Analysis into Insight -- Building a Story -- Formatting Story Points -- Sharing Your Story Point Deck -- Part II: Server -- Chapter 11: Installing Tableau Server -- What's New in Version 9? -- Reasons to Deploy Tableau Server -- Licensing Options for Tableau Server and Tableau Online -- Determining Your Hardware and Software Needs -- New Feature: Persistent Query Cache -- Determining What Kind of Server License to Purchase -- Tableau Server's Architecture -- Sizing the Server Hardware -- Environmental Factors That Can Affect Performance -- Configuring Tableau Server for the First Time -- Security Options -- Managing Ownership Through Hierarchy -- Permissions -- What Is the Data Server? -- When and How to Deploy Server on Multiple Physical Boxes -- Deploying Tableau Server in High Availability Environments -- Leveraging Existing Security with Trusted Authentication -- Deploying Tableau Server in Multi-National Environments -- Tableau Server Performance Recorder -- Performance-Tuning Tactics -- Managing Tableau Server in the Cloud -- Monitoring Activity on Tableau Server -- Editing Server Settings and Monitoring Licensing -- Partner Add-on Toolkits -- Chapter 12: Managing Tableau Server -- Managing Published Dashboards in Tableau Server -- Navigating Tableau Server -- Organizing Reports for Consumption -- Options for Securing Reports -- Improve Efficiency with the Data Server -- Consuming Information in Tableau Server -- Authoring and Editing Reports via Server -- What Is Required to Author Reports on the Web? -- Saving and Exporting via the Web-Tablet Environment -- Sharing Connections, Data Models, and Data Extracts -- Embedding Tableau Reports Securely on the Web -- When Your Reports Are a Piece of a Larger SaaS Offering. Using Trusted Ticket Authentication as an Alternative Single Sign-on Method -- Using Subscriptions to Deliver Reports via E-mail -- Chapter 13: Automating Tableau Server -- Tableau Server's APIs -- What Do tabcmd and tabadmin Do? -- Automating Extracts with the Extract API -- REST API -- Part III: Case Studies -- Chapter 14: Ensuring a Successful Tableau Deployment -- Deploying Tableau-Lessons Learned -- Effective Use of Consultants -- The Tableau User Group at Cigna -- Taking Care of Vizness -- Part IV: Appendixes -- Appendix A: Tableau's Product Ecosystem -- Tableau Desktop -- Tableau Server -- Tableau Online -- Tableau Public -- Tableau Reader -- Tableau Mobile -- Project Elastic -- Power Tools for Tableau -- Appendix B: Supported Data Source Connections -- Windows Connections -- Mac OS X Connections -- Appendix C: Keyboard Shortcuts -- Appendix D: Recommended Hardware Configurations -- Tableau Desktop for Windows: Professional and Personal Editions -- Tableau Desktop for Mac OS X: Professional and Personal Editions -- Virtual Environments -- Tableau Server -- Web Browsers -- Hardware Guidelines -- Tableau Server User Authentication and Security -- Virtual Environments -- Internationalization -- Appendix E: Understanding Tableau Functions -- Organization and Key for Appendix E -- R Integration via Script Functions -- Other Specialized Functions -- Alphabetical Function List-Summary -- Appendix F: Companion Website -- Glossary -- End-User License Agreement. 9781119001195 print version oai:cds.cern.ch:2667656 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4334741 ebook ebook XX SzGeCERN EBL201903 BOOK n 201911 201903 21 PUBLIC BOOK DELETED 2667647 SzGeCERN 20200902225550.0 9780792376057 electronic version electronic version 9780792376057 print version oai:cds.cern.ch:2667647 cerncds:BOOK EBL 3035975 eng QC809.F5 -- E68 2002eb 532/.052 Grimshaw, R Environmental stratified flows Secaucus Kluwer Academic Publishers 2001 293 p Intro -- Contents. https://cds.cern.ch/auth.py?r=EBLIB_P_3035975 ebook ebook EBL Geophysics XX SzGeCERN EBL201903 BOOK n 201911 21 PUBLIC BOOK DELETED 2667641 SzGeCERN 20210421202751.0 9780873897051 electronic version electronic version 9780873897051 print version oai:cds.cern.ch:2667641 cerncds:BOOK EBL 3002649 eng HD30.255 -- .K38 2006eb 658.4/083 Kausek, Joe Environmental management quick and easy creating an effective ISO 14001 EMS in half the time Milwaukee, WI ASQ Quality Press 2006 296 p ebook Intro -- Contents -- CD-ROM Contents -- List of Figures -- Preface -- Part I EMS Overview -- 1 Management Systems Overview -- 2 EMSs and the ISO 14001:2004 Standard -- Part II EMS Design and Deployment -- 3 The Planning Phase -- 4 The Design and Development Phase -- 5 EMS Deployment -- Part III EMS Improvement -- 6 The Improvement Phase -- 7 Conducting EMS Audits -- 8 Moving beyond Compliance -- Notes -- Index. EBL201903 XX SzGeCERN EBL Environmental management BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3002649 ebook n 201911 21 PUBLIC https://catalogue.library.cern/legacy/2667641 BOOK MIGRATED 2667623 SzGeCERN 20191101220452.0 9780873896801 electronic version electronic version 9780873896801 print version oai:cds.cern.ch:2667623 cerncds:BOOK EBL 3002536 eng HD30.28 -- .R4193 2006eb 658.4/012 Reidenbach, R Eric Competing for customers and winning with value breakthrough strategies for market dominance Milwaukee, WI ASQ Quality Press 2005 213 p Intro -- Contents -- List of Tables and Figures -- Preface -- Introduction -- Part I: The Competitive Foundation -- 1 Planning for Competition -- 2 The Value Advantage -- 3 Growing Market Share with Value: Customer Acquisition -- 4 Growing Market Share with Value: Customer Retention -- Part II: The Competitive Planning Process -- 5 Choosing Where to Compete -- 6 What is the Organization's Current Value Proposition? -- 7 What Does the Organization Want Its Competitive Value Proposition to Be? -- 8 How Does the Organization Manage Its Value Proposition? -- 9 The Value-Strategy- Process Linkage -- 10 Monitoring Plan Effectiveness -- Part III: Competitive Planning Deployment -- 11 Fourteen Keys to Successful Deployment -- 12 Competing for Customers -- Appendix A Technical Notes on Value Measurement -- Appendix B Environmental Trend Analysis -- Appendix C Competitive Market Planning Forms -- Insert Product/Market: Customer Value Management Strategy Development Team -- Glossary -- References -- Index. Goeke, Reginald W https://cds.cern.ch/auth.py?r=EBLIB_P_3002536 ebook ebook XX SzGeCERN EBL201903 BOOK n 201911 21 PUBLIC BOOK DELETED 2667533 SzGeCERN 20190319205855.0 DOI JACoW 10.18429/JACoW-IPAC2018-WEPAF067 oai:inspirehep.net:1690586 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d 2019-03-19T05:00:10Z marcxml oai:inspirehep.net:1690586 2019-03-18T13:38:24Z Inspire 1690586 eng Gayde, Jean-Christophe INSPIRE-00204139 JACoW-00054260 CERN JACoW Alignment and Monitoring Systems for Accelerators and Experiments Based on BCAM - First Results and Benefits of Systems Developed for ATLAS, LHCb and HIE-ISOLDE 2018 3 p JACoW In the last few years alignment and monitoring systems based on BCAM* cameras active sensors, or their HBCAM evolution, have been developed at the request of the Technical Coordination of LHC experiments and HIE-ISOLDE facility Project Leader. ADEPO (ATLAS DEtector POsition) has been designed to speed up the precise closure - 0.3 mm - of large detector parts representing in total ~2500 tons. For LHCb a system has been studied and installed to monitor the positions of the Inner Tracker stations during the LHCb dipole magnet cycles. The MATHILDE (Monitoring and Alignment Tracking for HIE-ISOLDE) system has been developed to fulfil the alignment and monitoring needs for components of the LINAC enclosed in successive Cryo-Modules. These systems have been in each case configured and adapted to the objectives and environmental conditions: low space for integration; presence of magnetic fields; exposure to non-standard environmental conditions such as high vacuum and cryogenic temperatures. After a short description of the different systems and of the environmental constraints, this paper summarizes their first results, performances and their added value. CC-BY-3.0 JACoW http://creativecommons.org/licenses/by/3.0/ SzGeCERN Accelerators and Storage Rings JACoW detector JACoW alignment JACoW monitoring JACoW ISOL JACoW target CERN CERN LHC LHCb CERN LHC ATLAS CERN HIE ISOLDE Blanc, Frederic INSPIRE-00067348 JACoW-00069911 ORCID:0000-0001-5775-3132 Ecole Polytechnique, Lausanne Di Girolamo, Beniamino INSPIRE-00085048 JACoW-00036209 ORCID:0000-0001-6929-8229 CERN Kadi, Yacine JACoW-00004380 yacine.kadi@cern.ch CERN Kautzmann, Guillaume JACoW-00074650 guillaume.kautzmann@cern.ch CERN Klumb, Francis JACoW-00089042 francis.klumb@cern.ch CERN Lindner, Rolf INSPIRE-00101983 JACoW-00104082 CERN Mergelkuhl, Dirk JACoW-00052170 dirk.mergelkuhl@cern.ch CERN Pontecorvo, Ludovico INSPIRE-00222031 JACoW-00104081 ORCID:0000-0003-2284-3765 CERN Raymond, Michel INSPIRE-00222353 JACoW-00094683 CERN Sainvitu, Pascal JACoW-00104080 pascal.sainvitu@cern.ch CERN Stefko, Pavol JACoW-00104085 pavol.stefko@epfl.ch Ecole Polytechnique, Lausanne Thomas, Eric INSPIRE-00260424 JACoW-00104084 CERN WEPAF067 IPAC2018 C18-04-29 2018 1469524 307454 http://cds.cern.ch/record/2667533/files/wepaf067.pdf 13 2317451 vancouver20180429 WEPAF067 ARTICLE ConferencePaper 0-1-0-1-0-0-1 2018-08-24 12:47:10 Invenio/1.1.2.1260-aa76f refextract/1.5.44 content.pdf;1 BCAM 1 http://alignment.hep.brandeis.edu M. Raymond et al. Summary of requirements for ATLAS Detector Positioning System, ATL-HT-ES-0001, Geneva, CERN 2 F. Lackner Dissertation TU Vienna, Austria 3 Design and High Precision Monitoring of Detector Structures at CERN 2007 K. Jacobsen Univ. Hanover, Germany 4 Block Adjustment. Institute for Photogrammetry and Surveying Engineering 2002 M. Daakir ENSG,, Champs-sur-Marne, France 5 Analyse fonctionnelle du futur système de repositionnement pour les fermetures de l’expérience ATLAS 2013 J. C. Gayde, D. Mergelkuhl et al. IWAA’16, Grenoble, France 6 The ATLAS Detector Positioning System (ADEPO) to control moving parts during ATLAS closure 2016 796248 A. A. Alves Jr. et al. LHCb collaboration The LHCb detector at the LHC 7 JINST,3,S08005 2008 Sébastien Guillaume, personal communication, Mathematical and Physical Geodesy group, ETHZ, Zurich,, unpublished 8 2014 G. Kautzmann, J.C. Gayde et al. IWAA’14, Beijing 9 HIE-ISOLDE - General presentation of MATHILDE 2014 G. Kautzmann, J. C. Gayde and F. Klumb in Proc. IWAA’16, Grenoble 10 HIE-ISOLDE - Commissioning and first results of the MATHILDE system monitoring the positions of cavities and solenoids inside Cryomodules 2016 CURATOR F. Klumb, G. Kautzmann and J. C. Gayde “MATHIS Soft- ware for controlling BCAM-based monitoring and alignment systems”, IWAA’16, Grenoble, 2016. 11 2666993 20260210071201.0 DOI APS 10.1103/PhysRevA.99.033405 DOI arXiv 10.1103/PhysRevA.99.033405 publication oai:cds.cern.ch:2666993 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:1808.01808 oai:inspirehep.net:1724031 https://inspirehep.net/api/oai2d Inspire 2026-02-09T11:11:08Z 2026-02-10T03:01:25Z marcxml true Inspire 1724031 arXiv arXiv:1808.01808 physics.atom-ph eng Amsler, C. ROR:https://ror.org/05kdjqf72 Stefan Meyer Inst. Subatomare Phys. Stefan Meyer Institute for Subatomic Physics, Austrian Academy of Sciences , Boltzmanngasse 3, 1090 Vienna, Austria APS Velocity-selected production of 2$^3$S metastable positronium 2019-03-05 2018-08-06 6 p arXiv 6 pages, 3 figures, 1 table APS Positronium in the 2S3 metastable state exhibits a low electrical polarizability and a long lifetime (1140 ns), making it a promising candidate for interferometry experiments with a neutral matter-antimatter system. In the present work, 2S3 positronium is produced, in the absence of an electric field, via spontaneous radiative decay from the 3P3 level populated with a 205-nm UV laser pulse. Thanks to the short temporal length of the pulse, 1.5 ns full width at half maximum, different velocity populations of a positronium cloud emitted from a nanochanneled positron-positronium converter were selected by delaying the excitation pulse with respect to the production instant. 2S3 positronium atoms with velocity tuned between 7×104ms−1 and 10×104ms−1 were thus produced. Depending on the selected velocity, a 2S3 production efficiency ranging from ∼0.8% to ∼1.7%, with respect to the total amount of emitted positronium, was obtained. The observed results give a branching ratio for the 3P3-2S3 spontaneous decay of (9.7±2.7)%. The present velocity selection technique could allow one to produce an almost monochromatic beam of ∼1×1032S3 atoms with a velocity spread of <104ms−1 and an angular divergence of ∼50 mrad. arXiv Positronium in the $2^3S$ metastable state exhibits a low electrical polarizability and a long lifetime (1140 ns) making it a promising candidate for interferometry experiments with a neutral matter-antimatter system. In the present work, $2^3S$ positronium is produced - in absence of electric field - via spontaneous radiative decay from the $3^3P$ level populated with a 205nm UV laser pulse. Thanks to the short temporal length of the pulse, 1.5 ns full-width at half maximum, different velocity populations of a positronium cloud emitted from a nanochannelled positron/positronium converter were selected by delaying the excitation pulse with respect to the production instant. $ 2^3S $ positronium atoms with velocity tuned between $ 7 \cdot 10^4 $ m/s and $ 10 \cdot 10^4 $ m/s were thus produced. Depending on the selected velocity, a $2^3S$ production effciency ranging from $\sim 0.8 \%$ to $\sim 1.7%$, with respect to the total amount of emitted positronium, was obtained. The observed results give a branching ratio for the $3^3P$-$2^3S$ spontaneous decay of $(9.7 \pm 2.7) \% $. The present velocity selection technique could allow to produce an almost monochromatic beam of $\sim 1 \cdot 10^3 $ $2^3S$ atoms with a velocity spread $ < 10^4 $ m/s and an angular divergence of $\sim$ 50 mrad. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ authors 2019 Publication physics.atom-ph arXiv Other Fields of Physics SzGeCERN CERN ARTICLE CERN AEgIS Antonello, M. ROR:https://ror.org/04w4m6z96 INFN, Milan Insubria U., Como INFN , Sezione di Milano, Via Celoria 16, 20133 Milano, Italy Department of Science and High Technology, University of Insubria , Via Valleggio 11, 22100 Como, Italy Belov, A. ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Science , Moscow 117312, Russia Bonomi, G. ROR:https://ror.org/01st30669 Brescia U. INFN, Pavia Department of Mechanical and Industrial Engineering, University of Brescia , Via Branze 38, 25123 Brescia, Italy INFN Pavia , Via Bassi 6, 27100 Pavia, Italy Brusa, R.S. ROR:https://ror.org/00nhs3j29 Trento U. TIFPA-INFN, Trento Department of Physics, University of Trento , Via Sommarive 14, 38123 Povo, Trento, Italy TIFPA/INFN Trento , Via Sommarive 14, 38123 Povo, Trento, Italy Caccia, M. ROR:https://ror.org/04w4m6z96 INFN, Milan Insubria U., Como INFN , Sezione di Milano, Via Celoria 16, 20133 Milano, Italy Department of Science and High Technology, University of Insubria , Via Valleggio 11, 22100 Como, Italy Camper, A. ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Caravita, R. INSPIRE-00582911 ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Castelli, F. ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/00wjc7c48 INFN, Milan Milan U. INFN , Sezione di Milano, Via Celoria 16, 20133 Milano, Italy Department of Physics “Aldo Pontremoli”, Università degli Studi di Milano , Via Celoria 16, 20133 Milano, Italy Cerchiari, G. ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max Planck Institute for Nuclear Physics , Saupfercheckweg 1, 69117 Heidelberg, Germany Comparat, D. LAC, Orsay Laboratoire Aimé Cotton, Université Paris-Sud , ENS Paris Saclay, CNRS, Université Paris-Saclay, 91405 Orsay Cedex, France Consolati, G. ROR:https://ror.org/04w4m6z96 Milan Polytechnic INFN, Milan Department of Aerospace Science and Technology , Politecnico di Milano, Via La Masa 34, 20156 Milano, Italy INFN , Sezione di Milano, Via Celoria 16, 20133 Milano, Italy Demetrio, A. ROR:https://ror.org/038t36y30 Kirchhoff Inst. Phys. Kirchhoff-Institute for Physics, Heidelberg University , Im Neuenheimer Feld 227, 69120 Heidelberg, Germany Di Noto, L. ROR:https://ror.org/0107c5v14 ROR:https://ror.org/02v89pq06 Genoa U. INFN, Genoa Department of Physics, University of Genova , Via Dodecaneso 33, 16146 Genova, Italy INFN Genova , Via Dodecaneso 33, 16146 Genova, Italy Doser, M. ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Fanì, M. ORCID:0000-0002-4284-9614 ROR:https://ror.org/0107c5v14 ROR:https://ror.org/02v89pq06 ROR:https://ror.org/01ggx4157 Genoa U. INFN, Genoa CERN Department of Physics, University of Genova , Via Dodecaneso 33, 16146 Genova, Italy INFN Genova , Via Dodecaneso 33, 16146 Genova, Italy Physics Department , CERN, 1211 Geneva 23, Switzerland Gerber, S. ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Gligorova, A. ROR:https://ror.org/05kdjqf72 Stefan Meyer Inst. Subatomare Phys. Stefan Meyer Institute for Subatomic Physics, Austrian Academy of Sciences , Boltzmanngasse 3, 1090 Vienna, Austria Guatieri, F. ROR:https://ror.org/00nhs3j29 Trento U. TIFPA-INFN, Trento Department of Physics, University of Trento , Via Sommarive 14, 38123 Povo, Trento, Italy TIFPA/INFN Trento , Via Sommarive 14, 38123 Povo, Trento, Italy Hackstock, P. ROR:https://ror.org/05kdjqf72 Stefan Meyer Inst. Subatomare Phys. Stefan Meyer Institute for Subatomic Physics, Austrian Academy of Sciences , Boltzmanngasse 3, 1090 Vienna, Austria Haider, S. ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Hinterberger, A. ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Holmestad, H. ROR:https://ror.org/01xtthb56 Oslo U. Department of Physics, University of Oslo , Sem Saelandsvei 24, 0371 Oslo, Norway Kellerbauer, A. ROR:https://ror.org/01vhnrs90 Heidelberg, Max Planck Inst. Astron. Max Planck Institute for Nuclear Physics , Saupfercheckweg 1, 69117 Heidelberg, Germany Khalidova, O. ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Krasnický, D. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Genova , Via Dodecaneso 33, 16146 Genova, Italy Lagomarsino, V. ROR:https://ror.org/0107c5v14 ROR:https://ror.org/02v89pq06 Genoa U. INFN, Genoa Department of Physics, University of Genova , Via Dodecaneso 33, 16146 Genova, Italy INFN Genova , Via Dodecaneso 33, 16146 Genova, Italy Lansonneur, P. ROR:https://ror.org/02avf8f85 Lyon, IPN Institute of Nuclear Physics, CNRS/IN2p3, University of Lyon 1 , 69622 Villeurbanne, France Lebrun, P. ROR:https://ror.org/02avf8f85 Lyon, IPN Institute of Nuclear Physics, CNRS/IN2p3, University of Lyon 1 , 69622 Villeurbanne, France Malbrunot, C. ROR:https://ror.org/01ggx4157 ROR:https://ror.org/05kdjqf72 CERN Stefan Meyer Inst. Subatomare Phys. Physics Department , CERN, 1211 Geneva 23, Switzerland Stefan Meyer Institute for Subatomic Physics, Austrian Academy of Sciences , Boltzmanngasse 3, 1090 Vienna, Austria Mariazzi, S. mariazzi@science.unitn.it ROR:https://ror.org/00nhs3j29 Trento U. TIFPA-INFN, Trento Department of Physics, University of Trento , Via Sommarive 14, 38123 Povo, Trento, Italy TIFPA/INFN Trento , Via Sommarive 14, 38123 Povo, Trento, Italy Matveev, V. ROR:https://ror.org/01a1xfd09 ROR:https://ror.org/044yd9t77 Moscow, INR Dubna, JINR Institute for Nuclear Research of the Russian Academy of Science , Moscow 117312, Russia Joint Institute for Nuclear Research , Dubna 141980, Russia Müller, S.R. ROR:https://ror.org/038t36y30 Kirchhoff Inst. Phys. Kirchhoff-Institute for Physics, Heidelberg University , Im Neuenheimer Feld 227, 69120 Heidelberg, Germany Nebbia, G. ROR:https://ror.org/00z34yn88 INFN, Padua INFN Padova , Via Marzolo 8, 35131 Padova, Italy Nedelec, P. ROR:https://ror.org/02avf8f85 Lyon, IPN Institute of Nuclear Physics, CNRS/IN2p3, University of Lyon 1 , 69622 Villeurbanne, France Oberthaler, M. ROR:https://ror.org/038t36y30 Kirchhoff Inst. Phys. Kirchhoff-Institute for Physics, Heidelberg University , Im Neuenheimer Feld 227, 69120 Heidelberg, Germany Pagano, D. ROR:https://ror.org/01st30669 Brescia U. INFN, Pavia Department of Mechanical and Industrial Engineering, University of Brescia , Via Branze 38, 25123 Brescia, Italy INFN Pavia , Via Bassi 6, 27100 Pavia, Italy Penasa, L. ROR:https://ror.org/00nhs3j29 Trento U. TIFPA-INFN, Trento Department of Physics, University of Trento , Via Sommarive 14, 38123 Povo, Trento, Italy TIFPA/INFN Trento , Via Sommarive 14, 38123 Povo, Trento, Italy Petracek, V. ROR:https://ror.org/03kqpb082 Prague, Tech. U. Czech Technical University , Prague, Brehová 7, 11519 Prague 1, Czech Republic Prelz, F. ROR:https://ror.org/04w4m6z96 INFN, Milan INFN , Sezione di Milano, Via Celoria 16, 20133 Milano, Italy Prevedelli, M. ROR:https://ror.org/01111rn36 Bologna U. University of Bologna , Viale Berti Pichat 6/2, 40126 Bologna, Italy Rienaecker, B. ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Robert, J. LAC, Orsay Laboratoire Aimé Cotton, Université Paris-Sud , ENS Paris Saclay, CNRS, Université Paris-Saclay, 91405 Orsay Cedex, France Røhne, O.M. ROR:https://ror.org/01xtthb56 Oslo U. Department of Physics, University of Oslo , Sem Saelandsvei 24, 0371 Oslo, Norway Rotondi, A. ROR:https://ror.org/01st30669 ROR:https://ror.org/00s6t1f81 INFN, Pavia Pavia U. INFN Pavia , Via Bassi 6, 27100 Pavia, Italy Department of Physics, University of Pavia , Via Bassi 6, 27100 Pavia, Italy Sandaker, H. ROR:https://ror.org/01xtthb56 Oslo U. Department of Physics, University of Oslo , Sem Saelandsvei 24, 0371 Oslo, Norway Santoro, R. ROR:https://ror.org/04w4m6z96 INFN, Milan Insubria U., Como INFN , Sezione di Milano, Via Celoria 16, 20133 Milano, Italy Department of Science and High Technology, University of Insubria , Via Valleggio 11, 22100 Como, Italy Smestad, L. ROR:https://ror.org/01ggx4157 CERN Res. Council, Norway Physics Department , CERN, 1211 Geneva 23, Switzerland The Research Council of Norway , P.O. Box 564, 1327 Lysaker, Norway Sorrentino, F. ROR:https://ror.org/0107c5v14 ROR:https://ror.org/02v89pq06 Genoa U. INFN, Genoa Department of Physics, University of Genova , Via Dodecaneso 33, 16146 Genova, Italy INFN Genova , Via Dodecaneso 33, 16146 Genova, Italy Testera, G. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Genova , Via Dodecaneso 33, 16146 Genova, Italy Tietje, I.C. ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Widmann, E. ROR:https://ror.org/05kdjqf72 Stefan Meyer Inst. Subatomare Phys. Stefan Meyer Institute for Subatomic Physics, Austrian Academy of Sciences , Boltzmanngasse 3, 1090 Vienna, Austria Yzombard, P. ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max Planck Institute for Nuclear Physics , Saupfercheckweg 1, 69117 Heidelberg, Germany Zimmer, C. ROR:https://ror.org/01ggx4157 ROR:https://ror.org/052d0h423 ROR:https://ror.org/038t36y30 CERN Heidelberg, Max Planck Inst. Heidelberg U. Physics Department , CERN, 1211 Geneva 23, Switzerland Max Planck Institute for Nuclear Physics , Saupfercheckweg 1, 69117 Heidelberg, Germany Department of Physics, Heidelberg University , Im Neuenheimer Feld 226, 69120 Heidelberg, Germany Zurlo, N. ROR:https://ror.org/01st30669 INFN, Pavia Brescia U. INFN Pavia , Via Bassi 6, 27100 Pavia, Italy Department of Civil, Environmental, Architectural Engineering and Mathematics, University of Brescia , Via Branze 43, 25123 Brescia, Italy AEgIS Collaboration 033405 publication 3 Phys. Rev. A 99, 033405 (2019) 2019 Phys. Rev. A 99 2216295 87611 http://cds.cern.ch/record/2666993/files/Fig2d.png 00002 Average of 200 SSPALS spectra of Ps in vacuum with UV laser off (blue) and on (red), normalized to the peak height. The potential on the focusing electrode is also shown (dashed line). The arrow marks the laser pulse instant (here \SI{20}{\nano\second} after the peak) and the vertical lines delimit the area used to conduct the detrending analysis of the $S$ parameter shown in the inset (see text and \cite{aegis_meta:18}). Full circles and empty squares are the detrended areas with/ without laser (i.e. $ {\Area_\on}^i $ and $ {\Area_\off}^i $). The sideways Gaussian curves are the distributions of $ {\Area_\on}^i $ (red) and $ {\Area_\off}^i $ (blue). 2216296 67359 http://cds.cern.ch/record/2666993/files/Fig3b.png 00000 $ -S $ parameter as a function of the time elapsed from the prompt peak for different UV laser delays (20, 35, 50 and 65 \si{\nano\second}). The $ -S $ parameter was calculated using time windows of \SI{300}{\nano\second} in steps of \SI{50}{\nano\second}. The continuous lines are the Monte Carlo best fits (see text) of the $ -S $ parameter. The weak signal at \SI{65}{\nano\second} does not allow to perform a reliable fit. 2216297 24052 http://cds.cern.ch/record/2666993/files/Fig3c.png 00001 $ -S $ parameter as a function of the time elapsed from the prompt peak for different UV laser delays (20, 35, 50 and 65 \si{\nano\second}). The $ -S $ parameter was calculated using time windows of \SI{300}{\nano\second} in steps of \SI{50}{\nano\second}. The continuous lines are the Monte Carlo best fits (see text) of the $ -S $ parameter. The weak signal at \SI{65}{\nano\second} does not allow to perform a reliable fit. 2216298 466518 http://cds.cern.ch/record/2666993/files/Fig2c.png 00001 Average of 200 SSPALS spectra of Ps in vacuum with UV laser off (blue) and on (red), normalized to the peak height. The potential on the focusing electrode is also shown (dashed line). The arrow marks the laser pulse instant (here \SI{20}{\nano\second} after the peak) and the vertical lines delimit the area used to conduct the detrending analysis of the $S$ parameter shown in the inset (see text and \cite{aegis_meta:18}). Full circles and empty squares are the detrended areas with/ without laser (i.e. $ {\Area_\on}^i $ and $ {\Area_\off}^i $). The sideways Gaussian curves are the distributions of $ {\Area_\on}^i $ (red) and $ {\Area_\off}^i $ (blue). 2216299 945261 http://cds.cern.ch/record/2666993/files/1808.01808.pdf Fulltext 2216300 544279 http://cds.cern.ch/record/2666993/files/Fig1c.png 00000 Schematic of the experimental chamber with example Monte Carlo in-flight and collision annihilation distributions for an \otS{} Ps population (light and dark red dots) and for a \tS{} Ps population (yellow and blue dots). The line-shaped annihilations' distribution of \tS{} atoms is due to the UV laser Doppler selection. 13 ARTICLE 2665792 SzGeCERN 20210421202815.0 9783319893143 print version 9783319893150 electronic version electronic version 9783319893167 print version DOI 10.1007/978-3-319-89315-0 ebook oai:cds.cern.ch:2665792 cerncds:BOOK eng QH505 571.4 23 Thiriet, Marc Vasculopathies behavioral, chemical, environmental, and genetic factors Cham Springer 2018 ebook Biomathematical and biomechanical modeling of the circulatory and ventilatory systems 2193-1682 8 Preface -- Cardiovascular Risk Markers -- Hypertension -- Hyperglycemia and Diabetes -- Hyperlipidemias and Obesity -- Behavioral Risk Factors. This volume presents one of the clinical foundations of vasculopathies: the biological markers and risk factors associated with cardiovascular disease. A detailed biological and clinical framework is provided as a prerequisite for adequate modeling. Chapter 1 presents cardiovascular risk factors and markers, where the search for new criteria is aimed at improving early detection of chronic diseases. The subsequent chapters focus on hypertension, which involves the kidney among other organs as well as many agents, hyperglycemia and diabetes, hyperlipidemias and obesity, and behavior. The last of these risk factors includes altered circadian rhythm, tobacco and alcohol consumption, physical inactivity, and diet. The volumes in this series present all of the data needed at various length scales for a multidisciplinary approach to modeling and simulation of flows in the cardiovascular and ventilatory systems, especially multiscale modeling and coupled simulations. The cardiovascular and respiratory systems are tightly coupled, as their primary function is to supply oxygen to and remove carbon dioxide from the body's cells. Because physiological conduits have deformable and reactive walls, macroscopic flow behavior and prediction must be coupled to nano- and microscopic events in a corrector scheme of regulated mechanisms. Therefore, investigation of flows of blood and air in anatomical conduits requires an understanding of the biology, chemistry, and physics of these systems together with the mathematical tools to describe their functioning in quantitative terms. Physics and astronomy SPR201903 SzGeCERN Chemical Physics and Chemistry SPR Biomedical engineering SPR Biological models SPR Cardiology SPR Biological and Medical Physics, Biophysics SPR Biomedical Engineering and Bioengineering SPR Mathematical and Computational Biology SPR Systems Biology BOOK SPR n 201909 201903 21 PUBLIC https://catalogue.library.cern/legacy/2665792 BOOK MIGRATED 2665504 SzGeCERN 20220810142924.0 DOI submitter 10.1088/1748-0221/13/07/P07030 oai:inspirehep.net:1718422 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1718422 2019-03-04T09:43:41Z 2019-03-05T05:00:13Z marcxml Inspire 1718422 eng Romano, S submitter RaDoM: a lung dosimeter for radon progeny crossref RaDoM: a lung dosimeter for radon progeny 2018 submitter This paper discusses a novel Timepix-based on-line radon dose monitor called RaDoM. The detector provides a direct estimate of the effective dose to the lung via a system of filters having the same absorption characteristics as this organ and a measurement of the PAEC (the potential alpha energy concentration). Measurements performed in a reference radon chamber and in normal environmental conditions showed that RaDoM well follows changes in the radon concentration and is accurate in both long- and short-term measurements. The paper describes the detector and associated software for data acquisition and analysis, and compares the measurement of the lung dose with the value derived from a measurement of the radon concentration. publication CC-BY-3.0 https://creativecommons.org/licenses/by/3.0/ publication © 2018 CERN SzGeCERN Detectors and Experimental Techniques CERN ARTICLE Caresana, M Garlati, L Murtas, F Silari, M CERN P07030-P07030 07 JINST 13 2018 2271502 1605753 http://cds.cern.ch/record/2665504/files/untitled.pdf Fulltext 2271502 10187 http://cds.cern.ch/record/2665504/files/untitled.jpg?subformat=icon-180 icon-180 Fulltext 2271502 6974 http://cds.cern.ch/record/2665504/files/untitled.gif?subformat=icon icon Fulltext 2271502 75217 http://cds.cern.ch/record/2665504/files/untitled.jpg?subformat=icon-700 icon-700 Fulltext 13 ARTICLE 2672526 SzGeCERN 20190425233857.0 DOI JACoW 10.18429/JACoW-IPAC2018-WEPMF086 oai:inspirehep.net:1690185 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d 2019-04-25T04:00:10Z marcxml oai:inspirehep.net:1690185 2019-04-24T07:58:10Z Inspire 1690185 eng Namora, Vasco JACoW-00105268 vasco.namora@cern.ch CERN JACoW Eradication of Mercury Ignitron from the 400 kA Magnetic Horn Pulse Generator for CERN Antiproton Decelerator 2018 3 p JACoW The CERN Antiproton Decelerator (AD) produces low-energy antiprotons for studies of antimatter. A 26 GeV proton beam impacts the AD production target which produces secondary particles including antiprotons. A magnetic Horn (AD-Horn) in the AD target area is used to focus the diverging antiproton beam and increase the antiproton yield enormously. The horn is pulsed with a current of 400 kA, generated by capacitor discharge type generators equipped with ignitrons. These mercury-filled devices present a serious danger of environmental pollution in case of accident and safety constraints. An alternative has been developed using solid-state switches and diodes. Similar technology was already implemented at CERN for ignitron eradication in the SPS Horizontal beam dump in the early 2000s. A project was launched to design and set up a full-scale test-bench, to install and test a dedicated solid-state solution. Following the positive results obtained from the test-bench, the replacement of ignitrons by solid-state devices in the operational AD-Horn facility is currently under preparation. This paper describes the test-bench design and results obtained for this very high current pulser. CC-BY-3.0 JACoW http://creativecommons.org/licenses/by/3.0/ SzGeCERN Accelerators and Storage Rings JACoW proton JACoW antiproton JACoW target JACoW operation JACoW kicker CERN CERN AD Calviani, Marco JACoW-00051963 ORCID:0000-0002-8213-8358 email:marco.calviani@cern.ch CERN Ducimetière, Laurent INSPIRE-00540386 JACoW-00001690 CERN Faure, Patrick JACoW-00021508 patrick.faure@cern.ch CERN Fernandez, Luis JACoW-00107255 luis.eduardo.fernandez.fernandez@cern.ch CERN Grawer, Gregor JACoW-00021818 gregor.grawer@cern.ch CERN Senaj, Viliam JACoW-00039095 viliam.senaj@cern.ch CERN WEPMF086 IPAC2018 C18-04-29 2018 1475962 871857 http://cds.cern.ch/record/2672526/files/wepmf086.pdf 13 2317451 vancouver20180429 WEPMF086 ARTICLE ConferencePaper 0-1-0-1-0-0-1 2018-08-24 16:03:18 Invenio/1.1.2.1260-aa76f refextract/1.5.44 content.pdf;1 E. Lopez Sola et al. CERN, Geneva, Switzerland 1 CERN-ACC-2016-0334 Preliminary AD-Horn Thermomechanical and Electrodynamic Simulations 2016 J. Bonthond et al. CERN, Geneva, Switzerland 2 SL-NOTE-2001021 The 12 kV, 50 kA Pulse Generator for the SPS MKDH Horizontal Beam Dump Kicker System, equipped with Semiconductor Switches 2001 G. Grawer et al. 9783954501847 IPMHV, Jackson, Wyoming, USA,. 9th International Particle Accelerator Conference IPAC, Vancouver, BC, Canada JACoW Publishing doi:10.18429/JACoW WEPMF086 2588 ContentfromthisworkmaybeusedunderthetermsoftheCCBY3.0licence(©).Anydistributionofthisworkmustmaintainattributiontotheauthor(s),titleofthework,publisher,andDOI. 07 Accelerator Technology T16 Pulsed Power Technology 3 IPAC2018-WEPMF086 Consolidation of the 400 kA Magnetic Horn Power Supply for AD Antiproton Production 2018 2671639 SzGeCERN 20210422083234.0 9783319419527 print version 9783319419534 electronic version electronic version DOI 10.1007/978-3-319-41953-4 e-proceedings oai:cds.cern.ch:2240924 cerncds:CONF eng Q342 23 006.3 20160727 AHFE 2016 International Conference on Human Factors in Sports and Outdoor Recreation Orlando, FL, USA 27 - 31 Jul 2016 2016 orlando20160727t US 20160731 Cham Springer 2017 ebook Advances in intelligent systems and computing 496 2194-5357 Decision Making and Cognition in Sports -- Analysis of Individual and Team Sports -- Health, Injury and Accidents. Engineering SPR201701 SzGeCERN Engineering SPR Sports SPR Community psychology SPR Environmental psychology SPR Community and Environmental Psychology SPR Sociology of Sport and Leisure CONFERENCE PROCEEDINGS Salmon, Paul ed. Macquet, Anne-Claire ed. Advances in Human Factors in Sports and Outdoor Recreation 201701 SPR n 201701 42 PUBLIC https://catalogue.library.cern/legacy/2671639 PROCEEDINGS MIGRATED 2240662 2671638 SzGeCERN 20210422083235.0 9783319420691 print version 9783319420707 electronic version electronic version DOI 10.1007/978-3-319-42070-7 e-proceedings oai:cds.cern.ch:2240924 cerncds:CONF eng Q342 23 006.3 20160727 AHFE 2016 International Conference on Human Factors, Business Management and Society Orlando, FL, USA 27 - 31 Jul 2016 2016 orlando20160727u US 20160731 Cham Springer 2017 ebook Advances in intelligent systems and computing 498 2194-5357 Competency-Based Education and Personalized Learning -- Commitment and Motivation in Management and Leadership -- Human Resource Management -- Education Research and Applications -- Knowledge Creation for the Future -- Innovation Management and Leadership -- Leadership Style -- Training, Organizational and Team Learning -- Products and Value Networks in Management and Leadership -- Training Applications in Military and Operational Environments -- Game-Based Learning -- Organizational Learning and Performance Management -- Learning Process and Higher Education -- External Business Factors and Change Issues -- eLearning and Teaching Strategies -- Organizational Behavior and Development -- Essential Management Skills -- Performance Management and Organizational Learning -- Leadership Style and Management System -- Gender and Leadership. >. Engineering SPR201701 SzGeCERN Engineering SPR Sports SPR Community psychology SPR Environmental psychology SPR Community and Environmental Psychology SPR Sociology of Sport and Leisure CONFERENCE PROCEEDINGS Kantola, Jussi ed. Barath, Tibor ed. Nazir, Salman ed. Andre, Terence ed. Advances in Human Factors, Business Management, Training and Education 201701 SPR n 201701 42 PUBLIC https://catalogue.library.cern/legacy/2671638 PROCEEDINGS MIGRATED 2240662 2671629 SzGeCERN 20210422083240.0 9783319419497 print version 9783319419503 electronic version electronic version 9783319419510 print version DOI 10.1007/978-3-319-41950-3 e-proceedings oai:cds.cern.ch:2671629 cerncds:CONF eng Q342 006.3 23 AHFE 2016 International Conference on Human Factors in Energy : Oil, Gas, Nuclear and Electric Power Industries Orlando, FL, USA 27 - 31 Jul 2016 2016 orlando20160727o US 20160731 20160727 Cham Springer 2017 ebook Advances in intelligent systems and computing 2194-5357 495 Reducing Human Error Through Situation Awareness, Training, and Simulations -- Applying Human Factors: Building Better Processes, Procedures and Organizations in Energy -- Human Factors in Energy -- Simulation and Interface Design for Safety Focused Research. This book addresses human factors research in energy, an emphasis on human factors applications in design, construction, and operation of nuclear, electrical power generation, and oil and gas assets. It discusses advanced strategies in the optimization of human and environmental performance, as well as personal and process safety. The book covers a wealth of topics in design and operation management of both offshore and onshore facilities, including design of control rooms, front-end engineering design (FEED), criticality analysis, offshore transport, human contributions to accidents, cognitive bias in decision making, safety-critical human tasks, and many others. Based on the AHFE 2016 International Conference on Human Factors in Energy, held on July 27-31, 2016, in Walt Disney World®, Florida, USA, the book fills an important gap in the current literature, providing readers with state-of-the-art knowledge in human factors best-practice approaches across different types of industries and energy applications. Engineering SPR201904 SzGeCERN Engineering SPR Ocean engineering SPR Offshore Engineering CONFERENCE PROCEEDINGS Cetiner, Sacit ed. Fechtelkotter, Paul ed. Legatt, Michael ed. Advances in Human Factors in Energy Oil, Gas, Nuclear and Electric Power Industries SPR n 201915 201904 42 PUBLIC https://catalogue.library.cern/legacy/2671629 PROCEEDINGS MIGRATED 2671624 SzGeCERN 20210422083243.0 9783319416847 print version 9783319416854 electronic version electronic version 9783319416861 print version DOI 10.1007/978-3-319-41685-4 e-proceedings oai:cds.cern.ch:2671624 cerncds:CONF eng Q342 006.3 23 AHFE 2016 International Conference on Ergonomics Modeling, Usability & Special Populations Orlando, FL, USA 27 - 31 Jul 2016 2016 orlando20160727k US 20160731 20160727 Cham Springer 2017 ebook Advances in intelligent systems and computing 2194-5357 486 Applied Design, Modeling and Usability Evaluation I -- Applied Design, Modeling and Usability Evaluation II -- Ergonomics and Design for All -- Ergonomics and Environmental Design -- Ergonomic Design, Assistive Technology and Accessibility -- Interface Design and Usability Evaluation for Healthcare and Safety -- Ergonomics Modeling for Industry. This book focuses on emerging issues in ergonomics, with a special emphasis on modeling, usability engineering, human computer interaction and innovative design concepts. It presents advanced theories in human factors, cutting-edge applications aimed at understanding and improving human interaction with products and systems, and discusses important usability issues. The book covers a wealth of topics, including devices and user interfaces, virtual reality and digital environments, user and product evaluation, and limits and capabilities of special populations, particularly the elderly population. It presents both new research methods and user-centered evaluation approaches. Based on the AHFE 2016 International Conference on Ergonomics Modeling, Usability and Special Populations, held on July 27-31, 2016, in Walt Disney World®, Florida, USA, the book addresses professionals, researchers, and students dealing with visual and haptic interfaces, user-centered design, and design for special populations, particularly the elderly. Engineering SPR201904 SzGeCERN Engineering SPR Manufactures SPR Manufacturing, Machines, Tools, Processes CONFERENCE PROCEEDINGS Soares, Marcelo ed. Falcão, Christianne ed. Ahram, Tareq ed. Advances in Ergonomics Modeling, Usability & Special Populations SPR n 201915 201904 42 PUBLIC https://catalogue.library.cern/legacy/2671624 PROCEEDINGS MIGRATED 2671623 SzGeCERN 20210422083244.0 9789400725393 print version 9789400725409 electronic version electronic version 9789400725416 print version 9789400799905 print version DOI 10.1007/978-94-007-2540-9 e-proceedings oai:cds.cern.ch:2671623 cerncds:CONF eng GE300-350 363.7063 23 10th Urban Environment Symposium Gothenburg, Sweden 9 - 11 Jun 2010 2010 gothenburg20100609 SE 10 20100611 20100609 Dordrecht Springer 2012 ebook Alliance for global sustainability bookseries 1571-4780 19 SUSTAINABLE URBAN DEVELOPMENT AND URBAN PLANNING: Transport and Environmental Regulation -Common attitudes and social change, by A. Abidi --  Environmental impact assessment of urban mobility plan: a methodology including socioeconomic consequences, by  P. Mestayer, A. Abidi, M.André et al. -- Assessment model of territorial articulation in rural areas. Application to four Spanish “comarcas”, by A. Tolón-Becerra, I. Otero-Pastor, X. Lastra-Bravo, P. Pérez-Martínez --  Model of territorial distribution of CO2 emissions reduction target in the transport sector, by A. Tolón-Becerra, P. Pérez-Martínez, X. Lastra-Bravo, I. Otero-Pastor -- Impact of land use and transport policies on carbon emissions in London and Wider South East Region of UK, by A. Namdeo, G. Mitchell, T. Hargreaves -- Carbon sequestration in shrinking cities – potential or a drop in the ocean?, by M.W. Strohbach, E. Arnold, S. Vollrodt, D. Haase -- Urban Sprawl, Food Security and Sustainability of Yogyakarta City, Indonesia, by Irham --  The Local Food System as a Strategy for the Rural-Urban Fringe Planning – a Pathway towards Sustainable City Regions, by D.W. Adrianto -- AIR QUALITY AND HUMAN HEALTH: A case study of chemical weather forecasting in the area of Vienna, Austria, by M. Hirtl, M. Piringer, B.C. Krüger --  Micrometeorological effects on urban sound propagation: A numerical and experimental study, by G. Guillaume, C. Ayrault, M. Bérengier, I. Calmet et al. -- Performance evaluation of air quality dispersion models in Delhi, India, by A. Namdeo, I. Sohel, J. Cairns et al. -- Characterization of atmospheric deposition in a small suburban catchment, by K. Lamprea, S. Percot, V. Ruban et al. -- Atmospheric elements deposition and evaluation of the anthropogenic part -- the AAEF concept, by M. Catinon, S. Ayrault, O. Boudouma et al. -- Sulfur dioxide and sulfate in particulate matter scavenging processes modeling in different localities of Metropolitan Region of São Paulo with different cloud heights, by F.L. Teixeira Gonçalves, L.C. Mantovani Junior, A. Fornaro et al. --  Shop opening hours and population exposure to NO2 assessed with an activity-based transportation model, by E. Dons, C. Beckx, T. Arentze et al. --  Lung deposited dose of UFP and PM for cyclists and car passengers in Belgium, by L. Int Panis, H. Willems, B. Degraeuwe et al. --  Emissive behaviour of two-wheeler vehicle category. Methodologies and results, by P. Iodice, M.V. Prati, A. Senatore -- Mobility of trace metals in urban atmospheric particulate matter from Beijing, China, by N. Schleicher, S. Norra, F. Chai et al. --  Health risk from air pollutants, an epidemic in western Java Indonesia, by M. Dirgawati, J. Soemirat, A.E. Kusumah et al. -- URBAN WATERS: Emission control strategies for short-chain chloroparaffins in two semi-hypothetical case cities, by E. Eriksson, M. Revitt, H.-C. Holten-Lützhøft et al. -- Identification of water bodies sensitive to pollution from road runoff. A new methodology based on the practices of Slovenia and Portugal, by M. Brenčič, A.E. Barbosa, T.E. Leitão et al. -- Modeling nutrient and pollutant removal in three wet detention ponds, by T. Wium-Andersen, A. Haaning Nielsen, T. Hvitved-Jacobsen et al. -- Analysis of flow characteristics in a compound channel: comparison between experimental data and 1D numerical simulations, by J.N. Fernandes, J.B. Leal, A.H. Cardoso -- Comparison of the pollutant potential of two Portuguese highways located in different climatic regions, by A.E. Barbosa, J.N. Fernandes -- Road runoff characteristics on costal zones - Exploratory Data Analysis based on a pilot case study, by P. Antunes, P.J. Ramísio -- Characterization of road runoff: A case study on the A3 Portuguese Highway, by P.J. Ramísio, J.M.P. Vieira -- The Impact of Highway Runoff on the Chemical Status of Small Urban Streams, by J. Nabelkova, D. Kominkova, J. Jirak -- Changes of toxic metals bioavailability in urban creeks as a potential environmental hazard, by D. Kominkova, J. Nabelkova, D. Starmanova -- Possible Sampling Simplification of Macroinvertebrates for Urban Drainage Purposes, by G. Stastna, D. Stransky, I. Kabelkova -- Bioaccumulation of heavy metals in fauna from wet detention ponds for stormwater runoff, by D.A. Stephansen, A. Haaning Nielsen, T. Hvitved-Jacobsen et al. -- Behavior of dissolved trace metals by discharging wastewater effluents into receiving water, by F. Rühle, L. Lanceleur, J. Schäfer et al. -- Speciation of trace metals in organic matter of contaminated urban sediments, by A. El Mufleh, B. Béchet, L. Grasset et al. -- An urban watershed regeneration project: The Costa/Couros river case study, by P.J. Ramísio -- URBAN SOIL CONTAMINATION AND TREATMENT: The Astysphere, a geoscientific concept for the urban impact on nature, by S. Norra -- Traffic Related Metal Distribution Profiles and their Impact on Urban Soils, by J.A. Carrero, I. Arrizabalaga, N. Goienaga et al. -- Assessment of total petrol and polycylic aromatic hydrocarbon mobility in soils using leaching tests, by O. Krüger, M. Kolepki, G. Christoph et al. -- Soil-plant relations in an urban environment polluted with heavy metals, by R. Lacatusu, A. R. Lacatusu -- Risk assessment of contaminants leaching to grounwater in an infrastructure project, by Y. Kalmykova, A.M. Strömvall -- Sewage sludge treatment focused on useful compounds recovery, by J. Gluzinska, J. Kwiecien -- Environmental emission impact from transport during soil remediation, by J. Hector, M. Norin, K. Andersson et al. The 10th Urban Environment Symposium (10UES) was held on 9–11 June 2010 in Gothenburg, Sweden. UES aims at providing a forum on the science and practices required to support pathways to a positive and sustainable future in the urban environment. The UES series is run by Chalmers University of Technology within the Alliance for Global Sustainability (The AGS).   Papers by leading experts are presented in sections on  Sustainable Urban Develoment and Urban Planning; Air Quality and Human Health; Urban Waters; and Urban Soil Contamination and Treatment. Engineering SPR201904 SzGeCERN Engineering SPR Environmental protection SPR MonitoringEnvironmental Analysis SPR Urbanism SPR Atmospheric ProtectionAir Quality ControlAir Pollution CONFERENCE PROCEEDINGS Rauch, Sébastien ed. Morrison, Gregory ed. SPR n 201915 42 PUBLIC https://catalogue.library.cern/legacy/2671623 PROCEEDINGS MIGRATED 2671613 SzGeCERN 20210422083250.0 9783319026770 print version 9783319026787 electronic version electronic version 9783319026794 print version 9783319380087 print version DOI 10.1007/978-3-319-02678-7 e-proceedings oai:cds.cern.ch:2671613 cerncds:CONF eng TA213-215 621.8 23 22nd International Conference on Mine Planning and Equipment Selection Dresden, Germany 14 - 19 Oct 2013 2013 dresden20131014 DE 22 20131019 20131014 Cham Springer 2014 ebook This edited volume includes all papers presented at the 22nd International Conference on Mine Planning and Equipment Selection (MPES), Dresden, Germany, 2013. Mineral Resources are needed for almost all processes of modern life, whilst the mining industry is facing strict requirements regarding efficiency and sustainability. The research papers in this volume deal with the latest developments and research results in the fields of mining, machinery, automatization and environment protection. Engineering SPR201904 SzGeCERN Engineering SPR Mineral resources SPR Environmental pollution SPR Machinery and Machine Elements SPR Mineral Resources SPR Industrial Pollution Prevention CONFERENCE PROCEEDINGS Drebenstedt, Carsten ed. Singhal, Raj ed. SPR n 201915 201904 42 PUBLIC https://catalogue.library.cern/legacy/2671613 PROCEEDINGS MIGRATED 2671607 SzGeCERN 20210422083254.0 9783319416519 print version 9783319416526 electronic version electronic version 9783319416533 print version DOI 10.1007/978-3-319-41652-6 e-proceedings oai:cds.cern.ch:2671607 cerncds:CONF eng Q342 006.3 23 AHFE 2016 International Conference on Human Factors and Ergonomics in Healthcare Orlando, FL, USA 27 - 31 Jul 2016 2016 orlando20160727a US 20160731 20160727 Cham Springer 2017 ebook Advances in intelligent systems and computing 2194-5357 482 Human Factors and Ergonomics in Surgery -- Human Factors and Ergonomics and Healthcare Professionals -- Human Factors and Ergonomics in Healthcare Systems -- Human Factors and Ergonomics in Healthcare Safety -- Medical Device Design -- Healthcare Testing -- Human Factors and Ergonomics in Environmental Design -- Healthcare Communications and Logistics. This book discusses the latest advances in human factors and ergonomics, focusing on methods for improving quality, safety, efficiency, and effectiveness in patient care. By emphasizing the physical, cognitive and organizational aspects of human factors and ergonomics applications, it reports on various perspectives, including those of clinicians, patients, health organizations and insurance providers. The book describes cutting-edge applications, highlighting the best practices of staff interactions with patients, as well as interactions with computers and medical devices. It also presents new findings related to improved organizational outcomes in healthcare settings, and approaches to modeling and analysis specifically targeting those work aspects unique to healthcare. Based on the AHFE 2016 International Conference on Human Factors and Ergonomics in Healthcare, held on July 27-31, 2016, in Walt Disney World®, Florida, USA, the book is intended as timely reference guide for both researchers involved in the design of healthcare systems and devices and healthcare professionals aiming at effective and safe health service delivery. Moreover, by providing a useful survey of cutting-edge methods for improving organizational outcomes in healthcare settings, the book also represents an inspiring reading for healthcare counselors and international health organizations. Engineering SPR201904 SzGeCERN Engineering SPR Medicine, Industrial SPR Medical records SPR Occupational MedicineIndustrial Medicine SPR Health Informatics CONFERENCE PROCEEDINGS Duffy, Vincent ed. Lightner, Nancy ed. Advances in Human Factors and Ergonomics in Healthcare SPR n 201915 201904 42 PUBLIC https://catalogue.library.cern/legacy/2671607 PROCEEDINGS MIGRATED 2671606 SzGeCERN 20210422083255.0 9783642379154 print version (v.1) 9783642379161 electronic version (v.1) electronic version (v.1) 9783642379178 print version (v.1) 9783642379215 print version (v.2) 9783642379222 electronic version (v.2) electronic version (v.2) 9783642379239 print version (v.2) 9783642379246 print version (v.3) 9783642379253 electronic version (v.3) electronic version (v.3) 9783642379260 print version (v.3) 9783662512388 print version (v.1) 9783662512395 print version (v.3) 9783662523780 print version (v.2) DOI 10.1007/978-3-642-37916-1 e-proceedings (v.1) DOI 10.1007/978-3-642-37922-2 e-proceedings (v.2) DOI 10.1007/978-3-642-37925-3 e-proceedings (v.3) oai:cds.cern.ch:2671606 cerncds:CONF eng TP248.13-248.65 660.6 23 20121019 2012 International Conference on Applied Biotechnology Tianjin, China 18 - 19 Oct 2012 2012 tianjin20121018 CN ICAB 2012 20121018 2012 International Conference on Applied Biotechnology v.1 v.2 v.3 Berlin Springer 2014 ebook Lecture notes in electrical engineering 1876-1100 249-251 Part 1: Industrial Microbial Technology -- Part 2: Food  Biotechnology -- Part 3: Pharmaceutical Biotechnology -- Part 4: Agricultural, Environmental, Marin Biotechnology and Bio-energy Technology -- Part 5: Biotechnology Applications. Part 1: Industrial Microbial Technology -- Part 2: Food Biotechnology -- Part 3: Pharmaceutical Biotechnology -- Part 4: Agricultural, Environmental, Marin Biotechnology and Bio-energy Technology -- Part 5: Biotechnology Applications. The 2012 International Conference on Applied Biotechnology (ICAB 2012) was held in Tianjin, China on October 18-19, 2012. It provides not only a platform for domestic and foreign researchers to exchange their ideas and experiences with the application-oriented research of biotechnology, but also an opportunity to promote the development and prosperity of the biotechnology industry. The proceedings of ICAB 2012 mainly focus on the world's latest scientific research and techniques in applied biotechnology, including Industrial Microbial Technology, Food Biotechnology, Pharmaceutical Biotechnology, Environmental Biotechnology, Marine Biotechnology, Agricultural Biotechnology, Biological Materials and Bio-energy Technology, Advances in Biotechnology, and Future Trends in Biotechnology. These proceedings are intended for scientists and researchers engaging in applied biotechnology. Professor Pingkai Ouyang is the President of the Nanjing University of Technology, China. Professor Tongcun Zhang is the Director of the Key Laboratory of Industrial Fermentation Microbiology of the Ministry of Education at the College of Bioengineering, Tianjin University of Science and Technology, China. Dr. Samuel Kaplan is a Professor at the Department of Microbiology & Molecular Genetics at the University of Texas at Houston Medical School, Houston, Texas, USA. Dr. Bill Skarnes is a Professor at Wellcome Trust Sanger Institute, United Kingdom. Engineering SPR201904 MULTIVOLUMESX SzGeCERN Engineering SPR Biotechnology SPR Cytology SPR Biomaterials SPR Pharmaceutical technology SPR Chemical engineering SPR Biological Techniques SPR Environmental EngineeringBiotechnology SPR Pharmaceutical SciencesTechnology SPR Industrial ChemistryChemical Engineering CONFERENCE PROCEEDINGS Zhang, Tong-Cun ed. Ouyang, Pingkai ed. Kaplan, Samuel ed. Skarnes, Bill ed. ICAB 2012 Acronym SPR n 201915 201904 42 PUBLIC https://catalogue.library.cern/legacy/2671606 PROCEEDINGS MIGRATED 2671604 SzGeCERN 20210422083256.0 9783319419404 print version 9783319419411 electronic version electronic version 9783319419428 print version DOI 10.1007/978-3-319-41941-1 e-proceedings oai:cds.cern.ch:2671604 cerncds:CONF eng Q342 23 006.3 20160727 AHFE 2016 International Conference on Human Factors and Sustainable Infrastructure Orlando, FL, USA 27 - 31 Jul 2016 2016 orlando20160727s US 20160731 Cham Springer 2016 ebook Advances in intelligent systems and computing 493 2194-5357 This book deals with human factors research directed towards realizing and assessing sustainability in the built environment. It reports on advanced engineering methods for sustainable infrastructure design, as well as on assessments of the efficient methods and the social, environmental, and economic impact of various designs and projects. The book covers a range of topics, including the use of recycled materials in architecture, ergonomics in buildings and public design, sustainable design for smart cities, design for the aging population, industrial design, human scale in architecture, and many more. Based on the AHFE 2016 International Conference on Human Factors and Sustainable Infrastructure, held on July 27-31, 2016, in Walt Disney World®, Florida, USA, this book, by showing different perspectives on sustainability and ergonomics, represents a useful source of information for designers in general, urban engineers, architects, infrastructure professionals, practitioners, public infrastructure owners, policy makers, government engineers and planners, as well as operations managers, and academics active in applied research. Engineering SPR201904 SzGeCERN Engineering SPR Engineering SPR Engineering design SPR Sustainable development SPR Architecture SPR Urban economics SPR Computational Intelligence SPR Engineering Design SPR Sustainable Development SPR Building Types and Functions SPR Urban Economics CONFERENCE PROCEEDINGS Charytonowicz, Jerzy ed. Advances in Human Factors and Sustainable Infrastructure 201904 SPR n 201915 42 PUBLIC https://catalogue.library.cern/legacy/2671604 PROCEEDINGS MIGRATED 2671519 SzGeCERN 20210301114359.0 DOI submitter 10.1126/sciadv.aau5363 oai:inspirehep.net:1725063 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1725063 2019-04-11T13:39:12Z 2019-04-12T04:00:07Z marcxml Inspire 1725063 eng Lehtipalo, Katrianne katrianne.lehtipalo@helsinki.fi U. Helsinki (main) PSI, Villigen Finnish Meteorological Inst. Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland. submitter Multicomponent new particle formation from sulfuric acid, ammonia, and biogenic vapors crossref Multicomponent new particle formation from sulfuric acid, ammonia, and biogenic vapors 2018 10 p submitter A major fraction of atmospheric aerosol particles, which affect both air quality and climate, form from gaseous precursors in the atmosphere. Highly oxygenated organic molecules (HOMs), formed by oxidation of biogenic volatile organic compounds, are known to participate in particle formation and growth. However, it is not well understood how they interact with atmospheric pollutants, such as nitrogen oxides (NO$_x$) and sulfur oxides (SO$_x$) from fossil fuel combustion, as well as ammonia (NH$_3$) from livestock and fertilizers. Here, we show how NO$_x$ suppresses particle formation, while HOMs, sulfuric acid, and NH$_3$ have a synergistic enhancing effect on particle formation. We postulate a novel mechanism, involving HOMs, sulfuric acid, and ammonia, which is able to closely reproduce observations of particle formation and growth in daytime boreal forest and similar environments. The findings elucidate the complex interactions between biogenic and anthropogenic vapors in the atmospheric aerosol system. publication CC-BY-4.0 American Association for the Advancement of Science creativecommons.org/licenses/by/4.0/ publication The Authors 2018 INSPIRE Other CERN ARTICLE CLOUD Yan, Chao U. Helsinki (main) Dada, Lubna U. Helsinki (main) Bianchi, Federico U. Helsinki (main) Xiao, Mao PSI, Villigen Wagner, Robert U. Helsinki (main) Stolzenburg, Dominik Vienna U. Ahonen, Lauri R U. Helsinki (main) Amorim, Antonio Lisbon, CENTRA Lisbon U. Baccarini, Andrea PSI, Villigen Bauer, Paulus S Vienna U. Baumgartner, Bernhard Vienna U. Bergen, Anton Goethe U., Frankfurt (main) Bernhammer, Anne-Kathrin Innsbruck U. Ionicon GesmbH, Innsbruck, Austria. Breitenlechner, Martin Innsbruck U. Brilke, Sophia Vienna U. Buchholz, Angela UEF, Kuopio Buenrostro Mazon, Stephany U. Helsinki (main) Chen, Dexian Carnegie Mellon U. (main) Chen, Xuemeng U. Helsinki (main) Dias, Antonio Lisbon, CENTRA Lisbon U. Dommen, Josef PSI, Villigen Draper, Danielle C UC, Irvine (main) Duplissy, Jonathan U. Helsinki (main) Ehn, Mikael U. Helsinki (main) Finkenzeller, Henning Colorado U., CIRES U. Colorado, Boulder Fischer, Lukas Innsbruck U. Frege, Carla PSI, Villigen Fuchs, Claudia PSI, Villigen Garmash, Olga U. Helsinki (main) Gordon, Hamish U. Leeds (main) Hakala, Jani U. Helsinki (main) He, Xucheng U. Helsinki (main) Heikkinen, Liine U. Helsinki (main) Heinritzi, Martin Goethe U., Frankfurt (main) Helm, Johanna C Goethe U., Frankfurt (main) Hofbauer, Victoria Carnegie Mellon U. (main) Hoyle, Christopher R PSI, Villigen Jokinen, Tuija U. Helsinki (main) Kangasluoma, Juha U. Helsinki (main) Beijing U. of Chem. Tech. Aerosol and Haze Laboratory, Beijing University of Chemical Technology, Beijing, China. Kerminen, Veli-Matti U. Helsinki (main) Kim, Changhyuk Caltech, Pasadena (main) Kirkby, Jasper Goethe U., Frankfurt (main) CERN CERN, CH-1211 Geneva, Switzerland. Kontkanen, Jenni U. Helsinki (main) Stockholm U. (main) Department of Environmental Science and Analytical Chemistry (ACES) and Bolin Centre for Climate Research, Stockholm University, 10691 Stockholm, Sweden. Kürten, Andreas Goethe U., Frankfurt (main) Lawler, Michael J UC, Irvine (main) Mai, Huajun Caltech, Pasadena (main) Mathot, Serge CERN Mauldin, Roy L , III Carnegie Mellon U. (main) Colorado U., CIRES U. Colorado, Boulder Department of Chemistry and CIRES, University of Colorado, Boulder, CO 80309 USA. Molteni, Ugo PSI, Villigen Nichman, Leonid U. Manchester (main) Nie, Wei U. Helsinki (main) Nanjing U. (main) Joint International Research Laboratory of Atmospheric and Earth System Sciences, Nanjing University, Nanjing, China. Nieminen, Tuomo UEF, Kuopio Ojdanic, Andrea Vienna U. Onnela, Antti CERN Passananti, Monica U. Helsinki (main) Petäjä, Tuukka U. Helsinki (main) Nanjing U. (main) Joint International Research Laboratory of Atmospheric and Earth System Sciences, Nanjing University, Nanjing, China. Piel, Felix Goethe U., Frankfurt (main) Innsbruck U. University of Innsbruck, Institute for Ion and Applied Physics, 6020 Innsbruck, Austria. Pospisilova, Veronika PSI, Villigen Quéléver, Lauriane L J U. Helsinki (main) Rissanen, Matti P U. Helsinki (main) Rose, Clémence U. Helsinki (main) Sarnela, Nina U. Helsinki (main) Schallhart, Simon U. Helsinki (main) Schuchmann, Simone CERN Sengupta, Kamalika U. Leeds (main) Simon, Mario Goethe U., Frankfurt (main) Sipilä, Mikko U. Helsinki (main) Tauber, Christian Vienna U. Tomé, António Beira Interior U., Covilha Tröstl, Jasmin PSI, Villigen Väisänen, Olli UEF, Kuopio Vogel, Alexander L PSI, Villigen Goethe U., Frankfurt (main) Goethe University Frankfurt, Institute for Atmospheric and Environmental Sciences, Altenhöferallee 1, 60438 Frankfurt am Main, Germany. Volkamer, Rainer Colorado U., CIRES U. Colorado, Boulder Wagner, Andrea C Goethe U., Frankfurt (main) Wang, Mingyi Carnegie Mellon U. (main) Weitz, Lena Goethe U., Frankfurt (main) Wimmer, Daniela U. Helsinki (main) Ye, Penglin Aerodyne Research, Billerica Carnegie Mellon U. (main) Aerodyne Research Inc., 45 Manning Road, Billerica, MA 01821, USA. Ylisirniö, Arttu UEF, Kuopio Zha, Qiaozhi U. Helsinki (main) Carslaw, Kenneth S U. Leeds (main) Curtius, Joachim Goethe U., Frankfurt (main) Donahue, Neil M U. Helsinki (main) Carnegie Mellon U. (main) Carnegie Mellon University Center for Atmospheric Particle Studies, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA. Flagan, Richard C Caltech, Pasadena (main) Hansel, Armin U. Helsinki (main) Innsbruck U. University of Innsbruck, Institute for Ion and Applied Physics, 6020 Innsbruck, Austria. Riipinen, Ilona Stockholm U. (main) Tampere U. of Tech. Aerosol Physics, Faculty of Science, Tampere University of Technology, P.O. Box 692, 33101, Tampere, Finland. Virtanen, Annele UEF, Kuopio Winkler, Paul M Vienna U. Baltensperger, Urs PSI, Villigen Kulmala, Markku markku.kulmala@helsinki.fi U. Helsinki (main) Beijing U. of Chem. Tech. Helsinki Inst. of Phys. Aerosol and Haze Laboratory, Beijing University of Chemical Technology, Beijing, China. Worsnop, Douglas R U. Helsinki (main) Aerodyne Research, Billerica Aerodyne Research Inc., 45 Manning Road, Billerica, MA 01821, USA. eaau5363 12 Sci. Adv. 4 2018 1474668 857057 http://cds.cern.ch/record/2671519/files/eaau5363.full.pdf 13 ARTICLE 0-0-0-0-0-0-1 2019-04-11 11:01:27 Invenio/1.1.2.1260-aa76f refextract/1.5.44 content.pdf;1 #BIBL http://advances.sciencemag.org/content/4/12/eaau5363 This article cites 56 articles, 7 of which you can access for free PERMISSIONS http://www.sciencemag.org/help/reprints-and-permissions U.S. Government Works Terms of ServiceUse of this article is subject to the registered trademark of AAAS. is aScience AdvancesAssociation for the Advancement of Science. No claim to original The title York Avenue NW, Washington, DC 20005.© The Authors, some rights reserved 2017 exclusive licensee American (ISSN 2375-2548) is published by the American Association for the Advancement of Science, 1200 NewScience Advances 2671414 SzGeCERN 20210421202540.0 9780429858741 electronic version electronic version 9789814800136 print version oai:cds.cern.ch:2671414 cerncds:BOOK EBL 5721225 eng TJ810 .K56 2019 621.47 Kim, Hee-Je Solar power and energy storage systems Milton Pan Stanford Publishing 2019 196 p ebook Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- 1: Hybrid Photovoltaic/Diesel Green Ship Operating in Stand-Alone and Grid-Connected Modes: Experimental Investigation -- 1.1 Overall Survey -- 1.2 Proposed Hybrid PV/Diesel Green Ship Experimental System -- 1.2.1 Power Conversion System in a Hybrid Green Ship -- 1.2.2 Implementation of the Hybrid Green Ship -- 1.3 Stability of a Hybrid Green Ship -- 1.4 Experimental Results of a Hybrid PV/Diesel Green Ship -- 1.5 Environmental and Economic Analysis of the Proposed Hybrid PV/Diesel Green Ship -- 1.5.1 Environmental Analysis -- 1.5.2 Economic and Sensitivity Analysis -- 1.6 Conclusions -- 2: Improved High-Efficiency Conventional Solar Photovoltaic System: A Novel Approach -- 2.1 Overall Survey -- 2.2 Bireflector Photovoltaic System -- 2.2.1 Electrical Modeling -- 2.2.2 Optical Modeling -- 2.3 Proposed Cooling Techniques -- 2.3.1 Passive-Air-Cooled System -- 2.3.2 Closed-Loop Water Loop System -- 2.3.3 Active-Air-Cooled System -- 2.3.4 Water Sprinkling System -- 2.4 Hybrid Energy Systems -- 2.5 Experimental Setup -- 2.6 Results and Discussions -- 2.6.1 Investigating the Effective Reflector Material/Structure -- 2.6.2 Investigating the Appropriate Cooling Technique -- 2.6.3 Combined Effect of a Cooling System and a Reflector -- 2.6.4 Investigating the Appropriate Architecture/Structure -- 2.6.5 Cost-Effective Solution, Optimal Control, and Implementation Plan -- 2.7 Conclusions -- 3: A Blended SPS-ESPS Control DAB-IBDC for a Stand-Alone Solar Power System -- 3.1 Introduction -- 3.2 Principle of the DAB-IBDC Circuit -- 3.2.1 Equivalent Circuit of Phase-Shift Control -- 3.2.2 Steady-State Analysis -- 3.3 Experimental Setup -- 3.4 Digital Control System -- 3.5 Experiment Results and Discussion -- 3.6 Conclusions. 4: Overview of Transformerless Inverter Structures for Grid-Connected PV Systems -- 4.1 Introduction -- 4.2 Power Converter Technology for PV Systems -- 4.3 H-Bridge-Based Inverter Structures -- 4.3.1 Modulation Strategies -- 4.3.1.1 Bipolar modulation -- 4.3.1.2 Unipolar modulation -- 4.3.1.3 Analysis -- 4.3.1.4 Hybrid modulation -- 4.3.2 H5 Inverter (SMA) -- 4.3.3 HERIC Inverter (Sunways) -- 4.3.4 REFU Inverter -- 4.3.5 FB-DCBP (Ingeteam) Inverter -- 4.3.6 Full-Bridge Zero-Voltage Rectifier Inverter -- 4.4 FB-Derived Inverter Topologies: An Overview -- 4.5 NPC-Based Inverter Structures -- 4.5.1 NPC H-Bridge Inverter -- 4.5.2 Conergy NPC Inverter -- 4.6 NPC-Derived Inverter Topologies: An Overview -- 4.7 Typical PV Inverter Structures -- 4.8 Generic Control Structure for a Single-Phase Grid-Connected System -- 5: Facile One-Step Synthesis of a Composite CuO/Co3O4 Electrode Material on Ni Foam for Flexible Supercapacitor Applications -- 5.1 Overall Survey -- 5.2 Materials and Methods -- 5.3 Experiments -- 5.3.1 Materials Preparation of Co3O4 and CuO/Co3O4 -- 5.3.2 Characterization -- 5.3.3 Electrochemical Measurements -- 5.4 Conclusions -- 6: Hybrid Reduced-Graphene Oxide/MnSe2 Cubes: A New Electrode Material for Supercapacitors -- 6.1 Overall Survey -- 6.2 Materials and Methods -- 6.3 Conclusions -- Appendix -- A6.1 Experimental Section -- A6.1.1 Synthesis of rGO, Pristine MnSe2, and G-MnSe2 Materials -- A6.1.2 Material Characterization -- A6.1.3 Electrochemical Measurements -- 7: Solar Panel Temperature Control System Using IoT -- 7.1 Introduction -- 7.2 Materials and Methods -- 7.2.1 Control Part -- 7.2.2 Solar Panel Part -- 7.2.3 Smartphone Application Part -- 7.3 Experimental Setup -- 7.4 Results and Discussion -- 7.5 Conclusion -- Index. EBL201904 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5721225 ebook n 201915 201904 21 PUBLIC https://catalogue.library.cern/legacy/2671414 BOOK MIGRATED 2671408 SzGeCERN 20210421202541.0 9781789537918 1789537916 9781789534818 oai:cds.cern.ch:2671408 cerncds:BOOK SAFARI 9781789534818 eng QA76.73.C153 .P753 2019 005.133 Price, Ron Comptia Server+ certification guide a comprehensive, end-to-end study guide for the SK0-004 certification, along with mock exams Birmingham Packt Publishing 2019 496 p ebook Cover -- Title Page -- Copyright and Credits -- About Packt -- Contributors -- Table of Contents -- Preface -- Section 1: System Architecture -- Chapter 1: Server Hardware -- Server roles -- Application servers -- Database servers -- Directory servers -- File servers -- Mail servers -- Messaging servers -- Network services servers -- Print servers -- Proxy server -- Routing and Remote Access Service (RRAS) -- Virtual server -- Form factors -- Tower servers -- Rack mounts -- Blade technology -- Server power systems -- Electrical power -- AC versus DC / 110V versus 230V -- Wye and delta -- Negative 48V -- One phase versus three phases -- PSU -- Wattage -- The 80-plus certification -- Selecting the right PSU -- Redundancy -- System heat -- Cooling systems -- Air cooling and air flow -- Summary -- Questions -- Chapter 2: Server Internals -- CPUs -- Multiprocessors -- Symmetrical Multiprocessing (SMP) versus Asymmetrical Multiprocessing (ASMP) -- SIMD, MISD, and MIMD -- Multiple core processing -- CPU packages and sockets -- Cache memory -- CPU cache memory -- CPU cache memory levels -- Write-back/write-through cache -- Advanced RISC Machine (ARM) servers -- CPU multiplier -- CPU stepping -- Main memory -- RAM -- Double Data Rate (DDR) RAM -- RAM packaging -- Memory timing -- Error-correction code (ECC) versus non-ECC -- Dual channel memory -- Color-coded RAM slots -- Buses, channels, and expansion slots -- Bus width -- Peripheral Component Interconnect (PCI) bus -- PCI size and fit standards -- PCI conventional -- PCI-e -- Expansion cards -- Network interface controller (NIC) -- Host Bus Adapter (HBA) -- Redundant Array of Independent Disks (RAID) controller -- Riser cards -- USB interface and port -- Configuration -- BIOS -- UEFI -- Summary -- Questions -- Chapter 3: Data Storage -- Data storage devices and their specifications. Hard drive specifications -- Form factors -- Small form factor (SFF) -- Large form factor (LFF) -- HDD specification and configuration -- Disk capacity - decimal versus binary -- Hard disk drive (HDD) versus solid-state drive (SSD) -- SSD specification and configuration -- Hard disk interfaces -- Data storage systems -- Direct-attached storage (DAS) -- Network-attached storage (NAS) -- Storage area network (SAN) -- SAN fabric -- SAN communications -- Logical Unit Number (LUN) zoning and masking -- Filesystem -- Operating systems and filesystems -- File sharing -- RAID -- Striping and mirroring -- RAID levels -- RAID implementation -- Disk quotas -- Disk compression -- High availability (HA) -- The nines -- Fault tolerance -- Replacing failed components -- Disk storage capacity planning -- Other storage devices -- Magnetic tape -- Optical storage -- Summary -- Questions -- Chapter 4: Server Operating Systems -- The network server -- Server functions -- Network server operating systems -- Operating system (OS) functions -- User/computer communications -- Memory management -- Dynamic loading and linking -- Memory allocation -- Control and coordination of hardware -- The use of system resources -- Internal and network file management -- User, data, application, and resource security -- Hardware configuration -- The primary parts of an OS -- The OS and hardware -- Boot sequence -- Firmware -- Preparing a disk for the OS -- Filesystems -- Formatting -- Filesystems by OS -- Journaling -- Special function filesystems -- Network configuration -- Configuring the hostname -- Configuring a hostname on Windows Server -- Configuring a hostname on a Linux server -- User accounts -- Creating a local user account -- Creating a domain user account -- Adding a workstation to a domain -- Connecting to a network -- Connecting a PC to a network. Adding server roles and features -- Unattended and remote installations -- NOS optimization -- Summary -- Questions -- Chapter 5: Addressing -- IP addressing -- IP version 4 -- The IPv4 address structure -- Classful IP addressing -- LAN addressing -- Private IP addresses -- Network and host IDs -- Network Address Translation (NAT) -- Collision domains -- Broadcast domains -- Classless Interdomain Routing (CIDR) -- Subnetting -- Subnets and hosts -- Subnet masks -- Network and broadcast addresses -- Internet Protocol version 6 (IPv6) -- The IPv6 address structure -- Reserved prefixes -- IPv6 address compression -- IPv6 leading zero compression -- IPv6 network ID -- Address categories -- MAC addressing -- Address resolution -- ARP -- DNS -- DNS search -- Domain suffix -- The Windows Internet Name Service (WINS) -- Ports and protocols -- Well-known ports -- Registered ports -- Summary -- Questions -- Chapter 6: Cabling -- Copper cabling -- Twisted-pair cabling -- Coaxial cabling -- Network connectors -- EIA/TIA 568 facility standards -- Category cabling -- Ethernet cable standards -- Fiber-optic cabling -- Fiber-optic cable modes -- SM fiber-optic cable -- MM fiber-optic cable -- Fiber-optic cable connectors -- Network cable installation -- Summary -- Questions -- Section 2: Administration -- Chapter 7: Server Administration -- Hardware administration -- Network administration -- Configuring, updating, and maintaining network hardware -- KVM interfaces -- Serial interfaces -- Network-based hardware administration -- Network-based operating system administration -- Asset management -- Information Technology Asset Management (ITAM) -- IT life cycle asset management -- Additional ITAM terms -- System documentation -- Service manuals -- System and network documentation -- System diagrams -- System documentation -- Other documents and documentation. Storing sensitive documentation -- Summary -- Questions -- Chapter 8: Server Maintenance -- Change and patch management -- Change control process -- Patch management -- OS updates -- Device driver updates -- Firmware updates -- Hardware maintenance -- Server monitoring systems -- Light Emitting Diodes (LED) server status indicator -- Liquid Crystal Display (LCD) messages -- Beep codes -- Replace failed components -- Preventive maintenance -- Fault tolerance and high availability -- Clustering -- Active/active versus active/passive clusters -- Load balancing -- Heartbeat -- Hot and not hot -- Hot swap -- Non-hot swap -- Service level agreements (SLA) -- Summary -- Questions -- Chapter 9: Virtualization -- Virtual networking -- Virtual network components -- Virtual devices -- Virtual servers -- Hypervisors -- Hosts and guests -- Virtual machine (VM) -- Hardware configuration for a virtual environment -- Virtual resource allocation -- Network connectivity -- Virtual internetworking devices -- Summary -- Questions -- Chapter 10: Disaster Recovery -- Business continuity plan (BCP) -- BIA -- Risk assessment -- Continuity of operations -- DRP -- Recovery plans -- Recovery sites -- Replication and backup -- Data replication -- Synchronous and asynchronous -- Replication methods -- Data backup -- Archive bit -- Backup methods -- Data versus OS restore -- Backup media -- Media storage -- Backup media integrity -- Backup media retention -- Summary -- Questions -- Section 3: Security -- Chapter 11: Security Systems and Protocols -- Security zones -- Firewall zones -- Demilitarized zone (DMZ) -- Browser zones -- Security devices -- Authentication protocols -- Authentication methods -- Point-to-point authentication protocols -- AAA authentication protocols -- Secure Sockets Layer (SSL)/Transport Layer Security (TLS) -- Internet Protocol Security (IPSec). IPSec policies -- IPSec modes -- Port security -- Port-based security -- IEEE 802.1x -- Access control list (ACL) -- Router ACLs -- Access list content -- ACL types -- Standard ACLs -- Extended ACLs -- Other ACL types -- ACE types -- Wildcard masks -- Public key infrastructure (PKI) -- PKI features -- Encryption and authentication -- Virtual private network (VPN) -- Virtual LAN (VLAN) -- Summary -- Questions -- Chapter 12: Physical Security and Environmental Controls -- MFA -- Passwords -- Authentication factors -- General physical security concepts -- Threats to physical security -- Environmental threats -- Man-made threats -- Site-specific threats -- Technical threats -- Physical security devices -- Environmental controls -- Environmental monitoring -- Electrical power -- Uninterruptable Power Supplies (UPS) -- UPS ratings -- Automated shutdown of attached devices -- Power distribution -- PDU types -- PDU ratings -- Physical safety issues -- Summary -- Questions -- Chapter 13: Logical Security -- Access control -- Access control criteria -- Access control levels -- Filesystem access control -- Access control to peripherals -- Administration access control -- Security and distribution groups -- Network access control (NAC) -- Data encryption -- Storage encryption -- Data retention and disposal -- Erasing a disk -- Formatting -- Physically destroying a disk drive -- Hardening -- OS hardening -- System hardening -- Application hardening -- Hardware hardening -- Host hardware hardening -- Network device hardening -- Endpoint security -- Summary -- Questions -- Section 4: Troubleshooting -- Chapter 14: Troubleshooting Methods -- Troubleshooting steps -- Identifying the problem -- Hardware or software? -- Hardware problems -- Software problems -- Establishing a probable cause -- Define a plan of action -- Verifying functionality. Documenting findings, actions, and outcomes. This book is intended as a study guide for anyone preparing for the (SK0-004) exam. Each chapter covers one or more of the exam objectives as standalone read. In addition, its content is such that the book will also serve as a valuable reference for entry-level network technicians and those looking for a refresher. SAF201905 EBLlink deleted Computing and Computers SzGeCERN BOOK https://learning.oreilly.com/library/view/-/9781789534818/?ar ebook n 201915 201904 21 PUBLIC https://catalogue.library.cern/legacy/2671408 BOOK MIGRATED 2671403 SzGeCERN 20210421202542.0 9781119440550 print version 9781119440581 electronic version electronic version oai:cds.cern.ch:2671403 cerncds:BOOK EBL 5720854 eng QC454.R36 .S658 2019 535.8/46 Smith, Ewen Modern raman spectroscopy a practical approach 2nd ed. Newark, NJ John Wiley & Sons 2019 256 p ebook Intro -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgements -- Chapter 1 Introduction, Basic Theory and Principles -- 1.1 INTRODUCTION -- 1.2 HISTORY -- 1.3 BASIC THEORY -- 1.4 MOLECULAR VIBRATIONS -- 1.5 GROUP VIBRATIONS -- 1.6 BASIC INTERPRETATION OF A SPECTRUM -- 1.7 SUMMARY -- REFERENCES -- FURTHER READING -- Chapter 2 The Raman Experiment - Raman Instrumentation, Sample Presentation, Data Handling and Practical Aspects of Interpretation -- 2.1 INTRODUCTION -- 2.2 CHOICE OF INSTRUMENT -- 2.3 TRANSMISSION RAMAN SCATTERING AND SPATIALLY OFFSET RAMAN SCATTERING -- 2.4 RAMAN SAMPLE PREPARATION AND HANDLING -- 2.4.1 Sample Mounting - Optical Considerations -- 2.4.2 Raman Sample Handling -- 2.5 SAMPLE MOUNTING ACCESSORIES -- 2.5.1 Small Fibres, Films, Liquids and Powders -- 2.5.2 Variable Temperature and Pressure Cells -- 2.5.3 Special Applications - Thin Films, Surfaces and Catalysts -- 2.5.4 Reaction Cells, Flow Through Cells, Sample Changers and Automated Mounts -- 2.6 FIBRE-OPTIC COUPLING AND WAVE GUIDES -- 2.7 MICROSCOPY -- 2.7.1 Raman Microscopes -- 2.7.2 Depth Profiling -- 2.7.3 Imaging and Mapping -- 2.8 CALIBRATION -- 2.9 DATA MANIPULATION, PRESENTATION AND QUANTITATION -- 2.9.1 Manipulation of Spectra for Presentation -- 2.9.2 Presentation of Spectra -- 2.9.3 Quantitation -- 2.10 AN APPROACH TO QUALITATIVE INTERPRETATION -- 2.10.1 Factors to Consider in the Interpretation of a Raman Spectrum of an Unknown Sample -- 2.10.1.1 Knowledge of the Sample and Sample Preparation Effects -- 2.10.1.2 Instrument and Software Effects -- 2.10.1.3 The Spectrum -- 2.10.2 Computer-Aided Spectrum Interpretation -- 2.10.3 Spectra Formats for Transfer and Exchange of Data -- 2.11 SUMMARY -- REFERENCES -- Chapter 3 The Theory of Raman Spectroscopy -- 3.1 INTRODUCTION -- 3.2 ABSORPTION AND SCATTERING. 3.3 STATES OF A SYSTEM AND HOOKE'S LAW -- 3.4 THE BASIC SELECTION RULE -- 3.5 NUMBER AND SYMMETRY OF VIBRATIONS -- 3.6 THE MUTUAL EXCLUSION RULE -- 3.7 UNDERSTANDING POLARIZABILITY -- 3.8 POLARIZABILITY AND THE MEASUREMENT OF POLARIZATION -- 3.9 SYMMETRY ELEMENTS AND POINT GROUPS -- 3.10 LATTICE MODES -- 3.11 SUMMARY -- REFERENCES -- Chapter 4 Resonance Raman Scattering -- 4.1 INTRODUCTION -- 4.2 THE BASIC PROCESS -- 4.3 KEY DIFFERENCES BETWEEN RESONANCE AND NORMAL RAMAN SCATTERING -- 4.3.1 Intensity Increase -- 4.3.2 Franck Condon and Herzberg Teller Scattering -- 4.3.3 Overtones -- 4.3.4 Wavelength Dependence -- 4.3.5 Electronic Information -- 4.4 Practical Aspects -- 4.5 SUMMARY -- REFERENCES -- Chapter 5 Surface Enhanced Raman Scattering and Surface Enhanced Resonance Raman Scattering -- 5.1 INTRODUCTION -- 5.2 ELECTROMAGNETIC AND CHARGE TRANSFER ENHANCEMENT -- 5.2.1 Electromagnetic Enhancement -- 5.2.2 Charge Transfer or Chemical Enhancement -- 5.2.3 Stages in the SERS Process -- 5.3 SURFACE ENHANCED RESONANCE RAMAN SCATTERING (SERRS) -- 5.4 SELECTION RULES -- 5.5 SURFACE CHEMISTRY -- 5.6 SUBSTRATES -- 5.7 QUANTITATION AND MULTIPLEX DETECTION -- 5.8 SUMMARY -- REFERENCES -- Chapter 6 Applications -- 6.1 INTRODUCTION -- 6.2 INORGANICS AND MINERALS AND ENVIRONMENTAL ANALYSIS -- 6.3 ART AND ARCHAEOLOGY -- 6.4 POLYMERS AND EMULSIONS -- 6.4.1 Overview -- 6.4.2 Simple Qualitative Polymer Studies -- 6.4.3 Quantitative Polymer Studies -- 6.5 DYES AND PIGMENTS -- 6.5.1 Raman Colour Probes -- 6.5.2 In Situ Analysis -- 6.5.3 Raman Studies of Tautomerism in Azo Dyes -- 6.5.4 Polymorphism in Dyes -- 6.6 ELECTRONICS APPLICATIONS -- 6.7 BIOLOGICAL AND CLINICAL APPLICATIONS -- 6.7.1 Introduction -- 6.8 PHARMACEUTICALS -- 6.9 FORENSIC APPLICATIONS -- 6.10 PROCESS ANALYSIS AND REACTION FOLLOWING -- 6.10.1 Introduction -- 6.10.2 Electronics and Semiconductors. 6.10.3 PCl3 Production Monitoring -- 6.10.4 Anatase and Rutile Forms of Titanium Dioxide -- 6.10.5 Polymers and Emulsions -- 6.10.6 Pharmaceutical Industry -- 6.10.7 Solid-Phase Organic Synthesis/Combinatorial Chemistry -- 6.10.8 Fermentations -- 6.10.9 Gases -- 6.10.10 Catalysts -- 6.10.11 Nuclear Industry -- 6.11 SUMMARY -- REFERENCES -- Chapter 7 More Advanced Raman Scattering Techniques -- 7.1 INTRODUCTION -- 7.2 FLEXIBLE OPTICS -- 7.3 SPATIAL RESOLUTION -- 7.4 PULSED AND TUNABLE LASERS -- 7.5 TIP-ENHANCED RAMAN SCATTERING AND SNOM -- 7.6 SINGLE-MOLECULE DETECTION -- 7.7 TIME-RESOLVED SCATTERING -- 7.8 FLUORESCENCE REJECTION -- 7.9 RAMAN OPTICAL ACTIVITY -- 7.10 UV EXCITATION -- 7.11 SUMMARY -- REFERENCES -- Appendix A Table of Inorganic Band Positions -- Index -- EULA. EBL201904 Other Fields of Physics SzGeCERN BOOK Dent, Geoffrey https://cds.cern.ch/auth.py?r=EBLIB_P_5720854 ebook n 201915 201904 21 PUBLIC https://catalogue.library.cern/legacy/2671403 BOOK MIGRATED 2671400 SzGeCERN 20210421202542.0 9781119460077 print version 9781119460091 electronic version electronic version oai:cds.cern.ch:2671400 cerncds:BOOK EBL 5720838 eng TK2945.C37 .A466 2019 621.312420284 Alonso-Vante, Nicolás Fundamentals of electrocatalyst materials and interfacial characterization energy producing devices and environmental protection Newark, NJ John Wiley & Sons 2019 292 p ebook Cover -- Title Page -- Copyright Page -- Contents -- Preface -- 1 Physics, Chemistry and Surface Properties -- 1.1 Introduction -- 1.2 The Electrochemical Interface -- 1.2.1 Conductivity and Electrical Field: Metal Versus Electrolyte -- 1.2.2 Magnitude of Double Layer Capacitance -- 1.3 Energy in Solids and Liquids: Junction Formation -- 1.4 Surface Reactivity of Low-Index Planes -- 1.5 Electron Charge-Transfer Reactions -- 1.5.1 Hydrogen Electrode vs. Oxygen Electrode -- 1.5.2 Organic-Fuels vs. Oxygen Electrode -- 1.6 The Effect of CN- Surface Coordination on Low-Index Pt Surface: ORR -- References -- 2 Computational Chemistry for Electro-Catalysis -- 2.1 Introduction -- 2.2 Scope and Limitations of Different Models -- 2.2.1 Clusters -- 2.2.2 Slabs -- 2.2.3 Nanoparticles -- 2.3 Influence of the Support in Electrocatalysis -- References -- 3 The Hydrogen Electrode Reaction -- 3.1 Introduction -- 3.2 Thermodynamics -- 3.3 Hydrogen Evolution Reaction-HER -- 3.3.1 HER on Platinum Catalytic Center -- 3.3.2 HER on Non-Noble Metal Catalyst Centers -- 3.4 Hydrogen Oxidation Reaction-HOR -- 3.4.1 HOR on Precious Metal Centers -- 3.4.2 HOR on Non-Precious Metal Centers -- References -- 4 Oxygen Reduction/Evolution Reaction -- 4.1 Introduction -- 4.2 Electrolyzer Thermodynamics -- 4.3 Oxygen Reduction Reaction -- 4.3.1 ORR Pt-Based Nano-Structure Materials -- 4.3.2 Reaction Pathways -- 4.3.3 ORR on Au and Pd-Based Nano-Structure Materials -- 4.4 Oxygen Evolution Reaction -- References -- 5 Electrochemical Energy Storage -- 5.1 Introduction -- 5.2 Basic Terminology in Batteries -- 5.3 Present Status of Electrochemical Batteries -- 5.3.1 Lead Acid Battery -- 5.3.2 Nickel-Cadmium Battery -- 5.3.3 Nickel-Metal Hydride Battery -- 5.4 Lithium Ion Battery -- 5.4.1 Insertion Electrode Materials -- 5.4.2 Conversion Reaction Electrodes -- 5.4.3 Alloy Electrodes. 5.5 Post-Li Technologies -- 5.5.1 Na-Ion Batteries -- 5.5.2 Lithium-Sulfur Batteries -- 5.5.3 Metal Air Batteries -- 5.5.3.1 Aqueous Metal Air Batteries -- 5.5.3.2 Non-Aqueous Metal Air Batteries -- References -- 6 Electrocatalysis and Remediation -- 6.1 Introduction -- 6.2 NOx Reduction -- 6.3 COx Reduction and Methanol Oxidation -- 6.3.1 Methanol Oxidation -- 6.3.2 SOx Reduction -- 6.3.3 Oxidation of Emergent Pollutants -- 6.4 Determination of Nitrate-Based Compounds in DNA -- References -- Subject Index -- ELUA. EBL201904 Engineering SzGeCERN EBL Catalysts-Environmental aspects BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5720838 ebook n 201915 201904 21 PUBLIC https://catalogue.library.cern/legacy/2671400 BOOK MIGRATED 2671395 SzGeCERN 20191101220452.0 9780128156131 print version 9780128162194 electronic version electronic version oai:cds.cern.ch:2671395 cerncds:BOOK EBL 5720625 eng TK1056 .W364 2019 621.31244 Wang, Zhifeng Design of solar thermal power plants San Diego, CA Elsevier Science & Technology 2019 492 p Front Cover -- DESIGN OF SOLAR THERMAL POWER PLANTS -- DESIGN OF SOLAR THERMAL POWER PLANTS -- Copyright -- Dedication -- Contents -- Preface -- SOLAR THERMAL POWER PLANT DESIGN -- 1 - Introduction -- 1.1 GENERAL PRINCIPLES OF SOLAR THERMAL POWER PLANT DESIGN -- 1.1.1 Constitution of the Solar Thermal Power Plant -- 1.1.2 Selection of Pressure Parameters for Power Generation Units -- 1.1.3 Heat Transfer Fluid of the Receiver -- 1.1.4 Schedule Capacity of the Power Plant and Number of Installed Units -- 1.1.5 Control of Power Plant Influences on the Environment -- 1.1.6 Power Plant Seismic Resistance and Windproof Design -- 1.1.7 Principles of Concentration Field Design -- 1.2 BRIEF INTRODUCTION TO SOLAR THERMAL POWER GENERATION -- 1.2.1 Basic Concepts of Solar Thermal Power Plants -- 1.2.1.1 Basic Concepts of Solar Thermal Power Generation Technology -- 1.2.1.2 Characteristics of Solar Thermal Power Generation Technology -- 1.2.1.3 Comparison of Solar Thermal Power and Solar Photovoltaic Power Generation -- 1.2.2 Main Technical Forms of Solar Thermal Power Generation -- 1.2.2.1 Solar Tower Power Generation -- 1.2.2.2 Parabolic Trough Solar Power Generation -- 1.2.2.3 Dish-Stirling Solar Power Generation -- 1.2.2.4 Liner Fresnel Reflector Solar Power Generation -- 1.2.3 Basic Terms -- 1.2.3.1 Optic Terms -- 1.2.3.2 Thermodynamic Terms -- 1.2.3.3 System Terms -- 2 - The Solar Resource and Meteorological Parameters -- 2.1 THE NATURE OF THE SOLAR RESOURCE -- 2.1.1 Advantages of Solar Resource Utilization -- 2.1.2 Disadvantages of Solar Resource Utilization -- 2.2 THE SOLAR CONSTANT AND RADIATION SPECTRUM -- 2.2.1 Solar Irradiation Expression -- 2.2.2 Solar Radiation Spectrum -- 2.3 ATMOSPHERIC INFLUENCES ON SOLAR IRRADIATION -- 2.4 CALCULATING METHODS FOR SOLAR POSITION -- 2.4.1 Solar Angle -- 2.4.2 Calculation of Tracking Angle. 2.5 DISTRIBUTION OF THE SOLAR RESOURCE IN SEVERAL TYPICAL AREAS OF CHINA -- 2.5.1 The Solar Resource in Beijing -- 2.5.1.1 Solar Altitude Sunrise Time, and Sunset Time of Beijing -- 2.5.1.2 Solar Radiation in Beijing -- 2.5.1.3 Sunshine Duration of Beijing -- 2.5.1.4 Sunshine Percentage of Beijing -- 2.5.1.5 Measured Value of Daily Mean Solar Direct Normal Irradiance of Badaling -- 2.5.2 The Solar Resource in Lhasa -- 2.5.2.1 Weather Conditions in Lhasa [7] -- 2.5.2.2 Solar Radiation and Sunshine Duration of Lhasa -- 2.5.3 The Solar Resource in Golmud -- 2.5.3.1 Weather Conditions of Golmud [8] -- 2.5.3.2 Solar Radiation on Golmud -- 2.5.3.3 Golmud Sunshine Duration -- 2.5.4 The Solar Resource in Dunhuang -- 2.5.4.1 Weather Conditions of Dunhuang -- 2.5.4.2 Solar Radiation in Dunhuang -- 2.5.5 The Solar Resource in Turpan -- 2.5.5.1 Weather Conditions in Turpan -- 2.5.5.2 Solar Radiation of Turpan -- 2.5.6 The Solar Resource in Guizhou -- 2.5.6.1 Weather Conditions of Guizhou -- 2.5.6.2 Solar Radiation of Guizhou -- 2.5.7 The Solar Resource in Hainan -- 2.5.7.1 Solar Radiation and Sunshine Duration of Hainan -- 2.5.7.2 Thermal Characteristics of Hainan -- 2.5.7.3 Precipitation Conditions in Hainan -- 2.5.7.4 Typhoons and Thunderstorms -- 2.5.8 The Solar Resource in Harbin -- 2.5.8.1 Basic Climatic Characteristics of Harbin -- 2.5.8.2 Solar Radiation in Harbin -- 2.5.8.3 Sunshine Duration in Harbin -- 2.6 SOLAR IRRADIANCE PREDICTION METHODS -- 2.6.1 Estimation Method for Solar Direct Normal Irradiance -- 2.6.2 Influences of Climate Change on Solar Direct Irradiance -- 2.7 DISTRIBUTION OF SOLAR DIRECT NORMAL RADIATION RESOURCES IN CHINA -- 2.7.1 Distribution of China's Annual Mean Daily Solar Direct Normal Irradiation -- 2.7.2 Influencing Factors for Spatial and Temporal Distributions of Solar Direct Irradiation. 2.7.3 Basic Characteristics of China's Solar Resource -- 2.7.4 Regionalization of China's Solar Resource -- 2.7.5 Measurement of Solar Direct Normal Irradiation -- 2.8 VARIOUS SPECIAL CLIMATE CONDITIONS IN THE PLANT AREA -- 2.8.1 Ambient Air Temperature -- 2.8.2 Wind Speed -- 2.8.3 Precipitation Parameters -- 2.8.4 Disastrous Weather Phenomena and Respective Parameters -- 2.8.5 Designed Wind Speed and Ambient Air Temperature -- 2.9 MEASURING INSTRUMENT -- 2.9.1 Global Solar Radiation Meter -- 2.9.2 Solar Direct Normal Irradiance Meter -- 2.9.3 Atmospheric Transmittance Meter -- 2.10 GLOBAL DIRECT NORMAL IRRADIANCE DISTRIBUTIONS -- 2.10.1 Site Adaptation of Satellite-Based Direct Normal Irradiance -- 2.10.2 Global and District Direct Normal Solar Irradiation Distributions -- 3 - General Design of a Solar Thermal Power Plant -- 3.1 POWER PLANT DESIGN POINT -- 3.1.1 Significance of Design Point -- 3.1.2 Calculation Examples of Applying the Design Point -- 3.2 HELIOSTAT FIELD EFFICIENCY ANALYSIS FOR POWER PLANTS -- 3.2.1 Brief Introduction to Heliostat Optical Code for Solar Towers -- 3.2.2 Algorithmic Principles of Heliostat Optical Code -- 3.2.3 Two Specific Versions of Heliostat Optical Code -- 3.2.4 Values of Specular Reflectance -- 3.2.5 Atmospheric Transmittance Analysis -- 3.2.6 Heat Losses of Power Tower Cavity Receiver -- 3.3 THERMAL PERFORMANCE OF PARABOLIC TROUGH COLLECTOR -- 3.3.1 Parabolic Trough Receiver Tube Heat Loss Parameters -- 3.3.2 Current Status of Measurement Methods for Parabolic Trough Collector Thermal Performance -- 3.3.2.1 Current Overseas Research Status of Thermal Performance of Parabolic Trough Collectors -- 3.3.2.2 Brief Introduction to the ASHRAE 93 Steady State Test Method -- 3.3.2.3 Brief Introduction to the EN 12975-2 Quasi-Dynamic Test Method. 3.3.3 Test Methods to Determine the Thermal Performance of the Parabolic Trough Collector -- 3.3.3.1 Current Status of Thermal Performance Test Method -- 3.3.3.2 Assumed Conditions of Dynamic Test Model -- 3.3.3.3 Model Establishment for Heat-Transfer Process -- 3.3.3.4 Establishment of Optical Model -- 3.3.3.5 Dynamic Test Model and Parameter Identification -- 3.3.3.6 Thermal Performance Prediction of Dynamic Test Model -- 3.3.4 Experimental Condition I -- 3.3.5 Experimental Condition II -- 3.3.6 Experimental Condition III -- 3.3.7 Experimental Condition IV -- 3.4 BASIC DATA REQUIRED BY POWER PLANT DESIGN -- 3.5 MAJOR PARAMETERS AND PRINCIPLES OF DESIGN -- 3.6 DESCRIPTION OF GENERAL PARAMETERS OF THE POWER PLANT -- 3.7 CALCULATION OF ANNUAL POWER GENERATION -- 3.7.1 Calculation by Applying the Design Point Method -- 3.7.2 Calculation Example for Annual Power Generation -- 3.7.3 Thermal Power Plant Capacity Optimization -- 3.7.4 Power Generation Calculation Methods Based on Hourly Simulation -- 3.7.5 Influences of Location on Calculation of Parabolic Trough Collector Efficiency -- 3.8 DETERMINATION OF THERMAL STORAGE RESERVE -- 3.8.1 Principles of Selecting Thermal Storage Capacity -- 3.8.2 Principles of Selecting Thermal Storage Capacity -- 3.9 MAIN POINTS FOR POWER PLANT SITE PLAN -- 3.10 NOTICES FOR CONCENTRATION FIELD LAYOUT -- 4 - Design of the Concentration System -- 4.1 GENERAL SYSTEM DESCRIPTION -- 4.1.1 Constitution of the Concentration System -- 4.1.2 Principles and Modes for Concentrator Adjustment and Control -- 4.1.3 Modes of Concentration Field Control -- 4.1.4 Location and Environmental Requirements of the Concentrating Field Supervisory Controller Control Room -- 4.1.5 Calculation Methods for Concentration Field Output -- 4.1.6 Influences of Dust Accumulation on Mirror -- 4.2 PRINCIPLES FOR CONCENTRATION FIELD LAYOUT. 4.2.1 Basic Knowledge of the Heliostat -- 4.2.2 Concentration Astigmatism of a Spherical Heliostat -- 4.2.3 Brief Introduction to the Toroidal Heliostat -- 4.2.4 Optical Losses of the Parabolic Trough Concentrator -- 4.2.5 General Principle for Heliostat Field Layout -- 4.3 DESIGN OF THE SOLAR TOWER POWER PLANT CONCENTRATING FIELD -- 4.3.1 Basic Operation Modes of the Heliostat Field and Basic Design Parameters -- 4.3.1.1 Operating Modes of the Heliostat Field -- 4.3.1.2 Design Parameters -- 4.3.2 Methods for Heliostat Field Optimization Design -- 4.3.2.1 Current Status of Heliostat Concentration Field Design Software -- 4.3.2.2 Basic Idea of Concentrating Field Design -- 4.3.3 Design of the Solar Tower Receiver -- 4.4 CONTROL DESIGN OF THE HELIOSTAT FIELD OF A SOLAR TOWER POWER PLANT -- 4.4.1 Technical Conditions for the Heliostat Field Control System -- 4.4.2 Correction of Heliostat Tracking Errors -- 4.5 SOLAR FIELD DESIGN OF PARABOLIC TROUGH POWER PLANT -- 4.5.1 Axial Arrangement of the Concentrating Field -- 4.5.1.1 Calculation of Total Irradiation on a Typical Day -- 4.5.1.2 Annual Irradiation -- 4.5.2 Thermal Efficiency Evaluation of the Parabolic Trough Collector -- 4.6 DESCRIPTION OF SOLAR CONCENTRATOR -- 4.6.1 Description of Concentrator -- 4.6.2 Description of Heat-Transfer Medium -- 4.6.3 Transparent Cover -- 4.6.4 Heat Absorber -- 4.6.5 Restrictive Conditions -- 4.6.6 Schematic Diagram of Concentrator (Fig. 4.31) -- 4.6.7 Picture of Concentrator (Fig. 4.32) -- 4.7 INSTANTANEOUS EFFICIENCY -- 4.7.1 Schematic Diagram of Test Loop (Fig. 4.33) -- 4.7.2 Test Results, Measurement, and Calculation Data -- 4.7.3 Data Quadratic Fitting -- 4.7.3.1 Experimental Formula of Solar Energy-Generating System (SEGS), United States -- 4.8 DESIGN OF THE PARABOLIC TROUGH COLLECTOR FIELD. 4.9 CONCENTRATOR FIELD CONTROL DESIGN OF THE PARABOLIC TROUGH POWER PLANT. https://cds.cern.ch/auth.py?r=EBLIB_P_5720625 ebook ebook EBL201904 Engineering SzGeCERN BOOK n 201915 201904 21 PUBLIC BOOK DELETED 2671226 SzGeCERN 20200503232032.0 9780429878350 electronic version electronic version 9781138611474 print version oai:cds.cern.ch:2671226 cerncds:BOOK EBL 5702808 eng R856 .D34 2019 610.28 Dahman, Yaser Biomaterials science and technology fundamentals and development Milton Chapman and Hall/CRC 2019 377 p Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgements -- Author -- Chapter 1: General Properties and Characterization Methods of Biomaterials -- 1.1 Introduction -- 1.2 Properties of Biomaterials -- 1.2.1 Chemical Properties -- 1.2.2 Physical Properties -- 1.2.3 Mechanical Properties -- 1.2.4 Surface Properties -- 1.2.5 Biological Properties -- 1.2.6 Desired Properties of Biomaterials -- 1.3 Characterization of Biomaterials -- 1.3.1 Physical and Chemical Characterization -- 1.3.2 Mechanical Characterization -- 1.3.3 Surface Characterization -- 1.4 Recent Research in Biomaterials -- 1.5 Conclusion -- References -- Chapter 2: Recent Advances in Biocompatibility -- 2.1 Introduction -- 2.1.1 Biocompatibility -- 2.1.2 Biomaterials -- 2.2 Wound Healing Process -- 2.3 Long-Term Implants -- 2.4 Orthopedic Implants for Joint Replacement -- 2.4.1 Metals -- 2.4.2 Metal Disadvantages -- 2.4.3 Stainless Steel -- 2.4.4 Stainless Steel Surface Modifications -- 2.4.4.1 Hydroxyapatite (HAp) Coating -- 2.4.5 Titanium -- 2.4.6 Titanium Surface Coating -- 2.4.6.1 Hydroxyapatite (HAp) Coating -- 2.4.6.2 Bisphosphonates Coating -- 2.4.7 Low-Cost Alternatives to Titanium -- 2.5 Intravascular Stents -- 2.5.1 Drug-Eluting Stents -- 2.5.2 Drug-Eluting Stent Alternative -- 2.6 Ocular Implants -- 2.7 Dental Implants -- References -- Chapter 3: Polymeric Based Biomaterials -- 3.1 Introduction -- 3.2 Structure and Polymerization -- 3.3 Classification of Polymeric Biomaterials -- 3.4 Thermosetting Polymers -- 3.5 Thermoplastic Polymers -- 3.6 Elastomeric Polymers -- 3.7 Hydrogels -- 3.8 Polyelectrolytes -- 3.9 Natural Polymers -- 3.10 Biodegradable Polymers -- 3.11 Conclusion -- References -- Chapter 4: Ceramic Based Biomaterials -- 4.1 Introduction of Bioceramics -- 4.2 Alumina -- 4.2.1 History of Alumina. 4.2.2 Production of Alumina -- 4.2.3 Characteristics of Alumina -- 4.2.4 Current Applications of Alumina -- 4.3 Calcium Phosphate -- 4.3.1 History of Calcium Phosphates -- 4.3.2 Production of Calcium Phosphates -- 4.3.3 Characteristics of Calcium Phosphate -- 4.3.4 Applications of Calcium Phosphate -- 4.4 Zirconia -- 4.4.1 History of Zirconia -- 4.4.2 Production of Zirconia -- 4.4.3 Characteristics of Zirconia -- 4.4.4 Applications of Zirconia -- 4.5 Bioglass Bioceramics -- 4.5.1 History of Bioglass -- 4.5.2 Production of Bioglass -- 4.5.3 Characteristics of Bioglass -- 4.5.4 Applications of Bioglass -- 4.6 Challenges of Bioceramics -- 4.7 Future Applications of Biocermics -- References -- Chapter 5: Biocomposites as Implantable Biomaterials -- 5.1 Biomaterials -- 5.2 Definition of Biocomposites -- 5.3 Potential of Biocomposites for Medical Applications -- 5.4 Classification of Composite Materials -- 5.4.1 Particle-Reinforced Composite -- 5.4.2 Fiber-Reinforced Composite -- 5.4.3 Structural Composite -- 5.4.4 Hybrid Composites -- 5.5 Constituents of Biocomposites -- 5.5.1 Matrices -- 5.5.2 Fibers -- 5.5.3 Particles -- 5.5.4 Interface -- 5.6 Polymer Matrix Composite Processing -- 5.7 Processing of Ceramic Matrix Composites -- 5.8 Physical Properties -- 5.8.1 Mechanical Properties -- 5.8.2 Yield Strength -- 5.8.3 Elastic Property -- 5.8.4 Fatigue -- 5.8.5 Corrosion -- 5.8.6 Fracture and Fatigue Failure -- 5.9 Biocompatibility -- 5.10 Structural Biocompatibility -- 5.11 Adverse Effects of Composite Implants -- 5.12 The Environment within the Body -- 5.13 Sterilization of Biocomposite implants -- 5.14 Imaging of Biocomposites after Implantation -- 5.15 Biological Response -- 5.16 Nanocomposites -- 5.17 Biomedical Application of Biocomposite Implants -- 5.17.1 Hard Tissue Application -- 5.17.2 Dental Application -- 5.17.3 Soft Tissue Application. 5.17.4 Application as Drug Delivery and Scaffold -- 5.17.5 Orthotics and Prosthetics -- 5.18 Advancement in Composite Implants -- 5.19 Conclusion -- References -- Chapter 6: Biopolymers and Their Applications -- with a Focus on Chitosan -- 6.1 Introduction -- 6.2 Chitosan -- 6.2.1 Chitosan Structure to Property Relationship -- 6.2.2 Chitosan Physicochemical Properties -- 6.3 Antibiotic Type Properties of Biopolymers -- 6.3.1 Chitosan Antimicrobial Properties -- 6.4 Biopolymers for Tissue Engineering -- 6.4.1 Chitosan in Tissue Engineering -- 6.5 Sustainable and Environmental Impacts of Biopolymers -- 6.5.1 Chitosan Bioplastic -- 6.6 Conclusion -- References -- Chapter 7: Surface Modification of Polymer Biomaterials -- 7.1 Introduction -- 7.1.1 Bioactivity -- 7.1.2 Biocompatibility -- 7.1.3 Protein Adsorption -- 7.2 Grafting -- 7.2.1 Direct Chemical Modification -- 7.2.2 Ozone Treatment -- 7.2.3 Plasma Treatment -- 7.2.3.1 Plasma Post-Irradiation Grafting -- 7.2.3.2 Plasma Syn-Irradiation -- 7.3 Polyelectrolyte Layer-by-Layer Deposition -- 7.3.1 Dip Method -- 7.3.2 Spray Coating -- 7.3.3 Electrospinning -- 7.4 Surface Topography -- 7.4.1 Photolithography -- 7.5 Drawbacks -- 7.6 Conclusion and Future Prospects -- References -- Chapter 8: Nano-approach -- 8.1 Background -- 8.2 Biomaterials -- 8.3 Characteristic Enhancement of Biomaterials -- 8.4 Applications of Nano-Approach for Analysis and Treatment -- 8.4.1  In-Vitro-Based Analysis and Treatments -- 8.4.2  In-Vivo-Based Analysis and Treatments -- 8.5 Nano-Approach-Based Novel Drug Delivery Systems -- 8.5.1 New Therapeutic Delivery Systems -- 8.5.2 Targeted Delivery Systems -- 8.5.3 Co-Delivery Systems -- 8.5.4 MEM/NEM Devices for an Efficient Drug Delivery -- 8.6 Nanostructuring and Nanocoating of Surfaces -- 8.7 Toxicity and Biocompatibility of Nanobiomaterials -- 8.8 Conclusion -- References. Chapter 9: Applications in Nanomedicine and Drug Delivery Systems -- 9.1 Introduction -- 9.1.1 Delivery Nanoplatforms -- 9.1.2 Methods of Nanoparticle Preparation -- 9.1.3 "Stealth" Modifications of NPs -- 9.1.4 Passive and Active Targeting of Nanomedicine -- 9.2 Nanocarriers -- 9.2.1 Polymeric Nanocarriers -- 9.2.1.1 Polymeric Nanoparticles (PNPs) -- 9.2.1.2 Dendrimer Nanocarrier -- 9.2.2 Inorganic Nanoparticles -- 9.2.2.2 Carbon Nanomaterials -- 9.2.2.3 Magnetic Nanoparticles (MNPs) -- 9.2.2.4 Metal Nanoparticles and Quantum Dots -- 9.2.3 Vesicular Systems -- 9.2.3.1 Liposomes, Transferosomes, Ethosomes, Niosomes, Virosomes, Cochleate, and Cubosomes -- 9.2.3.2 Nanoparticles Based on Solid Lipids (SLN) -- 9.2.4 Cyclodextrins -- 9.2.5 Nanoemulsions -- 9.2.6 Immunoconjugates -- 9.2.7 Viruses -- 9.2.8 Nucleic Acids -- 9.3 Recent Advances in Nano Drug Delivery Systems -- 9.3.1 Anisotropic Nanoparticles -- 9.3.2 Drug-Free Macromolecular Therapeutics -- 9.3.3 Nanoparticle-Based Combination Therapy -- 9.4 Designing Nanomaterials as Drug Carriers -- 9.5 Obstacles and Current Limitations -- 9.6 Conclusion -- References -- Chapter 10: Tissue Engineering and Regenerative Medicine -- 10.1 Introduction -- 10.2 Traditional Medicinal Practices -- 10.3 Tissue Engineering -- 10.3.1 Cells -- 10.3.1.1 Cell Sourcing -- 10.3.2 Scaffolds -- 10.3.3 Signals -- 10.4 Regenerative Medicine -- 10.4.1 Stem Cell Transplantation -- 10.5 Future of the Technology -- 10.6 Conclusion -- References -- Chapter 11: Applications of Biomaterials in Hard Tissue Replacement -- 11.1 Background -- 11.2 Tissue of the Body -- 11.2.1 Enamel -- 11.2.2 Cementum -- 11.2.3 Bone -- 11.3 Human Bone System -- 11.3.1 Bone Characteristic -- 11.3.2 Mechanical Properties of Bone -- 11.3.3 Bone Fracture -- 11.4 Fracture Fixation -- 11.5 Bone Tissue and Anatomy. 11.6 Developing Bioactive Composite Materials -- 11.6.1 Bone and the Composite Strategy -- 11.6.2 Biomaterials for Hard Tissue Repair -- 11.6.3 Bioactive Bioceramics -- 11.6.4 Synthetic Biodegradable Polymers -- 11.6.4.1 Poly(Glycolic Acid) -- 11.6.4.2 Poly(Lactic Acid) -- 11.6.4.3 Poly(Lactide-co-glycolide) -- 11.6.4.4 Poly(ε-Caprolactone) -- 11.6.4.5 Benzyl Ester of Hyaluronic Acid -- 11.6.4.6 Poly-Para-Dioxanone -- 11.7 Factors influencing Bioactive Composites -- 11.8 Bioactive Composites for Hard Tissue -- 11.8.1 Hydroxyapatite-Reinforced High-Density Polyethylene (HAp/HDPE) -- 11.8.2 Chemically Coupled HAp/HDPEXTM -- 11.8.3 Hydrostatically Extruded HAp/HDPEXTM -- 11.8.4 Hydroxyapatite-Reinforced Polysulfone -- 11.8.5 Bioglass-Reinforced High-Density Polyethylene -- 11.8.6 A-W Glass Ceramic-Reinforced High-Density Polyethylene -- 11.8.7 Calcium Phosphate-Reinforced Polyhydroxybutyrate -- 11.8.8 Calcium Phosphate-Reinforced Chitin -- 11.8.9 Bioactive and Biodegradable Scaffolds -- 11.9 Challenges and Future Directions -- 11.10  Concluding Remarks -- References -- Chapter 12: Applications of Biomaterials in Soft Tissue Replacement -- 12.1 Introduction -- 12.1.1 Types of Materials -- 12.2 Types of Implants -- 12.2.1 Surgical Tapes and Sutures -- 12.2.1.1 Sutures -- 12.2.1.2 Surgical Tapes -- 12.2.1.3 Staples -- 12.2.2 Percutaneous Skin Implants -- 12.2.3 Maxillofacial Implants and Space Fillers -- 12.2.3.1 Ear Implants -- 12.2.3.2 Eye Implants -- 12.2.3.3 Space-Filling Implants -- 12.3 Fabrication Technologies -- 12.3.1 3D Bioprinting -- 12.3.1.1 Design Approaches -- 12.3.2 Injectable Implants -- 12.3.3 Layer-by-Layer Technique with Particulate Leaching -- 12.3.4 Electrospinning -- 12.4 Conclusion and Future Perspective -- References -- Chapter 13: Biomaterials in 3D Printing/Bio-printing Techniques -- 13.1 Introduction. 13.2 3D Printing Technologies. https://cds.cern.ch/auth.py?r=EBLIB_P_5702808 ebook ebook EBL Biomedical materials EBL201904 Health Physics and Radiation Effects SzGeCERN BOOK n 201915 201904 21 PUBLIC BOOK DELETED 2671167 SzGeCERN 20200128202339.0 9780849320170 print version 9781135497866 electronic version electronic version oai:cds.cern.ch:2671167 cerncds:BOOK EBL 5675762 eng TK1087 .M477 2005 621.31/244 Messenger, Roger A Photovoltaic systems engineering 2nd ed. London Chapman and Hall/CRC 1999 458 p BOOK COVER -- TITLE -- COPYRIGHT -- PREFACE -- ACKNOWLEDGMENTS -- ABOUT THE AUTHORS -- TABLE OF CONTENTS -- Chapter 1 BACKGROUND -- Chapter 2 THE SUN -- Chapter 3 INTRODUCTION TO PV SYSTEMS -- Chapter 4 PV SYSTEM EXAMPLES -- Chapter 5 COST CONSIDERATIONS -- Chapter 6 MECHANICAL CONSIDERATIONS -- Chapter 7 STAND-ALONE PV SYSTEMS -- Chapter 8 UTILITY INTERACTIVE PV SYSTEMS -- Chapter 9 EXTERNALITIES AND PHOTOVOLTAICS -- Chapter 10 THE PHYSICS OF PHOTOVOLTAIC CELLS -- Chapter 11 PRESENT AND PROPOSED PV CELLS -- Appendix A AVERAGE DAILY IRRADIATION FOR SELECTED CITIES -- Appendix B A PARTIAL LISTING OF PV-RELATED WEB SITES -- Appendix C DESIGN REVIEW CHECKLIST. Thoroughly updated, the second edition of this best-seller presents a comprehensive engineering basis for photovoltaic (PV) system design and presents the 'what, why, and how' associated with electrical, mechanical, economic, and aesthetic aspects of PV system design. Using a modified top-down approach, the authors offer a presentation that provides a quick exposure to all of the building blocks of the PV system. They then provide detailed design examples from practical systems, explaining why certain PV designs are done in certain ways, including economic and environmental issues, and how to implement the design. Mastering the contents of this book gives readers the judgement needed to make intelligent decisions. Abtahi, Amir Abtahi, Amir https://cds.cern.ch/auth.py?r=EBLIB_P_5675762 ebook ebook EBL Building-integrated photovoltaic systems EBL Dwellings-Power supply EBL201904 Engineering SzGeCERN BOOK n 201915 21 PUBLIC BOOK DELETED 2671163 SzGeCERN 20200503232032.0 9780367152079 print version 9780429878053 electronic version electronic version oai:cds.cern.ch:2671163 cerncds:BOOK EBL 5675754 eng TS171.95 .D54 2019 621.9/88 Dietrich, David M Additive manufacturing change management best practices Milton Chapman and Hall/CRC 2019 181 p Continuous improvement Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- Acknowledgments -- Authors -- Introduction -- Section I: Additive manufacturing background and potential -- Chapter 1 Additive manufacturing overview -- Motivation and background -- Technology introduction -- References -- Chapter 2 Additive manufacturing potential for industry -- AM organizational maturity model -- References -- Chapter 3 Additive manufacturing intellectual property trends -- Research trends -- Outlook for polymer-based AM technologies -- Outlook for metal-based AM technologies -- References -- Section II: Creating and managing additively manufactured change -- Chapter 4 War stories from the front line of industrializing additive manufacturing -- Panning for gold in Kansas -- Big Data Boondoggle -- Pathfinder to nowhere -- Cultural resistance to change - crab mentality -- Who's in charge here? -- Engineering rigor mortis -- Suckers for sunk costs -- Relentless drive of organizational dysfunction -- Knives out -- Innovate NOW! -- References -- Chapter 5 Impact of disruptive technology -- Additive manufacturing as disruptor -- References -- Section III: Additive manufacturing barriers -- Chapter 6 Certification -- References -- Chapter 7 Machine cost of ownership -- Environmental health and safety considerations -- References -- Chapter 8 Make vs. buy -- Which technology? -- References -- Chapter 9 Skilled workforce, or lack thereof -- References -- Chapter 10 Cultural adoption of change -- Section IV: Applying change management best practices to additive manufacturing -- Chapter 11 Establish a sense of urgency -- Leading change -- Establishing a burning platform -- Business strategy tools -- Reference -- Chapter 12 Create a guiding coalition -- Reference -- Chapter 13 Develop a vision and strategy -- Reference. Chapter 14 Communicate the change vision -- Change management -- Communicating change -- References -- Chapter 15 Empower broad-based action -- Chapter 16 Generate short-term wins -- Product selection matrix -- Pugh concept selection matrix -- Conclusions -- Chapter 17 Consolidate gains and promote additive manufacturing adoption -- Chapter 18 Anchor new approaches in the culture -- Reference -- Index. Kenworthy, Michael Cudney, Elizabeth A https://cds.cern.ch/auth.py?r=EBLIB_P_5675754 ebook ebook EBL Manufacturing processes-Automation EBL201904 Engineering SzGeCERN BOOK n 201915 201904 21 PUBLIC BOOK DELETED 2671095 SzGeCERN 20210421202620.0 9781137467287 print version 9781137467294 electronic version electronic version oai:cds.cern.ch:2671095 cerncds:BOOK EBL 5092587 eng P129-138.7222P51-P59 428.0071 Maley, Alan Creativity and English language teaching from inspiration to implementation London Palgrave Macmillan 2017 339 p ebook Intro -- Acknowledgements -- Summary of the Book -- Contents -- List of Figures -- List of Tables -- List of Boxes -- 1: Introduction -- References -- Part 1: Creativity: Concept to Product -- 2: Creativity Theory -- Wallas and the Four-Stage Process -- Rhodes and the 4 Ps of Creativity -- Koestler and Bisociation -- Boden and Conceptual Spaces -- Csikszentmihalyi: Individual Talent, Domains and Fields -- Gardner and the Nature of Genius -- Amabile and Social/Environmental Factors -- Bateson and Martin and Playfulness -- Nachmanovitch and Improvisation -- Storr and Madness -- Johnson and the Origin of New Ideas -- Gladwell and the Spread of Ideas -- Creativity Surveys and Trends -- Runco's Survey -- Richards on Everyday Creativity -- The Cambridge Handbook of Creativity (Kaufman & Sternberg, 2010) -- References -- 3: Creativity and Education -- From Earlier Philosophers and Theorists -- More Recent Critical Accounts -- General Educational Dissenters -- Ken Robinson -- The Experimenters -- Educational Creativity -- Beghetto and 'Creativity in the Classroom' -- Autobiographical Accounts and Memoirs -- Concluding Thoughts -- References -- 4: Creativity and Applied Linguistics -- Creativity in Language and Language Learning -- TESOL: Art or Science? -- Carter and the Art of Common Talk -- Tannen and Conversational Creativity -- Cook and Language Play -- Crystal and Language Play -- Applied Linguistics Special Issue: Language Creativity in Everyday Contexts -- Jones and Richards: Creativity in Language Teaching -- The Routledge Handbook of Language and Creativity -- Creative Impact on the Domain -- Corpus Studies -- Socio-Linguistics and the Spread of English -- Teacher Research -- Materials Design, Development and Evaluation -- Motivation -- References -- 5: Creativity and Methodology -- Macro-Level Changes -- Wilkins and the Communicative Approach. Sinclair and COBUILD -- Discourse -- The Lexical Revolution -- English for Specific Purposes/English for Academic Purposes -- The Threshold Level and Beyond -- Krashen and the 'Monitor Model' -- The Revival of Extensive Reading -- Affect and the Humanising of Language Learning -- Prabhu's Procedural Syllabus -- Dogme -- CLIL -- Sugata Mitra and 'The Hole in the Wall' -- The Big Three: Technology, Testing and Materials -- Testing and Assessment -- Technology -- Materials -- The Designer Methods -- The Silent Way -- Community Language Learning -- Suggestopedia -- Total Physical Response and the Natural Approach -- Psycho-Drama -- What Went Wrong? -- Micro-Level Creative Innovation -- Caroline Graham and Jazz Chants -- O'Neill and Kernel -- Fanselow and Breaking Rules -- Clowning -- Drama and Theatre -- Positive Psychology -- New Ways of Doing Old Things -- Feeder Fields -- The Activator -- Comments on Methodology -- References -- 6: Creativity in Materials and Resources -- Related to Content -- Visuals -- Literature -- Creative Writing -- Storytelling -- Music -- Drama/Voice -- Translation -- Related to Processes -- Closing Comments -- References -- Part 2: Focus on the Teacher -- 7: What Is a Creative Teacher? -- Our Survey Data -- Ur Survey Data -- Prodromou Survey -- Maley Survey -- References -- 8: Becoming a Creative Person -- Getting Ready -- Create a Nest -- Make Space -- Start a Routine (and Break It) -- Things to Try -- Learn a New Skill -- Quieten the Mind -- Develop an Exercise Routine -- Do Toning -- Go for Long Walks -- Go Fishing -- Reduce Stress -- Read a Book -- Keep a Journal or a Day Book -- Build a Network of Trusted Friends and Join Associations -- Develop Noticing -- Experiment with Your Life -- Re-discover Physical Awareness -- Listening -- Taste -- Smell -- Touch -- Memory -- Closing Thoughts -- References. 9: Becoming a Creative Teacher -- The Heart of the Matter -- Some Specific Activities to Develop Creative Spontaneity -- Yes, But… -- Objection 1 -- Objection 2 -- Objection 3 -- Objection 4 -- Objection 5 -- Objection 6 -- Objection 7 -- Objections 8 -- Objection 9 -- References -- Part 3: Focus on the Classroom -- 10: Pre-conditions for Classroom Creativity -- What Creative Teachers Do -- Dörnyei's Motivational Strategies -- Read's Reflective Teacher Wheel -- Achieving a Creative Climate in the Classroom -- References -- 11: Some Possible Frameworks and Procedures -- Some Principles for Developing More Creativity -- Use Heuristics at All Levels -- Use the Constraints Principle -- Use the Random Principle -- Use the Association Principle -- Use the Withholding-Information Principle -- Use the Divergent Thinking Principle -- Use and Develop Improvisation -- Some Frameworks and Typologies -- Using Creativity Theory: The Four Ps, Guilford and Boden -- Inputs/Processes/Outcomes Model -- Inputs -- Processes -- Outcomes -- Generative Procedures -- Expansion -- Reduction -- Reconstruction -- Repetition -- Reformulation -- Questioning -- Matching -- Selection/Ranking -- Media Transfer -- Comparison/Contrast -- Interpretation -- Creating Text -- Performance -- Visualisation -- Analysis -- Adapting Materials -- Student-Made Materials -- Materials Students Bring to Class as Input -- Student-made Products -- Student-made Activities -- Student-made Revisions to Coursebook Materials -- Concluding Remarks -- References -- Part 4: Research on Creativity -- 12: Measuring Creativity -- Research Methodologies -- Quantitative Methods: The Torrance Test and Its Variations -- Quantitative Methods: Measuring Linguistic Creativity -- Mixed Methods: Surveys and Questionnaires -- Mixed Methodology: Classroom Observation. Qualitative Methods: Interviews, Focus Group Discussions -- Qualitative Methodology: The Road Less Travelled -- References -- 13: Research into Creativity -- Person Creativity -- The Learner as a Creative Person -- Creativity and Language Proficiency -- The Impact of Creativity on Language Skills and Vocabulary -- The Language Teacher as a Creative Person -- Process Creativity -- Product Creativity -- Press Creativity -- Closing Thoughts on Creativity Research in ELT -- Students' Creativity and Its Effect on English Language Learning -- The Impact of Teachers' Creativity on Learning and Teaching -- Activities and Processes That Promote Creativity -- Creative Products -- Contextual Factors on Creativity in ELT -- Research Methodology on Creativity in ELT -- References -- 14: Network Analysis of Research Papers on Creativity in ELT -- Methodology -- Analysis -- Who Are Linked? -- Central Papers -- Summary -- References -- 15: Suggestions for Further Research -- Individual Creativity Versus Collaborative Creativity -- Complex Dynamic Systems and Creativity -- Critical Pedagogy, Critical Literacy, Knowledge Building -- Curriculum and Syllabus -- Language Testing and Creativity -- Learners' Perception of Creativity -- Creativity and Language Teacher Education -- Reward, Praise, Feedback and Evaluation -- Competition Versus Collaboration -- Summary -- References -- 16: Conclusion -- References -- Index. EBL201904 Other Subjects SzGeCERN BOOK Kiss, Tamás https://cds.cern.ch/auth.py?r=EBLIB_P_5092587 ebook n 201915 201904 21 PUBLIC https://catalogue.library.cern/legacy/2671095 BOOK MIGRATED 2671071 SzGeCERN 20191106223630.0 9781567262179 print version 9781567263923 electronic version electronic version oai:cds.cern.ch:2671071 cerncds:BOOK EBL 1938988 eng HD69.P75 V568 2007 658.4/04 Virine, Lev Project decisions the art and science Oakland Berrett-Koehler Publishers 2007 342 p Intro -- Title Page -- Copyright -- About the Author -- Table of Contents -- PREFACE -- ACKNOWLEDGMENTS -- TEST YOUR JUDGMENT -- ANSWERS TO JUDGMENT QUIZ -- PART 1: Introduction to Project Decision Analysis -- CHAPTER 1: Project Decision Analysis: What Is It? -- The Burden of Poor Decision-making -- Why Do We Make Wrong Decisions? -- Approaches to Decision-making -- Decision Analysis as a Process -- Normative and Descriptive Decision Theory -- Driving Forces behind Project Decision Analysis -- A Little Bit of History -- Decision Analysis Today -- CHAPTER 2: "Gut Feel" vs. Decision Analysis: Introduction to the Psychology of Project Decision-Making -- Human Judgment Is Almost Always to Blame -- Blink or Think? -- Cognitive and Motivational Biases -- Cognitive Biases -- Motivational Biases -- Perception -- Bounded Rationality -- Heuristics and Biases -- Availability Heuristic -- Representativeness Heuristic -- Anchoring and Adjustment Heuristic -- Behavioral Traps -- Time Delay Traps -- Ignorance Traps -- Deterioration Traps -- Frames and Accounts -- Training for Project Decision-Making Skills -- CHAPTER 3: Understanding the Decision Analysis Process -- Decision Analysis -- When Decision-Makers Go Bad -- The Decision Analysis Manifesto -- The "3C" Principle of Project Management -- Consistency -- Comprehensiveness -- Continuity -- Decision Analysis Process vs. the PMBOK® Guide's Project Risk Management -- Decision Analysis and Other Business Processes -- Phases of the Decision Analysis Process -- Phase 1. Decision-Framing -- Phase 2. Modeling the Situation -- Phase 3. Quantitative Analysis -- Phase 4. Implementation, Monitoring, and Review -- Big and Small Decisions -- The Value of Project Decision Analysis -- CHAPTER 4: What Is Rational Choice? A Brief Introduction to Decision Theory -- Decision Policy -- Which Choice Is Rational?. Expected Value -- The St. Petersburg Paradox -- Risk-Taker vs. Risk-Avoider -- Expected Utility -- Expected Utility Theory -- Extensions of Expected Utility Theory -- How to Use Expected Utility Theory -- Descriptive Models of Decision-Making -- CHAPTER 5: Creativity in Project Management -- Creativity and Decision-Making -- Psychology of Creativity -- Creativity Blocks -- Framing and Perceptual Blocks -- Value-Based Blocks -- Cultural, Organizational, and Environmental Blocks -- CHAPTER 6: Group Judgment and Decisions -- Psychology of Group Decision-Making -- Aggregating Judgment -- Group Interaction Techniques -- Brainstorming -- Tools for Facilitating Discussions -- A Few Words about Game Theory -- CHAPTER 7: Are You Allowed to Make a Decision? Or the "Frustrated Developer's Syndrome" -- What Is FDS? -- Why FDS Is a Problem -- How Does FDS Spread? -- Three Common Myths about FDS -- Myth 1: Our organization is not suitable for an FDS-free environment -- Myth 2: When companies implement organizational processes, FDS results -- Myth 3: An FDS-free corporate culture leads to anarchy -- The Roots of FDS -- Treating FDS -- The Second Russian Revolution -- PART 2: Decision-Framing -- CHAPTER 8: Identifying Problems and Assessing Situations -- Who Are the Players? -- Identifying Problems and Opportunities -- Assessing Business Situations -- Some Tools and Techniques -- CHAPTER 9: Defining Project Objectives -- Different Objectives and Different Criteria for Decision-Making -- Aligning Project Objectives -- Decision Analysis as an Art of Tradeoffs -- Project Objectives Hierarchy -- CHAPTER 10: Generating Alternatives and Identifying Risks -- Identifying Risks and Uncertainties -- Generating Alternatives -- Risk Breakdown Structures -- Risk Templates -- Risk-Response Planning -- Risk Registers -- PART 3: Modeling the Situation. CHAPTER 11: The Psychology and Politics of Estimating -- How Do We Make Estimates? -- How We Think When We Make Estimates -- Impact of Politics on Estimation -- Impact of Psychology on Estimation and the Rule of Pi -- Student Syndrome -- Other Cognitive Biases in Estimating -- Other Explanations of Problems with Estimation -- Where Does the Problem Lie-In Psychology or Politics? -- Many Mental Errors and One Wrong Estimate -- Simple Remedies -- Never Make a Wild Guess -- Collect Relevant Historical Data -- Perform Reality Checks -- Conduct an Independent Assessment -- CHAPTER 12: Project Valuation Models -- Model of the Project -- Schedule Model -- Economic Model -- Alternative Models -- The Critical Path Method -- The Critical Chain Method -- Event Chain Methodology -- Modeling with Influence Diagrams -- The Agile Approach to Project Modeling -- CHAPTER 13: Estimating Probabilities -- Approaches to Estimating Probabilities -- Subjective Estimation of Probabilities -- How We Subjectively Assess Probability and Risk -- Methods of Eliciting Subjective Judgments in Project Management -- What If a Decision Is Sensitive to Probability? -- Qualitative Risk Analysis -- PART 4: Quantitative Analysis -- CHAPTER 14: Choosing What Is Most Important: Sensitivity Analysis and Correlations -- What Are Correlations? Why Do We Need to Analyze Them? -- Sources of Correlations in Projects -- Psychology of Correlation and Causation -- How to Improve Your Judgment -- Sensitivity Analysis -- Quantitative Analysis of Correlations -- Crucial Tasks -- Correlations between Tasks -- CHAPTER 15: Decision Trees and the Value of New Information -- What Is a Decision Tree? -- Why Project Managers Avoid Decision Trees (and Why They Shouldn't) -- Converting Project Schedules into Decision Trees -- The Value of Perfect Information -- The Value of Imperfect Information. CHAPTER 16: What Is Project Risk? or PERT and Monte Carlo -- How Much Will It Really Cost? -- PERT -- Statistical Distributions -- The Monte Carlo Technique -- Which Distribution Should Be Used? -- How Many Trials Are Required? -- Analysis of Monte Carlo Results -- Sensitivity and Correlations -- Critical Indices -- Probabilistic Calendars -- Deadlines -- Conditional Branching -- Probabilistic Branching -- Chance of Task Existence -- Is Monte Carlo the Ultimate Solution? -- CHAPTER 17: "A Series of Unfortunate Events," or Event Chain Methodology -- How Events Can Affect a Project -- Basic Principles of Event Chain Methodology -- Principle 1. Moment of risk and state of an activity -- Principle 2: Event chains -- Principle 3: Critical event chains -- Principle 4: Analysis using Monte Carlo simulations -- Principle 5: Performance-tracking with events and event chains -- Principle 6: Event chain diagrams -- Event Chain Methodology Phenomena -- Repeated Activities -- Event Chains and Risk Mitigation -- Resource Leveling Based on Events -- Delays in Event Chains -- How to Use Event Chain Methodology -- Example of Event Chain Methodology -- Event Chain Methodology and Mitigation of Psychological Biases -- Work Breakdown Structure + Risk Breakdown Structure + Analysis = Event Chain Methodology -- CHAPTER 18: The Art of Decision Analysis Reporting -- How to Communicate the Results of Decision Analysis -- Motivational Biases in Reporting Decision Analysis Results -- Put It in Perspective -- Presentations Must Have Meaning -- Expressing Uncertainty -- The Power of Fear -- CHAPTER 19: Making a Choice with Multiple Objectives -- What is Multi-Criteria Decision-Making? -- The Psychology of Balancing Multiple Objectives -- Two Approaches to Multi-Criteria Decision-Making -- Ranking Criteria with the Scoring Model. Advanced Methods of Multi-Criteria Decision-Making -- PART 5: Implementation, Monitoring, and Reviews -- CHAPTER 20: Adaptive Project Management -- Adaptive Management As Part of Project Decision Analysis -- Principles of Adaptive Management -- Principle 1: Use actual project data in combination with original assumptions -- Principle 2: Minimize the cost of decision reversals. ("Try not to kill the cow.")252 -- Principle 3: Make small, sequential decisions -- Principle 4: Support creative business environments -- Principle 5: Identify and fix problems early (avoiding behavioral traps) -- The PMBOK® Guide Approach to Project Executing, Monitoring, and Controlling -- CHAPTER 21: Did You Make the Right Choice? Reviewing Project Decisions -- Why Do We Need Post-Project Reviews? -- How Could We Not Foresee It? -- "I Knew It All Along" -- Overestimating the Accuracy of Past Judgments -- The Peak-End Rule -- The Process of Reviewing Decisions -- Corporate Knowledge Base -- CONCLUSION Does Decision Analysis Provide a Solution? -- Common Misconceptions about Decision Analysis -- Misconception #1: The decision analysis process is not beneficial because it does not ensure project success -- Misconception #2: Decision analysis adds new levels of bureaucracy -- Misconception #3: Only organizations with mature project management processes can benefit from decision analysis -- Why Do We Believe that the Decision Analysis Process Is Important? -- APPENDIX A Risk and Decision Analysis Software -- APPENDIX B Heuristics and Biases in Project Management -- APPENDIX C Risk Templates -- APPENDIX D Multi-Criteria Decision-Making Methodologies -- GLOSSARY -- FUTURE READING -- REFERENCES -- INDEX. Project management is the art of making the right decisions. This book presents the basics of cognitive psychology and quantitative analysis methods to help project managers make better decisions. It helps readers to acquire the essential knowledge and skills required for effective project decision-making. Trumper, Michael https://cds.cern.ch/auth.py?r=EBLIB_P_1938988 ebook ebook EBL Decision making EBL Project management -- Decision making EBL201904 Information Transfer and Management SzGeCERN BOOK n 201915 21 PUBLIC BOOK DELETED 2671060 SzGeCERN 20200715221105.0 9781567262810 print version 9781567263190 electronic version electronic version oai:cds.cern.ch:2671060 cerncds:BOOK EBL 1938948 eng HD69.P75H3774 2011 658.4/04 Haugan, Gregory T Project management fundamentals key concepts and methodology 2nd ed. Oakland Berrett-Koehler Publishers 2010 304 p Intro -- Half Title Page -- Title Page -- Copyright -- About the Author -- Dedication -- Table of Contents -- Preface -- Acknowledgments -- Part 1: Introduction and Overview -- The Project Management Body of Knowledge -- Key Concepts of Project Management -- Key Terms -- The Basic Project Management Process -- Related Concepts -- Part 2: The Project Management Methodology -- A. Initiating Stage -- Step 1. Establish Project Objectives -- 1.1. Develop the Statement of Objectives -- 1.2. Define the Deliverables and Their Requirements -- 1.3. Develop the Project Charter -- B. Planning Stage -- Step 2. Define the Work -- 2.1. Develop the Work Breakdown Structure -- 2.2. Prepare a Statement of Work -- 2.3. Prepare the Specification -- Step 3. Plan the Work -- 3.1. Define Activities and Activity Durations -- 3.2. Develop a Logic Network and Schedule -- 3.3. Assign and Schedule Resources and Costs -- 3.4. Develop the Cost Estimate -- 3.5. Establish Checkpoints and Performance Measures -- 3.6. Establish Project Baselines -- 3.7. Develop the Project Plan -- 3.8. Approve the Project Plan -- C. Executing Stage -- Step 4. Perform the Work -- 4.1. Budget and Authorize the Work -- 4.2. Add Staff Resources -- 4.3. Produce Results -- 4.4. Accommodate Change Requests -- Step 5. Communicate and Coordinate the Work -- 5.1. Coordinate the Work -- 5.2. Prepare Progress Reports -- 5.3. Hold Project Reviews -- D. Controlling Stage -- Step 6. Track Actual Performance -- 6.1. Identify Data and Data Sources/Develop Data Collection Systems -- 6.2. Collect and Record the Data -- Step 7. Analyze Project Progress -- 7.1. Identify Variances from the Baseline, and Determine Trends -- 7.2. Perform Analyses, and Determine Whether Corrective Action Is Needed -- Step 8. Initiate Corrective Action -- 8.1. Identify Action Items -- 8.2. Facilitate Corrective Action. 8.3. Reach a Resolution -- Step 9. Incorporate Changes and Replan as Required -- 9.1. Manage Change -- 9.2. Perform Routine Replanning -- 9.3. Renegotiate Scope as Necessary -- E. Closeout Stage -- Step 10. Complete the Project -- 10.1. Prepare a Closeout Plan and Schedule -- 10.2. Get Customer Agreement, and Notify the Team -- 10.3. Archive Project Data -- 10.4. Prepare a Lessons Learned Document -- 10.5. Bill the Customer -- Part 3: Applying the Methodology -- Start-Up Questions-Step 0 -- Applying the Methodology to the Scenarios -- Scenario 1. Direct Assignment from Supervisor or Sponsor -- Scenario 1, Step 0. Project Phase in the Life Cycle -- Scenario 1, Step 1. Establish Project Objectives -- Scenario 1, Step 2. Define the Work -- Scenario 1, Step 3. Plan the Work -- Scenario 2. Direct Assignment from an Organization You Support -- Scenario 2, Step 0. Project Phase in the Life Cycle -- Scenario 2, Step 1. Establish Project Objectives -- Scenario 3. Project Manager-Outsourcing -- Scenario 3, Step 0. Project Phase in the Life Cycle -- Scenario 3, Step 1. Establish Project Objectives -- Scenario 3, Step 2. Define the Work -- Scenario 3, Step 3. Plan the Work -- Scenario 3, Step 4. Perform the Work -- Scenario 3, Step 5. Communicate and Coordinate the Work -- Scenario 3, Step 6. Track Actual Performance -- Scenario 3, Step 7. Analyze Project Progress -- Scenario 3, Step 8. Initiate Corrective Action -- Scenario 3, Step 9. Incorporate Changes and Replan as Required -- Scenario 3, Step 10. Complete the Project -- Scenario 4. Respond to a Solicitation -- Scenario 4, Step 0. Project Phase in the Life Cycle -- Scenario 4, Step 1. Establish Project Objectives -- Scenario 4, Step 2. Define the Work -- Scenario 4, Step 3. Plan the Work -- Scenario 5. Perform to a Contract -- Scenario 5, Step 0. Project Phase in the Life Cycle. Scenario 5, Step 1. Establish Project Objectives, Step 2. Define the Work, and Step 3. Plan the Work -- Scenario 6. Starting a Totally New Program -- Scenario 6, Step 0. Project Phase in the Life Cycle -- Scenario 6, Step 1. Establish Project Objectives -- Scenario 6, Step 2. Define the Work -- Scenario 6, Step 3. Plan the Work -- Scenario 7: Take Over an Ongoing Project -- Scenario 8: Using Agile Project Management -- Scenario 8, Step 0. Project Phase in the Life Cycle -- Scenario 8, Step 1. Establish Project Objectives -- Scenario 8, Step 2. Define the Work, and Step 3. Plan the Work -- Scenario 8, Step 4. Perform the Work -- Part 4: Environmental and Facilitating Elements -- Environmental Elements -- Management Support -- Project Management Software -- Procedures and Directives -- Project Management Maturity -- Facilitating Elements -- Human Resource Management -- Human Resource Management Process -- Organizational Structures -- Project Participants' Roles and Responsibilities -- Risk Management -- Definitions -- Risk Management Process -- Communications Management -- Communications Management Process -- Need for Communication and Coordination -- Principles of Coordination -- Project Procurement Management -- Configuration Management -- Part 5: Agile Project Management -- Overview -- The Origins of Agile Project Management -- Agile Software Development Methodologies -- Adaptive Software Development -- Crystal Clear Software Development -- Dynamic Systems Development Method -- Extreme Programming -- Feature Driven Development -- Lean Software Development -- SCRUM -- Comparing Agile and Traditional Project Management Methodologies -- Appendix A: Management Maturity Models -- Appendix B: Advanced Project Management Concepts for Further Study -- Appendix C: Project and Program Life Cycles -- Appendix D: Types of Projects 341. Appendix E: Project Communications Systems and Networking -- Bibliography -- Index. Offers a foundation in the basics of the discipline. Using a step-by-step approach and conventional project management (PM) terminology, this guide focuses on how PM methods, tools and techniques can be adapted for use on any project and put into place immediately. https://cds.cern.ch/auth.py?r=EBLIB_P_1938948 ebook ebook EBL201904 Information Transfer and Management SzGeCERN BOOK n 201915 21 PUBLIC BOOK DELETED 2670659 SzGeCERN 20210422083258.0 9783030011550 print version 9783030011567 electronic version electronic version 9783030011574 print version DOI 10.1007/978-3-030-01156-7 e-proceedings oai:cds.cern.ch:2670659 cerncds:CONF Inspire 1621485 eng QA614-614.97 514.74 23 20170702 36th Bialowieza Workshop on Geometric Methods in Physics Bialowieza, Poland 2 - 8 Jul 2017 2017 bialowieza20170702 36 PL WGMP 36 20170708 Cham Springer 2019 ebook Trends in mathematics 2297-0215 FM -- Part I:Quantum Mechanics and Mathematics – Twareque Ali in Memoriam.-In Memory of S. Twareque Ali -- Two-dimensional non commutative Swanson model and its bicoherent states -- Universal Markov kernels for quantum observables -- Coherent states associated to the Jacobi group and Berezin quantization of the Siegel-Jacobi ball -- 1D & 2D Covariant affine integral quantizations -- Diffeomorphism group representations in relativistic quantum field theory -- Part II: Noncommutative Geometry -- Skew derivations on down-up algebras -- On noncommutative geometry of the Standard Model: fermion multiplet as internal forms -- Recursion operator in a noncommutative Minkowski phase space -- Decompactifying spectral triples -- Dirac operator on a noncommutative Toeplitz torus -- Part III: Quantization -- Field quantization in the presence of external fields -- Quantization of Mathematical Theory of Non-Smooth Strings -- The reasonable effctiveness of mathematical deformation theory in physics -- Axiomatic attempt at states in deformation quantisation -- Exact Lagrangian submanifolds and the moduli space of special Bohr-Sommerfeld Lagrangian cycles -- Star Exponentials in Star Product Algebra -- Part IV: Integrable Systems -- Beyond recursion operators -- Kepler Problem and Jordan Algebras -- On Rank Two Algebro-Geometric Solutions of an Integrable Chain -- Part V: Differential Geometry and Physics -- The Dressing Field Method of Gauge Symmetry Reduction: Presentation and Examples -- A differential model for B-type Landau-Ginzburg theories -- On the Dirac type operators on symmetric tensors -- Surfaces which behave like vortex lines -- On the spin geometry of supergravity and string theory -- Conic sub-Hilbert-Finsler structure on a Banach manifold -- On Spherically Symmetric Finsler metrics.-Part VI: Topics in Spectral Theory -- Homogeneous rank one perturbations and inverse square potentials -- Generalized Unitarity Relation for Linear Scattering Systems in One Dimension -- Differential equations on polytopes: Laplacians and Lagrangian manifolds, corresponding to semiclassical motion.-Part VII: Representation Theory -- Coadjoint orbits in representation theory of pro-Lie groups -- Conformal symmetry breaking on differential forms and some applications -- Representations of the anyon commutation relations.-Part VIII: Special Topics -- Remarks to the Resonance-Decay Problemin Quantum Mechanics from a Mathematical Point of View -- Dynamical generation of grapheme -- Eight kinds of orthogonal polynomials of Weyl group C2 and tau method -- Links between quantum chaos and counting problems -- Part IX: Extended Abstracts of the Lectures at “School on Geometry and Physics” -- Integral invariants (Poincaré-Cartan) and hydrodynamics -- Invitation to Hilbert C∗ -modules and Morita-Rieffel equivalence -- After Plancherel formula -- A glimpse of noncommutative geometry -- An Example of Banach and Hilbert manifold: the universal Teichmüller space -- Extensions of Symmetric Operators and Evolution Equations on Singular Spaces. This book collects papers based on the XXXVI Białowieża Workshop on Geometric Methods in Physics, 2017. The Workshop, which attracts a community of experts active at the crossroads of mathematics and physics, represents a major annual event in the field. Based on presentations given at the Workshop, the papers gathered here are previously unpublished, at the cutting edge of current research, and primarily grounded in geometry and analysis, with applications to classical and quantum physics. In addition, a Special Session was dedicated to S. Twareque Ali, a distinguished mathematical physicist at Concordia University, Montreal, who passed away in January 2016. For the past six years, the Białowieża Workshops have been complemented by a School on Geometry and Physics, comprising a series of advanced lectures for graduate students and early-career researchers. The extended abstracts of this year’s lecture series are also included here. The unique character of the Workshop-and-School series is due in part to the venue: a famous historical, cultural and environmental site in the Białowieża forest, a UNESCO World Heritage Centre in eastern Poland. Lectures are given in the Nature and Forest Museum, and local traditions are interwoven with the scientific activities. Mathematics and statistics SPR201904 SzGeCERN Mathematical Physics and Mathematics SPR Global analysis SPR Group theory SPR Functions, special SPR Geometry SPR Global Analysis and Analysis on Manifolds SPR Group Theory and Generalizations SPR Special Functions CONFERENCE PROCEEDINGS Kielanowski, Piotr ed. Odzijewicz, Anatol ed. Previato, Emma ed. Geometric Methods in Physics XXXVI WGMP 36 Acronym SPR n 201914 201904 42 PUBLIC https://catalogue.library.cern/legacy/2670659 PROCEEDINGS MIGRATED 2676575 SzGeCERN 20191015172832.0 DOI SISSA 10.22323/1.301.1099 oai:inspirehep.net:1687052 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS HAL hal-01890925 http://inspirehep.net/oai2d 2019-05-28T04:01:23Z marcxml oai:inspirehep.net:1687052 2019-05-27T15:09:06Z Inspire 1687052 eng Menjo, Hiroaki menjo@isee.nagoya-u.ac.jp Nagoya U. SISSA Status of the LHCf experiment SISSA 2017 13 p SISSA The LHCf experiment is an LHC experiment dedicated to measure the production spectra of forward neutral particles, photons, π0’s, and neutrons. The aim of the LHCf is to provide critical data to test and tune hadronic interaction models which are used in MC simulations for cosmic-ray air shower developments. The LHCf had an operation in 2015 with pp collisions at $\sqrt{s}$ = 13 TeV, which corresponds to the collision energy of $0.9×10^{17}$eV in the laboratory frame. The resent results of the LH√Cf, the inclusive energy spectra for forward photons and neutrons obtained with pp collisions at $\sqrt{s}$ = 13 TeV, are presented. In addition, future prospects of LHCf analyses and activities are reviewed. CC-BY-NC-ND-4.0 SISSA publication SzGeCERN Particle Physics - Experiment CERN CERN LHC LHCf Adriani, Oscar Florence U. INFN, Florence INFN Section of Florence, Florence, Italy Berti, Eugenio Florence U. INFN, Florence INFN Section of Florence, Florence, Italy Bonechi, Lorenzo INFN, Florence Bongi, Massimo Florence U. INFN, Florence University of Florence, Florence, Italy Castellini, Guido IFAC, Florence D'Alessandro, Raffaello Nagoya U. INFN, Florence Haguenauer, Maurice Ec. Polytech., Palaiseau (main) Itow, Yoshitaka Nagoya U., ISEE KMI, Nagoya Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, Nagoya, Japan Kasahara, Katsuaki Waseda U., RISE Masuda, Kimiaki Nagoya U., ISEE Matsubara, Yutaka Nagoya U., ISEE Muraki, Yasushi Nagoya U., ISEE Oohashi, Ken Nagoya U., ISEE Papini, Pauro INFN, Florence Ricciarini, Sergio B INFN, Florence IFAC, Florence IFAC-CNR, Florence, Italy Sako, Takashi Nagoya U., ISEE KMI, Nagoya Institute for Space-Earth Environmental Research, Nagoya University, Nagoya, Japan Sakurai, Nobuyuki Tokushima U. Sato, Kenta Nagoya U., ISEE Shimizu, Yuki Kanagawa U. Shinoda, Maiko Nagoya U., ISEE Suzuki, Takuya Waseda U., RISE Tamura, Tadashi Kanagawa U. Tiberio, Alessio INFN, Florence Torii, Shoji Waseda U., RISE Tricomi, Alessia INFN, Catania Catania U. University of Catania, Catania, Italy Turner, Bill Shibaura Inst. Tech. Ueno, Mana Nagoya U., ISEE Yoshida, Kenji Shibaura Inst. Tech. Zhou, Qudong Nagoya U., ISEE 1099 C17-07-12 2018 PoS ICRC2017 https://pos.sissa.it/301/1099/pdf PoS server 1483284 1500640 http://cds.cern.ch/record/2676575/files/PoS(ICRC2017)1099.pdf Fulltext 13 2273522 busan20170712 1099 ARTICLE ConferencePaper 0-0-0-0-0-0-1 2018-08-14 17:45:00 Invenio/1.1.2.1260-aa76f refextract/1.5.44 content.pdf;1 1307231 Pierre Auger Collaboration, Muons in air showers at the Pierre Auger Observatory: Measurement of atmospheric production depth 1 Phys.Rev.,D90,012012 2014 1317612 Observatory. I. Pierre Auger Collaboration, Depth of maximum of air-shower profiles at the Pierre Auger Measurements at energies above 1017.8 eV 2 Phys.Rev.,D90,122005 2014 710481 LHCf Collaboration, Technical design report of the LHCf experiment: Measurement of photons and neutral pions in the very forward region of LHC 3 CERN-LHCC-2006-004 2006 1647192 Y. Makino Measurement of the very-forward photon production in 13 TeV proton-proton collisions at the LHC, PhD thesis, Nagoya University 4 CERN-THESIS-2017-049 2017 796249 LHCf Collaboration, The LHCf detector at the CERN Large Hadron Collider 5 JINST,3,S08006 2008 1518782 LHCf Collaboration, Measurement of forward photon-energy spectra for â´LŽs = 13 TeV proton-proton collisions with the LHCf detector [hep-ex/170307678] 6 CERN-EP-2017-051 872658 Sergey Ostapchenko, Monte Carlo treatment of hadronic interactions in enhanced Pomeron scheme:I. QGSJET-II model 7 Phys.Rev.,D83,014018 2011 1236629 T. Pierog Iu. Karpenko, J. M. Katzy, E Yatsenko, and K. Werner, EPOS LHC: Test of collective hadronization with data measured at the CERN Large Hadron Collider 8 Phys.Rev.,C92,034906 2015 682032 Fritz W. Bopp, J. Ranft, R. Engel, and S. Roesler Antiparticle to Particle Production Ratios in Hadron-Hadron and d-Au Collisions in the DPMJET-III Monte Carlo 9 Phys.Rev.,C77,014904 2008 823839 Thomas K. Gaisser Eun-Joo Ahn, Ralph Engel Paolo Lipari, and Todor Stanev, Cosmic ray interaction event generator SIBYLL 2.1 10 Phys.Rev.,D80,094003 2009 764903 Peter Z. Skands, A Brief Introduction Torbjorn Sjostrand, Stephen Mrenna, and to PYTHIA 8.1 11 Comput.Phys.Commun.,178,852-867 2008 E. Berti Measurement of energy spectra relative to neutrons produced at very small angle in √ s = 13 TeV proton-proton collisions using the LHCf Arm2 detector, PhD thesis, University of Florence 12 CERN-THESIS-2017-035 2017 1385877 LHCf Collaboration, Measurements of longitudinal and transverse momentum distributions for neutral pions in the forward-rapidity region with the LHCf detector 13 Phys.Rev.,D94,032007 2016 1499717 Qi-Dong Zhou, Yoshitaka Itow, Hiroaki Menjo, and Takashi Sako, Monte Carlo study of particle production in diffractive proton-proton collisions at √ s = 13 TeV with the very forward detector combined with central information 14 Eur.Phys.J.,C77,212 2017 RHICf Collaboration, Measurement of very forward particle production at RHIC with √ s = 510 GeV proton-proton collisions, Proceedings of ICRC 15 2017 2675764 SzGeCERN 20210421202413.0 9781119610663 electronic version electronic version 9781786303417 electronic version electronic version 9781786303417 print version oai:cds.cern.ch:2675764 cerncds:BOOK EBL 5750619 eng TS171.95 .6756 2019 621.988 Perrot, Arnaud 3D printing of concrete state of the art and challenges of the digital construction revolution Newark, NJ John Wiley & Sons 2019 175 p ebook Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Introduction -- I.1. Context of the book -- I.2. Current research topics and scientific challenges -- I.3. Structure of the book -- I.4. References -- 1. 3D Printing in Concrete: General Considerations and Technologies -- 1.1. Introduction -- 1.2. General considerations for 3D printing and additive fabrication -- 1.2.1. What is 3D printing? -- 1.2.2. Towards the 3D printing of cement-based materials -- 1.3. The digital and additive fabrication of cement materials -- 1.3.1. Introduction -- 1.3.2. Printed methods using extrusion and deposition -- 1.3.3. Methods of printing by injection into a particle bed -- 1.3.4. Alternative printing methods -- 1.4. A classification of 3D printing methods for concrete -- 1.4.1. Philosophy -- 1.4.2. Classification parameters -- 1.4.3. Example of classification -- 1.5. References -- 2. 3D Printing in Concrete: Techniques for Extrusion/Casting -- 2.1. Introduction -- 2.2. Breakdown of the process into stages -- 2.3. Behavior during the fresh state and the printing stage -- 2.3.1. Rheology of cement-based materials -- 2.3.2. Pumping -- 2.3.3. Extrusion -- 2.3.4. Stability of an elemental layer during deposition -- 2.3.5. Overall stability of the printed structure in a wet state -- 2.4. Other problems occurring during concrete extrusion printing -- 2.4.1. Elastic deformation and accuracy of the deposition -- 2.4.2. Shrinkage and cracking during drying -- 2.4.3. Bonding between layers - weakness at the interface between layers -- 2.4.4. Concept of time windows -- 2.5. Conclusion -- 2.6. References -- 3. 3D Printing by Selective Binding in a Particle Bed: Principles and Challenges -- 3.1. Introduction -- 3.2. Classification of selective printing processes and strategies -- 3.2.1. Selective cement activation -- 3.2.2. Selective paste intrusion. 3.2.3. Injection of the binder -- 3.3. State of the art of selective printing and major achievements -- 3.4. Scientific challenges -- 3.4.1. Selective cement activation and the effect of water penetration -- 3.4.2. Selective intrusion and penetration by cement paste -- 3.4.3. Towards modeling in 3D -- 3.5. Conclusion -- 3.6. References -- 4. Mechanical Behavior of 3D Printed Cement Materials -- 4.1. Introduction -- 4.2. Mechanical performance of the cement materials printed using the extrusion/deposition method -- 4.2.1. Effect of extrusion on the mechanical characteristics of cement-based composites -- 4.2.2. Mechanical behavior of 3D printed cement materials -- 4.3 Effects of the additive fabrication method on the mechanical behavior of cement-based materials -- 4.3.1. Printed concrete = anisotropic stratified materials: possible causes -- 4.3.2. Effects of the printing process parameters on the mechanical properties -- 4.4. Mechanical behavior obtained with other methods of 3D printing of cement-based materials -- 4.4.1. Production using robotic sliding castings ("Smart Dynamic Casting") -- 4.4.2. Printing using the method of injection into a particle bed -- 4.5. Conclusion -- 4.6. References -- 5. 3D Printing with Concrete: Impact and Designs of Structures -- 5.1. Introduction -- 5.2. Freedom of forms: architectural liberation and topological optimization -- 5.2.1. 3D printing with concrete: a boon for architects? -- 5.2.2. Towards the creation of structures with optimized shapes? -- 5.2.3. Could 3D concrete printers go through a transition similar to the transition from black and white to color? -- 5.3. Design of structures: reinforcement strategies and design codes -- 5.3.1. The use of fibers -- 5.3.2. External reinforcements -- 5.3.3. Steel wire placed within the extruded material -- 5.3.4. Dedicated spaces acting as lost formworks. 5.3.5. Wrapping of reinforcement elements set in place beforehand -- 5.3.6. Towards a specific design code? -- 5.4. Impacts of 3D printing -- 5.4.1. Environmental impact -- 5.4.2. Societal impact -- 5.4.3. Economic impact -- 5.5. Conclusion -- 5.6. References -- List of Authors -- Index -- Other titles from iSTE in Civil Engineering and Geomechanics -- EULA. EBL201905 Engineering SzGeCERN EBL Three-dimensional printing BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5750619 ebook n 201920 201905 21 PUBLIC https://catalogue.library.cern/legacy/2675764 BOOK MIGRATED 2675687 SzGeCERN 20210421202420.0 9781119423324 electronic version electronic version 9781119423348 electronic version electronic version 9781119423348 print version oai:cds.cern.ch:2675687 cerncds:BOOK EBL 5747370 eng TK5105.59 .W377 2019 005.8 Warsinske, John The official (ISC)2 guide to the CISSP CBK reference 5th ed. Newark, NJ John Wiley & Sons 2019 931 p ebook Intro -- CISSP The Official (ISC)2® CISSP® CBK® Reference -- Lead Author and Lead Technical Reviewer -- Contributing Authors -- Technical Reviewers -- Contents at a Glance -- Contents -- Foreword -- Introduction -- Security and Risk Management -- Asset Security -- Security Architecture and Engineering -- Communication and Network Security -- Identity and Access Management (IAM) -- Security Assessment and Testing -- Security Operations -- Software Development Security -- Domain 1: Security and Risk Management -- Understand and Apply Concepts of Confidentiality, Integrity, and Availability -- Information Security -- Evaluate and Apply Security Governance Principles -- Alignment of Security Functions to Business Strategy, Goals, Mission, and Objectives -- Vision, Mission, and Strategy -- Governance -- Due Care -- Determine Compliance Requirements -- Legal Compliance -- Jurisdiction -- Legal Tradition -- Legal Compliance Expectations -- Understand Legal and Regulatory Issues That Pertain to Information Security in a Global Context -- Cyber Crimes and Data Breaches -- Privacy -- Understand, Adhere to, and Promote Professional Ethics -- Ethical Decision-Making -- Established Standards of Ethical Conduct -- (ISC)² Ethical Practices -- Develop, Document, and Implement Security Policy, Standards, Procedures, and Guidelines -- Organizational Documents -- Policy Development -- Policy Review Process -- Identify, Analyze, and Prioritize Business Continuity Requirements -- Develop and Document Scope and Plan -- Risk Assessment -- Business Impact Analysis -- Develop the Business Continuity Plan -- Contribute to and Enforce Personnel Security Policies and Procedures -- Key Control Principles -- Candidate Screening and Hiring -- Onboarding and Termination Processes -- Vendor, Consultant, and Contractor Agreements and Controls -- Privacy in the Workplace. Understand and Apply Risk Management Concepts -- Risk -- Risk Management Frameworks -- Risk Assessment Methodologies -- Understand and Apply Threat Modeling Concepts and Methodologies -- Threat Modeling Concepts -- Threat Modeling Methodologies -- Apply Risk-Based Management Concepts to the Supply Chain -- Supply Chain Risks -- Supply Chain Risk Management -- Establish and Maintain a Security Awareness, Education, and Training Program -- Security Awareness Overview -- Developing an Awareness Program -- Training -- Summary -- Domain 2: Asset Security -- Asset Security Concepts -- Data Policy -- Data Governance -- Data Quality -- Data Documentation -- Data Organization -- Identify and Classify Information and Assets -- Asset Classification -- Determine and Maintain Information and Asset Ownership -- Asset Management Lifecycle -- Software Asset Management -- Protect Privacy -- Cross-Border Privacy and Data Flow Protection -- Data Owners -- Data Controllers -- Data Processors -- Data Stewards -- Data Custodians -- Data Remanence -- Data Sovereignty -- Data Localization or Residency -- Government and Law Enforcement Access to Data -- Collection Limitation -- Understanding Data States -- Data Issues with Emerging Technologies -- Ensure Appropriate Asset Retention -- Retention of Records -- Determining Appropriate Records Retention -- Retention of Records in Data Lifecycle -- Records Retention Best Practices -- Determine Data Security Controls -- Technical, Administrative, and Physical Controls -- Establishing the Baseline Security -- Scoping and Tailoring -- Standards Selection -- Data Protection Methods -- Establish Information and Asset Handling Requirements -- Marking and Labeling -- Handling -- Declassifying Data -- Storage -- Summary -- Domain 3: Security Architecture and Engineering. Implement and Manage Engineering Processes Using Secure Design Principles -- Saltzer and Schroeder's Principles -- ISO/IEC 19249 -- Defense in Depth -- Using Security Principles -- Understand the Fundamental Concepts of Security Models -- Bell-LaPadula Model -- The Biba Integrity Model -- The Clark-Wilson Model -- The Brewer-Nash Model -- Select Controls Based upon Systems Security Requirements -- Understand Security Capabilities of Information Systems -- Memory Protection -- Virtualization -- Secure Cryptoprocessor -- Assess and Mitigate the Vulnerabilities of Security Architectures, Designs, and Solution Elements -- Client-Based Systems -- Server-Based Systems -- Database Systems -- Cryptographic Systems -- Industrial Control Systems -- Cloud-Based Systems -- Distributed Systems -- Internet of Things -- Assess and Mitigate Vulnerabilities in Web-Based Systems -- Injection Vulnerabilities -- Broken Authentication -- Sensitive Data Exposure -- XML External Entities -- Broken Access Control -- Security Misconfiguration -- Cross-Site Scripting -- Using Components with Known Vulnerabilities -- Insufficient Logging and Monitoring -- Cross-Site Request Forgery -- Assess and Mitigate Vulnerabilities in Mobile Systems -- Passwords -- Multifactor Authentication -- Session Lifetime -- Wireless Vulnerabilities -- Mobile Malware -- Unpatched Operating System or Browser -- Insecure Devices -- Mobile Device Management -- Assess and Mitigate Vulnerabilities in Embedded Devices -- Apply Cryptography -- Cryptographic Lifecycle -- Cryptographic Methods -- Public Key Infrastructure -- Key Management Practices -- Digital Signatures -- Non-Repudiation -- Integrity -- Understand Methods of Cryptanalytic Attacks -- Digital Rights Management -- Apply Security Principles to Site and Facility Design -- Implement Site and Facility Security Controls -- Physical Access Controls. Wiring Closets/Intermediate Distribution Facilities -- Server Rooms/Data Centers -- Media Storage Facilities -- Evidence Storage -- Restricted and Work Area Security -- Utilities and Heating, Ventilation, and Air Conditioning -- Environmental Issues -- Fire Prevention, Detection, and Suppression -- Summary -- Domain 4: Communication and Network Security -- Implement Secure Design Principles in Network Architectures -- Open Systems Interconnection and Transmission Control Protocol/Internet Protocol Models -- Internet Protocol Networking -- Implications of Multilayer Protocols -- Converged Protocols -- Software-Defined Networks -- Wireless Networks -- Internet, Intranets, and Extranets -- Demilitarized Zones -- Virtual LANs -- Secure Network Components -- Firewalls -- Network Address Translation -- Intrusion Detection System -- Security Information and Event Management -- Network Security from Hardware Devices -- Transmission Media -- Endpoint Security -- Implementing Defense in Depth -- Content Distribution Networks -- Implement Secure Communication Channels According to Design -- Secure Voice Communications -- Multimedia Collaboration -- Remote Access -- Data Communications -- Virtualized Networks -- Summary -- Domain 5: Identity and Access Management -- Control Physical and Logical Access to Assets -- Information -- Systems -- Devices -- Facilities -- Manage Identification and Authentication of People, Devices, and Services -- Identity Management Implementation -- Single Factor/Multifactor Authentication -- Accountability -- Session Management -- Registration and Proofing of Identity -- Federated Identity Management -- Credential Management Systems -- Integrate Identity as a Third-Party Service -- On-Premise -- Cloud -- Federated -- Implement and Manage Authorization Mechanisms -- Role-Based Access Control -- Rule-Based Access Control. Mandatory Access Control -- Discretionary Access Control -- Attribute-Based Access Control -- Manage the Identity and Access Provisioning Lifecycle -- User Access Review -- System Account Access Review -- Provisioning and Deprovisioning -- Auditing and Enforcement -- Summary -- Domain 6: Security Assessment and Testing -- Design and Validate Assessment, Test, and Audit Strategies -- Assessment Standards -- Conduct Security Control Testing -- Vulnerability Assessment -- Penetration Testing -- Log Reviews -- Synthetic Transactions -- Code Review and Testing -- Misuse Case Testing -- Test Coverage Analysis -- Interface Testing -- Collect Security Process Data -- Account Management -- Management Review and Approval -- Key Performance and Risk Indicators -- Backup Verification Data -- Training and Awareness -- Disaster Recovery and Business Continuity -- Analyze Test Output and Generate Report -- Conduct or Facilitate Security Audits -- Internal Audits -- External Audits -- Third-Party Audits -- Integrating Internal and External Audits -- Auditing Principles -- Audit Programs -- Summary -- Domain 7: Security Operations -- Understand and Support Investigations -- Evidence Collection and Handling -- Reporting and Documentation -- Investigative Techniques -- Digital Forensics Tools, Techniques, and Procedures -- Understand Requirements for Investigation Types -- Administrative -- Criminal -- Civil -- Regulatory -- Industry Standards -- Conduct Logging and Monitoring Activities -- Define Auditable Events -- Time -- Protect Logs -- Intrusion Detection and Prevention -- Security Information and Event Management -- Continuous Monitoring -- Ingress Monitoring -- Egress Monitoring -- Securely Provision Resources -- Asset Inventory -- Asset Management -- Configuration Management -- Understand and Apply Foundational Security Operations Concepts. Need to Know/Least Privilege. EBL201905 Computing and Computers SzGeCERN BOOK Graff, Mark Henry, Kevin Hoover, Christopher Malisow, Ben Murphy, Sean Oakes, Charles Pajari, George Parker, Jeff T Seidl, David https://cds.cern.ch/auth.py?r=EBLIB_P_5747370 ebook n 201920 201905 21 PUBLIC https://catalogue.library.cern/legacy/2675687 BOOK MIGRATED 2675675 SzGeCERN 20210421202422.0 9781536147261 electronic version electronic version 9781536147261 print version 9781536147445 electronic version electronic version oai:cds.cern.ch:2675675 cerncds:BOOK EBL 5746457 eng QC475 .X536 2019 539.2 Xiao, Perry Advances in radiometry research New York, NY Nova Science Publishers 2019 285 p ebook Physics research and technology Intro -- ADVANCES IN RADIOMETRY RESEARCH -- ADVANCES IN RADIOMETRY RESEARCH -- CONTENTS -- PREFACE -- How Is This Book Organized -- Who Is This Book For -- Suggested Prerequisite Readings -- Electronics: -- Programming: -- Mathematics: -- Physics: -- ACKNOWLEDGMENTS -- PART I. INTRODUCTION TO RADIOMETRY -- Chapter 1RADIOMETRY IN A NUTSHELL -- 1.1. WHAT IS RADIOMETRY? -- 1.2. RADIOMETRY APPLICATIONS -- 1.3. SUMMARY -- 1.4. QUESTIONS -- Chapter 2RADIOMETRY, PHOTOMETRY AND COLORIMETRY -- 2.1. ELECTROMAGNETIC WAVES -- 2.1.1. Radio -- 2.1.2. Microwave -- 2.1.3. Infrared -- 2.1.4. Visible Light -- 2.1.5. Ultraviolet -- 2.1.6. X-Rays -- 2.1.7. Gamma-Rays -- 2.2. RADIOMETRY -- 2.2.1. Basic Radiometric Quantities -- 2.2.2. Spectral Radiometric Quantities -- 2.2.3. Lambertian Sources -- 2.2.4. Radiometry Applications -- 2.3. PHOTOMETRY -- 2.3.1. Basic Photometric Quantities -- 2.3.1.1. Luminous Flux -- 2.3.1.2. Luminous Intensity -- 2.3.1.3. Luminous Energy -- 2.3.1.4. Luminance -- 2.3.1.5. Illuminance -- 2.3.2. Photometry Applications -- 2.4. COLORIMETRY -- 2.5. SUMMARY -- 2.6. REFERENCES -- 2.7. QUESTIONS -- Chapter 3THEORETICAL BACKGROUND OF RADIOMETRY -- 3.1. BLACKBODY, WHITEBODY AND GRAYBODY -- 3.2. BLACKBODY RADIATION -- 3.3. ULTRAVIOLET CATASTROPHE (RAYLEIGH-JEANS LAW) -- 3.4. WIEN'S LAW -- 3.5. THE PEAK OF BLACKBODY RADIATION -- 3.6. THE TOTAL POWER OF BLACKBODY RADIATION -- 3.7. THE GRAYBODY RADIATION -- 3.8. THE TOTAL POWER OF GRAYBODY RADIATION -- 3.9. THE RADIATION OF A REAL WORLD OBJECT -- 3.10. RADIOMETRY MEASUREMENTS -- 3.11. SUMMARY -- 3.12. REFERENCES -- 3.13. QUESTIONS -- Chapter 4RADIOMETRY SOURCES -- 4.1. INTRODUCTION -- 4.2. NON-COHERENT LIGHT SOURCES -- 4.2.1. Incandescence -- 4.2.1.1. Tungsten Bulb -- 4.2.1.2. Halogen Bulb -- 4.2.1.3. Globar -- 4.2.1.4. Nernst Lamps -- 4.2.2. Luminescence -- 4.2.2.1. LEDs (Light Emitting Diode). 4.2.3. Gas Discharge -- 4.2.3.1. Fluorescent Lamps -- 4.2.3.2. Flash Lamps (Xenon Lamps) -- 4.3. COHERENT LIGHT SOURCES -- 4.3.1. Gas Lasers -- 4.3.2. Chemical Lasers -- 4.3.3. Excimer Lasers -- 4.3.4. Solid-State Lasers -- 4.3.5. Dye Lasers -- 4.3.6 Semiconductor Lasers -- 4.3.7. QCL (Quantum Cascade Lasers) -- 4.4. SUMMARY -- 4.5. REFERENCES -- 4.6. QUESTIONS -- Chapter 5RADIOMETRY DETECTORS -- 5.1. INTRODUCTION -- 5.2. PHOTODETECTORS -- 5.2.1. Avalanche Photodiodes (APD) -- 5.2.2. Photomultipliers -- 5.2.3. Charge-Coupled Devices (CCD) -- 5.2.4. Photoresistors -- 5.3. THERMAL DETECTORS -- 5.3.1. Bolometers/Microbolometer -- 5.3.2. Thermocouples/Thermopiles -- 5.3.3. Pyroelectric Detectors -- 5.4. COMMONLY USED DETECTORS -- 5.4.1. MCT Detectors -- 5.4.4. InAsSb Detectors -- 5.4.5. InGaAs Detectors -- 5.4.6. PbS and PbSe Detectors -- 5.4.7. Ge Detectors -- 5.4.8. Si Detectors -- 5.4.2. InSb Detectors -- 5.4.3. InAs Detectors -- 5.5. ADVANCED DETECTORS -- 5.5.1. Multiple Channel Detectors -- 5.5.2. Tunable Detectors -- 5.5.3. Stirling Cooled Detectors -- 5.5.4. MCT Array/Matrix Detectors -- 5.5.5. High Definition Thermal Cameras -- 5.5.6. High Speed Thermal Cameras -- 5.5.7. Hyperspectral and Multispectral Thermal Cameras -- 5.5.7.1. Hyperspectral Thermal Cameras -- 5.5.7.2. Multispectral Thermal Cameras -- 5.5.8. Compact Thermal Cameras -- 5.5.9. TeraHertz Camera -- 5.6. SUMMARY -- 5.7. QUESTIONS -- Chapter 6RADIOMETRY OPTICAL SYSTEMS -- 6.1. INTRODUCTION -- 6.2. BASIC OPTICAL COMPONENTS -- 6.2.1. Lens -- 6.2.2. Prisms -- 6.2.2.1. Right Angle Prisms -- 6.2.2.4. Infrared (IR) Right Angle Prisms -- 6.2.2.2. Dispersion Prisms -- 6.2.2.3. Penta Prisms -- 6.2.3. Beamsplitters -- 6.2.4. Mirrors -- 6.2.4.1. Plane Mirrors -- 6.2.4.2. Spherical Mirrors -- 6.2.4.3. Ellipsoidal Mirrors -- 6.2.4.4. Parabolic Mirrors -- 6.2.4.5. Dichroic Mirrors. 6.2.4.6. Hot and Cold Mirrors -- 6.2.5. Optical Filters -- 6.3. OPTICAL FIBERS -- 6.4. UV AND IR OPTICS -- 6.5. MONOCHROMATORS -- 6.6. OPTICAL OBJECTIVES -- 6.6.1. Refractive Objectives -- 6.6.2. Reflective Objectives -- 6.6.3. Schwarzschild Reflective Objectives -- 6.7. DETECTION OPTICAL SYSTEMS -- 6.7.1. Detection Optical Systems Examples -- 6.8. SUMMARY -- 6.9. REFERENCES -- 6.10. QUESTIONS -- PART II. ADVANCES IN RADIOMETRY RESEARCH -- Chapter 7RADIOMETRY RESEARCH FOR BIOMEDICAL APPLICATIONS -- 7.1. BIOMEDICAL SPECTROSCOPY -- 7.2. PHOTOTHERMAL THERAPY -- 7.3. GLUCOSE DETECTION -- 7.4. ALCOHOL DETECTION -- 7.5. DENTAL DETECTION -- 7.6. MEDICAL THERMOGRAPHY -- 7.7. INTERNAL BODY TEMPERATURE TRACKING -- 7.8. SUMMARY -- 7.9. REFERENCES -- 7.10. QUESTIONS -- Chapter 8RADIOMETRY RESEARCH FOR INDUSTRIAL APPLICATIONS AND NON-DESTRUCTIVE TESTING -- 8.1. THERMAL PROPERTY MEASUREMENTS -- 8.2. OPTICAL PROPERTY MEASUREMENTS -- 8.3. THICKNESS MEASUREMENTS -- 8.4. THERMAL NONDESTRUCTIVE TESTING (TNDT) -- 8.4.1. NDT Techniques: Thermography -- 8.4.2. Thermography with Robotic Arms -- 8.5. MICROWAVE RADIOMETRY FOR NDT -- 8.6. PHOTOTHERMAL COHERENCE TOMOGRAPHY -- 8.7. SUMMARY -- 8.8. REFERENCES -- 8.9. QUESTIONS -- Chapter 9RADIOMETRY RESEARCH FOR ASTRONOMY AND ENVIRONMENTAL APPLICATIONS -- 9.1. COSMIC MICROWAVE BACKGROUND MEASUREMENTS -- 9.2. COSMIC DOUBLE SLIT EXPERIMENT -- 9.3. RADIOMETRY FOR ENVIRONMENTAL REMOTE SENSING -- 9.4. DETECTION OF TRACE OF EXPLOSIVES -- 9.5. DETECTION OF SURFACE CONTAMINATIONS -- 9.6. SUMMARY -- 9.7. REFERENCES -- 9.8. QUESTIONS -- Chapter 10PHOTOTHERMAL RADIOMETRY AND RELATED TECHNIQUES -- 10.1. INTRODUCTION TO PHOTOTHERMAL RADIOMETRY -- 10.2. THE THEORETICAL BACKGROUND OF PHOTOTHERMAL RADIOMETRY -- 10.3. PHOTOTHERMAL MICROSCOPY -- 10.4. PHOTOTHERMAL SPECTROSCOPY -- 10.5. PHOTOTHERMAL MICROSPECTROSCOPY. 10.6. PHOTOACOUSTIC MICROSCOPY -- 10.7. SUMMARY -- 10.8. REFERENCES -- 10.9. QUESTIONS -- Chapter 11PROTOTYPING LOW COST RADIOMETRY MEASUREMENT DEVICES -- 11.1. INTRODUCTION -- 11.2. LOW COST LASERS -- 11.3. LOW COST INFRARED DETECTORS -- 11.4. LOW COST THERMAL CAMERA MODULES -- 11.4.1. FLIR -- 11.4.2. Seek Thermal -- 11.4.3. Therm-App -- 11.4.4. Catphones -- 11.5. LOW COST OPTICS -- 11.6. LOW COST PCB -- 11.6.1. Free PCB Design Software -- DesignSpark PCB -- KiCad -- ExpressPCB -- Fritzing -- TinyCAD -- 11.6.2. Low Cost PCB Hardware -- 11.7. 3D PRINTER AND CNC MACHINE -- 11.8. SUMMARY -- 11.9. QUESTIONS -- APPENDICES -- APPENDIX A. SYMBOLS AND ACRONYMS -- SYMBOLS -- ACRONYMS -- APPENDIX B. MATLAB EXAMPLE CODE -- EXAMPLE 1: MATLAB EXAMPLE FOR BLACK BODY RADIATION -- EXAMPLE 2: MATLAB EXAMPLE FOR READING A TEXT FILE AND/OR EXCEL FILE -- EXAMPLE 3: MATLAB EXAMPLE FOR LEAST SQUARE FITTING -- EXAMPLE 4: MATLAB EXAMPLE FOR DEEP LEARNING -- APPENDIX C. WOLFRAMALPHA -- APPENDIX D. A LIST OF OPTICAL, INFRARED AND LASER COMPONENTS SUPPLIERS -- Optical and Infrared Components -- Laser and Detectors -- Thermal Cameras -- Spectrometer and Optical Systems -- APPENDIX E. RADIOMETRY BOOKS -- Introduction to Radiometry (Tutorial Texts) -- Introduction to Radiometry and Photometry, Second Edition (Optoelectronics) -- Radiometry and the Detection of Optical Radiation -- Conduction of Heat in Solids (Second Edition) -- Thermal Radiation Heat Transfer (Second Edition) -- Infrared Detectors and Systems -- Optical Radiation Measurements, Volume 1: Radiometry -- Instruments and Methods Used in Radiometry, Vol. 3: The Photo-Electric Cell and Other Selective Radiometers (Classic Reprint) -- Photometry, Radiometry, and Measurements of Optical Losses (Springer Series in Optical Sciences). Handbook of Optics, Third Edition Volume II: Design, Fabrication and Testing, Sources and Detectors, Radiometry and Photometry: Volume II -- Precision Measurements and Calibration: Selected Nbs Papers on Radiometry and Photometry (Classic Reprint) -- Recommended Terminology for Microwave Radiometry (Classic Reprint) -- Optical Radiation Measurements: Fundamental Principles of Absolute Radiometry and the Philosophy of This Nbs Program (1968 to 1971) (Classic Reprint) -- Optical Radiometry: Volume 41(Experimental Methods in the Physical Sciences) -- Electromagnetic Wave Propagation, Radiation, and Scattering: From Fundamentals to Applications (IEEE Press Series on Electromagnetic Wave Theory) -- Microwave Radiometry of Vegetation Canopies (Advances in Global Change Research) -- Radiometry in Modern Scientific Experiments -- Field Guide to Radiometry -- Introduction to Radiometry and Photometry (Optoelectronics Library) -- The Art of Radiometry (Press Monograph) -- Radiometry and the Detection of Optical(Pure & Applied Optics) -- Electro-Optical System Analysis and Design: A Radiometry Perspective (Press Monograph) -- Optical Radiometry for Ocean Climate Measurements (Experimental Methods in the Physical Sciences) -- Optical Systems Engineering -- Ground-Based Microwave Radiometry and Remote Sensing: Methods and Applications -- Department of Commerce and Labor -- Bulletin of the Bureau of Standards. Vol. 4 (Nos. 1,2,3,4) 1907-8: Instruments and Methods Used in Radiometry, pp391-460 -- Infrared Detectors, Second Edition -- Absolute Radiometry: Electrically Calibrated Thermal Detectors of Optical Radiation -- Applied Photometry, Radiometry, and Measurements of Optical Losses -- Introduction to Infrared System Design (Tutorial Texts) -- Microwave Radiometry and Remote Sensing of the Earth's Surface and Atmosphere. Microwave Radiation of the Ocean-Atmosphere: Boundary Heat and Dynamic Interaction. EBL201905 SzGeCERN Other Fields of Physics BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5746457 ebook 201905 n 201920 21 PUBLIC https://catalogue.library.cern/legacy/2675675 BOOK MIGRATED 2675662 SzGeCERN 20210421202424.0 9780128158890 electronic version electronic version 9780128158890 print version 9780128162699 electronic version electronic version oai:cds.cern.ch:2675662 cerncds:BOOK EBL 5744749 eng TA418.9.N35 B56 2019 610.28 Nurunnabi Biomedical applications of graphene and 2D nanomaterials San Diego, CA Elsevier 2019 402 p ebook Micro & nano technologies series Front Cover -- Biomedical Applications of Graphene and 2D Nanomaterials -- Copyright -- Contents -- Contributors -- Chapter 1: Two-Dimensional Nanomaterials: Crystal Structure and Synthesis -- 1. Introduction -- 2. Crystal Structures of 2-D Materials -- 2.1. Graphene -- 2.2. Hexagonal Boron Nitride -- 2.3. Transition Metal Dichalcogenides -- 2.4. Black Phosphorus -- 2.5. Graphitic Carbon Nitride -- 2.6. MXenes -- 2.7. Silicene and Germanene -- 3. Synthetic Methods -- 3.1. Micromechanical Cleavage -- 3.2. Liquid-Phase Exfoliation -- 3.3. Shear Exfoliation -- 3.4. Electrochemical Exfoliation -- 3.5. Oxidation-Assisted Exfoliation -- 3.6. Hydro/Solvothermal Synthesis -- 3.7. Chemical Vapor Deposition -- 4. Conclusion -- References -- Chapter 2: Characterization Techniques of Two-Dimensional Nanomaterials -- 1. Introduction -- 2. Characterizations Techniques -- 2.1. Optical Microscopy -- 2.2. Atomic Force Microscopy -- 2.3. Conductive Atomic Force Microscopy -- 2.4. Kelvin Probe Force Microscopy -- 2.5. Scanning Electron Microscopy -- 2.6. Transmission Electron Microscopy -- 2.7. X-Ray Photoelectron Spectroscopy -- 2.8. Raman Spectroscopy -- 3. Conclusion -- References -- Chapter 3: State-of-the-Art Characterization Methods for Graphene and Its Derivatives -- 1. Raman Spectroscopy -- 1.1. Raman Spectroscopy on Graphene, GO and Their Derivatives -- 1.2. Defects in Graphene -- 2. Solid-State 13C Nuclear Magnetic Resonance Spectroscopy -- 3. Fourier Transform Infrared (FTIR) Spectroscopy -- 4. X-Ray Photoelectron Spectroscopy (XPS) -- 5. Microscopic Methods -- 5.1. Scanning Electron Microscopy -- 5.2. Scanning Tunneling Microscopy -- 5.3. Transmission Electron Microscopy -- 5.4. Atomic Force Microscopy -- 6. Conclusions and Future Perspective -- References -- Further Reading -- Chapter 4: 2D Nanomaterials for Gene Delivery -- 1. Introduction. 2. Gene Delivery Conveyors: Viral and Nonviral -- 2.1. Viral Gene Delivery Conveyors -- 2.2. Nonviral Gene Delivery Conveyors -- 2.3. 2D Materials as Nonviral Gene Delivery Conveyors -- 3. Classification of 2D Materials -- 3.1. 2D Graphene and Graphene Oxide Materials -- 3.1.1. Characteristics of graphene based materials (GBMs) as gene delivery platform -- 3.1.1.1. Articulate and accomplished physical and chemical functionalization -- 3.1.1.2. Ability of genetic material condensation -- 3.1.1.3. Conservation of genetic materials from enzymatic degradation -- 3.1.1.4. Cellular accumulation -- 3.1.1.5. Negligible toxicity -- 3.1.2. How to improve the efficacy of GBMs for gene delivery? -- 3.1.3. Applications of GBMs as gene delivery conveyors -- 3.1.3.1. Gene silencing -- 3.1.3.2. Intracellular molecular sensing -- 3.1.3.3. Theranostic operation -- 3.2. 2D Transition Metal Dichalcogenides -- 3.2.1. The synthesis of TMDCs -- 3.2.2. TMDCs as gene delivery conveyors -- 3.3. 2D Transition Metal Oxides -- 3.3.1. The synthesis of TMOs -- 3.3.2. TMOs as gene delivery conveyors -- 3.4. 2D Layered Double Hydroxides -- 3.4.1. The synthesis of LDHs -- 3.4.2. LDHs as gene delivery conveyors -- 3.5. 2D Silicate Clays -- 3.5.1. Silicate clays as gene delivery conveyors -- 3.6. 2D Boron Nitrides -- 3.7. 2D Black Phosphorous/Phosphorene -- 3.7.1. The synthesis of BP -- 3.7.2. BP as gene delivery conveyors -- 4. Conclusion and Future Vision -- References -- Chapter 5: Graphene and 2D Materials for Phototherapy -- 1. Introduction -- 2. Phototherapy -- 2.1. Photodynamic Therapy -- 2.2. Mechanism of Photodynamic Therapy -- 2.3. Photothermal Therapy -- 2.4. Mechanism of Photothermal Therapy -- 3. 2D Materials as Phototherapy -- 3.1. 2D Graphene and Graphene Oxide Materials -- 3.1.1. Graphene based materials as photodynamic therapy. 3.1.2. Graphene based materials as photothermal therapy -- 3.2. 2D TMDC as Phototherapy Agents -- 3.2.1. TMDC as photodynamic therapy agents -- 3.2.2. TMDC as photothermal agent -- 4. Conclusion and Future Vision -- References -- Chapter 6: Graphene-Based Hybrid Nanomaterials for Biomedical Applications -- 1. Introduction -- 2. Graphene Types -- 2.1. Monolayer Graphene -- 2.2. Few-Layer Graphene -- 2.3. Graphene Oxide -- 2.4. Reduced Graphene Oxide -- 2.5. Graphene Quantum Dots -- 3. Graphene Hybrids -- 3.1. Covalent Hybridization Methods -- 3.1.1. Grafting from -- 3.1.2. Grafting to -- 3.2. Noncovalent Hybridization -- 4. Graphene Hybrid in Medicine -- 4.1. Graphene Hybrids in Drug Delivery -- 4.2. Graphene Hybrids in Gene Delivery -- 5. Clinical Applications -- 6. Future Perspective -- References -- Chapter 7: 2D Material-Based Hybrid Nanostructure for Diagnosis and Therapy -- 1. Introduction -- 2. Graphene and Beyond -- 3. Transition Metal Oxides -- 3.1. Manganese Oxide -- 3.2. Molybdenum Oxide -- 4. Transition Metal Dichalcogenides -- 4.1. Molybdenum Disulfide -- 4.2. Tungsten Disulfide -- 4.3. MXenes -- 5. Layered Double Hydroxides -- 6. Conclusions and Future Prospects -- References -- Chapter 8: In Vitro Toxicity of 2D Materials -- 1. Introduction -- 2. Overview of 2D Materials -- 2.1. The Importance of Biological and Environmental Interactions -- 2.2. Scope and Diversity of 2D Materials -- 2.3. Fabrication Methods, Processing, and Exposure Potential -- 3. Toxicity Profile of 2D Nanomaterials -- 3.1. Toxicity of Graphene -- 3.2. Toxicity of Graphene Oxide -- 3.3. Toxicity of Transition Metal Dichalcogenides -- 3.3.1. Toxicity of sulfides -- 3.3.2. Toxicity of metal oxides -- 3.3.3. Metal toxicity -- 4. In Vitro Studies -- 5. Human Health Impacts of 2D Materials -- 6. Conclusions -- Acknowledgments -- References -- Further Reading. Chapter 9: Graphene and Its Derivatives as Biosensing Platform for Healthcare Applications -- 1. Introduction -- 2. Epigenetics -- 2.1. Graphene-Based Biosensor for Detection of DNA Methylation -- 2.1.1. Graphene-based DNA biosensors -- 2.1.2. Graphene based miRNA sensors -- 2.2. Optical Sensors for miRNA Detection -- 2.3. Electrochemical Sensors for miRNA Detection -- 3. Graphene Based Sensing Platforms for mRNA Detection -- 4. Graphene-Based Biosensors for Glycomics -- 5. Future Direction of Graphene Based Biosensing Platform -- References -- Further Reading -- Chapter 10: Biocompatibility Assessment of Nanomaterials Using Zebra Fish as a Model -- 1. Introduction -- 2. Zebrafish as an Exquisite Experimental Animal Model -- 2.1. Efficiency -- 2.2. Accessibility -- 2.3. Conservation -- 3. Methods to Measure Nanomaterial Toxicity -- 3.1. Teratogenesis and Other Developmental Analysis -- 3.2. Hatching Analysis -- 3.3. Reproduction Analysis -- 3.4. Mortality Analysis -- 3.5. Behavioral Analysis -- 3.6. Analysis of Nervous System Activity -- 3.7. Analysis of Immunotoxicity -- 3.8. Analysis of Genotoxicity -- 3.9. Use of Transgenic Reporter Lines -- 3.10. Assessment by Direct In Vivo Imaging -- 4. Nanotoxicology Studies in Zebrafish -- 4.1. Metal Nanoparticles -- 4.2. Metal Oxide Nanoparticles -- 4.3. Carbon-Based Nanoparticles -- 5. Recommendations and Conclusions -- Funding -- Conflicts Of Interest -- References -- Further Reading -- Chapter 11: 2D Nanomaterials for Quantitative and Qualitative Analysis of DNA Methylation -- 1. Introduction -- 2. Quantitative and Qualitative Analysis of DNA Methylation -- 3. 2D Nanomaterials in the Detection of DNA Methylation -- 4. Affinity-Based Detection -- 5. Nanopore-Based Detection -- 5.1. Theoretical Studies by Molecular Dynamics Simulation -- 5.2. From Simulation to Practical. 6. Conclusion and Future Perspectives -- References -- Chapter 12: Graphene-Based Electrochemical Sensors for Biomedical Applications -- 1. Introduction -- 2. Brief History of Graphene -- 3. Properties of Graphene -- 3.1. Electronic Structure of Graphene -- 3.2. Electronic Properties of Graphene -- 4. GP in Electrochemical Sensors -- 5. Graphene Derivatives (GDs) -- 5.1. Graphene Oxide -- 5.2. Reduced Graphene Oxide -- 5.3. Graphene Nanoribbons -- 5.4. Graphene Nanowalls -- 5.5. Graphene Quantum Dots (GQDs) -- 6. Application of Graphene and Graphene Related Materials and Relative Mechanism -- 6.1. Glucose Sensors -- 6.1.1. General mechanism for GP based enzymatic glucose sensors -- 6.1.2. Proof of possible 3rd generation glucose sensor -- 6.1.3. General mechanism for GP based nonenzymatic glucose sensors -- 6.1.4. Nonenzymatic metal oxide/hydroxides nanocomposites glucose sensor -- 6.2. Graphene Based DNA Sensor -- 6.2.1. General mechanism for graphene based impedimetric DNA sensor -- 6.2.1.1. EIS (signal off) GP based DNA sensor for HIV gene detection -- 6.2.1.2. EIS (signal on) GP based DNA sensor for HER2 and CD24 detection -- 6.2.2. Amperometric and voltammetric graphene-based DNA sensors -- 6.2.2.1. General mechanism for graphene based amperometric and voltammetric DNA ECSs -- 6.2.2.2. Amperometric detection of survivin gene -- 6.2.2.3. Voltammetric detection of Mycobacterium tuberculosis -- 6.3. Graphene Based Protein Sensor -- 6.3.1. General mechanism for EC protein biomarker sensors -- 6.3.2. Enzyme labeled detection of protein biomarkers -- 6.3.3. Label free detection of protein biomarkers -- 6.4. Dopamine, Uric Acid and Ascorbic Acid Sensors -- 6.4.1. General mechanism -- 6.4.2. Simultaneous determination of DA and UA -- 6.5. Graphene Based ECSs for Detecting NADH, Bacteria, Virus and Other Biologically Important Molecules. 6.5.1. General mechanism of NADH sensor. EBL201905 Health Physics and Radiation Effects SzGeCERN EBL Nanostructured materials EBL Graphene BOOK Mccarthy, Jason https://cds.cern.ch/auth.py?r=EBLIB_P_5744749 ebook n 201920 201905 21 PUBLIC https://catalogue.library.cern/legacy/2675662 BOOK MIGRATED 2675634 SzGeCERN 20210421202427.0 9781789535235 1789535239 9781789536102 oai:cds.cern.ch:2675634 cerncds:BOOK SAFARI 9781789536102 eng QA76.76.A65 .G673 2019 005.3 Gopalakrishnan, Shivakumar Hands-on kubernetes on Azure run your applications securely and at scale on the most widely adopted orchestration platform Birmingham Packt Publishing 2019 243 p ebook Intro -- Cover -- Title Page -- Copyright and Credits -- Dedication -- About Packt -- Contributors -- Table of Contents -- Preface -- Section 1: The Basics -- Chapter 1: Introduction to Docker and Kubernetes -- Technical requirements -- The foundational technologies that enable AKS -- You build it, you run it -- Everything is a file -- Orchestration -- Summary -- Chapter 2: Kubernetes on Azure (AKS) -- Technical requirements -- Entering the Azure portal -- Creating an Azure portal account -- Navigating the Azure portal -- Creating your first AKS -- Using Azure Cloud Shell -- Summary -- Section 2: Deploying on AKS -- Chapter 3: Application Deployment on AKS -- Technical requirements -- Deploying the sample guestbook application -- Introducing the application -- Deploying the first master -- Examining the deployment -- Redis master -- Fully deploying of the sample guestbook application -- Exposing the Redis master service -- Deploying the Redis slaves -- Deploying and exposing the frontend -- Exposing the frontend service -- The guestbook application in action -- The helm way of installing complex applications -- The helm init command -- Installing WordPress -- Persistent Volume Claims -- Your own WordPress site -- Summary -- Chapter 4: Scaling Your Application to Thousands of Deployments -- Technical requirements -- Scaling your application -- Implementing independent scaling -- Scaling the guestbook frontend component -- Handling failure in AKS -- Node failures -- Diagnosing out-of-resource errors -- Reducing the number of replicas to the bare minimum -- Reducing CPU requirements -- Cleanup of the guestbook deployment -- Fixing storage mount issues -- Starting the WordPress install -- Persistent volumes -- Handling node failure with PVC involvement -- Upgrading your application -- kubectl edit -- Helm upgrade -- Summary. Chapter 5: Single Sign-On with Azure AD -- Technical requirements -- HTTPS support -- Installing Ingress -- Launching the Guestbook application -- Adding Lets Ingress -- Adding LetsEncrypt -- Installing the certificate manager -- Mapping the Azure FQDN to the nginx ingress public IP -- Installing the certificate issuer -- Creating the SSL certificate -- Securing the frontend service connection -- Authentication versus authorization -- Authentication and common authN providers -- Deploying the oauth2_proxy side car -- Summary -- Chapter 6: Monitoring the AKS Cluster and the Application -- Technical requirements -- Commands for monitoring applications -- kubectl get command -- kubectl describe command -- Debugging applications -- Image Pull errors -- Application errors -- Scaling down the frontend -- Introducing an app "error -- Logs -- Metrics reported by Kubernetes -- Node status and consumption -- Metrics reported from OMS -- AKS Insights -- Cluster metrics -- Container metrics, logs, and environmental variables -- Logs -- Summary -- Chapter 7: Operation and Maintenance of AKS Applications -- Technical requirements -- Service roles in Kubernetes -- Deleting any AKS cluster without RBAC -- Creating an AKS cluster with the Azure AD RBAC support -- Creating the Azure AD server application -- Setting the permissions for the application to access user info -- Granting the permissions and noting the application ID -- Creating the client application -- Getting the AAD tenant ID -- Deploying the cluster -- Attaching service roles to AAD users -- Creating users in your Active Directory -- Creating a read-only group and adding the user to it -- Verifying RBAC -- Creating the read-only user role -- Creating the cluster-wide, read-only role -- Binding the role to the AAD group -- The access test -- Summary. Section 3: Leveraging Advanced Azure PaaS Services in Combination with AKS -- Chapter 8: Connecting an App to an Azure Database - Authorization -- Technical requirements -- Extending an app to connect to an Azure Database -- WordPress backed by Azure MySQL -- Prerequisites -- Helm with RBAC -- Deploying the service catalog on the cluster -- Deploying Open Service Broker for Azure -- Deploying WordPress -- Securing MySQL -- Running the WordPress sample with MySQL Database -- Restoring from backup -- Performing a restore -- Connecting WordPress to the restored database -- Modifying the host setting in WordPress deployment -- Reviewing audit logs -- Azure Database audits -- DR options -- Azure SQL HADR options -- Summary -- Chapter 9: Connecting to Other Azure Services (Event Hub) -- Technical requirements -- Introducing to microservices -- Microservices are no free lunch -- Kubernetes and microservices -- Deploying a set of microservices -- Deploying Helm -- Using Azure Event Hubs -- Creating the Azure Event Hub -- Updating the Helm files -- Summary -- Chapter 10: Securing AKS Network Connections -- Technical requirements -- Setting up secrets management -- Creating your own secrets -- Creating secrets from files -- Creating secrets manually using files -- Creating generic secrets using literals -- Creating the Docker registry key -- Creating the tls secret -- Using your secrets -- Secrets as environment variables -- Secrets as files -- The Istio service mesh at your service -- Installing Istio -- Injecting Istio as a sidecar automatically -- Enforcing mutual TLS -- Deploying sample services -- Globally enabling mutual TLS -- Summary -- Chapter 11: Serverless Functions -- Technical requirements -- Kubeless services -- Installing Kubeless -- Install Kubeless binary -- The hello world serverless function -- Events and serverless functions. Creating and configuring Azure Functions -- Integrating Kubeless with Azure Event Hubs via Azure Functions -- Summary -- Other Books You May Enjoy -- Index. This book will help readers to Deploy web applications securely in Microsoft Azure with docker container and having the need for clustering services to achieve high availability, dynamic scalability, and to monitor applications. SAF201906 EBLlink deleted SzGeCERN Computing and Computers BOOK Lenz, Gunther https://learning.oreilly.com/library/view/-/9781789536102/?ar ebook 201905 n 201920 21 PUBLIC https://catalogue.library.cern/legacy/2675634 BOOK MIGRATED 2675617 SzGeCERN 20210421202430.0 9780128165485 electronic version electronic version 9780128165485 print version 9780128172803 electronic version electronic version oai:cds.cern.ch:2675617 cerncds:BOOK EBL 5742476 eng QA76.27 .D38 2019 270.285 Misra, Gauri Data processing handbook for complex biological data sources San Diego, CA Elsevier Science & Technology 2019 191 p ebook Front Cover -- Data Processing Handbook for Complex Biological Data Sources -- Copyright Page -- Dedication -- Contents -- List of contributors -- Foreword by Jeremy C. Smith -- Foreword by M.R.N. Murthy -- Foreword by Aatto Laaksonen -- Preface -- Acknowledgments -- 1 Mass spectroscopy -- 1.1 Introduction -- 1.1.1 Principle -- 1.1.2 Instrumentation -- 1.1.3 Types of ionization techniques -- 1.1.3.1 Electron ionization -- 1.1.3.2 Chemical ionization -- 1.1.3.3 Fast atom bombardment -- 1.1.3.4 Matrix assisted laser desorption ionization -- 1.1.3.5 Electrospray ionization -- 1.1.3.6 Fragmentation -- 1.1.4 Analyzers -- 1.1.4.1 Time of flight -- 1.1.4.2 Quadrupole -- 1.1.4.3 Ion trap analyzer -- 1.1.4.4 Fourier transform-ion cyclotron resistance -- 1.1.4.5 Orbitrap analyzer -- 1.1.4.6 Tandem mass spectrometer -- 1.1.5 Detectors -- 1.1.5.1 Faraday cup -- 1.1.5.2 Electron multipliers -- 1.1.5.3 Photomultipliers -- 1.1.5.4 Microchannel plate -- 1.1.6 Mass interpretation -- 1.1.6.1 Types of peaks -- 1.1.6.2 Fragmentation rules -- 1.1.6.3 Peptide mass fingerprinting -- 1.1.6.4 Peptide fragmentation fingerprinting -- 1.1.6.5 De novo peptide sequencing -- 1.2 Raw data -- 1.2.1 NanoLC principle -- 1.2.2 Gradient -- 1.2.3 Orbitrap technology -- 1.2.4 Data-dependent acquisition -- 1.3 Data processing -- 1.3.1 Trans-proteomic pipeline -- 1.3.2 Installation -- 1.3.3 Raw file conversion -- 1.3.4 Search engine support -- 1.3.5 PeptideProphet for corroboration -- 1.3.6 Pep3D to view chromatogram -- 1.3.7 iProphet for peptide-level corroboration -- 1.3.8 XPRESS/ASAP ratio for peptide quantitation -- 1.3.9 Protein prophet for protein interpretation and corroboration -- 1.4 Protein quantification and identification -- 1.4.1 Label-free quantification -- 1.4.2 Functional annotation and enrichment analysis -- 1.5 Applications of mass spectrometry. 1.5.1 Application in proteomics -- 1.5.2 Application in metabolomics -- 1.5.3 Application in environment analysis -- 1.5.4 Application in pharmacy -- 1.5.5 Application in forensic science -- 1.5.6 Applications in medical research -- 1.6 Conclusion -- References -- Further Reading -- 2 Circular dichroism -- 2.1 Introduction -- 2.2 Principle -- 2.3 Raw data analyses -- 2.3.1 Case study 1: to study acid-induced transitions in a protein -- 2.3.2 Case study 2: to study pH-induced transitions in a protein -- 2.3.3 Case study 3: to study structural transitions in nucleic acids -- 2.3.4 Case study 4: determination of Tm and other thermodynamic parameters -- 2.4 Miscellaneous examples -- 2.5 Conclusion -- Acknowledgments -- References -- 3 Fluorescence spectroscopy -- 3.1 Introduction -- 3.2 Principle -- 3.2.1 Instrumentation -- 3.3 Intrinsic fluorescence -- 3.3.1 Protein stability studies -- 3.3.2 Protein interaction studies -- 3.4 Extrinsic fluorescence -- 3.5 Fluorescence polarization -- 3.6 Fluorescence resonance energy transfer -- 3.7 Conclusion -- Acknowledgment -- References -- 4 High-throughput sequencing -- 4.1 Introduction -- 4.2 High-throughput sequencing raw data -- 4.3 Databases for storing next generation sequencing raw data -- 4.4 Data processing -- 4.4.1 Read quality control -- 4.4.2 DNA-seq: the next generation sequencing genomics application -- 4.4.2.1 Short variant discovery -- 4.4.2.2 Structural variant discovery -- 4.4.2.3 Genome assembly -- 4.4.3 RNA-seq: the next generation sequencing transcriptomics application -- 4.4.3.1 Differential gene expression analysis -- 4.4.3.2 Transcriptome reconstruction -- 4.4.4 Next generation sequencing epigenetic application -- 4.5 High-throughput sequencing data analysis in an open source platform-galaxy -- 4.6 Conclusion -- Acknowledgment -- Reference -- 5 Nuclear magnetic resonance -- 5.1 Introduction. 5.2 Theoretical and practical aspects -- 5.2.1 Fundamental concepts -- 5.2.2 Nuclear magnetic resonance relaxation mechanisms -- 5.3 Raw data -- 5.4 Data processing -- 5.4.1 Integrating data approaches including web-based sources -- 5.5 Essential analysis and processing software -- 5.5.1 Acquisition and initial processing -- 5.5.2 Computer-aided resonance assignment: spectra assignment -- 5.5.3 Spin works (Manitoba University): spectra processing and analysis -- 5.5.4 NMRFAM-SPARKY: assignment of integrated spectra -- 5.5.5 Collaborative computing project for nuclear magnetic resonance: spectral processing and analysis -- 5.5.6 Nuclear magnetic resonance pipe processing and analysis -- 5.6 Structure determination softwares -- 5.7 Molecular model visualization softwares -- 5.8 Examples -- 5.8.1 Isolated proteins -- 5.8.2 Protein interactions -- 5.8.3 Nucleic acids (DNA and RNA) -- 5.8.4 General overview -- 5.9 Conclusion -- References -- 6 Fourier transform infrared spectroscopy: Data interpretation and applications in structure elucidation and analysis of sm... -- 6.1 Introduction -- 6.2 Interpretation of biorelevant small molecules -- 6.3 Ligand-binding interactions -- 6.4 Drug-cell interactions -- 6.5 Biomolecules metal/metal complexes -- 6.5.1 Biomolecules: Fe-oxides -- 6.5.1.1 Small organic molecules as stabilizing agents -- 6.5.1.2 Nucleic bases-β-FeOOH nanoparticles -- 6.5.1.3 5′-Guanosine monophosphate-β-FeOOH -- 6.5.1.4 DNA- Fe (II) and Fe (III) nanoparticles -- 6.5.1.5 Peptide mediated biomineralization of Iron (III) oxyhydroxide nanoparticles -- 6.5.2 Guanosine monophosphate-cadmium sulfide nanostructures -- 6.6 Graphene-based nanomaterials -- 6.7 Conclusion -- 6.8 List of abbreviations -- Acknowledgments -- References -- 7 Microscopy -- 7.1 Introduction -- 7.2 Transmission electron microscopy -- 7.2.1 Sample preparation. 7.2.1.1 Sample preparation: biological specimen -- 7.2.1.2 Sample preparation: nanomaterial samples -- 7.2.2 Three-dimensional tomography -- 7.3 Scanning electron microscopy -- 7.3.1 Sample preparation -- 7.3.1.1 Sample preparation: biological specimen -- 7.3.1.1.1 Coating the specimen surface -- 7.3.1.2 Sample preparation: nanomaterial specimen -- 7.3.2 Environmental scanning electron microscope -- 7.3.3 Three-dimensional scanning electron microscope -- 7.4 Atomic force microscopy -- 7.4.1 Sample preparation -- 7.4.1.1 Sample preparation for biological -- 7.4.1.2 Sample preparation for nanomaterial -- 7.5 Confocal microscopy -- 7.6 Data analysis: transmission electron microscopy, scanning electron microscope, atomic force microscope, and confocal mi... -- 7.7 Conclusions -- Acknowledgment -- References -- 8 Principles and applications of flow cytometry -- 8.1 Introduction -- 8.1.1 Light scattering and fluorescence -- 8.1.2 Cell labeling and compensation -- 8.2 Integrating data approaches and analytical tools -- 8.2.1 Phenotyping cell populations -- 8.2.2 Cell proliferation -- 8.2.3 Cell cycle -- 8.2.4 Apoptosis -- 8.3 Conclusion -- References -- 9 Isothermal titration calorimetry -- 9.1 Introduction -- 9.2 Raw data -- 9.3 Data processing -- 9.3.1 Web-based sources -- 9.4 Examples -- 9.4.1 Protein-metal interactions -- 9.4.2 Thermodynamic basis of calcium binding to EhCRD from Entamoeba histolytica -- 9.4.3 Protein carbohydrate interactions -- 9.5 Conclusion -- References -- 10 Metagenome analysis and interpretation -- 10.1 Introduction -- 10.2 Metagenomics -- 10.2.1 Metagenomic applications -- 10.2.1.1 Enzymes and metagenomics -- 10.2.1.2 Metagenomics and bioactive molecules -- 10.2.1.3 Novel biosynthetic pathways -- 10.2.2 Metagenome analysis -- 10.2.2.1 In silico analysis of the functional metagenomics datasets. 10.2.2.2 In silico analysis of sequenced metagenome datasets -- 10.2.2.2.1 Quality filtration -- 10.2.2.2.1.1 FastQC -- 10.2.2.2.1.2 Fastqp -- 10.2.2.2.1.3 MetaQC chain -- 10.2.2.3 In silico analysis of 16S rRNA gene (SSU rRNA gene) datasets -- 10.2.2.3.1 QIIME -- 10.2.2.3.2 MEGAN -- 10.2.2.3.3 MOTHUR -- 10.2.2.3.4 JAGUC -- 10.2.2.3.5 UniFrac -- 10.2.2.3.6 PICRUSt -- 10.2.2.3.7 Galaxy (https://huttenhower.sph.harvard.edu/galaxy/) -- 10.2.2.4 In silico analysis of whole metagenome datasets -- 10.2.2.4.1 MG RAST -- 10.2.2.4.2 SEED -- 10.2.2.4.3 MetaPath -- 10.3 Experimental and data analysis framework of metagenomic projects -- 10.3.1 Project I: Human gut microbiome structure -- 10.3.2 Project II Microbiome structure comparison of garden soil and hospital soil to define anthropogenic influence on soi... -- 10.3.3 Project III Metagenomic analysis of soil microbiome -- 10.4 Conclusion -- References -- Index -- Back Cover. EBL201905 SzGeCERN Other Subjects BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5742476 ebook 201905 n 201920 21 PUBLIC https://catalogue.library.cern/legacy/2675617 BOOK MIGRATED 2675612 SzGeCERN 20200503232033.0 9780367231392 electronic version electronic version 9780367231392 print version 9781000000641 electronic version electronic version oai:cds.cern.ch:2675612 cerncds:BOOK EBL 5742426 eng TK1078 .O646 2019 621.483 Openshaw, Stan Nuclear power siting and safety Milton Routledge 2019 367 p Routledge library editions energy resources Cover -- Half Title -- Title Page -- Copyright Page -- Original Title Page -- Original Copyright Page -- Contents -- Figure -- Preface -- Acknowledgments -- 1 Nuclear safety: some reasons why siting is important -- Introduction -- Global energy scenarios -- Why is siting important? -- Is nuclear power safe? -- The radiation game -- Why worry, the predicted accident probabilities are so vanishingly small -- Where DO the reactor accident frequencies come from? -- The CEGB have an excellent safety record -- Well within ICRP recommended limits -- If all else fails the emergency plan will save us -- The law will protect us -- Conclusions -- 2 Power station planning in the UK -- Introduction -- Statutory duties -- The needs element -- Finding a site for a nuclear station -- Criteria for selecting sites -- A critical review -- Best site, feasible site, or convenient site? -- Handling of environmental matters -- Attitudes towards public participation -- Engineering priorities come first -- Incremental decision making in the direction of an undisclosed objective -- Conclusions -- 3 Remote siting policies in the UK -- Military reactor siting -- The first civilian nuclear power programme -- Power station siting and safety aspects -- Remote siting policies -- Criticisms -- Application of the remote siting criteria to UK sites -- Using the computer to search for feasible sites in terms of demographic criteria -- Searching for remote sites by computer -- Conclusions -- Appendix 1 -- 4 Relaxed siting policies in the UK -- Announcement of a relaxed siting policy -- A case for unrestricted siting -- Towards a formal relaxed siting policy -- Problems of applying and interpreting the relaxed siting criteria -- Using the relaxed siting criteria to define remote sites -- Some CEGB criticisms of the relaxed siting criteria. Application of the relaxed siting criteria to the UK -- Conclusions -- Appendix 2 -- 5 Three case studies of UK nuclear power station planning -- Sizewell -- Hartlepool -- Druridge Bay -- Do alternative, 'better' sites exist? -- Conclusions -- 6 Siting reactors in the US -- Background -- Regulatory framework -- Early siting policies -- The 1962 interim siting guidelines -- The 1975 revisions -- The 1979 report of the Siting Policy Task Force -- Proposals for new siting criteria -- Application of the proposed criteria to the US -- A comparison of US and UK demographic siting criteria -- Application of US demographic criteria to the UK -- Conclusions -- Appendix 3 -- 7 Demographic characteristics of nuclear power station sites in the UK and US -- Some technical problems in providing estimates of demographic data for nuclear sites -- Estimating the magnitude of population errors -- A selection of demographic statistics -- A comparison of the demographic characteristics of UK and US sites -- Conclusions -- Appendix 4 -- 8 Optimal siting from a public perspective -- Health consequence predictions -- Geographical consequence predictions -- Financial consequence predictions -- Kemeny Report -- Towards a new perspective on the role of siting -- Emergency planning -- Behavioural responses to emergencies at nuclear plant -- Distance-related risk cognition and hazard perceptions -- Specification of a behaviouralist realistic nuclear site weighting function -- Optimally acceptable areas for nuclear power developments -- Conclusions -- 9 Summary, conclusions and recommendations -- Bibliography -- Index. https://cds.cern.ch/auth.py?r=EBLIB_P_5742426 ebook ebook EBL Nuclear power plants-Location EBL201905 Engineering SzGeCERN BOOK n 201920 201905 21 PUBLIC BOOK DELETED 2675568 SzGeCERN 20210421202436.0 9780128168721 electronic version electronic version 9780128168721 print version 9780128168738 electronic version electronic version oai:cds.cern.ch:2675568 cerncds:BOOK EBL 5739641 eng R857.M3 .M384 2019 610.284 Grumezescu, Alexandru Biopolymer fibers San Diego, CA Elsevier 2019 482 p ebook Front Cover -- Materials for Biomedical Engineering: Biopolymer Fibers -- Copyright Page -- Contents -- List of Contributors -- Series Preface -- Preface -- 1 Polymer fibers in biomedical engineering -- 1.1 Introduction -- 1.2 Methods for Obtaining Polymer Fibers -- 1.2.1 Materials to Fabricate Polymers Fibers -- 1.2.1.1 Natural polymers -- 1.2.1.2 Synthetic polymers -- 1.2.2 Methods to Obtain Polymer Fibers -- 1.2.2.1 Electro-spinning -- 1.2.2.2 Phase separation -- 1.2.2.3 Self-assembly -- 1.2.2.4 Isolation from natural sources -- 1.3 Properties of Polymer Fibers -- 1.4 Applications of Polymer Fibers in Biomedical Engineering -- 1.4.1 Regenerative Medicine: Wound Dressing -- 1.4.2 Bone Tissue Engineering -- 1.4.3 Cartilage and Tendon Tissue Engineering -- 1.4.4 Muscle Regeneration -- 1.4.5 Drug Delivery -- 1.5 Conclusions -- References -- 2 Organic-inorganic micro/nanofiber composites for biomedical applications -- 2.1 Introduction -- 2.2 Global Perspective on Hard and Soft Tissue Engineering -- 2.2.1 Soft Tissue Engineering -- 2.2.2 Hard Tissue Engineering -- 2.3 Organic-Inorganic Micro/Nanofiber Composites in Hard and Soft Tissue Engineering -- 2.4 Fiber Fabrication Techniques -- 2.4.1 Wet Spinning -- 2.4.2 Electro-Spinning -- 2.4.3 Extrusion -- 2.4.4 Solvent Casting -- 2.4.5 Drawing -- 2.4.6 Microfluidic Spinning -- 2.5 Ceramic/Glass Materials Fibers for Biomedical Applications -- 2.5.1 Ceramic and Glass Fibers as Bone Graft Substitute -- 2.5.2 Role in Soft Tissue (Wound) Healing -- 2.5.3 Role as Sustained Local Delivery of Antibiotics in Treating Bone Infection -- 2.5.4 As Carrier for Delivery of Anticancer Drugs and Growth Factors -- 2.5.5 Role in Dental Applications -- 2.6 Conclusions -- References -- 3 Polymer fiber-based biocomposites for medical sensing applications -- 3.1 Optical Fibers and Sensing Principles -- 3.2 Biopolymers. 3.2.1 Biobased Polyesters -- 3.2.1.1 Polylactic acid -- 3.2.1.2 Polyethelene terephthalate -- 3.2.1.3 Polytrimethylene terephthalate -- 3.2.1.4 Polybutylene terephthalate -- 3.2.1.5 Polyethylene furanoate -- 3.2.1.6 Polybutylene succinate -- 3.2.2 Polyglycolic Acid -- 3.2.3 Polyhydroxyalkanoates -- 3.2.4 Biobased Polyurethanes -- 3.2.5 Biobased Polyamides -- 3.2.6 Thermoplastic Starch -- 3.2.7 Cellulose-Based Fibers -- 3.2.8 Protein Fibers -- 3.2.9 Polycaprolactone -- 3.2.10 Polyesteramides -- 3.2.11 Polybutylene Adipate Terephthalate -- 3.3 Conventional Applications of Biopolymers as Medical Textiles -- 3.4 Integrating Polymers Into Textiles -- 3.4.1 Weaving -- 3.4.2 Knitting -- 3.4.3 Braiding -- 3.4.4 Multiaxial Fabrics -- 3.4.5 Lamination -- 3.4.5.1 Flame lamination -- 3.4.5.2 Hot-melt lamination -- 3.5 Biomedical Sensor-Integrated Applications of Biopolymers -- 3.5.1 Filaments -- 3.5.2 Textile Structures -- 3.5.3 Braids -- 3.5.4 Composite Structures -- 3.6 Conclusion -- References -- Further Reading -- 4 Nanocomposite electrospun micro/nanofibers for biomedical applications -- 4.1 Introduction -- 4.2 Electrospinning as a Technological Platform for Biomedical Applications -- 4.3 Nanocomposite Electrospun Scaffolds for Tissue Engineering -- 4.3.1 Soft-Tissue Engineering Scaffolds -- 4.3.2 Bone-Tissue Engineering Scaffolds -- 4.3.2.1 Composites -- 4.3.2.2 Polymer matrices -- 4.3.2.3 Fillers -- 4.3.2.4 Dispersion -- 4.3.2.5 Mechanical properties -- 4.3.2.6 Morphology -- 4.3.2.7 Gradients -- 4.3.2.8 In vitro and in vivo characterization techniques -- 4.4 Nanocomposite Electrospun Wound Dressings -- 4.5 Antibacterial Nanocomposite Scaffolds -- 4.6 Nanocomposite-Based Nanofibrous Biosensors -- 4.7 Concluding Remarks and Future Directions -- Acknowledgments -- References. 5 "Green" polymeric electrospun fibers based on tree-gum hydrocolloids: fabrication, characterization and applications -- 5.1 Introduction -- 5.2 Tree Gums-An Overview -- 5.2.1 Gum Arabic -- 5.2.2 Gum Tragacanth -- 5.2.3 Gum Karaya -- 5.2.4 Kondagogu Gum -- 5.2.5 Gum Ghatti -- 5.3 "Green" Electrospinning Based on Tree Gums -- 5.3.1 Electrospun Fibers and Membranes of Gum Arabic, Gum Karaya, Kondagogu Gum, and Gum Tragacanth -- 5.4 Plasma Treatments for Fibers and Its Characteristics -- 5.5 Cross-Linking and Stability of Electrospun Fibers -- 5.6 "Green" Synthesis of Nanoparticles -- 5.7 Applications of Gum Fibers: Environmental and Biomedical Fields -- 5.7.1 Natural Gum Fibers, Metal/Metal-Oxide Nanoparticles, and Their Electrospun Fibers for the Removal/Adsorption of Envir... -- 5.7.2 Natural Gum Functionalized Nanoparticles and Nanofibers for Antibacterial Applications -- 5.7.3 Biosensors for Environmental and Medical Application -- 5.8 Biomedical Applications of Gum Hydrocolloids-Based Fibers and Electrospun Membranes -- 5.8.1 Biomedical Application of Gum Arabic Hydrocolloid -- 5.8.2 Gum Karaya Hydrocolloid for Biomedical Applications -- 5.8.3 Gum Tragacanth and Electrospun Fibers -- 5.8.4 Gum Kondagogu for Biomedical Applications -- 5.9 Conclusions and Prospects -- Acknowledgments -- References -- 6 Aramid fibers composites to innovative sustainable materials for biomedical applications -- 6.1 Polymerization and Fabrication -- 6.1.1 Direct Polycondensation -- 6.1.2 Polycondensation Reaction via an Aromatic Diacid Chloride and a Diamine -- 6.2 Monomers -- 6.3 Hyperbranched Polymers -- 6.4 Aramid Fibers -- 6.5 Aramid Composites -- 6.5.1 Composite -- 6.5.2 Polymer Matrix Composites -- 6.5.3 Fiber-Reinforced composites -- 6.5.4 Aramids as High-Performance Polymeric Building Blocks for Advanced Composites -- 6.5.4.1 Aramid fiber composites. 6.5.4.2 Poly(amide-block-aramid) alternating block copolymers -- 6.5.4.3 Surface modification of aramid fibers -- 6.6 Biomedical Applications of Aramid Composites -- 6.6.1 Aramid Composite Scaffolds for Biomaterials Applications -- 6.6.2 Antimicrobial Aramid Composites -- 6.6.3 The Use of Aramid Composites in Modern Orthopedic Medicine -- 6.6.4 Aramid Composites for Medical Implants and Devices -- 6.6.5 Aramids as Potential Supports for Protein Immobilization -- References -- 7 Bio-based nanocomposites: strategies for cellulose functionalization and tissue affinity studies -- 7.1 Introduction -- 7.2 Characteristics of Cellulose as Biomaterial for Composite Purposes -- 7.3 Biomaterials -- 7.3.1 The Roles of Biomaterials -- 7.4 Techniques for Producing Bio-Based Nanomaterials: Self-Assembly -- 7.4.1 Bacterial Cellulose and Hyaluronic Acid -- 7.4.2 Bacterial Cellulose and Collagen -- 7.4.3 Bacterial Cellulose and Conductive Polymers -- 7.5 Cellulose Reactive Groups and Chemical Reactions -- 7.5.1 Oxidation -- 7.5.2 Esterification -- 7.5.3 Carbamation -- 7.5.4 Nucleophilic Substitution -- 7.5.5 Etherification -- 7.5.6 Polymer Grafting -- 7.5.7 Silylation -- 7.5.8 Complementary Groups and End's Groups -- 7.6 Conclusion -- References -- 8 Polyethersulfone fiber -- 8.1 Polyethersulfone Fibers and Their Application in Biomaterials Engineering -- 8.1.1 Introduction to Polyethersulfone Fibers -- 8.1.2 The Application of Polyethersulfone Fibers in Biomaterial Engineering -- 8.1.2.1 Application of polyethersulfone fibers in blood purification -- 8.1.2.2 Application of polyethersulfone fibers in drug separation and delivery systems -- 8.1.2.3 Application of polyethersulfone fibers as membrane bioreactors -- 8.2 Modification of Polyethersulfone Fibers -- 8.2.1 Surface Coating -- 8.2.2 Blending Method -- 8.2.3 Photo-Induced Grafting Method. 8.2.4 Plasma Treatment or Plasma-Induced Grafting Method -- 8.2.5 Surface-Initiated Atom Transfer Radical Polymerization Method -- 8.3 Polyethersulfone/Inorganic Composite Fibers -- 8.3.1 Polyethersulfone/Titanium Dioxide Composite Fibers -- 8.3.2 Polyethersulfone/Silicon Dioxide Composite Fibers -- 8.3.3 Polyethersulfone/Graphene Oxide, Polyethersulfone/Carbon Fiber, and Polyethersulfone/Carbon Nanotubes Composite Fibers -- 8.3.4 Other Polyethersulfone/Inorganic Composite Fibers -- 8.4 Polyethersulfone/Organic Composite Fibers -- 8.4.1 Polyethersulfone/Hydrophilic Polymer Composite Fibers -- 8.4.2 Polyethersulfone/Copolymer Composite Fibers -- 8.4.3 Dual-Layer Composite Hollow Fibers -- 8.5 Conclusions -- References -- 9 Spider silk fibers: synthesis, characterization, and related biomedical applications -- 9.1 Synthesis of Spider Silk Fibers -- 9.1.1 Synthesis/Isolation of Spider Silk Proteins -- 9.1.2 Preparation of Spider Silk Fibers Using the Electrospinning Technique -- 9.1.2.1 Neat spider silks -- 9.1.2.2 Spider silk with polymers -- 9.1.2.3 Spider silk with fillers -- 9.2 Characteristics of Spider Silk -- 9.2.1 Mechanical Properties -- 9.2.2 Chemical and Structural Properties -- 9.2.3 Electrical Properties -- 9.2.4 Optical Properties -- 9.3 Applications -- 9.3.1 Tissue Engineering -- 9.3.2 Nerve Regrowth Platforms -- 9.3.3 Drug-Delivery Vehicles -- 9.4 Conclusion -- References -- 10 Silk fiber composites in biomedical applications -- 10.1 Introduction -- 10.2 Requirements for Biomaterials -- 10.2.1 Toxicology -- 10.2.2 Biocompatibility -- 10.2.3 Healing -- 10.2.4 Functional Tissue Structure -- 10.2.5 Biodegradability -- 10.2.6 Mechanical and Performance Requirements -- 10.3 Natural Silk as a Biomaterial -- 10.3.1 Processing of Natural Silk for Biomedical Applications -- 10.3.1.1 Degumming of silk -- 10.3.1.2 Dissolving silk fibroin. 10.3.1.3 Fabrication of silk biomaterials. EBL201905 Health Physics and Radiation Effects SzGeCERN BOOK Grumezescu, Valentina https://cds.cern.ch/auth.py?r=EBLIB_P_5739641 ebook n 201920 201905 21 PUBLIC https://catalogue.library.cern/legacy/2675568 BOOK MIGRATED 2675559 SzGeCERN 20200503232033.0 9780429525476 electronic version electronic version 9780849300240 electronic version electronic version 9780849300240 print version oai:cds.cern.ch:2675559 cerncds:BOOK EBL 5738693 eng TA190 .G663 1999 658.404 Goodman, Louis Engineering project management the IPQMS method and case histories Boca Raton, FL CRC Press 1999 192 p Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Foreword -- Chapter 1 A Case for Infrastructure Renewal with Accountability -- 1.1 Introduction -- 1.2 Our Deteriorating Infrastructure -- 1.3 Status of the Environment -- 1.4 Nuclear Waste Contamination -- 1.5 Contamination of Military Bases -- 1.6 Construction Industry Issues -- 1.7 Two Major Programs Addressing the Issues -- 1.8 The Need to Teach Teamwork -- References -- Chapter 2 The Integrated Planning and Quality Management System (IPQMS) -- 2.1 Brief Overview -- 2.2 Phase 1: Planning, Appraisal, and Design -- 2.3 Phase 2: Selection, Approval, and Activation -- 2.4 Phase 3: Operation, Control, and Handover -- 2.5 Phase 4: Evaluation and Refinement -- 2.6 Feasibility Studies -- References -- Chapter 3 The IPQMS and Case Histories -- 3.1 IPQMS Prototype Curriculum -- 3.2 Use of Cases in Education -- 3.3 Significant Differences Between Case Studies and IPQMS Case Histories -- 3.4 The Need for Cases Based on Postmortems -- 3.5 The Need to Teach Teamwork -- References -- Chapter 4 Guidelines for Researching and Writing IPQMS Case Histories -- 4.1 General Outline of the Cases -- 4.2 Guidelines for Checklist of Questions in the IPQMS -- 4.3 Checklist of Questions in the IPQMS -- 4.4 Sample Proposal for Case History -- Chapter 5 The Trans-Alaska Pipeline System (TAPS): Planning, Design, and Construction (1968-1977) -- 5.1 Background -- 5.2 The Environment -- 5.3 Phase 1: Planning, Appraisal, and Design -- 5.4 Phase 2: Selection, Approval, and Activation -- 5.5 Phase 3: Operation, Control, and Handover -- 5.6 Phase 4: Evaluation and Refinement -- 5.7 Lessons Learned -- References -- Chapter 6 The Trans-Alaska Pipeline System (TAPS): Operations of the Pipeline (1977-1997) -- 6.1 Brief Overview -- 6.2 Monitoring TAPS -- 6.3 The Whistleblowers. 6.4 The Exxon Valdez Oil Spill -- 6.5 The Alaska Forum for Environmental Responsibility -- 6.6 Evaluation of Quality Control Programs -- 6.7 Lessons Learned -- 6.8 Epilogue -- References -- Chapter 7 The Washington Public Power Supply System: Nuclear Power Plants 1968-1992 -- 7.1 Brief Overview -- 7.2 Background -- 7.3 Results -- 7.4 What Went Wrong? -- 7.5 Evaluation -- 7.6 Lessons Learned -- 7.7 Epilogue -- References -- Chapter 8 The EPA Superfund Programs 1, 2, and 3, 1980-1995 -- 8.1 Background -- 8.2 Federal Laws Governing Cleanup of the Environment -- 8.3 Procedures for NPL Site Cleanups -- 8.4 Monitoring Site Cleanups -- 8.5 Results and Problems -- 8.6 Evaluation -- 8.7 Lessons Learned -- 8.8 Epilogue -- References -- Chapter 9 Executive Summaries of Two Additional Cases -- 9.1 The Spacecraft Challenger Disaster January 28, 1986 -- 9.2 Brief Summary of the Space Program -- 9.3 The O-Ring Problem: Whistleblowers Ignored -- 9.4 The Accident and Investigations -- 9.5 Lessons Learned -- 9.6 The Hanford Nuclear Reservation 1943-1996: Background -- 9.7 Problems: The Great Cover Up -- 9.8 Migration of Nuclear Wastes into the Columbia River -- 9.9 Where will the Highly Radioactive Wastes Go? -- 9.10 Lessons Learned -- References -- Chapter 10 How to Use Lessons Learned in Rebuilding Infrastructure and Cleaning the Environment -- 10.1 A 35 Billion Program to Repair Infrastructure and Clean Up the Environment -- 10.2 The IPQMS Era Has Arrived -- 10.3 Outline for IPQMS Seminar Course -- 10.4 Intensive Two-Week Training Program for Planners, Designers, and Managers -- 10.5 Conlusions -- Appendix A Abstracts of Case Studies and IPQMS Case Histories -- Appendix B Sample IPQMS Checklist -- Appendix C Members of International, Multidisciplinary Project Team, 1975-1983 -- Contributors, 1984-1997 -- Selected Bibliography -- Index. https://cds.cern.ch/auth.py?r=EBLIB_P_5738693 ebook ebook EBL Engineering-Management EBL201905 Information Transfer and Management SzGeCERN BOOK n 201920 21 PUBLIC BOOK DELETED 2675532 SzGeCERN 20210421202441.0 9781838670207 electronic version electronic version 9781838670207 print version 9781838670214 electronic version electronic version oai:cds.cern.ch:2675532 cerncds:BOOK EBL 5734571 eng HD53 .E984 2019 658.4063 Chase, Rory Extending intellectual capital through integrated reporting Bradford Emerald Publishing Limited 2019 165 p ebook Covers -- Strategic and Editorial advisory boards -- Guest editorial -- Developing trust through stewardship -- The influence of integrated reporting and internationalisation on intellectual capital disclosures -- Improving integrated reporting -- An intellectual capital ontology in an integrated reporting context -- Does environmental, social and governance performance influence intellectual capital disclosure tone in integrated reporting? -- Strategic information disclosure, integrated reporting and the role of intellectual capital -- Social capital and integrated reporting. EBL201905 SzGeCERN Information Transfer and Management BOOK J. Intellect. Cap. 1 https://cds.cern.ch/auth.py?r=EBLIB_P_5734571 ebook 201905 n 201920 21 PUBLIC https://catalogue.library.cern/legacy/2675532 BOOK MIGRATED 2675506 SzGeCERN 20200503232033.0 9780429609206 electronic version electronic version 9781472486479 electronic version electronic version 9781472486479 print version oai:cds.cern.ch:2675506 cerncds:BOOK EBL 5731967 eng HD30.28 .S773 2019 658.4012 Tuncdogan, Aybars Strategic renewal core concepts, antecedents, and micro foundations Milton Routledge 2019 449 p Routledge studies in innovation, organizations and technology Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of figures -- List of tables -- About the editors -- About the contributors -- Preface and acknowledgment -- PART 1: Introduction -- 1. A brief look at the strategic renewal literature -- Core concepts -- Psychological antecedents and micro-foundations of strategic renewal -- Strategic renewal beyond organizational and national boundaries -- Interdisciplinary perspectives and future directions -- Conclusions -- Note -- References -- PART 2: Core concepts -- 2. Strategic renewal and dynamic capabilities: managing uncertainty, irreversibilities, and congruence -- Introduction -- Theories of organizational change -- Efficiency versus efficacy: two fundamental genres of transformation and renewal -- Dynamic capabilities and strategic renewal -- Linking the renewal literature and the capabilities perspective -- Closing capability gaps -- Conclusions -- Acknowledgments -- Notes -- References -- 3. Corporate strategic change towards sustainability: a dynamic capabilities view -- Introduction -- Drivers to corporate sustainability: two theoretical perspectives -- Corporate change towards sustainability: adistinctive strategic change -- The dynamic capabilities view (DCV) -- Towards adefinition of dynamic capabilities for corporate sustainability -- Conclusions -- References -- 4. Towards a cognitive dimension: the organizational ambidexterity framework -- Introduction -- Case for the cognitive dimension: Research gaps and early contributions -- Organizational ambidexterity -- Cognition and organizational ambidexterity -- Discussion and implications -- References -- 5. Knowledge management practices for stimulating incremental and radical product innovation -- Introduction -- Literature review and hypotheses -- Method -- Results -- Discussion -- Notes. References -- 6. Boards of directors and strategic renewal: how do human and relational capital matter? -- Introduction -- Conceptual background and hypotheses -- Data and methods -- Analysis and results -- Discussion and conclusions -- References -- PART 3: Psychological antecedents and micro-foundations of strategic renewal -- 7. Emotion and strategic renewal -- Introduction -- Employees' individual and collective emotion in the context of strategic renewal -- Building an organizational emotional context to facilitate strategic renewal -- Conclusions and future research -- References -- 8. The micro-foundations of strategic renewal: middle managers' job design, strategic change culture, organizational effectiveness unit, and innovative work behavior -- Introduction -- Middle managers' job design and strategic renewal -- The mediating role of managers' innovative work behavior -- The moderating roles of strategic change culture and an organizational effectiveness unit -- Discussion and implications -- References -- 9. Regulatory focus as a mediator of environmental dynamism and decentralization on managers' exploration and exploitation activities -- Introduction -- Theory and hypotheses -- Method -- Analysis and results -- Discussion -- References -- 10. Should I stay or should I go? The individual antecedents of noticing and embracing strategic change -- Introduction -- Individual antecedents of strategic change and innovation -- Conclusions and recommendations -- Acknowledgments -- Notes -- References -- PART 4: Strategic renewal beyond organizational and national boundaries -- 11. Strategic renewal through mergers and acquisitions: the role of ambidexterity -- Introduction -- Mergers and acquisitions: Relatedness, fit, and integration typologies -- Mergers and acquisitions as tools for strategic renewal: Capability gaps and common ground. Postacquisition integration and ambidexterity -- Discussion -- Note -- References -- 12. Developing alliance capability for strategic renewal -- Introduction -- How firms develop alliance capability for strategic renewal -- Discussion -- Recommendations for alliance practice -- Conclusions -- References -- 13. Innovation in foreign and domestic firms: the advantage of foreignness in innovation and the advantage of localness in innovation -- Introduction -- Innovation in global competition -- The advantage of foreignness in innovation and the advantage of localness in innovation -- Competition in ahost country and the relative advantages of foreignness and localness -- Conclusions -- References -- PART 5: Interdisciplinary perspectives and future directions -- 14. Strategic renewal in services: the role of the top management team's social relationships -- Introduction -- Theoretical framework and hypothesis -- Method -- Analyses and results -- Conclusions -- References -- 15. Institutional complexity and strategic renewal -- Introduction -- Theoretical background -- Discussion and conclusions -- References -- 16. Patent-based measures in strategic management research: a review and assessment -- Introduction -- Review of patent-based measures in strategic management research -- Discussion and recommendations -- Note -- References -- 17. Strategic renewal in the digital age: the digital marketing core as a starting point -- Introduction -- Deconstructing the Digital Marketing Core -- An integrative and practical perspective of the Digital Marketing Core: Some examples -- Concluding thoughts, managerial takeaways, and future research directions -- References -- 18. Dynamic game plans: using gamification to entrain strategic renewal with environmental velocity -- Introduction -- Literature review -- Gamifying strategic renewal. Discussion and concluding thoughts -- References -- Index. Lindgreen, Adam Volberda, Henk van den Bosch, Frans https://cds.cern.ch/auth.py?r=EBLIB_P_5731967 ebook ebook EBL Strategic planning-Management EBL201905 Information Transfer and Management SzGeCERN BOOK n 201920 201905 21 PUBLIC BOOK DELETED 2675498 SzGeCERN 20210421202443.0 9781351450232 electronic version electronic version 9781566704908 electronic version electronic version 9781566704908 print version oai:cds.cern.ch:2675498 cerncds:BOOK EBL 5731878 eng T10.68 .S233 2000 658.4/08 Shull, Mark D Environmental risk communication principles and practices for industry Boca Raton, FL Routledge 1999 165 p ebook Cover -- Title Page -- Copyright Page -- Foreword -- Introduction -- About the Authors -- Dedication -- Table of Contents -- 1 Step 1: Operating Legally and Ethically -- 1.1 Compliance with All Regulations -- 1.2 ODOR―Another Nasty Four-Letter Word -- 1.3 Fair and Just Operating Practices -- 1.4 Crisis Communication Planning -- 1.5 Life Cycle of an Emergency -- 1.6 Four Major Elements of Emergency Management -- 1.7 Defining a Crisis -- 2 Step 2: Educating Employees on Benefits and Risks -- 2.1 Why Are You in Business, Anyway? -- 2.2 Determining and Communicating the Health, Safety, and Environmental Risks -- 2.3 Pollution Prevention and Risk Reduction -- 2.4 The Government―Here to Help You -- 2.5 "Demanufacturing," Industrial Ecology, and Life-Cycle Analysis -- 3 Step 3: Listening and Responding to the Public -- 3.1 Identifying and Communicating with Stakeholders -- 3.2 "All You Need To Determine Risk is a Ruler -- 3.3 Establishing a Community Advisory Panel -- 3.4 Submitting to Independent Reviews -- 3.5 Additional Suggestions -- 3.6 What About Activists? -- 3.7 First-Responders and Local Emergency Planning Committees -- 3.8 Public Information Officers -- 4 Step 4: Disseminating Information to the Media -- 4.1 Environmental Reporting in America -- 4.2 The News Business -- 4.3 What is News? -- 4.4 Meeting Media Needs During a Crisis -- 4.5 Who Should Speak? -- 4.6 Who Will Arrive First? -- 4.7 Gathering and Evaluating Information -- 4.8 Guidelines for Successful News Media Interviews -- 4.9 Tips from Behind the Camera During A Crisis -- 4.10 Speedy Release of Information -- 5 Real-World Examples -- 5.1 Fallout from TMI -- 5.2 The Cement Kiln as a Waste Incinerator -- 5.3 Turning the Tide at WTI -- 5.4 Decommissioning a B&W Nuclear Facility -- 6 Planning for the Worst: Risk Communication and the Federal Risk Management Program. 6.1 Understanding the Risk Management Program -- 6.2 The "Big Picture -- 6.3 Applying Risk Communication Principles -- 6.4 Working Together for a Safer Community -- References -- Appendix A State Pollution Prevention Offices -- Appendix B Suggested Readings for Environmental Perspective -- Appendix C Federal and State Emergency Management Offices -- Appendix D Risk Management Plan (RMP) Form -- Appendix E Air Dispersion Modeling Fact Sheet -- Appendix F Questions and Responses for RMPs -- Index. EBL201905 Information Transfer and Management SzGeCERN EBL Risk communication BOOK Sadar, Anthony J https://cds.cern.ch/auth.py?r=EBLIB_P_5731878 ebook n 201920 21 PUBLIC https://catalogue.library.cern/legacy/2675498 BOOK MIGRATED 2675494 SzGeCERN 20210421202444.0 9781119407300 electronic version electronic version 9781119407300 print version 9781119407362 electronic version electronic version oai:cds.cern.ch:2675494 cerncds:BOOK EBL 5731824 eng TK2950 .P375 2019 621.31/2430284 Tiwari, Ashutosh Advanced thermoelectric materials Newark, NJ John Wiley & Sons 2019 608 p ebook Intro -- Title page -- Copyright page -- Preface -- Chapter 1: Charge Transfer in Thermoelectric Nanocomposites: Power Factor Enhancements and Model Systems -- 1.1 Introduction -- 1.2 Composite Thermoelectric Materials -- 1.3 Concept of Modulation Doping -- 1.4 Charge Transfer and Modulation Doping in Bulk Nanocomposites -- 1.5 Modulation Doping in Heterostructures -- 1.6 Ferecrystals -- 1.7 Concluding Remarks -- Acknowledgements -- References -- Chapter 2: Self-Assembled Nanostructured Bulk Si as High-Performance TE Materials -- 2.1 Introduction -- 2.2 Si as an Environmentally-Friendly TE Material -- 2.3 TE Properties of Single-Crystalline Si -- 2.4 Self-Assembled Nanocomposites -- 2.5 TE Properties of Si/Silicide Composite -- 2.6 Overall Comparison and Consideration -- 2.7 Outlook for the Future Work -- References -- Chapter 3: Thermoelectric Seebeck Effect of Disordered Organic Semiconductors -- 3.1 Introduction -- 3.2 Thermoelectric Transport Theory -- 3.3 Thermoelectric Transport Property -- 3.4 Monte Carlo Simulation -- 3.5 Conclusion and Outlook -- Acknowledgement -- References -- Chapter 4: Innovative Approaches Towards the Synthesis of Thermoelectric Oxides -- 4.1 Introduction -- 4.2 Sr, Ba Niobates -- 4.3 Calcium Cobaltite -- 4.4 Zinc Oxide -- References -- Chapter 5: Silicide Thermoelectrics -- 5.1 Introduction -- 5.2 Cobalt Monosilicide CoSi -- 5.3 CrSi2 -- 5.4 FeSi2 -- 5.5 IrSi3 and Ir3Si5 -- 5.6 Mg2Si and Mg2(Si-X) (X=Sn, Ge) Solid Solutions -- 5.7 MnSi1.75 -- 5.8 ReSi1.75 -- 5.9 Ru2Si3 -- 5.10 SrSi2 -- 5.11 Conclusion -- Acknowledgements -- References -- Chapter 6: Recent Advances on Mg2XIV Based Thermoelectric Materials: A Theoretical Approach -- 6.1 Introduction -- 6.2 Theory of Thermoelectric Properties in Bulk and Low-Dimensional Structures -- 6.3 Results and Discussion -- 6.4 Summary and Concluding Remarks -- Acknowledgements. References -- Chapter 7: Low-Dimensional Nanomaterials for Thermoelectric Detection of Infrared and Terahertz Photons -- 7.1 Development History of Thermoelectric Materials -- 7.2 Principles of Thermoelectric Materials -- 7.3 Properties of Thermoelectric Materials -- 7.4 Methods to Improve Thermoelectric Performance -- 7.5 Outlook -- References -- Chapter 8: Advanced Thin Film Photo-Thermal Materials and Applications -- 8.1 Introduction -- 8.2 Advanced Photo-Thermal Materials Based on TiNxOy Film -- 8.3 Colorful and Patterned Photo-Thermal Materials Based on TiNxOy -- 8.4 Perfect Visible Absorber Based on TiN Disordered Metamaterials Film -- 8.5 Applications of Photo-Thermal Materials in Solar Thermoelectric Generators -- References -- Chapter 9: Percolation Effects in Semiconductor IV-VI - Based Solid Solutions and Thermoelectric Materials Science -- 9.1 Introduction -- 9.2 Statistical Thermodynamics of Solid Solutions -- 9.3 General Information on Phase Transitions -- 9.4 Concentration Anomalies of the Properties in Semiconductor IV-VI - Based Solid Solutions (Experimental Results and Discussion) -- 9.5 Practical Significance of the Revealed Effects for Thermoelectric Materials Science -- 9.6 Conclusions -- Acknowledgments -- References -- Chapter 10: Thermoelectric Properties of Granular Carbon Materials -- 10.1 Introduction -- 10.2 Apparatus Design and Methodology for Thermal Conductivity Coefficient Study -- 10.3 Apparatus and Methodology for the Study of Electrical Conductivity (Specific Electrical Resistance) -- 10.4 Results of Research on Thermal Conductivity Coefficient and Specific Electrical Resistance of Bulk Carbon Material and Its Practical Application -- 10.5 Conclusions -- References -- Chapter 11: Thermoelectric Properties and Thermal Stability of Conducting Polymer Nanocomposites: A Review -- 11.1 Introduction. 11.2 Results and Discussion -- 11.3 Conclusions -- Acknowledgements -- References -- Chapter 12: Disorder in Metamaterials -- 12.1 Introduction -- 12.2 Types of Metamaterials -- 12.3 Examples of the Disordered Metamaterials -- 12.4 Conclusions and Outlook -- References -- Index -- End User License Agreement. EBL201905 Engineering SzGeCERN BOOK Park, Chong Rae https://cds.cern.ch/auth.py?r=EBLIB_P_5731824 ebook n 201920 201905 21 PUBLIC https://catalogue.library.cern/legacy/2675494 BOOK MIGRATED 2675478 SzGeCERN 20191219215658.0 9781138053250 electronic version electronic version 9781138053250 print version 9781351682589 electronic version electronic version oai:cds.cern.ch:2675478 cerncds:BOOK EBL 5729721 eng QA76.9.B45 .D385 2019 005.7 Bigo, Didier Data politics worlds, subjects, rights Milton Routledge 2019 305 p Routledge studies in international political sociology Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- List of illustrations -- Figures -- Table -- Textbox -- List of contributors -- The editors -- The contributors -- Acknowledgements -- Chapter 1: Data politics -- Introduction -- What is data politics? -- Part I: conditions of possibility of data politics -- Part II: worlds -- Part III: subjects -- Part IV: rights -- Conclusion -- Note -- References -- PART I: Conditions of possibility of data politics -- Chapter 2: Knowledge infrastructures under siege: climate data as memory, truce, and target -- Introduction -- "Long data" and environmental knowledge -- The glass laboratory -- Truces as targets: three climate data controversies of the early 21st century -- New fronts in the siege -- Conclusion -- Notes -- References -- Chapter 3: Against infrasomatization: towards a critical theory of algorithms -- "Freedom" -- "Chaos" -- Conclusions -- Notes -- Bibliography -- Chapter 4: Surveillance capitalism, surveillance culture and data politics -- Introduction -- Surveillance capitalism -- Surveillance culture -- Situating surveillance culture, surveillance capitalism -- Data politics and an optics of hope -- Note -- References -- PART II: Worlds -- Chapter 5: Mutual entanglement and complex sovereignty in cyberspace -- The territorialization impulse in cyberspace -- The United States and the transformation of cyberspace -- The extraterritorial projection of autocratic power -- Conclusion -- Note -- References -- Chapter 6: Digital data and the transnational intelligence space -- Introduction -- Data, information, intelligence: data as performances and products of competition between intelligence agencies -- Data ownership: an electronic encomienda -- Intelligence data: the work and competitions of intelligence actors. The transnational space of intelligence: the structural modalities and dispositions of actors regarding the digital -- Concluding remarks -- Notes -- Bibliography -- Chapter 7: From fake to junk news: the data politics of online virality -- Junk news is not about algorithmic persuasion -- Junk news as a viral pollution -- Five modes of junk news production -- Conclusions -- References -- Chapter 8: Seeing like Big Tech: security assemblages, technology, and the future of state bureaucracy -- Shifting public-private assemblages in the security field -- Bureaucracies in the age of data governance -- The Government Machine and the rule of law -- References -- PART III: Subjects -- Chapter 9: Towards data justice: bridging anti-surveillance and social justice activism -- The Snowden leaks and political activism -- Anti-surveillance and techno-legal resistance -- Resistance to datafication amongst political activists -- Responses to Snowden -- Resisting data collection -- "Data justice" and the bridging of activism(s) -- Conclusion -- Notes -- References -- Chapter 10: Theses on automation and labour -- Automation has already happened -- Automation makes futures -- Automation needs data -- Automation intensifies extraction -- Automation adapts to environments -- Automation fails -- References -- Chapter 11: Data's empire: postcolonial data politics -- Postcolonial data politics -- Governing peoples: biopolitics and empire -- Governing postcolonial peoples -- Decolonising data's empire -- References -- PART IV: Rights -- Chapter 12: The right to data oblivion -- Introduction: accumulation of digital data in the information society -- The life and death of digital data -- A first legal-informatics issue: data portability -- A second legal-informatics issue: the right to be forgotten -- The impossibility of a technological oblivion. Conclusions: three forms of data oblivion -- Notes -- References -- Chapter 13: Data citizens: how to reinvent rights -- Introduction -- Right to the city, right to data -- Citizen data, urban worlds -- Conclusion: Propositions for citizen data and urban worlds -- Acknowledgments -- Note -- Bibliography -- Chapter 14: Data rights: claiming privacy rights through international institutions -- Introduction -- Why data citizens? -- Data citizen -- Data citizens and international human rights: the ICCPR -- Personal data sharing among states - hastening the emergence of the data citizen? -- Conclusion -- Notes -- Bibliography -- Index. Isin, Engin F Ruppert, Evelyn https://cds.cern.ch/auth.py?r=EBLIB_P_5729721 ebook ebook EBL Big data-Political aspects EBL201905 Computing and Computers SzGeCERN BOOK n 201920 201905 21 PUBLIC BOOK DELETED 2675455 SzGeCERN 20210421202448.0 9789087537890 electronic version electronic version 9789401802543 electronic version electronic version 9789401802543 print version oai:cds.cern.ch:2675455 cerncds:BOOK EBL 5727071 eng QA76.9.E58 .B355 2012 004.0286 Grundeman, Michael EXIN green IT foundation workbook Zaltbommel Van Haren Publishing 2018 137 p ebook Intro -- Colophon -- Introduction -- 1. Understanding Green IT -- 1.1 The relationship between Corporate Social Responsibility (CSR) and Green IT -- 1.1 Drivers and motivators for Green IT -- 1.2 Definition of Green IT -- 1.3 The SMART/GREEN ICT Framework -- 2. Lifecycle Management -- 2.1 Acquisition of equipment, services and consumables -- 2.2 Operational use -- 2.3 End of life -- 3. Optimizing the Infrastructure -- 3.1 Demand Infrastructure -- 3.2 Supply Infrastructure -- 4. IT as Enabler -- 4.1 Virtual collaboration and e-working -- 4.2 Smart business systems -- 4.3 Smart workplace -- 5 Governance and Processes for Green IT -- 5.1 Environmental governance and Green IT policy -- 5.2 Green IT in relation to Service management -- List of basic concepts -- Literature and references -- Organizations -- Answer Key. EBL201905 Computing and Computers SzGeCERN EBL Information technology-Environmental aspect BOOK Visser, Rene Bakker, Nick https://cds.cern.ch/auth.py?r=EBLIB_P_5727071 ebook n 201920 201905 21 PUBLIC https://catalogue.library.cern/legacy/2675455 BOOK MIGRATED 2675452 SzGeCERN 20210421202448.0 9780398092696 electronic version electronic version 9780398092696 print version 9780398092702 electronic version electronic version oai:cds.cern.ch:2675452 cerncds:BOOK EBL 5726164 eng HD61.5 .B535 2019 658.4/08 Blake, William F Blueprint for business safety and security a guide to protecting your business Springfield, IL Charles C. Thomas Publisher 2019 203 p ebook Intro -- BLUEPRINT FOR BUSINESS SAFETY AND SECURITY -- ABOUT THE AUTHOR -- PREFACE -- CONTENTS -- BLUEPRINT FOR BUSINESS SAFETY AND SECURITY -- Chapter 1 INTRODUCTION -- What Are the Potential Costs of Negligence Security Claims? -- What Factors Influence the Safety and Security of My Business? -- What Are the Legal Elements of a Premises Security Claim? -- Chapter 2 HOW DO I IDENTIFY THE RISKS TO MY BUSINESS? -- Chapter 3 THE IMPACT OF OSHA REGULATIONS ON A BUSINESS -- Introduction -- Who Does OSHA Cover? -- Right to a Safe and Healthful Workplace -- Worker, Environmental and Nuclear Safety Laws -- Transportation Industry Laws -- Fraud Prevention Laws -- OSHA Assistance, Services and Programs -- Establishing a Safety and Health Program -- NIOSH Health Hazard Evaluation Program -- OSHA Regional Offices -- Chapter 4 DESIGNING A COMPREHENSIVE SAFETY AND SECURITY PROGRAM -- What Should Be Protected? -- How Do I Know What I Should Have Within My Security Program? -- How Do I Ensure Our Program Is Adequately Comprehensive? -- How Do I Identify and Evaluate Security Devices? -- How Can I Control the Cost of Security Equipment? -- How Do I Identify a Responsive and Qualified Products and Services Vendor? -- How Do I Insure the Continuing Proper Operation? -- Chapter 5 STRATEGIES FOR REDUCING RISK -- Were the Security Measures Reasonable and Appropriate? -- Chapter 6 SECURITY DEVICES AND SYSTEMS -- Summary -- Chapter 7 POLICY AND PROCEDURE DEVELOPMENT -- Protection of Proprietary and Sensitive Information, Equipment and Access -- Electronic and Fire Protection Systems -- Emergency, Contingency and Evacuation Plans -- Possession of Weapons on the Property -- Summary -- Chapter 8 SECURITY AND SAFETY RELATED POLICIES AND PROCEDURES -- Chapter 9 CONTROLLING INTERNAL THEFT -- Introduction -- Forms of Employee Theft -- Signs of Employee Theft. Stopping Employee Theft -- Summary -- Chapter 10 INTERVIEWS, INTERPRETERS AND STATEMENTS -- PLANNING THE INTERVIEW -- Interviewer Methodology -- Interviewing Minors and the Elderly -- Developing Interview Questions -- What Is the Best Location for Conducting an Interview? -- What is the Most Productive Interview Protocol? -- USING AN INTERPRETER -- Choosing an Interpreter -- Finding an Interpreter -- OBTAINING WRITTEN STATEMENTS -- What Is an Appropriate Statement Format? -- SUMMARY -- Chapter 11 LABOR RELATIONS AND WEINGARTEN RIGHTS -- Mandatory Bargaining Requirements -- Unfair Labor Practices -- Weingarten Rights -- QUESTIONS AND ANSWERS REGARDING WEINGARTEN RIGHTS -- Steward's Request -- Coercion -- Can Employee Refuse to Go to a Meeting? -- Medical Examination -- Lie Detector Test -- Sobriety Test -- Locker Search -- Counseling Session -- Private Attorney -- Recording the Interview -- Questions About Others -- Obstruction -- What Are the Rights of a Non-Union Employee in a Unionized Business? -- Summary -- Chapter 12 REPRESENTATIVE NEGLIGENT SECURITY COURT CASES -- Control of Vacant Spaces -- Disclaimers and Warnings -- Employee Screening-Inaccurate Personnel Recommendation -- Employee Screening-Negligent Hiring and Retention -- Extraterritorial Security-Assumption of Duty -- Incident Documentation-Destruction of Records -- Incident Reporting-Reporting Standards -- Key Control-Failure to Control Keys -- Key Control-Failure to Rekey -- Negligent Security-Inadequate Security -- Security Maintenance Programs -- Security Negligence-Assault -- Security Officer Negligence-Dereliction of Duty -- Security Officer Negligence-Failure to Call Police -- Security Officer Negligence-Failure to Exclude Terminated Employee -- Security Officer Negligence-Not at Assigned Location -- Security Officer Negligence-Intentional Infliction of Emotional Distress. Security Procedures Manual-Failure to Follow Procedures -- Security Measures Misrepresented-24-Hour Security -- Security Measures Misrepresented- Non-existent Security Measures -- Security Trade Practices Do Not Establish Legal Standard of Care -- Violation of Company Policy-Possession of a Gun -- Warning Policy-Failure to Disclose Building Defects -- Warning Policy-Failure to Disclose Existing Dangers -- Chapter 13 SURVIVING AN ACTIVE SHOOTER OR HOSTILE EVENT -- Introduction -- Identifying Characteristics of a Typical Active Shooter -- Warning Signs -- Who Is at Risk? -- Preventive Strategies for Your Facility -- Exterior Areas -- Access Control -- Reception and Waiting Areas -- Administrative Areas -- Listen to Your Intuition, Follow Your Gut Reaction, Act Fast! -- When Escaping Is Not an Option24 -- Developing Your Plan -- Summary -- APPENDICES -- Appendix A GENERIC RISK ASSESSMENT CHECKLIST -- General Information -- Demographic Influences -- Security Operations -- Perimeter Control -- Parking Control -- Building Security and Access Control -- Fire Safety -- Physical Asset Protection -- Information Security -- Personal Safety and Security Awareness -- Appendix B DISCOVERABLE DOCUMENTS. The average small- to medium-sized business owner is frequently unaware of safety and security issues that affect their business. When a person suffers a loss or injury while on the business property, there is an expectation by the staff member or customer that they are safe and secure from harm.  As a result, a claim of negligent security can be made, and very expensive civil litigation can ensue. Blueprint for Business Safety and Security outlines some of these issues and discusses some reasonable and appropriate measures to take in order to reduce the potential for negligent security claims.  The primary objective is to assist the business owner maintain a reputation as a safe location to work and conduct business.  It will also be of interest to private investigators, attorneys, security professionals, law enforcement personnel, and students of security. EBL201905 Information Transfer and Management SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5726164 ebook n 201920 201905 21 PUBLIC https://catalogue.library.cern/legacy/2675452 BOOK MIGRATED 2675436 SzGeCERN 20210421202450.0 9788793519770 electronic version electronic version 9788793519787 electronic version electronic version 9788793519787 print version oai:cds.cern.ch:2675436 cerncds:BOOK EBL 5725479 eng TK5105.8857 .H363 2019 004.678 Handte, Marcus Adaptive middleware for the Internet of Things the GAMBAS approach Aalborg River Publishers 2019 244 p ebook River Publishers series in communications Front Cover -- Half Title Page -- RIVER PUBLISHERS SERIES IN COMMUNICATIONS -- Title Page - Adaptive Middleware for the Internet of Things - The GAMBAS Approach -- Copyright Page -- Contents -- Preface -- List of Figures -- List of Abbreviations -- Chapter 1 - Introduction -- 1.1 Motivation -- 1.2 GAMBAS Objectives -- 1.3 Application Scenarios -- 1.3.1 Mobility Scenario -- 1.3.2 Environmental Scenario -- 1.4 Overarching Vision -- 1.4.1 Smart Cities -- 1.4.2 Characteristics -- 1.5 State of the Art -- 1.5.1 Hardware Technologies -- 1.5.1.1 Devices -- 1.5.1.2 Communication -- 1.5.1.3 Sensing -- 1.5.1.4 Classification -- 1.5.2 Communication Middleware -- 1.5.3 Context Management -- 1.5.4 Sensing Applications -- 1.6 Innovations -- Chapter 2 - Architecture -- 2.1 Static Perspective -- 2.1.1 Operational View -- 2.1.2 Component View -- 2.1.3 Data View -- 2.1.3.1 Data Access -- 2.1.3.2 Data Representation -- 2.1.3.3 Data Dynamics -- 2.2 Dynamic Perspective -- 2.2.1 Acquisition View -- 2.2.1.1 Personal Data Acquisition -- 2.2.1.2 Collaborative Data Acquisition -- 2.2.2 Processing View -- 2.2.2.1 Processing of Public Data -- 2.2.2.2 Processing of Shared Data -- 2.2.3 Inference View -- 2.2.3.1 Local Inferences -- 2.2.3.2 Distributed Inferences -- 2.3 Interface Perspective -- 2.3.1 Storage Interfaces -- 2.3.2 Query Interfaces -- 2.3.3 Privacy Interfaces -- 2.3.4 Control Interfaces -- Chapter 3 - Data Acquisition -- 3.1 Focus and Contribution -- 3.1.1 Data Acquisition Frameworks -- 3.1.2 Rapid Prototyping Tools -- 3.1.3 Application-Specific Acquisition -- 3.1.4 Contribution -- 3.2 Data Acquisition Framework -- 3.2.1 Component System -- 3.2.1.1 Component Model -- 3.2.1.1.1 Components -- 3.2.1.1.2 Parameters -- 3.2.1.1.3 Ports -- 3.2.1.1.4 Connectors -- 3.2.1.1.5 Configurations -- 3.2.1.2 Runtime System -- 3.2.1.2.1 System Structure. 3.2.1.2.2 Configuration Execution -- 3.2.1.2.3 Platform Support -- 3.2.1.3 Tool Support -- 3.2.2 Activation System -- 3.2.2.1 Activation Model -- 3.2.2.1.1 States -- 3.2.2.1.2 Transitions -- 3.2.2.2 Runtime System -- 3.2.2.2.1 System Structure -- 3.2.2.2.2 Configuration Mapping -- 3.2.2.2.3 Platform Support -- 3.2.2.2.4 Tool Support -- 3.3 Data Acquisition Components -- 3.3.1 Context Recognition -- 3.3.1.1 Location Recognition -- 3.3.1.2 Trip Recognition -- 3.3.1.3 Sound Recognition -- 3.3.1.3.1 Noise Recognition -- 3.3.1.3.2 Voice Tagging -- 3.3.1.3.3 Voice Control -- 3.3.2 Intent Recognition -- 3.3.2.1 Duration Prediction -- 3.3.2.2 Destination Prediction -- 3.3.2.3 Prediction Algorithm -- Chapter 4 - Data Processing -- 4.1 Focus and Contribution -- 4.1.1 Data Representation -- 4.1.2 Query Processing -- 4.1.3 Contribution -- 4.2 Data Model -- 4.2.1 Data Definition -- 4.2.1.1 User Class -- 4.2.1.2 Place Class -- 4.2.1.3 Activity Class -- 4.2.1.4 Journey Class -- 4.2.1.5 TravelMode Class -- 4.2.1.6 Bus Class -- 4.2.1.7 Jogging Class -- 4.2.1.8 Shopping Class -- 4.2.2 Query Specification -- 4.2.2.1 Queries on Users -- 4.2.2.2 Queries on Buses -- 4.3 Data Discovery -- 4.3.1 Architecture -- 4.3.2 Metadata Management -- 4.3.2.1 Publishing Metadata -- 4.3.3 Querying Data Sources -- 4.3.4 Security and Privacy -- 4.3.5 Client-side Caching -- 4.4 Data Processing -- 4.4.1 Data Storage -- 4.4.1.1 Data Storage Optimization Techniques -- 4.4.1.2 Data Storage Optimization Results -- 4.4.2 Query Processor -- 4.4.2.1 Access Control -- 4.4.2.2 Distributed Queries -- 4.4.2.3 Continuous Queries -- Chapter 5 - Privacy Preservation -- 5.1 Focus and Contribution -- 5.1.1 Trusted Computing Hardware -- 5.1.2 Key Exchange and Derivation -- 5.1.3 Obfuscation and Generalization -- 5.1.4 Contribution -- 5.2 Privacy Framework -- 5.2.1 Overview -- 5.2.2 Mechanisms. 5.2.2.1 Authentication and Key Exchange -- 5.2.2.1.1 Server Authentication -- 5.2.2.1.2 User-to-User Authentication -- 5.2.2.2 Secure Communication -- 5.2.2.3 Access Control -- 5.2.2.3.1 Data Acquisition Framework (DQF) -- 5.2.2.3.2 Device-based Registry -- 5.2.2.3.3 Remote Data Storage and Continuous Queries -- 5.3 Privacy Policy -- 5.3.1 Automatic Generation -- 5.3.2 Manual Fine-Tuning -- 5.4 Privacy Integration -- 5.4.1 Data Transfer -- 5.4.1.1 Client and Server Communication -- 5.4.1.2 Device-to-Device Communication -- 5.4.1.3 Server-to-Server Communication -- 5.4.2 Data Acquisition -- 5.4.3 Data Processing -- Chapter 6 - Applications -- 6.1 Application Development Support -- 6.1.1 Overview -- 6.1.2 J2SE Support -- 6.1.3 Android Support -- 6.1.3.1 GAMBAS Middleware App -- 6.1.3.2 GAMBAS User Interface -- 6.1.4 Application Examples -- 6.1.4.1 GAMBAS Voiceprint Launcher -- 6.1.4.1.1 Data Acquisition -- 6.1.4.1.2 Data Processing -- 6.1.4.1.3 Privacy Preservation -- 6.1.4.1.4 Intentional User Interface -- 6.1.4.2 GAMBAS Linked Weather -- 6.1.4.2.1 Secure Communication -- 6.1.4.2.2 Data Processing -- 6.1.4.2.3 Intentional User Interface -- 6.1.4.2.4 Legacy Data Wrapper -- 6.1.4.3 GAMBAS Locator -- 6.1.4.3.1 Secure Communication -- 6.1.4.3.2 Data Acquisition -- 6.1.4.3.3 Data Processing -- 6.1.4.3.4 Privacy Preservation -- 6.1.4.3.5 Intentional User Interface -- 6.2 Application Architecture -- 6.2.1 Mobility Scenario -- 6.2.1.1 System Deployment -- 6.2.1.2 System Interaction -- 6.2.2 Environmental Scenario -- 6.2.2.1 System Deployment -- 6.2.2.2 System Interaction -- 6.3 Application Components -- 6.3.1 Application Services -- 6.3.1.1 Tile Service -- 6.3.1.2 Incident Service -- 6.3.1.3 Crowd Service -- 6.3.1.4 Routing Service -- 6.3.1.5 Network Service -- 6.3.1.6 Timetable Service -- 6.3.1.7 Geo Service -- 6.3.1.8 Log Service -- 6.3.1.9 Noise Service. 6.3.1.10 Environmental Service -- 6.3.2 Sensing Applications -- 6.3.2.1 Noise-level Mobile App -- 6.3.2.2 Pollution-level System -- 6.3.2.3 Crowd-level System -- 6.3.3 End-user Applications -- 6.3.3.1 Navigation App -- 6.3.3.2 Environmental Map -- 6.3.4 Operator Applications -- 6.3.4.1 Congestion Notifications -- 6.3.4.2 Demand Notifications -- 6.3.4.3 Occupancy Analysis -- 6.4 Application Evaluation -- Chapter 7 - Conclusion -- Bibliography -- Index -- About the Authors -- Back Cover. EBL201905 Computing and Computers SzGeCERN BOOK Marrón, Pedro José Schiele, Gregor Matoses, Manuel Serrano https://cds.cern.ch/auth.py?r=EBLIB_P_5725479 ebook n 201920 201905 21 PUBLIC https://catalogue.library.cern/legacy/2675436 BOOK MIGRATED 2675419 SzGeCERN 20210421202453.0 9780128165065 electronic version electronic version 9780128165065 print version 9780128166307 electronic version electronic version oai:cds.cern.ch:2675419 cerncds:BOOK EBL 5721538 eng RS420 .G786 2019 610.28 Grumezescu, Alexandru Mihai Biomedical applications of nanoparticles San Diego, CA Elsevier Science & Technology Books 2019 532 p ebook Micro & nano technologies series Front Cover -- Biomedical Applications of Nanoparticles -- Copyright -- Contents -- Contributors -- Foreword -- Preface -- Chapter 1: Introduction to cancer nanotherapeutics -- 1. Cancer -- 1.1. Introduction -- 1.2. Main causes -- 1.3. Types of cancers -- 1.4. Current treatments -- 1.4.1. Surgery -- 1.4.2. Chemotherapy -- 1.4.3. Radiation therapy -- 1.4.4. Targeted therapy -- 1.4.5. Immunotherapy -- 2. Nanomedicine -- 2.1. Nanotherapeutics -- 2.2. Cellular and organ specific targets -- 3. Drug delivery systems -- 4. Cancer nanotherapy -- 4.1. Biological barriers -- 4.2. Cancer immunotherapy -- 4.3. Delivery of cancer therapeutics -- 4.4. Current studies for different types of cancers -- 5. Conclusions -- 6. Future perspectives -- References -- Chapter 2: Nanodrug delivery systems in cancer -- 1. Introduction to cancer biology and antitumoral therapy -- 1.1. Therapeutic approaches of neoplasia -- 2. Nanoparticles use in cancer prevention, diagnosis and therapy -- 3. Methods to obtain a controlled drug release -- 4. Nanoparticles in clinical trials -- 4.1. Carrier-based drug delivery systems -- 4.2. Imagistic-magnetic resonance imaging (MRI) -- 4.3. Plasmonic nanophotothermic therapy -- 4.4. Gene therapy -- 5. The small interference RNA (siRNA) approach in cancer therapy -- 6. Conclusions -- Acknowledgments -- References -- Further reading -- Chapter 3: Nanoparticles and hyperthermia -- 1. Introduction -- 2. Using nanoparticles to increase hyperthermia effects -- 2.1. Nanoparticle-tumor interactions -- 2.1.1. Routes of administration -- 2.1.2. On the tumor pathophysiology -- 2.2. On the magnetism of nanoparticles -- 2.3. On the magnetic heating mechanism -- 2.4. Candidate nanoparticles for magnetic hyperthermia -- 3. Magnetic hyperthermia therapy -- 3.1. Clinical concerns for magnetic hyperthermia therapy. 3.2. Magnetic hyperthermia therapy from preclinical to clinical trials -- 4. Conclusions -- Acknowledgments -- References -- Chapter 4: Pharmaceutical nanotechnology: Brief perspective on lipid drug delivery and its current scenario -- 1. Introduction -- 1.1. Lipids -- 2. Classification of lipids and various lipid based excipients -- 2.1. Fatty acids -- 2.2. Glycerides -- 2.3. Waxes -- 2.4. Phospholipids -- 2.5. Sterols -- 3. Lipid based excipients -- 3.1. Vegetable oils -- 3.2. Vegetable oil derivatives -- 3.3. Mixed glycerides and polar oils -- 3.4. Digestion, absorption and circulation of lipids -- 3.5. Principle behind the formation a lipid based nanoemulsion -- 3.6. Formation of nanoemulsion by high and low energy emulsification methods -- 3.7. High energy emulsification methods -- 3.8. Low energy emulsification methods -- 4. Different approaches in the development of lipid-based formulations -- 4.1. Liquid lipid-based formulations -- 4.2. Solid lipid based formulations -- 4.3. Lipid as colloidal drug carriers -- 4.4. Stability of lipid based nanoemulsions -- 4.5. Scale up feasibility -- 5. Toxicity and regulatory status of lipid excipients -- 6. The path ahead for development of lipid-based delivery systems -- 6.1. Book to bench experience -- 7. Conclusion -- References -- Chapter 5: Lipid nanocarriers: Preparation, characterization and absorption mechanism and applications to improve oral bi ... -- 1. Introduction to lipid nanocarriers -- 2. Types of lipid nanocarriers -- 2.1. Solid lipid nanoparticles (SLNs) -- 2.2. Nanostructured lipid carriers (NLCs) -- 2.3. Lipid drug conjugates (LDCs) -- 3. Advantages and comparison of lipid nanocarriers -- 4. Components and their selection -- 4.1. Solid lipid nanoparticles (SLNs) -- 4.1.1. Lipids -- 4.1.2. Emulsifiers -- 4.2. Nanostructured lipid carriers (NLCs) -- 4.2.1. Lipids -- 4.2.2. Emulsifiers. 4.3. Lipid drug conjugates (LDCs) based nanoparticles -- 5. Methods to formulate drug-loaded lipid nanocarriers -- 5.1. Microemulsion technique -- 5.2. Solvent evaporation -- 5.3. Solvent diffusion -- 5.4. Homogenization technique -- 5.4.1. High-pressure homogenization -- 5.4.2. High-shear homogenization -- 5.4.3. Hot homogenization and cold homogenization -- 5.5. Phase inversion technique -- 5.6. Membrane contractor -- 5.7. Supercritical fluid technique -- 6. Characterization of drug-loaded lipid nanocarriers -- 7. Mechanism of drug absorption enhancement -- 7.1. Absorption of free drug released from drug-loaded SLNs via gastrointestinal tract -- 7.2. Passive absorption of lntact drug-loaded SLNs via blood capillary -- 7.3. Passive absorption of intact drug-loaded SLNs via lymph capillary -- 7.4. Active absorption of intact drug-loaded SLNs through intestinal epithelium -- 7.5. Active absorption of intact drug-loaded SLNs via peyer's patches -- 8. Method to elucidate absorption mechanism -- 8.1. In vitro models -- 8.1.1. Caco-2 cell culture model -- 8.1.2. Chylomicrons model -- 8.2. In vivo models -- 9. Current investigations, limitations and future direction -- 9.1. Current investigations and limitations -- 9.1.1. Apomorphine -- 9.1.2. Arteether -- 9.1.3. Decitabine -- 9.1.4. Docetaxel -- 9.1.5. Domperidone -- 9.1.6. Efavirenz -- 9.1.7. Glibenclamide -- 9.1.8. Lovastatin -- 9.1.9. Methotrexate -- 9.1.10. Progesterone -- 9.1.11. Testosterone -- 9.1.12. Vinpocetine -- 9.1.13. Miscellaneous -- 9.2. Future direction -- References -- Chapter 6: Liposomes as topical drug delivery systems: State of the arts -- 1. Introduction -- 2. Liposomes as topical/transdermal drug delivery for various skin disorders -- 3. Conclusion -- References -- Further reading -- Chapter 7: Synthesis of hydrogels and their emerging role in pharmaceutics -- 1. Introduction. 2. History -- 2.1. Era of hydrogels -- 3. Synthesis of hydrogel film -- 3.1. Use of agave tequilana weber bagasse fibers to synthesize hydrogel film -- 3.1.1. Information about plant -- 3.1.2. Taxonomical classification -- 3.1.3. Agave fiber treatment -- 3.1.4. Hydrogel film preparation -- 3.2. Use of bamboo fibers for synthesis of hydrogel -- 3.2.1. Taxonomical classification -- 3.2.2. Cellulose solution preparation -- 3.2.2.1. NaOH based aqueous method -- 3.2.2.2. NaOH/urea method -- 3.2.2.3. DMAc/LiCl method -- 3.2.3. Preparation of hydrogel -- 3.2.4. Preparation of hydrogel films -- 3.2.4.1. NaOH-based aqueous method -- 3.2.4.2. NaOH/urea aqueous method -- 3.2.4.3. DMAc/LiCl method -- 3.3. Preperation of hydrogel from azadirachta indica -- 3.3.1. Plant description -- 3.3.2. Taxonomic classification -- 3.3.3. Semi IPN hydrogel preparation -- 3.3.4. Plant extract preparation -- 3.3.5. Preparation of semi IPN hydrogel-silver nanocomposite -- 4. Types of hydrogels -- 4.1. Intelligent (or) smart hydrogels -- 4.2. pH sensitive hydrogels -- 4.3. Temperature-sensitive hydrogels (or) thermo gels -- 4.4. Complexing hydrogels -- 4.5. Thermally reversible gel -- 4.6. Enzyme sensitive -- 4.7. Light sensitive system -- 4.8. Ion sensitive hydrogels -- 4.9. Magnetically responsive hydrogels -- 4.10. In situ hydrogels -- 4.11. Thermosensitive hydrogel -- 5. Properties of hydrogel -- 5.1. Swelling property -- 5.2. Mechanical properties -- 5.3. Biocompatible properties -- 6. Characteristics of hydrogels -- 7. Importance of hydrogels -- 8. Applications -- 8.1. Hydrogels use as tissue engineering matrices -- 8.2. Advantages and disadvantages of hydrogels as tissue engineering matrices -- 8.2.1. Advantages -- 8.2.2. Disadvantages as a tissue engineering matrices -- 8.3. Manufacturing contact lenses -- 8.3.1. Contact lenses -- 8.3.2. Hard lenses -- 8.3.3. Soft lenses. 8.4. Hydrogel dressing of wounds -- 8.4.1. Advantages of this method -- 8.5. Development of a new chitosan hydrogel for wound dressing -- 8.6. Hydrogel-based drug delivery systems for poorly water-soluble drugs -- 9. Application of hydrogel granules -- 9.1. Dry applications -- 9.2. Wet application -- 10. Summary -- References -- Further reading -- Chapter 8: Targeting aspects of hydrogels in drug delivery -- 1. Introduction -- 1.1. General introduction -- 1.2. Hydrogelators -- 1.3. Synthesis of hydrogels -- 1.4. Role of hydrogelators and cross linkers -- 1.4.1. Chemically cross linked gels -- 1.5. Self-assembly process -- 2. Properties of hydrogelators and hydrogels -- 2.1. Physicochemical properties -- 2.2. Biocompatibility -- 2.3. Biodegradability -- 2.4. Morphological behavior -- 2.5. Stimuli responsiveness -- 3. Physiological parameters -- 3.1. Physiological pH -- 3.2. Temperature -- 3.3. Electrolytic conditions -- 3.4. Local physiochemical conditions -- 4. Mechanism of drug delivery -- 4.1. Light induced drug delivery -- 4.2. Ultrasonic -- 4.3. Magnetic field -- 5. Types of formulations -- 5.1. Macrogels -- 5.2. Nanogels -- 5.3. Swelling studies of nanogels -- 6. Drug loading in nanogels -- 6.1. Direct addition method -- 6.2. Dialysis method -- 6.3. Soaking method -- 7. Drug release mechanisms -- 7.1. Diffusion controlled release systems -- 7.2. Chemically controlled systems -- 7.3. Swelling controlled release systems -- 7.4. Environmentally responsive systems -- 7.5. Nanogels as potential gene and antisense delivery agents -- 7.6. Toxic scavengers -- 7.7. Encapsulation of enzyme in nanogels to enhance bio catalytic activity and stability -- 7.8. Artificial chaperones -- 7.9. Cancer chemotherapy -- 7.10. Insulin delivery by nanogels -- 7.11. Artificial vaccines -- 7.12. Nanogels for treatment of neurodegenerative disorders. 7.13. Antiviral effect of drug-nanogel formulation. EBL201905 Health Physics and Radiation Effects SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5721538 ebook n 201920 201905 21 PUBLIC https://catalogue.library.cern/legacy/2675419 BOOK MIGRATED 2675394 SzGeCERN 20210421202456.0 9780128139752 electronic version electronic version 9780128139752 print version 9780128139769 electronic version electronic version oai:cds.cern.ch:2675394 cerncds:BOOK EBL 5602984 eng TK9145 .S767 2019 621.48 Bindra, Hitesh Storage and hybridization of nuclear energy techno-economic integration of renewable and nuclear energy San Diego, CA Elsevier Science & Technology 2018 302 p ebook Front Cover -- Storage and Hybridization of Nuclear Energy Techno-economic Integration of Renewable and Nuclear Energy -- Copyright -- Contents -- Contributors -- Preface -- Acknowledgment -- Chapter One: Economics of Advanced Reactors and Fuel Cycles -- 1.1. Introduction to Nuclear Power Economics -- 1.1.1. The Nuclear Fuel Cycle -- 1.1.2. Levelized Cost of Electricity -- 1.2. Capital Costs -- 1.2.1. Financing -- 1.2.2. Uncertainty -- 1.2.3. Delay -- 1.2.4. Technological Maturity -- 1.3. Front-End Fuel Cycle Costs -- 1.3.1. Mining and Milling -- 1.3.2. Conversion -- 1.3.3. Enrichment -- 1.3.4. Fuel Fabrication -- 1.4. Back-End Fuel Cycle Costs -- 1.4.1. Reprocessing -- 1.4.2. Storage -- 1.4.3. Disposal -- 1.4.4. Decommissioning -- 1.5. Advanced Reactors -- 1.5.1. Classes of Reactors -- 1.5.2. High-Temperature Reactors -- 1.5.3. Liquid-Fueled Molten Salt Reactors -- 1.5.4. Breeder Reactors -- 1.6. Advanced Fuel Cycles -- 1.7. Summary -- References -- Chapter Two: Hybrid and Integrated Nuclear Power, Compressed Air Energy Storage, and Thermal Energy Storage System -- 2.1. Introduction -- 2.1.1. Nuclear Power -- 2.1.2. Waste Energy From Nuclear Power -- 2.1.3. Energy Storage -- 2.1.4. Reuse of Stored Energy -- 2.2. Energy Storage and Reuse Technologies -- 2.2.1. Thermal Energy Storage -- 2.2.2. Compressed Air Energy Storage System -- 2.2.3. Compressed Air Energy System-Nonadiabatic -- 2.2.4. Compressed Air Energy System-Adiabatic -- 2.3. Hybrid and Integrated Production, Storage, and Reuse -- 2.4. Challenges and Gains -- References -- Chapter Three: Nuclear-Wind Powered Microgrid: Reduced-Order Modeling of LWR Response -- 3.1. Increasing Grid Penetration of Renewable Energy Sources -- 3.1.1. Impact on Nuclear Power -- 3.1.2. Load Following NPPs -- 3.2. Reduced-Order Model-Nuclear Reactor Dynamics -- 3.2.1. Temperature Feedback. 3.2.2. Energy Balance -- 3.2.3. Control System -- 3.3. Estimating Power Generation From Wind Energy Systems -- 3.3.1. Statistical Model of Wind Speed -- 3.3.2. Load Curve for NPP -- 3.4. Numerical Results -- 3.4.1. Integrated Microgrid: Expected Outcomes -- 3.5. Summary -- References -- Chapter Four: Nuclear Hydrogen Production -- 4.1. Introduction -- 4.1.1. Need for Hydrogen Production -- 4.1.2. Hydrogen -- 4.1.3. Nuclear Energy -- 4.2. Nuclear-Based Hydrogen Production -- 4.2.1. Low-Temperature Water Electrolysis -- 4.2.2. Steam Electrolysis (High-Temperature Electrolysis) -- 4.2.3. Steam Reforming -- 4.2.4. Thermochemical Decomposition of Water -- 4.2.5. Carbon, Hydrocarbon and Biomass Conversion -- 4.2.6. Radiolysis of Water -- 4.3. Nuclear Systems for Hydrogen Production -- 4.3.1. Light and Heavy Water Reactors -- 4.3.2. High-Temperature Gas Cooled Reactors -- 4.3.3. Liquid Metal Cooled Reactors -- 4.3.4. Gas-Cooled Fast Reactors -- 4.3.5. Molten Salt Reactors -- 4.3.6. Supercritical-Water Reactors -- 4.3.7. Fusion Reactors -- 4.4. Nuclear Hydrogen Technology -- 4.4.1. Nuclear Hydrogen System Integration -- 4.4.2. System Safety -- 4.4.3. Licensing Considerations -- 4.4.4. Nuclear Hydrogen Plant Economics -- 4.5. Worldwide Nuclear Hydrogen R&D -- 4.5.1. Argentina -- 4.5.2. Canada -- 4.5.3. China -- 4.5.4. European Union -- 4.5.5. France -- 4.5.6. India -- 4.5.7. Japan -- 4.5.8. Republic of Korea -- 4.5.9. Russian Federation -- 4.5.10. South Africa -- 4.5.11. United States of America -- References -- Further Reading -- Chapter Five: Selecting Favorable Energy Storage Technologies for Nuclear Power -- 5.1. Introduction -- 5.2. Descriptions of the Considered Energy Storage Technologies -- 5.2.1. Mechanical Energy Storage -- 5.2.1.1. Pumped Storage Hydropower -- 5.2.1.2. Compressed Air Energy Storage -- 5.2.1.3. Flywheels. 5.2.2. Electrical Energy Storage -- 5.2.2.1. Supercapacitors -- 5.2.2.2. Superconducting Magnetic Energy Storage -- 5.2.3. Electrochemical Energy Storage (Conventional Batteries) -- 5.2.3.1. Lithium-Ion Batteries -- 5.2.3.2. Sodium-Sulfur Batteries -- 5.2.3.3. Lead-Acid Batteries -- 5.2.3.4. Nickel-Cadmium Batteries -- 5.2.4. Electrochemical Energy Storage (Flow Batteries) -- 5.2.4.1. Zinc-Bromine Flow Batteries -- 5.2.4.2. Vanadium Redox Flow Batteries -- 5.2.5. Chemical Energy Storage -- 5.2.5.1. Hydrogen Energy Storage -- 5.2.6. Thermal Energy Storage (Sensible Heat) -- 5.2.6.1. Underground Thermal Energy Storage -- 5.2.6.2. Hot/Cold Water Storage -- 5.2.6.3. Solid Media Storage -- 5.2.7. Thermal Energy Storage (Latent Heat) -- 5.2.7.1. Thermochemicals -- 5.2.7.2. Molten Salts -- 5.2.7.3. Liquid Air -- 5.2.7.4. Phase Change Materials -- 5.3. Comprehensive Comparison of Energy Storage Technologies -- 5.3.1. Technical Maturity -- 5.3.2. Economic Feasibility -- 5.3.3. Environmental Impact -- 5.3.4. Logistical Constraints -- 5.3.5. Regional Policy and Market Conditions -- 5.3.6. Application Compatibility -- 5.3.7. Favorability Analysis -- 5.4. Case Studies -- 5.4.1. Case Study #1: Pumped Storage Hydropower in France -- 5.4.2. Case Study #2: Advanced Nuclear Power Plant in the United States -- 5.5. Closing Summary -- Appendix A: Performance Metrics for the Considered Energy Storage Technologies -- Appendix B: Policy and Market Conditions for Energy Storage Technologies -- Appendix C: Energy Storage Cost Comparisons -- Appendix D: Detailed Selection Methodology -- Acknowledgments -- References -- Chapter Six: Chemical Energy Storage -- 6.1. Introduction -- 6.1.1. Energy Storage Systems and Need -- 6.1.2. Role of Chemical Energy Storage -- 6.2. Lead-Acid and Lead-Carbon Batteries -- 6.2.1. Lead-Acid Batteries -- 6.2.2. Lead-Carbon Batteries. 6.2.3. Electrochemical Performance and Challenges -- 6.3. Sodium-Beta Alumina Membrane Batteries -- 6.3.1. Sodium-Sulfur and Sodium-Metal Halide Batteries -- 6.3.2. Components of Sodium Beta Batteries -- 6.4. Nickel-Cadmium and Nickel-Metal Hydride Battery -- 6.4.1. Nickel-Cadmium Batteries -- 6.4.2. Nickel-Metal Hydride Battery -- 6.5. Lithium-Ion Batteries and Applications -- 6.5.1. Lithium-Ion Batteries -- 6.5.2. Applications of Li-Ion Batteries and Challenges -- 6.6. Redox Flow Batteries (RFB) -- 6.6.1. All Vanadium Redox Flow Batteries -- 6.6.2. Other RFB -- 6.6.2.1. Iron/Chromium Flow Batteries (ICB) -- 6.6.2.2. Polysulfide/Bromine Flow Batteries (PSBs) -- 6.6.2.3. Hybrid Flow Battery (HFB) -- 6.6.2.4. Zinc/Bromine Flow Batteries (ZBB) -- 6.6.3. Challenges and Future R&D Needs for RFBs -- 6.7. Electrochemical Capacitors -- 6.7.1. Basic Principles -- 6.7.2. Electrostatic Double Layer Capacitors -- 6.7.3. Electrochemical Pseudocapacitors -- 6.7.4. Applications of Electrochemical Capacitors -- 6.8. Chemical Energy Storage Systems -- 6.8.1. Hydrogen Energy Storage System -- 6.8.2. Fuel Cell -- 6.8.3. Other Chemical Energy Storage Systems -- 6.8.3.1. Synthetic Natural Gas (SNG) -- 6.8.3.2. Methane -- 6.8.3.3. Methanol, Ethanol, and Higher Alcohols -- 6.8.3.4. Liquid Hydrocarbons -- 6.8.3.5. Ammonia -- Further Reading -- Chapter Seven: Packed Bed Thermal Storage for LWRs -- 7.1. Thermal Storage for LWRs -- 7.1.1. Thermal Storage Options and Integration Concepts -- 7.1.2. Liquid vs. Solid Sensible Heat Storage -- 7.1.3. Limitations of Established Process Solutions -- 7.2. Solid Media for Storing Energy From LW-SMRs -- 7.2.1. History and Background: Sensible Heat Storage in Solids -- 7.2.2. Regenerative Counter-Current Heat Exchangers -- 7.2.3. Catalytic Beds and Reverse-Flow -- 7.3. Thermoclines and Stratification -- 7.3.1. Mixed vs Plug Flow. 7.3.2. Steam Injection in Packed Beds -- 7.3.3. Effective Thermal Diffusivity: Impact on Axial Temperature Front -- 7.3.3.1. Slow Steam Injection -- 7.3.3.2. Fast Steam Injection -- 7.4. State of the Art and Future Work -- Nomenclature -- Acknowledgments -- References -- Chapter Eight: Cryogenic Energy Storage and Its Integration With Nuclear Power Generation for Load Shift -- 8.1. Introduction to Cryogenic Energy Storage -- 8.1.1. Basic Principle and Technology Development History -- 8.1.2. Process Diagram, Performance Evaluation and Application Range -- 8.1.3. Experimental Results of the World First CES Pilot Plant -- 8.1.4. Comparison of CES With Other Major Large Scale Energy Storage Technologies -- 8.2. Integration of CES With NPPs -- 8.2.1. The Drive for Integration of CES With NPPs -- 8.2.2. The Principle and Flow Diagram of the Integration of CES With NPPs -- 8.2.3. The Operation Modes of the Integrated CES-NPP System -- 8.2.3.1. Electrical Energy Storage Mode -- 8.2.3.2. Electrical Energy Release Mode -- 8.2.3.3. Conventional Operation Mode -- 8.2.4. Performance Assessment of the Integrated CES-NPP System -- 8.2.4.1. Performance of the Integrated CES-NPP System -- 8.2.4.2. Performance Enhancement Through Adjusting Operating Conditions -- 8.3. Summary of the Chapter -- References -- Index -- Back Cover. EBL201905 Engineering SzGeCERN EBL Nuclear energy BOOK Revankar, Shripad https://cds.cern.ch/auth.py?r=EBLIB_P_5602984 ebook n 201920 201905 21 PUBLIC https://catalogue.library.cern/legacy/2675394 BOOK MIGRATED 2675388 SzGeCERN 20210421202456.0 9780080438528 electronic version electronic version 9780080438528 print version 9780080553054 electronic version electronic version oai:cds.cern.ch:2675388 cerncds:BOOK EBL 5485609 eng TD898.2 .M555 2000 621.48/38 Miller, William Geological disposal of radioactive wastes and natural analogues Saint Louis, MO Elsevier Science & Technology 2000 329 p ebook Waste management 2 Front Cover -- Geological Disposal of Radioactive Wastes and Natural Analogues -- Copyright Page -- Contents -- Chapter 1. The issue of radioactive waste disposal -- 1.1 The nature of radioactive wastes -- 1.2 The concept of geological disposal -- 1.3 Evaluating repository safety -- 1.4 Natural analogue studies -- 1.5 Other field-based studies of natural systems -- 1.6 Toxic waste disposal -- Chapter 2. Radioactive waste types and repository designs -- 2.1 The nuclear fuel cycle and radioactive wastes -- 2.2 Classification of radioactive wastes -- 2.3 Repository designs -- 2.4 Geological disposal environments -- Chapter 3. Varieties of analogue studies -- 3.1 Chemical analogues -- 3.2 Natural geological and geochemical systems -- 3.3 Archaeological analogues -- 3.4 Sites of anthropogenic contamination -- Chapter 4. Analogues of repository materials -- 4.1 Silicate glass -- 4.2 Spent fuel -- 4.3 Mineral and ceramic wasteforms -- 4.4 Metals -- 4.5 Bentonite -- 4.6 Concretes and cement -- 4.7 Bitumen -- 4.8 Organic materials -- Chapter 5. Analogues of transport and retardation -- 5.1 Elemental solubility and speciation -- 5.2 Elemental retardation processes -- 5.3 Matrix diffusion -- 5.4 Radiolysis -- 5.5 Redox fronts -- 5.7 Microbiological activity -- 5.8 Gas generation and migration -- Chapter 6. The application of analogue information -- 6.1 Natural analogues in the support of performance assessment -- 6.2 Natural analogues in non-technical demonstrations of safety -- 6.3 Natural analogues applied to other environmental issues -- Chapter 7. Summary, conclusions and recommendations -- 7.1 Summary of analogue results -- 7.2 Conclusions -- References -- Index. EBL201905 Engineering SzGeCERN EBL Radioactive waste disposal in the ground BOOK Smellie, J A T McKinley, Ian Alexander, R Chapman, N https://cds.cern.ch/auth.py?r=EBLIB_P_5485609 ebook n 201920 21 PUBLIC https://catalogue.library.cern/legacy/2675388 BOOK MIGRATED 2675373 SzGeCERN 20210421202459.0 9780948577406 electronic version electronic version 9780948577406 print version 9781483102603 electronic version electronic version oai:cds.cern.ch:2675373 cerncds:BOOK EBL 5093509 eng HD9696.A1 .I584 1990 621.381025 Wedgwood, C G International electronics directory '90 the guide to European manufacturers, agents and applications 3rd ed. Saint Louis, MO Elsevier 2013 483 p ebook Front Cover -- International Electronics Directory '90: The Guide to Europ ean Manufacturers, Agents and Applications -- Copyright Page -- Table of Contents -- Section 3: Alphabetical list of companies -- Abbreviations -- Section 4: Classified list of products and services -- Electronics for office administration -- Electronics for the aerospace industry -- Electronics for security and alarm systems -- Electronics for the automobile industry -- Electronics for banking -- Cables and wires -- Electronics for communications -- Computers and ancillary equipment -- Electronics for education -- Consumer electronics -- Components for the electronics industry -- Electronics for environmental monitoring -- General-purpose electronic equipment -- Electronics for the graphic arts industry -- Electronic for industrial applications -- Electronics for scientific research laboratories -- Marine electronics -- Special materials for the electronics industry -- Medical electronics -- Electronics for the metalworking industry -- Electronics for national defence -- Electronics for oceanology -- Electronics for packaging machines -- Production equipment for the electronics industry -- Electronics for supermarkets & shops -- Electronics for textile machines -- Electronics for transport systems -- Miscellaneous dedicated electronic equipment -- Section 5: Alphabetical product index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X -- Y -- Z. EBL201905 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5093509 ebook n 201920 21 PUBLIC https://catalogue.library.cern/legacy/2675373 BOOK MIGRATED 2675371 SzGeCERN 20210421202459.0 9780750616300 electronic version electronic version 9780750616300 print version 9781483105376 electronic version electronic version oai:cds.cern.ch:2675371 cerncds:BOOK EBL 5093507 eng TK7870 .B756 1993 621.381 Brindley, Keith Newnes electronics assembly handbook Saint Louis, MO Elsevier Science & Technology 1993 354 p ebook Front Cover -- Newnes Electronics Assembly Handbook -- Copyright Page -- Table of Contents -- Preface -- Chapter 1. Introduction -- Bringing together varied disciplines -- Applications -- Standardization -- Book layout and description -- Chapter 2. Electronics assembly: the PCB -- The printed circuit board -- Base materials -- Basic mechanical properties -- PCB manufacture -- PCB manufacturing processes -- Design -- Layout -- Through-hole PCB assembly -- Testing -- Cleaning of assemblies -- Conformal coatings -- Total automatic assembly -- Chapter 3. Electronics assembly: the SMA -- Surface mounted assemblies -- Advantages and disadvantages -- Surface mounted components -- Base materials -- Thermal design of surface mounted assemblies -- Design -- Assembly -- Assembly variations -- Testing assemblies -- Component placement -- References -- Chapter 4. Electromechanical assembly: packaging -- Packaging engineering -- Adhesives -- Thermal management -- Environmental considerations -- Electromagnetic compatability -- References -- Chapter 5. Soldering -- Changing face -- Requirements of the soldering process -- Solderability and protective coatings -- Soldering processes -- Solder -- Flux -- Types of joints -- Solder resists -- Hand soldering -- Mass CS soldering - wave soldering -- Mass SC reflow soldering -- Comparison of soldering processes -- Cleaning of PCBs -- References -- Chapter 6. Testing for quality -- The philosophy of quality -- Reliability -- Component parts testing -- Production processes -- The unpackaged assembly -- The packaged assembly -- References -- Chapter 7. Standardization of electronics manufacture: quality assurance -- Standards -- Reference to standards -- Levels of standards -- Standards organizations and bodies -- The work of BSI -- BITS -- BSS -- Assessed capability of companies -- Assessed quality of components. Setting up company standards -- References -- Chapter 8. Selling to the Ministry of Defence -- MoD organization -- Procurement executive -- Procurement executive policy and procedures -- Quality assurance -- Glossary -- Appendix 1. Worldwide standards -- Appendix 2. Worldwide addresses -- Appendix 3. Further reading -- Index. EBL201905 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5093507 ebook n 201920 21 PUBLIC https://catalogue.library.cern/legacy/2675371 BOOK MIGRATED 2675346 SzGeCERN 20210421202503.0 9781782627098 electronic version electronic version 9781782627098 print version 9781782627104 electronic version electronic version oai:cds.cern.ch:2675346 cerncds:BOOK EBL 4470748 eng QD716.P45 -- P46 2016eb 541.395 Dionysiou, Dionysios D Photocatalysis applications Cambridge Royal Society of Chemistry 2016 395 p ebook Energy and environment series Cover -- Photocatalysis Applications -- Preface -- Contents -- Chapter 1 - Photocatalytic Degradation of Organic Contaminants in Water: Process Optimization and Degradation Pathways† -- 1.1 Introduction -- 1.2 Degradation Efficiency-Kinetics of Emerging Contaminants -- 1.2.1 Photocatalytic Degradation of Cyanotoxins -- 1.2.2 Photocatalytic Degradation and Detoxification of Oxytetracycline -- 1.3 Effects of Water Quality Parameters on the Photocatalytic Degradation of Emerging Contaminants -- 1.3.1 Effects of General Water Quality Parameters -- 1.3.2 Effects of Natural Organic Matter (NOM) and Selectivity -- 1.4 Transformation Mechanistic Pathways and Reaction Intermediates -- 1.4.1 Transformation Products of Compounds Resulting from the Reaction of Carbon Bonds -- 1.4.2 Transformation Products of Compounds Resulting from the Reaction of Heteroatoms -- 1.5 Conclusions -- Acknowledgements -- References -- Chapter 2 - Photocatalytic Removal of Metallic and Other Inorganic Pollutants -- 2.1 Introduction -- 2.2 Thermodynamical Considerations and Mechanistic Pathways -- 2.3 Chromium -- 2.4 Mercury -- 2.5 Lead -- 2.6 Uranium -- 2.7 Arsenic -- 2.8 Nitrate -- 2.9 Conclusions -- References -- Chapter 3 - Solar Photocatalytic Disinfection of Water -- 3.1 Solar Disinfection of Water -- 3.1.1 Solar Spectrum and SODIS Method -- 3.1.2 Oxidative Stress Caused by UV Radiation -- 3.2 Solar Photocatalytic Disinfection of Water -- 3.2.1 Mechanisms of TiO2 Photocatalytic Disinfection -- 3.2.2 Microbiological Aspects of Photocatalytic Disinfection -- 3.2.3 Inactivation of Antibiotic-Resistant Bacteria -- 3.3 Novel Photocatalytic Materials for Visible Light Activity -- 3.3.1 Doped Materials -- 3.3.2 Other New Materials -- 3.4 Solar Photocatalytic Reactors for Water Disinfection -- 3.5 Conclusions -- References. Chapter 4 - Solar Photocatalysis: Fundamentals, Reactors and Applications -- 4.1 Solar Light -- 4.1.1 Extraterrestrial Irradiance and Spectrum -- 4.1.2 Solar Vector -- 4.1.3 Irradiance at the Earth Surface -- 4.2 Solar Photocatalytic Reactors -- 4.2.1 Types of Reactors -- 4.2.2 Design of Solar Photocatalytic Reactors -- 4.2.3 Solar Reactors for Water Disinfection -- 4.2.3.1 Illuminated Photo-Reactor Volume -- 4.2.3.2 Photocatalyst Configuration -- 4.2.3.3 Flow Rate, Water Temperature, and Dissolved Oxygen -- 4.3 Photocatalytic Materials for Solar Applications -- 4.3.1 Titanium Dioxide -- 4.3.2 TiO2 Modification for Solar Applications -- 4.3.2.1 Doping of TiO2 -- 4.3.2.2 Semiconductor Coupling -- 4.3.2.3 Dye Sensitization -- 4.3.3 Mode of Utilisation -- 4.4 Applications of Solar Photocatalysis -- 4.4.1 Non-Concentrating Solar Reactors Applications -- 4.4.2 CPC Solar Reactors Applications -- 4.5 Integration with Other Unit Operations -- Acknowledgements -- References -- Chapter 5 - Combined Photocatalysis-Separation Processes for Water Treatment Using Hybrid Photocatalytic Membrane Reactors -- 5.1 Introduction -- 5.2 TiO2 and Application for Water Treatment -- 5.3 Separation Process with Ceramic Membrane -- 5.4 Fabrication of TiO2-Coated Ceramic Membrane -- 5.5 Performance of Photocatalytic Ceramic Membrane -- 5.6 Future Outlook and Challenges -- References -- Chapter 6 - Process Integration. Concepts of Integration and Coupling of Photocatalysis with Other Processes -- 6.1 Introduction -- 6.2 Treatment of Biorecalcitrant Wastewater by Integrating Solar Photocatalysis and Other Processes -- 6.3 Partially Biorecalcitrant Wastewater Treatment by Integrating Solar Photocatalysis and Other Processes -- 6.4 Removal of Micropollutants in Water and Wastewater by Integrating Solar Photocatalysis and Membrane Nanofiltration. 6.5 Conclusions and Recommendations -- Acknowledgements -- References -- Chapter 7 - Photocatalytic Purification and Disinfection of Air -- 7.1 Introduction -- 7.2 Photocatalytic Reactions for Air Purification -- 7.3 Photocatalysts and Their Supports for Air Purification -- 7.4 Kinetics of Photocatalytic Oxidation -- 7.5 Photocatalytic Destruction of Microbiological Objects -- 7.6 Reactors for Photocatalytic Air Treatment -- 7.7 Combined Methods of Air Purification -- 7.8 Conclusions -- List of Abbreviations and Designations -- Acknowledgements -- References -- Chapter 8 - Self-Cleaning Photocatalytic Activity: Materials and Applications -- 8.1 Introduction to Self-Cleaning Materials -- 8.2 Mechanism of Self-Cleaning Activity -- 8.2.1 Light-Induced Hydroxylation of the Surface -- 8.2.2 Photo-Oxidation of Adsorbed Hydrocarbons on the Surface -- 8.3 Photocatalytic Materials -- 8.3.1 Titanium Dioxide -- 8.3.2 Rapid Testing of Self-Cleaning Photocatalytic Activity -- 8.3.3 Photocatalytic Antibacterial Activity -- 8.4 Semiconductor Doping and TiO2/SiO2 Composites -- 8.4.1 Self-Cleaning Activity -- 8.4.2 Antireflective Properties -- 8.4.3 Metal Doped Coatings -- 8.5 Semiconductor Hybrids and Future Materials -- 8.5.1 Carbon Nanotube Hybrids of TiO2 or ZnO -- 8.5.2 Graphene Hybrids of Metal Oxides -- 8.5.3 Graphene/TiO2 Nanohybrids -- 8.5.4 ZnO/Graphene Nanohybrids -- 8.5.5 TiO2/β Cyclodextrin Encapsulated Fullerene (C60) Composites -- 8.5.6 Conducting Polyaniline/Metal Oxide or Graphene Oxide Hybrids -- 8.6 Self-Cleaning and Superhydrophilic Coating on Polymer Substrates -- 8.7 Commercial Materials -- Acknowledgements -- References -- Chapter 9 - Photocatalysis and Photoelectrocatalysis for Energy Generation Using PhotoFuelCells -- 9.1 Introduction -- 9.2 Basic Features of PhotoFuelCell Operation -- 9.3 PhotoFuelCell Configurations and Related Applications. 9.4 Selected Results and Discussion -- 9.4.1 PFC Used for Electricity Production Employing Ethanol as Organic Fuel -- 9.4.2 PFC Used Exclusively for Hydrogen Production Employing Ethanol as Organic Fuel -- 9.5 Experimental Section: Construction of Electrodes and Devices -- 9.5.1 Materials -- 9.5.2 Preparation of TiO2 Films and Deposition of CdS by the SILAR Method -- 9.5.3 Construction of the Counter Electrode -- 9.5.4 Device (Reactor) Construction -- 9.5.5 Measurements -- Acknowledgements -- References -- Chapter 10 - Photocatalytic Hydrogen Generation -- 10.1 Introduction -- 10.2 Fundamentals of Photocatalytic Hydrogen Generation -- 10.2.1 Thermodynamics of Photocatalytic Hydrogen Generation -- 10.2.2 Materials and Systems for Photocatalytic Hydrogen Production -- 10.2.2.1 Materials for Photocatalytic Hydrogen Production -- 10.2.2.2 Systems for Photocatalytic Hydrogen Production -- 10.2.3 Mechanisms and Processes of Photocatalytic Hydrogen Production -- 10.3 Promoted Charge Separation and Transport -- 10.3.1 Improvement of the Crystallinity -- 10.3.2 Rational Design of Nanostructures -- 10.3.3 Application of Carbon-Based Nanomaterials -- 10.3.4 Manipulation of Internal Electric Fields -- 10.4 Accelerated H2-Evolution Kinetics -- 10.4.1 Increasing the Active Surface Areas -- 10.4.2 Loading of H2-Evolution Co-Catalysts -- 10.4.3 Elevation of Conduction Band Positions -- 10.5 Increased Stability of Photocatalyst -- 10.5.1 Addition of Sacrificial Reagents -- 10.5.2 Introduction of a Protective Layer -- 10.5.3 Utilization of Water Oxidation Co-Catalysts -- 10.6 Conclusions, Perspectives and Remarks -- Acknowledgements -- References -- Chapter 11 - New Synthetic Routes in Heterogeneous Photocatalysis -- 11.1 Introduction -- 11.2 Reactions -- 11.2.1 Oxidations -- 11.2.1.1 Oxidation of Alcohols to Aldehydes -- 11.2.1.2 Hydroxylation of Aromatics. 11.2.1.3 Alkenes Epoxidation -- 11.2.1.4 Propene Hydration -- 11.2.2 Reductions -- 11.2.2.1 Carbonyl Reduction -- 11.2.2.2 C=C Double Bonds Reduction -- 11.2.2.3 Reduction of N-Containing Functions -- 11.2.3 Alkylations -- 11.2.3.1 Conjugate Addition Reactions -- 11.2.3.2 Cross-Coupling Reactions -- 11.2.3.3 Aromatic Substitution Reactions -- 11.2.3.4 Carbonyl α-Alkylation Reactions -- 11.2.3.5 Amine α-Alkylation Reactions via Iminium Cation -- 11.3 Influence of Catalyst Properties on Selectivity -- 11.4 Green Organic Solvents in Photocatalysis -- 11.5 Conclusion -- References -- Chapter 12 - An Overview of the Potential Applications of TiO2 Photocatalysis for Food Packaging, Medical Implants, and Chemical Compound Delivery -- 12.1 Introduction -- 12.2 Potential Advantages of TiO2 Photocatalysis for Food Packaging -- 12.2.1 Generalities -- 12.2.2 Effect of TiO2 on the Package Physical Properties -- 12.2.3 Effect of TiO2 on the Package Antibacterial Properties -- 12.2.4 Effect of TiO2 on the Concentrations of C2H4 and O2 in Packages -- 12.2.5 Potential Barriers to the Use of TiO2 in Packages -- 12.3 Roles of TiO2 and TiO2 Photocatalysis in Medical Implants -- 12.3.1 Role of Non-UV-Irradiated TiO2 -- 12.3.2 Roles of UV-Irradiated TiO2 -- 12.4 Potential Use of TiO2 Photocatalysis for Chemical Compound Delivery -- 12.4.1 Generalities -- 12.4.2 Use of TiO2 Nanotubes Containing the Chemical to be Delivered -- 12.4.3 Use of TiO2 Photocatalysis to Deliver Chemicals Contained in Microcapsules -- 12.4.4 Issues About the Use of TiO2 Photocatalysis for Delivery of Chemicals -- 12.5 Conclusions -- 12.5.1 Food Packaging -- 12.5.2 Medical Implants -- 12.5.3 Chemical Compound Delivery -- 12.5.4 Comparisons About the Viability of These Three Applications -- References -- Subject Index. From environmental remediation to alternative fuels, this book explores the numerous important applications of photocatalysis for researchers. EBL201905 Chemical Physics and Chemistry SzGeCERN BOOK Li Puma, Gianluca Ye, Jinhua Schneider, Jenny Bahnemann, Detlef Peter, Laurie Antoniou, Maria Litter, Marta Fernandez-Ibanez, Pilar Marugan, Javier https://cds.cern.ch/auth.py?r=EBLIB_P_4470748 ebook n 201920 201905 21 PUBLIC https://catalogue.library.cern/legacy/2675346 BOOK MIGRATED 2675345 SzGeCERN 20210421202503.0 9781782620419 electronic version electronic version 9781782620419 print version 9781782622338 electronic version electronic version oai:cds.cern.ch:2675345 cerncds:BOOK EBL 4470738 eng QD716.P45 541.395 Schneider, Jenny Photocatalysis fundamentals and perspectives Cambridge Royal Society of Chemistry 2016 453 p ebook Energy and environment series Cover -- Photocatalysis Fundamentals and Perspectives -- Preface -- Contents -- Part 1 - Fundamental Aspects of Photocatalysis -- Chapter 1 - Photoelectrochemistry: From Basic Principles to Photocatalysis -- 1.1 Introduction -- 1.2 A Brief Summary of Semiconductor Physics -- 1.3 Conventional Semiconductor Photoelectrodes -- 1.3.1 Potential and Charge Distribution Across the Semiconductor-Inert Electrolyte Junction -- 1.3.2 The Semiconductor-Redox Electrolyte Junction -- 1.3.3 The Semiconductor-Electrolyte Junction Under Illumination -- 1.3.4 Quasi-Fermi Levels (QFLs) -- 1.4 Nanostructured Semiconductor Electrodes and Colloidal Particles in the Dark -- 1.4.1 Band Bending in Nanostructures -- 1.4.2 Determination of Quasi-Fermi Level Positions in Nanoparticle Suspensions -- 1.5 Surface States and Fermi Level Pinning -- 1.6 Surface Recombination -- 1.7 Charge Compensation and Charge Trapping in Mesoporous Electrodes -- 1.8 Conclusions -- References -- Chapter 2 - Understanding the Chemistry of Photocatalytic Processes -- 2.1 Thermodynamic Constraints for Photocatalytic Processes -- 2.2 Single and Multiple Electron Transfer Reactions -- 2.3 Role of the Substrate Structure in the Photocatalytic Process -- 2.4 Importance of the Reduction Pathway in Photocatalytic Oxidation Reactions -- 2.5 Importance of the Oxidation Pathway in Photocatalytic Reduction Reactions -- 2.6 Conclusions -- References -- Chapter 3 - Current Issues Concerning the Mechanism of Pristine TiO2 Photocatalysis and the Effects on Photonic Crystal Nanostructures -- 3.1 Photocatalysis and Sustainability -- 3.2 The Basic Principle of TiO2 Photocatalysis -- 3.3 Current Mechanisms -- 3.3.1 Antenna Mechanism -- 3.3.2 Deaggregation of Particle Agglomerates -- 3.3.3 Band-Gap Coupling: Z-Scheme and Heterojunctions -- 3.3.4 Wettability -- 3.3.4.1 Creation of OH Surface Groups. 3.3.4.2 Impurities Removal -- 3.3.4.3 Adsorbed and Desorbed Water -- 3.3.4.4 Some Remarks About Wettability -- 3.3.5 Photo-Thermal Desorption of Water -- 3.4 TiO2 Photonic Crystal Nanostructures -- 3.5 Concluding Remarks -- References -- Chapter 4 - Specificity in Photocatalysis -- 4.1 Introduction -- 4.2 Mass Transport to the Photocatalyst and Adsorption -- 4.2.1 Complexation in the Fluid Phase -- 4.2.2 Surface Charge Effects -- 4.2.3 Overcoating the Photocatalyst -- 4.2.4 Adsorb & Shuttle -- 4.2.5 Doping -- 4.2.6 Selection by Size -- 4.2.7 Molecular Imprinting -- 4.3 The Redox Reaction -- 4.3.1 Recombination Versus Interfacial Electron Transfer -- 4.3.2 Doping as a Means to Control Oxidation Versus Reduction -- 4.3.3 Shifting the Location of Energy Bands -- 4.3.4 Co-Existing Compounds as a Means to Alter Specificity -- 4.3.5 Utilizing Specific Adsorbate-Adsorbent Interactions -- 4.3.6 Surface Derivatization -- 4.3.7 Sensitization as a Means to Induce Specificity -- 4.4 Desorption of Products -- 4.4.1 Preferential Desorption from Imprinted Photocatalysts -- 4.4.2 Effect of Solvents on the Desorption of Intermediate Products -- 4.4.3 Surface Derivatization for Controlling the Distribution of Products -- 4.5 Summary and Perspectives -- References -- Chapter 5 - Photoexcitation in Pure and Modified Semiconductor Photocatalysts -- 5.1 Band-Gap Excitation of Semiconductor Photocatalysts -- 5.2 Photoexcitation of Impurity-Doped Semiconductors -- 5.3 Photoexcitation of Coupled Semiconductors -- 5.4 Dye-Sensitized Semiconductors and Dye Discoloration -- 5.5 LMCT-Sensitized Semiconductors -- 5.6 Photoexcitation at Metal/Semiconductor Interfaces -- 5.7 Conclusions -- Acknowledgements -- References -- Chapter 6 - New Concepts in Photocatalysis -- 6.1 Introduction -- 6.2 Graphene -- 6.3 Carbon Nitride -- 6.4 Z-Scheme Photocatalytic Systems. 6.4.1 Z-Scheme Systems with Redox Mediator -- 6.4.2 Z-Scheme Systems Without Redox Mediator -- 6.5 Plasmonic Photocatalysis -- 6.6 New Applications of Photocatalysis -- 6.7 Perspectives -- References -- Part 2 - Primary Processes in Photocatalysis -- Chapter 7 - Kinetic Processes in the Presence of Photogenerated Charge Carriers -- 7.1 Outline of the Processes in Photocatalysis -- 7.1.1 Environmental Clean-up or Solar Hydrogen Production -- 7.1.2 Energy Levels of TiO2 and Water -- 7.1.3 Adsorption of Water Molecules -- 7.2 Primary Processes of Photogenerated Charge Carriers -- 7.2.1 Trapping of Free Charge Carriers -- 7.2.2 Trapped Electrons and Reduction of O2 -- 7.2.3 Trapped Holes and Oxidation of Alcohols -- 7.3 Kinetic Processes at Pure TiO2 Photocatalysts -- 7.3.1 O2 Production at Rutile Surfaces -- 7.3.2 OH Radical Formation over Rutile and Anatase Photocatalysts -- 7.3.3 Kinetics of Methanol Oxidation -- 7.4 Modified TiO2 Photocatalysts for Visible Light Response -- 7.4.1 Copper(ii) deposited TiO2 and WO3 -- 7.4.2 Iron(iii)-deposited Ru-doped TiO2 -- 7.4.3 Platinum Complex Sensitized TiO2 -- 7.4.4 Gold-Nanoparticle Deposited TiO2 -- References -- Chapter 8 - Traps and Interfaces in Photocatalysis: Model Studies on TiO2 Particle Systems -- 8.1 Introduction -- 8.2 The Solid-Gas Interface: Trapping Sites and Spectroscopic Manifestations -- 8.2.1 Trapped Electrons -- 8.2.2 Trapped Holes -- 8.2.3 Trapped Hydrogen -- 8.2.4 Trapped Charges and Optical Fingerprints -- 8.3 Slow Charge Trapping and Charge Carrier Quantification at the Solid-Gas Interface -- 8.4 From Solid (Particle)-Gas to Solid (Particle)-Liquid Interfaces: Changes on Different Size Scales -- 8.5 Microstructural Changes of Particle Ensembles and Solid-Solid Interface Formation -- 8.6 Charge Separation and Trapping at the Solid-Liquid Interface - Slow Processes. 8.7 Summary and Outlook -- Acknowledgements -- References -- Chapter 9 - Interplay Between Physical and Chemical Events in Photoprocesses in Heterogeneous Systems -- 9.1 Introduction -- 9.2 Physical and Chemical Relaxation through Surface-Active Centers -- 9.3 Photoinduced Defect Formation -- 9.4 Interconnection Between the Activity and Selectivity of Photocatalysts -- 9.4.1 Activity of Photocatalysts -- 9.4.2 Selectivity of Photocatalysts -- 9.5 Concluding Remarks -- Acknowledgements -- References -- Part 3 - New Materials -- Chapter 10 - New Materials: Outline -- References -- Chapter 11 - New Materials for Degradation of Organics -- 11.1 Basic Characterizations by which to Judge a New Material as Photocatalyst -- 11.1.1 Dark and Light Experiments -- 11.1.2 Wavelength-Dependence Test -- 11.1.3 Evidence for Catalytic Process -- 11.2 Typical New Materials for Photodegradation of Organics -- 11.2.1 New-Generation TiO2-Based Materials -- 11.2.2 Photocatalysts Comprising d-Block Elements -- 11.2.2.1 Photocatalysts with d0-Block Elements -- 11.2.2.1.1 Ti-Based Materials. -- 11.2.2.1.2 V, Nb, Ta-Containing Materials. -- 11.2.2.1.3 Mo, W-Containing Materials. -- 11.2.2.2 Photocatalysts with d10-Block Elements -- 11.2.2.2.1 Cu-Containing Materials. -- 11.2.2.2.2 Ag-Based Materials. -- 11.2.2.2.3 Zn, Cd-Containing Materials. -- 11.2.3 Photocatalysts Containing p-Block Elements -- 11.2.3.1 Sn, Pb-Included Materials -- 11.2.3.2 Bi-Based Materials -- 11.2.4 Organic Photocatalysts -- 11.2.4.1 C3N4-Based Materials -- 11.2.4.2 Metal-Organic Framework (MOF) Materials -- 11.2.4.3 Other Materials -- 11.2.5 Composite and Heterojunction Photocatalysts -- 11.2.5.1 Photosensitizer@Active Material Composites or Heterojunctions -- 11.2.5.2 Band-Structure Matched p-n or n-n Heterojunctions -- 11.2.5.3 Conductive Material@Semiconductor Composites or Heterojunctions. 11.3 Photodegradation Mechanism -- 11.3.1 Intrinsic Semiconductor-Based Photocatalysis or Dye-Sensitized Photocatalysis -- 11.3.2 Reactive Species Analysis -- 11.4 Summary and Prospects -- References -- Chapter 12 - New Materials for Water Splitting -- 12.1 Introduction -- 12.1.1 Research Background -- 12.1.2 Basic Principles of Water Splitting on a Semiconductor Particle -- 12.1.3 Development of Visible-Light-Responsive Photocatalysts for Overall Water Splitting -- 12.1.4 Scope of This Chapter -- 12.2 Modified Oxynitrides for Efficient Water Splitting -- 12.2.1 Surface Modified Tantalum Oxynitrides with Zr(iv) Species for Enhanced Hydrogen Evolution -- 12.2.2 Oxynitrides Modified with Cobalt Oxide for Highly Efficient Water Oxidation -- 12.3 Metal Oxide Based Photocatalysts for Overall Water Splitting -- 12.3.1 Doped SrTiO3 -- 12.3.2 Dye-Sensitized Lamellar Niobate for Z-Scheme Water Splitting -- 12.4 Summary and Outlook -- References -- Chapter 13 - New Materials for CO2 Photoreduction -- 13.1 Introduction -- 13.2 Basic Principles of Photocatalytic Reduction of CO2 -- 13.3 Materials for CO2 Photoreduction -- 13.3.1 Metal Oxides with d0 and d10 Electronic Configurations -- 13.3.2 Metal Sulfides and Phosphides -- 13.3.3 Other Materials -- 13.4 Strategies for Designing Effective Photocatalytic Materials -- 13.4.1 Surface Sites for Reactant Adsorption and Chemical Reaction -- 13.4.1.1 Porous Structure with Large Surface Area -- 13.4.1.2 Optimized Surface Reactivity via Facet Engineering -- 13.4.1.3 Surface Modification -- 13.4.1.4 Surface Oxygen Vacancy -- 13.4.2 Light Harvesting for Effectively Utilizing Solar Energy -- 13.4.2.1 Ion Doping -- 13.4.2.2 Solid Solutions -- 13.4.2.3 Sensitization -- 13.4.3 Charge Separation for Effectively Utilizing Solar Energy -- 13.4.3.1 Loading Co-Catalysts -- 13.4.3.2 One-Dimensional Nanostructures. 13.4.3.3 Heterojunction Construction. Combining basic concepts with the synthesis of new catalysts, reactor and reaction engineering, this book is a comprehensive resource for researchers. EBL201905 Chemical Physics and Chemistry SzGeCERN BOOK Bahnemann, Detlef Ye, Jinhua Li Puma, Gianluca Dionysiou, Dionysios D Peter, Laurie Hakki, Amer Mendive, Cecilia Paz, Yaron https://cds.cern.ch/auth.py?r=EBLIB_P_4470738 ebook n 201920 201905 21 PUBLIC https://catalogue.library.cern/legacy/2675345 BOOK MIGRATED 2674048 20250515231945.0 oai:cds.cern.ch:2674048 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN CERN-THESIS-2019-039 eng AUTHOR|(INSPIRE)INSPIRE-00549793 AUTHOR|(SzGeCERN)756498 AUTHOR|(CDS)2090895 Gkountoumis, Panagiotis panagiotis.gkountoumis@cern.ch Natl. Tech. U., Athens Design and development of the Level-1 Data Driver Card (L1DDC) for the New Small Wheel upgrade of the ATLAS experiment at CERN 194 p Presented 08 Apr 2019 PhD Natl. Tech. U., Athens 2019-05-10 ATLAS is one of the four main experiments located in the Large Hardon Collider at CERN. During Long Shutdown 2 (2019-2020) the innermost muon stations of ATLAS called the Small Wheels will be replaced by the New Small Wheel upgrade project. This upgrade is motivated by the high particle flux (up to 15 kHz/cm2), the high radiation during Run-3 (2021-2023) and ultimate luminosity of 7.5 × 10^(34) cm^(-2) s^-1 expected in High-Luminosity Large Hadron Collider (after 2026). The number of interactions per bunch-crossing (every 25 ns) will be increased upto 140, resulting in a dramatically large amount of produced data. The New Small Wheel is a set of precision tracking and trigger detectors able to work at high rates with excellent real-time spatial and time resolution. The new detectors consist of the resistive Micromegas and the small-strip Thin Gap Chambers. Furthermore, a radiation dose up to 1700 Gy (innermost radius) and a magnetic field up to 0.4 T in the end cap region, create a hostile environment for the front-end electronics. To read out the large number of electronic channels (~2.1 million for the Micromegas and ∼332 thousand for the sTGC) and in order to survive in such a harsh envi- ronment new electronics must be fabricated and installed. In addition, correction mechanisms for Single Event Upsets (this is a change of state caused by a high-energy particle strike to a micro-electronic device) must be implemented to assure the integrity of the transmitted data. The whole readout and trigger architecture of the NSW was redesigned including the fabrication of new electronic boards and Application Specific Integrated Circuits compatible even with the Run-4 data rates. The aim of this dissertation was the research and development of the Level-1 Data Driver Card which is part of the data acquisition system for both detector technologies and consists of radiation tolerant components. The development of the cards included a series of prototypes and their extensive testing independently, and as part of the final system as well. A major and extensive study to make these cards compatible even with the future (and demanding) upgrades of the experiment was performed. Up to now, eight different versions of these cards have been manufactured and tested. The latest prototypes, after their debugging, are the reference cards for mass production of 1056 Level-1 Data Driver Cards. Additionally for the needs of the experiment and for a more complete control and testing of the cards and the final system, a series of Front-Ends, a Low Voltage distributor and a series of auxiliary cards were designed and fabricated. Furthermore for the testing procedure of the boards different pieces of firmware were de- veloped using the Very High Speed Integrated Circuit Hardware Description Language. This development includes communication of the control system with the Level-1 Data Driver Card through optical link, the programming of the Application Specific Integrated Circuits on the Level-1 Data Driver Card card, the acquisition of environmental variables (voltage levels and temperatures) and their evaluation by a personal computer through the Ethernet interface and UDP/IP protocols. In order to validate the final system, a low-level code was also developed, tested and debugged to configure the Venetis MicroMegas Application Specific Integrated Cir- cuit (on the Front-Ends) to collect data from the detectors and transfer them via the UDP/IP protocol to a computer for storage and subsequent evaluation. CERN EDS SzGeCERN Detectors and Experimental Techniques CERN THESIS CERN LHC ATLAS Alexopoulos, Theodoros dir. Natl. Tech. U., Athens EP 1479927 122265515 http://cds.cern.ch/record/2674048/files/CERN-THESIS-2019-039.pdf Fulltext 1479927 70676445 http://cds.cern.ch/record/2674048/files/CERN-THESIS-2019-039.pdf?subformat=pdfa pdfa panagiotis.gkountoumis@cern.ch n 201919 a2019 14 PUBLIC https://repository.cern/legacy/record/2674048 THESIS MIGRATED 2673437 SzGeCERN 20210421202523.0 9783030020583 print version 9783030020590 electronic version electronic version 9783030020606 print version DOI 10.1007/978-3-030-02059-0 ebook oai:cds.cern.ch:2673437 cerncds:BOOK eng QB495-500.269 23 520 23 500.5 The human factor in a mission to Mars an interdisciplinary approach Cham Springer 2019 ebook Space and society 2199-3882 Martian Environmental Psychology: The Choice Architecture of a Mars Mission and Colony -- One Mars: The Ethics of Settlement in a Unique Place -- Can Deep Altruism Sustain Space Settlement? -- Interplanetary Sustainability: Mars as a Means of a Long-term Sustainable Development of Humankind in the Solar System -- Mars, the Next Frontier? A Public Ethical Interrogation -- Ethics on an Uninhabited Planet -- Mars and Beyond: The Feasibility of Living in the Solar System -- Program Services Planning for a Mars Hardship Post; Reflections on the Need for Social, Psychological, and Spiritual Services -- Identifying and Monitoring the Complex System-of-Systems that Constitutes Human Habitation of Mars -- Envisioning the Martian Colonies -- Religion for a Spatial Colony: Posing the Right Questions -- Human Place in Outer Space: Should We and Can We Build a Human Colony on Mars? Skeptical Remarks -- Mars and the New Colonies: A Declaration of Independence? Interplanetary Fiduciary Relationships and a self-sustaining Off-Planet Economy -- Science and Ethics in the Exploration of Mars. A manned mission to Mars is faced with challenges and topics that may not be obvious but of great importance and challenging for such a mission. This is the first book that collects contributions from scholars in various fields, from astronomy and medicine, to theology and philosophy, addressing such topics. The discussion goes beyond medical and technological challenges of such a deep-space mission. The focus is on human nature, human emotions and biases in such a new environment. The primary audience for this book are all researchers interested in the human factor in a space mission including philosophers, social scientists, astronomers, and others. This volume will also be of high interest for a much wider audience like the non-academic world, or for students. Physics and astronomy SPR201905 SzGeCERN Astrophysics and Astronomy SPR Astronautics SPR Research-Moral and ethical aspec SPR Technology—Sociological aspects SPR Aerospace Technology and Astronautics SPR Research Ethics SPR Science and Technology Studies BOOK Szocik, Konrad ed. 201905 SPR n 201918 21 PUBLIC https://catalogue.library.cern/legacy/2673437 BOOK MIGRATED 2680020 SzGeCERN 20191219215658.0 9781440859649 print version 9781440859656 electronic version electronic version oai:cds.cern.ch:2680020 cerncds:BOOK EBL 5762942 eng Z687 .S276 2019 025.21 Saponaro, Margaret Zarnosky Collection management basics 7th ed. Santa Barbara, CA ABC-CLIO 2019 392 p Cover page -- Halftitle page -- Title page -- Copyright page -- Epigraph -- Contents -- Illustrations -- Preface -- 1 Introduction -- What Is Collection Management? -- Access to Information -- Access and Value -- Access Philosophy and Staff -- Access and Literacy -- Blended Collections -- Access and Collaboration -- New Approaches -- Points to Keep in Mind -- References -- 2 Intellectual Freedom and Ethics -- Libraries, the First Amendment, and Intellectual Freedom -- Ethics, Personal Beliefs, Biases, and Collection Management -- Self-Censorship -- Being Challenged -- Access-Filtering -- Bibliotherapy-Readers' Advisory Activities -- Points to Keep in Mind -- References -- 3 Collection Management -- Components of Collection Management -- Collection Management and Library Types -- Institutional Libraries -- Public Libraries -- School Libraries -- Special Libraries -- Standards and Guidelines -- Emerging Trends in Collection Management -- Floating Collections -- Taking on Collection Management Responsibilities -- Points to Keep in Mind -- References -- 4 Collection Management Policies -- What Is a Collection Management Policy? -- Creating a Policy -- Stages of the Policy Development Process -- What to Include -- Details of a Basic Policy -- Subject Areas Collected -- Selection Responsibility -- How to Select -- Gifts and Deselection (Weeding) -- Deselection/Discards -- Collection Assessment/Evaluation -- Complaints -- Electronic Resources -- Getting the Policy Approved -- Points to Keep in Mind -- References -- 5 Assessing User Needs -- Concepts and Terms -- Why Spend the Time and Effort on Service Community Studies? -- Practical Aspects -- Common Types of Data Collected -- Data Collecting and Analysis Techniques -- Key Informants-Gatekeepers -- Focus Groups and Community Forums -- Social Indicators -- Field Surveys -- Examples by Type of Library. Academic Libraries -- Public Libraries -- School Library Media Centers -- Special Libraries/Information Centers -- Data Visualization -- Points to Keep in Mind -- References -- 6 Selecting Materials -- Engaging in Selection Activities -- Institutional Setting and User Interests -- Resources to Consult -- What Is in the Collection/What Is Lacking -- Language -- Quality -- Reviews -- Other Quality Factors -- Cost Issues -- Variations in Selection by Library Type -- Academic Libraries-Community Colleges -- College Libraries -- University Libraries -- Public Libraries -- School Library Media Centers -- Special Libraries -- Quality or Demand -- Points to Keep in Mind -- References -- 7 Collection Management and Technical Services -- Technical Services Functions -- Cataloging and Metadata Services -- Metadata -- Acquisitions -- Serials Control -- Physical Processing -- Bindery/Repair -- Shipping and Receiving -- Technical Services Workflow -- Collection Management and Technical Services -- Points to Keep in Mind -- References -- 8 Acquisitions -- Acquiring Materials -- Acquisition Methods -- Firm Orders -- Standing Orders -- Approval Plans -- Blanket Orders -- Subscriptions -- Leases -- Gifts -- Exchanges -- What the Firm Stocks -- Vendor Technological Capabilities -- Speed of Delivery -- Financial Considerations -- Additional Vendors' Services -- Customer Service Considerations -- Vendor Evaluation -- Retail Outlets -- Out-of-Printand Antiquarian Dealers -- Fiscal Management -- Estimating Costs -- Allocating the Budget -- Financial Records -- Encumbering -- Stewardship -- Audits -- Points to Keep in Mind -- References -- 9 Assessing Collections and the Library -- Collection Assessment Methodologies -- Collection-Centered Methods -- List Checking -- Expert Opinion (Impressionistic Assessment) -- Comparisons -- Using Standards as an Assessment Method. Use-Centered Methods -- Circulation Studies -- Customer Perceptions -- Use of ILL Statistics -- Bibliometric Studies -- Deselection-Weeding -- Public Libraries -- School Library Media Centers -- Special Libraries -- Academic Libraries -- Barriers to Deselection -- Deselection Criteria -- Storage -- Points to Keep in Mind -- References -- 10 Cooperation, Collaboration, and Consortia Issues -- Background -- Sharing Collection Items -- Shared Collection Building -- Sharing Collection Storage -- Reasons for Engaging in Joint Ventures -- Collaboration on the Personal Level -- Making Collaborative Projects Work -- Group Decision Making -- Points to Keep in Mind -- References -- 11 Print and Media -- Producers of Library Collection Resources -- Types of Producers -- Media Formats -- Media Issues -- Audio Formats -- Video -- Other Material Formats -- Maps and Globes -- Games, Toys, and Puzzles -- Graphic Novels -- Prints and Photographs -- Format Selection Considerations -- Points to Keep in Mind -- References -- 12 Serials -- What Is a Serial? -- Government Information -- Serial Producers -- Selection Models -- Identifying Serials -- E-Serials -- Do E-SerialsSave Libraries Money? -- Managing Serials -- Cancelling Serials and Other E-Resources -- Usage Data -- Serial Management Tools -- Points to Keep in Mind -- References -- 13 E-Resources and Technology Issues -- Differences Between Traditional and E-Resources -- Selection Issues -- Content -- Limitations -- Cost -- People Issues -- Technical Issues -- Assessment Options -- Cancellation or Loss of Service -- E-Formats -- eBooks -- eReaders -- Google Books Project -- Alternatives to Google Books -- Online Music/Audio -- Video -- Web Resources -- Institutional Repositories -- Open Access -- Data Sets -- Points to Keep in Mind -- References -- 14 Preservation Issues -- Libraries and Cultural Patrimony. Preserving the Investment in the Collection -- Proper Handling -- Environmental Control -- Security -- Disaster Preparedness -- Digital Preservation -- Conservation -- Points to Keep in Mind -- References -- 15 Legal Issues and Collection Management -- Copyright Laws and Libraries -- Fair Use and Copying -- Digital Millennium Copyright Act (DMCA) -- Enforcement -- Digital Rights Management (DRM) -- Gifts and the IRS -- Americans with Disabilities Act and Collection Management -- Privacy -- Points to Keep in Mind -- References -- Index. Evans, G Edward https://cds.cern.ch/auth.py?r=EBLIB_P_5762942 ebook ebook EBL Collection management (Libraries) EBL201906 Information Transfer and Management SzGeCERN BOOK n 201925 201906 21 PUBLIC BOOK DELETED 2679989 SzGeCERN 20210421202322.0 9781785613760 print version 9781785613777 electronic version electronic version oai:cds.cern.ch:2679989 cerncds:BOOK EBL 5760535 eng TA1520 .P468 2019 621.36 Bogoni, Antonella Photonics for radar networks and electronic warfare systems Stevenage Institution of Engineering & Technology 2019 249 p ebook Electromagnetics and radar Intro -- Contents -- About the authors -- Preface -- 1. Issues on current radar systems / Fabrizio Berizzi, Amerigo Capria, Elisa Giusti and Anna Lisa Saverino -- Acronyms -- 1.1 Chapter organization and key points -- 1.2 Introduction to radar systems -- 1.2.1 Radar design -- 1.2.2 Radar system architecture -- 1.3 Radar functionalities and applications -- 1.3.1 Definition of radar functionalities -- 1.3.2 Radar classes and functionality -- 1.3.3 Radar applications -- 1.3.4 Radar applications and functionalities -- 1.3.5 Advanced concepts for modern radars -- 1.3.6 From a single radar unit to radar network topology -- 1.4 Issue in current radar networks and future trends -- 1.5 Summary -- References -- 2. Electronic warfare systems and their current issues / Maurizio Gemma, Antonio Tafuto, Marco Bartocci and Daniel Onori -- 2.1 Chapter organization and key points -- 2.2 Electronic warfare scenario -- 2.3 ES receivers -- 2.3.1 ES receivers for radar emitters -- 2.3.2 ES receivers for communications emitters -- 2.3.3 Basic ES sensors architectures -- 2.3.4 ES receivers implementations and requirements -- 2.3.5 Digital receiver -- 2.4 EA architectures -- 2.5 EP architectures -- 2.5.1 Frequency and pulse repetition interval agility -- 2.5.2 Ultralow sidelobes -- 2.5.3 Multiple SLCs -- 2.5.4 Sidelobe blanker -- 2.6 Future developments -- 2.7 Conclusions -- References -- 3. Microwave photonic concepts and functionalities / Massimiliano Dispenza, Luigi Pierno, Paolo Ghelfi and Antonella Bogoni -- 3.1 Chapter organization and key points -- 3.2 Microwave photonic solutions for future radar and EW systems -- 3.3 Photonics-based RF generation and up-conversion -- 3.3.1 Generation of phase-locked lasers through RF modulation -- 3.3.2 Laser phase locking through injection locking -- 3.3.3 Opto-electronic oscillators -- 3.3.4 Mode locked lasers. 3.4 Photonics-based RF detection -- 3.4.1 RF detection by photonic down-conversion -- 3.4.2 RF detection by optical sampling -- 3.4.3 Other photonics-based RF receiving techniques -- 3.5 Photonics RF signal transport and distribution -- 3.6 Optical filtering for microwave signals -- 3.7 Optical beamforming of RF signals -- 3.8 On-chip implementation: state of the art, future trends, and perspective -- 3.9 Summary -- References -- 4. Photonics-based radars / Filippo Scotti, Paolo Ghelfi, and Antonella Bogoni -- 4.1 Chapter organization and key points -- 4.2 Photonics-based transceivers -- 4.3 A general photonics-based transceiver for software-defined radars -- 4.4 A specific photonics-based transceiver for FMCW radar -- 4.5 Photonics-based radars and field trials -- 4.6 Multiband photonics-based transceiver and radar -- 4.7 Dual-band signal processing -- 4.8 Case study: naval scenario field trial -- 4.9 Case study: aerial scenario field trial -- 4.10 Case study: environmental monitoring field trial -- 4.11 Summary -- References -- 5. Radar networks / Carlo Noviello, Paolo Braca and Salvatore Maresca -- 5.1 Chapter organization and key points -- 5.2 Multistatic radars -- 5.2.1 Concept -- 5.2.2 Benefits -- 5.2.3 Applications -- 5.2.4 Network radar: system description -- 5.3 Signal model -- 5.3.1 Centralized radar network processing -- 5.3.2 Decentralized radar network processing -- 5.4 Radar network synchronization issues -- 5.5 Data fusion methods -- 5.5.1 Data fusion architectures in multistatic radar networks -- 5.5.2 Information fusion approaches in multistatic architectures -- 5.5.3 Achievements in radar network fusion -- 5.6 Multitarget tracking -- 5.6.1 Description of the MTT problem for radar network -- 5.7 Radar networks for maritime surveillance: a recent experimentation -- 5.7.1 Experimental setup -- 5.7.2 Performance assessment. 5.7.3 Experimental analysis -- 5.8 Summary -- References -- 6. Photonics in radar networks / Sergio Pinna, Salvatore Maresca, Francesco Laghezza, Leonardo Lembo and Paolo Ghelfi -- 6.1 Chapter organization and key points -- 6.2 Coherence and synchronization in radar networks -- 6.2.1 Classification of radar networks -- 6.2.2 Synchronization in radar networks -- 6.3 Photonics for synchronizing distributed radar networks -- 6.3.1 Microwave frequency transfer -- 6.3.2 Optical reference generation and distribution -- 6.4 Photonics-based centralized radar network: an experimental approach -- 6.5 MIMO processing in photonics-based centralized radar networks -- 6.5.1 A simulator for photonics-based MIMO radars -- 6.5.2 Simulation results: the potentials of the coherent MIMO processing -- 6.6 Conclusions -- References -- 7. Photonics in electronic warfare systems / Daniel Onori and Paolo Ghelfi -- 7.1 Chapter organization and key points -- 7.2 Photonics potentials in EW systems -- 7.2.1 Electronic protection -- 7.2.2 Electronic support -- 7.2.3 Electronic attack -- 7.3 Microwave photonic links -- 7.3.1 MPLs based on intensity modulation and direct detection -- 7.3.2 MPL linearization by predistortion -- 7.3.3 Differential transmission and detection -- 7.3.4 Other methods for extending the linearity of IM-DD PMLs -- 7.3.5 MPLs based on phase modulation and coherent detection -- 7.3.6 MPLs for direction finding -- 7.4 Instantaneous frequency measure systems -- 7.5 Scanning receivers -- 7.6 A photonics-based coherent scanning receiver -- 7.6.1 Architecture of the photonics-based coherent scanning receiver -- 7.6.2 Features and figures of merits -- 7.7 Case study: a field trial in a tactical naval scenario -- 7.8 Summary -- References -- 8. Past and future of radars and EW systems: an industrial perspective / Alfonso Farina. 8.1 Chapter organization and key points -- 8.2 Operational needs -- 8.2.1 Radar -- 8.2.2 EW -- 8.3 Photonics in surveillance phased array radar -- 8.3.1 A review of beam-forming network technology and architectures -- 8.3.2 Past -- 8.3.3 Present -- 8.3.4 Near future -- 8.4 Photonics/optronics in SAR -- 8.4.1 SAR, a short reminder -- 8.4.2 Past -- 8.4.3 Present and future -- 8.5 The role of photonics/optronics in adaptive digital beam forming (ADBF) for radar -- 8.5.1 Mapping of an ADBF algorithm on optical computer -- 8.6 The role of photonics/optronics in ESM -- 8.7 Coexistence of radar and EW: the role of optronics -- 8.8 Quantum sensing and quantum radar (QR): Sci-Fi or a potential reality? -- 8.8.1 Basic principle of operation of QR -- 8.8.2 Basic principle of operation of QI -- 8.9 Summary and way ahead -- References -- Further reading -- 9. Conclusions / Antonella Bogoni, Paolo Ghelfi, and Francesco Laghezza -- Index. This book outlines the potential for microwave photonics in radar and electronic warfare systems, covering basic concepts and functions, comparing performance with conventional systems, describing its impact on digital signal processing, and exploring integration issues. EBL201906 Engineering SzGeCERN EBL Photonics EBL Radio antijamming BOOK Laghezza, Francesco Ghelfi, Paolo https://cds.cern.ch/auth.py?r=EBLIB_P_5760535 ebook n 201925 201906 21 PUBLIC https://catalogue.library.cern/legacy/2679989 BOOK MIGRATED 2679895 SzGeCERN 20210421202333.0 9781644900123 print version 9781644900130 electronic version electronic version oai:cds.cern.ch:2679895 cerncds:BOOK EBL 5751612 eng R857.B54 .B567 2019 610.28 Inamuddin Biosensors materials and applications Millersville, PA Materials Research Forum 2019 327 p ebook Materials research foundations 47 Intro -- front-matter -- Table of Contents -- Preface -- 1 -- Applications of Aptasensors in Health Care -- 1. Introduction -- 2. Aptamer-based sensing platform -- 3. Immobilization of recognition molecules -- 4. Design and strategies of aptasensors -- 5. Application of aptasensor for small molecules -- 5.1 Aptasensor for pesticide -- 5.2 Aptasensor for small molecules (Cocaine and Adenosine) -- 5.3 Aptasensor for Lysozyme -- 5.4 Application of aptasensor for bacterial, viral and protozoan -- 5.5 Application of aptasensor for non-infectious disease -- 6. Future prospects -- References -- 2 -- Applications of Molecularly Imprinted Polymers to Genobiosensors -- 1. Introduction -- 1.1 Molecularly Imprinted Polymers -- 1.2 Precursors of MIPs -- 1.3 Approaches to MIP synthesis -- 1.4 Applications of MIPs -- 2. Biosensors -- 2.1 Introduction to Biosensors -- 2.2 Components of Biosensor -- 2.3 Bioreceptors -- 2.2.2 Transducers -- 2.2.3 Amplifier, electronics and interface or display -- 3. Immobilization Matrices for Biosensors -- 4. Molecularly Imprinted Polymers based Geno-biosensors: -- Conclusion -- Acknowledgement -- References -- 3 -- Application of Functional Metal Nanoparticles for Biomarker Detection -- 1. Background -- 2. Metal nanomaterials -- 2.1 Synthesis -- 2.2 Characterization methods -- 2.3 Biomedical applications -- 3. Functional metal nanoparticles -- 4. Tumour markers and targeting of nanoparticles -- 5. Sensing and imaging applications of metal nanoparticles -- 5.1 Gold nanoparticles -- 5.2 Silver nanoparticles -- 5.3 Platinum nanoparticles -- 5.4 Palladium nanoparticles -- 5.5 Other metal nanoparticles -- 6. Techniques used for biosensing and imaging applications -- 6.1 Fluorescence sensing techniques -- 6.2 ELISA technique -- 6.3 SERS technique -- 6.4 In vivo imaging -- 7. Safety issues of metal nanoparticles -- Conclusions. References -- 4 -- Layered Double Hydroxide Based Biosensors -- 1. Introduction -- 2. Prominent and unique features of layered double hydroxide modified electrodes -- 3. Layered double hydroxide based biosensors -- 4. Fabrication of LDH based biosensors -- 4.1 Solvent casting -- 4.2 Layer by layer assembly -- 4.3 Electrogeneration (electrosynthesis) -- 4.4 Carbon paste electrode -- 5. Electroanalytical applications of LDH based biosensors -- 5.1 Glucose oxidase based biosensor -- 5.2 Tyrosinase based LDH biosensors -- 5.3 Heme-based LDH biosensors -- 5.3.1 Hemoglobin (Hb) based LDH biosensors -- 5.3.2 Myoglobin (Mb) based LDH biosensors -- 5.3.3 Cytochrome c (Cyt c) based LDH biosensors -- 5.3.4 Horseradish peroxidase (HRP) based LDH biosensors -- 5.4 Acetylcholinesterase (AChE) based LDH biosensors -- 6. Miscellaneous -- Conclusion and future perspective: -- Acknowledgments -- References -- 5 -- Electrochemical Nanobiosensors for Cancer Diagnosis -- 1. Introduction -- 2. Lung Cancer -- 2.1 Antibody-based biosensor -- 2.2 Nucleic acid-based biosensor -- 2.3 Biomimetic based biosensor -- 2.4 Other -- 3. Breast Cancer -- 3.1 Enzyme-based biosensor -- 3.2 Antibody-based biosensor -- 3.3 Nucleic acid-based biosensor -- 3.4 Biomimetic biosensor -- 4. Prostate Cancer -- 4.1 Enzyme-based biosensor -- 4.2 Antibody-based biosensor -- 4.3 Lectin-based biosensor -- 4.4 Nucleic acid-based biosensor -- 4.5 Biomimetic biosensor -- 4.6 Phage-based biosensor -- 4.7 Fabricated biochips -- Aptamer-nanospears Au/Au electrode -- 5. Colorectal Cancer -- 5.1 Enzyme-based biosensor -- 5.2 Antibody-based biosensor -- 5.3 Nucleic acid-based biosensor -- 5.4 Biomimetic biosensor -- Conclusion and Future Prospective -- References -- 6 -- Role of Nanoparticles in Combating Infections -- 1. Introduction -- 2. Challenges for the treatment of microbial infections. 3. Role of nanotechnology in therapeutic delivery of antimicrobial agents -- 4. Polymeric-based nanoparticles as an antimicrobial agents -- 4.1 Metallic nanoparticles as antibacterial agents -- 4.1.1 Metallic oxides nanoparticles as antimicrobial agents -- 4.1.2 Silver nanoparticles as antimicrobial agents -- 4.1.3 Zinc oxide nanoparticles as antimicrobial agents -- 4.1.4 Gold nanoparticles as antimicrobial agents -- 4.1.5 Copper oxide nanoparticles as antimicrobial agents -- 4.1.6 Metal-halogen complex-based nanoparticles as antimicrobial agents -- 4.2 Chitosan-based nanoparticles as antimicrobial agents -- 5. Polymeric-based nanoparticles as microbial diagnostic agents -- 6. Recent advances in intracellular delivery of nanoparticle-based antibiotics -- 6.1 Amphotericin B -- 6.2 Aminoglycosides -- 6.3 Beta-lactam antibiotics -- 6.4 Tetracycline antibiotics -- 6.5 Fluoroquinolone antibiotics -- 6.6 Macrolide antibiotics -- 6.7 Cephalosporins -- 6.8 Nanoparticle-based antibacterial vaccination -- Conclusion -- References -- 7 -- Theranostic Application of Nanoparticulated Systems: Present and Future Prospects -- 1. Introduction -- 2. Types of nanocarriers -- 3. Targeted delivery and control release -- 4. Merits of nanotechnology based therapeutics -- 5. Mechanism of action of nanotechnology based therapeutic agents -- 6. Demerits of nanotechnology based therapeutics -- 7. Current nanotechnology based therapeutics for clinical trails -- 8. Future prospects of nanotechnology -- Conclusion -- References -- 8 -- Enzymatic Biosensor for in vivo Applications -- 1. Introduction -- 2. Biosensors: definition and classification -- 3. Biosensors: Michaelis-Menten model in amperometric biosensors -- 4. Biosensors in in vivo applications: important issues -- 5. Sensitivity, limit of detection, limit of quantification and linear range. 6. Selectivity: interference of endogenous reducing agents -- 7. Oxygen deficit -- 8. Biocompatibility and long-term stability -- Conclusions -- References -- back-matter -- Keyword Index -- About the Editors. This book presents recent developments in the field of biosensors and their applications in healthcare. Keywords: Biosensors, Environmental Contaminants, Disease-causing Pathogens, Genetic Material, Tumor Cells, Cancer, Infectious Diseases, Monitoring Molecules in vivo, Aptasensors, Molecularly Imprinted Polymers, Biomarkers, Nanobiosensors, Theranostics, Bio-recognition, DNA Biosensors, Hydroxide Based Biosensors, Nanoparticles Combating Infections. Healthcare. EBL201906 Health Physics and Radiation Effects SzGeCERN BOOK Rangreez, Tauseef Ahmad Ahamed, Mohd Imran Asiri, Abdullah M https://cds.cern.ch/auth.py?r=EBLIB_P_5751612 ebook n 201925 201906 21 PUBLIC https://catalogue.library.cern/legacy/2679895 BOOK MIGRATED 2679818 SzGeCERN 20200503232034.0 9781351410595 electronic version electronic version 9781574442625 print version oai:cds.cern.ch:2679818 cerncds:BOOK EBL 4926167 eng 99-30449 658.4/06 Pieters, Gerald R The ever changing organization creating the capacity for continuous change, learning, and improvement London Routledge 1999 239 p Cover-Page -- Title Page -- Copyright Page -- Preface -- About the Authors -- Acknowledgments -- Contents Page -- Dedications -- Chapter 1. Introduction to the Ever-Changing Organization -- I. Leaders and the Ever-Changing Organization -- II. A Snapshop Look at ECO Need and Status -- III. Change Keeps Coming and We're Not Prepared -- IV. Organizational Orientation to Change -- A. Change Averse -- B. Change Resistant -- C. Change Managing -- D. Change Friendly -- E. Change Seeking -- F. Implications of Orientation to Change -- V. Assumptions, Behaviors, Consequences, and Change Orientation -- A. The ABC Model -- VI. The Ever-Changing Organization Model -- A. Basis for the ECO Model -- B. Organizations as Systems -- C. Systems Model of the Ever-Changing Organization -- VII. Implementing the ECO Model -- Chapter 2. Environment -- I. Environmental Uncertainty and Change -- A. Organization and Environment -- B. Current and Future Environments and Uncertainty -- II. Environmental Factors Influencing Needed ECO Capability -- A. Rate of Technological Change -- B. Product/Service Life Cycles -- C. Rate of Market Growth -- D. Changing Customer Requirements and Expectations -- E. Competitive Situation -- F. Globalization of Businesses and Markets -- G. Application Base of Products or Services -- H. Access to Information -- I. Environmental Impact of Business -- III. Acceleration and Compression of Time in High Uncertainty Environments -- IV. Implications of Uncertainty for ECO Needs -- Chapter 3. Stabilizing Base -- I. Stabilization vs. Rigidity -- II. People Need Stabilizing Forces -- III. Shared Values -- A. Starbucks -- B. Ann Taylor -- C. Making Shared Values Come Alive -- IV. Living Vision -- A. What's In It for Me? -- B. Creating a Living Vision -- C. Documentum Corporation -- D. Maintaining Positive Tension. V. Commitment to Change, Learning, and Improvement -- A. Walking the Talk -- B. Learning to Walk the Talk -- C. ECO's Commitment to Change, Learning, and Improvement -- D. Profiles of ECO Components -- VI. Clear Goals and Direction -- A. S.M.A.R.T. Goals -- B. Goal Alignment -- VII. Belief and Trust in People -- A. Start with Positive Beliefs and Trust - or Prove It First? -- B. Belief and Trust and the Stabilizing Base -- VIII. Stability of Employee Base -- A. Excessive Stability -- B. Too Much Instability -- C. Employee Stability that Strengthens the Stabilizing Base -- D. Managerial Transition Meetings -- IX. Flexibility of Systems, Structures, and Infrastructure -- A. Inflexibility and the Cost of Energy to Change -- B. Flexibility Is Stabilizing -- C. Features Adding Flexibility -- X. Access to Data and Information -- A. Control of Access and Effects on Stabilization -- B. Information and the Response to Change -- C. Dramatic Effects from More Open Access -- D. Technological Change and Availability of Information -- XI. Emphasis on Results and Process -- A. Only Focusing on Results Doesn't Work -- B. Both Results and Process, Not Either-Or -- XII. Balance -- A. Time Orientation -- B. Work and Personal Time -- C. Stakeholder's Needs -- D. Freedom and Control -- XIII. Summary of Stabilizing Base -- Chapter 4. Managing FOR Change -- I. Customer Focus -- A. Customer-Supplier Partnerships -- B. Feedback and Customer Satisfaction -- C. Customer Linkages at Many Levels -- D. Ease of Customer Access to Supplier Organization -- II. Environmental Sensing -- A. Technology Sensing -- B. Competitive Sensing -- C. Other External Sensing -- D. Internal Sensing -- III. Impetus for Change -- A. Change as Everyone's Responsibility -- B. Problems or Opportunities? -- C. Incremental or Breakthrough Change? -- D. Change Stemming from the Absence of Change. IV. Change Planning and Management -- A. Predictable Responses to Imposed Change -- B. Change-Planning and Management Factors -- V. Systems Model for Change and Alignment -- A. The Management System Model -- B. Selection of a Systems Model for Change -- C. Use of Systems Models for Prevention -- VI. Change as a Business Strategy -- VII. Adaptive Leadership -- A. Adaptation of Organizational Direction or Strategy -- B. Adaptability and Leadership Styles -- VIII. Change Orientation of Policies, Procedures, and Controls -- A. Restricting Change with Policies, Procedures, and Controls -- B. Policies, Procedures, and Controls That Build ECO Capability -- C. Challenging Embedded Policies, Procedures, and Controls -- IX. Work Design -- A. Managing Your Own Work -- B. Autonomous or Semi-Autonomous Work Teams -- X. Use of Change Agents -- XI. Managing FOR Change Summary -- Chapter 5. Continuous Improvement -- I. Introduction -- A. Roots of Continuous Improvement -- B. Range of Continuous Improvement Models -- C. CI Features and ECO Development -- II. Direction and Goals for Continuous Improvement -- A. Linking CI Direction to the Organization and Its Needs -- B. Focusing the Direction for Continuous Improvement -- C. Goal Selection at Lower Levels -- III. Improvement Challenge -- A. Challenge to All -- B. Challenge Is Ongoing and the Work Never Done -- C. Benchmarking and Best Practices -- IV. Size of Improvements Expected -- A. Incremental or Breakthrough Improvement? -- B. How Big Is Big? -- V. Common Language and Definitions -- A. Meaning of Quality -- B. Mixing Quality and Customer Delight -- C. Quality Standards -- VI. Customer-Supplier Relationships -- A. Horizontal Customer-Supplier Connections -- B. Customer-Supplier Model -- C. No Requirements, No Feedback, No Improvement -- VII. Prevention Orientation. A. Prevention vs. Inspection and Impact on Quality and Cost -- B. The Limiting Effect of Inspection on ECO Capacity -- C. Proactive and Reactive Prevention -- VIII. Systematic Problem-Solving Processes -- A. Problem Definition -- B. Data and Fact Orientation -- C. Tools Support -- IX. Process Improvement Methods -- A. Process Mapping -- B. Improvement Analysis -- C. Implementation -- D. Support Tools -- E. Statistical Process Control Methods -- X. Structures and Time for Continuous Improvement -- A. Structures for Continuous Improvement -- B. Time for Continuous Improvement -- C. Other Resource Support -- XI. Strategies for Innovation and Creativity -- A. Stimulating Creativity with CI Goals -- B. Removing Fear of Failure -- C. Tools to Stimulate Creative Thinking -- XII. Summary of Continuous Improvement as an ECO Component -- Chapter 6. Continuous Learning -- I. Introduction -- II. Investment in Continuous Learning -- A. Spending for Training as an Expense -- B. Spending for Training as an Investment -- III. Life/Career-Long Learning Support -- A. Redefining the Person-Organization Bond -- B. Life/Career-Long Learning Support as the New Paradigm -- C. Win-Win Nature of the New Paradigm -- D. Learning Vehicles -- IV. Competency/Development Planning -- A. Identifying Competencies Required for Specific Positions -- B. Inventorying Individual Competencies -- C. Development Planning To Fill Competency Gaps -- D. Building the Organization's Competency Development Plan -- V. Structured Developmental Relationships -- A. Mentors and Protégés -- B. Types of Structured Developmental Relationships -- C. Mutually Beneficial Relationships -- VI. Learning Critiques -- A. Types of Critique -- B. Structured vs. Open Critiques -- VII. Identifying Success and Failure Patterns -- A. Applied Materials -- B. The Minicase Method. C. Analysis of Forces Influencing Success or Failure -- D. Identifying Patterns -- E. Using Outcomes of the Minicase Method -- VIII. Archiving and Accessing Organizational Memory -- A. Lessons Learned -- B. Using Advanced Technology -- IX. Identifying and Testing Assumptions -- A. The Unmotivated Quality Techician -- B. Getting at Underlying Assumptions -- C. ABCs of Organizational Alignment -- X. Learning How To Learn -- A. Organizational Responsibility -- B. Individual Responsibility -- XI. Summary of Continuous Learning as an ECO Component -- Chapter 7. Implementation -- I. Deciding to Move to Implementation -- II. Leadership of the Implementation Process -- III. Getting Started -- A. Preliminary Management Exploration -- B. Selecting and Orienting a Diagnostic Team -- C. Training the Diagnostic Team -- D. Planning and Conducting Diagnosis -- E. Preparing a Summary Report for Management -- IV. Management Retreat -- A. Reviewing and Exploring Diagnostic Results -- B. Deciding on ECO Development -- C. Planning Start-Up and Management of ECO Process -- V. Renewing the Process -- References -- Index. Young, Doyle W https://cds.cern.ch/auth.py?r=EBLIB_P_4926167 ebook ebook EBL201906 Information Transfer and Management SzGeCERN BOOK n 201925 21 PUBLIC BOOK DELETED 2679400 SzGeCERN 20220915020648.0 oai:cds.cern.ch:2679400 cerncds:FULLTEXT cerncds:CERN:FULLTEXT INIS cerncds:CERN DOI 10.1088/1748-0221/14/05/C05008 Inspire 1735647 CMS-CR-2019-017 eng Zhang, Fengwangdong INSPIRE-00366572 CCID-746444 UC, Davis Development of the CMS Phase-1 Pixel Online Monitoring System and the Evolution of Pixel Leakage Current 2019 Geneva CERN 15 Feb 2019 11 p A new pixel online monitoring system has been developed to give a fast and intuitive view of the detector performance both offline and online. The source script was written modularly in Python programming language in association with the SQLite and Java languages. It establishes a connection with the CMS detector monitoring database, and extracts and stores detector information into a local database. Among all of the monitored detector parameters, the pixel leakage current is one of the most interesting, as it reflects the accumulated radiation damage of the silicon sensors. The leakage currents obtained from different module positions in the pixel detector are highly correlated with the distance from the beam pipe. Based on the new monitoring system, we have analyzed the pixel detector leakage current evolution since the recent Phase-1 upgrade of the pixel detector and its dependence on the environmental temperature influenced by the cooling loop arrangement inside the pixel detector. The results provide a crucial reference on the detector performance for the re-design of the detector in the Phase-2 upgrade. publication IOP Publishing Ltd and Sissa Medialab 2019 CERN EDS For annual report SzGeCERN Detectors and Experimental Techniques CMS PixelDetector INTNOTE CERN PUBLCMS ARTICLE CERN LHC CMS PH CMS Collaboration C05008 05 JINST 14 2019 1487682 4335828 http://cds.cern.ch/record/2679400/files/CR2019_017.pdf n 201925 2648033 C05008 taipei20181210 PUBLIC INTNOTECMSPUBL ConferencePaper ARTICLE 2678566 20251201182429.0 oai:cds.cern.ch:2678566 cerncds:TALK eng CERN. Geneva Sharing Knowledge Conference CERN - 80/1-001 - Globe of Science and Innovation - 1st Floor 2019-06-07T18:25:00 2019-06-07T18:30:00 775100c30 Pitch 3 2019 2019-06-07 214 Streaming video General Meetings Sharing Knowledge Conference 2019-06-07T18:25:00 <!--HTML-->ECONEXUS provides innovative clean energy solutions in Africa with the focus on energy recovery from waste using environmentally compatible technologies. Using climatesmart technologies, EcoNexus Ventures converts waste streams into customized environmentally friendly resources. CERN 2019 General Meetings Event TALK CERN Essel, Prince speaker ECONEXUS https://indico.cern.ch/event/775100/contributions/3450552/ Talk details https://indico.cern.ch/event/775100/ Event details MediaArchive /mnt/master_share/master_data/2019/775100c30 Absolute master path MediaArchive /2019/775100c30/775100c30_en.vtt subtitle subtitle English MediaArchive /2019/775100c30/775100c30_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2019/775100c30/thumbs/20190607185151.png pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2019/775100c30/775100c30_desktop_slides_1080p_4000.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 4000 MediaArchive https://lecturemedia.cern.ch/2019/775100c30/775100c30_desktop_slides_360p_800.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 800 MediaArchive https://lecturemedia.cern.ch/2019/775100c30/775100c30_desktop_slides_480p_1000.mp4 video/mp4 Content: presentation. Resolution: 853x480. Baudrate: 1000 MediaArchive https://lecturemedia.cern.ch/2019/775100c30/775100c30_desktop_slides_720p_2000.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 2000 MediaArchive https://lecturemedia.cern.ch/2019/775100c30/775100c30_desktop_camera_1080p_4000.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 4000 MediaArchive https://lecturemedia.cern.ch/2019/775100c30/775100c30_desktop_camera_360p_800.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 800 MediaArchive https://lecturemedia.cern.ch/2019/775100c30/775100c30_desktop_camera_480p_1000.mp4 video/mp4 Content: presenter. Resolution: 853x480. Baudrate: 1000 MediaArchive https://lecturemedia.cern.ch/2019/775100c30/775100c30_desktop_camera_720p_2000.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 2000 julia.double@cern.ch 2018-11-19T10:09:47 2019-06-15T09:38:01 PUBLIC INDICO.775100c30 https://videos.cern.ch/legacy/record/2678566 Indico CMTE MIGRATED 2678329 SzGeCERN 20210421202400.0 9783030150808 print version 9783030150815 electronic version electronic version 9783030150822 print version 9783030150839 print version DOI 10.1007/978-3-030-15081-5 ebook oai:cds.cern.ch:2678329 cerncds:BOOK eng QA273.A1-274.9 QA274-274.9 519.2 23 Suciu, Nicolae Diffusion in random fields applications to transport in groundwater Cham Springer 2019 ebook Geosystems mathematics 2510-1544 Introduction -- Preliminaries -- Stochastic simulations of diffusion processes -- Diffusion in random velocity fields -- Monte Carlo GRW simulations of passive transport in groundwater -- Probability and filtered density function approaches -- Model, scale, and measurement. This book presents, in an accessible and self-consistent way, the theory of diffusion in random velocity fields, together with robust numerical simulation approaches. The focus is on transport processes in natural porous media, with applications to contaminant transport in groundwater. Starting from basic information on stochastic processes, more challenging issues are subsequently addressed, such as the correlation structure of the diffusion process in random fields, the relation between memory effects and ergodic properties, derivation and parameterizations of evolution equations for probability densities, and the relation between measurements and spatio-temporal upscaling. Written for readers with a background in applied mathematics, engineering, physics or geophysics, the book offers an essential basis for further research in the stochastic modeling of groundwater systems. Mathematics and statistics SPR201906 SzGeCERN Mathematical Physics and Mathematics SPR Physical geography SPR GeophysicsGeodesy SPR Geophysics and Environmental Physics BOOK SPR n 201923 201906 21 PUBLIC https://catalogue.library.cern/legacy/2678329 BOOK MIGRATED 2683832 SzGeCERN 20220810142406.0 DOI APS 10.1103/PhysRevC.99.015804 oai:inspirehep.net:1714832 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1714832 2019-07-23T15:50:57Z 2019-07-24T04:00:06Z marcxml Inspire 1714832 eng Wallner, A anton.wallner@anu.edu.au Vienna U. Australian Natl. U., Canberra (main) VERA Laboratory, Faculty of Physics, University of Vienna , Austria APS Stellar and thermal neutron capture cross section of $^9$Be 2019 11 p APS The neutron capture cross section of Be9 for stellar energies was measured via the activation technique using the Karlsruhe Van de Graaff accelerator in combination with accelerator mass spectrometry at the Vienna Environmental Research Accelerator. To characterize the energy region of interest for astrophysical applications, activations were performed in a quasistellar neutron spectrum of kT=25 keV and for a spectrum at En=473±53 keV. Despite the very small cross section, the method used provided the required sensitivity for obtaining fairly accurate results of 10.4±0.6 and 8.4±1.0μb, respectively. With these data it was possible to constrain the cross section shape up to the first resonances at 622 and 812 keV, thus allowing for the determination of Maxwellian-averaged cross sections at thermal energies between kT=5 and 100 keV. In addition, we report a new experimental cross section value at thermal energy of σth=8.31±0.52 mb. publication CC-BY-4.0 https://creativecommons.org/licenses/by/4.0/ publication authors 2019 SzGeCERN Nuclear Physics - Experiment SzGeCERN Astrophysics and Astronomy publisher Nuclear Astrophysics CERN Bichler, M Vienna, Tech. U., Atominst. Coquard, L KIT, Karlsruhe Dillmann, I KIT, Karlsruhe Forstner, O U. Vienna (main) Golser, R U. Vienna (main) Heil, M KIT, Karlsruhe Käppeler, F KIT, Karlsruhe Kutschera, W U. Vienna (main) Lederer-Woods, C Edinburgh U. Martschini, M U. Vienna (main) Mengoni, A CERN Merchel, S HZDR, Dresden Michlmayr, L U. Vienna (main) Priller, A U. Vienna (main) Steier, P U. Vienna (main) Wiescher, M U. Notre Dame (main) 015804 1 Phys. Rev. C 99 2019 1502606 797143 http://cds.cern.ch/record/2683832/files/PhysRevC.99.015804.pdf 13 ARTICLE doi:10.1103/RevModPhys.29.547 journal E. Burbidge G. Burbidge W. Fowler F. Hoyle 1 Rev.Mod.Phys.,29,547 1957 book A. Cameron Technical report, unpublished 2 Canada: A. E. C. L. Chalk River 1957 doi:10.1086/305437 journal R. Gallino 3 Ap.J.,497,388 1998 doi:10.1017/pasa.2014.21 journal A. Karakas J. Lattanzio 4 Publ.Astron.Soc.Australia,31,e030 2014 doi:10.1093/mnras/stv271 journal S. Bisterzo 5 Mon.Not.Royal Astron.Soc.,449,506 2015 doi:10.1086/173476 journal C. Raiteri 6 Ap.J.,419,207 1993 doi:10.1086/509753 journal L. The M. El Eid B. Meyer 7 Ap.J.,655,1058 2007 doi:10.1088/0004-637X/762/1/31 journal M. Pignatari 8 Ap.J.,762,31 2013 proc Z. Fülöp I. Dillmann contribution 057, 9 Trieste: SISSA Nuclei in the Cosmos XIII, PoS—Proceedings of Science http://pos.sissa.it 2014 doi:10.1038/nature24453 journal D. Kasen B. Metzger J. Barnes E. Quataert E. Ramirez-Ruiz 10 Nature,551,80 2017 doi:10.1038/ncomms6956 journal A. Wallner 11 Nat.Commun.,6,5956 2015 doi:10.1016/j.physrep.2007.02.006 journal Y.-Z. Qian G. Wasserburg 12 Phys.Rep.,442,237 2007 doi:10.1016/j.ppnp.2011.01.032 journal F.-K. Thielemann 13 Prog.Particle Nucl.Phys.,66,346 2011 doi:10.1063/1.4868239 journal T. Rauscher 14 AIP Adv.,4,041012 2014 doi:10.1038/nphys172 journal S. Woosley T. Janka 15 Nat.Phys.,1,147 2005 doi:10.1088/0954-3899/40/1/013201 journal A. Arcones F.-K. Thielemann 16 J.Phys.,G40,013201 2013 doi:10.1088/0004-637X/712/2/1359 journal K. Farouqi 17 Ap.J.,712,1359 2010 doi:10.1103/PhysRevC.74.015802 journal A. Bartlett J. Gorres G. J. Mathews K. Otsuki M. Wiescher D. Frekers A. Mengoni J. Tostevin 18 Phys.Rev.C.,74,015802 2006 doi:10.1103/PhysRevC.52.2231 journal J. Görres H. Herndl I. J. Thompson M. Wiescher 19 Phys.Rev.C.,52,2231 1995 doi:10.1016/j.nds.2011.11.002 journal M. Chadwick 20 Nucl.Data Sheets,112,2887 2011 doi:10.1080/18811248.2011.9711675 journal K. Shibata 21 J.Nucl.Sci.Tech.,48,1 2011 misc Technical report, OECD Nuclear Energy Agency, Paris, unpublished, 22 https://www.oecd-nea.org/dbdata/jeff/jeff33/ misc A. I. Blokhin E. V. Gai A. V. Ignatyuk I. I. Koba V. N. Manokhin V. N. Pronyaev Technical Report No 2, p 62 23 Yad.Reak.Konst. 2016 doi:10.3938/jkps.59.1052 journal Z. G. Ge 24 J.Kor.Phys.Soc.,59,1052 2011 thesis S. Shibata in Japanese unpublished 25 Master Thesis 1992 book S. Mughabghab 26 Amsterdam: Elsevier Atlas of Neutron Resonances 2006 doi:10.1016/j.nds.2012.11.007 journal B. Pritychenkov S. Mughabghab 27 Nucl.Data Sheets,113,3120 2012 doi:10.1103/PhysRevC.93.054306 journal R. B. Firestone Z. Révay 28 Phys.Rev.C.,93,054306 2016 doi:10.1016/j.nimb.2009.09.020 journal G. Korschinek 29 Nucl.Instr.Meth.,B268,187 2010 doi:10.1016/j.nimb.2009.09.012 journal J. Chmeleff 30 Nucl.Instr.Meth.,B268,192 2010 doi:10.1016/j.ijms.2013.05.008 journal H.-A. Synal 31 Int.J.Mass Spectrom.,349-350,192 2013 doi:10.1016/j.ijms.2013.05.023 journal W. Kutschera 32 Int.J.Mass Spectrom.,349-350,203 2013 doi:10.1016/j.nimb.2009.10.152 journal A. Wallner 33 Nucl.Instr.Meth,B268,1277 2010 doi:10.1016/j.nimb.2005.06.143 journal P. Steier 34 Nucl.Instr.Meth.,B240,445 2005 doi:10.1103/PhysRevLett.94.092504 journal H. Nassar M. Paul I. Ahmad D. Berkovits M. Bettan P. Collon S. Dababneh S. Ghelberg J. P. Greene A. Heger M. Heil D. J. Henderson C. L. Jiang F. Käppeler H. Koivisto S. OBrien R. C. Pardo N. Patronis T. Pennington R. Plag K. E. Rehm R. Reifarth R. Scott S. Sinha X. Tang R. Vondrasek 35 Phys.Rev.Lett.,94,092504 2005 doi:10.1016/j.nimb.2007.01.206 journal G. Rugel 36 Nucl.Instrum.Meth.,B259,683 2007 doi:10.1103/PhysRevC.79.065805 journal I. Dillmann C. Domingo-Pardo M. Heil F. Käppeler A. Wallner O. Forstner R. Golser W. Kutschera A. Priller P. Steier A. Mengoni R. Gallino M. Paul C. Vockenhuber 37 Phys.Rev.C.,79,065805 2009 doi:10.1016/j.nimb.2009.10.153 journal I. Dillmann 38 Nucl.Instr.Meth.,B268,1283 2010 doi:10.1103/PhysRevLett.112.192501 journal A. Wallner 39 Phys.Rev.Lett.,112,192501 2014 doi:10.1103/PhysRevC.93.045803 journal A. Wallner M. Bichler K. Buczak I. Dillmann F. Käppeler A. Karakas C. Lederer M. Lugaro K. Mair A. Mengoni G. Schätzel P. Steier H. P. Trautvetter 40 Phys.Rev.C.,93,045803 2016 doi:10.1103/PhysRevC.95.035803 journal P. Ludwig G. Rugel I. Dillmann T. Faestermann L. Fimiani K. Hain G. Korschinek J. Lachner M. Poutivtsev K. Knie M. Heil F. Käppeler A. Wallner 41 Phys.Rev.C.,95,035803 2017 doi:10.1103/PhysRevC.96.025808 journal A. Wallner K. Buczak T. Belgya M. Bichler L. Coquard I. Dillmann R. Golser F. Käppeler A. Karakas W. Kutschera C. Lederer A. Mengoni M. Pignatari A. Priller R. Reifarth P. Steier L. Szentmiklosi 42 Phys.Rev.C.,96,025808 2017 doi:10.1103/PhysRevC.37.595 journal W. Ratynski F. Käppeler 43 Phys.Rev.,C37,595 1988 doi:10.1016/j.nimb.2008.02.060 journal O. Forstner 44 Nucl.Instr.Meth.Phys.Res.,B266,2213 2008 thesis M. Martschini at the unpublished University of Vienna 45 Master thesis 2008 doi:10.1016/j.nimb.2004.04.111 journal A. Priller 46 Nucl.Instr.Meth.Phys.Res.,B223-224,601 2004 misc P. Steier unpublished 47 doi:10.1016/j.nimb.2008.07.031 journal S. Merchel 48 Nucl.Instr.Meth.Phys.Res.,B266,4921 2008 doi:10.1016/j.nima.2009.06.046 journal R. Reifarth M. Heil F. Käppeler R. Plag 49 Nucl.Instr.Meth.,A608,139 2009 doi:10.1103/PhysRevC.77.044608 journal C. Vockenhuber M. Bichler A. Wallner W. Kutschera I. Dillmann F. Käppeler 50 Phys.Rev.,C77,044608 2008 doi:10.1088/0954-3899/35/1/014018 journal A. Wallner 51 J.Phys.G: Nucl.Part.Phys.,35,014018 2008 doi:10.1016/j.nimb.2004.01.093 journal M. Döbeli 52 Nucl.Instr.Meth,B219-220,415 2004 doi:10.1016/j.nimb.2007.01.244 journal M. Suter 53 Nucl.Instr.Meth,B259,165 2007 doi:10.1140/epja/i2006-08-052-3 journal A. Wallner 54 Eur.J.Phys A.,27,337 2006 doi:10.1016/j.nimb.2007.01.207 journal A. Wallner 55 Nucl.Instr.Meth.,B259,677 2007 doi:10.1006/ndsh.2002.0003 journal Z. Chunmei 56 Nucl.Data Sheets,95,59 2002 journal W. Dixon 57 Nucleonics,8,68 1951 misc NIST, Technical report, National Institute of Standards and Technology, unpublished 58 http://www.nist.gov/pml/data/xraycoef/index.cfm doi:10.1016/j.nds.2018.02.002 journal A. Carlson 59 Nucl.Data Sheets,148,143 2018 doi:10.1016/j.nds.2014.04.017 journal A. Carlson 60 Nucl.Data Sheets,118,126 2014 doi:10.1016/j.nds.2014.07.038 journal I. Dillmann 61 Nucl.Data Sheets,120,171 2014 doi:10.1140/epja/i2014-14124-8 journal C. Massimi 62 Eur.Phys.J.,A50,124 2014 doi:10.1103/PhysRevC.81.044616 n_TOF collaboration journal C. Massimi 63 Phys.Rev.,C81,044616 2010 doi:10.1103/PhysRevC.83.034608 journal C. Lederer 64 Phys.Rev.,C83,034608 2011 proc Z. Fülöp P. Jiménez-Bonilla J. Praena contribution 102, 65 Trieste: SISSA Nuclei in the Cosmos XIII, PoS—Proceedings of Science http://pos.sissa.it 2015 journal A. Carlson 66 Kor.J.Nucl.Sci.Tech.,59,1390 2011 misc P. Kubik M. Christl V. Alfimov New primary stan- dard and for AMS at ETH, Annual Report 2009, p 12 67 https://www.ethz.ch/content/dam/ethz/special-interest/phys/particle-physics/ion-beam-physics-dam/images/LIP_annual_ report_2009.pdf doi:10.1103/PhysRevC.52.R2334 journal A. Mengoni T. Otsuka M. Ishihara 68 Phys.Rev.,C52,R2334 1995 misc N. Larson Technical report, ORNL/TM-9179/R8 and ENDF-364/R2, Oak Ridge National Laboratory, 69 https://info.ornl.gov/sites/publications/files/Pub13056.pdf 2683133 SzGeCERN 20210421202132.0 9780792363279 print version 9789048154647 print version 9789401595520 electronic version electronic version 9789401595537 print version DOI 10.1007/978-94-015-9552-0 ebook oai:cds.cern.ch:2683133 cerncds:BOOK eng QA402.5-402.6 519.6 23 Model-based decision support methodology with environmental applications Dordrecht Springer 2000 ebook Mathematical modelling : theory and applications 1386-2960 9 The complexity of issues requiring rational decision making grows and thus such decisions are becoming more and more difficult, despite advances in methodology and tools for decision support and in other areas of research. Globalization, interlinks between environmental, industrial, social and political issues, and rapid speed of change all contribute to the increase of this complexity. Specialized knowledge about decision-making processes and their support is increasing, but a large spectrum of approaches presented in the literature is typically illustrated only by simple examples. Moreover, the integration of model-based decision support methodologies and tools with specialized model-based knowledge developed for handling real problems in environmental, engineering, industrial, economical, social and political activities is often not satisfactory. Therefore, there is a need to present the state of art of methodology and tools for development of model-based decision support systems, and illustrate this state by applications to various complex real-world decision problems. The monograph reports many years of experience of many researchers, who have not only contributed to the developments in operations research but also succeeded to integrate knowledge and craft of various disciplines into several modern decision support systems which have been applied to actual complex decision-making processes in various fields of policy making. The experience presented in this book will be of value to researchers and practitioners in various fields. The issues discussed in this book gain in importance with the development of the new era of the information society, where information, knowledge, and ways of processing them become a decisive part of human activities. The examples presented in this book illustrate how how various methods and tools of model-based decision support can actually be used for helping modern decision makers that face complex problems. Overview of the contents: The first part of this three-part book presents the methodological background and characteristics of modern decision-making environment, and the value of model-based decision support thus addressing current challenges of decision support. It also provides the methodology of building and analyzing mathematical models that represent underlying physical and economic processes, and that are useful for modern decision makers at various stages of decision making. These methods support not only the analysis of Pareto-efficient solutions that correspond best to decision maker preferences but also allow the use of other modeling concepts like soft constraints, soft simulation, or inverse simulation. The second part describes various types of tools that are used for the development of decision support systems. These include tools for modeling, simulation, optimization, tools supporting choice and user interfaces. The described tools are both standard, commercially available, and nonstandard, public domain or shareware software, which are robust enough to be used also for complex applications. All four environmental applications (regional water quality management, land use planning, cost-effective policies aimed at improving the European air quality, energy planning with environmental implications) presented in the third part of the book rely on many years of cooperation between the authors of the book with several IIASA's projects, and with many researchers from the wide IIASA network of collaborating institutions. All these applications are characterized by an intensive use of model-based decision support. Finally, the appendix contains a short description of some of the tools described in the book that are available from IIASA, free of charge, for research and educational purposes. The experiences reported in this book indicate that the development of DSSs for strategic environmental decision making should be a joint effort involving experts in the subject area, modelers, and decision support experts. For the other experiences discussed in this book, the authors stress the importance of good data bases, and good libraries of tools. One of the most important requirements is a modular structure of a DSS that enhances the reusability of system modules. In such modular structures, user interfaces play an important role. The book shows how modern achievements in mathematical programming and computer sciences may be exploited for supporting decision making, especially about strategic environmental problems. It presents the methodological background of various methods for model-based decision support and reviews methods and tools for model development and analysis. The methods and tools are amply illustrated with extensive applications. Audience: This book will be of interest to researchers and practitioners in the fields of model development and analysis, model-based decision analysis and support, (particularly in the environment, economics, agriculture, engineering, and negotiations areas) and mathematical programming. For understanding of some parts of the text a background in mathematics and operational research is required but several chapters of the book will be of value also for readers without such a background. The monograph is also suitable for use as a text book for courses on advanced (Master and Ph.D.) levels for programs on Operations Research, decision analysis, decision support and various environmental studies (depending on the program different parts of the book may be emphasized). Mathematics and statistics SPR201907 SzGeCERN Mathematical Physics and Mathematics SPR Software engineering SPR Environmental sciences SPR Environmental economics SPR Software EngineeringProgramming and Operating Systems SPR Environment, general SPR Environmental Economics SPR Mathematical Modeling and Industrial Mathematics BOOK Wierzbicki, Andrzej ed. Makowski, Marek ed. Wessels, Jaap ed. SPR n 201928 21 PUBLIC https://catalogue.library.cern/legacy/2683133 BOOK MIGRATED 2683115 SzGeCERN 20210421202134.0 9781138589018 print version, hardback 9780429958496 electronic version electronic version 9780429491634 electronic version electronic version oai:cds.cern.ch:2683115 cerncds:BOOK DOI 10.1201/9780429491634 ebook EBL 5790793 eng 614.8 Cossairt, Donald J Accelerator radiation physics for personnel and environmental protection Boca Raton, FL CRC Press 2019 306 p paper ebook Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- Authors -- 1. Basic Radiation Physics Concepts and Units of Measurement -- 1.1 Introduction -- 1.2 Units of Measure and Physical Quantities -- 1.3 Radiological Standards -- 1.4 Units of Measure for Radiological Quantities -- 1.4.1 Synopsis of the 1973 Radiation Protection System -- 1.4.2 Synopsis of the 1990 Radiation Protection System -- 1.4.3 Values of Radiation Protection Quantities -- 1.5 Physical Constants and Atomic and Nuclear Properties -- 1.6 Summary of Relativistic Relationships -- 1.7 Energy Loss by Ionization -- 1.8 Multiple Coulomb Scattering -- Problems -- 2. General Considerations for Accelerator Radiation Fields -- 2.1 Introduction -- 2.2 Primary Radiation Fields at Accelerators: General Considerations -- 2.3 Theory of Radiation Transport -- 2.3.1 General Considerations of Radiation Transport -- 2.3.2 The Boltzmann Equation -- 2.4 The Monte Carlo Method -- 2.4.1 General Principles of the Monte Carlo Technique -- 2.4.2 Monte Carlo Example: A Sinusoidal Angular Distribution of Beam Particles -- 2.5 Review of Magnetic Deflection and Focusing of Charged Particles -- 2.5.1 Magnetic Deflection of Charged Particles -- 2.5.2 Magnetic Focusing of Charged Particles -- Problems -- 3. Prompt Radiation Fields due to Electrons -- 3.1 Introduction -- 3.2 Unshielded Radiation Produced by Electron Beams -- 3.2.1 Dose Rate in a Direct Beam of Electrons -- 3.2.2 Bremsstrahlung -- 3.2.3 Neutrons -- 3.2.3.1 Giant Photonuclear Resonance Neutrons -- 3.2.3.2 Quasi-Deuteron Neutrons -- 3.2.3.3 High-Energy Particles -- 3.2.3.4 Production of Thermal Neutrons -- 3.2.4 Muons -- 3.2.5 Summary of Unshielded Radiation Produced by Electron Beams -- 3.3 Electromagnetic Cascade: Introduction -- 3.4 Electromagnetic Cascade Process -- 3.4.1 Longitudinal Shower Development. 3.4.2 Lateral Shower Development -- 3.5 Shielding of Hadrons Produced by Electromagnetic Cascade -- 3.5.1 Neutrons -- 3.5.2 High-Energy Particles -- 3.6 Synchrotron Radiation -- 3.6.1 General Discussion of the Phenomenon -- 3.6.2 Insertion Devices -- 3.6.3 Radiation Protection Issues Specific to Synchrotron Radiation Facilities -- 3.6.3.1 Operating Modes -- 3.6.3.2 Gas Bremsstrahlung: Straight Ahead -- 3.6.3.3 Gas Bremsstrahlung: Secondary Photons -- 3.6.3.4 Gas Bremsstrahlung: Neutron Production Rates -- 3.6.3.5 Importance of Ray Tracing -- Problems -- 4. Prompt Radiation Fields due to Protons and Ions -- 4.1 Introduction -- 4.2 Radiation Production by Proton Beams -- 4.2.1 The Direct Beam: Radiation Hazards and Nuclear Interactions -- 4.2.2 Neutrons and Other Hadrons at High Energies -- 4.2.2.1 Eo &lt -- 10 MeV -- 4.2.2.2 10 &lt -- Eo &lt -- 200 MeV -- 4.2.2.3 200 MeV &lt -- Eo&lt -- 1.0 GeV: "Intermediate" Energy -- 4.2.2.4 Eo &gt -- 1.0 GeV: "High"-Energy Region -- 4.2.3 Sullivan's Formula -- 4.2.4 Muons -- 4.3 Primary Radiation Fields at Ion Accelerators -- 4.3.1 Light Ions (Ion Mass Number A &lt -- 5) -- 4.3.2 Heavy Ions (Ions with A &gt -- 4) -- 4.4. Hadron (Neutron) Shielding for Low-Energy Incident Protons (Eo &lt -- 15 MeV) -- 4.5 Limiting Attenuation at High Energy -- 4.6 Intermediate- and High-Energy Shielding: Hadronic Cascade -- 4.6.1 Hadronic Cascade from a Conceptual Standpoint -- 4.6.2 Simple One-Dimensional Cascade Model -- 4.6.3 Semiempirical Method: Moyer Model for a Point Source -- 4.6.4 Moyer Model for a Line Source -- 4.7 Use of Monte Carlo Shielding Codes for Hadronic Cascades -- 4.7.1 Examples of Results of Monte Carlo Calculations -- 4.7.2 General Comments on Monte Carlo Star-to-Dose Conversions -- 4.7.3 Shielding against Muons at Proton Accelerators -- Problems -- 5. Unique Low-Energy Prompt Radiation Phenomena. 5.1 Introduction -- 5.2 Transmission of Photons and Neutrons through Penetrations -- 5.2.1 Albedo Coefficients -- 5.2.1.1 Usage of Photon Albedo Coefficients -- 5.2.2 Neutron Attenuation in Labyrinths: General Considerations -- 5.2.3 Attenuation in the First Legs of Straight Penetrations -- 5.2.4 Attenuation in Second and Successive Legs of Straight Penetrations -- 5.2.5 Attenuation in Curved Tunnels -- 5.2.6 Attenuation beyond the Exit -- 5.2.7 Determination of the Source Factor -- 5.3 Skyshine -- 5.3.1 Simple Parameterizations of Neutron Skyshine -- 5.3.2 A More Rigorous Treatment -- 5.3.3 Examples of Experimental Verifications -- Problems -- 6. Shielding Materials and Neutron Energy Spectra -- 6.1 Introduction -- 6.2 Discussion of Shielding Materials Commonly Used at Accelerators -- 6.2.1 Earth -- 6.2.2 Concrete -- 6.2.3 Other Hydrogenous Materials -- 6.2.3.1 Polyethylene and Other Materials That Can Be Borated -- 6.2.3.2 Water, Wood, and Paraffin -- 6.2.4 Iron -- 6.2.5 High Atomic Number Materials: Lead, Tungsten, and Uranium -- 6.2.6 Miscellaneous Materials: Beryllium, Aluminum, and Zirconium -- 6.3 Neutron Energy Spectra outside of Shields -- 6.3.1 General Considerations -- 6.3.2 Examples of Neutron Spectra due to Incident Electrons -- 6.3.3 Examples of Neutron Spectra due to Low- and Intermediate-Energy Protons -- 6.3.4 Examples of Neutron Spectra due to High-Energy Protons -- 6.3.5 Leakage of Low-Energy Neutrons through Iron Shielding -- 6.3.6 Neutron Spectra due to Ions -- 6.3.7 Neutron Fluence and Dosimetry -- 7. Induced Radioactivity in Accelerator Components -- 7.1 Introduction -- 7.2 Fundamental Principles of Induced Radioactivity -- 7.3 Activation of Components at Electron Accelerators -- 7.3.1 General Phenomena -- 7.3.2 Results for Electrons at Low Energies -- 7.3.3 Results for Electrons at High Energies. 7.4 Activation of Components at Proton and Ion Accelerators -- 7.4.1 General Phenomena -- 7.4.2 Methods of Systematizing Activation due to High-Energy Hadrons -- 7.4.2.1 Gollon's Rules of Thumb -- 7.4.2.2 Barbier Danger Parameter -- 7.4.3 Uniform Irradiation of Walls of an Accelerator Enclosure -- Problems -- 8. Induced Radioactivity in Environmental Media -- 8.1 Introduction -- 8.2 Airborne Radioactivity -- 8.2.1 Production -- 8.2.2 Accounting for Ventilation -- 8.2.3 Propagation of Airborne Radionuclides in the Environment -- 8.2.3.1 Meteorological Considerations -- 8.2.4 Radiation Protection Standards for Airborne Radioactivity -- 8.2.4.1 Radiation Protection Standards for Occupational Workers -- 8.2.4.2 Radiation Protection Standards for Members of the Public -- 8.2.4.3 Example Numerical Values of the Derived Air Concentrations and Derived Concentration Standards -- 8.2.4.4 Mixtures of Radionuclides -- 8.2.5 Production of Airborne Radionuclides at Electron Accelerators -- 8.2.6 Production of Airborne Radionuclides at Proton Accelerators -- 8.3 Water and Geological Media Activation -- 8.3.1 Water Activation at Electron Accelerators -- 8.3.2 Water and Geological Media Activation at Proton Accelerators -- 8.3.2.1 Water Activation at Proton Accelerators -- 8.3.2.2 Geological Media Activation -- 8.3.3 Regulatory Standards -- 8.3.4 Propagation of Radionuclides through Geological Media -- 8.3.4.1 General Considerations -- 8.3.4.2 Simple Single Resident Model -- 8.3.4.3 Concentration Model -- 8.3.4.4 Example of Application: Jackson Model -- Problems -- 9. Radiation Protection Instrumentation at Accelerators -- 9.1 Introduction -- 9.2 Counting Statistics -- 9.3 Special Considerations for Accelerator Environments -- 9.3.1 Large Range of Flux Densities, Absorbed Dose Rates, etc. 9.3.2 Possible Large Instantaneous Values of Flux Densities, Absorbed Dose Rates, etc. -- 9.3.3 Large Energy Domain of Neutron Radiation Fields -- 9.3.4 Presence of Mixed Radiation Fields -- 9.3.5 Directional Sensitivity -- 9.3.6 Sensitivity to Features of Accelerator Environment Other than Ionizing Radiation -- 9.4 Standard Instruments and Dosimeters -- 9.4.1 Ionization Chambers -- 9.4.2 Geiger-Müller Detectors -- 9.4.3 Thermoluminescent Dosimeters -- 9.4.4 Optically Stimulated Luminescence Dosimeters -- 9.4.5 Nuclear Track Emulsions -- 9.4.6 Track Etch Dosimeter -- 9.4.7 CR-39 Dosimeters -- 9.4.8 Bubble Detectors -- 9.5 Specialized Detectors -- 9.5.1 Thermal Neutron Detectors -- 9.5.1.1 Boron-10 -- 9.5.1.2 Lithium-6 -- 9.5.1.3 Helium-3 -- 9.5.1.4 Cadmium -- 9.5.1.5 Silver -- 9.5.2 Moderated Neutron Detectors -- 9.5.2.1 Spherical Moderators, Bonner Spheres, and Related Detectors -- 9.5.2.2 Long Counters -- 9.5.3 Activation Detectors -- 9.5.4 Special Activation Detectors for Very High-Energy Neutrons -- 9.5.5 Proton Recoil Counters -- 9.5.6 Tissue Equivalent Proportional Chambers and Linear Energy Transfer Spectrometry -- 9.5.7 Recombination Chamber Technique -- 9.5.8 Counter Telescopes -- Problems -- Appendix: Synopses of Common Monte Carlo Codes and Examples for High-Energy Proton-Initiated Cascades -- References -- Index. EBLlink deleted TAF202003 SzGeCERN Health Physics and Radiation Effects BOOK Quinn, Matthew CERN Central Library 614.8 COS 201907 TAF h 201929 21 https://catalogue.library.cern/legacy/2683115 BOOK MIGRATED 2683048 SzGeCERN 20210421202141.0 9783319918112 print version 9783319918129 electronic version electronic version 9783319918136 print version DOI 10.1007/978-3-319-91812-9 ebook oai:cds.cern.ch:2683048 cerncds:BOOK eng QC1-75 530 23 Shaver, Peter The rise of science from prehistory to the far future Cham Springer 2018 ebook 1. Introduction -- 2. A Brief History -- 3. Roads to Knowledge -- 4. Science Today -- 5. Into the Future -- Epilogue -- Further Reading -- Acknowledgements -- Name Index -- Subject Index. How did science rise up to so dramatically change our world, and where will it take us in the future? This book gives a unique and broad overview. A brief history reveals the major phases and turning points in the rise of science from the earliest civilizations to the present: How was science ‘discovered’? Why did it disappear a few times? When did it become ‘modern’? A critical assessment examines how science actually ‘happens’: the triumphs, the struggles, the mistakes and the luck. Science today is endlessly fascinating, and this book explores the current exponential growth, curiosity-driven vs. goal-oriented research, big and small science, the support of science, the relation of science to society, philosophy and religion, and the benefits and dangers of science. Finally a glimpse into the future: Will the current pace of science continue? Will we ever go backwards (again)? What remains to be discovered? Can science ever be complete? What can we imagine for the distant future? This book will be of wide interest to the general reader as well as to students and working scientists. This book provides a fresh, unique and insightful coverage of the processes of science, its impact on society and our understanding of the world, based on the author’s experience gained from a lifetime in science. Ron Ekers, FRS, CSIRO Fellow, CSIRO Astronomy & Space Science, Former President of the International Astronomical Union Peter Shaver's comprehensive and lively survey deserves a wide readership. Scientific discoveries are part of our global culture and heritage, and they underpin our lives. It's fascinating to learn how they were made, and how they fit into the grand scheme. This book isn't just for scientists - it's written for all of us. Martin Rees, FRS, Astronomer Royal, Former President of the Royal Society and Former Master of Trinity College, Cambridge This book offers a wonderfully concise and accessible insight into science – its history, breadth and future prospects. Peter Shaver gives a feeling for what it actually means to be a practicing scientist. Stephen Simpson, FRS, Academic Director, Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney. Physics and astronomy SPR201907 SzGeCERN Science in General SPR History SPR Science SPR Life sciences SPR Medicine SPR Popular Science in Physics SPR History of Science SPR Philosophy of Science SPR Popular Science in Astronomy SPR Popular Science in Nature and Environment SPR Popular Science in Medicine and Health BOOK SPR n 201928 201907 21 PUBLIC https://catalogue.library.cern/legacy/2683048 BOOK MIGRATED 2682273 SzGeCERN 20200503232035.0 9781906610524 print version 9781908284303 electronic version electronic version oai:cds.cern.ch:2682273 cerncds:BOOK EBL 1990522 eng HD30 338.762;658.4/08 Hind, Patricia Sustainability pocketbook Alresford Management Pocketbooks 2013 130 p Management pocketbooks Cover -- Copyright Notice -- Enjoy the read! -- Title Page -- Publisher -- CONTENTS -- WHAT IS SUSTAINABILITY? -- THE BIG PICTURE -- DEFINITIONS -- IMPORTANCE FOR THE FUTURE -- THREE DIMENSIONS OF SUSTAINABILITY -- PEOPLE, PLANET & PROFIT -- SOME SUSTAINABILITY FACTS -- SIGNS THAT WE NEED TO THINK SUSTAINABLY -- CONTINUAL CHANGE -- THE BUSINESS CASE FOR SUSTAINABILITY -- ADDING VALUE TO YOUR BUSINESS -- 10 WAYS TO ADD VALUE -- THREE KEY DELIVERABLES -- REDUCING YOUR COSTS THROUGH OPERATIONS -- REDUCING YOUR COSTS THROUGH PEOPLE -- GENERATING MORE BUSINESS -- ORGANISING YOUR SUSTAINABILITY THINKING -- INTRODUCTION -- FOUR APPROACHES -- THE PYRAMID OF RESPONSIBILITY -- IS THIS THE RIGHT APPROACH FOR YOU? -- THREE MORE FRAMEWORKS -- BUSINESS IN THE COMMUNITY -- UNITED NATIONS GLOBAL COMPACT -- THE TRIPLE BOTTOM LINE -- IS THIS THE RIGHT APPROACH FOR YOU? -- SUMMARY -- FINDING YOUR SUSTAINABILITY FOCUS -- WHERE ARE YOU NOW? -- STAGES OF DEVELOPMENT TOWARDS SUSTAINABILITY -- STAGES OF DEVELOPMENT -- TOP TIPS -- 1 CHALLENGE YOUR FUNDAMENTAL ASSUMPTIONS -- 2 DEVELOP A STRATEGY -- 3 IDENTIFY YOUR STAKEHOLDERS -- 4 FIND A BUDDY OR TWO -- 5 ENLIST AS MANY 'CHAMPIONS' AS YOU CAN -- 6 DEVELOP A DISCIPLINED APPROACH -- 7 CONSTANTLY CHALLENGE PROCEDURES -- PUTTING SUSTAINABILITY INTO PRACTICE -- PREPARING TO IMPLEMENT -- PRACTICAL IDEAS -- WORKPLACE IDEAS -- ENVIRONMENTAL IDEAS -- MARKETPLACE IDEAS -- COMMUNITY IDEAS -- MAKING SUSTAINABILITY STICK -- THE FOUR Ms -- MOTIVATE - THROUGH YOUR PEOPLE -- MOTIVATE - THROUGH YOUR LEADERSHIP -- MEASURE -- MONITOR -- MAINTAIN -- SUMMING IT ALL UP -- IN IT FOR THE LONG TERM -- TAKING ACTION -- RELEVANT & APPROPRIATE -- ALL IN IT TOGETHER -- Suggested Reading -- About the Author -- Title Listings -- Order Form. Managing sustainability is fast becoming critical to business success - to meeting customer and stakeholder expectations. The Sustainability Pocketbook is for managers who want to get involved in this area but are not sure where to start or what they can realistically do. You may not have direct responsibility for environmental issues within your job, but you can make a difference. Starting by defining and demystifying the topic, the Sustainability Pocketbook sets out a model for sustainability within six main areas of activity (environment, workplace, supply chain, marketplace, stakeholders and community). Full of useful frameworks and relevant topical cases from around the world, it encourages you to challenge current thinking and practices in order to create and deliver an action plan. If you want to find practical tips to help you embed sustainability into your everyday work, this is the place to start. https://cds.cern.ch/auth.py?r=EBLIB_P_1990522 ebook ebook EBL201907 SzGeCERN Information Transfer and Management BOOK n 201928 21 PUBLIC BOOK DELETED 2682272 SzGeCERN 20200128202339.0 9781849808231 print version 9781849808248 electronic version electronic version oai:cds.cern.ch:2682272 cerncds:BOOK EBL 1934338 eng HB615 -- .K97 2015eb 658.421 Kyrö, P Handbook of entrepreneurship and sustainable development research Cheltenham Edward Elgar Publishing 2015 467 p Research handbooks in business and management Cover -- Copyright -- Contents -- Contributors -- Foreword -- Acknowledgements -- Introduction: expanding the field of research on entrepreneurship and sustainable development -- PART I HISTORICAL ROOTS AND CURRENT CONCEPTUAL APPROACHES TO THE ALLIANCE BETWEEN ENTREPRENEURSHIPAND SUSTAINABLE DEVELOPMENT -- 1. To grow or not to grow?Entrepreneurship and sustainable development -- 2. Sustainable entrepreneurship: what it is -- PART II THE TRANSFORMATIVE APPROACH TO ENTREPRENEURSHIP FOR A SUSTAINABLES OCIETY -- 3. Socially sustainable entrepreneurship: a case of entrepreneurial practice in social change and stability -- 4. Entrepreneurship: the missing link for democratization and development in fragile nations? -- 5. Organizing societal entrepreneurship: a cross-sector challenge -- 6. Public vants as sustainability policy entrepreneurs in Australia: the issues and outcomes -- PART III MOTIVATIONAL AND INTENTIONAL APPROACH TO ENTREPRENEURSHIP AND SUSTAINABLE DEVELOPMENT -- 7. Recognizing first-person opportunities for sustainable development -- 8. Cooking up solutions for climate change: the role of sustainable entrepreneurs -- 9. An exploratory model of the environmental intention of SME directors in Tunisia -- 10. What motivates hotel managers to become ecopreneurs: a case study on the Spanish tourism sector -- 11. The impact of micro-firm everyday practices on sustainable development in local communities -- PART IV INDUSTRY-AND ECONOMY-ORIENTED APPROACHES TO ENTREPRENEURSHIP AND SUSTAINABLE DEVELOPMENT -- 12. The renewable energy industry: competitive landscapes and entrepreneurial roles -- 13. Commercializing clean technology innovations: the emergence of new business in an agency-structure perspective -- 14. David versus Goliath: how eco-entrepreneurs transform global ecosystems. 15. Market-driven capabilities and sustainability of alliances by agricultural small and medium-sized enterprises -- 16. Entrepreneurial functions by organic farmers -- 17. The entrepreneurial contribution of foreign-owned companies to the sustainable development of a small developing host economy -- Index. Allying and expanding the diverse fields of entrepreneurship and sustainable development research is a modern day imperative. This Handbook paints an illuminating picture of the historic and current understanding of the bond between entrepreneurship and sustainable development. The authors explore the basic contradictions between the two fields and outline the transformative role entrepreneurship can play in achieving sustainable development. More than 50 expert researchers and their research communities from 16 countries across Europe, Africa, Australia, North America, and the Middle East provide original and informative contributions on a variety of issues, from women's empowerment to climate change and organic farmers to ecotourism. https://cds.cern.ch/auth.py?r=EBLIB_P_1934338 ebook ebook EBL201907 Commerce, Economics, Social Science SzGeCERN BOOK n 201928 201907 21 PUBLIC BOOK DELETED 2682271 SzGeCERN 20191219215658.0 9781784412081 electronic version electronic version 9781784412098 print version oai:cds.cern.ch:2682271 cerncds:BOOK EBL 1865245 eng HF5001-6182 658.40355 Lawrence, Kenneth D Advances in business and management forecasting Bingley Emerald Publishing 2014 188 p Advances in business and management forecasting 10 Front Cover -- Advances in Business and Management Forecasting -- Copyright page -- Editorial Advisory Board -- Contents -- List of Contributors -- Part I: Forecasting Applications in Finance -- Components of a Decomposition Forecast of Stock Prices with Excel -- Introduction -- The Models -- Linear Trend -- Moving Averages -- Periodicity -- Shocks -- Conclusions, Recommendations, and Limitations -- References -- Data Source -- Forecasting the Net Asset Value of PRWCX -- Introduction -- PRWCS T. Rowe Price Capital Appreciation Fund: The Moderate Allocation Fund -- Definition of Unit to be Forecast: Net Asset Value (NAV) -- Time ies Forecasting Method -- Exponential Smoothing -- Trend Models -- Decomposition Modeling -- Average Models -- Winter's Method -- ARIMA Model -- Autoregressive Models -- Moving Average Model -- Mixed Autoregressive and Moving Average Models -- Forecasting Results -- References -- Using Prediction Intervals to Improve Information Quality of Bankruptcy Prediction Models -- Introduction -- Prediction (Confidence) Intervals and Hypotheses -- Samples and Data -- Analysis and Results -- Conclusion -- Acknowledgments -- References -- Part II: Forecasting Applications in Operations and Technology -- Comparison of Technological Performance between Digital Single-Lens Reflex Cameras and Mirrorless Cameras -- Introduction -- Research Objective and Scope -- Overall Research Objective -- Scope of the Research -- Type of Cameras Considered -- Units Measured -- Analysis -- Data Gathering -- Methodology -- Results -- Discussion -- Limitations and Future Research -- Conclusion -- References -- Premium for vice Contracts for Damage Protection -- Introduction -- Model Development -- Product Value Distribution -- vice Quality -- Premium Function -- Customer Preferences -- Optimal Premium -- Results -- Conclusions -- References. Measuring Scale Efficiency in Data Envelopment Analysis Considering Environmental Influences -- Introduction -- Literature Review -- Methodology -- Measuring Technical Efficiency and Scale Efficiency by Using DEA Models -- Five-Stage DEA Model -- Stage 1: BCC Model -- Stage 2: CCR Model -- Stage 3: Using the SFA Model to Decompose Slacks -- Stage 4: Adjusted BCC Model -- Stage 5: Adjusted CCR Model -- Problem Description of Scale Efficiency of Chinese Universities -- Sample and Data Sources -- Selection of Input and Output Indicators -- Selection of Environmental Indicators -- The Degree of Social Needs of Different Subjects -- The Capacity of Universities -- The Proportion of Universities Students of the Total Number -- The Number of Examinees in the Provinces Where the Universities Locate -- Ranking of Universities -- Empirical Analysis -- The Empirical Results of the First Two Stages of the Traditional DEA -- The Results of SFA Regression Analysis -- The Empirical Results After Adjustment -- Development Model and Efficiency Improving Directions of China's Top Universities. -- Summary and Conclusion -- Acknowledgments -- References -- Evaluating a Bayesian Approach to Forecasting Stocking Spare Parts That Require Periodic Replenishment -- Introduction -- Bayesian Approaches to Forecasting Demand -- Bayesian Model Formulation -- Bayesian Theory -- Simulation Study Description Results -- Baseline Demand Simulations for Regular Demand -- Slow Moving or Intermittent Demand Simulations -- Simulation Discussion -- Conclusions -- References -- Part III: Forecasting Methods -- Reducing Bias in Hierarchical Forecasting -- Introduction -- Bias in Hierarchical Forecasting -- Case Study -- Stage 1: Development of the Corrected Forecasts for Months 2-12 -- Stage 2: Development of the Corrected Segment Forecasts for Months 13-18. Stage 3: Development of the Composite Forecasts for Months 13-18 -- Discussion -- References -- Metrics for and Analysis of Variables for Wiki Use: A Case Study -- Introduction -- Wikis -- Outline of This Paper -- Some Previous Research on Wikis -- Research using Wikis in Enterprises -- Wiki Metrics -- Accenture and Accenture's Use of Wikis -- Arthur Andersen and Accenture (Jeffery, 2010 and Wikipedia) -- Accenture's Use of Wikis (Peeters, 2009) -- Data -- Data Overview and Use Behavior -- Three Models from Different Potential Perspectives -- Findings -- Correlation Analysis -- Regression Analysis -- Discussion and Comparison to Other Data -- Summary, Contributions and Extensions -- Contributions -- Extensions -- Notes -- References -- A Comparison of Seasonal Regression Forecasting Models for the U.S. Beer Import Market -- Introduction -- Purpose -- Seasonal Forecasting and Literature Review -- Import Beer Sales: Extension and Comparison of Seasonal Models -- Semi-Annual -- Quarterly -- Monthly -- Interpretation and Analysis of Regression Outputs -- Construction of the Seasonal Regression Equation and Error Calculation -- Conclusions, Recommendations, and Limitations -- References -- Data Source. The objective of this research annual is to present state-of-the-art studies in the application of forecasting methodologies to such areas as sales, marketing and strategic decision making. It is the hope and direction of this research annual to become an applications and practitioner oriented publication. Klimberg, Ronald K https://cds.cern.ch/auth.py?r=EBLIB_P_1865245 ebook ebook EBL201907 Commerce, Economics, Social Science SzGeCERN BOOK n 201928 201907 21 PUBLIC BOOK DELETED 2682268 SzGeCERN 20201117212509.0 9780731407897 print version 9781118319420 electronic version electronic version oai:cds.cern.ch:2682268 cerncds:BOOK EBL 865195 eng HD62.5 333.33;658.4083 Reed, Richard A greener house the sustainable property investor's guide to buying, building and renovating Milton Wiley 2008 132 p Cover -- Contents -- Title -- Copyright -- About the Authors -- Acknowledgements -- Introduction -- Part I: The Theory -- Chapter 1: Understanding Value -- Property Value -- How Can you Add More Value Than a Sustainable Item Costs? -- Key Summary Points -- Chapter 2: What Affects Property Value? -- Market Perceptions -- Conformity -- Supply and Demand in the Sustainable Housing Market -- Balance -- Highest and Best Use -- Under- and Over-Capitalisation -- Synergy -- Utility -- Scarcity -- Desire -- Effective Purchasing Power -- Competition -- Externalities and Property Value -- Social Forces -- Economic Forces -- Government Forces -- Environmental Forces -- Depreciation and Obsolescence -- Transport Energy -- Embodied Energy -- Renewable Energy -- Carbon Trading -- Life Cycle or Whole Life Costing -- Durability and Maintenance -- Water and Housing -- Adaptability -- Key Summary Points -- Chapter 3: A Matter of Health -- Intangible Benefits of Sustainability -- Health, Wellbeing and Value -- Creating a Healthy Building -- Key Summary Points -- Chapter 4: Government and Sustainability -- Commonwealth Legislation -- State and Territory Legislation -- Key Summary Points -- Part II: Putting Theory into Practice -- Chapter 5: Energy Options -- Solar Energy -- Key Summary Points -- Chapter 6: Existing Properties -- Improving Your Windows -- A Room-by-room Analysis -- Which Options are For Me? -- Future-Proofing Your Home -- Adding Value to Investment Properties -- Sustainable Renovations -- Key Summary Points -- Chapter 7: New Properties -- Environmental Rating Schemes -- Issues For New Homes -- Key Summary Points -- Part III: Looking To the Future -- Chapter 8: Alternative Building Options -- Adobe Housing -- Rammed Earth Housing -- Straw Bale Construction -- Underground Housing -- Value of Unconventional Houses -- Key Summary Points. Chapter 9: Where to Now? -- Future Links with Value -- Can you Afford to Ignore Sustainability? -- The Next Steps to Take -- Appendix A: Glossary of Terms -- Appendix B: Decision-Making Flowchart -- Appendix C: Sustainability Checklist -- Appendix D: Useful Websites -- Index. How green should you go? If you would like to make a positive impact on the environment but are concerned about the financial outlay, A Greener House is for you. Property experts Richard Reed and Sara Wilkinson will show you how to decide which sustainable measures are suited to your property, and evaluate the cost implications of installing them. You'll learn how to design a new home that exceeds the highest energy-efficiency ratings available, protect your property from obsolescence and outdating, and evaluate market trends in your neighbourhood. If you own property and would like to increase its value, you can't afford to ignore sustainability. This book will show you how to reduce your environmental footprint while making the most of your greatest financial asset. We all agree that we can't continue to consume the world's resources at the rate that we are now. We must start living more sustainably - and what better place to start than at home? Most of us want to play our part, but we're put off by financial concerns. But what if the cost of building or remodelling a greener house could be recovered in the value of your home when you sell?. Wilkinson, Sara https://cds.cern.ch/auth.py?r=EBLIB_P_865195 ebook ebook EBL201907 SzGeCERN Commerce, Economics, Social Science BOOK n 201928 21 PUBLIC BOOK DELETED 2681944 SzGeCERN 20201005211409.0 Vukobratovich, Daniel BOOK SzGeCERN Other Fields of Physics Opto-Mechanical Systems Design, Fourth Edition is different in many ways from its three earlier editions: coauthor Daniel Vukobratovich has brought his broad expertise in materials, opto-mechanical design, analysis of optical instruments, large mirrors, and structures to bear throughout the book; Jan Nijenhuis has contributed a comprehensive new chapter on kinematics and applications of flexures; and several other experts in special aspects of opto-mechanics have contributed portions of other chapters. An expanded feature―a total of 110 worked-out design examples―has been added to several chapters to show how the theory, equations, and analytical methods can be applied by the reader. Finally, the extended text, new illustrations, new tables of data, and new references have warranted publication of this work in the form of two separate but closely entwined volumes. The first volume, Design and Analysis of Opto-Mechanical Assemblies, addresses topics pertaining primarily to optics smaller than 50 cm aperture. It summarizes the opto-mechanical design process, considers pertinent environmental influences, lists and updates key parameters for materials, illustrates numerous ways for mounting individual and multiple lenses, shows typical ways to design and mount windows and similar components, details designs for many types of prisms and techniques for mounting them, suggests designs and mounting techniques for small mirrors, explains the benefits of kinematic design and uses of flexures, describes how to analyze various types of opto-mechanical interfaces, demonstrates how the strength of glass can be determined and how to estimate stress generated in optics, and explains how changing temperature affects opto-mechanical assemblies. The second volume, Design and Analysis of Large Mirrors and Structures, concentrates on the design and mounting of significantly larger optics and their structures, including a new and important topic: detailed consideration of factors affecting large mirror performance. The book details how to design and fabricate very large single-substrate, segmented, and lightweight mirrors; describes mountings for large mirrors with their optical axes in vertical, horizontal, and variable orientations; indicates how metal and composite mirrors differ from ones made of glass; explains key design aspects of optical instrument structural design; and takes a look at an emerging technology―the evolution and applications of silicon and silicon carbide in mirrors and other types of components for optical applications h 201928 This book can be consulted by contacting: Mateusz Sosin EN-SMM-HPA Opto-mechanical systems design two volume set 4th ed. Boca Raton, FL CRC Press 2015 9781439839775 print version, paperback oai:cds.cern.ch:2681944 cerncds:BOOK Yoder, Paul eng 21 2738265 BOOK DELETED 2681815 SzGeCERN 20210421202247.0 9783030117313 print version 9783030117320 print version 9783030117337 electronic version electronic version DOI 10.1007/978-3-030-11733-7 ebook oai:cds.cern.ch:2681815 cerncds:BOOK eng QC176.8.N35 T174.7 620.5 23 Raza, Hassan Freshman lectures on nanotechnology Cham Springer 2019 ebook Undergraduate lecture notes in physics 2192-4791 Introduction -- Particles, waves and duality -- Atomic Mater -- Atomic Structure and Interactions -- Electronic Structure -- Nanoelectronics -- DOS and Dimensionality -- Spintronics -- Nanophotonics -- Nanofabrication -- Nanocharacterization -- Safety, Health, Environmental and Social Impact. Nanotechnology is the art, science, and engineering of designing materials, devices, and systems at the nanoscale from bottom-up and/or top-down approaches. The material properties at the nanoscale are governed by quantum mechanics, and hence are drastically different than those at the macro/micro scale. It is thus no surprise, that nanotechnology has led to a scientific and technological revolution. This book provides a gentle introduction to the field of nanotechnology for first-year undergraduate students. It not only covers the fundamental scientific concepts in a tutorial fashion, but also provides an overview of applications in nanoelectronics, spintronics, nanophotonics, nanofabrication and nanocharacterization. End of chapter research assignments focus on nanomanufacturing, computing and communication, renewable energy, defense applications, food processing and agriculture, automobile and aerospace technology, nanobiotechnology and bionanotechnology, industrial and consumer applications. Finally, the topics related to safety, health, and societal impact of nanotechnology are discussed. . Physics and astronomy SPR201907 SzGeCERN Engineering SPR Nanotechnology SPR Optical materials SPR Nanoscale Science and Technology SPR Nanotechnology and Microengineering SPR Optics, Lasers, Photonics, Optical Devices SPR Optical and Electronic Materials SPR Energy Harvesting BOOK SPR n 201927 201907 21 PUBLIC https://catalogue.library.cern/legacy/2681815 BOOK MIGRATED 2681702 SzGeCERN 20210421202251.0 9781461484141 electronic version electronic version DOI 10.1007/978-1-4614-8414-1 ebook oai:cds.cern.ch:2681702 cerncds:BOOK eng QA276-280 23 519.5 Handbook of scan statistics New York, NY Springer 2019 ebook Living reference work Preface -- I. History and Early Developments -- II. Methods and Techniques in Research and Scan Statistics -- III. One Dimensional Scan Statistics -- IV. Two and Three Dimensional Scan Statistics -- V. Biological Sciences -- VI. Biosurveillance and Reconnaissance -- VII. Engineering and Physical Sciences -- VIII. Ecology and Environmental Sciences -- IX. Information Sciences -- X. Medical Sciences -- XI. Public Health -- XII. Reliability and Quality Control -- XIII. Social Sciences -- XIV. Veterinary and Animal Science. The specialized field of scan statistics, fathered by Joseph Naus around 1999, burgeoned rapidly to prominence in the field of applied probability and statistics. In additional to challenging theoretical probelms, scan statistics has exciting applications in many areas of science and technologyu including archaelogy, astronomy, physics, bioinformatics, and food sciences, just to name a few. In many fields, decision makers give a great deal of weight to clusters of events. Public Health investigators look for common cause factors to explain clusters of, for example, cancer. Molecular biologists look for palindrome clusters in DNA for clues as to the origin of replication viruses. Telecommunication engineers design capacity to accommodate clusters of calls being dialed simultaneously to a switchboard. Quality control experts investigate clusters of defects. The probabilities of different types of clusters  under various conditions are tools of the physical, natural, and social sciences. Scan statistics arise naturally in the scanning of time and space, seeking clusters of events. It is therefore no surprise that scan statistics is a major area of research in probability and statistics in the 21st century. In the last 5 years about 1600 hits appear on Google Scholar referencing the extensive activity in scan statistics and the breadth of the application. (Since 2010, about 482 hits are recorded in Google scholar.) The Handbook of Scan Statistics in two volumes is intended for researchers in probability and statistics and scientists in several areas including biology, engineering, health, medical, and social sciences. It will be of great value to graduate students in statistics and in all areas where scan statistics are used. Mathematics and statistics SPR201907 SzGeCERN Mathematical Physics and Mathematics SPR Statistics for Social Sciences, Humanities, Law BOOK Glaz, Joseph ed. Koutras, Markos ed. 201907 SPR n 201927 21 PUBLIC https://catalogue.library.cern/legacy/2681702 BOOK MIGRATED 2686703 20250120183332.0 oai:cds.cern.ch:2686703 cerncds:FULLTEXT CERN-STUDENTS-Note-2019-062 eng Syc, Kevin AUTHOR|(CDS)2676186 AUTHOR|(SzGeCERN)839182 CERN kevin.syc@cern.ch Development of the Detector Control System for the LHCb RICH Upgrade 2019 CERN Geneva 16 Aug 2019 LHCb is one of the four main experiments running at the Large Hadron Collider (LHC). Its main purpose is to perform precise measurements to study CP violation and rare decays of b and c quarks. The RICH detectors are crucial components in identifying these decays by providing identification of charged hadrons. The LHCb experiment is currently undergoing an upgrade during the long shutdown (2019-2020) in order to run with a five-fold increase in the instantaneous luminosity. The LHCb detector will be readout at the full LHC bunch-crossing rate of 40MHz. This will allow to fully exploit the delivered luminosity of =2*〖10〗^33 〖cm〗^(-2) s^(-1) during the upgrade [1]. The upgraded RICH detectors will have significant modifications to RICH1 optics and mechanics. Moreover, new photo detectors and frontend electronics will be installed in both RICH1 and RICH2. This will require a new Detector Control System (DCS) to ensure proper running of the upgraded RICH detectors. Both must run at the maximum performance, but at the same time be safe to operate without damaging any fragile electronics or mechanical parts. Namely three different environmental conditions need to be monitored within RICH detectors: temperature, pressure and humidity. These conditions are measured using different sensors which must be tested, calibrated and implemented within the DCS and Detector Safety System (DSS) before being hard-wired to the detectors. Level of precision in monitoring these conditions is directly related to the ability to properly determine the mass of a particle and thus determine its type. Charged particles pass through C_4 F_10 gas present in the vessel. Due to Cherenkov Effect, photons are emitted at an angle relative to the trajectory of the track, called Cherenkov angle. This angle is given by: cos⁡〖θ=1/(β*n)〗 where cos⁡θ is the Cherenkov angle, β is the speed of a particle over the speed of light and n is the refractive index of a gas in the vessel. To identify mass of a particle, β is desired and thus, we also need to know the refractive index, n, precisely. Because n=n(p,T), the extent to which we know n is determined by our ability to precisely measure pressure and temperature [2,3]. CERN EDS SzGeCERN Detectors and Experimental Techniques CERN INTNOTE PUBL LHCb CERN. Geneva. Department http://cds.cern.ch/record/2686703/files/Development of the Detector Control System for the LHCb RICH Upgrade Summer Student Report Kevin Syc.pdf Access to fulltext 1508653 1643961 1508653 2511982 http://cds.cern.ch/record/2686703/files/Development of the Detector Control System for the LHCb RICH Upgrade Summer Student Report Kevin Syc.pdf?subformat=pdfa pdfa Access to fulltext kevin.syc@cern.ch Giovanni, C. D’Ambrosio, D. n 201933 16 Aug 2019 kevin.syc@cern.ch 12 PUBLIC https://repository.cern/legacy/record/2686703 INTNOTEPUBL NOTE MIGRATED 2686692 20250120183332.0 oai:cds.cern.ch:2686692 cerncds:FULLTEXT CERN-STUDENTS-Note-2019-056 eng Ponten, Axel Leo AUTHOR|(CDS)2676204 AUTHOR|(SzGeCERN)839145 axel.leo.ponten@cern.ch BASE Data Logger 2019 CERN Geneva 15 Aug 2019 BASE is a high precision experiment measuring the magnetic moment and charge to mass ratio of the proton and antiproton. Due to the high precision, the experiment is very sensitive to environmental fluctuations. To keep track of environmental fluctuations, BASE uses a data logger written in LabVIEW. My work this summer was to rewrite the data logger with an object oriented approach in order to make troubleshooting and inserting new instruments easier. CERN EDS SzGeCERN Particle Physics - Experiment LabVIEW CERN Data logger CERN BASE CERN OOP CERN CERN INTNOTE PUBLEP CERN AD BASE / AD-8 EP CERN. Geneva. EP Department http://cds.cern.ch/record/2686692/files/Axel Ponten Final Report.pdf Access to fulltext axel.leo.ponten@cern.ch Jack Devlin, JD n 201933 12 PUBLIC https://repository.cern/legacy/record/2686692 INTNOTEEPPUBL NOTE MIGRATED 2686298 SzGeCERN 20211002032352.0 oai:cds.cern.ch:2686298 cerncds:FULLTEXT openaire DOI 10.1016/j.nima.2019.162378 Inspire 1742687 AIDA-2020-PUB-2019-010 eng Zhao, Y. X. INFN Trieste The high voltage system with pressure and temperature corrections for the novel MPGD-based photon detectors of COMPASS RICH-1 2019 Geneva CERN 2019-07-05 The novel MPGD-based photon detectors of COMPASS RICH-1 consist of large-size hybrid MPGDs with multi-layer architecture including two layers of Thick-GEMs and a bulk resistive MicroMegas. The top surface of the first THGEM is coated with a CsI film which also acts as photo-cathode. These detectors have been successfully in operation at COMPASS since 2016. Concerning bias-voltage supply, the Thick-GEMs are segmented in order to reduce the energy released in case of occasional discharges, while the MicroMegas anode is segmented into pads individually biased with positive voltage while the micromesh is grounded. In total, there are about ten different electrode types and more than 20000 electrodes supplied by more than 100 HV channels, where appropriate correlations among the applied voltages are required for the correct operation of the detectors. Therefore, a robust control system is mandatory, implemented by a custom designed software package, while commercial power supply units are used. This sophisticated control system allows to protect the detectors against errors by the operator, to monitor and log voltages and currents at 1 Hz rate, and automatically react to detector misbehavior. In addition, a voltage compensation system has been developed to automatically adjust the biasing voltage according to environmental pressure and temperature variations, to achieve constant gain over time. This development answers to a more general need. In fact, voltage compensation is always a requirement for the stability of gaseous detectors and its need is enhanced in multi-layer ones. In this paper, the HV system and its performance are described in details, as well as the stability of the novel MPGD-based photon detectors during the physics data taking at COMPASS. FP7 654168 AIDA-2020 openAccess CERN Invenio WebSubmit GENEU 0.1 SzGeCERN Detectors and Experimental Techniques AIDA-2020 13: Innovative gas detectors WP author MPGD author HV system author Pressure and temperature corrections author Gain author COMPASS author RICH-1 AIDA-2020 AIDA-2020PUB Agarwala, J. INFN Trieste, Abdus Salam ICTP Bari, M. INFN Trieste Bradamante, F. INFN Trieste, University of Trieste Bressan, A. INFN Trieste, University of Trieste Chatterjee, C. INFN Trieste, University of Trieste Cicuttin, A. INFN Trieste, Abdus Salam ICTP Ciliberti, P. INFN Trieste, University of Trieste Crespo, M. INFN Trieste, Abdus Salam ICTP Dalla Torre, S. INFN Trieste Dasgupta, S. INFN Trieste Gobbo, B. INFN Trieste Gregori, M. INFN Trieste Hamar, G. INFN Trieste Levorato, S. INFN Trieste Martin, A. INFN Trieste, University of Trieste Menon, G. INFN Trieste Rizzuto, L.B. INFN Trieste, University of Trieste Triloki INFN Trieste, Abdus Salam ICTP Tessarotto, F. INFN Trieste 162378 Nucl. Instrum. Meth. A 942 2019 1505581 6905980 http://cds.cern.ch/record/2686298/files/AIDA-2020-PUB-2019-010.pdf 1505581 12768 http://cds.cern.ch/record/2686298/files/AIDA-2020-PUB-2019-010.jpg?subformat=icon- icon- 1505581 5213725 http://cds.cern.ch/record/2686298/files/AIDA-2020-PUB-2019-010.pdf?subformat=pdfa pdfa 1505581 7920 http://cds.cern.ch/record/2686298/files/AIDA-2020-PUB-2019-010.gif?subformat=icon icon livia.lapadatescu@cern.ch 13 PUBLIC ARTICLE AIDA-2020 2686178 20250120183329.0 oai:cds.cern.ch:2686178 cerncds:FULLTEXT CERN-STUDENTS-Note-2019-036 eng Michael, Andreas AUTHOR|(CDS)2675796 AUTHOR|(SzGeCERN)839262 andreas.michael@cern.ch Aging Studies on SWPC and Triple GEM Detectors 2019 CERN Geneva 09 Aug 2019 This report considers an aging analysis on the triple gas electron multiplier (GEM) technology, that will be installed through projects GE1/1, GE2/1 and ME0 on the CMS muon system. Prior to installation it is important to consider the aging effects caused by radiation on these detectors. Hence, both a GEM and a single wire chamber (SWPC) detector are irradiated with X-ray (Cadmium-109) and Alpha (Americium-241) sources. Rapid aging is achieved through the outgassing of pollutants, increasing the number of radicals and subsequently production of polymers which cause aging. During the whole of the irradiation period, the SWPC collected a charge of 14 mC/cm and the GEM collected a charge of 60mC/cm2. The measured gain is corrected using environmental parameters and along with the energy resolution of the chambers are used to show the aging effects on the detectors. Finally, the gain degradation of the SWPC is 15%, with the GEM showing no degradation at all. These results prove their resilience and pave the way for multiple rapid aging tests that must be carried through for understanding the complicated process of aging. CERN EDS SzGeCERN Particle Physics - Experiment CERN INTNOTE PUBL CMS CERN. Geneva. Department http://cds.cern.ch/record/2686178/files/Aging_Studies_on_SWPC_and_GEM_Detectors.pdf Access to fulltext 1505289 2908882 andreas.michael@cern.ch Francesco Fallavollita, F.F. Jeremie Merlin, J.M. n 201932 12 PUBLIC https://repository.cern/legacy/record/2686178 INTNOTEPUBL NOTE MIGRATED 2686009 SzGeCERN 20210421201955.0 9780128154106 electronic version electronic version 9780128154090 print version oai:cds.cern.ch:2686009 cerncds:BOOK EBL 5790840 eng TK5105.8857 .C446 2019 004.678 Mitsubayashi, Kohji Chemical, gas, and biosensors for Internet of Things and related applications San Diego, CA Elsevier 2019 408 p ebook Front Cover -- Chemical, Gas, and Biosensors for Internet of Things and Related Applications -- Copyright Page -- Contents -- List of Contributors -- Preface -- I. Sensors and Devices for Internet of Things Applications -- 1 Portable urine glucose sensor -- 1.1 Introduction -- 1.2 Significance of urine glucose measurement -- 1.3 Operating principle of urine glucose sensor and laminated structure -- 1.3.1 Principle of operation -- 1.3.2 Laminated structure of urine glucose sensor -- 1.4 Development of portable urine glucose meter -- 1.4.1 Composition of urine glucose meter -- 1.4.2 Performance evaluation of urine glucose meter -- 1.5 Clinical application of urine glucose meter -- 1.5.1 Relationship between the amount of boiled rice and urine glucose concentration in impaired glucose tolerance -- 1.5.2 Results of urine glucose monitoring on impaired glucose tolerance case -- 1.5.3 Results of a case of self-monitoring of urine glucose in diabetes -- 1.6 Conclusions -- References -- 2 Design, application, and integration of paper-based sensors with the Internet of Things -- 2.1 Introduction -- 2.2 Bioapplications of paper-based analytical devices -- 2.3 Environmental analysis of paper-based analytical devices -- 2.4 Integration with smartphone devices -- 2.5 Conclusion -- Author disclosure statement -- References -- 3 Membrane-type Surface stress Sensor (MSS) for artificial olfactory system -- 3.1 Introduction -- 3.2 Membrane-type Surface stress Sensor (MSS) -- 3.3 Receptor materials -- 3.4 Machine learning -- 3.5 Applications -- 3.6 Internet of Things and MSS Alliance/Forum -- 3.7 Conclusion -- References -- 4 Sensing technology based on olfactory receptors -- 4.1 Olfactory mechanisms in biological systems -- 4.1.1 Olfactory mechanisms in vertebrates -- 4.1.1.1 Anatomy of olfactory organs in mammals. 4.1.1.2 Odorant detection and signal transduction -- 4.1.1.3 Odorant receptors and odor coding in mammals -- 4.1.2 Olfactory mechanisms in insects -- 4.1.2.1 Anatomy of olfactory organs in insects -- 4.1.2.2 Odorant detection by olfactory sensilla -- 4.1.2.3 Odorant receptors and signal transduction -- 4.1.2.4 Odor coding by olfactory receptor neurons -- 4.2 Biosensing technologies based on odorant receptors -- 4.2.1 Mammalian odorant receptors -- 4.2.1.1 Cell-based expression systems -- 4.2.1.1.1 Bacterial cells -- 4.2.1.1.2 Yeast cells -- 4.2.1.1.3 Mammalian cultured cells -- 4.2.1.2 Other (noncell-based expression system) applications -- 4.2.2 Insect odorant receptors -- 4.2.2.1 Cell-based expression systems -- 4.2.2.2 Other (noncell expression system) applications -- 4.3 Summary -- References -- 5 Advanced surface modification technologies for biosensors -- 5.1 Biosensors and biointerfaces -- 5.2 Binding platforms based on self-assembled monolayers -- 5.2.1 Organosulfur derivatives -- 5.2.2 Organosilicon derivatives -- 5.2.3 Catechol derivatives -- 5.3 Binding matrix based on polymeric hydrogels -- 5.3.1 Physicochemical sensing mechanisms -- 5.3.2 Biochemical sensing mechanisms -- 5.4 Coupling chemistries for immobilization of biorecognition elements -- 5.4.1 Physical immobilization -- 5.4.2 Amine chemistry -- 5.4.3 Thiol chemistry -- 5.4.4 Carboxyl chemistry -- 5.4.5 Epoxy chemistry -- 5.4.6 Click chemistry -- 5.4.7 α-Oxo semicarbazone chemistry -- 5.4.8 Bioaffinity conjugation -- 5.5 Antifouling materials -- 5.5.1 Poly(ethylene glycol) antifouling materials -- 5.5.2 Zwitterionic antifouling materials -- 5.6 Outlook -- References -- 6 Development of portable immunoassay device for future Internet of Things applications -- 6.1 Introduction -- 6.2 Portable immunoassay system based on surface plasmon resonance for urinary immunoassay. 6.3 One-chip immunosensing fabricated with nanoimprinting technique -- 6.3.1 Fabrication of local plasmon resonance devices with various processes -- 6.3.2 Surface plasmon resonance biosensors fabricated by nanoimprint technique -- 6.4 Microfluidic biosensor with one-step optical detection -- 6.4.1 Mechanism of graphene aptasensor -- 6.4.2 Multichannel linear array for multiple protein detection -- 6.4.3 Molecular design for enhanced sensitivity -- 6.5 Future trend -- References -- 7 Sensitive and reusable surface acoustic wave immunosensor for monitoring of airborne mite allergens -- 7.1 Introduction -- 7.2 Surface acoustic wave immunosensor for repeated measurement of house dust mite allergens -- 7.3 Sensor characteristics and semicontinuous measurement of Der f 1 -- 7.4 Sensitivity improvement via gold nanoparticles -- 7.5 Conclusion -- References -- 8 Aptameric sensors utilizing its property as DNA -- 8.1 Introduction -- 8.2 Aptamer-immobilized electrochemical sensor -- 8.3 Detection using complementary chain formation -- 8.3.1 Strand displacement assay -- 8.3.2 Bound/Free separation using complementary chain formation -- 8.4 Aptamer sensor combined with enzymes -- 8.5 Utilizing structural change of aptamers to biosensor -- 8.6 Utilizing structural change of aptamers to biosensor -- 8.7 Development of highly sensitive sensors by amplifying DNA strands -- 8.8 Colorimetric detection using aptameric sensor and smart devices -- 8.9 Conclusion -- References -- 9 Electrochemical sensing techniques using carbon electrodes prepared by electrolysis toward environmental Internet of Thin... -- 9.1 Introduction -- 9.1.1 Electrochemical monitoring support Internet of Things services -- 9.1.2 Carbon electrode surface activation -- 9.2 Chemical sensors using electrochemical activated carbon electrodes. 9.2.1 Electrochemical activated techniques for aminated electrode preparation -- 9.2.2 Electrochemical activated techniques for electrodeposited platinum particles on glassy carbon electrode modified with... -- 9.3 Electrocatalytic activity and analytical performance -- 9.4 Conclusion and future perspectives -- Acknowledgments -- References -- 10 Chemical sensors for environmental pollutant determination -- 10.1 Introduction -- 10.2 Definition of a chemical sensor -- 10.3 Classification of chemical sensors -- 10.3.1 Electrochemical sensors -- 10.3.1.1 Voltammetric sensors -- 10.3.1.2 Amperometric sensors -- 10.3.1.3 Electrochemical impedance spectroscopy sensors -- 10.3.1.4 Potentiometric sensors -- 10.3.2 Optical sensors -- 10.3.2.1 Fluorescence sensors -- 10.3.2.2 Surface plasmon resonance sensors -- 10.3.2.3 Infrared and Raman spectroscopy-based sensors -- 10.3.2.4 Colorimetric sensors -- 10.4 Conclusion -- Acknowledgments -- References -- II. Flexible, Wearable, and Mobile Sensors and Related Technologies -- 11 Smart clothing with wearable bioelectrodes "hitoe" -- 11.1 Introduction -- 11.2 Functional material "hitoe" -- 11.2.1 Composite material of a conductive polymer and fibers -- 11.2.2 The development of hitoe smart clothing -- 11.3 Application examples -- 11.3.1 Medicine/rehabilitation -- 11.3.2 Sports -- 11.3.2.1 Heart rate measurement -- 11.3.2.2 Surface electromyography measurements -- 11.3.3 Worker health/safety management -- 11.4 State estimation based on heart rate variability and other data -- 11.4.1 Estimating posture information from accelerometer data -- 11.4.2 Estimating respiratory activity from electrocardiogram data -- 11.4.3 Estimating sleep states -- 11.5 Conclusion -- References -- 12 Cavitas bio/chemical sensors for Internet of Things in healthcare -- 12.1 Introduction -- 12.2 Soft contact lens type bio/chemical sensors. 12.2.1 Tear fluid in conjunctiva sac -- 12.2.2 Flexible conductivity sensor for tear flow function -- 12.2.3 Soft contact lens type biosensors using biocompatible polymers -- 12.2.4 Transcutaneous gas sensor at eyelid conjunctiva -- 12.3 Mouthguard type biosensor for saliva biomonitoring -- 12.3.1 Salivary fluids in oral cavity -- 12.3.2 Wireless mouthguard sensor for salivary glucose -- 12.4 Conclusion -- Acknowledgments -- References -- 13 Point of care testing apparatus for immunosensing -- 13.1 Introduction -- 13.2 Immunochromatography assay -- 13.3 Immunochromatography assay for infectious diseases -- 13.4 Reliability of the examination kits -- 13.5 Signal amplification -- 13.6 Quantitative ICA by electrochemical detection systems -- 13.7 Rapid and Quantitative ICA based on dielectrophoresis -- 13.8 Conclusion -- References -- 14 IoT sensors for smart livestock management -- 14.1 Introduction -- 14.2 Measurement site and fixing method -- 14.3 Size and weight -- 14.4 Power consumption -- 14.5 Frequency bands of radio wave -- 14.6 Applications of wearable biosensors for livestock -- 14.6.1 Chickens -- 14.6.2 Cattle -- 14.6.2.1 Automated milking system -- 14.6.2.2 Importance of wearable sensors -- 14.6.2.3 Pedometers -- 14.6.2.4 Ruminal sensors -- 14.6.2.5 Vaginal sensors -- 14.6.2.6 Implantable sensors -- 14.6.2.7 Wireless thermometers attached to skin surface -- 14.7 Conclusion -- References -- 15 Compact disc-type biosensor devices and their applications -- 15.1 Introduction -- 15.2 CD-shaped microfluidic devices for cell isolation and single cell PCR -- 15.2.1 Single cell isolation -- 15.2.2 Single cell PCR of S. enterica -- 15.2.3 Discrimination of microbes -- 15.2.4 Single cell RT-PCR for Jurkat cells -- 15.3 CD-shaped microfluidic device for cell staining -- 15.4 CD-shaped microfluidic device for ELISA. 15.4.1 Detection of bioactive chemicals based on ELISA. EBL201908 Computing and Computers SzGeCERN BOOK Niwa, Osamu Ueno, Yuko https://cds.cern.ch/auth.py?r=EBLIB_P_5790840 ebook n 201932 201908 21 PUBLIC https://catalogue.library.cern/legacy/2686009 BOOK MIGRATED 2686003 SzGeCERN 20210421201956.0 9789353284664 electronic version electronic version 9789353284640 print version oai:cds.cern.ch:2686003 cerncds:BOOK EBL 5790590 eng HC79.E5 .D436 2019 658.4083 Debnath, Somnath Environmental accounting, sustainability and accountability New Delhi Sage Publications 2019 425 p ebook Cover -- Sage History -- Half title -- full title -- Copyright -- Dedication -- Marketing -- CONTENTS -- LIST OF FIGURES -- LIST OF TABLES -- LIST OF ABBREVIATIONS -- PREFACE -- ACKNOWLEDGEMENTS -- 1 Sustainability and Accounting Sciences -- I Accounting and Accountability: The Traditional Paradigm -- 2 Organizational Theories and Accountability -- 3 Financial Accounting, Reporting and Accountability -- 4 Cost and Managerial Accounting -- 5 Economics -- II Environment and Accounting Theories: Contemporary Advances -- 6 Environmental Considerations and Conventional Accounting Theories -- 7 Contemporary Developments in Green(ing) Accounting -- 8 Methodological Developments in Environmental Management Accounting -- 9 Advancesin Other Environmental Frameworks -- III Environmental Accounting: A Dimensional View of Accounting -- 10 Environmental Accounting -- 11 Environmental Accounting -- 12 Advancements in Costing Models to Handle Externalities -- 13 Environmental Accounting: Part I -- 14 Environmental Accounting: Part II -- IV Accounting Sciences and Sustainability Theories: Managerial Implications and Recent Advances -- 15 Environmental Accounting and Managerial Implications I -- 16 Environmental Accounting and Managerial Implications II -- 17 Environmental Management Systems and Greening Firms -- 18 Sustainability and Environmental Interfaces -- APPENDIX -- REFERENCES -- INDEX -- ABOUT THE AUTHOR. This book proposes effective means for sustainable development through ethical accounting and reporting of the use of social and environmental resources. EBL201908 Information Transfer and Management SzGeCERN EBL Business enterprises-Environmental aspects EBL Social responsibility of business EBL Environmental responsibility BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5790590 ebook n 201932 201908 21 PUBLIC https://catalogue.library.cern/legacy/2686003 BOOK MIGRATED 2685987 SzGeCERN 20210421201957.0 9781119469759 electronic version electronic version 9781119469742 print version oai:cds.cern.ch:2685987 cerncds:BOOK EBL 5789377 eng R857.B54 .H363 2019 610.28 Tiwari, Ashutosh Handbook of graphene materials Newark, NJ John Wiley & Sons 2019 829 p ebook Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Section 1: Biosensors -- 1 Graphene-Based Biosensors: Fundamental Concepts, Outline of Utility, and Future Scopes -- 1.1 Introduction -- 1.2 Graphene Fabrication -- 1.3 Fundamental Concepts -- 1.3.1 Electrical Properties -- 1.3.1.1 Basic Electrochemistry of Graphene -- 1.3.1.2 Direct Electrochemistry of Enzymes -- 1.3.2 Optical Properties -- 1.4 Outline of Utility -- 1.4.1 Glucose Biosensor -- 1.4.2 NADH Biosensor -- 1.4.3 Hemoglobin Biosensor -- 1.4.4 Cholesterol Biosensor -- 1.4.5 Dopamine Biosensor -- 1.5 Future Scopes and Conclusions -- References -- 2 Graphene for Electrochemical Biosensors in Biomedical Applications -- 2.1 Introduction -- 2.2 Graphene for Electrochemical Sensing -- 2.3 Graphene for Biomedical Device -- 2.4 Graphene for Biological Imaging -- 2.5 Conclusions -- References -- 3 Graphene-Based Biosensors in Agro-Defense: Food Safety and Animal Health Diagnosis -- 3.1 Introduction to Graphene -- 3.1.1 Properties of Graphene -- 3.1.1.1 Electrical Properties -- 3.1.1.2 Mechanical Strength -- 3.1.1.3 Optical Properties -- 3.1.2 Synthesis of Graphene -- 3.1.2.1 Mechanical Exfoliation -- 3.1.2.2 Epitaxial Growth on Silicon Carbide -- 3.1.2.3 Epitaxial Growth on Metal Substrate -- 3.1.2.4 Graphite Oxide Reduction -- 3.1.2.5 Growth from Metal-Carbon Melts -- 3.1.2.6 Unzipping of Nanotubes -- 3.1.3 Application of Graphene in Sensor Development -- 3.1.4 Graphene Field-Effect Transistor -- 3.2 Importance of Biosensors for Agro-Defense -- 3.3 Graphene-Based Biosensors for Food Safety -- 3.3.1 Detection of Pesticides -- 3.3.2 Biosensors for Mycotoxin -- 3.3.3 Biosensors for Allergens -- 3.3.4 Biosensors for Bisphenol-A -- 3.3.5 Biosensors for Microbial Pathogens -- 3.4 Graphene-Based Biosensors for Animal Safety -- 3.4.1 Biosensors for Animal Diseases. 3.4.2 Biosensors for Metabolic Disorders -- 3.4.3 Biosensors for Progesterone -- 3.4.4 Biosensors for Influenza -- 3.5 Summary -- References -- 4 Trends and Frontiers in Graphene-Based (Bio)sensors for Pesticides Electroanalysis -- 4.1 Graphene Electrochemical Properties -- 4.2 Graphene-Based Sensors -- 4.2.1 Sensors Based on Electrode Modification with Graphene -- 4.2.2 Sensors Based on Graphene Combined with Other (Nano)materials -- 4.3 Graphene-Based Biosensors -- 4.3.1 Enzymatic Biosensors -- 4.3.1.1 Enzymatic Biosensors Based on Electrode Modification with Graphene -- 4.3.1.2 Enzymatic Biosensors Based on Graphene Combined with Other (Nano)materials -- 4.3.2 Graphene-Based Immunosensors -- 4.4 Concluding Remarks -- Acknowledgments -- References -- 5 Graphene-Based Biosensors: Design, Construction, and Validation. Toward a Nanotechnological Tool for the Rapid in-Field Detection of Food Toxicants and Environmental Pollutants -- 5.1 Introduction -- 5.2 Graphene Fabrication -- 5.3 Graphene Functionalization -- 5.4 Graphene-Based Biosensors -- 5.4.1 Bio-Field-Effect Transistors -- 5.4.2 Impedimetric Biosensors -- 5.4.3 Surface Plasmon Resonance Biosensors -- 5.4.4 Fluorescent Biosensors -- 5.4.5 Electrochemical Biosensors -- 5.5 Technology Evaluation -- 5.6 Concluding Remarks -- References -- 6 Application of Porous Graphene in Electrochemical Sensors and Biosensors -- 6.1 Introduction -- 6.2 Electrochemical Sensors and Biosensors Based on PGR -- 6.2.1 PGR -- 6.2.1.1 CVD-Templated PGR -- 6.2.1.2 PGR Prepared by Template Method -- 6.2.1.3 Template-Free PGR -- 6.2.2 Heteroatom-Doped PGR for Electrochemical Sensor -- 6.2.2.1 Nitrogen-Doped PGR -- 6.2.2.2 Phosphorus-Doped PGR -- 6.2.3 Biomolecules/PGR -- 6.2.3.1 GOD/PGR -- 6.2.3.2 Horseradish Peroxidase HRP/PGR -- 6.2.3.3 Antibody/PGR -- 6.2.4 Metallic Nanomaterials/PGR -- 6.2.4.1 CVD-Grown PGR. 6.2.4.2 PGR Prepared by Template Method -- 6.2.4.3 GR Hydrogels or Aerogels -- 6.2.5 Noble Metal NPs/PGR -- 6.2.5.1 CVD-Grown PGR -- 6.2.5.2 PGR Prepared by Template Method -- 6.2.5.3 PGR Hydrogels or Aerogels -- 6.2.6 Redox Mediator/PGR -- 6.3 Outlook and Conclusion -- References -- 7 Reduced Graphene Oxide for Biosensing and Electrocatalytic Applications -- 7.1 Introduction -- 7.2 Methods of RGO Synthesis -- 7.2.1 Synthesis of Graphite Oxide -- 7.2.2 Chemical Reduction of Graphene Oxide -- 7.2.3 Hydrothermal Reduction -- 7.2.4 Photoreduction -- 7.2.5 Electrochemical Reduction -- 7.3 Characterization of GO and RGO -- 7.3.1 Chemical Composition: Infrared Spectra and XPS -- 7.3.2 Structural Aspects: Raman Spectra of GO and RGO -- 7.4 RGO in Biosensors and Biofuel Cells -- 7.5 Enzyme-Free Sensors: Composite Materials with RGO and Metal Nanoparticles -- 7.5.1 Electrochemical Sensors -- 7.5.2 Pseudoperoxidase Activity-Colorimetric Sensing -- 7.5.3 Fluorescence Sensors -- 7.5.4 SERS Sensors -- 7.6 3D Structures Based on RGO -- 7.6.1 Synthesis of the 3D RGO -- 7.6.2 Applications of RGO Hydrogels and Sponges -- 7.6.2.1 Supercapacitors -- 7.6.2.2 Drug Delivery -- 7.6.2.3 Sensing -- 7.7 Summary and Perspectives -- References -- 8 Recent Progress in the Graphene-Based Electrochemical Biosensors Development -- 8.1 Introduction -- 8.2 Graphene Forms for Electrochemical Biosensing -- 8.2.1 Graphene -- 8.2.1.1 Biomolecules in an Electrode Material -- 8.2.1.2 Biomolecules as a Target -- 8.2.1.3 Biomolecules in an Electrode Material and as a Target -- 8.2.2 Graphene Oxide -- 8.2.2.1 Biomolecules in an Electrode Material -- 8.2.2.2 Biomolecules as a Target -- 8.2.2.3 Biomolecules in an Electrode Material and as a Target -- 8.2.3 Reduced Graphene Oxide -- 8.2.3.1 Biomolecules in an Electrode Material -- 8.2.3.2 Biomolecules as a Target. 8.2.3.3 Biomolecules in an Electrode Material and as a Target -- 8.2.4 Graphene Quantum Dots -- 8.2.4.1 Biomolecules in an Electrode Material -- 8.2.4.2 Biomolecules as a Target -- 8.2.4.3 Biomolecules in an Electrode Material and as a Target -- 8.3 Summary -- Acknowledgments -- References -- 9 Electrochemical Biosensors Based on Green Synthesized Graphene and Graphene Nanocomposites -- 9.1 Introduction -- 9.2 Enzyme-Based Electrochemical Sensors for the Determination of Glucose Using Green Synthesized Graphene and Graphene Nanocomposites -- 9.2.1 Glucose Biosensor -- 9.2.2 Hydrogen Peroxide Biosensor -- 9.2.3 Phenol Biosensor -- 9.2.4 Acetylcholinesterase Biosensor -- 9.2.5 Lipid Biosensor -- 9.3 Electrochemical Genosensors Using Green Synthesized Graphene and Graphene Nanocomposite -- 9.3.1 Listeria monocytogenes -- 9.3.2 Vibrio parahaemolyticus -- 9.4 Electrochemical Aptasensor Using Green Synthesized Graphene and Graphene Nanocomposite Aptamers -- 9.4.1 Tumor Markers -- 9.4.2 Bacteria -- 9.4.3 Lysozyme -- 9.5 Electrochemical Immunosensor Using Green Synthesized Graphene and Graphene Nanocomposite -- 9.5.1 Tumor Marker -- 9.5.2 Bacteria -- 9.5.3 Virus -- 9.5.4 C-Reactive Protein -- 9.5.5 Cancer Cell -- 9.6 Lectin-Based Biosensor -- 9.6.1 Cancer Cell -- 9.6.2 Glycoprotein -- 9.7 Conclusion -- Acknowledgments -- References -- 10 Recent Biosensing Applications of Graphene-Based Nanomaterials -- 10.1 Introduction to Biosensors -- 10.2 Graphene, Its Variants, and Features for Biosensing Applications -- 10.3 Recent Most Biosensing Applications of Graphene and Its Variants -- 10.3.1 Detection of Diseases -- 10.3.2 Detection of Viruses -- 10.3.3 Detection of Microbes -- 10.3.4 Enzymatic Biosensors -- 10.3.5 Nonenzymatic or Catalytic Sensing -- 10.3.6 Detection of Toxins/Additives/Pesticides for Food and Environment -- 10.3.7 Detection of Polyphenols. 10.3.8 Detection of Hormones -- 10.3.9 Detection of Drugs -- 10.3.10 Detection of Heavy Metals -- 10.3.11 Detection of GM Foods -- 10.3.12 Detection of Glycoproteins -- 10.3.13 Detection of Cellular Measurements, Viability, Capture, etc. -- 10.3.14 Heterodyne Sensing -- 10.3.15 Theranostic Applications: Imaging, Drug Delivery, and Photodynamic Therapy -- 10.3.16 pH Sensors -- 10.4 Real-World Applications of Graphene-Based Biosensors -- 10.5 Conclusions and Future Prospects -- References -- 11 Graphene-Based Sensors: Applications in Electrochemical (Bio)sensing -- Abbreviations -- 11.1 Introduction -- 11.1.1 Why Apply Graphene-Based Materials in Electrochemical Sensing Devices? -- 11.2 Graphene and Graphene-Based Materials: Applications in Electrochemical Sensing and Biosensing -- 11.2.1 Graphene (G) -- 11.2.2 Graphene Oxide (GO) -- 11.2.3 Reduced Graphene Oxide (rGO) -- 11.2.4 Graphene Quantum Dots (GQDs), Graphene Oxide QDs (GOQDs), and Reduced Graphene Oxide QGs (rGOQDs) -- 11.3 Final Considerations -- References -- 12 Graphene-Based Fiber Optic Label-Free Biosensor -- 12.1 Introduction -- 12.2 Recent Advances of Fiber Optic Biosensors -- 12.3 Novel Configuration of Graphene-Fiber Optic Biosensor -- 12.3.1 Architecture of GO-LPG and Theory of Mode Coupling -- 12.3.2 Principle of GO-LPG Biosensing -- 12.4 Functionalization of GO-LPG Sensor -- 12.4.1 Fabrication of LPGs -- 12.4.2 Materials -- 12.4.3 Surface Modification and GO Deposition -- 12.4.4 Surface Morphological Characterization -- 12.5 GO-Based Fiber Optic Immunosensor -- 12.5.1 Enhanced RI Sensitivity with Thin GO Coating -- 12.5.2 Biofunctionalization of GO-dLPG -- 12.5.3 Label-Free Immunosensing of Antibody-Antigen Kinetic Interaction -- 12.5.4 Reusability of GO-dLPG Immunosensor -- 12.6 GO-Hemoglobin Biosensor -- 12.6.1 Transition of Mode Coupling with Thick GO Overlay. 12.6.2 Biosensing Detection System. EBL201908 Health Physics and Radiation Effects SzGeCERN BOOK Palys, Barbara https://cds.cern.ch/auth.py?r=EBLIB_P_5789377 ebook n 201932 201908 21 PUBLIC https://catalogue.library.cern/legacy/2685987 BOOK MIGRATED 2685971 SzGeCERN 20210421202000.0 9789353285746 electronic version electronic version 9789353285722 print version oai:cds.cern.ch:2685971 cerncds:BOOK EBL 5788999 eng QA269 .P737 2019 519.3 Prasad, Rohit Game sutra rescuing game theory from the game theorists New Delhi Sage Publications 2019 305 p ebook Cover -- Contents -- Preface -- Acknowledgements -- 1 Game Theory Deconstructed -- 2 Common Knowledge and Counter-Strikes -- 3 How Rational Are You? -- 4 Does Donald Trump Deserve the Nobel Peace Prize? -- 5 Is Game Theory a Value-Neutral Science? -- 6 The Centre of Gravity: The Nash Equilibrium -- 7 Returning to Rationality: The Prisoners' Dilemma -- 8 The Vulnerability of the Chinese Corridor -- 9 Searching for an Equilibrium in the India-China Game -- 10 War and Peace in the Heartlands of Maoism -- 11 Is It Silly Season in Indian Telecom? -- 12 Designing Legal Liability Rules to Fix Delhi's Winter Woes -- 13 Games Businesses Play -- 14 The Airtel-Jio Battle and the Limitations of Game Theory -- 15 Battles of the Bitcoin -- 16 The Collective Action Problem of Assurance -- 17 The Hapless Fate of an Alleged Spy -- 18 Telecom on the Rocks with a Twist of IUC -- 19 The NDA, the UPA and Two Types of Chicken -- 20 The Tragedy of the Planet's Environmental Wealth -- 21 The Waters of Our Discontent -- 22 Sequential Games and Rollback Equilibrium -- 23 Reliance Jio's Second-Mover Advantage -- 24 The 2016 US Elections: The Game of Ideologies -- 25 The Absolutism of Demonetization -- 26 Risks Posed by the Insolvency and Bankruptcy Code -- 27 Every Democracy Needs a Little Disloyalty -- 28 The Fine Art of Making Threats -- 29 Will Threats Work against Pakistan? -- 30 The RBI and the Flip Flop Finance Ministry -- 31 Law and Orderin a Time of Lynch Mobs -- 32 How to Play Hardball and Get Away with It -- 33 North Korea is Not Really Cuba -- 34 Exaggeration in Brinkmanship is a Double-Edged Sword -- 35 Pseudo-Brinkmanship and the Sacrament of Marriage -- 36 The Twist in the Tale of Bihar's Political Chameleon -- 37 Hell Hath No Fury Like a Party Scorned -- 38 Navigating the Fog of War -- 39 The Inscrutable Silence of a Star Yogi. 40 The Pure Politics of the Mercurial Mayawati -- 41 Rahul Gandhi and the Beer-'Dhokla' Game -- 42 Are Our Kids Really Smarter than We Were? -- 43 Giving Up Control to Achieve Unpredictability -- 44 When Being Paranoid is Ok -- 45 The Perfect Unpredictability of Roger Federer -- 46 How to Buy Cricketers and Coal Blocks -- 47 What the IPL can Learn from Telecom -- 48 The Giddy Tournaments of Capitalism -- 49 Re-Designing the Insolvency Auction to Optimize Value -- 50 The Auction That Runsthe Internet -- 51 AD Auctions: A Market for Horses -- 52 The Gale-Shapley Algorithm and Future Job Markets -- 53 Cooperative Game Theory and the Core -- 54 The Babylonian Talmud and India's Insolvency and Bankruptcy Code -- 55 The Shapley Value and Legislative Power -- 56 Judicial Primacy is Not the Same as Exclusivity -- 57 Trump's Paris Agreement Pull-Out: Masterstroke or Farce? -- 58 The Chaotic Consensus on Goods and Services Tax -- 59 The Third Front in the 2019 Election -- 60 The Game That Worked in Goa -- 61 The Perils of Plurality in India -- 62 Rescuing Game Theory from the Game Theorists -- Index -- About the Author. A book that makes readers comfortable with the language of game theory by bringing its practical application to the real world.. EBL201908 Mathematical Physics and Mathematics SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5788999 ebook n 201932 201908 21 PUBLIC https://catalogue.library.cern/legacy/2685971 BOOK MIGRATED 2685932 SzGeCERN 20191106223631.0 9781119529910 electronic version electronic version 9781119529842 print version oai:cds.cern.ch:2685932 cerncds:BOOK EBL 5787859 eng QD716.P45 .P468 2019 541.395 Pandikumar, Alagarsamy Photocatalytic functional materials for environmental remediation Newark, NJ John Wiley & Sons 2019 396 p Cover -- Title Page -- Copyright -- Contents -- List of Contributors -- Preface -- Chapter 1 Titanium Dioxide and Carbon Nanomaterials for the Photocatalytic Degradation of Organic Dyes -- Abbreviations -- 1.1 Introduction -- 1.1.1 Impact of Dye Effluents on the Environment and Health -- 1.2 Principles and Mechanism of Photocatalysis -- 1.2.1 Direct Photocatalytic Pathways -- 1.2.1.1 The Langmuir-Hinshel Wood Process -- 1.2.1.2 The Eley-Rideal Process -- 1.2.2 Indirect Photocatalytic Mechanisms -- 1.3 Importance of Titanium Dioxide -- 1.3.1 Rutile -- 1.3.2 Anatase -- 1.3.3 Brookite -- 1.4 Titanium Dioxide for the Photocatalytic Degradation of Organic Dyes -- 1.4.1 Approaches Enhance the Photocatalytic Activity of TiO2 -- 1.4.2 Metal and Multi‐Atom Doped TiO2 -- 1.5 Carbon Nanomaterials for the Photocatalytic Degradation of Organic Dyes -- 1.5.1 Activated Carbon -- 1.5.2 Graphite -- 1.5.3 Graphene -- 1.5.4 Carbon Nanotubes and Fullerenes -- 1.5.5 Carbon Black -- 1.5.6 Carbon Nanofibers -- 1.5.7 Carbon Quantum Dots -- 1.5.8 Mesoporous Carbon -- 1.6 Conclusion and Trends -- References -- Chapter 2 Visible Light Photocatalytic Degradation of Environmental Pollutants Using Metal Oxide Semiconductors -- 2.1 Introduction -- 2.2 Photocatalysis -- 2.3 Mechanism and Fundamentals of Photocatalytic Reactions -- 2.4 Synthesis of Different Photocatalysts -- 2.4.1 Hydrothermal/Solvothermal Methods -- 2.4.2 Electrodeposition -- 2.4.3 Chemical Bath Deposition -- 2.4.4 Sol‐Gel Process -- 2.4.5 Chemical Precipitation -- 2.5 Factors Affecting Photocatalytic Degradation -- 2.5.1 Catalyst Loading -- 2.5.2 pH of the Solution -- 2.5.3 Size and Structure of the Photocatalyst -- 2.5.4 Reaction Temperature -- 2.5.5 Concentration and Nature of Pollutants -- 2.5.6 Inorganic Ions -- 2.6 Metal Oxide Semiconductors -- 2.7 Ternary/Quaternary Oxides. 2.8 Composites Semiconductors -- 2.9 Sensitization -- 2.10 Conclusions -- References -- Chapter 3 Contemporary Achievements of Visible Light‐Driven Nanocatalysts for the Environmental Applications -- 3.1 Introduction -- 3.1.1 Langmuir-Hinshelwood Approach -- 3.1.2 The Eley-Rideal Approach -- 3.1.3 Indirect Photocatalytic Approach -- 3.2 Types of Photocatalytic Reactor Models -- 3.3 Modification of Semiconductor Nanoparticles -- 3.3.1 Metal Nanoparticles -- 3.3.2 Non‐Metal Deposition -- 3.4 Emerging Photocatalysts -- 3.4.1 Perovskite Photocatalysts -- 3.4.2 C3N4‐Supported Photocatalysts -- 3.5 Mechanisms of Photocatalysis -- 3.6 Conclusion -- References -- Chapter 4 Application of Nanocomposites for Photocatalytic Removal of Dye Contaminants -- 4.1 Nanocomposites and Applications -- 4.2 Dyes: Introduction, Classification, and Impacts on the Environment -- 4.3 Strategies of Dye Contaminant Removal -- 4.4 Photodegradation and the Removal of Dyes Using Nanocomposites -- 4.4.1 Zeolite‐Based Nanocomposites -- 4.4.2 Clay‐Supported Nanocomposites -- 4.4.3 Polymer‐Based Nanocomposites -- 4.5 Photocatalytic Reactors for Dye Degradation -- 4.6 Summary -- References -- Chapter 5 Photocatalytic Active Silver Phosphate for Photoremediation of Organic Pollutants -- 5.1 Introduction -- 5.2 Properties of Ag3PO4 -- 5.2.1 Structural Features -- 5.2.2 Antimicrobial Properties -- 5.3 Photoremediation of Organic Pollutants -- 5.3.1 Effect of Morphology -- 5.3.1.1 Size and Structure of the Photocatalyst -- 5.3.1.2 Facet‐Dependent Photocatalysts -- 5.3.2 Effect of Composition -- 5.3.2.1 Carbon Materials -- 5.3.2.2 Semiconductor Materials -- 5.3.2.3 Magnetic Particles -- 5.3.2.4 Metal Particles -- 5.3.3 Doping Effect -- 5.4 Conclusions and Future Prospects -- Acknowledgments -- References. Chapter 6 Plasmonic Ag‐ZnO: Charge Carrier Mechanisms and Photocatalytic Applications* -- 6.1 ZnO‐Based Photocatalysis -- 6.2 Why Deposit Silver on ZnO Surface? -- 6.3 Methods to Decorate Silver NPs on the Surface of ZnO -- 6.4 Mechanism of Charge Carrier Transfer Dynamics in Ag‐ZnO -- 6.4.1 Schottky Barrier and Charge Carrier Transfer Process -- 6.4.2 Surface Plasmon Resonance Effects -- 6.4.3 Defect Chemistry of Ag‐ZnO -- 6.5 Influence of Silver Content on Optimizing the Photocatalytic Activity -- 6.6 Structure-Morphology Relationship on Photocatalytic Activity -- 6.7 Co‐modification of Ag‐ZnO for Photocatalysis -- 6.8 Conclusion and Future Prospects -- References -- Chapter 7 Multifunctional Hybrid Materials Based on Layered Double Hydroxide towards Photocatalysis -- 7.1 Introduction -- 7.2 Hybrid LDHs from LDH Precursors -- 7.3 Photocatalytic Applications of Different LDH‐Based Hybrid Materials -- 7.3.1 LDH‐Based Mixed Metal Oxides (MMO) -- 7.3.2 Hybrid MMOs for Dye Degradation -- 7.3.3 LDH Nanocomposites -- 7.3.4 Intercalated LDH -- 7.4 Conclusions -- References -- Chapter 8 Magnetically Separable Iron Oxide‐Based Nanocomposite Photocatalytic Materials for Environmental Remediation -- 8.1 Introduction -- 8.2 Synthesis Techniques for Magnetic Nanophotocatalyst Composites -- 8.3 Three Types of Semiconductor Magnetic‐Based Nanocomposites -- 8.4 Graphene‐Based Magnetically Separable Composites -- 8.4.1 Metal Di‐Chalcogenides‐Magnetic Nanocomposite Photocatalysts -- 8.4.2 Graphitic Carbon Nitride‐Based Magnetic Photocatalysts -- 8.5 The Effect of Iron Oxide‐Based Photocatalysts on Pollutants -- 8.5.1 Organic Dye Pollutant Degradation -- 8.5.2 Non‐Dye or Colorless Compounds -- 8.5.3 Heavy Metals -- 8.5.4 Pharmaceutical Waste -- 8.6 Summary -- References -- Chapter 9 Photo Functional Materials for Environmental Remediation -- 9.1 Introduction. 9.2 Photoelectric Effect -- 9.3 Photo Functional Materials (Photocatalysts) -- 9.4 Photodegradation of Textile Dyes -- 9.5 Semiconductor‐Based Photocatalysts -- 9.6 Carbon Nanotubes (CNTs) -- 9.7 Photo Functional Semiconductors on CNT Hybrid Materials for Tunable Optoelectronic Devices -- 9.8 Fabrication of CdS Quantum Dot Sensitized Solar Cells Using Nitrogen‐Functionalized CNTs/TiO2 Nanocomposites -- 9.9 Graphene Sheet -- 9.10 CdS/G Nanocomposites for Efficient Visible Light Driven Photocatalysis -- 9.11 Graphitic Carbon Nitride (g‐C3N4) -- 9.12 Conclusions -- References -- Chapter 10 Graphitic Carbon Nitride‐Based Nanostructured Materials for Photocatalytic Applications -- 10.1 Introduction -- 10.2 General Mechanism: Reaction Pathway -- 10.3 g‐C3N4 and Composites in Photocatalytic Degradation -- 10.4 Conclusions and Future Directions -- Acknowledgments -- References -- Chapter 11 Metal-Organic Frameworks for Photocatalytic Environmental Remediation -- 11.1 Introduction -- 11.2 Structural Features of MOFs -- 11.3 Synthesis of MOFs -- 11.3.1 Evaporation Method -- 11.3.2 Vapor Diffusion Method -- 11.3.3 Gel Crystallization Process -- 11.3.4 Solvothermal Synthesis -- 11.3.5 Microwave‐Assisted Synthesis -- 11.3.6 Sonochemical Methods -- 11.3.7 Electrochemical Synthesis -- 11.3.8 Mechanochemical Synthesis -- 11.4 Photocatalytic MOFs by Design -- 11.5 Photocatalytic Applications of MOFs -- 11.5.1 Degradation of Organic Pollutants -- 11.5.2 CO2 Reduction -- 11.5.3 Heavy Metal Reduction -- 11.5.4 Others -- 11.6 Conclusions and Future Prospects -- Acknowledgment -- References -- Chapter 12 Active Materials for Photocatalytic Reduction of Carbon Dioxide -- 12.1 Introduction -- 12.2 CO2 Photoreduction - Essentials -- 12.3 Heterogeneous Photocatalytic Reduction of Carbon Dioxide with Water. 12.4 Nanomaterials and New Combinations of Materials for Carbon Dioxide Reduction -- 12.5 Selection of Materials -- 12.6 Material Modifications for Improving Efficiency -- 12.7 Perspectives in the Photocatalytic Reduction of Carbon Dioxide -- Acknowledgement -- References -- Index -- EULA. Jothivenkatachalam, Kandasamy https://cds.cern.ch/auth.py?r=EBLIB_P_5787859 ebook ebook EBL Photocatalysis EBL Nanocomposites (Materials)-Environmental aspects EBL201908 Chemical Physics and Chemistry SzGeCERN BOOK n 201932 201908 21 PUBLIC BOOK DELETED 2685897 SzGeCERN 20210421202007.0 9781119629511 electronic version electronic version 9781786303349 print version oai:cds.cern.ch:2685897 cerncds:BOOK EBL 5785312 eng TK9152 .A453 2019 621.4835 Amiard, Jean-Claude Industrial and medical nuclear accidents Newark, NJ John Wiley & Sons 2019 339 p ebook Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- List of Acronyms -- 1. Classification of Civil, Industrial and Medical Nuclear Accidents -- 1.1. Nuclear accident or radiological accident? -- 1.2. Classification of nuclear accidents. Incident or accident? -- 1.2.1. Application of the INES in France -- 1.2.2. Application of the INES at the international level -- 1.2.3. Other classifications of nuclear accidents -- 1.2.4. The NAMS classification -- 1.3. Classification of radiological accidents -- 1.4. The typology of accidents -- 1.4.1. Criticality accidents -- 1.4.2. Accidents in nuclear power reactors -- 1.4.3. Losses of radioactive sources -- 1.4.4. Radiotherapy accidents -- 1.4.5. Terrorist attacks -- 1.5. What are the main nuclear accidents? -- 1.6. Information on nuclear energy -- 2. Accidents Related to Nuclear Power Production -- 2.1. Introduction -- 2.2. Accidents in the nuclear fuel cycle -- 2.2.1. Uranium mines -- 2.2.2. Milling, conversion, enrichment and fuel manufacturing plants -- 2.2.3. Nuclear reactors -- 2.2.4. Spent fuel reprocessing plants -- 2.3. Accidents in laboratories -- 2.3.1. Chalk River laboratories -- 2.3.2. French study centers -- 2.4. Other accidents -- 2.4.1. Accidents in civil engineering -- 2.4.2. Accidents in nuclear propulsion -- 2.5. Waste management incidents -- 2.6. Incidents in the transport of radioactive packages -- 2.7. Environmental consequences -- 2.7.1. Uranium mines -- 2.7.2. Tokai-Mura -- 2.7.3. Saint-Laurent-des-Eaux -- 2.7.4. Three Mile Island -- 2.7.5. Church Rock -- 2.7.6. La Hague -- 2.7.7. Chalk River -- 2.7.8. Simi Valley -- 2.8. Health consequences -- 2.8.1. Uranium miners -- 2.8.2. Workers in the nuclear industry -- 2.8.3. Simi Valley -- 2.8.4. Tokai-Mura -- 2.8.5. Lucens -- 2.8.6. Three Mile Island -- 2.8.7. Church Rock -- 2.8.8. La Hague. 2.8.9. Chalk River -- 2.8.10. Ruthenium 106 releases in Russia in September 2017 -- 2.9. The cost of accidents -- 2.11. Conclusions -- 3. The Extremely Serious Nuclear Accident at Chernobyl -- 3.1. Introduction -- 3.2. The facts -- 3.2.1. The Chernobyl site and the nuclear power plant -- 3.2.2. The accident -- 3.2.3. The core and the sarcophage -- 3.2.4. Atmospheric emissions -- 3.2.5. The dispersion of radionuclides -- 3.2.6. Radioactive fallout -- 3.2.7. Accident management -- 3.2.8. Countermeasures carried out at Chernobyl -- 3.3. Spatial and environmental consequences -- 3.3.1. Atmospheric contamination -- 3.3.2. Soil contamination -- 3.3.3. Surface water contamination -- 3.3.4. Groundwater contamination -- 3.3.5. Forest contamination -- 3.3.6. Contamination of the aquatic environment -- 3.3.7. Contamination of the marine environment -- 3.4. Ecological consequences of the Chernobyl accident -- 3.4.1. The three phases -- 3.4.2. Effects at molecular level -- 3.4.3. Genetic effects -- 3.4.4. Morphological and physiological effects on individuals -- 3.4.5. Effects on individual reproduction (sex, sex-ratio, fertility) -- 3.4.6. Effects on populations (age, abundance, longevity) -- 3.4.7. Effects on ecosystem structure and functioning -- 3.4.8. Partial conclusion -- 3.5. Health consequences -- 3.5.1. Implications for large organisms -- 3.5.2. The main contributions to exposure -- 3.5.3. Population exposure -- 3.5.4. Cancer pathologies -- 3.5.5. Non-cancerous pathologies -- 3.5.6. Mortalities resulting from the Chernobyl accident -- 3.6. Social consequences -- 3.6.1. Psychological disorders among liquidators -- 3.6.2. Psychological disorders in evacuated populations -- 3.7. Consequences in Europe and France -- 3.7.1. The impact of Chernobyl in Europe -- 3.7.2. The impact of Chernobyl in France -- 3.7.3. Cases of thyroid cancer in France. 3.8. Economic consequences -- 3.9. Long-term management of the Chernobyl accident -- 3.10. Conclusion -- 4. Fukushima's Serious Nuclear Accidents -- 4.1. Introduction -- 4.2. The course of the Fukushima accidents -- 4.2.1. The facts -- 4.2.2. Atmospheric emissions -- 4.2.3. Marine discharges -- 4.3. Actions taken by the Japanese authorities -- 4.3.1. Evacuation of the populations -- 4.3.2. Distribution of iodine tablets to children -- 4.3.3. Exposure limits for nuclear workers and the public -- 4.3.4. Regulatory values and food monitoring -- 4.3.5. Decontamination tests of crop production -- 4.3.6. Decontamination and waste management -- 4.3.7. The restructuring of the Japanese nuclear industry -- 4.3.8. Compensation of victims -- 4.4. Environmental contamination -- 4.4.1. Contamination of the atmosphere -- 4.4.2. Contamination of the terrestrial environment -- 4.4.3. Forest contamination -- 4.4.4. Bird contamination -- 4.4.5. Contamination of freshwater environments -- 4.4.6. Contamination of the marine environment -- 4.4.7. Contamination of agricultural products and foodstuffs -- 4.5. Exposure and effects on flora and fauna -- 4.5.1. Exposure and effects on forests -- 4.5.2. Exposure and effects on birds -- 4.5.3. Exposure and effects on other terrestrial organisms -- 4.5.4. Exposure and effects on freshwater organisms -- 4.5.5. Exposure and effects on marine organisms -- 4.6. Health consequences -- 4.6.1. Consequences for the local human population -- 4.6.2. The consequences for nuclear workers -- 4.6.3. Consequences on the world population (excluding Japan) -- 4.7. Economic consequences -- 4.8. The situation in 2016 and 2017 -- 4.8.1. The current situation of the Fukushima nuclear facilities -- 4.8.2. The time course of freshwater contamination. 4.8.3. The first returns and return intentions of the evacuated populations following the accident at the Fukushima Daiichi power plant -- 4.9. Conclusions -- 5. Industrial and Medical Radiology Accidents -- 5.1 Introduction -- 5.2. Industrial and medical applications -- 5.2.1. Non-destructive industrial testing -- 5.2.2. Industrial synthesis reactions and mechanical and chemical transformations -- 5.2.3. Environmental remediation and waste treatment by irradiation -- 5.2.4. Agri-food applications -- 5.2.5. Medical applications -- 5.3. Radiological criticality accidents -- 5.4. Radiological accidents related to the loss of radioactive sources -- 5.4.1. Loss of radioactive sources and public exposure -- 5.4.2. The main causes of loss of radioactive sources -- 5.4.3. Nuclear accidents related to the loss of radioactive sources -- 5.5. Radiological accidents with radioactive sources and industrial accelerators -- 5.6. Medical radiological accidents -- 5.6.1. Historical accidents involving the use of radiotherapy -- 5.6.2. Radiological accidents with medicinal radioactive sources -- 5.6.3. Brachytherapy and brachytherapy accidents -- 5.6.4. Interventional radiology by fluoroscopy -- 5.6.5. Secondary cancers -- 5.7. Conclusions -- Conclusion -- C.1. Comparison of the Chernobyl and Fukushima accidents -- Different circumstances -- Different air emissions -- Atmospheric fallout and evacuation areas of various sizes -- A single accident versus multiple accidents -- Contrasting radioactive contamination for the environment -- Contrasting effects for flora and fauna -- Different health effects -- C.2. Consequences of nuclear accidents on the physical environment -- C.3. Ecological consequences of nuclear accidents -- C.4. Adaptation of organisms to radiation -- C.5. Health consequences of nuclear accidents. C.6. Social consequences and perceived risk of nuclear accidents -- C.7. Probability of a new nuclear accident -- C.8. Costs of civil nuclear accidents -- C.9. Future of civil nuclear power -- Glossary -- References -- Index -- Other titles from iSTE in Ecological Science -- EULA. EBL201908 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5785312 ebook n 201932 201908 21 PUBLIC https://catalogue.library.cern/legacy/2685897 BOOK MIGRATED 2685859 SzGeCERN 20210421202010.0 9781789802085 9781789804379 oai:cds.cern.ch:2685859 cerncds:BOOK SAFARI 9781789804379 eng QA76.9.D32 .D383 2019 005.74 Datar, Radhika Hands-on exploratory data analysis with R become an expert in exploratory data analysis using R packages Birmingham Packt Publishing 2019 254 p ebook Cover -- Title Page -- Copyright and Credits -- Dedication -- About Packt -- Contributors -- Table of Contents -- Preface -- Section 1: Setting Up Data Analysis Environment -- Chapter 1: Setting Up Our Data Analysis Environment -- Technical requirements -- The benefits of EDA across vertical markets -- Manipulating data -- Examining, cleaning, and filtering data -- Visualizing data -- Creating data reports -- Installing the required R packages and tools -- Installing R packages from the Terminal -- Installing R packages from inside RStudio -- Summary -- Chapter 2: Importing Diverse Datasets -- Technical requirements -- Converting rectangular data into R with the readr R package -- readr read functions -- read_tsv method -- read_delim method -- read_fwf method -- read_table method -- read_log method -- Reading in Excel data with the readxl R package -- Reading in JSON data with the jsonlite R package -- Loading the jsonlite package -- Getting data into R from web APIs using the httr R package -- Getting data into R by scraping the web using the rvest package -- Importing data into R from relational databases using the DBI R package -- Summary -- Chapter 3: Examining, Cleaning, and Filtering -- Technical requirements -- About the dataset -- Reshaping and tidying up erroneous data -- The gather() function -- The unite() function -- The separate() function -- The spread() function -- Manipulating and mutating data -- The mutate() function -- The group_by() function -- The summarize() function -- The arrange() function -- The glimpse() function -- Selecting and filtering data -- The select() function -- The filter() function -- Cleaning and manipulating time series data -- Summary -- Chapter 4: Visualizing Data Graphically with ggplot2 -- Technical requirements -- Advanced graphics grammar of ggplot2 -- Data -- Layers -- Scales. The coordinate system -- Faceting -- Theme -- Installing ggplot2 -- Scatter plots -- Histogram plots -- Density plots -- Probability plots -- dnorm() -- pnorm() -- rnorm() -- Box plots -- Residual plots -- Summary -- Chapter 5: Creating Aesthetically Pleasing Reports with knitr and R Markdown -- Technical requirements -- Installing R Markdown -- Working with R Markdown -- Reproducible data analysis reports with knitr -- Exporting and customizing reports -- Summary -- Section 2: Univariate, Time Series, and Multivariate Data -- Chapter 6: Univariate and Control Datasets -- Technical requirements -- Reading the dataset -- Cleaning and tidying up the data -- Understanding the structure of the data -- Hypothesis tests -- Statistical hypothesis in R -- The t-test in R -- Directional hypothesis in R -- Correlation in R -- Tietjen-Moore test -- Parsimonious models -- Probability plots -- The Shapiro-Wilk test -- Summary -- Chapter 7: Time Series Datasets -- Technical requirements -- Introducing and reading the dataset -- Cleaning the dataset -- Mapping and understanding structure -- Hypothesis test -- t-test in R -- Directional hypothesis in R -- Grubbs' test and checking outliers -- Parsimonious models -- Bartlett's test -- Data visualization -- Autocorrelation plots -- Spectrum plots -- Phase plots -- Summary -- Chapter 8: Multivariate Datasets -- Technical requirements -- Introducing and reading a dataset -- Cleaning the data -- Mapping and understanding the structure -- Hypothesis test -- t-test in R -- Directional hypothesis in R -- Parsimonious model -- Levene's test -- Data visualization -- Principal Component Regression -- Partial Least Squares Regression -- Summary -- Section 3: Multifactor, Optimization, and Regression Data Problems -- Chapter 9: Multi-Factor Datasets -- Technical requirements -- Introducing and reading the dataset. Cleaning the dataset -- Mapping and understanding data structure -- Hypothesis test -- t-test in R -- Directional hypothesis in R -- Grubbs test and checking outliers -- Parsimonious model -- Multi-factor variance analysis -- Exploring graphically the dataset -- Summary -- Chapter 10: Handling Optimization and Regression Data Problems -- Technical requirements -- Introducing and reading a dataset -- Cleaning the dataset -- Mapping and understanding the data structure -- Hypothesis test -- t-test in R -- Directional hypothesis in R -- Grubbs' test and checking outliers -- Parsimonious model -- Exploration using graphics -- Summary -- Section 4: Conclusions -- Chapter 11: Next Steps -- Technical requirements -- What to learn next -- Why R? -- Environmental setup -- R syntax -- R packages -- Understanding the help system -- The data analysis workflow -- Data import -- Manipulating data -- Visualizing data -- Reporting results -- Standout as R wizard -- Building a data science portfolio -- Datasets in R -- Getting help with exploratory data analysis -- Summary -- Other Books You May Enjoy -- Index. Hands-On Exploratory Data Analysis with R puts the complete process of exploratory data analysis into a practical demonstration in one nutshell. You will understand the concepts of data analysis right from data ingestion, data cleaning, data manipulation to applying statistical techniques and visualizing hidden patterns. SAF202009 EBLlink deleted Computing and Computers SzGeCERN BOOK Garg, Harish https://learning.oreilly.com/library/view/-/9781789804379/?ar ebook n 201932 201908 21 PUBLIC https://catalogue.library.cern/legacy/2685859 BOOK MIGRATED 2685802 SzGeCERN 20210421202017.0 9781119629450 electronic version electronic version 9781786302113 print version oai:cds.cern.ch:2685802 cerncds:BOOK EBL 5781104 eng TK1001 .L334 2019 621.31 Lachal, Bernard Energy transition Newark, NY John Wiley & Sons 2019 279 p ebook Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- Acknowledgments -- Part 1: The Context of Case Study Feedback (CSF) -- 1. Energy Transition -- 1.1. The global energy system and its evolution -- 1.2. The necessary transformation of the global energy system -- 1.2.1. Fossil fuels: planned scarcity upstream and environmental problem downstream -- 1.2.2. Nuclear energy: environmental and accessibility issues -- 1.2.3. An overall inefficient system -- 1.2.4. A productive and simple-energy vision -- 1.2.5. Energy transition -- 1.3. The three concordances -- 1.3.1. Form concordance -- 1.3.2. Place concordance -- 1.3.3. Time concordance -- 1.3.4. Economic, social and environmental constraints -- 2. Energy Systems and Technological Systems -- 2.1. Transformers and concordances -- 2.1.1. Form converters -- 2.1.2. Storage -- 2.1.3. Transport -- 2.2. From the transformer to the energy system -- 2.3. Effectiveness of resources and effectiveness of results -- 3. The Innovation Process -- 3.1. A well-defined process -- 3.2. Limit of these curves in the context of energy systems -- 3.3. Operation and use -- 4. Case Study Feedback, the Basis of Learning by Using -- 4.1. Innovation in energy systems -- 4.2. Case study feedback -- 4.2.1. CSF classification test -- 4.2.2. CSF content -- Part 2: CSF Tools: Operation and Envisaged Uses -- 5. The Human Context -- 5.1. Why the human aspects? -- 5.1.1. In vivo rather than in vitro -- 5.1.2. The importance of objective information in the field of innovative energy systems -- 5.2. Who are the actors involved and how are they involved? -- 5.2.1. Actors involved in the innovation process -- 5.2.2. Actors related to the particular energy system -- 5.2.3. Actors involved in the implementation of CSF -- 5.3. How to take into account human aspects in CSF -- 5.3.1. The perimeter. 5.3.2. The objectives of the CSF -- 5.3.3. The resources -- 5.3.4. The team's experience -- 5.3.5. The follow-up group -- 6. The Energy Context and the Sankey Diagram -- 6.1. A drawing is better than a long speech -- 6.2. Design, development and operation -- 6.2.1. The importance of precise terminology -- 6.2.2. Balance failure -- 6.2.3. To avoid having a chilling effect -- 6.2.4. Shape: graphic rules -- 6.3. Uses -- 7. From System to Experimental Concept -- 7.1. The importance and difficulties of a quantitative quality assessment -- 7.2. From the energy system to be evaluated to the measurement concept -- 7.2.1. From objectives to a breakdown into subsystems and components -- 7.2.2. Developing the measurement system -- 7.2.3. Some properties of the sensors and their use -- 7.2.4. Some remarks on the measurement of primary energies -- 7.3. Link to other phases of the evaluation -- 8. Data Observation and Global Indicators -- 8.1. Observing and feeling -- 8.2. Energy indicators -- 9. Input/Output and Signature Relationships: the Operation in Use -- 9.1. Convenient visualization of an expected relationship -- 9.2. Search for a global relationship -- 9.3. Signatures as simple management tools -- 9.4. The signature as the basis for adjustment -- 9.5. The signature as the basis for a standard -- 10. Modeling -- 10.1. Why model? -- 10.2. Analytical and systemic approaches -- 10.3. Modeling and approximate knowledge -- 10.4. Modeling in the context of approximate knowledge of CSF -- 10.5. The steps of the modeling and the necessary validation -- 10.6. Some component modeling carried out in CSF -- 10.6.1. Integrating dynamic aspects to check the proper functioning of a component -- 10.6.2. Developing a more explicit but simple model -- 10.7. Simulation of energy systems -- 11. Conducting the Evaluation -- 11.1. Publication -- 11.2. Summary of the CSF process. Part 3: The Practice of CSF -- 12. Challenges of Innovation: Summer Overheating in an Administrative Building -- 12.1. Background information -- 12.2. Description of the building -- 12.3. The measurement concept and initial findings -- 12.4. Overheating indicators: strict application of the standard -- 12.4.1. Proof of need according to standards -- 12.4.2. Use of the standard by the design office when defining the concept -- 12.4.3. Comparison with the real situation -- 12.5. Building consensus -- 12.5.1. Is the indoor humidity in the offices too high? -- 12.5.2. Is the ventilation through the windows as predicted? -- 12.5.3. Is the ventilation, even in accordance with predictions and properly used, sufficient? -- 12.5.4. Do occupants use night cooling as intended? -- 12.5.5. Is the false ceiling an inconvenience? -- 12.6. Conclusions -- 13. Audits or Implementation of Knowledge: Transformation of Valère Castle to a Museum -- 13.1. The context of the study -- 13.2. The Aymon CSF -- 13.2.1. Measures and preliminary findings -- 13.2.2. System modeling -- 13.3. Return to Valère -- 13.3.1. The building -- 13.3.2. The building's relationship with the weather -- 13.3.3. The building's relationship with the operation of the future museum -- 13.3.4. The building's relationship with the technical installations -- 13.3.5. The resulting indoor climate -- 13.4. Modeling and scenarios: proposal of the concept based on the "Aymon system" -- 13.4.1. Real in situ simulation of the new use -- 13.4.2. Virtual simulation of the new use -- 13.4.3. Results of scenarios and proposals -- 13.5. Implementation of the concept and commissioning by the Valais engineering school (now HES-SO Valais) -- 13.6. Conclusion -- 14. CSF to Evaluate and Improve the Appropriation of Innovation: the Case of Buildings -- 14.1. Context: from the catalogue of solutions to real practice. 14.2. Increased complexity of construction and systems techniques well-highlighted by the Sankey diagram -- 14.3. The importance of use and human aspects that are difficult to quantify -- 14.4. The problem of the "performance gap": modeling to account for the difference in performance -- 14.5. A surprising invariant in the functioning of the "building" system: the relevance of I/O relationships and signatures -- 14.5.1. Modeling the thermal demand of buildings -- 14.5.2. Investment for infrastructure development and reimbursement from the energy used -- Part 4: Towards Involved Research? -- 15. CSF and Learning Through Use -- 15.1. Expertise or contested innovation -- 15.2. Auditing or putting innovation into practice -- 15.3. Feedback: in situ evaluation of the appropriation of an innovation -- 15.4. Big Data and CSF -- 15.5. The different learning experiences -- 15.6. CSF and learning by use -- 16. CSF, Energy Transition and Involved Research -- 16.1. Current limitations and potential of CSF -- 16.1.1. The impact of CSF -- 16.1.2. An evolution over time -- 16.1.3. Supporting the trial-and-error approach -- 16.1.4. The exemplarity of the objects studied -- 16.1.5. Energy context and opportunism -- 16.2. Feedback and energy transition: towards involved research? -- References -- Index -- Other titles from iSTE in Energy -- EULA. EBL201908 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5781104 ebook n 201932 201908 21 PUBLIC https://catalogue.library.cern/legacy/2685802 BOOK MIGRATED 2685726 SzGeCERN 20201117212509.0 9781788018050 electronic version electronic version 9781788014908 print version oai:cds.cern.ch:2685726 cerncds:BOOK EBL 5775787 eng QC176.8.N35 .N366 2019 541.2 Luque, Rafael Nanoparticle design and characterization for catalytic applications in sustainable chemistry Cambridge Royal Society of Chemistry 2019 370 p Catalysis series Cover -- Preface -- Acknowledgements -- Acronyms -- Contents -- Chapter 1: Introduction to Nanocatalysts -- 1.1 Introduction -- 1.1.1 Catalysis and Sustainable Chemistry -- 1.1.2 Understanding Nano-effects -- 1.1.2.1 Structural Effects -- 1.1.2.2 Confinement Effects in Nanopores -- 1.1.2.3 Quantum Size Effects in Nanoparticles -- 1.1.3 Towards the Rational Design of Nanocatalysts -- 1.1.3.1 Design Strategies and Synthesis Methods -- 1.1.3.2 Design of Metal Nanoparticles -- 1.1.3.3 Design of Nanopores: Confined Spaces and Surfaces -- 1.1.3.3.1 Mesoporous Silicas and Silicates -- 1.1.3.3.2 Zeolites -- 1.1.3.3.3 Reticular Materials -- 1.1.3.3.4 Carbon Materials -- 1.1.4 Nanocatalyst Applications in Sustainable Chemistry -- 1.1.4.1 Green Chemistry -- 1.1.4.2 Biorefinery -- 1.1.4.2.1 Catalytic Valorisation of Carbohydrates -- 1.1.4.2.2 Catalytic Valorisation of Lignin -- 1.1.4.3 Catalytic CO2 Conversion -- 1.1.4.4 Catalytic H2 Production -- 1.1.4.4.1 Reforming -- 1.1.4.4.2 Photocatalytic Water Splitting -- 1.1.4.5 Sensors -- References -- Chapter 2: Characterization of Nanoparticles: Advances -- 2.1 Importance of Nanoparticle Characterization: Introduction -- 2.2 Assessment of the Chemical Composition of Nanoparticles -- 2.2.1 Single Particle Techniques -- 2.2.2 Ensemble Techniques -- 2.2.3 Analysis of Dopants and Impurities in Nanoparticles -- 2.2.4 Analysis of Metal Loading in Supported Metal Nanoparticles -- 2.3 Advances in the Determination of the Size and Size Distribution of Nanoparticles -- 2.3.1 Single Particle Sizing Techniques -- 2.3.2 Ensemble Particle Sizing Techniques -- 2.3.3 Classification or Size Fractionation Techniques with Ensemble Measurements -- 2.3.4 Classified Counting Approaches -- 2.4 Evaluation of the Surface Properties of Nanoparticles -- 2.5 Aggregation and Agglomeration of Nanoparticles. 2.6 Determination of the Nanoparticle Number Concentration -- 2.6.1 Derived Approaches -- 2.6.2 Indirect Methods Based on the Measurement of Ensemble Physical Properties -- 2.6.3 Single Particle Counting Techniques -- 2.7 Conclusions -- Acknowledgments -- References -- Chapter 3: Support Morphology-dependent Activity of Nanocatalysts -- 3.1 Introduction -- 3.2 Current Status of Materials -- 3.3 Cerium Oxide -- 3.3.1 Synthesis Strategies and Applications -- 3.3.2 Ceria Morphology Effect on the Catalytic Activity of Metal Nanoparticles -- 3.3.2.1 Palladium Nanoparticles -- 3.3.2.2 Platinum Nanoparticles -- 3.3.2.3 Gold Nanoparticles -- 3.3.2.4 Ruthenium Nanoparticles -- 3.3.2.5 Copper Nanoparticles -- 3.3.2.6 Nickel Nanoparticles -- 3.3.2.7 Cobalt Nanoparticles -- 3.4 Zinc Oxide -- 3.4.1 Synthesis Strategies and Applications -- 3.4.2 Morphologic Effect of Zinc Oxide on the Catalytic Activity of Metal Nanoparticles -- 3.4.2.1 Palladium Nanoparticles -- 3.4.2.2 Gold Nanoparticles -- 3.4.2.3 Copper Nanoparticles -- 3.4.2.4 Nickel Nanoparticles -- 3.5 Future Scope and Outlook -- Acknowledgments -- References -- Chapter 4: Design of Metal-modified Zeolites and Mesoporous Aluminosilicates and Application in the Synthesis of Fine Chemicals -- 4.1 Introduction: Scientific Basis for the Synthesis of Metal-modified Nanoparticles -- 4.2 Design of Metal-modified Nanoparticles -- 4.3 Physio-chemical Characterization of Metal-modified Nanoparticle Catalysts -- 4.3.1 Methods -- 4.3.1.1 Morphology Analysis -- 4.3.1.2 Porosity Analysis -- 4.3.1.3 Powder X-ray Diffraction -- 4.3.1.4 XPS Analysis -- 4.3.1.5 Acidity Analysis -- 4.3.2 Characteristics -- 4.3.2.1 Porosity -- 4.3.2.2 Crystallinity -- 4.3.2.3 Surface Morphology -- 4.3.2.4 Surface Metal Content and Oxidation State -- 4.3.2.5 Acidity. 4.4 Catalytic Application of Metal-modified Nanoparticles in Zeolites and Mesoporous Aluminosilicates in the Synthesis of Fine Chemicals -- 4.4.1 Catalytic Isomerization Experiments -- 4.4.2 Initial Conversion Rates in α-Pinene Oxide Isomerization -- 4.4.3 Product Distribution -- 4.5 Conclusions -- Acknowledgments -- References -- Chapter 5: Metal-Organic-framework Nanoparticles: Synthesis, Characterization and Catalytic Applications -- 5.1 Introduction -- 5.2 Synthesis Strategies -- 5.2.1 Metal-Organic-frameworks -- 5.2.2 Metal-Organic-framework Nanoparticles -- 5.2.2.1 Impregnation Methods -- 5.2.2.2 Assembly Methods -- 5.3 Characterization Methods -- 5.4 Catalytic Applications -- 5.4.1 Oxidation Reactions -- 5.4.2 Hydrogenation Reactions -- 5.4.3 Cross-coupling Reactions -- 5.4.4 Asymmetric Synthesis -- 5.5 Conclusions and Outlook -- Acknowledgments -- References -- Chapter 6: Design of Metal-free Nanocatalysts -- 6.1 Introduction -- 6.2 Characterization of Metal-free Nanocatalysts -- 6.2.1 Size, Shape and Morphology -- 6.2.2 Chemical Composition and Other Parameters -- 6.3 Catalytic Applications -- 6.3.1 Metal-free Electrocatalysts -- 6.3.1.1 Electrochemical Sensing -- 6.3.1.1.1 Sensors for Biomolecules, Pharmaceuticals and Drugs -- 6.3.1.1.2 Sensors for Pollutants -- 6.3.1.2 Energy -- 6.3.1.2.1 Oxygen Reduction Reaction -- 6.3.1.2.2 Hydrogen Evolution and Oxygen Evolution Reactions -- 6.3.1.2.3 Bifunctional Catalysis for ORR/OER or OER/HER -- 6.3.2 Metal-free Nanocatalysts for Organic Transformations -- 6.3.2.1 Hydrogenation Reactions -- 6.3.2.2 Oxidation and C-C Coupling Reactions -- 6.4 Conclusions and Perspectives -- Acknowledgments -- References -- Chapter 7: Nanoparticle Design for the Catalytic Valorization of Lignocellulosic Biomass -- 7.1 Lignocellulosic Biomass: Introduction -- 7.2 Catalytic Valorization of Cellulose/Glucose. 7.2.1 Hydrogenation/Hydrogenolysis Reactions -- 7.2.2 Dehydration Reactions -- 7.2.3 Oxidation Reactions -- 7.3 Catalytic Valorization of Hemicelluloses and Related Sugars -- 7.4 Catalytic Valorization of Lignin -- 7.4.1 Hydrogenolysis -- 7.4.2 Hydrodeoxygenation -- 7.5 Conclusions -- Acknowledgments -- References -- Chapter 8: Nanocatalysts for CO2 Conversion -- 8.1 Introduction -- 8.1.1 CO2 Emissions: An Alarming Background -- 8.1.2 CO2 Utilization -- 8.1.3 Basic Thermodynamic and Kinetic Considerations -- 8.2 Catalytic CO2 Conversion -- 8.2.1 Thermal Catalysis -- 8.2.2 Electrocatalytic CO2 Conversion -- 8.2.3 Photocatalytic CO2 Conversion -- 8.2.4 Photo-electrocatalytic CO2 Conversion -- 8.2.4.1 Photocathode and Electroanode -- 8.2.4.2 Photoanode and Electrocathode -- 8.2.4.3 Photoanode and Photocathode -- 8.2.5 Photothermal Catalytic CO2 Conversion -- 8.3 Conclusions -- Acknowledgments -- References -- Chapter 9: Nanoparticles and Nanocomposites Design in Photocatalysis -- 9.1 Introduction -- 9.2 d0 Metal Structures -- 9.2.1 d0 Group IV B -- 9.2.2 d0 Group V B -- 9.2.3 Other d0 Metal Structures -- 9.3 d10 Metal Structures -- 9.3.1 d10 Group III A -- 9.3.2 d10 Group IV A -- 9.3.3 d10 Group V A -- 9.3.4 d10 Group II B -- 9.3.5 Other d10 Metal Structures -- 9.4 Supramolecular Hybrid Organic-Inorganic and Organic Systems -- 9.4.1 Metal Complexes, MOFs and Polymers -- 9.4.2 Graphene, Graphite and Carbon Nitride -- 9.5 Conclusions -- Acknowledgments -- References -- Chapter 10: Nanoparticles in the Water-Gas Shift Reaction and Steam Reforming Reactions -- 10.1 Nanoparticles in Hydrogen Producing Reactions -- 10.2 Steam and Dry Reforming of Methane -- 10.2.1 Role of the Support on the Reaction Mechanism -- 10.2.2 Effect of Salt Precursors -- 10.2.3 Noble Metals-based Catalysts -- 10.2.4 Non-noble Metals-based Catalysts. 10.2.5 Combination of Noble- and Non-noble Metal-based Catalysts -- 10.3 Ethanol Steam Reforming -- 10.3.1 Noble Metal-based Catalysts -- 10.3.2 Non-noble Metal-based Catalysts -- 10.4 Water-Gas Shift Catalysts -- 10.4.1 Noble Metal-based Catalysts -- 10.4.2 Non-noble Metal-based Catalysts -- 10.5 Conclusions -- Acknowledgments -- References -- Chapter 11: Plasmonic Photocatalysts for Environmental Applications -- 11.1 Overview: Significance and Importance of Plasmonic Photocatalysts -- 11.2 Plasmonic Photocatalysis: Introduction -- 11.3 Localized Surface Plasmon Resonance -- 11.4 Catalytic Reaction Types and Mechanistic Studies -- 11.4.1 Nanoparticle Deposition Methods -- 11.4.2 Reaction Types -- 11.4.2.1 C-X Bond Activation -- 11.4.2.2 Low Carbon Footprint Applications -- 11.4.2.2.1 CO2 Photoreduction -- 11.4.2.2.2 Water Splitting -- 11.4.2.2.3 Photocatalytic Water Decontamination -- 11.5 Conclusions -- Acknowledgments -- References -- Chapter 12: Nanoparticles-based Electrochemical Sensors and Biosensors -- 12.1 Introduction -- 12.1.1 Basic Concepts of Sensors -- 12.1.2 Sensor Components -- 12.2 Electrochemical Sensors and Biosensors: Concepts and Applications -- 12.3 Nanoparticles with Various Properties -- 12.3.1 Classification of Nanomaterials -- 12.3.2 Preparation and Characterization of Nanomaterials -- 12.3.3 Specific Nanomaterials -- 12.3.3.1 Graphene -- 12.3.3.2 Carbon Nanotubes -- 12.3.3.3 Gold Nanoparticles -- 12.3.3.4 Chitosan -- 12.4 Application of Nanoparticles in Electrochemical Sensors and Biosensors: A Case Study -- 12.4.1 Case Study: Sensitive Electrochemical Sensor Based on Gold Nanoparticles Droplet Deposition on Glassy Carbon Electrode for Bisphenol A Detection -- 12.4.1.1 Bisphenol A: Toxicology and Analytics -- 12.4.1.2 Preparation and Characterization of Au NPs-based sensor for BPA -- 12.4.1.2.1 Chemicals. 12.4.1.2.2 Electrochemical Analysis. This book presents an introduction to the preparation and characterisation of nanomaterials and their design for specific catalytic applications. Montoro, Antonio R Gawande, Manoj Kumar, Narendra Jena, Himanshu Xu, Guobao Yang, Ning Lee, Adam Parvulescu, Vasile Parvulescu, Vasile https://cds.cern.ch/auth.py?r=EBLIB_P_5775787 ebook ebook EBL Nanochemistry EBL201908 Chemical Physics and Chemistry SzGeCERN BOOK n 201932 201908 21 PUBLIC BOOK DELETED 2685719 SzGeCERN 20200128202339.0 9780429513374 electronic version electronic version 9780367198480 print version oai:cds.cern.ch:2685719 cerncds:BOOK EBL 5775185 eng QA279.5 .H668 2019 519.542 Hooten, Mevin B Bringing Bayesian models to life Milton CRC Press 2019 591 p Chapman and hallcrc applied environmental statistics ser Hefley, Trevor J https://cds.cern.ch/auth.py?r=EBLIB_P_5775185 ebook ebook EBL Bayesian statistical decision theory EBL201908 Mathematical Physics and Mathematics SzGeCERN BOOK n 201932 201908 21 PUBLIC BOOK DELETED 2685695 SzGeCERN 20200503232039.0 9781351012263 electronic version electronic version 9781138540873 print version oai:cds.cern.ch:2685695 cerncds:BOOK EBL 5772954 eng R856 .E545 2019 610.28 Chan, Lawrence S Engineering-medicine principles and applications of engineering in medicine Milton CRC Press 2019 356 p Cover -- Title Page -- Copyright Page -- Foreword -- Acknowledgments -- Preface -- Table of Contents -- 1: Engineering-Medicine: An Introduction -- 2: General Ethics in Engineering-Medicine -- 3: Ethics in the Era of Precision Medicine -- 4: Engineering Principles Overview -- 5: Engineering-Medicine Principles Overview -- 6: Economy of Engineering-Medicine Education: A Cost-Effectiveness Analysis -- 7: Invention and Innovation -- 8: Design Optimization -- 9: Problem-solving -- 10: Systems Integration -- 11: Efficiency -- 12: Precision -- 13: Big Data Analytics -- 14: Artificial Intelligence -- 15: Quality Management -- 16: Cellular and Molecular Basis of Human Biology -- 17: Systems Biology: An Introduction -- 18: Advanced Biotechnology -- 19: Biomedical Imaging: Magnetic Resonance Imaging -- 20: Biomedical Imaging: Molecular Imaging -- 21: Emerging Biomedical Imaging: Optical Coherence Tomography -- 22: Emerging Biomedical Imaging: Photoacoustic Imaging -- 23: Emerging Biomedical Analysis: Mass Spectrometry -- 24: Robotic Technology and Artificial Intelligence in Rehabilitation Medicine -- 25: Role of Academic Health Center Programs and Leadership in Enhancing the Impact of Engineering-Medicine -- 26: Environmental Protection -- Index -- About the Editors. Tang, William C https://cds.cern.ch/auth.py?r=EBLIB_P_5772954 ebook ebook EBL Biomedical engineering EBL Medical care EBL201908 Health Physics and Radiation Effects SzGeCERN BOOK n 201932 201908 21 PUBLIC BOOK DELETED 2685660 SzGeCERN 20210421202032.0 9783965960275 electronic version electronic version oai:cds.cern.ch:2685660 cerncds:BOOK EBL 5769953 eng HD30.255 .G744 2019 658.4083 Janson, Simone Green management nature protection in live & work, sustainable leading, workplace ecology, process optimization, environmental friendly office & business ideas to avoid pollution Düsseldorf Best of HR - Berufebilderde 2019 64 p ebook Intro -- Imprint -- Introduction -- Content of the book -- Structure of the book -- Information as desired and additional material to the book! -- Individual eBooks and eCourses -- Our economic system destroys the environment and human beings: companies can do that - 4 tips // By Simone Janson -- Only artificial growth helps the economy? -- What is the result? -- The solution: DIY on the rise? -- A new maker culture as a role model for companies? -- Co-designing helps to work more sustainably and better -- Executives: Promoting sustainability in the company -- 4 tips for promoting sustainable productivity -- Why Social Entrepreneurs are on the Rise: Future Trend Companies and Social Responsibility // By Simone Janson -- Innovations in non-innovation areas -- The Swiss cappuccino model as a model -- Away from the conflict market. Country -- The moralization of companies is booming -- Manager with social responsibility -- Social Entrepreneur and Eco-Tourism in New Zealand: Business plan in the rainforest // By Simone Janson -- Study funding by boar hunting -- 6 Years at the New Zealand National Museum -- Money and career do not make you happy -- Businessplan according to Stammestradition -- Hikes and bush camp -- An entrepreneur who does not want to become too big -- How sustainable is tourism? -- [Founder Report] Eco-Fashion Week in Vancouver: Sustainably improving the world // By Simone Janson -- From the buyer to the eco-enthusiast -- Do something fundamentally different -- More eco-awareness through voluntary self-control -- We have to share and discuss knowledge -- Second-hand instead of throwing away -- Enthusiastic and pragmatic -- [Live] LinkedIn co-founder Konstantin Guericke on walking meetings: Rattlesnake as a reminder // By Simone Janson -- Mr. Guericke, how did the idea of ​​organizing meetings during hiking?. Did the idea for LinkedIn also turn into hiking? -- What is it then? -- What do you prefer when hiking? -- Is not there a medium for presentation and the usual PowerPoint slides? -- Do not you forget all the good ideas? -- How do walking meetings happen? I find this difficult if, for example, there are no PowerPoint slides or meeting minutes ... -- How often do you make such meetings? -- How do you choose the hiking trail? -- Where is the hike? -- And how many participants are usually there? -- How exactly does it work with several people - sometimes you have to run in a row ... -- Are walking meetings better, worse or just as useful as meeting at the table - and why? -- [Live] TV star Manuel Andrack: Hiking makes you smart and successful // By Simone Janson -- Mr. Andrack, you describe in your current book a far-flung IT miliary who wanted to learn how to walk in the Eifel. Do you need to learn to walk? -- Why did you start hiking yourself? -- As the? -- Do you use hiking for ideas, not for relaxation? -- Makes walking successful? -- And how do you make hiking a part of your career? -- Are you only hiking in the Middle Mountains? -- How does a creative process during the hiking run exactly? -- But what does it look like in practice? How do you keep your ideas on the road? -- Do you prefer hiking alone or in the group? -- eCommerce in the niche: 5 tips and 5 special online shops // By Simone Janson -- How to start a successful online shop? -- 5 Tips for the appropriate niche -- 5 successful online shops -- 5 Tips to increase your available capital: money from the forest? // By Jörg Romstötter -- Civilization causes mental exhaustion -- Nature brings effortless attention -- How does this lead to more money? -- Sustainable time management tips for the self-employed and entrepreneurs: More money through efficiency and sustainability // By Simone Janson. How self-organization and time management significantly contribute to the success of your business -- Optimize processes: Work organization under control -- Ecological business on the rise -- Work organization under control = company under control -- The health suffers -- Organization helps to work more productively -- Steps to successful time management -- Which work as a self-employed person comes to you -- Your actual professional activity -- Dealing with customers -- Technical work -- Accounting, costing and financing -- Tax and legal issues -- Planning and organization -- How optimal time management pays off in dealing with customers and employees -- Optimal planning and preparation has a positive effect -- Implement goals consistently -- Organize Time with Smartphone or Calendar: Planning Tools vs Tech Aids // By Simone Janson -- The benefits of written organization -- Merge data neatly -- Tools and tools for scheduling -- Checklist: Advantages of planning on paper -- Appointment book -- Schedule book -- Checklist: What a schedule book should contain -- Checklist: Advantages of Electronic Planning -- Software for the computer or laptop -- Smartphones - pocket sized electronic organizers -- Exchange software for reconciliation -- Cloud-based web organizer and unified messaging -- Manage contacts and appointments online -- Checklist: For which tasks does a web organizer make sense? -- Working like Digital Green Nomads: 6 Tips for the Eco-Trend // By Simone Janson -- Nomadic green work -- Creation of a project -- Social focus and cultural actions -- If an old idea becomes a trend -- Mobile eco nomads as pioneers of a new way of life and work? -- City greening with prototype character -- Residents get plants free of charge -- Future-oriented oases of the town greening -- 6 Green Office Tips. My conclusion: Working in the open is good - with restrictions -- Purpose instead of mission statement: How companies have to reinvent themselves // By Anne M. Schüller -- Purposeful Organizations" are winners -- Main task of the companies of tomorrow -- Utility and meaning are in -- Organizational restructuring: What are the purpose of companies? -- Old models: self-loving and self-centered -- Most of the models are not lived at all -- The difference between mission statement and purpose -- Solve the problems of humanity -- Implementing weird ideas with strategy and planning: 7 tips for structured start-ups // By Simone Janson -- Ideas often fail because of their implementation -- With structured planning to success -- 7 Tips for Successful Foundation -- Data Security in Recruiting: Paperless Personnel File - 9 Tips // By Regina Mühlich -- 1. Special requirements for the digital file -- 2. Trust relationship application -- 3. E-recruiting systems control the process -- 4. Electronic system can not decide alone -- 5. What may be stored in the electronic personnel file? -- 6. Note purpose limitation -- 7. Keyword "required -- 8. After termination of employment -- 9. Observe the storage obligation -- Learning from environmental protection for productive work: energy-efficient in the office // By Simone Janson -- Just get out of the excess company? -- Sustainable living as an alternative -- The emergence of the eco-settlement ITER -- How ecological are eco-houses? -- No house works regardless of location -- What we can learn through ecology for our work -- Conclusion: no model for Germany? -- Closing Remarks -- Authors A-Z -- Simone Janson -- Regina Mühlich -- Jörg Romstötter -- Anne M. Schüller -- About the publisher Best of HR - Berufebilder.de® -- Notes on translation -- How is our translation created? -- We support neural machine translations. Correctness of translations -- Liability. EBL201908 Information Transfer and Management SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5769953 ebook n 201932 201908 21 PUBLIC https://catalogue.library.cern/legacy/2685660 BOOK MIGRATED 2685407 SzGeCERN 20191101220453.0 9781482290035 electronic version electronic version 9780824704025 print version oai:cds.cern.ch:2685407 cerncds:BOOK EBL 5379282 eng TK153 .H544 2000 621.319/13 Abdel-Salam, Mazen High-voltage engineering theory and practice 2nd ed. Boca Raton, FL CRC Press 2000 745 p Electrical and computer engineering Cover -- Half Title -- Title Page -- Copyright Page -- Preface to the Second Edition -- Contents -- 1. Introduction -- 1.1 HIGH-VOLTAGE POWER SYSTEMS -- 1.1.1 History of High Voltage -- 1.2 CLASSIFICATION OF VOLTAGE -- 1.3 INSULATION OF ELECTRICAL EQUIPMENT -- REFERENCES -- 2. Electric Fields -- 2.1 INTRODUCTION -- 2.2 ANALYTICAL CALCULATION OF SPACE-CHARGE-FREE FIELDS -- 2.2.1 Simple Geometries -- 2.2.2 Transmission-line Conductors to Ground -- 2.2.3 Fields in Multidielectric Media -- 2.3 EXPERIMENTAL ANALOGS FOR SPACE-CHARGE-FREE FIELDS -- 2.3.1 Electrolytic Tank -- 2.3.2 Semiconducting Paper Analog -- 2.3.3 Resistive-Mesh Analog -- 2.4 NUMERICAL COMPUTATION OF SPACE-CHARGE-FREE FIELDS -- 2.4.1 Successive Imaging Technique -- 2.4.2 The Dipole Method -- 2.4.3 Charge-Simulation Technique -- 2.4.4 Finite-Difference Technique -- 2.4.5 Combined Charge-Simulation and Finite-Difference Technique -- 2.4.6 Finite-Element Technique -- 2.4.7 Combined Charge-Simulation and Finite-Element Technique -- 2.4.8 Boundary-Element Method -- 2.4.9 Integral -Equations Technique -- 2.4.10 Monte Carlo Technique -- 2.5 ANALYTICAL CALCULATIONS OF FIELDS WITH SPACE CHARGES -- 2.6 NUMERICAL COMPUTATION OF FIELDS WITH SPACE CHARGES -- 2.6.1 Finite-Element Technique -- 2.6.2 Finite-Element Technique Combined with the Method of Characteristics -- 2.6.3 Charge-Simulation Technique -- 2.6.4 Charge-Simulation Technique Combined with the Method of Residues -- 2.7 ELECTRIC STRESS CONTROL AND OPTIMIZATION -- 2.7.1 Electric Stress Control -- 2.7.2 Electric Stress Optimization -- 2.8 SOLVED EXAMPLES -- REFERENCES -- 3. Ionization and Deionization Processes in Gases -- 3.1 INTRODUCTION -- 3.2 KINETIC THEORY OF GASES -- 3.2.1 Kinetic Interpretation of Gas Pressure -- 3.2.2 Kinetic Interpretation of Gas Temperature -- 3.2.3 Distribution of Molecular Speeds. 3.2.4 Maxwell-Boltzmann Distribution Function -- 3.3 BEHAVIOR OF A GASEOUS DIELECTRIC IN AN ELECTRIC FIELD -- 3.4 ION-GENERATED PROCESSES -- 3.4.1 Ionization by Electron Impact -- 3.4.2 Photoionization -- 3.4.3 Ionization by Interaction with Metastables -- 3.4.4 Ionization by Nuclear Particles -- 3.4.5 Thermal Ionization -- 3.4.6 Electron Detachment -- 3.5 DEIONIZATION PROCESSES -- 3.5.1 Deionization by Recombination -- 3.5.2 Electron Attachment -- 3.5.3 Deionization by Diffusion -- 3.6 GAS-DISCHARGE PARAMETERS AS INFLUENCED BY ATMOSPHERIC CONDITIONS -- 3.6.1 Ionization Coefficient -- 3.6.2 Attachment Coefficient -- 3.6.3 Photon Absorption Coefficient -- 3.6.4 Electron Drift Velocity -- 3.6.5 Electron Diffusion Coefficient -- 3.7 SOLVED EXAMPLES -- REFERENCES -- APPENDIX 3.1 -- 4. Electrical Breakdown of Gases -- 4.1 INTRODUCTION -- 4.2 PRE-BREAKDOWN PHENOMENA IN GASES -- 4.2.1 Generation of Electron Avalanches -- 4.2.2 Avalanches with Successors -- 4.3 BREAKDOWN IN STEADY UNIFORM FIELDS -- 4.3.1 Townsend Mechanism -- 4.3.2 Townsend's Criterion for Spark Breakdown -- 4.3.3 Paschen's Law -- 4.3.4 Streamer Mechanism -- 4.4 BREAKDOWN IN ELECTRONEGATIVE GASES AND THEIR MIXTURES -- 4.5 EFFECTS OF GAS PARAMETERS -- 4.6 BREAKDOWN IN NONUNIFORM DC FIELDS -- 4.7 BREAKDOWN IN NONUNIFORM AC FIELDS -- 4.8 BREAKDOWN UNDER IMPULSE VOLTAGES -- 4.8.1 Statistical Time Lags -- 4.8.2 Formative Time Lags -- 4.8.3 Breakdown of Long Gaps under Switching Impulses -- 4.9 HIGH-FREQUENCY BREAKDOWN -- 4.10 SOLVED EXAMPLES -- REFERENCES -- 5 .The Corona Discharge -- 5.1 INTRODUCTION -- 5.2 MECHANISM OF CORONA DISCHARGE -- 5.2.1 Positive Corona -- 5.2.2 Negative Corona -- 5.2.3 AC Corona -- 5.2.4 Impulse Corona -- 5.3 THE CORONA ONSET LEVEL -- 5.3.1 The Corona Onset Voltage -- 5.3.2 Computation of DC Corona Onset Voltages -- 5.3.3 Computation of DC Corona Pulse Characteristics. 5.3.4 Possible Corona in Compressed Air and SF6 -- 5.4 CORONA POWER LOSS -- 5.4.1 Corona Loss Formulas -- 5,4.2 Computation of Corona Power Loss -- 5.5 CORONA NOISE -- 5.5.1 Effect of Line Conductor Size -- 5.6 SOLVED EXAMPLES -- REFERENCES -- 6. The Arc Discharge -- 6.1 INTRODUCTION -- 6.2 ARCS IN CIRCUIT BREAKERS -- 6.3 REGIONS OF THE ARC -- 6.3.1 Cathode Region -- 6.3.2 Anode Region -- 6.3.3 Arc Column -- 6.4 ENERGY BALANCE IN A STEADY ARC -- 6.4.1 Cathode Region -- 6.4.2 Anode Region -- 6.4.3 Arc Column -- 6.5 STEADY-STATE ARC CHARACTERISTICS -- 6.6 MAGNETIC PHENOMENA IN ARCS -- 6.7 DYNAMIC ARC CHARACTERISTICS -- 6.7.1 AC Arc Characteristics -- 6.8 THE ARC AS A CIRCUIT ELEMENT -- 6.9 ARC INTERRUPTION -- 6.9.1 DC Case -- 6.9.2 AC CASE -- 6.10 ARC EROSION -- 6.11 APPLICATIONS -- 6.12 PROBLEMS -- REFERENCES -- 7. Insulating Liquids -- 7.1 INTRODUCTION -- 7.2 TYPES OF OILS -- 7.2.1 Organic Oils -- 7.2.2 Mineral Oils -- 7.2.3 Synthetic Oils -- 7.3 BASIC PROPERTIES OF INSULATING OIL -- 7.3.1 Effect of Temperature on Viscosity -- 7.3.2 Water Solubility in Oils -- 7.4 CHEMICAL REACTIONS -- 7.4.1 Chemical Reactions Enhanced by Electrical Discharge -- 7.5 ELECTRICAL PROPERTIES -- 7.5.1 Electrical Conductivity -- 7.5.2 Dielectric Constant -- 7.6 THEORIES OF DIELECTRIC BREAKDOWN -- 7.6.2 Bubble Theory -- 7.6.1 Electronic Breakdown Theory -- 7.6.3 Suspended Particle Theory -- 7.6.4 Streamers in Liquid insulation -- 7.7 FACTORS INFLUENCING THE DIELECTRIC STRENGTH OF INSULATING LIQUIDS -- 7.7.1 Temperature and Pressure -- 7.7.2 Electrode and Gap Conditions -- 7.7.3 Impurities -- 7.7.4 Insulating Oil in Motion -- 7.8 AGING -- 7.8.1 Additives -- 7.9 TESTS ON INSULATING LIQUIDS -- 7.10 RECONDITIONING OF INSULATING LIQUIDS -- 7.11 PROBLEMS -- REFERENCES -- 8. Solid insulating Materials -- 8.1 INTRODUCTION -- 8.2 ELECTRSAL PROPERTIES -- 8.2.1 Relative Permittivity. 8.2.2 Dielectric Polarization -- 8.2.3 Electrical Conduction -- 8.2.4 Dielectric Losses -- 8.3 THERMAL, MECHANICAL, AND CHEMICAL PROPERTIES -- 8.3.1 Thermal Classes -- 8.3.2 Effects of Moisture -- 8.3.3 Tests -- 8.4 DIELECTRIC BREAKDOWN -- 8.4.1 Intrinsic Breakdown -- 8.4.2 Thermal Breakdown -- 8.4.3 Treeing in Plastics -- 8.4.4 Tracking in Electrical insulation -- 8.5 INSULATING MATERIALS -- 8.6 ACTIVE DIELECTRICS -- 8.7 PROBLEMS -- REFERENCES -- 9. High-Voltage Busbars -- 9.1 INTRODUCTION -- 9.2 BUSBAR ARRANGEMENTS -- 9.2.1 Single Bus -- 9.2.2 Double Bus with Double Breaker -- 9.2.3 Double Bus with Single Breaker -- 9.2.4 Main-and-Transfer Bus -- 9.2.5 Ring Bus -- 9.2.6 Breaker-and-a-HaSI with Two Main Buses -- 9.2.7 Summary -- 9.3 RIGID BUS VERSUS STRAIN BUS -- 9.4 BUS CONDUCTOR MATERIALS -- 9.5 BUSBAR CLEARANCES -- 9.5.1 Phase-to-Ground Clearances in Substations -- 9.5.2 Clearances between Conductors -- 9.6 THERMAL RATING -- 9.6.1 Conductor-rated Current -- 9.6.2 Transient Ampacity of a Busbar -- 9.6.3 Considerations for Short-Circuit Currents -- 9.7 MECHANICAL STRESSES ON BUSBAR CONDUCTORS -- 9.7.1 Electrodynamic Force Magnitudes -- 9.7.2 The Effect of Magnetic Field on Optimal Design of a Rigid Bus -- 9.8 INSULATORS -- 9.8.1 Insulator Pollution -- 9.10 PROBLEMS -- REFERENCES -- 10. Gas-Insulated Switchgear -- 10.1 INTRODUCTION -- 10.2 CHEMICAL AND PHYSICAL PROPERTIES OF SF6 -- 10.3 LAYOUT OF GAS-INSULATED SWITCHGEAR -- 10.3.1 GIS Enclosure Configuration -- 10.3.2 Enclosure Material -- 10.3.3 SF6 Insulating Gas Pressure -- 10.3.4 Conductor System -- 10.3.5 Solid Spacers -- 10.4 COMPONENTS OF GIS -- 10.4.1 Disconnectors -- 10.4.2 Earthing Switches -- 10.4.3 Voltage Transformers -- 10.4.4 Current Transformers -- 10.4.5 Surge Arresters -- 10.4.6 Bushings -- 10.4.7 Cable-End Boxes -- 10.4.8 Gas Density Monitors -- 10.4.9 New Trends in GIS Design. 10.5 COMPRESSED GAS-INSULATED CABLES -- 10.5.1 Comparative Conductor Size -- 10.6 DIMENSIONING OF COMPRESSED GAS ENCLOSURE -- 10.6.1 Condensation Threshold -- 10.6.2 Spacer FSashover -- 10.6.3 Heat Dissipation Considerations -- 10.7 FACTORS AFFECTING INSULATION STRENGTH -- 10.7.1 Effect of Electrode Material -- 10.7.2 Conductor Conditioning and Surface Roughness -- 10.7.3 Problems Associated with Solid Spacers -- 10.7.4 Particle Contamination in GIS -- 10.7.5 Particle-initiated Breakdown -- 10.7.6 Particle Control Techniques -- 10.7.7 Conductor Coating -- 10.7.8 Particle Contamination under Very Fast Transients -- 10.7.9 Breakdown of GIS at Low Temperature -- 10.8 ELECTROMAGNETSC COMPATIBILITY IN GIS SUBSTATIONS -- 10.9 ON-SUE TESTING -- 10.9.1 High-Voltage On-Site Testing -- 10.10 MAINTENANCE -- 10.10.1 Gas Handling -- 10.11 DIAGNOSTICS OF MICRODISCHARGES IN GIS -- 10.11.1 Light Output -- 10.11.2 Chemical Products -- 10.11.3 Acoustic Signals -- 10.11.4 Conventional Electrical Method -- 10.11.5 Ultra-High-Frequency (UHF) Technique -- 10.12 ENVIRONMENTAL CONSIDERATIONS -- 10.12.1 SF6 Greenhouse Effect -- 10.12.2 Radio Interference and Transit Field from GIS -- 10.13 PROBLEMS -- REFERENCES -- 11. Circuit Breaking -- 11.1 INTRODUCTION -- 11.2 ARC INTERRUPTION -- 11.3 CIRCUIT BREAKER RATED QUANTITIES -- 11.3.1 Rated Current -- 11.3.2 Rated Breaking Current -- 11.3.3 Rated Making Current -- 11.3.4 Rated Short-Time Current -- 11.3.5 Circuit Breaker Breaking Capacity -- 11.3.6 Rated Insulation Level -- 11.3.7 Rated Operating Sequence (Duty Cycle) -- 11.4 SWITCHED CURRENTS AND CIRCUITS -- 11.4.1 Three-Phase Short Circuit -- 11.4.2 Asymmetrical Short-Circuit Switching -- 11.4.3 Small Inductive Current -- 11.4.4 Capacitive Current -- 11.4.5 Short-Line Fault Switching -- 11.5 RATE OF RISE OF RESTRIKING VOLTAGE -- 11.6 CONTROLLED SWITCHING. 11.7 TYPES OF CIRCUIT BREAKER. Anis, Hussein El-Morshedy, Ahdab Radwan, Roshdy https://cds.cern.ch/auth.py?r=EBLIB_P_5379282 ebook ebook EBL Electrical engineering EBL High voltages EBL201908 Engineering SzGeCERN BOOK n 201932 21 PUBLIC BOOK DELETED 2685406 SzGeCERN 20191101220453.0 9781482293203 electronic version electronic version 9780824770334 print version oai:cds.cern.ch:2685406 cerncds:BOOK EBL 5379035 eng TK7870.15 .M42 1999 621.381/046 Mckeown Mechanical analysis of electronic packaging systems Boca Raton, FL CRC Press 1999 374 p Mechanical engineering Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Preface -- Contents -- Chapter 1: Introduction -- 1.1 BACKGROUND -- 1.1.1 Typical Electronic Packaging Configuration -- 1.1.2 Electronic Packaging Levels -- 1.1.3 Recent Development in Electronic Packaging -- 1.1.4 Examples of Electronic Packaging Analysis -- 1.2 PLANNING THE ANALYSIS -- 1.2.1 Problem Definition/Objective -- 1.2.2 Analysis Approach -- 1.3 UNITS -- 1.3.1 Background -- 1.3.2 Acceleration Due to Gravity -- 1.4 CONVENTIONS -- 1.5 GENERAL ANALYSIS CHECKLIST -- 1.5.1 Applicable to Analysis Planning -- 1.5.2 Applicable to Units -- 1.6 REFERENCES -- Chapter 2: Analytical Tools -- 2.1 INTRODUCTION -- 2.2 ANALYTICAL TOOLS -- 2.2.1 Hand Calculations -- 2.2.2 Symbolic Equation Solvers -- 2.2.3 Spreadsheets -- 2.2.4 Finite-Element Analysis -- 2.2.5 Custom Programs -- 2.3 SUMMARY OF ANALYTICAL TOOLS -- 2.4 "SEAMLESS" AUTOMATION -- 2.4.1 Background -- 2.4.2 Custom Programs and Macros -- 2.5 ANALYTICAL TOOL CHECKLIST -- 2.5.1 Applicable to Hand Calculations -- 2.5.2 Applicable to Symbolic Math Solvers -- 2.5.3 Applicable to Spreadsheets -- 2.5.4 Applicable to Finite-Element Analysis -- 2.5.5 Applicable to Custom Programs -- 2.6 REFERENCES -- Chapter 3: Thermal Performance Analysis -- 3.1 BACKGROUND -- 3.1.1 Steady-State Thermal Analysis -- 3.1.2 Transient Thermal Analysis -- 3.2 SELECTION OF ANALYSIS APPROACH -- 3.3 THERMAL CONFIGURATION -- 3.3.1 Thermal Path -- 3.3.2 Thermal Masses -- 3.3.3 Thermal Boundary Conditions -- 3.3.4 Packaging Levels -- 3.4 COlVIPONENT (FIRST) LEVEL -- 3.4.1 Classical Methods -- 3.4.2 Finite-Element Analysis -- 3.4.3 Use of Published/Vendor Data -- 3.5 PWB/MODULE (SECOND) LEVEL -- 3.5.1 Identification of Thermal Path -- 3.5.2 Classical Methods -- 3.5.3 Finite-Element Analysis -- 3.6 CHASSIS (THIRD) LEVEL -- 3.6.1 Identification of Thermal Path. 3.6.2 Classical Methods -- 3.6.3 Finite-Element Analysis -- 3.7 COMBINING ALL PACKAGING LEVELS -- 3.7.1 Steady-State Thermal Analysis -- 3.7.2 Transient Thermal Analysis -- 3.7.3 Finite-Element Analysis Guidelines -- 3.7.4 Typical Thermal Calculation -- 3.8 SPECIAL THERMAL CASES -- 3.8.1 Flow-through Modules -- 3.8.2 Heat Pipes -- 3.8.3 Thermoelectric Cooler -- 3.8.4 Immersion Cooling -- 3.8.5 Phase Change Material -- 3.9 FACTORS IN RECENT DEVELOPMENTS -- 3.10 VERIFICATION -- 3.11 THERMAL ANALYSIS CHECKLIST -- 3.11.1 Applicable to An Thermal Analyses -- 3.11.2 Applicable to Transient Thermal Analysis -- 3.11.3 Applicable to Finite·Element Analysis -- 3.11.4 Applicable to Special Heat Transfer Techniques -- 3.11.5 Applicable to Recent Developments -- 3.11.6 Environmental Data Required -- 3.11.7 Material Properties Required -- 3.12 REFERENCES -- Chapter 4: Mechanical Performance Analysis -- 4.1 BACKGROUND -- 4.1.1 Static Mechanical Analysis -- 4.1.2 Dynamic Mechanical Analysis -- 4.2 SELECTION OF ANALYSIS APPROACH -- 4.3 MECHANICAL MODELING -- 4.3.1 Background -- 4.3.2 Component Level -- 4.3.3 Module Level -- 4.3.4 Chassis Level -- 4.3.5 Underlying Assumptions -- 4.4 MECHANICAL DYNAMICS BACKGROUND -- 4.4.1 Undamped Spring-Mass System -- 4.4.2 Damped Spring-Mass System with Base Excitation -- 4.4.3 Random Vibration -- 4.4.4 Acoustic Noise -- 4.4.5 Mechanical Shock -- 4.5 DYNAMIC MECHANICAL ANALYSIS -- 4.5.1 Modal Analysis -- 4.5.2 Sinusoidal Vibration Analysis -- 4.5.3 Random Vibration Analysis -- 4.5.4 Acoustic Noise Analysis -- 4.5.5 Mechanical Shock Analysis -- 4.6 STATIC MECHANICAL ANALYSIS -- 4.6.1 Lead Stiffness -- 4.6.2 Sustained Acceleration -- 4.6.3 Thermal Stresses/Strains -- 4.7 TYPICAL ANALYSES -- 4.7.1 Typical Component Lead Stiffness Model -- 4.7.2 Typical Module CTE Determination -- 4.7.3 Typical Module Vibration Analysis. 4.7.4 Typical Acoustic Noise Analysis -- 4.8 INTERPRETATION OF RESULTS -- 4.9 FACTORS IN RECENT DEVELOPMENTS -- 4.10 VERIFICATION -- 4.11 MECHANICAL ANALYSIS CHECKLIST -- 4.11.1 Applicable to An Mechanical Analyses -- 4.11.2 Applicable to Finite-Element Analysis -- 4.11.3 Applicable to Dynamic Analyses -- 4.11.4 Applicable to Acoustic Analysis -- 4.11.5 Applicable to Recent Developments -- 4.11.6 Environmental Data Required -- 4.11.7 Material Properties Required -- 4.12 REFERENCES -- Chapter 5: Life Analysis -- 5.1 BACKGROUND -- 5.1.1 High-Cycle Fatigue -- 5.1.2 Low-Cycle Fatigue -- 5.1.3 Random Vibration -- 5.1.4 Effect of Curvature on Out-of-Plane Deflection -- 5.1.5 Cumulative Damage -- 5.1.6 Combined Tensile and Alternating Stresses -- 5.2 SOLDER-LIFE ANALYSIS -- 5.2.1 Applications -- 5.2.2 Solder Joint Life under Vibration -- 5.2.3 Thermal Cycling -- 5.3 OTHER LIFE ANALYSIS -- 5.3.1 Mechanical Hardware Life -- 5.3.2 PTH Life Analysis -- 5.4 COMBINED THERMAL CYCLING AND VIBRATION -- 5.4.1 Loads Applied Independently -- 5.4.2 Loads Applied Simultaneously -- 5.5 RELATIVE LIFE ANALYSIS -- 5.5.1 High-Cycle Relative Fatigue Life -- 5.5.2 Low-Cycle Relative Fatigue Life -- 5.5.3 Underlying Assumptions -- 5.6 TYPICAL LIFE CALCULATIONS -- 5.6.1 Leadless Solder Joint Thermal Cyding Life -- 5.6.2 Leadless Solder Joint Vibration Life -- 5.6.3 Leaded Solder Joint Thermal Cycling Life -- 5.6.4 Leaded Solder Joint Vibration Life -- 5.7 FACTORS IN RECENT DEVELOPMENTS -- 5.8 VERIFICATION -- 5.9 LIFE ANALYSIS CHECKLIST -- 5.9.1 Applicable to All Life Analysis -- 5.9.2 Applicable to Vibration Life Analysis -- 5.9.3 Applicable to Random Vibration Life -- 5.9.4 Applicable to Solder Vibration -- 5.9.5 Applicable to Solder Thermal Cycling -- 5.9.6 Applicable to Leadless Component Analysis -- 5.9.7 Applicable to Leaded Component Analysis. 5.9.8 Applicable to Recent Developments -- 5.9.9 Environmental Data Required -- 5.9.10 Material Properties Required -- 5.10 REFERENCES -- Chapter 6: Other Analysis -- 6.1 BACKGROUND -- 6.2 FIRE-RESISTANCE ANALYSIS -- 6.2.1 Approach -- 6.2.2 Determination of Input Convection -- 6.2.3 Fire-Resistance Performance -- 6.2.4 Typical Fire-Resistance Analysis -- 6.3 PRESSURE TRANSDUCER RUPTURE -- 6.3.1 Approach -- 6.3.2 Determination of Flow Rate -- 6.3.3 Thermal Performance -- 6.3.4 Effect of Orifice on Response -- 6.3.5 Typical Pressure Transducer Rupture Analysis -- 6.4 HUMIDITY ANALYSIS -- 6.4.1 Humidity Relationships -- 6.4.2 Typical Humidity Calculation -- 6.4.3 Humidity Life Equivalence -- 6.4.4 Typical Humidity Life Equivalence -- 6.5 PRESSURE-DROP ANALYSIS -- 6.5.1 Pressure-Drop Relationship -- 6.5.2 Friction Factor -- 6.5.3 Effect of Bends in Cooling Path -- 6.5.4 Non-Circular Tubes -- 6.5.5 Typical Pressure-Drop Analysis -- 6.6 SIMILARITY CONSIDERATIONS -- 6.6.1 Background -- 6.6.2 Fluid Flow Similarity -- 6.6.3 Deriving Similarity Relationships -- 6.6.4 Typical Similarity Analysis -- 6.7 ENERGY-BASED METHODS -- 6.7.1 Background -- 6.7.2 Drop-Test Analysis -- 6.7.3 Impact Analysis of Equipment with Initial Velocity -- 6.7.4 Non-Elastic Energy Storage -- 6.7.5 Stress Calculations -- 6.7.6 Typical Drop-Test Analysis -- 6.8 FACTORS IN RECENT DEVELOPMENTS -- 6.9 VERIFICATION -- 6.10 OTHER ANALYSIS CHECKLIST -- 6.10.1 Applicable to All Analyses -- 6.10.2 Applicable to Fire-Resistance Analysis -- 6.10.3 Applicable to Pressure Transducer Rupture -- 6.10.4 Applicable to Humidity Analysis -- 6.10.5 Applicable to Pressure-Drop Analysis -- 6.10.6 Applicable to Similarity Analysis -- 6.10.7 Applicable to Energy-Based Methods -- 6.10.8 Environmental Data Required -- 6.10.9 Material Properties Required -- 6.11 REFERENCES -- Chapter 7: Analysis of Test Data. 7.1 BACKGROUND -- 7.2 PLANNING TESTS -- 7.2.1 Test Approach -- 7.2.2 Instrumentation -- 7.2.3 Test Levels and Duration -- 7.2.4 Sample Size -- 7.2.5 Trade-offs -- 7.3 DATA ANALYSIS -- 7.3.1 Thermal Performance Data Analysis -- 7.3.2 Typical Thermal Data Analysis -- 7.3.3 Vibration Data Analysis -- 7.3.4 Typical Vibration Data Analysis -- 7.3.5 Life Data Analysis -- 7.3.6 Typical Life Data Analysis -- 7.3.7 Thermal Expansion Data Analysis -- 7.3.8 Typical Thermal Expansion Data Analysis -- 7.4 VERIFICATION -- 7.5 TEST DATA ANALYSIS CHECKLIST -- 7.5.1 Applicable to Test Planning -- 7.5.2 Applicable to Thermal Data Analysis -- 7.5.3 Applicable to Vibration Data Analysis -- 7.5.4 Applicable to Life Analysis -- 7.5.5 Applicable to Expansion Measurement -- 7.5.6 Other Data Required -- 7.6 REFERENCES -- Chapter 8: Reporting and Verification -- 8.1 INTRODUCTION -- 8.2 REPORTING -- 8.2.1 Summary -- 8.2.2 Objective -- 8.2.3 Description -- 8.2.4 Approach -- 8.2.5 Assumptions -- 8.2.6 Testing -- 8.2.7 Results -- 8.2.8 Conclusions/Recommendations -- 8.2.9 Figures and Tables -- 8.2.10 References -- 8.2.11 Appendix -- 8.3 VERIFICATION -- 8.3.1 Verification of Approach -- 8.3.2 Verification of Source Material -- 8.3.3 Result Verification -- 8.4 REPORTING/VERIFICATION CHECKLIST -- 8.4.1 Applicable to Reporting -- 8.4.2 Applicable to Verification -- 8.5 REFERENCES -- Appendix A - Abbreviations -- Appendix B - Unit Conversions -- Index. https://cds.cern.ch/auth.py?r=EBLIB_P_5379035 ebook ebook EBL Electronic packaging EBL Mechanical engineering EBL201908 Engineering SzGeCERN BOOK n 201932 21 PUBLIC BOOK DELETED 2685370 SzGeCERN 20210421202108.0 9781119001218 electronic version electronic version 9781119001195 print version oai:cds.cern.ch:2685370 cerncds:BOOK EBL 4334741 eng HD30.2 658.40380285 Murray, Dan Tableau your data! fast and easy visual analysis with tableau software 2nd ed. Hoboken, NJ John Wiley & Sons 2016 714 p ebook Intro -- Titlepage -- Copyright -- About the Author -- About the Technical Editor -- Acknowledgments -- Introduction: Overview of the Book and Technology -- How This Book Is Organized -- Who Should Read This Book? -- Tools You Will Need -- What's on the Companion Website? -- Summary -- Part I: Desktop -- Chapter 1: Creating Visual Analytics with Tableau Desktop -- The Shortcomings of Traditional Information Analysis -- The Business Case for Visual Analysis -- Tableau's Desktop Tools -- Introducing the Tableau Desktop Workspace -- Summary -- Chapter 2: Connecting to Your Data -- Chapter 3: Building Your First Visualization -- Chapter 4: Creating Calculations to Enhance Data -- What Is Aggregation? -- What Are Calculated Fields and Table Calculations? -- Chapter 5: Using Maps to Improve Insight -- New Map Features -- Creating a Standard Map View -- Chapter 6: Developing an Ad Hoc Analysis Environment -- Data Discovery as a Creative Process -- Providing Self-Service Ad Hoc Analysis with Parameters -- Chapter 7: Tips, Tricks, and Timesavers -- Saving Time and Improving Formatting -- Customizing Shapes, Colors, Fonts, and Images -- Advanced Chart Types -- Chapter 8: Bringing It All Together with Dashboards -- How Dashboards Facilitate Analysis and Understanding -- How Tableau Improves the Dashboard-Building Process -- The Wrong Way to Build a Dashboard -- The Right Way to Build a Dashboard -- Building Your First Advanced Dashboard -- Sharing Your Dashboard with Tableau Reader -- Using the Tableau Performance Recorder to Improve Load Speed -- Sharing Dashboards with Tableau Online or Tableau Server -- Chapter 9: Designing for Mobile -- The Physics of Mobile Consumption -- Security Considerations for Mobile Consumption -- Offline Access -- Typical Mobile Usage Patterns -- Design Best Practices for Mobile Consumption -- A Tablet Dashboard Example. Mobile Authoring and Editing -- A Note on Project Elastic -- Chapter 10: Conveying Your Findings with Stories -- Turning Analysis into Insight -- Building a Story -- Formatting Story Points -- Sharing Your Story Point Deck -- Part II: Server -- Chapter 11: Installing Tableau Server -- What's New in Version 9? -- Reasons to Deploy Tableau Server -- Licensing Options for Tableau Server and Tableau Online -- Determining Your Hardware and Software Needs -- New Feature: Persistent Query Cache -- Determining What Kind of Server License to Purchase -- Tableau Server's Architecture -- Sizing the Server Hardware -- Environmental Factors That Can Affect Performance -- Configuring Tableau Server for the First Time -- Security Options -- Managing Ownership Through Hierarchy -- Permissions -- What Is the Data Server? -- When and How to Deploy Server on Multiple Physical Boxes -- Deploying Tableau Server in High Availability Environments -- Leveraging Existing Security with Trusted Authentication -- Deploying Tableau Server in Multi-National Environments -- Tableau Server Performance Recorder -- Performance-Tuning Tactics -- Managing Tableau Server in the Cloud -- Monitoring Activity on Tableau Server -- Editing Server Settings and Monitoring Licensing -- Partner Add-on Toolkits -- Chapter 12: Managing Tableau Server -- Managing Published Dashboards in Tableau Server -- Navigating Tableau Server -- Organizing Reports for Consumption -- Options for Securing Reports -- Improve Efficiency with the Data Server -- Consuming Information in Tableau Server -- Authoring and Editing Reports via Server -- What Is Required to Author Reports on the Web? -- Saving and Exporting via the Web-Tablet Environment -- Sharing Connections, Data Models, and Data Extracts -- Embedding Tableau Reports Securely on the Web -- When Your Reports Are a Piece of a Larger SaaS Offering. Using Trusted Ticket Authentication as an Alternative Single Sign-on Method -- Using Subscriptions to Deliver Reports via E-mail -- Chapter 13: Automating Tableau Server -- Tableau Server's APIs -- What Do tabcmd and tabadmin Do? -- Automating Extracts with the Extract API -- REST API -- Part III: Case Studies -- Chapter 14: Ensuring a Successful Tableau Deployment -- Deploying Tableau-Lessons Learned -- Effective Use of Consultants -- The Tableau User Group at Cigna -- Taking Care of Vizness -- Part IV: Appendixes -- Appendix A: Tableau's Product Ecosystem -- Tableau Desktop -- Tableau Server -- Tableau Online -- Tableau Public -- Tableau Reader -- Tableau Mobile -- Project Elastic -- Power Tools for Tableau -- Appendix B: Supported Data Source Connections -- Windows Connections -- Mac OS X Connections -- Appendix C: Keyboard Shortcuts -- Appendix D: Recommended Hardware Configurations -- Tableau Desktop for Windows: Professional and Personal Editions -- Tableau Desktop for Mac OS X: Professional and Personal Editions -- Virtual Environments -- Tableau Server -- Web Browsers -- Hardware Guidelines -- Tableau Server User Authentication and Security -- Virtual Environments -- Internationalization -- Appendix E: Understanding Tableau Functions -- Organization and Key for Appendix E -- R Integration via Script Functions -- Other Specialized Functions -- Alphabetical Function List-Summary -- Appendix F: Companion Website -- Glossary -- End-User License Agreement. EBL201908 Information Transfer and Management SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4334741 ebook n 201932 201908 21 PUBLIC https://catalogue.library.cern/legacy/2685370 BOOK MIGRATED 2685362 SzGeCERN 20200501234724.0 9780203908600 electronic version electronic version EBL 216412 eng S592.3.S66 2001 658.403 Smith, Keith A Soil and environmental analysis physical methods, revised, and expanded 2nd ed. Baton Rouge, LA CRC Press 2000 651 p Books in soils, plants, and the environment Intro -- Preface -- Contents -- Contributors -- Soil Water Content -- Matric Potential -- Water Release Characteristic -- Hydraulic Conductivity of Saturated Soils -- Unsaturated Hydraulic Conductivity -- Infiltration -- Particle Size Analysis -- Bulk Density -- Liquid and Plastic Limits -- Penetrometer Techniques in Relation to Soil Compaction and Root Growth -- Tensile Strength and Friability -- Root Growth: Methods of Measurement -- Gas Movement and Air-Filled Porosity -- Soil Temperature Regime -- Soil Profile Description and Evaluation -- Index. Reviews a wide range of methods for soil physical analysis. Considers applications, accuracy, measurement time, and cost of equipment. Provides examples of applications.... Mullins, Chris E 9780824704148 print version oai:cds.cern.ch:2685362 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_216412 ebook ebook EBL201908 Information Transfer and Management SzGeCERN BOOK n 201932 21 PUBLIC BOOK DELETED 2685167 SzGeCERN 20210421202117.0 9781787780323 oai:cds.cern.ch:2685167 cerncds:BOOK SAFARI on1109957511 OCoLC 1109957511 2018487146 eng TS155.7 Sadiq, Naeem ISO 14001 step by step a practical guide 2nd ed. Ely IT Governance Publishing 2019 mult. p ebook SAF201908 SzGeCERN Computing and Computers SAF ISO 14000 Series Standards SAF Environmental protection SAF Industrial management BOOK Khan, Asif Hayat https://learning.oreilly.com/library/view/-/9781787780347/?ar ebook n 201932 21 PUBLIC https://catalogue.library.cern/legacy/2685167 BOOK MIGRATED 2685163 SzGeCERN 20210421202117.0 9789402409048 electronic version electronic version print version 9789402409031 print version 9789402409055 print version 9789402414325 DOI 10.1007/978-94-024-0904-8 ebook oai:cds.cern.ch:2685163 cerncds:BOOK eng TA404.6 620.11 23 Performance assessment of concrete structures and engineered barriers for nuclear applications conclusions of RILEM TC 226-CNM Dordrecht Springer 2016 ebook RILEM state-of-the-art reports 2213-204X 21 1 Some definitions and terminology -- 1.1 Service Life -- 1.2 Long-term behaviour -- 1.3 Ageing Management -- References -- 2 Materials and Properties -- 2.1 Introduction -- 2.2 Blended cements and hydrated phase prediction -- 2.3 Characterization of low pH-cementitious materials -- 2.4 Fiber reinforced and advanced cement-based materials -- 2.5 Transport Properties -- 2.6 Coupled Phenomena and Materials Behaviour -- 2.7 Carbonation and Oxidation of Cementitious Materials -- 2.8 Leaching -- 2.9 Desiccation and pre-cracking in cement pastes and mortars -- 2.10 Understanding Durability and Performance in the Context of Specific Applications -- 2.11 Integration for Application to Engineering Systems -- 2.12 RILEM TC-226-CNM recommendations for future R&D -- References -- 3 Corrosion -- 3.1 Introduction -- 3.2 Corrosion of metals in concrete for nuclear applications -- 3.3 Corrosion mechanisms -- 3.4 Corrosion modelling -- 3.5 Corrosion test programmes -- 3.6 Effects of concrete cracking on corrosion behaviour -- 3.7 RILEM TC-226-CNM recommendations for future R&D -- References -- 4 Aging Management of Concrete Structures of NPPs -- 4.1 Introduction -- 4.2 Aging Management of Concrete Structures of NPPs -- 4.3 Conclusion -- 4.4 RILEM TC-226-CNM recommendations for future R&D -- References -- 5 Waste Management and Performance Assessment -- 5.1 Introduction -- 5.2 Role and durability of cement barriers in waste storage and disposal -- 5.3 Impact of gas generation and carbonation of cement systems -- 5.4 Conclusions -- 5.5 RILEM TC-226-CNM recommendations for future R&D -- References -- 6 Conclusions.  . The main outcomes of RILEM TC-226-CNM are summarized in this book. Key input was provided by researchers from countries that are main contributors in the R&D, design, construction, operation, and regulation of waste nuclear reinforced concrete facilities. Nuclear power plants and many of the facilities and structures used for the management of radioactive waste materials generated by the fuel cycle use concrete in their construction. RILEM TC 226 CNM covered several areas including functional and performance requirements for concrete structures; degradation processes; phenomenological modelling, field experiences, tests approaches, instrumentation and monitoring methods dedicated to performance assessments; service-life models; aging Management of Nuclear Power Plants, repair techniques; codes and standards specific to radioactive waste facilities.  . Engineering SPR201908 SzGeCERN Engineering SPR Surfaces (Physics) SPR Civil engineering SPR Environmental protection SPR Characterization and Evaluation of Materials SPR Nuclear Energy SPR Civil Engineering SPR Effects of RadiationRadiation Protection BOOK L'Hostis, Valérie ed. Gens, Robert ed. SPR n 201932 201908 21 PUBLIC https://catalogue.library.cern/legacy/2685163 BOOK MIGRATED 2685066 SzGeCERN 20210422083205.0 9783030198947 electronic version electronic version 9783030198930 print version 9783030198954 print version 9783030198961 print version DOI 10.1007/978-3-030-19894-7 e-proceedings oai:cds.cern.ch:2685066 cerncds:CONF eng TA401-492 23 620.11 20180809 International Conference on Physics and Mechanics of New Materials and Their Applications Busan, South Korea 9 - 11 Aug 2018 2018 busan20180809 KR PHENMA 2018 20180811 Cham Springer 2019 ebook Springer proceedings in physics 224 0930-8989 From the contents: Effects of Modifying with Simple (MnO2, CuO) and Combined (MnO2+NiO, Bi2O3+Fe2O3) Dopants of Multi-element Media Based on Alkali Niobates -- Fracture Prediction of the Self-adjusting File Using Force and Vibration Signature Analysis -- Application of Deep Convolutional Neural Networks in the Defects Identification Problem -- Identification of Properties of a Piezopolymer Functionally Graded Disc in the Analysis of Radial Oscillations -- New Theory of Laser: Method of Density Matrix -- The Effect of High-Voltage Nanosecond Pulses on the Structural Defects and Technological Properties of Natural Dielectric Minerals -- Influence of Activity of Mineral Additives on Physico-Mechanical Properties of Concrete Compositions -- Rapid in-situ Remediation of Glass Fiber Wind Turbine Blades Using UV Curing Composites -- Web-application Development for Network Access to the FEM Modules of the ACELAN Package -- MEMS accelerometer with SAW -- Magnetic Particles Detections in Biological Objects -- Deep UV Surface Acoustic Wave ZnO Based Photodetectors -- Elastic Properties of CNT-reinforced Silver Nanocomposite Using FEM -- Mathematical Modeling of Indentation Process for Layered Sample Taking into Account Plastic Properties of Layers Material -- Stress-Strain State in Transverse Isotropic Plane-Layered Media at Pulse Impacts -- Growth of the Nanometer Column Zinc Oxide by Hydrothermal Method for Fabrication of the Hydrophone Acoustics Sensors. This book includes selected, peer-reviewed contributions from the 2018 International Conference on “Physics and Mechanics of New Materials and Their Applications”, PHENMA 2018, held in Busan, South Korea, 9–11 August 2018. Focusing on manufacturing techniques, physics, mechanics, and applications of modern materials with special properties, it covers a broad spectrum of nanomaterials and structures, ferroelectrics and ferromagnetics, and other advanced materials and composites. The authors discuss approaches and methods in nanotechnology; newly developed, environmentally friendly piezoelectric techniques; and physical and mechanical studies of the microstructural and other properties of materials. Further, the book presents a range of original theoretical, experimental and computational methods and their application in the solution of various technological, mechanical and physical problems. Moreover, it highlights modern devices demonstrating high accuracy, longevity and the ability to operate over wide temperature and pressure ranges or in aggressive media. The developed devices show improved characteristics due to the use of advanced materials and composites, opening new horizons in the investigation of a variety of physical and mechanical processes and phenomena. Physics and astronomy SPR201908 SzGeCERN Other Fields of Physics SPR Materials SPR Chemistry SPR Structural Materials SPR Nanoscale Science and Technology SPR Electrochemistry SPR Semiconductors SPR Nanotechnology and Microengineering SPR Ceramics, Glass, Composites, Natural Materials CONFERENCE PROCEEDINGS Parinov, Ivan ed. Chang, Shun-Hsyung ed. Kim, Yun-Hae ed. Advanced materials PHENMA 2018 Acronym 201908 SPR n 201931 42 PUBLIC https://catalogue.library.cern/legacy/2685066 PROCEEDINGS MIGRATED 2685046 SzGeCERN 20210421202119.0 9783030163686 electronic version electronic version 9783030163679 print version 9783030163693 print version 9783030163709 print version DOI 10.1007/978-3-030-16368-6 ebook oai:cds.cern.ch:2685046 cerncds:BOOK eng QA276-280 23 519.5 Krickeberg, Klaus Epidemiology key to public health 2nd ed. Cham Springer 2019 ebook Statistics for biology and health 1431-8776 The idea of epidemiology -- Uses and applications of epidemiology -- Some case studies and situation analyses -- Infectious diseases: descriptive epidemiology, transmissions, surveillance, control -- Infectious diseases: modelling, immunity -- Diarrhoea and cholera -- Tuberculosis and malaria -- Dengue fever -- Viral hepatitis -- HIV/AIDS -- The origin of information: registers and health information systems -- The origin of information: sampling -- Descriptive data analysis and statistics -- The normal law and applications: Sample size, confidence intervals, tests -- Basic concepts of epidemiology -- Cross-sectional studies -- Cohort studies -- Clinical (therapeutic) trials -- Clinical epidemiology -- Case-control studies -- Confounding -- Epidemiology of cancer -- Epidemiology of cardiovascular diseases -- Community studies -- Nutritional and environmental epidemiology -- Social and genetic epidemiology -- Some practical considerations around epidemiologic studies -- What is missing? -- The role of epidemiology in building coherent systems of public health. This unique textbook presents the field of modern epidemiology as a whole; it does not restrict itself to particular aspects. It stresses the fundamental ideas and their role in any situation of epidemiologic practice. Its structure is largely determined by didactic viewpoints. Epidemiology is the art of defining and investigating the influence of factors on the health of populations. Hence the book starts by sketching the role of epidemiology in public health. It then treats the epidemiology of many particular diseases; mathematical modelling of epidemics and immunity; health information systems; statistical methods and sample surveys; clinical epidemiology including clinical trials; nutritional, environmental, social, and genetic epidemiology; and the habitual tools of epidemiologic studies. The book also reexamines the basic difference between the epidemiology of infectious diseases and that of non-infectious ones. The organization of the topics by didactic aspects makes the book ideal for teaching. All examples and case studies are situated in a single country, namely Vietnam; this provides a particularly vivid picture of the role of epidemiology in shaping the health of a population. It can easily be adapted to other developing or transitioning countries. This volume is well suited for courses on epidemiology and public health at the upper undergraduate and graduate levels, while its specific examples make it appropriate for those who teach these fields in developing or emerging countries. New to this edition, in addition to minor revisions of almost all chapters: • Updated data about infectious and non-infectious diseases • An expanded discussion of genetic epidemiology • A new chapter, based on recent research of the authors, on how to build a coherent system of Public Health by using the insights provided by this volume. . Mathematics and statistics SPR201908 SzGeCERN Mathematical Physics and Mathematics SPR Epidemiology BOOK Van Trong, Pham Thi My Hanh, Pham 1st ed. 2012 1499223 edition 201908 SPR n 201931 21 PUBLIC https://catalogue.library.cern/legacy/2685046 BOOK MIGRATED 2685032 SzGeCERN 20210421202121.0 9783030212056 electronic version electronic version 9783030212049 print version 9783030212063 print version 9783030212070 print version DOI 10.1007/978-3-030-21205-6 ebook oai:cds.cern.ch:2685032 cerncds:BOOK eng QC19.2-20.85 23 519 Towards mathematics, computers and environment a disasters perspective Cham Springer 2019 ebook Preface -- Numerical atmospheric modelling -- An overview of the El Niño, La Niña and the Southern Oscillation phenomena: theory, observations and modeling links -- Mathematical homogenization and integral transform-based multilayer methods -- The earthquake's mathematics -- Waves propagation and flood by tsunami -- From complex systems theory to disasters risk reduction management -- Bayesian analysis for natural threats and hazards -- Time series analysis applied to disaster risk reduction data -- Data mining approaches to the real-time monitoring and early warning of convective weather using lightning data -- Detection of forest burn stages using remote sensing Images and stochastic distances -- Digital humanities and big microdata: new approaches for demographic research -- Modelling and predicting social and geopolitical disasters as extreme events: A case study considering the dynamics of international armed conflicts. With relevant, timely topics, this book gathers carefully selected, peer-reviewed scientific works and offers a glimpse of the state-of-the-art in disaster prevention research, with an emphasis on challenges in Latin America. Topics include studies on surface frost, an extreme meteorological event that occasionally affects parts of Argentina, Bolivia, Peru, and southern Brazil, with serious impacts on local economies; near-ground pollution concentration, which affects many industrial, overpopulated cities within Latin America; disaster risk reduction and management, which are represented by mathematical models designed to assess the potential impact of failures in complex networks; and the intricate dynamics of international armed conflicts, which can be modeled with the help of stochastic theory. The book offers a valuable resource for professors, researchers, and students from both mathematical and environmental sciences, civil defense coordinators, policymakers, and stakeholders. Mathematics and statistics SPR201908 SzGeCERN Mathematical Physics and Mathematics BOOK Santos, Leonardo ed. Negri, Rogério ed. Carvalho, Tiago ed. 201908 SPR n 201931 21 PUBLIC https://catalogue.library.cern/legacy/2685032 BOOK MIGRATED 2685018 SzGeCERN 20210421202123.0 9783030207830 electronic version electronic version 9783030207823 print version 9783030207847 print version 9783030207854 print version DOI 10.1007/978-3-030-20783-0 ebook oai:cds.cern.ch:2685018 cerncds:BOOK eng QC1-75 23 530 Boerner, Herbert Ball lightning a popular guide to a longstanding mystery in atmospheric electricity Cham Springer 2019 ebook Introduction -- Ball Lightning: Observers’ Tales -- The Search for Photographic Evidence -- A Bit of Philosophy, or What Has a Razor to Do with Ball Lightning? -- Organizing and Analyzing the Observations -- Electrical Discharges, Coronas, and Streamers -- Thunderstorms and Lightning -- BL: Well Documented Cases of Copious Production -- The Link Between Lightning Physics and Ball Lightning -- Some People Just Won’t Believe It: The Skeptic’s View -- Ball Lightning Theories -- BL Experiments -- Wrapping It All Up -- Appendix -- References. Ball lightning is an enigma. These luminous objects that appear occasionally during thunderstorms and can reach several meters in diameter have been a mystery to science for about 200 years. Despite several thousands of reported observations, their nature is still unknown. In this book, well documented cases of ball lightning are described and used to unravel some aspects of this mysterious form of atmospheric electricity. Throughout the book, the author discusses the various facets of the problem in an accessible but rigorous style, delivering a readable and informative text that will captivate the curious reader. He finally reaches the surprising conclusion that the solution to this puzzle may have been hidden in plain sight for many years. A foreword by Earle Williams, leading lightning researcher at MIT, introduces the book. Physics and astronomy SPR201908 SzGeCERN Other Fields of Physics SPR Popular Science in Physics SPR Geophysics and Environmental Physics BOOK 201908 SPR n 201931 21 PUBLIC https://catalogue.library.cern/legacy/2685018 BOOK MIGRATED 2690974 20210715030742.0 oai:cds.cern.ch:2690974 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI bibmatch 10.1088/1361-6382/ab4974 arXiv oai:arXiv.org:1908.11174 oai:inspirehep.net:1751759 https://inspirehep.net/api/oai2d Inspire 2021-06-29T10:36:19Z 2021-07-14T19:21:24Z marcxml true Inspire 1751759 arXiv arXiv:1908.11174 astro-ph.IM eng Cirone, A. ORCID:0000-0003-4299-8609 alessio.cirone@ge.infn.it Genoa U. INFN, Genoa INFN, Sezione di Genova, I-16146 Genova, Italy Dipartimento di Fisica, Università degli Studi di Genova, I-16146 Genova, Italy arXiv Investigation of magnetic noise in Advanced Virgo 2019-10-18 2019-08-29 14 p IOP The advanced Virgo (AdV) sensitivity might be influenced by the effects of environmental noise, in particular magnetic noise (MN). In order to show the impact on the gravitational-wave strain signal h(t) and on the AdV sensitivity, we must understand the coupling between the environmental magnetic activity and the strain. The relationship between the environmental noise—measured by a physical environment monitor (PEM)—and h(t) is investigated using injection studies, where an intentional stimulus is introduced and the responses of both PEM sensors and the instrument are analyzed. We also present the most outstanding measurements and results obtained from both the characterization and the mitigation studies of the environmental MN. Results show that MN does not affect AdV sensitivity up to 100 Mpc in BNS range. arXiv The Advanced Virgo (AdV) sensitivity might be influenced by the effects of environmental noise, in particular magnetic noise (MN). In order to show the impact on the gravitational-wave strain signal h(t) and on the AdV sensitivity, we must understand the coupling between the environmental magnetic activity and the strain. The relationship between the environmental noise - measured by a physical environment monitor (PEM) - and h(t) is investigated using injection studies, where an intentional stimulus is introduced and the responses of both PEM sensors and the instrument are analyzed. We also present the most outstanding measurements and results obtained from both the characterization and the mitigation studies of the environmental MN. Results show that MN does not affect AdV sensitivity up to $\approx 100$ Mpc in BNS range. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Publication © 2019 IOP Publishing Ltd arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques arXiv gr-qc SzGeCERN General Relativity and Cosmology arXiv astro-ph.IM SzGeCERN Astrophysics and Astronomy CERN ARTICLE Fiori, I. EGO, Pisa European Gravitational Observatory (EGO), I-56021 Cascina, Pisa, Italy Paoletti, F. ORCID:0000-0001-8898-1963 INFN, Pisa INFN, Sezione di Pisa, I-56127 Pisa, Italy Perez, M.M. Barcelona, IFAE IFAE, Barcelona Institute of Science and Technology, Barcelona, and ICREA, Spain Rodríguez, A.R. CERN Erice, Majorana Ctr. IFAE, Barcelona Institute of Science and Technology, Barcelona, and ICREA, Spain Swinkels, B.L. ORCID:0000-0002-3066-3601 NIKHEF, Amsterdam Nikhef, Science Park 105, 1098 XG Amsterdam, The Netherlands Vazquez, A.M. Mexico U. IFAE, Barcelona Institute of Science and Technology, Barcelona, and ICREA, Spain Gemme, G. ORCID:0000-0002-1127-7406 Enrico Fermi Ctr., Rome Genoa U. INFN, Genoa INFN, Sezione di Genova, I-16146 Genova, Italy Chincarini, A. ORCID:0000-0003-4094-9942 INFN, Genoa INFN, Sezione di Genova, I-16146 Genova, Italy 225004 22 Class. Quantum Gravity 36 2019 1519781 1295269 http://cds.cern.ch/record/2690974/files/1908.11174.pdf Fulltext 1519782 170037 http://cds.cern.ch/record/2690974/files/figure8a.png 00010 Magnetic noise projection with coherence. a) Maximum coherence at each frequency between the strain channel and the 3 magnetic probes in the "Central Building" (blue line); the dashed red line indicates the statistical significance level of the coherence, calculated according to the 95$\%$ confidence level of the coherence distribution between randomly resampled data (orange line). b) Related magnetic noise projection (blue for statistically reliable bins, grey for coherence below significance level), compared to the most recent one obtained by the far-field injections (red diamonds) and the Advanced Virgo sensitivity (orange line). 1519783 48859 http://cds.cern.ch/record/2690974/files/figure10b.png 00014 "Finite Element Analysis" of two possible magnetic field shielding solutions: a) the Helmholtz coils and a spherical shell (different shapes and sizes). b) Longitudinal studies (along z) of the normalized reduction of the magnetic field. c) Orthogonal studies (along y) within a height range of [-1,7] m, along the "Tower" axis. d) Frequency evolution of the normalized field at the Test Mass location. 1519784 41473 http://cds.cern.ch/record/2690974/files/figure10c.png 00015 "Finite Element Analysis" of two possible magnetic field shielding solutions: a) the Helmholtz coils and a spherical shell (different shapes and sizes). b) Longitudinal studies (along z) of the normalized reduction of the magnetic field. c) Orthogonal studies (along y) within a height range of [-1,7] m, along the "Tower" axis. d) Frequency evolution of the normalized field at the Test Mass location. 1519785 42589 http://cds.cern.ch/record/2690974/files/figure10d.png 00016 "Finite Element Analysis" of two possible magnetic field shielding solutions: a) the Helmholtz coils and a spherical shell (different shapes and sizes). b) Longitudinal studies (along z) of the normalized reduction of the magnetic field. c) Orthogonal studies (along y) within a height range of [-1,7] m, along the "Tower" axis. d) Frequency evolution of the normalized field at the Test Mass location. 1519786 81262 http://cds.cern.ch/record/2690974/files/figure3b.png 00004 Frequency evolution of the West-End Tower (WET) shielding power: a) The 3 "injection coil - external magnetic probe" configurations for their positioning inside the experimental area: coil at 7.3 m, probe near the WET (config. 1); coil at 10.3 m, probe near the WET (config. 2); coil at 6.8 m, specular probe (config. 3). b) The measurement results, along with the fits to a first order lower pass filter model of Butterworth type. 1519787 107914 http://cds.cern.ch/record/2690974/files/figure10a.png 00013 "Finite Element Analysis" of two possible magnetic field shielding solutions: a) the Helmholtz coils and a spherical shell (different shapes and sizes). b) Longitudinal studies (along z) of the normalized reduction of the magnetic field. c) Orthogonal studies (along y) within a height range of [-1,7] m, along the "Tower" axis. d) Frequency evolution of the normalized field at the Test Mass location. 1519788 89286 http://cds.cern.ch/record/2690974/files/figure6b.png 00008 114.8 Hz line injection at "Central Building". It is readily visible by the 3 single-axis magnetic probes (a) and the interferometer (b), where the blue peak stands out against the reference orange curve. 1519789 101745 http://cds.cern.ch/record/2690974/files/figure6a.png 00007 114.8 Hz line injection at "Central Building". It is readily visible by the 3 single-axis magnetic probes (a) and the interferometer (b), where the blue peak stands out against the reference orange curve. 1519790 152648 http://cds.cern.ch/record/2690974/files/figure8b.png 00011 Magnetic noise projection with coherence. a) Maximum coherence at each frequency between the strain channel and the 3 magnetic probes in the "Central Building" (blue line); the dashed red line indicates the statistical significance level of the coherence, calculated according to the 95$\%$ confidence level of the coherence distribution between randomly resampled data (orange line). b) Related magnetic noise projection (blue for statistically reliable bins, grey for coherence below significance level), compared to the most recent one obtained by the far-field injections (red diamonds) and the Advanced Virgo sensitivity (orange line). 1519791 59651 http://cds.cern.ch/record/2690974/files/figure7.png 00009 Magnetic coupling measurement. The orange diamond means that the corresponding injected line is detected in the strain channel, while the green star is only an upper limit, due to bad coherence between the injected field and the strain output. The fit to the coupling function is also included. 1519792 98577 http://cds.cern.ch/record/2690974/files/figure5.png 00006 From left to right the "West-End, North-End and Central Buildings" floor plans. The thunderbolt and the blue cylinder correspond respectively to the coil and the probe locations inside the three facilities; the red spots identifies the four TMs and the red lines follow the main laser path. 1519793 123568 http://cds.cern.ch/record/2690974/files/figure4.png 00005 Comparison between three different magnetic noise levels, found near a localized noisy source, before (orange) and after its removal (green) and in correspondence of a particularly low-noise location (blue), inside the "North-End Building". 1519794 103592 http://cds.cern.ch/record/2690974/files/figure2.png 00002 Typical magnetic noise spectra detected at "Central Building" by the 3 permanent single-axis magnetometers used to monitor the magnetic activity in the experimental area. Periodic features and broader structures in the spectrum are easily identifiable as known sources. N, W and V stand respectively for North-South, West-East and Vertical directions. 1519795 121251 http://cds.cern.ch/record/2690974/files/figure3a.png 00003 Frequency evolution of the West-End Tower (WET) shielding power: a) The 3 "injection coil - external magnetic probe" configurations for their positioning inside the experimental area: coil at 7.3 m, probe near the WET (config. 1); coil at 10.3 m, probe near the WET (config. 2); coil at 6.8 m, specular probe (config. 3). b) The measurement results, along with the fits to a first order lower pass filter model of Butterworth type. 1519796 330507 http://cds.cern.ch/record/2690974/files/figure1b.png 00001 a) Top-view drawing of the "North-End Building" experimental area and the main instrumentation. TCS, HVAC and NET stand respectively for "Thermal Compensation System", "Heating, Ventilation and Air Conditioning" and "North-End Tower". b) 3D CAD picture of the relevant infrastructure, which mainly consists of the vacuum-tight enclosure of the interferometer components. 1519797 225414 http://cds.cern.ch/record/2690974/files/figure1a.png 00000 a) Top-view drawing of the "North-End Building" experimental area and the main instrumentation. TCS, HVAC and NET stand respectively for "Thermal Compensation System", "Heating, Ventilation and Air Conditioning" and "North-End Tower". b) 3D CAD picture of the relevant infrastructure, which mainly consists of the vacuum-tight enclosure of the interferometer components. 1519798 276669 http://cds.cern.ch/record/2690974/files/figure9.png 00012 Magnetic noise budget. The relevant Advanced Virgo and Advanced Virgo+ present and future sensitivity outcomes are shown as reference. The grey band represents the "Finite Element" simulation uncertainty among all the investigated electrical configurations of the payload, which is the mechanical assembly that suspend the test masses. Diamonds represent the far-field magnetic noise injections, performed 2 years apart. 1519781 2847349 http://cds.cern.ch/record/2690974/files/1908.11174.pdf?subformat=pdfa pdfa Preprint 1519781 7821 http://cds.cern.ch/record/2690974/files/1908.11174.gif?subformat=icon icon Preprint 1519781 85246 http://cds.cern.ch/record/2690974/files/1908.11174.jpg?subformat=icon-700 icon-700 Preprint 1519781 9471 http://cds.cern.ch/record/2690974/files/1908.11174.jpg?subformat=icon-180 icon-180 Preprint 13 ARTICLE 2690851 20251201182611.0 oai:cds.cern.ch:2690851 cerncds:TALK eng CERN. Geneva Conference on Mobility at CERN CERN - 500/1-001 - Main Auditorium 2019-09-20T11:00:00 2019-09-20T12:30:00 849318 Conference on Mobility at CERN 2019 2019-09-20 3426 Streaming video Conferences 2019-09-20T11:00:00 <!--HTML--><p><span style="color:black">CERN has launched a process in order to&nbsp;establish&nbsp;its&nbsp;Enterprise Mobility Plan (EMP) with the objective of looking for measures to improve the&nbsp;commuting and&nbsp;professional&nbsp;displacements of its personnel and collaborators.</span></p> <p><span style="color:black">&nbsp;CERN¹s specific activities and&nbsp;geographical environment, CERN status as International&nbsp;Organisation and the environmental and energy&nbsp;efficiency aspects associated to mobility are being&nbsp;considered.&nbsp;In the talk details on the results of the&nbsp;personnel survey on&nbsp;mobility launched in 2018, the analysis of the CERN current mobility&nbsp;modalities&nbsp;and&nbsp;measures under study are presented.&nbsp;</span></p> CERN 2019 Conferences Event TALK CERN MIRALLES, Lluis speaker https://indico.cern.ch/event/849318/ Event details MediaArchive /mnt/master_share/master_data/2019/849318 Absolute master path MediaArchive /2019/849318/849318_en.vtt subtitle subtitle English MediaArchive /2019/849318/849318_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2019/849318/thumbs/20190920104427.png pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2019/849318/849318_desktop_slides_1080p_4000.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 4000 MediaArchive https://lecturemedia.cern.ch/2019/849318/849318_desktop_slides_360p_800.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 800 MediaArchive https://lecturemedia.cern.ch/2019/849318/849318_desktop_slides_480p_1000.mp4 video/mp4 Content: presentation. Resolution: 853x480. Baudrate: 1000 MediaArchive https://lecturemedia.cern.ch/2019/849318/849318_desktop_slides_720p_2000.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 2000 MediaArchive https://lecturemedia.cern.ch/2019/849318/849318_desktop_camera_1080p_4000.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 4000 MediaArchive https://lecturemedia.cern.ch/2019/849318/849318_desktop_camera_360p_800.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 800 MediaArchive https://lecturemedia.cern.ch/2019/849318/849318_desktop_camera_480p_1000.mp4 video/mp4 Content: presenter. Resolution: 853x480. Baudrate: 1000 MediaArchive https://lecturemedia.cern.ch/2019/849318/849318_desktop_camera_720p_2000.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 2000 christine.alliod@cern.ch MIRALLES, Lluis 2019-09-17T12:02:13 2019-09-27T10:28:46 PUBLIC INDICO.849318 https://videos.cern.ch/legacy/record/2690851 Indico CMTE MIGRATED 2688502 SzGeCERN 20210301114355.0 DOI Elsevier 10.1016/j.nimb.2019.07.015 oai:inspirehep.net:1748071 cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1748071 2019-09-04T10:20:09Z 2019-09-05T04:00:09Z marcxml Inspire 1748071 eng Amsler, C Stefan Meyer Inst. Subatomare Phys. Elsevier A ∼100 μm-resolution position-sensitive detector for slow positronium 2019 5 p Elsevier In this work we describe a high-resolution position-sensitive detector for positronium. The detection scheme is based on the photoionization of positronium in a magnetic field and the imaging of the freed positrons with a Microchannel Plate assembly. A spatial resolution of (88±5)  μm on the position of the ionized positronium –in the plane perpendicular to a 1.0 T magnetic field– is obtained. The possibility to apply the detection scheme for monitoring the emission into vacuum of positronium from positron/positronium converters, imaging positronium excited to a selected state and characterizing its spatial distribution is discussed. Ways to further improve the spatial resolution of the method are presented. Publication Elsevier B.V. 2019 SzGeCERN Detectors and Experimental Techniques author Positronium author Imaging CERN Antonello, M INFN, Milan Insubria U., Como Department of Science, University of Insubria, Via Valleggio 11, 22100 Como, Italy Belov, A Moscow, INR Bonomi, G U. Brescia INFN, Pavia INFN Pavia, via Bassi 6, 27100 Pavia, Italy Brusa, R S Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Caccia, M INFN, Milan Insubria U., Como Department of Science, University of Insubria, Via Valleggio 11, 22100 Como, Italy Camper, A CERN Caravita, R INSPIRE-00582911 ORCID:0000-0002-8189-8814 ruggero.caravita@cern.ch CERN Castelli, F INFN, Milan Milan U. Department of Physics “Aldo Pontremoli”, University of Milano, via Celoria 16, 20133 Milano, Italy Cerchiari, G Heidelberg, Max Planck Inst. Comparat, D LAC, Orsay Consolati, G INFN, Milan Milan, Polytech. INFN Milano, via Celoria 16, 20133 Milano, Italy Demetrio, A Kirchhoff Inst. Phys. Di Noto, L INFN, Genoa Genoa U. INFN Genova, via Dodecaneso 33, 16146 Genova, Italy Doser, M CERN Fanì, M CERN Genoa U. INFN, Genoa Department of Physics, University of Genova, via Dodecaneso 33, 16146 Genova, Italy Ferragut, R INFN, Milan Milan Polytechnic INFN Milano, via Celoria 16, 20133 Milano, Italy Fesel, J CERN Gerber, S CERN Giammarchi, M INFN, Milan Gligorova, A Stefan Meyer Inst. Subatomare Phys. Guatieri, F TIFPA-INFN, Trento Trento U. TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Hackstock, P Stefan Meyer Inst. Subatomare Phys. Haider, S CERN Hinterberger, A CERN Kellerbauer, A Heidelberg, Max Planck Inst. Khalidova, O CERN Krasnický, D INFN, Genoa Lagomarsino, V Genoa U. INFN, Genoa INFN Genova, via Dodecaneso 33, 16146 Genova, Italy Lebrun, P Lyon, IPN Malbrunot, C CERN Stefan Meyer Inst. Subatomare Phys. Stefan Meyer Institute for Subatomic Physics, Austrian Academy of Sciences, Boltzmanngasse 3, 1090 Vienna, Austria Mariazzi, S mariazzi@science.unitn.it TIFPA-INFN, Trento Trento U. Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy Matveev, V Moscow, INR Dubna, JINR Joint Institute for Nuclear Research, Dubna, 141980, Russia Müller, S R Kirchhoff Inst. Phys. Nebbia, G INFN, Padua Nedelec, P Lyon, IPN Oberthaler, M Kirchhoff Inst. Phys. Oswald, E CERN Pagano, D U. Brescia INFN, Pavia INFN Pavia, via Bassi 6, 27100 Pavia, Italy Penasa, L Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Petracek, V CTU, Prague Prelz, F INFN, Milan Prevedelli, M U. Bologna (main) Rienaecker, B CERN Robert, J LAC, Orsay Røhne, O M Oslo U. Rotondi, A INFN, Pavia Pavia U. Department of Physics, University of Pavia, via Bassi 6, 27100 Pavia, Italy Sandaker, H Oslo U. Santoro, R INFN, Milan Insubria U., Como Department of Science, University of Insubria, Via Valleggio 11, 22100 Como, Italy Testera, G INFN, Genoa Tietje, I C CERN Widmann, E Stefan Meyer Inst. Subatomare Phys. Wolz, T CERN Yzombard, P Heidelberg, Max Planck Inst. Zimmer, C Heidelberg, Max Planck Inst. CERN Heidelberg U. Max Planck Institute for Nuclear Physics, Saupfercheckweg 1, 69117 Heidelberg, Germany Zurlo, N INFN, Pavia U. Brescia Department of Civil, Environmental, Architectural Engineering and Mathematics, University of Brescia, via Branze 43, 25123 Brescia, Italy 44-48 Nucl. Instrum. Methods Phys. Res., B 457 2019 13 ARTICLE Cassidy, D.B. 1 Eur.Phys.J.,D72,53 Experimental progress in positronium laser physics 72 2018 Charlton, M. Jacobsen, F.M. Deutch, B.I. 2 J.Phys.,B20,L25 20 1987 Charlton, M. 3 Phys.Lett.,A143,143 Antihydrogen production in collisions of antiprotons with excited states of positronium 143 1990 Storry, C.H. Speck, A. Sage, D.L. Guise, N. Gabrielse, G. Grzonka, D. Oelert, W. Schepers, G. Sefzick, T. Pittner, H. Herrmann, M. Walz, J. Hänsch, T.W. Comeau, D. Hessels, E.A. 4 Phys.Rev.Lett.,93,263401 First laser-controlled antihydrogen production 93 2004 CURATOR Kellerbauer, A. 5 Nucl.Instrum.Meth.,B266,351 Proposed antimatter gravity measurement with an antihydrogen beam 266 2008 Brusa, R.S. 6 J.Phys.Conf.Ser.,791,012014 (AEgIS collaboration), The AEgIS experiment at CERN: measuring antihydrogen free-fall in earth’s gravitational field to test WEP with antimatter 791 2017 Doser, M. 7 Class.Quant.Grav.,29,183009 Exploring the WEP with a pulsed cold beam of antihydrogen 29 2012 Perez, P. 8 Hyperfine Interact.,233,21 GBAR collaboration 233 2015 CURATOR Mills, A.P.j. and Leventhal, M. 9 Nucl.Instrum.Meth.,B192,102 Can we measure the gravitational free fall of cold Rydberg state positronium? 192 2002 CURATOR Cassidy, D.B. Hogan, S.D. 10 Int.J.Mod.Phys.Conf.Ser.,30,1450259 Atom control and gravity measurements using Rydberg positronium 30 2014 Oberthaler, M.K. 11 Nucl.Instrum.Meth.,B192,129 Anti-matter wave interferometry with positronium 192 2002 CURATOR Mills, A.P., Shaw, E.D., Leventhal, M., Chichester, R.J., Zuckerman, D.M. 12 Phys.Rev.,B44,5791 Thermal desorption of cold positronium from oxygen-treated al(111) surfaces 44 1991 Liszkay, L., Corbel, C., Perez, P., Desgardin, P., Barthe, M., Ohdaira, T., Suzuki, R., Crivelli, P., Gendotti, U., Rubbia, A., Etienne, M., Walcarius, A. 13 Appl.Phys.Lett.,92,063114 Positronium reemission yield from mesostructured silica films 92 2008 CURATOR Mariazzi, S., Bettotti, P., Larcheri, S., Toniutti, L., Brusa, R.S. 14 Phys.Rev.,B81,235418 High positronium yield and emission into the vacuum from oxidized tunable nanochannels in silicon 81 2010 CURATOR Cassidy, D.B., Hisakado, T.H., Tom, H.W.K., Mills, A.P. 15 Phys.Rev.Lett.,107,033401 Photoemission of positronium from si 107 2011 Jones, A.C.L. Goldman, H.J. Zhai, Q. Feng, P. Tom, H.W.K. Mills, A.P. 16 Phys.Rev.Lett.,114,153201 Monoenergetic positronium emission from metal-organic framework crystals 114 2015 CURATOR Aghion, S. 17 Nucl.Instrum.Meth.,B407,55 (AEgIS collaboration), Characterization of a transmission positron/positronium converter for antihydrogen production 407 2017 Jones, A.C.L. Moxom, J. Rutbeck-Goldman, H.K. Osorno, K.A. Cecchini, G.G. Fuentes-Garcia, M. Greaves, R.G. Adams, D.J. Tom, H.W.K. Mills, A.P. Leventhal, M. 18 Phys.Rev.Lett.,119,053201 119 2017 Alonso, A.M. Cooper, B.S. Deller, A. Gurung, L. Hogan, S.D. Cassidy, D.B. 19 Phys.Rev.,A95,053409 Velocity selection of rydberg positronium using a curved electrostatic guide 95 2017 Amsler, C. 20 Phys.Rev.,A99,033405 (AEgIS collaboration), Velocity-selected production of 2 3 s metastable positronium 99 2019 Lewellen, T.K. 21 Phys.Med.Biol.,53,287 Recent developments in pet detector technology 53 2008 Kowalski, P. Wiślicki, W. Shopa, R.Y. Raczyński, L. Klimaszewski, K. Curcenau, C. Czerwiński, E. Dulski, K. Gajos, A. Gorgol, M. Gupta-Sharma, N. Hiesmayr, B. Jasińska, B. Kapłon, D. Kisielewska-Kamińska, G. Korcyl, T. Kozik, W. Krzemień, E. Kubicz, M. Mohammed, S. Niedźwiecki, M. Pałka, M. Pawlik-Niedźwiecka, J. Raj, K. Rakoczy, K. Rudy, S. Sharma, S. Shivani, M. Silarski, M. Skurzok, B. Zgardzińska, M. Zieliński, P. Moskal 22 Phys.Med.Biol.,63,165008 Estimating the nema characteristics of the j-pet tomograph using the gate package 63 2018 CURATOR Moses, W.W. 23 Nucl.Instrum.Meth.,A648,S236 Fundamental limits of spatial resolution in pet 648 2011 Yang, Y., Bec, J., Zhou, J., Zhang, M., Judenhofer, M.S., Bai, X., Yibao Wu, K.D., Rodriguez, M., Dokhale, P., Shah, K.S., Farrell, R., Qi, J., Cherry, S.R. 24 J.Nucl.Med.,57,1130 A prototype high-resolution small-animal pet scanner dedicated to mouse brain imaging 57 2016 Mills, A.P., Crane, W.S. 25 Phys.Rev.,A31,593 Beam-foil production of fast positronium 31 1985 Gidley, D.W., Mayer, R., Frieze, W.E., Lynn, K.G. 26 Phys.Rev.Lett.,58,595 Glancing angle scattering and neutralization of a positron beam at metal surfaces 58 1987 CURATOR Jones, A.C.L.,Piñeiro, A.M., Roeder, E.E., Rutbeck-Goldman, H.J., Tom, H.W.K., Mills, A.P. 27 Rev.Sci.Instrum.,87,113307 Large-area field-ionization detector for the study of rydberg atoms 87 2016 Cassidy, D.B. Hisakado, T.H. Tom, H.W.K. Mills, A.P. 28 Phys.Rev.Lett.,108,043401 Efficient production of Rydberg positronium 108 2012 Aghion, S. 29 Phys.Rev.,A94,012507 (AEgIS collaboration), Laser excitation of the n = 3 level of positronium for antihydrogen production 94 2016 Camper, A. 30 EPJ Web Conf.,198,00004 (AEgIS collaboration), Imaging a positronium cloud in a 1 tesla 198 2019 refextract 31 Hamamtsu, Mcp assembly: technical information https://www.triumf.ca/sites/default/files/Hamamatsu%20MCP%20guide.pdf CURATOR Dudarev, A. Doser, M. Perini, D. ten Kate, H. 32 IEEE Trans.Appl.Supercond.,21,1721 Design of a superconducting magnet system for the aegis experiment at cern 21 2011 CURATOR Dudarev, A. Bremer, J. Burghart, G. Deront, L. Doser, M. ten Kate, H. Perini, D. Restuccia, F. Ravat, S. Winkler, T. 33 IEEE Trans.Appl.Supercond.,22,4500304 Construction and test of the magnets for the aegis experiment 22 2012 CURATOR Derking, J.H. Bremer, J. Burghart, G. Doser, M. Dudarev, A. Haider, S. 34 AIP Conf.Proc.,1573,195 Development of the cryogenic system of aegis at cern 1573 2014 Aghion, S. 35 Phys.Rev.,A98,013402 (AEgIS collaboration), Producing long-lived 2 3 s ps via 3 3 p laser excitation in magnetic and electric fields 98 2018 CURATOR Aghion, S. 36 Nucl.Instrum.Meth.,B362,86 (AEgIS collaboration), Positron bunching and electrostatic transport system for the production and emission of dense positronium clouds into vacuum 362 2015 CURATOR Mariazzi, S., Bettotti, P., Brusa, R.S. 37 Phys.Rev.Lett.,104,243401 Positronium cooling and emission in vacuum from nanochannels at cryogenic temperature 104 2010 Andresen, G.B. Bertsche, W. Bowe, P.D. Bray, C.C. Butler, E. Cesar, C.L. Chapman, S. Charlton, M. El Nasr, S.S. Fajans, J. Fujiwara, M.C. Gill, D.R. Hangst, J.S. Hardy, W.N. Hayano, R.S. Hayden, M.E. Humphries, A.J. Hydomako, R. Jorgensen, L.V. Kerrigan, S.J. Kurchaninov, L. Lambo, R. Madsen, N. Nolan, P. Olchanski, K. Olin, A. Povilus, A.P. Pusa, P. Sarid, E. Silveira, D.M. Storey, J.W. Thompson, R.I. van der Werf, D.P. Yamazaki, Y. Collaboration, A. 38 Rev.Sci.Instrum.,80,123701 Antiproton, positron, and electron imaging with a microchannel plate/phosphor detector 80 2009 CURATOR Tremsin, A.S., Vallerga, J.V., McPhate, J.B., Siegmund, O.H.W. 39 Nucl.Instrum.Meth.,A787,20 Optimization of high count rate event counting detector with microchannel plates and quad timepix readout 787 2015 2697254 SzGeCERN 20191104151858.0 DOI IOP 10.1088/1748-0221/14/10/P10019 oai:inspirehep.net:1760666 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1760666 2019-10-29T14:37:54Z 2019-10-30T05:00:07Z marcxml Inspire 1760666 eng Romano, S stefano.romano@outlook.com CERN Barcelona, Polytechnic U. UPC, Campus Nord, Calle Jordi Girona, 1-3, Barcelona, Spain IOP RaDoM2: an improved radon dosimeter 2019 IOP A new dosimeter for radon progeny called RaDoM (Radon Dose Monitor) was recently developed at CERN . RaDoM is an active detector able to directly estimate the effective dose due to the radon progeny. The first version, which used the Timepix hybrid pixel detector, a system of filters and a pump, correctly assessed the effective dose in situations where the environmental conditions are characterized by a standard equilibrium factor, but showed low efficiency for low radon concentrations and in clean air environments. In this improved version, RaDoM2, the Timepix has been replaced by a silicon pin diode. This solution has allowed the optimization of the geometry, the pump flow rate and the associated electronics, improving the performance of RaDoM and substantially reducing its manufacturing costs. This paper describes the RaDoM2, its improved performance compared to RaDoM, the cloud and user interface, tests in a radon chamber and on-the-field measurements. publication CC-BY-3.0 IOP http://creativecommons.org/licenses/by/3.0/ publication CERN 2019 CERN Caresana, M Milan, Polytech. Curioni, A CERN Silari, M CERN P10019 10 JINST 14 2019 1526611 3395467 http://cds.cern.ch/record/2697254/files/10.1088_1748-0221_14_10_P10019.pdf Fulltext 13 ARTICLE 2697107 20231208231351.0 oai:cds.cern.ch:2697107 cerncds:FULLTEXT BUL-SA-2019-108 en fr Staff Association FIREFIGHTER AT CERN LES POMPIERS DU CERN 2019 29/10/2019 <!--HTML--> <p><strong>The CERN Fire Brigade - professionals at your service</strong></p> <p>St&eacute;phane Wiand, a CERN firefighter since 2002, has been a delegate with the Staff Association since 2009. His main motivation to join the SA was to understand how CERN works and the decision-making process that impacts both the financial and social conditions of all staff at CERN.</p> <p><img alt="" src="http://cds.cern.ch/record/2697107/files/St%C3%A9phane_image.jpg?subformat=icon" style="height:267px; width:200px" /></p> <p><strong>St&eacute;phane Wiand:</strong> &quot;In the fire brigade, we often have the impression that there is a certain amount of distance between us and the Organization. It is important for me to understand who makes the decisions that govern our lives and how I can influence them.</p> <p><strong>SA: St&eacute;phane, can you tell us about your profession and more generally about the fire brigade?</strong></p> <p><strong>SW:</strong> The CFRS (CERN Fire and Rescue Service) is composed of 48 firefighters working in rotation, a fire chief, on duty officers, seconded firefighters (e.g. at LHC Point 5) and administrative staff, making a total of about 60 people, both males and females. Some have indefinite contracts; others are on limited-duration contracts. It should be noted that there were five new hires in September. About ten nationalities are represented.</p> <p><strong>Rapid interventions with minimal impact on CERN are what counts.</strong></p> <p>The hard and difficult tasks of firefighters present significant risks. The frequency and nature of their interventions, action and prevention strategies require them to use different means depending on the intervention areas, whether above or below ground.</p> <p>It should be noted that being a firefighter at CERN requires a lot of specific knowledge and expertise compared to city firefighters. It is necessary to know perfectly the different components of the CERN environment such as: radiation, electricity, cryogenics, gas, underground etc. The CFRS is also consulted to prevent accidents in confined spaces, in the case of working at heights if expertise is required, and sometimes in the field of environmental protection.</p> <p>The CFRS must be able to intervene quickly and act according to all the specificities of CERN installations. The watchword is to intervene as effectively and quickly as possible in order to limit the impact on these installations and allow science to resume as soon as possible. Each intervention by the fire brigade on site (and especially in the tunnel) involves a chain of consequences on the proper functioning of the machine and this requires people who know CERN perfectly. This feature is also interesting for firefighters who leave CERN and return to their original quarters with this new knowledge. It is a real asset for the rest of their careers.</p> <p>When leaving at the end of a limited duration contract, it is essential to pass on the knowledge to the new firefighters who arrive. This training is essential to ensure perfect team turnover.&nbsp;</p> <p>With a brigade of 48 firefighters, the rotation is ensured. For example, in the specialized ambulance team, 6 firefighters have passed the Swiss Federal Ambulance Technician Examination and 6 others are already being trained. The HUG partnership also works very well. In addition to quality training, the HUG will soon allow ambulance staff to follow more advanced medical protocols for better patient care on the CERN sites. That&#39;s very good news.</p> <p><strong>The Staff Association extinguished fires in the CERN Fire Brigade</strong></p> <p><strong>SA: Can you give us examples where the Staff Association has played an important role in the life of the brigade?</strong></p> <p><strong>SW:</strong> Yes, in 2005/2006, the CFRS had some difficult months.&nbsp; The management at the time had planned to get rid of the CFRS. The future of the service was uncertain, and the period was very complicated for everyone. The operational minimum was no longer guaranteed. Despite this, the brigade was committed to ensuring the protection of CERN and its employees. Some colleagues were on sick leave due to professional exhaustion. The SA contributed greatly, in the background, playing an influential role in preventing the service from disappearing. It was a great source of moral support for those colleagues who were suffering.&nbsp; The incident in the LHC in 2008, on the one hand, and the arrival of the new Director General Rolf Heuer, on the other, provoked a radical shift. Human, material and financial resources were provided and enabled the brigade to get back to working under better conditions. Thank you to Dr.&nbsp;Heuer and the SA.</p> <p>It should be noted that this dynamic, which is conducive to work, is currently continuing: just like the HUG partnership, the tripartite agreements (mutual assistance between CERN firefighters, the Ain and Geneva departments) have been renewed, a new fire training container on the training centre site is in operation and the new SCR (Safety Control Room) project is in progress. The latter is eagerly awaited by the 12 colleagues in charge of the SCR.</p> <p><strong>Further examples of the Staff Association&#39;s influence on the life of the brigade:</strong></p> <p>In 2012, as a firefighter staff representative, I worked with the Staff Association in the CCP subgroup on the revision of Administrative Circular No.&nbsp;25 (circular applicable to those working in the fire service).&nbsp; This circular describes the organisation of the service in terms of working time and rest. A good collaboration between the Staff Association, the fire brigade and management has allowed a long-term revision of the Administrative Circular. In this exercise, the work-life balance was ensured taking into account CERN&#39;s needs and the EU&#39;s recommendations regarding shift work.</p> <p>This experience is a concrete example that being a SA delegate allows you to take part in the decisions that govern procedures and my role as a delegate has also helped my fellow firefighters (through me) to influence the consultation process.</p> <p><strong>SA: </strong>The elections of the delegates of the Staff Association for the next two years are taking place as we speak, have you decided to stand again?</p> <p><strong>SW:</strong> YES of course!</p> <p>Many thanks to St&eacute;phane for his time. For more information on firefighters:<a href="http://hse.cern/fr/content/service-de-secours-et-du-feu" target="_blank">&nbsp;http://hse.cern/fr/content/service-de-secours-et-du-feu</a></p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <!--HTML--> <p><strong>Les pompiers du CERN - des professionnels &agrave; votre service</strong></p> <p>St&eacute;phane Wiand, pompier au CERN depuis 2002, est d&eacute;l&eacute;gu&eacute; &agrave; l&rsquo;association du personnel depuis 2009. Sa principale motivation &agrave; rejoindre l&rsquo;AP &eacute;tait de comprendre le fonctionnement du CERN et le processus de d&eacute;cisions qui impactent les conditions financi&egrave;res et sociales de tout le personnel du CERN.</p> <p><img alt="" src="http://cds.cern.ch/record/2697107/files/St%C3%A9phane_1_image.jpg?subformat=icon" style="height:267px; width:200px" />&nbsp;</p> <p><strong>St&eacute;phane Wiand&nbsp;:</strong> &laquo;&nbsp;Dans la caserne, nous avons souvent l&rsquo;impression de vivre un peu &agrave; part. Il est important pour moi de comprendre qui prend les d&eacute;cisions qui r&eacute;gissent notre vie de CERNOIS et comment je peux&nbsp;les influencer &raquo;</p> <p><strong>AP&nbsp;: St&eacute;phane, peux-tu nous parler de ton m&eacute;tier et plus g&eacute;n&eacute;ralement de la caserne&nbsp;?&nbsp;</strong></p> <p><strong>SW&nbsp;:</strong> Le CFRS (Cern Fire Rescue Service) est &nbsp;compos&eacute; &nbsp;de 48 pompiers en roulement, un chef de service, des officiers en garde jour, des pompiers d&eacute;tach&eacute;s (LHC Point 5 par exemple) et du personnel administratif &nbsp;pour un total d&rsquo;environ 60 &nbsp;personnes. Certains ont un contrat ind&eacute;termin&eacute;&nbsp;; les autres sont en contrat &agrave; dur&eacute;e limit&eacute;e. A noter qu&rsquo;il y a eu 5 nouvelles embauches en septembre. Une dizaine de nationalit&eacute;s sont repr&eacute;sent&eacute;es, hommes et femmes.</p> <p><strong>Ce qui est important, ce sont des interventions rapides en limitant au maximum l&lsquo;impact pour le CERN</strong></p> <p>Les missions des <strong>pompiers</strong>, difficiles et p&eacute;nibles, pr&eacute;sentent des risques importants. La fr&eacute;quence et la nature de leurs <strong>interventions</strong>, les strat&eacute;gies d&rsquo;action et de pr&eacute;vention les obligent &agrave; utiliser des moyens diff&eacute;rents selon les zones d&rsquo;intervention, que ce soit en surface ou en sous-sol.</p> <p>Il faut savoir qu&rsquo;&ecirc;tre pompier au CERN exige beaucoup de connaissances et d&rsquo;expertise sp&eacute;cifiques en comparaison avec les pompiers de ville. Il faut connaitre parfaitement les diff&eacute;rents composants de l&rsquo;environnement CERNOIS comme par exemple&nbsp;: la radiation, l&rsquo;&eacute;lectricit&eacute;, la cryog&eacute;nie, les gaz, les souterrains etc&hellip; Le CFRS est aussi consult&eacute; pour pr&eacute;venir les accidents dans les environnements confin&eacute;s, dans le cas de travaux en hauteur si une expertise est n&eacute;cessaire, et quelquefois dans le domaine de la protection de l&rsquo;environnement.</p> <p>Le CFRS doit pouvoir intervenir rapidement et agir en fonction de toutes les sp&eacute;cificit&eacute;s qui composent les installations. Le mot d&rsquo;ordre est d&rsquo;intervenir le plus efficacement et rapidement possible afin de limiter l&rsquo;impact sur ces installations et permettre &agrave; la science de reprendre au plus vite. Chaque intervention des pompiers sur le site (et surtout dans le tunnel) implique une chaine de cons&eacute;quences sur le bon fonctionnement de la machine et cela n&eacute;cessite des personnes qui connaissent parfaitement le CERN. Cette particularit&eacute; est aussi int&eacute;ressante pour les pompiers qui quittent le CERN et retournent dans leur caserne d&rsquo;origine, forts de ces nouvelles connaissances. C&rsquo;est un vrai atout pour la suite de leur carri&egrave;re.</p> <p>&nbsp;Lors des d&eacute;parts de fin de contrat &agrave; dur&eacute;e d&eacute;termin&eacute;e, Il est primordial de transmettre les connaissances aux nouveaux pompiers qui arrivent. Cette formation est essentielle pour assurer un parfait roulement des &eacute;quipes. &nbsp;</p> <p>Avec une brigade compos&eacute;e de 48 pompiers, le roulement est assur&eacute;. Par exemple, dans l&rsquo;&eacute;quipe &nbsp;sp&eacute;cialis&eacute;e ambulance, 6 pompiers ont eu l&rsquo;examen f&eacute;d&eacute;ral suisse de technicien ambulancier et 6 autres sont d&eacute;j&agrave; en train de se former. Le partenariat HUG fonctionne &eacute;galement tr&egrave;s bien. En plus d&rsquo;une formation de qualit&eacute;, les HUG vont prochainement autoriser le personnel ambulance &agrave; suivre des protocoles m&eacute;dicaux plus pouss&eacute;s pour une meilleure prise en charge des patients sur les sites CERN. C&rsquo;est une tr&egrave;s bonne nouvelle.</p> <p><strong>L&rsquo;AP &eacute;teint le feu des pompiers</strong></p> <p><strong>AP&nbsp;: peux-tu nous donner des exemples o&ugrave; l&rsquo;AP a jou&eacute; un r&ocirc;le important dans la vie de la brigade&nbsp;?</strong></p> <p>SW&nbsp;: Oui en 2005/2006, le CFRS a connu des mois difficiles. &nbsp;La Direction de l&rsquo;&eacute;poque avait le projet de faire disparaitre le CFRS. L&rsquo;avenir du service &eacute;tait incertain et la p&eacute;riode a &eacute;t&eacute; tr&egrave;s compliqu&eacute;e pour tous. Le minimum op&eacute;rationnel n&rsquo;&eacute;tait plus garanti. Malgr&eacute; cela, la brigade avait &agrave; c&oelig;ur d&rsquo;assurer la protection du CERN et de ses employ&eacute;s. Certains coll&egrave;gues sont partis en absence maladie pour &eacute;puisement professionnel. L&rsquo;AP a beaucoup travaill&eacute;, souvent discr&egrave;tement et a jou&eacute; d&rsquo;influence pour &eacute;viter que le service ne disparaisse. Elle a aussi &eacute;t&eacute; d&rsquo;un grand soutien moral pour les coll&egrave;gues en souffrance. &nbsp;La casse du LHC en 2008 d&rsquo;une part, et l&rsquo;arriv&eacute;e du nouveau Directeur g&eacute;n&eacute;ral Rolf Heuer d&rsquo;autre part, ont &eacute;t&eacute; un virage radical. Des moyens humains, mat&eacute;riels et financiers ont &eacute;t&eacute; fournis et ont permis &agrave; la brigade de travailler &agrave; nouveau dans de bonnes conditions. Merci &agrave; M. Heuer et &agrave; l&rsquo;AP.</p> <p>A noter que cette dynamique propice au travail continue actuellement&nbsp;: tout comme le partenariat HUG, les accords tripartite (entraide entre pompiers CERN, d&eacute;partement de l&rsquo;Ain et Gen&egrave;ve) ont &eacute;t&eacute; renouvel&eacute;s, un nouveau container d&rsquo;entrainement au feu sur le site du training center est en fonction et le projet de nouvelle SCR (Safety Control Room) est en cours. Cette derni&egrave;re est attendue avec impatience par les 12 coll&egrave;gues en charge de la SCR.</p> <p><strong>Un autre exemple d&rsquo;influence de l&rsquo;AP sur la vie de la brigade&nbsp;:</strong></p> <p>En 2012, en tant que d&eacute;l&eacute;gu&eacute; du personnel des pompiers, j&rsquo;ai travaill&eacute; avec l&rsquo;AP qui est notre porte-parole au sous-groupe du CCP sur la r&eacute;vision de la Circulaire Administrative n0 25 (circulaire applicable aux titulaires du service du feu).&nbsp; Cette circulaire d&eacute;crit l&rsquo;organisation du service en mati&egrave;re de dur&eacute;e du travail et du repos. Une bonne collaboration entre L&rsquo;AP, les pompiers et le management a permis une r&eacute;vision &agrave; long terme de la Circulaire Administrative. Dans cet exercice, <u>l&rsquo;&eacute;quilibre entre vie professionnelle et vie priv&eacute;e</u> a &eacute;t&eacute; garanti en tenant compte des besoins du CERN et des recommandations de l&rsquo;UE en mati&egrave;re de travail en roulement.</p> <p>Cette exp&eacute;rience est l&rsquo;exemple concret qu&rsquo;&ecirc;tre d&eacute;l&eacute;gu&eacute; &agrave; l&rsquo;AP permet de prendre part aux d&eacute;cisions qui r&eacute;gissent les proc&eacute;dures et mon r&ocirc;le de d&eacute;l&eacute;gu&eacute; a aussi aid&eacute; mes coll&egrave;gues pompiers (par ma voix) &agrave; influencer le processus de concertation.</p> <p>&nbsp;</p> <p><strong>AP&nbsp;:</strong> Les &eacute;lections des d&eacute;l&eacute;gu&eacute;s de l&rsquo;Association du personnel pour les 2 prochaines ann&eacute;es ont lieu en ce moment-m&ecirc;me, as-tu d&eacute;cid&eacute; de te repr&eacute;senter&nbsp;?</p> <p><strong>SW</strong>&nbsp;: Oui bien s&ucirc;r&nbsp;!</p> <p>Un grand merci &agrave; St&eacute;phane pour le temps qu&rsquo;il nous a consacr&eacute;. Pour plus d&rsquo;informations sur les pompiers&nbsp;: <a href="http://hse.cern/fr/content/service-de-secours-et-du-feu" target="_blank">http://hse.cern/fr/content/service-de-secours-et-du-feu</a></p> <p>&nbsp;</p> NO noicon 4 44/2019 CERN Bulletin 4 45/2019 CERN Bulletin 1526495 713668 http://cds.cern.ch/record/2697107/files/Stéphane_image.jpg 1526496 713668 http://cds.cern.ch/record/2697107/files/Stéphane_1_image.jpg 1526495 140259 http://cds.cern.ch/record/2697107/files/Stéphane_image.jpg?subformat=icon icon 1526496 140259 http://cds.cern.ch/record/2697107/files/Stéphane_1_image.jpg?subformat=icon icon Staff.Bulletin@cern.ch elisabeth.fernandes@cern.ch BULLETINSTAFF 2696580 SzGeCERN 20191106223635.0 9783642662362 electronic version electronic version EBL 3090185 eng QH541.15.R466 1976 621.36/7 Billings, W D Remote sensing for environmental sciences Berlin Springer 1976 380 p Ecological Studies -- Editor's page -- Copyright -- Preface -- Contents -- Contributors -- 1. Introductory Remarks on Remote Sensing -- 2. Aerospace Photography -- 3. Infrared Sensing Methods -- 4. Laser Applications in Remote Sensing -- 5. Radar Methods -- 6. Passive Microwave Sensing -- 7. Applications of Gamma Radiation in Remote Sensing -- 8. Sonar Methods -- 9. Digital Picture Processing -- Subject Index -- Color Plates. Golley, F Lange, O L Grasty, R L Hartl, P Loor, GPDe Russel, P B Salerno, A E Schanda, Erwin Schaper, P W 9783642662386 print version oai:cds.cern.ch:2696580 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3090185 ebook ebook XX SzGeCERN EBL201910 BOOK n 201943 21 PUBLIC BOOK DELETED 2695858 SzGeCERN 20191106223631.0 9783540277941 electronic version electronic version EBL 3087241 eng Q335.T736 2004 6.3 Kanade, Takeo Transactions on rough sets I Berlin Springer 1993 413 p Lecture Notes in Computer Science 3100 -- Transactions on Rough Sets I -- Copyright -- Preface -- LNCS Transactions on Rough Sets -- Table of Contents -- Some Issues on Rough Sets -- Learning Rules from Very Large Databases Using Rough Multisets -- Data with Missing Attribute Values: Generalization of Indiscernibility Relation and Rule Induction -- Generalizations of Rough Sets and Rule Extraction -- Towards Scalable Algorithms for Discovering Rough Set Reducts -- Variable Precision Fuzzy Rough Sets -- Greedy Algorithm of Decision Tree Construction for Real Data Tables -- Consistency Measures for Conflict Profiles -- Layered Learning for Concept Synthesis -- Basic Algorithms and Tools for Rough Non-deterministic Information Analysis -- A Partition Model of Granular Computing -- Musical Phrase Representation and Recognition by Means of Neural Networks and Rough Sets -- Processing of Musical Metadata Employing Pawlak's Flow Graphs -- Data Decomposition and Decision Rule Joining for Classification of Data with Missing Values -- Rough Sets and Relational Learning -- Approximation Space for Software Models -- Application of Rough Sets to Environmental Engineering Models -- Rough Set Theory and Decision Rules in Data Analysis of Breast Cancer Patients -- Independent Component Analysis, Principal Component Analysis and Rough Sets in Face Recognition -- Author Index. Kittler, Josef Kleinberg, Jon M Kostek, Bozena Swiniarski, Roman W Szczuka, Marcin S 9783540223740 print version oai:cds.cern.ch:2695858 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3087241 ebook ebook XX SzGeCERN EBL201910 BOOK n 201943 21 PUBLIC BOOK DELETED 2695827 SzGeCERN 20191105222747.0 9781475797541 electronic version electronic version EBL 3086935 eng TK7882.I6.C58 1992 621.39/9 Widdel, Heino Color in electronic displays Boston, MA Springer 1992 335 p DEFENSE RESEARCH SERIES Volume 3 COLOR IN ELECTRONIC DISPLAYS -- Editor's page -- Copyright -- PREFACE -- CONTENTS -- 1. COLOR VISION, PERCEPTION, AND MEASUREMENT -- CHAPTER 1.1 COLOR BASICS FOR THE DISPLAY DESIGNER -- CHAPTER 1.2 COLORIMETRY OF SELF-LUMINOUS DISPLAYS -- 2. RESEARCH ON COLOR VISION -- CHAPTER 2.1 RESEARCH METHODS -- CHAPTER 2.2 APPLIED COLOR-VISION RESEARCH -- CHAPTER 2.3 ENVIRONMENTAL EFFECTS ON COLOR VISION -- 3. APPLICATION OF COLOR -- CHAPTER 3.1 ISSUES IN COLOR APPLICATION -- CHAPTER 3.2 COLOR CONVENTIONS AND APPLICATION STANDARDS -- 4. COLOR DISPLAY TECHNOLOGY -- CHAPTER 4.1 CRT TECHNOLOOY -- CHAPTER 4.2 FLAT-PANEL DISPLAYS -- CHAPTER 4.3 COLOR PROJECTION DISPLAYS -- CHAPTER 4.4 COLORIMETRIC MEASUREMENT, CALIBRATION, AND CHARACTERIZATION OF SELF-LUMINOUS DISPLAYS -- CONTRIBUTORS -- AUTHOR INDEX -- SUBJECT INDEX. Post, David L 9781475797565 print version oai:cds.cern.ch:2695827 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3086935 ebook ebook XX SzGeCERN EBL201910 BOOK n 201943 21 PUBLIC BOOK DELETED 2695751 SzGeCERN 20191105222743.0 9781489917331 electronic version electronic version EBL 3086209 eng QD71-142QD450-882TA 541.3/7 Conway, B E Modern aspects of electrochemistry Boston, MA Springer 1994 351 p modern aspects of electrochemistry no.26 -- LIST OF CONTRIBUTORS -- Editor's page -- Copyright -- Preface -- Contents -- MODERN ASPECTS OF ELECTROCHEMISTRY No. 26 -- 1 Phase Transitions in the Double Layer at Electrodes -- 2 Electrochemistry and Electrochemical Catalysis in Microemulsions -- 3 Advanced Electrochemical Hydrogen Technologies -- 4 Electrogalvanizing -- 5 Electroanalytical Methods for Determination of Al2O3 in Molten Cryolite -- 6 Environmental Cracking Of Metals -- Cumulative Author Index for Numbers 1-26 -- Cumulative Title Index for Numbers 1-26 -- Index. Bockris, J O'M White, Ralph E 9781489917355 print version oai:cds.cern.ch:2695751 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3086209 ebook ebook Chemical Phyics and Chemistry SzGeCERN EBL201910 BOOK n 201943 21 PUBLIC BOOK DELETED 2695532 SzGeCERN 20191105222735.0 9781468499193 electronic version electronic version EBL 3084201 eng TK7881.4.E274 1996 621.389/3 Eargle, John M Handbook of recording engineering Boston, MA Springer 1996 524 p Handbook of Recording Engineering -- Copyright -- Contents -- Author's Preface -- 1 Principles of Physical Acoustics -- 2 Psychological Acoustics -- 3 Characteristics of Performance and Recording Spaces -- 4 Basic Operating Principles of Microphones -- 5 Directional Patterns and Their Derivation -- 6 Environmental Effects and Departures from Ideal Microphone Performance -- 7 Stereo and Soundfield Microphones -- 8 Microphone Electrical Specifications and Accessories -- 9 Choosing the Right Microphone -- 10 Fundamentals of Stereo Recording -- 11 Transaural Recording Techniques -- 12 Recording Consoles -- 13 Metering and Operating Levels -- 14 Monitor Loudspeakers -- 15 Control Rooms and the Monitoring Environment -- 16 Analog Magnetic Recording -- 17 Encode-Decode Noise Reduction (NR) Systems -- 18 Digital Recording -- 19 Time Code and Synchronizing Techniques -- 20 Low Bit Rate Digital Coding of Audio -- 21 Equalizers and Filters -- 22 Compressors, Limiters, and Noise Gates -- 23 Reverberation and Signal Delay -- 24 Special Techniques in Signal Processing -- 25 Classical Recording and Production Techniques -- 26 Suggestions for Remote Classical Recording -- 27 Studio Production Techniques for Pop/Rock Recording -- 28 The Mixdown Session -- 29 Recording the Spoken Voice -- 30 Principles of Editing -- 31 Music Preparation for Commercial Release -- 32 An Overview of Digital Audio Workstations -- 33 Multichannel Sound for Film, Video, and Home Music Applications -- 34 The Compact Disc (CD) -- 35 Recorded Tape Products for the Consumer -- 36 The Stereo Long-Playing (LP) Record -- 37 Recording Studio Design Fundamentals -- 38 Studio Operation and Maintenance -- Index. 9781468499216 print version oai:cds.cern.ch:2695532 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3084201 ebook ebook XX SzGeCERN EBL201910 BOOK n 201943 21 PUBLIC BOOK DELETED 2695530 SzGeCERN 20191105222735.0 9781475711295 electronic version electronic version EBL 3084173 eng TK7881.4.E274 1992 621.38930000000005 Eargle, John Handbook of recording engineering Boston, MA Springer 1992 492 p HANDBOOK OF RECORDING ENGINEERING Second Edition -- Copyright -- PREFACE -- CONTENTS -- 1 PRINCIPLES OF PHYSICAL ACOUSTICS -- 2 PYSCHOLOGICAL ACOUSTICS -- 3 CHARACTERISTICS OF PERFORMANCE SPACES -- 4 BASIC OPERATING PRINCIPLES OF MICROPHONES -- 5 DERIVATION OF MICROPHONE DIRECTIONAL PATTERNS -- 6 ENVIRONMENTAL EFFECTS AND DEPARTURES FROM IDEAL MICROPHONE PERFORMANCE -- 7 STEREO AND SOUNDFIELD MICROPHONES -- 8 MICROPHONE ELECTRICAL SPECIFICATIONS AND ACCESSORIES -- 9 TWO-CHANNEL STEREO -- 10 MULTICHANNEL STEREO -- 11 RECORDING CONSOLES -- 12 SIGNAL METERING AND OPERATING LEVELS -- 13 MONITOR LOUDSPEAKERS -- 14 CONTROL ROOMS AND THE MONITORING ENVIRONMENT -- 15 EQUALIZERS AND FILTERS -- 16 COMPRESSORS, LIMITERS, AND NOISE GATES -- 17 REVERBERATION AND SIGNAL DELAY -- 18 SPECIAL TECHNIQUES IN SIGNAL PROCESSING -- 19 ANALOG TAPE RECORDING -- 20 ENCODE-DECODE NOISE REDUCTION (NR) SYSTEMS -- 21 DIGITAL RECORDING AND SIGNAL PROCESSING -- 22 CLASSICAL RECORDING AND PRODUCTION -- 23 POPULAR RECORDING AND PRODUCTION -- 24 RECORDING THE SPOKEN VOICE -- 25 PRINCIPLES OF MUSIC AND SPEECH EDITING -- 26 MUSIC PREPARATION FOR COMMERCIAL RELEASE -- 27 OVERVIEW OF SOUND FOR FILM AND VIDEO -- 28 THE STEREO LONG-PLAYING (LP) RECORD -- 29 RECORDED TAPE PRODUCTS FOR THE CONSUMER -- 30 THE COMPACT DISC (CD) -- 31 DIGITAL AUDIO TAPE (DAT) -- 32 RECORDING STUDIO DESIGN FUNDAMENTALS -- 33 STUDIO OPERATION AND MAINTENANCE -- INDEX. 9781475711318 print version oai:cds.cern.ch:2695530 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3084173 ebook ebook XX SzGeCERN EBL201910 BOOK n 201943 21 PUBLIC BOOK DELETED 2695450 SzGeCERN 20191105222733.0 9781461576648 electronic version electronic version EBL 3082640 eng TK1-9971 621.36/2 Miller, John Lester Principles of infrared technology a practical guide to the state of the art Boston, MA Springer 1994 584 p Principles of Infrared Technology -- Copyright -- Contents -- Preface -- Dedication -- Acknowledgment -- I Management -- 1 The Challenge for Infrared Technology -- 2 Management of Electro-Optics -- II Component Technologies -- 3 Infrared Telescopes -- 4 Focal Plane Arrays -- 5 Cryocooling Systems -- 6 Image and Signal Processors -- 7 Pointing, Scanning, and Stabilization Mechanisms -- III Systems -- 8 General-Purpose/Ground-Based IR Cameras -- 9 Smart Weapon Seekers -- 10 FLTRs and IRSTs -- 11 Space-Based Sensors -- 12 Weather and Environmental Monitoring Sensors -- Appendix A Nomenclature -- Appendix B Glossary -- Appendix C Bibliography -- Index. 9781461576662 print version oai:cds.cern.ch:2695450 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3082640 ebook ebook XX SzGeCERN EBL201910 BOOK n 201943 21 PUBLIC BOOK DELETED 2695395 SzGeCERN 20191105222731.0 9781461562917 electronic version electronic version EBL 3081764 eng TK5102.5.A343 1997 621.382/1 Ahamed, Syed V Design and engineering of intelligent communication systems Boston, MA Springer 1997 696 p DESIGN AND ENGINEERING OF INTELLIGENT COMMUNICATION SYSTEMS -- Copyright -- DESIGN AND ENGINEERING OF INTELLIGENT COMMUNICATION SYSTEMS TABLE OF CONTENTS -- LIST OF FIGURES -- PREFACE -- PART 1 OVERVIEW OF THE COMMUNICATION FACILITIES -- CHAPTER 1 BASIC COMMUNICATION NETWORKS -- CHAPTER 2 FM TECHNIQUES IN EXISTING NETWORKS -- CHAPTER 3 VIDEO AND TV ENVIRONMENT -- CHAPTER 4 CURRENT DIGITAL NETWORKS -- PART II THE METALLIC MEDIA: THE PHYSICAL ENVIRONMENT -- Chapter 5 SUBSCRIBER LOOPS -- CHAPTER 6 OPERATIONAL ENVIRONMENT FOR THE HDSL -- PART III THE METALLIC MEDIA: THE COMPUTATIONAL ENVIRONMENTAL -- CHAPTER 7 SIMULATION AND CAD ASPECTS -- CHAPTER 8 DATA BASES AND THEIR MANAGEMENT FOR DSL DESIGN STUDIES -- CHAPTER 9 SIMULATION TECHNIQUES FOR THE QAM (2D) CODE -- Chapter 10 COMPUTER BASED OPTIMIZATION TECHNIQUES FOR HDSL DESIGN -- PART IV SYSTEM PERFORMANCE FROM VERY LOW TO VERY HIGH RATES -- CHAPTER 11 DATA UP TO PRISON RATES -- CHAPTER 12 DATA AT PRISDN RATE -- CHAPTER 13 PERFORMANCE OF TRELLIS CODING -- CHAPTER 14 DIGITAL SUBSCRIBER LINE (HDSL AND ADSL) CAPACITY -- PART V RECENT HIGH-SPEED NETWORK ENVIRONMENTS -- CHAPTER 15 KNOWLEDGE HIGHWAYS -- CHAPTER 16 IMPACT OF FIBER OPTIC TECHNOLOGY -- CHAPTER 17 OPTICAL LIGHTWAVE SYSTEMS IN EXISTING NETWORKS -- CHAPTER 18 A PC BASED FIBER OPTIC CAD ENVIRONMENT -- GLOSSARY -- INDEX. Lawrence, Victor B 9781461378884 print version oai:cds.cern.ch:2695395 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3081764 ebook ebook XX SzGeCERN EBL201910 BOOK n 201943 21 PUBLIC BOOK DELETED 2695365 SzGeCERN 20191105222730.0 9781461520832 electronic version electronic version EBL 3081645 eng TK1-9971TJ1-1570TP2 621.48310000000004 Glasstone, Samuel Nuclear reactor engineering reactor systems engineering Boston, MA Springer 1994 394 p NUCLEAR REACTOR ENGINEERING -- Copyright -- Contents -- Preface -- CHAPTER 8 The Systems Concept, Design Decisions, and Information Tools -- CHAPTER 9 Energy Transport -- CHAPTER 10 Reactor Fuel Management and Energy Cost Considerations -- CHAPTER 11 Environmental Effects of Nuclear Power and Waste Management -- CHAPTER 12 Nuclear Reactor Safety and Regulation -- CHAPTER 13 Power Reactor Systems -- CHAPTER 14 Plant Operations -- CHAPTER 15 Advanced Plants and the Future -- APPENDIX The International System of Units (SI)* -- Index. Sesonske, Alexander 9781461358664 print version oai:cds.cern.ch:2695365 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3081645 ebook ebook XX SzGeCERN EBL201910 BOOK n 201943 21 PUBLIC BOOK DELETED 2695339 SzGeCERN 20191105222729.0 9781461535843 electronic version electronic version EBL 3081496 eng TK5102.5.Y686 1993 621.382/2 Allen, Jonathan Wavelet theory and its applications Boston, MA Springer 1993 232 p WAVELET THEORY AND ITS APPLICATIONS -- Copyright -- Contents -- Foreword -- Preface -- WAVELET THEORY AND ITS APPLICATIONS -- Chapter 1: Introduction/Background -- Chapter 2: The Wavelet Transform -- Chapter 3: Practical Resolution, Gain, and Processing Structures -- Chapter 4: Wavelet Theory Extensions and Ambiguity Functions -- Chapter 5: Linear Systems Modelling with Wavelet Theory -- Chapter 6: Wideband Scattering and Environmental Imaging -- Related Research -- References -- Subject Index. Young, Randy K 9781461365938 print version oai:cds.cern.ch:2695339 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3081496 ebook ebook XX SzGeCERN EBL201910 BOOK n 201943 21 PUBLIC BOOK DELETED 2694792 SzGeCERN 20191105222724.0 9781461516392 electronic version electronic version EBL 3080708 eng QA76.9.D343.M565 2001 6.3 Croft, W Bruce Mining the world wide web an information search approach Boston, MA Springer 2001 179 p MINING THE WORLD WIDE WEB -- Copyright -- Contents -- List of Figures -- List of Tables -- Preface -- Acknowledgments -- I INFORMATION RETRIEVAL ON THE WEB -- Chapter 1 KEYWORD-BASED SEARCH ENGINES -- Chapter 2 QUERY-BASED SEARCH SYSTEMS -- Chapter 3 MEDIATORS AND WRAPPERS -- Chapter 4 MULTIMEDIA SEARCH ENGINES -- II DATA MINING ON THE WEB -- Chapter 5 DATA MINING -- Chapter 6 TEXT MINING -- Chapter 7 WEB MINING -- Chapter 8 WEB CRAWLING AGENTS -- III A CASE STUDY IN ENVIRONMENTAL ENGINEERING -- Chapter 9 ENVIRODAEMON -- References -- Index -- About the Authors. Chang, George Healey, Marcus J Wang, TL 9781461356547 print version oai:cds.cern.ch:2694792 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3080708 ebook ebook XX SzGeCERN EBL201910 BOOK n 201942 21 PUBLIC BOOK DELETED 2694735 SzGeCERN 20191105222721.0 9781461552819 electronic version electronic version EBL 3080382 eng TJ145.M338 1998 621 Madu, Christian N Handbook of total quality management Boston, MA Springer 1998 829 p Handbook of Total Quality Management -- Copyright -- Contents -- Contributors -- Foreword -- Preface -- Biographical sketch -- Notable quality scholars -- Glossary -- CHAPTER 1 Introduction to quality -- CHAPTER 2 Comparing Deming's and Juran's philosophies to the formation of total quality leaders' world views -- CHAPTER 3 Strategic quality planning -- CHAPTER 4 Quality improvement through learning curve analysis -- CHAPTER 5 Human resources and training -- CHAPTER 6 Quality management in small and medium-sized companies and strategic management -- CHAPTER 8 Strategic total quality management -- CHAPTER 9 Accounting and capital budgeting for quality -- CHAPTER 10 Success in AMT implementation and quality enhancement: is there a link? -- CHAPTER 11 Service quality -- CHAPTER 12 Quality, productivity and information systems -- CHAPTER 13 Total quality management in the supply chain -- CHAPTER 14 Involving the supply chain in design -- CHAPTER 15 Self-assessment -- CHAPTER 16 Process performance, appraisal and employee development planning -- CHAPTER 17 Introduction to ISO and ISO quality standards -- CHAPTER 18 TQEM - methods for continuous environmental improvement -- CHAPTER 19 Benchmarking: a quest for continuous improvement -- CHAPTER 20 Concurrent engineering -- CHAPTER 21 Reengineering and continuous improvement -- CHAPTER 22 Quality function deployment -- CHAPTER 23 Introduction to probability and statistics -- CHAPTER 24 Tools for quality control and process redesign -- CHAPTER 25 Statistical quality control -- CHAPTER 26 Design of experiments: a polymer coating process -- CHAPTER 27 Quality engineering: loss functions, parameter design and robust quality -- CHAPTER 28 Reliability and maintainability -- CHAPTER 29 Total quality management in China -- CHAPTER 30 Total quality management in India: a tool with widening acceptance. CHAPTER 31 The development of national consciousness of quality: the Singapore experience -- CHAPTER 32 Total quality management in Europe -- CHAPTER 33 Total Quality Management - implementation on the basis of Poland -- CHAPTER 34 The development of total quality management in Denmark -- CHAPTER 35 Total quality in Australia and New Zealand -- CHAPTER 36 Quality management in developing economies -- CHAPTER 37 Malcolm Baldrige, Deming Prize and European Quality Awards: a review and synthesis -- Appendix -- Index. 9781461374091 print version oai:cds.cern.ch:2694735 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3080382 ebook ebook XX SzGeCERN EBL201910 BOOK n 201942 21 PUBLIC BOOK DELETED 2694705 SzGeCERN 20191105222720.0 9781461531227 electronic version electronic version EBL 3080177 eng TK7895.S65 .A247 1993 006.454 Allen, Jonathan Acoustical and environmental robustness in automatic speech recognition Boston, MA Springer 1993 196 p ACOUSTICAL AND ENVIRONMENTAL ROBUSTNESS IN AUTOMATIC SPEECH RECOGNITION -- Copyright -- Table of Contents -- List of Figures -- List of Tables -- Foreword -- Acknowledgments -- 1 Introduction -- 2 Experimental Procedure -- 3 Frequency Domain Processing -- 4 The SDCN Algorithm -- 5 The CDCN Algorithm -- 6 Other Algorithms -- 7 Frequency Normalization -- 8 Summary of Results -- 9 Conclusions -- Appendix I Glossary -- Appendix II Signal Processing in Sphinx -- Appendix III The Bilinear Transform -- Appendix IV Spectral Estimation Issues -- Appendix V MMSE Estimation in the CDCN Algorithm -- Appendix VI Maximum Likelihood via the EM Algorithm -- Appendix VII ML Estimation of Noise and Spectral Tilt -- Appendix VIII Vocabulary and Pronunciation Dictionary -- References -- Index. Acero, Alejandro 9781461363668 print version oai:cds.cern.ch:2694705 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3080177 ebook ebook EBL Automatic speech recognition XX SzGeCERN EBL201910 BOOK n 201942 21 PUBLIC BOOK DELETED 2694645 SzGeCERN 20191105222719.0 9781461503217 electronic version electronic version EBL 3079857 eng TK7871.85.D475 2003 621.38149999999996 Vinson, James E ESD design and analysis handbook Boston, MA Springer 2003 213 p ESD Design and Analysis Handbook -- Copyright -- Table of Contents -- Foreword -- Chapter 1 Physics and Models of an ESD Eevent -- Chapter 2 Failure Analysis Techniques -- Chapter 3 Environmental Protection -- Chapter 4 Chip Level Protection -- Chapter 5 Device Characterization -- Chapter 6 ESD Modeling -- Index. Bernier, Joseph C Croft, Gregg D Liou, Juin Jei 9781461350194 print version oai:cds.cern.ch:2694645 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3079857 ebook ebook XX SzGeCERN EBL201910 BOOK n 201942 21 PUBLIC BOOK DELETED 2694641 SzGeCERN 20191105222718.0 9781461507970 electronic version electronic version EBL 3079840 eng TA1634.M63 2001 003/.3 Ikeuchi, Katsushi Modeling from reality Boston, MA Springer 2002 216 p MODELING FROM REALITY -- Editor's page -- Copyright -- Contents -- List of Figures -- Preface -- Introduction -- I GEOMETRIC MODELING -- Chapter 1 PRINCIPAL COMPONENT ANALYSIS WITH MISSING DATA AND ITS APPLICATION TO POLYHEDRAL OBJECT MODELING -- Chapter 2 BUILDING 3-D MODELS FROM UNREGISTERED RANGE IMAGES -- Chapter 3 CONSENSUS SURFACES FOR MODELING 3D OBJECTS FROM MULTIPLE RANGE IMAGES -- II PHOTOMETRIC MODELING -- Chapter 4 OBJECT SHAPE AND REFLECTANCE MODELING FROM OBSERVATION -- Chapter 5 EIGEN-TEXTURE METHOD: APPEARANCE COMPRESSION BASED ON 3D MODEL -- III ENVIRONMENTAL MODELING -- Chapter 6 ACQUIRING A RADIANCE DISTRIBUTION TO SUPERIMPOSE VIRTUAL OBJECTS ONTO A REAL SCENE -- Chapter 7 ILLUMINATION DISTRIBUTION FROM SHADOWS -- IV EPILOGUE: MFR TO DIGITIZED GREAT BUDDHA -- Chapter 8 THE GREAT BUDDHA PROJECT: MODELING CULTURAL HERITAGE THROUGH OBSERVATION -- References -- Index. Sato, Yoichi 9780792375159 print version oai:cds.cern.ch:2694641 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3079840 ebook ebook XX SzGeCERN EBL201910 BOOK n 201942 21 PUBLIC BOOK DELETED 2694463 SzGeCERN 20191105222710.0 9781461335276 electronic version electronic version EBL 3078406 eng TK9202.C17 1982 621.48/3 Cameron, I R Nuclear fission reactors Boston, MA Springer 1982 388 p Nuclear Fission Reactors -- Copyright -- Preface -- Contents -- 1 Basic Physics of the Atom and the Nucleus -- 2 Nuclear Fission and the Nuclear Chain Reaction -- 3 Elements of Nuclear Reactor Theory -- 4 Nuclear Fuels and Their Characteristics -- 5 Materials Problems for Nuclear Reactors -- 6 Heat Generation and Removal in Nuclear Reactors -- 7 General Survey of Reactor Types -- 8 The Gas-Cooled Graphite-Moderated Reactor -- 9 The Light-Water-Moderated Reactor -- 10 The Heavy-Water-Moderated Reactor -- 11 The Fast Reactor -- 12 Safety and Environmental Aspects of Nuclear Reactors -- Appendix -- Bibliography -- Index. 9781461335290 print version oai:cds.cern.ch:2694463 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3078406 ebook ebook XX SzGeCERN EBL201910 BOOK n 201942 21 PUBLIC BOOK DELETED 2694259 SzGeCERN 20220815160118.0 DOI MDPI 10.3390/s19194264 oai:inspirehep.net:1759450 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1759450 2019-10-18T13:46:15Z 2019-10-19T04:00:10Z marcxml Inspire 1759450 eng Keller, Oliver orcid:0000-0002-6592-2984 CERN U. Geneva (main) Section de Physique and Institut Universitaire de Formation des Enseignants (IUFE), Université de Genève, 1211 Genève, Switzerland MDPI Smartphone and Tablet-Based Sensing of Environmental Radioactivity: Mobile Low-Cost Measurements for Monitoring, Citizen Science, and Educational Purposes 2019 16 MDPI Sensors for environmental radioactivity based on two novel setups using photodiodes, on the one hand, and an advanced tablet-based hybrid pixel detector, on the other hand, are presented. Measurements of four kinds of terrestrial and every-day radiation sources are carried out: Airborne radon, a mineral containing traces of uranium, edible potassium salt, and an old radium watch. These measurements permit comparisons between different types of ambient radioactive sources and enable environmental monitoring. Available data comprise discrimination between $\alpha -$ and $\beta^-$-particles in an energy range of 33 keV to 8 MeV and under ambient air conditions. The diode-based sensor is particularly useful in portable applications since it is small and sturdy with little power consumption. It can be directly connected to a smartphone via the headset socket. For its development, the low-cost silicon positive-intrinsic-negative (PIN) diodes BPX61 and BPW34 have been characterised with capacitance versus voltage (C-V) curves. Physical detection limits for ionising radiation are discussed based on obtained depletion layer width: (50$\pm$8)$\mu$m at 8V. The mobile and low-cost character of these sensors, as alternatives to Geiger counters or other advanced equipment, allows for a widespread use by individuals and citizen science groups for environmental and health protection purposes, or in educational settings. Source code and hardware design files are released under open source licenses with this publication. publication CC-BY-4.0 MDPI http://creativecommons.org/licenses/by/4.0/ publication © 2019 by the authors. Licensee MDPI, Basel, Switzerland. SzGeCERN Education and Outreach SzGeCERN Particle Physics - Experiment author natural radioactivity author radon author terrestrial radiation author silicon sensor author hybrid pixel detector author formal and informal learning author citizen science author learning tool author open educational resource author low-cost CERN ARTICLE Benoit, Mathieu orcid:0000-0002-8623-1699 Geneva U. Müller, Andreas U. Geneva (main) Schmeling, Sascha CERN 4264 19 Sensors 19 2019 1524528 1532786 http://cds.cern.ch/record/2694259/files/sensors-19-04264-v2.pdf 13 ARTICLE 2692673 SzGeCERN 20200902225551.0 9781461310075 electronic version electronic version 9781461282891 print version oai:cds.cern.ch:2692673 cerncds:BOOK EBL 3077478 eng T385TK7882.P3TA1637 511.8 Cantoni, V Image analysis and processing 2 Boston, MA Springer 1988 505 p https://cds.cern.ch/auth.py?r=EBLIB_P_3077478 ebook ebook IMAGE ANALYSIS AND PROCESSING II -- Editor's page -- Copyright -- PREFACE -- CONTENTS -- INVITED LECTURES -- MORPHOLOGICAL OPTICS -- IMAGE PROCESSING ARCHITECTURES -- ROBOTIC VISION -- UNDERSTANDING UNCONVENTIONAL IMAGES -- STATISTICAL PATTERN RECOGNITION: THE STATE OF THE ART -- PATTERN MATCHING IN STRINGS* -- IMAGE ANALYSIS PROBLEMS IN ASTRONOMY -- A PANEL ON: PATTERN RECOGNITION AND IMAGE PROCESSING WITH OR WITHOUT INTELLIGENCE? -- KNOWLEDGE BASED APPROACHES -- A KNOWLEDGE BASED APPROACH TO INDUSTRIAL SCENES ANALYSIS: SHADOWS AND REFLEXES DETECTION -- AN APPROACH TO RANDOM IMAGES ANALYSI S -- DESCRIPTION-BASED IMAGE INTERPRETATION AS A TOOL FOR HEURISTIC INFERENCE: A GEOLOGICAL APPLICATION -- THE FUR PROJECT: UNDERSTANDING FUNCTIONAL REASONING -- A KNOWLEDGE BASED APPROACH FOR IMAGE UNDERSTANDING -- A DYNAMIC PROGRAMMING APPROACH TO KNOWLEDGE BASED CONTOUR SEGMENTATION -- LEARNING FROM EXAMPLES IN COMPUTERVISION: PRELIMINARY STATEMENTS -- AUTOMATIC TRAINING IN STATISTICAL PATTERN RECOGNITION -- A NEW KNOWLEDGE DRIVEN, OMNIFONT, MULTILINE OCR PROCESS -- BASIC PATTERN RECOGNITION TOOLS -- OPTIMAL CONVEX SET INCLUDED IN A BINARY FIGURE -- A NEW CONCEPT FOR BINARY IMAGES : THE KERNEL -- GRAPH ENVIRONMENT FROM MEDIAL AXIS FOR SHAPE MANIPULATION -- WEIGHTED DISTANCE TRANSFORMS: A CHARACTERIZATION -- DISTANCE TRANSFORMATIONS IN HEXAGONAL GRIDS -- OPTIMIZATION OF THE GENERALIZED HOUGH TRANSFORM -- SYNAPTIC PATTERNS FOR STRAIGHT LINE SEGMENT DETECTION -- THE MEASUREMENT OF BINOCULAR DISPARITY -- POINT PATTERN MATCHING AND CORNER FINDING FOR LINE DRAWINGS -- PHOTOMETRIC APPROACH TO TRACKING OF MOVING OBJECTS -- A FAST ALGORITHM FOR MOMENT INVARIANTS GENERATION -- MODEL GENERATION FROM IMAGES -- A TRIANGLE BASED DATA STRUCTURE FOR MULTIRESOLUTION SURFACE REPRESENTATION -- ALGORITHMIC INFORMATION OF IMAGES (*). EFFECTS OF HETEROGENEITY OF VARIANCE ON THE PROBABILITY OF CORRECTLY IDENTIFYING THE BEST NORMAL POPULATION -- MULTIFEATURES AND SYSTEM BASED SOLUTIONS -- INTEGRATING DISPARITY MEASUREMENTS OVER SPACE AND SPATIAL-FREQUENCY -- IMPROVING BOUNDARY CONTOUR MATCHING USING VIEWING TRANSFORMS -- 3-D RANGE ESTIMATION FROM THE FOCUS SHARPNESS OF EDGES -- OBJECT RECOGNITION AND LOCATION BY A BOTTOM-UP APPROACH -- THE DYNAMIC PYRAMID A MDDEL FOR THE MOTION ANALYSIS WITH CONTROLLED CONTINUITY -- COMBINING LAPLACIAN-PYRAMID ZERO-CROSSINGS: FROM THEORY TO APPLICATIONS TO IMAGE SEGMENTATION -- A PARALLEL PYRAMIDAL ALGORITHM TO DETERMINE CURVE ORIENTATION -- PARALLEL IMAGE PROCESSING IN A CSP-ENVIRONMENT: PERFORMANCE EVALUATION* -- IMAGE RESTORATION BY FAST LOCAL CONVOLUTION -- A COST-EFFECTIVE ARCHITECTURE FOR VISION -- HIERARCHIAL SPECIFICATION IMAGE DATA TYPES AND LEVEL LANGUAGE -- GEOMETRIC TRANSFORMATIONS OF RASTER IMAGES ON SIMD PROCESSORS -- A PICTORIAL AND TEXTUAL IR ENVIRONMENT BASED ON IMAGE DESCRIPTION -- IMAGE ANALYSIS - APPLICATIONS -- A LOY COST 3-D VISION SYSTEM FOR ROBOTIC ASSEMBLY -- DETERMINATION OF EGOMOTION AND ENVIRONMENTAL LAYOUT FROM NOISY TIME-VARING IMAGE VELOCITY IN MONOCULAR IMAGE SEQUENCES -- HEURISTIC DESCRIPTION OF SPATIAL AND TEMPORAL BEHAVIOUR OF RAIN PATTERNS USING SIMPLE PHYSICAL MODEL -- A FRAMEWORK FOR REGION CHARACTERIZATION IN REMOTE SENSING IMAGES BY FRACTAL-BASED APPROACH -- ISSUES IN THE INTEGRATION OF SPATIALLY-DISTRIBUTED DATA ANCILLARY TO REMOTELY SENSED IMAGES -- RECONSTRUCTION AND REPRESENTATION OF 3-D SURFACES FROM GEOPHYSICAL DATA -- HIPPARCOS PROJECT: IMAGING APPROACH TO MULTIPLE STAR RECOGNITION -- SEGMENTING POSITRON EMISSION TOMOGRAPHY (PET) IMAGERY -- DESIGN AND TESTING OF A CLASSIFICATION SYSTEM WHICH RECOGNIZES CORONARY STENOSIS BY SITE AND RELATIVE SEVERITY, USING MYOCARDIAL Tl-201 SCINTIGRAMS. AUTOMATIC INTERPRETATION OF DIGITAL AUTORADIOGRAPH OF DNA SEQUENCING GELS -- SUPPORTING DIAGNOSIS AND SURGICAL PLANNING BY ANALYSIS AND 3D DISPLAY OF VOLUME IMAGES -- INDEX. EBL201910 SzGeCERN Mathematical Physics and Mathematics BOOK Di Ges,̮ V Levialdi, S n 201941 21 PUBLIC BOOK DELETED 2692587 SzGeCERN 20210421201859.0 9783642032202 electronic version electronic version 9783642032196 print version oai:cds.cern.ch:2692587 cerncds:BOOK EBL 3065756 eng QA9.64 -- .F89 2010eb 511.313 Kacprzyk, Janusz Fuzzy cognitive maps advances in theory, methodologies, tools and applications Berlin Springer 2010 435 p ebook Studies in fuzziness and soft computing Title -- Foreword -- Introduction -- Contents -- Fuzzy Cognitive Maps: Basic Theories and Their Application to Complex Systems -- Introduction -- Basic Theories -- Fuzzy Cognitive Map Representation -- Methods for Constructing Fuzzy Cognitive Maps -- Neural Network Nature of Fuzzy Cognitive Maps -- Modeling Supervisors of Complex Systems with a FCM -- Decision Analysis and Fuzzy Cognitive Maps -- Implementation of the DT-FCM Model for Bladder Tumor Grading -- Summary and Closing Remarks -- References -- Expert-Based and Computational Methods for Developing Fuzzy Cognitive Maps -- Introduction -- Expert-Based Methods -- Overview -- Development of FCMs by a Single Expert -- FCM Development by a Group of Experts -- Example -- Summary -- Computational Methods -- Overview -- Hebbian-Based Methods -- Evolutionary Algorithms-Based Methods -- Example -- Summary -- Conclusions and Future Directions -- Conclusions -- Future Directions -- References -- A Novel Approach on Constructed Dynamic Fuzzy Cognitive Maps Using Fuzzified Decision Trees and Knowledge-Extraction Techniques -- Introduction -- Background of Proposed Approach -- Main Aspects of Fuzzy Cognitive Maps -- Fuzzy Rules and Linguistic Weight Generation by Using Knowledge Extraction Methods -- New Approach on Constructing Dynamic Fuzzy Cognitive Maps Using Knowledge Extraction Techniques -- Application of the Proposed Framework into FCM-DSS in Radiotherapy -- Results on Implementing the Proposed Approach in Radiotherapy Process -- Discussion and Conclusions -- References -- The FCM Designer Tool -- Introduction -- The FCM Designer Tool -- The Data Structure -- Tool Interface -- Main Windows of the Tool -- Source Code -- Example of Utilization -- Casual Relationships Like Dynamic Equations -- Casual Relationships Like Rules -- Conclusions -- References. Fuzzy Cognitive Networks: Adaptive Network Estimation and Control Paradigms -- Introduction -- Fuzzy Cognitive Maps -- Existence and Uniqueness of Solutions in Fuzzy Cognitive Maps -- The Contraction Mapping Principle -- Interpreting the Results -- FCM with Input Nodes -- On Line Parameter Estimation of Fuzzy Cognitive Maps -- Gradient Projection Method -- Bilinear Adaptive Estimation -- Control Paradigms Using the FCN Framework -- Control of an Inverted Pendulum -- Using FCN to Control an Anaerobic Digestion Process -- Conclusions and Discussion -- References -- Modeling of Operative Risk Using Fuzzy Expert Systems -- Introduction -- Fuzzy Logic Systems -- Fuzzy Expert Systems (FES) -- Modeling Operational Risk Factors -- Fuzzyfication -- Knowledge Matrix -- FES Validation Process -- Platform for Measurement Exposure to Operating Losses -- Conclusions -- References -- Fuzzy Cognitive Maps in Banking Business Process Performance Measurement -- Introduction -- Literature Overview -- Financial Performance at the Banking Sector -- Accounting Performance and Valuation -- FCMs as a Modeling Technique -- Applications of Fuzzy Cognitive Maps -- Updated FCM Algorithm -- FCM-Based Decision Modeling -- FCM as a Supplement to Financial Planning -- Assigning Fuzzy Linguistic Variables to FCM Weights and Concepts -- Financial Modelling Process -- FCM Hierarchies -- FCMs Overview -- Map Linking and Decomposition -- Map Categories -- Preliminary Experiments -- The Nature of the Experiments -- Discussion -- Conclusion -- Bibliography -- Fuzzy Cognitive Maps-Based IT Projects Risks Scenarios -- Introduction -- IT Projects Risks -- Fuzzy Cognitive Maps -- Fuzzy Cognitive Map Fundamentals -- Experts' Consensus in FCM -- Experimental Analysis -- Expert Panel -- Building the Model -- FCM-Based Scenarios -- Scenario A -- Scenario B -- Scenario C -- Conclusions. Relevance of the Proposal -- Limitations -- Future Work -- References -- Software Reliability Modelling Using Fuzzy Cognitive Maps -- Introduction -- Fuzzy Cognitive Maps -- Applications of Fuzzy Cognitive Maps -- An FCM-Based Model for Software Reliability Prediction -- Preliminary Experiments -- Conclusions -- References -- Fuzzy Cognitive Networks for Maximum Power Point Tracking in Photovoltaic Arrays -- Introduction -- Simulation of the PV System -- MPPT Approach by Using Fuzzy Cognitive Networks and Fuzzy Logic Controller -- Fuzzy Logic Controller [19] -- The Cognitive Graph Designed for the PV Project -- The FCN Approach for the PV Project -- Results -- Adaptation Abilities of the Presented Method -- Conclusions -- References -- Fuzzy Cognitive Maps Applied to Computer Vision Tasks -- Introduction -- Fuzzy Cognitive Maps: Topology and Basic Concepts -- Application of FCMs to Image Classification -- Training Phase -- Decision Phase: Fuzzy Cognitive Maps -- Application to Image Change Detection -- Computation of the Causal Weights: Data and Contextual Consistencies -- Computing the Decay Factor -- Summary of the Full FCM Process -- Application to Image Matching in Stereovision -- Feature and Attribute Extraction -- Causal Concepts and Their Activation Levels -- Computation of the Causal Weights -- Comparative Analysis and Performance Evaluation -- Performance of FCMs in Texture Classification -- Performance of FCMs for Image Change Detection -- Performance of FCMs for Stereovision Matching -- Conclusions -- References -- Classifying Patterns Using Fuzzy Cognitive Maps -- Introduction -- FCM-Based Classifiers -- FCMper - Structure -- FCMper - Activation Function -- FCMper - Inference Law -- FCMper - Learning Algorithm -- Experimental Study -- Experimental Part 1 -- Experimental Part II -- Conclusions - Discussion -- References. Dynamic Fuzzy Cognitive Maps for the Supervision of Multiagent Systems -- Introduction -- Dynamical Fuzzy Cognitive Maps -- The Causal Relationships Defined as Fuzzy Rules -- General Algorithm of a DFCM -- Relationships Initial Weight Definition -- DFCM Like Supervisor of Multiagent Systems -- The IDCSA Reference Framework -- Fault Management System (FMS) -- Results Analysis -- Conclusions -- References -- Soft Computing Technique of Fuzzy Cognitive Maps to Connect Yield Defining Parameters with Yield in Cotton Crop Production in Central Greece as a Basis for a Decision Support System for Precision Agriculture Application -- Introduction -- Fuzzy Cognitive Maps -- Basic Aspects of Fuzzy Cognitive Maps -- Constructing Fuzzy Cognitive Maps -- Materials and Methods -- Fuzzy Cognitive Map Model for Describing Cotton Yield -- Results -- Discussion of Results -- Conclusions -- References -- Analysis of Farmers' Concepts of Environmental Management Measures: AnApplication of Cognitive Maps and Cluster Analysis in Pursuit of Modelling Agents' Behaviour -- Introduction -- ABMs in Land Use Modelling -- FCMs: Generic Features and Specific Applications in Agri-Environment Analysis -- Case Study: FCMs and Farmer Types with Respect to Agri-Environment Measures in Belgium -- Clustering Based on Map Structure -- Clustering Based on Map Content -- Anticipating Isolated Agent's Behaviour -- Conclusions -- General Comments -- Statistical Analysis -- Identification of FCM Models with Reality: Lessons from Other Types of Model -- Future Research -- References -- Using Fuzzy Cognitive Maps to Support the Analysis of Stakeholders' Views of Water Resource Use and Water Quality Policy -- Introduction -- Water: Political, Economic and Environmental Issues -- Social Scarcity and Water Use -- Fuzzy Cognitive Maps and Their Analysis -- Case Studies. Stakeholders and the Water Framework Directive in the Pinios River Basin -- Policy Background -- Fuzzy Cognitive Map Construction and Analysis -- Adding Evaluation of Economic Indicators -- Stakeholders' Perceptions of the Maritza/Meric/Evros Transboundary River -- Policy Background -- Data Collection and Map Construction -- Analysis and Interpretation -- Synthesis -- Hierarchy: Stimulation and Regulation -- Examining the Effect of Regulation on a System with Socially Scarce Goods -- References -- Fuzzy Cognitive Map to Support Conflict Analysis in Drought Management -- Introduction -- Problem Structuring Methods for Environmental Management -- The FCM to Support Drought Management -- Description of the Case Study -- Elicitation of Drought Perceptions -- Assessment of Drought Management Acceptability -- Discussion -- Conclusions and Future Developments -- References -- Author Index. EBL201910 SzGeCERN Mathematical Physics and Mathematics BOOK Glykas, Michael https://cds.cern.ch/auth.py?r=EBLIB_P_3065756 ebook n 201941 21 PUBLIC https://catalogue.library.cern/legacy/2692587 BOOK MIGRATED 2691680 SzGeCERN 20210421201916.0 9781119085584 1119085586 9781119028376 9781119085638 oai:cds.cern.ch:2691680 cerncds:BOOK SAFARI on1117308142 OCoLC 1117308142 2018004508 eng TA170 Tang, Walter Z Sustainable environmental engineering Hoboken, NJ John Wiley & Sons 2019 mult. p ebook Renewable resources and environmental quality -- Health risk assessment -- Twelve design principles of sustainable environmental engineering -- Integrated and interconnected systems -- Reliable systems on a spatial scale -- Resiliency on temporal scale -- Efficiency of renewable material -- Efficiency of renewable energy -- Prevention -- Recovery -- Separation -- Treatment -- Green retrofitting and remediation -- Optimization through modeling and simulation -- Life cycle cost and benefit analysis SAF201910 SzGeCERN Engineering SAF Sustainable engineering SAF Environmental engineering BOOK Sillanpää, Mika E T https://learning.oreilly.com/library/view/-/9781119028376/?ar ebook n 201940 21 PUBLIC https://catalogue.library.cern/legacy/2691680 BOOK MIGRATED 2691662 SzGeCERN 20210421201918.0 9780419244301 9781135920517 1135920516 9780203362488 0203362489 oai:cds.cern.ch:2691662 cerncds:BOOK SAFARI on1112253861 OCoLC 1112253861 eng NA2541 Baird, George The architectural expression of environmental control systems New York, NY Spon Press 2004 mult. p ebook SAF201910 SzGeCERN Engineering SAF Architecture and climate SAF Buildings SAF Architectural design BOOK https://learning.oreilly.com/library/view/-/9780419244301/?ar ebook n 201940 21 PUBLIC https://catalogue.library.cern/legacy/2691662 BOOK MIGRATED 2691457 20251201181020.0 oai:cds.cern.ch:2691457 cerncds:TALK eng CERN. Geneva IXPUG 2019 Annual Conference at CERN CERN - 80/1-001 - Globe of Science and Innovation - 1st Floor 2019-09-26T11:30:00 2019-09-26T11:45:00 813377c37 Simple Implementation of Quantum Bits in Silicon by Decoupling them in Space and Time 2019 2019-09-26 885 Streaming video other events or meetings IXPUG 2019 Annual Conference at CERN 2019-09-26T11:30:00 <!--HTML-->Research in quantum computing is very important to develop applications for medicine, business, trade, environmental and national security purposes. Today's physical quantum computers suffers from noise and the difficulty of correcting the quantum errors. The complexity of implementing Quantum bits is reduced by decoupling each Q bit and map it either in time or Space. Classical deterministic values of each bit is provided by the system in space and time such that all combination of Q-words becomes available from the system by probing multiple signals in parallel for bits mapped to space and after waiting for the time that allows the bits mapped to time to become available. The complexity of implementing 20 Q-bit in our system requires only 500 transistors to map 10 bits in time, and 10 bits in space. The time needed for all values of 20 Q-bit is 250 ns if using 4 GHz technology. For 50 Q-bit the mapping in time and space requires 1200 transistors. The time needed for producing all the values of 50 Q bits is 8 ms. We plan to implement Quantum Computing Qbits in FPGA then develop applications and algorithms suitable for this implementation technology. A number of simple processors will be used as in GPU architecture to probe the Q-bits implemented in FPGA, in parallel space and a host processor to manage applications and collect results. CERN 2019 other events or meetings Event TALK CERN Mekhiel, Nagi speaker Ryerson University https://indico.cern.ch/event/813377/contributions/3525225/ Talk details https://indico.cern.ch/event/813377/ Event details MediaArchive /mnt/master_share/master_data/2019/813377c37 Absolute master path MediaArchive /2019/813377c37/813377c37_en.vtt subtitle subtitle English MediaArchive /2019/813377c37/813377c37_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2019/813377c37/thumbs/20190926112838.png pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2019/813377c37/813377c37_desktop_slides_1080p_4000.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 4000 MediaArchive https://lecturemedia.cern.ch/2019/813377c37/813377c37_desktop_slides_360p_800.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 800 MediaArchive https://lecturemedia.cern.ch/2019/813377c37/813377c37_desktop_slides_480p_1000.mp4 video/mp4 Content: presentation. Resolution: 853x480. Baudrate: 1000 MediaArchive https://lecturemedia.cern.ch/2019/813377c37/813377c37_desktop_slides_720p_2000.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 2000 MediaArchive https://lecturemedia.cern.ch/2019/813377c37/813377c37_desktop_camera_1080p_4000.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 4000 MediaArchive https://lecturemedia.cern.ch/2019/813377c37/813377c37_desktop_camera_360p_800.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 800 MediaArchive https://lecturemedia.cern.ch/2019/813377c37/813377c37_desktop_camera_480p_1000.mp4 video/mp4 Content: presenter. Resolution: 853x480. Baudrate: 1000 MediaArchive https://lecturemedia.cern.ch/2019/813377c37/813377c37_desktop_camera_720p_2000.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 2000 kristina.ulrika.gunne@cern.ch 2019-04-10T10:23:15 2019-10-01T15:15:38 PUBLIC INDICO.813377c37 https://videos.cern.ch/legacy/record/2691457 Indico CR MIGRATED 2691327 SzGeCERN 20210421201931.0 9789811397769 electronic version electronic version print version 9789811397752 print version 9789811397776 DOI 10.1007/978-981-13-9776-9 ebook oai:cds.cern.ch:2691327 cerncds:BOOK eng QA276-280 519.5 23 Karim, Md Rezaul Reliability and survival analysis Singapore Springer 2019 ebook Chapter 1: Reliability and Survival Analysis: Concepts and Definitions -- Chapter 2: Mean Lifetime and Residual Lifetime -- Chapter 3: Probability Distributions of Lifetimes (Uncensored) -- Chapter 4: Censoring Mechanisms -- Chapter 5: Probability Distributions of Lifetimes under Censoring Schemes -- Chapter 6: Nonparametric Methods -- Chapter 7: Parametric Methods -- Chapter 8: Regression Models -- Chapter 9: Generalized Linear Models for Failure Times -- Chapter 10: Components and Systems -- Chapter 11: Reliability Functions and Ageing Properties -- Chapter 12: Models for Production System -- Chapter 13: Stochastic Models -- Chapter 14: Further Topics -- References -- Appendix - A: Statistical Tables -- Appendix - B: Data Sets -- Appendix - C: R-Packages and Programming Codes -- Index. This book presents and standardizes statistical models and methods that can be directly applied to both reliability and survival analysis. These two types of analysis are widely used in many fields, including engineering, management, medicine, actuarial science, the environmental sciences, and the life sciences. Though there are a number of books on reliability analysis and a handful on survival analysis, there are virtually no books on both topics and their overlapping concepts. Offering an essential textbook, this book will benefit students, researchers, and practitioners in reliability and survival analysis, reliability engineering, biostatistics, and the biomedical sciences. . Mathematics and statistics SPR201909 SzGeCERN Mathematical Physics and Mathematics SPR Social medicine SPR Medical Sociology BOOK Islam, M Ataharul SPR n 201940 201909 21 PUBLIC https://catalogue.library.cern/legacy/2691327 BOOK MIGRATED 2701584 SzGeCERN 20220810142114.0 DOI EDP Sciences 10.1051/epjconf/201921402042 oai:inspirehep.net:1760901 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1760901 2019-11-14T15:42:50Z 2019-11-15T05:02:43Z marcxml Inspire 1760901 eng Frank, Markus INSPIRE-00260763 markus.frank@cern.ch CERN EDP Sciences Conditions and alignment extensions of the DD4hep detector description toolkit 2019 7 p EDP Sciences The detector description is an essential component to analyze data resulting from particle collisions in high energy physics experiments. The interpretation of data from particle collisions typically requires auxiliary data which describe in detail the state of the experiment. These accompanying data include alignment parameters, parameters describing the electronics as well as calibration- and environmental constants. We present a mechanism to manage such data in multiple simultaneous versions depending on their validity. The detector conditions data are made available to the physics algorithms through a number of transient objects grouped to collections. Such a collection represents a coherent slice of all conditions data necessary to process one or several events depending on the valid interval of the slice being the intersection of the individual conditions. A multi-threaded application may hold several such collections in parallel depending on the time-stamps of the events currently processed. Once prepared, these collections are read-only and can easily be shared between threads with minimal requirements for locking and hence minimal overhead. We deliberately restrained ourselves from providing a persistent data solution, which in the past were fields of expertise of the experiments, but rather provided the necessary hooks to populate the conditions cache. We will present the use-cases that have driven the development, the main design choices and details of the implementation. publication CC-BY-4.0 EDP Sciences https://creativecommons.org/licenses/by/4.0/ publication The Authors 2019 SzGeCERN Detectors and Experimental Techniques SzGeCERN Computing and Computers CERN Gaede, Frank frank.gaede@desy.de DESY Petric, Marko ORCID:0000-0002-1331-2578 marko.petric@cern.ch CERN Sailer, Andre andre.sailer@cern.ch CERN 02042 EPJ Web Conf. 214 C18-07-09.6 2019 1530343 501686 http://cds.cern.ch/record/2701584/files/10.1051_epjconf_201921402042.pdf Fulltext from publisher 13 2621974 02042 sofia20180709 ARTICLE ConferencePaper refextract CURATOR doi:10.1088/1748-0221/3/08/S08001 (L. Evans, P. Bryant (eds.)) LHC Machine 1 JINST,3,S08001 L. Evans, P. Bryant (editors), LHC Machine, 2008 JINST 3 S08001 , DOI: 10.1088/1748-0221/3/08/S08001 2008 refextract CURATOR M. Frank et al. International Conference on Computing in High Energy and Nuclear Physics (CHEP 2013), Amsterdam, NL 2 DD4hep: A Detector Description Toolkit for high energy physics Experiments M. Frank et al., DD4hep: A Detector Description Toolkit for high energy physics Experiments, International Conference on Computing in High Energy and Nuclear Physics (CHEP 2013) , Amsterdam, NL, 2013 . 2013 refextract CURATOR LHCb Collaboration, LHCb, the Large Hadron Collider beauty experiment, reoptimised detector design and performance 3 CERN-LHCC-2003-030 LHCb Collaboration, LHCb, the Large Hadron Collider beauty experiment, reoptimised detector design and performance , CERN/LHCC 2003–030 refextract CURATOR S. Ponce et al. International Conference on Computing in High Energy and Nuclear Physics (CHEP 2003), La Jolla, CA,, proceedings 4 Detector Description Framework in LHCb S. Ponce et al., Detector Description Framework in LHCb, International Conference on Computing in High Energy and Nuclear Physics (CHEP 2003) , La Jolla, CA, 2003, proceedings. 2003 refextract CURATOR The ILD Concept Group 9783935702423 5 The International Large Detector: Letter of Intent The ILD Concept Group, The International Large Detector: Letter of Intent , ISBN 978-3-935702-42-3, 2009 . 2009 refextract CURATOR H. Aihara, P. Burrows, M. Oreglia (Ed.) 6 arXiv:0911.0006 SiD Letter of Intent H. Aihara, P. Burrows, M. Oreglia(Editors), SiD Letter of Intent, arXiv:0911.0006, 2009 . 2009 refextract CURATOR R. Brun, A. Gheata, M. Gheata The ROOT geometry package 7 Nucl.Instrum.Meth.,A502,676-680 R. Brun, A. Gheata, M. Gheata, The ROOT geometry package, Nuclear Instruments and Methods A 502 (2003) 676–680. 2003 refextract CURATOR R. Brun et al. ROOT - An object oriented data analysis framework 8 Nucl.Instrum.Meth.,A389,81-86 R. Brun et al., ROOT - An object oriented data analysis framework, Nuclear Instruments and Methods A 389 (1997) 81–86. 1997 refextract CURATOR doi:10.1016/S0168-9002(03)01368-8 S. Agostinelli et al. 9 Nucl.Instrum.Meth.,A506,250-303 Geant4 - A Simulation Toolkit S. Agostinelli et al., “Geant4 - A Simulation Toolkit”, Nuclear Instruments and Methods A 506 (2003) 250–303. , DOI: 10.1016/S0168-9002(03)01368-8 2003 refextract CURATOR M. Frank et al. DDG4, A Simulation Framework based on the DD4hep Detector Description Toolkit International Conference on Computing in High Energy and Nuclear Physics (CHEP 2015), Okinawa, Japan,, proceedings 10 M. Frank et al., DDG4, A Simulation Framework based on the DD4hep Detector Description Toolkit. International Conference on Computing in High Energy and Nuclear Physics (CHEP 2015) , Okinawa, Japan, 2015, proceedings. 2015 refextract CURATOR doi:10.1088/1742-6596/898/9/092041 M. Borisyak et al. Towards automation of data quality system for CERN CMS experiment, International Conference on Computing in High Energy and Nuclear Physics (CHEP) San Francisco, USA, 2017 J. Phys.: Conf. Ser. 898 092041 11 M. Borisyak et al., Towards automation of data quality system for CERN CMS experiment, International Conference on Computing in High Energy and Nuclear Physics (CHEP 2016) San Francisco, USA, 2017 J. Phys.: Conf. Ser. 898 092041 , DOI: 10.1088/1742-6596/898/9/092041 2016 refextract CURATOR B. Couturier et al. poster No. 2937633, International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018), Sofia, Bulgaria, proceedings 12 Perspectives for the migration of the LHCb geometry to the DD4hep toolkit B. Couturier et al., Perspectives for the migration of the LHCb geometry to the DD4hep toolkit, poster No. 2937633, International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018) , Sofia, Bulgaria, proceedings. 2018 2701395 SzGeCERN 20200110103506.0 DOI IEEE 10.1109/RAMS.2019.8769268 oai:inspirehep.net:1750424 cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1750424 2019-11-12T15:58:42Z 2019-11-13T06:07:27Z marcxml Inspire 1750424 eng Schramm, V volker.schramm@cern.ch CERN IEEE Combined Testing And Validation Strategy For The New LHC Blm Processing Module 2019 7 p IEEE A comprehensive strategy to test a new digital acquisition board has been implemented by the Beam Instrumentation Group of the European Organization for Nuclear Research (CERN) as part of a wider methodology for the design, production, test, and operation of high dependability electronic systems. This includes test benches for component and functional testing during production, as well as for validation and burn-in upon reception. The validation tests are performed over a variety of temperature and humidity ranges to define the environmental tolerances of the board. The results of such validation tests provide the necessary parameters to tailor a customized strategy for burn-in. publication IEEE 2019 SzGeCERN Accelerators and Storage Rings SzGeCERN Detectors and Experimental Techniques author Transceivers author Humidity author Optical fiber communication author Temperature measurement author Optical fibers author Testing author Production author nuclear electronics author combined testing author Lhc Blm processing module author comprehensive strategy author digital acquisition board author Beam Instrumentation Group author wider methodology author high dependability electronic systems author test benches author functional testing author validation tests author customized strategy author European Organization for Nuclear Research author validation strategy author component testing author design author production author temperature range author humidity range author environmental tolerances author burn-in author Electronics author PCB author Reliability author Validation CERN Saccani, M mathieu.saccani@cern.ch CERN Viganò, W william.vigano@cern.ch CERN Bertsche, B bernd.bertsche@ima.uni-stuttgart.de Stuttgart U. 1-7 C19-01-28.2 2019 13 2701359 1-7 orlando20190128 ARTICLE ConferencePaper 0-0-0-1-0-0-1 2019-11-12 16:25:05 Invenio/1.1.2.1260-aa76f refextract/1.5.44 B. Dehning et al. LHC Project Workshop - Chamonix XIII, Chamonix, FR 1 The Beam Loss Monitoring System 2004 E. Effinger et al. 12th Workshop on Electronics For LHC and Future Experiments, Valencia, SP 2 The LHC Beam Loss Monitoring System's Data Acquisition Card 2006 C. Zamantzas et al. 12th Workshop on Electronics For LHC and Future Experiments, Valencia, SP 3 The LHC Beam Loss Monitoring System's Surface Building Installation 2006 V. Schramm Accelerator Reliability Workshop,, Versailles, FR 4 Dependability Study of the Large Hadron Collider Beam Loss Monitor Optical Link and Comparison to the Next Generation Link under Development 2017 US Department of Defense Washington DC: 5 Military Handbook 338B -Electronic Reliability Design Handbook 1998 France: FIDES Group 6 FIDES guide 2009 Edition A - Reliability Methodology for Electronic Systems 2009 Bannockburn, IL: IPC 7 IPC-A-610E 2010 W. H. Horner United States Army, Fort Belvoir, Virginia 8 Environmental Stress Screening (ESS) Guide 1989 A. Birolini Berlin: 9 Springer Reliability Engineering - Theory and Practice 2017 Utica, NY: Quanterion Solutions Incorporated 10 Handbook of 217Plus - Reliability Prediction Models 2015 CURATOR Altera PowerPlay Early Power Estimator 11 https://www.altera.com/support/supportresources/operation-and-testing/power CURATOR B. Bertsche Berlin, Heidelberg 12 Springer Reliability in Automotive and Mechanical Engineering 2009 2700269 SzGeCERN 20210422083141.0 9789811502026 electronic version electronic version print version 9789811502019 print version 9789811502033 print version 9789811502040 DOI 10.1007/978-981-15-0202-6 e-proceedings oai:cds.cern.ch:2700269 cerncds:CONF eng QC450-467 QC718.5.S6 621.36 23 20181004 ​National Conference on Advances in Spectroscopy : Molecules to Materials Ahmedabad, India 4 - 6 Oct 2018 2018 ahmedabad20181004 IN NCASMM 2018 20181006 Singapore Springer 2019 ebook Springer proceedings in physics 0930-8989 236 Excited State Dynamic of Fluorogenic Molecules -- Sum Frequency Generation Vibrational Spectroscopy: A Nonlinear Optical Tool to Probe the Polymer Interfaces -- Towards Fluorogenic and Chromogenic Sensing of Heavy Metal Ions in Aqueous Medium: A Mini-Review -- Quantum Cascade Laser Spectroscopy for Atmospheric Sensing and Biomedical Diagnostics -- Optical Signal Enhancement in LIBS Using Aluminum Nanoparticles on Brass Sample -- Spectroscopic Characterization of Metal-Polymer Interface for Electronic Applications -- Graphene, Its Analogues and Modern Science -- Study of Limonene Loaded Zein Nanoparticles for Sustainable Agriculture -- Effect of Magnetic Ordering on Phonon Raman Spectra in Magnetic Systems -- Strain Induced Changes in Vibrational Properties of Arsenene and Antimonene Monolayer -- Trapping Melamine with Pristine and Functionalized Graphene Quantum Dots: DFT and SERS Studies. This book presents and discusses recent developments in the broad field of spectroscopy, providing the reader with an updated overview. The main objective is to introduce them to recent innovations and current trends in spectroscopy applied to molecules and materials. The book also brings together experimentalists and theoreticians to highlight the multidimensional aspects of spectroscopy and discuss the latest issues. Accordingly, it provides insights not only into the general goals of spectroscopy, but also into how the various spectroscopic techniques represent a toolbox that can be used to gain a more detailed understanding of molecular systems and complex chemical problems. Besides technical aspects, basic theoretical interpretations of spectroscopic results are also presented. The spectroscopy techniques discussed include UV-visible absorption spectroscopy, Raman spectroscopy, IR absorption spectroscopy, fluorescence spectroscopy, and time-resolved spectroscopy. In turn, basic tools like lasers and theoretical modeling approaches are also presented. Lastly, applications for the characterization of fundamental properties of molecules (environmental aspects, biomolecules, pharmaceutical drugs, hazardous molecules, etc.) and materials (nanomaterials, nuclear chemistry materials, biomaterials, etc.) are discussed. Given its scope, the book offers a valuable resource for researchers from various branches of science, and presents new techniques that can be applied to their specific problems. . Physics and astronomy SPR201911 SzGeCERN Other Fields of Physics SPR Spectroscopy SPR Microscopy SPR Mechatronics SPR Spectroscopy and Microscopy SPR SpectroscopySpectrometry SPR Solid Mechanics CONFERENCE PROCEEDINGS Singh, Dheeraj ed. Das, Sourav ed. Materny, Arnulf ed. NCASMM 2018 Acronym SPR n 201946 201911 42 PUBLIC https://catalogue.library.cern/legacy/2700269 PROCEEDINGS MIGRATED 2700267 SzGeCERN 20210422083143.0 9783030149734 electronic version (v.2) electronic version (v.2) 9783030149697 electronic version (v.1) electronic version (v.1) print version (v.2) 9783030149727 print version (v.2) 9783030149741 print version (v.2) 9783030149758 print version (v.1) 9783030149680 print version (v.1) 9783030149703 print version (v.1) 9783030149710 DOI 10.1007/978-3-030-14969-7 e-proceedings (v.1) DOI 10.1007/978-3-030-14973-4 e-proceedings (v.2) oai:cds.cern.ch:2700267 cerncds:CONF eng QA402-402.37 T57.6-57.97 519.6 23 20180718 ​2018 International Joint Conference on Industrial Engineering and Operations Management Lisbon, Portugal 18 - 20 Jul 2018 2018 lisbon20180718 24 PT XXIV IJCIEOM 20180720 ​2018 International Joint Conference on Industrial Engineering and Operations Management v.1 v.2 Cham Springer 2019 ebook Springer proceedings in mathematics & statistics 2194-1009 280-281 Dessouky, Y., Valladares, G., Valladares, C., Patel, M. H., and Jacob Tsao, H-S.: Simulating Performance for One-Dedicated-Lane Light Rail System – A Case Study -- Pereira, J.C., Lima, G. B. A., Figueiredo, A. D. F., and Frinzi, T. H. G: Risk Assessment in Fluid Penetrant Inspection (FPI) of Critical Parts via Bayesian Belief Networks and Analytic Hierarchy Process -- Sexe, F. S.: The team process capability model: A sociotechnical theoretical framework for understanding how teams interact with their environment -- Hammes, G., Nilson, M., Rodriguez, C. M. T., da Silva, F. L., and Lezana, A. G. R: Reverse logistics costs: case study in a packaging industry.-Facchini, F., De Chirico A., and Mummolo, G: Comparative cost evaluation of Material Removal Process and Additive Manufacturing in aerospace industry -- Blake, J. T.: Modelling the need for new blood donors following a change in deferral period -- Cavaeiro, A. N., Moralles, H. F., Silveira, N. J. C., Ferraz, D., and do Nascimento Rebelatto, D. A: The future risk of Internet companies: is there a medium-term convergence? -- Krainer, C. W. M., Krainer, J. A., Neto, A. I., and Romano C. A: The impact of ERP Systems on the Organizational Maturity of Brazilian Construction Companies.-Ferliler, G., Felekoglu, B., and Tasan, A. S: Choosing the Most Effective Networking Strategy and Practice for Open Innovation -- Sere, O. T. and Burcu, F: Forecasting the Innovation Potential under Uncertainty -- Ecehan, O. and Zehra, Y: Evaluation of High Rise Building Sustainability Performance -- de Oliveira, K. F., da Silva Freire, G. G., Munhoz, I. P., and Akkari, A. C. S: Pharmaceutical and Biopharmaceutical Patents: the opportunity of pharmerging countries -- Alvarez-Meaza, I., Zarrabeitia-Bilbao, E., Rio-Belver, R. M., and de Alegría, I. M: Mapping scientific and technological patterns: Hybrid Vehicles -- Hansen, J. M. and da Silva, C. E. S: Analysis of Cultural Factors That Can Influence International Research Projects by Brazilian UNIFEI Professors in The United States -- Magalhães, V. S. M., Ferreira, L. M. D. F., and Silva, C: Causes of food loss and waste: an analysis along the food supply chain -- Trojan, F. and Morais, D. C: Load Areas-sorting Methodology to aid Maintenance on Power Distribution Networks -- Barbalho, S. C. M., Leite, G. A., and de Carvalho, M. M: Using System Dynamics for simulating mechatronic new product development -- França, S. L. B., Dias, D. F., Freitag, A. E. B., Quelhas, O. L. G., and Meiriño, M. J: Lean manufacturing application analysis in the inventory management of a furniture industry -- Charrua-Santos, F., Santos, B. P., Calderón-Arce, C., Figueroa-Mata, G., and Lima5, T. M: Scheduling Operations and SMED: Complementary Ways to Improve Productivity.-de Sousa e Silva, C. and Sousa, C: “Quality Box”, a way to achieve the employee involvement -- Mariano, A. M., Reis, A. C. B., dos Santos Althoff, L., and Barros, L. B: A bibliographic review of Software Metrics: applying the Consolidated Meta-Analytic Approach -- Martins, Y. S. and da Silva, C. E. S: Risk and ISO 9001: a Systematic Literature Review -- Beller, C. S., Ramosa, L. F. P., de Freitas Rocha Louresa E., and Deschampsa, F: The Importance of Analysis Cycles in Defining Criteria for Selecting Digital Era Projects -- Ferraz, D., Yamanaka, Lie., Severino, M. R., Fuchigami, H. Y., do Nascimento Rebelatto, D. A: The Efficiency of Small Farmers in Goiânia/Brazil for Food Security: an analysis by the DEA method. Veiga, G. L., de Lima, E. P., Deschamps, F., and Wollmann, R. R. G: Performance Measurement System to Continuously Improve a Brazilian Industrial Engineering Program: A Process to ABET Accreditation -- de Oliveira, M. R., Yanai, A. E., Moreira, D. S., de Souza, C. D., and de Castro, C. E. G: Internet of Things (IoT): technological indicators from patent analysis -- Duarte, Rafael., Gorte, Leticia., and Deschamps, F: Flexibility practices in disaster response – a process approach based evaluation -- Fuchigami, H. Y., Severino, M. R., Yamanaka, Lie., and de Oliveira, M. R: A literature review of mathematical programming applications in the fresh agri-food supply chain -- de Oliveira, M. R., Yamanaka, L., Severino, M. R., and Fuchigami, H. Y: A Bibliographic Review on Social Technologies -- Lalic, B., Ciric, D., Gracanin, D., Anisic, Z: The importance of education in enhancing the innovation capacity in Serbia -- Soares, J. C. V., Neto, A. S. S., de Souza, M. A., Brandão, V. B., and de Oliveira, A. M: Descriptive Evaluation in the Public Transport Service – A study about of the satisfaction of customers -- Oliveira, J., Nunes, M., and Afonso, P: New Product Development in the Context of Industry 4.0: Insights from the Automotive Components Industry -- Rivera, R, M, F., da Silva, J. T., Júnior, M. V., Berssaneti, F. T: Risk Analysis of a Scientific Conference Organization: A Brazilian Case -- Ozan, Erol.: QR Code based Signage to Support Automated Driving Systems on Rural Area Roads -- Lamas, J., Pimentel, C. M. O., and Matias, J. C. O: A Practical Study of the Application of Value Stream Mapping to a Pre-Series Production Area -- Lemos, L. F. M., Godina, R., and Matias, J. C.O: Implementation of a Software Program for the Optimi-zation of an Oil Pump Assembly Line.-Fernandes, J. P. R., Godina, R., and Matias, J. C.O: Evaluating the Impact of 5S Implementation on Occupational Safety in an Automotive Industrial Unit -- Ribeiro, I. M., Godina, R., and Matias, J. C.O: Improving the Availability of a Production Line through TPM in an Automotive Gearbox Industrial Unit.-Neves, A., Godina, R., Azevedo, S. G., and Matias, J. C.O: Environmental, Economic and Social Impact of Industrial Symbiosis: Methods and Indicators Review -- Guia, F. C. S., Godina, R., Matias, J. C. O: Continuous Improvement in an Industrial Unit of the Wood Industry through Kanban.-Godina, R. and Matias, J. C.O.: Quality Control in the Context of Industry 4.0 -- Schulz, L., Fouto, N., Amorim, M., and Rodrigues, M: Aligning e-service attributes for hedonic and utilitarian consumption: an exploratory study in the context of consumer electronics -- Amorim, M., Rodrigues, M., and Fidalgo, C: Extracting Relevant Quality Dimensions from Online Customer Reviews in Accommodation Services -- Rampini, G. H. S., Berssaneti, F. T., and Saut, A. M: Insertion of risk management in quality management systems with the advent of ISO 9001: 2015: descriptive and content analyses -- Lelis, J. W. F., dos Santos, N. M. B. F., Akkari, A. C. S., and Munhoz, I. P: Occupational stress and job satisfaction among Brazilian managers: The case of commercial area.-Saavedra M. M. R., de O. Fontes, C. H., Soler T. V. A., and Freires, F. G. M: Exploring Complexity in Sustainable Biomass Supply Chain Management.-Lombardo, G. F.: Supply Chain Governance: A study in wineries from Brazil and Spain.-Murayama, R. C. B., Vieira, M. D., Filho, J. C. R., and Lima R. M. Productivity increase in a cellular battery line using Lean Kaizen and tools -- Souza, T. A., de Souza, M. C., Lima R. M, Pimenta, L. V. and Oliveira, M. S: Lean Healthcare Project Leader: A framework based on functions and competencies. Based on the 2018 International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM) conference that took place in Lisbon, Portugal, this proceedings volume is the first of two focusing on mathematical applications in digital transformation. The different contributions in this volume explore topics such as health care, social technologies, mathematical programming applications, public transport services, new product development, industry 4.0, occupational safety, quality control, e-services, risk management, and supply chain management. Written by renowned scientists from around the world, this multidisciplinary volume serves as a reference on industrial engineering and operations management and as a source on current findings for researchers and students who focus in business models, digital literacy and technology in education, logistics, production and information systems, and operations management. . Mathematics and statistics SPR201911 MULTIVOLUMESX SzGeCERN Mathematical Physics and Mathematics PROCEEDINGS CONFERENCE Reis, João ed. Pinelas, Sandra ed. Melão, Nuno ed. Industrial engineering and operations management I Industrial engineering and operations management II XXIV IJCIEOM Acronym SPR n 201946 201911 42 PUBLIC https://catalogue.library.cern/legacy/2700267 PROCEEDINGS MIGRATED 2700165 SzGeCERN 20210421201514.0 9783030280222 electronic version electronic version print version 9783030280215 print version 9783030280239 print version 9783030280246 DOI 10.1007/978-3-030-28022-2 ebook oai:cds.cern.ch:2700165 cerncds:BOOK eng QC19.2-20.85 519 23 Svanadze, Merab Potential method in mathematical theories of multi-porosity media Cham Springer 2019 ebook Interdisciplinary applied mathematics 0939-6047 51 Preface -- Introduction -- Fundamental Solutions in Elasticity -- Galerkin-Type Solutions and Green's Formulas in Elasticity -- Problems of Steady Vibrations of Rigid Body -- Problems of Equilibrium of Rigid Body -- Problems of Steady Vibrations in Elasticity -- Problems of Quasi-Static in Elasticity -- Problems of Pseudo-Oscillations in Elasticity -- Problems of Steady Vibrations in Thermoelasticity -- Problems of Pseudo-Oscillations in Thermoelasticity -- Problems of Quasi-Static in Thermoelasticity -- Problems of Heat Conduction for Rigid Body -- Future Research Perspectives. This monograph explores the application of the potential method to three-dimensional problems of the mathematical theories of elasticity and thermoelasticity for multi-porosity materials. These models offer several new possibilities for the study of important problems in engineering and mechanics involving multi-porosity materials, including geological materials (e.g., oil, gas, and geothermal reservoirs); manufactured porous materials (e.g., ceramics and pressed powders); and biomaterials (e.g., bone and the human brain). Proceeding from basic to more advanced material, the first part of the book begins with fundamental solutions in elasticity, followed by Galerkin-type solutions and Green’s formulae in elasticity and problems of steady vibrations, quasi-static, and pseudo-oscillations for multi-porosity materials. The next part follows a similar format for thermoelasticity, concluding with a chapter on problems of heat conduction for rigid bodies. The final chapter then presents a number of open research problems to which the results presented here can be applied. All results discussed by the author have not been published previously and offer new insights into these models. Potential Method in Mathematical Theories of Multi-Porosity Media will be a valuable resource for applied mathematicians, mechanical, civil, and aerospace engineers, and researchers studying continuum mechanics. Readers should be knowledgeable in classical theories of elasticity and thermoelasticity. Mathematics and statistics SPR201911 SzGeCERN Mathematical Physics and Mathematics SPR Geophysics SPR Geophysics and Environmental Physics BOOK SPR n 201946 201911 21 PUBLIC https://catalogue.library.cern/legacy/2700165 BOOK MIGRATED 2700036 SzGeCERN 20210422083149.0 9783030236991 electronic version electronic version 9783030236984 print version 9783030237004 print version 9783030237011 print version DOI 10.1007/978-3-030-23699-1 e-proceedings oai:cds.cern.ch:2700036 cerncds:CONF cerncds:BOOK eng HB144 QA269-272 23 519 20180627 12th International Conference on Game Theory and Management Saint Petersburg, Russia 27 - 29 Jun 2018 2018 saintpetersburg20180627 12 RU 20180629 Cham Springer 2019 ebook Static & dynamic game theory : foundations & applications 2363-8516 This book is devoted to game theory and its applications to environmental problems, economics, and management. It collects contributions originating from the 12th International Conference on “Game Theory and Management” 2018 (GTM2018) held at Saint Petersburg State University, Russia, from 27 to 29 June 2018. . Mathematics and statistics SPR201911 SzGeCERN Mathematical Physics and Mathematics SPR Game theory SPR Game Theory, Economics, Social and Behav Sciences SPR Game Theory PROCEEDINGS CONFERENCE Petrosyan, Leon ed. Mazalov, Vladimir ed. Zenkevich, Nikolay ed. Frontiers of dynamic games 201911 SPR n 201946 42 PUBLIC https://catalogue.library.cern/legacy/2700036 PROCEEDINGS MIGRATED 2699678 SzGeCERN 20210421201618.0 9781593279745 oai:cds.cern.ch:2699678 cerncds:BOOK SAFARI on1120726385 OCoLC 1120726385 2019015785 eng QA76.8.M47 Monk, Simon Micro:bit for mad scientists 30 clever coding and electronics projects for kids Microbit for mad scientists San Francisco, CA No Starch Press 2019 ebook Getting started -- Super sonic -- Luminous light -- Magical magnetism -- Amazing acceleration -- Mad movement -- Time travel -- Mad scientist mind games -- Environmental madness -- Radio activity SAF201911 SzGeCERN Computing and Computers SAF Microbit SAF Single-board computers SAF Electronics SAF Python (Computer program language) SAF JavaScript (Computer program language) BOOK https://learning.oreilly.com/library/view/-/9781098122522/?ar ebook n 201945 21 PUBLIC https://catalogue.library.cern/legacy/2699678 BOOK MIGRATED 2699367 SzGeCERN 20210421201641.0 oai:cds.cern.ch:2699367 cerncds:BOOK SAFARI 9781787781467 eng QA76.9.A25 .K469 2019 005.8 Kenyon, Bridget ISO 27001 controls a guide to implementing and auditing Ely IT Governance 2019 237 p ebook Cover -- Title -- Copyright -- Foreword -- About The Author -- Acknowledgements -- Disclaimer -- Contents -- Chapter 1: General -- 1.1 Scope of this guide -- 1.2 Field of application -- Chapter 2: Implementing and auditing ISMS control objectives and controls -- 2.1 Information security policies (ISO/IEC 27001, A.5) -- 2.2 Organization of information security (ISO/IEC 27001, A.6) -- 2.3 Human resource security (ISO/IEC 27001, A.7) -- 2.4 Asset management (ISO/IEC 27001, A.8) -- 2.5 Access control (ISO/IEC 27001, A.9) -- 2.6 Cryptography (ISO/IEC 27001, A.10) -- 2.7 Physical and environmental security (ISO/IEC 27001, A.11) -- 2.8 Operations security (ISO/IEC 27001, A.12) -- 2.9 Communications security (ISO/IEC 27001, A.13) -- 2.10 System acquisition, development and maintenance (ISO/IEC 27001, A.14) -- 2.11 Supplier relationships (ISO/IEC 27001, A.15) -- 2.12 Information security incident management (ISO/IEC 27001, A.16) -- 2.13 Information security aspects of business continuity management (ISO/IEC 27001, A.17) -- 2.14 Compliance (ISO/IEC 27001, A.18) -- Further reading. Ideal for information security managers, auditors, consultants and organisations preparing for ISO 27001 certification, this book will help readers understand the requirements of an ISMS (information security management system) based on ISO 27001.. SAF201911 EBLlink deleted XX SzGeCERN Computing and Computers BOOK https://learning.oreilly.com/library/view/-/9781787781467/?ar ebook n 201945 201911 21 PUBLIC https://catalogue.library.cern/legacy/2699367 BOOK MIGRATED 2699365 SzGeCERN 20200503232046.0 9781000497380 electronic version electronic version EBL 5897482 eng HD75.6 .B43 2020 658.408 Bhattacharya, C B Small actions, big difference leveraging corporate sustainability to drive firm and societal value Milton Routledge 2019 217 p Cover -- Half Title -- Endorsement Page -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- About the author -- Foreword by Jeffrey D. Sachs -- Foreword by Paul Polman -- Acknowledgments -- Introduction -- Bibliography -- Part I From bystanders to owners -- Chapter 1 The unsustainability of "sustainability" -- 1.1 Lots of talk and no action -- 1.2 Companies are unwilling or unable to engage -- 1.3 But there are glimmers of hope -- 1.4 Turning words into deeds -- Bibliography -- Chapter 2 The power of ownership -- 2.1 Winning over stakeholders -- 2.2 Harnessing employees' ownership -- Bibliography -- Part II Incubate: contour and concretize your sustainability domain -- Chapter 3 Contour -- 3.1 Corporate leaders need to define purpose -- 3.2 Communicating purpose aligns corporate and personal values -- 3.3 Purpose can lead employees to epiphanies -- Bibliography -- Chapter 4 Concretize -- 4.1 Corporate leaders need to set concrete goals -- 4.2 Companies need to let in the outside world -- 4.3 Focus on key initiatives - but change as things change -- 4.4 Getting started -- Bibliography -- Part III Launch: entice and enable ownership -- Chapter 5 Entice -- 5.1 Getting employees to take ownership -- 5.2 The challenge of getting companies to change -- 5.3 Making the sale to employees -- 5.4 How to sell to the board and company leadership -- 5.5 How to convince middle management -- 5.6 Remember that some people will get it, and some won't -- Bibliography -- Chapter 6 Enable -- 6.1 Passing on the lessons of sustainability -- 6.2 Lowering the costs and increasing the benefits of acting sustainably -- 6.3 Making sustainability part of everybody's day job -- 6.4 Making use of any tail winds -- Bibliography -- Part IV Entrench: demystify, enliven, and expand ownership -- Chapter 7 Demystify. 7.1 Show stakeholders their role in achieving sustainability -- 7.2 How to measure sustainability value directly and indirectly -- 7.3 Environmental rankings can spur management -- 7.4 Putting environmental and social impacts in monetary terms -- 7.5 Companies should communicate what they measure -- Bibliography -- Chapter 8 Enliven -- 8.1 Collective reaffirmation and celebration of new thinking and new goals -- 8.2 The "Three Cs" that create shared understanding -- 8.3 Using the Three Cs to entrench sustainability ownership -- Bibliography -- Chapter 9 Expand -- 9.1 Why companies need to think beyond their entire value chains -- 9.2 Competing companies need to collaborate to save the planet -- 9.3 It's safer and more effective to address risks together - and it creates higher purpose -- 9.4 Why companies have to collaborate, even if they find it hard -- 9.5 How companies can collaborate even with their biggest rivals -- Bibliography -- Conclusion -- 1 A generation of parents needs to be inspiredby its children -- 2 Quick review of the model for would-be sustainability leaders -- 3 Sustainability leaders continuously collect feedback and refine strategy -- 4 Your sustainability is unsustainable if it fails to reach other stakeholders -- Bibliography -- Index. 9780367337551 print version oai:cds.cern.ch:2699365 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5897482 ebook ebook EBL Sustainable development EBL201911 Information Transfer and Management SzGeCERN BOOK n 201945 201911 21 PUBLIC BOOK DELETED 2699359 SzGeCERN 20200503232046.0 9781420048537 electronic version electronic version EBL 5897189 eng TS155.7 .C85 2018 658.408 Culley, William C Environmental and quality systems integration Boca Raton, FL CRC Press 1998 322 p Cover -- Title Page -- Copyright Page -- Author -- Acknowledgments -- Preface -- Introduction -- Contents -- Tables -- Figures and Charts -- Part I: Background on QMS and EMS Programs -- Chapter 1: The "Quality Movement" -- 1.1 Introduction -- 1.2 The United States -- 1.2.1 American National Standards Institute (ANSI) -- 1.2.2 American Society of Quality Control (ASQC) -- 1.2.3 Total Quality Management (TQM) -- 1.2.4 Quality Systems Requirements (QS-9000) -- 1.2.5 Malcolm Baldridge National Quality Award -- 1.3 The European Union -- 1.3.1 European Commission (EC) -- 1.3.2 British Standards Institute (BSI) -- 1.4 Canada -- 1.5 Japan -- 1.6 International Standardization Organization -- 1.7 The Deming Prize -- 1.7.1 Deming's 14 Points for Management -- 1.8 Conclusion -- Chapter 2: The "Environmental Movement" -- 2.1 Introduction -- 2.2 The United States -- 2.2.1 American Petroleum Institute (API) -- 2.2.1.1 American Petroleum Institute Environmental, Health and Safety Mission and Guiding Principles -- 2.2.2 Environmental Protection Agency (EPA) -- 2.2.3 Responsible Care® Program -- 2.2.3.1 Guiding Principles of Responsible Care® -- 2.3 The European Union -- 2.3.1 Eco-Management Audit Scheme (EMAS) -- 2.3.2 British Standard 7750 -- 2.4 North And South America -- 2.4.1 Mexico -- 2.4.2 Brazil -- 2.4.3 The Rest of Latin Am erica -- 2.4.4 Canada -- 2.5 Asian/Pacific Rim -- 2.5.1 Japan -- 2.5.2 Australia -- 2.5.3 Hong Kong -- 2.5.4 Taiwan -- 2.6 Total Quality Environmental Management -- 2.7 Conclusion -- Chapter 3: Background on ISO 14000 -- 3.1 Introduction -- 3.2 Sustainable Development -- 3.2.1 ICC Business Charter for Sustainable Development -- 3.2.2 Earth Summit 1992 -- 3.3 Montreal Protocol -- 3.4 Concerns Over ISO 14000 Standards -- 3.4.1 Trade Barriers -- 3.4.1.1 General Agreements on Tariffs and Trade (GATT). 3.4.1.2 The World Trade Organization -- 3.4.2 De facto Regulations and Legal Concerns -- 3.4.3 Cost of Implementation -- 3.4.4 Applicability -- 3.4.5 Prior Standards -- 3.5 Similarities and Differences of the ISO Standards -- 3.5.1 Similarities -- 3.5.2 Differences -- 3.6 Conclusion -- Chapter 4: Benefits of ISO System Integration -- 4.1 Introduction -- 4.2 Cost Effectiveness and Profitability -- 4.3 Document Control -- 4.4 Insurance -- 4.5 Auditing -- 4.6 Overall Business Decision-Making -- 4.7 Introduction -- Part II: Integrating the Policy -- Chapter 5: The Policy -- 5.1 Introduction -- 5.2 ISO 9001 Requirements -- 5.3 ISO 14001 Requirements -- 5.4 Policy Differences -- 5.4.1 Continual Improvement -- 5.4.2 Prevention of Pollution -- 5.4.3 Commitment to Legal Compliance and Other Requirements -- 5.5 Other Standards And Principles -- 5.6 Developing An Integrated Policy -- 5.7 What Auditors Will Look For -- 5.8 Conclusion -- Part III: Planning -- Chapter 6: Environmental Aspects -- 6.1 Introduction -- 6.2 What is an "Environmental Aspect"? -- 6.3 ISO 9001 Requirements -- 6.3.1 Design Input, Output, and Changes -- 6.3.2 Purchasing and Customer-Supplied Product -- 6.3.3 Control of Nonconforming Product -- 6.3.4 Handling, Storage, Packaging, Preservation, and Delivery -- 6.4 What Auditors Will Look For -- Chapter 7: Legal and Other Requirements -- 7.1 Introduction -- 7.2 What are "Legal and Other Requirements"? -- 7.3 ISO 9001 Requirements -- 7.4 An Environmental Design Review -- 7.4.1 National Requirements -- 7.4.2 International Requirements -- 7.5 What Auditors Will Look For -- Chapter 8: Objectives, Targets, and Environmental Management Programs -- 8.1 Introduction -- 8.2 ISO 14001 Requirements -- 8.3 ISO 9001 Requirements -- 8.4 Scenario -- 8.5 What Auditors Will Look For -- 8.6 Conclusion -- Part IV: Implementation and Operation. Chapter 9: Structure and Responsibility -- 9.1 Introduction -- 9.2 Structure and Responsibility -- 9.2.1 The Relationship between ISO 9001 and ISO 14001 -- 9.2.2 Defining the Structure -- 9.2.3 Responsibility and Authority -- 9.2.4 Resources -- 9.2.5 Management Representative -- 9.2.6 Combined Job Descriptions -- 9.2.7 Nonmanagement Personnel -- 9.3 What Auditors Will Look For -- Chapter 10: Training, Awareness, and Competence -- 10.1 Introduction -- 10.2 A Comparison of the Standards -- 10.3 Training -- 10.4 Awareness -- 10.5 Competence -- 10.6 What Auditors Will Look For -- Chapter 11: Communication -- 11.1 Introduction -- 11.2 Comparison of the Standards -- 11.3 Internal Communications -- 11.3.1 Purpose of Internal Communication -- 11.3.2 Scope of Internal Communication -- 11.3.3 Contents of Internal Communication -- 11.3.4 Types of Internal Communication -- 11.4 External Communications -- 11.4.1 Inquiries and Questionnaires -- 11.4.2 Customer and Other External Complaints -- 11.5 What Auditors Will Look For -- Chapter 12: EMS Documentation -- 12.1 Introduction -- 12.2 The Scope of QMS and EMS Documentation -- 12.3 The Operational Manual -- 12.3.1 The Document Directory -- 12.4 What Auditors Will Look For -- Chapter 13: Document Control -- 13.1 Introduction -- 13.2 Quality Control of Environmental Documents -- 13.3 Document Control Procedure -- 13.4 Other EMS Documents -- 13.4.1 Environmental Department Controlled Documents -- 13.5 What Auditors Will Look For -- Chapter 14: Operational Control -- 14.1 Introduction -- 14.2 ISO 14001 Requirements -- 14.3 Comparison with ISO 9001 -- 14.4 Maintenance Activities -- 14.5 Documented Procedures and Operating Criteria -- 14.6 Goods and Services -- 14.6.1 Environmental Reviews -- 14.6.2 Product Specifications -- 14.6.3 Incoming Inspection -- 14.7 Contract Suppliers -- 14.8 Onsite Contractors. 14.9 What Auditors Will Look For -- Chapter 15: Emergency Preparedness and Response -- 15.1 Introduction -- 15.2 The ISO 14001 Requirement -- 15.3 The EPRP Document -- 15.3.1 Preparedness Activities -- 15.3.2 Response Activities -- Part V: Checking and Corrective Action -- Chapter 16: Monitoring and Measurement -- 16.1 Introduction -- 16.2 Monitoring and Measurement -- 16.3 Relationship to ISO 9001 -- 16.4 A Monitoring and Measurement Procedure -- 16.5 Recording of Information.... ? -- 16.5.1 Air Emissions -- 16.5.2 Hazardous Waste Minimization -- 16.5.3 Solid Waste and Recycling -- 16.5.4 Utilities and Natural Resources -- 16.6 Calibration -- 16.7 What Auditors Will Look For -- Chapter 17: Nonconformance and Corrective and Preventive Action -- 17.1 Introduction -- 17.2 Comparison of the Standards -- 17.3 Defining a Nonconformance -- 17.4 Corrective Action -- 17.4.1 Corrective Action Procedure -- 17.4.2 Risk Assessment -- 17.5 Preventive Action -- 17.6 What Auditors Will Look For -- Chapter 18: Records -- 18.1 Introduction -- 18.2 Comparison of the Standards -- 18.3.1 Types of Records -- 18.3 What is a Record? -- 18.4 Retention Requirements -- 18.5 Identification, Collection, Indexing, Access, Filing, Storage, Maintenance, and Disposition -- 18.6 What Auditors Will Look For -- Chapter 19: Environmental Management System Audit -- 19.1 Introduction -- 19.2 Comparison of the Standards -- 19.3 A Preassessment Evaluation -- 19.4 Internal Audits -- 19.4.1 Area-Specific Internal Audits -- 19.5 Internal Audit Procedure -- 19.5.1 Schedule -- 19.6 What Auditors Will Look For -- Part VI: Management Review -- Chapter 20: Management Review -- 20.1 Introduction -- 20.2 Comparison of the Standards -- 20.3 What Should Be Reviewed? -- 20.4 Management Review Process Procedure -- 20.5 Environmental Management Committee -- 20.6 What Auditors Will Look For. Part VII: Conclusion -- 21. The Future -- 21.1 ISO Health and Safety Standards -- 21.2 Rio + 5 -- 21.3 Final Comments -- References -- Appendix A: List of Abbreviations and Acronyms -- Appendix B: Comparison of ISO 9001 and ISO 14001 -- Appendix C: Related Sections of ISO 14001, ISO 9001, BS 7750, and EMAS -- Appendix D: International Chamber of Commerce's Business Charter for Sustainable Development -- Appendix E: The Rio Declaration on Environment and Development -- Appendix F: ISO 14001 Self-Assessment Checklist -- Appendix G: Keidanren Global Environment Charter -- Appendix H: EHS Questionnaire for Existing and Proposed Critical Materials and/or Components Suppliers -- Appendix I: The ISO 14001 Framework -- Bibliography -- Index. 9781566702881 print version oai:cds.cern.ch:2699359 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5897189 ebook ebook EBL ISO 14000 Series Standards EBL ISO 9000 Series Standards EBL201911 Information Transfer and Management SzGeCERN BOOK n 201945 21 PUBLIC BOOK DELETED 2699326 SzGeCERN 20210421201652.0 9780128156377 electronic version electronic version 9780128153697 print version oai:cds.cern.ch:2699326 cerncds:BOOK EBL 5894104 eng R856 .W437 2020 610.28 Dey, Nilanjan Wearable and implantable medical devices applications and challenges San Diego, CA Elsevier Science & Technology 2019 279 p ebook Front Cover -- Wearable and Implantable Medical Devices -- Copyright Page -- Contents -- List of contributors -- Preface -- 1 Internet of Things-triggered and power-efficient smart pedometer algorithm for intelligent wearable devices -- 1.1 Introduction -- 1.2 Intelligent wearable device description -- 1.3 Intelligent wearable device pedometer algorithm and evaluation -- 1.4 Application development -- 1.4.1 ThingSpeak server -- 1.4.2 Virtuino app -- 1.5 Software development -- 1.6 Results -- 1.7 Conclusion -- References -- Further reading -- 2 Biosensors and Internet of Things in smart healthcare applications: challenges and opportunities -- 2.1 Introduction -- 2.2 Health challenges for the elderly, older workers, and infants -- 2.3 Challenges and opportunities for technology-enabled care -- 2.3.1 Low-cost technology -- 2.3.2 Modular, interoperable, expandable solutions -- 2.3.3 Big data and machine learning -- 2.3.4 Security and privacy -- 2.4 Internet of Things and Internet of Medical Things building blocks for health and well-being applications -- 2.4.1 Smart environment enablers -- 2.4.1.1 Wearable and assistive medical devices -- 2.4.1.2 Mobile devices -- 2.4.1.3 Environmental monitoring and Internet of Things platforms -- 2.4.1.4 Camera-based monitoring of humans -- 2.4.2 Back end enablers for personalized recommendations -- 2.4.2.1 Knowledge abstraction for user profiling and temporal reasoning -- 2.4.2.2 Context-aware recommendations -- 2.4.3 Security and privacy enablers -- 2.5 Smart healthcare applications-state-of-the-art research efforts -- 2.5.1 SMART BEAR-smart living solution platform for the elderly -- 2.5.1.1 Targeted pilot environments -- 2.5.1.2 The SMART BEAR consortium -- 2.5.2 sustAGE-smart environments for person-centered sustainable work and well-being -- 2.5.2.1 The industry domains. 2.5.2.1.1 The case of assembly line workers in the automotive industry -- 2.5.2.1.2 The case of port workers in the transportation and logistics industry -- 2.5.2.2 Internet of Things ecosystem and system functionalities -- 2.5.2.3 The sustAGE consortium -- 2.5.3 xVLEPSIS-an intelligent noninvasive biosignal recording system for infants -- 2.5.3.1 Integration of smart biosignal sensors in a detection system for hazardous conditions -- 2.6 Conclusion -- Acknowledgments -- References -- Further reading -- 3 Wearable electroencephalography technologies for brain-computer interfacing -- 3.1 Introduction -- 3.2 Current state of brain-computer interface-based communicators -- 3.3 Current developments in sensor technology -- 3.4 Current developments in wearable and wireless brain-computer interface -- 3.5 The future of wearable brain-computer interface -- References -- Further reading -- 4 AdaptableSDA: secure data aggregation framework in wireless body area networks -- 4.1 Introduction -- 4.2 Background -- 4.2.1 Proposed work -- 4.3 Main focus of the chapter -- 4.3.1 AdaptableSDA: end-to-end integrity -- 4.3.2 AdaptableSDA: hop-by-hop integrity -- 4.3.3 Proposed aggregation protocol -- 4.3.3.1 Bootstrapping -- 4.3.3.2 Aggregation tree construction -- 4.3.4 Establishment of keys -- 4.3.5 Aggregation phase -- 4.4 Solutions -- 4.4.1 Example of end-to-end approach -- 4.4.2 Example of hop-by-hop approach -- 4.4.3 Metrics of evaluation -- 4.4.4 Results of various configurations of SDA -- 4.4.5 Results of aggregation protocol -- 4.5 Future research directions -- 4.5.1 Existing issues, challenges, and problems -- 4.5.2 Future directions -- 4.6 Conclusion -- References -- Further reading -- 5 Screening and early identification of microcalcifications in breast using texture-based ANFIS classification -- 5.1 Introduction -- 5.2 Literature review. 5.2.1 Medical imaging modalities -- 5.2.2 Mammographic image classification -- 5.3 Methodology -- 5.3.1 Two-way classification and feature extraction technique -- 5.3.2 K-means algorithm -- 5.3.3 Adaptive neurofuzzy structure -- 5.4 Results for diagnosis of microcalcification in breast -- 5.4.1 Image acquisition -- 5.4.2 Preprocessing -- 5.4.3 Edge detection -- 5.4.4 Feature extraction -- 5.4.5 Performance evaluation -- 5.5 Discussions -- 5.6 Conclusion -- 5.7 Future scope -- References -- Further reading -- 6 Work environment and healthcare: a biometeorological approach based on wearables -- 6.1 Introduction -- 6.2 Biometeorological framework for the use of wearables -- 6.2.1 Wearable devices and wearable sensors -- 6.2.2 Biometeorology and health -- 6.3 Heat stress and physiological mechanisms -- 6.3.1 The homeostatic process: a medical approach -- 6.3.2 Heat control systems and pathways -- 6.4 Wearables, heat stress, and the workplace -- 6.4.1 Heat at work: a global concern -- 6.4.2 Wearables and heat indexes -- 6.4.3 Case studies: outdoors versus indoors -- 6.4.3.1 Outdoors thermal comfort and heart rate -- 6.4.3.2 Indoors thermal comfort and heart rate -- 6.5 Conclusion -- References -- Further reading -- 7 Reading Assistant: a reciter in your pocket -- 7.1 Introduction -- 7.2 Related work -- 7.3 Reading Assistant architecture -- 7.3.1 Preprocessing module -- 7.3.2 Optical character recognition -- 7.3.2.1 Image scanning -- 7.3.2.2 Segmentation -- 7.3.3 Text-to-speech module -- 7.3.3.1 Text analysis and detection -- 7.3.3.2 Text normalization and linearization -- 7.3.3.3 Phonetic analysis -- 7.3.3.4 Prosodic modeling and intonation -- 7.3.3.5 Acousting processing -- 7.3.4 Raspberry Pi -- 7.4 Analysis -- 7.5 Summary -- References -- 8 Toward secure and privacy-preserving WIBSN-based health monitoring applications -- 8.1 Introduction. 8.2 The chapter's motivation -- 8.3 WIBSN-based healthcare system -- 8.3.1 The system architecture -- 8.3.2 A three-layered communication architecture -- 8.3.3 Health monitoring applications -- 8.4 Primary attacks targeting healthcare applications -- 8.4.1 Eavesdropping on radio communications among sensors -- 8.4.2 Denial of service: attacks against system availability and integrity -- 8.5 Security and privacy requirements -- 8.6 Security awareness and privacy preservation techniques -- 8.6.1 Proximity-based access control mechanism -- 8.6.1.1 Ultrasonic-AC approach -- 8.6.1.2 Energy-aware proximity-based access control techniques -- 8.6.2 Biometrics-based privacy preserving mechanisms -- 8.6.2.1 ECG characteristics -- 8.6.2.2 ECG features extraction using fast Fourier transform -- 8.6.2.3 Powerless mutual authentication using generated biometric keys -- 8.6.2.4 Establishment of secure communication -- 8.6.3 External/wearable hardware-based solutions -- 8.7 Comparison of security techniques -- 8.8 Emerging security challenges -- 8.9 Conclusion -- References -- Further reading -- 9 Smart ambulance traffic management system (SATMS)-a support for wearable and implantable medical devices -- 9.1 Introduction -- 9.2 Case study -- 9.3 Proposed design -- 9.3.1 Design -- 9.3.1.1 Sensors -- 9.4 Results and discussion -- 9.5 Conclusion -- References -- Further reading -- 10 Internet of things-linked wearable devices for managing food safety in the healthcare sector -- 10.1 Introduction -- 10.2 Background and context -- 10.2.1 Food hygiene and safety -- 10.2.2 Food spoilage and deterioration -- 10.2.3 Foodborne disease -- 10.2.4 Food safety hazards -- 10.2.4.1 Chemical -- 10.2.4.2 Physical -- 10.2.4.3 Microbiological -- 10.2.5 Management of food hazards -- 10.2.5.1 Good Manufacturing Practices -- 10.2.5.2 Hazard Analysis and Critical Control Points. 10.3 Healthcare food service facilities -- 10.4 System design -- 10.4.1 IoT-based architecture for food safety in healthcare -- 10.4.2 Advantages of adopting IoT-based wearable devices in healthcare food preparation -- 10.4.3 Utilizing wearable IoT technologies to solve food safety issues in healthcare preparation -- 10.4.4 Features and requirements of sensors used in wearable devices for food safety applications -- 10.5 Discussion -- 10.6 Conclusion -- References -- Further reading -- Index -- Back Cover. EBL201911 Health Physics and Radiation Effects SzGeCERN BOOK Ashour, Amira S James Fong, Simon Bhatt, Chintan https://cds.cern.ch/auth.py?r=EBLIB_P_5894104 ebook n 201945 201911 21 PUBLIC https://catalogue.library.cern/legacy/2699326 BOOK MIGRATED 2699323 SzGeCERN 20191219215721.0 9781000439328 electronic version electronic version EBL 5894049 eng TJ165 .B458 2020 621.3126 Belu, Radian Energy storage, grid integration, energy economics, and the environment Milton CRC Press 2019 391 p Nano and energy Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgment -- Author -- 1: Energy Storage Systems -- 1.1 Introduction, Energy Storage Overview -- 1.2 Energy Storage System Functions -- 1.2.1 Summary of Benefits from Energy Storage -- 1.3 Energy Storage Technologies -- 1.3.1 Classification of Energy Storage Technologies -- 1.3.2 Pumped Hydroelectric Energy Storage -- 1.3.3 Compressed Air Energy Storage (CAES) -- 1.3.4 Flywheel Energy Storage (FES) -- 1.3.5 Superconducting Magnetic Energy Storage -- 1.3.6 Supercapacitors -- 1.3.7 Thermal Energy Storage -- 1.4 Energy Storage for Electric Grid and Renewable Energy Applications -- 1.4.1 Parameters of an Energy Storage Device -- 1.5 Summary -- Questions and Problems -- References and Further Readings -- 2: Batteries, Fuel Cells and Hydrogen Energy -- 2.1 Introduction, Electrochemistry Basics -- 2.2 Battery Types and Characteristics -- 2.2.1 Battery Types -- 2.2.2 Battery Fundamentals, Parameters and Electric Circuit Models -- 2.2.3 Summary of Battery Parameters -- 2.3 Flow Batteries and Special Battery Types -- 2.4 Fuel Cells -- 2.4.1 Fuel Cell Principles and Operation -- 2.4.2 Fuel Cell Types and Applications -- 2.4.2.1 PEM Fuel Cell Stack Construction and Design Considerations -- 2.4.3 Actual Fuel Cell Operation -- 2.5 Hydrogen Energy and Economy -- 2.6 Summary -- Questions and Problems -- References and Further Readings -- 3: Biomass, Biofuels, Waste-to-Energy Recovery -- 3.1 Introduction, Bioenergy Concepts and Issues -- 3.1.1 Biomass as Fuel and Solar Energy Storage -- 3.2 Biomass Potentials and Uses -- 3.2.1 Biomass Potential and Applications -- 3.2.2 Biomass Conversion and Utilization Methods -- 3.2.3 Biomass Processes and Upgrading Procedures -- 3.2.4 Renewable Methane from Biomass -- 3.3 Biofuels -- 3.3.1 Solid, Liquid and Gaseous Biofuels. 3.3.2 Biomass to Ethanol Conversion -- 3.3.3 Biodiesel or Vegetable Oil -- 3.3.4 Methanol Production -- 3.3.5 Biogas Production -- 3.3.6 Principles of Anaerobic Digestion -- 3.4 Further Aspects of Hydrogen Economy -- 3.5 Environmental and Land-Usage in Biomass and Biofuels Applications -- 3.6 Waste-to-Energy Recovery -- 3.6.1 Waste Management -- 3.7 Summary -- Questions and Problems -- Further Readings and References -- 4: Electric Utility Integration of Renewable Energy Systems -- 4.1 Electrical Power System Basics -- 4.1.1 Three-Phase Systems -- 4.1.2 Power Relationships in Three-Phase Circuits -- 4.1.3 Power System Components and Structure -- 4.1.4 Power Transmission and Distribution -- 4.1.5 Requirements and Services for the Electrical Systems -- 4.1.6 Distributed Generation and Renewable Energy Sources in Modern Power Systems -- 4.2 Grid Integration of Renewable Energy Systems -- 4.2.1 Generation Unit Power System Connection -- 4.2.2 Issues Related to Grid Integration of Small-Scale Renewable Energy Generation -- 4.3 Power Electronics Circuits -- 4.3.1 DC-DC Power Converters -- 4.3.2 Rectifiers and Other Power Electronics -- 4.3.3 DC-AC Power Converters or Inverters -- 4.4 System Grid Integration Specifications, Issues and Requirements -- 4.4.1 Grid-Connected PV Systems -- 4.4.2 WECS Grid Integration -- 4.4.3 Balancing Power Systems with Large RES and DG Integration -- 4.5 Summary -- Questions and Problems -- Further Readings and References -- 5: Economics, Energy Management and Conservation -- 5.1 Introduction, Renewable Energy Potential and Economics -- 5.2 Economic Aspects and Cost Analysis of Renewable Energy Systems -- 5.2.1 Energy Cost Calculations without Capital Return -- 5.2.2 Basic Concepts, Definitions and Approaches -- 5.2.3 Critical Parameters and Indicators -- 5.2.4 Natural Resource Evaluation. 5.2.5 Methods for Payback Period Estimates -- 5.2.6 Rate of Return Analysis, Benefit-Cost Ratio Analysis and Net Benefits Method -- 5.3 Life Cycle Cost Analysis of Renewable Energy -- 5.4 Economic Analysis of Major Renewable Energy Systems -- 5.4.1 Wind Energy Economics -- 5.4.2 Solar Energy System Cost and Economic Analysis -- 5.4.3 Bioenergy Cost Analysis -- 5.4.4 Geothermal Energy Economics -- 5.4.5 Economic Analysis of Small Hydropower -- 5.5 Summary -- Questions and Problems -- References and Further Readings -- 6: Distributed Generation and Microgrids -- 6.1 Introduction, Distributed and Dispersed Generation -- 6.2 Microgrid Concepts, Configurations and Architectures -- 6.2.1 Microgrid Features and Benefits -- 6.2.2 Summary of the Microgrid Concepts, Issues, Objectives and Benefits -- 6.2.3 Microgrids versus Virtual Power Plants -- 6.2.4 Microgrid Architecture, Types and Structure -- 6.2.5 Microgrid Key Components and Challenges -- 6.3 Microgrid Control, Protection and Management -- 6.3.1 Microgrid Control Methods -- 6.3.2 Protection of Microgrids -- 6.3.3 Microgrid Protection Issues and Techniques -- 6.4 DC Microgrids and Nanogrids -- 6.4.1 DC-DC Converters -- 6.4.2 DC Nanogrids, Configurations and Applications -- 6.4.3 Control of Low-Voltage DC Microgrids -- 6.4.4 DC Microgrid Protection -- 6.5 Summary -- Questions and Problems -- References and Further Readings -- 7: Renewable Energy Environmental Impacts -- 7.1 Introduction, Renewable Energy Environmental Implications -- 7.2 Life-Cycle Assessment and Analysis -- 7.2.1 LCA of Renewable Energy Technologies -- 7.2.2 Examples of the LCA Applications -- 7.3 Environmental Impacts of the Renewable Energy Sources -- 7.3.1 Solar Energy -- 7.3.2 Environmental Effects of Wind Energy -- 7.3.3 Geothermal Energy Environmental Issues -- 7.3.4 Environmental Impacts of Water Energy Systems. 7.3.5 Bioenergy Environmental Analysis -- 7.3.6 Environmental Implications of Energy Storage Systems -- 7.3.7 Waste-to-Energy Recovery Environmental Implications -- 7.4 Energy Management and Energy Conservation -- 7.5 Summary -- Questions and Problems -- Further Readings and References -- Appendix A -- Appendix B -- Index. 9780367261405 print version oai:cds.cern.ch:2699323 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5894049 ebook ebook EBL201911 Engineering SzGeCERN BOOK n 201945 201911 21 PUBLIC BOOK DELETED 2699314 SzGeCERN 20210421201655.0 9781536159233 electronic version electronic version 9781536159226 print version oai:cds.cern.ch:2699314 cerncds:BOOK EBL 5893827 eng HB615 .M376 2019 658.421 Masouras, Andreas Entrepreneurship in small and medium-sized enterprises New York, NY Nova Science Publishers 2019 328 p ebook Business issues, competition and entrepreneurship Intro -- Contents -- List of Figures -- List of Diagrams -- List of Tables -- Preface -- Acknowledgements -- Chapter 1 -- Introduction -- 1.1. Introductory Note: Purposes, Central Questions, and Assumptions of This Study -- 1.2. Analytical Framework: Institutionalism, Entrepreneurship, and Innovation -- 1.3. Measuring Entrepreneurship and Its Related Concepts-Indicators -- 1.4. Originality Parameters of This Study -- 1.5. The Connection between Entrepreneurship, Young Entrepreneurship, and Innovation under the Lens of Institutional Analysis -- 1.6. Methodology -- 1.6.1. The Young People's Opinion of Institutions - Perceptions Analysis -- 1.7. Structure of This Study -- Chapter 2 -- Theory -- 2.1. Entrepreneurship and Competitiveness under the Prism of the Institutional Approach: A Theoretical Analysis -- 2.2. The Conceptual Approach of Institutional Economics -- 2.3. Global Inequalities, Growth Rates, and Competitiveness -- 2.4. Setting the Boundaries of the Theoretical Field -- 2.5. A Discussion of the Characteristics of Cypriot Economy and Entrepreneurship -- Chapter 3 -- Literature Review -- 3.1. Institutions, Competitiveness, and Growth -- 3.2. The Issue of Entrepreneurship -- 3.3. The Issue of Young Entrepreneurship -- 3.4. Implementing Innovation in Businesses, with Emphasis on SMEs: The Practical and Institutional Approach -- 3.5. The Red and Blue Oceans Strategy: Entrepreneurship and Innovation under the Prism of Competition -- 3.6. Porter's Five Forces and Their Correlation with Innovation -- 3.6.1. The Threat of New Entrants -- Economies of Scale and Experience -- Product Differentiation -- Access to Distribution Channels -- 3.6.2. Bargaining Power of Buyers -- 3.6.3. The Bargaining Power of Suppliers -- 3.6.4. The Threat of Substitutes -- 3.6.5. Rivalry between Incumbents. 3.7. Institutional Analysis through the PESTEL Approach -- A. Political Factors -- B. Economic Factors -- C. Social Factors -- D. Technological Factors -- E. Environmental Factors -- F. Legal Factors -- 3.8. Institutions and Economic Policy -- 3.9. The Four Groups of Institutional Barriers to Entrepreneurial Growth: PRCM -- A. Political Barriers -- B. Barriers Related to Available Resources -- C. Cognitive Barriers -- D. Motivation Barriers -- 3.10. Institutions, Social Policy and Entrepreneurship -- 3.11. The Cultural Dimension -- 3.12. The Gap in, and This Study's Contribution to, the Scientific Debate -- Chapter 4 -- Research Methodology: The Methodological Approach to the Institutional Analysis of Entrepreneurship -- 4.1. The Research Approach to the Study -- 4.1.1. The Research Design -- 4.1.2. The Research Strategy -- 4.2. Sampling -- 4.3. The Type of Research Method -- 4.3.1. Secondary and Primary Research -- 4.3.1.1. Secondary Research -- 4.3.1.2. Primary Research -- 4.3.1.3. The Quantitative and Qualitative Research Approach -- 4.4. The Design of the Primary Research Tools -- 4.4.1. Questionnaires (Fully Structured Interviews) -- 4.4.2. Telephone Interviews -- 4.4.3. Focus Groups: The Qualitative Corroboration of the Primary Data of the Research -- 4.4.4. Personal Interviews -- 4.4.5. Case Studies -- 4.5. The P.E.S.T.E.L. Framework and Its Application in Institutional Research: The Methodological Approach -- 4.6. The Institutional Voids Analysis Through the PRCM Approach -- 4.7. Other Approaches That Support the Research Methodology -- 4.8. Statistical Analysis and Econometric Approach -- 4.9. Evaluation of the Methodology -- 4.10. Limitations of the Methodology -- 4.11. Further Methodological Considerations -- Chapter 5 -- Young Entrepreneurship in Cyprus: An Institutional Analysis -- 5.1. Demographic Details. 5.2. Employment in the Public or Private Sector, or Self-Employment? -- 5.3. Difficulty of Setting up a Business -- 5.4. The Influence of External Factors -- 5.5. Business Success Factors -- 5.5.1. Decisiveness -- 5.5.2. Honesty -- 5.5.3. Versatility -- 5.5.4. Enthusiasm -- 5.5.5. Risk-Taking -- 5.5.6. Unprincipled Entrepreneur -- 5.5.7. Existence of Vision -- 5.5.8. Flexibility -- 5.5.9. Creativity -- 5.6. Business Activity Hesitations -- 5.7. Business Support -- 5.7.1. The Design of a Business -- 5.7.2. The Operation of a Business -- 5.7.3. Human Resources -- 5.7.4. Financing -- 5.8. Readiness to Set Up a Business -- 5.9. Abilities -- 5.9.1. Ability to Recognise Business Opportunities -- 5.9.2. Creative Ability -- 5.9.3. Problem-Solving Ability -- 5.9.4. Leadership and Communication Ability -- 5.9.5. Ability to Develop New Products and Services -- 5.9.6. Collaboration/Networking Ability -- 5.9.7. Male/Female Ability -- 5.10. Comparative Analysis and Discussion of the Above Factors of the Questionnaire on Young Entrepreneurship: The Issues That Arise -- 5.11. Analysis of Variance (ANOVA Test) -- 5.12. Comparative Analysis Vis-a-Vis the Findings of the Focus Groups -- Chapter 6 -- Institutional Analysis of Innovation in Cypriot Small and Medium-Sized Enterprises -- 6.1. Questionnaire Description and Variables -- 6.2. Analysis -- 6.3. Secondary Issues -- 6.4. Conclusions and Correlations Regarding Innovation -- Chapter 7 -- Discussion -- 7.1. Institutions and Entrepreneurship: The Necessity of a Sound Institutional Framework -- 7.2. The Results of the Research under the Prism of the PRCM Approach -- 7.3. The Originality of the Methodological Approach -- 7.4. Institutional Voids and Entrepreneurial Growth -- 7.5. Innovation Challenges: Towards a National Strategy Framework for Enhancing Competitiveness. 7.5.1. Neapolis Smart EcoCity: The Evolution of Neapolis University and the Role of Local Innovation -- 7.6. The Dichotomy Syndrome: Thinkers vs. Doers -- 7.7. Young Entrepreneurship as the Basis for Tomorrow's Market -- 7.8. The Hybrid Institutional Model of Entrepreneurship and Innovation -- 7.9. Research Takeaways -- 7.10. Research Implications: From the Case of Cyprus to a Wider Scope -- Abbreviations -- References -- Greek-Language Bibliography (In English Language) -- About the Author -- Index -- Blank Page. EBL201911 Information Transfer and Management SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5893827 ebook n 201945 201911 21 PUBLIC https://catalogue.library.cern/legacy/2699314 BOOK MIGRATED 2699310 SzGeCERN 20210421201656.0 9781536160451 electronic version electronic version 9781536160444 print version oai:cds.cern.ch:2699310 cerncds:BOOK EBL 5893815 eng QD716.P45 .P468 2019 541.395 Ikram, Saiqa Photocatalysis New York, NY Nova Science Publishers 2019 310 p ebook Nanotechnology science and technology Intro -- Contents -- Preface -- Acknowledgments -- Chapter 1 -- Photocatalysis: Essentials, Mechanism, and Effective Parameters -- Abstract -- 1. Introduction -- 2. Principle and Mechanism -- 2.1. Indirect Mechanism -- 2.1.1. Photo-Excitation -- 2.1.2. Ionization of Water Molecules -- 2.1.3. Ionosorption of Oxygen -- 2.1.4. Protonation of Superoxide -- 2.2. Direct Mechanism -- 3. Effective Parameters of Photocatalysis -- 3.1. Catalyst: Size, Surface Area, Structure and Morphology -- 3.2. Amount of Catalyst Loaded -- 3.3. A Concentration of Pollutants (or Dye) -- 3.4. Effect of pH -- 3.5. Free Oxygen in Solution -- 3.6. Effect of Oxidant -- 3.7. Effect of Intensity and Wavelength of Light -- 3.8. Effect of Reaction Temperature -- Conclusion -- References -- Chapter 2 -- Photocatalysis: Fundamental Classifications -- Abstract -- 1. Introduction -- 2. Types of Photocatalytic Reactions -- 3. Types of Nanocomposites Photocatalysis -- Conclusion -- References -- Chapter 3 -- Artificial Photosynthesis: Classical Approach of Photocatalyst -- Abstract -- 1. Introduction -- 2. Renewable/Sustainable Energy Production -- 3. Photocatalytst for Over All Water Splitting -- 4. Photocatalytst for Hydrogen Production -- 5. Photocatalytst for Oxygen Production -- Future Prospective -- Conclusion -- References -- Chapter 4 -- Biopolymer Based Photocatalysts and Their Applications -- Abstract -- 1. Introduction -- 2. Natural Polymers for Photocatalytic Materials -- 2.1. Chitosan -- 2.2. Alginate -- 2.3. Cellulose -- 3. Applications -- 3.1. Photocatalytic Degradation of Organic Pollutants -- 3.2. Photocatalytic Disinfection of Biological Pollutants -- 3.3. Photocatalytic Degradation of Inorganic Pollutants -- Conclusion -- Acknowledgment -- References -- Chapter 5 -- Photocatalytic Perspectives of Nanomaterials for Envrionmental Protection -- Abstract. Introduction -- Clean Energy Production and Storage Applications -- Biosensors and Medical Applications -- Food and Agriculture -- Transportation Applications -- Environmental Remediation -- Conclusion -- References -- Chapter 6 -- Challenges and Influencing Factors of Nanoparticles for Photocatalysis: A Classical Approach in Their Synthesis -- Abstract -- 1. Introduction -- 2. Synthesis Methods of Nanostructures -- 3. Top-Down Technique: Synthesis of Nanostructures from Bulk Material -- 3.1. Mechanical Milling -- 3.2. Nanolithography -- 3.3. Laser Ablation -- 3.3.1. Gas Phase PLA -- 3.3.2. Liquid Phase PLA -- 3.4. Sputtering -- 3.5. Thermal Decomposition -- 4. Bottom-UP: Synthesis of Nanostructures from Atomic Level -- 4.1. Sol Gel -- 4.2. Spinning -- 4.3. Chemical Vapour Deposition (CVD) -- 4.4. Pyrolysis -- 4.5. Biosynthesis -- 5. Size and Shape-Dependent Properties of Nanostructures -- 5.1. Quantum Confinement -- 5.2. Absorption of Solar Radiations -- 5.3. The Larger Surface Area to Volume Ratio -- 5.4. Nano-Catalyst -- 6. Size and Shape Control of Nanostructures -- 6.1. Control of Size -- 6.2. Control of Shape -- Conclusion -- Acknowledgments -- References -- Chapter 7 -- Controlled Chemical Synthesis of Nanomaterials: A Fundamental Necessity for Photocatalysis -- Abstract -- 1. Introduction -- 2. Synthesis Methods -- 2.1. Wet Chemical Methods -- 2.1.1. Co-Precipitation Method -- 2.1.2. Sol-Gel Method -- Advantages -- Applications -- 2.1.3. Hydrothermal Method -- Advantages -- 2.2. Chemical Vapour Deposition Technique -- Various Types -- Applications -- 2.3. Electrodeposition Techniques -- Advantages -- 2.4. Microwave Synthesis -- Advantages of the Microwave Method -- Conclusion -- References -- Chapter 8 -- Effective Removal of "Non-Biodegradable" Pollutants from Contaminated Water -- Abstract -- 1. Introduction. 2. Techniques to Remove Non-Biodegradable Pollutants from Waste Water -- 3. Nanoadsorption -- 3.1. Carbon-Based Nanoadsorbents -- 3.1.1. Removal of Natural or Organic Contaminants -- 3.1.2. Removal of Heavy Metal Ions -- 3.2. Metal-Based Nanoadsorbents -- 4. Membrane and Membrane Process -- 4.1. Nanofiber Membranes -- 4.2. Nanocomposite Membranes -- 5. Use of Disinfectants -- 5.1. Silver Nanoparticles -- 5.2. TiO2 Nanoparticles -- 6. Desalination -- 7. Photocatalytic Removal of Pollutants (Dyes/Metals) from Waste Water -- 7.1. What Is a Photocatalyst? -- 7.2. Types of Photocatalysts and Their Characteristics -- 7.2.1. Photocatalytic Reactors -- 7.2.2. Slurry Reactors -- 7.2.3. Immobilized TiO2 Reactors -- Conclusion -- References -- Chapter 9 -- Metal Oxides Based Photocatalyst for the Degradation of Organic Pollutants in Water -- Abstract -- 1. Introduction -- 2. Historical Background of Photocatalysis -- 3. Principle behind Photocatalysis -- 4. Photocatalytic Degradation of Organic Pollutants -- 4.1. Iron Oxide Materials -- 4.2. Titanium Oxide Materials -- 4.3. Copper Oxide Materials -- 4.4. Nickle Oxide Materials -- 4.5. Zinc Oxide Materials -- 4.6. Cobalt Oxide Materials -- Conclusion -- Acknowledgments -- References -- Chapter 10 -- Photocatalytic Degradation of Synthetic Dyes Using Nano Metal Oxides -- Abstract -- 1. Introduction -- 2. Harmful Effects of Synthetic Dyes -- 3. Methods of Dye Removal -- 3.1. Nanomaterials for Photocatalytic Degradation of Dyes -- 3.2. Photocatalytic Degradation of Acid Orange 7 Dye Using ZnO and α-Fe2O3 Nanopowders and ZnFe2O4-ZnO Nanocomposite -- 3.3. Discussion on the Better Degradation of Dyes by the ZnFe2O4 -Zno Nanocomposite -- Conclusion -- Acknowledgments -- References -- Chapter 11 -- Photocatalytic Removal of Water Pollutant by Cadmium Sulphide and Zinc Sulphide Semiconductor Nanomaterials -- Abstract. 1. Introduction -- 2. Photocatalytic Degradation Using Nanomaterials -- 2.1. Photocatalytic Degradation Using Cadmium Sulphide Nanoparticles -- 2.1.1. Synthesis of Cadmium Sulphide Nanoparticles -- 2.1.2. Procedure of Photocatalytic Degradation -- 2.1.3. Mechanism of Photocatalytic Reaction -- 2.2. Photocatalytic Degradation Using Zinc Sulphide and Cadmium Sulphide Nanocomposites -- Conclusion -- References -- Chapter 12 -- Reduced Graphene Oxide as Photocatalyst: Nanostructure, Synthesis and Applications -- Abstract -- 1. Introduction -- 2. Structure of Graphene -- 3. Properties of Graphene -- 4. Synthesis of Reduced Graphene Oxide -- 5. Photocatalysis -- 5.1. Graphene Based Photocatalysts -- 5.2. Properties of Graphene Aiding Photocatalysis -- 5.2.1. Structural Properties -- 5.2.2. Zero Band Gap Semiconducting Properties -- 5.2.3. Semiconducting Properties -- Conclusion and Prospects -- References -- Chapter 13 -- Recent Trends in Catalyst Based Water Splitting Technology: Research and Applications -- Abstract -- 1. Introduction -- 2. Water Splitting Technology/Methods -- 2.1. Photocatalysis -- 2.2. Thermal Catalysis (Pyroelectric) -- 2.3. Electro Catalysis (Piezoelectric) -- 2.4. Biological Catalysis -- 3. Designing of Equipment -- 3.1. Photocatalysis -- 3.1.1. Photocathodes for Hydrogen Evolution -- 3.1.2. Photoanodes for Water Splitting -- 3.2. Pyroelectric Water Splitting -- 3.2.1. Pyroelectric Material Selection -- 3.3. Piezoelectric Water Splitting -- 4. Recent Advancements in Water Splitting -- 4.1. Nanoscale Design of Hydrogen Evolution Sites -- Conclusion -- References -- Chapter 14 -- A Brief Overview on Physio-Chemical Aspect of TiO2 and Its Nano-Carbon Composites for Enhanced Photocatalytic Activity -- Abstract -- Introduction -- Physiochemical Aspects of TiO2 Photocatalyst -- Preparation of Visible Active TiO2. Physiochemical Aspects of Carbon Nanotubes (Graphene, CNTs) -- Evolution Of TiO2-Carbon Nanocomposites and Its Application As Photocatalyst -- Application of Gr-TiO2 Composites -- Photocatalytic Water Splitting -- Photodegradation of Pollutants -- CO2 Photo Reduction -- Conclusion -- Acknowledgments -- References -- About the Editors -- Index -- Blank Page. EBL201911 Chemical Physics and Chemistry SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5893815 ebook n 201945 201911 21 PUBLIC https://catalogue.library.cern/legacy/2699310 BOOK MIGRATED 2699298 SzGeCERN 20210421201657.0 9783863597689 electronic version electronic version 9783863597474 print version oai:cds.cern.ch:2699298 cerncds:BOOK EBL 5893016 eng QC595 .R454 2019 537.2446 Rekers, Simon Correction of systematic errors in piezoelectric cutting force measurement Aachen Apprimus Wissenschaftsverlag 2019 164 p ebook Intro -- Vorwort -- Content -- Formula Symbols and Abbreviations -- 1 Introduction -- Einleitung -- 2 State of the Art -- 2.1 Significance of Sensors in Metal Cutting -- 2.2 Mechanics of Metal Cutting -- 2.2.1 Fundamentals of Metal Cutting -- 2.2.2 Cutting Force Modeling -- 2.3 Cutting Force Measurement Technology -- 2.3.1 Fundamentals of Piezoelectric Measuring Systems -- 2.3.2 Piezoelectric Cutting Force Measurement Systems -- 2.3.3 Other Cutting Force Measuring Systems -- 2.4 Correction of Cutting Force Measurement Errors -- 2.4.1 Fundamentals of Errors in Measurements -- 2.4.2 Correction of Errors in Piezoelectric Force Measurements -- 2.5 Conclusion from State of the Art -- 3 Objective and Scientific Approach -- 4 Requirement and Measuring System Analysis -- 4.1 Constructive Requirements -- 4.1.1 Requirements Derived From Environmental Conditions -- 4.1.2 Constructive Requirements and Considerations -- 4.2 A Priori Estimation of the Required Bandwidth -- 4.2.1 Simulation of Cutting Force in Milling Operations -- 4.2.2 Estimation of the Required Bandwidth -- 4.2.3 Parameter Study -- 4.3 Requirements Regarding the Data Acquisition -- 4.4 Conclusion from the Requirement Analysis -- 5 Modeling of Systematic Measuring Errors -- 5.1 System Boundary Definition and Abstraction -- 5.2 Modeling of the Transmission Behavior of the Measuring System -- 5.2.1 Model Structure -- 5.2.2 System Identification -- 5.3 Modeling of Inertial and Gravitational Force Components -- 5.3.1 Model Structure -- 5.3.2 Considerations Towards Required Input Parameters -- 5.4 Conclusion from the Modeling of Systematic Measurement Errors -- 6 Correction of Systematic Measurement Errors -- 6.1 Correction of the Transmission Behavior -- 6.1.1 Kalman Filter Fundamentals -- 6.1.2 Kalman Filter Design -- 6.1.3 Kalman Filter Analysis. 6.2 Correction of the Inertial and Gravitational Force -- 6.2.1 Smoothing and Numerical Differentiation of Position Data -- 6.2.2 Kinematic Transformations -- 6.2.3 Calculation of the Gravitational and Inertial Correction -- 6.3 Conclusion from the Correction of Systematic Errors -- 7 Correction System Implementation and SystemValidation -- 7.1 System Architecture -- 7.2 System Validation -- 7.3 Conclusion from the Correction System Implementation -- 8 Summary -- Zusammenfassung -- 9 Appendix -- 10 References. EBL201911 Other Fields of Physics SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5893016 ebook n 201945 201911 21 PUBLIC https://catalogue.library.cern/legacy/2699298 BOOK MIGRATED 2699242 SzGeCERN 20210421201704.0 9780128180143 9780128182420 0128182423 oai:cds.cern.ch:2699242 cerncds:BOOK SAFARI 9780128182420 eng QA76.54 .R435 2020 681.25 Das, Himansu Real-time data analytics for large scale sensor data San Diego, CA Elsevier Science & Technology 2019 300 p ebook Front Cover -- Real-Time Data Analytics for Large Scale Sensor Data -- Copyright -- Contents -- Contributors -- Preface -- Chapter 1: Internet of Things in healthcare: Smart devices, sensors, and systems related to diseases and health conditions -- 1.1. Introduction -- 1.2. Material and methods -- 1.3. Results -- 1.3.1. Human body system related to diseases -- 1.3.1.1. Overview of human body systems related to diseases -- 1.3.2. Measured body parameters, environmental parameters, and other parameters for each disease with respect to the IoT ... -- 1.3.2.1. Measured body parameters, environmental parameters, and other parameters for each disease with respect to the Io ... -- 1.3.3. Advantages of utilizing IoT-based healthcare devices or systems -- 1.3.4. Challenges of using IoT-driven healthcare systems and devices -- 1.3.5. Identified proposed countermeasures for the challenges of utilizing IoT healthcare devices and systems -- 1.4. Discussion -- 1.5. Conclusion -- References -- Chapter 2: Real-time data analytics in healthcare using the Internet of Things -- 2.1. Introduction -- 2.2. Computing system of IoT technology in healthcare activities -- 2.3. Proposed model and its implementation -- 2.3.1. Sensing module -- 2.3.2. Processing module -- 2.3.3. Interaction module -- 2.3.4. Visualization module -- 2.3.5. ThingSpeak -- 2.4. Working mechanism of device -- 2.5. Uses and discussion of the device -- 2.6. Conclusion -- Acknowledgments -- References -- Chapter 3: Lightweight code self-verification using return-oriented programming in resilient IoT -- 3.1. Introduction -- 3.2. Preliminaries -- 3.2.1. Code tamper-proofing -- 3.2.2. Control-flow integrity -- 3.2.3. Return-oriented programming (ROP) -- 3.2.4. Threat model -- 3.3. Resilient IoT network -- 3.3.1. Resilient server -- 3.3.2. Resilient gateway -- 3.3.3. Resilient IoT node. 3.4. Code tamper-proofing -- 3.4.1. Gadget identification -- 3.4.2. Gadget set selection using GA -- 3.4.3. ROP chain generation -- 3.4.4. Code checksumming -- 3.4.5. Cross-verifying guard framework -- 3.4.6. Code checksumming with ROP -- 3.5. Experimental result -- 3.5.1. Tamper resistance -- 3.5.2. Performance overhead -- 3.5.3. Attack detection -- 3.6. Conclusion -- Acknowledgments -- References -- Chapter 4: Monte-Carlo Simulation models for reliability analysis of low-cost IoT communication networks in smart grid -- 4.1. Introduction -- 4.1.1. Introduction to the research work -- 4.1.2. Motivation for the research and its objectives -- 4.1.3. Literature review -- 4.1.4. Contributions -- 4.1.5. Organization of the chapter -- 4.2. Overview of wireless IoT communication networks for PMUs -- 4.2.1. Wireless communication networks -- 4.2.2. Reliability concepts -- 4.3. Monte-Carlo simulation models -- 4.3.1. MCS model of the repeater subsystem -- 4.3.2. MCS model of the radio subsystem -- 4.3.3. MCS model of the antenna subsystem -- 4.3.4. Second stage of MCS -- 4.4. Optimum PMU placement -- 4.5. Case study -- 4.6. Conclusion and directions for future research -- References -- Chapter 5: Lightweight ciphertext-policy attribute-based encryption scheme for data privacy and security in cloud-assiste ... -- 5.1. Introduction -- 5.2. Related work -- 5.2.1. CP-ABE scheme with threshold gates -- 5.2.2. CP-ABE scheme with AND gates -- 5.2.3. CP-ABE scheme with LSSS -- 5.3. Preliminaries -- 5.3.1. Bilinear maps -- 5.3.2. CP-ABE framework -- 5.3.3. Access structure -- 5.4. System model -- 5.4.1. System architecture -- 5.4.2. Design goals -- 5.4.3. LCP-ABE algorithm definitions -- 5.4.4. Security game -- 5.5. Construction of LCP-ABE -- 5.5.1. Setup (N→PK, MSK) -- 5.5.2. KeyGen (MK, A→USK) -- 5.5.3. Encryption (PK, M, WHT→CT). 5.5.3.1. Access structure (policy→WHT) -- 5.5.3.2. Encrypt (PK, M, WHT→CT) -- 5.5.4. ReKeyGen(δ, MSK→rk) -- 5.5.5. ReEncrypt (CT, rk, δ→CT′) -- 5.5.6. KeyUpdate (USK, rk, δ→USK′) -- 5.5.7. Decrypt (CT, PK, USK→M) -- 5.6. Security analysis -- 5.6.1. Correctness -- 5.6.2. Security strength -- 5.6.2.1. Collusion attack -- 5.6.2.2. CPA security proof -- 5.6.3. Forward Secrecy -- 5.7. Performance analysis -- 5.7.1. Communication overhead -- 5.7.2. Computation overhead -- 5.7.3. Experimental results -- 5.8. Conclusion -- References -- Chapter 6: Soft sensor with shape descriptors for flame quality prediction based on LSTM regression -- 6.1. Introduction -- 6.2. Literature survey -- 6.3. Description of flame shape and burner system -- 6.4. LSTM for flame shape-based combustion quality prediction model -- 6.4.1. Model construction -- 6.4.2. Model training and prediction -- 6.4.3. Model optimization metrics -- 6.5. Objective of the work -- 6.6. Hypothesis of this work -- 6.7. Experimental environment and data preparation -- 6.8. Experimental results and discussion -- 6.9. Conclusion -- References -- Chapter 7: Communication-aware edge-centric knowledge dissemination in edge computing environments -- 7.1. Introduction -- 7.1.1. Problem description -- 7.1.2. Contributions and assumptions -- 7.1.3. Report structure -- 7.2. Literature review -- 7.3. Rationale and fundamentals -- 7.3.1. Rationale -- 7.3.2. Definitions -- 7.4. Methodology -- 7.4.1. Models used with the methodology -- 7.4.2. Algorithm description -- 7.5. Experimental design -- 7.5.1. Network topology -- 7.5.2. Dataset -- 7.5.3. Modeling techniques -- 7.5.4. Experiment: Comparing the models for the proposed methodology -- 7.5.4.1. Experimental set-up -- 7.5.5. Experimental process -- 7.6. Results and evaluation -- 7.6.1. Best model -- 7.6.2. Second-best model -- 7.6.3. The rest of the models. 7.7. Conclusions and future work -- Acknowledgments -- References -- Chapter 8: An effective blockchain-based, decentralized application for smart building system management -- 8.1. Introduction -- 8.2. Background -- 8.2.1. Ethereum -- 8.2.2. Internet of things -- 8.3. Overall design structure -- 8.3.1. Overall workflow -- 8.3.2. Raspberry Pi -- 8.3.3. DHT11 -- 8.3.4. Blynk -- 8.3.5. Ethereum components -- 8.3.6. Put them all together -- 8.4. System implementation -- 8.4.1. Set up the Raspberry Pi -- 8.4.2. Installation of Ethereum -- 8.4.2.1. Genesis JSON file -- 8.4.2.2. Ethereum miner -- 8.4.2.3. Ethereum clients in Raspberry Pi -- 8.4.3. Pair all the nodes in the private blockchain -- 8.4.4. Create and deploy the smart contract RPi_DHT11_2 -- 8.4.5. Connect the Blynk with RPi and DHT11 -- 8.4.6. Build JavaScript applications on RPi to interact with smart contract -- 8.4.7. Run the PoC system -- 8.5. A proof-of-concept case study -- 8.5.1. Testbed setup -- 8.5.2. Performance evaluation -- 8.6. Related work -- 8.6.1. Blockchain-based IoT -- 8.6.2. Blockchain-based smart building systems -- 8.6.3. Blockchain-based smart home systems -- 8.7. Conclusion and future work -- References -- Further reading -- Chapter 9: Privacy and security of Internet of Things devices -- 9.1. Introduction -- 9.1.1. Chapter organization -- 9.2. The need for security -- 9.2.1. IoT device vulnerabilities -- 9.2.2. Recent attacks that exploited IoT security fails -- 9.2.3. Opportunities for security improvement -- 9.3. Creating and maintaining trusted execution environments (TEE) -- 9.3.1. Root of trust -- 9.3.2. Secure boot process -- 9.3.3. Chain of trust authentication -- 9.3.4. Physical unclonable functions-An alternative for key storage -- 9.4. Security by separation -- 9.4.1. Lateral movement -- 9.4.2. Implementing separation -- 9.4.2.1. Spatial separation. 9.4.2.2. Temporal separation -- 9.4.3. Virtualization -- 9.4.3.1. Embedded hypervisors -- 9.4.4. Enabling techniques and technologies for virtualization -- 9.5. Blockchain for trusted communication -- 9.5.1. Definition -- 9.5.2. Consensus mechanisms -- 9.5.3. Smart contracts -- 9.5.4. Blockchain for IoT devices -- 9.6. Context-aware security -- 9.6.1. Context-awareness and IoT -- 9.6.2. Context-aware security mechanisms -- 9.7. Technologies integration in a comprehensive security architecture for IoT devices -- 9.7.1. The target devices for protection -- 9.7.2. The security architecture -- 9.7.3. An application sample -- 9.8. Literature review -- 9.9. Conclusion -- References -- Chapter 10: Software-Defined Networking for the Internet of Things: Securing home networks using SDN -- 10.1. Introduction -- 10.2. Methodology -- 10.2.1. Scalability and consistency -- 10.2.2. Security and privacy -- 10.3. System design -- 10.3.1. Subsidiary HomeBox -- 10.3.2. Gateway HomeBox -- 10.3.3. SDN controller -- 10.3.3.1. Optimal rule replacement manager -- 10.3.4. Security module -- 10.3.4.1. Header extraction -- 10.3.4.2. Bagging ensemble of fuzzy logic -- 10.3.4.3. Bagging ensemble of ID3 -- 10.3.4.4. Deep neural network -- 10.3.5. Implementation -- 10.3.5.1. Tools used -- 10.3.5.2. Connection establishment and network creation -- 10.3.5.3. Dataset description -- 10.3.5.4. Performing attacks -- 10.4. Results -- 10.4.1. Evaluation parameters -- 10.4.2. Evaluation metrics -- 10.4.3. Experimentation results -- 10.4.3.1. Test cases -- 10.4.3.2. Bagging ensemble of ID3 -- 10.4.3.3. Bagging ensemble of fuzzy logic -- 10.4.3.4. Deep neural network -- 10.5. Conclusion -- Appendix 1: Implementation screenshots -- References -- Index -- Back Cover. SAF201912 EBLlink deleted Computing and Computers SzGeCERN BOOK Dey, Nilanjan Emilia Balas, Valentina https://learning.oreilly.com/library/view/-/9780128182420/?ar ebook n 201945 201911 21 PUBLIC https://catalogue.library.cern/legacy/2699242 BOOK MIGRATED 2699202 SzGeCERN 20200503232045.0 9781135145378 electronic version electronic version EBL 5850871 eng TH6057.M87 .T466 2011 025.84 Thomson Cbe, Garry Museum environment 2nd ed. Florence Routledge 1986 320 p Cover -- Half Title -- Title Page -- Copyright Page -- Series Editors' Preface -- Preface to First Edition -- Preface to Second Edition -- Table of Contents -- List of Colour Plates -- Part I Light -- Surface deterioration -- Light and heat energy -- The spectrum -- The basic light sources -- Colours and materials which change -- Damage caused by UV and visible radiation -- UV radiation and how to deal with it -- Measuring UV and visible radiation -- The reciprocity law -- Controlling visible radiation -- Reducing illuminance -- 50 Lux - artificial light -- Diffusion of light -- 200 lux - daylight and artificial light -- Conservation lighting specifications -- Treatment of windows -- Angle at which light falls on exhibits -- Reducing time of exposure -- A suite of exhibition rooms -- Heat -- Control of temperature -- Lighting for professional photography, television and restoration -- Electronic flash -- Colour rendering -- The measurement of colour -- The lighting situation and the process of seeing -- Part I humidity -- The importance of humidity -- Measuring the humidity in the air -- The wet-and-dry-bulb hygrometer -- Electronic hygrometers -- Non-mechanical hygrometers -- Understanding the hygrometric chart -- Response of museum material to RH -- Best RH for moisture-containing absorbent materials -- Climate inside and outside the museum -- Condensation and the dew point -- Humidity control -- RH control in a room -- The humidistat -- Humidifying equipment -- Dehumidifying equipment -- Room RH control: maintenance and air circulation -- Packaged air-conditioning units -- Ducted air conditioning -- RH control in a closed case - buffers -- Silica gel in packing cases -- Exhibition cases -- The buffered case: towards a practical solution -- RH control in a closed case - use of salts -- Mechanical RH stabilisation in cases. Future development of exhibition case stabilisation -- RH is often a matter of compromise -- Historic buildings closed in winter and churches -- Improvisation and RH control -- Humidity control in archaeology -- Part I Air Pollution -- The problem -- Particulates -- Particulate concentrations today -- New concrete buildings -- Removal of particulates -- Electrostatic precipitators (electro-filters) -- Gaseous pollution -- Sulphur dioxide (SO) -- Damage caused by sulphur dioxide -- Glass and sulphur dioxide -- Effects of sulphur dioxide on lichens and mosses -- Ozone -- Effects of ozone -- Nitrogen oxides -- Effects of nitrogen dioxide -- Levels of ozone and nitrogen dioxide likely to be encountered -- Chlorides -- Pollution through storage conditions -- Removal of gaseous pollutants -- Fire extinguishers -- Sound and vibration -- Part II Light -- Spectral curves -- Sun and sky -- Lamps and control equipment -- Measuring UV -- Luminous efficiency and the light meter -- Some basic light units -- Visual performance -- Luminance and subjective brightness -- The Blue Wool standards -- Damage versus wavelength -- Heat radiated from light sources -- Activation energy -- The primary photochemical reaction -- Placing a colour on the CIE Chromaticity Chart -- The colour rendering calculation -- Colour rendering and the black body convention -- Choosing a fluorescent lamp -- Dimming -- Part II Humidity -- The standard hygrometric (psychrometric) chart -- The classical air-conditioning operation -- A museum air-conditioning system -- Control -- Heating and cooling loads -- Sensors -- External design conditions -- Dimensional changes caused by RH variation -- Outdoor climate and response of objects indoors -- Does constant RH keep dimensions unchanged at all temperatures? -- Effect of people on RH and temperature -- Materials useful as buffers. Penetration of oxygen and water vapour through plastic films -- Part II Air pollution -- Plotting the size distribution of particulates -- Choice of particulate filter -- Efficiency of activated carbon filters -- Room air cleaners -- Measuring concentrations of pollutants in museums -- The fate of sulphur dioxide in the atmosphere -- The formation of ozone -- Computers in environment control -- Data logging -- Future trends in environmental control -- Appendix: Summary of specifications -- References -- Index. 9781138132030 print version oai:cds.cern.ch:2699202 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5850871 ebook ebook EBL201911 Information Transfer and Management SzGeCERN BOOK n 201945 21 PUBLIC BOOK DELETED 2699201 SzGeCERN 20200503232045.0 9781134201228 electronic version electronic version EBL 5850760 eng QA76.59 .T454 2005 004.6 Karimi, Hassan A Telegeoinformatics location-based computing and services Boca Raton, FL CRC Press 2004 336 p Book Cover -- Title -- Copyright -- Contents -- Preface -- Part One: Theories and Technologies -- CHAPTER ONE Telegeoinformatics: Current Trends and Future Direction -- 1.1 INTRODUCTION -- 1.2 ARCHITECTURE -- 1.3 INTERNET-BASED GIS -- 1.4 SPATIAL DATABASES -- 1.5 INTELLIGENT QUERY ANALYZER (IQA) -- 1.6 PREDICTIVE COMPUTING -- 1.7 ADAPTATION -- 1.8 FINAL REMARKS -- REFERENCES -- CHAPTER TWO Remote Sensing -- 2.1 INTRODUCTORY CONCEPTS -- 2.1.1 What is Remote Sensing? -- 2.1.2 The Evolution of Remote Sensing -- 2.1.3 Electromagnetic Radiation Principles in Remote Sensing -- 2.2 REMOTE SENSING SYSTEMS -- 2.3 IMAGING CHARACTERISTICS OF REMOTE SENSING SYSTEMS -- 2.3.1 Spatial Resolution -- 2.3.2 Spectral Resolution -- 2.3.3 Radiometric Resolution -- 2.3.4 Temporal Resolution -- 2.4 ACTIVE MICROWAVE REMOTE SENSING -- 2.4.1 What is Radar and IFSAR? -- 2.4.2 Introduction to SAR -- 2.4.3 Interferometric Synthetic Aperture Radar (IFSAR) -- 2.4.4 LIDAR -- 2.5 EXTRACTION OF THEMATIC INFORMATION FROM REMOTELY SENSED IMAGERY -- 2.5.1 Visual Image Interpretation -- 2.5.2 Digital Image Classification -- 2.5.3 Image Classification Approaches -- 2.5.3.1 Supervised Classification -- 2.5.3.2 Unsupervised Classification -- 2.5.3.3 Hybrid Classification -- 2.5.4 Accuracy Assessment -- 2.5.5 Change Detection -- 2.6 EXTRACTION OF METRIC INFORMATION FROM REMOTELY SENSED IMAGERY -- 2.6.1 Fundamentals of Photogrammetry -- 2.6.2 Photogrammetric Processing of Multiple Photographs -- 2.6.3 Softcopy Photogrammetry -- 2.6.3.1 Softcopy and Analytical Photogrammetry: a Comparison -- 2.6.3.2 Image Sources -- 2.6.3.3 Measurement System σ2 -- 2.6.3.4 Interior Orientation Comparison -- 2.6.3.5 Relative Orientation -- 2.6.3.6 Absolute Orientation -- 2.6.3.7 Exterior Orientation -- 2.6.3.8 Restitution -- 2.6.3.9 Orthophoto Generation -- 2.6.4 Direct Georeferencing. 2.6.5 Photogrammetric Processing of Satellite Imagery -- 2.7 REMOTE SENSING IN TELEGEOINFORMATICS -- 2.7.1 Imaging in Telegeoinformatics -- 2.7.2 Mobile Mapping Technology and Telegeoinformatics -- REFERENCES -- CHAPTER THREE Positioning and Tracking Approaches and Technologies -- 3.1 INTRODUCTION -- 3.2 GLOBAL POSITIONING SYSTEM -- 3.2.1 Definitions and System Components -- 3.2.2 GPS Signal Structure -- 3.2.3 GPS Observables and the Error Sources -- 3.2.3.1 Systematic Errors -- 3.2.3.1.1 Errors Due to Propagation Media -- 3.2.3.1.2 Selective Availability (SA) -- 3.2.3.2 Mathematical Models of Pseudorange and Carrier Phase -- 3.2.4 Positioning with GPS -- 3.2.4.1 Point vs. Relative Positioning -- 3.2.4.1.1 Point (Absolute) Positioning -- 3.2.4.1.2 Relative Positioning -- 3.2.4.1.3 DGPS Services -- 3.2.4.2 How Accurate is GPS? -- 3.2.5 GPS Instrumentation -- 3.2.6 GPS Modernization and Other Satellite Systems -- 3.3 POSITIONING METHODS BASED ON CELLULAR NETWORKS -- 3.3.1 Terminal-Centric Positioning Methods -- 3.3.2 Network-Centric and Hybrid Positioning Methods -- 3.3.3 GSM and UMTS Ranging Accuracy -- 3.4 OTHER POSITIONING AND TRACKING TECHNIQUES: AN OVERVIEW -- 3.4.1 Inertial and Dead Reckoning Systems -- 3.4.1.1 What Are the Errors in Inertial Navigation? -- 3.4.2 Digital Compass -- 3.4.3 Additional Location Tracking Systems -- 3.4.3.1 Acoustic (Ultrasonic) Tracking -- 3.4.3.2 Magnetic Tracking -- 3.4.3.3 Optical Tracking -- 3.4.3.4 Pseudolite Tracking -- 3.5 HYBRID SYSTEMS -- 3.6 SUMMARY -- REFERENCES -- CHAPTER FOUR Wireless Communications -- 4.1 INTRODUCTION -- 4.2 OVERVIEW OF WIRELESS SYSTEMS -- 4.2.1 Classification of Wireless Networks -- 4.2.2 Wireless Network Architectures -- 4.2.2.1 Example of a Complex Architecture: GSM -- 4.2.2.2 Example of a Simple Architecture: IEEE 802.11 -- 4.2.2.3 Example of an Ad Hoc Topology: Bluetooth. 4.2.3 Issues and Challenges in Wireless Networks -- 4.3 RADIO PROPAGATION AND PHYSICAL LAYER ISSUES -- 4.3.1 Characteristics of the Wireless Medium -- 4.3.1.1 Large-Scale Fading -- 4.3.1.2 Small-Scale Fading -- 4.3.1.3 Telegeoinformatics and Radio Propagation -- 4.3.2 Modulation and Coding for Wireless Systems -- 4.4 MEDIUM ACCESS IN WIRELESS NETWORKS -- 4.4.1 Medium Access Protocols for Wireless Voice Networks -- 4.4.2 Medium Access Protocols for Wireless Data Networks -- 4.4.2.1 Random Access Protocols -- 4.4.2.2 Taking Turns Protocols -- 4.4.2.3 Reservation Protocols -- 4.4.2.4 Impact on Telegeoinformatics -- 4.5 NETWORK PLANNING, DESIGN AND DEPLOYMENT -- 4.6 WIRELESS NETWORK OPERATIONS -- 4.6.1 Radio Resources Management -- 4.6.2 Power Management -- 4.6.3 Mobility Management -- 4.6.3.1 Location Management -- 4.6.3.2 Handoff Management -- 4.6.4 Security -- 4.7 CONCLUSIONS AND THE FUTURE -- REFERENCES -- Part Two: Integrated Data and Technologies -- CHAPTER FIVE Location-Based Computing -- 5.1 INTRODUCTION -- 5.2 LBC INFRASTRUCTURE -- 5.3 LOCATION-BASED INTEROPERABILITY -- 5.3.1 Open Distributed Processing and LBC -- 5.3.2 Location Interoperability Protocols -- 5.3.2.1 Location Interoperability Forum (LIF) -- 5.3.2.2 Wireless Application Protocol (WAP) Location Framework -- 5.3.3 Location Specification Languages -- 5.3.3.1 Geography Markup Language -- 5.3.3.2 Point of Interest Exchange Language -- 5.4 LOCATION-BASED DATA MANAGEMENT -- 5.5 ADAPTIVE LOCATION-BASED COMPUTING -- 5.5.1 Motivating Example -- 5.5.2 Metadata Management for Adaptive Location-Based Computing -- 5.5.3 Pervasive Catalog Infrastructure -- 5.5.4 Querying Pervasive Catalog -- 5.6 LOCATION-BASED ROUTING AS ADAPTIVE LBC -- 5.7 CONCLUDING REMARKS -- REFERENCES -- CHAPTER SIX Location-Based Services -- 6.1 INTRODUCTION -- 6.2 TYPES OF LOCATION-BASED SERVICES. 6.3 WHAT IS UNIQUE ABOUT LOCATION-BASED SERVICES? -- 6.3.1 Integration With e-Business Solutions -- 6.4 ENABLING TECHNOLOGIES -- 6.4.1 Spatial Data Management -- 6.4.2 Mobile Middleware -- 6.4.3 Open Interface Specifications -- 6.4.4 Network-Based Service Environment -- 6.4.5 Positioning Equipment -- 6.5 MARKET FOR LOCATION-BASED SERVICES -- 6.5.1 Location-Based Service Market Players -- 6.6 IMPORTANCE OF ARCHITECTURE AND STANDARDS -- 6.6.1 Java and Location-Based Services -- 6.7 EXAMPLE LOCATION-BASED SERVICES: J-PHONE J-NAVI (JAPAN) -- 6.8 CONCLUSIONS -- REFERENCES -- CHAPTER SEVEN Wearable Tele-Informatic Systems for Personal Imaging -- 7.1 INTRODUCTION -- 7.2 HUMANISTIC INTELLIGENCE AS A BASIS FOR INTELLIGENT IMAGE PROCESSING -- 7.3 HUMANISTIC INTELLIGENCE -- 7.4 'WEARCOMP' AS A MEANS OF REALIZING HUMANISTIC INTELLIGENCE -- 7.4.1 Basic Principles of WearComp as a Tele-Informatic Device -- 7.4.2 The Six Basic Signal Flow Paths of WearComp -- 7.5 WHERE ON THE BODY SHOULD A VISUAL TELE-INFORMATIC DEVICE BE PLACED? -- 7.6 TELEPOINTER: WEARABLE HANDS-FREE COMPLETELY SELF CONTAINED VISUAL AUGMENTED REALITY WITHOUT HEADWEAR AND WITHOUT ANY INFRASTRUCTURAL RELIANCE -- 7.6.1 No Need for Headwear or Eyewear if Only Augmenting -- 7.6.2 Computer Mediated Collaborative Living (CMCL) -- 7.7 PORTABLE PERSONAL PULSE DOPPLER RADAR VISION SYSTEM -- 7.7.1 Radar Vision: Background, Previous Work -- 7.7.2 Apparatus, Method, and Experiments -- 7.8 WHEN BOTH THE CAMERA AND DISPLAY ARE HEADWORD: PERSONAL IMAGING AND MEDIATED REALITY -- 7.8.1 Some Simple Illustrative Examples -- 7.8.2 Deconfigured Eyes: The Invention of the Reality Mediator -- 7.8.3 Personal Cyborg Logs ("glogs") as a Tool for Photojournalists and Reporters -- 7.9 PERSONAL IMAGING FOR LOCATION-BASED SERVICES -- 7.9.1 VideoOrbits Head Tracker -- 7.10 REALITY WINDOW MANAGER (RWM). 7.10.1 A Simple Example of RWM -- 7.10.2 The Wearable Face Recognizer as an Example of a Reality User Interface -- 7.11 PERSONAL TELEGEOINFORMATICS: BLOCKING SPAM WITH A PHOTONIC FILTER -- 7.12 CONCLUSION -- REFERENCES -- CHAPTER EIGHT Mobile Augmented Reality -- 8.1 INTRODUCTION -- 8.1.1 Definition -- 8.1.2 Historical Overview -- 8.1.3 Mobile AR Systems -- 8.2 MARS: PROMISES, APPLICATIONS, AND CHALLENGES -- 8.2.1 Applications -- 8.2.2 Challenges -- 8.3 COMPONENTS AND REQUIREMENTS -- 8.3.1 Mobile Computing Platforms -- 8.3.2 Displays for Mobile AR -- 8.3.3 Tracking and Registration -- 8.3.4 Environmental Modeling -- 8.3.5 Wearable Input and Interaction Technologies -- 8.3.6 Wireless Communication and Data Storage Technologies -- 8.3.7 Summary: A Top-of-the-line MARS Research Platform -- 8.4 MARS UI CONCEPTS -- 8.4.1 Information Display and Interaction Techniques -- 8.4.2 Properties of MARS UIs -- 8.4.3 UI Management -- 8.5 CONCLUSIONS -- 8.6 ACKNOWLEDGMENTS -- REFERENCES -- Part Three: Applications -- CHAPTER NINE Emergency Response Systems -- 9.1 OVERVIEW OF EMERGENCY RESPONSE SYSTEMS -- 9.1.1 General Aspects -- 9.1.2 Structure of ERSs -- 9.2 STATE-OF-THE-ART ERSS -- 9.2.1 Strong Motion Instrumentation and ERSs for Earthquake Disasters in California -- 9.2.2 Strong Motion Instrumentation and ERSs for Earthquake Disasters in Japan -- 9.2.3 Strong Motion Instrumentation and ERSs in Taiwan -- 9.2.4 Strong Motion Instrumentation and ERSs in Other Countries -- 9.2.5 ERSs for Floods and other Disasters -- 9.2.6 New Method of Damage Reconnaissance -- 9.3 EXAMPLES OF DEVELOPING ERSS FOR EARTHQUAKES AND OTHER DISASTERS -- 9.3.1 Facility Management in Nagoya University -- 9.3.2 Seismic Ground Motion Evaluation -- 9.3.3 Soil Modeling -- 9.3.4 Seismic Damage Estimation -- 9.3.5 Early Seismic Damage Estimation -- 9.3.6 Environmental Vibration Alarm. 9.3.7 "Anshin-System": Intercommunication System for Earthquake Hazard and Disaster Information. Hammad, Amin 9780415369763 print version oai:cds.cern.ch:2699201 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5850760 ebook ebook EBL Mobile geographic information systems EBL Telecommunication systems EBL201911 Computing and Computers SzGeCERN BOOK n 201945 21 PUBLIC BOOK DELETED 2699182 SzGeCERN 20200503232044.0 9780429583421 electronic version electronic version EBL 5847327 eng TJ808.3 .C373 2020 621.042 Capareda, Sergio C Introduction to renewable energy conversions Milton CRC Press 2019 457 p Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- List of Figures -- List of Tables -- Foreword -- Preface -- Acknowledgments -- Author -- 1. Introduction to Renewable Energy -- 1.1. Introduction -- 1.2. Advantages and Disadvantages of the Use of Renewable Energy Resources -- 1.2.1. Advantages -- 1.2.2. Disadvantages -- 1.3. Renewable Energy Resources -- 1.3.1. Solar Energy -- 1.3.2. Wind Energy -- 1.3.3. Biomass Energy -- 1.3.4. Hydro Power -- 1.3.5. Geothermal Energy -- 1.3.6. Salinity Gradient -- 1.3.7. Fuel Cells -- 1.3.8. Tidal Energy -- 1.3.9. Wave Energy -- 1.3.10. Ocean Thermal Energy Conversion Systems -- 1.3.11. Human, Animal, and Piezoelectric Power -- 1.3.12. Cold Fusion and Gravitational Field Energy -- 1.4. Renewable Energy Conversion Efficiencies -- 1.5. Renewable Energy Resources-Why? -- 1.6. Summary and Conclusion -- 1.7. Problems -- 1.7.1. Carbon Dioxide Required to Make Carbohydrates -- 1.7.2. Kinetic Energy of a Mass of Wind -- 1.7.3. Carbon Dioxide Production during Ethanol Fermentation -- 1.7.4. Theoretical and Actual Power from Water Stream -- 1.7.5. Theoretical Thermal Conversion Efficiency of Rankine Cycle -- 1.7.6. Fuel Cell Efficiencies -- 1.7.7. Tidal Power Calculations -- 1.7.8. Solar Water Heater Conversion Efficiency -- 1.7.9. OTEC Energy Conversion -- 1.7.10. Solar PV Conversion Efficiency -- References -- 2. Solar Energy -- 2.1. Introduction -- 2.2. The Solar Constant and Extraterrestrial Solar Radiation -- 2.3. Actual Solar Energy Received on the Earth's Surface -- 2.4. Solar Energy Measuring Instruments -- 2.5. Solar Time -- 2.6. Geometric Nomenclatures for Solar Resource Calculations -- 2.7. Extraterrestrial Solar Radiation on a Horizontal Surface -- 2.8. Available Solar Radiation on a Particular Location -- 2.9. Solar Energy Conversion Devices. 2.9.1. Solar Thermal Conversion Devices -- 2.9.1.1. Solar Refrigerators -- 2.9.1.2. Solar Dryers -- 2.9.1.3. Solar Water Heaters -- 2.9.2. Solar Photovoltaic (PV) Systems -- 2.9.3. Solar Thermal Electric Power Systems -- 2.9.4. Solar Thermal Power Systems with Distributed Collectors -- 2.9.5. Solar Thermal Power Systems with Distributed Collectors and Generators -- 2.9.6. High-Temperature Solar Heat Engines -- 2.10. Solar Collector System Sizing -- 2.11. Economics of Solar Conversion Devices -- 2.12. Summary and Conclusions -- 2.13. Problems -- 2.13.1. Extraterrestrial Solar Radiation -- 2.13.2. Solar Time -- 2.13.3. Solar Declination Angle -- 2.13.4. Angle of Incidence -- 2.13.5. Hour Angle, Time of Sunrise, and Number of Daylight Hours -- 2.13.6. Theoretical Daily Solar Radiation, Ho -- 2.13.7. Theoretical Hourly Solar Radiation -- 2.13.8. Clearness Index to Estimate Beam and Diffuse Radiation -- 2.13.9. Sizing Solar PV Panels -- 2.13.10. Economics of Solar Energy -- References -- 3. Wind Energy -- 3.1. Introduction -- 3.2. Basic Energy and Power Calculation from the Wind -- 3.3. The Worldwide Wind Energy Potential -- 3.4. The Actual Energy and Power from the Wind -- 3.5. Actual Power from the Wind -- 3.6. Windmill Classification -- 3.6.1. Classification according to Speed -- 3.6.1.1. High-Speed Windmills -- 3.6.1.2. Low-Speed Windmills -- 3.6.2. Classification according to Position of Blades -- 3.6.2.1. Upwind Windmills -- 3.6.2.2. Downwind Windmills -- 3.6.3. Classification according to Orientation of Blade Axis -- 3.6.3.1. Vertical Axis Windmills -- 3.6.3.2. Horizontal Axis Windmills -- 3.7. Wind Speed Measuring Instruments -- 3.8. Wind Power and Energy Calculations from Actual Wind Speed Data -- 3.8.1. The Rayleigh Distribution -- 3.8.2. The Weibull Distribution -- 3.9. Wind Design Parameters -- 3.9.1. Cut-In, Cut-Out, and Rated Wind Speed. 3.9.2. General Components of Horizontal Axis Windmills for Power Generation -- 3.9.3. Wind Speed Variations with Height -- 3.9.4. Wind Capacity Factor and Availability -- 3.10. Comparative Cost of Power of Wind Machines -- 3.11. Conclusion -- 3.12. Problems -- 3.12.1. Kinetic Energy from Wind -- 3.12.2. Power from the Wind -- 3.12.3. Power Differential as Wind Speed Is Doubled -- 3.12.4. Actual Power from Windmill -- 3.12.5. Rayleigh Distribution Estimate -- 3.12.6. Estimating Average Wind Speed from Rayleigh Distribution -- 3.12.7. Average Wind Velocity for a Given Site and Hours of Occurrence -- 3.12.8. Estimate Weibull Parameters k and c from Linear Regression Data -- 3.12.9. Wind Speed at Different Elevation -- 3.12.10. Payback Period for Wind Machine -- References -- 4. Biomass Energy -- 4.1. Introduction -- 4.2. Sources of Biomass for Heat, Fuel, and Electrical Power Production -- 4.2.1. Municipal Solid Wastes -- 4.2.2. Municipal Sewage Sludge -- 4.2.3. Animal Manure -- 4.2.4. Ligno-Cellulosic Crop Residues -- 4.3. Biomass Resources That May Have Competing Requirements -- 4.3.1. Oil Crops -- 4.3.2. Sugar and Starchy Crops -- 4.3.3. Fuel Wood -- 4.3.4. Aquatic Biomass -- 4.4. Various Biomass Conversion Processes -- 4.4.1. Physico-Chemical Conversion Processes -- 4.4.1.1. Biodiesel Production -- 4.4.2. Biological Conversion Processes -- 4.4.2.1. Bio-Ethanol Production -- 4.4.2.2. Biogas Production -- 4.4.3. Thermal Conversion Processes -- 4.4.3.1. Pyrolysis -- 4.4.3.2. Gasification -- 4.4.3.3. Eutectic Point of Biomass -- 4.4.3.4. Combustion Processes -- 4.5. Economics of Heat, Fuel, and Electrical Power Production from Biomass -- 4.5.1. Biodiesel Economics -- 4.5.2. Ethanol Economics -- 4.6. Sustainability Issues with Biomass Energy Use -- 4.7. Conclusion -- 4.8. Problems -- 4.8.1. Area Required to Build a Power Plant. 4.8.2. Electrical Power from MSW -- 4.8.3. Feedstock Requirement for a 3 MGY Biodiesel Plant -- 4.8.4. Sugar Needed to Produce Ethanol -- 4.8.5. Biogas Digester Sizing -- 4.8.6. Residence Time for Biomass Conversion in Fluidized Bed Reactors -- 4.8.7. Chemical Formula for Biomass -- 4.8.8. Air-to-Fuel Ratio (AFR) Calculations -- 4.8.9. Eutectic Point of Biomass -- 4.8.10. Area Needed for Wood Power -- References -- 5. Hydro Power -- 5.1. Introduction -- 5.2. Power from Water -- 5.3. Inefficiencies in Hydro Power Plants -- 5.4. Basic Components of a Hydro Power Plant -- 5.5. Water Power-Generating Devices -- 5.5.1. Water Wheels and Tub Wheels -- 5.5.2. Turbines -- 5.5.3. Specific Speeds for Turbines -- 5.5.4. Turbine Selection -- 5.6. Hydraulic Ram -- 5.6.1. Construction and Principles of Operation -- 5.6.2. Hydraulic Ram Calculations -- 5.6.3. Design Procedures for Commercial Rife Rams -- 5.6.4. Specifying Pipe Sizes and Discharge Pipe Lengths -- 5.6.5. Starting Operation Procedure for Hydraulic Rams -- 5.6.6. Troubleshooting Hydraulic Rams -- 5.7. Types of Hydro Power Plant -- 5.7.1. On the Basis of Operation -- 5.7.2. Based on Plant Capacity -- 5.7.3. Based on Head -- 5.7.4 Based on Hydraulic Features -- 5.7.4.1. Conventional -- 5.7.4.2. Pumped Storage Systems -- 5.7.5. Based on Construction Features -- 5.8. Environmental and Economic Issues -- 5.9. Conclusions -- 5.10. Problems -- 5.10.1. Theoretical Power from Water -- 5.10.2. Actual Efficiencies of Micro Hydro Units -- 5.10.3. Hydro Power Plant Calculations -- 5.10.4. Pump Specific Speed -- 5.10.5. Volumetric Efficiency of Hydraulic Rams -- 5.10.6. Energy Efficiency of Hydraulic Rams -- 5.10.7. Specifying Drive Pipe Size and Lengths -- 5.10.8. Specifying Drive Pipe Size Using Rife Ram -- 5.10.9. Pumped Storage Power Production -- 5.10.10. Pumped Storage Power Production Water Use -- References. 6. Geothermal Energy -- 6.1. Introduction -- 6.2. Temperature Profile in Earth's Core -- 6.3. Geothermal Resource Systems -- 6.3.1. Liquid-Dominated Systems -- 6.3.2. Vapor-Dominated Systems -- 6.3.3. Hot Dry Rock Systems -- 6.3.4. Geo-Pressure Systems -- 6.4. Geothermal Resource Potential in Texas -- 6.5. Geothermal Power Cycles -- 6.5.1. Analysis of the Thermodynamic Cycle (Exell, 1983) -- 6.5.2. Energy Flows or First Law Analysis -- 6.6. Geothermal Heat Pumps -- 6.6.1. Geothermal Heat Pump (Opposite of Refrigeration) -- 6.7. Geothermal Power Cycles -- 6.7.1. Non-Condensing Cycle -- 6.7.2. Straight Condensing Cycle -- 6.7.3. Indirect Condensing Cycle -- 6.7.4. Single Flash System -- 6.7.5. Double Flash System -- 6.7.6. Binary Fluid Cycle -- 6.8. Geothermal Power Applications -- 6.9. Levelized Cost of Selected Renewable Technologies -- 6.10. Environmental Effects of Geothermal Power Systems -- 6.11. Conclusion -- 6.12. Problems -- 6.12.1. Well Selection -- 6.12.2. The Ideal Rankine Cycle -- 6.12.3. Efficiency of Ideal Geothermal Cycle -- 6.12.4. Changes in Efficiency and Power Output -- 6.12.5. COP of Ideal Refrigeration Cycle -- 6.12.6. Ideal Vapor Refrigeration System -- 6.12.7. Power Consumed in Heat Pump -- 6.12.8. Cost Comparison -- 6.12.9. Number of Households Served by Geothermal Facility -- 6.12.10. ROI of Geothermal Heating and Cooling -- References -- 7. Salinity Gradient -- 7.1. Introduction -- 7.2. The Solar Pond -- 7.2.1. Advantages -- 7.2.2. Disadvantages -- 7.3. Energy of Sea Water for Desalination -- 7.4. Pressure-Retarded Osmosis (PRO) -- 7.4.1. PRO Standalone Power Plants (Statkraft, Netherlands, 2006) -- 7.4.2. Statkraft Prototype (Norway, Co.) -- 7.5. Reverse Electro-Dialysis (RED) -- 7.6. Specific Applications or Locations -- 7.7. Limitations and Factors Affecting Performance and Feasibility -- 7.8. Performance and Costs. 7.9. Potential Energy and Barriers to Large-Scale Development. 9780367188504 print version oai:cds.cern.ch:2699182 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5847327 ebook ebook EBL Renewable energy sources-Mathematics EBL Renewable energy sources-Problems, exercises, etc EBL Force and energy-Mathematical models EBL201911 Engineering SzGeCERN BOOK n 201945 201911 21 PUBLIC BOOK DELETED 2699180 SzGeCERN 20210421201709.0 9780128171363 electronic version electronic version 9780128171356 print version oai:cds.cern.ch:2699180 cerncds:BOOK EBL 5846593 eng TJ828 .Z436 2019 621.312136 Zhao, Dan Wind turbines and aerodynamics energy harvesters San Diego, CA Elsevier Science & Technology 2019 532 p ebook Front Cover -- Wind Turbines and Aerodynamics Energy Harvesters -- Copyright -- Contents -- Chapter 1: General introduction to wind turbines -- 1.1. Wind: A renewable energy sources -- 1.2. Wind turbine basic concepts and classifications -- 1.3. Aerodynamics and turbulence -- 1.4. Betz limit -- 1.5. Concluding remarks -- References -- Further reading -- Chapter 2: 3D-printed miniature Savonious wind harvester -- 2.1. Foregoing studies on Savonious wind turbines -- 2.2. Design and manufacturing of miniature wind harvesters -- 2.2.1. Model A -- 2.2.2. Model B -- 2.2.3. Model C -- 2.2.4. Model D -- 2.2.5. Model E -- 2.2.6. Model F -- 2.2.7. Model G -- 2.2.8. Model H -- 2.2.9. Model I -- 2.2.10. Model J -- 2.2.11. Air-driven energy harvester supports -- 2.2.12. Electromagnetic convertor -- 2.2.13. Step height platform -- 2.3. Wind tunnel tests and measurements -- 2.4. CFD study of the miniature wind harvesters -- 2.5. Static and dynamic performances of the miniature wind harvesters -- 2.6. Optimum design of the miniature wind harvesters -- 2.6.1. Effect of the blade number N -- 2.6.2. Effect of the energy harvester geometric size (SR) -- 2.6.3. Effect of the energy harvester aspect ratio (AR) -- 2.6.4. Effect of types of energy harvester central part -- 2.6.5. Effect of energy harvester end plates -- 2.6.6. Effect of the energy harvester orientation -- 2.6.7. Combined effect of the harvester orientation with other critical parameter -- Combined effect of energy harvester orientation and number of blades (N) -- Combined effect of energy harvester orientation and geometric size (SR) -- Combined effect of energy harvester orientation and aspect ratio (AR) -- Combined effect of the harvester orientation and central part -- Combined effect of the harvester orientation and end plates -- 2.6.8. Effect of the blade shape profiles -- 2.7. Concluding remarks. Appendix A: Energy harvester model design -- Harvester A -- Harvester B -- Harvester C -- Harvester D -- Harvester E -- Harvester F -- Harvester G -- Harvester H -- Harvester I -- Harvester J -- Appendix B: Wind tunnel results for preliminary parametric study -- Harvester A -- Harvester B -- Harvester C -- Harvester D -- Harvester E -- Harvester F -- Harvester G -- Harvester H -- Harvester I -- Harvester J -- Appendix C: Wind tunnel results for harvester orientation case study -- Harvester B (`anti-clockwise orientation) -- Harvester C (`anti-clockwise orientation) -- Harvester D (`anti-clockwise orientation) -- Harvester E (`anti-clockwise orientation) -- Harvester F (`anti-clockwise orientation) -- Harvester G (`anti-clockwise orientation) -- Harvester H (`anti-clockwise orientation) -- Harvester I (`anti-clockwise orientation) -- References -- Further reading -- Chapter 3: Savious wind turbine above a bluff-body -- 3.1. Overview of methodology -- 3.2. Wind tunnel and tow tests -- 3.2.1. Wind tunnel tests -- 3.3. CFD modelling and analysis -- 3.3.1. Simulation of driving test conditions -- 3.3.2. Parametric simulation results -- 3.4. Empirical models -- 3.5. Concluding remarks -- 3.5.1. Challenges and future researches -- A. Appendix D -- A.1. Simulation settings for determining step height in wind tunnel. (Chapter 3) -- A.2. Simulation settings for determining optimum turbine position of driving test rig (Section 3.2) -- A.3. Simulation settings for validating with Sahas experiment (Section 3.3) -- A.4. Simulation settings for validating with driving test -- A.5. Simulation settings for parametric study of a generic turbine above a bluff body (Section 3.5) -- References -- Further reading -- Chapter 4: Bladeless wind power harvester and aeroelastic harvester -- 4.1. Bladeless electromagnetic energy harvester driven by air- and water-flow. 4.1.1. Measurement configurations and design parameters -- 4.1.2. Experimental results -- 4.1.3. Summary -- 4.2. Aero-elastic-piezo-electric energy harvester -- 4.2.1. Measurement of configurations and design parameters -- 4.2.2. Experimental results -- 4.2.3. Concluding remarks -- References -- Chapter 5: Offshore wind turbine aerodynamics modelling and measurements -- 5.1. Historical perspective -- 5.2. Environmental and energy issues and concerns -- 5.2.1. Visual and psychosomatic impact -- 5.2.2. Grid connectivity -- 5.2.3. Influence on energy security -- 5.2.4. Influence on electricity price -- 5.2.5. Environmental impact -- 5.3. Load analysis and design tools for off-shore wind turbines -- 5.4. Prediction of aerodynamic loads -- 5.4.1. Blade element momentum (BEM) method -- 5.4.2. Acceleration potential method -- 5.4.3. Computational fluid dynamics (CFD) methods -- 5.5. Prediction of hydrodynamic loads -- 5.5.1. Morison equation -- 5.5.2. Potential flow approach -- 5.6. Prediction of mooring loads -- 5.7. Experimental investigations -- 5.8. Concluding remarks -- References -- Further reading -- Chapter 6: Analysis codes for floating offshore wind turbines -- 6.1. BHawC -- 6.2. Bladed -- 6.3. FAST -- 6.4. FLEX5 -- 6.5. HAWC2 -- 6.6. PHATAS -- 6.7. Other simulation codes/approaches -- 6.8. Future researches on dynamic stall modelling and offshore wind turbine dynamics -- 6.8.1. Dynamic stall modelling for wind turbine applications -- 6.8.2. Offshore wind turbine dynamics -- 6.8.3. Future analysis software for offshore wind turbines -- References -- Further reading -- Chapter 7: Aerodynamics of horizontal axis wind turbines and wind farms -- 7.1. Introduction -- 7.2. Momentum theory -- 7.3. Turbine modelling -- 7.3.1. Blade element momentum (BEM) modelling -- 7.3.2. Vortex methods -- 7.4. Computational flow modelling -- 7.4.1. Actuator models. 7.4.2. Actuator disc methods -- 7.4.3. Actuator line models -- 7.4.4. Actuator sector model -- 7.5. Wind modelling -- 7.5.1. Standard wind conditions -- 7.5.2. Extreme wind conditions -- 7.6. Wind farm aerodynamics -- 7.7. Summary -- Acknowledgements -- References -- Further reading -- Chapter 8: Aeroacoustics of wind turbines -- 8.1. Introduction -- 8.2. Noise levels -- 8.3. HAWT noise sources -- 8.4. Governing equations -- 8.5. Propagation models -- 8.5.1. Lighthill's acoustic analogy -- 8.5.2. Ffowcs-Williams &amp -- Hawkings analogy -- 8.5.3. Parabolic equation models -- 8.6. Empirical prediction methods -- 8.7. Computational flow fields -- 8.7.1. Eddy simulation -- 8.7.2. RANS models -- 8.7.3. Acoustic splitting technique -- 8.7.4. Domain splitting method -- 8.8. Wind farm acoustics -- 8.9. Summary -- Acknowledgements -- References -- Further reading -- Chapter 9: Economics, challenges and potential applications of off-shore wind turbines -- 9.1. Potential application for knocking down hurricanes -- 9.2. Economics and challenges -- 9.2.1. Economics -- 9.2.2. Technical challenges -- 9.3. Wind hybrid systems -- 9.4. Wind power influence on global climate -- References -- Further reading -- Index -- Back Cover. EBL201911 Engineering SzGeCERN BOOK Han, Nuomin Goh, Ernest S C Cater, John Edward Reinecke, Arne https://cds.cern.ch/auth.py?r=EBLIB_P_5846593 ebook n 201945 201911 21 PUBLIC https://catalogue.library.cern/legacy/2699180 BOOK MIGRATED 2699176 SzGeCERN 20201117212510.0 9781788018548 electronic version electronic version EBL 5845537 eng R857.M3 .A585 2019 610.28 Khan, Wahid Antimicrobial materials for biomedical applications Cambridge Royal Society of Chemistry 2019 547 p Issn Cover -- Preface -- Contents -- Chapter 1 Antimicrobial Materials-An Overview -- 1.1 Introduction -- 1.2 Antimicrobial Materials -- 1.2.1 Antimicrobial Polymers -- 1.2.2 Antimicrobial Nanomaterials -- 1.2.3 Antimicrobial Plastics -- 1.2.4 Antimicrobial Ceramics -- 1.3 Ideal Features of Antimicrobial Materials -- 1.4 Factors Affecting Antimicrobial Activity -- 1.4.1 Effect of Molecular Weight -- 1.4.2 Effect of Counter Ions -- 1.4.3 Charge Density -- 1.4.4 Effect of Spacer Length and Alkyl Chain Length -- 1.4.5 pH Effect -- 1.4.6 Hydrophilicity -- 1.5 Methods to Evaluate Antimicrobial Properties -- 1.6 Clinical Trials -- 1.7 Conclusion and Future Developments -- Abbreviations -- References -- Chapter 2 Introduction to Microbes and Infection in the Modern World -- 2.1 Introduction -- 2.1.1 The Many Facets of Microbial Life -- 2.1.2 Bacteria -- 2.1.3 Archaea -- 2.1.4 Protists -- 2.1.5 Viruses and Prions -- 2.1.6 Fungi -- 2.2 Not All Microbes Are Bad -- 2.2.1 Microbes Are Utilized in Many Commercial Applications -- 2.2.2 Microbial Uses in Medicine -- 2.3 Evolution of Microbes with Humans -- 2.4 Biocontrol and the Importance of Commensal Microbes -- 2.5 Increases in Emerging Disease -- 2.6 Identified Medical Threats and Treatments in the Environment -- 2.6.1 Influences of Environment and Ecological Destruction on Compromised Healthcare -- 2.6.2 Environmental Influences on Improved Health and Healthcare -- 2.7 Increasing Burdens on Healthcare: PopulationExpansion, Urbanization, and Increasing Age of the General Human Populace -- 2.8 Approaching Challenges and Perceived Threats -- 2.8.1 Increased Disease Emergence Due to Modern Technology and Human Behavior -- 2.8.2 Resistance in Patient Care Facilities -- 2.9 Conclusion -- Abbreviations -- References -- Chapter 3 Controlled Release of Antimicrobial Small Molecules -- 3.1 Introduction. 3.1.1 Nanoparticles -- 3.1.2 Nanofibers -- 3.1.3 Dendrimers -- 3.1.4 Liposomes -- 3.1.5 Nanotubes -- 3.1.6 Films -- 3.2 Nanoparticles -- 3.2.1 Design Characteristics of Nanoparticles -- 3.2.2 Examples for Specific Nanoparticle-based Systems -- 3.3 Nanofibers -- 3.3.1 Methods of Preparation -- 3.3.2 Antibacterial Activity -- 3.3.3 Drug-release Kinetics of Antibacterial Nanofibers -- 3.4 Dendrimers -- 3.4.1 Characteristic Features -- 3.4.2 Synthesis of Dendrimers -- 3.4.3 Main Types of Antibacterial Dendrimers -- 3.5 Liposomes -- 3.6 Nanotubes -- 3.7 Films -- 3.7.1 Advantages of Drug- eluting Films -- 3.7.2 Preparation and Characterization of Antimicrobial Films -- 3.7.3 Examples of Antibacterial Films -- 3.8 Novel Concepts in Antibiotic- loaded Bioresorbable Films -- 3.8.1 Dense Structured Synthetic Films with Controlled Drug Location/Dispersion -- 3.8.2 Porous Synthetic Film Structures -- 3.8.3 Hybrid Synthetic-natural Films for Wound Healing Applications -- 3.8.4 Soy Protein Films -- References -- Chapter 4 Biomimetic Antimicrobial Polymers -- 4.1 Introduction -- 4.2 Models of Antimicrobial Action -- 4.3 Antimicrobial Polymers with Flexible Backbones -- 4.4 Conclusion -- References -- Chapter 5 Synthetic Cationic Water-soluble Antimicrobial Polymers: An Alternative to Conventional Small-molecule Antibiotics -- 5.1 Introduction -- 5.2 Biocidal Polymers -- 5.2.1 Polyhexanide -- 5.2.2 Quaternary Ammonium Functionalized Polymers -- 5.2.3 Quaternary Phosphonium Functionalized Polymers -- 5.3 Synthetic Mimics of Antimicrobial Peptides -- 5.3.1 Polyamides -- 5.3.2 Polyurethanes -- 5.3.3 Chain Growth Polymers -- 5.3.4 Other Polymers -- 5.4 Conclusion -- References -- Chapter 6 Focal Drug Delivery for Management of Oral Infections -- 6.1 Introduction -- 6.2 Biofilms and Oral Infections -- 6.2.1 Formation and Characteristics of Oral Biofilms. 6.2.2 Biofilms and Oral Disease -- 6.2.3 The Challenge of Controlling Oral Biofilm -- 6.3 Focal Delivery Systems Against Periodontal and Peri-implant Infection -- 6.3.1 Traditional Periodontal and Peri-implant Therapy -- 6.3.2 Focal Controlled Agents in Periodontitis -- 6.3.3 Focal Controlled Agents in Peri-implantitits -- 6.4 Focal Delivery Systems Against Endodontic Infection -- 6.4.1 Canal Irrigation -- 6.4.2 Intracanal Medication -- 6.5 Focal Drug Agents Against Caries Lesions -- 6.5.1 Fluoride -- 6.5.2 Chlorhexidine -- 6.5.3 Triclosan -- 6.5.4 Calcium Phosphate -- 6.6 Conclusions -- References -- Chapter 7 Photodynamic Antimicrobial Polymers -- 7.1 Introduction -- 7.2 Photodynamic Antimicrobial Polymers-Important Factors for Optimal Antimicrobial Efficacy -- 7.2.1 Photosensitiser Class, Structure and Concentration -- 7.2.2 Light Source -- 7.2.3 Application Environment -- 7.3 Biomedical Device Applications -- 7.3.1 Catheters -- 7.3.2 Endotracheal Tubes -- 7.3.3 Intraocular Lenses -- 7.3.4 Oral and Dental Applications -- 7.3.5 Wound Dressings and Superficial Infection Management -- 7.3.6 Gastrointestinal Infections -- 7.4 Photoactive Antimicrobial Surfaces for Infection Control in Clinical Environments -- 7.4.1 Polymer Coatings and Films -- 7.4.2 Antimicrobial Textiles -- 7.4.3 Antimicrobial Polymeric Paints -- 7.5 Conclusions -- References -- Chapter 8 Antimicrobial Biomaterials in Ophthalmology -- 8.1 Introduction -- 8.2 Antiadhesive Biomaterials -- 8.3 Antimicrobial Biomaterials -- 8.3.1 Metallic Antimicrobials -- 8.3.2 Selenium -- 8.3.3 Antibiotics -- 8.3.4 Antimicrobial Peptides -- 8.3.5 Quorum-sensing Inhibitors-Fimbrolides and Dihydropyrrolones -- 8.3.6 Other Antimicrobial Strategies -- 8.4 Conclusion -- References -- Chapter 9 Metal-based Antimicrobials -- 9.1 Background and History of Metal-based Antimicrobials. 9.1.1 Antibiotic Resistance Era -- 9.1.2 Metals and Their Biological Importance -- 9.1.3 A Brief History of Metal-based Antimicrobials -- 9.2 Mechanisms of Metal-based Antimicrobial (MBA) Toxicity to Bacteria -- 9.2.1 Metal Binding Affinity and Toxicity -- 9.2.2 Reactive Oxygen Species and Oxidative Stress -- 9.2.3 Proteins -- 9.2.4 Cell Membranes -- 9.2.5 Nutrient Uptake -- 9.2.6 DNA Damage and Mutation -- 9.2.7 Metal Nanoparticles -- 9.3 Current Applications of Metal- based Antimicrobials -- 9.4 Consequences of Using Metal- based Antimicrobials -- 9.4.1 Bacterial Resistance -- 9.4.2 Responsible Use ofMetal-based Antimicrobials -- Acknowledgements -- References -- Chapter 10 Antimicrobial Quaternary Ammonium Polymers for Biomedical Applications -- 10.1 Introduction -- 10.1.1 Biomedical Implants and the Problem of Infection -- 10.1.2 Quaternary Ammonium Compounds- Mechanism of Action -- 10.2 Antimicrobial Surface Strategies -- 10.2.1 Non-releasing Antimicrobial Polymeric Surfaces -- 10.2.2 Releasing Antimicrobial Polymeric Surfaces -- 10.3 Antimicrobial Polymers Synthesis and Modifications -- 10.3.1 Quaternary Ammonium-based Polymers -- 10.3.2 Antimicrobial QA-based Natural Polymers -- 10.3.3 Antimicrobial QA-based Biodegradable Polymers -- 10.3.4 Crosslinked Nanoparticles of Antimicrobial QA Polymers -- 10.4 Biomedical Application Summary -- 10.5 Conclusion and Future Perspectives -- Acknowledgements -- References -- Chapter 11 Polymer-Drug Conjugates for Treating Local and Systemic Fungal Infections -- 11.1 Introduction -- 11.2 Discovery of Antifungal Drugs -- 11.3 Polymer-Drug Conjugates -- 11.3.1 Importance of the Polymeric Backbone as Drug Carrier -- 11.3.2 Cell Uptake -- 11.3.3 Choice of Linkers -- 11.4 Natural Polymers -- 11.4.1 Arabinogalactan Conjugates -- 11.4.2 Gum Arabic Conjugates -- 11.4.3 Alginate Conjugates. 11.4.4 Dextran Conjugates -- 11.4.5 Miscellaneous Conjugates -- 11.5 Synthetic Polymers -- 11.6 Conclusions -- References -- Chapter 12 Methods for Sterilization of Biopolymers for Biomedical Applications -- 12.1 Introduction -- 12.2 Sterilization Methods -- 12.2.1 Steam-autoclaving -- 12.2.2 Dry-heat Sterilization -- 12.2.3 Chemical Treatment-Ethylene Oxide -- 12.2.4 Gas Plasma-Hydrogen Peroxide -- 12.2.5 Radiation Process -- 12.2.6 Supercritical Fluid -- 12.3 Sterilization of Biopolymers -- 12.3.1 Other Natural Biopolymers -- 12.4 Conclusion -- References -- Chapter 13 Recent Advances in Antimicrobial Hydrogels -- 13.1 Introduction -- 13.2 Classification of Hydrogels Based on their Fabrication Strategies -- 13.3 Hydrogels with Inherent Antimicrobial Activity -- 13.3.1 Natural Polymeric Hydrogels -- 13.3.2 Synthetic Polymer-based Hydrogels -- 13.3.3 Polypeptide-based Hydrogels -- 13.3.4 Mechanism of Action of Hydrogels Possessing Antimicrobial Activity -- 13.4 Hydrogels Loaded with Biocides -- 13.4.1 Metal Ions and Nanoparticle-loaded Hydrogels -- 13.4.2 Antibiotic- loaded Hydrogel Systems -- 13.4.3 Antimicrobial- agent Loaded Hydrogels -- 13.5 Conclusions -- References -- Chapter 14 Catheters with Antimicrobial Surfaces -- 14.1 Introduction -- 14.1.1 Catheters and Catheterization -- 14.1.2 Infection Problem -- 14.1.3 The Need for Antimicrobial Catheters -- 14.2 Antimicrobial Materials -- 14.2.1 Chlorhexidine -- 14.2.2 Silver -- 14.2.3 Nitric Oxide -- 14.2.4 Antibiotics -- 14.3 Strategies for the Development of Antimicrobial Catheters -- 14.3.1 Release-based Antimicrobial Catheters -- 14.3.2 Contact Killing -- 14.3.3 Bacteria-repelling and Anti-adhesive Surfaces -- 14.4 Clinically Tested Antimicrobial Catheters -- 14.5 Challenges and Future Approaches -- 14.5.1 Antimicrobial Resistance -- 14.5.2 Multi-approach Antimicrobial Catheters. 14.6 Summary, Concluding Remarks and Future Perspectives. This book provides the field with a much-needed fundamental overview of the science, addressing the chemistry of a broad range of biomaterial types, and their applications in the biomedical industry. Doloff, Joshua Zilberman, Meital Vemparala, Satyavani Joy, Abraham Beyth, Nurit McCoy, Colin P Willcox, Mark Duncan Turner, Raymond J Farah, Shady 9781788011884 print version oai:cds.cern.ch:2699176 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5845537 ebook ebook EBL Biomedical materials EBL Drug carriers (Pharmacy) EBL201911 Health Physics and Radiation Effects SzGeCERN BOOK n 201945 201911 21 PUBLIC BOOK DELETED 2699151 SzGeCERN 20210209235447.0 9780829332773 electronic version electronic version oai:cds.cern.ch:2699151 cerncds:BOOK EBL 5729932 eng TJ280.A6 .T457 2018 621.16076 National Learning Corporation High pressure plant tender passbooks study guide Chicago, IL National Learning Corporation 2019 310 p ebook Career examination series Intro -- Title Page -- Copyright -- Description -- How To Take a Test -- Examination Section -- Stationary Fireman C -- Stationary Fireman D -- Stationary Fireman A -- Stationary Fireman B -- Housing Fireman A -- Housing Fireman B -- Stationary Engineer F (Senior) -- Heating A -- Heating B -- Heating C -- Reading Comprehension - Heating Plant -- Heating &amp -- Environmental Control (Notes) -- Glossary of Engineering Terms (Notes). EBL201911 20210129 added 110__ Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5729932 ebook n 201945 201911 21 PUBLIC BOOK DELETED 2699056 SzGeCERN 20200128202340.0 9781921870767 electronic version electronic version EBL 1887413 eng HD62.4 .G384 2012 658.408 Pearse, Guy Greenwash big brands and carbon scams Melbourne Schwartz Publishing 2012 173 p Intro -- Copyright -- GREENWASH -- Contents -- Dedication -- Introduction -- Banks -- Beer -- Big Box Grocery and Retail -- Cars -- Celebrities -- Coffee -- Earth Hour -- Electricity -- Fashion -- Fast Food -- Flights -- Freight -- Home Appliances and Entertainment -- Hotels -- Luxe Punting -- Media -- Online Searching, Shopping, Socialising -- Petrol -- Pets -- Phones, Computers and Office Electronics -- Professional Services -- Real Estate -- Sex -- Soft Drink -- Sports -- Sweet Treats -- Conclusion -- Your Pocket Guide to Greenwashing -- Picture Section -- Acknowledgements. Going green is the new black for big business. But how real is the climate-friendly revolution that's being advertised? Toyota reckons Mother Nature drives a Prius, Ford wants us to "Join the Green Revolution", and McDonald's has painted its famous golden arches green. Facebook has even 'friended' Greenpeace. But are big brands and the celebrities endorsing them really as green as they claim? In Greenwash, in the tradition of Fast Food Nation and No Logo, Guy Pearse looks behind the corporate façade - and what he finds will startle you. Nothing is sacred and no one is safe from scrutiny in this exposé of carbon scams: not the Prius or the Nissan LEAF, not the World Wildlife Fund or Earth Hour, not Oprah or Leonardo DiCaprio. For consumers trying to shop the planet green, Greenwash is a wake-up call. It's also an entertaining and practical book that helps consumers to pick the truly green businesses from the greenwashers and to demand a higher environmental standard from all. 'Guy Pearse's welcome book reveals the difficulty of judging the benefits and real environmental costs of the way we live.' -David Suzuki 'Guy Pearse travels the sewers of misinformation to show us exactly how, from banks to airlines, there's a growth industry in green horseshit. But, after hosing himself off, Pearse also presents us with a far more thoughtful analysis than I've read in other exposés of greenwashing.' -Raj Patel, author of Stuffed and Starved and the New York Times bestseller The Value of Nothing 'Before I read Greenwash I thought I could no longer be shocked by the skulduggery of the marketers. How wrong I was. Read Greenwash to be reminded why advertising is called the dark art and how marketing has become the most destructive force on the planet.' -Clive Hamilton, author of Affluenza and Requiem for a Species '[Greenwash] contains some brilliant exposés of capital scamming the unwary consumer, giving them a green hoodwink while continuing opposite practices elsewhere.' -Adelaide Review 'If you want to know how to pick the true greenies from the fakers, this book is for you.' -Green Lifestyle Guy Pearse is an author and environmental commentator. A former political adviser, lobbyist and speechwriter, he is currently a research fellow at the Global Change Institute at the University of Queensland. 9781863955751 print version oai:cds.cern.ch:2699056 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1887413 ebook ebook EBL201911 Information Transfer and Management SzGeCERN BOOK n 201945 21 PUBLIC BOOK DELETED 2698905 SzGeCERN 20191219215717.0 9781498755085 electronic version electronic version EBL 5883371 eng R858 .M855 2020 610.285 Rafalski, Edward M Healthcare analytics foundations and frontiers Milton CRC Press 2019 121 p Cover -- Title Page -- Copyright Page -- Contents -- Foreword -- Lisr of Contributors -- Introduction -- 1. Managerial epidemiology: Creating care of health ecosystems -- Introduction -- What is epidemiology? -- What is managerial epidemiology? -- What is an ecosystem of care? -- Social media and its application -- Conclusion -- References -- 2. Healthcare and population data: The building blocks -- Background -- Why risk stratification? -- Overview of risk stratification methods -- Risk stratification: Examples -- Rising risk methodology: Follow-up on 38109 familiar faces -- Use of data -- References -- 3. Trend toward connected data architectures in healthcare -- Balancing cost and performance -- Risk management -- Sharing and connecting data -- Current state of databases in healthcare systems -- Introduction of NoSQL databases -- Summary -- References -- 4. Knowledge management for health data analytics -- Rise of the electronic health record -- Data governance and infrastructure issues -- Importance of data governance and infrastructure -- Analytics beyond statistics -- Feature selection -- Data mining -- Advantages -- Potential issues with data mining -- References -- 5. Geospatial analysis of patients with healthcare utilization for type 2 diabetes mellitus (T2DM): A use case approach -- Introduction -- Burden of the disease -- Research question -- Results -- Discussion -- References -- 6. Futuring: A brief overview of methods and tools -- Statistical regression models -- Delphi survey technique -- Environmental scanning: SWOT analysis -- Scenario analysis -- Conclusion -- References -- 7. Conclusion -- References -- Index. Mullner, Ross M 9781498755078 print version oai:cds.cern.ch:2698905 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5883371 ebook ebook EBL201911 Health Physics and Radiation Effects SzGeCERN BOOK n 201945 201911 21 PUBLIC BOOK DELETED 2698873 SzGeCERN 20210421201723.0 9781628254679 electronic version electronic version oai:cds.cern.ch:2698873 cerncds:BOOK EBL 5854268 eng HD69.P75 .G853 2017 658.404 Project Management Institute A guide to the project management body of knowledge (PMBOK guide) sixth edition and agile practice guide (English) 6th ed. Chicago, IL Project Management Institute 2017 976 p ebook Intro -- TABLE OF CONTENTS -- LIST OF TABLES AND FIGURES -- PART 1 - A GUIDE TO THE PROJECT MANAGEMENT BODY OF KNOWLEDGE -- 1. INTRODUCTION -- 1.1 Overview and Purpose of this Guide -- 1.1.1 The Standard for Project Management -- 1.1.2 Common Vocabulary -- 1.1.3 Code of Ethics and Professional Conduct -- 1.2 Foundational Elements -- 1.2.1 Projects -- 1.2.2 The Importance of Project Management -- 1.2.3 Relationship of Project, Program, Portfolio, and Operations Management -- 1.2.4 Components of the Guide -- 1.2.5 Tailoring -- 1.2.6 Project Management Business Documents -- 2. THE ENVIRONMENT IN WHICH PROJECTS OPERATE -- 2.1 Overview -- 2.2 Enterprise Environmental Factors -- 2.2.1 EEFs Internal to the Organization -- 2.2.2 EEFs External to the Organization -- 2.3 Organizational Process Assets -- 2.3.1 Processes, Policies, and Procedures -- 2.3.2 Organizational Knowledge Repositories -- 2.4 Organizational Systems -- 2.4.1 Overview -- 2.4.2 Organizational Governance Frameworks -- 2.4.3 Management Elements -- 2.4.4 Organizational Structure Types -- 3. THE ROLE OF THE PROJECT MANAGER -- 3.1 Overview -- 3.2 Definition of a Project Manager -- 3.3 The Project Manager's Sphere of Influence -- 3.3.1 Overview -- 3.3.2 The Project -- 3.3.3 The Organization -- 3.3.4 The Industry -- 3.3.5 Professional Discipline -- 3.3.6 Across Disciplines -- 3.4 Project Manager Competences -- 3.4.1 Overview -- 3.4.2 Technical Project Management Skills -- 3.4.3 Strategic and Business Management Skills -- 3.4.4 Leadership Skills -- 3.4.5 Comparison of Leadership and Management -- 3.5 Performing Integration -- 3.5.1 Performing Integration at the Process Level -- 3.5.2 Integration at the Cognitive Level -- 3.5.3 Integration at the Context Level -- 3.5.4 Integration and Complexity -- 4. PROJECT INTEGRATION MANAGEMENT -- 4.1 Develop Project Charter. 4.1.1 Develop Project Charter: Inputs -- 4.1.2 Develop Project Charter: Tools and Techniques -- 4.1.3 Develop Project Charter: Outputs -- 4.2 Develop Project Management Plan -- 4.2.1 Develop Project Management Plan: Inputs -- 4.2.2 Develop Project Management Plan: Tools and Techniques -- 4.2.3 Develop Project Management Plan: Outputs -- 4.3 Direct and Manage Project Work -- 4.3.1 Direct and Manage Project Work: Inputs -- 4.3.2 Direct and Manage Project Work: Tools and Techniques -- 4.3.3 Direct and Manage Project Work: Outputs -- 4.4 Manage Project Knowledge -- 4.4.1 Manage Project Knowledge: Inputs -- 4.4.2 Manage Project Knowledge: Tools and Techniques -- 4.4.3 Manage Project Knowledge: Outputs -- 4.5 Monitor and Control Project Work -- 4.5.1 Monitor and Control Project Work: Inputs -- 4.5.2 Monitor and Control Project Work: Tools and Techniques -- 4.5.3 Monitor and Control Project Work: Outputs -- 4.6 Perform Integrated Change Control -- 4.6.1 Perform Integrated Change Control: Inputs -- 4.6.2 Perform Integrated Change Control: Tools and Techniques -- 4.6.3 Perform Integrated Change Control: Outputs -- 4.7 Close Project or Phase -- 4.7.1 Close Project or Phase: Inputs -- 4.7.2 Close Project or Phase: Tools and Techniques -- 4.7.3 Close Project or Phase: Outputs -- 5. PROJECT SCOPE MANAGEMENT -- 5.1 Plan Scope Management -- 5.1.1 Plan Scope Management: Inputs -- 5.1.2 Plan Scope Management: Tools and Techniques -- 5.1.3 Plan Scope Management: Outputs -- 5.2 Collect Requirements -- 5.2.1 Collect Requirements: Inputs -- 5.2.2 Collect Requirements: Tools and Techniques -- 5.2.3 Collect Requirements: Outputs -- 5.3 Define Scope -- 5.3.1 Define Scope: Inputs -- 5.3.2 Define Scope: Tools and Techniques -- 5.3.3 Define Scope: Outputs -- 5.4 Create WBS -- 5.4.1 Create WBS: Inputs -- 5.4.2 Create WBS: Tools and Techniques -- 5.4.3 Create WBS: Outputs. 5.5 Validate Scope -- 5.5.1 Validate Scope: Inputs -- 5.5.2 Validate Scope: Tools and Techniques -- 5.5.3 Validate Scope: Outputs -- 5.6 Control Scope -- 5.6.1 Control Scope: Inputs -- 5.6.2 Control Scope: Tools and Techniques -- 5.6.3 Control Scope: Outputs -- 6. PROJECT SCHEDULE MANAGEMENT -- 6.1 Plan Schedule Management -- 6.1.1 Plan Schedule Management: Inputs -- 6.1.2 Plan Schedule Management: Tools and Techniques -- 6.1.3 Plan Schedule Management: Outputs -- 6.2 Define Activities -- 6.2.1 Define Activities: Inputs -- 6.2.2 Define Activities: Tools and Techniques -- 6.2.3 Define Activities: Outputs -- 6.3 Sequence Activities -- 6.3.1 Sequence Activities: Inputs -- 6.3.2 Sequence Activities: Tools and Techniques -- 6.3.3 Sequence Activities: Outputs -- 6.4 Estimate Activity Durations -- 6.4.1 Estimate Activity Durations: Inputs -- 6.4.2 Estimate Activity Durations: Tools and Techniques -- 6.4.3 Estimate Activity Durations: Outputs -- 6.5 Develop Schedule -- 6.5.1 Develop Schedule: Inputs -- 6.5.2 Develop Schedule: Tools and Techniques -- 6.5.3 Develop Schedule: Outputs -- 6.6 Control Schedule -- 6.6.1 Control Schedule: Inputs -- 6.6.2 Control Schedule: Tools and Techniques -- 6.6.3 Control Schedule: Outputs -- 7. PROJECT COST MANAGEMENT -- 7.1 Plan Cost Management -- 7.1.1 Plan Cost Management: Inputs -- 7.1.2 Plan Cost Management: Tools and Techniques -- 7.1.3 Plan Cost Management: Outputs -- 7.2 Estimate Costs -- 7.2.1 Estimate Costs: Inputs -- 7.2.2 Estimate Costs: Tools and Techniques -- 7.2.3 Estimate Costs: Outputs -- 7.3 Determine Budget -- 7.3.1 Determine Budget: Inputs -- 7.3.2 Determine Budget: Tools and Techniques -- 7.3.3 Determine Budget: Outputs -- 7.4 Control Costs -- 7.4.1 Control Costs: Inputs -- 7.4.2 Control Costs: Tools and Techniques -- 7.4.3 Control Costs: Outputs -- 8. PROJECT QUALITY MANAGEMENT. 8.1 Plan Quality Management -- 8.1.1 Plan Quality Management: Inputs -- 8.1.2 Plan Quality Management: Tools and Techniques -- 8.1.3 Plan Quality Management: Outputs -- 8.2 Manage Quality -- 8.2.1 Manage Quality: Inputs -- 8.2.2 Manage Quality: Tools and Techniques -- 8.2.3 Manage Quality: Outputs -- 8.3 Control Quality -- 8.3.1 Control Quality: Inputs -- 8.3.2 Control Quality: Tools and Techniques -- 8.3.3 Control Quality: Outputs -- 9. PROJECT RESOURCE MANAGEMENT -- 9.1 Plan Resource Management -- 9.1.1 Plan Resource Management: Inputs -- 9.1.2 Plan Resource Management: Tools and Techniques -- 9.1.3 Plan Resource Management: Outputs -- 9.2 Estimate Activity Resources -- 9.2.1 Estimate Activity Resources: Inputs -- 9.2.2 Estimate Activity Resources: Tools and Techniques -- 9.2.3 Estimate Activity Resources: Outputs -- 9.3 Acquire Resources -- 9.3.1 Acquire Resources: Inputs -- 9.3.2 Acquire Resources: Tools and Techniques -- 9.3.3 Acquire Resources: Outputs -- 9.4 Develop Team -- 9.4.1 Develop Team: Inputs -- 9.4.2 Develop Team: Tools and Techniques -- 9.4.3 Develop Team: Outputs -- 9.5 Manage Team -- 9.5.1 Manage Team: Inputs -- 9.5.2 Manage Team: Tools and Techniques -- 9.5.3 Manage Team: Outputs -- 9.6 Control Resources -- 9.6.1 Control Resources: Inputs -- 9.6.2 Control Resources: Tools and Techniques -- 9.6.3 Control Resources: Outputs -- 10. PROJECT COMMUNICATIONS MANAGEMENT -- 10.1 Plan Communications Management -- 10.1.1 Plan Communications Management: Inputs -- 10.1.2 Plan Communications Management: Tools and Techniques -- 10.1.3 Plan Communications Management: Outputs -- 10.2 Manage Communications -- 10.2.1 Manage Communications: Inputs -- 10.2.2 Manage Communications: Tools and Techniques -- 10.2.3 Manage Communications: Outputs -- 10.3 Monitor Communications -- 10.3.1 Monitor Communications: Inputs. 10.3.2 Monitor Communications: Tools and Techniques -- 10.3.3 Monitor Communications: Outputs -- 11. PROJECT RISK MANAGEMENT -- 11.1 Plan Risk Management -- 11.1.1 Plan Risk Management: Inputs -- 11.1.2 Plan Risk Management: Tools and Techniques -- 11.1.3 Plan Risk Management: Outputs -- 11.2 Identify Risks -- 11.2.1 Identify Risks: Inputs -- 11.2.2 Identify Risks: Tools and Techniques -- 11.2.3 Identify Risks: Outputs -- 11.3 Perform Qualitative Risk Analysis -- 11.3.1 Perform Qualitative Risk Analysis: Inputs -- 11.3.2 Perform Qualitative Risk Analysis: Tools and Techniques -- 11.3.3 Perform Qualitative Risk Analysis: Outputs -- 11.4 Perform Quantitative Risk Analysis -- 11.4.1 Perform Quantitative Risk Analysis: Inputs -- 11.4.2 Perform Quantitative Risk Analysis: Tools and Techniques -- 11.4.3 Perform Quantitative Risk Analysis: Outputs -- 11.5 Plan Risk Responses -- 11.5.1 Plan Risk Responses: Inputs -- 11.5.2 Plan Risk Responses: Tools and Techniques -- 11.5.3 Plan Risk Responses: Outputs -- 11.6 Implement Risk Responses -- 11.6.1 Implement Risk Responses: Inputs -- 11.6.2 Implement Risk Responses: Tools and Techniques -- 11.6.3 Implement Risk Responses: Outputs -- 11.7 Monitor Risks -- 11.7.1 Monitor Risks: Inputs -- 11.7.2 Monitor Risks: Tools and Techniques -- 11.7.3 Monitor Risks: Outputs -- 12. PROJECT PROCUREMENT MANAGEMENT -- 12.1 Plan Procurement Management -- 12.1.1 Plan Procurement Management: Inputs -- 12.1.2 Plan Procurement Management: Tools and Techniques -- 12.1.3 Plan Procurement Management: Outputs -- 12.2 Conduct Procurements -- 12.2.1 Conduct Procurements: Inputs -- 12.2.2 Conduct Procurements: Tools and Techniques -- 12.2.3 Conduct Procurements: Outputs -- 12.3 Control Procurements -- 12.3.1 Control Procurements: Inputs -- 12.3.2 Control Procurements: Tools and Techniques -- 12.3.3 Control Procurements: Outputs. 13. PROJECT STAKEHOLDER MANAGEMENT. EBL201911 20210129 added 110__ SzGeCERN Information Transfer and Management EBL Project management-Methodology BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5854268 ebook 201911 n 201945 21 PUBLIC https://catalogue.library.cern/legacy/2698873 BOOK MIGRATED 2698802 SzGeCERN 20210421201728.0 9781472967275 electronic version electronic version 9781472967244 print version oai:cds.cern.ch:2698802 cerncds:BOOK EBL 5850136 eng HD57.7 .C673 2019 658.4092 Corbet, Damian The social CEO how social media can make you a stronger leader London Bloomsbury Publishing 2020 313 p ebook Intro -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- Acknowledgements -- Contributors -- Introduction -- How the book is structured -- Part 1: The Social Age -- Chapter 1: What is the Social Age? -- From IT as a department to a fundamental foundation -- From formal frameworks to collective communities -- From 'knowledge is power' to lifelong learning -- From listing to living brand values -- From command and control to trusted authenticity -- Conclusion -- Part 2: How can CEOs use Social Media? -- Chapter 2: Listening, engaging and leading -- Research leads the way -- The benefits are enormous -- It starts at the top -- Trust -- Where is the customer today? -- Don't outsource -- Let's raise the bar -- The importance of the Giving Economy -- Tackling social media cynicism -- Chapter 3: Personal branding for CEOs -- Sample weekly executive social media prompt calendar -- Chapter 4: How PR disasters are driving CEOs to embrace social media -- Chapter 5: More than selling: Building social trust with your customers -- Perceived authority and authenticity of the 'messenger' drives trust -- Build trust, not just more sales channels -- Powerful personal brands can become disruptive forces -- The key tool for the next generation of B2B sales -- Organizational excellence in social selling excellence: A priority for CEOs -- Three steps to more effective social selling -- Chapter 6: How social media can bring talent and opportunity to your door -- A digital organization -- Showing up is everything -- Chapter 7: Internal engagement -- Digital transformation -- The opportunity -- Digital leadership -- Words, words, words -- Why it is worth it -- Challenging times ahead -- The risks -- Showing the way -- Five tips for making this work -- Chapter 8: Social leadership in small and medium businesses -- Benefits. Building social media into your business life -- The challenge -- Five top tips to take away -- Chapter 9: Why charity CEOs need to be on social media -- Stories -- Cause -- Stakeholders -- Summary -- Chapter 10: Living in glass houses: How the social CEO manages risk -- Part 3: Social CEOs in their own words -- Chapter 11: The sports sector -- The CEO stepping up -- Chapter 12: The healthcare sector -- My work -- Social leadership -- My unique approach to social media -- Challenges -- Five social media tips for CEOs in the healthcare sector -- Concluding thoughts -- Chapter 13: The manufacturing sector -- A new leadership style -- The mobility evolution -- Chapter 14: The charity sector -- Early beginnings -- Bringing some order to my thinking -- Taking the plunge -- A growing movement -- In their words - top tips from social CEOs -- Chapter 15: The insurance sector -- The transforming power of social media -- Be a better leader -- Find your voice -- Engage with your people -- Create a real-time culture -- Get help -- Plug into your brand -- What's next? -- Chapter 16: The social enterprise sector -- Using social for good -- So, how did we get here? -- People, platforms and posting -- My role as a social CEO -- Cutting through the noise -- Sharing creates exponential social change -- The learning journey never ends -- Five tips for success: -- Chapter 17: The environmental sector -- Building an authentic voice online -- Watching out for nuance -- Spreading the word -- A valuable tool -- Five tips for social CEOs in the environmental sector -- Chapter 18: The start-up sector -- Five tips to help start-up CEOs better utilize social media -- Chapter 19: The education sector -- Chapter 20: The B2B technology start-up -- Standing out -- The benefits of being a social CEO -- My approach -- Challenges. Five social media tips for B2B technology start-up CEOs -- Chapter 21: The tech sector -- Core values -- The tech start-up challenge -- New leaders -- Show your human side -- Attracting talent and advocates -- Not all plain sailing -- Five social media tips for leaders of tech start-ups: -- Chapter 22: The municipal sector -- Embedded in the community - listening and engaging -- Instant communication -- My unique approach -- Don't get swamped -- The challenge of time -- Five social media tips for municipal leaders -- Chapter 23: The travel sector -- Chapter 24: The small business owner -- A new opportunity -- Value for small business owners -- Top five tips for small business owners/entrepreneurs -- Part 4: The future -- Chapter 25: Disrupt yourself -- Understand your work/not work continuum and concepts of formality -- Don't create a new, and poor, customer-service channel -- Don't just broadcast, engage -- Make it a habit -- Chapter 26: The role of technology -- Good old messaging -- Virtual interaction -- Recorded for posterity? -- Chapter 27: The future of leadership -- Greater expectations -- All change -- #FollowTheLeader -- Talking of trust -- What's stopping you? -- Conclusion -- Notes -- Introduction -- Chapter 2 -- Chapter 4 -- Chapter 5 -- Chapter 6 -- Chapter 9 -- Chapter 10 -- Chapter 14 -- Chapter 19 -- Chapter 24 -- Chapter 27 -- Conclusion -- Index. EBL201911 Information Transfer and Management SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5850136 ebook n 201945 201911 21 PUBLIC https://catalogue.library.cern/legacy/2698802 BOOK MIGRATED 2698789 SzGeCERN 20200808000730.0 9781119483236 electronic version electronic version EBL 5849360 eng R858 .A875 2020 610.285 Gitlow, Lynn Assistive technologies and environmental interventions in healthcare an integrated approach Newark, NJ John Wiley & Sons 2019 450 p Flecky, Kathleen 9781119483229 print version oai:cds.cern.ch:2698789 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5849360 ebook ebook EBL Self-Help Devices EBL201911 Health Physics and Radiation Effects SzGeCERN BOOK n 201945 201911 21 PUBLIC BOOK DELETED 2698731 SzGeCERN 20200503232043.0 9781351261470 electronic version electronic version EBL 5845491 eng R856.A2 .T459 2020 610.28 Teixeira, Marie B Design controls for the medical device industry 3rd ed. Milton CRC Press 2019 263 p Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Author -- Chapter 1: Introduction -- Chapter 2: Device classification -- Chapter 3: Overview of design controls -- Applicability -- Design controls and the bottom line -- When might design controls be considered? -- What are the benefits of design control other than the obvious mandate? -- An idea is born -- Ask the customer -- Design controls and the customer -- Design and development phases -- The first phase: Definition-i.e., design input -- The second phase: Develop outputs-i.e., design and development -- The third phase: Design verification -- The fourth phase: Design validation -- The fifth phase: Product release -- The sixth phase: Improvement and optimization -- Chapter 4: Design and development planning -- Do we really need a plan? -- Design and development planning requirements -- Key elements of a design and development plan? -- Planning techniques -- Gantt charts -- When is a good time to use a Gantt chart? -- When might a Gantt chart not be appropriate? -- PERT charts -- What are the advantages of using PERT? -- When might PERT not be appropriate? -- Project planning-How do I get started? -- Chapter 5: Design inputs: Part I -- The concept document -- Design input -- What are design inputs? -- Design input requirements -- Where do design inputs come from? -- How do we document our inputs? -- Chapter 6: Design inputs: Part II -- Performance characteristics-e.g., user requirements -- Indications for use -- Clinical procedure for use -- Relevant use setting/environment -- Medical specialty of the user -- Patient population-inclusion/exclusion criteria -- User interface/ergonomic considerations -- Product characteristics-i.e., product requirements -- Physical characteristics -- Chemical characteristics -- Biological characteristics -- Selection of tests. Environmental characteristics -- Transport and storage -- Use environment -- Sterilization and sterile barrier characteristics -- Methods of sterilization -- Aseptic processing -- Reusable medical devices -- Packaging and labeling characteristics -- Equipment interface characteristics -- Safety and reliability characteristics -- Marketing requirements -- Intended marketplace -- Contractual requirements -- Claims -- Labeling requirements -- Patents, trademarks, and licensing agreements -- Clinical information -- Regulatory and quality assurance requirements -- Classification -- Device approval requirements -- Relevant regulatory or harmonized standards -- Labeling -- Contractual agreements -- Financial requirements -- Design specifications -- One more step -- Chapter 7: Design outputs -- Design output requirements -- Typical design outputs -- Device master record -- Chapter 8: Design review -- Not another meeting! -- FDA and design review -- Design review requirements -- Design team members -- Design review focus -- Design review elements -- Design review meetings -- Phase 1-Design input phase review -- Phase 2-Design and development phase review -- Phase 3-Design verification phase review -- Phase 4-Design validation phase review -- Phase 5-Design release and approval for sale (i.e., product launch) -- Phase 6-Use design review meeting -- Documenting the design review -- Meeting dynamics -- Communication skills -- Did they get it? -- Listen and validate -- Accept the bad news -- Monitor and measure -- Don't confuse motion with progress -- Meeting minutes -- Making decisions that solve problems -- Chapter 9: Design verification -- What is the purpose of design verification? -- What is design verification? -- Design verification-Definitions -- Design verification requirements -- Design verification process -- Verification activities -- A word of advice. Chapter 10: Risk management -- Why? -- How does risk management fit into design and development? -- What is risk management? -- The risk management process -- Risk analysis -- Human factors and the risk management process -- Risk evaluation -- Risk control -- Risk review -- Post-production risk management -- Chapter 11: Design validation -- Why validate? -- What is design validation? -- Design validation requirements -- Design validation process -- Validation activities -- Design validation results -- Risk assessment of medical device materials and the finished device -- Chapter 12: Biocompatibility -- Duration of use -- Degree of invasiveness -- Biological effects/end points -- Biological testing considerations -- Regulatory aspects of biocompatibility -- Biocompatibility testing programs -- Phases of biocompatibility testing -- Screening tests -- Systemic toxicity -- Cytotoxicity and cell cultures -- Evaluation using extracts -- Evaluation by direct contact -- Evaluation by indirect contact -- USP biological tests -- Irritation tests -- Sensitization tests -- Hemocompatibility tests -- Implantation tests -- Mutagenicity tests (genotoxicity) -- Supplemental testing -- Carcinogenicity testing -- Reproductive and developmental toxicity -- Biodegradation -- Chapter 13: Design transfer -- Importance of design transfer -- Design transfer requirements -- Design transfer -- The design transfer checklist -- Design release -- Chapter 14: Design change -- Why control design changes -- Design change examples -- Design change requirements -- Design change procedure -- Evaluation of design changes -- Documenting design changes -- Chapter 15: Design history file -- Why do we need a design history file? -- What is a design history file? -- Design history file requirements -- Design history file elements -- Chapter 16: The FDA inspection technique. Oh no! The FDA investigator is here -- General design control requirements -- Design and development planning -- Design input -- Design output -- Design review -- Design verification -- Design validation -- Design transfer -- Design changes -- Design history file -- Appendix A: Design controls procedure -- Appendix B: Design input document -- Appendix C: Product claims sheet -- Appendix D: Input/Output design traceability matrix -- Appendix E: Project approval form -- Appendix F: Design phase review meeting record -- Appendix G: Risk analysis -- Appendix H: Clinical evaluation report -- Appendix I: Design transfer checklist -- Appendix J: Design change form -- Appendix K: Approval for sale form -- Appendix L: Engineering change order form -- References -- Index. 9780815365525 print version oai:cds.cern.ch:2698731 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5845491 ebook ebook EBL Medical instruments and apparatus-Design and construction EBL201911 Health Physics and Radiation Effects SzGeCERN BOOK n 201945 201911 21 PUBLIC BOOK DELETED 2698698 SzGeCERN 20210421201739.0 9781614999751 electronic version electronic version 9781614999744 print version oai:cds.cern.ch:2698698 cerncds:BOOK EBL 5844068 eng R857.B54 .P443 2019 610.28 Blobel, B pHealth 2019 proceedings of the 16th international conference on wearable micro and nano technologies for personalized health, 10-12 june 2019, Genoa, Italy Amsterdam IOS Press 2019 346 p ebook Studies in health technology and informatics 261 Intro -- Title Page -- Preface -- pHealth 2019 Committees and Reviewers -- Contents -- Keynote -- Healthcare Transformation Towards Personalized Medicine - Chances and Challenges -- Invited Papers -- Suitable Data Representation for Abnormal Pattern Detection in Smart Home Environment -- Digital pHealth - Problems and Solutions for Ethics, Trust and Privacy -- pHealth Solutions and Architectures -- A SOA Based Solution for MDRO Surveillance and Improved Antibiotic Prescription in the Abruzzo Region -- Characterising Physical Rehabilitation Exergames for Player Experience Evaluation Purposes -- Extraction from Medical Records -- Development and Usability Evaluation of Web-Based Telerehabilitation Platform for Patients After Myocardial Infarction -- Affordable Personalized, Immersive VR Motor Rehabilitation System with Full Body Tracking -- Usability Testing of Two Mini-Games and One Serious Game to Educate People About Genetics -- Wearable Technologies for pHealth -- Obesity Risk Assessment Model Using Wearable Technology with Personalized Activity, Calorie Expenditure and Health Profile -- In-Vehicle Respiratory Rate Estimation Using Accelerometers -- Wearable Kinematic Monitoring System Based on Piezocapacitive Sensors -- Smartphone-Based Remote Monitoring Solution for Heart Failure Patients -- Adaptation Component Based on Wearable Technology to Support Personalized Tracking of Physical Activity in Children -- A Novel Medical Device for Early Detection of Melanoma -- Heart Rate Variability from Wearables: A Comparative Analysis Among Standard ECG, a Smart Shirt and a Wristband -- Artificial Intelligence and Machine Learning -- Echocardiography Population Study in Russian Federation for 4P Medicine Using Machine Learning -- Estimating Systolic Blood Pressure Using Convolutional Neural Networks. Graph-Based Predictive Modelling of Chronic Disease Development: Type 2 DM Case Study -- Permutation Entropy Applied to Fitbit Data: Long-Term Sleep Analysis on One Healthy Subject -- Heart Disease Dataset Clusterization -- A Comprehensive Tool for Usability Evaluation of Telehealth -- Using Machine Learning for Personalized Patient Adherence Level Determination -- Dynamic Features Impact on the Quality of Chronic Heart Failure Predictive Modelling -- NASA RTLX as a Novel Assessment for Determining Cognitive Load and User Acceptance of Expert and User-Based Evaluation Methods Exemplified Through a mHealth Diabetes Self-Management Application Evaluation -- Decision Support -- Translating the Results of Discrete Choice Experiments into p-/e-/m-Health Decision Support Tools -- Optimization of Clinical Decision Support Based on Pearson Correlation of Attributes -- A Multi-Criterial Support Tool for the Multimorbidity Decision in General Practice -- Using Neural Networks for Diagnosing in Dermatology -- Risk Classifications Interfere with Preference-Sensitive Decision Support -- Development and Pilot Testing of a Mobile Based Patient Decision Aid for Childbirth Decision Making -- Microservice Architecture to Provide Medical Data Management for Decision Support -- Security and Privacy, Social Factors and Environmental Context in pHealth Systems -- Healthcare Staffs' Information Security Practices Towards Mitigating Data Breaches: A Literature Survey -- Access Control Models - A Systematic Review -- iSupport: Building a Resilience Support Tool for Improving the Health Condition of the Patient During the Care Path -- Other pHealth Issues -- Multicompartment Hydrogels for the Local Delivery of Chemotherapic Drugs -- Systematic Review on Features Extracted from PPG Signals for the Detection of Atrial Fibrillation. Brain-on-a-Chip: A Human 3D Model for Clinical Application -- End-to-End Notifications and Interactivity in Standard Based EHR Networks -- Posters -- Information Technology System Including Patient Generated Health Data for Cancer Clinical Care and Research -- Ischemic Heart Disease Correlates with Muslim Names in a Population of Ten Year First Admissions at Tirana University Hospital Center -- A Web-Based Tool for a Complete Evaluation of Fragility in Senior Hiv+ Patients -- Critical Appraisal of Mental Health Applications -- Personalized Assistance for Patients with Chronic Diseases Through Multi-Level Distributed Healthcare Process Assessment -- Ischemic Stroke: Treatments to Improve Neuronal Functional Recovery in vitro -- Carried Weight Affects Walking Speed Monitoring with the IngVaL System -- Subject Index -- Author Index. EBL201911 Health Physics and Radiation Effects SzGeCERN BOOK Giacomini, M https://cds.cern.ch/auth.py?r=EBLIB_P_5844068 ebook n 201945 201911 21 PUBLIC https://catalogue.library.cern/legacy/2698698 BOOK MIGRATED 2698680 SzGeCERN 20210421201740.0 9781108657518 electronic version electronic version 9781107123663 print version oai:cds.cern.ch:2698680 cerncds:BOOK EBL 5842643 eng HD62.25 .S537 2019 658.4083 Sharma, Sanjay Patient capital the role of family firms in sustainable business Cambridge Cambridge University Press 2019 258 p ebook Organizations and the natural environment Cover -- Half-title page -- Series page -- Title page -- Copyright page -- Contents -- List of Figures -- List of Tables -- Preface -- 1 Definitions -- Introduction -- Key Terms in the Sustainability Literature -- Corporate Philanthropy -- Impact Investing -- Corporate Social Responsibility (CSR) -- Corporate Citizenship -- Corporate Greening -- Corporate Environmental Strategy -- Sustainable Business -- Sustainability Strategy -- Patient Capital -- Corporate Governance -- Ownership vs. Management Control -- Family vs. Non-Family Control -- Layout of the Monograph -- 2 Primary Data: Cases from the Winery Industry in Canada, France, and Chile -- The Winery Industry -- Reactive vs. Proactive Environmental Strategy in the Winery Industry -- Research Design and Case Selection -- Canadian Wineries -- Reactive Environmental Strategies -- First-Generation Family Firms -- Multi- or Later-Generation Family Firms -- Non-Family or Corporate Wineries -- Proactive Environmental Strategies -- First-Generation Family Firms -- Multi- or Later-Generation Family Firms -- Chilean Wineries -- Proactive Environmental Strategies -- Multi- or Later-Generation Family Firms -- Non-Family or Corporate Wineries -- French Wineries -- Reactive Environmental Strategies -- Non-Family or Corporate Wineries -- Proactive Environmental Strategies -- Multi- or Later-Generation Family Firms -- Non-Family or Corporate Wineries -- Data Collection -- Data Analysis -- Appendix A: Interview Guide -- 3 Exogenous Drivers of Corporate Environmental Sustainability Strategy -- Institutional Influences on a Firm's Strategy -- Institutional Influences on a Firm's Environmental Sustainability Strategy -- Impact of Different Regulatory Approaches on a Firm's Environmental Sustainability Strategy -- Family Firms' Response to Institutional Forces -- The Role of Institutional Entrepreneurs. Stakeholder Influences on a Firm's Environmental Strategy -- Stakeholder Classification, Salience, and Influence -- Individual Stakeholder Influences on a Firm's Environmental Sustainability Strategy -- Institutional Investors -- Media -- Regulators -- Boards -- Local Community -- NGOs -- Family Firms' Influence on and Response to Stakeholders -- Stakeholder Engagement in the Winery Industry -- Summary -- 4 Organizational Drivers of Corporate Environmental Sustainability Strategy -- Corporate Governance Influences on Firms' Environmental Strategies -- Ownership Influences on Firms' Environmental Strategies -- Institutional Ownership -- Shareholder Activists -- Board of Directors -- Top Management Influences on Firms' Environmental Strategies -- Top Management Team in Non-Family Firms -- Dominant Coalition in Family Firms -- Temporal Orientation -- Family Identification with the Firm -- Summary. -- Firm Level Market and Competitive Strategies -- Strategies Undertaken as Regulatory Responses -- The Link between Sustainability Strategy and Generic Business Strategy -- Sustainability Strategy and Financial Performance -- The Natural-Resource-Based View -- The Development and Deployment of Capabilities for PES in Family Firms -- Shared Family Sustainability Vision -- Familiness -- Stewardship Orientation -- Long-Term Temporal Orientation -- Family Identity -- The Contingent Natural-Resource-Based View -- Summary -- 5 Managerial Drivers of Environmental Sustainability Strategy -- The Influence of Managerial Values, Attitudes, and Interpretations -- Cognitive Frames and Biases -- Halo Effects -- Anchoring Effects -- Loss Bias -- Opportunity Framing of Environmental Issues -- Leadership -- Supervisory Influences -- Organizational Context and Design -- Legitimization of Environmental Sustainability in the Firm's Identity. Integration of Environmental Metrics into Performance Evaluation -- Discretionary Slack -- Information Flow -- Championing and Selling Sustainable Ideas and Innovations -- The Family Business Advantage -- 6 Bringing the Family into the Corporate Environmental Sustainability Strategy: Implications for Research, Education, and Policy -- How Are Family Firms Different from Non-Family Firms? -- Characteristics Unique to Family Firms -- Characteristics More Likely in Family Firms (but Also Could Be Present in Non-Family Firms) -- Summary of Propositions -- Institutional Influences -- Stakeholder Influences -- Organizational Influences -- Market / Competitive Strategy -- Development and Deployment of Organizational Capabilities -- Individual / Managerial Influences -- Implications for Research -- PES in Different Industry Contexts -- Measure Development -- Proactive Environmental Strategy -- Generalizability -- Temporal Perspective -- Agents of Institutional Change -- Bringing the Family inside Non-Family Firms -- Implications for Business Education -- Implications for Policy -- Conclusion -- Index. Exploration of environmental sustainability using the family business lens for fresh insights on balancing short-term financial performance with long-term corporate sustainability strategies. EBL201911 Information Transfer and Management SzGeCERN EBL Family-owned business enterprises-Environmental aspects EBL Sustainable development BOOK Sharma, Pramodita https://cds.cern.ch/auth.py?r=EBLIB_P_5842643 ebook n 201945 201911 21 PUBLIC https://catalogue.library.cern/legacy/2698680 BOOK MIGRATED 2698654 SzGeCERN 20210421201743.0 9781849954518 electronic version electronic version 9781849953955 print version oai:cds.cern.ch:2698654 cerncds:BOOK EBL 5837076 eng QC476.5 .H363 2019 535.35 Bateman, Mark D Handbook of luminscence dating Dunbeath Whittles 2019 417 p ebook Cover -- Title page -- Contents -- Authors -- Preface -- 1 Principles and history of luminescence dating -- 2 From sampling to reporting -- 3 Incorporating luminescence ages into chronometric frameworks -- 4 Applications in aeolian environments -- Applications in loessic enviroments -- 6 Applications in glacial and periglacial environments -- 7 Applications in fluvial and hillslope environments -- 8 Applications to coastal and marine environments -- 9 Applications of luminescence dating to active tectonic contexts -- 10 Applications in archaeological contexts -- 11 Rock surface burial and exposure dating -- 12 Future developments in luminescence dating -- Index. An accessible guide for archaeologists and Quaternary scientists and geologists; In depth explanations of challenges and issues arising from applying luminescence dating in specific environmental and archaeological contexts; Fully illustrated case studies show the range of approaches adopted and the reliability and precision of resultant ages; Provides guidance on interpreting luminescence ages and using them in chronological frameworks. EBL201911 Other Fields of Physics SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5837076 ebook n 201945 201911 21 PUBLIC https://catalogue.library.cern/legacy/2698654 BOOK MIGRATED 2698642 SzGeCERN 20210421201744.0 9780128133385 electronic version electronic version 9780128133378 print version oai:cds.cern.ch:2698642 cerncds:BOOK EBL 5789235 eng TA418.9.N35 .N366 2019 621.31244 Thomas, Sabu Nanomaterials for solar cell applications San Diego, CA Elsevier 2019 761 p ebook Front Cover -- Nanomaterials for Solar Cell Applications -- Copyright Page -- Contents -- List of Contributors -- Preface -- I. Fundamental of nanomaterials for solar cells -- 1 Fundamentals of solar cells -- 1.1 Introduction -- 1.2 The solar resource, solar energy -- 1.3 Principles of photovoltaic energy conversion -- 1.4 Semiconductors -- 1.4.1 Bands, electrons, and holes -- 1.4.2 Doping, n and p types -- 1.4.3 Generation and recombination of electron-holes pairs -- 1.4.3.1 Absorption -- 1.5 Solar cell structure, operation, and main parameters -- 1.5.1 p-n Junction -- 1.5.2 Structure, operation, and main parameters of solar cells -- 1.5.2.1 Dark current due to voltage -- 1.5.2.2 Superposition and IV curve -- 1.6 Upper limit for solar energy conversion -- 1.7 Reducing Boltzmann losses: optical concentration and angular restriction -- 1.7.1 Optical concentration -- 1.7.1.1 Practical concentrators -- 1.7.2 Angular restriction -- 1.7.2.1 Optics for angular restriction -- 1.8 Reducing thermalization and below-Eg losses: advanced concepts of photovoltaic cells -- 1.8.1 Multijunction (MJ) solar cells -- 1.8.2 Other concepts -- 1.8.2.1 Quantum solar cells -- 1.8.2.2 Intermediate band solar cells -- 1.8.2.3 Hot carrier solar cells -- 1.8.2.4 Multiple exciton generation -- References -- Further reading -- 2 Life-cycle assessment of photovoltaic systems -- List of symbols and abbreviations -- 2.1 Introduction -- 2.2 Life-cycle assessment: general issues -- 2.3 Life-cycle impact assessment methods -- 2.3.1 Embodied energy, embodied carbon, energy payback time, greenhouse-gas payback time -- 2.3.2 Methods which include midpoint and/or endpoint approaches -- 2.3.3 Other methods -- 2.4 Life-cycle assessment and metrics-environmental indicators for photovoltaics -- 2.4.1 Metrics and indicators for photovoltaic life-cycle assessment. 2.4.2 Methodological framework for assessing (based on life-cycle assessment) the environmental impacts of photovoltaic systems -- 2.5 Life-cycle assessment of photovoltaic technologies -- 2.5.1 Silicon -- 2.5.2 Multijunction -- 2.5.3 Copper indium gallium diselenide -- 2.5.4 Cadmium telluride -- 2.5.5 Perovskite -- 2.5.6 Organic -- 2.5.7 Dye-sensitized -- 2.5.8 Studies comparing different photovoltaic technologies -- 2.5.9 Photovoltaic/thermal -- 2.6 Life-cycle assessment of photovoltaic systems -- 2.6.1 Materials and manufacturing phase -- 2.6.2 The role of sunlight concentration -- 2.6.3 Nanomaterials and nanofluids -- 2.6.4 Storage and materials -- 2.6.5 Roles of the heat transfer fluid (for photovoltaic/thermal) and integration into the building (relative to photovolta... -- 2.6.6 Life span, durability of the materials, recycling, end-of-life -- 2.7 Conclusions -- References -- 3 Introduction to nanomaterials: synthesis and applications -- 3.1 Introduction to nanotechnology -- 3.1.1 History of nanotechnology -- 3.1.2 Size effects of nanomaterials -- 3.1.3 Carbon nanomaterials -- 3.2 Quantum dots -- 3.3 Metal nanoparticles -- 3.4 Synthesis of nanomaterials -- 3.4.1 Top-down approaches -- 3.4.1.1 Mechanical milling -- 3.4.1.2 Mechanochemical processing -- 3.4.1.3 Electroexplosion -- 3.4.1.4 Sputtering -- 3.4.1.5 Laser ablation -- 3.4.1.6 Lithography -- 3.4.1.7 Aerosol-based techniques -- 3.4.1.8 Electrospinning -- 3.4.2 Bottom-up approaches -- 3.4.2.1 Chemical vapor deposition -- 3.4.2.2 Plasma arcing -- 3.4.2.3 Wet chemical methods -- 3.4.2.4 Solvothermal/Hydrothermal synthesis -- 3.4.2.5 Reverse micelle method -- 3.4.2.6 Sol-gel method -- 3.5 Conclusion -- References -- Further reading -- 4 Characterization techniques for nanomaterials -- 4.1 Introduction -- 4.2 Characterization techniques for nanomaterials. 4.2.1 Characterization based upon nanomaterial properties -- 4.2.1.1 Optical characterization techniques -- 4.2.1.1.1 Confocal laser scanning microscopy -- 4.2.1.1.2 Scanning near-field optical microscopy -- 4.2.1.1.3 Two-photon fluorescence microscopy -- 4.2.1.1.4 Dynamic light scattering -- 4.2.1.1.5 Brewster angle microscopy -- 4.2.1.2 Physicochemical characterization -- 4.2.1.2.1 Fluorescence correlation spectroscopy -- 4.2.1.2.2 Raman scattering -- 4.2.1.2.3 Nuclear magnetic resonance -- 4.2.1.2.4 Mass spectrometry -- 4.2.1.2.5 Zeta potential -- 4.2.1.2.6 X-ray diffraction -- 4.2.1.3 Thermogravimetric measurement technique -- 4.2.1.3.1 Evolved gas analysis -- 4.2.2 Characterization technique based upon instruments -- 4.2.2.1 Scanning electron microscopy techniques -- 4.2.2.1.1 Near-field scanning optical microscopy -- 4.2.2.1.2 Transmission electron microscopy -- 4.2.2.1.3 Atomic force microscopy -- 4.2.2.1.4 Energy-dispersive X-ray microanalysis -- 4.2.2.1.5 Environmental scanning electron microscopy -- 4.2.2.1.6 Cryo-scanning microscopy -- 4.2.2.2 Spectroscopic techniques -- 4.2.2.2.1 Ultraviolet-visible absorption -- 4.2.2.2.2 Infrared spectroscopy -- 4.2.2.2.3 Surface-enhanced Raman scattering -- 4.2.2.3 Probe characterization techniques -- 4.2.2.3.1 Electron probe characterization -- 4.2.2.3.1.1 Scanning probe electron microscopy -- 4.2.2.3.1.2 Electron probe microanalysis -- 4.2.2.3.1.3 Scanning transmission electron microscopy -- 4.2.2.3.2 Photon probe characterization -- 4.2.2.3.2.1 Photoelectron spectroscopy -- 4.2.2.3.2.2 Ultraviolet-visible spectroscopy -- 4.2.2.3.2.3 Atomic absorption spectroscopy -- 4.2.2.3.2.4 Inductively coupled plasma spectroscopy -- 4.2.2.3.2.5 Fluorescence spectroscopy -- 4.2.2.3.3 Ion particle probe characterization -- 4.2.2.3.3.1 Rutherford backscattering -- 4.2.2.3.3.2 Small-angle scattering. 4.2.2.3.3.3 Small-angle neutron scattering -- 4.2.2.3.3.4 Small-angle X-ray scattering -- 4.2.2.3.3.5 Cathodoluminescence -- 4.3 Advanced measurement techniques -- 4.4 Conclusion -- References -- Further reading -- II. Metal oxide-based solar cells -- 5 TiO2-based dye-sensitized solar cells -- 5.1 Introduction -- 5.2 Why TiO2 in dye-sensitized solar cells? -- 5.3 TiO2-based dye-sensitized solar cell -- 5.4 Doped TiO2-based dye-sensitized solar cell -- 5.5 Conclusion -- References -- 6 ZnO-based dye-sensitized solar cells -- 6.1 Introduction -- 6.1.1 Dye-sensitized solar cells -- 6.1.2 Properties of ZnO -- 6.1.3 Advantages, disadvantages and challenges in ZnO-based dye-sensitized solar cell fabrication -- 6.2 Synthesis methods and nanostructure morphology of ZnO for dye-sensitized solar cell applications -- 6.2.1 ZnO morphology and morphological parameters: size, surface area, porosity -- 6.3 Deposition techniques -- 6.4 ZnO-based dye-sensitized solar cells with different architecture -- 6.4.1 Type of substrate: glass, flexible plastic and metal substrates -- 6.4.2 Dyes -- 6.4.3 Redox couples -- 6.4.4 Advantages and drawbacks of different architectures -- 6.4.5 State-of-the-art performance of ZnO-based dye-sensitized solar cells -- 6.5 Advanced characterization of ZnO-based dye-sensitized solar cells -- 6.5.1 Electrochemical impedance spectroscopy -- 6.5.2 Intensity-modulated photovoltage spectroscopy -- 6.5.3 Intensity-modulated photocurrent spectroscopy -- 6.6 Performance improvement strategies and scale-up -- 6.6.1 Design optimization of ZnO-based dye-sensitized solar cells -- 6.6.2 Aspects of scale-up -- 6.7 Conclusions and outlook -- Acknowledgments -- References -- 7 SnO2 dye-sensitized solar cells -- 7.1 Introduction -- 7.1.1 Tin oxide -- 7.2 Various SnO2 nanostructures employed as photoanodes in dye-sensitized solar cells. 7.2.1 Pure SnO2 nanostructures based on nanoparticles in dye-sensitized solar cells -- 7.2.2 Characterization of synthesized nanostructures -- 7.2.2.1 X-rays diffraction analysis -- 7.2.2.2 Morphological study -- 7.2.2.3 Gas adsorption studies -- 7.2.3 Dye-sensitized solar cells fabrication and testing -- 7.2.3.1 Morphology and thickness of the electrodes -- 7.2.3.2 Light scattering properties of the dye-anchored electrodes -- 7.2.3.3 Photovoltaic characteristics of fabricated dye-sensitized solar cells -- 7.2.3.4 Charge transport parameters -- 7.3 Photoanode based on SnO2 one-dimensional nanostructures -- 7.3.1 Porous and multiparous tin oxide nanofiber -- 7.3.2 Characterization of porous and multiporous nanofibers -- 7.3.2.1 Precursor concentration versus viscosity of the solutions -- 7.3.2.2 Crystal structure of the annealed samples -- 7.3.2.3 Concentration dependent morphology of the tin oxide -- 7.3.2.4 Gas adsorption studies of the annealed samples -- 7.4 Dye-sensitized solar cells fabrication and testing -- 7.4.1 Morphology and thickness of the electrodes -- 7.4.2 Light scattering properties of the dye-anchored electrodes -- 7.4.3 Photovoltaics characteristics of tin oxide nanostructures -- 7.4.4 Charge transport properties of dye-sensitized solar cells -- 7.5 Photoanode based on SnO2 composite or hybrid -- 7.5.1 Characterization of composite nanostructures -- 7.5.1.1 Phase and crystallinity of composite nanostructures -- 7.5.1.2 Morphological properties of composite photoanodes -- 7.5.1.3 Morphological features of electrospun composite -- 7.5.2 Dye-sensitized solar cells fabrication and testing -- 7.5.2.1 Dye loading of the electrodes -- 7.5.2.2 Photovoltaic characteristics of the dye-sensitized solar cells -- 7.5.2.3 Origin of high open circuit voltage -- 7.5.2.4 Charge transport properties -- 7.6 Doped photoanode. 7.7 Three-dimensional SnO2 nanostructures. EBL201911 Engineering SzGeCERN BOOK Sakho, El Hadji Mamour Kalarikkal, Nandakumar Oluwafemi, Samuel Oluwatobi Wu, Jihuai https://cds.cern.ch/auth.py?r=EBLIB_P_5789235 ebook n 201945 201911 21 PUBLIC https://catalogue.library.cern/legacy/2698642 BOOK MIGRATED 2698616 SzGeCERN 20210421201747.0 9781447173250 electronic version electronic version 9781447173243 print version oai:cds.cern.ch:2698616 cerncds:BOOK EBL 4853813 eng QA75.5-76.95 629.4742 Hallock, Harold L ACS without an attitude London Springer 2017 290 p ebook NASA monographs in systems and software engineering Intro -- Preface -- Contents -- Acronyms -- 1 Attitude Conventions and Definitions -- 1.1 Definition of the Inertial Reference Frame -- 1.2 Defining Attitude via Euler Angles (Right Ascension, Declination, and Roll) -- 1.3 Defining Attitude via Euler Angles (Roll, Pitch, and Yaw) -- 1.4 Defining Attitude via the Direction Cosine Matrix -- 1.5 Defining Attitude via the Eigenvector and Rotation Angle -- 1.6 Defining Attitude via Quarternions -- 1.7 Attitude Format Applications -- 2 General Orbit Background -- 2.1 Historical Perspective -- 2.2 Orbital Shapes -- 2.3 Specifying the Orbit's Orientation in Inertial Space -- 2.4 The Location of the Spacecraft in the Orbit -- 2.5 Keplerian Element Types -- 2.6 Orbit Perturbations - Oblate Earth -- 2.7 Orbit Perturbations - Aerodynamic Drag -- 2.8 Orbit Perturbations - Solar Radiation Pressure -- 2.9 Orbit Perturbations - Orbit Maneuvers with Thrusters -- 3 Angular Momentum and Torque -- 3.1 Historical Digression -- 3.2 Translational Motion -- 3.3 Rotational Motion -- 3.4 Motion of the Center of Mass Versus Motion About the Center of Mass -- 3.5 How the Moment of Inertia Tensor Describes the Object's Nature -- 3.6 Types of Torque-Free Rotational Motion -- 3.7 How Torques Can Influence an Object's Rotational Motion -- 3.8 Attitude Control Torques -- 3.9 Environmental Torques -- 4 Attitude Measurement Sensors -- 4.1 Sun Sensors -- 4.2 Earth Sensors -- 4.3 Magnetometers -- 4.4 Star Sensors -- 4.5 Gyros -- 5 Attitude Actuators -- 5.1 Reaction Wheels -- 5.2 Magnetic Torquer Bars (MTBs) -- 5.3 Thrusters -- 6 Reference Models -- 6.1 Modeling the Earth's Gravitational Field -- 6.2 Modeling the Spacecraft's Ephemeris -- 6.3 Modeling Solar, Lunar, and Planetary Ephemerides -- 6.4 Modeling the Geomagnetic Field -- 6.5 Star Catalogs -- 6.6 Velocity Aberration -- 6.7 Parallax -- 6.8 Stellar Magnitude. 6.9 Star Catalog Examples -- 7 Onboard Attitude Determination -- 7.1 Attitude Propagation with Gyroscope Data -- 7.2 Reference Attitude -- 7.3 Minimum Data Attitude Determination -- 7.4 Batch Attitude Determination with Vector Observations -- 7.5 Attitude Uncertainty: The Covariance Matrix -- 7.6 Combining Multiple Attitude Solutions -- 7.7 Combining an Attitude Solution with a Vector Measurement -- 7.8 Measurement Propagation and De-Weighting -- 7.9 Recursive Attitude Estimation -- 7.10 Recursive Attitude Plus Gyro Bias Estimation -- 7.11 The Kalman Filter for Recursive Least Squares -- 7.12 Synopsis -- 7.13 Mathematics to English Translation of Kalman Filtering -- 8 Spacecraft State Estimation More Broadly -- 8.1 Attitude-Related Least Squares Problems -- 8.1.1 Star Tracker Relative Alignments -- 8.1.2 Star Tracker Internal Calibrations -- 8.1.3 Gyroscope Calibration -- 8.1.4 Sun Sensor Calibration -- 8.1.5 Magnetometer Calibration -- 8.1.6 Wavefront Calibration -- 8.2 General Issues -- 8.2.1 Observability -- 8.2.2 State Vector Selection -- 8.2.3 Observation Model -- 8.2.4 Least Squares Filters -- 9 Onboard Orbit Computations -- 9.1 CGRO Onboard Orbit Models -- 9.2 HST Onboard Orbit Models -- 9.3 Landsat Orbit Model -- 9.4 RXTE Orbit Models -- 9.5 WMAP Orbit Models -- 9.6 Onboard Orbit Measurement with GPS -- 9.7 Onboard Orbit Measurement with TONS -- 10 Control Laws: General Qualities -- 10.1 Definition of Control Law Terms -- 10.2 Closed-Loop Control Laws -- 10.3 Laplace Transforms and Transfer Functions -- 10.4 Control System Response and Behavior -- 10.5 The Harmonic Oscillator in Detail -- 10.6 Adjusting Gains: The Root Locus Diagram -- 10.7 Discrete Systems and the Z Transform -- 11 Control Laws: Attitude Applications -- 11.1 Equivalence of L-R-C Circuits and Harmonic Oscillators -- 11.2 PID Control Laws -- 11.2.1 Bang-Bang Control. 11.2.2 Proportional Control -- 11.2.3 Proportional-Derivative Control -- 11.2.4 Proportional-Integral-Derivative Control -- 11.3 Hubble Space Telescope Pointing Control Law -- 11.4 Control Law Tuning -- 12 Mission Characteristics -- 12.1 Mission Orbit Selection -- 12.2 Celestial-Pointers Versus Earth-Pointers -- 12.3 Safemodes -- 12.4 Mission Attitude Acquisition -- 12.5 Spacecraft Comparisons -- Appendix A Time Measurement Systems -- Appendix B Variation on Deriving the Kalman Gain -- Glossary -- References -- Index. EBL201911 SzGeCERN Engineering BOOK Welter, Gary Simpson, David G Rouff, Christopher https://cds.cern.ch/auth.py?r=EBLIB_P_4853813 ebook 201911 n 201945 21 PUBLIC https://catalogue.library.cern/legacy/2698616 BOOK MIGRATED 2698105 SzGeCERN 20200503232041.0 9781000008647 electronic version electronic version EBL 5813207 eng HC79.E5 .R695 2020 658.408 Rowledge, Lorinda R Crowdrising building a sustainable world through mass collaboration Sheffield Routledge 2019 375 p Cover -- Half title -- Title page -- Copyright page -- Dedication -- Table of contents -- Figures -- Tables -- Preface -- Acknowledgments -- Introduction: mobilizing our collective intelligence for good -- Defining crowdsourcing -- Notes -- Part I The strategic context for crowdsourcing sustainability -- 1 The ultimate challenge: the business and societal imperative for sustainability and social innovation -- Vital challenges facing business and humanity (or the curse of living in interesting times) -- Defining sustainability/corporate social responsibility (csr) -- Sustainability is now a strategic business imperative -- External drivers -- Internal drivers -- Organizational response to these pressures -- What is needed is transformational change -- Sustainability's wicked questions -- Notes -- 2 Death of the hero, phoenix emerging: tectonic shifts propelling open innovation for sustainability -- Barraging forces -- Technological advances enabling social collaboration -- Open innovation and crowdsourcing -- Defining innovation -- Evolution of crowdsourcing -- Using the terms open innovation and crowdsourcing -- Benefits of open innovation and crowdsourcing -- World-changing shift in worldview and consciousness -- Systems thinking, analysis, and intervention -- Evolved leadership approaches -- The power of purpose and meaning -- Death of the hero, phoenix emerging -- Tectonic shift revealed -- Notes -- Part II Unleashing our potential for innovation and good -- 3 Moonshots and epic wins: catalyzing innovative solutions to scientific, technological, and societal challenges -- Crowdsourcing sustainability case study -- Xprize: breakthrough innovation to transform the world -- Designing and managing the xprize -- Reflection -- Crowdsourcing sustainability case study -- Ge's revolutionary ecomagination challenge. Crowdsourcing sustainability case study -- Ge embraces healthymagination -- Healthymagination: ge expands innovation focus to healthcare -- Case study -- Launch: a path to groundbreaking innovations -- Background context: evolution of sustainability at nike -- The launch process -- Perspectives from the inside -- Crowdsourcing sustainability case study -- Saving lives at birth: building a solution ecosystem -- Travel back in time eight years -- Structure and process -- Promoting in-country innovation -- Context, context, context -- Supporting award winners -- Partnerships -- An abundance of resources -- Reflection -- Crowdsourcing sustainability case study -- Openideo and ideo.org: leveraging crowdsourcing and human-centered design for innovative solutions to social issues -- OpenIDEO -- Ideo.org -- Winning idea: madre cuidadora -- "Amping" it up a notch: amplify challenges -- Expanding the amplify initiative -- Behind the scenes at openideo -- Closing thoughts -- Crowdsourcing sustainability case study -- Sony open planet ideas initiative -- Summary -- Notes -- 4 Foundry ideas and futurescapes: soliciting customer vision, insights, and action -- Crowdsourcing sustainability case study -- Unilever foundry ideas: consumer ideas for sustainable living -- Background -- Unilever foundry -- Foundryideas -- The water challenge -- Crowdsourcing sustainability case study -- Levi: imagining zero energy clothes drying -- Crowdsourcing sustainability case study -- My starbucks idea: tapping customers' ideas for improvement -- Background -- Mystarbucks idea and corporate social responsibility (csr) -- Crowdsourcing sustainability case study -- Lego: super fans inventing building blocks for girls -- Crowdsourcing sustainability case study -- Starbucks betacup challenge: build a little positive karma -- Background -- The crowdsourcing campaign -- The karma cup. Crowdsourcing sustainability case study -- Sony: futurescapes: imagining technologies for a sustainable future -- Summary -- Notes -- 5 Innovation pipelines and idea streets: engaging employees in sustainability improvement, innovation, and activism -- The backstory -- Crowdsourcing sustainability case study -- At&amp -- t "the innovation pipeline" (tip) program: create. collaborate. change. -- The process -- Challenges vs open tip -- At&amp -- t drivemode -- Numbersync -- Crowdsourcing sustainability case study -- Edp brazil's innovation exchange: crowdsourcing employee ideas for improvement -- The company -- Why look at open innovation at edp? -- Innovability -- Edp innovation exchange -- Imentors -- Integrating the idea exchange with lean production -- Crowdsourcing strategy -- Crowdsourcing sustainability case study -- Uk government: idea street - moving from suggestion box to virtual idea marketplace -- A bit of background -- How the idea street initiative was managed -- Extending the effectiveness -- Crowdsourcing sustainability case study -- Unilever sustainable living lab: employees and the public meeting online regarding ways to achieve a sustainable future -- Highlights from the 2012 sustainable living lab highlights report -- Summary -- Notes -- 6 Imagineering a better world: gathering citizen input and democratizing governance -- Crowdsourcing sustainability case study -- Finland advances democracy: crowdsourcing citizen input for policy-making -- Crowdsourcing sustainability case study -- New york city's "change by us" campaign -- Inviting citizen's ideas for improving their community -- Crowdsourcing sustainability case study -- Imagine colorado: connecting colorado's youth to a healthier lifestyle -- How would you connect colorado's youth to a healthier lifestyle? -- Crowdsourcing sustainability case study. "the counted" by the guardian us: recording crushed hopes and dreams - police killings in the us -- Crowdsourcing sustainability case study -- Question campaigns: giving voice to the voiceless and designing for - and with - people on the margins -- Cambridge 21 days of questions/365 days of action campaign -- Go boston 2030 campaign -- Summary -- Notes -- 7 Social entrepreneurs and movement making: activating student initiative for good -- Crowdsourcing sustainability case study -- #cleanseas innovation challenge -- Crowdsourcing sustainability case study -- Dell social innovation challenge: engaging university and college students -- Crowdsourcing sustainability case study -- Engaging college students to impact human trafficking -- Crowdsourcing sustainability case study -- Mit climate colab -- Crowdsourcing sustainability case study -- Nyu affordability initiative -- Summary -- Notes -- 8 Myworld, mycompany, mycommunity: co-creating strategy for environmental, social, and economic sustainability -- Sainsbury's taps the wisdom of the crowd: engaging an expert crowd in critiquing sainsbury's sustainability strategy -- Crowdsourcing sustainability case study one: championing a people-powered agenda for "the world we want" -- Crowdsourcing sustainability case study hp's living progress exchange (lpx): linking corporate citizenship to business results -- Summary -- Notes -- Part III the method behind the magic -- 9 Alchemy and conjuring 101: learning from implementation successes and failures -- Take heed from failures, risks, and issues -- Enabling racial profiling and causing harm -- Failing to screen out inappropriate entries -- Not ensuring wide stakeholder representation -- Marketing disasters -- Participants feeling exploited -- Weak or poorly communicated design criteria -- Breaking promises, not meeting expectations. Inadequate diversity in crowd and ideas -- Open innovation that ultimately creates harm (the dark side of crowdsourcing) -- Insights from implementation successes -- Give up power to get results -- Integrate innovation strategy with your core business -- Change your - and your company's - mindset -- Make it brand relevant -- Build strategic partnerships -- Design the overall open innovation challenge process -- Evaluate and select the optimal technology platform to meet your needs -- Consider combining in-person live with online engagement processes and events -- Apply systems thinking and analysis -- Involve key stakeholders and players needed for implementation -- Incorporate testing and feedback where relevant -- Choose the crowd with care -- Define a compelling, purposeful challenge question -- Create an innovation culture -- Demonstrate leadership commitment and engagement -- Provide innovation direction and a community management -- Recognize the importance of recognition -- Monitor and consciously build the health of the network -- Plan to assess participation, results, and impact -- Inputs and outputs -- Results and impact -- Think big: what bold initiative could you sponsor? -- Implement -- Summary -- Notes -- Part IV window into the future -- 10 Crystal ball gazing: co-creation, mass collaboration, and collective impact -- Notes -- Index. 9781783533497 print version oai:cds.cern.ch:2698105 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5813207 ebook ebook EBL Sustainable development EBL201910 Information Transfer and Management SzGeCERN BOOK n 201944 201910 21 PUBLIC BOOK DELETED 2698093 SzGeCERN 20210421201755.0 9781351450386 electronic version electronic version 9781138465404 print version oai:cds.cern.ch:2698093 cerncds:BOOK EBL 5785079 eng GE300 .K389 2018 025/.06/3337 Katz, Michael Environmental management tools on the internet accessing the world of environmental information Milton Routledge 1996 183 p ebook EBL201910 Information Transfer and Management SzGeCERN EBL Environmental management-Decision making BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5785079 ebook n 201944 21 PUBLIC https://catalogue.library.cern/legacy/2698093 BOOK MIGRATED 2698084 SzGeCERN 20210421201756.0 9781604278071 electronic version electronic version 9781604271621 print version oai:cds.cern.ch:2698084 cerncds:BOOK EBL 5762184 eng HD69.P75 .A489 2019 658.404076 Altwies, Diane Achieve CAPM exam success a concise study guide and desk reference 3rd ed. Chicago, IL J. Ross Publishing 2019 495 p ebook Front Cover -- Title Page -- Copyright -- Table of Contents -- Foreword -- Preface -- Acknowledgments -- Introduction -- Author Information -- Web Added Value -- Chapter 1: Study Tips &amp -- Assessment Exam -- What is a Certified Associate in Project Management (CAPM) -- CAPM Exam Specifics -- Study Tips -- Exam Tips -- Time Management During the Exam -- FAQs About the Exam -- Memorization Tips -- Memorization Tip for the Five Process Groups -- Memorization Tip for the Ten Knowledge Areas -- Formulas, Equations and Rules -- Project Network Schedules -- Normal Distribution -- Triangular Distribution -- Weighted-Average or Beta/PERT Distribution -- Statistical Sums -- Probability Distribution -- Earned Value Management -- Estimate at Completion -- Budget at Completion -- Remaining Budget -- Estimate to Complete -- Communications Channels -- Rule of Seven -- Probability Measures -- Sample Study Schedule -- Sample Assessment Exam -- Chapter 2: Overview and Environment -- Overview and Environment -- Key Definitions -- Projects Versus Products -- Relationships Between Project Management, Program Management, and Portfolio Management -- Projects, Programs, and Portfolios -- Project Management in Operations Management and Organizational Strategy -- Project and Development Life Cycles -- Stakeholder Influence -- Relationship of Project Life Cycle to Product Life Cycle -- Project Management Processes and Process Groups -- Initiating Process Group -- Planning Process Group -- Executing Process Group -- Monitoring and Controlling Process Group -- Closing Process Group -- Project Management Process Interactions -- Work Performance Data, Work Performance Information, and Work Performance Reports -- Tailoring -- Project Constraints -- Project Management Business Documents -- Business Value -- Business Case -- Project Benefits Management Plan. Project Charter and Project Management Plan -- Project Success Measures -- Enterprise Environmental Factors (EEF) -- Organizational Process Assets (OPA) -- Organizational Systems -- Organizational Structure Types -- Functional Organization -- Matrix Organization -- Project-Oriented Organization -- Project Management Office (PMO) -- Sample CAPM Exam Questions on Overview and Environment -- Answers and References for Sample CAPM Exam Questions on Overview and Environment -- Chapter 3: The Project Manager Role -- The Role of the Project Manager -- Key Definitions -- Project Manager Roles -- Spheres of Influence -- The Project -- The Organization -- Professional Discipline -- Across Disciplines -- Competencies -- Technical -- Strategic and Business Management -- Leadership -- Performing Integration -- Process Level -- Cognitive Level -- Context Level -- Sample CAPM Exam Questions on the Project Manager Role -- Answers and References for Sample CAPM Exam Questions on the Project Manager Role -- Chapter 4: Integration -- Integration Management -- Knowledge Area Processes -- Key Definitions -- Develop Project Charter Process -- Expert Judgment -- Brainstorming -- Facilitation and Conflict Management Techniques -- Meeting Management -- The Project Charter -- Exercise 4-1 -- Exercise 4-2 -- Assumption Log -- Develop Project Management Plan Process -- The Project Management Plan -- Direct and Manage Project Work Process -- Project Management Information System (PMIS) -- Meetings -- Manage Project Knowledge Process -- Knowledge Management -- Information Management -- Interpersonal Skills -- Monitor and Control Project Work Process -- Data Analysis -- Decision Making -- Meetings -- Perform Integrated Change Control Process -- Change Control Tools -- Data Analysis -- Decision Making -- Close Project or Phase Process. Sample CAPM Exam Questions on Integration Management -- Answers and References for Sample CAPM Exam Questions on Integration Management -- Answers to Exercises -- Chapter 5: Scope -- Scope Management -- Knowledge Area Processes -- Key Definitions -- Plan Scope Management Process -- Expert Judgment, Data Analysis, and Meetings -- Collect Requirements Process -- Interviews -- Voting -- Define Scope Process -- Interpersonal Skills -- Product Analysis -- Alternatives Analysis -- Create WBS Process -- Work Breakdown Structure (WBS) -- Exercise 5-1 -- Control Accounts and Work Packages -- Planning Packages and Subprojects -- Decomposition -- Categorization of the WBS -- Validate Scope Process -- Inspection -- Work Performance Information -- Accepted Deliverables -- Change Requests -- Control Scope Process -- Data Analysis -- Sample CAPM Exam Questions on Scope Management -- Answers and References for Sample CAPM Exam Questions on Scope Management -- Answers to Exercises -- Chapter 6: Schedule -- Schedule Management -- Knowledge Area Processes -- Key Definitions -- Plan Schedule Management Process -- Expert Judgment and Meetings -- Analytical Techniques -- Define Activities Process -- Decomposition -- Rolling Wave Planning -- Expert Judgment -- Milestone List -- Sequence Activities Process -- Precedence Diagramming Method (PDM) -- Exercise 6-1 -- Dependency Determination -- Exercise 6-2 -- Exercise 6-3 -- Lags and Leads -- Updating the WBS Dictionary -- Estimate Activity Duration Process -- Analogous Estimate -- Exercise 6-4 -- Parametric Estimates -- Exercise 6-5 -- Three-Point Estimates -- Level of Effort -- Decision Making -- Alternatives Analysis -- Exercise 6-6 -- Reserve Analysis -- Develop Schedule Process -- Schedule Network Analysis -- Critical Path Method -- Resource Optimization Techniques -- Schedule Compression -- Project Schedule. Schedule Baseline -- Control Schedule Process -- Data Analysis -- Exercise 6-7 -- Sample CAPM Exam Questions on Schedule Management -- Answers and References for Sample CAPM Exam Questions on Schedule Management -- Answers to Exercises -- Chapter 7: Cost -- Cost Management -- Knowledge Area Processes -- Key Definitions -- Plan Cost Management Process -- Expert Judgment, Meetings, and Data Analysis -- Data Analysis -- Estimate Costs Process -- Analogous Estimates -- Parametric Estimates -- Three-Point Estimating -- Bottom-Up Estimates -- Exercise 7-1 -- Reserve Analysis -- Cost of Quality -- Decision Making -- Determine Budget Process -- Cost Aggregation -- Reserve Analysis -- Historical Information Review -- Funding Limit Reconciliation -- Exercise 7-2 -- Control Costs Process -- Earned Value Analysis -- Exercise 7-3 -- Exercise 7-4 -- Exercise 7-5 -- Forecasting -- Exercise 7-6 -- To Complete Performance Index (TCPI) -- Other Data Analysis Techniques -- Reserve Analysis -- Sample CAPM Exam Questions on Cost Management -- Answers and References for Sample CAPM Exam Questions on Cost Management -- Answers to Exercises -- Chapter 8: Quality -- Quality Management -- Knowledge Area Processes -- Key Definitions -- Plan Quality Management Process -- Quality vs. Grade -- Cost of Quality -- Exercise 8-1 -- Cost-Benefit Analysis -- Benchmarking and Decision Making -- Data Representation Tools -- Exercise 8-2 -- Testing and Inspection Plan -- Manage Quality Process -- Data Analysis Tools -- Quality Audits -- Identify Quality Improvement Opportunities -- Control Quality Process -- Exercise 8-3 -- Data Gathering Techniques -- Inspection -- Data Analysis and Evaluations -- Control Charts -- Exercise 8-4 -- Sample CAPM Exam Questions on Quality Management -- Answers and References for Sample CAPM Exam Questions on Quality Management -- Answers to Exercises. Chapter 9: Resources -- Resource Management -- Knowledge Area Processes -- Key Definitions -- Plan Resource Management Process -- Team Charter -- Hierarchical Charts -- Organizational Theory -- Expert Judgment -- Exercise 9-1 -- Estimate Activity Resources Process -- Alternatives Analysis -- Bottom-Up Estimating -- Expert Judgment -- Resource Breakdown Structure -- Acquire Resources Process -- Pre-assignment -- Negotiation -- Exercise 9-2 -- Virtual Teams -- Resource Calendars and Project Staff Assignments -- Develop Team Process -- Interpersonal Skills for Developing a Team -- Team Building -- Colocation and Virtual Teams -- Training -- Recognition and Rewards -- Exercise 9-3 -- Communication Technology -- Individual and Team Assessments -- Manage Team Process -- Conflict Management -- Ways to Manage Conflict -- Other Interpersonal Skills for Managing a Team -- Exercise 9-4 -- Control Resources Process -- Issue Log -- Problem Solving and Project Performance Appraisals -- Sample CAPM Exam Questions on Resource Management -- Answers and References for Sample CAPM Exam Questions on Resource Management -- Answers to Exercises -- Chapter 10: Communication -- Communications Management -- Knowledge Area Processes -- Key Definitions -- Plan Communications Management Process -- Communication Requirements Analysis -- Communication Channels -- Communication Technology -- Communication Models -- Communication Methods -- Interpersonal Team Skills -- Meetings -- Exercise 10-1 -- Manage Communications Process -- Communication Technology -- Communication Methods -- Project Reporting -- Communication Skills and Meetings -- Interpersonal and Team Skills -- Monitor Communications Process -- Project Information Management Systems -- Expert Judgment and Interpersonal Skills -- Data Analysis -- Meetings -- Sample CAPM Exam Questions on Communications Management. Answers and References for Sample CAPM Exam Questions on Communications Management. EBL201910 Information Transfer and Management SzGeCERN EBL Project management-Examinations-Study guides EBL Project management-Examinations, questions, etc BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5762184 ebook n 201944 201910 21 PUBLIC https://catalogue.library.cern/legacy/2698084 BOOK MIGRATED 2698077 SzGeCERN 20210421201757.0 9783662530719 electronic version electronic version 9783662530696 print version oai:cds.cern.ch:2698077 cerncds:BOOK EBL 5490811 eng TJ165TJ807-830QD551- 621.312424 Korthauer, Reiner Lithium-ion batteries basics and applications Berlin Springer 2018 417 p ebook Intro -- Foreword -- Preface -- Contents -- List of Authors -- Part I Electrochemical Storage Systems - An Overview -- 1 Overview of battery systems -- 1.1 Introduction -- 1.2 Primary systems -- 1.3 Secondary systems -- 1.4 Outlook -- Bibliography -- Part II Lithium-ion Batteries - Materials and Components -- 2 Lithium-ion battery overview -- 2.1 Introduction -- 2.2 Applications -- 2.3 Components, functions, and advantages of lithium-ion batteries -- 2.4 Charging procedures -- 2.5 Definitions (capacity, electric energy, power, and efficiency) -- 2.6 Safety of lithium-ion batteries -- 2.7 Lifetime -- Bibliography -- 3 Materials and function -- 3.1 Introduction -- 3.2 Traditional electrode materials -- 3.3 Traditional inactive materials -- 3.4 Alternatives for standard electrode materials -- 3.5 Alternatives for standard inactive materials -- 3.6 Outlook -- Bibliography -- 4 Cathode materials for lithium-ion batteries -- 4.1 Introduction -- 4.2 Oxides with a layered structure (layered oxides, LiMO2 -- M = Co, Ni, Mn, Al) -- 4.3 Spinel (LiM2O4 -- M = Mn, Ni) -- 4.4 Phosphate (LiMPO4 -- M = Fe, Mn, Co, Ni) -- 4.5 Comparison of cathode materials -- Bibliography -- 5 Anode materials for lithium-ion batteries -- 5.1 Anode active materials - introduction -- 5.2 Production and structure of amorphous carbons and graphite -- 5.3 Lithium intercalation in graphite and amorphous carbons -- 5.4 Production and electrochemical characteristics of C/Si or C/Sn components -- 5.5 Lithium titanate as anode material -- 5.6 Anode active materials - outlook -- 5.7 Copper as conductor at the negative electrode -- Bibliography -- 6 Electrolytes and conducting salts -- 6.1 Introduction -- 6.2 Electrolyte components -- 6.3 Functional electrolytes -- 6.4 Gel and polymer electrolytes -- 6.5 Electrolyte formulations - customized and distinct -- 6.6 Outlook -- Bibliography. 7 Separators -- 7.1 Introduction -- 7.2 Characteristics of separators -- 7.3 Separator technology -- 7.4 Electric mobility requirement profile of separators -- 7.5 Alternative separator technologies -- 7.6 Outlook -- Bibliography -- 8 Lithium-ion battery system design -- 8.1 Introduction -- 8.2 Battery system design -- 8.3 Functional levels of battery systems -- 8.4 System architecture -- 8.5 Electrical control architecture -- 8.6 Electric vehicle geometrical installation and operation -- Bibliography -- 9 Lithium-ion cell -- 9.1 Introduction -- 9.2 History of battery systems -- 9.3 Active cell materials for lithium-ion cells -- 9.4 Passive cell materials for lithium-ion cells -- 9.5 Housing and types of packaging -- 9.6 Worldwide market shares of lithium-ion cell manufacturers -- 9.7 Inner structure of lithium-ion cells -- 9.8 Lithium-ion cell production -- 9.9 Requirements on lithium-ion cells -- 9.10 Outlook -- Bibliography -- 10 Sealing and elastomer components for lithium battery systems -- 10.1 Introduction -- 10.2 Cell sealing components -- 10.3 Battery system sealing components -- Bibliography -- 11 Sensor and measuring technology -- 11.1 Introduction -- 11.2 Galvanically isolated current sensor technology in battery management systems -- 11.3 Outlook -- Bibliography -- 12 Relays, contactors, cables, and connectors -- 12.1 Introduction -- 12.2 Main functions of relays and contactors in the electrical power train -- 12.3 Practical applications -- 12.4 Design examples -- 12.5 Future contactor developments -- 12.6 Lithium-ion battery wiring -- 12.7 Cable requirements -- 12.8 Wiring cables -- 12.9 Future cable developments -- 12.10 Connectors and terminals -- 12.11 Product requirements -- 12.12 High-voltage connectors and screwed-in terminals -- 12.13 Charging sockets -- 12.14 Future connector and terminal developments -- Bibliography. 13 Battery thermal management -- 13.1 Introduction -- 13.2 Requirements -- 13.3 Cell types and temperature balancing methods -- 13.4 Outlook -- 14 Battery management system -- 14.1 Introduction -- 14.2 Battery management system tasks -- 14.3 Battery management system components -- 14.4 Cell supervision and charge equalization -- 14.5 Charge equalization -- 14.6 Internal battery communication bus -- 14.7 Battery control unit -- 15 Software -- 15.1 Introduction -- 15.2 Software development challenges -- 15.3 AUTOSAR - a standardized interface -- 15.4 Quick and cost-efficient model-based development -- 15.5 Requirements engineering -- 15.6 An example of requirements engineering -- 15.7 Outlook -- 16 Next generation technologies -- 16.1 Introduction -- 16.2 The lithium-sulfur battery -- 16.3 The lithium-air battery -- 16.4 Challenges when using metallic lithium in the anode -- 16.5 All-solid state batteries -- 16.6 Outlook -- Bibliography -- Part III Battery Production - Resources and Processes -- 17 Lithium-ion cell and battery production processes -- 17.1 Introduction -- 17.2 Battery cell production processes and design rules -- 17.3 Advantages and disadvantages of different cell designs -- 17.4 Battery pack assembly -- 17.5 Technological challenges of the production process -- Bibliography -- 18 Facilities of a lithium-ion battery production plant -- 18.1 Introduction -- 18.2 Manufacturing process and requirements -- 18.3 Environmental conditions in the production area -- 18.4 Dry room technology -- 18.5 Media supply and energy management -- 18.6 Area planning and building logistics -- 18.7 Outlook and challenges -- Bibliography -- 19 Production test procedures -- 19.1 Introduction -- 19.2 Test procedures during coating -- 19.3 Test procedures during cell assembly -- 19.4 Electrolyte dosing -- 19.5 Forming -- 19.6 Final inspection after ripening. 19.7 Reference sample monitoring -- Bibliography -- Part IV Interdisciplinary Subjects - From Safety to Recycling -- 20 Areas of activity on the fringe of lithium-ion battery development, production, and recycling -- 21 Occupational health and safety during development and usage of lithium-ion batteries -- 21.1 Introduction -- 21.2 Occupational health and safety during the battery life cycle -- 21.3 Company-specific occupational health and safety -- 21.4 Outlook -- Bibliography -- 22 Chemical safety -- 22.1 Introduction -- 22.2 Electrolyte -- 22.3 Anode -- 22.4 Cathode -- 22.5 Other components -- Bibliography -- 23 Electrical safety -- 23.1 Introduction -- 23.2 Electrical safety of lithium-ion batteries -- 23.3 Outlook -- 24 Functional safety in vehicles -- 24.1 Introduction -- 24.2 Functional safety overview -- 24.3 Functional safety management -- 24.4 Safety of electric mobility -- 24.5 Practical application -- 24.6 Outlook -- Bibliography -- 25 Functional and safety tests for lithium-ion batteries -- 25.1 Introduction -- 25.2 Using EUCAR hazard levels for the test facility -- 25.3 Functions and modules for battery testing -- 25.4 Battery testing system examples -- 25.5 Outlook -- Bibliography -- 26 Transportation of lithium batteries and lithium-ion batteries -- 26.1 Introduction -- 26.2 Transportation of lithium batteries and lithium cells -- Bibliography -- 27 Lithium-ion battery recycling -- 27.1 Introduction and overview -- 27.2 Lithium-ion battery recycling -- 27.3 Outlook -- Bibliography -- 28 Vocational education and training of skilled personnel for battery system manufacturing -- 28.1 Introduction -- 28.2 Qualified staff - versatile production -- 28.3 Innovative recruitment of new employees and skilled workers in the metal-working and electrical industry -- 28.4 Integrated production technology qualification concept. 28.5 Process-oriented qualification -- 28.6 On-the-job learning -- Bibliography -- 29 Standards for the safety and performance of lithium-ion batteries -- 29.1 Introduction -- 29.2 Standards organizations -- 29.3 Standardization process -- 29.4 Battery standards application -- 29.5 Current standardization projects and proposals for lithium-ion batteries -- 29.6 Standards list -- 29.7 Outlook -- 30 Fields of application for lithium-ion batteries -- 30.1 Stationary applications -- 30.2 Technical requirements for stationary systems -- 30.3 Automotive applications -- 30.4 Technical requirements for automotive applications -- 30.5 Further applications -- Bibliography -- Part V Battery Applications - Sectors and Requirements -- 31 Requirements for batteries used in electric mobility applications -- 31.1 Introduction -- 31.2 Requirements for vehicle and drive concepts -- 31.3 Vehicle and battery concept applications -- 31.4 Battery requirements -- 31.5 Outlook -- 32 Requirements for stationary application batteries -- 32.1 Introduction -- 32.2 Requirements for industrial energy storage systems -- 32.3 Lithium-ion cells for stationary storage -- 32.4 Cathode materials for stationary lithium energy storage systems -- 32.5 Trends in cathode material technology -- 32.6 Trends in anode material technology -- 32.7 The system lithium iron phosphate (LFP)/lithium titanate (LTO) -- 32.8 The complete energy storage system -- 32.9 Examples of new applications -- 32.10 Stationary industrial storage systems -- 32.11 Existing industrial storage systems -- 32.12 Outlook -- Bibliography -- 33 Correction to: Next generation technologies -- Index. EBL201910 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5490811 ebook n 201944 201910 21 PUBLIC https://catalogue.library.cern/legacy/2698077 BOOK MIGRATED 2698074 SzGeCERN 20210421201758.0 9783319658261 electronic version electronic version 9783319658247 print version oai:cds.cern.ch:2698074 cerncds:BOOK EBL 5471952 eng QA75.5-76.95Q334-342 004 Stepney, Susan Computational matter Cham Springer 2018 335 p ebook Natural computing series Intro -- Contents -- List of Contributors -- Chapter 1 Introduction -- 1.1 Historical background -- 1.2 Scope and content of the book -- 1.2.1 Roadmap: Mapping the UCOMP territory -- 1.2.2 Delving into UCOMP concepts -- Acknowledgements -- References -- Part I Mapping the UCOMP Territory -- Chapter 2 UCOMP Roadmap: Survey, Challenges, Recommendations -- 2.1 The EU TRUCE project roadmap -- 2.2 An atlas, not a roadmap -- 2.3 Hardware-UCOMP and software-UCOMP -- 2.3.1 hw-UCOMP: unconventional substrates -- 2.3.1.1 Engineering -- 2.3.1.2 Physics -- 2.3.1.3 Chemistry -- 2.3.1.4 Biochemistry -- 2.3.1.5 Biology -- 2.3.1.6 Hybrid systems that combine/compose more than one substrate -- 2.3.1.7 Other -- 2.3.2 sw-UCOMP: unconventional models -- 2.3.3 Full UCOMP: unconventional models in unconventional substrates -- 2.3.4 Simulating UCOMP -- 2.4 Eight aspects of UCOMP -- 2.4.1 Speed -- 2.4.2 Resource -- 2.4.3 Quality -- 2.4.4 Embeddedness -- 2.4.5 Programmability -- 2.4.6 Formalism -- 2.4.7 Applications -- 2.4.8 Philosophy -- 2.5 Challenges in UCOMP -- 2.5.1 Hardware: design and manufacture -- 2.5.2 Software: theory and programming -- 2.5.3 Use: applications and deployment -- 2.5.4 Summary of challenges -- 2.6 Next Steps -- 2.7 Recommendations -- References -- Chapter 3 In Materio Computation Using Carbon Nanotubes -- 3.1 Overview -- 3.1.1 In materio computing -- 3.1.2 Carbon nanotubes -- 3.2 Contribution to UCOMP aspects -- 3.2.1 Speed -- 3.2.2 Resources -- 3.2.3 Quality -- 3.2.4 Embeddedness -- 3.2.5 Formalism -- 3.2.6 Programming -- 3.2.7 Applications -- 3.2.8 Philosophy -- 3.3 Main achievements so far -- 3.4 What could be achieved in ten years? -- 3.5 Current challenges -- 3.5.1 Substrate -- 3.5.2 Environmental effects, and the coherence problem -- 3.6 Outlook and recommendations -- References. Chapter 4 Computing by Non-linear Optical Molecular Response -- 4.1 Introduction -- 4.2 Overview -- 4.2.1 Non-linear optical molecular response -- 4.2.2 Logic implementations -- 4.3 Contribution to UCOMP aspects -- 4.3.1 Speed -- 4.3.2 Resources -- 4.3.3 Quality -- 4.3.4 Embeddedness -- 4.3.5 Formalism -- 4.3.6 Programming -- 4.3.7 Applications -- 4.3.8 Philosophy -- 4.4 Main achievements so far -- 4.5 What could be achieved in ten years -- 4.6 Current challenges -- References -- Chapter 5 Bioinspired Computing with Synaptic Elements -- 5.1 Overview -- 5.2 Information processing with memristor networks -- 5.2.1 Stateful logic -- 5.2.2 Neuromorphic networks -- 5.2.3 Spiking neuromorphic networks -- 5.2.4 Reservoir computing -- 5.2.5 On the computational power of memristor-based synaptic networks -- 5.3 Contribution to UCOMP aspects -- 5.3.1 Stateful logic -- 5.3.2 Neuromorphic spiking networks -- 5.4 Main achievements so far -- 5.4.1 Synapses in software -- 5.4.2 Synapses in CMOS hardware -- 5.4.3 Synapses in memristor hardware -- 5.4.4 Memristor/CMOS hybrids -- 5.4.5 Self-assembled memristor networks -- 5.4.6 Commercial memristor-based computing efforts -- 5.4.7 Quantum networks -- 5.5 What could be achieved in ten years? -- 5.5.1 Scalable solid-state technologies -- 5.5.2 Solid-state-organic technologies -- 5.5.3 Self-assembled memristor networks -- 5.5.4 Quantum networks -- 5.6 Current challenges -- 5.6.1 Scalable solid-state technologies -- 5.6.2 Solid-state-organic technologies -- 5.6.3 Self-assembled networks -- 5.6.4 Quantum networks -- 5.7 Outlook and recommendations -- Acknowledgement -- References -- Chapter 6 Microscopic Chemically Reactive Electronic Agents -- 6.1 Overview -- 6.2 Contribution to UCOMP aspects -- 6.2.1 Speed -- 6.2.2 Resources -- 6.2.3 Quality -- 6.2.4 Embeddedness -- 6.2.5 Formalism -- 6.2.6 Programming. 6.2.7 Applications -- 6.2.8 Philosophy -- 6.3 Main achievements so far -- 6.4 What could be achieved in ten years? -- 6.5 Current challenges -- 6.5.1 Manufacturing -- 6.5.2 Lablet power -- 6.5.3 Buoyancy, locomotion and reversible self-assembly -- 6.5.4 Information encoding for chemical functionality -- 6.6 Outlook and recommendations -- Acknowledgements -- References -- Chapter 7 Cellular Computing and Synthetic Biology -- 7.1 Overview -- 7.2 Contribution to UCOMP aspects -- 7.2.1 Speed -- 7.2.2 Resources -- 7.2.3 Quality -- 7.2.4 Embeddedness -- 7.2.5 Formalism -- 7.2.6 Programming -- 7.2.7 Applications -- 7.2.8 Philosophy -- 7.3 Main achievements so far -- 7.4 What could be achieved in ten years? -- 7.5 Current challenges -- 7.6 Outlook and recommendations -- References -- Chapter 8 PhyChip: Growing Computers withSlime Mould -- 8.1 Overview -- 8.1.1 Why slime mould computers? -- 8.1.2 Concept -- 8.2 Contribution to UCOMP aspects: critical analysis -- 8.2.1 Speed -- 8.2.2 Resource: space -- 8.2.3 Quality: accuracy -- 8.2.4 Embeddeness: modularity and interconnections -- 8.2.5 Programmability -- 8.2.6 Time scales and energy -- 8.2.7 Anticipated computer interface with Physarum -- 8.2.8 Formalism -- 8.2.9 Philosophy -- 8.3 Main achievements so far -- 8.3.1 Computing with living raw Physarum -- 8.3.2 Building hybrid devices -- 8.3.3 Verification of computational tasks -- 8.3.4 Solving computational problems -- 8.3.5 Nonsymbolic interfaces -- 8.4 Current challenges -- 8.4.1 Keeping slime mould alive -- 8.4.2 Making a cyborg -- 8.4.3 Fast prototyping -- 8.4.4 Solving hard computational tasks -- 8.4.5 Moving to nano-scale and quantum -- 8.5 Outlook and recommendations -- References -- Chapter 9 Decoding Genomic Information -- 9.1 Introduction -- 9.2 Overview -- 9.2.1 Dictionary based indexes -- 9.2.2 Genomic distributions. 9.3 Contribution to UCOMP aspects -- 9.3.1 Speed -- 9.3.2 Resource(s) -- 9.3.3 Quality -- 9.3.4 Embeddedness -- 9.3.5 Programmability -- 9.3.6 Formalism -- 9.3.7 Applications -- 9.3.8 Philosophy -- 9.3.9 Scaling up -- 9.4 Main achievements so far -- 9.5 Current challenges -- 9.6 What could be achieved in ten years -- References -- Part II Delving into UCOMP Concepts -- Chapter 10 Philosophy of Computation -- 10.1 Introduction -- 10.2 Philosophy of digital computation -- 10.2.1 Turing machines -- 10.2.2 The basic version of a Turing machine -- 10.2.3 The Church-Turing thesis -- 10.2.4 Decision problems and (un)decidability -- 10.3 Why rocks do not compute -- 10.3.1 Powerful computation with minimal equipment -- 10.3.1.1 Finding the right balance -- 10.3.1.2 The mathematics of balances -- 10.3.1.3 The case of a rock -- 10.3.2 Abstraction/representation theory -- 10.4 On the requisite variety of physical systems -- 10.4.1 Variety -- 10.4.2 Law of requisite variety -- 10.4.3 Insufficient variety of physical systems -- 10.4.4 Variety as complexity, new computational models? -- 10.5 On the ontology of number and state -- 10.5.1 Motivation -- 10.5.2 Interaction computing -- 10.5.3 Algebraic automata theory -- 10.6 Interaction and dynamically deployable computational structure in ensembles -- 10.6.1 Growing and changing computational structures -- 10.6.2 Ensembles -- 10.6.3 Recurrence and differentiation -- 10.7 Conclusions -- References -- Chapter 11 Computability and Complexity of Unconventional Computing Devices -- 11.1 Introduction -- 11.2 Computational problems and problem solving -- 11.2.1 Difficulty -- 11.2.2 Decision, optimisation, and counting problems -- 11.2.3 Terminology -- 11.3 A brief review of CCOMP computability -- 11.3.1 Undecidable problems, uncomputable functions -- 11.3.2 Oracles and advice -- 11.3.3 Church-Turing thesis. 11.4 Hypercomputation -- 11.4.1 Undecidable problems determined physically? -- 11.4.2 Accelerated Turing Machines -- 11.4.3 General relativistic machines -- 11.4.4 Real number computation -- 11.4.5 Using oracles, taking advice -- 11.4.6 Conclusion -- 11.5 A brief review of CCOMP complexity -- 11.5.1 Measuring complexity -- 11.5.2 Easy, polynomial time problems -- 11.5.3 Hard, exponential time problems -- 11.5.4 Complexity classes P and NP -- 11.5.5 NP-complete problems -- 11.5.6 NP-hard problems -- 11.5.7 Other classic complexity classes: PSP ACE and BPP -- 11.5.8 Quantum complexity classes -- 11.5.9 Complexity with advice: P/poly and P/log -- 11.5.10 Extended Church-Turing thesis -- 11.5.11 Physical oracles and advice -- 11.5.12 Complexity as a worst case property -- 11.5.13 Solving hard problems in practice -- 11.5.14 No Free Lunch theorem -- 11.6 Quantum information processing -- 11.6.1 Digital quantum computation -- 11.6.2 Quantum simulation -- 11.6.3 Adiabatic quantum optimisation (AQO) -- 11.6.4 Quantum annealing (QA) -- 11.6.5 Quantum machine learning (QML) -- 11.7 Computational power of classical physical systems and unconventional paradigms -- 11.7.1 DNA computing -- 11.7.2 Networks of evolutionary processors -- 11.7.3 Evolution in materio -- 11.7.4 Optical computing -- 11.7.5 MEM-computing -- 11.7.6 Brain computing -- 11.7.7 Conclusion -- 11.8 Overall conclusions and perspectives -- Acknowledgements -- References -- Chapter 12 Encoding and Representation of Information Processing in Irregular Computational Matter -- 12.1 Introduction -- 12.2 Digital and analogue encodings -- 12.3 Encoding information in evolving material systems -- 12.4 Biological information encoding and the evolution of a translation apparatus -- 12.5 Information encoding and translation in electronic-chemical systems -- 12.5.1 Key concept: electronic genomes. 12.5.2 Interfacing electronic and chemical systems: micro/nano electrodes and alternatives (e.g.light). EBL201910 SzGeCERN Computing and Computers BOOK Rasmussen, Steen Amos, Martyn https://cds.cern.ch/auth.py?r=EBLIB_P_5471952 ebook 201910 n 201944 21 PUBLIC https://catalogue.library.cern/legacy/2698074 BOOK MIGRATED 2698069 SzGeCERN 20210421201758.0 9783319948904 electronic version electronic version 9783319948898 print version oai:cds.cern.ch:2698069 cerncds:BOOK EBL 5452415 eng TK5105.5-5105.9QA76. 004.6782 Mahmood, Zaigham Fog computing concepts, frameworks and technologies Cham Springer 2018 301 p ebook Intro -- Preface -- Overview -- Objectives -- Organization -- Target Audiences -- Acknowledgements -- Other Springer Books by Zaigham Mahmood -- Data Science and Big Data Computing: Frameworks and Methodologies -- Connected Environments for the IoT: Challenges and Solutions -- Connectivity Frameworks for Smart Devices: The Internet of Things from a Distributed Computing Perspective -- Smart Cities: Development and Governance Frameworks -- Software Engineering Frameworks for the Cloud Computing Paradigm -- Cloud Computing: Methods and Practical Approaches -- Cloud Computing: Challenges, Limitations and R&D Solutions -- Continued Rise of the Cloud: Advances and Trends in Cloud Computing -- Cloud Computing for Enterprise Architectures -- Software Project Management for Distributed Computing: Life-Cycle Methods for Developing Scalable and Reliable Tools -- Requirements Engineering for Service and Cloud Computing -- User Centric E-government: Challenges and Opportunities -- Contents -- Editor and Contributors -- About the Editor -- Concepts and Principles -- 1 Fog Computing: Concepts, Principles and Related Paradigms -- Abstract -- 1.1 Introduction -- 1.2 Fog Computing -- 1.2.1 Fog Computing Issues -- 1.2.1.1 Security and Privacy -- 1.2.1.2 Fog Network Topology and Location Awareness of Nodes -- 1.2.1.3 Resource Management -- 1.2.1.4 Interoperability -- 1.2.1.5 Other Issues -- 1.3 Cloud Paradigm Versus Fog Computing -- 1.3.1 Cloud Computing -- 1.3.2 Cloud Versus Fog Computing Comparison -- 1.4 Fog Computing Versus Edge Computing -- 1.5 Fog Computing Reference Architecture -- 1.6 Fog Computing Application Scenarios -- 1.7 Future of Fog Computing -- 1.8 Conclusion -- References -- 2 Fog Computing in the IoT Environment: Principles, Features, and Models -- Abstract -- 2.1 Introduction -- 2.2 Literature Review-Analysis -- 2.2.1 Methodology. 2.2.2 Literature Analysis Using Web of Science -- 2.2.3 Patent Analysis Using Relecura Software -- 2.3 Principles -- 2.3.1 Characteristics -- 2.3.2 Concepts -- 2.4 Models/Architectures -- 2.4.1 A Generic Fog Computing Architecture -- 2.4.2 Fog Computing Environmental Model -- 2.4.3 A Fog Computing Architecture by Joud Khattab [21] -- 2.4.4 Fog Computing Tree Model -- 2.5 Conclusion -- References -- 3 Dichotomy of Fog Computing in the Realm of Cloud Computing: Exploring the Emerging Dimensions -- Abstract -- 3.1 Introduction -- 3.2 Key Tenets of Cloud Computing -- 3.3 Cloud Versus Fog Computing -- 3.4 Promise of Cloud and Fog Computing -- 3.5 Platform Design in Cloud and Fog Computing -- 3.6 Issues in Cloud and Fog Computing -- 3.7 Legal Dimensions of Cloud and Fog Computing -- 3.8 Realisation of Cloud and Fog Computing in Africa -- 3.9 Conclusion -- References -- 4 Fog Computing in a Developing World Context: Jumping on the Bandwagon -- Abstract -- 4.1 Introduction -- 4.2 Fog Computing -- 4.3 Characteristics of Fog Computing -- 4.3.1 Improved Quality of Service -- 4.3.2 Reduction in Latency -- 4.3.3 Support for Mobility -- 4.3.4 Enhanced Heterogeneity -- 4.4 Factors Affecting the Adoption of Fog Computing -- 4.4.1 Security of the Environment -- 4.4.2 Connectivity with Respect to Access to Data -- 4.4.3 Governance and Support -- 4.5 Technology Adoption Theories -- 4.6 Fog Computing Measurement Constructs -- 4.6.1 Organisational Factors -- 4.6.1.1 Top Management Support -- 4.6.1.2 Skills and Training -- 4.6.2 Technological Factors -- 4.6.2.1 Reduced Complexity and Ease of Use -- 4.6.2.2 Infrastructure, Connectivity and Availability -- 4.6.2.3 Security and Privacy -- 4.6.3 Environmental Factors -- 4.6.3.1 Government Legislation and Policies -- 4.6.3.2 Competitive Pressures -- 4.6.3.3 Location -- 4.7 Conclusions -- References. Frameworks and Technologies -- 5 Analyzing IoT, Fog and Cloud Environments Using Real Sensor Data -- Abstract -- 5.1 Introduction -- 5.2 Related Works -- 5.3 Analyzing Sensor Data Formats in the Context of Smart Cities -- 5.3.1 Sensor Data in the SmartME Project -- 5.3.2 Sensor Data in the CityPulse Project -- 5.3.3 Sensor Data in the Smart City of Surrey in Canada -- 5.4 Filtered Datasets for Experimenting with IoT-Fog-Cloud Environments -- 5.5 Conclusion -- Acknowledgements -- References -- 6 Performance Enhancement of Fog Computing Using SDN and NFV Technologies -- Abstract -- 6.1 Introduction -- 6.2 The Paradigm of Fog/Edge Computing -- 6.3 Defining Fog Computing -- 6.4 What Are Fog&#xa0;Nodes? -- 6.5 Connectivity Technologies -- 6.6 Structure and Behaviour of Fog Computing -- 6.7 Analytic and Performance Parameters for Fog/Edge Nodes -- 6.8 Performance Enhancement Techniques -- 6.8.1 Network Function Virtualization (NFV) -- 6.8.2 Software Defining -- 6.8.3 Hierarchical Models -- 6.9 Fog Computing Use Cases -- 6.10 Summary -- References -- 7 Mechanisms Towards Enhanced Quality of Experience (QoE) in Fog Computing Environments -- Abstract -- 7.1 Introduction -- 7.2 Key Characteristics of Fog Computing -- 7.3 Fog Computing Applications -- 7.3.1 Smart Grids -- 7.3.2 Smart Traffic Lights -- 7.3.3 Self-maintaining Trains -- 7.3.4 Wireless Sensor and Actuator Networks (WSAN) -- 7.3.5 Decentralized Smart Building Control -- 7.3.6 IoT and Cyber-Physical Systems (CPSs) -- 7.3.7 Software-Defined Networks (SDN) -- 7.3.8 Demystifying the Fog Computing Paradigm -- 7.4 Challenges of Fog Environments -- 7.4.1 Need for Quality of Experience (QoE) -- 7.5 5G Technologies and the Fog Architecture -- 7.5.1 Fog Radio Access Network (FRAN) -- 7.5.2 FRAN Architecture -- 7.5.3 Handover Administration in FRAN -- 7.5.4 Caching in Edge Devices. 8 7.6 Network Function Virtualization (NFV) and Software-Defined Networking (SDN) -- 7.7 Challenges of Fog Computing -- 7.8 Future of Fog Computing -- 7.9 Fog Data Analytics and Use Cases -- 7.9.1 IoT Sensor Data Monitoring and Analysis -- 7.9.2 Retail Customer Behaviour Analysis -- 7.9.3 Mobile Data Thinning -- 7.9.4 Compliance Analysis at Financial Branch Locations -- 7.9.5 Remote Monitoring and Analysis of Oil and Gas Operations -- 7.10 Conclusion -- References -- 8 Specifying Software Services for Fog Computing Architectures Using Recursive Model Transformations -- Abstract -- 8.1 Introduction -- 8.2 Background -- 8.2.1 Review of Fog Computing Architectures and Modeling -- 8.2.2 Cloud- and Fog-Related Imperatives of UH4SP -- 8.3 Overview of Service Specification Approach -- 8.4 From Software System Logical Architecture Design to Services' Identification -- 8.4.1 Designing the Software System Logical Architectural View -- 8.4.2 Defining Cloud/Fog Applications and IoT Layers Within the Architecture -- 8.5 Software Microservice Design for Fog Computing Architectures -- 8.5.1 Specifying Services for the Fog Environment Using 4SRS -- 8.5.2 Representation Using SoaML Diagrams -- 8.6 UH4SP Fog Scenarios and System Overview -- 8.6.1 Remote Check-In -- 8.6.2 Remote Plant Business Analysis -- 8.6.3 Remote Equipment Monitoring -- 8.6.4 Discussion on the Overall System -- 8.7 Conclusion -- Acknowledgements -- References -- 9 A Data Utility Model for Data-Intensive Applications in Fog Computing Environments -- Abstract -- 9.1 Introduction -- 9.2 Related Work -- 9.3 Running Example -- 9.4 A Model for Data-Intensive Applications in Fog Environment -- 9.4.1 Resources -- 9.4.2 Data Source -- 9.4.3 Tasks -- 9.5 Data Utility in Fog Computing Environments -- 9.5.1 Usage Context -- 9.5.2 Data Utility -- 9.6 Data Life cycle -- 9.7 Using the Data Utility Model. 8 9.8 Concluding Remarks -- Acknowledgements -- References -- Advanced Topics and Future Directions -- 10 Context-Aware Intelligent Systems for Fog Computing Environments for Cyber-Threat Intelligence -- Abstract -- 10.1 Introduction -- 10.2 Cloud, Fog, and Edge Computing Paradigms -- 10.3 Cyber-Threat Intelligence (CTI) -- 10.3.1 Open-Source Intelligence (OSINT) -- 10.3.2 Social Media Intelligence (SOCMINT) -- 10.3.3 Technical Intelligence (TECHINT) -- 10.3.4 Measurement and Signature Intelligence (MASINT) -- 10.3.5 Human Intelligence (HUMINT) -- 10.4 Using Fog/Edge Computing for Context-Aware Intelligence -- 10.5 Conclusion -- References -- 11 SEF-SCC: Software Engineering Framework for Service and Cloud Computing -- Abstract -- 11.1 Introduction -- 11.2 Service and Cloud Computing Paradigms -- 11.2.1 SE for Cloud Computing Versus Cloud SE -- 11.3 Software Engineering Framework for Service and Cloud Computing (SEF-SCC) -- 11.3.1 SEF-SCC Process: Business Process-Driven Service Development Lifecycle (BPD-SDL) -- 11.3.2 SEF-SCC Design: Service Component-Based Design Method with SoaML and SOA-Based Reference Architecture -- 11.3.3 SEF-SCC SOA-Based Reference Architecture -- 11.3.4 Autonomic CASE Tool for Service Computing -- 11.4 SEF-SCC Framework Evaluation Case Study on BEPET and SEF-SCC Applications -- 11.5 Conclusion -- References -- 12 Data and Computation Movement in Fog Environments: The DITAS Approach -- Abstract -- 12.1 Introduction -- 12.2 Data-Intensive Applications in Fog Computing -- 12.2.1 Data Provisioning -- 12.2.2 Data Consumption -- 12.3 DITAS Approach -- 12.3.1 Design and Development Phase -- 12.3.2 Execution Phase -- 12.4 Data and Computation Movement in Fog Environments -- 12.5 Related Work -- 12.6 Concluding Remarks -- References -- 13 Toward Edge-based Caching in Software-defined Heterogeneous Vehicular Networks -- Abstract. 8 13.1 Introduction. EBL201910 Computing and Computers SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5452415 ebook n 201944 201910 21 PUBLIC https://catalogue.library.cern/legacy/2698069 BOOK MIGRATED 2698010 SzGeCERN 20210421201807.0 9783319585338 electronic version electronic version 9783319585321 print version oai:cds.cern.ch:2698010 cerncds:BOOK EBL 5379759 eng HB1-846.8HD87-87.55H 003.35369 Perali, Federico The new generation of computable general equilibrium models modeling the economy Cham Springer 2018 343 p ebook Intro -- Preface -- Contents -- Introduction -- General Equilibrium Modelling: The Integration of Policy and Project Analysis -- 1 Introduction -- 2 Project Evaluation as a New Frontier for Modelling -- 3 Some General Equilibrium Concepts -- 4 The "Closures" -- 5 The New Frontier of the CGE Models -- 5.1 General Equilibrium as a Model Foundation -- 5.2 From Partial to General Equilibrium -- 5.3 A Simple Generalization of a CGE Structure: The Differential Model -- 5.4 An Exactly Aggregable Micro-Macro Link -- 5.5 A Fully Integrated Micro-Macro Modelling Approach -- 6 Conclusions -- References -- Methodology and Estimation Issues -- Demand-Driven Structural Change in Applied General Equilibrium Models -- 1 Introduction -- 2 Long-Run Changes in Consumption Patterns -- 3 Estimation of an AIDADS Demand System -- 4 Introducing a Flexible Demand System into a Dynamic CGE Model -- 5 Conclusions -- References -- Micro-Macro Simulation of Corporate Tax Reforms -- 1 Introduction -- 2 Microsimulation Modelling for Policy Analysis at the Firm Level -- 3 The ISTAT-MATIS Corporate Tax Model -- 4 The Distributional Effects of Introducing an ACE-Type Regime -- 5 Concluding Remarks -- References -- Estimating an Energy-Social Accounting Matrix for Italy -- 1 Introduction -- 2 The Economic Classification of the Italian Energy System -- 3 The Social Accounting Matrix -- 3.1 The SAM Estimation Procedure -- 3.2 The National Energy Balance -- 3.3 The Economic Classification of the National Energy Balance -- 3.4 Disaggregation of the SAM -- 3.5 SAM Disaggregation Based on the Pseudo-Wolsky Algorithm -- 4 A Case Study: The Development of the Upstream Sector in Italy -- References -- Analysis of Local Economic Impacts Using a Village Social Accounting Matrix: The Case of Oaxaca -- 1 Introduction -- 2 The SAM: Theoretical and Methodological Aspects -- 2.1 The Local SAM. 2.2 Literature Review of Local SAM -- 2.3 A General Framework for Village-SAM Analysis -- 3 The Regional SAM of Oaxaca -- 3.1 Estimating the Oaxaca SAM -- 3.2 Villages Profiles -- 3.3 Survey Descriptive Statistics -- 3.4 Estimating the Village SAM -- 4 Project Description -- 4.1 Short Term Effects on the Oaxaca Region -- 4.2 Impacts on the Local Economy -- 5 Conclusions -- Annex 1: Proposed Estimation Methodology for Village SAM (Scandizzo and Ferrarese 2015) -- References -- Static and Dynamic CGEs and Policy Applications -- A CGE Model for Productivity and Investment in Kenya -- 1 Introduction -- 2 The Kenya's Economy -- 3 The Core CGE Model for Kenya -- 4 Social Accounting Matrix and Computable General Equilibrium for Kenya -- 5 Impact Analysis: Policy Simulations -- 6 Conclusions -- Appendix: Model Specification -- References -- The Political Economy of the CAP Reform in Italy -- 1 Introduction -- 2 The Mid Term Review and the Policy Scenarios -- 3 The General Equilibrium Model and Simulations' Design -- 4 The Political Economy of the CAP Reform in Italy -- 4.1 The Producers' Interests -- 4.2 The General Interest of the Agricultural and Food Industry -- 4.3 The Consumers' Interests -- 4.4 Social Welfare, Income Distribution and the Equity-Efficiency Trade-Off -- 4.5 Social Conflicts and the Distribution of Political Power -- 5 Conclusions -- Appendix -- References -- A CGE Model for Mauritius Ocean Economy -- 1 Introduction -- 2 Building a SAM for the Ocean Economy -- 3 The Base CGE Model -- 4 Key Features of the Dynamic CGE Model -- 5 Calibrating and Testing the Dynamic Model -- 6 Investing in the Ocean Economy -- 7 Conclusions -- References -- A Micro-Macro Simulation Model Applied to the French Economy: The Case of a Euro's Real Depreciation -- 1 Introduction -- 2 The Micro-Macro Model -- 2.1 Introduction -- 2.2 The CGE Model. 2.3 The SYSIFF 2006 Microsimulation Model -- 2.4 Micro and Macro Models' Integration -- 3 Simulation Analysis -- 3.1 Macroeconomic Effects -- 3.2 Microeconomic Results -- 4 Sensitivity Analysis -- 5 Conclusions -- References -- Green and Blue Dividends and Environmental Tax Reform: Dynamic CGE Model -- 1 Introduction -- 2 Dynamic CGE Model Relationships -- 3 Environmental Accounts in a Social Accounting Scheme -- 4 Fiscal Policy Through an Environmental Tax Reform -- 5 Looking for Dividends -- 5.1 Economic Impact of the Environmental Tax Reform -- 5.2 Sensitivity Analysis of the CGE Model Results -- 6 Conclusions -- Appendix 1 -- Appendix 2 -- References -- A Sub-national CGE Model for the European Mediterranean Countries -- 1 Introduction -- 2 Database Development -- 2.1 Splitting the Value Added -- 2.2 The Derivation of Sub-national Demand for Domestic and Imported Goods: Simple Location Quotients (SLQs) -- 2.3 Estimation of Bilateral Trade Flows Between Sub-national Regions -- 3 Changes in the Model Structure -- 3.1 Mobility in Factors Market: The CET Approach -- 3.2 The Trade Structure of the Sub-national Regions: The CRESH Approach -- 4 Testing the Model -- 4.1 Symmetric Shock -- 4.2 Asymmetric Shock -- 5 Conclusions and Further Research -- References -- A Regional Dynamic General Equilibrium Model with Historical Calibration: A Counterfactual Exercise -- 1 Introduction -- 2 Some Distinctive Features of the Valle D'Aosta Economy in Retrospect -- 3 A Dynamic Regional General Equilibrium Model -- 3.1 Data -- 3.2 The Static Specification -- 3.3 The Dynamic Specification -- 3.4 Macro Closure and Unemployment -- 4 Historical Calibration -- 5 Counterfactual Analysis -- 6 Conclusions -- References. EBL201910 Computing and Computers SzGeCERN BOOK Scandizzo, Pasquale Lucio https://cds.cern.ch/auth.py?r=EBLIB_P_5379759 ebook n 201944 201910 21 PUBLIC https://catalogue.library.cern/legacy/2698010 BOOK MIGRATED 2697990 SzGeCERN 20210421201810.0 9783319724041 electronic version electronic version 9783319724034 print version oai:cds.cern.ch:2697990 cerncds:BOOK EBL 5357994 eng TJ807-830TK1-9971QC1 530.41 Kaushika, N D Solar photovoltaics technology, system design, reliability and viability Cham Springer 2018 174 p ebook Intro -- Preface -- Contents -- About the Authors -- Chapter 1: Introduction to Solar Photovoltaic Power -- 1.1 Conventional Power Supplies -- 1.1.1 Gap in Supply and Demand -- 1.1.2 Fuel Security Concerns -- 1.1.3 Environmental Concerns -- 1.1.4 Rising Prices -- 1.2 Power Generation from Renewable Resources -- 1.2.1 Small Hydro -- 1.2.2 Biomass and Waste -- 1.2.3 Ocean Gradient -- 1.2.4 Wind Power -- 1.2.5 Solar Power Conversion Technologies -- 1.2.5.1 Solar Thermal Electric -- 1.2.5.2 Solar Photovoltaics -- Solar Cells and Modules -- Systems and Applications -- 1.2.6 Comparative Study -- 1.3 Scope of the Monograph -- Chapter 2: Solar Radiation Characteristics -- 2.1 The Solar Constant -- 2.2 Solar Spectral Distribution -- 2.3 Atmospheric Effects on Solar Radiation -- 2.4 Solar Radiation Geometry -- 2.5 Solar Radiation Measuring Instruments -- 2.6 Solar Radiation on a Tilted Surface -- 2.7 Estimation of Average Solar Radiation -- Chapter 3: Fundamentals of Photovoltaic Generation: A Review -- 3.1 Introduction -- 3.2 Atomic Bonding -- 3.2.1 Ionic Bonding -- 3.2.2 Metallic Bonding -- 3.2.3 Covalent Bonding -- 3.2.4 Van der Waals Bonding -- 3.3 Crystal Structure -- 3.4 Band Gap Structure of Metal, Semiconductors and Insulators -- 3.4.1 Commonly Used Semiconductor Materials -- 3.4.2 Types of Semiconductors: Doping -- 3.4.3 Drift, Diffusion and Recombination Currents -- 3.5 P-N Junction -- 3.6 P-N Junction Solar Cells -- Chapter 4: Wafer-Based Solar Cells: Materials and Fabrication Technologies -- 4.1 Photoionic Processes in Solar Cells -- 4.2 Solar Cell Materials -- 4.3 Silicon Solar Cell Wafer Technology -- 4.3.1 Sand to Metallurgical Grade Silicon -- 4.3.2 Metallurgical to Semiconductor Grade Silicon -- 4.3.3 Polycrystalline Silicon to Single Crystal Silicon Wafers -- 4.3.4 Fabrication of Silicon Solar Cells -- 4.3.4.1 Diffusion of Phosphorus. 4.3.4.2 Diffusion of Boron -- 4.3.5 Electrical Contacts and Encapsulation -- 4.3.6 Improved Solar Cell Structures and Techniques -- 4.4 Indian Status -- Chapter 5: Mathematical Model of Transport Processes -- 5.1 Physical Model of Solar Cells -- 5.1.1 Excess Carrier Generation: Photo Generation -- 5.1.2 Built-in Field -- 5.2 The Continuity Equation -- 5.3 Solution of Continuity Equation -- 5.4 Piecewise Exponential Computational Scheme -- 5.5 Illustrative Results -- Chapter 6: Electrical Characteristics of Solar Cells -- 6.1 Solar Cell: A Power Source -- 6.2 Equivalent Circuit -- 6.3 Current-Voltage Characteristics -- 6.4 Performance Measurement Procedures -- 6.5 Temperature and Solar Irradiance Effects -- Chapter 7: Solar PV Module and Array Network -- 7.1 Solar PV Module -- 7.2 Mismatch Losses in Array Network -- 7.3 Formulations of Fractional Power Loss in Solar PV Module and Array -- 7.3.1 Solar Cell Model -- 7.3.2 Fractional Power Loss in a Module -- 7.4 Computational Results and Discussion -- Chapter 8: BOS and Electronic Regulations -- 8.1 Balance of System (BOS) -- 8.2 Classification of BOS -- 8.2.1 Mechanical BOS -- 8.2.2 Electrical BOS -- 8.2.3 Electronic BOS -- 8.2.3.1 Energy Conversion Subsystem -- Dc/Dc Converters and MPPTs -- Dc/Ac Inverters -- 8.2.3.2 Energy Control and Management Subsystem -- 8.3 Electronic Regulators -- Chapter 9: Repertoires of Applications -- 9.1 Space Applications -- 9.2 Terrestrial Applications -- 9.3 Cost Effective Applications -- 9.3.1 Solar Photovoltaics for Buildings -- 9.3.1.1 Photovoltaics as Glazing Material -- 9.3.1.2 Solar PV Metal Roofing -- 9.3.2 Concentrating Applications -- 9.4 System Classification -- Chapter 10: Solar Photovoltaic System Design -- 10.1 Solar PV System -- 10.2 System Design Considerations for Particular Location -- 10.2.1 Mathematical Formulations. 10.3 Solar PV Design Aid Expert System -- 10.3.1 Development of Knowledge Base for Indian Region -- 10.4 Web Access to Solar PV Design Aid Expert System -- Chapter 11: System Reliability Considerations -- 11.1 The Reliability -- 11.2 Site Dependence -- 11.3 System Availability -- 11.4 No Sun Days and Storage Autonomy -- 11.5 Power Loss and Hot Spot Effects -- 11.5.1 Manufacturerþs Tolerances in Cell Characteristics -- 11.5.2 Environmental Stresses -- 11.5.3 Shadow Problem -- 11.5.4 Array Operation at Low Voltage -- 11.6 System Reliability Improvements -- Chapter 12: High Performance Solar Cells -- 12.1 Solar Cell Developments -- 12.2 First Generation Solar Cells -- 12.3 Second Generation Solar Cells -- 12.4 Third Generation Solar Cells -- 12.5 Limited Demonstration of Concentrating Solar Photovoltaic -- Chapter 13: Solar PV System Economics -- 13.1 General -- 13.2 System Evaluation -- 13.3 Time Value of the Money -- 13.4 Formulations for Evaluation of Money Value Over Time Span -- 13.4.1 Notations -- 13.4.2 Period -- 13.5 Cost-Benefit Analysis in Engineering Systems/Projects -- 13.5.1 Category I -- 13.5.1.1 Net Present Value (NPV) -- 13.5.1.2 Benefit-Cost (Cost-Benefit Ratio) -- 13.5.1.3 Internal Rate of Return (IRR) -- 13.5.2 Category II -- 13.5.2.1 Mathematical Formulation of Cost-Benefit Analysis -- 13.5.2.2 Problem -- 13.5.2.3 Alternate Expression for Payback Period, N Calculation -- References -- Index. EBL201910 SzGeCERN Engineering EBL Solid state physics BOOK Mishra, Anuradha Rai, Anil K https://cds.cern.ch/auth.py?r=EBLIB_P_5357994 ebook 201910 n 201944 21 PUBLIC https://catalogue.library.cern/legacy/2697990 BOOK MIGRATED 2697986 SzGeCERN 20210421201810.0 9783319748146 electronic version electronic version 9783319748139 print version oai:cds.cern.ch:2697986 cerncds:BOOK EBL 5357911 eng RM1-950RC261-271 610.28 Rai, Mahendra Biomedical applications of metals Cham Springer 2018 332 p ebook Intro -- Foreword -- Preface -- Contents -- Editors and Contributors -- Abbreviations and Acronyms -- Applications of Metals in Medicine -- 1 Noble Metals in Pharmaceuticals: Applications and Limitations -- Abstract -- 1.1 Introduction -- 1.2 Platinum -- 1.2.1 Polynuclear Pt(II) Complexes -- 1.2.2 Trans-Pt(II) Derivatives -- 1.2.3 Pt(II) and Pt(IV) Carriers -- 1.2.4 Pt(IV) Complexes -- 1.2.5 Looking for New Anticancer Pt(II) Drugs -- 1.2.6 Other Biological Activities -- 1.3 Palladium -- 1.3.1 Pd(II) Complexes with Sulphur-Containing Ligands -- 1.3.2 Multinuclear Pd(II) Complexes -- 1.3.3 Other Biological Activities -- 1.4 Silver -- 1.4.1 Silver Complexes -- 1.5 Ruthenium -- 1.5.1 Ruthenium-Arene Complexes -- 1.5.2 Polypyridyl-Ru(II) Complexes -- 1.5.3 Ruthenium Complexes with Thiosemicarbazones (TSC) -- 1.5.4 Other Biological Activities -- 1.6 Gold -- 1.6.1 Gold Complexes as Antirheumatic Drugs -- 1.6.2 Gold Complexes as Anticancer Agents -- 1.6.2.1 Dithiocarbamate Complexes with Au(I) and Au(III) -- 1.6.2.2 Phosphine and Phosphine-Derivatives Au(I) Complexes -- 1.6.2.3 Au(I) and Au(III) Organometallic Complexes -- 1.6.3 Other Biological Activities -- 1.7 Copper -- 1.7.1 Copper as an Antibiotic Agent -- 1.7.2 Anticancer Activity of Copper Complexes -- 1.7.2.1 Copper Complexes with Polypyridyl Ligands -- 1.7.2.2 Copper Complexes with 1,10-Phenanthrolines -- 1.7.2.3 Polynuclear Copper Complexes -- 1.7.2.4 Thiosemicarbazones Cu(II) Complexes -- 1.8 Conclusions -- References -- 2 The Intriguing Potential of "Minor" Noble Metals: Emerging Trends and New Applications -- Abstract -- 2.1 Introduction -- 2.2 Rhodium -- 2.2.1 Organorhodium(III) Compounds -- 2.2.2 Polypyridyl Rh(III) Complexes -- 2.2.3 Rh(I) Carbene Complexes -- 2.3 Iridium -- 2.3.1 Half-sandwich Organoiridium(III) Complexes -- 2.3.2 Cyclometallated Ir(III) Complexes. 2.3.3 Emerging Trends for Ir(III) Complexes as Theranostics -- 2.4 Osmium -- 2.4.1 Osmium-Arene Complexes -- 2.4.2 Osmium Complexes in High Oxidation States -- 2.5 Rhenium -- 2.6 Conclusions -- References -- 3 Metal-on-Metal Hip Implants: Progress and Problems -- Abstract -- 3.1 Introduction -- 3.2 History of MoM Hip Implants -- 3.3 Metal Ion Release -- 3.3.1 Metal Ion Levels -- 3.3.2 Effect of Femoral Head Size -- 3.3.3 Effect of Acetabular Component Positioning -- 3.4 Bioreactivity and ARMD (Adverse Reaction to Metal Debris) -- 3.4.1 Systemic Concerns -- 3.4.1.1 Cardiomyopathy -- 3.4.1.2 Carcinogenicity and Genetic Changes -- 3.4.1.3 Polyneuropathy -- 3.4.1.4 Renal Effects -- 3.4.2 Local Tissue Reactions -- 3.4.2.1 Aseptic Lymphocyte-Dominated Vasculitis-Associated Lesion (ALVAL) -- 3.4.2.2 Pseudotumor -- 3.4.3 Diagnostic Assessment -- 3.4.3.1 Clinical Evaluation -- 3.4.3.2 Metal Ion Levels -- 3.4.3.3 Imaging -- 3.5 Conclusions -- References -- 4 Copper in Medicine: Perspectives and Toxicity -- Abstract -- 4.1 Introduction -- 4.2 Copper: A Pre-Vedic Metal Used in Medicine -- 4.3 Dietary Recommendations for Copper -- 4.4 Copper Uptake, Distribution, and Metabolism -- 4.4.1 Uptake and Distribution of Copper -- 4.4.2 Metabolism of Copper -- 4.5 Role of Copper in Human Health -- 4.5.1 Diseases Related to Copper Deficiency -- 4.5.1.1 Menke's Disease (MD) -- 4.5.1.2 ATP7A-Related Distal Motor Neuropathy -- 4.5.1.3 Occipital Horn Syndrome (OHS) -- 4.5.1.4 Zinc-Induced Myeloneuropathy -- 4.5.1.5 Aceruloplasminemia -- 4.5.1.6 Cardiovascular Diseases -- 4.5.1.7 Temporary Deficiency of Copper -- 4.5.2 Diseases Resulted Due to Excess Amount of Copper -- 4.5.2.1 Wilson's Disease (WD) -- 4.5.2.2 Non-Wilsonian Disorders (Copper Toxicosis) -- 4.5.2.3 Alzheimer's Disease -- 4.5.2.4 Diabetes -- 4.5.2.5 Cancer -- 4.6 Conclusions -- References. 5 Silver: Biomedical Applications and Adverse Effects -- Abstract -- 5.1 Introduction -- 5.2 Silver in Medicine History -- 5.3 Absorption of Silver in the Human Body -- 5.4 Anti-inflammatory Effects of Silver Metal -- 5.5 The Antimicrobial Mechanisms of Silver -- 5.6 Silver as Virucidal Agent -- 5.7 Silver Metal in Cancer Medication -- 5.8 Adverse Effects of Silver in the Human Body -- 5.9 Conclusions -- References -- 6 The Potential of Metals in Combating Bacterial Pathogens -- Abstract -- 6.1 Introduction -- 6.1.1 The Reemergence of Metal Compounds as Antimicrobials -- 6.2 Uses of Metals as Antimicrobials -- 6.2.1 Historic -- 6.2.2 Present Day -- 6.3 Mechanisms of Metal Toxicity -- 6.3.1 Copper -- 6.3.2 Silver -- 6.3.3 Gallium -- 6.3.4 Arsenic -- 6.3.5 Mercury -- 6.4 Challenges of Studying Metal Antimicrobial Properties -- 6.5 The Prevalence of Resistance Toward Metal-Based Antimicrobials -- 6.6 Further Considerations -- 6.6.1 The Development of Metal-Based Antimicrobials -- 6.6.2 Human Toxicity -- 6.6.3 Environmental Impact -- 6.7 Conclusions -- References -- 7 Platinum in Biomedical Applications -- Abstract -- 7.1 Introduction -- 7.2 Pt in Implanted Medical Devices -- 7.3 Biocompatibility and Corrosion Behavior of Pt Implants -- 7.3.1 The Advantages of Nanostructured Pt Electrodes -- 7.4 Pt-Based Drugs for Cancer Therapy -- 7.5 Nanoparticle Formulations of Pt Drugs -- 7.6 PtNPs for Biomedical Applications -- 7.7 Conclusions -- References -- 8 Metal-Based Drugs for Treatment of Malaria -- Abstract -- 8.1 Introduction -- 8.2 General Aspects of Malaria: The Mechanisms of Action of Classic Drugs and the Resistance of the Protozoan -- 8.3 Metalloantimalarials -- 8.3.1 Metal Complexes -- 8.3.2 Metal Complexes of Quinoline -- 8.3.3 Metal Complexes of Other Ligands -- 8.3.4 Metal Chelators -- 8.3.5 Organometallic Compounds -- 8.4 Conclusions. Acknowledgments -- References -- 9 Metal-Based Therapy in Traditional and Modern Medicine Systems -- Abstract -- 9.1 Introduction -- 9.2 Role of Metals in Traditional Medicine System -- 9.3 Therapeutic Uses of Metals in Modern Medicine System -- 9.3.1 Metals Used for Diagnostic -- 9.3.1.1 Cobalt(III) -- 9.3.1.2 Gadolinium (III), Iron (III) and Manganese (II) -- 9.3.1.3 Technetium -- 9.3.2 Metals Used for Treatment of Various Diseases -- 9.3.3 Therapeutic Uses of Metals Against Cancer -- 9.3.3.1 Arsenic and Antimony -- 9.3.3.2 Cobalt and Copper -- 9.3.3.3 Gold -- 9.3.3.4 Platinum -- 9.3.3.5 Ruthenium -- 9.3.3.6 Selenium -- 9.4 Mechanism of Actions of Metals Against Various Diseases -- 9.5 Limitations of Metals Used in Medicine System -- 9.5.1 Cadmium -- 9.5.2 Lead -- 9.5.3 Iron -- 9.5.4 Copper and Zinc -- 9.6 Conclusions -- Acknowledgements -- References -- 10 Mechanism of Action of Anticancer Metallodrugs -- Abstract -- 10.1 Introduction -- 10.2 Nonessential Metal Compounds -- 10.2.1 Platinum Complexes -- 10.2.2 Ruthenium Complexes -- 10.3 Essential Metal Compounds -- 10.3.1 Iron Complexes -- 10.3.2 Nickel and Zinc Complexes -- 10.3.3 Copper Complexes -- 10.4 Conclusions -- References -- Toxicity of Metals -- 11 Toxicity of Bhasmas and Chelating Agents Used in Ayurveda -- Abstract -- 11.1 Introduction -- 11.2 Assertions of Contemporary Science, Ayurvedic Pharmaceutics and Therapeutics for Chelation -- 11.2.1 Remedies for Removal of Toxic Element/Metal Poisoning -- 11.2.1.1 Chelation -- 11.2.1.2 Saturation -- 11.2.1.3 Antioxidants -- 11.3 General Antidotes or Chelating Agent of Ayurveda -- 11.4 Purification Materials (Shodhana Drugs) Versus Chelating Agents -- 11.5 Ayurvedic Concepts Concerning Metal Pharmacology -- 11.5.1 Rasa Aushadhi (Mercurial/Metallic/Mineralic Medicinal Compounds) -- 11.5.1.1 Pharmacological Actions -- 11.5.1.2 Adverse Effects. 11.5.1.3 Management of Adverse Reactions -- 11.5.2 Swarna Bhasma (Medicinal Gold Preparations) -- 11.5.2.1 Pharmacological Actions -- 11.5.2.2 Adverse Reactions -- 11.5.2.3 Management of Adverse Reactions -- 11.5.3 Raupya Bhasma (Medicinal Silver Preparations) -- 11.5.3.1 Pharmacological Actions -- 11.5.3.2 Adverse Reactions -- 11.5.3.3 Management of Adverse Reactions -- 11.5.4 Tamra Bhasmas (Medicinal Copper Preparations) -- 11.5.4.1 Pharmacological Actions -- 11.5.4.2 Adverse Reactions -- 11.5.4.3 Management of Adverse Reactions -- 11.5.5 Lauha Bhasmas (Medicinal Iron Preparations) -- 11.5.5.1 Pharmacological Reactions -- 11.5.5.2 Adverse Reactions -- 11.5.5.3 Management of Adverse Reactions -- 11.5.6 Naag Bhasmas (Medicinal Lead Preparations) -- 11.5.6.1 Pharmacological Actions -- 11.5.6.2 Adverse Reactions -- 11.5.6.3 Management of Adverse Reactions -- 11.5.7 Yasad Bhasmas (Medicinal Zinc Preparations) -- 11.5.7.1 Pharmacological Actions -- 11.5.7.2 Adverse Reactions -- 11.5.7.3 Management of Adverse Reactions -- 11.5.8 Haratala Bhasmas (Medicinal Orpiment Preparations) (Arsenic Compounds) -- 11.5.8.1 Pharmacological Actions -- 11.5.8.2 Adverse Reactions -- 11.5.8.3 Management of Adverse Reactions -- 11.5.9 Manhashila Bhasmas (Medicinal Realgar Preparations) -- 11.5.9.1 Pharmacological Actions -- 11.5.9.2 Adverse Reactions -- 11.5.9.3 Management of Adverse Reactions -- 11.5.10 Gauripasan Bhasmas (Medicinal Arsenious Oxides Preparations) -- 11.5.10.1 Pharmacological Actions -- 11.5.10.2 Adverse Reactions -- 11.5.10.3 Management of Adverse Reactions -- 11.6 Pathya and Apathya (Wholesome Diet and Unwholesome Diet) and Chelating Concepts -- 11.6.1 Description of Definitive Diets in Ayurveda While Treatment with Bhasmas-Specific Metallic Preparations -- 11.6.1.1 Rasa Aushadhis (Medicinal Mercurial/Metals/ Minerals Preparations). 11.6.1.2 Swarna Bhasmas (Medicinal Gold Preparations). EBL201910 Health Physics and Radiation Effects SzGeCERN EBL Biomedical materials BOOK Ingle, Avinash P Medici, Serenella https://cds.cern.ch/auth.py?r=EBLIB_P_5357911 ebook n 201944 201910 21 PUBLIC https://catalogue.library.cern/legacy/2697986 BOOK MIGRATED 2697983 SzGeCERN 20210421201810.0 9789811077753 electronic version electronic version 9789811077746 print version oai:cds.cern.ch:2697983 cerncds:BOOK EBL 5356861 eng TK5105.5-5105.9QA75. 621.382 Jiang, Shengming Wireless networking principles Singapore Springer 2018 434 p ebook Intro -- Preface -- References -- Acknowledgements -- Contents -- Acronyms -- List of Figures -- List of Tables -- 1 Introduction and Overview -- 1.1 Typical Wireless Networks -- 1.1.1 Infrastructured Networks -- 1.1.2 Infrastructureless Networks -- 1.1.3 Network Deployment Spaces -- 1.1.4 Communication Media -- 1.2 Networking Fundamental Components -- 1.2.1 Networking Models -- 1.2.2 Networking Approaches -- 1.2.3 Networking Issues -- 1.2.4 Wired Networks Versus Wireless Networks -- 1.3 Summary -- References -- Part I Radio-Frequency Wireless Networks (RWNs) -- 2 Error Control -- 2.1 Error Detection -- 2.1.1 Parity Check -- 2.1.2 Cyclic Redundancy Check (CRC) -- 2.2 Forward Error Correction (FEC) -- 2.2.1 Repetition Code -- 2.2.2 Hamming Code -- 2.3 Automatic Repeat ReQuest (ARQ) -- 2.3.1 Stop-and-Wait -- 2.3.2 Go-Back-N -- 2.3.3 Selective Repeat ARQ -- 2.4 FEC Versus ARQ -- 2.5 Summary -- References -- 3 Medium Access Control (MAC) -- 3.1 Fundamental Issues -- 3.1.1 Signal Collision -- 3.1.2 Capture Effect -- 3.1.3 Spatial Reuse -- 3.1.4 Hidden Terminals -- 3.1.5 Exposed Terminals -- 3.1.6 Energy Efficiency -- 3.1.7 Network Topologies -- 3.2 A MAC Reference Model -- 3.2.1 Operation Cycle -- 3.2.2 Medium Access Units -- 3.2.3 MAC Mechanisms -- 3.3 Categories of MAC Protocols -- 3.3.1 Multiplexing-Based Multiple Access Schemes -- 3.3.2 Contention-Based Protocols -- 3.3.3 Coordination-Based Protocols -- 3.4 Summary -- References -- 4 MAC Protocols for RWNs -- 4.1 Overview -- 4.2 ALOHA -- 4.2.1 Protocols -- 4.2.2 Performance Analysis -- 4.3 Carrier Sensing Multiple Access (CSMA) -- 4.3.1 Protocols -- 4.3.2 Performance Analysis -- 4.4 Busy Tone Multiple Access (BTMA) -- 4.5 Multiple Access Collision Avoidance (MACA) -- 4.5.1 Operational Conditions -- 4.5.2 Collision Scenarios -- 4.6 Floor Acquisition Multiple Access (FAMA). 4.7 MAC Protocol Standards -- 4.7.1 IEEE 802.11 -- 4.7.2 High Performance Local Area Network (HIPERLAN) -- 4.7.3 Wireless Personal Area Networks (WPANs) -- 4.8 Summary -- References -- 5 Routing for RWNs -- 5.1 Overview -- 5.1.1 When to Relay -- 5.1.2 Implicity and Explicit Routing -- 5.1.3 Unicast, Multicast and Broadcast -- 5.1.4 Routing Metrics -- 5.2 Basic Routing Protocols -- 5.2.1 Implicit Routing -- 5.2.2 Explicit Routing -- 5.2.3 Optimal Broadcast Routing -- 5.3 Routing in Mobile Ad Hoc Network (MANET) -- 5.3.1 Challenges -- 5.3.2 Loop Avoidance -- 5.3.3 Routing Strategies -- 5.4 Opportunistic Routing -- 5.4.1 Delay and Disruption Tolerant Network (DTN) -- 5.4.2 DTN on Top of Transport Layer -- 5.4.3 Challenges -- 5.5 De-Facto Standards for Routing Protocols -- 5.5.1 Dynamic Source Routing (DSR) -- 5.5.2 Ad Hoc On-Demand Distance Vector (AODV) -- 5.5.3 Optimized Link State Routing (OLSR) -- 5.5.4 Topology Dissemination Based on Reverse-Path Forwarding (TBRPF) -- 5.5.5 Probabilistic Routing Protocol Using History of Encounters and Transitivity (PRoPHET) -- 5.5.6 Discussion -- 5.6 Summary -- References -- 6 End-to-End Transmission Control in RWNs -- 6.1 User Datagram Protocol (UDP) -- 6.2 Transmission Control Protocol (TCP) -- 6.2.1 Transmission Reliability Control -- 6.2.2 Flow Control -- 6.2.3 Congestion Control -- 6.3 TCP Standards -- 6.3.1 TCP Tahoe -- 6.3.2 TCP Reno -- 6.3.3 TCP NewReno -- 6.4 TCP for Multi-hop Mobile Networks -- 6.4.1 Challenging Issues -- 6.4.2 Splitting of TCP Connection -- 6.4.3 Precise Congestion Inference -- 6.4.4 Route Failure Notification -- 6.4.5 Congestion State Probing -- 6.4.6 MAC Contention Relief -- 6.4.7 ATM-like Control -- 6.4.8 Decoupling of TCP Functions -- 6.5 Discussion -- 6.5.1 End-to-End Semantics -- 6.5.2 Compatibility with TCP -- 6.5.3 Implementation Complexity -- 6.5.4 Evolution of TCP Research. 6.6 Summary -- References -- 7 Mobility in RWNs -- 7.1 Horizontal Handoff -- 7.1.1 Handoff Policies -- 7.1.2 Handoff Initiation -- 7.1.3 Handoff Execution -- 7.2 Vertical Handoff -- 7.2.1 Handoff Scenarios -- 7.2.2 Handoff Operation -- 7.2.3 IEEE 802.21 -- 7.3 Roaming -- 7.3.1 Overview -- 7.3.2 Roaming in GSM -- 7.3.3 Mobile IP -- 7.4 Grade of Service (GoS) -- 7.4.1 Approaches for Efficient Handoff -- 7.4.2 Handoff Without Priority -- 7.4.3 Queuing Handoff -- 7.4.4 Guard Channel (GC) -- 7.4.5 Distributed Call Admission Control (DCAC) -- 7.5 Summary -- References -- 8 Network Security in RWNs -- 8.1 Overview -- 8.1.1 Typical Targets Under Attack -- 8.1.2 Basic Network Security -- 8.1.3 Wireless Network Security -- 8.2 Security Primitives -- 8.2.1 Cryptography -- 8.2.2 Key Management -- 8.2.3 Hash Functions -- 8.2.4 Digital Signature -- 8.2.5 Digital Certificate -- 8.2.6 Virtual Private Network (VPN) -- 8.3 Standards for Network Security -- 8.3.1 Authentication Systems -- 8.3.2 Transport Layer Security -- 8.3.3 Network Layer Security -- 8.3.4 Link Layer Security -- 8.4 Standards for Securing Wireless Links -- 8.4.1 IEEE 802.11 -- 8.4.2 WiFi Protected Access (WPA) -- 8.4.3 IEEE 802.11i -- 8.5 Summary -- References -- Part II Underwater Wireless Acoustic Networks (UWANs) -- 9 Overview of Underwater Acoustic Communication -- 9.1 Underwater Acoustic Environments -- 9.2 Peculiar Features of Underwater Acoustic Channels -- 9.2.1 Long and Changing Propagation Delays -- 9.2.2 Primary Characteristics -- 9.2.3 Technological and Operational Limitations -- 9.3 Summary -- References -- 10 MAC for UWANs -- 10.1 Overview -- 10.2 Challenges and Categories -- 10.2.1 Medium Utilization -- 10.2.2 Energy Efficiency -- 10.2.3 Quality of Service (QoS) -- 10.2.4 Mobility -- 10.2.5 Fairness -- 10.2.6 Protocol Validation -- 10.2.7 Classification of UWAN MAC Protocols. 10.3 UWAN MAC Based on RWN Protocols -- 10.3.1 Multiplexing Access Protocols -- 10.3.2 MAC Protocols Without Multiplexing -- 10.4 Newly Designed UWAN MAC Protocols -- 10.4.1 Reservation-Based MAC Protocols -- 10.4.2 Scheduling-Based MAC Protocols -- 10.4.3 Cross-Layer Designed Protocols -- 10.5 Discussion -- 10.6 Summary -- References -- 11 Routing in UWANs -- 11.1 Overview -- 11.1.1 Primary Challenges -- 11.1.2 Protocol Category -- 11.2 Stationary Sinks -- 11.2.1 Relative Position-Based Routing -- 11.2.2 Priority Routing -- 11.2.3 Asymmetric Link Connectivity -- 11.2.4 Multipath Routing -- 11.2.5 Cross-Layer Design -- 11.3 Mobile Sinks -- 11.3.1 Routing in 3D UWANs -- 11.3.2 Sector-Based Routing -- 11.3.3 Multiple Mobile Sinks -- 11.4 No Specified Sinks -- 11.4.1 Non Line-of-Sight (NLOS) -- 11.4.2 Routing for Wave Gliders -- 11.4.3 Season-Adaptive Routing -- 11.4.4 Smart Routing Protocols -- 11.5 Discussion -- 11.6 Summary -- References -- 12 Transfer Reliability Control in UWANs -- 12.1 Overview -- 12.2 Reliable Transfer Architecture -- 12.2.1 Link-Level Functions -- 12.2.2 Path-Level Functions -- 12.2.3 Typical Error Control Schemes -- 12.3 Data Link Layer -- 12.3.1 Enhanced SW-ARQ -- 12.3.2 Enabling of SR-ARQ -- 12.3.3 Hybrid-ARQ (HARQ) -- 12.4 Network Layer -- 12.4.1 Fountain Codes -- 12.4.2 Network Coding -- 12.4.3 Cooperative Transmissions -- 12.4.4 Reliable Broadcast -- 12.5 Transport Layer -- 12.6 Discussion -- 12.7 Summary -- References -- 13 Security in UWANs -- 13.1 Cryptographic Primitives for UWANs -- 13.1.1 Challenges to Popular Cryptographic Primitives -- 13.1.2 Symmetric Key for Reciprocal Channels -- 13.1.3 Public Key with Elliptic Curve Cryptography (ECC) -- 13.1.4 Digital Signature -- 13.1.5 Reputation-Based Authentication -- 13.2 Security Threats in UWANs -- 13.2.1 Environmental Factors -- 13.2.2 Physical Layer Attacks. 13.2.3 Link Layer Attacks -- 13.2.4 Network Layer Attacks -- 13.2.5 Transport Layer Attacks -- 13.3 Countermeasures Against Typical Threats -- 13.3.1 Against Signal Eavesdropping -- 13.3.2 Countermeasures Against Wormhole Attack -- 13.3.3 Attack-Resilient Routing -- 13.3.4 A Cryptographic Suite -- 13.4 Discussion -- 13.5 Summary -- References -- Appendix AFormulas for Some Queueing Systems -- Appendix BRSA Cryptosystem -- Index. EBL201910 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5356861 ebook n 201944 201910 21 PUBLIC https://catalogue.library.cern/legacy/2697983 BOOK MIGRATED 2697966 SzGeCERN 20210421201813.0 9783319750316 electronic version electronic version 9783319750309 print version oai:cds.cern.ch:2697966 cerncds:BOOK EBL 5355960 eng TJ807-830TA401-492QC 621.31244 Chaichan, Miqdam Tariq Generating electricity using photovoltaic solar plants in Iraq Cham Springer 2018 217 p ebook Intro -- Preface -- Introduction -- Contents -- Chapter 1: Introduction -- 1.1 Introduction -- 1.2 Solar Energy -- 1.3 Wind Energy -- 1.4 Hydro Energy -- 1.5 Biomass Energy -- 1.6 Geothermal Energy -- 1.7 Ocean Tidal and Wave Energy -- References -- Chapter 2: Iraq -- 2.1 Introduction -- 2.2 Iraq Geography -- 2.3 Iraq Metallurgical Conditions -- 2.3.1 Drought -- 2.3.2 Flooding -- 2.3.3 Dust Storms -- 2.4 Iraq Electricity Conditions -- References -- Chapter 3: Status of Renewable Energy in Iraq -- 3.1 Introduction -- 3.2 Renewable Energies in Iraq -- 3.3 Solar Energy in Iraq -- 3.3.1 Photovoltaic (PV) Systems -- 3.3.2 Solar Concentrated Power Stations (CPS) -- 3.4 Wind Energy in Iraq -- 3.5 Biomass Energy in Iraq -- 3.6 The Electricity Conditions in Iraq Today -- References -- Chapter 4: Solar Photovoltaic Technology Principles -- 4.1 Introduction -- 4.2 Insolation and Solar Radiation -- 4.3 Insolation -- 4.3.1 Geometry of the Sun -- 4.3.2 Time Offset and Zones -- 4.3.3 Insolation on a Sun-Tracking Surface -- 4.3.4 Insolation on a Stationary Surface -- 4.3.5 Insolation on Horizontal Surfaces -- 4.4 Solar Cell and Photovoltaic -- 4.5 Photovoltaic Technology: A Brief History -- 4.6 Photovoltaic Materials -- 4.6.1 Band Theory -- 4.6.2 Semiconductor Energy Bands -- 4.6.3 The Intrinsic-Type Semiconductor -- 4.6.4 The N-Type Semiconductor -- 4.6.5 The P-Type Semiconductor -- 4.7 Creating a Junction -- 4.8 The Generation of Electron-Hole Pairs with Light and the Solar Spectrum -- 4.9 P-N Junction Electric Currents under External Bias -- 4.10 Solar Cell Modeling -- 4.11 The Solar Cell, Module, and Array -- 4.12 Photovoltaic Systems -- 4.13 Design and Optimization of Photovoltaic Systems -- 4.13.1 Intuitive Technique -- 4.13.2 A Numerical Technique -- 4.13.3 An Analytical Technique -- 4.14 PV Systems Economic -- 4.15 Photovoltaic Applications -- References. Chapter 5: Environmental Conditions and Its Effect on PV Performance -- 5.1 Introduction -- 5.2 The Effect of Solar Radiation on PV Modules Performance -- 5.3 Solar Radiation in Iraq -- 5.4 Temperature Effect on PV -- 5.5 Humidity Effect on PV -- 5.6 Wind Effect on PV -- 5.7 Dust Effect on PV -- 5.7.1 Background -- 5.7.2 Dust in Iraq -- 5.7.3 Iraqi Dust Specifications -- 5.7.4 The Iraqi Studies on the Effect of Dust on PV Systems -- References -- Chapter 6: Photovoltaic Experiences in Iraq Neighborhood Countries -- 6.1 Iran -- 6.2 Turkey -- 6.2.1 Energy Situation in Turkey -- 6.2.2 Renewable Energies in Turkey -- 6.3 Syria -- 6.3.1 Energy Status in Syria -- 6.3.2 Renewable Energies in Syria -- 6.3.3 Use of Photovoltaics in Syria -- 6.4 Kuwait -- 6.4.1 Energy Status in Kuwait -- 6.4.2 Electricity in Kuwait -- 6.4.3 Renewable Energies in Kuwait -- 6.4.4 Solar Photovoltaic Applications in Kuwait -- 6.5 Saudi Arabia -- 6.5.1 Energy in Saudi Arabia -- 6.5.2 Electricity in Saudi Arabia -- 6.5.3 Renewable energies in Saudi Arabia -- 6.5.4 Solar Photovoltaic in Saudi Arabia -- 6.6 Jordan -- 6.6.1 The State of Energy in Jordan -- 6.6.2 Electricity in Jordan -- 6.6.3 Electrical Connection -- 6.6.4 Renewable Energies in Jordan -- References -- Chapter 7: Adopted Iraqi Photovoltaic Projects -- 7.1 Introduction -- 7.2 Modern Projects -- 7.3 Conclusions -- References -- Chapter 8: Iraqþs Future Strategies in the Use of PV Plants -- 8.1 Introduction -- 8.2 Strategic and Institutional Determinants -- 8.3 Awareness Rising -- 8.4 Tariff -- 8.5 Studies, Scientific Research, and Development -- 8.6 Expected Results and Summary -- 8.7 Conclusions -- References -- Authors Brief Biography -- Index. EBL201910 Engineering SzGeCERN BOOK Kazem, Hussein A https://cds.cern.ch/auth.py?r=EBLIB_P_5355960 ebook n 201944 201910 21 PUBLIC https://catalogue.library.cern/legacy/2697966 BOOK MIGRATED 2697957 SzGeCERN 20210421201814.0 9783319776798 electronic version electronic version 9783319776781 print version oai:cds.cern.ch:2697957 cerncds:BOOK EBL 5347218 eng HD28-70HD30.2HF5601- 658.472 Caserio, Carlo Enterprise resource planning and business intelligence systems for information quality an empirical analysis in the Italian setting Cham Springer 2018 150 p ebook Contributions to management science Intro -- Preface -- Contents -- 1 Introduction -- Abstract -- 1.1 A Brief Overview of the Book -- 1.2 Theoretical Contributions of the Present Work -- 1.3 Managerial Implications of the Present Work -- 1.4 Structure of the Book -- References -- 2 Enterprise Resource Planning Systems -- Abstract -- 2.1 Introduction -- 2.2 The Evolution of ERP Systems -- 2.3 Information Quality and ERP -- 2.3.1 Information Quality -- 2.3.2 ERP System for Information Quality -- 2.4 Critical Success Factor for ERP Implementation -- 2.5 Critical Success Factors for ERP Post-implementation -- 2.6 Advantages and Disadvantages of ERPs -- 2.6.1 Potential Benefits of ERP Adoption -- 2.6.2 A Framework for Classifying the Benefits of ERP Systems -- 2.6.3 Potential Disadvantages of ERP Adoption -- 2.7 ERP as a Driver of Alignment Between Management Accounting Information and Financial Accounting Information -- 2.8 The Managerial Role of the Chief Information Officer -- References -- 3 Business Intelligence Systems -- Abstract -- 3.1 Introduction -- 3.2 Business Intelligence and Companies Needs -- 3.3 BI for Management Information Systems Needs -- 3.3.1 Alignment to Group Logics -- 3.3.2 Coordination and Technical-Organizational Integration -- 3.3.3 Improvement of Data Management and Decision Support Information -- 3.3.4 Improvement in Communications -- 3.4 BI for Strategic Planning Needs -- 3.4.1 Monitoring of Environmental Signals -- 3.4.2 Planning and Control Requirements -- 3.4.3 Innovative BI Tools for the Adaptation to Environmental Conditions -- 3.5 BI for Marketing Needs -- 3.6 BI for Regulations and Fraud Detection Needs -- 3.7 Critical Success Factors of BI Implementation and Adoption -- 3.8 BI Maturity Models and Lifecycle -- References -- 4 ERP and BI as Tools to Improve Information Quality in the Italian Setting: The Research Design -- Abstract -- 4.1 Introduction. 4.2 Literature Review Supporting the Research Design -- 4.2.1 Literature Review on Information Overload and Information Underload -- 4.2.2 Links Between Information Overload/Underload and ERP Systems -- 4.2.3 Links Between Features of Information Flow and ERP Systems -- 4.2.4 Links Between Information Overload/Underload and Business Intelligence Systems -- 4.2.5 Links Between Features of Information Flow and Business Intelligence Systems -- 4.2.6 The Combined Use of ERP and Business Intelligence: Information Overload/Underload and Features of Information Flow -- 4.2.7 Literature Review on Information Quality -- 4.2.8 Links between Features of Information Flow and Information Quality -- 4.3 Sample Selection and Data Collection -- 4.4 Variable Measurement -- 4.4.1 Research Variable Measurement -- 4.4.2 Variable Measurement: Control Variables -- 4.5 Factor Analysis -- References -- 5 ERP and BI as Tools to Improve Information Quality in the Italian Setting: Empirical Analysis -- Abstract -- 5.1 Introduction -- 5.2 Descriptive Statistics and Correlation Analysis -- 5.3 Research Models -- 5.3.1 T-Test -- 5.3.2 Regression Analysis for Research Variables -- 5.4 Empirical Results -- 5.4.1 T-Test: Empirical Results -- 5.4.1.1 T-Test: Empirical Results for the Research Variables -- 5.4.1.2 T-Test: Empirical Results for Survey Items -- 5.4.2 Empirical Results for Regression Analysis -- 5.5 Additional Analysis: Empirical Results on the Chief Information Officer Dataset -- 5.5.1 Regression Analysis for Chief Information Officers -- 5.5.2 Empirical Results of the Regression Analysis on Chief Information Officers -- 5.5.3 T-Test: Empirical Results of the Analysis of Chief Information Officers -- 5.6 Summary Results -- 5.6.1 Summary Results for the Entire Dataset of Respondents -- 5.6.2 Summary Results for Chief Information Officers -- References. 6 Concluding Remarks -- Abstract -- 6.1 Introduction -- 6.2 ERP, Information Overload/Underload and Features of Information Flow -- 6.3 BI, Information Overload/Underload and Features of Information Flow -- 6.4 The Combination of ERP and BI for Information Overload/Underload and Features of Information Flow -- 6.5 Information Quality and Features of Information Flow -- 6.6 Limitations and Further Development -- Acknowledgements -- References. EBL201910 Information Transfer and Management SzGeCERN BOOK Trucco, Sara https://cds.cern.ch/auth.py?r=EBLIB_P_5347218 ebook n 201944 201910 21 PUBLIC https://catalogue.library.cern/legacy/2697957 BOOK MIGRATED 2697947 SzGeCERN 20210421201815.0 9789811018916 electronic version electronic version 9789811018893 print version oai:cds.cern.ch:2697947 cerncds:BOOK EBL 5344837 eng P87-P96Q342QA76.9.U8 006.7 Cermak-Sassenrath, Daniel Playful disruption of digital media Singapore Springer 2018 318 p ebook Gaming media and social effects Intro -- Foreword -- Contents -- Editor and Contributors -- Introduction -- Part I: Learning, Reflection and Identity -- Part II: System, Society, Empowerment -- Part III: Mis-use, Struggle, Control -- Part IV: Place, Reality, Meaning -- Acknowledgements -- References -- Learning, Reflection and Identity -- Questions Over Answers: Reflective Game Design -- 1 Introduction -- 2 Reflection, Learning and Games -- 3 Reflection in Mainstream Game Design -- 3.1 Serious Games -- 3.2 Entertainment Games -- 4 Reflection in Interaction Design -- 4.1 Critical Design -- 4.2 Reflective Design -- 5 Experimental Games -- 6 Reflective Game Design -- References -- 2 Playing the Subject -- Abstract -- 1 Introduction -- 2 The Fragmented Subject -- 3 The Essential Subject -- 4 Commodifying Difference -- 5 Artistic Responses -- 6 Playing Many Selves -- 7 The Fractal Subject -- 8 Caricature -- 9 Conclusion -- References -- 3 The Potential of the Contradictory in Digital Media-The Example of the Political Art Game PoliShot -- Abstract -- 1 Introduction -- 2 PoliShot: PoliticalGame and ArtMedium -- 2.1 L'Affaire Barrs̈ and the Context to PoliShot -- 2.2 PoliShot: The Dada Game Installation -- 3 PoliShot: Blending Elements and Blurring Boundaries -- 3.1 Blending of Forms and Contents Blurs Actual and Virtual Boundaries -- 3.2 Blending of Contents Blurs Moral Boundaries -- 4 Querulousness in Play, Art, and the World Around Us -- 5 Conclusion -- References -- 4 The Phylogeny of Play -- Abstract -- 1 Milestone 1: Locomotor Control -- 2 Milestone 2: Hunting Play -- 3 Milestone 3: Rock-Throwing Play -- 4 Milestone 4: Manipulative Play -- 5 Milestone 5: Cognitive Play -- 6 Ontogeny and Phylogeny of Play -- 7 Lessons -- 5 Dingbats Fucktory -- System, Society, Empowerment -- 6 Destabilizing Playgrounds: Cartographical Interfaces, Mutability, Risk and Play -- Abstract. 8 1 Digital Mapping -- 2 The Digital as Ludification -- 3 Playing the Map: The Mutable Image -- 4 50 Shades of Play -- 5 Putting Players in the Map: Risk, Power, and Play -- 6 Deep Play, Open Play and the Power of Tinkering -- Acknowledgements -- References -- 7 Crafting Through Playing -- Abstract -- 1 Introduction -- 2 Mapping the Field -- 3 Playing as Crafting -- 4 Productivity and Critique -- 5 Machinima -- 6 Conclusion -- References -- 8 Playmakers in the Maldives -- Abstract -- 1 Background -- 2 Conversations and Collaborations -- 3 The Games -- 4 The Hunt for the Yellow Banana -- 5 Maldives Trading -- 6 Dreams in a Bottle -- 7 Bite-Sized Water Games-Jelly Stomp and Poison Sea -- 8 Operation Noose -- 9 The Goat Herder and the Fainting Goats -- 10 Maaja Making -- 11 Venice Biennale -- 12 Conclusion -- Acknowledgements -- References -- 9 A Civilized Society -- Mis-use, Struggle, Control -- 10 Sonification in an Artistic Context -- Abstract -- 1 Introduction -- 2 Towards a Definition of Sonification Art -- 3 Auditory Display: Definitions, Types, and Functions -- 4 Sonification Modes -- 5 Sonification and Composition -- 6 Towards a Definition of Sonification in an Artistic Context -- 7 Towards a Definition -- 8 Data, Their Mapping, and the Sounding Result -- 9 Creative Processes in Sonification Art -- 10 Some Example Works -- 10.1 Projects Using Environmental Data -- 10.2 Projects Using Social Network Data -- 10.3 Projects Using Financial Data -- 11 Towards an Aesthetic Framework for Sonification Art -- 12 Conclusion -- Acknowledgements -- References -- 11 Little Big Learning: Subversive Play/GBL Rebooted -- Abstract -- 1 Introduction -- 2 Little Big Planet as a Learning Space -- 3 The Concept of Play -- 4 Game-Based Learning, Rewards and Feedback -- 5 LBP: From Content Delivery to Digital Construction. 8 6 Dissembling Play and the Creation of Learning Spaces -- 7 Theorising Little Big Learning -- 8 Conclusion -- References -- 12 Subversive Gamification -- Abstract -- 1 Introduction -- 2 Subversive Gamification -- 3 Subversive Gamified Activism -- 4 Aesthetic Subversion of Gamification -- 5 Subversive Rhetorics of Gamification -- References -- 13 Constant beyond Gamification: Deep Play in Political Activism -- Abstract -- 1 Notes on Deep Play and a Social Playfulness Discourse -- 2 An Exemplary Selection of Activist Ludic Society Game Art Works -- 3 Political Agency Through Play in History -- 4 Play Agency in Twentieth Century Political Theory -- 5 Luther Blissett: A Contemporary Activist Role Play -- 6 El Sub Commandante Marcos, a Political Play Under Revolutionary Conditions -- 7 Conclusion: Towards a Ludic Society Through Activist Play -- References -- Place, Reality, Meaning -- 14 Tricksters, Games and Transformation -- Abstract -- 1 Introduction -- 2 Trickster -- 3 Trickster Today -- 4 Twenty-first Century Play -- 5 Trickster Tools -- 6 Transformative Learning -- 7 Disorienting and Disrupting Playful Technologies -- 8 Conclusion -- References -- Makin' Cake-Provocation, Self-confrontation, and the Opacity of Play -- 1 Introduction -- 2 The Makin' Cake Installation -- 3 Media Are Blank -- 3.1 Blank Texts -- 3.2 Active Process -- 3.3 Decoding Medial Texts -- 3.4 Media Hint at Themselves -- 3.5 The Observer Is Always Participant -- 3.6 Shared Practice -- 3.7 Coupling -- 4 Play Is Not a Reference -- 4.1 Conceptual Distinction of Play and Nonplay -- 4.2 Play Is Self-Referential -- 4.3 Import of Objects and Actions into Play -- 4.4 Creating Reality -- 4.5 Medial Bleed -- 5 Modes of Participation -- 5.1 Action and Reflection in Different Media -- 5.2 Pure Action -- 5.3 Relationship Between Players and Spectators -- 5.4 Passing the Boundary. 8 5.5 Play Is Players -- 5.6 Conflict -- 6 Conclusion -- References -- 16 Free of Charge -- Abstract -- 1 Introduction -- 2 Installation -- 3 Free -- 4 Security Theatre -- 5 Electrostatics -- 6 Wellness -- 7 Play -- 8 Conclusion -- References -- Playing on the Edge -- 1 Introduction -- 2 Characteristics of Play -- 3 Play as Perspective -- 4 Games that Challenge Play -- 4.1 Games of Chance -- 4.2 Strip Poker, Kissing Games, and Truth or Dare -- 4.3 Professional Play -- 4.4 Play as Show -- 4.5 Risky and Violent Games -- 4.6 Games as Propaganda -- 4.7 Pervasive/Mobile Gaming and Live-Action Role Playing -- 5 Conclusion -- References -- Index. EBL201910 Computing and Computers SzGeCERN EBL Computer games EBL Interactive multimedia BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5344837 ebook n 201944 201910 21 PUBLIC https://catalogue.library.cern/legacy/2697947 BOOK MIGRATED 2697943 SzGeCERN 20210421201816.0 9783319695846 electronic version electronic version 9783319695839 print version oai:cds.cern.ch:2697943 cerncds:BOOK EBL 5342010 eng QA76.76.A65HD30.2QA7 004 Proper, Henderik A Architectural coordination of enterprise transformation Cham Springer 2018 346 p ebook The enterprise engineering series Intro -- Preface -- Contents -- About the Authors -- List of Acronyms -- 1 Introduction -- 1.1 Enterprise Transformation -- 1.2 The Need for Coordination -- 1.3 Enterprise Architecture Management -- 1.4 Architectural Coordination of Enterprise Transformation -- 1.5 Outline of This Book -- Part I Observing Architectural Coordination in Practice -- 2 A Major Transformation at a Global Insurance Company -- 2.1 The Organisation -- 2.2 The Enterprise Transformation -- 2.3 Structuring the Enterprise Architecture Management Function -- 2.4 The Role of Enterprise Architecture Management -- 2.5 Reflection -- 3 Centralised Monitoring of Pensions in Greece -- 3.1 A Fragmented Social Security Landscape -- 3.2 The Enterprise Transformation -- 3.2.1 Baseline Architecture -- 3.2.2 Target Architecture -- 3.2.3 Scenario 1: Fully Consolidated Architecture -- 3.2.4 Scenario 2: Aggregation of Pension Payments Files -- 3.3 Reflection -- 4 Enterprise Coherence in the Public Sector -- 4.1 The Organisation -- 4.2 The Enterprise Transformation -- 4.3 The Used Approach -- 4.4 The Management Dashboard for DGA -- 4.5 Answering the Business Issue -- 4.6 Results of the Programme -- 4.7 Reflection -- 5 Public Services Opening Up To Innovation -- 5.1 The Organisation -- 5.2 The Enterprise Transformation -- 5.2.1 Introduction of Architecture Board -- 5.2.2 Introduction of Innovation Department -- 5.2.3 Introduction of New Project Types -- 5.3 Challenges -- 5.3.1 Unclear Role of the Architecture Board -- 5.3.2 Legitimacy of the Architecture Board -- 5.3.3 Long Communication Lines -- 5.3.4 Innovation as an Addition -- 5.3.5 Double Role of Architects -- 5.3.6 The Pace of the Enterprise Transformation -- 5.3.7 Change in Mindsets -- 5.4 Reflection -- Part II Exploring Architectural Coordination of Enterprise Transformation -- 6 Degrees of Change in Enterprises -- 6.1 Introduction. 6.2 Domains of Work -- 6.2.1 Added-Value Domain -- 6.2.2 Innovation Domain -- 6.2.3 Value Systems Domain -- 6.3 Causal Texture of the Environment -- 6.3.1 Placid, Randomised Environment -- 6.3.2 Placid, Clustered Environment -- 6.3.3 Disturbed-Reactive Environment -- 6.3.4 Turbulent Field -- 6.4 Types of Change Interventions -- 6.4.1 Restructuring -- 6.4.2 Reengineering -- 6.4.3 Rethinking -- 6.5 Three Information Technology Realms -- 6.6 Three Degrees of Enterprise Change -- 6.6.1 Scope of Change -- 6.6.2 Environmental Contingency -- 6.6.3 Type of Change Interventions -- 6.6.4 The Role of Information Technology -- 6.7 Conclusion -- 7 Enterprise Transformation from a Social Perspective -- 7.1 Introduction -- 7.1.1 Structuration-Foundation -- 7.1.2 Origin -- 7.1.3 Type -- 7.1.4 Momentum -- 7.1.5 Trajectory -- 7.2 Applying the Structuration-Foundation -- 7.3 Conclusions -- 8 More than Engineering: The Role of Subcultures -- 8.1 Introduction -- 8.2 What is an Organisational Subculture? -- 8.3 Relevance of Organisational Subcultures in ACET -- 8.4 Potential Consequences if Cultural Differences Are Ignored -- 8.5 Conclusion -- 9 The Need for a Use Perspective on Architectural Coordination -- 9.1 Introduction: The Importance of a Use Perspective on ACET -- 9.2 Importance of the Use of Architectural Coordination -- 9.3 ACET Artefacts from the Users' Perspective -- 9.4 Relevant State of the Art of Use-Centricity in Literature -- 9.5 Managerial Implications for Architectural Artefacts -- 9.6 Conclusion -- 10 Enterprise Coherence Governance: Involving the Right Stakeholders -- 10.1 Introduction -- 10.2 Beyond Engineering -- 10.3 Stakeholder Fragmentation in Enterprise Transformation -- 10.3.1 Social Complexity -- 10.3.2 Wickedness -- 10.4 The Need to Govern Enterprise Coherence -- 10.4.1 Enterprise Coherence Governance -- 10.4.2 Beyond Blue-Print Thinking. 10.4.3 Engaging Stakeholders -- 10.5 Requirements for Enterprise Coherence Governance -- 10.5.1 Stakeholder Involvement -- 10.5.2 Management Control -- 10.5.3 Change Management -- 10.5.4 General Systems Theory -- 10.6 Conclusion -- 11 Information Requirements for Enterprise Transformation -- 11.1 Introduction -- 11.2 State of the Art -- 11.3 Dimensions of Information Requirements -- 11.3.1 People: Consumers of Information -- 11.3.2 Structure: Organisational Scope of Information -- 11.3.3 Task: Purpose of Information -- 11.3.4 Technology: Detail of Information -- 11.4 Information Processing During Enterprise Transformation -- 11.5 Information Provision in the Context of ACET -- 11.6 Conclusion -- 12 Institutionalisation of ACET: Needs and Foundations -- 12.1 Introduction -- 12.2 Theoretical Perspectives on the Effective Anchoring of ACET -- 12.3 An Institutional Theory Perspective on ACET -- 12.3.1 Institutional Theory Foundations -- 12.3.2 Application of Institutional Theory Conceptsto ACET -- 12.4 Conclusion -- 13 The Need for Model Engineering -- 13.1 Introduction -- 13.2 Limits to One-Size-Fits-All Languages -- 13.3 Research Questions -- 13.4 Candidate Existing Approaches -- 13.4.1 Expressing Architectural Concerns by Language Federation -- 13.4.2 Situational Method Engineering -- 13.4.3 Domain-Specific Language Design -- 13.5 Our Approach: Component-Based Language Composition -- 13.6 Conclusion -- 14 Steering Transformations with Architecture Principles -- 14.1 Introduction -- 14.2 Challenges in Using and Evaluating Architecture Principles -- 14.3 Conclusion -- 15 The Need for Explicit Decision-Making Strategies -- 15.1 Introduction -- 15.2 Design Rationale -- 15.2.1 What is Design Rationale? -- 15.2.2 Design Rationale Fundamentals -- 15.2.3 Types of Design Rationale Approaches -- 15.2.3.1 Representation and Processing of Design Rationale. 15.2.3.2 Descriptive or Prescriptive Design Rationale -- 15.2.3.3 Intrusiveness of Design Rationale -- 15.2.4 Design Rationale Approaches and Related Work -- 15.3 Design Rationale and Enterprise Architecture -- 15.4 Objectives of a Rationale Management System -- 15.5 Conclusion -- Part III Harvesting Components of an ACET Design Theory -- 16 ACET Constructs -- 16.1 General ACET Constructs -- 16.1.1 Enterprise Transformation -- 16.1.2 Architecture -- 16.1.3 Enterprise Architecture -- 16.1.4 Enterprise Architecture Management -- 16.1.5 Coordination -- 16.1.6 Method Fragment/Method Chunk -- 16.1.7 Model -- 16.1.8 Stakeholder -- 16.2 Key Constructs for ACET Method Fragments -- 16.2.1 Value -- 16.2.2 Organisational Subculture -- 16.2.3 Decision -- 16.2.4 Architecture Principles -- 16.2.5 Information Systems Model -- 16.2.6 Reference Model -- 16.2.7 Community of Practice -- 16.2.8 Boundary Object -- 16.2.9 Institution -- 16.2.10 Institutionalisation -- 17 Transformation Intelligence Capability Catalogue -- 17.1 Role of the Capability Catalogue for ACET -- 17.2 Method Fragments of the Capabilities Catalogue -- 18 Coherence Management Dashboard for ACET -- 18.1 Introduction -- 18.2 The Enterprise Coherence Framework -- 18.2.1 Coherence at the Strategic Level -- 18.2.2 Coherence at the Design Level -- 18.2.3 Coherence Between the Levels -- 18.3 Coherence Management Dashboard -- 18.4 Case studies -- 19 Guidelines for Architecture Models as Boundary Objects -- 19.1 Introduction -- 19.2 Boundary Objects -- 19.2.1 Boundary Object Properties -- 19.2.2 Enterprise Architecture Models as BoundaryObjects -- 19.3 Semantic Boundary Object Capacities -- 19.3.1 Visualisation -- 19.3.2 Experimental Setup -- 19.3.2.1 Perceptual Discriminability -- 19.3.2.2 Semantic Transparency -- 19.3.2.3 Dual Coding -- 19.3.2.4 Complexity Management -- 19.3.2.5 Performance Attributes. 19.3.3 Experimental Results -- 19.3.4 Modularity -- 19.3.5 Abstraction/Concreteness -- 19.3.6 Stability -- 19.3.7 Development of Boundary Object Design Principles -- 19.4 Discussion -- 20 The ACET Information Requirements Reference Model -- 20.1 Introduction -- 20.2 Research Approach -- 20.3 ACET Information Requirements Reference Model -- 20.3.1 Strategy -- 20.3.2 Goals -- 20.3.3 Business Structure -- 20.3.4 Project Portfolio -- 20.3.5 Design Options -- 20.3.6 Methods -- 20.3.7 Social Factors -- 20.3.8 Performance -- 20.3.9 Stakeholders -- 20.3.10 Risks -- 20.3.11 IT Structure -- 20.4 Discussion -- 21 Model Bundling: Componential Language Engineering -- 21.1 Introduction -- 21.2 Model Bundling -- 21.2.1 The e3RoME Model Bundling Artefact -- 21.2.2 Adapting a Value-Based Service BundlingMechanism -- 21.3 Experiment: Integrating e3Value and ArchiMate via DEMO -- 21.4 Two e3RoME Ontologies -- 21.4.1 The Stakeholder Perspective Ontology -- 21.4.1.1 Actor -- 21.4.1.2 Stakeholder Role -- 21.4.1.3 Need -- 21.4.1.4 Consequence -- 21.4.1.5 Consequence Link -- 21.4.1.6 Link Rationale -- 21.4.2 The Catalogue Perspective Ontology -- 21.5 Generating Model Bundles -- 21.5.1 Creating an Initial Model Bundle -- 21.5.2 Modifying a Model Bundle -- 21.6 Discussion -- 22 Principle-Based Goal-Oriented Requirements Language -- 22.1 Introduction -- 22.2 Guidelines for the Formulation of Architecture Principles -- 22.3 Semiformal Representation of Architecture Principles -- 22.4 Constraints for Architecture Principle Representation -- 22.5 Relevance and Consequences for ACET -- 22.5.1 Support for Formulation of Architecture Principles -- 22.5.2 Supporting Design Decisions Based on Architecture Principles -- 22.5.3 Supporting Consistency Checks -- 22.5.4 Evaluate Consistency with Architecture Principles -- 22.6 Discussion -- 23 The EA Anamnesis Approach -- 23.1 Introduction. 23.2 Decision Properties. EBL201910 SzGeCERN Computing and Computers EBL Computer science BOOK Winter, Robert Aier, Stephan de Kinderen, Sybren https://cds.cern.ch/auth.py?r=EBLIB_P_5342010 ebook 201910 n 201944 21 PUBLIC https://catalogue.library.cern/legacy/2697943 BOOK MIGRATED 2697917 SzGeCERN 20210421201820.0 9789811077937 electronic version electronic version 9789811077920 print version oai:cds.cern.ch:2697917 cerncds:BOOK EBL 5310060 eng QA75.5-76.95QA76.9.N 006.35 Murakami, Yohei Services computing for language resources Singapore Springer 2018 225 p ebook Cognitive technologies Intro -- Preface -- Contents -- Contributors -- Part I Language Service Platform -- Federated Grid Architecture for Language Services -- 1 Introduction -- 2 Language Service Platforms -- 2.1 Pipeline Processing Approach -- 2.2 Service Composition Approach -- 2.3 Service Grid Architecture -- 3 Upper-Level Ontology for Service Grid -- 4 Federated Grid Architecture -- 4.1 Information Sharing -- 4.2 Service Composition on Federated Grid -- 5 Case Study: The Language Grid -- 5.1 Language Grid Ontology -- 5.2 Federated Operation of Language Grid -- 6 Conclusion -- References -- Language Mashup: Personalized Language Service Platform -- 1 Introduction -- 2 Language Service Platform for Personal Use -- 2.1 Intellectural Property Problems in Language Grid -- 2.2 Mashup Framework -- 3 Language Service Platform for Mobile Device -- 3.1 Combination of Language Services and Mobile Functions -- 3.2 Design Concept -- 3.3 Architecture -- 3.4 Implementation -- 3.5 Case Study: Mobile Shopping Translation System -- 4 Related Works -- 5 Conclusion -- References -- Part II Language Service Composition -- Language Service Composition Based on Higher Order Functions -- 1 Introduction -- 2 Composite Services and Their Variations -- 3 Description Language for Hierarchical Service Composition -- 4 Implementation -- 4.1 Building SOAP Request -- 4.2 Intercepting and Replacing Service Invocation -- 5 Evaluation -- 5.1 Number of Service Composition that Can Be Realized -- 5.2 Execution Overhead -- 6 Related Work -- 7 Discussion -- 8 Conclusion -- References -- Policy-Aware Language Service Composition -- 1 Introduction -- 2 Motivating Example -- 3 Parallel Execution Policy Model -- 3.1 Parallel Execution of a Language Service -- 3.2 Parallel Execution Policies -- 4 Prediction of Composite Service Performance -- 4.1 Parallel Execution of Composite Language Service. 4.2 Prediction Model -- 5 Evaluation -- 5.1 Evaluation of the Parallel Execution Policy Model -- 5.2 Evaluation of the Prediction Model -- 6 Related Work -- 7 Conclusion -- References -- Optimizing Crowdsourcing Workflow for Language Services -- 1 Introduction -- 2 Modeling Iterative and Parallel Processes -- 2.1 Workers -- 2.2 Workflows -- 2.3 Improvement Task -- 2.4 Utility -- 3 Workflow Optimization -- 3.1 The Search Algorithm -- 3.2 Optimality -- 3.3 Analysis of Optimal Workflows -- 4 Crowdsourcing Translation System -- 4.1 System Overview -- 4.2 Example of Use Case -- 5 Related Work -- 6 Conclusion -- References -- Cascading-Failure Tolerance for Language Service Networks -- 1 Introduction -- 2 Cascading Failure -- 3 Language Service Network Model -- 3.1 Network Topology -- 3.2 Degree of Interdependency Between Services -- 4 The Language Grid Service Network -- 5 Cascading Failure Simulation -- 5.1 Generating Service Networks -- 5.2 Simulation Result and Analysis -- 6 Conclusion -- References -- Part III Language Resources and Services Creation -- A Constraint Approach to Lexicon Induction for Low-Resource Languages -- 1 Introduction -- 2 Pivot-Based Bilingual Lexicon Induction -- 3 Constraint-Based Approach -- 3.1 Semantic Constraint Assumption -- 3.2 Semantic Constraints -- 3.3 Weight Estimation -- 4 Framework Generalization -- 4.1 Preliminaries -- 4.2 Encoding -- 4.3 Finding Solution -- 4.4 Framework Extension -- 5 Experiment -- 5.1 Result and Analysis -- 6 Conclusion -- References -- Language Service Design Based on User-Centered QoS -- 1 Introduction -- 2 Motivating Example of Language Service Design -- 3 QoS Model for Service Design -- 3.1 QoS Attributes -- 3.2 User-Centered QoS Evaluation -- 4 Service Design Process -- 5 Case Study -- 5.1 Experiment, Result and Analysis -- 5.2 Discussion -- 6 Related Work -- 7 Conclusion -- References. Part IV Understanding and Designing Language Services -- Consistency Analysis in Multi-language Knowledge Sharing System -- 1 Introduction -- 2 Illustrating Cause and Consequences -- 3 Leverage Knowledge Equally -- 3.1 Process-Based Approach -- 3.2 Experimental Evaluation -- 4 Customize Knowledge Sharing -- 4.1 Propagation Based Approach -- 4.2 Content Preferences -- 4.3 Geographic Preferences -- 5 Discussion -- 6 Conclusion -- References -- Supporting Non-native Speakers' Listening Comprehension with Automated Transcripts -- 1 Introduction -- 2 Background -- 2.1 Real-Time Listening Comprehension Problems of NNSs -- 2.2 Providing NNSs with Real-Time ASR Transcripts -- 2.3 Eye-Tracking and NNSs' Use of Textual Information -- 3 Study 1: Understanding Listening Comprehension Problems of NNSs -- 3.1 Method -- 3.2 Results -- 4 Study 2: Investigating NNSs' Use of ASR Transcripts for Solving Problems -- 4.1 Method -- 4.2 Results -- 5 Study 3: Predicting Listening Comprehension Problems of NNSs -- 5.1 Method -- 5.2 Classification Experiments -- 5.3 Results -- 6 Conclusions -- References -- Translation Agent -- 1 Introduction -- 2 Beyond Accuracy Promotion -- 2.1 Limitation of Transparent Translation Channel -- 2.2 Benefit of Interactivity Promotion -- 3 From Interactivity Motivation to Agent Metaphor -- 3.1 Interaction Protocol and Agent Metaphor -- 3.2 Interactivity Levels -- 4 Design of Translation Agent -- 4.1 Agent Architecture -- 4.2 Repair Strategy Example -- 5 Evaluation -- 5.1 Experiment Preparation -- 5.2 Result and Analysis -- 5.3 Discussion -- 6 Conclusion -- References -- Gaming for Language Services -- 1 Introduction -- 2 Gaming -- 3 Game Definition -- 3.1 Game Scenario -- 3.2 Player Internal Model and Environmental Model -- 3.3 Game Definition Example: Ultimatum Game -- 4 Gaming System. 5 Gaming for Design of Sustainable Services Computing Infrastructures -- 5.1 Overview -- 5.2 Design of Game -- 5.3 Settings of Experiment -- 5.4 Result -- 6 Conclusion -- References -- Youth Mediated Communication: Knowledge Transfer as Intercultural Communication -- 1 Introduction -- 2 YMC (Youth Mediated Communication) Model -- 3 System Design -- 3.1 Requirement Analysis -- 3.2 Interaction Design -- 3.3 Language Service Design -- 4 Implementation -- 4.1 Overview of YMC System -- 4.2 User Interface -- 4.3 Language Services -- 4.4 YMC Tools: Analog Materials -- 5 Field Experiment -- 5.1 YMCViet Project -- 5.2 Evaluation -- 6 Conclusion -- References -- Author Index. EBL201910 Computing and Computers SzGeCERN EBL Natural language processing (Computer science) EBL Computational grids (Computer systems) BOOK Lin, Donghui Ishida, Toru https://cds.cern.ch/auth.py?r=EBLIB_P_5310060 ebook n 201944 201910 21 PUBLIC https://catalogue.library.cern/legacy/2697917 BOOK MIGRATED 2697913 SzGeCERN 20210421201820.0 9783319737881 electronic version electronic version 9783319737874 print version oai:cds.cern.ch:2697913 cerncds:BOOK EBL 5301896 eng Q334-342QA76.9.A25 006.3 Nunes, Eric Artificial intelligence tools for cyber attribution Cham Springer 2018 97 p ebook SpringerBriefs in computer science Intro -- Acknowledgements -- Contents -- 1 Introduction -- References -- 2 Baseline Cyber Attribution Models -- 2.1 Introduction -- 2.2 Dataset -- 2.2.1 DEFCON CTF -- 2.2.2 DEFCON CTF Data -- 2.2.3 Analysis of CTF Data -- 2.3 Baseline Approaches -- 2.4 Experimental Results -- 2.4.1 Misclassified Samples -- 2.4.2 Pruning -- 2.5 Conclusions -- References -- 3 Argumentation-Based Cyber Attribution: The DeLP3E Model -- 3.1 Introduction -- 3.1.1 Application to the Cyber Attribution Problem -- 3.1.2 Structure of the Chapter -- 3.2 Technical Preliminaries -- 3.2.1 Basic Language -- 3.2.2 Environmental Model -- 3.2.3 Analytical Model -- 3.3 The DeLP3E Framework -- 3.3.1 Warranting Scenarios -- 3.3.2 Entailment in DeLP3E -- 3.4 Consistency and Inconsistency in DeLP3E Programs -- 3.5 Case Study: An Application in Cybersecurity -- 3.5.1 Model for the Attribution Problem -- 3.5.2 Applying Entailment to the Cyber Attribution Problem -- 3.6 Conclusions -- References -- 4 Belief Revision in DeLP3E -- 4.1 Introduction -- 4.2 Basic Belief Revision -- 4.2.1 EM-Based Belief Revision -- 4.2.2 AM-Based Belief Revision -- 4.2.2.1 Postulates for AM-Based Belief Revision -- 4.2.2.2 AM-Based Revision Operators -- 4.2.3 Annotation Function-Based Belief Revision -- 4.2.3.1 Postulates for Revising the Annotation Function -- 4.2.3.2 AF-Based Revision Operators -- 4.3 Quantitative Belief Revision Operators -- 4.3.1 Towards Quantitative Revision -- 4.3.2 Two Building Blocks -- 4.3.3 The Class QAFO -- 4.3.4 Computational Complexity -- 4.3.5 Warranting Formulas -- 4.3.6 Outlook: Towards Tractable Computations -- 4.4 Conclusions and Future Work -- References -- 5 Applying Argumentation Models for Cyber Attribution -- 5.1 Introduction -- 5.2 Baseline Argumentation Model (BM) -- 5.3 Extended Baseline Model i (EB1) -- 5.4 Extended Baseline Model ii (EB2) -- 5.5 Conclusions. References -- 6 Enhanced Data Collection for Cyber Attribution -- 6.1 Introduction -- 6.2 Goals and Design -- 6.2.1 Changing Contestant Behavior -- 6.2.2 Game Rules -- 6.2.3 Infrastructure Design -- 6.2.4 Motivating Attribution and Deception -- 6.2.5 Validity of Data -- 6.3 Conclusion -- References -- 7 Conclusion. EBL201910 Computing and Computers SzGeCERN EBL Artificial intelligence BOOK Shakarian, Paulo Simari, Gerardo I Ruef, Andrew https://cds.cern.ch/auth.py?r=EBLIB_P_5301896 ebook n 201944 201910 21 PUBLIC https://catalogue.library.cern/legacy/2697913 BOOK MIGRATED 2697905 SzGeCERN 20210421201821.0 9783319699509 electronic version electronic version 9783319699493 print version oai:cds.cern.ch:2697905 cerncds:BOOK EBL 5287937 eng TJ163.5.T7TL1-483TJ8 621.312424 Pistoia, Gianfranco Behaviour of lithium-ion batteries in electric vehicles battery health, performance, safety, and cost Cham Springer 2018 343 p ebook Green energy and technology Intro -- Contents -- 1 Lithium-Ion Battery Design for Transportation -- Abstract -- 1 Introduction -- 2 Vehicles -- 2.1 Vehicle Propulsion -- 2.2 Electrified Vehicle Features -- 2.3 Electrified Powertrains -- 2.4 Battery Chemistry Applicability -- 3 Packs -- 3.1 Battery Pack Design -- 3.2 Battery Sizing -- 3.3 Pack Performance Targets -- 4 Current Technology -- 4.1 Energy and Power -- 4.2 Cell Design -- 4.3 Safety -- 4.4 Vehicles -- 5 Summary -- References -- 2 The Future of Lithium Availability for Electric Vehicle Batteries -- Abstract -- 1 Introduction -- 2 The Literature on Availability of Lithium for EV Batteries -- 3 Estimating Lithium Demand from EVs -- 3.1 The Future Size of the EV Market -- 3.2 Estimating Lithium Intensity -- 4 Lithium Supply -- 4.1 Geological Characteristics of Lithium -- 4.2 Production and Reserves -- 4.3 Recycling -- 4.4 Estimates of Future Supply -- 5 The Balance of Lithium Supply and Demand -- References -- 3 The Issue of Metal Resources in Li-Ion Batteries for Electric Vehicles -- Abstract -- 1 Introduction -- 2 Metal Requirements for Different LIB Chemistries -- 3 Relevance of LIB Chemistries Today and in the Future -- 4 Modelling of Resource Requirements -- 5 Results -- 6 Conclusions -- References -- 4 Will Current Electric Vehicle Policy Lead to Cost-Effective Electrification of Passenger Car Transport? -- Abstract -- 1 Government Support to Electric Vehicles -- 2 EV Deployment Policy and Its Effect on Innovation -- 3 Assessing the Incremental Cost of Different EV Mixes -- 4 EVs in the UK and California: Current Policy and Future Deployment -- 4.1 The UK -- 4.2 California -- 5 Fleet Structure and Driving Patterns in the UK and California -- 6 UK and California Scenario Analysis -- 6.1 The UK -- 6.2 California -- 7 Policy Analysis and Recommendations -- References. 5 Conventional, Battery-Powered, and Other Alternative Fuel Vehicles: Sustainability Assessment -- Abstract -- 1 Introduction -- 2 Sustainability Assessment of Urban Vehicles -- 2.1 Sustainability Dimensions -- 2.2 Sustainability Indicators -- 2.3 Vehicle Types -- 3 Quantification of Indicators -- 3.1 Emission and Energy Indicators -- 3.2 Environmental Sustainability Indicators -- 3.3 Technology Performance Sustainability Indicators -- 3.4 Energy Sustainability Indicators -- 3.5 Economic Sustainability Indicators -- 3.6 Users Sustainability Indicators -- 4 Aggregation of Indicators -- 4.1 Normalization and Vehicle Sustainability Indices -- 5 Results and Discussion -- 6 Conclusion -- References -- 6 Increasing the Fuel Economy of Connected and Autonomous Lithium-Ion Electrified Vehicles -- Abstract -- 1 Introduction -- 2 Perception Enabled by Connected and Autonomous Vehicle Technology -- 2.1 Camera Systems -- 2.2 Radio/Light Detection and Ranging -- 2.3 Global Navigation Satellite Systems -- 2.4 Drive Cycle Databases -- 2.5 Vehicle-to-Vehicle Communications -- 2.6 Vehicle-to-Infrastructure Communications -- 2.7 Vehicle-to-Everything Communications -- 3 Vehicle Plant and Controller Model -- 4 Planning Method 1: An Optimal Energy Management Strategy -- 4.1 Deriving the Optimal EMS -- 4.2 Optimal EMS Results -- 5 Planning Method 2: Eco-Driving -- 5.1 Deriving Eco-Driving Strategies -- 5.2 Eco-Driving Results -- 6 Planning Method 3: Eco-Driving and an Optimal Energy Management Strategy -- 6.1 Eco-Driving and an Optimal EMS Results -- 6.2 Comparing Planning Strategies -- 7 Conclusions -- References -- 7 Electric Commercial Vehicles in Mid-Haul Logistics Networks -- Abstract -- 1 Introduction -- 2 State of the Art -- 2.1 Strategic Planning on Charging Station Infrastructure -- 2.2 Electric Vehicle Routing -- 2.3 Competitiveness Analysis. 2.4 Battery Degradation -- 3 Real-World Application -- 3.1 The ELMO Project -- 3.2 The TEDi Case -- 4 Mixed Integer Program -- 5 Design of Experiments -- 6 Results -- 6.1 Economic and Ecological Benefits -- 6.2 Battery Degradation Effects -- 7 Conclusion -- References -- 8 Mechanical Design and Packaging of Battery Packs for Electric Vehicles -- Abstract -- 1 Introduction -- 2 Design Considerations -- 2.1 Thermal Runaway Protection -- 2.1.1 Point of Egress -- 2.1.2 Thermal Barrier -- 2.2 Structural Stability -- 2.2.1 Crash Protection -- 2.2.2 Vibration Isolation -- 3 Case Study-Swinburne eBus Battery Pack -- 3.1 Battery Cell Selection -- 3.2 Battery Pack Design -- 3.2.1 Final Design: Base Plate -- 3.2.2 Final Design: Casing -- 3.2.3 Final Battery Pack Assembly -- 4 Summary -- Acknowledgements -- References -- 9 Advanced Battery-Assisted Quick Charger for Electric Vehicles -- Abstract -- 1 Introduction -- 2 EV Charging -- 3 EV Charging Behavior: Influence of Temperature -- 4 Integrated QC System -- 4.1 Concept of Integrated QC System -- 4.2 Pilot BAQC System -- 5 Simultaneous Charging Tests -- 5.1 Comparison of Charging Performance -- 5.2 Influence of Contracted Power Capacity -- 5.3 Tests Performed During High Charging Demand -- 6 Conclusions -- Acknowledgements -- References -- 10 Charging Optimization Methods for Lithium-Ion Batteries -- Abstract -- 1 Introduction -- 2 Acceptable Charging Current Based on Polarization Voltage Model -- 2.1 Modeling of Charging Polarization Voltage -- 2.2 Characteristics of Charging Polarization Voltage -- 2.3 Evaluation of Acceptable Charging Current -- 3 Optimization of Polarization Voltage Model in High C-Rate Application -- 3.1 Model Optimization Based on the Butler-Volmer Equation -- 3.2 Parameter Extraction of the Optimized Model -- 3.3 Model Verification. 4 Charging Optimization Based on Temperature Rise and Charge Time -- 4.1 Enhanced Thermal Behavior Model -- 4.2 Formulation of Battery Charging Optimization -- 4.3 Optimal Charging Current Calculation -- 4.4 Validation of Optimized Charging Method -- References -- 11 State of Charge and State of Health Estimation Over the Battery Lifespan -- Abstract -- 1 Introduction -- 2 Battery State-of-Charge (SoC) -- 2.1 Cell Capacity Definition -- 2.2 SoC Definition -- 3 Battery State-of-Health (SoH) -- 3.1 Calendar Life -- 3.2 Cycling Life -- 3.3 Battery SoH Definition Based on Capacity Fade -- 3.4 Battery SoH Definition Based on Power Fade -- 4 Coulomb Counting -- 5 Open-Circuit Voltage SoC Estimation Method -- 6 Impedance Spectroscopy -- 7 Model-Based Approaches for Battery SoC and SoH Estimation -- 7.1 Kalman Filter-Based Estimation Techniques -- 7.2 Sliding-Mode Observer -- 7.3 Online Battery Parameter Identification for SoC and SoH Estimation -- 8 Battery SoH Estimation Using Mechanical Fatigue Theory -- 9 Conclusions -- References -- 12 Recycling of Batteries from Electric Vehicles -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Legislative Framework -- 2.1.1 European Union -- 2.1.2 People's Republic of China -- 2.1.3 USA -- 2.2 Return Flows of Waste Traction Batteries -- 2.2.1 Number of Traction Batteries Entering the Market -- 2.2.2 Estimated Return Flows of Waste Traction Batteries -- 2.2.3 Estimated Return Flows of Selected Battery Materials -- 3 Recycling of Traction Batteries -- 3.1 General Safety Measures During Handling -- 3.2 Extraction of Traction Batteries -- 3.3 Disassembly of Traction Batteries -- 3.4 Cell Recycling Processes -- 3.4.1 General Considerations Regarding Cell Recycling Processes -- 3.4.2 Processing of LIB Cells in Primary and Secondary Nickel Smelters -- 3.4.3 Umicore Battery Recycling Process -- 3.4.4 Duesenfeld Process. 3.4.5 Accurec Process -- 3.5 Economic Assessment of the Contained Metal Values -- 3.6 Life Cycle Assessment -- 4 Conclusions and Outlook -- References -- 13 Business Models for Repurposing a Second-Life for Retired Electric Vehicle Batteries -- Abstract -- 1 Introduction -- 2 Case Study Data -- 3 A Typology of Current B2U Business Models -- 3.1 Standard Business Model -- 3.2 Collaborative Business Model -- 3.2.1 Subtype 1. Assistant Collaborative-OEMs Assist B2U Solution Providers in the Final Solution Development -- 3.2.2 Subtype 2. Co-development Collaborative-OEMs Co-develop the Final Solution with B2U Solution Providers -- 3.2.3 Subtype 3. Integration-Collaborative-B2U Solution Providers Develop the Final Solution for the OEMs -- 3.3 Integrative Business Model -- 4 Challenges of Implementing B2U -- 4.1 Competitiveness -- 4.2 Uncertainty -- 4.2.1 Uncertain Flow of Second-Life Batteries -- 4.2.2 Uncertain Second-Life Battery Performance -- 4.2.3 Customers' Concerns Over Second-Life Batteries -- 4.3 Design -- 4.4 Regulation -- 5 Role of Business Models in B2U -- 6 How to Better Design Business Models for B2U -- 6.1 Lifecycle Thinking for Analysing the Potential Value of Second-Life Batteries -- 6.2 System-Level Design for Achieving the Potential Value of Second-Life Batteries -- 6.3 Shift to Services -- 7 Conclusions -- References. EBL201910 Engineering SzGeCERN EBL Lithium ion batteries EBL Power electronics BOOK Liaw, Boryann https://cds.cern.ch/auth.py?r=EBLIB_P_5287937 ebook n 201944 201910 21 PUBLIC https://catalogue.library.cern/legacy/2697905 BOOK MIGRATED 2697892 SzGeCERN 20200128202340.0 9781317534990 electronic version electronic version EBL 4771780 eng HD30.28.F573 2016 658.4/012 FitzRoy, Peter Strategic management the challenge of creating value 3rd ed. London Routledge 2016 519 p Cover -- Title -- Copyright -- CONTENTS -- List of figures and table -- About this book -- How to use the online resources -- About the authors -- Acknowledgements -- Section 1 STRATEGIC MANAGEMENT CONCEPTS -- 1 Managing strategically -- Strategic management in practice - News Corporation -- 1.1 Introduction -- Definition of strategic management terms -- Strategic decisions -- Strategy -- Strategic management -- 1.2 What determines firm success? -- What do we mean by success? -- What determines success? -- Persistence of success -- 1.3 The concept of the firm -- Managerial implications -- Corporate- and business unit-level strategy -- Defining a strategic business unit (SBU) -- 1.4 Dynamics of change -- 1.5 Strategic management process model -- Context -- Strategy -- Implementation -- Performance -- 1.6 Changes affecting strategic management -- Globalization -- Increased competition -- Technological change -- Knowledge intensity -- Corporate social responsibility and sustainability -- Deregulation and privatization -- 1.7 Summary -- Review questions -- References -- 2 Strategy process and practice -- Strategic management in practice - Intel -- 2.1 Introduction -- 2.2 Strategy work -- What is strategy work? -- Who does strategy work? -- Discourse, cognition, reasoning and emotion in strategy work -- 2.3 Strategy workers -- 2.4 Shaping strategy -- Insights on the strategy process -- Impediments to the strategy process -- 2.5 The creation of value for stakeholders -- 2.6 Tools of strategic analysis -- 2.7 Business models -- Components of a business model -- 2.8 Communication of strategy within and across organizations -- Communication within the organization -- Communication with external stakeholders -- 2.9 Summary -- Review questions -- References -- Section 2 STRATEGIC ANALYSIS -- 3 External analysis: the business environment. Strategic management in practice - GE/Alstom merger -- 3.1 Introduction -- Environmental scanning -- Select key variables -- Forecast changes -- Estimate the impact of the changes -- Levels of environmental analysis -- 3.2 The remote environment -- Economic -- Political -- Socio-cultural -- Technological -- Legal -- Environmental -- 3.3 The industry environment -- Industry value chain -- Limitations of the industry model -- 3.4 The business unit environment -- Customer analysis -- Analysing competitors -- 3.5 Multi-industry competition -- Network competition -- Corporate-level competition -- 3.6 Summary -- Review questions -- References -- 4 External analysis: the financial environment -- Strategic management in practice - Travelodge -- 4.1 Introduction -- 4.2 The two markets in which firms compete -- Competition in financial markets -- Competition in product markets -- Relationship between the two markets -- Market for corporate control -- The managerial challenge -- Risk types -- 4.3 Financial markets -- Major participants in financial markets -- Global nature of financial markets -- Current concerns with financial markets -- 4.4 Equity markets -- Types of investors -- The cost of equity capital -- 4.5 Debt markets -- Types of debt -- Ratings agencies -- Islamic banking -- 4.6 Cost of capital and firm valuation -- Firm valuation -- Accounting measures of profitability -- 4.7 Risk management and derivatives -- 4.8 Summary -- Review questions -- References -- 5 Internal analysis: managing capabilities, costs and knowledge -- Strategic management in practice - ARM Holdings -- 5.1 Introduction -- 5.2 Resources -- Tangible resources -- Intangible resources -- Classifying resources -- 5.3 Resources and capabilities -- 5.4 Capabilities and competitive advantage -- Valuable -- Scarce -- Non-imitable -- Sustainable -- Appropriable. 5.5 Dynamic capabilities -- 5.6 The value chain -- 5.7 Cost drivers -- Economies of scale -- Experience effect -- Value drivers -- 5.8 Knowledge and intellectual capital -- Types of knowledge -- Characteristics of knowledge products -- 5.9 Summary -- Review questions -- References -- Section 3 STRATEGY DEVELOPMENT -- 6 Creating future direction -- Strategic management in practice - Volkswagen Group -- 6.1 Introduction -- 6.2 Vision -- The vision statement -- Characteristics of vision statements -- Creating a vision statement -- 6.3 Values -- Values as a source of problems -- 6.4 Mission -- Corporate versus business unit mission statements -- Characteristics of mission statements -- Creating and changing a mission statement -- 6.5 Objectives -- Corporate and business unit objectives -- Financial and nonfinancial objectives -- Setting objectives -- Categories of financial objectives -- Financial structure -- Level of objectives -- Problems in setting objectives -- Synthesizing the concepts -- 6.6 Summary -- Review questions -- References -- 7 Business-level strategy -- Strategic management in practice - Tata Group -- 7.1 Introduction -- Corporate and business unit relationships -- Strategic management of the business -- Business vision and objectives -- 7.2 The changing product/market environment of the business -- Remote environment -- Industry environment -- Customer value -- Competitor analysis -- 7.3 Internal analysis for developing strategy -- The business value chain -- Cost drivers -- Business unit analysis -- 7.4 Developing business-level strategy -- A strategic decision framework -- 7.5 Where to compete -- Vertical positioning -- Horizontal positioning -- 7.6 How to compete -- Competitive business strategies -- Dynamics of competitive advantage -- Entry strategy -- Capabilities and architecture -- 7.7 Business growth. Product/market growth alternatives -- Capabilities/market alternatives -- Innovation and sources of value -- 7.8 Summary -- Review questions -- References -- 8 Corporate-level strategy -- Strategic management in practice - Thomas Cook Group -- 8.1 Introduction -- Understanding corporate structures -- Creating value -- 8.2 Elements of corporate strategy -- Creating future direction -- Style of the centre -- Portfolio management -- Diversification and relatedness among business units -- Financial decisions -- Other corporate decisions -- 8.3 Creating future direction -- 8.4 Style of the centre -- Synergy -- Centralized services -- 8.5 Managing the corporate portfolio -- Resource allocation - current and future portfolio -- Tools for allocating resources -- 8.6 Diversification -- Related diversification -- Unrelated diversification -- 8.7 Financial decisions -- Capital structure -- Dividend policy -- Share repurchases -- Senior management salary and incentive alternatives -- 8.8 Managing strategic risk -- Assessing strategy -- 8.9 Summary -- Review questions -- References -- 9 Managing innovation and the dynamic scope of the firm -- Strategic management in practice - Legrand SA -- 9.1 Introduction -- 9.2 Key considerations in innovation -- Features of innovation -- Organizing for innovation -- Types of innovation -- 9.3 Managing the dynamic scope of the firm -- Risk and innovation -- Means of changing scope -- 9.4 Managing the dynamic scope - internal development -- Technological innovation -- 9.5 Managing the dynamic scope - mergers and acquisitions -- Drivers of mergers and acquisitions -- Success of mergers and acquisitions -- Process model of mergers and acquisitions -- 9.6 Managing the dynamic scope - hybrid approaches -- Strategic alliances -- Licensing and technology purchase -- Equity investment -- Consortia -- Option buying. 9.7 Managing the dynamic scope - divestments, spin-offs and restructuring -- Divestments and spin-offs -- Restructuring -- 9.8 Summary -- Review questions -- References -- Section 4 STRATEGY IMPLEMENTATION -- 10 Leading organizational change -- Strategic management in practice - Whitbread -- 10.1 Introduction -- Drivers of change -- Changes in the firm -- 10.2 Characteristics of organizational change -- Change and the environment -- Change and the firm -- 10.3 The change process -- Initiating change -- Managing change -- Sustaining change: the organization of the future -- 10.4 Leadership -- Definition of leadership -- Leader versus manager -- Capabilities of leaders -- 10.5 Summary -- Review questions -- References -- 11 Design and organizational architecture -- Strategic management in practice - PerkinElmer -- 11.1 Introduction -- What is organizational architecture? -- 11.2 Structure -- The nature of structure -- Types of organizational structures -- 11.3 Processes and process management -- Key process management activities -- Business process re-engineering -- Information technology infrastructure -- Major IT initiatives -- Knowledge management systems -- 11.4 Human resources -- Managing resources and capabilities -- Succession planning -- Managing human resource policies -- 11.5 Summary -- Review questions -- References -- Section 5 ASSESSING STRATEGIC PERFORMANCE -- 12 Measuring organizational performance -- Strategic management in practice - Global automobile industry -- 12.1 Introduction -- 12.2 Performance measures -- Shareholder value and firm value -- Variables and measures -- Diagnostic use -- Financial and nonfinancial measures -- Benchmarking -- Need for a set of measures -- 12.3 Developing a performance measurement system -- Identifying and designing performance measures -- 12.4 Measuring business-level performance -- Customer measures. Internal measures. Hulbert, James M O'Shannassy, Timothy 9781138849235 print version oai:cds.cern.ch:2697892 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4771780 ebook ebook EBL201910 Information Transfer and Management SzGeCERN BOOK n 201944 201910 21 PUBLIC BOOK DELETED 2697851 SzGeCERN 20200503232041.0 9781134194629 electronic version electronic version EBL 4332532 eng HD30.255.C36 2001 658.408 Hillary, Ruth The CBI environmental management handbook challenges for business London Routledge 2000 241 p Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Foreword -- Introduction -- Section I: Sustainability and Biodiversity -- 1 Government Sustainability Strategy and its Meaning for Business -- 2 What is the Sustainable Enterprise? -- 3 The Business of Biodiversity -- 4 Accessing Biodiversity for Industry -- Section II: Climate Change -- 5 Climate Change: A Strategic Issue for Business -- 6 Climate Change: A Corporate View -- 7 Kyoto Targets: Their Impact on Business -- 8 Allocating Permits for Emission Trading -- Section III: Financial, Legal and Insurance Issues -- 9 Linking Corporate Financial and Environmental Performance -- 10 Green Funds and Their Growth and Influence on Corporate Environmental Strategy -- 11 Directors' and Officers' Personal Liability Under Environment Law -- 12 Environmental Risks and Opportunities: The Role of Insurance -- Section IV: Products, Producer Responsibility and Final Disposal -- 13 Integrated Product Policy -- 14 Producer Responsibility: Is Getting Your Own Back a Sustainable Option? -- 15 Extended Producer Responsibility: Electrical and Electronics Case -- 16 Packaging Waste Regulations: Do They Do Anything for the Environment? -- Section V: Mobility, Transport, Communication and IT -- 17 How can Business Respond to Green Transport Policy -- 18 Tesco's Integrated Logistics Management Systems: Creating Value Through Better Performance -- 19 Telecommunications Strategies for Future Growth and Flexible Working -- 20 Corporate Reputation and the Internet -- Section VI: Environmental Management Systems -- 21 Bite-sized Chunks of EMS for Smaller Firms -- 22 From EMS to Responsible Care Management Systems: A Logical Transition -- 23 The Future of Environmental Management Systems: Web-based Applications -- 24 Certification and Verification: A Legitimacy Issue -- Section VII: Energy Management. 25 The Goods, the Bads, the Carrots and the Stick: Climate Change Levy -- 26 How the Workforce Plays a Vital Role in Saving Energy and Reducing Waste: Perkins Engines -- 27 The Challenges of Renewable Energy -- 28 The Future is Bright, the Future is Blue -- Section VIII: Pollution Prevention, Air, Water and IPPC -- 29 European Air Quality Directives: Which Way is the Wind Blowing? -- 30 Implications for Industry of the EU Water Framework Directive -- 31 Practical Steps for IPPC Implementation -- 32 The Regulator's Perspective on IPPC -- Section IX: Technology and Innovation -- 33 Towards Sustainable Manufacturing: Techology Trends and Drivers -- 34 Clean Technology Saves Money -- 35 The Case for Giving Away a Good Thing -- Section X: Planning Challenges, Contaminated Land -- 36 Managing Corporate Real Estate: Learn to Stop Worrying and Add to the Bottom Line Instead -- 37 Contaminated Land and its Liabilities -- 38 Planning Restrictions and their Impacts on Businesses -- Section XI: Measuring and Reporting Environmental Performance and Stakeholder Dialogue -- 39 Why Failure to Report is a Risky Business -- 40 An Approach to Environmental Reporting: Anglian Water -- 41 Rewarding and Encouraging Reporting -- 42 Allied Domecq's Experience with Contour -- 43 Should Business Care? Facilitating Stakeholder Dialogue -- List of Acronyms and Abbreviations -- Useful Contacts -- Index of Advertisers -- Other Earthscan Titles of Interest. Jolly, Adam 9781853836374 print version oai:cds.cern.ch:2697851 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4332532 ebook ebook EBL201910 Information Transfer and Management SzGeCERN BOOK n 201944 21 PUBLIC BOOK DELETED 2697810 SzGeCERN 20200902225603.0 9789401138543 electronic version electronic version EBL 3106572 eng QC183.A344 1991 530.41700000000003 Allen, K W Adhesion 15 Dordrecht Springer 1966 244 p ADHESION 15 -- Editor's page -- Copyright -- Preface -- Contents -- 1 TESTING OF ADHESIVES - USEFUL OR NOT -- 2 AN EXPERIMENTAL ASSESSMENT OF THE COIN-TAP TECHNIQUE FOR DETECTING DEFECTS IN ADHESIVELY BONDED SHEET STEEL JOINTS -- 3 THE BLISTER TEST AS A MEANS OF EVALUATING THE PROPERTIES OF RELEASE AGENTS -- 4 THE USE OF PRIMERS IN BONDING POLYPROPYLENE -- 5 BONDING OF POLYOLEFINS WITH CYANOACRYLATE ADHESIVES -- 6 POLYURETHANES AND ISOCYANATES CONTAINING HYDROPHILIC GROUPS AS POTENTIAL COMPONENTS OF WATER-BORNE ADHESIVES -- 7 INTERACTION OF CHROMIUM COMPOUNDS WITH POLYURETHANES -- 8 SESSILE DROPS ON HETEROGENEOUS : SURFACES STATIC AND DYNAMIC BEHAVIOUR -- 9 THE USE OF OPTICALLY STIMULATED ELECTRON EMISSION FOR THE DETECTION OF SURFACE CONTAMINATION -- 10 XPS STUDIES OF THE INTERFACE BETWEEN PMMA AND ALUMINIUM -- 11 INFLUENCE OF ENVIRONMENTAL CONDITIONS ON ADHESIVE JOINT FAILURE -- 12 DEVELOPMENT AND STUDY OF HYDROPHILLIC EPOXY BASED ADHESIVES. -- 13 PROMOTING THE EXPLOITATION OF ADHESIVES IN INDUSTRY -- 14 THE DEVELOPMENT AND TRANSFER OF ADHESIVES TECHNOLOGY AT PERA. 9781851665846 print version oai:cds.cern.ch:2697810 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3106572 ebook ebook EBL201910 General Theoretical Physics SzGeCERN BOOK n 201944 21 PUBLIC BOOK DELETED 2697798 SzGeCERN 20191219215717.0 9789401169677 electronic version electronic version EBL 3106318 eng TK7868.P7.C543 1991 621.381/531 Hymes, Les Cleaning printed wiring assemblies in today's environment Dordrecht Springer 1991 237 p CLEANING PRINTED WIRING ASSEMBLIES IN TODAY'S ENVIRONMENT -- Editor's page -- Copyright -- Contents -- Acknowledgments -- Preface -- 1 Design and Process Considerations -- 2 Flux Considerations with Emphasis on Low Solids -- 3 Solvent Defluxing of Printed Wiring Board Assemblies and Surface Mount Assemblies: Materials, Processes, and Equipment -- 4 Aqueous Defluxing: Materials, Processes, and Equipment -- 5 Alternate Defluxing: Materials, Processes, and Equipment -- 6 Defluxing for High Reliability Applications and General Environmental Issues -- BIBLIOGRAPHY -- Index. 9789401169691 print version oai:cds.cern.ch:2697798 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3106318 ebook ebook EBL201910 Engineering SzGeCERN BOOK n 201944 21 PUBLIC BOOK DELETED 2697783 SzGeCERN 20191219215717.0 9789401569187 electronic version electronic version EBL 3105995 eng QD462 .Q368 1982 541.28 Daudel, Raymond Quantum theory of chemical reactions chemisorption, catalysis, biochemical reactions Dordrecht Springer 1982 175 p QUANTUM THEORY OF CHEMICAL REACTIONS -- Editor's page -- Copyright -- TABLE OF CONTENTS -- PREFACE -- THEORETICAL BACKGROUND OF HETEROGENEOUS CATALYSIS -- ANALYSIS OF CO-METAL CLUSTER INTERACTION ENERGIES BY THE HARTREE-FOCK-SLATER METHOD -- CHEMISORPTIVE PROPERTIES OF TRANSITION METAL CLUSTERS -- GAS. ORGANIC SOLID STATE REACTIONS AND THEIR APPLICATIONS -- SOME THEORETICAL QUESTIONS CONCERNING. THE MECHANISM OF FISCHER-TROPSCH SYNTHESIS. -- ENVIRONMENTAL EFFECTS ON PROTON TRANSFER. AB INITIO CALCULATIONS ON SYSTEMS IN A SEMI-CLASSICAL, POLARIZABLE ENVIRONMENT. -- RECENT QUANTUM/STATISTICAL MECHANICAL STUDIES ON ENZYME ACTIVITYx SERINE PROTEASES AND ALCOHOL DEHYDROGENASES. -- APPLICATIONS OF QUANTUM CHEMISTRY TO PHARMACOLOGY -- ON THE PHARMACOPHORE AND MODE OF ACTION OF SOME SCHISTOSOMICIDAL AGENTS. CONFORMATIONAL ASPECT. -- INTERMOLECULAR INTERACTIONS AND SOLVENT EFFECTS : SIMPLIFIED THEORETICAL METHODS -- INDEX OF SUBJECTS. Pullman, Alberte Salem, Lionel Veillard, A 9789401569200 print version oai:cds.cern.ch:2697783 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3105995 ebook ebook EBL201910 Chemical Physics and Chemistry SzGeCERN BOOK n 201944 21 PUBLIC BOOK DELETED 2697766 SzGeCERN 20191219215716.0 9789401128070 electronic version electronic version EBL 3105706 eng TD171.8.J36 1992 658.4/08 Janssen, Ron Multiobjective decision support for environmental management Dordrecht Springer 1992 239 p MULTIOBJECTIVE DECISION SUPPORT FOR ENVIRONMENTAL MANAGEMENT -- Copyright -- Preface -- Acknowledgements -- TABLE OF CONTENTS -- 1. INTRODUCTION TO DECISION SUPPORT -- 2. ENVIRONMENTAL DECISION MAKING -- 3. METHODS FOR MULTIOBJECTIVE DECISION SUPPORT -- 4. SENSITIVITY ANALYSIS FOR MULTIOBJECTIVE DECISION SUPPORT -- 5. A MULTIOBJECTIVE DECISION SUPPORT SYSTEM FOR ENVIRONMENTAL PROBLEMS1 -- 6. VALUATION AND UNCERTAINTY IN MULTIOBJECTIVE DECISION SUPPORT -- 7. SPACE IN MULTIOBJECTIVE DECISION SUPPORT -- 8. TIME AND SPACE IN MULTIOBJECTIVE DECISION SUPPORT -- 9. CONCLUSIONS -- REFERENCES -- INDEX. 9789401052474 print version oai:cds.cern.ch:2697766 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3105706 ebook ebook EBL201910 Information Transfer and Management SzGeCERN BOOK n 201944 21 PUBLIC BOOK DELETED 2697757 SzGeCERN 20191219215715.0 9789401712095 electronic version electronic version 9789048153046 print version oai:cds.cern.ch:2697757 cerncds:BOOK EBL 3105396 eng TD345.D383 1999 025.06/33391/00947 Naff, Thomas Data sharing for international water resource management Eastern Europe, Russia and the CIS Dordrecht Springer 1999 257 p Data Sharing for International Water Resource Management: Eastern Europe, Russia and the CIS -- Editor's page -- Copyright -- TABLE OF CONTENTS -- PREFACE ~ ACKNOWLEDGEMENTS -- INTRODUCTION -- A CASE FOR DATA SHARING AND DATABASE NETWORKS IN THE MANAGEMENT OF WATER RESOURCES AND THE ENVIRONMENT -- NOTES ON DATABASE MANAGEMENT SYSTEMS -- HYDROLOGIC DATA COLLECTION FOR RIVER BASIN MANAGEMENT -- DATA STANDARDIZATION -- LANDMASS AND WATER ECOSYSTEM DISTURBANCES IN RUSSIA AND ITS EUROPEAN NEIGHBORS: A COMPARISON -- DATA COLLECTION FOR THE IMPROVEMENT OF ENVIRONMENTAL IMPACT ASSESSMENT (EIA) PROCEDURES AND OF HYDRO-TECHNICAL UNITS IN THE UKRAINE -- PROBLEMS OF DATA: Monitoring the Quantity and Quality of Water Resources in Belarus -- WATER RESOURCES PROTECTION AND ECOLOGICAL DATA IN THE REPUBLIC OF KAZAKHSTAN -- NEW APPROACHES TO WATER QUALITY MANAGEMENT IN THE RIVER BASINS OF UKRAINE -- HUNGARIAN NATIONAL DATABASE OF WATER AND WASTEWATER MANAGEMENT -- DATABASES AND INFORMATION SYSTEMS (IS) OF THE ARAL SEA BASIN STATES -- A DATABASE ON ENVIRONMENTAL IMPACT ASSESSMENT IN A TRANSBOUNDARY CONTEXT (EIATC) -- DISTRIBUTED DATABASE SYSTEMS IN THE MANAGEMENT OF THE ENVIRONMENT AND WATER: ALBANIA -- WATER QUALITY DATA COLLECTION AND SHARING BETWEEN HUNGARY AND NEIGHBORING COUNTRIES -- DEVELOPMENT OF THE HYDROLOGICAL SUBSYSTEM OF THE WATER MANAGEMENT INFORMATION SYSTEM IN HUNGARY -- SOIL VULNERABILITY MAPPING IN CENTRAL AND EASTERN EUROPE -- NATURAL RESOURCES INFORMATION -- INTERNATIONAL ENVIRONMENTAL DATABASES: OPTIMAL UTILITY / LOW COST -- U.S. BUREAU OF RECLAMATION DISTRIBUTED DATABASE APPLICATIONS -- THE RIVER MANAGEMENT DECISION SUPPORT SYSTEM (RIMDESS♭) -- LIST OF AUTHORS -- INDEX. https://cds.cern.ch/auth.py?r=EBLIB_P_3105396 ebook ebook EBL201910 Information Transfer and Management SzGeCERN BOOK n 201944 21 PUBLIC BOOK DELETED 2697714 SzGeCERN 20191219215714.0 9789401115629 electronic version electronic version EBL 3104223 eng TK7874.I587 1993 621.39/5 Netherlands, Springer Introduction to VLSI process engineering Dordrecht Springer 1993 222 p Introduction to VLSI Process Engineering -- Editor's page -- Copyright -- Contents -- Editors and contributors -- Preface to the English language edition -- Preface -- 1 Coming age of VLSI -- 2 Semiconductor market -- 3 Evolution of semiconductors -- 4 Characteristics of VLSI -- 5 VLSI process engineering operations -- 6 Packaging and process monitoring technology -- 7 Production of silicon wafers and environmental problems -- 8 Process engineering aspects of VLSI production -- Appendix A: Glossary -- Appendix B: List of Abbreviations -- References -- Index. Sugawara, K McGreavy, C 9789401046824 print version oai:cds.cern.ch:2697714 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3104223 ebook ebook EBL201910 Engineering SzGeCERN BOOK n 201944 21 PUBLIC BOOK DELETED 2697702 SzGeCERN 20191219215714.0 9789401119108 electronic version electronic version EBL 3103990 eng TK9152.S234 1993 621.48/335/0289 Mannone, F Safety in tritium handling technology Dordrecht Springer 1993 240 p Safety in Tritium Handling Technology -- Editor's page -- Copyright -- TABLE OF CONTENTS -- PREFACE -- List of Lecturers -- ACKNOWLEDGEMENTS -- FUNDAMENTALS ON TRITIUM -- TRITIUM PROCESSING USING SCAVENGER BEDS: THEORY AND OPERATION -- TRITIUM HANDLING OPTIONS: FROM NET TO POWER REACTOR -- TRITIUM MATERIALS INTERACTIONS -- TRITIUM STORAGE -- TRITIUM CONTAINMENT -- RADIATION PROTECTION - TRITIUM INSTRUMENTATION AND MONITORING METHODS -- TRITIUM BIOLOGICAL HAZARD AND DOSIMETRY -- RADIOLOGICAL PROTECTION AND ENVIRONMENTAL SAFETY -- DISMANTLING OF TRITIATED FACILITIES MANAGEMENT OF TRITIATED WASTES -- JET TRITIUM EXPERIENCE. 9789401048446 print version oai:cds.cern.ch:2697702 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3103990 ebook ebook EBL201910 Engineering SzGeCERN BOOK n 201944 21 PUBLIC BOOK DELETED 2697700 SzGeCERN 20191219215714.0 9789401115186 electronic version electronic version EBL 3103936 eng HC79.E5.E266 1993 658.4/08 Barbier, Edward B Economics and ecology new frontiers and sustainable development Dordrecht Springer 1975 218 p Economics and Ecology -- Editor's page -- Copyright -- Contents -- Contributors -- Preface -- Acknowledgements -- 1 Introduction: economics and ecology - the next frontier -- 2 Environmentally sustainable development: optimal economic conditions1 -- 3 Ecological economic systems analysis: order and chaos -- 4 Sustainable agriculture: thetrade-offs with productivity,stability and equitability -- 5 Stress, shock and the sustainability of optimal resource utilization in a stochastic environment -- 6 Economic and ecological carrying capacity: applications to pastoral systems in Zimbabwe.1 -- 7 Tropical forests and biodiversity conservation: a new ecological imperative -- 8 Optimal economic growth and the conservation of biological diversity -- 9 The viewing value of elephants -- 10 Ecology and economics in small islands: constructing a framework for sustainable development -- 11 Sustainable economic development: economic and ethical principles -- 12 Postscript -- Index. 9789401046633 print version oai:cds.cern.ch:2697700 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3103936 ebook ebook EBL201910 Information Transfer and Management SzGeCERN BOOK n 201944 21 PUBLIC BOOK DELETED 2697684 SzGeCERN 20191219215714.0 9789401009089 electronic version electronic version EBL 3103555 eng GE300.A343 2001 658.4/08 Green, Ken Ahead of the curve cases of innovation in environmental management Dordrecht Springer 2001 236 p AHEAD OF THE CURVE -- Editor's page -- Copyright -- TABLE OF CONTENTS -- PREFACE -- Chapter 1 AHEAD OF THE CURVE: INTRODUCTION -- Chapter 2 THE ROLE OF VISIONING IN ENVIRONMENTAL MANAGEMENT AND ORGANISATIONAL CHANGE: THE CASE OF ABITIBI-PRICE -- Chapter 3 INTRODUCING ENVIRONMENTAL MANAGEMENT IN A PRINTING COMPANY -- Chapter 4 WASTE COSTING FOR A KOREAN STEELP RODUCER -- Chapter 5 SUSTAINABLE BANKING AT THE RABOBANK1 -- Chapter 6 THE EMERGENCE OF CONSERVATION BANKING IN SOUTHERN CALIFORNIA1 -- Chapter 7 GREENPEACE'S 'GREENFREEZE CAMPAIGN' -- Chapter 8 MOBILITY CARSHARING -- Chapter 9 NETWORKING TOWARD SUSTAINABILITY - VALUE ADDED? -- Chapter 10 ENVIRONMENTAL INNOVATION IN REFINING AND CHEMICALS -- Chapter 11 THE UPTAKE OF CLEANER PRODUCTION IN SUB-SAHARAN AFRICA -- Chapter 12 AVOCET: NOT FOR THE WANT OF TRYING....... -- Chapter 13 ON BECOMING AN 'ENERGY EFFICIENT COMPANY': The Adoption of an Advanced Energy System in an Italian Plastic Manufacturer1. Groenewegen, Peter Hofman, Peter S 9789401038157 print version oai:cds.cern.ch:2697684 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3103555 ebook ebook EBL201910 Information Transfer and Management SzGeCERN BOOK n 201944 21 PUBLIC BOOK DELETED 2697667 SzGeCERN 20191219215713.0 9789401000338 electronic version electronic version EBL 3103158 eng TK7886.C667 2003 621.39160286000003 Tukker, Arnold Computers and the environment understanding and managing their impacts Dordrecht Springer 2003 284 p COMPUTERS AND THE ENVIRONMENT: UNDERSTANDING AND MANAGING THEIR IMPACTS -- Editor's page -- Copyright -- TABLE OF CONTENTS -- PREFACE -- Chapter 1 COMPUTERS AND THE ENVIRONMENT-AN INTRODUCTION TO UNDERSTANDING AND MANAGING THEIR IMPACTS -- Chapter 2 INFORMATION TECHNOLOGY PRODUCTS AND THE ENVIRONMENT -- Chapter 3 ENVIRONMENTAL IMPACTS IN THE PRODUCTION OF PERSONAL COMPUTERS -- Chapter 4 HOW THE EUROPEAN UNION'S WEEE DIRECTIVE WILL CHANGE THE MARKET FOR ELECTRONIC EQUIPMENT-TWO SCENARIOS -- Chapter 5 IBM'S ENVIRONMENTAL MANAGEMENT OF PRODUCT ASPECTS -- Chapter 6 ENVIRONMENTAL MANAGEMENT AT FUJITSU SIEMENS COMPUTERS -- Chapter 7 ENERGY CONSUMPTION AND PERSONAL COMPUTERS -- Chapter 8 PCS AND CONSUMERS-A LOOK AT GREEN DEMAND, USE, AND DISPOSAL -- Chapter 9 STRATEGIZING THE END-OF-LIFE HANDLING OF PERSONAL COMPUTERS: RESELL, UPGRADE, RECYCLE -- Chapter 10 TODAY'S MARKETS FOR USED PCS-AND WAYS TO ENHANCE THEM -- Chapter 11 RECYCLING PERSONAL COMPUTERS -- Chapter 12 OPERATIONS OF A COMPUTER EQUIPMENT RESOURCE RECOVERY FACILITY -- Chapter 13 MANAGING PCS THROUGH POLICY: REVIEW AND WAYS TO EXTEND LIFESPAN -- CONTRIBUTORS -- INDEX. Kuehr, Ruediger Williams, Eric 9781402016806 print version oai:cds.cern.ch:2697667 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3103158 ebook ebook EBL201910 Engineering SzGeCERN BOOK n 201944 21 PUBLIC BOOK DELETED 2697661 SzGeCERN 20191219215713.0 9789401027946 electronic version electronic version EBL 3103049 eng HD38 .S484 1972 658.4 Beyer, Gunther Social sciences in management an environmental view Dordrecht Springer 1972 116 p SOCIAL SCIENCES IN MANAGEMENT -- Copyright -- TABLE OF CONTENTS -- PREFACE -- CHAPTER I INTRODUCTION -- CHAPTER II SYNTHESIZING SOCIAL SCIENCES -- CHAPTER III SOCIAL SCIENCES INTEGRATION MODEL -- CHAPTER IV SOCIAL SCIENCES INTEGRATION IN THE FUTURE -- CHAPTER V SUMMARY AND CONCLUSION -- CHAPTER VI SOCIAL SCIENCES INTEGRATION MODEL DEPLOYMENT -- CHAPTER VII ANNOTATED BIBLIOGRAPHY -- SUBJECT INDEX -- AUTHOR INDEX. Sethi, Narendra K 9789024712915 print version oai:cds.cern.ch:2697661 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3103049 ebook ebook EBL Management EBL201910 Information Transfer and Management SzGeCERN BOOK n 201944 21 PUBLIC BOOK DELETED 2697645 SzGeCERN 20210421201830.0 9789400926578 electronic version electronic version 9780792312703 print version oai:cds.cern.ch:2697645 cerncds:BOOK EBL 3102422 eng LC8-6691 510.71 Bishop, A J Mathematical enculturation a cultural perspective on mathematics education Dordrecht Springer 1988 209 p ebook MATHEMATICAL ENCULTURATION -- Mathematics Education Library VOLUME 6 -- MATHEMATICAL ENCULTURATION -- Copyright -- TABLE OF CONTENTS -- PREFACE -- ACKNOWLEDGEMENTS -- CHAPTER 1 TOWARDS A WAY OF KNOWING -- CHAPTER 2 ENVIRONMENTAL ACTIVITIES AND MATHEMATICAL CULTURE -- CHAPTER 3 THE VALUES OF MATHEMATICAL CULTURE -- CHAPTER 4 MATHEMATICAL CULTURE AND THE CHILD -- CHAPTER 5 MATHEMATICAL ENCULTURATION - THE CURRICULUM -- CHAPTER 6 MATHEMATICAL ENCULTURATION - THE PROCESS -- CHAPTER 7 THE MATHEMATICAL ENCULTURATORS -- NOTES -- BIBLIOGRAPHY -- INDEX OF NAMES -- APPENDIX: MATHEMATICAL INVESTIGATIONS. EBL201910 Mathematical Physics and Mathematics SzGeCERN BOOK Bishop, Alan J https://cds.cern.ch/auth.py?r=EBLIB_P_3102422 ebook n 201944 21 PUBLIC https://catalogue.library.cern/legacy/2697645 BOOK MIGRATED 2697571 SzGeCERN 20191219215711.0 9783662091111 electronic version electronic version EBL 3100534 eng R860.N373 2004 610.28399999999999 Wolfbeis, Otto S Optical sensors industrial environmental and diagnostic applications Berlin Springer 2004 438 p SPRINGER SERIES ON CHEMICAL SENSORS AND BIOSENSORS 01 Optical Sensors -- Optical Sensors -- Copyright -- Preface -- Contents -- Contributors -- CHAPTER 1 Optical Technology until the Year 2000: An Historical Overview -- CHAPTER 2 Molecularly Imprinted Polymers for Optical Sensing Devices -- CHAPTER 3 Chromogenic and Fluorogenic Reactands: New Indicator Dyes for Monitoring Amines, Alcohols and Aldehydes -- CHAPTER 4 Design, Quality Control and Normalization of Biosensor Chips -- CHAPTER 5 Rapid, Multiplex Optical Biodetection for Point-of-Care Applications -- CHAPTER 6 Multi-functional Biochip for Medical Diagnostics and Pathogen Detection -- CHAPTER 7 Surface Plasmon Resonance Biosensors for Food Safety -- CHAPTER 8 NIR Dyes for Ammonia and HCl Sensors -- CHAPTER 9 Piezo-Optical Dosimeters for Occupational and Environmental Monitoring -- CHAPTER 10 Interferometric Biosensors for Environmental Pollution Detection -- CHAPTER 11 Fibre Optic Sensors for Humidity Monitoring -- CHAPTER 12 Optical Sensing of pH in Low Ionic Strength Waters -- CHAPTER 13 Environmental and Industrial Optosensing with Tailored Luminescent Ru(II) Polypyridyl Complexes -- CHAPTER 14 TIRF Array Biosensor for Environmental Monitoring -- CHAPTER 15 Optical Techniques for Determination and Sensing of Hydrogen Peroxide in Industrial and Environmental Samples -- Subject Index. Narayanaswamy, Ramaier 9783642074219 print version oai:cds.cern.ch:2697571 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3100534 ebook ebook EBL201910 Health Physics and Radiation Effects SzGeCERN BOOK n 201944 21 PUBLIC BOOK DELETED 2697543 SzGeCERN 20191219215711.0 9783709176221 electronic version electronic version EBL 3100229 eng TK9202.K477 1983 621.48299999999995 Bauer, L Nuclear fission reactors potential role and risks of converters and breeders Vienna Springer 1983 277 p Intro -- Topics in Energy Nuclear Fission Reactors -- Copyright -- Foreword -- Preface -- Contents -- List of Abbreviations -- 1 Introduction -- 2 Some Basic Physics of Converter and Breeder Reactors -- 3 Nuclear Fuel Supply -- 4 Converter Reactors with a Thermal Neutron Spectrum -- 5 Breeder Reactors with a Fast Neutron Spectrum -- 6 Nuclear Fuel Cycle Options -- 7 Technical Aspects of Nuclear Fuel Cycles -- 8 Environmental Impacts and Risks of Nuclear Fission Energy -- Subject Index. Foell, W K Grenon, M 9783709176245 print version oai:cds.cern.ch:2697543 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3100229 ebook ebook EBL201910 Engineering SzGeCERN BOOK n 201944 21 PUBLIC BOOK DELETED 2697536 SzGeCERN 20210421201831.0 9783662053300 electronic version electronic version 9783662053324 print version oai:cds.cern.ch:2697536 cerncds:BOOK EBL 3100147 eng QC665.S3.B67 2003 539.20000000000005 Guzzi, Rodolfo Scattering from model nonspherical particles theory and applications to environmental physics Berlin Springer 2003 257 p ebook Scattering from Model Nonspherical Particles -- Copyright -- Preface -- Contents -- 1. Multipole Fields -- 2. Propagation Through an Assembly of Nonspherical Scatterers -- 3. Multipole Expansions and Transition Matrix -- 4. Transition Matrix of Single and Aggregated Spheres -- 5. Scattering from Particles on a Plane Surface -- 6. Applications: Aggregated Spheres, Layered Spheres, and Spheres Containing Inclusions -- 7. Applications: Single and Aggregated Spheres and Hemispheres on a Plane Interface -- 8. Applications: Atmospheric Ice Crystals -- 9. Applications: Cosmic Dust Grains -- A. Appendix -- References -- Index. EBL201910 Other Fields of Physics SzGeCERN BOOK Lanzerotti, Louis Imboden, Dieter https://cds.cern.ch/auth.py?r=EBLIB_P_3100147 ebook n 201944 21 PUBLIC https://catalogue.library.cern/legacy/2697536 BOOK MIGRATED 2697529 SzGeCERN 20191219215710.0 9783662131619 electronic version electronic version EBL 3100089 eng TJ241T55.4-60.8TK78 621.381/5 Riley, Frank Electronics assembly handbook Berlin Springer 1988 576 p The ELECTRONICS ASSEMBLY HANDBOOK -- Editor's page -- Copyright -- Acknowledgements -- Preface -- CONTENTS -- ERRATUM -- CHAPTER 1 THE CHANGING WORLD OF ELECTRONICS ASSEMBLY -- CHAPTER 2 CIRCUIT BOARDS -- CHIP-ON-BOARD -- CHAPTER 3 COMPONENT INSERTION -- ROBOTIC ASSEMBLY -- ROBOTIC APPLICATION -- CHAPTER 4 SURFACE-MOUNT TECHNOLOGY -- THE DEMANDS OF SMT -- CHAPTER 5 HYBRID CIRCUITS -- CHAPTER 6 SOLDERING AND CLEANING -- SOLDER QUALITY DEFINITION -- WAVE SOLDERING -- ADHESIVES -- THE ROLE OF SOLDER PASTE -- CLEANING SOLDERED ASSEMBLIES -- REPAIRING SOLDERED ASSEMBLIES -- CHAPTER 7 TEST AND INSPECTION -- VERIFICATION OF INCOMING COMPONENTS AND CIRCUIT BOARDS -- VERIFYING COMPONENT QUALITY -- LEAD INSPECTION -- SPECIAL PROBLEMS OF HYBRID AND SMT INSPECTION -- INSPECTING SOLDERED JOINTS -- SPECIAL PROBLEMS OF SURFACE-MOUNTED AND HYBRID CIRCUIT CONSTRUCTION -- TESTING COMPLETED ASSEMBLIES -- AUTOMATING THE TEST FUNCTION -- CHAPTER 8 ENVIRONMENTAL CONCERNS IN ELECTRONICS ASSEMBLY -- CLEAN ROOMS -- PERSONAL DISCIPLINE -- PROTECTION AGAINST ELECTROSTATIC DAMAGE -- CHAPTER 9 THE ROLE OF CAE/CAD/CAM IN ELECTRONICS MANUFACTURING -- CHAPTER 10 AUTOMATING ELECTRONIC MANUFACTURING -- PHYSICAL INTEGRATION -- CASE HISTORIES IN ELECTRONIC ASSEMBLY AUTOMATION -- Authors' organizations and addresses. Electronic Packaging and Production 9783662131633 print version oai:cds.cern.ch:2697529 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_3100089 ebook ebook EBL201910 Engineering SzGeCERN BOOK n 201944 21 PUBLIC BOOK DELETED 2705379 SzGeCERN 20210421201203.0 9781447140573 electronic version electronic version print version 9781447161639 print version 9781447140580 print version 9781447140566 DOI 10.1007/978-1-4471-4057-3 ebook oai:cds.cern.ch:2705379 cerncds:BOOK eng HD9502-9502.5 333.79 23 338.926 23 Yang, Ming Negotiation in decentralization case study of China's carbon trading in the power sector London Springer 2012 ebook Green energy and technology 1865-3529 Executive Summary -- Chapter 1 Introduction -- Chapter 2 Research Background and Review -- Chapter 3 Negotiation Issues in China's Power Industry -- Chapter 4 -- Methodological Framework -- Chapter 5 Case Studies -- Chapter 6 Conclusions and Implications. The Chinese government set a target to reduce China’s carbon intensity by 40%-45% in 2020 at its 2005 level. To achieve this target, the government has allocated targets to provinces, cities, and large enterprises, and selected five pilot provinces and eight cities for CO2 emission trading. Such emission trading process will involve decentralization, optimization, and negotiation. The prime objective of this book is to perform academic research on simulating the negotiation process. Through this research, a methodological framework and its implementation are set up to analyze, model and facilitate the process of negotiation among central government and individual energy producers under environmental, economical and social constraints. Negotiation in Decentralization: Case Study of China's Carbon Trading in the Power Sector discusses research carried out on negotiation issues in China regarding Chinese power sector reform over the past 30 years. Results show that conflicts exist between power groups and the national government, and that the most current negotiation topics in China's power industry are demand and supply management, capital investment, energy prices, and CO2 emission mitigations. Negotiation in Decentralization: Case Study of China's Carbon Trading in the Power Sector is written for government policy makers, energy and environment industry investors, energy program/project managers, environment conservation specialists, university professors, researchers, and graduate students. It aims to provide a methodology and a tool that can resolve difficult negotiation issues and change a loss-loss situation to a win-win situation for key players in a decentralized system, including government policymakers, energy producers, and environment conservationists. Engineering SPR201912 SzGeCERN Engineering SPR Energy policy SPR Energy and state SPR Environmental economics SPR Energy Policy, Economics and Management SPR Environmental Economics BOOK Yang, Fan SPR n 201951 21 PUBLIC https://catalogue.library.cern/legacy/2705379 BOOK MIGRATED 2705167 SzGeCERN 20210421201233.0 9781838553524 9781838555276 oai:cds.cern.ch:2705167 cerncds:BOOK SAFARI 9781838555276 eng QA76.585 .C537 2019 004.6782 Cłapa, Konrad Professional cloud architect Google Cloud Certification guide : a handy guide to designing, developing, and managing enterprise-grade GCP cloud solutions Birmingham Packt Publishing 2019 503 p ebook Cover -- Title Page -- Copyright and Credits -- Dedication -- About Packt -- Foreword -- Contributors -- Table of Contents -- Preface -- Section 1: Introduction to GCP -- Chapter 1: GCP Cloud Architect Professional -- The benefits of being a certified architect -- Registering for the exam -- What to expect from the exam -- Some tips -- Summary -- Further reading -- Chapter 2: Getting Started with Google Cloud Platform -- Introducing the cloud -- Understanding GCP -- GCP differentiators -- GCP locations -- Resource manager -- Organizations -- Folders -- Projects -- Resources scope -- Global resources -- Regional resources -- Zonal resources -- Managing projects -- Granting permissions -- Billing -- Managing billing accounts -- Assigning a project to a billing account -- Exporting billing -- Budgets and alerts -- Billing account roles -- Summary -- Further reading -- Chapter 3: Google Cloud Platform Core Services -- Computing and hosting services -- Storage services -- Networking services -- Big data services -- ML services -- Identity services -- Summary -- Further reading -- Section 2: Managing, Designing, and Planning a Cloud Solution Architecture -- Chapter 4: Working with Google Compute Engine -- Code in Action -- Deploying our first GCE instance -- Deployment options -- Region -- Zone -- Boot disk -- Application images -- Snapshots -- Existing disks -- Management | Labels -- Management | Deletion protection -- Management | Metadata -- Management | Startup scripts -- Management | Preemptibilty -- Management | Availability policy -- Management | Automatic restart -- Security | Shielded VM -- Disks | Deletion rule -- Sole tenancy | Node affinity labels -- GPUs and TPUs -- Instance templates and instance groups -- Setting the location -- Port name mapping -- Autoscaling -- Autohealing -- Quotas and limits -- IAM roles -- Pricing -- Summary. Further reading -- Chapter 5: Managing Kubernetes Clusters with Google Kubernetes Engine -- An introduction to microservices -- Containers -- Docker -- Kubernetes -- Kubernetes architecture -- The master node -- Worker nodes -- Kubernetes objects -- Pods -- Replica sets -- Deployments -- Namespaces -- Services -- Types of services -- Google Kubernetes Engine -- Node pools -- Container-Optimized OS -- Storage -- GKE cluster management -- Creating a GKE cluster -- Advanced configuration -- Networking -- Security -- Stackdriver -- Additional features -- Deploying our first application -- Cluster second-day operations -- Upgrading the cluster -- Auto-upgrades -- Auto-repair -- Resizing the cluster -- Autoscaling a cluster -- Rotating the master IP -- IAM -- Kubernetes role-based access control -- Container Registry -- Cloud Build -- Quotas and limits -- Pricing -- Summary -- Further reading -- Chapter 6: Exploring Google App Engine as a Compute Option -- Code in Action -- App Engine components -- Choosing the right location -- Working with App Engine -- Environment types -- App Engine Standard environment -- Flexible environment -- Deploying an App Engine application -- Versions -- Splitting traffic -- Migrating traffic -- Firewall rules -- Settings -- Custom domain -- SSL certificates -- Scaling -- Cron jobs -- Memcache -- IAM -- Quotas and limits -- Pricing -- Summary -- Further reading -- Chapter 7: Running Serverless Functions with Google Cloud Functions -- Main Cloud Functions characteristics -- Use cases -- Application backends -- Real-time data processing systems -- Smart applications -- Runtime environments -- Types of Cloud Functions -- HTTP functions -- Background functions -- Events -- Triggers -- Other considerations -- Cloud SQL connectivity -- Connecting to internal resources in a VPC network -- Environmental variables -- Cold start. Local emulator -- Deploying Cloud Functions -- Deploying Cloud Functions with the Google Cloud Console -- Deploying functions with the gcloud command -- Triggers -- IAM -- Quotas and limits -- Pricing -- Cloud Run -- Summary -- Further reading -- Chapter 8: Networking Options in GCP -- Exploring GCP networking -- Understanding Virtual Private Cloud -- Connectivity -- Cost -- VPC Flow Logs -- Cross-VPC connectivity -- Shared VPC -- VPC peering -- Choosing between shared VPC and VPC peering -- Load balancing -- Global versus regional load balancing -- External versus internal -- Proxy versus load balancer -- Load balancer types -- Comparison -- Choosing the right load balancer -- NAT -- NAT gateway -- Cloud NAT -- Hybrid connectivity -- VPN -- Interconnects -- Peering -- Choosing the right connectivity method -- DNS -- DNS resolution -- Cloud DNS -- DNSSEC -- Firewall rules -- Default rules -- Implied rules -- Always allowed traffic rules -- Always denied rules -- User-defined rules -- Firewall logging -- Private access -- Summary -- Further reading -- Chapter 9: Exploring Storage Options in GCP - Part 1 -- Code in Action -- Choosing the right storage option -- Data consistency -- Understanding Cloud Storage -- Storage classes -- Data consistency -- Cloud Storage FUSE -- Creating and using a bucket -- Versioning and lifecycle management -- Versioning -- Lifecycle management -- Transferring data -- Cloud Storage Transfer Service -- Google Transfer Appliance -- Understanding IAM -- Quotas and limits -- Pricing -- Understanding Cloud Datastore -- Data consistency -- Creating and using Cloud Datastore -- Datastore versus Firestore -- IAM -- Quotas and limits -- Pricing -- Understanding Cloud SQL -- Data consistency -- Creating and managing Cloud SQL -- Read Replicas -- Failover Replica -- Backup and recovery -- Migrating data -- Instance cloning -- IAM. Quotas and limits -- Pricing -- Summary -- Further reading -- Chapter 10: Exploring Storage Options in GCP - Part 2 -- Cloud Spanner -- Instances configuration -- Node count -- Replication -- TrueTime -- Data consistency -- Creating a Cloud Spanner instance -- IAM -- Quotas and limits -- Pricing -- Bigtable -- Bigtable configuration -- Instances -- Clusters -- Nodes -- Schema -- Replication -- Application profiles -- Data consistency -- Creating a Bigtable instance and table -- IAM -- Quotas and limits -- Pricing -- Summary -- Further reading -- Chapter 11: Analyzing Big Data Options -- End-to-end big data solution -- Cloud Pub/Sub -- Creating a topic and subscription -- IAM -- Quotas and limits -- Pricing -- Cloud Dataflow -- IAM -- Quotas and limits -- Pricing -- BigQuery -- BigQuery features -- Datasets -- Tables -- Using BigQuery -- Importing and exporting data -- Storage -- IAM -- Quotas and limits -- Pricing -- Dataproc -- Architecture -- IAM -- Quotas and limits -- Cloud IoT Core -- IAM -- Quotas and limits -- Pricing -- Additional considerations -- Summary -- Further reading -- Chapter 12: Putting Machine Learning to Work -- An introduction to AI and ML -- The seven steps of ML -- Gathering and preparing the data -- Choosing a model -- Training -- Evaluation -- Hyperparameter tuning -- Prediction -- Learning models -- GCP ML options -- TensorFlow -- Cloud ML Engine -- Using ML Engine -- Interacting with ML Engine -- ML Engine scale tiers -- Cloud Tensor Processing Units (TPUs) -- Submitting a training job -- Deploying the model -- Predictions -- Submitting predictions -- Pretrained ML models -- The Cloud Speech-to-Text API -- The Cloud Text-To-Speech API -- The Cloud Translation API -- The Cloud Natural Language API -- The Cloud Vision API -- The Google Cloud Video Intelligence API -- Dialogflow -- AutoML -- Summary -- Further reading. Section 3: Designing for Security and Compliance -- Chapter 13: Security and Compliance -- Code in Action -- Introduction to security -- Cloud Identity -- Resource Manager -- Identity and Access Management (IAM) -- Service accounts -- Cloud Storage access management -- Firewall rules and load balancers -- Cloud Security Scanner -- Monitoring and logging -- Encryption -- Data encryption keys versus key encryption keys -- CMEKs versus CSEKs -- Industry regulations -- PCI compliance -- Shared responsibility model -- Data Loss Prevention (DLP) -- Penetration testing in GCP -- Additional security services -- Cloud Identity-Aware Proxy (IAP) -- Security Command Center (SCC) -- Forseti -- Cloud Armor -- Summary -- Further reading -- Section 4: Managing Implementation -- Chapter 14: Google Cloud Management Options -- Code in Action -- Using APIs -- Google Cloud Shell -- The GCP SDK -- gcloud -- gsutil -- bq -- cbt -- Cloud Deployment Manager -- Pricing Calculator -- Additional things to consider -- Summary -- Further reading -- Section 5: Ensuring Solution and Operations Reliability -- Chapter 15: Monitoring Your Infrastructure -- Technical requirements -- Introduction to Stackdriver -- Cost -- Configuring Stackdriver -- Stackdriver Monitoring -- Groups -- Dashboards -- Alerting policies -- Uptime checks -- Monitoring agents -- Stackdriver Logging -- Logs Viewer -- Basic log filtering -- Advanced filtering -- Exporting logs -- Logging agent -- Log-based metrics -- Cloud audit logs -- ACTIVITY -- Retention -- APM -- Trace -- Debugger -- Profiler -- Error Reporting -- Summary -- Further reading -- Section 6: Exam Focus -- Chapter 16: Case Studies -- Understanding how to approach exam case studies -- What are they looking for in the case studies? -- Company overview -- Solution concept -- Business requirements -- Technical requirements -- Executive summary. Forming a solution. This book will help you prepare for Google's popular Professional Cloud Architect certification from the ground up. You will learn the necessary skills to design, develop, and manage enterprise-grade cloud solutions, and thereby achieve your organization's business objectives. SAF202009 EBLlink deleted Computing and Computers SzGeCERN BOOK Gerrard, Brian https://learning.oreilly.com/library/view/-/9781838555276/?ar ebook n 201951 201912 21 PUBLIC https://catalogue.library.cern/legacy/2705167 BOOK MIGRATED 2704964 SzGeCERN 20200503232048.0 9781482270792 electronic version electronic version 9780367397906 print version oai:cds.cern.ch:2704964 cerncds:BOOK EBL 5939024 eng TJ844 .T767 2018 621.2 Trostmann, Erik Tap water as a hydraulic pressure medium Milton CRC Press 2000 223 p Cover -- Half Title -- Title Page -- Copyright Page -- Foreword -- Preface -- Acknowledgement -- Table of Contents -- 1: Using water in hydraulic systems -- 1.1 Summary -- 1.2 Background/history -- 1.3 Water -- 1.4 Water versus oil and others -- 1.4.1 Water hydraulics vs. electrical drives -- 1.4.2 Water hydraulics vs. pneumatics -- 1.5 Water - the engineering challenges -- 1.6 Applications -- 1.7 Statements -- 1.7.1 Hydraulics oil - a large latent environmental problem -- 1.7.2 Handling hydraulics oil and water -- 1.7.3 Water hydraulics - costs and winners -- 1.7.4 Water hydraulics - something to think about! -- 1.8 Conclusion/future -- 2: Introduction to water -- 2.1 Fount and origin of life -- 2.2 An astronomical coincidence? -- 2.3 Is there enough? -- 2.4 Historical perspectives -- 2.5 The water cycle -- 2.6 What about water quality? -- 2.7 So, what is water? -- 2.8 Water is weird! -- 3: Physical properties of water -- 3.1 Water as a pressure medium -- 3.1.1 Molecular structure of liquid water -- 3.1.2 Bonds between water molecules -- 3.1.3 Science versus empiricism -- 3.2 Properties of liquid water -- 3.2.1 Thermodynamic properties -- a. Density -- b. Equation of state -- c. Definition of bulk moduli -- d. Effective bulk modulus -- e. Thermal properties -- f. Cavitation of aeration -- 3.2.2 Transport properties -- a. Viscosity -- b. Speed of sound -- 3.2.3 Electrical properties -- a. Dielectric constant -- b. Electrical conductance -- 3.2.4 Other properties -- a. Surface tension -- 3.3 Examples -- 3.4 Appendix to chapter 3 -- 4: Water chemistry -- 4.1 Introduction to basic chemical terms -- 4.1.1 Molecules and bonds -- 4.1.2 Concentration and activity -- 4.1.3 Reaction, equilibrium, and steady state -- 4.2 Chemistry of pure water -- 4.2.1 pH -- 4.3 Real waters -- 4.3.1 Ions and solubility -- 4.3.2 Ionic strength and activity coefficients. 4.3.3 Alkalinity and buffers -- 4.3.4 The carbonate system -- 4.3.5 Hardness -- 4.4 Water analysis -- 4.4.1 Bulk analysis -- 4.4.2 Inorganic compounds -- 4.4.3 Organic compounds -- 4.4.4 The pH electrode and other online sensors -- 5: Water microbiology -- 5.1 Introduction to microbiology -- 5.1.1 The cell -- 5.1.2 Taxonomy -- 5.2 Microbial growth -- 5.2.1 Closed systems -- 5.2.2 Open systems -- 5.3 Biofilm growth -- 5.3.1 What is a biofilm? -- 5.3.2 Formation of a biofilm -- 5.3.3 Why do bacteria grow in biofilms? -- 5.4 Biofouling problems -- 5.4.1 Microbiologically influenced corrosion -- 5.5 Microbial growth in tap water hydraulic systems -- 5.6 Controlling microbial growth -- 5.6.1 Preventive actions -- 5.6.2 Mitigating microbial growth -- 5.7 Analytical methods in microbiology -- 5.7.1 Handling samples for microbial analysis -- 5.7.2 Total bacterial count -- 5.7.3 Germination index (bacterial count) -- 5.7.4 Specific bacterial strains -- 5.7.5 Pathogenic microorganisms -- 5.7.6 Indicator parameters -- 6: Water treatment -- 6.1 Preface -- 6.2 Good rules -- 6.3 Water treatment owing to water's chemical properties -- 6.3.1 Softening -- 6.3.2 Desalination -- 6.4 Water treatment owing to water's microbiological properties -- 6.4.1 Other methods of treating microbiological water quality -- 6.5 Water treatment owing to water's physical properties -- 6.6 Water treatment methods within different applications -- 6.6.1 Using tap water without any treatment -- 6.6.2 Using tap water with preservative -- 6.6.3 Using desalinated water + UV water treatment -- 6.6.4 Using desalinated water -- 6.6.5 Using desalinated water + monopropylene glycol -- 6.6.6 Using desalinated water + borid acid + lithium hydroxide -- 6.7 Simple rules for water hydraulics -- Index. https://cds.cern.ch/auth.py?r=EBLIB_P_5939024 ebook ebook EBL201912 Engineering SzGeCERN BOOK n 201951 21 PUBLIC BOOK DELETED 2704953 SzGeCERN 20200501234725.0 9781910227213 electronic version electronic version 9781909368118 print version oai:cds.cern.ch:2704953 cerncds:BOOK EBL 5938959 eng HA29 .H535 2017 519.5 Hick, Julian RCGP AKT research, epidemiology and statistics Boca Raton, FL CRC Press 2014 187 p Cover -- Title Page -- Copyright Page -- Table of Contents -- Foreword -- About the authors -- Acknowledgements -- List of abbreviations -- Introduction -- Evidence-based medicine and evidence-based practice -- About this book -- Passing the Applied Knowledge Test -- Chapter 1: The Applied Knowledge Test -- Applied Knowledge Test question formats -- The importance of statistics! -- Applied Knowledge Test pass rates -- Revising for the Applied Knowledge Test -- Preparation for the Applied Knowledge Test -- Chapter 2: Basic statistics -- Introduction to statistics -- Why understanding statistics is important -- What are statistics? -- Descriptive statistics -- Inferential statistics -- Statistical signifi cance -- The null hypothesis and p- values -- How to evaluate statistics -- Conclusion -- Limitations of statistics -- Chapter 3: Introduction to statistical methods -- Introduction -- Levels of measurement -- Descriptive statistics -- The normal distribution -- Graphical representation of data -- Correlation -- Confidence intervals -- Parametric and non- parametric tests -- Choosing a test -- Bias -- Chapter 4: Qualitative methods -- Introduction -- Pilot studies -- Triangulation -- Sampling methods and saturation -- Qualitative research methodology -- Qualitative research methods -- Qualitative data analysis -- Chapter 5: Quantitative methods -- Introduction -- The hierarchy of evidence -- Systematic reviews and meta- analysis -- Randomised controlled trials -- Cohort studies -- Case-control studies -- Case series and case reports -- Expert opinion and editorials -- Conclusion -- Chapter 6: Epidemiology -- Introduction -- Environmental determinants of health -- Incidence -- Prevalence -- Screening programmes -- Sensitivity and specifi city -- Positive and negative predictive values -- Likelihood ratios -- Pre- and post-test probability. Measures of mortality -- Economic and quality of life analysis -- Chapter 7: Research in general practice -- Introduction -- Audit -- How to answer questions relevant to primary care -- Evidence-based resources -- Research databases and networks -- Research in general practice -- Social networking -- Research ethics -- Discussing treatments with patients -- Applying statistics to individuals -- Chapter 8: Conclusions -- Introduction -- How to succeed in the Applied Knowledge Test -- What next? How is evidence-based medicine developing? -- Chapter 9: Practice questions -- Answers to questions in Chapter 9 -- Glossary -- Index. Emmerson, Ralph https://cds.cern.ch/auth.py?r=EBLIB_P_5938959 ebook ebook EBL201912 Mathematical Physics and Mathematics SzGeCERN BOOK n 201951 201912 21 PUBLIC BOOK DELETED 2704934 SzGeCERN 20200503232047.0 9789814303385 electronic version electronic version 9789814303378 print version oai:cds.cern.ch:2704934 cerncds:BOOK EBL 5938776 eng TK1087 .P359 2019 621.31244 Palz, Wolfgang Power for the world the emergence of electricity from the sun Milton Pan Stanford Publishing 2010 606 p Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- About the Author -- List of Contributors -- Hymn to the Sun -- Foreword -- Introduction -- Chapter 1 -- Part I: The Rising Sun in a Developing World -- 1. Electric Power, A Pillar of Modern Society -- 1.1 Electricity in Today's Life -- 1.2 The Conventional World of Electricity -- 1.3 Solar PV: A Part of the New Semiconductor World -- 2. Looking Back to Light the Future -- 2.1 The Emergence of Electricity -- 2.2 From the " Voltaic Pile" to the Photovoltaic Cell -- 2.3 Photovoltaic Power: The First steps -- 3. Solar Power for Space Satellites -- 4. First Ideas about Lighting us with Solar Power -- 4.1 Mutations of the Societies in the US and Europe -- 4.2 A New Awareness for Solar Power -- 4.3 The Oil- Price Shocks, The Nuclear Disaster 1986 -- 5. After the Vision: A Mountain of Challenges -- 5.1 PV in the Starting Blocks in 1973 -- 5.2 The Cost Problem: Technological Challenges -- 5.3 The Chicken and Egg Problem: Mass Production -- 5.4 Entrenched Energy Strategies and Politics -- 5.5 Against Dominant Allocations of State Budgets -- 5.6 Administrations -- 5.7 The Energy Buy- Back Time, The Module Lifetime -- 5.8 Intermittency of Supply -- 5.9 Environmental Challenges -- 6. Leadership of Action -- 6.1 The Pioneering Role of the United States -- 6.2 France: A European Solar Pioneer -- 6.3 PV Start up in Germany -- 6.4 PV Ups and Downs in Japan -- 6.5 UNESCO -- 6.6 The European Union -- 6.7 The G8 -- 6.8 The Energy Empire Fights Back -- Part II: Solar Power for the World -- 1. Basics for a new Solar Age -- 1.1 The Ethical Imperative of Photovoltaics -- 1.2 Cost and Social Acceptance: Ingredients for a Viable Energy Strategy -- 1.3 PV as Part of a Holistic Approach towards Renewable Energy Implementation and Energy Conservation -- 1.4 And what about the Power Plants on the Road?. 1.4.1 Car drivers and their power plants -- 1.4.2 Mobilising PV for transport -- 2. Driving Forces -- 2.1 Aspiration of the People -- 2.2 Preserving Nature and Alleviating Climate Change -- 2.3 Peak Oil -- 2.4 Energy Security of Supply -- 3. The Role of Stake Holders in Society -- 3.1 Governments and Administrations -- 3.2 Industry and Finance -- 3.3 PV Costs and Benefits for Society -- a Special Role for the Grid Operators -- 4. New Energy Paradigm -- 4.1 Centralised or Decentralised PV -- 4.2 What Role for the Conventional Power Utilities? -- 4.3 Communities and Regions Mastering their own Energy Supply -- 4.4 The Autonomous Energy House: Solar Architecture and the Building Industry -- 5. Power for the People -- 5.1 Starting a Global Strategy: 10 Watts per Head -- 5.2 PV for the People in the Industrialised World -- 5.3 PV for the People in the Solar Belt -- 6. Power for the Poor -- 6.1 Getting Involved -- 6.2 PV Power for the Poor in the Developing Countries -- 6.3 Power for the Poor in the Industrialised Countries -- 7. Power for Peace -- Part III: PV Today and Forever -- 1. Solar Power 2009/10: A Wealth of Achievements -- 1.1 The Global PV Markets 2009/10 -- 1.2 Political, Financial, and Industrial Environment -- 1.3 The Technology Boom goes on -- 2. Outlook -- 2.1 On the Threshold of Commercial Viability -- 2.2 Outlook Towards 2020 -- 2.3 PV as Part of a 100% RE World -- 3. Conclusions -- Appendix -- Cartoon -- Chapter 2 My Solar Age Started with Tchernobyl -- Chapter 3 More Electricity for Less Co[sub(2)] -- Chapter 4 Solar Power in Practice -- Chapter 5 The Story of Developing Solar Glass Facades -- Chapter 6 Bringing the Oil Industry into the Picture -- Chapter 7 Factory for Sale - or the Long and Stony Way to Cheap Solar Energy: The Story of the Thin-Film CdTe Solar Cells -- First Solar and Others - A Semi-Autobiography. Chapter 8 Photovoltaics in the World Bank Group Portfolio -- Chapter 9 Solar Bicycles, Mercedes, Handcuffs - PlusEnergy Buildings -- Chapter 10 Photovoltaic Power Systems for Lifting Women Out of Poverty in Sub-Saharan Africa -- Chapter 11 Solar Cell Development Work at COMSAT Laboratories (1967-1975) -- Chapter 12 SolarBank -- Chapter 13 Will This Work? Is It Realistic? Thoughts and Acts of a Political Practitioner with a Solar Vision -- Chapter 14 The IEEE Photovoltaic Specialists Conference -- Chapter 15 Review of China's Solar PV Industry in 2009 -- Chapter 16 Lighting the World: Yesterday, Today and Tomorrow -- Chapter 17 The Role of Research Institutes for the Promotion of PV: The Case of Fraunhofer ISE (Institute of Solar Energy Systems) -- Chapter 18 Abandoning Nuclear in Favor of Renewable Energies -- Chapter 19 Nonconventional Sensitized Mesoscopic (Grätzel) Solar Cells -- Chapter 20 The PV World Conference in Vienna -- Chapter 21 PV in Japan - Yesterday, Today and Tomorrow -- Chapter 22 PV in Europe, from 1974 to 2009: A Personal Experience -- Chapter 23 PV in Berlin - How It All Began: The Story of Solon, Q-Cells, PV in Brazil -- Chapter 24 Three Steps to a Solar System - 1-40% and 100% -- Chapter 25 France Did Not Want to Look for the Sun... -- Chapter 26 On the International Call for Photovoltaics of 2008 -- Chapter 27 High Efficiency Photovoltaics for a Sustainable World -- Chapter 28 Promoting PV in Developing Countries -- Chapter 29 A World In Blue -- Chapter 30 The History of Renewable Energies in the Canary Islands, Especially in Tenerife -- Chapter 31 Why was Switzerland Front-Runner for PV in the 90s but Lost the Leadership After 2000? -- Chapter 32 A World Network for Solar R&amp -- D: ISES -- Chapter 33 Early Work on Photovoltaic Devices at the Bell Telephone Laboratories. Chapter 34 Leaders of the Early Days of the Chinese Solar Industry -- Chapter 35 Illiterate Rural Grandmothers Solar-Electrifying Their Own Villages -- Chapter 36 The Kick-off PV Programme in Germany: The One Thousand PV Roofs Programme -- Chapter 37 History of Technologies, Development for Solar Silicon Cost Reduction -- Chapter 38 The Story of Sunpower -- Chapter 39 Terrestrial Photovoltaic Industry - The Beginning -- Chapter 40 Solar Power in Geneva, Switzerland -- Chapter 41 Early PV Markets and Solar Solutions in South Asia. https://cds.cern.ch/auth.py?r=EBLIB_P_5938776 ebook ebook EBL201912 Engineering SzGeCERN BOOK n 201951 21 PUBLIC BOOK DELETED 2704910 SzGeCERN 20210421201325.0 9781912300228 electronic version electronic version 9781912300211 print version oai:cds.cern.ch:2704910 cerncds:BOOK EBL 5917626 eng HD60 .H374 2019 658.408 Hargreaves, Paul Forces for good creating a better world through purpose-driven businesses Bristol SRA Books 2019 172 p ebook Intro -- What people are saying... -- Contents -- Foreword -- Introduction -- Section 1 Changing the World -- The Nature of Work -- Understanding Ourselves -- Preparing to Change the World -- Starting to Change the World -- Business Can Change the World -- Section 2 Learning to Run a Business -- Being a Good Employer -- The Right People -- Hanging on by Fingertips -- Go with Your Gut -- Section 3 Better for People -- Work-Life Balance -- Relationships and Family -- Better Management -- Gender Balance in Leadership -- Collaborative Supplier Relationships -- Collaborative Customer Relationships -- Collaborative Competitor Relationships? -- Mentoring and Being Mentored -- Section 4 Better for the Planet -- A World Perspective -- Into Africa -- Feeling the Pain of the Planet -- Being Community-Orientated -- Politics and Business -- Section 5 Better for Profit -- Capitalism - Good or Bad? -- Telling and Embedding Your Story -- Building Multi-generational Teams -- Inward Investment -- Section 6 Better for You -- Personal Change -- Emotions within Business -- Finding Ikigai -- Ikigai Blockers -- A Sense of Achievement -- Being People Who Push On -- What Goes Around Comes Around -- And Finally…Dreaming Dreams -- The B Corporation Movement -- Bibliography -- World-changing Companies and Organisations -- Acknowledgments -- About the author. There's a new generation of businesses emerging. They're working together to make a positive impact on the world by redefining what it means to be successful. By changing the way you work and considering the impact of the decisions you make, you can join them in reducing poverty, injustice and environmental damage by balancing purpose with profit. EBL201912 Commerce, Economics, Social Science SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5917626 ebook n 201951 201912 21 PUBLIC https://catalogue.library.cern/legacy/2704910 BOOK MIGRATED 2704885 SzGeCERN 20210421201330.0 9781119555681 electronic version electronic version 9781119555605 print version oai:cds.cern.ch:2704885 cerncds:BOOK EBL 5915543 eng TJ810 .P764 2019 621.47 Sahoo, Umakanta Progress in solar energy technologies and applications Newark, NJ John Wiley & Sons 2019 378 p ebook Intro -- Title Page -- Copyright -- About the Editor -- Contributors -- Chapter 1: Reliability Testing of PV Module in the Outdoor Condition -- 1.1 Introduction -- 1.2 Indoor Testing of Reliability of PV Module -- 1.3 Basics of Measurement Methods used to Identify Failures in the PV Module in the Field after Installation -- 1.4 Quantification of Reliability -- 1.5 Procedure for Performance and Reliability Testing of PV Module in Outdoor Conditions -- 1.6 Conclusion -- Abbreviation -- References -- Chapter 2: Solar Energy Technologies and Water Potential for Distillation: A Pre-Feasibility Investigation for Rajasthan, India -- 2.1 Introduction -- 2.2 Solar Assisted Technologies for Water Purification -- 2.3 Resource Availability in Rajasthan, India, for Solar Distillation -- 2.4 Estimation of Solar Potential and Water Availability -- 2.5 Choice of Distillation Technology -- 2.6 Conclusion -- Nomenclature -- References -- Chapter 3: Design Analysis of Solar Photovoltaic Power Plants for Northern and Southern Regions of India -- 3.1 Introduction -- 3.2 Site Selection -- 3.3 Technology -- 3.4 BOM for 3MW Power Plant -- 3.5 Design and Quality Standards -- 3.6 Simulation Results -- 3.8 Plant Layout with Electrical and Civil Engineering Aspects -- 3.9 Monitoring System -- 3.10 Environmental Aspects -- 3.11 Project Management -- 3.12 Solar Business Models for Megawatt-Scale Projects in India -- 3.13 Concepts toward Net Zero Energy Solar Building -- 3.14 Strategy Implementation -- 3.15 Conclusion -- Abbreviations -- References -- Chapter 4: Cold Storage with Backup Thermal Energy Storage System -- 4.1 Introduction -- 4.2 Solar Energy Scenario -- 4.3 Refrigeration Technology Overview -- 4.4 Literature Review -- 4.5 Designing of Solar PV Cold Storage -- 4.6 Design of Cold Room Mechanical System -- 4.7 Designing of Thermal Energy Storage System (TES). 4.8 Battery Storage -- 4.9 Refrigerant -- 4.10 Specification of Cold Storage and Thermal Energy Storage System -- 4.11 Design of Solar Thermal Based Cold Storage -- 4.12 Economic Analysis -- 4.13 Economic Analysis of Solar PV Cold Storage -- 4.14 Economic Analysis of Solar Thermal System Based Cold Storage -- 4.15 Conclusion -- References -- Chapter 5: Development of Parabolic Trough Collector Based Power and Ejector Refrigeration System Using Eco-Friendly Refrigerants -- 5.1 Introduction -- 5.2 Literature Review -- 5.3 Solar Operated Ejector Cooling and Power Cycle -- 5.4 Ejector Cooling and Power Cycle with Various Ecofriendly Refrigerants -- 5.5 Ejector Organic Rankine Cycle Integrated with a Triple Pressure Level Vapour Absorption System -- 5.6 Combined Organic Rankine Cycle with Double Ejector -- 5.7 Result and Discussions -- 5.8 Conclusion -- Nomenclature -- Greek symbols -- Subscript -- References -- Chapter 6: Unlocking the Design of Stand-Alone and Grid-Connected Rooftop Solar PV Systems -- 6.1 Introduction -- 6.2 Stand-Alone Solar PV System -- 6.3 Grid-Connected Solar PV System -- 6.4 Costing Analysis for a Solar PV System -- 6.5 Conclusion -- Bibliography -- Index -- End User License Agreement. EBL201912 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5915543 ebook n 201951 201912 21 PUBLIC https://catalogue.library.cern/legacy/2704885 BOOK MIGRATED 2704863 SzGeCERN 20201117212510.0 9781788018968 electronic version electronic version 9781788014342 print version oai:cds.cern.ch:2704863 cerncds:BOOK EBL 5906893 eng TK2901 .M346 2020 621.312420284 Fichtner, Maximilian Magnesium batteries research and applications Cambridge Royal Society of Chemistry 2019 352 p ISSN Cover -- Magnesium Batteries: Research and Applications -- Preface -- Contents -- Chapter 1 - Motivation for a Magnesium Battery -- 1.1 Introduction -- 1.2 Overview on Research Topics -- 1.2.1 Electrolytes -- 1.2.2 Cathodes -- 1.2.3 Anodes -- 1.2.4 Mg Deposition and the Lack of Dendrite Formation -- 1.3 Need for Better Batteries -- 1.4 Need for Sustainable Solutions -- 1.4.1 Cathode -- 1.4.2 Anode -- 1.4.3 Electrolyte -- 1.5 Magnesium as a Resource -- 1.6 Conclusion -- Acknowledgement -- References -- Chapter 2 - Non-aqueous Electrolytes for Mg Batteries -- 2.1 Introduction -- 2.2 Halide-ion Containing Electrolytes -- 2.2.1 Carbon-based Anions -- 2.2.2 Nitrogen-based Anions -- 2.2.3 Oxygen-based Anions -- 2.2.4 Halides as Anions -- 2.2.5 Weakly Coordinating Anions -- 2.3 Chloride-free Magnesium Electrolytes -- 2.3.1 Halogen-free Simple Salts -- 2.3.2 Halogen-based Simple Salts -- 2.3.3 Halogen-based Reagents -- 2.3.4 Electrolytes Based on Non-ethereal Solvents -- 2.3.5 Solid State Electrolytes -- Acknowledgement -- References -- Chapter 3 - Solid-state Magnesium-ion Conductors -- 3.1 Introduction -- 3.2 Phosphate-based Solid-state Magnesium-ion Conductors -- 3.2.1 Cation and Anion Substitution in MZP -- 3.2.2 Other Oxygen Containing Solid-state Magnesium-ion Conductors -- 3.3 Chalcogenide-based Solid-state Magnesium-ion Conductors -- 3.4 Solid-state Magnesium-ion Conductors Based on Complex Metal Hydrides -- 3.5 Solid-state Magnesium-ion Conductors Based on Metal-Organic Frameworks -- 3.6 Conclusion -- References -- Chapter 4 - Theoretical Modelling of Multivalent Ions in Inorganic Hosts -- 4.1 Introduction -- 4.1.1 Thermodynamics of Multivalent Electrodes -- 4.1.1.1 Ground State Hull, Metastability and Average Voltages -- 4.1.1.2 Capturing Entropy Contributions and the Method of Cluster Expansion -- 4.1.1.3 Conversion vs. Intercalation. 4.1.1.4 Solvent Co-intercalation -- 4.1.1.5 Stability Windows -- 4.1.2 Kinetics of Ionic Diffusion in Materials -- 4.1.2.1 Fick's First Law and the Green-Kubo Model for Diffusion -- 4.1.2.2 Diffusion Coefficients and Activation Barriers -- 4.1.2.3 Estimating Migration Barriers -- 4.1.2.4 Percolation Theory -- 4.1.3 Density Functional Theory as a Tool to Assess Thermodynamic and Kinetic Properties -- 4.1.3.1 GGA+U and Hybrid Functionals -- 4.1.4 Application of First-principles Methods to Multivalent Ion Intercalation Hosts -- 4.1.4.1 High-throughput Screening to Identify a Promising Intercalation Motif -- 4.1.4.2 Voltage Curves as a Function of Temperature, the Case of TiS2, CrO2 and V2O5 -- 4.1.4.3 Conversion vs. Intercalation During Mg Reduction -- 4.1.4.4 Co-intercalation in Xerogel-V2O5 -- 4.1.4.5 Electrochemical Stability Windows of Coating Materials -- 4.1.4.6 Assessing Mg Migration in a Spinel Structure -- 4.1.4.7 Probing Long-range Mg Transport with Percolation Theory -- 4.2 Conclusions -- Acknowledgement -- References -- Chapter 5 - Anode Materials for Rechargeable Mg Batteries -- 5.1 Introduction -- 5.2 Insertion-type Anodes -- 5.2.1 Graphite -- 5.2.2 Phospherenes -- 5.2.3 Borophenes -- 5.2.4 Transition Metal Carbides -- 5.2.5 Li4Ti5O12 -- 5.2.6 Na2Ti3O7 -- 5.2.7 Li3VO4 -- 5.2.8 FeVO4 -- 5.3 Alloying-type Negative Electrode Materials -- 5.3.1 Electrochemical Behavior of Single Metal Alloy Electrodes -- 5.3.2 Electrochemical Behavior of Bimetallic Alloy Electrodes -- 5.3.3 Interest in the Direct Use of MgxM Alloys -- 5.4 Conclusions and Perspective -- References -- Chapter 6 - Mg Stripping and Plating at Magnesium Metal and Intermetallic Anodes -- 6.1 Introduction -- 6.2 Overview of the Electrolyte Solutions -- 6.3 Deposition Mechanism -- 6.4 Surface Morphologies of Electrodeposited Magnesium Metal. 6.5 Passivation Layer and Possible SEI Layer -- 6.6 Intermetallic Anodes -- 6.7 Summary -- References -- Chapter 7 - Insertion Electrodes for Magnesium Batteries: Intercalation and Conversion -- 7.1 Introduction -- 7.2 Materials for Intercalation -- 7.2.1 Layered Sulfides and Selenides -- 7.2.2 Layered Oxides -- 7.2.2.1 Vanadium Oxide (V2O5) -- 7.2.2.2 Molybdenum Oxide (MoO3) -- 7.2.3 Graphite -- 7.2.4 VOPO4 -- 7.2.5 VS4 -- 7.2.6 Prussian Blue Analogues -- 7.3 Materials Based on Conversion and Displacement Reactions -- 7.3.1 Advantages of Conversion/Displacement Reactions for Mg2+ Storage -- 7.3.2 Copper Chalcogenides -- 7.4 Conclusion -- Acknowledgement -- References -- Chapter 8 - High Energy Density Insertion Cathode Materials -- 8.1 Introduction -- 8.2 Techno-economic Modelling -- 8.2.1 Adapting Li-ion Models -- 8.2.2 Establish the Materials Requirements for Transformative Batteries -- 8.2.3 Predicting and Comparing Technology Performances -- 8.3 High Energy Density Materials for Magnesium Insertion Cathodes -- 8.3.1 Oxo-Spinel Structures -- 8.4 Conclusion -- Acknowledgement -- References -- Chapter 9 - Organic Compounds as Electrodes for Rechargeable Mg Batteries -- 9.1 Introduction -- References -- Chapter 10 - Magnesium-Sulfur Batteries -- 10.1 Introduction -- 10.2 Features of a Mg-S Battery -- 10.3 Electrolytes for Mg-S Batteries -- 10.3.1 Complex Electrolytes -- 10.3.1.1 HMDS-based Electrolytes -- 10.3.1.2 MgCl2 Combination-based Electrolytes -- 10.3.1.3 Borate Derivative-based Electrolytes -- 10.3.2 Mg-ion Conductive Salt-based Electrolytes -- 10.4 Sulfur Cathodes and Cell Configuration -- 10.5 Summary and Outlook -- Acknowledgements -- References -- Chapter 11 - Mg-Li Dual-cation Batteries -- 11.1 Introduction -- 11.2 Mg-Li Dual-ion Batteries: Daniell-type -- 11.2.1 Battery Reactions -- 11.2.2 Example of a Practical System. 11.2.3 Toward High Energy Density Dual-ion Batteries -- 11.3 Mg-Li Dual-ion Batteries: Rocking-chair Type -- 11.3.1 Ideal Charge and Discharge Processes -- 11.3.2 Prototype Battery System -- 11.3.3 Anode Properties of a Mg-Li Alloy -- 11.3.3.1 Thermodynamic Analysis for the Alloy Anode -- 11.3.3.2 Cyclic Voltammetry Experiments in Three-electrode Beaker Cells -- 11.3.3.3 Co-electrodeposition Morphology -- 11.3.4 Cathode Properties -- 11.3.4.1 Cyclic Voltammetry Experiments in Different Types of Electrolytes -- 11.3.4.2 Concomitant Intercalation of Mg-Li Dual Ions -- 11.3.5 Charge Tests Using Coin Cells -- 11.4 Facilitating Mechanism of Mg Diffusion -- 11.4.1 Structure and Diffusion Path in the Mo6S8 Host -- 11.4.2 Single Ion Migration in a Dilute Mo6S8 Host -- 11.4.3 Mg Migration in Mg-Li Dual-ion Systems -- 11.4.4 Concerted Motion in Single-ion Systems -- 11.4.5 Facilitating Intercalation in Mg-Li Dual-ion Systems -- 11.4.6 Versatility of the Facilitating Mechanism -- 11.4.6.1 Concomitant Intercalation in Oxide Hosts -- 11.4.6.2 Facilitating Diffusion in Spinel Oxide at Room Temperature -- 11.5 Conclusions and Remarks -- Acknowledgements -- References -- Chapter 12 - Aqueous Mg Batteries -- 12.1 Introduction -- 12.2 Types of Aqueous Mg Batteries -- 12.2.1 Mg-MnO2 Dry Cell -- 12.2.2 Mg-Seawater Battery -- 12.2.3 Mg-H2O2 Semi-fuel Cell -- 12.2.4 Mg-Air Battery (Aqueous Type) -- 12.2.5 Other Types -- 12.3 Current Issues of Aqueous Mg Batteries -- 12.4 Performance Improvement of Aqueous Mg Batteries -- 12.4.1 Development of Mg Anodes -- 12.4.1.1 Improvement of Pure Magnesium -- 12.4.1.2 Addition of Alloying Elements -- 12.4.1.3 Microstructure Tuning -- 12.4.2 Electrolyte Modification -- 12.5 Outlook -- Acknowledgement -- References -- Chapter 13 - Life Cycle Analysis of a Magnesium-Sulfur Battery -- 13.1 Introduction -- 13.1.1 Status of the MRB. 13.2 LCA Method -- 13.2.1 Goal and Scope -- 13.2.2 System and System Boundaries -- 13.2.3 Data Sources and Assumptions -- 13.2.4 Battery Cell Layout -- 13.2.4.1 Prototype Pouch Cell -- 13.2.5 Data for Mg-S Battery Production and Assembly -- 13.2.5.1 Life Cycle Inventory -- 13.2.6 Results of the Environmental Impacts Associated with a Mg-S Battery -- 13.2.6.1 Abiotic Depletion Potential -- 13.2.6.2 Global Warming Potential -- 13.2.6.3 Acidification Potential -- 13.2.6.4 Eutrophication Potential -- 13.2.6.5 Eco Toxicity Potentials -- 13.2.6.6 Human Toxicity Potential -- 13.2.6.7 Stratospheric Ozone Depletion Potential -- 13.2.6.8 Photochemical Ozone Creation Potential -- 13.2.7 Sensitivity Analysis -- 13.2.7.1 Influence of the Mg-S Battery Energy Density -- 13.2.7.2 Influence of the Electricity Mix Considered for Mg-S Cell and Battery Manufacture -- 13.2.7.3 Influence of the Packaging Material of the Pouch Cell -- 13.2.7.4 Comparison with LIBs -- 13.3 Conclusions -- References -- Subject Index. The book covers scientific and technical challenges in magnesium battery research, bringing together contributions in the field of anodes, cathodes, electrolytes and systems such as the Mg-S cell. Ingram, Brian J Sheridan, Edel Mohtadi, Rana Battaglia, Corsin Zhao-Karger, Zhirong Canepa, Pieremanuele Dominko, Robert Hoeche, Daniel Weil, Marcel https://cds.cern.ch/auth.py?r=EBLIB_P_5906893 ebook ebook EBL201912 Engineering SzGeCERN BOOK n 201951 201912 21 PUBLIC BOOK DELETED 2704846 SzGeCERN 20210421201338.0 9781000701838 electronic version electronic version 9780367359751 print version oai:cds.cern.ch:2704846 cerncds:BOOK EBL 5897406 eng TK452 .L567 2020 621.319/24 Linsley, Trevor Advanced electrical installation work city and guilds edition 9th ed. Milton Routledge 2019 435 p ebook Cover -- Half Title -- Dedication -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgements -- Chapter 1: C&amp -- G unit 201/501: Health and safety in building services engineering -- Chapter 2: C&amp -- G unit 301: Understand the fundamental principles and requirements of environmental technology systems -- Chapter 3: C&amp -- G unit 302: Principles of electrical science -- Chapter 4: C&amp -- G unit 303: Electrical installations: Fault diagnosis and rectification -- Chapter 5: C&amp -- G unit 304: Electrical installations: Inspection, testing and commissioning -- Chapter 6: C&amp -- G unit 305: Electrical systems design -- Answers to check your understanding questions -- Preparing for assessment -- Appendix A: Environmental organizations -- Appendix B: Health and Safety Executive (HSE) publications and information -- Glossary of terms -- Index. EBL201912 Engineering SzGeCERN EBL Electric apparatus and appliances-Installation-Standards BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5897406 ebook n 201951 201912 21 PUBLIC https://catalogue.library.cern/legacy/2704846 BOOK MIGRATED 2704811 SzGeCERN 20210421201347.0 9781119515647 electronic version electronic version 9781119515623 print version oai:cds.cern.ch:2704811 cerncds:BOOK EBL 5806448 eng TK7881.15 .P69 2019 621.317 Bose, Bimal K Power electronics in renewable energy systems and smart grid Newark, NJ John Wiley & Sons 2019 744 p ebook IEEE Press series on power engineering Intro -- TITLE PAGE -- COPYRIGHT PAGE -- CONTENTS -- PREFACE -- ABOUT THE EDITOR -- ABOUT THE CONTRIBUTORS -- LIST OF ABBREVIATIONS -- CHAPTER 1 ENERGY, ENVIRONMENT, POWER ELECTRONICS, RENEWABLE ENERGY SYSTEMS, AND SMART GRID -- 1.1 INTRODUCTION -- 1.2 ENERGY -- 1.3 ENVIRONMENT -- 1.3.1 Environmental Pollution by Fossil Fuels -- 1.3.2 Climate Change or Global Warming Problems -- 1.3.3 Several Beneficial Effects of Climate Change -- 1.3.4 The Kyoto Protocol and Carbon Emission Control -- 1.3.5 How Can We Solve or Mitigate Climate Change Problems? -- 1.4 POWER ELECTRONICS -- 1.4.1 The Role of Power Electronics in Renewable Energy Systems and Grids -- 1.4.2 Fundamentals of Power Electronics -- 1.4.3 Power Electronics Applications -- 1.5 RENEWABLE ENERGY SYSTEMS -- 1.5.1 Wind Energy Systems -- 1.5.2 PV Systems -- 1.5.3 Grid Energy Storage -- 1.6 SMART GRID -- 1.6.1 FACTS Technologies -- 1.6.2 HVDC Technologies -- 1.6.3 DC Grid and Supergrid -- 1.6.4 Power Electronics for Distribution Grids -- 1.7 SUMMARY AND FUTURE TRENDS -- ACKNOWLEDGMENTS -- REFERENCES -- CHAPTER 2 POWER SEMICONDUCTOR DEVICES FOR SMART GRID AND RENEWABLE ENERGY SYSTEMS -- 2.1 INTRODUCTION -- 2.2 POWER SEMICONDUCTOR DEVICE OPERATION IN POWER CONVERTERS -- 2.2.1 Commercially Available Power Semiconductor Devices -- 2.2.2 Modern Power Semiconductor Device Characteristics -- 2.3 STATE-OF-THE-ART POWER SEMICONDUCTORS: A COMPARISON -- 2.3.1 Voltage Rating -- 2.3.2 Current Rating -- 2.3.3 Switching Frequency -- 2.3.4 Maximum Junction Temperature -- 2.4 RECENT INNOVATIONS IN SI POWER DEVICES -- 2.4.1 Silicon Superjunction (SJ) MOSFET -- 2.4.2 Thin Wafer Field Stop IGBT (FS-IGBT) -- 2.4.3 Reverse Conducting IGBT (RC-IGBT) -- 2.4.4 Reverse Blocking IGBT -- 2.4.5 Integrated-Gate-Commutated Thyristor (IGCT) -- 2.5 RECENT INNOVATIONS IN WBG POWER DEVICES -- 2.5.1 SiC and GaN Diodes. 2.5.2 SiC MOSFET -- 2.5.3 Ultra High-Voltage SiC Power Devices -- 2.5.4 GaN Heterojunction Field Effect Transistor -- 2.6 SMART GRID AND RENEWABLE ENERGY SYSTEM APPLICATIONS -- 2.7 CONCLUSIONS -- REFERENCES -- CHAPTER 3 MULTILEVEL CONVERTERS - CONFIGURATION OF CIRCUITS AND SYSTEMS -- 3.1 INTRODUCTION -- 3.1.1 Historical Review of Multilevel Converters -- 3.1.2 Overview of Chapter 3 -- 3.2 MULTILEVEL NPC and NPP INVERTERS -- 3.2.1 Circuits of Three-Level NPC and NPP Inverters -- 3.2.2 Principles of the Three-Level NPC and NPP Inverters -- 3.2.3 Comparisons Between the Three-Level NPC and NPP Inverters -- 3.2.4 Five-Level NPC Inverters -- 3.3 MULTILEVEL FLC INVERTERS AND HYBRID FLC INVERTERS -- 3.3.1 Circuits of the Three-Level and Four-Level FLC Inverters -- 3.3.2 Principles of the Three-Level FLC Inverter -- 3.3.3 Hybrid Four-Level and Five-Level FLC Inverters -- 3.4 MODULAR MULTILEVEL CASCADE CONVERTERS -- 3.4.1 Terminological Issue and Solution -- 3.4.2 Circuits and Individualities of Six Family Members -- 3.4.3 Topological Discussion on the DSBC and DSCC Converters -- 3.4.4 Comparisons among the Six MMCC Family Members -- 3.4.5 Circulating Current -- 3.5 PRACTICAL APPLICATIONS OF SSBC INVERTERS TO MEDIUM-VOLTAGE MOTOR DRIVES -- 3.6 HIERARCHICAL CONTROL OF AN SSBC‐BASED STATCOM -- 3.6.1 Background and Motivation -- 3.6.2 Hierarchical Control -- 3.7 A DOWNSCALED SSBC-BASED STATCOM WITH PHASE-SHIFTED-CARRIER PWM -- 3.7.1 System Configuration -- 3.7.2 Control Technique -- 3.7.3 Experimental Waveforms -- 3.8 CIRCULATING CURRENTS IN DSCC CONVERTERS -- 3.8.1 Circulating Current in a Cycloconverter -- 3.8.2 Circulating Current in a Single‐Leg DSCC Inverter -- 3.8.3 Similarity and Difference in Circulating Current -- 3.9 A DOWNSCALED DSCC-BASED BTB SYSTEM -- 3.9.1 Circuit Configuration -- 3.9.2 Operating Performance under Transient States. 3.10 PRACTICAL APPLICATIONS OF DSCC CONVERTERS TO GRID CONNECTIONS -- 3.11 APPLICATIONS OF DSCC AND TSBC CONVERTERS TO MOTOR DRIVES -- 3.11.1 DSCC-based Motor Drive Systems -- 3.11.2 Experimental Motor Drives Using a DSCC Inverter and a TSBC Converter -- 3.11.3 Comparisons in Start-up Performance when the 50 Hz Induction Motor was Driven -- 3.11.4 Operation of the DSCC-Driven 50 Hz Motor and the TSBC-Driven 38 Hz Motor at the Rated Frequency and Torque -- 3.11.5 Four-Quadrant Operation of the TSBC-driven 38 Hz Motor at No Load Torque -- 3.11.6 Discussion of the Two Motor Drives -- 3.12 DISTRIBUTED DYNAMIC BRAKING of a DSCC-FED INDUCTION MOTOR DRIVE -- 3.12.1 Background and Motivation -- 3.12.2 Circuit and System Configurations -- 3.12.3 Experimental Verification -- 3.13 PRACTICAL APPLICATIONS OF DSCC INVERTERS TO MEDIUM-VOLTAGE MOTOR DRIVES -- 3.14 FUTURE SCENARIOS AND CONCLUSION -- REFERENCES -- CHAPTER 4 MULTILEVEL CONVERTERS - CONTROL AND OPERATION IN INDUSTRIAL SYSTEMS -- 4.1 INTRODUCTION -- 4.2 SUMMARY OF MULTILEVEL CONVERTER TOPOLOGIES -- 4.3 CONTROL STRUCTURE OF MULTILEVEL POWER CONVERTERS -- 4.3.1 The Outer Control Loop (Stage 1) -- 4.3.2 The Inner Control Loop (Stage 2) -- 4.3.3 The Zero-Sequence Injection (Stage 3) -- 4.3.4 The In-phase Balancing Strategy (Stage 3) -- 4.4 MODULATION METHODS FOR MULTILEVEL POWER CONVERTERS (STAGE 4) -- 4.4.1 Carrier-Based Modulation Techniques -- 4.4.2 Space-vector Based Modulation Methods -- 4.4.3 Pseudo-Modulation Techniques and Control Methods with Implicit Modulator -- 4.5 Applications of Multilevel Power Converters -- 4.5.1 Grid-connected Multilevel Converters for the Integration of Renewable Energy Sources -- 4.5.2 Power Quality Applications -- 4.5.3 Motor Drive Applications -- 4.5.4 HVDC Transmission Systems -- 4.6 ADDITIONAL PRACTICAL CHALLENGES OF MULTILEVEL CONVERTERS. 4.7 FUTURE PERSPECTIVE OF MULTILEVEL CONVERTERS AND CONCLUSIONS -- REFERENCES -- CHAPTER 5 FLEXIBLE TRANSMISSION AND RESILIENT DISTRIBUTION SYSTEMS ENABLED BY POWER ELECTRONICS -- 5.1 INTRODUCTION -- 5.2 FACTS CONFIGURATIONS IN THE SMART GRID -- 5.2.1 Shunt Compensation -- 5.2.2 Series Compensation -- 5.2.3 Shunt-Series Configuration -- 5.2.4 Back-to-Back Configuration -- 5.3 RACDS CONFIGURATIONS IN THE SMART GRID -- 5.3.1 RACDS: Microgrids -- 5.3.2 RACDS: Controllable Distribution Network -- 5.3.3 RACDS: Meshed Distribution Systems -- 5.4 EVOLUTION OF FACTS AND RACDS -- 5.4.1 Traditional FACTS and RACDS -- 5.4.2 Modern FACTS and RACDS -- 5.5 FACTS AND RACDS INSTALLATIONS -- 5.5.1 Traditional FACTS Installations -- 5.5.2 Modern FACTS Installations -- 5.5.3 RACDS Installations -- 5.6 FUTURE PERSPECTIVES -- 5.6.1 Transformerless Unified Power Flow Controller -- 5.6.2 Compact Dynamic Phase-Angle Regulator -- 5.6.3 Distributed FACTS -- 5.6.4 Power Regulator for Parallel Feeders -- 5.6.5 High Power Density CMIs -- 5.7 CONCLUSION -- ACKNOWLEDGMENTS -- REFERENCES -- CHAPTER 6 RENEWABLE ENERGY SYSTEMS WITH WIND POWER -- 6.1 OVERVIEW OF WIND POWER GENERATION AND POWER ELECTRONICS -- 6.2 TECHNOLOGY CHALLENGES AND DRIVING FORCES IN THIS FIELD -- 6.2.1 Low Levelized Cost of Energy (LCOE) -- 6.2.2 Complex Mission Profiles -- 6.2.3 Strict Grid Codes -- 6.2.4 Increasing Reliability Requirements -- 6.3 WIND TURBINE CONCEPTS AND POWER ELECTRONICS CONVERTERS -- 6.3.1 Wind Turbine Concepts -- 6.3.2 Power Electronics Converters in Wind Power Applications -- 6.4 CONTROL OF WIND TURBINE SYSTEMS -- 6.5 POWER ELECTRONICS FOR MULTIPLE WIND TURBINES AND WIND FARMS -- 6.6 CONCLUSION -- REFERENCES -- CHAPTER 7 PHOTOVOLTAIC ENERGY SYSTEMS -- 7.1 INTRODUCTION -- 7.2 THERMAL AND PV SOLAR ENERGY SYSTEMS -- 7.3 The Solar Cell -- 7.4 Solar PV System Costs. 7.4.1 Incentives for More Investments in PV Systems -- 7.5 GENERAL SCHEME FOR A SOLAR PV SYSTEM -- 7.6 GRID-CONNECTED PV SYSTEMS -- 7.6.1 Utility-scale PV Power Plants -- 7.6.2 Residential and Industrial PV Applications -- 7.6.3 Low-power PV Systems -- 7.7 CONTROL OF GRID-CONNECTED PV SYSTEMS -- 7.8 STAND-ALONE PV SYSTEMS -- 7.9 ENERGY STORAGE SYSTEMS FOR PV APPLICATIONS -- 7.10 OPERATIONAL ISSUES FOR PV SYSTEMS -- 7.11 CONCLUSIONS -- REFERENCES -- CHAPTER 8 OCEAN AND GEOTHERMAL RENEWABLE ENERGY SYSTEMS -- 8.1 INTRODUCTION -- 8.2 WAVE ENERGY -- 8.2.1 Resource Characteristics -- 8.2.2 Wave Energy Conversion Technologies and Resource Characterization -- 8.2.3 Power Electronics and Control -- 8.2.4 Autonomous Applications -- 8.2.5 Cost -- 8.2.6 Rotating Machines in Marine Energy Converters -- 8.2.7 Unique Testing Opportunity for Wave Energy Converters -- 8.3 OCEAN THERMAL ENERGY CONVERSION -- 8.3.1 Resource Characteristics -- 8.3.2 OTEC Technologies -- 8.3.3 Open-cycle OTEC -- 8.3.4 Closed-cycle OTEC -- 8.3.5 OTEC Generator Grid Interface -- 8.3.6 Cost -- 8.4 TIDAL AND OCEAN CURRENTS -- 8.4.1 Resource Characteristics -- 8.4.2 Tidal Barrage, Tidal Current, and Ocean Current Technologies -- 8.4.3 Power Electronics and Grid Interface -- 8.4.4 Cost -- 8.5 GEOTHERMAL ENERGY SYSTEMS -- 8.5.1 Resource Characteristics -- 8.5.2 Geothermal Power Plant Technologies -- 8.5.3 Dry Steam -- 8.5.4 Flash Steam -- 8.5.5 Binary Cycle -- 8.5.6 Geothermal Generator Grid Interface -- 8.5.7 Cost -- 8.6 CONCLUSION -- ACKNOWLEDGMENT -- REFERENCES -- CHAPTER 9 FUEL CELLS AND THEIR APPLICATIONS IN ENERGY SYSTEMS -- 9.1 INTRODUCTION -- 9.2 DIFFERENT FUEL CELL TECHNOLOGIES -- 9.2.1 Low-temperature Fuel Cells -- 9.2.2 High-temperature Fuel Cells -- 9.3 FUEL CELL APPLICATIONS -- 9.3.1 Transportation Applications -- 9.3.2 Stationary Power Generation Applications. 9.4 ELECTRICAL CHARACTERISTICS. EBL201912 Engineering SzGeCERN EBL Power electronics BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5806448 ebook n 201951 201912 21 PUBLIC https://catalogue.library.cern/legacy/2704811 BOOK MIGRATED 2704806 SzGeCERN 20210421201348.0 9781787566859 electronic version electronic version 9781787566842 print version oai:cds.cern.ch:2704806 cerncds:BOOK EBL 5777730 eng HD60-60.5 658.408095 Habib, Farzana Quoquab Green behavior and corporate social responsibility in Asia Bingley Emerald Publishing Limited 2019 210 p ebook Front Cover -- Green Behavior and Corporate Social Responsibility in Asia -- Copyright Page -- Contents -- List of Figures -- List of Tables -- List of Exhibits -- About the Editors -- About the Contributors -- Foreword -- Preface -- Acknowledgment -- SECTION 1: GREEN BEHAVIOR -- Chapter 1 Stakeholder Expectations Toward Green Environment: "Malaysia Go Green" through MYSaveFood Initiative -- Introduction -- Food Loss and Food Waste -- The Global Scenario -- The Malaysian Scenario -- Government Initiatives to Reduce FLW -- Malaysian Save Food (MYSaveFood) Network -- Partners of the MYSaveFood network -- The MYSaveFood Secretariat -- The MYSaveFood Active Partners -- MYSaveFood Activities -- Awareness Programs -- Print and Broadcast Media Awareness -- Social Media Awareness -- Awareness Merchandises -- Awareness at Schools: Sustainable Future through Education -- School Attack by Media Prima Sdn Bhd -- Clean Our Plate by AIESEC -- Joy Schools Program by Mondelez International -- Edible Garden Kitchen by TESCO -- Environment Week by PetroSains, Kuala Lumpur City Centre (KLCC) -- Charity-based Programs -- Time to Make Decision: Go for Green for Future Generation -- References -- Chapter 2 The British Council Lahore's Green and LEED-certified Library Building -- Designing the Library -- Nayyar Ali Dada &amp -- Associates -- The Client -- Doing Business Sustainably -- Policy and Regulatory Environment in Pakistan -- LEED Certification -- British Council Library Design -- The Problem -- Acknowledgment -- References -- Chapter 3 Geetanjali Woollens Pvt Ltd: In the Pursuit of Sustenance for Sustainability -- Introduction -- An Overview of Geetanjali Woollens Pvt Ltd -- The Mechanical Recycling Process at Geetanjali -- A Situation of Complexity and Dilemma -- Anomalies and Challenges in the Mechanical Recycling Business - Inception and Impressions. Business Sustenance vs Sustainability Business: Madhukar's Dilemma -- Acknowledgment -- References -- Chapter 4 WWF-Turkey's Green Office Initiatives -- World Wildlife Fund (WWF) Turkey -- WWF's Green Office Program -- Implementation of the Green Office Programs by WWF-Turkey -- Benefits of Green Office Program -- Challenges of Implementing Green Office Concept -- The Case of KeepAllFresh Inc -- Reducing Paper Usage -- Increasing Volume of Recycled Material -- Raising Employees' Environmental Awareness -- In Epitome… -- References -- Chapter 5 Sumbiling Eco Village: Promoting Ecotourism in the Temburong District -- Ecotourism in Brunei -- Temburong District: The Ecotourism Destination -- Sumbiling Eco Village (SEV) -- SEV's Green Activities -- SEV's Promotion Strategy -- Sumbiling Eco Village's Challenges -- In a Nutshell… -- References -- Chapter 6 Implementing the Concept of Green Space: The Case of Hirdaramani Mihila CKT Apparel Factory in Agalawatte, Sri Lanka -- Sri Lankan Apparel Industry's Focus on Green Concept -- Hirdaramani Mihila Factory's Green Initiatives -- Challenges Faced in Implementing the Green Space -- "Mihila" Factory's Awards and Recognitions -- Factory Employees' Perception -- Hard Work Pays Off… -- References -- Chapter 7 Green Human Resource Management Practices among ISO14001-certified Malaysian Manufacturing Firms -- Introduction -- Green Human Resource Management (HRM) Practices and Its Challenges -- Green Recruitment and Selection -- Green Training and Development -- Green Assessment and Rewards -- ISO14001-certified Malaysian Manufacturing Firms -- Green HRM Practices: Evidences from ISO14001-certified Manufacturing Firms -- The Journey Continues […] -- References -- Chapter 8 Turkey's Antalya International Airport: Obtaining Green Organization Certification -- ICF Airports Antalya. Airport Terminal Management in Turkey -- Turkey's Green Airport Project -- The Green Company Certification Process of ICF Airports Antalya -- Challenges in Green Airport Certification -- Overcoming the Barriers -- Legal Obligations -- Complex Application Procedures -- Involvement of Employees -- Increasing Public Awareness -- Infrastructure Problems -- Regulatory Requirements -- Length of Return-on-investment -- Finally Achieving the Certification -- There is Sunshine after the Rain… -- References -- Chapter 9 Babylon Vertical Farms: Toward Sustainable Green Organization -- Introduction -- Urban Farming -- Traditional Farming to Urban Farming -- Various Forms of Urban Farming -- Urban Farming Value -- Urban Farming Challenges -- Local Urban Farms in Malaysia -- Loo Urban Farm -- City Farm Malaysia -- FOLO Farms -- The Major Player of Urban Farm in Malaysia -- The Future of Vertical Farming -- Babylon Vertical Farms -- Product and Service -- Scale-up Decision on Demand -- Stuart's Dilemma -- Acknowledgment -- References -- Chapter 10 Waste Management for the Better Environment: A Case of Municipality in Iran -- Waste Management: The Global Concern -- Municipality Waste Management in Iran -- Techniques Used in Iran for Generating Energy from the Wastes -- Waste Disposal Methods -- Recycling -- Composting -- Landfill -- Combustion -- High Waste Generation and Low-level Recycling in Iran -- Challenges Faced by the Iranian Municipality -- Examples from Two Local Companies -- Case 1: Nik Ahang Co. (Plastic Recycling Company) -- Case 2: Foolad Gostar Atieh Sepahan (The Producer of Industrial Scrap) -- For a Better Future… -- References -- Chapter 11 "No Plastic Bag" Campaign of Malaysia -- The Moment of Truth… -- Malaysian Government's Environmental Concern -- "No Plastic Bag" Initiative -- Consumer's Reaction -- Azmir's Concern… -- References. SECTION 2: CORPORATE SOCIAL RESPONSIBILITY AND PHILANTHROPY -- Chapter 12 Initiatives in a Limbo: Finding a Common Ground for Corporate Social Responsibility, Social Innovation, and Soci... -- The Report Card -- Social Innovation@Progressive Technical University -- In Search of a Social Purpose -- How to Move with the Tempo of Progress? -- Upscaling the Movement of Social Innovation -- Of Indigenous Wisdom and the Grand Race -- The HHO Project -- The Meeting: CSR Is Not Social Innovation! -- Is This the Right Way Forward? -- References -- Chapter 13 BruTEL's "Going Paperless" Initiative -- BruTEL Cellular -- The Goals of BruTEL's CSR Agenda -- BruTEL's "GoPaperless" Initiative -- BruTEL's Dilemma -- Whether to Go Paperless… -- References -- Chapter 14 You Only Live Once: A CSR Initiative by Azman Hashim IBS Students -- Introduction -- Azman Hashim International Business School: It's MBA Module for Ethics and Professionalism Components -- CSR Initiative by Ahibs MBA Students -- Proposal for YOLO Project -- Sponsorship -- Plan for the Activities -- The Urgency -- Chapter 15 Society for Community Outreach and Training (SCOT)'s Green Xchange Project -- SCOT's Attempt in Overcoming Financial Challenges -- Society for Community Outreach and Training -- SCOT's Activities toward Alleviating Poverty -- The Youth against Poverty Workshop -- SCOT Education -- SCOT Agriculture -- The Financial Challenge of SCOT -- The Green Xchange Project: Is It the Panacea? -- The Ray of Hope… -- References -- Chapter 16 Care for the Animals: Isn't It Our Responsibility Too? -- The Storm of Thoughts… -- Animal Shelters - Malaysian Perspective -- Pet Adoption Scenario -- We Care for You (WCFY) -- Brian Teoh - The Founder -- Awareness Is the Key -- References -- Index. This book utilizes 16 cases that reflect the reaction, response, managerial problems and success of seven Asian countries in adopting green concepts, such as: green behavior, sustainability marketing, green marketing, green organization, eco-tourism, green human resource practices, and corporate social responsibility. EBL201912 Commerce, Economics, Social Science SzGeCERN BOOK Al-Nusairat, Jihad Mohammad Dhahi https://cds.cern.ch/auth.py?r=EBLIB_P_5777730 ebook n 201951 201912 21 PUBLIC https://catalogue.library.cern/legacy/2704806 BOOK MIGRATED 2704754 SzGeCERN 20200503232047.0 9781351407786 electronic version electronic version 9781574442663 print version oai:cds.cern.ch:2704754 cerncds:BOOK EBL 5092137 eng HD62.15.R677 1999 658.4013 Ross, Joel E Total quality management text, cases, and readings 3rd ed. London Routledge 1999 567 p Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- 1: Introduction to Total Quality Management -- The Concept of TQM -- Antecedents of Modem Quality Management -- The Quality Gurus -- Accelerating Use of TQM -- Quality and Business Performance -- Service Quality vs Product Quality -- The Baldrige Award -- Questions for Discussion -- Endnotes -- Example Turnaround at IBM after Baldrige Quest -- Case Lessons from the Best -- Reading From the Classroom to the Boardroom -- Reading Quality and the Required Style of Management: The Need for Change -- For Further Reading -- 2: Leadership -- Leadership System -- Attitude and Involvement of Top Management -- Communication -- Culture -- Management Systems -- Questions for Discussion -- Endnotes -- Example Trident: A Company Winner Demonstrates Leadership -- Case Moments of Truth in a Service Business -- Reading If It's Tuesday, It Must Be ISO 9000 -- Exercise Leadership at Varifilm -- For Further Reading -- 3: Information and Analysis -- Organizational Implications -- Strategic Information Systems -- Shortcomings of Accounting Systems -- Organizational Linkages -- Advanced Processes/Systems -- Information and the Customer -- Systems Design -- Questions for Discussion -- Endnotes -- Example Information and Analysis at 3M -- Case Information Systems at Lake City Machine Tool -- Reading What Does It All Mean? -- Exercise Information Systems and Analysis at Varifilm -- For Further Reading -- 4: Strategic Planning -- Strategy and the Strategic Planning Process -- Strategic Quality Management -- Definition of Quality -- Control -- Service Quality -- Summary -- Questions for Discussion -- Endnotes -- Example Strategy Deployment at Raytheon -- Case Amex Looks Beyond Satisfaction, Sees Growth -- Reading Quality and the Role of Strategy -- Exercise Strategic Planning at Varifilm. For Further Reading -- 5: Human Resource Focus -- Involvement: A Central Idea of Human Resource Utilization -- Training and Development -- Selection -- Performance Appraisal -- Compensation Systems -- Total-Quality-Oriented Human Resource Management -- Questions for Discussion -- Endnotes -- Example Xerox Focuses on Human Resources -- Case Quality Drives Trident's Success -- Reading Plugging into the Power of Leadership Teams -- Exercise Human Resources at Varifilm -- For Further Reading -- 6: Process Management -- A Brief History of Quality Control -- Product Inspection vs. Process Control -- Moving from Inspection to Process Control -- Statistical Quality Control -- Tools for Statistical Quality Control -- Problem Analysis -- Pareto Analysis -- Control Charts -- Manufacturing to Specification vs. Manufacturing to Reduce Variations -- Process Control in Service Industries -- Process Control for Internal Services -- Quality Function Deployment -- Just-in-Time -- Just-in-Time or Just-in-Case -- The Human Side of Process Control -- Questions for Discussion -- Endnotes -- Example Process Management at MLCC -- Case Quality Function Deployment: A Case Study -- Reading Reducing Variability-Key to Continuous Quality Improvement -- Exercise Process Quality at Varifilm -- For Further Reading -- 7: Customer and Market Focus -- Process vs. Customer -- Internal Customer Conflict -- Defining Quality -- A Quality Focus -- The Driver of Customer Satisfaction -- Handling Service Complaints -- Getting Employee Input -- Measurement of Customer Satisfaction -- The Role of Marketing and Sales -- The Sales Process -- Service Quality and Customer Retention -- Customer Retention and Profitability -- Buyer-Supplier Relationships -- Questions for Discussion -- Endnotes -- Example Customer Focus at Solectron -- Case Hewlett-Packard Company. Reading Overview: Customer Satisfaction Research -- Exercise Customer Focus at Varifilm -- For Further Reading -- 8: Benchmarking -- The Evolution of Benchmarking -- The Essence of Benchmarking -- Benchmarking and the Bottom Line -- The Benefits of Benchmarking -- Types of Benchmarking -- Strategic Benchmarking -- The Benchmarking Process -- Identify the Best-in-Class -- Measure Your Own Performance -- Actions to Close the Gap -- Pitfalls of Benchmarking -- Questions for Discussion -- Endnotes -- Example Benchmarking for Continuous Improvement -- Case Can Benchmarking Give You a Competitive Edge? -- Reading Reduce Variation and Save Money -- Exercise Benchmarking at Varifilm -- For Further Reading -- 9: Organizing for Total Quality Management -- Organizing for TQM: The Systems Approach -- Organizing for Quality Implementation -- The People Dimension: Making the Transition from a Traditional to a TQM Organization -- The Practice of Management -- Roles in Organizational Transition to TQM -- Small Groups and Employee Involvement -- Teams for TQM -- Summary: Some Prerequisites for TQM Success -- Questions for Discussion -- Endnotes -- Example Organizing with Teams at Eastman Chemical Company -- Case Organizing for New Product Development -- Reading Organizing by Process -- For Further Reading -- 10: Productivity, Quality, and Reengineering -- The Leverage of Productivity and Quality -- Management Systems vs. Technology -- Productivity in the United States -- Measuring Productivity -- Basic Measures of Productivity: Ratio of Output to Input -- White-Collar Productivity -- Improving Productivity (and Quality) -- Capital Equipment vs. Management Systems -- Activity Analysis -- Reengineering -- Questions for Discussion -- Endnotes -- Example Wainwright Industries: Reengineering at a Small Company -- Case Productivity-Improvement Team Does Its Job. Reading Just Do It: An Interview with Michael Hammer -- Exercise Productivity at Varifilm -- For Further Reading -- 11: The Cost of Quality -- Cost of Quality Defined -- The Cost of Quality -- Three Views of Quality Costs -- Quality Costs -- Measuring Quality Costs -- The Use of Quality Cost Information -- Accounting Systems and Quality Management -- Activity-Based Costing -- Questions for Discussion -- Endnotes -- Example Armstrong World Industries Tracks Cost of Quality -- Case Cost-of-Quality Reporting: How We See It -- Reading Controls and Creativity in Organizations -- For Further Reading -- 12: ISO 9000 and ISO 14000: Universal Standards of Quality -- ISO Around the World -- ISO 9000 in the United States -- The ISO 9000 and ANSI/ASQC Q-90 Series Standards -- Benefits of ISO 9000 Certification -- Getting Certified: The Process -- Getting Certified: The Third-Party Audit -- Documentation -- Post-Certification -- Choosing an Accredited Registration Service -- ISO 9000 and Services -- The Cost of Certification -- ISO 9000 vs. The Baldrige Award -- Implementing the System -- The Future of ISO 9000 -- ISO 14000 Environmental Management System -- Questions for Discussion -- Endnotes -- Example Baldrige Winners Register for ISO Certification -- Case MKS Fits ISO 9000 into Existing Systems -- Reading Thinking Export? Think ISO 9000 -- For Further Reading -- 13: Theory of Constraints -- The Goal -- The Chain Analogy -- The Systems Approach vs. Conventional Management -- Physical vs. Policy Constraints -- The Theory of Constraints and the Process of Ongoing Improvement -- The Thinking Process (Logic Trees) -- Theory of Constraints Measurement System for Decision Making -- The Theory of Constraints Management System -- Questions for Discussion -- Endnotes -- Case Making Production Predictable -- Case The Theory of Constraints: Application to a Service Firm. Reading Quality and the Theory of Constraints -- 14: Varifilm Case Study -- Overview -- Category 1.0 Leadership -- Category 2.0 Information and Analysis -- Category 3.0 Strategic Quality Planning -- Category 4.0 Human Resource Development and Management -- Category 5.0 Management of Process Quality -- Category 6.0 Quality and Operational Results -- Category 7.0 Customer Focus and Satisfaction -- Appendix: Quality-Related Information on the Internet -- Index. Perry, Susan https://cds.cern.ch/auth.py?r=EBLIB_P_5092137 ebook ebook EBL201912 Commerce, Economics, Social Science SzGeCERN BOOK n 201951 21 PUBLIC BOOK DELETED 2704743 SzGeCERN 20210421201400.0 9781498752916 electronic version electronic version 9781498752909 print version oai:cds.cern.ch:2704743 cerncds:BOOK EBL 4388681 eng TJ1075.W57 2016 621.8/9 Pirro, Don M Lubrication fundamentals 3rd ed. Boca Raton, FL CRC Press 2016 609 p ebook Intro -- Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgments -- Authors -- ExxonMobil Contributors to the Third Edition -- Chapter 1: Introduction -- I. Premodern History of Petroleum -- II. Petroleum in North America -- III. Development of Lubricants -- IV. History of Synthetic Lubricants -- V. Future Prospects -- Bibliography -- Chapter 2: Lubricant Base Stock Production and Application -- I. Lubricant Base Stocks and Their Application -- A. American Petroleum Institute Group I, II, III, IV, and V Base Stocks -- 1. Group I Base Stocks -- 2. Group II and Group III Base Stocks -- 3. Group II+ and Group III+ Base Stocks -- 4. Group IV Base Stocks -- 5. Group V Base Stocks -- B. Base Stock Selection -- C. Product Applications -- D. Base Oil Slate -- II. Role of Crude Oil in the Manufacture of Base Stock -- A. Chemistry of Crude Oil -- B. Crude Selection -- III. Refinery Processing-Separation versus Conversion -- A. Atmospheric Distillation -- B. Vacuum Distillation -- C. Propane Deasphalting -- IV. Conventional Solvent Processing -- A. Solvent Extraction -- B. Solvent Dewaxing -- C. Hydrofinishing -- V. Conversion Processing -- A. Hydrocracking -- B. Catalytic Dewaxing -- C. Alternate Processing for Group III+ Quality -- D. Gas-to-Liquids via Fischer Tropsch Synthesis -- VI. Base Stock Composition -- Bibliography -- Chapter 3: Lubricating Oils -- I. Additives -- A. Pour Point Depressants -- B. VI Improvers -- C. Defoamants -- D. Oxidation Inhibitors -- E. Rust and Corrosion Inhibitors -- F. Detergents and Dispersants -- G. Antiwear Additives -- H. Extreme Pressure Additives -- II. Physical and Chemical Characteristics -- A. Carbon Residue -- B. Color -- C. Density and Gravity -- D. Flash and Fire Points -- E. Neutralization Number -- F. Total Acid Number -- G. TBN -- H. Pour Point. I. Sulfated Ash -- J. Viscosity -- 1. Engine Oil Viscosity Classification -- 2. Axle and Manual Transmission Lubricant Viscosity Classification -- 3. Viscosity System for Industrial Fluid Lubricants -- K. VI -- III. Evaluation and Performance Tests -- A. Oxidation Tests -- B. Thermal Stability -- C. Rust Protection Tests -- D. Foam Tests -- E. EP and Antiwear Tests -- 1. Abrasive Wear -- 2. Corrosive or Chemical Wear -- 3. Adhesive Wear -- 4. Fatigue Wear -- F. Emulsion and Demulsibility Tests -- IV. Engine Tests for Oil Performance -- A. Oxidation Stability and Bearing Corrosion Protection -- B. Single Cylinder High Temperature Tests -- C. Multicylinder High Temperature Engine Tests -- D. Multicylinder Low Temperature Tests -- E. Rust and Corrosion Protection Tests -- F. Oil Consumption Rates and Volatility -- G. Emissions and Protection of Emission Control Systems -- H. Fuel Economy -- V. Automotive Gear Lubricants -- VI. ATFs -- Bibliography -- Chapter 4: Lubricating Greases -- I. Why Greases Are Used -- II. Composition of Grease -- A. Fluid Components -- B. Thickeners -- C. Additives -- III. Manufacture of Grease -- IV. Grease Characteristics -- A. Consistency -- 1. Cone Penetration -- 2. NLGI Grease Grade Numbers -- B. Dropping Point -- V. Evaluation and Performance Tests -- A. Mechanical or Structural Stability Tests -- B. Static Oxidation Test -- C. Dynamic Oxidation Tests -- D. Oil Separation Tests -- E. Water Resistance Tests -- F. Rust Protection Tests -- G. Extreme Pressure and Wear Prevention Tests -- H. Grease Compatibility -- I. Apparent Viscosity -- Bibliography -- Chapter 5: Synthetic Lubricants -- I. SHFs -- A. PAOs (Olefin Oligomers) -- B. Alkylated Aromatics -- 1. Application -- C. Polybutenes -- 1. Application -- D. Cycloaliphatics -- 1. Applications -- II. Organic Esters -- A. Dibasic Acid Esters -- 1. Application. B. Polyol Ester -- 1. Application -- III. Polyglycols -- A. Application -- IV. Phosphate Esters -- A. Application -- V. Other Synthetic Lubricating Fluids -- A. Silicones -- 1. Application -- B. Silicate Esters -- 1. Application -- C. Polyphenyl Ethers -- 1. Application -- D. Halogenated Fluids -- 1. Application -- Bibliography -- Chapter 6: Environmental Lubricants -- I. Environmental Considerations -- II. Definitions and Test Procedures -- A. Toxicity -- B. Biodegradability -- C. Bioaccumulation -- III. Environmental Criteria -- A. National Labeling Programs -- 1. Blue Angel -- 2. Swedish Standard -- 3. U.S. Department of Agriculture BioPreferred® -- 4. U.S. VGP (U.S. VGP 2013) -- B. International Labeling Programs -- 1. Nordic Swan -- 2. European Ecolabel -- IV. Environmental Characteristics of Various Base Stocks -- A. Overview of Base Stock Options -- V. Product Availability and Performance -- A. Vegetable Oil-Based EAL Performance Concerns -- 1. Oxidation Stability -- 2. Low Temperature Performance -- 3. Hydrolytic Stability -- VI. Product Selection Process -- A. Environmental Acceptability -- B. Specifications -- C. Equipment Builder Approvals -- D. Proven Field Performance -- D. Proven Field Performance -- F. Operating and Maintenance Conditions -- VII. Converting to EALs -- Bibliography -- Chapter 7: Hydraulics -- I. Basic Principles -- A. Hydromechanics -- B. Fundamental Hydraulic Systems -- II. System Components -- A. Hydraulic Pumps -- 1. Gear Pumps -- 2. Vane Pumps -- 3. Piston Pumps -- 4. Radial Piston Pumps -- 5. Axial Piston Pumps -- B. Pump Selection Criteria -- III. Controlling Pressure and Flow -- A. Relief Valves -- B. Directional Control Valves -- C. Unloading Valves -- D. Sequence Control Valve -- E. Flow Control Valves -- F. Accumulators -- IV. Actuators -- A. Hydraulic Cylinders -- B. Rotary Fluid Motors -- V. Hydraulic Drives. A. Hydrostatic Drives -- VI. Oil Reservoirs -- VII. Oil Qualities Required by Hydraulic Systems -- A. Viscosity -- B. Viscosity Index -- C. Antiwear (Wear Protection) -- D. Oxidation Stability -- E. Air Entrainment -- F. Antifoam -- G. Demulsibility (Water Separating Ability) -- H. Rust Protection -- I. Compatibility -- VIII. Hydraulic Fluid Types -- A. Industry Standards and OEM Approvals -- IX. Hydraulic System Maintenance -- A. Filtration -- B. Controlling Temperatures -- C. Maintaining Proper Reservoir Oil Levels -- D. Periodic Oil Analysis -- E. Routine Inspections -- Bibliography -- Chapter 8: Lubricating Films and Machine Elements: Bearings, Slides, Guides, Ways, Gears, Cylinders, Couplings, Chains, Wire Ropes -- I. Types of Lubricating Films -- A. Fluid Films -- 1. Thick Hydrodynamic Films -- 2. Thin Elastohydrodynamic (EHL) Films -- 3. Hydrostatic Films -- 4. Squeeze Films -- B. Thin Surface Films -- 1. Nature of Surfaces -- 2. Surface Contact -- C. Solid or Dry Films -- II. Plain Bearings -- A. Hydrodynamic Lubrication -- 1. Grease Lubrication -- B. Hydrostatic Lubrication -- 1. Constant Volume System -- 2. Constant Pressure System with Flow Restrictor -- 3. Constant Pressure with Flow Control Valve -- 4. Hydrostatic Bearing Applications -- C. Thin Film Lubrication -- 1. Wearing In of Thin Film Bearings -- D. Mechanical Factors -- 1. Length/Diameter Ratio -- 2. Projected Area -- 3. Clearance -- 4. Bearing Materials -- 5. Surface Finish -- 6. Grooving of Bearings -- E. Lubricant Selection -- 1. Oil Selection -- 2. Grease Selection -- III. Rolling Element Bearings -- A. Need for Lubrication -- B. Factors Affecting Lubrication -- 1. Effect of Speed -- 2. Effect of Load -- 3. Effect of Temperature -- 4. Contamination -- C. Lubricant Selection -- 1. Oil Selection -- 2. Grease Selection -- IV. Slides, Guides, and Ways -- A. Film Formation. 1. Grease Lubrication -- 2. Lubricant Characteristics -- V. Linear Motion Guides -- A. Lubricant Selection -- 1. Oil Lubrication -- 2. Grease Lubrication -- VI. Gears -- A. Action between Gear Teeth -- B. Film Formation -- C. Factors Affecting Lubrication of Enclosed Gears -- 1. Gear Type -- 2. Gear Speed -- 3. Reduction Ratio -- 4. Operating and Startup Temperatures -- 5. Transmitted Power and Load -- 6. Surface Finish -- 7. Drive Type -- 8. Application Method -- 9. Water Contamination -- 10. Lubricant Leakage -- VII. Lubricant Characteristics for Enclosed Gears -- A. AGMA Standard for Industrial Gear Lubricants -- VIII. Lubrication of Open Gears -- A. Factors Affecting Lubrication of Open Gears -- 1. Temperature -- 2. Dust and Dirt -- 3. Water -- 4. Method of Application -- 5. Load Characteristics -- B. AGMA Specifications for Lubricants for Open Gearing -- IX. Cylinders -- X. Flexible Couplings -- A. Lubrication of Flexible Couplings -- 1. Gear Couplings -- 2. Chain Couplings -- 3. Spring-Laced Couplings -- 4. Sliding Couplings -- 5. Slipper Joint Couplings -- 6. Flexible Member Couplings -- 7. Lubrication Techniques -- XI. Drive Chains -- A. Silent and Roller Chains -- B. Cast or Forged Link Chains -- C. Viscosity Selection -- XII. Cams and Cam Followers -- XIII. Wire Ropes -- A. Need for Lubrication -- 1. Wear -- 2. Fatigue -- 3. Corrosion -- 4. Core Protection -- B. Lubrication during Manufacture -- C. Lubrication in Service -- D. Lubricant Characteristics -- Bibliography -- Chapter 9: Application of Lubricants -- I. All-Loss Methods -- A. Oiling Devices -- 1. Drop Feed and Wick Feed Cups -- 2. Bottle Oilers -- 3. Wick and Pad Oilers -- 4. Mechanical Force Feed Lubricators -- 5. Air Line Oilers -- 6. Air Spray Application -- B. Grease Application -- II. Reuse Methods -- A. Circulation Systems -- 1. Oil Reservoirs -- 2. Pump Suction. 3. Bearing Housings. EBL201912 Engineering SzGeCERN BOOK Webster, Martin Daschner, Ekkehard https://cds.cern.ch/auth.py?r=EBLIB_P_4388681 ebook n 201951 201912 21 PUBLIC https://catalogue.library.cern/legacy/2704743 BOOK MIGRATED 2704733 SzGeCERN 20210421201403.0 9781317660378 electronic version electronic version 9780415584371 print version oai:cds.cern.ch:2704733 cerncds:BOOK EBL 1924458 eng TJ808 -- .T95 2015eb 621.042 Twidell, John Renewable energy resources 3rd ed. London Routledge 2006 817 p ebook Cover -- Title -- Copyright -- Dedication -- Contents -- Preface -- Figure and photo acknowledgments -- List of symbols -- List of abbreviations -- 1 Principles of renewable energy -- 1.1 Introduction -- 1.2 Energy and sustainable development -- 1.3 Fundamentals -- 1.4 Scientific principles of renewable energy -- 1.5 Technical implications -- 1.6 Standards and regulations -- 1.7 Social implications -- Chapter summary -- Quick questions -- Problems -- Bibliography -- 2 Solar radiation and the greenhouse effect -- 2.1 Introduction -- 2.2 Extraterrestrial solar radiation -- 2.3 Components of radiation -- 2.4 Geometry of the Earth and the Sun -- 2.5 Geometry of collector and the solar beam -- 2.6 Atmospheric transmission, absorption and reflection -- 2.7 Measuring solar radiation -- 2.8 Site estimation of solar radiation -- 2.9 Greenhouse effect and climate change -- Chapter summary -- Quick questions -- Problems -- Bibliography -- Box 2.1 Radiation transmitted, absorbed and scattered by the Earth's atmosphere -- Box 2.2 Units of gas concentration -- Box 2.3 Why we know that recent increases in C02 and in temperature are due to human activity (anthropogenic) -- 3 Solar water heating -- 3.1 Introduction -- 3.2 Calculation of heat balance: general remarks -- 3.3 Flat-plate collectors -- 3.4 Systems with separate storage -- 3.5 Selective surfaces -- 3.6 Evacuated collectors -- 3.7 Instrumentation and monitoring -- 3.8 Social and environmental aspects -- Chapter summary -- Quick questions -- Problems -- Bibliography -- Box 3.1 Reference temperature Tref for heat circuit modeling -- 4 Other solar thermal applications -- 4.1 Introduction -- 4.2 Air heaters -- 4.3 Crop driers -- 4.4 Solar thermal refrigeration and cooling -- 4.5 Water desalination -- 4.6 Solar salt-gradient ponds -- 4.7 Solar concentrators. 4.8 Concentrated Solar Thermal Power (CSTP) for electricity generation -- 4.9 Fuel and chemical synthesis from concentrated solar -- 4.10 Social and environmental aspects -- Chapter summary -- Quick questions -- Problems -- Bibliography -- Box 4.1 Solar desiccant cooling -- 5 Photovoltaic (PV) power technology -- 5.1 Introduction -- 5.2 Photovoltaic circuit properties -- 5.3 Applications and systems -- 5.4 Maximizing cell efficiency (Si cells) -- 5.5 Solar cell and module manufacture -- 5.6 Types and adaptations of photovoltaics -- 5.7 Social, economic and environmental aspects -- Chapter summary -- Quick questions -- Problems -- Bibliography -- Box 5.1 Self-cleaning glass on module PV covers -- Box 5.2 Solar radiation absorption at p-n junction -- Box 5.3 Manufacture of silicon crystalline cells and modules -- Box 5.4 An example of a sophisticated Si solar cell -- 6 Hydropower -- 6.1 Introduction -- 6.2 Principles -- 6.3 Assessing the resource -- 6.4 Impulse turbines -- 6.5 Reaction turbines -- 6.6 Hydroelectric systems -- 6.7 Pumped hydro storage -- 6.8 Social and environmental aspects -- Chapter summary -- Quick questions -- Problems -- Bibliography -- Box 6.1 Measurement of flow rate Q -- Box 6.2 'Specific speed' -- Box 6.3 The Three Gorges hydroelectric installation, China -- 7 Wind resource -- 7.1 Introduction -- 7.2 World wind -- 7.3 Characteristics of the wind -- 7.4 Wind instrumentation, measurement, and computational tools and prediction -- Chapter summary -- Quick questions -- Problems -- Bibliography -- 8 Wind power technology -- 8.1 Introduction -- 8.2 Turbine types and terms -- 8.3 Linear momentum theory -- 8.4 Angular momentum theory -- 8.5 Dynamic matching -- 8.6 Blade element theory -- 8.7 Power extraction by a turbine -- 8.8 Electricity generation -- 8.9 Mechanical power. 8.10 Social, economic and environmental considerations -- Chapter summary -- Quick questions -- Problems -- Bibliography -- Box 8.1 Experiencing lift and drag forces -- Box 8.2 Multimode wind power system with load-management control at Fair Isle, Scotland -- 9 Biomass resources from photosynthesis -- 9.1 Introduction -- 9.2 Photosynthesis: a key process for life on Earth -- 9.3 Trophic level photosynthesis -- 9.4 Relation of photosynthesis to other plant processes -- 9.5 Photosynthesis at the cellular and molecular level -- 9.6 Energy farming: biomass production for energy -- 9.7 R&D to 'improve' photosynthesis -- 9.8 Social and environmental aspects -- Chapter summary -- Quick questions -- Problems -- Bibliography -- Box 9.1 Structure of plant leaves -- Box 9.2 Sugar cane: an example of energy farming -- Box 9.3 How is biomass resource assessed? -- 10 Bioenergy technologies -- 10.1 Introduction -- 10.2 Biofuel classification -- 10.3 Direct combustion for heat -- 10.4 Pyrolysis (destructive distillation) -- 10.5 Further thermochemical processes -- 10.6 Alcoholic fermentation -- 10.7 Anaerobic digestion for biogas -- 10.8 Wastes and residues -- 10.9 Biodiesel from vegetable oils and algae -- 10.10 Social and environmental aspects -- Chapter summary -- Quick questions -- Problems -- Bibliography -- Box 10.1 Gross and net calorific values -- Box 10.2 Ethanol in Brazil -- Box 10.3 Bio/fossil balance of liquid biofuels -- Box 10.4 Greenhouse gas balance of liquid biofuels -- 11 Wave power -- 11.1 Introduction -- 11.2 Wave motion -- 11.3 Wave energy and power -- 11.4 Real (irregular) sea waves: patterns and power -- 11.5 Energy extraction from devices -- 11.6 Wave power devices -- 11.7 Social, economic and and environmental aspects -- Chapter summary -- Quick questions -- Problems -- Bibliography. Box 11.1 Satellite measurement of wave height, etc. -- Box 11.2 Wave energy in the UK -- Box 11.3 Basic theory of an OWC device -- 12 Tidal-current and tidal-range power -- 12.1 Introduction -- 12.2 The cause of tides -- 12.3 Enhancement of tides -- 12.4 Tidal-current/stream power -- 12.5 Tidal-range power -- 12.6 World tidal power sites -- 12.7 Social and environmental aspects -- Chapter summary -- Quick questions -- Problems -- Bibliography -- Box 12.1 Tsunamis -- Box 12.2 Blockage effects on turbine output in narrow channels -- 13 Ocean gradient energy: OTEC and osmotic power -- 13.1 General introduction -- 13.2 Ocean Thermal Energy Conversion (OTEC): introduction -- 13.3 OTEC principles -- 13.4 Practical considerations about OTEC -- 13.5 Devices -- 13.6 Related technologies -- 13.7 Social, economic and environmental aspects -- 13.8 Osmotic power from salinity gradients -- Chapter summary -- Quick questions -- Problems -- Bibliography -- Box 13.1 Rankine cycle engine -- 14 Geothermal energy -- 14.1 Introduction -- 14.2 Geophysics -- 14.3 Dry rock and hot aquifer analysis -- 14.4 Harnessing geothermal resources -- 14.5 Ground-source heat pumps -- 14.6 Social and environmental aspects -- Chapter summary -- Quick questions -- Problems -- Bibliography -- 15 Energy systems: integration, distribution and storage -- 15.1 Introduction -- 15.2 Energy systems -- 15.3 Distribution technologies -- 15.4 Electricity supply and networks -- 15.5 Comparison of technologies for energy storage -- 15.6 Energy storage for grid electricity -- 15.7 Batteries -- 15.8 Fuel cells -- 15.9 Chemicals as energy stores -- 15.10 Storage for heating and cooling systems -- 15.11 Transport systems -- 15.12 Social and environmental aspects of energy supply and storage -- Chapter summary -- Quick questions -- Problems -- Bibliography. Box 15.1 It's a myth that energy storage is a challenge only for renewable energy -- Box 15.2 Self-sufficient energy systems -- Box 15.3 Capacity credit, dispatchability and predictability -- Box 15.4 Grid stability with high wind penetration: west Denmark and Ireland -- Box 15.5 Combining many types of RE enables large RE penetration: two modeled cases -- Box 15.6 Scaling up batteries: flow cells -- Box 15.7 A small island autonomous wind-hydrogen energy system -- 16 Using energy efficiently -- 16.1 Introduction -- 16.2 Energy services -- 16.3 Energy end-use by sector -- 16.4 Energy-efficient solar buildings -- 16.5 Transport -- 16.6 Manufacturing industry -- 16.7 Domestic energy use -- 16.8 Social and environmental aspects -- Chapter summary -- Quick questions -- Problems -- Bibliography -- Box 16.1 Maximum efficiency of heat engines -- Box 16.2 The impact of technology change in lighting in England, 1500-2000 -- Box 16.3 Summary of RE applications in selected end-use sectors -- Box 16.4 Building codes -- Box 16.5 The Solar Decathlon -- Box 16.6 Electrochromic windows -- Box 16.7 Curitiba: a case study of urban design for sustainability and reduced energy demand -- Box 16.8 Proper sizing of pipes and pumps saves energy -- Box 16.9 Energy use in China -- 17 Institutional and economic factors -- 17.1 Introduction -- 17.2 Socio-political factors -- 17.3 Economics -- 17.4 Life cycle analysis -- 17.5 Policy tools -- 17.6 Quantifying choice -- 17.7 Present status of renewable energy -- 17.8 The way ahead -- Chapter summary -- Quick questions -- Problems -- Bibliography -- Box 17.1 Climate change projections and impacts -- Box 17.2 External costs of energy -- Box 17.3 Environmental impact assessment matrix -- Box 17.4 Some definitions -- Box 17.5 Contrasting energy scenarios: 'Business As Usual' vs. 'Energy Revolution'. Review 1 Electrical power for renewables. Renewable Energy Resources is a numerate and quantitative text covering the full range of renewable energy technologies and their implementation worldwide. Energy supplies from renewables (such as from biofuels, solar heat, photovoltaics, wind, hydro, wave, tidal, geothermal, and ocean-thermal) are essential components of every nation's energy strategy, not least because of concerns for the local and global environment, for energy security and for sustainability. Thus in the years between the first and this third edition, most renewable energy technologies have grown from fledgling impact to significant importance because they make good sense, good policy and good business. This Third Edition is extensively updated in light of these developments, while maintaining the book's emphasis on fundamentals, complemented by analysis of applications. Renewable energy helps secure national resources, mitigates pollution and climate change, and provides cost effective services. These benefits are analysed and illustrated with case studies and worked examples. The book recognises the importance of cost effectiveness and efficiency of end-use. Each chapter begins with fundamental scientific theory, and then considers applications, environmental impact and socio-economic aspects before concluding with Quick Questions for self-revision and Set Problems. The book includes Reviews of basic theory underlying renewable energy technologies, such as electrical power, fluid dynamics, heat transfer and solid-state physics. Common symbols and cross-referencing apply throughout; essential data are tabulated in appendices. An associated eResource provides supplementary material on particular topics, plus a solutions guide to Set Problems. Renewable Energy Resources supports multi-disciplinary master degrees in science and engineering, and specialist modules in first degrees. Practising scientists and engineers who have not had a comprehensive training in renewable energy will find it a useful introductory text and a reference book. EBL201912 Engineering SzGeCERN BOOK Weir, Tony https://cds.cern.ch/auth.py?r=EBLIB_P_1924458 ebook n 201951 21 PUBLIC https://catalogue.library.cern/legacy/2704733 BOOK MIGRATED 2704112 SzGeCERN 20210422083127.0 9783030321574 electronic version electronic version print version 9783030321567 print version 9783030321581 print version 9783030321598 DOI 10.1007/978-3-030-32157-4 e-proceedings oai:cds.cern.ch:2704112 cerncds:CONF eng QA402-402.37 T57.6-57.97 519.6 23 20181011 Advances in Energy System Optimization : Proceedings of the 2nd International Symposium on Energy System Optimization Karlsruhe, Germany 10 - 11 Oct 2018 2018 karlsruhe20181010 2 DE ISESO 2018 20181010 Cham Springer 2020 ebook Trends in mathematics 2297-0215 Part I Optimal Power Flow -- Feasibility vs. Optimality in Distributed AC OPF: A Case Study Considering ADMM and ALADIN -- Security Analysis of Embedded HVDC in Transmission Grids -- Multi-area Coordination of Security-Constrained Dynamic Optimal Power Flow in AC-DC Grids with Energy Storage -- A Domain Decomposition Approach to Solve Dynamic Optimal Power Flow Problems in Parallel -- Part II Energy System Integration -- Optimal Control of Compressor Stations in a Coupled Gas-to-Power Network -- Utilising Distributed Flexibilities in the European Transmission Grid -- Part III Managing Demand Response -- A Discussion of Mixed Integer Linear Programming Models of Thermostatic Loads in Demand Response -- Weighted Fair Queuing as a Scheduling Algorithm for Deferrable Loads in Smart Grids -- Part IV Planning and Operation of Distribution Grids -- Cost Optimal Design of Zero Emission Neighborhoods’ (ZENs) Energy System -- Efficient Operation of Modular Grid-Connected Battery Inverters for RES Integration. p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 10.0px Times} p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 12.0px Times} span.s1 {letter-spacing: 0.0px}. The papers presented in this open access book address diverse challenges in decarbonizing energy systems, ranging from operational to investment planning problems, from market economics to technical and environmental considerations, from distribution grids to transmission grids, and from theoretical considerations to data provision concerns and applied case studies. While most papers have a clear methodological focus, they address policy-relevant questions at the same time. The target audience therefore includes academics and experts in industry as well as policy makers, who are interested in state-of-the-art quantitative modelling of policy relevant problems in energy systems. The 2nd International Symposium on Energy System Optimization (ISESO 2018) was held at the Karlsruhe Institute of Technology (KIT) under the symposium theme “Bridging the Gap Between Mathematical Modelling and Policy Support” on October 10th and 11th 2018. ISESO 2018 was organized by the KIT, the Heidelberg Institute for Theoretical Studies (HITS), the Heidelberg University, the German Aerospace Center and the University of Stuttgart. Mathematics and statistics SPR201912 SzGeCERN Mathematical Physics and Mathematics SPR Management science SPR Operations Research, Management Science CONFERENCE PROCEEDINGS Bertsch, Valentin ed. Ardone, Armin ed. Suriyah, Michael ed. Fichtner, Wolf ed. Leibfried, Thomas ed. Heuveline, Vincent ed. ISESO 2018 Acronym SPR n 201950 201912 42 PUBLIC https://catalogue.library.cern/legacy/2704112 PROCEEDINGS MIGRATED 2704111 SzGeCERN 20210422083128.0 9783030319700 electronic version electronic version 9783030319694 print version 9783030319717 print version 9783030319724 print version DOI 10.1007/978-3-030-31970-0 e-proceedings oai:cds.cern.ch:2704111 cerncds:CONF eng QC801-809 23 550 20190604 5th International Conference Trigger Effects in Geosystems Moscow, Russia 4 - 7 Jun 2019 2019 moscow20190604 5 RU 20190607 Cham Springer 2019 ebook Springer proceedings in earth and environmental sciences 2524-342X Trigger effects in geospheres. Cause, monitoring and forecasting -- Earthquake triggering. -- Laboratory and numerical modeling -- Structure and properties of fault zones -- Different regimes of fault sliding -- Links to seismicity -- Dynamic processes in mining and oil-gas recovery -- Geophysical fields -- Active impacts on the ionosphere and the magnetosphere -- Electrical and optical transient events in the atmosphere -- The ionospheric response to catastrophic events. This book is the result of collaboration within the frames of the 5th International Conference "Trigger Effects in Geosystems" held in the Institute of Geosphere Dynamics of Russian Academy of Sciences, June 2019. This book aims to raise awareness about different triggering aspects in the geosphere and its effects. The conference provided a multidisciplinary platform with a focus on (i) the influence of natural and anthropogenic factors on the geosphere, geomechanical systems and anthropogenic objects found in a subcritical state and (ii) the influence of these factors on the system “atmosphere - ionosphere”. The problems considered in the book may be interesting for a wide audience including students, professionals, researches, and for the industry. Physics and astronomy SPR201912 SzGeCERN Other Fields of Physics SPR Geophysics SPR Structural geology SPR Natural disasters SPR Atmospheric sciences SPR Environmental monitoring SPR Geophysics and Environmental Physics SPR GeophysicsGeodesy SPR Structural Geology SPR Natural Hazards SPR Atmospheric Sciences SPR MonitoringEnvironmental Analysis CONFERENCE PROCEEDINGS Kocharyan, Gevorg ed. Lyakhov, Andrey ed. Geospheres Dynamics of Russian Academy of Sciences 201912 SPR n 201950 42 PUBLIC https://catalogue.library.cern/legacy/2704111 PROCEEDINGS MIGRATED 2704086 SzGeCERN 20210421201433.0 9783030274078 electronic version electronic version print version 9783030274061 print version 9783030274085 print version 9783030274092 DOI 10.1007/978-3-030-27407-8 ebook oai:cds.cern.ch:2704086 cerncds:BOOK eng QA431 515.625 23 515.75 23 Differential and integral inequalities Cham Springer 2019 ebook Springer optimization and its applications 1931-6828 151 Convexity variants and Fejer inequalities with general weight -- Error estimates of approximations for the complex valued integral transforms (Abramovich) -- Some New Methods for Generating Convex Functions (Aglić Aljinović) -- Convexity Revisited: Methods, Results, and Applications (Andrica) -- Harmonic exponential convex functions and inequalities (Uzair Awan) -- On the Hardy-Sobolev inequalities (Cotsiolis) -- Two points taylor’s type representations with integral remainders (Dragomir) -- Some weighted inequalities for Riemann-Stieltjes integral when a function is bounded (Dragomir) -- Cauchy-Schwarz inequality and Riccati equation for positive semide nite matrices (Fujii) -- "Inequalities for Solutions of Linear Differential Equations in a Banach Space and Integro-Differential Equations" (Gil) -- Best Constants for Poincar´e-Type Inequalities in Wn1 (0;1) (Guessab) -- Best Constants for Weighted Poincar´e-Type Inequalities (Guessab) -- Operator inequalities involvedWiener-Hopf problems in the open unit disk (Ibrahim) -- Some new Hermite-Hadamard type integral inequalities via Caputo k-fractional derivatives and their applications (Kashuri) -- Some new Hermite-Hadamard type integral inequalities for twice differentiable mappings and their applications (Kashuri) -- Inequalities in Statistics and Information Measures (Kitsos) -- Multiple Hardy-Littlewood Integral Operator Norm Inequalities (Jichang) -- Norm Inequalities for Generalized Fractional Integral Operators (Jichang) -- Application of Davies-Petersen Lemma (Kumar) -- Double-sided Taylor’s approximations and their applications in Theory of analytic inequalities (Maleševi´c) -- The Levin-Steˇckin Inequality and Simple Quadrature Rules (Mercer) -- (p;q)-Laplacian equations with convection term and an intrinsic operator (Motreanu) -- Iterative methods for variational inequalities (Aslam Noor) -- Recent developments of Lyapunov-type inequalities for fractional differential equations (Ntouyas) -- Hypersingular Integrals in Integral Equations and Inequalities: Fundamental Review Study (Obaiys) -- Exact bounds on the zeros of solutions of second-order differential inequalities (Pinelis) -- Variational methods for emerging real-life and environmental conservation problems (Scrimali) -- Meir-Keeler sequential contractions and applications ( Turinici) -- An Extended Multidimensional Half-Discrete Hardy-Hilbert-Type Inequality with a General Homogeneous Kernel (Yang). Theories, methods and problems in approximation theory and analytic inequalities with a focus on differential and integral inequalities are analyzed in this book. Fundamental and recent developments are presented on the inequalities of Abel, Agarwal, Beckenbach, Bessel, Cauchy–Hadamard, Chebychev, Markov, Euler’s constant, Grothendieck, Hilbert, Hardy, Carleman, Landau–Kolmogorov, Carlson, Bernstein–Mordell, Gronwall, Wirtinger, as well as inequalities of functions with their integrals and derivatives. Each inequality is discussed with proven results, examples and various applications. Graduate students and advanced research scientists in mathematical analysis will find this reference essential to their understanding of differential and integral inequalities. Engineers, economists, and physicists will find the highly applicable inequalities practical and useful to their research. Mathematics and statistics SPR201912 SzGeCERN Mathematical Physics and Mathematics SPR Difference equations SPR Functional equations SPR Approximation theory SPR Functions of real variables SPR Harmonic analysis SPR Functions of complex variables SPR Convex geometry  SPR Discrete geometry SPR Difference and Functional Equations SPR Approximations and Expansions SPR Real Functions SPR Abstract Harmonic Analysis SPR Functions of a Complex Variable SPR Convex and Discrete Geometry BOOK Andrica, Dorin ed. Rassias, Themistocles ed. SPR n 201950 201912 21 PUBLIC https://catalogue.library.cern/legacy/2704086 BOOK MIGRATED 2704074 SzGeCERN 20210421201438.0 9783030304102 electronic version electronic version print version 9783030304096 print version 9783030304119 DOI 10.1007/978-3-030-30410-2 ebook oai:cds.cern.ch:2704074 cerncds:BOOK eng QA276-280 519.5 23 Dodds, Walter The world's worst problems Cham Springer 2019 ebook Chapter1. Introduction -- Chapter2. Global problems -- Chapter3. Apocalypse -- Chapter4. Disease Now and Potential Future Pandemics -- Chapter5. Hunger -- Chapter6. Nuclear Weapons -- Chapter7. Global environment in the Anthropocene -- Chapter8. By the Numbers: Ranking the Problems -- Chapter9. What do other people think the worst problems in the world are? -- Chapter 10. Progress toward solving the problems and potential costs of solutions -- Chapter11. Technochimp: An African savannah survivor looking for solutions in the modern world Our inability to see the big picture; it never mattered before, why does it now? -- Chapter12. International cooperation -- Chapter13. Consilience, global socioeconomic political enlightenment, and socioenvironmental restoration. This book addresses the worst problems currently facing humanity and those that may pose future threats. The problems are explained and approached through a scientific lens, and categorized based on data involving global mortality, vulnerability, and threat level. The book presents indices of problem severity to compare relative intensity of current and potential crises. The approach avoids emotional argument using mainly empirical evidence to support the classification of relative problem severity. The author discusses multiple global problems and ranks them. He also explores specific solutions to each problem, links problems to human behavior from a social science perspective, considers international cooperation, and finally pathways to solutions. The book discusses confirmation bias and why this necessitates a scientific approach to tackle problems. The moral assumption that each person has the same rights to life and minimal suffering, and that the natural world has a right to exist, forms the basis of ranking problems based on death, suffering, and harm to the natural world. A focus is given to potential disasters such as asteroid collisions and super-volcanic eruptions, which are then presented in chapters that address specific contemporary global issues including disease, hunger, nuclear weapons and climate change. Furthermore the author then ranks the problems based on an index of problem severity, considering what other people think the worst problems are. The relative economic costs to solve each of these problems, individual behavior in the face of these problems, how people could work together internationally to combat them, and a general pathway toward solutions form the basis of the final chapters. This work will appeal to a wide range of readers, students considering how they can help the world, and scientists and policy makers interested in global problem solving. Mathematics and statistics SPR201912 SzGeCERN Mathematical Physics and Mathematics SPR Geoecology SPR Environmental geology SPR Infectious diseases SPR Natural resources SPR Economic development SPR Culture SPR GeoecologyNatural Processes SPR Infectious Diseases SPR Natural Resource and Energy Economics SPR Development and Health SPR Sociology of Culture BOOK SPR n 201950 201912 21 PUBLIC https://catalogue.library.cern/legacy/2704074 BOOK MIGRATED 2704048 SzGeCERN 20210421201444.0 9783030273675 electronic version electronic version print version 9783030273668 print version 9783030273682 print version 9783030273699 DOI 10.1007/978-3-030-27367-5 ebook oai:cds.cern.ch:2704048 cerncds:BOOK eng QC801-809 550 23 Levees and dams advances in geophysical monitoring and characterization Cham Springer 2019 ebook Geophysical Survey at Martis Dam Creek, USA -- Geophysical Survey at Big Nance Dam, USA -- Geophysical Imaging of dams and levees in NE USA -- Integrated geophysical methods for levee safety assessment in Japan- Past, rpesent and future -- Levee safety program in the US -- Soil-type estimation using an integrated geophysical Approach in New Orleans Levees -- 3D Electrical Resistivity Tomography applied to levees and dams, Italy -- Geophysical evaluation of US levees for recertificatio -- AIRBORNE Em surveying of levees -- Heterogeneity detection in Japanese levees using combined geophysical methods -- Instrumentation of levees for automated piping detection, Netherlands -- Geophysics and Engineering cooperation. This book aims to inform policy-makers, engineers and earth scientists about the current and emerging role of geophysics in addressing environmental processes, assessments, and policy directions related to new and existing dams and levees. Until now geophysics has concentrated on characterization and remediation of dams and levees, but now the field is changing our understanding on the influence of natural processes (e.g., floods, dissolution) and human activities in the design, and management of these structures. This monograph includes the following advances and case studies: · New insights from small and mid-sized laboratory experiments · Integrated methods electromagnetic, seismic, potential methods · Inverse modeling approaches · Statistical considerations · Monitoring of processes attending aging structures · Hazard monitoring · Risk Analysis. Physics and astronomy SPR201912 SzGeCERN Engineering SPR Geotechnical engineering SPR Hydrogeology SPR Public policy SPR Geotechnical Engineering & Applied Earth Sciences SPR Public Policy BOOK Lorenzo, Juan ed. Doll, William ed. SPR n 201950 201912 21 PUBLIC https://catalogue.library.cern/legacy/2704048 BOOK MIGRATED 2704047 SzGeCERN 20210421201444.0 9783030051891 electronic version electronic version print version 9783030051884 print version 9783030051907 DOI 10.1007/978-3-030-05189-1 ebook oai:cds.cern.ch:2704047 cerncds:BOOK eng QC717.6-718.8 530.44 23 Plasma catalysis fundamentals and applications Cham Springer 2019 ebook Springer series on atomic, optical, and plasma physics 1615-5653 106 Preface -- 1. Plasma-catalysis: Introduction and History -- 2. Plasma-catalysis systems -- 3. Plasma-catalyst interactions -- 4. Plasma-catalysis modeling -- 5. Plasma catalytic removal of NOX -- 6: Plasma catalytic removal of VOCs -- Plasma catalytic decomposition of NH3 -- 8 Plasma catalytic conversion of methane -- 9 Plasma catalytic conversion of carbon dioxide -- 10 Plasma catalytic conversion of alcohol -- 11 Plasma catalysis challenges and future perspectives. This book provides a comprehensive overview of the field of plasma catalysis, regarded as a promising alternative to thermal processes for energy and environmental applications. It bridges the gap between the plasma and catalysis research communities, covering both the fundamentals of plasma catalysis and its application in environmental and energy research. The first section of the book offers a broad introduction to plasma catalysis, covering plasma-catalyst systems, interactions, and modeling. The core of the book then focuses on different applications, describing a wide range of plasma-catalytic processes in catalyst synthesis, environmental clean-up, greenhouse gas conversion and synthesis of materials for energy applications. Chapters cover topics ranging from removal of NOx and VOCs to conversion of methane, carbon dioxide and the reforming of ethanol and methanol. Written by a group of world-leading researchers active in the field, the book forms a valuable resource for scientists, engineers and students with different research backgrounds including plasma physics, plasma chemistry, catalysis, energy, environmental engineering, electrical engineering and material engineering. Physics and astronomy SPR201912 SzGeCERN Other Fields of Physics SPR Plasma (Ionized gases) SPR Catalysis SPR Renewable energy resources SPR Environmental engineering SPR Biotechnology SPR Plasma Physics SPR Renewable and Green Energy SPR Environmental EngineeringBiotechnology BOOK Tu, Xin ed. Whitehead, J ed. Nozaki, Tomohiro ed. SPR n 201950 201912 21 PUBLIC https://catalogue.library.cern/legacy/2704047 BOOK MIGRATED 2703926 SzGeCERN 20210421201447.0 9783030308810 electronic version electronic version print version 9783030308803 print version 9783030308827 DOI 10.1007/978-3-030-30881-0 ebook oai:cds.cern.ch:2703926 cerncds:BOOK eng T-TX 600 23 Sivolella, Davide Space mining and manufacturing off-world resources and revolutionary engineering techniques Cham Springer 2019 ebook Space exploration 1. Space Exploration: What For? -- 2. Extraterrestrial Resources and Where to Find Them -- 3. Off-World Mining -- 4. Processing of Space Resources -- 5. The Art of Manufacturing in Space -- 6. Building Factories in Space -- 7. Making it Happen -- 8. For the Benefit of Humankind -- About the Author -- Index. This book produces convincing evidence that exploiting the potential of space could help solve many environmental and social issues affecting our planet, such as pollution, overcrowding, resource depletion and conflicts, economic inequality, social unrest, economic instability and unemployment. It also touches on the legal problems that will be encountered with the implementation of the new technologies and new laws that will need to be enacted and new organizations that will need to be formed to deal with these changes. This proposition for a space economy is not science fiction, but well within the remit of current or under development technologies. Numerous technologies are described and put together to form a coherent and feasible road map that, if implemented, could lead humankind towards a brighter future. . Physics and astronomy SPR201912 SzGeCERN Astrophysics and Astronomy SPR Technology SPR Law of the sea SPR International law SPR Technology—Sociological aspects SPR Popular Science in Technology SPR Law of the Sea, Air and Outer Space SPR Science and Technology Studies BOOK SPR n 201950 201912 21 PUBLIC https://catalogue.library.cern/legacy/2703926 BOOK MIGRATED 2703912 SzGeCERN 20210421201454.0 9783030319151 electronic version electronic version print version 9783030319144 print version 9783030319168 print version 9783030319175 DOI 10.1007/978-3-030-31915-1 ebook oai:cds.cern.ch:2703912 cerncds:BOOK eng QA276-280 330.015195 23 Hutwelker, Reiner Six Sigma green belt certification project identification, implementation and evaluation Cham Springer 2019 ebook Management for professionals 2192-8096 Certification Path, Projects and Course Concept -- Six Sigma Introduction -- sigmaGuide -- DEFINE - Part 1 & 2 -- Project-Story-Book -- DEFINE - Part 3 -- MEASURE -- ANALYSE -- IMPROVE -- Control -- Project Completion -- Six Sigma Project Guideline -- Lean and Six Sigma - Partners for Quality -- Tips for Six Sigma Sponsors to Support Projects and the Program -- Notes for Six Sigma Experts on the Concept of this Course -- Answers and Questions. This book helps professionals to turn their own Six Sigma projects into reality. Using a sample project, the book guides readers through all aspects of Six Sigma, from identifying and defining a suitable project topic, to sustainably managing its success in the control phase. By demonstrating all the necessary steps supported by a DMAIC software guide, it makes the application of the sequentially linked DMAIC tools easy to understand and directly transferable to typical Six Sigma business projects. Further, each chapter provides numerous questions and answers, tasks and the framework for an environmental standard project. This book is an essential part of the author’s teaching material on the topic, which also includes the software ‘sigmaGuide’, a template for project documentation and several hours of video content featuring course materials on edX Learning Community. Mathematics and statistics SPR201912 SzGeCERN Mathematical Physics and Mathematics SPR Statistics  SPR Management information systems SPR Industrial management SPR Manufactures SPR Project management SPR Quality control SPR Reliability SPR Industrial safety SPR Statistics for Business, Management, Economics, Finance, Insurance SPR Business Process Management SPR Manufacturing, Machines, Tools, Processes SPR Project Management SPR Quality Control, Reliability, Safety and Risk BOOK SPR n 201950 201912 21 PUBLIC https://catalogue.library.cern/legacy/2703912 BOOK MIGRATED 2707687 SzGeCERN 20210421201051.0 9780128158838 electronic version electronic version 9780128158821 print version oai:cds.cern.ch:2707687 cerncds:BOOK EBL 5983421 eng R857.N34 .A383 2020 610.284 Baia, Lucian Advanced nanostructures for environmental health San Diego, CA Elsevier 2019 584 p ebook Micro & nano technologies series EBL202001 Health Physics and Radiation Effects SzGeCERN BOOK Baia, Monica Pap, Zsolt Hernadi, Klara https://cds.cern.ch/auth.py?r=EBLIB_P_5983421 ebook n 202004 202001 21 PUBLIC https://catalogue.library.cern/legacy/2707687 BOOK MIGRATED 2707651 SzGeCERN 20200503232051.0 9780429552670 electronic version electronic version EBL 5981995 eng G70.4 .G465 2020 621.3678 Gemitzi, Alexandra Advanced environmental monitoring with remote sensing time series data and R Milton CRC Press 2019 115 p Koutsias, Nikolaos Lakshmi, Venkat 9780367205270 print version oai:cds.cern.ch:2707651 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5981995 ebook ebook EBL Remote sensing EBL Time-series analysis EBL202001 Engineering SzGeCERN BOOK n 202004 202001 21 PUBLIC BOOK DELETED 2707606 SzGeCERN 20210421201058.0 9780128158043 electronic version electronic version 9780128157466 print version oai:cds.cern.ch:2707606 cerncds:BOOK EBL 5980001 eng QA76.9.B45 .K757 2020 005.7 Krishnan, Krish Building big data applications San Diego, CA Elsevier Science & Technology 2019 244 p ebook Front Cover -- Building Big Data Applications -- Building Big Data Applications -- Copyright -- Dedication -- Contents -- Preface -- 1 - Big Data introduction -- Big Data delivers business value -- Healthcare example -- Data-rich and information-poor -- Big Data and healthcare -- Potential solutions -- Building Big Data applications -- Big Data applications-processing data -- Critical factors for success -- Risks and pitfalls -- Additional reading -- 2 - Infrastructure and technology -- Introduction -- Distributed data processing -- Big data processing requirements -- Technologies for big data processing -- MapReduce -- MapReduce programming model -- MapReduce Google architecture -- Hadoop -- History -- Hadoop core components -- HDFS -- HDFS architecture -- NameNode -- DataNode -- Image -- Journal -- Checkpoint -- HDFS startup -- Block allocation and storage -- HDFS client -- Replication and recovery -- NameNode and DataNode-communication and management -- Heartbeats -- CheckPointNode and BackupNode -- CheckPointNode -- BackupNode -- Filesystem snapshots -- MapReduce -- YARN-yet another resource negotiator -- YARN scalability -- YARN execution flow -- Comparison between MapReduce v1 and v2 -- SQL/MapReduce -- Zookeeper -- Zookeeper features -- Locks and processing -- Failure and recovery -- Pig -- Programming with Pig Latin -- Pig data types -- Running Pig programs -- Pig program flow -- Common Pig command -- HBASE -- HBASE architecture -- HBASE architecture implementation -- Hive -- Hive architecture -- Infrastructure -- Execution-how does Hive process queries? -- Hive data types -- Hive query language (HiveQL) -- Hive examples -- Chukwa -- Flume -- Oozie -- HCatalog -- Sqoop -- NoSQL -- CAP theorem -- Key-value pair-Voldemort -- Cassandra -- Data model -- A keyspace has configurable properties that are critical to understand. Data partitioning -- Data sorting -- Consistency management -- Write consistency -- Read consistency -- Specifying client consistency levels -- Built-in consistency repair features -- Cassandra ring architecture -- Data placement -- Data partitioning -- Peer to peer-simple scalability -- Gossip protocol-node management -- Basho Riak -- The design features of document-oriented databases include the following: -- Graph databases -- Additional reading -- 3 - Building big data applications -- Data storyboard -- 4 - Scientific research applications and usage -- Accelerators -- Big data platform and application -- XRootD filesystem interface project -- Service for web-based analysis (SWAN) -- The result-Higgs Boson discovery -- 5 - Pharmacy industry applications and usage -- The complexity design for data applications -- Complexities in transformation of data -- Google deep mind -- Case study -- Additional reading -- 6 - Visualization, storyboarding and applications -- Let us look at some of the use cases of big data applications -- Visualization -- The evolving role of the data scientist -- 7 - Banking industry applications and usage -- The coming of age with uber banking -- Business challenges facing banks today -- Positively impacting the banking experience requires data, which is available and we need to orchestrate models of usage an ... -- The customer journey and the continuum -- Create modern data applications -- The use cases of analytics and big data applications in banking today -- Fraud and compliance tracking -- Client chatbots for call center -- Antimoney laundering detection -- Algorithmic trading -- Recommendation engines -- Predicting customer churn -- Additional reading -- 8 - Travel and tourism industry applications and usage -- Travel and big data -- Real-time conversion optimization -- Optimized disruption management. Niche targeting and unique selling propositions -- "Smart" social media listening and sentiment analysis -- Hospitality industry and big data -- Analytics and travel industry -- Examples of the use of predictive analytics -- Develop applications using data and agile API -- Additional reading -- 9 - Governance -- Definition -- Metadata and master data -- Master data -- Data management in big data infrastructure -- Processing complexity of big data -- Processing limitations -- Governance model for building an application -- Use cases of governance -- Machine learning -- Additional reading -- 10 - Building the big data application -- Risk assessment questions -- Information security policy -- Information security infrastructure -- Security of third-party access -- Asset classification and control -- Information classification -- Security in job definition and resourcing -- User training -- Responding to security/threat incidents -- Physical and environmental security -- Communications and operations management -- Media handling and security -- Exchange of information and software -- Business requirements for access control -- Mobile computing and telecommuting -- Business continuity management -- Aspects of business continuity management -- Additional reading -- 11 - Data discovery and connectivity -- Challenges before you start with AI -- Strategies you can follow to start with AI -- Compliance and regulations -- Use cases from industry vendors -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X -- Y -- Back Cover. EBL202001 Computing and Computers SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5980001 ebook n 202004 202001 21 PUBLIC https://catalogue.library.cern/legacy/2707606 BOOK MIGRATED 2707605 SzGeCERN 20210421201058.0 9780128173930 electronic version electronic version 9780128173923 print version oai:cds.cern.ch:2707605 cerncds:BOOK EBL 5980000 eng QA274 .V465 2020 519.2 Venkateswarlu, Ch Stochastic global optimization methods and applications to chemical, biochemical, pharmaceutical and environmental processes San Diego, CA Elsevier 2019 312 p ebook Front Cover -- Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes -- Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processe ... -- Copyright -- Contents -- About the authors -- Preface -- 1 - Basic features and concepts of optimization -- 1.1 Introduction -- 1.2 Basic features -- 1.2.1 Optimization and its benefits -- 1.2.2 Scope for optimization -- 1.2.3 Illustrative examples -- 1.2.4 Essential requisites for optimization -- 1.3 Basic concepts -- 1.3.1 Functions in optimization -- 1.3.2 Interpretation of behavior of functions -- 1.3.3 Maxima and minima of functions -- 1.3.4 Region of search for constrained optimization -- 1.4 Classification and general procedure -- 1.4.1 Classification of optimization problems -- 1.4.2 General procedure of solving optimization problems -- 1.4.3 Bottlenecks in optimization -- 1.5 Summary -- References -- 2 - Classical analytical methods of optimization -- 2.1 Introduction -- 2.2 Statement of optimization problem -- 2.3 Analytical methods for unconstrained single-variable functions -- 2.3.1 Necessary and sufficient conditions -- 2.3.2 Sufficient conditions for convexity and concavity of a function -- 2.4 Analytical methods for unconstrained multivariable functions -- 2.4.1 Necessary and sufficient conditions -- 2.4.2 Two-variable function -- 2.4.3 Multivariable function -- 2.5 Analytical methods for multivariable optimization problems with equality constraints -- 2.5.1 Direct substitution -- 2.5.2 Penalty function approach -- 2.5.3 Method of Lagrange multipliers -- 2.5.3.1 Necessary condition for a basic problem -- 2.5.3.2 Necessary condition for a general problem -- 2.5.3.3 Sufficient conditions for a general problem. 2.6 Analytical methods for solving multivariable optimization problems with inequality constraints -- 2.6.1 Kuhn-Tucker conditions for problems with inequality constraints -- 2.6.2 Kuhn-Tucker conditions for problems with inequality and equality constraints -- 2.7 Limitations of classical optimization methods -- 2.8 Summary -- References -- 3 - Numerical search methods for unconstrained optimization problems -- 3.1 Introduction -- 3.2 Classification of numerical search methods -- 3.2.1 Direct search methods -- 3.2.2 Gradient search methods -- 3.3 One-dimensional gradient search methods -- 3.3.1 Newton's method -- 3.3.2 Quasi-Newton method -- 3.3.3 Secant method -- 3.4 Polynomial approximation methods -- 3.4.1 Quadratic interpolation method -- 3.4.2 Cubic interpolation method -- 3.5 Multivariable direct search methods -- 3.5.1 Univariate search method -- 3.5.2 Hooke-Jeeves pattern search method -- 3.5.2.1 Exploratory move -- 3.5.2.2 Pattern move -- 3.5.3 Powell's conjugate direction method -- 3.5.4 Nelder-Mead simplex method -- 3.6 Multivariable gradient search methods -- 3.6.1 Steepest descent method -- 3.6.2 Multivariable Newton's method -- 3.6.3 Conjugate gradient method -- 3.7 Summary -- References -- 4 - Stochastic and evolutionary optimization algorithms -- 4.1 Introduction -- 4.2 Genetic algorithms -- 4.2.1 Historical background -- 4.2.2 Basic principle -- 4.2.3 Genetic algorithm implementation procedure -- 4.2.4 Genetic algorithm pseudocode -- 4.2.5 Advantages and limitations of genetic algorithms -- 4.2.6 Applications of genetic algorithms -- 4.3 Simulated annealing -- 4.3.1 Historical background -- 4.3.2 Basic principle -- 4.3.3 Simulated annealing implementation procedure -- 4.3.4 Simulated annealing pseudocode -- 4.3.5 Advantages and limitations of simulated annealing -- 4.3.6 Applications of simulated annealing. 4.4 Differential evolution -- 4.4.1 Historical background -- 4.4.2 Basic principle -- 4.4.3 Differential evolution implementation procedure -- 4.4.4 Pseudocode for differential evolution -- 4.4.5 Advantages and limitations of differential evolution -- 4.4.6 Applications of differential evolution -- 4.5 Ant colony optimization -- 4.5.1 Historical background -- 4.5.2 Basic principle -- 4.5.3 Ant colony optimization implementation procedure -- 4.5.4 Pseudocode of ant colony optimization -- 4.5.5 Advantages and disadvantages ant colony optmization -- 4.5.6 Applications of ant colony simulation -- 4.6 Tabu search -- 4.6.1 Historical background -- 4.6.2 Basic principle -- 4.6.3 Tabu search implementation procedure -- 4.6.3.1 Neighbors generations and neighborhood search -- 4.6.3.2 Tabu list -- 4.6.3.3 Short-term memory and long-term memory -- 4.6.3.4 Intensification and Diversification -- 4.6.3.5 Aspiration criterion -- 4.6.3.6 Stopping criteria -- 4.6.4 Pseudocode of tabu search -- 4.6.5 Advantages and disadvantages of tabu search -- 4.6.6 Applications of tabu search -- 4.7 Particle swarm optimization -- 4.7.1 Historical background -- 4.7.2 Basic principle -- 4.7.3 Particle swarm optimization implementation procedure -- 4.7.4 Pseudocode for particle swarm optimization -- 4.7.5 Advantages and limitations of particle swarm optimization -- 4.7.6 Applications of particle swarm optimization -- 4.8 Artificial bee colony optimization -- 4.8.1 Historical background -- 4.8.2 Basic principle -- 4.8.3 Artificial bee colony algorithm implementation procedure -- 4.8.4 Pseudocode of artificial bee colony algorithm -- 4.8.5 Advantages and limitations of artificial bee colony algorithm -- 4.8.6 Applications of artificial bee colony algorithm -- 4.9 Cuckoo search algorithm -- 4.9.1 Historical background -- 4.9.2 Basic principle. 4.9.3 Cuckoo search implementation procedure -- 4.9.4 Pseudocode of cuckoo search algorithm -- 4.9.5 Advantages and limitations of cuckoo search algorithm -- 4.9.6 Applications of cuckoo search algorithm -- 4.10 Summary -- References -- 5 - Application of stochastic and evolutionary optimization algorithms to base case problems -- 5.1 Introduction -- 5.2 Examples of numerical functions -- 5.3 Application of genetic algorithm to base case problems -- 5.3.1 Genetic algorithm implementation strategy -- 5.3.2 Optimization results of genetic algorithm -- 5.4 Application of simulated annealing to base case problems -- 5.4.1 Simulated annealing implementation strategy -- 5.4.2 Optimization results of simulated annealing -- 5.5 Application of differential evolution to base case problems -- 5.5.1 Differential evolution implementation strategy -- 5.5.2 Optimization results of differential evolution -- 5.6 Application of ant colony optimization to base case problems -- 5.6.1 Ant colony optimization implementation strategy -- 5.6.2 Optimization results of ant colony optimization -- 5.7 Application of particle swarm optimization to base case problems -- 5.7.1 Particle swarm optimization implementation strategy -- 5.7.2 Optimization results of particle swarm optimization -- 5.8 Application of artificial bee colony algorithm to base case problems -- 5.8.1 Artificial bee colony implementation strategy -- 5.8.2 Optimization results of artificial bee colony optimization -- 5.9 Analysis of results -- 5.10 Summary -- References -- 6 - Application of stochastic evolutionary optimization techniques to chemical processes -- 6.1 Introduction -- 6.2 Process model-based multistage dynamic optimization of a copolymerization reactor using differential evolution -- 6.2.1 Optimal control and its importance in polymerization reactors -- 6.2.2 Optimal control problem. 6.2.3 Multistage dynamic optimization strategy -- 6.2.4 The polymerization process and its mathematical representation -- 6.2.5 Control objectives -- 6.2.6 Multistage dynamic optimization of SAN copolymerization process using DE -- 6.2.7 Analysis of results -- 6.3 Process model-based multistage dynamic optimization of a copolymerization reactor using tabu search -- 6.3.1 Preliminaries -- 6.3.2 Multistage dynamic optimization of SAN copolymerization process using tabu search -- 6.3.3 Analysis of results -- 6.4 Optimization of multiloop proportional-integral controller parameters of a reactive distillation column using genetic algorithm -- 6.4.1 The need of evolutionary algorithm for optimization of multiloop controller parameters -- 6.4.2 The process and its characteristics -- 6.4.3 Controller design using genetic algorithms -- 6.4.3.1 Compositions estimation -- 6.4.3.2 Multiloop proportional-integral controllers -- 6.4.3.3 Formulation of objective function -- 6.4.3.4 Desired response specifications for controller tuning -- 6.4.3.5 Optimal tuning of controller parameters -- 6.4.4 Analysis of results -- 6.5 Stochastic optimization-based nonlinear model predictive control of reactive distillation column -- 6.5.1 The need for stochastic optimization methods in design of nonlinear control strategies -- 6.5.2 Nonlinear empirical model, predictive model, and objective function -- 6.5.2.1 Polynomial ARMA model -- 6.5.2.2 Predictive model formulation -- 6.5.2.3 Objective function formulation -- 6.5.3 The process representation -- 6.5.4 Stochastic optimization methods for computation of optimal control policies in NMPC -- 6.5.4.1 Optimal control policy computation using genetic algorithm -- 6.5.4.1.1 Implementation procedure -- 6.5.4.2 Optimal control policy computation using SA -- 6.5.4.2.1 Implementation procedure -- 6.5.5 Analysis of results -- 6.6 Summary. References. EBL202001 Mathematical Physics and Mathematics SzGeCERN BOOK Eswari, Jujjavarapu Satya https://cds.cern.ch/auth.py?r=EBLIB_P_5980000 ebook n 202004 202001 21 PUBLIC https://catalogue.library.cern/legacy/2707605 BOOK MIGRATED 2707568 SzGeCERN 20210421201102.0 9780128168912 electronic version electronic version 9780128167700 print version oai:cds.cern.ch:2707568 cerncds:BOOK EBL 5977189 eng R857.M3 .S637 2020 610.28 Nguyen-Tri, Phuong Nanocontainers state of the art San Diego, CA Elsevier 2019 566 p ebook Micro & nano technologies series Front Cover -- Smart Nanocontainers -- Copyright -- Contents -- Contributors -- Part I: Fundamentals -- Chapter 1: Nanocontainer: An introduction -- References -- Chapter 2: Advanced spectroscopic technique for the study of nanocontainers: atomic force microscopy-infrared spectroscop ... -- 1. Introduction -- 2. AFM-IR technology -- 2.1. Development of AFM-IR -- 2.2. Resonance-enhanced AFM-IR and tapping AFM-IR -- 2.3. Analysis of AFM-IR measurements -- 3. Applications of AFM-IR for the study of nanocontainers -- 4. Conclusion -- References -- Chapter 3: Methods for synthesis of nanocontainers -- 1. Introduction -- 2. Layer-by-layer technique -- 3. Self-assembly -- 4. Emulsion-based synthetic processes -- 4.1. Miniemulsion polymerization -- 4.2. Microemulsion -- 4.3. Microemulsion mediated synthesis of silica-based nanomaterials -- 5. The precipitation-based synthetic methods -- 6. Ultrasonic techniques -- 7. Convergent and divergent approach -- References -- Chapter 4: Nanoscale characterization of nanocarriers -- 1. Introduction -- 2. Nanoscale characterization -- 2.1. Physical characterization -- 2.1.1. Particle size -- 2.1.2. Surface charge -- 2.1.3. Drug release -- 2.1.4. Stability -- 2.2. Chemical characterization -- 2.2.1. Chemical composition -- 2.2.2. Surface chemistry -- 2.3. Biological evaluation -- 2.3.1. In vitro -- 2.3.1.1. Pyrogenicity -- 2.3.1.2. Hemocompatibility test -- 2.3.1.2.1. Hemolysis -- 2.3.1.2.2. Thrombogenicity -- 2.3.1.2.3. Complement activation system -- 2.3.1.3. Protein adsorption -- 2.3.1.4. Cell based evaluation -- 2.3.1.4.1. 2D cell culture -- 2.3.1.4.2. 3D cell culture -- 2.3.2. In vivo evaluation -- 2.3.2.1. Tumor model -- 3. Challenges and future perspectives -- 4. Regulatory concerns for nanoscale characterization -- 5. Environmental risk and its considerations -- 6. Concluding remarks -- References. Chapter 5: Mechanism of loading and release in nanocontainers -- 1. Introduction -- 2. Encapsulation and entrapment mechanism -- 2.1. Chemical loading/entrapment mechanism -- 2.2. Physical entrapment -- 2.2.1. Hydrogen-bonding -- 2.2.2. Electrostatic interaction -- 2.2.3. Hydrophobic interaction -- 2.2.4. Vander Waals interaction -- 3. Mechanisms of active compound release -- 3.1. Delayed release -- 3.2. Sustained release -- 3.3. Controlled release -- 3.3.1. Diffused controlled release -- 3.3.2. Solvent-controlled release -- 3.4. Extended release -- 3.5. Exact places targeting release -- 4. Conclusion -- References -- Further reading -- Chapter 6: Mathematical modeling and simulation -- 1. Introduction -- 2. Modeling and simulation methods -- 3. Excerpted researches in modeling and simulation of smart nanocontainers -- 4. Outlook -- References -- Further reading -- Part II: Application in food products -- Chapter 7: Nanocontainers for food safety -- 1. Introduction -- 2. Polymeric nanocontainers -- 2.1. Metal/metal oxide loaded nanocontainers -- 2.1.1. Food safety applications -- 2.1.2. Determination of contaminants -- 2.2. Nanofiber as nanocontainer -- 2.2.1. Nanocontainers into nanofibers -- 2.2.2. Molecular complexes into nanofibers -- 2.2.3. Nanofibers based nanosensors -- 3. Inclusion of molecular complexes as nanocontainers -- 4. Lipid-based nanocontainer -- 5. Nanoemulsion as nanocarrier -- 6. Emerging applications of nanocontainers for food safety -- 7. Concluding remarks -- References -- Chapter 8: Nanocontainers for the encapsulation and delivery of antioxidants/nutrients to food -- 1. Introduction -- 2. Properties of nanocontainers -- 3. Properties of antioxidants -- 3.1. Curcumin -- 3.2. Resveratrol -- 3.3. Sesamin -- 3.4. Rosemary extract -- 3.5. Vitamin E -- 3.6. Tea polyphenols -- 4. Nanocontainer in antioxidation application. 4.1. Liposomes -- 4.2. Polymeric micelle -- 4.2.1. Carrier material of polymer micelle -- 4.2.2. Classification of polymer micelles -- 4.2.3. Formation principle of polymer micelle -- 4.2.4. Drug release mechanism of polymer -- 4.2.5. Application of polymer micelle as drug carrier -- 4.3. Nanoemulsions -- 4.4. Organic-inorganic hybrid smart nanoparticles -- 4.4.1. Solid lipid nanoparticles and nanostructured lipid carriers -- 4.4.2. Mesoporous silica nanoparticles and gold nanoparticles -- 4.5. Cell membrane-coated biomimetic exosomes -- 5. What are the obstacles for smart nanocontainers in nutrient and antioxidant applications? -- 6. Conclusion and prospective -- References -- Chapter 9: Nanocontainers in food preservation: Techniques and uses -- 1. Introduction -- 2. Definition nanocontainer in food industries -- 3. Classification of nanocontainers for food preservation -- 3.1. Polymers and lipid nanoparticles -- 3.2. Inorganic nanocontainers -- 3.3. Layer-by-layer nanocontainers -- 3.4. Amphiphilic self-assembled nanocontainers and dendrimers -- 4. Preparation methods of nanocontainers used in food preservation -- 4.1. Bottom-up techniques -- 4.2. Top-down techniques -- 5. Characterization of nanocontainers and toxicological aspects in food preservation -- 5.1. Microscopy -- 5.2. Dynamic light scattering and electrophoretic mobility -- 5.3. Raman spectroscopy and Fourier transform-infrared spectroscopy -- 5.4. X-ray methodology -- 5.5. Toxicological aspects of nanocontainers -- 6. Nanocontainers in food processing and preservation -- 6.1. Polymeric and lipid nanoparticles as containers of bioactive compounds and natural additives -- 6.2. Lipid container systems -- 6.2.1. Solid lipid nanoparticles loaded with active substances and their function in food preservation. 6.2.2. Nanostructured lipid carriers loaded with liquid lipid to control release in food preservation and nutrition -- 6.3. Nanofibers as systems for the release and the coating of food -- 6.4. Inorganic nanocontainers -- 6.5. Layer-by-layer and amphiphilic self-assembled nanocontainers -- 6.5.1. Layer-by-layer nanocontainers -- 6.5.2. Nanoliposomes -- 7. Conclusions and future trends -- References -- Part III: Application for drug delivery -- Chapter 10: Nanocarriers in drug delivery system: Eminence and confront -- 1. Introduction -- 1.1. Definition of nanomaterials -- 1.2. Importance of nanomaterials in drug design -- 1.3. Drug delivery system (DDS) and its significance -- 1.4. Relationship between pharmacokinetics and pharmacodynamic properties of nanocarriers in drug delivery -- 2. Recent trends of nanocarriers in drug delivery -- 2.1. Liposomes -- 2.2. Micellar nanocarriers -- 2.2.1. Niosomes -- 2.2.2. Nanoemulsions -- 2.2.3. Polymeric micelle (PM) -- 2.3. Polymeric nanoparticles (PNP) -- 2.4. Solid-lipid nanocarrier (SLN) -- 2.5. Nanostructured-lipid carrier (NLC) -- 2.6. Nanoscale organic-framework in DDS (NOF_DDS) -- 3. Basic techniques used for the characterization of nanocarriers -- 4. Conclusion and future directions -- References -- Further reading -- Chapter 11: Smart nanogels in cancer therapy -- 1. Introduction -- 2. Classification of hydrogels -- 2.1. Classification based on the crosslinking method -- 2.1.1. Radical polymerization -- 2.1.2. Chemical reaction of complementary groups -- 2.1.3. Ionic interactions -- 2.1.4. Crystallization -- 2.2. Classification based on the polymeric composition -- 2.2.1. Homopolymeric hydrogels -- 2.2.2. Copolymeric hydrogels -- 2.2.3. Interpenetrating networks -- 2.2.4. Semi-interpenetrating networks -- 3. Synthesis of nanogels -- 3.1. Precipitation polymerization -- 3.2. Emulsion polymerizations. 3.3. Antisolvent liquid precipitation -- 3.4. Spray drying/crosslinking -- 3.5. Miscellaneous methods -- 4. Stimuli-responsive nanogels -- 4.1. pH-responsive nanogels -- 4.2. Redox-responsive nanogels -- 4.3. Temperature-responsive nanogels -- 4.4. Enzyme-responsive nanogels -- 4.5. Dual and multiresponsive nanogels -- 5. Nanogels as targeted drug delivery vehicles -- 6. Conclusions and future perspectives -- References -- Chapter 12: Metal-based nanocontainers for drug delivery in tumor therapy -- 1. Introduction -- 2. Metal elementary substance-based nanoparticles -- 2.1. Noble metal elements -- 2.1.1. Gold nanoparticles -- 2.1.2. Silver nanoparticles -- 2.1.3. Palladium nanoparticles -- 2.1.4. Platinum nanoparticles -- 2.2. Transition metal elements -- 2.2.1. Iron element -- 2.2.2. Other transition metal nanoparticles -- 3. Metal alloy-based nanoparticles -- 3.1. Noble-noble metal alloy -- 3.2. Noble-transition metal alloy -- 4. Metal compound-based nanoparticles -- 4.1. Metal oxide -- 4.1.1. Iron-based metal oxide nanoparticles -- 4.1.2. Zinc-based metal oxide nanoparticles -- 4.2. Metal sulfide -- 4.2.1. Copper-based metal sulfide nanoparticles -- 4.2.2. Molybdenum-based metal sulfide nanoparticles -- 4.3. Other metal compounds -- 5. Metal-organic framework nanoparticles -- 5.1. Encapsulation of drugs -- 5.2. Conjugation of drugs -- 5.3. Drugs as linkers -- 5.4. Attachment of drugs -- 6. Conclusion and perspective -- References -- Chapter 13: Enzyme-responsive nanocontainer for small molecule delivery -- 1. Introduction -- 2. Smart nanocontainers -- 3. Enzyme-responsive nanocontainers -- 3.1. Oxidoreductase-responsive nanocontainers -- 3.2. Hydrolase-responsive nanocontainers -- 3.2.1. Lipase-responsive nanocontainers -- 3.2.2. Glycosidase-responsive nanocontainers -- 3.2.3. Esterase-responsive nanocontainers. 3.2.4. Protease-responsive nanocontainers: Future for drug delivery. EBL202001 Health Physics and Radiation Effects SzGeCERN BOOK Do, Trong-On Nguyen, Tuán Anh https://cds.cern.ch/auth.py?r=EBLIB_P_5977189 ebook n 202004 202001 21 PUBLIC https://catalogue.library.cern/legacy/2707568 BOOK MIGRATED 2707533 SzGeCERN 20200503232050.0 9780429523762 electronic version electronic version EBL 5975358 eng HB615 .A843 2020 658.408 Asgary, Nader H Entrepreneurship, innovation and sustainable growth opportunities and challenges Milton Routledge 2019 343 p Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of contents -- Figures -- Tables -- Preface -- About the authors -- Introduction -- Overview -- Aims and contributions -- Who should read this book? -- Introductory chapter -- Part I: The environment and entrepreneurship -- Part II: Individual characteristics and training -- Part III: The organization -- Part IV: Process -- A brief overview of each chapter -- Introductory chapter: entrepreneurial discovery, creationary, and business model development -- Part I: The environment and entrepreneurship -- Chapter 1: Entrepreneurship and development in the era of globalization -- Chapter 2: Cultural context, entrepreneurship, and development -- Chapter 3: Technology and communications -- Part II: Individual characteristics and training -- Chapter 4: Personality, experience, and training -- Chapter 5: Creativity, innovation, and development -- Part III: The organization -- Chapter 6: Institutions, governance, and strategy -- Chapter 7: Ethics and corporate social responsibility -- Part IV: Process -- Chapter 8: Marketing, technology, and entrepreneurship -- Chapter 9: Financing opportunities and challenges -- Chapter 10: Essentials of bookkeeping -- Note -- Part I The environment and entrepreneurship -- 1 Entrepreneurship and development in the era of globalization -- Learning objectives -- Introduction -- Defining entrepreneurship -- Defining economic development -- Major theories of economic development -- Rostow's theory -- The Harrod-Domar model -- Lewis structural change -- Chenery's patterns of development approach -- Dependency theory -- Neoclassical theory -- Definition and classification of countries -- Entrepreneurship in the developing countries -- Stage of economic development and entrepreneurial activity -- Entrepreneurial activity and economic development. Key factors of entrepreneurship and development -- Defining globalization -- Globalization and entrepreneurship -- Concluding remarks -- Discussion questions -- Case study - continued -- Notes -- 2 Cultural context, entrepreneurship, and development -- Learning objectives -- Introduction -- Culture definition -- Culture, entrepreneurship, and development -- Low power distance -- High masculinity -- Culture and innovation -- Country culture -- Power distance -- Individualism/collectivism -- Masculinity -- Uncertainty avoidance -- Culture demission and innovation -- Entrepreneurship, culture, and government -- Conclusions -- Discussion questions -- Case study -- Notes -- 3 Technology, communications, and entrepreneurship -- Learning objectives -- Introduction -- Transistor: the father of the digital age -- Entrepreneurship in developed and developing countries -- Information Technology (IT) -- Knowledge economy -- IT as resources -- Internet -- E-commerce -- Wireless/mobile technology -- Social media -- IT and its business valuation -- Technology and culture -- The role of technology for startups -- Technology and economic growth -- Concluding remarks -- Discussion questions -- Case study - continued -- Notes -- Part II Individual characteristics and training -- 4 Personality, experience, and training -- Learning objectives -- Introduction -- Definitions of entrepreneurship -- Classifications of entrepreneurs -- Personal characteristics -- Additional traits have also been added to this list -- Training for entrepreneurship -- Education, innovation, and creativity -- Experience -- Environmental infrastructure -- Economic factors -- Financial structure -- Social structure -- Culture -- Social connections -- Type of business most common to entrepreneurship -- Concluding remarks -- Discussion questions -- Case study - continued -- Notes. 5 Creativity, innovation, and development -- Learning objectives -- Introduction -- Definition of creativity -- Definition of innovation -- Disruptive innovation and ambidextrous organization -- Creativity and innovation -- Human Resources and innovation -- Developing countries: structured for stagnation -- 1. Deficiency of resources and infrastructure -- 2. An absence of demand -- 3. Inadequate financial capital -- 4. Lack of human capital -- 5. Weak legal systems -- Development and innovation -- Conclusion -- Discussion questions -- Case study - continued -- Notes -- Part III The organization -- 6 Institutions, governance, and strategy -- Learning objectives -- Introduction -- Institution definition -- Conditions for entrepreneurial success -- Governance definition -- Governance: a micro perspective -- Governance and entrepreneurship: a macro perspective -- Economic institution -- 3D printed hand at RiTS -- Governance: good and bad -- Globalization and governance -- Economic development and entrepreneurship -- Corporate governance and institutions in developing economies -- Strategy -- Conclusion -- Discussion questions -- Case study - continued -- Notes -- 7 Ethics and corporate social responsibility -- Learning objectives -- Introduction -- Theories of ethics and their business implications -- Ethics and business discipline -- Corporate social responsibility definition and implications -- Chevron CSR page34 -- CSR and entrepreneurship -- CSR and competitiveness -- Human Resources -- CSR and HRM -- CSR and strategy -- Applications of CSR: a few examples -- CSR and the bottom line -- Conclusion -- Discussion questions -- Notes -- Part IV Process -- 8 Marketing, technology, and entrepreneurship -- Learning objectives -- A born marketer -- Introduction -- Definition of marketing -- Characteristics of marketing in developed and developing countries. Marketing mix - 4Ps -- Products and services -- Place -- Pricing -- Price deals -- Promotion -- Advertising -- Entrepreneurial marketing -- Marketing timeline -- Step 1: Defining your mission - "what Business are we in?" -- Step 2: Identifying the client (target market) -- Step 3: Analyze the environment -- Product -- Branding or the "brand myopia" -- Technology and marketing -- Social networking: online and real life -- Search Engine Optimization (SEO) -- Conclusion -- Discussion questions -- Appendix -- Notes -- 9 Financing opportunities and challenges -- Learning objectives -- Introduction -- Financing life cycle -- Entrepreneurial growth and a country's economic development -- Legal framework and property rights -- Financial barriers and entrepreneurial growth -- The circular problem -- Lender perspective, environment, and the role of government -- Capital market developing policies -- Capital market enabling policies -- Capital demand-originated problems -- The environment -- Supply sub-optimization -- Lending policies -- The policies -- Capital market harnessing policies -- The environment -- The policies -- The role of government in policy making -- Conclusion -- Discussion questions -- Notes -- 10 Essentials of bookkeeping -- Learning objectives -- Introduction -- Why is bookkeeping important? -- Setting prices -- Budgeting -- Tracking expenses and revenue -- Monitoring performance -- Outside financing -- Decision-making -- What records should be kept? -- Basics of bookkeeping: journal of revenues and expenses -- Expenses -- Fixed and variable costs -- Sales and revenue -- Accounts payable -- Accounts receivable -- Inventory -- Conclusion -- Discussion questions -- Notes -- Index. Maccari, Emerson A 9780367204624 print version oai:cds.cern.ch:2707533 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5975358 ebook ebook EBL Entrepreneurship EBL Sustainable development EBL202001 Information Transfer and Management SzGeCERN BOOK n 202004 202001 21 PUBLIC BOOK DELETED 2707457 SzGeCERN 20200503232050.0 9781000736502 electronic version electronic version EBL 5967858 eng TK5103.59 .C64 2020 621.3827 Jia, Zhensheng Coherent optics for access networks Milton CRC Press 2019 123 p Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Foreword -- Preface -- Acknowledgments -- Editors -- Contributors -- Chapter 1 Access Networks Evolution -- 1.1 Introduction -- 1.2 Traffic Growth -- 1.3 Telco, Mobile and Cable Access Networks -- 1.4 Data Center Interconnectivity Networks -- 1.5 Access Networks Characteristics -- 1.6 Fiber Deployment in the Access -- References -- Chapter 2 Direct-Detection Systems for Fiber-Access Networks -- 2.1 Introduction -- 2.2 Analog Optics -- 2.2.1 Cable Legacy Signals -- 2.2.2 Analog Optics Sources -- 2.2.3 External Modulation in Analog Optics -- 2.2.4 Cable Access Network Characteristics -- 2.2.5 Upstream Transmission -- 2.2.6 Analog Fiber to the Home -- 2.2.7 Aging and Temperature Control -- 2.2.8 Distributed Access Architectures -- 2.3 Pulse Amplitude Modulation (PAM) Signals -- 2.3.1 Optical PAM-4 Signal Modulation, Detection and Equalization -- 2.3.2 Digital Signal-Processing Methods for PAM Signals -- 2.3.3 Challenges and Recent Progress on High-Level PAM Signals -- 2.4 Carrier-less Amplitude/Phase (CAP) Modulation -- 2.4.1 The Principles of Single-Band CAP -- 2.4.2 Digital Signal Processing for CAP Signal in Short-Reach Optical Network -- 2.5 Discrete Multi-Tone in Optical Access Network -- 2.6 Advanced Direct-Detection Technology Based on Kramers-Krönig Receivers -- 2.7 Summary -- References -- Chapter 3 Digital Coherent Optical Technologies -- 3.1 Introduction -- 3.2 Advanced Modulation Formats -- 3.3 Polarization-Multiplexed (PM) QAM Optical Transmitter -- 3.4 Coherent Detection Schemes -- 3.5 Coherent Receiver Architecture -- 3.6 Digital Equalization Algorithms -- 3.7 Application-Specific Integrated Circuit -- 3.8 Coherent Transceiver Pluggable Module Evolution -- 3.9 Coherent OFDM -- References -- Chapter 4 Coherent Technology Transition to Access Networks. 4.1 Introduction -- 4.2 Coherent Optics Drivers for Access Networks -- 4.2.1 DSP Optimization -- 4.2.2 Optical and Electrical Components Simplification -- 4.2.3 Standardization and Interoperability -- 4.2.4 Economies of Scale in Access Network -- References -- Chapter 5 Coherent Optics Use Cases in Access Networks -- 5.1 Introduction -- 5.2 Deployment Scenarios -- 5.2.1 Aggregation Use Case -- 5.2.2 Direct End-to-End Connectivity Use Case -- 5.3 Example: Cable Access Networks -- 5.3.1 Cable HFC Network -- 5.3.2 Economic Model -- 5.4 Coherent PON (P2MP) -- 5.5 Challenges in Coherent PON for Access Network -- 5.6 Summary -- References -- Chapter 6 Simplified Coherent Optics for Passive Optical Networks -- 6.1 Introduction -- 6.2 Optical and Electrical Components Simplification -- 6.3 Optimized Digital Signal Processing Algorithms -- 6.3.1 Chromatic Dispersion Compensation -- 6.3.2 Adaptive Equalization -- 6.4 Summary -- References -- Chapter 7 Access Environment Considerations for Coherent Optics Systems -- 7.1 Introduction -- 7.2 Coexistence with Legacy Optical Channels -- 7.3 Full-Duplex Coherent Optics -- 7.4 Data Security in Optical Fibers -- 7.5 Environmental Conditions -- References -- Chapter 8 Photonics Integrated Circuits for Coherent Optics -- 8.1 Introduction -- 8.2 Silicon Photonics -- 8.3 InP Photonics -- 8.4 Summary -- References -- Chapter 9 Standard Development -- 9.1 Introduction -- 9.2 OIF -- 9.3 CableLabs -- 9.4 IEEE, ITU-T, and Open ROADM -- 9.5 Forward Error Correction -- 9.6 Summary -- References -- Chapter 10 Concluding Remarks -- Abbreviations -- Index. Campos, Luis Alberto 9780367245764 print version oai:cds.cern.ch:2707457 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5967858 ebook ebook EBL202001 Engineering SzGeCERN BOOK n 202004 202001 21 PUBLIC BOOK DELETED 2707432 SzGeCERN 20200503232050.0 9780429520853 electronic version electronic version EBL 5963125 eng G142 .A67 2019 526.028/4 Sharma, J B Applications of small unmanned aircraft systems best practices and case studies Milton CRC Press 2019 309 p Cover -- Half Title -- Title Page -- Copyright Page -- Dedication Page -- Contents -- Foreword -- Preface -- Acknowledgments -- Editor -- Contributor List -- 1: sUAS Data Accuracy in Photogrammetric Workflows -- 1.1 Source of Errors in UAS Photogrammetry -- 1.1.1 Datum and Coordinate Systems -- 1.1.2 Flight Planning and Execution -- 1.2 Lens Quality and Lens Distortion -- 1.2.1 Geo-Location Auxiliary Systems -- 1.3 Block Adjustment Utilizing the Structure from Motion Algorithm -- 1.3.1 Strengths and Weaknesses of UAS-Based Photogrammetry -- 1.4 Image Data Processing and Analysis of Results -- 1.4.1 Bundle Adjustment Report Analysis -- 1.5 Evaluating Errors According to ASPRS Accuracy Standards -- 1.5.1 Accuracy Requirements for Aerial Triangulation and INS-Based Sensor Orientation of Digital Imagery -- 1.5.2 Accuracy Requirements for Ground Control Used for Aerial Triangulation -- 1.6 UAS Project Data Accuracy Examples -- References -- 2: Unmanned Aerial Systems (UAS) and Thematic Map Accuracy Assessment -- 2.1 Introduction -- 2.2 An Overview of Thematic Map Accuracy Assessment -- 2.2.1 Initial Considerations -- 2.2.2 Reference Data Collection -- 2.2.3 Generating the Error Matrix -- 2.2.4 Descriptive Statistics and Other Analysis -- 2.3 Collecting Reference Data Using an Unmanned Aerial System (UAS) -- 2.3.1 Unmanned Aerial Systems (UAS) -- 2.3.2 UAS Reference Data Collection -- 2.3.3 Example Case Study -- 2.4 Conclusions -- Literature Cited -- 3: Multiuser Concepts and Workflow Replicability in sUAS Applications -- 3.1 Introduction -- 3.1.1 Working Definitions -- 3.2 Historical Context -- 3.2.1 Data Quality and Geospatial Provenance -- 3.2.2 International Specifications and Standards -- 3.2.3 sUAS Proliferation and Practical Limitations -- 3.2.4 Common Points of Failure to Replicate in sUAS Context -- 3.2.4.1 sUAS Platform and Sensor Hardware. 3.2.4.2 Mission Planning -- 3.2.4.3 Data Curation and Warehousing Considerations -- 3.2.4.4 Commercial and Open-Source Software -- 3.2.4.5 sUAS Finance and Technology Transfer -- 3.3 Selected Interoperability Considerations in sUAS Applications -- 3.3.1 Emergency Response -- 3.3.2 Law Enforcement -- 3.3.3 Food Security and Agriculture -- 3.4 Recommendations for Multiuser sUAS Workflow Replicability -- 3.4.1 sUAS Hardware and Software Inventory and Maintenance -- 3.4.2 Airspace Authority and Operational Qualifications -- 3.4.3 Balancing Computational Resources and sUAS Requirements -- 3.4.4 Development of a Multiuser sUAS Data Processing Pipeline -- 3.4.5 Role of Metadata and Provenance Interchange Standards -- 3.4.6 Research/Educational Synergy and Intellectual Property -- 3.5 Conclusions and Research Implications -- Acknowledgments -- References -- 4: The sUAS Educational Frontier: Mapping an Educational Pathway for the Future Workforce -- 4.1 From Concept to Airborne -- 4.2 Mapping with Drones -- 4.2.1 Archived Imagery -- 4.2.2 Acquiring New Imagery -- 4.3 Poised for Takeoff: Equating Industry Trends with Workforce Demands -- 4.4 Mapping the Educational and Professional Development Needs of sUAS Industry -- 4.4.1 What Is a DACUM? -- 4.4.2 Towards an sUAS DACUM -- 4.4.3 Targeting Employer's Needs: sUAS Operation Technician DACUM -- 4.4.3.1 Planning an sUAS Flight -- 4.4.3.2 Flight Operations -- 4.4.3.3 Process Geospatial Data -- 4.4.3.4 Maintain sUAS -- 4.4.3.5 Coordinate Flight Operations Logistics -- 4.4.3.6 Maintain Proficiency, Currency, and Recency in Professional Knowledge/Skills -- 4.4.3.7 Perform Administrative Tasks -- 4.4.4 The DACUM Chart: In Summary -- 4.5 Launching the DACUM: Developing Curriculum Pathways for sUAS Operation Technicians (UAS OT) -- 4.5.1 Teaching the Teachers -- 4.6 Summary -- Acknowledgments -- References. 5: Federal Government Applications of UAS Technology -- 5.1 Introduction -- 5.2 UAS for Agriculture -- 5.2.1 Pest Control -- 5.2.2 Weed Management -- 5.2.3 Rangeland Monitoring -- 5.2.4 Improved Crop Yields -- 5.3 UAS for Natural Vegetation -- 5.3.1 Wetlands -- 5.3.2 Forestry -- 5.4 UAS for Public Safety -- 5.4.1 Public Safety -- 5.4.2 Customs and Border Patrol -- 5.4.3 Disasters -- 5.4.4 Construction Safety -- 5.5 UAS for Volcanoes -- 5.6 UAS for Hydrologic Features -- 5.6.1 Flooding -- 5.6.2 Bathymetry and Elevation -- 5.6.3 River Change Monitoring -- 5.6.4 Ground Water Discharge -- 5.6.5 Shoreline Erosion -- 5.6.6 Dam Removal -- 5.6.7 Water Management -- 5.7 UAS for Wildland Fires -- 5.8 UAS for Wildlife -- 5.8.1 Animal Population Counts -- 5.8.2 Habitat Studies -- 5.8.3 Landscape Damage -- 5.9 UAS for Public Health -- 5.9.1 Material Transport -- 5.10 UAS for Environmental Monitoring -- 5.10.1 Oil Spills -- 5.10.2 Contour Surface Mines -- 5.10.3 Abandoned Mines -- 5.10.4 Abandoned Solid Waste -- 5.11 UAS for Ice Applications -- 5.12 UAS for Archeology -- 5.12.1 Cultural Resource Inventories -- 5.12.2 Fossil Animal Tracks -- 5.13 UAS for Other Applications -- 5.14 Summary -- References -- 6: sUAS for Wildlife Conservation - Assessing Habitat Quality of the Endangered Black-Footed Ferret -- 6.1 Introduction -- 6.1.1 Monitoring the Endangered Black-Footed Ferret -- 6.1.2 sUAS in Wildlife Conservation -- 6.2 Methods -- 6.2.1 Study Area -- 6.2.2 sUAS Image Acquisition -- 6.2.3 Ground Surveys -- 6.2.4 Image Processing and Analysis -- 6.2.5 Sensor Limitations -- 6.3 Results -- 6.4 Discussion -- 6.4.1 Cost Comparison Between Ground Surveys and sUAS -- 6.4.2 Long-term Monitoring and Transferability to Other Burrow Counting Studies -- 6.4.3 Challenges and Opportunities for Habitat Monitoring Using sUAS Hyperspectral Imaging. 6.4.4 The Future of sUAS and Wildlife Conservation -- Literature Cited -- 7: Multi-View, Deep Learning, and Contextual Analysis: Promising Approaches for sUAS Land Cover Classification -- 7.1 Introduction -- 7.2 Background -- 7.2.1 Small Unmanned Aircraft System Image Acquisition and Processing -- 7.2.2 Object-based Image Classification -- 7.2.3 Multi-view Data Extraction -- 7.2.4 Deep Convolutional Neural Network Classifier -- 7.2.5 Fully Convolutional Neural Network Classifier -- 7.2.6 Bidirectional Reflectance Distribution Modeling -- 7.2.7 Contextual Modeling -- 7.3 Case Study -- 7.3.1 Study Area and Data Preparation -- 7.3.2 Orthoimage Classification -- 7.3.3 Multi-View Classification -- 7.3.4 Post-Classification Contextual Modeling -- 7.4 Discussion -- 7.5 Conclusions -- Acknowledgment -- References -- 8: UAS for Nature Conservation - Monitoring Invasive Species -- 8.1 The Problem of Plant Invasions -- 8.2 Remote Sensing Monitoring of Invasions - Temporal, Spatial, and Spectral Aspects -- 8.3 UAS for Plant Invasions - Advantages and Challenges -- 8.4 UAS-Based Plant Invasion Case Studies -- 8.4.1 Example 1 - Giant Hogweed -- 8.4.2 Example 2 - Black Locust -- 8.4.3 Example 3 - Invasive Knotweeds -- 8.5 Implications for Management and Future Research -- 8.6 Conclusions -- Acknowledgments -- References -- 9: Small Unmanned Aerial Systems (sUAS) and Structure from Motion for Identifying, Documenting, and Monitoring Cultural and Natural Resources -- 9.1 Introduction to Geospatial Technologies Supporting Cultural and Natural Resource Management -- 9.2 Structure from Motion (SfM) -- 9.3 Cultural Resource Management in the Eastern United States -- 9.3.1 Stratford Hall Cultural Landscape, Stratford, Virginia -- 9.3.2 History and Significance of Stratford Hall -- 9.3.3 Methods for Data Collection at Stratford Hall. 9.3.3.1 Ground Control Data Collection -- 9.3.3.2 sUAS Imagery Acquisition -- 9.3.3.3 Performing SfM and Point Cloud Data Processing -- 9.3.4 Results and Conclusions for the Stratford Hall Cultural Landscape -- 9.4 sUAS-Based Data Acquisition in the Investigation of the Soldiers and Sailors Memorial Monument, New York City, New York -- 9.4.1 Project Background -- 9.4.2 Survey Challenges and Solutions -- 9.4.3 Digital Technologies to Process sUAS Monument Data -- 9.4.4 Conclusions and Future Approaches for Monument Evaluation -- 9.5 Historic Cemeteries in Athens, Georgia -- 9.5.1 Considerations about Location and Data Acquisition -- 9.5.2 Athens - Layers of Time with sUAS Content -- 9.6 Monitoring Hurricane Damage to Vegetation and Shorelines of a Georgia Coastal Barrier Island -- 9.6.1 Considerations about sUAS Location and Data Acquisition -- 9.6.2 Considerations about sUAS Flight Parameters -- 9.6.3 Monitoring Vegetation and Shorelines at Sapelo Island, Georgia -- 9.7 Future Directions in sUAS and SfM Photogrammetry for Cultural and Natural Resources -- References -- 10: New Insights Offered by UAS for River Monitoring -- 10.1 Introduction -- 10.2 Monitoring Geomorphological Features of Rivers -- 10.2.1 Photogrammetric 3D Reconstruction -- 10.2.2 Bathymetric Surveys -- 10.3 Streamflow Monitoring -- 10.3.1 Particle Image Velocimetry (PIV) -- 10.3.2 Particle Tracking Velocimetry (PTV) -- 10.3.3 Optimal Experimental Setup for Surface Flow Velocity -- 10.4 Software Available -- 10.5 Field Campaigns Guidelines -- 10.5.1 Data Processing -- 10.5.2 Image Velocimetry: Examples of Applications -- 10.5.3 Examples of Stream Images and Their Limitations -- 10.6 Recent Advances in Image Velocimetry -- 10.6.1 PTV-Stream -- 10.6.2 Feature-Based Velocimetry -- 10.6.3 Space-Time Image Velocimetry (STIV). 10.7 The Use of Image Processing Techniques for Hydrodynamic Applications. 9780367199241 print version oai:cds.cern.ch:2707432 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5963125 ebook ebook EBL Aerial photography in geography EBL Drone aircraft-Scientific applications EBL Aeronautics in geodesy EBL202001 Astrophysics and Astronomy SzGeCERN BOOK n 202004 202001 21 PUBLIC BOOK DELETED 2707186 20250822091635.0 oai:cds.cern.ch:2707186 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI bibmatch 10.1088/1748-0221/15/02/P02024 arXiv oai:arXiv.org:2001.08106 oai:inspirehep.net:1777035 https://inspirehep.net/api/oai2d Inspire 2025-08-21T13:53:17Z 2025-08-22T02:01:40Z marcxml true Inspire 1777035 arXiv arXiv:2001.08106 astro-ph.IM eng Aalseth, C.E. PNL, Richland Pacific Northwest National Laboratory, Richland, USA arXiv Design and construction of a new detector to measure ultra-low radioactive-isotope contamination of argon 2020-02-26 2020-01-22 19 p arXiv 8 figures IOP Large liquid argon detectors offer one of the best avenues for the detection of galactic weakly interacting massive particles (WIMPs) via their scattering on atomic nuclei. The liquid argon target allows exquisite discrimination between nuclear and electron recoil signals via pulse-shape discrimination of the scintillation signals. Atmospheric argon (AAr), however, has a naturally occurring radioactive isotope, 39Ar, a β emitter of cosmogenic origin. For large detectors, the atmospheric 39Ar activity poses pile-up concerns. The use of argon extracted from underground wells, deprived of 39Ar, is key to the physics potential of these experiments. The DarkSide-20k dark matter search experiment will operate a dual-phase time projection chamber with 50 tonnes of radio-pure underground argon (UAr), that was shown to be depleted of 39Ar with respect to AAr by a factor larger than 1400. Assessing the 39Ar content of the UAr during extraction is crucial for the success of DarkSide-20k, as well as for future experiments of the Global Argon Dark Matter Collaboration (GADMC). This will be carried out by the DArT in ArDM experiment, a small chamber made with extremely radio-pure materials that will be placed at the centre of the ArDM detector, in the Canfranc Underground Laboratory (LSC) in Spain. The ArDM LAr volume acts as an active veto for background radioactivity, mostly γ-rays from the ArDM detector materials and the surrounding rock. This article describes the DArT in ArDM project, including the chamber design and construction, and reviews the background required to achieve the expected performance of the detector. arXiv Large liquid argon detectors offer one of the best avenues for the detection of galactic weakly interacting massive particles (WIMPs) via their scattering on atomic nuclei. The liquid argon target allows exquisite discrimination between nuclear and electron recoil signals via pulse-shape discrimination of the scintillation signals. Atmospheric argon (AAr), however, has a naturally occurring radioactive isotope, $^{39}$Ar, a $\beta$ emitter of cosmogenic origin. For large detectors, the atmospheric $^{39}$Ar activity poses pile-up concerns. The use of argon extracted from underground wells, deprived of $^{39}$Ar, is key to the physics potential of these experiments. The DarkSide-20k dark matter search experiment will operate a dual-phase time projection chamber with 50 tonnes of radio-pure underground argon (UAr), that was shown to be depleted of $^{39}$Ar with respect to AAr by a factor larger than 1400. Assessing the $^{39}$Ar content of the UAr during extraction is crucial for the success of DarkSide-20k, as well as for future experiments of the Global Argon Dark Matter Collaboration (GADMC). This will be carried out by the DArT in ArDM experiment, a small chamber made with extremely radio-pure materials that will be placed at the centre of the ArDM detector, in the Canfranc Underground Laboratory (LSC) in Spain. The ArDM LAr volume acts as an active veto for background radioactivity, mostly $\gamma$-rays from the ArDM detector materials and the surrounding rock. This article describes the DArT in ArDM project, including the chamber design and construction, and reviews the background required to achieve the expected performance of the detector. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication IOP Publishing Ltd and Sissa Medialab 2020 arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques arXiv astro-ph.IM SzGeCERN Astrophysics and Astronomy CERN ARTICLE DARKSIDE Abdelhakim, S. Orsay, IPN Institut de Physique Nuclèaire d'Orsay, France Acerbi, F. Fond. Bruno Kessler, Povo TIFPA-INFN, Trento Fondazione Bruno Kessler, Povo, Italy Trento Institute for Fundamental Physics and Applications, Povo, Italy Agnes, P. Houston U. Department of Physics, University of Houston, Houston, USA Ajaj, R. Carleton U. Department of Physics, Carleton University, Ottawa, Canada Albuquerque, I.F.M. Sao Paulo U. Instituto de Física, Universidade de São Paulo, Brazil Alexander, T. PNL, Richland Pacific Northwest National Laboratory, Richland, USA Alici, A. U. Bologna, DIFA INFN, Bologna Physics Department, Università degli Studi di Bologna, Bologna, Italy INFN Bologna, Italy Alton, A.K. Augustana Coll., Sioux Falls Physics Department, Augustana University, Sioux Falls, USA Amaudruz, P. TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, Canada Ameli, F. INFN, Rome INFN Sezione di Roma, Italy Anstey, J. Carleton U. Department of Physics, Carleton University, Ottawa, Canada Antonioli, P. INFN, Bologna INFN Bologna, Italy Arba, M. INFN, Cagliari INFN Cagliari, Italy Arcelli, S. U. Bologna, DIFA INFN, Bologna Physics Department, Università degli Studi di Bologna, Bologna, Italy INFN Bologna, Italy Ardito, R. Milan Polytechnic INFN, Milan Civil and Environmental Engineering Department, Politecnico di Milano, Milano, Italy INFN Milano, Italy Arnquist, I.J. PNL, Richland Pacific Northwest National Laboratory, Richland, USA Arpaia, P. Naples U. INFN, Naples Department of Electrical Engineering and Information Technology, Università degli Studi Federico II di Napoli, Italy INFN Napoli, Italy Asner, D.M. Brookhaven Brookhaven National Laboratory, Upton, NY, USA Asunskis, A. Black Hills State U. School of Natural Sciences, Black Hills State University, Spearfish, USA Ave, M. Sao Paulo U. Instituto de Física, Universidade de São Paulo, Brazil Back, H.O. PNL, Richland Pacific Northwest National Laboratory, Richland, USA Barrado Olmedo, A. Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid, Spain Batignani, G. INFN, Pisa Pisa U. INFN Pisa, Italy Physics Department, Università degli Studi di Pisa, Italy Bisogni, M.G. INFN, Pisa Pisa U. INFN Pisa, Italy Physics Department, Università degli Studi di Pisa, Italy Bocci, V. INFN, Rome INFN Sezione di Roma, Italy Bondar, A. Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk, Russia Novosibirsk State University, Novosibirsk, Russia Bonfini, G. Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Italy Bonivento, W. INFN, Cagliari INFN Cagliari, Italy Borisova, E. Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk, Russia Novosibirsk State University, Novosibirsk, Russia Bottino, B. Genoa U. INFN, Genoa Physics Department, Università degli Studi di Genova, Genova, Italy INFN Genova, Italy Boulay, M.G. Carleton U. Department of Physics, Carleton University, Ottawa, Canada Bunker, R. PNL, Richland Pacific Northwest National Laboratory, Richland, USA Bussino, S. INFN, Rome3 Rome III U. INFN Roma Tre, Italy Mathematics and Physics Department, Università degli Studi Roma Tre, Italy Buzulutskov, A. Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk, Russia Novosibirsk State University, Novosibirsk, Russia Cadeddu, M. Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari, Italy INFN Cagliari, Italy Cadoni, M. Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari, Italy INFN Cagliari, Italy Caminata, A. INFN, Genoa INFN Genova, Italy Canci, N. Houston U. Gran Sasso Department of Physics, University of Houston, Houston, USA INFN Laboratori Nazionali del Gran Sasso, Italy Candela, A. Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Italy Cantini, C. Zurich, ETH Institute for Particle Physics, ETH Zürich, Switzerland Caravati, M. INFN, Cagliari INFN Cagliari, Italy Cariello, M. INFN, Genoa INFN Genova, Italy Carnesecchi, F. U. Bologna, DIFA INFN, Bologna Enrico Fermi Ctr., Rome Physics Department, Università degli Studi di Bologna, Bologna, Italy INFN Bologna, Italy Museo della fisica e Centro studi e Ricerche Enrico Fermi, Roma, Italy Carpinelli, M. Vienna U. INFN, LNS Chemistry and Pharmacy Department, Università degli Studi di Sassari, Italy INFN Laboratori Nazionali del Sud, Catania, Italy Castellani, A. Milan Polytechnic INFN, Milan Civil and Environmental Engineering Department, Politecnico di Milano, Milano, Italy INFN Milano, Italy Castello, P. Cagliari U. INFN, Cagliari Department of Electrical and Electronic Engineering, Università degli Studi, Cagliari, Italy INFN Cagliari, Italy Catalanotti, S. Naples U. INFN, Naples Physics Department, Università degli Studi Federico II di Napoli, Italy INFN Napoli, Italy Cataudella, V. Naples U. INFN, Naples Physics Department, Università degli Studi Federico II di Napoli, Italy INFN Napoli, Italy Cavalcante, P. Virginia Tech. Gran Sasso Virginia Tech, Blacksburg, USA INFN Laboratori Nazionali del Gran Sasso, Italy Cavazza, D. INFN, Bologna INFN Bologna, Italy Cavuoti, S. Naples U. INFN, Naples Physics Department, Università degli Studi Federico II di Napoli, Italy INFN Napoli, Italy Cebrian, S. Zaragoza U. Centro de Astropartículas y Física de Altas Energías, Universidad de Zaragoza, Spain Cela Ruiz, J.M. Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid, Spain Celano, B. INFN, Naples INFN Napoli, Italy Cereseto, R. INFN, Genoa INFN Genova, Italy Cheng, W. INFN, Turin Turin Polytechnic INFN Torino, Italy Department of Electronics and Communications, Politecnico di Torino, Italy Chepurnov, A. SINP, Moscow Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow, Russia Cicalò, C. INFN, Cagliari INFN Cagliari, Italy Cifarelli, L. U. Bologna, DIFA INFN, Bologna Physics Department, Università degli Studi di Bologna, Bologna, Italy INFN Bologna, Italy Citterio, M. INFN, Milan INFN Milano, Italy Cocco, A.G. INFN, Naples INFN Napoli, Italy Cocco, V. INFN, Cagliari INFN Cagliari, Italy Colocci, M. U. Bologna, DIFA INFN, Bologna Physics Department, Università degli Studi di Bologna, Bologna, Italy INFN Bologna, Italy Consiglio, L. GSSI, Aquila Gran Sasso Science Institute, L'Aquila, Italy Cossio, F. INFN, Turin Turin Polytechnic INFN Torino, Italy Department of Electronics and Communications, Politecnico di Torino, Italy Covone, G. Naples U. INFN, Naples Physics Department, Università degli Studi Federico II di Napoli, Italy INFN Napoli, Italy Crivelli, P. Zurich, ETH Institute for Particle Physics, ETH Zürich, Switzerland D'Antone, I. INFN, Bologna INFN Bologna, Italy D'Incecco, M. Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Italy D'Urso, D. Vienna U. INFN, LNS Chemistry and Pharmacy Department, Università degli Studi di Sassari, Italy INFN Laboratori Nazionali del Sud, Catania, Italy Da Rocha Rolo, M.D. INFN, Turin INFN Torino, Italy Dadoun, O. Paris U., VI-VII LPNHE, CNRS/IN2P3, Sorbonne Université, Université Paris Diderot, France Daniel, M. Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid, Spain Davini, S. INFN, Genoa INFN Genova, Italy De Candia, A. Naples U. INFN, Naples Physics Department, Università degli Studi Federico II di Napoli, Italy INFN Napoli, Italy De Cecco, S. INFN, Rome Rome U. INFN Sezione di Roma, Italy Physics Department, Sapienza Università di Roma, Italy De Deo, M. Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Italy De Falco, A. INFN, Cagliari Cagliari U. INFN Cagliari, Italy Physics Department, Università degli Studi di Cagliari, Cagliari, Italy De Filippis, G. Naples U. INFN, Naples Physics Department, Università degli Studi Federico II di Napoli, Italy INFN Napoli, Italy De Gruttola, D. INFN, Salerno INFN Salerno, Italy De Guido, G. Milan Polytechnic INFN, Milan Chemistry, Materials and Chemical Engineering Department G. Natta, Politecnico di Milano, Milano, Italy INFN Milano, Italy De Rosa, G. Naples U. INFN, Naples Physics Department, Università degli Studi Federico II di Napoli, Italy INFN Napoli, Italy Dellacasa, G. INFN, Turin INFN Torino, Italy Demontis, P. Vienna U. INFN, LNS Europa Metalli LMI, Florence Chemistry and Pharmacy Department, Università degli Studi di Sassari, Italy INFN Laboratori Nazionali del Sud, Catania, Italy Interuniversity Consortium for Science and Technology of Materials, Firenze, Italy DePaquale, S. INFN, Salerno INFN Salerno, Italy Derbin, A.V. St. Petersburg, INP Saint Petersburg Nuclear Physics Institute, Gatchina, Russia Devoto, A. Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari, Italy INFN Cagliari, Italy Di Eusanio, F. Princeton U. Gran Sasso Physics Department, Princeton University, Princeton, USA INFN Laboratori Nazionali del Gran Sasso, Italy Di Noto, L. Genoa U. INFN, Genoa Physics Department, Università degli Studi di Genova, Genova, Italy INFN Genova, Italy Di Pietro, G. Gran Sasso INFN, Milan INFN Laboratori Nazionali del Gran Sasso, Italy INFN Milano, Italy Di Stefano, P. Queen's U., Kingston Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Canada Dionisi, C. INFN, Rome Rome U. INFN Sezione di Roma, Italy Physics Department, Sapienza Università di Roma, Italy Dolganov, G. Kurchatov Inst., Moscow National Research Centre Kurchatov Institute, Moscow, Russia Dordei, F. INFN, Cagliari INFN Cagliari, Italy Downing, M. Massachusetts U., Amherst Amherst Center for Fundamental Interactions and Physics Department, University of Massachusetts, Amherst, USA Edalatfar, F. TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, Canada Empl, A. Houston U. Department of Physics, University of Houston, Houston, USA Fernandez Diaz, M. Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid, Spain Ferri, A. Fond. Bruno Kessler, Povo TIFPA-INFN, Trento Fondazione Bruno Kessler, Povo, Italy Trento Institute for Fundamental Physics and Applications, Povo, Italy Filip, C. INCDTIM, Cluj Napoca National Institute for R\&D of Isotopic and Molecular Technologies, Cluj-Napoca, Romania Fiorillo, G. Naples U. INFN, Naples Physics Department, Università degli Studi Federico II di Napoli, Italy INFN Napoli, Italy Fomenko, K. Dubna, JINR Joint Institute for Nuclear Research, Dubna, Russia Franceschi, A. Frascati INFN Laboratori Nazionali di Frascati, Italy Franco, D. APC, Paris APC, Université Paris Diderot, CNRS/IN2P3, CEA/Irfu, Obs de Paris, USPC, France Froudakis, G.E. Crete U. Department of Chemistry, University of Crete, Heraklion, Greece Gabriele, F. Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Italy Gabrieli, A. Vienna U. INFN, LNS Chemistry and Pharmacy Department, Università degli Studi di Sassari, Italy INFN Laboratori Nazionali del Sud, Catania, Italy Galbiati, C. Princeton U. GSSI, Aquila Physics Department, Princeton University, Princeton, USA Gran Sasso Science Institute, L'Aquila, Italy Garcia Abia, P. Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid, Spain Gascón Fora, D. Barcelona, IFAE Universitat de Barcelona, Spain Gendotti, A. Zurich, ETH Institute for Particle Physics, ETH Zürich, Switzerland Ghiano, C. Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Italy Ghisi, A. Milan Polytechnic INFN, Milan Civil and Environmental Engineering Department, Politecnico di Milano, Milano, Italy INFN Milano, Italy Giagu, S. INFN, Rome Rome U. INFN Sezione di Roma, Italy Physics Department, Sapienza Università di Roma, Italy Giampa, P. TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, Canada Giampaolo, R.A. INFN, Turin Turin Polytechnic INFN Torino, Italy Department of Electronics and Communications, Politecnico di Torino, Italy Giganti, C. Paris U., VI-VII LPNHE, CNRS/IN2P3, Sorbonne Université, Université Paris Diderot, France Giorgi, M.A. Pisa U. INFN, Pisa Physics Department, Università degli Studi di Pisa, Italy INFN Pisa, Italy Giovanetti, G.K. Princeton U. Physics Department, Princeton University, Princeton, USA Gligan, M.L. INCDTIM, Cluj Napoca National Institute for R\&D of Isotopic and Molecular Technologies, Cluj-Napoca, Romania Gola, A. Fond. Bruno Kessler, Povo TIFPA-INFN, Trento Fondazione Bruno Kessler, Povo, Italy Trento Institute for Fundamental Physics and Applications, Povo, Italy Gorchakov, O. Dubna, JINR Joint Institute for Nuclear Research, Dubna, Russia Grab, M. Jagiellonian U. M. Smoluchowski Institute of Physics, Jagiellonian University, Krakow, Poland Graciani Diaz, R. Barcelona, IFAE Universitat de Barcelona, Spain Granato, F. Temple U. Physics Department, Temple University, Philadelphia, USA Grassi, M. INFN, Pisa INFN Pisa, Italy Grate, J.W. PNL, Richland Pacific Northwest National Laboratory, Richland, USA Grigoriev, G.Y. Kurchatov Inst., Moscow National Research Centre Kurchatov Institute, Moscow, Russia Grobov, A. Kurchatov Inst., Moscow Moscow Phys. Eng. Inst. National Research Centre Kurchatov Institute, Moscow, Russia National Research Nuclear University MEPhI, Moscow, Russia Gromov, M. SINP, Moscow Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow, Russia Guan, M. Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Beijing, China Guerra, M.B.B. Black Hills State U. School of Natural Sciences, Black Hills State University, Spearfish, USA Guerzoni, M. INFN, Bologna INFN Bologna, Italy Gulino, M. Libera U. Kore INFN, LNS Engineering and Architecture Faculty, Università di Enna Kore, Enna, Italy INFN Laboratori Nazionali del Sud, Catania, Italy Haaland, R.K. Fort Lewis Coll. Department of Physics and Engineering, Fort Lewis College, Durango, USA Hackett, B.R. Hawaii U. Department of Physics and Astronomy, University of Hawai'i, Honolulu, USA Hallin, A. Alberta U. Department of Physics, University of Alberta, Edmonton, Canada Harrop, B. Princeton U. Physics Department, Princeton University, Princeton, USA Hoppe, E.W. PNL, Richland Pacific Northwest National Laboratory, Richland, USA Horikawa, S. GSSI, Aquila Gran Sasso Gran Sasso Science Institute, L'Aquila, Italy INFN Laboratori Nazionali del Gran Sasso, Italy Hosseini, B. INFN, Cagliari INFN Cagliari, Italy Hubaut, F. Marseille, CPPM Centre de Physique des Particules de Marseille, Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France Humble, P. PNL, Richland Pacific Northwest National Laboratory, Richland, USA Hungerford, E.V. Houston U. Department of Physics, University of Houston, Houston, USA Ianni, An. Princeton U. Gran Sasso Physics Department, Princeton University, Princeton, USA INFN Laboratori Nazionali del Gran Sasso, Italy Ilyasov, A. Kurchatov Inst., Moscow Moscow Phys. Eng. Inst. National Research Centre Kurchatov Institute, Moscow, Russia National Research Nuclear University MEPhI, Moscow, Russia Ippolito, V. INFN, Rome INFN Sezione di Roma, Italy Jillings, C. Laurentian U. SNOLAB, Lively Department of Physics and Astronomy, Laurentian University, Sudbury, Canada SNOLAB, Lively, Canada Keeter, K. Black Hills State U. School of Natural Sciences, Black Hills State University, Spearfish, USA Kendziora, C.L. Fermilab Fermi National Accelerator Laboratory, Batavia, USA Kim, S. Temple U. Physics Department, Temple University, Philadelphia, USA Kochanek, I. Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Italy Kondo, K. GSSI, Aquila Gran Sasso Science Institute, L'Aquila, Italy Kopp, G. Princeton U. Physics Department, Princeton University, Princeton, USA Korablev, D. Dubna, JINR Joint Institute for Nuclear Research, Dubna, Russia Korga, G. Houston U. Gran Sasso Department of Physics, University of Houston, Houston, USA INFN Laboratori Nazionali del Gran Sasso, Italy Kubankin, A. Belgorod State U. Radiation Physics Laboratory, Belgorod National Research University, Belgorod, Russia Kugathasan, R. INFN, Turin Turin Polytechnic INFN Torino, Italy Department of Electronics and Communications, Politecnico di Torino, Italy Kuss, M. INFN, Pisa INFN Pisa, Italy Kuźniak, M. Carleton U. Warsaw, Copernicus Astron. Ctr. Department of Physics, Carleton University, Ottawa, Canada AstroCeNT, Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, Warsaw, Poland La Commara, M. Naples U. INFN, Naples Pharmacy Department, Università degli Studi Federico II di Napoli, Italy INFN Napoli, Italy La Delfa, L. INFN, Cagliari INFN Cagliari, Italy Lai, M. Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari, Italy INFN Cagliari, Italy Langrock, S. Laurentian U. Department of Physics and Astronomy, Laurentian University, Sudbury, Canada Lebois, M. Orsay, IPN Institut de Physique Nuclèaire d'Orsay, France Lehnert, B. Alberta U. Department of Physics, University of Alberta, Edmonton, Canada Levashko, N. Kurchatov Inst., Moscow Moscow Phys. Eng. Inst. National Research Centre Kurchatov Institute, Moscow, Russia National Research Nuclear University MEPhI, Moscow, Russia Li, X. Princeton U. Physics Department, Princeton University, Princeton, USA Liqiang, Q. Orsay, IPN Institut de Physique Nuclèaire d'Orsay, France Lissia, M. INFN, Cagliari INFN Cagliari, Italy Lodi, G.U. Milan Polytechnic INFN, Milan Chemistry, Materials and Chemical Engineering Department G. Natta, Politecnico di Milano, Milano, Italy INFN Milano, Italy Longo, G. Naples U. INFN, Naples Physics Department, Università degli Studi Federico II di Napoli, Italy INFN Napoli, Italy López Manzano, R. Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid, Spain Lussana, R. Milan Polytechnic INFN, Milan Electronics, Information, and Bioengineering Department, Politecnico di Milano, Milano, Italy INFN Milano, Italy Luzzi, L. Milan Polytechnic INFN, Milan Energy Department, Politecnico di Milano, Milano, Italy INFN Milano, Italy Machado, A.A. Campinas State U. Physics Institute, Universidade Estadual de Campinas, Campinas, Brazil Machulin, I.N. Kurchatov Inst., Moscow Moscow Phys. Eng. Inst. National Research Centre Kurchatov Institute, Moscow, Russia National Research Nuclear University MEPhI, Moscow, Russia Mandarano, A. GSSI, Aquila Gran Sasso Gran Sasso Science Institute, L'Aquila, Italy INFN Laboratori Nazionali del Gran Sasso, Italy Mapelli, L. Princeton U. Physics Department, Princeton University, Princeton, USA Marcante, M. Trento U. TIFPA-INFN, Trento Fond. Bruno Kessler, Povo Physics Department, Università degli Studi di Trento, Povo, Italy Trento Institute for Fundamental Physics and Applications, Povo, Italy Fondazione Bruno Kessler, Povo, Italy Margotti, A. INFN, Bologna INFN Bologna, Italy Mari, S.M. INFN, Rome3 Rome III U. INFN Roma Tre, Italy Mathematics and Physics Department, Università degli Studi Roma Tre, Italy Mariani, M. Milan Polytechnic INFN, Milan Energy Department, Politecnico di Milano, Milano, Italy INFN Milano, Italy Maricic, J. Hawaii U. Department of Physics and Astronomy, University of Hawai'i, Honolulu, USA Marinelli, M. Genoa U. INFN, Genoa Physics Department, Università degli Studi di Genova, Genova, Italy INFN Genova, Italy Marras, D. INFN, Cagliari INFN Cagliari, Italy Martínez, M. Zaragoza U. ARAID, Zaragoza Centro de Astropartículas y Física de Altas Energías, Universidad de Zaragoza, Spain ARAID, Fundación Agencia Aragonesa para la Investigación y el Desarrollo, Gobierno de Aragón, Zaragoza, Spain Martínez Morales, J.J. Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid, Spain Martinez Rojas, A.D. INFN, Turin Turin Polytechnic INFN Torino, Italy Department of Electronics and Communications, Politecnico di Torino, Italy Martoff, C.J. Temple U. Physics Department, Temple University, Philadelphia, USA Mascia, M. Cagliari U. INFN, Cagliari Department of Mechanical, Chemical, and Materials Engineering, Università degli Studi, Cagliari, Italy INFN Cagliari, Italy Mason, J. Carleton U. Department of Physics, Carleton University, Ottawa, Canada Masoni, A. INFN, Cagliari INFN Cagliari, Italy Mazzi, A. Fond. Bruno Kessler, Povo TIFPA-INFN, Trento Fondazione Bruno Kessler, Povo, Italy Trento Institute for Fundamental Physics and Applications, Povo, Italy McDonald, A.B. Queen's U., Kingston Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Canada Messina, A. INFN, Rome Rome U. INFN Sezione di Roma, Italy Physics Department, Sapienza Università di Roma, Italy Meyers, P.D. Princeton U. Physics Department, Princeton University, Princeton, USA Miletic, T. Hawaii U. Department of Physics and Astronomy, University of Hawai'i, Honolulu, USA Milincic, R. Hawaii U. Department of Physics and Astronomy, University of Hawai'i, Honolulu, USA Moggi, A. INFN, Pisa INFN Pisa, Italy Moioli, S. Milan Polytechnic INFN, Milan Chemistry, Materials and Chemical Engineering Department G. Natta, Politecnico di Milano, Milano, Italy INFN Milano, Italy Monroe, J. Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham, UK Morrocchi, M. INFN, Pisa INFN Pisa, Italy Mroz, T. Jagiellonian U. M. Smoluchowski Institute of Physics, Jagiellonian University, Krakow, Poland Mu, W. Zurich, ETH Institute for Particle Physics, ETH Zürich, Switzerland Muratova, V.N. St. Petersburg, INP Saint Petersburg Nuclear Physics Institute, Gatchina, Russia Murphy, S. Zurich, ETH Institute for Particle Physics, ETH Zürich, Switzerland Muscas, C. Cagliari U. INFN, Cagliari Department of Electrical and Electronic Engineering, Università degli Studi, Cagliari, Italy INFN Cagliari, Italy Musico, P. INFN, Genoa INFN Genova, Italy Nania, R. INFN, Bologna INFN Bologna, Italy Napolitano, T. Frascati INFN Laboratori Nazionali di Frascati, Italy Navrer Agasson, A. Paris U., VI-VII LPNHE, CNRS/IN2P3, Sorbonne Université, Université Paris Diderot, France Nessi, M. CERN CERN, European Organization for Nuclear Research, Switzerland, CERN Nikulin, I. Belgorod State U. Radiation Physics Laboratory, Belgorod National Research University, Belgorod, Russia Oleinik, A. Belgorod State U. Radiation Physics Laboratory, Belgorod National Research University, Belgorod, Russia Oleynikov, V. Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk, Russia Novosibirsk State University, Novosibirsk, Russia Orsini, M. Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Italy Ortica, F. U. Perugia (main) INFN, Perugia Chemistry, Biology and Biotechnology Department, Università degli Studi di Perugia, Italy INFN Perugia, Italy Pagani, L. UC, Davis Department of Physics, University of California, Davis, USA Pallavicini, M. Genoa U. INFN, Genoa Physics Department, Università degli Studi di Genova, Genova, Italy INFN Genova, Italy Palmas, S. Cagliari U. INFN, Cagliari Department of Mechanical, Chemical, and Materials Engineering, Università degli Studi, Cagliari, Italy INFN Cagliari, Italy Pandola, L. INFN, LNS INFN Laboratori Nazionali del Sud, Catania, Italy Pantic, E. UC, Davis Department of Physics, University of California, Davis, USA Paoloni, E. INFN, Pisa Pisa U. INFN Pisa, Italy Physics Department, Università degli Studi di Pisa, Italy Paternoster, G. Fond. Bruno Kessler, Povo TIFPA-INFN, Trento Fondazione Bruno Kessler, Povo, Italy Trento Institute for Fundamental Physics and Applications, Povo, Italy Pavletcov, V. SINP, Moscow Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow, Russia Pazzona, F. Vienna U. INFN, LNS Chemistry and Pharmacy Department, Università degli Studi di Sassari, Italy INFN Laboratori Nazionali del Sud, Catania, Italy Peeters, S. Sussex U. Physics and Astronomy, University of Sussex, Brighton, UK Pegoraro, P.A. Cagliari U. INFN, Cagliari Department of Electrical and Electronic Engineering, Università degli Studi, Cagliari, Italy INFN Cagliari, Italy Pelczar, K. Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Italy Pellegrini, L.A. Milan Polytechnic INFN, Milan Chemistry, Materials and Chemical Engineering Department G. Natta, Politecnico di Milano, Milano, Italy INFN Milano, Italy Pellegrino, C. INFN, Bologna Enrico Fermi Ctr., Rome INFN Bologna, Italy Museo della fisica e Centro studi e Ricerche Enrico Fermi, Roma, Italy Pelliccia, N. U. Perugia (main) INFN, Perugia Chemistry, Biology and Biotechnology Department, Università degli Studi di Perugia, Italy INFN Perugia, Italy Perotti, F. Milan Polytechnic INFN, Milan Civil and Environmental Engineering Department, Politecnico di Milano, Milano, Italy INFN Milano, Italy Pesudo, V. Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid, Spain Picciau, E. Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari, Italy INFN Cagliari, Italy Piemonte, C. Fond. Bruno Kessler, Povo TIFPA-INFN, Trento Fondazione Bruno Kessler, Povo, Italy Trento Institute for Fundamental Physics and Applications, Povo, Italy Pietropaolo, F. CERN CERN, European Organization for Nuclear Research, Switzerland, CERN Pocar, A. Massachusetts U., Amherst Amherst Center for Fundamental Interactions and Physics Department, University of Massachusetts, Amherst, USA Pollman, T. Munich U. Physik Department, Technische Universität München, Germany Portaluppi, D. Milan Polytechnic INFN, Milan Electronics, Information, and Bioengineering Department, Politecnico di Milano, Milano, Italy INFN Milano, Italy Poudel, S.S. Houston U. Department of Physics, University of Houston, Houston, USA Pralavorio, P. Marseille, CPPM Centre de Physique des Particules de Marseille, Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France Price, D. Manchester U. The University of Manchester, Manchester, United Kingdom Radics, B. Zurich, ETH Institute for Particle Physics, ETH Zürich, Switzerland Raffaelli, F. INFN, Pisa INFN Pisa, Italy Ragusa, F. Milan U. INFN, Milan Physics Department, Università degli Studi di Milano, Milano, Italy INFN Milano, Italy Razeti, M. INFN, Cagliari INFN Cagliari, Italy Razeto, A. Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Italy Regazzoni, V. Trento U. TIFPA-INFN, Trento Fond. Bruno Kessler, Povo Physics Department, Università degli Studi di Trento, Povo, Italy Trento Institute for Fundamental Physics and Applications, Povo, Italy Fondazione Bruno Kessler, Povo, Italy Regenfus, C. Zurich, ETH Institute for Particle Physics, ETH Zürich, Switzerland Renshaw, A.L. Houston U. Department of Physics, University of Houston, Houston, USA Rescia, S. Brookhaven Brookhaven National Laboratory, Upton, NY, USA Rescigno, M. INFN, Rome INFN Sezione di Roma, Italy Retiere, F. TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, Canada Rignanese, L.P. U. Bologna, DIFA INFN, Bologna Enrico Fermi Ctr., Rome Physics Department, Università degli Studi di Bologna, Bologna, Italy INFN Bologna, Italy Museo della fisica e Centro studi e Ricerche Enrico Fermi, Roma, Italy Rivetti, A. INFN, Turin INFN Torino, Italy Romani, A. U. Perugia (main) INFN, Perugia Chemistry, Biology and Biotechnology Department, Università degli Studi di Perugia, Italy INFN Perugia, Italy Romero, L. Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid, Spain Rossi, N. INFN, Rome Gran Sasso INFN Sezione di Roma, Italy INFN Laboratori Nazionali del Gran Sasso, Italy Rubbia, A. Zurich, ETH Institute for Particle Physics, ETH Zürich, Switzerland Sablone, D. Temple U. Gran Sasso Physics Department, Temple University, Philadelphia, USA INFN Laboratori Nazionali del Gran Sasso, Italy Sala, P. CERN CERN, European Organization for Nuclear Research, Switzerland, CERN Salatino, P. Naples U. INFN, Naples Chemical, Materials, and Industrial Production Engineering Department, Università degli Studi Federico II di Napoli, Italy INFN Napoli, Italy Samoylov, O. Dubna, JINR Joint Institute for Nuclear Research, Dubna, Russia Sánchez García, E. Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid, Spain Sanfilippo, S. Rome III U. INFN, Rome3 Mathematics and Physics Department, Università degli Studi Roma Tre, Italy INFN Roma Tre, Italy Sant, M. Vienna U. INFN, LNS Chemistry and Pharmacy Department, Università degli Studi di Sassari, Italy INFN Laboratori Nazionali del Sud, Catania, Italy Santone, D. Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham, UK Santorelli, R. Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid, Spain Savarese, C. Princeton U. Physics Department, Princeton University, Princeton, USA Scapparone, E. INFN, Bologna INFN Bologna, Italy Schlitzer, B. UC, Davis Department of Physics, University of California, Davis, USA Scioli, G. U. Bologna, DIFA INFN, Bologna Physics Department, Università degli Studi di Bologna, Bologna, Italy INFN Bologna, Italy Segreto, E. Campinas State U. Physics Institute, Universidade Estadual de Campinas, Campinas, Brazil Seifert, A. PNL, Richland Pacific Northwest National Laboratory, Richland, USA Semenov, D.A. St. Petersburg, INP Saint Petersburg Nuclear Physics Institute, Gatchina, Russia Shchagin, A. Belgorod State U. Radiation Physics Laboratory, Belgorod National Research University, Belgorod, Russia Sheshukov, A. Dubna, JINR Joint Institute for Nuclear Research, Dubna, Russia Siddhanta, S. INFN, Cagliari INFN Cagliari, Italy Simeone, M. Naples U. INFN, Naples Chemical, Materials, and Industrial Production Engineering Department, Università degli Studi Federico II di Napoli, Italy INFN Napoli, Italy Singh, P.N. Houston U. Department of Physics, University of Houston, Houston, USA Skensved, P. Queen's U., Kingston Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Canada Skorokhvatov, M.D. Kurchatov Inst., Moscow Moscow Phys. Eng. Inst. National Research Centre Kurchatov Institute, Moscow, Russia National Research Nuclear University MEPhI, Moscow, Russia Smirnov, O. Dubna, JINR Joint Institute for Nuclear Research, Dubna, Russia Sobrero, G. INFN, Genoa INFN Genova, Italy Sokolov, A. Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk, Russia Novosibirsk State University, Novosibirsk, Russia Sotnikov, A. Dubna, JINR Joint Institute for Nuclear Research, Dubna, Russia Stainforth, R. Carleton U. Department of Physics, Carleton University, Ottawa, Canada Steri, A. INFN, Cagliari INFN Cagliari, Italy Stracka, S. INFN, Pisa INFN Pisa, Italy Strickland, V. Carleton U. Department of Physics, Carleton University, Ottawa, Canada Suffritti, G.B. Vienna U. INFN, LNS Europa Metalli LMI, Florence Chemistry and Pharmacy Department, Università degli Studi di Sassari, Italy INFN Laboratori Nazionali del Sud, Catania, Italy Interuniversity Consortium for Science and Technology of Materials, Firenze, Italy Sulis, S. Cagliari U. INFN, Cagliari Department of Electrical and Electronic Engineering, Università degli Studi, Cagliari, Italy INFN Cagliari, Italy Suvorov, Y. Naples U. INFN, Naples Kurchatov Inst., Moscow Physics Department, Università degli Studi Federico II di Napoli, Italy INFN Napoli, Italy National Research Centre Kurchatov Institute, Moscow, Russia Szelc, A.M. Manchester U. The University of Manchester, Manchester, United Kingdom Tartaglia, R. Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Italy Testera, G. INFN, Genoa INFN Genova, Italy Thorpe, T. GSSI, Aquila Gran Sasso Gran Sasso Science Institute, L'Aquila, Italy INFN Laboratori Nazionali del Gran Sasso, Italy Tonazzo, A. APC, Paris APC, Université Paris Diderot, CNRS/IN2P3, CEA/Irfu, Obs de Paris, USPC, France Tosi, A. Milan Polytechnic INFN, Milan Electronics, Information, and Bioengineering Department, Politecnico di Milano, Milano, Italy INFN Milano, Italy Tuveri, M. INFN, Cagliari INFN Cagliari, Italy Unzhakov, E.V. St. Petersburg, INP Saint Petersburg Nuclear Physics Institute, Gatchina, Russia Usai, G. INFN, Cagliari Cagliari U. INFN Cagliari, Italy Physics Department, Università degli Studi di Cagliari, Cagliari, Italy Vacca, A. Cagliari U. INFN, Cagliari Department of Mechanical, Chemical, and Materials Engineering, Università degli Studi, Cagliari, Italy INFN Cagliari, Italy Vázquez-Jáuregui, E. Mexico U. Instituto de Física, Universidad Nacional Autónoma de México Verducci, M. INFN, Rome Rome U. INFN Sezione di Roma, Italy Physics Department, Sapienza Università di Roma, Italy Viant, T. Zurich, ETH Institute for Particle Physics, ETH Zürich, Switzerland Viel, S. Carleton U. Department of Physics, Carleton University, Ottawa, Canada Villa, F. Milan Polytechnic INFN, Milan Electronics, Information, and Bioengineering Department, Politecnico di Milano, Milano, Italy INFN Milano, Italy Vishneva, A. Dubna, JINR Joint Institute for Nuclear Research, Dubna, Russia Vogelaar, R.B. Virginia Tech. Virginia Tech, Blacksburg, USA Wada, M. INFN, Cagliari Warsaw, Copernicus Astron. Ctr. INFN Cagliari, Italy AstroCeNT, Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, Warsaw, Poland Wahl, J. PNL, Richland Pacific Northwest National Laboratory, Richland, USA Walding, J.J. Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham, UK Wang, H. UCLA Physics and Astronomy Department, University of California, Los Angeles, USA Wang, Y. UCLA Physics and Astronomy Department, University of California, Los Angeles, USA Westerdale, S. Carleton U. Department of Physics, Carleton University, Ottawa, Canada Wheadon, R.J. INFN, Turin INFN Torino, Italy Williams, R. PNL, Richland Pacific Northwest National Laboratory, Richland, USA Wilson, J. Orsay, IPN Institut de Physique Nuclèaire d'Orsay, France Wojcik, Marcin Jagiellonian U. M. Smoluchowski Institute of Physics, Jagiellonian University, Krakow, Poland Wojcik, Mariusz Lodz, Tech. U. Institute of Applied Radiation Chemistry, Lodz University of Technology, Poland Wu, S. Zurich, ETH Institute for Particle Physics, ETH Zürich, Switzerland Xiao, X. UCLA Physics and Astronomy Department, University of California, Los Angeles, USA Yang, C. Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Beijing, China Ye, Z. Houston U. Department of Physics, University of Houston, Houston, USA Zuffa, M. INFN, Bologna INFN Bologna, Italy Zuzel, G. Jagiellonian U. M. Smoluchowski Institute of Physics, Jagiellonian University, Krakow, Poland DarkSide Collaboration P02024 02 JINST 15 2020 https://lss.fnal.gov/archive/2020/pub/fermilab-pub-20-023-ppd.pdf Fermilab Library Server (fulltext available) 1602536 4282324 http://cds.cern.ch/record/2707186/files/fermilab-pub-20-023-ppd.pdf Fulltext 2210620 6491095 http://cds.cern.ch/record/2707186/files/DART-with-pipes-and-flange.png 00002 (Left) Sketch of the inner structure of DArT. (Right) Picture of the actual detector. The short stainless steel pipes are used in the cryogenic tests, and will be replaced by longer tubes in the final setup. 2210621 12499 http://cds.cern.ch/record/2707186/files/spectrum_background_modifed.png 00007 Expected untagged background events in \dart{} with the lead shield (red circles) and without (blue squares) in one month of data taking, assuming a veto threshold of 10~keV. 2210622 19646 http://cds.cern.ch/record/2707186/files/collection_r.png 00009 Average light collection efficiency vs. height (left) and radius (right) of the interaction position. 2210623 14188 http://cds.cern.ch/record/2707186/files/uar_lin_lead_zoom.png 00011 Photo-electron spectra corresponding to one week of data taking, (left) for an \ar{} $DF = 10$ without lead shield and (right) for $DF = 1400$ with lead shield. The red (dark) histogram represents the background spectrum, the blue (light) histogram is the \ar\ signal and the black dots denote the simulated data. 2210624 18948 http://cds.cern.ch/record/2707186/files/Esquema_gas_V4.png 00005 Schematics of the gas handling and cryogenic system for the operation of DArT. P indicates mechanical pressure gauges, F stands for flow meters and V denotes valves. 2210625 279079 http://cds.cern.ch/record/2707186/files/ArDM.png 00000 DArT detector in the centre of the ArDM cryostat. 2210626 26739 http://cds.cern.ch/record/2707186/files/collection_z.png 00008 Average light collection efficiency vs. height (left) and radius (right) of the interaction position. 2210627 14622 http://cds.cern.ch/record/2707186/files/aria_lin_nolead_zoom.png 00010 Photo-electron spectra corresponding to one week of data taking, (left) for an \ar{} $DF = 10$ without lead shield and (right) for $DF = 1400$ with lead shield. The red (dark) histogram represents the background spectrum, the blue (light) histogram is the \ar\ signal and the black dots denote the simulated data. 2210628 152572 http://cds.cern.ch/record/2707186/files/DArT-drawing.png 00001 (Left) Sketch of the inner structure of DArT. (Right) Picture of the actual detector. The short stainless steel pipes are used in the cryogenic tests, and will be replaced by longer tubes in the final setup. 2210629 4205149 http://cds.cern.ch/record/2707186/files/DArT-acrylic-vessel.png 00003 (Left) Inner acrylic structure lateral view. (Right) Top acrylic cap and support disk with the photo-detector module installed. 2210630 3940828 http://cds.cern.ch/record/2707186/files/top_acrylic.png 00004 (Left) Inner acrylic structure lateral view. (Right) Top acrylic cap and support disk with the photo-detector module installed. 2210631 4469078 http://cds.cern.ch/record/2707186/files/2001.08106.pdf Fulltext 2210632 222088 http://cds.cern.ch/record/2707186/files/DArTeye.png 00006 Images of the front and back sides of the front-end boards housing the SiPM for light readout. 2340478 5613869 http://cds.cern.ch/record/2707186/files/Aalseth_2020_J._Inst._15_P02024.pdf Fulltext from Publisher 13 ARTICLE 2706849 SzGeCERN 20210421201136.0 9783030359065 electronic version electronic version 9783030359058 print version 9783030359072 print version 9783030359089 print version DOI 10.1007/978-3-030-35906-5 ebook oai:cds.cern.ch:2706849 cerncds:BOOK eng QC801-809 23 550 The study of continental lithosphere electrical conductivity, temperature and rheology Cham Springer 2019 ebook Springer proceedings in earth and environmental sciences 2524-342x Annotation -- Introduction -- Part 1 Theoretical problems by Electrical Conductivity, Temperature and Rheology researches -- Chapter 1. Modern stress of the crust of Eurasia -- Chapter 2. On the nature of the brittle-ductile transition zone in the Earth's crust -- Chapter 3. Мodeling of stress-strain state medium with different rheological and geomechanical parameters in annex to the tasks of regional geodynamics -- Chapter 4. Positioning geoelectric heterogeneities in the Earth's Crust using dual-frequency radio holographic method, etc. This proceedings book investigates the possibilities for creating new models of the continental lithosphere structure by integrating methods from geothermodynamics and deep geoelectrics. It particularly focuses on the use of powerful controlled sources of electromagnetic field to study the nature of deep geophysical boundaries. It also presents research related to the transition boundary between the brittle and quasiplastic states of Earth’s crust matter and the position of creep areas in Earth’s crust, as well as geothermal and rheological studies in combination with the deep electromagnetic soundings – a promising direction that allows the tectonophysical reconstruction of natural stresses in the lithosphere. The experimental study results and tectonophysical modeling are discussed in the context of the Fennoscandinavian shield, the Indian Craton, the Himalayas, Eastern Tibet and the Eurasian continent as a whole. The book appeals to researchers interested in solid Earth physics. Physics and astronomy SPR202001 SzGeCERN Other Fields of Physics SPR Geology—Statistical methods SPR Quantitative Geology BOOK Zhamaletdinov, Abdullkhay ed. Rebetsky, Yury ed. 202001 SPR n 202002 21 PUBLIC https://catalogue.library.cern/legacy/2706849 BOOK MIGRATED 2706785 SzGeCERN 20210421201141.0 9789811514760 electronic version electronic version print version 9789811514753 print version 9789811514777 print version 9789811514784 DOI 10.1007/978-981-15-1476-0 ebook oai:cds.cern.ch:2706785 cerncds:BOOK eng QA276-280 519.5 23 Statistical methods and applications in forestry and environmental sciences Singapore Springer 2020 ebook Forum for interdisciplinary mathematics 2364-6748 Chapter 1. Measurement, Data and Statistics: A Historical Voyage in Indian Forestry -- Chapter 2. National Forest Inventory in India: Developments Towards a New Design to Meet Emerging Challenges -- Chapter 3. Internet of Things in Forestry and Environmental Sciences -- Chapter 4. Inverse Adaptive Stratified Random Sampling -- Chapter 5. Improved Nonparametric Estimation Using Partially Ordered Sets -- Chapter 6. Bayesian Inference of a Finite Population Mean Under Length-Biased Sampling -- Chapter 7. Calibration Approach Based Estimators for Finite Population Mean in Multistage Stratified Random Sampling -- Chapter 8. A Joint Calibration Estimator of Population Total Under Entropy Distance Function Based on Dual Frame Surveys -- Chapter 9. Fusing Classical Theories and Biomechanics Into Forest Modelling -- Chapter 10. Statistical Multivariate Methods for Decision Making in Classification of Water Quality Data and Management of Water Resources -- Chapter 11. Investigating Selection Criteria of Constrained Cluster Analysis: Applications in Forestry -- Chapter 12. Ridge Regression Model for the Estimation of Total Carbon Sequestered by Forest Species -- Chapter 13. Some Investigations on Designs for Mixture Experiments with Process Variable -- Chapter 14. Development in Copula Applications in Forestry and Environmental Sciences -- Chapter 15. Forest Cover Type Prediction Using Model Averaging -- Chapter 16. Small Area Estimation for Skewed Semicontinuous Spatially Structured Responses -- Chapter 17. Small Area Estimation for Total Basal Cover in the State of Maharashtra, India -- Chapter 18. Estimation of Abundance of Asiatic Elephants in Elephant Reserves of Kerala State, India -- Chapter 19. Exploration of Metagenomics Tools for Analysis of Forest Soil Microbial Diversity and its Annotation -- Chapter 20. Integrated Survey Scheme to Capture Forestry Related Data in Bangladesh: Beyond the Traditional Approach. This book presents recent developments in statistical methodologies with particular relevance to applications in forestry and environmental sciences. It discusses important methodologies like ranked set sampling, adaptive cluster sampling, small area estimation, calibration approach-based estimators, design of experiments, multivariate techniques, Internet of Things, and ridge regression methods. It also covers the history of the implementation of statistical techniques in Indian forestry and the National Forest Inventory of India. The book is a valuable resource for applied statisticians, students, researchers, and practitioners in the forestry and environment sector. It includes real-world examples and case studies to help readers apply the techniques discussed. It also motivates academicians and researchers to use new technologies in the areas of forestry and environmental sciences with the help of software like R, MATLAB, Statistica, and Mathematica. Mathematics and statistics SPR202001 SzGeCERN Mathematical Physics and Mathematics SPR Forestry BOOK Chandra, Girish ed. Nautiyal, Raman ed. Chandra, Hukum ed. SPR n 202002 202001 21 PUBLIC https://catalogue.library.cern/legacy/2706785 BOOK MIGRATED 2706771 SzGeCERN 20210421201143.0 9783030347024 electronic version electronic version print version 9783030347017 print version 9783030347031 print version 9783030347048 DOI 10.1007/978-3-030-34702-4 ebook oai:cds.cern.ch:2706771 cerncds:BOOK eng QA276-280 519.5 23 Disease prevention and health promotion in developing countries Cham Springer 2020 ebook Part I. Burden of Disease, Health Equity and Social Determinants of Health -- Chapter 1. The Double Burden of CDs and NCDs in Developing Countries -- Chapter 2. The Alarming Increase of NCDs in the Arab -- Chapter 3. Health Inequity and Territorial Disparity -- Chapter 4. Social Determinants of Health in People with Diabetes in Four Countries of the Gulf -- Chapter 5. Socioeconomic Inequalities, Health Inequity and Territorial Disparity in Morocco -- Chapter 6. Under-Five Mortality in Sudan: Social Determinants and Health Equity -- Chapter 7. The Evidence Based Applied to Cancer Prevention -- Chapter 8. The Role of Environmental Health in Reducing Chronic or Non-communicable Diseases Through a Healthy Lifestyle: Case of Morocco -- Chapter 9. Overweight and Obesity Among Various Age Groups in North African Region: The Role of Physical Inactivity and Sedentary Behaviour as Key Contributing Factors -- Chapter 10. Challenges of Sustainable Development in Developing Countries -- Chapter 11. Health Equity: a Challenge of the 21st Century -- Part II. Mathematical Modelling, Epidemiological Studies and Estimation of Direct and Indirect Cost of Diseases -- Chapter 12. A Review of Mathematical Models Used in Diabetology -- Chapter 13. Modelling for Growth Hormone, Beta-cells, Glucose, Insulin and FFA -- Chapter 14. : A Discrete Mathematical Model of Tumour Therapy -- Chapter 15. A Model of Dengue Fever: An Optimal Control Approach -- Chapter 16. Analysis of Data on Diabetes from the Gulf COAST Database -- Chapter 17. Statistical Analysis of Health in Arab Countries -- Chapter 18. Epidemiology and Cost of Diabetes in Arab Countries. This book brings together two important discussions in public health in developing countries: an understanding of the burden of disease, health equity and social determinants of health; and biomathematical models, epidemiological studies and estimation of the direct and indirect cost of disease. The empirical chapters in the first part discuss aspects of disease prevention and health promotion in developing countries, with a particular focus on countries that are part of the World Health Organization’s Eastern Mediterranean Region and the African Region. World. Health equity and social determinants of health constitute a cornerstone of this book, with the widespread recognition that addressing the social determinants of health is crucial not only for improving general health but importantly for reducing unfair and remediable health inequalities. Using mathematical models, epidemiological studies and statistical estimation of costs, the second part of this book shows the opportunities that exist for developing countries to prevent disease and promote health by adopting cost-effective strategies and cost–benefit analyses. Mathematics and statistics SPR202001 SzGeCERN Mathematical Physics and Mathematics SPR Health promotion SPR Economic development SPR Health Promotion and Disease Prevention SPR Development and Health BOOK Boutayeb, Abdesslam ed. SPR n 202002 202001 21 PUBLIC https://catalogue.library.cern/legacy/2706771 BOOK MIGRATED 2706769 SzGeCERN 20210421201144.0 9783030340179 electronic version electronic version 9783030340162 print version 9783030340186 print version 9783030340193 print version DOI 10.1007/978-3-030-34017-9 ebook oai:cds.cern.ch:2706769 cerncds:BOOK eng QC801-809 23 550 Akram, Jubran Understanding downhole microseismic data analysis with applications in hydraulic fracture monitoring Cham Springer 2020 ebook 1. Introduction -- 2. Why this Survey? -- 3. Preparing for the Survey -- 4. Field Acquisition -- 5. Elements of a Processing Workflow -- 6. A Case Study Example of Single-well Recording -- 7. A Case study Example of Multi-well Recording -- 8. Understanding the value. . This book is designed as an excellent resource text for students and professionals, providing an in-depth overview of the theory and applications of downhole microseismic monitoring of hydraulic fracturing. The readers will benefit greatly from the detailed explanation on the processes and workflows involved in the acquisition design modeling, processing and interpretation of microseismic data. Physics and astronomy SPR202001 SzGeCERN Other Fields of Physics SPR Geophysics SPR Fossil fuels SPR Structural geology SPR Geophysics and Environmental Physics SPR GeophysicsGeodesy SPR Fossil Fuels (incl Carbon Capture) SPR Structural Geology BOOK 202001 SPR n 202002 21 PUBLIC https://catalogue.library.cern/legacy/2706769 BOOK MIGRATED 2706756 SzGeCERN 20210421201147.0 9789811399015 electronic version electronic version 9789811399008 print version 9789811399022 print version 9789811399039 print version DOI 10.1007/978-981-13-9901-5 ebook oai:cds.cern.ch:2706756 cerncds:BOOK eng QC1-999 23 530 von Hippel, Frank Plutonium how nuclear power’s dream fuel became a nightmare Singapore Springer 2019 ebook 1 Overview -- 2 The dream: a future powered by plutonium -- 3 Civilian plutonium separation and nuclear-weapon proliferation -- 4 Continuation of plutonium separation without breeder reactors -- 5 A much worse accident that almost happened in Fukushima: A fire in a dense-packed spent fuel pool -- 6 Early dry-cask storage: A safer alternative to dense-packed pools and reprocessing -- 7 Deep disposal of spent fuel without reprocessing -- 8 The case for a ban on reprocessing -- Bibliography -- Index. . This book provides a readable and thought-provoking analysis of the issues surrounding nuclear fuel reprocessing and fast-neutron reactors, including discussion of resources, economics, radiological risk and resistance to nuclear proliferation. It describes the history and science behind reprocessing, and gives an overview of the status of reprocessing programmes around the world. It concludes that such programs should be discontinued. While nuclear power is seen by many as the only realistic solution to the carbon emission problem, some national nuclear establishments have been pursuing development and deployment of sodium-cooled plutonium breeder reactors, and plutonium recycling. Its proponents argue that this system would offer significant advantages relative to current light water reactor technology in terms of greater uranium utilization efficiency, and that separating out the long-lived plutonium and other transuranics from spent fuel and fissioning them in fast reactors would greatly reduce the duration of the toxicity of radioactive waste. However, the history of efforts to deploy this system commercially in a number of countries over the last six decades has been one of economic and technical failure and, in some cases, was used to mask clandestine nuclear weapon development programs. Covering topics of significant public interest including nuclear safety, fuel storage, environmental impact and the spectre of nuclear terrorism, this book presents a comprehensive analysis of the issue for nuclear engineers, policy analysts, government officials and the general public. . Physics and astronomy SPR202001 SzGeCERN Engineering SPR Physics SPR Energy SPR Nuclear energy SPR Nuclear chemistry SPR Science—Social aspects SPR Popular Science in Physics SPR Popular Science in Energy SPR Nuclear Energy SPR Nuclear Chemistry SPR Societal Aspects of Physics, Outreach and Education BOOK Takubo, Masafumi Kang, Jungmin 202001 SPR n 202002 21 PUBLIC https://catalogue.library.cern/legacy/2706756 BOOK MIGRATED 2711161 SzGeCERN 20210421200926.0 9783319790510 electronic version electronic version 9783319790503 print version oai:cds.cern.ch:2711161 cerncds:BOOK EBL 5435271 eng HF4999.2-6182 658.4038 Matos, Florinda Intellectual capital management as a driver of sustainability perspectives for organizations and society Cham Springer International Publishing 2018 252 p ebook Intro -- Preface -- IC Management as a Driver of Sustainability -- Thinkers Testimonials -- Nick Bontis -- José Maria Viedma -- Ahmed Bounfour -- About the Book -- Contents -- About the Authors -- Chapter 1: Introduction -- 1.1 Sustainability -- 1.2 Main Objectives and Investigation Questions -- 1.3 Book Overview -- References -- Part I: Theories and Models -- Chapter 2: The Relationship Between Intellectual Capital and Sustainability: An Analysis of Practitioner´s Thought -- 2.1 Introduction and Research Question -- 2.2 Research Method -- 2.3 Results -- 2.4 IC and Financial Sustainability Relationship -- 2.5 IC and Social Sustainability Relationship -- 2.6 IC and Environmental Sustainability Relationship -- 2.7 Conclusion -- References -- Chapter 3: Intellectual Capital as a Driver to Science, Technology and Innovation Strategies -- 3.1 Introduction -- 3.2 Coproduction -- 3.3 Perception Analysis -- 3.4 Guiding Models -- 3.4.1 Global Competitiveness Index -- 3.4.2 European Innovation Scoreboard -- 3.4.3 The Atlas of Economic Complexity -- 3.5 The Intellectual Capital -- 3.6 A Framework to STandI Coproduction Planning -- 3.6.1 Methodological Procedures -- 3.6.2 Dynamics of Coproduction -- 3.6.3 Content Proposal Analysis -- 3.6.4 Proposal Classification into Intellectual Capital and Governance Dimensions -- 3.6.5 Proposals Prioritization -- 3.7 Framework Application: STandI Coproduction Plan in a Brazilian State -- 3.7.1 The Regional Meetings Agenda -- 3.7.2 The Perception STandI Analysis -- 3.7.3 The Coproduction of STandI Proposal -- 3.7.4 The STandI Proposal Content Analysis and Classification -- 3.7.5 The STandI Strategic Map -- 3.8 Final Remarks -- References -- Chapter 4: Intellectual Capital and Innovation for Sustainable Smart Cities: The Case of N-Tuple of Helices -- 4.1 Introduction -- 4.2 Smart Cities. 4.2.1 Smart Cities Intellectual Capital (SCIC) -- 4.2.2 Smart Cities Innovation Process -- 4.2.3 Physical Modelling -- 4.2.4 Modelling Innovation Process. Models of N-Tuple of Helices -- 4.3 Sustainability -- 4.4 Relations Between IC, IP, and S -- 4.5 Conclusion -- References -- Chapter 5: Intellectual Capital and Creative Economy as Key Drivers for Competitiveness Towards a Smart and Sustainable Develo... -- 5.1 Introduction -- 5.2 Better Understanding the Key Relation Between Intellectual Capital, the Creative Economy and Sustainable Development -- 5.2.1 Why Did the Connection Between IC and CE Become Increasingly Important in the Context of a Smart, Sustainable and Inclus... -- 5.2.2 Why Is It Relevant to Estimate IC and CE Contributions for Competitiveness and Sustainable Development? -- 5.3 Benchmarking Methodologies Specific to Creative Economy and Knowledge and Innovation Based Society -- 5.3.1 Beyond GDP Benchmarking Methodology -- 5.3.1.1 Social Progress Index (SPI) -- 5.3.2 The Global Creativity Index GCI and European Innovation Scoreboard EIS, as Key Relevant Benchmarking Methods for Creativ... -- 5.3.3 The Cultural-Creative Cities Monitor C3 -- 5.4 Designing Effective Regional, National and Local Strategies for Estimating the Role of IC and CE for Sustainable Developme... -- 5.4.1 EU´s Efforts in Enhancing Intellectual Capital and the Creative Economy´s Potential for Sustainable Development -- 5.4.2 Creative Britain: Best Practice Example of How We Can Map the Cultural-Creative Industries -- 5.4.3 The Case of Romania -- 5.4.3.1 Measuring the Cultural Vitality of Cities -- 5.4.3.2 Assessing the Economic Contribution of Different Creative Activities -- 5.4.3.3 The Cultural-Creative Cities Monitor C3 in the Case of Romania -- 5.4.3.4 Good Practices for Mapping Cultural-Creative Industries -- 5.5 Limits of Our Research. 5.6 Conclusions and Brief Recommendations -- 5.7 Future Perspectives for Research -- References -- Part II: Cases and Applications -- Chapter 6: Happy Employees Make Happy Customers: The Role of Intellectual Capital in Supporting Sustainable Value Creation in ... -- 6.1 Introduction -- 6.2 Sustainable Value Creation Through Intellectual Capital -- 6.2.1 Intellectual Capital and Customer Value -- 6.2.2 Intra-organizational Social Sustainability as an Enabler of Value Creation -- 6.3 Methodological Design -- 6.3.1 Sample and Data Collection -- 6.3.2 Measures -- 6.4 Results -- 6.4.1 Measurement Model -- 6.4.2 Research Model -- 6.5 Conclusions and Implications -- 6.5.1 Limitations and Future Outlook -- Appendix: Measurement Items -- References -- Chapter 7: Intellectual Capital Management and Sustainability Activities in Brazilian Organizations: A Case Study -- 7.1 Introduction -- 7.2 Intellectual Capital Management -- 7.3 Intellectual Capital Management for the Development of Sustainability Shares -- 7.4 Method -- 7.4.1 Population and Sample -- 7.4.2 Research Validity and Reliability -- 7.4.3 Data Collection and Analysis -- 7.5 Data Analysis -- 7.6 Final Comments -- References -- Chapter 8: Visualization of IC for Improving Green Innovations in SMEs -- 8.1 Introduction -- 8.2 Theoretical Background -- 8.2.1 Small and Medium-sized Enterprises and Its Relevance -- 8.2.2 IC and Its Management -- 8.2.3 Visualization of IC -- 8.2.4 Innovation -- 8.2.5 Green Innovation -- 8.3 Bringing All Together: Visualizing IC for Improving Green Innovations in Smaller Firms -- 8.4 Conclusions -- References -- Chapter 9: The Role of an Eco-Knowledge Hub in Leveraging Intellectual Capital Green Governance -- 9.1 Introduction -- 9.2 Theoretical Background: The Green Intellectual Capital Pillars. 9.3 Sustainability and Green IC: The Range of Associations in Various Scenarios -- 9.4 Organizational Maturity Endowment of Building Green Governance Identity Partnerships -- 9.5 Research Method -- 9.5.1 Survey Design -- 9.5.2 Sampling -- 9.5.3 Collecting Data Procedure -- 9.5.4 Data Analysis -- 9.6 Discussion -- 9.7 Key Findings, Implications, Limitations: Future Work -- References -- Chapter 10: Intellectual Capital Sustainability in Brazilian Public Higher Education -- 10.1 Introduction -- 10.2 Literature Review -- 10.2.1 The Concept of Intellectual Capital -- 10.2.2 Intellectual Capital in Higher Education -- 10.2.3 Indicators of Intellectual Capital in Higher Education -- 10.3 Methodology -- 10.4 Empirical Investigation -- 10.4.1 Pre-analysis -- 10.4.1.1 Results of the Pre-analysis of the Management Reports -- 10.4.1.2 Impressions and Orientations After the Pre-analysis -- 10.4.2 Complete Collection -- 10.4.2.1 Results of the Relative Frequency of Categories and Indicators -- 10.4.2.2 Maximum, Minimum and Average Frequency Results -- 10.4.2.3 Evidence Results and Universities -- 10.5 Conclusions -- References -- Chapter 11: A Visual Representation of Technology Transfer Office Intellectual Capital Access -- 11.1 Introduction -- 11.2 Literature Review -- 11.2.1 University Intellectual Capital (IC) and Technology Transfer -- 11.2.2 Performance of TTOs -- 11.2.3 Visualization of IC -- 11.3 Methodology -- 11.3.1 Research Tool -- 11.3.2 Data Collection -- 11.4 Results and Discussion -- 11.4.1 Example 1: Mission Statement -- 11.4.2 Example 2: Organizational Structure -- 11.5 Conclusions -- References -- Chapter 12: National Intellectual Capital Influence on Innovation and Sustainability -- 12.1 Introduction and Objectives -- 12.2 Literature Synthesis -- 12.3 Data -- 12.4 Methodology and Software -- 12.5 Descriptive Analysis Using Biplots. 12.6 Detecting Causal Relations Using Structural Equations -- 12.6.1 NIC as a Predictor of Innovation and Competitivity -- 12.6.2 NIC as a Predictor of Sustainability -- 12.7 Main Findings, Limitations and Future Work -- References -- Chapter 13: Afterword -- Reference. EBL202002 Information Transfer and Management SzGeCERN EBL Intellectual capital-Management BOOK Vairinhos, Valter Selig, Paulo Maurício Edvinsson, Leif https://cds.cern.ch/auth.py?r=EBLIB_P_5435271 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2711161 BOOK MIGRATED 2711151 SzGeCERN 20210421200928.0 9783319724348 electronic version electronic version 9783319724331 print version oai:cds.cern.ch:2711151 cerncds:BOOK EBL 5419686 eng G1-922 526 Döllner, Jürgen Service-oriented mapping changing paradigm in map production and geoinformation management Cham Springer International Publishing 2018 454 p ebook Lecture notes in geoinformation and cartography Intro -- Preface -- Contents -- Editors and Contributors -- List of Figures -- Exploring a New Paradigm in Map Production -- 1 Changing Paradigm in Map Production and Geoinformation Management-An Introduction -- Abstract -- 1.1 A New Paradigm in Map Production -- 1.1.1 Role of the Map Today -- 1.1.2 Map Production (What Does This Mean Today?) -- 1.1.3 Importance of (Spatial Data Engineering) Geoinformation, Data Integration and Transmission -- 1.1.4 Data Integration and Its Need for Consistent and Time-Appropriate Geolocation -- 1.1.5 Service-Oriented Mapping -- 1.1.6 Concluding the Introduction Section -- 1.2 Exploring a New Paradigm in Map Production and Geoinformation Management -- 1.2.1 Use Cases and Map Applications -- 1.2.1.1 Mapping Environmental Topics -- 1.2.1.2 Mapping Demography -- 1.2.1.3 Mapping Health and Distribution -- 1.2.2 Embedding of Real-Time and X-Domain Information -- 1.2.2.1 Data Integration -- 1.2.2.2 Geoinformation Management -- 1.2.2.3 Data Integration for the Common Good -- 1.2.3 Demand for Enhanced Data and Information Quality -- 1.2.4 User Participation in Map Recording and Design -- 1.2.5 Geospatial Datacubes and Their Perspectives -- 1.2.6 The Data Revolution and Its Consequences -- 1.3 Relevance of the Map Production and Geoinformation Management Paradigm -- 1.3.1 Observing Monolithic Versus Networked Process Chains -- 1.3.2 Potential for Data Integration, Supported Information Compilation and Power of Naive Communication -- 1.3.3 A Geospatial Semantic Web -- 1.3.4 Supporting the Global Sustainable Development -- 1.4 The Main Important and Obvious Requirements Within the New Paradigm -- 1.4.1 Legal and Organisational Challenges -- 1.4.2 Privacy Issues and Disclosure Mechanisms -- 1.4.3 The Role of Administrative Geoinformation -- 1.4.4 Side Effects Induced by Data Integration. 1.4.5 Archiving, Licensing Topics and Sustainable Access -- 1.4.6 The Term Governance for Interrelated Production Infrastructures -- 1.4.7 Cybersecurity Frameworks and Information Security -- 1.4.8 Geospatial Maturity, Education and Their Measurement -- 1.5 Concluding and Arguing the Usefulness of Extending the Way of Thinking in Modern Map Production -- 1.5.1 From the Geovisualisation Point of View -- 1.5.2 From the Data Quality Viewpoint -- 1.5.3 From the Geo-Communication Point of View -- 1.5.4 From a Sustainable Point of View -- 1.5.5 From the Process and Collaboration Point of View -- References -- 2 Service-Oriented Processing and Analysis of Massive Point Clouds in Geoinformation Management -- Abstract -- 2.1 Introduction and Problem Statement -- 2.2 Data Acquisition and System Requirements -- 2.2.1 Data Sources and Characteristics -- 2.2.2 Challenges and System Requirements -- 2.2.3 System Architecture -- 2.3 Service-Oriented Point Cloud Analytics -- 2.3.1 Pipeline Architecture -- 2.3.2 Memory and Resource Management -- 2.4 Point Cloud Visualization -- 2.4.1 Web-Based Rendering -- 2.4.2 Semantic-Based Visualization -- 2.5 Case Studies -- 2.6 Conclusions and Future Work -- Acknowledgements -- References -- 3 Establishing Common Ground Through INSPIRE: The Legally-Driven European Spatial Data Infrastructure -- Abstract -- 3.1 Introduction: The Need for a European Spatial Data Infrastructure -- 3.2 INSPIRE: An Overview -- 3.2.1 Developing the Framework-Legal and Technological Setting -- 3.2.2 Infrastructure Components -- 3.2.2.1 Metadata -- 3.2.2.2 Data Specifications -- 3.2.2.3 Network Services -- 3.2.2.4 Central Components -- 3.2.2.5 Data-Sharing -- 3.2.3 Main Actors and Stakeholder Engagement -- 3.2.4 Implementation and Maintenance -- 3.3 SDI as a Catalyst to Change -- 3.3.1 Data Interoperability -- 3.3.2 Streamlined Data Governance. 3.3.3 Service-Oriented Architecture (SOA) -- 3.3.4 Flexible Technical Development -- 3.3.5 Community of Practice -- 3.3.6 Innovative Apps and Value-Added Services -- 3.4 Discussion and Conclusions -- References -- 4 Evaluating the Efficiency of Various Styles of Distributed Geoprocessing Chains for Visualising 3D Context Aware Wildfire Scenes from Streaming Data -- Abstract -- 4.1 Introduction -- 4.2 Background -- 4.2.1 Wildfire Detection and Alerting -- 4.2.2 Open Geospatial Consortium (OGC) Web Processing Services (WPS) -- 4.2.3 Loose Coupling Through Enterprise Messaging -- 4.3 Research Design -- 4.3.1 Aims, Objectives and Hypothesis -- 4.3.2 Experiment Design -- 4.3.3 Geoprocessing Chain Design -- 4.3.4 Geoprocessing Component Implementations -- 4.3.5 Web Processing Service Configuration-Tightly-Coupled -- 4.3.6 Web Processing Service Configuration-Loosely-Coupled -- 4.3.7 Environment -- 4.4 Results -- 4.5 Discussion -- 4.6 Conclusion -- 4.7 Further Recommendations and Future Work -- References -- 5 Service-Oriented Map Production Environments: The Implementation of InstaMaps -- Abstract -- 5.1 Introduction -- 5.2 InstaMaps, a 'Glocal' Vision (Think Global, Act Local) -- 5.3 Design -- 5.3.1 Simplicity Versus Complexity -- 5.3.2 Features of InstaMaps -- 5.4 Software -- 5.4.1 Free and Open Source Software: FOSS, FOSS4G -- 5.4.2 Architecture -- 5.4.3 Front-End: The Web Client Application -- 5.5 Team -- 5.6 Ecosystem -- 5.6.1 Ecosystem and Other Apps -- 5.6.2 Raster to Vector -- 5.6.3 API -- 5.7 Conclusion -- Acknowledgements -- References -- 6 Depiction of Multivariate Data Through Flow Maps -- Abstract -- 6.1 Introduction -- 6.2 Related Work -- 6.2.1 Flow Mapping -- 6.2.2 Multivariate Visualization and Multivariate Mapping -- 6.2.3 Color Techniques for Multivariate Mapping -- 6.3 Proposed Approach -- 6.3.1 Color Models -- 6.3.2 Flow Representation. 6.3.3 Node Representation -- 6.4 Case Studies -- 6.5 Conclusion and Future Work -- References -- 7 Humanitarian Demining and the Cloud: Demining in Afghanistan and the Western Sahara -- Abstract -- 7.1 Introduction -- 7.2 Mine Action and Humanitarian Demining -- 7.3 Data Management -- 7.4 Collaborative Cloud -- 7.5 Using GIS for Humanitarian Demining Decisions and Mapping -- 7.5.1 Effectiveness of GIS as a Decision Support System (DSS) on a Global Level -- 7.5.2 Effectiveness of GIS as a DSS at Country Level -- 7.5.3 Spatial Decision Support System: Western Sahara Case Study -- 7.5.4 Effectiveness of GIS as a DSS at Tactical and Operational Levels -- 7.6 Spatial Multi-Criteria Decision Analysis Tool -- 7.6.1 Methodology -- 7.6.2 Data Sources -- 7.6.3 Toolbox Components -- 7.6.4 Contribution to Humanitarian Mine Action -- 7.7 Conclusion -- References -- 8 Modern Requirement Framework for Geospatial Information in Security and Government Services -- Abstract -- 8.1 Introduction -- 8.2 Current Work Environments -- 8.3 Hierarchy Levels -- 8.4 Requirements and Examples for Geospatial Information -- 8.4.1 Strategic Level -- 8.4.2 Operational Level -- 8.4.3 Tactical Level -- 8.4.4 Weapon System Level -- 8.5 Discussions and Summary -- Acknowledgements -- References -- Importance and Impact of the New Map Production Paradigm -- 9 Developing a Statistical Geospatial Framework for the European Statistical System -- Abstract -- 9.1 Introduction -- 9.2 A Generic Geospatial-Statistical Data Model for the Production and Dissemination of Statistics -- 9.2.1 The Generic Statistical Business Process Model (GSBPM) -- 9.2.2 Geospatial Information-Its Role in Statistical Production -- 9.3 A Point-Based Geocoding Infrastructure for Statistics -- 9.4 Building and Maintaining Point-Based Geocoding Infrastructure for Statistical Production. 9.5 The Role of Maps in Statistical Production-Examples from Statistics Sweden -- 9.5.1 Maps as Editing Tool and for Quality Control -- 9.5.2 Integration of Geospatial Data and Registers -- 9.5.3 Visualisation of Statistical Results -- 9.6 The European Statistical Geospatial Framework -- 9.6.1 Objective and Setup of the Project GEOSTAT 3 -- 9.6.2 The Framework Principles Through a "European Lens" -- 9.7 Conclusions -- References -- 10 Vizzuality: Designing Purposeful Maps to Achieve SDGs -- Abstract -- 10.1 Introduction -- 10.2 Information Society and the Sustainable Development Goals -- 10.2.1 Consequences of Information Society for Data Production, Management and Dissemination -- 10.2.2 Information Design in the Context of the SDGs -- 10.2.3 Building Purposeful Geospatial Visualisations -- 10.3 Connecting Organizations and People Through Data and Maps -- 10.3.1 Global Forest Watch -- 10.3.2 Trase -- 10.3.3 Global Fishing Watch -- 10.4 A View to the Future of Mapping -- References -- 11 Geospatial Data Mining and Analytics for Real-Estate Applications -- Abstract -- 11.1 Introduction -- 11.2 Related Work -- 11.2.1 The ETL-Process -- 11.2.2 The Need for Data Analysis -- 11.2.3 Econometric Modelling -- 11.2.4 Visualization of Results -- 11.3 Data Acquisition -- 11.3.1 Web Mining, Cleaning, Storing -- 11.3.2 Cleaning and Normalization of Data -- 11.3.3 Geocoding and Imputation -- 11.4 Real Estate Market Parameters -- 11.4.1 Efficiency of Transaction -- 11.4.2 Efficiency of Location-Modelling Proximity -- 11.4.3 Economic Efficiency -- 11.4.4 Information Efficiency-Modelling Transparency -- 11.5 Analysis, Modelling and Visualization of Data -- 11.5.1 Parameters for Modelling of Economic Value -- 11.5.2 Modelling Approaches -- 11.5.3 Spatial, Temporal and Typological Effects -- 11.5.4 Spatial, Temporal and Typological Aggregation. 11.5.5 From Static to Interactive Visualization. EBL202002 Astrophysics and Astronomy SzGeCERN EBL Cartography BOOK Jobst, Markus Schmitz, Peter https://cds.cern.ch/auth.py?r=EBLIB_P_5419686 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2711151 BOOK MIGRATED 2711065 SzGeCERN 20210415211527.0 9780739192016 electronic version electronic version EBL 4458008 eng PE1068.A7D65 2016 428.007105 Haseltine, Patricia Doing English in Asia global literature and culture Lanham Lexington Books 2016 183 p Intro -- Contents -- Preface -- Introduction. Toward a Cosmopolitan Everyman: Cultural Negotiations of English Literature Teachers in East Asia -- PART I. LANGUAGE POLITICS ACROSS ASIA -- Chapter 1. "Exophony" in the Midst of the Mother Tongue: Resources between Languages -- Chapter 2. Unfinished English: Stories from the Other Other -- Chapter 3. Using Chopsticks to Read Knife 'n' Fork English: Teaching American Literature in Taiwan -- PART II. CULTURE AND LANGUAGE STUDY IN TAIWAN -- Chapter 4. Teaching Early British Literature in Southern Taiwan -- Chapter 5. Teaching English Language and Literature in the Asia-Pacific Region: Environmental and Ecocritical Contexts -- Chapter 6. Interacting with "Other" Places in Modern Poetry through Hypermedia -- PART III. DRAMA AND ETHOS BEYOND BORDERS -- Chapter 7. Shakespeare's Cymbeline in the College English Classroom during the Sunflower Student Movement -- Chapter 8. MOOC "Global/Local Shakespeare": New Approaches to Teaching Shakespeare in Taiwan and Beyond -- Chapter 9. Modern Renaissance Education in Taiwan's Departments of Foreign Languages -- Index -- About the Editors and Contributors. This edited collection examines the effect of globalization on the curriculum of Asian universities. As knowledge of the English language has increasingly been understood as necessary to excel in international business, a number of Asian universities have replaced the traditional study of English literature and culture with applied English or English for specified purposes. Contributors to this collection tackle the question of how teachers in Asia should balance the need for their students to understand English culture with the pressure to prepare students for employment in this changing environment. Ma, Sheng-mei Chen, Yilin Cheng, Elyssa Y Haseltine, Patricia Ku, Emerald C L Ma, Sheng-mei Matsumoto, Kazuhito Montoneri, Bernard Oritz, Will P 9780739192009 print version oai:cds.cern.ch:2711065 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4458008 ebook ebook EBL202002 Other Subjects SzGeCERN BOOK n 202007 202002 21 PUBLIC BOOK DELETED 2711050 SzGeCERN 20210202231117.0 9781598887709 electronic version electronic version EBL 4086603 eng T55 658.408 Spellman, Frank R Safety and environmental management 3rd ed. Lanham, MD Bernan Press 2015 363 p spellman -- 9781598887709 -- _GoBack -- _GoBack -- _GoBack -- _GoBack -- _GoBack -- _GoBack -- _GoBack -- _GoBack -- _GoBack -- _GoBack -- _GoBack -- _GoBack -- OLE_LINK1 -- OLE_LINK2 -- _GoBack -- _GoBack -- _GoBack -- _GoBack -- _GoBack -- _GoBack -- _GoBack. What is required to make a workplace safe for employees and legally compliant with the Occupation Safety and Health Administration's regulations? Building on the success of the first two editions of Safety and Environmental Management, this updated and expanded third edition discusses the elements that should be included in any organization's safety plan, including sample plans to help guide managers in creating safety protocols for their own companies. 9781598887693 print version oai:cds.cern.ch:2711050 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4086603 ebook ebook EBL202002 Information Transfer and Management SzGeCERN BOOK n 202007 202002 21 PUBLIC BOOK DELETED 2710968 SzGeCERN 20210421200944.0 9783030035624 electronic version electronic version 9783030035617 print version oai:cds.cern.ch:2710968 cerncds:BOOK EBL 5633953 eng HF4999.2-6182 658.408 Leal Filho, Walter Social responsibility and sustainability how businesses and organizations can operate in a sustainable and socially responsible way Cham Springer 2019 517 p ebook World sustainability Intro -- Preface -- Contents -- Conceptual Frameworks -- Reviewing the Stakeholder Value Creation Literature: Towards a Sustainability Approach -- 1 Introduction -- 2 Collection and Analysis of Studies on Stakeholder Value Creation -- 3 Narratives of Stakeholder Value Creation -- 3.1 Focal Firm Orientation and the Economic Value Perspective -- 3.2 Stakeholder Orientation and the Economic Value Perspective -- 3.3 Focal Firm Orientation and the Multiple Value Perspective -- 3.4 Stakeholder Orientation and the Multiple Value Perspective -- 4 Discussion -- 5 Conclusions -- Appendix -- References -- Innovative Approaches to Organisational Sustainability: State-of-the-Art and Conceptual Framework -- 1 Introduction -- 2 Methods -- 3 Organisational Sustainability -- 3.1 Theoretical Landscape: Research Fields and Theories -- 3.2 Conceptual Definition of Corporate and Organisational Sustainability -- 3.3 Sustainability Dynamics -- 3.4 Stakeholders and Global Governance -- 4 Sustainability Management in Organisations -- 4.1 Strategic Level -- 4.2 Tactical Level -- 4.3 Operational Level -- 4.4 Performance Measurement and Tools -- 5 Conceptual Framework on OS -- 6 Conclusion -- References -- Focusing Sustainable Human Resource Management-Framework for Sustainability Management in Research Organizations -- 1 Introduction: The Scientific System as Responsible for Sustainability -- 2 The Project LENA-Guidelines for Sustainability Management: Common Understanding and Social Mission -- 3 Principles of Sustainability Management in Non-university Research Institutions -- 4 Management of Sustainability in Organizational Contexts -- 5 Focusing Sustainable Human Resource Management: Interpretation of the Concept of Sustainability and Its Necessity in the Scientific System -- 6 About the Method in the Field: Interpretations of Sustainability in Human Resource Management. 7 Three Pillars of Sustainable Human Resources Management in Non-university Research Institutions -- 8 Conclusion: From Common Vision to Implementation -- References -- Knowledge, Values and Attitudes Towards Marine Protected Areas in Gozo (Malta) -- 1 Introduction -- 2 MPAs in Malta -- 3 Management of MPAs in Malta -- 4 Education and MPA's -- 5 Methodology -- 6 Sampling Strategy -- 7 Limitations of the Study -- 8 Results -- 9 Awareness -- 10 Education -- 11 Environment Consciousness -- 12 Economic Value -- 13 Cultural Activity -- 14 Recommendations -- 15 Further Studies -- 16 Conclusion -- References -- Social Projects and the Internalization of Sustainability and Social Responsibility: Concepts for the Improvement of Quality of Life -- 1 Introduction: Socioenvironmental Issues and Sustainable Development -- 1.1 Sustainability and Social Responsibility -- 1.2 Bom Jesus dos Perdões, São Paulo/Brazil: Local Problems, Violence and Crimes -- 2 Social Projects to Improve Quality of Life -- 2.1 Voluntary Social Work with Children and Adolescents at Risk -- 2.2 Integrated Management Office [Gabinete de Gestão Integrada]-GGI: The Integration of Several Local Institutions Aiming a Joint Management of Public Security -- 3 Conclusion: A New Line of Challenges and Opportunities for Achieving Sustainability -- References -- Enhancing Organizations' Social Responsibility by Workplace Health Promotion? -- 1 Corporate Social Responsibility -- 2 Improving CSR by Workplace Health Promotion -- 3 Networks and the Supply Chain -- 4 Summary and Discussion -- References -- Solidarity and Subsidiarity-How to Widen Access to Higher Education? -- 1 Introduction -- 2 The Power of Pedagogy -- 3 Solidarity and Subsidiarity -- 4 Exclusion Versus Hope -- 5 Conclusions -- References -- An Indigenous 'Right Way' Environmental, Social and Cultural Core-Benefits Verification Standard. 1 Introduction -- 2 Aboriginal Carbon Foundation (AbCF) -- 3 Indigenous to Indigenous Philosophy -- 4 AbCF's Role in Influencing Social Responsibility -- 5 Why Invest in Aboriginal Carbon Farming? -- 6 What Is Carbon Farming? -- 6.1 Purpose of the Core-Benefit Standard -- 7 What Are Core-Benefits? -- 7.1 Core-Benefits Versus Co-benefits -- 7.2 Environmental Core-Benefits -- 7.3 Social Core-Benefits -- 7.4 Cultural Core-Benefits -- 8 Eco-colonialism -- 9 Empowerment Evaluation Model -- 10 Why the Need to Create Something Different? -- 10.1 Whose Capacity Is Being Built? -- 10.2 Skills Development -- 10.3 Why not just Use Existing Standards? -- 11 Conclusion -- References -- Social Responsibility and Sustainability: How Companies and Organizations Understand Their Sustainability Reporting Obligations -- 1 Introduction -- 2 Methodology -- 3 Companies in the Context of Sustainability -- 4 Sustainability Reporting -- 4.1 Linking Sustainability Management and Reporting -- 4.2 Definition and Conceptual Demarcation -- 4.3 Origin and Historical Development -- 4.4 Developments in Sustainability Reporting -- 4.5 Sustainability Reporting Types -- 5 Results and Analysis -- 6 Conclusion and Outlook -- References -- Continuous Application of Preventive Environmental Strategies as a Way to Introduce Social Responsibility in Companies -- 1 Introduction -- 2 Raising Awareness and Building Competency for Social Responsibility by RECP Assessment System -- 3 Methodology for Human Development and Workplace Learning on RECP -- 4 Conclusions and Considerations -- References -- Managing Incomplementarity: Implementing Social Responsibility in Companies -- 1 Introduction: Institutional Incomplementarity of Social Responsibility -- 2 Data and Methodology -- 3 Organisational Strategies -- 4 Management Intentions -- 5 Strategical Patterns -- 6 Conclusion and Integrated Framework. References -- Case Studies -- Sustainability and Green Project Management Skills: An Exploratory Study in the Construction Industry in Dubai -- 1 Introduction -- 2 Green Management: Green Buildings Practice and Sustainability in Project Management -- 3 Elements to be Considered in Green Project Management and Sustainability -- 3.1 Financial Elements in Green Project Management and Sustainability -- 3.2 Skills Required by Sustainable Project Managers -- 3.3 Risks Involved in Sustainable Construction Projects -- 4 Research Method -- 5 Results -- 6 Discussion -- 6.1 Financial Aspects of Green Project Management -- 6.2 Time and Quality Risks -- 6.3 Essential Skills for Green Project Managers -- 7 Conclusion -- 7.1 Implications of the Study -- 7.2 Main Lessons from the Study -- 7.3 Limitations of the Study -- References -- Engaging Employees in Corporate Social Responsibility Projects-A Case Study from the Lufthansa Group Showcasing Experiences and Lessons Gathered in Kenya, Rwanda, Nigeria and Columbia -- 1 Introduction -- 1.1 Corporate Social Responsibility: A Short Review of the Literature -- 1.2 Intended Paper Contribution to Research and Scholarship -- 2 Historical Evolution and Intent of the Lufthansa Group Impact Weeks -- 2.1 Macro Perspectives: Lufthansa Group CSR Strategy and Overall IW Contextual Fit -- 2.2 Micro Perspectives: Evolution, Concept, Procedure and Intentions of the LHG IW -- 3 Case Study Methodological Design Features and Approaches -- 3.1 Case Study Methodological Appropriateness: A Short Overview Discussion -- 3.2 Synthesis and Data Analytical Approaches -- 4 In-Country Implementation and Outcomes -- 4.1 Descriptive Data About the Impact Weeks -- 4.2 Implementation and Outcomes of the IWs in Kenya, Colombia, Rwanda, Nigeria -- 4.3 Sustainable Outcomes and Unexpected Results of IW Programs. 5 Discussion and Interpretation of Results -- 5.1 Analysis of IW Impact: Social, Employee, and Business Impact -- 5.2 Limitations and Future Research -- 6 Summary and Conclusions -- References -- Sustainability Governance in Traditional Crafts Communities: A Project Proposition -- 1 Introduction -- 2 Background -- 3 Sustainability in the Crafts Sector: Some Questions to Be Addressed and a Research Proposition -- 3.1 Methodology -- 3.2 Project Approach and Governance -- 4 Importance of the Research Proposition -- 5 Conclusions -- References -- Trade Tradition and Sustainable Development: A Health Promotion Experience -- 1 Introduction -- 2 Industry and Sustainability -- 3 Methodology -- 4 Results and Analysis -- 4.1 Footwear Manufacture -- 4.2 Economic and Sustainable Development in the Footwear Industry -- 5 Conclusion -- References -- Social Responsibility Versus Sustainable Development in United Nations Policy Documents: A Meta-analytical Review of Key Terms in Human Development Reports -- 1 Defining Social Responsibility and Sustainable Development -- 1.1 Study Motivation -- 1.2 Sustainable Development (SD) -- 1.3 Social Responsibility (SR) -- 1.4 Toward Synthesis -- 2 Bringing Social Responsibility and Sustainable Development Together -- 3 Research Contribution, Design and Methodological Considerations -- 3.1 Quantitative Systematic UN HDR Keyword Research -- 3.2 Research Contribution -- 4 Results and Key Findings -- 4.1 Quantitative Results Derived from Systematic UN HDR Keyword Review -- 4.2 Synthesis of Quantitative Results Derived from Systematic UN HDR Keyword Reviews -- 5 Discussion, Analysis, Synthesis: A Discourse on Social Developmental Perspectives Is Urgently Needed -- 6 Conclusion -- 7 Research Limitations and Opportunities for Further Research -- References -- An Inquiry to Consider CSR in Integrated Management Systems. 1 Introduction-Business Sustainability and Corporate Social Responsibility. EBL202002 Information Transfer and Management SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5633953 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2710968 BOOK MIGRATED 2710951 SzGeCERN 20210421200946.0 9789811311963 electronic version electronic version 9789811311956 print version oai:cds.cern.ch:2710951 cerncds:BOOK EBL 5629356 eng GE1-350 658.4083 Hu, Allen H Technologies and eco-innovation towards sustainability II eco design assessment and management Singapore Springer 2019 367 p ebook Intro -- Contents -- Part I: Social Aspects in Eco-Design and Sustainable Consumption -- Chapter 1: Perspectives of Knowledge Translation Within Sustainable Product Development -- 1.1 Introduction -- 1.2 Knowledge, Innovation, and Mode of Creation -- 1.2.1 Types of Knowledge and Their Creation -- 1.2.2 Invention and Innovation -- 1.3 Processes Putting Knowledge into Action -- 1.3.1 Knowledge Translation and Transfer -- 1.3.2 Knowledge Brokering and Interaction -- 1.4 Innovation Pathways and Organized Knowledge Flows -- 1.4.1 Outline -- 1.4.2 Learning, Unlearning, and Innovation Adoption -- 1.4.3 Knowledge Organization and Representation -- 1.4.3.1 Documentation of Knowledge -- 1.4.3.2 Mapping of Knowledge Contents and Structures -- 1.4.3.3 Mapping of Knowledge Sources, Assets, and Skills -- 1.5 Conclusions -- References -- Chapter 2: Rethinking Sustainability Assessment: Incorporating the Ethical Dimension into Decision-Making -- 2.1 Introduction -- 2.2 Current Status of Sustainability Assessment and Its Potential Flaws -- 2.3 Incorporating the Ethical Dimension -- 2.3.1 Sustainability Assessment: Correlation Between Concept and Practice -- 2.3.2 Evolving Views on Human-Environment Relationship -- 2.3.3 Environmental Virtue Ethics -- 2.4 Conclusion -- References -- Chapter 3: Development of an Environmental Management System Framework for Hong Kong Higher Education Institutions -- 3.1 Background and Research Case -- 3.2 Interrelationship Between Dynamic Capability and ISO 14001 -- 3.2.1 Sensing/Seizing Capability -- 3.2.2 Reconfiguration Capability -- 3.3 The Research Model, the Outcome, and the Framework Development -- 3.3.1 Leadership -- 3.3.2 Planning -- 3.3.3 Support -- 3.3.4 Documentation -- 3.3.5 Operational Procedures -- 3.3.6 Performance Review and Seeking Improvement -- 3.3.7 Plan -- 3.3.8 Do -- 3.3.9 Check -- 3.3.10 Act. 3.4 Conclusion and the Next Stage -- References -- Chapter 4: Exploring the Environmental Movement for the Preservation of Big Trees: A Case Study of Urban Areas in Thailand -- 4.1 Introduction -- 4.2 Objective -- 4.3 Methodology -- 4.4 Results -- 4.4.1 History -- 4.4.2 Concept and Procedures -- 4.4.3 Social Impact -- 4.5 Summary -- References -- Chapter 5: Residents' Reactions Against Renewable Energy Facilities and Influence of Willingness of Investment -- 5.1 Introduction -- 5.2 Effect of Ownership on Residents' Reactions -- 5.2.1 Investigation in Rokkasho-mura -- 5.2.2 Results of the Questionnaire -- 5.3 New Surveys at Wind Turbine Sites -- 5.3.1 Focused Problems -- 5.3.1.1 Destruction of Landscape -- 5.3.1.2 Damage on Ecosystem -- 5.3.1.3 Noise -- 5.3.1.4 Low-Frequency Vibration -- 5.3.1.5 Accident -- 5.3.2 Visitors' Perceptions -- 5.3.3 Residents' Perceptions -- 5.3.4 Comparison and Discussions -- 5.4 Relation Between Willingness of Investment -- 5.4.1 Residents' Case -- 5.4.2 Visitors' Case -- 5.4.3 Discussion -- 5.5 Summary -- References -- Chapter 6: Sustainable Integration in Industrial Design Education: A Case Study of Japanese Universities -- 6.1 Introduction -- 6.2 The Activities of Sustainable Development in the Academic Fields in Japanese Universities -- 6.3 The Literature of Industrial Design Education for Sustainability in Japanese Universities -- 6.4 Research Objectives -- 6.5 Research Methods -- 6.6 Results -- 6.6.1 Overview of Japanese Product Design Course with Sustainability Considerations -- 6.7 Discussion -- 6.8 Conclusion -- References -- Chapter 7: Attributes of Carbon Labelling to Drive Consumer Purchase Intentions -- 7.1 Introduction -- 7.2 Carbon Footprint Labelling Implementation in Australia -- 7.3 Communication of Carbon Footprint Labelling -- 7.4 Cue Utilisation Theory and Research Model. 7.5 Discussion and Conclusion -- References -- Chapter 8: Development of a Municipal Waste Management System from Environmental and Economic Evaluation Perspectives: A Best Available System Methodology -- 8.1 Introduction -- 8.2 Concept of BAS Methodology -- 8.3 Outline of ELP Integrated Index -- 8.4 Methodology of BAS -- 8.4.1 Evaluation Flow -- 8.4.2 Waste Components and Chemical Elements Setting -- 8.4.3 Building LCA Databases -- 8.4.3.1 Building a Database of Incineration Treatment and Setting Default Values -- 8.4.3.2 Building Database of Incineration Power Generation and Setting Default Values -- 8.4.3.3 Building Database of Emission Gas Treatment and Setting Default Value -- 8.5 Application of BAS Methodology in Municipalities -- 8.5.1 Evaluation Background -- 8.5.2 Evaluation of Current Treatment -- 8.5.3 Case Study -- 8.6 Summary -- References -- Part II: Sustainable Manufacturing and 3R Technologies -- Chapter 9: Life Cycle Assessment-Directed Optimization of Hydrogen Sulfide Removal During Biomass-Derived Hydrogen Production -- 9.1 Introduction -- 9.2 Experimental -- 9.2.1 Chemical Adsorbents -- 9.2.2 Physical Adsorbents -- 9.2.3 Desulfurization Tests -- 9.2.4 Gas Analysis -- 9.2.5 Effectiveness of the Chemical Adsorbents -- 9.2.6 Effectiveness of the Physical Adsorbents -- 9.3 Process Modeling -- 9.3.1 System S1 -- 9.3.2 System S2 -- 9.3.3 Modeling -- 9.4 Life Cycle Assessment -- 9.4.1 Definition of the System Boundary -- 9.4.2 Raw Material, Chipping, and Transportation to the Plant (SS1) -- 9.4.3 Bio-H2 Production System (SS2, SS3) -- 9.5 Environmental Impact Assessment -- 9.6 Conclusion -- References -- Chapter 10: Sustainable Application of Biopolymer -- 10.1 Introduction -- 10.2 Experimental Setup -- 10.2.1 Biocompatibility -- 10.2.2 Film Preparation -- 10.2.3 Self-Healing -- 10.2.4 Anticorrosion -- 10.2.5 Tribological Performance. 10.2.6 Property Analysis -- 10.3 Results and Discussion -- 10.3.1 SWOT Analysis for Biopolymer Application -- 10.3.2 Biocompatibility -- 10.3.3 Self-Healing -- 10.3.4 Anticorrosion -- 10.3.5 Tribological Performance -- 10.3.6 Ease of Assessment -- 10.4 Summary -- References -- Chapter 11: Implementation of an Energy Metering System for Smart Production -- 11.1 Introduction -- 11.2 State of the Art -- 11.2.1 Digitization -- 11.2.2 Smart Manufacturing and Industry 4.0 -- 11.2.3 Digital Product Twins and Digital Factory Twins -- 11.2.4 Energy Metering in Production Systems -- 11.3 The Demonstrator Cell "Smart Factory" -- 11.4 Implementation of the Energy Metering System -- 11.5 Testbed and Research Design -- 11.6 Discussion of Results -- 11.7 Procedure for the Implementation of an Energy Metering System -- 11.8 Conclusion -- References -- Chapter 12: Quality Assessment of Plastic Recyclates from Waste Electrical and Electronic Equipment (WEEE): A Case Study for Desktop Computers, Laptops, and Tablets -- 12.1 Introduction -- 12.2 Materials -- 12.2.1 Case Study: Desktop Computer Housings, Laptop Back Covers, and Tablet Housings -- 12.2.2 Sampling -- 12.2.3 Fourier Transform Infrared (FTIR) Spectroscopy -- 12.3 Methods -- 12.3.1 Quality of Plastics from Waste Electrical and Electronic Equipment -- 12.3.1.1 Purity -- 12.3.1.2 Condition -- 12.3.1.3 Effects of Material Defects -- 12.4 Results -- 12.4.1 Composition of Materials -- 12.4.2 Separation Properties of Materials -- 12.4.3 Product Design -- 12.4.4 Chemically Aged Content -- 12.4.5 Physically Aged Content -- 12.4.6 Compatibility -- 12.5 Summary and Conclusion -- References -- Chapter 13: Design and Control of Remote Operation Devices for Remote Recycling -- 13.1 Introduction -- 13.2 Concept of Remote Recycling -- 13.3 Basic Procedure of Remote Recycling -- 13.3.1 General Procedure. 13.3.2 Design and Prototyping of the Arm -- 13.3.3 Control System -- 13.3.4 Remote Operation Setup -- 13.3.5 Remote Controlling System -- 13.4 Separation Experiment -- 13.4.1 Experiment -- 13.4.2 Experimental Result -- 13.5 Conclusion -- References -- Chapter 14: Examination of Effectiveness of Remote Recycling Through Material Composition Measurement of Used Small Electronics -- 14.1 Introduction -- 14.2 Overview Remote Recycling -- 14.2.1 General Concept -- 14.2.2 Setup of Remote Recycling -- 14.2.3 Tele-operation system -- 14.3 Experimental Results -- 14.3.1 Overview of the Experiment -- 14.3.2 Results of the Experiment -- 14.3.3 Discussion Regarding Metal Recovery -- 14.4 Discussion on Metal Recovery -- 14.5 Conclusions -- References -- Chapter 15: Disassembly Support for Reuse of Mechanical Products Based on a Part Agent System -- 15.1 Introduction -- 15.2 Part Agent System -- 15.3 System for Generating Product Disassembly Instructions -- 15.4 Experiment for Disassembly -- 15.5 Supporting Destructive Disassembly -- 15.6 Conclusion -- References -- Chapter 16: Metal Recovery from Printed Circuit Boards Using CRT Glass by Reduction Melting -- 16.1 Introduction -- 16.2 Experimental -- 16.2.1 Materials -- 16.2.2 Melting Tests -- 16.2.3 Characterization -- 16.2.4 Chemical Thermodynamics Calculations -- 16.3 Results and Discussion -- 16.3.1 Melting Tests -- 16.3.2 Estimates of Elimination Rates of Metals -- 16.3.3 Characterization of the Precipitated Metal Phases -- 16.3.3.1 SEM Observations and EDS Analysis -- 16.3.3.2 ICP-AES Analysis -- 16.3.4 Thermodynamics Calculations for the Metal Recovery -- 16.4 Scenario for e-Waste Treatment by This Method -- 16.5 Summary -- References -- Part III: Sustainable Energy and Policy -- Chapter 17: Diffusion Policy Assessment of Solar Energy -- 17.1 Introduction -- 17.2 Identifying of Terms. 17.3 Methodology and Research Design. EBL202002 Information Transfer and Management SzGeCERN EBL Sustainable development-Management BOOK Matsumoto, Mitsutaka Kuo, Tsai Chi Smith, Shana https://cds.cern.ch/auth.py?r=EBLIB_P_5629356 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2710951 BOOK MIGRATED 2710938 SzGeCERN 20210421200948.0 9783030020958 electronic version electronic version 9783030020941 print version oai:cds.cern.ch:2710938 cerncds:BOOK EBL 5628039 eng TA1-2040 621.382 Jamalipour, Abbas Smartphone instrumentations for public health safety Cham Springer 2018 111 p ebook Wireless networks Intro -- Preface -- Acknowledgment -- Contents -- Nomenclature -- Chapter 1: Introduction -- 1.1 Smartphone Devices and Sensors -- 1.2 Smartphone Instrumentation in Public Health Safety: A Brief Review -- 1.2.1 Smartphone Colorimetry -- 1.2.2 Smartphone Microscopy -- 1.2.3 Smartphone Fluorimetry: Intensity Fluorimeter -- 1.2.4 Smartphone Spectroscopy -- 1.2.5 Other Smartphone Instrumentations -- 1.3 Research Opportunities on the Track -- 1.4 Lab-in-a-Phone: The Technology Outlined in this Book -- Chapter 2: Smartphone Intensity Fluorimeter -- 2.1 Introduction -- 2.2 Basics of Fluorimeter and Components Available in a Smartphone -- 2.3 A Smartphone Intensity Fluorimeter: Materials and Methods -- 2.3.1 Optical Design and Operation -- 2.3.2 Smartphone Data Acquisition Technique -- 2.4 Fluorimeter Design and Fabrication -- 2.5 Chemosensor Material: Properties and Applications -- 2.6 Smartphone Fluorimeter App -- 2.7 Fluorimeter Calibration -- 2.8 pH Measurements of Water -- 2.8.1 Environmental Water -- 2.8.2 Drinking Tap Water -- 2.9 Water Quality Monitoring and Mapping -- 2.10 Summary -- Chapter 3: Temperature-tunable Smartphone Fluorimeter -- 3.1 Introduction -- 3.2 Temperature-tunable Smartphone Intensity Fluorimeter -- 3.2.1 The Fluorimeter Components and Operation -- 3.2.2 3D Design, Fabrication and Packaging -- 3.3 Time-resolved Fluorescence Measuring Smartphone App -- 3.4 Calibration -- 3.4.1 Temperature Calibration -- 3.4.2 Battery Lifecycle -- 3.5 Temperature-dependent Fluorescence Measurements -- 3.5.1 Steady-state Fluorescence Measurements -- 3.5.2 Time-resolved Fluorescence Measurements -- 3.6 Summary -- Chapter 4: Smartphone "Dual" Spectrometer -- 4.1 Introduction -- 4.2 Basics of an Absorption and Fluorescence Spectrometer -- 4.2.1 Dispersive Elements for Smartphone Spectrometer -- 4.3 Smartphone "Dual" Spectrometers. 4.3.1 Optical Layout -- 4.3.2 3D Design and Fabrication -- 4.3.3 Smartphone Spectrometer App -- 4.3.4 Calibration -- 4.3.5 Spectrum Measurements -- 4.3.5.1 Absorption Spectroscopy -- 4.3.5.2 Fluorescence Spectroscopy -- 4.3.5.3 [Zn2+] Detection in Water -- 4.4 Summary -- Chapter 5: Smartphone Optical Fiber Spectrometers -- 5.1 Introduction -- 5.2 Optical Fiber Smartphone Spectrometer -- 5.2.1 Optical Design, Materials and Methods -- 5.2.2 Spectral Calibration -- 5.2.2.1 Wavelength Calibration -- 5.2.2.2 Intensity Calibration -- 5.2.3 Performance Analysis with Slits and a Lens -- 5.2.4 Spectral Measurements -- 5.2.4.1 Visible Absorption Spectroscopy of Apple -- 5.3 Optical Fiber Smartphone Spectrofluorimeter -- 5.3.1 Optical Design and Fabrication -- 5.3.2 Smartphone Application Software -- 5.3.3 Fluorescence Spectroscopy of Olive Oils -- 5.3.3.1 Samples -- 5.3.3.2 Classifications of Oils -- 5.3.3.3 Storage Effects -- 5.3.3.4 Photo-degradation -- 5.3.3.5 Thermal Degradation -- 5.4 Summary -- Bibliography. EBL202002 Engineering SzGeCERN EBL Wireless communication systems EBL Wireless communication systems in medical care BOOK Hossain, Arafat https://cds.cern.ch/auth.py?r=EBLIB_P_5628039 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2710938 BOOK MIGRATED 2710935 SzGeCERN 20210421200948.0 9783319995991 electronic version electronic version 9783319995984 print version oai:cds.cern.ch:2710935 cerncds:BOOK EBL 5628008 eng HF4999.2-6182 658.4/012 Ansoff, H Igor Implanting strategic management 3rd ed. Cham Palgrave Macmillan 2018 588 p ebook Intro -- Acknowledgements -- Contents -- List of Figures -- List of Tables -- Part I Original Concepts of Strategic Management and the Evolution of Management Systems -- 1 Epistemological Underpinnings and Original Concepts of Strategic Management -- The Contingency Perspective -- Simplicity, Complexity, and Requisite Variety -- The Original Concepts of Strategic Management -- Two Styles of Organizational Behavior -- Entrepreneurial Behavior -- Differences in Organizational Profiles -- Strategic and Operations Management -- Summary -- Exercises -- 2 Why Make Strategy Explicit? -- Concept of Strategy -- Strategy and Performance -- When to Formulate Strategy -- Difficulties Encountered in Implanting Strategy Formulation -- Summary -- Exercises -- 3 Evolution of Management Systems -- Evolution of Management Systems -- Long Range Planning and Strategic Planning -- Strategic Posture Management -- Strategic Issue Management -- Weak Signals and Graduated Response -- Strategic Surprise Management -- Choosing the Management System for a Firm -- Managing Complexity -- Summary -- Exercise -- 4 From Strategic Planning to Strategic Management -- Doubts About Strategic Planning -- Does Planning Pay? -- Design of the Study -- Results of the Study -- The Chandlerian Perspective -- Four Stages of Evolution -- Theoretical Underpinnings of Strategic Posture Management -- Summary -- Exercises -- 5 Modes of Strategic Behavior -- Unmanaged Organic Adaptation -- Systematic Planning -- Ad hoc Management -- Choice of Strategic Behavior Mode -- Strategic Learning -- A Map of Strategic Management -- Historical Development -- Environment -- Strategy -- Capability -- Part II Planning Strategic Posture -- 6 Strategic Diagnosis -- Two Key Problems for Strategic Management -- Strategic Success Paradigm -- Strategic Aggressiveness -- Responsiveness of the Firm's Capability. *Strategic Diagnosis -- Short and Long Version of the Strategic Diagnosis -- Validation of the Strategic Success Paradigm -- Conceptual Map of the Book -- Summary -- Exercises -- 7 Concept of Organizational Capability -- Functional Capability -- Evolution of General Management Capability -- Definition of General Management Capability -- General Management Capability Profile -- An Illustrative Example -- Summary -- Exercises -- 8 Diagnosing Future General Management Capability -- The Effect of Strategic Mismatch on Profit Potential -- Differences Between the Long and Short Versions of Strategic Diagnosis -- *Step in a Strategic Diagnosis -- *Diagnosing Turbulence -- *Diagnosing the General Management Capability of the Firm -- *Choosing the Future Capability -- The Multi-capability Problem -- Managing Strategic Posture Transformation -- Summary -- Exercises -- 9 Competitive Posture Analysis in Turbulent Environments -- Strategic Segmentation -- SBA and SBU -- Demand-Technology Life Cycle -- SBA Segmentation -- Strategic Resource Areas -- Strategic Influence Groups -- Strategic Information -- Environmental Surveillance as an Information Filter -- Mentality Filter -- Development of Mentality -- Strategic and Creative Mentalities -- The Power Filter -- A Model of Strategic Information -- Competitive Positioning -- The BCG Matrix -- Estimating SBA Attractiveness -- Estimating Strategic Investment Ratio -- *Determining the Future Effectiveness of Present Strategy -- *Estimating Future Competitive Position -- The GE-McKinsey Matrix -- *Choosing the Preferred Competitive Position -- *Choosing the Competitive Posture -- *Testing the Feasibility of the Preferred Posture -- *Balancing the SBA Portfolio -- Limitation of Competitive Analysis -- Summary -- Exercises -- 10 Dispersed Positioning in Competitive Analysis. The Original Approach to Portfolio Positioning -- Criticism of Point Positioning -- Dispersed Positioning -- Using Dispersed Positioning to Enrich Decision Options -- Strategic Control -- Dispersed Positioning as an Instrument of Cultural Change -- Using Dispersed Positioning in Small and Medium-Sized Firms -- Using Dispersed Positioning in Large Firms -- Summary -- Exercises -- 11 Optimizing the Strategic Portfolio -- Three Approaches to Portfolio Management -- Which Approach to Use -- Portfolio Strategy -- Mission, Goals, and Objectives -- Performance Objectives -- Risk Objectives -- Synergy Objectives -- Social Objectives -- Strategy, Objectives, and Corporate Vision -- Portfolio Scope -- Life Cycle Portfolio Balance -- *Balancing Life Cycle Positions -- Functional Synergy -- *Choosing Functional Synergy -- Synergy Among Strategies -- *Choosing Strategy Synergy -- Management Synergy -- Formulating Coherence Strategy -- Portfolio Diversity -- *Analysis of Diversity -- *Choosing Diversity Strategy -- Integrating Sub-strategies -- Alternative Approaches to Portfolio Optimization -- *Selecting the Optimum Strategy -- Overview of Strategic Posture Planning -- 2.6.22 Summary of Techniques for Strategic Analysis -- From Strategy to Action -- Diversification Through Strategic Learning -- 2.6.25 New Workload for General Management -- Summary -- Exercises -- 12 Strategic Dimensions of Technology -- The Role of Technology in Business Strategy -- Emergence of Technology as a Competitive Tool -- Technological Turbulence -- Influence and Role of R&D -- Closing the Gap Between General Managers and Technologies -- *2.7.5 Determining the Impact of Technology on Business Strategy -- Integrating Technology Factors into Competitive Strategy Formulation -- Management Capability for Technology-Intensive Strategies -- 2.7.7 R&D Investment Ratio. 2.7.8 R- vs. D-Intensive Organizations -- 2.7.9 Downstream Coupling -- Product Life Cycle -- Distance to the State of Art -- Summary -- Exercises -- 13 Societal Strategy for the Business Firm -- Introduction -- Evolution of the Social Predicament -- Alternative Scenarios -- Elements of the Legitimacy Strategy -- Aspirations Analysis -- *Impact of Constraints -- *Power Field Analysis -- Analysis of Legitimacy Strategy -- Impact on Business and Social Responsibility Strategies -- Need for New Management Capabilities -- Summary -- Exercises -- 14 Strategic Dimensions of Internationalization -- Distinctive Aspects of Internationalization -- Objectives of Internationalization -- Objectives and Strategic Criteria -- Degrees of Internationalization -- Global Synergies vs. Local Responsiveness -- *Choosing the Strategy -- Shared Authority/Responsibility -- Using a Progressive Commitment Process in Internationalization -- Management Capabilities for Internationalization -- Summary -- Exercises -- Part III Managers, Systems, Structure -- 15 General Managers for Diversified Firms -- Management as a Problem-Solving Cycle -- Manager Archetypes -- General Manager as the Man of the Moment -- The Firm of the Future -- The Work of General Managers -- Developing Expertise in Using Experts -- The Trend Toward Multiple General Managers -- Summary -- Exercises -- 16 Selecting a Management System to Fit the Firm -- Systems and Structure -- Systems vs. Structure -- Implementation Management -- Control Management -- Extrapolative Management -- Entrepreneurial Management -- System Building Blocks -- *Choosing the System for the Firm -- *Quick Readiness Diagnosis -- Roles and Responsibilities in Design and Use of Systems -- Organizational Flow of Planning -- The Human Dimensions of Systems -- Contemporary and Future Trends -- Summary -- Exercises. 17 Designing the Firm's Structure -- Evolution of Structure -- Organizational Responsiveness -- *Determining the Preferred Responsiveness -- Patterns of Responsiveness -- Dimensions of Organizational Design -- The Functional Form -- The Divisional Form -- The Matrix Form -- The Multi-structure -- The Role of the Headquarters -- 3.3.7 Staffs and Overhead Functions -- *Redesigning the Structure -- Summary -- Exercises -- Part IV Real-Time Strategic Response -- 18 Management Response to Surprising Changes -- Introduction -- Basic Model-Decisive Management -- Reactive Management -- Planned Management -- Post-trigger Behaviors -- Comparison of Behaviors -- Summary -- Exercises -- 19 Strategic Issue Management -- Why Strategic Issue Management? -- What Is a Strategic Issue Management System? -- Issue Identification -- *Estimating Impact/Urgency -- *Coupling Opportunities and Threats to Strengths and Weaknesses -- *The Eurequip Matrix -- Periodic Planning and Strategic Issue Management -- The Behavioral Factor -- Summary -- Exercises -- 20 Using Weak Signals -- Why Weak Signals? -- States of Knowledge -- Strong and Weak Signals -- Gaining Acceptance for Weak Signal Management -- Detection of Weak Signals -- *Estimating Impact -- Alternative Response Strategies -- Feasible Responses -- Dynamics of Response -- *Preparedness Diagnosis -- *Opportunity-Vulnerability Profile -- Decision Options -- *Choice Among Periodic Planning, Strong Signal and Weak Signal Management -- Summary -- Exercises -- Part V Managing Strategic Change -- 21 Behavioral Resistance to Change -- Sources of Resistance -- The Phenomenon of Resistance -- Resistance Defined -- Resistance and Rate of Change -- An Illustrative Example -- Resistance by Individuals -- Group Resistance -- Organizational Loyalty -- Perception vs. Reality -- The Cultural-Political Field. Summary of Contributing Factors. EBL202002 Information Transfer and Management SzGeCERN EBL Strategic planning BOOK Kipley, Daniel Lewis, A O Helm-Stevens, Roxanne Ansoff, Rick https://cds.cern.ch/auth.py?r=EBLIB_P_5628008 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2710935 BOOK MIGRATED 2710934 SzGeCERN 20210421200948.0 9783319751405 electronic version electronic version 9783319751382 print version oai:cds.cern.ch:2710934 cerncds:BOOK EBL 5628004 eng GB3-5030 534.52 Le Pichon, Alexis Infrasound monitoring for atmospheric studies challenges in middle atmosphere dynamics and societal benefits 2nd ed. Cham Springer 2018 1168 p ebook Intro -- Foreword -- Preface -- Contents -- Contributors -- Introduction -- Part I Instrumentation, Network and Processing: Instrumentation -- 1 The IMS Infrasound Network: Current Status and Technological Developments -- 1.1 Introduction -- 1.2 The IMS Infrasound Network -- 1.2.1 Overview -- 1.2.2 Data Availability -- 1.2.3 Detection Capability -- 1.3 IMS Infrasound Stations -- 1.3.1 General Description -- 1.3.2 Establishment -- 1.3.3 Sustainability -- 1.4 Array Geometry -- 1.4.1 General Requirements -- 1.4.2 Number of Elements -- 1.4.3 Aperture and Element Distribution -- 1.4.4 Conclusion -- 1.5 Wind-Noise Reduction Systems -- 1.5.1 General Requirements -- 1.5.2 Pipe Arrays -- 1.5.3 Other Methodologies -- 1.6 Infrasound Sensors -- 1.6.1 General Requirements -- 1.6.2 Description -- 1.6.3 Type Approval -- 1.7 Calibration -- 1.7.1 General Requirements -- 1.7.2 Calibration Technique -- 1.7.3 Initial Calibration -- 1.7.4 On-site Calibration -- 1.8 Meteorological Data -- 1.9 Data Acquisition Systems -- 1.9.1 General Requirements -- 1.9.2 Description -- 1.10 Station Infrastructure -- 1.11 Conclusion and Perspectives -- References -- 2 New Generations of Infrasound Sensors: Technological Developments and Calibration -- Abstract -- 2.1 Background -- 2.1.1 Infrasonic Background Noise and Implication on Sensor's Self-noise -- 2.1.2 Pressure Variation Range and Implication on Sensor's Dynamic Range -- 2.1.3 Environmental Constraints -- 2.2 Field-Tested Sensors Descriptions -- 2.2.1 Absolute Sensors Using Sealed Bellows as Pressure-Sensitive Element -- 2.2.1.1 Bellows Mechanical Behavior -- 2.2.1.2 Measurement Cavity and Inlets Acoustical Behavior -- 2.2.1.3 Transducers -- 2.2.2 Piezoelectric Infrasound Sensor -- 2.2.3 Chaparral MEMs-Based Sensors -- 2.3 On Site Calibration of Infrasound Sensors and Stations -- 2.3.1 Introduction. 2.3.2 Remote Calibration of Sensors Using a Magnet and Coil Transducer -- 2.3.3 In Situ Calibration of the Whole Infrasound Station Element -- 2.3.3.1 Configuration -- 2.3.3.2 Response Estimation -- 2.3.3.3 Coherence Screening -- 2.3.3.4 Uncertainty -- References -- 3 New Systems for Wind Noise Reduction for Infrasonic Measurements -- 3.1 Introduction -- 3.2 Fundamentals of Wind Noise Generation by Turbulence -- 3.2.1 The von Kármán Form of Turbulent Spectra -- 3.2.2 Stagnation Pressure Interaction Spectrum -- 3.2.3 Intrinsic Wind Noise -- 3.2.4 Turbulence-Turbulence and Mean Shear-Turbulence Interaction Pressure Spectra in the Flow -- 3.2.5 Wind Noise Levels Measured at the Surface -- 3.3 Reduction of Infrasonic Wind Noise by Windscreening Devices -- 3.3.1 Wind Fence Enclosures -- 3.3.2 Fabric Wind Domes -- 3.3.3 Wind Noise Reduction of Fabric Domes and Wind Fences Relative to the Flush-Mounted Sensor -- 3.3.4 Wind Noise Reduction with Porous Metal Domes -- 3.4 Reduction Theory -- 3.5 Conclusions -- References -- 4 Geoacoustic Observations on Drifting Balloon-Borne Sensors -- 4.1 Introduction -- 4.2 History -- 4.2.1 Recent Progress -- 4.3 Operational Aspects of Free Flying Sensors -- 4.3.1 Flight Systems -- 4.3.2 Environmental Considerations -- 4.3.3 Payload Design -- 4.4 Pressure Signals Recorded During Flight -- 4.4.1 Wind Noise -- 4.4.2 Long Period Oscillations -- 4.4.3 Ocean Microbarom -- 4.4.4 Explosions -- 4.4.5 Other -- 4.5 Noise Sources, Detection Thresholds, and Other Considerations -- 4.5.1 Noise -- 4.5.2 Detection Thresholds -- 4.5.3 Other Considerations -- 4.6 Applications -- 4.6.1 Treaty Verification and Natural Hazards Monitoring -- 4.6.2 Bolide Detection -- 4.6.3 Upper Atmosphere Energetics and Ionospheric Disturbances -- 4.6.4 Signals Inaccessible to Ground Sensors -- 4.6.5 The Exploration of Venus -- 4.7 Conclusions -- References. 5 Measuring Infrasound from the Maritime Environment -- Abstract -- 5.1 Introduction -- 5.2 Advantages of Infrasound Measurements from the Maritime Environment -- 5.2.1 Detection -- 5.2.2 Event Localization and Classification -- 5.2.3 Environmental Assessment -- 5.3 Challenges of Infrasound Measurements from the Maritime Environment -- 5.3.1 Survivability -- 5.3.2 Sensor Motion -- 5.3.3 Wind -- 5.3.4 Multi-element Arrays -- 5.4 Infrasound Sensor Hosts in the Maritime Environment -- 5.4.1 Ships -- 5.4.2 Ocean Buoys -- 5.4.3 Unmanned Surface Vehicles -- 5.5 The Impact of Ocean Heave on Infrasound Data Collection in the Maritime Environment -- 5.5.1 Sea Surface Characteristics -- 5.5.2 Ocean Heave Mitigation -- 5.6 Infrasound Data Collection and Heave Cancellation from Ship-Hosted Infrasound Sensor -- 5.7 Infrasound Data Collection and Heave Cancellation from USV-Hosted Infrasound Sensor -- 5.8 Summary -- Acknowledgements -- References -- Part II Instrumentation, Network and Processing: Processing -- 6 Advances in Operational Processing at the International Data Centre -- 6.1 IDC Operations Review 2010-2017 -- 6.1.1 IDC Processing System -- 6.1.2 Overview of the Results of IDC Automatic and Interactive Analysis -- 6.1.3 IDC Bulletin Highlights -- 6.2 IDC Operational System with Infrasound Technology -- 6.2.1 Performance Review and Updating IDC Procedures -- 6.2.2 Global Network Association Algorithm -- 6.3 Network Performance and Evolution of the Infrasound Processing -- 6.3.1 Network Performance -- 6.4 Concluding Remarks and Potential Future Improvements -- References -- 7 Infrasound Signal Detection: Re-examining the Component Parts that Makeup Detection Algorithms -- Abstract -- 7.1 Introduction -- 7.2 Examining the Component Parts of Detectors -- 7.3 Defining Signal and Noise -- 7.4 Detecting Signals Embedded in Noise. 7.4.1 Tests Based on Construction of a Likelihood Function -- 7.4.2 Tests Based on the Time Difference of Arrival (TDOA) -- 7.4.3 Enhancements to the Classical Approach -- 7.5 Parameter Estimation -- 7.6 Evaluating Detectors -- 7.7 Conclusions -- References -- 8 Explosion Source Models -- Abstract -- 8.1 "All Models Are Wrong, but Some Are Useful". G. Box -- 8.2 Explosion Source Time Functions -- 8.3 Explosion Pulses -- 8.3.1 Friedlander Pulse -- 8.3.2 Hybrid Modified Friedlander Pulse -- 8.3.3 Triangular Approximation -- 8.3.4 G95HE Detonation Pulse with Secondary Oscillation -- 8.3.5 R77HE Reed Pulse -- 8.3.6 Hybrid Granström, Friedlander, and Triangular Pulses -- 8.3.7 B55 Deflagration Pulse -- 8.3.8 G95LE Deflagration Pulse with Secondary Oscillation -- 8.4 Synthesis -- 8.4.1 Some Practical Considerations -- 8.4.2 Standard Blast -- 8.4.3 Blast Magnitudes -- Acknowledgements -- Appendix 1. A Moment or Two -- Appendix 2. Modified Friedlander Pulse Properties -- Appendix 3. Modified Brode Pulse -- Appendix 4. Selected Positive and Negative Pulse Properties for Detonations -- Kinney and Graham (1985) and ANSI S2.20 (1983) Relations for Detonations -- KG85 Positive Pulse Properties -- Overpressure to Underpressure Ratios -- Synopsis -- Appendix 5. Minor Uncle and Distant Image 2 kt Case Studies -- References -- Part III Observations - From Local to Global: Regional Monitoring -- 9 The Antares Explosion Observed by the USArray: An Unprecedented Collection of Infrasound Phases Recorded from the Same Event -- Abstract -- 9.1 Introduction -- 9.2 Observations Network and Recordings Conditions -- 9.2.1 Observation Network -- 9.2.2 Atmospheric Specifications -- 9.2.3 Near-Field Measurements -- 9.2.4 Far-Field Measurements -- 9.2.4.1 Tropospheric Phases -- 9.2.4.2 Stratospheric Phases -- 9.2.4.3 Thermospheric Phases -- 9.2.4.4 Observations Summary. 9.3 Phase Identification and Location -- 9.3.1 Construction of Propagation Tables -- 9.3.2 Extension of Propagation Branches -- 9.3.3 Source Localization -- 9.4 Attenuation of Stratospheric Phases -- 9.4.1 Attenuation of Stratospheric Phases as a Function of Frequency and Ceff-ratio -- 9.4.2 Attenuation of Stratospheric Phases as a Function of Range and Frequency -- 9.5 Discussions and Concluding Remarks -- Appendix -- References -- 10 Characterization of the Infrasonic Wavefield from Repeating Seismo-Acoustic Events -- 10.1 Ground Truth Events -- 10.2 Studies of Repeating Seismo-Acoustic Events -- 10.3 Detecting and Classifying Seismic Events Using Seismic Data -- 10.4 Exploiting Infrasound Ground Truth Events for Atmospheric Modeling and Event Location Calibration -- 10.5 Conclusions -- References -- 11 On the Use of a Dense Network of Seismo-Acoustic Arrays for Near-Regional Environmental Monitoring -- Abstract -- 11.1 Introduction -- 11.2 Korea Infrasound Network (KIN) -- 11.2.1 Locations and Array Configurations -- 11.2.2 Characteristics of Seasonal Variations in Infrasound Detection -- 11.3 Seismo-Acoustic Analysis -- 11.3.1 Discrimination of Surface Explosions -- 11.3.2 Manual and Automated Association of Infrasound Signals with Seismic Events -- 11.3.3 Infrasound Study Using Repetitive Sources -- 11.3.4 Seismic and Acoustic Data Fusion for Seismic Source Identification -- 11.4 Infrasound Observations from Ground Motions -- 11.4.1 Local Infrasound from Earthquakes and Its Application -- 11.4.2 The Utilization of Epicentral and Diffracted Infrasound from UNTs -- 11.5 Summary -- Acknowledgements -- References -- Part IV Observations - From Local to Global: Global Network Calibration -- 12 Large Meteoroids as Global Infrasound Reference Events -- Abstract -- 12.1 Introduction -- 12.2 Infrasound from Meteoroids. 12.3 The Chelyabinsk, Sulawesi, and North Pacific Meteoroid Events. EBL202002 Other Fields of Physics SzGeCERN EBL Infrasonic waves-Measurement EBL Atmospheric waves-Management BOOK Blanc, Elisabeth Hauchecorne, Alain https://cds.cern.ch/auth.py?r=EBLIB_P_5628004 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2710934 BOOK MIGRATED 2710922 SzGeCERN 20210421200950.0 9783319740454 electronic version electronic version 9783319740447 print version oai:cds.cern.ch:2710922 cerncds:BOOK EBL 5627131 eng HF4999.2-6182 658.4058 Lioliou, Eleni Global outsourcing discourse exploring modes of IT governance Cham Palgrave Macmillan 2019 297 p ebook Technology, work and globalization Intro -- Acknowledgements -- Contents -- List of Figures -- List of Tables -- 1: Exploring Outsourcing, Governance, and Discourse -- Introduction -- Global Outsourcing -- Case Studies and the Developing Discourse -- Conditioning the Discourse: Client Learning and Evolution -- The Centrality of Governance -- Introducing Discourse -- Rationale and Structure of This Book -- Chapters of the Book -- References -- 2: The Study of Information Technology Outsourcing -- Introduction -- ITO: Research Developments -- Towards Multi-sourcing -- Relationships as a Major Study Area -- Governance of the Relationship -- Formal Aspect of Governance -- Relational Aspects of Governance -- Towards an Integrated Perspective -- Interrelations Between Formal and Relational Governance -- Further Developments and Critique -- Economic and Social Perspectives -- Critique -- Theory and IT Outsourcing: Transaction Cost Economics -- Transaction Cost Economics -- The Transaction and Its Attributes -- Human Behaviour and Its Attributes -- The Theory of Transaction Costs and IS Research -- Problematizing the Explanatory Power of Transaction Cost Theory -- The Foucauldian Concept of Governmentality -- Governmentality Studies in Accounting -- Foucault and Power Relations -- Foucault and IS Research -- Conclusion -- References -- 3: Inside Global Offshore Outsourcing in Insurance -- Introduction -- Outsourcing Decisions -- Client and Supplier Capabilities -- Contract (Master Services Agreement and Project Descriptions) -- Relationship Between LION and FDL -- FDL Performance -- 4: Inside Global Outsourcing in Banking and Finance -- Introduction -- Outsourcing Decisions -- Outsourcing Objectives -- Outsourcing Scope -- Supplier Selection -- Client and Supplier Capabilities -- GIB Capabilities -- PV Capabilities -- Formal Governance. Intra-group Sourcing Versus Outsourcing: Implications for Governance -- Outsourcing Policy -- Master Services Agreement and Project Description(s) -- Obligations of the Supplier -- Reporting Obligations -- Communication Obligations -- Operational Obligations -- Infrastructural Obligations -- Regulatory Obligations -- Disaster Recovery Obligations -- Process Improvement Obligations -- GIB's Obligations -- GIB's Rights -- Acceptance of Service -- Service Augmentation -- Benchmarking -- Monitoring Procedures -- Service Levels and Service Level Principles and Reporting -- Change Control Procedures -- Term and Termination -- Reflections on Formal Governance -- Relationship Between GIB and PV -- PV Performance -- References -- 5: Inside Domestic Outsourcing with Multiple Suppliers -- Introduction -- Outsourcing Decisions -- Outsourcing Objectives -- Outsourcing Scope -- Supplier Selection -- Client and Supplier Capabilities -- DUTCH's Capabilities -- Suppliers' Capabilities -- Supplier A Capabilities -- Supplier B Capabilities -- Supplier C Capabilities -- Contracts -- Supplier A Contract -- Supplier B Contract -- Supplier C Contract -- DUTCH'S Outsourcing Relationships -- Relationship Between DUTCH and Supplier A -- Relationship Between DUTCH and Supplier B -- Relationship Between DUTCH and Supplier C -- Supplier Performance -- Supplier A Performance -- Supplier B Performance -- Supplier C Performance -- References -- 6: The Transaction Cost Economics Discourse -- Introduction -- The LION Outsourcing Contract from a TCE Perspective -- Asset Specificity and Frequency -- Uncertainty -- Environmental Uncertainty -- Internal Uncertainty -- Behavioural Uncertainty -- Type of Contract -- Critique of TCE in the LION Case -- First Level Analysis -- Second Level Analysis -- The GIB Outsourcing Contract from a TCE Perspective -- Asset Specificity and Frequency. Uncertainty -- Environmental Uncertainty -- Internal Uncertainty -- Behavioural Uncertainty -- Type of Contract -- Critique of TCE in the GIB Case -- First Level Analysis -- Second Level Analysis -- DUTCH's Outsourcing Contracts from a TCE Perspective -- Supplier A Contract -- Asset Specificity and Frequency -- Type of Contract -- Supplier B Contract -- Asset Specificity and Frequency -- Type of Contract -- Supplier C Contract -- Asset Specificity and Frequency -- Type of Contract -- Uncertainty -- Environmental Uncertainty -- Internal Uncertainty -- Behavioural Uncertainty -- Critique of TCE in the Supplier A Case -- First Level Analysis -- Second Level Analysis -- Critique of TCE in the Supplier B Case -- First Level Analysis -- Second Level Analysis -- Critique of TCE in the Supplier C Case -- First Level Analysis -- Second Level Analysis -- Summary: Applying a TCE Perspective -- 7: A Foucauldian Discourse Perspective -- Introduction -- A Foucauldian Perspective on the LION Case -- A Foucauldian Perspective on the GIB Case -- A Foucauldian Perspective on DUTCH's Outsourcing Contracts -- DUTCH and Multiple Supplier Contracts -- Supplier A Contract -- Supplier B Contract -- Supplier C Contract -- Summary: Applying a Foucauldian Perspective -- References -- 8: Conclusion: The Global Outsourcing Discourse -- Introduction -- The Role of TCE in IT Outsourcing Studies -- Learning from a Foucauldian-Informed Perspective -- The Outsourcing Discourse -- Conclusion -- References -- Appendix A: A Note on Methodology -- Research Strategy -- Data Collection Methods -- Fieldwork -- Appendix B: Skills and Capabilities -- Appendix C: Supplier Capabilities -- References. EBL202002 Information Transfer and Management SzGeCERN BOOK Willcocks, Leslie P https://cds.cern.ch/auth.py?r=EBLIB_P_5627131 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2710922 BOOK MIGRATED 2710901 SzGeCERN 20210421200952.0 9783030004408 electronic version electronic version 9783030004392 print version oai:cds.cern.ch:2710901 cerncds:BOOK EBL 5622503 eng HF4999.2-6182 658.408 Długopolska-Mikonowicz, Aneta Corporate social responsibility in Poland strategies, opportunities and challenges Cham Springer International 2019 371 p ebook CSR, sustainability, ethics and governance Intro -- Preface -- Part I. Introduction -- Part II. Financial Aspects of CSR -- Part III. Legal, Financial and Environmental Aspects of CSR -- Part IV. Practical Aspects of CSR -- Part V. CSR Reporting -- Part VI. Social Aspects of CSR -- Part VII. Outlook on CSR in Poland and Visegrad -- Contributing Organization -- Contents -- Editors and Contributors -- Part I: Introduction -- Transition from Corporate Responsibility to Sustainable Strategic Management -- 1 Introduction -- 2 Corporate Responsibility Context in Poland -- 3 Barriers to Sustainable Strategic Management Approach -- 4 Materiality Matrix: A Tool for Aligning Corporate Sustainability with Business Strategy -- 5 Strategic Challenges for Sustainability -- 6 Conclusion: Managing as if CSR Mattered -- References -- CSR Impact on Polish Economy: A Public Administration Perspective -- 1 Introduction -- 2 Development of CSR in Poland -- 3 Instruments Supporting CSR Development in Poland -- 4 Conclusions -- References -- Documents -- Red Roots of Corporate Irresponsibilities (Corporate Social Responsibility with a Historical Twist) -- 1 Introduction to the Academic Landscape of the Post-communist Research -- 2 CSR in New Public Management of the EU -- 3 Corporate Social Responsibility and Historical Memories -- 4 Is CRS Enough? -- 5 CRS in World´s Former ``Red´´ Zones -- 6 CSR and Oligarchic Risks -- References -- Part II: Financial Aspects of CSR -- CSR Versus Business Financial Sustainability of Polish Enterprises -- 1 Introduction -- 2 Corporate Social Responsibility and Corporate Financial Performance Debate -- 3 Methodology and Research Design -- 3.1 Financial Sustainability Construct -- 3.2 Maturity of Corporate Social Responsibility Construct -- 4 Results and Discussion -- 4.1 CSR Maturity Versus Financial Sustainability -- 4.2 CSR Versus Company Size and Industry. 5 Summary and Conclusions -- References -- Impact of CSR on Operating Financial Results: The Case of Companies from RESPECT Index -- 1 Introduction -- 2 Definition of Corporate Social Responsibility and Corporate Sustainability -- 3 Literature Review -- 4 Sustainability on Warsaw Stock Exchange -- 5 Methodology and Data -- 6 Discussion of Results and Conclusions -- References -- CSR of Banks in Poland -- 1 The Importance of Bank Sector in Poland -- 2 CSR of Banks: General Concept -- 3 Crises, Loss of Reputation and the CSR Remedy in Banking Sector -- 4 CSR Engagement of Banks in Poland -- 5 Ethical Banking and Responsible Investment -- 6 Social Irresponsibility: Dark Side of the Banks in Poland -- 7 Conclusions -- References -- Part III: Legal, Financial, Environmental Aspects of CSR -- Legal and Financial Aspects of Eco-efficiency Investments in Poland -- 1 Introduction -- 2 European Regulations Shape the Renewable Energy Sector -- 3 The Auction System -- 4 Reference Prices -- 5 Major Shift in Support of Technology -- 6 Discussion and Conclusions -- References -- Legal Acts -- The Role of CSR in the Transition to a Green Economy -- 1 Introduction -- 2 The Green Economy Concept as a Research Issue -- 2.1 Definitions of Green Economy -- 2.2 Green Economy: The New Model -- 2.3 The Enterprises and Other Actors of Transition to a Green Economy -- 3 The Failure of the Brown Economy and CSR 1.0 -- 3.1 From Brown to Green Economy -- 3.2 CSR 1.0 -- 4 The Future of CSR 2.0 and Green Economy -- 5 Conclusion -- References -- Part IV: Practical Aspects of CSR -- CSR Level of Enterprises in Poland: Before and After Transition -- 1 Introduction -- 2 Pre-transition Situation in Poland -- 3 Post-transition Reality -- 3.1 The Description of CSR Continuum Model -- 4 CSR Level-Research Results -- 5 Conclusion -- References. Social Responsibility Management in a Small Enterprise: Selected Problems and Good Practices -- 1 Introduction -- 2 Assumptions for Social Responsibility Management from the Perspective of a Small Enterprise: Original Concept -- 3 Research Methodology -- 4 Problems Related to the Management of Social Responsibility in a Small Enterprise: Selected Conclusions from Empirical Resea... -- 5 Good Practices in Social Responsibility Management in the Surveyed Small Enterprises -- 6 Recommendations -- 7 Conclusion -- References -- The Influence of MNEs on CSR in Poland -- 1 Introduction -- 2 CSR in Poland: Current Status and Historical Development -- 2.1 The Role of MNEs -- 2.2 Evolution of CSR in Poland: Example of the Retail Market -- 2.3 Corporate Social Responsibility -- 2.4 Stakeholder Approach to Tackle New CSR Challenges -- 2.5 Role of NGOs in Polands CSR Process -- 2.6 Reasons to Engage in CSR: MNEs in Poland -- 3 Examining the Engagement of MARS and Avon -- 3.1 Applied Methodology -- 3.2 MARS Case -- 3.3 Avon Case -- 3.3.1 Analyse of CSR Communication -- 3.3.2 Special Insights from the Interviews -- 3.3.3 Evaluation of Avon´s CSR Engagement in Poland -- 3.4 Conclusions from Own Research -- 4 Conclusions -- References -- Electronic References -- Relationship Between Sport and CSR in the Conditions of Functioning of Sport Organizations in Poland -- 1 Introduction: Methodology of Research -- 2 In Search of Responsibility -- 3 Sports Club in the Structures of Polish Sport -- 4 CSR and Sports Clubs -- 5 CSR in the Practical Dimension of Sports Clubs: Research Results -- 6 Model of Sport: CSR Relations-Conclusions -- References -- Part V: CSR Reporting -- CSR Reporting Practices in Poland -- 1 Introduction -- 2 Reporting of CSR Involvement in Poland: Empirical Analysis -- 3 Content of CSR Reports -- 4 Respect Index and CSR Reporting. 5 New Directive: Outlooks -- 6 Summary -- References -- Non-financial Reporting. Conceptual Framework, Regulation and Practice -- 1 Introduction -- 2 The Concept of Non-financial Reporting -- 2.1 Definition and Origins -- 2.2 Motivations and Benefits -- 3 Reporting Practice -- 3.1 Standards -- 3.2 Assurance -- 3.3 Limitations and Criticism -- 4 Non-financial Reporting in Poland -- 4.1 Practice in the 2005-2016 -- 4.2 The Empirical Analysis. Goals, Sample and Methodology -- 4.3 Results and Discussion -- 5 Conclusion -- References -- Part VI: Social Aspects of CSR -- Personal Social Responsibility and Its Impact to Consumerism -- 1 Personal Social Responsibility vs Corporate and Consumer Social Responsibility -- 2 Corporate Social Responsibility in Poland -- 3 Consumer Awakening -- 4 Responsibility of Polish Consumer -- 5 How to Wear Fair: Personal Social Responsibility While Shopping -- References -- Employees Motivation in CSR Projects: Case Study of WrOpenUp -- 1 Introduction -- 2 Corporate Social Responsibility -- 2.1 Definition of CSR -- 2.2 CSR in Poland -- 3 CSR and Volunteering -- 3.1 Employee Volunteering -- 3.2 Volunteering in Poland -- 4 Diversity and Diversity Management -- 5 Motivation and Volunteering -- 5.1 Motivation: Intrinsic and Extrinsic -- 5.2 Motivation Behind Volunteering -- 6 The Case Study WrOpenUp -- 6.1 WrOpenUP -- 6.2 Methodology and Questions -- 7 Results -- 7.1 Diversity of Volunteers -- 7.2 Company Results -- 7.3 Motivation Scale -- 8 Conclusion -- 8.1 Interpretation -- 8.2 Recommendations -- References -- Social Media for Corporate Social Responsibility Strategy Creation and Communication in Poland -- 1 Introduction -- 2 Technological and Social Changes in the Corporate Realm -- 3 The Meaning of Social Media for Corporate Social Responsibility -- 4 The Use of Social Media for CSR Activities in Poland. 4.1 Control and Social Pressure by Way of New Media -- 4.2 The Use of Web 2.0 Tools and New Collaborative Models by Businesses in the Process of Creating and Implementing CSR Strate... -- 4.2.1 Coca-Cola HBC Polska -- 4.2.2 Schenker Sp. z o.o. (DB Schenker) -- 4.2.3 Polpharma -- 5 Wrap-up and Conclusions -- References -- Part VII: Outlook on CSR in Poland and Vicegrad -- Strategic CSR in Poland -- 1 Introduction: Purpose of the Article and Research Method -- 2 What Is Strategic CSR? -- 3 The Image of the Strategic CSR in Poland -- 3.1 Legal and Political Context -- 3.2 Civil Society Context -- 3.3 Enterprises Context -- 4 Strategic CSR in Companies: Examples -- 5 Conclusion -- References -- Quo Vadis, Corporate Social Responsibility in Poland? -- 1 Introduction -- 2 Identification of CSR Concept in Public Governance in Poland -- 3 Europeanization of CSR Concept in Institutional Practice in Poland -- 4 Nihil Novi Sub Sole? Institutionalization of CSR Concept in Polish Public Policy After 2015 -- 5 Conclusion -- References -- Corporate Social Responsibility in Visegrad Countries (Poland, Czech Republic, Slovakia, Hungary) Overall Landscape -- 1 Introduction -- 1.1 Towards Sustainable Development and CSR in Central Europe and Visegrad Countries -- 2 CSR in Czech Republic -- 2.1 Development of CSR in Czech Republic -- 2.2 CSR in Chemical Industry -- 2.3 CSR in Automotive Industry -- 3 CSR in Slovakia -- 3.1 Developing CSR Concept and Practice in Slovakia -- 3.2 CSR in Selected Agri-Food Companies -- 3.2.1 Environmental Pillar -- 3.2.2 Economic Pillar -- 3.2.3 Social Pillar (Policy Towards Community/at the Workplace) -- 4 CSR in Hungary -- 4.1 From Economic to Responsible Thinking: Evolution of CSR in Hungary -- 4.2 Legal Background of CSR in Hungary -- 4.3 CSR Business Practices in Hungary -- 5 Conclusions -- References. EBL202002 Information Transfer and Management SzGeCERN EBL Social responsibility of business EBL Nonprofit organizations BOOK Przytuła, Sylwia Stehr, Christopher https://cds.cern.ch/auth.py?r=EBLIB_P_5622503 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2710901 BOOK MIGRATED 2710894 SzGeCERN 20210421200953.0 9783319937403 electronic version electronic version 9783319937397 print version oai:cds.cern.ch:2710894 cerncds:BOOK EBL 5620216 eng QC71.82-73.8 621.310286 Basosi, Riccardo Life cycle assessment of energy systems and sustainable energy technologies the Italian experience Cham Springer 2019 187 p ebook Green energy and technology Intro -- Preface -- The Italian LCA Network and the Working Group "Energy and Sustainable Technologies" -- Contents -- LCA Applied to the Energy Sector: State of the Art and Case Studies -- 1 Life Cycle Assessment of Electricity Generation Scenarios in Italy -- 1.1 Introduction -- 1.2 Scenario Analysis -- 1.2.1 Electricity Production in Sicily -- 1.2.2 Identification of the Renewable Energy Marginal Technologies -- 1.2.3 Electricity Generation Scenarios Definition -- 1.3 Life Cycle Assessment -- 1.3.1 Goal and Scope Definition -- 1.3.2 Life Cycle Inventory -- 1.3.3 Life Cycle Impact Assessment and Discussion of Results -- 1.3.4 Potential Contribution of Sicily in the Achievement of the 2030 European Climate Target -- 1.4 Conclusions -- References -- 2 LCA of Photovoltaic Solutions in the Italian Context -- 2.1 Introduction -- 2.2 Evolution of Photovoltaic Production in Italy -- 2.3 Goal and Scope -- 2.4 Life Cycle Inventory -- 2.5 Life Cycle Impact Assessment -- 2.6 Conclusions -- References -- 3 Geothermal Energy Production in Italy: An LCA Approach for Environmental Performance Optimization -- 3.1 Introduction -- 3.2 Environmental Impacts of the Geothermal Resource -- 3.3 Methodological Issues -- 3.3.1 Goal and Scope of the Study -- 3.3.2 Life Cycle Inventory Analysis -- 3.3.3 Life Cycle Impact Assessment -- 3.4 Results and Discussion -- 3.5 Concluding Remarks -- References -- 4 Application of LCA for the Short-Term Management of Electricity Consumption -- 4.1 Introduction -- 4.1.1 The LCA Application in Analyzing Electricity Life Cycle -- 4.2 Short-Term LCA to Address Consumptions Within Electricity Systems -- 4.3 Attributional LCA to Analyze Electricity Consumptions in the Short Term -- 4.4 Consequential LCA to Analyze Electricity Consumptions in the Short Term -- 4.5 Conclusions -- References. 5 Small-Size Vanadium Redox Flow Batteries: An Environmental Sustainability Analysis via LCA -- 5.1 Introduction -- 5.1.1 Electrical Energy Storage Systems -- 5.1.2 Electrochemical Storage Systems -- 5.2 VRFB and Their Applications -- 5.3 LCA of a VRFB Small-Scale Prototype -- 5.4 LCA of Small-Scale Vanadium Redox Flow Battery Prototype -- 5.5 LCA Results for the VRFB Prototype -- 5.6 Comparison of Synthesis Processes for the Preparation of the Vanadium Electrolyte -- 5.7 Conclusions -- References -- LCA Applied to Bio-energy: State of the Art and Case Studies -- 6 Life Cycle Assessment of Renewable Energy Production from Biomass -- 6.1 Introduction -- 6.1.1 Interest in Renewable Energy Production and Use -- 6.1.2 Renewable Energy Sources: The Potential of Biomass -- 6.1.3 Environmental Aspects Linked to Bioenergy -- 6.2 Key Methodological Aspects in LCA of Biomass-Based Energy System -- 6.2.1 Life Cycle Model -- 6.2.2 Function of the System and Functional Unit -- 6.2.3 Managing Multifunctionality -- 6.2.4 System Boundaries -- 6.2.5 Building the Life Cycle Inventory -- 6.2.6 Selecting the Life Cycle Impact Assessment Methodologies and Impact Categories -- 6.3 Conclusions -- References -- 7 Energy and Environmental Assessments of Agro-biogas Supply Chains for Energy Generation: A Comprehensive Review -- 7.1 Introduction -- 7.2 Review of the Latest Environmental Assessments in the Agro-biogas Energy Field -- 7.3 Discussions of Review Results -- 7.4 Conclusions and Future Trends -- References -- 8 A Review on Potential Candidate Lignocellulosic Feedstocks for Bio-energy Supply Chain -- 8.1 Introduction -- 8.2 Methodological Issues -- 8.2.1 Papers Selection and Clustering -- 8.2.2 Statistical Analysis -- 8.3 Results and Discussion -- 8.4 Concluding Remarks -- References -- 9 Life Cycle Assessments of Waste-Based Biorefineries-A Critical Review. 9.1 Introduction -- 9.2 Biorefineries -- 9.3 Method -- 9.4 Results -- 9.4.1 Functional Unit -- 9.4.2 System Boundary -- 9.5 Life Cycle Inventory Data -- 9.6 Allocation Issue -- 9.6.1 Feedstock Production -- 9.6.2 Multifunctionality -- 9.7 Conclusion -- References -- 10 Life Cycle Analysis of the Production of Biodiesel from Microalgae -- 10.1 Introduction -- 10.2 The Microalgae-to-Biodiesel -- 10.3 Literature Review of the LCA Studies on Biodiesel from Microalgae -- 10.3.1 Economic and Social Impact Assessment -- 10.4 Conclusions -- References -- 11 Comparative Life Cycle Assessment Study on Environmental Impact of Oil Production from Micro-Algae and Terrestrial Oilseed Crops -- 11.1 Introduction -- 11.2 Materials and Methods -- 11.2.1 Description of the Analyzed Systems -- 11.2.2 LCA Assumptions and Life Cycle Inventory Analysis -- 11.2.3 Sensitivity Analysis -- 11.3 Results and Discussion -- 11.3.1 Comparison Between Oil from Conventional Crops and Micro-Algae Oil -- 11.3.2 Sensitivity Analysis -- 11.4 Conclusions -- References. EBL202002 Engineering SzGeCERN EBL Electric power systems-Environmental aspects BOOK Cellura, Maurizio Longo, Sonia Parisi, Maria Laura https://cds.cern.ch/auth.py?r=EBLIB_P_5620216 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2710894 BOOK MIGRATED 2710893 SzGeCERN 20210421200953.0 9783030007256 electronic version electronic version 9783030007249 print version oai:cds.cern.ch:2710893 cerncds:BOOK EBL 5620206 eng HF4999.2-6182 003 Urbani Ulivi, Lucia The systemic turn in human and natural sciences a rock in the pond Cham Springer International 2019 221 p ebook Contemporary systems thinking Intro -- Preface -- Systemic Thinking: An Introduction -- The Systemic Point of View -- The History of the Notion of System -- The System of the World -- The System of Nature -- Philosophical System -- The Issue of Finalism -- System Theory -- Holism -- Complexity -- Finalism -- Interdisciplinarity -- Contents -- Contributors -- Phenomenological Structural Dynamics of Emergence: An Overview of How Emergence Emerges -- 1 Introduction -- 2 Emergence from Compatibilities and Equivalences -- 2.1 Admissible, Compatible, and Equivalent -- 2.2 Several Ways to Maintain Emergent Coherence -- 2.3 Incompleteness, Fluctuations, and the Observer -- 3 Complex Systems and Emergence -- 4 Synchronisation, Correlation, Coherence, and Polarisation -- 4.1 Synchronisation -- 4.2 Correlation -- 4.3 Coherence -- Structural Dynamics -- Approaches -- 4.4 Polarisation and Global Ordering -- 5 The Coherence of Emergence in Complex Systems -- 5.1 Examples of Phenomena Compatible with Emergence, Suitable for Hosting Processes of Emergence, and Possibly Establishing Themselves as Processes of Emergence -- Attractors (Phenomenon) -- Chaotic Behaviour -- Dissipation -- Domains of Coherence -- Multiple and Remote Synchronisations -- Multiple Systems -- 5.2 Examples of Properties Intended as Signs, Clues, Theory-Substitutive Concordances and Correspondences, and Possible Trademarks of Emergence -- Attractors (Property of Models) -- Bifurcation Points -- Meta-Structural Properties -- Network Properties -- Non-Equivalence -- Power Laws -- Scale Invariance and Self-Similarity -- Symmetry Breaking -- Unpredictability -- The Constructivist Role of the Observer -- 6 Simulations -- 7 Conclusions -- Web Resources (Accessed on December 4, 2017) -- References -- The World Opacity and Knowledge -- 1 Introduction -- 2 Opacity and Transparency -- 3 Intrinsic Opacity. 4 Observables and Dynamics -- 5 The Ontological Prejudice -- 6 The Naive Vision of the World -- 7 Open Systems and Closed Systems -- 8 The Arrow of Time -- 9 The Brain Action-Perception Cycle -- 10 Mind and Brain -- References -- In Search of Organization Laws: A New Way of Doing Science? (The Uprising of Systemic Attitude) -- 1 An Information Crisis? -- 2 Systemic Style -- 3 Networks -- 4 Conclusions -- References -- Is Present Ecology a Systemic Discipline? New Scientific Paradigms Lead to Bionomics -- 1 Going Over the Galilean Method -- 2 Limits Emerging from Paradigm Shift -- 2.1 Limits of Conventional Ecology -- 2.2 Limits of Conventional Vegetation Analysis -- 2.3 Limits of Conventional Planetary Health Studies -- 3 Bionomics and Landscape Bionomics -- 3.1 Landscape Structure (Shape-Function Relation) -- 3.2 Landscape Processes (Physiology) -- 3.3 Landscape Health State Diagnosis -- 3.4 Planetary Health Control -- 4 Conclusion -- References -- Architecture and Systemics: A Brief Outline -- 1 Complexity Made Simple? -- 2 Form and Function Between Reason and Nature -- 3 Good Fit, Permanence, Co-evolution: A Matter of Time -- 4 Metaphors Aside: Feedback, Performance, Affordance -- References -- Climate Risks, Economics and Finance: Insights from Complex Systems -- 1 Introduction -- 2 Climate Change Economics: Why Current Models Are Wrong? -- 3 An Evolutionary Perspective on the Climate-Economy Dimension -- 3.1 Evaluation of Climate Damages -- 3.2 Agent Based Integrated Assessment -- 3.3 Macroeconomics, Climate and Finance -- 4 A Financial Networks Perspective on Climate-Finance -- 4.1 Climate Risks and Financial Stability -- 4.2 Financial Networks for the Analysis of Climate-Related Financial Risks -- 5 Conclusions -- References -- The Legal Concept of the Environment and Systemic Vision -- 1 The Law and Its Environment. 2 The Formation of the Legal Notion of the Environment -- 3 Environmental Resources and Ecosystem Services -- 4 The Environment as a Shared System -- 5 A Summarising Formula: Environmental Objects Are Considered by Law as Physical Commons with a Legacy Value -- 6 Systemic Vision and Legal Principles to Protect the Environment -- 7 Environmental Law Tested by Complexity: Climate Change -- 8 Climate Change and the Legal Response -- 9 The Limits of the Approach to the Problem of Climate Change -- 10 The Most Recent Developments (Outline of the Paris Agreement) -- References -- The Living Body as a Model of Systemic Organization in Ancient Thinking -- 1 Introduction -- 2 Homer -- 3 Physical Anatomy -- 4 Connections Among Parts of the Body and Emotions -- 5 The Part Expresses the Whole -- 6 Psychê -- 7 The Organism in Aristotle -- 8 Conclusions -- Bibliography -- Sentences as Systems: The Principle of Compositionality and Its Limits -- 1 Introduction -- 2 Sentences are Structured Entities -- 2.1 Syntactic Structure -- 2.2 A Formal Definition -- 2.3 Isomorphism Between Syntax and Semantics -- 3 Limits of the Principle of Compositionality -- 3.1 Idioms -- 3.2 Ambiguity and Polysemy -- 3.3 Anaphoric Pronouns -- 3.4 Semantic Indeterminacy -- 3.5 Exophoric Pronouns -- 4 Concerning Defenses of a Radical Version of the Principle of Compositionality -- 4.1 Idioms -- 4.2 Ambiguity -- 4.3 Anaphoric Pronouns -- 4.4 Semantic Indeterminacy -- 5 Conclusion -- References -- Mind and Body. Whose? Philosophy of Mind and the Systemic Approach -- 1 First Part: The Status of Philosophy of Mind -- 2 Second Part: Tensions and Inconsistencies -- 3 Third Part: Contributions of Systemic (and Non-systemic) Thought Useful in Philosophy of Mind -- 4 Fourth Part: Proposal for a "Systemic" Philosophy of Mind -- References. EBL202002 SzGeCERN Science in General EBL System theory BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5620206 ebook 202002 n 202007 21 PUBLIC https://catalogue.library.cern/legacy/2710893 BOOK MIGRATED 2710873 SzGeCERN 20210421200956.0 9783319733838 electronic version electronic version 9783319733821 print version oai:cds.cern.ch:2710873 cerncds:BOOK EBL 5614883 eng GB3-5030 006.312 Pourghasemi, Hamid Reza Natural hazards GIS-based spatial modeling using data mining techniques Cham Springer International 2019 311 p ebook Advances in natural and technological hazards research 48 Intro -- Foreword by Leonardo Cascini -- Foreword by Manfred F. Buchroithner -- Foreword by Nicola Casagli -- Foreword by Norman Kerle -- Foreword by Saro Lee -- Preface -- Contents -- 1 Gully Erosion Modeling Using GIS-Based Data Mining Techniques in Northern Iran: A Comparison Between Boosted Regression Tree and Multivariate Adaptive Regression Spline -- Abstract -- 1 Introduction -- 1.1 Soil Erosion by Water and Its Types -- 1.2 GIS Techniques for Gully Erosion Modeling -- 2 Materials and Methods -- 2.1 Study Area -- 2.2 Methodology -- 2.3 Gully Erosion Inventory Mapping -- 2.4 Preparation of Gully Erosion Effective Factors -- 2.5 Man-Made Factors -- 2.6 Topographic Factors -- 2.7 Hydrological Factors -- 2.8 Lithology Factor -- 2.9 Gully Erosion Susceptibility Spatial Modeling Using Data Mining Techniques -- 2.9.1 Boosted Regression Tree (BRT) -- 2.9.2 Multivariate Adaptive Regression Splines (MARS) -- 2.10 Assessment of Variables Importance Applied to Gully Erosion -- 2.11 Accuracy Assessment of Gully Erosion Susceptibility Models -- 3 Results and Discussion -- 3.1 Examination of Multicollinearity -- 3.2 Application of BRT Model -- 3.3 Application of MARS Model -- 3.4 Assessment of BRT and MARS Models -- 4 Conclusion -- References -- 2 Concepts for Improving Machine Learning Based Landslide Assessment -- Abstract -- 1 Introduction -- 1.1 Case Studies -- 2 Landslide Inventory Enhancements -- 3 Choice of Attributes -- 4 Classification Versus Regression -- 5 Choice of ML Technique -- 6 Sampling Strategy -- 7 Cross-Scaling Concept -- 8 Quasi-hazard Concept -- 9 Objective Model Evaluation -- 10 Conclusions -- Acknowledgements -- References -- 3 Assessment of the Contribution of Geo-environmental Factors to Flood Inundation in a Semi-arid Region of SW Iran: Comparison of Different Advanced Modeling Approaches -- Abstract -- 1 Introduction. 2 Study Area -- 3 Methods -- 3.1 Flood Inventory Map -- 4 Flood Conditioning Factors -- 5 Variable Importance Analysis -- 6 Application of Models -- 7 Results -- 8 Discussions -- 9 Conclusion -- References -- 4 Land Subsidence Modelling Using Data Mining Techniques. The Case Study of Western Thessaly, Greece -- Abstract -- 1 Introduction -- 2 Land Subsidence Modelling Due to Over-Exploitation of Aquifers -- 3 The Study Area -- 4 Data and Methods -- 5 Results -- 6 Discussion -- 7 Conclusion -- Acknowledgements -- References -- 5 Application of Fuzzy Analytical Network Process Model for Analyzing the Gully Erosion Susceptibility -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Area -- 2.2 Methodology -- 2.2.1 Data Collection -- Gully Erosion Inventory Map -- Effective Drivers on the Gully Erosion -- 2.2.2 Fuzzy Analytical Network Process (Fuzzy ANP) -- Description -- Designing the Network Based on the Effective Factors on Gully Erosion -- 2.2.3 Validation of the Fuzzy ANP Method -- 3 Results and Discussion -- 3.1 Fuzzy ANP Results in Estimating the Relative Importance of Factors -- 3.2 Relative Importance of Classes in Each Factor -- 3.3 Developing the Gully Erosion Susceptibility Map -- 3.4 Validation of the Fuzzy ANP Method -- 4 Conclusion -- Acknowledgements -- References -- 6 Landslide Susceptibility Prediction Maps: From Blind-Testing to Uncertainty of Class Membership: A Review of Past and Present Developments -- Abstract -- 1 Introduction to Spatial Characterization -- 2 Cross Breeding of Persuasions, Curiosities and Strivings -- 3 What Are the Results of Applying Models? -- 4 Exploiting the Deba Valley Database -- 5 Concluding Remarks -- Acknowledgements -- References -- 7 Earthquake Events Modeling Using Multi-criteria Decision Analysis in Iran -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Case Study. 2.2 Methods -- 2.2.1 Fuzzy Inference -- 2.2.2 Analytical Hierarchy Process (AHP) -- 2.3 Ordered Weighted Averaging (OWA) -- 3 Results and Discussion -- 3.1 Fuzzy Method -- 3.2 Computation of Criterion Weight -- 4 Conclusions -- Acknowledgements -- References -- 8 Prediction of Rainfall as One of the Main Variables in Several Natural Disasters -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Area and Data -- 2.2 Group Method of Data Handling (GMDH) -- 2.3 Hybrid Wavelet-GMDH Model -- 2.4 Hybrid Wavelet Packet-GMDH Model -- 2.5 Hybrid EEMD-GMDH Models -- 2.6 Evaluation Criteria -- 3 Results and Discussion -- 4 Conclusion -- References -- 9 Landslide Inventory, Sampling and Effect of Sampling Strategies on Landslide Susceptibility/Hazard Modelling at a Glance -- Abstract -- 1 Introduction -- 2 Landslides -- 3 Susceptibility/Hazard Assessment -- 4 Landslide Inventory Maps -- 5 Sample and Sampling in Statistics -- 6 Sampling Strategy -- 7 GIS and Data Mining in Landslide Assessments -- 8 Conclusions -- References -- 10 GIS-Based Landslide Susceptibility Evaluation Using Certainty Factor and Index of Entropy Ensembled with Alternating Decision Tree Models -- Abstract -- 1 Introduction -- 2 Study Area -- 3 Materials and Methods -- 3.1 Making a List of Landslides -- 3.2 Landslide Predictors -- 3.3 Modeling of Landslide Susceptibility -- 3.3.1 Certainty Factor -- 3.4 Index of Entropy -- 3.5 Alternating Decision Tree -- 3.6 Descriptions of Ensemble Modeling -- 4 Results and Discussions -- 4.1 Inferences of CF-ADTree Model -- 4.2 Inferences of IOE-ADTree Model -- 4.3 Model Performance and Comparison -- 5 Conclusions -- Acknowledgements -- References -- 11 Evaluation of Sentinel-2 MSI and Pleiades 1B Imagery in Forest Fire Susceptibility Assessment in Temperate Regions of Central and Eastern Europe. A Case Study of Romania -- Abstract. 1 Introduction -- 1.1 Study Area -- 2 Satellite Images Processing -- 3 Derived Products and Evaluation -- 4 Discussion and Conclusion -- Acknowledgements -- References -- 12 Monitoring and Management of Land Subsidence Induced by Over-exploitation of Groundwater -- Abstract -- 1 Introduction -- 2 SAR Interferometry Method -- 2.1 Conventional Time Series Analysis -- 2.2 Persistent Scatterer Interferometry -- 3 Interferometry Monitoring of Subsidence in Iran -- 3.1 Case Study 1: Varamin Plain -- 3.2 Case Study 2: Neyshabour Plain -- 3.3 Case Study 3: Shahriar Plain -- 3.3.1 Subsidence Modelling Based on Data Mining Methods -- 4 Conclusion -- Acknowledgements -- References. EBL202002 SzGeCERN Computing and Computers EBL Data mining EBL Natural disasters-Geographic information systems BOOK Rossi, Mauro https://cds.cern.ch/auth.py?r=EBLIB_P_5614883 ebook 202002 n 202007 21 PUBLIC https://catalogue.library.cern/legacy/2710873 BOOK MIGRATED 2710867 SzGeCERN 20210421200957.0 9789811329845 electronic version electronic version 9789811329821 print version oai:cds.cern.ch:2710867 cerncds:BOOK EBL 5614165 eng HB71-74 658.4 O'Donnell, Christopher J Productivity and efficiency analysis an economic approach to measuring and explaining managerial performance Singapore Springer 2018 434 p ebook Intro -- Preface -- Contents -- Acronyms -- Notation -- 1 Overview -- 1.1 Basic Concepts and Terminology -- 1.2 Production Technologies -- 1.2.1 Output Sets -- 1.2.2 Input Sets -- 1.2.3 Production Possibilities Sets -- 1.2.4 Output Distance Functions -- 1.2.5 Input Distance Functions -- 1.2.6 Other Sets and Functions -- 1.3 Measures of Productivity Change -- 1.3.1 Output Quantity Indices -- 1.3.2 Input Quantity Indices -- 1.3.3 Productivity Indices -- 1.3.4 Other Indices -- 1.4 Managerial Behaviour -- 1.4.1 Output Maximisation -- 1.4.2 Input Minimisation -- 1.4.3 Productivity Maximisation -- 1.4.4 Other Types of Behaviour -- 1.5 Measures of Efficiency -- 1.5.1 Output-Oriented Measures -- 1.5.2 Input-Oriented Measures -- 1.5.3 Productivity-Oriented Measures -- 1.5.4 Other Measures -- 1.6 Piecewise Frontier Analysis -- 1.6.1 Basic Models -- 1.6.2 Productivity Analysis -- 1.6.3 Other Models -- 1.7 Deterministic Frontier Analysis -- 1.7.1 Basic Models -- 1.7.2 Least Squares Estimation -- 1.7.3 Productivity Analysis -- 1.7.4 Other Models -- 1.8 Stochastic Frontier Analysis -- 1.8.1 Basic Models -- 1.8.2 Maximum Likelihood Estimation -- 1.8.3 Productivity Analysis -- 1.8.4 Other Models -- 1.9 Practical Considerations -- 1.9.1 The Main Steps -- 1.9.2 Government Policies -- 1.10 Summary and Further Reading -- References -- 2 Production Technologies -- 2.1 Output Sets -- 2.1.1 Assumptions -- 2.1.2 Example -- 2.2 Input Sets -- 2.2.1 Assumptions -- 2.2.2 Example -- 2.3 Production Possibilities Sets -- 2.3.1 Assumptions -- 2.3.2 Example -- 2.4 Output Distance Functions -- 2.4.1 Properties -- 2.4.2 Marginal Effects -- 2.4.3 Example -- 2.5 Input Distance Functions -- 2.5.1 Properties -- 2.5.2 Marginal Effects -- 2.5.3 Example -- 2.6 Revenue Functions -- 2.6.1 Properties -- 2.6.2 Marginal Effects -- 2.6.3 Example -- 2.7 Cost Functions -- 2.7.1 Properties. 2.7.2 Marginal Effects -- 2.7.3 Example -- 2.8 Profit Functions -- 2.8.1 Properties -- 2.8.2 Marginal Effects -- 2.8.3 Example -- 2.9 Other Sets and Functions -- 2.9.1 Production Functions -- 2.9.2 Input Requirement Functions -- 2.9.3 Directional Distance Functions -- 2.9.4 Hyperbolic Distance Functions -- 2.9.5 Technology-and-Environment-Specific Sets and Functions -- 2.9.6 Period-Specific Sets and Functions -- 2.9.7 State-Contingent Sets and Functions -- 2.10 Summary and Further Reading -- References -- 3 Measures of Productivity Change -- 3.1 Output Quantity Indices -- 3.1.1 Additive Indices -- 3.1.2 Multiplicative Indices -- 3.1.3 Primal Indices -- 3.1.4 Dual Indices -- 3.1.5 Benefit-of-the-Doubt Indices -- 3.1.6 Other Indices -- 3.1.7 Toy Example -- 3.2 Input Quantity Indices -- 3.2.1 Additive Indices -- 3.2.2 Multiplicative Indices -- 3.2.3 Primal Indices -- 3.2.4 Dual Indices -- 3.2.5 Benefit-of-the-Doubt Indices -- 3.2.6 Other Indices -- 3.2.7 Toy Example -- 3.3 Productivity Indices -- 3.3.1 Additive Indices -- 3.3.2 Multiplicative Indices -- 3.3.3 Primal Indices -- 3.3.4 Dual Indices -- 3.3.5 Benefit-of-the-Doubt Indices -- 3.3.6 Other Indices -- 3.3.7 Toy Example -- 3.4 Other Indices -- 3.4.1 Output Price Indices -- 3.4.2 Input Price Indices -- 3.4.3 Terms-of-Trade Indices -- 3.4.4 Implicit Output Indices -- 3.4.5 Implicit Input Indices -- 3.4.6 Implicit Productivity Indices -- 3.5 Summary and Further Reading -- References -- 4 Managerial Behaviour -- 4.1 Output Maximisation -- 4.1.1 Output Mix Predetermined -- 4.1.2 Outputs Chosen Freely -- 4.1.3 Example -- 4.2 Input Minimisation -- 4.2.1 Input Mix Predetermined -- 4.2.2 Inputs Chosen Freely -- 4.2.3 Example -- 4.3 Revenue Maximisation -- 4.3.1 Price Setters in Output Markets -- 4.3.2 Price Takers in Output Markets -- 4.3.3 Example -- 4.4 Cost Minimisation. 4.4.1 Price Setters in Input Markets -- 4.4.2 Price Takers in Input Markets -- 4.4.3 Example -- 4.5 Profit Maximisation -- 4.5.1 Price Setters in Output and Input Markets -- 4.5.2 Price Takers in Output and Input Markets -- 4.5.3 Example -- 4.6 Productivity Maximisation -- 4.6.1 Output and Input Mixes Predetermined -- 4.6.2 Outputs and Inputs Chosen Freely -- 4.6.3 Example -- 4.7 Other Types of Behaviour -- 4.7.1 Choosing Technologies -- 4.7.2 Maximising Net Output -- 4.7.3 Maximising Return to the Dollar -- 4.7.4 Behaviour in the Face of Environmental Uncertainty -- 4.7.5 Behaviour in the Face of Other Types of Uncertainty -- 4.7.6 Bounded Rationality -- 4.8 Summary and Further Reading -- References -- 5 Measures of Efficiency -- 5.1 Output-Oriented Measures -- 5.1.1 Output-Oriented Technical Efficiency -- 5.1.2 Output-Oriented Technical and Mix Efficiency -- 5.1.3 Output-Oriented Mix Efficiency -- 5.1.4 Example -- 5.2 Input-Oriented Measures -- 5.2.1 Input-Oriented Technical Efficiency -- 5.2.2 Input-Oriented Technical and Mix Efficiency -- 5.2.3 Input-Oriented Mix Efficiency -- 5.2.4 Example -- 5.3 Revenue-Oriented Measures -- 5.3.1 Revenue Efficiency -- 5.3.2 Output-Oriented Allocative Efficiency -- 5.3.3 Example -- 5.4 Cost-Oriented Measures -- 5.4.1 Cost Efficiency -- 5.4.2 Input-Oriented Allocative Efficiency -- 5.4.3 Example -- 5.5 Profit-Oriented Measures -- 5.5.1 Profit Efficiency -- 5.5.2 Output-Oriented Scale and Allocative Efficiency -- 5.5.3 Input-Oriented Scale and Allocative Efficiency -- 5.5.4 Example -- 5.6 Productivity-Oriented Measures -- 5.6.1 Technical and Scale Efficiency -- 5.6.2 Technical, Scale and Mix Efficiency -- 5.6.3 Residual Mix Efficiency -- 5.6.4 Example -- 5.7 Other Measures -- 5.7.1 Output-Oriented Scale Efficiency -- 5.7.2 Output-Oriented Scale and Mix Efficiency -- 5.7.3 Residual Output-Oriented Scale Efficiency. 5.7.4 Input-Oriented Scale Efficiency -- 5.7.5 Input-Oriented Scale and Mix Efficiency -- 5.7.6 Residual Input-Oriented Scale Efficiency -- 5.7.7 Metatechnology Ratios -- 5.7.8 Nonradial Measures -- 5.8 Summary and Further Reading -- References -- 6 Piecewise Frontier Analysis -- 6.1 Basic Models -- 6.1.1 Output-Oriented Models -- 6.1.2 Input-Oriented Models -- 6.1.3 Revenue-Oriented Models -- 6.1.4 Cost-Oriented Models -- 6.1.5 Profit-Oriented Models -- 6.1.6 Productivity-Oriented Models -- 6.2 Models with Stronger Assumptions -- 6.2.1 No Technical Change -- 6.2.2 Nonincreasing Returns to Scale -- 6.2.3 Constant Returns to Scale -- 6.2.4 Nondecreasing Returns to Scale -- 6.2.5 Toy Example -- 6.3 Models with Weaker Assumptions -- 6.3.1 Inputs Not Strongly Disposable -- 6.3.2 Outputs Not Strongly Disposable -- 6.3.3 Environmental Variables Not Strongly Disposable -- 6.3.4 Production Possibilities Sets Not Convex -- 6.3.5 Toy Example -- 6.4 Inference -- 6.4.1 PDFs Known -- 6.4.2 PDFs Unknown -- 6.5 Productivity Analysis -- 6.5.1 Measuring Changes in TFP -- 6.5.2 Explaining Changes in TFP -- 6.6 Other Models -- 6.6.1 Metafrontier Models -- 6.6.2 Inefficiency Models -- 6.7 Summary and Further Reading -- References -- 7 Deterministic Frontier Analysis -- 7.1 Basic Models -- 7.1.1 Output-Oriented Models -- 7.1.2 Input-Oriented Models -- 7.1.3 Revenue-Oriented Models -- 7.1.4 Cost-Oriented Models -- 7.1.5 Profit-Oriented Models -- 7.2 Growth Accounting Estimation -- 7.2.1 Assumptions -- 7.2.2 Estimation -- 7.2.3 Toy Example -- 7.3 Least Squares Estimation -- 7.3.1 Assumptions -- 7.3.2 Estimation -- 7.3.3 Prediction -- 7.3.4 Hypothesis Tests -- 7.3.5 Toy Example -- 7.4 Maximum Likelihood Estimation -- 7.4.1 Assumptions -- 7.4.2 Estimation -- 7.4.3 Prediction -- 7.4.4 Hypothesis Tests -- 7.4.5 Toy Example -- 7.5 Productivity Analysis. 7.5.1 Measuring Changes in TFP -- 7.5.2 Explaining Changes in TFP -- 7.6 Other Models -- 7.6.1 Metafrontier Models -- 7.6.2 Output Supply Systems -- 7.6.3 Input Demand Systems -- 7.7 Summary and Further Reading -- References -- 8 Stochastic Frontier Analysis -- 8.1 Basic Models -- 8.1.1 Output-Oriented Models -- 8.1.2 Input-Oriented Models -- 8.1.3 Revenue-Oriented Models -- 8.1.4 Cost-Oriented Models -- 8.1.5 Profit-Oriented Models -- 8.2 Least Squares Estimation -- 8.2.1 Assumptions -- 8.2.2 Estimation -- 8.2.3 Prediction -- 8.2.4 Hypothesis Tests -- 8.2.5 Toy Example -- 8.3 Maximum Likelihood Estimation -- 8.3.1 Assumptions -- 8.3.2 Estimation -- 8.3.3 Prediction -- 8.3.4 Hypothesis Tests -- 8.3.5 Toy Example -- 8.4 Bayesian Estimation -- 8.4.1 Bayes's Theorem -- 8.4.2 The Likelihood Function -- 8.4.3 The Prior PDF -- 8.4.4 Marginal Posterior PDFs -- 8.4.5 Point Estimation -- 8.4.6 Interval Estimation -- 8.4.7 Assessing Alternative Hypotheses -- 8.4.8 Simulation -- 8.4.9 Toy Example -- 8.5 Productivity Analysis -- 8.5.1 Measuring Changes in TFP -- 8.5.2 Explaining Changes in TFP -- 8.6 Other Models -- 8.6.1 Metafrontier Models -- 8.6.2 Output Supply Systems -- 8.6.3 Input Demand Systems -- 8.6.4 Inefficiency Models -- 8.7 Summary and Further Reading -- References -- 9 Practical Considerations -- 9.1 The Main Steps -- 9.2 Government Policies -- 9.3 Rice Example -- References -- A -- A.1 Propositions -- A.2 Rates of Growth -- A.3 Exponential Random Variables -- A.4 Gamma Random Variables -- A.5 Normal Random Variables -- A.6 Half-Normal Random Variables -- A.7 Truncated-Normal Random Variables -- A.8 The Maximum of Bivariate-Normal Random Variables -- A.9 The Maximum of Independent Normal Random Variables -- References -- Author Index -- Subject Index. EBL202002 Information Transfer and Management SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5614165 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2710867 BOOK MIGRATED 2710812 SzGeCERN 20210421201005.0 9783319986876 electronic version electronic version 9783319986869 print version oai:cds.cern.ch:2710812 cerncds:BOOK EBL 5607451 eng QC71.82-73.8 621.31 Zambroni de Souza, Antonio Carlos Microgrids design and implementation Cham Springer International 2018 540 p ebook Intro -- Preface -- Contents -- Contributors -- Chapter 1: Electrical Power Systems: Evolution from Traditional Configuration to Distributed Generation and Microgrids -- 1.1 Evolution of Electrical Power Systems -- 1.2 Environmental Problems -- 1.3 Deregulation -- 1.4 Diverticalization -- 1.4.1 Generation -- 1.4.2 Transmission -- 1.4.3 Distribution -- 1.4.4 Independent System Operator -- 1.4.5 Energy Market -- 1.5 Power Electronics -- 1.5.1 Power Electronics Devices, Converters, and Applications -- 1.5.2 High-Voltage Direct Current -- 1.6 Distributed Generation -- 1.7 Renewable Energy -- 1.7.1 Wind Farms -- 1.7.2 Photovoltaic Systems -- 1.7.3 Fuel Cells -- 1.7.4 Energy Storage Systems -- 1.8 Information and Communication Technology -- 1.9 Microgrids -- 1.9.1 Structure and Operational Modes -- 1.9.2 AC vs DC Microgrids -- 1.9.3 Advantages and Challenges of Microgrids -- 1.10 Conclusions -- References -- Chapter 2: Renewable Energy Technologies for Microgrids -- 2.1 Introduction -- 2.2 Wind Power Generation -- 2.2.1 Wind Energy Development -- 2.2.2 Wind Energy Conversion -- 2.2.3 Wind Turbine Concepts -- 2.2.3.1 Type 1 (or A): Fixed Speed Wind Turbine -- 2.2.3.2 Type 2 (or B): Partial Variable Speed Wind Turbine with Variable Rotor Resistance -- 2.2.3.3 Type 3 (or C): Variable Speed Wind Turbine with Partial-Scale Power Converter -- 2.2.3.4 Type 4 (or D): Direct-in-Line Variable Speed Wind Turbine with Full-Scale Power Converter -- 2.2.4 Modeling of the Wind Power System -- 2.2.4.1 Wind Turbine -- 2.2.4.2 WT Power Conditioning System -- 2.2.4.3 Control Strategy of the Wind Power Generation System -- 2.3 Photovoltaic Solar Electricity Generation -- 2.3.1 Photovoltaic Solar Energy Development -- 2.3.2 Photovoltaic Solar Energy Conversion -- 2.3.3 Photovoltaic System Concepts -- 2.3.3.1 Centralized Inverter Topology -- 2.3.3.2 String Inverter Topology. 2.3.3.3 Multi-string Topology -- 2.3.3.4 Module-Integrated Topology -- 2.3.4 Modeling of the Photovoltaic Generation System -- 2.3.4.1 PV Array -- 2.3.4.2 PV Power Conditioning System -- 2.3.4.3 The Control Strategy of the PV Generation System -- 2.4 Conclusions -- References -- Chapter 3: Communication in Microgrids -- 3.1 Introduction -- 3.2 Communication Infrastructure -- 3.3 Communication Technologies for MGs -- 3.3.1 Wireless Technologies -- 3.3.2 Wired Technologies -- 3.4 Standards Related to MGs Communication -- 3.4.1 IEEE Std. 2030 -- 3.4.2 IEEE Std. 1547.3 -- 3.4.3 NISTIR 7628-1 -- 3.4.4 IEC 62351 -- 3.4.5 IEC 61850 -- 3.4.6 IEC 60870 -- 3.4.7 IEC 61968 -- 3.5 Interoperability -- 3.6 Security in MGs Communication -- 3.7 Agents and Peer-to-Peer Networks -- 3.7.1 Purely Unstructured Decentralized System -- 3.7.2 Purely Structured Decentralized System -- 3.7.3 Hybrid Systems Centralized Indexing -- 3.7.4 Hybrid Decentralized Indexing -- 3.8 Concluding Remarks -- References -- Chapter 4: Smart Metering Technology -- 4.1 Introduction -- 4.1.1 Evolution of Electricity Meters -- 4.2 Smart Metering Concept -- 4.3 Smart Metering Network -- 4.3.1 Microgrids -- 4.3.1.1 Active Demand Response Strategies for Microgrid Operation -- 4.3.2 Advanced Metering Infrastructure -- 4.4 Communication Technologies -- 4.4.1 Wired Communication Technologies -- 4.4.2 Wireless Communication Technologies -- 4.5 Security and Challenges in Smart Metering -- 4.6 Concluding Remarks -- References -- Chapter 5: Control of Power Converters in AC Microgrids -- 5.1 Introduction -- 5.2 Classification of Power Converters in AC Microgrids -- 5.2.1 Grid-Feeding Power Converters -- 5.2.2 Grid-Forming Power Converters -- 5.2.3 Application Scenarios -- 5.2.4 Power Converter Configurations -- 5.3 Control of Grid-Feeding Power Converters -- 5.3.1 General Control Scheme. 5.3.2 Current Control Loop -- 5.3.3 Power Control Loop -- 5.3.4 Voltage Control Loop -- 5.3.5 Frequency-Locked Loop -- 5.4 Control of Grid-Forming Power Converters -- 5.4.1 General Control Scheme -- 5.4.2 Voltage Control Loop -- 5.4.3 Droop Control Method -- 5.4.4 Virtual Impedance Control Loop -- 5.4.5 Phase-Locked Loop -- 5.5 Performance Evaluation -- 5.5.1 Microgrid Under Test -- 5.5.2 Microgrid in Islanded Mode -- 5.5.3 Microgrid in Grid-Connected Mode -- 5.6 Concluding Remarks -- References -- Chapter 6: Secondary Control for Islanded Microgrids -- 6.1 Introduction -- 6.2 Centralized Secondary Control -- 6.3 Distributed Secondary Control -- 6.3.1 Averaging Technique -- 6.3.2 Consensus Technique -- 6.4 Impact of Communications Properties -- 6.5 Secondary Control with No Communications -- 6.6 Experimental Demonstrations -- 6.6.1 Secondary Control Approaches -- 6.6.2 Impact of Communications Properties -- 6.6.3 Impact of DSP Clock Drifts -- 6.7 Concluding Remarks -- References -- Chapter 7: Energy Management in Microgrids -- 7.1 Introduction -- 7.2 Energy Management System -- 7.2.1 Load and Weather Forecasting Module -- 7.2.2 Historical Data Management Module -- 7.2.3 Demand Side Management (DSM) -- 7.2.4 State Estimation and Power Flow Module -- 7.2.5 Dispatch Module -- 7.3 Centralized and Decentralized Energy Management -- 7.4 The Energy Management Problem -- 7.5 Solution Strategies for the EM Problem -- 7.5.1 Classical Optimization Approaches -- 7.5.2 Convexification Approaches -- 7.5.3 Metaheuristics Approaches -- 7.6 Software for Energy Management in Microgrids -- 7.7 Standards for Control and Management of Microgrids -- 7.8 Concluding Remarks -- References -- Chapter 8: Emerging Control Technologies and Load Management in Microgrids -- 8.1 Introduction -- 8.2 Microgrid: A Building Block of the Smart Grid. 8.2.1 Overview of Microgrid Development -- 8.2.2 Multiple Microgrid Coordination -- 8.3 Emerging Control Technologies -- 8.3.1 Overvoltage Mitigation Solutions -- 8.3.2 Local vs. Coordination Controls -- 8.4 Specific Microgrid Cases -- 8.4.1 The Dutch Field Trial -- 8.4.2 The Solvenian Field Trial -- 8.5 Load Management -- 8.6 Microgrid Operation in Harsh Environments -- 8.7 EMS Load Management Control -- 8.8 Determining Priority Loads -- 8.8.1 Determining Operation Modes -- 8.9 Classification of Operation States -- 8.9.1 State of Charge of Storage Systems: C1 -- 8.9.2 Generation and Penetration of Renewable Energy: C2 and C3 -- 8.9.3 Time and Demand: C4 and C5 -- 8.9.4 Energy Management Policies Applied to Harsh Environments -- 8.10 Conclusion -- References -- Chapter 9: Procedures for Emergency Situations -- 9.1 Introduction -- 9.1.1 The CERTS Microgrid Concept and Architecture -- 9.1.2 The Europe Microgrid Approach -- 9.2 Microgrid Control for Emergency Operation -- 9.2.1 Microsources Classification Regarding Control -- 9.2.2 The Primary Control Level -- 9.2.3 The Secondary Frequency Control Level -- 9.2.4 Voltage Control -- 9.3 Exploiting Low Voltage MicroGrids for Service Restoration -- 9.3.1 MicroGrid Black Start -- 9.3.1.1 General Assumptions -- 9.3.1.2 Sequence of Actions for MicroGrid Black Start -- 9.3.2 Illustrative Example -- 9.4 Concluding Remarks -- References -- Chapter 10: Power Quality and Hosting Capacity in Islanding Microgrids -- 10.1 Introduction -- 10.2 Utilization and Operation of Islanded Distribution Systems -- 10.3 The Detection of Islanded Distribution Systems -- 10.4 Impacts of Islanded Distribution Systems -- 10.5 Power Flow: Frequency Instability -- 10.6 Harmonic Injection -- 10.7 Voltage Unbalance -- 10.7.1 IEEE Std 1547-2003-IEEE Standard for Interconnecting Distributed Resources with Electric Power Systems. 10.8 The Definition of Hosting Capacity Concept in Distribution Systems -- 10.8.1 The Local Hosting Capacity Considering the Voltage Rise Margin -- 10.8.2 The Local Hosting Capacity Considering the Harmonic Distortion -- 10.8.3 Voltage Rise Due to Harmonic Injection and Its Limits to Define the Local Hosting Capacity -- 10.8.4 Example of Global Hosting Capacity Calculus Considering the Voltage Rise Due to Harmonic Injection and Its Limits -- 10.9 Conclusions -- References -- Chapter 11: Stability Issues in Microgrids -- 11.1 Introduction -- 11.2 General Concepts of Stability in Microgrids -- 11.2.1 Stability Issues Classification -- 11.2.2 Stability Issues in Microgrids -- 11.2.2.1 Small-Signal Stability -- 11.2.2.2 Transient Stability -- 11.2.2.3 Reactive Power Management Stability -- 11.3 Studies Related to Stability Impacts on Microgrids -- 11.3.1 Impact of the DGUs in Distribution and Transmission Systems Stability -- 11.3.2 Type of Generation and Loads Connected -- 11.3.3 Rotor Angle, Voltage, and Frequency Stability -- 11.3.4 Modeling of the MG Elements -- 11.4 Control Strategies to Improve the MG Stability -- 11.4.1 Load Sharing Strategies and Robust Control Systems -- 11.4.2 Sizing and Siting of DGUs to Improve the Stability -- 11.4.3 Smart Grid Concept in Microgrids -- 11.5 Hierarchical Control to Improve Stability in MG -- 11.5.1 Primary Control Layer -- 11.5.2 Secondary and Tertiary Control Layers -- 11.6 Conclusions -- References -- Chapter 12: Microgrid Protection Schemes -- 12.1 Introduction -- 12.2 Protection Challenges -- 12.3 Protection Schemes -- 12.3.1 Distribution Systems Framework -- 12.3.2 Overcurrent Protection -- 12.3.3 Distance and Directional Protections -- 12.3.4 Differential Protection -- 12.3.5 Microgrid Protection Highlights -- 12.3.5.1 External Faults and Grid-Connected Mode. 12.3.5.2 Internal Faults and Grid-Connected Mode. EBL202002 Engineering SzGeCERN EBL Microgrids (Smart power grids)-Design EBL Microgrids (Smart power grids)-Design and construction BOOK Castilla, Miguel https://cds.cern.ch/auth.py?r=EBLIB_P_5607451 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2710812 BOOK MIGRATED 2710743 SzGeCERN 20210421201006.0 9783030047894 electronic version electronic version 9783030047887 print version oai:cds.cern.ch:2710743 cerncds:BOOK EBL 5603454 eng TA1-2040 006.3 Hatti, Mustapha Renewable energy for smart and sustainable cities artificial intelligence in renewable energetic systems Cham Springer 2018 571 p ebook Lecture notes in networks and systems 62 Intro -- Short Preface -- Short Biography -- Contents -- Artificial Intelligence -- The Approach Used for Comfortable and High Efficient Buildings in Sustainable Cities by Different Actors -- Abstract -- 1 Introduction -- 2 Problematic -- 3 Methodological Approach -- 4 Results and Discussion -- 4.1 Advice of Certain Researchers on Questions Launched on (researchGate.net) -- 4.2 Interpretation of the Answers to Interviews Conducted with Some Actors of Buildings on the Performance of Their Projects and Environmental Approach Followed -- 5 General Conclusion -- References -- Multi-agent Approach to Analysis Data from Social Media for Building Smart Cities -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Proposed Model for Social Big Data and Smart Cities -- 4 Experimentation and Results -- 5 Conclusion and Future Works -- References -- Parametrically Generated Building Designed in an Artificially Intelligent Environment -- Abstract -- 1 Introduction -- 2 The Philosophy of AI and Architecture -- 3 Method -- 3.1 The Analysis Phase -- 3.2 The Sketching Phase -- 3.3 The Synthesis Phase -- 4 Results -- 5 Conclusion -- References -- ESMRsc: Energy Aware and Stable Multipath Routing Protocol for Ad Hoc Networks in Smart City -- Abstract -- 1 Introduction -- 2 Multipath Energy-Aware and Stable Routing Protocols -- 3 Energy Aware and Stable Multipath Routing Protocol in Smart City -- 3.1 Multipath Routing Selection -- 3.1.1 Energy Aware Cost Function -- 3.1.2 Link Stability Aware Cost Function -- 3.1.3 Objective Problem Formulation -- 4 Performance Evaluation of ESMRsc -- 4.1 Mobility Model -- 4.2 Performance Parameters -- 4.3 Performance Evaluation -- 5 Conclusion -- References -- Development of a Connected Bracelet Managed by an Android Application -- Abstract -- 1 Introduction -- 1.1 Internet of Things -- 1.2 Android -- 1.3 Connected Bracelet. 1.4 Objectives of Connected Medical Bracelets -- 2 Why Connected Bracelet -- 3 System Components -- 3.1 Central Module -- 3.2 Detection Modules -- 4 System Architecture -- 5 Test and Result -- 6 Conclusion -- References -- Security Mechanisms for 6LoWPAN Network in Context of Internet of Things: A Survey -- Abstract -- 1 Introduction -- 2 6LoWPAN Network Overview -- 3 Related Surveys and Our Positioning -- 4 Security Requirements for 6LoWPAN Network -- 5 Challenges and Limits in the Usage of Classic Security Mechanisms -- 6 Taxonomy of Security Mechanisms for 6LoWPAN Network -- 6.1 Scenarios Under Consideration -- 6.2 Classification -- 6.2.1 The Security Mechanisms for Outside Communication in the 6LoWPAN Network -- 6.2.2 The Security Mechanisms for Inside Communication in the 6LoWPAN Network -- 6.3 End-to-End Security Protocols -- 6.3.1 The Proposed Techniques for DTLS Protocol -- 6.3.2 The Proposed Techniques for HIP Protocol -- 6.3.3 The Proposed Techniques for IPsec/IKE Protocol -- 6.4 Intrusion Detection Systems -- 6.4.1 Routing Attacks -- 6.4.2 DoS Attacks -- 6.4.3 Other Attacks -- 7 Evaluation of Security Mechanisms for 6LoWPAN Network in IoT Context -- 8 Discussion, Open Issue, Future Research Direction -- 9 Conclusion -- References -- Multi-biometric Template Protection: An Overview -- Abstract -- 1 Introduction -- 2 Template Protection -- 2.1 Biometric Cryptosystems (BCS) -- 2.2 Cancelable Biometrics -- 3 Multi-biometric Template Protection -- 4 Conclusion -- References -- Supply Chain Management a Help Tool Decision and These Impacts on the Transport and Safety of Merchandises in Algeria: Case of National Company of Industrial Vehicles -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Descriptive Study -- 2.2 Forecast Sales by the Box and Jenkins Method -- 2.3 Data Analysis -- 2.4 Presentation of the SNVI Group -- 3 Results and Discussion. 3.1 Descriptive Study -- 3.1.1 Graphic Presentation Sales of the Vehicle K66 -- 3.1.2 Multiplicative Decomposition of the K66 Series -- 3.2 Prediction of Sales Vehicle K66 by the Box and Jenkins Method -- 3.3 Prediction of Sales Vehicle Mini Car by the Box and Jenkins Method -- 4 Conclusion -- References -- A Human Behavior in Fire Building -- Abstract -- 1 Introduction -- 2 Results and Discussion -- 3 Conclusion -- Acknowledgements -- References -- Adaptive Governance for Attractive Smart City -- Abstract -- 1 Introduction -- 2 General on Systemic Adaptation -- 3 Management and Environment -- 4 AI and Adaptation -- 5 Applications to Good Governance of Cities -- 6 Retrospective and Outlook -- References -- Control and Sliding Mode Control -- Artificial Neural Networks Technique to Detect and Locate an Interturn Short-Circuit Fault in Induction Motor -- Abstract -- 1 Introduction -- 2 Squirel Cage Induction Motor Model for Stator Faults Detection -- 3 Artificial Neural Network for Stator Fault Detection and Location -- 4 Conclusion -- References -- Monitoring Tool for Stand-Alone Photovoltaic System Using Artificial Neural Network -- Abstract -- 1 Introduction -- 2 Description of SAPV System Data Acquisition -- 3 Proposed ANN Fault Classification -- 3.1 Data Normalization -- 3.2 ANN Approach -- 4 Results and Discussion -- 5 Conclusion -- References -- Prediction PV Power Based on Artificial Neural Networks -- Abstract -- 1 Introduction -- 2 Artificial Neural Networks -- 3 Photovoltaic Module Representing -- 4 Conclusion -- Acknowledgments -- References -- Application of Improved Artificial Neural Network Algorithm in Hydrocarbons' Reservoir Evaluation -- Abstract -- 1 Introduction -- 2 Overview of Well Logging Methods -- 2.1 Nuclear Logging Method -- 2.2 Neutron Logging Method -- 2.3 Sonic Logging Method -- 3 Importance of ANN in Oil Industry. 4 Characterization of Reservoir Lithofacies -- 5 Comparative Study ANN-Classical Techniques -- 5.1 Interpretation Using Conventional Techniques -- 5.2 Interpretation Using ANN -- 6 Conclusion -- References -- Fuzzy Logic Based MPPT for Grid-Connected PV System with Z-Source Inverter -- Abstract -- 1 Introduction -- 2 System Description and Modelling -- 2.1 PV Cell Modelling -- 2.2 PV Cell Specification -- 2.3 Fuzzy Logic Controller Based MPPT -- 2.4 Z-Source Inverter -- 3 System Configuration and Operating Principle -- 4 Simulation Results -- 5 Conclusion -- References -- Fuzzy Logic Control Scheme of Voltage Source Converter in a Grid Connected Solar Photovoltaic System -- Abstract -- 1 Introduction -- 2 System Structure -- 3 Proposed Fuzzy Controller Strategy -- 3.1 Fuzzy MPPT Controller -- 3.2 VSC Fuzzy Controller -- 4 Simulation -- 4.1 PV Array -- 4.2 DC-DC Converter -- 4.3 DC-AC Inverter -- 5 Conclusion -- References -- Fuzzy Logic Controller Based Perturb and Observe Algorithm for Photovoltaic Water Pump System -- Abstract -- 1 Introduction -- 2 The Proposed System -- 3 The Solar Model -- 4 DC Motor Model -- 5 Conventional Perturb and Observe Algorithm (P&O) -- 6 Fuzzy Logic Controller Based Perturb and Observe Algorithm (FP&O) -- 7 Simulation Results -- 8 Conclusion -- References -- A Genetic Algorithm Method for Optimal Distribution Reconfiguration Considering Photovoltaic Based DG Source in Smart Grid -- Abstract -- 1 Introduction -- 2 Problem Formulation -- 2.1 Objective Function -- 2.2 Equality and Inequality Constraints -- 2.3 Radiality and Connectivity Constraints -- 2.4 Preserving Solution Feasibility -- 3 Applied Approach -- 4 Simulations and Results -- 5 Conclusion -- References -- PV/Battery Water Pumping System Based on Firefly Optimizing Algorithm -- Abstract -- 1 Introduction -- 2 MPPT Control Based on ANN -- 3 Simulation Results. 4 Simulations Results -- 5 Conclusion -- References -- Innovative Renewables -- Real Time Implementation of Sliding Mode Supervised Fractional Controller for Wind Energy Conversion System -- Abstract -- 1 Introduction -- 2 Wind Energy Conversion System -- 2.1 Wind Turbine Model -- 2.2 Generator Model -- 2.3 Wind Turbine Emulator -- 3 Improved Current Vector Control -- 4 Design of the Proposed SMSF Controller -- 4.1 Conventional PI Controller -- 4.2 Fractional Order PI Controller -- 4.3 Sliding Mode Supervisor -- 5 Experimental Results -- 6 Conclusion -- Acknowledgements -- References -- Sliding Mode Control of DFIG Driven by Wind Turbine with SVM Inverter -- Abstract -- 1 Introduction -- 2 DFIG Field Oriented Control -- 3 Sliding Mode Control -- 3.1 Active Power Control by SMC -- 3.2 Reactive Power Control by SMC -- 4 Simulation Results -- 5 Conclusion -- Appendix -- DFIG Data: -- References -- A Hybrid of Sliding Mode Control and Fuzzy Logic Control for a Five-Phase Synchronous Motor Speed Control -- Abstract -- 1 Introduction -- 2 Model of Five Phase PMSM -- 3 Sliding Mode Speed Control of the Five-Phase PMSM -- 4 Fuzzy Sliding Mode Speed Control of the Five-Phase PMSM -- 5 Results and Discussions -- 6 Conclusion -- References -- Nonlinear Sliding Mode Control of DFIG Based on Wind Turbines -- Abstract -- 1 Introduction -- 2 Modeling of DFIG -- 3 Control Strategy of the DFIG -- 4 Controllers Syntheses -- 5 Results and Discussion -- 6 Conclusion -- Appendix -- References -- New Design of Neural Direct Power Control of DSIM Fed by Indirect Matrix Converter -- Abstract -- 1 Introduction -- 2 System Modeling -- 2.1 DSIM Model -- 2.2 Modelling of Indirect Matrix Converter (IMC) -- 3 Direct Power Control Strategy (DPC) -- 3.1 Control of Rectifier -- 3.2 Control of Inverter -- 4 DPC oF DSIM Obtained via the Artificial Neural Network Technique. 5 Simulation Results. EBL202002 Computing and Computers SzGeCERN EBL Artificial intelligence BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5603454 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2710743 BOOK MIGRATED 2710722 SzGeCERN 20210421201009.0 9789811310652 electronic version electronic version 9789811310645 print version oai:cds.cern.ch:2710722 cerncds:BOOK EBL 5598531 eng QH301-705 621.32254 Kozai, Toyoki Smart plant factory the next generation indoor vertical farms Singapore Springer 2018 441 p ebook Intro -- Acknowledgements -- Contents -- Part I: Characteristics of Current Plant Factories and Next Generation Plant Factory -- Chapter 1: Current Status of Plant Factories with Artificial Lighting (PFALs) and Smart PFALs -- 1.1 Introduction: Food, Resource, and Environment Trilemma -- 1.1.1 Contribution of Plant Factories with Artificial Lighting (PFALs) to Solving the Trilemma -- 1.1.2 Reducing the Loss of Fresh Vegetables in Urban Areas Using PFALs -- 1.1.3 Waste Produced in Urban Areas Can Be Used as Essential Resources for Plant Production -- 1.2 Characteristics and Main Components of the PFAL -- 1.2.1 Characteristics of the PFAL -- 1.2.2 Difference Between PFAL and PFSL -- 1.2.3 Main Components of the PFAL -- 1.3 Current Status of PFALs -- 1.3.1 Estimated Number of PFALs -- 1.3.2 Production Capacity, Production Cost, and Wholesale Price -- 1.3.3 Plants Suited to PFALs -- 1.4 Main Objectives and Outline of This Book -- 1.5 Image of the Smart PFAL -- 1.6 Expected Ultimate Functions of the Smart PFAL -- 1.7 Using Global Technology to Enhance the Quality of Local Culture and Technology -- 1.8 Conclusions -- References -- Chapter 2: Plant Factories with Artificial Lighting (PFALs): Benefits, Problems, and Challenges -- 2.1 Introduction -- 2.2 Potential and Actualized Benefits of the PFAL -- 2.3 Current Unsolved Problems of PFALs -- 2.3.1 Actions Required for Solving the Problems -- 2.3.2 Some Specific Technical Problems -- 2.4 Actions Required for Enhancing PFAL RandD and Business -- 2.5 Challenges for the Smart PFAL -- 2.6 Conclusion -- References -- Chapter 3: Protocols, Issues and Potential Improvements of Current Cultivation Systems -- 3.1 Introduction -- 3.2 Hydroponic System -- 3.2.1 Irrigation Methods -- 3.2.1.1 The Nutrient Film Technique (NFT) System -- 3.2.1.2 The Deep Flow Technique (DFT) System -- 3.2.1.3 Modified Hybrid System. 3.2.1.4 Spray System -- 3.2.1.5 Ebb and Flow System -- 3.2.1.6 Drip Irrigation System -- 3.2.1.7 Wicking System -- 3.2.2 Nutrient Solutions -- 3.2.2.1 Nutrient Composition -- 3.2.2.2 Electrical Conductivity (EC) -- 3.2.2.3 Management of pH -- 3.2.2.4 Nutrient Solution Temperature -- 3.3 Lighting System and Light Aspects -- 3.3.1 Photosynthetic Photon Flux Density (PPFD) and Light Period -- 3.3.2 Light Spectrum -- 3.4 Set Points of Air Temperature, VPD, CO2 Concentration and Air Current Speed -- 3.5 Air Conditioning System and Air Circulation -- 3.5.1 Air Conditioning System -- 3.5.2 Air Circulation -- 3.6 Salinity Control and Sterilization of Nutrient Solution -- 3.6.1 Salinity Control -- 3.6.2 Sterilization of Nutrient Solution -- 3.6.2.1 The UV Sterilization Method -- 3.6.2.2 The Ozone (O3) Sterilization Method -- 3.6.2.3 The Heat Sterilization Method -- 3.6.2.4 Silver/Titanium Oxide Utilization Method -- 3.6.2.5 Sand Filtration Method -- 3.6.2.6 Other Sterilization Methods -- 3.7 Floor Layout -- 3.8 Plant Species and Cultivars -- 3.9 Issues to Be Solved -- 3.9.1 Light -- 3.9.2 Temperature -- 3.9.3 Element Balance in Nutrient Solution -- 3.9.4 pH Adjustment -- 3.9.5 Algae -- 3.9.6 Tip Burn -- 3.9.7 Disease, Microbe and Insects -- 3.9.8 Seed Quality and Storage -- 3.10 Conclusion -- References -- Chapter 4: Design and Control of Smart Plant Factory -- 4.1 Introduction -- 4.1.1 General Control System Model -- 4.1.2 Disturbance -- 4.2 Control Models -- 4.2.1 Controlled Target of Smart Plant Factory -- 4.2.2 Model-Based Control -- 4.2.3 Hierarchical Control Model -- 4.2.4 Updating Control Models as PDCA Cycle -- 4.3 Three Fundamental Design Elements of Smart Plant Factory -- Chapter 5: Designing a Cultivation System Module (CSM) Considering the Cost Performance: A Step Toward Smart PFALs -- 5.1 Introduction -- 5.2 Improving the Cost Performance. 5.2.1 Reducing the Electricity and Labor Costs -- 5.2.2 Increasing the Annual Sales -- 5.3 Productivity, Production Costs, and Cost Performance -- 5.3.1 Productivity by Resource Element -- 5.3.2 Resource Element Consumption per kg of Produce -- 5.3.3 Production Cost and Cost Performance -- 5.3.4 Payback Period -- 5.4 Concept of Cultivation System Module (CSM) -- 5.4.1 Components of the Cultivation Room -- 5.4.2 Function and Configuration of the CSMs -- 5.5 Plant Production Process Measurement and Control in the CSM-L -- 5.6 Air Movement in the Cultivation Room and the CSM -- 5.6.1 Air Movement Effects on Plant Growth and Other Environmental Factors -- 5.6.2 Air Movement Around the Cultivation Racks -- 5.6.3 Air Movement over the Plant Canopy -- 5.6.4 Law of Similarity in Fluid Dynamics -- 5.6.5 Simplest Way to Avoid the Law of Similarity Issue -- 5.7 Basic Design Concept of the CSM-L for Scalable PFALs -- 5.7.1 Types of CSMs -- 5.7.2 Types of Nutrient Flow in the Cultivation Beds -- 5.7.3 LED Lighting System -- 5.7.4 Batch Production and Push/Pull Production -- 5.7.5 Automation and Robotization -- 5.7.6 Optical (Spectral) Sensing -- 5.8 Concluding Remarks -- References -- Part II: Recent Outcomes in Development and Business -- Chapter 6: Business Planning on Efficiency, Productivity, and Profitability -- 6.1 Introduction -- 6.2 Operational Efficiency -- 6.3 Business Planning Sheet -- 6.4 How to Analyze and What to Find from the Sheet -- 6.5 Operational Productivity -- 6.6 How to Achieve Business Profitability -- 6.7 PPF Productivity and Profitability -- 6.8 Man Hour Productivity and Profitability -- 6.9 Correlation of Efficiency and Productivity to Profitability -- 6.10 Sensitivity and Risk Analysis for Funding Raising -- 6.11 Conclusion -- References -- Chapter 7: Renewable Energy Makes Plant Factory ``Smart´´. 7.1 Introduction: Global Price Movement as Commodities -- 7.2 Smart Energy for Smart Plant Factory -- 7.3 Experimental Calculation -- 7.4 Conclusion -- Chapter 8: Total Indoor Farming Concepts for Large-Scale Production -- 8.1 Introduction -- 8.2 What Makes Plants Grow -- 8.3 Evaporation of Plants Indoors -- 8.4 Do We Really Need Far-Red Light in Indoor Farming? -- 8.5 The Plant Balance -- 8.6 Large-Scale Production Facility -- 8.7 Future Developments -- References -- Chapter 9: SAIBAIX: Production Process Management System -- 9.1 Introduction -- 9.2 System Description -- 9.2.1 Management of Plant Growth -- 9.2.2 Management of Production Process -- 9.2.3 Sales Management -- 9.3 Measurement of State and Rate Variables -- 9.4 Online Estimation of Resource-Use Efficiency and Cost Performance -- 9.5 Noninvasive (Camera Image) Measurement of Plants -- 9.6 Visualization for Production Process Management -- 9.7 Modeling, Multivariate Analysis, and Big Data Mining -- 9.8 Commercial Application Examples -- 9.9 Concluding Remarks -- References -- Chapter 10: Air Distribution and Its Uniformity -- 10.1 Introduction -- 10.1.1 Leaf Boundary Layer and Leaf Boundary Layer Resistance -- 10.1.2 Effects of Air Current Speed and Air Current Direction on Photosynthesis or/and Transpiration -- 10.1.3 Effects of Air Current Speed and Air Current Direction on Tipburn Prevention -- 10.2 Air Ventilation/Distribution System in PFALs -- 10.2.1 Air Movement -- 10.2.2 Air Distribution System -- 10.2.2.1 Overall Control -- Side Wall Supply and Extract -- Ceiling Supply and Extract -- 10.2.2.2 Localized Control -- Airflow/Cooling Fan -- Perforated Air Tube -- 10.3 Assessment of Air Distribution System -- 10.3.1 Air Exchange Effectiveness -- 10.3.2 Local Mean Age of Air -- 10.3.3 Efficiency of Heat Removal -- 10.3.4 Coefficient of Variation -- References. Part III: Re-considerations of Photosynthesis, LEDs, Units and Terminology -- Chapter 11: Reconsidering the Fundamental Characteristics of Photosynthesis and LEDs -- 11.1 Introduction -- 11.2 Absorption Spectra of Chlorophyll a/b and Carotenoids -- 11.3 Action Spectrum and Quantum Yield Spectrum of a Single Leaf -- 11.3.1 Action Spectrum (Gross Photosynthetic Rate per Photosynthetically Active Irradiance) -- 11.3.2 Quantum Yield -- 11.3.3 Quantum Yield for Green Light -- 11.3.4 Energy per Photon -- 11.3.5 Action Spectrum in Comparison with Quantum Yield Spectrum -- 11.3.6 Red Drop and Emerson Effect -- 11.4 Action Spectrum of Plant Canopy in PFALs -- 11.4.1 Action Spectrum of Plant Canopy -- 11.4.2 Spectral Sensitivities of PPFD and PAR Flux Density Meters -- 11.4.3 Action Spectrum of Plant Canopy in the PFAL -- 11.4.3.1 Multiple Reflection of Green Light in Cultivation Area -- 11.4.3.2 PPFD at the Canopy Surface as Affected by LAI and Reflectivity of Cultivation Area -- 11.5 Light-Emitting Diodes (LEDs) -- 11.5.1 Fundamental Properties of LEDs -- 11.5.2 Maximum Photosynthetic Photon Number Efficacy -- 11.5.3 White LEDs for Plant Lighting -- 11.5.4 White LEDs Do Not Emit White Light -- 11.6 Conclusion -- References -- Chapter 12: Reconsidering the Terminology and Units for Light and Nutrient Solution -- 12.1 Introduction -- 12.2 Light -- 12.2.1 Metrics of Light -- 12.2.1.1 Radiometry, Photometry, and Photonmetry -- 12.2.1.2 Photosynthetic Radiation Energy Efficacy and Photosynthetic Photon Number Efficiency -- 12.2.2 Technical Terms to Be Reconsidered -- 12.2.2.1 PPFD vs PPF -- 12.2.2.2 Light Intensity -- 12.2.2.3 PAR and PPF and PRF and PRFD -- 12.2.2.4 DLI (Daily Light Integral) -- 12.2.2.5 Lumen (lm) and Color Rendering Index (CRI or Ra) -- 12.2.2.6 Wavelength and Photon Number -- 12.2.2.7 Wavelength Range of Photosynthetic Radiation and Photon. 12.2.2.8 Quantum Yield and Photon Yield. EBL202002 Engineering SzGeCERN EBL Factories-Lighting BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5598531 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2710722 BOOK MIGRATED 2710707 SzGeCERN 20210421201011.0 9789811332814 electronic version electronic version 9789811332807 print version oai:cds.cern.ch:2710707 cerncds:BOOK EBL 5589275 eng QC71.82-73.8 621.312 Agarwal, Rashmi Avinash Pollutants from energy sources characterization and control Singapore Springer 2018 350 p ebook Energy, environment, and sustainability Intro -- Preface -- Contents -- Editors and Contributors -- General -- 1 Introduction to Pollutants from Energy Sources: Characterization and Control -- Abstract -- 1.1 Introduction -- 2 Combustion-Based Transportation in a Carbon-Constrained World- A Review -- Abstract -- 2.1 Introduction -- 2.1.1 History -- 2.1.2 Overview -- 2.2 The Regulatory Framework -- 2.2.1 Fuel Economy and CO2 Emission Standards for Road Transport -- 2.2.2 The Zero-Emission Mandates -- 2.2.3 Regulatory Framework for Aviation Sector -- 2.2.4 Regulatory Framework for Marine Sector -- 2.3 Developments in Transportation Sectors to Meet CO2 Emission Challenges -- 2.3.1 Recent Developments in Light-Duty Sector -- 2.3.2 Recent Developments in Heavy-Duty Sector -- 2.3.3 Recent Developments in Marine Sector -- 2.3.4 Recent Developments in Aviation Sector -- 2.4 Technology Trends of Internal Combustion Engines Toward High Efficiency -- 2.4.1 High-Efficiency SI Engine Research -- 2.4.1.1 Engine Downsizing -- 2.4.1.2 Lean Burn Technology -- 2.4.1.3 Government Level Initiatives (Co-optima Program) -- 2.4.2 High-Efficiency CI Engine Research -- 2.4.2.1 High-Efficiency Combustion Concepts -- 2.4.3 Eight-Stroke Engine Concept (High-Pressure Combustion) -- 2.5 Disruptions in Transportation Sector and Policy Implications -- 2.6 Conclusions -- References -- Pollutants from Coal -- 3 A Review on Pollutants from&!blank -- Coal Based Power Sector -- Abstract -- 3.1 Introduction -- 3.2 Insight from Previous Study -- 3.3 Continuous Emission Monitoring System -- 3.4 Stack Height for Small Boilers with Emission Limits (Central Pollution Control Board) -- 3.5 Guidelines for Pollution Prevention in Small Boilers (Central Pollution Control Board) -- 3.6 Control Techniques for Different Pollutants -- 3.7 Recommendations -- 3.8 Conclusion -- 3.9 Emerging New Areas -- References. 4 Atmospheric Emissions from Thermal (Coal-Fired) Power Plants and Associated Environmental Impacts -- Abstract -- 4.1 Introduction -- 4.2 Processes in Power Plants -- 4.2.1 Conditioning and Pulverization of Coal in Power Plant -- 4.2.2 Boiler -- 4.2.3 Fly Ash -- 4.2.4 Electrostatic Precipitator (ESP) -- 4.2.5 Sampling from Stack -- 4.3 Emissions and Their Characteristics -- 4.3.1 Characteristics of Gaseous Emissions -- 4.3.2 Characteristics of PM Emissions -- 4.4 Atmospheric and Health Impacts Due to Stack Emissions -- 4.4.1 Atmospheric Impacts -- 4.4.2 Health Impacts -- 4.5 Estimation of Power Plant Contribution in Ambient PM -- 4.6 Conclusion -- References -- 5 Polycyclic Aromatic Hydrocarbons (PAHs) Pollution Generated from Coal-Fired Thermal Power Plants: Formation Mechanism, Characterization, and Profiling -- Abstract -- 5.1 Introduction -- 5.2 Formation Mechanism of Coal and Hydrocarbons -- 5.3 Uses of Coal -- 5.4 Generation of PAHs During Coal Combustion -- 5.5 Why and How PAHs Are Harmful to Environment and Human? -- 5.6 Characterization and PAHs Profiling in Coal Ash -- 5.7 Conclusions -- References -- 6 Strategies for Collection, Treatment, and Recycling of Fly Ash from Thermal Power Plants -- Abstract -- 6.1 Introduction -- 6.2 Fly Ash as an Environmental Pollutant -- 6.3 Collection and Disposal of Fly Ash -- 6.4 Treatment -- 6.4.1 Washing Process -- 6.4.2 Leaching -- 6.4.3 Electrochemical Processes -- 6.4.4 Thermal Treatment -- 6.4.5 Solidification -- 6.4.6 Chemical Stabilization -- 6.5 Recycling of Fly Ash: Applications -- 6.5.1 Constructive Materials -- 6.6 Pollution Abatements by Fly Ash -- 6.6.1 Adsorbents for Flue Gas -- 6.6.2 Adsorption of Various Types of Heavy Metals and Fluorides on Fly Ash -- 6.7 Summary and Future Prospects -- References -- 7 Commercial Coal Mining in India Opened for Private Sector: A Boon or Inutile. Abstract -- 7.1 Introduction -- 7.1.1 History -- 7.1.2 Nationalizations of Coal Mines -- 7.1.3 Existing Scenario for Private Companies -- 7.2 The Proposed Policy -- 7.2.1 Need and Impact of New Policy -- 7.2.1.1 Need for Privatization -- 7.2.1.2 Impact of Privatization -- 7.2.1.3 Where Coal India Is Lagging -- 7.2.2 SWOT (Strength Weakness Opportunity Threat) Analysis -- 7.2.3 Advantages Proposed and/or Suggested Benefits of the Policy -- 7.3 Challenges to Private Coal Companies -- 7.3.1 Land Acquisition -- 7.3.2 Coal Demand Growth in Power Sector -- 7.3.3 Adverse Geology Can Constrain the Competitiveness of Future Coal Production -- 7.4 Environment and Forest Clearances -- 7.4.1 Environmental Norm's Violation -- 7.4.2 Threat Due to Privatization of Coal Sector -- 7.4.2.1 Environmental Threats -- 7.4.2.2 Socioeconomic Issues -- 7.5 Conclusions -- References -- 8 Development of Small-Scale Thermoelectric Power Generators Using Different Micro-combustor Configurations for Standalone Power Applications -- Abstract -- 8.1 Introduction -- 8.2 Working Principle of Micro-thermoelectric Power Generators -- 8.3 Development of Micro-combustors -- 8.3.1 Micro-combustor with Separate Heat Recirculation Cup -- 8.3.2 Integrated Micro-combustor-Heat Recirculation Cup Configurations -- 8.4 Integration of Thermoelectric Modules -- 8.4.1 Selection of Thermoelectric Modules -- 8.4.2 Power Generation Using Micro-combustor with a Separate Heating Cup -- 8.4.3 Power Generation Using Integrated Micro-combustor Configuration -- 8.4.3.1 Single Micro-combustor Configurations -- 8.4.3.2 Dual Micro-combustor -- 8.5 Conclusion -- References -- Pollutants from Nuclear Energy -- 9 Sources of Nuclear Pollutants and Their Controls -- Abstract -- 9.1 Introduction -- 9.2 Ventilation and Air-Cleaning Systems -- 9.3 Basic Flow Sheet for Ventilation Design. 9.4 Methods of Removing Vapours and Gases -- 9.5 New Developments -- 9.6 Conclusion -- References -- 10 Advanced Source Inversion Module of the JRODOS System -- Abstract -- 10.1 Introduction -- 10.2 Source Inversion Method -- 10.2.1 Source Term Estimation as an Inverse Problem -- 10.2.2 Nuclide Composition and Augmented Minimization Problem -- 10.2.3 Source-Receptor Matrix -- 10.2.3.1 SRM Calculation in Case of Concentration Measurements -- 10.2.3.2 SRM Calculation in Case of Deposition Measurements -- 10.2.3.3 SRM Calculation in Case of GDR Measurements -- 10.2.3.4 Reduction of Control Vector -- 10.2.4 Parameters of the Minimization Problem -- 10.2.4.1 First Guess Estimation of Source Term and Its Error Variances -- 10.2.4.2 Error Variances of Observed and Model-Calculated Values -- 10.2.4.3 Ratios of Release Rates for Different Nuclides and Corresponding Error Variances -- 10.2.5 Release Height Estimation -- 10.2.6 Minimization Method -- 10.3 Integration of the Source Inversion Module in the JRODOS System -- 10.3.1 Implementation of the Source Inversion Module (SIM) -- 10.3.1.1 SIM Structure -- 10.3.1.2 Workflow of Main Computational Blocks -- 10.3.2 SIM Integration in JRODOS -- 10.3.2.1 SIM Operation Within the JRODOS -- 10.3.2.2 User Interfaces -- 10.4 Results of Calculations -- 10.4.1 Description of the Test Cases -- 10.4.2 Testing of Source-Receptor Matrix -- 10.4.3 Results of Source Inversion with Adjusted Regularization Parameters -- 10.4.3.1 Source Term 1 -- 10.4.3.2 Source Term 2 -- 10.4.4 Results with Automatically Calculated Error Variances -- 10.5 Conclusions -- Acknowledgements -- References -- MSW and Disposal -- 11 Effective Utilization of High-Grade Energy Through Thermochemical Conversion of Different Wastes -- Abstract -- 11.1 Introduction -- 11.2 Environmental Impact of Waste Disposal and Energy Conversion. 11.2.1 Global Energy Status and Scenario -- 11.2.2 Environmental Impact of Waste Disposal -- 11.2.3 Importance of Waste to Energy Conversion -- 11.2.3.1 Chemical Method in Waste to Energy Conversion -- 11.2.3.2 Pyrolysis Technique in Waste to Energy Conversion -- 11.3 Thermochemical Conversion of Wastes and Its Pollution Formation -- 11.3.1 Impact of E-waste and Biomass Incineration -- 11.3.2 Pyrolysis of E-waste and Biomass -- 11.3.2.1 Conventional Pyrolysis Techniques -- 11.3.2.2 Microwave Pyrolysis -- 11.3.2.3 Challenges of Energy Recovery from the Pyrolysis -- 11.3.2.4 Effect of Pyrolysis and Its Pollution Formation -- 11.3.3 Thermochemical Reactors for Gasification of E-waste and Biomass -- 11.3.3.1 Updraft Gasifier -- 11.3.3.2 Downdraft Gasifier -- 11.3.3.3 Cross-Draft Gasifier -- 11.3.3.4 Challenges of Energy Recovery from Gasification -- 11.3.3.5 Influence of Gasification and Its Pollution Formation -- 11.4 Factors Affecting Thermochemical Conversion Process -- 11.4.1 Factors Affecting Microwave Pyrolysis -- 11.4.1.1 Influence of Temperature on Pyrolysis Yield -- 11.4.1.2 Effects of Heating Rate on Pyrolysis Yield -- 11.4.1.3 Effects of Microwave Absorber on Pyrolysis -- 11.4.2 Factors Affecting Gasification -- 11.4.2.1 Effects of Equivalence Ratio on Syngas -- 11.4.2.2 Effects of Biomass Size and Moisture Content -- 11.4.2.3 Effects of Gasification Temperature -- 11.4.2.4 Effects of Biomass Consumption Rate -- 11.5 Synthesis of Microwave Absorber from Waste Residues -- 11.5.1 Microwave Heating of the Carbon-Based Material -- 11.5.2 Synthesis of Carbon-Based Material from Ash and Char -- 11.5.3 Dielectric Properties of Carbon-Based Materials -- 11.5.4 Factors Influencing Dielectric Properties -- 11.5.5 Microwave Enhancement of Carbon Catalyst Reaction -- 11.5.6 Regeneration of Carbon Material. 11.6 Characterization of Alternate Fuels Derived from Thermochemical Conversion. EBL202002 Engineering SzGeCERN EBL Power-plants-Environmental aspects BOOK Agarwal, Avinash Kumar Gupta, Tarun Sharma, Nikhil https://cds.cern.ch/auth.py?r=EBLIB_P_5589275 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2710707 BOOK MIGRATED 2710683 SzGeCERN 20210421201014.0 9783319956961 electronic version electronic version 9783319956954 print version oai:cds.cern.ch:2710683 cerncds:BOOK EBL 5561508 eng QC71.82-73.8 621.31 Fox, Jessica Sustainable electricity II a conversation on tradeoffs Cham Springer 2018 252 p ebook EBL202002 Engineering SzGeCERN EBL Renewable energy sources EBL Sustainable development EBL Business ethics EBL Electric power-plants-Environmental aspects BOOK Scott, Morgan https://cds.cern.ch/auth.py?r=EBLIB_P_5561508 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2710683 BOOK MIGRATED 2710650 SzGeCERN 20210421201018.0 9783319932668 electronic version electronic version 9783319932651 print version oai:cds.cern.ch:2710650 cerncds:BOOK EBL 5529500 eng HF4999.2-6182 658.408 Arvidsson, Susanne Challenges in managing sustainable business reporting, taxation, ethics and governance Cham Springer International 2018 419 p ebook Intro -- Preface: A Background to the Challenges in Managing Sustainable Business -- Contents -- Notes on Contributors -- List of Figures -- List of Tables -- Part I Sustainability Reporting -- An Exposé of the Challenging Practice Development of Sustainability Reporting: From the First Wave to the EU Directive (2014/95/EU) -- Introduction -- A Theoretical Background to Why Companies (Should) Engage in Sustainability Reporting -- Sustainability Reporting: A Voluntary Reporting Practice Often Met with Scepticism -- A Fierce Development of Voluntary-Sustainability Standards -- Mandatory Requirements: A Quick Fix? -- Sustainability Reporting and the Transformation Towards More Sustainable Businesses: A Financial Market Perspective -- Enhancing Sustainability Reporting Through the New EU Directive (2014/95/EU) -- Concluding Remarks -- References -- Integrated Reporting and Integrating Thinking: Practical Challenges -- Introduction -- Challenges for Integrated Thinking -- Understanding Integrated Thinking and Connectivity -- Connectivity and the Incomplete Space of Accounting -- Integrated Thinking Vs. Internal Practices -- Form and Substance -- Trust and Credibility -- Conclusions and Implications for Research -- Rethinking Integrated Thinking to Advance a Third Stage of Research -- Research Opportunities Addressing the Challenges of Integrated Thinking -- Understanding Integrated Thinking and Connectivity -- Connectivity and the Incomplete Space of Accounting -- Integrated Thinking Vs. Internal Practices -- Form and Substance -- Trust and Credibility -- Concluding Remarks and Limitations -- References -- Human Capital Disclosures in Swedish State-Owned Enterprises-A Comparison of Integrated Reporting Versus Traditional Reporting -- Introduction. Corporate Social Reporting in the Light of Global Reporting Initiative and Integrated Reporting -- Integrated Reporting's Revitalization of Human Capital Reporting -- Swedish State-Owned Enterprises and Corporate Social Reporting -- Studying the Level of Human Capital Disclosures in Corporate Reports -- Empirical Findings on Human Capital in Swedish State-Owned Entities' Corporate Reports -- Conclusions -- References -- Sense-Making and Sense-Giving: Reaching Through the Smokescreen of Sustainability Disclosure in the Stock Market -- Financial Analysts Face a Smokescreen of Sustainability Information -- Corporate Financial Information and Non-financial Information: The Birth of Sustainability Information -- Corporate Disclosure: A Remedy for Decreasing Information Asymmetry in the Information Flow -- Financial Analysts Play a Central Role in Sustainability Reporting -- The Financial Analyst's Work -- Buy-Side Analysts-The In-House Generalist Group of Analysts -- Sell-Side Analysts-The External Specialist Group of Analysts -- The Cognitive Foundations: An Introduction to the Concepts -- Sense-Making as a Concept -- Sense-Giving as a Concept -- Legitimacy as a Concept -- Analysts' Cognitive Frames in the Early 2000s -- Social Pressure on Companies to Report on Sustainability Information -- Cognitive Dissonance Due to a Lack of Cognitive Legitimacy -- A Shift Towards Enhances Cognitive Legitimacy in Sense-Making and Sense-Giving -- Increased Societal Pressure for More Sustainability Focus -- Management and Institutional Investors Forced to Make Sense and Give Sense -- Analysts' Cognitive Frames: Sustainability Becomes Cognitive Legitimated -- Cognitive Foundations and a Promising Future Ahead -- References -- Changing Financial Firms Relative to ESG Issues -- Introduction -- 'Behavioral Theory of the Financial Firm'. Influencing Financial Firms to Achieve ESG Outcomes -- Influencing Learning and Strategic Dynamics to Reflect ESG Issues -- Climate Change as an Example of Learning and Financial Firm Redesign -- 'Hard' Risks -- 'Soft' Risks -- Current Problems -- Influencing Operational Dynamics to Reflect ESG Issues -- The Need for Transparency -- Summary -- References -- Part II Sustainability Assurance -- Sustainability Assurance: Who Are the Assurance Providers and What Do They Do? -- Introduction -- Sustainability Assurance Provider Types -- Knowledge of Assurance, Client Operations and Sustainability Reporting -- Size Advantage of ASAPs -- Independence and Objectivity -- Stakeholder Perspectives on Sustainability Assurance Providers -- Impact on Sustainability Report Quality -- Approach to Conducting Sustainability Assurance Engagements -- Conclusion -- References -- A Critical Perspective on Sustainability Assurance -- Introduction -- What Do We Mean by Assurance? -- Assurance as a Theory of Audit Practice: The Agency Theory Perspective -- The Theoretical Value of Sustainability Reporting (Standards) -- Sustainability Assurance Standards -- What Assurance Is Not -- Conclusion: The Challenge with Sustainability Assurance -- Meeting the Challenge: A Sustainability Audit Beyond Agency Theory -- References -- Part III Sustainable Finance -- Engagement Dialogue as a Nordic Sustainable and Responsible Investment (SRI) Strategy -- Background -- Active Ownership -- Forms of Active Ownership -- The Nordic Governance Model -- The Theoretical Underpinnings of Engagement Dialogue -- Prior Empirical Activism Studies -- Analysis of Engagement Dialogue -- The Process Model of Nordic Engagement Dialogue -- The Determinants and Outcomes of Nordic Engagement Dialogue -- Nordic Engagements in an Anglo-Saxon Perspective -- Chapter Summary -- References. Sustainable Business Practices-An Environmental Economics Perspective -- Introduction -- The Firm's Motivation for CSR -- CSR: Four Relevant Issues -- May Firms Sacrifice Profits in the Social Interest? -- Is It Economically Sustainable That Firms Practice CSR? -- Should Firms Engage in CSR from a Welfare Point of View? -- Do We Actually See That CSR Is Being Practiced? -- Empirical Research on CSR -- CSR, Financial Performance, and Competitiveness -- Empirical Research and Strategic CSR -- Concluding Remarks -- References -- Will the Banker Become a Climate Activist? -- Introduction -- How Climate Becomes Material for Banks -- The Materiality Concept -- The "Shadow Materiality" of Climate -- Toward Increased Materiality of Climate -- Integrating Climate in Bank Risk Management -- Debt Capital -- How Climate Materializes into Financial Risks -- Translating Climate Factors into Credit Quality -- Climate Becomes Market Risks -- Stranded Assets -- The Climate Minsky Moment -- Increased Demand for Corporate Climate Information -- Concluding Discussion -- References -- Investing in Sustainable Infrastructure -- Introduction -- Responsible and Impact Investors -- Investment Opportunities in Sustainable Infrastructure -- Green Bonds -- Private-Public Partnerships -- Innovative Infrastructure Financing Models -- Financial Returns from Infrastructure Impact Investment -- Challenges to Investment in Sustainable Infrastructure -- Conclusion -- References -- Part IV Anti-corruption and Business Ethics -- Anti-corruption: Who Cares? -- Introduction: Against Corruption! -- The World of Corruption and Anti-corruption -- Why Care About Corruption? -- The Definition of Corruption -- What Is 'Corruption Fighting'? -- Deciding Which Corruption to Fight -- Rethinking Transparency -- Conclusions: Caring About Corruption -- References. Rationalizing Deviances-Avoiding Responsibility -- The Construction of Social Facts -- Rationalizing Deviance -- A Vicious Circle? -- Cultural Explanations -- Individual Explanations -- "Moral Space" as a Solution? -- Self-Analysis as a Solution? -- The Deceived Crowd -- Entertaining Doubts -- References -- Organizational Anti-corruption: De-normalization Through Anxiety, Superego, Courage and Justice -- Introduction -- Normalization: Rationalization, Institutionalization and Socialization -- Anti-corruption as De-normalization: De-rationalization, De-institutionalization and De-socialization -- De-rationalization -- De-institutionalization -- De-socialization -- Anti-corruption Subject Positions -- Conclusions -- References -- Part V Ethical Taxation and Tax Transparency -- Sustainable Tax Governance and Transparency -- Introduction -- Sustainable Tax Legislation -- Sustainable Development and Taxation -- Corporations and Sustainable Tax Governance -- (Corporate) Power and Accountability -- Transparency -- Tax, Transparency and Disclosure Obligations -- Good Tax Governance and Transparency -- Conclusion -- References -- Perspectives on Corporate Taxation from a Sustainable Business Perspective -- Introductory Remarks -- What Is Rule of Law -- Why Is It Important to Stress the Value of the Rule of Law Concept in Tax Matters -- Introduction -- Arguments in Favor of a Strictly Rule-Based Tax System -- Introduction -- The Functions and Desired Outcomes of the Rule of Tax Law -- Shortcomings of the Rule of Tax Law -- The Role of CSR and Ethics in Order to Minimize Tax Avoidance-Possibilities and Challenges -- Introduction -- Money, Punishment, or Morale-What Is the Taxpaying Motif? -- Corporate Tax Morale and Corporate Tax Behavior -- Tax Policies and Tax Strategies-A Few Examples -- Conclusion -- References -- Index. EBL202002 Information Transfer and Management SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5529500 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2710650 BOOK MIGRATED 2710648 SzGeCERN 20210421201019.0 9783030002534 electronic version electronic version 9783030002527 print version oai:cds.cern.ch:2710648 cerncds:BOOK EBL 5529494 eng TA1-2040 004.6 Kharchenko, Vyacheslav Green IT engineering Cham Springer International 2018 602 p ebook Studies in systems, decision and control 171 Intro -- Preface -- Contents -- Development and Optimization of Green IT Systems -- 1 Including Software Aspects in Green IT: How to Create Awareness for Green Software Issues -- Abstract -- 1 Introduction -- 2 State of the Art: Green Software and Its Field of Research -- 2.1 Definitions for Green and Sustainable Software: Overview, Commonalities, and Distinctions -- 2.2 Green Software Models: Quality Models, Development Models, and Reference Model -- 3 Creating Awareness of Green Software: Life Cycle Perspective -- 3.1 Development: Continuous Energy Efficiency Measurements -- 3.2 Distribution and Usage: Labelling Green Software Products -- 4 Conclusion and Outlook -- References -- 2 Information Technology for Evaluating the Computer Energy Consumption at the Stage of Software Development -- Abstract -- 1 Introduction -- 2 State of the Art -- 2.1 The Problems of Estimating the Consumed Electricity -- 2.2 Ways to Reduce RAM Power Consumption -- 3 Information Technology for Evaluating the Computer Energy Consumption -- 3.1 Methodological Foundations of the Information Technology -- 3.2 Description of the Information Technology -- 4 Program Tool for Evaluating the Computer Energy Consumption -- 4.1 ESTET Classes Description -- 4.2 Working with ESTET Program Tool -- 5 Conclusion and Future Works -- References -- 3 Green IT Engineering: Green Wireless Cooperative Networks -- Abstract -- 1 Introduction -- 1.1 Single-Antenna Scenario -- 1.2 Multi-antenna Scenario -- 2 Heuristic Mechanism in CoMP -- 2.1 Centralized Cooperative BS Clustering -- 2.2 Distributed Cooperative BS Clustering -- 2.3 Nash Non-cooperative Power Game -- 2.4 Case Study -- 3 Optimization in Wireless Cooperative Networks -- 3.1 Optimization Model -- 3.2 Optimization via Geometric Programming -- 3.3 Case Study -- 4 Conclusion -- References. 4 Checkable FPGA Design: Energy Consumption, Throughput and Trustworthiness -- Abstract -- 1 Introduction -- 1.1 Motivation -- 1.2 Related Works -- 1.3 Goal and Structure -- 2 Bitwise Pipelines Versus Array Structures -- 2.1 Comparative Analysis of Matrix Circuits and Bitwise Pipelines -- 2.2 A Method of Increase in Energy Efficiency of the Bitwise Pipeline Multiplier -- 3 On-Line Testing Methods for Digital Components Safety Increase -- 3.1 Requirements to On-Line Testing of Safety-Related Systems -- 3.2 Checking Mantissas by Inequalities in Truncated Operations -- 4 The Hidden Faults in FPGA Projects: Problem and Decision -- 5 The Integrity Monitoring of LUT-Oriented IO -- 6 Conclusions -- References -- 5 A Prospective Lightweight Block Cipher for Green IT Engineering -- Abstract -- 1 Introduction -- 2 Characteristics and Parameters of Block Symmetric Ciphers -- 3 A Post Quantum Lightweight Block Cipher Cypress -- 3.1 The Requirements to the Prospective Lightweight Block Cipher -- 3.2 The General Parameters of the Block Cipher Cypress -- 3.3 The Encryption Algorithm -- 3.4 The Key Schedule -- 3.5 Cypress Statistical Properties -- 3.6 Cypress Avalanche Effect Properties -- 3.7 Cypress Performance Analysis -- 4 Conclusions -- References -- 6 Lightweight Stream Ciphers for Green IT Engineering -- Abstract -- 1 Introduction -- 2 Formalization Stream Crypto Transformation -- 2.1 Model of Synchronous Stream Symmetric Cipher -- 2.2 The Model of the Synchronous Keystream Generator in Accordance with ISO/IEC 18033-4 -- 2.3 The Model of Self-synchronizing Keystream Generators -- 2.4 The Model of the Self-synchronizing Keystream Generator ISO/IEC 18033-4 -- 3 Review of Stream Ciphers -- 4 Test Results -- 5 NLFSR as the Basic Element of Promising Stream Ciphers in Lightweight Cryptography -- 5.1 The Method of NLFSR Synthesis with the Given Characteristics. 5.2 M-NLFSR Synthesis Results -- 6 Conclusions -- References -- Modelling and Experiments with Green IT Systems -- 7 Semi-Markov Availability Model for Infrastructure as a Service Cloud Considering Energy Performance -- Abstract -- 1 Introduction -- 1.1 Motivation -- 1.2 State-of-the-Arts -- 1.3 Goal and Structure -- 2 Approach for Availability Analysis of IaaS Cloud -- 3 Monolithic Semi-Markov Availability Model for IaaS Cloud with Three Pools of Physical and Virtual Machines -- 4 Stochastic Energy Performance Model of the IaaS Cloud -- 5 Numerical Modeling Illustration -- 6 Conclusions and Future Researches -- References -- 8 Improving Big Data Centers Energy Efficiency: Traffic Based Model and Method -- Abstract -- 1 Introduction -- 1.1 Motivation -- 1.2 Analysis of Related Works -- 1.3 Goals and Structure -- 2 Traffic Models in Big Data Centers -- 2.1 Static Model of Single Source Traffic -- 2.2 Spline Interpolation of Big Data Centers Traffic -- 2.3 The Synthesis of Dynamic Two-Dimensional Model of Big Data Center Traffic -- 3 Improving Energy Efficiency of Big Data Centers -- 3.1 Method of Aggregated Traffic Spikes Characterization -- 3.2 Analysis of Big Data Centers Energy Efficiency Increase Based on Constructed Models -- 4 Conclusions -- References -- 9 A Markov Model of IoT System Availability Considering DDoS Attacks, Patching and Energy Modes -- Abstract -- 1 Description of Motivation -- 2 Goals of Researching -- 3 Requirements to SBC Organization -- 4 Features of Energy-Efficient IoT Systems Organization -- 4.1 Low-Power, Wide-Area Technologies -- 4.2 Standby Mode in the Components of IoT Network -- 4.3 Operating System Power State Definitions -- 4.4 Device Power States -- 4.5 Router Power Modes -- 4.6 Processor Power State Definitions -- 4.7 Server State Definitions -- 4.8 Global System State Definitions. 5 Mitigation and Protection Methods from Attacks on Components of IoT System -- 6 Development of the Model -- 6.1 A Markov Model of SBC Subsystems Functioning -- 6.2 Simulation Results -- 7 Conclusion and the Future Work -- References -- 10 Assessing the Impact of EEE Standard on Energy Consumed by Commercial Grade Network Switches -- Abstract -- 1 Introduction -- 1.1 Background -- 1.2 Motivation -- 1.3 Problem Definition -- 1.4 Delimitations -- 2 Related Work -- 3 Underlying Theories -- 3.1 Unidirectional Versus Bidirectional EEE -- 3.2 Modelling Power (and Energy) Consumption -- 3.3 Linear Regression Analysis -- 4 Methodology -- 4.1 Measurement Tools -- 4.2 Power Profiling of Switch Ports -- 4.3 Power Measurement of Switch with Different Traffic Patterns -- 4.4 Compare Power Savings -- 5 Results and Discussion -- 5.1 Power Profiling of Switch with 24 Ports (NO EEE and (with) EEE) -- 5.2 Power Measurement of Switch According to Traffic Throughput -- 5.3 Overview of Power Consumption of EEE-Enabled Switches -- 5.4 Comparison of Power Consumption of 24-Port and 48-Port Switches (with and Without EEE) -- 5.5 Estimated Power (and Energy) Consumption Models -- 5.6 Deployment of the Power (and Energy) Models to Estimate Power (and Energy Savings) -- 6 Conclusion -- Acknowledgements -- References -- 11 Mobile Phones and Energy Consumption -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Tools -- 3.2 Windows Phone Application Analysis Tool -- 3.3 Microsoft Expression Design 4 -- 3.4 Experiments -- 4 Results and Discussion -- 4.1 Visual Object Storing -- 4.2 Control Hiding -- 4.3 Progress Bar Consumption -- 4.4 Image Format -- 4.5 Loop Instructions -- 4.6 Threads -- 4.7 Function Type -- 4.8 Storing Images -- 4.9 Image Format (JPG and PNG) in Clouds -- 4.10 Images-Multiple Access -- 4.11 Heavy Processing Operation. 4.12 Decoding Threads -- 4.13 Animations -- 5 Conclusions -- Acknowledgements -- References -- 12 Energy-Efficient Multi-fragment Markov Model Guided Online Model-Based Testing for MPSoC -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Online Model-Based Testing -- 3.2 Multi-fragment Markov Models -- 3.3 Uppaal Probabilistic Timed Automata -- 4 Availability MFMM of Bonfire MPSoC and Mapping to UPTA -- 4.1 Bonfire MPSoC -- 4.2 Availability MFMM of Bonfire MPSoC -- 4.3 Mapping Bonfire Availability MFMM to UPTA -- 5 UPTA Models of the Bonfire MPSoC Execution Modes -- 5.1 Normal Mode -- 5.2 Degraded Mode -- 5.3 Low Mode -- 6 Minimal Distinguishing Test Fragment -- 7 The Ordering of Mode Tests -- 8 Evaluation of the Method with Bonfire Case Study -- 8.1 Definition of Minimal Distinguishing Test Fragments -- 8.1.1 Normal Mode -- 8.1.2 Degraded Mode -- 8.1.3 Low Mode -- 8.2 Ordering of Test Cases by Their Priorities and Durations -- 9 Bonfire MPSoC Online Testing Harness -- 10 Conclusions -- Acknowledgements -- References -- 13 Decrease of Energy Consumption of Transport Telecommunication Networks Using Stage-by-Stage Controlling Procedure -- Abstract -- 1 Introduction -- 2 State of the Art -- 3 An Approach -- 4 Problem Statement -- 5 Problem Solution -- 5.1 Defining of Decision Rule for Identification System -- 5.2 Method of Errors Optimization of Identification System Conditions Monitoring and Determination of Optimal Thresholds Classification -- 5.2.1 Solution of Optimization Task for n Stages -- 5.2.2 Solution of Condition Monitoring Identification Problem on the Example of a Two-Stage Procedure -- 5.2.3 Determination of Intellectual Agents Sending Numbers -- 6 Reduction of Control Information Volume Due to the Usage of Stage-by-Stage Classification -- 7 An Example -- 8 Conclusion -- References. 14 Model and Methods of Human-Centered Personal Computers Adaptive Power Control. EBL202002 Computing and Computers SzGeCERN EBL Computer networks-Management EBL Systems engineering-Environmental aspects BOOK Kondratenko, Yuriy Kacprzyk, Janusz https://cds.cern.ch/auth.py?r=EBLIB_P_5529494 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2710648 BOOK MIGRATED 2710644 SzGeCERN 20210421201019.0 9783319930190 electronic version electronic version 9783319930183 print version oai:cds.cern.ch:2710644 cerncds:BOOK EBL 5528917 eng HB71-74 658.4083 Horbach, Jens New developments in eco-innovation research Cham Springer 2018 305 p ebook Sustainability and innovation Intro -- Contents -- List of Contributors -- List of Figures -- List of Tables -- Chapter 1: New Developments in Eco-Innovation Research: Aim of the Book and Overview of the Different Chapters -- 1.1 Introduction -- 1.2 Current State of the Art in Eco-Innovation -- 1.3 New Empirical Findings and Ways Forward -- References -- Chapter 2: Changing Patterns in Eco-Innovation Research: A Bibliometric Analysis -- 2.1 Introduction -- 2.2 A Review of the Reviews: Empirical Background -- 2.2.1 Methodological Reviews -- 2.2.2 Firm-Centered Reviews -- 2.2.3 Technological: Industrial/Sectoral Reviews -- 2.2.3.1 Iron and Steel Industry -- 2.2.3.2 Transport -- 2.2.3.3 IT -- 2.2.3.4 Food/Agriculture -- 2.2.3.5 Tourism -- 2.2.4 Science-Based Reviews -- 2.2.5 Diffusion-Centered Reviews -- 2.2.6 Policy (Tools and Instruments)-Centered Reviews -- 2.3 Data and Method -- 2.3.1 Data -- 2.3.1.1 Data Source -- 2.3.1.2 Retrieving Data -- 2.3.1.3 Limitations of the Retrieved Data -- 2.3.2 Method -- 2.4 Findings and Discussions -- 2.4.1 Variety/Diversity and Selection -- 2.4.2 Comparative Content Analysis: Eco-Innovation and Environmental Innovation -- 2.4.3 A Network Analysis of Temporal Dynamics and Influence of the Authors´ Keywords in Eco-innovation Reviews (n: 24 Reviews) -- 2.4.4 Overall Eco-Innovation Research -- 2.4.5 A Multi-level Centrality Analysis: Authors, Organizations, Journals, and Countries -- 2.4.6 Classical Political Economy of Eco-Innovation Scientific Knowledge -- 2.4.6.1 Finance -- Who Funds the Eco-Innovation Research? -- 2.4.6.2 Who Produces the Eco-Innovation Scientific Knowledge? -- 2.4.6.3 Who Disseminates the Eco-Innovation Research? -- 2.4.6.4 Who Uses/Cites Eco-Innovation Research? -- 2.5 Conclusions -- References -- Chapter 3: On the Economic Returns of Eco-Innovation: Where Do We Stand? -- 3.1 Introduction. 3.2 Eco-Innovation and Economic Returns -- 3.2.1 Profitability and Productivity Returns -- 3.2.2 For Whom and When It Pays to Be Green -- 3.2.3 Employment Effects and ``Green Jobs´´ -- 3.3 New Evidence on Community Innovation Survey 2008 and 2014 Data -- 3.3.1 Data and Descriptive Evidence -- 3.3.2 Empirical Analysis -- 3.3.3 Main Results and Discussion -- 3.4 Conclusion and New Research Lines -- References -- Chapter 4: Shaping System Innovation: Transformative Environmental Policies -- 4.1 Introduction -- 4.2 Transformation to Sustainability -- 4.3 The Role of Public Policies in Transformation -- 4.4 Shaping Transformation: Possible Policy Approaches -- 4.5 Conclusions -- References -- Chapter 5: Outlook: Can Environmental Product Standards Enable Eco-Innovation? -- 5.1 Sustainability Challenge -- 5.1.1 Mandatory Environmental Product Standards (MEPS) -- 5.1.2 Voluntary Environmental Product Standards (VEPS) -- 5.1.3 Qualitative Labels -- 5.1.4 Quantitative Labels -- 5.1.5 Type II Labels -- 5.1.6 Others -- 5.1.7 Seafood -- 5.1.8 Coffee, Fruits and Vegetables -- 5.1.9 Forest Products -- 5.1.10 Appliances -- 5.1.11 Classification by Impact on the Market -- 5.2 Eco-Innovation in Practice -- 5.2.1 Eco-Innovation Impact -- 5.2.1.1 Industry and Market Studies -- 5.2.1.2 Consumer Surveys -- 5.3 Eco-Innovation Challenge -- 5.3.1 Drivers, Benefits and Barriers to Eco-Innovation -- 5.3.1.1 Drivers of Adopting EPS -- 5.3.1.2 Benefits of EPS -- 5.3.1.3 Barriers to EPS -- 5.3.2 Trade and EPS -- 5.3.3 Eco-Innovation Gap: New Insights from Behavioral Economics -- 5.3.3.1 Impact of Cognitive Biases on Information Perception -- 5.3.3.2 Insights from Experimental Evidence -- 5.4 What Can Policy Makers Do? -- 5.5 Summary -- References -- Chapter 6: Disentangling Technological Innovations: A Micro-Econometric Analysis of their Determinants -- 6.1 Introduction. 6.2 Conceptual Framework and Literature Review -- 6.2.1 Definition of Innovations -- 6.2.2 Determinants of Technological Innovations -- 6.2.3 Data and Variables -- 6.3 Econometric Analysis -- 6.3.1 Econometric Approaches -- 6.3.2 Estimation Results -- 6.3.3 Alternative Model Specifications and Robustness Checks -- 6.4 Conclusions -- Appendix: Multivariate (Binary) Probit Models -- References -- Chapter 7: The Impact of Resource Efficiency Measures on the Performance of Small and Medium-Sized Enterprises -- 7.1 Introduction -- 7.2 The Effects of Eco-Innovations on Performance: Theoretical Considerations and Literature Overview -- 7.3 Empirical Analysis -- 7.3.1 Data Basis and Descriptive Statistics -- 7.3.2 Econometric Model and Estimation Results -- 7.4 Summary and Conclusions -- Appendix: Description of the Variables -- References -- Chapter 8: Good Enough! Are Socially Responsible Companies the More Successful Environmental Innovators? -- 8.1 Introduction -- 8.1.1 Related Literature -- 8.1.2 Hypothesis and Basic Complementary Model -- 8.2 Database and Choice of Variables -- 8.2.1 Database -- 8.2.2 Choice of Variables -- 8.2.2.1 Dependent Variable Financial Performance -- 8.2.2.2 Environmental Innovation and CSR -- 8.2.2.3 Explanatory and Control Variables -- 8.3 Results -- 8.3.1 Descriptive Statistics -- 8.3.2 Estimation Strategy -- 8.3.3 Empirical Results -- 8.3.4 Robustness Checks -- 8.4 Discussion and Concluding Remarks -- Appendix -- GMM Estimators -- Anderson-Hsiao Estimator -- References -- Chapter 9: Environmental Innovation and Corporate Sustainability: A 15-Year Comparison Based on Survey Data -- 9.1 Introduction -- 9.2 Literature Review -- 9.3 Data and Method -- 9.4 Analysis -- 9.4.1 Ecological Sustainability -- 9.4.1.1 Operational Environmental Activities -- 9.4.1.2 Managerial Environmental Activities. 9.4.1.3 Environmental Management Systems -- 9.4.2 Internal and External Social Sustainability -- 9.4.3 Detailed Analysis by Industry and Size for Germany -- 9.4.3.1 Categorizations via Industry and Company Size -- 9.4.3.2 Operational Environmental Activities -- 9.4.3.3 Managerial Environmental Activities -- 9.5 Summary and Discussion -- References -- Chapter 10: Effects of Innovation and Domestic Market Factors on OECD Countries´ Exports of Wind Power Technologies -- 10.1 Introduction -- 10.2 Methodology -- 10.2.1 Dependent Variable -- 10.2.2 Explanatory Variables -- 10.2.2.1 Measures of Innovation -- 10.2.2.2 Domestic Market Factors -- 10.2.2.3 Econometric Model and Estimators -- 10.3 Results -- 10.4 Conclusions -- References -- Chapter 11: Exploring the Role of Instrument Design and Instrument Interaction for Eco-Innovation: A Survey-Based Analysis of ... -- 11.1 Introduction -- 11.2 Analytical Framework -- 11.2.1 Firm-External Determinants of Eco-Innovation -- 11.2.2 Firm-Internal Determinants of Eco-Innovation -- 11.3 Research Case -- 11.4 Methodology -- 11.4.1 Data -- 11.4.2 Econometric Model -- 11.4.2.1 Dependent Variable -- 11.4.2.2 Explanatory Variables -- 11.5 Results -- 11.5.1 Base Model -- 11.5.2 Instruments and Design Model -- 11.5.3 Interaction Model -- 11.6 Discussion and Conclusions -- References -- Chapter 12: Corporate Social Responsibility in the Fashion Industry: How Eco-Innovations Can Lead to a (More) Sustainable Busi... -- 12.1 Introduction -- 12.2 Corporate Social Responsibility -- 12.3 Corporate Social Responsibility in the Fashion Industry -- 12.4 Eco-Innovation to Create a (More) Sustainable Business Model in the Fashion Industry -- 12.4.1 Creating New Business Models: Change the Focus to Eco-Innovation to Create a (More) Sustainable Business Model in the F... -- 12.4.2 Integrated Eco-Innovation and Green Sourcing. 12.4.3 Transparency Along the Value Chain -- 12.4.4 Eco-Innovation in Sustainable Materials -- 12.4.5 Commitment on All Levels of a Company -- 12.5 Expert Interviews on CSR and Eco-Innovation in the Fashion Industry -- 12.5.1 Methodology -- 12.5.2 Results -- 12.5.2.1 What Is the Role of Sustainability in the Past, Present, and Future? -- 12.5.2.2 Why Is Sustainability Important to the Fashion Industry? -- 12.5.2.3 What Are the Opportunities and Risks for Companies in Conducting Sustainable Business? -- 12.5.2.4 In What Way Can Fashion Companies Integrate Sustainability into Their Business Model? -- 12.6 Conclusion -- Appendix: Interview Questionnaire -- Interview Questionnaire: Fashion Companies -- Interview Questionnaire: Sustainable Fashion Consultants -- Personal -- Sustainability and CSR -- Transparency -- Circular Economy -- Consumer (Behaviour) -- References -- Chapter 13: Towards a Dynamic Understanding of Innovation Systems: An Integrated TIS-MLP Approach for Wind Turbines -- 13.1 Introduction -- 13.2 Conceptual Background -- 13.2.1 Technological Innovation Systems -- 13.2.2 Multi-Level Perspective -- 13.2.3 Conceptual Basis for the Case Study -- 13.3 Status and History of Wind Energy in China -- 13.4 Evolution of the Wind Energy Innovation System in China in a Dynamic TIS-MLP Setting -- 13.4.1 Formative Phase of the Chinese Wind Energy Innovation System -- 13.4.2 Take-Off Phase of the Chinese Wind Energy Innovation System -- 13.4.3 Mature Phase of the Chinese Wind Energy Innovation System -- 13.5 Lessons Learnt and Next Steps -- References. EBL202002 Information Transfer and Management SzGeCERN EBL Management-Environmental aspects EBL Technological innovations-Environmental aspects BOOK Reif, Christiane https://cds.cern.ch/auth.py?r=EBLIB_P_5528917 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2710644 BOOK MIGRATED 2710642 SzGeCERN 20210421201020.0 9781484239100 oai:cds.cern.ch:2710642 cerncds:BOOK SAFARI 9781484239100 eng HF4999.2-6182 658.404076 Sanghera, Paul PMP in depth Project Management Professional Certification study guide for the PMP Exam 3rd ed. Berkeley, CA Apress L.P. 2018 661 p ebook Intro -- Contents -- About the Author -- Introduction -- Part I: Initiating the Project -- Chapter 1: Project Management Framework -- Basic Concepts in Project Management -- Understanding Projects -- What Is a Project? -- Distinguishing Projects from Operations -- Origins of Projects: Where Do Projects Come From? -- Understanding Project Management -- Understanding Progressive Elaboration -- Understanding a Process -- Understanding the Project Lifecycle -- Understanding Project Management Knowledge Areas -- Triangular Relationship: Project, Program, and Portfolio -- Triangular Relationship: Project, Program, and Portfolio -- Some Common Concepts -- Probability-Related Concepts -- Global Project Variables -- Baseline -- Big Picture of Project Management -- Summary -- Exam's Eye View -- Review Questions -- Chapter 2: Project Environment -- Project Environment: Big Picture -- Identifying Environmental Factors and Process Assets and Their Influence on Process -- Enterprise Environmental Factors -- Organizational Process Assets -- Understanding the Organizational Culture and Its Influence on Projects -- Understanding the Organizational Structures and Their Influence on Projects -- Functional Organizations -- Project-oriented Organizations -- Matrix Organizations -- Hybrid Organization -- Multi-Divisional, Organic, and Virtual Organizations -- Project Management Office (PMO) -- Introducing the Project Stakeholders -- Identifying Project Stakeholders -- Identifying the Stakeholder Within: Project Manager -- Technical Project Management Skills -- Strategic and Business Management Skills -- Leadership Skills -- Three Skills: Negotiation, Influencing, and Problem Solving -- Project Management Business Documents and Project Selection -- Project Business Case -- Project Benefit Management Plan -- Project Success Measures -- Project Authorization. Opportunity Cost -- Expert Judgment -- Summary -- Exam's Eye View -- Review Questions -- Chapter 3: Initiating the Project -- Initiating a Project: Big Picture -- Developing a Project Charter -- Tools and Techniques to Develop Project Charter -- Output of Develop Project Charter -- Identifying the Project Stakeholders -- Gathering Data -- Stakeholder Data Analysis -- Data Presentation -- Output of Identifying Stakeholders -- Welcome Aboard -- Summary of Project Initiation -- Exam's Eye View -- Review Questions -- Part II: Planning the Project -- Chapter 4: Planning Project and Scope -- Planning the Project: Big Picture -- Elements of Project Planning -- Planning Scope: Big Picture -- Developing the Project Management Plan -- Developing the Project Scope Management Plan -- Requirement Management Plan and Scope Management Plan -- Collecting Requirements for the Project -- Tools and Techniques for Collecting Requirements -- Data-Gathering Techniques -- Data-Presentation and Analysis Techniques -- Prototyping -- Context Diagrams -- Decision-making Techniques -- Interpersonal and Team Skills -- Output of Collecting Requirements -- Requirements Documentation -- Defining the Project Scope -- Input to Scope Definition -- Tools and Techniques for Scope Definition -- Output of Scope Definition -- Project Scope Statement -- Project Document Updates -- Creating a Work Breakdown Structure (WBS) -- Decomposition -- Output of Creating WBS -- Scope Baseline -- Project Management Common Sense -- Summary -- Exam's Eye View -- Review Questions -- Chapter 5: Planning for Project Schedule Management -- Project Schedule Management: Big Picture -- Planning Schedule Management -- Schedule Management Plan -- Defining Activities -- Raw Data for Defining Activities -- Generating the Output of Defining Activities -- Sequencing Activities. From Activities to Project Schedule Network Diagrams -- Tools and Techniques for Generating Project Schedule Network Diagrams -- Determining and Integrating Dependencies -- Precedence Diagramming Method (PDM) -- Estimating Activity Duration -- Activity and Resources Information for Duration Estimation -- Tools and Techniques for Activity Duration Estimating -- Output of Activity Duration Estimating -- Developing the Project Schedule -- Collecting Information for Schedule Development -- Applying Tools and Techniques for Schedule Development -- Schedule Network Analysis -- Critical Path Method -- Resource Optimization -- Simulations and "What if" Scenario Analysis -- Applying Leads and Lags -- Schedule Compression -- Agile Release Planning and PMIS -- Output of the Schedule Development Process -- Summary -- Exam's Eye View -- Review Questions -- Chapter 6: Planning for Project Resources, Cost, and Procurement -- Planning for Resources: Big Picture -- Developing the Resource Management Plan -- Generating Resource Management Plan -- Tools and Techniques for Resource Management Planning -- The Resource Management Plan -- Resource Management Plan -- Team Charter -- Estimating Activity Resources -- Raw Data for Estimating Activity Resource Requirements -- Tools and Techniques for Activity Resource Estimating -- Output of Activity Resource Estimating -- Estimating Costs and Determining Budget -- Developing the Cost Management Plan -- Performing the Plan Cost Management Process -- Cost Management Plan -- Estimating Project Costs -- Estimating Project Costs -- Collect Basic Work Information: Scope Baseline -- Collect Resource Information -- Collect Information to Facilitate the Process -- Convert Cost-related Information into Cost Estimates -- Output of the Estimate Costs Process -- Determining Project Budget -- Procuring Project Resources or Components. Planning for Procurement -- Core of Performing Plan Procurement Management -- Determining Contract Types -- Tools and Techniques for Planning Procurement Management -- Output of Planning Procurement Management -- Make-or-Buy Decision and Source Selection Criteria -- Procurement Strategy -- Bidding Documents -- Independent Cost Estimates -- Procurement Management Plan -- Summary -- Exam's Eye View -- Review Questions -- Chapter 7: Planning Quality and Risk Management -- Managing Quality: Big Picture -- Some Concepts in Quality -- Planning Quality -- Core of Planning Quality Management -- Tools and Techniques Used for Quality Planning -- Data-Gathering Techniques. -- Data Analysis -- Data Presentation -- Output of Quality Planning -- Managing Risks: The Big Picture -- Planning Risk Management -- Developing the Risk Management Plan -- Risk Management Plan -- Identifying Risks -- Performing Risk Identification -- Data-Gathering Techniques -- Data-Analysis Techniques -- The Output of Risk Identification -- Risk Register -- Risk Report -- Analyzing Risks -- Qualitative Risk Analysis -- Performing Qualitative Risk Analysis -- Tools and Techniques for Qualitative Risk Analysis -- Output of the Qualitative Risk Analysis -- Updated Risk Register -- Updated Risk Report -- Performing Quantitative Analysis -- Nutshell of Performing Quantitative Analysis -- Tools and Techniques for Quantitative Analysis -- Output of the Quantitative Risk Analysis: Updated Risk Report -- Planning the Risk Response -- Core of Risk Response Planning -- Tools and Techniques for Risk Response Planning -- Response Strategies for Threats -- Response Strategies for Opportunities -- Response Strategies for Overall Project Risk -- Contingency -- Data Analysis and Decision Making -- Output of Risk Response Planning -- Summary -- Exam's Eye View -- Review Questions. Chapter 8: Planning for Communication and Stakeholder Management -- Project Stakeholder Management: Big Picture -- Planning Stakeholder Engagement -- Raw Data for Stakeholder Engagement Plan -- Tools and Techniques to Develop Stakeholder Engagement Plan -- Managing Project Communication: Big Picture -- Planning Project Communication -- Performing the Plan Communication Management Process -- Tools and Techniques for Communication Planning -- Communication Requirements Analysis -- Communication Technology Determination -- Communication Models and Methods Determination -- Project Communication Plan -- Updates to Project Documents -- Summary -- Exam's Eye View -- Review Questions -- Part III: Executing the Project -- Chapter 9: Managing Execution of Project Work -- Executing a Project: Big Picture -- Directing and Managing Project Work -- Input to Directing and Managing Project Work -- Tools and Techniques for Directing and Managing Project Work -- Output of Directing and Managing Project Work -- Managing Project Knowledge -- Input to Manage Project Knowledge -- Tools and Techniques for Managing Project Knowledge -- Output of Managing Project Knowledge -- Managing Quality -- Core of Performing Quality Management -- Tools and Techniques for Performing Quality Management -- Data Gathering and Data Analysis -- Data Presentation -- Decision Making: Multicriteria Decision Analysis -- Quality Audit -- Other Tools -- Output of Performing Quality Management -- Outline Placeholder -- Outline Placeholder -- Implementing Risk Responses -- Conducting Procurements -- Core of Conducting Procurements -- Tools and Techniques for Conducting Procurements -- Output of Conducting Procurements -- Summary -- Exam's Eye View -- Review Questions -- Chapter 10: Managing Project Resources -- Resource Management: Big Picture -- Acquiring Project Resources. Selecting and Assigning Resources. SAF202010 EBLlink deleted Information Transfer and Management SzGeCERN EBL Project management-Examinations, questions, etc BOOK https://learning.oreilly.com/library/view/-/9781484239100/?ar ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2710642 BOOK MIGRATED 2710625 SzGeCERN 20210421201022.0 9783030013585 electronic version electronic version 9783030013578 print version oai:cds.cern.ch:2710625 cerncds:BOOK EBL 5522124 eng TA1-2040 005.7 Kravets, Alla G Big data-driven world Cham Springer International 2018 256 p ebook Studies in systems, decision and control 181 Intro -- Preface -- Contents -- Theoretical Concepts of Control Technologies in Big Data-driven World -- Methodological Foundations of the Digital Economy -- 1 Introduction -- 2 Models of Integrated Activities -- 3 Information and Complex Activities -- 4 Model of the Process of Implementation of Complex Activities -- 5 Conclusion -- References -- Methodology and Technology of Control Systems Development -- 1 Introduction -- 2 Formation of the Program Based on the Integrated Assessment System -- 3 Accounting for Multi-purpose Projects -- 4 Accounting for Interdependent Projects -- 5 Risk Management -- 6 Adjusting the Composition of the Program -- 7 Formation of Calendar Plans -- 8 Conclusion -- References -- Principles of Mathematical Models Constructing Based on the Text or Qualitative Data of Social Systems -- 1 Introduction -- 2 Principles of Construction and Types of Mathematical Models -- 3 Conclusion -- References -- On the Possibility of an Event Prediction with Limited Initial Statistical Data -- 1 Introduction -- 2 Background -- 3 Formal Problem Definition -- 4 Resampling Method in Events Prediction -- 5 Conclusion -- References -- Theoretical and Applied Aspects of Orthogonal Coding in Computer Networks Technologies -- 1 Introduction -- 2 Choosing an Orthogonal Basis for Building a Data Transmission System -- 3 The Construction of a Signal System Based on the Set of Rademacher-Walsh Functions -- 4 Data Transmission System in the Orthogonal Basis -- 5 Conclusion -- References -- The Methodological Framework of Legislation Regulation in Big Data-driven World -- Big Data in Investigating and Preventing Crimes -- 1 Background -- 2 Analysis of the Problems Connected with Using Big Data Technologies in the Crime Investigation -- 3 Directions for Using Big Data Technologies for Crime Investigation. 4 Requirements for Data Used in the Investigation and Prevention of Crime -- 5 The Main Problems with Using Big Data Technologies in the Investigation -- 6 Conclusion -- References -- Data Analysis of the Socio-economic Factors' Influence on the State of Crime -- 1 Introduction -- 2 Methodology and Initial Data -- 3 Selection of Socio-economic Factors Affecting the State of Crime -- 4 Clustering of Regions -- 5 Modeling Procedure -- 6 Analysis of the Results -- 7 Conclusion -- References -- The Remote Approach of Distribution of Objects Withdrawn from Circulation: Means, Legislation Issues, Solutions -- 1 Introduction -- 2 The Technological Basis of the Remote Method of Distribution of Objects Withdrawn from Circulation -- 3 The Legal Basis for Combating the Proliferation of Items Withdrawn from Circulation -- 4 Russian Experience in the Legal Regulation of the Use of Information and Communication Technologies -- 5 Conclusion -- References -- Remote Investigative Actions as the Evidentiary Information Management System -- 1 Introduction -- 2 Factors Stipulating the Obtaining and Amount of Information to be Used in a Criminal Investigation -- 3 Scientific and Technological Means for Information Recording and Seizing -- 4 Possibilities and Prospects of the Use of ICTs in a Criminal Investigation -- References -- Internet as a Crime Zone: Criminalistic and Criminological Aspects -- 1 Introduction -- 2 Criminalistic Aspects in the Understanding and Study of Internet Crime -- 3 Criminological Aspects of Understanding and Studying Internet Crimes -- 4 Conclusion -- References -- Implementation of the Law Enforcement Function of the State in the Field of Countering Crimes Committed Using the Internet -- 1 Introduction -- 2 Internet Crimes Features and Classification -- 3 The Nature of the Unlawful Information on the Internet -- 3.1 "The Death Groups". 3.2 Extremist and Terrorist Content -- 3.3 Illegal Drug Trafficking and Gambling Establishments -- 4 Solving the Problem of Internet Crimes Counteraction -- 5 Conclusion -- References -- Counteraction to E-Commerce Crimes Committed with the Use of Online Stores -- 1 Introduction -- 2 The Main Elements of Criminalistics Characteristic -- 2.1 The Circumstances of Committing -- 2.2 Classification of Victims -- 2.3 The Subject of a Criminal Encroachment -- 3 Solving the Problem of Information Obtaining -- 4 Conclusion -- References -- Counteraction of Terrorism and Extremism Challenges in Big Data-driven World -- Counteracting the Spread of Socially Dangerous Information on the Internet: A Comparative Legal Study -- 1 Background -- 2 Analysis of the Current Legislation in the Field of Combating the Dissemination of Socially Dangerous Information -- 3 Conclusions and Results -- References -- Mechanisms of Countering the Dissemination of Extremist Materials on the Internet -- 1 Introduction -- 2 Characteristics of the Attractiveness of Information Networks for Cyber Extremists -- 2.1 Easiness in Receiving and Low Cost of Network Access -- 2.2 The Potentially Unlimited Audience in the Country and the World for the Dissemination of Information -- 2.3 Insufficient State Control -- 2.4 High Anonymity, Security, and Secrecy of Communication and Information Exchange on the Internet -- 2.5 High Dynamic Network Resources -- 2.6 Using Multimedia Capabilities -- 3 The Main Directions for Using the Capabilities of Information Networks in Extremist Activities -- 3.1 Propaganda of Extremist and Terrorist Activities -- 3.2 Recruiting New Member of Extremist and Terrorist Activities -- 3.3 Information Support for Extremist and Terrorist Activities -- 4 Formation of the Russian Legislation to Counteract the Use of Information Networks in Extremist and Terrorist Activities. 5 Problems of Improving the Organization of Countering the Use of Information Networks in Extremist and Terrorist Activities -- 6 Conclusion -- References -- Analysis of High-Technology Mechanisms of Extremist and Terrorist Activities Financing -- 1 Introduction -- 2 The Legal Basis for Countering the Financing of Terrorist and Extremist Activities -- 3 Organization of Extremist and Terrorist Activities Financing -- 3.1 Delivery of Funds Using the Facilities of Credit and Financial Institutions and Payment Systems -- 3.2 Delivery of Funds Through Couriers, International Charitable and Other Non-profit Organizations -- 3.3 Delivery of Funds Through Alternative Money Transfer Systems (AMT) -- 3.4 Classification of Terrorism and Extremism Financing Sources -- 4 Conclusion -- References -- Radio-Electronic Warfare as a Conflict Interaction in the Information Space -- 1 Introduction -- 2 The Structure of Electronic Warfare -- 3 Information Destruction as the Main Aim of EW -- 4 EW Effect on Computer Systems -- 5 Conclusion -- References -- Practical Aspects and Case-Studies of Legislation Regulation and Control Technologies Development -- Mechanisms for Ensuring Road Safety: The Russian Federation Case-Study -- 1 Introduction -- 2 Problems of Russian Policy in the Field of Road Safety -- 3 Structure of Road Safety Providing -- 4 Program Management in the Field of Road Safety Providing -- 5 Comprehensive Assessment of Road Safety Providing Effectiveness -- 6 Effectiveness Maximization Problem -- 7 Conclusion -- References -- Big Data-Driven Control Technology for the Heterarchic System (Building Cluster Case-Study) -- 1 Introduction -- 2 Background -- 3 RBC as a Heterarchical Socio-Economic System -- 4 Structural Model of RBC -- 5 Forecasting of RBC Development -- 5.1 Determination of Attributes Set for Real Estate Market and Data Processing. 5.2 Evaluation Methods of Regression Models -- 5.3 Regression Models for the Assessment of Housing Commissioning -- 5.4 Models Evaluation -- 6 Conclusions -- References -- Actual Issues of Forensic-Environmental Expert Activity: Kazakhstan and International Experience -- 1 Introduction -- 2 The Relevance of the Development of Forensic-Environmental Examination -- 3 The Perfection of the Regulation of Forensic Environmental Expert Activities -- 4 Conclusion -- References -- Investment Management Technology with Discounting -- 1 Introduction -- 2 Net Present Value of the Projects Portfolio and Its Dispersion -- 3 Share Management -- 4 Conclusion -- References -- Development of Communication as a Tool for Ensuring National Security in Data-Driven World (Russian Far North Case-Study) -- 1 Introduction -- 2 Russian Far North Infrastructure, Strategic Resources, and Cargo Flows -- 3 The Strategic Task of Communication Infrastructure Modernization -- 3.1 Radio-Relay Communication -- 3.2 Fiber-Optic Communication -- 3.3 Space Communication -- 4 Conclusion -- References -- Analysis of the Data Used at Oppugnancy of Crimes in the Oil and Gas Industry -- 1 Introduction -- 2 The Criminal Influence on the Energy Sector -- 3 The Systems and Methods for Locating Leaks in Pipelines -- 4 Conclusions -- References -- Author Index. EBL202002 Computing and Computers SzGeCERN EBL Big data BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5522124 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2710625 BOOK MIGRATED 2710623 SzGeCERN 20210421201022.0 9783319936291 electronic version electronic version 9783319936284 print version oai:cds.cern.ch:2710623 cerncds:BOOK EBL 5521409 eng HF4999.2-6182 658.408 Altenburger, Reinhard Innovation management and corporate social responsibility social responsibility as competitive advantage Cham Springer 2018 362 p ebook CSR, sustainability, ethics and governance Intro -- Responsibility and Innovation: Two Sides of the Same Coin? -- Preface -- Contents -- Corporate Social Responsibility as a Driver of Innovation Processes -- 1 Global Challenges for Sustainable and Responsible Innovation -- 2 The Potential of Corporate Social Responsibility for Innovation -- 3 Stakeholder-Engagement for Sustainable Innovation -- References -- Managing Sustainable Innovation -- 1 Introduction -- 2 Sustainable Innovation -- 2.1 Sustainable Innovation Through Circular Economy -- 3 Managing Sustainable Innovation -- 3.1 Sustainable Innovation Through Business-NGO Collaborations -- 4 Sustainable Business Models as Platforms for Sustainable Innovations -- 5 Concluding Remarks -- References -- CSR and Innovation: A Holistic Approach From a Business Perspective -- 1 Introduction -- 1.1 Terminology: CSR and Its Relatives -- 1.2 History: Development of Concepts -- 1.3 Business: Does CSR Pay Off? -- 2 Models: Understanding and Approach -- 2.1 Sustainability Innovation Cube -- 2.2 Business Model for Sustainability Concept -- 2.3 Classification of CSR Relevant Innovations -- 2.4 Impact of Innovation on CSR: Assessment Based on Business Model Canvas -- 2.5 Integrated Balanced Sustainability Business Model Canvas -- 2.5.1 Basic Ideas and Intended Benefits -- 2.5.2 Integration: Considering All CSR Aspects -- 2.5.3 Balance: Supporting Sustainable Decision-Making -- 2.5.4 Integrated Balanced Sustainability Business Model Canvas: Summary and Outlook -- 3 Management System Standards and Innovation -- 3.1 ISO 26000 -- 3.2 ISO 14001 -- 3.3 BS OHSAS 18001/ISO 45001 -- 3.4 ISO 27001 -- 3.5 ISO 9001 -- 3.6 Do CSR Related Management System Standards Support Innovation? -- 4 Sustainability and Innovation at Siemens -- 4.1 Corporate Level -- 4.2 Siemens Convergence Creators Level -- 4.2.1 Framework -- 4.2.2 Innovation. 4.2.3 Integrated Management System and CSR -- 4.2.4 Organization -- 4.2.5 Organizational Integration of CSR and Innovation -- 5 Conclusion and Outlook -- References -- Integrating CSR in Innovation Value Networks -- 1 Introduction -- 2 The Importance of CSR in Innovation Processes -- 2.1 Strategic Ambition Towards Sustainability -- 2.2 The Innovation Value Network -- 2.3 Multiple Stakeholders in an Innovation Value Network -- 2.4 Stakeholder Engagement -- 3 Conceptual Literature Framework -- 3.1 Stakeholder Engagement to Integrate CSR in Innovation Processes -- 3.2 Orchestration -- 4 Research Method and Approach for Identifying Best Practices -- 5 Framework of Best Practices Based on Case Study -- 5.1 Orchestrating Practices -- 6 Conclusion -- References -- The Art of Responsible Change -- 1 Beyond Bounded Rationality -- 2 Tacit Knowing and the Improvisational Field -- 3 Improvisation and Sustainable Entrepreneurship: Managing the Unexpected -- 4 Improvisational Learning -- 5 Improvisation Technology and the Dynamics of Sustainable Entrepreneurship: The Improvisation Lab -- 6 Improvisation in Mode 2: Performative Tacit Knowing to Inspire Sustainability and Innovation in Social Systems -- 7 Performative Pattern Language: Linking Rationality and Creativity to Produce an Improvisation Technology for Entrepreneurial... -- References -- X-IDEA: How to Use a Systematic Innovation Method for Social Innovation Projects -- 1 Introduction and Theoretical Background -- 1.1 Introduction -- 1.2 Theoretical Background -- 2 The X-IDEA Innovation Method and Toolbox: An Introduction -- 2.1 What Is X-IDEA? -- 2.2 How Does X-IDEA Work in General? -- 2.3 Why Is X-IDEA a Valuable New Addition to the Armoury of Innovation Process Methods? -- 3 Application of X-IDEA in Social Innovation: Three Case Studies. 3.1 Case Study 1: X-IDEA in an Innovation Training Using a CSR Case (Merck Thailand) -- 3.2 Case Study 2: X-IDEA in a Social Innovation Project: Campaign Design at Greenpeace Southeast Asia -- 3.3 Case Study 3: X-IDEA in Social Innovation Projects: Creating the UNICEF of the Future -- 4 Conclusion and Discussion -- 4.1 Summary and Other Possible Applications of Innovation Process Methods Like X-IDEA for Social Innovation/CSR/Sustainability -- References -- Innovation, Business Models, and Catastrophe: Reframing the Mental Model for Innovation Management -- 1 Innovation and Global Collapse: The Paradox of Destructive Wealth Creation -- 2 Scarcity, Competition, Value Creation, and Growth: The Mental Model of Economy and Innovation Management -- 2.1 Challenges and Driving Forces of Innovation Management -- 2.2 A Philosophical Remark on Mental Frames and Their Role for Human Cognition and Action -- 2.3 Innovation Games: The Mental Model of Economy -- 3 Reframing Innovation and Innovation Management: Ethicology and the Natural Art of Yielding Benefits -- 3.1 The Principles of Natural Resource Creation -- 3.2 ``Be Valuable or Die´´: The Mantra of Lastingly Viable Innovation Management -- References -- CSR Behavior: Between Altruism and Profit Maximization -- 1 Introduction -- 2 CSR Behavior -- 2.1 General Considerations -- 2.2 Altruism and Impure Altruism -- 2.3 Strategic CSR -- 2.3.1 Consumer Related CSR -- 2.3.2 Employee Related CSR -- 2.3.3 Investor Related CSR -- 2.3.4 Government Related CSR -- 3 Optimal Level of CSR -- 4 Conclusion -- References -- Sustainability in Fashion: An Oxymoron? -- 1 Initial Situation -- 2 Ethical Consumer Behaviour in Fashion -- 2.1 Ethical Consumer Behaviour and Influencing Factors -- 2.2 Attitudes and Perceptions Towards Sustainability -- 3 Sustainable Brands and Ethical Practices. 3.1 Sustainable Brands: Opportunities and Barriers -- 3.2 Competitive Advantage for Companies Adopting Sustainable Practices -- 3.2.1 Innovations in Fabrics -- 3.2.2 New Sustainable Business Models -- 4 Sustainable Marketing Communication -- 4.1 Effective Marketing Communication and ``Greenwashing´´ -- 4.2 Communication Strategies to Encourage Ethical Consumers Behaviour -- 5 Conclusion -- 5.1 Summary -- 5.2 Implications and Recommendations -- References -- The Bosch Group´s Approach to Innovation and Sustainability Communication -- 1 Company Founder and Corporate Foundation -- 2 From Patent to Innovation -- 3 Attitudes and Traditions -- 4 The Innovation Process -- 5 Doing Good and Talking About It -- 5.1 Sustainability Communication Online -- 5.2 Annual Report and German Sustainability Code -- 5.3 Communication on Progress -- 5.4 Blueprint for Regional Reports -- 5.5 Social Media -- 6 Tone from the Top -- 7 Conclusion -- Reference -- CSR and Innovation: Anchoring Sustainability in Henkel´s Innovation Process -- 1 CSR: Business Strategy-Innovation -- 1.1 The Social Responsibility of Business -- 1.2 Competitive Advantage and Innovation in the CSR Discussion -- 1.3 Increasing Challenges -- 2 Integrating CSR into Henkel´s Values and Strategy -- 2.1 Anchored in the Company´s Tradition -- 2.2 Sustainability Strategy and Targets -- 3 CSR in Each Phase of the Innovation Process -- 3.1 Research and Development at Henkel -- 3.2 Integrating Sustainability into Innovation Processes -- 3.3 Improvement Through Life Cycle Assessments -- 4 CSR and Sustainable Innovations at Henkel -- 4.1 Innovations That Deliver More Value with a Reduced Footprint -- 4.2 Example 1: Liquid Applied Sound Deadener in Comparison with Bitumen Melt Sheets -- 4.3 Example 2: Igora Royal Highlifts -- 4.4 Example 3: Somat Gold Compared to Somat Gold Phosphate-Free -- 5 Summary -- References. GoGreen Technologies: Environmental Innovation at Deutsche Post DHL Group -- 1 The Role of Environmental Management and Innovation at Deutsche Post DHL Group -- 2 How to Foster Green Innovation -- 2.1 Strategy and Culture -- 2.2 Policies and Guidelines -- 2.3 Centers of Excellence and Knowledge Sharing Communities -- 3 From Burn Less to Burn Clean: Green Innovations in Deutsche Post DHL Group Operations -- 3.1 Burn Less: The Aerodynamically Optimized Teardrop Trailer -- 3.2 Burn Clean: The StreetScooter Electric Vehicle forLast-Mile Mail and Parcel Delivery -- 3.3 Development -- 3.4 Vehicle Design -- CSR as a Driver of Innovation at Swiss Post -- 1 Introduction -- 2 CSR and Innovation at Swiss Post -- 2.1 Strategically Anchored Sustainability -- 2.2 Interlinking with Innovation Management -- 3 Mutual Inspiration: Together on the Road to CSR 3.0 -- 4 Practical Examples -- 4.1 How Do People Want to Use Postal Services? -- 4.2 How Can Greenhouse Gas Emissions Be Reduced? -- 4.3 How Do People Want to Travel in Switzerland? -- 4.4 How Can Supply Chains Be Designed to Be Socially and Environmentally Sound? -- 4.5 How Do Digital Transformation and the Internet of Things Contribute to Sustainability? -- 5 Conclusion -- References -- The Responsible Business Model: Perspectives from the Tata Group -- 1 Introduction -- 2 Embedding Corporate Responsibility into DNA -- 3 Delivering Total Value Through Products and Businesses Innovation -- 4 Integrating Sustainability into Business Processes -- 5 Contributing Intellectual Capital for Societal Good -- 6 Sustaining the Social License to Operate -- 7 Conclusion -- Impact of Corporate Social Responsibility on Innovation Activities: The Case of Xerox -- 1 Introduction -- 2 Xerox Engagement in CSR and Innovation Processes -- 3 How Internal CSR Culture Has Influenced Topics -- 3.1 Green Services Initiative. 3.2 The Work Practice Technology Approach to Innovation: The Case of Behaviour Change Support. EBL202002 Information Transfer and Management SzGeCERN EBL Social responsibility of business BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5521409 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2710623 BOOK MIGRATED 2710618 SzGeCERN 20210421201022.0 9783319974606 electronic version electronic version 9783319974590 print version oai:cds.cern.ch:2710618 cerncds:BOOK EBL 5521382 eng TA1-2040 621.37 Hauschild, Wolfgang High-voltage test and measuring techniques 2nd ed. Cham Springer 2018 558 p ebook Intro -- Foreword to the First Edition -- Preface to the First Edition -- Preface to the Second Edition -- Acknowledgement -- Contents -- Abbreviations -- Symbols -- 1 Introduction -- Abstract -- 1.1 Development of Power Systems and Required High-Voltage Test Systems -- 1.2 The International Electrotechnical Commission and Its Standards -- 1.3 Insulation Coordination and Its Verification by HV Testing -- 1.4 Tests and Measurements in the Life Cycle of Power Equipment -- 2 Basics of High-Voltage Test Techniques -- Abstract -- 2.1 External and Internal Insulations in the Electric Field -- 2.1.1 Principles and Definitions -- 2.1.2 HV Dry Tests on External Insulation Including Atmospheric Correction Factors -- 2.1.3 HV Artificial Rain Tests on External Insulation -- 2.1.4 HV Artificial Pollution Tests on External Insulation -- 2.1.5 Hints to Further Environmental Tests and HV Tests of Apparatus -- 2.1.6 HV Tests on Internal Insulation -- 2.2 HV Test Systems and Their Components -- 2.3 HV Measurement and Estimation of the Measuring Uncertainty -- 2.3.1 HV Measuring Systems and Their Components -- 2.3.2 Approval of a HV Measuring System for an Accredited HV Test Field -- 2.3.3 Calibration by Comparison with a Reference Measuring System -- 2.3.4 Estimation of the Uncertainty of HV Measurements -- 2.3.4.1 Non-linearity Effect (Linearity Test) -- 2.3.4.2 Dynamic Behaviour Effect -- 2.3.4.3 Short-Term Stability Effect -- 2.3.4.4 Long-Term Stability Effect -- 2.3.4.5 Ambient Temperature Effect -- 2.3.4.6 Proximity Effect -- 2.3.4.7 Software Effect -- 2.3.4.8 Determination of Expanded Uncertainties -- 2.3.4.9 Uncertainty of Time Parameter Calibration -- 2.3.5 HV Measurement by Standard Air Gaps According to IEC 60052:2002 -- 2.3.6 Field Probes for Measurement of High Voltages and Electric Field Gradients. 2.4 Breakdown and Withstand Voltage Tests and Their Statistical Treatment -- 2.4.1 Random Variables and the Consequences -- 2.4.2 HV Tests Using the Progressive Stress Method -- 2.4.3 HV Tests Using the Multiple-Level Method -- 2.4.4 HV Tests for Selected Quantiles Using Up-and-Down Methods -- 2.4.5 Statistical Treatment of Life-Time Tests -- 2.4.6 Standardized Withstand Voltage Tests -- 2.4.7 The Enlargement Laws -- 2.4.7.1 Statistical Fundamentals -- 2.4.7.2 Consequences of Enlargement -- 3 Tests with High Alternating Voltages -- Abstract -- 3.1 Generation of HVAC Test Voltages -- 3.1.1 HVAC Test Systems Based on Test Transformers (ACT) -- 3.1.1.1 General Principle -- 3.1.1.2 Tank-Type Test Transformers -- 3.1.1.3 Cylinder-Type Test Transformers -- 3.1.1.4 Test Transformers with SF6-Impregnated Foil or Solid Insulation -- 3.1.1.5 Test Transformer Cascades -- 3.1.2 HVAC Test Systems Based on Resonant Circuits (ACR) -- 3.1.2.1 Principles of Resonant Circuits -- 3.1.2.2 Inductance-Tuned Resonant Circuits of Fixed Frequency (ACRL) -- 3.1.2.3 Frequency-Tuned Resonant Circuits of Variable Frequency (ACRF) -- 3.1.2.4 Comparison of ACRL and ACRF Test Systems -- 3.1.3 HVAC Test Systems for Induced Voltage Tests of Transformers (ACIT) -- 3.1.4 HVAC Test Systems of Variable Frequencies Based on Transformers (ACTF) -- 3.2 Requirements to AC Test Voltages and Selection of HVAC Test Systems -- 3.2.1 Requirements to AC Test Voltages -- 3.2.2 Test Systems for Multi-purpose Application -- 3.2.3 AC Resonant Test Systems (ACRL -- ACRF) for Capacitive Test Objects -- 3.2.4 HVAC Test Systems for Resistive Test Objects -- 3.2.4.1 HVAC Test Systems for Artificial Pollution Tests -- 3.2.4.2 HVAC Test Systems for Artificial Rain Tests -- 3.2.5 HVAC Test Systems for Inductive Test Objects: Transformer Testing -- 3.3 Procedures and Evaluation of HVAC Tests. 3.3.1 HVAC Tests for Research and Development -- 3.3.2 HVAC Quality Acceptance Tests and Diagnostic Tests -- 3.4 HVAC Test Voltage Measurement -- 3.4.1 Voltage Dividers -- 3.4.2 Measuring Instruments -- 3.4.3 Requirements for Approved Measuring Systems -- 4 Partial Discharge Measurement -- Abstract -- 4.1 Fundamentals -- 4.1.1 PD Occurrence -- 4.1.2 PD Quantities -- 4.2 PD Models -- 4.2.1 Network-Based PD Model -- 4.2.2 Dipole-Based PD Model -- 4.3 PD Pulse Charge Measurement -- 4.3.1 Decoupling of PD Signals -- 4.3.2 PD Measuring Circuits According to IEC 60270 -- 4.3.3 PD Signal Processing -- 4.3.4 PD Measuring Instruments -- 4.3.4.1 General -- 4.3.4.2 Analogue PD Instruments -- 4.3.4.3 Digital PD Instruments -- 4.3.5 Calibration of PD Measuring Circuits -- 4.3.6 Performance Tests of PD Calibrators -- 4.3.7 Maintaining the Characteristics of PD Measuring Systems -- 4.3.8 PD Test Procedure -- 4.4 PD Fault Localization -- 4.5 Noise Reduction -- 4.5.1 Sources and Signatures of Noises -- 4.5.2 Noise Reduction Tools -- 4.6 Visualization of PD Events -- 4.7 PD Detection in the VHF/UHF Range -- 4.7.1 General -- 4.7.2 Design of PD Couplers -- 4.7.2.1 Capacitive PD Couplers -- 4.7.2.2 Inductive PD Couplers -- 4.7.2.3 Electromagnetic PD Couplers -- 4.7.3 Basic Principles of PD Detection in the VHF/UHF Range -- 4.7.4 Comparability and Reproducibility of UHF/VHF PD Detection Methods -- 4.8 Acoustic PD Detection -- 5 Measurement of Dielectric Properties -- Abstract -- 5.1 Dielectric Response Measurements -- 5.2 Loss Factor and Capacitance Measurement -- 5.2.1 Schering Bridge -- 5.2.2 Automatic C-tanδ Bridges -- 6 Tests with High Direct Voltages -- Abstract -- 6.1 Circuits for the Generation of HVDC Test Voltages -- 6.1.1 Half-Wave Rectification (One-Phase, One-Pulse Circuit) -- 6.1.2 Doubler and Multiplier Circuits (Greinacher/Cockcroft-Walton Cascades). 6.1.3 Multiplier Circuits for Higher Currents -- 6.1.4 Multiplier Circuits with Cascaded Transformers (Delon Circuits) -- 6.2 Requirements to HVDC Test Voltages -- 6.2.1 Requirements to HVDC Test Voltages -- 6.2.2 General Requirements to Components of HVDC Test Systems -- 6.2.2.1 Protection Against Transient Stresses -- 6.2.2.2 Polarity Reversal and Switch-off -- 6.2.2.3 Voltage Control, Selection of Smoothing Capacitances and Frequency -- 6.2.3 Interaction Between HVDC Test System and Test Object -- 6.2.3.1 Capacitive Test Objects -- 6.2.3.2 Resistive Test Objects (Wet and Pollution Tests) -- 6.2.3.3 Corona Cages and HVDC Test Lines -- 6.3 Procedures and Evaluation of HVDC Tests -- 6.4 HVDC Test Voltage Measurement -- 6.5 PD Measurement at DC Test Voltages -- 7 Tests with High Lightning and Switching Impulse Voltages -- Abstract -- 7.1 Generation of Impulse Test Voltages -- 7.1.1 Classification of Impulse Test Voltages -- 7.1.2 Basic and Multiplier Circuits for Standard LI/SI Test Voltages -- 7.1.2.1 Basic RC Circuit -- 7.1.2.2 Multiplier RC Circuit -- 7.1.2.3 Consideration of the Inductance in the Circuit -- 7.1.2.4 Some Details of the Design of Impulse Voltage Test Systems -- 7.1.3 Circuits for Oscillating Impulse Voltages -- 7.1.4 OSI Test Voltage Generation by Transformers -- 7.1.5 Circuits for Very Fast Front (VFF) Impulse Voltages and Solid-State Generators -- 7.2 Requirements to LI/SI Test Systems and Selection of Impulse Voltage Test Systems -- 7.2.1 LI Test Voltage and the Phenomenon of Over-Shoot -- 7.2.1.1 Requirements of IEC 60060-1 and IEEE Std. 4 to Standard LI Voltages 1.2/50 -- 7.2.1.2 Situation and Future of the Treatment of Over-Shoot -- 7.2.1.3 Interaction Between HVLI Test System and Test Object -- 7.2.2 SI Test Voltages -- 7.2.2.1 Requirements of IEC 60060-1 and IEEE Std. 4. 7.2.2.2 Interaction Between HVSI Test System and Test Object -- 7.3 Procedures and Evaluation of LI/SI Voltage Tests -- 7.3.1 Breakdown Voltage Tests for Research and Development -- 7.3.2 LI/SI Quality Acceptance Tests -- 7.4 Measurement of LI and SI Test Voltages -- 7.4.1 Dynamic Behaviour of Voltage Dividers -- 7.4.2 Design of Voltage Dividers -- 7.4.2.1 Resistive Voltage Dividers -- 7.4.2.2 Damped Capacitive Dividers -- 7.4.3 Digital Recorders -- 7.5 Measurement of High Currents in LI Voltage Tests -- 7.5.1 Resistive Converting Device (Shunt) -- 7.5.2 Inductive Converting Device (Rogowski Coil) -- 7.6 PD Measurement at Impulse Voltages -- 7.6.1 SI Test Voltages -- 7.6.2 DAC Test Voltages -- 7.6.3 Short Impulse Voltages (LI and VFF Test Voltages) -- 8 Tests with Combined and Composite Voltages -- Abstract -- 8.1 Combined Test Voltage -- 8.1.1 Generation of Combined Test Voltages -- 8.1.2 Requirements to Combined Test Voltages -- 8.1.3 Measurement of Combined Test Voltages -- 8.1.4 Examples for Combined Voltage Tests -- 8.2 Composite Voltages -- 8.2.1 Generation and Requirements -- 8.2.2 Measurement of Composite Test Voltages -- 8.2.3 Examples for Composite Voltage Tests -- 9 High-Voltage Test Laboratories -- Abstract -- 9.1 Requirements and Selection of HV Test Systems -- 9.1.1 Objective of a Test Field -- 9.1.2 Selection of Test Equipment -- 9.1.3 Clearances and Test Area -- 9.1.4 Control, Measurement and Communication -- 9.2 HV Test Building Design -- 9.2.1 Required Rooms and Principle Design -- 9.2.2 Grounding and Shielding -- 9.2.3 Power Supply and High-Frequency Filtering -- 9.2.4 Auxiliary Equipment for HV Testing -- 9.2.5 Auxiliary Equipment and Transportation Facilities -- 9.2.5.1 Lighting -- 9.2.5.2 Heating, Ventilation and Air Conditioning -- 9.2.5.3 Transportation Facilities -- 9.2.5.4 Technical Media. 9.2.5.5 Fire and Environmental Protection. This all-encompassing, extensively illustrated guide explains how to apply IEC standards in testing high-voltage plant and equipment. It also draws on the authors' extensive experience to sketch in some detail the likely future trends in the sector. EBL202002 Engineering SzGeCERN EBL High voltages-Testing BOOK Lemke, Eberhard https://cds.cern.ch/auth.py?r=EBLIB_P_5521382 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2710618 BOOK MIGRATED 2710617 SzGeCERN 20210421201023.0 9783319925646 electronic version electronic version 9783319925639 print version oai:cds.cern.ch:2710617 cerncds:BOOK EBL 5521338 eng TA1-2040 006.22 Guo, Song Cyber-physical systems Cham Springer International 2018 255 p ebook EAI/Springer innovations in communication and computing Intro -- Preface -- Contents -- Part I Architecture and Applications -- 1 Envisioned Network Architectures for IoT Applications -- 1.1 Introduction -- 1.2 Network Level Challenges in IoT -- 1.2.1 Energy Efficiency -- 1.2.2 Reliability and QoS -- 1.3 Factors that Affect the Network Performance -- 1.3.1 Energy Hole (Node Overload) -- 1.3.2 Multi-Retransmissions -- 1.3.3 Collision -- 1.3.4 Control Packet Overhead -- 1.3.5 Delay -- 1.3.6 Motivation -- 1.4 Envisioned Network Architecture for Low Power IoT Networks -- 1.4.1 E-Health -- 1.4.2 Environmental Monitoring -- 1.4.3 Industrial Automation -- 1.4.4 Smart Grid -- 1.5 Suitability of Proposed Network Architectures for IoT Scenario and Network Assumptions -- 1.6 Conclusion -- References -- 2 A Measurement Study of Campus WiFi Networks Using WiFiTracer -- 2.1 Introduction -- 2.2 WiFi Measurement Platform -- 2.2.1 Measurement Framework Overview -- 2.2.2 WiFiTracer Architecture -- 2.2.2.1 Measurement Sample -- 2.2.3 Measurement Sampling Procedure -- 2.3 Sensing Result Analysis -- 2.3.1 Basic WiFi Dataset -- 2.3.2 General Analysis of WiFi Networks -- 2.3.2.1 Heatmap of WiFi APs' Distribution -- 2.3.2.2 WiFi Channel Usage -- 2.3.2.3 WiFi AP Hardware Legality -- 2.3.2.4 Density of WiFi APs and Networks -- 2.3.2.5 Utilization in 5GHz Band -- 2.3.3 Characterizing Public Campus WiFi Networks -- 2.3.3.1 Indoor vs. Outdoor Channel Usage -- 2.3.3.2 Indoor vs. Outdoor Interference of Public WiFi Networks -- 2.3.3.3 Interference of Hybrid WiFi Networks -- 2.3.3.4 Dynamic Frequency Selection Detection -- 2.4 Characterization of WiFi Connection Time -- 2.4.1 WiFi Connection Dataset -- 2.4.2 Characterizing Successful WiFi Connections -- 2.4.2.1 Overall of WiFi Connection Time -- 2.4.2.2 Differentiate WiFi Connection Time by Various Devices -- 2.5 Related Work -- 2.6 Conclusion -- References. 3 People as Sensors: Towards a Human-Machine Cooperation Approach in Monitoring Landslides in the Three Gorges Reservoir Region, China -- 3.1 Introduction -- 3.2 Project Description -- 3.3 The Sensor-Based Monitor System -- 3.3.1 The Remote Sensing Monitoring System -- 3.3.2 The GPS System -- 3.3.3 The Comprehensive Monitoring System -- 3.4 The Human-Based Monitoring System: People as Sensors -- 3.5 The Monitoring and Early Warning Platform -- 3.6 Conclusions -- References -- 4 Two Major Applications in Vehicular Ad Hoc Networks -- 4.1 Introduction -- 4.2 Rear-End Collision Warning -- 4.2.1 Problem Description -- 4.2.2 Our Collaborative Real-Time Rear-End Collision Warning Algorithm -- 4.2.2.1 Identification of the Preceding Vehicle -- 4.2.2.2 Computation of Traffic Risk of the Following Vehicle -- 4.2.2.3 Assessment of Traffic Risk of the Following Vehicle -- 4.2.3 Evaluation -- 4.3 Automatic Incidents Detection -- 4.3.1 Problem Formulation -- 4.3.2 Our Automatic Incidents Detection Approach -- 4.3.3 Experiments and Analysis -- 4.3.3.1 Experiment Data Preparation and Evaluation Metrics -- 4.3.3.2 Experimental Design and Analysis -- 4.4 Conclusion -- References -- 5 Concurrency and Synchronization in Structured Cyber Physical Systems -- 5.1 Introduction -- 5.2 Concurrent Cyber Physical Systems: Modeling -- 5.2.1 Concurrency in Cyber Physical Systems -- 5.2.2 Coordination and Maintenance of Concurrent Cyber Physical Systems -- 5.2.3 Design Issues: Concurrent CPSs -- 5.2.4 Modeling Linear Concurrent CPS -- 5.3 Synchronization of Concurrent Cyber Physical Systems -- 5.3.1 Networked Cyber Physical Systems: Synchronization -- 5.3.2 Clock's Synchronization: Multidimensional CPSs -- 5.4 Temporal Semantics: Design of Cyber Physical Systems -- 5.4.1 Classification of Cyber Physical Systems (CPSs) -- 5.4.2 Real-Time CPSs: Temporal Semantics. 5.4.2.1 Goal: Optimal Utilization of Software/Hardware Resources to Meet the Time-Critical Deadline -- 5.4.2.2 Effective Idea: Edge Computing -- 5.4.3 Software System: Temporal Semantics -- 5.5 Reliability and Fault Tolerance: Concurrent CyberPhysical Systems -- 5.5.1 Fault Tolerance -- 5.5.2 Fault/Failure Localization: -- 5.5.3 Architectural Considerations: Cyber Physical Systems -- 5.5.4 Reliability and Fault Management Using Edge Servers -- 5.5.4.1 Reliability and Backup Policy -- 5.5.4.2 Fault Tolerance and Agent -- 5.6 Agent Working in Different Conditions -- 5.7 Conclusion -- References -- Part II Security and Privacy -- 6 Survey on Access Control Models Feasiblein Cyber-Physical Systems -- 6.1 Introduction -- 6.2 Context-Related Features and Requirements -- 6.2.1 Constrained Device Classification -- 6.2.2 Constrained Networks -- 6.2.3 Life Cycle and Access Control Requirements -- 6.2.4 Use-Case-Driven Access Control Model -- 6.2.5 Security Policy -- 6.2.5.1 Policy Language -- 6.2.5.2 Policy Changes -- 6.2.6 Security Architecture Overview -- 6.2.6.1 Inherent Advantages and Drawbacks Related to the Security Architecture -- 6.2.6.2 Access Control Core Architecture Elements -- 6.2.7 Cryptographic Schema and Key Establishment -- 6.3 Access Control Foundations -- 6.3.1 Policy-Driven Security Management -- 6.3.1.1 Policy-Driven Architecture -- 6.3.1.2 Security Policy Foundation -- 6.3.2 Access Control Models -- 6.3.2.1 Attribute-Based Access Control (ABAC) Beyond Role-Based Access Control (RBAC) -- 6.3.2.2 Usage-Based Access Control: UCON -- 6.4 Access Control Policy Languages -- 6.4.1 XACML -- 6.4.2 Ponder Policy Language -- 6.4.3 Rei Policy Language -- 6.4.4 Authorization Specification Language (ASL) -- 6.4.5 Obligation Specification Language (OSL) -- 6.4.6 Privacy-Focused Policy Languages -- 6.4.7 Capability-Based Access Control CapBAC. 6.4.8 Discussion on Foundational Approaches -- 6.5 IoT Tailored Access Control Approaches -- 6.5.1 Authorization Framework for the IoT Based on XACML -- 6.5.1.1 Basic Operation -- 6.5.1.2 Tightness and Feasibility Discussion -- 6.5.2 Usage-Based Access Control Adapted to IoT (UCON) -- 6.5.2.1 Basic Operation -- 6.5.2.2 Tightness and Feasibility Discussion -- 6.5.3 CapBAC in IoT -- 6.5.3.1 Basic Operation -- 6.5.3.2 Tightness and Feasibility Discussion -- 6.5.4 Distributed CapBAC in IoT -- 6.5.4.1 Basic Operation -- 6.5.4.2 Tightness and Feasibility Discussion -- 6.5.5 Delegated CoAP Authentication and Authorization Framework (DCAF) -- 6.5.5.1 Basic Operation -- 6.5.5.2 Tightness and Feasibility Discussion -- 6.5.6 OSCAR -- 6.5.6.1 Basic Operation -- 6.5.6.2 Tightness and Feasibility Discussion -- 6.5.7 Ladon -- 6.5.7.1 Basic Operation -- 6.5.7.2 Tightness and Feasibility Discussion -- 6.5.8 Hidra -- 6.5.8.1 Basic Operation -- 6.5.8.2 Tightness and Feasibility Discussion -- 6.5.9 Discussion About IoT Taylored Access Control Solutions -- 6.6 Conclusions and Future Work -- References -- 7 Security Challenges and Concerns of Internet of Things (IoT) -- 7.1 Introduction -- 7.2 Internet of Things Architectures, Properties, and Security Requirements -- 7.2.1 Architectures and Basic Properties -- 7.2.2 Main Security Requirements and Their Sub-Components -- 7.2.2.1 Link Layer: IEEE 802.15.4 Security -- 7.2.2.2 IP Security: Network Layer -- 7.2.2.3 Security for Transport Layer -- 7.2.2.4 Network Security -- 7.2.2.5 Data Security in the Internet of Things World -- 7.3 Constrained Application Protocol: Application Layer Connection-Less Lightweight Protocol for the Internet of Things -- 7.3.1 Constrained Application Protocol -- 7.3.2 Constrained Application Protocol-IP Security. 7.4 Datagram Transport Layer Security Overview and Supporting Constrained Application Protocol -- 7.4.1 Datagram Transport Layer Security Protocol -- 7.4.1.1 Secure Service Manager Spoofing Attack -- 7.4.1.2 Semi End-to-End Security -- 7.4.1.3 Denial of Service -- 7.4.1.4 Single Point of Failure -- 7.4.1.5 Fragmentation Attacks -- 7.4.2 Supporting Constrained Application Protocol -- 7.5 Case Studies and Open Research Issues -- References -- 8 Retracted Chapter: Cyber-Physical System Security Controls: A Review -- 8.1 Introduction -- 8.2 Background -- 8.2.1 Cyber-Physical Systems -- 8.2.1.1 Industrial Control Systems (ICS) -- 8.2.1.2 Smart Grid Systems -- 8.2.1.3 Medical Devices -- 8.2.1.4 Smart Cars -- 8.2.2 CPS Communications -- 8.2.2.1 Communications in ICS -- 8.2.2.2 Communications in Smart Grid -- 8.2.2.3 Communications in Medical Devices -- 8.2.2.4 Communications in Smart Cars -- 8.2.3 CPS Models and Aspects -- 8.2.3.1 ICS -- 8.2.3.2 Smart Grid -- 8.2.3.3 Medical Device -- 8.2.3.4 Smart Cars -- 8.2.4 Security in CPS -- 8.2.4.1 Security in ICS -- 8.2.4.2 Security in Smart Grids -- 8.2.4.3 Security in Medical Devices -- 8.2.4.4 Security in Cars -- 8.3 CPS Security Threats -- 8.3.1 General CPS Threat Model -- 8.3.2 CPS Security Threats -- 8.3.2.1 Threats Against ICS -- 8.3.2.2 Threats Against Smart Grids -- 8.3.2.3 Threats Against Medical Devices -- 8.3.2.4 Threats Against Smart Cars -- 8.4 CPS Security Vulnerabilities -- 8.4.1 Causes of Vulnerabilities -- 8.4.2 Vulnerabilities in ICS -- 8.4.2.1 Cyber Vulnerabilities -- 8.4.2.2 Cyber-Physical Vulnerabilities -- 8.4.2.3 Physical Vulnerabilities -- 8.4.3 Vulnerabilities in Smart Grid -- 8.4.3.1 Cyber Vulnerabilities -- 8.4.3.2 Cyber-Physical Vulnerabilities -- 8.4.3.3 Physical Vulnerabilities -- 8.4.4 Vulnerabilities in Medical Devices -- 8.4.4.1 Cyber Vulnerabilities. 8.4.4.2 Cyber-Physical Vulnerabilities. EBL202002 Computing and Computers SzGeCERN BOOK Zeng, Deze https://cds.cern.ch/auth.py?r=EBLIB_P_5521338 ebook n 202007 202002 21 PUBLIC https://catalogue.library.cern/legacy/2710617 BOOK MIGRATED 2709320 20200212221134.0 oai:cds.cern.ch:2709320 cerncds:FULLTEXT ATL-MUON-SLIDE-2020-046 eng ATL-COM-MUON-2020-007 The ATLAS collaboration Studies of gas gaps current density in the ATLAS RPC detector during 2018 data taking at Large Hadron Collider 2020 CERN Geneva 12 Feb 2020 mult. p Krasnopevtsev, Dimitrii AUTHOR|(INSPIRE)INSPIRE-00349845 AUTHOR|(SzGeCERN)705258 University of Science and Technology of China Dimitriy.Krasnopevtsev@cern.ch The ATLAS Resistive Plate Chamber (RPC) detector is a tracking trigger, used to primarily select high momentum muons in the ATLAS barrel region (|\eta|<1.05) at the 40 MHz collision rate, and to provide muons azimuthal coordinates. The RPC system consists of about 3700 gas volumes covering a sensitive surface of about 4000 m^2. It is arranged in three concentric double layers distributed on a radial distance of about 5m and operating at approximately 0.5 Tesla toroidal magnetic field. RPCs provide 6 points along the muon track with a space-time resolution of about 1cm^2 x 1 ns. This work studies systematically gas gaps current as a function of the electric field applied on the gas, and environmental parameters both without/with the LHC beam induced background and up to an instantaneous luminosity L_inst =2x10^34 cm^-2 s^-1 (twice larger the design LHC luminosity). These measurements have been used to study the RPC working condition and to extrapolate the detector response to High Luminosity LHC regime with L_inst=7.5x10^34 cm^-2 s^-1. SLIDE CERN CDS-Invenio WebSubmit Particle Physics - Experiment SzGeCERN Muon SzGeCERN CERN ATLAS CERN RPC CERN Muon Spectrometer CERN DCS CERN INTNOTE PRIVATLAS PUBLATLASSLIDE CERN LHC ATLAS PH-EP ATLAS Collaboration http://cds.cern.ch/record/2708377 Original Communication (restricted to ATLAS) 1599699 3741827 http://cds.cern.ch/record/2709320/files/ATL-MUON-SLIDE-2020-046.pdf dimitriy.krasnopevtsev@cern.ch n 202070 91 2692559 roma20200210 PUBLIC 000768134CER PUBLATLASSLIDE Slides 2708858 SzGeCERN 20210422083115.0 9789811522949 electronic version electronic version 9789811522932 print version 9789811522956 print version 9789811522963 print version DOI 10.1007/978-981-15-2294-9 e-proceedings oai:cds.cern.ch:2708858 cerncds:CONF eng QC176.8.N35 T174.7 23 620.5 20190809 2nd International Conference ​on Nanomaterials and ​Advanced Composites Taipei, Taiwan 9 - 11 Aug 2019 2019 taipei20190809 2 TW NAC 2019 20190811 Singapore Springer 2020 ebook Springer proceedings in physics 242 0930-8989 Part 1: Nanomaterials and nanotechnology -- LPG sensing properties of electrospun in-situ polymerized polyaniline/MWCNT composite nanofibers -- Colour tunable photoluminescence from samarium and dysprosium co-doped ZnO nanofibers -- Electromagnetic interference shielding effectiveness of graphene based conducting polymer nanocomposites -- Phase separated structures of mixed carrageenan gels elucidated using particle tracking -- Part 2: Recycle composites -- Synthesis of Na-P zeolite from geothermal sludge -- Green composites based on poly (lactic acid) and bamboo fiber: flame retardancy, thermal, and mechanical properties -- Part 3: Green composites -- Study of Morphology and Environmental Properties of Styrene-Butadiene Rubber-Carbon Black Nanocomposites -- Removal of methyl orange dye from aqueous solution by PANI/TiO2 and PANI/graphene nanocomposites -- Electrospun Eu(TTA)3phen/polymer blend nanofibers for photoluminescent smart fabrics -- Influence of polymer in photoluminescence properties of electrospun Eu3+doped polymer nanofibers -- Part 4: Mechanical materials -- The effect of compressed air pressure and stand-off distance on the twin wire arc spray (TWAS) coating for pump impeller from AISI 304 stainless steel -- An application of high temperature gas nitriding (HTGN) method to improve the quality of implant materials 316L and 316LVM -- Effect of Variable Loading on Very High Cycle Fretting Fatigue of Chromium-Molybdenum Steel. This book presents selected articles from the 2nd International Conference on Nanomaterials and Advanced Composites, which brings together leading researchers and professionals from academia and industry to present their findings and provides a platform for the exchange of ideas and future collaboration. The book covers eight topics, including nanomaterials, polymer materials, mechanical materials, materials chemistry, materials physics, ceramics, recycling materials and green composites. Physics and astronomy SPR202002 SzGeCERN Engineering SPR Ceramics SPR Glass SPR Composites (Materials) SPR Composite materials SPR Ceramics, Glass, Composites, Natural Materials CONFERENCE PROCEEDINGS Murakami, Ri-Ichi ed. Koinkar, Pankaj ed. Fujii, Tomoyuki ed. Kim, Tae-Gyu ed. Abdullah, Hairus ed. NAC 2019 Acronym 202002 SPR n 202006 42 PUBLIC https://catalogue.library.cern/legacy/2708858 PROCEEDINGS MIGRATED 2708835 20250515232043.0 oai:cds.cern.ch:2708835 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN CERN-THESIS-2019-284 eng Di Castro, Mario Madrid, Polytechnic U. A Novel Robotic Framework for Safe Inspection and Telemanipulation in Hazardous and Unstructured Environments 304 p Presented 27 Sep 2019 PhD Madrid, Polytechnic U. 2019 Intelligent robotic systems are becoming essential for space applications, industries, nuclear plants and for harsh environments in general, such as the European Organization for Nuclear Research (CERN) particles accelerator complex and experiments. Robotics technology has huge potential benefits for people and its ultimate scope depends on the way this technology is used. In order to increase safety and machine availability, robots can perform repetitive, unplanned and dangerous tasks, which humans either prefer to avoid or are unable to carry out due to hazards, size constraints, or the extreme environments in which they take place. Nowadays, mechatronic systems use mature technologies that allow their robust and safe use, even in collaboration with human workers. Over the past years, the progress of robots has been based on the development of smart sensors, artificial intelligence and modular mechanical systems. Due to the multiple challenges that hazardous and unstructured environments have for the application of autonomous industrial systems, there is still a high demand for intelligent and teleoperation systems that give the control of a robot (slave) to a human operator via haptic input devices (master), as well as using human-supervised telerobotic control techniques. Modern techniques like simulation and virtual reality systems can facilitate the preparation of ad-hoc mechatronic tools and robotic intervention including recovery scenarios and failure mode analysis. The basic contribution of this thesis is the development of a novel robotic framework for autonomous inspections and supervised teleoperations in harsh environments. The proposed framework covers all aspects of a robotic intervention, from the specification and operator training, the choice of the robot and its material in accordance with possible radiological contamination risks, to the realization of the intervention, including procedures and recovery scenarios. In a second set of contributions, new methods for mutirobots maintenance operations are developed, including intervention preparation and best practices for remote handling and advanced tools. The third set of contributions is built on a novel multimodal user-friendly human-robot interface that allows operator training using virtual reality systems and technicians not expert in robot operation to perform inspection/maintenance tasks. In this thesis, we exploit a robotic system able to navigate autonomously and to inspect unknown environments in a safe way. A new real-time control system has been implemented in order to guarantee a fast response to environmental changes and adaptation to different type of scenarios the robot may find in a semi-structured and hazardous environment. The proposed new robotic control system has been integrated on different robots, tested and validated with several robotic interventions in the CERN hazardous particle accelerator complex. CERN EDS SzGeCERN Engineering CERN THESIS Not applicable Not applicable Not applicable Masi, Alessandro dir. CERN Ferre Pérez, Manuel dir. Madrid, Polytechnic U. EN 1598961 144908045 http://cds.cern.ch/record/2708835/files/CERN-THESIS-2019-284.pdf mario.di.castro@cern.ch n 202006 a2020 14 PUBLIC https://repository.cern/legacy/record/2708835 THESIS MIGRATED 2708796 SzGeCERN 20210421201032.0 9783030396633 electronic version electronic version 9783030396626 print version 9783030396640 print version 9783030396657 print version DOI 10.1007/978-3-030-39663-3 ebook oai:cds.cern.ch:2708796 cerncds:BOOK eng QC450-467 QC718.5.S6 23 621.36 Bertrand, Patrick Electron paramagnetic resonance spectroscopy fundamentals Cham Springer 2020 ebook Preface -- Fundamental constants - Units conversion -- The electron paramagnetic resonance phenomenon -- Hyperfine structure of the spectrum in the isotropic regime -- Introduction to the spin states space formalism -- Consequences of the anisotropy of G and A matrices on the shape of spectra given by radicals and transition ions complexes -- Intensity of the spectrum, saturation, spin-lattice relaxation -- Zero field splitting. EPR spectra given by paramagnetic centers with spin greater than ½ -- Effect of dipolar and exchange interactions on the EPR spectrum - Biradicals and polynuclear complexes -- EPR spectra given by rare earth and actinide complexes -- Effect of instrumental parameters on the shape and intensity of the spectrum - Introduction to numerical simulation techniques. Although originally invented and employed by physicists, electron paramagnetic resonance (EPR) spectroscopy has proven to be a very efficient technique for studying a wide range of phenomena in many fields, such as chemistry, biochemistry, geology, archaeology, medicine, biotechnology, and environmental sciences. Acknowledging that not all studies require the same level of understanding of this technique, this book thus provides a practical treatise clearly oriented toward applications, which should be useful to students and researchers of various levels and disciplines. In this book, the principles of continuous wave EPR spectroscopy are progressively, but rigorously, introduced, with emphasis on interpretation of the collected spectra. Each chapter is followed by a section highlighting important points for applications, together with exercises solved at the end of the book. A glossary defines the main terms used in the book, and particular topics, whose knowledge is not required for understanding the main text, are developed in appendices for more inquisitive readers. Physics and astronomy SPR202002 SzGeCERN Other Fields of Physics SPR Spectroscopy SPR Microscopy SPR Atomic structure   SPR Molecular structure  SPR Magnetism SPR Magnetic materials SPR Crystallography SPR Spectroscopy and Microscopy SPR AtomicMolecular Structure and Spectra SPR Magnetism, Magnetic Materials SPR Crystallography and Scattering Methods BOOK 202002 SPR n 202006 21 PUBLIC https://catalogue.library.cern/legacy/2708796 BOOK MIGRATED 2708776 SzGeCERN 20210421201034.0 9789811509285 electronic version electronic version print version 9789811509278 print version 9789811509292 print version 9789811509308 DOI 10.1007/978-981-15-0928-5 ebook oai:cds.cern.ch:2708776 cerncds:BOOK eng TA342-343 003.3 23 Mathematical modelling, optimization, analytic and numerical solutions Singapore Springer 2020 ebook Industrial and applied mathematics 2364-6837 Chapter 1. Mathematical Study of Psoriasis Treatment by Interleukin 10 Through Impulsive Control Strategy -- Chapter 2. Multigrid Methods for the Simulations of Surfactant -- Chapter 3. Spreading on a Thin Liquid Film -- Chapter 4. Proximinality and Remotality in Abstract Spaces -- Chapter 5. Hopf bifurcation in a mathematical model of tuberculosis with delay -- Chapter 6. Numerical simulation of cable equation using Differential quadrature method -- Chapter 7. Numerical Simulation of Dusty Air Flow and Particle Deposition Inside Permeable Alveolar Duct -- Chapter 8. Size- Biased Poisson-Ishita Distribution And Its Applications To Thunderstorm Events -- Chapter 9. Resilience and dynamics of coral reefs impacted by chemically rich seaweeds and unsustainable fishing stability of fractional volterra integrodiff eqns -- Chapter 10. On Fractional Partial Differential Equations of Diffusion Type with Integral Kernel -- Chapter 11. Mathematical Study on Human Cells Interaction Dynamics for HIV-TB Co-infection -- Chapter 12. Controllability of Nonlinear Fractional Damped Delay Systems with Multiple Delays in Control -- Chapter 13. Existence and stability results for stochastic fractional delay differential equations with Gaussian noise -- Chapter 14. A Graphical User Interface based Fingerprint Recognition -- Chapter 15. Bicomplex Matrix Semigroups -- Chapter 16. Mixed-Integer Optimal Control For Pdes: Relaxation Via Differential Inclusions And Applications To Gas Network Optimization -- Chapter 17. Schrödinger operators with a switching effect -- Chapter 18. Distribution Theory by Riemann Integrals -- Chapter 19. Wavelet Galerkin Methods for Higher Order Partial Differential Equations -- Chapter 20. Critical growth elliptic problems with Choquard type non linearity -- Chapter 21. A New Model For Transient Flow In Gas Transportation Networks -- Chapter 22. Partial differential equations on metric graphs: A survey of -- Chapter 23. Wavelet-Neural-Fuzzy Coupled Modeling of National Stock Exchange (NSE) for Opening and Closing Stock -- Chapter 24. Topological analysis of a weighted human behavior model coupled on a streets and places network in the context of urban terrorist attack. This book discusses a variety of topics related to industrial and applied mathematics, focusing on wavelet theory, sampling theorems, inverse problems and their applications, partial differential equations as a model of real-world problems, computational linguistics, mathematical models and methods for meteorology, earth systems, environmental and medical science, and the oil industry. It features papers presented at the International Conference in Conjunction with 14th Biennial Conference of ISIAM, held at Guru Nanak Dev University, Amritsar, India, on 2–4 February 2018. The conference has emerged as an influential forum, bringing together prominent academic scientists, experts from industry, and researchers. The topics discussed include Schrodinger operators, quantum kinetic equations and their application, extensions of fractional integral transforms, electrical impedance tomography, diffuse optical tomography, Galerkin method by using wavelets, a Cauchy problem associated with Korteweg–de Vries equation, and entropy solution for scalar conservation laws. This book motivates and inspires young researchers in the fields of industrial and applied mathematics. Mathematics and statistics SPR202002 SzGeCERN Mathematical Physics and Mathematics SPR Numerical analysis SPR Numerical Analysis BOOK Manchanda, Pammy ed. Lozi, René ed. Siddiqi, Abul ed. SPR n 202006 202002 21 PUBLIC https://catalogue.library.cern/legacy/2708776 BOOK MIGRATED 2708708 20260411072117.0 oai:cds.cern.ch:2708708 cerncds:FULLTEXT cerncds:REPORT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2002.02837 oai:inspirehep.net:1779145 https://inspirehep.net/api/oai2d Inspire 2026-04-10T09:52:02Z 2026-04-11T02:02:08Z marcxml true Inspire 1779145 arXiv arXiv:2002.02837 hep-ex arXiv:reportnumber CERN-OPEN-2020-006 eng Bethani, A. ed. Cathol. U. Louvain (main) Université catholique de Louvain, Chemin du Cyclotron 2, Louvain-la-Neuve, Belgium arXiv Report on the ECFA Early-Career Researchers Debate on the 2020 European Strategy Update for Particle Physics 2020 Geneva CERN 06 Feb 2020 48 p arXiv Editors: A. Bethani, E. Brondolin, A. A. Elliot, J. Garc\'ia Pardi\~nas, G. Gilles, L. Gouskos, E. Gouveia, E. Graverini, N. Hermansson-Truedsson, A. Irles, H. Jansen, K. H. Mankinen, E. Manoni, A. Mathad, J. McFayden, M. Queitsch-Maitland, J. Rembser, E. T. J. Reynolds, R. Sch\"ofbeck, P. Schwendimann, S. Sekmen, P. Sznajder, S. L. Williams, D. Zanzi A group of Early-Career Researchers (ECRs) has been given a mandate from the European Committee for Future Accelerators (ECFA) to debate the topics of the current European Strategy Update (ESU) for Particle Physics and to summarise the outcome in a brief document [1]. A full-day debate with 180 delegates was held at CERN, followed by a survey collecting quantitative input. During the debate, the ECRs discussed future colliders in terms of the physics prospects, their implications for accelerator and detector technology as well as computing and software. The discussion was organised into several topic areas. From these areas two common themes were particularly highlighted by the ECRs: sociological and human aspects; and issues of the environmental impact and sustainability of our research. arXiv A group of Early-Career Researchers (ECRs) has been given a mandate from the European Committee for Future Accelerators (ECFA) to debate the topics of the current European Strategy Update (ESU) for Particle Physics and to summarise the outcome in a brief document [1]. A full-day debate with 180 delegates was held at CERN, followed by a survey collecting quantitative input. During the debate, the ECRs discussed future colliders in terms of the physics prospects, their implications for accelerator and detector technology as well as computing and software. The discussion was organised into several topic areas. From these areas two common themes were particularly highlighted by the ECRs: sociological and human aspects; and issues of the environmental impact and sustainability of our research. preprint CC-BY-4.0 http://creativecommons.org/licenses/by/4.0/ CERN EDS SzGeCERN Physics in General SzGeCERN Particle Physics - Phenomenology arXiv hep-ex SzGeCERN Particle Physics - Experiment arXiv hep-ph CERN REPORT Brondolin, E. ed. CERN CERN, Esplanade des Particules 1, Geneva, Switzerland Elliot, A.A. ed. Queen Mary, U. of London (main) Queen Mary University of London, Mile End Road, London, United Kingdom García Pardiñas, J. ed. U. Zurich (main) Universität Zürich, Winterthurerstrasse 190, Zürich, Switzerland Gilles, G. ed. Bergische U., Wuppertal (main) Bergische Universität Wuppertal, Gaussstrasse 20, Wuppertal, Germany Gouskos, L. ed. CERN CERN, Geneve 23, Geneva, Switzerland Gouveia, E. ed. LIP, Minho LIP, Campus de Gualtar, Braga, Portugal Graverini, E. ed. Ecole Polytechnique, Lausanne Ecole Polytechnique Fédérale de Lausanne (EPFL), Cubotron, Lausanne, Switzerland Hermansson-Truedsson, N. ed. Lund U. (main) Lund University (Currently at Universität Bern), Sölvegatan 14A, Lund, Sweden Irles, A. ed. IJCLab, Orsay Universit´e Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France Jansen, H. ed. DESY DESY, Notkestr. 85, Hamburg, Germany Mankinen, K.H. ed. Lund U. (main) Lund University, Professorsgatan 1, Lund, Sweden Manoni, E. ed. INFN, Perugia INFN Sezione di Perugia, Via A Pascoli, Perugia, Italy Mathad, A. ed. U. Zurich (main) Universität Zürich, Winterthurerstrasse 190, Zürich, Switzerland McFayden, J. ed. CERN CERN, Esplanade des Particules 1, Geneva, Switzerland Queitsch-Maitland, M. ed. CERN CERN, Esplanade des Particules 1, Geneva, Switzerland Rembser, J. ed. Ecole Polytechnique CNRS/IN2P3, Institut Polytechnique de Paris, Ecole Polytechnique, Palaiseau, France Reynolds, E.T.J. ed. Birmingham U. (main) University of Birmingham, Edgbaston, Birmingham, United Kingdom Schöfbeck, R. ed. Vienna, OAW HEPHY, Nikolsdorfergasse 18, Vienna, Austria Schwendimann, P. ed. PSI, Villigen Paul Scherrer Institute, Forschungsstrasse 111, Villigen PSI, Switzerland Sekmen, S. ed. Kyungpook Natl. U., Daegu (Main) Kyungpook National University, 80 Daehak-ro Buk-gu, Daegu, Republic of Korea Sznajder, P. ed. NCBJ, Warsaw National Centre for Nuclear Research (NCBJ), Pasteura 7, Warsaw, Poland Williams, S.L. ed. Cambridge U. (main) University of Cambridge, JJ Thomson Avenue, Cambridge, United Kingdom Zanzi, D. ed. CERN CERN, Esplanade des Particules 1, Geneva, Switzerland Andari, N. Saclay CEA, Saclay, France Apolinário, L. LIP LIP, Avenida Prof. Gama Pinto 2, Lisbon, Portugal Augsten, K. Prague, Tech. U. Czech Technical University in Prague, Brehova 7, Prague, Czech Republic Bakos, E. Belgrade, Inst. Phys. Institute if Physics Belgrade, Pregrevica 118, Belgrade, Serbia Bellafont, I. CELLS - ALBA, LLS CELLS-ALBA, Carrer de la Llum 2-26, Cerdanyola del Vallès, Spain Beresford, L. Oxford U. The University of Oxford, Keble road, Oxford, United Kingdom Bethani, A. Cathol. U. Louvain (main) Université catholique de Louvain, Chemin du Cyclotron 2, Louvain-la-Neuve, Belgium Beyer, J. DESY DESY Hamburg, Notkestr. 85, Hamburg, Germany Bianchini, L. INFN, Pisa INFN Sezione di Pisa, Edificio C - Polo Fibonacci Largo B. Pontecorvo, 3, Pisa, Italy Bierlich, C. Lund U. (main) Lund University, Sölvegatan 14A, Lund, Sweden Bilin, B. U. Brussels (main) ULB/IIHE, Boulevard du Triomphe, Brussels, Belgium Bjørke, K.L. U. Oslo (main) University of Oslo, Sem Sælands vei 24, Oslo, Norway Bols, E. Vrije U., Brussels Vrije Universiteit Brussel, Pleinlaan 2, Brussels, Belgium Brás, P.A. LIP, Lisbon Laboratory of Instrumentation and Experimental Particle Physics, Av. Gama Pinto, Lisbon, Portugal Brenner, L. DESY DESY - Deutsches Elektronen-SYnchrotron, Notkestraße 85, Hamburg, Germany Brondolin, E. CERN CERN, Esplanade des Particules 1, Geneva, Switzerland Calvo, P. Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Avenida Complutense 40, Madrid, Spain Capdevila, B. Barcelona, IFAE Institut de Física d’Altes Energies, Campus UAB, Edifici Cn, Bellaterra (Barcelona), Spain Cioara, I. Bucharest, IFIN-HH Horia Hulubei National Institute for R&D in Physics and Nuclear Engineering, Reactorului 30 , BucharestMG, Romania Cojocariu, L.N. Bucharest, IFIN-HH Horia Hulubei National Institute for R&D in Physics and Nuclear Engineering (IFIN-HH), Reactorului 30, Bucharest-MG, Romania Collamati, F. INFN, Rome Istituto Nazionale di Fisica Nucleare, Sezione di Roma, Piazzale Aldo Moro 2, Roma, Italy de Wit, A. DEY DESY, Notkestr. 85, Hamburg, Germany Dordei, F. INFN, Cagliari Istituto Nazionale di Fisica Nucleare (INFN), sezione di Cagliari, Complesso Universitario di Monserrato - S.P. per Sestu Km 0.700, Monserrato (Cagliari), Italy Dordevic, M. VINCA Inst. Nucl. Sci., Belgrade VINCA Institute of Nuclear Sciences, University of Belgrade, Mike Petrovica Alasa 12-14, Belgrade,Serbia du Pree, T.A. Nikhef, Amsterdam Nikhef, National Institute of Subatomic Physics, Science Park 105, Amsterdam, The Netherlands Dufour, L. CERN CERN, Esplanade des Particules 1, Geneva, Switzerland Dziurda, A. Cracow, INP Institute of Nuclear Physics Polish Academy of Science, Radzikowskiego 152, Krakow, Poland Einhaus, U. DESY DESY, Notkestr. 85, Hamburg, Germany Elliot, A.A. Queen Mary, U. of London (main) Queen Mary University of London, Mile End Road, London, United Kingdom Esen, S. Nikhef, Amsterdam Nikhef, Science Park 105, Amsterdam, Netherlands Ferradas Troitino, J. CERN CERN, Esplanade des Particules 1, Geneva, Switzerland Franco, C. LIP, Lisbon LIP, Av. Prof. Gama Pinto 2, Lisbon, Portugal García Pardiñas, J. U. Zurich (main) Universität Zürich, Winterthurerstrasse 190, Zürich, Switzerland García Alonso, A. Cantabria Inst. of Phys. IFCA, Av. de los Castros, Santander, Spain Ghosh, A. IJCLab, Orsay Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France Gilles, G. Bergische U., Wuppertal (main) Bergische Universität Wuppertal, Gaussstrasse 20, Wuppertal, Germany Giribono, A. Frascati INFN - LNF, Via Enrico Fermi 40, Frascati, Italy Gouskos, L. CERN CERN, Geneve 23, Geneva, Switzerland Gouveia, E. LIP, Minho LIP, Campus de Gualtar, Braga, Portugal Graverini, E. Ecole Polytechnique, Lausanne Ecole Polytechnique Fédérale de Lausanne (EPFL), Cubotron, Lausanne, Switzerland ´ Heikkilä, J.K. U. Zurich (main) University of Zurich, Winterthurerstrasse 190, Zurich, Switzerland Heracleous, H.N. CERN CERN, Esplanade des Particules 1, Geneva, Switzerland Herman, T. Prague, Tech. U. Czech Technical University in Prague, Brehova 7, Prague, Czech Republic Hermansson-Truedsson, N. Lund U. Lund University (Currently at Universität Bern), Sölvegatan 14A, Lund, Sweden Hrtánková, J. Rez, Nucl. Phys. Inst. Nuclear Physics Institute of the Czech Academy of Sciences, Husinec - Rež 130, ˇ Rež, Czech Republic ˇ Hussain, P.S. OAW, Vienna HEPHY, Apostelgasse 23, Wien, Austria Irles, A. IJCLab, Orsay Universit´e Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France Jansen, H. DESY DESY, Notkestr. 85, Hamburg, Germany Kalaczynski, P. NCBJ, Warsaw NCBJ, Pasteura 7, Warsaw, Poland Karancsi, J. KLTE-ATOMKI Institute for Nuclear Research (ATOMKI), Bem tér 18/c, Debrecen, Hungary Kontaxakis, P. Athens Natl. Capodistrian U. National and Kapodistrian University of Athens, Panepistimioupolis, Athens, Greece Kostoglou, S. Natl. Tech. U., Athens National Technical University of Athens (NTUA), Iroon Polytechniou 9, Athens, Greece Koulouris, A. Natl. Tech. U., Athens NTU Athens, 9, Iroon Polytechniou str, Athens, Greece Koval, M. Charles U., Prague (main) Charles University, V Holesovickach 2, Prague, Czech Republic Krizkova Gajdosova, K. Prague, Tech. U. Czech Technical University in Prague, Brehova 7, Prague, Czech Republic Krzysiak, J.A. Cracow, INP IFJ PAN (Institute of Nuclear Physics, Polish Academy of Sciences), ul. Radzikowskiego 152, Krakow, Poland Kuich, M. Warsaw U. (main) University of Warsaw, Pateura 5, Warsaw, Poland Lantwin, O. U. Zurich (main) Universität Zürich, Winterthurerstrasse 190, Zürich, Switzerland Lasagni Manghi, F. INFN, Bologna INFN Bologna, Viale Carlo Berti Pichat 6, Bologna, Italy Lechner, L. OAW, Vienna Institute for High Energy Physics, Nikolsdorfer Gasse 18, Vienna, Austria Leontsinis, S. U. Zurich (main) University of Zurich, Winterthurerstrasse 190, Zurich, Switzerland Lieret, K. LMU Munich (main) Ludwig Maximilan University, Geschwister-Scholl-Platz 1, Munich, Germany Lobanov, A. Ec. Polytech., Palaiseau (main) Ecole Polytechnique, 91128 Palaiseau Cedex, Palaiseau, France Lorenz, J.M. Munich U., Neutron Group LMU Muenchen, Am Coulombwall 1, Garching, Germany Luparello, G. INFN, Trieste Istituto Nazionale di Fisica Nucleare (INFN), sezione di Trieste, Via Alfonso Valerio 1, Trieste, Italy Lurkin, N. Birmingham U. University of Birmingham, University of Birmingham, Birmingham, United Kingdom Mankinen, K.H. Lund U. (main) Lund University, Professorsgatan 1, Lund, Sweden Manoni, E. INFN, Perugia INFN Sezione di Perugia, Via A Pascoli, Perugia, Italy Mantani, L. Cathol. U. Louvain (main) Université catholique de Louvain, Chemin du Cyclotron 2, Louvain la Neuve, Belgium Marchevski, R. CERN CERN, Esplanade des Particules 1, Geneva, Switzerland Marin Benito, C. ICJLab, Orsay Universit´e Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France Mathad, A. U. Zurich (main) Universität Zürich, Winterthurerstrasse 190, Zürich, Switzerland McFayden, J. CERN CERN, Esplanade des Particules 1, Geneva, Switzerland Milenovic, P. Belgrade U. University of Belgrade, Studentski trg 12, Belgrade, Serbia Milosevic, V. Imperial Coll., London Imperial College London, Blackett Laboratory, Prince Consort Rd, London, United Kingdom Mitzel, D.S. CERN CERN, Esplanade des Particules 1, Geneva, Switzerland Moravcová, Z. Bohr Inst. Niels Bohr Institute, University of Copenhagen, Blegdamsvej 17, Copenhagen, Denmark Moureaux, L. U. Brussels (main) ULB, Boulevard du Triomphe, 2, Brussels, Belgium Mullier, G.A. Lund University, Professorsgatan 1, Lund, Sweden Nelson, M.E. Stockholm University and The Oskar Klein Centre for Cosmoparticle Physics, Roslagstullsbacken 21, Stockholm, Sweden Ngadiuba, J. CERN, Esplanade des Particules 1, Geneva, Switzerland Nikiforou, N. University of Texas at Austin, 2515 Speedway, Austin, TX, United States OKeefe, M.W. University of Liverpool, The Oliver Lodge Laboratory, Liverpool, United Kingdom ´ Pedro, R. LIP, Avenida Professor Gama Pinto 2, Lisbon, Portugal Pekkanen, J. University at Buffalo, 239 Fronczak Hall, Buffalo, United States Queitsch-Maitland, M. CERN, Esplanade des Particules 1, Geneva, Switzerland Ramos, M.P.L.P. LIP, Campus de Gualtar, Braga, Portugal Rasmussen, C.Ø. CERN, Esplanade des Particules 1, Geneva, Switzerland Rembser, J. Ecole Polytechnique CNRS/IN2P3, Institut Polytechnique de Paris, Ecole Polytechnique, Palaiseau, France Reynolds, E.T.J. Birmingham U. University of Birmingham, Edgbaston, Birmingham, United Kingdom Sas, M. Nikhef/Utrecht University, Science Park 105, Amsterdam, Netherlands Schöfbeck, R. HEPHY, Nikolsdorfergasse 18, Vienna, Austria Schenk, M. EPFL, Route Cantonale, Lausanne, Switzerland Schwendimann, P. Paul Scherrer Institute, Forschungsstrasse 111, Villigen PSI, Switzerland Shchelina, K. LIP, Av. Prof. Gama Pinto 2, Lisbon, Portugal Shopova, M. Institute for Nuclear Research and Nuclear Energy (INRNE) - BAS, blvd. Tzarigradsko Shaussee 72, Sofia, Bulgaria Sekmen, S. Kyungpook National University, 80 Daehak-ro Buk-gu, Daegu, Republic of Korea Spannagel, S. DESY, Notkestr. 85, Hamburg, Germany Sputowska, I.A. The Henryk Niewodniczánski Institute of Nuclear Physics Polish Academy of Sciences, ul. Radzikowskiego 152, Kraków, Poland Staszewski, R. Institute of Nuclear Physics Polish Academy of Sciences, Radzikowskiego 152, Cracow, Poland Sznajder, P. National Centre for Nuclear Research (NCBJ), Pasteura 7, Warsaw, Poland Takacs, A. University of Bergen, Allegt. 55, Bergen, Norway Tenorth, V.T. Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, Heidelberg, Germany Thomas, L. ULB, Boulevard du Triomphe 2, Bruxelles, Belgium Torre, R. CERN CERN, Esplanade des Particules 1, Geneva, Switzerland Trovato, F. U. Sussex (main) University of Sussex, Science Park Rd, Falmer, Brighton BN1 9RQ, Brighton, UK Valente, M. U. Geneva (main) Université de Genève, Quai Ernest-Ansermet 24, Genève, Switzerland Van Haevermaet, H. U. Antwerp (main) University Of Antwerp, Groenenborgerlaan 171, Antwerpen, Belgium Vanek, J. Rez, Nucl. Phys. Inst. Nuclear Physics Institute, Czech Academy of Sciences, Husinec - Rez 130, Rez, Czech Republic Verstraeten, M. U. Antwerp (main) Universiteit Antwerpen, Prinsstraat 13, Antwerp, Belgium Verwilligen, P. INFN, Bari INFN sezione di Bari, Via E. Orabona 4, Bari, Italy Verzetti, M. CERN CERN, Esplanade des Particules 1, Geneva, Switzerland Vislavicius, V. U. Copenhagen (main) University of Copenhagen, Blegdamsvej 17, Copenhagen, Denmark Vormwald, B. Hamburg U. University of Hamburg, Luruper Chaussee 149, Hamburg, Germany Vourliotis, E. Athens Natl. Capodistrian U. National and Kapodistrian University of Athens, Panepistimiopolis, Athens, Greece Walder, J. Lancaster U. (main) Lancaster University, Physics Avenue, Lancaster, United Kingdom Wiglesworth, C. U. Copenhagen (main) University of Copenhagen, Blegdamsvej 17, Copenhagen, Denmark Williams, S.L. Cambridge U. (main) University of Cambridge, JJ Thomson Avenue, Cambridge, United Kingdom Zaborowska, A. CERN CERN, Esplanade des Particules 1, Geneva, Switzerland Zanzi, D. CERN CERN, Esplanade des Particules 1, Geneva, Switzerland Zivkovic, L. Belgrade, Inst. Phys. Institute of Physics Belgrade, Pregrevica 118, Belgrade, Serbia EP https://cerncourier.com/a/a-wake-up-call-from-the-next-generation/ CERN Courier article 1598906 3045945 http://cds.cern.ch/record/2708708/files/CERN-OPEN-2020-006.pdf Fulltext 1599353 6725 http://cds.cern.ch/record/2708708/files/Current_areas_of_work.png 00002 Current area(s) of work (left) and projects (right) of the ECRs. 1599354 9749 http://cds.cern.ch/record/2708708/files/Most_important_interesting_topics.png 00006 Most important and most interesting topics in HEP. 1599355 5517 http://cds.cern.ch/record/2708708/files/Current_project.png 00003 Current area(s) of work (left) and projects (right) of the ECRs. 1599356 27726 http://cds.cern.ch/record/2708708/files/Area_least_likely_to_further_career.png 00005 The areas of work which ECRs think are most (left) and least (right) likely to further their careers. 1599357 41797 http://cds.cern.ch/record/2708708/files/survey_gen_q5.png 00013 Results of question 5 of the general information section of the ECR survey. 1599358 31469 http://cds.cern.ch/record/2708708/files/survey_ecfa_q8.png 00025 Results of question 8 for the European Strategy Update section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599359 94542 http://cds.cern.ch/record/2708708/files/strawmenScenarios.png 00001 Five possible future collider scenarios considered for CERN (top) and possible scenarios of future colliders in a more global context (bottom). Slides taken from slides by Prof. Jorgen D'Hondt at the ECR debate on November 15th, 2019. 1599360 7883 http://cds.cern.ch/record/2708708/files/Current_career_stage.png 00012 Results of question 4 of the general information section of the ECR survey. 1599361 35193 http://cds.cern.ch/record/2708708/files/survey_ecfa_q4.png 00021 Results of question 4 for the European Strategy Update section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599362 29808 http://cds.cern.ch/record/2708708/files/survey_ecfa_q5.png 00022 Results of question 5 for the European Strategy Update section of the ECR survey. 1599363 39071 http://cds.cern.ch/record/2708708/files/survey_ecfa_q6.png 00023 Results of question 6 for the European Strategy Update section of the ECR survey. 1599364 42851 http://cds.cern.ch/record/2708708/files/survey_ecfa_q7.png 00024 Results of question 7 for the European Strategy Update section of the ECR survey. 1599365 36470 http://cds.cern.ch/record/2708708/files/survey_ecfa_q1.png 00018 Results of question 1 for the European Strategy Update section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599366 41038 http://cds.cern.ch/record/2708708/files/survey_ecfa_q2.png 00019 Results of question 2 for the European Strategy Update section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599367 61981 http://cds.cern.ch/record/2708708/files/survey_ecfa_q3.png 00020 Results of question 3 for the European Strategy Update section of the ECR survey. 1599368 34783 http://cds.cern.ch/record/2708708/files/survey_gen_q3.png 00011 Results of question 3 of the general information section of the ECR survey. 1599369 56558 http://cds.cern.ch/record/2708708/files/survey_humansocial_q18.png 00050 Results of question 18 for the Human and Social Factors section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599371 55174 http://cds.cern.ch/record/2708708/files/survey_humansocial_q14.png 00046 Results of question 14 for the Human and Social Factors section of the ECR survey. 1599372 45621 http://cds.cern.ch/record/2708708/files/survey_humansocial_q15.png 00047 Results of question 15 for the Human and Social Factors section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599373 54550 http://cds.cern.ch/record/2708708/files/survey_humansocial_q16.png 00048 Results of question 16 for the Human and Social Factors section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599374 53048 http://cds.cern.ch/record/2708708/files/survey_humansocial_q17.png 00049 Results of question 17 for the Human and Social Factors section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599375 33084 http://cds.cern.ch/record/2708708/files/survey_humansocial_q10.png 00042 Results of question 10 for the Human and Social Factors section of the ECR survey. 1599376 44048 http://cds.cern.ch/record/2708708/files/survey_humansocial_q11.png 00043 Results of question 11 for the Human and Social Factors section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599377 53968 http://cds.cern.ch/record/2708708/files/survey_humansocial_q12.png 00044 Results of question 12 for the Human and Social Factors section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599378 57831 http://cds.cern.ch/record/2708708/files/survey_humansocial_q13.png 00045 Results of question 13 for the Human and Social Factors section of the ECR survey. 1599379 15561 http://cds.cern.ch/record/2708708/files/scenarios.png 00000 Five possible future collider scenarios considered for CERN (top) and possible scenarios of future colliders in a more global context (bottom). Slides taken from slides by Prof. Jorgen D'Hondt at the ECR debate on November 15th, 2019. 1599380 45128 http://cds.cern.ch/record/2708708/files/survey_humansocial_q8.png 00040 Results of question 8 for the Human and Social Factors section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599381 53284 http://cds.cern.ch/record/2708708/files/survey_humansocial_q9.png 00041 Results of question 9 for the Human and Social Factors section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599382 43898 http://cds.cern.ch/record/2708708/files/Current_location.png 00010 Results of question 1 and question 2 of the general information section of the survey, which ask about the nationality and current location of ECRs. 1599383 44419 http://cds.cern.ch/record/2708708/files/survey_humansocial_q2.png 00034 Results of question 2 for the Human and Social Factors section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599384 50106 http://cds.cern.ch/record/2708708/files/Nationality.png 00009 Results of question 1 and question 2 of the general information section of the survey, which ask about the nationality and current location of ECRs. 1599385 40446 http://cds.cern.ch/record/2708708/files/survey_humansocial_q1.png 00033 Results of question 1 for the Human and Social Factors section of the ECR survey. 1599386 45275 http://cds.cern.ch/record/2708708/files/survey_humansocial_q6.png 00038 Results of question 6 for the Human and Social Factors section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599387 44166 http://cds.cern.ch/record/2708708/files/survey_humansocial_q7.png 00039 Results of question 7 for the Human and Social Factors section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599388 49275 http://cds.cern.ch/record/2708708/files/survey_humansocial_q4.png 00036 Results of question 4 for the Human and Social Factors section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599389 54154 http://cds.cern.ch/record/2708708/files/survey_humansocial_q5.png 00037 Results of question 5 for the Human and Social Factors section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599390 76067 http://cds.cern.ch/record/2708708/files/survey_gen_q6.png 00014 Results of question 6 of the general information section of the ECR survey. 1599391 97663 http://cds.cern.ch/record/2708708/files/survey_gen_q7.png 00015 Results of question 7 of the general information section of the ECR survey. 1599392 62678 http://cds.cern.ch/record/2708708/files/survey_ecfa_q14.png 00031 Results of question 14 for the European Strategy Update section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599393 57696 http://cds.cern.ch/record/2708708/files/survey_ecfa_q15.png 00032 Results of question 15 for the European Strategy Update section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599394 54375 http://cds.cern.ch/record/2708708/files/survey_ecfa_q12.png 00029 Results of question 12 for the European Strategy Update section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599395 50489 http://cds.cern.ch/record/2708708/files/survey_ecfa_q13.png 00030 Results of question 13 for the European Strategy Update section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599396 31500 http://cds.cern.ch/record/2708708/files/survey_ecfa_q10.png 00027 Results of question 10 for the European Strategy Update section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599397 36559 http://cds.cern.ch/record/2708708/files/survey_ecfa_q11.png 00028 Results of question 11 for the European Strategy Update section of the ECR survey. 1599398 11462 http://cds.cern.ch/record/2708708/files/Area_most_likely_to_further_career.png 00004 The areas of work which ECRs think are most (left) and least (right) likely to further their careers. 1599399 6694 http://cds.cern.ch/record/2708708/files/Preferred_next_generation_collider.png 00007 Left: Preferred next-generation collider. Right: Preferred future collider scenario at CERN. 1599400 95903 http://cds.cern.ch/record/2708708/files/survey_gen_q8.png 00016 Results of question 8 of the general information section of the ECR survey. 1599401 111727 http://cds.cern.ch/record/2708708/files/survey_gen_q9.png 00017 Results of question 9 of the general information section of the ECR survey. 1599402 5988 http://cds.cern.ch/record/2708708/files/Preferred_future_collider_scenario.png 00008 Left: Preferred next-generation collider. Right: Preferred future collider scenario at CERN. 1599403 45774 http://cds.cern.ch/record/2708708/files/survey_humansocial_q3.png 00035 Results of question 3 for the Human and Social Factors section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599404 60619 http://cds.cern.ch/record/2708708/files/survey_env_q9.png 00059 Results of question 9 of the environment and sustainability section of the ECR survey. 1599405 47102 http://cds.cern.ch/record/2708708/files/survey_env_q8.png 00058 Results of question 8 of the environment and sustainability section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599406 59623 http://cds.cern.ch/record/2708708/files/survey_env_q3.png 00053 Results of question 3 of the environment and sustainability section of the ECR survey. 1599407 52210 http://cds.cern.ch/record/2708708/files/survey_env_q2.png 00052 Results of question 2 of the environment and sustainability section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599408 56507 http://cds.cern.ch/record/2708708/files/survey_env_q1.png 00051 Results of question 1 of the environment and sustainability section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599409 48639 http://cds.cern.ch/record/2708708/files/survey_env_q7.png 00057 Results of question 7 of the environment and sustainability section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599410 45710 http://cds.cern.ch/record/2708708/files/survey_env_q6.png 00056 Results of question 6 of the environment and sustainability section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599411 50017 http://cds.cern.ch/record/2708708/files/survey_env_q5.png 00055 Results of question 5 of the environment and sustainability section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599412 50365 http://cds.cern.ch/record/2708708/files/survey_env_q4.png 00054 Results of question 4 of the environment and sustainability section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1599413 31725 http://cds.cern.ch/record/2708708/files/survey_ecfa_q9.png 00026 Results of question 9 for the European Strategy Update section of the ECR survey, where (1) indicates strongly disagree, (2) disagree, (3) neutral, (4) agree and (5) strongly agree. 1600811 2904737 http://cds.cern.ch/record/2708708/files/ECR_EFCA_report_submission_date (1).pdf Fulltext 1600812 2739193 http://cds.cern.ch/record/2708708/files/2002.02837.pdf Fulltext Hendrik.Jansen@cern.ch n 202006 PUBLIC 000768093CER REPORT PREPRINT 2708177 SzGeCERN 20210421201040.0 9781792916595 print version, paperback oai:cds.cern.ch:2708177 cerncds:BOOK eng O'Haver, Tom Pragmatic introduction to signal processing [S.l.] Independently published 2018 470 p paper The book can be consulted by contacting: EN-SMM-HPA: Sosin, Mateusz A practical introduction to signal processing in scientific measurement, for scientists, engineers, researchers, instructors, and students working in academia, industry, environmental, medical, engineering, earth science, space, military, financial, and agriculture. Includes such topics as smoothing, differentiation, peak detection, integration and peak area measurements, harmonic analysis, convolution and deconvolution, Fourier filtering, least-squares curve fitting, multi-component spectroscopy, nonlinear iterative least-squares peak fitting, and calibration. Provides many demonstrations and real data examples, plus download links to many free Matlab/Octave scripts and functions plus spreadsheet templates which has been widely used and have been cited in over 360 published papers, theses, and patents. SzGeCERN Engineering BOOK 202002 h 202006 21 https://catalogue.library.cern/legacy/2708177 BOOK MIGRATED 2713897 SzGeCERN 20210422083057.0 9783030371050 electronic version electronic version 9783030371043 print version 9783030371067 print version 9783030371074 print version DOI 10.1007/978-3-030-37105-0 e-proceedings oai:cds.cern.ch:2713897 cerncds:CONF eng QC801-809 23 550 20190521 38th International School of Hydraulics Lack, Poland 21 - 24 May 2019 2019 lack20190521 38 PL 20190524 Cham Springer 2020 ebook Geoplanet : Earth and planetary sciences 2190-5193 This book presents an overview of current research problems and advances in theoretical and applied aspects of environmental hydraulics. The rapid development of this branch of water studies in recent years has contributed to our fundamental understanding of processes in natural aquatic systems and helped provide solutions for civil engineering and water resources management. The book features comprehensively reviewed versions of invited lectures and regular presentations given at the 38th International School of Hydraulics, held May 21–24, 2019, in Łąck, Poland. With papers by leading international experts as well as young researchers from around the globe, it covers recent findings from laboratory and field studies, numerical modeling related to sediment and pollutant transport processes in rivers, fluvial morphodynamics, flow in vegetated channels and hydraulic structures in rivers and estuaries. Physics and astronomy SPR202003 SzGeCERN Other Fields of Physics SPR Geophysics SPR Water quality SPR Water pollution SPR Geotechnical engineering SPR Hydrology SPR Engineering geology SPR Engineering—Geology SPR Foundations SPR Hydraulics SPR Geophysics and Environmental Physics SPR GeophysicsGeodesy SPR Water QualityWater Pollution SPR Geotechnical Engineering & Applied Earth Sciences SPR HydrologyWater Resources SPR Geoengineering, Foundations, Hydraulics CONFERENCE PROCEEDINGS Kalinowska, Monika ed. Mrokowska, Magdalena ed. Rowiński, Paweł ed. Recent Trends in Environmental Hydraulics 202003 SPR n 202010 42 PUBLIC https://catalogue.library.cern/legacy/2713897 PROCEEDINGS MIGRATED 2713893 SzGeCERN 20210422083100.0 9783030375584 electronic version electronic version 9783030375577 print version 9783030375591 print version 9783030375607 print version DOI 10.1007/978-3-030-37558-4 e-proceedings oai:cds.cern.ch:2713893 cerncds:CONF eng TK7867-7867.5 23 621.3815 20190211 20th AISEM National Conference on Sensors and Microsystems Naples, Italy 11 - 13 Feb 2019 2019 naples20190211 20 IT 20190213 Cham Springer 2020 ebook Lecture notes in electrical engineering 629 1876-1100 This book showcases the state of the art in the field of sensors and microsystems, revealing the impressive potential of novel methodologies and technologies. It covers a broad range of aspects, including: bio-, physical and chemical sensors; actuators; micro- and nano-structured materials; mechanisms of interaction and signal transduction; polymers and biomaterials; sensor electronics and instrumentation; analytical microsystems, recognition systems and signal analysis; and sensor networks, as well as manufacturing technologies, environmental, food and biomedical applications. The book gathers a selection of papers presented at the 20th AISEM National Conference on Sensors and Microsystems, held in Naples, Italy in February 2019, the event brought together researchers, end users, technology teams and policy makers. Physics and astronomy SPR202003 SzGeCERN Engineering SPR Electronic circuits SPR Electronics SPR Microelectronics SPR Biomaterials SPR Environmental monitoring SPR Computer engineering SPR Internet of things SPR Embedded computer systems SPR Electronic Circuits and Devices SPR Electronics and Microelectronics, Instrumentation SPR MonitoringEnvironmental Analysis SPR Cyber-physical systems, IoT CONFERENCE PROCEEDINGS Francia, G ed. Natale, C ed. Alfano, B ed. Vito, S ed. Esposito, E ed. Fattoruso, G ed. Formisano, F ed. Massera, E ed. Miglietta, M ed. Polichetti, T ed. 202003 SPR n 202010 42 PUBLIC https://catalogue.library.cern/legacy/2713893 PROCEEDINGS MIGRATED 2713761 SzGeCERN 20210421200920.0 9783319532493 electronic version electronic version 9783319532486 print version oai:cds.cern.ch:2713761 cerncds:BOOK EBL 4828426 eng QC71.82-73.8 621.042 Pustisek, Andrej Natural gas Cham Springer 2017 250 p ebook Intro -- Contents -- About the Authors -- List of Figures -- List of Tables -- 1 Prologue -- 2 Introduction -- 2.1 Concept -- 2.2 Historic Outline -- 2.2.1 North America -- 2.2.2 Europe -- 2.2.3 Russia -- 2.2.4 Japan -- 2.2.5 South-East Africa -- 2.2.6 Global LNG -- 2.3 Preliminary Overview-Development from Scratch -- References -- 3 Market Data -- 3.1 Primary Energy Consumption -- 3.2 Reserves -- 3.3 Production -- 3.4 Consumption -- 3.5 Trade and Prices -- 3.6 Physical Capacities -- 3.6.1 Transportation -- 3.6.2 Underground Storages -- 3.6.3 LNG -- 3.6.3.1 Liquefaction Plants -- 3.6.3.2 LNG Tanker -- 3.6.3.3 Regasification Plants -- References -- 4 Non-economic and Non-commercial Fundamentals -- 4.1 Technical Properties -- 4.1.1 Reference Conditions -- 4.1.2 (Chemical) Composition -- 4.1.3 Physical Properties -- 4.1.3.1 Combustion Properties -- 4.1.3.1.1 Calorific Value -- 4.1.3.1.2 Wobbe Index -- 4.1.3.2 Other Properties -- 4.1.4 Specifications and Interchangeability of Natural Gases -- 4.1.4.1 Specifications -- 4.1.4.2 Gas Quality Management -- 4.1.5 Environmental Effects -- 4.1.5.1 Climate Effects -- 4.1.5.2 Air Pollution -- 4.1.5.3 Water Use and Pollution -- 4.1.5.4 Land Use and Sea-Floor Use -- 4.1.5.5 Radioactivity -- 4.1.5.6 Earthquakes -- 4.2 Sources -- 4.2.1 Natural Sources -- 4.2.1.1 Formation -- 4.2.1.2 Migration -- 4.2.1.3 Conventional Natural Gas Reservoirs -- 4.2.1.4 Unconventional Sources of Natural Gas -- 4.2.1.4.1 Tight Gas Sands -- 4.2.1.4.2 Shale Gas -- 4.2.1.4.3 Coal-Bed Methane -- 4.2.2 Excursus: Upstream-Exploration and Production -- 4.2.2.1 Exploration -- 4.2.2.2 Production -- 4.2.2.3 Upstream Contracts -- 4.2.3 Anthropogenic Production of 'Natural' Gas -- 4.2.3.1 Biogas -- 4.2.3.2 Coal Gas -- 4.3 Usages -- 4.3.1 Residential and Commercial -- 4.3.2 Industrial -- 4.3.2.1 Process Heat -- 4.3.2.2 Feedstock. 4.3.3 Electricity Generation -- 4.3.4 Transportation -- 4.3.5 Others -- References -- 5 Economic and Commercial Fundamentals -- 5.1 Product -- 5.1.1 Natural Gas-Commodity and Capacity -- 5.1.2 Competing Fuels and Interdependencies -- 5.2 Value Chain -- 5.3 Regulation -- 5.4 Security of Supply -- 5.5 Market Models -- 5.5.1 Traditional -- 5.5.2 Transitional -- 5.5.3 Competitive-'Modern' Markets -- 5.5.3.1 Hubs -- 5.5.3.2 OTC Versus Exchanges -- 5.5.4 Excursus: Trading Instruments -- 5.5.4.1 Forwards and Futures -- 5.5.4.2 Swaps -- 5.5.4.2.1 Financial Swaps -- 5.5.4.2.2 Inter-commodity Swaps -- 5.5.4.2.3 Physical Swaps -- 5.5.4.2.3.1 In Time -- Sec53 -- 5.5.4.3 Options -- 5.5.4.3.1 Plain-Vanilla Options -- Exotic Options -- 5.5.4.3.2.1 Path-Dependent Options -- 5.5.4.3.2.2 Spread Options -- 5.5.4.3.2.3 Embedded Options -- References -- 6 Sales Along the Value Chain -- 6.1 Players -- 6.2 Supply and Demand -- 6.2.1 Demand -- 6.2.2 Supply -- 6.3 Contracts -- 6.3.1 Quantities and Flexibilities -- 6.3.1.1 Elements and Definitions -- 6.3.1.1.1 Basic Terms of Pipeline Deliveries -- 6.3.1.1.2 Interpretation and Consequences -- 6.3.1.1.3 Make-Up and Carry-Forward -- 6.3.1.1.4 Flexibility -- 6.3.1.2 Typical Implementation in Contracts -- 6.3.1.2.1 Standard Contracts for Deliveries at Hubs -- 6.3.1.2.2 GSAs -- 6.3.1.2.3 LNG SPAs -- 6.3.2 Price -- 6.3.2.1 General Remarks on Pricing -- 6.3.2.2 Indexed Pricing -- 6.3.2.2.1 Typical Variables and Indices Chosen -- 6.3.2.2.2 Principles for the Determination of the Price Formula -- 6.3.2.2.2.1 Indifference Principle -- 6.3.2.2.2.2 Landscape/Benchmarking Principle -- 6.3.2.2.3 Price Formulae -- 6.3.2.2.3.1 Additive Formula -- 6.3.2.2.3.2 Multiplicative Formula -- 6.3.2.3 Gas-on-Gas Pricing -- 6.3.2.4 Pricing Alterations -- 6.3.2.4.1 Alterations Conditional upon Parties' Actions. 6.3.2.4.2 Alterations not Conditional upon Parties' Actions -- 6.3.2.5 Regulated Pricing -- 6.3.2.6 Capacity Price -- 6.3.2.7 Price Review -- 6.3.2.7.1 Commercial Discussions -- 6.3.2.7.2 Price Review Clauses -- 6.3.2.8 Implementation -- 6.3.3 Hardship -- 6.3.4 Term -- 6.3.5 Delivery Point -- 6.3.6 Quality -- 6.3.7 Nominations -- 6.3.8 Other Commercially Relevant (Contractual) Elements of Commodity Deliveries -- 6.3.9 Standard Contracts -- 6.3.10 Categorization of Deliveries and Contracts -- 6.3.10.1 Source: Depletion and Supply-Type Contracts -- 6.3.10.2 Term: Long-Term and &!blank -- Short-Term Contracts -- 6.3.10.3 Segment: Import, Utility and &!blank -- End User Contracts -- 6.3.10.4 Commitment: Interruptible and Firm Contracts -- 6.3.10.5 Physical State: LNG and Pipeline-Commodity Contracts -- References -- 7 Transportation -- 7.1 General -- 7.2 Outline of Physical Transportation and Assets -- 7.2.1 Pipeline -- 7.2.2 LNG -- 7.2.2.1 Liquefaction Plants -- 7.2.2.2 Transportation of LNG -- 7.2.2.3 Regasification Plants -- 7.3 Costs -- 7.3.1 Pipeline -- 7.3.1.1 Capital Costs -- 7.3.1.2 Operating Costs -- 7.3.2 LNG -- 7.4 Players -- 7.5 Pipeline-Capacity Reservation Systems and Pricing Systems -- 7.5.1 Capacity Reservation -- 7.5.2 Pricing -- 7.5.2.1 Price Level -- 7.5.2.2 Pricing Structures -- 7.5.2.2.1ƒDistance Related -- 7.5.2.2.2ƒEntry-Exit -- 7.5.2.2.3ƒPostage Stamp -- 7.5.2.2.4ƒComparison of Pricing Structures -- 7.6 Contracts -- 7.6.1 Pipeline Contracts -- 7.6.1.1 Products -- 7.6.1.2 Pricing -- 7.6.1.3 Main Tasks, Obligations and Rights of the Parties to a Transportation Contract -- 7.6.1.4 Other Commercially Relevant Elements of Transportation Contracts -- 7.6.2 LNG Transportation Contracts -- 7.6.3 Standard Contracts -- 7.6.4 Categorization of Natural Gas Transportation Contracts. 7.6.4.1 Region: International, National, and Local Contracts -- 7.6.4.2 Commitment: Interruptible and Firm Contracts -- 7.6.4.2.1ƒFirm Transportation Contracts -- 7.6.4.2.2ƒInterruptible Transportation Contracts -- References -- 8 Storage -- 8.1 General -- 8.2 Functions -- 8.2.1 Balancing of Demand Fluctuations -- 8.2.2 Provision of Security of Supply -- 8.2.3 Optimization -- 8.3 Outline of Physical Storage and Assets -- 8.3.1 Types of Storages -- 8.3.1.1 Pore Storage -- 8.3.1.1.1ƒDepleted Reservoirs -- 8.3.1.1.2ƒAquifers -- 8.3.1.2 Salt Caverns -- 8.3.1.3 Rock Caverns -- 8.3.1.4 LNG -- 8.3.1.5 Line Pack -- 8.3.2 Surface Facilities -- 8.4 Storage Parameters -- 8.5 Players -- 8.6 Contracts -- 8.6.1 Products -- 8.6.2 Pricing -- 8.6.3 Other Contractual Elements -- 8.6.4 Standard Contracts -- 8.6.5 Categorization -- 8.6.5.1 Basis: Physical and Virtual Storage Contracts -- 8.6.5.2 Bundling: Bundled or Unbundled Services -- 8.6.5.3 Commitment: Firm or Interruptible Contracts -- 8.6.5.4 Services: Storage or Combined Storage and Transportation Services -- References -- 9 Portfolio Management -- 9.1 Historical Development -- 9.2 Portfolio Optimization and Management-Traded Markets -- References -- 10 Epilogue -- Appendix AAdditional Recommended Literature -- Appendix BUnits and Prefixes -- Appendix CSymbols and Abbreviations -- Appendix DGlossary -- Appendix EFlexibility Definition -- Appendix FEquivalence of Additive and MultiplicativeFormulae -- Index. EBL202003 Engineering SzGeCERN BOOK Karasz, Michael https://cds.cern.ch/auth.py?r=EBLIB_P_4828426 ebook n 202011 202003 21 PUBLIC https://catalogue.library.cern/legacy/2713761 BOOK MIGRATED 2713750 SzGeCERN 20200501234725.0 9781135047030 electronic version electronic version EBL 1975225 eng HD60 -- .P555 2015eb 658.408 Pillay, Renginee The changing nature of corporate social responsibility CSR and development, the case of Mauritius London Routledge 2015 295 p Routledge research in corporate law Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Acknowledgements -- List of acronyms and abbreviations -- Introduction -- I.I The prehistory of CSR -- I.II The idea of business as service -- I.III Social responsibilities of businessmen: embryonic CSR versus philanthropy -- II.I The rise of the corporate economy and the social responsibilities of business -- II.II The rise of transformative CSR -- II.II.I Berle-Dodd debate and Berle and Means -- II.III Transformative CSR -- II.III.I The socially responsible corporation and the capitalist revolution -- III.I The decline of transformative CSR -- III.II The rise of ameliorative CSR -- IV.I Contemporary CSR -- IV.I.I The potential of ameliorative CSR -- V.I Organisation of the book -- Part I CSR and models of the corporation -- 1 CSR and the shareholder-oriented corporation -- 1.1 Introduction -- 1.2 Justifications for shareholder primacy -- 1.2.1 Ownership: rights-based justifications for shareholder primacy -- 1.2.2 Efficiency: instrumental and consequentialist justifications for shareholder primacy -- 1.2.2.1 'The invisible hand' -- 1.2.2.2 The displacement of the market: 'the visible hand' -- 1.2.2.3 The reassertion of market controls over the corporation: 'the market for corporate control' -- 1.2.2.4 Contractual theories of the corporation -- 1.3 The rise of shareholder value -- 1.3.1 Shareholder value in the UK -- 1.3.2 'The end of corporate history' -- 1.3.3 Shareholder value and the financial crisis -- 1.4 CSR and the shareholder value corporation -- 1.5 Concluding remarks -- 2 CSR and stakeholder models of the corporation -- 2.1 Introduction -- 2.2 The challenge to shareholder 'ownership' -- 2.2.1 The changing nature of shareholding: are shareholders owners? -- 2.2.2 Private enterprise or social institution? The corporation and the Berle-Dodd debate. 2.2.3 Berle and Means -- 2.2.4 Models of the corporation: shareholder primacy versus the socially responsible corporation -- 2.2.4.1 The socially responsible corporation and managerialism -- 2.3 Stakeholder models of the corporation -- 2.3.1 The 'fiduciary' model of the stakeholder company -- 2.3.2 The 'representative' model of the stakeholder company -- 2.3.3 Stakeholding under pressure: the reassertion of shareholder value -- 2.4 The 'enlightened shareholder value' model of the corporation -- 2.4.1 'Efficient' stakeholding: the origins of long-term shareholder value -- 2.4.2 'The third way': the enlightened shareholder value model of the corporation -- 2.4.2.1 Enlightened shareholder value versus pluralism -- 2.5 Stakeholding and CSR -- 2.6 Concluding remarks -- Part II Contemporary CSR -- 3 Contemporary CSR -- 3.1 Introduction -- 3.2 The rise of contemporary CSR -- 3.2.1 From state regulation to self-regulation -- 3.2.2 Corporate environmentalism -- 3.3 The nature of contemporary CSR -- 3.3.1 The ascendancy of voluntarism -- 3.3.2 The emergence of the idea of 'partnership' -- 3.3.2.1 The political dimension -- 3.3.2.2 'Green' partnerships -- 3.3.2.3 Contemporary CSR: from conflict to partnership -- 3.3.3 The facets of contemporary CSR -- 3.4 The corporate embrace of contemporary self-regulatory CSR -- 3.4.1 Corporate branding and reputation -- 3.4.1.1 The power of PR -- 3.4.1.2 'Enlightened self-interest' -- 3.4.2 Avoiding government interference and the emergence of 'soft law' -- 3.5 Models of CSR -- 3.5.1 Contemporary CSR models: external regulation versus voluntary corporate self-regulation -- 3.6 Concluding remarks -- 4 Perspectives on CSR -- 4.1 Introduction -- 4.2 Critics of corporate social responsibility -- 4.2.1 The social responsibility of business is to increase its profits -- 4.2.2 Critics of contemporary CSR -- 4.3 Proponents of CSR. 4.3.1 The business case for CSR -- 4.3.1.1 Enlightened shareholder value: the convergence of CSR and stakeholding -- 4.4 Reradicalising CSR: the corporate accountability movement -- 4.4.1 From corporate responsibility to corporate accountability: the critique of CSR -- 4.4.2 The corporate accountability movement -- 4.4.2.1 'Hardening' voluntary CSR initiatives -- 4.4.2.2 Challenging neoliberalism: mandatory state regulation -- 4.5 Concluding remarks -- Part III CSR and development -- 5 CSR and sustainable development -- 5.1 Introduction -- 5.2 Ameliorative CSR and neoliberal globalisation -- 5.2.1 Neoliberal globalisation and governance -- 5.2.1.1 Corporate governance -- 5.2.1.2 Investor rights and the new constitutionalism -- 5.3 CSR, corporate accountability and sustainable development -- 5.3.1 Development revisited -- 5.4 CSR in context: development, law and social policy -- 5.5 Concluding remarks -- 6 The neoliberal route to development: CSR in Mauritius -- 6.1 Introduction -- 6.2 Mauritius: overview -- 6.2.1 History -- 6.2.2 Socio-economic conditions -- 6.2.3 New challenges -- 6.2.3.1 The social dimension -- 6.2.3.2 Economic dimension -- 6.3 Mauritian corporate governance framework -- 6.3.1 Mauritian legal system -- 6.3.2 Corporate governance -- 6.3.2.1 The 2002 ROSC recommendations -- 6.3.2.2 The Mauritian Code of Corporate Governance -- 6.3.2.3 Compliance with the code -- 6.3.2.4 The 2010 ROSC recommendations -- 6.3.2.5 Reforms -- 6.4 The CSR landscape in Mauritius -- 6.4.1 Regulatory CSR -- 6.4.2 Self-regulatory CSR -- 6.4.3 Convergence of regulatory and self-regulatory CSR -- 6.4.4 The Deloitte report -- 6.4.5 Linking regulatory CSR and development: a hybrid regulatory model of CSR -- 6.5 Concluding remarks -- 7 CSR and development in Mauritius: legislating corporate philanthropy -- 7.1 Introduction. 7.2 Aims and objectives of the empirical studies -- 7.3 Pre-CSR legislation findings and discussion -- 7.3.1 The rhetorical commitment to CSR -- 7.3.2 Managerial understandings of CSR -- 7.3.2.1 Minimalist conceptions of CSR -- 7.3.2.2 'Doing more': positive conceptions of CSR -- 7.3.3 Managerial understandings of CSR in practice -- 7.3.3.1 Philanthropy -- 7.3.3.2 Philanthropy plus -- 7.3.3.3 Internal philanthropy/CSR: employee welfare -- 7.3.4 Discussion -- 7.4 CSR legislation -- 7.4.1 The Mauritian Income Tax Act -- 7.4.2 CSR guidelines -- 7.5 Post-CSR legislation findings and discussion -- 7.5.1 The CSR landscape in Mauritius post-CSR legislation -- 7.5.2 Understandings of CSR -- 7.5.3 Perspectives on the CSR legislation -- 7.5.4 Engagement with the legislation -- 7.5.5 Nature of the CSR programmes -- 7.5.6 Main issues with the implementation of the CSR legislation -- 7.5.6.1 Bureaucracy and transparency -- 7.5.6.2 Training of NGOs -- 7.5.6.3 Sustainability of projects -- 7.5.6.4 Monitoring, evaluation and impact assessment -- 7.5.7 Future perspective: does CSR have a role to play in development? -- 7.6 Concluding remarks -- Conclusion -- Appendices -- Index. Corporate Social Responsibility (CSR) has increasingly been promoted as an important mechanism for furthering economic and social development goals in developing countries. In such an optimistic climate, questions arise as to whether CSR can bear the weight of the increasing expectations being heaped on its shoulders. This book examines the changing nature of corporate social responsibility as it has been conceived over the past eighty years. It considers the historical and socio-legal developments of the idea of CSR and the various conceptions of the corporation which underlie different realisations of CSR. The book explores the model of CSR deployed in the developing world as well as the links between CSR and development. Renginee Pillay uses Mauritius as a case-study, demonstrating how CSR and corporate governance issues have come to the fore of political, financial and legal landscapes. Drawing on empirical research, the book examines how the first legislation of its kind has been implemented in Mauritius, and analyses its impact on development. In its work to evaluate the contribution CSR can make to development, this book will be of great use and interest to students and researchers of business and company law, business ethics, and development studies. 9780415835473 print version oai:cds.cern.ch:2713750 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1975225 ebook ebook EBL202003 Information Transfer and Management SzGeCERN BOOK n 202011 202003 21 PUBLIC BOOK DELETED 2712844 SzGeCERN 20201214144614.0 DOI Elsevier 10.1016/j.nima.2019.04.089 oai:inspirehep.net:1782796 cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1782796 2020-03-12T20:07:56Z 2020-03-13T06:48:23Z marcxml Inspire 1782796 eng Guida, R INSPIRE-00320474 CERN Elsevier R&D; strategies for optimizing greenhouse gases usage in the LHC particle detection systems Elsevier 2020 4 p Elsevier A wide range of gas mixtures is used for the operation of different gaseous detectors for particle physics research. Among them are greenhouse gases like C$_2$H$_2$F$_4$ (R134a), CF$_4$ (R14), C$_4$F$_{10}$ (R610) and SF$_6$ , which are used because they allow to achieve specific detector performance that are necessary for data taking at the LHC experiments (i.e. stability, long term performance, time resolution, rate capability, etc.). Such gases are currently subject to a phase down policy that started to affect the market with price increase and, in the long term, may cause a decrease in their availability. Four different strategies have been identified to optimize the gas usage. As immediate actions, during the LHC Long Shutdown 2 the gas systems will be upgraded to cope with new detector requirements and, in parallel, extensive campaigns for fixing leaks at detector level will be performed. The development of gas recuperation plants is going to be the next step. They aim in extracting greenhouse gases from the exhaust of gas recirculation systems allowing further re-use. Several plants of this type are already in use. Recent developments are concerning a system for R134a recuperation. Encouraging results have been obtained with a prototype and, giving the fact that R134a dominates the greenhouse gas consumption, this plant might have an important positive effect on the overall optimization process. For future long-term detector operation, R&D; studies are ongoing for finding green alternatives to the currently used gases (especially for R134a). Unfortunately, the new alternative gases developed by industry as refrigerant fluids are not behaving as the R134a in particle detectors which makes difficult the replacement for the present experiments. The last strategy consists in the possibility of using industrially developed plants for the disposal of greenhouse gases by decomposition in harmless compounds. This solution avoids the emission in the atmosphere, but it is not optimizing the gas usage and problems like gas availability and price for detector operation might become the challenge in the coming years due to the greenhouse phase down policy. Publication Elsevier B.V. 2019 SzGeCERN Detectors and Experimental Techniques author Gaseous detectors author Gas systems author Gas recuperation author Greenhouse gas author Environmentally friendly gas author Greenhouse gas disposal CERN CERN LHC Mandelli, B CERN 1782753 162135 Nucl. Instrum. Methods Phys. Res., A 958 C19-02-18 2020 13 2655927 162135 vienna20190218 ARTICLE ConferencePaper 1 Regulation (EU) No 517/2014 of the European Parliament and of the Council on fluorinated greenhouse gases and repealing Regulation (EC) No. 842/2006 2014 0 doi:10.1007/978-981-13-1313-4˙19 Guida, R. Capeans, M. Mandelli, B. 2 Gas Systems for Particle Detectors at the LHC Experiments: Overview and Perspectives 2018 0 Mandelli, B. Guida, R. Gagliardi, M. Marchisone, M. in: XIV Workshop on Resistive Plate Chambers and Related Detectors, RPC, Puerto Vallarta, Jalisco State, Mexico 3 Gas mixture quality monitoring for the RPC detectors at the LHC experiments 2018 0 1498862 doi:10.1109/NSSMIC.2015.7581800 Guida, R. Capeans, M. Mandelli, B. Strategies for reducing the environmental impact of gaseous detector operation at the CERN-LHC experiments, in: Nuclear Science Symposium and Medical Imaging Conference, San Diego, CA, USA 4 IEEE 2015 0 1513557 doi:10.1016/j.nima.2016.04.067 Guida, R. Capeans, M. Mandelli, B. 5 Nucl.Instrum.Meth.,A845,253 Strategies for reducing the environmental impact of gaseous detector operation at the CERN LHC experiments 2017 0 1324615 doi:10.1109/NSSMIC.2012.6551286 Guida, R. Capeans, M. Hahn, F. Haider, S. Mandelli, B. Results from the first operational period of the CF 4 recuperation plant for the cathode strip chambers detector at the CERN compact muon solenoid experiment, in: Nuclear Science Symposium and Medical Imaging Conference, Anaheim, CA, USA 6 IEEE 2012 0 1469175 doi:10.1088/1748-0221/11/06/C06001 Paoloni, A. RPC2016 Workshop Conference Proceeding, http://dx.doi.org/10.1088/1748-0221/11/06/C06001 / JINST 7 Gas mixture studies for streamer operated resistive plate chambers 2016 0 1487799 doi:10.1088/1748-0221/11/09/C09012 Liberti, B. RPC2016 Workshop Conference Proceeding, http://dx.doi.org/10.1088/1748-0221/11/09/C09012 / JINST 8 Further gas mixtures with low environment impact 2016 0 1478943 doi:10.1088/1748-0221/11/07/C07016 Guida, R. Mandelli, B. RPC2016 Workshop Conference Proceeding, http://dx.doi.org/10.1088/1748-0221/11/07/C07016 / JINST 9 Characterization of RPC operation with new enviromental friendly mixtures for LHC application and beyond 2016 0 Guida, R. Mandelli, B. Development of new gas recirculation and recuperation systems for resistive plate chamber operation with new environmental friendly gases, in: RPCWorkshop Conference Proceeding 10 2018 0 1782846 doi:10.1016/j.nima.2019.04.027 Guida, R. Mandelli, B. Rigoletti, G. Nucl.Instrum.Meth.,A 11 Performance studies of RPC detectors with new environmentally friendly gas mixtures in presence of LHC-like radiation background 2019 0 2712610 SzGeCERN 20200310212646.0 DOI JACoW 10.18429/JACoW-SRF2019-THP078 oai:inspirehep.net:1780554 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1780554 2020-03-10T08:00:07Z 2020-03-10T08:00:54Z marcxml Inspire 1780554 eng Stapley, Niall JACoW-00030680 niall.stapley@cern.ch CERN JACoW CERN’s SRF Test Stand for Cavity Performance Measurements 2019 5 p JACoW Recent deployment of a digital LLRF system within the cavity testing framework of CERN’s vertical test cryostats has permitted a full revamp of cavity performance validation. With both full continuous and pulse mode operation, steady state a transient RF behaviour can be effectively probed. Due to direct and integrated control and monitoring of environmental test conditions, standard and novel RF measurement procedures have been developed and integrated into the testing infrastructure, along with a coherent data flow of high granularity measurement data. We present an overview of this cavity measurement system and address the underlying architectural structure, data handling and integration of user interfaces. In addition we highlight the benefits of variety of RF cavity measurements that can now be accommodated in our large 2 K cryostats. CC-BY-3.0 JACoW http://creativecommons.org/licenses/by/3.0/ Publication Any distribution of this work must maintain attribution to the author(s), title of the work, publisher, and DOI. 2019 SzGeCERN Accelerators and Storage Rings JACoW cavity JACoW controls JACoW LLRF JACoW operation JACoW interface CERN Bastard, Jeremy JACoW-00120468 jeremy.bastard@cern.ch CERN Ben-Zvi, Ilan JACoW-00002135 ilan@bnl.gov Brookhaven Natl. Lab. Castilla, Alejandro JACoW-00050820 a.castilla@cern.ch Lancaster U. Coly, Marcel JACoW-00108568 marcel.roger.coly@cern.ch CERN Hernandez-Chahin, K JACoW-00067552 hernandez-chahin@odu.edu Guanajuato U. Ivanov, Anton JACoW-00116772 anton.ivanov@cern.ch CERN Macpherson, Alick INSPIRE-00103609 JACoW-00004784 Alick.Macpherson@cern.ch CERN Shipman, Nicholas JACoW-00054894 nicholas.shipman@cern.ch CERN Turaj, Katarzyna JACoW-00094998 katarzyna.turaj@cern.ch CERN Wartak, Marcin JACoW-00099364 marcin.wartak@desy.de Cracow, INP Zwozniak, Agnieszka JACoW-00066851 agnieszka.zwozniak@ifj.edu.pl Cracow, INP 1084-1088 SRF2019 C19-06-30.1 2019 1603656 1462142 http://cds.cern.ch/record/2712610/files/10.18429_JACoW-SRF2019-THP078.pdf Fulltext 13 2710755 1084-1088 dresden20190630 ARTICLE ConferencePaper refextract A. Ivanov, A. Macpherson and F, Gerigk presented at the SRFDresden, Germany, July, paper THP094, this conference 1 Direct measurement of Thermoelectric currents during cooldown 2019 refextract D. Valuch and M.Elias HIE-ISOLDE Workshop: The Technical Aspects, November 2103 CERN 2 RF system for the HIE-ISOLDE https://indico.cern.ch/event/255042/ refextract I. Ben-Zvi May 3 CERN-ACC-NOTE-20180039 SRF Cavity Testing with a Self-Excited Loop 2018 refextract R. Apsimon, G. Burt, A. Dexter, N. Shipman, A. Castilla, A. Macpherson, K. Ness Sjobak, A. Santamaria Garcia, N. Stapley, A. Alekou, and R. B. Appleby Phys. Rev. Accel. Beams 22, 061001, June 4 Prediction of beam losses during crab cavity quenches at the high luminosity LHC 2019 refextract R. Gorbonosov Training Lecture Regular Programme, Oct 5 The Control Systems of the Large Hadron Collider https://indico.cern.ch/event/273998/ 2013 refextract HDF5 6 https://portal.hdfgroup.org/display/support refextract doi:10.18429/JACoW-ICALEPCS2017-TUPHA184 V. Costa and B. Lefort in Proc.16th Int. Conf. on Accelerator and Large Experimental Control Systems (ICALEPCS'17), Barcelona, Spain, Oct., pp. 861-865 7 Inspector, a Zero Code IDE for Control Systems User Interface Development 2017 refextract G. Apollinari, I. Béjar Alonso, O. Brüning, P. Fessia, M. Lamont, L. Rossi, L. Tavian April -M (CERN Yellow Reports: Monographs, 4/ 8 CERN-2017-007 High-Luminosity Large Hadron Collider (HL-LHC) Technical Design Report V0.1 2017 refextract R. Apsimon (Lancaster University) private communication 9 Cavity Simulator models refextract Red Pitaya 10 https://www.redpitaya.com [10] Red Pitaya, https://www.redpitaya.com refextract doi:10.18429/JACoW-ICALEPCS2015-WEPGF062 M. Ojeda Sandonís et al. in Proc. 15th Int. Conf. on Accelerator and Large Experimental Control Systems (ICALEPCS'15), Melbourne, Australia, Oct., pp.841-844 SRF Technology - Ancillaries LLRF 11 Processing High-Bandwidth Bunch-by-Bunch Observation Data from the RF and Transverse Damper Systems of the LHC 2015 2712607 SzGeCERN 20200310212645.0 DOI JACoW 10.18429/JACoW-SRF2019-MOP102 oai:inspirehep.net:1780409 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1780409 2020-03-09T17:15:23Z 2020-03-10T08:00:54Z marcxml Inspire 1780409 eng Cheban, Sergey JACoW-00048168 scheban@fnal.gov Fermilab JACoW Alignment Monitoring System for the PIP-II Prototype SSR1 Cryomodule 2019 3 p JACoW For the first prototype PIP-II SSR1 cryomodule, an alignment monitor system based on HBCAM will be used. The main focus will be changes in alignment due to shipping and handling or during cool down and operation process. The SSR1 cryomodule contains eight 325 MHz superconducting single spoke cavities and four solenoid’based focusing lenses, and an alignment error better than 0.5 mm RMS for the transverse solenoid, based on function requirement specification. The alignment monitor system has been configured to the objectives of SSR1 cryomodule: low space for integration; presence of magnetic fields; exposure to non-standard environmental conditions such as high vacuum and cryogenic temperatures. The mechanical design and first results of system performance will be presented. CC-BY-3.0 JACoW http://creativecommons.org/licenses/by/3.0/ Publication Any distribution of this work must maintain attribution to the author(s), title of the work, publisher, and DOI. 2019 SzGeCERN Accelerators and Storage Rings JACoW target JACoW alignment JACoW cryomodule JACoW solenoid JACoW survey CERN Kautzmann, Guillaume JACoW-00074650 guillaume.kautzmann@cern.ch CERN Passarelli, Donato INSPIRE-00555441 JACoW-00053741 ORCID:0000-0003-0191-5002 Fermilab Zorzetti, Silvia INSPIRE-00427158 JACoW-00100688 zorzetti@fnal.gov Fermilab 332-334 SRF2019 C19-06-30.1 2019 1603653 1856057 http://cds.cern.ch/record/2712607/files/10.18429_JACoW-SRF2019-MOP102.pdf Fulltext 13 2710755 332-334 dresden20190630 ARTICLE ConferencePaper refextract PIP-II Conceptual Design Report 1 https://pxie.fnal.gov/PIP-II_CDR/default.htm [1] PIP-II Conceptual Design Report https://pxie.fnal.gov/PIP-II_CDR/default.htm refextract OSI 2 http://www.opensourceinstruments.com/HBCAM/ [2] OSI http://www.opensourceinstruments.com/HBCAM/ refextract Gayde, J. C., et al. eConf (1) 1209102 : 25 3 CERN-ATS-2012-269 HIE ISOLDE Alignment and monitoring system technical design and project status [3] Gayde, J. C., et al., “HIE ISOLDE Alignment and monitoring system technical design and project status”, eConf (1) 1209102.CERN-ATS-2012-269 (2012): 25. 2012 refextract HBCAM Prospectus SRF Technology - Cryomodule cryomodule design 4 http://alignment.hep.brandeis.edu/Devices/BCAM/Prospectus.pdf [4] HBCAM Prospectus http://alignment.hep.brandeis.edu/Devices/BCAM/Prospectus.pdf SRF Technology - Cryomodule cryomodule design 2712385 SzGeCERN 20220817145948.0 DOI Elsevier 10.1016/j.nima.2019.04.027 oai:inspirehep.net:1782846 cerncds:CERN INSPIRE:HEP ForCDS http://inspirehep.net/oai2d oai:inspirehep.net:1782846 2020-03-06T09:17:21Z 2020-03-07T05:00:52Z marcxml Inspire 1782846 eng Guida, R CERN Elsevier Performance studies of RPC detectors with new environmentally friendly gas mixtures in presence of LHC-like radiation background Elsevier 2020 4 p Elsevier Resistive Plate Chamber (RPC) detectors are widely used at the CERN LHC experiments as muon trigger thanks to their excellent time resolution. They are operated with a Freon-based gas mixture containing C$_2$H$_2$F$_4$ and SF$_6$ , both greenhouse gases (GHG) with a very high global warming potential (GWP). The search of new environmentally friendly gas mixtures is necessary to reduce GHG emissions and costs as well as to optimize RPC performance. Several recently available gases with low GWP have been identified as possible replacements for C$_2$H$_2$F$_4$ and SF$_6$. More than 60 environmentally friendly gas mixtures have been investigated on 2 mm single-gap RPCs. The RPC detectors have been tested in laboratory conditions and at the CERN Gamma Irradiation Facility (GIF++), which provides a high energy muon beam combined with an intense gamma source allowing to simulate the background expected at HL-LHC. The performance of RPCs were studied at different gamma rates with the new environmentally friendly gases by measuring efficiency, streamer probability, rate capability, induced charge, cluster size and time resolution. To finalize the studies, the RPCs are now operated under gas recirculation with the selected new gas mixture and exposed to the intense gamma radiation of GIF++ for evaluating possible long-term aging effects, gas damage due to radiation and compatibility of LHC gas system with new gases. Publication Elsevier B.V. 2019 SzGeCERN Detectors and Experimental Techniques author Resistive Plate Chamber author Gas systems author Greenhouse gases author HFO author Environmentally friendly gas mixtures CERN CERN HL-LHC Mandelli, B INSPIRE-00356594 CERN Rigoletti, G Milan Bicocca U. 1782753 162073 Nucl. Instrum. Methods Phys. Res., A 958 C19-02-18 2020 13 2655927 162073 vienna20190218 ARTICLE ConferencePaper Santonico, R. Cardarelli, R. 1 Nucl.Instrum.Meth.,A187,377 Developments of Resistive Plate Counters 1981 0 1513557 doi:10.1016/j.nima.2016.04.067 Capeans, M. Guida, R. Mandelli, B. 2 Nucl.Instrum.Meth.,AA 845,253 Strategies for reducing the environmental impact of gaseous detector operation at the CERN LHC experiments 2017 0 Regulation (EU) No. 517/2014 of the European Parliament and of the Council on Fluorinated Greenhouse Gases and Repealing Regulation (EC) No. 842/2006 3 2014 0 Brown, J.S. 4 ASHRAE J.,51,22-29 HFOs new low global warming potential refrigerant 2009 0 1478943 doi:10.1088/1748-0221/11/07/C07016 Capeans, M. Guida, R. Mandelli, B. 5 JINST,11,C07016 Characterization of RPC operation with new environmental friendly mixtures for LHC application and beyond 2016 0 248572 doi:10.1016/0168-9002(88)90885-6 Incandela, J.R. 6 Nucl.Instrum.Meth.,A269,237 The performance of photomultipliers exposed to helium 1988 0 Guida, R. On behalf of the EN, EP and AIDA GIF++ Collaboration, GIF++: A new CERN irradiation facility to test large-area particle detectors for the high-luminosity LHC program, PoS, ICHEP, 260 7 2016 0 CMS Collaboration 8 CERN-LHCC-2017-012 CMS-TDR-016 The Phase-2 upgrade of the CMS muon detectors 2017 0 801471 doi:10.1016/j.nima.2008.06.009 Guida, R. 9 Nucl.Instrum.Meth.,A594,S140 Results about HF production and bakelite analysis for the CMS Resistive Plate Chambers 2008 0 1094413 doi:10.1016/j.nima.2010.08.077 Capeans, M. Glushkov, I. Guida, R. Hahn, F. Haider, S. 10 Nucl.Instrum.Meth.,A661,S214 Optimization of a closed-loop gas system for the operation of Resistive Plate Chambers at the Large Hadron Collider experiments 2012 0 2712226 20220630134756.0 oai:cds.cern.ch:2712226 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN 10.1007/JHEP07(2020)016 DOI bibmatch arXiv oai:arXiv.org:2003.02192 oai:inspirehep.net:1783943 https://inspirehep.net/api/oai2d Inspire 2021-11-11T12:20:26Z 2021-11-12T03:08:20Z marcxml true Inspire 1783943 arXiv arXiv:2003.02192 hep-ex arXiv:reportnumber CERN-EP-2020-029 eng Adriani, O. GRID:grid.8404.8 INFN, Florence Florence U. INFN Section of Florence, Florence, Italy University of Florence, Florence, Italy arXiv Measurement of energy flow, cross section and average inelasticity of forward neutrons generated in $\mathrm{\sqrt{s} = 13 TeV}$ proton-proton collisions with the LHCf Arm2 detector 2020-07-02 2020-03-04 22 p arXiv 22 pages, 11 figures Springer In this paper, we report the measurement of the energy flow, the cross section and the average inelasticity of forward neutrons (+ antineutrons) produced in $ \sqrt{s} $ = 13 TeV proton-proton collisions. These quantities are obtained from the inclusive differential production cross section, measured using the LHCf Arm2 detector at the CERN Large Hadron Collider. The measurements are performed in six pseudorapidity regions: three of them (η > 10.75, 8.99 < η < 9.21 and 8.80 < η < 8.99), albeit with smaller acceptance and larger uncertainties, were already published in a previous work, whereas the remaining three (10.06 < η < 10.75, 9.65 < η < 10.06 and 8.65 < η < 8.80) are presented here for the first time. The analysis was carried out using a data set acquired in June 2015 with a corresponding integrated luminosity of 0.194 nb$^{−1}$. Comparing the experimental measurements with the expectations of several hadronic interaction models used to simulate cosmic ray air showers, none of these generators resulted to have a satisfactory agreement in all the phase space selected for the analysis. The inclusive differential production cross section for η > 10.75 is not reproduced by any model, whereas the results still indicate a significant but less serious deviation at lower pseudorapidities. Depending on the pseudorapidity region, the generators showing the best overall agreement with data are either SIBYLL 2.3 or EPOS-LHC. Furthermore, apart from the most forward region, the derived energy flow and cross section distributions are best reproduced by EPOS-LHC. Finally, even if none of the models describe the elasticity distribution in a satisfactory way, the extracted average inelasticity is consistent with the QGSJET II-04 value, while most of the other generators give values that lie just outside the experimental uncertainties.[graphic not available: see fulltext] arXiv In this paper, we report the measurement of the energy flow, the cross section and the average inelasticity of forward neutrons (+ antineutrons) produced in $\sqrt{s} = 13$ TeV proton-proton collisions. These quantities are obtained from the inclusive differential production cross section, measured using the LHCf Arm2 detector at the CERN Large Hadron Collider. The measurements are performed in six pseudorapidity regions: three of them ($\eta > 10.75$, $8.99 < \eta < 9.21$ and $8.80 < \eta < 8.99$), albeit with smaller acceptance and larger uncertainties, were already published in a previous work, whereas the remaining three ($10.06 < \eta < 10.75$, $9.65 < \eta < 10.06$ and $8.65 < \eta < 8.80$) are presented here for the first time. The analysis was carried out using a data set acquired in June 2015 with a corresponding integrated luminosity of $\mathrm{0.194~nb^{-1}}$. Comparing the experimental measurements with the expectations of several hadronic interaction models used to simulate cosmic ray air showers, none of these generators resulted to have a satisfactory agreement in all the phase space selected for the analysis. The inclusive differential production cross section for $\eta > 10.75$ is not reproduced by any model, whereas the results still indicate a significant but less serious deviation at lower pseudorapidities. Depending on the pseudorapidity region, the generators showing the best overall agreement with data are either SIBYLL 2.3 or EPOS-LHC. Furthermore, apart from the most forward region, the derived energy flow and cross section distributions are best reproduced by EPOS-LHC. Finally, even if none of the models describe the elasticity distribution in a satisfactory way, the extracted average inelasticity is consistent with the QGSJET II-04 value, while most of the other generators give values that lie just outside the experimental uncertainties. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ For annual report arXiv hep-ex SzGeCERN Particle Physics - Experiment CERN ARTICLE CERN LHC LHCf Berti, E. ORCID:0000-0002-5841-7760 GRID:grid.8404.8 INFN, Florence Florence U. INFN Section of Florence, Florence, Italy University of Florence, Florence, Italy Bonechi, L. INFN, Florence INFN Section of Florence, Florence, Italy Bongi, M. GRID:grid.8404.8 INFN, Florence Florence U. INFN Section of Florence, Florence, Italy University of Florence, Florence, Italy D'Alessandro, R. INFN, Florence Florence U. INFN Section of Florence, Florence, Italy University of Florence, Florence, Italy Detti, S. INFN, Florence INFN Section of Florence, Florence, Italy Haguenauer, M. GRID:grid.10877.39 Ec. Polytech., Palaiseau (main) Ecole-Polytechnique, Palaiseau, France Itow, Y. GRID:grid.27476.30 Nagoya U., ISEE KMI, Nagoya Institute for Space-Earth Environmental Research, Nagoya~University, Nagoya, Japan Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya~University, Nagoya, Japan Kasahara, K. GRID:grid.419152.a Shibaura Inst. Tech. Faculty of System Engineering, Shibaura Institute of Technology, Tokyo, Japan Menjo, H. GRID:grid.27476.30 Nagoya U., ISEE Institute for Space-Earth Environmental Research, Nagoya~University, Nagoya, Japan Muraki, Y. GRID:grid.27476.30 Nagoya U., ISEE Institute for Space-Earth Environmental Research, Nagoya~University, Nagoya, Japan Ohashi, K. GRID:grid.27476.30 Nagoya U., ISEE Institute for Space-Earth Environmental Research, Nagoya~University, Nagoya, Japan Papini, P. INFN, Florence INFN Section of Florence, Florence, Italy Ricciarini, S. INFN, Florence IFAC, Florence INFN Section of Florence, Florence, Italy IFAC-CNR, Florence, Italy Sako, T. GRID:grid.26999.3d Tokyo U., ICRR Institute for Cosmic Ray Research, University of Tokyo, Chiba, Japan Sakurai, N. GRID:grid.267335.6 Tokushima U. Tokushima University, Tokushima, Japan Sato, K. GRID:grid.27476.30 Nagoya U., ISEE Institute for Space-Earth Environmental Research, Nagoya~University, Nagoya, Japan Tamura, T. GRID:grid.411995.1 Kanagawa U. Kanagawa University, Kanagawa, Japan Tiberio, A. GRID:grid.8404.8 INFN, Florence Florence U. INFN Section of Florence, Florence, Italy University of Florence, Florence, Italy Torii, S. GRID:grid.5290.e Waseda U., RISE RISE, Waseda University, Shinjuku, Tokyo, Japan Tricomi, A. GRID:grid.8158.4 INFN, Catania Catania U. INFN Section of Catania, Italy University of Catania, Catania, Italy Turner, W.C. GRID:grid.184769.5 LBNL, Berkeley LBNL, Berkeley, California, USA Ueno, M. GRID:grid.27476.30 Nagoya U., ISEE Institute for Space-Earth Environmental Research, Nagoya~University, Nagoya, Japan LHCf Collaboration 016 JHEP 2007 2020 2222059 53063 http://cds.cern.ch/record/2712226/files/Unfoldedspectra_model_comp_final_1.png 00002 Inclusive differential neutron production cross section for p-p collisions at $\sqrt{s} = 13$~TeV, measured using the LHCf Arm2 detector. Black markers represent the experimental data with statistical errors, whereas gray bands represent the quadratic sum of statistical and systematic uncertainties. Colored histograms refer to model predictions at the generator level. For each region, the top plot shows the energy distributions expressed as $\mathrm{d}\sigma_{\mathrm{n}}/\mathrm{d}E$ and the bottom plot the ratios of these distributions to the experimental results. 2222060 50898 http://cds.cern.ch/record/2712226/files/Unfoldedspectra_model_comp_final_0.png 00001 Inclusive differential neutron production cross section for p-p collisions at $\sqrt{s} = 13$~TeV, measured using the LHCf Arm2 detector. Black markers represent the experimental data with statistical errors, whereas gray bands represent the quadratic sum of statistical and systematic uncertainties. Colored histograms refer to model predictions at the generator level. For each region, the top plot shows the energy distributions expressed as $\mathrm{d}\sigma_{\mathrm{n}}/\mathrm{d}E$ and the bottom plot the ratios of these distributions to the experimental results. 2222061 51045 http://cds.cern.ch/record/2712226/files/Unfoldedspectra_model_comp_final_3.png 00004 Inclusive differential neutron production cross section for p-p collisions at $\sqrt{s} = 13$~TeV, measured using the LHCf Arm2 detector. Black markers represent the experimental data with statistical errors, whereas gray bands represent the quadratic sum of statistical and systematic uncertainties. Colored histograms refer to model predictions at the generator level. For each region, the top plot shows the energy distributions expressed as $\mathrm{d}\sigma_{\mathrm{n}}/\mathrm{d}E$ and the bottom plot the ratios of these distributions to the experimental results. 2222062 52071 http://cds.cern.ch/record/2712226/files/Unfoldedspectra_model_comp_final_2.png 00003 Inclusive differential neutron production cross section for p-p collisions at $\sqrt{s} = 13$~TeV, measured using the LHCf Arm2 detector. Black markers represent the experimental data with statistical errors, whereas gray bands represent the quadratic sum of statistical and systematic uncertainties. Colored histograms refer to model predictions at the generator level. For each region, the top plot shows the energy distributions expressed as $\mathrm{d}\sigma_{\mathrm{n}}/\mathrm{d}E$ and the bottom plot the ratios of these distributions to the experimental results. 2222063 54246 http://cds.cern.ch/record/2712226/files/Unfoldedspectra_model_comp_final_5.png 00006 Inclusive differential neutron production cross section for p-p collisions at $\sqrt{s} = 13$~TeV, measured using the LHCf Arm2 detector. Black markers represent the experimental data with statistical errors, whereas gray bands represent the quadratic sum of statistical and systematic uncertainties. Colored histograms refer to model predictions at the generator level. For each region, the top plot shows the energy distributions expressed as $\mathrm{d}\sigma_{\mathrm{n}}/\mathrm{d}E$ and the bottom plot the ratios of these distributions to the experimental results. 2222064 48772 http://cds.cern.ch/record/2712226/files/Unfoldedspectra_model_comp_final_4.png 00005 Inclusive differential neutron production cross section for p-p collisions at $\sqrt{s} = 13$~TeV, measured using the LHCf Arm2 detector. Black markers represent the experimental data with statistical errors, whereas gray bands represent the quadratic sum of statistical and systematic uncertainties. Colored histograms refer to model predictions at the generator level. For each region, the top plot shows the energy distributions expressed as $\mathrm{d}\sigma_{\mathrm{n}}/\mathrm{d}E$ and the bottom plot the ratios of these distributions to the experimental results. 2222065 45270 http://cds.cern.ch/record/2712226/files/Draw_corrected_cross_section.png 00008 Differential energy flow $\mathrm{d}E_{\mathrm{n}}/\mathrm{d}\eta$ (left) and differential cross section $\mathrm{d}\sigma_{\mathrm{n}}/\mathrm{d}\eta$ (right) of neutrons produced in p-p collisions at $\sqrt{s} = 13$~TeV, measured using the LHCf Arm2 detector. Black markers represent the experimental data with statistical and systematic uncertainties, whereas colored lines refer to model predictions at the generator level. 2222066 406923 http://cds.cern.ch/record/2712226/files/2003.02192.pdf Fulltext 2222067 11467 http://cds.cern.ch/record/2712226/files/Draw_corrected_inelasticity_value.png 00010 Inclusive production cross section as a function of elasticity $k_{\mathrm{n}}$ (left) and average inelasticity $\langle 1-k_{\mathrm{n}} \rangle$ extracted from that distribution (right), relative to p-p collisions at $\sqrt{s} = 13$~TeV. These quantities, measured using the LHCf Arm2 detector, are only relative to the events where the leading particle is a neutron. Black markers represent the experimental data with the quadratic sum of statistical and systematic uncertainties. Solid lines (left) and full circles (right) refer to model predictions at the generator level, obtained using only the events where the leading particle is a neutron. In order to compare this approach to the general case, $\langle 1-k \rangle$, the average inelasticity obtained using all the events independently of the nature of the leading particle, is also reported as open circles in the right figure. 2222068 46138 http://cds.cern.ch/record/2712226/files/Draw_corrected_elasticity.png 00009 Inclusive production cross section as a function of elasticity $k_{\mathrm{n}}$ (left) and average inelasticity $\langle 1-k_{\mathrm{n}} \rangle$ extracted from that distribution (right), relative to p-p collisions at $\sqrt{s} = 13$~TeV. These quantities, measured using the LHCf Arm2 detector, are only relative to the events where the leading particle is a neutron. Black markers represent the experimental data with the quadratic sum of statistical and systematic uncertainties. Solid lines (left) and full circles (right) refer to model predictions at the generator level, obtained using only the events where the leading particle is a neutron. In order to compare this approach to the general case, $\langle 1-k \rangle$, the average inelasticity obtained using all the events independently of the nature of the leading particle, is also reported as open circles in the right figure. 2222069 52242 http://cds.cern.ch/record/2712226/files/Draw_corrected_energy_flow.png 00007 Differential energy flow $\mathrm{d}E_{\mathrm{n}}/\mathrm{d}\eta$ (left) and differential cross section $\mathrm{d}\sigma_{\mathrm{n}}/\mathrm{d}\eta$ (right) of neutrons produced in p-p collisions at $\sqrt{s} = 13$~TeV, measured using the LHCf Arm2 detector. Black markers represent the experimental data with statistical and systematic uncertainties, whereas colored lines refer to model predictions at the generator level. 2222070 46673 http://cds.cern.ch/record/2712226/files/Unfoldedspectra_model_comp_same_scale_final_4.png 00005 Inclusive differential neutron production cross section for p-p collisions at $\sqrt{s} = 13$~TeV, measured using the LHCf Arm2 detector. Black markers represent the experimental data with statistical errors, whereas gray bands represent the quadratic sum of statistical and systematic uncertainties. Colored histograms refer to model predictions at the generator level. For each region, the top plot shows the energy distributions expressed as $\mathrm{d\sigma_{n}/dE}$ and the bottom plot the ratios of these distributions to the experimental results. 2222071 49767 http://cds.cern.ch/record/2712226/files/Unfoldedspectra_model_comp_same_scale_final_2.png 00003 Inclusive differential neutron production cross section for p-p collisions at $\sqrt{s} = 13$~TeV, measured using the LHCf Arm2 detector. Black markers represent the experimental data with statistical errors, whereas gray bands represent the quadratic sum of statistical and systematic uncertainties. Colored histograms refer to model predictions at the generator level. For each region, the top plot shows the energy distributions expressed as $\mathrm{d\sigma_{n}/dE}$ and the bottom plot the ratios of these distributions to the experimental results. 2222072 48985 http://cds.cern.ch/record/2712226/files/Unfoldedspectra_model_comp_same_scale_final_3.png 00004 Inclusive differential neutron production cross section for p-p collisions at $\sqrt{s} = 13$~TeV, measured using the LHCf Arm2 detector. Black markers represent the experimental data with statistical errors, whereas gray bands represent the quadratic sum of statistical and systematic uncertainties. Colored histograms refer to model predictions at the generator level. For each region, the top plot shows the energy distributions expressed as $\mathrm{d\sigma_{n}/dE}$ and the bottom plot the ratios of these distributions to the experimental results. 2222073 48638 http://cds.cern.ch/record/2712226/files/Unfoldedspectra_model_comp_same_scale_final_0.png 00001 Inclusive differential neutron production cross section for p-p collisions at $\sqrt{s} = 13$~TeV, measured using the LHCf Arm2 detector. Black markers represent the experimental data with statistical errors, whereas gray bands represent the quadratic sum of statistical and systematic uncertainties. Colored histograms refer to model predictions at the generator level. For each region, the top plot shows the energy distributions expressed as $\mathrm{d\sigma_{n}/dE}$ and the bottom plot the ratios of these distributions to the experimental results. 2222074 50852 http://cds.cern.ch/record/2712226/files/Unfoldedspectra_model_comp_same_scale_final_1.png 00002 Inclusive differential neutron production cross section for p-p collisions at $\sqrt{s} = 13$~TeV, measured using the LHCf Arm2 detector. Black markers represent the experimental data with statistical errors, whereas gray bands represent the quadratic sum of statistical and systematic uncertainties. Colored histograms refer to model predictions at the generator level. For each region, the top plot shows the energy distributions expressed as $\mathrm{d\sigma_{n}/dE}$ and the bottom plot the ratios of these distributions to the experimental results. 2222075 89572 http://cds.cern.ch/record/2712226/files/PseudorapidityRegions.png 00000 Definition of the six pseudorapidity regions used in the analysis. Bottom left and upper right squares respectively correspond to the small and the large tower of the Arm2 detector as seen from IP1. The origin of the reference frame is centered in the beam center projection on the detector plane during LHC Fill 3855. All analysis regions are chosen within a fiducial area (dashed line), which is 2~mm inside the tower edges (solid line). 2222076 52177 http://cds.cern.ch/record/2712226/files/Unfoldedspectra_model_comp_same_scale_final_5.png 00006 Inclusive differential neutron production cross section for p-p collisions at $\sqrt{s} = 13$~TeV, measured using the LHCf Arm2 detector. Black markers represent the experimental data with statistical errors, whereas gray bands represent the quadratic sum of statistical and systematic uncertainties. Colored histograms refer to model predictions at the generator level. For each region, the top plot shows the energy distributions expressed as $\mathrm{d\sigma_{n}/dE}$ and the bottom plot the ratios of these distributions to the experimental results. 2235898 594097 http://cds.cern.ch/record/2712226/files/scoap3-fulltext.pdf Article from SCOAP3 2334408 594097 http://cds.cern.ch/record/2712226/files/scoap.pdf Article from SCOAP3 13 LHCf_Papers ARTICLE 2712066 SzGeCERN 20250612051331.0 DOI Elsevier 10.1016/j.nima.2020.163637 oai:inspirehep.net:1782485 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS oai:inspirehep.net:1782485 https://inspirehep.net/api/oai2d Inspire 2025-06-11T09:36:15Z 2025-06-12T02:00:14Z marcxml true Inspire 1782485 arXiv arXiv:2203.03055 physics.ins-det eng Amsler, C. INSPIRE-00318428 ORCID:0000-0002-7695-501X claude.amsler@cern.ch Stefan Meyer Inst. Subatomare Phys. Stefan Meyer Institute for Subatomic Physics, Austrian Academy of Sciences, Boltzmanngasse 3, Vienna, 1090, Austria Elsevier A cryogenic tracking detector for antihydrogen detection in the AEgIS experiment 2020-04-21 2022-03-06 15 p Elsevier We present the commissioning of the Fast Annihilation Cryogenic Tracker detector (FACT), installed around the antihydrogen production trap inside the 1 T superconducting magnet of the AEgIS experiment. FACT is designed to detect pions originating from the annihilation of antiprotons. Its 794 scintillating fibers operate at 4K and are read out by silicon photomultipliers (MPPCs) at near room temperature. FACT provides the antiproton/antihydrogen annihilation position information with a few ns timing resolution. We present the hardware and software developments which led to the successful operation of the detector for antihydrogen detection and the results of an antiproton-loss based efficiency assessment. The main background to the antihydrogen signal is that of the positrons impinging onto the positronium conversion target and creating a large amount of gamma rays which produce a sizeable signal in the MPPCs shortly before the antihydrogen signal is expected. We detail the characterization of this background signal and its impact on the antihydrogen detection efficiency. arXiv We present the commissioning of the Fast Annihilation Cryogenic Tracker detector (FACT), installed around the antihydrogen production trap inside the 1 T superconducting magnet of the AEḡIS experiment. FACT is designed to detect pions originating from the annihilation of antiprotons. Its 794 scintillating fibers operate at 4 K and are read out by silicon photomultipliers (MPPCs) at near room temperature. FACT provides the antiproton/antihydrogen annihilation position information with a few ns timing resolution. We present the hardware and software developments which led to the successful operation of the detector for antihydrogen detection and the results of an antiproton-loss based efficiency assessment. The main background to the antihydrogen signal is that of the positrons impinging onto the positronium conversion target and creating a large amount of gamma rays which produce a sizeable signal in the MPPCs shortly before the antihydrogen signal is expected. We detail the characterization of this background signal and its impact on the antihydrogen detection efficiency. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication © 2020 Published by Elsevier B.V. SzGeCERN Detectors and Experimental Techniques author Scintillator detector author Antihydrogen author Antiproton author Positron author Gravity author Antimatter author Cryogenic tracker CERN CERN AEgIS Antonello, M. massimiliano.antonello@cern.ch INFN, Milan Insubria U., Como INFN Milano, via Celoria 16, Milano, 20133, Italy Department of Science, University of Insubria, Via Valleggio 11, Como, 22100, Italy Belov, A. alexandre.belov@cern.ch Moscow, INR Institute for Nuclear Research of the Russian Academy of Science, Moscow, 117312, Russia Bonomi, G. INSPIRE-00068097 INFM, Brescia INFN, Pavia Department of Mechanical and Industrial Engineering, University of Brescia, via Branze 38, Brescia, 25123, Italy INFN Pavia, via Bassi 6, Pavia, 27100, Italy Brusa, R.S. robertosennen.brusa@unitn.it Trento U. TIFPA-INFN, Trento Department of Physics, University of Trento, via Sommarive 14 38123 Povo, Trento, Italy TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Caccia, M. INSPIRE-00229517 INFN, Milan Insubria U., Como INFN Milano, via Celoria 16, Milano, 20133, Italy Department of Science, University of Insubria, Via Valleggio 11, Como, 22100, Italy Camper, A. antoine.camper@cern.ch CERN Physics Department, CERN, Geneva 23, 1211, Switzerland Caravita, R. INSPIRE-00582911 CERN Physics Department, CERN, Geneva 23, 1211, Switzerland Castelli, F. fabrizio.castelli@mi.infn.it INFN, Milan Milan U. INFN Milano, via Celoria 16, Milano, 20133, Italy Department of Physics “Aldo Pontremoli”, University of Milano, via Celoria 16, Milano, 20133, Italy Comparat, D. daniel.comparat@u-psud.fr LAC, Orsay Laboratoire Aimé Cotton, Université Paris-Sud, ENS Paris Saclay, CNRS, Université Paris-Saclay, Orsay Cedex, 91405, France Consolati, G. INSPIRE-00641471 Milan Polytechnic INFN, Milan Department of Aerospace Science and Technology, Politecnico di Milano, via La Masa 34, Milano, 20156, Italy INFN Milano, via Celoria 16, Milano, 20133, Italy Demetrio, A. andrea.demetrio@cern.ch Kirchhoff Inst. Phys. Kirchhoff Institute for Physics, Heidelberg University, Im Neuenheimer Feld 227, Heidelberg, 69120, Germany Di Noto, L. lea.di.noto@cern.ch Genoa U. INFN, Genoa Department of Physics, University of Genova, via Dodecaneso 33, Genova, 16146, Italy INFN Genova, via Dodecaneso 33, Genova, 16146, Italy Doser, M. INSPIRE-00077921 CERN Physics Department, CERN, Geneva 23, 1211, Switzerland Ekman, P.A. per.alexander.ekman@cern.ch CERN Physics Department, CERN, Geneva 23, 1211, Switzerland Fanì, M. INSPIRE-00702233 mattia.fani@cern.ch CERN Genoa U. INFN, Genoa Physics Department, CERN, Geneva 23, 1211, Switzerland Department of Physics, University of Genova, via Dodecaneso 33, Genova, 16146, Italy INFN Genova, via Dodecaneso 33, Genova, 16146, Italy Ferragut, R. rafael.ferragut@polimi.it Milan Polytechnic INFN, Milan LNESS, Department of Physics, Politecnico di Milano, via Anzani 42, Como, 22100, Italy INFN Milano, via Celoria 16, Milano, 20133, Italy Gerber, S. sebastian.gerber@cern.ch CERN Physics Department, CERN, Geneva 23, 1211, Switzerland Giammarchi, M. INSPIRE-00379038 INFN, Milan INFN Milano, via Celoria 16, Milano, 20133, Italy Gligorova, A. angela.gligorova@cern.ch Stefan Meyer Inst. Subatomare Phys. Stefan Meyer Institute for Subatomic Physics, Austrian Academy of Sciences, Boltzmanngasse 3, Vienna, 1090, Austria Guatieri, F. fguatier@cern.ch Trento U. TIFPA-INFN, Trento Department of Physics, University of Trento, via Sommarive 14 38123 Povo, Trento, Italy TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Hackstock, P. philip.hackstock@cern.ch Stefan Meyer Inst. Subatomare Phys. Stefan Meyer Institute for Subatomic Physics, Austrian Academy of Sciences, Boltzmanngasse 3, Vienna, 1090, Austria Haider, D. Stefan Meyer Inst. Subatomare Phys. Stefan Meyer Institute for Subatomic Physics, Austrian Academy of Sciences, Boltzmanngasse 3, Vienna, 1090, Austria Haider, S. CERN Physics Department, CERN, Geneva 23, 1211, Switzerland Hinterberger, A. CERN Physics Department, CERN, Geneva 23, 1211, Switzerland Kellerbauer, A. Heidelberg, Max Planck Inst. Max Planck Institute for Nuclear Physics, Saupfercheckweg 1, Heidelberg, 69117, Germany Khalidova, O. CERN Physics Department, CERN, Geneva 23, 1211, Switzerland Krasnický, D. INFN, Genoa INFN Genova, via Dodecaneso 33, Genova, 16146, Italy Lagomarsino, V. Genoa U. INFN, Genoa Department of Physics, University of Genova, via Dodecaneso 33, Genova, 16146, Italy INFN Genova, via Dodecaneso 33, Genova, 16146, Italy Malbrunot, C. INSPIRE-00533109 CERN Physics Department, CERN, Geneva 23, 1211, Switzerland Mariazzi, S. TIFPA-INFN, Trento Trento U. TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Department of Physics, University of Trento, via Sommarive 14 38123 Povo, Trento, Italy Matveev, V. Moscow, INR Dubna, JINR Institute for Nuclear Research of the Russian Academy of Science, Moscow, 117312, Russia Joint Institute for Nuclear Research, Dubna, 141980, Russia Müller, S.R. Kirchhoff Inst. Phys. Kirchhoff Institute for Physics, Heidelberg University, Im Neuenheimer Feld 227, Heidelberg, 69120, Germany Nebbia, G. INFN, Padua INFN Padova, via Marzolo 8, Padova, 35131, Italy Nedelec, P. Lyon, IPN Institute of Nuclear Physics, CNRS/IN2p3, University of Lyon 1, Villeurbanne, 69622, France Nowak, L. CERN Physics Department, CERN, Geneva 23, 1211, Switzerland Oberthaler, M. Kirchhoff Inst. Phys. Kirchhoff Institute for Physics, Heidelberg University, Im Neuenheimer Feld 227, Heidelberg, 69120, Germany Oswald, E. CERN Physics Department, CERN, Geneva 23, 1211, Switzerland Pagano, D. INFM, Brescia INFN, Pavia Department of Mechanical and Industrial Engineering, University of Brescia, via Branze 38, Brescia, 25123, Italy INFN Pavia, via Bassi 6, Pavia, 27100, Italy Penasa, L. Trento U. TIFPA-INFN, Trento Department of Physics, University of Trento, via Sommarive 14 38123 Povo, Trento, Italy TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Petracek, V. Prague, Tech. U. Czech Technical University, Prague, Brehová, Prague1, 11519, Czech Republic Prelz, F. INFN, Milan INFN Milano, via Celoria 16, Milano, 20133, Italy Prevedelli, M. U. Bologna (main) University of Bologna, Viale Berti Pichat 6/2, 40126, Italy Rienaecker, B. CERN Physics Department, CERN, Geneva 23, 1211, Switzerland Robert, J. LAC, Orsay Laboratoire Aimé Cotton, Université Paris-Sud, ENS Paris Saclay, CNRS, Université Paris-Saclay, Orsay Cedex, 91405, France Røhne, O.M. Oslo U. Department of Physics, University of Oslo, Sem SÊlandsvei 24, Oslo, 0371, Norway Rotondi, A. INFN, Pavia Pavia U. INFN Pavia, via Bassi 6, Pavia, 27100, Italy Department of Physics, University of Pavia, via Bassi 6, Pavia, 27100, Italy Sandaker, H. Oslo U. Department of Physics, University of Oslo, Sem SÊlandsvei 24, Oslo, 0371, Norway Santoro, R. INFN, Milan Insubria U., Como INFN Milano, via Celoria 16, Milano, 20133, Italy Department of Science, University of Insubria, Via Valleggio 11, Como, 22100, Italy Storey, J. U. Bern, AEC Laboratory for High Energy Physics, Albert Einstein Center for Fundamental Physics, University of Bern, Bern, 3012, Switzerland Testera, G. INFN, Genoa INFN Genova, via Dodecaneso 33, Genova, 16146, Italy Tietje, I.C. CERN Physics Department, CERN, Geneva 23, 1211, Switzerland Toso, V. Milan Polytechnic INFN, Milan LNESS, Department of Physics, Politecnico di Milano, via Anzani 42, Como, 22100, Italy INFN Milano, via Celoria 16, Milano, 20133, Italy Wolz, T. CERN Physics Department, CERN, Geneva 23, 1211, Switzerland Wuethrich, J. CERN Physics Department, CERN, Geneva 23, 1211, Switzerland Yzombard, P. Heidelberg, Max Planck Inst. Max Planck Institute for Nuclear Physics, Saupfercheckweg 1, Heidelberg, 69117, Germany Zimmer, C. Heidelberg U. CERN Oslo U. Department of Physics, Heidelberg University, Im Neuenheimer Feld 226, Heidelberg, 69120, Germany Physics Department, CERN, Geneva 23, 1211, Switzerland Department of Physics, University of Oslo, Sem SÊlandsvei 24, Oslo, 0371, Norway Zurlo, N. INFN, Pavia INFM, Brescia INFN Pavia, via Bassi 6, Pavia, 27100, Italy Department of Civil, Environmental, Architectural Engineering and Mathematics, University of Brescia, via Branze 43, Brescia, 25123, Italy 163637 Nucl. Instrum. Methods Phys. Res., A 960 2020 2353960 8299229 http://cds.cern.ch/record/2712066/files/2203.03055.pdf Fulltext 2353961 484922 http://cds.cern.ch/record/2712066/files/FigureB_Overlayed2.png 00001 Longitudinal projection of the FACT detector showing the two fiber superlayers and the distribution of the detector's fibers among different readout FPGA boards. The origin of the horizontal axis coincides with the center of the FACT detector. To allow for distributed testing of the detector, FPGA 17, which reads a newer generation of MPPCs, was connected to fibers evenly distributed along the direction of the detector's axis. 2353962 60443 http://cds.cern.ch/record/2712066/files/FigureC.png 00003 Dark count rate of the 24th fiber of FPGA 8 measured across the entire spectrum of bias and threshold values available. It can be seen that although the dark counts can be regulated by using either parameter, the \bias{} has the largest range. 2353963 67470 http://cds.cern.ch/record/2712066/files/Trackability3.png 00016 Distribution of vertexes for the signal shown in figure \ref{TypicalShot} for two different time slices highlighting the typical z-distribution for untrackable (top) and trackable signals (bottom). 2353964 119669 http://cds.cern.ch/record/2712066/files/GeneralScheme.png 00002 General connection scheme of the FACT detector from the fiber readout level to the host computer controlling the detector and performing the readout. 2353965 117258 http://cds.cern.ch/record/2712066/files/SmartEqualization.png 00005 An example of a simulated equalization procedure for a single fiber (here we display its sixth iteration). The blue dashed line shows the simulated fiber activity which in a real case scenario we observed to be much steeper. The red envelope shows the interpolated assessment of $R$ and the horizontal black-dotted line indicates the targeted dark noise activity $T$. In magenta, the interest estimator $I$ (employing an arbitrary scale) in shown indicating that it is already strongly peaking at the optimal \emph{Bias} setting. 2353966 255515 http://cds.cern.ch/record/2712066/files/BoomerangPlotB.png 00012 Left: the rate of tracks recorded by FACT during a radial release (in filled-in purple) superimposed with the activity recorded by the \AEgIS scintillating detectors (in orange); at \SI{50}{\milli s} FACT saturates and the rate of recorded tracks drops. Right: the same data is represented as a scatter plot, showing the limit of the FACT detector before saturating to be around $4\times10^6$ tracks/s. 2353967 53517 http://cds.cern.ch/record/2712066/files/TrackingScheme.png 00009 General scheme of the tracking algorithm employed in FACT. Rising edges are collected following time coincidence criteria to create events. Adjacent fibers within events are then collected into clusters which are fitted to generate tracks. 2353968 299079 http://cds.cern.ch/record/2712066/files/DarkCount_T_Dependency.png 00006 Above : the total dark count rate of the FACT detector, monitored over 6 hours. Every 100 minutes the detector equalization was repeated, bringing, for this particular test, the single-fiber dark count rate to \SI{35}{s^{-1}}. Below : the average detector temperature monitored over the same time span; the drift in the dark count rate induced by the temperature variation is evident. 2353969 97035 http://cds.cern.ch/record/2712066/files/Bias_T_Dependency.png 00007 Dependency of the mean \emph{Bias} determined by the equalization procedure, as a function of the average MPPC temperature. The measurement has been performed by periodically calibrating the detector in the span of a night. 2353970 17943 http://cds.cern.ch/record/2712066/files/FACTEqualizationScheme.png 00004 A saturating buffer in an FPGA will show, at the end of the recording, a buffer whose end is devoid of events. We therefore choose the observation time $\Delta t$ to be the portion of the buffer ranging up until the last observed event in order to prevent incorrect assessments due to saturation. 2353971 562723 http://cds.cern.ch/record/2712066/files/Figure1.png 00000 Left: cutaway layout of the FACT detector enclosing the \antih production trap. The four layers of scintillating fibers are shown in blue and light gray (the clear fibers connected on one end are not depicted), the antiproton trap is located at the center of FACT, the positron target, depicted in red, is directly above the trap. Right: photograph of the FACT detector before addition of the clear fibers. The detector is rotated with respect to the layout on the left in order to exhibit the gaps thus revealing the two ends of the scintillating fibers. 2353972 125088 http://cds.cern.ch/record/2712066/files/EPlusTracking.png 00014 Position along the $z$ axis of the reconstructed vertexes recorded in FACT within $\unit[5]{\mu s}$ after the positron shot (in red). As the observation window is much smaller than that available for \antip release procedures, 300 runs had to be combined together to obtain a distribution. In dashed blue the expected \emph{untrackable} component computed from Monte-Carlo (see \S\ref{S:Antiprotons}) is shown and can describe the entirety of the signal. 2353973 594848 http://cds.cern.ch/record/2712066/files/StabilizedT.png 00008 Upper: temperature excursion of the MPPC boards with the thermal control disabled. Lower: the temperature excursion observed with the thermal control enabled. 2353974 73153 http://cds.cern.ch/record/2712066/files/AlexanderPlot.png 00013 Average time-over-threshold of the first event following the positron burst as a function of the number of accumulation cycles constituting the positron shot. The number of cycles, as long as the saturation of the positron accumulation trap is not reached, is a good measurement of the number of positrons present in a single shot. As it can be seen, from 400 accumulated shots onward, the duration of the detector blindness is roughly linear in the number of positrons shot. 2353975 444975 http://cds.cern.ch/record/2712066/files/HyperbolaParameters_Overlayed5.png 00010 Projection of the straight trajectory originating from an annihilation taking place on the trap wall. The parameters $r_0$, $z_0$ and $\theta$ of the hyperbola given in formula \ref{eq:hyp-r-sqrt} are illustrated along with the position of the annihilation and the reconstructed vertex. The asymptotes of this hyperbola are shown in dashed black. 2353976 227736 http://cds.cern.ch/record/2712066/files/TypicalProfileSPSC_Revised2.png 00015 Typical shape of the activity in FACT during an \antih production cycle. The two frames show the same curve at different magnification levels. To obtain these profiles, 1027 different \antih production cycles have been averaged together. The blue line shows the global rate of rising edges in the detector, the red curve which fraction of the detector's fibers are above threshold at any single moment. The horizontal blue line indicates the dark count rate of $\unit[50]{s^{-1}}$ per fiber. The first $\unit[0.4]{\mu s}$ after the positron dump is a period of complete detector blindness. This period is followed (up to $\sim\unit[2]{\mu s}$) by a partial recovery of the detector where fibers furthest away from the positron annihilation point exhibit periods of no activity while the central fibers are still on. This period consists fully of untrackable signal as shown in the upper panel of Fig.~\ref{Trackability}. Following this region, is a high activity region including a mix of untrackable and trackable signals (bi-colored hatched region). From $\sim\unit[7]{\mu s}$ the signal is dominated by trackable signals as can be seen from the lower panel of Fig.~\ref{Trackability}. After $\sim\unit[20]{\mu s}$ the signal becomes again a mix of untrackable and trackable signals (last hatched region in the lower panel) until the signal is consistent again with the average dark count rate of the detector. 2353977 203097 http://cds.cern.ch/record/2712066/files/PBarDump.png 00011 Distribution along the $z$ axis of vertexes reconstructed from a controlled radial release (above) and an axial release (below). The distribution of all reconstructed vertexes, that comprises the \emph{trackable} signal and an \emph{untrackable} background, is shown in red. The dashed blue lines indicate the \emph{untrackable} background as reconstructed via Monte Carlo simulation and in filled-in orange the background-subtracted trackable signal. The peaks in the upper panel are consistent with the position of the upstream and downstream electrodes in between which the \antip~plasma is held during this particular procedure. The peak in the lower panel shows the position of the MCP onto which the antiprotons are released. 13 ARTICLE 2715407 20250822110027.0 oai:cds.cern.ch:2715407 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI bibmatch 10.1140/epjc/s10052-020-08801-2 arXiv oai:arXiv.org:2004.02024 oai:inspirehep.net:1789768 https://inspirehep.net/api/oai2d Inspire 2025-08-21T13:59:14Z 2025-08-22T02:02:25Z marcxml true Inspire 1789768 arXiv arXiv:2004.02024 physics.ins-det FERMILAB-PUB-20-155-PPD eng Aalseth, C.E. GRID:grid.451303.0 ROR:https://ror.org/05h992307 PNL, Richland Pacific Northwest National Laboratory, Richland, WA 99352, USA arXiv SiPM-matrix readout of two-phase argon detectors using electroluminescence in the visible and near infrared range 2021-02-15 2020-04-04 26 p arXiv 26 pages, 22 figures, 3 tables Springer Proportional electroluminescence (EL) in noble gases is used in two-phase detectors for dark matter searches to record (in the gas phase) the ionization signal induced by particle scattering in the liquid phase. The “standard” EL mechanism is considered to be due to noble gas excimer emission in the vacuum ultraviolet (VUV). In addition, there are two alternative mechanisms, producing light in the visible and near infrared (NIR) ranges. The first is due to bremsstrahlung of electrons scattered on neutral atoms (“neutral bremsstrahlung”, NBrS). The second, responsible for electron avalanche scintillation in the NIR at higher electric fields, is due to transitions between excited atomic states. In this work, we have for the first time demonstrated two alternative techniques of the optical readout of two-phase argon detectors, in the visible and NIR range, using a silicon photomultiplier matrix and electroluminescence due to either neutral bremsstrahlung or avalanche scintillation. The amplitude yield and position resolution were measured for these readout techniques, which allowed to assess the detection threshold for electron and nuclear recoils in two-phase argon detectors for dark matter searches. To the best of our knowledge, this is the first practical application of the NBrS effect in detection science. arXiv Proportional electroluminescence (EL) in noble gases is used in two-phase detectors for dark matter searches to record (in the gas phase) the ionization signal induced by particle scattering in the liquid phase. The "standard" EL mechanism is considered to be due to noble gas excimer emission in the vacuum ultraviolet (VUV). In addition, there are two alternative mechanisms, producing light in the visible and near infrared (NIR) ranges. The first is due to bremsstrahlung of electrons scattered on neutral atoms ("neutral bremsstrahlung", NBrS). The second, responsible for electron avalanche scintillation in the NIR at higher electric fields, is due to transitions between excited atomic states. In this work, we have for the first time demonstrated two alternative techniques of the optical readout of two-phase argon detectors, in the visible and NIR range, using a silicon photomultiplier matrix and electroluminescence due to either neutral bremsstrahlung or avalanche scintillation. The amplitude yield and position resolution were measured for these readout techniques, which allowed to assess the detection threshold for electron and nuclear recoils in two-phase argon detectors for dark matter searches. To the best of our knowledge, this is the first practical application of the NBrS effect in detection science. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication CC-BY-4.0 Springer SCOAP3 http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2021 arXiv hep-ex SzGeCERN Particle Physics - Experiment arXiv astro-ph.IM SzGeCERN Astrophysics and Astronomy arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques CERN ARTICLE DARKSIDE Abdelhakim, S. ROR:https://ror.org/003dfhs04 Orsay, IPN Institut de Physique Nuclèaire d'Orsay, 91406, Orsay, France Agnes, P. ROR:https://ror.org/048sx0r50 Houston U. Department of Physics, University of Houston, Houston, TX 77204, USA Ajaj, R. ROR:https://ror.org/02qtvee93 Carleton U. Department of Physics, Carleton University, Ottawa, ON K1S 5B6, Canada Albuquerque, I.F.M. ROR:https://ror.org/036rp1748 Sao Paulo U. Instituto de Física, Universidade de São Paulo, São Paulo 05508-090, Brazil Alexander, T. ROR:https://ror.org/05h992307 PNL, Richland Pacific Northwest National Laboratory, Richland, WA 99352, USA Alici, A. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 U. Bologna, DIFA INFN, Bologna Physics Department, Università degli Studi di Bologna, Bologna 40126, Italy INFN Bologna, Bologna 40126, Italy Alton, A.K. ROR:https://ror.org/03a3qwm26 Augustana Coll., Sioux Falls Physics Department, Augustana University, Sioux Falls, SD 57197, USA Amaudruz, P. ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, BC V6T 2A3, Canada Ameli, F. ROR:https://ror.org/05eva6s33 INFN, Rome INFN Sezione di Roma, Roma 00185, Italy Anstey, J. ROR:https://ror.org/02qtvee93 Carleton U. Department of Physics, Carleton University, Ottawa, ON K1S 5B6, Canada Antonioli, P. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Bologna, Bologna 40126, Italy Arba, M. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Arcelli, S. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 U. Bologna, DIFA INFN, Bologna Physics Department, Università degli Studi di Bologna, Bologna 40126, Italy INFN Bologna, Bologna 40126, Italy Ardito, R. ROR:https://ror.org/04w4m6z96 Milan Polytechnic INFN, Milan Civil and Environmental Engineering Department, Politecnico di Milano, Milano 20133, Italy INFN Milano, Milano 20133, Italy Arnquist, I.J. ROR:https://ror.org/05h992307 PNL, Richland Pacific Northwest National Laboratory, Richland, WA 99352, USA Arpaia, P. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples Department of Electrical Engineering and Information Technology, Università degli Studi ``Federico II'' di Napoli, Napoli 80125, Italy INFN Napoli, Napoli 80126, Italy Asner, D.M. ROR:https://ror.org/02ex6cf31 Brookhaven Brookhaven National Laboratory, Upton, NY 11973, USA Asunskis, A. ROR:https://ror.org/03fng6237 Black Hills State U. School of Natural Sciences, Black Hills State University, Spearfish, SD 57799, USA Ave, M. ROR:https://ror.org/036rp1748 Sao Paulo U. Instituto de Física, Universidade de São Paulo, São Paulo 05508-090, Brazil Back, H.O. ROR:https://ror.org/05h992307 PNL, Richland Pacific Northwest National Laboratory, Richland, WA 99352, USA Barbaryan, V. ROR:https://ror.org/010pmpe69 SINP, Moscow Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow 119234, Russia Barrado Olmedo, A. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Batignani, G. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Pisa, Pisa 56127, Italy Physics Department, Università degli Studi di Pisa, Pisa 56127, Italy Bisogni, M.G. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Pisa, Pisa 56127, Italy Physics Department, Università degli Studi di Pisa, Pisa 56127, Italy Bocci, V. ROR:https://ror.org/05eva6s33 INFN, Rome INFN Sezione di Roma, Roma 00185, Italy Bondar, A. ROR:https://ror.org/03e5eem51 ROR:https://ror.org/04t2ss102 Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk 630090, Russia Novosibirsk State University, Novosibirsk 630090, Russia Bonfini, G. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Bonivento, W. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Borisova, E. ROR:https://ror.org/03e5eem51 ROR:https://ror.org/04t2ss102 Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk 630090, Russia Novosibirsk State University, Novosibirsk 630090, Russia Bottino, B. ROR:https://ror.org/0107c5v14 ROR:https://ror.org/02v89pq06 Genoa U. INFN, Genoa Physics Department, Università degli Studi di Genova, Genova 16146, Italy INFN Genova, Genova 16146, Italy Boulay, M.G. ROR:https://ror.org/02qtvee93 Carleton U. Department of Physics, Carleton University, Ottawa, ON K1S 5B6, Canada Bunker, R. ROR:https://ror.org/05h992307 PNL, Richland Pacific Northwest National Laboratory, Richland, WA 99352, USA Bussino, S. ROR:https://ror.org/009wnjh50 ROR:https://ror.org/05vf0dg29 INFN, Rome3 Rome III U. INFN Roma Tre, Roma 00146, Italy Mathematics and Physics Department, Università degli Studi Roma Tre, Roma 00146, Italy Buzulutskov, A. ROR:https://ror.org/03e5eem51 ROR:https://ror.org/04t2ss102 Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk 630090, Russia Novosibirsk State University, Novosibirsk 630090, Russia Cadeddu, M. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy Cadoni, M. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy Caminata, A. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Genova, Genova 16146, Italy Canci, N. ROR:https://ror.org/048sx0r50 ROR:https://ror.org/02s8k0k61 Houston U. Gran Sasso Department of Physics, University of Houston, Houston, TX 77204, USA INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Candela, A. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Cantini, C. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics, ETH Zürich, Zürich 8093, Switzerland Caravati, M. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Cariello, M. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Genova, Genova 16146, Italy Carnesecchi, F. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 U. Bologna, DIFA INFN, Bologna Enrico Fermi Ctr., Rome Physics Department, Università degli Studi di Bologna, Bologna 40126, Italy INFN Bologna, Bologna 40126, Italy Museo della fisica e Centro studi e Ricerche Enrico Fermi, Roma 00184, Italy Castellani, A. ROR:https://ror.org/04w4m6z96 Milan Polytechnic INFN, Milan Civil and Environmental Engineering Department, Politecnico di Milano, Milano 20133, Italy INFN Milano, Milano 20133, Italy Castello, P. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Department of Electrical and Electronic Engineering, Università degli Studi, Cagliari 09023, Italy INFN Cagliari, Cagliari 09042, Italy Cavalcante, P. ROR:https://ror.org/02smfhw86 ROR:https://ror.org/02s8k0k61 Virginia Tech. Gran Sasso Virginia Tech, Blacksburg, VA 24061, USA INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Cavazza, D. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Bologna, Bologna 40126, Italy Cavuoti, S. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples Physics Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80126, Italy INFN Napoli, Napoli 80126, Italy Cebrian, S. ROR:https://ror.org/012a91z28 Zaragoza U. Centro de Astropartículas y Física de Altas Energías, Universidad de Zaragoza, Zaragoza 50009, Spain Cela Ruiz, J.M. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Celano, B. ROR:https://ror.org/015kcdd40 INFN, Naples INFN Napoli, Napoli 80126, Italy Cereseto, R. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Genova, Genova 16146, Italy Chashin, S. ROR:https://ror.org/010pmpe69 SINP, Moscow Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow 119234, Russia Cheng, W. ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/00bgk9508 INFN, Turin Turin Polytechnic INFN Torino, Torino 10125, Italy Department of Electronics and Communications, Politecnico di Torino, Torino 10129, Italy Chepurnov, A. ROR:https://ror.org/010pmpe69 SINP, Moscow Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow 119234, Russia Cicalò, C. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Cifarelli, L. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 U. Bologna, DIFA INFN, Bologna Physics Department, Università degli Studi di Bologna, Bologna 40126, Italy INFN Bologna, Bologna 40126, Italy Citterio, M. ROR:https://ror.org/04w4m6z96 INFN, Milan INFN Milano, Milano 20133, Italy Coccetti, F. Enrico Fermi Ctr., Rome Museo della fisica e Centro studi e Ricerche Enrico Fermi, Roma 00184, Italy Cocco, V. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Colocci, M. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 U. Bologna, DIFA INFN, Bologna Physics Department, Università degli Studi di Bologna, Bologna 40126, Italy INFN Bologna, Bologna 40126, Italy Conde Vidal, E. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Consiglio, L. ROR:https://ror.org/043qcb444 GSSI, Aquila Gran Sasso Science Institute, L'Aquila 67100, Italy Cossio, F. ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/00bgk9508 INFN, Turin Turin Polytechnic INFN Torino, Torino 10125, Italy Department of Electronics and Communications, Politecnico di Torino, Torino 10129, Italy Covone, G. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples Physics Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80126, Italy INFN Napoli, Napoli 80126, Italy Crivelli, P. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics, ETH Zürich, Zürich 8093, Switzerland D'Antone, I. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Bologna, Bologna 40126, Italy D'Incecco, M. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Da Rocha Rolo, M.D. ROR:https://ror.org/01vj6ck58 INFN, Turin INFN Torino, Torino 10125, Italy Dadoun, O. Paris U., VI-VII LPNHE, CNRS/IN2P3, Sorbonne Université, Université Paris Diderot, Paris 75252, France Daniel, M. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Davini, S. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Genova, Genova 16146, Italy De Cecco, S. ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. INFN Sezione di Roma, Roma 00185, Italy Physics Department, Sapienza Università di Roma, Roma 00185, Italy De Deo, M. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy De Falco, A. ROR:https://ror.org/03paz5966 ROR:https://ror.org/003109y17 INFN, Cagliari Cagliari U. INFN Cagliari, Cagliari 09042, Italy Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy De Gruttola, D. ROR:https://ror.org/0192m2k53 ROR:https://ror.org/043kfae87 Salerno U. INFN, Salerno Physics Department, Universitá degli Studi di Salerno, Salerno 84084, Italy INFN Salerno, Salerno 84084, Italy De Guido, G. ROR:https://ror.org/04w4m6z96 Milan Polytechnic INFN, Milan Chemistry, Materials and Chemical Engineering Department ``G. ~Natta", Politecnico di Milano, Milano 20133, Italy INFN Milano, Milano 20133, Italy De Rosa, G. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples Physics Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80126, Italy INFN Napoli, Napoli 80126, Italy Dellacasa, G. ROR:https://ror.org/01vj6ck58 INFN, Turin INFN Torino, Torino 10125, Italy Demontis, P. ROR:https://ror.org/03prydq77 ROR:https://ror.org/02k1zhm92 Vienna U. INFN, LNS Europa Metalli LMI, Florence Chemistry and Pharmacy Department, Università degli Studi di Sassari, Sassari 07100, Italy INFN Laboratori Nazionali del Sud, Catania 95123, Italy Interuniversity Consortium for Science and Technology of Materials, Firenze 50121, Italy De Pasquale, S. ROR:https://ror.org/0192m2k53 ROR:https://ror.org/043kfae87 Salerno U. INFN, Salerno Physics Department, Universitá degli Studi di Salerno, Salerno 84084, Italy INFN Salerno, Salerno 84084, Italy Derbin, A.V. ROR:https://ror.org/037styt87 St. Petersburg, INP Saint Petersburg Nuclear Physics Institute, Gatchina 188350, Russia Devoto, A. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy Di Eusanio, F. ROR:https://ror.org/00hx57361 ROR:https://ror.org/02s8k0k61 Princeton U. Gran Sasso Physics Department, Princeton University, Princeton, NJ 08544, USA INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Di Noto, L. ROR:https://ror.org/0107c5v14 ROR:https://ror.org/02v89pq06 Genoa U. INFN, Genoa Physics Department, Università degli Studi di Genova, Genova 16146, Italy INFN Genova, Genova 16146, Italy Di Pietro, G. ROR:https://ror.org/02s8k0k61 ROR:https://ror.org/04w4m6z96 Gran Sasso INFN, Milan INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy INFN Milano, Milano 20133, Italy Di Stefano, P. ROR:https://ror.org/02y72wh86 Queen's U., Kingston Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, ON K7L 3N6, Canada Dionisi, C. ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. INFN Sezione di Roma, Roma 00185, Italy Physics Department, Sapienza Università di Roma, Roma 00185, Italy Dolganov, G. ROR:https://ror.org/00n1nz186 Kurchatov Inst., Moscow National Research Centre Kurchatov Institute, Moscow 123182, Russia Dordei, F. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Downing, M. ROR:https://ror.org/0072zz521 Massachusetts U., Amherst Amherst Center for Fundamental Interactions and Physics Department, University of Massachusetts, Amherst, MA 01003, USA Edalatfar, F. ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, BC V6T 2A3, Canada Empl, A. ROR:https://ror.org/048sx0r50 Houston U. Department of Physics, University of Houston, Houston, TX 77204, USA Fernandez Diaz, M. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Filip, C. INCDTIM, Cluj Napoca National Institute for R&D of Isotopic and Molecular Technologies, Cluj-Napoca, 400293, Romania Fiorillo, G. ORCID:0000-0002-6916-6776 ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples Physics Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80126, Italy INFN Napoli, Napoli 80126, Italy Fomenko, K. ROR:https://ror.org/044yd9t77 Dubna, JINR Joint Institute for Nuclear Research, Dubna 141980, Russia Franceschi, A. ROR:https://ror.org/049jf1a25 Frascati INFN Laboratori Nazionali di Frascati, Frascati 00044, Italy Franco, D. ORCID:0000-0001-5604-2531 ROR:https://ror.org/03tnjrr49 APC, Paris APC, Université Paris Diderot, CNRS/IN2P3, CEA/Irfu, Obs de Paris, USPC, Paris 75205, France Frolov, E. ROR:https://ror.org/03e5eem51 ROR:https://ror.org/04t2ss102 Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk 630090, Russia Novosibirsk State University, Novosibirsk 630090, Russia Froudakis, G.E. ROR:https://ror.org/00dr28g20 Crete U. Department of Chemistry, University of Crete, P. O. Box 2208, 71003 Heraklion, Crete, Greece Funicello, N. ROR:https://ror.org/0192m2k53 ROR:https://ror.org/043kfae87 Salerno U. INFN, Salerno Physics Department, Universitá degli Studi di Salerno, Salerno 84084, Italy INFN Salerno, Salerno 84084, Italy Gabriele, F. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Gabrieli, A. ROR:https://ror.org/03prydq77 ROR:https://ror.org/02k1zhm92 Vienna U. INFN, LNS Chemistry and Pharmacy Department, Università degli Studi di Sassari, Sassari 07100, Italy INFN Laboratori Nazionali del Sud, Catania 95123, Italy Galbiati, C. ROR:https://ror.org/00hx57361 ROR:https://ror.org/043qcb444 Princeton U. GSSI, Aquila Physics Department, Princeton University, Princeton, NJ 08544, USA Gran Sasso Science Institute, L'Aquila 67100, Italy Garbini, M. ROR:https://ror.org/04j0x0h93 INFN, Bologna Enrico Fermi Ctr., Rome INFN Bologna, Bologna 40126, Italy Museo della fisica e Centro studi e Ricerche Enrico Fermi, Roma 00184, Italy Garcia Abia, P. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Gascón Fora, D. ROR:https://ror.org/021018s57 ICC, Barcelona U. Universitat de Barcelona, Barcelona E-08028, Catalonia, Spain Gendotti, A. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics, ETH Zürich, Zürich 8093, Switzerland Ghiano, C. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Ghisi, A. ROR:https://ror.org/04w4m6z96 Milan Polytechnic INFN, Milan Civil and Environmental Engineering Department, Politecnico di Milano, Milano 20133, Italy INFN Milano, Milano 20133, Italy Giampa, P. ORCID:0000-0002-3867-2799 ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, BC V6T 2A3, Canada Giampaolo, R.A. ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/00bgk9508 INFN, Turin Turin Polytechnic INFN Torino, Torino 10125, Italy Department of Electronics and Communications, Politecnico di Torino, Torino 10129, Italy Giganti, C. Paris U., VI-VII LPNHE, CNRS/IN2P3, Sorbonne Université, Université Paris Diderot, Paris 75252, France Giorgi, M.A. ROR:https://ror.org/03ad39j10 ROR:https://ror.org/05symbg58 Pisa U. INFN, Pisa Physics Department, Università degli Studi di Pisa, Pisa 56127, Italy INFN Pisa, Pisa 56127, Italy Giovanetti, G.K. ORCID:0000-0002-3125-0550 ROR:https://ror.org/00hx57361 Princeton U. Physics Department, Princeton University, Princeton, NJ 08544, USA Gligan, M.L. INCDTIM, Cluj Napoca National Institute for R&D of Isotopic and Molecular Technologies, Cluj-Napoca, 400293, Romania Gorchakov, O. ROR:https://ror.org/044yd9t77 Dubna, JINR Joint Institute for Nuclear Research, Dubna 141980, Russia Grab, M. ROR:https://ror.org/03bqmcz70 Jagiellonian U. M. Smoluchowski Institute of Physics, Jagiellonian University, 30-348 Krakow, Poland Graciani Diaz, R. ROR:https://ror.org/021018s57 ICC, Barcelona U. Universitat de Barcelona, Barcelona E-08028, Catalonia, Spain Grassi, M. ROR:https://ror.org/05symbg58 INFN, Pisa INFN Pisa, Pisa 56127, Italy Grate, J.W. ROR:https://ror.org/05h992307 PNL, Richland Pacific Northwest National Laboratory, Richland, WA 99352, USA Grobov, A. ROR:https://ror.org/00n1nz186 ROR:https://ror.org/04w8z7f34 Kurchatov Inst., Moscow Moscow Phys. Eng. Inst. National Research Centre Kurchatov Institute, Moscow 123182, Russia National Research Nuclear University MEPhI, Moscow 115409, Russia Gromov, M. ROR:https://ror.org/010pmpe69 ROR:https://ror.org/044yd9t77 SINP, Moscow Dubna, JINR Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow 119234, Russia Joint Institute for Nuclear Research, Dubna 141980, Russia Guan, M. ROR:https://ror.org/03v8tnc06 Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Beijing 100049, China Guerra, M.B.B. ROR:https://ror.org/03fng6237 Black Hills State U. School of Natural Sciences, Black Hills State University, Spearfish, SD 57799, USA Guerzoni, M. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Bologna, Bologna 40126, Italy Gulino, M. ROR:https://ror.org/02k1zhm92 Libera U. Kore INFN, LNS Engineering and Architecture Faculty, Università di Enna Kore, Enna 94100, Italy INFN Laboratori Nazionali del Sud, Catania 95123, Italy Haaland, R.K. Fort Lewis Coll. Department of Physics and Engineering, Fort Lewis College, Durango, CO 81301, USA Hackett, B.R. ROR:https://ror.org/05h992307 PNL, Richland Pacific Northwest National Laboratory, Richland, WA 99352, USA Hallin, A. ROR:https://ror.org/0160cpw27 Alberta U. Department of Physics, University of Alberta, Edmonton, AB T6G 2R3, Canada Haranczyk, M. ROR:https://ror.org/03bqmcz70 Jagiellonian U. M. Smoluchowski Institute of Physics, Jagiellonian University, 30-348 Krakow, Poland Harrop, B. ROR:https://ror.org/00hx57361 Princeton U. Physics Department, Princeton University, Princeton, NJ 08544, USA Hoppe, E.W. ROR:https://ror.org/05h992307 PNL, Richland Pacific Northwest National Laboratory, Richland, WA 99352, USA Horikawa, S. ROR:https://ror.org/043qcb444 ROR:https://ror.org/02s8k0k61 GSSI, Aquila Gran Sasso Gran Sasso Science Institute, L'Aquila 67100, Italy INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Hosseini, B. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Hubaut, F. ROR:https://ror.org/00fw8bp86 Marseille, CPPM Centre de Physique des Particules de Marseille, Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France Humble, P. ROR:https://ror.org/05h992307 PNL, Richland Pacific Northwest National Laboratory, Richland, WA 99352, USA Hungerford, E.V. ROR:https://ror.org/048sx0r50 Houston U. Department of Physics, University of Houston, Houston, TX 77204, USA Ianni, An. ROR:https://ror.org/00hx57361 ROR:https://ror.org/02s8k0k61 Princeton U. Gran Sasso Physics Department, Princeton University, Princeton, NJ 08544, USA INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Ilyasov, A. ROR:https://ror.org/00n1nz186 ROR:https://ror.org/04w8z7f34 Kurchatov Inst., Moscow Moscow Phys. Eng. Inst. National Research Centre Kurchatov Institute, Moscow 123182, Russia National Research Nuclear University MEPhI, Moscow 115409, Russia Ippolito, V. ROR:https://ror.org/05eva6s33 INFN, Rome INFN Sezione di Roma, Roma 00185, Italy Jillings, C. ROR:https://ror.org/03rcwtr18 ROR:https://ror.org/04ys6zh37 Laurentian U. SNOLAB, Lively Department of Physics and Astronomy, Laurentian University, Sudbury, ON P3E 2C6, Canada SNOLAB, Lively, ON P3Y 1N2, Canada Keeter, K. ROR:https://ror.org/03fng6237 Black Hills State U. School of Natural Sciences, Black Hills State University, Spearfish, SD 57799, USA Kendziora, C.L. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, IL 60510, USA Kochanek, I. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Kondo, K. ROR:https://ror.org/043qcb444 GSSI, Aquila Gran Sasso Science Institute, L'Aquila 67100, Italy Kopp, G. ROR:https://ror.org/00hx57361 Princeton U. Physics Department, Princeton University, Princeton, NJ 08544, USA Korablev, D. ROR:https://ror.org/044yd9t77 Dubna, JINR Joint Institute for Nuclear Research, Dubna 141980, Russia Korga, G. ROR:https://ror.org/048sx0r50 ROR:https://ror.org/02s8k0k61 Houston U. Gran Sasso Department of Physics, University of Houston, Houston, TX 77204, USA INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Kubankin, A. Belgorod State U. Radiation Physics Laboratory, Belgorod National Research University, Belgorod 308007, Russia Kugathasan, R. ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/00bgk9508 INFN, Turin Turin Polytechnic INFN Torino, Torino 10125, Italy Department of Electronics and Communications, Politecnico di Torino, Torino 10129, Italy Kuss, M. ROR:https://ror.org/05symbg58 INFN, Pisa INFN Pisa, Pisa 56127, Italy La Commara, M. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples Pharmacy Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80131, Italy INFN Napoli, Napoli 80126, Italy La Delfa, L. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Lai, M. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy Lebois, M. ROR:https://ror.org/003dfhs04 Orsay, IPN Institut de Physique Nuclèaire d'Orsay, 91406, Orsay, France Lehnert, B. ROR:https://ror.org/0160cpw27 Alberta U. Department of Physics, University of Alberta, Edmonton, AB T6G 2R3, Canada Levashko, N. ROR:https://ror.org/00n1nz186 ROR:https://ror.org/04w8z7f34 Kurchatov Inst., Moscow Moscow Phys. Eng. Inst. National Research Centre Kurchatov Institute, Moscow 123182, Russia National Research Nuclear University MEPhI, Moscow 115409, Russia Li, X. ROR:https://ror.org/00hx57361 Princeton U. Physics Department, Princeton University, Princeton, NJ 08544, USA Liqiang, Q. ROR:https://ror.org/003dfhs04 Orsay, IPN Institut de Physique Nuclèaire d'Orsay, 91406, Orsay, France Lissia, M. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Lodi, G.U. ROR:https://ror.org/04w4m6z96 Milan Polytechnic INFN, Milan Chemistry, Materials and Chemical Engineering Department ``G. ~Natta", Politecnico di Milano, Milano 20133, Italy INFN Milano, Milano 20133, Italy Longo, G. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples Physics Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80126, Italy INFN Napoli, Napoli 80126, Italy Lussana, R. ROR:https://ror.org/04w4m6z96 Milan Polytechnic INFN, Milan Electronics, Information, and Bioengineering Department, Politecnico di Milano, Milano 20133, Italy INFN Milano, Milano 20133, Italy Luzzi, L. ROR:https://ror.org/04w4m6z96 Milan Polytechnic INFN, Milan Energy Department, Politecnico di Milano, Milano 20133, Italy INFN Milano, Milano 20133, Italy Machado, A.A. ROR:https://ror.org/04wffgt70 Campinas State U. Physics Institute, Universidade Estadual de Campinas, Campinas 13083, Brazil Machulin, I.N. ROR:https://ror.org/00n1nz186 ROR:https://ror.org/04w8z7f34 Kurchatov Inst., Moscow Moscow Phys. Eng. Inst. National Research Centre Kurchatov Institute, Moscow 123182, Russia National Research Nuclear University MEPhI, Moscow 115409, Russia Mandarano, A. ROR:https://ror.org/043qcb444 ROR:https://ror.org/02s8k0k61 GSSI, Aquila Gran Sasso Gran Sasso Science Institute, L'Aquila 67100, Italy INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Manecki, S. ROR:https://ror.org/04ys6zh37 ROR:https://ror.org/02y72wh86 SNOLAB, Lively Queen's U., Kingston SNOLAB, Lively, ON P3Y 1N2, Canada Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, ON K7L 3N6, Canada Mapelli, L. ROR:https://ror.org/00hx57361 Princeton U. Physics Department, Princeton University, Princeton, NJ 08544, USA Margotti, A. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Bologna, Bologna 40126, Italy Mari, S.M. ROR:https://ror.org/009wnjh50 ROR:https://ror.org/05vf0dg29 INFN, Rome3 Rome III U. INFN Roma Tre, Roma 00146, Italy Mathematics and Physics Department, Università degli Studi Roma Tre, Roma 00146, Italy Mariani, M. ROR:https://ror.org/04w4m6z96 Milan Polytechnic INFN, Milan Energy Department, Politecnico di Milano, Milano 20133, Italy INFN Milano, Milano 20133, Italy Maricic, J. ROR:https://ror.org/01wspgy28 Hawaii U. Department of Physics and Astronomy, University of Hawai'i, Honolulu, HI 96822, USA Marinelli, M. ROR:https://ror.org/0107c5v14 ROR:https://ror.org/02v89pq06 Genoa U. INFN, Genoa Physics Department, Università degli Studi di Genova, Genova 16146, Italy INFN Genova, Genova 16146, Italy Marras, D. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Martínez, M. ROR:https://ror.org/012a91z28 Zaragoza U. ARAID, Zaragoza Centro de Astropartículas y Física de Altas Energías, Universidad de Zaragoza, Zaragoza 50009, Spain ARAID, Fundación Agencia Aragonesa para la Investigación y el Desarrollo, Gobierno de Aragón, Zaragoza 50018, Spain Martinez Rojas, A.D. ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/00bgk9508 INFN, Turin Turin Polytechnic INFN Torino, Torino 10125, Italy Department of Electronics and Communications, Politecnico di Torino, Torino 10129, Italy Mascia, M. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Department of Mechanical, Chemical, and Materials Engineering, Università degli Studi, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy Mason, J. ROR:https://ror.org/02qtvee93 Carleton U. Department of Physics, Carleton University, Ottawa, ON K1S 5B6, Canada Masoni, A. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy McDonald, A.B. ROR:https://ror.org/02y72wh86 Queen's U., Kingston Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, ON K7L 3N6, Canada Messina, A. ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. INFN Sezione di Roma, Roma 00185, Italy Physics Department, Sapienza Università di Roma, Roma 00185, Italy Miletic, T. ROR:https://ror.org/01wspgy28 Hawaii U. Department of Physics and Astronomy, University of Hawai'i, Honolulu, HI 96822, USA Milincic, R. ROR:https://ror.org/01wspgy28 Hawaii U. Department of Physics and Astronomy, University of Hawai'i, Honolulu, HI 96822, USA Moggi, A. ROR:https://ror.org/05symbg58 INFN, Pisa INFN Pisa, Pisa 56127, Italy Moioli, S. ROR:https://ror.org/04w4m6z96 Milan Polytechnic INFN, Milan Chemistry, Materials and Chemical Engineering Department ``G. ~Natta", Politecnico di Milano, Milano 20133, Italy INFN Milano, Milano 20133, Italy Monroe, J. ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham TW20 0EX, UK Morrocchi, M. ROR:https://ror.org/05symbg58 INFN, Pisa INFN Pisa, Pisa 56127, Italy Mroz, T. ROR:https://ror.org/03bqmcz70 Jagiellonian U. M. Smoluchowski Institute of Physics, Jagiellonian University, 30-348 Krakow, Poland Mu, W. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics, ETH Zürich, Zürich 8093, Switzerland Muratova, V.N. ROR:https://ror.org/037styt87 St. Petersburg, INP Saint Petersburg Nuclear Physics Institute, Gatchina 188350, Russia Murphy, S. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics, ETH Zürich, Zürich 8093, Switzerland Muscas, C. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Department of Electrical and Electronic Engineering, Università degli Studi, Cagliari 09023, Italy INFN Cagliari, Cagliari 09042, Italy Musico, P. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Genova, Genova 16146, Italy Nania, R. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Bologna, Bologna 40126, Italy Napolitano, T. ROR:https://ror.org/049jf1a25 Frascati INFN Laboratori Nazionali di Frascati, Frascati 00044, Italy Navrer Agasson, A. Paris U., VI-VII LPNHE, CNRS/IN2P3, Sorbonne Université, Université Paris Diderot, Paris 75252, France Nessi, M. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research 1211 Geneve 23, Switzerland, CERN Nikulin, I. Belgorod State U. Radiation Physics Laboratory, Belgorod National Research University, Belgorod 308007, Russia Nosov, V. ROR:https://ror.org/03e5eem51 ROR:https://ror.org/04t2ss102 Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk 630090, Russia Novosibirsk State University, Novosibirsk 630090, Russia Nowak, J.A. ROR:https://ror.org/04f2nsd36 Lancaster U. Lancaster University, Lancaster LA1 4YW, United Kingdom Oleinik, A. Belgorod State U. Radiation Physics Laboratory, Belgorod National Research University, Belgorod 308007, Russia Oleynikov, V. ROR:https://ror.org/03e5eem51 ROR:https://ror.org/04t2ss102 Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk 630090, Russia Novosibirsk State University, Novosibirsk 630090, Russia Orsini, M. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Ortica, F. ROR:https://ror.org/00x27da85 ROR:https://ror.org/05478fx36 U. Perugia (main) INFN, Perugia Chemistry, Biology and Biotechnology Department, Università degli Studi di Perugia, Perugia 06123, Italy INFN Perugia, Perugia 06123, Italy Pagani, L. ORCID:0000-0002-3469-2581 ROR:https://ror.org/05rrcem69 UC, Davis Department of Physics, University of California, Davis, CA 95616, USA Pallavicini, M. ROR:https://ror.org/0107c5v14 ROR:https://ror.org/02v89pq06 Genoa U. INFN, Genoa Physics Department, Università degli Studi di Genova, Genova 16146, Italy INFN Genova, Genova 16146, Italy Palmas, S. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Department of Mechanical, Chemical, and Materials Engineering, Università degli Studi, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy Pandola, L. ROR:https://ror.org/02k1zhm92 INFN, LNS INFN Laboratori Nazionali del Sud, Catania 95123, Italy Pantic, E. ROR:https://ror.org/05rrcem69 UC, Davis Department of Physics, University of California, Davis, CA 95616, USA Paoloni, E. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Pisa, Pisa 56127, Italy Physics Department, Università degli Studi di Pisa, Pisa 56127, Italy Pazzona, F. ROR:https://ror.org/03prydq77 ROR:https://ror.org/02k1zhm92 Vienna U. INFN, LNS Chemistry and Pharmacy Department, Università degli Studi di Sassari, Sassari 07100, Italy INFN Laboratori Nazionali del Sud, Catania 95123, Italy Peeters, S. ROR:https://ror.org/00ayhx656 Sussex U. Physics and Astronomy, University of Sussex, Brighton BN1 9QH, UK Pegoraro, P.A. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Department of Electrical and Electronic Engineering, Università degli Studi, Cagliari 09023, Italy INFN Cagliari, Cagliari 09042, Italy Pelczar, K. ROR:https://ror.org/03bqmcz70 Jagiellonian U. M. Smoluchowski Institute of Physics, Jagiellonian University, 30-348 Krakow, Poland Pellegrini, L.A. ROR:https://ror.org/04w4m6z96 Milan Polytechnic INFN, Milan Chemistry, Materials and Chemical Engineering Department ``G. ~Natta", Politecnico di Milano, Milano 20133, Italy INFN Milano, Milano 20133, Italy Pellegrino, C. ROR:https://ror.org/04j0x0h93 INFN, Bologna Enrico Fermi Ctr., Rome INFN Bologna, Bologna 40126, Italy Museo della fisica e Centro studi e Ricerche Enrico Fermi, Roma 00184, Italy Pelliccia, N. ROR:https://ror.org/00x27da85 ROR:https://ror.org/05478fx36 U. Perugia (main) INFN, Perugia Chemistry, Biology and Biotechnology Department, Università degli Studi di Perugia, Perugia 06123, Italy INFN Perugia, Perugia 06123, Italy Perotti, F. ROR:https://ror.org/04w4m6z96 Milan Polytechnic INFN, Milan Civil and Environmental Engineering Department, Politecnico di Milano, Milano 20133, Italy INFN Milano, Milano 20133, Italy Pesudo, V. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Picciau, E. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy Pietropaolo, F. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research 1211 Geneve 23, Switzerland, CERN Pocar, A. ROR:https://ror.org/0072zz521 Massachusetts U., Amherst Amherst Center for Fundamental Interactions and Physics Department, University of Massachusetts, Amherst, MA 01003, USA Pollmann, T.R. ROR:https://ror.org/05591te55 Munich U. Physik Department, Technische Universität München, Munich 80333, Germany Portaluppi, D. ROR:https://ror.org/04w4m6z96 Milan Polytechnic INFN, Milan Electronics, Information, and Bioengineering Department, Politecnico di Milano, Milano 20133, Italy INFN Milano, Milano 20133, Italy Poudel, S.S. ROR:https://ror.org/048sx0r50 Houston U. Department of Physics, University of Houston, Houston, TX 77204, USA Pralavorio, P. ROR:https://ror.org/00fw8bp86 Marseille, CPPM Centre de Physique des Particules de Marseille, Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France Price, D. ORCID:0000-0003-2750-9977 ROR:https://ror.org/027m9bs27 Manchester U. The University of Manchester, Manchester M13 9PL, United Kingdom Radics, B. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics, ETH Zürich, Zürich 8093, Switzerland Raffaelli, F. ROR:https://ror.org/05symbg58 INFN, Pisa INFN Pisa, Pisa 56127, Italy Ragusa, F. ROR:https://ror.org/00wjc7c48 ROR:https://ror.org/04w4m6z96 Milan U. INFN, Milan Physics Department, Università degli Studi di Milano, Milano 20133, Italy INFN Milano, Milano 20133, Italy Razeti, M. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Regenfus, C. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics, ETH Zürich, Zürich 8093, Switzerland Renshaw, A.L. ROR:https://ror.org/048sx0r50 Houston U. Department of Physics, University of Houston, Houston, TX 77204, USA Rescia, S. ROR:https://ror.org/02ex6cf31 Brookhaven Brookhaven National Laboratory, Upton, NY 11973, USA Rescigno, M. ROR:https://ror.org/05eva6s33 INFN, Rome INFN Sezione di Roma, Roma 00185, Italy Retiere, F. ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, BC V6T 2A3, Canada Rignanese, L.P. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 U. Bologna, DIFA INFN, Bologna Enrico Fermi Ctr., Rome Physics Department, Università degli Studi di Bologna, Bologna 40126, Italy INFN Bologna, Bologna 40126, Italy Museo della fisica e Centro studi e Ricerche Enrico Fermi, Roma 00184, Italy Ripoli, C. ROR:https://ror.org/0192m2k53 ROR:https://ror.org/043kfae87 Salerno U. INFN, Salerno Physics Department, Universitá degli Studi di Salerno, Salerno 84084, Italy INFN Salerno, Salerno 84084, Italy Rivetti, A. ROR:https://ror.org/01vj6ck58 INFN, Turin INFN Torino, Torino 10125, Italy Rode, J. ROR:https://ror.org/03tnjrr49 APC, Paris Paris U., VI-VII APC, Université Paris Diderot, CNRS/IN2P3, CEA/Irfu, Obs de Paris, USPC, Paris 75205, France LPNHE, CNRS/IN2P3, Sorbonne Université, Université Paris Diderot, Paris 75252, France Romani, A. ROR:https://ror.org/00x27da85 ROR:https://ror.org/05478fx36 U. Perugia (main) INFN, Perugia Chemistry, Biology and Biotechnology Department, Università degli Studi di Perugia, Perugia 06123, Italy INFN Perugia, Perugia 06123, Italy Romero, L. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Rossi, N. ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02s8k0k61 INFN, Rome Gran Sasso INFN Sezione di Roma, Roma 00185, Italy INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Rubbia, A. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics, ETH Zürich, Zürich 8093, Switzerland Sala, P. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research 1211 Geneve 23, Switzerland, CERN Salatino, P. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples Chemical, Materials, and Industrial Production Engineering Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80126, Italy INFN Napoli, Napoli 80126, Italy Samoylov, O. ROR:https://ror.org/044yd9t77 Dubna, JINR Joint Institute for Nuclear Research, Dubna 141980, Russia Sánchez García, E. ORCID:0000-0001-8014-4079 ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Sandford, E. ORCID:0000-0002-0245-8619 ROR:https://ror.org/027m9bs27 Manchester U. The University of Manchester, Manchester M13 9PL, United Kingdom Sanfilippo, S. ORCID:0000-0001-5491-1705 ROR:https://ror.org/05vf0dg29 ROR:https://ror.org/009wnjh50 Rome III U. INFN, Rome3 Mathematics and Physics Department, Università degli Studi Roma Tre, Roma 00146, Italy INFN Roma Tre, Roma 00146, Italy Sant, M. ROR:https://ror.org/03prydq77 ROR:https://ror.org/02k1zhm92 Vienna U. INFN, LNS Chemistry and Pharmacy Department, Università degli Studi di Sassari, Sassari 07100, Italy INFN Laboratori Nazionali del Sud, Catania 95123, Italy Santone, D. ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham TW20 0EX, UK Santorelli, R. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Savarese, C. ROR:https://ror.org/00hx57361 Princeton U. Physics Department, Princeton University, Princeton, NJ 08544, USA Scapparone, E. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Bologna, Bologna 40126, Italy Schlitzer, B. ROR:https://ror.org/05rrcem69 UC, Davis Department of Physics, University of California, Davis, CA 95616, USA Scioli, G. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 U. Bologna, DIFA INFN, Bologna Physics Department, Università degli Studi di Bologna, Bologna 40126, Italy INFN Bologna, Bologna 40126, Italy Segreto, E. ROR:https://ror.org/04wffgt70 Campinas State U. Physics Institute, Universidade Estadual de Campinas, Campinas 13083, Brazil Seifert, A. ROR:https://ror.org/05h992307 PNL, Richland Pacific Northwest National Laboratory, Richland, WA 99352, USA Semenov, D.A. ROR:https://ror.org/037styt87 St. Petersburg, INP Saint Petersburg Nuclear Physics Institute, Gatchina 188350, Russia Shchagin, A. Belgorod State U. Radiation Physics Laboratory, Belgorod National Research University, Belgorod 308007, Russia Sheshukov, A. ROR:https://ror.org/044yd9t77 Dubna, JINR Joint Institute for Nuclear Research, Dubna 141980, Russia Siddhanta, S. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Simeone, M. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples Chemical, Materials, and Industrial Production Engineering Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80126, Italy INFN Napoli, Napoli 80126, Italy Singh, P.N. ROR:https://ror.org/048sx0r50 Houston U. Department of Physics, University of Houston, Houston, TX 77204, USA Skensved, P. ROR:https://ror.org/02y72wh86 Queen's U., Kingston Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, ON K7L 3N6, Canada Skorokhvatov, M.D. ROR:https://ror.org/00n1nz186 ROR:https://ror.org/04w8z7f34 Kurchatov Inst., Moscow Moscow Phys. Eng. Inst. National Research Centre Kurchatov Institute, Moscow 123182, Russia National Research Nuclear University MEPhI, Moscow 115409, Russia Smirnov, O. ROR:https://ror.org/044yd9t77 Dubna, JINR Joint Institute for Nuclear Research, Dubna 141980, Russia Sobrero, G. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Genova, Genova 16146, Italy Sokolov, A. ROR:https://ror.org/03e5eem51 ROR:https://ror.org/04t2ss102 Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk 630090, Russia Novosibirsk State University, Novosibirsk 630090, Russia Sotnikov, A. ORCID:0000-0001-8371-5949 ROR:https://ror.org/044yd9t77 Dubna, JINR Joint Institute for Nuclear Research, Dubna 141980, Russia Stainforth, R. ROR:https://ror.org/02qtvee93 Carleton U. Department of Physics, Carleton University, Ottawa, ON K1S 5B6, Canada Steri, A. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Stracka, S. ROR:https://ror.org/05symbg58 INFN, Pisa INFN Pisa, Pisa 56127, Italy Strickland, V. ROR:https://ror.org/02qtvee93 Carleton U. Department of Physics, Carleton University, Ottawa, ON K1S 5B6, Canada Suffritti, G.B. ROR:https://ror.org/03prydq77 ROR:https://ror.org/02k1zhm92 Vienna U. INFN, LNS Europa Metalli LMI, Florence Chemistry and Pharmacy Department, Università degli Studi di Sassari, Sassari 07100, Italy INFN Laboratori Nazionali del Sud, Catania 95123, Italy Interuniversity Consortium for Science and Technology of Materials, Firenze 50121, Italy Sulis, S. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Department of Electrical and Electronic Engineering, Università degli Studi, Cagliari 09023, Italy INFN Cagliari, Cagliari 09042, Italy Suvorov, Y. ROR:https://ror.org/015kcdd40 ROR:https://ror.org/00n1nz186 Naples U. INFN, Naples Kurchatov Inst., Moscow Physics Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80126, Italy INFN Napoli, Napoli 80126, Italy National Research Centre Kurchatov Institute, Moscow 123182, Russia Szelc, A.M. ROR:https://ror.org/027m9bs27 Manchester U. The University of Manchester, Manchester M13 9PL, United Kingdom Tartaglia, R. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Testera, G. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Genova, Genova 16146, Italy Thorpe, T. ROR:https://ror.org/043qcb444 ROR:https://ror.org/02s8k0k61 GSSI, Aquila Gran Sasso Gran Sasso Science Institute, L'Aquila 67100, Italy INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Tonazzo, A. ROR:https://ror.org/03tnjrr49 APC, Paris APC, Université Paris Diderot, CNRS/IN2P3, CEA/Irfu, Obs de Paris, USPC, Paris 75205, France Tosi, A. ROR:https://ror.org/04w4m6z96 Milan Polytechnic INFN, Milan Electronics, Information, and Bioengineering Department, Politecnico di Milano, Milano 20133, Italy INFN Milano, Milano 20133, Italy Tuveri, M. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Unzhakov, E.V. ROR:https://ror.org/037styt87 St. Petersburg, INP Saint Petersburg Nuclear Physics Institute, Gatchina 188350, Russia Usai, G. ROR:https://ror.org/03paz5966 ROR:https://ror.org/003109y17 INFN, Cagliari Cagliari U. INFN Cagliari, Cagliari 09042, Italy Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy Vacca, A. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Department of Mechanical, Chemical, and Materials Engineering, Università degli Studi, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy Vázquez-Jáuregui, E. ROR:https://ror.org/01tmp8f25 Mexico U. Instituto de Física, Universidad Nacional Autónoma de México (UNAM), México 01000, Mexico Viant, T. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics, ETH Zürich, Zürich 8093, Switzerland Viel, S. ORCID:0000-0001-9554-4059 ROR:https://ror.org/02qtvee93 Carleton U. Department of Physics, Carleton University, Ottawa, ON K1S 5B6, Canada Villa, F. ROR:https://ror.org/04w4m6z96 Milan Polytechnic INFN, Milan Electronics, Information, and Bioengineering Department, Politecnico di Milano, Milano 20133, Italy INFN Milano, Milano 20133, Italy Vishneva, A. ROR:https://ror.org/044yd9t77 Dubna, JINR Joint Institute for Nuclear Research, Dubna 141980, Russia Vogelaar, R.B. ROR:https://ror.org/02smfhw86 Virginia Tech. Virginia Tech, Blacksburg, VA 24061, USA Wahl, J. ROR:https://ror.org/05h992307 PNL, Richland Pacific Northwest National Laboratory, Richland, WA 99352, USA Walding, J.J. ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham TW20 0EX, UK Wang, H. ROR:https://ror.org/046rm7j60 UCLA Physics and Astronomy Department, University of California, Los Angeles, CA 90095, USA Wang, Y. ROR:https://ror.org/046rm7j60 UCLA Physics and Astronomy Department, University of California, Los Angeles, CA 90095, USA Westerdale, S. ORCID:0000-0001-8824-6205 ROR:https://ror.org/02qtvee93 Carleton U. Department of Physics, Carleton University, Ottawa, ON K1S 5B6, Canada Wheadon, R.J. ROR:https://ror.org/01vj6ck58 INFN, Turin INFN Torino, Torino 10125, Italy Williams, R. ROR:https://ror.org/05h992307 PNL, Richland Pacific Northwest National Laboratory, Richland, WA 99352, USA Wilson, J. ROR:https://ror.org/003dfhs04 Orsay, IPN Institut de Physique Nuclèaire d'Orsay, 91406, Orsay, France Wojcik, Marcin ROR:https://ror.org/03bqmcz70 Jagiellonian U. M. Smoluchowski Institute of Physics, Jagiellonian University, 30-348 Krakow, Poland Wojcik, Mariusz ROR:https://ror.org/00s8fpf52 Lodz, Tech. U. Institute of Applied Radiation Chemistry, Lodz University of Technology, 93-590 Lodz, Poland Wu, S. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics, ETH Zürich, Zürich 8093, Switzerland Xiao, X. ROR:https://ror.org/046rm7j60 UCLA Physics and Astronomy Department, University of California, Los Angeles, CA 90095, USA Yang, C. ROR:https://ror.org/03v8tnc06 Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Beijing 100049, China Ye, Z. ROR:https://ror.org/048sx0r50 Houston U. Department of Physics, University of Houston, Houston, TX 77204, USA Zuffa, M. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Bologna, Bologna 40126, Italy Zuzel, G. ROR:https://ror.org/03bqmcz70 Jagiellonian U. M. Smoluchowski Institute of Physics, Jagiellonian University, 30-348 Krakow, Poland DarkSide Collaboration 153 2 Eur. Phys. J. C 81 2021 https://lss.fnal.gov/archive/2020/pub/fermilab-pub-20-155-ppd.pdf Fermilab Library Server (fulltext available) 1768252 2409870 http://cds.cern.ch/record/2715407/files/fermilab-pub-20-155-ppd.pdf Fulltext 2208739 9904 http://cds.cern.ch/record/2715407/files/Fig4b.png 00004 : width=0.4\columnwidth : Two alternative concepts of SiPM-matrix readout of two-phase argon detectors with EL gap proposed elsewhere \cite{Buzulutskov2011,Buzulutskov2018} and experimentally studied in the present work: that of SiPM matrix directly coupled to EL gap (``direct SiPM-matrix readout'') (left) and that of combined THGEM/SiPM-matrix multiplier coupled to EL gap (``THGEM/SiPM-matrix readout'') (right) 2208740 9310 http://cds.cern.ch/record/2715407/files/Fig4a.png 00003 : width=0.4\columnwidth 2208741 20948 http://cds.cern.ch/record/2715407/files/Fig18.png 00020 Direct SiPM-matrix readout: true coordinate of interaction point $x_{0}$ as a function of reconstructed coordinate $x_{sim}$ (black dots), the latter obtained using MC simulation with experimental $LRF$, and fit of this dependence by polynomial function (red curve). For comparison, the dependence $x_0 = x_{sim}$ is shown (blue dotted line) 2208742 2553906 http://cds.cern.ch/record/2715407/files/2004.02024.pdf Fulltext 2208743 12472 http://cds.cern.ch/record/2715407/files/Fig14.png 00015 THGEM/SiPM-matrix readout: amplitude spectrum of the total SiPM-matrix signal obtained with $^{109}$Cd source, at THGEM1 charge gain of 37 2208744 14590 http://cds.cern.ch/record/2715407/files/Fig15.png 00016 : width=0.6\columnwidth 2208745 56126 http://cds.cern.ch/record/2715407/files/Fig16.png 00017 Direct SiPM-matrix readout: the averaged distribution of photoelectrons over the SiPM-matrix channels in x,y plane for ``central'' events, in which the distribution maximum hits the central channel. The data were obtained at the maximum reduced EL field, of 8.4~Td, when the detector was irradiated by pulsed X-rays 2208746 15486 http://cds.cern.ch/record/2715407/files/Fig10.png 00011 Direct SiPM-matrix readout: amplitude spectrum of the total 3PMT+WLS signal obtained with $^{109}$Cd source for the maximum field in the EL gap. The higher energy peak, corresponding to 60-88~keV gamma-rays, is hatched 2208747 24557 http://cds.cern.ch/record/2715407/files/Fig11.png 00012 Direct SiPM-matrix readout: correlation between the amplitude of the total SiPM-matrix and 3PMT+WLS signals 2208748 13871 http://cds.cern.ch/record/2715407/files/Fig12.png 00013 : width=0.65\columnwidth 2208749 10521 http://cds.cern.ch/record/2715407/files/Fig13.png 00014 THGEM/SiPM-matrix readout: charge gain of the THGEM1 multiplier as a function of the THGEM1 voltage, at fixed electric fields in the drift and EL regions 2208750 1316120 http://cds.cern.ch/record/2715407/files/Fig5b.png 00005 : 2208751 1337125 http://cds.cern.ch/record/2715407/files/Fig5c.png 00006 : Photographs of SiPM matrices progressively developed in this work. \subref{image:fig_5x5el_CPTA_2x2mm2}: 5$\times$5 SiPM matrix made from MRS APD 149-35 (CPTA) with an active area of 2.1$\times$2.1~mm$^2$. \subref{image:fig_5x5el_Ham_3x3mm2}: 5$\times$5 SiPM matrix made from MPPC S10931-100P (Hamamatsu) with an active area of 3$\times$3~mm$^2$. \subref{image:fig_SiPM_11x11_matrix_photo}: 11$\times$11 SiPM matrix made from MPPC S13360-6050PE (Hamamatsu) with an active area of 6$\times$6~mm$^2$. Everywhere the SiPM channel pitch is 1~cm 2208752 31644 http://cds.cern.ch/record/2715407/files/Fig20b.png 00023 : width=0.5\columnwidth : Direct SiPM-matrix readout: projections of the 2D distribution presented in Figure~\ref{image:fig_171123_coorg_2Dgr_xray_2mm_MC_20kV} on $x$ and $y$ axes. Also shown are the fit of the $x_{exp}$ and $y_{exp}$ distributions (red curves) and the expected $x_{0}$ and $y_{0}$ distributions of the true coordinates of the interaction region (blue dotted curves), defined by the positions of the X-ray tube and collimator and by the X-ray range in liquid Ar. Note that here the signal is produced by several X-ray photons in a pulse, with the average energy of 25 keV, absorbed in a thin (3 mm) liquid Ar layer near the cathode 2208753 31858 http://cds.cern.ch/record/2715407/files/Fig20a.png 00022 : width=0.5\columnwidth 2208754 20537 http://cds.cern.ch/record/2715407/files/Fig19.png 00021 Direct SiPM-matrix readout: 2D coordinate distribution of reconstructed events in $x_{exp}$, $y_{exp}$ plane. The solid boxes are the active SiPMs and the dashed box is the passive SiPM (the photoelectron number in which was determined as the average of two adjacent channels). The data were obtained at the maximum reduced EL field, of 8.4~Td, when the detector was irradiated by pulsed X-rays through a 2~mm collimator 2208755 14427 http://cds.cern.ch/record/2715407/files/Fig21.png 00024 Direct SiPM-matrix readout: amplitude spectrum of the total SiPM-matrix signal obtained with pulsed X-rays and 2 mm collimator. Red curve is fit by Gauss function. The data were obtained at the maximum reduced EL field, of 8.4~Td 2208756 18233 http://cds.cern.ch/record/2715407/files/Fig22.png 00025 Summary of position resolution results obtained in the two-phase detector for the direct SiPM-matrix and THGEM/SiPM-matrix readout. Shown is the position resolution (standard deviation) as a function of the total number of photoelectrons recorded by the SiPM matrix. Red curve is the fit by inverse root function using all data points 2208757 11736 http://cds.cern.ch/record/2715407/files/Fig17a.png 00018 : width=0.5\columnwidth 2208758 11698 http://cds.cern.ch/record/2715407/files/Fig17b.png 00019 : width=0.5\columnwidth : Direct SiPM-matrix readout: 2D cross-section of Figure~\ref{image:fig_171123_PE_distr_xray_2mm_20kV} at $y$ = 0 (left) and $x$ = 0 (right) 2208759 13031 http://cds.cern.ch/record/2715407/files/Fig6.png 00007 Gain-voltage characteristics of different SiPM types at 87~K 2208760 11772 http://cds.cern.ch/record/2715407/files/Fig7.png 00008 Noise rates of different SiPM types as a function of the bias voltage at 87~K 2208761 31480 http://cds.cern.ch/record/2715407/files/Fig2.png 00001 Summary of experimental data on reduced EL yield in argon for all known electroluminescence (EL) mechanisms: for NBrS EL at wavelengths of 0-1000 nm, measured in~\cite{Bondar2019} at 87~K; for ordinary EL in the VUV, going via Ar$^*$(3p$^5$4s$^1$), measured in~\cite{Bondar2019} at 87~K and in~\cite{Monteiro2008} at 293~K; for EL in the NIR going via Ar$^*$(3p$^5$4p$^1$), measured in~\cite{Buzulutskov2011} at 163~K 2208762 22072 http://cds.cern.ch/record/2715407/files/Fig3.png 00002 ``Standard'' concept of SiPM matrix readout of two-phase argon detectors with EL gap 2208763 15844 http://cds.cern.ch/record/2715407/files/Fig1.png 00000 Photon emission spectra in gaseous Ar due to ordinary scintillations in the VUV measured in \cite{Morozov2008}, NBrS electroluminescence at 8.3~Td theoretically calculated in \cite{Buzulutskov2018} and avalanche scintillations in the NIR measured in \cite{Lindblom1988,Fraga2000}. Also shown are the Photon Detection Efficiency (PDE) of SiPM (MPPC 13360-6050PE~\cite{hamamatsu}) at overvoltage of 5.6~V obtained from~\cite{Otte2017} using the PDE voltage dependence and the transmittance of the acrylic plate (1.5~mm thick) in front of the SiPM matrix, used in this study 2208764 39623 http://cds.cern.ch/record/2715407/files/Fig8.png 00009 Schematic view of the experimental setup. The electric fields lines in the TPC were presented elsewhere \cite{Bondar2019_field_sim} 2208765 13821 http://cds.cern.ch/record/2715407/files/Fig9.png 00010 Direct SiPM-matrix readout: amplitude spectrum of the total SiPM-matrix signal obtained with $^{109}$Cd source. The hatched area corresponds to the higher energy peak of the 3PMT+WLS signals (see Figure~\ref{image:fig_171123_3PMT_Cd_and_Bkg_Npe_spec_6mm_20kV}) 2334513 1879932 http://cds.cern.ch/record/2715407/files/scoap.pdf Article from SCOAP3 2470975 15373 http://cds.cern.ch/record/2715407/files/w8_Fig6.png 00008 Gain-voltage characteristics of different SiPM types at 87~K 2470976 29142 http://cds.cern.ch/record/2715407/files/w22_Fig19.png 00022 Direct SiPM-matrix readout: 2D coordinate distribution of reconstructed events in $x_0(x_{exp})$, $y_0(y_{exp})$ plane. The solid boxes are the active SiPMs and the dashed box is the inactive SiPM (the photoelectron number in which was determined as the average of two adjacent channels). The data were obtained at the maximum reduced EL field, of 8.4~Td, when the detector was irradiated by pulsed X-rays through a 2~mm collimator 2470977 19206 http://cds.cern.ch/record/2715407/files/w16_Fig14.png 00016 THGEM/SiPM-matrix readout: amplitude spectrum of the total SiPM-matrix signal obtained with $^{109}$Cd source, at THGEM1 charge gain of 37 2470978 12863 http://cds.cern.ch/record/2715407/files/w15_Fig13.png 00015 THGEM/SiPM-matrix readout: charge gain of the THGEM1 multiplier as a function of the voltage across it, at fixed electric fields in the drift and EL regions 2470979 16213 http://cds.cern.ch/record/2715407/files/w14_Fig12.png 00014 : width=0.65\columnwidth 2470980 23309 http://cds.cern.ch/record/2715407/files/w2_Fig3.png 00002 ``Standard'' concept of SiPM-matrix readout of two-phase argon detectors with an EL gap 2470981 14725 http://cds.cern.ch/record/2715407/files/w9_Fig7.png 00009 Dark count rates of different SiPM types as a function of the bias voltage at 87~K 2470982 870414 http://cds.cern.ch/record/2715407/files/w7_Fig5c.png 00007 : Photographs of SiPM matrices progressively developed in this work. \subref{image:fig_5x5el_CPTA_2x2mm2} 5$\times$5 SiPM matrix made from MRS APD 149-35 (CPTA) with an active area of 2.1$\times$2.1~mm$^2$. \subref{image:fig_5x5el_Ham_3x3mm2} 5$\times$5 SiPM matrix made from MPPC S10931-100P (Hamamatsu) with an active area of 3$\times$3~mm$^2$. \subref{image:fig_SiPM_11x11_matrix_photo} 11$\times$11 SiPM matrix made from MPPC S13360-6050PE (Hamamatsu) with an active area of 6$\times$6~mm$^2$. The SiPM channel pitch is 1~cm in all cases : Caption not extracted 2470983 690947 http://cds.cern.ch/record/2715407/files/w5_Fig5a.png 00005 : 2470984 10076 http://cds.cern.ch/record/2715407/files/w4_Fig4b.png 00004 : width=0.4\columnwidth : Two alternative concepts of SiPM-matrix readout of two-phase argon detectors with EL gap proposed elsewhere \cite{Buzulutskov2011,Buzulutskov2018} and experimentally studied in the present work: that of SiPM matrix directly coupled to EL gap (``direct SiPM-matrix readout'') (left) and that of combined THGEM/SiPM-matrix multiplier coupled to EL gap (``THGEM/SiPM-matrix readout'') (right) 2470985 16769 http://cds.cern.ch/record/2715407/files/w25_Fig21.png 00025 Direct SiPM-matrix readout: amplitude spectrum of the total SiPM-matrix signal obtained with pulsed X-rays and 2 mm collimator. Red curve is fit by Gauss function. The data were obtained at the maximum reduced EL field, of 8.4~Td 2470986 34269 http://cds.cern.ch/record/2715407/files/w24_Fig20b.png 00024 : width=0.45\columnwidth : Direct SiPM-matrix readout: projections of the 2D distribution presented in Figure~\ref{image:fig_171123_coorg_2Dgr_xray_2mm_MC_20kV} on $x$ and $y$ axes. Also shown are the fit of the $x_0(x_{exp})$ and $y_0(y_{exp})$ distributions (red curves) and the expected distributions of the true coordinates of the interaction region (blue dotted curves), defined by the positions of the X-ray tube and collimator and by the X-ray range in liquid Ar. Note that here the signal is produced by several X-ray photons in a pulse, with the average energy of 25 keV, absorbed in a thin (3 mm) liquid Ar layer near the cathode 2470987 38426 http://cds.cern.ch/record/2715407/files/w18_Fig16.png 00018 Direct SiPM-matrix readout: the averaged distribution of photoelectrons over the SiPM-matrix channels in x,y plane for ``central'' events, in which the distribution's maximum is at the central channel. The data were obtained at the maximum reduced EL field, of 8.4~Td, when the detector was irradiated by pulsed X-rays 2470988 1202478 http://cds.cern.ch/record/2715407/files/w6_Fig5b.png 00006 : 2470989 10546 http://cds.cern.ch/record/2715407/files/w3_Fig4a.png 00003 : width=0.4\columnwidth 2470990 34455 http://cds.cern.ch/record/2715407/files/w23_Fig20a.png 00023 : width=0.45\columnwidth 2470991 33822 http://cds.cern.ch/record/2715407/files/w1_Fig2.png 00001 Summary of experimental data on the reduced EL yield in argon for all known electroluminescence (EL) mechanisms: for NBrS EL at wavelengths of 0-1000 nm, measured in~\cite{Bondar2019} at 87~K; for ordinary EL in the VUV, going via Ar$^*$(3p$^5$4s$^1$), measured in~\cite{Bondar2019} at 87~K and in~\cite{Monteiro2008} at 293~K; for EL in the NIR going via Ar$^*$(3p$^5$4p$^1$), measured in~\cite{Buzulutskov2011} at 163~K 2470992 20575 http://cds.cern.ch/record/2715407/files/w26_Fig22.png 00026 Summary of position resolution results obtained in the two-phase detector for the direct SiPM-matrix and THGEM/SiPM-matrix readout. Shown is the position resolution (standard deviation) as a function of the total number of photoelectrons recorded by the SiPM matrix. Red curve is the fit by inverse root function using all data points 2470993 21704 http://cds.cern.ch/record/2715407/files/w11_Fig9.png 00011 Direct SiPM-matrix readout: amplitude spectrum of the total SiPM-matrix signal obtained with $^{109}$Cd source. The hatched area corresponds to the higher energy peak of the 3PMT+WLS signals (see Figure~\ref{image:fig_171123_3PMT_Cd_and_Bkg_Npe_spec_6mm_20kV}) 2470994 16924 http://cds.cern.ch/record/2715407/files/w0_Fig1.png 00000 Photon emission spectra in gaseous Ar due to ordinary scintillations in the VUV measured in \cite{Morozov2008}, NBrS electroluminescence at 8.3~Td theoretically calculated in \cite{Buzulutskov2018} and avalanche scintillations in the NIR measured in \cite{Lindblom1988,Fraga2000}. Also shown are the photon detection efficiency (PDE) of the SiPMs (MPPC 13360-6050PE~\cite{hamamatsu}) at an overvoltage of 5.6~V obtained from~\cite{Otte2017} and the transmittance of the acrylic plate (1.5~mm thick) in front of the SiPM matrix, used in this study 2470995 24011 http://cds.cern.ch/record/2715407/files/w17_Fig15.png 00017 : width=0.6\columnwidth 2470996 23290 http://cds.cern.ch/record/2715407/files/w21_Fig18.png 00021 Direct SiPM-matrix readout: true coordinate of interaction point $x_{0}$ as a function of reconstructed coordinate $x_{sim}$ (black dots), the latter obtained using MC simulation with the experimental $LRF$, and a fit of this dependence by polynomial function (red curve). For comparison, the dependence $x_0 = x_{sim}$ is shown (blue dotted line) 2470997 18389 http://cds.cern.ch/record/2715407/files/w20_Fig17b.png 00020 : width=0.45\columnwidth : Direct SiPM-matrix readout: 2D cross-section of Figure~\ref{image:fig_171123_PE_distr_xray_2mm_20kV} at $y$ = 0 (left) and $x$ = 0 (right) 2470998 18383 http://cds.cern.ch/record/2715407/files/w19_Fig17a.png 00019 : width=0.45\columnwidth 2470999 19853 http://cds.cern.ch/record/2715407/files/w13_Fig11.png 00013 Direct SiPM-matrix readout: correlation between the amplitude of the total SiPM-matrix and 3PMT+WLS signals 2471000 23793 http://cds.cern.ch/record/2715407/files/w12_Fig10.png 00012 Direct SiPM-matrix readout: amplitude spectrum of the total 3PMT+WLS signal obtained with $^{109}$Cd source for the maximum field in the EL gap. The higher energy peak, corresponding to 59-88~keV gamma-rays, is hatched 2471001 36689 http://cds.cern.ch/record/2715407/files/w10_Fig8.png 00010 Schematic view of the experimental setup. The electric fields lines in the TPC were presented elsewhere \cite{Bondar2019_field_sim} 2277822 1879932 http://cds.cern.ch/record/2715407/files/scoap3-fulltext.pdf?subformat=pdfa pdfa Article from SCOAP3 13 ARTICLE 2718199 SzGeCERN 20200525234412.0 DOI SISSA 10.22323/1.370.0150 oai:inspirehep.net:1792976 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://old.inspirehep.net/oai2d 2020-05-16T04:00:10Z marcxml oai:inspirehep.net:1792976 2020-05-15T18:39:05Z Inspire 1792976 eng Travaglini, Riccardo INFN, Bologna SISSA A multi-channel trigger and acquisition board for TDC-based readout: application to the cosmic rays detector of the PolarQuEEEst 2018 project. SISSA 2020 5 p SISSA In the summer of 2018, the PolarQuEEEst experiment accomplished a measurement of cosmic rays flux in the Arctic. The detector, installed on a sailboat, was based on scintillation tiles read by a total of 16 SiPM. A multi-channel board (called TRB) has been designed to process the discriminated SiPM signals providing both self-trigger capability and time-to-digital conversion; it was based on a Cyclone-V Intel FPGA. Time-to-digital conversion has been implemented both into FPGA and with the HPTDC chip (as a backup). In this document the board will be described, enlightening the main features and the achieved performance. Lastly, the PolarQuEEEst measurement campaigns will be briefly described, showing how the TRB board has proved to be effective for experiments which require low power consumption, integration with position and environmental sensors and great portability as well. Final thoughts on future improvements will be also discussed. publication CC-BY-NC-ND-4.0 SISSA https://creativecommons.org/licenses/by-nc-nd/4.0/ The Author(s) publication 2018 SzGeCERN Detectors and Experimental Techniques CERN EEE POLAR Balbi, G INFN, Bologna Cavazza, D INFN, Bologna Falchieri, D INFN, Bologna Garbini, M Enrico Fermi Ctr., Rome INFN, Bologna Gnesi, I Enrico Fermi Ctr., Rome INFN, Turin Lombardo, L Polytech. Turin Mazziotta, M N Enrico Fermi Ctr., Rome INFN, Bari Meneghini, S INFN, Bologna Noferini, F Enrico Fermi Ctr., Rome INFN, Bologna Pellegrino, C Enrico Fermi Ctr., Rome Pinazza, O INFN, Bologna Torromeo, G INFN, Bologna Veri, C INFN, Bologna Eee Collaboration 1792847 150 C19-09-02.8 2020 PoS TWEPP2019 2015404 5429786 http://cds.cern.ch/record/2718199/files/TWEPP2019_150.pdf Fulltext from publisher 2015404 10856 http://cds.cern.ch/record/2718199/files/TWEPP2019_150.gif?subformat=icon icon Fulltext from publisher 2015404 138204 http://cds.cern.ch/record/2718199/files/TWEPP2019_150.jpg?subformat=icon-700 icon-700 Fulltext from publisher 2015404 16113 http://cds.cern.ch/record/2718199/files/TWEPP2019_150.jpg?subformat=icon-180 icon-180 Fulltext from publisher 13 2681428 santiago de compostela20190902 150 ARTICLE ConferencePaper 2717279 SzGeCERN 20210422083043.0 9789811504228 electronic version electronic version print version 9789811504211 print version 9789811504235 print version 9789811504242 DOI 10.1007/978-981-15-0422-8 e-proceedings oai:cds.cern.ch:2717279 cerncds:CONF eng QA299.6-433 515 23 20180109 International Conference on Mathematical Analysis and Application in Modeling Kolkata, India 9 - 12 Jan 2018 2018 kolkata20180109 IN ICMAAM 2018 20180112 Singapore Springer 2020 ebook Springer proceedings in mathematics & statistics 2194-1009 302 E. V. Grigorieva and E. N. Khailov, Optimal Strategies of the Psoriasis Treatment by Suppressing the Interaction Between T-Limphocytes and Dendritic Cells -- I. Schreiber, V. Radojkovic, F. Muzika, R. Jurašek and L. Schreiberová, The use of reaction network theory for finding network motifs in oscillatory mechanisms and kinetic parameter estimation -- G. M. N'Guerekata, An existence result for some fractional Evolution equation with nonlocal conditions and compact resolvent operator -- M. Ghosh, Impact of Tobacco Smoking on the Prevalence of Tuberculosis Infection: a Mathematical Study -- S. G. Mosher, C. Costris-Vas and R. Smith, Modelling the Effects of Stigma on Leprosy -- U. Forys, One simple model { various complex systems -- Km. Meenakshi and S.B. Singh, Reliability Analysis of Multi-State Two-Dimensional System by Universal Generating Function -- D. Goswami, Quantum Symmetry of Classical Spaces -- P. Sankaran, Quasi-isometry and rigidity -- V. Kannan, Existence of Compositional Square-Roots of Functions -- E. Savas, On generalized statistical convergence and strongly summable functions of weight g -- P. Das, On I- Statistically Order Pre Cauchy Sequences in Riesz Spaces -- S. Basu, On Ball dentable property in Banach Spaces -- S. Gorai, Some observations concerning polynomial convexity -- D. K. Roy and B. Datta, Solution of large-scale multi-objective optimization mod-els for saltwater intrusion control in coastal aquifers uti-lizing ANFIS based linked meta-models for computa-tional feasibility and efficiency -- M De, G Das, and K K Mandal, Cost driven optimization of microgrid under environmental uncertainties using different improved PSO models -- M.Chowdhury and P.Das, Global exponential stability of non-autonomous Cellular Neural network model with time varying delays -- S. S. Roy, Topological Configuration in the Heisenberg Spin Sequence and DNA -- S. Sinha, A. Banerjee, N. Rakshit, and S. Ray, Modelling Studies focusing on Microphytobenthos and its role in Benthic-Pelagic Coupling -- S. Das, S. Adhurya, and S. Ray, Overview of Ecological Economics and Ecosystem Services Consequences from Shrimp Culture -- N. Rakshit, A. Banerjee, S. Sinha, and S. Ray, Recent trends of Ecosystem health and biodiversity status of pelagic-benthic coupled system in Indian estuaries with special emphasis on Hooghly estuary, India -- S. Adhurya, S. Das, and S. Ray, Guanotrophication by Waterbirds in Freshwater Lakes: A Review on Ecosystem Perspective -- Z. Yuxuan, Z. Yanhui, Lu Xiaohua, On the Volatility of High Frequency Stock Index Based on SV Model of MCMC -- L. N. Guin, The effects of unequal diffusion coefficients on spatiotemporal pattern formation in prey harvested reaction-diffusion systems -- B.C. Giri, R. Bhattacharjee and T. Maiti, Optimal pricing strategy in a two-echelon supply chain with admissible advanced and delayed payment -- D. Mukherjeea, L. N. Guina, S. Chakravartya, Studies on Atherosclerotic Plaque Formation: A Mathematical Approach -- Y. Zhou, Threshold of a stochastic delayed SIR epidemic model with saturation incidence -- P. Mondal and S. Sinha, Semi-stationary Equilibrium Strategies in Non-cooperative N-person Semi-Markov Games -- D. Dubey, S. K. Neogy and S. Sinha, Max Plus Algebra, Optimization and Game Theory -- F. Al Basir, Dynamics of infectious diseases with periodic awareness campaigns -- B. Samanta, B.C. Giri and K.S. Chaudhuri, A vendor-buyer supply chain model for deteriorating item with quadratic time-varying demand and pro-rata warranty policy -- A. Sengupta, J. Chowdhury, Xue-Zhi Li and P. K. Roy, Pest Control of Jatropha curcas Plant for Different Response Functions -- Y.X. Dangy, Global dynamics of a TB model with classes age structure and environmental transmission -- S. Chakraborty -- Gravitational waves : The Mathematical Background -- J. D. Ferreiraa, V. S. Hari Rao, Current trends in the bifurcation methods of solutions of real world dynamical systems -- S. K. Chakraborty and G. Panda, A modified coordinate search method based on axes rotation. This book collects select papers presented at the “International Conference on Mathematical Analysis and Application in Modeling,” held at Jadavpur University, Kolkata, India, on 9–12 January 2018. It discusses new results in cutting-edge areas of several branches of mathematics and applications, including analysis, topology, dynamical systems (nonlinear, topological), mathematical modeling, optimization and mathematical biology. The conference has emerged as a powerful forum, bringing together leading academics, industry experts and researchers, and offering them a venue to discuss, interact and collaborate in order to stimulate the advancement of mathematics and its industrial applications. . Mathematics and statistics SPR202004 SzGeCERN Mathematical Physics and Mathematics SPR Mathematical analysis SPR Analysis (Mathematics) SPR Mathematical models SPR Analysis SPR Mathematical Modeling and Industrial Mathematics PROCEEDINGS CONFERENCE Roy, Priti ed. Cao, Xianbing ed. Li, Xue-Zhi ed. Das, Pratulananda ed. Deo, Satya ed. ICMAAM 2018 Acronym SPR n 202018 202004 42 PUBLIC https://catalogue.library.cern/legacy/2717279 PROCEEDINGS MIGRATED 2717238 SzGeCERN 20210422083054.0 9789402419092 electronic version electronic version 9789402419085 print version 9789402419108 print version 9789402419115 print version DOI 10.1007/978-94-024-1909-2 e-proceedings oai:cds.cern.ch:2717238 cerncds:CONF eng TA169.7 T55-55.3 23 621.389 20180504 NATO Advanced Research workshop on Functional Nanostructures and Sensors for CBRN Defence and Environmental Safety and Security Chisinau, Moldova 4 - 17 May 2018 2018 chisinau20180504 MD 20180517 Dordrecht Springer 2020 ebook NATO science for peace and security series. C, environmental security 1874-6519 Printing as a technique for sensors with integrated electronics -- Development of policy and strategy of the nanomaterials for environmental safety/security by radioactive/nuclear agents at critical infrastructure facilities in Albania -- Boron10 isotope based neutron radiation semiconductor sensors -- Transmission of two measuring signals by an invariant property of three wire communication lines -- IR-sensors and detectors of irradiation based on metal foils -- Magnetoelectric effect driven by reversible surface chemistry and bulk ion-exchange -- Antiferromagnetic-to-ferromagnetic transition in FeRh thin films with strain induced nanostructure -- Thermally and stress induced phase transformations and reversibility in shape memory alloys -- The toxic effect of trifluralin on soil microorganisms in the presence of Fe0 /PVP nanoparticles -- Management of ransomware detection and prevention in multilevel environmental monitoring information system -- Organization of assistance to victims of a thermal trauma during the pre-hospital and hospital stages in the event of a terrorist attack -- Frequency transducers of gas concentration based on transistor structures with negative differential resistance -- Chemical and biological defense in the south-eastern European countries -- Smart surface with ferromagnetic properties for eco- and bioanalytics -- Planning For Groundwater Protection: monitoring Systems & Data Requirements -- The synergy between cyber and nuclear security. Case study of Moldova -- Microbially-mediated decontamination of CBRN agents on land and infrastructure using biocementation -- Point-contact sensors as an innovative tool in defense against chemical agents, environment and health risks: a review -- New method of optical spectroscopy for environmental protection and safety -- Smart and connected sensors network for water contamination monitoring and situational awareness. Over the last decade, techniques for materials preparation and processing at nanometer scale have advanced rapidly, leading to the introduction of novel principles for a new generation of sensors and detectors. At the same time, the chemical industry, transport and agriculture produce huge amounts of dangerous waste gases and liquids, leading to soil, air and water contamination. One more modern threat - international terrorism - demands that scientists make efforts to apply new principles and technologies to protect society against chemical, biological, radiological and nuclear (CBRN) attacks and to develop novel effective technologies for the remediation of large contaminated areas. Accordingly, the main goal of this book is to bring together experts (theorists, experimentalists, engineers and technologists) for an extensive discussion covering: novel principles for functional nanostructures and detector fabrication and implementation, the development of novel technologies for the deactivation of CBRN agents, their experimental realization and their application in novel monitoring and control systems, and technological processes for soil and water remediation, with a view to environmental protection and defence against CBRN-based terrorism. In keeping with the book’s main goal, the following topics are highlighted and discussed: - Sensors and detectors - detection of chemicals, principles of “artificial nose” and chemical “micro-lab on a chip” design, surface and underground water quality monitoring systems, molecular electronics, superconducting electronic devices, quantum detectors and Qubits. - Environmental protection and CBRN - detection of infrared, microwave, X-ray and terahertz radiation. Principles for novel IR-, UV-, and Terahertz-wave devices for the detection of low-contrast objects. - Novel technological processes for CBRN destruction and deactivation. All these topics are strongly interrelated, both with regard to fundamental aspects and to fabrication and implementation technologies; in addition, they are highly promising for application in novel functional devices, computer logics, sensing and detection of low-concentration chemicals, weak and extremely weak magnetic and microwave fields, infrared and ultraviolet radiation. Given its scope, the book will be a useful and interesting guide for a broad readership of engineers, scientists, PhD students and experts in the area of defence against environmental terrorism. Physics and astronomy SPR202004 SzGeCERN Engineering SPR System safety SPR Environmental monitoring SPR Security Science and Technology SPR MonitoringEnvironmental Analysis PROCEEDINGS CONFERENCE Sidorenko, Anatolie ed. Hahn, Horst ed. 202004 SPR n 202018 42 PUBLIC https://catalogue.library.cern/legacy/2717238 PROCEEDINGS MIGRATED 2717232 SzGeCERN 20210421200759.0 9783030352608 electronic version electronic version print version 9783030352592 print version 9783030352615 print version 9783030352622 DOI 10.1007/978-3-030-35260-8 ebook oai:cds.cern.ch:2717232 cerncds:BOOK eng QA276-280 519.5 23 Statistical methods for global health and epidemiology principles, methods and applications Cham Springer 2020 ebook ICSA book series in statistics 2199-0980 Existent Data Sources for Global Health and Epidemiology -- Satellite Imagery Data for Global Health and Epidemiology -- GIS/GPS-Assisted Probability Sampling in Resource-Limited Settings -- Construal-Level Theory Supported Methods for Sensitive Topics: Applications in Three Different Populations -- Integrative Data Analysis and Application in Global Health -- Introduction to Privacy-Preserving Data Collection and Sharing Methods for Global Health Research -- Geographic Mapping for Global Health Research -- A 4D-Indicator System of Count, P Rate, G Rate and PG Rate for Epidemiology and Global Health -- Historical Trends in Mortality Risk over a 100-Year Period in China with Recent Data-An Innovative Application of APC Modeling -- Moore-Penrose Generalized-Inverse Solution to APC Modeling for Historical Epidemiology and Global Health -- Mixed Effects Modeling of Multi-Site Data-Health Behaviors among Adolescents in Hong Kong, Macao, Taipei, Wuhan and Zhuhai -- Geographically Weighted Regression for Global Epidemiological Research -- Bayesian Spatial-Temporal Disease Modeling With Application to Malaria -- "Efficient Biosurveillance By A Statistical Process Control Chart Using Covariates" -- Cusp Catastrophe Regression Analysis of Testosterone in Bifurcating the Age-Related Changes in PSA, a Biomarker for Prostate Cancer -- Logistic Cusp Catastrophe Regression for Binary Outcome: Method Development and Empirical Testing. This book examines statistical methods and models used in the fields of global health and epidemiology. It includes methods such as innovative probability sampling, data harmonization and encryption, and advanced descriptive, analytical and monitory methods. Program codes using R are included as well as real data examples. Contemporary global health involves a myriad of medical and health challenges, including inequality of treatment, the HIV/AIDS epidemic and its subsequent control, the flu, tobacco control, drug use, and environmental pollution. In addition to its vast scales and telescopic perspective, addressing global health concerns often involves examining resource-limited populations with large geographic, socioeconomic diversities. Therefore, advancing global health requires new epidemiological design, new data, and new methods for sampling, data processing, and statistical analysis. This book provides global health researchers with methods that will enable access to and utilization of existing data. Featuring contributions from both epidemiological and biostatistical scholars, this book is a practical resource for researchers, practitioners, and students in solving global health problems in research, education, training, and consultation. Mathematics and statistics SPR202004 SzGeCERN Mathematical Physics and Mathematics SPR Epidemiology BOOK Chen, Xinguang ed. Chen, (Din) ed. SPR n 202018 202004 21 PUBLIC https://catalogue.library.cern/legacy/2717232 BOOK MIGRATED 2717221 SzGeCERN 20210421200800.0 9783030340612 electronic version electronic version print version 9783030340605 print version 9783030340629 print version 9783030340636 DOI 10.1007/978-3-030-34061-2 ebook oai:cds.cern.ch:2717221 cerncds:BOOK eng D1-DX301 509 23 The history of water management in the Iberian peninsula between the 16th and 19th centuries Cham Springer 2020 ebook Trends in the history of science 2297-2951 The Thirsty but Educated Iberian Peninsula. As a Means of Introduction -- The Water Supply and Sewage Networks in Sixteenth-century Lisbon: Drawing the Renaissance City -- Toledo: The Thirsty City -- Water Supply Management in Seville, 1248-1800 -- Water for Madrid: The Problems of Water Supply in a Pre-Industrial Capital -- Thirsting for Efficiency: Technological and Transaction-Cost Explanations for the Municipalisation of Water Supply -- Engineering, Geology and the Water Supply to Lisbon in the Second Half of the Nineteenth Century. Expertise and Innovation -- Technology of Grandeur: Early Modern Aqueducts in Portugal -- Dams in the Renaissance Gardens of the Iberian Peninsula -- Water Communities on the Northern Slopes of the Guadarrama Mountain Range -- Landscape and Water Heritage in Mountainous Areas: From the Atlantic to the Mediterranean, from Northern Portugal to Southern Morocco -- The Technical and Social Scope of Irrigation in the Algarve -- The Aesthetical Application of Water in Iberian Gardens -- Aranjuez and Hydraulic Engineering: Public Utility, Leisure Utility -- The Water that Passes through Alcoa & Baça: The Hydraulic System of the Monastery of Alcobaça -- Noras, Norias and Technology-of-Use -- Beyond Stevin and Galileo: Seventeenth-century Hydrostatics in the Jesuit Class of the Sphere -- The Making of a Hydraulics Expert: Estevão Dias Cabral (1734-1811). This volume approaches the history of water in the Iberian Peninsula in a novel way, by linking it to the ongoing international debate on water crisis and solutions to overcome the lack of water in the Mediterranean. What water devices were found? What were the models for these devices? How were they distributed in the villas and monastic enclosures? What impact did hydraulic theoretical knowledge have on these water systems, and how could these systems impact on hydraulic technology? Guided by these questions, this book covers the history of water in the most significant cities, the role of water in landscape transformation, the irrigation systems and water devices in gardens and villas, and, lastly, the theoretical and educational background on water management and hydraulics in the Iberian Peninsula between the sixteenth and the nineteenth centuries. Historiography on water management in the territory that is today Spain has highlighted the region’s role as a mediator between the Islamic masters of water and the Christian world. The history of water in Portugal is less known, and it has been taken for granted that is similar to its neighbour. This book compares two countries that have the same historical roots and, therefore, many similar stories, but at the same time, offers insights into particular aspects of each country. It is recommended for scholars and researchers interested in any field of history of the early modern period and of the nineteenth century, as well as general readers interested in studies on the Iberian Peninsula, since it was the role model for many settlements in South America, Asia and Africa. Mathematics and statistics SPR202004 SzGeCERN Mathematical Physics and Mathematics SPR Technology—History SPR Water-supply SPR Environmental sciences SPR Architecture SPR History of Technology SPR Water IndustryWater Technologies SPR Environmental Science and Engineering SPR Architectural History and Theory BOOK Rodrigues, Ana ed. Marín, Carmen ed. SPR n 202018 202004 21 PUBLIC https://catalogue.library.cern/legacy/2717221 BOOK MIGRATED 2717187 SzGeCERN 20210421200805.0 9783030193041 electronic version electronic version print version 9783030193034 print version 9783030193058 DOI 10.1007/978-3-030-19304-1 ebook oai:cds.cern.ch:2717187 cerncds:BOOK eng QC801-809 550 23 Tiwari, R K Modern singular spectral-based denoising and filtering techniques for 2D and 3D reflection seismic data Cham Springer 2020 ebook 1. Introduction to Denoising and Data Gap Filling of Seismic Reflection Data -- 2. Time and Frequency Domain Eigen Image and Cadzow Noise Filtering of 2D Seismic Data -- 3. Time Domain Frequency Filtering of High Resolution Seismic Reflection Data Using Singular Spectral Analysis -- 4. Frequency and Time Domain SSA for 2D Seismic Data Denoising -- 5. Filtering 2D Seismic Data Using the Time Slice Singular Spectral Analysis -- 6. Robust and Fast Algorithms for Singular Spectral Analysis of Seismic Data -- 7. Denoising the 3D Seismic Data Using Multichannel Singular Spectrum Analysis -- 8. Seismic Data Gap Filling Using the Singular Spectrum Based Analysis -- 9. Singular Spectrum vs. Wavelet Based Denoising Schemes in Generalized Inversion Based Seismic Wavelet Estimation -- 10. Singular Spectrum-based Filtering to Enhance the Resolution of Seismic Attributes -- 11. Singular Spectrum Analysis with MATLAB -- Appendix -- Index. This book discusses the latest advances in singular spectrum-based algorithms for seismic data processing, providing an update on recent developments in this field. Over the past few decades, researchers have extensively studied the application of the singular spectrum-based time and frequency domain eigen image methods, singular spectrum analysis (SSA) and multichannel SSA for various geophysical data. This book addresses seismic reflection signals, which represent the amalgamated signals of several unwanted signals/noises, such as ground roll, diffractions etc. Decomposition of such non-stationary and erratic field data is one of the multifaceted tasks in seismic data processing. This volume also includes comprehensive methodological and parametric descriptions, testing on appropriately generated synthetic data, as well as comparisons between time and frequency domain algorithms and their applications to the field data on 1D, 2D, 3D and 4D data sets. Lastly, it features an exclusive chapter with MATLAB coding for SSA. Physics and astronomy SPR202004 SzGeCERN Computing and Computers SPR Noise control SPR Environmental management SPR Physical geography SPR Fossil fuels SPR Geophysics and Environmental Physics SPR Noise Control SPR Environmental Management SPR Earth System Sciences SPR Fossil Fuels (incl Carbon Capture) BOOK Rekapalli, R SPR n 202018 202004 21 PUBLIC https://catalogue.library.cern/legacy/2717187 BOOK MIGRATED 2717175 SzGeCERN 20210421200806.0 9783030386696 electronic version electronic version print version 9783030386689 print version 9783030386702 print version 9783030386719 DOI 10.1007/978-3-030-38669-6 ebook oai:cds.cern.ch:2717175 cerncds:BOOK eng QA401-425 QC19.2-20.85 530.15 23 Mathematical approach to climate change and its impacts MAC2I Cham Springer 2020 ebook Springer INdAM series 2281-518X 38 PART I - Theme: Geophysical Fluids and Climate: Ghil M. and Simonnet E., Geophysical Fluid Dynamics, Nonautonomous Dynamical Systems, and the Climate Sciences -- Cannarsa P. et al., Parameter determination for Energy Balance Models with Memory -- PART II - Theme: Hydrology: Cilli S. et al., Bedload transport processes in a coastal sand-bed river: the study case of Fiumi Uniti river in the northern Adriatic -- PART III - Theme: Glaciology: Krishna K. et al., Mathematical modeling of rock glacier flow with temperature effects -- Malek-Madani R. and R. Rajagopal K., A model to describe the response of Arctic sea ice -- Scagliarini A. et al., Modelling sea ice and melt ponds evolution: sensitivity to microscale heat transfer mechanisms -- PART IV - Theme: Ecology: Bianchi S. et al., Carbon dioxide time series analysis: a new methodological approach for event screening categorization -- Marangi C. et al., Mathematical tools for controlling invasive species in Protected Areas . This book presents important recent applied mathematics research on environmental problems and impacts due to climate change. Although there are inherent difficulties in addressing phenomena that are part of such a complex system, exploration of the subject using mathematical modelling is especially suited to tackling poorly understood issues in the field. It is in this spirit that the book was conceived. It is an outcome of theInternational INDAM Workshop “Mathematical Approach to Climate Change Impacts – MAC2I”, held in Rome in March 2017. The workshop comprised four sessions, on Ecosystems, Hydrology, Glaciology, and Monitoring. The book includes peer-reviewed contributions on research issues discussed during each of these sessions or generated by collaborations among the specialists involved. Accurate parameter determination techniques are explained and innovative mathematical modelling approaches, presented. The book also provides useful material and mathematical problem-solving tools for doctoral programs dealing with the complexities of climate change. Mathematics and statistics SPR202004 SzGeCERN Mathematical Physics and Mathematics SPR Geobiology SPR Hydrology SPR Ecosystems SPR Air pollution SPR Biogeosciences SPR HydrologyWater Resources SPR Statistics, general SPR Atmospheric ProtectionAir Quality ControlAir Pollution BOOK Cannarsa, Piermarco ed. Mansutti, Daniela ed. Provenzale, Antonello ed. SPR n 202018 202004 21 PUBLIC https://catalogue.library.cern/legacy/2717175 BOOK MIGRATED 2717172 SzGeCERN 20210421200806.0 9789811512933 electronic version electronic version print version 9789811512926 print version 9789811512940 print version 9789811512957 DOI 10.1007/978-981-15-1293-3 ebook oai:cds.cern.ch:2717172 cerncds:BOOK eng QC176.8.N35 T174.7 620.5 23 Lee, Young-Chul Introduction to bionanotechnology Singapore Springer 2020 ebook Chapter 1: Introduction to Nanotechnology and Bionanotechnology -- Chapter 2: The Fundamentals of Biological Systems -- Chapter 3: Synthesis and Manufacturing of Bionanomaterials -- Chapter 4: Interaction of Nanomaterials with Biological Systems -- Chapter 5: Bionanotechnology: Biological self-assembly -- Chapter 6: Bio-Nanorobotics: Mimicking Life at the Nanoscale -- Chapter 7: Bioanalytical Techniques for Bionanotechnology -- Chapter 8:Bionanotechnology in Medicine -- Chapter 9: Bionanotechnology in Pharmaceuticals -- Chapter 10: Bionanotechnology in Biotechnology -- Chapter 11: Bionanotechnology in Agriculture, Food and Cosmetics -- Chapter 12: Bionanotechnology in Environment. This is a comprehensive overview of bionanotechnology to students in nanotechnology, biotechnology, bionanotechnology, related fields such as biology, chemistry, physics, and materials science and also everyone who is interested in this research area. It describes the definition of bionanomaterials, how they can be synthesized, characterized and applied in different fields. The current status and future of bionanotechnology, as well as its advantages and limitations, are comprehensively discussed throughout the book. This is an entry-level book which is easy for readers to understand its contents. In this book, we tried to identify the definition of bionanotechnology. Briefly, Bionanotechnology is the emerging research field that comes from the intersection of nanotechnology and biotechnology. Nanotechnology is referring to the design, development, and application of materials which at least one dimension at nanometer scale meanwhile biotechnology is developed based on knowledge about living systems and organisms to create or improve different products. The association of nanotechnology and biotechnology pave a way to develop a hybrid technology with unique features. Thus, this novel technology will be used to improve our living standard in different aspects from developing new medicine, food, and functional cosmetics, introducing new methods to analyze and treat cancer to protect environmental problems. Physics and astronomy SPR202004 SzGeCERN Other Fields of Physics SPR Biotechnology SPR Plant breeding SPR Environmental engineering SPR Biomedical Engineering and Bioengineering SPR Plant BreedingBiotechnology SPR Environmental EngineeringBiotechnology BOOK Moon, Ju-Young SPR n 202018 202004 21 PUBLIC https://catalogue.library.cern/legacy/2717172 BOOK MIGRATED 2717161 SzGeCERN 20210421200808.0 9783030346751 electronic version electronic version print version 9783030346744 print version 9783030346768 print version 9783030346775 DOI 10.1007/978-3-030-34675-1 ebook oai:cds.cern.ch:2717161 cerncds:BOOK eng QA276-280 519.5 23 Statistical modeling for biological systems in memory of andrei yakovlev Cham Springer 2020 ebook Chapter 1. Stochastic Models of Cell Proliferation Kinetics based on Branching Processes -- Chapter 2. Age-Dependent Branching Processes with Non-Homogeneous Poisson Immigration as Models of Cell Kinetics -- Chapter 3. A Study of the Correlation Structure of Microarray Gene Expression Data Based on Mechanistic Modeling of Cell Population Kinetics -- Chapter 4. Correlation Between the True and False Discoveries in a Positively Dependent Multiple Comparison Problem -- Chapter 5. Multiple Testing Procedures: Monotonicity and Some of Its Implications -- Chapter 6. Applications of Sequential Methods in Multiple Hypothesis Testing -- Chapter 7. Multistage Carcinogenesis: A Unified Framework for Cancer Data Analysis -- Chapter 8. A Machine-Learning Algorithm for Estimating and Ranking the Impact of Environmental Risk Factors in Exploratory Epidemiological Studies -- Chapter 9. A Latent Time Distribution Model for the Analysis of Tumor Recurrence Data: Application to the Role of Age in Breast Cancer -- Chapter 10. Estimation of Mean Residual Life -- Chapter 11. Likelihood Transformations and Artificial Mixtures -- Chapter 12. On the Application of Flexible Designs when Searching for the Better of Two Anticancer Treatments -- Chapter 13. Parameter Estimation for Multivariate Nonlinear Stochastic Differential Equation Models: A Comparison Study -- Chapter 14. On Frailties, Archimedean Copulas and Semi-Invariance Under Truncation -- Chapter 15. The Generalized ANOVA – A Classic Song Sung with Modern Lyrics -- Chapter 16. Analyzing Gene Pathways from Microarrays to Sequencing Platforms -- Chapter 17. A New Approach for Quantifying Uncertainty in Epidemiology -- Chapter 18. Branching Processes: A Personal Historical Perspective -- Chapter 19. Principles of Mathematical Modeling in Biomedical Sciences: An Unwritten Gospel of Andrei Yakovlev. This book commemorates the scientific contributions of distinguished statistician, Andrei Yakovlev. It reflects upon Dr. Yakovlev’s many research interests including stochastic modeling and the analysis of micro-array data and throughout the book it emphasizes applications of the theory in biology, medicine and public health. The contributions to this volume are divided into two parts. Part A consists of original research articles, which can be roughly grouped into four thematic areas, (i) branching processes, especially as models for cell kinetics, (ii) multiple testing issues as they arise in the analysis of biologic data, (iii) applications of mathematical models and of new inferential techniques in epidemiology, and (iv) contributions to statistical methodology, with an emphasis on the modeling and analysis of survival time data. Part B consists of methodological research reported as a short communication, ending with some personal reflections on research fields associated with Andrei and on his approach to science. The Appendix contains an abbreviated vitae and a list of Andrei’s publications, complete as far as we know. The contributions in this book are written by Dr. Yakovlev’s collaborators and notable statisticians including former Presidents of the Institute of Mathematical Statistics and of the Statistics Section of the AAAS. Dr. Yakovlev’s research appeared in four books and almost 200 scientific papers, in mathematics, statistics, biomathematics and biology journals. Ultimately this book offers a tribute to Dr. Yakovlev’s work and recognizes the legacy of his contributions in the biostatistics community. Mathematics and statistics SPR202004 SzGeCERN Mathematical Physics and Mathematics SPR Biomedical engineering SPR Biomedical EngineeringBiotechnology BOOK Almudevar, Anthony ed. Oakes, David ed. Hall, Jack ed. SPR n 202018 202004 21 PUBLIC https://catalogue.library.cern/legacy/2717161 BOOK MIGRATED 2717157 SzGeCERN 20210421200808.0 9783030412555 electronic version electronic version print version 9783030412548 print version 9783030412562 DOI 10.1007/978-3-030-41255-5 ebook oai:cds.cern.ch:2717157 cerncds:BOOK eng QA276-280 519.5 23 Lecca, Paola Identifiability and regression analysis of biological systems models statistical and mathematical foundations and R scripts Cham Springer 2020 ebook SpringerBriefs in statistics 2191-544X 1 Complex systems and sets of data -- 2 Dynamic models -- 3 Model identifiability -- 4 Relationships between phenomena -- 5 Codes. This richly illustrated book presents the objectives of, and the latest techniques for, the identifiability analysis and standard and robust regression analysis of complex dynamical models. The book first provides a definition of complexity in dynamic systems by introducing readers to the concepts of system size, density of interactions, stiff dynamics, and hybrid nature of determination. In turn, it presents the mathematical foundations of and algorithmic procedures for model structural and practical identifiability analysis, multilinear and non-linear regression analysis, and best predictor selection. Although the main fields of application discussed in the book are biochemistry and systems biology, the methodologies described can also be employed in other disciplines such as physics and the environmental sciences. Readers will learn how to deal with problems such as determining the identifiability conditions, searching for an identifiable model, and conducting their own regression analysis and diagnostics without supervision. Featuring a wealth of real-world examples, exercises, and codes in R, the book addresses the needs of doctoral students and researchers in bioinformatics, bioengineering, systems biology, biophysics, biochemistry, the environmental sciences and experimental physics. Readers should be familiar with the fundamentals of probability and statistics (as provided in first-year university courses) and a basic grasp of R. Mathematics and statistics SPR202004 SzGeCERN Mathematical Physics and Mathematics SPR Systems biology SPR Biostatistics SPR Biomathematics SPR Statistics for Life Sciences, Medicine, Health Sciences SPR Systems Biology SPR Mathematical and Computational Biology SPR Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences BOOK SPR n 202018 202004 21 PUBLIC https://catalogue.library.cern/legacy/2717157 BOOK MIGRATED 2716993 20220118021439.0 DOI 10.1088/1748-0221/15/10/C10024 oai:cds.cern.ch:2716993 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN Inspire 1825918 ATL-MUON-PROC-2020-007 eng ATL-COM-MUON-2020-017 AUTHOR|(INSPIRE)INSPIRE-00349845 AUTHOR|(SzGeCERN)705258 Krasnopevtsev, Dimitrii Dimitriy.Krasnopevtsev@cern.ch University of Science and Technology of China The ATLAS collaboration Studies of gas volumes current density in the ATLAS RPC detector during 2018 data taking at Large Hadron Collider 2020 Geneva CERN 04 May 2020 8 p The ATLAS Resistive Plate Chamber (RPC) detector is a tracking trigger, used to primarily select high momentum muons in the ATLAS barrel region ($|\eta|<$1.05) at the 40 MHz collision rate, and to provide muons azimuthal coordinates. The RPC system consists of about 3700 gas volumes covering a sensitive surface of about 4000 m$^{2}$. It is arranged in three concentric double layers distributed on a radial distance of about 5m and operating at approximately 0.5 Tesla toroidal magnetic field. RPCs provide 6 points along the muon track with a space-time resolution of about 1 cm$^{2}\times$1 ns. This work studies systematically gas volumes current as a function of the electric field applied on the gas, and environmental parameters both without/with the Large Hadron Collider (LHC) beam induced background and up to an instantaneous luminosity L$_\text{inst}$ =2$\times$10$^{34}$ cm$^{-2}$ s$^{-1}$ (twice larger the design LHC luminosity). These measurements have been used to study the RPC working condition and to extrapolate the detector response to High Luminosity LHC regime with L$_\text{inst}$=7.5$\times$10$^{34}$ cm$^{-2}$ s$^{-1}$. publication IOP Publishing Ltd and Sissa Medialab 2020 PROC CERN CDS-Invenio WebSubmit SzGeCERN Particle Physics - Experiment SzGeCERN Muon CERN Trigger detectors CERN Resistive-plate chambers CERN INTNOTE PRIVATLAS ARTICLE INTNOTEATLASPUBL CERN LHC ATLAS PH-EP ATLAS Collaboration C10024 JINST 15 2020 http://cds.cern.ch/record/2714846 Original Communication (restricted to ATLAS) 1776844 1144519 http://cds.cern.ch/record/2716993/files/ATL-MUON-PROC-2020-007.pdf Stamped by WebSubmit: 04/05/2020 dimitriy.krasnopevtsev@cern.ch n 202070 13 2692559 C10024 roma20200210 PUBLIC 000768736CER INTNOTEATLASPUBL ConferencePaper ARTICLE 2716926 SzGeCERN 20210421200814.0 9780128186930 electronic version electronic version 9780128186923 print version oai:cds.cern.ch:2716926 cerncds:BOOK EBL 6032774 eng HD60 .H555 2020 658.408 Hill, John Environmental, social, and governance (ESG) investing a balanced analysis of the theory and practice of a sustainable portfolio San Diego, CA Elsevier Science & Technology 2020 371 p ebook Front Cover -- Environmental, Social, and Governance (ESG) Investing -- Copyright Page -- Contents -- 1 Introduction -- Principles for responsible investing -- Sustainable development goals -- The scope of this book -- Chapter 2: ESG, SRI, and impact investing -- Chapter 3: Theories of the firm -- Chapter 4: Fiduciary duty in investment management -- Chapter 5: Overview of financial institutions -- Chapter 6: Financial markets: equities -- Chapter 7: Financial markets: bonds -- Chapter 8: Shareholder engagement -- Chapter 9: Defining and measuring ESG performance -- Chapter 10: ESG in managing institutional investor funds -- Chapter 11: ESG in managing college and university endowments -- Chapter 12: ESG in managing sovereign wealth and government sponsored funds -- Chapter 13: ESG in managing family foundations and family offices -- Chapter 14: Faith-based investing -- Chapter 15: ESG investing-organizations having direct impact -- Chapter 16: What's next for ESG investing -- 2 ESG, SRI, and impact investing -- Environmental, social, and governance investing -- Socially responsible investment -- Divestment: South Africa -- Divestment: sin stocks -- Impact investing -- The Rise Fund -- Mission investing -- United Nations principles for responsible investing -- United Nations sustainable development goals -- Financial returns versus social and environmental returns -- Global sustainable investment -- 3 Theory of the firm -- The social responsibility of business is to increase its profits -- Maximize shareholder welfare, not market value -- Maximizing welfare -- Shareholder rights -- Summary -- Appendix -- 4 Fiduciary duty in investment management -- Addressing the Agency Problem -- Fiduciary duty -- Fiduciary obligations -- "Prudent Man" rule -- Uniform Prudent Investor Act -- Uniform Prudent Management of Institutional Funds Act. Freshfields Report -- Fiduciary II -- United Nations Principles for Responsible Investing -- Organization for Economic Cooperation and Development -- Summary -- 5 Overview of financial institutions -- Information asymmetries, moral hazard, and adverse selection -- Commercial banks -- Credit unions -- Investment banks -- Trading and research -- Asset securitization -- Mergers and acquisitions -- Prime brokerage -- Central banks -- Conventional monetary tools -- Unconventional monetary policy -- Other central banks -- Shadow banking: other financial intermediaries -- Insurance companies -- Categories of insurance -- Prudential Financial Inc -- MetLife Inc -- Zurich Insurance Group -- Pension funds -- Largest pension funds -- CalPERS -- Florida State Board of Administration -- Asset managers -- Hedge funds -- Private equity -- 6 Financial markets: equities -- Risk, return, and diversification -- Capital asset pricing model -- Efficient market hypothesis -- Random walk -- Types of orders -- Equity trading venues -- Regulation -- Investing in equities -- Collective investment vehicles: mutual funds and exchange-traded funds -- Equity indexes -- ESG indexes -- MSCI -- FTSE Russell -- Morningstar -- Robo-advisors -- 7 Financial markets: bonds -- Future value and present value -- Internal rate of return -- Credit instruments -- Fisher's law -- Term structure and yield curve -- Types of debt instruments: money market instruments -- Types of debt instruments: US Treasury securities -- Types of debt instruments: agency securities -- Types of debt instruments: corporate bonds -- Types of debt instruments: municipal securities -- Types of debt instruments: sovereign debt -- Fixed income trading -- Fixed income indexes and funds -- ESG bond funds -- ESG bond fund managers -- PIMCO -- Fidelity -- Green bonds -- Green bond indexes and ETFs. 8 Shareholder engagement -- Using engagement to create value for both investors and companies -- Shareholder activism -- Shareholder voting by proxy -- Key corporate governance and shareholder voting trends -- Recent shareholder proposals -- Examples of shareholder engagement policies -- Blackrock -- CalPERS -- T. Rowe Price -- The New York City Comptroller's Office -- Vanguard -- Institutional investors acting together -- The Investor Stewardship Group -- The 30% Club -- Sustainability Accounting Standards Board -- 9 Defining and measuring ESG performance -- ESG factors in portfolio construction -- Standards for companies to report their ESG impacts -- Global Reporting Initiative -- Sustainability Accounting Standards Board -- United Nations Global Compact -- The United Nations Guiding Principles -- Quality issues in ESG reporting -- Corporate ESG reporting: findings -- Services providing an assessment of corporate ESG -- Sustainalytics -- MSCI -- RepRisk ESG Business Intelligence -- Ceres -- JUST Capital -- How do mutual funds and ETFs rate ESG performance of portfolio companies? -- Morningstar -- Does ESG investing require lower returns? -- Conceptual critiques of ESG investing -- Empirical studies -- 10 ESG in managing institutional investor funds -- BlackRock -- Sustainable investment choices -- Fidelity -- PIMCO -- Goldman Sachs -- J.P. Morgan -- Betterment -- JUST Capital -- 11 ESG in managing college and university endowments -- Hampshire College -- Yale University -- University of California -- Brown University -- Harvard -- Columbia University -- ESG investing in other schools -- Organizations providing analysis, support, consulting, and investing services for endowment management -- Commonfund -- The Intentional Endowments Network -- National Association of College and University Business Officers. The Forum for Sustainable and Responsible Investment -- 12 ESG in managing sovereign wealth and government sponsored funds -- Transparency issues and concerns -- Linaburg-Maduell Transparency Index -- ESG investing by SWFs -- ESG investing policy in selected sovereign wealth funds -- Norway's Government Pension Fund-Global -- The French Pension Reserve Fund -- Temasek Holdings Private Limited -- China Investment Corporation -- New Zealand Superannuation Fund -- Future Fund, Australia's Sovereign Wealth Fund -- Middle East Sovereign Wealth Funds -- Mubadala Investment Company (Abu Dhabi) -- Public Investment Fund of Saudi Arabia -- Other sovereign wealth fund activities -- 13 ESG in managing family foundations and family offices -- The family office -- Chan Zuckerberg Initiative -- The Giving Pledge -- Bill &amp -- Melinda Gates Foundation -- Lilly Endowment Inc -- Day One Fund -- Open Society Foundations -- The Robert Wood Johnson Foundation -- The Rockefeller Foundation -- Bloomberg Family Foundation (Bloomberg Philanthropies) -- The Ford Foundation -- Carnegie Corporation of New York -- Providing Services to the Foundation Community -- Council on Foundations -- The Foundation Center -- 14 Faith-based investing -- Common features -- Christian values investing -- GuideStone -- New Covenant Funds -- The Interfaith Center on Corporate Responsibility -- Christian Super -- Timothy Plan Funds -- Eventide Funds -- Catholic values investing: socially responsible investment guidelines -- USCCB investment policies -- Catholic values mutual funds -- Ave Maria Mutual Funds -- LKCM Aquinas Catholic Equity Fund -- Catholic values ETF -- Islamic values investing -- Green sukuk bonds -- Islamic values indexes, mutual funds, and ETFs -- MSCI Islamic index series -- FTSE Shariah indexes -- Amana Mutual Funds -- The Iman Fund -- Shariah compliant ETFs. Jewish values investing -- Jewish values indexes, mutual funds, and ETFs -- 15 ESG investing-organizations having direct impact -- Women's Sports Foundation -- USA for UNHCR -- Michael J. Fox Foundation for Parkinson's Research -- Elton John AIDS Foundation -- Water.org -- Ocean Conservancy -- Project AWARE -- Sea Shepherd Conservation Society -- UNICEF and UNESCO -- UNICEF -- UNESCO -- Red Cross and Red Crescent Societies -- The Salvation Army -- Meals on Wheels -- Habitat for Humanity -- 16 What's next for ESG investing? -- Empirical studies of environmental, social, and governance investment performance -- The future of environmental, social, and governance investing -- Environmental, social, and governance investment concerns to be addressed -- References -- Index -- Back Cover. EBL202005 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6032774 ebook n 202018 202005 21 PUBLIC https://catalogue.library.cern/legacy/2716926 BOOK MIGRATED 2716904 SzGeCERN 20210421200817.0 9780128173879 electronic version electronic version 9780128173862 print version oai:cds.cern.ch:2716904 cerncds:BOOK EBL 5946034 eng TP247.5 .G74 2020 541.3482 Inamuddin Green sustainable process for chemical and environmental engineering and science ionic liquids as green solvents San Diego, CA Elsevier 2019 412 p ebook Front Cover -- Green Sustainable Process for Chemical and Environmental Engineering and Science -- Copyright -- Contents -- Contributors -- Chapter 1: Conversion of biomass to chemicals using ionic liquids -- 1. Introduction -- 2. Biomass as a renewable resource of chemicals -- 2.1. Interaction among biomass components -- 2.2. Pretreatment of lignocellulosic biomass using ionic liquids -- 2.3. Lignocellulosic biomass conversion to various chemicals -- 3. Platform chemicals from lignocellulosic biomass -- 3.1. 5-HMF and EMF from lignocellulosic biomass -- 3.2. Levulinic acid from lignocellulosic biomass -- 4. Ionic liquids: Significant in conversion of lignocellulose to platform chemicals -- 4.1. Biomass conversion to chemicals using acidic ILs -- 5. Conversion of biomass to 5-HMF and EMF using ILs -- 6. LA from lignocellulosic biomass -- 7. Effects of ILs properties on conversion of cellulose/lignocellulose to LA -- 8. Summary -- References -- Chapter 2: Ionic liquids for enzyme-catalyzed production of biodiesel -- 1. Introduction -- 2. Influence of ionic liquid cation in biocatalyzed biodiesel production -- 2.1. Imidazolium-based ionic liquids -- 2.2. Other cations -- 3. Impact of ionic liquid anion in biocatalyzed biodiesel production -- 4. Biocatalysts employed in biodiesel production with ionic liquids -- 5. Substrates and acyl acceptors for biocatalyzed biodiesel production with ionic liquids -- 6. Operation temperature for biocatalyzed biodiesel production with ionic liquids -- 7. Conclusions -- References -- Chapter 3: Organic synthesis on ionic liquid support: A new strategy for the liquid-phase organic synthesis (LPOS) -- 1. Introduction -- 2. Synthesis of small molecules on ionic liquid support -- 3. Ionic liquid-supported reagents for organic synthesis -- 4. Ionic liquid-supported catalysts for organic synthesis. 5. Conclusion and outllook -- References -- Further reading -- Chapter 4: Separation of volatile organic compounds by using immobilized ionic liquids -- 1. Introduction -- 2. Ionic liquids for the separation of organic compounds -- 3. Separation of organic volatile compounds by IL-based membranes -- 3.1. Supported ionic liquid membranes -- 3.1.1. Flat sheet-supported ionic liquid membranes -- 3.2. Hollow fiber-supported ionic liquid membranes -- 3.3. Anodic aluminum oxide/ionic liquid membranes -- 4. Conclusions -- References -- Chapter 5: Deep eutectic solvents -- 1. Introduction -- 2. Properties and characteristics of DES -- 3. Synthesis of DES -- 4. Application of DES in sample preparation -- 4.1. Food analysis -- 4.2. Environmental analysis -- 4.3. Biological analysis -- 5. Conclusions and future trends -- References -- Further reading -- Chapter 6: Ionic liquids as scavenger -- 1. Introduction -- 1.1. Solid- and solution-phase chemistry -- 1.2. Scavenger properties and mechanism -- 1.3. Ionic liquids as scavengers and their properties -- 2. Task-specific ionic liquids as scavenger -- 2.1. Amino-functionalized ionic liquids as scavenger -- 2.2. Diol-functionalized ionic liquid as scavenger -- 2.3. Ionic liquids functionalized with Michael acceptor as scavenger -- 2.4. Si-supported sulfonic acid-functionalized ionic liquid as scavenger -- 2.5. Carboxyl-functionalized ionic liquids as scavenger -- 2.6. Aldehyde-functionalized ionic liquids as scavenger -- 2.7. Azide-functionalized ionic liquid as scavenger -- 2.8. Amino acid-functionalized ionic liquid as scavenger -- 2.9. Chlorosalicylaldehyde-functionalized ionic liquids as scavenger -- 3. Conclusion -- References -- Chapter 7: Recent developments in ionic liquid-based electrolytes for energy storage supercapacitors and rechargeable b -- 1. Introduction. 2. Recent developments in ionic liquid-based supercapacitors and batteries -- 3. Development of porous electrodes for ionic liquid electrolytes -- 4. Development of high operating temperature supercapacitors and batteries -- 5. Effect of cationic or anionic species on the electrochemical performance of ionic liquids -- 6. Conclusion -- References -- Chapter 8: Recent insights on solubility and stability of biomolecules in ionic liquid -- 1. Introduction -- 2. Available resources on properties of ionic liquids -- 3. Advantages of ILs for biomolecule-based applications -- 3.1. Biocompatibility and biodegrability of ILs -- 4. Biomolecules solubility and stability in ILs -- 4.1. Nucleic acids in ILs -- 4.2. Carbohydrates in ILs -- 4.3. Proteins in ILs -- 5. Conclusion -- References -- Chapter 9: Ionic liquid-based membranes for water softening -- 1. Introduction -- 1.1. Ionic liquids (ILs) -- 1.2. Water purification: Challenges and perspectives -- 2. Liquid membrane -- 3. Bulk membranes based on ionic liquids -- 3.1. Extraction of phenols -- 3.2. Extraction of metal ions -- 4. Emulsion liquid membranes -- 5. Supported liquid membranes (SLMs) -- 5.1. Flat sheet liquid membrane -- 5.1.1. IL-SLM as extracting agents for heavy metal ions -- 5.1.2. Extraction of endosulfan -- 5.1.3. Separation of volatile organic compounds by ILs -- 5.1.4. Removal of phenolic compounds from water -- 5.1.5. Separation of organic liquids -- 5.2. Hollow fiber-supported IL membrane -- 5.2.1. Extraction of phenols -- 5.2.2. Extraction of metal ions -- 6. Polymer inclusion membranes (PIMs) -- 6.1. Extraction of metal ions -- 6.2. Extraction of antibiotics -- 6.3. Extraction of organic molecules -- 7. Conclusions -- References -- Chapter 10: Ionic liquids in gas sensors and biosensors -- 1. Introduction -- 2. Properties of ILs -- 3. Transducers utilized in IL-based sensors. 3.1. Electrochemical transducers -- 3.2. Mass-sensing transducers -- 3.3. Optical transducers -- 3.4. IL-modified electrodes -- 3.5. Multitransduction modes -- 4. Immobilization techniques -- 5. Applications of IL-based sensors and biosensors -- 6. Future prospects -- 6.1. Electronic nose instruments -- 6.2. Ion Jelly ionic liquids -- 6.3. 3-D printing technology -- 7. Conclusions -- References -- Further reading -- Chapter 11: Ionic liquids as gas sensors and biosensors -- 1. Introduction -- 2. Ionic liquid-based electrochemical biosensors -- 2.1. Ionic liquid-based carbon nanomaterial biosensors -- 2.2. Ionic liquid based biosensor/metal nanomaterials -- 2.3. Gel-based biosensors -- 3. Electrochemical gas sensors -- 3.1. Electrochemical gas sensor-Oxygen (O2) sensors -- 3.2. Electrochemical gas sensor-Nitrogen oxide (NOx) -- 4. Optical gas sensors -- 4.1. Optical oxygen gas sensors -- 4.2. Optical carbon dioxide gas sensors -- 5. Other forms of gas sensors and applications of ionic liquids -- 5.1. Gas seniors-semiconducting metal oxides -- 5.2. Carbon-IL composite gas sensors -- 6. Conclusion -- References -- Further reading -- Chapter 12: Imidazolium-based room temperature ionic liquids for electrochemical reduction of carbon dioxide to carbon mo ... -- 1. Introduction -- 2. Mechanistic aspects -- 2.1. Formation of imidazolium-CO2 adducts -- 2.2. Deactivation of imidazolium cation during CO2 ERR -- 2.3. Structural transitions of imidazolium ILs at electrode-electrolyte interface -- 3. Role of imidazolium ILs in homogeneous reduction of CO2 -- 4. Role of imidazolium ILs in heterogeneous reduction of CO2 -- 4.1. With noble metal-based electrodes -- 4.2. With nonnoble metal-based electrodes -- 4.3. With polymers -- 4.4. With carbon-based electrodes -- 5. Conclusion -- References. Chapter 13: Ionic liquid based electrochemical sensors and their applications -- 1. Introduction -- 2. History of ionic liquids -- 3. Electrochemical properties of ionic liquids -- 4. Ionic liquid based electrochemical sensors -- 5. Ionic liquid applications in electrochemical sensors -- 6. Conclusions -- References -- Index -- Back Cover. EBL202005 XX SzGeCERN BOOK Asiri, Abdullah M Ahmed Kanchi, Suvardhan https://cds.cern.ch/auth.py?r=EBLIB_P_5946034 ebook n 202018 202005 21 PUBLIC https://catalogue.library.cern/legacy/2716904 BOOK MIGRATED 2716876 SzGeCERN 20210421200820.0 9783030106096 electronic version electronic version 9783030106089 print version oai:cds.cern.ch:2716876 cerncds:BOOK EBL 5733042 eng GE1-350 541.395 Inamuddin Nanophotocatalysis and environmental applications materials and technology Cham Springer 2019 343 p ebook Environmental chemistry for a sustainable world 29 Intro -- Preface -- Contents -- Contributors -- Chapter 1: Nanostructured Imprinted Supported Photocatalysts: Organic and Inorganic Matrixes -- 1.1 Introduction -- 1.2 Fundamental Concepts -- 1.2.1 Polymerization with Organic and Inorganic Matrix -- 1.2.2 Estimation of Parameters -- 1.3 General Parameters -- 1.4 Parameters for Selectivity Essays -- 1.5 Parameters for Competitiveness Essays -- 1.5.1 Molecularly Imprinted Photocatalyst -- 1.5.1.1 Supported Photocatalysts: Imprinted Matrixes -- 1.5.1.2 Photocatalyst Precursors -- 1.5.1.3 Extraction Method -- 1.5.1.4 Photocatalytic Process: Competitiveness Versus Selectivity -- 1.5.1.5 Reaction Parameters -- 1.5.2 Characterization of Photocatalysts -- 1.5.2.1 Elemental Characterization: Inductively Coupled Plasma Optical Emission Spectrometry and CHN Analysis -- 1.5.2.2 Textural Characterization: Specific Area, Pore Volume, Pore Diameter, and Small-Angle X-Ray Scattering -- 1.5.2.3 Structural Characterization: Fourier-Transform Infrared Spectroscopy, Zeta Potential, Differential Reflectance Spectro... -- 1.5.2.4 Morphology: Scanning Electron Microscope, Transmission Electron Microscopy, Field Emission Scanning Electron Microscop... -- 1.6 Final Remarks -- References -- Chapter 2: Supporting Materials for Immobilisation of Nano-photocatalysts -- 2.1 Introduction -- 2.2 Challenges in Developing Photocatalytic Water Treatment Systems and Need for Immobilisation -- 2.3 Matrices for Immobilisation of Photocatalysts -- 2.3.1 Glass -- 2.3.2 Carbon Nanotubes and Graphene Oxides -- 2.3.3 Zeolites -- 2.3.4 Clay and Ceramics -- 2.3.5 Polymers -- 2.3.6 Other Uncommonly Used Supports -- 2.4 Common Methods of Immobilisation -- 2.4.1 Dip Coating -- 2.4.2 Cold Plasma Discharge -- 2.4.3 Polymer-Assisted Hydrothermal Decomposition (PAHD) -- 2.4.4 RF Magnetron Sputtering -- 2.4.5 Photo-Etching -- 2.4.6 Solvent Casting. 2.4.7 Electrophoretic Deposition -- 2.4.8 Spray Pyrolysis -- 2.4.9 Sol-Gel Process -- 2.5 Conclusion -- References -- Chapter 3: Non-metal (Oxygen, Sulphur, Nitrogen, Boron and Phosphorus)-Doped Metal Oxide Hybrid Nanostructures as Highly Effic... -- 3.1 Catalytic TiO2/Its Hybrids Doped with Non-metals (Oxygen, Sulphur, Nitrogen, Boron and Phosphorus) -- 3.2 Preparation Methods of Non-metal-Doped TiO2 Photocatalysts -- 3.3 Effect of Dopant Concentration -- 3.4 Effect of Photocatalyst Concentration -- 3.5 Co-doping (e.g. O and S) and Tri-doping (N, O and S) of TiO2 -- 3.6 Preparation Methods and Effect of Co- and Tri-doping -- 3.7 Photocatalytic Doped TiO2 for Applications in Water Treatment and Hydrogen Generation -- 3.8 Catalytic ZnO/Its Hybrids Doped with Non-metals (Oxygen, Sulphur, Nitrogen, Boron and Phosphorus) -- 3.9 Preparation Methods of Non-metal-Doped ZnO Photocatalysts -- 3.10 Effect of Dopant Concentration -- 3.11 Effect of Photocatalyst Concentration -- 3.12 Co-doping (e.g. O and S) and Tri-doping (N, O and S) of TiO2 -- 3.13 Photocatalytic Doped ZnO for Applications in Water Treatment and Hydrogen Generation -- 3.14 Conclusions -- References -- Chapter 4: Challenges of Synthesis and Environmental Applications of Metal-Free Nano-heterojunctions -- 4.1 Introduction -- 4.1.1 Semiconductors in Heterogeneous Photocatalysis: Overview and Basic Concepts -- 4.2 Synthesis and Processing of Heterostructures -- 4.2.1 Challenges in Synthesis and Processing of Heterostructures -- 4.2.2 Obtaining of Heterostructures by Simultaneous Phase Growth -- 4.2.3 Obtaining of Heterostructures by Phase Growth onto Preformed Supports -- 4.2.4 Obtaining of Heterostructures Using Preformed Particles -- 4.3 Applications of Metal-Free Nano-heterojunctions for Environmental Protection -- 4.3.1 Water Splitting -- 4.3.2 Photoreduction of Carbon Dioxide (CO2). 4.3.3 Photocatalytic Processes Applied to Heavy Metal-Contaminated Water Treatment -- 4.4 Conclusion -- References -- Chapter 5: Perovskite-Based Materials for Photocatalytic Environmental Remediation -- 5.1 Introduction -- 5.2 Basic Principles of Photocatalytic Environmental Remediation -- 5.2.1 Fundamentals of Photocatalytic Pollutant Degradation -- 5.2.2 Fundamentals of Photocatalytic CO2 Reduction -- 5.3 Perovskite-Based Materials in Photocatalytic Environmental Remediation -- 5.4 Photocatalytic Pollutant Degradation -- 5.5 Photocatalytic CO2 Reduction -- 5.6 Summary -- References -- Chapter 6: Carbon Nitride: A Wonder Photocatalyst -- 6.1 Introduction -- 6.2 Photocatalytic Attributes of the Different Forms of g-C3N4 Nanostructures -- 6.2.1 Bulk and Nanosheets of g-C3N4 -- 6.2.2 Shape-Tailored g-C3N4 Nanosheets -- 6.2.3 Surface Modification by Defect Engineering and Doping -- 6.2.4 Carbonaceous Materials-C3N4 Nanocomposite -- 6.2.5 Metal Oxide-g-C3N4 Nanocomposites -- 6.2.6 Metal Sulphides-C3N4 Nanocomposites -- 6.3 Summary -- References -- Chapter 7: Graphene and Allies as a Part of Metallic Photocatalysts -- 7.1 Introduction -- 7.2 Synthesis of Graphene, Graphene Oxide and Reduced Graphene Oxide -- 7.3 Application of Graphene and Derivatives as Metallic Photocatalysts -- 7.4 Conclusion -- References -- Chapter 8: Silver-Based Photocatalysts: A Special Class -- 8.1 Silver and Its Enhanced Properties as Photoactive Nanoparticles -- 8.2 Photocatalytic Applications of Silver-Based Photocatalysts -- 8.3 Photocatalytic Applications of Silver-Nanocomposites -- 8.3.1 Oxidation Reactions -- 8.3.2 Reduction Reactions -- 8.3.3 New Renewable Energy Source Reactions for CO2 Reduction -- 8.3.4 Antibacterial Properties Enhanced with Photoactive Silver-Nanoparticles -- 8.4 Practical Applications of Silver-Nanocomposites -- 8.5 Conclusion Remarks -- References. Chapter 9: Green Synthesis of Novel Photocatalysts -- 9.1 Introduction -- 9.2 Photocatalysis -- 9.2.1 Heterogeneous Photocatalysis -- 9.2.2 Mechanism of Photocatalytic Reactions -- 9.2.3 Photocatalysts -- 9.2.3.1 Nanostructured Photocatalysts -- 9.2.4 Nanostructured Particle Synthesis Techniques -- 9.2.4.1 Green Syntheses of Novel Photocatalysts by Microorganisms (Biosynthesis) -- 9.2.4.2 Green Syntheses of Novel Photocatalysts by Plant Extracts (Phytosynthesis) -- 9.3 Limitation of Green Synthesis -- 9.4 Conclusions: Future Scope -- References -- Chapter 10: Electrodeposition of Composite Coatings as a Method for Immobilizing TiO2 Photocatalyst -- 10.1 Introduction -- 10.2 Photocatalytic Fe/TiO2 Composites Electrodeposited from Methanesulfonate Aqueous Plating Bath -- 10.2.1 Electrodeposition of Iron-Titania Composites Using Methanesulfonate Electrolyte -- 10.2.2 Surface Morphology, Microstructure, and Microhardness of Iron-Titania Composites -- 10.2.3 Photocatalytic Performance of Iron-Titania Composites -- 10.2.4 Improving the Corrosion Resistance of Photocatalytic Fe/TiO2 Composite Coatings by Electrodeposition of Protective Ceri... -- 10.3 Photocatalytic Ni/TiO2 Composites Electrodeposited from Electrolyte Based on a Deep Eutectic Solvent -- 10.3.1 Electrodeposition of Nickel-Titania Composites Using an Electrolyte Based on Deep Eutectic Solvent -- 10.3.2 Surface Morphology and Microstructure of Nickel-Titania Composites -- 10.3.3 Photocatalytic Performance of Nickel-Titania Composites -- 10.4 Conclusion -- References -- Chapter 11: Spinning Disk Reactor Technology in Photocatalysis: Nanostructured Catalysts Intensified Production and Applicatio... -- 11.1 Introduction: Process Intensification -- 11.2 Spinning Disk Reactor Technology -- 11.3 Nano-photocatalyst Production by Spinning Disk Reactor -- 11.3.1 TiO2 Production and Applications. 11.3.2 Magnetite Production and Applications -- 11.3.3 MgO Production and Applications -- 11.3.4 Hydroxyapatite Production and Applications -- 11.4 About the Use of Photocatalytic Spinning Disk Reactors -- 11.5 Conclusions -- References -- Index. EBL202005 XX SzGeCERN BOOK Sharma, Gaurav Kumar, Amit Lichtfouse, Eric Asiri, Abdullah M https://cds.cern.ch/auth.py?r=EBLIB_P_5733042 ebook n 202018 202005 21 PUBLIC https://catalogue.library.cern/legacy/2716876 BOOK MIGRATED 2716812 SzGeCERN 20210421200828.0 9783030055424 electronic version electronic version 9783030055417 print version oai:cds.cern.ch:2716812 cerncds:BOOK EBL 5702850 eng QH301-705 610.28 Guest, Paul C Reviews on biomarker studies in psychiatric and neurodegenerative disorders Cham Springer 2019 336 p ebook Advances in experimental medicine and biology 1118 Intro -- Preface -- Contents -- Contributors -- Chapter 1: The Potential of 'Omics to Link Lipid Metabolism and Genetic and Comorbidity Risk Factors of Alzheimer's Disease in African Americans -- 1.1 Introduction -- 1.2 Potential Roles of Lipid Metabolism in AD Racial Disparities -- 1.2.1 Comorbidities -- 1.2.1.1 Dyslipidemia -- 1.2.1.2 HTN -- 1.2.1.3 Obesity -- 1.2.1.4 T2DM -- 1.2.1.5 Vascular Diseases -- 1.2.2 Genetics -- 1.2.2.1 APOE ε4 -- 1.2.2.2 ABCA7 -- 1.2.2.3 Other Genes -- 1.3 'Omics Approaches to Study Lipid Metabolism in AD -- 1.4 Conclusions -- References -- Chapter 2: The Role of Biomarkers in Alzheimer's Disease Drug Development -- 2.1 The Role of Biomarkers in Alzheimer's Disease Drug Development -- 2.2 Overview of Biomarkers in AD Drug Development -- 2.3 A,T,N Framework for Alzheimer's Disease Diagnosis and Characterization -- 2.4 Biomarkers for Participant Selections -- 2.5 Biomarkers of Target Engagement -- 2.6 Fluid Biomarkers of Target Engagement -- 2.7 Imaging Biomarkers of Target Engagement -- 2.8 Biomarkers Evidence of Disease Modification -- 2.9 Biomarkers for Safety in AD Drug Development -- 2.10 FDA Classification of Biomarkers and Integration into Stages of Alzheimer's Disease -- 2.11 Biomarker Qualification and Context of Use -- 2.12 Companion and Complementary Diagnostics -- 2.13 Summary -- References -- Chapter 3: Mitochondrial Involvement in Mental Disorders: Energy Metabolism and Genetic and Environmental Factors -- 3.1 Introduction -- 3.2 Mitochondria -- 3.3 Mitochondrial Abnormalities in Mental Disorders -- 3.4 Mitochondria-Related Genes in Mental Disorders -- 3.5 Environmental Factors for Mental Disorders -- 3.6 Interactions of Environmental Factors and Mitochondria-Related Genes -- 3.7 Conclusion -- References. Chapter 4: Lymphocytes, Platelets, Erythrocytes, and Exosomes as Possible Biomarkers for Alzheimer's Disease Clinical Diagnosis -- 4.1 Introduction -- 4.2 Current Biomarkers in Alzheimer's Disease Clinical Diagnosis -- 4.3 Candidates for New Biomarkers -- 4.3.1 Platelets as Alzheimer's Disease Biomarkers -- 4.3.2 Lymphocytes as Alzheimer's Disease Biomarkers -- 4.3.3 Erythrocytes as Alzheimer's Disease Biomarkers -- 4.3.4 Exosomes as Alzheimer's Disease Biomarkers -- 4.4 Exosomes as a Spread Factor in Alzheimer's Disease -- 4.5 Conclusions -- References -- Chapter 5: Genetic Risk Factors for Alzheimer Disease: Emerging Roles of Microglia in Disease Pathomechanisms -- 5.1 Introduction -- 5.2 Sporadic Alzheimer Disease and Its Genetic Risk Factors -- 5.3 Genetic Risk Factors Associated with Microglia -- 5.3.1 TREM2 -- 5.3.2 CD33 -- 5.3.3 CR1 -- 5.3.4 GRN -- 5.3.5 IL1RAP -- 5.3.6 ABCA7 -- 5.3.7 Other Factors -- 5.4 Pathological Roles of Microglia in Alzheimer Disease -- 5.4.1 Microglial Changes Around Aβ Plaques -- 5.4.2 Protective Roles of Microglia -- 5.4.3 Neurotoxic Roles of Microglia -- 5.4.4 Roles of Microglia in Tau Pathology -- 5.4.5 Association with Astrocytes -- 5.5 Concluding Remarks -- References -- Chapter 6: Neuroimaging Studies of Cognitive Function in Schizophrenia -- 6.1 Introduction -- 6.2 Executive Functions -- 6.2.1 Anatomical Data -- 6.2.2 Functional Data -- 6.2.2.1 Working Memory -- 6.2.2.2 Cognitive Control -- 6.3 Episodic Memory -- 6.3.1 Anatomical Data -- 6.3.2 Functional Data -- 6.3.2.1 Prefrontal Implications -- 6.3.2.2 Medial Temporal Implications -- 6.4 Cognitive Remediation Therapies -- 6.4.1 Findings in Frontal Lobe -- 6.4.2 Findings in Connectivity and Brain Functioning -- 6.4.3 Structural Findings -- 6.5 Conclusion -- References -- Chapter 7: The Role of Biomarkers in Psychiatry -- 7.1 Introduction. 7.1.1 The Significance of "Biomarker" -- 7.1.2 Biomarker Potential Role in Psychiatric Setting -- 7.2 Brain Imaging Biomarkers -- 7.2.1 Schizophrenia -- 7.2.2 Major Depressive Disorders -- 7.2.3 Bipolar Disorders -- 7.3 Inflammatory Biomarkers -- 7.4 Neurotrophic Biomarkers -- 7.5 Neurotransmitters Biomarkers -- 7.5.1 Dopaminergic System -- 7.5.2 Serotonergic System -- 7.5.3 Glutamate and Other Amino Acid Systems -- 7.5.4 GABAergic System and Neurosteroids -- 7.5.5 Cholinergic System -- 7.6 Epigenetics -- 7.7 Pharmacogenomic Biomarkers -- 7.8 Electrophysiological Biomarkers -- 7.9 Gut Microbiota -- 7.10 Conclusions -- References -- Chapter 8: Interactome Studies of Psychiatric Disorders -- 8.1 Introduction -- 8.2 Complexity and Comorbidity in Psychiatric Disorders -- 8.3 Psychiatric Interactome Studies -- 8.3.1 Protein-Protein Interaction Database -- 8.3.2 Yeast Two-Hybrid Screen -- 8.3.3 Interactome Studies by Co-IP-Coupled Mass Spectrometry-Based Proteomics -- 8.3.4 Interactome Studies with Transcriptomics -- 8.4 Conclusions and Future Directions in the Interactome Study of Psychiatric Disorders -- References -- Chapter 9: MicroRNAs in Major Depressive Disorder -- 9.1 Introduction -- 9.2 Biology of miRNAs -- 9.2.1 MicroRNA Biogenesis -- 9.2.2 MicroRNA Functions -- 9.3 miRNAs as Biomarkers of Major Depression -- 9.4 miRNAs in the Pathogenesis of Major Depressive Disorder -- 9.5 miRNAs in the Treatment of Major Depression -- 9.6 Perspectives and Future Directions -- 9.7 Conclusions -- References -- Chapter 10: Proteomic Markers for Depression -- 10.1 General Overview -- 10.2 Biomarker Characterization -- 10.3 Proteomics Findings -- 10.3.1 Proteomics Findings Related to Diagnostic Biomarkers in Drug-Naive Patients -- 10.3.2 Late-Life Depression -- 10.3.3 Markers Related to Response -- 10.3.4 Animal Models -- 10.4 Conclusions -- References. Chapter 11: Advances in Biomarker Studies in Autism Spectrum Disorders -- 11.1 Introduction -- 11.2 Neuroimaging -- 11.3 Genetic Susceptibility and Genetic Testing -- 11.4 Blood Protein-Based Biomarkers -- 11.4.1 Proteomics -- 11.4.2 Ultrasensitive Techniques in Blood -- 11.5 Transcriptomics -- 11.6 Metabolomics -- 11.7 Immune System and Cytokines -- 11.8 MicroRNAs and Exosomes -- 11.9 Conclusions -- References -- Chapter 12: Proteomic Investigations of Autism Spectrum Disorder: Past Findings, Current Challenges, and Future Prospects -- 12.1 Introduction -- 12.2 Potential Applications of Proteomics in Autism Research -- 12.3 Challenges in Using Proteomic Approaches in Autism Research -- 12.4 Proteomic Studies of Autism -- 12.5 Promising Approaches for Future Research -- 12.6 Conclusions -- References -- Chapter 13: Role of the Gut Microbiome in Autism Spectrum Disorders -- 13.1 Introduction -- 13.2 Plausible Mechanisms Involved in Gut-Brain Axis Through Gut Microbiome Intervention: Bidirectional Communication -- 13.3 Autism and Gut Microbiome -- 13.3.1 Mineral Elements and Gut Microbiome -- 13.3.2 Glutathione Metabolism and Gut Microbiota -- 13.4 Conclusions -- References -- Chapter 14: Metabolomic Biomarkers in Mental Disorders: Bipolar Disorder and Schizophrenia -- 14.1 Introduction -- 14.1.1 Metabolomic Biomarkers -- 14.2 Biomarkers in Psychiatric Disorders -- 14.2.1 Metabolomic Biomarkers in Bipolar Disorder -- 14.2.2 Metabolomic Biomarkers in Schizophrenia -- 14.3 Samples, Methodology, and Techniques: Concerns -- 14.3.1 Softwares and Databases -- 14.3.2 NMR × MS -- 14.4 Conclusion -- References -- Chapter 15: Early Detection and Treatment of Patients with Alzheimer's Disease: Future Perspectives -- 15.1 Introduction -- 15.2 Physical Signs of Alzheimer's Disease -- 15.3 The Benefits of Early Detection -- 15.4 Treatment Approaches. 15.5 New Treatments for Alzheimer's Disease -- 15.5.1 Statins -- 15.5.2 Anti-inflammatory Agents -- 15.5.3 Caffeine -- 15.5.4 Diet and Physical Exercise -- 15.6 Imaging Biomarkers for Diagnosis and Monitoring of Alzheimer's Disease -- 15.6.1 Aβ Deposition -- 15.6.2 Inflammation -- 15.6.3 Neurofibrillary Tangles -- 15.6.4 Metabolism -- 15.7 Biomarkers in Body Fluids -- 15.7.1 Cerebrospinal Fluid -- 15.7.2 Blood, Serum and Plasma -- 15.8 Future Perspectives -- 15.8.1 Advances in Imaging -- 15.8.2 Lab-on-a-Chip -- 15.8.3 Smartphone Applications -- 15.9 Conclusions -- References -- Index. EBL202005 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5702850 ebook n 202018 202005 21 PUBLIC https://catalogue.library.cern/legacy/2716812 BOOK MIGRATED 2716809 SzGeCERN 20210421200829.0 9783030041106 electronic version electronic version 9783030041090 print version oai:cds.cern.ch:2716809 cerncds:BOOK EBL 5702833 eng TA1-2040 006.3 Al-Turjman, Fadi Artificial intelligence in IoT Cham Springer 2019 235 p ebook Transactions on computational science and computational intelligence Intro -- Preface -- Contents -- About the Editor -- A Systematic Review of the Convergence of Augmented Reality, Intelligent Virtual Agents, and the Internet of Things -- 1 Introduction -- 2 Methodology -- 3 Review Topics -- 4 Meta-Review of Publications -- 5 The Convergence of AR and IVA -- 5.1 Meta-Review -- 5.2 Impactful Papers and Trends -- 6 The Convergence of IVA and IoT -- 6.1 Meta-Review -- 6.2 Impactful Papers and Trends -- 7 The Convergence of AR and IoT -- 7.1 Meta-Review -- 7.2 Impactful Papers and Trends -- 8 The Nexus of IVA, IoT, and AR -- 9 Conclusion -- References -- Improving the Physical Layer Security of IoT-5G Systems -- 1 Introduction -- 2 Preliminaries and System Model -- 3 Review of OFDM-Subcarrier Index Selection (OFDM-SIS) -- 4 Proposed OFDM-Subcarrier Index Selection with Artificially Interfering Signals (OFDM-SIS-AIS) -- 5 Performance Analysis -- 5.1 Error Probability Associated with Bob and Eve -- 5.2 Secrecy Outage Probability -- 6 Simulation Results -- 7 Conclusion -- References -- Emotional ANN (EANN): A New Generation of Neural Networks for Hydrological Modeling in IoT -- 1 Introduction -- 2 Emotion in ANNs -- 3 Difference Between EANN and Simple ANN -- 4 Application of EANN for Hydrological Modeling -- 5 The Internet of Things (IoT) in Hydro-Environmental Studies -- References -- Smart Tourism Destination in Smart Cities Paradigm: A Model for Antalya -- 1 Introduction -- 2 Smartness, Smart City, and Smart Tourism Destination -- 3 Smart Tourism Destination Instruments and Platforms -- 3.1 Computational Intelligence -- 3.2 Machine Learning -- 3.3 Cognitive Networks and Multi-agent Systems -- 3.4 Context-Aware Computing -- 4 The STD Framework -- 4.1 Antalya as an STD -- 4.2 An STD Model for Antalya -- 5 Concluding Remarks -- References -- A Hybrid Approach for Image Segmentation in the IoT Era -- 1 Introduction. 2 Related Work -- 3 Clustering Methods -- 3.1 Weighted Binary Partition Tree -- 3.2 Spectral Clustering -- 4 Proposed Methodology -- 5 Results and Discussion -- 6 Chapter Summary -- References -- Big Data Analytics for Intelligent Internet of Things -- 1 Introduction -- 2 Definition of Big Data -- 3 Challenges with Big Data -- 3.1 Data Representation -- 3.2 Redundancy -- 3.3 Privacy and Security -- 3.4 Energy Efficiency -- 3.5 Challenges with Big IoT Data -- 4 Taxonomy of Big Data Analytics -- 4.1 Acquisition and Storage -- 4.1.1 Big Data Acquisition -- 4.1.2 Big Data Storage -- 4.2 Programming Model -- 4.3 Benchmark -- 4.4 Big Data Analytics -- 4.4.1 Timeliness of Analysis -- 4.4.2 Analysis at Different Levels -- 4.4.3 Analysis with Different Complexity -- 4.5 Tools for Big Data Mining and Analysis -- 4.5.1 R -- 4.5.2 Excel -- 4.5.3 RapidMiner -- 4.5.4 KNMINE -- 4.5.5 Weka -- 4.6 Applications of Big Data -- 4.6.1 Business Applications -- 4.6.2 Social Applications -- 4.6.3 Scientific Applications -- 4.6.4 Application of Intelligent IoT-Based Big Data -- 5 Conclusion and Research Directions -- References -- Blockchain and Internet of Things-Based Technologies for Intelligent Water Management System -- 1 Introduction -- 2 Overview of Background Concepts -- 2.1 Internet of Things -- 2.1.1 Technical Definition, Features, and Architecture -- 2.1.2 IoT Technical Issues and Challenges -- 2.2 Blockchain -- 2.2.1 Technical Definition and Features -- 2.2.2 Components of Blockchain -- 2.2.3 Blockchain Stakeholders -- 2.2.4 Benefits of Blockchain to IoT IWMS -- 2.2.5 Comparison of IoT with Blockchain -- 2.2.6 Blockchain-IoT Integration Challenges and Solutions -- 2.3 Intelligent Water Management Network and System -- 3 Blockchain-IoT Solutions for Smart Water Management -- 3.1 Overview of Global Perspective -- 3.2 African Perspective. 3.3 Blockchain-IoT Conceptual Framework -- 4 Potential Use Cases in Intelligent Water Management -- 4.1 Stormwater Management -- 4.2 Water Quality Monitoring and Reporting -- 4.3 Smart Payment and Contract -- 5 Conclusion -- References -- Digital Forensics for Frame Rate Up-Conversion in Wireless Sensor Network -- 1 Introduction -- 2 Background Knowledge -- 2.1 Forensics of FR Forgery -- 2.2 MC-FRUC -- 3 Proposed Forensics Algorithm -- 3.1 Edge Feature Extraction -- 3.2 Periodicity Detection -- 4 Experimental Results and Analysis -- 4.1 Performance Analysis -- 4.2 Detection Results -- 5 Conclusions -- References -- A Neuro-fuzzy-Based Multi-criteria Risk Evaluation Approach: A Case Study of Underground Mining -- 1 Introduction -- 1.1 Original Contribution -- 1.2 Occupational Health and Safety -- 1.3 Occupational Health and Relevant Terms -- 1.4 Occupational Safety and Relevant Terms -- 1.5 Management Concept in OHS -- 2 Risk Assessment in OHS -- 2.1 OHS Studies in Underground Mining and Current Status -- 2.2 Risk Assessment in Multi-criteria Decision-Making Methods -- 2.2.1 5=5 Matrix Risk Assessment Methodology -- 3 Fuzzy Logic and ANFIS -- 3.1 ANFIS -- 3.1.1 ANFIS Structure -- 3.2 OHS Risk Assessment in Underground Mining: A Case Study Using Multi-criteria Fuzzy Logic Approach -- 4 Implementation -- 5 Results and Recommendations -- Appendix -- References -- Intelligent IoT Communication in Smart Environments: An Overview -- 1 Introduction -- 2 Smart Cities Around the World -- 3 Smart City Demarcation -- 4 A Connected City -- 5 Telecommunication in Smart Cities -- 6 Conclusion -- References -- Index. EBL202005 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5702833 ebook n 202018 202005 21 PUBLIC https://catalogue.library.cern/legacy/2716809 BOOK MIGRATED 2716777 SzGeCERN 20210421200833.0 9783030027261 electronic version electronic version 9783030027254 print version oai:cds.cern.ch:2716777 cerncds:BOOK EBL 5654954 eng HF4999.2-6182 658.403 Munier, Nolberto Strategic approach in multi-criteria decision making a practical guide for complex scenarios Cham Springer 2019 276 p ebook International series in operations research & management science 275 Intro -- Preface and Road Map -- Book Structure -- Introduction -- Contents -- Part I: History of MCDM and How It Is Performed -- Chapter 1: Multi-Criteria Decision-Making, Evolution and Characteristics -- 1.1 History and Evolution of  Multi-Criteria Decision-Making Methods -- 1.1.1 Some Background Information on Decision-Making -- 1.2 Introduction to Most Common and Used Heuristic Methods -- 1.3 The Decision-Making Paradox -- 1.4 Which Is the Best MCDM Method? -- 1.5 Considering and Modelling Reality -- 1.6 Is It Possible to Represent Reality Faithfully? -- 1.7 Conclusion of This Chapter -- References -- Chapter 2: The Initial Decision Matrix (IDM) and Its Fundamental Role in Modelling a Scenario -- 2.1 Basic Components of the Initial MCDM Decision Matrix -- 2.1.1 Stakeholders -- 2.1.2 Decision-maker or Group of DMs -- 2.1.3 Objective(s) that the Scenario Must Attain -- 2.1.4 Scenario(s) -- 2.1.5 Alternatives, Projects or Options -- 2.1.6 Criteria -- 2.1.6.1 Areas Included in Criteria -- Areas -- 2.1.6.2 Capacity of Criteria to Evaluate Alternatives -- 2.1.6.3 Actions for Criteria -- 2.1.6.4 Resources and Restrictions for Criteria -- 2.1.6.5 Criteria Duality -- 2.1.7 Performance Values -- 2.1.8 Decision Matrix -- 2.1.9 Methods -- 2.2 Routines to Perform with Data -- 2.2.1 Normalization -- 2.3 Rank Reversal -- 2.3.1 Possible Causes for RR -- 2.3.2 Brief Information on Rank Reversal in Different MCDM Methods -- 2.3.2.1 Rank Reversal in AHP -- 2.3.2.2 Rank Reversal in TOPSIS -- 2.3.2.3 Rank Reversal in PROMETHEE -- 2.3.2.4 Rank Reversal in ELECTRE -- 2.3.2.5 Rank Reversal in SAW -- 2.4 The Uncertain Best Solution -- 2.5 Characteristics of Components of the Initial Decision Matrix (IDM) -- 2.5.1 The MCDM Process as a System -- 2.5.2 Alternatives Relationships -- 2.5.3 Alternatives Heavily Related: A Case - Selecting Proposals. 2.5.4 Including and Excluding Alternatives: Conditions by a Third Party -- 2.5.4.1 Actual Cases -- 2.5.5 Forced Alternatives: An Actual Case - Fulfilment of Previous Commitments -- 2.5.6 Criteria Selection -- 2.5.7 Resources: An Actual Case - Oil Refinery -- 2.5.8 Criteria Range -- 2.5.9 Annual Budget Restriction: An Actual Case - 5-Year Development Plan -- 2.5.10 Criteria Correlation -- 2.5.11 Risk: A Fundamental Criterion -- 2.5.12 Examining Differences in Results for the Same Problem Between Assumed Weights and Weights from Entropy: Case Study - Electrical Transmission Line -- 2.5.13 Working with a Variety of Performance Values: An Actual Case - Environmental Indicators -- 2.5.14 The 'Z' Method for Determining Some Performance Values for Qualitative Criteria -- 2.5.15 The Z Matrix: Case Study - Determining Risk Performance Values for Inputting in Risk Criteria -- 2.5.16 Need to Work with Performance Values Derived from Another Data Table -- 2.5.17 Conditioning the Decision Matrix to Obtain a Specified Number of Results -- 2.6 Additional Conditions Required for Methods -- 2.7 Sensitivity Analysis -- 2.7.1 The Two Types of Sensitivity Analysis -- 2.7.2 A Critical Analysis of the Way Sensitivity Analysis Is Performed Nowadays -- 2.8 Conclusion of This Chapter -- References -- Part II: What Should Be Done in the MCDM Process -- Chapter 3: How to Shape Multiple Scenarios -- 3.1 Introduction -- 3.2 Developing the Best Strategy: Case Study - Selecting Projects for Agribusiness Activities in Different Scenarios -- 3.3 Solving the Problem -- 3.4 Conclusion of This Chapter -- References -- Chapter 4: The Decision-Maker, A Vital Component of the Decision-Making Process -- 4.1 Decision-Maker (DM) Functions: Interpretation of Reality -- 4.1.1 First Level: Building the Initial Decision Matrix -- 4.1.2 Second Level: Selecting a Method to Use. 4.1.3 Third Level: Following the Computing Process -- 4.1.4 Fourth Level: Examining the Result -- 4.1.5 Synergy Between the DM and the Model -- 4.2 Conclusion of This Chapter -- References -- Chapter 5: Design of a Decision-Making Model Reality-Wise: How Should It Be Done? -- 5.1 Modelling -- 5.2 Interpreting Reality -- 5.2.1 Areas Where Reality Is Not in General Interpreted -- 5.2.1.1 Scenarios -- 5.2.1.2 Alternatives -- 5.2.1.3 Criteria -- 5.2.1.4 Performance Values -- 5.2.1.5 Results Delivered by MCDM Methods -- 5.3 Check List for Aspects to Be Normally Considered When Modelling -- 5.4 Working Template for Modelling a Scenario in MCDM and for Selecting a Method to Solve It -- 5.5 Conclusion of This Chapter -- References -- Part III: Proposing the SIMUS Method for a Strategic Procedure to Manage Real-World Scenarios -- Chapter 6: Linear Programming Fundamentals -- 6.1 Basic Mathematical Background -- 6.2 The Initial Decision Matrix (IDM) -- 6.3 Solving the LP Problem Graphically: Case Study - Power Plant Based in Solar Radiation -- 6.4 The Two Sides of a Coin -- 6.5 Description of the Method -- 6.6 Graphical Explanation of Correlation -- 6.7 Is Rank Reversal Present in Linear Programming? -- 6.8 Conclusion of This Chapter -- References -- Chapter 7: The SIMUS Method -- 7.1 Background Information -- 7.2 How SIMUS Works: Case Study - Power Plant Based in Solar Radiation -- 7.2.1 Normalization by SIMUS -- 7.3 SIMUS Application Example: Case Study - Power Plant Based in Solar Radiation -- 7.4 Special Circumstances -- 7.4.1 Ties in Scores -- 7.4.2 Need to Use Formulae for Performance Factors -- 7.4.3 Errors in the Decision Matrix -- 7.4.4 Dealing with Non-lineal Criteria -- 7.5 Is SIMUS Affected by Rank Reversal? -- 7.6 Testing SIMUS in Rank Reversal -- 7.6.1 Case 1: Investment in Renewable Sources of Energy. 7.6.2 Case 2: Rehabilitation of Abandoned Urban Land -- 7.6.3 Case 3: Determining Sustainable Indicators -- 7.6.4 Conclusion of This Section -- 7.7 Solving Multi-scenarios Simultaneously -- 7.7.1 Analysis of Global Solution: What to Produce and Where? -- 7.7.2 What Projects Go into Each Scenario -- 7.8 Conclusion of This Chapter -- References -- Chapter 8: Sensitivity Analysis by SIMUS: The IOSA Procedure -- 8.1 Background Information -- 8.1.1 Example: Agroindustry for Export -- 8.2 Data that the DM Must Input in IOSA -- 8.3 DM Analysis -- 8.4 Sequence for Sensitivity Analysis by SIMUS/IOSA -- 8.5 Report to Stakeholders: Type of Concerns and Questions Expressed by the Stakeholders Relative to This Production Problem and DM Answers -- 8.6 Conclusion of This Chapter -- References -- Chapter 9: Group Decision-Making: Case Study - Highway Construction -- 9.1 Background Information -- 9.2 Construction of the Decision Matrix: A Case - Construction of a Highway in China -- 9.3 Loading Data into SIMUS -- 9.4 Step-by-Step Analysis -- 9.5 Detailed Analysis by the Group -- 9.5.1 First Objective (Minimize Construction Cost) -- 9.5.2 Second Objective (Minimize Maintenance Cost) -- 9.5.3 Third Objective (Minimize Delays in Transit) -- 9.5.4 Fourth Objective (Maximize Safety) -- 9.5.5 Fifth Objective (Maximize Lighting) -- 9.5.6 Sixth Objective (Minimize Breaking Connectivity Between Areas due to the Highway) -- 9.5.7 Seventh Objective (Minimize Construction Time) -- 9.5.8 Eighth Objective (Environmental Impacts) -- 9.5.9 Ninth Objective (Minimize Traffic Noise) -- 9.6 Conclusion of This Chapter -- References -- Chapter 10: SIMUS Applied to Quantify SWOT Strategies -- 10.1 Background -- 10.2 Procedure -- 10.3 Application Example: Strategy for Fabricating Electric Cars (Case Study) -- 10.4 Construction of the Numerical SWOT Matrix -- 10.4.1 Market and Government. 10.5 Preparing an Excel Matrix with Data -- 10.6 Discussion -- 10.7 Conclusion of This Chapter -- References -- Chapter 11: Analysis of Lack of Agreement Between MCDM Methods Related to the Solution of a Problem: Proposing a Methodology for Comparing Methods to a Reference -- 11.1 Objective of This Section -- 11.2 Causes for Discrepancies on Results -- 11.3 Subjective Preferences -- 11.3.1 Subjective Weights -- 11.3.2 Objective Weights -- 11.3.3 Inconsistencies -- 11.3.4 Evaluating Results -- 11.3.5 The Proxy Approach -- 11.3.6 Selecting a MCDM Method -- 11.3.7 The DM Role -- 11.3.8 What MCDM Method Can Be Chosen as a Proxy? -- 11.3.9 Measuring Similitude Between Rankings -- 11.3.10 Example as How Rankings Can Be Compared -- 11.4 Conclusion of This Chapter -- References -- Chapter 12: Some Complex and Interesting Cases Solved by SIMUS -- 12.1 Case Study: Simultaneous Multiple Contractors Selection for a Large Construction Project -- 12.1.1 Background Information -- 12.1.2 The Case: Construction of a Large Power Plant -- 12.1.2.1 Analysis -- 12.1.3 Conclusion of This Case -- 12.2 Case Study: Quantitative Evaluation of Government Policies Regarding Penetration of Advanced Technologies -- 12.2.1 Background Information -- 12.2.2 Process Structure -- 12.2.3 The Case -- 12.2.4 Analysis of Different Policies -- 12.2.5 Conclusion of This Case -- 12.3 Case Study: Selecting Hydroelectric Projects in Central Asia -- 12.3.1 Background Information -- 12.3.2 Conclusion of This Case -- 12.4 Upgrading Infrastructure: Case Study - Community Infrastructure Upgrading for Villages in Ghana -- 12.4.1 Background Information -- 12.4.2 Areas and Data -- 12.4.2.1 Analysis -- Regarding People -- Regarding Hectares -- Regarding Costs -- 12.4.3 Conclusion for This Case. 12.5 Case Study: Urban Development Study for the Extended Urban Zone of Guadalajara, According to Sustainability Indicators, Mexico. EBL202005 XX SzGeCERN BOOK Hontoria, Eloy Jiménez-Sáez, Fernando https://cds.cern.ch/auth.py?r=EBLIB_P_5654954 ebook n 202018 202005 21 PUBLIC https://catalogue.library.cern/legacy/2716777 BOOK MIGRATED 2716771 SzGeCERN 20210421200834.0 9783319955971 electronic version electronic version 9783319955964 print version oai:cds.cern.ch:2716771 cerncds:BOOK EBL 5649716 eng QA75.5-76.95 006.22 Flammini, Francesco Resilience of cyber-physical systems from risk modelling to threat counteraction Cham Springer 2019 237 p ebook Advanced sciences and technologies for security applications Intro -- Foreword -- Preface -- Contents -- Editorial Advisory Board -- Additional Reviewers -- Part I Challenges and Frameworks -- Complex, Resilient and Smart Systems -- 1 Introduction: From Automated Machine to Autonomous Smart Machine -- 2 Usability, Environmental Performance, Smartness and Resilience -- 2.1 Usability Index and the Usability Index of Machine - UIoM -- 2.2 Environmental Performance Index of Machines - EPIoM -- 3 The Implementation of Complex, Resilient and Smart Systems -- 3.1 Smart Device - Smart Agent -- 3.2 Smart Systems - Smart Multi-agent Systems -- 3.3 Smart Complex Systems Network - Ad-hoc Networked Smart Multi-agent System Sociograms -- 4 From Machine Intelligence Theory to Smart Machine Theory -- 4.1 Smart Cyberspace Theory - The Intelligent Cyberspace and the Smart Cyberspace -- 5 Smartness Theory, Smartness Quotient -- 6 Conclusion -- References -- Challenges and Opportunities for Model-Based Security Risk Assessment of Cyber-Physical Systems -- 1 Introduction -- 1.1 Structure -- 2 Background and Open Challenges -- 2.1 Cyber-Security Risk Assessment Methodologies -- 2.2 CPS Design Languages for Security -- 2.3 Open Challenges -- 3 Model-Driven Cyber-Security Risk Assessment -- 3.1 CPS Formal Model and Abstraction Level -- 3.2 Attacker Models -- 3.2.1 Profiling the Attacker -- 3.3 Vulnerability and Cost Models -- 3.3.1 Mitigation/Exploitation Cost of Vulnerability Exploits -- 3.3.2 A High-Level Representation of Vulnerabilities -- 4 A Vision for CPS Security Risk Assessment -- 5 Conclusion -- References -- A Comprehensive Framework for the Security Risk Management of Cyber-Physical Systems -- 1 Introduction -- 2 Aspects and Requirements -- 2.1 Cyber Physical System Security -- 2.2 Threats and Vulnerabilities -- 2.3 Security Requirements -- 2.4 Dependencies and Accumulated Risk. 3 A Comprehensive Framework for the Risk Management- Cybersecurity in CPS -- 3.1 System Functional Modeling (Asset Modeling) -- 3.2 Threat Selection and Modeling -- 3.3 Risk Management Plan -- 3.4 Safeguard Implementation: Operations -- 3.5 Vulnerability Assessment -- 3.6 Compliance -- 3.7 Maintenance and Improvements -- 4 Case Study: Adopting the Framework by Ansaldo STS Company -- 4.1 System Functional Model -- 4.2 Threat Modeling and Selection: Using RMAT Software -- 4.3 Conducting Risk Management Study Using MAGERIT Method -- 4.4 Safeguard Implementation -- 4.5 Vulnerability Assessment for Cyber Assets -- 4.6 Compliance -- 4.7 Maintenance and Improvement -- 5 Conclusion -- References -- Part II Evaluation Methodologies and Tools -- Supporting Cybersecurity Compliance Assessment of Industrial Automation and Control System Components -- 1 Introduction -- 2 Related Works -- 3 Introduction to IEC 62443 -- 4 Case Study: Remote Terminal Unit -- 4.1 Component Description -- 4.2 Protection Profile of RTU -- 5 Support for Representing Security Requirements -- 5.1 Representing Conformance Arguments -- 5.2 From Security Functions to Component Requirements -- 6 Support for Conformance Assessment -- 7 Conclusions -- References -- Quantitative Evaluation of the Efficacy of Defence-in-Depth in Critical Infrastructures -- 1 Introduction -- 2 Problem Statement -- 3 The Case Study -- 3.1 The Cyber-Physical System under Study -- 3.2 Modelling Protection Devices -- 3.3 Modelling Cyber-Attacks -- 4 Results -- 4.1 High Fidelity Vs. Abstract Adversary Models -- 4.2 Quantification of Defence-In-Depth Using the Abstract Model -- 5 Discussion -- 6 Related Research -- 7 Conclusions and Future Research -- A.1 Appendices -- A.1.1 Appendix A: Model of Power Line -- A.1.2 AppendixB:ADetailedDescriptionofAttacksonaBreaker -- References. A Model-Driven and Generative Approach to Holistic Security -- 1 Introduction -- 2 The C-IME Modelling Environment -- 3 Model-to-Code Generation in C-IME -- 4 Hardware-Based Holistic Security -- 4.1 SEcube Security Platform -- 4.2 SEcube API -- 5 Case Study: A To-Do List Management Application -- 5.1 The To-Do List Management Application -- 5.2 To-Do List Management Application Model -- 5.3 Modelling a Secure Code Generator -- 5.4 Ready for Cloud Storage -- 6 Conclusion -- References -- Part III Industrial Applications -- Multi-range Decoy I/O Defense of Electrical Substations Against Industrial Control System Malware -- 1 Introduction -- 2 ICS Malware vs. Current Defensive Deception -- 3 The Prospect of Industrial Mirage -- 4 OS Kernel Interventions -- 4.1 Decoy I/O Devices -- 4.2 Decoy User-Space Activity -- 4.3 Decoy ICS Targets -- 4.4 Safety and Usability -- 5 Other Tools and Techniques -- 5.1 Deception Algorithms -- 5.2 Deception-Guided Big Data Analytics -- 5.3 Future Work: Hardware Support -- 6 Evaluation -- 7 Conclusions -- References -- Flood Resilience of a Water Distribution System -- 1 Introduction -- 2 Application Context -- 3 Methodology -- 3.1 General Structure -- 3.2 Analysis of the Inundation Model -- 3.3 Analysis of the WSS Model -- 3.4 Definition of Measures -- 4 Experimental Results -- 4.1 Flood Dynamics -- 4.2 Water Supply System Dynamics and Sensitivity Analysis -- 4.2.1 Sensitivity to Demand-Response Efficacy -- 4.2.2 Sensitivity to Demand-Response Time Constant -- 4.2.3 Sensitivity to Demand-Response Start Time -- 5 Conclusions -- References -- A Non-parametric Cumulative Sum Approach for Online Diagnostics of Cyber Attacks to Nuclear Power Plants -- Abbreviations -- Nomenclature -- 1 Introduction -- 2 Hazards and Threats for CPSs -- 2.1 Hazards -- 2.2 Threats -- 2.3 Hazards and Threats Diagnosis. 3 The Advanced Lead-Cooled Fast Reactor European Demonstrator -- 3.1 ALFRED Description -- 3.2 The Reactor Digital Control Scheme -- 3.3 Failures and Cyber Breaches -- 4 The Nonparametric Cumulative Sum Approach for Real-Time Diagnostics of Cyber Attacks -- 4.1 The Diagnostic Approach -- 5 Results -- 5.1 Bias Failure Mode -- 5.2 Drift Failure Mode -- 5.3 Wider Noise Failure Mode -- 5.4 Freezing Failure Mode -- 6 Performance of the Diagnostic Approach -- 7 Conclusions -- Appendix A: The NP-CUSUM Algorithm -- References -- Index. EBL202005 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5649716 ebook n 202018 202005 21 PUBLIC https://catalogue.library.cern/legacy/2716771 BOOK MIGRATED 2716761 SzGeCERN 20210421200835.0 9783030026745 electronic version electronic version 9783030026738 print version oai:cds.cern.ch:2716761 cerncds:BOOK EBL 5615410 eng TA1-2040 006.3 Anandakumar, H Computational intelligence and sustainable systems intelligence and sustainable computing Cham Springer 2019 304 p ebook EAI/Springer innovations in communication and computing Intro -- Preface -- Contents -- About the Editors -- Chapter 1: Performance Analysis of Deep Neural Network and Stacked Autoencoder for Image Classification -- 1.1 Introduction -- 1.1.1 Open Issues and Challenges -- 1.2 Methodology -- 1.2.1 Training Process of Autoencoder -- 1.2.2 Training Process of Deep Neural Network -- 1.2.3 Importance of Autoencoders and Deep Neural Network -- 1.3 Algorithm -- 1.3.1 Supervised Learning -- 1.3.2 Parameters -- 1.3.2.1 Weight Regularization -- 1.3.2.2 Sparsity Regularization -- 1.3.2.3 Sparsity Proportion -- 1.3.2.4 Accuracy and Loss -- 1.3.2.5 Time -- 1.4 Dataset -- 1.4.1 MNIST Dataset -- 1.5 Results and Discussion -- 1.6 Summary -- 1.7 Future Research Direction -- References -- Chapter 2: Soft Computing-Based Void Recovery Protocol for Mobile Wireless Sensor Networks -- 2.1 Introduction -- 2.1.1 Applications of Wireless Sensor Network -- 2.1.1.1 Disaster Relief Applications -- 2.1.1.2 Healthcare Monitoring -- 2.1.1.3 Air Pollution Monitoring -- 2.1.1.4 Precision Agriculture -- 2.1.1.5 Intelligent Traffic System -- 2.1.2 Geographic Routing -- 2.1.2.1 Benefits of Using Geographic Routing -- 2.1.3 Soft Computing Techniques -- 2.1.4 Motivation -- 2.2 Neuro-Fuzzy-Based Selection of Best Forwarding Node -- 2.3 Void Recovery Routing Protocol -- 2.3.1 Void Node Problem -- 2.3.1.1 Void Node Problem -- 2.3.2 Dynamic Void Recovery Routing Protocol (DVRRP) -- 2.3.3 Modules -- 2.3.3.1 Location Management -- 2.3.3.2 Forwarding Node Selection -- 2.3.3.3 Forwarding Node Selection -- 2.3.4 Neuro-Fuzzy System Parameters -- 2.3.4.1 Residual Energy -- 2.3.4.2 Distance to Sink -- 2.3.4.3 Hop Count -- 2.3.4.4 Number of Neighbours -- 2.3.4.5 Depth of Node -- 2.3.4.6 Direction of Node -- 2.3.4.7 Possibility of Selection -- 2.4 Performance Analysis -- 2.4.1 Simulation Setup -- 2.4.2 Initial Network Setup -- 2.4.3 Network After 20 s. 2.4.4 Location Update -- 2.4.5 Generation of Packet -- 2.4.6 Event Ordering -- 2.4.7 Results Analysis -- 2.4.7.1 Measurement of End-to-End Delay vs Number of Nodes -- 2.4.7.2 Measurement of End-to-End Delay vs Number of Packets -- 2.4.7.3 Measurement of Miss Ratio vs Number of Packets -- 2.4.7.4 Measurement of Energy vs Number of Packets -- 2.4.7.5 End-to-End Delay for Varying Network Size -- 2.5 Summary -- References -- Chapter 3: Latest Research Trends and Challenges of Computational Intelligence Using Artificial Intelligence and Augmented Rea... -- 3.1 Introduction -- 3.2 Literature Survey -- 3.3 Types of AR -- 3.3.1 Projection-Based AR -- 3.3.2 Recognition-Based AR -- 3.3.3 Location-Based AR -- 3.3.4 Outlining AR -- 3.3.5 Superimposition-Based AR -- 3.4 Advantages of AR -- 3.5 Limitations of AR -- 3.6 Applications of AR -- 3.6.1 Business -- 3.6.2 Education and Training -- 3.6.3 Industrial Applications -- 3.6.4 Finance -- 3.6.5 Medical -- 3.6.6 Military -- 3.6.7 Entertainment -- 3.7 Challenges in Using AR -- 3.7.1 Limited Hardware Capabilities -- 3.7.2 Software Issues -- 3.7.3 Environment -- 3.7.4 Unsatisfying Experience -- 3.7.5 Uncomfortable Architecture -- 3.7.6 Content -- 3.7.7 Social Challenges -- 3.7.7.1 The Risk of Physical Safety -- 3.7.7.2 Public Acceptance -- 3.7.8 Augmented Reality Accessibility and Education -- 3.7.9 Key Design Challenges -- 3.7.10 New Capabilities -- 3.7.10.1 Operating System Support for Object Semantics -- 3.7.10.2 Supporting Novel Inter-app Interactions -- 3.8 Current Trends of AR -- 3.9 Summary -- References -- Chapter 4: Efficient Evolutionary Techniques for Wireless Body Area Using Cognitive Radio Networks -- 4.1 Introduction -- 4.2 Literature Survey -- 4.3 Evolution of Cognitive Radio-Enabled WBAN -- 4.4 Application of WBANs -- 4.4.1 Remote Patient Monitoring -- 4.4.2 Rehabilitation -- 4.4.3 Biofeedback. 4.4.4 Assisted Living -- 4.5 Cooperative Spectrum Sensing During Handover -- 4.6 Energy Efficiency in Cognitive-Enabled BAN -- 4.7 Machine Intelligence for Data Transmission -- 4.8 Summary -- References -- Chapter 5: Artificial Intelligence and Machine Learning for Large-Scale Data -- 5.1 Introduction -- 5.2 The Artificial Intelligence and Machine Learning for Large-Scale Data Sets -- 5.3 Summary -- References -- Chapter 6: Impact of Green Practices on Pakistani Manufacturing Firm Performance: A Path Analysis Using Structural Equation Mo... -- 6.1 Introduction -- 6.2 Literature Review -- 6.2.1 Management Green Approach and Green Practices -- 6.2.2 Environmentally Friendly Practices and Enterprise´s Performance -- 6.3 Data Collected and Research Methodology -- 6.4 Results and Discussion -- 6.5 Summary -- 6.6 Challenges, Limitations and Directions for Future Research -- References -- Chapter 7: Cluster-Based Health Monitoring Scheme in Wireless Sensor Networks -- 7.1 Introduction -- 7.2 Electronic/Mobile Healthcare -- 7.3 Literature Survey -- 7.4 Challenges and Opportunities in Health Monitoring System -- 7.4.1 Challenges -- 7.4.2 Opportunities -- 7.5 Proposed System Model -- 7.5.1 Patients Monitoring Device -- 7.5.2 Central Server Application -- 7.5.3 Mobile Application -- 7.5.4 Group Send-Receive Model Technique -- 7.5.5 Blowfish Algorithm -- 7.6 Evaluation and Discussion -- 7.7 Summary -- References -- Chapter 8: Design and Implementation of an Area- and Delay-Efficient FxLMS Filter for Active Noise Cancellation -- 8.1 Introduction -- 8.2 Designing an Efficient Convolution Operation Unit -- 8.3 Proposed Architecture -- 8.3.1 FxLMS Design -- 8.4 Submodules of the Proposed System -- 8.5 Implementation and Results -- 8.5.1 Input and Output Parameters (Tables 8.1 and 8.2) -- 8.5.2 Output Simulation Results. 8.5.3 Register-Transfer Level Design of the LMS 8 Tab for the Existing System -- 8.5.4 Synthesis Report for Area in the Existing System -- 8.5.5 Synthesis Report for Delay in the Existing System -- 8.5.6 RTL Design of the LMS Filter for the Proposed System -- 8.5.7 Synthesis Report for Area in the Proposed System -- 8.5.8 Synthesis Report for Delay in the Proposed System -- 8.5.9 Comparison of Results -- 8.5.10 Signal Analyzer Tap for Hardware Simulation -- 8.6 Conclusion -- References -- Chapter 9: Aspect-Based Text Summarization Using MapReduce Optimization -- 9.1 Introduction -- 9.2 Literature Survey -- 9.3 The Proposed Aspect Summarization Technique -- 9.3.1 Preprocessing and Feature Identification -- 9.3.2 Proposed MapReduce Algorithm -- 9.3.3 In-Node Combiner Function -- 9.4 Evaluations and Discussion -- 9.4.1 Movie Dataset -- 9.4.2 Product Dataset -- 9.5 Summary -- References -- Chapter 10: A Hill-Climbing Approach for Residue Mapping in Protein Structure Alignment -- 10.1 Introduction -- 10.2 Literature Review -- 10.3 Proposed Approach -- 10.4 Results -- 10.5 Summary -- References -- Chapter 11: Hardcopy Text Recognition and Vocalization for Visually Impaired and Illiterates in Bilingual Language -- 11.1 Introduction -- 11.1.1 Image Processing Overview -- 11.1.2 Digital Image Processing -- 11.1.3 Fundamentals in Digital Image Processing -- 11.1.4 Embedded System -- 11.2 Literature Survey -- 11.2.1 Existing System Challenges -- 11.3 Proposed Work -- 11.3.1 Image Acquisition -- 11.3.2 Character Recognition -- 11.3.2.1 Working Process of OCR -- 11.3.2.2 Preprocessing -- 11.3.2.3 Segmentation -- Line Segmentation -- Character Segmentation -- 11.3.2.4 Feature Extraction -- 11.3.2.5 Classification -- 11.3.3 Text to Speech -- 11.4 Implementation Process -- 11.5 Summary -- References. Chapter 12: Investigation of Non-natural Information from Remote Sensing Images: A Case Study Approach -- 12.1 Introduction -- 12.2 Remote Sensing Images -- 12.2.1 Remote Sensing Image Resolution -- 12.3 Road Detection from Remote Sensing Images -- 12.3.1 Challenges in Road Detection -- 12.3.2 Road Detection Methodology -- 12.4 Preprocessing -- 12.5 Information Segmentation -- 12.5.1 Supervised Classification Methods -- 12.5.1.1 Artificial Neural Network -- 12.5.1.2 Support Vector Machine -- 12.5.1.3 Markov Random Field -- 12.5.1.4 Maximum Likelihood -- 12.5.1.5 K Nearest Neighbor -- 12.5.1.6 Decision Trees -- 12.5.1.7 Image Segmentation -- 12.5.1.8 Object-Based Segmentation -- 12.5.2 Unsupervised Classification Methods -- 12.5.2.1 Interactive Self-Organization Data Analysis -- 12.5.2.2 Clustering Methods -- 12.5.2.3 Mean Shift -- 12.5.2.4 Graph Theory -- 12.5.3 Hybrid Classification -- 12.6 Postprocessing -- 12.6.1 Non-road Region Filtering -- 12.6.1.1 Trivial Opening -- 12.6.1.2 Directional Morphological Filtering -- 12.6.1.3 Shape Analysis -- 12.6.1.4 Minimum Area Bounding Rectangle -- 12.6.1.5 Medial Axis Transform -- 12.6.2 Segment Linking -- 12.6.3 Thinning -- 12.7 Future Research -- 12.8 Summary -- References -- Chapter 13: Minimization of SCA by CMOS-Based Blurring Gates -- 13.1 Introduction -- 13.2 Literature Survey -- 13.3 Contribution of the Proposed Work -- 13.4 The Proposed System -- 13.5 Test Benches and Simulation Software -- 13.6 Experiment Results -- 13.7 Summary and Future Work -- References -- Chapter 14: Linux-Based Elevator Control System -- 14.1 Introduction -- 14.2 Literature Survey -- 14.3 Methodology -- 14.3.1 Unit -- 14.3.2 Equations -- 14.4 Component Description -- 14.4.1 STM8S103F3P6 Controller -- 14.4.2 Motor Driver IC (L293D) -- 14.4.3 Voltage Regulator (LM7812, 7805) -- 14.4.4 Push Button -- 14.4.5 16X2 LCD Display. 14.4.6 DC Geared Motor with Quadrature Encoder. EBL202005 XX SzGeCERN EBL Computational intelligence EBL Computer science BOOK Arulmurugan, R Onn, Chow Chee https://cds.cern.ch/auth.py?r=EBLIB_P_5615410 ebook n 202018 202005 21 PUBLIC https://catalogue.library.cern/legacy/2716761 BOOK MIGRATED 2716747 SzGeCERN 20210421200836.0 9783319513430 electronic version electronic version 9783319513423 print version oai:cds.cern.ch:2716747 cerncds:BOOK EBL 4818775 eng QC71.82-73.8 621.042 Bansal, Ramesh Handbook of distributed generation electric power technologies, economics and environmental impacts Cham Springer 2017 813 p ebook Intro -- Preface -- Contents -- DG Technologies -- 1 Distributed Renewable Energy Technologies -- 1.1 Introduction -- 1.2 Solar Photovoltaic Technology -- 1.2.1 Solar Cell Working Principle -- 1.2.2 Solar Cell Electrical Characteristics -- 1.2.3 Photovoltaic Systems for Distributed Generation -- 1.3 Wind Technology -- 1.3.1 Wind Energy Conversion -- 1.3.2 Wind Energy Technologies -- 1.3.3 Fixed-Speed Wind Turbine -- 1.3.4 Variable-Speed Wind Turbine -- 1.3.5 Fully Rated Converter (FRC) Wind Turbine -- 1.3.6 Doubly Fed Induction Generator (DFIG) Wind Turbine -- 1.3.7 Model for SCIG Power Flow Calculation -- 1.3.8 Maximum Power Point Tracking for Variable-Speed Wind Turbines -- 1.3.9 Advantages of Wind Power -- 1.3.10 Disadvantages of Wind Power -- 1.4 Biomass/Biogas Technology -- 1.4.1 Biomass Estimation -- 1.4.2 Biomass Combustion -- 1.4.3 Hydrogen Production from Biomass -- 1.4.4 Biogas Technology -- 1.4.5 Biogas Composition -- 1.4.6 Operating Parameters -- 1.4.7 Anaerobic Digestion Overview -- 1.4.8 Advantages and Disadvantages of Biogas Technology -- 1.4.9 Biogas Technology Applications -- 1.4.10 Biogas for Mobility -- 1.4.11 Generation of Electricity and Heat (CHP) -- 1.4.12 Biogas for the Natural Gas Grid -- 1.5 Small Hydroelectric Power Plants for Distributed Generation -- 1.5.1 Overview -- 1.5.2 Components of a Small Hydropower System -- 1.5.3 System Parameters -- 1.6 Fuel Cells -- 1.6.1 Basic Structure -- 1.6.2 Types of Fuel Cells -- 1.6.3 Applications -- 1.7 Geothermal Technology -- 1.7.1 Current Status of the Geothermal Potential in the World -- 1.7.2 The Technical, Economic and Environmental Benefits of Geothermal Energy -- 1.7.3 Comparison of Geothermal Energy with Other Renewable Energy Resources -- 1.7.4 Geothermal Technology Applications -- 1.7.5 Direct-Use Applications -- 1.7.6 Heat Pumps -- 1.7.7 Geothermal Electricity Production. 1.7.8 Direct Dry Steam -- 1.7.9 Flash Steam Power Plants -- 1.7.10 Binary Cycle Power Plants -- 1.7.11 Levels of Emission from Different Types of Geothermal Energy Power Plants -- 1.7.12 Challenges of Geothermal Technologies -- 1.8 Ocean Thermal Energy Conversion -- 1.8.1 Technology Types -- 1.8.2 Advantages and Disadvantages of OTEC -- 1.9 Conclusion -- References -- 2 Non-renewable Distributed Generation Technologies: A Review -- 2.1 Introduction -- 2.1.1 Technology Description of the Reciprocating Engines -- 2.1.1.1 Comparative Analysis of the Reciprocating Engines -- 2.1.1.2 Applications of the Reciprocating Engines -- Standby Power -- Peak Shaving -- Grid Support -- Combined Heat and Power -- 2.1.2 Classes of Reciprocating Engines -- 2.1.2.1 Methods of Igniting the Fuels -- 2.1.2.2 Operation of a Diesel Engine -- 2.1.2.3 Operation of a Spark-Ignition Engine -- 2.1.2.4 Operating Cycle or Number of Strokes -- 2.1.2.5 Speed -- High Speed -- Medium Speed -- Low Speed -- Ratings -- Standby Generators -- Prime Generators -- Continues Generators -- 2.1.3 Performance of Reciprocating Engines -- 2.1.3.1 Heat Rate -- 2.1.3.2 Efficiency -- 2.1.3.3 Capacity Factor -- 2.1.3.4 Load Factor -- 2.1.4 Emissions -- 2.1.4.1 Sulphur Oxides Emissions -- 2.1.4.2 NOx Emissions -- 2.1.4.3 CO2 Emissions -- 2.1.4.4 CO Emissions -- 2.1.4.5 Emission Control -- 2.1.5 Plant Availability -- 2.1.6 Fuels -- 2.1.6.1 Liquid Fuels -- 2.1.6.2 Natural Gas -- 2.1.6.3 Alternative Gas Fuels -- 2.1.7 Fuel Cost -- 2.1.8 Cost of Electricity Production -- 2.1.9 Maintenance -- 2.2 Microturbines in Distributed Generation System -- 2.2.1 Brief Descriptions -- 2.2.2 Technology Description -- 2.2.2.1 Working Principle -- 2.2.2.2 Classification of Microturbines -- Single-Shaft Microturbine -- Two-Shaft Microturbines -- 2.2.2.3 Comparison Between Single and Two-Shaft Microturbines. 2.2.2.4 Combined Heat and Power -- 2.2.2.5 Fuels -- 2.2.2.6 Thermal Modelling of a Microturbine -- Mass Balance -- Energy Balance -- 2.2.3 Microtubines in Hybrid Energy Systems -- 2.2.3.1 Hybridization of Fuel Cell with Microturbine -- 2.2.3.2 Hybridization of Microturbine with Multiple Energy Sources -- 2.2.3.3 Hybridization of Microturbine with Residential Rooftop Solar PV System -- 2.2.4 Economic Analysis of a Microturbine -- 2.2.4.1 Life Cycle of a Microturbine -- 2.2.4.2 Levelized Cost of a Microturbine -- 2.2.5 Systems Optimization -- 2.2.6 Comparison with Reciprocating Engines -- 2.2.6.1 Advantages -- 2.2.6.2 Disadvantages -- 2.3 Conclusion -- References -- Wind Power Systems -- 3 Large-Scale Wind Generation Development in the Mexican Power Grid: Impact Studies -- 3.1 Overview -- 3.2 System Description and Scenario Definitions -- 3.2.1 The SE Transmission System -- 3.2.2 Operational Challenges Presented by Wind Generation -- 3.3 Short-Term Wind Generation Forecasting -- 3.3.1 State-Space Modeling Framework -- 3.3.2 Smoothing Algorithms -- 3.3.3 Stochastic Trend Extraction -- 3.3.4 Short-Term Prediction of Wind Output -- 3.4 Dynamic Impact of Wind Energy -- 3.4.1 Effect of Wind Generation on Oscillatory Stability -- 3.4.2 Large System Performance -- 3.4.3 Advanced Monitoring of System Behavior -- 3.5 System Frequency Control -- 3.5.1 Frequency Control in the Southeastern System -- 3.5.2 Wind Integration Cases Studies -- 3.5.3 Performance Under High Levels of Wind Penetration -- 3.5.4 Impact of Wind Generation on Frequency Regulation -- 3.5.5 Inertial Support and Active Power Control -- 3.6 Impact on Torsional Dynamics -- References -- 4 Load Flow Analysis with Wind Farms -- 4.1 Introduction -- 4.2 Wind Energy Conversion Systems (WECS) -- 4.3 Load Flow Analysis -- 4.4 Modeling of Wind Farms -- 4.4.1 Model-1: PQ Model of Asynchronous WT. 4.4.1.1 Conventional PQ Model -- 4.4.1.2 Modified PQ Model -- 4.4.2 Model-2: RX Model -- 4.4.2.1 Conventional Model -- 4.4.2.2 Modified Model: RX2 -- 4.4.3 Model-3: Three-Node Model -- 4.4.4 Model-3: Probabilistic Model -- 4.5 Results Discussion -- 4.5.1 Study-1 -- 4.5.2 Study-2 -- 4.5.3 Study-3 -- 4.5.4 LFA Using Model-3 -- 4.6 Conclusions -- References -- 5 Sensor-Less Estimation of Rotor Position in a Doubly Fed Induction Machine -- 5.1 Grid-Connected Doubly Fed Induction Machine -- 5.2 Basics of Decoupled Control -- 5.2.1 Control of Rotor-Side Converter (RSC) -- 5.2.2 Control of Front-End Converter (FEC) -- 5.3 Significance of Rotor Position and Speed -- 5.4 Brief Review of Sensor-Less Estimation Techniques -- 5.5 Sensor-Less Estimation of Rotor Position -- 5.5.1 Open Loop Techniques -- 5.5.1.1 Computing Rotor Position of a Grid-Connected DFIM -- 5.5.1.2 Case of Constant Stator Flux -- 5.5.1.3 Case of Fluctuating Stator Flux -- 5.5.1.4 Results and Discussion -- Verification of RPCA -- 5.5.2 Closed Loop Techniques -- 5.5.2.1 Closed Loop Rotor Position Computation -- Rotor-Side Phase-Locked Loop (R-PLL) for the Computation of Rotor Position of a DFIM -- 5.5.3 Results and Discussion -- 5.6 Conclusions -- Appendix -- References -- 6 Wind Turbine Standards and Certification: Indian Perspective -- 6.1 Introduction -- 6.2 History and Contemporary Scenario of WT Standards and Certification -- 6.3 An Overview of Standards IEC 61400 for WT -- 6.3.1 IEC 61400-1 Design Requirements -- 6.3.1.1 Principal Elements -- 6.3.1.2 External Conditions -- 6.3.1.3 Structural Design -- 6.3.1.4 Control and Protection System -- 6.3.1.5 Mechanical Systems -- 6.3.1.6 Electrical System -- 6.3.1.7 Assessment of a WT for Site-Specific Conditions -- 6.3.1.8 Assembly, Installation, and Erection -- 6.3.1.9 Commissioning, Operation, and Maintenance. 6.4 Description of Type Approval Provisional Scheme (TAPS-2000) -- 6.4.1 Provisional Type Certification (PTC) -- 6.4.1.1 PTC: Category I -- Partial Design Evaluation/Review of Type Certificate -- Manufacturing System Evaluation -- Review of Foundation Design Requirements -- Foundation Design Evaluation -- Final Evaluation Report -- Provisional Type Certificate -- 6.4.1.2 PTC: Category II -- Provisional Type Test -- Type Characteristic Measurement -- 6.4.1.3 Provisional Type Certification: Category III -- 6.4.1.4 Relevant External Environmental Conditions in India for TAPS -- 6.5 Conclusions -- References -- 7 Egyptian Grid Code of Wind Farms and Power Quality -- 7.1 Introduction -- 7.2 Conditions of Connection and Disconnection of Wind Farms -- 7.2.1 Start-Up of Wind Farm Conditions -- 7.2.2 Reconnection of Disconnected Wind Farm Conditions -- 7.2.3 Disconnection Conditions -- 7.3 Active Power Regulations Modes for the Wind Farms -- 7.4 Power Quality -- 7.4.1 Harmonics -- 7.4.2 Voltage Flickers -- 7.4.3 Voltage Imbalance -- 7.4.4 Voltage Fluctuations -- 7.5 Power Factor and Reactive Power Control -- 7.6 Voltage Disturbances -- 7.6.1 Single and Multi Low-Voltage Ride-Through Capabilities -- 7.6.2 Dynamic Regulations During Faults -- 7.6.3 Dynamic Regulations After Faults -- 7.7 Grid Protection -- 7.8 Summary -- Acknowledgements -- References -- 8 Integrating an Offshore Wind Farm to an Existing Utility Power Network via an HVDC Collection Grid: Alternative Topology -- 8.1 Introduction -- 8.1.1 Wind Farm with Output AC Power Collector -- 8.1.2 Wind Farm with Output DC Power Collector -- 8.1.3 Aim of Study and Contribution -- 8.2 Proposed Distributed Power System Description -- 8.3 AC Power Network -- 8.3.1 Active and Reactive Power Control Methods at Bus 4 of Fig. 8.1 -- 8.3.2 AC Power Network Solution Using Load-Flow Analysis Method. 8.4 DC Power Network Analysis. EBL202005 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4818775 ebook n 202018 202005 21 PUBLIC https://catalogue.library.cern/legacy/2716747 BOOK MIGRATED 2716711 SzGeCERN 20210421200840.0 9780080577371 electronic version electronic version 9780120146710 print version oai:cds.cern.ch:2716711 cerncds:BOOK EBL 421175 eng TK7815.A38eb vol. 71 537.5 Hawkes, Peter W Advances in electronics and electron physics Burlington Elsevier Science & Technology 1988 401 p ebook Advances in electronics and electron physics 71 Front Cover -- Advances in Electronics and Electron Physics, Volume 71 -- Copyright Page -- CONTENTS -- Contributors Volume 71 -- Preface -- Chapter 1. Scanning Electron Acoustic Microscopy -- I. Introduction -- II. Signal Generation and Contrast Mechanisms -- III. Instrumentation -- IV. Applications -- V. Conclusions -- Acknowledgments -- Reference -- Chapter 2. Recent Progress in Particle Accelerators -- I. Introduction -- II. Inventions and Developments -- III. Beam Environment -- IV. Statistical Methods and Quality Control -- V. Superconducting Technology -- VI. New Kinds of Accelerators -- VII. Epilogue -- References -- Chapter 3. Foundations of Environmental Scanning Electron Microscopy -- I. Introduction -- II. State of Gas in the ESEM -- III. Outline of General Interactions in the ESEM -- IV. Electron Beam Profiles -- V. The Electron Beam and Gas System -- VI. Detection -- VII. Contrast and Resolution -- VIII. Beam Radiation Effects -- IX. Operation and Applications -- Acknowledgments -- References -- Chapter 4. Optical and Acoustic Device Applications of Ferroelastic Crystals -- I. Introduction -- II. Periodic Domain Walls and Ferroelastic Bubbles in NPP -- III. Interaction of Optical and Acoustic Waves with Ferroelastic Domain Walls -- IV. Optical and Acoustic Devices Using NPP Periodic Domain Wall Gratings -- V. Conclusions and Future Directions -- References -- Chapter 5. Applications of Scanning Electron Microscopy in Archaeology -- I. Introduction -- II. Preparation Methods for Archaeological Specimens -- III. Applications of SEM to Archaeological Materials -- IV. Conclusions -- References -- Index. ADV ELECTRONICS ELECTRON PHYSICS V71. EBL202005 SzGeCERN XX BOOK Kazan, Benjamin https://cds.cern.ch/auth.py?r=EBLIB_P_421175 ebook n 202018 21 PUBLIC https://catalogue.library.cern/legacy/2716711 BOOK MIGRATED 2716674 SzGeCERN 20210421200842.0 9781466501133 electronic version electronic version 9780367904272 print version oai:cds.cern.ch:2716674 cerncds:BOOK EBL 6029069 eng TK7895.P68 .H363 2012 621.395 Ahmad, Ishfaq Handbook of energy-aware and green computing, volume 2 Milton CRC Press 2012 1216 p ebook Front Cover -- Volume 1: Handbook of Energy-Aware and Green Computing -- Contents -- Preface -- Editors -- Contributors -- I: Components, Platforms, and Architectures -- 1: Subthreshold Computing -- 2: Energy-Efficient Network-on-Chip Architectures for Multi-Core Systems -- 3: Geyser: Energy-Efficient MIPS CPU Core with Fine-Grained Run-Time Power Gating -- 4: Low-Power Design of Emerging Memory Technologies -- II: Energy-Efficient Storage -- 5: Reducing Delays Associated with Disk Energy Management -- 6: Power-Efficient Strategies for Storage Systems: A Survey -- 7: Dynamic Thermal Management for High-Performance Storage Systems -- 8: Energy-Saving Techniques for Disk Storage Systems -- 9: Thermal and Power-Aware Task Scheduling and Data Placement for Storage Centric Datacenters -- III: Green Networking -- 10: Power-Aware Middleware for Mobile Applications -- 11: Energy Efficiency of Voice-over-IP Systems -- 12: Intelligent Energy-Aware Networks -- 13: Green TCAM-Based Internet Routers -- IV: Algorithms -- 14: Algorithmic Aspects of Energy-Efficient Computing -- 15: Algorithms and Analysis of Energy-Efficient Scheduling of Parallel Tasks -- 16: Power Saving by Task-Level Dynamic Voltage Scaling: A Theoretical Aspect -- 17: Speed Scaling: An Algorithmic Perspective -- 18: Processor Optimization for Energy Efficiency -- 19: Energy-Aware SIMD Algorithm Design on GPU and Multicore Architectures -- 20: Memetic Algorithms for Energy-Aware Computation and Communications Optimization in Computing Clusters -- V: Real-Time Systems -- 21: Online Job Scheduling Algorithms under Energy Constraints -- 22: Reliability-Aware Power Management for Real-Time Embedded Systems -- 23: Energy Minimization for Multiprocessor Systems Executing Real-Time Tasks -- 24: Energy-Aware Scheduling and Dynamic Reconfiguration in Real-Time Systems. 25: Adaptive Power Management for Energy Harvesting Embedded Systems -- 26: Low-Energy Instruction Cache Optimization Techniques for Embedded Systems -- Volume 2: Handbook of Energy-Aware and Green Computing -- VI: Monitoring, Modeling, and Evaluation -- 27: Power-Aware Modeling and Autonomic Management Framework for Distributed Computing Systems -- 28: Power Measuring and Profiling: State of the Art -- 29: Modeling the Energy Consumption of Distributed Applications -- 30: Comparative Study of Runtime Systems for Energy-Aware High-Performance Computing -- 31: Tool Environments to Measure Power Consumption and Computational Performance -- 32: BlueTool: Using a Computing Systems Research Infrastructure Tool to Design and Test Green and Sustainable Data Centers -- VII: Software Systems -- 33: Optimizing Computing and Energy Performances in Heterogeneous Clusters of CPUs and GPUs -- 34: Energy-Efficient Online Provisioning for HPC Workloads -- 35: Exploiting Heterogeneous Computing Systems for Energy Efficiency -- 36: Code Development of High-Performance Applications for Power-Efficient Architectures -- 37: Experience with Autonomic Energy Management Policies for JavaEE Clusters -- VIII: Data Centers and Large-Scale Systems -- 38: Power-Aware Parallel Job Scheduling -- 39: Toward Energy-Efficient Web Server Clusters -- 40: Providing a Green Framework for Cloud Data Centers -- 41: Environmentally Opportunistic Computing -- 42: Energy-Efficient Data Transfers in Large-Scale Distributed Systems -- 43: Overview of Data Centers Energy Efficiency Evolution -- 44: Evaluating Performance, Power, and Cooling in High-Performance Computing (HPC) Data Centers -- IX: Green Applications -- 45: GreenGPS-Assisted Vehicular Navigation -- 46: Energy-Aware Mobile Multimedia Computing -- 47: Ultralow-Power Implantable Electronics. 48: Energy-Adaptive Computing: A New Paradigm for Sustainable IT -- X: Social and Environmental Issues -- 49: Evolution of Energy Awareness Using an Open Carbon Footprint Calculation Platform -- 50: Understanding and Exploiting User Behavior for Energy Saving -- 51: Predicting User Behavior for Energy Saving -- 52: Toward Sustainable Portable Computing -- Back Cover. EBL202004 Engineering SzGeCERN BOOK Ranka, Sanjay https://cds.cern.ch/auth.py?r=EBLIB_P_6029069 ebook n 202018 21 PUBLIC https://catalogue.library.cern/legacy/2716674 BOOK MIGRATED 2716649 SzGeCERN 20210421200844.0 9781119591580 9781119591566 oai:cds.cern.ch:2716649 cerncds:BOOK SAFARI 9781119591580 eng HD30.255 .D37 2020 658.408 Das, Tapas K Industrial environmental management engineering, science, and policy Newark, NJ John Wiley & Sons 2020 569 p ebook SAF202010 EBLlink deleted Information Transfer and Management SzGeCERN BOOK https://learning.oreilly.com/library/view/-/9781119591580/?ar ebook n 202018 202004 21 PUBLIC https://catalogue.library.cern/legacy/2716649 BOOK MIGRATED 2716644 SzGeCERN 20201207230447.0 9781509534739 electronic version electronic version EBL 6027975 eng TD195.C38 .M399 2020 621.384560286 Maxwell, Richard How green is your smartphone? Newark, NJ Polity Press 2020 100 p Digital futures Intro -- Front Matter -- Introduction -- The Book You Hold in Your Hands -- Outsmart Your Smartphone -- The Greenest Smartphone is the One You Already Own -- Calling Bullshit on Anti-Science Propaganda -- 1 Outsmart Your Smartphone -- The Allure -- Are We Addicted? -- Distracted in Traffic -- What? I Wasn't Paying Attention -- Buzzing Through Us and Messing with Our Natural Vibe -- The Cancer Question -- 5G and the Internet of Things - The Smog of Radiation -- Precautionary Principle -- 2 The Greenest Smartphone is the One You Already Own -- Energy Consumption and Carbon Emissions -- The Labor Process Part 1: Mining Hazards and Conflict Minerals -- The Labor Process Part 2: Manufacturing and Assembly -- The Labor Process Part 3: The Business Model -- The Labor Process Part 4: Our Global E-Waste Problem -- 3 Calling Bullshit on Anti-Science Propaganda -- Forewarned, Forearmed -- War-Gaming Science -- Shareholder Activism -- Conclusion: What Next? -- End Dependence -- Break the Bonds of the Supply Chain: The Idea of the Fairphone -- Imbue Supply Chains with Compassion - 164 Years Later -- Optimism of the Intelligence, Optimism of the Will -- References -- Index -- End User License Agreement. Miller, Toby 9781509534715 print version oai:cds.cern.ch:2716644 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6027975 ebook ebook EBL Cell phone systems-Environmental aspects EBL Cell phone users EBL202004 Engineering SzGeCERN BOOK n 202018 202004 21 PUBLIC BOOK DELETED 2716606 SzGeCERN 20210421200849.0 9781780175201 electronic version electronic version 9781780175188 print version oai:cds.cern.ch:2716606 cerncds:BOOK EBL 6023849 eng QA76.9.A25 .T395 2020 005.8 Taylor, Andy Information security management principles 3rd ed. Swindon BCS Learning & Development Limited 2020 271 p ebook Cover -- Copyright page -- CONTENTS -- FIGURES AND TABLES -- AUTHORS -- ACKNOWLEDGEMENTS -- ABBREVIATIONS -- PREFACE -- 1 INFORMATION SECURITY PRINCIPLES -- CONCEPTS AND DEFINITIONS -- THE NEED FOR, AND BENEFITS OF, INFORMATION SECURITY -- SAMPLE QUESTIONS -- 2 INFORMATION RISK -- THREATS TO, AND VULNERABILITIES OF, INFORMATION SYSTEMS -- RISK MANAGEMENT -- SAMPLE QUESTIONS -- REFERENCES AND FURTHER READING -- 3 INFORMATION SECURITY FRAMEWORK -- ORGANISATION AND RESPONSIBILITIES -- ORGANISATIONAL POLICY, STANDARDS AND PROCEDURES -- INFORMATION SECURITY GOVERNANCE -- INFORMATION ASSURANCE PROGRAMME IMPLEMENTATION -- SECURITY INCIDENT MANAGEMENT -- LEGAL FRAMEWORK -- SECURITY STANDARDS AND PROCEDURES -- SAMPLE QUESTIONS -- REFERENCES -- 4 SECURITY LIFE CYCLES -- THE INFORMATION LIFE CYCLE -- TESTING, AUDIT AND REVIEW -- SYSTEMS DEVELOPMENT AND SUPPORT -- SAMPLE QUESTIONS -- REFERENCE -- 5 PROCEDURAL AND PEOPLE SECURITY CONTROLS -- GENERAL CONTROLS -- PEOPLE SECURITY -- USER ACCESS CONTROLS -- TRAINING AND AWARENESS -- SAMPLE QUESTIONS -- 6 TECHNICAL SECURITY CONTROLS -- TECHNICAL SECURITY -- PROTECTION FROM MALICIOUS SOFTWARE -- NETWORKS AND COMMUNICATIONS -- OPERATIONAL TECHNOLOGY -- EXTERNAL SERVICES -- CLOUD COMPUTING -- IT INFRASTRUCTURE -- SAMPLE QUESTIONS -- 7 PHYSICAL AND ENVIRONMENTAL SECURITY -- PHYSICAL SECURITY -- DIFFERENT USES OF CONTROLS -- SAMPLE QUESTIONS -- 8 DISASTER RECOVERY AND BUSINESS CONTINUITY MANAGEMENT -- RELATIONSHIP BETWEEN DR/BCP, RISK ASSESSMENT AND IMPACT ANALYSIS -- RESILIENCE AND REDUNDANCY -- APPROACHES TO WRITING PLANS AND IMPLEMENTING PLANS -- THE NEED FOR DOCUMENTATION, MAINTENANCE AND TESTING -- NEED FOR LINKS TO MANAGED SERVICE PROVISION AND OUTSOURCING -- NEED FOR SECURE OFF-SITE STORAGE OF VITAL MATERIAL -- NEED TO INVOLVE PERSONNEL, SUPPLIERS AND IT SYSTEMS PROVIDERS. RELATIONSHIP WITH SECURITY INCIDENT MANAGEMENT -- COMPLIANCE WITH STANDARDS -- SAMPLE QUESTIONS -- 9 OTHER TECHNICAL ASPECTS -- INVESTIGATIONS AND FORENSICS -- ROLE OF CRYPTOGRAPHY -- THREAT INTELLIGENCE -- CONCLUSION -- SAMPLE QUESTIONS -- REFERENCES AND FURTHER READING -- APPENDIX A -- ACTIVITY SOLUTION POINTERS -- SAMPLE QUESTION ANSWERS -- GLOSSARY -- INDEX -- Back Cover. This book is a pragmatic guide to information assurance for both business professionals and technical experts. The third edition has been updated to reflect changes in the IT security landscape and updates to the BCS Certification in Information Security Management Principles, which the book supports. EBL202004 Computing and Computers SzGeCERN BOOK Alexander, David Finch, Amanda Sutton, David Taylor, Andy https://cds.cern.ch/auth.py?r=EBLIB_P_6023849 ebook n 202018 202004 21 PUBLIC https://catalogue.library.cern/legacy/2716606 BOOK MIGRATED 2716526 SzGeCERN 20210421200857.0 9781536161670 electronic version electronic version 9781536161663 print version oai:cds.cern.ch:2716526 cerncds:BOOK EBL 6007490 eng HD30.28 .F888 2019 658.4012 Mariadoss, Babu John Future-focused strategic marketing New York, NY Nova Science Publishers 2019 352 p ebook Marketing and operations management research Intro -- Dedication -- Contents -- Preface -- Section 1: Transforming the Organization -- Section 2: Structure, Culture, and Identity -- Section 3: Capabilities and Firm Performance -- References -- Acknowledgments -- Section 1. Transforming the Organization -- Chapter 1 -- Dual Perspectives on the Role of Market Orientation in New Product Development -- Abstract -- 1. Introduction -- 2. Market Orientation: Dual Perspectives -- 3. Model and Hypotheses -- 3.1. Effects of Market Driven and Market Driving at the NPD Level -- 3.2. Market Orientation and Outcomes across Firm and NPD Levels -- 4. Method -- 4.1. Context and Data Collection Procedures -- 4.2. Instrument Development and Pretest -- 4.3. Measures -- 4.4. Measure Validation -- 5. Results -- 5.1. Hypotheses Testing -- 6. Discussion -- Appendix: Measures Used in the Study -- References -- Chapter 2 -- Product Orientation to Solution Orientation: A Journey -- Abstract -- Introduction -- Method -- The Concept of Solutions -- Roadmap toward Solutions -- Moving to Solutions Requires Strategic Action -- Step One - Identifying the "Burning Platform" -- Step Two - Deciding on the Right Organizational Structure -- Step Three - Developing and Reinforcing a Customer-Centric Mindset -- Step Four - Segmentation of Customers -- Step Five - Engaging in First Projects with Lead Customers -- Step Six - Developing Adequate Value Propositions -- Moving to Solutions Requires Smart Implementation -- Step Seven - Systematic Development of Front-End and Project Teams -- Step Eight - Aligning the Back End to Support Solution Selling -- Step Nine - Establishing a Pricing Strategy -- Step Ten - Performance Management -- Discussion -- Future Research -- Conclusion -- Acknowledgments -- References -- Chapter 3 -- Envisioning the Marketing Discipline in the Twenty-First Century: A View from Subsistence Marketplaces. Abstract -- Subsistence Marketplaces -- Marketing Insights Developed from Subsistence Marketplaces -- Pathways Forward? -- Is Marketing Bottom-Up Enough? -- Is It Enough to Understand What Consumers Want? -- How Does Marketing Move from Understanding Wants to Aspirations? -- How Can Marketing Be about More Than Traditional Notions of Production and Consumption? -- How Can Marketing Be a Hub for Interdisciplinary Perspectives? -- How Can Pathways Be Created between Marketing Research and Practice? -- How Can Marketing Have Increased Relevance in the Twenty-First Century? -- What Does Marketing Have to Offer Development? -- References -- Section 2. Structure, Culture and Identity -- Chapter 4 -- The Strategic Value of Culture: An Integrative Framework for the Role of Organizational Culture in Marketing Strategy -- Abstract -- Introduction -- Multi-Paradigm Assessment of Organizational Culture in Marketing Strategy -- Systematic Review Process -- Systematic Review Findings -- Integrative Framework: The Relationship between Marketing Strategy and Culture under Various Cultural Paradigms -- An Overall View -- Organizational Culture Paradigm #1: Contingency Marketing Management -- Marketing Strategy Formulation -- Marketing Strategy Implementation -- Organizational Culture Paradigm #2: Comparative Marketing Management -- Marketing Strategy Formulation -- Marketing Strategy Implementation -- Organizational Culture Paradigm #3: Marketing Symbolism -- Marketing Strategy Formulation -- Marketing Strategy Implementation -- Organizational Culture Paradigm #4: Marketing Cognition -- Marketing Strategy Formulation -- Marketing Strategy Implementation -- Organizational Culture Paradigm #5: Structural/Psychodynamic -- Marketing Strategy Formulation -- Discussion and Future Directions -- References -- Chapter 5. Rebranding: Review, Conceptualization, and Research Propositions -- Abstract -- Introduction -- Literature Review -- Conceptualization -- Typology -- Brand Elements -- Brand Positioning -- Firm Aspects -- Rebranding Versus Repositioning -- Rebranding Framework -- Environmental Forces -- Passage of Time -- Change in the Competitive Landscape -- Adjustment to the Target Market -- The Unexpected -- Brand Image -- Rebranding -- Brand Outcomes -- Research Propositions -- Firm Moderators -- Consumer Moderators -- Theoretical Implications -- Managerial Implications -- Acknowledgments -- References -- Chapter 6 -- Growing by Divesting: A Multi-Theory Perspective on the Divestiture Behaviors of Conglomerate Diversified Firms* -- Abstract -- Introduction -- Background -- Theoretical Perspectives on Deconglomeration -- The Agency Theory Explanation -- An Overview of Agency Theory -- The Agency Theory Explanation of Deconglomeration -- The Market for Corporate Control -- Managerial Compensation -- Institutional Activism in Corporate Governance -- Level of Impact -- The Institutional Theory Explanation -- An Overview of Institutional Theory -- Institutional Theory Explanations of Deconglomeration -- Political Embeddedness Explanation -- Cognitive Embeddedness Explanation -- Level of Impact -- The Market Orientation Explanation -- An Overview of Market Orientation -- The Market Orientation Explanation of Deconglomeration -- Level of Impact -- The Theory of the Multinational Firm Explanation -- An Overview of the Theory of the Multinational Firm -- The Multinational Firm Theory Explanation of Deconglomeration -- Resource Requirements of International Diversification -- Management's Cognitive Limitations -- Level of Impact -- The Population Ecology Explanation -- An Overview of Population Ecology -- Population Ecology Explanation of Deconglomeration. Level of Impact -- The Resource-Based View of the Firm Explanation -- An Overview of the Resource-Based View of the Firm -- The Resource-Based View's Explanation of Deconglomeration -- Synergistic Benefits of Resources -- Resource Losing Its Firm-Specific Characteristic -- Level of Impact -- Managerial Implications of Deconglomenration -- The Shift in the Locus of Decision Making -- Competitive Behavior -- Increased Competitor Orientation of Firms -- Reduction in Multimarket Competition between Firms -- Innovation and New Product Development -- Deconglomeration and Informal Innovation -- Deconglomeration and Formal Innovation -- Future Research Directions -- Conclusion -- References -- Section 3. Capabilities and Firm Performance -- Chapter 7 -- Organizational Improvisation, Market Orientation, and Performance Implications in Varying Industry Conditions -- Abstract -- Introduction -- Organizational Improvisation: Insights from Practice -- Organizational Improvisation and Firm Performance -- The Question of Fit: Improvisation and Performance in Varying Industry Conditions -- Industry Turbulence -- Industry Growth -- Industry Competitive Intensity -- The Alignment of Improvisation and Market Orientation -- The Question of Fit: Combinative Effects of Market Orientation and Improvisation in Varying Industry Conditions -- Method -- Study Design and Research Context -- Data Collection Procedures and Outcomes -- Instrument Development and Measures -- Results -- Common Method Variance Analysis -- Construct Validation -- Model Selection -- Hypotheses Testing -- Testing Fit: Latent Regime Profiles -- Improvisation and Performance -- Combinative Effects of Improvisation and Market Orientation on Firm Performance -- Discussion, Implications, and Conclusion -- Theoretical Implications -- Managerial Implications -- Limitations and Future Research -- Conclusion. Appendix 1. Qualitative Study Sample Composition -- Appendix 2. Measures, Factor Loadings, Composite Reliabilities, and Average Variance Extracted -- Appendix 3. Descriptive Statistics: Mean, Standard Deviation, and Correlationsa -- Acknowledgments -- References -- Chapter 8 -- Product Line Technology Strategies and Firm Survival in High-Technology Environments -- Abstract -- Introduction -- Theory -- High-Technology Markets -- The US Personal Computer Industry -- Product-Line Technology Strategy Classification -- Performance Implications of Product-Line Technology Strategies -- The Impact of Inert Strategy -- The Impact of Portfolio Versus Niche Technology Strategies -- The Impact of Full-Line Strategy -- The Impact of Laggard Strategy -- The Relative Impact of Advanced and Popular Technological Niches -- The Impact of Portfolio Composition -- Methods -- Data Description -- Dependent Variable: Firm Exit -- Independent Variable: Product-Line Technology Strategies -- Control Variables -- Firm Age and Its Square -- Firm Size -- Entry Timing -- Pre-Entry Conditions -- Impact of Competition -- Product-Line Actions -- Inter-Temporal Variations in Strategy -- Model Specification and Estimation -- Empirical Results -- Robustness Checks -- Discussion -- References -- Chapter 9 -- The Effects of Community-Based New Product Development Strategies on Project Performance -- Abstract -- Introduction -- Community-Based NPD -- Theoretical Framework -- Hypotheses Development -- Community Network Density -- Community Network Size -- Project Openness -- Bridge Member Size -- Methodology -- Research Context and Data Collection -- Network Construction and Measures -- Community Network Size and Density -- Degree and Closeness Centrality -- Other Measures -- Project Performance -- Project Openness and Bridge Member Size -- Control Variables -- Model Estimation. Results. EBL202004 Information Transfer and Management SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6007490 ebook n 202018 202004 21 PUBLIC https://catalogue.library.cern/legacy/2716526 BOOK MIGRATED 2716508 SzGeCERN 20210421200859.0 9781643680453 electronic version electronic version 9781643680446 print version oai:cds.cern.ch:2716508 cerncds:BOOK EBL 6006551 eng QA76.9.S88 .I546 2020 005.74 Dahanayake, A Information modelling and knowledge bases XXXI Amsterdam IOS Press 2020 562 p ebook Frontiers in artificial intelligence and applications 321 Intro -- Title Page -- Preface -- Committees -- Contents -- On the Philosophical Foundations of Conceptual Models -- Sustainable Solid Waste Management Using Life Cycle Modeling for Environmental Impact Assessment -- Using Recorded Audio Feedback in Multi-Cultural Higher e-Education: How Do Academics Experience? A Thematic Network Analysis -- Teaching the Fundamental Concepts of Relational Databases to Students with Different Educational Background - An Experimental Study -- Extracting Stopwords on Social Network Service -- Accelerating Sequence Operator with Reduced Expression -- Model of a Vocabulary -- A Case-Based Analysis of Process Modeling for Public Administration System Design -- A Survey-Based Evaluation of Approaches and Tools for Business Process Optimization Support -- Comparison of Open Source NoSQL Solutions Using Utility Function -- Improving Data Quality, Privacy and Provenance in Citizen Science Applications -- A Study on an Evolution of a Data Collection System for Knowledge Representation -- A Data Driven Approach to Decision Support in Farming -- Modelling Perspectives to Support Multiple Information Demands -- Responsive Calibrated Web Personalization System with Online Local Variational Inference for the Logistic Regression Mixture Model -- Data Labeling Scheme for Bed Position Classification -- A Matrix Node Graph Data Structure and Its Application for Credibility Assessment with Temporal Transition of Intention -- Joint Application of Constraint Propagation and Structural Decomposition Methods for A Priori Analysis of SPARQL Queries -- Functions of Models in Scenarios and Their Maturity -- A SPA-Based Semantic Computing System for Global &amp -- Environmental Analysis and Visualization with "5-Dimensional World-Map": "Towards Environmental Artificial Intelligence. 5D World Map System for Disaster-Resilience Monitoring from Global to Local: Environmental AI System for Leading SDG 9 and 11 -- On Logic Calculation with Semantic Space and Machine Learning -- Machine Learning Using TIL -- The Holistic Framework of Using Machine Learning for an Effective Incoming Cyber Threats Detection -- Model-Based Fifth Generation Programming -- A Semantic Multi-Valued Logic for Deforestation Phenomena Interpretation -- Water Quality Index Analysis and Prediction: A Case Study of Canals in Bangkok Thailand -- Prediction to Industrial Waste Disposal Management by Using Box-Jenkins Method and Created Applications for a Company A and Their Service Providers in Thailand -- Flood Susceptibility Prediction via Data-Mining Based Bell-Curve Analogical-Hydrographs Analysis: A Case Study of Langat River Basin, Selangor, Malaysia -- Indexing and Finding Deep Neural Networks for Image Recognition -- Prediction of User's Special Feelings Toward Photos Based on Behaviors of Taking and Editing Photos -- Features Words Extraction Methods of POI for Japanese FIT Using Comments in a Tourism Web Site -- Question-Answering System in the TIL-Script Language -- Context-Oriented Tour Planning System in Physical and Emotional Distance -- Towards a Great Design of Conceptual Modelling -- Subject Index -- Author Index. EBL202004 Computing and Computers SzGeCERN BOOK Huiskonen, J Kiyoki, Y https://cds.cern.ch/auth.py?r=EBLIB_P_6006551 ebook n 202018 202004 21 PUBLIC https://catalogue.library.cern/legacy/2716508 BOOK MIGRATED 2716498 SzGeCERN 20210421200900.0 9781789610468 9781789616712 oai:cds.cern.ch:2716498 cerncds:BOOK SAFARI 9781789616712 eng QA276.45.R3 .C533 2019 519.502855133 Ciaburro, Giuseppe Hands-on reinforcement learning with R get up to speed with building self-learning systems using R 3.x Birmingham Packt Publishing 2019 350 p ebook Reinforcement Learning is an exciting part of machine learning. It has uses in technology from autonomous cars to game playing, and creates algorithms that can adapt to environmental changes. This book helps to understand how to implement RL with R, and explores interesting practical examples, such as using tabular Q-learning to control robots. SAF202009 EBLlink deleted Mathematical Physics and Mathematics SzGeCERN BOOK https://learning.oreilly.com/library/view/-/9781789616712/?ar ebook n 202018 202004 21 PUBLIC https://catalogue.library.cern/legacy/2716498 BOOK MIGRATED 2716495 SzGeCERN 20200808000731.0 9781119302810 electronic version electronic version EBL 6002584 eng TA1520 .R658 2020 621.36 Rolt, Stephen Optical engineering science Newark, NJ John Wiley & Sons 2020 660 p Cover -- Title Page -- Copyright -- Contents -- Preface -- Glossary -- About the Companion Website -- Chapter 1 Geometrical Optics -- 1.1 Geometrical Optics - Ray and Wave Optics -- 1.2 Fermat's Principle and the Eikonal Equation -- 1.3 Sequential Geometrical Optics - A Generalised Description -- 1.3.1 Conjugate Points and Perfect Image Formation -- 1.3.2 Infinite Conjugate and Focal Points -- 1.3.3 Principal Points and Planes -- 1.3.4 System Focal Lengths -- 1.3.5 Generalised Ray Tracing -- 1.3.6 Angular Magnification and Nodal Points -- 1.3.7 Cardinal Points -- 1.3.8 Object and Image Locations ‐ Newton's Equation -- 1.3.9 Conditions for Perfect Image Formation - Helmholtz Equation -- 1.4 Behaviour of Simple Optical Components and Surfaces -- 1.4.1 General -- 1.4.2 Refraction at a Plane Surface and Snell's Law -- 1.4.3 Refraction at a Curved (Spherical) Surface -- 1.4.4 Refraction at Two Spherical Surfaces (Lenses) -- 1.4.5 Reflection by a Plane Surface -- 1.4.6 Reflection from a Curved (Spherical) Surface -- 1.5 Paraxial Approximation and Gaussian Optics -- 1.6 Matrix Ray Tracing -- 1.6.1 General -- 1.6.2 Determination of Cardinal Points -- 1.6.3 Worked Examples -- 1.6.4 Spreadsheet Analysis -- Further Reading -- Chapter 2 Apertures Stops and Simple Instruments -- 2.1 Function of Apertures and Stops -- 2.2 Aperture Stops, Chief, and Marginal Rays -- 2.3 Entrance Pupil and Exit Pupil -- 2.4 Telecentricity -- 2.5 Vignetting -- 2.6 Field Stops and Other Stops -- 2.7 Tangential and Sagittal Ray Fans -- 2.8 Two Dimensional Ray Fans and Anamorphic Optics -- 2.9 Optical Invariant and Lagrange Invariant -- 2.10 Eccentricity Variable -- 2.11 Image Formation in Simple Optical Systems -- 2.11.1 Magnifying Glass or Eye Loupe -- 2.11.2 The Compound Microscope -- 2.11.3 Simple Telescope -- 2.11.4 Camera -- Further Reading. Chapter 3 Monochromatic Aberrations -- 3.1 Introduction -- 3.2 Breakdown of the Paraxial Approximation and Third Order Aberrations -- 3.3 Aberration and Optical Path Difference -- 3.4 General Third Order Aberration Theory -- 3.5 Gauss‐Seidel Aberrations -- 3.5.1 Introduction -- 3.5.2 Spherical Aberration -- 3.5.3 Coma -- 3.5.4 Field Curvature -- 3.5.5 Astigmatism -- 3.5.6 Distortion -- 3.6 Summary of Third Order Aberrations -- 3.6.1 OPD Dependence -- 3.6.2 Transverse Aberration Dependence -- 3.6.3 General Representation of Aberration and Seidel Coefficients -- Further Reading -- Chapter 4 Aberration Theory and Chromatic Aberration -- 4.1 General Points -- 4.2 Aberration Due to a Single Refractive Surface -- 4.2.1 Aplanatic Points -- 4.2.2 Astigmatism and Field Curvature -- 4.3 Reflection from a Spherical Mirror -- 4.4 Refraction Due to Optical Components -- 4.4.1 Flat Plate -- 4.4.2 Aberrations of a Thin Lens -- 4.4.2.1 Conjugate Parameter and Lens Shape Parameter -- 4.4.2.2 General Formulae for Aberration of Thin Lenses -- 4.4.2.3 Aberration Behaviour of a Thin Lens at Infinite Conjugate -- 4.4.2.4 Aplanatic Points for a Thin Lens -- 4.5 The Effect of Pupil Position on Element Aberration -- 4.6 Abbe Sine Condition -- 4.7 Chromatic Aberration -- 4.7.1 Chromatic Aberration and Optical Materials -- 4.7.2 Impact of Chromatic Aberration -- 4.7.3 The Abbe Diagram for Glass Materials -- 4.7.4 The Achromatic Doublet -- 4.7.5 Optimisation of an Achromatic Doublet (Infinite Conjugate) -- 4.7.6 Secondary Colour -- 4.7.7 Spherochromatism -- 4.8 Hierarchy of Aberrations -- Further Reading -- Chapter 5 Aspheric Surfaces and Zernike Polynomials -- 5.1 Introduction -- 5.2 Aspheric Surfaces -- 5.2.1 General Form of Aspheric Surfaces -- 5.2.2 Attributes of Conic Mirrors -- 5.2.3 Conic Refracting Surfaces -- 5.2.4 Optical Design Using Aspheric Surfaces. 5.3 Zernike Polynomials -- 5.3.1 Introduction -- 5.3.2 Form of Zernike Polynomials -- 5.3.3 Zernike Polynomials and Aberration -- 5.3.4 General Representation of Wavefront Error -- 5.3.5 Other Zernike Numbering Conventions -- Further Reading -- Chapter 6 Diffraction, Physical Optics, and Image Quality -- 6.1 Introduction -- 6.2 The Eikonal Equation -- 6.3 Huygens Wavelets and the Diffraction Formulae -- 6.4 Diffraction in the Fraunhofer Approximation -- 6.5 Diffraction in an Optical System - the Airy Disc -- 6.6 The Impact of Aberration on System Resolution -- 6.6.1 The Strehl Ratio -- 6.6.2 The Maréchal Criterion -- 6.6.3 The Huygens Point Spread Function -- 6.7 Laser Beam Propagation -- 6.7.1 Far Field Diffraction of a Gaussian Laser Beam -- 6.7.2 Gaussian Beam Propagation -- 6.7.3 Manipulation of a Gaussian Beam -- 6.7.4 Diffraction and Beam Quality -- 6.7.5 Hermite Gaussian Beams -- 6.7.6 Bessel Beams -- 6.8 Fresnel Diffraction -- 6.9 Diffraction and Image Quality -- 6.9.1 Introduction -- 6.9.2 Geometric Spot Size -- 6.9.3 Diffraction and Image Quality -- 6.9.4 Modulation Transfer Function -- 6.9.5 Other Imaging Tests -- Further Reading -- Chapter 7 Radiometry and Photometry -- 7.1 Introduction -- 7.2 Radiometry -- 7.2.1 Radiometric Units -- 7.2.2 Significance of Radiometric Units -- 7.2.3 Ideal or Lambertian Scattering -- 7.2.4 Spectral Radiometric Units -- 7.2.5 Blackbody Radiation -- 7.2.6 Étendue -- 7.3 Scattering of Light from Rough Surfaces -- 7.4 Scattering of Light from Smooth Surfaces -- 7.5 Radiometry and Object Field Illumination -- 7.5.1 Köhler Illumination -- 7.5.2 Use of Diffusers -- 7.5.3 The Integrating Sphere -- 7.5.3.1 Uniform Illumination -- 7.5.3.2 Integrating Sphere Measurements -- 7.5.4 Natural Vignetting -- 7.6 Radiometric Measurements -- 7.6.1 Introduction -- 7.6.2 Radiometric Calibration -- 7.6.2.1 Substitution Radiometry. 7.6.2.2 Reference Sources -- 7.6.2.3 Other Calibration Standards -- 7.7 Photometry -- 7.7.1 Introduction -- 7.7.2 Photometric Units -- 7.7.3 Illumination Levels -- 7.7.4 Colour -- 7.7.4.1 Tristimulus Values -- 7.7.4.2 RGB Colour -- 7.7.5 Astronomical Photometry -- Further Reading -- Chapter 8 Polarisation and Birefringence -- 8.1 Introduction -- 8.2 Polarisation -- 8.2.1 Plane Polarised Waves -- 8.2.2 Circularly and Elliptically Polarised Light -- 8.2.3 Jones Vector Representation of Polarisation -- 8.2.4 Stokes Vector Representation of Polarisation -- 8.2.5 Polarisation and Reflection -- 8.2.6 Directional Flux - Poynting Vector -- 8.3 Birefringence -- 8.3.1 Introduction -- 8.3.2 The Index Ellipsoid -- 8.3.3 Propagation of Light in a Uniaxial Crystal - Double Refraction -- 8.3.4 'Walk‐off' in Birefringent Crystals -- 8.3.5 Uniaxial Materials -- 8.3.6 Biaxial Crystals -- 8.4 Polarisation Devices -- 8.4.1 Waveplates -- 8.4.2 Polarising Crystals -- 8.4.3 Polarising Beamsplitter -- 8.4.4 Wire Grid Polariser -- 8.4.5 Dichroitic Materials -- 8.4.6 The Faraday Effect and Polarisation Rotation -- 8.5 Analysis of Polarisation Components -- 8.5.1 Jones Matrices -- 8.5.2 Müller Matrices -- 8.6 Stress‐induced Birefringence -- Further Reading -- Chapter 9 Optical Materials -- 9.1 Introduction -- 9.2 Refractive Properties of Optical Materials -- 9.2.1 Transmissive Materials -- 9.2.1.1 Modelling Dispersion -- 9.2.1.2 Temperature Dependence of Refractive Index -- 9.2.1.3 Temperature Coefficient of Refraction for Air -- 9.2.2 Behaviour of Reflective Materials -- 9.2.3 Semiconductor Materials -- 9.3 Transmission Characteristics of Materials -- 9.3.1 General -- 9.3.2 Glasses -- 9.3.3 Crystalline Materials -- 9.3.4 Chalcogenide Glasses -- 9.3.5 Semiconductor Materials -- 9.3.6 Polymer Materials -- 9.3.7 Overall Transmission Windows for Common Optical Materials. 9.4 Thermomechanical Properties -- 9.4.1 Thermal Expansion -- 9.4.2 Dimensional Stability Under Thermal Loading -- 9.4.3 Annealing -- 9.4.4 Material Strength and Fracture Mechanics -- 9.5 Material Quality -- 9.5.1 General -- 9.5.2 Refractive Index Homogeneity -- 9.5.3 Striae -- 9.5.4 Bubbles and Inclusions -- 9.5.5 Stress Induced Birefringence -- 9.6 Exposure to Environmental Attack -- 9.6.1 Climatic Resistance -- 9.6.2 Stain Resistance -- 9.6.3 Resistance to Acid and Alkali Attack -- 9.7 Material Processing -- Further Reading -- Chapter 10 Coatings and Filters -- 10.1 Introduction -- 10.2 Properties of Thin Films -- 10.2.1 Analysis of Thin Film Reflection -- 10.2.2 Single Layer Antireflection Coatings -- 10.2.3 Multilayer Coatings -- 10.2.4 Thin Metal Films -- 10.2.5 Protected and Enhanced Metal Films -- 10.3 Filters -- 10.3.1 General -- 10.3.2 Antireflection Coatings -- 10.3.3 Edge Filters -- 10.3.4 Bandpass Filters -- 10.3.5 Neutral Density Filters -- 10.3.6 Polarisation Filters -- 10.3.7 Beamsplitters -- 10.3.8 Dichroic Filters -- 10.3.9 Etalon Filters -- 10.4 Design of Thin Film Filters -- 10.5 Thin Film Materials -- 10.6 Thin Film Deposition Processes -- 10.6.1 General -- 10.6.2 Evaporation -- 10.6.3 Sputtering -- 10.6.4 Thickness Monitoring -- Further Reading -- Chapter 11 Prisms and Dispersion Devices -- 11.1 Introduction -- 11.2 Prisms -- 11.2.1 Dispersive Prisms -- 11.2.2 Reflective Prisms -- 11.3 Analysis of Diffraction Gratings -- 11.3.1 Introduction -- 11.3.2 Principle of Operation -- 11.3.3 Dispersion and Resolving Power -- 11.3.4 Efficiency of a Transmission Grating -- 11.3.5 Phase Gratings -- 11.3.6 Impact of Varying Angle of Incidence -- 11.3.7 Reflection Gratings -- 11.3.8 Impact of Polarisation -- 11.3.9 Other Grating Types -- 11.3.9.1 Holographic Gratings -- 11.3.9.2 Echelle Grating. 11.3.9.3 Concave Gratings - The Rowland Grating. 9781119302803 print version oai:cds.cern.ch:2716495 cerncds:BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6002584 ebook ebook EBL202004 Engineering SzGeCERN BOOK n 202018 202004 21 PUBLIC BOOK DELETED 2716475 SzGeCERN 20210421200902.0 9781627056700 electronic version electronic version 9781627054621 print version oai:cds.cern.ch:2716475 cerncds:BOOK EBL 4519669 eng G70.212 -- .H484 2016eb 621.3678 Patanè, Giuseppe Heterogeneous spatial data fusion, modeling, and analysis for GIS applications San Rafael, CA Morgan & Claypool Publishers 2016 158 p ebook Synthesis lectures on visual computing : computer graphics, animation, computational photography and imaging Intro -- List of Figures -- List of Tables -- Preface -- Acknowledgments -- Spatio-temporal Data Fusion -- Geospatial Data: Acquisition and Properties -- Spatio-temporal Data Fusion -- Data Alignment: Registration Methods -- Direct Georeferencing -- Target and Feature-based Registration -- Low-level Feature Matching -- Examples: -- Harmonize Support: Interpolation Methods -- Deterministic Methods -- Stochastic Methods -- Satellite Time Series Analysis -- Improving Spatial and Temporal Resolution -- Estimating Missing Data -- Vegetation Monitoring -- Spatio-temporal Data Access Methods -- Discussion: Sensors, Software, and Practical Issues -- Spatial and Environmental Data Approximation -- Data Approximation -- Spline Representations and Approximations -- Parameterization -- Tensor Product Splines -- Locally Refined Splines -- Spline Approximations -- Adapting to Boundaries and Features -- Meshless Approximations -- Moving Least-squares Surfaces -- Implicit Approximation with Radial Basis Functions -- Kriging -- Computational Cost -- Feature Extraction -- 3D Data Analysis -- Curvature Evaluation -- Primitive and Curvature-based Segmentation -- 3D Feature Descriptors -- 3D Surfaces Studied by Means of Scalar Fields -- Critical Point-oriented Characterization -- Topological Persistence -- Contour-based Characterization -- Morse and Morse-Smale Complexes and Surface Networks -- Contour Trees and Reeb Graphs -- Applications to Surface Approximation and Rainfall Analysis -- Surface Approximation with LR B-splines -- Approximation and Analysis of Rainfall Data -- Analysis of Topological Changes in GIS Data -- Conclusions -- Bibliography -- Authors' Biographies. EBL202004 SzGeCERN Engineering BOOK Spagnuolo, Michela https://cds.cern.ch/auth.py?r=EBLIB_P_4519669 ebook 202004 n 202018 21 PUBLIC https://catalogue.library.cern/legacy/2716475 BOOK MIGRATED 2720469 SzGeCERN 20210422083038.0 9783030387662 electronic version electronic version print version 9783030387655 print version 9783030387679 print version 9783030387686 DOI 10.1007/978-3-030-38766-2 e-proceedings oai:cds.cern.ch:2720469 cerncds:CONF eng QA402-402.37 T57.6-57.97 519.6 23 20180614 7th International Symposium and 29th National Conference on Operational Research Chania, Greece 14 - 16 Jun 2018 2018 chania20180614 GR 7 29 20180616 Cham Springer 2020 ebook Cooperative management 2364-401x Agricultural Cooperatives and Acceptance of Technological Innovation -- Virtual Incubators and Online Business Tools for Agro-food SMEs -- Design of a Sentiment Lexicon for the Greek Food and Beverage Sector -- Firms’ Profitability in the Period of Crisis -- Fiscal Multipliers Under Extreme Uncertainty: Case of Greek Tourism Economy -- Forecasting Tourism Demand in Europe -- The Role of Modern Ports and Marine Protected Areas in Eastmed’s Environmental Sustainability. The Case of Greece -- A Hybrid Firefly Algorithm Based on Coordinates for the Prize- Collecting Vehicle Routing Problem -- Green Supplier Evaluation and Selection: An Updated Literature Review -- A Similarity Hybrid Harmony Search Algorithm for the Orienteering Problem. . This book presents a diverse range of recent operational research techniques that have been applied to agriculture and tourism management. It covers both the primary sector of agriculture and agricultural economics, and the tertiary sector of the tourism industry. Findings and lessons learned from these innovations can be readily applied to various other contexts. The book chiefly focuses on cooperative management issues, and on developing solutions to provide decision support in multi-criteria scenarios. Mathematics and statistics SPR202006 SzGeCERN Mathematical Physics and Mathematics SPR Management science SPR Agricultural economics SPR Tourism SPR Management SPR Operations Research, Management Science SPR Agricultural Economics SPR Tourism Management CONFERENCE PROCEEDINGS Krassadaki, Evangelia ed. Baourakis, George ed. Zopounidis, Constantin ed. Matsatsinis, Nikolaos ed. Operational research in agriculture and tourism SPR n 202024 202006 42 PUBLIC https://catalogue.library.cern/legacy/2720469 PROCEEDINGS MIGRATED 2720457 SzGeCERN 20210421200743.0 9783030446253 electronic version electronic version print version 9783030446246 print version 9783030446260 print version 9783030446277 DOI 10.1007/978-3-030-44625-3 ebook oai:cds.cern.ch:2720457 cerncds:BOOK eng QA315-316 QA402.3 515.64 23 Computational mathematics and variational analysis Cham Springer 2020 ebook Springer optimization and its applications 1931-6828 159 On some piecewise linear classifiers based on non-smooth optimization (A.M. BAGIROV) -- Local-optimal solutions and their applications (H.D. CHIANG) -- Cyber security investments with nonlinear budget constraints (P. DANIELE) -- Systemic theory and deterministic prediction (N.J. DARAS) -- Poincaré type inequalities for Green’s operator on harmonic forms (S. DING) -- Inequalities for relative operator entropy (S. DRAGOMIR) -- Complementarity and variational inequalities with applications in electronics (D.GOELEVEN) -- Strong and weak convexity of closed sets in a Hilbert space (V.V. GONCHAROV) -- Counterfactual reasoning with Bayesian networks as a healthcare governance tool to enhance defence medical services (E. KYRIMI, S. MOSSADEGH, N. TAI and W. MARSH) -- An optimization methodology for operational environmental forecasting systems (G. KOUMPAROULIS and G. GALANIS) -- When Data reveals ransomware activity (J.L. LANET) -- On non-smooth multiobjective optimality conditions (M.M. MAKELA) -- Small array systems with massive performance capabilities: Beamforming, localization and tracking (A. MANIKAS and V. SRIDHAR) -- Bottom-up hierarchical ramp secret sharing scheme (G. MELETIOU, S.A.N. ALEXANDROPOULOS, D. S. TRIANTAFYLLOU and M.N. VRAHATIS) -- Separation of finitely many convex sets (D. PALLASCHKE) -- Optimization Theory (P. PARDALOS) -- Blind transfer of personal data insuring privacy (R. ROLLAND and A. BONNECAZE) -- Optimization problems with hidden nonconvex structures (A.S. STREKALOVSKY) -- On the congruence subgroups of braid groups (C.STYLIANAKIS) -- Military info-support operations in modern conflicts: evolution of MISO’s methodology during the modern conflicts in XXI century (T. SCZUREK and M. GORNIKIEWICZ) -- Safety and Security for the system-of-systems in the military from a cyber-physical perspective in the new era of Internet-of-Things (W.R. TSAGALIDIS) -- Formal modeling and verification of an autonomous swarm of UAVs for monitoring applications (A. TSOURDOS and V. LAPPAS) -- Metrical Pareto efficiency and monotonicity (M. TURINICI). This volume presents a broad discussion of computational methods and theories on various classical and modern research problems from pure and applied mathematics. Readers conducting research in mathematics, engineering, physics, and economics will benefit from the diversity of topics covered. Contributions from an international community treat the following subjects: calculus of variations, optimization theory, operations research, game theory, differential equations, functional analysis, operator theory, approximation theory, numerical analysis, asymptotic analysis, and engineering. Specific topics include algorithms for difference of monotone operators, variational inequalities in semi-inner product spaces, function variation principles and normed minimizers, equilibria of parametrized N-player nonlinear games, multi-symplectic numerical schemes for differential equations, time-delay multi-agent systems, computational methods in non-linear design of experiments, unsupervised stochastic learning, asymptotic statistical results, global-local transformation, scattering relations of elastic waves, generalized Ostrowski and trapezoid type rules, numerical approximation, Szász Durrmeyer operators and approximation, integral inequalities, behaviour of the solutions of functional equations, functional inequalities in complex Banach spaces, functional contractions in metric spaces. Mathematics and statistics SPR202006 SzGeCERN Mathematical Physics and Mathematics BOOK Daras, Nicholas ed. Rassias, Themistocles ed. SPR n 202024 202006 21 PUBLIC https://catalogue.library.cern/legacy/2720457 BOOK MIGRATED 2720417 SzGeCERN 20210421200746.0 9783030447182 electronic version electronic version print version 9783030447175 print version 9783030447199 print version 9783030447205 DOI 10.1007/978-3-030-44718-2 ebook oai:cds.cern.ch:2720417 cerncds:BOOK eng QA71-90 518 23 Data analysis for direct numerical simulations of turbulent combustion from equation-based analysis to machine learning Cham Springer 2020 ebook Partial A-Posteriori LES of DNS Data of Turbulent Combustion -- Application of the Optimal Estimator Analysis to Turbulent Combustion Modeling -- Reduced Order Modeling of Rocket Combustion Flows -- Dynamic Mode Decompositions: A Tool to Extract Structure Hidden in Massive Dataset -- Analysis of Combustion-Modes Through Structural and Dynamic Technique -- Analysis of the Impact of Combustion On Turbulence: Triadic Analysis, Wavelets, Structure Functions, Spectra -- Analysis of Flame Topology and Burning Rates -- Dissipation Element Analysis of Turbulent Combustion -- Higher Order Tensors for DNS Data Analysis and Compression -- Covariant Lyapunov Vector Analysis of Turbulent Reacting Flows -- CEMA Analysis Applied to DNS Data -- Combined Computational Singular Perturbation-Tangential Stretching Rate Diagnostics of Large -- Scale Simulations of Reactive Turbulent Flows: Feature Tracking, Time Scale Characterization, and Cause/Effect Identification -- Genetic Algorithms Applied to LES Model Development -- Sub-grid Scale Signal Reconstruction: From Discrete and Iterative Deconvolution Operators to Convolutional Neural Networks -- Machine Learning for Combustion Rate Shaping -- Machine Learning of Combustion LES Models from DNS -- Developing Artificial Neural Networks Based Models for Complex Turbulent Flow by Utilizing DNS Database. This book presents methodologies for analysing large data sets produced by the direct numerical simulation (DNS) of turbulence and combustion. It describes the development of models that can be used to analyse large eddy simulations, and highlights both the most common techniques and newly emerging ones. The chapters, written by internationally respected experts, invite readers to consider DNS of turbulence and combustion from a formal, data-driven standpoint, rather than one led by experience and intuition. This perspective allows readers to recognise the shortcomings of existing models, with the ultimate goal of quantifying and reducing model-based uncertainty. In addition, recent advances in machine learning and statistical inferences offer new insights on the interpretation of DNS data. The book will especially benefit graduate-level students and researchers in mechanical and aerospace engineering, e.g. those with an interest in general fluid mechanics, applied mathematics, and the environmental and atmospheric sciences. Mathematics and statistics SPR202006 SzGeCERN Mathematical Physics and Mathematics SPR Computer science SPR Environment SPR Computer Science, general SPR Environment, general BOOK Pitsch, Heinz ed. Attili, Antonio ed. SPR n 202024 202006 21 PUBLIC https://catalogue.library.cern/legacy/2720417 BOOK MIGRATED 2720398 SzGeCERN 20210421200748.0 9783030232016 electronic version electronic version 9783030232009 print version DOI 10.1007/978-3-030-23201-6 ebook oai:cds.cern.ch:2720398 cerncds:BOOK eng QC350-467 QC630-648 23 535.2 23 537.6 Synchrotron light sources and free-electron lasers accelerator physics, instrumentation and science applications 2nd ed. Cham Springer 2020 ebook Accelerator Physics -- Facilities and Their Design -- Accelerator Technology -- Production, Characterization, and Handling of Soft and Hard X-Ray Beams -- X-Ray Detectors -- Imaging and Nonlinear X-Ray Optics -- Investigations of Atoms, Molecules, and Clusters -- Applications in Biology -- Applications in Materials Science -- Applications in Condensed Matter Science -- Environmental research and cultural heritage. This handbook presents the development of synchrotron light sources and free-electron lasers as well as new scientific applications. Hardly any other discovery of the nineteenth century had such an impact on science and technology as Wilhelm Conrad Röntgen’s seminal discovery of X-rays in the year 1895. X-ray tubes soon became established as excellent instruments for numerous applications in medicine, biology, materials science and testing, chemistry and even public security. Developing new radiation sources with higher and higher brilliance and much extended spectral range for an ever widening field of research resulted in stunning developments like the electron storage ring and the free-electron laser. This second edition includes both updated chapters and new contributions highlighting the most recent developments in the field. Reports on operation experience of the new FEL facilities are complemented by discussions of new developments in X-ray beamline optics and detectors. Contributions on applications now include high pressure work, catalytic processes and engineering materials, medical applications and studies of cultural heritage. New contributions on IR spectroscopy, resonant inelastic X-ray scattering (RIXS) and studies of liquids complete this second edition. . Physics and astronomy SPR202006 SzGeCERN Accelerators and Storage Rings SPR Optics SPR Electrodynamics SPR Materials science SPR Physical chemistry SPR Radiology SPR Physical measurements SPR Measurement    SPR Biophysics SPR Biological physics SPR Classical Electrodynamics SPR Characterization and Evaluation of Materials SPR Physical Chemistry SPR Imaging Radiology SPR Measurement Science and Instrumentation SPR Biological and Medical Physics, Biophysics BOOK Jaeschke, Eberhard ed. Khan, Shaukat ed. Schneider, Jochen ed. Hastings, Jerome ed. 1st ed. 2016 2157769 edition Living reference work 2019 2681690 other 202006 SPR n 202024 21 PUBLIC https://catalogue.library.cern/legacy/2720398 BOOK MIGRATED 2720308 SzGeCERN 20210421200757.0 9781787142244 electronic version electronic version 9781787142251 print version oai:cds.cern.ch:2720308 cerncds:BOOK EBL 4718900 eng HD28-70 658.4/012 Bolland, Eric J Comprehensive strategic management a guide for students, insight for managers Bingley Emerald Publishing Limited 2017 424 p ebook Front Cover -- Comprehensive Strategic Management -- Copyright Page -- Contents -- About the Author -- Chapter 1 The Importance of Strategy -- Defining Strategy -- Strategy in History -- Perspectives on Strategy -- Executives on Strategy -- When Strategy Goes Bad -- Perspectives on Strategy -- Chapter 2 Key Functions of Strategic Management -- Risk and Uncertainty Management -- Learning from Insurance Practices -- Financial Analysis -- Visioning -- Planning -- Building and Maintaining Organizational Cohesion -- Managing -- Leadership -- Chapter 3 People, Mission, Vision and Planning in Strategic Management -- Overview -- Human Element in Strategic Management -- Values -- Power -- Vision -- Who Does the Vision Statement? -- Questions of Vision -- Dissecting the Vision Statement -- Good and Bad Vision Statements -- Fixing Poor Vision Statements -- Mission -- Characteristics of Good and Poor Mission Statements -- Fixing Poor Mission Statements -- Comparing Business and Nonbusiness Mission Statements -- Mission Statements in the Same Industry -- Do Mission Statements Matter? -- Mission Statement Authorship -- On Vision and Mission Changes -- Goals, Objectives, Policies, and Procedures -- Organizational Image -- Planning -- Tools for Vision, Mission, and Planning -- Chapter 4 Internal and External Analysis -- What Is Done in the Internal Analysis? -- Who Does the Internal Analysis? -- Tools for Internal Analysis -- Value Chain -- Sensitivity Analysis -- External Analysis -- PEST Analysis -- Sociocultural Factors -- Technology -- Benchmarking -- Natural Environment -- Processing SWOT Information -- Coming Together of Internal and External Assessment -- Historical Analysis -- Mission Statement -- Financial Analysis -- Liquidity -- External Analysis -- Ingersoll's Strategic Plan -- Chapter 5 Generic Strategies and Strategy Dynamics -- Generic Strategies. Criticisms of Strategy Basics -- Industry Life Cycle-Based Strategy Models -- Product Life Cycle and Industry Life Cycle -- Portfolio Models -- BCG Growth-Share Matrix -- Enhancements to the BCG Model -- Critiques of BCG Model -- GE Portfolio Matrix and Beyond -- Strengths of Portfolio Models -- Shortcomings of Portfolio Models -- Implementing Portfolio Models -- Strategy Dynamics -- Resource-Based Theory of the Firm -- Chapter 6 Strategic Planning Process and Tools -- Challenges for Leaders -- The Process -- Strategic Planning as an Event -- Strategic Plan Audiences -- Strategic Planning Tools -- Financial and Financial-Related Tools -- Breakeven Analysis -- Payback Analysis -- Financial Analysis Ratio Tools -- Key Financial Ratios for Strategic Planning -- Some Important Ratios -- Profitability -- Liquidity -- Leverage Ratios -- Activity Ratios -- Balance Sheet, Income Statement, and Cash Flow -- Balance Sheet -- Income Statement -- CASH FLOW -- Strategic Benchmarking -- Cost Benefit and Cost-Effectiveness Analysis -- Decision Tree -- Chapter 7 Competitive Analysis -- Views on Competition -- Origins of Competitors -- Competitive Scope -- Sources of Competitive Advantage -- Conducting Competitive Intelligence -- Identifying Emerging Competitors -- E-Businesses -- What to Do about Competitors -- Establishing a Competitive Action Program -- Loyalty and Customer Satisfaction -- Formal Teams -- Sources of Competitor Information -- Competitor Profiles -- Categorizing Competitors -- More than Competitors, It's Competition -- Environmental Scan -- Competitive Analysis Software -- Chapter 8 Innovation, Diffusion, Disruption and Entrepreneurship -- Innovation -- Sources of Innovation -- Connecting Innovation -- Diffusion -- Rate of Adoption -- Competitive Advantage Diffusion -- Disruptive Innovation -- Disruption and Strategic Innovation. Managing Disruption from Innovation -- Reacting to Disruptions -- Organizations that Produce Innovation -- Innovators and Inventors -- Making Innovation Work -- Entrepreneurship -- Social Reasons for Entrepreneurship -- Economic Reasons for Entrepreneurship -- Relating Entrepreneurship to Strategic Management -- Chapter 9 Ethics and Strategy -- Public Perceptions -- Ethics -- Business Ethics and Strategic Management -- Individual and Organizational Decision Making -- Avoiding and Passing Responsibility -- Other Players in Business Ethics -- Professional Ethics Codes -- Complicity -- Ethical Approaches and Managing Strategy -- Ethics and Us -- Chapter 10 Acquisitions, Joint Ventures, Partnerships, Alliances -- Acquisitions -- Does it Make a Difference if the Acquisition Is a Public or Private Firm? -- Either/Or Considerations in Acquisitions -- The Downside of Acquisitions -- Mergers and Acquisitions -- Working Both Sides of the Deal -- Alliances -- Acquisition or Alliance? -- Diversification -- Alliance Portfolios -- Making Alliances Work -- Joint Ventures -- Rules of the Road in Strategic Alliances -- Alliance Partner Selection -- Learning Partnering: Insight from Practitioners and Scholars -- Chapter 11 International -- Reasons for Going International -- What Is Included in International Business? -- What Is Different about Difference? -- Other Culture Considerations -- Planning Foreign Entry for Small Firms -- A Framework for Determining Advantages in Firm Positioning -- Entry, Experience, and Withdrawal -- Challenges of Strategic Management in the International Arena -- Chapter 12 The People, Power and Strategy -- Constraints on Strategic Management -- CEOs -- CEOs Are People Too -- Practices in Selecting CEOs -- CEOs and Organizational Performance -- CEO Tenure -- The People of Strategy -- Power -- Reaction to Strategic Change. Employee Resistance and Performance Failure -- Observations on Improving Engagement -- Chapter 13 Performance -- The Importance of Measuring Performance -- Guidelines for Choosing Performance Measures -- Balanced Scorecard -- Economic Value Added -- Key Performance Indicators -- Profit Impact of Market Strategy -- Organizational Performance and Human Performance -- Plotting Performance -- The Bane of Unintended Consequences -- Considerations on Performance -- Process of BPM -- Prediction of Business Performance -- Performance and Strategic Management -- Index. This breakthrough book provides students and managers alike with an understanding of the concepts and tools of strategy. EBL202006 Information Transfer and Management SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4718900 ebook n 202023 202006 21 PUBLIC https://catalogue.library.cern/legacy/2720308 BOOK MIGRATED 2720299 SzGeCERN 20210421200758.0 9781780740423 electronic version electronic version 9781851688289 print version oai:cds.cern.ch:2720299 cerncds:BOOK EBL 1792179 eng QE31 .G822 2012 525 Gribbin, John R Planet Earth a beginner's guide London Oneworld Publications 2012 120 p ebook Beginner's guides Intro -- A Beginner's Guide -- Title page -- Copyright page -- Contents -- Foreword -- 1 A brief history of terrestrial time -- 2 Our place in space -- 3 Drifting continents and spreading seas -- 4 What goes up must come down -- 5 Inside and outside the Earth -- 6 The changing Earth -- 7 Fire on Earth -- 8 Our changing planet -- 9 Our changing climate -- 10 Life and Earth -- Appendix 1: The Earth in numbers -- Appendix 2: The timescales of planet Earth -- Further reading -- Acknowledgements -- Index. In this incredible expedition into the origins, workings, and evolution of our home planet, John Gribbin, bestselling author of In Search of Schrödinger's Cat, The Scientists, and In Search of the Multiverse, does what he does best: taking four and a half billion years of mind-boggling science and digging out the best bits. From the physics of Newton and the geology of Wegener, to the environmentalism of Lovelock, this is a must read for Earth's scientists and residents alike. Trained as an astrophysicist at Cambridge University, John Gribbin is currently Visiting Fellow in Astronomy at the University of Sussex, England. EBL202006 Astrophysics and Astronomy SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_1792179 ebook n 202023 21 PUBLIC https://catalogue.library.cern/legacy/2720299 BOOK MIGRATED 2724958 SzGeCERN 20220817145921.0 DOI SISSA 10.22323/1.370.0057 oai:inspirehep.net:1792922 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://old.inspirehep.net/oai2d 2020-07-25T04:00:05Z marcxml oai:inspirehep.net:1792922 2020-07-24T11:58:44Z Inspire 1792922 eng Mendes, Eduardo Brandao De Souza CERN SISSA TCLink: A Timing Compensated High-Speed Optical Link for the HL-LHC experiments SISSA 2020 5 p SISSA The High-Luminosity Large Hadron Collider (HL-LHC) will pose unprecedented requirements in terms of timing distribution. The overall stability has to reach picosecond-levels between tens of thousands of end-points. To mitigate long-term environmental variations in the high-speed optical links, phase monitoring and online/offline compensation might be necessary. The Timing Compensated Link (TCLink) is a protocol-agnostic FPGA core designed for Xilinx devices that provides monitoring and picosecond-level phase adjustment capabilities with no need for external components. The features can be customized for different user application requirements. A proof-of-concept of TCLink on a setup composed by a Xilinx FPGA evaluation board, the Versatile Link+ and the lpGBT prototype chip will be demonstrated. publication CC-BY-NC-ND-4.0 SISSA https://creativecommons.org/licenses/by-nc-nd/4.0/ The Authors publication 2018 SzGeCERN Detectors and Experimental Techniques CERN CERN HL-LHC Baron, Sophie CERN Taylor, Mark CERN 1792847 057 C19-09-02.8 2020 PoS TWEPP2019 2240272 1822872 http://cds.cern.ch/record/2724958/files/PoS(TWEPP2019)057.pdf Fulltext 13 2681428 santiago de compostela20190902 057 ARTICLE ConferencePaper 2724824 20250515232115.0 oai:cds.cern.ch:2724824 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN Inspire 1810287 CERN-THESIS-2020-074 eng Gohil, Chetan Oxford U. Dynamic Imperfections in the Compact Linear Collider 232 p Presented 08 Jun 2020 PhD Oxford U. 2020 The Compact Linear Collider (CLIC) is a proposed TeV-scale electron-positron collider under development at the European Organization for Nuclear Research (CERN). CLIC adopts a staged approach with three centre-of-mass energies: 380 GeV, 1.5 TeV and 3 TeV. This work focuses on the first stage, which has been optimised for studies of the Higgs boson and top-quark physics. A high luminosity is achieved by targeting ultra-small beam sizes at the collision point. Realising these beam sizes relies on the production and transport of ultra-low emittance beams. The preservation of emittance is important in three sections: the Ring to Main Linac (RTML), the Main Linac (ML) and the Beam Delivery System (BDS). Typically, each section is studied individually. In this work, they are integrated into a single simulation, referred to as an ‘integrated simulation'. In an integrated simulation, particles are tracked through the RTML, ML and BDS to reach the collision point. The luminosity is calculated with a full simulation of the collision including beam-beam effects. Imperfections lead to emittance growth and degrade luminosity. Integrated simulations are performed to evaluate the impact of static and dynamic imperfections. The impact of static imperfections is mitigated with well known beam-based tuning procedures. This work focuses on the impact of dynamic imperfections and their mitigation. A well studied dynamic imperfection is ground motion. Integrated simulations in this work show ground motion can be mitigated with a feedback system that corrects the beam trajectory and a stabilisation system for quadrupole magnets. Much of this work is devoted to a newly considered dynamic imperfection, that is stray magnetic fields (SFs). CLIC is sensitive to sub-nT SFs. The typical amplitude of SFs found in an accelerator environment is several orders of magnitude larger than this. Therefore, SFs are a serious consideration in the design and operation of CLIC. %This work examines particular SF sources: natural sources, such as the Earth's magnetic field; environmental sources, such as electrical power infrastructure and technical sources, such as magnets, power cables, ventilation systems, etc. A dedicated mitigation system is needed to ensure SFs do not significantly impact luminosity. A passive shielding technique is investigated. Measurements of the shielding provided by mu-metal for small-amplitude external magnetic fields are performed. With these measurements, a magnetic shielding model is validated. The proposed mitigation strategy for CLIC is to surround sensitive regions of the beamline with a 1 mm mu-metal layer. SFs at two accelerator facilities at CERN are surveyed. With these measurements, a model for SFs is developed. Integrated simulations including SFs are performed and show luminosity loss is effectively mitigated with a beam trajectory feedback system and mu-metal shield. CERN Doctoral Student Program CERN EDS SzGeCERN Accelerators and Storage Rings CERN THESIS CLIC Not applicable Not applicable Not applicable Burrows, Philip Nicholas dir. Oxford U. Schulte, Daniel dir. Oxford U. BE 2239948 16359751 http://cds.cern.ch/record/2724824/files/CERN-THESIS-2020-074.pdf chetan.gohil@cern.ch n 202030 a2020 14 PUBLIC https://repository.cern/legacy/record/2724824 THESIS MIGRATED 2724805 SzGeCERN 20260210075830.0 DOI APS 10.1103/PhysRevA.102.013101 oai:inspirehep.net:1805187 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS HAL hal-02905301 oai:inspirehep.net:1805187 https://inspirehep.net/api/oai2d Inspire 2026-02-09T11:36:04Z 2026-02-10T03:02:02Z marcxml true Inspire 1805187 arXiv arXiv:1911.04342 physics.atom-ph eng Antonello, M. ROR:https://ror.org/04w4m6z96 INFN, Milan Insubria U., Como INFN , Sezione di Milano, via Celoria 16, 20133 Milano, Italy Department of Science and High Technology , University of Insubria, Via Valleggio 11, 22100 Como, Italy APS Rydberg-positronium velocity and self-ionization studies in a 1T magnetic field and cryogenic environment 2020-07-02 2019-11-11 10 p APS We characterized the pulsed Rydberg-positronium production inside the Antimatter Experiment: Gravity, Interferometry, Spectroscopy (AE$\overline{\textrm{g}}$IS) apparatus in view of antihydrogen formation by means of a charge exchange reaction between cold antiprotons and slow Rydberg-positronium atoms. Velocity measurements on the positronium along two axes in a cryogenic environment (≈10K) and in 1T magnetic field were performed. The velocimetry was done by microchannel-plate (MCP) imaging of a photoionized positronium previously excited to the $n$=3 state. One direction of velocity was measured via Doppler scan of this $n$=3 line, another direction perpendicular to the former by delaying the exciting laser pulses in a time-of-flight measurement. Self-ionization in the magnetic field due to the motional Stark effect was also quantified by using the same MCP-imaging technique for Rydberg positronium with an effective principal quantum number $n_\textrm{eff}$ ranging between 14 and 22. We conclude with a discussion about the optimization of our experimental parameters for creating Rydberg positronium in preparation for an efficient pulsed production of antihydrogen. arXiv We characterized the pulsed Rydberg-positronium production inside the AEgIS (Antimatter Experiment: Gravity, Interferometry, Spectroscopy) apparatus in view of antihydrogen formation by means of a charge exchange reaction between cold antiprotons and slow Rydberg-positronium atoms. Velocity measurements on positronium along two axes in a cryogenic environment (10K) and in 1T magnetic field were performed. The velocimetry was done by MCP-imaging of photoionized positronium previously excited to the $n=3$ state. One direction of velocity was measured via Doppler-scan of this $n=3$-line, another direction perpendicular to the former by delaying the exciting laser pulses in a time-of-flight measurement. Self-ionization in the magnetic field due to motional Stark effect was also quantified by using the same MCP-imaging technique for Rydberg positronium with an effective principal quantum number $n_{eff}$ ranging between 14 and 22. We conclude with a discussion about the optimization of our experimental parameters for creating Rydberg-positronium in preparation for an efficient pulsed production of antihydrogen. publication CC-BY-4.0 https://creativecommons.org/licenses/by/4.0/ publication authors 2020 SzGeCERN Physics in General publisher Light-induced processes in atomic-scale systems CERN CERN AD AEGIS AD-6 Belov, A. ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Science , Moscow 117312, Russia Bonomi, G. ROR:https://ror.org/02q2d2610 ROR:https://ror.org/01st30669 U. Brescia INFN, Pavia Department of Mechanical and Industrial Engineering , University of Brescia, via Branze 38, 25123 Brescia, Italy INFN Pavia , via Bassi 6, 27100 Pavia, Italy Brusa, R.S. ROR:https://ror.org/00nhs3j29 Trento U. TIFPA-INFN, Trento Department of Physics , University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy TIFPA/INFN Trento , via Sommarive 14, 38123 Povo, Trento, Italy Caccia, M. ROR:https://ror.org/04w4m6z96 INFN, Milan Insubria U., Como INFN , Sezione di Milano, via Celoria 16, 20133 Milano, Italy Department of Science and High Technology , University of Insubria, Via Valleggio 11, 22100 Como, Italy Camper, A. antoine.camper@cern.ch ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Caravita, R. ROR:https://ror.org/00nhs3j29 TIFPA-INFN, Trento TIFPA/INFN Trento , via Sommarive 14, 38123 Povo, Trento, Italy Castelli, F. ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/00wjc7c48 INFN, Milan Milan U. INFN , Sezione di Milano, via Celoria 16, 20133 Milano, Italy Department of Physics “Aldo Pontremoli” , Università degli Studi di Milano, via Celoria 16, 20133 Milano, Italy Comparat, D. LAC, Orsay Laboratoire Aimé Cotton , Université Paris-Sud, ENS Paris Saclay, CNRS, Université Paris-Saclay, 91405 Orsay Cedex, France Consolati, G. ROR:https://ror.org/04w4m6z96 INFN, Milan Milan Polytechnic Department of Aerospace Science and Technology , Politecnico di Milano, via La Masa 34, 20156 Milano, Italy INFN , Sezione di Milano, via Celoria 16, 20133 Milano, Italy Di Noto, L. ROR:https://ror.org/0107c5v14 ROR:https://ror.org/02v89pq06 Genoa U. INFN, Genoa Department of Physics , University of Genova, via Dodecaneso 33, 16146 Genova, Italy INFN Genova , via Dodecaneso 33, 16146 Genova, Italy Doser, M. ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Fanì, M. ORCID:0000-0002-4284-9614 ROR:https://ror.org/0107c5v14 ROR:https://ror.org/02v89pq06 ROR:https://ror.org/01ggx4157 Genoa U. INFN, Genoa CERN Department of Physics , University of Genova, via Dodecaneso 33, 16146 Genova, Italy INFN Genova , via Dodecaneso 33, 16146 Genova, Italy Physics Department , CERN, 1211 Geneva 23, Switzerland Ferragut, R. ROR:https://ror.org/04w4m6z96 Milan Polytechnic INFN, Milan LNESS , Department of Physics, Politecnico di Milano, via Anzani 42, 22100 Como, Italy INFN , Sezione di Milano, via Celoria 16, 20133 Milano, Italy Fesel, J. ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Gerber, S. ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Gligorova, A. ROR:https://ror.org/039shy520 Vienna, OAW Stefan Meyer Institute for Subatomic Physics , Austrian Academy of Sciences, Boltzmanngasse 3, 1090 Vienna, Austria Glöggler, L.T. ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Guatieri, F. ROR:https://ror.org/00nhs3j29 Trento U. TIFPA-INFN, Trento Department of Physics , University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy TIFPA/INFN Trento , via Sommarive 14, 38123 Povo, Trento, Italy Haider, S. ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Hinterberger, A. ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Khalidova, O. ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Krasnický, D. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Genova , via Dodecaneso 33, 16146 Genova, Italy Lagomarsino, V. ROR:https://ror.org/0107c5v14 ROR:https://ror.org/02v89pq06 Genoa U. INFN, Genoa Department of Physics , University of Genova, via Dodecaneso 33, 16146 Genova, Italy INFN Genova , via Dodecaneso 33, 16146 Genova, Italy Malbrunot, C. ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Mariazzi, S. ROR:https://ror.org/00nhs3j29 Trento U. TIFPA-INFN, Trento Department of Physics , University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy TIFPA/INFN Trento , via Sommarive 14, 38123 Povo, Trento, Italy Matveev, V. ROR:https://ror.org/01a1xfd09 ROR:https://ror.org/044yd9t77 Moscow, INR Dubna, JINR Institute for Nuclear Research of the Russian Academy of Science , Moscow 117312, Russia Joint Institute for Nuclear Research , Dubna 141980, Russia Müller, S.R. ROR:https://ror.org/038t36y30 Kirchhoff Inst. Phys. Kirchhoff-Institute for Physics , Heidelberg University, Im Neuenheimer Feld 227, 69120 Heidelberg, Germany Nebbia, G. ROR:https://ror.org/00z34yn88 INFN, Padua INFN Padova , via Marzolo 8, 35131 Padova, Italy Nedelec, P. ROR:https://ror.org/02avf8f85 Lyon, IPN Institute of Nuclear Physics , CNRS/IN2p3, University of Lyon 1, 69622 Villeurbanne, France Nowak, L. ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Oberthaler, M. ROR:https://ror.org/038t36y30 Kirchhoff Inst. Phys. Kirchhoff-Institute for Physics , Heidelberg University, Im Neuenheimer Feld 227, 69120 Heidelberg, Germany Oswald, E. ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Pagano, D. ROR:https://ror.org/02q2d2610 ROR:https://ror.org/01st30669 U. Brescia INFN, Pavia Department of Mechanical and Industrial Engineering , University of Brescia, via Branze 38, 25123 Brescia, Italy INFN Pavia , via Bassi 6, 27100 Pavia, Italy Penasa, L. ROR:https://ror.org/00nhs3j29 Trento U. TIFPA-INFN, Trento Department of Physics , University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy TIFPA/INFN Trento , via Sommarive 14, 38123 Povo, Trento, Italy Petracek, V. ROR:https://ror.org/03kqpb082 Prague, Tech. U. Czech Technical University, Prague , Brehová 7, 11519 Prague 1, Czech Republic Prelz, F. ROR:https://ror.org/04w4m6z96 INFN, Milan INFN , Sezione di Milano, via Celoria 16, 20133 Milano, Italy Rienäcker, B. benjamin.rienaecker@cern.ch ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Røhne, O.M. ROR:https://ror.org/01xtthb56 Oslo U. Department of Physics, University of Oslo , Sem Saelandsvei 24, 0371 Oslo, Norway Rotondi, A. ROR:https://ror.org/01st30669 ROR:https://ror.org/00s6t1f81 INFN, Pavia Pavia U. INFN Pavia , via Bassi 6, 27100 Pavia, Italy Department of Physics, University of Pavia , via Bassi 6, 27100 Pavia, Italy Sandaker, H. ROR:https://ror.org/01xtthb56 Oslo U. Department of Physics, University of Oslo , Sem Saelandsvei 24, 0371 Oslo, Norway Santoro, R. ROR:https://ror.org/04w4m6z96 INFN, Milan Insubria U., Como INFN , Sezione di Milano, via Celoria 16, 20133 Milano, Italy Department of Science and High Technology , University of Insubria, Via Valleggio 11, 22100 Como, Italy Testera, G. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Genova , via Dodecaneso 33, 16146 Genova, Italy Tietje, I.C. ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Wolz, T. ROR:https://ror.org/01ggx4157 CERN Physics Department , CERN, 1211 Geneva 23, Switzerland Zimmer, C. ROR:https://ror.org/01ggx4157 ROR:https://ror.org/01xtthb56 ROR:https://ror.org/038t36y30 CERN Oslo U. Heidelberg U. Physics Department , CERN, 1211 Geneva 23, Switzerland Department of Physics, University of Oslo , Sem Saelandsvei 24, 0371 Oslo, Norway Department of Physics, Heidelberg University , Im Neuenheimer Feld 226, 69120 Heidelberg, Germany Zurlo, N. ROR:https://ror.org/01st30669 ROR:https://ror.org/02q2d2610 INFN, Pavia U. Brescia INFN Pavia , via Bassi 6, 27100 Pavia, Italy Department of Civil, Environmental, Architectural Engineering and Mathematics, University of Brescia , via Branze 43, 25123 Brescia, Italy AEgIS Collaboration 013101 1 Phys. Rev. A 102 2020 2239922 2285573 http://cds.cern.ch/record/2724805/files/PhysRevA.102.013101.pdf Fulltext from publisher 2247073 2581033 http://cds.cern.ch/record/2724805/files/arXiv:1911.04342.pdf 2354582 102141 http://cds.cern.ch/record/2724805/files/Fig8_HBar_vs_n.png 00007 On the left ordinate: maximum of the weighted cross-sections; on the right ordinate: the vertical velocity-component $v_x$; both plotted over the set IR-laser wavelength addressing the effective Rydberg-state. The solid lines are meant as eye-guides, while the dashed line represents the limiting velocity of self-ionization. 2354583 2533052 http://cds.cern.ch/record/2724805/files/1911.04342.pdf Fulltext 2354584 74606 http://cds.cern.ch/record/2724805/files/Fig11_Model_cone.png 00010 Dependence of the modeled $v_x$-velocity distribution on Ps emission cone defined by $\theta$ in \emph{roi} 3. 2354585 112248 http://cds.cern.ch/record/2724805/files/Fig10_Model_tp.png 00009 Variance of the modeled $v_x$-velocity distribution for a reasonable range of permanence times $t_{perma}$ in \emph{roi} 3. 2354586 91104 http://cds.cern.ch/record/2724805/files/Fig7_Pos4_H.png 00006 Weighted cross-section for antihydrogen production using Rydberg-\Ps{} with $\lambda_{IR}=\SI{1700}{\nano\meter}$, plotted over the whole accessible range of Ps velocities along the x-axis. 2354587 716181 http://cds.cern.ch/record/2724805/files/Fig5_Doppler.png 00004 a) Doppler scan at \SI{23}{\nano\second} delay b) Doppler scan at \SI{31}{\nano\second} delay: Both distributions have a peak at $v_y=\SI{0}{\meter\per\second}$ corresponding to $\lambda = \SI{205.045}{\nano\meter}$. 2354588 199706 http://cds.cern.ch/record/2724805/files/Fig3_Pos4_Time.png 00002 Observed positronium intensity vs. lasers delay for three different windows (\emph{roi} 1,2,3). The distributions shift towards later times for more distant windows and at the same time decrease in intensity due to the limited geometrical overlap with the laser. 2354589 536852 http://cds.cern.ch/record/2724805/files/Fig2_roi_example_withaxis.png 00001 Combination of an electron reference image (green) and a \Ps{} photoionization image (red): Positronium is emerging from the target border and gets instantaneously ionized when the laser pulses are sent. Unbound positrons are then guided towards the MCP, producing a light-spot. We define regions of interest (\emph{roi 1, roi 2, roi 3}), which have a width of 20 pixel (\SI{0.46}{\milli\meter}) and a length of 500 pixel (\SI{11.5}{\milli\meter}). The window \emph{roi 1} is \SI{2.53}{\milli\meter} away from the Ps origin, \emph{roi 2} \SI{3.91}{\milli\meter} and \emph{roi 3} \SI{5.05}{\milli\meter}. We sum all the intensities within the windows and subtract a background obtained from the averaged signal of the last six delays where no Ps-photoionization could be observed. 2354590 220673 http://cds.cern.ch/record/2724805/files/Fig4_Pos4_Velo.png 00003 Distribution of Ps velocities along the x-axis as obtained from the timing scan of Fig. \ref{fig:timing_pos4} after the treatment specified in the text. The solid lines are obtained from a simulation which is specified in the appendix. The peak-velocities have been marked with orange spots not only for the defined analysis windows, but also for additional windows with the same extent, sliding in steps of 10 pixel from the target border towards the trap electrodes. 2354591 177713 http://cds.cern.ch/record/2724805/files/Fig9_Model.png 00008 Geometry used for the modeling of Ps photoionization with the three \emph{rois} 1,2,3 as used during the experimental analysis. 2354592 351243 http://cds.cern.ch/record/2724805/files/Fig1_Experiment.png 00000 Sketch of the \Ps{}-excitation area. One can see the \macor{} screen in the back, covered with a mesh-grid, the positron/Ps converter target and the trap electrodes. Note the \SI{5}{\milli\meter} gap between the bottom of the converter target and the top of the electrodes which enables the \Ps{} velocimetry. The two-colored spot marks the laser position of an UV-beam (purple), superimposed with an IR-laser (red) used for Ps-excitation as specified in the text. The lasers are centered at \SI{-3.2}{\milli\meter} in z-direction and \SI{1.7}{\milli\meter} in x-direction from the lower edge of the target. 2354593 77655 http://cds.cern.ch/record/2724805/files/Fig6_SelfIonization.png 00005 IR-wavelengths scan corresponding to \Ps{}-Rydberg states (circles with error-bars). The self-ionizing fractions have been normalized to the expected full self-ionization. For $\lambda=\SI{1680}{\nano\meter}$, around \SI{70}{\percent} of \Ps{} ionizes. At $\lambda=\SI{1700}{\nano\meter}$, which corresponds to $n_{eff}\approx16$, only \SI{25}{\percent} is lost. The squares are the result of a modeling of the self-ionizing fraction, as detailed in the text. The model resembles the measured self-ionization per effective state. 13 ARTICLE 2724570 20200722103902.0 oai:cds.cern.ch:2724570 cerncds:FULLTEXT CERN-ESU-011 Document for the 2020 Update of the European Strategy for Particle Physics - Report by Working Group 6 on Sustainability and Environmental impact Geneva CERN 2020 5 p Particle Physics - Phenomenology Particle Physics - Experiment Biscari, Caterina Gaardhøje, Jens Jørgen Ryckbosch, Dirk 2239315 240800 http://cds.cern.ch/record/2724570/files/CERN-ESU-011-WG6_Report.pdf 2239315 28496 http://cds.cern.ch/record/2724570/files/CERN-ESU-011-WG6_Report.jpg?subformat=icon-700 icon-700 2239315 3294 http://cds.cern.ch/record/2724570/files/CERN-ESU-011-WG6_Report.gif?subformat=icon icon 2239315 4465 http://cds.cern.ch/record/2724570/files/CERN-ESU-011-WG6_Report.jpg?subformat=icon-180 icon-180 21 REPORT 2723310 20240314094849.0 DOI 10.17181/CERN.YA66.G3H6 oai:cds.cern.ch:2723310 cerncds:FULLTEXT cerncds:REPORT Inspire 1838539 CERN REPORT IMCC 21 PUBLIC 107 p JAI Graduate Accelerator Physics Programme - student design projects 2020 REPORT Flowerdew, Jake Oxford U. Griffin-Hicks, Peter Oxford U. Hughes, Adam Imperial Coll., London Mussolini, Carlo Alberto Oxford U. Pakuza, Collette Oxford U. Topp-Mugglestone, Max Oxford U. Wang, Wei-Ting Oxford U. Wroe, Laurence Oxford U. 2235683 7222777 http://cds.cern.ch/record/2723310/files/JAI Muon_RCS.pdf emmanuel.tsesmelis@cern.ch A Design for a 3 TeV Rapid Cycling Synchrotron for Muon Acceleration in the SPS Tunnel 2020 Current proposals for new high-energy physics machines either focus on building ever-larger circular hadron colliders, such as the proposed FCC- hh, or on electron-positron linac designs, such as CLIC and ILC. However, muon colliders present an alternative approach to probing new physics at the energy frontier while also offering a number of advantages over hadron or electron-positron colliders. A detailed design for the acceleration stage of a future 3 TeV centre of mass energy muon collider is proposed. The acceleration of muons to 1.5 TeV would be achieved in two hybrid Rapid Cycling Synchrotrons (RCSs), which would both be situated in the existing SPS tunnel at CERN. RCS1 would accelerate counter rotating muons and antimuons from 100 GeV to 900 GeV before they would be injected into RCS2 where they would then be accelerated up to 1.5 TeV. The lattice design was optimised to fit into the SPS tunnel and two dispersion suppressor schemes are presented. Longitudinal simulations were performed in order to study beam loss and collective effects over the acceleration cycle. A radiofrequency cavity was designed, where the optimal frequency and cavity geometry were investigated, before being modelled in 3D. Designs for the normal conducting dipoles and quadrupoles are presented, which meet the requirements detailed in the lattice design while also minimising power consumption. Radiation deposition in the accelerator was also investigated, along with a study on the environmental exposure from neutrino radiation. Student design project as part of the John Adams Institute Graduate Accelerator Physics Programme SzGeCERN Accelerators and Storage Rings Dascalau, Titus Imperial Coll., London h 202007 a2020 eng 2722855 SzGeCERN 20210421200735.0 9783030462703 electronic version electronic version print version 9783030462697 print version 9783030462710 print version 9783030462727 DOI 10.1007/978-3-030-46270-3 ebook oai:cds.cern.ch:2722855 cerncds:BOOK eng QA402.5-402.6 519.6 23 Schiewe, Philine Integrated optimization in public transport planning Cham Springer 2020 ebook Springer optimization and its applications 1931-6828 160 1. Introduction -- 2. Integrating Timetabling and Passenger Routing -- 3. Integrating Line Planning, Timetabling and Passenger Routing -- 4. Integrating Timetabling and Vehicle Scheduling -- 5. Integrating Line Planning, Timetabling, Passenger Routing and Vehicle Scheduling -- 6. Two Heuristic Approaches for Integrating Public Transport Problems -- General Multi-Stage Problems -- 8. Discussion and Conclusion -- Outlook.-A. Supplementary Material.-B. Frequently Used Notation -- Bibliography. This book is one of the first to include an extensive discussion of integrated public transport planning. In times of growing urban populations and increasing environmental awareness, the importance of optimizing public transport systems is ever-developing. Three different aspects are presented: line planning, timetabling, and vehicle scheduling. Classically, challenges concerning these three aspects of planning are solved sequentially. Due to their high interdependence, the author presents a clear and detailed analysis of innovative, integrated models with accompanied numerical experiments performed to assess, and often support, the benefits of integration. The book will appeal to a wide readership ranging from graduate students to researchers. Mathematics and statistics SPR202007 SzGeCERN Mathematical Physics and Mathematics SPR Transportation engineering SPR Traffic engineering SPR Algorithms SPR Transportation Technology and Traffic Engineering BOOK SPR n 202028 202007 21 PUBLIC https://catalogue.library.cern/legacy/2722855 BOOK MIGRATED 2722392 20240501043213.0 oai:cds.cern.ch:2722392 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI bibmatch 10.1007/JHEP12(2020)075 arXiv oai:arXiv.org:2006.04820 oai:inspirehep.net:1800405 https://inspirehep.net/api/oai2d Inspire 2024-04-30T21:47:35Z 2024-05-01T02:00:12Z marcxml true Inspire 1800405 arXiv arXiv:2006.04820 hep-ph arXiv:reportnumber DESY-19-234 arXiv:reportnumber CERN-TH-2020-091 arXiv:reportnumber INR-TH-2020-001 eng Sibiryakov, Sergey sergey.sibiryakov@cern.ch GRID:grid.5333.6 GRID:grid.9132.9 GRID:grid.425051.7 EPFL, Lausanne, LPTP CERN Moscow, INR Institute of Physics, LPTP, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland Theoretical Physics Department, CERN, Geneva, Switzerland Institute for Nuclear Research, Russian Academy of Sciences, 60th October Anniversary Prospect, 7a, 117312 Moscow, Russia arXiv BBN constraints on universally-coupled ultralight scalar dark matter 2020 2020-06-08 34 p arXiv 23 pages + appendices and bibliography, 6 figures, v2: typos corrected, expanded discussion around eq. 4.5, published version arXiv Ultralight scalar dark matter can interact with all massive Standard Model particles through a universal coupling. Such a coupling modifies the Standard Model particle masses and affects the dynamics of Big Bang Nucleosynthesis. We model the cosmological evolution of the dark matter, taking into account the modifications of the scalar mass by the environment as well as the full dynamics of Big Bang Nucleosynthesis. We find that precision measurements of the helium-4 abundance set stringent constraints on the available parameter space, and that these constraints are strongly affected by both the dark matter environmental mass and the dynamics of the neutron freeze-out. Furthermore, we perform the analysis in both the Einstein and Jordan frames, the latter of which allows us to implement the model into numerical Big Bang Nucleosynthesis codes and analyze additional light elements. The numerical analysis shows that the constraint from helium-4 dominates over deuterium, and that the effect on lithium is insufficient to solve the lithium problem. Comparing to several other probes, we find that Big Bang Nucleosynthesis sets the strongest constraints for the majority of the parameter space. preprint CC-BY-4.0 http://creativecommons.org/licenses/by/4.0/ publication CC-BY-4.0 Springer SCOAP3 http://creativecommons.org/licenses/by/4.0/ publication © The Authors CERN-TH arXiv astro-ph.CO SzGeCERN Astrophysics and Astronomy arXiv hep-ph SzGeCERN Particle Physics - Phenomenology CERN ARTICLE Sørensen, Philip ORCID:0000-0003-4780-9088 philip.soerensen@desy.de GRID:grid.7683.a GRID:grid.9026.d DESY Hamburg U., Inst. Theor. Phys. II DESY, Notkestraße 85, 22607 Hamburg, Germany II. Institute of Theoretical Physics, Universität Hamburg, 22761 Hamburg, Germany Yu, Tien-Tien ORCID:0000-0003-4708-809X tientien@uoregon.edu GRID:grid.170202.6 Oregon U. Department of Physics, Institute for Fundamental Science, University of Oregon, 97403 Eugene, USA 075 JHEP 2012 2020 2233261 22153 http://cds.cern.ch/record/2722392/files/He4_Dconstraints_paper_v2.png 00006 \small The numerical constraints on $^4$He (black, solid) and D (black, dashed) derived using {\tt AlterBBN} as compared to the constraints from the analytical approximation of the preceding section (red and orange regions). Again, red corresponds to underproduction of $^4$He and orange corresponds to its overproduction. Deuterium tends to be overproduced. The black dotted line delimits the region of parameters where the coupling becomes large at the scale factor $a_W=10^{-9.6}$ corresponding to the weak freeze-out, $\alpha(a_W)>1$. To the left of this line higher-order terms in the Taylor expansion of the function $\alpha(\phi)$ become important. The right panel zooms in to the region where the constraints exhibit oscillations. Here, the constraints should be taken with caution as they are sensitive to non-linear effects in $\alpha$. 2233262 32903 http://cds.cern.ch/record/2722392/files/He4_Dconstraints_zoom_paper_v2.png 00007 \small The numerical constraints on $^4$He (black, solid) and D (black, dashed) derived using {\tt AlterBBN} as compared to the constraints from the analytical approximation of the preceding section (red and orange regions). Again, red corresponds to underproduction of $^4$He and orange corresponds to its overproduction. Deuterium tends to be overproduced. The black dotted line delimits the region of parameters where the coupling becomes large at the scale factor $a_W=10^{-9.6}$ corresponding to the weak freeze-out, $\alpha(a_W)>1$. To the left of this line higher-order terms in the Taylor expansion of the function $\alpha(\phi)$ become important. The right panel zooms in to the region where the constraints exhibit oscillations. Here, the constraints should be taken with caution as they are sensitive to non-linear effects in $\alpha$. 2233263 6000 http://cds.cern.ch/record/2722392/files/baryonDensityPlot.png 00000 \small \textbf{Left:} The evolution of $ \Theta_{\rm SM} $ as a function of scale factor (solid line). The contribution of non-relativistic baryons $ \Theta_b \propto a^{-3} $ is displayed by the dashed line for reference. Notice the large contribution from the $e^+e^-$ plasma. For reference, we also show the total energy density $\rho_{\rm SM}$ (dotted line). Vertical lines mark the values of the scale factor corresponding to freeze-out of weak interactions ($a_{\rm W}$), the time when electrons become non-relativistic ($a_{e}$) and BBN ($a_{\rm BBN}$). \textbf{Right:} Map of the transition history of DM evolution for various points in parameter space. Each region is labeled with the regimes the field $\phi$ passes from the weak freeze-out to the present time. Example: $I\to H\to B$ refers to an evolution that starts out dominated by the induced mass, then transitions to being dominated by Hubble friction and finally by the bare mass, $m_\phi$. The gray-shaded region on the bottom left is excluded by the condition eq.~\ref{constr1}. 2233264 14915 http://cds.cern.ch/record/2722392/files/transitionsShort.png 00001 \small \textbf{Left:} The evolution of $ \Theta_{\rm SM} $ as a function of scale factor (solid line). The contribution of non-relativistic baryons $ \Theta_b \propto a^{-3} $ is displayed by the dashed line for reference. Notice the large contribution from the $e^+e^-$ plasma. For reference, we also show the total energy density $\rho_{\rm SM}$ (dotted line). Vertical lines mark the values of the scale factor corresponding to freeze-out of weak interactions ($a_{\rm W}$), the time when electrons become non-relativistic ($a_{e}$) and BBN ($a_{\rm BBN}$). \textbf{Right:} Map of the transition history of DM evolution for various points in parameter space. Each region is labeled with the regimes the field $\phi$ passes from the weak freeze-out to the present time. Example: $I\to H\to B$ refers to an evolution that starts out dominated by the induced mass, then transitions to being dominated by Hubble friction and finally by the bare mass, $m_\phi$. The gray-shaded region on the bottom left is excluded by the condition eq.~\ref{constr1}. 2233265 24294 http://cds.cern.ch/record/2722392/files/final_constraints_paper.png 00008 \small Summary of constraints on the scale of the universal quadratic coupling, $1/\Lambda$, as a function of scalar mass $m_\phi$. Only the case of positive coupling is shown. The bounds from the $^4\rm{He}$ and D abundances are shown in the red shaded region. Additional constraints come from supernova cooling and fifth-force searches (blue), superradiance (yellow), the deBroglie wavelength of the smallest dwarf galaxies along with bounds from Ly-$\alpha$ measurements (green), and Eridanus II (purple). The constraints from measurements of the binary pulsar orbital period are given in the yellow dots, corresponding to the resonant bands. Also shown are constraints inferred from the bounds on stochastic gravitational waves by Cassini (CAS) and Pulsar Timing Arrays (PTA). See text for more detail. 2233266 22683 http://cds.cern.ch/record/2722392/files/analyticHe4constraints_paper_v2.png 00004 \small {\bf Left:} BBN constraints on the scalar dark matter parameter space in the case of positive coupling $\alpha=+\phi^2/\Lambda^2$. The shaded region is excluded at 95\%CL. The red shading corresponds to underproduction of $^4$He while the orange shading corresponds to overproduction. Orange dashed line shows the constraint obtained in an analysis that neglects the induced dark matter mass and uses instantaneous weak freeze-out approximation. For the parameters to the left of the black dotted line the coupling $\alpha$ becomes non-perturbative at the time of weak freeze-out (scale factor $a_W=10^{-9.6}$). {\bf Right:} Parameter space of the model with negative coupling $\alpha=-\phi^2/\Lambda^2$. The blue shaded region corresponds to tachyonic instability during BBN. It is excluded unless the initial conditions for dark matter are extremely fine-tuned. The region above the green line admits spontaneous scalarization of neutron stars. 2233267 8015 http://cds.cern.ch/record/2722392/files/analyticHe4negconstraints_paper.png 00005 \small {\bf Left:} BBN constraints on the scalar dark matter parameter space in the case of positive coupling $\alpha=+\phi^2/\Lambda^2$. The shaded region is excluded at 95\%CL. The red shading corresponds to underproduction of $^4$He while the orange shading corresponds to overproduction. Orange dashed line shows the constraint obtained in an analysis that neglects the induced dark matter mass and uses instantaneous weak freeze-out approximation. For the parameters to the left of the black dotted line the coupling $\alpha$ becomes non-perturbative at the time of weak freeze-out (scale factor $a_W=10^{-9.6}$). {\bf Right:} Parameter space of the model with negative coupling $\alpha=-\phi^2/\Lambda^2$. The blue shaded region corresponds to tachyonic instability during BBN. It is excluded unless the initial conditions for dark matter are extremely fine-tuned. The region above the green line admits spontaneous scalarization of neutron stars. 2233268 12004 http://cds.cern.ch/record/2722392/files/evolutionPlotNegative.png 00002 \small {\bf Left:} Evolution of $\phi^2/\Lambda^2$ as a function of scale factor $a$ for the negative coupling and parameters $m_\phi=10^{-17}$ eV, $\Lambda=10^{17.3}$ GeV. The red-dashed curve shows the full numeric solution whereas the solid red curve shows the effective solution which patches together the oscillations with an exponential growth. {\bf Right:} Evolution of $ \phi^2/\Lambda^2$ as a function of scale factor $a$ for positive coupling and parameters $m_\phi=10^{-20}$ eV, $\Lambda=10^{17}$ GeV. The red-dashed curve shows the full numeric solution whereas the red solid curve gives the effective solution which patches together the slowly oscillating/frozen phase with a WKB-type solution in the intermediate regime. The pure WKB amplitude, neglecting Hubble friction, is shown in orange. The green curve shows the evolution of the $\phi$-field neglecting the induced mass. 2233269 40215 http://cds.cern.ch/record/2722392/files/evolutionPlotDetailed.png 00009 Same as fig.~\ref{fig:DM density} (right), but with transition times marked with vertical lines and the amplification function visualized by the red dashed line. The amplification function (gray, dashed), which takes values in the range between 1 and 2, is shown here with an artificial amplitude for visualization. The effective solution (red, solid) is the patching between the full numeric solution (red, dashed) and the WKB-amplitude (orange, solid) for the rapidly-oscillating regions. 2233270 2589038 http://cds.cern.ch/record/2722392/files/2006.04820.pdf Fulltext 2233271 35908 http://cds.cern.ch/record/2722392/files/evolutionPlotPostive.png 00003 \small {\bf Left:} Evolution of $\phi^2/\Lambda^2$ as a function of scale factor $a$ for the negative coupling and parameters $m_\phi=10^{-17}$ eV, $\Lambda=10^{17.3}$ GeV. The red-dashed curve shows the full numeric solution whereas the solid red curve shows the effective solution which patches together the oscillations with an exponential growth. {\bf Right:} Evolution of $ \phi^2/\Lambda^2$ as a function of scale factor $a$ for positive coupling and parameters $m_\phi=10^{-20}$ eV, $\Lambda=10^{17}$ GeV. The red-dashed curve shows the full numeric solution whereas the red solid curve gives the effective solution which patches together the slowly oscillating/frozen phase with a WKB-type solution in the intermediate regime. The pure WKB amplitude, neglecting Hubble friction, is shown in orange. The green curve shows the evolution of the $\phi$-field neglecting the induced mass. 2268800 2290031 http://cds.cern.ch/record/2722392/files/scoap3-fulltext.pdf Article from SCOAP3 2270127 23447 http://cds.cern.ch/record/2722392/files/final_constraints_superradiance.png 00008 \small Summary of constraints on the scale of the universal quadratic coupling, $1/\Lambda$, as a function of scalar mass $m_\phi$. Only the case of positive coupling is shown. The bounds from the $^4\rm{He}$ and D abundances are shown in the red shaded region. Additional constraints come from supernova cooling and fifth-force searches (blue), superradiance (yellow), the deBroglie wavelength of the smallest dwarf galaxies along with bounds from Ly-$\alpha$ measurements (green), and Eridanus II (purple). Above the black dotted lines, the induced mass from the black hole accretion disk exceeds $m_\phi$ and the dynamics of superradiance may be affected. The constraints from measurements of the binary pulsar orbital period are given in the yellow dots, corresponding to the resonant bands. Also shown are constraints inferred from the bounds on stochastic gravitational waves by Cassini (CAS) and Pulsar Timing Arrays (PTA). See text for more detail. 2334635 2290031 http://cds.cern.ch/record/2722392/files/scoap.pdf Article from SCOAP3 13 ARTICLE 2729071 SzGeCERN 20200828220159.0 DOI Elsevier 10.1016/j.nima.2020.164502 oai:inspirehep.net:1812932 cerncds:CERN INSPIRE:HEP ForCDS http://old.inspirehep.net/oai2d 2020-08-28T06:30:17Z marcxml oai:inspirehep.net:1812932 2020-08-27T15:46:52Z Inspire 1812932 eng Nowak, M marie.nowak@chuv.ch CERN Lausanne U. Institute of Radiation Physics, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland Elsevier Characterisation of the impacts of the environmental variables on Timepix3 Si sensor hybrid pixel detector performance 2020 7 p Elsevier The study was conducted to calibrate and characterise the response of the Timepix3 photon-counting hybrid pixel detector. The study was conducted to calibrate and characterise the response of the Timepix3 photon-counting hybrid pixel detector. The goal was also to determine the impact of the angular variation of the detector to the source, of temperature change, and of ambient or strobe light on the on the detector response (measured fluence and energy spectrum). The impacts were studied using X-ray fluorescence lines, as well as Am-241 and Fe-55 radioactive sources. Angular variation measurements indicated angular dependence. This dependency increased with the angle and increased with lower energies. A decrease in fluence of up to 98.4% was recorded for Fe-55 (5.89 keV) and 43.1% for Am-241 (59.56 keV) at an angle of 90°. Temperature measurements showed a 4% decrease of photon count when increasing the temperature from 10 °C to 36 °C. Energy spectra were shifted to lower energies when the temperature increased. Measurements with variable light intensities showed no variations in terms of fluence or energy spectra. However, if it was a strobe light, the fluence was overestimated by 10% and the spectral shape presented an additional artefactual peak around 3 keV. To restrict the variability of the detector response and avoid a time-consuming calculation of the error factor, due to the detector’s temperature variation, we showed that it is necessary to keep the measurement temperature as close as possible to the temperature at which the calibration was performed. We also discovered the necessity of focusing on other relevant parameters such as the effect of the ambient light level or the angle of incidence of the X-ray beam impinging the detector on the detector response. This enabled us to propose a set of correction factors that can be used for other applications. © 2020 Published by Elsevier B.V. SzGeCERN Detectors and Experimental Techniques author Timepix3 author Hybrid pixel detector author Characterisation CERN Tlustos, L CERN Carbonez, P CERN U. Otago, Dept. Radiol. Department of Radiology, University of Otago, Christchurch, New Zealand Verdun, F R Lausanne U. Damet, J CERN Lausanne U. U. Otago, Dept. Radiol. Institute of Radiation Physics, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland 164502 2020 Nucl. Instrum. Methods Phys. Res., A 981 13 ARTICLE 2727747 SzGeCERN 20200811204829.0 DOI IOP 10.1088/1748-0221/15/05/C05004 oai:inspirehep.net:1795452 cerncds:CERN INSPIRE:HEP ForCDS HAL hal-02628109 http://old.inspirehep.net/oai2d 2020-08-11T04:00:10Z marcxml oai:inspirehep.net:1795452 2020-08-10T08:23:11Z Inspire 1795452 eng Rigoletti, G gianluca.rigoletti@cern.ch Lyon U. IOP Performance studies of RPC detectors with new environmentally friendly gas mixtures in presence of LHC-like radiation background 2020 8 p IOP RPC detectors are widely used at the CERN LHC experiments as muon trigger thanks to their excellent time resolution. They are operated with a Freon-based gas mixture containing C2H2F4 as well as some amount of SF6. Both C2H2F4 and SF6 are greenhouse gases with a very high global warming potential. The search of new environmentally friendly gas mixtures is necessary to reduce greenhouse gas emissions and costs as well as to optimize the RPC performance. Several recently available gases with low global warming potential have been identified as possible replacements for C2H2F4 and SF6. More than 60 environmentally friendly gas mixtures have been investigated on 2 mm single-gap RPCs. The RPC detectors have been tested in laboratory conditions and at the CERN Gamma Irradiation Facility, which provides a high energy muon beam combined with an intense gamma source allowing to simulate the background expected at HL-LHC . The performance of RPCs were studied at different gamma rates with the new environmentally friendly gases by measuring efficiency, streamer probability, rate capability, induced charge, cluster size and time resolution. To finalize the studies, the RPCs are now operated under gas recirculation with the selected new gas mixture and exposed to the intense gamma radiation of GIF++ for evaluating possible long-term aging effects, gas damage due to radiation and compatibility of LHC gas system with new gases. IOP Publishing Ltd and Sissa Medialab publication 2020 SzGeCERN Detectors and Experimental Techniques CERN Mandelli, B CERN Guida, R CERN 1783103 C05004 05 C19-10-14.1 2020 JINST 15 13 2690516 siena20191014 C05004 ARTICLE ConferencePaper 2727425 SzGeCERN 20210421200515.0 9781536171655 electronic version electronic version 9781536171648 print version oai:cds.cern.ch:2727425 cerncds:BOOK EBL 6148166 eng TK5103.2 .L673 2020 621.398 Sharma, Ravindra Kumar LoRA and IoT networks for applications in industry 4.0 New York, NY Nova Science Publishers 2020 261 p ebook Computer science, technology and applications Intro -- Contents -- Preface -- Chapter 1 -- Analysis and Design of Oil Pipeline Leaks Monitoring System Using LoRa and IoT Network -- Abstract -- 1. Introduction -- 2. Review of Literature -- 2.1. Leaks Detection Techniques [1] -- Manual Sound Listening -- Noise Correlation Technique -- Transient Analysis Method -- Fiber Optic Method -- Acoustic Emission Sensors -- Accelerometers -- Vapour Sampling Method -- Infrared Thermography -- Ground Penetration Radar -- Fluorescence Method -- Capacitive Sensing -- 3. Proposed Methodology for Pipeline Leakage Monitoring -- 3.1. Safety Operation Controller (SOC) -- Conclusion -- References -- Chapter 2 -- LoRaWAN: A Communication Protocol for IoT Agriculture Applications -- Abstract -- Literature Survey -- Introduction -- Architecture of LoRaWAN -- Synchronization and Scheduling for LoRaWAN -- Message Passing over LoRa -- LoRa Frame structure -- LoRa Simulation Platforms -- Block Diagram -- END Device -- Receiver -- LoRa Gateway -- Hardware Platform -- ADFC Analysis -- Applications LoRa in Multidomain -- Smart Agriculture -- Smart Cities -- Smart Manufacturing -- Smart Building -- Conclusion -- References -- Chapter 3 -- Industrial Hazard Prevention Using Xbee and IoT -- Abstract -- Introduction -- Review of Literature -- Diagrams -- 1. Zonal Mapping -- 2. End Node -- 3. Central Node -- 4. Raspberry Pi -- 5. Arduino UNO R3 -- 6. Nuttify -- 7. Xbee Module -- 8. Geiger Counter -- 9. MQ Gas Sensor -- 10. Flame Sensor -- 11. Buzzer -- Circuit Diagrams -- End Node -- Central Node Using Nuttyfi -- Central Node Using Raspberry Pi -- Software Development -- Codes -- Results and Discussion -- Conclusion -- References -- Chapter 4 -- Essential Aspects of Day to Day Life and Its Influence on Industry 4.0 -- Abstract -- Smart Agriculture -- Methodology -- Guaranteeing Nourishment Safety. Effects of Environmental Changes on Agribusiness -- Parking -- Parking - IoT -- Prerequisite for IoT-Cloud Integration -- Point of Confinement -- Check Control -- Correspondence Assets -- Adaptability -- Receptiveness -- Interoperability -- Lighting -- Natural Light -- Unnatural Light -- Science behind Light -- Light Energy Management -- Results and Conclusion -- References -- Chapter 5 -- Wireless Personal Area Network-Based Waste Monitoring System Using XBee and IoT -- Abstract -- Introduction -- Prior Art -- Proposed Architecture -- XBee Based Smart Sensor -- Local Server -- Main Server -- Conclusion -- References -- Chapter 6 -- Role of Fire Safety Engineering Methods and Devices in Present Scenario: A Review -- Abstract -- Introduction -- Fire Safety Models and Framework -- Integrated Emergency Response and Fire Safety -- Accidental Model for Safety Systems Analysis -- Safety and Security Critical Services in Building Automation and Control -- Fire Detection Systems and Algorithms -- Forest Fire Surveillance -- Weather Condition Monitoring in the Fire Environment -- Vehicle Safety -- Production Life Cycle Management, Health and Safety etc. -- Conclusion -- References -- Chapter 7 -- Mobile Platform Localization in Indoor/Outdoor Techniques: A Review -- Abstract -- Introduction -- RFID, RSSI Based Indoor Robot Localization -- WSN, RSSI Based Mobile Robot Localization -- RSSI and Path Planning Based Mobile Robot -- ZigBee, Bluetooth and Wi-Fi, RSSI Based Indoor Localization -- WSN Based Ariel Beacon Robot -- Camera Based Robot Localization -- Miscellaneous -- Conclusion -- References -- Chapter 8 -- Smart Water Management System Using Pi -- Abstract -- Literature Review -- Software Development -- Hardware Description -- Hardware Development -- Block Diagram -- Results and Outcome -- Conclusion and Future Scope -- References -- Chapter 9. The Importance of Internet of Things (IoT): Applications and Security Challenges -- Abstract -- 1. Introduction -- 2. Internet of Things (IOT) -- 3. Characteristics of Internet of Things (IOT) -- 3.1. Intelligence -- 3.2. Connectivity -- 3.3. Dynamic Nature -- 3.4. Enormous Scale -- 3.5. Sensing -- 3.6. Heterogeneity -- 3.7. Security -- 4. Applications of Internet of Things (IoT) -- 4.1. Connected Health (Digital Health/Tele Health/Telemedicine) -- 4.2. Smart City -- 4.3. Connected Cars -- 4.4. Smart Home -- 4.5. Smart Farming -- 4.6. Smart Retail -- 4.7. Smart Supply Chain -- 5. Internet of Things (IoT) Security -- 5.1. Security Challenges Facing IoT -- 5.1.1. Data Integrity -- 5.1.2. Encryption Capabilities -- 5.1.3. Privacy Issues -- 5.1.4. Common Framework -- 5.1.5. Automation -- 5.1.6. Updations -- 5.2. How to Maintain IoT Security -- 5.2.1. Use Strong Passwords -- 5.2.2. Network Security -- 5.2.3. Patches -- 5.2.4. Consider Necessity -- 6. IoT Identity Protections -- 6.1. IoT-Identity Protection -- Conclusion -- References -- Chapter 10 -- IoT in Fire Safety-An Exciting Future for Smart Building and Cities -- Abstract -- 1. Introduction -- 2. Emerging Technologies as Enablers -- 3. An IoT Based System for Fire Safety -- Conclusion -- References -- Editor's Contact Information -- Index -- Blank Page. EBL202008 Engineering SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6148166 ebook n 202032 202008 21 PUBLIC https://catalogue.library.cern/legacy/2727425 BOOK MIGRATED 2727419 SzGeCERN 20210421200516.0 9780081028919 electronic version electronic version 9780081028902 print version oai:cds.cern.ch:2727419 cerncds:BOOK EBL 6147788 eng QD716.P45 .S874 2020 541.395 Yu, Jiaguo Surface science of photocatalysis San Diego, CA Elsevier Science & Technology 2020 604 p ebook Front Cover -- Surface Science of Photocatalysis -- Interface Science and Technology -- Surface Science of Photocatalysis -- Copyright -- Contents -- Contributors -- 1 - Principle and surface science of photocatalysis -- 1.1 A brief history of photocatalysis -- 1.2 Fundamentals of photocatalysis -- 1.2.1 Thermodynamics of photocatalysis -- 1.2.2 Dynamics of photocatalysis -- 1.3 Surface and interface science of photocatalysis -- 1.3.1 Adsorption and activation -- 1.3.2 Surface redox reactions -- 1.3.3 Interfacial charge separation -- 1.4 Design and evaluation of photocatalysts -- 1.4.1 Design principles -- 1.4.2 Modification strategies -- 1.4.3 Characterization and evaluation methods -- 1.4.3.1 Bandgap -- 1.4.3.2 Band-edge positions -- 1.4.3.3 Lifetime of photogenerated carriers -- 1.4.3.4 Evaluation of photocatalytic activity -- 1.5 Conclusions and perspectives -- References -- 2 - Fundamentals of adsorption for photocatalysis -- 2.1 Introduction -- 2.2 Langmuir adsorption model -- 2.3 Adsorption kinetics equations -- 2.3.1 Pseudo-first-order rate equation -- 2.3.2 Pseudo-second-order rate equation -- 2.4 Photocatalytic kinetic mechanism -- 2.5 Summary -- Note A -- References -- 3 - Hierarchical porous photocatalysts -- 3.1 Introduction -- 3.2 Advantages of hierarchical porous photocatalysts -- 3.3 Strategies for fabrication of hierarchical porous photocatalysts -- 3.4 Classification and design of hierarchical porous photocatalysts -- 3.5 Interface engineering of hierarchical porous photocatalysts -- 3.6 Surface modification of hierarchical porous photocatalysts -- 3.7 Applications consideration of hierarchical porous photocatalysts -- 3.8 Conclusions and perspectives -- References -- 4 - Charge carrier transfer in photocatalysis -- 4.1 Introduction. 4.2 Thermodynamic driving force for charge carrier transfer of photocatalysis and the Gibbs energy landscape -- 4.2.1 Conventional thermodynamic illustration -- 4.2.2 Thermodynamic driving force and Gibbs-energy landscape -- 4.2.3 Relation between charge transfer and catalytic reactions -- 4.2.4 Experimental determination of thermodynamic driving force -- 4.3 Overall physiochemical kinetic picture and fundamental theory for charge carrier transfer of photocatalysis -- 4.4 The effect of intrinsic traps in charge carrier transfer -- 4.4.1 Chemical entities and physiochemical nature of gap states -- 4.4.2 Kinetics of trapping process -- 4.4.3 Charge carrier transport modulated by traps -- 4.4.4 Recombination via multitrapping -- 4.4.5 The effect of trapping on interfacial transfer -- 4.4.6 Gap states as a relay for double-photon induced intrabandgap response -- 4.5 Interparticle and interphasic charge transfer -- 4.5.1 Interparticle charge transfer -- 4.5.2 Interphasic charge transfer -- 4.6 Phenomenological and numerical modeling of charge transfer -- 4.7 Thermal activation feature of charge carrier transfer -- 4.8 Relation between thermodynamics and kinetics of charge transfer -- 4.9 Conclusion -- References -- 5 - Surface heterojunction of photocatalysts -- 5.1 Introduction -- 5.2 Fundamentals of surface heterojunction -- 5.2.1 Roles of surface heterojunction -- 5.2.2 Evidences for surface heterojunction -- 5.2.2.1 DFT calculation -- 5.2.2.2 Selective deposition of cocatalysts -- 5.2.3 Synthesis of photocatalysts with surface heterojunction -- 5.3 Examples of surface heterojunction photocatalysts -- 5.3.1 TiO2 -- 5.3.2 BiVO4 -- 5.3.3 Cu2O -- 5.3.4 CeO2 -- 5.3.5 BiOCl -- 5.3.6 Cu2WS4 -- 5.3.7 Ag-based semiconductors -- 5.4 Conclusion -- References -- 6 - Design and fabrication of direct Z-scheme photocatalysts -- 6.1 Introduction. 6.2 The concept of Z-scheme photocatalytic system -- 6.3 Formation mechanism of direct Z-scheme photocatalysts -- 6.4 Characterization techniques for differentiating direct Z-scheme from type-II heterojunction -- 6.4.1 Photocatalytic CO2 reduction -- 6.4.2 Metal nanoparticle photodeposition -- 6.4.3 Reactive oxygen species generation -- 6.4.3.1 Electron spin resonance spectroscopy -- 6.4.3.2 Photoluminescence spectroscopy -- 6.4.3.3 UV-vis spectroscopy -- 6.4.4 In situ irradiated X-ray photoelectron spectroscopy -- 6.5 Photocatalytic applications -- 6.5.1 Solar fuel production -- 6.5.2 Environmental remediation -- 6.6 Summary -- References -- 7 - One-dimensional TiO2 nanotube-based photocatalysts: enhanced performance by site-selective decoration -- 7.1 Introduction -- 7.2 Formation of 1D self-organized anodic TiO2 NTs -- 7.3 Optimization of photocatalytic efficiency on anodic TiO2 NTs -- 7.4 Embedded junction in the TiO2 NTs -- 7.5 Selective placement of earth-abundant cocatalyst (MoS2) on TiO2 NTs -- 7.6 Conclusion and outlook -- References -- 8 - Modification of ZnO-based photocatalysts for enhanced photocatalytic activity -- 8.1 Introduction -- 8.2 Doping with metals or nonmetals -- 8.2.1 Doping with metals -- 8.2.2 Doping with nonmetals -- 8.3 Deposition of noble metals -- 8.4 Constructing heterojunctions -- 8.4.1 Conventional type-II heterojunction -- 8.4.2 p-n junction -- 8.4.3 Z-scheme heterojunction -- 8.5 Coupling with carbon materials -- 8.5.1 C60-ZnO -- 8.5.2 CNT-ZnO -- 8.5.3 Graphene-ZnO -- 8.6 Summary -- References -- 9 - Doped zinc oxide nanomaterials: structure-electronic properties and photocatalytic applicationsa -- 9.1 Introduction -- 9.2 Influence of doping on the intrinsic properties of ZnO -- 9.3 Photocatalytic activity of doped ZnO -- 9.3.1 Nonmetal-doped ZnO -- 9.3.2 Metal-doped ZnO. 9.3.2.1 Alkali- and alkaline earth metal-doped ZnO -- 9.3.2.2 Metal ion doping from p-block -- 9.3.2.3 Transition metal ion-doped ZnO -- 9.3.2.4 Rare earth-doped ZnO -- 9.3.3 Codoped system -- 9.4 Other factors affecting the photocatalytic activity of doped ZnO -- 9.4.1 Effect of dopant concentration -- 9.4.2 Effect of pH -- 9.5 Conclusion -- References -- 10 - Surface and interface modification strategies of CdS-based photocatalysts -- 10.1 Introduction -- 10.2 Fundamental of CdS photocatalyst -- 10.3 Modification strategy for CdS photocatalyst -- 10.3.1 Engineering surface reaction kinetics -- 10.3.1.1 Loading suitable cocatalyst -- 10.3.1.1.1 Noble metals -- 10.3.1.1.2 Transition metal compounds -- 10.3.1.2 Exposing the reactive facets -- 10.3.1.2.1 One-dimensional structure -- 10.3.1.2.2 Two-dimensional structure -- 10.3.1.2.3 Three-dimensional structure -- 10.3.2 Engineering charge separation kinetics -- 10.3.2.1 Designing nanostructures -- 10.3.2.2 Introducing defects/heteroatoms -- 10.3.2.3 Creating solid solution -- 10.3.2.4 Building heterojunction -- 10.3.2.5 Building homojunction -- 10.3.3 Enhancing stability -- 10.3.3.1 Utilizing sacrificial agents -- 10.3.3.2 Fabricating p-n heterojunction -- 10.3.3.3 Developing Z-scheme heterojunction -- 10.3.3.4 Creating covering layer -- 10.4 Conclusion and perspective -- References -- 11 - Bismuth metal and semiconductor-based photocatalysts: structure tuning, activity enhancement, and reaction mec ... -- 11.1 Introduction -- 11.2 Bismuth with SPR effect as direct photocatalyst and cocatalyst -- 11.2.1 Bi metal as photocatalyst -- 11.2.2 Bi metal as cocatalysts -- 11.3 Bi-based semiconductor photocatalysts and modification strategies -- 11.3.1 Bismuth oxycarbonate -- 11.3.1.1 Oxygen vacancy -- 11.3.1.2 Doping -- 11.3.2 Bismuth(III) oxide -- 11.3.3 Bismuth oxyhalides. 11.4 Reaction mechanism of Bi-based photocatalysts in environmental pollutant degradation -- 11.4.1 An introduction of in situ DRIFTS -- 11.4.2 Photocatalytic reaction mechanism revealed by in situ infrared spectroscopy -- 11.5 Applications of Bi-based photocatalysts -- 11.5.1 Photocatalytic degradation of environmental pollutants -- 11.5.2 Photocatalytic nitrogen fixation -- 11.5.3 Other applications -- 11.6 Conclusion and perspectives -- References -- 12 - Synthesis and performance enhancement for Bi2WO6 photocatalysts -- 12.1 Introduction -- 12.2 Structure and photocatalytic mechanism of Bi2WO6 -- 12.2.1 Crystal structure and band structure -- 12.2.2 Mechanism for photocatalytic oxidation reactions -- 12.3 Controllable synthesis of Bi2WO6 photocatalysts with different morphologies -- 12.3.1 Nanoplates -- 12.3.2 Nanoparticles -- 12.3.3 Hierarchical microspheres -- 12.3.4 Other morphologies -- 12.4 Doping -- 12.4.1 Single-element doping -- 12.4.2 Multielement codoping -- 12.4.3 Self-doping -- 12.5 Surface modification and vacancies -- 12.5.1 Surface hybridization by conjugated π-structured materials -- 12.5.2 Construction of heterojunctions -- 12.5.3 Decoration with quantum dots -- 12.5.4 Surface oxygen vacancies -- 12.6 Bi2WO6 photocatalysts with 3D structure -- 12.7 Photoelectrocatalysis with Bi2WO6 thin film electrode -- 12.8 Bi2WO6 photocatalysts for CO2 reduction -- 12.9 Conclusion -- References -- 13 - Silver-based visible light-responsive photocatalysts -- 13.1 Introduction -- 13.2 Ag-based plasmonic photocatalysts -- 13.2.1 Localized surface plasmon resonance effect -- 13.2.2 Ag/inert insulators -- 13.2.3 Ag/AgX (X=Cl, Br, I) -- 13.2.4 Ag/metal oxide semiconductors -- 13.2.5 Ag/metals -- 13.3 Ag-based semiconductor photocatalysts -- 13.3.1 General introduction -- 13.3.2 Facet controlling -- 13.3.3 Composite photocatalysts. 13.3.4 Polar photocatalysts. EBL202008 Chemical Physics and Chemistry SzGeCERN BOOK Jaroniec, Mietek Jiang, Chuanjia https://cds.cern.ch/auth.py?r=EBLIB_P_6147788 ebook n 202032 202008 21 PUBLIC https://catalogue.library.cern/legacy/2727419 BOOK MIGRATED 2727417 SzGeCERN 20210421200516.0 9781119654698 electronic version electronic version 9781119654636 print version oai:cds.cern.ch:2727417 cerncds:BOOK EBL 6147569 eng QA76.9.C643 .E447 2020 006.8 Tromp, Jolanda G Emerging extended reality technologies for industry 4.0 early experiences with conception, design, implementation, evaluation and deployment Newark, NJ John Wiley & Sons 2020 270 p ebook Cover -- Title Page -- Copyright Page -- Contents -- List of Figures -- List of Tables -- Foreword -- Introduction -- Preface -- Acknowledgments -- Acronyms -- Part I Extended Reality Education -- Chapter 1 Mixed Reality Use in Higher Education: Results From an International Survey -- 1.1 Introduction -- 1.2 Organizational Framework -- 1.3 Online Survey About MR Usage -- 1.4 Results -- 1.4.1 Use in Classrooms -- 1.4.2 Challenges -- 1.4.3 Examples of Research in Action -- 1.4.4 Hardware and Software for Use in Classrooms and Research -- 1.4.5 Challenges Described by Researcher Respondents -- 1.4.6 Anecdotal Responses about Challenges -- 1.5 Conclusion -- Acknowledgments -- References -- Chapter 2 Applying 3D Virtual Reality Technology for Human Body Simulation to Teaching, Learning and Studying Activities -- 2.1 Introduction -- 2.2 Related Works -- 2.3 3D Human Body Simulation System -- 2.3.1 The Simulated Human Anatomy Systems -- 2.3.2 Simulated Activities and Movements -- 2.3.3 Evaluation of the System -- 2.4 Discussion of Future Work -- 2.5 Conclusion -- References -- Part II Internet of Things -- Chapter 3 A Safety Tracking and Sensor System for School Buses in Saudi Arabia -- 3.1 Introduction -- 3.2 Related Work -- 3.3 Data Gathering Phase -- 3.3.1 Questionnaire -- 3.3.2 Driver Interviews -- 3.4 The Proposed Safety Tracking and Sensor School Bus System -- 3.4.1 System Analysis and Design -- 3.4.2 User Interface Design -- 3.5 Testing and Results -- 3.6 Discussion and Limitation -- 3.7 Conclusions and Future Work -- References -- Chapter 4 A Lightweight Encryption Algorithm Applied to a Quantized Speech Image for Secure Internet of Things -- 4.1 Introduction -- 4.2 Applications of IoT -- 4.3 Security Challenges in IoT -- 4.4 Cryptographic Algorithms for IoT -- 4.5 The Proposed Algorithm -- 4.6 Experimental Setup -- 4.7 Results and Discussion. 4.8 Conclusion -- Acknowledgment -- References -- Part III Mobile Technology -- Chapter 5 The Impact of Social Media Adoption on Entrepreneurial Ecosystem -- 5.1 Introduction -- 5.2 Background -- 5.2.1 Small and Medium-Sized Enterprises (SMEs) -- 5.2.2 Social Media -- 5.2.3 Social Networks and Entrepreneurial Activities -- 5.3 Analysis Methodology -- 5.4 Understanding the Entrepreneurial Ecosystem -- 5.5 Social Media and Entrepreneurial Ecosystem -- 5.5.1 Social Media Platforms and Entrepreneurship -- 5.5.2 The Drivers of Social Media Adoption -- 5.5.3 The Motivations and Benefits for Entrepreneurs to Use Social Media -- 5.5.4 Entrepreneurship Activities Analysis Techniques in Social Media Networks -- 5.6 Research Gap and Recommended Solution -- 5.6.1 Research Gap -- 5.6.2 Recommended Solution -- 5.7 Conclusion -- References -- Chapter 6 Human Factors for E-Health Training System: UX Testing for XR Anatomy Training APP -- 6.1 Introduction -- 6.2 Mobile Learning Applications -- 6.3 Ease of Use and Usability -- 6.3.1 Effectiveness -- 6.3.2 Efficiency -- 6.3.3 Satisfaction -- 6.4 Methods and Materials -- 6.5 Results -- 6.5.1 Task Completion Rate (TCR) -- 6.5.2 Time-on-Task (TOT) -- 6.5.3 After-Scenario Questionnaire (ASQ) -- 6.5.4 Post-Study System Usability Questionnaire (PSSUQ) -- 6.6 Conclusion -- References -- Part IV Towards Digital Twins and Robotics -- Chapter 7 Augmented Reality at Heritage Sites: Technological Advances and Embodied Spatially Minded Interactions -- 7.1 Introduction -- 7.2 Augmented Reality Devices -- 7.3 Detection and Tracking -- 7.4 Environmental Variation -- 7.5 Experiential and Embodied Interactions -- 7.6 User Experience and Presence in AR -- References -- Chapter 8 TELECI Architecture for Machine Learning Algorithms Integration in an Existing LMS -- 8.1 Introduction -- 8.2 TELECI Architecture. 8.2.1 TELECI Interface to a Real LMS -- 8.2.2 First RS Steps in the TELECI System -- 8.2.3 Real Student Data for VS Model -- 8.2.4 TELECI Interface to VS Subsystem -- 8.2.5 TELECI Interface to AI Component -- 8.3 Implementing ML Technique -- 8.3.1 Organizational Activities -- 8.3.2 Data Processing -- 8.3.3 Computing and Networking Resources -- 8.3.4 Introduction to Algorithm -- 8.3.5 Calibration Experiment -- 8.4 Learners' Activity Issues -- 8.5 Conclusion -- Acknowledgment -- References -- Part V Big Data Analytics -- Chapter 9 Enterprise Innovation Management in Industry 4.0: Modeling Aspects -- 9.1 Introduction -- 9.2 Conceptual Model of Enterprise Innovation Process Management -- 9.3 Formation of Restrictions for Enterprise Innovation Management Processes -- 9.4 Formation of Quality Criteria for Assessing Implementation of Enterprise Innovation Management Processes -- 9.5 Statement of Optimization Task of Implementation of Enterprise Innovation Management Processes Program -- 9.6 Structural and Functional Model for Solving the Task of Dynamic -- 9.7 Formulation of the Task of Minimax Program Management of Innovation Processes at Enterprises -- 9.8 General Scheme for Solving the Task of Minimax Program Management of Innovation Processes at the Enterprises -- 9.9 Model of Multicriteria Optimization of Program Management of Innovation Processes at the Enterprises -- 9.10 Conclusion -- References -- Chapter 10 Using Simulation for Development of Automobile Gas Diesel Engine Systems and Their Operational Control -- 10.1 Introduction -- 10.2 Computer Modeling -- 10.3 Gas Diesel Engine Systems Developed -- 10.3.1 Electronic Engine Control System -- 10.3.2 Modular Gas Feed System -- 10.3.3 Common Rail Fuel System for Supply of the Ignition Portion of Diesel Fuel -- 10.4 Results and Discussion -- 10.4.1 Results of Diesel Fuel Supply System Simulation. 10.4.2 Results of Engine Bed Tests -- 10.5 Conclusion -- Acknowledgments -- References -- Part VI Towards Cognitive Computing -- Chapter 11 Classification of Concept Drift in Evolving Data Stream -- 11.1 Introduction -- 11.2 Data Mining -- 11.3 Data Stream Mining -- 11.3.1 Data Stream Challenges -- 11.3.2 Features of Data Stream Methods -- 11.4 Data Stream Sources -- 11.5 Data Stream Mining Components -- 11.5.1 Input -- 11.5.2 Estimators -- 11.6 Data Stream Classification and Concept Drift -- 11.6.1 Data Stream Classification -- 11.6.2 Concept Drift -- 11.6.3 Data Stream Classification Algorithms with Concept Drift -- 11.6.4 Single Classifier -- 11.6.5 Ensemble Classifiers -- 11.6.6 Output -- 11.7 Datasets -- 11.8 Evaluation Measures -- 11.9 Data Stream Mining Tools -- 11.10 Data Stream Mining Applications -- 11.11 Conclusion -- References -- Chapter 12 Dynamical Mass Transfer Systems in Buslaev Contour Networks with Conflicts -- 12.1 Introduction -- 12.2 Construction of Buslaev Contour Networks -- 12.3 Concept of Spectrum -- 12.4 One-Dimensional Contour Network Binary Chain of Contours -- 12.5 Two-Dimensional Contour Network Chainmail -- 12.6 Random Process with Restrictions on the Contour with the Possibility of Particle Movement in Both Directions -- 12.7 Conclusion -- References -- Chapter 13 Parallel Simulation and Visualization of Traffic Flows Using Cellular Automata Theory and Quasigasdynamic Approach -- 13.1 Introduction -- 13.2 The Original CA Model -- 13.3 The Slow-to-Start Version of the CA Model -- 13.4 Numerical Realization -- 13.5 Test Predictions for the CA Model -- 13.6 The QGD Approach to Traffic Flow Modeling -- 13.7 Parallel Implementation of the QGD Traffic Model -- 13.8 Test Predictions for the QGD Traffic Model -- 13.9 Conclusion -- Acknowledgments -- References -- Also of Interest -- EULA. EBL202008 Computing and Computers SzGeCERN EBL Mixed reality-Industrial applications-Congresses EBL Internet of things-Industrial applications-Congresses BOOK Le, Dac-Nhuong Le, Chung Van https://cds.cern.ch/auth.py?r=EBLIB_P_6147569 ebook n 202032 202008 21 PUBLIC https://catalogue.library.cern/legacy/2727417 BOOK MIGRATED 2727408 SzGeCERN 20210421200517.0 9780838946350 electronic version electronic version 9780838918739 print version oai:cds.cern.ch:2727408 cerncds:BOOK EBL 6145896 eng Z674.4 .E936 2020 025.1 Evans, G Edward Management basics for information professionals 4th ed. Chicago, IL American Library Association 2000 368 p ebook Cover -- Title Page -- Copyright Page -- Contents -- List of Illustrations -- Preface -- Part I. Background -- 1. Introduction -- What Is Management? -- Organizational Skill Sets -- You as a Future Manager -- Public and Nonprofit Sectors -- Key Points to Remember -- References -- 2. Organizational Issues -- Formal Organizations -- Public and Nonprofit Sector Organizations -- Environment and the Organization -- Environmental Scanning -- Forecasting -- Organizational Culture -- People Friendly Organizations -- Key Points to Remember -- References -- 3. Legal Issues -- Establishing a Library -- Libraries, Users, Safety, and the Law -- Tort Law and Liability -- Malpractice and Librarians -- Library Services and the Law -- User Privacy -- Contracts and Licenses -- Copyright -- Documentation -- Key Points to Remember -- References -- 4. Leadership -- What Is Leadership? -- Leadership Theories -- Emotional Intelligence -- Developing Leadership Skills -- E-Leadership -- E-Team Issues -- Key Points to Remember -- References -- 5. Ethics -- Ethics Do Matter -- Standards, Values, and Codes -- ALA Code of Ethics -- Key Points to Remember -- References -- Part II. Managerial Functions -- 6. Accountability, Authority, Power, and Delegation -- Power -- Influence -- Authority -- Delegation and Organizational Structure -- Duty and Responsibility -- Accountability -- Governance -- Key Points to Remember -- References -- 7. Vision, Mission, and Planning -- Mission Statements -- Vision Statements -- Value Statements -- Planning Process -- SWOT Analysis -- Types of Plans -- Strategic Planning -- Scenario Planning -- Who Should Plan? -- Value of Planning -- Key Points to Remember -- References -- 8. Assessment, Quality Control, and Operations -- Assessment and Accountability -- What Is Quality? -- Assessment Tools -- Local Data Collection -- Quality Control. Project Management -- Key Points to Remember -- References -- 9. Decision Making -- Decision Making Environment -- Types of Decisions -- Rational Decision Making -- Problem Solving and Rational Decision Making -- Group Decision Making and Accountability -- Decision Aids -- Key Points to Remember -- References -- 10. Change Management -- Nature of Change -- Change Process Models -- Resistance to Change -- Implementing Change -- Stress and the Organization -- Innovation and Libraries -- Key Points to Remember -- References -- 11. Communication -- Communication Process -- Organizational Communication -- Written and Oral Communication -- Listening -- Nonverbal Communication -- Legitimacy of Communication -- Key Points to Remember -- References -- 12. Advocacy and Marketing -- Marketing -- Marketing Process -- Branding -- Public Relations -- Advocacy -- Key Points to Remember -- References -- Part III. Managing People -- 13. Staffing -- Staffing and the Law -- Staffing Process -- The New Hire -- Developing and Retaining Staff -- Performance Appraisal -- Corrective Action -- Grievances -- Collective Bargaining and Merit Systems -- Volunteers -- Key Points to Remember -- References -- 14. Enhancing Performance -- Organizational Development -- Learning Organizations -- Training and Development -- Staff Development Day -- Team Building -- Libraries and Teams -- Key Points to Remember -- References -- 15. Managing Diversity -- Defining Diversity -- How Do You View Cultural Diversity? -- Managerial Responsibility -- Individual Responsibility -- Role of Professional Associations -- Planning for Diversity -- Library Governance and Diversity -- Diversity Program and Staff -- Social Justice and Diversity -- Providing Service to a Diverse Community -- Key Points to Remember -- References -- 16. Motivating Staff -- Motivation Theories -- Motivation in Practice. Encouragement and Recognition -- Key Points to Remember -- References -- Part IV. Managing Things -- 17. Managing Money -- Budget as a Control Device -- Budget Cycle -- Preparation -- Defending the Request -- Budget Types -- Accounting Systems -- Fund Accounting -- Audits and Auditors -- Budget Reports -- Key Points to Remember -- References -- 18. Generating Income -- Revenue Sources -- Fundraising Process -- Seeking Grants -- Key Points to Remember -- References -- 19. Managing Technology -- Staff and User Training -- Technology Planning -- Controlling Technology Costs -- Physical Security -- Intellectual Security -- Cloud Computing -- Social Media -- Collaboration -- Key Points to Remember -- References -- 20. Managing Facilities -- Library as Place -- Managing the Facility -- Housekeeping Matters -- Risk Management -- Health, Safety, and Security -- Emergency and Disaster Management -- Sustainability -- Planning for New Space -- Key Points to Remember -- References -- Part V. Managing Yourself and Your Career -- 21. Other Managerial Skills -- Collaborating, Conflict Management, and Negotiation -- Meeting Management -- Time Management -- Self-Management Skills -- Professional Presentations and Publications -- References -- 22. Creating Your Career -- Career Planning Process -- Marketing Yourself -- Flexible Ways of Working -- Career Breaks -- Moving Forward -- References -- About the Authors -- Index. Evans and new co-author Greenwell pay close attention to management in "new normal" straitened economic conditions and the pervasive impact of technology on a library manager's role. EBL202008 Information Transfer and Management SzGeCERN BOOK Greenwell, Stacey https://cds.cern.ch/auth.py?r=EBLIB_P_6145896 ebook n 202032 21 PUBLIC https://catalogue.library.cern/legacy/2727408 BOOK MIGRATED 2727373 SzGeCERN 20210421200522.0 9781119561095 electronic version electronic version 9781119561040 print version oai:cds.cern.ch:2727373 cerncds:BOOK EBL 6142690 eng HD30.255 .N377 2020 658.4083 Nassos, George P Practical sustainability strategies how to gain a competitive advantage 2nd ed. Newark, NJ John Wiley & Sons 2020 364 p ebook Cover -- Title Page -- Copyright -- Contents -- PREFACE OF GEORGE P. NASSOS -- PREFACE OF NIKOS AVLONAS -- ABOUT THE COMPANION WEBSITE -- Part I INTRODUCTION TO SUSTAINABILITY -- Chapter 1 Urgency to Adopt Sustainability -- Creation of the Environment -- Exceeding the Ecological Footprint -- The Limits to Growth -- Consumption Factor -- Conservation of Water -- The Depletion of Fossil Fuels -- Climate Change -- Population Growth -- The Environment's Big Four -- References -- Chapter 2 Development of the Sustainability Concept and CSR -- CSR TODAY: FROM SHAREHOLDER VALUE TO STAKEHOLDER VALUE -- CSR MEASURING AND REPORTING -- THE SUSTAINABLE DEVELOPMENT CONCEPT THOUSANDS YEARS AGO -- References -- Part II SUSTAINABILITY STRATEGIES -- Chapter 3 Imbedding the UN Sustainable Development Goals to Achieve Sustainability -- UN 2030 Agenda -- The 17 Sustainable Development Goals -- A Real Positive View of the SDGs -- A Further Look at The SDGs -- References -- Chapter 4 The Natural Step -- The Four System Conditions for Sustainability -- System Condition 1-Substances from the Earth's Crust Must Not Systematically Increase in the Ecosphere -- System Condition 2-Substances Produced by Society Must Not Systematically Increase in the Ecosphere -- System Condition 3-The Physical Basis for Productivity and Diversity of Nature Must Not Be Systematically Diminished -- System Condition 4-There Must Be Fair and Efficient Use of Resources with Respect to Meeting Human Needs -- Scientific Rationale for the Natural Step -- The Natural Step Recent Projects -- Interface-The First Company to Adopt the Natural Step -- VinylPlus-The European PVC Industry's Voluntary Commitment to Sustainable Development -- Dow Measures Up -- Nike's Core Values -- Pratt and Whitney Canada's Sustainability Journey -- The Circular Economy -- References. Chapter 5 Eco‐Effective Versus Eco‐Efficient: Sustainability Versus Being "Less Bad" -- FUEL EFFICIENCY -- COMPUTING EFFICIENCY -- MORE DURABLE BRAKE PADS -- INCREASE POLYMER RECYCLING -- REDUCED SEWAGE EFFLUENT -- MORE EFFICIENT CLOCKS -- CRADLE TO CRADLE -- DO NOT TAKE IT TO THE EXTREME -- REFERENCES -- Chapter 6 Servicizing and the Sharing Economy -- SELL ILLUMINATION -- SELL A PAINTED CAR -- SELL FLOOR COMFORT AND ESTHETICS -- SELL WATER TREATMENT SERVICES -- THE EVOLUTION OF THE SHARING ECONOMY -- COLLABORATIVE CONSUMPTION -- CLASS FINAL PROJECTS -- Medication Delivery -- Refill Perfume Shop -- Luggage -- Home Improvement Paint -- Nutrient Services -- Baby Mattresses -- Seat‐Go‐Round -- Bike Helmets -- Q Card for Better Transportation -- REFERENCES -- Chapter 7 Adopting Systems Thinking -- SYSTEM ELEMENTS -- SYSTEM INTERCONNECTIONS -- SYSTEM FUNCTION OR PURPOSE -- TUNNELING THROUGH THE COST BARRIER -- INTERFACE PIPE DESIGN -- REDUCING OIL IMPORTS -- REDUCING CARBON DIOXIDE EMISSIONS -- ILLEGAL IMMIGRATION -- SAILBOAT DESIGN -- REFERENCES -- Chapter 8 Base of the Pyramid -- THE GREAT LEAP DOWNWARD -- ELECTRIFY THE BOTTOM OF THE PYRAMID -- HINDUSTAN LEVER AND NIRMA -- BOP PROTOCOL -- INITIATIVES BY THE WORLD RESOURCES INSTITUTE -- DEVELOPING THE BOTTOM OF THE PYRAMID -- IS THE BASE OF THE PYRAMID A MIRAGE? -- REFERENCES -- Chapter 9 Environmental Innovation Through Biomimicry -- ABALONE -- SPIDER SILK -- BIVALVES -- RHINOCEROS -- FISH‐INSPIRED TRAVEL -- CHEETAHS -- COMPACT AND EFFICIENT STRUCTURE -- ETHANOL -- COLOR FROM STRUCTURE RATHER THAN PIGMENTS -- CRICKET SOUNDS -- BIO‐INSPIRED LEDs -- LESSONS FROM LAVASA -- OWL WINGS INSPIRE WIND TURBINE BLADE DESIGN -- SHAVING RAZORS INSPIRED BY FROG AND CRICKET LEGS -- ADDITIONAL TECHNOLOGIES INSPIRED BY BIOMIMICRY -- MINDFUL MINING: A PROPOSAL -- Introduction -- Business as Usual. Business Unusual: Proposed Business Model -- References -- Chapter 10 The Need and Growth of a Circular Economy -- KALUNDBORG SYMBIOSIS -- EARLIER MODEL -- TERRACYCLE INTRODUCES "LOOP" -- DESIGNING FOR THE CIRCULAR ECONOMY -- THE ELLEN MACARTHUR FOUNDATION -- QUANTITY OF WASTE FOR THE CIRCULAR ECONOMY -- PERSONAL NOTE -- REFERENCES -- ADDITIONAL CASE STUDIES -- Chapter 11 Addressing Climate Change -- ENERGY: WIND TURBINES (ONSHORE) -- ENERGY: SOLAR FARMS -- MATERIALS: REFRIGERATION -- MATERIALS: ALTERNATIVE CEMENT -- FOOD: REDUCED FOOD WASTE -- FOOD: PLANT‐RICH DIET -- WOMEN AND GIRLS: EDUCATING GIRLS AND FAMILY PLANNING -- BUILDINGS AND CITIES: DISTRICT HEATING -- BUILDINGS AND CITIES: INSULATION -- LAND USE: TROPICAL FORESTS -- LAND USE: TEMPERATE FORESTS -- TRANSPORT: ELECTRIC VEHICLES -- TRANSPORT: SHIPS -- TOP 20 SOLUTIONS -- COMING ATTRACTIONS -- REFERENCES -- Chapter 12 Adapting and Building Resilience to Climate Change -- INTERCONNECTEDNESS OF CLIMATE RISKS IN A GLOBALIZED WORLD -- LARGE‐SCALE CLIMATIC SHIFTS -- BUILDING RESILIENCE -- CASE STUDY: MINING COMPANY -- CASE STUDY: EXTRACTIVES SECTOR PARTNERS WITH GOVERNMENT AND COMMUNITIES TO FIGHT MALARIA IN MOZAMBIQUE -- THE STRATEGY DEVELOPMENT PROCESS -- REFERENCES -- Chapter 13 Emergent Technologies for Adaptation -- NO POVERTY AND INNOVATION -- ZERO HUNGER AND INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) PLATFORMS -- GOOD HEALTH, WELLBEING, AND VIRTUAL REALITY -- QUALITY EDUCATION, MIXED REALITIES, AND 5G -- GENDER EQUALITY AND MOBILE TECHNOLOGIES -- CLEAN WATER NANOTECHNOLOGY-SANITATION AND SMART CITIES -- AFFORDABLE CLEAN ENERGY AND BIOFUELS -- DECENT WORK, ECONOMIC GROWTH, AND FUTURE TECHNOLOGIES -- INDUSTRY, INNOVATION, INFRASTRUCTURE, DRONES, AUGMENTED REALITY, AND SMART CITIES -- REDUCING INEQUALITIES -- SUSTAINABLE CITIES AND COMMUNITIES, IoT, AND SMART CITIES. RESPONSIBLE CONSUMPTION AND PRODUCTION -- CLIMATE ACTION-LIFE BELOW WATER-LIFE ON LAND -- PEACE, JUSTICE, STRONG INSTITUTIONS, AND NEW TECHNOLOGICAL CHALLENGES -- REFERENCES -- Chapter 14 The Circular Economy Through Energy Recovery -- UNDERSTANDING WASTE MANAGEMENT -- WASTE‐TO‐ENERGY SYSTEMS -- Incineration -- Combined Heat and Power (Cogeneration) -- Combined Heat, Power, and Cooling (Trigeneration) -- Pyrolysis -- Gasification -- Anaerobic Digestion -- THE CHALLENGES OF WASTE‐TO‐ENERGY INITIATIVES -- THE FUTURE OF WASTE‐TO‐ENERGY INITIATIVES -- REFERENCES -- Chapter 15 Environmentally Effective Buildings -- Net‐Zero Energy Buildings -- LEED Project Certification Process -- LEED Accredited Professional -- Living Building Challenge -- World's Greenest Building -- The WELL Building Standard -- BREEAM -- Other Building Certifications -- References -- Chapter 16 Green Chemistry, Nanotechnology, and "Big Hairy Audacious Goal" -- Green Chemistry -- Nanotechnology -- "Big Hairy Audacious Goal" -- Washing Machines -- Toilets -- Urban Farming -- Case Study -- References -- Chapter 17 Sustainable Strategies and Beyond -- Part III PRACTICAL TOOLS AND GUIDELINES -- Chapter 18 Standards and Guidelines for Managing Sustainability (CSR) -- Need for a Sustainable Strategy -- Managing Sustainability and Standards -- Case Study on Sustainable Strategy -- Global Reporting Initiative (GRI) and Stakeholders -- GRI Interpretations of Stakeholder Engagement -- The Stakeholder Reporting Process -- GRI Tests for Stakeholder Inclusiveness -- Presentation of Reported Stakeholder Discussions -- ISO 26000 Framework -- United Nations Sustainable Development Goals (UN SDGs) -- Case Study: BMO Financial Group-2017 Environmental, Social, and Governance Report and Public Accountability Statement -- Report Extract -- Sustainability Accounting Standards Board (SASB). International Integrated Reporting Council (IIRC) -- Corporate Sustainability Trends -- Issues for Learning and Discussion -- References -- Chapter 19 The Corporation and its Stakeholders -- EXAMINING THE STAKEHOLDER CONCEPT -- STAKEHOLDERS: DEFINITION-PRIMARY AND SECONDARY STAKEHOLDERS -- CASE STUDY: CAMPBELL SOUP COMPANY-2018 CORPORATE RESPONSIBILITY REPORT EXTRACT -- Stakeholder Engagement -- Stakeholder Relations and Attributes-Power, Legitimacy, Urgency -- CASE STUDY: TD-2017 CORPORATE RESPONSIBILITY REPORT EXTRACT -- Stakeholder Engagement -- Balancing Stakeholders' Expectations -- CASE STUDY: HESS CORPORATION-2017 SUSTAINABILITY REPORT EXTRACT -- Stakeholder Engagement -- Stakeholder Engagement Process -- EXTERNAL STAKEHOLDERS -- Materiality Assessment -- CASE STUDY: CAMPBELL SOUP COMPANY-2018 CORPORATE RESPONSIBILITY REPORT EXTRACT -- Materiality Assessment -- Benefits from the Corporation's Responsible Behavior: The Sustainability (CSR) Debate -- The Corporate Social Responsibility (CSR) Debate -- Issues for Learning and Discussion -- REFERENCES -- Chapter 20 Sustainability (CSR or ESG) Reporting -- SUSTAINABILITY (CSR or ESG) REPORTING -- CONTEXT OF REPORTS -- CHANGES OVER THE YEARS -- HESS CORPORATION 2017 SUSTAINABILITY REPORT -- Approach to Reporting -- Reporting Standards -- Materiality -- Boundary Setting -- Restatements -- Assurance -- Requests for Information -- JOHNSON &amp -- JOHNSON 2017 HEALTH FOR HUMANITY REPORT -- About this Report -- B Corporation -- Sustainability in the Supply Chain -- Sustainability Reports and Impact Investments -- Sustainability and ESG Ratings -- CASE STUDY: MARKS AND SPENCER PLAN A REPORT 2018, PLAN A 2025 AND OUR STRATEGY-HELPING TO MAKE M&amp -- S SPECIAL AGAIN -- Transformation Timeframe -- REFERENCES -- Chapter 21 Sustainability Metrics for Improving Impact -- METRICS IN THE GRI GUIDELINES. CASE STUDY: ABM 2017 CORPORATE SUSTAINABILITY REPORT. EBL202008 Information Transfer and Management SzGeCERN BOOK Avlonas, Nikos https://cds.cern.ch/auth.py?r=EBLIB_P_6142690 ebook n 202032 202008 21 PUBLIC https://catalogue.library.cern/legacy/2727373 BOOK MIGRATED 2727350 SzGeCERN 20210421200524.0 9789401712170 electronic version electronic version 9789048160914 print version oai:cds.cern.ch:2727350 cerncds:BOOK EBL 4712603 eng QD1-999 541.225 Scott, G Degradable polymers principles and applications 2nd ed. Dordrecht Springer 2003 488 p ebook Intro -- CONTENTS -- 1 WHY DEGRADABLE POLYMERS? -- 2 AN OVERVIEW OF BIODEGRADABLE POLYMERS AND BIODEGRADATION OF POLYMERS -- 3 DEGRADATION AND STABILIZATION OF CARBON-CHAIN POLYMERS -- 4 TECHNIQUES AND MECHANISMS OF POLYMER DEGRADATION -- 5 BIODEGRADATION OF ALIPHATIC POLYESTERS -- 6 STARCH -POLYMER COMPOSITES -- 7 POLYMERS FROM RENEWABLE RESOURCES -- 8 SUSTAINABLE POLY(HYDROXYALKANOATE) (PHA) PRODUCTION -- 9 POL YHYDROXYALKANOATES: PROPERTIES AND MODIFICATION FOR HIGH VOLUME APPLICATIONS -- 10 BIODEGRADABLE POLYMERS IN MEDICINE -- 11 ENVIRONMENTALLY BIODEGRADABLE W ATER-SOLUBLE POLYMERS -- 12 PLASTICS AND THE ENVIRONMENT -- 13 IN WASTE AND LITTER CONTROL -- SUBJECT INDEX. EBL202008 Chemical Physics and Chemistry SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4712603 ebook n 202032 21 PUBLIC https://catalogue.library.cern/legacy/2727350 BOOK MIGRATED 2727265 SzGeCERN 20210421200528.0 9783642179105 electronic version electronic version 9783642179099 print version oai:cds.cern.ch:2727265 cerncds:BOOK EBL 3066394 eng TA1-2040 515.724 Yager, Ronald R Recent developments in the ordered weighted averaging operators Berlin Springer 2011 299 p ebook Studies in fuzziness and soft computing 265 Title -- Preface -- Contents -- Part I Methods -- OWA Operators and Nonadditive Integrals -- Introduction -- Capacities and Nonadditive Integrals -- Aggregation Operators and Main Classes of OWA Operators -- Mathematical and Behavioral Properties of the OWA Operator -- A Generalization of OWA: The p-Symmetric Choquet Integral -- References -- TheWOWA Operator: A Review -- Introduction -- The WOWA Operator and Other Aggregation Operators -- Arithmetic Mean, Weighted Mean and OWA Operator -- The WOWA Operator -- The Choquet Integral -- Generalizations of theWOWA Operator -- m-Dimensional Distorted Probabilities -- m-Symmetric Fuzzy Measures -- m-Dimensional OWA and m-Dimensional WOWA -- Learning Parameters for the WOWA Operator -- Summary -- References -- Induced Ordered Weighted Averaging Operators -- Introduction -- Preliminaries -- Induced OWA -- Definition -- Properties -- Induced Generalized OWA -- Induced Fuzzy Integrals -- Choices for the Inducing Variable -- Standard Auxiliary Ordering -- Nearest-Neighbor Rules -- Best-Yesterday Models -- Aggregation of Complex Objects -- Group Decision Making -- Multiple Inducing Variables -- Case Study: Induced Choquet Integral for Function Approximation -- Summary -- References -- A Review of the OWA Determination Methods: Classification and Some Extensions -- Introduction -- The Classified Summarization of OWA Determination Methods -- Preliminaries -- The Optimization Based Method -- The Sample Learning Method -- The Function Based Methods -- Argument Dependent Methods -- The Preference Methods -- Comparison and Discussions -- Conclusions -- References -- Fuzzification of the OWA Operators for Aggregating Uncertain Information with Uncertain Weights -- Introduction -- Type-1 OWA for Aggregating Type-1 Fuzzy Sets -- Definition of Type-1 OWA Operator -- Joinness of Type-1 OWA Operator. Special Cases of Type-1 OWA Operators -- Yager's OWA Operator -- Join and Join-Like Operators -- Meet and Meet-Like Operators -- Mean and Mean-Like Operators -- Type-2 OWA Operators for Aggregating Type-2 Fuzzy Sets -- Definition -- A Procedure for Performing IT2FSs-Oriented Type-2 OWA Operations -- Conclusion -- References -- A Majority Guided Aggregation Operator in Group Decision Making -- Introduction -- The Semantics of OWA Operators in an Aggregation Guided by "Majority" Linguistic Quantifiers -- Using IOWA Operators to Compute a Majority Opinion -- Induced Ordered Weighted Averaging Operators -- Computation of a Majority Opinion in Group Decision Making -- The Concept of Fuzzy Majority Opinion -- The Uniqueness of the Majority Opinion -- Ordinal Environment -- Conclusions -- References -- Generating OWA Weights from Individual Assessments -- Introduction -- Preliminaries -- OWA Operators -- Collective Assessments -- A Model for Generating OWA Weights -- Minisum Outcomes -- Minimax Outcomes -- An Illustrative Example -- Minisum Outcomes -- Minimax Outcomes -- Concluding Remarks -- References -- The Role of the OWA Operators as a Unification Tool for the Representation of Collective Choice Sets -- Introduction -- Group Decisions under fuzzy Preferences and a Fuzzy Majority -- Fuzzy Majority and the OWA Operators -- Individual Choice under Fuzzy Preferences -- Collective Choice under Fuzzy Preferences -- Concluding Remarks -- References -- Applying Linguistic OWA Operators in Consensus Models under Unbalanced Linguistic Information -- Introduction -- Preliminaries -- The 2-Tuple Fuzzy Linguistic Representation Model -- Hierarchical Linguistic Contexts -- A Model to Manage Unbalanced Fuzzy Linguistic Information -- An Unbalanced Fuzzy Linguistic Representation Model. An Unbalanced Fuzzy Linguistic Computational Model: Some Unbalanced Linguistic OWA Operators -- A Consensus Model for GDM Problems Based on Unbalanced Linguistic OWA Operators -- Computing Consensus Degrees -- Controlling the Consensus State -- Feedback Mechanism -- Concluding Remarks -- References -- Part II Applications -- Fusion Strategies Based on the OWA Operator in Environmental Applications -- Introduction -- Modeling Environmental Phenomena -- Modeling an Environmental Anomaly Indicator by the OWA -- Consensual Fusion of Imprecise Spatial Data by a Generalized OWA -- Conclusions -- References -- Decision Making with Dempster-Shafer Theory Using Fuzzy Induced Aggregation Operators -- Introduction -- Preliminaries -- Fuzzy Numbers -- The Fuzzy Induced OWA Operator -- The Fuzzy Induced Hybrid Averaging Operator -- The Fuzzy Induced Generalized OWA Operator -- Fuzzy Induced Generalized Hybrid Averaging Operator -- The Dempster-Shafer Theory of Evidence -- Fuzzy Induced Aggregation Operators in D-S Theory -- Decision Making Approach -- Using FIOWA Operators in Belief Structures -- Families of BS-FIOWA Operators -- Fuzzy Induced Hybrid Averaging Operators in D-S Theory -- Fuzzy Induced Generalized Aggregation Operators in D-S Theory of Evidence -- Application in Financial Decision Making -- Conclusions -- References -- Two Methods for Image Compression/Reconstruction Using OWA Operators -- Introduction -- Preliminary Definitions -- K_\alpha and OWA Operators -- Relation between Atanassov's Operators and OWA Operators -- Calculation of the Coefficient α by Means of Families of OWA Operators -- First Algorithm for Compression and Reconstruction -- Specification of the First Algorithm of Compression -- First Algorithm of Reconstruction -- First Experimental Results -- Eigen Fuzzy Sets and Compression/Reconstruction of Images. Second Algorithm of Compression -- Second Algorithm of Reconstruction -- Experimental Results for the Second Compression and Reconstruction Algorithms -- Final Comments -- References -- OWA-Based Fuzzy m-ary Adjacency Relations in Social Network Analysis -- Introduction -- Crisp, Valued and Fuzzy Adjacency Relations in SNA -- Fuzzy m-ary Adjacency Relations and the Degree of Social Relationship -- Some Properties of the OWA-Based Aggregating Function -- Example -- Conclusions -- References -- Soft Computing in Water Resources Management by Using OWA Operator -- Introduction -- OWA Operator -- Revised OWA Operator -- IBWT Projects for Central Iran -- Applying Revised OWA in Soft Ranking of the Alternatives -- Conclusions -- References -- Combination of Similarity Measures in Ontology Matching Using the OWA Operator -- Introduction -- Related Work -- The OWA Operator for Ontology Matching -- Basic Notions in Ontology Matching -- Ontology Matching in FOAM -- The Ordered Weighted Average Operator -- Integration of OWA into FOAM -- Evaluation and Discussion -- Data Sets -- Evaluation Criteria -- Similarity Measures -- Results and Discussion -- Conclusion and Future Work -- References -- Author Index. The simplicity and applicability of OWA operators, first introduced in the 1980s, give them intuitive appeal. This volume includes papers on the underlying theory of OWA operators as well as practical applications in vital areas such as environmental modeling. EBL202008 Mathematical Physics and Mathematics SzGeCERN BOOK Beliakov, Gleb Kacprzyk, Janusz https://cds.cern.ch/auth.py?r=EBLIB_P_3066394 ebook n 202032 21 PUBLIC https://catalogue.library.cern/legacy/2727265 BOOK MIGRATED 2727259 SzGeCERN 20210421200528.0 9783642001857 electronic version electronic version 9783642001840 print version oai:cds.cern.ch:2727259 cerncds:BOOK EBL 3063961 eng QA1-939 519.6 Geem, Zong Woo Music-inspired harmony search algorithm theory and applications Berlin Springer 2009 209 p ebook Studies in computational intelligence 191 Intro -- Preface -- Synopsis -- Contents -- Harmony Search as a Metaheuristic Algorithm -- Overview of Applications and Developments in the Harmony Search Algorithm -- Harmony Search Methods for Multi-modal and Constrained Optimization -- Solving NP-Complete Problems by Harmony Search -- Harmony Search Applications in Mechanical, Chemical and Electrical Engineering -- Optimum Design of Steel Skeleton Structures -- Harmony Search Algorithms for Water and Environmental Systems -- Identification of Groundwater Parameter Structure Using Harmony Search Algorithm -- Modified Harmony Methods for Slope Stability Problems -- Harmony Search Algorithm for Transport Energy Demand Modeling -- Sound Classification in Hearing Aids by the Harmony Search Algorithm -- Harmony Search in Therapeutic Medical Physics -- Author Index. There exists an analogy between music and optimization. This book focuses on a music-inspired metaheuristic algorithm, harmony search. It details both theoretical backgrounds and practical applications of harmony search algorithms. EBL202008 Mathematical Physics and Mathematics SzGeCERN BOOK Geem, Zong Woo https://cds.cern.ch/auth.py?r=EBLIB_P_3063961 ebook n 202032 21 PUBLIC https://catalogue.library.cern/legacy/2727259 BOOK MIGRATED 2727254 SzGeCERN 20210421200529.0 9781447141655 electronic version electronic version 9781447158936 print version oai:cds.cern.ch:2727254 cerncds:BOOK EBL 994517 eng QC71.82-73.8 531.68 de Oliveira Junior, Silvio Exergy production, cost and renewability London Springer 2012 340 p ebook Green energy and technology Intro -- Exergy -- Preface -- Contents -- 1 Introduction -- 2 Exergy, Exergy Costing, and Renewability Analysis of Energy Conversion Processes -- 2.1…Exergy, Quality, and Efficiency -- 2.2…Exergy and Exergy Balance -- 2.2.1 Reversible Work -- 2.2.2 Exergy and Exergy Balance -- 2.2.3 Chemical Exergy Calculation -- 2.3…Exergy: Graphical Representations and Exergy Diagrams -- 2.3.1 Introduction -- 2.3.2 The Physical Exergy in the Enthalpy--Entropy Diagram -- 2.3.3 Diagram Carnot Factor-Enthalpy -- 2.3.4 Diagram Exergy--Enthalpy -- 2.3.5 Diagrams Exergy-Composition and Exergy--Enthalpy for Binary Mixtures -- 2.3.6 Grassmann Diagram -- 2.4…Exergy Efficiency -- 2.4.1 Balance of the Energy Value -- 2.4.2 General Definition of Efficiency -- 2.4.3 Exergy Efficiency -- 2.4.4 Environmental Exergy Efficiency ( eta b,env) -- 2.5…Exergy Costing -- 2.5.1 Introduction -- 2.5.2 Cost Balance -- 2.5.3 Exergy-Based Cost Partition Criteria -- 2.5.4 Application of the Thermoeconomic Analysis -- 2.6…Exergy and Renewability Analysis -- References -- 3 Exergy and Thermoeconomic Analysis of Power Plants, Refrigeration and Polygeneration Systems -- 3.1…Introduction -- 3.2…Exergy Analysis of Cogeneration and Combined Cycle Plants -- 3.2.1 Exergy-Based Performance Parameters -- 3.2.2 Exergy Evaluation of a Cogeneration Plant -- 3.3…Exergy Method for Determining the Electricity Cost Formation in Combined Cycle Power Plants -- 3.3.1 Introduction -- 3.3.2 Method Description -- 3.3.3 Cost Allocation Criteria for the Heat Recovery Steam Generator -- 3.3.4 Results -- 3.3.5 Comments on the Method Application -- 3.4…Exergy and Thermoeconomic Evaluation of Cogeneration Plants for a Chemical Industry -- 3.4.1 Introduction -- 3.4.2 Steam and Electricity Demands -- 3.4.3 Cogeneration Systems -- 3.4.4 Exergy Analysis of the Cogeneration Systems. 3.4.5 Thermoeconomic Analysis of the Cogeneration Systems -- 3.4.6 Discussion of the Obtained Results -- 3.5…Exergy and Thermoeconomic Evaluation of Utilities Plants for a Dairy Industry -- 3.5.1 Introduction -- 3.5.2 Utilities Plant Description -- 3.5.3 Cogeneration Systems -- 3.5.4 Comparative Exergy and Thermoeconomic Analysis -- 3.5.5 Concluding Remarks -- 3.6…Exergoeconomic Evaluation of Trigeneration Systems -- 3.6.1 Introduction -- 3.6.2 Trigeneration Systems -- 3.6.3 Modelling and Simulation of Trigeneration Systems -- 3.6.4 Results -- 3.6.5 Concluding Remarks -- 4 Exergy Evaluation of Petroleum Production and Refining Processes -- 4.1…Introduction -- 4.2…Exergy Analysis of Petroleum Separation Processes in Offshore Platforms -- 4.2.1 Introduction -- 4.2.2 Exergy Analysis of an Offshore Primary Petroleum Processing Plant -- 4.2.3 Thermoeconomic Analysis of an Offshore Platform -- 4.2.3.1 Gas Turbine -- 4.2.3.2 Boiler -- 4.2.3.3 Separator -- 4.2.3.4 Hot Water Pump -- 4.2.3.5 Gas Compression Module -- 4.2.3.6 Oil Pumping Module -- 4.2.3.7 Gas Expansion Valves -- 4.2.4 Exergy Evaluation of an Offshore Petroleum Separation Plant -- 4.2.5 Exergo-Economic Comparison of Petroleum Primary Processing Artificial Lift Systems -- 4.2.5.1 Introduction -- 4.2.5.2 Twin-Screw Multiphase Pump -- 4.2.5.3 Gas Lift System -- 4.2.5.4 Exergoeconomic Analisys -- 4.2.5.5 Comparative Study -- 4.2.5.6 Comparative Results -- 4.2.5.7 Concluding Remarks -- 4.3…Exergy and Thermoeconomic Analysis of a Petroleum Refinery Utilities Plant -- 4.3.1 Introduction -- 4.3.2 Refinery Description -- 4.3.3 Exergy Analysis and Thermoeconomic Approach -- 4.3.4 Results -- 4.3.4.1 Concluding Remarks -- 4.4…Petroleum Refinery Hydrogen Production Unit: Exergy and Production Cost Evaluation -- 4.4.1 Introduction -- 4.4.2 Methane Reforming Process -- 4.4.3 Exergy Analysis of the Plant. 4.4.4 Thermoeconomic Analysis -- 4.4.5 Concluding Remarks -- References -- 5 Chemical Processes Analysis and Improvement -- 5.1…Introduction -- 5.2…Acetaldehyde Production by Ethanol Partial Oxidation -- 5.3…Thermodynamic Model -- 5.3.1 Introduction -- 5.3.2 Process Modeling -- 5.3.2.1 Reactor Model -- 5.3.2.2 Equilibrium Stage Model -- 5.3.2.3 Equilibrium Multi-Stage Model -- 5.3.2.4 Heat exchangers -- 5.3.2.5 Air Blower -- 5.3.3 Thermodynamic Properties -- 5.4…Exergy Analysis of the Original Plant -- 5.4.1 Overall Analysis of the Plant -- 5.4.2 Acetaldehyde Distillation -- 5.4.3 Acetaldehyde Absorption -- 5.4.4 Stripping Ethanol Tower -- 5.5…Exergy Analysis of the Improved Configuration -- 5.6…Concluding Remarks -- References -- 6 Exergy Analysis and Parametric Improvement of the Combined Production of Sugar, Ethanol, and Electricity -- 6.1…Introduction -- 6.2…Energy Conversion in the Production of Sugar, Ethanol, and Electricity -- 6.3…Modeling Approach for Sugar and Ethanol Production Processes -- 6.4…Exergy Analysis of a Traditional Sugarcane Mill -- 6.4.1 Extraction System -- 6.4.2 Juice Treatment -- 6.4.3 Sugar Production -- 6.4.4 Ethanol Production -- 6.4.5 Cogeneration System -- 6.5…Improving the Combined Production of Sugar, Ethanol, and Electricity -- 6.6…Exergy-Based Comparison of Alternatives -- 6.7…Renewability of the Combined Production of Sugar, Ethanol, and Electricity -- 6.8…Concluding Remarks -- References -- 7 Exergy and Renewability Analysis of Liquid Biofuels Production Routes -- 7.1…Introduction -- 7.2…Ethanol Production Process from Sugarcane -- 7.3…Ethanol Production from Amilaceous and Lignocelullosic Biomass -- 7.4…Biodiesel Production Process -- 7.5…Modeling Approach and Simulation of Biofuels Production Processes -- 7.6…Exergy Evaluation of Biofuels Production Processes. 7.7…Renewability Analysis of Liquid Biofuels Production Routes -- 7.8…Concluding Remarks -- References -- 8 Exergy Method for Conception and Assessment of Aircraft Systems -- 8.1…Introduction -- 8.2…Exergy Analysis in Aerospace Industry -- 8.3…Exergy and Thermoeconomic Analysis of a Turbofan During a Typical Commercial Flight -- 8.3.1 Introduction -- 8.3.2 System Description and Modeling -- 8.3.3 Exergy Analysis -- 8.3.3.1 Global Model -- 8.3.3.2 Local Model -- 8.3.4 Exergy Analysis Results -- 8.3.4.1 Global Balance -- 8.3.4.2 Local Balance -- 8.3.5 Thermoeconomic Analysis -- 8.3.5.1 Global Power Plant Production Costs Evaluation -- 8.3.5.2 Local Power Plant Production Costs Evaluation -- 8.3.5.3 Fuel and Power Plant Components Costs -- 8.3.5.4 Results -- 8.3.6 Closing Comments -- 8.4…Aircraft Air Management Systems Trade-off Study Using Exergy Analysis as a Design Comparison Tool -- 8.4.1 Introduction -- 8.4.2 Systems Description -- 8.4.2.1 Engine Bleed Air Architecture -- 8.4.2.2 More Electric Architecture -- 8.4.3 Modeling and Simulation -- 8.4.4 Results -- 8.4.5 Closing Comments -- 8.5…Exergy Method for Conception and Assessment of Aircraft Systems -- 8.5.1 Introduction -- 8.5.2 Conventional Commercial Aircraft Approach -- 8.5.3 Airplane Systems -- 8.5.4 Exergy Analysis of an Airplane Mission -- 8.5.5 Modeling and Simulating the Flying Mission -- 8.5.6 Results -- 8.5.7 Concluding Remarks -- References -- 9 Exergy Analysis and Environmental Impact -- 9.1…Introduction -- 9.2…Exergy Analysis of Environmental Impact Mitigation Processes -- 9.2.1 Exergy Indexes -- 9.2.2 Air Emissions Treatment -- 9.2.3 Soil and Groundwater Remediation -- 9.2.4 Final Disposal of Urban Solid Waste Materials -- 9.2.5 Comments on the Exergy Indexes for Mitigating Environmental Impacts -- 9.3…Exergoenvironmental Evaluation of Wastewater Treatment Processes. 9.3.1 Introduction -- 9.3.2 Configurations of Wastewater Treatment Plants -- 9.3.3 Exergy Evaluation of the Environmental Performance and Renewability of the WTP -- 9.3.4 Concluding Remarks -- References -- 10 Exergy Analysis and Human Body Behavior -- 10.1…Entropy Generation and Life -- 10.2…Exergy Behavior of the Human Body -- 10.2.1 Introduction -- 10.2.2 Human Body Thermal Model -- 10.2.3 Exergy Analysis -- 10.2.4 Results and Discussion -- 10.2.5 Concluding Remarks -- 10.3…Exergy Analysis of Human Respiration Under Physical Activity -- 10.3.1 Introduction -- 10.3.2 Respiratory System Description -- 10.3.3 Exergy Analysis -- 10.3.4 Results -- 10.3.5 Final Considerations -- References -- Author Biography -- Index. Exergy is a powerful analytical tool bridging the conceptual gap between the Second Law of Thermodynamics and applied engineering. This volume shows how it can be deployed in a range of scenarios from power plants to petroleum production and refining. EBL202008 General Theoretical Physics SzGeCERN EBL Power resources BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_994517 ebook n 202032 21 PUBLIC https://catalogue.library.cern/legacy/2727254 BOOK MIGRATED 2727152 SzGeCERN 20210422083023.0 9783030489939 electronic version electronic version print version 9783030489922 print version 9783030489946 print version 9783030489953 DOI 10.1007/978-3-030-48993-9 e-proceedings oai:cds.cern.ch:2727152 cerncds:CONF eng QA76.9.D343 006.312 23 20191008 9th International Collaborative Innovation Networks (COINs) Conference Warsaw, Poland 8 - 9 Oct 2019 2019 warsaw20191008 9 PL COINs 19 20191009 Cham Springer 2020 ebook Springer proceedings in complexity 2213-8684 “No Pain No Gain”: Predicting Creativity Through Body Signals -- Using Body Signals and Facial Expressions to Study the Norms that Drive Creative Collaboration -- Measuring Audience and Actor Emotions at a Theater Play through Automatic Emotion Recognition from Face, Speech, and Body Sensors -- Measuring Moral Values with Smartwatch-based Body Sensors -- Measuring Workload and Performance of Surgeons Using Body Sensors of Smartwatches -- Exploring the Impact of Environmental and Human Factors on Operational Performance of a Logistics Hub -- Heart Beats Brain - Measuring Moral Beliefs through E-Mail Analysis -- Identifying Virtual Tribes by their Language in Enterprise Email Archives -- Digital Coworker. Human-AI Collaboration in Work Environment, on the Example of Virtual Assistants for Management Professions -- Collaborative Innovation Network in Robotics -- A structured Approach to GDPR Compliance -- An Ecosystem for Collaborative Pattern Language Acquisition. This volume is focused on the emerging concept of Collaborative Innovation Networks (COINs). COINs are at the core of collaborative knowledge networks, distributed communities taking advantage of the wide connectivity and the support of communication technologies, spanning beyond the organizational perimeter of companies on a global scale. The book presents the refereed conference papers from the 7th International Conference on COINs, October 8-9, 2019, in Warsaw, Poland. It includes papers for both application areas of COINs, (1) optimizing organizational creativity and performance, and (2) discovering and predicting new trends by identifying COINs on the Web through online social media analysis. Papers at COINs19 combine a wide range of interdisciplinary fields such as social network analysis, group dynamics, design and visualization, information systems and the psychology and sociality of collaboration, and intercultural analysis through the lens of online social media. They will cover most recent advances in areas from leadership and collaboration, trend prediction and data mining, to social competence and Internet communication. Mathematics and statistics SPR202008 SzGeCERN Mathematical Physics and Mathematics SPR Organization SPR Planning SPR Economic sociology SPR Organizational Studies, Economic Sociology SPR Applications of Graph Theory and Complex Networks CONFERENCE PROCEEDINGS Przegalinska, Aleksandra ed. Grippa, Francesca ed. Gloor, Peter ed. COINs 19 Acronym Digital Transformation of Collaboration SPR n 202032 202008 42 PUBLIC https://catalogue.library.cern/legacy/2727152 PROCEEDINGS MIGRATED 2727143 SzGeCERN 20210422083027.0 9789402420180 electronic version electronic version print version 9789402420173 print version 9789402420197 print version 9789402420449 DOI 10.1007/978-94-024-2018-0 e-proceedings oai:cds.cern.ch:2727143 cerncds:CONF eng QC176.8.N35 T174.7 620.5 23 Nanoscience and Nanotechnology in Security and Protection Against CBRN Threats Sozopol, Bulgaria 4 - 17 May 2018 2018 BG sozopol20180504 20180504 20180517 Dordrecht Springer 2020 ebook NATO science for peace and security series. B, physics and biophysics 1874-6500 Part I General Topics -- Cyber-Physical Systems to Counter CBRN Threats – Sensing Payload Capabilities in Aerial Platforms for Real-Time Monitoring and Analysis -- Part II Material Preparation and Processing -- Application of Ionizing Irradiation for Structure Modification of Nanomaterials -- The Corona Triode Charging/Polarization System -- Transparent Organic-Inorganic Hybrids Obtained from Covalently Bonded Ureasilicate Monomers: Optical and Mechanical Properties -- Sol-Gel Technique to Design Hybrid Materials and Their Application in Water Purification -- BaTiO3 Structure as a Function of the Preparation Method -- Part III Characterization -- Impedance Spectroscopy: Concepts and Applications -- Undesirable Aspects of Fatigue on Stretchable Elastomer Sensors -- Dielectric Characterization of (Bi1-xFex)NbO4 Ceramics Prepared by Wet-Chemical Route -- Part IV Thin Films -- Study of In2O3 Thin Films Doped with As as Active Layer in Position Sensitive Structures -- Design of Mesoscopic Ordered Titania and Silica Hybrid Sol-Gel Films as Planar Waveguide -- Part V Carbon-based Materials -- CVD Diamond and Nanodiamond: Versatile Materials for Countering a Wide Range of CBRN Threats -- Fabrication of Diamond AFM Tips for Quantum Sensing -- Nanostructured Biochar: Production Pathways and Applications -- Part VI Nanowires and Nanoparticles -- Nanowires for NEMS Switches -- Modification of TiO2 and ZnO Particles Under Mechanical Stress with Polypropylene -- Use of Magnetic Susceptibility Measurement for Analysis of Self-organized Magnetic Nanoparticles in Biological Systems -- Part VII Nanocomposites -- Solvent Dispersible Nanocomposite Based on RGO Surface Decorated with Au Nanoparticles for Electrochemical Genosensors -- Electrical Properties in PMMA/Carbon-Dots Nanocomposite Films Below the Percolation Threshold -- Microwave Characteristics (Reflection Losses) of Composite Materials Consisting of Magnetic Nanoparticles -- Dielectric Properties of PMMA/PPy Composite Materials -- Part VIII Polymer-based Materials -- Recent Advances of Electrospinning and Multifunctional Electrospun Textile Materials for Chemical and Biological Protection -- Temperature Effect on Dielectric Properties of Heterogeneous Material Based on Carbon Black Loaded Copolymer Nanocomposite -- Novel Photocross-Linked Polymers for Construction of Laccase-Based Amperometric Biosensors -- Part IX Oxide and Non-oxide glasses -- Surface Phenomena in Glassy Chalcogenides by Gas Sensing -- Phase Composition and Spectroscopic Characterization of Barium Titanate Containing Glass Ceramics -- Near Infrared Photoluminescence of Nd-Doped ZBP glasses -- Determination of the Surface Properties of Combined Metal-Oxide Layers, Obtained by AC-Incorporation of Ni and Cu in Preliminary Formed AAO Matrices -- Part X Applications: Sensors and Detectors -- Testing of pH Nanosensors Based on Polyaniline/Carbon Nanostructures Coated Screen Printed Electrode -- WO3-Based Glass-Crystalline Sensor for Selective Detection of Ammonia Gas -- Part XI Applications: Water Treatment, Environment and Energy- Optimizing Bacterial Cellulose Production Towards Materials for Water Remediation -- Sodium Ferrites: New Materials to be Applied in Energy Storage Devices in a Wide Frequency Range -- Fluorescent Thin Film Probe for Nitro Compounds: Si Containing Poly[Diphenylacetylene] Case Study -- Determination of Surface Groups of Activated Carbons from Different Sources and Their Application for Heavy Metals Treatment -- Recent Trends of the Use of Rare Earth Elements for Efficient Environmentally Compliant Corrosion Protection of Aluminum and Its Alloys -- Part XII Applications: Health and Biological Threats -- Synthesis of PLGA-PEG-PLGA Polymer Nano-Micelles – Carriers of Combretastatin-Like Antitumor Agent 16Z -- Poly(-caprolactone)/Chitosan Nanostructures for Cell Cultivation -- Preparation and Characterization of Zinc and Magnesium Doped Bioglasses -- Polarized Light for Detection of Pathological Changes within Biological Tissues -- Melanoma Cells Uptake and Hyperthermia Tests of Iron-Based Magnetic Nanoparticles -- Index. This book is based on the lectures and contributions of the NATO Advanced Study Institute on “Nanoscience and Nanotechnology in Security and Protection Against CBRN Threats” held in Sozopol, Bulgaria, September 2019. It gives a broad overview on this topic as it combines articles addressing the preparation and characterization of different nanoscaled materials (metals, oxides, glasses, polymers, carbon-based, etc.) in the form of nanowires, nanoparticles, nanocomposites, nanodots, thin films, etc. and contributions on their applications in diverse security and safety related fields. In addition, it presents an interdisciplinary approach drawing on the Nanoscience and Nanotechnology know-how of authors from Physics, Chemistry, Engineering, Materials Science and Biology. A further plus-point of the book, which represents the knowledge of experts from over 20 countries, is the combination of longer papers introducing the background on a certain topic, and brief contributions highlighting specific applications in different security areas. Physics and astronomy SPR202008 SzGeCERN Engineering PROCEEDINGS CONFERENCE Petkov, Plamen ed. Achour, Mohammed ed. Popov, Cyril ed. SPR n 202032 202008 42 PUBLIC https://catalogue.library.cern/legacy/2727143 PROCEEDINGS MIGRATED 2727139 20211129140103.0 oai:cds.cern.ch:2727139 cerncds:FULLTEXT ATL-MUON-SLIDE-2020-260 eng ATL-COM-MUON-2020-036 AUTHOR|(INSPIRE)INSPIRE-00571534 AUTHOR|(SzGeCERN)763788 Han, Kunlin klh@mail.ustc.edu.cn University of Science and Technology of China The ATLAS collaboration Performance of the ATLAS RPC detector and L1 Muon Barrel trigger at $\sqrt{s}$ = 13 TeV 2020 Geneva CERN 06 Aug 2020 20 p Resistive Plate Chambers (RPCs) are gaseous ionisation detectors that are employed by the Level-1 muon trigger system in the barrel region of the ATLAS muon spectrometer. The Level-1 muon trigger system selects muon candidates that are produced in proton-proton collisions at the Large Hadron Collider (LHC). Muon candidates are associated by the Level-1 system with the correct LHC bunch crossing and with one of the six transverse momentum thresholds. The RPCs are arranged in three concentric double layers and consist of approximately 3700 gas volumes, with a total surface of more than 4000 square meters. They operate in a toroidal magnetic field of approximately 0.5 Tesla and provide up to 6 position measurements along the muon trajectory, with a space-time resolution of about 1 cm x 1 ns. This talk will present performance of the RPC detector and Level-1 Muon Barrel trigger system during the latest data taking period at a centre-of-mass energy of 13 TeV. New measurements of RPC cluster size, detector efficiency and timing resolution will be presented. Trigger efficiency measurements obtained using Z boson decays to a muon pair will be summarised. Measurements of gas-gap currents as a function of RPC high voltage and of environmental parameters will be also presented, both with/without beams in the LHC and with an instantaneous luminosity of up to 2x10^34 cm^-2 s^-1. Results of the extrapolations of the RPC detector response to the expected High Luminosity LHC luminosity will be shown. Finally, measurements of the RPC detector response at different high voltage and threshold settings will be discussed, also in the context of expected detector response at the High Luminosity LHC SLIDE CERN CDS-Invenio WebSubmit SzGeCERN Particle Physics - Experiment SzGeCERN Muon CERN RPC CERN detector CERN trigger CERN performance CERN INTNOTE PRIVATLAS PUBLATLASSLIDE CERN LHC ATLAS PH-EP ATLAS Collaboration Conference Paper ATL-MUON-PROC-2020-017 2743575 http://cds.cern.ch/record/2724268 Original Communication (restricted to ATLAS) 2242584 3895257 http://cds.cern.ch/record/2727139/files/ATL-MUON-SLIDE-2020-260.pdf kunlin.han@cern.ch n 202070 91 2721698 prague20200728 PUBLIC 000769569CER PUBLATLASSLIDE Slides 2727136 SzGeCERN 20210209110736.0 DOI IOP 10.1088/1742-6596/1561/1/012001 oai:inspirehep.net:1802243 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://old.inspirehep.net/oai2d 2020-08-06T05:50:09Z marcxml oai:inspirehep.net:1802243 2020-08-05T15:20:46Z Inspire 1802243 eng Abbrescia, M Enrico Fermi Ctr., Rome INFN, Bari Bari U. INFN and Dipartimento Interateneo di Fisica, Universita di Bari, Bari Italy IOP Results from the PolarquEEEst missions 2020 11 p IOP The PolarquEEEst scientific programme consists in a series of measurements of the cosmic ray flux up to the highest latitudes. It started in Summer 2018, when three telescopes made out of scintillators readout by SiPMs were built and installed in Italy, Norway and on a sailboat leaving from North Island, to circumnavigate the Svalbard archipelago and land in Tromsø. They collected data on a latitude range from 44° N up to 82° N, with a dense sampling of the Northernmost interval. The PolarquEEEst mission continued afterwards with a series of measurements in Italy, Southward reaching Lampedusa, and in Germany. In May 2019 the PolarquEEEst collaboration accomplished another important result, installing a cosmic ray observatory for the detection of secondary cosmic muons at Ny Alesund, at 79° N, made of three independent identical detectors positioned a few hundred meters from each other, and synchronized in order to operate together as a network. The configuration used will allow high precision measurements never performed before at these latitudes on a long term, also interesting for their connection with environmental phenomena. The network will also complement the existing stations for the detection of cosmic neutrons at the Svalbard archipelago, enlarging by far the physics scope that is possible to pursue in this field at this peculiar location. Here the various missions are presented, and some preliminary results from the measurements performed are shown. publication CC-BY-3.0 IOP http://creativecommons.org/licenses/by/3.0/ SzGeCERN Detectors and Experimental Techniques CERN Avanzini, C Enrico Fermi Ctr., Rome INFN, Pisa Pisa U. INFN and Dipartimento di Fisica, Universita di Pisa, Pisa Italy Balbi, G INFN, Bologna Bologna U. Baldini, L Enrico Fermi Ctr., Rome INFN, Pisa Pisa U. INFN and Dipartimento di Fisica, Universita di Pisa, Pisa Italy Baldini Ferroli, R Enrico Fermi Ctr., Rome Frascati INFN, Laboratoři Nazionali di Frascati, Frascati (RM) Italy Batignani, G Enrico Fermi Ctr., Rome INFN, Pisa Pisa U. INFN and Dipartimento di Fisica, Universita di Pisa, Pisa Italy Battaglieri, M Enrico Fermi Ctr., Rome INFN, Pisa Pisa U. INFN and Dipartimento di Fisica, Universita di Pisa, Pisa Italy Boi, S Enrico Fermi Ctr., Rome INFN, Cagliari Cagliari U. INFN and Dipartimento di Fisica, Universita di Cagliari, Cagliari Italy Cavazza, D Enrico Fermi Ctr., Rome INFN, Bologna Bologna U. INFN and Dipartimento di Fisica, Universita di Bologna, Bologna Italy Bossini, E Enrico Fermi Ctr., Rome INFN, Siena Siena U. INFN and Dipartimento di Fisica, Universita di Siena, Siena Italy Carnesecchi, F Enrico Fermi Ctr., Rome INFN, Bologna Bologna U. INFN and Dipartimento di Fisica, Universita di Bologna, Bologna Italy Cicalò, C Enrico Fermi Ctr., Rome INFN, Cagliari Cagliari U. INFN and Dipartimento di Fisica, Universita di Cagliari, Cagliari Italy Cifarelli, L Enrico Fermi Ctr., Rome INFN, Bologna Bologna U. INFN and Dipartimento di Fisica, Universita di Bologna, Bologna Italy Coccetti, F Enrico Fermi Ctr., Rome Coccia, E Enrico Fermi Ctr., Rome Rome U., Tor Vergata INFN and Dipartimento di Fisica, Universita di Roma Tor Vergata, Roma Italy Corvaglia, A Enrico Fermi Ctr., Rome INFN, Lecce Salento U. INFN and Dipartimento di Matematica e Fisica, Universita del Salento, Lecce Italy De Gruttola, D Enrico Fermi Ctr., Rome INFN, Salerno Salerno U. ‘iNFN and Dipartimento di Fisica, Universita di Salerno, Salerno Italy De Pasquale, S Enrico Fermi Ctr., Rome INFN, Salerno Salerno U. ‘iNFN and Dipartimento di Fisica, Universita di Salerno, Salerno Italy Fabbri, F Enrico Fermi Ctr., Rome Frascati INFN, Laboratoři Nazionali di Frascati, Frascati (RM) Italy Falchieri, D INFN, Bologna Bologna U. Flammini, A INFN, Bologna Galante, L Enrico Fermi Ctr., Rome CERN CERN, Geneva Switzerland Galeotti, P Enrico Fermi Ctr., Rome CERN CERN, Geneva Switzerland Garbini, M Enrico Fermi Ctr., Rome INFN, Bologna Bologna U. INFN and Dipartimento di Fisica, Universita di Bologna, Bologna Italy Gemme, G Enrico Fermi Ctr., Rome INFN, Bologna Bologna U. INFN and Dipartimento di Fisica, Universita di Bologna, Bologna Italy Gnesi, I Enrico Fermi Ctr., Rome INFN, Cosenza Calabria U. “INFN and Dipartimento di Fisica, Universita della Calabria, Cosenza Italy Grazzi, S Enrico Fermi Ctr., Rome Hatzifotiadou, D Enrico Fermi Ctr., Rome INFN, Bologna Bologna U. World Lab., Geneva INFN and Dipartimento di Fisica, Universita di Bologna, Bologna Italy La Rocca, P Enrico Fermi Ctr., Rome INFN, Catania Catania U. INFN and Dipartimento di Fisica e Astronomia, Universita di Catania, Catania Italy Liu, Z Enrico Fermi Ctr., Rome World Lab., Geneva INFN, Catania Catania U. ICSC World laboratory, Geneva Switzerland Lombardo, L Polytech. Turin Mandaglio, G Enrico Fermi Ctr., Rome Messina U. Fisiche e Scienze della Terra, Universita di Messina, Messina Italy Maron, G INFN, Bologna Mazziotta, M N Enrico Fermi Ctr., Rome INFN, Bari INFN Sezione di Bari, Bari Italy Meneghin, S INFN, Bologna Bologna U. Mulliri, A INFN, Cagliari Cagliari U. Enrico Fermi Ctr., Rome INFN and Dipartimento di Fisica, Universita di Cagliari, Cagliari Italy Nania, R Enrico Fermi Ctr., Rome INFN, Bologna Bologna U. INFN and Dipartimento di Fisica, Universita di Bologna, Bologna Italy Noferini, F Enrico Fermi Ctr., Rome INFN, Bologna Bologna U. INFN and Dipartimento di Fisica, Universita di Bologna, Bologna Italy Nozzoli, F Enrico Fermi Ctr., Rome TIFPA-INFN, Trento ‘Trento Institute for Fundamental Physics and Applications, Trento Italy Palmonari, F Enrico Fermi Ctr., Rome INFN, Bologna Bologna U. INFN and Dipartimento di Fisica, Universita di Bologna, Bologna Italy Panareo, M Enrico Fermi Ctr., Rome INFN, Lecce Salento U. INFN and Dipartimento di Matematica e Fisica, Universita del Salento, Lecce Italy Panetta, M P Enrico Fermi Ctr., Rome INFN, Lecce Salento U. INFN and Dipartimento di Matematica e Fisica, Universita del Salento, Lecce Italy Paoletti, R Enrico Fermi Ctr., Rome INFN, Siena Siena U. INFN and Dipartimento di Fisica, Universita di Siena, Siena Italy Parvis, M Polytech. Turin Pellegrino, C Enrico Fermi Ctr., Rome INFN, Bologna Bologna U. INFN and Dipartimento di Fisica, Universita di Bologna, Bologna Italy Perasso, L Enrico Fermi Ctr., Rome INFN, Genoa Genoa U. INFN and Dipartimento di Fisica, Universita di Genová, Genová Italy Pinazza, O Enrico Fermi Ctr., Rome INFN, Bologna Bologna U. INFN and Dipartimento di Fisica, Universita di Bologna, Bologna Italy Pinto, C Enrico Fermi Ctr., Rome INFN, Catania Catania U. INFN and Dipartimento di Fisica e Astronomia, Universita di Catania, Catania Italy Pisano, S Enrico Fermi Ctr., Rome Frascati INFN, Laboratoři Nazionali di Frascati, Frascati (RM) Italy Riggi, F Enrico Fermi Ctr., Rome INFN, Catania Catania U. INFN and Dipartimento di Fisica e Astronomia, Universita di Catania, Catania Italy Righini, G Enrico Fermi Ctr., Rome Ripoli, C Enrico Fermi Ctr., Rome INFN, Salerno Salerno U. ‘iNFN and Dipartimento di Fisica, Universita di Salerno, Salerno Italy Rizzi, M Enrico Fermi Ctr., Rome INFN, Bari Bari U. INFN and Dipartimento Interateneo di Fisica, Universita di Bari, Bari Italy Sartorelli, G Enrico Fermi Ctr., Rome INFN, Bologna Bologna U. INFN and Dipartimento di Fisica, Universita di Bologna, Bologna Italy Scapparone, E Enrico Fermi Ctr., Rome INFN, Bologna Bologna U. INFN and Dipartimento di Fisica, Universita di Bologna, Bologna Italy Schioppa, M Enrico Fermi Ctr., Rome INFN, Cosenza Calabria U. “INFN and Dipartimento di Fisica, Universita della Calabria, Cosenza Italy Scioli, G INFN, Bologna Bologna U. INFN-CNAF, Bologna Italy Scribano, A Enrico Fermi Ctr., Rome INFN, Pisa Pisa U. INFN and Dipartimento di Fisica, Universita di Pisa, Pisa Italy Selvi, M Enrico Fermi Ctr., Rome INFN, Bologna Bologna U. INFN and Dipartimento di Fisica, Universita di Bologna, Bologna Italy Serri, G Enrico Fermi Ctr., Rome INFN, Cagliari Cagliari U. INFN and Dipartimento di Fisica, Universita di Cagliari, Cagliari Italy Squarcia, S Enrico Fermi Ctr., Rome INFN, Genoa Genoa U. INFN and Dipartimento di Fisica, Universita di Genová, Genová Italy Taiuti, M Enrico Fermi Ctr., Rome INFN, Genoa Genoa U. NFN and Dipartimento di Fisica, Universita di Genová, Genová Italy Terreni, G Enrico Fermi Ctr., Rome INFN, Pisa Pisa U. INFN and Dipartimento di Fisica, Universita di Pisa, Pisa Italy Torromeo, G INFN, Bologna Bologna U. Travaglini, R INFN, Bologna Bologna U. Trifirò, A Enrico Fermi Ctr., Rome Messina U. Fisiche e Scienze della Terra, Universita di Messina, Messina Italy Trimarchi, M Enrico Fermi Ctr., Rome Messina U. Fisiche e Scienze della Terra, Universita di Messina, Messina Italy Veri, C INFN, Bologna Bologna U. Vistoli, C INFN, Bologna Votano, L Enrico Fermi Ctr., Rome Gran Sasso INFN, Laboratoři Nazionali del Gran Sasso, Assergi (AQ) Italy Williams, M C S Enrico Fermi Ctr., Rome INFN, Bologna Bologna U. World Lab., Geneva INFN and Dipartimento di Fisica, Universita di Bologna, Bologna Italy Zichichi, A Enrico Fermi Ctr., Rome INFN, Bologna Bologna U. World Lab., Geneva INFN and Dipartimento di Fisica, Universita di Bologna, Bologna Italy Zuyeuski, R Enrico Fermi Ctr., Rome World Lab., Geneva ICSC World laboratory, Geneva Switzerland 1802260 012001 1 C19-09-11.2 2020 J. Phys.: Conf. Ser. 1561 2242581 3323667 http://cds.cern.ch/record/2727136/files/10.1088_1742-6596_1561_1_012001.pdf Fulltext 13 2688375 messina20190911 012001 ARTICLE ConferencePaper 2727049 SzGeCERN 20210421200533.0 9789811303814 electronic version electronic version print version 9789811303807 DOI 10.1007/978-981-13-0381-4 ebook oai:cds.cern.ch:2727049 cerncds:BOOK eng T50 530.8 23 Precision machines Singapore Springer 2020 ebook Precision manufacturing 2522-5464 Introduction -- Structure design of precision machines -- Design of tools and grinding wheels -- Design of precision spindles -- Design of precision linear drives -- Design of precision rotary drives -- Manufacture and assembly technology of precision machines -- Manufacture by precision lathes and turning centers -- Manufacture by precision milling machines -- Manufacture by precision grinding machines -- Manufacture by precision lapping and polishing machines -- Performance characterization of precision machines -- Control systems for precision machines -- Measurement technology for precision machines.-Environmental control and compensation for precision machines. In this book, the design, manufacture and control technology of precision machines are introduced to achieve the concrete requirements for precision engineering. The state-of-the-art of precision machining method and equipment including precision turning, milling, grinding and lapping/polishing are discussed. The key components of precision machines are introduced as well, such as precision spindles, control systems, tools and grinding wheels etc. In the design part, the methods for the design and simulation of the general structure of precision machines as well as the key components are described in details. In the manufacture part, the fabrication and assembly technologies for different types of precision machines are introduced. In the control part, the control system, measurement and compensation technology for precision machines are discussed. The information provided in the book will be of interest to industrial practitioners and researchers in the field of precision machines. This book is part of a handbook series that covers a comprehensive range of scientific and technological matters in ‘Precision Manufacturing’. Physics and astronomy Reference module physical and materials science SPR202008 SzGeCERN Engineering SPR Physical measurements SPR Measurement    SPR Manufactures SPR Measurement Science and Instrumentation SPR Manufacturing, Machines, Tools, Processes BOOK Jiang, Zhuangde ed. Yang, Shuming ed. SPR n 202032 202008 21 PUBLIC https://catalogue.library.cern/legacy/2727049 BOOK MIGRATED 2727040 SzGeCERN 20210421200534.0 9783030487218 electronic version electronic version print version 9783030487201 print version 9783030487225 print version 9783030487232 DOI 10.1007/978-3-030-48721-8 ebook oai:cds.cern.ch:2727040 cerncds:BOOK eng QA71-90 518 23 Quantification of uncertainty improving efficiency and technology quiet selected contributions Cham Springer 2020 ebook Lecture notes in computational science and engineering 1439-7358 137 1. Adeli, E. et al., Effect of Load Path on Parameter Identification for Plasticity Models using Bayesian Methods -- 2. Brugiapaglia S., A compressive spectral collocation method for the diffusion equation under the restricted isometry property -- 3. D’Elia, M. et al., Surrogate-based Ensemble Grouping Strategies for Embedded Sampling-based Uncertainty Quantification -- 4. Afkham, B.M. et al., Conservative Model Order Reduction for Fluid Flow -- 5. Clark C.L. and Winter C.L., A Semi-Markov Model of Mass Transport through Highly Heterogeneous Conductivity Fields -- 6. Matthies, H.G., Analysis of Probabilistic and Parametric Reduced Order Models -- 7. Carraturo, M. et al., Reduced Order Isogeometric Analysis Approach for PDEs in Parametrized Domains -- 8. Boccadifuoco, A. et al., Uncertainty quantification applied to hemodynamic simulations of thoracic aorta aneurysms: sensitivity to inlet conditions -- 9. Anderlini, A.et al., Cavitation model parameter calibration for simulations of three-phase injector flows -- 10. Hijazi, S. et al., Non-Intrusive Polynomial Chaos Method Applied to Full-Order and Reduced Problems in Computational Fluid Dynamics: a Comparison and Perspectives -- 11. Bulté, M. et al., A practical example for the non-linear Bayesian filtering of model parameters. This book explores four guiding themes – reduced order modelling, high dimensional problems, efficient algorithms, and applications – by reviewing recent algorithmic and mathematical advances and the development of new research directions for uncertainty quantification in the context of partial differential equations with random inputs. Highlighting the most promising approaches for (near-) future improvements in the way uncertainty quantification problems in the partial differential equation setting are solved, and gathering contributions by leading international experts, the book’s content will impact the scientific, engineering, financial, economic, environmental, social, and commercial sectors. Mathematics and statistics SPR202008 SzGeCERN Mathematical Physics and Mathematics BOOK D'Elia, Marta ed. Gunzburger, Max ed. Rozza, Gianluigi ed. SPR n 202032 202008 21 PUBLIC https://catalogue.library.cern/legacy/2727040 BOOK MIGRATED 2727018 SzGeCERN 20210421200536.0 9783030289065 electronic version electronic version print version 9783030289058 print version 9783030289072 DOI 10.1007/978-3-030-28906-5 ebook oai:cds.cern.ch:2727018 cerncds:BOOK eng QC801-809 550 23 Atmospheric rivers Cham Springer 2020 ebook Chapter1: Introduction -- Chapter2: Structure, Process and Mechanism -- Chapter3: Observing and Detecting ARs -- Chapter4: Global and Regional Perspectives -- Chapter5: Effects of Atmospheric Rivers -- Chapter6: AR Modeling: Forecasts, Climate Simulations, and Climate Projections -- Chapter7: Applications -- Chapter8: The Future of AR Research and Applications. This book is the standard reference based on roughly 20 years of research on atmospheric rivers, emphasizing progress made on key research and applications questions and remaining knowledge gaps. The book presents the history of atmospheric-rivers research, the current state of scientific knowledge, tools, and policy-relevant (science-informed) problems that lend themselves to real-world application of the research—and how the topic fits into larger national and global contexts. This book is written by a global team of authors who have conducted and published the majority of critical research on atmospheric rivers over the past years. The book is intended to benefit practitioners in the fields of meteorology, hydrology and related disciplines, including students as well as senior researchers. Physics and astronomy SPR202008 SzGeCERN Other Fields of Physics SPR Geophysics SPR Atmospheric sciences SPR Hydrology SPR Climate change SPR Meteorology SPR Geophysics and Environmental Physics SPR Atmospheric Sciences SPR HydrologyWater Resources SPR Climate ChangeClimate Change Impacts SPR Climate Change BOOK Ralph, F ed. Dettinger, Michael ed. Rutz, Jonathan ed. Waliser, Duane ed. SPR n 202032 202008 21 PUBLIC https://catalogue.library.cern/legacy/2727018 BOOK MIGRATED 2726770 SzGeCERN 20210421200601.0 9781466594852 1466594845 9781466594845 oai:cds.cern.ch:2726770 cerncds:BOOK SAFARI 9781466594845 9781466594845 eng Bakirdere, Sezgin Speciation Studies in Soil, Sediment and Environmental Samples 1st ed. [S.l.] CRC Press 2013 mult. p ebook SAF202007 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9781466594845/?ar ebook n 202031 21 PUBLIC https://catalogue.library.cern/legacy/2726770 BOOK MIGRATED 2726769 SzGeCERN 20210421200602.0 9781482237047 9781482237030 1482237032 0429162944 9780429162947 oai:cds.cern.ch:2726769 cerncds:BOOK SAFARI 9781482237047 9781482237047 eng Shaddick, Gavin Spatio-Temporal Methods in Environmental Epidemiology 1st ed. [S.l.] Chapman and Hall/CRC 2015 mult. p ebook SAF202007 SzGeCERN XX BOOK Zidek, James https://learning.oreilly.com/library/view/-/9781482237047/?ar ebook n 202031 21 PUBLIC https://catalogue.library.cern/legacy/2726769 BOOK MIGRATED 2726249 SzGeCERN 20210421200659.0 9781482203684 9781482203677 1482203677 0429255519 9780429255519 oai:cds.cern.ch:2726249 cerncds:BOOK SAFARI 9781482203684 9781482203684 eng McGuire, Chad Environmental Law from the Policy Perspective 1st ed. [S.l.] Routledge 2014 mult. p ebook SAF202007 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9781482203684/?ar ebook n 202031 21 PUBLIC https://catalogue.library.cern/legacy/2726249 BOOK MIGRATED 2726248 SzGeCERN 20210421200700.0 9781466559004 9781926895208 1926895207 oai:cds.cern.ch:2726248 cerncds:BOOK SAFARI 9781926895208 9781926895208 eng Myatt, Theodore Environmental Health 1st ed. [S.l.] Apple Academic Press 2016 mult. p ebook SAF202007 SzGeCERN XX BOOK Allen, Joseph https://learning.oreilly.com/library/view/-/9781926895208/?ar ebook n 202031 21 PUBLIC https://catalogue.library.cern/legacy/2726248 BOOK MIGRATED 2726247 SzGeCERN 20210421200700.0 9781466584211 1466584203 9781466584204 oai:cds.cern.ch:2726247 cerncds:BOOK SAFARI 9781466584204 9781466584204 eng Taback, Hal Environmental Ethics and Sustainability 1st ed. [S.l.] CRC Press 2013 mult. p ebook SAF202007 SzGeCERN XX BOOK Ramanan, Ram https://learning.oreilly.com/library/view/-/9781466584204/?ar ebook n 202031 21 PUBLIC https://catalogue.library.cern/legacy/2726247 BOOK MIGRATED 2726246 SzGeCERN 20210421200700.0 9781351568081 1439885753 9781439885758 1315094436 9781315094434 oai:cds.cern.ch:2726246 cerncds:BOOK SAFARI 9781439885758 9781439885758 eng McGuire, Chad Environmental Decision-Making in Context 1st ed. [S.l.] Routledge 2017 mult. p ebook SAF202007 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9781439885758/?ar ebook n 202031 21 PUBLIC https://catalogue.library.cern/legacy/2726246 BOOK MIGRATED 2726173 SzGeCERN 20210421200708.0 9781466592216 9781439885017 9781466565715 1439887322 1466565713 9781439887325 143988501X oai:cds.cern.ch:2726173 cerncds:BOOK SAFARI 9781439885017 9781439885017 eng Acevedo, Miguel Data Analysis and Statistics for Geography, Environmental Science, and Engineering 1st ed. [S.l.] CRC Press 2012 mult. p ebook SAF202007 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9781439885017/?ar ebook n 202031 21 PUBLIC https://catalogue.library.cern/legacy/2726173 BOOK MIGRATED 2725883 SzGeCERN 20200804235045.0 DOI Springer 10.1038/s41586-020-2270-4 oai:inspirehep.net:1798118 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN ForCDS http://old.inspirehep.net/oai2d 2020-08-04T04:00:09Z marcxml oai:inspirehep.net:1798118 2020-08-03T17:33:45Z Inspire 1798118 eng Wang, Mingyi ORCID:0000-0001-5782-2513 GRID:grid.147455.6 GRID:grid.147455.6 Carnegie Mellon U. Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, USA Springer Rapid growth of new atmospheric particles by nitric acid and ammonia condensation 2020 20 p Springer Measurements in the CLOUD chamber at CERN show that the rapid condensation of ammonia and nitric acid vapours could be important for the formation and survival of new particles in wintertime urban conditions, contributing to urban smog. CC-BY-4.0 Springer https://creativecommons.org/licenses/by/4.0/ CERN Kong, Weimeng ORCID:0000-0002-9432-2857 GRID:grid.20861.3d Caltech Marten, Ruby GRID:grid.5991.4 PSI, Villigen He, Xu-Cheng ORCID:0000-0002-7416-306X GRID:grid.7737.4 Helsinki U. Chen, Dexian ORCID:0000-0001-6963-5205 GRID:grid.147455.6 GRID:grid.147455.6 Carnegie Mellon U. Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA Pfeifer, Joschka GRID:grid.9132.9 CERN Heitto, Arto GRID:grid.9668.1 Kuopio U. Kontkanen, Jenni GRID:grid.7737.4 Helsinki U. Dada, Lubna ORCID:0000-0003-1105-9043 GRID:grid.7737.4 Helsinki U. Kürten, Andreas GRID:grid.7839.5 Goethe U., Frankfurt (main) Yli-Juuti, Taina GRID:grid.9668.1 Kuopio U. Manninen, Hanna E GRID:grid.9132.9 CERN Amanatidis, Stavros GRID:grid.20861.3d Caltech Amorim, António GRID:grid.9983.b Lisbon U. Baalbaki, Rima ORCID:0000-0002-4480-2107 GRID:grid.7737.4 Helsinki U. Baccarini, Andrea ORCID:0000-0003-4614-247X GRID:grid.5991.4 PSI, Villigen Bell, David M GRID:grid.5991.4 PSI, Villigen Bertozzi, Barbara GRID:grid.7892.4 KIT, Karlsruhe Bräkling, Steffen GRID:grid.426248.e Unlisted, CH Brilke, Sophia GRID:grid.10420.37 Vienna U. Murillo, Lucía Caudillo GRID:grid.7839.5 Goethe U., Frankfurt (main) Chiu, Randall GRID:grid.266190.a U. Colorado, Boulder Chu, Biwu GRID:grid.7737.4 Helsinki U. De Menezes, Louis-Philippe GRID:grid.9132.9 CERN Duplissy, Jonathan ORCID:0000-0001-8819-0264 GRID:grid.7737.4 GRID:grid.7737.4 Helsinki U. Helsinki Institute of Physics, University of Helsinki, Helsinki, Finland Finkenzeller, Henning GRID:grid.266190.a U. Colorado, Boulder Carracedo, Loic Gonzalez GRID:grid.10420.37 Vienna U. Granzin, Manuel GRID:grid.7839.5 Goethe U., Frankfurt (main) Guida, Roberto GRID:grid.9132.9 CERN Hansel, Armin ORCID:0000-0002-1062-2394 GRID:grid.5771.4 GRID:grid.425275.3 Innsbruck U. Ionicon Analytik, Innsbruck, Austria Hofbauer, Victoria GRID:grid.147455.6 GRID:grid.147455.6 Carnegie Mellon U. Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, USA Krechmer, Jordan GRID:grid.276808.3 Aerodyne Research, Billerica Lehtipalo, Katrianne GRID:grid.7737.4 GRID:grid.8657.c Helsinki U. Finnish Meteorological Inst. Finnish Meteorological Institute, Helsinki, Finland Lamkaddam, Houssni GRID:grid.5991.4 PSI, Villigen Lampimäki, Markus ORCID:0000-0003-1990-6155 GRID:grid.7737.4 Helsinki U. Lee, Chuan Ping ORCID:0000-0003-0051-8179 GRID:grid.5991.4 PSI, Villigen Makhmutov, Vladimir GRID:grid.425806.d Lebedev Inst. Marie, Guillaume GRID:grid.7839.5 Goethe U., Frankfurt (main) Mathot, Serge GRID:grid.9132.9 CERN Mauldin, Roy L GRID:grid.147455.6 GRID:grid.147455.6 GRID:grid.266190.a Carnegie Mellon U. U. Colorado, Boulder Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, USA Mentler, Bernhard GRID:grid.5771.4 Innsbruck U. Müller, Tatjana GRID:grid.7839.5 Goethe U., Frankfurt (main) Onnela, Antti GRID:grid.9132.9 CERN Partoll, Eva GRID:grid.5771.4 Innsbruck U. Petäjä, Tuukka ORCID:0000-0002-1881-9044 GRID:grid.7737.4 Helsinki U. Philippov, Maxim ORCID:0000-0003-4302-0020 GRID:grid.425806.d Lebedev Inst. Pospisilova, Veronika GRID:grid.5991.4 PSI, Villigen Ranjithkumar, Ananth GRID:grid.9909.9 Leeds U. Rissanen, Matti ORCID:0000-0003-0463-8098 GRID:grid.7737.4 GRID:grid.502801.e Helsinki U. Tampere U. of Tech. Aerosol Physics Laboratory, Physics Unit, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland Rörup, Birte GRID:grid.7737.4 Helsinki U. Scholz, Wiebke GRID:grid.5771.4 GRID:grid.425275.3 Innsbruck U. Ionicon Analytik, Innsbruck, Austria Shen, Jiali GRID:grid.7737.4 Helsinki U. Simon, Mario GRID:grid.7839.5 Goethe U., Frankfurt (main) Sipilä, Mikko GRID:grid.7737.4 Helsinki U. Steiner, Gerhard ORCID:0000-0003-3008-1414 GRID:grid.5771.4 GRID:grid.434790.d Innsbruck U. Grimm Aerosol Technik Ainring, Ainring, Germany Stolzenburg, Dominik ORCID:0000-0003-1014-1360 GRID:grid.7737.4 GRID:grid.10420.37 Helsinki U. Vienna U. Faculty of Physics, University of Vienna, Vienna, Austria Tham, Yee Jun GRID:grid.7737.4 Helsinki U. Tomé, António GRID:grid.7427.6 UBI, Covilha Wagner, Andrea C GRID:grid.7839.5 GRID:grid.266190.a Goethe U., Frankfurt (main) U. Colorado, Boulder Department of Chemistry and CIRES, University of Colorado at Boulder, Boulder, CO, USA Wang, Dongyu S GRID:grid.5991.4 PSI, Villigen Wang, Yonghong ORCID:0000-0003-2498-9143 GRID:grid.7737.4 Helsinki U. Weber, Stefan K GRID:grid.9132.9 CERN Winkler, Paul M GRID:grid.10420.37 Vienna U. Wlasits, Peter J GRID:grid.10420.37 Vienna U. Wu, Yusheng GRID:grid.7737.4 Helsinki U. Xiao, Mao GRID:grid.5991.4 PSI, Villigen Ye, Qing GRID:grid.147455.6 GRID:grid.147455.6 GRID:grid.147455.6 Carnegie Mellon U. Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, USA Zauner-Wieczorek, Marcel ORCID:0000-0002-0867-665X GRID:grid.7839.5 Goethe U., Frankfurt (main) Zhou, Xueqin GRID:grid.5991.4 PSI, Villigen Volkamer, Rainer ORCID:0000-0002-0899-1369 GRID:grid.266190.a U. Colorado, Boulder Riipinen, Ilona GRID:grid.10548.38 Stockholm U. Dommen, Josef ORCID:0000-0002-0006-0009 GRID:grid.5991.4 PSI, Villigen Curtius, Joachim ORCID:0000-0003-3153-4630 GRID:grid.7839.5 Goethe U., Frankfurt (main) Baltensperger, Urs GRID:grid.5991.4 PSI, Villigen Kulmala, Markku GRID:grid.7737.4 GRID:grid.7737.4 GRID:grid.41156.37 GRID:grid.48166.3d Helsinki U. Nanjing U. Beijing U. of Chem. Tech. Helsinki Institute of Physics, University of Helsinki, Helsinki, Finland Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China Worsnop, Douglas R GRID:grid.7737.4 GRID:grid.276808.3 Helsinki U. Aerodyne Research, Billerica Aerodyne Research, Billerica, MA, USA Kirkby, Jasper ORCID:0000-0003-2341-9069 GRID:grid.9132.9 GRID:grid.7839.5 CERN Goethe U., Frankfurt (main) Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt am Main, Germany Seinfeld, John H ORCID:0000-0003-1344-4068 GRID:grid.20861.3d Caltech El-Haddad, Imad GRID:grid.5991.4 PSI, Villigen Flagan, Richard C ORCID:0000-0001-5690-770X GRID:grid.20861.3d Caltech Donahue, Neil M ORCID:0000-0003-3054-2364 GRID:grid.147455.6 GRID:grid.147455.6 GRID:grid.147455.6 GRID:grid.147455.6 Carnegie Mellon U. Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA 184-189 7807 2020 Nature 581 2242234 2771673 http://cds.cern.ch/record/2725883/files/10.1038_s41586-020-2270-4.pdf Fulltext from Publisher 13 ARTICLE 2737239 20211125160724.0 31 PROGRESS REPORT French version CERN. Rapport sur l'environnement 2707167 language 2017/2018 - current Internet https://e-publishing.cern.ch/index.php/CERN_Environment_Report/index 6 Electronic version 2250239 6837443 http://cds.cern.ch/record/2737239/files/102-101-PB.pdf 2017/2018 2250239 69534 http://cds.cern.ch/record/2737239/files/102-101-PB.jpg?subformat=icon-700 icon-700 2017/2018 2250239 8126 http://cds.cern.ch/record/2737239/files/102-101-PB.gif?subformat=icon icon 2017/2018 2250239 9148 http://cds.cern.ch/record/2737239/files/102-101-PB.jpg?subformat=icon-180 icon-180 2017/2018 2339448 23925444 http://cds.cern.ch/record/2737239/files/141-134-PB.pdf 2019/2020 2339448 10085 http://cds.cern.ch/record/2737239/files/141-134-PB.gif?subformat=icon icon 2019/2020 2339448 168192 http://cds.cern.ch/record/2737239/files/141-134-PB.jpg?subformat=icon-700 icon-700 2019/2020 2339448 49171 http://cds.cern.ch/record/2737239/files/141-134-PB.jpg?subformat=icon-180 icon-180 2019/2020 2017/2018 - DE2 current 1 PERI biannual oai:cds.cern.ch:2707167 cerncds:FULLTEXT Online ILSLINK 9789290835523 9789290835530 SzGeCERN Other Subjects PERI CERN Geneva CERN CERN’s Environment Report outlines the Organization’s commitment to becoming a role model for environmentally responsible research and sets out concrete objectives for environmental stewardship. ch CERN. Environment Report CERN. Environment Report eng 2734898 SzGeCERN 20210421195901.0 132685914 132686201 9780132685917 9780132686204 oai:cds.cern.ch:2734898 cerncds:BOOK SAFARI 9780132686204 9780132686204 eng Seethaler, Sherry Insights on Environmental Effects [S.l.] Pearson 2010 mult. p ebook SAF202009 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9780132686204/?ar ebook n 202039 21 PUBLIC https://catalogue.library.cern/legacy/2734898 BOOK MIGRATED 2734590 SzGeCERN 20210421195931.0 9788131771631 9789332515796 oai:cds.cern.ch:2734590 cerncds:BOOK SAFARI 9788131771631 9788131771631 eng Pachauri, Suresh Environmental Education [S.l.] Pearson India 2012 mult. p ebook SAF202009 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9788131771631/?ar ebook n 202039 21 PUBLIC https://catalogue.library.cern/legacy/2734590 BOOK MIGRATED 2734405 SzGeCERN 20210421195949.0 9789389588040 oai:cds.cern.ch:2734405 cerncds:BOOK SAFARI 9789389588040 9789389588040 eng Thomas, Jacob Environmental Management [S.l.] Pearson Education India 2014 mult. p ebook SAF202009 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9789389588040/?ar ebook n 202039 21 PUBLIC https://catalogue.library.cern/legacy/2734405 BOOK MIGRATED 2733799 SzGeCERN 20210421200038.0 1138832227 203808975 415783003 9780203808979 9780415783002 9781136672279 9781138832220 oai:cds.cern.ch:2733799 cerncds:BOOK SAFARI 9780415783002 9780415783002 eng Sowers, Jeannie Environmental Politics in Egypt [S.l.] Routledge 2013 mult. p ebook SAF202009 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9780415783002/?ar ebook n 202039 21 PUBLIC https://catalogue.library.cern/legacy/2733799 BOOK MIGRATED 2733777 SzGeCERN 20210421200040.0 9780415666558 9781136488658 oai:cds.cern.ch:2733777 cerncds:BOOK SAFARI 9780415666558 9780415666558 eng Mukherjee, Sacchidananda Environmental Scenario in India [S.l.] Routledge 2013 mult. p ebook SAF202009 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9780415666558/?ar ebook n 202039 21 PUBLIC https://catalogue.library.cern/legacy/2733777 BOOK MIGRATED 2733756 SzGeCERN 20210421200042.0 203803833 415601738 415601746 9780203803837 9780415601733 9780415601740 9781136636264 oai:cds.cern.ch:2733756 cerncds:BOOK SAFARI 9780415601740 9780415601740 eng Greenberg, Michael The Environmental Impact Statement After Two Generations [S.l.] Routledge 2013 mult. p ebook SAF202009 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9780415601740/?ar ebook n 202039 21 PUBLIC https://catalogue.library.cern/legacy/2733756 BOOK MIGRATED 2733596 SzGeCERN 20210421200100.0 1933115025 1933115033 1936331195 9781136526824 9781933115023 9781933115030 9781936331192 oai:cds.cern.ch:2733596 cerncds:BOOK SAFARI 9781933115030 9781933115030 eng Hay, Bruce Environmental Protection and the Social Responsibility of Firms [S.l.] Routledge 2010 mult. p ebook SAF202009 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9781933115030/?ar ebook n 202039 21 PUBLIC https://catalogue.library.cern/legacy/2733596 BOOK MIGRATED 2733593 SzGeCERN 20210421200100.0 1891853805 1891853821 1936331187 9781136526893 9781891853807 9781891853821 9781936331185 oai:cds.cern.ch:2733593 cerncds:BOOK SAFARI 9781891853807 9781891853807 eng Koontz, Tomas Collaborative Environmental Management [S.l.] Routledge 2010 mult. p ebook SAF202009 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9781891853807/?ar ebook n 202039 21 PUBLIC https://catalogue.library.cern/legacy/2733593 BOOK MIGRATED 2732716 SzGeCERN 20210421200211.0 470949732 9780470949733 oai:cds.cern.ch:2732716 cerncds:BOOK SAFARI 9780470949733 9780470949733 eng Sandor, Richard Good Derivatives A Story of Financial and Environmental Innovation [S.l.] Wiley 2012 mult. p ebook SAF202009 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9780470949733/?ar ebook n 202039 21 PUBLIC https://catalogue.library.cern/legacy/2732716 BOOK MIGRATED 2732435 SzGeCERN 20210421200241.0 9783527342945 9783527808861 oai:cds.cern.ch:2732435 cerncds:BOOK SAFARI 9783527342945 9783527342945 eng Hussain, Chaudhery Nanotechnology in Environmental Science [S.l.] Wiley-VCH 2018 mult. p ebook SAF202009 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9783527342945/?ar ebook n 202039 21 PUBLIC https://catalogue.library.cern/legacy/2732435 BOOK MIGRATED 2732147 SzGeCERN 20210421200313.0 1138636606 1315205890 367253828 9780367253820 9781138636606 9781315205892 9781351795388 oai:cds.cern.ch:2732147 cerncds:BOOK SAFARI 9781351795388 9781351795388 eng Redekop, Benjamin Innovation in Environmental Leadership [S.l.] Routledge 2018 mult. p ebook SAF202009 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9781351795388/?ar ebook n 202039 21 PUBLIC https://catalogue.library.cern/legacy/2732147 BOOK MIGRATED 2731884 SzGeCERN 20210421200323.0 1845695526 9780857090225 9781845695521 oai:cds.cern.ch:2731884 cerncds:BOOK SAFARI 9781845695521 9781845695521 eng Sonesson, U Environmental Assessment and Management in the Food Industry [S.l.] Woodhead Publishing 2010 mult. p ebook SAF202009 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9781845695521/?ar ebook n 202039 21 PUBLIC https://catalogue.library.cern/legacy/2731884 BOOK MIGRATED 2731780 SzGeCERN 20210421200335.0 9781119336099 9781119336112 oai:cds.cern.ch:2731780 cerncds:BOOK SAFARI 9781119336099 9781119336099 eng Jacobs, James Environmental Considerations Associated with Hydraulic Fracturing Operations [S.l.] Wiley 2019 mult. p ebook SAF202009 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9781119336099/?ar ebook n 202039 21 PUBLIC https://catalogue.library.cern/legacy/2731780 BOOK MIGRATED 2731647 SzGeCERN 20210421200350.0 9781118712948 9781119304432 oai:cds.cern.ch:2731647 cerncds:BOOK SAFARI 9781118712948 9781118712948 eng Kutz, Myer Handbook of Environmental Engineering [S.l.] Wiley 2018 mult. p ebook SAF202009 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9781118712948/?ar ebook n 202039 21 PUBLIC https://catalogue.library.cern/legacy/2731647 BOOK MIGRATED 2731026 SzGeCERN 20210421200457.0 9781782421047 9781782421122 oai:cds.cern.ch:2731026 cerncds:BOOK SAFARI 9781782421047 9781782421047 eng Science, Elsevier Assessing the Environmental Impact of Textiles and the Clothing Supply Chain [S.l.] Woodhead Publishing 2014 mult. p ebook SAF202009 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9781782421047/?ar ebook n 202039 21 PUBLIC https://catalogue.library.cern/legacy/2731026 BOOK MIGRATED 2730964 SzGeCERN 20200922015641.0 CERN 13 2730951 1-4 athens20180910 4 p ARTICLE ConferencePaper Ferrero Colomo, A CERN Gonos, I Natl. Tech. U., Athens Kramer, T CERN Stadlbauer, T CERN IEEE Evaluation, Optimization and Test of a Standard Air Dielectric Coaxial Cable Filled with Oil for Possible Use in HV Kicker Systems at CERN DOI IEEE 10.1109/ICHVE.2018.8642070 oai:cds.cern.ch:2730964 cerncds:CERN IEEE 2018 IEEE Particular kicker systems at CERN use specialized SF6 (Sulphur hexafluoride) gas filled coaxial high voltage cables. Due to discontinued production, economic non-viability and possible environmental impacts, solutions for the replacement of these cables are being investigated. This paper summarizes a study for substituting the air-dielectric of a standard coaxial cable [1] with electrical insulating oil. The upgraded cable is expected to reach a higher peak voltage whilst having also less partial discharges. The setup of the equipment is outlined as well as the construction of the optimized designs of the cable. FEM- simulations have been performed to evaluate the performance and behaviour of the test subjects and are described together with different tests and measurements thoroughly executed in the laboratory, taking budget, efficiency and accuracy into consideration. The theoretical predictions (analytic and simulation) are compared to the measurement results. The evaluated and analyzed results are discussed together with the encountered difficulties. An outlook is given on the feasibility of oil-filled cables as replacement for SF6 gas pressurized cables and the foreseen future developments. SzGeCERN Detectors and Experimental Techniques Kontelis, D Natl. Tech. U., Athens eng 2729727 20250515232125.0 oai:cds.cern.ch:2729727 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN CERN-THESIS-2019-387 eng Di Castro, Mario Madrid, Polytechnic U. A Novel Robotic Framework for Safe Inspection and Telemanipulation in Hazardous and Unstructured Environments 304 p Presented 27 Sep 2019 PhD Madrid, Polytechnic U. 2019 Intelligent robotic systems are becoming essential for space applications, industries, nuclear plants and for harsh environments in general, such as the European Organization for Nuclear Research (CERN) particles accelerator complex and experiments. Robotics technology has huge potential benefits for people and its ultimate scope depends on the way this technology is used. In order to increase safety and machine availability, robots can perform repetitive, unplanned and dangerous tasks, which humans either prefer to avoid or are unable to carry out due to hazards, size constraints, or the extreme environments in which they take place. Nowadays, mechatronic systems use mature technologies that allow their robust and safe use, even in collaboration with human workers. Over the past years, the progress of robots has been based on the development of smart sensors, artificial intelligence and modular mechanical systems. Due to the multiple challenges that hazardous and unstructured environments have for the application of autonomous industrial systems, there is still a high demand for intelligent and teleoperation systems that give the control of a robot (slave) to a human operator via haptic input devices (master), as well as using human-supervised telerobotic control techniques. Modern techniques like simulation and virtual reality systems can facilitate the preparation of ad-hoc mechatronic tools and robotic intervention including recovery scenarios and failure mode analysis. The basic contribution of this thesis is the development of a novel robotic framework for autonomous inspections and supervised teleoperations in harsh environments. The proposed framework covers all aspects of a robotic intervention, from the specification and operator training, the choice of the robot and its material in accordance with possible radiological contamination risks, to the realization of the intervention, including procedures and recovery scenarios. In a second set of contributions, new methods for mutirobots maintenance operations are developed, including intervention preparation and best practices for remote handling and advanced tools. The third set of contributions is built on a novel multimodal user-friendly human-robot interface that allows operator training using virtual reality systems and technicians not expert in robot operation to perform inspection/maintenance tasks. In this thesis, we exploit a robotic system able to navigate autonomously and to inspect unknown environments in a safe way. A new real-time control system has been implemented in order to guarantee a fast response to environmental changes and adaptation to different type of scenarios the robot may find in a semi-structured and hazardous environment. The proposed new robotic control system has been integrated on different robots, tested and validated with several robotic interventions in the CERN hazardous particle accelerator complex. CERN EDS SzGeCERN Engineering CERN THESIS Not applicable Not applicable Ferre Perez, Manuel dir. Madrid, Polytechnic U. Masi, Alessandro dir. CERN EN 2246680 144908088 http://cds.cern.ch/record/2729727/files/CERN-THESIS-2019-387.pdf mario.di.castro@cern.ch n 202036 a2020 14 PUBLIC https://repository.cern/legacy/record/2729727 THESIS MIGRATED 2729592 SzGeCERN 20210421200504.0 9783035730296 electronic version electronic version 9783035710298 electronic version 9783035710298 print version oai:cds.cern.ch:2729592 cerncds:BOOK EBL 4865600 eng QC481.C877 2017 539.72220000000004 Ahmad, Zainal Arifin Current material research using X-rays and related techniques II Zurich Trans Tech Publications 2017 549 p ebook Materials science forum 888 Intro -- Current Material Research Using X-Rays and Related Techniques II -- Preface, Organizing Committee, Sponsors -- Table of Contents -- Chapter 1: Traditional and Functional Ceramics -- Characterization of 3 mol% Fe from Different Source Doped 8YSZ Ceramics -- Dielectric Properties of Al2O3/CaCu3Ti4O12 Composite at High Frequency Range -- Dielectric Properties of CaCu3Ti4O12/Al2O3 Composites -- Effect of Alteration Ratios of Magnesia and Alumina in Non-Stoichiometric Cordierite Composition Formulations (2.(8-n)MgO.1.(5+n)Al2O3.5SiO2) on Phase Transformation and Crystallization -- Effect of Calcination Temperature on the Breakdown Strength and Energy Density of CaCu3Ti4O12 Ceramic -- Effect of Dispersant Addition on Properties of Ceramic Pieces from Kampung Dengir, Besut, Terengganu, Malaysia -- Effect of Dispersant Amount to Fabrication of 3-D Porous Cordierite through Gelcasting Method -- Effect of Firing Temperature on Mechanical and Physical Properties of Porcelain Balls as Grinding Media -- Effect of Sintering Temperature on Structure and Dielectric Properties of Lead Free K0.5Na0.5NbO3 Prepared via Hot Isostatic Pressing -- Effects of Milling Speed and Calcination Temperature on the Phase Stability of Ba0.5Sr0.5Co0.8Fe3-δ -- Effects of TiN Single Layer Coating on the Wear of ZTA Cutting Inserts and Surface Roughness of Workpiece -- Elemental, Thermal, and Structural Characterization of ZnO Doped 8 mol% Yttria-Stabilized Zirconia (8YSZ) Ceramics -- Fabrication of Lanthanum and Strontium Doped PZT Ceramics Using Solid State Reaction Method -- Impact of Sintering Temperatures on Microstructure, Porosity and Mechanical Strength of Refractory Brick -- Effects of Soda Lime Silicate Content on Industrial Stoneware Bodies Prepared by Pressing Method -- Investigation of YIG's Active Site Using Density Functional Theory. Production of Mullite Ceramic Bodies from Kaolin Processing Waste and Aluminum Hydroxide -- Sol-Gel Synthesis of Niobium Doped Yttria Stabilised Zirconia -- Structural Properties of Pb(Zr0.52Ti0.38Li0.1)O3 Prepared via High Planetary Mill -- Synthesis and Characterization of Pb(Zr0.52Ti0.48)O3 Properties via High Planetary Mill -- Synthesis and Characterization of Zirconia-Alumina Ceramics Doped Niobium Oxide -- Tetragonal and Monoclinic Phase Transformation of ZTA-MgO Ceramic Cutting Tool by Machining Process -- The Bending Strength of the Porcelain with the Substitution of Quartz by Palm Oil Fuel Ash -- The Dielectric Properties of CaCu3Ti4O12 at Various Calcination Temperatures -- The Effect of Different Silica Compositions to the Properties of Silica Foam Fabricated Using Slurry Method -- The Role of Nb2Zr6O17 Phase on the Hardness and Fracture Toughness of ZTA/Nb2O5 by Cold Isostatic Pressing -- Two-Body Dry Abrasive Wear Performance of High Velocity Oxygen Fuel Spray Process and Electrodeposited Cermet Coatings -- Delamination of Kaolinite by Intercalation of Urea Using Milling -- Characterizations of Pergau River Clay as Comparison to Mambong and Sayong -- Effect of Na2O and K2O on the Solubility and Chemical Properties of P2O5-CaO-Na2O-K2O-Al2O3 Glass -- Synthesis and Characterization of Cobalt Doped with Yttria-Stabilized Zirconia Electrolytes -- The Effect of Flux to Physical and Chemical Properties of Ceramic Body Using Ball Clay from Kampung Dengir, Besut, Terengganu -- Diversification Studies on Samarium Strontium Cobaltite Regarding Thermal & Structural Properties as Based Composite Cathode of SOFC -- Rietveld Refinement Strategy of CaTa4-xNbxO11 Solid Solutions Using GSAS-EXPGUI Software Package -- Chapter 2: Composite Materials and Polymers. Characterization of Silica Gel Impregnated with Tetradecylamine by X-Ray Diffractometry and Brunauer-Emmet-Teller Studies -- Effect of Boron Carbide Content on Properties of Thermoplastic Natural Rubber Composite as Thermal Neutron Shielding -- Effect of Curing Time and Sintering to the Properties of Geopolymer Mortars -- Effect of Kenaf Fiber on Morphology and Mechanical Properties of Rigid Polyurethane Foam Composite -- Flexural and Morphology Properties of Kenaf Fibre Reinforcement Unsaturated Polymer Composite -- Influences of NBR/Al2O3/YSZ as Fillers for PMMA Composite on the Thermal Properties -- Mechanical Properties of Copper Ferrite CuFe2O4-Polymer Composite Fabricated Using 3D Printer -- The Effect of Graphene and Natural Rubber Content on Mechanical and Electrical Conductivity Properties of Epoxy/Natural Rubber/Graphene Conductive Materials -- The Effect of Liquid Natural Rubber as Toughening Agent in Epoxy/LNR/CB Composite -- The Properties of Epoxy/Graphene Conductive Materials Using High Speed Mechanical Stirrer and Bath Sonicator -- Mechanical and Water Absorption Properties of Hybrid Kenaf/Glass Fibre Mat Reinforced Unsaturated Polyester Composites -- Microstructure and Mechanical Properties of Cement Mortar Incorporate with Coated Expanded Polystyrene Beads -- Effect of Glycerol on the Properties of Tapioca Starch Film -- Extraction of Rice Straw Alpha Cellulose Micro/Nano Fibres -- Chapter 3: Biomaterials and Biotechnologies, Nanomaterials and Nanotechnologies -- Biomimetic Bone-Like Apatite Coating on Anodised Titanium in Simulated Body Fluid under UV Irradiation -- Comparative Study of Chemical and Mechanical Treatment Effects on Bacterial Cellulose from Nata de Coco -- Crystal Structure of TiO2 Nanotube Arrays Anodized at Different Voltage for Cell-Metal Interaction. Development of New Composition of Bioactive Glass Powder from SiO2-CaO-Na2O-P2O5 System through Melt-Derived Route -- Effect of Temperature towards the Corrosion Behavior of Titania Nanotube Anodized in H2O2-Based Organic Electrolyte -- Influence of Extraction Process (Pre-Treatment Time) on the Characteristic of Black Tilapia Fish Skins Gelatin -- Properties of Aminosilane Modified Nanocrytalline Cellulose (NCC) from Oil Palm Empty Fruit Bunch (OPEFB) Fibers -- Structural and Optical Characterization of TiO2/ZnO Thin Films Prepared by Sol-Gel Method -- The Effects of Electron Beam Irradiation on Structural and Optical Properties of TiO2 Particles -- The Effects of Substrate Orientation on Galvanic Growth of ZnO Structures -- Fabrication and Characterization of ZnO Nanofibers by Electrospinning -- EDS Analysis for Fruit Prunus Elemental Composition Determination -- Study on Conversion Time of Brushite to Monetite via Hydrothermal Method -- The Spectroscopic Analysis of Pandanus' Tristearin -- Chapter 4: Materials for Opto- and Microelectronics -- XRD and Photoluminescence Properties of CaSO4:Dy Phosphor Synthesized by New Co-Precipitation Method -- Growth of ZnO on Flexible Substrate via Sol-Gel Hot Water Treatment -- Structural and Surface Morphology of ZnO -- Radiation Damage Study of Electrical Properties in GaN LEDs Diode after Electron Irradiation -- Study of Eleiodoxa conferta (Kelubi) Fruit as Dye-Sensitized Solar Cell (DSSC) for Energy Conversion Efficiency -- Modification of Optophysical Properties of Poly[(9,9-Di-N-Octylfluorenyl-2,7-Diyl)-Alt-(Benzo[2,1,3]Thiadiazol-4,8-Diyl)] Thin Film via Additions of TiO2 Nanoparticles -- Chapter 5: Metals and Alloys -- Corrosion Properties of Sn-9Zn Solder in Acidic Solution -- Dissolution Method of Aluminum Foams Containing Mg Using Carbamide Space Holder. Effect of Noble Metal Silver on the Reduction Behaviour of Molybdenum Oxide Using Carbon Monoxide -- Electrochemical and XPS Studies of Benzalkonium Chloride for Carbon Steel Protection in Hydrochloric Acid -- Influence of Cerium Additive on the Reduction Behaviour of Tungsten Oxide under Carbon Monoxide Atmosphere -- Polarization Study of Sn-0.7Cu Solder Alloy in 1M Hydrochloric Solution -- Production of Cu-Sn-Zn Ternary Alloy Coating via Electroplating -- Reduction of Molybdenum Trioxide by Using Hydrogen -- The Effect of Dipping Time of Liquid Nitrogen on Mechanical Properties of Al Alloy 5083 via Cryorolling -- The Impact of Composition and Sintering Temperature for Stainless Steel Foams (SS316L) Fabricated by Space Holder Method with Urea as Space Holder -- High Temperature Oxidation Behaviour of Ni-Cr-, Ti- and Fe-Based Alloys in Flowing Wet Gas Environment -- The Relationship between XRD Peak Intensity and Mechanical Properties of Irradiated Lead-Free Solder -- The Effect of Annealing to the Hardness of Oxide Dispersion Strengthened (ODS) Fe-15Cr-0.3Y2O3 Alloy -- Chapter 6: Environmental Engineering, Waste Recycling and Mineral Resources -- Influence of Calcination Temperature towards Fe-TiO2 for Visible-Driven Photocatalyst -- Influence of Reduction Temperatures on Reduction of FeO-Containing Slag by Agricultural Waste -- Determination of Indoor 222Rn Concentrations Level on Different Room Sizes in Academic Building at Universiti Malaysia Kelantan Jeli Campus -- Mineralogical Characteristics and Quantification of Mineral Phases in Malaysian Low Grade Manganese Ore -- Preliminary Determination of Minerals in Mukah Coal -- Sago Pith Waste Ash as an Addition to Fly Ash-Based Geopolymer Mortar -- The Effects of Altitude Levels on 222Rn Concentration in Academic Building at Universiti Malaysia Kelantan Jeli Campus. Investigations of Outdoor and Indoor 222Rn Concentrations Level in Academic Building at Universiti Malaysia Kelantan Jeli Campus. Selected, peer reviewed papers from the International Conference on X-Rays and Related Techniques in Research and Industry 2016 (ICXRI2016), August 17-18, 2016, Putrajaya, Malaysia. EBL202009 XX SzGeCERN BOOK Abdullah, Norazharuddin Shah Abdullah, Yusof Ahmadipour, Mohsen Ismail, Khairul Nizar Rejab, Nik Akmar Yarmo, Mohd Ambar Meor Sulaiman, Meor Yusoff Abdul Aziz, Fauziah https://cds.cern.ch/auth.py?r=EBLIB_P_4865600 ebook n 202036 202009 21 PUBLIC https://catalogue.library.cern/legacy/2729592 BOOK MIGRATED 2729498 SzGeCERN 20210421200507.0 9783030421960 electronic version electronic version 9783030421953 print version 9783030421977 print version 9783030421984 print version DOI 10.1007/978-3-030-42196-0 ebook oai:cds.cern.ch:2729498 cerncds:BOOK eng QA276-280 23 519.5 Computational and methodological statistics and biostatistics contemporary essays in advancement Cham Springer 2020 ebook Emerging topics in statistics and biostatistics 2524-7735 1. Computational Issues Of Maximum Likelihood Estimation Of The Skew-T Distribution And A Proposal For The Initialization Of Numerical Optimization - by Adelchi Azzalini (University of Padua, Italy) and Mahdi Salehi (University of Neyshabur, Iran) -- 2. Modelling Earthquakes: Characterizing Inter-Arrival Times And Magnitude - by Christophe Ley (Ghent University, Belgium) and Rosaria Simone (University of Naples Frederico II, Italy) -- 3. Multivariate Order Statistics Induced By Ordering Linear Combinations Of Components Of Multivariate Elliptical Random Vectors - by Ahad Jamalizadeh (Shahid Bahonar University, Iran), Roohollah Roozegar (Yasouj University, Iran), Narayanaswamy Balakrishnan (McMaster University, Canada) and Mehrdad Naderi (University of Pretoria, South Africa) -- 4. Spatial Interpolation Of Extreme PM1 Values Using Copulas - by Alfred Stein, Fakhereh Alidoost and Vera van Zoest (University of Twente, The Netherlands) -- 5. Distributional Aspects Of The Condition Number From A Unified Complex Wishart Setting - by Johannes Ferreira and Andriëtte Bekker (University of Pretoria, South Africa) -- 6. Weighted Bivariate Pólya-Aeppli Type Ii Distributions - by Claire Geldenhuys and René Ehlers (University of Pretoria, South Africa) -- 7. On The Distribution Of Linear Combinations Of Chi-Square Random Variables - by Carlos A. Coelho (Universidade Nova de Lisboa, Portugal) -- 8. Constructing Multivariate Distributions Using The Dirichlet As A Baseline - by Seite Makgai (University of Pretoria, South Africa), Mohammad Arashi (Shahrood University of Technology, Iran), Daan de Waal (University of the Free State), and Andriëtte Bekker (University of Pretoria, South Africa) -- 9. Evaluating Risk Measures Using The Normal Mean-Variance Birnbaum-Saunders Distribution - by Mehrdad Naderi (University of Pretoria, South Africa), Ahad Jamalizadeh (Shahid Bahonar University, Iran), Wan-Lun Wang (Feng Chia University, Taiwan), Tsung-I Lin (National Chung Hsing University, Taiwan) -- 10. On High-Dimensional Multivariate Bayesian Geostatistics - by Sudipto Banerjee (University of California, USA) -- 11. On Improving The Performance Of Logistic Regression Analysis Via Extreme Ranking - by Hani M. Samawi (Georgia Southern University, USA) -- 12. Optimal Sample Size Allocation For Multi-Level Stress Testing With Extreme Value Regression Under Time Censoring - by Ping Shing Chan (The Chinese University of Hong Kong, Hong Kong),Hon Yiu So (University of Waterloo, Canada), Hon Keung Tony Ng (Southern Methodist University, USA) and Wei Gao (Northeast Normal University, China) -- 13. Robust Mixtures Of Scale Mixtures In The Exponential Family - by Frans Kanfer and Sollie Millard (University of Pretoria, South Africa) -- 14. Variable Selection Of Interval-Censored Failure Time Data - by Tony Sun (University of Missouri, USA) -- 15. On The Design Of A Platform Trial For The Treatment Of Recurrent Clostridium Difficile Infection By Fecal Microbiota Transplantation - by Christine H. Lee (Royal Jubilee Hospital, Canada), Dina Kao (University of Alberta, Canada), Theodore Steiner (University of Vancouver, Canada), Augustine Wigle (University of Guelph, Canada) and Peter T. Kim (University of Guelph, Canada) -- 16. Recent Advances In Bayesian Adaptive Designs And Applications - by J. Jack Lee (University of Texas, USA) -- 17. Generalizability Theory For Clinician-Rated Outcomes - by Joseph C. Cappelleri (Executive Director of Biostatistics, Pfizer Inc) -- 18. Simultaneous Variable Selection And Estimation In Generalized Semiparametric Mixed Effect Modeling Of Longitudinal Data - by Mozhgan Taavoni and Mohammad Arashi (Shahrood University of Technology, Iran) -- 19. Generalized Rayleigh-Exponential-Weibull Distribution and its Application to Modelling of Progressive Type-I Interval Censored Data - by Ding-Geng Chen (University of Pretoria) and Y. L. Lio (University of South Dakota) -- 20. Applications Of Spatial Statistics In Poverty Alleviation In China - by Yong Ge (State Key Laboratory of Resources and Environmental Information System Institute of Geographical Sciences and Natural Resources Research, China) -- 21. Using Improved Robust Estimators In Semiparametric Models For High Dimensional Data - by Mahdi Roozbeh and Mina Norouzirad (Semnan University, Iran) -- 22. GMM marginal models with time dependent covariates - by Elsa Vazquez (Arizona State University) and Jeffrey R Wilson (Arizona State University). In the statistical domain, certain topics have received considerable attention during the last decade or so, necessitated by the growth and evolution of data and theoretical challenges. This growth has invariably been accompanied by computational advancement, which has presented end users as well as researchers with the necessary opportunities to handle data and implement modelling solutions for statistical purposes. Showcasing the interplay among a variety of disciplines, this book offers pioneering theoretical and applied solutions to practice-oriented problems. As a carefully curated collection of prominent international thought leaders, it fosters collaboration between statisticians and biostatisticians and provides an array of thought processes and tools to its readers. The book thereby creates an understanding and appreciation of recent developments as well as an implementation of these contributions within the broader framework of both academia and industry. Computational and Methodological Statistics and Biostatistics is composed of three main themes: • Recent developments in theory and applications of statistical distributions; • Recent developments in supervised and unsupervised modelling; • Recent developments in biostatistics; and also features programming code and accompanying algorithms to enable readers to replicate and implement methodologies. Therefore, this monograph provides a concise point of reference for a variety of current trends and topics within the statistical domain. With interdisciplinary appeal, it will be useful to researchers, graduate students, and practitioners in statistics, biostatistics, clinical methodology, geology, data science, and actuarial science, amongst others. . Mathematics and statistics SPR202009 SzGeCERN Mathematical Physics and Mathematics SPR Biostatistics SPR Big data SPR Data mining SPR Statistics for Life Sciences, Medicine, Health Sciences SPR Big DataAnalytics SPR Data Mining and Knowledge Discovery BOOK Bekker, Andriëtte ed. Chen, (Din) ed. Ferreira, Johannes ed. 202009 SPR n 202036 21 PUBLIC https://catalogue.library.cern/legacy/2729498 BOOK MIGRATED 2729485 SzGeCERN 20210421200508.0 9789811547423 electronic version electronic version print version 9789811547416 print version 9789811547430 DOI 10.1007/978-981-15-4742-3 ebook oai:cds.cern.ch:2729485 cerncds:BOOK eng QC176.8.N35 T174.7 620.5 23 Advances in nanotechnology and its applications Singapore Springer 2020 ebook 1. Characterization of Enzyme Immobilization on Novel Supports - Multiwalled Carbon Nanotube and Alginate -- 2. Graphene Synthesis and Antibody Immobilization Techniques for Immunosensors -- 3. Nanomaterial for Biosensors -- 4. Bionanomaterial Thin Film for Piezoelectric Applications -- 5. Experimental Methods for the Phytochemical Production of Nanoparticles -- 6. Isolation of Nanocellulose Fibers (NCF) from Cocoa Pod (Theobroma Cacao L.) via Chemical Treatment Combined with Ultrasonication -- 7. Characterizations of Polylactic Acid/Organoclay Nanocomposites -- 8. Embedding Nano-Adsorbents within Gross Pollutant Traps (GPTs): A Review. This book highlights current trends and research advances in nanotechnology and its applications. It discusses the synthesis and characterization of nanomaterials / nanocomposites for novel applications in environmental monitoring and sustainability, and presents new findings on wastewater treatment technologies using nanofiltration membranes. Physics and astronomy SPR202009 SzGeCERN Other Fields of Physics SPR Nanochemistry SPR Environmental monitoring SPR MonitoringEnvironmental Analysis BOOK Jameel, Ahmad ed. Yaser, Abu ed. SPR n 202036 202009 21 PUBLIC https://catalogue.library.cern/legacy/2729485 BOOK MIGRATED 2740759 SzGeCERN 20210415211527.0 9781420028355 electronic version electronic version 9780824727550 print version oai:cds.cern.ch:2740759 cerncds:BOOK EBL 4634335 eng TJ900.V85 2005 621.6/9 Michael, Volk Pump characteristics and applications 2nd ed. New York, NY CRC Press 2005 566 p Front cover -- Preface to the Second Edition -- Acknowledgments -- Contents -- Preface to the First Edition -- About the Author -- 1 -- Introduction to Pumps -- I. What Is a Pump? -- II. Why Increase a Liquid's Pressure? -- III. Pressure and Head -- IV. Classification of Pumps -- A. Principle of Energy Addition -- 1. Kinetic -- 2. Positive Displacement -- B. How Energy Addition Is Accomplished -- C. Geometry Used -- V. How Centrifugal Pumps Work -- VI. Positive Displacement Pumps -- A. General -- B. When to Choose a P.D. Pump -- C. Major Types of P.D. Pumps -- 1. Sliding Vane Pump -- 2. Sinusoidal Rotor Pump -- 3. Flexible Impeller Pump -- 4. Flexible Tube (Peristaltic) Pump -- 5. Progressing Cavity Pump -- 6. External Gear Pump -- 7. Internal Gear Pump -- 8. Rotary Lobe Pump -- 9. Circumferential Piston and Bi-Wing Lobe Pumps -- 10. Multiple-Screw Pump -- 11. Piston Pump -- 12. Plunger Pump -- 13. Diaphragm Pump -- 14. Miniature Positive Displacement Pumps -- 2 -- Hydraulics, Selection, and Curves -- I. OVERVIEW -- II. Pump Capacity -- III. Head -- A. Static Head -- B. Friction Head -- C. Pressure Head -- D. Velocity Head -- IV. Performance Curve -- V. Horsepower and Efficiency -- A. Hydraulic Losses -- B. Volumetric Losses -- C. Mechanical Losses -- D. Disk Friction Losses -- VI. NPSH AND CAVITATION -- A. Cavitation and NPSH Defined -- 1. NPSHa -- 2. NPSHr -- B. Calculating NPSHa: Examples -- C. Remedies for Cavitation -- D. More NPSHa Examples -- E. Safe Margin NPSHa vs. NPSHr -- F. NPSH for Reciprocating Pumps -- VII. Specific Speed and Suction Specific Speed -- VIII. AFFINITY LAWS -- IX. SYSTEM HEAD CURVES -- X. Parallel Operation -- XI. Series Operation -- XII. Oversizing Pumps -- XIII. Pump Speed Selection -- A. Suction Specific Speed -- B. Shape of Pump Performance Curves -- C. Maximum Attainable Efficiency. D. Speeds Offered by Manufacturers -- E. Prior Experience -- 3 -- Special Hydraulic Considerations -- I. Overview -- II. VISCOSITY -- III. Software to Size Pumps and Systems -- A. General -- B. Value of Piping Design Software -- C. Evaluating Fluid Flow Software -- D. Building the System Model -- 1. Copy Command -- 2. Customize Symbols -- 3. CAD Drawing Features -- 4. Naming Items -- 5. Displaying Results -- 6. The Look of the Piping Schematic -- E. Calculating the System Operation -- 1. Sizing Pipe Lines -- 2. Calculating Speed -- 3. Showing Problem Areas -- 4. Equipment Selection -- 5. Alternate System Operational Modes -- F. Communicating the Results -- 1. Viewing Results within the Program -- 2. Incorporating User-Defined Limits -- 3. Selecting the Results to Display -- 4. Plotting the Piping Schematic -- 5. Exporting the Results -- 6. Sharing Results with Others -- 7. Sharing Results Using a Viewer Program -- G. Conclusion -- H. List of Software Vendors -- IV. PIPING LAYOUT -- V. Sump Design -- VI. Field Testing -- A. General -- B. Measuring Flow -- 1. Magnetic Flowmeter -- 2. Mass Flowmeter -- 3. Nozzle -- 4. Orifice Plate -- 5. Paddle Wheel -- 6. Pitot Tube -- 7. Segmental Wedge -- 8. Turbine Meter -- 9. Ultrasonic Flowmeter -- 10. Venturi -- 11. Volumetric Measurement -- 12. Vortex Flowmeter -- C. Measuring TH -- D. Measuring Power -- E. Measuring NPSH -- 4 -- Centrifugal Pump Types and Applications -- I. Overview -- II. Impellers -- A. Open vs. Closed Impellers -- B. Single vs. Double Suction -- C. Suction Specific Speed -- D. Axial Thrust and Thrust Balancing -- E. Filing Impeller Vane Tips -- F. Solids Handling Impellers -- III. END SUCTION PUMPS -- A. Close-Coupled Pumps -- B. Frame-Mounted Pumps -- IV. Inline Pumps -- V. Self-Priming Centrifugal Pumps -- VI. Split Case Double Suction Pumps -- VII. MULTI-STAGE PUMPS -- A. General. B. Axially Split Case Pumps -- C. Radially Split Case Pumps -- VIII. VERTICAL COLUMN PUMPS -- IX. Submersible Pumps -- X. Slurry Pumps -- XI. Vertical Turbine Pumps -- XII. Axial Flow Pumps -- XIII. Regenerative Turbine Pumps -- XIV. Pump Specifications and Standards -- A. General -- 1. Liquid Properties -- 2. Hydraulic Conditions -- 3. Installation Details -- B. ANSI -- C. API -- D. ISO -- XV. Couplings -- XVI. Electric Motors -- A. Glossary of Frequently Occurring Motor Terms -- 1. Amps -- 2. Code Letter -- 3. Design Letter -- 4. Efficiency -- 5. Frame Size -- 6. Frequency -- 7. Full Load Speed -- 8. High Inertial Load -- 9. Insulation Class -- 10. Load Types -- 11. Phase -- 12. Poles -- 13. Power Factor -- 14. Service Factor -- 15. Slip -- 16. Synchronous Speed -- 17. Temperature -- 18. Time Rating -- 19. Voltage -- B. Motor Enclosures -- 1. Open Drip Proof -- 2. Totally Enclosed Fan Cooled -- 3. Totally Enclosed Air Over -- 4. Totally Enclosed Non-Ventilated -- 5. Hazardous Location -- C. Service Factor -- D. Insulation Classes -- E. Motor Frame Size -- 1. Historical Perspective -- 2. Rerating and Temperature -- 3. Motor Frame Dimensions -- 4. Fractional Horsepower Motors -- 5. Integral Horsepower Motors -- 6. Frame Designation Variations -- F. Single Phase Motors -- G. Motors Operating on Variable Frequency Drives -- H. NEMA Locked Rotor Code -- I. Amps, Watts, Power Factor, and Efficiency -- 1. Introduction -- 2. Power Factor -- 3. Efficiency -- 4. Amperes -- 5. Summary -- 5 -- Sealing Systems and Sealless Pumps -- I. Overview -- II. O-Rings -- A. What Is an O-Ring? -- B. Basic Principals of the O-Ring Seal -- C. The Function of the O-Ring -- D. Static and Dynamic O-Ring Sealing Applications -- E. Other Common O-Ring Seal Configurations -- F. Limitations of O-Ring Use -- III. Stuffing Box and Packing Assembly -- A. Stuffing Box. B. Stuffing Box Bushing -- C. Packing Rings -- D. Packing Gland -- E. Lantern Ring -- IV. Mechanical Seals -- A. Mechanical Seal Advantages -- 1. Lower Mechanical Losses -- 2. Less Sleeve Wear -- 3. Zero or Minimal Leakage -- 4. Reduced Maintenance -- 5. Seal Higher Pressures -- B. How Mechanical Seals Work -- C. Types of Mechanical Seals -- 1. Single, Inside Seals -- 2. Single, Outside Seals -- 3. Single, Balanced Seals -- 4. Double Seals -- 5. Tandem Seals -- 6. Gas Lubricated Non-Contacting Seals -- V. Sealless Pumps -- A. General -- B. Magnetic Drive Pumps -- 1. Bearings in the Pumped Liquid -- 2. Dry Running -- 3. Inefficiency -- 4. Temperature -- 5. Viscosity -- C. Canned Motor Pumps -- 1. Fewer Bearings -- 2. More Compact -- 3. Double Containment -- 4. Lower First Cost -- 6 -- Energy Conservation and Life-Cycle Costs -- I. Overview -- II. Choosing the Most Efficient Pump -- III. Operating with Minimal Energy -- IV. Variable-Speed Pumping Systems -- V. Pump Life-Cycle Costs -- A. Improving Pump System Performance: An Overlooked Opportunity? -- B. What Is Life-Cycle Cost? -- C. Why Should Organizations Care about Life-Cycle Cost? -- D. Getting Started -- E. Life-Cycle Cost Analysis -- 1. Cic - Initial Investment Costs -- 2. Cin - Installation and Commissioning (Start-up) Costs -- 3. Ce - Energy Costs -- 4. Co - Operation Costs -- 5. Cm - Maintenance and Repair Costs -- 6. Cs - Downtime and Loss of Production Costs -- 7. Cenv - Environmental Costs, Including Disposal of Parts and Contamination from Pumped Liquid -- 8. Cd - Decommissioning/Disposal Costs, Including Restoration of the Local Environment -- F. Total Life-Cycle Costs -- G. Pumping System Design -- H. Methods for Analyzing Existing Pumping Systems -- I. Example: Pumping System with a Problem Control Valve -- J. For More Information -- 1. About the Hydraulic Institute. 2. About Europump -- 3. About the U.S. Department of Energy's Office of Industrial Technologies -- 7 -- Special Pump-Related Topics -- I. Overview -- II. Variable-Speed Systems -- III. Sealless Pumps -- IV. Corrosion -- 1. Galvanic, or Two-Metal Corrosion -- 2. Uniform, or General Corrosion -- 3. Pitting Corrosion -- 4. Intergranular Corrosion -- 5. Erosion Corrosion -- 6. Stress Corrosion -- 7. Crevice Corrosion -- 8. Graphitization or Dezincification Corrosion -- V. Nonmetallic Pumps -- VI. Materials Used for O-Rings in Pumps -- A. General -- B. Eight Basic O-Ring Elastomers -- 1. Nitrile (Buna N) -- 2. Neoprene -- 3. Ethylene Propylene -- 4. Fluorocarbon (Viton) -- 5. Butyl -- 6. Polyacrylate -- 7. Silicone -- 8. Fluorosilicone -- VII. High-Speed Pumps -- VIII. Bearings and Bearing Lubrication -- IX. Precision Alignment Techniques -- X. Software to Size Pumps and Systems -- 8 -- Installation, Operation, and Maintenance -- I. Overview -- II. Installation, Alignment, and Start-Up -- A. General -- B. Installation Checklist -- 1. Tag and Lock Out -- 2. Check Impeller Setting -- 3. Install Packing or Seal -- 4. Mount Bedplate, Pump, and Motor -- 5. Check Rough Alignment -- 6. Place Grout in Bedplate -- 7. Check Alignment -- 8. Flush System Piping -- 9. Connect Piping to Pump -- 10. Check Alignment -- 11. Turn Pump by Hand -- 12. Wire and Jog Motor -- 13. Connect Coupling -- 14. Check Shaft Runout -- 15. Check Valve and Vent Positions -- 16. Check Lubrication/Cooling Systems -- 17. Prime Pump if Necessary -- 18. Check Alignment -- 19. Check System Components Downstream -- 20. Start and Run Pump -- 21. Stop Pump and Check Alignment -- 22. Drill and Dowel Pump to Base -- 23. Run Benchmark Tests -- III. Operation -- A. General -- B. Minimum Flow -- 1. Temperature Rise -- 2. Radial Bearing Loads -- 3. Axial Thrust -- 4. Prerotation. 5. Recirculation and Separation. https://cds.cern.ch/auth.py?r=EBLIB_P_4634335 ebook ebook Mechanical engineering : a series of textbooks and reference books EBL202010 SzGeCERN Mathematical Physics and Mathematics BOOK n 202041 21 PUBLIC BOOK DELETED 2740668 SzGeCERN 20210423001504.0 ISO-14015 eng 13.020.10 International Organization for Standardization. Geneva Management environnemental Évaluation environnementale de sites et d'organismes (EESO) Geneva ISO 2001 28 p SzGeCERN Engineering STANDARD English version 2740642 Language 2251400 646929 http://cds.cern.ch/record/2740668/files/ISO_14015_2001(fr).PDF 2251400 33517 http://cds.cern.ch/record/2740668/files/ISO_14015_2001(fr).jpg?subformat=icon-700 icon-700 2251400 4354 http://cds.cern.ch/record/2740668/files/ISO_14015_2001(fr).gif?subformat=icon icon 2251400 5345 http://cds.cern.ch/record/2740668/files/ISO_14015_2001(fr).jpg?subformat=icon-180 icon-180 h 202041 21 https://catalogue.library.cern/legacy/2740668 BOOK STANDARD MIGRATED 2740665 SzGeCERN 20210423001505.0 ISO-14006 fre 13.020.10 03.100.70 International Organization for Standardization. Geneva Systèmes de management environnemental Lignes directrices pour intégrer l'éco-conception 2nd ed. Geneva ISO 2020 46 p SzGeCERN Engineering STANDARD English version 2740642 Language 2251399 2696094 http://cds.cern.ch/record/2740665/files/ISO_14006_2020(fr).PDF 2251399 35590 http://cds.cern.ch/record/2740665/files/ISO_14006_2020(fr).jpg?subformat=icon-700 icon-700 2251399 4400 http://cds.cern.ch/record/2740665/files/ISO_14006_2020(fr).gif?subformat=icon icon 2251399 4982 http://cds.cern.ch/record/2740665/files/ISO_14006_2020(fr).jpg?subformat=icon-180 icon-180 h 202041 21 https://catalogue.library.cern/legacy/2740665 BOOK STANDARD MIGRATED 2740642 SzGeCERN 20210423001506.0 ISO-14006 eng 13.020.10 03.100.70 International Organization for Standardization. Geneva Environmental management systems Guidelines for incorporating ecodesign 2nd ed. Geneva ISO 2020 44 p SzGeCERN Engineering STANDARD French version 2740665 Language 2251215 2479602 http://cds.cern.ch/record/2740642/files/ISO_14006_2020(en).PDF 2251215 34094 http://cds.cern.ch/record/2740642/files/ISO_14006_2020(en).jpg?subformat=icon-700 icon-700 2251215 4328 http://cds.cern.ch/record/2740642/files/ISO_14006_2020(en).gif?subformat=icon icon 2251215 4856 http://cds.cern.ch/record/2740642/files/ISO_14006_2020(en).jpg?subformat=icon-180 icon-180 h 202041 21 https://catalogue.library.cern/legacy/2740642 BOOK STANDARD MIGRATED 2740524 SzGeCERN 20210421184548.0 9783030363086 electronic version electronic version 9783030363079 print version DOI 10.1007/978-3-030-36308-6 ebook oai:cds.cern.ch:2740524 cerncds:BOOK eng QB495-500.269 23 520 23 500.5 Handbook of small satellites technology, design, manufacture, applications, economics and regulation Cham Springer 2020 ebook In the past decade, the field of small satellites has expanded the space industry in a powerful way. Hundreds, indeed thousands, of these innovative and highly cost-efficient satellites are now being launched from Earth to establish low-cost space systems. These smallsats are engaged in experiments and prototype testing, communications services, data relay, internet access, remote sensing, defense and security related services, and more. Some of these systems are quite small and are simple student experiments, while others in commercial constellations are employing state-of-the-art technologies to deliver fast and accurate services. This handbook provides a comprehensive overview of this exciting new field. It covers the technology, applications and services, design and manufacture, launch arrangements, ground systems, and economic and regulatory arrangements surrounding small satellites. The diversity of approach in recent years has allowed for rapid innovation and economic breakthroughs to proceed at a pace that seems only to be speeding up. In this reference work, readers will find information pertaining to all aspects of the small satellite industry, written by a host of international experts in the field. Physics and astronomy Reference module physical and materials science SPR202010 SzGeCERN Astrophysics and Astronomy SPR Environmental monitoring SPR Communications Engineering, Networks SPR MonitoringEnvironmental Analysis BOOK Pelton, Joseph ed. Madry, Scott ed. 202010 SPR n 202041 21 PUBLIC https://catalogue.library.cern/legacy/2740524 BOOK MIGRATED 2739503 SzGeCERN 20210421184649.0 9780128036150 9780128036464 oai:cds.cern.ch:2739503 cerncds:BOOK SAFARI 9780128036464 9780128036464 eng Ramiah, Vikash Handbook of Environmental and Sustainable Finance [S.l.] Academic Press 2015 mult. p ebook SAF202010 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9780128036464/?ar ebook n 202040 21 PUBLIC https://catalogue.library.cern/legacy/2739503 BOOK MIGRATED 2739036 SzGeCERN 20210421195345.0 9780127999685 9780128022337 oai:cds.cern.ch:2739036 cerncds:BOOK SAFARI 9780127999685 9780127999685 eng Klemes, Jiri Assessing and Measuring Environmental Impact and Sustainability [S.l.] Butterworth-Heinemann 2015 mult. p ebook SAF202010 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9780127999685/?ar ebook n 202040 21 PUBLIC https://catalogue.library.cern/legacy/2739036 BOOK MIGRATED 2739017 SzGeCERN 20210421195346.0 9780124116337 9780124116351 oai:cds.cern.ch:2739017 cerncds:BOOK SAFARI 9780124116351 9780124116351 eng Fennelly, Lawrence Crime Prevention Through Environmental Design 3rd ed. [S.l.] Butterworth-Heinemann 2013 mult. p ebook SAF202010 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9780124116351/?ar ebook n 202040 21 PUBLIC https://catalogue.library.cern/legacy/2739017 BOOK MIGRATED 2738265 SzGeCERN 20210421195439.0 1482257726 9781482257724 9781482257731 oai:cds.cern.ch:2738265 cerncds:BOOK SAFARI 9781482257724 9781482257724 eng Yoder, Paul Opto-Mechanical Systems Design v.2 Design and Analysis of Large Mirrors and Structures 4th ed. [S.l.] CRC Press 2015 mult. p ebook Opto-Mechanical Systems Design, Fourth Edition is different in many ways from its three earlier editions: coauthor Daniel Vukobratovich has brought his broad expertise in materials, opto-mechanical design, analysis of optical instruments, large mirrors, and structures to bear throughout the book; Jan Nijenhuis has contributed a comprehensive new chapter on kinematics and applications of flexures; and several other experts in special aspects of opto-mechanics have contributed portions of other chapters. An expanded feature―a total of 110 worked-out design examples―has been added to several chapters to show how the theory, equations, and analytical methods can be applied by the reader. Finally, the extended text, new illustrations, new tables of data, and new references have warranted publication of this work in the form of two separate but closely entwined volumes. The first volume, Design and Analysis of Opto-Mechanical Assemblies, addresses topics pertaining primarily to optics smaller than 50 cm aperture. It summarizes the opto-mechanical design process, considers pertinent environmental influences, lists and updates key parameters for materials, illustrates numerous ways for mounting individual and multiple lenses, shows typical ways to design and mount windows and similar components, details designs for many types of prisms and techniques for mounting them, suggests designs and mounting techniques for small mirrors, explains the benefits of kinematic design and uses of flexures, describes how to analyze various types of opto-mechanical interfaces, demonstrates how the strength of glass can be determined and how to estimate stress generated in optics, and explains how changing temperature affects opto-mechanical assemblies. The second volume, Design and Analysis of Large Mirrors and Structures, concentrates on the design and mounting of significantly larger optics and their structures, including a new and important topic: detailed consideration of factors affecting large mirror performance. The book details how to design and fabricate very large single-substrate, segmented, and lightweight mirrors; describes mountings for large mirrors with their optical axes in vertical, horizontal, and variable orientations; indicates how metal and composite mirrors differ from ones made of glass; explains key design aspects of optical instrument structural design; and takes a look at an emerging technology―the evolution and applications of silicon and silicon carbide in mirrors and other types of components for optical applications SAF202009 MULTIVOLUMES1 VOL10018 SzGeCERN XX SzGeCERN Other Fields of Physics BOOK Vukobratovich, Daniel https://learning.oreilly.com/library/view/-/9781482257724/?ar ebook n 202040 21 PUBLIC https://catalogue.library.cern/legacy/2738265 BOOK MIGRATED 2681944 2738260 SzGeCERN 20210421195439.0 9781907794780 9781907794803 oai:cds.cern.ch:2738260 cerncds:BOOK SAFARI 9781907794803 9781907794803 eng Hall, Carl The Environmental Capitalist [S.l.] LID Publishing 2014 mult. p ebook SAF202009 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9781907794803/?ar ebook n 202040 21 PUBLIC https://catalogue.library.cern/legacy/2738260 BOOK MIGRATED 2738099 SzGeCERN 20210421195453.0 1118226224 9781118226223 oai:cds.cern.ch:2738099 cerncds:BOOK SAFARI 9781118226223 9781118226223 eng Savitz, Andrew The Triple Bottom Line How Today's Best-Run Companies Are Achieving Economic, Social and Environmental Success - and How You Can Too Rev. and updated ed. [S.l.] Jossey-Bass 2013 mult. p ebook SAF202009 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9781118226223/?ar ebook n 202040 21 PUBLIC https://catalogue.library.cern/legacy/2738099 BOOK MIGRATED 2737450 SzGeCERN 20210421195548.0 042922625X 113802807X 9780429226250 9781138028074 9781315685380 9781317411987 9781317411994 9781317412007 oai:cds.cern.ch:2737450 cerncds:BOOK SAFARI 9781315685380 9781315685380 eng Chan, Kennis Environmental Engineering and Computer Application [S.l.] CRC Press 2015 mult. p ebook SAF202009 SzGeCERN XX BOOK https://learning.oreilly.com/library/view/-/9781315685380/?ar ebook n 202040 21 PUBLIC https://catalogue.library.cern/legacy/2737450 BOOK MIGRATED 2746065 20220301040525.0 oai:cds.cern.ch:2746065 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2011.07297 oai:inspirehep.net:1830486 https://inspirehep.net/api/oai2d Inspire 2022-02-28T02:56:40Z 2022-03-01T03:00:18Z marcxml true Inspire 1830486 arXiv arXiv:2011.07297 physics.ins-det eng Abbrescia, Marcello Bari U. INFN, Bari Dipartimento Interateneo di Fisica "M. Merlin", Via G. Amendola, 173, 70126 Bari, Italy Sezione INFN, Via E. Orabona 4, I-70125 Bari, Italy arXiv Supersensitive multipurpose/multifunctional avalanche gaseous detectors for environmental, hazard, intrusion systems (SMART) 2020-11-14 5 p arXiv Presented at the final ATTRACT meeting, September, 2020 arXiv The aim of this work is to develop a prototype of integrated detector system to monitor environmental hazard: appearance of flames, smoke, sparks or dangerous gases (flammable, toxic, radioactive). We built and successfully tested prototypes of all components of the system. Our sensors are based on established CERN technologies and have superior characteristics, featuring between 10 to 1000 times higher sensitivity than the best commercial sensors. The final version of our device would consist of multifunctional sensors assembled in a single unit; each sensor will perform a specific task and deliver information to a common computing centre via cellular or satellite phone protocols. preprint CC0 1.0 http://creativecommons.org/publicdomain/zero/1.0/ arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques CERN PREPRINT De Cataldo, Giacinto INFN, Bari CERN Sezione INFN, Via E. Orabona 4, I-70125 Bari, Italy European Organization for Nuclear Research (CERN), Esplanade des Particules 1, CH-1217 Meyrin, Switzerland di Mauro, Antonio CERN European Organization for Nuclear Research (CERN), Esplanade des Particules 1, CH-1217 Meyrin, Switzerland Martinengo, Paolo CERN European Organization for Nuclear Research (CERN), Esplanade des Particules 1, CH-1217 Meyrin, Switzerland Pastore, Cosimo INFN, Bari Sezione INFN, Via E. Orabona 4, I-70125 Bari, Italy Peskov, Vladimir CERN Moscow, Inst. Chem. Phys. European Organization for Nuclear Research (CERN), Esplanade des Particules 1, CH-1217 Meyrin, Switzerland N.N.Semenov Institute for Chemical Physics, Kesygina street, 4, 117979 Moscow, Russia Pietropaolo, Francesco CERN INFN, Padua European Organization for Nuclear Research (CERN), Esplanade des Particules 1, CH-1217 Meyrin, Switzerland INFN Sezione di Padova, Via F. Marzolo, 8,35131 Padua, Italy Volpe, Giacomo INFN, Bari Bari U. Sezione INFN, Via E. Orabona 4, I-70125 Bari, Italy Rodionov, Alexey Moscow, Inst. Chem. Phys. Unlisted, RU N.N.Semenov Institute for Chemical Physics, Kesygina street, 4, 117979 Moscow, Russia REMOS Electronic company, Programistov street, 4, 141980 Dubna, Russia. C20-09-22.2 2266661 857771 http://cds.cern.ch/record/2746065/files/2011.07297.pdf Fulltext 11 2746037 online20200922 ConferencePaper PREPRINT 2745860 SzGeCERN 20220125231658.0 DOI Institute of Physics, Polish Academy of Science 10.12693/APhysPolA.137.91 oai:inspirehep.net:1792513 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS HAL hal-02564659 http://old.inspirehep.net/oai2d oai:inspirehep.net:1792513 2020-11-25T15:35:16Z 2020-11-26T05:00:46Z marcxml Inspire 1792513 eng Mariazzi, S Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Institute of Physics, Polish Academy of Science Techniques for Production and Detection of $2^3S$ Positronium 2020 5 p In this work, we show recent measurements of $2^{3}S$ long-lived positronium production via spontaneous decay from the 3 3P level. The possibility to tune the velocity of the $2^{3}S$ positronium, excited following this scheme, is presented. In the light of these results, we discuss the use of the $3^{3}P$→ $2^{3}S$ transition to realize a monochromatic pulsed $2^{3}S$ positronium beam with low angular divergence. Preliminary tests of $2^{3}S$ beam production are presented. The possibility to overcome the natural $3^{3}P$ → $2^{3}S$ branching ratio via stimulated emission, and thus increasing the intensity of the $2^{3}S$ source, is also shown. A position-sensitive detector for a pulsed beam of positronium, with spatial resolution of ≈ 90 $\mu m$, is finally described in view of its possible application for the spatial characterization of the $2^{3}S$ beam CC-BY-4.0 SzGeCERN Physics in General CERN Caravita, R CERN Vespertini, A Trento U. Camper, A CERN Rienacker, B CERN Brusa, R S Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Antonello, M INFN, Milan Insubria U., Como Department of Science, University of Insubria, Via Valleggio 11, 22100 Como, Italy Belov, A Moscow, INR Bonomi, G Brescia U. INFN, Pavia INFN Pavia, via Bassi 6, 27100 Pavia, Italy Caccia, M INFN, Milan INFM, Como Department of Science, University of Insubria, Via Valleggio 11, 22100 Como, Italy Castelli, F INFN, Milan Milan U. Department of Physics ``Aldo Pontremoli'', University of Milano, via Celoria 16, 20133 Milano, Italy Cerchiari, G Heidelberg, Max Planck Inst. Comparat, D LAC, Orsay Consolati, G Milan Polytechnic INFN, Milan INFN Milano, via Celoria 16, 20133 Milano, Italy Demetrio, A Heidelberg U. Mainz, Max Planck Inst. Max Planck Institute for Nuclear Physics, Saupfercheckweg 1, 69117 Heidelberg, Germany Noto, Di Genoa U. INFN, Genoa INFN Genova, via Dodecaneso 33, 16146 Genova, Italy Doser, M CERN Fanì, M CERN Genoa U. INFN, Genoa Department of Physics, University of Genova, via Dodecaneso 33, 16146 Genova, Italy Fesel, J CERN Gerber, S CERN Gligorova, A Stefan Meyer Inst. Subatomare Phys. Guatieri, F Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Hackstock, P Stefan Meyer Inst. Subatomare Phys. Haider, S CERN Hinterberger, A CERN Kellerbauer, A Heidelberg, Max Planck Inst. Khalidova, O CERN Krasnicky, D INFN, Genoa Lagomarsino, V Genoa U. INFN, Genoa INFN Genova, via Dodecaneso 33, 16146 Genova, Italy Lebrun, P Lyon, IPN Malbrunot, C CERN Stefan Meyer Institute for Subatomic Physics, Austrian Academy of Sciences, Boltzmanngasse 3, 1090 Vienna, Austria Matveev, V Joint Institute for Nuclear Research, Dubna 141980, Russia Muller, S R Heidelberg U. Nebbia, G INFN, Padua Nedelec, P Lyon, IPN Oberthaler, M Heidelberg U. Oswald, E CERN Pagano, D Brescia U. INFN, Pavia INFN Pavia, via Bassi 6, 27100 Pavia, Italy Penasa, L Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Petracek, V Prague, Tech. U. Prelz, F INFN, Milan Prevedelli, M Bologna U. Robert, J LAC, Orsay Røhne, O M Oslo U. Rotondi, A INFN, Pavia Pavia U. Department of Physics, University of Pavia, via Bassi 6, 27100 Pavia, Italy Sandaker, H Oslo U. Santoro, R INFN, Milan Insubria U., Como Department of Science, University of Insubria, Via Valleggio 11, 22100 Como, Italy Testera, G INFN, Genoa Tietje, I C CERN Widmann, E Austrian Academy of Sciences Wolz, T CERN Yzombard, P Heidelberg, Max Planck Inst. Zimmer, C CERN Heidelberg, Max Planck Inst. Heidelberg U. Max Planck Institute for Nuclear Physics, Saupfercheckweg 1, 69117 Heidelberg, Germany Zurlo, N INFN, Pavia Brescia U. Department of Civil, Environmental, Architectural Engineering and Mathematics, University of Brescia, via Branze 43, 25123 Brescia, Italy 1792566 91-95 Acta Phys. Pol. A 137 C19-09-02.10 2020 2348103 810421 http://cds.cern.ch/record/2745860/files/app137z2p03.pdf Fulltext 13 2741401 91-95 prague20190902 ARTICLE ConferencePaper 2745530 SzGeCERN 20210108215856.0 DOI Elsevier 10.1016/j.radmeas.2020.106488 oai:inspirehep.net:1831572 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN ForCDS http://old.inspirehep.net/oai2d 2020-11-21T05:00:04Z marcxml oai:inspirehep.net:1831572 2020-11-20T15:53:58Z Inspire 1831572 eng Gallego Manzano, L lucia.gallego.manzano@cern.ch CERN Elsevier A distributed and interconnected network of sensors for environmental radiological monitoring 2020 Elsevier The W-MON project aims to improve and automatize the control of the presence of radioactive material in conventional waste containers at CERN using a distributed network of interconnected low-power radiation sensors. The key development is the integration of a lightweight but sensitive radiation sensor in a powerful network that allows continuous data recording, transfer and storage in a database for alarm triggering and subsequent data analysis. The Chiyoda D-shuttle personal dosimeter was used as proof-of-concept. Extensive tests performed with the commercial version of the D-shuttle showed that its robustness, stability under variable thermal conditions, high sensitivity and hourly dose logging capabilities make it a strong candidate for the project. To comply with the requirements of remote operation and wireless data transmission to a central server, a customized version of the D-shuttle has been developed. Two additional radiation sensors are also currently being considered. The sensors have been coupled to a custom-made communication board allowing for long-range low-power LoRa wireless data transmission. A centralized IoT (Internet of Things) end-to-end data architecture has been developed for real-time monitoring and visualization of the radiation level in waste containers before the final integration into REMUS, the overall CERN Radiation and Environment Monitoring Unified Supervision service. CC-BY-4.0 Elsevier http://creativecommons.org/licenses/by/4.0/ © 2020 The Authors. Published by Elsevier Ltd. author Radioactive waste monitoring author Internet of Things author LoRa author Environmental radiation monitoring CERN Bisegni, C Frascati Boukabache, H ORCID:0000-0001-6243-8401 CERN Curioni, A CERN Heracleous, N ORCID:0000-0002-2744-7238 CERN Murtas, F Frascati Perrin, D CERN Silari, M CERN 106488 2020 Radiat. Meas. 139 435667 http://old.inspirehep.net/record/1831572/files/inspire%20.html Fulltext 2272217 4519489 http://cds.cern.ch/record/2745530/files/untitled.pdf Fulltext from Publisher 2272217 13557 http://cds.cern.ch/record/2745530/files/untitled.gif?subformat=icon icon Fulltext from Publisher 2272217 197746 http://cds.cern.ch/record/2745530/files/untitled.jpg?subformat=icon-700 icon-700 Fulltext from Publisher 2272217 38068 http://cds.cern.ch/record/2745530/files/untitled.jpg?subformat=icon-180 icon-180 Fulltext from Publisher 13 ARTICLE 2745103 SzGeCERN 20210209235448.0 DOI IOP 10.1088/1742-6596/1612/1/012025 oai:inspirehep.net:1814198 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS HAL hal-02946153 http://old.inspirehep.net/oai2d 2020-11-20T05:00:06Z marcxml oai:inspirehep.net:1814198 2020-11-19T14:15:40Z Inspire 1814198 eng Tietje, I C ingmari.tietje@cern.ch CERN Berlin, Tech. U. Centre of Astronomy and Astrophysics, TU Berlin, 10623 Berlin, Hardenbergstraϐe 36, D-10623 Berlin, Germany IOP Protocol for pulsed antihydrogen production in the AE$\overline{g}$IS apparatus 2020 12 p IOP The AEḡIS collaboration’s main goal is to measure the acceleration of antihydrogen it ($\textit{H}$) due to gravity. The experimental scheme is to form a pulsed beam whose vertical deflection is then measured by means of a moiré deflectometer [1]. Creating pulsed $\textit{H}$ is crucial since it allows a velocity measurement of the antiatoms via time of flight ($\mathrm{ToF}$) necessary to deduce the gravitational acceleration ḡ from the vertical deflection $\Delta\mathit{s}$. The aim of this article is to outline the experimental protocol leading up to pulsed antihydrogen production in the AEḡIS experiment. CC-BY-3.0 IOP http://creativecommons.org/licenses/by/3.0/ © The Authors SzGeCERN Particle Physics - Experiment CERN Amsler, C Stefan Meyer Inst. Subatomare Phys. Antonello, M Insubria U., Como INFN, Milan INFN Milano, via Celoria 16, 20133 Milano, Italy Belov, A Moscow, INR Bonomi, G INFM, Brescia INFN, Pavia INFN Pavia, via Bassi 6, 27100 Pavia, Italy Brusa, R S Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Caccia, M Insubria U., Como INFN, Milan INFN Milano, via Celoria 16, 20133 Milano, Italy Camper, A CERN Caravita, R TIFPA-INFN, Trento Castelli, F INFN, Milan Milan U. Department of Physics “Aldo Pontremoli”, University of Milano, via Celoria 16, 20133 Milano, Italy Cheinet, P LAC, Orsay Comparat, D LAC, Orsay Consolati, G INFN, Milan Milan Polytechnic Department of Aerospace Science and Technology, Politecnico di Milano, via La Masa 34, 20156 Milano, Italy Demetrio, A Kirchhoff Inst. Phys. Noto, L Di Genoa U. INFN, Genoa INFN Genova, via Dodecaneso 33, 16146 Genova, Italy Doser, M CERN Fanì, M CERN Genoa U. INFN, Genoa Department of Physics, University of Genova, via Dodecaneso 33, 16146 Genova, Italy Ferragut, R INFN, Milan Milan Polytechnic LNESS, Department of Physics, Politecnico di Milano, via Anzani 42, 22100 Como, Italy Fesel, J CERN Gerber, S CERN Giammarchi, M INFN, Milan Gligorova, A Stefan Meyer Inst. Subatomare Phys. Glöggler, L T CERN Guatieri, F Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Haider, S CERN Hinterberger, A CERN Kellerbauer, A Heidelberg, Max Planck Inst. Khalidova, O CERN Krasnický, D INFN, Genoa Lagomarsino, V INFN, Genoa Malbrunot, C INFN, Genoa Nowak, L CERN Mariazzi, S Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Matveev, V Moscow, INR Müller, S R Kirchhoff Inst. Phys. Nebbia, G INFN, Padua Nedelec, P IP2I, Lyon Oberthaler, M Kirchhoff Inst. Phys. Oswald, E CERN Pagano, D INFM, Brescia INFN, Pavia INFN Pavia, via Bassi 6, 27100 Pavia, Italy Penasa, L Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Petracek, V Prague, Tech. U. Povolo, L Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Prelz, F INFN, Milan Prevedelli, M U. Bologna (main) Rienäcker, B CERN Røhne, O M Oslo U. Rotondi, A INFN, Pavia Pavia U. Department of Physics, University of Pavia, via Bassi 6, 27100 Pavia, Italy Sandaker, H Oslo U. Santoro, R Insubria U., Como INFN, Milan INFN Milano, via Celoria 16, 20133 Milano, Italy Testera, G INFN, Genoa Toso, V INFN, Milan Milan Polytechnic LNESS, Department of Physics, Politecnico di Milano, via Anzani 42, 22100 Como, Italy Wolz, T CERN Yzombard, P Heidelberg, Max Planck Inst. Zimmer, C CERN Oslo U. Heidelberg U. Department of Physics, University of Oslo, Sem Slandsvei 24, 0371 Oslo, Norway Zurlo, N INFN, Pavia INFM, Brescia Department of Civil, Environmental, Architectural Engineering and Mathematics, University of Brescia, via Branze 43, 25123 Brescia, Italy 1813985 012025 1 C19-08-04.1 2020 J. Phys.: Conf. Ser. 1612 2277084 2170465 http://cds.cern.ch/record/2745103/files/Tietje_2020_J._Phys.__Conf._Ser._1612_012025.pdf Fulltext 2277084 6969 http://cds.cern.ch/record/2745103/files/Tietje_2020_J._Phys.__Conf._Ser._1612_012025.gif?subformat=icon icon Fulltext 2277084 73387 http://cds.cern.ch/record/2745103/files/Tietje_2020_J._Phys.__Conf._Ser._1612_012025.jpg?subformat=icon-700 icon-700 Fulltext 2277084 9708 http://cds.cern.ch/record/2745103/files/Tietje_2020_J._Phys.__Conf._Ser._1612_012025.jpg?subformat=icon-180 icon-180 Fulltext 13 2740788 bergenz20190804 012025 ARTICLE ConferencePaper 2744914 20260417061709.0 oai:cds.cern.ch:2744914 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI 10.1088/1475-7516/2021/03/043 arXiv oai:arXiv.org:2011.07819 oai:inspirehep.net:1830505 https://inspirehep.net/api/oai2d Inspire 2026-04-16T20:51:10Z 2026-04-17T02:00:56Z marcxml true Inspire 1830505 arXiv arXiv:2011.07819 astro-ph.HE eng Agnes, P. ROR:https://ror.org/048sx0r50 Houston U. Department of Physics, University of Houston, Houston, TX 77204, USA arXiv Sensitivity of future liquid argon dark matter search experiments to core-collapse supernova neutrinos 2021-03-15 2020-11-16 22 p arXiv 21 pages, 8 figures IOP Future liquid-argon DarkSide-20k and Argo detectors, designed for direct dark matter search, will be sensitive also to core-collapse supernova neutrinos, via coherent elastic neutrino-nucleus scattering. This interaction channel is flavor-insensitive with a high-cross section, enabling for a high-statistics neutrino detection with target masses of ∼50 t and ∼360 t for DarkSide-20k and Argo respectively. Thanks to the low-energy threshold of ∼0.5 keVnr achievable by exploiting the ionization channel, DarkSide-20k and Argo have the potential to discover supernova bursts throughout our galaxy and up to the Small Magellanic Cloud, respectively, assuming a 11-M☉ progenitor star. We report also on the sensitivity to the neutronization burst, whose electron neutrino flux is suppressed by oscillations when detected via charged current and elastic scattering. Finally, the accuracies in the reconstruction of the average and total neutrino energy in the different phases of the supernova burst, as well as its time profile, are also discussed, taking into account the expected background and the detector response. arXiv Future liquid-argon DarkSide-20k and ARGO detectors, designed for direct dark matter search, will be sensitive also to core-collapse supernova neutrinos, via coherent elastic neutrino-nucleus scattering. This interaction channel is flavor-insensitive with a high-cross section, enabling for a high-statistics neutrino detection with target masses of $\sim$50~t and $\sim$360~t for DarkSide-20k and ARGO, respectively. Thanks to the low-energy threshold of $\sim$0.5~keV$_{nr}$ achievable by exploiting the ionization channel, DarkSide-20k and ARGO have the potential to discover supernova bursts throughout our galaxy and up to the Small Magellanic Cloud, respectively, assuming a 11-M$_{\odot}$ progenitor star. We report also on the sensitivity to the neutronization burst, whose electron neutrino flux is suppressed by oscillations when detected via charged current and elastic scattering. Finally, the accuracies in the reconstruction of the average and total neutrino energy in the different phases of the supernova burst, as well as its time profile, are also discussed, taking into account the expected background and the detector response. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication © 2021 IOP Publishing Ltd and Sissa Medialab arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques arXiv astro-ph.IM SzGeCERN Astrophysics and Astronomy arXiv astro-ph.HE SzGeCERN Astrophysics and Astronomy CERN ARTICLE DarkSide 20k Albergo, S. ROR:https://ror.org/02pq29p90 ROR:https://ror.org/03a64bh57 INFN, Catania U. Catania (main) INFN Catania, Catania 95121, Italy Università of Catania, Catania 95124, Italy Albuquerque, I.F.M. ROR:https://ror.org/036rp1748 Sao Paulo U. Instituto de Física, Universidade de São Paulo, São Paulo 05508-090, Brazil Alexander, T. ROR:https://ror.org/05h992307 PNL, Richland Pacific Northwest National Laboratory, Richland, WA 99352, USA Alici, A. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 U. Bologna, DIFA INFN, Bologna Physics Department, Università degli Studi di Bologna, Bologna 40126, Italy INFN Bologna, Bologna 40126, Italy Alton, A.K. ROR:https://ror.org/03a3qwm26 Augustana Coll., Sioux Falls Physics Department, Augustana University, Sioux Falls, SD 57197, USA Amaudruz, P. ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, BC V6T 2A3, Canada Arcelli, S. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 U. Bologna, DIFA INFN, Bologna Physics Department, Università degli Studi di Bologna, Bologna 40126, Italy INFN Bologna, Bologna 40126, Italy Ave, M. ROR:https://ror.org/036rp1748 Sao Paulo U. Instituto de Física, Universidade de São Paulo, São Paulo 05508-090, Brazil Avetissov, I.Ch. Lomonosov Inst. Fine Chem. Tech. Mendeleev University of Chemical Technology, Moscow 125047, Russia Avetisov, R.I. Lomonosov Inst. Fine Chem. Tech. Mendeleev University of Chemical Technology, Moscow 125047, Russia Azzolini, O. ROR:https://ror.org/025e3ct30 INFN, Legnaro INFN Laboratori Nazionali di Legnaro, Legnaro (Padova) 35020, Italy Back, H.O. ROR:https://ror.org/05h992307 PNL, Richland Pacific Northwest National Laboratory, Richland, WA 99352, USA Balmforth, Z. ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham TW20 0EX, UK Barbarian, V. ROR:https://ror.org/010pmpe69 SINP, Moscow Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow 119234, Russia Barrado Olmedo, A. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Barrillon, P. ROR:https://ror.org/00fw8bp86 Marseille, CPPM Centre de Physique des Particules de Marseille, Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France Basco, A. ROR:https://ror.org/015kcdd40 INFN, Naples INFN Napoli, Napoli 80126, Italy Batignani, G. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Pisa, Pisa 56127, Italy Physics Department, Università degli Studi di Pisa, Pisa 56127, Italy Bondar, A. ROR:https://ror.org/03e5eem51 ROR:https://ror.org/04t2ss102 Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk 630090, Russia Novosibirsk State University, Novosibirsk 630090, Russia Bonivento, W.M. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Borisova, E. ROR:https://ror.org/03e5eem51 ROR:https://ror.org/04t2ss102 Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk 630090, Russia Novosibirsk State University, Novosibirsk 630090, Russia Bottino, B. ROR:https://ror.org/0107c5v14 ROR:https://ror.org/02v89pq06 Genoa U. INFN, Genoa Physics Department, Università degli Studi di Genova, Genova 16146, Italy INFN Genova, Genova 16146, Italy Boulay, M.G. ROR:https://ror.org/02qtvee93 Carleton U. Department of Physics, Carleton University, Ottawa, ON K1S 5B6, Canada Buccino, G. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research 1211 Geneve 23, Switzerland, CERN Bussino, S. ROR:https://ror.org/009wnjh50 ROR:https://ror.org/05vf0dg29 INFN, Rome3 Rome III U. INFN Roma Tre, Roma 00146, Italy Mathematics and Physics Department, Università degli Studi Roma Tre, Roma 00146, Italy Busto, J. ROR:https://ror.org/00fw8bp86 Marseille, CPPM Centre de Physique des Particules de Marseille, Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France Buzulutskov, A. ROR:https://ror.org/03e5eem51 ROR:https://ror.org/04t2ss102 Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk 630090, Russia Novosibirsk State University, Novosibirsk 630090, Russia Cadeddu, M. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy Cadoni, M. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy Caminata, A. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Genova, Genova 16146, Italy Canci, N. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Cappello, G. ROR:https://ror.org/02pq29p90 ROR:https://ror.org/03a64bh57 INFN, Catania U. Catania (main) INFN Catania, Catania 95121, Italy Università of Catania, Catania 95124, Italy Caravati, M. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Cárdenas-Montes, M. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Carlini, M. ROR:https://ror.org/043qcb444 GSSI, Aquila Gran Sasso Science Institute, L'Aquila 67100, Italy Carnesecchi, F. ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/01111rn36 INFN, Bologna Enrico Fermi Ctr., Rome U. Bologna, DIFA INFN Bologna, Bologna 40126, Italy Museo della fisica e Centro studi e Ricerche Enrico Fermi, Roma 00184, Italy Physics Department, Università degli Studi di Bologna, Bologna 40126, Italy Castello, P. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Department of Electrical and Electronic Engineering, Università degli Studi di Cagliari, Cagliari 09123, Italy INFN Cagliari, Cagliari 09042, Italy Catalanotti, S. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples Physics Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80126, Italy INFN Napoli, Napoli 80126, Italy Cataudella, V. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples Physics Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80126, Italy INFN Napoli, Napoli 80126, Italy Cavalcante, P. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Cavuoti, S. ROR:https://ror.org/015kcdd40 ROR:https://ror.org/02fwden70 Naples U. INFN, Naples Capodimonte Observ. Physics Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80126, Italy INFN Napoli, Napoli 80126, Italy INAF Osservatorio Astronomico di Capodimonte, 80131 Napoli, Italy Cebrian, S. ROR:https://ror.org/012a91z28 Zaragoza U. Centro de Astropartículas y Física de Altas Energías, Universidad de Zaragoza, Zaragoza 50009, Spain Cela Ruiz, J.M. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Celano, B. ROR:https://ror.org/015kcdd40 INFN, Naples INFN Napoli, Napoli 80126, Italy Chashin, S. ROR:https://ror.org/010pmpe69 SINP, Moscow Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow 119234, Russia Chepurnov, A. ROR:https://ror.org/010pmpe69 SINP, Moscow Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow 119234, Russia Chyhyrynets, E. Cicalò, C. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Cifarelli, L. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 U. Bologna, DIFA INFN, Bologna Physics Department, Università degli Studi di Bologna, Bologna 40126, Italy INFN Bologna, Bologna 40126, Italy Cintas, D. ROR:https://ror.org/012a91z28 Zaragoza U. Centro de Astropartículas y Física de Altas Energías, Universidad de Zaragoza, Zaragoza 50009, Spain Coccetti, F. Enrico Fermi Ctr., Rome Museo della fisica e Centro studi e Ricerche Enrico Fermi, Roma 00184, Italy Cocco, V. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Colocci, M. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 U. Bologna, DIFA INFN, Bologna Physics Department, Università degli Studi di Bologna, Bologna 40126, Italy INFN Bologna, Bologna 40126, Italy Conde Vilda, E. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Consiglio, L. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Copello, S. ROR:https://ror.org/02v89pq06 ROR:https://ror.org/0107c5v14 INFN, Genoa Genoa U. INFN Genova, Genova 16146, Italy Physics Department, Università degli Studi di Genova, Genova 16146, Italy Corning, J. Covone, G. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples Physics Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80126, Italy INFN Napoli, Napoli 80126, Italy Czudak, P. ROR:https://ror.org/03bqmcz70 Jagiellonian U. M. ~Smoluchowski Institute of Physics, Jagiellonian University, 30-348 Krakow, Poland D'Auria, S. ORCID:0000-0003-3393-6318 ROR:https://ror.org/04w4m6z96 INFN, Milan INFN Milano, Milano 20133, Italy Da Rocha Rolo, M. ROR:https://ror.org/01vj6ck58 INFN, Turin INFN Torino, Torino 10125, Italy Dadoun, O. Paris U., VI-VII LPNHE, CNRS/IN2P3, Sorbonne Université, Université Paris Diderot, Paris 75252, France Daniel, M. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Davini, S. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Genova, Genova 16146, Italy De Candia, A. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples Physics Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80126, Italy INFN Napoli, Napoli 80126, Italy De Cecco, S. ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. INFN Sezione di Roma, Roma 00185, Italy Physics Department, Sapienza Università di Roma, Roma 00185, Italy De Falco, A. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy De Filippis, G. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples Physics Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80126, Italy INFN Napoli, Napoli 80126, Italy De Gruttola, D. ROR:https://ror.org/0192m2k53 ROR:https://ror.org/043kfae87 Salerno U. INFN, Salerno Physics Department, Università degli Studi di Salerno, Salerno 84084, Italy INFN Salerno, Salerno 84084, Italy De Guido, G. Milan Polytechnic Chemistry, Materials and Chemical Engineering Department ``G. ~Natta", Politecnico di Milano, Milano 20133, Italy De Rosa, G. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples Physics Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80126, Italy INFN Napoli, Napoli 80126, Italy Della Valle, M. ROR:https://ror.org/015kcdd40 ROR:https://ror.org/02fwden70 INFN, Naples Capodimonte Observ. INFN Napoli, Napoli 80126, Italy INAF Osservatorio Astronomico di Capodimonte, 80131 Napoli, Italy Dellacasa, G. ROR:https://ror.org/01vj6ck58 INFN, Turin INFN Torino, Torino 10125, Italy De Pasquale, S. ROR:https://ror.org/0192m2k53 ROR:https://ror.org/043kfae87 Salerno U. INFN, Salerno Physics Department, Università degli Studi di Salerno, Salerno 84084, Italy INFN Salerno, Salerno 84084, Italy Derbin, A.V. ROR:https://ror.org/037styt87 St. Petersburg, INP Saint Petersburg Nuclear Physics Institute, Gatchina 188350, Russia Devoto, A. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy Di Noto, L. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Genova, Genova 16146, Italy Dionisi, C. ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. INFN Sezione di Roma, Roma 00185, Italy Physics Department, Sapienza Università di Roma, Roma 00185, Italy Di Stefano, P. ROR:https://ror.org/02y72wh86 Queen's U., Kingston Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, ON K7L 3N6, Canada Dolganov, G. ROR:https://ror.org/00n1nz186 Kurchatov Inst., Moscow National Research Centre Kurchatov Institute, Moscow 123182, Russia Dordei, F. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Doria, L. Downing, M. ROR:https://ror.org/0072zz521 Massachusetts U., Amherst Amherst Center for Fundamental Interactions and Physics Department, University of Massachusetts, Amherst, MA 01003, USA Erjavec, T. ROR:https://ror.org/05rrcem69 UC, Davis Department of Physics, University of California, Davis, CA 95616, USA Fernandez Diaz, M. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Fiorillo, G. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples Physics Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80126, Italy INFN Napoli, Napoli 80126, Italy Franceschi, A. ROR:https://ror.org/049jf1a25 Frascati INFN Laboratori Nazionali di Frascati, Frascati 00044, Italy Franco, D. ORCID:0000-0001-5604-2531 ROR:https://ror.org/03tnjrr49 APC, Paris APC, Université de Paris, CNRS, Astroparticule et Cosmologie, Paris F-75013, France Frolov, E. ROR:https://ror.org/03e5eem51 ROR:https://ror.org/04t2ss102 Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk 630090, Russia Novosibirsk State University, Novosibirsk 630090, Russia Funicello, N. ROR:https://ror.org/0192m2k53 ROR:https://ror.org/043kfae87 Salerno U. INFN, Salerno Physics Department, Università degli Studi di Salerno, Salerno 84084, Italy INFN Salerno, Salerno 84084, Italy Gabriele, F. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Galbiati, C. ROR:https://ror.org/00hx57361 ROR:https://ror.org/02s8k0k61 ROR:https://ror.org/043qcb444 Princeton U. Gran Sasso GSSI, Aquila Physics Department, Princeton University, Princeton, NJ 08544, USA INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Gran Sasso Science Institute, L'Aquila 67100, Italy Garbini, M. ROR:https://ror.org/04j0x0h93 Enrico Fermi Ctr., Rome INFN, Bologna Museo della fisica e Centro studi e Ricerche Enrico Fermi, Roma 00184, Italy INFN Bologna, Bologna 40126, Italy Garcia Abia, P. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Gendotti, A. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics, ETH Zürich, Zürich 8093, Switzerland Ghiano, C. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Giampaolo, R.A. ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/00bgk9508 INFN, Turin Turin Polytechnic INFN Torino, Torino 10125, Italy Department of Electronics and Communications, Politecnico di Torino, Torino 10129, Italy Giganti, C. Paris U., VI-VII LPNHE, CNRS/IN2P3, Sorbonne Université, Université Paris Diderot, Paris 75252, France Giorgi, M.A. ROR:https://ror.org/03ad39j10 ROR:https://ror.org/05symbg58 Pisa U. INFN, Pisa Physics Department, Università degli Studi di Pisa, Pisa 56127, Italy INFN Pisa, Pisa 56127, Italy Giovanetti, G.K. ORCID:0000-0002-3125-0550 Williams Coll. Williams College, Physics Department, Williamstown, MA 01267 USA Goicoechea Casanueva, V. ROR:https://ror.org/01wspgy28 Hawaii U. Department of Physics and Astronomy, University of Hawai'i, Honolulu, HI 96822, USA Gola, A. ROR:https://ror.org/00nhs3j29 Fond. Bruno Kessler, Povo TIFPA-INFN, Trento Fondazione Bruno Kessler, Povo 38123, Italy Trento Institute for Fundamental Physics and Applications, Povo 38123, Italy Graciani Diaz, R. ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Universiatat de Barcelona, Barcelona E-08028, Catalonia, Spain Grigoriev, G.Y. ROR:https://ror.org/00n1nz186 Kurchatov Inst., Moscow National Research Centre Kurchatov Institute, Moscow 123182, Russia Grobov, A. ROR:https://ror.org/00n1nz186 ROR:https://ror.org/04w8z7f34 Kurchatov Inst., Moscow Moscow Phys. Eng. Inst. National Research Centre Kurchatov Institute, Moscow 123182, Russia National Research Nuclear University MEPhI, Moscow 115409, Russia Gromov, M. ROR:https://ror.org/010pmpe69 ROR:https://ror.org/044yd9t77 SINP, Moscow Dubna, JINR Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow 119234, Russia Joint Institute for Nuclear Research, Dubna 141980, Russia Guan, M. ROR:https://ror.org/03v8tnc06 Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Beijing 100049, China Guerzoni, M. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Bologna, Bologna 40126, Italy Gulino, M. ROR:https://ror.org/02k1zhm92 Libera U. Kore INFN, LNS Engineering and Architecture Faculty, Università di Enna Kore, Enna 94100, Italy INFN Laboratori Nazionali del Sud, Catania 95123, Italy Guo, C. ROR:https://ror.org/03v8tnc06 Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Beijing 100049, China Hackett, B.R. ROR:https://ror.org/05h992307 PNL, Richland Pacific Northwest National Laboratory, Richland, WA 99352, USA Hallin, A. ROR:https://ror.org/0160cpw27 Alberta U. Department of Physics, University of Alberta, Edmonton, AB T6G 2R3, Canada Haranczyk, M. ROR:https://ror.org/03bqmcz70 Jagiellonian U. M. ~Smoluchowski Institute of Physics, Jagiellonian University, 30-348 Krakow, Poland Hill, S. ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham TW20 0EX, UK Horikawa, S. ROR:https://ror.org/043qcb444 ROR:https://ror.org/02s8k0k61 GSSI, Aquila Gran Sasso Gran Sasso Science Institute, L'Aquila 67100, Italy INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Hubaut, F. ROR:https://ror.org/00fw8bp86 Marseille, CPPM Centre de Physique des Particules de Marseille, Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France Hugues, T. ORCID:0000-0002-4895-8897 Warsaw, Copernicus Astron. Ctr. AstroCeNT, Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences, 00-614 Warsaw, Poland Hungerford, E.V. ROR:https://ror.org/048sx0r50 Houston U. Department of Physics, University of Houston, Houston, TX 77204, USA Ianni, An. ROR:https://ror.org/00hx57361 ROR:https://ror.org/02s8k0k61 Princeton U. Gran Sasso Physics Department, Princeton University, Princeton, NJ 08544, USA INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Ippolito, V. ROR:https://ror.org/05eva6s33 INFN, Rome INFN Sezione di Roma, Roma 00185, Italy James, C.C. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, IL 60510, USA Jillings, C. ROR:https://ror.org/04ys6zh37 ROR:https://ror.org/03rcwtr18 SNOLAB, Lively Laurentian U. SNOLAB, Lively, ON P3Y 1N2, Canada Department of Physics and Astronomy, Laurentian University, Sudbury, ON P3E 2C6, Canada Kachru, P. ROR:https://ror.org/043qcb444 ROR:https://ror.org/02s8k0k61 GSSI, Aquila Gran Sasso Gran Sasso Science Institute, L'Aquila 67100, Italy INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Kemp, A.A. ROR:https://ror.org/02y72wh86 Queen's U., Kingston Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, ON K7L 3N6, Canada Kendziora, C.L. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, IL 60510, USA Keppel, G. ROR:https://ror.org/025e3ct30 INFN, Legnaro INFN Laboratori Nazionali di Legnaro, Legnaro (Padova) 35020, Italy Khomyakov, A.V. Lomonosov Inst. Fine Chem. Tech. Mendeleev University of Chemical Technology, Moscow 125047, Russia Kim, S. ROR:https://ror.org/00kx1jb78 Temple U. Physics Department, Temple University, Philadelphia, PA 19122, USA Kish, A. ORCID:0000-0002-1648-3727 ROR:https://ror.org/01wspgy28 Hawaii U. Department of Physics and Astronomy, University of Hawai'i, Honolulu, HI 96822, USA Kochanek, I. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Kondo, K. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Korga, G. ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham TW20 0EX, UK Kubankin, A. Belgorod State U. Radiation Physics Laboratory, Belgorod National Research University, Belgorod 308007, Russia Kugathasan, R. ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/00bgk9508 INFN, Turin Turin Polytechnic INFN Torino, Torino 10125, Italy Department of Electronics and Communications, Politecnico di Torino, Torino 10129, Italy Kuss, M. ROR:https://ror.org/05symbg58 INFN, Pisa INFN Pisa, Pisa 56127, Italy Kuźniak, M. Warsaw, Copernicus Astron. Ctr. AstroCeNT, Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences, 00-614 Warsaw, Poland La Commara, M. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples Pharmacy Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80131, Italy INFN Napoli, Napoli 80126, Italy Lai, M. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 ROR:https://ror.org/03tnjrr49 Cagliari U. INFN, Cagliari APC, Paris Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy APC, Université de Paris, CNRS, Astroparticule et Cosmologie, Paris F-75013, France Langrock, S. ROR:https://ror.org/03rcwtr18 Laurentian U. Department of Physics and Astronomy, Laurentian University, Sudbury, ON P3E 2C6, Canada Leyton, M. ROR:https://ror.org/015kcdd40 INFN, Naples INFN Napoli, Napoli 80126, Italy Li, X. ROR:https://ror.org/00hx57361 Princeton U. Physics Department, Princeton University, Princeton, NJ 08544, USA Lidey, L. ROR:https://ror.org/05h992307 PNL, Richland Pacific Northwest National Laboratory, Richland, WA 99352, USA Lissia, M. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Longo, G. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples Physics Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80126, Italy INFN Napoli, Napoli 80126, Italy Machulin, I.N. ROR:https://ror.org/00n1nz186 ROR:https://ror.org/04w8z7f34 Kurchatov Inst., Moscow Moscow Phys. Eng. Inst. National Research Centre Kurchatov Institute, Moscow 123182, Russia National Research Nuclear University MEPhI, Moscow 115409, Russia Mapelli, L. ROR:https://ror.org/00hx57361 Princeton U. Physics Department, Princeton University, Princeton, NJ 08544, USA Marasciulli, A. ROR:https://ror.org/03ad39j10 Pisa U. Physics Department, Università degli Studi di Pisa, Pisa 56127, Italy Margotti, A. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Bologna, Bologna 40126, Italy Mari, S.M. ROR:https://ror.org/009wnjh50 ROR:https://ror.org/05vf0dg29 INFN, Rome3 Rome III U. INFN Roma Tre, Roma 00146, Italy Mathematics and Physics Department, Università degli Studi Roma Tre, Roma 00146, Italy Maricic, J. ROR:https://ror.org/01wspgy28 Hawaii U. Department of Physics and Astronomy, University of Hawai'i, Honolulu, HI 96822, USA Martínez, M. ROR:https://ror.org/012a91z28 Zaragoza U. ARAID, Zaragoza Centro de Astropartículas y Física de Altas Energías, Universidad de Zaragoza, Zaragoza 50009, Spain Fundación ARAID, Universidad de Zaragoza, Zaragoza 50009, Spain Martinez Rojas, A.D. ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/00bgk9508 INFN, Turin Turin Polytechnic INFN Torino, Torino 10125, Italy Department of Electronics and Communications, Politecnico di Torino, Torino 10129, Italy Martoff, C.J. ROR:https://ror.org/00kx1jb78 Temple U. Physics Department, Temple University, Philadelphia, PA 19122, USA Masoni, A. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Mazzi, A. ROR:https://ror.org/00nhs3j29 Fond. Bruno Kessler, Povo TIFPA-INFN, Trento Fondazione Bruno Kessler, Povo 38123, Italy Trento Institute for Fundamental Physics and Applications, Povo 38123, Italy McDonald, A.B. ROR:https://ror.org/02y72wh86 Queen's U., Kingston Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, ON K7L 3N6, Canada Mclaughlin, J. ROR:https://ror.org/03kgj4539 ROR:https://ror.org/04g2vpn86 TRIUMF Royal Holloway, U. of London TRIUMF, 4004 Wesbrook Mall, Vancouver, BC V6T 2A3, Canada Department of Physics, Royal Holloway University of London, Egham TW20 0EX, UK Messina, A. ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. INFN Sezione di Roma, Roma 00185, Italy Physics Department, Sapienza Università di Roma, Roma 00185, Italy Meyers, P.D. ROR:https://ror.org/00hx57361 Princeton U. Physics Department, Princeton University, Princeton, NJ 08544, USA Miletic, T. ROR:https://ror.org/01wspgy28 Hawaii U. Department of Physics and Astronomy, University of Hawai'i, Honolulu, HI 96822, USA Milincic, R. ROR:https://ror.org/01wspgy28 Hawaii U. Department of Physics and Astronomy, University of Hawai'i, Honolulu, HI 96822, USA Moggi, A. ROR:https://ror.org/05symbg58 INFN, Pisa INFN Pisa, Pisa 56127, Italy Moharana, A. ORCID:0000-0003-2612-3247 ROR:https://ror.org/043qcb444 ROR:https://ror.org/02s8k0k61 GSSI, Aquila Gran Sasso Gran Sasso Science Institute, L'Aquila 67100, Italy INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Moioli, S. Milan Polytechnic Chemistry, Materials and Chemical Engineering Department ``G. ~Natta", Politecnico di Milano, Milano 20133, Italy Monroe, J. ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham TW20 0EX, UK Morisi, S. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples Physics Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80126, Italy INFN Napoli, Napoli 80126, Italy Morrocchi, M. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Pisa, Pisa 56127, Italy Physics Department, Università degli Studi di Pisa, Pisa 56127, Italy Mozhevitina, E.N. Lomonosov Inst. Fine Chem. Tech. Mendeleev University of Chemical Technology, Moscow 125047, Russia Mróz, T. ROR:https://ror.org/03bqmcz70 Jagiellonian U. M. ~Smoluchowski Institute of Physics, Jagiellonian University, 30-348 Krakow, Poland Muratova, V.N. ROR:https://ror.org/037styt87 St. Petersburg, INP Saint Petersburg Nuclear Physics Institute, Gatchina 188350, Russia Muscas, C. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Department of Electrical and Electronic Engineering, Università degli Studi di Cagliari, Cagliari 09123, Italy INFN Cagliari, Cagliari 09042, Italy Musenich, L. ROR:https://ror.org/02v89pq06 ROR:https://ror.org/0107c5v14 INFN, Genoa Genoa U. INFN Genova, Genova 16146, Italy Physics Department, Università degli Studi di Genova, Genova 16146, Italy Musico, P. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Genova, Genova 16146, Italy Nania, R. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Bologna, Bologna 40126, Italy Napolitano, T. ROR:https://ror.org/049jf1a25 Frascati INFN Laboratori Nazionali di Frascati, Frascati 00044, Italy Navrer Agasson, A. Paris U., VI-VII LPNHE, CNRS/IN2P3, Sorbonne Université, Université Paris Diderot, Paris 75252, France Nessi, M. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research 1211 Geneve 23, Switzerland, CERN Nikulin, I. Belgorod State U. Radiation Physics Laboratory, Belgorod National Research University, Belgorod 308007, Russia Nowak, J. ROR:https://ror.org/04f2nsd36 Lancaster U. Physics Department, Lancaster University, Lancaster LA1 4YB, UK Oleinik, A. Belgorod State U. Radiation Physics Laboratory, Belgorod National Research University, Belgorod 308007, Russia Oleynikov, V. ROR:https://ror.org/03e5eem51 ROR:https://ror.org/04t2ss102 Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk 630090, Russia Novosibirsk State University, Novosibirsk 630090, Russia Pagani, L. ORCID:0000-0002-3469-2581 ROR:https://ror.org/05rrcem69 UC, Davis Department of Physics, University of California, Davis, CA 95616, USA Pallavicini, M. ROR:https://ror.org/0107c5v14 ROR:https://ror.org/02v89pq06 Genoa U. INFN, Genoa Physics Department, Università degli Studi di Genova, Genova 16146, Italy INFN Genova, Genova 16146, Italy Pandola, L. ROR:https://ror.org/02k1zhm92 INFN, LNS INFN Laboratori Nazionali del Sud, Catania 95123, Italy Pantic, E. ROR:https://ror.org/05rrcem69 UC, Davis Department of Physics, University of California, Davis, CA 95616, USA Paoloni, E. ORCID:0000-0001-5969-8712 ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Pisa, Pisa 56127, Italy Physics Department, Università degli Studi di Pisa, Pisa 56127, Italy Paternoster, G. ROR:https://ror.org/00nhs3j29 Fond. Bruno Kessler, Povo TIFPA-INFN, Trento Fondazione Bruno Kessler, Povo 38123, Italy Trento Institute for Fundamental Physics and Applications, Povo 38123, Italy Pegoraro, P.A. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Department of Electrical and Electronic Engineering, Università degli Studi di Cagliari, Cagliari 09123, Italy INFN Cagliari, Cagliari 09042, Italy Pelczar, K. ROR:https://ror.org/03bqmcz70 Jagiellonian U. M. ~Smoluchowski Institute of Physics, Jagiellonian University, 30-348 Krakow, Poland Pellegrini, L.A. Milan Polytechnic Chemistry, Materials and Chemical Engineering Department ``G. ~Natta", Politecnico di Milano, Milano 20133, Italy Pellegrino, C. ROR:https://ror.org/04j0x0h93 INFN, Bologna Enrico Fermi Ctr., Rome INFN Bologna, Bologna 40126, Italy Museo della fisica e Centro studi e Ricerche Enrico Fermi, Roma 00184, Italy Perotti, F. ROR:https://ror.org/04w4m6z96 Milan Polytechnic INFN, Milan Civil and Environmental Engineering Department, Politecnico di Milano, Milano 20133, Italy INFN Milano, Milano 20133, Italy Pesudo, V. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Picciau, E. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy Pietropaolo, F. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research 1211 Geneve 23, Switzerland, CERN Pira, C. Pocar, A. ROR:https://ror.org/0072zz521 Massachusetts U., Amherst Amherst Center for Fundamental Interactions and Physics Department, University of Massachusetts, Amherst, MA 01003, USA Poehlmann, D.M. ROR:https://ror.org/05rrcem69 UC, Davis Department of Physics, University of California, Davis, CA 95616, USA Pordes, S. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, IL 60510, USA Poudel, S.S. ROR:https://ror.org/048sx0r50 Houston U. Department of Physics, University of Houston, Houston, TX 77204, USA Pralavorio, P. ROR:https://ror.org/00fw8bp86 Marseille, CPPM Centre de Physique des Particules de Marseille, Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France Price, D. ORCID:0000-0003-2750-9977 ROR:https://ror.org/027m9bs27 Manchester U. Department of Physics and Astronomy, The University of Manchester, Manchester M13 9PL, UK Raffaelli, F. ROR:https://ror.org/05symbg58 INFN, Pisa INFN Pisa, Pisa 56127, Italy Ragusa, F. ROR:https://ror.org/00wjc7c48 ROR:https://ror.org/04w4m6z96 Milan U. INFN, Milan Physics Department, Università degli Studi di Milano, Milano 20133, Italy INFN Milano, Milano 20133, Italy Ramirez, A. ROR:https://ror.org/048sx0r50 Houston U. Department of Physics, University of Houston, Houston, TX 77204, USA Razeti, M. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Razeto, A. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Renshaw, A.L. ROR:https://ror.org/048sx0r50 Houston U. Department of Physics, University of Houston, Houston, TX 77204, USA Rescia, S. ROR:https://ror.org/02ex6cf31 Brookhaven Brookhaven National Laboratory, Upton, NY 11973, USA Rescigno, M. ROR:https://ror.org/05eva6s33 INFN, Rome INFN Sezione di Roma, Roma 00185, Italy Resnati, F. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research 1211 Geneve 23, Switzerland, CERN Retiere, F. ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, BC V6T 2A3, Canada Rignanese, L.P. ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/01111rn36 INFN, Bologna U. Bologna, DIFA INFN Bologna, Bologna 40126, Italy Physics Department, Università degli Studi di Bologna, Bologna 40126, Italy Ripoli, C. ROR:https://ror.org/043kfae87 ROR:https://ror.org/0192m2k53 INFN, Salerno Salerno U. INFN Salerno, Salerno 84084, Italy Physics Department, Università degli Studi di Salerno, Salerno 84084, Italy Rivetti, A. ROR:https://ror.org/01vj6ck58 INFN, Turin INFN Torino, Torino 10125, Italy Rode, J. ROR:https://ror.org/03tnjrr49 Paris U., VI-VII APC, Paris LPNHE, CNRS/IN2P3, Sorbonne Université, Université Paris Diderot, Paris 75252, France APC, Université de Paris, CNRS, Astroparticule et Cosmologie, Paris F-75013, France Romero, L. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Rossi, M. ORCID:0009-0002-7636-6802 ROR:https://ror.org/02v89pq06 ROR:https://ror.org/0107c5v14 INFN, Genoa Genoa U. INFN Genova, Genova 16146, Italy Physics Department, Università degli Studi di Genova, Genova 16146, Italy Rubbia, A. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics, ETH Zürich, Zürich 8093, Switzerland Salatino, P. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples Chemical, Materials, and Industrial Production Engineering Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80126, Italy INFN Napoli, Napoli 80126, Italy Samoylov, O. ROR:https://ror.org/044yd9t77 Dubna, JINR Joint Institute for Nuclear Research, Dubna 141980, Russia Sánchez García, E. ORCID:0000-0001-8014-4079 ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Sandford, E. ORCID:0000-0002-0245-8619 ROR:https://ror.org/027m9bs27 Manchester U. Department of Physics and Astronomy, The University of Manchester, Manchester M13 9PL, UK Sanfilippo, S. ROR:https://ror.org/05vf0dg29 ROR:https://ror.org/009wnjh50 Rome III U. INFN, Rome3 Mathematics and Physics Department, Università degli Studi Roma Tre, Roma 00146, Italy INFN Roma Tre, Roma 00146, Italy Santone, D. ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham TW20 0EX, UK Santorelli, R. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Savarese, C. ROR:https://ror.org/00hx57361 Princeton U. Physics Department, Princeton University, Princeton, NJ 08544, USA Scapparone, E. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Bologna, Bologna 40126, Italy Schlitzer, B. ROR:https://ror.org/05rrcem69 UC, Davis Department of Physics, University of California, Davis, CA 95616, USA Scioli, G. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 U. Bologna, DIFA INFN, Bologna Physics Department, Università degli Studi di Bologna, Bologna 40126, Italy INFN Bologna, Bologna 40126, Italy Semenov, D.A. ROR:https://ror.org/037styt87 St. Petersburg, INP Saint Petersburg Nuclear Physics Institute, Gatchina 188350, Russia Shaw, B. ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, BC V6T 2A3, Canada Shchagin, A. Belgorod State U. Radiation Physics Laboratory, Belgorod National Research University, Belgorod 308007, Russia Sheshukov, A. ROR:https://ror.org/044yd9t77 Dubna, JINR Joint Institute for Nuclear Research, Dubna 141980, Russia Simeone, M. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples Chemical, Materials, and Industrial Production Engineering Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80126, Italy INFN Napoli, Napoli 80126, Italy Skensved, P. ROR:https://ror.org/02y72wh86 Queen's U., Kingston Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, ON K7L 3N6, Canada Skorokhvatov, M.D. ROR:https://ror.org/00n1nz186 ROR:https://ror.org/04w8z7f34 Kurchatov Inst., Moscow Moscow Phys. Eng. Inst. National Research Centre Kurchatov Institute, Moscow 123182, Russia National Research Nuclear University MEPhI, Moscow 115409, Russia Smirnov, O. ROR:https://ror.org/044yd9t77 Dubna, JINR Joint Institute for Nuclear Research, Dubna 141980, Russia Smith, B. ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, BC V6T 2A3, Canada Sokolov, A. ROR:https://ror.org/03e5eem51 ROR:https://ror.org/04t2ss102 Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk 630090, Russia Novosibirsk State University, Novosibirsk 630090, Russia Steri, A. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Stracka, S. ROR:https://ror.org/05symbg58 INFN, Pisa INFN Pisa, Pisa 56127, Italy Strickland, V. ROR:https://ror.org/02qtvee93 Carleton U. Department of Physics, Carleton University, Ottawa, ON K1S 5B6, Canada Stringer, M. ROR:https://ror.org/02y72wh86 Queen's U., Kingston Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, ON K7L 3N6, Canada Sulis, S. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Department of Electrical and Electronic Engineering, Università degli Studi di Cagliari, Cagliari 09123, Italy INFN Cagliari, Cagliari 09042, Italy Suvorov, Y. ROR:https://ror.org/015kcdd40 ROR:https://ror.org/00n1nz186 Naples U. INFN, Naples Kurchatov Inst., Moscow Physics Department, Università degli Studi ``Federico II'' di Napoli, Napoli 80126, Italy INFN Napoli, Napoli 80126, Italy National Research Centre Kurchatov Institute, Moscow 123182, Russia Szelc, A.M. ROR:https://ror.org/027m9bs27 Manchester U. Department of Physics and Astronomy, The University of Manchester, Manchester M13 9PL, UK Tartaglia, R. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Testera, G. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Genova, Genova 16146, Italy Thorpe, T.N. ROR:https://ror.org/043qcb444 ROR:https://ror.org/02s8k0k61 GSSI, Aquila Gran Sasso Gran Sasso Science Institute, L'Aquila 67100, Italy INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Tonazzo, A. ROR:https://ror.org/03tnjrr49 APC, Paris APC, Université de Paris, CNRS, Astroparticule et Cosmologie, Paris F-75013, France Torres-Lara, S. ROR:https://ror.org/048sx0r50 Houston U. Department of Physics, University of Houston, Houston, TX 77204, USA Tricomi, A. ROR:https://ror.org/02pq29p90 ROR:https://ror.org/03a64bh57 INFN, Catania U. Catania (main) INFN Catania, Catania 95121, Italy Università of Catania, Catania 95124, Italy Unzhakov, E.V. ROR:https://ror.org/037styt87 St. Petersburg, INP Saint Petersburg Nuclear Physics Institute, Gatchina 188350, Russia Usai, G. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy Vallivilayil John, T. ORCID:0009-0008-5049-4199 ROR:https://ror.org/043qcb444 ROR:https://ror.org/02s8k0k61 GSSI, Aquila Gran Sasso Gran Sasso Science Institute, L'Aquila 67100, Italy INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Viant, T. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics, ETH Zürich, Zürich 8093, Switzerland Viel, S. ORCID:0000-0001-9554-4059 ROR:https://ror.org/02qtvee93 Carleton U. Department of Physics, Carleton University, Ottawa, ON K1S 5B6, Canada Vishneva, A. ROR:https://ror.org/044yd9t77 Dubna, JINR Joint Institute for Nuclear Research, Dubna 141980, Russia Vogelaar, R.B. ROR:https://ror.org/02smfhw86 Virginia Tech. Virginia Tech, Blacksburg, VA 24061, USA Wada, M. ORCID:0000-0002-6414-6944 Warsaw, Copernicus Astron. Ctr. AstroCeNT, Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences, 00-614 Warsaw, Poland Wang, H. ROR:https://ror.org/046rm7j60 UCLA Physics and Astronomy Department, University of California, Los Angeles, CA 90095, USA Wang, Y. ROR:https://ror.org/046rm7j60 UCLA Physics and Astronomy Department, University of California, Los Angeles, CA 90095, USA Westerdale, S. ORCID:0000-0001-8824-6205 ROR:https://ror.org/03paz5966 INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Wheadon, R.J. ROR:https://ror.org/01vj6ck58 INFN, Turin INFN Torino, Torino 10125, Italy Williams, L. Fort Lewis Coll. Department of Physics and Engineering, Fort Lewis College, Durango, CO 81301, USA Wojcik, Ma.M. ROR:https://ror.org/03bqmcz70 Jagiellonian U. M. ~Smoluchowski Institute of Physics, Jagiellonian University, 30-348 Krakow, Poland Wojcik, Ma. ROR:https://ror.org/00s8fpf52 Lodz, Tech. U. Institute of Applied Radiation Chemistry, Lodz University of Technology, 93-590 Lodz, Poland Xiao, X. ROR:https://ror.org/046rm7j60 UCLA Physics and Astronomy Department, University of California, Los Angeles, CA 90095, USA Yang, C. ROR:https://ror.org/03v8tnc06 Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Beijing 100049, China Ye, Z. Zani, A. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research 1211 Geneve 23, Switzerland, CERN Zichichi, A. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 U. Bologna, DIFA INFN, Bologna Physics Department, Università degli Studi di Bologna, Bologna 40126, Italy INFN Bologna, Bologna 40126, Italy Zuzel, G. ROR:https://ror.org/03bqmcz70 Jagiellonian U. M. ~Smoluchowski Institute of Physics, Jagiellonian University, 30-348 Krakow, Poland Zykova, M.P. Lomonosov Inst. Fine Chem. Tech. Mendeleev University of Chemical Technology, Moscow 125047, Russia DarkSide 20k Collaboration 043 JCAP 2103 2021 https://lss.fnal.gov/archive/2020/pub/fermilab-pub-20-601-nd-ppd.pdf Fermilab Library Server (fulltext available) 2265252 38699 http://cds.cern.ch/record/2744914/files/toys_full.png 00010 Examples of fit of two toy Monte Carlo neutrino interaction samples in \DSk\ (left) and \Argo\ (right), generated in the [0.02, 8]~s time range, corresponding to the accretion and cooling phases from a 27 M$_{\odot}$ SN burst at 10~kpc. 2265253 2530814 http://cds.cern.ch/record/2744914/files/2011.07819.pdf Fulltext 2265254 31542 http://cds.cern.ch/record/2744914/files/enespectrum.png 00002 Time evolutions of neutrino luminosity (top) and mean energy (middle) and energy spectrum (bottom) from a core-collapse \LargeSolarMass\ SN for the different neutrino species, using Garching group 1-d simulations \cite{Bruenn_etal_2013}. 2265255 18746 http://cds.cern.ch/record/2744914/files/flux.png 00009 Time profile of neutrinos from the accretion (left) and cooling (right) phases of a 27-M$_{\odot}$ SN at 10 kpc distance, as detected by \DSk\ and \Argo. The bands represent the statistical uncertainty. 2265256 14754 http://cds.cern.ch/record/2744914/files/efficiency.png 00006 Neutrino detection efficiency via \CEnNS\ as a function of neutrino energy, for different \nel\ thresholds and below 100~\nel. 2265257 10333 http://cds.cern.ch/record/2744914/files/ne_spectra.png 00004 Top. Energy spectrum in number of ionization electrons (\nel) per unit of mass of neutrinos from 11-M$_{\odot}$ and 27-M$_{\odot}$ SNe and background from single electron events, \ArThirtyNine\ decays and external background from SiPMs. Bottom. Time evolution of signal and all background components (external background as expected in \Argo) by selecting events in the [3,100]~\nel\ energy range. 2265258 9856 http://cds.cern.ch/record/2744914/files/ne_timing.png 00005 Top. Energy spectrum in number of ionization electrons (\nel) per unit of mass of neutrinos from 11-M$_{\odot}$ and 27-M$_{\odot}$ SNe and background from single electron events, \ArThirtyNine\ decays and external background from SiPMs. Bottom. Time evolution of signal and all background components (external background as expected in \Argo) by selecting events in the [3,100]~\nel\ energy range. 2265259 35869 http://cds.cern.ch/record/2744914/files/meanEne.png 00001 Time evolutions of neutrino luminosity (top) and mean energy (middle) and energy spectrum (bottom) from a core-collapse \LargeSolarMass\ SN for the different neutrino species, using Garching group 1-d simulations \cite{Bruenn_etal_2013}. 2265260 30706 http://cds.cern.ch/record/2744914/files/Lumi.png 00000 Time evolutions of neutrino luminosity (top) and mean energy (middle) and energy spectrum (bottom) from a core-collapse \LargeSolarMass\ SN for the different neutrino species, using Garching group 1-d simulations \cite{Bruenn_etal_2013}. 2265261 15882 http://cds.cern.ch/record/2744914/files/sn_reco.png 00011 \DSk\ and \Argo\ sensitivities to mean and integrated neutrino energies of a 27 M$_{\odot}$ SN burst at 10~kpc in the [0.1, 1]~s and [0.02, 8]~s. The two parameters are obtained by fitting 5$\times$10$^4$ toy MC samples with $\alpha_{T}$ equals to 2.3 and 2.0, with respect to each time range. Red crosses represent the true values from the Garching simulation. 2265262 11504 http://cds.cern.ch/record/2744914/files/c2_r.png 00003 Nuclear recoil energy spectrum from neutrino interactions in LAr via \CEnNS\ from a core-collapse \LargeSolarMass\ supernova at \DSkSupernovaBaseline. 2265263 44054 http://cds.cern.ch/record/2744914/files/discovery_burst.png 00008 Top. \DSk\ and \Argo\ significance to 11-M$_{\odot}$ and 27-M$_{\odot}$ SNe (top) and to its neutronization burst only (bottom), as a function of the distance, assuming the standard background hypothesis (solid line) and (band) lower contamination of $^{39}$Ar up to a factor of 10 less. Vertical lines represent the distance from the Earth of the Milky Way center and farthest edge, and of Large (LMC) and Small (SMC) Magellanic Clouds. 2265264 54318 http://cds.cern.ch/record/2744914/files/discovery.png 00007 Top. \DSk\ and \Argo\ significance to 11-M$_{\odot}$ and 27-M$_{\odot}$ SNe (top) and to its neutronization burst only (bottom), as a function of the distance, assuming the standard background hypothesis (solid line) and (band) lower contamination of $^{39}$Ar up to a factor of 10 less. Vertical lines represent the distance from the Earth of the Milky Way center and farthest edge, and of Large (LMC) and Small (SMC) Magellanic Clouds. 2278263 2545992 http://cds.cern.ch/record/2744914/files/fermilab-pub-20-601-nd-ppd.pdf Fulltext 13 ARTICLE 2744840 SzGeCERN 20210421184451.0 9781000093674 electronic version electronic version 9780367895570 print version oai:cds.cern.ch:2744840 cerncds:BOOK EBL 6232495 eng HD30.2 .M363 2021 658.4038 Paliszkiewicz, Joanna Management in the era of big data issues and challenges Milton Auerbach Publishers 2020 249 p ebook Data analytics applications Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Foreword -- Foreword -- Preface -- Editor -- Contributors -- Section I: Big Data and Management: Theoretical Foundations -- 1 Big Data Analytics: Innovation Management and Value Creation -- 1.1 Introduction -- 1.2 Research Method -- 1.3 Big Data Analytics: The Innovation Driver -- 1.4 Value Creation through Innovation -- 1.4.1 Creating Value for an Organization Using Information Resources and ICT -- 1.4.2 Creating Value for the Consumer through Innovation -- 1.4.3 Value Creation through Innovation: Conceptual Model -- 1.5 Conclusions -- References -- 2 Human Resource Management in the Era of Big Data -- 2.1 Introduction -- 2.2 Influence of Big Data on HRM -- 2.3 HRM and Big Data As a Subject of Interests -- 2.4 Results of the Analysis -- 2.5 Conclusions and Future Research -- References -- 3 Knowledge Management and Big Data in Business -- 3.1 Introduction -- 3.2 Situation and Challenges in Theory and Practice of Knowledge Management in the Era of the Big Data -- 3.3 Evidence-Based Management versus Knowledge Management in the Big Data Era -- 3.4 Improvement of Business Processes Using the Management Concept Based on Big Data -- 3.5 Improving Student Onboarding Using the Knowledge Management Conception Based on Big Data Analysis and Gamification -- 3.5.1 Situation Analysis -- 3.5.2 Shortcomings of the Current Onboarding System -- 3.5.3 The Conception of Student Onboarding Improvement Using Big Data Acquired in the Serious Game -- 3.6 Conclusion -- References -- 4 Information Management and the Role of Information Technology in a Big Data Era -- 4.1 Introduction -- 4.2 The Big Data Perspective -- 4.3 Literature Review and Synthesis -- 4.4 Information Management in the Big Data Perspective. 4.4.1 Information System and Managerial Information System -- 4.4.2 Decision-Making Processes and Decision-Makers -- 4.4.3 Organization Culture -- 4.5 Role of Information Technologies in the Era of Big Data -- 4.5.1 Date Warehouses -- 4.5.2 Distributed and Parallel Processing of Big Data Sets -- 4.5.3 Machine Learning -- 4.6 Conclusions -- References -- 5 Financial Management in the Big Data Era -- 5.1 Introduction -- 5.2 Big Data Characteristics in Financial Management -- 5.3 Implementation of Big Data Technologies for Supporting Financial Management Decision -- 5.3.1 Financial and Non-Financial Organizations -- 5.3.1.1 Financial Institutions -- 5.3.1.2 Non-Financial Companies -- 5.3.2 Capital Market Investments -- 5.3.3 Risk Management -- 5.3.4 Financial Markets -- 5.3.5 Accounting Data Processing -- 5.3.6 Budget Management -- 5.3.7 Controlling and Audits -- 5.4 Conclusions -- References -- 6 Ethics and Trust to Big Data in Management: Balancing Risk and Innovation -- 6.1 Introduction -- 6.2 The Digital Risk Associated with Big Data -- 6.3 Trust in Big Data -- 6.4 Building a Sensible Trust in Big Data in Organization Management -- 6.5 The Impact of Data Ethics Solutions on Organizational Innovation and Organization Management in the Digital Age -- 6.6 Balancing Digital Security with the Innovation Risk in Evidence-Based Management Using Big Data -- 6.7 Conclusion -- References -- Section II: Big Data in Management: Applications,Prospects, and Challenges -- 7 Big Data in Modern Farm Management -- 7.1 Introduction -- 7.2 Farm Management before the Era of Big Data -- 7.3 Big Data in Animal Production Management -- 7.4 Advantages of Big Data in Farm Management -- 7.5 Disadvantages of Big Data in Farm Management -- 7.6 Farmers' Perception of Big Data -- 7.7 Conclusions and Proposition for Future Research -- References. 8 Big Data Analytics and Corporate Social Responsibility: An Example of the Agribusiness Sector -- 8.1 Introduction -- 8.2 Premises for Changes in the Agribusiness Sector -- 8.3 Methodology -- 8.4 Research Results -- 8.5 Conclusion -- References -- 9 Big Data Analytics in Tourism: Overview and Trends -- 9.1 Introduction -- 9.2 Conditions for Using Big Data Analysis in the Tourism Industry -- 9.3 The Use of Big Data in Tourism -- 9.4 Trends in the Use of Big Data in Tourism -- 9.5 Conclusion -- References -- 10 Use of Big Data for Assessment of Environmental Pressures from Agricultural Production -- 10.1 Introduction -- 10.1.1 Farm Accountancy Data Network (FADN) -- 10.1.2 GHG Emissions: Challenge for the Farming Sector -- 10.2 Methodology -- 10.3 Results -- 10.4 Discussion and Conclusions -- References -- 11 Big Data as a Key Aspect of Customer Relationship Management: An Example of the Restaurant Industry -- 11.1 Introduction -- 11.2 Customer Relationship Management -- 11.3 Analysis of the Gastronomy Market in Poland -- 11.4 Structure of Consumer Spending -- 11.5 Characteristics of the Pizzeria "L'Olivo" -- 11.6 Digitization and Use of Data on Consumer Behavior in Creating a Personalized Offer -- 11.7 Research on Consumer Behavior in Creating Strategies for Influencing  Purchasing Decisions -- 11.8 Conclusion -- References -- 12 Blockchain and Big Data: Example of Management of Beef Production -- 12.1 Introduction -- 12.2 Statement of the Problem -- 12.3 The Genesis of Blockchain Technology and Its Development Stages -- 12.4 The Concept of Using Blockchain Technology and Factors Limiting It in Beef Production in Poland -- 12.5 Conclusions, Limitations, and Further Research -- References -- 13 Big Data Analysis for Management from Solow's Paradox Perspective in Polish Industry -- 13.1 Introduction -- 13.2 Big Data. 13.3 Scope, Data Sources, and Methods -- 13.4 Results -- 13.5 Conclusion -- References -- 14 Big Data on Commuting: Application for Business -- 14.1 Introduction -- 14.2 Review of the Literature -- 14.3 Methodology -- 14.4 Results -- 14.5 Discussion -- 14.6 Conclusion -- References -- 15 How to Support Real-Time Quantitative Big Data by More Future-Orientated Qualitative Data for Understanding Everyday Innovative Businesses? -- 15.1 Introduction -- 15.2 The Oretical Background -- 15.2.1 Innovation -- 15.3 Research Gap -- 15.4 Method -- 15.4.1 Analytical Hierarchy Process -- 15.4.2 Innovation Strategy Index -- 15.4.3 Weak Market Test -- 15.5 Empirical Research -- 15.6 Sample and Analysis -- 15.6.1 Case Company 1 -- 15.6.2 Case Company 2 -- 15.7 Discussion -- 15.8 Conclusion -- References -- Index. EBL202011 XX SzGeCERN EBL Knowledge management BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6232495 ebook n 202046 202011 21 PUBLIC https://catalogue.library.cern/legacy/2744840 BOOK MIGRATED 2744834 SzGeCERN 20210421184452.0 9780128227596 electronic version electronic version 9780128195406 print version oai:cds.cern.ch:2744834 cerncds:BOOK EBL 6231682 eng QD801 .G744 2020 541.3 Inamuddin Green sustainable process for chemical and environmental engineering and science sonochemical organic synthesis San Diego, CA Elsevier 2020 390 p ebook EBL202011 XX SzGeCERN BOOK Boddula, Rajender Asiri, Abdullah M https://cds.cern.ch/auth.py?r=EBLIB_P_6231682 ebook n 202046 202011 21 PUBLIC https://catalogue.library.cern/legacy/2744834 BOOK MIGRATED 2744805 SzGeCERN 20210421184454.0 9781119482048 electronic version electronic version 9781119482031 print version oai:cds.cern.ch:2744805 cerncds:BOOK EBL 6229588 eng TK7870.15 .L433 2020 621.381/046 Bath, Jasbir Lead-free soldering process development and reliability Newark, NJ John Wiley & Sons 2020 515 p ebook Wiley series in quality and reliability engineering Cover -- Title Page -- Copyright -- Contents -- List of Contributors -- Introduction -- Chapter 1 Lead‐Free Surface Mount Technology -- 1.1 Introduction -- 1.2 Lead‐Free Solder Paste Alloys -- 1.3 Solder Paste Printing -- 1.3.1 Introduction -- 1.3.2 Key Paste Printing Elements -- 1.4 Component Placement -- 1.4.1 Introduction -- 1.4.2 Key Placement Parameters -- 1.4.2.1 Nozzle -- 1.4.2.2 Vision System -- 1.4.2.3 PCB Support -- 1.4.2.4 Component Size, Packaging, and Feeder Capacity -- 1.4.2.5 Feeder Capacity -- 1.5 Reflow Process -- 1.5.1 Introduction -- 1.5.2 Key Parameters -- 1.5.2.1 Preheat -- 1.5.2.2 Soak -- 1.5.2.3 Reflow -- 1.5.2.4 Cooling -- 1.5.2.5 Reflow Atmosphere -- 1.6 Vacuum Soldering -- 1.7 Paste in Hole -- 1.8 Robotic Soldering -- 1.9 Advanced Technologies -- 1.9.1 Flip Chip -- 1.9.2 Package on Package -- 1.10 Inspection -- 1.10.1 Solder Paste Inspection (SPI) -- 1.10.2 Solder Joint Inspection -- 1.10.2.1 Automated Optical Inspection (AOI) -- 1.10.2.2 X‐ray Inspection -- 1.11 Conclusions -- References -- Chapter 2 Wave/Selective Soldering -- 2.1 Introduction -- 2.2 Flux -- 2.2.1 The Function of a Flux -- 2.2.2 Flux Contents -- 2.3 Amount of Flux Application on a Board -- 2.4 Flux Handling -- 2.5 Flux Application -- 2.5.1 Methods to Apply Flux (Wave Soldering) -- 2.5.2 Methods to Apply Flux (Selective Soldering) -- 2.6 Preheat -- 2.6.1 Preheat Process‐Heating Methods -- 2.6.2 Preheat Temperatures -- 2.6.3 Preheat Time -- 2.6.4 Controlling Preheat Temperatures -- 2.6.5 Board Warpage Compensation (Selective Soldering) -- 2.7 Selective Soldering -- 2.7.1 Different Selective Soldering Point to Point Nozzles (Selective Soldering) -- 2.7.2 Solder Temperatures (Selective Soldering) -- 2.7.3 Dip/Contact Times (Selective Soldering) -- 2.7.4 Drag Conditions (Selective Soldering) -- 2.7.5 Nitrogen Environment (Selective Soldering). 2.7.6 Wave Height Controls (Selective Soldering) -- 2.7.7 De‐Bridging Tools (Selective Soldering) -- 2.7.8 Solder Pot (Selective Soldering) -- 2.7.9 Topside Heating during Soldering (Selective Soldering) -- 2.7.10 Selective Soldering Dip Process with Nozzle Plates (Selective Soldering) -- 2.7.11 Solder Temperatures for Multi‐Wave Dip Soldering (Selective Soldering) -- 2.7.12 Nitrogen Environment (Selective Soldering) -- 2.7.13 Wave Height Control (Selective Soldering) -- 2.7.14 Dip Time - Contact Time with Solder (Selective Soldering) -- 2.7.15 Solder Flow Acceleration and Deceleration (Selective Soldering) -- 2.7.16 De‐Bridging Tools (Selective Soldering) -- 2.7.17 Pallets (Selective Soldering) -- 2.7.18 Conveyor (Selective Soldering) -- 2.8 Wave Soldering -- 2.8.1 Wave Formers (Wave Soldering) -- 2.8.2 Pallets (Wave Soldering) -- 2.8.3 Nitrogen Environment (Wave Soldering) -- 2.8.4 Process Control (Wave Soldering) -- 2.8.5 Conveyor (Wave Soldering) -- 2.9 Conclusions -- References -- Chapter 3 Lead‐Free Rework -- 3.1 Introduction -- 3.2 Hand Soldering Rework for SMT and PTH Components -- 3.2.1 Alloy and Flux Choices -- 3.2.1.1 Alloys -- 3.2.1.2 Flux -- 3.2.2 Soldering Iron Tip Life -- 3.2.3 Hand Soldering Temperatures and Times -- 3.3 BGA/CSP Rework -- 3.3.1 Alloy and Flux Choices -- 3.3.1.1 Alloys -- 3.3.1.2 Flux -- 3.3.2 BGA/CSP Rework Soldering Temperatures and Times -- 3.3.3 Component Temperatures in Relation to IPC/JEDEC J‐STD‐020 and Component/Board Warpage Standards -- 3.3.3.1 IPC/JEDEC J‐STD‐020 Standard -- 3.3.3.2 Component Warpage Standards -- 3.3.3.3 Board Warpage Standards -- 3.3.4 Equipment Updates for Lead‐Free BGA/CSP Rework -- 3.3.5 Adjacent Component Temperatures -- 3.4 Non‐standard Component Rework (Including BTC/QFN) -- 3.4.1 Alloy and Flux Choices -- 3.4.1.1 Alloys -- 3.4.1.2 Flux -- 3.4.2 Soldering Temperatures and Times. 3.4.3 Non‐standard Component Temperatures in Relation to IPC JEDEC J‐STD‐020 Standard and Component Warpage Standards -- 3.4.4 Equipment and Tooling Updates for Lead‐Free Non‐standard Component Rework -- 3.4.5 Adjacent Component Temperatures -- 3.4.6 Non‐standard Component Rework Solder Joint Reliability -- 3.5 PTH (Pin‐Through‐Hole) Wave Rework -- 3.5.1 Alloy and Flux Choices -- 3.5.1.1 Alloys -- 3.5.1.2 Flux -- 3.5.2 Soldering Temperatures and Times -- 3.5.3 Component Temperatures in Relation to Industry and Board Standards During PTH Rework -- 3.5.3.1 Component Temperature Rating Standards -- 3.5.3.2 Bare Board Testing Standards and Methods for PTH Rework -- 3.5.4 Equipment Updates for PTH Component Rework -- 3.5.5 Adjacent Component Temperatures During PTH Rework -- 3.5.6 PTH Component Rework Solder Joint Reliability -- 3.5.6.1 Copper Dissolution -- 3.5.6.2 Holefill -- 3.6 Conclusions -- References -- Chapter 4 Solder Paste and Flux Technology -- 4.1 Introduction -- 4.2 Solder Paste -- 4.2.1 Water‐Soluble Solder Paste -- 4.2.2 No‐Clean Solder Paste -- 4.3 Flux Technology -- 4.3.1 Halide‐Free and Halide‐Containing -- 4.4 Composition of Solder Paste -- 4.4.1 Alloy -- 4.4.2 Flux -- 4.4.3 Solder Powder Type -- 4.4.3.1 Oxide Layer -- 4.5 Characteristics of a Solder Paste -- 4.5.1 Printing -- 4.5.1.1 Printing Parameters -- 4.5.2 Reflow -- 4.5.2.1 Wetting/Spreadability of Lead‐Free Solder Paste -- 4.5.2.2 Bridging -- 4.5.2.3 Micro Solder Balls -- 4.5.2.4 Voiding -- 4.5.2.5 Head‐on‐Pillow Component Soldering Defect -- 4.5.2.6 Non‐Wet Open -- 4.5.2.7 Tombstoning -- 4.5.3 In‐Circuit Test (ICT) Probe Testability -- 4.5.4 Flux Reliability Issues -- 4.6 Conclusions -- References -- Chapter 5 Low Temperature Lead‐Free Alloys and Solder Pastes -- 5.1 Introduction -- 5.1.1 Definition of Low Temperature Solders -- 5.1.2 Benefits of Low Temperature Soldering. 5.1.2.1 Reduced Manufacturing Cost -- 5.1.2.2 Power Use Savings -- 5.1.2.3 Environmental Benefits -- 5.1.2.4 Manufacturing Yield Improvements -- 5.1.3 Drawbacks -- 5.1.3.1 Brittleness -- 5.1.4 Other Low Temperature Metallurgical Systems -- 5.2 Development of Robust Bismuth‐Based Low Temperature Solder Alloys -- 5.2.1 Bismuth‐Tin (Bi‐Sn) Phase Diagram -- 5.2.2 Mechanical Properties -- 5.2.3 Physical Properties -- 5.2.4 Alloy Development Progress -- 5.2.5 Fluxes for Low Temperature Solders -- 5.3 SMT Process Characterization of Sn‐Bi Based Solder Pastes -- 5.3.1 Printability -- 5.3.2 Reflow Profiles -- 5.3.3 Rework -- 5.4 Polymeric Reinforcement of Sn‐Bi Based Low Temperature Alloys -- 5.4.1 Current Polymeric Reinforcement Strategies -- 5.4.2 Joint Reinforced Pastes (JRP) -- 5.4.3 Polymeric Reinforcement Summary -- 5.5 Mixed SnAgCu‐BiSn BGA Solder Joints -- 5.5.1 Formation Mechanism -- 5.5.2 Microstructural Features and Key Characteristics -- 5.5.3 Soldering Process Optimization -- 5.5.4 Possible Defects -- 5.6 Solder Joint Reliability -- 5.7 Conclusions -- 5.8 Future Development and Trends -- References -- Chapter 6 High Temperature Lead‐Free Bonding Materials - The Need, the Potential Candidates and the Challenges -- 6.1 Introduction -- 6.2 Solder Materials -- 6.2.1 Gold‐Based Solders -- 6.2.2 Bismuth‐Rich Solders -- 6.2.2.1 Design of Bismuth‐Rich Solders -- 6.2.2.2 Mechanical Behavior of BiAgX -- 6.2.2.3 Microstructure and Microstructural Evolution of BiAgX Joint -- 6.2.3 Tin‐Antimony (Sn‐Sb) High Temperature Solders -- 6.2.4 Zinc‐Aluminum Solders -- 6.3 Silver (Ag)‐Sintering Materials -- 6.4 Transient Liquid Phase Bonding Materials/Technique -- 6.5 Summary -- Acknowledgment -- References -- Chapter 7 Lead (Pb)‐Free Solders for High Reliability and High‐Performance Applications -- 7.1 Evolution of Commercial Lead (Pb)‐Free Solder Alloys. 7.1.1 First Generation Commercial Pb‐Free Solders -- 7.1.2 Second Generation Commercial Pb‐Free Solders -- 7.1.3 Third Generation Commercial Pb‐Free Solders -- 7.2 Third Generation Alloy Research and Development -- 7.2.1 Limitations of Sn‐Ag‐Cu Solder Alloys -- 7.2.2 Emergence of Commercial Third Generation Alloys -- 7.2.2.1 The Genesis of 3rd Generation Alloy Development -- 7.2.2.2 An Expanding Class of 3rd Generation Alloys -- 7.2.3 Metallurgical Considerations -- 7.2.3.1 Antimony (Sb) Additions to Tin (Sn) -- 7.2.3.2 Indium (In) Additions to Tin (Sn) -- 7.2.3.3 Bismuth (Bi) Additions to Tin (Sn) -- 7.3 Reliability Testing Third Generation Commercial Pb‐Free Solders -- 7.3.1 Thermal Fatigue Evaluations -- 7.3.2 iNEMI/HDPUG Third Generation Alloy Pb‐Free Thermal Fatigue Project -- 7.3.3 Microstructure and Reliability of Third Generation Alloys -- 7.4 Reliability Gaps and Suggestions for Additional Work -- 7.4.1 Root Cause of Interfacial Fractures -- 7.4.2 Effect of Component Attributes on Thermal Fatigue -- 7.4.3 Effect of Surface Finish on Thermal Fatigue -- 7.4.4 Thermomechanical Test Parameters and Test Outcomes -- 7.4.4.1 Thermal Cycling Dwell Time -- 7.4.4.2 Preconditioning (Isothermal Aging) -- 7.4.4.3 Thermal Cycling of Mixed Metallurgy BGA Assemblies -- 7.4.4.4 Thermal Shock or Aggressive Thermal Cycling -- 7.4.5 Reliability Under Mechanical Loading: Drop/Shock, and Vibration -- 7.4.6 Solder Alloy Microstructure and Reliability -- 7.4.7 Summary of Suggestions for Additional Investigation -- 7.5 Conclusions -- Acknowledgments -- References -- Chapter 8 Lead‐Free Printed Wiring Board Surface Finishes -- 8.1 Introduction: Why a Surface Finish Is Needed -- 8.2 Surface Finishes in the Market -- 8.3 Application Perspective -- 8.4 A Description of Final Finishes -- 8.4.1 Hot Air Solder Leveling (HASL) -- 8.4.1.1 Process Complexity. 8.4.1.2 Process Description. EBL202011 SzGeCERN XX EBL Electronic packaging BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6229588 ebook 202011 n 202046 21 PUBLIC https://catalogue.library.cern/legacy/2744805 BOOK MIGRATED 2744783 SzGeCERN 20210421184455.0 9781912184125 electronic version electronic version 9781912184101 print version oai:cds.cern.ch:2744783 cerncds:BOOK EBL 6147996 eng HD30.255 .F446 2019 658.4083 Feeney, Clare How to change the world a practical guide to successful environmental training 2nd ed. Reading Gosbrook Professional Publishing 2019 240 p ebook How to Change the World is a complete, inspirational and practical toolkit for successful environmental training, underpinned by a unique and proven framework. If you are setting up or delivering environmental training programmes, this book is essential reading. EBL202011 XX SzGeCERN EBL Environmental protection-Management EBL Social responsibility of business BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6147996 ebook n 202046 202011 21 PUBLIC https://catalogue.library.cern/legacy/2744783 BOOK MIGRATED 2744751 SzGeCERN 20210421184458.0 9781782623953 electronic version electronic version 9781782621546 print version oai:cds.cern.ch:2744751 cerncds:BOOK EBL 4771320 eng QD509.S65.N66 2017 541.335 Ras, Robin H A Non-wettable surfaces theory, preparation and applications Cambridge Royal Society of Chemistry 2016 406 p ebook Cover -- Non-wettable Surfaces Theory, Preparation and Applications -- Preface -- Contents -- Chapter 1 - Non-Wetting Fundamentals -- 1.1 Introduction -- 1.2 Wetting Equilibrium -- 1.3 Mechanism and Definition of Non-Wettability -- 1.4 Stability Considerations -- 1.4.1 A Drop on a Non-Wettable Surface -- 1.4.2 Underwater Superhydrophobicity -- 1.5 Conclusions -- References -- Chapter 2 - Non-Wetting, Stabilization, and Phase Transitions Induced by Vibrations and Spatial Patterns -- 2.1 Introduction -- 2.2 Effective Force Corresponding to Small Fast Vibrations -- 2.2.1 Motion Subjected to a Rapidly Oscillating Force -- 2.2.2 Inverted Pendulum -- 2.2.3 Mathieu Equation Method -- 2.2.4 Multiple Pendulums and the Indian Rope Trick -- 2.3 Vibro-Levitation of Droplets -- 2.3.1 Vibro-Levitating Droplets and Inverted Pendulum -- 2.3.2 Experimental Study -- 2.3.3 Results -- 2.4 Vibration and Phase Transition -- 2.4.1 Effective Freezing -- 2.4.2 Cornstarch Monsters -- 2.4.3 Effective Liquid Properties and Surface Tension of Granular Materials -- 2.4.4 Locomotion in a Viscous Liquid -- 2.5 Surface Texture-Induced Phase Transitions -- 2.5.1 Kirchhoff's Analogy -- 2.5.2 Surface Texture-Induced Superhydrophobicity -- 2.5.3 Surface Texture-Induced Phase Transitions -- 2.6 Conclusions -- References -- Chapter 3 - Superoleophobic Materials -- 3.1 Introduction -- 3.2 Superoleophobicity Theories -- 3.3 Fabrication of Superoleophobic Materials -- 3.3.1 Plasma Etching/Reactive Ion Etching -- 3.3.2 Chemical Etching -- 3.3.2.1 Etching in Acidic Media -- 3.3.2.2 Etching in Basic Media -- 3.3.3 Galvanostatic Deposition -- 3.3.4 Anodization -- 3.3.5 Use of Nanoparticles -- 3.3.6 Hydrothermal and Solvothermal Processes -- 3.3.7 Chemical Vapour Deposition -- 3.3.8 Electrodeposition -- 3.3.9 Electrospinning -- 3.3.10 Layer-by-Layer Deposition -- 3.3.11 Lithography. 3.3.11.1 Photolithography -- 3.3.11.2 Soft Lithography and Nanoimprint Lithography -- 3.3.11.3 Colloidal Lithography -- 3.3.12 Use of Textured Substrates -- 3.3.12.1 Membranes -- 3.3.12.2 Textiles -- 3.4 Conclusion -- References -- Chapter 4 - Liquid-Repellent Nanostructured Polymer Composites -- 4.1 Introduction -- 4.2 Polymer Coatings -- 4.2.1 Fluoropolymer Matrix Polymer Composites -- 4.2.2 Silicone Matrix Polymer Composites -- 4.2.3 Wear Abrasion Resistant Liquid-Repellent Polymer Composites -- 4.2.4 Environmentally Friendly Processes and Materials for Liquid-Repellent Polymer Composites -- 4.3 Conclusions -- References -- Chapter 5 - Etching Techniques for Superhydrophobic Surface Fabrication -- 5.1 Introduction -- 5.2 Plasma Etching -- 5.2.1 Basics -- 5.2.2 Limitations in Plasma Etching -- 5.2.2.1 Mushroom/Overhang/T-Profile -- 5.2.2.2 Serif-T/Double Re-Entrant Structures -- 5.2.3 DRIE for Shapes Other than Pillars -- 5.2.4 Nanoroughness by Non-Masked Plasma Etching -- 5.3 Silicon Anisotropic Wet Etching -- 5.3.1 Silicon Nanostructures by Metal-Assisted Wet Etching -- 5.4 Combined Processes -- 5.5 Plasma Etching for Polymer Master Mould Fabrication -- 5.6 Glass Plasma Etching -- 5.7 Polymer Plasma Etching -- 5.8 Plasma Etcher as a Deposition Tool -- 5.9 Conclusions -- References -- Chapter 6 - Design Principles for Robust Superoleophobicity and Superhydrophobicity -- 6.1 Introduction -- 6.2 Study of a Model Superoleophobic Surface -- 6.2.1 Fabrication and Characterization of a Model Textured Surface -- 6.2.2 Basic Design Parameters for Superoleophobicity -- 6.2.3 Composite Liquid-Solid-Air Interface and Pinning Location -- 6.3 Robust Design Parameters for Superoleophobicity -- 6.3.1 Robustness Study on Wettability, Adhesion, and Hysteresis -- 6.3.2 Effect of Wavy Structure on Wetting Stability. 6.3.3 Effect of Re-Entrant Geometry on Wetting Stability -- 6.3.4 Effect of Breakthrough Pressure on Superoleophobicity -- 6.3.5 Mechanical Robustness Against Abrasion -- 6.3.6 Design Space and Latitude for Robust Superoleophobicity -- 6.4 Discussion of Robust Design Parameters for Superhydrophobicity -- 6.4.1 Re-Entrant and Overhang Structures -- 6.4.2 Hierarchical, Multi-Scale Roughness -- 6.4.3 Design Parameters for Robust Superhydrophobicity -- 6.5 Summary and Remarks -- 6.5.1 Gaps in Product Features and Measurements -- 6.5.2 Compromises and Trade-Off -- 6.5.3 Challenges in Manufacturing -- 6.5.3.1 Process Variations and Latitude -- 6.5.3.2 Manufacturing Defects -- 6.5.4 Concluding Remarks -- Acknowledgements -- References -- Chapter 7 - Patterned Superhydrophobic Surfaces -- 7.1 Introduction -- 7.2 Fabrication of Surfaces with Patterned Wettability -- 7.2.1 UV Light Irradiation -- 7.2.2 Phase Separation and UVO Irradiation -- 7.2.3 Hydrophilic-Superhydrophobic Black Silicon Patterned Surfaces -- 7.2.4 UV-Initiated Free Radical Polymerization and Photografting -- 7.2.5 Surface Patterning Via Thiol-yne Click Chemistry -- 7.2.6 Surface Functionalization Via Thiol-ene Reaction -- 7.2.7 Surface Functionalization Via UV-Induced Tetrazole-Thiol Reaction -- 7.2.8 Surface Modification Through Polydopamine -- 7.2.9 Superomniphobic-Superomniphilic Patterned Surfaces -- 7.2.10 Amine-Reactive Modification of Superhydrophobic Polymers -- 7.2.11 Patterns of Reversible Wettability -- 7.3 Applications of Patterned Superhydrophobic Surfaces -- 7.3.1 Open Microfluidic Channels -- 7.3.2 Cell Patterning and Cell Microarrays -- 7.3.3 Cell or Chemical Screening in Arrays of Liquid or Hydrogel Droplets -- 7.3.4 Positioning or Sorting Particles -- 7.3.5 Self-Assembly of Microchips -- 7.3.6 Lithographic Printing -- 7.3.7 Patterning Textiles. 7.3.8 Patterning Slippery Lubricant-Infused Porous Surfaces -- 7.3.9 Fog Collection -- 7.3.10 Heat Transfer During Boiling -- 7.4 Conclusions -- Acknowledgements -- References -- Chapter 8 - Natural and Artificial Surfaces with Superwettability for Liquid Collection -- 8.1 Introduction -- 8.2 Liquid Collection on Natural and Artificial Desert Beetles -- 8.2.1 Liquid Collection on Natural Desert Beetles -- 8.2.2 Surfaces with Patterned Wettability Used for Dew Collection Via Subcooling Condensation -- 8.2.3 Artificial Surfaces with Patterned Wettability Used for Liquid Collection Via Fog Deposition -- 8.3 Liquid Collection on Natural and Artificial Spider Silks -- 8.3.1 Liquid Collection on Natural Spider Silks -- 8.3.2 Liquid Collection on Artificial Spider Silks with Uniform Spindle-Knots -- 8.3.3 Artificial Spider Silks with Non-Uniform Spindle-Knots for Liquid Collection -- 8.4 Liquid Collection on Natural and Artificial Cactus -- 8.4.1 Liquid Collection on Natural Cactus -- 8.4.2 Liquid Collection on Artificial Cactus -- 8.4.3 Artificial Cactus for Oil/Water Separation -- 8.5 Other Kinds of Surfaces with Superwettability for Directional Liquid Collection -- 8.5.1 Natural Surfaces with Superwettability for Liquid Collection -- 8.5.2 Artificial Surfaces with Superwettability for Liquid Collection -- 8.6 Conclusion and Outlook -- References -- Chapter 9 - Wetting Properties of Surfaces and Drag Reduction -- 9.1 Introduction -- 9.1.1 Superhydrophobicity, Leidenfrost Effect, and SLIPS/LIS Surfaces -- 9.1.2 Importance of Vapour/Fluid Interfaces -- 9.1.3 Literature Reviews -- 9.1.4 Types of Experimental Methods -- 9.1.5 Retention and Generation of Gas/Vapour Layers -- 9.2 Velocity Profiles Near Surfaces and Slip -- 9.2.1 Slip Velocity, Slip Length and Friction -- 9.2.2 Apparent Slip and Lubricating Surface Flows. 9.2.3 Molecular Slip and Equilibrium/Dynamic Contact Angles -- 9.2.4 Slip and Surface Texture -- 9.2.5 Effective Slip and Mixed Boundary Conditions -- 9.3 Internal Flow Through Pipes -- 9.3.1 Navier-Stokes Equations and Reynolds Number -- 9.3.2 Poiseuille Flow and Friction Factor -- 9.3.3 Apparent Slip, Core Annular Flow, and Net ZMF Condition -- 9.4 External Flow Past Cylinders and Spheres -- 9.4.1 Pressure and Form Drag -- 9.4.2 Coefficient of Drag and Types of Flow Patterns -- 9.4.3 Stokes with Slip and Hadamard-Rybczinski Drag for Spheres -- 9.4.4 Plastron Drag Reduction for Spheres -- 9.4.5 Plastrons and Vortex Suppression -- 9.5 Summary -- Acknowledgements -- References -- Chapter 10 - Lubricant-Impregnated Surfaces -- 10.1 Introduction -- 10.2 Fundamentals -- 10.2.1 The Cloak -- 10.2.2 Wetting Ridge -- 10.2.3 Excess Films and Steady State -- 10.3 Applications -- 10.3.1 Condensation -- 10.3.2 Anti-Icing -- 10.3.3 Anti-Fouling -- 10.3.3.1 Self-Cleaning -- 10.3.3.2 Biofilm Formation -- 10.3.3.3 Scale Fouling -- 10.3.4 Fluid Mobility -- 10.3.5 Active Surfaces -- 10.3.6 Optics -- 10.3.7 Infused Gels -- 10.3.8 Durability -- 10.4 Conclusion and Outlook -- References -- Chapter 11 - Fundamentals of Anti-Icing Surfaces -- 11.1 Introduction -- 11.2 How Surfaces Can Be Used to Help with Icing-Icephobicity Versus Superhydrophobicity -- 11.3 Fundamental Concepts of Ice Nucleation -- 11.3.1 Homogeneous Freezing -- 11.3.2 Heterogeneous Freezing -- 11.4 The Role of Surface Properties and of the Environment in Icing -- 11.4.1 Surface Wetting -- 11.4.2 Textured or Rough Surfaces -- 11.4.3 Environmental Conditions -- 11.5 Water and Ice Interaction with Surfaces in Icing Conditions -- 11.5.1 Dynamic Water-Surface Interaction in Icing Conditions -- 11.5.1.1 Drop Shedding and Self-Propulsion -- 11.5.1.2 Drop Impact -- 11.5.2 Ice Adhesion on Anti-Icing Surfaces. 11.6 Alternative Routes: Soft Surfaces and Biomimicry of the Antifreeze Protein. This book integrates information about the theory, preparation and applications of non-wettable surfaces in one volume. EBL202011 XX SzGeCERN BOOK Marmur, Abraham Guittard, Frédéric Bayer, Ilker S Franssila, Sami Law, Kock-Yee Levkin, Pavel A Jiang, Lei Ras, Robin H A Varanasi, Kripa K https://cds.cern.ch/auth.py?r=EBLIB_P_4771320 ebook n 202046 202011 21 PUBLIC https://catalogue.library.cern/legacy/2744751 BOOK MIGRATED 2744485 SzGeCERN 20210422082951.0 9783030533052 electronic version electronic version 9783030533045 print version 9783030533069 print version 9783030533076 print version DOI 10.1007/978-3-030-53305-2 e-proceedings oai:cds.cern.ch:2744485 cerncds:CONF eng QA614-614.97 23 514.74 20190630 Geometric Methods in Physics XXXVIII Bialowieza, Poland 30 Jun - 6 Jul 2019 2019 bialowieza20190630 38 PL 20190706 Cham Springer 2020 ebook Trends in mathematics 2297-0215 Part I: Contributions to theXXXVIII Workshop -- Toeplitz extensions in noncommutative topology and mathematical physics -- Standard groupoids of von Neumann algebras -- Quantum differential equations and helices -- Periodic one-point rank one commuting difference operators -- On the bi-Hamiltonian structure of the trigonometric spin Ruijsenaars-Sutherland hierarchy -- Hermitian-Einstein metrics from non commutative U(1) solutions -- 2-hom-associative bialgebras and hom-left symmetric dialgebras -- Laguerre-Gaussian wave propagation in parabolic media -- Maximal Surfaces on Two-Step Sub-Lorentzian Structures -- Following the Trail of the Operator Geometric Mean -- On Hom-Lie-Rinehart algebras -- One Step Degeneration of Trigonal Curves and Mixing of Solitons and Quasi-Periodic Solutions of the KP Equation -- Fock Quantization of Canonical Transformations and Semiclassical Asymptotics for Degenerate Problems -- Some recent results on contact or point supported potentials -- 2D Yang-Mills theory and tau functions -- Many-particle Schröodinger type finitely factorized quantum Hamiltonian systems and their integrability -- Quantum master equation for the time-periodic density operator of a single qubit coupled to a harmonic oscillator -- On the construction of non-Hermitian Hamiltonians with all-real spectra through supersymmetric algorithms -- Toeplitz Quantization of an Analogue of the Manin Plane -- The Weyl-Wigner-Moyal formalism on a discrete phase space -- Algebraic geometric properties of spectral surfaces of quantum integrable systems and their isospectral deformations -- Part II: Abstracts of the Lectures at “School on Geometry and Physics -- Soliton equations and their holomorphic solutions -- Diffeomorphism Groups in Quantum Theory and Statistical Physics -- Position-dependent mass systems: Classical and quantum pictures -- Introduction to the algebraic Bethe ansatz -- Noncommutative Fiber Bundles. The book consists of articles based on the XXXVIII Białowieża Workshop on Geometric Methods in Physics, 2019. The series of Białowieża workshops, attended by a community of experts at the crossroads of mathematics and physics, is a major annual event in the field. The works in this book, based on presentations given at the workshop, are previously unpublished, at the cutting edge of current research, typically grounded in geometry and analysis, with applications to classical and quantum physics. For the past eight years, the Białowieża Workshops have been complemented by a School on Geometry and Physics, comprising series of advanced lectures for graduate students and early-career researchers. The extended abstracts of the five lecture series that were given in the eighth school are included. The unique character of the Workshop-and-School series draws on the venue, a famous historical, cultural and environmental site in the Białowieża forest, a UNESCO World Heritage Centre in the east of Poland: lectures are given in the Nature and Forest Museum and local traditions are interwoven with the scientific activities. Mathematics and statistics SPR202011 SzGeCERN Mathematical Physics and Mathematics SPR Group theory SPR Group Theory and Generalizations CONFERENCE PROCEEDINGS Kielanowski, Piotr ed. Odzijewicz, Anatol ed. Previato, Emma ed. 202011 SPR n 202046 42 PUBLIC https://catalogue.library.cern/legacy/2744485 PROCEEDINGS MIGRATED 2744476 SzGeCERN 20210422082958.0 9783030569204 electronic version electronic version print version 9783030569198 print version 9783030569211 DOI 10.1007/978-3-030-56920-4 e-proceedings oai:cds.cern.ch:2744476 cerncds:CONF eng T57-57.97 519 23 20200708 Industrial Engineering and Operations Management : XXVI IJCIEOM Rio de Janeiro, Brazil 8 - 11 Jul 2020 2020 riodejaneiro20200708 26 BR IJCIEOM 2020 20200711 Cham Springer 2020 ebook Springer proceedings in mathematics & statistics 2194-1009 337 Selecting Distribution Centers in Disaster Management by Network Analysis and Composition of Probabilistic Preferences (Gavião et al.) -- Development of Indicators for Monitoring the Regulatory Compliance of Static Equipment in Industrial Plants: An Empirical Study in the Oil and Gas Sector(Caiado et al.) -- Navy Worship Selection and Multicriteria Analysis: The THOR Method Supporting Decision Making (Tenório et al.) -- Pricing Scenarios of Sustainable Product-Service Syste: A Post-harvest by Brazilian Farmers View (Lermen et al.) -- Supplier in the Supply Chain: A Bibliometric Analysis (Krainer et al.) -- Life Cycle Assessment (LCA) Photovoltaic Solar Energy: A Bibliometric Literature Review (Teixeira) -- Analysing Plastic Cups Use: A Psychological Approach (D´ Agostin et al.) -- Barriers to the Diffusion of Renewable Energies: Literature Review (Zamparetti et al.) -- Organizational Performances of Distributed Generation in Brazil Electric Utilities: A Balanced Scorecard Perspective (B. Rosa et al.) -- EPQ Model with Partial Backordering Considering Environmental Aspects and Stochastic Demand (Silva et al.) -- Sustainability in Logistics Systems and its Impact on the Level of Service Definition: An Exploratory Analysis using Structural Equation Modeling (Martins et al.) -- Supply Chain Management Practices in Small Enterprises: A Practical Implementation Guidance (Matos et al.) -- Information and Data Quality States Model to Support Process-aware Information Systems (Junior et al.) -- Identifying Patient Demand New Patterns in Emergency Departments a Multiple Case Study: A Forecasting Approach (Assad et al.) -- Visual Management in Healthcare: A Systematic Literature Review of Main Practices and Applications (Zani et al.) -- Systematic Review on the Use of Eggshell: Reflections about Circular Economy (Bonato et al.) -- The Importance of Measurement Uncertainty Analysis on Statistical Quality Control (Couto et al.) -- Evaluation Model for Sustainable Supply Chain Management in the Food Industry (Trojan et al.) -- Logistics Regression Model for Predicting Cost Performance According to Benefits Management Effort in New Product Development Projects (da Silva et al.) -- Extraction of Soluble Solids of Soursop (Annona Muricata) and Marolo (Annona Crassiflora Mart.) Seeds Using Different Solvents and Processes (Menezes et al.) -- Framework Proposal to Organize Sustainability Strategies Towards a Transition to the Circular Economy (Bacovis et al.) -- Application of Data Reconciliation in a Water Balance as a Tool for Reducing Water Use at a Public University in Brazil (Costa et al.) -- Disaster Response Assessment: The Case of the Civil Defense of the State of Rio de Janeiro, Brazil (Pereira et al.) -- Lean Demand Management: Application in a National Health Department (Souza et al.) -- Simultaneous Data Reconciliation and Parameter Estimation Applied to a Heat Exchange Process (Kalid et al.) -- Analysis of Greenhouse Gases and Atmospheric Pollutants Emissions By Helicopters in the Oil and Gas Industry (Mendes et al.) -- Study of the Use of Data Mining in Modeling Non-Standard Processing in a Higher Education Institution (Maia et al.) -- Process Mining Classification with a Weightless Neural Network (Barbastefano et al.) -- Quantitative Approaches for Identification of Indicators and their Relationships in Performance Measurement Systems: A Literature Review (da Silva Ramos et al.) -- Use of DMAIC and Lean Six Sigma to Reduce Body Defects in an Automotive Factory (de Siqueira) -- PROMETHEE-SAPEVO-M1 a Hybrid Modeling Proposal: Multicriteria Evaluation of Drones for Use in Naval Warfare (Moreira et al.) -- Application of Statistical Process Control in Painting Office Supplies (da Silva Fernandes et al.) -- The Influence of Economic Context on the Relationship Between Manufacturing Strategy, Practices and Performance (Gambi et al.) -- A System Thinking Approach for Social and Environmental Risk in Supply Chains (de Oliveira et al.) -- A Comparative Study of the Influence of Organizational Culture on Performance (Gambi et al.) -- Work Ability Index (WAI) and Quality of Life at Work (QLW) in the Context of Occupational Accidents: A Survey with Construction Workers (Galati et al.) -- Purchase System for People with Reduced Mobility: Promoting Equity Idealized by Society 5.0 (Garcez et al.) -- Application of the Proknow-C Methodology in the Search for Literature about Energy Management Audit based on International Standards (Vieira et al.) -- Stakeholders Assessment for Risk Management into the Wind Power Supply Chain (Troche-Escobar et al.) -- Working in the 4.0 Era: An Ontology for Competence Management in the Fourth Industrial Revolution (Francisco et al.) -- Autonomous Inventory and Capacity Management in an Omnichannel Retailing Scenario: A Review (Linhares et al.) -- Measuring the Effectiveness of a Scrum Training Session using Psychological States of Flow (Nagai et al.) -- Pedestrian Evacuation Plan on Fire Situations at a University (Enami et al.) -- Economic Production Quantity Model Considering Items with Distinct Levels of Imperfection (Miranda et al.) -- Food Security: Location of Assistance Entities in Poverty Zones (Assumpção et al.) -- Emotions and the Purchase Decision Processes of Green Products: An Exploratory Study with Consumption Emotions Set Scale (CES) (Kolling et al.) -- Prioritization of Critical Factors for the Improvement in the Visual Daily Shop Floor Management in Manufacturing using AHP – A Case Study Pereira et al.) -- Economic Production Quantity for Products with Deterioration and Shortage Under Advanced-Cash-Credit Payment Scheme (Londe et al.) -- Sustainable by Accident: An Analysis of the Development of the Brazilian Electricity Sector (Botelho et al.) -- Success Critical Factors on the Civil Construction Projects Management, Utilizing Artificial Neural Networks (Erpen et al.) -- Production Planning and Control in Industry 4.0: Maintenance of Breakdown of the Principles and Fundamentals (Pissardini et al.) -- Lean Office in the Monitoring of Public Building Works (Dal´Bosco et al.). This volume gathers selected peer-reviewed papers presented at the XXVI International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM), held on July 8-11, 2020 in Rio de Janeiro, Brazil. The respective chapters address a range of timely topics in industrial engineering, including operations and process management, global operations, managerial economics, data science and stochastic optimization, logistics and supply chain management, quality management, product development, strategy and organizational engineering, knowledge and information management, work and human factors, sustainability, production engineering education, healthcare operations management, disaster management, and more. These topics broadly involve fields like operations, manufacturing, industrial and production engineering, and management. Given its scope, the book offers a valuable resource for those engaged in optimization research, operations research, and practitioners alike. Mathematics and statistics SPR202011 SzGeCERN Mathematical Physics and Mathematics SPR Production management SPR Industrial engineering SPR Production engineering SPR Data mining SPR Operations Management SPR Industrial and Production Engineering SPR Data Mining and Knowledge Discovery PROCEEDINGS CONFERENCE Thomé, Antônio ed. Barbastefano, Rafael ed. Scavarda, Luiz ed. Reis, João ed. Amorim, Marlene ed. IJCIEOM 2020 Acronym SPR n 202046 202011 42 PUBLIC https://catalogue.library.cern/legacy/2744476 PROCEEDINGS MIGRATED 2744425 SzGeCERN 20210421184500.0 9789811573569 electronic version electronic version 9789811573552 print version 9789811573576 print version 9789811573583 print version DOI 10.1007/978-981-15-7356-9 ebook oai:cds.cern.ch:2744425 cerncds:BOOK eng QC176.8.N35 T174.7 23 620.5 Abdullah, Zainab Waheed Polyvinyl alcohol/halloysite nanotube bionanocomposites as biodegradable packaging materials Singapore Springer 2020 ebook Chapter 1: Introduction -- Chapter 2: Materials, Manufacturing Process and Characterisation Methods -- Chapter 3: Morphological, Mechanical and Thermal Properties of PVA/ HNT Bionanocomposite Films -- Chapter 4: Water Resistance and Biodegradation of PVA /HNT Bionanocomposite Films -- Chapter 5: Barrier Properties of PVA/ HNT Bionanocomposite Films -- Chapter 6: Component Migration of PVA/HNT Bionanocomposite Films. This book focuses on the preparation and characterisation of polyvinyl alcohol (PVA)/ halloysite nanotube (HNT) bionanocomposite films with different HNT contents for potential use in food packaging. It examines the effect of material composition and nanofiller content on mechanical, thermal and optical properties in relation to their morphological structures, and also comprehensively describes the water resistance, biodegradation and migration rates of such bionanocomposites, as well as their barrier properties in terms of water vapour transmission, and water vapour, air and oxygen permeabilities. Further, this book discusses the use of Nielsen model and Cussler model to predict the relative permeability of bionanocomposites, demonstrating that Nielsen model is more effective and in better agreement with experimental data obtained. Lastly, it discusses the application of bionanocomposite films in food packaging to prolong the shelf life of freshly cut avocados and peaches. Physics and astronomy SPR202011 SzGeCERN Chemical Physics and Chemistry SPR Food—Biotechnology SPR Environmental engineering SPR Biotechnology SPR Nanochemistry SPR Food Science SPR Environmental EngineeringBiotechnology BOOK Dong, Yu 202011 SPR n 202046 21 PUBLIC https://catalogue.library.cern/legacy/2744425 BOOK MIGRATED 2744422 SzGeCERN 20210421184500.0 9789811588723 electronic version electronic version 9789811588716 print version 9789811588730 print version 9789811588747 print version DOI 10.1007/978-981-15-8872-3 ebook oai:cds.cern.ch:2744422 cerncds:BOOK eng T50 23 530.8 Metrology for inclusive growth of India Singapore Springer 2020 ebook Metrology: SI and derived units for international harmonization of measurements -- Metrology: A must for all the ministries of government of India -- Time Metrology: Indian Standard Time for safe Digital India -- Physico-Mechanical Metrology -- Electrical & Electronic Metrology -- Electromagnetic Metrology -- Environmental Metrology -- Biomedical Metrology -- Materials Metrology -- Bharatiya Nirdeshak Dravya (BND®): India Reference Materials -- Human resource for Metrology -- Metrology: a growth engine and future ahead. This book describes the significance of metrology for inclusive growth in India and explains its application in the areas of physical–mechanical engineering, electrical and electronics, Indian standard time measurements, electromagnetic radiation, environment, biomedical, materials and Bhartiya Nirdeshak Dravyas (BND®). Using the framework of “Aswal Model”, it connects the metrology, in association with accreditation and standards, to the areas of science and technology, government and regulatory agencies, civil society and media, and various other industries. It presents critical analyses of the contributions made by CSIR-National Physical Laboratory (CSIR-NPL), India, through its world-class science and apex measurement facilities of international equivalence in the areas of industrial growth, strategic sector growth, environmental protection, cybersecurity, sustainable energy, affordable health, international trade, policy-making, etc. The book will be useful for science and engineering students, researchers, policymakers and entrepreneurs. Physics and astronomy SPR202011 SzGeCERN General Theoretical Physics SPR Physical measurements SPR Measurement    SPR Measurement Science and Instrumentation BOOK Aswal, Dinesh ed. 202011 SPR n 202046 21 PUBLIC https://catalogue.library.cern/legacy/2744422 BOOK MIGRATED 2744084 20250309040110.0 DOI bibmatch 10.1016/j.nima.2020.164495 oai:cds.cern.ch:2744084 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2007.15854 oai:inspirehep.net:1809691 https://inspirehep.net/api/oai2d Inspire 2025-03-08T12:34:42Z 2025-03-09T03:00:03Z marcxml true Inspire 1809691 arXiv arXiv:2007.15854 physics.ins-det eng Deng, Binwei HBPU, Huangshi ZEPC, Yixing Southern Methodist U. Hua-Zhong Normal U. Department of Electronic Information Engineering, Hubei Polytechnic University, Huangshi, Hubei, 435003, PR China Zhongyi Environmental Protection College, Yixing Environmental Protection Science and Technology Industrial Park, Yixing, Jiangsu, 214200, PR China Department of Physics, Southern Methodist University, Dallas, TX, 75275, USA Elsevier Design and hardware evaluation of the optical-link system for the ATLAS Liquid Argon Calorimeter Phase-II Upgrade 2020-11-21 2020-07-31 12 p arXiv 12 pages, 8 figures Elsevier An optical link system is being developed for the ATLAS Liquid Argon Calorimeter Phase-II upgrade. The optical link system is responsible for transmit the data of over 182 thousand detector channels from 1524 Front-End Boards (FEBs) through 26 optical fibers per FEB over 150 meters to the counting room and brings clocks, bunch crossing reset signals and slow control/monitoring signals back to the FEBs. The optical link system is based on the Low-Power GigaBit Transceivers (lpGBTs) and the Versatile optical Transceiver (VTRx+) modules, which both are being developed for the High-Luminosity LHC upgrade. An evaluation board is designed and the major functions of the optical link system are being evaluated. The design of the optical link system and the evaluation of major functions are presented in the paper. arXiv An optical link system is being developed for the ATLAS Liquid Argon Calorimeter Phase-II upgrade. The optical link system is responsible for transmit the data of over 182 thousand detector channels from 1524 Front-End Boards (FEBs) through 26 optical fibers per FEB over 150 meters to the counting room and brings clocks, bunch crossing reset signals and slow control/monitoring signals back to the FEBs. The optical link system is based on the Low-Power GigaBit Transceivers (lpGBTs) and the Versatile optical Transceiver (VTRx+) modules, which both are being developed for the High-Luminosity LHC upgrade. An evaluation board is designed and the major functions of the optical link system are being evaluated. The design of the optical link system and the evaluation of major functions are presented in the paper. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication © 2020 Published by Elsevier B.V. arXiv hep-ex SzGeCERN Particle Physics - Experiment arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques CERN ARTICLE CERN LHC ATLAS Liu, Chonghan Hua-Zhong Normal U. Department of Physics, Southern Methodist University, Dallas, TX, 75275, USA Gong, Datao Hua-Zhong Normal U. Department of Physics, Southern Methodist University, Dallas, TX, 75275, USA Chen, Chufeng Southern Methodist U. Hua-Zhong Normal U. Department of Physics, Southern Methodist University, Dallas, TX, 75275, USA Department of Physics, Central China Normal University, Wuhan, Hubei, 430079, PR China Huang, Xing Southern Methodist U. Hua-Zhong Normal U. Department of Physics, Southern Methodist University, Dallas, TX, 75275, USA Department of Physics, Central China Normal University, Wuhan, Hubei, 430079, PR China Hou, Suen Taiwan, Inst. Phys. Institute of Physics, Academia Sinica, Nangang, Taipei, 11529, Taiwan Liu, Tiankuan INSPIRE-00219286 tliu@mail.smu.edu Southern Methodist U. Department of Physics, Southern Methodist University, Dallas, TX, 75275, USA Sun, Hanhan Southern Methodist U. Hua-Zhong Normal U. Department of Physics, Southern Methodist University, Dallas, TX, 75275, USA Department of Physics, Central China Normal University, Wuhan, Hubei, 430079, PR China Zhang, Li Southern Methodist U. Hua-Zhong Normal U. Department of Physics, Southern Methodist University, Dallas, TX, 75275, USA Department of Physics, Central China Normal University, Wuhan, Hubei, 430079, PR China Zhang, Wei Southern Methodist U. Hua-Zhong Normal U. Department of Physics, Southern Methodist University, Dallas, TX, 75275, USA Department of Physics, Central China Normal University, Wuhan, Hubei, 430079, PR China Ye, Jingbo Southern Methodist U. Department of Physics, Southern Methodist University, Dallas, TX, 75275, USA 164495 Nucl. Instrum. Methods Phys. Res., A 981 C19-12-14 2020 2264357 1900793 http://cds.cern.ch/record/2744084/files/2007.15854.pdf Fulltext 13 2701807 164495 hiroshima20191214 ARTICLE ConferencePaper 2748163 SzGeCERN 20230613170628.0 DOI IEEE 10.1109/TIM.2020.3023210 oai:inspirehep.net:1833019 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN ForCDS http://old.inspirehep.net/oai2d oai:inspirehep.net:1833019 2020-12-18T16:07:56Z 2020-12-19T05:00:06Z marcxml Inspire 1833019 eng Weber, Stefan K ORCID:0000-0001-7408-9069 CERN IEEE Data Acquisition System of the CLOUD Experiment at CERN 2021 author Instruments author Clouds author Data acquisition author Databases author Monitoring author Servers author Cloud computing author Centralized control author data acquisition (DAQ) author data handling author data processing author data storage systems author industrial control author monitoring author remote monitoring CERN CLOUD Miotto, Giovanna Lehmann ORCID:0000-0001-9045-7853 CERN Almeida, João ORCID:0000-0002-8502-2721 CERN Blanc, Pascal Herve ORCID:0000-0001-8342-0227 CERN Dias, António ORCID:0000-0002-0842-4639 Lisbon, CENTRA Lisbon U. Faculdade de Ciencias, Universidade de Lisboa, Lisbon, Portugal Malaguti, Giulio ORCID:0000-0002-1862-3420 CERN Manninen, Hanna E ORCID:0000-0002-0419-4020 CERN Pfeifer, Joschka ORCID:0000-0002-9172-4447 CERN Ravat, Sylvain ORCID:0000-0002-9548-7020 CERN Onnela, Antti ORCID:0000-0001-9946-9762 CERN Mathot, Serge ORCID:0000-0002-4802-8251 CERN Kirkby, Jasper ORCID:0000-0003-2341-9069 CERN Goethe U., Frankfurt (main) Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt, Germany Tomé, António ORCID:0000-0001-9144-7120 Beira Interior U., Covilha Amorim, António ORCID:0000-0003-0638-2321 Lisbon, CENTRA Lisbon U. Faculdade de Ciencias, Universidade de Lisboa, Lisbon, Portugal 1-13 IEEE Trans. Instrum. Meas. 70 2021 2270733 1638395 http://cds.cern.ch/record/2748163/files/09197638.pdf Fulltext 13 ARTICLE 13 p IEEE The Cosmics Leaving OUtdoor Droplets (CLOUD) experiment at the European Organization for Nuclear Research (CERN) is investigating the nucleation and growth of aerosol particles under atmospheric conditions and their activation into cloud droplets. The experiment comprises an ultraclean 26 m3chamber and its associated systems (the CLOUD facility) together with a suite of around 50 advanced instruments attached to the chamber via sampling probes to analyze its contents. The set of instruments changes for each experimental campaign according to the scientific goals. The central function of the CLOUD DAQ (data acquisition) system is to combine the data from these autonomous and inhomogeneous instruments into a single, integrated CLOUD experiment database. The DAQ system needs to be highly adaptable to allow a fast setup over a single installation week at the start of each campaign when the instruments are brought to CERN and installed at the CLOUD chamber. Each campaign requires high flexibility and fast response to changes in instrument configuration or experimental parameters. The experiments require online monitoring of the physical and chemical measurements with delays of only a few seconds. In addition, the raw data, the monitoring databases, and the processed data must be archived and provided to the international collaboration for both real-time and later analyses. We will describe the various components of the CLOUD DAQ and computing infrastructure, together with the reasons for the chosen solutions. CC-BY-4.0 https://creativecommons.org/licenses/by/4.0/ 2747301 SzGeCERN 20210423001438.0 BS-EN-IEC-60068-2-5 eng 19.040 British Standards Institution, London Environmental testing Part 2-5: Test S. Simulated solar radiation at ground level and guidance for solar radiation testing and weathering London BSI 2018 24 p paper SzGeCERN Engineering STANDARD CERN Depot 2, bldg. 2 (DE2) BS-EN-IEC-60068-2-5 h 202051 21 https://catalogue.library.cern/legacy/2747301 BOOK STANDARD MIGRATED 2747235 20211120040322.0 DOI bibmatch 10.1088/1748-0221/15/11/C11011 oai:cds.cern.ch:2747235 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2006.16773 oai:inspirehep.net:1804304 https://inspirehep.net/api/oai2d Inspire 2021-11-19T06:44:43Z 2021-11-20T03:00:06Z marcxml true Inspire 1804304 arXiv arXiv:2006.16773 physics.ins-det eng Panetta, M.P. mariapaola.panetta@le.infn.it Enrico Fermi Ctr., Rome INFN, Lecce Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Sezione di Lecce, Lecce, Italy arXiv Strategies to reduce the environmental impact in the MRPC array of the EEE experiment 2020-11-13 2020-06-30 10 p arXiv 11 pages, 9 figures IOP The Extreme Energy Events (EEE) Project employs Multi-gap Resistive Plate Chambers (MRPCs) for studying the secondary cosmic ray muons in Extensive Air Showers. The array consists of about 60 tracking detectors, sparse on Italian territory and at CERN. The MRPCs are flowed with a gas mixture based on C2H2F4 and SF6, both of which are fluorinated greenhouse gases with a high environmental impact on the atmosphere. Due to the restrictions imposed by the European Union, these gases are being phased out of production and their cost is largely increasing. The EEE Collaboration started a campaign to reduce the gas emission from its array with the aim of containing costs and decreasing the experiment global warming impact. One method is to reduce the gas rate in each EEE detector. Another is to develop a gas recirculation system, whose prototype has been installed at one of the EEE stations located at CERN. Jointly a parallel strategy is focused on searching for environmental friendly gas mixtures which are able to substitute the standard mixture without affecting the MRPC performance. An overview and the first results are presented here. arXiv The Extreme Energy Events (EEE) Project employs Multi-gap Resistive Plate Chamber (MRPC) for studying the secondary cosmic ray muons in Extensive Air Showers. The array consists of about 60 tracking detectors, sparse on Italian territory and at CERN. The MRPCs are flowed with a gas mixture based on $C_2H_2F_4$ and $SF_6$, both of which are fluorinated greenhouse gases with a high environmental impact on the atmosphere. Due to the restrictions imposed by the European Union, these gases are being phased out of production and their cost is largely increasing. The EEE Collaboration started a campaign to reduce the gas emission from its array with the aim of containing costs and decreasing the experiment global warming impact. One method is to reduce the gas rate in each EEE detector. Another is to develop a gas recirculation system, whose a first prototype has been installed at one of the EEE stations located at CERN. Jointly a parallel strategy is focused on searching for environmental friendly gas mixtures which are able to substitute the standard mixture without affecting the MRPC performance. An overview and first results are presented here. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ hep-ex arXiv Particle Physics - Experiment SzGeCERN astro-ph.IM arXiv Astrophysics and Astronomy SzGeCERN physics.ins-det arXiv Detectors and Experimental Techniques SzGeCERN CERN ARTICLE EEE Abbrescia, M. Bari U. INFN, Bari Dipartimento Interateneo di Fisica, Università di Bari, Bari, Italy INFN Sezione di Bari, Bari, Italy Avanzini, C. Enrico Fermi Ctr., Rome INFN, Pisa Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Sezione di Pisa, Pisa, Italy Baldini, L. Enrico Fermi Ctr., Rome INFN, Pisa Pisa U. Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Sezione di Pisa, Pisa, Italy Dipartimento di Fisica, Università di Pisa, Pisa, Italy Ferroli, R.Baldini Enrico Fermi Ctr., Rome Frascati Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Laboratori Nazionali di Frascati, Frascati (RM), Italy Batignani, G. Enrico Fermi Ctr., Rome INFN, Pisa Pisa U. Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Sezione di Pisa, Pisa, Italy Dipartimento di Fisica, Università di Pisa, Pisa, Italy Battaglieri, M. Enrico Fermi Ctr., Rome Jefferson Lab INFN, Genoa Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy Thomas Jefferson National Accelerator Facility, Newport News, VA 23606, U.S.A. INFN Sezione di Genova, Genova, Italy Boi, S. Enrico Fermi Ctr., Rome Cagliari U. INFN, Cagliari Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy Dipartimento di Fisica, Università di Cagliari, Cagliari, Italy INFN Sezione di Cagliari, Cagliari, Italy Bossini, E. CERN CERN, Geneva, Switzerland Carnesecchi, F. Enrico Fermi Ctr., Rome U. Bologna, DIFA INFN, Bologna Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy Dipartimento di Fisica, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Cicalò, C. Enrico Fermi Ctr., Rome INFN, Cagliari Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Sezione di Cagliari, Cagliari, Italy Cifarelli, L. Enrico Fermi Ctr., Rome U. Bologna, DIFA INFN, Bologna Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy Dipartimento di Fisica, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Coccetti, F. Enrico Fermi Ctr., Rome Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy Coccia, E. Enrico Fermi Ctr., Rome GSSI, Aquila Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy Gran Sasso Science Institute, Italy Corvaglia, A. Enrico Fermi Ctr., Rome INFN, Lecce Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Sezione di Lecce, Lecce, Italy Gruttola, D.De Salerno U. INFN, Salerno Dipartimento di Fisica, Università di Salerno, Salerno, Italy INFN Gruppo Collegato di Salerno, Salerno, Italy Pasquale, S.De Salerno U. INFN, Salerno Dipartimento di Fisica, Università di Salerno, Salerno, Italy INFN Gruppo Collegato di Salerno, Salerno, Italy Fabbri, F. Enrico Fermi Ctr., Rome Frascati Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Laboratori Nazionali di Frascati, Frascati (RM), Italy Falchieri, D. INFN, Bologna INFN Sezione di Bologna, Bologna, Italy Galante, L. Enrico Fermi Ctr., Rome Turin Polytechnic INFN, Turin Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy Dipartimento di Scienze Applicate e Tecnologia, Politecnico di Torino, Torino, Italy INFN Sezione di Torino, Torino, Italy Garbini, M. Enrico Fermi Ctr., Rome INFN, Bologna Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Sezione di Bologna, Bologna, Italy Gemme, G. INFN, Genoa INFN Sezione di Genova, Genova, Italy Gnesi, I. Enrico Fermi Ctr., Rome INFN, Rome Rome, ISS Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Gruppo Collegato di Cosenza, Laboratori Nazionali di Frascati (RM), Italy Grazzi, S. Enrico Fermi Ctr., Rome INFN, Genoa Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Sezione di Genova, Genova, Italy Hatzifotiadou, D. Enrico Fermi Ctr., Rome CERN INFN, Bologna Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy CERN, Geneva, Switzerland INFN Sezione di Bologna, Bologna, Italy Rocca, P.La Enrico Fermi Ctr., Rome INFN, Catania Catania U. Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Sezione di Catania, Catania, Italy Dipartimento di Fisica e Astronomia, Università di Catania, Catania, Italy Liu, Z. World Lab., Geneva ICSC World laboratory, Geneva, Switzerland Lombardo, L. Turin Polytechnic Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino, Torino, Italy Mandaglio, G. Enrico Fermi Ctr., Rome INFN, Catania Messina U. Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Sezione di Catania, Catania, Italy Dipartimento di Scienze Matematiche e Informatiche, Scienze Fisiche e Scienze della Terra, Università di Messina, Messina, Italy Maron, G. INFN, CNAF INFN-CNAF, Bologna, Italy Mazziotta, M.N. INFN, Bari INFN Sezione di Bari, Bari, Italy Mulliri, A. Cagliari U. INFN, Cagliari Dipartimento di Fisica, Università di Cagliari, Cagliari, Italy INFN Sezione di Cagliari, Cagliari, Italy Nania, R. Enrico Fermi Ctr., Rome INFN, Bologna Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Sezione di Bologna, Bologna, Italy Noferini, F. Enrico Fermi Ctr., Rome INFN, Bologna Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Sezione di Bologna, Bologna, Italy Nozzoli, F. TIFPA-INFN, Trento INFN Trento Institute for Fundamental Physics and Applications, Trento, Italy Palmonari, F. Enrico Fermi Ctr., Rome U. Bologna, DIFA Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy Dipartimento di Fisica, Università di Bologna, Bologna, Italy Panareo, M. INFN, Lecce Salento U. INFN Sezione di Lecce, Lecce, Italy Dipartimento di Matematica e Fisica, Università del Salento, Lecce, Italy Paoletti, R. Pisa U. U. Siena, DSFTA Dipartimento di Fisica, Università di Pisa, Pisa, Italy Dipartimento di Scienze Fisiche, della Terra e dell'Ambiente, Università di Siena, Siena, Italy Parvis, M. Turin Polytechnic Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino, Torino, Italy Pellegrino, C. Enrico Fermi Ctr., Rome INFN, CNAF Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN-CNAF, Bologna, Italy Perasso, L. Enrico Fermi Ctr., Rome INFN, Genoa Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Sezione di Genova, Genova, Italy Pinazza, O. Enrico Fermi Ctr., Rome INFN, Bologna Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Sezione di Bologna, Bologna, Italy Pinto, C. Enrico Fermi Ctr., Rome INFN, Catania Catania U. Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Sezione di Catania, Catania, Italy Dipartimento di Fisica e Astronomia, Università di Catania, Catania, Italy Pisano, S. Enrico Fermi Ctr., Rome Frascati Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Laboratori Nazionali di Frascati, Frascati (RM), Italy Riggi, F. Enrico Fermi Ctr., Rome INFN, Catania Catania U. Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Sezione di Catania, Catania, Italy Dipartimento di Fisica e Astronomia, Università di Catania, Catania, Italy Righini, G. Enrico Fermi Ctr., Rome Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy Ripoli, C. Salerno U. INFN, Salerno Dipartimento di Fisica, Università di Salerno, Salerno, Italy INFN Gruppo Collegato di Salerno, Salerno, Italy Rizzi, M. INFN, Bari INFN Sezione di Bari, Bari, Italy Sartorelli, G. Enrico Fermi Ctr., Rome U. Bologna, DIFA INFN, Bologna Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy Dipartimento di Fisica, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Scapparone, E. Enrico Fermi Ctr., Rome INFN, Bologna Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Sezione di Bologna, Bologna, Italy Schioppa, M. INFN, Rome Rome, ISS Calabria U. INFN Gruppo Collegato di Cosenza, Laboratori Nazionali di Frascati (RM), Italy Dipartimento di Fisica, Università della Calabria, Rende (CS), Italy Scribano, A. U. Siena, DSFTA Dipartimento di Scienze Fisiche, della Terra e dell'Ambiente, Università di Siena, Siena, Italy Selvi, M. Enrico Fermi Ctr., Rome INFN, Bologna Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Sezione di Bologna, Bologna, Italy Serri, G. Enrico Fermi Ctr., Rome Cagliari U. INFN, Cagliari Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy Dipartimento di Fisica, Università di Cagliari, Cagliari, Italy INFN Sezione di Cagliari, Cagliari, Italy Squarcia, S. INFN, Genoa Genoa U. INFN Sezione di Genova, Genova, Italy Dipartimento di Fisica, Università di Genova, Genova, Italy Taiuti, M. INFN, Genoa Genoa U. INFN Sezione di Genova, Genova, Italy Dipartimento di Fisica, Università di Genova, Genova, Italy Terreni, G. Enrico Fermi Ctr., Rome INFN, Pisa Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Sezione di Pisa, Pisa, Italy Trifirò, A. Enrico Fermi Ctr., Rome INFN, Catania Messina U. Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Sezione di Catania, Catania, Italy Dipartimento di Scienze Matematiche e Informatiche, Scienze Fisiche e Scienze della Terra, Università di Messina, Messina, Italy Trimarchi, M. Enrico Fermi Ctr., Rome INFN, Catania Messina U. Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy INFN Sezione di Catania, Catania, Italy Dipartimento di Scienze Matematiche e Informatiche, Scienze Fisiche e Scienze della Terra, Università di Messina, Messina, Italy Vistoli, C. INFN, CNAF INFN-CNAF, Bologna, Italy Votano, L. GSSI, Aquila Gran Sasso Science Institute, Italy Williams, M.C.S. Enrico Fermi Ctr., Rome Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy Zichichi, A. Enrico Fermi Ctr., Rome U. Bologna, DIFA INFN, Bologna Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy Dipartimento di Fisica, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Zuyeuski, R. Enrico Fermi Ctr., Rome Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma, Italy EEE Collaboration C11011 11 C20-02-10.1 2020 JINST 15 2268736 37895 http://cds.cern.ch/record/2747235/files/gassystem.png 00008 Schematic layout for the gas recirculation system. 2268737 78520 http://cds.cern.ch/record/2747235/files/effgas.png 00010 The MRPC efficiencies and streamer fractions $\bar{s} = \frac{N_{Hits(cluster\geq 5)}}{N_{Tot Hits}}$, as a function of the high voltage, are shown for pure $R1234ze$ \textit{red} on the \textbf{left}; results from $50\% \,R1234ze + 50\% \,CO_2$ (\textit{yellow}) and $99\% \,R1234ze + 1\% \,SF 6$ (\textit{green}) on the \textbf{right}. The nominal mixture values, $98 \% \,R134a + 2\% \, SF_6$ (\textit{violet}) are shown for comparison. 2268738 10274 http://cds.cern.ch/record/2747235/files/laqu2f.png 00004 $\Delta X_2$ distributions for two EEE telescopes, LAQU-01 (\textbf{left}) and LECC-01 (\textbf{right}), located in L'Aquila and Lecce respectively. The distribution, in \textit{blue}, is evaluated using particle events with a cut on the tracks for $\chi^2 < 10$, collected in a day during the spring 2019, when the gas flow in the MRPCs was $\geq 2\;$l/h. It is compared with a similar distribution, in \textit{red}, evaluated using data from January 2020 with a gas flow $\approx 1\,$l/h, and after the sealing operations on some MRPCs. The distribution areas are not corrected for the time exposure. The relative longitudinal space resolutions $\sigma_X$ are reported in the canvas. 2268739 6771 http://cds.cern.ch/record/2747235/files/leak_rpc2.png 00003 : Leak rates distribution for the cured MRPCs (28), before (\textit{blue}) and after (\textit{red}) the sealing operations. 2268740 10141 http://cds.cern.ch/record/2747235/files/lecc2f.png 00005 $\Delta X_2$ distributions for two EEE telescopes, LAQU-01 (\textbf{left}) and LECC-01 (\textbf{right}), located in L'Aquila and Lecce respectively. The distribution, in \textit{blue}, is evaluated using particle events with a cut on the tracks for $\chi^2 < 10$, collected in a day during the spring 2019, when the gas flow in the MRPCs was $\geq 2\;$l/h. It is compared with a similar distribution, in \textit{red}, evaluated using data from January 2020 with a gas flow $\approx 1\,$l/h, and after the sealing operations on some MRPCs. The distribution areas are not corrected for the time exposure. The relative longitudinal space resolutions $\sigma_X$ are reported in the canvas. 2268741 436842 http://cds.cern.ch/record/2747235/files/fotoscheda.png 00000 : A EEE telescope in Savona, SAVO-02. 2268742 6765 http://cds.cern.ch/record/2747235/files/leak_rpc1.png 00002 : \textit{Blue}: distribution of the gas leak rates for a sample of 120 tested MRPCs. \textit{Red}: the gas leak rates for the same sample, after most of the MRPCs with a leak rate~$>0.1\;$l/h were sealed, repaired and their gas leak measured again. 2268743 19769 http://cds.cern.ch/record/2747235/files/multi_8Tele.png 00007 Multiplicity: total number of hits on the three chambers for each event. The average values, for events with multiplicity $N_{Hits}\; >\;6$ in the telescope, are reported vs. time from 8 telescopes, The trends over the time are shown for same two data samples of 13 days presented in Figure~\ref{fig:rate}. \textbf{Left}: data collected with gas flow $\geq 2\;$l/h; \textbf{right}: data with flow $\leq 1\;$l/h. 2268744 239711 http://cds.cern.ch/record/2747235/files/schematic.png 00001 : Layout of an EEE MRPC 2268745 1572740 http://cds.cern.ch/record/2747235/files/2006.16773.pdf Fulltext 2268746 18197 http://cds.cern.ch/record/2747235/files/rate_8Tele.png 00006 Muon track rates detected in a sample of 8 EEE telescopes, tested before and after the flow reduction campaign. The muon tracks are selected applying a quality cut on their $\chi^2$ value ($\chi^2 < 10$) and a correction for the telescope time exposure is implemented. The rates observed during a test period of 13 days in 2020, with a gas flow through the MRPCs $\approx 1\;$l/h, are presented on the \textbf{right}. A similar data sample taken in spring 2019 when the flow was $\geq 2\;$l/h, is shown on the \textbf{left}. LAQU-01, LAQU-02, PARM-01, SALE-02 and SAVO-01 detectors presented a gas leak $> 0.1\,$l/h in one or more MRPCs, which were repaired. 2268747 121588 http://cds.cern.ch/record/2747235/files/Effgas2.png 00009 The MRPC efficiencies and streamer fractions $\bar{s} = \frac{N_{Hits(cluster\geq 5)}}{N_{Tot Hits}}$, as a function of the high voltage, are shown for pure $R1234ze$ \textit{red} on the \textbf{left}; results from $50\% \,R1234ze + 50\% \,CO_2$ (\textit{yellow}) and $99\% \,R1234ze + 1\% \,SF 6$ (\textit{green}) on the \textbf{right}. The nominal mixture values, $98 \% \,R134a + 2\% \, SF_6$ (\textit{violet}) are shown for comparison. 13 2692559 roma20200210 C11011 ConferencePaper ARTICLE 2747041 SzGeCERN 20210422082937.0 9783030552404 electronic version electronic version 9783030552398 print version 9783030552411 print version 9783030552428 print version DOI 10.1007/978-3-030-55240-4 e-proceedings oai:cds.cern.ch:2747041 cerncds:CONF eng QA71-90 23 518 20180319 7th International Conference on High Performance Scientific Computing Hanoi, Vietnam 19 - 23 Mar 2018 2018 hanoi20180319 VN HPSC 2018 20180323 Cham Springer 2021 ebook This proceedings volume highlights a selection of papers presented at the 7th International Conference on High Performance Scientific Computing, which took place in Hanoi, Vietnam, during March 19-23, 2018. The conference has been organized by the Institute of Mathematics of the Vietnam Academy of Science and Technology, the Interdisciplinary Center for Scientific Computing (IWR) of Heidelberg University and the Vietnam Institute for Advanced Study in Mathematics. The contributions cover a broad, interdisciplinary spectrum of scientific computing and showcase recent advances in theory, methods, and practical applications. Subjects covered include numerical simulation, methods for optimization and control, machine learning, parallel computing and software development, as well as the applications of scientific computing in mechanical engineering, airspace engineering, environmental physics, decision making, hydrogeology, material science and electric circuits. Mathematics and statistics SPR202012 SzGeCERN Mathematical Physics and Mathematics SPR Computer organization SPR Control engineering SPR Robotics SPR Mechatronics SPR Human physiology SPR Computer Systems Organization and Communication Networks SPR Control, Robotics, Mechatronics SPR Human Physiology CONFERENCE PROCEEDINGS Bock, Hans ed. Jäger, Willi ed. Kostina, Ekaterina ed. Phu, Hoang ed. HPSC 2018 Acronym Modeling, Simulation and Optimization of Complex Processes 202012 SPR n 202050 42 PUBLIC https://catalogue.library.cern/legacy/2747041 PROCEEDINGS MIGRATED 2747038 SzGeCERN 20210422082939.0 9783030541361 electronic version electronic version 9783030541354 print version 9783030541378 print version 9783030541385 print version DOI 10.1007/978-3-030-54136-1 e-proceedings oai:cds.cern.ch:2747038 cerncds:CONF eng QC221-246 QC793.5.H32-793.5.H329 23 534 20190530 15th Conference on Acoustics and Vibration of Mechanical Structures Timisoara, Romania 30 - 31 May 2019 2019 timisoara20190530 15 RO AVMS 2019 20190531 Cham Springer 2021 ebook Springer proceedings in physics 251 0930-8989 Analytical approaches to nonlinear noise and vibration problems -- Environmental and occupational noise -- Structural vibration -- Biomechanics and bioacoustics -- Vibration problems in industrial processes -- Experimental approaches to vibration problems. This book contains selected and expanded contributions presented at the 15th Conference on Acoustics and Vibration of Mechanical Structures held in Timisoara, Romania, May 30-31, 2019. The conference focused on a broad range of topics related to acoustics and vibration, such as analytical approaches to nonlinear noise and vibration problems, environmental and occupational noise, structural vibration, biomechanics and bioacoustics, as well as experimental approaches to vibration problems in industrial processes. The different contributions also address the analytical, numerical and experimental techniques applicable to analyze linear and non-linear noise and vibration problems (including strong nonlinearity) and they are primarily intended to emphasize the actual trends and state-of-the-art developments in the above mentioned topics. The book is meant for academics, researchers and professionals, as well as PhD students concerned with various fields of acoustics and vibration of mechanical structures. Physics and astronomy SPR202012 SzGeCERN Engineering SPR Acoustics SPR Vibration SPR Dynamics SPR Acoustical engineering SPR Vibration, Dynamical Systems, Control SPR Numerical and Computational Physics, Simulation SPR Engineering Acoustics CONFERENCE PROCEEDINGS Herisanu, Nicolae ed. Marinca, Vasile ed. AVMS 2019 Acronym 202012 SPR n 202050 42 PUBLIC https://catalogue.library.cern/legacy/2747038 PROCEEDINGS MIGRATED 2747037 SzGeCERN 20210422082939.0 9789811583506 electronic version electronic version 9789811583490 print version 9789811583513 print version 9789811583520 print version DOI 10.1007/978-981-15-8350-6 e-proceedings oai:cds.cern.ch:2747037 cerncds:CONF eng QC1-999 23 621 20190715 12th Europe-Korea Conference on Science and Technology 2019 Vienna, Austria 15 - 18 Jul 2019 2019 vienna20190715 12 AT EKC 2019 20190718 Singapore Springer 2021 ebook Chapter 1. Novel adamantane asymmetrically substituted diketopyrrolopyrroles (Martin Cigánek, Patricie Heinrichová, Martin Weiter and Jozef Krajčovič) -- Chapter 2. Machine Learning Approach on Steel Microstructure Classification (Haon Park and Abdullah Öztürk) -- Chapter 3. Metabolomics and its Applications to Personalized Medicine (Lee Sherlock and K. H. Mok) -- Chapter 4. Partition-based Task Mapping for Communication Energy Minimization in 3D Network-on-Chip (Sanghoon Kwak) -- Chapter 5. Design of Floating Offshore Wind Turbine (FOWT) “SelfAligner (Jens Cruse, Moustafa Abdel-Maksoud, Alexander Düster, Andreas Bockstedte, Gerrit Haake, and Sönke Siegfriedsen) -- Chapter 6. Design of Highly Loaded Slewing Bearings - The Collaborative Project HBDV (Jae-Il Hwang, Jan Torben Terwey, Josephine Kelley, Felix Saure, Heinrich Peter Schönemeier, Prof. Dr.-Ing. Gerhard Poll) -- Chapter 7. Preliminary Study on Blade Trailing Edge Flap System using Flexible Torsion Bar and Worm Drive (Kwangtae Ha) -- Chapter 8. Validation of Real Time Gait Analysis Using a Single Head-Worn IMU (Tong-Hun Hwang, Julia Reh, Alfred O. Effenberg, Holger Blume) -- Chapter 9. Three-dimensional visualization of atomic ordering by Bragg ptychograpy (Chan Kim and Anders Madsen). This volume offers a selection of papers presented at the Europe-Korea Conference on Science and Technology 2019 (EKC 2019). EKC is a multi/inter/transdisciplinary conference covering all fields of science and technology, aiming to facilitate networking and collaboration between academic and industrial researchers involved in R&D, engineering, manufacturing, and application. The scope is broad, with topics covered including physics and mathematics; chemistry, materials and chemical engineering; biology, bioengineering and medical science; Earth science and environmental engineering; architecture, civil and ocean engineering; electrical, electronic, and informational engineering; mechanical, aerospace, naval, and nuclear engineering; and social science. This book showcases a selection of peer-reviewed, high-impact research results which will be of interest to a wide audience. Physics and astronomy SPR202012 SzGeCERN Science in General SPR Renewable energy resources SPR Applied mathematics SPR Engineering mathematics SPR Applied and Technical Physics SPR Renewable and Green Energy SPR Mathematical and Computational Engineering SPR Humanities and Social Sciences, multidisciplinary CONFERENCE PROCEEDINGS Park, Jong ed. Whang, Dong ed. EKC 2019 Acronym Science, Technology, and Humanity: Advancement and Sustainability 202012 SPR n 202050 42 PUBLIC https://catalogue.library.cern/legacy/2747037 PROCEEDINGS MIGRATED 2746942 SzGeCERN 20210421184416.0 9783030609634 electronic version electronic version 9783030609627 print version 9783030609641 print version 9783030609658 print version DOI 10.1007/978-3-030-60963-4 ebook oai:cds.cern.ch:2746942 cerncds:BOOK eng QC19.2-20.85 23 519 Modal view of atmospheric variability applications of normal-mode function decomposition in weather and climate research Cham Springer 2020 ebook Mathematics of planet Earth 8 2524-4264 3D Normal Mode Functions (NMFs) Of a Global Baroclinic Atmospheric Model -- Normal Mode Functions and Initialization -- Normal-Mode Functions and Atmospheric Data Assimilation -- 3D Modal Variability and Energy Transformations On The Sphere -- Generalization of Baroclinic Instability and Rossby Wave Saturation Theory -- Applications to Predictions And Climate Studies. This book reviews the theory and applications of the normal-mode functions in numerical weather prediction and weather and climate dynamics. The normal-mode functions, the eigensolutions of the linearized primitive equations describing the evolution of atmospheric winds and mass variables, have been used for a long time. They have played an important role in the development of data assimilation schemes and the initialization of numerical weather prediction models. Chapters also present how the normal modes can be applied to many theoretical and numerical problems in the atmospheric sciences, such as equatorial wave dynamics, baroclinic instability, energy transfers, and predictability across scales. Mathematics and statistics SPR202012 SzGeCERN Mathematical Physics and Mathematics SPR Atmospheric sciences SPR Environmental sciences SPR Mathematical Applications in the Physical Sciences SPR Mathematics of Planet Earth SPR Atmospheric Sciences SPR Geophysics and Environmental Physics SPR Math Appl in Environmental Science BOOK Žagar, Nedjeljka ed. Tribbia, Joseph ed. 202012 SPR n 202050 21 PUBLIC https://catalogue.library.cern/legacy/2746942 BOOK MIGRATED 2746642 SzGeCERN 20210421184423.0 9781071806463 electronic version electronic version 9781544352596 print version oai:cds.cern.ch:2746642 cerncds:BOOK EBL 6261435 eng QA13 .B477 2020 510.71273 Berry, Robert Q, III High school mathematics lessons to explore, understand, and respond to social injustice Thousand Oaks, CA SAGE Publications 2020 329 p ebook Corwin mathematics series Cover -- Contents -- Preface -- Acknowledgments -- About the Authors -- Introduction -- Why Is Teaching Mathematics for Social Justice Critical? -- This Book's Authorship -- The Contributors -- Who Is This Book for? -- The Book's Organization -- Part I: Teaching Mathematics for Social Justice -- Chapter 1: What Is Social Justice, and Why Does It Matter in Teaching Mathematics? -- What Do We Mean by Social Justice? -- What Is Teaching Mathematics for Social Justice? -- Why Social Justice in Mathematics Education? -- Conclusion -- Reflection and Action -- Chapter 2: Getting Ready for the Classroom -- Content Matters -- Context Matters -- When Matters -- How Matters -- Responding to Pushback or Backlash -- Conclusion -- Reflection and Action -- Chapter 3: Instructional Tools for the Social Justice Mathematics Lesson -- Establishing Goals -- Assessing Purposefully -- Teaching Equitably -- Managing Discourse -- Conclusion -- Reflection and Action -- Chapter 4: Teaching the Social Justice Mathematics Lesson -- Social Justice Mathematics Framework -- Element 1: Equitable Mathematics Teaching Practices -- Element 2: Authentic, Challenging Social and Mathematical Question or Concern -- Element 3: Social and Mathematical Understanding -- Element 4: Social and Mathematical Investigation -- Element 5: Social and Mathematical Reflection -- Element 6: Action and Public Product -- Planning to Implement a SJML -- Common Structures for all SJMLs -- Using the Lesson Overview to Plan -- Final Thoughts on Planning to Implement -- Last Words Before You Go Teach -- Conclusion -- Reflection and Action -- Part II: Social Justice Mathematics Lessons -- Chapter 5: Number and Quantity -- 5.1 The Mathematics of Transformational Resistance by Mary Candace Raygoza -- 5.2 Do Just Some Students Take Honors Courses? by Basil M. Conway IV. 5.3 Listen to GLSEN by Bryan Meyer and John W. Staley -- 5.4 Estimated Wealth Distribution in the United States and the World by Enrique Ortiz -- Chapter 6: Algebra and Functions -- 6.1 Children at the Border: Looking at the Numbers by Samantha Fletcher and Holly Anthony -- 6.2 Climate Change in Alaska by Basil M. Conway IV -- 6.3 Culturally Relevant Income Inequality by Andrew Reardon -- 6.4 Intersectionality and the Wage Gap by Stacy R. Jones, Carlos Nicolas Gomez, Hilary Tanck, and Eric Siy -- 6.5 Literacy: What Matters and Why? by Frances Harper and Sheila Orr -- 6.6 What's a Fair Living Wage? by Frances Harper -- 6.7 What's the Cost of Globalization? by Allyson Hallman- Thrasher and Rachael Eriksen Brown -- Chapter 7: Statistics and Probability -- 7.1 A False Positive by Bryan Meyer and Brian R. Lawler -- 7.2 Are You a Citizen? 2020 Census by Travis Weiland and Lisa Poling -- 7.3 "BBQ Becky," Policing, and Racial Justice by Mary Candace Raygoza and Laura Gorrin -- 7.4 Do Postal Codes Predict Test Scores? by Allyson Lam -- 7.5 Humanizing the Immigration Debate by Ayse Ozturk and Stephen Lewis -- 7.6 Prison Population by Cristina Tyris -- 7.7 Sampling Disaster by Ginny Powell -- Chapter 8: Geometry -- 8.1 Bringing Healthy Food Choices to the Desert by Shakiyya Bland -- 8.2 Gerrymandering by Sven A. Carlsson -- 8.3 Making Mathematical Sense of Food Justice by Jessica Davidson, Steven Greenstein, Debasmita Basu, and Jules Davidson -- 8.4 Paralympics by Hilary Tanck, Eric Siy, Stacy R. Jones, and Carlos Nicolas Gomez -- Part III: Next Steps -- Chapter 9: Advice From the Field -- Successes Implementing SJMLs -- Planning for and Responding to Challenges -- Additional Advice to Colleagues Implementing SJMLs -- Conclusion -- The Value of Teaching Mathematics for Social Justice -- Closing Thoughts from Our Contributors. Chapter 10: Creating Social Justice Mathematics Lessons for Your Own Classroom -- Setting a Framework for an Effective SJML -- Element 1: Equitable Mathematics Teaching Practices -- Element 2: Authentic, Challenging Social and Mathematical Question or Concern -- Element 3: Social and Mathematical Understanding -- Element 4: Social and Mathematical Investigation -- Element 5: Social and Mathematical Reflection -- Element 6: Action and Public Product -- Summary -- Getting Started -- Step 1: Learn About Relevant Social Injustices -- Step 2: Identify the Mathematics -- Step 3: Establish Your Goals -- Step 4: Determine How You Will Assess Your Goals -- Step 5: Create a Social Justice Question for the Lesson -- Step 6: Design the Student Resources for the Investigation -- Step 7: Plan for Reflection and Action -- Final Words -- Appendix A: Additional Resources -- Appendix B: Lesson Resources -- Appendix C: NCTM Essential Concepts for High School Mathematics -- Appendix D: Social Justice Standards and Topics -- Appendix E: Lessons by Mathematics Essential Concepts, Social Justice Outcomes, and Social Justice Topics -- Appendix F: Social Justice Mathematics Lesson Planner -- References -- Index. High School Mathematics Lessons to Explore, Understand, and Respond to Social Injustice Empower students to be the change- join the teaching mathematics for social justice movement! This book explains how to teach mathematics for self- and community-empowerment. It walks teachers step-by-step through the process of using mathematics-across all high school content domains-as a tool to explore issues of social injustice including: environmental injustice; wealth inequality; food insecurity; and gender, LGBTQ, and racial discrimination. This book features ·            Content cross-referenced by mathematical concept and social issue ·            Downloadable instructional materials ·            User-friendly and logical interior design ·            Guidance for designing and implementing social justice lessons driven by your own students' unique passions and challenges. EBL202012 XX SzGeCERN EBL Mathematics-Study and teaching (Secondary)-United States BOOK Conway, Basil M, IV Lawler, Brian R Staley, John W https://cds.cern.ch/auth.py?r=EBLIB_P_6261435 ebook n 202049 202012 21 PUBLIC https://catalogue.library.cern/legacy/2746642 BOOK MIGRATED 2746637 SzGeCERN 20210421184424.0 9780128231616 electronic version electronic version 9780128196052 print version oai:cds.cern.ch:2746637 cerncds:BOOK EBL 6260980 eng TK7871.89.L53 .N357 2020 621.381522 Dhoble, Sanjay J The fundamentals and applications of light-emitting diodes the revolution in the lighting industry San Diego, CA Elsevier Science & Technology 2020 286 p ebook Woodhead Publishing series in electronic and optical materials Cover -- The Fundamentals and Applications of Light-Emitting Diodes -- The Fundamentals and Applications of Light-Emitting Diodes -- Copyright -- Contents -- One - Fundamentals -- 1 - Introduction to luminescence -- 1.1 Characteristics and quality of light -- 1.2 Conceptual background of luminescence -- 1.3 Luminescence mechanisms -- 1.3.1 Photoluminescence -- 1.3.1.1 Intrinsic luminescence -- 1.3.1.2 Extrinsic luminescence -- 1.3.2 Electroluminescence -- 1.4 Luminescence from rare-earth ions and transition metal ions -- 1.4.1 Rare-earth ions -- 1.4.1.1 4f-4f transition -- 1.4.1.2 4f-5d transition -- 1.4.2 Transition metal ions -- 1.5 Historical background -- 1.5.1 The advent of light -- 1.5.2 The first generation of lighting -- 1.5.3 The second generation of lighting -- 1.5.4 The third generation of lighting -- 1.5.5 The fourth generation of lighting -- 1.6 Conclusions -- References -- 2 - Fundamentals of LEDs -- 2.1 Overview of LEDs -- 2.2 Merits and opportunities -- 2.3 Considerations while using LEDs -- 2.4 Semiconductor physics of LEDs -- 2.4.1 General construction -- 2.4.2 Working principle -- 2.5 Device fabrication -- 2.5.1 Substrate materials -- 2.5.2 Packaging materials -- 2.5.3 Phosphors or quantum dots -- 2.5.4 Encapsulation materials -- 2.5.5 Luminaires -- 2.6 Characteristics of LED phosphors -- 2.6.1 Temperature quenching -- 2.6.2 Luminous efficacy -- 2.6.3 Color rendering index -- 2.6.4 CIE chromaticity coordinates -- 2.6.5 Correlated color temperature -- 2.6.6 Quantum efficiency -- 2.6.7 Life span -- 2.7 Concluding remarks -- References -- Two - Materials -- 3 - Semiconductor LEDs -- 3.1 Introduction -- 3.2 Growth techniques -- 3.2.1 Liquid-phase epitaxy -- 3.2.2 Vapor-phase epitaxy -- 3.2.3 Molecular beam epitaxy -- 3.2.4 Metal-organic chemical vapor deposition -- 3.3 Semiconductor materials for light-emitting diodes. 3.3.1 III-arsenides -- 3.3.2 III-phosphides -- 3.3.3 III-nitrides -- 3.4 Conclusions -- References -- 4 - Phosphor-converted LEDs -- 4.1 Phosphor -- 4.2 Dopant and its types -- 4.2.1 Activator -- 4.2.2 Coactivator -- 4.2.3 Sensitizer -- 4.3 Synthesis of inorganic phosphors -- 4.3.1 Solid-state diffusion -- 4.3.2 Sol-gel/Pechini -- 4.3.3 Combustion synthesis -- 4.3.4 Precipitation method -- 4.3.5 Solvothermal method -- 4.3.6 Microwave-assisted method -- 4.3.7 Sonochemical synthesis -- 4.3.8 Template-assisted method -- 4.3.9 Laser ablation -- 4.3.10 Spray pyrolysis -- 4.3.11 Microemulsions -- 4.3.12 Vapor deposition -- 4.3.13 Colloidal route -- 4.4 Red/orange-emitting phosphors -- 4.5 Yellow-emitting phosphors -- 4.6 Green-emitting phosphors -- 4.7 Blue-emitting phosphors -- 4.8 White-emitting phosphors -- 4.9 Color-tunable phosphors -- 4.10 Conclusions -- References -- 5 - Advanced variants of LEDs -- 5.1 Introduction -- 5.2 MicroLEDs -- 5.3 Organic light-emitting diodes -- 5.4 Quantum dot light-emitting diodes -- 5.5 Perovskite light-emitting diodes -- 5.6 BioLEDs -- 5.7 Conclusions -- References -- Three - Applications -- 6 - General lighting -- 6.1 Introduction -- 6.2 Light-emitting diodes for lighting applications -- 6.2.1 Interior lighting -- 6.2.2 Street lighting -- 6.2.3 Automobile lighting -- 6.3 Advantages of light-emitting diode lighting -- 6.4 Innovations in light-emitting diode lighting -- 6.5 Conclusions -- References -- 7 - Digital communications and display devices -- 7.1 Introduction -- 7.2 Digital communications -- 7.2.1 Evolution of light-emitting diode technology for communication -- 7.2.2 Future prospects -- 7.3 Display technology -- 7.3.1 Advancement in display devices -- 7.3.2 Current and future prospects in display technology -- 7.4 Conclusions -- References -- 8 - Biomedical applications -- 8.1 Introduction. 8.2 Skin rejuvenation -- 8.3 Photodynamic therapy -- 8.4 Cure for mental disorders -- 8.5 Cure for other disorders -- 8.6 Food safety -- 8.7 Other health and environmental benefits -- 8.8 Conclusions -- References -- 9 - Horticultural applications -- 9.1 Introduction -- 9.2 Plant's response to light -- 9.3 Light-emitting diode versus other types of grow-lights -- 9.3.1 Incandescent lamps -- 9.3.2 Fluorescent lamps -- 9.3.3 High intensity discharge -- 9.3.4 Metal halide -- 9.3.5 High-pressure sodium -- 9.3.6 Plasma -- 9.3.7 Induction light -- 9.4 Light-emitting diodes in horticulture -- 9.5 Significance of light-emitting diode grow-lights -- 9.6 Current market scenario -- 9.7 Conclusions -- References -- 10 - Current trends and innovations -- 10.1 Introduction -- 10.2 Overview on the past and present trends in LEDs -- 10.3 Innovations in the structure and designing of LEDs -- 10.4 Innovations in the applications of LEDs -- 10.5 Innovations in fashion -- 10.6 Current scenario of LED market -- 10.7 Limitations and challenges -- 10.8 Future prospects and scope -- 10.9 Conclusions -- References -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- V -- W -- Y -- Z -- Backcover. EBL202012 XX SzGeCERN BOOK Nair, Govind B https://cds.cern.ch/auth.py?r=EBLIB_P_6260980 ebook n 202049 202012 21 PUBLIC https://catalogue.library.cern/legacy/2746637 BOOK MIGRATED 2746627 SzGeCERN 20210421184424.0 9780128166024 electronic version electronic version 9780128162491 print version oai:cds.cern.ch:2746627 cerncds:BOOK EBL 5966927 eng TJ808 .R435 2020 621.042 Redko, Andriy Low-temperature energy systems with applications of renewable energy San Diego, CA Elsevier Science & Technology 2019 396 p ebook Front Cover -- Low-Temperature Energy Systems with Applications of Renewable Energy -- Low-Temperature Energy Systems with Applications of Renewable Energy -- Copyright -- Dedication -- Contents -- About the authors -- Preface -- Acknowledgments -- 1 - Principles and operation of refrigeration and heat pump systems -- 1.1 Trends in usage of low-temperature technologies -- 1.2 Worldwide energy saving policies -- 1.3 Fundamentals of energy management and audit of refrigeration and heat pump facilities -- 1.4 Energy-saving cooling and heat pump systems -- 1.4.1 Physical principles of heat pumps and cooling systems -- 1.4.2 Qualitative description of vapor-compression heat pump operation -- 1.4.3 Historical facts on heat pumps -- 1.5 Efficiency of heat pump and refrigeration systems -- 1.5.1 Ideal measures of performance -- 1.5.2 Thermodynamic efficiency of vapor compression heat pumps -- Example 1 - Basic vapor-compression heat pump -- 1.5.3 Thermodynamic efficiency of vapor compression refrigerators -- Example 2 - Basic vapor-compression refrigerator -- 1.5.4 Thermodynamic efficiency of sorption refrigerating machines -- 1.5.5 Heat-driven, 3-fluid absorption refrigerator -- 1.5.6 Exergy assessment of heat pumps -- Example 3 - Exergy analysis of basic vapor-compression heat pump -- 1.6 Working fluids for refrigeration and heat pumps systems -- 1.6.1 Antifreeze solutions -- 1.6.2 Evolution of refrigerants -- 1.6.3 Summary: Basic requirements for working fluids -- 1.7 Operating modes of heat pumps -- 1.7.1 Flexible heating and cooling -- 1.7.2 Heating mode design guidelines -- 1.7.3 Monovalent and bivalent operating modes -- 1.8 Accumulation and transport of low-temperature energy -- 1.9 Summary -- Nomenclature -- Greek letters -- Subscripts -- Review questions -- Exercises -- References. 2 - Characteristics of low-temperature energy sources for heat pumps -- 2.1 Ambient air usage in space conditioning -- 2.2 Building and construction ventilation air -- 2.2.1 Residences and multi-story apartment buildings -- 2.2.1.1 "Air-air" ventilation systems -- 2.2.1.2 "Ventilation air-water" heat pump -- 2.2.2 Underground constructions -- 2.3 Natural water as a source of energy -- 2.3.1 Well water -- 2.3.2 Water of open ponds -- 2.3.3 Ocean water surface layers -- 2.4 Industrial water as an energy source for heat pumps -- 2.4.1 Cooling water discharge from thermal power stations -- 2.4.2 Recycled district heating water using extraction steam from thermal power stations -- 2.4.3 Sewer drains -- 2.4.3.1 Sewer water -- 2.4.3.2 Conventionally pure building sewer drains -- 2.4.4 Waste water heat of industrial enterprises -- 2.5 Use of soil heat -- 2.5.1 Horizontal in-ground heat exchangers -- 2.5.2 Vertical in-ground heat exchangers -- 2.6 Optimal usage of low-temperature heat sources -- 2.6.1 Specific external energy losses for HPHS using different energy sources -- 2.6.2 Optimum degree of cooling in heat pump evaporator -- 2.6.2.1 Ambient air as heat source -- 2.6.2.2 Natural or waste water as heat source -- 2.6.2.3 Soil as heat source -- 2.7 Summary -- Nomenclature -- Symbols and acronyms -- Greek symbols -- Review questions -- Example: sizing a European residential ground-source heat pump -- Exercises -- References -- 3 - Effective use of heat pumps for various heating applications -- 3.1 Heat pumps in individual and multi-family residences -- 3.1.1 Energy efficient houses -- 3.1.2 Addressing the low ambient temperature problem -- 3.1.3 Combined heat pump systems -- 3.1.4 Heating with ice: An efficient and inexpensive source of energy for heat pumps -- 3.1.5 Heat pump performance calculations -- 3.2 Heat pumps for indoor and outdoor pools. 3.2.1 Indoor pools -- 3.2.2 Outdoor pools -- 3.3 Heat pumps for heating buildings and public premises -- 3.3.1 Ventilation systems -- 3.3.1.1 Ventilation with an exhaust air heat recovery unit -- 3.3.1.2 Ventilation with heat recovery and exhaust air recirculation -- 3.3.2 Air heating systems -- 3.3.2.1 Air heating using the heat of ambient air -- 3.3.2.2 Air heating and ventilation with heat recovery unit and recirculation of exhaust air -- 3.3.3 Hot water heating systems, hot water, and air-conditioning facilities -- 3.3.4 Examples of effective use of heat pumps -- 3.3.4.1 Airports -- 3.3.4.2 Office buildings -- 3.3.4.3 Lotte World Tower -- 3.4 Water-loop heat pump systems -- 3.5 Heat pumps in district heating systems -- 3.5.1 Heat pumps with electric-powered compressor -- 3.5.2 Heat pumps with diesel driven compressor -- 3.5.3 Heat pumps with gas turbine driven compressor -- 3.5.4 Impact of condensers and evaporators on heat pump efficiency -- 3.5.5 Absorption refrigeration and absorption heat pumps in heat supply systems -- 3.5.6 Economic comparison of the efficiency of various heat sources -- 3.6 Summary -- Nomenclature -- Greek letters -- Subscripts -- Review questions -- Exercises -- References -- 4 - Heat pumps in the drying industry(1) -- 4.1 Introduction and overview of drying using heat pumps -- 4.1.1 Case A: Basic open system using ambient air -- 4.1.2 Case B: Open system using ambient air with a heat recuperator -- 4.1.3 Case C: Open system using ambient air with a heat pump -- 4.1.4 Case D: Open system using ambient air with a heat pump and auxiliary heater -- 4.1.5 Case E: Closed-air system with a HP and dehumidification-recirculation -- 4.1.6 Case F: Closed-air system with a HP, dehumidification-recirculation and bypass. 4.1.7 Case G and Case H: Basic open system using ambient air with partial recirculation (Case G) and partial recirculation and HP ... -- 4.2 Experience with heat pumps for various drying applications -- 4.3 Grain drying with heat pumps -- 4.4 Wood drying with heat pumps -- 4.5 Summary -- Nomenclature -- Greek letters -- Subscripts -- Review questions -- Example -- Exercise -- References -- 5 - Heating with geothermal systems -- 5.1 Geothermal direct heat usage: International experience -- 5.2 Modern technology, geothermal field development, and geothermal heating systems -- 5.2.1 Exploration -- 5.2.1.1 Geological observations -- 5.2.1.2 Geochemical techniques -- 5.2.1.3 Geophysical assessment -- 5.2.1.4 Synthesis of findings -- 5.2.2 Drilling -- 5.2.3 Development -- 5.3 Geothermal district heating systems -- 5.3.1 Chaudes-Aigues, France -- 5.3.2 Boise, Idaho, USA -- 5.3.2.1 Boise Warm Springs Water District (BWSWD) -- 5.3.2.2 State of Idaho Capitol Mall (SICM) -- 5.3.2.3 City of Boise (CB) -- 5.3.2.4 Veteran's Administration (VA) -- 5.4 Geothermal heated greenhouses -- 5.4.1 Basic concepts and engineering -- 5.4.2 Case study: Cuckoo Polder, Netherlands -- 5.5 Geothermal aquaculture -- 5.5.1 Introduction -- 5.5.2 Case studies: prawn, salmon and arctic char farming -- 5.5.3 Case study: alligator and crocodile farming -- 5.6 Heating circuits with single- and two-stage heat pump systems -- 5.6.1 Single-stage heat pumps -- 5.6.2 Two-stage and multi-stage heat pumps -- 5.6.3 Cascade heating circuit installation -- 5.7 Summary -- Nomenclature -- Greek letters -- Subscripts -- Review questions -- Exercises -- Acknowledgments -- References -- 6 - Geothermal energy in combined heat and power systems(1) -- 6.1 Introduction to geothermal CHP systems -- 6.2 Generic CHP system: thermo-economic analysis -- 6.3 Cycle choices for geothermal CHP plant. 6.3.1 Dry- and flash-steam plants -- 6.3.2 Organic Rankine cycles -- 6.3.3 Cascade geothermal CHP stations -- 6.4 Working fluid selection criteria in CHP stations -- 6.4.1 Thermodynamic factors -- 6.4.2 Environmental, health and safety factors -- 6.5 Optimization of geothermal CHP cycles -- 6.5.1 Thermal and exergetic efficiencies -- 6.5.2 Exergy loss in system components -- 6.5.3 Exergy losses in CHP plants -- 6.6 Case studies -- 6.6.1 Kakkonda-Shizukuishi, Honshu, Japan -- 6.6.2 Oregon Institute of Technology (OIT), Klamath Falls, U.S. -- 6.7 Summary -- Nomenclature -- Subscripts -- Review questions -- Exercises -- Acknowledgments -- References -- 7 - Biofuels conversion: energy-saving processes and use of biogas(1) -- 7.1 World usage and basic processes of bioconversion technology -- 7.2 Technical description of bioreactor processes -- 7.3 Energy-saving systems for biogas-producing plants -- 7.4 Bioreactor calculations -- 7.5 Efficiency of biofuel usage in energy supply systems -- 7.6 Systems for heat supply using thermochemical organic wastes -- 7.7 Pyrolysis boiler systems -- 7.8 Summary -- Nomenclature -- Greek letters -- Subscripts -- Review questions -- Exercises -- References -- 8 - Hybrid systems with renewable energy sources -- 8.1 Solar electric power stations: A brief overview with examples -- 8.1.1 Solar insolation -- 8.1.2 Large-scale photovoltaic power stations -- 8.1.3 Floating photovoltaic power stations -- 8.1.4 Co-located solar hybrid plants -- 8.2 Solar thermal heating systems -- 8.3 Solar assisted heat pumps in heating systems -- 8.3.1 Solar energy as a bottoming source of heat for heat pumps -- 8.3.2 Solar energy as a topping source of heat for ground-source heat pumps -- 8.3.3 Direct use of solar energy as a bottom source of heat for a heat pump -- 8.4 Combined geothermal and heat pump heating systems. 8.4.1 Schemes for geothermal heating systems. EBL202012 XX SzGeCERN BOOK Redko, Oleksandr DiPippo, Ronald Lund, John W https://cds.cern.ch/auth.py?r=EBLIB_P_5966927 ebook n 202049 202012 21 PUBLIC https://catalogue.library.cern/legacy/2746627 BOOK MIGRATED 2746625 SzGeCERN 20210421184424.0 9780128134764 electronic version electronic version 9780128134757 print version oai:cds.cern.ch:2746625 cerncds:BOOK EBL 5456803 eng HE7711 .S836 2018 621.38275 YE, Yin-can Submarine optical cable engineering San Diego, CA Elsevier Science & Technology 2018 376 p ebook Front Cover -- Submarine Optical Cable Engineering -- Submarine Optical Cable Engineering -- Copyright -- Contents -- List of Contributors -- Foreword -- Preface -- Acknowledgments -- Introduction -- 1 - INTRODUCTION -- 1.1 SOME BASIC KNOWLEDGE RELATED TO SUBMARINE OPTICAL CABLE COMMUNICATION -- 1.1.1 OPTICAL FIBER STRUCTURE AND OPTICAL TRANSMISSION CHARACTERISTICS -- 1.1.1.1 Propagation Characteristics of Light -- 1.1.1.2 Structure of Optical Fiber -- 1.1.1.3 Optical Fiber Transmission Characteristics -- 1.1.1.4 Optical Fiber Classification and Submarine Optical Cable Fiber Selection -- 1.1.2 STRUCTURES AND TYPES OF SUBMARINE OPTICAL CABLE -- 1.1.2.1 Structure of Submarine Optical Cable -- 1.1.2.2 Submarine Optical Cable Type -- 1.1.2.3 Submarine Optical Cable Characteristics -- 1.1.2.4 Comparison of the Characteristics of Various Types of Submarine Optical Cable -- 1.1.3 SUBMARINE CABLE COMMUNICATION TECHNOLOGY FEATURES -- 1.2 SUBMARINE OPTICAL CABLE SYSTEM COMPOSITION AND NETWORKING MODE -- 1.2.1 SUBMARINE CABLE SYSTEM COMPOSITION -- 1.2.1.1 Sea Equipment -- 1.2.1.2 Submarine Optical Cable Landing Station Equipment -- 1.2.2 SUBMARINE CABLE SYSTEM NETWORKING MODE -- 1.2.2.1 Point-to-Point Networking -- 1.2.2.2 Ring Networking Mode -- 1.2.2.3 Branch-Shaped Networking -- 1.2.2.4 Hybrid Topology Networking -- 1.3 DEVELOPMENT HISTORY OF SUBMARINE COMMUNICATION ENGINEERING -- 1.3.1 INVENTION AND DEVELOPMENT OF THE SUBMARINE TELEGRAPH CABLE -- 1.3.2 INVENTION AND DEVELOPMENT OF THE SUBMARINE COAXIAL COMMUNICATION CABLE -- 1.3.3 INVENTION AND DEVELOPMENT OF SUBMARINE OPTICAL CABLE COMMUNICATION -- 2 - MARINE NATURAL GEOGRAPHY AND SEA BOUNDARY DIVISION -- 2.1 SEA AND LAND DISTRIBUTION ON THE EARTH'S SURFACE -- 2.2 NATURAL GEOGRAPHY OF CHINA OFFSHORE -- 2.2.1 CHINA'S OFFSHORE GEOGRAPHICAL LOCATION -- 2.2.2 SEABED TOPOGRAPHY AND LANDFORMS. 2.2.2.1 Seabed Topography -- 2.2.2.2 Seabed Landforms -- 2.2.3 SEABED SEDIMENTS -- 2.2.4 CLIMATIC FACTORS AND THE HYDROLOGICAL ENVIRONMENT -- 2.2.4.1 Climatic Factors of the Offshore Sea Area of China -- 2.2.4.2 Tide and Tide Current -- 2.2.4.3 Waves -- 2.2.5 MARINE DISASTERS -- 2.2.5.1 Typhoons -- 2.2.5.2 Storm Surges -- 2.2.5.3 Sea Waves -- 2.2.5.4 Sea Ice -- 2.2.5.5 Sea Earthquakes -- 2.2.5.6 Tsunamis -- 2.2.5.7 Coastal Erosion -- 2.2.5.8 Submarine Landslides -- 2.2.5.9 Submarine Turbidity -- 2.3 LAW OF THE SEA AND SEA BOUNDARY DIVISION -- 2.3.1 INTERNATIONAL CONVENTION ON THE LAW OF THE SEA -- 2.3.1.1 Baselines of the Territorial Sea -- 2.3.1.2 Internal Waters -- 2.3.1.3 Territorial Sea -- 2.3.1.4 Contiguous Zone -- 2.3.1.5 Straits for International Voyages -- 2.3.1.6 Archipelagic Waters -- 2.3.1.7 Exclusive Economic Zone -- 2.3.1.8 Continental Shelf -- 2.3.1.9 High Seas -- 2.3.1.10 International Seabed Areas -- 2.3.1.11 Innocent Passage -- 2.3.2 CHINA'S TERRITORIAL SEA SYSTEM -- 3 - GENERAL LAYOUT AND CHARACTERISTICS OF THE SUBMARINE OPTICAL CABLE SYSTEM IN CHINA -- 3.1 INTERNATIONAL SUBMARINE OPTICAL CABLE SYSTEM -- 3.1.1 CONSTRUCTION OF THE INTERNATIONAL SUBMARINE OPTICAL CABLE SYSTEM IN CHINA -- 3.1.1.1 China-Japan Fiber-Optic Submarine Cable System -- 3.1.1.2 China-Korea Fiber-Optic Submarine Cable System -- 3.1.1.3 Fiber-Optic Link Around the Globe -- 3.1.1.4 South-East Asia-Middle East-West Europe 3 -- 3.1.1.5 China-US Cable Network System -- 3.1.1.6 Asia Pacific Cable Network 2 -- 3.1.1.7 East Asia Crossing City-to-City Cable System -- 3.1.1.8 Trans-Pacific Express -- 3.1.1.9 Asia-American Gateway -- 3.1.1.10 South-East Asia Japan Cable System -- 3.1.1.11 Asia Pacific Gateway -- 3.1.2 LAYOUT AND CHARACTERISTICS OF THE INTERNATIONAL SUBMARINE OPTICAL CABLE SYSTEM IN CHINA -- 3.1.2.1 Qingdao Landing Point. 3.1.2.2 Chongming Landing Point in Shanghai -- 3.1.2.3 Nanhui Landing Point in Shanghai -- 3.1.2.4 Shantou Landing Point -- 3.1.2.5 Hong Kong Landing Point -- 3.1.2.6 Macau Landing Point -- 3.1.2.7 Taiwan Landing Location -- 3.2 CHINA'S DOMESTIC SUBMARINE OPTICAL CABLE SYSTEM -- 3.2.1 BUILDING PROGRESS -- 3.2.1.1 Land-Island and Island-Island Submarine Optical Cable -- 3.2.1.2 Submarine Optical Cables Between Offshore Oil and Gas Engineering and the Land, and Between Platforms -- 3.2.1.3 Submarine Scientific Observatory Network -- 3.2.2 DISTRIBUTION CHARACTERISTICS -- 3.3 DISPOSAL REASONS AND ABANDONED PROGRAMS OF SUBMARINE OPTICAL CABLE -- 3.3.1 DISPOSAL REASONS -- 3.3.1.1 Abandoned Due to Serious Damage or Over Service Life -- 3.3.1.2 Abandonment Due to Outdated Technology -- 3.3.1.3 Other Reasons -- 3.3.2 ABANDONED PROGRAMS -- 3.3.2.1 Discarded in Situ -- 3.3.2.2 Salvage and Recycling -- 3.3.2.3 Turning to Other Uses -- 3.3.3 ANALYSIS OF ABANDONED SUBMARINE OPTICAL CABLES IN CHINA -- 3.3.3.1 International Submarine Optical Cable -- 3.3.3.2 Domestic Submarine Optical Cable -- 4 - DESKTOP STUDY OF SITE SELECTION FOR SUBMARINE OPTICAL CABLE ENGINEERING -- 4.1 SITE SELECTION PRINCIPLES AND WORKING PROCEDURES OF THE SUBMARINE OPTICAL CABLE PROJECT -- 4.1.1 PROJECT SITE SELECTION PRINCIPLES -- 4.1.1.1 Landing Point Selection -- 4.1.1.2 Marine Route Selection -- 4.1.2 PROJECT SITE SELECTION PROCEDURES -- 4.1.2.1 Data Collection and Investigation -- 4.1.2.2 Landing Site Visit -- 4.1.2.3 Report Compilation -- 4.1.3 DESKTOP STUDY REPORT -- 4.1.3.1 The Contents of the Desktop Study Report -- 4.1.3.2 Chart Compilation Requirements -- 4.2 EXAMPLES OF SITE SELECTION FOR THE SUBMARINE OPTICAL CABLE PROJECT -- 4.2.1 CHINA-JAPAN SUBMARINE FIBER OPTIC CABLE SYSTEM -- 4.2.2 CHINA-US CABLE NETWORK -- 4.2.2.1 Landing Point Location. 4.2.2.2 The Route Selection in the East China Sea -- 4.2.2.3 The Route Selection in the South China Sea -- 4.2.3 ASIA PACIFIC CABLE NETWORK 2 -- 4.2.3.1 Segment 3 and Segment 4 Route in the East China Sea -- 4.2.3.2 Shantou Landing Point and Segment 7 and Segment 8 Route in the South China Sea -- 4.2.3.3 Hong Kong Landing Point and Segment 2 and Segment 3 Route in the South China Sea -- 4.2.4 CITY-TO-CITY CABLE SYSTEM -- 4.2.5 TRANS-PACIFIC EXPRESS -- 4.2.5.1 Chongming Landing Point, Shanghai -- 4.2.5.2 Trans-Pacific Express S1S Route -- 4.2.5.3 Trans-Pacific Express S4 Route -- 4.2.6 INTRA-ASIA CABLE SYSTEM -- 4.2.7 TAIWAN STRAIT EXPRESS-1 -- 4.2.8 ASIA PACIFIC GATEWAY -- 4.2.8.1 Segment 3 of Asia Pacific Gateway -- 4.2.8.2 Segment 4 of Asia Pacific Gateway -- 5 - ENGINEERING SITE SURVEY FOR SUBMARINE OPTICAL CABLE -- 5.1 THE PURPOSE AND CONTENTS OF SURVEY -- 5.1.1 THE PURPOSE OF SURVEY -- 5.1.2 THE CONTENTS OF SURVEY -- 5.1.2.1 Water Depth and Seabed Topography -- 5.1.2.2 Seabed Condition and Obstacles on the Seafloor -- 5.1.2.3 Sub-Bottom Stratigraphic Characteristics -- 5.1.2.4 Geological Hazard Factors -- 5.1.2.5 Physical and Mechanical Properties of the Seabed Material -- 5.1.2.6 Marine Hydrologic and Meteorologic Elements -- 5.1.2.7 Corrosive Environmental Parameters -- 5.1.2.8 Marine Planning and Development Activities -- 5.2 SURVEY PROCEDURES AND TECHNICAL METHODS -- 5.2.1 SURVEY PROCEDURES -- 5.2.1.1 Preliminary Data Collection -- 5.2.1.2 Formulation of Implementation Plan -- 5.2.1.3 Maritime Survey -- 5.2.1.4 Laboratory Testing -- 5.2.1.5 Data Processing and Interpretation -- 5.2.1.6 Preparation of Drawings and Reports -- 5.2.2 SURVEY TECHNIQUE AND METHODS -- 5.2.2.1 Navigation and Positioning -- 5.2.2.2 Engineering Geophysical Survey -- 5.2.2.3 Engineering Geological Survey. 5.2.2.4 Field Observation of Hydrological and Meteorological Factors -- 5.2.2.5 Observations of Marine Development Activities -- 5.3 CABLE ROUTING CONDITION EVALUATION AND ROUTE SURVEY REPORT COMPILATION -- 5.3.1 ROUTING CONDITION EVALUATION -- 5.3.1.1 Evaluation of Engineering Geological Conditions -- 5.3.1.2 Marine Hydrologic and Meteorologic Environment Assessment -- 5.3.1.3 Seismic Safety Evaluation -- 5.3.1.4 Marine Planning and Development Activities -- 5.3.2 ROUTE SURVEY REPORT AND MAP COMPILATION -- 5.3.2.1 Route Survey Report Compilation -- 5.3.2.2 Map Compilation -- 6 - INSTALLATION OF THE SUBMARINE OPTICAL CABLE -- 6.1 INSTALLATION EQUIPMENT FOR SUBMARINE OPTICAL CABLE -- 6.1.1 SUBMARINE CABLE SHIP -- 6.1.1.1 The Development and History of the Submarine Cable Ship -- 6.1.1.2 Characteristics of the Modern Submarine Cable Ship -- 6.1.1.3 Development Prospects of the Submarine Cable Ship -- 6.1.2 BURIAL EQUIPMENT -- 6.1.2.1 Cable Burial Machine -- 6.1.2.2 Remote-Operating Vehicle -- 6.1.2.3 Professional Cable Installation Software -- 6.2 INSTALLATION TECHNIQUE FOR SUBMARINE OPTICAL CABLE -- 6.2.1 SUBMARINE CABLE LOADING -- 6.2.1.1 Basic Cable Loading Procedures -- 6.2.1.2 Technical Requirements for Cable Loading -- 6.2.2 SUBMARINE CABLE INSTALLATION -- 6.2.2.1 Landing Installation -- 6.2.2.2 Burial Installation -- 6.2.2.3 Laying Installation -- 7 - MAINTENANCE OF SUBMARINE OPTICAL CABLE -- 7.1 INTERNATIONAL ORGANIZATIONS FOR THE PROTECTION OF SUBMARINE CABLE AND RELATED LAWS -- 7.1.1 INTERNATIONAL CABLE PROTECTION COMMITTEE -- 7.1.1.1 Generation and Main Functions of the International Cable Protection Committee -- 7.1.1.2 Composition of Members of the International Cable Protection Committee -- 7.1.1.3 Role of the International Cable Protection Committee -- 7.1.2 RELEVANT LAWS FOR THE PROTECTION OF INTERNATIONAL SUBMARINE CABLE. 7.1.2.1 Relevant International Laws for the Protection of Submarine Cable. EBL202012 XX SzGeCERN BOOK Jiang, Xinmin Pan, Guofu Jiang, Wei https://cds.cern.ch/auth.py?r=EBLIB_P_5456803 ebook n 202049 202012 21 PUBLIC https://catalogue.library.cern/legacy/2746625 BOOK MIGRATED 2750322 20251201182934.0 oai:cds.cern.ch:2750322 cerncds:TALK eng CERN. Geneva CS3 2021- Cloud Storage Synchronization and Sharing - 2021-01-26T09:15:00 2021-01-26T09:30:00 970232c136 SWAN, Rucio, and Jupyter 2021 2021-01-26 978 Streaming video HEP Computing CS3 2021- Cloud Storage Synchronization and Sharing 2021-01-26T09:15:00 <!--HTML-->The LHC experiments at CERN produce an enormous amount of scientific data. One of the main computing challenges is to make such data easily accessible by scientists and researchers. Technologies and services are being developed at CERN and at partner institutes to face this challenge, ultimately allowing to turn scientific data into knowledge. SWAN (Service for Web-based ANalysis) is a platform allowing CERN users to perform interactive data analysis directly using a web browser. This service builds on top of the widely-adopted Jupyter Notebooks. It integrates storage, synchronisation, and sharing capabilities of CERNBox and the computational power of Spark/Hadoop clusters. Both scientists at CERN and at partner institutes are using SWAN on a daily basis to develop algorithms required to perform their data analysis. Full analyses can be performed using Notebooks as long as all the required data are available locally. The Rucio data management system was principally developed by the ATLAS experiment to deal with Exabytes of data in a scalable, modular, and reliable way. Nowadays, Rucio has become the de-facto data management system in High Energy Physics and many other scientific communities such as astronomy, astrophysics, or environmental sciences are evaluating and adopting it. In the Exabytes-scale era, the challenge to move large amounts of data in the local file system of a Notebook is faced on a daily basis by each individual scientist, causing duplication of effort and delaying the analysis results. The integration of Rucio in the Jupyter Notebook environment is a challenging but necessary R&D activity from which the worldwide scientific community would greatly benefit. Starting from an idea at the previous CS3 conference, in less than a year a JupyterLab extension was developed and tested in the context of Google Summer of Code and the EU-funded project ESCAPE. This extension integrates Rucio functionalities inside the JupyterLab UI, to link experiment data into notebooks that require them, and to transparently make the data present in the ESCAPE DataLake available using Rucio. CERN 2021 HEP Computing Event TALK CERN Lassnig, Mario speaker CERN https://indico.cern.ch/event/970232/contributions/4157927/ Talk details https://indico.cern.ch/event/970232/ Event details MediaArchive /mnt/master_share/master_data/2021/970232c136 Absolute master path MediaArchive /2021/970232c136/970232c136_en.vtt subtitle subtitle English MediaArchive /2021/970232c136/970232c136_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2021/970232c136/970232c136-posterframe-640x360-at-5.0-percent.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2021/970232c136/970232c136-2000-kbps-1280x720-25-fps-audio-96-kbps-44-kHz-stereo.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 2000 MediaArchive https://lecturemedia.cern.ch/2021/970232c136/970232c136-4000-kbps-1920x1080-25-fps-audio-96-kbps-44-kHz-stereo.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 4000 MediaArchive https://lecturemedia.cern.ch/2021/970232c136/970232c136-512-kbps-426x240-25-fps-audio-96-kbps-44-kHz-stereo.mp4 video/mp4 Content: presenter. Resolution: 426x240. Baudrate: 512 MediaArchive https://lecturemedia.cern.ch/2021/970232c136/970232c136-800-kbps-640x360-25-fps-audio-96-kbps-44-kHz-stereo.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 800 jakub.moscicki@cern.ch 2020-10-27T15:53:42 2021-01-26T11:17:40 PUBLIC INDICO.970232c136 https://videos.cern.ch/legacy/record/2750322 Indico CR MIGRATED 2750006 SzGeCERN 20210122230425.0 DOI IOP 10.1088/1748-0221/15/11/C11003 oai:inspirehep.net:1837345 cerncds:CERN INSPIRE:HEP ForCDS HAL hal-03107937 http://old.inspirehep.net/oai2d 2021-01-22T05:00:46Z marcxml oai:inspirehep.net:1837345 2021-01-21T15:20:35Z Inspire 1837345 eng Rigoletti, G gianluca.rigoletti@cern.ch Lyon U. IOP Characterization of RPC detectors with LHC-like background radiation and new eco-friendly gas mixtures 2020 12 p IOP Resistive Plate Chamber (RPC) detectors are widely used at the CERN LHC experiments as muon trigger thanks to their excellent time resolution. They are operated with a gas mixture containing $C_{2}H_{2}F_{4}$ and $SF_{6}$, both greenhouse gases with a very high global warming potential. The search of new environmentally friendly gas mixtures is advised to reduce GHG emissions and costs as well as to optimize RPC performance. Several recently available gases with low GWP have been identified as possible replacements for $C_{2}H_{2}F_{4}$ and $SF_{6}$ . In particular, HFO-1234ze has been studied as a possible replacement for $C_{2}H_{2}F_{4}$ and several gases like Novec fluoroketones, $C_{4}F_{8}O$ and $CF_{3}I$ were tested as a replacements of both $C_{2}H_{2}F_{4}$ and $SF_{6}$. The RPC detectors have been tested in laboratory conditions and few selected mixtures were tested at the CERN Gamma Irradiation Facility, which provides a high energy muon beam combined with an intense gamma source allowing to simulate the background expected at HL-LHC . The performance of RPCs was studied at different gamma rates in a presence of muon beam by measuring efficiency, streamer probability, rate capability, induced charge and cluster size. The studies are being carried on by operating RPCs under gas recirculation with the selected gas mixture and exposed to the intense gamma radiation of GIF++ for evaluating possible long-term aging effects, gas damage due to radiation and compatibility of LHC gas system with new gases. 0 IOP Publishing Ltd and Sissa Medialab 2020 SzGeCERN Detectors and Experimental Techniques CERN CERN LHC Mandelli, B CERN Guida, R CERN 1824271 C11003 11 C20-02-10.1 2020 JINST 15 13 2692559 roma20200210 C11003 ARTICLE ConferencePaper 2749429 SzGeCERN 20210115214455.0 oai:cds.cern.ch:2749429 cerncds:FULLTEXT CMS-DP-2020-053 eng CERN-CMS-DP-2020-053 CMS Collaboration Environmental Background Hit Rate on GE1/1 in the 2018 Slice Test 2020 Geneva CERN 04 Dec 2020 4 p The CMS Collaboration has decided to add new detectors using GEM technology at Stations 0, 1 and 2 of the endcap region of the CMS muon system for the upcoming HL-LHC runs. These GEM detectors will be operated in a harsh radiation environment. Thus a measurement of the environmental background hit rate is crucial. CMS installed five GEM super-chambers at Station 1 (GE1/1) in Run-2 and gained valuable operational experience (the Slice Test). The first measurement of the background hit rate at GE1/1 at an instantaneous luminosity of up to \(2\times10^{34} cm^{-2}s^{-1}\) is presented. CERN EDS SzGeCERN Detectors and Experimental Techniques CMS Muons INTNOTE CERN PUBLCMS CERN LHC CMS PH CMS Collaboration 2273256 258096 http://cds.cern.ch/record/2749429/files/DP2020_053.pdf n 20213 PUBLIC CMS-DETECTOR-PERFORMANCE-SUMMARIES NOTE 2749379 20210120101038.0 oai:cds.cern.ch:2749379 cerncds:FULLTEXT CERN-PHOTO-202101-013 AUTHOR|(CDS)2094367 AUTHOR|(SzGeCERN)763679 Ordan, Julien Marius julien.ordan@cern.ch Facility for Antiproton and Ion Research (DE) Benoit Delille, HSE Unit Head 2021 Geneva CERN 2021-01-14 General Photo public Benoit Delille, Head of the Health & Safety and Environmental Protection Unit. HSE is the driving force behind CERN's Safety Policy. In its role as the Organization’s centre of competence in matters of Safety, this unit provides support to all parts of the Organization. CERN 2021 CERN EDS PHOTOLAB SzGeCERN Personalities and History of CERN SzGeCERN Photolab CERN PHOTO 2273513 541205344 http://cds.cern.ch/record/2749379/files/202101-013_01.tif 2273513 63458614 http://cds.cern.ch/record/2749379/files/202101-013_01.jpg 2273513 155602 http://cds.cern.ch/record/2749379/files/202101-013_01.jpg?subformat=icon-640 icon-640 2273513 29532 http://cds.cern.ch/record/2749379/files/202101-013_01.jpg?subformat=icon-180 icon-180 2273513 646840 http://cds.cern.ch/record/2749379/files/202101-013_01.jpg?subformat=icon-1440 icon-1440 maximilien.brice@cern.ch n 202102 CERN <> 86 PUBLIC VISIBLE PHOTOLABCERN 2749365 SzGeCERN 20210421184401.0 9783030550202 electronic version electronic version 9783030550196 print version 9783030550219 print version 9783030550226 print version DOI 10.1007/978-3-030-55020-2 ebook oai:cds.cern.ch:2749365 cerncds:BOOK eng QA276-280 23 519.5 Dormann, Carsten Environmental data analysis an introduction with examples in R Cham Springer 2020 ebook Preface -- The technical side: selecting a statistical software -- 1 Sample statistics -- 2 Sample statistics in R -- 3 Distributions, parameters and estimators -- 4 Distributions, parameters and estimators in R -- 5 Correlation and association -- 6 Correlation and association in R -- 7 Regression - Part I -- 8 Regression in R - Part I -- 9 Regression - Part II -- 10 Regression in R - Part II -- 11 The linear model: t-test and ANOVA -- 12 The linear model: t-test and ANOVA in R -- 13 Hypotheses and tests -- 14 Experimental Design -- 15 Multiple Regression -- 16 Multiple Regression in R -- 17 Outlook -- Index. Environmental Data Analysis is an introductory statistics textbook for environmental science. It covers descriptive, inferential and predictive statistics, centred on the Generalized Linear Model. The key idea behind this book is to approach statistical analyses from the perspective of maximum likelihood, essentially treating most analyses as (multiple) regression problems. The reader will be introduced to statistical distributions early on, and will learn to deploy models suitable for the data at hand, which in environmental science are often not normally distributed. To make the initially steep learning curve more manageable, each statistical chapter is followed by a walk-through in a corresponding R-based how-to chapter, which reviews the theory and applies it to environmental data. In this way, a coherent and expandable foundation in parametric statistics is laid, which can be expanded in advanced courses.The content has been “field-tested” in several years of courses on statistics for Environmental Science, Geography and Forestry taught at the University of Freiburg. . Mathematics and statistics SPR202101 SzGeCERN Mathematical Physics and Mathematics SPR Ecology  SPR Forestry SPR Ecology SPR Statistical Theory and Methods BOOK 202101 SPR n 202101 21 PUBLIC https://catalogue.library.cern/legacy/2749365 BOOK MIGRATED 2749363 SzGeCERN 20210421184401.0 9789811587719 electronic version electronic version 9789811587702 print version 9789811587726 print version 9789811587733 print version DOI 10.1007/978-981-15-8771-9 ebook oai:cds.cern.ch:2749363 cerncds:BOOK eng QC176.8.S8 QC611.6.S9 23 530.417 Mousa, Mohanad Multiscaled PVA bionanocomposite films characterisation and nanoscale modelling Singapore Springer 2021 ebook Chapter 1. Introduction -- Chapter 2 Materials, methodology and characterisation techniques -- Chapter 3 PVA/BC bionancomposite films with particle size effect -- Chapter 4 PVA bionanocomposite films with different particle shapes and structures -- Chapter 5 3D interphase of PVA bionanocomposite films -- Chapter 6 Micromechanical modelling of PVA bionanocomposite films. This book highlights a novel and holistic approach to multiscaled PVA bionanocomposite films used for electrical sensing, medical and packaging applications. With a combination of material characterization and modeling to understand the effect of nanoparticle size and shape, as well as 3D interphase properties and features such as interphase modulus and nanoscale dimensions, this book substantiates how excellent mechanical and thermal properties of these materials are achieved. Also it addresses the importance of using economical and ecofriendly bionanocomposites as potential green materials to support the goal of environmental sustainability with multifunctional properties. Physics and astronomy SPR202101 SzGeCERN Engineering SPR Surfaces (Physics) SPR Interfaces (Physical sciences) SPR Nanotechnology SPR Biomaterials SPR Ceramics SPR Glass SPR Composites (Materials) SPR Composite materials SPR Surface and Interface Science, Thin Films SPR Characterization and Evaluation of Materials SPR Nanotechnology and Microengineering SPR Ceramics, Glass, Composites, Natural Materials BOOK Dong, Yu 202101 SPR n 202101 21 PUBLIC https://catalogue.library.cern/legacy/2749363 BOOK MIGRATED 2753115 SzGeCERN 20210421184333.0 9783030564131 electronic version electronic version 9783030564124 print version 9783030564148 print version 9783030564155 print version DOI 10.1007/978-3-030-56413-1 ebook oai:cds.cern.ch:2753115 cerncds:BOOK eng QH505 23 571.4 Metal, metal oxides and metal sulphides for biomedical applications Cham Springer 2021 ebook Environmental chemistry for a sustainable world 58 2213-7114 Preface -- Chapter 1 Metal sulfide nanostructures for bioimaging and biosensing applications -- Chapter 2 Modification of titanium alloys for dental applications -- Chapter 3 Metals and metal complexes for medicinal applications -- Chapter 4 Therapeutic potential of metals in managing metabolic syndrome -- Chapter 5 Antimicrobial effects of metal, metal oxide nanomaterials and sulfonamide complexes -- Chapter 6 Role of metals, metal oxides and sulphides in the diagnosis and treatment of cancer -- Chapter 7 Nanomaterials-based electrochemical sensors and biosensors for early identification and monitoring of diseases -- Chapter 8 Inorganic nanoparticles for bioimaging -- Chapter 9 Metal and metal oxides applications in sustainable synthesis and biology -- Chapter 10 Therapeutic prospective of metal oxides as anti-cancer agents -- Chapter 11 Metal neurotoxicity and neurodegeneration -- Chapter 12 An overview of heavy metal toxicity. This book presents recent advances in inorganic nanomaterials for healthcare, with focus on the synthesis, medical applications and toxicity of metals, metal oxides and metal sulfides. Major applications include diagnosis, bioimaging, biosensing, healing and therapy in cancer, diabetes, cardiovascular diseases, obesity, metabolic syndrome, dentistry and antimicrobials. Physics and astronomy SPR202102 SzGeCERN Health Physics and Radiation Effects SPR Medicine SPR Biomedicine, general BOOK Rajendran, Saravanan ed. Naushad, Mu ed. Durgalakshmi, D ed. Lichtfouse, Eric ed. 202102 SPR n 202107 21 PUBLIC https://catalogue.library.cern/legacy/2753115 BOOK MIGRATED 2752783 SzGeCERN 20210421184335.0 9783030618216 electronic version electronic version print version 9783030618209 print version 9783030618223 DOI 10.1007/978-3-030-61821-6 ebook oai:cds.cern.ch:2752783 cerncds:BOOK eng QA402.5-402.6 519.6 23 Adelgren, Nathan Advancing parametric optimization on multiparametric linear complementarity problems with parameters in general locations Cham Springer 2021 ebook Springerbriefs in optimization 2190-8354 1. Introduction -- 2. Background on mpLCP -- 3. Algebraic Properties of Invariancy Regions -- 4. Phase 2: Partitioning the Parameter Space -- 5. Phase 1: Determining an Initial Feasible Solution -- 6. Further Considerations -- 7. Assessment of Performance -- 8. Conclusion -- Appendix A. Tableaux for Example 2.1 -- Appendix B. Tableaux for Example 2.2 -- References. The theory presented in this work merges many concepts from mathematical optimization and real algebraic geometry. When unknown or uncertain data in an optimization problem is replaced with parameters, one obtains a multi-parametric optimization problem whose optimal solution comes in the form of a function of the parameters.The theory and methodology presented in this work allows one to solve both Linear Programs and convex Quadratic Programs containing parameters in any location within the problem data as well as multi-objective optimization problems with any number of convex quadratic or linear objectives and linear constraints. Applications of these classes of problems are extremely widespread, ranging from business and economics to chemical and environmental engineering. Prior to this work, no solution procedure existed for these general classes of problems except for the recently proposed algorithms. Mathematics and statistics SPR202102 SzGeCERN Mathematical Physics and Mathematics BOOK SPR n 202107 202102 21 PUBLIC https://catalogue.library.cern/legacy/2752783 BOOK MIGRATED 2752735 SzGeCERN 20210421184336.0 9780198827832 print version, hardback 9780191866562 electronic version electronic version DOI 10.1093/oso/9780198827832.001.0001 ebook oai:cds.cern.ch:2752735 cerncds:BOOK eng Evans, John Elements of a sustainable world Oxford Oxford University Press 2021 ebook We have 118 known chemical elements as our palette in our context of sustaining our world. Our context is considered in terms of the four spheres of the ancient world: Earth, Air, Fire and Water. This book shows how chemical principles can be used to understand the pressures on our world spanning from greenhouse emissions through freshwater supplies to energy generation and storage. The supply of the chemical elements is key to their contribution to alleviating these pressures. Most synthetic and radioactive elements are not available in sufficient supply to contribute in this. Some solutions, such as wind turbines, batteries, fuel cells and automotive exhaust remediation pose questions about sustainable supplies of critical elements. With an eye on the target of the IPCC of capping the temperature anomaly to 1.5 oC (RCP2.6), options for carbon capture and storage, and the generation of energy and element supply from the sea are assessed. The consequences of the escape of plastics and pharmaceuticals into the wider environment for water integrity are also considered. This book is designed around providing a one semester course for students who have entered at least the second level of university chemistry. It provides explanations and entries to current environmental issues. For students of environmental science, it provides an understanding of the chemical principles underpinning the causes and possible solutions to these issues. Each chapter has a set appropriate study questions. OSO202102 SzGeCERN Chemical Physics and Chemistry BOOK 202102 OSO h 202108 21 https://catalogue.library.cern/legacy/2752735 BOOK MIGRATED 2752326 SzGeCERN 20210303162012.0 DOI 10.1038/s42005-020-00494-z oai:inspirehep.net:1845918 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS http://old.inspirehep.net/oai2d oai:inspirehep.net:1845918 2021-02-16T08:52:10Z 2021-02-17T05:00:08Z marcxml Inspire 1845918 eng Amsler, Claude Stefan Meyer Inst. Subatomare Phys. submitter Pulsed production of antihydrogen 2021 11 p submitter Antihydrogen atoms with K or sub-K temperature are a powerful tool to precisely probe the validity of fundamental physics laws and the design of highly sensitive experiments needs antihydrogen with controllable and well defined conditions. We present here experimental results on the production of antihydrogen in a pulsed mode in which the time when 90% of the atoms are produced is known with an uncertainty of ~250 ns. The pulsed source is generated by the charge-exchange reaction between Rydberg positronium atoms—produced via the injection of a pulsed positron beam into a nanochanneled Si target, and excited by laser pulses—and antiprotons, trapped, cooled and manipulated in electromagnetic traps. The pulsed production enables the control of the antihydrogen temperature, the tunability of the Rydberg states, their de-excitation by pulsed lasers and the manipulation through electric field gradients. The production of pulsed antihydrogen is a major landmark in the AEḡIS experiment to perform direct measurements of the validity of the Weak Equivalence Principle for antimatter. CC-BY-4.0 http://creativecommons.org/licenses/by/4.0/ The Author(s) 2021 SzGeCERN Particle Physics - Experiment CERN ARTICLE CERN AD AEGIS AD-6 Antonello, Massimiliano Insubria U., Como INFN, Milan INFN Milano, via Celoria 16, 20133 Milano, Italy. Belov, Alexander Moscow, INR Bonomi, Germano U. Brescia INFN, Pavia INFN Pavia, via Bassi 6, 27100 Pavia, Italy. Brusa, Roberto Sennen Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy. Caccia, Massimo Insubria U., Como INFN, Milan INFN Milano, via Celoria 16, 20133 Milano, Italy. Camper, Antoine CERN Caravita, Ruggero TIFPA-INFN, Trento CERN Physics Department, CERN, 1211 Geneva, Switzerland. Castelli, Fabrizio INFN, Milan Milan U. Department of Physics ‘Aldo Pontremoli’, Univ. of Milano, via Celoria 16, 20133 Milano, Italy. Cheinet, Patrick LAC, Orsay Comparat, Daniel LAC, Orsay Consolati, Giovanni INFN, Milan Milan, Polytech. Department of Aerospace Science and Technology, Politecnico di Milano, via La Masa 34, 20156 Milano, Italy. Demetrio, Andrea Kirchhoff Inst. Phys. Di Noto, Lea Genoa U. INFN, Genoa INFN Genova, via Dodecaneso 33, 16146 Genova, Italy. Doser, Michael CERN Fanì, Mattia CERN Genoa U. INFN, Genoa Department of Physics, Univ. of Genova, via Dodecaneso 33, 16146 Genova, Italy. Ferragut, Rafael INFN, Milan Milan Polytechnic LNESS, Department of Physics, Politecnico di Milano, via Anzani 42, 22100 Como, Italy. Fesel, Julian CERN Gerber, Sebastian CERN Giammarchi, Marco INFN, Milan Gligorova, Angela Stefan Meyer Inst. Subatomare Phys. Glöggler, Lisa Theresa CERN Guatieri, Francesco Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy. Haider, Stefan CERN Hinterberger, Alexander CERN Kellerbauer, Alban Heidelberg, Max Planck Inst. Khalidova, Olga CERN Krasnický, Daniel INFN, Genoa Lagomarsino, Vittorio INFN, Genoa Malbrunot, Chloé CERN Mariazzi, Sebastiano Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy. Matveev, Viktor Moscow, INR Müller, Simon Kirchhoff Inst. Phys. Nebbia, Giancarlo INFN, Padua Nedelec, Patrick Lyon U. Nowak, Lilian CERN Oberthaler, Markus Kirchhoff Inst. Phys. Oswald, Emmanuel CERN Pagano, Davide Brescia U. INFN, Pavia INFN Pavia, via Bassi 6, 27100 Pavia, Italy. Penasa, Luca Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy. Petracek, Vojtech CTU, Prague Povolo, Luca Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy. Prelz, Francesco INFN, Milan Prevedelli, Marco U. Bologna (main) Rienäcker, Benjamin CERN Røhne, Ole Oslo U. Rotondi, Alberto INFN, Pavia Pavia U. Department of Physics, Univ. of Pavia, via Bassi 6, 27100 Pavia, Italy. Sandaker, Heidi Oslo U. Santoro, Romualdo Insubria U., Como INFN, Milan INFN Milano, via Celoria 16, 20133 Milano, Italy. Testera, Gemma INFN, Genoa Tietje, Ingmari CERN Toso, Valerio INFN, Milan Milan Polytechnic LNESS, Department of Physics, Politecnico di Milano, via Anzani 42, 22100 Como, Italy. Wolz, Tim CERN Yzombard, Pauline Heidelberg, Max Planck Inst. UPMC, Paris (main) Present address: Kastler Brossel Lab., Sorbonne Univ., CNRS, ENS Univ. PSL, Collége de France, 4 Place Jussieu, case 74, 75252 Paris, France Zimmer, Christian CERN Oslo U. Heidelberg U. Department of Physics, Univ. of Oslo, Sem Sælandsvei 24, 0371 Oslo, Norway. Zurlo, Nicola INFN, Pavia Brescia U. Department of Civil, Environmental, Architectural Engineering and Mathematics, Univ. of Brescia, via Branze 43, 25123 Brescia, Italy. 19 1 Commun. Phys. 4 2021 2278114 1608460 http://cds.cern.ch/record/2752326/files/s42005-020-00494-z (1).pdf Fulltext 13 ARTICLE 2752324 SzGeCERN 20210219151215.0 DOI American Association for the Advancement of Science 10.1126/science.abe0298 oai:inspirehep.net:1845695 cerncds:CERN ForCDS http://old.inspirehep.net/oai2d oai:inspirehep.net:1845695 2021-02-16T15:12:41Z 2021-02-17T05:00:08Z marcxml eng He, Xu-Cheng ORCID:0000-0002-7416-306X xucheng.he@helsinki.fi Helsinki U. American Association for the Advancement of Science Role of iodine oxoacids in atmospheric aerosol nucleation CERN Tham, Yee Jun ORCID:0000-0001-7924-5841 Helsinki U. Dada, Lubna ORCID:0000-0003-1105-9043 Helsinki U. Wang, Mingyi ORCID:0000-0001-5782-2513 Carnegie Mellon U. Finkenzeller, Henning ORCID:0000-0002-8349-3714 U. Colorado, Boulder Stolzenburg, Dominik ORCID:0000-0003-1014-1360 Vienna U. Helsinki U. Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland. Iyer, Siddharth ORCID:0000-0001-5989-609X Tampere U. of Tech. Simon, Mario ORCID:0000-0002-4900-7460 Frankfurt U., FIAS Kürten, Andreas ORCID:0000-0002-8955-4450 Frankfurt U., FIAS Shen, Jiali Helsinki U. Rörup, Birte ORCID:0000-0001-8755-9453 Helsinki U. Rissanen, Matti ORCID:0000-0003-0463-8098 Tampere U. of Tech. Schobesberger, Siegfried ORCID:0000-0002-5777-4897 UEF, Kuopio Baalbaki, Rima ORCID:0000-0002-4480-2107 Helsinki U. Wang, Dongyu S ORCID:0000-0001-7549-1578 PSI, Villigen Koenig, Theodore K ORCID:0000-0002-3756-4315 U. Colorado, Boulder Jokinen, Tuija ORCID:0000-0002-1280-1396 Helsinki U. Sarnela, Nina ORCID:0000-0003-1874-3235 Helsinki U. Beck, Lisa J ORCID:0000-0003-3700-5895 Helsinki U. Almeida, João ORCID:0000-0002-8502-2721 CERN Amanatidis, Stavros ORCID:0000-0002-4924-8424 Caltech, Pasadena (main) Amorim, António ORCID:0000-0003-0638-2321 Lisbon U. Lisbon, CENTRA Ataei, Farnoush TROPOS, Leibniz Baccarini, Andrea ORCID:0000-0003-4614-247X PSI, Villigen Bertozzi, Barbara ORCID:0000-0003-2571-6585 KIT, Karlsruhe Bianchi, Federico ORCID:0000-0003-2996-3604 Helsinki U. Brilke, Sophia Vienna U. Caudillo, Lucía Frankfurt U., FIAS Chen, Dexian ORCID:0000-0001-6963-5205 Carnegie Mellon U. Chiu, Randall ORCID:0000-0002-9892-2761 U. Colorado, Boulder Chu, Biwu ORCID:0000-0002-7548-5669 Helsinki U. Dias, António ORCID:0000-0002-0842-4639 Lisbon, CENTRA Lisbon U. Ding, Aijun ORCID:0000-0003-4481-5386 Nanjing U. Unlisted, CN Jiangsu Provincial Collaborative Innovation Center of Climate Change, Nanjing 210023, China. Dommen, Josef ORCID:0000-0002-0006-0009 PSI, Villigen Duplissy, Jonathan ORCID:0000-0001-8819-0264 Helsinki U. Helsinki Institute of Physics, University of Helsinki, 00014 Helsinki, Finland. Haddad, Imad El ORCID:0000-0002-2461-7238 PSI, Villigen Carracedo, Loïc Gonzalez Vienna U. Granzin, Manuel Frankfurt U., FIAS Hansel, Armin ORCID:0000-0002-1062-2394 Innsbruck U. Unlisted, AU Ionicon Analytik Ges.m.b.H., 6020 Innsbruck, Austria. Heinritzi, Martin ORCID:0000-0002-9171-8127 Frankfurt U., FIAS Hofbauer, Victoria ORCID:0000-0001-9036-4446 Carnegie Mellon U. Junninen, Heikki ORCID:0000-0001-7178-9430 Helsinki U. Tartu, Inst. Phys. Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland. Kangasluoma, Juha ORCID:0000-0002-1639-1187 Helsinki U. Kemppainen, Deniz ORCID:0000-0001-8282-0501 Helsinki U. Kim, Changhyuk ORCID:0000-0002-8744-4880 Caltech, Pasadena (main) School of Civil and Environmental Engineering, Pusan National University, Busan 46241, Republic of Korea. Kong, Weimeng ORCID:0000-0002-9432-2857 Caltech, Pasadena (main) Krechmer, Jordan E ORCID:0000-0003-3642-0659 Aerodyne Research, Billerica Kvashin, Aleksander ORCID:0000-0001-7218-6738 Lebedev Inst. Laitinen, Totti Helsinki U. Lamkaddam, Houssni ORCID:0000-0001-5166-6353 PSI, Villigen Lee, Chuan Ping ORCID:0000-0003-0051-8179 PSI, Villigen Lehtipalo, Katrianne ORCID:0000-0002-1660-2706 Helsinki U. Unlisted, FI Finnish Meteorological Institute, 00560 Helsinki, Finland. Leiminger, Markus ORCID:0000-0003-3343-5425 Innsbruck U. Ionicon Analytik Ges.m.b.H., 6020 Innsbruck, Austria. Li, Zijun ORCID:0000-0002-2973-1216 UEF, Kuopio Makhmutov, Vladimir ORCID:0000-0002-2242-1055 Lebedev Inst. Manninen, Hanna E ORCID:0000-0002-0419-4020 CERN Marie, Guillaume ORCID:0000-0003-1454-0908 Frankfurt U., FIAS Marten, Ruby ORCID:0000-0003-0417-4350 PSI, Villigen Mathot, Serge CERN Mauldin, Roy L ORCID:0000-0002-8569-8561 U. Colorado, Boulder Mentler, Bernhard ORCID:0000-0003-3852-0397 Innsbruck U. Möhler, Ottmar KIT, Karlsruhe Müller, Tatjana ORCID:0000-0001-6453-9134 Frankfurt U., FIAS Nie, Wei ORCID:0000-0002-6048-0515 Nanjing U. Unlisted, CN Jiangsu Provincial Collaborative Innovation Center of Climate Change, Nanjing 210023, China. Onnela, Antti ORCID:0000-0001-9946-9762 CERN Petäjä, Tuukka ORCID:0000-0002-1881-9044 Helsinki U. Pfeifer, Joschka CERN Philippov, Maxim ORCID:0000-0003-4302-0020 Lebedev Inst. Ranjithkumar, Ananth ORCID:0000-0002-6780-456X Leeds U. Saiz-Lopez, Alfonso ORCID:0000-0002-0060-1581 CSIC, Madrid Salma, Imre ORCID:0000-0001-8319-1647 Eotvos U. Scholz, Wiebke ORCID:0000-0003-2617-620X Innsbruck U. Unlisted, AT Ionicon Analytik Ges.m.b.H., 6020 Innsbruck, Austria. Schuchmann, Simone Mainz U., Inst. Phys. Schulze, Benjamin ORCID:0000-0002-6405-8872 Caltech, Pasadena (main) Steiner, Gerhard Innsbruck U. Stozhkov, Yuri Lebedev Inst. Tauber, Christian ORCID:0000-0003-1453-1067 Vienna U. Tomé, António ORCID:0000-0001-9144-7120 Beira Interior U., Covilha Thakur, Roseline C ORCID:0000-0002-3238-4171 Helsinki U. Väisänen, Olli UEF, Kuopio Vazquez-Pufleau, Miguel ORCID:0000-0001-6836-5098 Vienna U. Wagner, Andrea C ORCID:0000-0003-3159-9434 U. Colorado, Boulder Frankfurt U., FIAS Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany. Wang, Yonghong Helsinki U. Weber, Stefan K ORCID:0000-0001-7408-9069 CERN Winkler, Paul M Vienna U. Wu, Yusheng Helsinki U. Xiao, Mao ORCID:0000-0002-2790-4443 PSI, Villigen Yan, Chao ORCID:0000-0002-5735-9597 Helsinki U. Ye, Qing ORCID:0000-0003-3797-8988 Carnegie Mellon U. Ylisirniö, Arttu ORCID:0000-0001-9793-9994 UEF, Kuopio Zauner-Wieczorek, Marcel ORCID:0000-0002-0867-665X Frankfurt U., FIAS Zha, Qiaozhi ORCID:0000-0001-6301-7086 Helsinki U. Zhou, Putian ORCID:0000-0003-0803-7337 Helsinki U. Flagan, Richard C ORCID:0000-0001-5690-770X Curtius, Joachim ORCID:0000-0003-3153-4630 Baltensperger, Urs ORCID:0000-0003-0079-8713 PSI, Villigen Kulmala, Markku ORCID:0000-0003-3464-7825 Helsinki U. Nanjing U. Beijing U. of Chem. Tech. Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China. Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China. Kerminen, Veli-Matti ORCID:0000-0002-0706-669X Helsinki U. Kurtén, Theo Helsinki U. Donahue, Neil M ORCID:0000-0003-3054-2364 Carnegie Mellon U. Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA 15213, USA. Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA 15213, USA. Volkamer, Rainer ORCID:0000-0002-0899-1369 U. Colorado, Boulder Kirkby, Jasper ORCID:0000-0003-2341-9069 CERN Frankfurt U., FIAS Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany. Worsnop, Douglas R ORCID:0000-0002-8928-8017 Helsinki U. Aerodyne Research, Billerica Aerodyne Research, Inc., Billerica, MA 01821, USA. Sipilä, Mikko ORCID:0000-0002-8594-7003 Helsinki U. 589-595 6529 Science 371 2021 13 ARTICLE 7 p American Association for the Advancement of Science Iodic acid (HIO3) is known to form aerosol particles in coastal marine regions, but predicted nucleation and growth rates are lacking. Using the CERN CLOUD (Cosmics Leaving Outdoor Droplets) chamber, we find that the nucleation rates of HIO3 particles are rapid, even exceeding sulfuric acid–ammonia rates under similar conditions. We also find that ion-induced nucleation involves IO3− and the sequential addition of HIO3 and that it proceeds at the kinetic limit below +10°C. In contrast, neutral nucleation involves the repeated sequential addition of iodous acid (HIO2) followed by HIO3, showing that HIO2 plays a key stabilizing role. Freshly formed particles are composed almost entirely of HIO3, which drives rapid particle growth at the kinetic limit. Our measurements indicate that iodine oxoacid particle formation can compete with sulfuric acid in pristine regions of the atmosphere. AAAS 2021 2021 2751374 SzGeCERN 20210421184350.0 9783527413416 electronic version electronic version 9783527413393 print version oai:cds.cern.ch:2751374 cerncds:BOOK EBL 4821050 eng TA1634.H363 2017 006.37 Hornberg, Alexander Handbook of machine and computer vision the guide for developers and users 2nd ed. Somerset John Wiley & Sons 2017 863 p ebook Cover -- Title Page -- Copyright -- Contents -- Preface Second Edition -- Preface First Edition -- List of Contributors -- Chapter 1 Processing of Information in the Human Visual System -- 1.1 Preface -- 1.2 Design and Structure of the Eye -- 1.3 Optical Aberrations and Consequences for Visual Performance -- 1.4 Chromatic Aberration -- 1.5 Neural Adaptation to Monochromatic Aberrations -- 1.6 Optimizing Retinal Processing with Limited Cell Numbers, Space, and Energy -- 1.7 Adaptation to Different Light Levels -- 1.8 Rod and Cone Responses -- 1.9 Spiking and Coding -- 1.10 Temporal and Spatial Performance -- 1.11 ON/OFF Structure, Division of the Whole Illuminance Amplitude -- 1.12 Consequences of the Rod and Cone Diversity on Retinal Wiring -- 1.13 Motion Sensitivity in the Retina -- 1.14 Visual Information Processing in Higher Centers -- 1.14.1 Morphology -- 1.14.2 Functional Aspects - Receptive Field Structures and Cortical Modules -- 1.15 Effects of Attention -- 1.16 Color Vision, Color Constancy, and Color Contrast -- 1.17 Depth Perception -- 1.18 Adaptation in the Visual System to Color, Spatial, and Temporal Contrast -- 1.19 Conclusions -- Acknowledgements -- References -- Chapter 2 Introduction to Building a Machine Vision Inspection -- 2.1 Preface -- 2.2 Specifying a Machine Vision System -- 2.2.1 Task and Benefit -- 2.2.2 Parts -- 2.2.3 Part Presentation -- 2.2.4 Performance Requirements -- 2.2.5 Information Interfaces -- 2.2.6 Installation Space -- 2.2.7 Environment -- 2.2.8 Checklist -- 2.3 Designing a Machine Vision System -- 2.3.1 Camera Type -- 2.3.2 Field of View -- 2.3.3 Resolution -- 2.3.4 Choice of Camera, Frame Grabber, and Hardware Platform -- 2.3.5 Lens Design -- 2.3.6 Choice of Illumination -- 2.3.7 Mechanical Design -- 2.3.8 Electrical Design -- 2.3.9 Software -- 2.4 Costs -- 2.5 Words on Project Realization. 2.5.1 Development and Installation -- 2.5.2 Test Run and Acceptance Test -- 2.5.3 Training and Documentation -- 2.6 Examples -- 2.6.1 Diameter Inspection of Rivets -- 2.6.2 Tubing Inspection -- Chapter 3 Lighting in Machine Vision -- 3.1 Introduction -- 3.1.1 Prologue -- 3.1.2 The Involvement of Lighting in the Complex Machine Vision Solution -- 3.2 Demands on Machine Vision lighting -- 3.3 Light used in Machine Vision -- 3.3.1 What is Light? Axioms of Light -- 3.3.2 Light and Light Perception -- 3.3.3 Light Sources for Machine Vision -- 3.3.4 The Light Sources in Comparison -- 3.3.5 Considerations for Light Sources: Lifetime, Aging, Drift -- 3.4 Interaction of Test Object and Light -- 3.4.1 Risk Factor Test Object -- 3.4.2 Light Color and Part Color -- 3.5 Basic Rules and Laws of Light Distribution -- 3.5.1 Basic Physical Quantities of Light -- 3.5.2 The Photometric Inverse Square Law -- 3.5.3 The Constancy of Luminance -- 3.5.4 What Light Arrives at the Sensor - Light Transmission Through the Lens -- 3.5.5 Light Distribution of Lighting Components -- 3.5.6 Contrast -- 3.5.7 Exposure -- 3.6 Light Filters -- 3.6.1 Characteristic Values of Light Filters -- 3.6.2 Influences of Light Filters on the Optical Path -- 3.6.3 Types of Light Filters -- 3.6.4 Anti-Reflective Coatings (AR) -- 3.6.5 Light Filters for Machine Vision -- 3.7 Lighting Techniques and Their Use -- 3.7.1 How to Find a Suitable Lighting? -- 3.7.2 Planning the Lighting Solution - Influence Factors -- 3.7.3 Lighting Systematics -- 3.7.4 The Lighting Techniques in Detail -- 3.7.5 Combined Lighting Techniques -- 3.8 Lighting Control -- 3.8.1 Reasons for Light Control - The Environmental Industrial Conditions -- 3.8.2 Electrical Control -- 3.8.3 Geometrical Control -- 3.8.4 Suppression of Ambient and Extraneous Light - Measures for a Stable Lighting -- 3.9 Lighting Perspectives for the Future. References -- Chapter 4 Optical Systems in Machine Vision -- 4.1 A Look at the Foundations of Geometrical Optics -- 4.1.1 From Electrodynamics to Light Rays -- 4.1.2 Basic Laws of Geometrical Optics -- 4.2 Gaussian Optics -- 4.2.1 Reflection and Refraction at the Boundary between two Media -- 4.2.2 Linearizing the Law of Refraction - The Paraxial Approximation -- 4.2.3 Basic Optical Conventions -- 4.2.4 Cardinal Elements of a Lens in Gaussian Optics -- 4.2.5 Thin Lens Approximation -- 4.2.6 Beam-Converging and Beam-Diverging Lenses -- 4.2.7 Graphical Image Constructions -- 4.2.8 Imaging Equations and Their Related Coordinate Systems -- 4.2.9 Overlapping of Object and Image Space -- 4.2.10 Focal Length, Lateral Magnification, and the Field of View -- 4.2.11 Systems of Lenses -- 4.2.12 Consequences of the Finite Extension of Ray Pencils -- 4.2.13 Geometrical Depth of Field and Depth of Focus -- 4.2.14 Laws of Central Projection-Telecentric System -- 4.3 Wave Nature of Light -- 4.3.1 Introduction -- 4.3.2 Rayleigh-Sommerfeld Diffraction Integral -- 4.3.3 Further Approximations to the Huygens-Fresnel Principle -- 4.3.4 Impulse Response of an Aberration-Free Optical System -- 4.3.5 Intensity Distribution in the Neighborhood of the Geometrical Focus -- 4.3.6 Extension of the Point Spread Function in a Defocused Image Plane -- 4.3.7 Consequences for the Depth of Field Considerations -- 4.4 Information Theoretical Treatment of Image Transfer and Storage -- 4.4.1 Physical Systems as Linear Invariant Filters -- 4.4.2 Optical Transfer Function (OTF) and the Meaning of Spatial Frequency -- 4.4.3 Extension to the Two-Dimensional Case -- 4.4.4 Impulse Response and MTF for Semiconductor Imaging Devices -- 4.4.5 Transmission Chain -- 4.4.6 Aliasing Effect and the Space-Variant Nature of Aliasing -- 4.5 Criteria for Image Quality -- 4.5.1 Gaussian Data. 4.5.2 Overview on Aberrations of the Third Order -- 4.5.3 Image Quality in the Space Domain: PSF, LSF, ESF, and Distortion -- 4.5.4 Image Quality in the Spatial Frequency Domain: MTF -- 4.5.5 Other Image Quality Parameters -- 4.5.6 Manufacturing Tolerances and Image Quality -- 4.6 Practical Aspects: How to Specify Optics According to the Application Requirements? -- 4.6.1 Example for the Calculation of an Imaging Constellation -- References -- Chapter 5 Camera Calibration -- 5.1 Introduction -- 5.2 Terminology -- 5.2.1 Camera, Camera System -- 5.2.2 Coordinate Systems -- 5.2.3 Interior Orientation and Calibration -- 5.2.4 Exterior and Relative Orientation -- 5.2.5 System Calibration -- 5.3 Physical Effects -- 5.3.1 Optical System -- 5.3.2 Camera and Sensor Stability -- 5.3.3 Signal Processing and Transfer -- 5.4 Mathematical Calibration Model -- 5.4.1 Central Projection -- 5.4.2 Camera Model -- 5.4.3 Focal Length and Principal Point -- 5.4.4 Distortion and Affinity -- 5.4.5 Radial Symmetrical Distortion -- 5.4.6 Radial Asymmetrical and Tangential Distortion -- 5.4.7 Affinity and Nonorthogonality -- 5.4.8 Variant Camera Parameters -- 5.4.9 Sensor Flatness -- 5.4.10 Other Parameters -- 5.5 Calibration and Orientation Techniques -- 5.5.1 In the Laboratory -- 5.5.2 Using Bundle Adjustment to Determine Camera Parameters -- 5.5.3 Other Techniques -- 5.6 Verification of Calibration Results -- 5.7 Applications -- 5.7.1 Applications with Simultaneous Calibration -- 5.7.2 Applications with Precalibrated Cameras -- References -- Chapter 6 Camera Systems in Machine Vision -- 6.1 Camera Technology -- 6.1.1 History in Brief -- 6.1.2 Machine Vision versus Closed Circuit TeleVision (CCTV) -- 6.2 Sensor Technologies -- 6.2.1 Spatial Differentiation: 1D and 2D -- 6.2.2 CCD Technology -- 6.2.3 CMOS Image Sensor -- 6.2.4 MATRIX VISION Available Cameras. 6.3 Block Diagrams and Their Description -- 6.3.1 Block Diagram of SONY Progressive Scan Analog Camera -- 6.3.2 Block Diagram of Color Camera with Digital Image Processing -- 6.4 mvBlueCOUGAR-X Line of Cameras -- 6.4.1 Black and White Digital Camera mvBlueCOUGAR-X Camera Series -- 6.4.2 Color Camera mvBlueCOUGAR-X Family -- 6.4.3 Controlling Image Capture -- 6.4.4 Acquisition and Trigger Modes -- 6.4.5 Data Transmission -- 6.4.6 Pixel Data -- 6.4.7 Camera Connection -- 6.4.8 Operating the Camera -- 6.4.9 HiRose Jack Pin Assignment -- 6.4.10 Sensor Frame Rates and Bandwidth -- 6.5 Configuration of a GigE Vision Camera -- 6.6 Qualifying Cameras and Noise Measurement (Dr. Gert Ferrano MV) -- 6.6.1 Explanation of the Most Important Measurements -- 6.7 Camera Noise (by Henning Haider AVT, Updated by Author) -- 6.7.1 Photon Noise -- 6.7.2 Dark Current Noise -- 6.7.3 Fixed Pattern Noise (FPN) -- 6.7.4 Photo Response Non Uniformity (PRNU) -- 6.7.5 Reset Noise -- 6.7.6 1/f Noise (Amplifier Noise) -- 6.7.7 Quantization Noise -- 6.7.8 Noise Floor -- 6.7.9 Dynamic Range -- 6.7.10 Signal to Noise Ratio -- 6.7.11 Example 1: SONY IMX-174 Sensor (mvBlueFOX3-2024) -- 6.7.12 Example 2: CMOSIS CMV2000 (mvBlueCOUGAR-X104) -- 6.8 Useful Links and Literature -- 6.9 Digital Interfaces -- Chapter 7 Smart Camera and Vision Systems Design -- 7.1 Introduction to Vision System Design -- 7.2 Definitions -- 7.3 Smart Cameras -- 7.3.1 Applications -- 7.3.2 Component Parts -- 7.3.3 Programming and Configuring -- 7.3.4 Environment -- 7.4 Vision Sensors -- 7.4.1 Applications -- 7.4.2 Component Parts -- 7.4.3 Programming and Configuring -- 7.4.4 Environment -- 7.5 Embedded Vision Systems -- 7.5.1 Applications -- 7.5.2 Component Parts -- 7.5.3 Programming and Configuring -- 7.5.4 Environment -- 7.6 Conclusion -- References -- Further Reading -- Chapter 8 Camera Computer Interfaces. 8.1 Overview. EBL202102 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_4821050 ebook n 202105 202102 21 PUBLIC https://catalogue.library.cern/legacy/2751374 BOOK MIGRATED 2751036 20260417051146.0 oai:cds.cern.ch:2751036 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI 10.1140/epjc/s10052-021-09121-9 arXiv oai:arXiv.org:2101.08686 oai:inspirehep.net:1842194 https://inspirehep.net/api/oai2d Inspire 2026-04-16T20:51:12Z 2026-04-17T02:00:10Z marcxml true Inspire 1842194 arXiv arXiv:2101.08686 physics.ins-det eng Agnes, P. GRID:grid.266436.3 ROR:https://ror.org/048sx0r50 Houston U. Department of Physics,University of Houston,Houston,TX 77204,USA arXiv Separating $^{39}$Ar from $^{40}$Ar by cryogenic distillation with Aria for dark matter searches 2021-04-26 2021-01-21 18 p Springer Aria is a plant hosting a ${350}\,\hbox {m}$ cryogenic isotopic distillation column, the tallest ever built, which is being installed in a mine shaft at Carbosulcis S.p.A., Nuraxi-Figus (SU), Italy. Aria is one of the pillars of the argon dark-matter search experimental program, lead by the Global Argon Dark Matter Collaboration. It was designed to reduce the isotopic abundance of ${^{39}\hbox {Ar}}$ in argon extracted from underground sources, called Underground Argon (UAr), which is used for dark-matter searches. Indeed, ${^{39}\hbox {Ar}}$ is a $\beta $-emitter of cosmogenic origin, whose activity poses background and pile-up concerns in the detectors. In this paper, we discuss the requirements, design, construction, tests, and projected performance of the plant for the isotopic cryogenic distillation of argon. We also present the successful results of the isotopic cryogenic distillation of nitrogen with a prototype plant. arXiv The Aria project consists of a plant, hosting a 350 m cryogenic isotopic distillation column, the tallest ever built, which is currently in the installation phase in a mine shaft at Carbosulcis S.p.A., Nuraxi-Figus (SU), Italy. Aria is one of the pillars of the argon dark-matter search experimental program, lead by the Global Argon Dark Matter Collaboration. Aria was designed to reduce the isotopic abundance of $^{39}$Ar, a $\beta$-emitter of cosmogenic origin, whose activity poses background and pile-up concerns in the detectors, in the argon used for the dark-matter searches, the so-called Underground Argon (UAr). In this paper, we discuss the requirements, design, construction, tests, and projected performance of the plant for the isotopic cryogenic distillation of argon. We also present the successful results of isotopic cryogenic distillation of nitrogen with a prototype plant, operating the column at total reflux. preprint CC BY-NC-ND 4.0 http://creativecommons.org/licenses/by-nc-nd/4.0/ publication CC BY-4.0 http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2021 arXiv astro-ph.IM SzGeCERN Astrophysics and Astronomy arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques CERN ARTICLE DARKSIDE Albergo, S. INFN, Catania U. Catania (main) INFN Catania,Catania 95121,Italy Università of Catania,Catania 95124,Italy Albuquerque, I.F.M. Sao Paulo U. Instituto de Física,Universidade de São Paulo,São Paulo 05508-090,Brazil Alexander, T. PNL, Richland Pacific Northwest National Laboratory,Richland,WA 99352,USA Alici, A. U. Bologna, DIFA INFN, Bologna Physics Department,Università degli Studi di Bologna,Bologna 40126,Italy INFN Bologna,Bologna 40126,Italy Alton, A.K. Augustana Coll., Sioux Falls Physics Department,Augustana University,Sioux Falls,SD 57197,USA Amaudruz, P. TRIUMF TRIUMF,4004 Wesbrook Mall,Vancouver,BC V6T 2A3,Canada Arba, M. INFN, Cagliari INFN Cagliari,Cagliari 09042,Italy Arpaia, P. Naples U. Physics Department,Università degli Studi "Federico II" di Napoli,Napoli 80126,Italy Arcelli, S. U. Bologna, DIFA INFN, Bologna Physics Department,Università degli Studi di Bologna,Bologna 40126,Italy INFN Bologna,Bologna 40126,Italy Ave, M. Sao Paulo U. Instituto de Física,Universidade de São Paulo,São Paulo 05508-090,Brazil Avetissov, I.Ch. Lomonosov Inst. Fine Chem. Tech. Mendeleev University of Chemical Technology,Moscow 125047,Russia Avetisov, R.I. Lomonosov Inst. Fine Chem. Tech. Mendeleev University of Chemical Technology,Moscow 125047,Russia Azzolini, O. INFN, Legnaro INFN Laboratori Nazionali di Legnaro,Legnaro (Padova) 35020,Italy Back, H.O. PNL, Richland Pacific Northwest National Laboratory,Richland,WA 99352,USA Balmforth, Z. Royal Holloway, U. of London Department of Physics,Royal Holloway University of London,Egham TW20 0EX,UK Barbarian, V. SINP, Moscow Skobeltsyn Institute of Nuclear Physics,Lomonosov Moscow State University,Moscow 119234,Russia Olmedo, A. Barrado Madrid, CIEMAT CIEMAT,Centro de Investigaciones Energéticas,Medioambientales y Tecnológicas,Madrid 28040,Spain Barrillon, P. Marseille, CPPM Centre de Physique des Particules de Marseille,Aix Marseille Univ,CNRS/IN2P3,CPPM,Marseille,France Basco, A. INFN, Naples INFN Napoli,Napoli 80126,Italy Batignani, G. INFN, Pisa Pisa U. INFN Pisa,Pisa 56127,Italy Physics Department,Università degli Studi di Pisa,Pisa 56127,Italy Bondar, A. Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics,Novosibirsk 630090,Russia Novosibirsk State University,Novosibirsk 630090,Russia Bonivento, W.M. INFN, Cagliari INFN Cagliari,Cagliari 09042,Italy Borisova, E. Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics,Novosibirsk 630090,Russia Novosibirsk State University,Novosibirsk 630090,Russia Bottino, B. Genoa U. INFN, Genoa Physics Department,Università degli Studi di Genova,Genova 16146,Italy INFN Genova,Genova 16146,Italy Boulay, M.G. Carleton U. Department of Physics,Carleton University,Ottawa,ON K1S 5B6,Canada Buccino, G. CERN CERN,European Organization for Nuclear Research 1211 Geneve 23,Switzerland,CERN Bussino, S. INFN, Rome3 Rome III U. INFN Roma Tre,Roma 00146,Italy Mathematics and Physics Department,Università degli Studi Roma Tre,Roma 00146,Italy Busto, J. Marseille, CPPM Centre de Physique des Particules de Marseille,Aix Marseille Univ,CNRS/IN2P3,CPPM,Marseille,France Buzulutskov, A. Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics,Novosibirsk 630090,Russia Novosibirsk State University,Novosibirsk 630090,Russia Cadeddu, M. Cagliari U. INFN, Cagliari Physics Department,Università degli Studi di Cagliari,Cagliari 09042,Italy INFN Cagliari,Cagliari 09042,Italy Cadoni, M. Cagliari U. INFN, Cagliari Physics Department,Università degli Studi di Cagliari,Cagliari 09042,Italy INFN Cagliari,Cagliari 09042,Italy Caminata, A. INFN, Genoa INFN Genova,Genova 16146,Italy Canesi, E.V. CNISM Polaris S.r.l.,Misinto 20826,Italy Canci, N. Gran Sasso INFN Laboratori Nazionali del Gran Sasso,Assergi (AQ) 67100,Italy Cappello, G. INFN, Catania U. Catania (main) INFN Catania,Catania 95121,Italy Università of Catania,Catania 95124,Italy Caravati, M. INFN, Cagliari INFN Cagliari,Cagliari 09042,Italy Cárdenas-Montes, M. Madrid, CIEMAT CIEMAT,Centro de Investigaciones Energéticas,Medioambientales y Tecnológicas,Madrid 28040,Spain Cargioli, N. Cagliari U. INFN, Cagliari Physics Department,Università degli Studi di Cagliari,Cagliari 09042,Italy INFN Cagliari,Cagliari 09042,Italy Carlini, M. GSSI, Aquila Gran Sasso Science Institute,L'Aquila 67100,Italy Carnesecchi, F. INFN, Bologna U. Bologna, DIFA INFN Bologna,Bologna 40126,Italy Physics Department,Università degli Studi di Bologna,Bologna 40126,Italy Castello, P. Cagliari U. INFN, Cagliari Department of Electrical and Electronic Engineering,Università degli Studi di Cagliari,Cagliari 09123,Italy INFN Cagliari,Cagliari 09042,Italy Castellani, A. Milan Polytechnic Civil and Environmental Engineering Department,Politecnico di Milano,Milano 20133,Italy Catalanotti, S. Naples U. INFN, Naples Physics Department,Università degli Studi "Federico II" di Napoli,Napoli 80126,Italy INFN Napoli,Napoli 80126,Italy Cataudella, V. Naples U. INFN, Naples Physics Department,Università degli Studi "Federico II" di Napoli,Napoli 80126,Italy INFN Napoli,Napoli 80126,Italy Cavalcante, P. Gran Sasso INFN Laboratori Nazionali del Gran Sasso,Assergi (AQ) 67100,Italy Cavuoti, S. Naples U. INFN, Naples Capodimonte Observ. Physics Department,Università degli Studi "Federico II" di Napoli,Napoli 80126,Italy INFN Napoli,Napoli 80126,Italy INAF Osservatorio Astronomico di Capodimonte,80131 Napoli,Italy Cebrian, S. Zaragoza U. Centro de Astropartículas y Física de Altas Energías,Universidad de Zaragoza,Zaragoza 50009,Spain Cela Ruiz, J.M. Madrid, CIEMAT CIEMAT,Centro de Investigaciones Energéticas,Medioambientales y Tecnológicas,Madrid 28040,Spain Celano, B. INFN, Naples INFN Napoli,Napoli 80126,Italy Chashin, S. SINP, Moscow Skobeltsyn Institute of Nuclear Physics,Lomonosov Moscow State University,Moscow 119234,Russia Chepurnov, A. SINP, Moscow Skobeltsyn Institute of Nuclear Physics,Lomonosov Moscow State University,Moscow 119234,Russia Cicalò, C. INFN, Cagliari INFN Cagliari,Cagliari 09042,Italy Cifarelli, L. U. Bologna, DIFA INFN, Bologna Physics Department,Università degli Studi di Bologna,Bologna 40126,Italy INFN Bologna,Bologna 40126,Italy Cintas, D. Zaragoza U. Centro de Astropartículas y Física de Altas Energías,Universidad de Zaragoza,Zaragoza 50009,Spain Coccetti, F. Enrico Fermi Ctr., Rome Museo della fisica e Centro studi e Ricerche Enrico Fermi,Roma 00184,Italy Cocco, V. INFN, Cagliari INFN Cagliari,Cagliari 09042,Italy Colocci, M. U. Bologna, DIFA INFN, Bologna Physics Department,Università degli Studi di Bologna,Bologna 40126,Italy INFN Bologna,Bologna 40126,Italy Vilda, E. Conde Madrid, CIEMAT CIEMAT,Centro de Investigaciones Energéticas,Medioambientales y Tecnológicas,Madrid 28040,Spain Consiglio, L. Gran Sasso INFN Laboratori Nazionali del Gran Sasso,Assergi (AQ) 67100,Italy Copello, S. INFN, Genoa Genoa U. INFN Genova,Genova 16146,Italy Physics Department,Università degli Studi di Genova,Genova 16146,Italy Corning, J. Queen's U., Kingston Department of Physics,Engineering Physics and Astronomy,Queen's University,Kingston,ON K7L 3N6,Canada Covone, G. Naples U. INFN, Naples Physics Department,Università degli Studi "Federico II" di Napoli,Napoli 80126,Italy INFN Napoli,Napoli 80126,Italy Czudak, P. Jagiellonian U. M. Smoluchowski Institute of Physics,Jagiellonian University,30-348 Krakow,Poland D'Aniello, M. Naples U. Dipartimento di Strutture per l'Ingegneria e l'Architettura,Università degli Studi "Federico II" di Napoli,Napoli 80131,Italy D'Auria, S. INFN, Milan INFN Milano,Milano 20133,Italy Da Rocha Rolo, M. INFN, Turin INFN Torino,Torino 10125,Italy Dadoun, O. Paris U., VI-VII LPNHE,CNRS/IN2P3,Sorbonne Université,Université Paris Diderot,Paris 75252,France Daniel, M. Madrid, CIEMAT CIEMAT,Centro de Investigaciones Energéticas,Medioambientales y Tecnológicas,Madrid 28040,Spain Davini, S. INFN, Genoa INFN Genova,Genova 16146,Italy De Candia, A. Naples U. INFN, Naples Physics Department,Università degli Studi "Federico II" di Napoli,Napoli 80126,Italy INFN Napoli,Napoli 80126,Italy De Cecco, S. INFN, Rome Rome U. INFN Sezione di Roma,Roma 00185,Italy Physics Department,Sapienza Università di Roma,Roma 00185,Italy De Falco, A. Cagliari U. INFN, Cagliari Physics Department,Università degli Studi di Cagliari,Cagliari 09042,Italy INFN Cagliari,Cagliari 09042,Italy De Filippis, G. Naples U. INFN, Naples Physics Department,Università degli Studi "Federico II" di Napoli,Napoli 80126,Italy INFN Napoli,Napoli 80126,Italy De Gruttola, D. Salerno U. INFN, Salerno Physics Department,Università degli Studi di Salerno,Salerno 84084,Italy INFN Salerno,Salerno 84084,Italy De Guido, G. Milan Polytechnic Chemistry,Materials and Chemical Engineering Department "G. Natta",Politecnico di Milano,Milano 20133,Italy De Rosa, G. Naples U. INFN, Naples Physics Department,Università degli Studi "Federico II" di Napoli,Napoli 80126,Italy INFN Napoli,Napoli 80126,Italy Della Valle, M. INFN, Naples Capodimonte Observ. INFN Napoli,Napoli 80126,Italy INAF Osservatorio Astronomico di Capodimonte,80131 Napoli,Italy Dellacasa, G. INFN, Turin INFN Torino,Torino 10125,Italy De Pasquale, S. Salerno U. INFN, Salerno Physics Department,Università degli Studi di Salerno,Salerno 84084,Italy INFN Salerno,Salerno 84084,Italy Derbin, A.V. St. Petersburg, INP Saint Petersburg Nuclear Physics Institute,Gatchina 188350,Russia Devoto, A. Cagliari U. INFN, Cagliari Physics Department,Università degli Studi di Cagliari,Cagliari 09042,Italy INFN Cagliari,Cagliari 09042,Italy Di Noto, L. INFN, Genoa INFN Genova,Genova 16146,Italy Di Eusanio, F. Princeton U. Physics Department,Princeton University,Princeton,NJ 08544,USA Dionisi, C. INFN, Rome Rome U. INFN Sezione di Roma,Roma 00185,Italy Physics Department,Sapienza Università di Roma,Roma 00185,Italy Di Stefano, P. Queen's U., Kingston Department of Physics,Engineering Physics and Astronomy,Queen's University,Kingston,ON K7L 3N6,Canada Dolganov, G. Kurchatov Inst., Moscow National Research Centre Kurchatov Institute,Moscow 123182,Russia Dongiovanni, D. ENEA, Frascati Department of Fusion and Nuclear Safety Technologies,ENEA,Frascati 00044,Italy Dordei, F. INFN, Cagliari INFN Cagliari,Cagliari 09042,Italy Downing, M. Massachusetts U., Amherst Amherst Center for Fundamental Interactions and Physics Department,University of Massachusetts,Amherst,MA 01003,USA Erjavec, T. UC, Davis Department of Physics,University of California,Davis,CA 95616,USA Falciano, S. GSSI, Aquila INFN, Rome Gran Sasso Science Institute,L'Aquila 67100,Italy INFN Sezione di Roma,Roma 00185,Italy Farenzena, S. Edison SpA, Milan CarboSulcis S.p.A. - Miniera Monte Sinni,Cortoghiana 09010,Italy Diaz, M. Fernandez Madrid, CIEMAT CIEMAT,Centro de Investigaciones Energéticas,Medioambientales y Tecnológicas,Madrid 28040,Spain Filip, C. INCDTIM, Cluj Napoca National Institute for Research and Development of Isotope and Molecular Technologies,Cluj-Napoca 400293,Romania Fiorillo, G. Naples U. INFN, Naples Physics Department,Università degli Studi "Federico II" di Napoli,Napoli 80126,Italy INFN Napoli,Napoli 80126,Italy Franceschi, A. Frascati INFN Laboratori Nazionali di Frascati,Frascati 00044,Italy Franco, D. APC, Paris APC,Université de Paris,CNRS,Astroparticule et Cosmologie,Paris F-75013,France Frolov, E. Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics,Novosibirsk 630090,Russia Novosibirsk State University,Novosibirsk 630090,Russia Funicello, N. Salerno U. INFN, Salerno Physics Department,Università degli Studi di Salerno,Salerno 84084,Italy INFN Salerno,Salerno 84084,Italy Gabriele, F. Gran Sasso INFN Laboratori Nazionali del Gran Sasso,Assergi (AQ) 67100,Italy Galbiati, C. Princeton U. Gran Sasso GSSI, Aquila Physics Department,Princeton University,Princeton,NJ 08544,USA INFN Laboratori Nazionali del Gran Sasso,Assergi (AQ) 67100,Italy Gran Sasso Science Institute,L'Aquila 67100,Italy Garbini, M. Enrico Fermi Ctr., Rome INFN, Bologna Museo della fisica e Centro studi e Ricerche Enrico Fermi,Roma 00184,Italy INFN Bologna,Bologna 40126,Italy Abia, P. Garcia Madrid, CIEMAT CIEMAT,Centro de Investigaciones Energéticas,Medioambientales y Tecnológicas,Madrid 28040,Spain Gendotti, A. Zurich, ETH Institute for Particle Physics,ETH Zürich,Zürich 8093,Switzerland Ghiano, C. Gran Sasso INFN Laboratori Nazionali del Gran Sasso,Assergi (AQ) 67100,Italy Giampaolo, R.A. INFN, Turin Turin Polytechnic INFN Torino,Torino 10125,Italy Department of Electronics and Communications,Politecnico di Torino,Torino 10129,Italy Giganti, C. Paris U., VI-VII LPNHE,CNRS/IN2P3,Sorbonne Université,Université Paris Diderot,Paris 75252,France Giorgi, M.A. Pisa U. INFN, Pisa Physics Department,Università degli Studi di Pisa,Pisa 56127,Italy INFN Pisa,Pisa 56127,Italy Giovanetti, G.K. Williams Coll. Williams College,Physics Department,Williamstown,MA 01267 USA Gligan, M.L. INCDTIM, Cluj Napoca National Institute for Research and Development of Isotope and Molecular Technologies,Cluj-Napoca 400293,Romania Casanueva, V. Goicoechea Hawaii U. Department of Physics and Astronomy,University of Hawai'i,Honolulu,HI 96822,USA Gola, A. Fond. Bruno Kessler, Povo TIFPA-INFN, Trento Fondazione Bruno Kessler,Povo 38123,Italy Trento Institute for Fundamental Physics and Applications,Povo 38123,Italy Goretti, A.M. Gran Sasso INFN Laboratori Nazionali del Gran Sasso,Assergi (AQ) 67100,Italy Graciani Diaz, R. Barcelona, IFAE Universiatat de Barcelona,Barcelona E-08028,Catalonia,Spain Grigoriev, G.Y. Kurchatov Inst., Moscow National Research Centre Kurchatov Institute,Moscow 123182,Russia Grobov, A. Kurchatov Inst., Moscow Moscow Phys. Eng. Inst. National Research Centre Kurchatov Institute,Moscow 123182,Russia National Research Nuclear University MEPhI,Moscow 115409,Russia Gromov, M. SINP, Moscow Dubna, JINR Skobeltsyn Institute of Nuclear Physics,Lomonosov Moscow State University,Moscow 119234,Russia Joint Institute for Nuclear Research,Dubna 141980,Russia Guan, M. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing 100049,China Guerzoni, M. INFN, Bologna INFN Bologna,Bologna 40126,Italy Guetti, M. Gran Sasso INFN Laboratori Nazionali del Gran Sasso,Assergi (AQ) 67100,Italy Gulino, M. Libera U. Kore INFN, LNS Engineering and Architecture Faculty,Università di Enna Kore,Enna 94100,Italy INFN Laboratori Nazionali del Sud,Catania 95123,Italy Guo, C. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing 100049,China Hackett, B.R. PNL, Richland Pacific Northwest National Laboratory,Richland,WA 99352,USA Hallin, A. Alberta U. Department of Physics,University of Alberta,Edmonton,AB T6G 2R3,Canada Haranczyk, M. Jagiellonian U. M. Smoluchowski Institute of Physics,Jagiellonian University,30-348 Krakow,Poland Hill, S. Royal Holloway, U. of London Department of Physics,Royal Holloway University of London,Egham TW20 0EX,UK Horikawa, S. GSSI, Aquila Gran Sasso Gran Sasso Science Institute,L'Aquila 67100,Italy INFN Laboratori Nazionali del Gran Sasso,Assergi (AQ) 67100,Italy Hubaut, F. Marseille, CPPM Centre de Physique des Particules de Marseille,Aix Marseille Univ,CNRS/IN2P3,CPPM,Marseille,France Hugues, T. Warsaw, Copernicus Astron. Ctr. AstroCeNT,Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences,00-614 Warsaw,Poland Hungerford, E.V. Houston U. Department of Physics,University of Houston,Houston,TX 77204,USA Ianni, An. Princeton U. Gran Sasso Physics Department,Princeton University,Princeton,NJ 08544,USA INFN Laboratori Nazionali del Gran Sasso,Assergi (AQ) 67100,Italy Ippolito, V. INFN, Rome INFN Sezione di Roma,Roma 00185,Italy James, C.C. Fermilab Fermi National Accelerator Laboratory,Batavia,IL 60510,USA Jillings, C. SNOLAB, Lively Laurentian U. SNOLAB,Lively,ON P3Y 1N2,Canada Department of Physics and Astronomy,Laurentian University,Sudbury,ON P3E 2C6,Canada Kachru, P. GSSI, Aquila Gran Sasso Gran Sasso Science Institute,L'Aquila 67100,Italy INFN Laboratori Nazionali del Gran Sasso,Assergi (AQ) 67100,Italy Kemp, A.A. Queen's U., Kingston Department of Physics,Engineering Physics and Astronomy,Queen's University,Kingston,ON K7L 3N6,Canada Kendziora, C.L. Fermilab Fermi National Accelerator Laboratory,Batavia,IL 60510,USA Keppel, G. INFN, Legnaro INFN Laboratori Nazionali di Legnaro,Legnaro (Padova) 35020,Italy Khomyakov, A.V. Lomonosov Inst. Fine Chem. Tech. Mendeleev University of Chemical Technology,Moscow 125047,Russia Kim, S. Temple U. Physics Department,Temple University,Philadelphia,PA 19122,USA Kish, A. Hawaii U. Department of Physics and Astronomy,University of Hawai'i,Honolulu,HI 96822,USA Kochanek, I. Gran Sasso INFN Laboratori Nazionali del Gran Sasso,Assergi (AQ) 67100,Italy Kondo, K. Gran Sasso INFN Laboratori Nazionali del Gran Sasso,Assergi (AQ) 67100,Italy Korga, G. Royal Holloway, U. of London Department of Physics,Royal Holloway University of London,Egham TW20 0EX,UK Kubankin, A. Belgorod State U. Radiation Physics Laboratory,Belgorod National Research University,Belgorod 308007,Russia Kugathasan, R. INFN, Turin Turin Polytechnic INFN Torino,Torino 10125,Italy Department of Electronics and Communications,Politecnico di Torino,Torino 10129,Italy Kuss, M. INFN, Pisa INFN Pisa,Pisa 56127,Italy Kuźniak, M. Warsaw, Copernicus Astron. Ctr. AstroCeNT,Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences,00-614 Warsaw,Poland La Commara, M. Naples U. INFN, Naples Pharmacy Department,Università degli Studi "Federico II" di Napoli,Napoli 80131,Italy INFN Napoli,Napoli 80126,Italy La Delfa, L. INFN, Cagliari INFN Cagliari,Cagliari 09042,Italy La Grasta, D. CNISM Polaris S.r.l.,Misinto 20826,Italy Lai, M. Cagliari U. INFN, Cagliari APC, Paris Physics Department,Università degli Studi di Cagliari,Cagliari 09042,Italy INFN Cagliari,Cagliari 09042,Italy APC,Université de Paris,CNRS,Astroparticule et Cosmologie,Paris F-75013,France Lami, N. Edison SpA, Milan CarboSulcis S.p.A. - Miniera Monte Sinni,Cortoghiana 09010,Italy Langrock, S. Laurentian U. Department of Physics and Astronomy,Laurentian University,Sudbury,ON P3E 2C6,Canada Leyton, M. INFN, Naples INFN Napoli,Napoli 80126,Italy Li, X. Princeton U. Physics Department,Princeton University,Princeton,NJ 08544,USA Lidey, L. PNL, Richland Pacific Northwest National Laboratory,Richland,WA 99352,USA Lippi, F. Edison SpA, Milan CarboSulcis S.p.A. - Miniera Monte Sinni,Cortoghiana 09010,Italy Lissia, M. INFN, Cagliari INFN Cagliari,Cagliari 09042,Italy Longo, G. Naples U. INFN, Naples Physics Department,Università degli Studi "Federico II" di Napoli,Napoli 80126,Italy INFN Napoli,Napoli 80126,Italy Maccioni, N. Edison SpA, Milan CarboSulcis S.p.A. - Miniera Monte Sinni,Cortoghiana 09010,Italy Machulin, I.N. Kurchatov Inst., Moscow Moscow Phys. Eng. Inst. National Research Centre Kurchatov Institute,Moscow 123182,Russia National Research Nuclear University MEPhI,Moscow 115409,Russia Mapelli, L. Princeton U. Physics Department,Princeton University,Princeton,NJ 08544,USA Marasciulli, A. Pisa U. Physics Department,Università degli Studi di Pisa,Pisa 56127,Italy Margotti, A. INFN, Bologna INFN Bologna,Bologna 40126,Italy Mari, S.M. INFN, Rome3 Rome III U. INFN Roma Tre,Roma 00146,Italy Mathematics and Physics Department,Università degli Studi Roma Tre,Roma 00146,Italy Maricic, J. Hawaii U. Department of Physics and Astronomy,University of Hawai'i,Honolulu,HI 96822,USA Marinelli, M. INFN, Genoa INFN Genova,Genova 16146,Italy Martínez, M. Zaragoza U. ARAID, Zaragoza Centro de Astropartículas y Física de Altas Energías,Universidad de Zaragoza,Zaragoza 50009,Spain Fundación ARAID,Universidad de Zaragoza,Zaragoza 50009,Spain Rojas, A.D. Martinez INFN, Turin Turin Polytechnic INFN Torino,Torino 10125,Italy Department of Electronics and Communications,Politecnico di Torino,Torino 10129,Italy Martini, A. Edison SpA, Milan ENEA, Rome CarboSulcis S.p.A. - Miniera Monte Sinni,Cortoghiana 09010,Italy Now at Ministero dello Sviluppo Economico,Palazzo Piacentini,00187 Roma,Italy Martoff, C.J. Temple U. Physics Department,Temple University,Philadelphia,PA 19122,USA Mascia, M. Cagliari U. Department of Mechanical,Chemical,and Materials Engineering,Università degli Studi,Cagliari 09123,Italy Masetto, M. CNISM Polaris S.r.l.,Misinto 20826,Italy Masoni, A. INFN, Cagliari INFN Cagliari,Cagliari 09042,Italy Mazzi, A. Fond. Bruno Kessler, Povo TIFPA-INFN, Trento Fondazione Bruno Kessler,Povo 38123,Italy Trento Institute for Fundamental Physics and Applications,Povo 38123,Italy McDonald, A.B. Queen's U., Kingston Department of Physics,Engineering Physics and Astronomy,Queen's University,Kingston,ON K7L 3N6,Canada Mclaughlin, J. TRIUMF Royal Holloway, U. of London TRIUMF,4004 Wesbrook Mall,Vancouver,BC V6T 2A3,Canada Department of Physics,Royal Holloway University of London,Egham TW20 0EX,UK Messina, A. INFN, Rome Rome U. INFN Sezione di Roma,Roma 00185,Italy Physics Department,Sapienza Università di Roma,Roma 00185,Italy Meyers, P.D. Princeton U. Physics Department,Princeton University,Princeton,NJ 08544,USA Miletic, T. Hawaii U. Department of Physics and Astronomy,University of Hawai'i,Honolulu,HI 96822,USA Milincic, R. Hawaii U. Department of Physics and Astronomy,University of Hawai'i,Honolulu,HI 96822,USA Miola, R. CNISM Polaris S.r.l.,Misinto 20826,Italy Moggi, A. INFN, Pisa INFN Pisa,Pisa 56127,Italy Moharana, A. GSSI, Aquila Gran Sasso Gran Sasso Science Institute,L'Aquila 67100,Italy INFN Laboratori Nazionali del Gran Sasso,Assergi (AQ) 67100,Italy Moioli, S. Milan Polytechnic Chemistry,Materials and Chemical Engineering Department "G. Natta",Politecnico di Milano,Milano 20133,Italy Monroe, J. Royal Holloway, U. of London Department of Physics,Royal Holloway University of London,Egham TW20 0EX,UK Morisi, S. Naples U. INFN, Naples Physics Department,Università degli Studi "Federico II" di Napoli,Napoli 80126,Italy INFN Napoli,Napoli 80126,Italy Morrocchi, M. INFN, Pisa Pisa U. INFN Pisa,Pisa 56127,Italy Physics Department,Università degli Studi di Pisa,Pisa 56127,Italy Mozhevitina, E.N. Lomonosov Inst. Fine Chem. Tech. Mendeleev University of Chemical Technology,Moscow 125047,Russia Mr, T. Mróz, T. Jagiellonian U. M. Smoluchowski Institute of Physics,Jagiellonian University,30-348 Krakow,Poland Muratova, V.N. St. Petersburg, INP Saint Petersburg Nuclear Physics Institute,Gatchina 188350,Russia Murenu, A. INFN, Cagliari INFN Cagliari,Cagliari 09042,Italy Muscas, C. Cagliari U. INFN, Cagliari Department of Electrical and Electronic Engineering,Università degli Studi di Cagliari,Cagliari 09123,Italy INFN Cagliari,Cagliari 09042,Italy Musenich, L. INFN, Genoa Genoa U. INFN Genova,Genova 16146,Italy Physics Department,Università degli Studi di Genova,Genova 16146,Italy Musico, P. INFN, Genoa INFN Genova,Genova 16146,Italy Nania, R. INFN, Bologna INFN Bologna,Bologna 40126,Italy Napolitano, T. Frascati INFN Laboratori Nazionali di Frascati,Frascati 00044,Italy Navrer Agasson, A. Paris U., VI-VII LPNHE,CNRS/IN2P3,Sorbonne Université,Université Paris Diderot,Paris 75252,France Nessi, M. CERN CERN,European Organization for Nuclear Research 1211 Geneve 23,Switzerland,CERN Nikulin, I. Belgorod State U. Radiation Physics Laboratory,Belgorod National Research University,Belgorod 308007,Russia Nowak, J. Lancaster U. Physics Department,Lancaster University,Lancaster LA1 4YB,UK Oleinik, A. Belgorod State U. Radiation Physics Laboratory,Belgorod National Research University,Belgorod 308007,Russia Oleynikov, V. Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics,Novosibirsk 630090,Russia Novosibirsk State University,Novosibirsk 630090,Russia Pagani, L. UC, Davis Department of Physics,University of California,Davis,CA 95616,USA Pallavicini, M. Genoa U. INFN, Genoa Physics Department,Università degli Studi di Genova,Genova 16146,Italy INFN Genova,Genova 16146,Italy Palmas, S. Cagliari U. Department of Mechanical,Chemical,and Materials Engineering,Università degli Studi,Cagliari 09123,Italy Pandola, L. INFN, LNS INFN Laboratori Nazionali del Sud,Catania 95123,Italy Pantic, E. UC, Davis Department of Physics,University of California,Davis,CA 95616,USA Paoloni, E. INFN, Pisa Pisa U. INFN Pisa,Pisa 56127,Italy Physics Department,Università degli Studi di Pisa,Pisa 56127,Italy Paternoster, G. Fond. Bruno Kessler, Povo TIFPA-INFN, Trento Fondazione Bruno Kessler,Povo 38123,Italy Trento Institute for Fundamental Physics and Applications,Povo 38123,Italy Pegoraro, P.A. Cagliari U. INFN, Cagliari Department of Electrical and Electronic Engineering,Università degli Studi di Cagliari,Cagliari 09123,Italy INFN Cagliari,Cagliari 09042,Italy Pellegrini, L.A. Milan Polytechnic Chemistry,Materials and Chemical Engineering Department "G. Natta",Politecnico di Milano,Milano 20133,Italy Pellegrino, C. INFN, Bologna INFN Bologna,Bologna 40126,Italy Pelczar, K. Jagiellonian U. M. Smoluchowski Institute of Physics,Jagiellonian University,30-348 Krakow,Poland Perotti, F. Milan Polytechnic INFN, Milan Civil and Environmental Engineering Department,Politecnico di Milano,Milano 20133,Italy INFN Milano,Milano 20133,Italy Pesudo, V. Madrid, CIEMAT CIEMAT,Centro de Investigaciones Energéticas,Medioambientales y Tecnológicas,Madrid 28040,Spain Picciau, E. Cagliari U. INFN, Cagliari Physics Department,Università degli Studi di Cagliari,Cagliari 09042,Italy INFN Cagliari,Cagliari 09042,Italy Pietropaolo, F. CERN CERN,European Organization for Nuclear Research 1211 Geneve 23,Switzerland,CERN Pinna, T. ENEA, Frascati Department of Fusion and Nuclear Safety Technologies,ENEA,Frascati 00044,Italy Pocar, A. Massachusetts U., Amherst Amherst Center for Fundamental Interactions and Physics Department,University of Massachusetts,Amherst,MA 01003,USA Podda, P. Edison SpA, Milan CarboSulcis S.p.A. - Miniera Monte Sinni,Cortoghiana 09010,Italy Poehlmann, D.M. UC, Davis Department of Physics,University of California,Davis,CA 95616,USA Pordes, S. Fermilab Fermi National Accelerator Laboratory,Batavia,IL 60510,USA Poudel, S.S. Houston U. Department of Physics,University of Houston,Houston,TX 77204,USA Pralavorio, P. Marseille, CPPM Centre de Physique des Particules de Marseille,Aix Marseille Univ,CNRS/IN2P3,CPPM,Marseille,France Price, D. Manchester U. Department of Physics and Astronomy,The University of Manchester,Manchester M13 9PL,UK Raffaelli, F. INFN, Pisa INFN Pisa,Pisa 56127,Italy Ragusa, F. Milan U. INFN, Milan Physics Department,Università degli Studi di Milano,Milano 20133,Italy INFN Milano,Milano 20133,Italy Ramirez, A. Houston U. Department of Physics,University of Houston,Houston,TX 77204,USA Razeti, M. INFN, Cagliari INFN Cagliari,Cagliari 09042,Italy Razeto, A. Gran Sasso INFN Laboratori Nazionali del Gran Sasso,Assergi (AQ) 67100,Italy Renshaw, A.L. Houston U. Department of Physics,University of Houston,Houston,TX 77204,USA Rescia, S. Brookhaven Brookhaven National Laboratory,Upton,NY 11973,USA Rescigno, M. INFN, Rome INFN Sezione di Roma,Roma 00185,Italy Resnati, F. CERN CERN,European Organization for Nuclear Research 1211 Geneve 23,Switzerland,CERN Retiere, F. TRIUMF TRIUMF,4004 Wesbrook Mall,Vancouver,BC V6T 2A3,Canada Rignanese, L.P. INFN, Bologna U. Bologna, DIFA INFN Bologna,Bologna 40126,Italy Physics Department,Università degli Studi di Bologna,Bologna 40126,Italy Ripoli, C. INFN, Salerno Salerno U. INFN Salerno,Salerno 84084,Italy Physics Department,Università degli Studi di Salerno,Salerno 84084,Italy Rivetti, A. INFN, Turin INFN Torino,Torino 10125,Italy Rode, J. Paris U., VI-VII APC, Paris LPNHE,CNRS/IN2P3,Sorbonne Université,Université Paris Diderot,Paris 75252,France APC,Université de Paris,CNRS,Astroparticule et Cosmologie,Paris F-75013,France Romero, L. Madrid, CIEMAT CIEMAT,Centro de Investigaciones Energéticas,Medioambientales y Tecnológicas,Madrid 28040,Spain Rossi, M. INFN, Genoa Genoa U. INFN Genova,Genova 16146,Italy Physics Department,Università degli Studi di Genova,Genova 16146,Italy Rubbia, A. Zurich, ETH Institute for Particle Physics,ETH Zürich,Zürich 8093,Switzerland Rucaj, M. CNISM Polaris S.r.l.,Misinto 20826,Italy Sabiu, G.M. Edison SpA, Milan CarboSulcis S.p.A. - Miniera Monte Sinni,Cortoghiana 09010,Italy Salatino, P. Naples U. INFN, Naples Chemical,Materials,and Industrial Production Engineering Department,Università degli Studi "Federico II" di Napoli,Napoli 80126,Italy INFN Napoli,Napoli 80126,Italy Samoylov, O. Dubna, JINR Joint Institute for Nuclear Research,Dubna 141980,Russia Sánchez García, E. Madrid, CIEMAT CIEMAT,Centro de Investigaciones Energéticas,Medioambientales y Tecnológicas,Madrid 28040,Spain Sandford, E. Manchester U. Department of Physics and Astronomy,The University of Manchester,Manchester M13 9PL,UK Sanfilippo, S. Rome III U. INFN, Rome3 Mathematics and Physics Department,Università degli Studi Roma Tre,Roma 00146,Italy INFN Roma Tre,Roma 00146,Italy Sangiorgio, V.A. Milan Polytechnic Chemistry,Materials and Chemical Engineering Department "G. Natta",Politecnico di Milano,Milano 20133,Italy Santacroce, V. Edison SpA, Milan CarboSulcis S.p.A. - Miniera Monte Sinni,Cortoghiana 09010,Italy Santone, D. Royal Holloway, U. of London Department of Physics,Royal Holloway University of London,Egham TW20 0EX,UK Santorelli, R. Madrid, CIEMAT CIEMAT,Centro de Investigaciones Energéticas,Medioambientales y Tecnológicas,Madrid 28040,Spain Santucci, A. ENEA, Frascati Department of Fusion and Nuclear Safety Technologies,ENEA,Frascati 00044,Italy Savarese, C. Princeton U. Physics Department,Princeton University,Princeton,NJ 08544,USA Scapparone, E. INFN, Bologna INFN Bologna,Bologna 40126,Italy Schlitzer, B. UC, Davis Department of Physics,University of California,Davis,CA 95616,USA Scioli, G. U. Bologna, DIFA INFN, Bologna Physics Department,Università degli Studi di Bologna,Bologna 40126,Italy INFN Bologna,Bologna 40126,Italy Semenov, D.A. St. Petersburg, INP Saint Petersburg Nuclear Physics Institute,Gatchina 188350,Russia Shaw, B. TRIUMF TRIUMF,4004 Wesbrook Mall,Vancouver,BC V6T 2A3,Canada Shchagin, A. Belgorod State U. Radiation Physics Laboratory,Belgorod National Research University,Belgorod 308007,Russia Sheshukov, A. Dubna, JINR Joint Institute for Nuclear Research,Dubna 141980,Russia Simeone, M. Naples U. INFN, Naples Chemical,Materials,and Industrial Production Engineering Department,Università degli Studi "Federico II" di Napoli,Napoli 80126,Italy INFN Napoli,Napoli 80126,Italy Skensved, P. Queen's U., Kingston Department of Physics,Engineering Physics and Astronomy,Queen's University,Kingston,ON K7L 3N6,Canada Skorokhvatov, M.D. Kurchatov Inst., Moscow Moscow Phys. Eng. Inst. National Research Centre Kurchatov Institute,Moscow 123182,Russia National Research Nuclear University MEPhI,Moscow 115409,Russia Smirnov, O. Dubna, JINR Joint Institute for Nuclear Research,Dubna 141980,Russia Smith, B. TRIUMF TRIUMF,4004 Wesbrook Mall,Vancouver,BC V6T 2A3,Canada Sokolov, A. Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics,Novosibirsk 630090,Russia Novosibirsk State University,Novosibirsk 630090,Russia Stefanizzi, R. Cagliari U. INFN, Cagliari Physics Department,Università degli Studi di Cagliari,Cagliari 09042,Italy INFN Cagliari,Cagliari 09042,Italy Steri, A. INFN, Cagliari INFN Cagliari,Cagliari 09042,Italy Stracka, S. INFN, Pisa INFN Pisa,Pisa 56127,Italy Strickland, V. Carleton U. Department of Physics,Carleton University,Ottawa,ON K1S 5B6,Canada Stringer, M. Queen's U., Kingston Department of Physics,Engineering Physics and Astronomy,Queen's University,Kingston,ON K7L 3N6,Canada Sulis, S. Cagliari U. INFN, Cagliari Department of Electrical and Electronic Engineering,Università degli Studi di Cagliari,Cagliari 09123,Italy INFN Cagliari,Cagliari 09042,Italy Suvorov, Y. Naples U. INFN, Naples Kurchatov Inst., Moscow Physics Department,Università degli Studi "Federico II" di Napoli,Napoli 80126,Italy INFN Napoli,Napoli 80126,Italy National Research Centre Kurchatov Institute,Moscow 123182,Russia Szelc, A.M. Manchester U. Department of Physics and Astronomy,The University of Manchester,Manchester M13 9PL,UK Zsücs-Balázs, J.Z. INCDTIM, Cluj Napoca National Institute for Research and Development of Isotope and Molecular Technologies,Cluj-Napoca 400293,Romania Tartaglia, R. Gran Sasso INFN Laboratori Nazionali del Gran Sasso,Assergi (AQ) 67100,Italy Testera, G. INFN, Genoa INFN Genova,Genova 16146,Italy Thorpe, T.N. GSSI, Aquila Gran Sasso Gran Sasso Science Institute,L'Aquila 67100,Italy INFN Laboratori Nazionali del Gran Sasso,Assergi (AQ) 67100,Italy Tonazzo, A. APC, Paris APC,Université de Paris,CNRS,Astroparticule et Cosmologie,Paris F-75013,France Torres-Lara, S. Houston U. Department of Physics,University of Houston,Houston,TX 77204,USA Tosti, S. ENEA, Frascati Department of Fusion and Nuclear Safety Technologies,ENEA,Frascati 00044,Italy Tricomi, A. INFN, Catania U. Catania (main) INFN Catania,Catania 95121,Italy Università of Catania,Catania 95124,Italy Tuveri, M. INFN, Cagliari INFN Cagliari,Cagliari 09042,Italy Unzhakov, E.V. St. Petersburg, INP Saint Petersburg Nuclear Physics Institute,Gatchina 188350,Russia Usai, G. Cagliari U. INFN, Cagliari Physics Department,Università degli Studi di Cagliari,Cagliari 09042,Italy INFN Cagliari,Cagliari 09042,Italy John, T. Vallivilayil GSSI, Aquila Gran Sasso Gran Sasso Science Institute,L'Aquila 67100,Italy INFN Laboratori Nazionali del Gran Sasso,Assergi (AQ) 67100,Italy Vescovi, S. Frascati INFN Laboratori Nazionali di Frascati,Frascati 00044,Italy Viant, T. Zurich, ETH Institute for Particle Physics,ETH Zürich,Zürich 8093,Switzerland Viel, S. Carleton U. Department of Physics,Carleton University,Ottawa,ON K1S 5B6,Canada Vishneva, A. Dubna, JINR Joint Institute for Nuclear Research,Dubna 141980,Russia Vogelaar, R.B. Virginia Tech. Virginia Tech,Blacksburg,VA 24061,USA Wada, M. Warsaw, Copernicus Astron. Ctr. AstroCeNT,Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences,00-614 Warsaw,Poland Wang, H. UCLA Physics and Astronomy Department,University of California,Los Angeles,CA 90095,USA Wang, Y. UCLA Physics and Astronomy Department,University of California,Los Angeles,CA 90095,USA Westerdale, S. INFN, Cagliari INFN Cagliari,Cagliari 09042,Italy Wheadon, R.J. INFN, Turin INFN Torino,Torino 10125,Italy Williams, L. Fort Lewis Coll. Department of Physics and Engineering,Fort Lewis College,Durango,CO 81301,USA Wojcik, Ma.M. Jagiellonian U. M. Smoluchowski Institute of Physics,Jagiellonian University,30-348 Krakow,Poland Wojcik, Ma. Lodz, Tech. U. Institute of Applied Radiation Chemistry,Lodz University of Technology,93-590 Lodz,Poland Xiao, X. UCLA Physics and Astronomy Department,University of California,Los Angeles,CA 90095,USA Yang, C. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing 100049,China Zani, A. CERN CERN,European Organization for Nuclear Research 1211 Geneve 23,Switzerland,CERN Zenobio, F. CNISM Polaris S.r.l.,Misinto 20826,Italy Zichichi, A. U. Bologna, DIFA INFN, Bologna Physics Department,Università degli Studi di Bologna,Bologna 40126,Italy INFN Bologna,Bologna 40126,Italy Zuzel, G. Jagiellonian U. M. Smoluchowski Institute of Physics,Jagiellonian University,30-348 Krakow,Poland Zykova, M.P. Lomonosov Inst. Fine Chem. Tech. Mendeleev University of Chemical Technology,Moscow 125047,Russia DarkSide Collaboration 359 4 Eur. Phys. J. C 81 2021 2276293 12537149 http://cds.cern.ch/record/2751036/files/2101.08686.pdf Fulltext 2276292 37994 http://cds.cern.ch/record/2751036/files/Fig18.png 00017 McCabe-Thiele diagram for the \ce{^39Ar}-\ce{^40Ar} distillation with the input parameters of \reftab{input_parameters}, for $B/F$= \AriaNominalHeavyRecovery: mole fraction of \ce{39Ar} in the liquid phase, $y(\ce{39Ar})$, vs. mole fraction of \ce{39Ar} in the vapor phase, $x(\ce{39Ar})$. The insert is a blow-up of the region indicated by the shaded lines. 2276294 33128 http://cds.cern.ch/record/2751036/files/Fig14.png 00013 Reboiler (red), condenser (blue), and feed (black), isotopic ratio $R_{\ce{N_2}}$ vs. time for \ce{^29N_2}-\ce{^28N_2} distillation in the prototype plant. 2276295 18267 http://cds.cern.ch/record/2751036/files/Fig15.png 00014 Separation factor $S^0_{28-29}$ for \ce{^29N_2}-\ce{^28N_2} distillation in the prototype plant. 2276296 22248 http://cds.cern.ch/record/2751036/files/Fig16.png 00015 HETP vs. time for \ce{^29N_2}-\ce{^28N_2} distillation in the prototype plant. 2276297 10324 http://cds.cern.ch/record/2751036/files/Fig17.png 00016 \ce{^39Ar}-\ce{^40Ar} distillation with the McCabe-Thiele method: $B$ mass flow vs. $B/F$. 2276298 24935 http://cds.cern.ch/record/2751036/files/Fig10.png 00009 Measured pressure in the auxiliary system downstream of the compressor vs time, for \ce{^29N_2}-\ce{^28N_2} distillation in the prototype plant. 2276299 19488 http://cds.cern.ch/record/2751036/files/Fig11.png 00010 Measured vapor mass flow in the auxiliary system downstream of the compressor vs time, for \ce{^29N_2}-\ce{^28N_2} distillation in the prototype plant. 2276300 25638 http://cds.cern.ch/record/2751036/files/Fig12.png 00011 Measured pressure inside the column in the top vs time, for \ce{^29N_2}-\ce{^28N_2} distillation in the prototype plant. 2276301 26212 http://cds.cern.ch/record/2751036/files/Fig13.png 00012 Measured pressure difference condenser vs. reboiler in the column vs time, for \ce{^29N_2}-\ce{^28N_2} distillation in the prototype plant. 2276302 316953 http://cds.cern.ch/record/2751036/files/Fig6.png 00005 Horizontal cut of the mineshaft showing the stainless steel structure, in green, for positioning the column, in magenta. The blue rectangle on the right is the elevator. 2276303 246951 http://cds.cern.ch/record/2751036/files/Fig7.png 00006 Installation of the first support structure in the shaft of the Carbosulcis mine, Seruci site. 2276304 1845612 http://cds.cern.ch/record/2751036/files/Fig4.png 00003 The bottom module of the column. 2276305 791548 http://cds.cern.ch/record/2751036/files/Fig5.png 00004 A view from above of a liquid distributor. 2276306 505121 http://cds.cern.ch/record/2751036/files/Fig2.png 00001 The central modules of the column stored at Carbosulcis S.p.A., Nuraxi-Figus site, ready for installation. 2276307 2193556 http://cds.cern.ch/record/2751036/files/Fig3.png 00002 The top module of the column. 2276308 102957 http://cds.cern.ch/record/2751036/files/Fig1.png 00000 Simplified scheme of the \Aria\ plant. The full description can be found in the text. The color-coding of the heat exchangers is such that the red section provides heat to the fluid while the blue section removes heat from it. The scheme also reports the values of operating pressure and temperature for \ce{^39Ar}-\ce{^40Ar} distillation, as obtained from a plant engineering simulation (Aspen - HYSYS). 2276309 741273 http://cds.cern.ch/record/2751036/files/Fig8.png 00007 The prototype \Aria\ plant in the Laveria building of the Carbosulcis mine, Nuraxi-Figus site, viewed from the basis of the column. 2276310 762991 http://cds.cern.ch/record/2751036/files/Fig9.png 00008 Aerial view of the prototype \Aria\ plant located in the Laveria building of the Carbosulcis mine, Nuraxi-Figus site. From bottom left, clockwise, the liquid pumps, the cryocoolers and the gas compressor. 2291691 4588108 http://cds.cern.ch/record/2751036/files/s10052-021-09121-9.pdf Fulltext from Publisher 2291691 13533 http://cds.cern.ch/record/2751036/files/s10052-021-09121-9.gif?subformat=icon icon Fulltext from publisher 2291691 257138 http://cds.cern.ch/record/2751036/files/s10052-021-09121-9.jpg?subformat=icon-700 icon-700 Fulltext from publisher 2291691 73618 http://cds.cern.ch/record/2751036/files/s10052-021-09121-9.jpg?subformat=icon-180 icon-180 Fulltext from publisher 2291763 4588108 http://cds.cern.ch/record/2751036/files/scoap3-fulltext.pdf?subformat=pdfa pdfa Article from SCOAP3 2334748 4588108 http://cds.cern.ch/record/2751036/files/scoap.pdf Article from SCOAP3 13 ARTICLE 2750908 SzGeCERN 20210421184352.0 9780081025437 electronic version electronic version oai:cds.cern.ch:2750908 cerncds:BOOK EBL 6304271 eng R857.T47 .S564 2020 610.28 Thomas, Daniel J 3D printing in medicine and surgery applications in healthcare San Diego, CA Elsevier Science & Technology 2020 306 p ebook Woodhead Publishing series in biomaterials Cover -- Title -- Copyright -- Contents -- Contributors -- About the editors -- Preface -- 1 - Introduction -- Chapter outline -- 1.1 - Introduction -- 2 - Clinical uses of 3D printing -- Chapter outline -- 2.1 - Introduction -- 2.2 - Pre-surgical treatment assessment and planning -- 2.3 - Customized medical implants -- 2.4 - For medical and patient education purposes -- 2.5 - Bioprinting and modeling -- 2.6 - Conclusions -- References -- Part 1 3D Printing Techniques forAugmenting Medicine -- 3 - 3D printing techniques in medicine and surgery -- Chapter outline -- 3.1 - Introduction -- 3.2 - 3D printing from the beginning -- 3.3 - The 3D printing process -- 3.4 - 3D-printing process from patient to process -- 3.5 - 3D printable materials -- 3.5.1 - Acrylonitrile butadiene styrene -- 3.5.2 - Polylactic acid -- 3.5.3 - Polylvinyl alcohol -- 3.5.4 - Polyethylene terephthalate -- 3.5.5 - Polyethylene terephthalate glycol -- 3.5.6 - Polyethylene cotrimethylene terephthalate -- 3.5.7 - High impact polystyrene -- 3.5.8 - Nylon 645 -- 3.5.9 - Metal transfer PLA -- 3.5.10 - Carbon fiber PLA -- 3.5.11 - Flexible thermoplastic polyurethane -- 3.6 - Fused deposition manufacturing -- 3.7 - Stereo lithography -- 3.8 - Selective laser sintering -- 3.9 - Inkjet binder jetting -- 3.10 - 3D-bioprinting -- References -- 4 - Prosthetic devices -- Chapter outline -- 4.1 - Introduction -- 4.2 - Medical applications of 3D printing in prosthetic devices -- 4.3 - Cosmetic prosthetics -- 4.4 - Body powered prosthetics -- 4.5 - Bionic prosthetics -- 4.6 - Prosthetic socket fittings -- 4.7 - Advanced prosthetic devices -- 4.8 - Conclusion -- 5 - Operative models -- Chapter outline -- 5.1 - Introduction -- 5.2 - Virtual preoperative surgical rehearsal -- 5.3 - Treatment of fracture -- 5.4 - Resection of tumors -- 5.5 - Patient engagement and consenting -- 5.6 - Conclusion. References -- 6 - Surgical instruments and medical implants -- Chapter outline -- 6.1 - Introduction -- 6.2 - 3D printed instruments -- 6.3 - Surgical planning and training -- 6.4 - Point-of-care manufacturing -- 6.5 - Patient-specific implants -- 6.6 - Conclusions -- References -- Part 2 Applications of 3D Printingin Transplantation Procedures -- 7 - 3D printing in dental implants -- Chapter outline -- 7.1 - Introduction -- 7.2 - Dental implants -- 7.3 - 3D printing -- 7.4 - Materials in 3D printing of dental implants -- 7.5 - 3D printing in dental implants -- 7.6 - Techniques in 3D printing and application in dentistry -- 7.6.1 - Stereolithography -- 7.6.2 - Inkjet bioprinting -- 7.6.3 - Photopolymer jetting -- 7.6.4 - Powder binder 3D printing -- 7.6.5 - Direct metal laser sintering -- 7.7 - Challenges and future of 3D printing in dentistry -- 7.8 - Conclusion -- References -- 8 - Organ bioprinting -- Chapter outline -- 8.1 - Introduction -- 8.1.1 - Present therapeutic intervention for organ failure -- 8.1.2 - Factors that influence 3D printing -- 8.1.2.1 - Materials properties -- 8.1.2.2 - Printing precision -- 8.1.2.3 - Environmental control -- 8.1.2.4 - Aseptic conditions -- 8.1.3 - Benefits of 3D printing of organ -- 8.1.3.1 - Custom-made personalized construct -- 8.1.3.2 - Enhanced productivity -- 8.1.3.3 - Increased cost-efficiency -- 8.1.3.4 - Democratization and collaboration -- 8.2 - Bioinks design and techniques for organ printing -- 8.2.1 - Cell-laden hydrogels -- 8.2.2 - Bioinks in extrusion bioprinting -- 8.2.3 - Microcarriers -- 8.2.4 - Cell suspension bioinks -- 8.2.5 - Decellularized matrix components -- 8.3 - Bioprinting of organs -- 8.3.1 - Vascular system -- 8.3.2 - Human Mandible bone bioprinting -- 8.3.3 - Neuronal tissue -- 8.4 - Future and concluding remark -- Acknowledgment -- References -- 9 - Biomanufacturing. Chapter outline -- 9.1 - Introduction -- 9.1.1 - Conventional techniques scaffold engineering -- 9.1.2 - Biomanufacturing additive processes -- 9.2 - Inks: 3D printable biomaterials -- 9.2.1 - Polymeric scaffolds -- 9.2.1.1 - Poly (lactic acid) -- 9.2.1.2 - Poly(D,L-lactide) -- 9.2.1.3 - Poly (propylene fumarate) (PPF) -- 9.2.1.4 - Poly (caprolactone) (PCL) -- 9.2.1.5 - Poly (butylene terephthalate) -- 9.2.1.6 - Acrylonitrile butadiene styrene (ABS) -- 9.2.1.7 - Polyether ether ketone (PEEK) -- 9.2.2 - Hydrogel systems -- 9.2.3 - Inorganic and composite inks -- 9.2.3.1 - Hydroxyapatite (HA) -- 9.2.3.2 - Tricalcium phosphates (TCP) -- 9.2.3.3 - Ceramic-based composites -- 9.2.3.4 - Polymer-based composites -- 9.2.3.5 - Hydrogel-based composites -- 9.3 - Modeling and architecture design of scaffolds -- 9.4 - Future and concluding remarks -- References -- 10 - 3D bioprinting of tissue systems -- Chapter outline -- 10.1 - Introduction -- 10.2 - Scaffold-based approach -- 10.2.1 - Polymers -- 10.2.2 - Metals -- 10.2.3 - Ceramics -- 10.2.4 - Composites -- 10.3 - 3D printing techniques for scaffold fabrication of tissue construct -- 10.3.1 - Direct 3D printing -- 10.3.2 - Fused deposition modeling (FDM) -- 10.3.3 - Selective laser sintering (SLS) -- 10.3.4 - Stereolithography (SLA) -- 10.4 - Decellularized ECM -- 10.5 - Scaffold less approach -- 10.5.1 - Cell/cell aggregates -- 10.6 - Biopaper -- 10.7 - Postprocessing -- 10.8 - Tissue formation -- 10.9 - Bioactive molecules -- 10.10 - Vascularization -- 10.11 - Liver -- 10.12 - Skin -- 10.13 - Conclusion -- Acknowledgment -- References -- 11 - Transplantable scaffolds -- Chapter outline -- 11.1 - Introduction -- 11.2 - Scaffold manufacturing processes -- 11.3 - Scaffold materials -- 11.3.1 - Hydrogels and biological materials -- 11.3.2 - Polymers -- 11.3.3 - Ceramics and glasses -- 11.3.4 - Metals. 11.3.5 - Composites and multimaterial -- 11.4 - Mechanical performance of scaffolds -- 11.4.1 - Effect of material choice on mechanical performance -- 11.4.2 - Effect of porosity on mechanical performance -- 11.4.3 - Effect of scaffold design on mechanical performance -- 11.4.4 - Anisotropy and other considerations related to mechanical performance -- 11.5 - Scaffold seeding and cell proliferation -- 11.5.1 - Cell types and cell sources -- 11.5.2 - Cell seeding methods -- 11.6 - Scaffold long-term performance and tissue maturation -- 11.7 - Conclusions -- References -- 12 - 3D printing equipment in medicine -- Chapter outline -- 12.1 - Introduction -- 12.2 - Evolution and history of 3D printing -- 12.3 - Process of creating 3D models or How 3D models are created -- 12.3.1 - Acquisition of image data -- 12.3.1.1 - Computed tomography (CT) -- 12.3.1.2 - Magnetic resonance imaging (MRI) -- 12.3.1.3 - Ultrasound imaging -- 12.3.2 - Segmentation or mesh creation -- 12.3.3 - 3D modelling -- 12.4 - Process of 3D bioprinting -- 12.4.1 - Laser-based bioprinting (LAB) -- 12.4.2 - Droplet-based bioprinting (DBB) -- 12.4.3 - Extrusion-based bioprinting (EBB) -- 12.4.4 - Stereolithography bioprinting -- 12.5 - Applications of 3D printing in pharma industry -- 12.5.1 - Application of 3DP technology for oral dosage form -- 12.5.1.1 - Single active pharmaceutical ingredient (API) tablets -- 12.5.1.2 - Multiple active pharmaceutical ingredient (API) tablets -- 12.5.2 - Application of 3DP technology for topical dosage form -- 12.5.2.1 - Implants for topical delivery -- 12.5.2.2 - Microneedles (MN) for topical delivery -- 12.5.3 - 3D FDM-printing of personalized medicine and digital pharmacies -- 12.6 - Applications of 3D printing in medical education -- 12.6.1 - General medical education -- 12.6.2 - Simulation training -- 12.6.3 - Surgical education. 12.6.4 - Patient education -- 12.7 - Applications of 3D printing for generation of in vitro disease models -- 12.8 - High resolution 3D printing to improve healthcare -- 12.8.1 - Different types of high-resolution 3D printing techniques -- 12.8.1.1 - Direct write printing (DW) -- 12.8.1.2 - Electrohydrodynamic printing (EHD) -- 12.8.1.3 - 3D direct laser writing (DLW) -- 12.8.1.4 - Focused ion beam (FIB) -- 12.8.2 - Applications of high-resolution 3D printing in medicine and diagnostics -- 12.9 - Applications of 3D printing in regenerative medicine -- 12.9.1 - Skin -- 12.9.2 - Bone and cartilage -- 12.9.3 - Cardiac tissue -- 12.9.3.1 - 3D bioprinting cardiac patches -- 12.9.3.2 - 3D bioprinting cardiac valves -- 12.9.4 - Nervous system (PNS and CNS) -- 12.9.4.1 - In vitro models of the nervous system -- 12.9.4.2 - Scaffolds for nervous system tissue regeneration -- 12.9.5 - Renal tissue -- 12.9.5.1 - 3D bioprinting in vitro renal tissue models -- 12.9.5.2 - 3D bioprinting renal tissue for regeneration -- 12.9.6 - Liver -- 12.9.6.1 - 3D bioprinting in vitro liver tissue models -- 12.9.6.2 - 3D bioprinting liver tissue constructs for regeneration -- 12.9.7 - Future directions and challenges -- 12.9.7.1 - Biological issues -- 12.9.7.2 - Engineering issues -- 12.9.7.3 - Cost -- 12.9.7.4 - Regulatory issues -- References -- Untitled -- 13 - 3D printing future perspective in medicine -- Chapter outline -- 13.1 - 3D printing in drug discovery -- 13.2 - 3D printing in cancer treatment -- 13.3 - 3D future for tissue engineering -- References -- 14 - Regulation and safety -- Chapter outline -- 14.1 - Safety regulations -- 14.2 - Security concerns -- 14.3 - Legal classification of 3D printing -- 14.4 - FDA regulatory and statutory terms -- References -- 15 - Conclusions -- Index -- Back cover. EBL202101 XX SzGeCERN EBL Medical technology EBL Three-dimensional printing BOOK Singh, Deepti https://cds.cern.ch/auth.py?r=EBLIB_P_6304271 ebook n 202104 202101 21 PUBLIC https://catalogue.library.cern/legacy/2750908 BOOK MIGRATED 2750786 SzGeCERN 20210202231119.0 DOI American Association for the Advancement of Science 10.1126/sciadv.aay4945 oai:inspirehep.net:1834990 cerncds:CERN ForCDS http://old.inspirehep.net/oai2d 2021-02-02T05:00:08Z marcxml oai:inspirehep.net:1834990 2021-02-01T19:35:20Z Inspire 1834990 eng Yan, C ORCID:0000-0002-5735-9597 Helsinki U. Science Size-dependent influence of NO$_{x}$ on the growth rates of organic aerosol particles The Authors Publication 2020 CERN Nie, W ORCID:0000-0002-6048-0515 Nanjing U. Vogel, A L ORCID:0000-0002-1293-6370 CERN PSI, Villigen Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland. Dada, L ORCID:0000-0003-1105-9043 Helsinki U. Lehtipalo, K ORCID:0000-0002-1660-2706 Helsinki U. PSI, Villigen Finnish Meteorological Inst. Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland. Stolzenburg, D ORCID:0000-0003-1014-1360 Vienna U. Wagner, R ORCID:0000-0001-7365-8020 Helsinki U. Rissanen, M P ORCID:0000-0003-0463-8098 Helsinki U. Xiao, M PSI, Villigen Ahonen, L ORCID:0000-0002-2534-6898 Helsinki U. Fischer, L ORCID:0000-0002-3141-9088 Innsbruck U. Rose, C ORCID:0000-0002-4524-221X Helsinki U. Bianchi, F ORCID:0000-0003-2996-3604 Helsinki U. Beijing U. of Chem. Tech. Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China. Gordon, H ORCID:0000-0002-1822-3224 CERN Leeds U. University of Leeds, Leeds LS2 9JT, UK. Simon, M Frankfurt U. Heinritzi, M Frankfurt U. Garmash, O ORCID:0000-0002-9675-3271 Helsinki U. Roldin, P ORCID:0000-0002-4223-4708 Lund U. Dias, A ORCID:0000-0002-0842-4639 CERN Lisbon U. CENTRA and FCUL, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal. Ye, P ORCID:0000-0002-6954-4028 Carnegie Mellon U. Aerodyne Research, Billerica Aerodyne Research Inc., Billerica, MA 01821, USA. Hofbauer, V ORCID:0000-0001-9036-4446 Carnegie Mellon U. Amorim, A ORCID:0000-0003-0638-2321 Lisbon U. Bauer, P S ORCID:0000-0002-0014-3082 Vienna U. Bergen, A ORCID:0000-0003-1647-5513 Frankfurt U. Bernhammer, A K ORCID:0000-0002-0614-3649 Innsbruck U. Breitenlechner, M Innsbruck U. Brilke, S Vienna U. Frankfurt U. Goethe University Frankfurt, Institute for Atmospheric and Environmental Sciences, Altenhöferallee 1, 60438 Frankfurt am Main, Germany. Buchholz, A UEF, Kuopio Mazon, S Buenrostro ORCID:0000-0002-6788-7828 Helsinki U. Canagaratna, M R Aerodyne Research, Billerica Chen, X ORCID:0000-0002-7731-6842 Helsinki U. Ding, A ORCID:0000-0003-4481-5386 Nanjing U. Dommen, J ORCID:0000-0002-0006-0009 PSI, Villigen Draper, D C ORCID:0000-0002-2027-8822 UC, Irvine Duplissy, J ORCID:0000-0001-8819-0264 Helsinki U. Frege, C ORCID:0000-0001-7833-8771 PSI, Villigen Heyn, C PSI, Villigen Guida, R Hakala, J Helsinki U. Heikkinen, L ORCID:0000-0001-7837-967X Helsinki U. Hoyle, C R ORCID:0000-0002-1369-9143 PSI, Villigen Jokinen, T ORCID:0000-0002-1280-1396 Helsinki U. Kangasluoma, J ORCID:0000-0002-1639-1187 Helsinki U. Beijing U. of Chem. Tech. Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China. Kirkby, J ORCID:0000-0003-2341-9069 CERN Frankfurt U. Goethe University Frankfurt, Institute for Atmospheric and Environmental Sciences, Altenhöferallee 1, 60438 Frankfurt am Main, Germany. Kontkanen, J ORCID:0000-0002-5373-3537 Helsinki U. Kürten, A ORCID:0000-0002-8955-4450 Frankfurt U. Lawler, M J ORCID:0000-0003-0421-6629 UC, Irvine Mai, H Caltech Mathot, S CERN Mauldin, R L ORCID:0000-0002-8569-8561 Carnegie Mellon U. U. Colorado, Boulder Department of Chemistry and Biochemistry, University of Colorado, Boulder, CO 80309, USA. Molteni, U ORCID:0000-0002-1623-1933 PSI, Villigen Nichman, L ORCID:0000-0003-3923-1589 Manchester U. Nieminen, T ORCID:0000-0002-2713-715X Helsinki U. Nowak, J ORCID:0000-0002-5697-9807 Aerodyne Research, Billerica Ojdanic, A Vienna U. Onnela, A CERN Pajunoja, A UEF, Kuopio Petäjä, T ORCID:0000-0002-1881-9044 Helsinki U. Nanjing U. Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China. Piel, F ORCID:0000-0002-8191-8029 Frankfurt U. Quéléver, L L J Helsinki U. Sarnela, N ORCID:0000-0003-1874-3235 Helsinki U. Schallhart, S Helsinki U. Sengupta, K Leeds U. Sipilä, M Helsinki U. Tomé, A ORCID:0000-0001-9144-7120 UBI, Covilha Tröstl, J ORCID:0000-0002-2807-0348 PSI, Villigen Väisänen, O UEF, Kuopio Wagner, A C Frankfurt U. Ylisirniö, A UEF, Kuopio Zha, Q ORCID:0000-0001-6301-7086 Helsinki U. Baltensperger, U PSI, Villigen Carslaw, K S ORCID:0000-0002-6800-154X Leeds U. Curtius, J ORCID:0000-0003-3153-4630 Frankfurt U. Flagan, R C ORCID:0000-0001-5690-770X Caltech Hansel, A ORCID:0000-0002-1062-2394 Helsinki U. Innsbruck U. Unlisted, AT University of Innsbruck, Institute for Ion and Applied Physics, 6020 Innsbruck, Austria. Riipinen, I Stockholm U. Smith, J N Virtanen, A ORCID:0000-0002-2917-5344 UEF, Kuopio Winkler, P M Vienna U. Donahue, N M ORCID:0000-0003-3054-2364 Carnegie Mellon U. Kerminen, V M ORCID:0000-0002-0706-669X Helsinki U. Kulmala, M ORCID:0000-0003-3464-7825 Helsinki U. Nanjing U. Beijing U. of Chem. Tech. Helsinki Inst. of Phys. Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China. Helsinki Institute of Physics, FI-00014 Helsinki, Finland. Ehn, M ORCID:0000-0002-0215-4893 Helsinki U. Worsnop, D R ORCID:0000-0002-8928-8017 Helsinki U. Aerodyne Research, Billerica UEF, Kuopio Aerodyne Research Inc., Billerica, MA 01821, USA. eaay4945 22 2020 Sci. Adv. 6 13 ARTICLE 2020 Atmospheric new-particle formation (NPF) affects climate by contributing to a large fraction of the cloud condensation nuclei (CCN). Highly oxygenated organic molecules (HOMs) drive the early particle growth and therefore substantially influence the survival of newly formed particles to CCN. Nitrogen oxide (NO$_{x}$) is known to suppress the NPF driven by HOMs, but the underlying mechanism remains largely unclear. Here, we examine the response of particle growth to the changes of HOM formation caused by NO$_{x}$. We show that NO$_{x}$ suppresses particle growth in general, but the suppression is rather nonuniform and size dependent, which can be quantitatively explained by the shifted HOM volatility after adding NO$_{x}$. By illustrating how NO$_{x}$ affects the early growth of new particles, a critical step of CCN formation, our results help provide a refined assessment of the potential climatic effects caused by the diverse changes of NO$_{x}$ level in forest regions around the globe. CC BY-NC https://creativecommons.org/licenses/by-nc/4.0/ 2759597 SzGeCERN 20220614115433.0 http://old.inspirehep.net/oai2d oai:inspirehep.net:1847719 2021-03-30T16:36:15Z 2021-03-31T04:00:08Z marcxml eng 13 ARTICLE deleted 2759278 SzGeCERN 20210409162435.0 oai:inspirehep.net:1849129 cerncds:CERN ForCDS http://old.inspirehep.net/oai2d oai:inspirehep.net:1849129 2021-03-26T16:57:23Z 2021-03-27T05:00:06Z marcxml eng PACS PACS: 07.85.Nc PACS 24.10.Lx PACS 29.20Ba PACS 29.30.Ep PACS 29.40Mc PACS 29.40.Wk PACS 82.80.Ms PACS 92.60.Ry PACS 98.70.Sa Povinec, P P povinec@fmph.uniba.sk Comenius U. author Radionuclides author Depleted uranium author HPGe detectors author Liquid scintillation spectrometry author Low-level counting author Underground laboratory author Monte Carlo simulation author GEANT author In situ underwater gamma-spectrometry author Mass spectrometry author Secondary ionisation mass spectrometry author Inductively coupled plasma mass spectrometry author Thermal ionisation mass spectrometry author Resonance ionisation mass spectrometry author Accelerator mass spectrometry author Radioecology author Climate change CERN Betti, M European Inst., Transuran. Elem. Jull, A J T Arizona U. Vojtyla, P CERN 1-154 1 Acta Phys. Slovaca 58 2008 154 p Slovak Academy of Sciences As the levels of radionuclides observed at present in the environment are very low, high sensitive analytical systems are required for carrying out environmental investigations. We review recent progress which has been done in low-level counting techniques in both radiometrics and mass spectrometry sectors, with emphasis on underground laboratories, Monte Carlo (GEANT) simulation of background of HPGe detectors operating in various configurations, secondary ionisation mass spectrometry, and accelerator mass spectrometry. Applications of radiometrics and mass spectrometry techniques in radioecology and climate change studies are presented and discussed as well. The review should help readers in better orientation on recent developments in the field of low-level counting and spectrometry, and to advice on construction principles of underground laboratories, as well as on criteria how to choose low or high energy mass spectrometers for environmental investigations. 2008 13 ARTICLE New isotope technologies in environmental physics 2759171 SzGeCERN 20210326231911.0 DOI MDPI 10.3390/instruments5010006 oai:inspirehep.net:1847000 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS HAL hal-03150551 http://old.inspirehep.net/oai2d 2021-03-26T05:00:07Z marcxml oai:inspirehep.net:1847000 2021-03-25T14:36:13Z Inspire 1847000 eng Hallewell, Gregory gregh@cppm.in2p3.fr Marseille, CPPM MDPI Applications and Perspectives of Ultrasonic Multi-Gas Analysis with Simultaneous Flowmetry 2021 17 p MDPI We have developed ultrasonic instrumentation for simultaneous flow and composition measurement in a variety of gas mixtures. Flow and composition are respectively derived from measurements of the difference and average of sound transit times in opposite directions in a flowing process gas. We have developed a sound velocity-based algorithm to compensate for the effects of additional gases, allowing the concentrations of a pair of gases of primary interest to be acoustically measured on top of a varying baseline from ‘third party’ gases whose concentrations in the multi-gas mixture are measured by other means. Several instruments are used in the CERN ATLAS experiment. Three monitor C$_3$F$_8$, (R218), and CO$_2$ coolant leaks into N$_2$-purged environmental envelopes. Precision in molar concentration of better than $2 \times 5^{-5}$ is routinely seen in mixtures of C$_3$F$_8$ in N$_2$ in the presence of varying known concentrations of CO$_2$. Further instruments monitor air ingress and C$_3$F$_8$ vapor flow (at high mass flows around 1.1 kg s$^{-1}$) in the 60 kW thermosiphon C$_3$F$_8$ evaporative cooling recirculator. This instrumentation and analysis technique, targeting binary pairs of gases of interest in multi-gas mixtures, is promising for mixtures of anesthetic gases, particularly in the developing area of xenon anesthesia. CC-BY-4.0 MDPI http://creativecommons.org/licenses/by/4.0 The Authors 2021 SzGeCERN Detectors and Experimental Techniques author ultrasonic gas analysis author ultrasonic flowmetry author leak detection author xenon anesthesia CERN Dingley, John j.dingley@swan.ac.uk Swansea U. Doubek, Martin martin.doubek@cern.ch CERN Feuillassier, Robin robin.feuillassier@etu.univ-amu.f Aix-Marseille U. Katunin, Sergey sergey.katunin@cern.ch St. Petersburg, INP Nagai, Koichi koichi.nagai@cern.ch Oxford U. Robinson, David ORCID:0000-0001-6169-4868 dave.robinson@cern.ch Cambridge U. Rozanov, Alexandre rozanov@cppm.in2p3.f Marseille, CPPM Williams, David davidjwilliams@doctors.org.uk Swansea U. Vacek, Vaclav ORCID:0000-0001-9584-0392 vaclav.vacek@cern.ch Prague, Tech. U., Mech. Eng. 6 1 2021 Instruments 5 2284214 12732610 http://cds.cern.ch/record/2759171/files/10.3390_instruments5010006.pdf Fulltext 13 ARTICLE 2758380 SzGeCERN 20210423001320.0 IEC-60068-2-64 eng fre 19.040 International Electrotechnical Commission. Geneva Environmental testing part 2-64: Tests – Test Fh: Vibration, broadband random and guidance Essais d’environnement partie 2-64: Essais – Essai Fh: Vibrations aléatoires à large bande et guide 2nd ed. Geneva IEC 2019 178 p SzGeCERN Engineering STANDARD 2282984 3932204 http://cds.cern.ch/record/2758380/files/iec60068-2-64{ed2.1}b.pdf Fulltext h 202112 21 https://catalogue.library.cern/legacy/2758380 BOOK STANDARD MIGRATED 2758316 SzGeCERN 20210421184034.0 9789811600258 electronic version electronic version print version 9789811600241 print version 9789811600265 print version 9789811600272 DOI 10.1007/978-981-16-0025-8 ebook oai:cds.cern.ch:2758316 cerncds:BOOK eng QA276-280 519.5 23 Hanagal, David D Software reliability growth models Singapore Springer 2021 ebook Infosys Science Foundation series in mathematical sciences 2364-4036 1. Introduction to Software Reliability Models -- 2. Literature Survey in Software Reliability Growth Models -- 3. NHPP Software Reliability Growth Models -- 4. Inverse Weibull Software Reliability Growth Model -- 5. Generalized Inverse Weibull Software Reliability Growth Model -- 6. Extended Inverse Weibull Software Reliability Growth Model -- 7. Generalized Extended Inverse Weibull Software Reliability Growth Model -- 8. Delayed S-Shaped SRGM with Time Dependent Fault Content Rate Function -- 9. Scope for Future Extension to SRGM. This book presents the basic concepts of software reliability growth models (SRGMs), ranging from fundamental to advanced level. It discusses SRGM based on the non-homogeneous Poisson process (NHPP), which has been a quite successful tool in practical software reliability engineering. These models consider the debugging process as a counting process characterized by its mean value function. Model parameters have been estimated by using either the maximum likelihood method or regression. NHPP SRGMs based on inverse Weibull, generalized inverse Weibull, extended inverse Weibull, generalized extended inverse Weibull, and delayed S-shaped have been focused upon. Review of literature on SRGM has been included from the scratch to recent developments, applicable in artificial neural networks, machine learning, artificial intelligence, data-driven approaches, fault-detection, fault-correction processes, and also in random environmental conditions. This book is designed for practitioners and researchers at all levels of competency, and also targets groups who need information on software reliability engineering. Mathematics and statistics SPR202103 SzGeCERN Mathematical Physics and Mathematics BOOK Bhalerao, Nileema N SPR n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2758316 BOOK MIGRATED 2758311 SzGeCERN 20210421184034.0 9783030617950 electronic version electronic version print version 9783030617943 print version 9783030617967 print version 9783030617974 DOI 10.1007/978-3-030-61795-0 ebook oai:cds.cern.ch:2758311 cerncds:BOOK eng T57-57.97 519 23 Applied mathematics for environmental problems Cham Springer 2021 ebook SEMA SIMAI Springer series. ICIAM 2019 SEMA SIMAI Springer series 2662-7183 6 Asensio, M.I. et al., PhyFire: an online GIS-integrated wildfire spread simulation tool based on a semiphysical model -- Egorova, V.N. et al., Physical parametrisation of fire-spotting for operational wildfire simulators -- Suárez Molina, D. and Suárez González, J.C., Wind shear forecast in GCLP and GCTS airports -- Costa-Solé, A. et al., One-phase and two-phase flow simulation using high-order HDG and high-order diagonally implicit time integration schemes. This book contains some contributions presented at the Applied Mathematics for Environmental Problems minisymposium during the International Congress on Industrial and Applied Mathematics (ICIAM) held July 15-19, 2019 in Valencia, Spain. The first paper addresses a simplified physical wildfire spread model, based on partial differential equations solved with finite element methods and integrated into a GIS to provide a useful and efficient tool. The second paper focuses on one of the causes of the unpredictable behavior of wildfire, fire-spotting, through a statistical approach. The third paper addresses low -level wind shear which represents one of the most relevant hazards during aircraft takeoff and landing. It presents an experimental wind shear alert system that is based on predicting wind velocities obtained from the Harmonie-Arome model. The last paper addresses the environmental impact of oil reservoirs. It presents high-order hybridizable discontinuous Galerkin formulation combined with high-order diagonally implicit Runge-Kutta schemes to solve one-phase and two-phase flow problems through porous media. All the contributions collected in this volume are interesting examples of how mathematics and numerical modelling are effective tools in the field of environmental problems. Mathematics and statistics SPR202103 SzGeCERN Mathematical Physics and Mathematics SPR Applied mathematics SPR Engineering mathematics SPR Environmental monitoring SPR Mathematical analysis SPR Analysis (Mathematics) SPR Science SPR Applications of Mathematics SPR MonitoringEnvironmental Analysis SPR Analysis SPR Science, multidisciplinary BOOK Asensio, María ed. Oliver, Albert ed. Sarrate, José ed. SPR n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2758311 BOOK MIGRATED 2758285 SzGeCERN 20210421184035.0 9783030618759 electronic version electronic version print version 9783030618742 print version 9783030618766 print version 9783030618773 DOI 10.1007/978-3-030-61875-9 ebook oai:cds.cern.ch:2758285 cerncds:BOOK eng QA299.6-433 515 23 Recent advances in differential equations and control theory Cham Springer 2021 ebook SEMA SIMAI Springer series. ICIAM 2019 SEMA SIMAI Springer series 2662-7183 9 Numerical Simulation: J. Alonso, J. et al., The upwelling of the Colombian Caribbean Coasts: remote sensing, morphology and influence on the Lake Maracaibo -- J. Coronil, D. et al., Is it possible the use of discontinuous shapes in hydrodynamics? -- Control Theory: García-Gutiérrez, J.J et al., Stabilization of third order switched linear systems via invariant set -- Pérez, C. et al., Control of second-order switched systems with application to DC-DC converters -- Differential Equations: Mendoza, J. et al., Symbolic computation algorithms for second-order ODEs by using two λ-symmetries -- Ruiz, A. and Muriel, C., Systems of vector fields for the integration of ordinary differential equations. This book collects the latest results and new trends in the application of mathematics to some problems in control theory, numerical simulation and differential equations. The work comprises the main results presented at a thematic minisymposium, part of the 9th International Congress on Industrial and Applied Mathematics (ICIAM 2019), held in Valencia, Spain, from 15 to 18 July 2019. The topics covered in the 6 peer-review contributions involve applications of numerical methods to real problems in oceanography and naval engineering, as well as relevant results on switching control techniques, which can have multiple applications in industrial complexes, electromechanical machines, biological systems, etc. Problems in control theory, as in most engineering problems, are modeled by differential equations, for which standard solving procedures may be insufficient. The book also includes recent geometric and analytical methods for the search of exact solutions for differential equations, which serve as essential tools for analyzing problems in many scientific disciplines. Mathematics and statistics SPR202103 SzGeCERN Mathematical Physics and Mathematics SPR Environmental sciences SPR Fluid mechanics SPR Environmental Physics SPR Engineering Fluid Dynamics BOOK Muriel, Concepción ed. Pérez-Martinez, Carmen ed. SPR n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2758285 BOOK MIGRATED 2758282 SzGeCERN 20210421184035.0 9783030649739 electronic version electronic version print version 9783030649722 print version 9783030649746 print version 9783030649753 DOI 10.1007/978-3-030-64973-9 ebook oai:cds.cern.ch:2758282 cerncds:BOOK eng QA402-402.37 T57.6-57.97 519.6 23 Dynamics of disasters impact, risk, resilience, and solutions Cham Springer 2021 ebook Springer optimization and its applications 1931-6828 169 Preface -- DEA for the Assessment of Regions Ability to Cope with Disasters (F. Aleskerov, S. Demin) -- Perishable Food Supply Chain Networks with Labor in the Covid-19 Pandemic (A. Nagurney) -- Capacitated Human Migration Networks and Subsidization (A. Nagurney, P. Daniele, G. Cappello) -- Drone Routing for Post-disaster Damage Assessment (B. Adsanver, E. Coban, B. Balcik) -- A simulation model for the Analysis of the consequences of extreme weather conditions to the traffic status of the city of Thessaloniki, Greece (G. Tsaples, J.M.S. Grau, G. Aifadopoulou, P. Tzenos) -- The Crisis Classification component to strengthen the early warning, risk assessment and decision support in extreme climate events -- (G. Antzoulatos, A. Karakostas, S. Vrochidis, I. Kompatsiaris) -- Toward Decentralized Decision Making for Interdependent Infrastructure Network Resilience (B. Cilalia, N. Ghorbani-Renania, K. Barkera, A.D. Gonzáleza) -- Natural disasters and their impact on business units: The Greek case (J.A. Mpekiaris, G.D. Tsiotras) -- Land Property Data Logging on Blockchain Ledger (S. Papangelou, Z.A. Charalampidis) -- A General Framework and Control Theoretic Approach for Adaptive Interactive Learning Environments (A. Streicher, R. Schonbein, S.W. Pickl) -- Disaster Preparedness at the Municipality Level: A Scenario-Based Multi-stage Measurement Methodology (M. Ghazanfari, M. Hakimifar, T. Wakolbinger, F. Toyasaki) -- Wavelets in multiscale time series analysis: an application to seismic data? (S. Corsaro, P. L. De Angelis, U. Fiore, Z. Marino, F. Perla, M. Pietroluongo) -- Effectiveness of investments in prevention of geological disasters? (U. Fiore, Z. Marino, F. Perla, M. Pietroluongo, S. Scognamiglio, P. Zanetti) -- Universal Maximum Flow with Intermediate Storage for Evacuation Planning (U. Pyakurel, S. Dempe) -- Development of Flood Disaster Prevention Simulation Smartphone Application Using Gamification (Y. Matsuno, F. Fukanuma, S. Tsuruoka) -- Cyber Crises and Disaster Preparation in Austria: A Survey of Research Projects (B. Garn, K. Kieseberg, D. Schreiber, D.E. Simos). Based on the “Fourth International Conference on Dynamics of Disasters” (Kalamata, Greece, July 2019), this volume includes contributions from experts who share their latest discoveries on natural and unnatural disasters. Authors provide overviews of the tactical points involved in disaster relief, outlines of hurdles from mitigation and preparedness to response and recovery, and uses for mathematical models to describe natural and man-made disasters. Topics covered include economics, optimization, machine learning, government, management, business, humanities, engineering, medicine, mathematics, computer science, behavioral studies, emergency services, and environmental studies will engage readers from a wide variety of fields and backgrounds. Mathematics and statistics SPR202103 SzGeCERN Mathematical Physics and Mathematics SPR Management science SPR Game theory SPR Operations Research, Management Science SPR Game Theory BOOK Kotsireas, Ilias ed. Nagurney, Anna ed. Pardalos, Panos ed. Tsokas, Arsenios ed. SPR n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2758282 BOOK MIGRATED 2758202 SzGeCERN 20210421184036.0 9781119605751 electronic version electronic version 9781119605591 print version oai:cds.cern.ch:2758202 cerncds:BOOK EBL 6356011 eng TK8322 .I536 2020 621.31244 Müller, Monika Freunek Indoor photovoltaics materials, modeling, and applications Newark, NJ John Wiley & Sons 2020 293 p ebook Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Will Photovoltaics Stay Out of the Shadows? -- 1.1 Introduction -- References -- Chapter 2 Introduction to Micro Energy Harvesting -- 2.1 Introduction and History -- 2.1.1 Brief History of Electric Generators and Loads -- 2.1.2 Forms of Energies and Energy Converters -- 2.2 Kinetic Energy -- 2.2.1 Oscillating Solid Objects -- 2.2.1.1 Human Motion -- 2.2.1.2 Vibrations -- 2.2.1.3 Flow of Gas and Fluids -- 2.2.1.4 Acoustic Vibrations -- 2.2.1.5 Elastic Energy -- 2.3 Thermoelectric Conversion -- 2.4 Electrochemical Potential -- 2.5 Electromagnetic Transmission -- 2.6 Atomic Batteries -- 2.7 Challenges -- 2.8 Conclusions and Outlook -- Acknowledgment -- References -- Chapter 3 Introduction to Indoor Photovoltaics -- 3.1 Introduction -- 3.2 Indoor Spectra and Efficiencies -- 3.3 State of IPV Design, Issues, Approaches -- 3.4 Fields of Application -- 3.4.1 Customer and Office Applications -- 3.4.2 Ambient Assisted Living and Building Automatization -- 3.4.3 Industry, Agriculture, Horticulture, Retail, and Logistics -- 3.4.4 Relation of IPV to Outdoor Applications - Hiking, Emergency Kits -- 3.5 Degradation and Lifetime Issues -- 3.6 Conclusions and Outlook -- References -- Chapter 4 Modeling Indoor Irradiance -- 4.1 Introduction -- 4.2 Fundamentals -- 4.2.1 Photometry and Its Impact on IPV -- 4.2.2 Comparison Measurements of Different Luxmeter Products and Settings -- 4.2.3 Conclusions for Indoor Irradiance Measurements -- 4.2.4 Available Data on Indoor Irradiance -- 4.3 Radiometric Solutions -- 4.3.1 Structure -- 4.3.2 Settings of the Studied Rooms -- 4.3.3 Investigated Installation Points -- 4.4 Analytical Model -- 4.4.1 Solar Radiation -- 4.4.2 Artifical Lighting -- 4.4.3 Interaction with Objects -- 4.4.4 Indirect Contributions of Solar Radiation. 4.4.5 Final Results and Limits of Analytical Models -- 4.5 Simulations -- 4.5.1 Ray Tracing: Fundamental Principles -- 4.5.2 Radiance -- 4.5.3 DAYSIM -- 4.5.4 Calculation Methods and Parameters -- 4.5.5 Daylight Coefficient in -- 4.5.6 Environmental Parameters -- 4.5.7 Model Parameters -- 4.5.8 Results -- 4.5.9 Summary and Conclusion -- 4.6 Measurements -- 4.6.1 Available Measurement Methods -- 4.6.2 Long-Term Measurements Reference Year -- 4.6.3 Validating Simulation -- 4.6.4 Comparison Measurement Methods under Controlled Conditions -- 4.7 Discussion and Recommendation -- 4.8 Conclusion and Outlook -- 4.8.1 Autarky Factors -- 4.9 Acknowledgements -- 4.10 Symbols and Abbreviations -- 4.11 Constants -- 4.12 Abbreviations -- Appendix -- A.1 Luxmeter Accuracy -- A.2 Geometry and Materials in Radiance -- A.3 Transmissivity Coefficient -- References -- Chapter 5 Characterization and Power Measurement of IPV Cells -- 5.1 Features of IPV Compared to Outdoor PV -- 5.1.1 Irradiance -- 5.1.2 Spectrum -- 5.1.2.1 Consequences of the Different Spectra Regarding Efficiency -- 5.1.3 Incident Angle Distribution -- 5.1.4 Modulated Light Sources -- 5.1.5 Further Effects -- 5.1.6 Standardization -- 5.2 Calibration Chain and Quality Management -- 5.2.1 Basic Laboratory Measurement Methods for the Secondary Calibration of IPV Cells -- 5.3 Flexible and Precise Method for Comprehensive and Primary Calibration of IPV Devices -- 5.3.1 Lamp-Based Facility -- 5.3.2 Laser-Based Facility -- 5.4 DSR Calibration of IPV Cells -- 5.4.1 Self-Referenced IV Characteristic -- Acknowledgment -- References -- Chapter 6 Luminescent Solar Concentrators -- 6.1 Introduction -- 6.2 A Crash Course in Luminescence -- 6.2.1 Luminescence in Organic Dyes -- 6.2.2 Luminescence in Rare Earth Ions -- 6.2.3 Luminescence in Quantum Dots -- 6.2.4 Hybrid Combinations -- 6.3 Principle of Operation. 6.3.1 Absorption of Light -- 6.3.2 Emission within the LSC -- 6.3.3 Effects of Self-Absorption -- 6.3.4 Influence of the Waveguide -- 6.3.5 Conversion of Concentrated Light to Electricity -- 6.4 Calculating LSC Performance -- 6.4.1 Figures of Merit -- 6.4.2 Upper Bound for LSC Efficiency -- 6.4.3 Analytical Approach for Simple Geometries -- 6.4.4 Semi-Analytical Optimization Calculations for Arbitrary Geometries -- 6.4.5 Monte Carlo Simulations for Ray-Traced Complex Geometries -- 6.4.6 Considerations for Thin-Film LSCs -- 6.5 State-of-the-Art LSC Materials -- 6.5.1 Measures for the Visual Performance of LSC Materials -- 6.5.2 Evaluating the Performance of State-of-the-Art LSCs -- 6.5.3 Dye-Based Luminescent Solar Concentrators -- 6.5.4 Rare Earth-Based Luminescent Solar Concentrators -- 6.5.5 Quantum Dot and Doped Quantum Dot-Based Luminescent Solar Concentrators -- 6.6 Tm2+-Doped Halide Luminescent Solar Concentrators -- 6.7 LSC for an IPV Perspective -- 6.7.1 Performance Assessment -- 6.7.2 Application Examples -- 6.8 Conclusion -- Acknowledgements -- References -- Chapter 7 Organic Photovoltaic Cells and Modules for Applications under Indoor Lighting Conditions -- 7.1 Introduction -- 7.2 Implications of Indoor Lighting -- 7.3 OPV Modules -- 7.4 OPV Devices and Applications -- 7.5 Acceptance and Safety Considerations -- References -- Chapter 8 High-Efficiency Indoor Photovoltaic Energy Harvesting -- 8.1 Introduction -- 8.2 Approaches for Efficient Indoor PV Energy Harvesting -- 8.2.1 PV Energy Harvesting Technologies -- 8.2.2 Commercial PV Energy Harvesting Devices -- 8.2.3 Recent Research Results for PV Energy Harvesting Devices -- 8.3 Lightricity's PV Energy Harvesting Technology -- 8.3.1 Introduction -- 8.3.2 Energy Harvester Device Fabrication and Device Characteristics -- 8.4 High-Efficiency PV Energy Harvesting Power Supplies. 8.4.1 Introduction -- 8.4.2 Energy Harvesting Power Management Solutions -- 8.4.3 System Integration and Performance Testing -- 8.5 Applications of Light Indoor Energy Harvesting -- 8.5.1 Watches and Wearable Devices -- 8.5.2 Wireless Building Automation Sensors -- 8.5.3 Wireless Beacons -- 8.6 Summary and Concluding Remarks -- Acknowledgments -- References -- Chapter 9 Indoor Photovoltaics Based on AlGaAs -- 9.1 Importance of AlGaAs for Indoor Photovoltaics -- 9.2 Design Consideration for AlGaAs III-V Photovoltaic Cells -- 9.2.1 Base/Absorber -- 9.2.2 Contact -- 9.2.3 Window -- 9.2.4 Emitter -- 9.2.5 Back Surface Field -- 9.3 Large-Area AlGaAs III-V Photovoltaics -- 9.4 Small-Area AlGaAs Photovoltaics -- 9.4.1 Model of J-V Characteristics -- 9.4.2 Performance of mm-Scale AlGaAs Photovoltaics -- 9.4.3 Dark Current Limitations -- 9.5 Monolithic GaAs PV Cell Arrays -- 9.6 Conclusion -- References -- Index -- Also Edited by Monika Freunek Müller -- EULA. EBL202103 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6356011 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2758202 BOOK MIGRATED 2758112 SzGeCERN 20210421184040.0 9780128231920 electronic version electronic version 9780128210567 print version oai:cds.cern.ch:2758112 cerncds:BOOK EBL 6351908 eng SH331 .E363 2021 539.7 Einarsson, Ágúst Fisheries and aquaculture the food security of the future San Diego, CA Elsevier Science & Technology 2020 376 p ebook Intro -- Fisheries and Aquaculture: The Food Security of the Future -- Copyright -- Dedication -- Contents -- List of figures and tables -- List of figures -- List of tables -- Foreword -- Preface -- Chapter 1: Introduction -- 1.1. The dawn of human communities and the origins of fisheries -- 1.2. The role of fish and the sea in religion and lore -- 1.3. The oceans and marine taxonomy -- 1.4. Fisheries in a historical context -- 1.5. Fisheries and aquaculture in modern times -- Chapter 2: Fishing and fish farming -- 2.1. Fishing, the principal fishing countries and harvested species -- 2.2. Fish farming and principal fish farming countries -- 2.3. Consumption of fish -- 2.4. Importance of fisheries and aquaculture for countries and island states -- Chapter 3: Market forces and tools to analyse fisheries and aquaculture -- 3.1. Companies and individuals -- 3.2. Demand and utility -- 3.3. Supply -- 3.4. Cost -- 3.5. Supply and demand in equilibrium -- Chapter 4: Environmental issues -- 4.1. Climate change and changing ecosystems -- 4.2. The United Nations Sustainable Development Goals and their impact on fisheries and aquaculture -- 4.3. Effect of climate change on fisheries and aquaculture -- 4.4. Plastic pollution in the oceans -- 4.5. Antarctica and the Arctic -- Chapter 5: Fisheries management -- 5.1. Common resources -- 5.2. Overfishing and its consequences -- 5.3. Basics of fisheries economics -- 5.4. Different management systems and fishing licence fees -- 5.5. Fisheries management around the world -- Chapter 6: China, the leading fishing and fish farming country of the world -- 6.1. Principal events in the context of history -- 6.2. Development of fisheries and aquaculture -- 6.3. Public management and international trade -- 6.4. Chinas future in fisheries and aquaculture -- Chapter 7: Developing countries. 7.1. Developing countries in fisheries and aquaculture -- 7.2. Fishing by foreigners in the waters of developing countries -- 7.3. Development aid, gender gap, and corruption -- 7.4. Food security of the developing countries -- Chapter 8: Processing and related industries -- 8.1. Handling of catches and quality control -- 8.2. Business environment and value chain -- 8.3. Cluster collaboration and productivity -- 8.4. Innovation and technological advances -- Chapter 9: Sales and marketing -- 9.1. The development of trade -- 9.2. The market clearing forces of price and quantity -- 9.3. Market models of producer and consumer interaction -- 9.4. Other aspects of marketing -- 9.5. Exports and imports of fishery commodities -- 9.6. Dynamics of trade and increased interdependence -- Chapter 10: Finances -- 10.1. Basic financial principles of fisheries and aquaculture -- 10.2. Financial analysis -- 10.3. Competitive advantage and investments in technology and innovation -- 10.4. State support in fisheries and aquaculture -- Chapter 11: Globalisation -- 11.1. Globalisation in fisheries and aquaculture -- 11.2. Market entry strategies and motives -- 11.3. Nonequity mode -- 11.4. Equity modes -- 11.5. Largest companies in fisheries and aquaculture in the world -- Chapter 12: Management -- 12.1. Size, organisation, and management of enterprises -- 12.2. Strategy and SWOT analysis -- 12.3. Porters five forces model -- 12.4. Knowledge management -- Chapter 13: Legal framework, research, and some peripheral issues -- 13.1. Governments and legislation that applies to fisheries and aquaculture -- 13.2. Education, research, and artistic creation -- 13.3. Whaling -- 13.4. Angling and recreational fishing -- 13.5. Demand and supply of fish in the future and food security -- Chapter 14: Summary -- Index of names -- Index of terms -- References. EBL202103 XX SzGeCERN BOOK Óladóttir, Ásta Dís https://cds.cern.ch/auth.py?r=EBLIB_P_6351908 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2758112 BOOK MIGRATED 2758068 SzGeCERN 20210421184041.0 9783540894308 electronic version electronic version 9783540894292 print version oai:cds.cern.ch:2758068 cerncds:BOOK EBL 6351751 eng QA76.9.C65 .C35 2008 006.3 Cai, Yang Digital human modeling trends in human algorithms Berlin Springer 2008 214 p ebook Lecture notes in computer science 4650 Intro -- Title Page -- Preface -- Organization -- Table of Contents -- Part I: Human Dynamics -- Implantable Computing -- Introduction -- In vivo Studies -- Human Application -- Brain within a Brain -- General Implant Studies -- Human Enhancement -- On Stimulation -- Extra Sensory Experiment -- Conclusions -- References -- Brainwave-Based Imagery Analysis -- Introduction -- Background -- Electroencephalography (EEG) Technology -- Eye Tracking Technology -- The RAPID System -- RAPID System Design -- RAPID System Output -- Identification of Potential Biases That May Be Mitigated Using RAPID -- Conclusions -- References -- Visual Digest Networks -- Introduction -- Attentive Video Network -- Human Visual Information Processing Bandwidth -- Video Network Bandwidth Control -- Attentive Video Network with Multi-resolution -- Network Dynamics -- Object Video Network -- Quality of Service-Aware Encoding -- Augmented Mobile Video -- Ariel Surveillance of Vehicles -- Image-Word Search Network -- Descriptions for Humans -- Multiple Resolution Descriptions^1 -- Symbol-Number Descriptions -- Analogical Descriptions -- The Verbal Description Database for Human Features -- Interactive Facial Reconstruction -- Conclusions -- References -- Part II: Virtual Humans -- Biomedical Modeling in Tele-Immersion -- Introduction -- SystemDesign -- Augmented Reality Immersive System -- Biomedical Modeling Software -- Haptics Rendering Algorithm -- Sculpting Tools with Haptics -- Direct Volume Rendering -- Implementation -- Tele-Immersion -- Physician's Personal VR Display -- Configurable Wall -- Collaboration -- Results -- Case Studies -- Implant Fabrication and Testing -- Discussion -- Conclusion -- References -- Virtual Fit Study of Pediatric Heart Assist System -- Introduction -- Configurations Mechanical Circulatory Devices. Current Practices for Evaluating Anatomic Compatibility -- Anatomic Considerations for the PediaFlow VAD -- Methods -- Patient Selection -- Three-Dimensional Reconstructions -- Anatomic Measurements and Virtual Fit Study -- Physical Models -- CFD Analysis -- Summary of Results -- Discussion -- References -- Virtual Clinical Therapy -- Introduction -- Virtual Reality in Clinical Psychology -- From Presence to Transformation of Flow -- The Layers of Presence -- The Feeling of Presence: From Breakdowns to Flow -- Transformation of Flow in Clinical Psychology -- VR in Clinical Psychology: From Theory to Practice -- The NeuroVR Editor -- The NeuroVR Player -- Conclusions -- References -- Virtual Human Problem-Solving Environments -- Introduction -- Background -- Virtual Human Problem-Solving Environment -- Java Client/Server Architecture -- Model-View-Controller (MVC) Design -- Alternative Approach Using CORBA -- Anatomical Modeling -- NURBS Phantom for the VHPSE -- Physiological Modeling -- PhysioML: An XML for Virtual Human -- Information Management for the Virtual Human -- Virtual Human Database (VHDB) -- Data Modeling -- Database Design and Construction -- Applications -- Cardiovascular Function -- Lung Sounds and Airway Flow -- Exposure to Environmental and Occupational Contaminants -- Modeling Pulmonary Edema -- Virtual Soldier Project -- Virtual Soldier Holomer Concept -- Ontologies for the VSPSE -- Components of the VSPSE -- Lessons Learned -- Summary -- References -- Biomechanical Modeling from In-Vivo Data -- Introduction -- Fundamental Steps of the Modeling Process -- Classification of Mechanical Models of Knee Joint -- Knee Models Review -- Kinematical Knee Models -- Static and Quasi-Static Knee Models -- Dynamic Knee Models -- Case Study: Subject-Specific Cruciate Ligaments Model for Living Activities -- Introduction -- Material and Methods. Results -- Discussion -- Conclusions -- References -- Part III: Human Forms -- Natural Form Modeling -- Introduction -- Natural Form Modeling - Antiquities and Fossils -- Mummy Mask -- Dinosaur Fossil -- Amphibian Fossil -- Natural Form Modeling - Human Skeleton -- Structural Properties -- Stress Analysis -- Remodeling Simulation -- Reconstruction Prosthesis Design -- Conclusion -- References -- Augmented Privacy with Virtual Humans -- Introduction -- Formulation of the Scientific Problem -- Physically Augmented Virtual Human Model -- Robust and Fast Algorithms for Detecting Human Features -- Analogia Graph -- Template Matching -- Coordinate Invariant Measurements -- Algorithm for Detecting Anomalous Objects on Skin -- Intensity-Based Detection -- Surface Based Detection -- Privacy-Aware Rendering -- Assessing Privacy Concerns -- Conclusions -- References -- 3D Facial Recognition with Soft Computing -- Introduction -- Face Normalization -- Surface Curvatures -- Eigenface -- Computing Eigenfaces [14] -- Identification -- Cascade Architectures of Fuzzy Neural Networks (CAFNNs) -- The Logic Processor (LP) -- A Cascade Fuzzy Neural Network (LP) -- Development of the Cascade Type Network -- Experimental Results -- Conclusions -- References -- Author Index. This book explores the state of the art of digital human modeling, specifically emergent human algorithms, which aim to model human forms, interactions, and dynamics. It features innovative ideas on human dynamics, virtual humans and human forms. EBL202103 XX SzGeCERN EBL Digital computer simulation EBL Human-machine systems BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6351751 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2758068 BOOK MIGRATED 2758061 SzGeCERN 20210421184042.0 9783540710806 electronic version electronic version 9783540710790 print version oai:cds.cern.ch:2758061 cerncds:BOOK EBL 6351720 eng T385 .V578 2008 006.6869 Böhlen, Michael H Visual data mining theory, techniques and tools for visual analytics Berlin Springer 2008 417 p ebook Lecture notes in computer science 4404 Intro -- Title Page -- Foreword -- Preface -- Table of Contents -- Visual Data Mining: An Introduction and Overview -- Introduction -- The Term -- The Process -- The Book -- Conclusions and Acknowledgements -- References -- The 3DVDM Approach: A Case Study with Clickstream Data -- Introduction -- Clickstreams -- Web Server Log Files -- Modeling Clickstreams in a DataWarehouse -- Analyzing Clickstreams -- The 3DVDM System -- Overall Architecture -- Streaming Visible Data -- Model Computation -- Data Analyzes and Interpretation -- Animation -- Conditional Density Surfaces -- Equalization of Structures -- Windowing -- Summary and Future Work -- References -- Form-Semantics-Function - A Framework for Designing Visual Data Representations for Visual Data Mining -- Introduction -- Form-Semantics-Function: A Formal Approach Towards Constructing and Evaluating Visualisation Techniques -- Metaphor Analysis -- Metaphor Formalisation -- Metaphor Evaluation -- Constructing Visualisation Schema for Visual Data Mining for Identifying Patterns in Team Collaboration -- Metaphor Analysis -- Metaphor Formalisation -- Evaluation and Comparison of Two Visualisation Schemata -- Metaphor Evaluation -- Conclusion and Future Directions -- References -- A Methodology for Exploring Association Models -- Introduction -- Association Rules -- The Association Rule Space -- PEAR: A Web-Based AR Browser -- Chunking Large Sets of Rules -- Global Metrics for Sets of Rules -- The Index Page -- Operators for Sets of Association Rules -- Example of the Application of the Proposed Methodology -- Implementation -- Scalable Vector Graphics -- Representing Associations Rules with PMML -- Performance -- Related Work -- Future Work and Conclusions -- References -- Visual Exploration of Frequent Itemsets and Association Rules -- Introduction -- BasicConcepts. Itemset Lattice and Closure Properties -- Parallel Coordinates -- Dealing with Item Taxonomy -- Experiments and Screen Snapshots -- Visualization of Iceberg Data Cubes -- Related Work -- Conclusion and Future Work -- References -- Visual Analytics: Scope and Challenges -- Introduction -- Scope of Visual Analytics -- Visual Analytics Process -- Application Challenges -- Physics and Astronomy -- Business -- Environmental Monitoring -- Disaster and Emergency Management -- Security -- Software Analytics -- Biology, Medicine and Health -- Engineering Analytics -- Personal Information Management -- Mobile Graphics and Traffic -- Technical Challenges -- Conclusion -- References -- Using Nested Surfaces for Visual Detection of Structures in Databases -- Introduction -- Motivation -- Preliminaries -- Probability Density Function -- Clusters and Outliers -- Surface Definition -- Algorithms -- Evaluation -- Quality of the Surfaces -- Space and Time Complexities -- Experiments -- Summary and Future Work -- References -- Visual Mining of Association Rules -- Introduction -- Some Issues about Association Rules -- A Real Data Set Application -- Visualizing Association Rules -- Rule Table -- Two-Dimensional Matrix -- 3-D Visualization -- Association Rules Networks -- The TwoKey Plot -- Double-Decker Plot -- Parallel Coordinates -- Factorial Planes -- Concluding Remarks -- References -- Interactive Decision Tree Construction for Interval and Taxonomical Data -- Introduction -- Interactive Decision Tree Construction -- Interval Data -- Ordering Interval Data -- Graphical Representation of Interval Data -- Classifying Interval Data with PBC -- Classifying Interval Data with CIAD -- Interval SVM Algorithm -- Taxonomical Data -- Graphical Representation of a Taxonomical Variable -- Interactive Taxonomical Data Classification -- Some Results -- Conclusion and Future Work. References -- Visual Methods for Examining SVM Classifiers -- Introduction -- Methods -- Support Vector Machines -- Tours Methods for Visualization -- SVM and Tours -- Application -- Data Description -- Visualizing SVM Outputs -- Gene Selection -- Varying SVM Input Parameters -- Model Stability -- Summary and Discussion -- Summary -- Discussion -- References -- Text Visualization for Visual Text Analytics -- Introduction -- Overview of Visual Text Analytics Technology -- Functional Components of Visual Text Analytics Systems -- Tokenization -- Vector Representation -- Dimensionality Reduction -- Spatialization -- Labeling -- Interactive Exploration -- Summary -- Example Systems -- Sammon -- Lin -- Bead -- IN-SPIRE -- WEBSOM -- Starlight -- References -- Visual Discovery of Network Patterns of Interaction between Attributes -- Introduction -- Modeling Perspectives in Analytics -- Network Models in Analytics -- The "Loss of Detail" Problem in Data Mining -- The "Independency of Attributes" Assumption in Data Mining -- Visual Discovery of Network Patterns of Interaction between Attributes -- The Approach and the Processes -- Case Studies -- Case A: Fraud Detection in Insurance Industry -- Case B: Visual Discovery in Internet Traffic Analysis -- Conclusion -- References -- Mining Patterns for Visual Interpretation in a Multiple-Views Environment -- Introduction -- Related Work -- Multiple-Views within the Visualization Tree -- Visualization Pipeline -- Visualization Composition -- The System -- Features of the VisTree Methodology -- Exploration Techniques -- Frequency Plot -- Relevance Plot -- Representative Plot -- Experiments -- Conclusions -- References -- Using 2D Hierarchical Heavy Hitters to Investigate Binary Relationships -- Introduction -- Related Work -- Two-Dimensional Hierarchical Heavy Hitters -- Filtering -- Grouping 1D Hierarchical Data. Grouping 2D Hierarchical Data -- Computation of Counts in a Lattice -- VHHH: Visualization of Hierarchical Heavy Hitters -- Visualization of the Lattice and HHH Information -- Ordering of Categorical Data -- Experiments -- Case Studies with Real World Data -- VHHH Alphabet -- Pattern Investigation of VHHH -- HHH Ordering Versus Dataset Ordering -- Conclusions and Future Work -- References -- Complementing Visual Data Mining with the Sound Dimension: Sonification of Time Dependent Data -- Introduction -- Characteristics of Sound for Time Dependent Data Representation -- Sonification -- Detection of Outliers -- Beat Drums Mapping -- Stereo Panning -- 3D Curve -- Experimental Workbench for Data Sonification and Mining -- Design of the Experiment and Methodology of Data Collection -- Results of the Experiments -- The Sample of Participants -- Results in 2D -- Results in 3D -- Discussion -- Conclusions -- References -- Context Visualization for Visual Data Mining -- Introduction -- Formal Model of Interactive Visualization for Visual Data Mining -- Interactive Navigation in Information Visualization -- Visual Exploration in Visual Data Mining -- The Concept of Visual Exploration with a Chain of Context Views -- Context Visualization with a Chain of Context Views -- History Visualization for Visual Data Mining -- Conclusion -- References -- Assisting Human Cognition in Visual Data Mining -- Introduction -- Visual Bias in Visual Data Mining -- Addressing the Visual Bias in Visual Data Mining -- The Method of Guided Cognition, Implemented through Embedded Statistical Techniques -- The Method of Validated Cognition, Implemented through a Combination of Visual Data Mining Techniques -- Visual Analysis -- Validation -- Summary and Future Directions -- References -- Immersive Visual Data Mining: The 3DVDM Approach -- Introduction -- Virtual Reality. Immersive Visual Data Mining -- Exploiting Sound -- Previous Work -- Visual Data Exploration -- Auditory Data Exploration -- Immersive vs. Traditional VDM -- The3DVDMSystem -- VR++ and 3DVDM -- Data Pipeline and Interaction -- Principles of Data Visualization in 3DVDM -- Rendering Sound -- BasicTools -- Visual Data Exploration -- Auditory Data Exploration -- Methodology for Visual Data Exploration in 3D Worlds -- Data Preparation -- Basic Statistical Analysis -- Visual Exploration of Static Worlds -- 3D Scatter Plot Tour -- 3D Scatter Plots and Object Properties -- Visual Exploration of Dynamic Worlds -- Macro Dynamic Visualization -- Micro Dynamic Visualization -- Auditory Exploration of Static Worlds -- Sound Supporting Color -- Sound "On Its Own" - Categorical Variables -- Sound "On Its Own" - Continuous Variables -- Discussion -- Visual Data Exploration -- Auditory Data Exploration -- Conclusions -- References -- DataJewel: Integrating Visualization with Temporal Data Mining -- Introduction -- Related Work -- User-Centric Data Mining -- The Visualization Component -- CalendarView -- Interaction with CalendarView -- The Temporal Mining Component -- The Database Component -- Experiments -- Mining Airplane Maintenance Datasets -- The DataJewel System -- Discussion -- Conclusions -- References -- A Visual Data Mining Environment -- Introduction -- Related Work -- System Architecture and Implementation -- System Architecture -- System Implementation -- The User Interface -- Identifying Regions with Good Sales: Using the Clustering Environment -- Establishing Data Relationships: Using the Metaquery Environment -- Market-Basket Analysis: Using the Association Rule Environment -- Visual Exploration Using DARE -- Formal Specification of the Visual Interface -- Clustering -- Usability -- Heuristic Evaluation -- Mock-Up Experiment -- User Tests. Future Work and Conclusions. EBL202103 XX SzGeCERN EBL Computer graphics EBL Data mining BOOK Mazeika, Arturas Simoff, Simeon Böhlen, Michael H https://cds.cern.ch/auth.py?r=EBLIB_P_6351720 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2758061 BOOK MIGRATED 2758054 SzGeCERN 20210421184042.0 9781000198379 electronic version electronic version 9780367266394 print version oai:cds.cern.ch:2758054 cerncds:BOOK EBL 6351671 eng TK5105.8857 .G467 2021 005.8 Ghosh, Uttam Internet of things and secure smart environments successes and pitfalls Milton CRC Press 2020 513 p ebook Chapman & Hall/CRC big data series Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of Figures -- List of Tables -- Preface -- Acknowledgement -- Editors -- Contributors -- Chapter 1 Wireless Localization for Smart Indoor Environments -- 1.1 Introduction -- 1.2 Positioning Methods -- 1.2.1 Transmission -- 1.2.1.1 Time -- 1.2.1.2 Direction -- 1.2.1.3 Phase -- 1.2.2 Characteristics -- 1.2.2.1 Strength -- 1.2.2.2 Channel -- 1.2.3 Critique -- 1.3 Positioning Technologies -- 1.3.1 Radio Waves -- 1.3.2 Sound -- 1.3.3 Magnetic Field -- 1.3.4 Visible Light -- 1.3.5 Vibration -- 1.3.6 Evaluation Metrics -- 1.3.7 Critique -- 1.4 A View for Research Prospects -- 1.5 Conclusion -- Note -- Bibliography -- Chapter 2 An Approach towards GIS Application in Smart City Urban Planning -- 2.1 Introduction -- 2.1.1 Objectives -- 2.1.2 Contribution -- 2.1.3 GIS in Urban Planning -- 2.1.4 GIS as an Integrated System for Smart Cities -- 2.1.4.1 GIS Applications for Smart Cities -- 2.1.5 GIS Software Types -- 2.1.6 GIS Websites -- 2.2 GIS in Transportation Analysis and Planning -- 2.2.1 Applications of GIS in Transportation Planning -- 2.2.2 Internet GIS and Its Applications in Transportation -- 2.2.3 GIS-T Analysis and Modeling -- 2.3 GIS in Waste Management Planning -- 2.3.1 Waste Storage System -- 2.3.2 Elements of Solid Waste Management -- 2.3.3 Significance of GIS in Waste Management -- 2.3.4 GIS for Sustainable Waste Management -- 2.3.5 GIS Modeling for the Optimization of Waste Collection and Transport -- 2.3.6 Application of GIS Technology in Waste Management -- 2.4 Regional Planning -- 2.5 GIS in Resource Management -- 2.5.1 The Role of GIS in the Management of Natural Resources -- 2.5.2 Use of Remote Sensing and GIS in Natural Resource Management -- 2.5.3 Application of GIS in Natural Resource Management. 2.5.3.1 Hazard and Risk Assessment -- 2.5.3.2 Change Detection -- 2.5.3.3 Natural Resource Inventory -- 2.5.3.4 Environmental Monitoring -- 2.6 GIS in Environmental Monitoring and Assessment -- 2.6.1 Monitoring Systems in General -- 2.6.2 Examples of Monitoring Systems -- 2.6.2.1 Real-Time Monitoring -- 2.6.2.2 Local Area Monitoring -- 2.6.3 Role of Remote Sensing and GIS in EIA -- 2.6.4 Advantages of Using GIS for EIA -- 2.6.5 Disadvantages in Using GIS for EIA -- 2.7 GIS in Socio-Economic Development -- 2.7.1 Methodological Issues of Socio-Economic Data Integration in GIS Applications -- 2.7.2 Use of GIS by Economic Development Professionals -- 2.7.3 Advantage of GIS in Economic Development Planning -- 2.7.4 Disadvantage of GIS in Economic Development Planning -- 2.8 GIS in Emergency Management -- 2.8.1 Implementing the Mission with GIS -- 2.8.2 Emergency Operations Plan -- 2.9 GIS in Education -- 2.9.1 Trials and Tribulations of GIS in K-12 Education -- 2.10 ML in GIS applications -- 2.11 Cybersecurity in GIS -- 2.12 Conclusion -- References -- Chapter 3 A Review of Checkpointing and Rollback Recovery Protocols for Mobile Distributed Computing Systems -- 3.1 Introduction -- 3.2 The System Model -- 3.3 Background and Definitions -- 3.4 Checkpointing Techniques -- 3.4.1 Checkpoint-Based -- 3.4.1.1 Uncoordinated Checkpointing -- 3.4.1.2 Coordinated Checkpointing -- 3.4.1.3 Communication-Induced Checkpointing -- 3.4.2 Log-Based -- 3.5 Literature Survey - Early Stage to Current Trend -- 3.6 Classification of the Protocols -- 3.7 Conclusions -- References -- Chapter 4 Softwarized Network Function Virtualization for 5G: Challenges and Opportunities -- 4.1 Introduction -- 4.2 Background -- 4.2.1 An Overview of SDN -- 4.2.2 Basic SDN Architecture -- 4.2.2.1 SDN Control Plane Architecture -- 4.2.2.2 SDN Application Plane Architecture. 4.2.2.3 Operating Principle of SDN -- 4.2.3 An Overview of NFV -- 4.2.3.1 Background and Motivation for NFV -- 4.3 The Relationship of SDN/NFV with 5G -- 4.3.1 Basic 5G Network Architecture -- 4.3.1.1 The Core Network Architecture of 5G -- 4.3.1.2 5G Geographical Architecture Adoption -- 4.3.2 SDN-/NFV-Enabled 5G Architecture -- 4.3.3 Fundamental Overview of Network Architecture -- 4.4 Major Challenges for NFV in 5G -- 4.5 Opportunities for NFV in 5G -- 4.6 Conclusion and Future Works -- Bibliography -- Chapter 5 An Effective Deployment of SDN Controller in Smart City Renovation -- 5.1 Introduction -- 5.1.1 SDN Overview -- 5.1.2 Satellite Communication -- 5.2 Background Study -- 5.2.1 Satellite Communication Using Traditional Network -- 5.2.2 Satellite Communication Using SDN Framework -- 5.2.3 Application Deployment of SDN -- 5.3 Proposed SDN Controller Deployed Design Framework -- 5.3.1 Data Retrieval -- 5.3.2 Computation -- 5.3.3 Verification of Design Constraints -- 5.3.4 Information Circulation -- 5.4 NF Virtualization for Energy-Efficient Traffic Dissemination -- 5.4.1 Network Packet Scheduler -- 5.4.2 Network Functions -- 5.5 Mapping of Traffic Control Flow to SDN Virtualization -- 5.6 Implementation of SDN Deployed Design Framework in Smart City -- 5.6.1 Experimental Setup -- 5.6.2 Performance Evaluation -- 5.6.3 Discussion -- 5.7 Conclusion -- References -- Chapter 6 Flying Ad Hoc Networks: Security, Authentication Protocols, and Future Directions -- 6.1 Introduction -- 6.1.1 An Overview of FANET -- 6.1.1.1 5G- and Blockchain-Enabled FANET -- 6.1.2 UAV Subsystems -- 6.1.3 Applications -- 6.2 Vulnerabilities and Attacks -- 6.3 Security Requirements in FANET -- 6.4 Authentication Mechanisms in FANET -- 6.4.1 Mutual Authentication -- 6.4.2 User Authentication and Key Agreement Protocols -- 6.4.3 Drone Authentication. 6.4.4 Operator Authentication -- 6.4.5 Tools and Techniques -- 6.5 Recent Trends and Future Directions -- 6.5.1 AI-Enabled Authentication -- 6.5.1.1 Physical Attribute-Based Authentication -- 6.5.2 PUF-Based Authentication -- 6.5.3 Hardware Implementation of Authentication Protocols -- 6.5.4 Chaos-Based Mutual Authentication -- 6.5.5 Quantum Authentication -- 6.5.6 Quantum Chaos Authentication -- 6.6 Conclusion -- Bibliography -- Chapter 7 Investigating Traffic of Smart Speakers and IoT Devices: Security Issues and Privacy Threats -- 7.1 Introduction -- 7.2 Smart Speakers: Architecture and Threat Model -- 7.2.1 Threat Model -- 7.2.2 Machine Learning Techniques for Attacking the IoT Ecosystem -- 7.2.2.1 k-Nearest Neighbors (kNN) -- 7.2.2.2 Decision Tree (DT) -- 7.2.2.3 Adaptive Boosting - AdaBoost (AB) -- 7.2.2.4 Random Forest -- 7.2.2.5 Support Vector Machine (SVM) -- 7.2.2.6 Neural Networks -- 7.2.2.7 K-Fold Cross-Validation -- 7.3 Experimental Test Bed -- 7.3.1 Data Handling -- 7.4 Numerical Results -- 7.4.1 Dataset Overview -- 7.4.2 Classifying the State of the Smart Speaker -- 7.4.3 Analysis of the Training Time -- 7.5 Development of Countermeasures -- 7.6 Conclusions and Future Works -- Notes -- Bibliography -- Chapter 8 Hardware Security in the Context of Internet of Things: Challenges and Opportunities -- 8.1 Introduction -- 8.1.1 Motivational Example -- 8.1.2 Contributions and Organization of This Chapter -- 8.2 Threats on IoT Implementation -- 8.2.1 HTH and Countermeasures -- 8.2.1.1 Modern Integrated Circuit Design and Manufacturing Practices -- 8.2.2 HTH Classification Based on Triggering Mechanism -- 8.2.3 Impact of Undetected HTH Insertion -- 8.2.3.1 Trojans on IoT Infrastructure -- 8.2.4 Countermeasures against HTHs -- 8.2.4.1 HTH Attack Models and Countermeasure Classification -- 8.2.5 Countermeasures in Malicious Foundry Model. 8.2.5.1 Destructive Detection Approaches -- 8.2.5.2 Non-Destructive Detection Approaches -- 8.2.5.3 DFT Insertion Approaches -- 8.2.5.4 Runtime Monitoring Approaches -- 8.2.5.5 Other Emerging Detection Approaches -- 8.2.6 Countermeasures in 3PIP Model -- 8.2.7 Counterfeit ICs -- 8.2.8 Counterfeit IC Detection -- 8.2.9 Trends of HTH and Counterfeit Electronics Research -- 8.3 PUFs for IoT Security -- 8.3.1 Physically Unclonable Function (PUF) -- 8.3.1.1 PUF Classification -- 8.3.2 Attacks on PUFs -- 8.3.2.1 Modeling Attacks on Delay PUF Variants -- 8.3.2.2 Cryptanalytic Attacks on Delay PUFs -- 8.3.3 Attacks on PUF Protocols -- 8.3.4 Philosophy Behind Modeling Resistant Strong PUF Designs -- 8.3.5 Application of PUF for IoT Security -- 8.4 Open Research Issues and Future Research Directions -- 8.5 Conclusions -- Bibliography -- Chapter 9 Security Challenges in Hardware Used for Smart Environments -- 9.1 Introduction to IoT and Hardware Security Issues -- 9.1.1 Hardware Issues with Real-Time Examples and Their Countermeasures -- 9.2 Security Challenges in IoT Devices -- 9.3 Overview of Hardware Attacks and Threat Models -- 9.3.1 Hardware Trojans -- 9.3.2 Hidden Back Door -- 9.3.3 IP/IC Piracy -- 9.3.4 IC Overproduction &amp -- Cloning -- 9.3.5 Reverse Engineering -- 9.4 Security Challenges of Hardware Trojans at IoT Devices -- 9.5 Countermeasures against Hardware Trojan -- 9.5.1 Trojan Detection and Diagnosis -- 9.5.2 Online-Monitoring HT Detection -- 9.5.3 Trojan Prevention -- 9.6 Conclusion -- Bibliography -- Chapter 10 Blockchain for Internet of Battlefield Things: A Performance and Feasibility Study -- 10.1 Introduction -- 10.2 Challenges of IoBT: An Overview -- 10.2.1 Security and Trustworthiness -- 10.2.2 Communication -- 10.2.3 Node Location -- 10.3 Related Works -- 10.4 Blockchain Use Cases for Tactical Networks. 10.4.1 Permission-Less Variants. EBL202103 XX SzGeCERN BOOK Rawat, Danda B Datta, Raja Pathan, Al-Sakib Khan https://cds.cern.ch/auth.py?r=EBLIB_P_6351671 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2758054 BOOK MIGRATED 2758044 SzGeCERN 20210421184043.0 9780306480225 electronic version electronic version 9781402005527 print version oai:cds.cern.ch:2758044 cerncds:BOOK EBL 6350716 eng TD194.7 .B686 2002 658.408 Bouma, J J Environmental management accounting Dordrecht Springer 2002 296 p ebook Eco-efficiency in industry and science 9 EBL202103 XX SzGeCERN BOOK Wolters, T J Bennett https://cds.cern.ch/auth.py?r=EBLIB_P_6350716 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2758044 BOOK MIGRATED 2758032 SzGeCERN 20210421184043.0 9789811461750 electronic version electronic version 9789811461736 print version oai:cds.cern.ch:2758032 cerncds:BOOK EBL 6347282 eng TJ810 .N377 2020 621.47 Nasraoui, Haythem Solar chimney power plants Singapore Bentham Science Publishers 2020 211 p ebook Recent advances in renewable energy Intro -- CONTENTS -- PREFACE -- ACKNOWLEDGEMENT -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- Nomenclature -- Introduction -- Bibliographic Study -- 1. INTRODUCTION -- 2. SOLAR ENERGY -- 2.1. Solar Spectrum -- 2.2. Irradiation Areas -- 2.3. Advantages and Disadvantages of Solar Energy -- 3. DIFFERENT TYPES OF SOLAR SYSTEMS -- 3.1. System Photovoltaic (Fig. 1.5). -- 3.2. Thermal System -- 3.3. Thermodynamic System -- 3.3.1. Parabolic trough systems (Fig. 1.7) -- 3.3.2. Solar Power Stations with Fresnel Mirror (Fig. 1.8) -- 3.3.3. Solar Tower Power Plants (Fig. 1.9) -- 3.3.4. Dish Systems (Fig. 1.10) -- 3.3.5. Limitation of Photovoltaics and Thermodynamic System -- 3.3.6. Solar Chimney Power Plant -- 4. SOLAR CHIMNEY -- 4.1. Description -- 4.2. Greenhouse Effect -- 4.3. Principle -- 4.4. Mainly Components of the Solar Chimney -- 4.4.1. Collector -- 4.4.2. Chimney -- 4.4.3. Turbine -- 4.5. Energy Storage -- 4.6. Advantages and Disadvantages -- 4.7. The Efficiency of Solar Chimney -- 4.7.1. Collector Efficiency -- 4.7.2. The efficiency of the chimney -- 4.7.3. The Eefficiency of the Turbine and Generator -- 4.7.4. Power -- 5. A SOLAR CHIMNEY TIMELINE -- 5.1. Mainly Current Projects -- 5.2. Floating Solar Chimney Technology -- 5.3. Experimental Prototypes -- CONCLUSION -- Numerical Approach -- 1. INTRODUCTION -- 2. MATHEMATICAL FORMULATION -- 2.1. Governing Conservation Equations -- 2.2. Simplifying Assumptions -- 2.3. Simplified Equations -- 3. COMPUTATIONAL FLUID DYNAMICS (CFD) -- 3.1. Need of CFD -- 3.2. CFD Strategy -- 3.3. Mesh -- 3.4. Discretization Methods -- 3.5. Convergence Criteria -- 3.6. Turbulent Models -- 3.6.1. k-ε Model -- 3.6.2. k-kl-ω Transition Model -- 3.6.3. Transition SST Model -- 3.7. Discrete Ordinates (DO) Radiation Model Theory -- CONCLUSION -- Numerical Models Choice and Validation with Anterior Results. 1. INTRODUCTION -- 2. DESCRIPTION OF THE PROBLEM -- 3. NUMERICAL MODEL -- 3.1. Boundary Conditions -- 3.2. CFD Parameters -- 4. MESHING EFFECT -- 5. TURBULENCE MODEL EFFECT -- 5.1. Temperature -- 5.2. Magnitude Velocity -- 5.3. Static Pressure -- 5.4. Dynamic Pressure -- 5.5. Radiation -- 5.6. Turbulent Kinetic Energy -- 5.7. Dissipation Rate of the Turbulent Kinetic Energy -- 6. HEAT TRANSFER MODE EFFECT IN THE ABSORBER -- 6.1. Temperature -- 6.2. Magnitude Velocity -- 6.3. Radiation -- 6.4. Enthalpy -- 6.5. Static Pressure -- 6.6. Dynamic Pressure -- 6.7. Turbulent Kinetic Energy -- 6.8. Dissipation Rate of the Turbulent Kinetic Energy -- 7. HEAT TRANSFER MODE EFFECT IN THE COLLECTOR -- 7.1. Temperature -- 7.2. Magnitude Velocity Profiles -- 7.3. Radiation -- 7.4. Enthalpy -- 7.5. Static Pressure -- 7.6. Dynamic Pressure -- 7.7. Turbulent Kinetic Energy -- 7.8. Dissipation Rate of the Turbulent Kinetic Energy -- CONCLUSION -- Design of Prototype -- 1. INTRODUCTION -- 2. SOLAR CHIMNEY SYSTEM -- 3. NUMERICAL PARAMETERS -- 3.1. Meshing -- 3.2. Boundary Conditions and Numerical Parameters -- 4. SIZING OF PROTOTYPE -- 4.1. Collector Diameter Effect -- 4.1.1. Magnitude Velocity -- 4.1.2. Temperature -- 4.1.3. Static Pressure -- 4.1.4. Turbulent Kinetic Energy -- 4.1.5. Dissipation Rate of the Turbulent Kinetic Energy -- 4.1.6. Turbulent Viscosity -- 4.2. Collector Slope Angle Effect -- 4.2.1. Magnitude Velocity -- 4.2.2. Temperature -- 4.2.3. Static Pressure -- 4.2.4. Turbulent Kinetic Energy -- 4.2.5. Dissipation Rate of the Turbulent Kinetic Energy -- 4.2.6. Turbulent Viscosity -- 4.3. Collector Height Effect -- 4.3.1. Magnitude Velocity -- 4.3.2. Temperature -- 4.3.3. Static Pressure -- 4.3.4. Turbulent Kinetic Energy -- 4.3.5. Dissipation Rate of the Turbulent Kinetic Energy -- 4.3.6. Turbulent Viscosity -- 4.4. Chimney Diameter Effect. 4.4.1. Magnitude Velocity -- 4.4.2. Temperature -- 4.4.3. Static Pressure -- 4.4.4. Turbulent Kinetic Energy -- 4.4.5. Dissipation Rate of the Turbulent Kinetic Energy -- 4.4.6. Turbulent Viscosity -- 4.5. Chimney Height Effect -- 4.5.1. Magnitude Velocity -- 4.5.2. Temperature -- 4.5.3. Static Pressure -- 4.5.4. Turbulent Kinetic Energy -- 4.5.5. Dissipation Rate of the Turbulent Kinetic Energy -- 4.5.6. Turbulent Viscosity -- 4.6. Chimney Forms Effect -- 4.6.1. Magnitude Velocity -- 4.6.2. Static Pressure -- 4.6.3. Turbulent Kinetic Energy -- 4.6.4. Dissipation Rate of the Turbulent Kinetic Energy -- 4.6.5. Turbulent Viscosity -- 5. OPTIMUM GEOMETRY CHOICE -- 6. VALIDATION WITH EXPERIMENTAL RESULTS -- CONCLUSION -- Experimental Study -- 1. INTRODUCTION -- 2. PROTOTYPE PRESENTATION -- 2.1. Collector -- 2.2. Chimney and Support -- 2.3. Turbine Generator -- 2.4. Absorber -- 3. INSTRUMENTATION -- 3.1. Velocity Measuring -- 3.2. Temperature Measuring -- 3.3. Measuring Location -- 3.4. Electric Power Measuring -- 4. EXPERIMENTAL RESULTS -- 4.1. Radiation -- 4.1.1. Daily Radiation -- 4.1.2. Typical Day -- 4.2. Temperature -- 4.2.1. Daily Temperature -- 4.2.2. Typical Day -- 4.3. Velocity -- 4.3.1. Daily Velocity -- 4.3.2. Typical Day -- 4.4. Power Output -- 4.5. Correlation -- 4.5.1. Velocity -- 4.5.2. Power Output -- CONCLUSION -- Conclusion and Recommendations -- References -- REFERENCES. Solar Chimney Power Plants: Numerical Investigations and Experimental Validation summarizes the effect of the geometrical parameters of a solar chimney on the airflow behavior inside a solar chimney power plant. Chapters in this experimental handbook are presented in two parts with the goal of equipping readers with the information necessary to study and determine key factors which affect the performance of the solar chimney power plant.In the first part, the authors present a simulation developed by using computational fluid dynamics (CFD) modeling software ANSYS Fluent to model the airflow. The adopted CFD models include k-ɛ turbulence model, the DO radiation model and the convection heat flux transfer model. These models have been validated with anterior experimental results.In the second part, the simulated models are then tested with alternate geometric configurations of the solar chimney power plant. The numerical studies allow readers to consider ways to expand on the design optimizing of the solar chimney when constructing a prototype. Geometrical parameters include the height, the diameter of the chimney and the dimensions of the solar collector and their effect on the temperature and air pressure is documented to validate models used for experimental simulations.The handbook also includes a study of an experimental prototype, constructed at ENIS. The researchers have gathered data on the environmental temperature, distribution of the temperature, air velocity and the power output generated by the turbine, the solar radiation and the gap of temperature in the collector of the prototype. EBL202103 XX SzGeCERN EBL Solar power plants-Design and construction BOOK Bsisa, Moubarek Driss, Zied https://cds.cern.ch/auth.py?r=EBLIB_P_6347282 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2758032 BOOK MIGRATED 2757997 SzGeCERN 20210421184045.0 9783035704242 electronic version electronic version 9780878495511 print version oai:cds.cern.ch:2757997 cerncds:BOOK EBL 6341293 eng QC611.6.D4 .D444 1986 621.38152 von Bardeleben, H J Defects in semiconductors 14 Zurich Trans Tech Publications 1986 1277 p ebook Materials science forum 1012 Intro -- Defects in Semiconductors 14 -- Table of Contents -- Fundamental Defects in GaAs: Present and Prospective in GaAs Microelectronics Technology -- Hot Topics: Theory -- AB-Initio Theory of Defects in Crystalline and Amorphous Semiconductors -- Chalcogen and Vacancy Pairs in Silicon: Electronic Structure and Stabilities -- Electronic Structures of Substitutional Off-Center and Small-Aggregate Defects in Silicon by Semi-Empirical Green's Function Methods -- Selfconsistent Tight Binding Theory of Trends for Substitutional Transition Metal Ions in Si and GaAs -- Tight-Binding Study of the Silicon Divacancy -- Electronic Structure of Cationic Substitutional Cu, Ag, Au, and the Metal Vacancy in ZnS, ZnSe and CdTe -- Theoretical Model of Transition Metal-Shallow Acceptor Impurity Pairs in Silicon -- Calculation of the Spin-Polarized Electronic Structure of Si: Feoi in Super-Cell Full-Potential Linearized Augumented Plane Wave Method -- Tight Binding Calculations of Optical Cross Sections for Deep Level Defects in Semiconductors -- Accurate Prediction of Lattice Distortion for Complex Defects in Semiconductors: Extended Interstitials as Tests of Valence Force Potentials -- Effects of Doping and Alloying on Native Defects and Complex Formation in Hg1-x CdxTe -- The Electronic States of a Substitutional Ytterbium Impurity in Indium Phosphide -- Defect Calculations in a Modified Haldane-Anderson Model -- Electronic Structure of Neutral Complex Defects in Silicon -- High Temperature Investigations of Silicon by Means of Positron Annihilation -- Theoretical Determination of the Vacancy Migration Energy in Silicon -- Diffusion without Vacancies or Interstitials: A New Concerted Exchange Mechanism -- Germanium Impurity Diffusion in Boron Doped Silicon -- Diffusion of Tellurium in Silicon -- Behaviour of Substitutional Gold in Silicon. Nature and Generation Mechanism of Butterfly-Type Intrinsic Gettering Centers in Oxygen-Free Silicon Crystals -- Distribution of Cobalt in Silicon after Phosphorous Diffusion Gettering -- Transient Defects Kinetics during Silicon Oxidation and Diffusion Phenomena -- Migration of Interstitial Boron in Silicon -- Solubility, Diffusion and Ion-Pairing of Cobalt in Extrinsic Silicon at 700°C -- Diffusion and Conductivity of Potassium Impurity in Silicon and Germanium -- An Overview of Electron Paramagnetic Resonance Studies of Si-SiO2 Interface States -- Manganese Luminescence in GaAs/GaAlAs Superlattices -- Capacitance and Current Spectroscopy of Perpendicular Transport in Compensated GaAs-GaAlAs Superlattices -- Characterization of Electron Traps in GaAs-GaAlAs Superlattices -- Defect Generation in the Initial Stages of Epitaxial Growth of GaAs on Silicon by MBE -- Atomic Imaging of Surface Defects on Si -- Influence of Strain on Silicon Surface and Silicon Oxide Interface Reconstruction -- Deep Level at Semiconductor Surfaces -- Charged Defect States at Silicon Grain Boundaries -- Bulk and Grain Boundary Defects in Polycrystalline ZnO -- The Role of Defect Production at Surface and Interface of CdHgTe and ZnHgTe -- Electronic Structure of As and P Antisite Defects and Ga Vacancy in GaP and GaAs -- EPR Spectra of AsGa Aggregates in GaAs -- Endor-Investigation of the Ga Vacancy in GaP -- Characterization of Vacancy Defects in As-Grown and Electron Irradiated GaAs by Positron Annihilation -- Triplet Spin ODMR from Phosphorous Antisites in Undoped InP -- Electronic Structure and Positron States at Vacancies in Semiconductors -- Search for the Full Atomic Structure of El2 in GaAs -- Bistability and Metastability of VGa in GaAs -- EPR Observation of the Arsenic Antisite - Arsenic Vacancy Complex. A Model for the Atomic Configuration of the EL2 Defect in GaAs -- The Arsenic Antisite Defect in GaAs and Its Relation to EL2 -- Observation of New EL2 Related Properties in GaAs. Photodissociation Model of EL2 Metastability -- Optical Transition Mechanisms via Excited State and a New Configuration Coordinate Model for EL2 in GaAs -- The Energy Position of the EL2 Ground State in GaAs -- EL2 Characteristics of In-Doped Vapor Phase Epitaxy GaAs Layers -- AsGa-Asi-AsGa Complex as a Model of EL2 Centre in GaAs -- Optically-Assisted Thermal Anneal of Metastable Defects in GaAs -- Resonant Raman Scattering at Point Defects in GaAs -- Infrared Investigations of Persistent Carriers, Photo-Generated during EL2 Bleaching in GaAs -- ESR Studies of Semi-Insulating GaAs Crystals -- EL2 Quenching Behaviour in Infrared GaAs Transmission Images -- Introduction to Metastability: Configuration Coordinate Diagrams -- Trends in the Bistable Properties of Iron-Acceptor Pairs in Silicon -- Metastable States of the DX Center in AlxGa1-xAs -- Environmental Effects in DX (Te) Centers in GaAlAs -- Trapping Characteristics of the Dual States of the D-X Center in MBE Grown Si-Doped AlGaAs -- Trapping Characteristics and Analysis of Te-Related DX Centers in AlGaAs and GaAsP -- Effect of the Host Band Structure on Capture and Emission Processes at DX Centers in AlGaAs -- The Ge-Related DX Level in Sn/Ge-Doped AlxGa1-xAs Hetero-Junctions Grown by LPE -- A New Model of Deep Donor Centers in AlxGa1-xAs -- Optical Nuclear Polarization and Spin-Dependent Reactions in Semiconductors -- Evidence of "Coherent" Recombination on a Deep Center from Recombination Enhanced Defect Reactions -- Multiphonon Recombination by Bourgoin-Corbett Mechanism -- Uniaxial Stress DLTS of Iron-Acceptor Pairs in Silicon. On the Behaviour of Hole Capture with Multiphonon Emission at Deep Level Defects H3 and H4 in p-GaAs -- Stress Effects of Deep Centers in Si, New Method to Determine Old Parameter Ξμ -- Cathodoluminescence Contrast from Localized Defects in Semiconductors -- A Study of Electron Capture Cross Sections of A-Center and Gold Acceptor in Silicon under Uniaxial Stress -- Transition Metal Impurities-Induced Nonradiative Recombination Processes in the ZnS Lattice -- Zero-Phonon Line of Deep-Level Luminescence in GaAs -- Accurate Determination of Capture Time Constant of Interface States in MOS Structures -- Application of Optically Detected Magnetic Resonance to the Characterization of Point Defects in Semiconductors -- Constant Photo-EPR: A New Method for Deep Level Characterization -- Characterization of Deep Levels by Microwave Absorption Spectroscopy -- Profiling of Vacancy Defects in Ion-Implanted Si by Slow Positron Beam -- Analysis of the Electric Field Influence on the Emission Rate of the Te-Related Center in GaAs0.6P0.4 -- Optical Isothermal Transient Spectroscopy: Application to the Boron Implantation in GaAs -- Scanning Transmission Electron Beam Induced Current in Polycrystalline Silicon -- On the Formation of 111In-Donor Atom Pairs in Silicon as Observed by PAC -- Acceptor-Donor-Interactions in Silicon Studied by the Pac-Method -- Hydrogen Behavior and Hydrogen-Related Defects in Single Crystal Silicon -- Hydrogen Diffusion and Hydrogen-Dopant Reactions in Crystalline Silicon -- Photoluminescence Detection of the Shallow Impurity Neutralization in GaAs -- Selective Hydrogen Passivation of Oxygen-Related Thermal-Donor Clusters in Silicon -- Correlation between Hydrogen Diffusion and Donor Neutralization in Hydrogenated n-GaAs: Si -- In Studies of the Electron-Irradiated Silicon Crystal Grown in Hydrogen Atmosphere. The Optical Cross-Section of 3d Impurity Induced Transitions in III-V and II-VI Semiconductors -- Transition-Metal Luminescence in III-V Alloys -- The Importance of Random Strain in Deep Level Jahn-Teller Systems Studied by TD-EPR -- Identification of the Co1+ Double Acceptor State in GaAs -- Spectroscopy of GaAs and InP Grown in the Presence of Rare Earth Elements -- Vanadium in GaAs and GaP -- Properties of Titanium in GaAs and InP -- Study of Transition Metal Deep Donor Levels in InP -- The Donor Level Ti3+/Ti4+ in InP: Electrical and Optical Properties -- Study of the Cr 2+ Luminescence in GaAs as a Function of Hydrostatic Pressure -- Optical, Electrical and EPR Studies of GaAs:Ni -- The Luminescence at 0.844 eV in GaAs:Cr - A Zeeman Spectroscopy -- Optical Detection of Magnetic Resonance in the Optically Excited 2F5/2-State of Yb3+ in InP -- On the Evidence for the Effect of Local Symmetry on the Photoionization Spectrum of Fe2+ in InP -- Non-Stationary Infrared-Optical Processes Involving Deep Impurities in III-V Compound Semiconductors -- Optically-Detected Magnetic Resonance of Gold Centres in Zinc Selenide -- Structure of Pd, Pt and Au Impurities in Silicon: The Energy Levels under Uniaxial Stress and Hydrostatic Pressure -- Interstitial 3d Transition Metal Impurities in Silicon: An Ab Initio Cluster Study -- Photoluminescence Studies on Gallium-Related Deffects in Silicon -- Identification of the Energy Levels of Si:Pd by DLTS -- Electrons of 3d Transition Metals in Silicon -- High Resolution Transmission Electron Microscopy of Semiconductors and Their Defects -- Classification of Defects in Plastically Deformed Silicon -- The Growth Mechanism of Dislocation Loops in Arsenic Implanted Silicon -- The Role of Point Defects in the Nucleation of Film Edge Induced Dislocations in Silicon. Structural Features in the Photoluminescence from Widely Dissociated Straight Partial Dislocations in Silicon. Proceedings of the 14th International Conference on Defects in Semiconductors (ICDS-14), Paris, France, 1986. EBL202103 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6341293 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2757997 BOOK MIGRATED 2757988 SzGeCERN 20210421184045.0 9783035739800 electronic version electronic version oai:cds.cern.ch:2757988 cerncds:BOOK EBL 6341266 eng TJ163.7 .S478 1996 621.042 Sequeira, C A C Chemistry and energy Zurich Trans Tech Publications 1996 430 p ebook Retrospective collection 29 Chemistry and Energy -- Opening address -- Table of Contents -- I. The Chemistry of Fossil Fuels -- Effect of Experimental Conditions on Liquefaction Yields when Coal is Impregnated with Catalyst -- The Recovery of Vanadium and Nickel Products from Orimulsion Combustion Ashes -- The Effects of Substitution of Light Fuel Oils by Natural Gas in Asphalt Base -- II. Catalysis in Environmental Protection -- Electrochemical Treatment of Olive Oil Wastewaters for Toxicity Reduction -- New Macrocyclic Compounds: Application in Energy Sector for Environmental Protection and Raw Materials Saving -- Activity and Deactivation of Molten Salt Catalysts during SO2 Oxidation and Flue Gas Desulphurization -- The Sorption and Reaction of NO and NO2 on Metal-Oxygen-Cluster Compounds (Heteropoly Oxometalates) -- III. Membrane Science and Separation Processes -- Industrial Applications of Ionic Conducting Polymers: Bipolar Membranes -- Energy Savings in Electrochemical and Membrane Separation Techniques -- The Dielectric Behavior of Ion Conducting Glasses -- IV. Hydrogen Energy -- New Proton Conductors for Fuel Cell Applications -- Cold Fusion Arising from Hydrogen Evolution Reaction on Active Metals in Alkali Metallic Ions' Solutions -- V. Molten Salt Reactors -- Opening of Rational Safe Thorium Utilization Way: THORIMS-NES by Plutonium-Burning and 233U-Production -- Investigations of Russian Research Center - "Kurchatov Institute" on Molten Salt Applications to Nuclear Energy Systems -- Mass Transfer in Electrochemical Reactors with Molten Electrolytes -- Physico Chemical Features of the Molten Salt Fuel Reprocessing Using the ABC/ATW Complex -- The Actinide and Rare Earth Behaviour in Molten Fluoride Salt Mixtures -- VI. Electrochemical Power Sources -- Effect of Alloying and Electrolyte Additives on the Electrical Data of a Reactive Aluminium-Air Cell. Modeling the Autonomy of Lead-Acid Batteries under Dynamic Operation in EVs -- A Survey of New Catalysts for the Methanol Fuel Cell -- Physical and Electrical Characterization of Lithium Borovanadate Glasses -- The Study of the Electrochemical Properties of the Intermetallic Hydrides on the Base of LaNi5 -- Technique Development of Nickel Electrodes in Secondary Batteries -- Synthesis and Characterization of the Polymer Electrolyte PEO-LiCF3SO3 Produced by Hot and Cold Mechanical Mixing -- Semiconductor-Electrolyte Cells and their Potential Application in the Conversion of Solar Energy into Electricity -- Solar Energy Conversion and Storage by Means of Photoelectrochemical Methods -- VII. Miscellaneous Topics -- Energy Efficient Synthesis of Advanced Ceramics and Intermetallics by Combustion Processes -- Ignition Mechanisms of Pulverized Coal Particles -- Polymer Networks and Interpenetrating Networks -- Numerical Simulation and Experimental Study of Coal Particles Ignition in Shock Tube -- Shock Induced Synthesis of Intermetallics: Energies and Mechanisms -- On the Flow at CO Detonation Combustion in Experimental Facility with Shock Tube -- Vapor-Liquid Equilibrium with Model Coal Compounds -- Relevant Aspects of Hydrometallurgical Processes -- P.V.T. Measurements of Fluids of Energetic Importance at Low and High Temperatures -- Keyword Index. Proceedings of the 2nd European East-West Workshop on Chemistry and Energy, held in Sintra, Portugal, March 1995. EBL202103 XX SzGeCERN EBL Power (Mechanics)-Congresses BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6341266 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2757988 BOOK MIGRATED 2757971 SzGeCERN 20210421184046.0 9780128212585 electronic version electronic version 9780128212592 print version oai:cds.cern.ch:2757971 cerncds:BOOK EBL 6340276 eng R859.7.A78 .G544 2021 610.28563 Xing, Lei Artificial intelligence in medicine technical basis and clinical applications San Diego, CA Elsevier Science & Technology 2020 570 p ebook Front Cover -- Artificial Intelligence in Medicine -- Copyright Page -- Dedication -- Contents -- List of contributors -- Foreword -- References -- Preface -- Acknowledgments -- I. Introduction -- 1 Artificial intelligence in medicine: past, present, and future -- 1.1 Introduction -- 1.2 A brief history of artificial intelligence and its applications in medicine -- 1.3 How intelligent is artificial intelligence? -- 1.4 Artificial intelligence, machine learning, and precision medicine -- 1.5 Algorithms and models -- 1.6 Health data sources and types -- 1.7 The promise -- 1.8 The challenges -- 1.8.1 Quality and completeness of training data -- 1.8.2 Trust and performance: the case for model interpretability -- 1.8.3 Beyond performance and interpretability: causality -- 1.8.4 Defining the question, measuring real-world impact -- 1.8.5 Maximizing information gain across modalities, tasks, populations, and time -- 1.8.6 Quality assessment and expert supervision -- 1.9 Making it a reality: integrating artificial intelligence into the human workforce of a learning health system -- References -- 2 Artificial intelligence in medicine: Technical basis and clinical applications -- 2.1 Introduction -- 2.2 Technology used in clinical artificial intelligence tools -- 2.2.1 Elements of artificial intelligence algorithms -- 2.2.1.1 Activation functions -- 2.2.1.2 Fully connected layer -- 2.2.1.3 Dropout -- 2.2.1.4 Residual blocks -- 2.2.1.5 Initialization -- 2.2.1.6 Convolution and transposed convolution -- 2.2.1.7 Inception layers -- 2.2.2 Popular artificial intelligence software architectures -- 2.2.2.1 Neural networks and fully connected networks -- 2.2.2.2 Convolutional neural networks -- 2.2.2.3 U-Nets and V-Nets -- 2.2.2.4 DenseNets -- 2.2.2.5 Generative adversarial networks -- 2.2.2.6 Hybrid generative adversarial network designs. 2.3 Clinical applications -- 2.3.1 Applications of regression -- 2.3.1.1 Bone age -- 2.3.1.2 Brain age -- 2.3.2 Applications of segmentation -- 2.3.3 Applications of classification -- 2.3.3.1 Detection of disease -- 2.3.3.2 Diagnosis of disease class -- 2.3.3.3 Prediction of molecular markers -- 2.3.3.4 Prediction of outcome and survival -- 2.3.4 Deep learning for improved image reconstruction -- 2.4 Future directions -- 2.4.1 Understanding what artificial intelligence "sees" -- 2.4.2 Workflow -- 2.5 Conclusion -- References -- II. Technical basis -- 3 Deep learning for biomedical videos: perspective and recommendations -- 3.1 Introduction -- 3.2 Video datasets -- 3.3 Semantic segmentation -- 3.4 Object detection and tracking -- 3.5 Motion classification -- 3.6 Future directions and conclusion -- References -- 4 Biomedical imaging and analysis through deep learning -- 4.1 Introduction -- 4.2 Tomographic image reconstruction -- 4.2.1 Foundation -- 4.2.2 Computed tomography -- 4.2.3 Magnetic resonance imaging -- 4.2.4 Other imaging modalities -- 4.3 Image segmentation -- 4.3.1 Introduction -- 4.3.2 Localization versus segmentation -- 4.3.3 Fully convolutional networks -- 4.3.4 Regions with convolutional neural network features -- 4.3.5 A priori information -- 4.3.6 Manual labeling -- 4.3.7 Semisupervised and unsupervised approaches -- 4.4 Image registration -- 4.4.1 Single-modality image registration -- 4.4.2 Multimodality image registration -- 4.5 Deep-learning-based radiomics -- 4.5.1 Detection -- 4.5.2 Characterization and diagnosis -- 4.5.3 Prognosis -- 4.5.4 Assessment and prediction of response to treatment -- 4.5.5 Assessment of risk of future cancer -- 4.6 Summary and outlook -- References -- 5 Expert systems in medicine -- 5.1 Introduction -- 5.2 A brief history -- 5.3 Methods -- 5.3.1 Expert system architecture. 5.3.2 Knowledge representation and management -- 5.3.3 Uncertainty, probabilistic reasoning, fuzzy logic -- 5.3.3.1 Uncertainty -- 5.3.3.2 Probabilistic reasoning -- 5.3.3.3 Fuzzy logic -- 5.4 Applications -- 5.4.1 Computer-assisted diagnosis -- 5.4.2 Computer-assisted therapy -- 5.4.3 Medication alert systems -- 5.4.4 Reminder systems -- 5.5 Challenges -- 5.5.1 Workflow integration -- 5.5.2 Clinician acceptance and alert fatigue -- 5.5.3 Knowledge maintenance -- 5.5.4 Standard, transferability, and interoperability -- 5.6 Future directions -- References -- 6 Privacy-preserving collaborative deep learning methods for multiinstitutional training without sharing patient data -- 6.1 Introduction -- 6.2 Variants of distributed learning -- 6.2.1 Model ensembling -- 6.2.2 Cyclical weight transfer -- 6.2.3 Federated learning -- 6.2.4 Split learning -- 6.3 Handling data heterogeneity -- 6.4 Protecting patient privacy -- 6.5 Publicly available software -- 6.6 Conclusion -- References -- 7 Analytics methods and tools for integration of biomedical data in medicine -- 7.1 The rise of multimodal data in biology and medicine -- 7.1.1 The emergence of various sequencing techniques -- 7.1.1.1 Bulk sequencing -- 7.1.1.2 Single-cell sequencing -- 7.1.2 The increasing need for combining images and omics in clinical applications -- 7.1.2.1 Various modalities of images in clinics -- 7.1.2.2 The rise of radiomics: combine medical images with omics -- 7.1.3 The availability of large-scale public health data -- 7.2 The challenges in multimodal data-problems with learning from multiple sources of data -- 7.2.1 The imperfect generation of single-cell data -- 7.2.1.1 The complementariness of various sources of data -- 7.2.2 The issues of generalizability of machine learning -- 7.3 Machine learning algorithms in integrating medical and biological data. 7.3.1 Genome-wide data integration with machine learning -- 7.3.1.1 How to integrate various omics for cancer subtyping -- 7.3.1.2 How to integrate single-cell multiomics for precision medicine -- 7.3.2 Data integration beyond omics-an example with cardiovascular diseases -- 7.3.2.1 How to integrate various image modalities such as magnetic resonance imaging computed tomography scans -- 7.3.2.2 How to better the diagnosis by linking images with electrocardiograms -- 7.3.3 Multimodal decision-making in clinical settings -- 7.4 Future directions -- References -- III. Clinical applications -- 8 Electronic health record data mining for artificial intelligence healthcare -- 8.1 Introduction -- 8.2 Overview of the electronic health record -- 8.2.1 History of the electronic health record -- 8.2.2 Core functions of an electronic health record -- 8.2.3 Electronic health record ontologies and data standards -- 8.3 Clinical decision support -- 8.3.1 Healthcare primed for clinical decision support -- 8.4 Areas of artificial intelligence augmentation for electronic health records -- 8.4.1 Artificial intelligence to improve data entry and extraction -- 8.4.2 Optimizing care -- 8.4.3 Predictions -- 8.4.4 Hospital outcomes -- 8.4.5 Sepsis and infections -- 8.4.6 Oncology -- 8.5 Limitations of artificial intelligence and next steps -- References -- 9 Roles of artificial intelligence in wellness, healthy living, and healthy status sensing -- 9.1 Introduction -- 9.2 Diet -- 9.3 Fitness and physical activity -- 9.4 Sleep -- 9.5 Sexual and reproductive health -- 9.6 Mental health -- 9.7 Behavioral factors -- 9.8 Environmental and social determinants of health -- 9.9 Remote screening tools -- 9.10 Conclusion -- References -- 10 The growing significance of smartphone apps in data-driven clinical decision-making: Challenges and pitfalls -- 10.1 Introduction. 10.2 Distribution of apps in the field of medicine -- 10.3 Distribution of apps over different locations -- 10.4 Reporting applications development approaches -- 10.5 Decision-support modalities -- 10.6 Camera-based apps -- 10.7 Guideline/algorithm applications -- 10.8 Predictive modeling applications -- 10.9 Sensor-linked apps -- 10.10 Discussion -- 10.11 Summary -- References -- 11 Artificial intelligence for pathology -- 11.1 Introduction -- 11.2 Deep neural networks -- 11.2.1 Convolutional neural networks -- 11.2.2 Fully convolutional networks -- 11.2.3 Generative adversarial networks -- 11.2.4 Stacked autoencoders -- 11.2.5 Recurrent neural networks -- 11.3 Deep learning in pathological image analysis -- 11.3.1 Image classification -- 11.3.1.1 Image-level classification -- 11.3.1.2 Object-level classification -- 11.3.2 Object detection -- 11.3.2.1 Detection of particular types of objects -- 11.3.2.2 Detection of objects without category labeling -- 11.3.2.3 Detection of objects with category labeling -- 11.3.3 Image segmentation -- 11.3.3.1 Nucleus/cell segmentation -- 11.3.3.2 Gland segmentation -- 11.3.3.3 Segmentation of other biological structures or tissues -- 11.3.4 Stain normalization -- 11.3.5 Image superresolution -- 11.3.6 Computer-aided diagnosis -- 11.3.7 Others -- 11.4 Summary -- 11.4.1 Open challenges and future directions of deep learning in pathology image analysis -- 11.4.1.1 Quality control -- 11.4.1.2 High image dimension -- 11.4.1.3 Object crowding -- 11.4.1.4 Data annotation issues -- 11.4.1.5 Integration of different types of input data -- 11.4.2 Outlook of clinical adoption of artificial intelligence -- 11.4.2.1 Potential applications -- 11.4.2.2 Barriers to clinical adoption -- 11.4.2.2.1 Lagging adoption of digital pathology -- 11.4.2.2.2 Lack of standards for interfacing AI to clinical systems. 11.4.2.2.3 Regulatory concerns. EBL202103 XX SzGeCERN EBL Artificial intelligence BOOK Giger, Maryellen L Min, James K https://cds.cern.ch/auth.py?r=EBLIB_P_6340276 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757971 BOOK MIGRATED 2757874 SzGeCERN 20210421184054.0 9783319223636 electronic version electronic version 9783319223629 print version oai:cds.cern.ch:2757874 cerncds:BOOK EBL 6301018 eng QA76.9.D3 .A383 2015 005.74 Claramunt, Christophe Advances in spatial and temporal databases 14th international symposium, SSTD 2015, Hong Kong, China, August 26-28, 2015 proceedings Cham Springer International Publishing AG 2015 524 p ebook Lecture notes in computer science 9239 Intro -- Preface -- Organization -- Contents -- Reachability Query and Path Query -- RICC: Fast Reachability Query Processing on Large Spatiotemporal Datasets -- 1 Introduction -- 2 Related Work -- 3 RICC -- 3.1 Preprocessing -- 3.2 Query Processing -- 3.3 Reachability with Transfer Delays -- 4 Experiments -- 4.1 Dataset Description -- 4.2 Parameter Optimization -- 4.3 Preprocessing and Indexing -- 4.4 Query Processing -- 5 Conclusions -- References -- COLD. Revisiting Hub Labels on the Database for Large-Scale Graphs -- 1 Introduction -- 2 Related Work -- 3 Contribution -- 3.1 Implementation -- 4 Experimental Evaluation -- 4.1 Performance on HDD -- 4.2 Performance on SSD -- 4.3 Summary -- 5 Conclusions -- References -- ParetoPrep: Efficient Lower Bounds for Path Skylines and Fast Path Computation -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Multicriteria Lower Bounds -- 3.2 Lower Bounds in Multicriteria Path Search -- 4 Multicriteria Lower Bound Computation -- 4.1 ParetoPrep -- 4.2 Correctness and Termination -- 5 Experiments -- 6 Conclusion -- References -- Reverse Query and Indexing -- Relaxed Reverse Nearest Neighbors Queries -- 1 Introduction -- 1.1 Motivation -- 1.2 Contributions -- 2 Preliminaries -- 2.1 Problem Definition -- 2.2 Related Work -- 3 Pruning Techniques -- 3.1 Challenges -- 3.2 Pruning Using a Facility Point -- 3.3 Pruning Using the Nodes of Facility R*-tree -- 3.4 Implementation of the Pruning Techniques -- 4 Algorithm -- 5 Experiments -- 5.1 Experimental Setup -- 5.2 Evaluating Performance -- 6 Conclusions and Future Work -- References -- Influence-Aware Predictive Density Queries Under Road-Network Constraints -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 Influence-Aware Predictive Density Query Algorithm -- 4.1 Data Structure -- 4.2 Query Algorithm -- 5 Performance Study. 5.1 Effect of Number of Moving Objects -- 5.2 Effect of Cell Density Threshold -- 5.3 Effect of Road Density Threshold -- 5.4 Effect of Cell Size -- 5.5 Effect of Predictive Time Window -- 5.6 Effect of Road Network Topology -- 5.7 Effect of Percentage of Vehicles Equipped with the System -- 6 Conclusion -- References -- Uncertain Voronoi Cell Computation Based on Space Decomposition -- 1 Introduction -- 2 Related Work -- 3 Problem Definition -- 4 Spatial Domination Revisited -- 5 Possible-Voronoi Cell Approximation -- 5.1 Naive Solution -- 5.2 Indexing D -- 5.3 Indexing S -- 5.4 Indexing D and S -- 6 Experiments -- 6.1 Approximation Quality -- 6.2 Algorithmic Runtime -- 6.3 Effect of Data Dimensions -- 6.4 Conclusions -- References -- Navigation and Routing -- Towards Fast and Accurate Solutions to Vehicle Routing in a Large-Scale and Dynamic Environment -- 1 Introduction -- 2 Problem Definition -- 3 Proposed Algorithm -- 3.1 Local Search Based Approach -- 3.2 Baseline Approach: RTR -- 3.3 Spatial-Search-Based Local Search Framework -- 3.4 Adaptive Point and Operator Selection -- 3.5 Eliminating Data-Preparation -- 4 Experimental Evaluation -- 4.1 Experimental Settings -- 4.2 Comparisons of Different Algorithms -- 4.3 Effect of Neighbor Size -- 4.4 Effect of Adaptive Delivery Location Selection -- 4.5 Effect of Adaptive Operator Selection -- 5 Related Work -- 6 Conclusion -- References -- Oriented Online Route Recommendation for Spatial Crowdsourcing Task Workers -- 1 Introduction -- 2 Problem Statement -- 3 Online Route Recommendation -- 3.1 Competitive Analysis -- 3.2 Greedy Task Approach -- 3.3 Complete Search for Route Approach -- 4 Optimization for SnapshotRR -- 4.1 Forward Search and Backward Search -- 4.2 Route Join -- 5 Experiment -- 5.1 Experimental Setting -- 5.2 An Experiment on Real Datasets. 5.3 Scalability Experiments on Synthetic Datasets -- 6 Related Work -- 7 Conclusion -- References -- Knowledge-Enriched Route Computation -- 1 Introduction -- 2 Pre-processing: Spatial Relation Extraction and Modeling -- 2.1 Spatial Relation Extraction from Texts -- 2.2 Modeling Spatial Relations -- 3 Road Network Enrichment -- 3.1 From Relationship to Weighted Graphs -- 3.2 From Weighted Graphs to Road Network Enrichment -- 3.3 Influence of Adjusted Costs -- 4 Path Computation on Enriched Graphs -- 5 Experimental Evaluation -- 5.1 Enrichment Ratio, Distance and Popularity Evaluation -- 6 Related Work -- 7 Conclusions and Outlook -- References -- Trajectory Analysis -- Efficient Point-Based Trajectory Search -- 1 Introduction -- 2 Problem Definition -- 3 Distance-Based Trajectory Search -- 3.1 Existing Methods -- 3.2 A Hybrid NN-based Approach -- 3.3 A Spatial Range-Based Approach -- 4 Bounded Distance-Based Trajectory Search -- 5 Discussion -- 6 Experimental Analysis -- 6.1 Setup -- 6.2 Distance-Based Trajectory Search -- 6.3 Bounded Distance-Based Trajectory Search -- 6.4 Distance and Span-Based Trajectory Search -- 7 Related Work -- 8 Conclusions -- References -- Visibility Color Map for a Fixed or Moving Target in Spatial Databases -- 1 Introduction -- 2 Related Works -- 2.1 Visibility in Computational Geometry and Computer Graphics -- 2.2 Visibility in Urban Planning and Architecture -- 2.3 Visibility in Spatial Queries -- 3 Problem Formulation -- 4 Preliminaries -- 4.1 Factors Affecting Visibility Color -- 4.2 Partitioning into Cells -- 5 A Straightforward Approach -- 6 Our Approach -- 6.1 Determining PVS -- 6.2 Determining Visibility State of a Point -- 6.3 Visibility State of a Target -- 6.4 VCM for a Fixed Target -- 6.5 VCM for a Moving Target -- 7 Experimental Evaluation -- 7.1 Experimental Setup -- 7.2 Performance Evaluation. 7.3 Performance for Fixed Target -- 7.4 Performance for Moving Target -- 8 Conclusion -- References -- Speed Partitioning for Indexing Moving Objects -- 1 Introduction -- 2 Related Work -- 2.1 The TPR/TPR-tree -- 2.2 The B-tree -- 2.3 Velocity-Based Partitioning -- 3 The Optimization Problem -- 3.1 Search Space Expansion -- 3.2 The Optimal Speed Partitioning -- 4 The Partitioned Indexing System -- 4.1 The Optimal Speed Partitioning -- 4.2 Index Update -- 4.3 Query Processing -- 5 Experimental Study -- 5.1 Datasets -- 5.2 Experimental Results -- 6 Conclusions and Future Work -- References -- Spatio-Temporal Approaches -- Using Lowly Correlated Time Series to Recover Missing Values in Time Series: A Comparison Between SVD and CD -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Notation -- 3.2 Background -- 3.3 Matrix Decomposition -- 4 Decomposition Comparison -- 4.1 Recovery Process -- 4.2 SVD Recovery -- 4.3 CD Recovery -- 4.4 Complexity -- 5 Experiments -- 5.1 Recovery Using Real World TS -- 5.2 Recovery Using Synthetic TS -- 5.3 Comparison with SGD Based Recovery -- 5.4 Approximation Accuracy -- 5.5 Number of Iterations of CD -- 6 Conclusion -- References -- Minimal Spatio-Temporal Database Repairs -- 1 Introduction -- 2 Related Work -- 3 Problem Definition -- 3.1 Spatio-Temporal Constraints -- 3.2 Database Repair Rules -- 3.3 Quality of a Repair -- 4 Complexity Analysis -- 5 Algorithms -- 5.1 Component Specifications -- 5.2 Generate Database Repairs -- 6 Experiments -- 6.1 Collision Detection -- 6.2 Run Time -- 6.3 Experiments on Quality of Repair -- 7 Conclusions -- References -- A Spatio-Temporally Opportunistic Approach to Best-Start-Time Lagrangian Shortest Path -- 1 Introduction -- 2 Problem Definition and Basic Concepts -- 3 A Spatio-Temporally Opportunistic Algorithm -- 4 Analysis of the Algorithm -- 4.1 Correctness. 4.2 Complexity -- 5 Experimental Evaluation -- 5.1 Experiment Setup -- 5.2 Experiment Results -- 6 Discussion -- 6.1 Temporally-Expanded Priority Queues -- 7 Conclusion and Future Work -- References -- Privacy and Matching -- Combining Differential Privacy and PIR for Efficient Strong Location Privacy -- 1 Introduction -- 2 Related Work -- 2.1 -Differential Privacy -- 2.2 Location Privacy for kNN Queries -- 3 Adaptive Query Plan -- 3.1 Query Stage -- 3.2 Re-Computation Stage -- 3.3 Correctness and Utility Analysis -- 4 Experimental Evaluation -- 5 Conclusion -- References -- Privacy-Preserving Detection of Anomalous Phenomena in Crowdsourced Environmental Sensing -- 1 Introduction -- 2 Background -- 2.1 Differential Privacy -- 2.2 Private Spatial Decompositions (PSD) -- 3 System Model and Evaluation Metrics -- 4 PSD for Anomalous Phenomenon Detection -- 5 PSD Processing and Heatmap Construction -- 6 Experiments -- 7 Related Work -- 8 Conclusions -- References -- Efficient Top-k Subscription Matching for Location-Aware Publish/Subscribe -- 1 Introduction -- 2 Related Work -- 2.1 Ranked Pub/Sub Systems -- 2.2 Location-Aware Pub/Sub Systems -- 3 Problem Formalization -- 3.1 Data Model -- 3.2 Problem Definition -- 4 Baseline Solution -- 5 RI-tree Based Solution -- 5.1 RI-tree Index Structure -- 5.2 Matching -- 6 Evaluation -- 6.1 Experimental Setup -- 6.2 Experimental Results and Analyses -- 7 Conclusions -- References -- Similarity Search and Pattern -- Spatiotemporal Similarity Search in 3D Motion Capture Gesture Streams -- 1 Introduction -- 2 Related Work -- 3 Gesture Signatures -- 4 Gesture Matching Distance -- 5 Query Processing in 3D Motion Capture Data -- 6 Experimental Evaluation -- 7 Conclusions and Future Work -- References -- A Progressive Approach for Similarity Search on Matrix -- 1 Introduction -- 2 Preliminaries -- 2.1 Problem Definition. 2.2 Background: Prefix-Sum Matrix and Basic Lower Bound Functions. EBL202103 XX SzGeCERN BOOK Schneider, Markus Wong, Raymond Chi-Wing Xiong, Li Loh, Woong-Kee Shahabi, Cyrus Li, Ki-Joune https://cds.cern.ch/auth.py?r=EBLIB_P_6301018 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2757874 BOOK MIGRATED 2757851 SzGeCERN 20210421184056.0 9783642271724 electronic version electronic version 9783642271717 print version oai:cds.cern.ch:2757851 cerncds:BOOK EBL 6300921 eng QA76.618 .S937 2011 005.1 Panigrahi, Bijaya Ketan Swarm, evolutionary, and memetic computing second international conference, SEMCCO 2011, Visakhapatnam, India, December 19-21, 2011, proceedings, part I Berlin Springer 2011 775 p ebook Lecture notes in computer science 7076 Intro -- Title page -- Preface -- Organization -- Table of Contents -- Design of Two-Channel Quadrature Mirror Filter Banks Using Differential Evolution with Global and Local Neighborhoods -- Introduction -- Formulation of Design Problems -- DE with Global and Local Neighborhoods (DEGL) -- Control Parameters in DEGL -- Random Weight Factor -- Advantage of Random Weight Factor -- Design Problems -- Parameter Initializations -- Problem Examples -- Discussion of Results -- Conclusions -- References -- Differential Evolution with Modified Mutation Strategy for Solving Global Optimization Problems -- Introduction -- Basic DE -- Proposed Modified DE (MDE) -- Pseudo Code for MDE -- Numerical Simulation and Comparisons -- Experimental Setting -- Performance Criteria -- Simulated Results -- Conclusions -- References -- Self-adaptive Cluster-Based Differential Evolution with an External Archive for Dynamic Optimization Problems -- Introduction -- Differential Evolution (DE) Algorithm -- Mutation -- Cross-Over -- Selection Operation -- Proposed Algorithm: SACDEEA -- Initialization -- Cluster Improvements -- Performance Evaluation and Redistribution -- Detection of Environmental Change and External Archive -- Experimental Results -- Test Problems -- Parameter Settings -- Conclusion -- References -- An Informative Differential Evolution with Self Adaptive Re-clustering Technique -- Introduction -- Related Research Works -- Differential Evolution (DE) Algorithm -- Mutation -- Cross-Over -- Selection Operation -- Proposed Algorithm -- Initialization -- Information Exchange among Clusters -- Local Search Technique -- Parameters -- Experimental Results -- Conclusion -- References -- Differential Evolution for Optimizing the Hybrid Filter Combination in Image Edge Enhancement -- Introduction -- Hybrid Filters and Differential Evolution Algorithm -- Hybrid Filters. Differential Evolution -- Framework -- Initialization of Population -- Using Differential Evolution for Finding Optimal Hybrid Filter Combination -- Experimentations and Results -- Observation Tables -- Conclusion and Future Work -- References -- Scheduling Flexible Assembly Lines Using Differential Evolution -- Introduction -- Differential Evolution -- Problem Formulation -- Objective Function -- Assumptions -- Constraints -- DE Algorithm for FAL Scheduling Problem -- Representation -- Algorithm -- Results and Discussion -- Conclusion -- References -- A Differential Evolution Based Approach for Multilevel Image Segmentation Using Minimum Cross Entropy Thresholding -- Introduction -- Minimum Cross Entropy Thresholding -- Recursive MCET -- Differential Evolution (DE) -- Experimental Results -- Conclusion -- References -- Tuning of Power System Stabilizer Employing Differential Evolution Optimization Algorithm -- Introduction -- System Under Study -- The Proposed Approach -- Structure of the Power System Stabilizer -- Problem Formulation -- Overview of Differential Evolution Optimization Algorithm -- Inilization -- Mutation -- Crossover -- Selection -- Results and Discussions -- Application of DE -- Simulation Results -- Conclusion -- References -- Logistic Map Adaptive Differential Evolution for Optimal Capacitor Placement and Sizing -- Introduction -- Problem Formulation -- Overview of Differential Evolution -- Initialization -- Mutation Operation -- Crossover Operation -- Selection Operation -- Hybrid Differential Evolution Using Chaos Theory -- Structure of Solutions -- Simulation Results -- Conclusions -- References -- Application of an Improved Generalized Differential Evolution Algorithm to Multi-objective Optimization Problems -- Introduction -- Multi-objective Differential Evolution -- Implementation of I-GDE3 Algorithm -- I-GDE3 Algorithm. Simulation Results -- Standard Test Problems -- Implementation of I-GDE3 to RPP Problem -- Conclusion -- References -- Enhanced Discrete Differential Evolution to Determine Optimal Coordination of Directional Overcurrent Relays in a Power System -- Introduction -- Problem Formulation -- Relay Characteristics -- Relay Setting -- Coordination Criteria -- Enhanced Differential Evolution -- Mutation Operation -- Crossover Operation -- Selection Operation -- Enhanced Discrete DE -- Simulation Results -- System Data -- Implementation of Enhanced Discrete Differential Evolution -- Conclusion -- References -- Dynamic Thinning of Antenna Array Using Differential Evolution Algorithm -- Introduction -- Objective Function -- Overview of Differential Evolution -- Initialization -- Mutation -- Crossover -- Selection -- Application of Differential Evolution to Dynamic Array Thinning -- Dynamic Array Thinning -- Zoning Technique -- Parameter Values Used for the Experiment -- Experimental Results -- Conclusion -- References -- A Quantized Invasive Weed Optimization Based Antenna Array Synthesis with Digital Phase Control -- Introduction -- Digital Phase Antenna Array -- IWO and Its Proposed Modification -- Classical IWO -- The Quantized IWO -- Experiments and Results -- Minimum SLL Optimization -- Conclusion -- References -- Optimal Power Flow for Indian 75 Bus System Using Differential Evolution -- Introduction -- Optimal Power Flow (OPF) Problem Formulation -- Objective Functions -- OPF Problem Constraints [8] -- Overview of Differential Evolution -- Initialization -- Mutation -- Crossover -- Selection -- Hybridized D.E and I.W.O with Population Exchange -- Parameter Values Used for the Experiment -- Results of the Algorithm Implementation -- Conclusions -- References. A Modified Differential Evolution Algorithm Applied to Challenging Benchmark Problems of Dynamic Optimization -- Introduction -- Overview of Differential Evolution -- The pDEBQ Algorithm -- Partial DE Scheme -- Double Mutation Strategy -- Exclusion Rule -- Ageing Mechanism -- Control Parameter -- Experimental Settings -- Parameter Settings -- Experimental Results -- Conclusion -- References -- PSO Based Memetic Algorithm for Unimodal and Multimodal Function Optimization -- Introduction -- Memetic Algorithm with GA and PSO as Local Search -- Experimentation -- Discussion -- Conclusion -- References -- Comparison of PSO Tuned Feedback Linearisation Controller (FBLC) and PI Controller for UPFC to Enhance Transient Stability -- Introduction -- Transient Stability -- Modeling of UPFC -- UPFC Installed in SMIB System -- Modeling of Shunt Converter -- Modeling of Series Converter -- Particle Swarm Optimisation -- FBLC for UPFC -- Simulation Results -- CASE-I -- CASE-II -- Conclusion -- References -- A Nelder-Mead PSO Based Approach to Optimal Capacitor Placement in Radial Distribution System -- Introduction -- PSO and NM-PSO -- Method 1: Particle Swarm Optimization (PSO) -- Method 2: Nelder-Mead Particle Swarm Optimization (NM-PSO) -- Bus Sensitivity -- Problem Formulation -- Operating Constraints -- Results and Discussions -- Candidate Bus Selection -- Capacitor Placement at Buses -- Conclusion -- References -- Comparative Performance Study of Genetic Algorithm and Particle Swarm Optimization Applied on Off-grid Renewable Hybrid Energy System -- Introduction -- Hybrid Test System Model -- System Costs and Objective Function -- Optimization Methods -- Particle Swarm Optimization -- Genetic Algorithm -- Simulated Results and Comparative Study -- Conclusion -- References -- An Efficient Algorithm for Multi-focus Image Fusion Using PSO-ICA -- Introduction. Independent Component Analysis -- Particle Swarm Optimization -- Proposed PSO-ICA Algorithm for Multi-focus Image Fusion -- Simulation Results -- Conclusion -- References -- Economic Emission OPF Using Hybrid GA-Particle Swarm Optimization -- Introduction -- Problem Statement -- Proposed Hybrid GA Particle Swarm Optimization -- PSO Implementation -- Problem Representation -- Evaluation Function -- Simulation Results -- Conclusion -- References -- Application of Improved PSO Technique for Short Term Hydrothermal Generation Scheduling of Power System -- Introduction -- Problem Formulation -- Objective Function -- Particle Swarm Optimization -- Proposed PSO Algorithm for Hydrothermal Scheduling -- Test System and Results -- Conclusion -- References -- Multi-objective Workflow Grid Scheduling Based on Discrete Particle Swarm Optimization -- Introduction -- Problem Definition: Workflow Grid Scheduling -- Discrete Particle Swarm Optimization for Workflow Grid Scheduling -- Multi Objective Optimization Algorithm Used -- Simulation Results and Discussion -- Performance Evaluation: GD, Spacing -- Conclusion and Future Work -- References -- Solution of Economic Load Dispatch Problem Using Lbest-Particle Swarm Optimization with Dynamically Varying Sub-swarms -- Introduction -- Problem Description -- ELD Formulation with Smooth Cost Function -- ELD Formulation with Non-smooth Cost Function -- An Overview of PSO Algorithm -- Lbest-PSO with Dynamically Varying Sub-swarms -- Results and Discussions -- Six Unit System -- Fifteen Unit System -- Forty Unit System -- Conclusion -- References -- Modified Local Neighborhood Based Niching Particle Swarm Optimization for Multimodal Function Optimization -- Introduction -- Niching Related Works -- Crowding and Restricted Tournament Selection -- Sharing and Clustering -- Clearing -- Speciation. Overview of the Proposed ML-NichePSO Algorithm. EBL202103 XX SzGeCERN BOOK Suganthan, Ponnuthurai Nagaratnam Das, Swagatam Satapathy, Suresh Chandra https://cds.cern.ch/auth.py?r=EBLIB_P_6300921 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2757851 BOOK MIGRATED 2757850 SzGeCERN 20210421184056.0 9783319586373 electronic version electronic version 9783319586366 print version oai:cds.cern.ch:2757850 cerncds:BOOK EBL 6300920 eng QA76.9.H85 .D475 2017 004.6 Marcus, Aaron Design, user experience, and usability 6th international conference, DUXU 2017, held as part of HCI international 2017, Vancouver, BC, Canada, July 9-14, 2017, proceedings, part II Cham Springer International Publishing AG 2017 772 p ebook Lecture notes in computer science 10289 Intro -- Foreword -- HCI International 2017 Thematic Areas and Affiliated Conferences -- Contents - Part II -- Contents - Part III -- Contents - Part I -- Persuasive and Emotional Design -- Mix and Match: Designing an Installation for Music Festivals Aiming to Increase Social Sustainability -- Abstract -- 1 Introduction -- 2 Theoretical Framework -- 2.1 Liminoid Environments and Communal Experiences -- 2.2 Social Capital and Social Identity -- 2.3 Festivals as a Setting for New Experiences -- 3 Background -- 4 Methods -- 5 Design and Implementation -- 6 Evaluation -- 6.1 Preferences Regarding the Two Layouts -- 6.2 Collaboration for Recreating the Mix that Sounded Nice -- 6.3 Other Observations -- 7 Discussion and Conclusion -- References -- Explore the Categories on Different Emotional Branding Experience for Optimising the Brand Design Pr ... -- Abstract -- 1 Introduction -- 2 The Development of Emotion Bonding to Brands -- 2.1 Emotion in Visual Communication -- 2.2 Elaboration Likelihood Model -- 2.3 Persuasion and Motivation -- 3 The New Perspective on the Types of Emotional Branding: 4 Types of Emotional Branding -- 3.1 Personalities-Driven Emotional Brand -- 3.2 Appeal-Driven Emotional Brand -- 3.3 Sensory-Driven Emotional Brand -- 3.4 Navigation-Driven Emotional Brand -- 4 A Field Experiment on the Effectiveness of Emotional Branding Experience Optimising the Brand Desi ... -- 4.1 Research Process -- 4.2 Research Result -- 5 Discussion on the Findings -- 5.1 Informed Use of Shapes -- 5.2 The Language of Colors -- 5.3 The Emotion of Typefaces -- 6 Conclusion -- References -- Guiding Human Behavior Through Alternate Reality Experience -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Enhancing the Meaning of the Real Space -- 4 Alternative Reality -- 5 Experiences Conducting a Workshop -- 6 Lessens Learned -- 7 Conclusion -- References. A Quality Table-Based Method for Sentiment Expression Word Identification in Japanese -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Technics and Method -- 3.1 Quality Table -- 3.2 SMOTE Algorithm -- 3.3 Pointwise Mutual Information -- 3.4 Proposed Method -- 4 Results -- 4.1 Pre-experiment -- 4.2 Experiment -- 4.3 Evaluation of Experiment -- 4.4 Verification of Coverage -- 5 Discussion -- 6 Conclusion and Future Work -- Acknowledgments -- References -- EcoTrips -- Abstract -- 1 Introduction -- 2 Review of Green Travel Eco-Feedback Apps -- 3 EcoTrips -- 3.1 Development -- 3.2 Design -- 4 Field Study Methodology -- 4.1 Procedure -- 4.2 Participants -- 5 Field Study Results -- 5.1 Travel Behavior -- 5.2 Awareness of Consequences -- 5.3 Environmental Attitudes -- 6 Opportunities for Improving EcoTrips -- 7 Discussion and Conclusion -- References -- Publicly Available Green Travel Apps -- Experience, Usability and Sense of Things -- Abstract -- 1 Introduction: Third Wave of Computing -- 2 Making Sense of Objects Through Its Use -- 3 From Using Isolated Devices to a Pervasive Experience -- 4 Conclusion -- References -- GreenFLY -- Abstract -- 1 Introduction -- 2 Prior Work -- 2.1 Transportation Carbon Calculators and Eco-Feedback Apps -- 2.2 Economic Valuation of Air Travel Carbon Offsets -- 2.3 Integrating CO2 Estimates into Flight Search Tools -- 3 GreenFLY -- 3.1 Design -- 3.2 Flight Search Engine -- 3.3 Flight Emissions Calculator -- 3.4 Software Design -- 4 Experiment -- 4.1 Methodology -- 4.2 Analysis and Results -- 5 Discussion -- References -- Electric Vehicle Explorer -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Website Development and Design -- 2.2 Online Experiment -- 3 Results and Discussion -- 3.1 Education -- 3.2 Persuasion -- 3.3 Relationships Between Knowledge, Attitude, and Intention. 3.4 Participant Characteristics Related to Outcomes -- 3.5 Use of Website Features and Relationship to Outcomes -- 3.6 Limitations and Future Research -- 4 Conclusion -- References -- Data Sources for EV Explorer -- Electric Vehicle Energy Cost Calculators -- Beyond Hedonic Enjoyment: Conceptualizing Eudaimonic Motivation for Personal Informatics Technology Usage -- Abstract -- 1 Introduction -- 2 Theoretical Background -- 2.1 Intrinsic Motivation -- 2.2 Conceptualizing Eudaimonic Motivation -- 3 Modeling Aesthetic Experience as a Determinant for PIT Usage -- 4 Scale Development -- 4.1 Domain Specification -- 4.2 Item Generation -- 4.3 Scale Evaluation -- 5 Full-Scale Field Study -- 5.1 Model Testing -- 5.1.1 Measurement Model -- 5.1.2 Structural Model -- 6 Discussion -- 6.1 Implications for Research -- 6.2 Implications for Practices -- 6.3 Limitations and Future Research -- 7 Conclusion -- Acknowledgement -- Appendix A. Measurement Items -- References -- A Suggestion to Improve User-Friendliness Based on Monitoring Computer User's Emotions -- Abstract -- 1 Introduction -- 2 Emotional Response from a Computer -- 2.1 Constant Measurement of User's Emotion -- 2.2 Use of a GSR Sensor to Check User's Emotional Change -- 2.3 Use of Arduino and Smartphone to Simulate Monitoring Body Signal Change -- 3 Conclusions -- References -- EMOVLE: An Interface Design Guide -- 1 Introduction -- 2 EMOVLE Guide Construction -- 2.1 Constructs -- 2.2 Guidelines -- 2.3 Techniques -- 3 Application of the EMOVLE Guide -- 4 Development of Non-functional Prototypes -- 4.1 Selection of Participants -- 4.2 Prototyping Process -- 4.3 Obtained Prototypes -- 5 Validation of the EMOVLE Guide -- 5.1 EMOVLE Guide Evaluation - First Approach -- 5.2 EMOVLE Guide Evaluation - Second Approach -- 6 Conclusions -- 7 Recommendations -- 8 Future Work -- References. Auditory User Interface Guideline for Emotional User Experience -- Abstract -- 1 Research Background and Purpose -- 2 Related Work -- 3 User Research -- 4 Result -- 5 Conclusion and Future Work -- Acknowledgments -- References -- Reassurance Experience Design for "Financial Planning Users" -- Abstract -- 1 Introduction -- 2 Design for Internet Finance Assurance Experience -- 2.1 The Reassurance Experience Design in the Process of Gaining Information -- 2.2 The Reassurance Experience Design in the Information Operation -- 3 Innovation and Caution of Reassurance Experience of Internet Finance -- 3.1 Respect the Habits of Users, Keep Awe of the Industry Regulations -- 3.2 Use Internet Technology to Make Reassurance Experience Innovation -- 4 Conclusion -- Reference -- Mobile DUXU -- Towards Designing Mobile Banking User Interfaces for Novice Users -- Abstract -- 1 Introduction -- 1.1 The World Wide Web Consortium (W3C) -- 1.2 Usability -- 2 Research Recommendations Established Thus Far for Designing Usable UI's for Low Literate and Novic ... -- 2.1 Challenges Encountered by Novice Users in the Ethnographic Study -- 2.2 Synthesized Design Recommendations -- 3 Research Method -- 3.1 Exploration for Novice Centered Design Recommendations and Development of Prototype -- 3.2 Simulated Functionalities -- 3.3 Recruiting Suitable Users -- 3.4 Introducing Users to the Research Work -- 3.5 Interaction Phase -- 3.6 Data Analysis and Method -- 3.7 Paired T-Test -- 3.8 Exploring for User Constraints Before the Comparative Study -- 4 Result -- 4.1 Group 1 (ABank Against BBank) -- 4.2 Group 2 (CBank Againt BBank) -- 4.3 Group 3 (DBank Againt BBank) -- 4.4 Exploring for More Novice Centered Usability Constraints -- 5 Discussion -- 6 Conclusion -- References -- Feasibility of Utilizing E-Mental Health with Mobile APP Interface for Social Support Enhencement: A ... Abstract -- 1 Introduction -- 1.1 Postpartum Depression -- 1.2 Social Support -- 1.3 E-Mental Health -- 1.4 Purpose of Research -- 2 Methods -- 2.1 Design -- 2.2 Participants -- 2.3 Assessments -- 2.4 Data Analysis -- 3 Results and Discussion -- 3.1 Demographic Characteristics -- 3.2 Prevalence of PPD -- 3.3 Social Support and PPD -- 3.4 Reception for EMH and Smartphone APP as EMH Interface -- 3.5 Limitations -- 4 Conclusion -- Acknowledgments -- References -- Exploring the Interaction Between Visual Flux and Users on Mobile Devices -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 User Posture Capture -- 3.2 Mobile Application -- 3.3 Physical Interaction Reconstruction System -- 3.4 Experimental Procedure -- 4 Result -- 5 Discussion -- Acknowledgements -- References -- New Mobile Service Development Process -- 1 Introduction -- 2 Basic Idea -- 3 Overview on the InIT Service Design Process (ISDP) -- 4 Application of the InIT Service Design Process to the MOSAFA Service -- 4.1 Customer &amp -- Context Analysis -- 4.2 Service Innovation -- 4.3 Service Design &amp -- Prototyping and Service Evaluation -- 4.4 Service Implementation -- 5 Conclusion -- References -- Designing User Experiences of Novel Technologies -- Abstract -- 1 Introduction -- 2 Background -- 3 Smartphone-Signage Collaboration Technology -- 4 User Behavior Model -- 5 Experiments: Behavior Observation -- 6 Analyses -- 6.1 Attention -- 6.2 Interest and Desire -- 6.3 Action -- 7 Discussion -- 8 Conclusion -- Acknowledgements -- References -- Do Car Drivers Really Need Mobile Parking Payment? -- Abstract -- 1 Introduction -- 1.1 Smart City and Smart Services -- 1.2 Barcelona -- 1.3 apparkB -- 2 Methods -- 2.1 Theoretical Model Framework -- 2.2 Practical Framework -- 3 Results -- 3.1 Perceived Smartness of Barcelona (RQ1) -- 3.2 Usage of apparkB (RQ2). 3.3 Correlations Between apparkB's Perceived Quality, Acceptance and Users' Characteristics (RQ3). EBL202103 XX SzGeCERN BOOK Wang, Wentao https://cds.cern.ch/auth.py?r=EBLIB_P_6300920 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757850 BOOK MIGRATED 2757848 SzGeCERN 20210421184056.0 9780230511996 electronic version electronic version 9780333962701 print version oai:cds.cern.ch:2757848 cerncds:BOOK EBL 6300908 eng HD60 .M356 2003 658.408 McIntosh, M Raising a ladder to the moon the complexities of corporate social and environmental responsibility London Palgrave Macmillan 2003 155 p ebook Cover -- Raising a Ladder to the Moon -- CONTENTS -- FIGURES -- First Words -- PREFACE: The Complexities of Corporate Responsibility -- Introduction Chocolate, Reindeer and Hiroshima -- Chapter 1 The Complexity of People, Planet and Corporate Responsibility -- Chapter 2 The Ecology of Corporate Citizenship -- Chapter 3 Sustainability -- Chapter 4 Corporate Responsibility, Synchronicity and Complexity -- Chapter 5 The Complex Business of Corporate Responsibility -- Chapter 6 Modelling Corporate Responsibility Situations -- Acknowledgements -- Notes -- Index. EBL202103 XX SzGeCERN EBL Social responsibility of business EBL Corporate culture BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6300908 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2757848 BOOK MIGRATED 2757832 SzGeCERN 20210421184057.0 9783319444475 electronic version electronic version 9783319444468 print version oai:cds.cern.ch:2757832 cerncds:BOOK EBL 6300804 eng T58.5 .I28 2016 004 Mata, Francisco J ICT for promoting human development and protecting the environment 6th IFIP world information technology forum, WITFOR 2016, San José, Costa Rica, September 12-14, 2016, proceedings Cham Springer International Publishing AG 2016 250 p ebook IFIP advances in information and communication technology 481 Intro -- Foreword -- Preface -- Conference Chairs -- Contents -- Environment and Sustainable Development -- The Role of ICT to Achieve the UN Sustainable Development Goals (SDG) -- 1 Introduction -- 2 Role Models Within Computer Societies on Direct or Indirect Initiatives Toward SDGs -- 3 Possible Contribution of ICT to the SDGs -- 3.1 Joint Proposal of ICT Indicators for the Sustainable Development Goals Indicator Framework -- 3.2 Towards a Compliant ICT-working Effort for SDGs -- 4 Conclusion and Future Work -- References -- Principles for Re-Designing Information Systems for Environmental Sustainability -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Information Systems and Environmental Sustainability -- 2.2 Systems and Their Environment -- 2.3 Systems and Their Design -- 3 Three Problems with the Current Conception of Green IS -- 4 A New Design Theory for Green IS -- 4.1 An Illustrative Empirical Case -- 4.2 What Must Green IS Do and How? -- 4.3 How Should Green IS Be Designed? -- 5 Conclusion -- References -- Automated Plant Species Identification: Challenges and Opportunities -- 1 Introduction -- 2 Automated Taxon Identification in Systematics -- 2.1 Single-Access Keys -- 2.2 Multiple-access Keys -- 2.3 Morphometric Approaches -- 2.4 DNA Barcoding -- 2.5 Crowd Sourcing (Collective Intelligence) -- 2.6 Computer Vision and Machine Learning -- 3 Automated Leaf-Based Plant Species Identification -- 3.1 Data Acquisition -- 3.2 Leaf Segmentation -- 3.3 Feature Extraction and Identification -- 4 Challenges and Opportunities -- References -- Environment Monitoring Using Commercial Off-the-Shelf (COTS) Technologies -- Abstract -- 1 Introduction -- 2 Commercial Off-the-Shelf (COTS) Technologies -- 3 Environmental COTS -- 4 Pollution in Delhi -- 5 Odd-Even Experiment in Delhi: Using COTS for Measuring Pollution. 6 Observations from Our Experiment -- 7 Findings from Our Experiment -- 8 Suggestions -- 9 COTS and Environmental Sector Start-Ups -- References -- Education -- Challenge to Promote Deep Understanding in ICT -- Abstract -- 1 Introduction -- 2 Some Statistics and the Methodology -- 3 From an ICT User to a Creative Thinker Beyond Technology -- 4 How Girls Have Solved the Bebras Tasks -- 5 Future Works -- References -- Computer Animation as a Vehicle for Teaching Computational Thinking -- Abstract -- 1 Introduction -- 2 Animation Patterns vs. Programming Structures -- 2.1 Animation Patterns -- 2.2 Programming Structures Through Animation Patterns -- 3 Value of Computer Animation Skills -- 4 Attractiveness of Computer Animation -- 4.1 Alice Styles of Use -- 4.2 A Reflection on Styles of Use and Computer Animation -- 5 Conclusions -- References -- Transforming Low Socioeconomic Status Schools to Learning for Well-Being Schools -- Abstract -- 1 Introduction -- 2 Complexity Theory -- 3 Methodology -- 4 Data Analysis -- 4.1 Fact-Finding from the Field -- 4.2 Fact-Finding from the Literature -- 5 Conclusion -- References -- Transformative Applications of ICT in Education: The Case of Botswana Expansive School Transformatio ... -- Abstract -- 1 Introduction -- 1.1 Objectives of Study -- 2 Theoretical Frameworks -- 3 Methodology -- 3.1 Ethnography and Qualitative Research Strategy -- 3.2 Data Collection -- 4 Outcomes of CL Intervention and Lessons Learned -- 5 Summary Findings, Conclusion and Recommendations -- 5.1 Mahupu School -- 5.2 Malefi Senior Secondary -- 5.3 Mater Spei College -- 6 Conclusion and Recommendations -- 6.1 Recommendations -- References -- Health -- Identification of Design Patterns for Serious Games in an Educational Videogame Designed to Create A ... -- Abstract -- 1 Introduction: Creating Fun and Educational Experiences. 2 Design Patterns -- 3 Pattern Identification -- 3.1 Context -- 3.1.1 Pattern A: When Do You Need to Combine Entertainment and Education? -- 3.2 Learning Aspects -- 3.2.1 Pattern B: How to Make Interaction Instructive? -- 3.2.2 Pattern C: How to Initiate the Reflective Process? -- 3.3 Fun Aspects -- 3.3.1 Pattern E: How to Motivate Users? -- 4 Results and Analysis -- 5 Conclusions -- Acknowledgments -- References -- A Community Assets Infrastructure for the Secure Use of Mobile Computing Devices in the Rural Health ... -- Abstract -- 1 Introduction -- 2 Background: Mobility in the Workplace -- 3 Health Information Security -- 4 Defining IT Assets -- 5 Theoretical Grounding -- 5.1 Theory of Salutogenesis -- 6 Methodology -- 6.1 Methodology Bias -- 6.2 Data Analysis -- 7 Results -- 7.1 Day-to-Day Activities -- 7.2 Training and Awareness -- 7.3 Device and Information Security -- 7.4 Asset Mapping -- 7.5 Asset Indicators -- 8 Discussion -- 9 Conclusion -- 10 Limitations and Future Work -- References -- Digital Equity -- Progressing Toward Digital Equity -- Abstract -- 1 Introduction -- 2 Concept of Digital Equity -- 2.1 What Is Digital Equity? -- 2.2 The Five Dimensions of Digital Equity -- 2.3 Digital Divide Impacts -- 3 Relation Between Digital Equity and the ITU-WSIS Action Lines -- 3.1 WSIS Action Lines -- 3.2 Relation Between WSIS and Digital Equity -- 4 ITU-WSIS Action Lines and the UN Sustainable Development Goals -- 4.1 UN Sustainable Development Goals (SDG) -- 4.2 Relations Between the UN SDG and the WSIS Action Lines -- 5 Digital Equity in Different Groups or Environments -- 5.1 Situation of Digital Equity in Developed and Developing Countries -- 5.2 Contribution of IFIP to Digital Equity -- 6 Conclusions -- References -- Telecenters for the Future in Tea Estates of Sri Lanka -- Abstract -- 1 Introduction -- 1.1 About the Telecenter Movement. 1.2 Context of the Study: Tea Estate Areas in Sri Lanka -- 1.3 Research Problem and Question -- 2 Method -- 3 Findings: Present-Day Tea Estate Telecenters -- 3.1 Nenasala Telecenters -- 3.2 Prajashakthi e-Kiosks -- 3.3 Attitudes Towards and Use of Telecenters -- 4 Discussion -- 5 Conclusions and Future Research -- References -- Mobile Internet Tariff Models: Technical or Political Decisions? A Costa Rican Case Study -- Abstract -- 1 Introduction -- 2 Defining the Problem -- 3 Antecedents: What Has Happened in Other Countries? -- 4 Theoretical Framework -- 5 Methodology -- 6 Analysis -- 6.1 Telecommunications Infrastructure -- 6.2 Local Market Conditions -- 6.3 Social Implications -- 6.4 The Role of the Government -- 6.5 Causes for the Rejection of the Current Proposal -- 7 Conclusions -- References -- guifi.net: A Bottom-up Initiative for Building Free Telecommunication Infrastructure -- Abstract -- 1 Introduction -- 2 Motivation -- 3 What guifi.net Is? -- 3.1 Network Funding -- 3.2 Network Technology -- 3.3 Network Organization -- 4 How Does It Work? -- 5 How to Join guifi.net Community -- 6 How to Collaborate in the Guifi.net Project? -- 7 Other Community Networks -- 8 Conclusions -- Acknowledgments -- References -- Gender -- Typifying Mechanisms for Gender Digital Equity in Latin America -- Abstract -- 1 Introduction -- 2 General Gender Gaps in the Region -- 3 Digital Divide in Latin America and the Caribbean -- 4 Gender Digital Divide -- 5 Towards Gender Equity: Types of Projects -- 6 Typifying Mechanisms for Reaching Gender Digital Equity -- 7 Recommendations and Conclusions -- References -- Women in ICT: Opportunities for Their Inclusion in an International Labor Market -- Abstract -- 1 Introduction -- 2 Objectives and Methodology -- 3 Women in the ICT Labor Market -- 4 Conclusions -- References -- Economic Development and Infrastructure. Can E-Commerce Provide a Solution to the Coffee Paradox? -- Abstract -- 1 Introduction -- 2 Coffee Production, Processing and Distribution -- 2.1 Global Value Chain for Coffee -- 2.2 Market Functions of the Intermediaries in the GVC for Coffee -- 2.3 Coffee and Quality -- 2.4 Rent Appropriation -- 3 E-Commerce Systems for Coffee in Costa Rica -- 3.1 E-Commerce Systems for Green Coffee -- 3.2 E-Commerce Systems for Roasted Coffee -- 4 Analysis of the E-Commerce Systems Used in Costa Rica for Coffee -- 5 Conclusions and Recommendations -- References -- Innovation and Governance: The Role of Sharing Economy -- Abstract -- 1 Introduction -- 2 Sharing Economy and Accessibility Economy - Is There Room for Both? -- 3 Interests and Problems Generated by the Sharing Economy -- 4 The History of the Relationship Between Innovations and Institutions -- 5 How and Why Should Innovation Be Encouraged? -- 6 How Can the Right to Innovation Be Accomplished? Criticalities and Suggestions -- References -- e-Bridge 3.0: A Strategic Approach to Structural Health Monitoring of Bridges in Costa Rica -- Abstract -- 1 Introduction -- 2 Background and Related Work -- 3 The e-Bridge 3.0 Project -- 3.1 Project Objectives and General Architecture -- 3.2 General ICT Development Methodology -- 4 Preliminary Results -- 5 Conclusions and Future Work -- Acknowledgements -- References -- E-Government and Smart Cities -- ICT and Citizen Efficacy: The Role of Civic Technology in Facilitating Government Accountability and ... -- Abstract -- 1 Introduction -- 2 Efficacy, Confidence and Participation -- 3 Data and Methods -- 4 Findings -- 5 Conclusion -- References -- Promoting Quality e-Government Solutions by Applying a Comprehensive Information Assurance Model: Use Cases for Digital Signature -- 1 Overview -- 2 Literature Review -- 3 Digital Signature Scenarios -- 3.1 Selected Use Cases. 3.2 Application Architectures. EBL202103 XX SzGeCERN BOOK Pont, Ana https://cds.cern.ch/auth.py?r=EBLIB_P_6300804 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757832 BOOK MIGRATED 2757830 SzGeCERN 20210421184057.0 9783319653402 electronic version electronic version 9783319653396 print version oai:cds.cern.ch:2757830 cerncds:BOOK EBL 6300792 eng Q334 .P764 2017 006.3 Oliveira, Eugénio Progress in artificial intelligence 18th EPIA conference on artificial intelligence, EPIA 2017, Porto, Portugal, September 5-8, 2017, proceedings Cham Springer International Publishing AG 2017 908 p ebook Lecture notes in computer science 10423 Intro -- Preface -- Panel Session on Beneficial AI @EPIA2017 Porto, September 5, 2017 -- Contents -- Agent-Based Modelling for Criminological Research -- An Agent-Based Aggression De-escalationTraining Application for Football Referees -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Existing Tools -- 2.2 Leary's Rose -- 3 Application Design -- 3.1 Dialogue System -- 3.2 Computational Model -- 4 Using the Application -- 4.1 Intended Users -- 4.2 Application Behavior -- 5 Preliminary Evaluation -- 6 Discussion -- References -- Agents Shaping Networks Shaping Agents: Integrating Social Network Analysis and Agent-Based Modeling in Computational Crime Research -- 1 Introduction -- 2 Theoretical Background: Three Premises -- 2.1 From Instrument-Enabled Science to Science-Enabled Instruments -- 2.2 Strange Loops: Agents Shaping Networks Shaping Agents -- 2.3 Networks in Criminological Research -- 3 Methodological Background -- 3.1 Agent-Based Modeling and Crime -- 3.2 From Social to Criminal Network Analysis -- 4 Integrating ABM and SNA -- 4.1 The CrimeMiner Project -- 4.2 Widening the Scope of the Research -- 4.3 Experimenting with ABM Criminological Models -- 5 Conclusion -- References -- An Agent-Based Model Predicting Group Emotion and Misbehaviours in Stranded Passengers -- 1 Introduction -- 2 Related Work -- 2.1 Computational Models of (Group) Emotions -- 2.2 Chatbots and Multi-lingual Professionals Supporting People -- 3 Modelling a Flight Delay Situation -- 3.1 Domain Model -- 3.2 Support Models -- 4 Experimental Analysis -- 5 Discussion -- References -- Towards Understanding the Impact of Crime on the Choice of Route by a Bus Passenger -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Data Sets -- 4 Simulation -- 5 Methodology and Empirical Evaluation -- 6 Conclusion -- References. Exploring Anti-poaching Strategies for Wildlife Crime with a Simple and General Agent-Based Model -- Abstract -- 1 Introduction -- 2 Objective -- 3 The General Model: Animals, Poachers, and Rangers -- 4 Example: Rhino Poaching in South Africa -- 4.1 Virtual Park -- 4.2 Rhino Agents -- 4.3 Poacher Agents -- 4.4 Ranger Agents -- 5 Scenarios with Different Anti-poaching Strategies -- 5.1 Standard Patrols -- 5.2 Fence Patrols -- 5.3 Comparison of Anti-poaching Strategies -- 6 Discussion and Model Improvements -- 7 Conclusion -- Acknowledgments -- References -- Ambient Intelligence and Affective Environments -- A SOA Web-Based Group Decision Support System Considering Affective Aspects -- Abstract -- 1 Introduction -- 2 State of the Art -- 3 Proposed GDSS -- 3.1 System Architecture -- 3.2 Web Application -- 3.3 System Functionalities -- 4 Conclusions and Future Work -- Acknowledgments -- References -- Monitoring the Progress of Programming Students Supported by a Digital Teaching Assistant -- Abstract -- 1 Introduction -- 2 Background Macedo's Model of Selective Attention -- 3 Using the Selective Attention Mechanism in CodeInsights -- 4 Discussion and Conclusions -- References -- Image Matching Algorithm Based on Hashes Extraction -- 1 Introduction -- 2 Background -- 3 Proposed System -- 3.1 Preprocessing -- 3.2 Hash-Based Transformations -- 4 Results -- 5 Conclusion and Future Work -- References -- Unsupervised Stress Detection Algorithm and Experiments with Real Life Data -- Abstract -- 1 Introduction -- 2 Unsupervised Stress Detection Algorithm -- 2.1 Unsupervised Hidden Markov Model Training -- 2.2 Inference with Hidden Markov Models -- 3 Experiments with Field Data -- 3.1 Data Collection -- 3.2 Experimental Protocol -- 3.3 Experimental Results -- 4 Discussion -- 5 Conclusion -- References -- Artificial Intelligence in Games. Iterative Parallel Sampling RRT for Racing Car Simulation -- 1 Introduction -- 2 Related Work -- 3 Iterative Parallel Sampling RRT -- 3.1 IPS-RRT Characteristics -- 4 TORCS Bot Implementation -- 4.1 Bot Architecture -- 4.2 TORCS Search State Representation -- 4.3 IPS-RRT Applied to TORCS -- 5 Evaluation -- 5.1 Tools -- 5.2 Performance of One Search Procedure -- 5.3 Bot Racing Performance -- 6 Discussion -- 7 Conclusion and Future Work -- References -- Multi-agent Double Deep Q-Networks -- 1 Introduction -- 2 Background -- 2.1 Double Deep Q-Networks -- 2.2 Multi-agent Reinforcement Learning -- 3 Related Work -- 4 Multi-agent Double Deep Q-Networks -- 5 Results -- 5.1 Joint-Action Learners and Independent Learners -- 5.2 Generalization -- 6 Conclusion -- References -- Artificial Intelligence in Medicine -- A Deep Learning Method for ICD-10 Coding of Free-Text Death Certificates -- 1 Introduction -- 2 Related Work -- 3 The Proposed Approach -- 4 Experimental Evaluation -- 4.1 Dataset and Experimental Methodology -- 4.2 Experimental Results -- 5 Conclusions and Future Work -- References -- Robot Programming Through Whole-Body Interaction -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Health Robots and Children -- 2.2 Physical Activity and Natural Environments Benefit Children's Physical and Mental Health -- 3 Computational Models Associated with Biosymtic Devices -- 3.1 Mode 1 - Automatic Control Functions in a Biosymtic Device While Directly Connected to a Human Organism -- 3.2 Mode 2 - Autonomous Functions in a Biosymtic Device - Bio-Kinesthetic Programming -- 4 Conclusions -- References -- Wheeze Detection Using Convolutional Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Data -- 3.2 Methods -- 4 Experiments -- 4.1 Experiments Design -- 4.2 Result Evaluation -- 5 Results -- 5.1 Results of the Experiments. 6 Conclusion -- References -- Multiclassifier System Using Class and Interclass Competence of Base Classifiers Applied to the Recognition of Grasping Movements in the Control of Bioprosthetic Hand -- 1 Introduction -- 2 Bioprosthetic Hand Control System -- 3 Multiclassifier System -- 3.1 Preliminaries -- 3.2 Competence Measures -- 4 Experimental Investigations -- 4.1 Experimental Setup -- 4.2 Results and Discussion -- 5 Conclusion -- References -- Classifying Heart Sounds Using Images of MFCC and Temporal Features -- 1 Introduction -- 2 Characteristics of ECG and PCG Heart Signals -- 2.1 ECG Signal -- 2.2 PCG Signal -- 2.3 Relationship Between ECG and PCG Signals -- 3 Current Challenges and Related Work -- 3.1 Current Challenges -- 3.2 Related Work -- 4 Methodology -- 4.1 Heart Sound Database -- 4.2 Segmentation -- 4.3 Feature Extraction -- 4.4 Transformation of Features in Images -- 4.5 Classification of Heart Sound Images -- 4.6 Evaluation Metrics -- 5 Experimental Results -- 5.1 Results -- 5.2 Analysis of the Results -- 6 Conclusions -- References -- Discovering Interesting Associations in Gestation Course Data -- Abstract -- 1 Introduction -- 2 Background and Related Work -- 3 Methodologies, Materials, and Methods -- 3.1 Data Description -- 3.2 Association Rule Mining for Gestation Course Data -- 3.3 Reducing Number of Rules -- 4 Findings and Study Outcome -- 5 Conclusions and Future Work -- References -- Artificial Intelligence in Power and Energy Systems -- Severity Estimation of Stator Winding Short-Circuit Faults Using Cubist -- 1 Introduction -- 1.1 Stator Winding Short-Circuits -- 1.2 Stator Winding Short-Circuit Detection and Estimation -- 1.3 Proposed Method -- 1.4 Outline -- 2 Data Generation Process -- 3 Feature Extraction -- 3.1 Raw Data -- 3.2 Park's Vector -- 3.3 PCA Transform -- 4 Modeling and Evaluation -- 4.1 Cubist. 4.2 Selecting Promising Models -- 4.3 Model Training -- 4.4 Evaluation -- 5 Conclusions -- References -- Estimating Energy Consumption in Evolutionary Algorithms by Means of FRBS -- 1 Introduction -- 2 Energy Efficiency and Evolutionary Algorithms -- 3 Methodology -- 3.1 Algorithmic Setting -- 3.2 Computational Platforms -- 3.3 Predictive System -- 4 Results -- 5 Conclusions -- References -- Application of Robust Optimization Technique to the Energy Planning Problem -- 1 Introduction -- 2 Problem Formulation -- 2.1 C&amp -- CG Algorithm -- 2.2 Application of C&amp -- CG to the RO Problem for Energy Planning -- 2.3 Application of the C&amp -- CG Technique -- 3 Results and Discussions -- 4 Conclusions -- References -- EnAPlug - An Environmental Awareness Plug to Test Energy Management Solutions for Households -- Abstract -- 1 Introduction -- 2 Background of the Proposal -- 3 Environmental Awareness Plug -- 4 Demonstration -- 5 Conclusions -- References -- Flower Pollination Algorithm Applied to the Economic Dispatch Problem with Multiple Fuels and Valve Point Effect -- Abstract -- 1 Introduction -- 2 Modelling of Economic Dispatch -- 2.1 Classic Models -- 2.2 Real World Restrictions -- 3 Flower Pollination Algorithm -- 4 Study of Case and Results Analysis -- 5 Conclusions -- Acknowledgments -- References -- Dynamic and Static Transmission NetworkExpansion Planning via Harmony Searchand Branch &amp -- Bound on a Hybrid Algorithm -- Abstract -- 1 Introduction -- 2 Transmission Network Expansion Planning -- 3 Harmony Search -- 3.1 Problem Initialization and Algorithm Parameters -- 3.2 The Searching Process -- 4 Branch and Bound -- 5 Proposed Method -- 5.1 Constructive Heuristic Algorithm -- 5.2 Static Expansion Planning -- 5.3 Dynamic Expansion Planning -- 6 Results and Discussion -- 6.1 Garver System -- 6.2 The Southern Brazilian System -- 7 Conclusion. Acknowledgments. EBL202103 XX SzGeCERN BOOK Gama, João Vale, Zita Lopes Cardoso, Henrique https://cds.cern.ch/auth.py?r=EBLIB_P_6300792 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757830 BOOK MIGRATED 2757824 SzGeCERN 20210421184057.0 9783030014612 electronic version electronic version 9783030014605 print version oai:cds.cern.ch:2757824 cerncds:BOOK EBL 6300759 eng QA76.758 .S967 2018 005.1 Jones, Cliff Symposium on real-time and hybrid systems essays dedicated to professor Chaochen Zhou on the occasion of his 80th birthday Cham Springer International Publishing AG 2018 273 p ebook Lecture notes in computer science 11180 Intro -- Preface -- Organization -- Contents -- Think Sequential, Run Parallel -- 1 Introduction -- 2 From Think Parallel to Think Sequential -- 2.1 Graphs and Graph Partition -- 2.2 Programming Model -- 2.3 Parallel Computation Model -- 2.4 Features of GRAPE -- 3 Programming with GRAPE -- 3.1 Graph Traversal -- 3.2 Graph Simulation -- 3.3 Graph Connectivity -- 3.4 Minimum Spanning Tree -- 4 Experimental Study -- 5 Concluding Remarks -- References -- Concurrency: Handling Interference Formally -- 1 Introduction -- 2 Model-Oriented Formal Semantics -- 2.1 SOS of Concurrency -- 2.2 Granularity -- 2.3 Operational Semantics: A Little Context -- 2.4 Denotational Semantics and Interference -- 3 Axiomatic View -- 3.1 Separation Logic -- 3.2 Rely/Guarantee -- 4 Conclusions -- References -- Decidability of the Initial-State Opacity of Real-Time Automata -- 1 Introduction -- 2 Preliminaries -- 2.1 Finite-State Automata and Regular Expressions -- 2.2 Real-Time Automata -- 2.3 Initial-State Opacity of Real-Time Automata -- 3 Correspondence Between NFAs and Real-Time Automata -- 4 Decidability -- 4.1 Calculating Time Between Observable Events -- 4.2 Constructing Real-Time Automata Aobs, Aobs,s and Aobs,ns -- 4.3 Building Trace-Equivalent NFAs -- 5 Conclusion -- References -- Domain Science and Engineering A Review of 10 Years Work and a Laudatio The ZCC Fest, 20 October 2017, Changsha, China -- 1 Introduction -- 1.1 Recent Papers and Reports -- 1.2 Recent Experiments -- 1.3 My Emphasis on Software Systems -- 1.4 How Did We Get to Domain Science and Engineering? -- 1.5 Preliminaries -- 1.6 The Papers -- 1.7 Structure of This Paper -- 2 Manifest Domains: Analysis &amp -- Description BjornerDAADL2018 -- 2.1 A Domain Ontology -- 2.2 From Manifest Parts to Domain Behaviours -- 2.3 Contributions of BjornerDAADL2018 - and Open Problems -- 3 Related Papers. 3.1 Domain Facets: Analysis &amp -- Description BjornerFAoCFacets,dines:facs:2008 -- 3.2 From Domains to Requirements BjornerFAoC2015Req,dines:ugo65:2008 -- 3.3 Formal Models of Processes and Prompts BjornerFAoCProcesses,2013daspsjaist -- 3.4 To Every Manifest Domain Mereology a CSP Expression BjornerMereologyCSP2017 -- 4 Domain Science &amp -- Engineering: A Philosophy Basis 2018:Bjorner:philo -- 5 The Experiments BjornerUrbanPlanningProcesses2017,Clem84,RSL,RaiseMethod,Kant,Haff87,CCITT81,Hoare85sps2004,lexicon,Oest86,db02spsamorespsmaint,kaisorlander1994,kaisorlander1997,kaisorlander2002,kaisorlander2016,db02spsamorespsros -- 6 Summary -- 7 Laudatio -- 8 Bibliography -- 8.1 Bibliographical Notes -- References -- HAT: Analyzing Linear Hybrid Automata as Labelled Transition System -- 1 Introduction -- 2 Notations -- 2.1 Linear Hybrid Automata -- 2.2 Labelled Linear Transition System -- 2.3 LTS Semantic for LHA -- 3 Quantifier-Free LTS Construction for LHA -- 4 Implementation and Experiment -- 4.1 Tool Implementation -- 4.2 Case Studies -- 5 Related Works -- 5.1 Reachability Analysis -- 5.2 Invariant Generation -- 5.3 Termination Analysis -- 5.4 TS Construction for HA -- 6 Conclusion -- References -- Overview: System Architecture Virtual Integration based on an AADL Model -- 1 Introduction -- 2 SAVI Virtual Integration for Safety-Critical Systems -- 2.1 Modelling Complex Safety-Critical Systems -- 2.2 Model Transformation-Based Integration -- 2.3 Model Bus-Based Integration -- 3 Non-functional Properties Analysis for SAVI -- 3.1 Safety Analysis -- 3.2 Dynamic Reconfiguration -- 3.3 Reliability Analysis -- 3.4 Schedulability Analysis -- 4 A Tool for Non-functional Properties Analysis -- 5 Challenges -- 6 Conclusions -- References -- Characterization and Verification of Stuttering Equivalence -- 1 Introduction. 2 Stuttering Equivalence and -Bisimulation -- 3 Stuttering Bisimulation with Induction -- 4 Well-Founded Bisimulation -- 5 Related Works -- 6 Conclusion -- References -- Q|SI"526930B : A Quantum Programming Environment -- 1 Introduction -- 2 Quantum while-Language -- 3 The Structure of Q|SI"526930B -- 3.1 Basic Features of Q|SI"526930B -- 3.2 Main Components of Q|SI"526930B -- 3.3 Implementation of Q|SI"526930B -- 4 The Quantum Compiler -- 4.1 f-QASM -- 4.2 Decomposition of a General Unitary Transformation -- 5 The Quantum Simulator -- 5.1 Quantum Types -- 6 Experiments -- 7 Conclusions -- A Setup and Configuration of Q|SI"526930B -- B Experiment-Qloop Case -- B.1 Input and Output -- B.2 Results -- B.3 Features and Analysis -- C BB84 Case -- C.1 Simple BB84 Case -- C.2 BB84 Case, Multi-client -- C.3 BB84 Case with Noise -- D Grover's Search Algorithm -- D.1 A Simple Grover's Search Algorithm -- D.2 Multi-object Grover's Search Algorithm -- References -- The Demon, the Gambler, and the Engineer -- 1 Introduction -- 2 Related Work -- 3 Traditional Hybrid Automata Models -- 3.1 Running Example -- 3.2 Deterministic Environmental Sensing -- 3.3 Demonic Modelling -- 3.4 Stochastic Modelling -- 4 Bayesian Hybrid Automata -- 5 Summary -- References -- Linking Theories of Probabilistic Programming -- 1 Introduction -- 2 Probabilistic Programming Language -- 2.1 Probabilistic Choice -- 2.2 Conditional Choice -- 2.3 Sequential Composition -- 2.4 Total Assignment -- 3 Normal Form Reduction -- 3.1 Finite Normal Form -- 3.2 Infinite Normal Form -- 3.3 Continuity -- 3.4 Recursion -- 4 Testing Programs -- 5 Operational Approach -- 6 Conclusions -- References -- Space for Traffic Manoeuvres: An Overview -- 1 Introduction -- 2 Model -- 2.1 Multi-Lane Spatial Logic -- 3 Controller -- 4 Safety -- 5 Linking -- 5.1 Linking: Distance Controller DC. 5.2 Linking: Lane-Change Controller LPC -- 6 Tool Support -- 6.1 Satisfiability Problem -- 6.2 Search for Tool Support: Positive Results -- 6.3 EMLSL with Modalities -- 6.4 MLSL with Scopes -- 7 Conclusion -- References -- Cloud Robotics: A Distributed Computing View -- Abstract -- 1 Introduction -- 2 From Backend Computer to Cloud -- 3 Cloud Roles -- 3.1 Computation Support -- 3.2 Data Support -- 3.3 Coordination Support -- 4 Challenges to Distributed Computing -- 4.1 QoS-Awarness -- 4.2 Autonomy Promotion -- 4.3 Collective Intelligence -- 4.4 Ecosystem Evolution -- 5 Our Early Experience -- 5.1 MicROS-Cloud Architecture -- 5.2 Initial Results -- 6 Conclusion -- Acknowledgements -- References -- Analyzing Interrupt Handlers via Interprocedural Summaries -- 1 Introduction -- 2 Features of Interrupt Handlers -- 3 Tabulation of Procedure Summaries -- 4 Procedure Summary Based on Partitioning Inputs -- 5 Implementation and Experiments -- 6 Related Work -- 7 Conclusion and Future Work -- References -- Author Index. EBL202103 XX SzGeCERN BOOK Wang, Ji Zhan, Naijun https://cds.cern.ch/auth.py?r=EBLIB_P_6300759 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757824 BOOK MIGRATED 2757812 SzGeCERN 20210421184058.0 9783319299716 electronic version electronic version 9783319299709 print version oai:cds.cern.ch:2757812 cerncds:BOOK EBL 6300714 eng TA1634 .C667 2016 006.37 Braz, José Computer vision, imaging and computer graphics theory and applications 10th international joint conference, VISIGRAPP 2015, Berlin, Germany, March 11-14, 2015, revised selected papers Cham Springer International Publishing AG 2016 492 p ebook Communications in computer and information science 598 Intro -- Preface -- Organization -- Contents -- Invited Paper -- First-Person Palm Pose Tracking and Gesture Recognition in Augmented Reality -- 1 Introduction -- 2 Literature Review -- 3 The Overall Framework -- 4 Random Forest Prediction -- 5 Random Forest Training -- 6 Quantitative Evaluation -- 7 Augmented Reality System -- 8 Conclusions -- References -- Computer Graphics Theory and Applications -- A Sketch-Based Interface for 2D Illustration of Vascular Structures, Diseases, and Treatment Options with Real-Time Blood Flow -- 1 Introduction -- 2 Medical Background -- 3 Related Work -- 3.1 Computational Hemodynamics -- 3.2 Flow Visualization -- 3.3 Sketch-Based Interfaces -- 4 Methods -- 4.1 Blood Flow Simulation -- 4.2 Blood Flow Visualization -- 4.3 Sketching -- 5 Application -- 5.1 Sketch Vessels and Vascular Diseases -- 5.2 Manipulate and Visualize Blood Flow -- 5.3 Treating Options -- 5.4 Edit, Delete, and Copy Objects -- 5.5 User Interface -- 6 Evaluation -- 6.1 Usability -- 6.2 Structured Interview -- 7 Conclusions and Future Work -- References -- GPU Accelerated Computation of Geometric Descriptors in Parametric Space -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Surface Parameterisation -- 3.2 Pre-processing Operations -- 3.3 Data Buffer Generation -- 3.4 Sampling a Point's Neighbourhood -- 4 Estimating Integral Geometric Descriptors -- 4.1 Monte Carlo Integration -- 4.2 Adaptive Sampling -- 5 Performance and Quality Evaluation -- 5.1 Local Descriptors -- 5.2 Image Descriptors -- 5.3 Results and Discussion -- 6 Limitations -- 7 Conclusion -- References -- Interference Shader for Multilayer Films -- 1 Introduction -- 2 Related Work -- 3 Iridescent Illumination Model -- 3.1 Multi-beam Interference -- 3.2 Fresnel Coefficient -- 3.3 Regularity and Irregularity of Structures -- 3.4 Rendering Equation -- 4 Simulations. 5 Conclusion and Future Work -- References -- Enhancement of Direct Augmented Reality Object Selection by Gravity-Adapted Target Resizing -- Abstract -- 1 Introduction -- 2 The Force-Based Resizing Approach -- 3 Research Objective -- 4 First Experiment: Case Study by Long-Arm Human Centrifuge -- 4.1 Apparatus -- 4.2 Experiment Task -- 4.3 Experiment Design and Procedure -- 4.4 Results -- 5 Second Experiment: User Study by Arm Weightings -- 5.1 Apparatus -- 5.2 Experiment Task -- 5.3 Participants -- 5.4 Experiment Design and Procedure -- 5.5 Results -- 6 Discussion -- 7 Summary -- References -- Information Visualization Theory and Applications -- A Linear Time Algorithm for Embedding Arbitrary Knotted Graphs into a 3-Page Book -- 1 Introduction: Motivation and Problems on Knotted Structures -- 2 Key Concepts on Knotted Graphs and Isotopy in 3-Space -- 3 Gauss Codes of Knotted Graphs and Abstract Gauss Codes -- 4 Planarity Criterion for Gauss Codes of Knotted Graphs -- 5 Embedding Any Knotted Graph into a 3-Page Book -- 6 Discussion and 10 Open Problems on Knotted Graphs -- A Semigroups for Classifying Graphs up to Isotopy -- B Algorithm 1 for Checking Planarity of any Gauss Code -- C Algorithm 2 for Drawing a 2-page Embedding -- D Algorithm 3 for Drawing a 3-page Embedding -- References -- Leaf Glyphs: Story Telling and Data Analysis Using Environmental Data Glyph Metaphors -- 1 Introduction -- 2 Related Work -- 2.1 Glyphs -- 2.2 Environmental Cues -- 3 Environmental Glyph -- 3.1 Leaf Shape Design Space -- 3.2 Leaf Boundary Design Space -- 3.3 Leaf Venation Design Space -- 3.4 Summary -- 4 Leaf Glyph Aggregation -- 4.1 Alpha Compositing -- 4.2 Prototype Generation -- 4.3 Abstraction by Visual Aggregation -- 4.4 Hierarchical Aggregation -- 5 Story Telling and Data Analysis -- 6 Conclusion and Future Work -- References. Compression and Heuristic Caching for GPU Particle Tracing in Turbulent Vector Fields -- 1 Introduction -- 2 Related Work -- 3 Out-of-Core Particle Tracing -- 3.1 Particle Tracing in Rounds -- 3.2 Tracing Across Brick Boundaries -- 3.3 Heuristic Brick Selection and Paging -- 3.4 Unsteady Flow -- 3.5 Interpolation Schemes -- 4 Turbulent Vector Field Compression -- 4.1 Interpolation Error Estimate -- 4.2 Error-Guided Data Compression -- 5 Evaluation -- 5.1 Error Metrics -- 5.2 Accuracy Analysis -- 5.3 Performance Analysis -- 5.4 Comparison to Previous Work -- 6 Conclusion -- References -- Choosing Visualization Techniques for Multidimensional Data Projection Tasks: A Guideline with Examples -- 1 Introduction -- 2 Related Work -- 3 Task Taxonomy for Multidimensional Data Projection -- 3.1 Pattern Identification Tasks -- 3.2 Relation-Seeking Tasks -- 3.3 Behavior Comparison Tasks -- 3.4 Membership Disambiguation -- 3.5 Meta-Projection -- 4 Conclusion -- References -- Computer Vision Theory and Applications -- A Hybrid Approach for Individual and Group Activity Analysis in Crowded Scene -- 1 Introduction -- 2 Related Work -- 3 Approach -- 3.1 Group Discovery in Crowded Scene -- 3.2 Model Formulation -- 3.3 Group Context Activity Descriptor -- 3.4 Inference and Learning -- 4 Experiment and Results -- 4.1 Datasets -- 4.2 Model Parameters -- 4.3 Human Activity Recognition Evaluation -- 5 Conclusion -- References -- Fusing Intertial Data with Vision for Enhanced Image Understanding -- 1 Introduction -- 2 Related Work -- 3 Overview -- 4 Data Acquisition -- 5 Classification and Segmentation -- 5.1 Structures -- 5.2 Features -- 5.3 Classification -- 5.4 Combining Information -- 5.5 Segmentation -- 6 Results -- 6.1 Cross-Validation -- 6.2 Independent Data and Examples -- 6.3 Detailed Segmentation -- 7 Conclusion -- References. Multiple View 3D Reconstruction with Rolling Shutter Cameras -- 1 Introduction -- 2 Formalism -- 3 Related Work -- 4 Impact of Speeds on Optical Flow and Distortion -- 5 Epipolar Geometry with Rolling Shutter -- 6 Bundle Adjustment for Rolling Shutter -- 7 Results -- 7.1 Synthetic Data Experiment -- 7.2 Real Data Experiment -- 8 Discussion -- 9 Conclusion -- References -- Fully-Automatic Target Detection and Tracking for Real-Time, Airborne Imaging Applications -- 1 Introduction -- 2 Proposed Method -- 2.1 Target Hypotheses Generation -- 2.2 Temporal Consistency Evaluation by Blob Matching -- 2.3 Target Likelihood Map Generation -- 2.4 Target Selection and Tracking -- 3 Experiments -- 4 Conclusions -- References -- A Generalized Structure from Motion Framework for Central Projection Cameras -- 1 Introduction -- 1.1 Related Work -- 2 Background -- 2.1 Spherical Images -- 2.2 Sphere as Unifying Model -- 2.3 Spherical Camera Pose Estimation -- 3 The Proposed Approach -- 3.1 Reprojection Error and Visibility Map Models -- 3.2 Sub-set Constraints -- 3.3 Minimizing the Reprojection Error -- 4 Evaluation -- 4.1 Preliminaries -- 4.2 Synthetic Dataset -- 4.3 Perspective Datasets -- 4.4 Spherical Datasets -- 4.5 Hybrid Dataset -- 5 Conclusions -- References -- TVL1 Planarity Regularization for 3D Shape Approximation -- 1 Introduction -- 2 Literature Review -- 2.1 Shape Reconstruction -- 2.2 Efficient L1 Optimization -- 2.3 Summary -- 3 The Method -- 3.1 Interpolation with Radial Basis Functions -- 3.2 Shape Reconstruction from Scattered Points -- 3.3 TVL1 Solver -- 4 Evaluation -- 5 Conclusion -- References -- Traffic Sign Recognition Using Visual Attributes and Bayesian Network -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Feature Extraction -- 3.2 Attribute Classifier -- 3.3 Bayesian Network Model -- 3.4 Category Finding. 3.5 Fine Classification -- 4 Experiments -- 4.1 Novelty Detection -- 5 Conclusion -- References -- Novel Methods for Estimating Surface Normals from Affine Transformations -- 1 Introduction -- 2 Geometric Background -- 2.1 Pin-hole Camera Model -- 3 Normal Vector Estimation -- 3.1 Fast Normal Estimation (FNE) -- 3.2 Optimal Normal Estimation with Known Projective Depth (OPT) -- 3.3 Normal Estimation with Unknown Projective Depths Using Alternation (ALT) -- 3.4 Linear Normal Estimation (LNE) -- 4 Experimental Results -- 4.1 Test on Synthesized Data -- 4.2 Test on Real Image Pairs -- 5 Conclusion and Future Work -- A Appendix -- References -- Semi-automatic Hand Annotation of Egocentric Recordings -- 1 Introduction -- 2 Related Work -- 3 Hand Detection Framework -- 3.1 Torso Detection -- 3.2 Face Detection -- 3.3 Hand Detection -- 3.4 Elimination -- 3.5 Tracking -- 4 Semi-automatic Analysis -- 5 Experimental Results -- 5.1 Datasets -- 5.2 Results -- 6 Conclusion and Future Work -- References -- Pedestrian Detection and Tracking in Challenging Surveillance Videos -- 1 Introduction -- 2 Related Work -- 3 Algorithm Overview -- 3.1 Foreground Segmentation -- 3.2 Modelling Scene Constraints -- 3.3 Generation of Region Proposals -- 3.4 Warping Patches -- 3.5 Pedestrian Detector -- 3.6 Tracking -- 4 Experiments and Results -- 4.1 Accuracy -- 4.2 Speed -- 4.3 Comparative Evaluation -- 5 Conclusions and Future Work -- References -- Algorithmic Optimizations in the HMAX Model Targeted for Efficient Object Recognition -- 1 Introduction -- 2 The Visual System of the Human Brain -- 3 HMAX Model with Feature Learning -- 3.1 Computational Complexity -- 4 S1 Layer Approximations -- 4.1 Combined Image-Based HMAX Using 2-D Gabor Filters -- 4.2 Combined Image-Based HMAX Using Separable Gabor Filters -- 4.3 Combined Image-Based HMAX Using Haar Wavelet Transform. 4.4 Baseline Model Using Haar Wavelet Transform. EBL202103 XX SzGeCERN BOOK Pettré, Julien Richard, Paul Kerren, Andreas Linsen, Lars Battiato, Sebastiano Imai, Francisco https://cds.cern.ch/auth.py?r=EBLIB_P_6300714 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757812 BOOK MIGRATED 2757744 SzGeCERN 20210421184101.0 9783319245980 electronic version electronic version 9783319245973 print version oai:cds.cern.ch:2757744 cerncds:BOOK EBL 6299270 eng Q334 .A383 2015 006.3 Puerta, José M Advances in artificial intelligence 16th conference of the spanish association for artificial intelligence, CAEPIA 2015 Albacete, Spain, November 9-12, 2015 proceedings Cham Springer International Publishing AG 2015 362 p ebook Lecture notes in computer science 9422 Intro -- Preface -- Organization -- Contents -- Bayesian Networks and Uncertainty Modeling -- A Novel Weakly Supervised Problem: Learning from Positive-Unlabeled Proportions -- 1 Introduction -- 2 Learning from Positive and Unlabeled Proportions -- 3 A SEM Method for Learning Bayesian Network Classifiers from Positive and Unlabeled Proportions -- 3.1 A Probabilistic Completion for the Training Examples -- 4 Experiments -- 5 Conclusions -- References -- Parallelisation of the PC Algorithm -- 1 Introduction -- 2 Preliminaries and Notation -- 2.1 Bayesian Networks -- 2.2 PC Algorithm -- 2.3 Balanced Incomplete Block Designs -- 3 Parallelisation of PC Structure Learning -- 3.1 Test for Marginal Independence -- 3.2 Extra Heuristics -- 3.3 Higher Order Testing -- 4 Empirical Evaluation -- 5 Discussion -- References -- Regularized Multivariate von Mises Distribution -- 1 Introduction -- 2 The Multivariate von Mises Distribution -- 2.1 Pseudo-Likelihood -- 2.2 Optimization -- 2.3 Regularization -- 3 Evaluation -- 4 Multivariate von Mises vs. Multivariate Gaussian -- 5 Validation on Morphological Data from Human Neurons -- 6 Conclusion and Future Work -- References -- Parallel Importance Sampling in Conditional Linear Gaussian Networks -- 1 Introduction -- 2 Preliminaries -- 2.1 Conditional Linear Gaussian Networks -- 3 Approximate Inference in CLG Networks -- 3.1 Variational Inference -- 3.2 Importance Sampling -- 4 Experimental Evaluation -- 5 Conclusion -- References -- Fuzzy Logic and Soft Computing -- Glaucoma Diagnosis: A Soft Set Based Decision Making Procedure -- 1 Introduction -- 1.1 Glaucoma Diagnosis -- 1.2 Contribution and Organization of the Paper -- 2 Definition of Fuzzy Set and Soft Set -- 3 The Problem: Antecedents and a New Proposal -- 3.1 Antecedents -- 3.2 Proposal of a New Soft Expert System for Glaucoma Diagnosis. 3.3 Testing the Performance of the Algorithm -- 4 Final Comments and Conclusion -- References -- Retinal Vessel Detection Based on Fuzzy Morphological Line Enhancement -- 1 Introduction -- 2 Automatic Segmentation -- 2.1 Nature of Images -- 2.2 Description of the Algorithm -- 3 Experimental Results -- 3.1 Methodology -- 3.2 Comparison with Other Methods -- 4 Conclusions and Future Work -- References -- A Linguistic Approach for Self-Perceived Health State: A Real Study for Diabetes Disease -- 1 Introduction -- 2 Linguistic Background -- 2.1 Fuzzy Linguistic Approach -- 2.2 Managing Multi-granular Linguistic Information -- 3 A Linguistic Proposal to Model the Health Information Provided by Diabetes Patients -- 3.1 The Framework -- 3.2 The Method -- 3.3 Computing Process -- 4 A Real Study for Diabetes Disease -- 5 Concluding Remarks -- References -- Applying Neuroevolution to Estimate the Difficulty of Learning Activities -- 1 Introduction -- 2 Background -- 2.1 PLMan: An AI Programming Game -- 2.2 Neuroevolution -- 3 Measuring Difficulty -- 4 Proposed Method -- 4.1 ANN Architectural Setup -- 4.2 Similarity Measures -- 5 Experimental Setup and Results -- 6 Conclusions and Further Work -- References -- Evolutionary Product Unit Logistic Regression: The Case of Agrarian Efficiency -- Abstract -- 1 Introduction -- 2 Classification Methods -- 2.1 Logistic Regression with Product-Unit Covariates -- 2.2 The Estimation of Coefficients -- 3 Technical Efficiency: The DEA Model -- 4 Experimental Design: Selection and Justification of the Variable and Decisional Framework -- 5 Results -- 6 Conclusions -- Acknowledgements -- References -- Knowledge Representation, Reasoning and Logic -- On Coarser Interval Temporal Logics and their Satisfiability Problem -- 1 Introduction -- 2 Preliminaries -- 3 Decidability and Hardness Results for HS3. 4 Undecidability Results for HS7 -- 5 Conclusions -- References -- Characterizing and Computing HBG-PCs for Hybrid Systems Fault Diagnosis -- 1 Introduction -- 2 Characterizing PCs in the BG Modelling Framework -- 2.1 Running Example -- 2.2 Hybrid Bond-Graphs for Hybrid Systems Modelling -- 2.3 Possible Conflicts from BG Models -- 3 Characterizing HBG-PCs -- 3.1 Computing HBG-PCs -- 4 Case Study -- 5 Conclusions -- References -- Clinical Decision Support System for the Diagnosis and Treatment of Fuzzy Diseases -- 1 Introduction -- 2 Background -- 3 Design of a CDSS for Fuzzy Diseases -- 4 System Evaluation -- 4.1 Evaluation Workflow -- 4.2 A Complex Clinical Case -- 4.3 Summary of Cases Evaluated -- 5 Conclusions and Future Work -- References -- Public and Secret Forgetting of Propositional Formulas -- 1 Introduction -- 2 Basic Definitions -- 3 Public Forgetting -- 4 The Effect of Publicly Forgetting Whether -- 5 Secret Forgetting -- 6 Conclusions and Future Work -- References -- Intelligent Systems and Environment -- Estimation of Species Richness Using Bayesian Networks -- 1 Introduction -- 2 Methodology -- 2.1 Study Area and Data Description -- 2.2 Probabilistic Graphical Models: Bayesian Networks -- 2.3 Probabilistic Reasoning -- 2.4 Validation of the Model -- 3 Results and Discussion -- 4 Conclusions -- References -- Automatic Generation of Air Quality Index Textual Forecasts Using a Data-To-Text Approach -- 1 Introduction -- 2 Service Description -- 2.1 Input Air Quality State Forecast Data Characterization -- 2.2 Content Determination Stage -- 2.3 Linguistic Realization Stage -- 3 Results and Evaluation -- 3.1 Examples -- 3.2 Quality Assessment Evaluation -- 4 Conclusions -- References -- Using a New Tool to Visualize Environmental Data for Bayesian Network Modelling -- 1 Introduction -- 2 Omnigram Explorer -- 2.1 OE Interaction Modes. 3 Using OE to Understand Andalusian Reservoirs -- 3.1 The Problem -- 3.2 Data Description -- 3.3 OE Data Exploration Prior to Modeling -- 3.4 BN Learning -- 4 Conclusion -- References -- Intelligent Web and Recommender Systems -- Learning Parliamentary Profiles for Recommendation Tasks -- 1 Introduction -- 2 Building and Using Profiles -- 2.1 Exploitation of the Profiles -- 2.2 Collecting User Information -- 2.3 Representation -- 2.4 Construction -- 3 Evaluation -- 3.1 Evaluation Framework -- 3.2 Results -- 4 Conclusions -- References -- An Analysis of the Quality Issues of the Properties Available in the Spanish DBpedia -- 1 Introduction -- 2 Extraction of Property Statistics -- 3 Analysis of Quality Dimensions -- 3.1 Conciseness -- 3.2 Consistency -- 3.3 Syntactic Validity -- 3.4 Semantic Accuracy -- 4 Related Work -- 5 Conclusions and Future Work -- References -- Machine Learning and Data Mining -- Measuring Data Imperfection in a Neighborhood Based Method -- 1 Introduction -- 2 K-Nearest Neighbors Method from Low Quality Data -- 2.1 Introduction -- 2.2 Contribution from Neighbors for the Imputation/Classification -- 2.3 Controlling the kNNLQD Method -- 2.4 The Process of the kNNLQD Method -- 3 Experimental Results -- 3.1 Fuzzy Distance Measure -- 3.2 Fuzzy Entropy Function -- 3.3 Classification Accuracy -- 3.4 Synthetic Datasets with Low Quality Data -- 3.5 Real-World Dataset with Low Quality Data -- 4 Conclusions -- References -- An Ensemble-Based Classification Approach to Model Human-Machine Dialogs -- 1 Introduction -- 2 Our Proposed Methodology for Dialog Management -- 2.1 Proposed Statistical Methodology -- 2.2 Proposed Implementation by Means of Specific Dialog Models -- 3 Practical Application -- 4 Results of the Evaluation -- 4.1 Evaluation with a User Simulator -- 5 Conclusions and Future Work -- References. Pentaho + R: An Integral View for Multidimensional Prediction Models -- 1 Introduction -- 1.1 Related Work -- 2 Experimental Setting -- 2.1 The Task -- 2.2 Multidimensional Data Description -- 2.3 Implementation Details -- 2.4 Experiment 1: Cost-Benefit Analysis Across the Full Multidimensional Lattice -- 2.5 Experiment 2: Cost-Benefit Analysis for a Single Cube Request -- 3 Discussion and Conclusions -- References -- A Time Efficient Approach for Distributed Feature Selection Partitioning by Features -- 1 Introduction -- 2 Distributed Feature Selection -- 3 Materials and Methods -- 4 Experiments and Analysis -- 5 Final Remarks -- References -- Analyzing Planning and Monitoring Skills of Users in a Multi-UAV Simulation Environment -- 1 Introduction -- 2 Related Work -- 3 DWR - A Multi-UAV Simulation Environment -- 4 Measures of Planning and Monitoring Effectiveness -- 4.1 Score -- 4.2 Cooperation -- 4.3 Aggressiveness -- 4.4 Initial Plan Complexity (IPC) -- 5 Experimentation -- 5.1 Computing the Performance Metrics in a Simulations Dataset -- 5.2 Applying Clustering Algorithms to Group User Profiles -- 5.3 Analyzing and Labeling the User Profile Clusters -- 6 Conclusions and Future Work -- References -- Metaheuristics and Evolutionary Computation -- Learning Levels of Mario AI Using Genetic Algorithms -- 1 Introduction -- 2 State of the Art -- 3 Proposal -- 3.1 Encoding -- 3.2 Fitness -- 3.3 Genetic Operators -- 4 Evaluation -- 4.1 1st Stage Experimental Setup -- 4.2 Sensitivity Analysis of the Parameters -- 4.3 2nd Stage Experimental Setup -- 4.4 2nd Stage Results -- 4.5 Discussion -- 5 Conclusions and Future Work -- References -- GRASP Approach to a Min-Max Problem of Ergonomic Risk in Restricted Assembly Lines -- Abstract -- 1 Introduction -- 2 The TSALBP-R_erg -- 3 GRASP Algorithm -- 3.1 Constructive Phase: Greedy Procedure. 3.2 Local Improvement Phase. EBL202103 XX SzGeCERN BOOK Gámez, José A Barrenechea, Edurne Troncoso, Alicia Baruque, Bruno Galar, Mikel Dorronsoro, Bernabé https://cds.cern.ch/auth.py?r=EBLIB_P_6299270 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2757744 BOOK MIGRATED 2757735 SzGeCERN 20210421184101.0 9783642351426 electronic version electronic version 9783642351419 print version oai:cds.cern.ch:2757735 cerncds:BOOK EBL 6299243 eng T58.5 .S537 2012 004.072 Bhattacherjee, Anol Shaping the future of ICT research IFIP WG 8. 2 working conference, Tampa, FL, USA, December 13-14, 2012, proceedings Berlin Springer 2012 243 p ebook IFIP advances in information and communication technology 389 Intro -- Title -- Preface -- Conference Chairs -- Table of Contents -- Track I New Methods in Design Science Research -- Resolving Name Conflicts for Mobile Apps in Twitter Posts -- Introduction -- Related Work -- Solution Approach -- Intuition behind the Alias Identification Phase -- Intuition behind the Conflict Resolution Phase -- Details of Alias Identification Phase -- Details of Conflict Resolution Phase -- Experimental Results -- Comparison with Bayesian Approach -- Comparison with SocialMention -- Discussion -- Conclusion -- References -- Using Adjective Features from User Reviews to Generate Higher Quality and Explainable Recommendations -- Introduction -- Recommendation Framework -- Intuition and Overview -- Movie Recommendation Framework -- Experiment and Results -- Experiment Setup -- Results of Recomm mendation Coverage -- Results of Recommendation Explanation -- Related Work -- Collaborative Filtering (CF) Recommendation -- Content-Based Recommendation -- Automatic Tag Generation -- Conclusion -- References -- Product Semantics in Design Research Practice -- Introduction -- Realms of Design Research -- Adopting Product Semantics to Characterize Realms -- IT-CMF: An Illustration of Design Research as Practice -- Stakeholders -- The Meaning of Artifacts-in-Use -- The Meaning of Artifacts-in-Language -- The Meaning of a Lifecycle of Artifacts -- The Meaning of an Ecology of Artifacts -- Concluding Discussion -- References -- Track II Recent Developments in Inductive Research Methods -- Action Design Ethnographic Research (ADER): Vested Interest Networks and ICT Networks in Service Delivery of Land Records in Bangladesh -- Introduction -- Methodology -- Literature -- Action Design Research -- Problem Formulation -- Building, Intervention and Evaluation (BIE) -- Reflection and Learning -- Formalization of Learning. ADER - A Need for an Ethnographic Perspective in ADR -- Initial Design of ICT Networks in Organizational Contexts -- Vested Interest Networks -- Organizational Networks and Vested Interest Networks -- The Initial Designs of ICT Networks and Underlying Contexts -- ICT Networks in the ADER Context -- Problem Formulation -- Building Intervention and Evaluation (BIE) -- Critical Reflection and Learning -- Formalization of Learning -- Thick Description -- Conclusion -- References -- Grounded Analytic Research: Building Theory from a Body of Research -- Introduction -- The Background Story -- The Search for an Appropriate Method -- Placing GAR in a Research Methodology Framework -- The Research Problem -- The Mode: Primarily Inductive -- The Strategy: Analytic Research -- The Domain: Internal Logic -- The Technique: Informal Argument -- The Resultant Theory -- Discussion -- References -- Using Photo-Diary Interviews to Study Cyborgian Identity Performance in Virtual Worlds -- Introduction -- Cyborgian Identity -- Photo-Diary Interview Method -- Studying Cyborgian Identity Performance in Second Life -- Data Analysis: Dialogic Narrative Analysis -- Empirical Illustration: Abigail as Independent Agent -- Conclusion -- References -- Track III Emerging Themes in Interpretive Case Study Research -- Living in a Sociomaterial World -- Introduction -- Conceptualising Technology: Sociomateriality in Context -- Method and Case -- Approach and Access -- Data Collection -- Data Analysis -- Case Context: The Reservoir Model -- Results -- Extrapolate: g Filling in the Gaps -- Harmonise: Resolving Inaccuracies and (Smaller) Inconsistencies -- Abduct: Challenged by Anomalies -- Discussion -- Conclusion -- References -- Co-materialization: Digital Innovation Dynamics in the Offshore Petroleum Industry -- Introduction -- Digital Innovation and Materialization. Methods and Materials -- Case Story: Predictive Maintenance of Topside Chokes -- Sand Influx and Sand Control -- Sand Content and Sand Monitoring -- Erosion Potential and Predictive Choke Maintenance -- Discussion: Digital Innovation and Co-materialization -- Conclusion -- References -- Mutability and Becoming: Materializing of Public Sector Adoption of Open Source Software -- Introduction -- Open Source Adoption and Procurement in the Public Sector -- Ontological Positioning -- Methodology -- Data Collection -- Data Analysis -- Two Cases of Open Source Software Adoption -- Camden Council (CC) -- Bristol City Council (BCC) -- Analysis -- Mutability of Open Source -- Materializing of Open Source - Speed and Time Control -- Conclusion -- References -- Track IV New Ideas in Positivist Research -- Moderating Effect of Environmental Factors on eHealth Development and Health Outcomes: A Country-Level Analysis -- Introduction -- Theoretical Framework -- Hypothesis Development -- Moderating Effect of Macro-economic Stability -- Moderating Effect of GDP Per Capita -- Moderating Effect of Institutions -- Control Variables -- Research Design -- Operationalization of Constructs -- Analysis and Results -- Descriptive Statistics -- Hypothesis Testing -- Discussion -- Conclusion -- Limitations -- Implications and Future Research -- References -- Social Networks and Communication Media for Generating Creative Ideas -- Introduction -- Theoretical Background -- Creativity: Generate Creative Ideas -- Simmelian Ties for Generating Creative Ideas -- Communication Media for Generating Creative Ideas -- Research Model and Hypotheses Development -- Effect of Simmelian Advice Tie -- Effect of Simmelian Friendship Tie -- Effects of Communication Media Mix -- Methodology -- Research Setting -- Measurements -- Analyses Strategy -- Empirical Results -- Preliminary Analyses. Hypothesized Model -- Discussion -- Theoretical Implications -- Practical Implications -- Future Work -- Conclusion -- References -- Cultural Challenges in Information Systems Innovation: The Need for Differentiation Studies -- Introduction -- Culture and IS Innovation -- Cultural Challenges in IS Innovation -- Differentiation -- Externality -- Incompatibility -- Embeddedness -- Cultural Challenge Domino Effect -- The Differentiation Challenge: Opportunities for Research -- Learning about IT across Cultural Boundaries -- Cultural Sense-Making of IT Innovations -- Conclusion -- References -- Track V Innovative Trends in Information Systems Research -- Digital Artifacts as Institutional Attractors: A Systems Biology Perspective on Change in Organizational Routines -- Introduction -- Institutional Change and Digital Artifacts -- System Biology on Change and Stability -- Systems Biology Perspective on Institutional Change -- Discussion -- Conclusion -- References -- Amazon Mechanical Turk: A Research Tool for Organizations and Information Systems Scholars -- Introduction -- Research Data from Amazon Mechanical Turk -- Data about Turkers -- Data about a Research Stimulus -- Data about Reactions to a Research Stimulus -- Case Study -- Conclusion -- References -- Customization of Product Software: Insight from an Extensive IS Literature Review -- Introduction -- Related Work -- Concepts of Product Software -- Customization of Product Software -- Research Approach -- Findings and Discussion -- Levels of Customization -- Intentions of Customization -- Customization as a Service and Future Directions -- Conclusion -- References -- Author Index. EBL202103 XX SzGeCERN BOOK Fitzgerald, Brian https://cds.cern.ch/auth.py?r=EBLIB_P_6299243 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2757735 BOOK MIGRATED 2757727 SzGeCERN 20210421184102.0 9783319665627 electronic version electronic version 9783319665610 print version oai:cds.cern.ch:2757727 cerncds:BOOK EBL 6299172 eng QA75.5 .A383 2017 004 Solano, Andrés Advances in computing 12th Colombian conference, CCC 2017, Cali, Colombia, September 19-22, 2017, proceedings Cham Springer International Publishing AG 2017 813 p ebook Communications in computer and information science 735 Intro -- Preface -- Organization -- Contents -- Information and Knowledge Management -- Exploring the Use of Linked Open Data for User Research Interest Modeling -- 1 Introduction -- 2 Related Work -- 3 Semantic Profiling Process -- 3.1 Semantic Document Annotator -- 3.2 Model Expansion -- 3.3 Weighting and Normalization Module -- 3.4 Model Filtering -- 4 Evaluation -- 4.1 Data Set -- 4.2 Recommendation Algorithm -- 4.3 Evaluation Metrics -- 5 Results -- 6 Conclusions and Future Work -- References -- BiDArch: BigData Architect, Generator of Big Data Solution Architectures -- 1 Introduction -- 2 The Complexity of Dealing with Big Data Problems and the Hadoop Ecosystem -- 3 BiDArch: Automatic Generator of Feasible Architectures from Big Data Problem Specifications -- 3.1 Phase 1: Tools Description Repository Generation -- 3.2 Phase 2: Problem Instances Specification -- 3.3 Phase 3: Feasible Architectures Generation -- 4 BiDArch: Design and Implementation -- 4.1 BiDArch Ontologies -- 4.2 BiDArch Architecture -- 5 Results -- 6 Related Work -- 7 Conclusions -- References -- Automatic Acquisition of Controlled Vocabularies from Wikipedia Using Wikilinks, Word Ranking, and a Dependency Parser -- 1 Introduction -- 2 Related Works -- 3 Acquiring a Controlled Vocabulary from Wikipedia -- 3.1 Extraction of Terms Using Wikilinks -- 3.2 Term Acquisition Using Frequency Ranking -- 3.3 Dependency Parsing -- 3.4 Mixing Sets of Terms -- 3.5 Evaluation Measures -- 4 Experimentation and Results -- 5 Conclusions -- References -- Stochastic Traffic Analysis of Contemporary Internet High-Speed Links -- 1 Introduction -- 2 Methodology -- 2.1 Identification of Main Variables -- 2.2 Basic Statistics -- 2.3 Stationarity Analysis -- 3 Results -- 3.1 Packet Inter Arrival Time (IAT) -- 3.2 Number of Packets per Unit of Time (PPU) -- 3.3 Packet Length (L). 3.4 Traffic Self-similarity -- 3.5 Autocorrelation -- 4 Discussion -- 4.1 Stationarity -- 4.2 Probability Distributions -- 4.3 Monofractality -- 5 Conclusions -- References -- SEAbIRD: Sensor Activity Identification from Streams of Data -- Abstract -- 1 Introduction -- 2 Activity Discovery from Sensor Data -- 3 Activity Discovery Model -- 4 Experimentation -- 5 Implementation and Discussion -- 6 Related Work -- 7 Conclusions and Further Work -- Acknowledgments -- References -- Exploiting Context Information to Improve the Precision of Recommendation Systems in Retailing -- 1 Introduction -- 2 Theoretical Background -- 2.1 Recommendation Systems (RS) -- 2.2 Context Information and Its Integration into RS -- 3 Our Approach -- 3.1 Overview -- 3.2 Data Set -- 3.3 Clustering of Similar Users -- 3.4 Generation of Association Rules -- 3.5 Naïve Bayes Classifier -- 4 Validation -- 4.1 Training Data and Test Data -- 4.2 Precision -- 4.3 Effectiveness -- 5 Related Work -- 6 Conclusion and Future Work -- References -- CDCol: A Geoscience Data Cube that Meets Colombian Needs -- 1 Introduction -- 2 CDCOL Goals -- 3 Related Work -- 3.1 CDCol Background -- 4 Solution Strategy -- 4.1 Bank of Algorithms -- 4.2 Roles -- 4.3 Web User Interface -- 4.4 Parallelism Strategy -- 4.5 Bulk Ingestion -- 4.6 Training Workshops -- 5 Implementation -- 6 Results and Discussion -- 6.1 Future Work -- 7 Conclusions -- References -- G-WordNet: Moving WordNet 3.0 and Its Resources to a Graph Database -- 1 Introduction -- 2 WordNet -- 2.1 WordNet Data Model -- 2.2 Applications -- 2.3 Issues of Storage Models -- 3 Graph Databases -- 4 G-WordNet -- 5 G-WordNet in Use -- 5.1 Deployment -- 5.2 A Lexical Similarity Example -- 6 Perspectives and Potential Uses of G-WordNet -- 6.1 Collaborative Linked Lexicography -- 6.2 Research Tool for Computational Linguistics. 6.3 Off-the-shelf NLP for Applications -- 6.4 Educational Tool -- 7 Conclusion -- References -- CREAMINKA: An Intelligent Ecosystem Based on Ontologies and Artificial Intelligence to Manage Research Processes, Knowledge Generation and Scientific Production in Higher Education -- 1 Introduction -- 2 Related Work -- 3 General System Architecture -- 3.1 Definition of the Ontology -- 4 Experimentation Plan and Preliminary Results -- 4.1 Analysis of the Articles -- 4.2 Inferring Improbable Peers -- 5 Conclusions -- References -- Process Model Proposal for Requirements Engineering in Information Mining Projects -- Abstract -- 1 Introduction -- 2 Problem Description -- 3 Proposed Solution Model -- 3.1 Phase of Project Definition -- 3.2 Phase of Business Processes Engineering -- 3.3 Phase of Business Process Data Engineering -- 3.4 Phase of Business Conceptualization -- 3.5 Phase of Information Mining Process Specification -- 4 Requirements Formalization Processes -- 4.1 Process of Objective Identification, Success Criteria and Project Expectations -- 4.2 Process of Identifying Project Assumptions and Restrictions -- 4.3 Process of Identifying Risks and Project Contingency Plans -- 4.4 Process of Business Domain Formalization -- 4.5 Process of Project Requirements Review -- 5 Influence of the Proposed Process Model on Project Duration -- 6 Conclusions -- References -- An Experimental Analysis of Feature Selection and Similarity Assessment for Textual Summarization -- 1 Introduction -- 2 Background and Related Work -- 2.1 CSTSumm -- 2.2 LexRank -- 2.3 Centrality -- 3 FuzzyRank -- 4 Experiment Setup -- 4.1 Results -- 5 Conclusion -- References -- Application of Data Mining Algorithms to Classify Biological Data: The Coffea canephora Genome Case -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Coffea canephora Data -- 2.2 Transposable Elements. 2.3 Bioinformatics -- 2.4 Data Mining -- 3 Materials and Methods -- 3.1 Bioinformatics Processes -- 3.2 Informatics Process -- 4 Analysis of Results -- 4.1 Segment of Records Without Families -- 4.2 Segment of Records with Families -- 5 Conclusions and Future Work -- Acknowledgements -- References -- Detection of Topics and Construction of Search Rules on Twitter -- 1 Introduction -- 1.1 Findings and Contributions -- 2 Related Work -- 2.1 Tweet Cleaning -- 2.2 Topics Classification -- 2.3 SNOW 2014 Data Challenge -- 3 System Overview -- 3.1 Modifications -- 3.2 Search Rules -- 4 Implementation -- 4.1 Tweets Preprocessing -- 4.2 Tweets Vectorization and Distance Matrix -- 4.3 Clustering -- 4.4 Second Clustering -- 5 Results -- 6 Conclusion -- 7 Future Work -- References -- Content In-context: Automatic News Contextualization -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Event Tracking Approach -- 2.2 Search Engine Approach -- 2.3 Contextualization Approach -- 3 Content In-context -- 3.1 Vector Space Model Construction -- 3.2 Named Entity Recognition -- 3.3 Context Recognition -- 3.4 Information Enrichment -- 3.5 Data Sources -- 4 Experiments and Results -- 4.1 Evaluation Method -- 4.2 Results -- 4.2.1 Named Entity Recognition -- 4.2.2 Context Recognition Results -- 4.2.3 End User Application -- 5 Conclusions and Future Work -- References -- Predicting the Programming Language: Extracting Knowledge from Stack Overflow Posts -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Description of Each Module/Step -- 4 Experimental Evaluation -- 4.1 DataSet -- 4.2 Experimental Setup -- 4.3 Results -- 5 Conclusions and Future Work -- References -- Computer Assisted Assignment of ICD Codes for Primary Admission Diagnostic in ICUs -- 1 Introduction -- 2 Materials and Methods -- 2.1 ICD Classification System. 2.2 ICU Diagnosis Database Construction -- 2.3 Preprocessing -- 2.4 Dictionary Construction -- 2.5 Term-Document Representation -- 2.6 ICD Code Assignation -- 3 Experimental Settings -- 4 Results -- 4.1 Annotated Database Construction -- 4.2 ICD Codification Task -- 5 Discussion -- References -- Software Engineering and IT Architectures -- Architecture for a Colombian Data Cube Using Satellite Imagery for Environmental Applications -- Abstract -- 1 Introduction -- 2 Towards the Effective Use of Satellite Imagery for Environmental Applications -- 2.1 General Context for Remote Sensing Imagery Applications -- 2.2 State of the Art -- 3 The Proposed Solution: CDCOL -- 3.1 General View -- 3.2 Design Fundamentals -- 3.3 Proposed Architecture -- 4 Development and Implementation -- 4.1 Implementation of Data Cubes on the IDEAM Infrastructure -- 4.2 Algorithms Developed -- 5 Results -- 6 Current Improvements and Further Developments -- References -- FINFLEX-CM: A Conceptual Model for Financial Analysis of Solution Architectures Considering the Uncertainty and Flexibility -- 1 Introduction -- 2 Background About Solution Architectures, Financial Analysis, and Conceptual Models -- 3 Literature Review -- 4 Research Method for Designing FINFLEX-CM -- 4.1 Identify Problem and Objectives of FINFLEX-CM -- 4.2 Design FINFLEX-CM -- 5 FINFLEX-CM: A Conceptual Model for Financial Analysis of Solution Architectures Considering the Uncertainty and Flexibility -- 5.1 Classes and Relationships -- 5.2 Attributes -- 6 Discussion and Future Work -- References -- Low-Cost Fire Alarm System Supported on the Internet of Things -- Abstract -- 1 Introduction -- 2 State of the Art -- 3 Guidelines for the Design of IoT Solutions -- 3.1 Requirements Identification -- 3.2 Requirements Identification -- 4 Implementation -- 4.1 Requirements -- 4.2 Requirements. 5 Conclusions and Future Work. EBL202103 XX SzGeCERN BOOK Ordoñez, Hugo https://cds.cern.ch/auth.py?r=EBLIB_P_6299172 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757727 BOOK MIGRATED 2757718 SzGeCERN 20210421184102.0 9783319420899 electronic version electronic version 9783319420882 print version oai:cds.cern.ch:2757718 cerncds:BOOK EBL 6299121 eng QA75.5 .C667 2016 004 Gervasi, Osvaldo Computational science and its applications - ICCSA 2016 16th international conference, Beijing, China, July 4-7, 2016, proceedings, part IV Cham Springer International Publishing AG 2016 728 p ebook Lecture notes in computer science 9789 Intro -- Preface -- Organization -- Contents - Part IV -- Where the Streets Have Known Names -- 1 Introduction -- 2 Related Work -- 2.1 Toponymy and Street Names -- 2.2 Linked Open Data -- 3 Street Name Matching Method -- 3.1 Toponym Retrieval -- 3.2 Entity Retrieval -- 3.3 Entity Ranking -- 4 Evaluation -- 5 Results and Discussion -- 6 Crowd Sourcing Local Knowledge -- 6.1 Requirements -- 6.2 Storyboard -- 6.3 Software Architecture -- 7 Conclusion and Future Work -- References -- Functions and Perspectives of Public Real Estate in the Urban Policies: The Sustainable Development Plan of Syracuse -- Abstract -- 1 Introduction -- 2 Case Study -- 3 Methods and Procedures -- 3.1 Urban Perspective: The Redevelopment of the Borgo S. Antonio Quarter -- 3.2 Public Properties Appraisal -- 3.3 PPP - Public Private Partnership -- 3.4 Italian Real Estate Investment Funds -- 3.5 Jessica -- 3.6 Risk Approach -- 4 Results and Discussions -- 4.1 Generating Strategies: Urban Equalization and Regeneration -- 4.2 Real Estate Development of the Two Properties: Appraisals -- 4.3 Real Estate Finance: Scenario Analyses -- 5 Conclusions -- Acknowledgements -- References -- Soil Loss, Productivity and Cropland Values GIS-Based Analysis and Trends in the Basilicata Region (Southern Italy) from 1980 to 2013 -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Methodology - USPED -- 3 Data Analysis and Results -- 3.1 USPED Method Application -- 3.1.1 Rainfall Erosivity -- 3.1.2 Soil Erodibility -- 3.1.3 Slope-Length Factor -- 3.1.4 Cover and Management Factor -- 3.1.5 Model Application and Validation -- 4 Discussion and Final Remarks -- References -- Fair Planning and Affordability Housing in Urban Policy. The Case of Syracuse (Italy) -- Abstract -- 1 Introduction -- 2 Materials -- 3 Methods -- 3.1 Equalization and Compensation Pattern. 3.2 Housing Affordability -- 4 Application of the Equalization Pattern -- 5 Discussion. Compensation Scenarios for Social Housing -- 6 Conclusions -- Acknowledgements -- References -- Cap Rate and the Historic City. Past and Future of the Real Estate of Noto (Italy) -- Abstract -- 1 Introduction -- 2 Materials. Noto Real Estate -- 3 Methods -- 3.1 General Issues -- 3.2 Procedure -- 4 Results and Discussions -- 4.1 Clustering Analysis -- 4.2 Costs Calculation -- 4.3 Ordinary and Extra-Ordinary Incomes -- 4.4 Capitalization Rates -- 5 Conclusions -- Acknowledgements -- References -- Industrial Areas and the City. Equalization and Compensation in a Value-Oriented Allocation Pattern -- Abstract -- 1 Introduction -- 2 Materials -- 3 Methods and Procedures -- 3.1 Objectives, Data Sources, Information -- 3.2 The MAVT Approach to Select and Allocate the Enterprises in a Sustainable Way -- 3.3 Equalization and Compensation -- 4 Applications and Results -- 4.1 The Allocation of the Areas to the Firms -- 4.2 Results of the Equalization and Compensation Process -- 5 Discussions and Conclusions -- Acknowledgements -- References -- Environmental Noise Sensing Approach Based on Volunteered Geographic Information and Spatio-Temporal ... -- Abstract -- 1 Introduction -- 2 Related Work -- 3 The Proposed Methodology -- 3.1 Prediction Model at Geographic Neighborhood-Level -- 3.2 Time Intervals -- 3.3 Generalities of the Prediction Model for Environmental Noise -- 4 The Case Study -- 5 Experimental Results -- 5.1 Prediction Model Based on Support Vector Machine -- 5.1.1 Performance of the Artificial Neural Networks -- 5.1.2 Performance of the Support Vector Machine -- 5.1.3 Performance Comparison Between ANN and SVM -- 5.2 Visualization of Environmental Noise Maps -- 6 Conclusion and Future Work -- Acknowledgments -- References. A Knowledge-Based Approach for the Implementation of a SDSS in the Partenio Regional Park (Italy) -- Abstract -- 1 Introduction -- 2 A Spatial Decision-Making Process for the Landscape Evaluation. A Literature Review -- 3 The Methodological Steps of the Knowledge-Based Approach -- 4 Case Study -- 4.1 The Representation and the Process Models -- 4.2 Outcome: Two Evaluation Scenario for the Tourism Development Through WLC Method -- 5 Conclusions -- References -- Factors of Perceived Walkability: A Pilot Empirical Study -- Abstract -- 1 Introduction -- 2 Background -- 3 Experimental Design -- 4 Results -- 5 Conclusion -- References -- Evaluating the Effect of Urban Intersections on Walkability -- Abstract -- 1 Introduction -- 2 Background and Related Research -- 3 The Evaluation Model -- 4 A Case Study of Application of the Evaluation Method -- 4.1 Study Area -- 4.2 Data and Evaluation Criteria -- 4.3 The Evaluation Procedure -- 4.4 Prioritizing Intersections -- 5 Discussion of Results -- 6 Conclusions and Future Work -- References -- Coupling Surveys with GPS Tracking to Explore Tourists' Spatio-Temporal Behaviour -- Abstract -- 1 Introduction -- 2 Background -- 3 The Case Study -- 3.1 Exploratory Data Analysis of Interviews and Tourists Profiling -- 3.2 Tourists' Spatial Behaviour -- 3.3 Time Use by Tourist Profiles -- 4 Conclusions -- References -- Countryside vs City: A User-Centered Approach to Open Spatial Indicators of Urban Sprawl -- Abstract -- 1 Introduction: Actionable Knowledge About Urban Sprawl -- 2 Conceptual Background: Open Spatial Indicators and Urban Sprawl in a European Perspective -- 3 Research Design -- 3.1 Research Approach and Process -- 3.2 Data and Analytical Methods -- 3.3 Research Context -- 4 Discussion of Preliminary Results -- 4.1 Classifying Urban Forms Based on Landscape Metrics. 4.2 Land Use Matters: Sorting Out Sprawl Patterns According to Urban Functions -- 4.3 Putting Socio-Economic Drivers into the Picture: Land Use Efficiency -- 4.4 Sprawling in Time: Tracking Urban Change to Understand Land Taking Processes -- 5 Concluding Remarks and Future Developments -- Acknowledgments -- References -- Integrating Financial Analysis and Decision Theory for the Evaluation of Alternative Reuse Scenarios of Historical Buildings -- Abstract -- 1 Introduction -- 2 Case of Study -- 2.1 The Context -- 2.2 Calculation of Likelihood Function of NPV -- 3 Probabilistic Analysis of the Re-Use Revenue for Determining the Expected Value -- 4 The Gaming Among DM -- 5 The Coalition Among DM -- 5.1 The Intersection Between Expected Utility and Likelihood -- 6 Conclusion -- Acknowledgements -- References -- Spatial Analysis for the Study of Environmental Settlement Patterns: The Archaeological Sites of the Santa Cruz Province -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Map Algebra -- 2.2 Predictive Models -- 3 The Study Case -- 3.1 The Study Area -- 3.2 The Archaeological Settings and the Sites of Santa Cruz -- 3.3 The Archaeological Sensibility Evaluation (ASE) Model -- 4 Results -- 5 Final Discussion -- Acknowledgments -- References -- Self-renovation in Rome: Ex Ante, in Itinere and Ex Post Evaluation -- Abstract -- 1 Introduction -- 2 Aims of the Work and Assessment Approach -- 2.1 General Aims and Particular Focus -- 2.2 Assessment Approach and Perimeter of Investigation -- 3 Projects of Self-renovation of School Buildings in the City of Rome for Residential Purposes -- 3.1 Decisions and Repercussions Regarding the Procedures for Identifying the Structures and Determin ... -- 3.2 Decisions and Repercussions Tied to the Procedures for the Planning, Design and Execution of the ... 4 Considerations and Strategies of Action to Be Followed (in Advance) for the Development of Future ... -- 5 Conclusions -- References -- Enhancing an IaaS Ontology Clustering Scheme for Resiliency Support in Hybrid Cloud -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Problem Issues -- 4 The IaaS Service Discovery -- 4.1 Initial Approach -- 4.2 The IaaS Cloud Service Ontology -- 5 Clustering Using Some Existing Methods -- 5.1 Similarity Computation -- 5.2 Clustering Results -- 6 Enhancing the Clustering Scheme -- 6.1 Problem Issues -- 6.2 The Clustering Procedure -- 6.3 Verification and Performance Test -- 6.4 Test Environment -- 6.5 Experiment Results -- 7 Conclusion and Future Work -- Acknowledgment -- References -- A Simple Stochastic Gradient Variational Bayes for Latent Dirichlet Allocation -- 1 Introduction -- 2 Stochastic Gradient Variational Bayes -- 3 Our Proposal -- 3.1 Lower Bound Estimation -- 3.2 Maximization of Lower Bound -- 3.3 Estimation Without Sampling -- 4 Experiment -- 4.1 Data Sets -- 4.2 Evaluation Method -- 4.3 Inference Settings -- 4.4 Evaluation Results -- 4.5 Effect of Sampling -- 5 Conclusion -- References -- On Optimizing Partitioning Strategies for Faster Inverted Index Compression -- 1 Introduction -- 2 Background -- 2.1 Index Compression -- 2.2 Directed Acyclic Graph -- 3 Optimizing Partitioning Strategy via Pruning DAG -- 3.1 VSEncoding -- 3.2 Optimized Partitioning Strategy -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Indexing Performance -- 4.3 Decompression Performance -- 5 Conclusion and Future Work -- References -- The Analysis for Ripple-Effect of Ontology Evolution Based on Graph -- 1 Introduction -- 2 The Function of Property in Ontology Evolution -- 3 Extracting Semantic Relationships in Ontology -- 3.1 Semantic Relationships -- 3.2 Quantization for the Strength of Semantic Relationship. 3.3 Construction of SRG Graph Model. EBL202103 XX SzGeCERN BOOK Murgante, Beniamino Misra, Sanjay Rocha, Ana Maria A C Torre, Carmelo M Taniar, David Apduhan, Bernady O Stankova, Elena Wang, Shangguang https://cds.cern.ch/auth.py?r=EBLIB_P_6299121 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757718 BOOK MIGRATED 2757638 SzGeCERN 20210421184106.0 9783319292366 electronic version electronic version 9783319292359 print version oai:cds.cern.ch:2757638 cerncds:BOOK EBL 6298665 eng QA76.5915 .C668 2016 004 Vinh, Phan Cong Context-aware systems and applications 4th international conference, ICCASA 2015, Vung Tau, Vietnam, November 26-27, 2015, revised selected papers Cham Springer International Publishing AG 2016 463 p ebook Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 165 Intro -- Preface -- Organization -- Contents -- Products and Coproducts of Autonomic Systems -- 1 Introduction -- 2 Outline -- 3 Autonomic Systems (ASs) -- 4 Products and Coproducts of Autonomic Systems -- 5 Conclusions -- References -- Finite Limits and Colimits in Autonomic Systems -- 1 Introduction -- 2 Outline -- 3 Basic Concepts -- 4 Finite Limits in Autonomic Systems -- 4.1 Pullbacks of Autonomic Systems -- 4.2 Spans on Autonomic Systems -- 4.3 Equalizers of Self-* -- 5 Finite Colimits in Autonomic Systems -- 5.1 Pushouts of Autonomic Systems -- 5.2 Coequalizers of Self-* -- 6 Conclusions -- References -- A Context-Aware Healthcare Architecture for the Elderly -- 1 Introduction -- 1.1 Context Awareness -- 2 Related Systems -- 3 Entity Model -- 4 Architectural Design -- 4.1 Basic Concepts -- 4.2 Architecture Modules -- 5 Conclusion -- References -- Snapcab: Urban Scale Context-Aware Smart Transport Using Adaptive Context Tries -- 1 Introduction -- 2 Related Work -- 3 Adaptive Context Tries (ACT) -- 3.1 Formal Problem Definition -- 3.2 Trie Structure -- 3.3 Processing a New Travel Request -- 4 Cluster-Based Optimisation -- 5 Simulation Results -- 6 Conclusion and Future Work -- References -- Sound Waves Gesture Recognition for Human-Computer Interaction -- Abstract -- 1 Introduction -- 2 Sound Waves Gestures Recognition System -- 2.1 Sound Waves Acquisition Based on Doppler Effect -- 2.2 Features Extraction -- 2.3 Gestures Classification -- 2.4 Gesture Recognition and Control Application Interface -- 3 Experiment and Results -- 3.1 Sound Waves Gesture Recognition System -- 3.2 Environmental Construction and Operation of the Application -- 3.3 Experimental Results -- 4 Conclusion -- References -- Context-Based Classifier Grids Learning for Object Detection in Surveillance Systems -- Abstract -- 1 Introduction -- 2 Related Works. 3 Classifier Grids Learning -- 3.1 Classifier Grids -- 3.2 Learning for Classifier Grids -- 4 Experimental Evaluation and Results -- 4.1 PETS Dataset -- 4.2 CAVIAR Dataset -- 5 Conclusion -- References -- Using the Cumulative Sum Algorithm Against Distributed Denial of Service Attacks in Internet of Things -- Abstract -- 1 Introduction -- 2 Background and Related Work -- 2.1 TCP SYN Flooding Attack -- 2.2 Anomaly and Change Detection Algorithms -- 2.3 Cumulative Sum (CUSUM) Algorithm -- 2.4 Related Work -- 3 The Research Design -- 4 Results and Discussions -- 4.1 The Effect of the Amplitude Factor (α) -- 4.2 The Effect of the Weighting Factor (β) -- 4.3 Trade-off Between False Positive Rate and Detection Rate -- 4.4 Trade-off Between Detection Rate and Detection Delay -- 5 Conclusions -- References -- Memory Resource Estimation of Component-Based Systems -- 1 Introduction -- 2 Related Work -- 3 Interface and Interface Modeling -- 3.1 Memory Resource Design -- 3.2 Interface and Environment Modeling -- 3.3 Automata Interface Composition -- 4 Estimating Memory Resources -- 5 Conclusion -- References -- Context-Aware Approach for Determining the Threshold Price in Name-Your-Own-Price Channels -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Proposed Context-aware Framework -- 4 Context-aware Framework Implementation for NYOP Channels -- 5 Experiments and Results -- 6 Conclusion -- References -- Travel Destination Recommendation Based on Probabilistic Spatio-temporal Inference -- Abstract -- 1 Introduction -- 2 Previous Work -- 2.1 Travel Destination Recommendation -- 2.2 Probabilistic Spatio-temporal Inference -- 3 The Method of Travel Destination Recommendation -- 3.1 Extended Jeju Travel Ontology -- 3.2 Probabilistic Spatio-temporal Inference -- 4 Experiment and Evaluation -- 5 Conclusion -- Acknowledgment -- References. MBTI-Based Collaborative Recommendation System: A Case Study of Webtoon Contents -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Existing Recommendation Systems for the Webtoon -- 2.2 Recommendation System Based on Personality Information -- 3 MBTI-Based Collaborative Filtering -- 3.1 Normalizing Ratings and Grouping Users by MBTI -- 3.2 Computing Similarities Between Users in Neighborhood -- 3.3 Estimating Prediction of User-Preference -- 4 Experimental Results and Analysis -- 4.1 Experimental Environment -- 4.2 Performance Evaluation -- 4.3 Dealing with Data Sparsity -- 4.4 Improvement of the Scalability -- 4.5 Result Analysis -- 5 Conclusion -- Acknowledgments -- References -- Social Affinity-Based Group Recommender System -- 1 Introduction -- 2 Related Work -- 3 Measuring Social Affinity Between Two Users -- 3.1 Movie Features and Preprocessing -- 3.2 Weighted Feature Based on TF-IDF -- 3.3 Movie Similarity Based on the Weighted Feature -- 3.4 Social Affinity Based on Movie Similarity -- 4 Exploiting Social Affinity Graph to Group Recommendation -- 4.1 Social Affinity Between Two Users on the Network Graph -- 4.2 Social Affinity of the Users to Group -- 4.3 Recommendation Based on the Social Affinity -- 5 Experiment -- 6 Conclusions and Future Work -- References -- Context-Based Traffic Recommendation System -- 1 Introduction -- 2 System Architecture -- 3 The Proposed Algorithm for Context-Based Traffic Recommendation System -- 3.1 Phase 1: Estimate the Time Between Two Nodes -- 3.2 Phase 2: Recommendation Algorithm -- 4 Discussion -- 5 Conclusion and Future Work -- References -- User Timeline and Interest-Based Collaborative Filtering on Social Network -- 1 Introduction -- 2 Related Work -- 3 User Timeline and Interest-Based Collaborative Filtering Recommendation Systems -- 3.1 User Timeline and User Interest. 3.2 Collaborative Filtering Approach -- 4 Concluding Remarks -- References -- Community Centrality-Based Greedy Approach for Identifying Top-K Influencers in Social Networks -- 1 Introduction -- 2 Related Work -- 3 Community Centrality-Based Greedy Algorithm -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Evaluation Metrics -- 4.3 Results -- 5 Conclusion -- References -- Context-Based Service Identification in the Museum Environment -- 1 Introduction -- 2 Related Work -- 3 Museum Environment -- 4 Context Information Analysis -- 4.1 Context Information (CI) -- 4.2 CI Acquisition -- 4.3 Composite Context (CC) -- 4.4 Essential Context-Derived Reasons (ECR) -- 5 UMS Identification System -- 6 Application of Proposed Technique in the Museum Environment -- 7 System Implementation -- 7.1 Results and Discussion -- 8 Conclusion and Future Works -- References -- A Federated Approach for Simulations in Cyber-Physical Systems -- 1 Introduction -- 2 Related Work -- 3 Mixed Simulations -- 3.1 Modeling Physical Systems Based on Cellular Automata -- 3.2 River Pollution Diffusion Model -- 3.3 Forest Fire Spread Model -- 3.4 Wireless Sensor Network Model -- 3.5 Parallel Simulations -- 3.6 Mixed Simulations -- 4 Federation of Simulations -- 4.1 Exchanging Data -- 4.2 Time Management -- 5 Experiment -- 5.1 Data Used -- 5.2 FEMIS Tool -- 5.3 Scenario 1 - The Parallel Simulation of Pollution Diffusion in the River -- 5.4 Scenario 2 - The Interactions Between the Forest and the River Federate -- 5.5 Scenario 3 - The Federation of Mixed Simulation with the Four Federates: River, Forest, WSN, and Observer -- 6 Conclusion -- References -- Forecasting the Brown Plant Hopper Infection Levels Using Set-Valued Decision Rules -- Abstract -- 1 Introduction -- 2 Set-Valued Decision Rules -- 2.1 Set-Valued Decision Information System -- 2.2 Maximal Tolerance Class. 2.3 Set-Valued Decision Rules -- 3 Forecasting the BPH Infection Level Using the Set-Valued Decision Rules -- 3.1 The Set-Valued Decision Information System of the BPH Forecast -- 3.2 Forecasting the Migration of BPH - Scenario 1 -- 3.3 Forecasting the Migration of BPH - Scenario 2 -- 4 Experiment -- 4.1 Experimental Data -- 4.2 Tool SSBPH -- 4.3 Identifying the Migration of BPH - Scenario 1 -- 4.4 Identifying the Migration of BPH - Scenario 2 -- 5 Conclusion -- References -- The Coverage Model for the Forest Fire Detection Based on the Wireless Sensor Network -- Abstract -- 1 Introduction -- 2 The Forest Coverage Problem -- 2.1 Modeling the Coverage Problem -- 2.2 The Coverage Graph Based on the Wireless Sensor Network -- 2.3 Defining the Coverage Area -- 2.4 Defining the Minimum Coverage Groups -- 3 Experiments -- 3.1 Experimental Data -- 3.2 CGFNET Tool -- 3.3 Scenarios -- 4 Conclusion -- References -- Information Systems Success: The Project Management Information System for ERP Projects -- Abstract -- 1 Introduction -- 2 Research Model -- 2.1 Literature Review -- 2.2 Theoretical Framework -- 2.3 Methodology -- 3 Research Results -- 3.1 Project Characteristics -- 3.2 Model and Hypotheses Testing -- 3.3 Discussions -- 4 Conclusions and Future Work -- Acknowledgment -- References -- Human Object Classification Based on Nonsubsampled Contourlet Transform Combined with Zernike Moment -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Select a New Generation Wavelet Transform -- 2.2 Zernike Moment -- 3 Object Classification Based on NSCT Combined with Zernike Moment -- 3.1 Moving Object Detection -- 3.2 Feature Extraction -- 3.3 Object Classification -- 4 Experiments and Results -- 5 Conclusion -- Acknowledgments -- References -- Efficient Brain Tumor Segmentation in Magnetic Resonance Image Using Region-Growing Combined with Level Set -- Abstract. 1 Introduction. EBL202103 XX SzGeCERN BOOK Alagar, Vangalur https://cds.cern.ch/auth.py?r=EBLIB_P_6298665 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757638 BOOK MIGRATED 2757637 SzGeCERN 20210421184106.0 9783319973104 electronic version electronic version 9783319973098 print version oai:cds.cern.ch:2757637 cerncds:BOOK EBL 6298659 eng Q334 .P753 2018 006.3 Geng, Xin PRICAI 2018 15th Pacific rim international conference on artificial intelligence, Nanjing, China, August 28-31, 2018, proceedings, part II Cham Springer International Publishing AG 2018 551 p ebook Lecture notes in computer science 11013 Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- An Improved Artificial Immune System Model for Link Prediction -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Improved Artificial Immune System Model for Link Prediction -- 3.1 Definition of Dynamic Link Prediction Features -- 3.2 Algorithm for Link Prediction -- 4 Experimental Evaluation -- 4.1 Dataset -- 4.2 Performance Evaluation with Different Baseline Methods in Literature -- 4.3 Analysis of Different Factors' Impacts in Link Prediction -- 5 Conclusion -- References -- Anchored Projection Based Capped l2,1-Norm Regression for Super-Resolution -- 1 Introduction -- 2 Related Work -- 2.1 Simple Functions for Super-Resolution -- 2.2 Anchored Neighborhood Regression (ANR) -- 3 Proposed Method -- 3.1 Capped l2,1-Norm Regression -- 3.2 Converge Analysis -- 4 Experimental Results -- 4.1 Experimental Settings -- 4.2 Parameters Analysis -- 4.3 Compared Methods -- 5 Conclusion -- References -- Query Expansion Based on Semantic Related Network -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Problem Description and Definitions -- 4 Semantic Related Network Construction -- 5 Heuristic Query Expansion -- 6 Experimental Results -- 6.1 Accuracy -- 6.2 Effectiveness -- 7 Conclusion -- Acknowledgement -- References -- Improving the Stability for Spiking Neural Networks Using Anti-noise Learning Rule -- Abstract -- 1 Introduction -- 2 The SRM Neuron Model and Learning Rule -- 3 The Anti-noise SNN Learning Rule -- 4 Experimental Results -- 4.1 XOR Task -- 4.2 WBC Task -- 5 Conclusions -- Acknowledgement -- References -- An Improved Convolutional Neural Network Model with Adversarial Net for Multi-label Image Classification -- 1 Introduction -- 2 Improved CNN Model -- 3 Using Adversarial Network to Improve Accuracy -- 3.1 Adversarial Spatial Dropout Network Training. 3.2 Joint Learning -- 4 Experiment -- 4.1 Datasets and Evaluation Measures -- 4.2 Image-Fine-Tuning on Multi-label Image Set -- 4.3 Results on Corel 5K and VOC 2012 -- 5 Conclusion -- References -- Integrating Multiscale Contrast Regions for Saliency Detection -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Integrating Multiscale Contrast Regions Deep Network -- 4 Multi-level Maps Fusion -- 5 Experiment Result -- 5.1 Performance Comparison -- 5.2 Speed Improvement -- 6 Conclusions -- References -- Automatic Conditional Generation of Personalized Social Media Short Texts -- Abstract -- 1 Introduction -- 2 The Conditional Language Generation Model -- 2.1 Psychological Text Classification Model -- 2.2 The Text Generator -- 3 Text Generation Results -- 3.1 Newly-Generated Text Samples -- 3.2 The Human Evaluation of Generated Texts -- 3.3 The BFP Scores of Generated Texts -- 4 Conclusions and Limitations -- Acknowledgement -- References -- Deep Multi-modal Learning with Cascade Consensus -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Deep Canonical Correlation Analysis (DCCA) -- 3.2 Cascade Deep Multi-Modal Networks (CDMM) -- 4 Experiments -- 4.1 Datasets and Configurations -- 4.2 Comparing with CCA-Based Multi-modal Methods -- 4.3 Investigation on Embedding of Different Layers -- 4.4 Empirical Investigation on Convergence -- 5 Conclusion -- References -- Driving the Narrative Flow of an Interactive Storytelling System for Case Studies -- Abstract -- 1 Introduction -- 2 Storytelling Knowledge -- 2.1 Event Model -- 2.2 Domain Knowledge Base -- 2.3 Story World Model -- 3 Planning the Case Narrative -- 4 Results and Analysis -- 5 Conclusion -- References -- Pum-Riang Thai Silk Pattern Classification Using Texture Analysis -- 1 Introduction -- 2 Previous Work -- 3 Design -- 3.1 Image Enhancement -- 3.2 Feature Extraction. 3.3 Feature Selection -- 3.4 Classifier Training -- 4 Evaluation -- 4.1 Methodology -- 4.2 Feature Extraction -- 4.3 Feature Selection -- 4.4 Number of Features -- 4.5 Classifier -- 4.6 Prediction Performance on Test Set -- 5 Conclusion -- References -- Fuzzy Rough Based Feature Selection by Using Random Sampling -- Abstract -- 1 Introduction -- 2 Preliminaries -- 2.1 FRS -- 2.2 Attribute Reduction Based on FRS -- 3 Random Sampling Based FRS -- 4 Random Reduction Algorithm -- 5 Numerical Experiment -- 5.1 Compare CAR with RAR -- 5.2 Compare IAR with RAR -- 6 Conclusions -- References -- Segmenting Sound Waves to Support Phonocardiogram Analysis: The PCGseg Approach -- 1 Introduction -- 2 Previous Work -- 2.1 Segmenting Point Series -- 2.2 PCG Segmentation -- 3 Formalism -- 4 PCGseg -- 4.1 Motif Detection -- 5 Evaluation -- 5.1 Evaluation Data Set -- 5.2 Runtime Evaluation -- 5.3 Classification Accuracy -- 6 Discussion -- 7 Conclusions -- References -- A Lazy One-Dependence Classification Algorithm Based on Selective Patterns -- 1 Introduction -- 2 Background -- 3 A Lazy Classification Algorithm Based on Selective Patterns -- 3.1 Characterization of Discriminative Patterns -- 3.2 A Lazy One-Dependence Classification Algorithm -- 4 Experiments and Evaluations -- 4.1 Parameter Analysis -- 4.2 Empirical Setup -- 4.3 Error Rate Analysis -- 5 Conclusion and Future Work -- References -- A Client-Assisted Approach Based on User Collaboration for Indoor Positioning -- Abstract -- 1 Introduction -- 2 Proposed Approach -- 2.1 CA System Model -- 2.2 CA Algorithm -- 3 Influence of Density Distribution -- 3.1 Effects of AP Density Distribution -- 3.2 The Influence of User Distribution -- 4 Implementation and Evaluation -- 4.1 Environmental Setup -- 4.2 Efficiency Improvement -- 5 Conclusion and Future Work -- References. Achieving Multiagent Coordination Through CALA-rFMQ Learning in Continuous Action Space -- 1 Introduction -- 2 Preliminaries -- 2.1 CALA -- 2.2 rFMQ -- 3 CALA-rFMQ -- 3.1 Optimum Discrete Actions Using rFMQ with PHC -- 3.2 Win or Learn Slow Continuous Action Learning Automata (WoLS-CALA) -- 4 Experimental and Conclusion -- References -- Environmental Reconstruction for Autonomous Vehicle Based on Image Feature Matching Constraint and Score -- Abstract -- 1 Introduction -- 2 Proposed Framework -- 3 Experiment -- 4 Conclusion -- References -- An Improved Particle Filter Target Tracking Algorithm Based on Color Histogram and Convolutional Network -- 1 Introduction -- 2 Framework of BCH-CN-PF Algorithm -- 3 Description of BCH-CN-PF Algorithm -- 3.1 Image Preprocessing -- 3.2 Block Color Histogram -- 3.3 Convolutional Network Model -- 3.4 Improved Particle Filtering Algorithm -- 4 Experiments and Analysis -- 4.1 Quantitative Analysis -- 4.2 Qualitative Analysis -- 5 Summary -- References -- Mini-Batch Variational Inference for Time-Aware Topic Modeling -- 1 Introduction -- 2 Method -- 3 Experiment -- 4 Related Work -- 5 Conclusion -- References -- Using Differential Evolution to Estimate Labeler Quality for Crowdsourcing -- 1 Introduction -- 2 A Differential Evolution-Based Weighted Consensus Method in Crowdsourcing -- 3 Experiments and Results -- 4 Conclusions and Future Work -- References -- A Search Optimization Method for Rule Learning in Board Games -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 General Game Playing and Game Description Language -- 3.2 Rule Learning -- 4 Learning Search Rules -- 5 Experiment Results -- 6 Conclusion and Future Work -- References -- Image Segmentation Based on MRF Combining with Deep Learning Shape Priors -- Abstract -- 1 Introduction. 2 Image Segmentation Based on MRF Combining with Deep Learning Shape Priors -- 2.1 MRF Image Segmentation -- 2.2 Appearance Priori -- 2.3 Deep Learning Shape Prior -- 3 Experimental Results and Analysis -- 4 Conclusion -- References -- An Automated Matrix Profile for Mining Consecutive Repeats in Time Series -- 1 Introduction -- 2 Related Work and Limitations -- 3 Problem Statement -- 4 Experimental Evaluation -- 5 Conclusion -- References -- High-Resolution Depth Refinement by Photometric and Multi-shading Constraints -- 1 Introduction -- 2 Our Approach -- 2.1 The Model -- 2.2 Optimization -- 2.3 The Algorithm and Implementation Details -- 3 Experiments -- 3.1 Setup -- 3.2 Quantitative Comparison -- 4 Conclusion -- References -- Weakly-Supervised Object Localization by Cutting Background with Deep Reinforcement Learning -- 1 Introduction -- 2 Methodology -- 2.1 Overview -- 2.2 Deep Reinforcement Learning for Localization -- 2.3 Refinement -- 3 Experiment -- 3.1 Network Training -- 3.2 Localization Prediction Metric -- 3.3 Performance and Analysis -- 4 Conclusion -- References -- Nature-Inspired Computational Model for Solving Bi-objective Traveling Salesman Problems -- 1 Introduction -- 2 Related Work -- 2.1 Basic Concepts of MOOP and Pareto-Optimal Solutions -- 2.2 The Definition of BTSP -- 3 Physarum-inspired NSGA_ii for BTSP -- 3.1 The Formulation of GA-based BTSP Method -- 3.2 The Formulation of pNSGA_ii -- 4 Experiments -- 4.1 Datasets and Parameters -- 4.2 Experimental Results -- 5 Conclusions -- References -- Differential Evolution-Based Weighted Majority Voting for Crowdsourcing -- 1 Introduction -- 2 Differential Evolution-Based Weighted Majority Voting -- 3 Experiments and Results -- 4 Conclusions -- References -- Scalable Machine Learning Techniques for Highly Imbalanced Credit Card Fraud Detection: A Comparative Study -- Abstract. 1 Introduction. EBL202103 XX SzGeCERN BOOK Kang, Byeong-Ho https://cds.cern.ch/auth.py?r=EBLIB_P_6298659 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757637 BOOK MIGRATED 2757609 SzGeCERN 20210421184108.0 9783319487991 electronic version electronic version 9783319487984 print version oai:cds.cern.ch:2757609 cerncds:BOOK EBL 6298523 eng QA76.9.A48 .G373 2016 004.019 García, Carmelo R Ubiquitous computing and ambient intelligence 10th international conference, UCAMI 2016, San Bartolomé de Tirajana, Gran Canaria, Spain, November 29 - December 2, 2016, part II Cham Springer International Publishing AG 2016 577 p ebook Lecture notes in computer science 10070 Intro -- Preface -- Organization -- Contents -- Part II -- Contents -- Part I -- AAL (IWAAL) -- Probability and Common-Sense: Tandem Towards Robust Robotic Object Recognition in Ambient Assisted Living -- 1 Introduction -- 2 Proposed Robotic Object Recognition System -- 2.1 Conditional Random Fields for Object Recognition -- 2.2 Common-Sense Knowledge Representation -- 2.3 System Overview -- 3 System Demonstration -- 4 Discussion and Future Work -- References -- Ensemble Learning-Based Algorithms for Aggressive and Agitated Behavior Recognition -- 1 Introduction -- 2 Related Work -- 2.1 Vision-Based Research Studies -- 2.2 Accelerometer-Based Research Studies -- 3 Our Approach -- 3.1 Kinect-Based Algorithm -- 3.2 Accelerometer-Based Algorithm -- 3.3 Classification -- 4 Validation -- 4.1 Experimental Results -- 4.2 Execution Time -- 5 Comparison -- 6 Conclusion -- References -- Motorized Multi-camera Slider for Precise Monitoring of Physical Rehabilitation -- 1 Introduction -- 2 System Description -- 3 Dynamic Model of the Platform -- 4 Control Design -- References -- Machine Learning Method to Establish the Connection Between Age Related Macular Degeneration and Some Genetic Variations -- Abstract -- 1 Introduction -- 2 Determining Relation Between SNPs and Complex Diseases -- 3 Machine Learning Based Method for Relation of SNPs and AMD -- 3.1 Data Collection Procedure -- 3.2 Analysis and Information Processing -- 4 Experiments and Results -- 4.1 Data Set -- 4.2 Feature Ranking and Best Feature Set Selection -- 4.3 Classification Process -- 5 Conclusions -- References -- Ambient Displays to Assist Caregivers Monitoring the Sleep of People with Dementia -- Abstract -- 1 Introduction -- 2 Sleep Monitoring -- 3 Ambient Displays -- 4 Case Study and Methodology -- 5 Qualitative Study Results: Scenarios and Low-Fidelity Prototypes -- 5.1 Prototypes. 6 Validation Design Insights and Discussion -- 7 Conclusions and Future Work -- References -- Physiological Data Acquisition System Based on Mobile Computing -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Design Issues -- 3.1 Mobile Sensors, Data Acquisition and Transmission -- 3.2 Ethical Data and Privacy for Storage -- 3.3 Further Data Analysis -- 4 DAFIESKU System -- 4.1 Configuring Data Acquisition -- 4.2 Providing Guidance to the Participants -- 4.3 Experiment Development -- 5 Case Study to Evaluate DAFIESKU System on Non-classroom Learning Experimentation -- 5.1 Method -- 5.2 Results and Discussion -- 6 Conclusions and Future Work -- Acknowledgements -- References -- Do We Need an Integrated Framework for Ambient Assisted Living? -- 1 Introduction -- 2 Literature Survey -- 3 Analysis of Independent vs. Integrated AAL Solutions -- 3.1 Sequence Diagrams and Schedule Analysis -- 4 A Feature Diagram of Integrated AAL Functions -- 5 Conclusions and Future Works -- References -- Recognition of Activities in Resource Constrained Environments -- Reducing the Computational Complexity -- 1 Introduction -- 2 Prototype Generation Algorithms Designed for the NN Approach -- 2.1 Nearest Neighbor Approach -- 2.2 Prototype Generation Algorithms -- 3 Case Study -- 3.1 Activity Recognition Datasets -- 3.2 Evaluated PG Algorithms -- 3.3 Results -- 4 Conclusions -- References -- Activity Recognition Using Dynamic Instance Activation -- Abstract -- 1 Introduction -- 2 Data Incompleteness and Inconsistency -- 2.1 Incompleteness -- 2.2 Inconsistency -- 3 Dynamic Instance Activation -- 4 Case Studies -- 5 Results -- 6 Conclusion -- Acknowledgements -- References -- Fall Detection Through Thermal Vision Sensing -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Detecting Falls Through Thermal Vision -- 4 Evaluation -- 5 Conclusion -- Acknowledgments. References -- The Intelligent Environment Experiment Assistance Tool to Facilitate Partial Environment Simulation ... -- Abstract -- 1 Introduction -- 2 Related Work -- 3 The Intelligent Environment Experiment Assistance Tool -- 3.1 Partial Simulation of Experiments -- 3.2 Real-Time Annotation -- 4 Community Feedback -- 4.1 Results -- 5 Conclusion and Future Work -- Acknowledgments -- References -- Impact of Medical History on Technology Adoption in Utah Population Database -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 UPDB Dataset -- 3.2 Modelling Adoption -- 4 Results -- 5 Conclusion and Future Work -- Acknowledgements -- References -- Improving the Quality of User Generated Data Sets for Activity Recognition -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Generation of Data Sets in Simulated Environments -- 4 Evaluation -- 5 Summary -- Acknowledgments -- References -- Personalizing Physical Effort Estimation in Workplaces Using a Wearable Heart Rate Sensor -- 1 Introduction -- 2 State of Art -- 2.1 Related Work -- 2.2 Heart Rate Based Methods to Estimate Physical Effort -- 3 Experiments -- 4 Results -- 5 Conclusions -- References -- Ad-hoc and Sensors Networks -- Have You Also Seen That? Collaborative Alert Assessment in Ad Hoc Participatory Sensing -- 1 Introduction -- 2 Scenario and Collaborative Assement Proposal -- 3 Simulation -- 3.1 Evaluation -- 4 Conclusion and Future Work -- References -- ZigBee Home Automation Localization System -- Abstract -- 1 Introduction -- 2 Testbed -- 3 Algorithm Design -- 3.1 Data Pre-processing -- 3.2 System Architecture -- 4 Results -- 5 Conclusions -- Acknowledgments -- References -- Enhancing Smart Environments with Mobile Robots -- 1 Introduction -- 2 Framework Overview -- 3 Pilot Cases -- 4 Conclusion -- References -- Reliable Publish/Subscribe in Dynamic Ubiquitous Systems. 1 Introduction -- 1.1 System Model -- 1.2 Simple Routing -- 2 Towards Dynamic Publish/Subscribe -- 2.1 Supporting Dynamic Clients -- 2.2 Supporting Dynamic Brokers -- 3 Conclusion -- References -- Scheduling Real-Time Traffic in Underwater Acoustic Wireless Sensor Networks -- 1 Introduction -- 2 System Model -- 2.1 Physical Model -- 2.2 Real-Time Message Model -- 2.3 Network Model -- 3 Scheduling -- 4 Example -- 5 Heuristic Approach -- 5.1 Node Allocation Example -- 5.2 Optimization Algorithm -- 5.3 Analysis of Results -- 6 Conclusions and Future Work -- References -- UAV-Based Rescue System for Emergency Situations -- 1 Introduction -- 2 Preliminaries -- 3 State of the Art -- 4 Beacon Implementation -- 5 Proposed System -- 6 Security -- 6.1 Attacks on the Drones -- 6.2 Attacks on the Server -- 6.3 Implemented Data Protection Measures -- 7 Conclusions -- References -- A Network Performance Analysis of LoRa Modulation for LPWAN Sensor Devices -- Abstract -- 1 Introduction -- 2 Hardware Design -- 3 Test Environment and Setup -- 4 Test and Results -- 5 Discussion -- 6 Conclusions -- Acknowledgments -- References -- Electromagnetic Multi-frequency Model and Differential Measuring in Remote Sensing Applications -- 1 Introduction -- 2 Related Work -- 3 Multifrequency Model -- 4 Simulation of Wave Propagation in Frequency-Dependent Medium -- 4.1 Dielectric Medium. Determining Dielectric Permittivity -- 4.2 Dispersive Medium. Determining Dielectric Permittivity and Conductivity -- 5 Conclusions -- References -- Fine-Tuning the DARP Wireless Sensor Routing Protocol -- Abstract -- 1 Introduction -- 2 DARP Overview -- 3 DARP Performance -- 3.1 Simulations and Evaluation Scenarios -- 3.2 DARP Behaviour Analysis -- 4 Results of the Analysis -- 4.1 Statistical Analysis of the Number of Control Message -- 4.2 Statistical Analysis of the Energy -- 5 Conclusion. Acknowledgements -- References -- Lightweight Multivariate Sensing in WSNs -- 1 Introduction -- 2 Related Work -- 3 A Sampling Scheme for Environmental Sensing -- 4 Evaluation Results -- 5 Conclusions -- References -- WSN Related Requirement Analysis Towards Sustainable Building Automation Operations and Maintenance -- Abstract -- 1 Introduction -- 2 Sustainability Through Wireless Sensor Networks -- 3 Requirement Analysis for Sustainable Solutions -- 3.1 WSN Requirements -- 3.2 Monitoring Requirements -- 3.3 Back-End Requirements -- 4 Conclusions -- Acknowledgement -- References -- Leader-Based Routing in Mobile Wireless Sensor Networks -- 1 Introduction -- 2 Related Work -- 3 An Algorithm for MWSN -- 3.1 Notation and Assumptions -- 3.2 Algorithm Description -- 3.3 Data Routing Protocol -- 4 Evaluation -- 5 Conclusions -- References -- Self-organizing Connectivity for Mobile Agents in Dynamical Environments -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Self-organizing Communication Mechanism -- 4 Simulation -- 4.1 Simulation Model and Metrics -- 4.2 Results -- 5 Conclusions and Further Work -- References -- Support Vector Machines for Inferring Distracted Behavior of Drivers Wearing Smart Glasses -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Data Collection and Labeling -- 2.2 Experiments -- 3 Results -- 4 Conclusions -- Acknowledgements -- References -- Benchmarking Bluetooth SPP Communications for Ubiquitous Computing -- 1 Introduction -- 2 Background and Related Work -- 3 Evaluation -- 3.1 Battery-Tests -- 3.2 Ping-Tests -- 3.3 Stress-Tests -- 4 Conclusion -- References -- IoT -- Physical Processes Control in Industry 4.0-Based Systems: A Focus on Cyber-Physical Systems -- Abstract -- 1 Introduction -- 2 Processes in Industry 4.0 and CPS -- 3 Requirements Analysis: Proposed Architectures -- 4 Experimental Validation: System Simulation. 5 Results. EBL202103 XX SzGeCERN EBL Information retrieval EBL Ubiquitous computing-Congresses BOOK Caballero-Gil, Pino Burmester, Mike Quesada-Arencibia, Alexis https://cds.cern.ch/auth.py?r=EBLIB_P_6298523 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757609 BOOK MIGRATED 2757561 SzGeCERN 20210421184110.0 9783030031923 electronic version electronic version 9783030031916 print version oai:cds.cern.ch:2757561 cerncds:BOOK EBL 6298313 eng QA76.9.A25 .D364 2018 005.8 Dang, Tran Khanh Future data and security engineering 5th international conference, FDSE 2018, Ho Chi Minh City, Vietnam, November 28-30, 2018, proceedings Cham Springer International Publishing AG 2018 497 p ebook Lecture notes in computer science 11251 Intro -- Preface -- Organization -- Contents -- Invited Keynotes -- Freely Combining Partial Knowledge in Multiple Dimensions -- 1 A Primer on F.P. Conditionalization -- 2 The Logics Perspective -- 3 The Data Science Perspective -- 4 Conclusion -- References -- Risk-based Software Quality and Security Engineering in Data-intensive Environments -- 1 Introduction -- 2 Risk-Based Continuous Software Quality Engineering -- 3 Risk-Based Security Data Extraction and Processing -- 4 Conclusion -- References -- Security and Privacy Engineering -- A Secure and Efficient kNN Classification Algorithm Using Encrypted Index Search and Yao's Garbled C ... -- Abstract -- 1 Introduction -- 2 Background and Related Work -- 2.1 Background -- 2.2 Secure kNN Classification Schemes -- 3 System Architecture and Secure Protocols -- 3.1 System Architecture -- 3.2 Secure Protocols -- 4 KNN Classification Algorithm -- 4.1 Step 1: Encrypted kd-Tree Search Step -- 4.2 Step 2: kNN Retrieval Step -- 4.3 Step 3: Result Verification Step -- 4.4 Step 4: Majority Class Selection Step -- 5 Performance Analysis -- 6 Conclusion -- Acknowledgment -- References -- A Security Model for IoT Networks -- Abstract -- 1 Introduction -- 2 ABAC Model -- 2.1 Requirements -- 2.2 Assumptions -- 2.3 Language -- 2.4 Security Policy -- 2.5 Conflict Resolution Policy -- 3 Security Administration Model -- 3.1 Principles -- 3.2 Constants -- 3.3 Function -- 3.4 Predicate -- 3.5 Security Administration Policy -- 4 Prototype -- 4.1 Architecture -- 4.2 Proof Graphs -- 5 Related Works -- 6 Conclusion -- References -- Comprehensive Study in Preventive Measures of Data Breach Using Thumb-Sucking -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Thumb-Sucking -- 4 Testing and Discussion -- 5 Conclusion -- References -- Intrusion Prevention Model for WiFi Networks -- Abstract -- 1 Introduction. 2 Related Works -- 3 Game Theory Models -- 4 Proposed Model -- 5 Model Evaluation -- 6 Conclusions -- References -- Security for the Internet of Things and the Bluetooth Protocol -- Abstract -- 1 Introduction -- 1.1 Bluetooth -- 2 Background -- 2.1 Security in Hospitals -- 2.2 Wireless Connections -- 2.3 Propositions to Improve Security in IoT -- 2.4 Zero Knowledge Authentications [8] -- 3 Methodology -- 4 Design and Implementation -- 5 Results -- 6 Conclusions -- References -- Authentication and Access Control -- A Light-Weight Tightening Authentication Scheme for the Objects' Encounters in the Meetings -- 1 Introduction -- 2 Related Works -- 3 Problem Solution and Proposed Approach -- 3.1 Scenario -- 3.2 Security Requirements and Proposed Solutions -- 4 Protocol Details -- 4.1 A Light-Weight Tightening Authentication Scheme -- 4.2 Key Exchange Model -- 5 Protocol Evaluation -- 5.1 Simulation -- 5.2 Results -- 6 Security Analysis -- 6.1 Security Model and Proof -- 6.2 Additional Discussion -- 7 Conclusion -- References -- A Privacy Preserving Authentication Scheme in the Intelligent Transportation Systems -- Abstract -- 1 Introduction -- 2 Preliminary Background -- 2.1 Bilinear Maps -- 2.2 ECDLP (Elliptic Curve Discrete Logarithm Problem) -- 2.3 (k, n)-CAA Problem (Collusion Attack Algorithm) -- 2.4 Fiat-Shamir Heuristic -- 2.5 Hash Chains -- 2.6 RSA (Rivest, Shamir and Adleman) Algorithm -- 3 System Model -- 4 Existing Solutions to Preserve Privacy in Authentication Scheme -- 4.1 Anonymous Credentials -- 4.2 Public Key Infrastructure -- 4.3 Group Signatures -- 4.4 Cooperation -- 4.5 Pseudo - Identities -- 5 Autonomous Privacy-Preserving Authentication Scheme in ITS -- 5.1 System Initialization -- 5.2 Generation of Credentials -- 5.3 Pseudonym Self-generation -- 5.4 Message Signing -- 5.5 Signature Verification. 5.6 Advantages and Disadvantages of the Autonomous Privacy-Preserving Authentication Scheme -- 6 New Autonomous Authentication Scheme to the Privacy Preserving in Its -- 6.1 System Initialization -- 6.2 Generation of Credentials -- 6.3 Pseudonym Self-generation -- 6.4 Message Signing -- 6.5 Signature Verification -- 7 Anonymity Revocation Process -- 8 Security Analysis -- 9 Conclusions -- Acknowledgements -- References -- Big Data Analytics and Applications -- Higher Performance IPPC+ Tree for Parallel Incremental Frequent Itemsets Mining -- Abstract -- 1 Introduction and Related Works -- 2 Improved Solution -- 2.1 IPPC Tree -- 2.2 IPPC+ Tree -- 3 Experiments -- 3.1 Comparisons Between IPPC and IPPC+ Trees -- 3.2 Comparisons with Other Algorithms on the Synthetic Dataset -- 3.3 Comparisons with Other Algorithms on Kosarak Dataset -- 4 Conclusions -- References -- A Sample-Based Algorithm for Visual Assessment of Cluster Tendency (VAT) with Large Datasets -- 1 Introduction -- 2 Related Works -- 3 Proposed Algorithm -- 4 Numerical Experiments -- 5 Concluding Remarks -- References -- An Efficient Batch Similarity Processing with MapReduce -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Similarity Search -- 3.2 MapReduce -- 4 Our Proposed Solution -- 4.1 Query Batch Processing Scheme -- 4.2 MapReduce-Based Similarity Search -- 4.3 Lightweight Indexing -- 5 Empirical Experiments and Evaluations -- 5.1 Environmental Setting -- 5.2 Dataset -- 5.3 Measurement -- 5.4 Evaluation -- 6 Conclusion and Future Work -- References -- Vietnamese Paraphrase Identification Using Matching Duplicate Phrases and Similar Words -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Separating Words (Step 1) -- 3.2 Matching Duplicate Phrases (Step 2) -- 3.3 Removing Stop Words (Step 3) -- 3.4 Matching Similar Words (Step 4). 3.5 Calculating Similarity Matching Metric (Step 5) -- 3.6 Detecting Paraphrase (Step 6) -- 4 Evaluation -- 4.1 Paraphrase Identification -- 4.2 Paraphrase Corpus Creation -- 5 Conclusion -- References -- Advanced Studies in Machine Learning -- Automatic Hyper-parameters Tuning for Local Support Vector Machines -- 1 Introduction -- 2 Automatic Hyperparameter Tuning for k Local Support Vector Machines (autokSVM) -- 2.1 Support Vector Machines -- 2.2 Parallel Algorithm of k Local Support Vector Machines (kSVM) -- 2.3 Automatic Hyper-parameters Tuning for k Local Support Vector Machines (autokSVM) -- 3 Numerical Test Results -- 4 Discussion on Related Works -- 5 Conclusion and Future Works -- References -- Detection of the Primary User's Behavior for the Intervention of the Secondary User Using Machine Le ... -- Abstract -- 1 Introduction -- 2 Background -- 3 Methodology -- 3.1 Activity Percentage -- 3.2 Permanence Probability -- 3.3 Probability of the "Amplitude Node" (Presence or Absence of the PUs) -- 4 Proposed Method -- 5 Results -- 6 Discussion of Results -- 7 Conclusions -- References -- Text-dependent Speaker Recognition System Based on Speaking Frequency Characteristics -- 1 Introduction -- 2 Speaker Recognition System -- 2.1 Mel-Frequency Cepstrum Coefficient -- 2.2 Gaussian Mixture Model (GMM) and Speaker Recognition -- 3 Embedded System Design -- 3.1 Speaker Recognition Module and Microcontroller -- 3.2 Speaker Recognition Embedded System Design -- 4 Results -- 4.1 Integrated System -- 4.2 Experimental Result -- 5 Conclusion -- References -- Static PE Malware Detection Using Gradient Boosting Decision Trees Algorithm -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 The Issues of Using Imbalanced Dataset -- 3.2 Feature Extraction -- 3.3 Gradient Boosting Decision Trees -- 4 Experiment -- 4.1 Dataset. 4.2 Evaluation Criteria -- 4.3 Experimental Results -- 5 Conclusion and Future Works -- Acknowledgment -- References -- Comparative Study on Different Approaches in Optimizing Threshold for Music Auto-Tagging -- 1 Introduction -- 2 Related Work -- 3 Different Approaches in Determining Instance-Based Threshold -- 3.1 Splitting the Dataset -- 3.2 Building and Training the Ranking Model -- 3.3 Generating the Dataset for the Thresholding Model -- 3.4 Designing the Thresholding Model -- 4 Experiment -- 4.1 Dataset -- 4.2 Optimization and Evaluation Measures -- 4.3 Experiment Result -- 5 Conclusion -- References -- Using Machine Learning for News Verification -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Design -- 5 Implementation -- 6 Discussion and Results Analysis -- 7 Conclusions -- References -- Deep Learning and Applications -- A Short Review on Deep Learning for Entity Recognition -- 1 Introduction -- 2 Distributed Representation -- 2.1 Word Embedding -- 2.2 Character-Level Representation of Words -- 2.3 Mention and Context Representation -- 2.4 Knowledge Representation of Entities -- 3 Datasets -- 4 Coarse-Grained Entity Recognition -- 5 Fine-Grained Entity Recognition -- 6 Conclusion -- References -- An Analysis of Software Bug Reports Using Random Forest -- 1 Introduction -- 2 Related Work -- 3 Bug Analysis Approach -- 3.1 Entropy Splitting Rule -- 3.2 Decision Tree Growing Process -- 3.3 Random Forest Growing Process -- 3.4 Bug Data Processing -- 4 Evaluation -- 5 Conclusion -- References -- Motorbike Detection in Urban Environment -- 1 Introduction -- 2 Related Works -- 3 Detection Methods -- 3.1 Single Shot Multibox Detector liu2016ssd -- 3.2 Baseline Models -- 4 Experiment and Results -- 4.1 Dataset -- 4.2 Configuration -- 4.3 Evaluation Metrics -- 4.4 Results and Discussions -- 5 Conclusion -- References. Data Analytics and Recommendation Systems. EBL202103 XX SzGeCERN EBL Computer security-Congresses BOOK Küng, Josef Wagner, Roland Thoai, Nam Takizawa, Makoto https://cds.cern.ch/auth.py?r=EBLIB_P_6298313 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757561 BOOK MIGRATED 2757541 SzGeCERN 20210421184111.0 9783319643670 electronic version electronic version 9783319643663 print version oai:cds.cern.ch:2757541 cerncds:BOOK EBL 6298206 eng QA76.9.D3 .G478 2017 005.74 Gertz, Michael Advances in spatial and temporal databases 15th international symposium, SSTD 2017, Arlington, VA, USA, August 21 - 23, 2017, proceedings Cham Springer International Publishing AG 2017 454 p ebook Lecture notes in computer science 10411 Intro -- Preface -- Organization -- Contents -- Routing and Trajectories -- Multi-user Itinerary Planning for Optimal Group Preference -- 1 Introduction -- 2 Problem Definition and Preliminaries -- 3 Proposed Solutions -- 3.1 Meeting Graph and Node Profit -- 3.2 Greedy Itinerary Construction -- 3.3 Optimal Itinerary Construction -- 3.4 Acceleration via Graph Compression -- 4 Related Work -- 5 Experiments -- 5.1 Experiment Design -- 5.2 Experimental Results -- 6 Discussions and Conclusion -- References -- Hybrid Best-First Greedy Search for Orienteering with Category Constraints -- 1 Introduction -- 2 Related Work -- 3 Problem Formalization -- 4 Best-First Search Strategy -- 4.1 Potential Score -- 4.2 Our Algorithm -- 4.3 Further Optimizations -- 5 Approximation Algorithms -- 5.1 Bounding the Score -- 5.2 Bounding the Run Time -- 6 Properties and Bounds -- 6.1 Correctness of Pruning -- 6.2 Lower Bounding the Score -- 6.3 Upper Bounding the Run Time -- 7 Experimental Evaluation -- 7.1 Data Sets -- 7.2 Effects of Parameters -- 7.3 Comparison with Competitors -- 8 Conclusion and Future Work -- References -- On Privacy in Spatio-Temporal Data: User Identification Using Microblog Data -- 1 Introduction -- 2 Related Work -- 2.1 User Identification -- 2.2 User Linkage -- 2.3 Spatial Privacy -- 3 Problem Definition -- 4 Trajectory Based User Identification -- 4.1 Trace Profile Modeling -- 4.2 Set Descriptors -- 4.3 Transition Descriptors -- 4.4 Classification -- 4.5 User Linkage -- 5 Experimental Evaluation -- 5.1 Accuracy Using Set Descriptors -- 5.2 Accuracy Using Frequent Transitions -- 5.3 Accuracy for Different Observation Counts -- 5.4 User Linkage Between Different Social Networks -- 5.5 Scalability -- 6 Conclusions -- References -- Big Spatial Data -- Sphinx: Empowering Impala for Efficient Execution of SQL Queries on Big Spatial Data. 1 Introduction -- 2 Background on Impala -- 3 Architecture -- 4 Query Parser -- 4.1 Geometry Data Type -- 4.2 Spatial Functions -- 4.3 Spatial Operations -- 4.4 Spatial Indexing -- 5 Spatial Indexing -- 5.1 Index Construction in Sphinx -- 5.2 Importing SpatialHadoop Indexes -- 6 Query Planner -- 6.1 Range Query Plans -- 6.2 Spatial Join Plans -- 7 Query Executor -- 7.1 R-tree Scanner -- 7.2 Spatial Join Operator -- 8 Experiments -- 8.1 Index Construction -- 8.2 Range Query -- 8.3 Spatial Join -- 9 Related Work -- 10 Conclusion -- References -- ST-Hadoop: A MapReduce Framework for Spatio-Temporal Data -- 1 Introduction -- 2 Related Work -- 3 ST-Hadoop Architecture -- 4 Language Layer -- 5 Indexing Layer -- 5.1 Concept of Hierarchy -- 5.2 Index Construction -- 5.3 Phase I: Sampling -- 5.4 Phase II: Temporal Slicing -- 5.5 Phase III: Spatial Indexing -- 5.6 Phase IV: Physical Writing -- 6 Operations Layer -- 6.1 Spatio-Temporal Range Query -- 6.2 Spatio-Temporal Join -- 7 Experiments -- 7.1 Spatiotemporal Range Query -- 7.2 Index Construction -- 7.3 Spatiotemporal Join -- 8 Conclusion -- References -- GeoWave: Utilizing Distributed Key-Value Stores for Multidimensional Data -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Contributions -- 3.1 Locality Preservation of Multi-dimensional Values -- 3.2 Spatial Subsampling for Map Rendering -- 3.3 Managing Data Variety and Complexity -- 3.4 Key-Value Store Parity -- 4 Experimental Evaluation -- 4.1 Locality Preservation Performance -- 4.2 Map Pixel-Based Spatial Subsampling Performance -- 4.3 Differences in Multi-range Scans Among Key-Value Stores -- 5 Conclusions -- References -- Indexing and Aggregation -- Sweeping-Based Temporal Aggregation -- 1 Introduction -- 2 Related Work -- 3 Problem Formalization -- 3.1 Temporal Relations -- 3.2 Temporal Aggregation on Constant Intervals. 3.3 Temporal Aggregation on Fixed Intervals -- 4 Sweeping-Based Temporal Aggregation -- 4.1 Endpoint Index -- 4.2 Temporal Aggregation on Constant Intervals -- 4.3 Temporal Aggregation on Fixed Intervals -- 5 Empirical Evaluation -- 5.1 Environment -- 5.2 Competitors -- 5.3 Test Workloads -- 5.4 Results -- 6 Conclusion -- References -- Indexing the Pickup and Drop-Off Locations of NYC Taxi Trips in PostgreSQL -- Lessons from the Road -- 1 Introduction -- 2 Studied Spatial Database Indexing Schemes -- 2.1 Generalized Search Tree (GiST-Spatial) -- 2.2 Block Range Index (BRIN-Spatial) -- 2.3 Hippo-Spatial -- 3 Experimental Environment -- 4 Studying the Indexing Overhead -- 4.1 Index Size -- 4.2 Index Initialization Time -- 5 Evaluating the Query Response Time -- 5.1 Varying the Spatial Range Query Selectivity Factor -- 5.2 Varying the Spatial Range Area Size -- 6 Studying the Index Maintenance Overhead -- 6.1 Insertion Time -- 6.2 Deletion Time -- 6.3 Hybrid Workload Performance -- 7 Summary of Results -- 8 Key Insights and Learned Lessons -- References -- Towards Spatially- and Category-Wise k-Diverse Nearest Neighbors Queries -- 1 Introduction -- 2 Related Work -- 3 Problem Definition -- 4 Proposed Solutions -- 4.1 Recursive Range Filtering (RRF) -- 4.2 Pair Graph Solution (PG) -- 4.3 From Conventional Skylines to Linear Skylines -- 5 Experiments -- 5.1 Spatial Diversity -- 5.2 Categorical Diversity -- 5.3 Effectiveness and Efficiency -- 6 Conclusion -- References -- Spatio-Temporal Functional Dependencies for Sensor Data Streams -- 1 Introduction -- 2 Preliminaries -- 3 Database Modeling for Sensor Data -- 3.1 Granularity Aware Sensor Database -- 3.2 Spatio-Temporal Functional Dependency (STFD) -- 3.3 Reasoning on STFDs -- 3.4 Normalization -- 3.5 Semantic Value Assumption -- 4 Prototype for Sensor Database -- 4.1 Implementation. 4.2 Ongoing Experiments -- 5 Related Work -- 6 Conclusion -- References -- Recommendation -- Location-Aware Query Recommendation for Search Engines at Scale -- 1 Introduction -- 2 Preliminaries and Definitions -- 2.1 Query Log -- 2.2 Obtaining Locations from a Query Log -- 2.3 Query-Flow Graph -- 2.4 Term-Query-Flow Graph -- 3 Location-Aware Query Recommendation -- 4 Location-Aware PPR -- 4.1 BCA with Online Transition Matrix -- 5 Experimental Evaluation -- 5.1 Dataset -- 5.2 Methodology -- 5.3 User Study -- 5.4 Effectiveness -- 5.5 Efficiency -- 6 Related Work -- 7 Conclusion -- References -- Top-k Taxi Recommendation in Realtime Social-Aware Ridesharing Services -- 1 Introduction -- 2 Related Work -- 2.1 Static Ridesharing -- 2.2 Dynamic Ridesharing -- 2.3 Trust-Conscious Ridesharing -- 3 Problem Formulation -- 3.1 Definitions -- 3.2 Spatial and Social Scores -- 3.3 Solution Overview -- 4 Candidate Taxis Searching -- 4.1 Edge-Based Candidates Selection -- 4.2 Grid-Based Candidates Selection -- 5 Taxi Scheduling and Top-k Taxi Selection -- 5.1 Overall Procedure of Top-k Taxis Selection -- 5.2 Spatial Score Upper Bounds -- 5.3 Time-Dependent Fastest Path Calculation -- 5.4 Optimal Schedule -- 5.5 Hopping Algorithm -- 6 Experimental Evaluation -- 6.1 Experimental Settings -- 6.2 Experimental Results -- 7 Conclusion -- References -- P-LAG: Location-Aware Group Recommendation for Passive Users -- 1 Introduction -- 2 Problem Definition -- 3 Vector Extraction -- 3.1 Topic Vector Extraction -- 3.2 Topic Vector Analysis -- 4 Indexing and Search for P-LAG -- 4.1 Basic R-tree Approach -- 4.2 TAR-tree Approach: Topic-Aware R-tree -- 4.3 Vector Compression in the TAR-tree -- 5 Experimental Evaluation -- 5.1 Datasets -- 5.2 Efficiency Analysis -- 5.3 Effectiveness -- 5.4 Storage Requirements -- 6 Related Work -- 7 Conclusion -- References -- Data Mining. Grid-Based Colocation Mining Algorithms on GPU for Big Spatial Event Data: A Summary of Results -- 1 Introduction -- 2 Problem Statement -- 2.1 Basic Concepts -- 2.2 Problem Definition -- 3 Proposed Approach -- 3.1 Algorithm Overview -- 3.2 Cell-Aggregate-Based Upper Bound Filter -- 3.3 Refinement Algorithms -- 4 Evaluation -- 4.1 Results on Synthetic Data -- 4.2 Results on Real World Dataset -- 5 Discussion -- 6 Conclusion and Future Work -- References -- Detecting Isodistance Hotspots on Spatial Networks: A Summary of Results -- 1 Introduction -- 2 Problem Statement -- 2.1 Basic Concepts -- 2.2 Problem Formulation -- 3 BaseNIHD: A Baseline Algorithm Using Known Algorithmic Refinements -- 4 NPP: An Algorithm Based on Network Partitioning and Upper-Bound Pruning -- 5 Theoretical Analysis -- 6 Case Studies on Real World Crime Data -- 6.1 Robberies Occurred in Pinellas County, Florida -- 6.2 Assaults Occurred in Fremont, Washington -- 7 Experimental Evaluation -- 7.1 Experimental Setup -- 7.2 Experimental Results -- 8 Conclusion and Future Work -- References -- Detection and Prediction of Natural Hazards Using Large-Scale Environmental Data -- 1 Introduction -- 1.1 Roadmap -- 2 Framework for Natural Hazards Detection -- 2.1 Environmental Tensor Factorization -- 2.2 Classifying Natural Hazards -- 3 Spatio-Temporal Tensor Sparsification -- 3.1 Algorithmic procedure -- 4 Experimental Evaluation -- 4.1 Global Climate Data -- 4.2 Finding Synthetic Spatio-Temporal Outliers -- 4.3 Finding Natural Hazards on Real Data -- 5 Related Work -- 5.1 Spatio-Temporal Outlier Detection -- 5.2 Classification and Prediction -- 5.3 Tensor Factorization -- 6 Conclusion -- References -- Localization and Spatial Allocation -- FF-SA: Fragmentation-Free Spatial Allocation -- 1 Introduction -- 2 Problem Statement: Fragmentation-Free Spatial Allocation -- 3 Challenges. 4 Related Work and Limitations. EBL202103 XX SzGeCERN EBL Temporal databases-Congresses EBL Database management-Congresses BOOK Renz, Matthias Zhou, Xiaofang Hoel, Erik Ku, Wei-Shinn Voisard, Agnes Zhang, Chengyang Chen, Haiquan Tang, Liang Huang, Yan https://cds.cern.ch/auth.py?r=EBLIB_P_6298206 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757541 BOOK MIGRATED 2757535 SzGeCERN 20210421184111.0 9783319681894 electronic version electronic version 9783319681887 print version oai:cds.cern.ch:2757535 cerncds:BOOK EBL 6298181 eng Q387 .B375 2017 006.332 Barkowsky, Thomas Spatial cognition X 13th biennial conference, KOGWIS 2016, Bremen, Germany, September 26-30, 2016, and 10th international conference, Spatial Cognition 2016, Philadelphia, PA, USA, August 2-5, 2016, revised selected papers Cham Springer International Publishing AG 2017 204 p ebook Lecture notes in computer science 10523 Intro -- Preface -- Organization -- Contents -- Spatial Ability -- Individual and Gender Differences in Spatial Ability and Three Forms of Engineering Self-efficacy -- Abstract -- 1 Introduction -- 1.1 Spatial Ability -- 1.2 Self-efficacy -- 1.3 Spatial Experience -- 1.4 Study Goals -- 2 Study One -- 2.1 Method -- 2.2 Results -- 3 Study Two -- 3.1 Method -- 3.2 Results -- 4 Discussion -- Acknowledgments -- Appendix -- References -- Physical Touch-Based Rotation Processes of Primary School Students -- 1 Introduction -- 1.1 Foci of this Contribution -- 1.2 Outline -- 2 Mental and Physical Rotation -- 2.1 Similarities, Commonalities, and Analogies -- 2.2 The Training of Mental and Physical Rotation -- 2.3 Strategies, Theories, Models, and Research Methods -- 3 Our Study -- 4 Results -- 5 Modelling Physical Rotation -- 5.1 Generating Synthetic Trajectories -- 5.2 Populations of Prototypes -- 6 Discussion -- 7 Conclusion -- References -- Can You Follow Your Own Route Directions: How Familiarity and Spatial Abilities Influence Spatial Pe ... -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Verbal Descriptions -- 2.2 Familiarity -- 2.3 Spatial Orientation -- 2.4 Cognitive Maps -- 3 Methods -- 3.1 Participants -- 3.2 Materials -- 3.3 Procedure -- 4 Results -- 5 Discussion -- 5.1 Directional Estimation -- 5.2 Distance Estimation -- 5.3 Sketch Map Measures -- 6 Conclusion -- References -- Wayfinding and Navigation -- Are Wayfinding Self-efficacy and Pleasure in Exploring Related to Shortcut Finding? A Study in a Vir ... -- Abstract -- 1 Introduction -- 1.1 Wayfinding: A Multifaceted Ability -- 1.2 Shortcut Finding -- 1.3 Subjective Measures and Wayfinding -- 1.4 Emotions, Motivation, and Socio-cognitive Factors in the Spatial Domain -- 1.5 Wayfinding Self-efficacy -- 1.6 The Present Study -- 2 Method -- 2.1 Participants -- 2.2 Materials. 2.3 Procedure -- 3 Results -- 3.1 Landmarks and Shortcut-Finding Performance -- 3.2 Attitude to Spatial Tasks, WF Self-efficacy, and Shortcut-Finding Performance -- 4 Discussion -- 5 Conclusions -- References -- Evaluating Age-Related Cognitive Map Decay Using a Novel Time-Delayed Testing Paradigm -- Abstract -- 1 Introduction -- 2 Method -- 3 Results -- 4 Discussion -- Acknowledgements -- References -- Is Order Memory of Routes Temporal or Spatial? An Individual Differences Study -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Participants -- 2.2 Materials -- 2.3 Design -- 2.4 Procedure -- 3 Results -- 3.1 Spatial Versus Temporal Order -- 3.2 Comparison Relative and Absolute Order Memory -- 3.3 Age and Gender -- 3.4 Spatial Experience and Spatial Anxiety -- 3.5 Quality of Route Memory -- 4 Discussion -- 5 Conclusion -- Acknowledgments -- References -- Spatial Memory -- The Difference in Cognitive Processing Between Route and Survey Descriptions Used by Visuo-Spatial W ... -- Abstract -- 1 Introduction -- 2 Experiment -- 2.1 Participants -- 2.2 Materials -- 3 Results -- 4 Discussion -- Appendix -- References -- Psychophysics of Place Recognition -- 1 Introduction -- 1.1 Place Recognition -- 1.2 Models and Mechanisms -- 1.3 Experimental Procedures -- 2 Depth of Processing -- 2.1 Local Position Information -- 2.2 Methods -- 2.3 Results -- 2.4 Discussion -- 3 Place Recognition from Distant Landmarks -- 3.1 Summary of Experimental Data -- 3.2 Model -- 4 Conclusion -- References -- Environmental and Idiothetic Cues to Reference Frame Selection in Path Integration -- 1 Introduction -- 2 Experiments -- 2.1 Experiment 1A -- 2.2 Experiment 1B -- 2.3 Experiment 2A -- 2.4 Experiment 2B -- 2.5 Experiment 3 -- 2.6 Experiment 4 -- 3 General Discussion -- References -- Systems and Simulations -- EVE: A Framework for Experiments in Virtual Environments. 1 Introduction -- 2 Related Work -- 3 Implementation -- 3.1 Required Software -- 3.2 Experiment Setup -- 3.3 Runtime -- 3.4 Evaluation -- 4 Example Study: Neighbourhood Walk -- 5 Summary and Conclusion -- References -- Multimodal Semantic Simulations of Linguistically Underspecified Motion Events -- 1 Introduction -- 2 Architecture -- 2.1 VoxML Overview -- 3 Linguistic and Semantic Analysis -- 3.1 Habitats and Affordances -- 3.2 Predicate-Argument Interaction -- 4 Underspecification -- 4.1 Current Results of Simulation Output -- 4.2 Experimentation and Early Results -- 4.3 Further Experimentation -- 5 Discussion and Future Work -- References -- Author Index. EBL202103 XX SzGeCERN EBL Spatial systems-Congresses EBL Knowledge representation (Information theory)-Congresses BOOK Burte, Heather Hölscher, Christoph Schultheis, Holger https://cds.cern.ch/auth.py?r=EBLIB_P_6298181 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757535 BOOK MIGRATED 2757532 SzGeCERN 20210421184111.0 9783319501093 electronic version electronic version 9783319501086 print version oai:cds.cern.ch:2757532 cerncds:BOOK EBL 6298177 eng QA76 .C85 2016 004 Abdelnour-Nocera, José Culture, technology, communication common world, different futures 10th IFIP WG 13. 8 international conference, CATAC 2016, London, UK, June 15-17, 2016, revised selected papers Cham Springer International Publishing AG 2016 158 p ebook IFIP advances in information and communication technology 490 Intro -- Preface -- Organization -- Contents -- On Persuading an OvaHerero Community to Join the Wikipedia Community -- Abstract -- 1 Introduction -- 2 Indigenous Knowledge and Wikipedia -- 2.1 Knowledge Systems -- 2.2 Digitizing the Knowledge Sharing Processes -- 2.3 Challenges of Indigenous Knowledge in Wikipedia -- 3 Conceptual Framing -- 3.1 Value Sensitive Design and Information Systems -- 3.2 Contributors' Motivation to Collective Content Creation -- 3.3 Persuasive Techniques -- 4 Research Approach -- 4.1 Community Participants -- 4.2 Tripartite Methodology Applied -- 4.3 Conceptual Investigation -- 4.4 Empirical Investigation -- 4.5 Technical Investigation -- 4.6 Otjiherero Incubator -- 4.7 Communication Channel -- 4.8 Persuasive Intervention -- 5 Results: Value Comparison -- 5.1 Identity and Pride -- 5.2 Property and Ownership -- 5.3 Universal Usability -- 5.4 Consensus -- 5.5 Community Interactions -- 6 Results: Persuasion -- 6.1 Collaborative Article Creation -- 7 Conclusion -- References -- Cultures of Science and Technology in the Trading Zone: Biodiversity and Open Source Development -- Abstract -- 1 Introduction -- 2 Relevant Literature -- 3 Coding for Biodiversity: Co-development to Build a Global Commons -- 4 The Trading Zone in Action -- 5 Conclusion -- Acknowledgements -- References -- Design as Regulation -- Abstract -- 1 Introduction -- 1.1 Sustainability -- 1.2 Lifecycle Thinking -- 1.3 Regulation -- 2 Design as Regulation -- 2.1 Regulatory Ecology -- 2.2 A Relational Understanding of Design as Regulation -- 3 Social and Environmental Risk in the Mobile Phone Lifecycle -- 3.1 Fairphone -- 3.2 Fair Design -- 4 Design as Regulator of Sustainability -- 4.1 The Rebound Effect -- 4.2 Regulatory Patching -- 5 Concluding Remarks -- Acknowledgement -- References. Exploring the Contribution of Design to Mobile Technology Uptake in a Remote Region of Australia -- Abstract -- 1 Introduction: Problematizing ICT in Remote Australia -- 2 Moments of Translation in the Mobile Journey -- 2.1 Becoming Interested: The First Network -- 2.2 Enrolling in the 3G Network -- 2.3 Mobilizing Over Time -- 2.4 Mobilizing Service Providers and Businesses -- 3 The Design of the Mobile Service -- 3.1 Flexibility -- 3.2 Portable and Personal -- 3.3 Billing Structures and Cost Management Features -- 3.4 Multifunctionality and Social Networking -- 4 Conclusion -- Acknowledgements -- References -- Technologies as a Means, Meetings as an End: Urban Interactions of a Migrant Community in Rio de Janeiro, Brazil, Mobilized Through WhatsApp -- Abstract -- 1 Introduction -- 2 Immersion in the Field -- 3 Ambivalent Identities -- 4 WhatsApp: Extimacy as Urban Routes -- 5 Urban Interactions Beyond the Virtual -- 6 Final Remarks -- Acknowledgements -- References -- Sites -- Innovation Processes in Indigenous Communities in the North - Cultural, Psychological and Technological Knowledge in Practice -- Abstract -- 1 Introduction -- 2 Theoretical Frame -- 2.1 Social Capital Perspective -- 2.2 Cultural Psychology Perspective -- 2.3 Humanistic Psychology Perspective -- 2.4 Innovation in Information System Research -- 3 Research Method -- 4 Analysis and Discussion -- 4.1 Innovation Processes and Building Social Capital: Psychological and Technical -- 4.2 Different Psychological Perspectives in the Innovation Process -- 5 Conclusion -- References -- Reconceptualising Personas Across Cultures: Archetypes, Stereotypes &amp -- Collective Personas in Pastoral Namibia -- Abstract -- 1 Introduction -- 2 Persona Introduction and Conceptualisations -- 2.1 Personas -- 2.2 Archetypes vs. Stereotypes -- 2.3 Collective Personas vs. Personas. 2.4 User-Created Personas -- 3 Methodology -- 3.1 Context -- 3.2 Data Collection -- 3.3 Analysis of Different Sessions -- 3.3.1 Archetypes -- 3.3.2 Stereotypes -- 4 Reflections and Discussion -- 4.1 Archetypes -- 4.2 Stereotypes -- 4.3 Collective Personas -- 5 Conclusion -- Acknowledgments -- References -- Communicative Ecologies and the Value of MyFireWatch to the Community of Kununurra -- Abstract -- 1 Introduction -- 2 Background -- 3 Communication Ecology of Bushfire Information -- 3.1 Technological Connectivity -- 3.2 Informal Social Connectivity -- 3.3 Formal Professional Connectivity -- 3.4 MyFireWatch: Promoting Communication and Community Cohesiveness in Remote Communities -- 4 Methodology -- 5 Empirical Data -- 5.1 The Kimberley Constructions of Fire -- 5.2 Tourists and Time Poor Holidaymakers -- 5.3 Grey Nomads and Backpackers -- 5.4 Contributors' Thoughts About Local Aboriginal Practices -- 5.5 Feedback on the Website -- 6 Discussion and Conclusion -- References -- Ludic Re-enchantment and the Power of Locative Games: A Case Study of the Game Ingress -- Abstract -- 1 Introduction -- 2 Disenchantment and Re-enchantment -- 2.1 Disenchantment and Urban Experience -- 3 Ludic Re-enchantment -- 3.1 Ludic Re-enchantment and the City: Locative Games -- 4 Ingress Is [Not] a Game -- 5 Methods -- 6 Playing Ingress -- 7 Ludic Re-enchantment in Ingress -- 7.1 Ingress' Narrative: Religious and Scientific Re-enchantment -- 7.2 The Intersection of Ingress' Gameplay and Narrative: Battle for Disenchantment -- 7.3 Ingress' Gameplay: Re-enchantment of the City -- 7.3.1 Re-enchanted Urban Materialities -- 7.3.2 Re-enchanted Urban Experience -- 7.3.3 Re-enchanted Urban Associations -- 8 Final Considerations -- Acknowledgements -- References -- Author Index. EBL202103 Computing and Computers SzGeCERN BOOK Strano, Michele Ess, Charles Van der Velden, Maja Hrachovec, Herbert https://cds.cern.ch/auth.py?r=EBLIB_P_6298177 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757532 BOOK MIGRATED 2757511 SzGeCERN 20210421184113.0 9783030008253 electronic version electronic version 9783030008246 print version oai:cds.cern.ch:2757511 cerncds:BOOK EBL 6298078 eng Q342 .A256 2018 006.3 Kalajdziski, Slobodan ICT innovations 2018 engineering and life sciences 10th international conference, ICT innovations 2018, Ohrid, Macedonia, September 17-19, 2018, proceedings Cham Springer International Publishing AG 2018 314 p ebook Communications in computer and information science 940 Intro -- Preface -- Organization -- Abstract of Keynotes -- The Future of Brain Imaging -- How Far Humans Are from the Time When Robots Will Become Superior? -- Contents -- Invited Keynote Papers -- Reconstructing Gene Networks of Forest Trees from Gene Expression Data: Toward Higher-Resolution Approaches -- 1 Introduction -- 2 Our Recent Work on Trees -- 2.1 Recent Study #1: Time Series of Gene Expression -- 2.2 Recent Study #2: Integrating Data from Different Sources -- 3 Toward Higher Resolution Network Inference: Multi-species Approaches -- 3.1 Results -- 4 Conclusion -- References -- Standardization and Quality Assurance in Life-Science Research - Crucially Needed or Unnecessary and Annoying Regulation? -- Abstract -- 1 Introduction into the Problem -- 2 Synopsis -- 3 Outlook/Perspective -- Acknowledgement -- References -- Foresight as a Tool for Increasing Creativity in the Age of Technology-Enhanced Learning -- Abstract -- 1 Introduction -- 2 The Pedagogical Framework -- 3 The Growing Need for Creatives -- 4 Incorporating 21st Century Skills -- 5 Foresight as a Tool for Increasing Engagement and Creativity -- 6 Research -- 7 Conclusion -- References -- Proceeding Papers -- Electrophysiological and Psychological Parameters of Learning in Medical Students with High Trait Anxiety -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Participants -- 2.2 Stimuli -- 2.3 Procedure -- 2.4 Electrophysiological Recording -- 2.5 Electrophysiological Data Extraction -- 2.6 Data Analysis -- 2.7 Statistical Analysis -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Group Decision Making for Selection of Supplier Under Public Procurement -- Abstract -- 1 Introduction -- 2 Problem Description -- 3 Generalized Algorithm for Group Decision Making -- 4 Numerical Testing -- 5 Results and Discussion -- 6 Conclusions -- References. Emotion-Aware Teaching Robot: Learning to Adjust to User's Emotional State -- 1 Introduction -- 2 A Model for Robotic Behavior -- 2.1 Reinforcement Learning -- 2.2 User's Emotional State -- 2.3 States and Actions -- 3 Implementation -- 4 Experimental Results -- 4.1 Experimental Procedure -- 4.2 The Ability to Recognize Emotions -- 4.3 The Experience of Interacting with the Robot -- 5 Future Work -- 6 Conclusion -- References -- The Application of an Air Pollution Measuring System Built for Home Living -- 1 Introduction -- 2 Dataflow to IoT Database -- 2.1 Indoor Setup -- 2.2 Outdoor Setup -- 3 Amazon's Alexa Voice Assistant -- 4 Results -- 5 Conclusion -- References -- Framework for Human Activity Recognition on Smartphones and Smartwatches -- Abstract -- 1 Introduction -- 2 System Architecture for Efficient AR Tools Development -- 3 Designing Accurate and Lightweight Algorithms for AR -- 3.1 The Dataset -- 3.2 Long Short Term Memory Neural Network -- 3.3 Experiments -- 4 Conclusion -- Acknowledgment -- References -- Parallel Decoding of Turbo Codes -- Abstract -- 1 Introduction -- 2 The MAP Decoding Algorithm -- 3 Design of Parallel Turbo Decoder -- 4 Practical Results -- 5 Conclusion -- Acknowledgement -- References -- Optimizing the Impact of Resampling on QRS Detection -- 1 Introduction -- 2 A QRS Detection Algorithm -- 3 Experiments -- 3.1 Test Cases -- 3.2 Test Data -- 4 QRS Detection Performance at Different Sampling Rates -- 4.1 Fixed Threshold - Hamilton's Approach -- 4.2 Performance Testing Different Threshold Values -- 5 Discussion -- 5.1 Optimal Threshold and Performance -- 5.2 Optimal vs Fixed Static Threshold Performance -- 5.3 Response Time and Performance Analysis of Sampling Rates -- 5.4 Comparative Analysis -- 6 Conclusion -- References -- Sarcasm and Irony Detection in English Tweets -- 1 Introduction -- 2 Problem Definition. 2.1 Corpus Description -- 2.2 Data Preprocessing -- 2.3 Feature and Model Selection -- 2.4 Experimental Setup -- 3 Results -- 4 Crowdsourcing Experiment -- 5 Conclusion -- References -- Review of Automated Weed Control Approaches: An Environmental Impact Perspective -- 1 Introduction -- 2 Review Methodology -- 3 Overview of Weed Control Approaches -- 3.1 Herbicide Reduction Analysis -- 3.2 Novel Sensing Technologies -- 3.3 Actuators that Allow Specific Weed Targeting -- 3.4 Challenges in New Technology Adoption -- 4 Conclusion -- References -- Stories for Images-in-Sequence by Using Visual and Narrative Components -- 1 Introduction -- 2 Related Work -- 2.1 Description of Images-in-isolation -- 2.2 Description of Images-in-sequence -- 2.3 Stories for Images-in-Sequence -- 3 Dataset -- 4 Architecture of Proposed Solution -- 5 Experimental Setup -- 5.1 Evaluation Metrics -- 6 Results and Analysis -- 7 Conclusion -- References -- Bioelectrical Impedance Technology in Sports Anthropometry: Segmental Analysis in Karate Athletes -- Abstract -- 1 Introduction -- 1.1 The Importance of Body Composition Analysis in Athletes -- 1.2 Bioelectrical Impedance Analysis Technology -- 2 Material and Method -- 2.1 Participants and Procedure -- 2.2 Assessment of Body Composition -- 2.3 Statistics -- 3 Results -- 4 Discussion -- 4.1 The Importance of Bioimpedance Technology in Body Composition Analysis -- 4.2 Segmental Analysis Discussion -- References -- Initialization of Matrix Factorization Methods for University Course Recommendations Using SimRank Similarities -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 4 Problem Formulation -- 5 Methodology -- 5.1 Matrix Factorization Methods -- 5.2 SimRank -- 5.3 Matrix Factorization with SimRank Weights Initialization -- 5.4 Evaluation Metrics -- 6 Results and Discussion -- 7 Conclusion and Future Work -- References. Deep Learning the Protein Function in Protein Interaction Networks -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Protein Interaction Network Data -- 2.2 Vector Representation of the PIN -- 2.3 Negative Examples Selection -- 2.4 Deep Learning the Protein Function -- 3 Results and Discussions -- 4 Conclusion -- References -- Getting Engaged: Assisted Play with a Humanoid Robot Kaspar for Children with Severe Autism -- Abstract -- 1 Introduction -- 1.1 Robots as Assistive Technology for Children with Autism -- 1.2 Why Using Robots for Children with Autism? -- 1.3 The Robot Platform-Kaspar -- 2 Kaspar Trials Set-Up and Procedures -- 3 Observations of Interactions with Kaspar -- 4 Discussion and Conclusion -- References -- Evaluation of Multiple Approaches for Visual Question Reasoning -- Abstract -- 1 Introduction -- 2 Related Research -- 3 Dataset and Problem Statement -- 4 End-to-End Models -- 4.1 Relational Neural Network -- 4.2 Capsule Networks -- 4.3 Experimental Setup -- 5 Discussion of Results -- 6 Conclusions -- References -- Explorations into Deep Neural Models for Emotion Recognition -- 1 Introduction -- 2 Research Objective -- 3 Dataset -- 3.1 Data Preprocessing -- 4 Investigating the Suitability of Word Embeddings -- 4.1 Word Embeddings -- 4.2 Exploratory Studies on Word Embeddings -- 4.3 Augmenting the Word Representations -- 5 Deep Learning Models -- 5.1 CNN -- 5.2 LSTM -- 5.3 BiLSTM -- 5.4 Baseline Model -- 5.5 Extended Model -- 5.6 Model and Training Parameters -- 6 Experiments: Discussion of Results -- 7 Conclusions -- References -- Medical Real-Time Data Analytics System Design Aspects, Reference Architecture and Evaluation -- 1 Introduction -- 2 Related Work -- 3 Use Cases -- 3.1 Use Case 1: Civil MCI Environment -- 3.2 Use Case 2: Military Environment -- 4 Triage -- 5 System Overview -- 5.1 Hardware System Elements. 5.2 Software Modules and Interaction -- 6 System Dissemination -- 6.1 Data Size Growth and Transfer -- 6.2 Battery Life and Distance Between Sensors and Devices -- 7 Conclusion -- References -- Character Traits in Online Education: Case Study -- Abstract -- 1 Introduction -- 2 Characteristics of Online Education -- 2.1 Personality in Online Education -- 2.2 The Big Five Character Traits -- 3 Methodology -- 3.1 Participants -- 3.2 Course Delivery -- 3.3 Procedures -- 4 Result Analysis and Discussion -- 4.1 Correlating Test Results and Character Traits -- 4.2 QoE of the Two Classes -- 5 Discussion and Conclusion -- References -- Amplitude Rescaling Influence on QRS Detection -- 1 Introduction -- 2 Related Work -- 3 Hamilton's QRS Detection Algorithm -- 4 Testing Methodology -- 4.1 Testing Environment -- 4.2 Test Cases -- 4.3 Test Data -- 5 Evaluation of Results -- 5.1 Performance Achieved on Rescaled Amplitudes -- 5.2 Optimal Static Threshold Value to Boost the Performance -- 6 Discussion -- 6.1 Performance Impact of Rescaled Amplitudes -- 6.2 Selecting an Optimal Static Threshold -- 6.3 Comparison to Other Studies -- 7 Conclusion -- References -- Novel Data Processing Approach for Deriving Blood Pressure from ECG Only -- 1 Introduction -- 2 Methods and Materials -- 2.1 Methods -- 2.2 Materials -- 3 Results -- 3.1 Classification Experiments -- 3.2 Regression Experiments -- 3.3 Feature Analysis -- 3.4 Devices Evaluation -- 4 Discussion -- 5 Conclusions -- References -- Performances of Fast Algorithms for Random Codes Based on Quasigroups for Transmission of Audio Files in Gaussian Channel -- 1 Introduction -- 2 Description of Coding/Decoding Algorithms -- 2.1 Description of Coding -- 2.2 Description of Decoding -- 3 Experimental Results -- 4 Filter for Enhancing the Quality of Audio Decoded by Cryptcodes Based on Quasigroups -- 5 Conclusion. References. EBL202103 XX SzGeCERN EBL Data mining EBL Computer networks BOOK Ackovska, Nevena https://cds.cern.ch/auth.py?r=EBLIB_P_6298078 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757511 BOOK MIGRATED 2757503 SzGeCERN 20210421184113.0 9783319448787 electronic version electronic version 9783319448770 print version oai:cds.cern.ch:2757503 cerncds:BOOK EBL 6298040 eng QA76.9.C65 .F769 2016 003.3 änzle, Martin Formal modeling and analysis of timed systems 14th international conference, FORMATS 2016, Quebec, QC, Canada, August 24-26, 2016, proceedings Cham Springer International Publishing AG 2016 252 p ebook Lecture notes in computer science 9884 Intro -- Preface -- Organization -- Platform-Specific Code Generation from Platform-Independent Timed Models (Invited Keynote) -- Contents -- Modeling Timed Phenomena -- Consistent Timed Semantics for Nested Petri Nets with Restricted Urgency -- 1 Introduction -- 2 Motivating Example -- 3 Preliminaries -- 4 Timed-Arc Nested Petri Nets with Restricted Urgency -- 5 Consistency and ``well-structuredness'' of TANPU-nets -- 6 Conclusion -- References -- On the Expressiveness of Parametric Timed Automata -- 1 Introduction -- 2 Preliminaries -- 2.1 Clocks, Parameters and Constraints -- 2.2 Parametric Timed Automata with Hidden Parameters -- 2.3 Subclasses of Parametric Timed Automata -- 3 Defining the Expressiveness of PTAs -- 4 An Equivalence Between Integer and Rational Parameters -- 5 Expressiveness as the Untimed Language -- 5.1 PTAs in the Hierarchy of Chomsky -- 5.2 Comparison of Expressiveness -- 6 Expressiveness as the Constrained Untimed Language -- 7 Conclusion and Perspectives -- References -- Modelling Attack-defense Trees Using Timed Automata -- 1 Introduction -- 2 Attack Defense Trees -- 2.1 Adding Timed Behaviour -- 2.2 Adding Stochasticity -- 2.3 Adding Cost -- 3 Timed Automata -- 4 Timed Automata Encoding -- 4.1 Environmental Modelling -- 4.2 Defender Modelling -- 4.3 Attacker Modelling -- 5 Tool Support -- 5.1 Expected Cost -- 5.2 Finding Good Attacker Profile -- 6 Conclusion -- References -- Stochasticity and Hybrid Control -- Input/Output Stochastic Automata -- 1 Introduction -- 2 Preliminaries on Measure Theory -- 3 Input/Output Stochastic Automata (IOSA) -- 4 Composition and Bisimulation as a Congruence -- 5 Closed IOSAs are Deterministic -- 6 Conclusion -- References -- On Optimal Control of Stochastic Linear Hybrid Systems -- 1 Introduction -- 2 Related Work -- 3 Problem Definition -- 4 Synthesis Approach. 4.1 Mode Sequence and Optimal Dwell Times -- 4.2 Mode Tuning and Optimal Control Inputs -- 5 Case Studies -- 5.1 Two Zone Temperature Control -- 5.2 HVAC Control -- 5.3 Motion Planning -- 6 Conclusion -- References -- Scheduling of Controllers' Update-Rates for Residual Bandwidth Utilization -- 1 Introduction -- 2 Notation and Preliminaries -- 2.1 Notation -- 2.2 Control Systems -- 3 Problem Formulation -- 4 Adaptive Scheduling of Variable-Rate Control Tasks -- 4.1 Control Task Scheduling Constraints -- 4.2 Task Set Characterization -- 4.3 Scheduler Design -- 5 Simulation Results -- References -- Real-Time Verification and Synthesis -- Real-Time Synthesis is Hard! -- 1 Introduction -- 2 Reactive Synthesis of Timed Properties -- 3 BPrecRS and BClockRS are Undecidable -- 4 Bounded-Resources Synthesis for MITL Properties -- References -- A Boyer-Moore Type Algorithm for Timed Pattern Matching -- 1 Introduction -- 2 Preliminaries -- 2.1 Timed Automata -- 2.2 String Matching and the Boyer-Moore Algorithm -- 2.3 Pattern Matching and a Boyer-Moore Type Algorithm -- 3 The Timed Pattern Matching Problem -- 4 A Naive Algorithm and Its Online Variant -- 5 A Timed Boyer-Moore Type Algorithm -- 6 Experiments -- References -- Abstraction Strategies for Computing Travelling or Looping Durations in Networks of Timed Automata -- 1 Introduction -- 2 Preliminaries -- 3 Running Example -- 4 Timing Analysis -- 5 Direct Abstraction Strategy -- 6 Iterated Abstraction Strategy -- 7 Conclusion and Future Work -- References -- Distributed Algorithms for Time Optimal Reachability Analysis -- 1 Introduction -- 2 Sequential Time Optimal Reachability -- 2.1 Timed Automata -- 2.2 Sequential Time Optimal Reachability Algorithm -- 3 Distributed Time Optimal Reachability -- 3.1 Distributed Algorithm -- 3.2 Distributed Algorithm for Strict BFS -- 4 Experiments -- 4.1 Models. 4.2 Time to Find or Prove Optimal Result (Metric 1 &amp -- 2) -- 4.3 Results Versus Time (Metric 3) -- 4.4 Memory and Communication (Metric 4) -- 5 Conclusions -- A Results for Runtime -- References -- Workload Analysis -- Scenario-Aware Workload Characterization Based on a Max-Plus Linear Representation -- Abstract -- 1 Introduction -- 2 Preliminaries -- 2.1 Variability Characterization Curves -- 2.2 SDF Model -- 2.3 SADF Model -- 3 Max-Plus Linear Representation of a SADF Graph -- 3.1 Solution to the State-Space Equations in SADF -- 4 Variability Characterization Curves for SADF Graphs -- 4.1 Scenario-Based Workload Curve -- 4.2 Scenario-Based Service Curve -- 5 Workload Characterization Analysis Flow Based on Application Scenarios -- 6 Use Case -- 6.1 The JPEG Decoder -- 6.2 Scenario-Based Services Curves -- 7 Conclusions -- Acknowledgement -- References -- A Novel WCET Semantics of Synchronous Programs -- 1 Introduction -- 2 Illustrative SCCharts Example -- 3 Intermediate Level Semantics: Tick Cost Automata -- 4 Min-Max-Plus Semantics of IO-BTCA -- 4.1 Min-Max-Plus Algebra -- 4.2 Formal Max-Plus Power Series -- 5 Modelling Signal-Dependent WCET -- 5.1 The WCET of IO-BTCAs -- 5.2 The WCET of a Composition of IO-BTCAs -- 6 Related Work -- 7 Conclusions -- References -- Worst-Case Execution Time Analysis for Many-Core Architectures with NoC -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 The Platform Architecture Model -- 3.2 Application Model -- 3.3 Application Deployment onto the Platform -- 4 Interference-Based WCET Analysis -- 4.1 Kalray MPPA-256 Architecture -- 4.2 Intra-cluster Interference -- 4.3 Inter-cluster Interference -- 4.4 Deriving Tight WCET Estimations -- 5 WCET Analysis Evaluation -- 6 Conclusion -- References -- Timed Multiset Rewriting and the Verification of Time-Sensitive Distributed Systems -- 1 Introduction. 2 Timed Multiset Rewriting Systems -- 3 Programming Drone Behavior Using PTS -- 4 Quantitative Temporal Properties -- 4.1 Verification Problems -- 5 Complexity Results -- 5.1 PSPACE-Completeness -- 5.2 Complexity Results for n-Time-Bounded Systems -- 6 Bounded Simulations -- 7 Related and Future Work -- References -- Author Index. EBL202103 XX SzGeCERN EBL Application software EBL Computers BOOK Markey, Nicolas https://cds.cern.ch/auth.py?r=EBLIB_P_6298040 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757503 BOOK MIGRATED 2757495 SzGeCERN 20210421184113.0 9783642356124 electronic version electronic version 9783642356117 print version oai:cds.cern.ch:2757495 cerncds:BOOK EBL 6297406 eng QA76.76.I58 .A346 2012 006.3 Cranefield, Stephen Agent based simulation for a sustainable society and multiagent smart computing international workshops, PRIMA 2011, Wollongong, Australia, November 14, 2011, revised selected papers Berlin Springer 2012 133 p ebook Lecture notes in computer science 7580 Intro -- Title -- Preface -- Organisation -- Table of Contents -- Workshop on Agent Based Simulationfor a Sustainable Society (ABSSS 2011) -- Multi-Agent-Based Simulation for Analysis of Transport Policy and Infrastructure Measures -- Introduction -- The TAPAS Simulation Tool -- Decision Makers and Their Interaction -- Input and Physical Entities -- An EastWest Transport Corridor (EWTC) Scenario -- Discussion on How to Conduct MABS Studies for Impact Assessment of Transport Measures -- General Design Decisions -- Input Data Management -- Validation, Verification and Calibration -- Result Analysis and Generalization -- Concluding Remarks -- References -- An Agent-Based Simulation of Employing Social Norms in Energy Conservation in Households -- Introduction -- Background -- Related Work -- Investigations of Three Models for Norm-Based Social Influence -- Global Model -- Local Model -- Similarity Model -- Comparison of the Three Models -- Static Set-Up -- Dynamic Set-Up -- The Role of Injunctive Norms -- Interventions Using a Meta-norm -- Effect of Meta-norm Based Interventions at Different Levels of Convergences -- Effect of Modifying the Percentage of Agents Influenced -- Discussion -- Conclusion -- References -- An Agent-Based Model of Stereotype Communication -- Introduction -- Experiments by Lyons and Kashima -- Connectionist Models of Stereotype Communication -- An Agent-Based Model of Stereotype Communication -- Overview -- Memory Storage and Reproduction -- Network Processing -- Communication -- Parameter Estimation -- Experimental Setup -- Evolutionary Algorithm -- Results -- Discussion and Conclusions -- References -- International Workshop on Multi-Agent SmartComputing (MASmart 2011) -- An Approach to Sustainable Electric Power Allocation Using a Multi-round Multi-unit Combinatorial Auction -- Introduction -- Preliminary. Multi-unit Combinatorial Auctions -- Extending Lehmann's Approximation Approach -- Winner Approximation and Pricing -- Approximation for Multi-unit Combinatorial Auctions -- Applying to Electric Power Allocation -- The Allocation Model -- Example -- Discussion -- The Way of Performance Evaluation -- Preliminary Analysis -- Issues Left -- Conclusions -- References -- A Co-dependent Value-Based Mechanism for the Internet Advertisement Auction -- Introduction -- Preliminaries -- Google Adwords -- Our Advertisement Auction Model -- Preliminary Experiment -- Condition -- Procedure of Trade -- Results -- Comparison to VCG -- Discussion -- Reformulation -- GlobalAd -- Conclusion -- References -- Evaluation of Special Lanes as Incentive Policies for Promoting Electric Vehicle s -- Introduction -- Multi-class Combined Equilibrium Model -- Traveler Behavior -- Formulation of Multi-class Combined Equilibrium Model -- Estimation of Parameters in Nested Logit Model -- Impact of Penetration Level of EV to Urban Traffic andEnvironmental Improvement -- Model Validation -- Impact of EVs to Urban Traffic and Environmental Improvement -- Evaluation of EV Lanes and EV/Toll Lanes -- Set of EV Lanes in the Nagoya Metropolitan Area -- Evaluation of EV Lanes -- Evaluation of EV/Toll Lanes -- Conclusion -- References -- Simulation of Coordinated Anticipatory Vehicle Routing Strategies on MATSim -- Introduction -- Simulation of Coordinated Anticipatory Routing Strategies -- MATSim -- Extending MATSim -- Filters -- Network Status -- Agent Communication -- Basic Replanning Strategies -- Simulation of the Basic Replanning Strategies -- Simple Scenario -- Urban Scenario -- Coordinated Anticipatory Routing Strategies -- Conclusions and Future Work -- References -- Agent-Based Demand Management in a Power Distribution Network by Considering Distributed Generations -- Introduction. The Principle of the Proposed Multiagent System -- Objectives and Restrictions -- System Organisation -- Demand Management -- Agent Development -- Case Study -- Conclusion and Future Work -- References -- Author Index. EBL202103 XX SzGeCERN EBL Multiagent systems-Congresses BOOK Song, Insu https://cds.cern.ch/auth.py?r=EBLIB_P_6297406 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2757495 BOOK MIGRATED 2757443 SzGeCERN 20210421184116.0 9789811045554 electronic version electronic version 9789811045547 print version oai:cds.cern.ch:2757443 cerncds:BOOK EBL 6297137 eng Q342 .I566 2018 006.3 Panda, Brajendra Innovations in computational intelligence best selected papers of the third international conference on REDSET 2016 Singapore Springer Singapore Pte Limited 2017 309 p ebook Studies in computational intelligence 713 Intro -- Preface -- Acknowledgements -- Contents -- About the Editors -- 1 Neoteric Iris Acclamation Subtlety -- Abstract -- 1 Introduction -- 2 The Proposed Neoteric Iris Subtlety -- 2.1 Matching Process -- 3 Conclusion and Future Analysis -- References -- 2 Performance Comparison of Hampel and Median Filters in Removing Deep Brain Stimulation Artifact -- Abstract -- 1 Introduction -- 2 Hampel Filter -- 2.1 Performance Evaluation Measures -- 3 Results and Discussion -- 3.1 Hampel Filter Design for Sinusoid -- 3.2 Hampel Filter Implementation on Synthetic EEG -- 3.3 Hampel Filter Implementation for Removal of DBS Artifact -- 4 Conclusion -- References -- 3 Review on Text Recognition in Natural Scene Images -- Abstract -- 1 Introduction -- 2 Text Recognition System -- 2.1 Preprocessing Module -- 2.2 Text Recognition Module -- 2.3 Post-processing Module -- 3 Literature Review -- 4 Datasets and Protocols -- 4.1 Datasets -- 4.2 Protocols -- 5 Conclusions -- Acknowledgements -- References -- 4 Novel Approach of Spoofing Attack in VANET Location Verification for Non-Line-of-Sight (NLOS) -- Abstract -- 1 Introduction -- 2 Review of Literature -- 3 Motivation and Problem Statement -- 3.1 Lemma -- 3.2 Proof -- 4 Methodology -- 4.1 Multi-hop Location Verification Protocol (MHLVP) Overview -- 4.2 Position Verification Computation of MHLVP -- 5 Potential Issues with MHLVP -- 5.1 Scenario 1 -- 5.2 Scenario 2 -- 5.3 Consequences of the Spoofing Attacks on MHLVP -- 6 Secured Position Verification -- 6.1 Detection Process -- 6.2 Vehicle Functions -- 7 Conclusion -- References -- 5 An Enhanced Method for Privacy-Preserving Data Publishing -- Abstract -- 1 Introduction -- 2 Privacy-Preserving Data Publishing -- 2.1 P-Sensitive K-Anonymity -- 2.2 (p, α)-Sensitive k-Anonymity -- 2.3 Negative Data Publication. 3 Enhanced Method for Privacy-Preserving Using K-Anonymity -- 3.1 (P, U)-Sensitive K-anonymity -- 3.1.1 Discriminated Category -- 3.1.2 Discriminated Union -- 4 Results and Analysis -- 5 Conclusions and Future Work -- References -- 6 Computational Algorithmic Procedure of Integrated Mixture Distribution Inventory Model with Errors in Inspection -- Abstract -- 1 Introduction -- 2 Notations and Assumptions -- 2.1 Notations -- 2.2 Assumptions -- 3 Mathematical Model -- 3.1 Buyer's Perspective -- 3.2 Vendor's Perspective -- 3.3 Integrated Approach -- 3.4 Inspection Errors -- 4 Solution Procedure -- 5 Numerical Example -- 6 Conclusion -- Acknowledgements -- References -- 7 Texture Analysis of Ultrasound Images of Liver Cirrhosis Through New Indexes -- Abstract -- 1 Introduction -- 2 Methodology -- 3 Result -- 4 Conclusions -- References -- 8 Neoteric RA Approach for Optimization in ZRP -- Abstract -- 1 Introduction -- 2 Related Works -- 2.1 ZRP -- 2.2 Constituents of ZRP -- 3 Neoteric RA Approach for Optimization in ZRP -- 4 Illustrative Examples -- 5 Conclusion and Future Scope -- References -- 9 Proposed Better Sequence Alignment for Identification of Organisms Using DNA Barcode -- Abstract -- 1 Introduction to Bioinformatics -- 1.1 Applications of Bioinformatics -- 2 Introduction to DNA Barcoding -- 2.1 Applications of DNA Barcoding -- 2.2 Procedure of DNA Barcoding -- 2.3 Users of DNA Barcoding -- 2.3.1 Taxonomist -- 2.3.2 Ecologists -- 2.3.3 Conservationist -- 2.3.4 Legal Users -- 2.3.5 Animal/Human Health -- 2.3.6 Environmental Protection -- 2.3.7 Naturalist -- 2.3.8 Users that Deal with Utilization of Biodiversity -- 2.3.9 Public -- 2.4 Future of DNA Barcoding -- 2.5 Limitation in DNA Barcoding -- 2.5.1 Unclear Objective Hypothesis -- 2.5.2 Incorrect Identification of Samples -- 2.5.3 Interpretation of Species Identification -- 3 Literature Survey. 4 Problem Definition -- 4.1 Sequence Alignment -- 4.2 Already Existing Pairwise Alignment Algorithms -- 4.2.1 Needleman-Wunsch Algorithm -- 4.2.2 Smith-Waterman Algorithm -- 4.2.3 FASTA -- 4.2.4 BLAST -- 5 Proposed Work -- 5.1 Proposed Algorithm -- 5.2 Features in Proposed Algorithm -- 5.3 Parameters -- 5.4 Methodology -- 5.4.1 Inputs -- 5.4.2 Java Packages -- 5.4.3 Java Classes -- 5.4.4 Java Methods -- BuildMatrix() -- getMaxScore() -- printAlignments() -- printAlignments(String) -- 6 Experimental Evaluation -- 7 Conclusion -- References -- 10 Implementation of Ant Colony Optimization in Routing Protocol for Internet of Things -- Abstract -- 1 Introduction -- 2 Routing Protocol for IoT -- 2.1 RPL Traffic Flow -- 2.2 Control Messages -- 2.3 Objective Function -- 2.4 Expected Transmission Count (ETX) -- 2.5 Trickle Algorithm -- 3 Ant Colony Optimization -- 4 Motivation and Related Research -- 5 Proposed Methodology -- 5.1 RPL in Contiki OS -- 5.2 Powertrace -- 5.3 Ant Colony Optimization -- 5.4 Simulation Environment -- 5.5 Workflow -- 6 Preliminary Results -- 7 Conclusions and Future Work -- References -- 11 A Lexical and Machine Learning-Based Hybrid System for Sentiment Analysis -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 4 Results -- 5 Conclusion and Future Work -- References -- 12 Ontological Extension to Multilevel Indexing -- Abstract -- 1 Introduction -- 2 Proposed System Architecture -- 3 Functional Components -- 3.1 Web Crawler -- 3.2 Document Pre-processing -- 3.3 Weight Calculation Module -- 3.4 Similarity Analyser -- 3.5 Cluster Generator -- 3.6 Query Analyser -- 3.7 Query Processor -- 3.8 Index Generator -- 3.9 Index Structure -- 4 Databases -- 4.1 Ontological Database -- 4.2 Term_Frequency Database -- 4.3 Contextual Database -- 4.4 Cluster Database -- 4.5 Page Repository -- 5 Conclusion -- 6 Result Analysis. References -- 13 A Deterministic Pharmaceutical Inventory Model for Variable Deteriorating Items with Time-Dependent Demand and Time-Dependent Holding Cost in Healthcare Industries -- Abstract -- 1 Introduction -- 2 Notations and Assumptions -- 2.1 Notations -- 2.2 Assumptions -- 3 Mathematical Formulation and Solution of the Model -- 4 Numerical Example -- 5 Conclusion -- Acknowledgements -- References -- 14 Histogram of Oriented Gradients for Image Mosaicing -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Main Steps of Image Stitching -- 3.1.1 Feature Matching -- 3.1.2 Image Matching -- 3.1.3 Image Calibration -- 4 Experimental Setup -- 4.1 Performance Matrices -- 4.1.1 PSNR -- 4.1.2 MSE -- 5 Experimental Results -- 6 Conclusion -- 7 Future Scope -- References -- 15 Capacitive Coupled Truncated Corner Microstrip Stack Patch Antenna -- Abstract -- 1 Introduction -- 2 Proposed System -- 2.1 Top View -- 2.1.1 Stack Patch -- 2.1.2 Radiating Patch -- 2.2 Side View -- 3 Parametric Studies -- 3.1 Performance of Antenna on Design Parameters -- 4 Experimental Results -- 5 Conclusion -- References -- 16 URL-Based Relevance-Ranking Approach to Facilitate Domain-Specific Crawling and Searching -- Abstract -- 1 Introduction -- 2 Proposed Work -- 2.1 Step 1: Initialization -- 2.2 Step 2: Creating the Crawled Repository -- 2.3 Step 3: Web Page Analysis -- 2.4 Step 4: R-Score Computation -- 2.4.1 Domain Score -- 2.4.2 Link Score -- 3 Conclusion -- References -- 17 Performance Enhancement in Requirement Prioritization by Using Least-Squares-Based Random Genetic Algorithm -- Abstract -- 1 Introduction -- 2 Proposed Work -- 3 LSRGA Empirical Study -- 4 Proposed Model -- 5 Analysis -- 6 Results -- 7 Conclusion -- References -- 18 Regression Testing Using User Requirements Based on Genetic Algorithm -- Abstract -- 1 Introduction. 1.1 Re-arrange All -- 1.2 Regression Test Case Selection and Reduction -- 1.3 Test Case Prioritization -- 2 Related Work -- 2.1 Client Requirement-Based Procedures -- 2.2 Coverage-/Scope-Based Procedures -- 2.3 Cost-Effective/Savvy-Based Strategies -- 2.4 Chronographic History-Based Strategies -- 3 Problem Given -- 3.1 Problem -- 4 TCP Approach Utilizing GA -- 5 Implementation and Results -- 5.1 MATLAB Implementation -- 6 Evaluation of Approach -- 7 Conclusion -- References -- 19 Rainfall Forecasting Using Backpropagation Neural Network -- Abstract -- 1 Introduction -- 2 Dataset Used -- 3 Research Methodology -- 4 Data Analysis -- 5 Conclusion -- References -- 20 Computational Intelligence via Applications -- Abstract -- 1 Introduction -- 1.1 Which Type of Application to Go for: Native, Hybrid or Web App -- 1.2 Existing Applications Possessing AI -- 1.3 About My Application "G-Connect" -- 2 Experiment -- 2.1 Open Source and Cost Free IDE -- 2.2 Working -- 3 Conclusion -- 4 Future Direction -- References -- 21 Web Page Representation Using Backtracking with Multidimensional Database for Small Screen Terminals -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Block Extraction -- 4 Heading Search Through Backtracking -- 5 Cube as the Data Structure for Database -- 6 Heading Extraction for Small Screen Terminals -- 7 Conclusion and Future Work -- References. EBL202103 XX SzGeCERN BOOK Sharma, Sudeep Batra, Usha https://cds.cern.ch/auth.py?r=EBLIB_P_6297137 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757443 BOOK MIGRATED 2757258 SzGeCERN 20210421184118.0 9783319454801 electronic version electronic version 9783319454795 print version oai:cds.cern.ch:2757258 cerncds:BOOK EBL 6297027 eng QA76.9.A25 .C667 2016 005.8 Skavhaug, Amund Computer safety, reliability, and security SAFECOMP 2016 workshops, ASSURE, DECSoS, SASSUR, and TIPS, Trondheim, Norway, September 20, 2016, proceedings Cham Springer International Publishing AG 2016 408 p ebook Lecture notes in computer science 9923 Intro -- Preface -- Organization -- Contents -- 4th International Workshop on Assurance Cases for Software-Intensive Systems (ASSURE 2016) -- ASSURE 2016: The 4th International Workshop on Assurance Cases for Software-Intensive Systems -- Introduction -- Program -- Acknowledgments -- The Agile Safety Case -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Some Current Safety Case Standards -- 4 Reuse Opportunities and Templates -- 4.1 Reuse Opportunities -- 4.2 The Use of Templates -- 5 Building a Safety Case with SafeScrum -- 5.1 The Extended SafeScrum -- 5.2 IEC 61508 - Building SSRS and Hazard Log -- 5.3 The Safety Case Document -- 5.3.1 On Safety Cases -- 5.3.2 Constructing Safety Cases -- 6 Discussions -- 7 Conclusions -- References -- Systematic Maintenance of Safety Cases to Reduce Risk -- 1 Introduction -- 2 Background and Motivation -- 2.1 Safety Contracts -- 2.2 The Goal Structuring Notation (GSN) -- 2.3 Safety Cases Maintainability: What Does it Mean? -- 2.4 Safety Cases Maintainability: Why Is it Painstaking? -- 3 Sensitivity Analysis for Enabling Safety Argument Maintenance (SANESAM) -- 3.1 The Roles of Safety Contracts in SANESAM and SANESAM+ -- 3.2 Support the Prediction of Potential System Changes -- 4 Conclusion and Future Work -- References -- On Using Results of Code-Level Bounded Model Checking in Assurance Cases -- 1 Introduction -- 2 Using BMC Results as Formal Verification Evidence -- 3 Confidence in Incomplete Results -- 4 Preliminary Experience -- 4.1 Traffic Collision Avoidance System -- 4.2 Hamming Error Detection and Correction Algorithm -- 4.3 Case Study 3: Patients Trolley -- 5 Discussion -- 6 Related Work -- 7 Conclusions -- References -- Configuration-Aware Contracts -- 1 Introduction -- 2 Background -- 2.1 The Assumption/Guarantee Contracts -- 2.2 Motivating Case -- 3 The Configuration-Aware Contracts. 3.1 A Component Configuration Context -- 3.2 Configuration-Aware Contracts -- 3.3 A Multi-context Component -- 3.4 From Configuration-Aware Contracts to Traditional Contracts -- 4 Ilustrative Case -- 5 Related Work -- 6 Conclusions and Future Work -- References -- Developing SNS Tool for Consensus Building on Environmental Safety Using Assurance Cases -- 1 Introduction -- 2 Preliminary Experiment -- 2.1 Experimental Result -- 3 Related Work -- 4 Concluding Remarks -- References -- The 6W1H Model as a Basis for Systems Assurance Argument -- 1 Introduction -- 2 Background -- 2.1 Disaster Management Activities in Hiratsuka City -- 2.2 Open Systems Dependability -- 2.3 International Standards for Systems -- 3 Leading Example: Water Supply Activities -- 3.1 Grasp a Complete View of the System -- 3.2 Comprehend the System in Detail -- 3.3 Discussion -- 4 6W1H Model -- 5 Building an Assurance Argument of Water Supply Subsystem from Water Supply Activities -- 5.1 Grasp a Complete View of the System -- 5.2 Comprehend the System in Detail -- 5.3 Building an Assurance Case Based on the 6W1H Model -- 6 Related Work -- 7 Conclusion and Future Work -- References -- The Assurance Timeline: Building Assurance Cases for Synthetic Biology -- 1 Introduction -- 2 Background and Motivation -- 2.1 Synthetic Biology -- 2.2 An Argument for SEBO Assurance Cases -- 3 Assuring SEBOs: An Illustrative Example -- 3.1 Initial Assurance Case -- 3.2 Evolution in SEBOs -- 3.3 The Assurance Timeline -- 4 Related Work -- 5 Conclusions and Future Work -- References -- Towards Safety Case Integration with Hazard Analysis for Medical Devices -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Safety Cases for Medical Devices -- 2.2 Safety Argument Patterns -- 3 Safety Case to Hazard Table Relationship -- 4 Hazard Table Integration with Safety Case -- 4.1 Pattern Instantiation Process. 4.2 Integration with Hazard Table Case Study -- 5 Summary of the Case Study and Further Work -- 6 Conclusions -- References -- 11th International ERCIM/EWICS/ARTEMIS Workshop on Cyber-Physical Systems and Systems-of-Systems (DECSoS) -- DECSoS 2016: The 11th ERCIM/EWICS/ARTEMIS Workshop on Dependable Embedded and Cyber-Physical Systems and Systems-of-Systems -- Introduction -- ARTEMIS/ECSEL: The European Cyber-Physical Systems Initiative -- This Year's Workshop -- Sec4 -- Testing Safety Properties of Cyber-Physical Systems with Non-Intrusive Fault Injection -- An Industrial Case Study -- 1 Introduction -- 2 Terms -- 3 Safety Requirements -- 3.1 Application Context -- 3.2 System Scope -- 3.3 Requirement R1: Redundant Input Signals -- 3.4 Requirement R2: Fail-Operational Data Processing -- 4 Target System -- 4.1 Platform Safety Mechanisms -- 4.2 Non-Intrusive Test Probe Mechanism -- 5 Safety Tests -- 6 Plausibility Check and Test Analysis -- 7 Summary -- References -- Quantitative Reliability Assessment for Mobile Cooperative Systems -- Abstract -- 1 Introduction -- 2 Modelling Cooperative Behaviour -- 2.1 Coloured Petri Nets -- 2.2 Example -- 3 Model-Based Reliability Analysis -- 4 Model-Based Instantiation of Operational Profile -- 4.1 Systematic Analysis and Generation of Random Events -- 4.2 Example -- 5 Results -- 6 Conclusion -- Acknowledgment -- Appendix -- References -- An Approach for Systematic In-the-Loop Simulations for Development and Test of a Complex Mechatronic Embedded System -- 1 Introduction -- 2 System Model -- 3 Methodology -- 3.1 Simulation Wrapper (SW) -- 3.2 Simulator Coordinator (SC) -- 4 Case Study -- 5 Conclusion and Future Work -- References -- Gate-Level-Accurate Fault-Effect Analysis at Virtual-Prototype Speed -- 1 Introduction -- 2 Related Work -- 3 Mixed-Level Safety Verification -- 3.1 Fault Injection -- 3.2 Fault Models. 3.3 Simulation Environment and Flow -- 4 Case Studies and Results -- 4.1 Adder Architectures -- 4.2 MIPS CPU Architecture -- 4.3 Fault-Injection Object's Performance -- 4.4 Fault-Effect Analysis -- 5 Summary -- References -- Using SAE J3061 for Automotive Security Requirement Engineering -- 1 Introduction -- 2 Overview of J3061 -- 3 Application of J3061 -- 3.1 System Description -- 3.2 Threat Analysis and Risk Assessment -- 3.3 Cybersecurity Concept and Requirement -- 3.4 Final Steps in Concept Phase -- 4 Discussion -- 5 Conclusion -- References -- Dynamic Safety Contracts for Functional Cooperation of Automotive Systems -- Abstract -- 1 Introduction -- 2 State of the Art -- 3 Dynamic Safety Contracts -- 3.1 Qualitative Safety Contract Module -- 3.2 Quantitative Safety Contract Module -- 3.3 Composition of DSC Moduls and Evaluation Procedure -- 3.4 Top Level Safety Quality Attributes and Reaction Behaviour -- 4 Operationalization of DSC Evaluation -- 5 Conclusion -- References -- Time-of-Flight Based Optical Communication for Safety-Critical Applications in Autonomous Driving -- 1 Introduction -- 2 Problems of RF Based V2V Communication -- 2.1 Security -- 3 Image Sensor Based V2V Communication -- 3.1 The Influence of Atmospheric Turbulences -- 4 Time-of-Flight Sensors -- 4.1 Optical Communication with Time-of-Flight Sensors -- 5 Secured and Robust Communication with Time-of-Flight Sensors -- 5.1 Context and Location-Aware Communication -- 5.2 Benefits for Secured Communication -- 6 Conclusion and Future Work -- References -- Limitation and Improvement of STPA-Sec for Safety and Security Co-analysis -- 1 Introduction -- 2 State of the Art -- 3 Review of STPA-Sec -- 4 Extension of STPA-Sec -- 4.1 Alignment of Terminology -- 4.2 Guidance for the Elicitation of Intentional Scenarios -- 5 Case Study -- 5.1 Backtest of Existing Scenarios. 5.2 Analysis of Battery Management System -- 5.3 Evaluation and Discussion -- 6 Conclusion -- References -- Security Services for Mixed-Criticality Systems Based on Networked Multi-core Chips -- 1 Introduction -- 2 Related Work -- 3 DREAMS Architecture -- 4 Security in the DREAMS Architecture -- 5 Required Security Properties -- 6 Definition of Security Services -- 6.1 Integrity -- 6.2 Authenticity -- 6.3 Confidentiality -- 6.4 Access Control -- 6.5 Additional Services -- 7 Security Service Classification -- 8 Use Cases in the DREAMS Project -- 8.1 Resource Management -- 8.2 Time Synchronization -- 9 Conclusion -- References -- Analysis of Informed Attacks and Appropriate Countermeasures for Cyber-Physical Systems -- Abstract -- 1 Introduction, Motivation and Intention -- 2 Network Attacks Based on Network Knowledge -- 3 Network Attacks Based on Application/Control Knowledge -- 3.1 Classification of Constraints on Attacks -- 3.2 Examples -- 3.3 Avoidance and Detection Techniques -- 4 Network Attacks Based on Code Knowledge -- 4.1 Overflow-Based Network Attacks -- 4.2 Overflow Avoidance, On-Line Checks and Static Analysis -- 4.3 Overflow Detection by Testing Techniques -- 5 Conclusion -- Acknowledgment -- References -- Advanced Security Considerations in the Arrowhead Framework -- 1 Introduction -- 2 The Elements of the Arrowhead Framework -- 2.1 Local Automation Clouds -- 2.2 Systems and Services -- 2.3 Core Systems and Services -- 2.4 Inter-cloud Servicing -- 3 Security in the Arrowhead Framework -- 3.1 Issues to Tackle -- 3.2 A Ticketing Approach -- 3.3 The Public Key Infrastructure -- 4 Enhancements in the Arrowhead Framework -- 4.1 Creating a Certificate Hierarchy -- 4.2 Managing Access Rights -- 4.3 Integration with the Ticketing Schema -- 4.4 Integration with the Inter-cloud Architecture -- 5 Summary -- References. The Role of the Supply Chain in Cybersecurity Incident Handling for Drilling Rigs. EBL202103 XX SzGeCERN EBL Computer security-Congresses BOOK Guiochet, Jérémie Schoitsch, Erwin Bitsch, Friedemann https://cds.cern.ch/auth.py?r=EBLIB_P_6297027 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757258 BOOK MIGRATED 2757254 SzGeCERN 20210421184118.0 9783319128238 electronic version electronic version 9783319128221 print version oai:cds.cern.ch:2757254 cerncds:BOOK EBL 6297014 eng ZA4080 .E447 2014 025.00285 Tuamsuk, Kulthida The emergence of digital libraries - research and practices 16th international conference on Asia-Pacific digital libraries, ICADL 2014, Chiang Mai, Thailand, November 5-7, 2014, proceedings Cham Springer International Publishing AG 2014 449 p ebook Lecture notes in computer science 8839 Intro -- Preface -- Organization -- Table of Contents -- Digital Preservation and Archiving -- Content Profiling for Preservation: Improving Scale, Depth and Quality -- 1 Introduction -- 2 Characterization and Content Profiling -- 3 Challenges and Contribution -- 4 Experiments -- 5 Summary -- References -- Digital Preservation of Palm-Leaf Manuscripts in Thailand -- 1 Introduction -- 2 Methodology -- 3 Results of the Study -- 3.1 National Library -- 3.2 "Survey, Study, and Digitize Local Manuscripts from Western Thailand" Project, Princess Maha Chakri Sirindhorn Anthropology Centre -- 3.3 Social Research Institute of Chiang Mai University -- 3.4 Chiang Mai University Library -- 3.5 Palm Leaf Manuscript Centre, Institute of Languages, Arts, and Culture, Chiang Mai Rajabhat University -- 3.6 Project for Palm Leaf Manuscript Preservation in Northeastern Thailand, Mahasarakham University -- 4 Problems of Preservation of the PLMs by Digitization -- 5 The Guidelines of Preservation of the PLMs by Digitization -- 6 Conclusion -- References -- A Distributed Platform for Archiving and Viewing Cultural Artifacts in 3D -- 1 Introduction -- 2 Related Works -- 2.1 Metadata Standard in Cultural Heritage Area -- 2.2 Real World Projects -- 3 Proposed Data Model -- 4 Prototype System -- 5 Conclusions and Future Work -- Reference -- Digital Repositories and Tools -- Comparative Study of Digital Repositories: A Case Study of -- 1 Introduction -- 2 Literature Survey -- 3 Aim of the Study -- 4 Methodology -- 5 Analysis and Findings -- 5.1 Software Features -- 5.2 Prevailing Attributes of Both Repositories -- 5.3 Building Up of -- 5.4 Comparative Characteristics -- 5.5 Browsing and Search Results -- 5.6 Mechanism for Replacement -- 6 Discussions and Conclusions -- References -- Personal Digital Libraries: Keeping Track of Academic Reading Material -- 1 Introduction. 2 User Study -- 3 Requirements -- 4 Related Work -- 5 System Design and Prototype Implementation -- 5.1 Conceptual Design -- 5.2 Implementation -- 6 Evaluation: Exploratory User Study -- 7 Discussion and Conclusion -- References -- Quality Assurance Tool Suite for Error Detection in Digital Repositories -- 1 Introduction -- 2 Related Work -- 3 Duplicate, Cropping Error and Finger Detection Process -- 3.1 Duplicate DetectionWorkflow -- 3.2 Cropping Error DetectionWorkflow -- 3.3 Finger DetectionWorkflow -- 4 Evaluation -- 4.1 Hypothesis and Evaluation Methods of the Collection Analysis -- 4.2 Experimental Results and Its Interpretation -- 5 Conclusion -- References -- Altmetrics for Country-Level Research Assessment -- 1 Introduction -- 2 Related Work -- 3 Data and Methods -- 4 Results and Discussion -- 4.1 Article-Level Altmetrics -- 4.2 Country-Level Altm metrics -- 5 Future Work -- References -- Scholarly Document Repositories -- OA Policies and the Sustainability of Digital Libraries of Scholarly Information -- 1 Introduction -- 2 Sustainability of Digital Libraries -- 3 Recently Introduced OA Policies -- 4 OA Policies and the Economic Sustainability of Scholarly Digital Libraries -- 5 OA Policies and the Social Sustainability of Scholarly Digital Libraries -- 6 OA Policies and the Environmental Sustainability of Scholarly Digital Libraries -- 7 Conclusion -- References -- Evaluating the Academic Performance of Institutions within Scholarly Communities -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Data Collection -- 3.2 Weighted Institution Collaboration Network -- 3.3 Factor Graph-Based Institution Ranking Model -- 4 Experimental Results and Discussion -- 5 Conclusion and Future Work -- References -- Axis-Based Alignment of Scholarly Papers and Its Presentation Slides Considering Document Structure -- 1 Introduction. 2 Related Work -- 3 Problem Setting and Outline of the Proposed Method -- 3.1 Problem Setting -- 3.2 Baseline Method -- 3.3 Outline of the Prop posed Method -- 4 Axis-Based Adjustment -- 4.1 Title Similarity -- 4.2 Content Similarity Difference -- 4.3 Decision of Axis Alignments -- 4.4 Order Penalty -- 5 Two-Step Alignm ment -- 6 Experiment -- 6.1 Evaluation of Proposed Method -- 6.2 Comparison with Existing Method -- 7 Conclusion -- References -- Metadata and Ontologies -- An Evaluation Study of the Automating Metadata Interoperability Model at Schema Level: A Case Study of the Digital Thai Lanna Archive -- 1 Introduction -- 2 Conceptual Framework -- 3 AMI Model -- 3.1 Preparation Process -- 3.2 Matching Process -- 4 AMI Model Evaluation -- 4.1 Objective -- 4.2 Variables -- 4.3 Hypothesis -- 4.4 Task -- 5 Result Analysis -- 6 Conclusion and Recommendation -- References -- The Construction of an Ontologies Using Recommender Management System for Tourism Website of Northeast Thailand -- 1 Introduction -- 2 Literature Review -- 2.1 Ontology -- 2.2 Semantic Web -- 2.3 Ontology Information Retrieval System -- 2.4 Recommender Management System (RMS) -- 3 Methodology -- 3.1 Compilation of Concepts and Terms -- 3.2 Design and Development Ontology -- 3.3 Mapping Ontology -- 3.4 Information Retrieval and Recommend -- 3.5 Evaluation -- 4 Results -- 4.1 F-measure -- 4.2 Processing Time -- 5 Conclusion -- References -- Learning Object Metadata Mapping for Linked Open Data -- 1 Introduction -- 2 Mapping Background -- 3 System Architecture -- 3.1 Data Source Provider Service -- 3.2 Mapping Service -- 3.3 Keyword Reference and Redefine -- 3.4 Query Service -- 3.5 Visualization Service -- 4 Data Mapping Module -- 4.1 Define Database Table Cases -- 4.2 Database Convert Process -- 4.3 Mapping Generation -- 5 Result Validation -- 5.1 Case Study. 5.2 Verifying the Preservation of Semantic with SPARQL -- 6 Conclusion -- References -- Transformation of DSpace Database into Ontology -- 1 Introduction -- 2 Related Work -- 3 Proposed Transformation System -- 3.1 Metadata Extraction -- 3.2 Relation to Ontology Transformation -- 4 Evaluation and Results -- 5 Conclusion -- References -- Linked Data and Knowledge Sharing -- An Application Profile for Linked Teacher Profiles and Teaching Resources -- 1 Introduction -- 2 Related Works -- 3 The Proposed A Approach -- 3.1 Functional Requirements Gathering -- 3.2 Domain Model Dev velopment -- 3.3 The Metadata and Description Set Profile Modeling -- 4 Evaluation -- 5 Conclusion and Future Works -- References -- Knowledge Sharing by Students: Preference for Online Discussion Board vs Face-to-Face Class Participation -- 1 Introduction -- 2 Methodology -- 3 Findings -- 3.1 Perceptions of Knowledge Sharing Activities -- 3.2 Preferred Knowledge Sharing Modes -- 3.3 Perceived Benefits of Face-to-Face Class Discussions -- 3.4 Motivating Factors for Face-to-Face Class Participation -- 3.5 Barriers to Face-to-Face Class Participation -- 3.6 Perceived Benefits of Online Discussion Boards -- 3.7 Motivating Factors for Participation in Online Discussion Board -- 3.8 Barriers to Participation in Online Discussion Boards -- 4 Conclusion -- References -- Digital Books and eBooks -- A Comparative Analysis of Children's Reading Activity for Digital Picture Books in Local Public Libraries -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Field Study -- 4.1 Setting -- 4.2 Results and Considerations -- 5 Conclusions -- References -- A Log Analysis Study of 10 Years of eBook Consumption in Academic Library Collections -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 The eBook Collections -- 3.2 eBook Log Analysis -- 4 Log Analysis of eBook Accesses. 4.1 eBook Access Over Time -- 4.2 Popular eBooks -- 4.3 Pages Accessed/Rea ad/Printed -- 4.4 Single User vs Multiple User Books: Queues and Turnaways -- 4.5 Patron-Driven Acquisition -- 5 Discussion -- 6 Conclusions -- References -- Family Visits to Libraries and Bookshops: Observations and Implications for Digital Libraries -- 1 Introduction -- 2 Related Work -- 2.1 Book Search and Selection Strategies -- 2.2 Social Aspects of Book Finding -- 2.3 Digital Libraries for Children -- 3 Method -- 3.1 Participant Sample -- 4 Results -- 4.1 Interviews -- 4.2 Observations -- 5 Discussion -- 5.1 Searching and Browsing -- 5.2 Interactions with Books -- 5.3 Decision Making -- 5.4 Social Interactions -- 5.5 Limitations and Further Work -- 6 Conclusions: Implications for Digital Libraries -- References -- Shared Reading of Children's Interactive Picture Books -- 1 Introduction -- 2 Related Work -- 2.1 Shared Reading -- 2.2 Importance of Pictures -- 2.3 Interactive Books -- 2.4 Expressive Typography -- 3 Study Methodology -- 4 Results -- 4.1 Control Picture Book - -- 4.2 Interactive Books -- 4.3 Expressive Typography Books -- 5 Discussion -- 6 Recommendations for Children's Interactive Book Design -- References -- Digital Libraries Usage and Applications -- Cross Media Recommendation in Digital Library -- 1 Introduction -- 2 Related Works -- 3 Proposed Approach -- 3.1 Representation of Cross-Media Data -- 3.2 Learning Structural Sparse-Based Feature Selection -- 3.3 Personalized Recommendation of Top -- 4 Experiments -- 4.1 Dataset -- 4.2 Evaluation Metrics -- 4.3 Experiment Results s -- 5 Conclusion and Future Work -- References -- Towards a Full-Text Historical Digital Library -- 1 Introduction -- 2 Information Organization for Historical Materials -- 3 Long-Form Historical Analysis -- 4 Widgets -- 5 Enhanced Table of Contents Interaction Widget. 5.1 TOC Interaction Widget. EBL202103 XX SzGeCERN EBL Digital libraries-Congresses BOOK Jatowt, Adam Rasmussen, Edie https://cds.cern.ch/auth.py?r=EBLIB_P_6297014 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2757254 BOOK MIGRATED 2757225 SzGeCERN 20210421184119.0 9783030037635 electronic version electronic version 9783030037628 print version oai:cds.cern.ch:2757225 cerncds:BOOK EBL 6296856 eng TK5105.6 .T454 2018 302.23 Mata-Rivera, Miguel Felix Telematics and computing 7th international congress, WITCOM 2018, Mazatlán, Mexico, November 5-9, 2018, proceedings Cham Springer International Publishing AG 2018 286 p ebook Communications in computer and information science 944 Intro -- Preface -- Organization -- Contents -- Telematics and Security -- Cryptanalysis of the RSA Algorithm Under a System Distributed Using SBC Devices -- Abstract -- 1 Introduction -- 1.1 RSA Encryption Algorithm Concept -- 1.2 RSA Cryptanalysis Techniques -- 2 Previous Research -- 2.1 SBC Device -- 2.2 Software Tools -- 3 Experiments and Results -- 4 Conclusions and Future Work -- Acknowledgments -- References -- Security Evaluation in Wireless Networks -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Exploration Phase -- 2.2 Analysis Phase -- 2.3 Attack Phase -- 2.4 Exploration Phase -- 3 Variables Analysis and Tools -- 3.1 Encryption Attack -- 3.2 Wi-Fi Alliance Certificate Attack and Risk Analysis -- 4 Security Evaluation -- 5 Conclusions and Future Work -- References -- Microstrip Antenna Array Design for (698-806) MHz UHF Band Application -- Abstract -- 1 Introduction -- 2 Design Basis -- 3 Simulation -- 4 Experimentation -- 5 Conclusion -- References -- Performance Evaluation of a P2P System in Underlay Cognitive Radio Network -- 1 Introduction -- 2 System Description -- 2.1 Primary Network -- 2.2 Secondary Network -- 2.3 Cognitive Radio System -- 3 Numerical Results -- 4 Conclusions -- References -- Design and Simulation of Antennas for Energy Harvesting Systems in the WiFi Band -- 1 Introduction -- 2 Design of the Antennas -- 2.1 Biquad Antenna -- 2.2 Disc-Yagi Antenna -- 2.3 PCB-Yagi Antenna -- 3 Results of the Simulations -- 3.1 Biquad Antenna -- 3.2 Disc-Yagi Antenna -- 3.3 PCB-Yagi Antenna -- 4 Conclusions -- References -- Low Power Sensor Node Applied to Domotic Using IoT -- Abstract -- 1 Introduction -- 2 System Architecture Proposed -- 2.1 Sensor Node -- 2.2 Base Node -- 3 Testing and Results -- 3.1 Tests of the Sensor Node -- 3.2 Tests of the Base Node -- 4 Discussion and Conclusions -- Acknowledgments -- References. Proposal for a VoD Service Supported in a Context-Based Architecture -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Proposal of the Architecture -- 3.1 Business View -- 3.2 Context View -- 3.3 Functional View -- 3.4 Implementation View -- 4 VoD Service -- 5 Conclusions and Future Work -- References -- Architecture Proposal for the Processing of Control Algorithms Applied in Microgrids -- Abstract -- 1 Introduction -- 2 System Architecture Proposed -- 2.1 Digital Signal Controller -- 2.2 Processing Architecture in FPGA -- 2.3 Communication Architecture in FPGA -- 3 Testing and Results -- 4 Conclusions -- Acknowledgement -- References -- Data Analytics and Machine Learning -- News Article Classification of Mexican Newspapers -- 1 Introduction -- 2 News Articles Gathering -- 3 Experiments and Results -- 4 Conclusions and Future Work -- References -- Towards a Multimodal Portal Framework in Support of Informal Sector Businesses -- Abstract -- 1 Introduction -- 2 Background and Related Work -- 3 Research Methodology -- 3.1 Requirements and Affordances of the TESISSA Portal (TP) -- 3.2 The Architecture of the TESISSA Portal -- 4 Analytical Comparison of the TESISSA Portal and Other Classified Websites -- 5 Result and Discussion -- 5.1 Results -- 5.2 Discussion -- 6 Conclusion -- References -- Automatic Fuzzy Contrast Enhancement Using Gaussian Mixture Models Clustering -- 1 Introduction -- 2 Contrast -- 2.1 Contrast Enhancement -- 3 Methodology -- 3.1 Fuzzy Segmentation -- 3.2 Fuzzy Contrast Enhancement -- 3.3 Gaussian Mixture Models -- 4 Proposed Method -- 5 Results -- 6 Conclusions -- References -- Characterization of the Serious Games Applied to the Historical Heritage -- Abstract -- 1 Introduction -- 2 Problem Statement -- 3 Methodology -- 3.1 Phase 1: Identification of Criteria and Search. 3.2 Phase 2: Selection and Classification of Primary Studies -- 3.3 Phase 3: Analysis of Results -- 4 Methodology -- 4.1 Significance of the Game -- 4.2 Taxonomy -- 4.3 From the Mechanical and the Applied Dynamics Are Considered -- 4.4 Mechanisms of Reward -- 4.5 Characters and Narrative -- 4.6 Game Mechanics -- 5 Elements Recommended for the Construction of Serious Games Focused on the Heritage -- 5.1 Heritage Elements -- 5.2 Team Definition -- 5.3 Aspects of Learning -- 5.4 Aspects for a Successful Game -- 6 Conclusions -- References -- IoT and Mobile Computing -- Service Architecture of Systems Immersed in Internet of Things Paradigm -- Abstract -- 1 Introduction -- 2 Definition of the Architecture's Modules -- 3 Problems and How We Face Them -- 3.1 The Lack of Resources -- 3.2 Own Technology -- 3.3 Complexity -- 3.4 Security -- 4 Architecture Specification -- 4.1 Middleware -- 4.2 Replica Control of Frames -- 4.3 Management and Decoding of Frames -- 4.4 Management of Destination Node -- 4.5 Request Handling -- 4.6 Service Connection Architecture -- 4.7 Access Control Module -- 4.8 Profiles Control Module -- 4.9 Interconnection Module with Multiple Services -- 4.10 Internal Services Control Module -- 5 Conclusions -- 5.1 Middleware -- 5.2 Service Interconnection Architecture -- 5.3 Gateway API -- 5.4 Linux Containers -- 5.5 Message Automation -- 6 Future Work -- References -- Embedded System for the Communication and Monitoring of an Electric Microgrid Using IoT -- Abstract -- 1 Introduction -- 2 System Architecture Proposed -- 2.1 Sensor Node -- 2.2 Embedded Servers -- 2.3 Mobile Application -- 3 Testing and Results -- 3.1 Tests of the Data Server -- 3.2 Tests of the IoT Server -- 4 Discussion and Conclusions -- 4.1 Discussion -- 4.2 Conclusions -- Acknowledgement -- References -- Mobile System as a Support in the Study of Calculus -- Abstract. 1 Introduction -- 2 Background and Research Problem -- 3 Development of the Context Sensible Mobile Information System (SIMAATCA) -- 3.1 Methodology -- 3.2 Design Stage -- 4 Results -- 4.1 Results About Terminology and Application Information -- 5 Conclusions -- 6 Future Work -- References -- Implementation of Personal Information Management Architecture in Mobile Environments -- Abstract -- 1 Introduction -- 2 State of Art -- 2.1 Architecture -- 2.2 Personal Information Management Systems (PIMS) -- 3 Research Problem -- 3.1 Hypotheses -- 3.2 Architectonic Model -- 3.3 Architecture Description -- 3.4 Implementation of the Architecture into a Study Case -- 4 Results -- 5 Results Discussion -- 6 Conclusions -- References -- Software Engineering -- Software System for the Analysis of Mental Stress in Usability Tests -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Conceptual Framework -- 4 Software System for the Analysis of Mental Stress -- 5 Functional Verification of the Software System -- 6 Conclusions and Future Work -- References -- Proposal of a Tool for the Stimation of Satisfaction in Usability Test Under the Approach of Thinking Aloud -- Abstract -- 1 Introduction -- 2 Conceptual Framework -- 2.1 Satisfaction -- 2.2 Russell's Model -- 2.3 Usability Laboratory -- 2.4 The Voice -- 2.5 Librería OpenEar -- 2.6 User Test -- 3 Procedure for Estimating Satisfaction in User Tests -- 4 Design and Implementation of the Proposed Tool -- 4.1 Adaptation of Russell's Model -- 4.2 Functional Structure of the Tool -- 4.3 Final Prototype of the Tool -- 5 Conclusions and Future Work -- References -- Exploration of Serious Games on Environmental Issues -- Abstract -- 1 Introduction -- 2 Theoretical Framework -- 2.1 Environmental Issues -- 2.2 Serious Games (Serious Games) -- 3 Methodology -- 3.1 A. Search and Selection -- 3.2 B. Filtering. 4 Results Obtained -- 5 Conclusions and Future Work -- References -- Recycling: A Serious Game Focused on the Classification of Waste -- Abstract -- 1 Introduction -- 2 Conceptual Framework -- 2.1 Serious Games -- 2.2 Recycling -- 2.3 Education -- 2.4 Gamification -- 3 Related Work -- 4 Recycling Game Approach -- 5 Structure of the Game -- 6 Evaluation Game: Usability Principles for Design Video Games -- 6.1 Game Evaluation by Experts -- 7 Results -- 8 Conclusions and Future Work -- References -- Modeling a Hazardous Waste Monitoring System with INGENIAS Methodology -- Abstract -- 1 Introduction -- 2 INGENIAS Methodology -- 3 Multi-agent Architecture -- 3.1 Modeling the System Architecture -- 3.1.1 Container Agent -- 3.1.2 Storage Agent -- 3.1.3 Collector Agent -- 3.1.4 Interface Agent -- 3.1.5 Organization Model -- 3.1.6 Goals and Tasks Model -- 3.1.7 Environment Model -- 4 Conclusion and Future Work -- References -- Education -- Estimation of Skill Level in Intelligent Tutoring Systems Using a Multi-attribute Methodology -- 1 Introduction -- 2 MAUT Methodology -- 3 Proposed Architecture -- 4 Marginal Performance Indices -- 4.1 The Difficulty Index -- 4.2 The Time Index -- 4.3 The Attempts Index -- 5 Global Performance Index -- 5.1 The Choquet Integral as GPI -- 5.2 Behavior Analysis of the Choquet Integral -- 5.3 An Interactive Metholology for Construction of GPI -- 5.4 Ilustrative Example -- 6 Conclusions and Future Work -- References -- Development Serious Games Using Agile Methods. Test Case: Values and Attitudinal Skills -- 1 Introduction -- 2 Serious Games -- 2.1 Serious Game Components -- 3 Agile Methods -- 4 Attitudinal Skills -- 5 Serious Game Test Case: Values and Attitudinal Skills -- 6 Concluding Remark -- References -- Author Index. EBL202103 XX SzGeCERN BOOK Zagal-Flores, Roberto https://cds.cern.ch/auth.py?r=EBLIB_P_6296856 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757225 BOOK MIGRATED 2757193 SzGeCERN 20210421184121.0 9783319737515 electronic version electronic version 9783319737508 print version oai:cds.cern.ch:2757193 cerncds:BOOK EBL 6296728 eng TK5105.5828 .S478 2018 004.6 Borangiu, Theodor Service orientation in holonic and multi-agent manufacturing proceedings of SOHOMA 2017 Cham Springer International Publishing AG 2018 498 p ebook Studies in computational intelligence 762 Intro -- Preface -- Contents -- 1 Artificial Intelligence, Autonomous Systems and Robotics: Legal Innovations -- Abstract -- 1 Contextual Elements: Artificial Intelligence and Data -- 2 Robotics and Intellectual Property -- 3 EU Civil Laws on Robotics -- 4 Contractual Frame When Developing Artificial Intelligence -- 5 Legal Liabilities for Autonomous Systems -- 6 Application to Cyber-Physical Systems -- 7 Conclusion -- Acknowledgements -- References -- Advanced Manufacturing Control -- Multi-agent System Architecture for Zero Defect Multi-stage Manufacturing -- 1 Introduction -- 2 Challenges of Applying ZDM in Multi-stage Manufacturing -- 3 Architectural Design Principles for the Multi-agent CPS -- 3.1 Multi-agent Systems to Implement the Distributed Intelligence -- 3.2 Agents: Roles and Functionalities -- 4 Data Analysis at Edge and Cloud Levels -- 5 Interaction Patterns Towards ZDM Strategies -- 6 Conclusion -- References -- 3 Multicriteria Supplier Selection for Supply Chain Management -- Abstract -- 1 Introduction -- 2 Exploitation of the Decision-Making Method in a Simulation Environment -- 2.1 The AHP Method: Configuration and Exploitation Phases -- 2.2 Presentation of the SEE Platform -- 3 Implementation of the AHP Method in the SEE Platform -- 3.1 Profiles and Behaviours of the Supplier Agents -- 3.2 Implementation of the AHP Method -- 3.2.1 Phase 1: Configuration (Static Phase) -- 3.2.2 Phase 2: Exploitation (Dynamic Phase) -- 4 Impact of the Integration of AHP as a Multicriteria Decision Aid Method -- 4.1 Description of the Simulation Cases -- 4.2 Results Analysis -- 5 Conclusion and Future Works -- References -- 4 Environmental Assessment Using a Lean Based Tool -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Sustainable Manufacturing -- 2.2 Lean Manufacturing -- 2.3 Overall Equipment Effectiveness. 3 OGP: Overall Greenness Performance -- 4 Conclusions -- Acknowledgements -- References -- 5 A Maturity Framework for Operational Resilience and Its Application to Production Control -- Abstract -- 1 Introduction -- 2 Review -- 2.1 Definitions and Metrics -- 2.2 Examining and Assessing Resilience -- 2.3 Strategies for Managing Resilience -- 2.4 Challenges in Developing Resilience/Managing Disruptions -- 3 A Framework for Managing and Improving Resilience -- 3.1 Aims and Rationale -- 3.2 Framework Overview -- 3.3 Details of Operational Resilience Dimensions -- 4 Resilience Maturity for Production Operations -- 4.1 Why Measure Resilience Levels -- 4.2 Levels of Industrial Resilience -- 5 Case Study: Production Resilience in the Control of a Laboratory Forming and Assembly Operation -- 5.1 Problem Description -- 5.2 Operational Overview -- 5.3 Operational Resilience Maturity Levels -- 6 Conclusions -- References -- 6 A Case Study of Intelligent Manufacturing Control Based on Multi-agents System to Deal with Batching and Sequencing on Rework Context -- Abstract -- 1 Introduction -- 2 Toward an Intelligent Manufacturing System -- 3 Implementation on TRACILOGIS Platform -- 3.1 The TRACILOGIS Platform -- 3.2 Transposition of Acta-Mobilier Case Study on the Test-Based Platform -- 4 Experimental Results -- 5 Conclusions -- Acknowledgements -- References -- Big Data Management -- 7 Communicating Aircraft Structure for Solving Black-Box Loss on Ocean Crash -- Abstract -- 1 Introduction -- 2 Problem Statement -- 3 Data Storage Techniques in WSN -- 4 Cluster-Based Solution for Black-Box Data Storage -- 4.1 Nodes -- 4.2 Messages Exchange Scheme -- 4.3 Systematic-Reed-Solomon for Black-Box Data Storage -- 5 Simulation Results -- 5.1 Simulation Setup -- 5.2 Data Reception Reliability -- 5.3 Storage Capacity -- 5.4 Energy Consumption -- 6 Conclusion -- References. 8 Data Management Architectures for the Improvement of the Availability and Maintainability of a Fleet of Complex Transportation Systems: A State-of-the-Art Review -- Abstract -- 1 Introduction -- 2 The Pure Centralized Approach -- 2.1 Definition -- 2.2 Contributions -- 2.3 Synthesis from a Train Transportation Industrialist Point of View -- 3 The Mixed Centralized/Flat Hierarchical Approach -- 3.1 Definition -- 3.2 Contributions -- 3.3 Synthesis from a Train Transportation Industrialist Point of View -- 4 The Semi-heterarchical Approach -- 4.1 Definition -- 4.2 Contributions -- 4.3 Synthesis from a Train Transportation Industrialist Point of View -- 5 Challenges for the Near Future -- 6 Conclusion and Future Works -- Acknowledgements -- References -- 9 Foundation of the Surfer Data Management Architecture and Its Application to Train Transportation -- Abstract -- 1 Introduction -- 2 Foundations of the Surfer Architecture -- 2.1 Fields of Valid Application -- 2.2 The "Surfer Way" -- 2.2.1 Holonic Architecture -- 2.2.2 Surfer Holons -- 2.2.3 Integration -- 2.2.4 Data Structure, Treatment and Communication -- 2.2.5 Deployment by Experts -- 3 Experimentation in Train Transportation: The TrainSurfer Architecture -- 4 Synthesis and Lesson Learnt -- 5 Conclusion and Future Works -- Acknowledgements -- References -- 10 Situation Awareness in Product Lifecycle Information Systems -- Abstract -- 1 Impacts of IoT on Data Management in Industrial Systems -- 2 The Situation Awareness in PLIM Systems -- 3 The Necessary Integration of Situation Awareness into PLIM Systems -- 4 Remaining Technical and Scientific Challenges -- 5 Conclusions -- References -- Cyber-Physical Production Systems -- 11 Proportional Reliability of Agent-Oriented Software Engineering for the Application of Cyber Physical Production Systems -- Abstract -- 1 Introduction. 2 Evolution of Software Architectures for Manufacturing Systems -- 3 Industry 4.0 and Cyber Physical Systems for Manufacturing -- 3.1 Cyber Physical Production Systems, Roots, Applications and Basic Model -- 3.2 General Design Methodology for Cyber-Physical Systems -- 3.3 Agent-Oriented Software Engineering Methodologies for CPPS -- 4 Requirements Terms for Agent-Oriented Methodologies for CPPS -- 4.1 Requirement 1: Proportions of CPPS Minimal Conditions -- 4.2 Requirement 2: Proportions of Intelligent Characteristics Attributes -- 4.3 Requirement 3: Proportions of Formalized Modeling Terms -- 4.4 Requirement 4: Proportions of Systems and Human Integration -- 4.5 Further Discussion of Requirements Proportions of AOSE for CPPS -- 5 Conclusion and Research Roadmap -- References -- Empowering a Cyber-Physical System for a Modular Conveyor System with Self-organization -- 1 Introduction -- 2 Self-organization in Cyber-Physical Systems -- 2.1 Overview of the Cyber-Physical System Concept -- 2.2 Self-organization as the CPS Aggregation Factor -- 3 Modular Cyber-Physical Conveyor System -- 4 Engineering the Modular and Self-organized Conveyor System -- 4.1 Designing the Agents -- 4.2 Cold Start of the System -- 4.3 Deployment of Agents in Raspberry Pi -- 5 Mechanisms for Plugability and Self-organization -- 5.1 Plug-In and Plug-Out of Individual Conveyors -- 5.2 Change the Order Sequence of Conveyors -- 6 Conclusions -- References -- 13 Approaching Industrial Symbiosis Through Agent-Based Modeling and System Dynamics -- Abstract -- 1 Introduction -- 1.1 Agent-Based Models and Sustainability -- 1.2 System Dynamics and Sustainability -- 1.3 Hybrid Approach and Sustainability -- 2 Methodological Approach -- 2.1 Introduction -- 2.2 Case Description -- 2.3 Model Development: SD + ABM -- 3 Results and Discussion. 3.1 Which are the Individual Behavioural Aspects that May Favour Industrial Symbiosis? -- 3.2 Which are the Overall Benefits Associated with the Entire Industrial Network? -- 4 Conclusions and Future Developments -- Appendix -- References -- 14 How to Build a "Cooperative" Safety Bubble for a Reconfigurable Assembly System? -- Abstract -- 1 Introduction -- 2 Motivations -- 3 Towards a "Cooperative" Safety Bubble -- 3.1 Methodology to Address the Safety Problems -- 3.2 The Concept of "Cooperative" Safety Bubble -- 4 Issues to Create a "Cooperative" Safety Bubble -- 5 Conclusion -- References -- Cloud- and Cyber-Physical Systems for Smart and Sustainable Manufacturing -- 15 Design of High Availability Manufacturing Resource Agents Using JADE Framework and Cloud Replication -- Abstract -- 1 Introduction -- 2 Fault Tolerant Structure of the Resource Agent -- 2.1 Standard Architecture -- 2.2 Fault-Tolerance Approaches -- 2.3 JADE Approach -- 2.4 Problem Formulation -- 2.5 Fault-Tolerant Architecture -- 3 Alternative Solution to Provide High Availability -- 4 Case Study. Experimental Results -- 5 Conclusions and Future Work -- Acknowledgements -- References -- Reconsidering the Relationship Between Cloud Computing and Cloud Manufacturing -- 1 Introduction -- 2 Related Work -- 3 Computing and Manufacturing -- 4 Cloud Computing and Cloud Manufacturing -- 4.1 Cloud Computing -- 4.2 Cloud Manufacturing -- 5 Cloud Anything -- 5.1 Abstraction of Resources in Low-Level Cloud Models -- 5.2 Advances in Geo-Distributed Clouds -- 6 Conclusion -- References -- 17 On Increasing Adaptability of Holonic Systems -- Abstract -- 1 Introduction -- 2 The Coordination Mechanism -- 3 A Brief Description of the CPN Model -- 4 A Scheduling Case Study -- 5 Conclusion and Future Work -- Appendix 1 -- References. 18 Software-Defined Networking-Based Models for Secure Interoperability of Manufacturing Operations. EBL202103 XX SzGeCERN BOOK Trentesaux, Damien Thomas, André Cardin, Olivier https://cds.cern.ch/auth.py?r=EBLIB_P_6296728 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757193 BOOK MIGRATED 2757189 SzGeCERN 20210421184121.0 9783319457192 electronic version electronic version 9783319457185 print version oai:cds.cern.ch:2757189 cerncds:BOOK EBL 6296721 eng QA76.76.A65 .M667 2016 005.7 Monrose, Fabian Research in attacks, intrusions, and defenses 19th international symposium, RAID 2016, Paris, France, September 19-21, 2016, proceedings Cham Springer International Publishing AG 2016 487 p ebook Lecture notes in computer science 9854 Intro -- Foreword -- Organization -- Contents -- Systems Security -- GRIM: Leveraging GPUs for Kernel Integrity Monitoring -- 1 Introduction -- 2 Background -- 2.1 GPUs and CPUs -- 2.2 The GPU Memory Hierarchy -- 2.3 GPUs for Kernel Integrity Monitoring -- 2.4 The GPU Execution Model -- 2.5 Threat Model -- 3 Design -- 4 Implementation -- 4.1 Mapping Kernel Memory to GPU -- 4.2 Kernel Integrity Monitoring on the GPU -- 4.3 Real-Time Notification -- 4.4 Data-Parallel Execution -- 5 Evaluation -- 5.1 Self-hiding LKM -- 5.2 Address Space Coverage -- 5.3 Impact on Memory Bandwidth -- 5.4 Using a Low-End GPU -- 5.5 Checksums and Message Digests -- 6 Related Work -- 7 Conclusion -- References -- Taming Transactions: Towards Hardware-Assisted Control Flow Integrity Using Transactional Memory -- 1 Introduction -- 2 Control Flow Integrity -- 3 Transactional Memory -- 3.1 Transactional Synchronization Extensions -- 3.2 Hardware Lock Elision -- 3.3 Restricted Transactional Memory -- 3.4 TSX Minutia -- 3.5 Suitability for Software Security -- 3.6 TSX Application for Control Flow Integrity -- 4 Achieving CFI with TSX -- 4.1 Transaction Protection -- 4.2 RTM and Loose CFI -- 4.3 HLE and Strict CFI -- 5 Implementation -- 5.1 Integration Approach -- 5.2 Implementation Details -- 5.3 Limitations -- 6 Evaluation -- 6.1 Experiments -- 6.2 Performance Overhead -- 6.3 Transaction Aborts -- 6.4 Space Overhead -- 7 Discussion -- 7.1 TSX Performance -- 7.2 Protection Strength -- 7.3 Comparison with Other Techniques -- 7.4 Additional Capabilities - Future Work -- 8 Conclusion -- References -- Automatic Uncovering of Tap Points from Kernel Executions -- 1 Introduction -- 2 System Overview -- 3 Design and Implementation -- 3.1 Kernel Object Tracking -- 3.2 Object Access Resolution -- 3.3 Tap Points Uncovering -- 4 Evaluation -- 5 Security Application. 6 Limitations and Future Work -- 7 Related Work -- 8 Conclusion -- References -- Detecting Stack Layout Corruptions with Robust Stack Unwinding -- 1 Introduction -- 2 Background -- 2.1 Return Oriented Programming -- 2.2 Stack Frame Information in Binaries for Exception Handling -- 3 Overview of SLIck -- 4 Derivation of Stack Layout Invariants -- 4.1 Stack Frame Chain Invariant (FCI) -- 4.2 Stack Frame Local Storage Invariant (FSI) -- 5 Runtime Inspection of Stack Invariants -- 5.1 Practical Challenges -- 5.2 Stack Invariant Inspection Algorithm -- 5.3 Stack Inspection Policies -- 6 Evaluation -- 6.1 Detection of ROP Attacks -- 6.2 Impact on Benign Programs -- 6.3 Performance Analysis -- 7 Discussion -- 8 Related Work -- 9 Conclusion -- References -- Low-Level Attacks and Defenses -- APDU-Level Attacks in PKCS#11 Devices -- 1 Introduction -- 2 Background -- 2.1 The PKCS#11 Layer -- 2.2 The APDU Layer -- 3 Threat Model -- 3.1 Administrator Privileges -- 3.2 User Privileges -- 3.3 Physical Access -- 3.4 Summary of the Threat Model -- 4 APDU-Level Attacks on Real Devices -- 4.1 Authentication -- 4.2 Sensitive Symmetric Keys -- 4.3 Bypassing Attribute Values -- 4.4 RSA Session Keys -- 5 Security Analysis -- 5.1 Fixes and Mitigations -- 6 Conclusion -- References -- CloudRadar: A Real-Time Side-Channel Attack Detection System in Clouds -- 1 Introduction -- 2 Background and Related Work -- 2.1 Cache Side-Channel Attacks -- 2.2 Defenses Against Side-Channel Attacks -- 2.3 Intrusion Detection Using Hardware Performance Counters -- 3 Design Challenges and Overview -- 3.1 Design Challenges -- 3.2 Design Overview -- 4 Signature Detection of Cryptographic Applications -- 4.1 Cryptographic Signature Generation -- 4.2 Cryptographic Application Detection -- 5 Anomaly Detection of Side-Channel Activities -- 6 Implementation -- 6.1 System Architecture Overview. 6.2 Operations -- 7 Evaluation -- 7.1 Detection Accuracy -- 7.2 Performance -- 8 Discussions -- 8.1 Detecting Other Side Channels -- 8.2 Potential Evasive Attacks -- 8.3 Limitations -- 9 Conclusions -- References -- Measurement Studies -- The Abuse Sharing Economy: Understanding the Limits of Threat Exchanges -- 1 Introduction -- 2 Threat Exchanges: Design and Challenges -- 2.1 Existing Threat Exchanges -- 2.2 Challenges -- 3 Building a Threat Exchange -- 3.1 Collating Abuse Reports -- 3.2 Abusive Traffic Dataset -- 3.3 Inbound HTTP Requests Dataset -- 3.4 Limitations -- 4 Comparing Abuse Perspectives -- 4.1 Scale of Abusive Networks -- 4.2 Network Locality and Specialization -- 5 Characterizing Abusive IP Addresses -- 5.1 Stability of IP-Device Pairs -- 5.2 Diverse Device Traffic -- 5.3 Reputation Across IP Re-assignment -- 5.4 Subnet Abuse Affinity -- 6 Cross-Vertical Abuse -- 6.1 Overlapping Abuse Verticals -- 6.2 Limitations of Intelligence Sharing -- 7 Related Work -- 7.1 Characterizing IP Addresses -- 7.2 Blacklist Efficacy -- 8 Summary -- References -- SandPrint: Fingerprinting Malware Sandboxes to Provide Intelligence for Sandbox Evasion -- 1 Introduction -- 2 Background -- 3 Sandbox Fingerprinting -- 3.1 Sandbox Fingerprinting Features -- 3.2 Extracting Sandbox Fingerprints with SandPrint -- 4 Clustering Sandboxes -- 4.1 Clustering -- 4.2 Clustering Results and Validation -- 4.3 Sandbox vs. Service -- 4.4 Mapping Malware Analysis Services to Sandboxes -- 4.5 Empirical Sandbox Analysis -- 5 Sandbox Classification -- 5.1 Feature Selection -- 5.2 Classification -- 5.3 Comparison to Existing Solutions -- 5.4 Summary -- 6 Malware Appliance Detection -- 7 Discussion and Limitations -- 7.1 Ethical Considerations -- 7.2 Responsible Disclosure -- 7.3 Isolated Sandboxes -- 8 Related Work -- 9 Conclusion -- References. Enabling Network Security Through Active DNS Datasets -- 1 Introduction -- 2 Active DNS Data Collection -- 2.1 Infrastructure -- 2.2 Domain Seed -- 2.3 Measurements -- 3 Comparing Active and Passive DNS Datasets -- 3.1 Datasets -- 4 Case Studies -- 4.1 Enhancing Public Blacklists -- 4.2 Enhancing the Detection of Domain's Residual Trust Change -- 4.3 Tracking Malicious Domain Names in Non-routable IP Space -- 5 Related Work -- 6 Conclusion -- References -- Malware Analysis -- A Formal Framework for Environmentally Sensitive Malware -- 1 Introduction -- 1.1 Results -- 1.2 Related Work -- 2 Preliminaries -- 2.1 Notation -- 2.2 Properties of Turing Machines -- 2.3 Definitions -- 3 System-Interaction Model -- 3.1 Definitions -- 3.2 Adversaries -- 3.3 Semantic Obfuscation -- 4 Sensors -- 4.1 Learnable Sensor -- 4.2 Random Oracle Sensor -- 4.3 Piecewise Learnable Sensor -- 5 Existing Sensors -- 5.1 Static Sensor -- 5.2 Dynamic Sensor -- 5.3 Static and Dynamic Sensors -- 6 Conclusion -- References -- AVclass: A Tool for Massive Malware Labeling -- 1 Introduction -- 2 Related Work -- 3 Approach -- 3.1 Labeling -- 3.2 Generic Token Detection -- 3.3 Alias Detection -- 4 Evaluation -- 4.1 Datasets -- 4.2 Metrics -- 4.3 Generic Token Detection -- 4.4 Alias Detection -- 4.5 Evaluation on Labeled Datasets -- 4.6 Evaluation on Unlabeled Datasets -- 5 Discussion -- 6 Conclusion -- A Additional Results -- References -- Semantics-Preserving Dissection of JavaScript Exploits via Dynamic JS-Binary Analysis -- 1 Introduction -- 2 Background and Overview -- 2.1 Components of JavaScript Attack -- 2.2 Problem Statement -- 2.3 JScalpel-- Overview -- 3 Multi-level Tracing and Slicing-Source Identification -- 3.1 Context-Aware Multi-level Tracing -- 3.2 Identifying Slicing Sources -- 4 Multi-level Slicing -- 4.1 Binary-Level Slicing -- 4.2 JavaScript Slicing. 4.3 Minimized Exploit Script and PoV Generation -- 5 Evaluation -- 5.1 Minimizing Exploits -- 5.2 PoV Generation -- 5.3 Effects of Filtering -- 5.4 Case Study -- CVE-2011-1255 -- 6 Discussion -- 7 Related Work -- 8 Conclusion -- References -- Network Security -- The Messenger Shoots Back: Network Operator Based IMSI Catcher Detection -- 1 Introduction -- 2 Background -- 2.1 Working Principles of a Mobile Phone Network -- 3 Capabilities of IMSI Catchers -- 3.1 Access Technology -- 3.2 Catching Capability -- 3.3 Cryptographic Capabilities -- 3.4 Access Technology Downgrade Capability -- 4 Design and Data Sources -- 5 Tracking IMSI Catcher -- 5.1 Detecting Phones When Reattaching to the Original Network -- 6 Capturing IMSI Catcher -- 6.1 Detection of Cipher Downgrades -- 6.2 Detection of Relayed Traffic -- 6.3 Detection of Unknown, Unusual or Implausible Origin-LAI/TAI in Location Update Requests -- 6.4 Detection of a Access Technology Downgrade -- 7 Discussion -- 7.1 Ethical Considerations -- 7.2 Comparison with Client Detection Methods -- 7.3 Limitations -- 7.4 Future Work -- 8 Related Work -- 8.1 IMSI Catcher Detection -- 8.2 Working Principle of IMSI Catchers -- 8.3 Related Attacks on Cellular Devices -- 9 Conclusion -- References -- On the Feasibility of TTL-Based Filtering for DRDoS Mitigation -- 1 Introduction -- 2 Background -- 2.1 Relevant Internet Technologies -- 2.2 Source Spoofing and DRDoS -- 2.3 Hop Count Filtering -- 3 Re-evaluating the Feasibility of Hop-Count Filtering -- 3.1 Protocol-Based Probing -- 3.2 Interpreting Responses -- 3.3 Horizontal Probing -- 3.4 Caveats of Active Probing -- 4 Probing Analysis -- 4.1 Benign Traffic -- 4.2 Spoofed Traffic -- 4.3 Implications -- 5 Methodology for Estimating Hop Count Value -- 5.1 Key Idea and Attacker Model -- 5.2 Methodology -- 6 Experimental Setup and Results -- 6.1 Data Set. 6.2 Leave-one-out Evaluation. EBL202103 XX SzGeCERN EBL Information Systems BOOK Dacier, Marc Blanc, Gregory Garcia-Alfaro, Joaquin https://cds.cern.ch/auth.py?r=EBLIB_P_6296721 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757189 BOOK MIGRATED 2757184 SzGeCERN 20210421184122.0 9783642257759 electronic version electronic version 9783642257742 print version oai:cds.cern.ch:2757184 cerncds:BOOK EBL 6296711 eng QA76.76.A65 .E876 2011 004 Esposito, Anna Analysis of verbal and nonverbal communication and enactment the processing issues COST 2102 international conference, Budapest, Hungary, September 7-10, 2010, revised selected papers Berlin Springer 2011 483 p ebook Lecture notes in computer science 6800 Intro -- Title -- Preface -- Organization -- Table of Contents -- Multimodal Signals: Analysis, Processing and Computational Issues -- Real Time Person Tracking and Behavior Interpretation in Multi Camera Scenarios Applying Homography and Coupled HMMs -- Introduction -- Object Localization Using Homography -- Planar Homographies -- 3D Reconstruction of the Scene -- Computational Optimization of the 3D Representation -- Behavior Interpretation -- Feature Extraction -- Low Level Activity Detection -- Scenario Recognition -- Conclusion and Outlook -- References -- Animated Faces for Robotic Heads: Gaze and Beyond -- Introduction -- Projected Animated Faces on 3D Head Models -- Robotic Heads with Animated Faces -- Gaze Perception and the Mona Lisa Gaze Effect -- Setup -- Method -- Analysis and Results -- Estimating the Gaze Function -- Spatial Faithfulness of Gaze and Situated Interaction -- Applications and Discussions -- Conclusions -- References -- RANSAC-Based Training Data Selection on Spectral Features for Emotion Recognition from Spontaneous Speech -- Introduction -- Previous Work -- Contribution and Outline of the Paper -- Background -- The Spontaneous Speech Corpus -- The RANSAC Algorithm -- RANSAC-Based Data Cleaning Method -- Extraction of the Speech Features -- Emotion Classification Using Hidden Markov Models -- RANSAC-Based Training of HMM Classifiers -- Decision Fusion for Classification of Emotions -- Experimental Results -- Conclusions and Future Work -- References -- Establishing Linguistic Conventions in Task-Oriented Primeval Dialogue -- Introduction -- Modelling Approach -- Experiment Design -- Results and Discussion -- Conclusions and Future Work -- References -- Switching Between Different Ways to Think -- Introduction -- Background -- Adopted Emotion Categorization Model. Building the Affective Common Sense Knowledge Base -- Switching Between Different Graph Seeds -- Switching Between Different Dimensionalities -- Switching Between Different Centroids -- Switching Between Different Space Configurations -- Discussion -- Conclusion and Future Directions -- References -- Efficient SNR Driven SPLICE Implementation for Robust Speech Recognition -- Introduction -- SPLICE Algorithm Overview -- Environmental Model Selection -- SNR Driven SPLICE Approach -- SNR Estimation -- Model Selection -- Computer Simulations -- SPLICE Setup -- Comparison between Frequency and Mel Domain SNR Estimation -- Results -- SPLICE and Histogram Equalization -- Comparison with Different Approaches -- Conclusions -- References -- Study on Cross-Lingual Adaptation of a Czech LVCSR System towards Slovak -- Introduction -- Comparison of Czech and Slovak -- Difference and Similarity in Lexicons -- Difference and Similarity in Phonetics -- Proposed Cross-Lingual Adaptation Approach -- Speaker Independent Acoustic Modeling -- Speaker Dependent Acoustic Modeling -- Experimental Evaluation -- Text and Language Resources -- Evaluation of the First Adaptation Phase -- Evaluation of the Second Adaptation Phase -- Conclusion -- References -- Audio-Visual Isolated Words Recognition for Voice Dialogue System -- Introduction -- Features Extraction and Audio-Visual Speech Recognition -- Noisy Condition Simulation -- Experiments -- Conclusion -- References -- Semantic Web Techniques Application for Video Fragment Annotation and Management -- Introduction -- Semantic Web -- Annotation Systems -- Video Annotation Tools -- SemLib Annotation Tool -- Requirements Discussion -- Technical Solutions and Implementation Guidelines -- SemTube: Semantic YouTube Video Annotation Prototype -- Conclusions -- References. Imitation of Target Speakers by Different Types of Impersonators -- Introduction -- Experimental Procedure -- Results -- Conclusions -- References -- Multimodal Interface Model for SociallyDependent People -- Introduction -- Multimodal Interface Model for Socially Dependent People -- The Experimental Evaluation -- Conclusions -- References -- Score Fusion in Text-Dependent Speaker Recognition Systems -- Introduction -- Low-Cost Text-Dependent Speaker Recognition -- Voice Imprint -- Classifiers -- Template Matching Methods -- Biometric Dispersion Matcher -- Experimental Results -- Settings of Classifiers and Features -- Score Fusion -- System Evaluation -- Conclusion -- References -- Developing Multimodal Web Interfaces by Encapsulating Their Content and Functionality within a Multimodal Shell -- Introduction -- Multimodal Web-Based Interfaces - Related Works -- Multimodal Web Application - General Concept -- Multimodal Shell -- BQ-Portal Web Application -- Multimodal Services - ECA Enhanced Web Services -- Visualized RSS Feeds -- Visualized Translations -- Conclusion -- References -- Multimodal Embodied Mimicry in Interaction -- Introduction -- Types of Mimicry -- Facial Expression Mimicry -- Vocal Mimicry -- Postural Mimicry -- Emotional Mimicry -- Mimicry as a Nonconscious Tool to Enhance Communication -- Measuring of Mimicry -- Collecting Data and Annotation -- Conclusion -- References -- Using TTS for Fast Prototyping of Cross-Lingual ASR Applications -- Introduction -- ASR Systems Developed for Czech Language -- Case Study: Adapting ASR System to Polish Language -- Czech vs. Polish Phonology -- How to Map Polish Phonemes to Czech Phoneme Inventory? -- Phonetic Mapping Based on TTS Output Analyzed by ASR System -- Evaluation on Small Vocabulary Task -- Evaluation on Fluent Speech Dictation with Large Lexicon -- Discussion and Conclusions. References -- Towards the Automatic Detection of Involvement in Conversation -- Introduction -- Main Objectives and Hypotheses -- Experiment -- Data Collection: The D64 Corpus -- Data Selection -- Data Annotation -- Measurements and Statistical Analyses -- Results -- Level and Span of the voice. -- Articulation Rate. -- Intensity. -- Movement. -- Discussion -- Conclusion -- References -- Extracting Sentence Elements for the Natural Language Understanding Based on Slovak National Corpus -- Introduction -- Sentence Elements Extraction -- The Morphological Analyzer -- Disambiguation -- The Syntactic Analyzer (Parser) -- Evaluation Experiments -- Conclusions -- References -- Detection of Similar Advertisements in Media Databases -- Introduction -- System Description -- Extraction of Local Features -- Visual Vocabulary -- Clustering of Images -- Results -- Conclusion -- References -- Towards ECA's Animation of Expressive Complex Behaviour -- Introduction -- Expressivity -- EVA's Temporal, Spatial, and Power Components -- EVA's Fluidity Component -- Results: Synthesizing Expressive Behaviour -- Synthesis of Unconscious Behaviour -- Conclusion -- References -- Recognition of Multiple Language Voice Navigation Queries in Traffic Situations -- Introduction -- Tasks and Related Works -- Databases -- Speech Recognition Models -- Language Models -- Pronunciation Model -- Context Dependency Model -- Acoustic Models -- Off-Line Recognition Network Construction -- Models for Multiple Languages -- Feature Extraction -- Evaluation -- Results and Discussion -- CFG vs. PCFG 3-Gram -- Grapheme-Based Models vs. Phoneme-Based Models -- Comparison of Feature Extraction Methods -- Conclusions -- References -- Comparison of Segmentation and Clustering Methods for Speaker Diarization of Broadcast Stream Audio -- Introduction -- Speaker Diarization System. Speaker Segmentation -- Speaker Segmentation - Choice of Analyzed Window -- Speaker Segmentation - Threshold Estimation Strategies -- Clustering -- Clustering - BIC Based -- Clustering - Parameter-Derived Distance between Adapted GMMs -- Experiments and Results -- Evaluation data -- Evaluation Metrics -- Results -- Conclusions -- References -- Influence of Speakers' Emotional States on Voice Recognition Scores -- Introduction -- Database -- Voice Recognition Procedure -- Experimental Results -- Conclusions -- References -- Automatic Classification of Emotions in Spontaneous Speech -- Introduction -- Speech Detection -- Noisy Telephone Speech Database for Speech Detection -- Speech Detection Process -- Results -- Emotion Recognition -- Database of Emotions -- Emotion Recognition Process -- Results -- A Quasi-real Time Emotion Recognition Process in Spontaneous Speech -- Conclusion -- References -- Modification of the Glottal Voice Characteristics Based on Changing the Maximum-Phase Speech Component -- Introduction -- Complex Cepstrum Deconvolution of Speech -- Methods of Complex Cepstrum Calculation -- Complex Cepstrum Speech Deconvolution -- Problematic Frames in Complex Cepstral Deconvolution -- Design of 2nd order Anticausal IIR Model of the Glottal Signal -- Speech Deconvolution with the 2nd Order Anticausal Model of the Glottal Signal -- Glottal Signal Modification -- Conclusion -- References -- Verbal and Nonverbal Social Signals -- On Speech and Gestures Synchrony -- Introduction -- Getting the Focus on Speech Pauses and Holds -- The Role of Pausing Strategies in Dialogue Organization -- The Role of Gestural Holds in Shaping the Interaction -- Material -- Some Working Definitions -- Results -- Discussion -- Conclusions -- References -- Study of the Phenomenon of Phonetic Convergence Thanks to Speech Dominoes -- Introduction. State of the Art. EBL202103 Computing and Computers SzGeCERN EBL Computational linguistics EBL Artificial intelligence BOOK Vinciarelli, Alessandro Vicsi, Klara Pelachaud, Catherine Nijholt, Anton https://cds.cern.ch/auth.py?r=EBLIB_P_6296711 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2757184 BOOK MIGRATED 2757169 SzGeCERN 20210421184122.0 9789811323966 electronic version electronic version 9789811323959 print version oai:cds.cern.ch:2757169 cerncds:BOOK EBL 6296626 eng QA75.5-76.95 005.1 Wang, Shilong Recent advances in intelligent manufacturing first international conference on intelligent manufacturing and internet of things and 5th international conference on computing for sustainable energy and environment, IMIOT and ICSEE 2018, Chongqing, China, September 21-23, 2018, proceedings, part I Singapore Springer Singapore Pte Limited 2018 604 p ebook Communications in computer and information science 923 Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Contents - Part III -- Digital Manufacturing -- Defining Production and Financial Data Streams Required for a Factory Digital Twin to Optimise the Deployment of Labour -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Case Study and Methodology -- 4 Results -- 5 Discussion and Conclusions -- References -- Data Driven Die Casting Smart Factory Solution -- Abstract -- 1 Introduction -- 2 Data Driven Smart Factory -- 2.1 Data Driven Smart Factory Operation System -- 2.2 Data Driven Smart Factory Organization Structure -- 3 Die Casting Smart Factory Solution -- 3.1 Solution of Physical Layer in Die Casting Smart Factory -- 3.2 Solution of Information Layer in Die Casting Smart Factory -- 3.3 Solution of Decision Layer in Die Casting Smart Factory -- 4 Conclusion -- References -- The Parametric Casting Process Modeling Method Based on the Topological Entities Naming -- Abstract -- 1 Introduction -- 2 State of the Art -- 3 Topological Entities Naming for Casting Process Planning -- 3.1 The Naming Rule for ID -- 3.2 The Naming Rule for Geometry_Name -- 3.3 The Naming Rule for Process_Name -- 3.4 Mapping Strategy Between Topological Entity Name and Process Information -- 4 Geometry Modeling Method of Casting Process -- 4.1 Process Parameter Setting of Gating and Riser System -- 4.2 Parametric Modeling of Gating and Riser System -- 4.2.1 Modeling of Gating System -- 4.2.2 Modeling of Riser System -- 4.3 3D Process Dimension Design of Gating and Riser System -- 5 Reconstruction of Parametric Casting Model -- 6 Prototype System Development -- 7 Conclusions -- Acknowledgment -- References -- Accuracy Analysis of Incrementally Formed Tunnel Shaped Parts -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Experimental Setup. 2.2 Toolpath Generation for Tunnel Shaped Parts -- 2.3 Feature Detection on STL Files -- 2.4 Accuracy Predictions Using Multivariate Adaptive Regression Splines -- 3 Results -- 3.1 Accuracy Analysis -- 3.2 Feature Detection Results -- 3.3 Error Correction (Accuracy Prediction) Equation -- 3.4 Part Compensation -- 4 Discussion -- 5 Conclusions -- References -- Dynamic Model for Service Composition and Optimal Selection in Cloud Manufacturing Environment -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Pedigree Model Framework -- 3.1 Service Model in Pedigree -- 3.2 Construction Mechanism -- 3.3 Searching and Matching Mechanism -- 4 Application -- 4.1 Construction Example -- 4.2 Searching and Matching Example -- 5 Conclusion -- Acknowledgement -- References -- Industrial Product Design -- Quality Characteristic Decoupling Method Based on Meta-Action Unit for CNC Machine Tool -- Abstract -- 1 Introduction -- 2 Coupling Constraint Models Based on MU -- 3 Quality Characteristic Decoupling Method Based on MU -- 3.1 Decoupling Models Using DSM and DMM -- 3.2 Decoupling Planning Flow Chart Based on MU -- 4 Case Study -- 5 Conclusion -- Acknowledgments -- References -- A CAD Based Framework for Optimizing Performance While Ensuring Assembly Fit -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Adjoint Methods -- 2.2 Design Velocity -- 2.3 Gradient Computation -- 3 Interference Detection -- 4 Optimization Framework -- 5 Results -- 5.1 Cantilever Beam Optimization -- 5.2 S-Bend Optimization -- 6 Discussion -- 7 Conclusion -- Acknowledgments -- References -- Design and Optimization Aspects of a Novel Reaction Sphere Actuator -- Abstract -- 1 Introduction -- 2 Structural Design -- 3 Torque Optimization -- 3.1 Driving Torque Analysis -- 3.2 Torque Modeling Based on Support Vector Machines -- 3.3 Design Optimization -- 4 Conclusion -- Acknowledgement. References -- Logistics, Production and Operation Management -- Analysis of International Logistics Top Talent Training Based on "One Belt One Road"-Taking the Western China as an Example -- Abstract -- 1 Background of International Logistics Development in the Western China -- 2 Demand Analysis of International Logistics Top Talents in the West -- 2.1 Quality Requirements -- 2.2 Quantity Demand -- 3 Top Talents Training System in International Logistics -- 3.1 Formation of Inner Triple Helix -- 3.2 Support of Outer Triple Helix -- 4 Summary -- Acknowledgement -- References -- Simulating the Impact of Fuel Prices on Transportation Performance in Aerospace Supply Chains -- Abstract -- 1 Introduction -- 1.1 Supply Chain Transportation Modeling -- 2 Methodology -- 2.1 Methodology Overview -- 2.2 Supply Chain Simulation Model -- 2.3 Transportation Cost Modeling -- 2.4 Inventory Cost Modeling -- 3 Results -- 3.1 Tier 1 Supplier's Transportation and Inventory Holding Cost -- 3.2 Design of Experiment -- 3.3 Tier 1 Supplier Costs -- 3.4 Tier 2 Supplier Costs -- 4 Discussion and Conclusions -- References -- Research on the Process Layout Evaluation of Rail Vehicle Assembly Workshop in the Lean Intelligent Manufacturing Environment -- Abstract -- 1 Introduction -- 2 The Process Layout Evaluation Indicators of Rail Vehicle Assembly Workshop -- 2.1 The Analysis of Process Layout Characteristics of Rail Vehicle Assembly Workshop -- 2.2 The Process Layout Evaluation Indicators -- 3 The Weight Calculation Method of Process Layout Evaluation Indicators -- 3.1 Using Group AHP to Calculate First and Second-Level Indicator Weights -- 3.2 Using Group AHP and Entropy Weight Method to Calculate Three-Level Indicator Weights -- 4 Workshop Process Layout Evaluation Based on Grey Relational Analysis -- 5 The Evaluation Case -- 6 Conclusion -- Acknowledgments -- References. Network Sharing Based Two-Tier Vehicle Routing Optimization of Urban Joint Distribution Under Online Shopping -- Abstract -- 1 Introduction -- 2 Problem Formulation -- 2.1 Problem Description -- 2.2 Notations -- 3 Hybrid Heuristic Algorithm for Two-Tier Vehicle Routing Problem -- 3.1 Initial Route Generation -- 3.2 Searching the Optimal Solution with Genetic Operations -- 4 Case Study -- 4.1 Data Collection -- 4.2 Solution Presentation -- 4.3 Comparative Analysis -- 5 Conclusion -- Acknowledgement -- References -- The Research of Tripartite Game Between Managers and Executors in Logistics Security Under the Influence of Government -- 1 Introduction -- 2 Literature Review -- 2.1 Connotation of Logistics Security -- 2.2 Research Status of Logistics Security -- 3 Problem Description and Model Formulation -- 3.1 Problem Description -- 3.2 Model Formulation -- 3.3 The Stable Strategy of Tripartite Game Model -- 3.4 The Evolutionary Stability Points of Tripartite Game -- 4 Numerical Simulation -- 5 Discussion and Conclusion -- 5.1 Discussion -- 5.2 Conclusion -- References -- Quality Improvement Practice Using a VIKOR-DMAIC Approach: Parking Brake Case in a Chinese Domestic Auto-Factory -- Abstract -- 1 Introduction -- 2 Continuous Quality Improvement Practice -- 2.1 Quality Index in Automobile Industry -- 2.2 Continuous Quality Improvement Procedure -- 3 The Integrated VIKOR-DMAIC Approach -- 3.1 Criteria Description of Quality Improvement Pilot Programme Identification -- 3.2 VIKOR-Based the Establishment of QIP Pilot Programme -- 3.3 DMAIC Stages -- 4 Case Study -- 4.1 Quality Improvement Pilot Programme Selection -- 4.2 Six Sigma Implementation -- 5 Conclusion -- Acknowledgement -- References -- Delivery Vehicle Scheduling Modeling and Optimization for Automobile Mixed Milk-Run Mode Involved Indirect Suppliers -- Abstract -- 1 Introduction. 1.1 A Subsection Sample -- 2 Mathematical Model -- 2.1 Decision Variables and Parameters -- 2.2 The Mathematical Model -- 3 Improved Genetic Algorithm Design -- 3.1 Initial Population -- 3.2 Fitness Function -- 3.3 Selection Strategy -- 3.4 Genetic Operations -- 3.5 Hill-Climbing Operation -- 4 Simulation Examples -- 4.1 Traditional Milk-Run Simulation Example -- 4.2 Mixed Milk-Run Simulation Example -- 4.3 Simulation Results Comparison -- 5 Conclusion -- References -- An Optimization Model of Vehicle Routing Problem for Logistics Based on Sustainable Development Theory -- Abstract -- 1 Introduction -- 2 Formulation of the Optimization Model -- 2.1 Problem Hypothesis -- 2.2 Objective Function -- 2.2.1 Social Costs -- 2.2.2 Economic Costs -- 2.2.3 Environmental Costs -- 2.3 Optimization Model -- 3 Algorithm Design -- 4 Experimental Design -- 4.1 Case Description -- 4.2 Parameter Settings -- 4.2.1 Parameter in the Model -- 4.2.2 Parameter in the Algorithm -- 5 Analysis of Case -- 5.1 Changes in Carbon Dioxide Prices and Economic Costs -- 5.2 Changes in Carbon Dioxide Prices and Environmental Costs -- 6 Conclusion and Future -- References -- The Prediction of Perishable Products' Sale Volume and Profit in Chongqing Based on Grey Model -- Abstract -- 1 Introduction -- 2 Analysis on the Present Situation of Dairy Products -- 3 Prediction of Sales Volume and Profits in TY Co., Ltd Based on GM -- 4 Case Study -- 4.1 Model Formulation -- 4.2 Model Test -- 4.3 Outcome of Prediction -- 5 Conclusion -- References -- The Establishment of Cloud Supply Chain System Model and Technology System -- Abstract -- 1 Introduction -- 2 Analysis of Supply Chain Characteristics Under Cloud Manufacturing -- 2.1 Resources -- 2.2 Operating Mode -- 2.3 Participating Members -- 3 Architecture Design -- 3.1 Cloud Supply Chain Business Model Design. 3.2 The Establishment of System Hierarchy Model of Cloud Supply Chain. EBL202103 XX SzGeCERN BOOK Price, Mark Lim, Ming K Jin, Yan Luo, Yuanxin Chen, Rui https://cds.cern.ch/auth.py?r=EBLIB_P_6296626 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757169 BOOK MIGRATED 2757164 SzGeCERN 20210421184123.0 9783319141121 electronic version electronic version 9783319141114 print version oai:cds.cern.ch:2757164 cerncds:BOOK EBL 6296596 eng Q334 .A435 2014 006.3 Aarts, Emile Ambient intelligence European conference, AMI 2014, Eindhoven, The Netherlands, November 11-13, 2014 revised selected papers Cham Springer International Publishing AG 2014 359 p ebook Lecture notes in computer science 8850 Intro -- Preface -- Organization -- Contents -- Analyzing Sounds of Home Environment for Device Recognition -- 1 Introduction -- 2 Related Work -- 2.1 Sensor-Based Environment Monitoring -- 2.2 Sound-Based Activity Recognition -- 2.3 Power-Based Device Recognition -- 3 Sound-Based Device Recognition -- 3.1 Environment -- 3.2 Activity and Device Types -- 3.3 Sound Recording and Buffering -- 3.4 Feature Extraction -- 3.5 Device Classification -- 3.6 Mixing -- 3.7 Sound-Based Device Recognition Framework -- 4 Results -- 5 Conclusion -- References -- SALT: Source-Agnostic Localization Technique Based on Context Data from Binary Sensor Networks -- 1 Introduction -- 2 Related Work -- 3 Source-Agnostic Localization Technique -- 4 Experimental Setup -- 4.1 The Living Lab -- 4.2 Competitors and Technologies -- 5 Performance Evaluation -- 6 Conclusion and Future Work -- References -- Detecting Walking in Synchrony Through Smartphone Accelerometer and Wi-Fi Traces -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collection -- 3.2 Pre-processing -- 3.3 Acceleration Analysis -- 3.4 Wi-Fi Analysis -- 4 Experiments and Results -- 5 Conclusions and Future Work -- References -- SIMDOMO: A Tool for Long-Term Simulations of Ambient-Assisted Living -- 1 Introduction -- 2 Design Goals -- 3 SIMDOMO: Simulation of Domestic Sensorized Environment -- 4 Conclusion and Further Work -- References -- Recognition of Bed Postures Using Mutual Capacitance Sensing -- 1 Introduction -- 2 Related Work -- 2.1 Capacitive Sensing -- 2.2 Bed Posture Recognition -- 3 Prototype -- 3.1 Hardware Components of Smart Bed Sheet -- 3.2 Data Processing -- 4 Implementation -- 4.1 Features of Bed Postures -- 5 Experiment -- 5.1 Setup -- 5.2 Feature Extraction and Classification -- 5.3 Results -- 6 Conclusion and Outlook -- References. SoPresent: An Awareness System for Connecting Remote Households -- 1 Introduction -- 2 Design of SoPresent System -- 3 Implementation -- 3.1 Implementation of Similarity Matching -- 4 Qualitative Evaluation -- 5 Discussion -- 6 Conclusion -- References -- Multi-tenancy Aware Ambient Assisted Living Platforms in the Cloud -- 1 Introduction and Motivation -- 2 State of the Art -- 3 The AAL Platform -- 3.1 Terminology -- 3.2 Functionality -- 3.3 Communication Patterns -- 4 AAL platform in the Cloud -- 4.1 Discussion on SaaS Maturity Model -- 4.2 Considerations for Multi-networks: Defining the Scope of Messages -- 4.3 Selecting a Layer of Connectivity -- 4.4 Communication Between Cloud Services -- 4.5 Definition of a Simple Verification Scenario -- 5 Realization -- 5.1 The universAAL Project -- 5.2 The Execution Platform -- 5.3 Communication Channels -- 5.4 Usage of AAL Space Gateway -- 5.5 Verification of the Simple Scenario -- 5.6 Security Considerations -- 6 Discussion and Conclusions -- References -- Monitoring Patients' Lifestyle with a Smartphone and Other Devices Placed Freely on the Body -- 1 Introduction -- 2 The Proposed Activity-Monitoring Approach -- 3 Experimental Evaluation -- 4 Conclusion -- References -- Tell Me What to Eat - Design and Evaluation of a Mobile Companion Helping Children and Their Parents to Plan Nutrition Intake -- 1 Introduction -- 2 Related Work -- 2.1 Health Applications -- 2.2 Shortcomings of IT Interventions for Childhood Obesity -- 3 Design Process -- 3.1 Research Setting -- 3.2 Concept of the Mobile Health App -- 3.3 Services of the Mobile Health App -- 3.4 Feedback and Recommendation Algorithm -- 3.5 Data Collection -- 4 Evaluation -- 4.1 Design of the Pilot Field Study -- 4.2 Participants of the Study -- 4.3 Results of the Study -- 5 Discussion and Conclusions -- 6 Future Work -- References. The Impact of the Environment on the Experience of Hospitalized Stroke Patients - An Exploratory Study -- 1 Introduction -- 1.1 Healing Environments -- 2 The Study and Method -- 2.1 Methodology -- 2.2 Set-Up of the Study -- 2.3 Participants -- 3 Findings -- 3.1 Dosing Stimulus Load -- 3.2 Having Social Support -- 3.3 Single versus Multi Patient Rooms -- 3.4 Balance Between Clinical and Personal Environment -- 3.5 Providing Structure of the Day -- 3.6 Undisturbed Sleeping -- 3.7 Need for Information -- 4 Conclusion -- References -- An Investigation into Perception-Altering Lighting Concepts for Supporting Game Designers in Setting Certain Atmospheres Within a Videogame Environment -- 1 Introduction -- 2 Methodology -- 2.1 Setting -- 2.2 Process -- 3 Results -- 3.1 Experiment Phase A, Directed Test Results -- 3.2 Experiment Phase B, Blind Test Results -- 3.3 Hypothesis A Analysis -- 3.4 Hypothesis B Analysis -- 4 Discussion -- 5 Conclusion -- References -- Ambient Influence for Promoting Balanced Participation in Group Brainstorming -- 1 Introduction -- 2 Study and Data Analysis -- 2.1 Behavioral Cues Analysis -- 2.2 Questionnaire Results -- 3 Discussion and Conclusion -- References -- Steering Gameplay Behavior in the Interactive Tag Playground -- 1 Introduction -- 2 Steering Behavior in Embodied Games -- 3 The Interactive Tag Playground -- 3.1 Steering Behavior Through Gameplay Elements -- 4 User Study -- 4.1 Participants -- 4.2 Procedure -- 5 Results and Discussion -- 5.1 Group Discussion and Observations -- 5.2 The Effect of Arrows -- 5.3 The Effect of Adaptive Circles -- 5.4 Power-Ups -- 6 Conclusions and Future Work -- References -- Impact of Blinds Usage on Energy Consumption: Automatic Versus Manual Control -- 1 Introduction -- 1.1 Ambient Intelligence in the Office Environment -- 1.2 Daylight and Blinds -- 1.3 Research Questions. 2 Field Study -- 2.1 Methodology -- 2.2 Results -- 3 Energy Simulation -- 3.1 Methodology -- 3.2 Results -- 4 Conclusion -- 4.1 Discussion -- 4.2 Limitations -- 4.3 Conclusions -- References -- Discrete Control for Smart Environments Through a Generic Finite-State-Models-Based Infrastructure -- 1 Introduction -- 2 Smart Homes Control Applications -- 2.1 Characteristics of Home Environments -- 2.2 Examples of Smart Home Control Scenarios -- 2.3 Corpus of Control Rules for Smart Home -- 2.4 Rule Execution Policy: Sequential vs. Parallel -- 2.5 Discrete Control -- 3 Modeling Framework -- 3.1 Generic Models for Home Entities -- 3.2 Generic Categories of Home Entities (Virtual Entities) -- 3.3 Establishing Hierarchical Relationship Between Virtual Entity Models -- 4 Smart Home System Representation -- 4.1 Device Abstraction Layer -- 4.2 Entity Abstraction Layer -- 4.3 Entity Group Layer -- 4.4 Services Layer -- 5 Discrete Control through the Proposed Infrastructure -- 5.1 Control-Oriented Entity Group Models -- 5.2 Formalize Control Objectives -- 6 Simulation -- 7 Conclusion and Perspectives -- References -- Learning and Recognizing Routines and Activities in SOFiA -- 1 Introduction -- 2 Related Work -- 3 A Brief Overview on the WoMan System -- 4 Evaluation of the Approach in SOFiA -- 4.1 Dataset Collection -- 4.2 Incremental Learning of Activities and Routines -- 4.3 Recognition of Activities and Routines -- 5 Conclusions and Future Work -- References -- On-line Context Aware Physical Activity Recognition from the Accelerometer and Audio Sensors of Smartphones -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Activities and Smartphone Context -- 3.2 Architecture -- 3.3 Features -- 3.4 Classification Models -- 4 Experiment -- 4.1 Protocol -- 4.2 Scenarios -- 4.3 Acquired Data -- 5 Results -- 5.1 Basic Human Activity Recognition. 5.2 Context-Aware Human Activity Recognition -- 5.3 Inferring Smart-Phone Context -- 5.4 Inferred Context-Aware Human Activity Recognition -- 6 Discussion -- 7 Conclusion -- References -- Real-Time Event Detection for Energy Data Streams -- 1 Introduction -- 2 Related Work -- 3 Event Dectection -- 4 Experimental Results -- 5 Conclusion -- References -- Developing a Face Monitoring Robot for a Desk Worker -- 1 Introduction -- 2 Autonomous Mobile Robot -- 3 Clustering Faces -- 3.1 Face Tracking Application -- 3.2 BIRCH -- 3.3 NMI -- 4 Experiments -- 4.1 Conditions of the Experiments -- 4.2 Results with AUs only -- 4.3 Incorporation of the Pitch Angle -- 4.4 Analysis and Discussions -- 5 Conclusions -- A Animation Units and Shape Units -- References -- A Benchmarking Model for Sensors in Smart Environments -- 1 Introduction -- 2 Related Works -- 3 Sensor Features -- 3.1 Sensor Performance Characteristics -- 3.2 Pervasive Metrics -- 3.3 Environmental Characteristics -- 3.4 Discussion of Feature Selection -- 3.5 Feature Matrix -- 4 Benchmarking Model -- 4.1 Feature Score and Weighting -- 4.2 Modeling -- 4.3 Feature Score Normalization -- 4.4 Benchmark Scoring -- 5 Evaluation -- 5.1 Scoring -- 5.2 Discussion of Benchmarking Strategy -- 5.3 Discussion of Search Results -- 5.4 Querying Scientific Databases -- 5.5 Central Tendency Bias -- 6 Conclusion and Future Work -- References -- Multi-view Onboard Clustering of Skeleton Data for Fall Risk Discovery -- 1 Introduction -- 2 Target Problem -- 3 Proposed Method -- 3.1 Clustering Method -- 3.2 Multi-view Distance Measure -- 3.3 Positioning Strategy -- 4 Experimental Evaluation -- 4.1 Autonomous Mobile Robots -- 4.2 Experiments and their Results -- 4.3 Analyzing the Experiments -- 5 Conclusions -- References -- WATCHiT: A Modular and Wearable Tool for Data Collection in Crisis Management and Training. 1 Introduction. EBL202103 XX SzGeCERN BOOK de Ruyter, Boris Markopoulos, Panos van Loenen, Evert Wichert, Reiner Schouten, Ben Terken, Jacques Van Kranenburg, Rob Den Ouden, Elke O'Hare, Gregory https://cds.cern.ch/auth.py?r=EBLIB_P_6296596 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2757164 BOOK MIGRATED 2757161 SzGeCERN 20210421184123.0 9783319957869 electronic version electronic version 9783319957852 print version oai:cds.cern.ch:2757161 cerncds:BOOK EBL 6296580 eng QA76.9.D343 .A383 2018 006.3 Perner, Petra Advances in data mining applications and theoretical aspects 18th industrial conference, ICDM 2018, New York, NY, USA, July 11-12, 2018, proceedings Cham Springer International Publishing AG 2018 336 p ebook Lecture notes in computer science 10933 Intro -- Preface -- Organization -- Contents -- An Adaptive Oversampling Technique for Imbalanced Datasets -- 1 Introduction -- 2 An Adaptive Oversampling Technique -- 2.1 Data Cleaning -- 2.2 Locating Sub-clusters -- 2.3 Structure of Sub-clusters -- 2.4 Identifying the Boundary of Sub-clusters -- 2.5 Synthetic Data Generation -- 3 Experiments -- 3.1 Data Sets -- 3.2 Assessment Metrics -- 3.3 Experimental Settings -- 3.4 Results -- 4 Conclusion -- References -- From Measurements to Knowledge - Online Quality Monitoring and Smart Manufacturing -- 1 Introduction -- 2 Developing a Quality Monitoring Tool for Industrial Use -- 2.1 The Domain Requirements and Requests -- 2.2 The Specifications for the Tool -- 3 Statistical Quality Models -- 4 Quality Monitoring in Manufacturing -- 4.1 Case 1: Strip Profile -- 4.2 Case 2: Strip Roughness -- 5 Conclusion and Perspectives -- References -- Mining Sequential Correlation with a New Measure -- 1 Introduction -- 2 Related Work -- 3 Our Proposed Approach -- 3.1 Terminologies -- 3.2 Trie Architecture -- 3.3 Algorithm: SCMine -- 3.4 Pseudocode -- 3.5 Demonstration -- 4 Evaluation Results -- 4.1 Experimental Environment -- 4.2 Performance Analysis -- 4.3 Distribution of Classified Patterns -- 4.4 Runtime Analysis -- 4.5 Memory Analysis -- 5 Conclusion -- References -- A New Approach for Mining Representative Patterns -- 1 Introduction -- 1.1 Motivation -- 1.2 Contributions -- 2 Related Work -- 3 Our Proposed Approach -- 3.1 Preliminaries -- 3.2 Tree Construction and Mining -- 4 Experimental Results -- 4.1 Pattern Count w.r.t. Minimum Window Support -- 4.2 Pattern Count w.r.t. Window Size -- 4.3 Pattern Count w.r.t. Batch Size -- 4.4 Runtime Evaluation -- 4.5 Maximum Memory Usage Evaluation -- 5 Conclusions -- References. An Effective Ensemble Method for Multi-class Classification and Regression for Imbalanced Data -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Method for Multi-class Imbalance Classification -- 3.2 Method for Solving Data Imbalance Problem for Regression -- 3.3 Min Average Recall and Min Average Precision -- 4 Experimental Results -- 4.1 Performance Analysis for Multi-class Imbalance Classification -- 4.2 Performance Analysis for Data Imbalance Regression -- 5 Conclusions -- References -- Automating the Extraction of Essential Genes from Literature -- 1 Introduction -- 2 Algorithms and Implementation -- 2.1 Proposed Algorithm -- 2.2 Manually Curated Corpus for Yeast -- 3 Results -- 3.1 Event Extraction System Evaluation -- 4 Conclusions and Further Work -- References -- Rise, Fall, and Implications of the New York City Medallion Market -- Abstract -- 1 Introduction -- 1.1 NYC Taxicab Market -- 1.2 Medallion System -- 2 Evolution of NYC Medallion Market -- 2.1 Born But No Value (1937-1946) -- 2.2 Formed and Established -- 2.3 Investment Tool and Booming -- 2.4 Collapsed and Falling -- 3 The Uber Disruption -- 4 Economic and Regulation Implications -- 4.1 Breakdown of Market Assumptions -- 4.2 Ride-Sharing Economy -- 4.3 Deregulation Trend -- Acknowledgements -- References -- An Intelligent and Hybrid Weighted Fuzzy Time Series Model Based on Empirical Mode Decomposition for Financial Markets Forecasting -- 1 Introduction -- 2 Preliminaries -- 2.1 Empirical Mode Decomposition -- 2.2 Fuzzy Time Series -- 3 Adaptive Sine-Cosine Human Learning Optimization Algorithm -- 4 The Intelligent and Hybrid Weighted Fuzzy Time Series Model Based on ASCHLO -- 4.1 The Proposed Weighted FTS Model -- 4.2 Fuzzy Forecast Outputs -- 4.3 Algorithm for IHWF Based on ASCHLO -- 5 Real-World Experiments and Results. 5.1 Stock Market Data and Experimental Settings -- 5.2 Results and Analysis -- 6 Conclusion -- References -- Evolutionary DBN for the Customers' Sentiment Classification with Incremental Rules -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Preprocess -- 3.2 Normal Deep Belief Networks -- 3.3 Membership Function of Fuzzy Rule -- 3.4 Evolutionary Fuzzy Deep Belief Networks Algorithm with Incremental Rules -- 4 Results and Discussion -- 4.1 Experimental Setup -- 4.2 Performance Comparison -- 5 Conclusion -- Acknowledgement -- References -- Clustering Professional Baseball Players with SOM and Deciding Team Reinforcement Strategy with AHP -- Abstract -- 1 Introduction -- 2 Clustering Professional Baseball Players with SOM -- 3 Considering Team Reinforcement Strategies -- 4 Decision Making on Team Reinforcement Strategy with AHP -- 5 Conclusion -- References -- Data Mining with Digital Fingerprinting - Challenges, Chances, and Novel Application Domains -- 1 Introduction -- 2 Concept Basics-Thermal Fingerprinting in a Nutshell -- 2.1 Data Processing Framework -- 2.2 Thermal Pattern Calculation -- 2.3 Fingerprints Storage and Discussion -- 3 Reference Scenarios and Test Bench -- 3.1 Setup and Environmental Conditions -- 3.2 Limitations and Constraints -- 4 Results Analysis and Scale-Out -- 5 Research in Progress -- 5.1 Urban Mobility Profiling -- 5.2 Weather Forecast -- 5.3 Body Area Network Profiling -- 6 Conclusion -- References -- Categorization of Patient Diseases for Chinese Electronic Health Record Analysis: A Case Study -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Problem Definition and Data Preparation -- 2.2 NLP for Feature Extraction -- 2.2.1 The Bag of Words (BOW) Method -- 2.2.2 Word2Vec for Word Embeddings -- 2.2.3 Doc2Vec -- 2.3 Unsupervised Machine Learning for Categorizing Diseases. 3 Experimental Results and Analysis -- 4 Conclusion and Future Work -- Acknowledgments -- References -- Dynamic Classifier and Sensor Using Small Memory Buffers -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Model Architecture -- 4 Model Validation -- 4.1 Optimal Situation as a Baseline -- 4.2 The Initial Stage -- 4.3 The "Dynamic-Flow" Stage -- 5 Results and Discussion -- 6 Conclusions -- Acknowledgment -- References -- Speeding Up Continuous kNN Join by Binary Sketches -- 1 Introduction -- 2 Problem Definition -- 3 General Approach -- 4 Related Work -- 5 Binary Sketch Approach -- 5.1 Hamming Distance vs. Metric Distance -- 5.2 Pivot Selection -- 5.3 Sketch Filtering -- 5.4 Cost Analysis -- 6 Self Join -- 7 Experiments -- 7.1 Datasets -- 7.2 Quality Metrics -- 7.3 Setup -- 7.4 Distance Conversion Function -- 7.5 k Effect -- 7.6 Window Size Effect -- 7.7 Query Object Set Size Effect -- 7.8 Comparison to Existing Techniques -- 8 Conclusion -- References -- Mining Cross-Level Closed Sequential Patterns -- 1 Introduction -- 2 Background Study and Related Work -- 2.1 Preliminary Terminologies -- 3 CCSP: Our Proposed Algorithm -- 3.1 Construct Encoded Transaction Database -- 3.2 Frequency Computation of Items -- 3.3 Specific Level Sequential Closed Itemset Lattice Construction -- 3.4 Cross-Level Sequential Closed Itemset Mining -- 3.5 The CCSP Algorithm -- 4 Experimental Results -- 4.1 Number of Cross Level Sequential Patterns -- 4.2 Run Time for Sequential Closed Lattice Construction -- 4.3 Comparison with Related Work -- 5 Conclusion -- References -- An Efficient Approach for Mining Weighted Sequential Patterns in Dynamic Databases -- 1 Introduction -- 2 Preliminary Concepts and Related Work -- 3 The Proposed Approach -- 3.1 The Pseudo-code -- 4 Performance Evaluation -- 5 Conclusions -- References. A Decision Rule Based Approach to Generational Feature Selection -- 1 Introduction -- 2 Methods and Algorithms -- 2.1 The Decision Rule Quality Based Importance Algorithm -- 2.2 The Contrast Features Generation Algorithm -- 2.3 The Generational Feature Selection Algorithm -- 3 Results and Conclusions -- References -- A Partial Demand Fulfilling Capacity Constrained Clustering Algorithm to Static Bike Rebalancing Problem -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Problem Formulation -- 4 Proposed Method -- 4.1 Framework -- 4.2 Target Inventory Determination -- 4.3 Rebalancing Route Optimization -- 5 Experiment -- 5.1 Comparative Environment -- 5.2 Experiment Results -- 6 Conclusions and Future Work -- References -- Detection of IP Gangs: Strategically Organized Bots -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Definition of IP Gang -- 4 IP Gang Detection Algorithm -- 4.1 Overview -- 4.2 Packaging: Constructing Organized Attack Events (OAEs) from Original Data -- 4.3 Clustering: Clustering OAEs to Form OAE Clusters -- 4.4 Analyzing: Identifying Gangs by Analyzing OAE Clusters -- 5 Experimentation on Real Life Data -- 5.1 Overview -- 5.2 Discussion of the Parameters -- 5.3 Visualization and Discussion -- 6 Conclusions and Future Work -- References -- Medical AI System to Assist Rehabilitation Therapy -- Abstract -- 1 Background and Purpose -- 2 Traditional AI -- 3 Proposed AI System to Assist Therapy for Rehabilitation -- 3.1 System Configuration -- 3.2 Medical Record Data Used for Learning -- 3.3 Learning Data Generation -- 3.4 Pattern Recognition -- 3.5 Suggestion of Optimal Therapies -- 4 Evaluation -- 5 Conclusion -- References -- A Novel Parallel Algorithm for Frequent Itemsets Mining in Large Transactional Databases -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Frequent Itemset Mining -- 2.2 Benchmark Description. 2.3 Data Structure for Transaction Database. EBL202103 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6296580 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757161 BOOK MIGRATED 2757155 SzGeCERN 20210421184123.0 9783319134642 electronic version electronic version 9783319134635 print version oai:cds.cern.ch:2757155 cerncds:BOOK EBL 6296546 eng QA76.9.A43 .P674 2014 004.6782 Pop, Florin Adaptive resource management and scheduling for cloud computing first international workshop, ARMS-CC 2014, held in conjunction with ACM symposium on principles of distributed computing, PODC 2014, Paris, France, July 15, 2014, revised selected papers Cham Springer International Publishing AG 2014 223 p ebook Lecture notes in computer science 8907 Intro -- Preface -- Organization -- Contents -- Invited Paper -- In-Memory Runtime File Systems for Many-Task Computing -- 1 Introduction -- 2 MemFS -- 3 Conclusions -- References -- Scheduling Methods and Algorithms -- A Multi-capacity Queuing Mechanism in Multi-dimensional Resource Scheduling -- 1 Introduction -- 2 Related Work -- 3 Multi-resource Scheduling -- 3.1 The Multi-capacity Bin-Packing Problem -- 3.2 A Heuristic to the Multi-capacity Bin-Packing Problem -- 3.3 Multi-capacity Queuing Mechanism -- 4 Experiments -- 4.1 Resource Model and Workload Characteristics -- 4.2 Workload Traces -- 4.3 Configurations -- 4.4 Results -- 5 Conclusions and Future Work -- References -- A Green Scheduling Policy for Cloud Computing -- 1 Introduction -- 2 Green Preserving SLA Schedulers -- 2.1 GPSLA. One Node -- 2.2 GPSLA. One Node Load-Aware -- 2.3 GPSLA. One Node Load-Aware and Heterogeneous Tasks -- 3 Results -- 3.1 GPSLA. One Node -- 3.2 GPSLA. One Node Load-Aware -- 3.3 GPSLA. One Node Load-Aware and Heterogeneous Tasks -- 4 Conclusions -- References -- A Framework for Speculative Scheduling and Device Selection for Task Execution on a Mobile Cloud -- 1 Introduction -- 2 Motivation for This Work -- 3 Proposed Methodology -- 3.1 Usage Model of Device -- 3.2 Detailed Methodology -- 4 Experiments and Results -- 4.1 Model Generation -- 4.2 Simulation of Offloading System -- 4.3 Working with Real Devices -- 5 Related Work -- 6 Conclusion and Future Work -- References -- An Interaction Balance Based Approach for Autonomic Performance Management in a Cloud Computing Environment -- 1 Introduction -- 2 Related Work -- 2.1 Resource Allocation in Cloud Computing Environment -- 2.2 Significance of Cloud Brokers -- 2.3 Large Scale Control-Based Performance Management Approaches. 3 A Distributed Control-Based Performance Management Approach Using the Interaction Balance Principle -- 3.1 Problem Decomposition -- 3.2 Service Provider Level Control -- 3.3 Cloud Broker Level Control -- 3.4 Forecasting the Environmental Inputs at Each Service Provider: -- 4 Performance Management of Service Providers in a Cloud Computing Environment -- 4.1 Service Provider Level Control Setup -- 4.2 Simulation Setup -- 4.3 Simulation Results -- 5 Benefits of the Proposed Approach -- 6 Conclusion and Future Work -- References -- Power-Efficient Assignment of Virtual Machines to Physical Machines -- 1 Introduction -- 1.1 Problem Definition -- 1.2 Related Work -- 1.3 Our Results -- 2 Preliminaries -- 3 Offline Analysis -- 3.1 NP-Hardness -- 3.2 The (,m)-VMA and (,)-VMA Problems have PTAS -- 3.3 Bounds on the Approximability of the (C,)-VMA Problem -- 4 Online Analysis -- 4.1 Lower Bounds -- 4.2 Upper Bounds -- 5 Discussion -- References -- Services and Applications -- SLA-Driven Simulation of Multi-Tenant Scalable Cloud-Distributed Enterprise Information Systems -- 1 Introduction -- 2 Related Work -- 2.1 CloudSim Cloud Simulator -- 2.2 Distributed Enterprise Information System Architecture -- 3 SLA-Driven Distributed Systems Scaling -- 3.1 Parallel CloudSim Cloudlet Scheduler -- 3.2 SLA-Based Scaling Manager -- 4 Evaluation Results -- 4.1 Simulation 1 -- 4.2 Simulation 2 -- 4.3 Simulation 3 -- 5 Conclusions -- References -- Towards Type-Based Optimizations in Distributed Applications Using ABS and JAVA 8 -- 1 Introduction -- 2 The ABS Language -- 3 The ABS-API Library -- 4 Case Study -- 4.1 Type-Based Optimization -- 5 Experimental Methodologies and Results -- 6 Related Work -- 7 Conclusions -- References -- A Parallel Genetic Algorithm Framework for Cloud Computing Applications -- 1 Introduction -- 2 Related Work. 3 The Proposed GA Framework Architecture -- 4 Framework Functionality -- 4.1 The Improved Island Model Coarse-Grained Implementation -- 4.2 An Efficient Distributed Fitness Evaluation -- 4.3 Working with Subpopulations -- 5 Experiments -- 5.1 Test Problems -- 5.2 Conducted Experiments -- 6 Conclusions -- References -- Analysing Scalability Strategies for Service Choreographies on Cloud Environments -- 1 Introduction -- 2 Motivating Example -- 3 Scalability Strategies in Cloud Platforms -- 4 Evaluating Scalability Strategies to Service Choreographies -- 4.1 Simulator -- 4.2 Simulation of Resource Allocation Policies Applied to a Service Choreography -- 5 Related Work -- 6 Final Remarks -- References -- Foundational Models for ResourceManagement in Cloud -- Towards Efficient Power Management in MapReduce: Investigation of CPU-Frequencies Scaling on Power Efficiency in Hadoop -- 1 Introduction -- 2 Background and Related Work -- 2.1 Hadoop -- 2.2 Power Management at CPU Level -- 2.3 Related Work -- 3 Methodology Overview -- 3.1 Platform -- 3.2 Benchmarks -- 3.3 Hadoop Deployment -- 3.4 Dynamic Voltage Frequencies Settings -- 4 Macroscopic Analysis -- 4.1 Performance Analysis -- 4.2 Energy Consumption -- 5 Microscopic Analysis -- 5.1 Dynamic Frequency Scaling -- 5.2 Statically-Configured Frequencies -- 6 Summary and Future Work -- References -- Self-management of Live Streaming Application in Distributed Cloud Infrastructure -- Abstract -- 1 Introduction -- 2 Distributed Cloud -- 3 Role-Based Self-appointment for Live Streaming (RBSA4LS) -- 4 Evaluation and Results -- 4.1 Configuration Scenario -- 4.2 Cogent Topology -- 5 Discussion -- 6 Related Work -- 7 Final Considerations and Future Work -- References -- Towards the Impact of Design Flaws on the Resources Used by an Application -- 1 Introduction -- 2 Related Work -- 2.1 Energy Optimization. 2.2 Design Flaws -- 2.3 Cloud Computing Energy Efficiency -- 3 Case-Study Setup -- 3.1 A Small Case Study: The Data Class Design Flaw -- 3.2 The JHotDraw Case Study -- 4 Threats to Validity -- 4.1 Construct Validity -- 4.2 Internal Validity -- 4.3 External Validity -- 4.4 Reliability Validity -- 5 Conclusions and Future Work -- References -- Policy-Based Cloud Management Through Resource Usage Prediction -- 1 Introduction -- 2 Related Work -- 3 Cloud Resource Management Architecture -- 3.1 Performance Monitoring -- 3.2 Policy-Based Resource Management -- 4 Resource Usage Prediction -- 5 Experimental Results -- 6 Conclusions and Future Work -- References -- An Inter-Cloud Architecture for Future Internet Infrastructures -- Abstract -- 1 Introduction -- 2 Motivation and Related Work -- 3 The Inter-Cloud Model -- 4 Experimental Prototype of Inter-Cloud -- 4.1 1st Experiment: Internal Calls -- 4.2 2nd Experiment: External Call to CloudLab and FI-LAB Cloud -- 4.3 3rd Experiment: External Call to FI-LAB to CloudLab, FI-LAB and Intellicloud -- 4.4 4th Experiment: External Call to CloudLab, FI-LAB, Intellicloud and AWS -- 5 Conclusions and Further Work -- Acknowledgement -- References -- Author Index. EBL202103 XX SzGeCERN BOOK Potop-Butucaru, Maria https://cds.cern.ch/auth.py?r=EBLIB_P_6296546 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2757155 BOOK MIGRATED 2757152 SzGeCERN 20210421184123.0 9783319395951 electronic version electronic version 9783319395944 print version oai:cds.cern.ch:2757152 cerncds:BOOK EBL 6296528 eng HT166 .A433 2016 005.7 Alba, Enrique Smart cities first international conference, Smart-CT 2016, Málaga, Spain, June 15-17, 2016, proceedings Cham Springer International Publishing AG 2016 178 p ebook Lecture notes in computer science 9704 Intro -- Preface -- Organization -- Contents -- A Holistic, Interdisciplinary Decision Support System for Sustainable Smart City Design -- 1 Introduction -- 2 The URBEM Smart City Application -- 3 Domain Expert Perspectives -- 3.1 Building Models -- 3.2 Energy Demand Models -- 3.3 Electrical Grid Models -- 3.4 Thermal Grid Models -- 3.5 Spatial Modeling and Visualization -- 4 Conclusion -- References -- A Status of Energy Efficient LED Based Traffic Lamps in Istanbul -- 1 Introduction -- 2 Comparison of LED Based Traffic Lights with Incandescent Bulbs -- 3 Contributions of LED Based Traffic Lamps to Energy Saving -- 4 Other Properties for LED Based Traffic Lamps -- 4.1 Contributions of LED Based Traffic Lights to Traffic and Road Safety -- 4.2 Contribution of LED Based Traffic Lights to the Environmental Protection -- 4.3 Disadvantages of LED Based Traffic Lamps -- 5 Conclusion -- References -- An ICT-Based Reference Model for E-grocery in Smart Cities -- 1 Introduction -- 2 Literature Review -- 3 The E-grocery Distribution Model -- 3.1 Central Unit -- 3.2 Traffic Handler Service -- 3.3 Mobile Application -- 3.4 Perishable Goods -- 4 Results -- 5 Conclusion -- References -- Behavioral Factors in City Logistics from an Operations Research Perspective -- 1 Introduction -- 2 Considering Behavioral Issues in City Logistics Concepts -- 2.1 City Logistics Concepts and Related Optimization Problems -- 2.2 The Importance of Behavioral Issues in City Logistics -- 3 OR Problems Considering Behavioral Issues in City Logistics: A Review -- 3.1 Simulation Models -- 3.2 Optimization Models -- 3.3 Combining Simulation with Metaheuristics to Model Behavioral Issues -- 4 Future Research Work and Conclusions -- References -- Comparing Wireless Traffic Tracking with Regular Traffic Control Systems for the Detection of Congestions in Streets -- 1 Introduction. 2 Wireless Tracking of Vehicles with Bluetooth -- 3 Analysis of Traffic Flow in a Busy Street -- 3.1 Data Sources -- 4 Experiments and Results -- 4.1 Traffic Flow -- 4.2 Indicatives of Saturation of the Street -- 5 Conclusions -- References -- Cooperative Lane-Change and Longitudinal Behaviour Model Extension for TraffSim -- 1 Introduction -- 2 Related Work -- 3 Requirements Analysis -- 4 Cooperative Lane-Change and Longitudinal Behavior Extension (CLLxt) -- 4.1 Perspective of the Invoking Vehicle -- 4.2 Perspective of the Supplying Vehicle(s) -- 4.3 Application Example -- 5 Conclusion and Outlook -- References -- CTPATH: A Real World System to Enable Green Transportation by Optimizing Environmentaly Friendly Routing Paths -- 1 Introduction -- 2 Problem Formulation -- 2.1 Speed Profile for a Path -- 2.2 Objective Functions -- 3 Related Work -- 4 Optimization Engine of CTPATH -- 5 The Developed CTPATH System -- 5.1 CTPATH System Architecture -- 5.2 CTPATH Application -- 6 Conclusions and Future Work -- References -- Electrifying Last-Mile Deliveries: A Carbon Footprint Comparison between Internal Combustion Engine ... -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Vehicle -- 3.2 Well-to-Tank -- 3.3 Tank-to-Wheel -- 4 Case Study -- 5 Results -- 6 Conclusions and Ongoing Work -- Acknowledgements -- References -- How to Incorporate Urban Complexity, Diversity and Intelligence into Smart Cities Initiatives -- Abstract -- 1 Introduction -- 2 Characteristics of Contemporary Cities -- 3 How to Approach Urban Complexity -- 4 How to Approach Urban Diversity -- 5 How to Approach Urban Intelligence -- 6 Implementing the Concepts into a Mass Tourism Destination -- 7 Conclusions -- References -- Mapping Smart Cities Situation +CITIES: The Spanish Case -- Abstract -- 1 Introduction -- 2 Objectives -- 3 Methodology. 3.1 Smart City Evaluation Factors -- 3.2 Territorial Indicators -- 3.3 Mapping Platform -- 4 Results -- 5 Discussion and Conclusions -- Acknowledgments -- References -- Mixed Integer Linear Programming Formulation for the Taxi Sharing Problem -- 1 Introduction -- 2 Taxi Sharing Problem -- 3 Mixed Integer Linear Programming Formulation -- 4 Experimental Results -- 4.1 Instances -- 4.2 Algorithms -- 4.3 Results -- 4.4 Answering the Research Questions -- 5 Related Work -- 6 Conclusion -- References -- Night Time and Low Visibility Driving Assistance Based on the Application of Colour and Geometrical Features Extraction -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Materials -- 3.2 Method -- 3.3 Colorimetric Study -- 3.4 Geometrical Features in the Detection of Cars -- 4 The Experimental Tests and Evaluations -- 5 Conclusions and Future Work -- Acknowledgment -- References -- Operationalising the Concept of the Smart City as a Local Innovation Platform: The City of Things L ... -- Abstract -- 1 Introduction -- 2 Different Approaches to the Smart City -- 2.1 The Top-Down Smart City -- 2.2 The Bottom-Up Smart City -- 2.3 The Smart City as a Local Innovation Platform -- 2.4 Proposed Operationalization of a Smart City -- 3 Operationalising the City as a Local Innovation Platform: The City of Things Lab -- 4 Conclusion -- References -- Smart Agents and Fog Computing for Smart City Applications -- 1 Introduction -- 2 Rainbow Architecture -- 3 Using Rainbow for Smart City Applications -- 3.1 Noise Pollution Mapping -- 3.2 Urban Drainage Networks -- 3.3 Smart Street -- 4 Conclusions -- References -- Smart Mobility by Optimizing the Traffic Lights: A New Tool for Traffic Control Centers -- 1 Introduction -- 2 Related Work -- 3 The HITUL System -- 3.1 Main Features -- 3.2 Architecture Overview -- 3.3 Optimization Strategy. 4 Practical Use and Benefits: Case Study of Málaga -- 5 Conclusions -- References -- Stakeholders Approach to Smart Cities: A Survey on Smart City Definitions -- Abstract -- 1 Introduction -- 2 Methodology -- 3 Definitions by Stakeholders -- 4 Comparative Analysis -- 5 Conclusions. Defining Smart City: A Cooperation and Agreement of Stakeholders -- Acknowledgements -- References -- Author Index. EBL202103 Computing and Computers SzGeCERN BOOK Chicano, Francisco Luque, Gabriel https://cds.cern.ch/auth.py?r=EBLIB_P_6296528 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757152 BOOK MIGRATED 2757132 SzGeCERN 20210421184124.0 9783642271427 electronic version electronic version 9783642271410 print version oai:cds.cern.ch:2757132 cerncds:BOOK EBL 6296434 eng QA76.76.A65 .K56 2011 004 Kim, Tai-hoon Future generation information technology third international conference, FGIT 2011, Jeju Island, December 8-10, 2011 proceedings Berlin Springer 2011 436 p ebook Lecture notes in computer science 7105 Intro -- Title -- Foreword -- Preface -- Organization -- Table of Contents -- Capturing Behavior of Medical Staff: A Similarity-Oriented Temporal Data Mining Approach -- Introduction -- Our Goal: Data-Mining Based Hospital Services -- Background -- Hospital Information System: Cyberspace in Hospital -- Basic Unit in HIS: Order -- Data Preparation and Analysis -- DWH -- Mining Process -- Mining Methods -- Visualizing Hospital Actions from Data -- Temporal Trend of #Orders -- Clustering of Temporal Trends of Divisions -- Decision Tree Induction -- Analysis of Trajectory of #Orders -- Characterization of Nursing Orders -- Conclusions -- References -- AF or DF, and How to Configure an Optimal Mixed AF-DF Relay System? -- References -- Cyber-Physical Intelligence in the Context of Power Systems -- Introduction -- Artificial Intelligence in Power Systems -- Intelligence at the Control Center Level -- Tutoring Environment Architecture -- Tutoring Module for Fault Diagnosis Training -- Tutoring Module for Restoration Training -- Intelligence at Customers House Level -- Conclusions -- References -- Interactive Navigation of Image Collections -- Introduction -- Honeycomb Image Browser -- Mobile Browsing Interface -- Multi-touch Interface -- Conclusions -- References -- Environmental Diversity Techniques of Software Systems -- References -- Multimedia Standards. History. State of Art -- MPEG Standards -- Open Standards for Interactive TV -- Standards in the Audiovisual Media -- W3C Standards -- Conclusion -- References -- Application of Wavelets and Kernel Methods Detection and Extraction of Behaviours of Freshwater Mussels -- Introduction -- Materials and Methods -- An Overview of the Wavelet Theory -- Event Extraction Algorithm -- Experiment Results -- Software Choices -- Conclusions and Future Work -- References. Test Cost Constraint Reduction with Common Cost -- Introduction -- Preliminaries -- Simple Common Test Cost Decision System -- Optimal Sub-reducts with Test Cost Constraint Problem -- The Algorithm -- Experiments -- Conclusions and Further Works -- References -- Ensembles of Bireducts: Towards Robust Classification and Simple Representation -- Introduction -- Theoretical Foundations -- Algorithmic Foundations -- Experimental Evaluation -- Conclusions -- References -- Efficient Implementation of Recursive Queries in Major Object Relational Mapping Systems -- Introduction -- Contribution -- Data Structures -- Data Representation in Object-Relational Mapping -- Recursive Query in Hibenate -- Recursive Query in Django-Models -- Performance -- Conclusions and Future Work -- References -- Partial Aggregation Using Hibernate -- Introduction -- Contribution -- Motivation Examples -- Hibernate -- ProposedSolution -- Future Work -- References -- High Speed Optical Coherent Transmission System Using Narrowband FM Subcarrier Multiplexing -- Introduction -- FM SCM Optical Coherent System -- Calculation of the Noise Variance and Performance Evaluation -- Conclusions -- References -- A Study on the Effective Lesson Plan of Creative Engineering Design Education for the Creativity Improvement of the Students of Engineering College -- Introduction -- Theoretical Background -- Operating Status of Creative Engineering Design Subjects -- Education for Creativity Improvement -- Main Subject -- Materials and Methods -- Weekly Lecture Contents -- Result of Study -- Conclusions and Recommendations -- References -- Frameworks for Multi-purpose U-Health Care Interface -- Introduction -- Related Works -- Abstract Preferences -- Multi-agent -- Global Standardization Trends of IEEE 11073 PHD -- Design of U-HealthCare Interface Using User Preference -- Design Guidelines. Device Specialization Standard in Our Works -- Device Interfaces -- Design of Function Module Based on OSGi -- EDI Converter Based on OSGi -- Service Model -- Modeling Multi-purpose U-HealthCare Interface -- Conclusions -- References -- Toward New Vision of XLINK -- Introduction -- HTML Hyperlinks Limitations -- XLINK -- Simple Web Link -- Simple Links in XLink -- Dynamic Links -- Extended Links in Xlink -- New Design of XLINK -- Conclusion -- References -- Design and Implementation of Ubiquitous Pig Farm Management System Using iOS Based Smart Phone -- Introduction -- Design of the Ubiquitous Pig Farm Management System -- System Structure -- Service Process -- Implementation of the Ubiquitous Pig Farm Management System -- Conclusions -- References -- Design of Cattle Barn Management System Based on Thermal Imaging Data -- Introduction -- Design of Cattle Barn Management System Based on Thermal Imaging Data -- Physical Layer -- Middleware -- Cattle Barn Control -- Web-GUI -- Conclusion -- References -- Design and Implementation of Wireless Sensor Network Based Livestock Activity Monitoring System -- Introduction -- Design of the Proposed Livestock Activity Monitoring System -- System Structure -- Service Process -- Implementation of the Proposed Livestock Activity Monitoring System -- Livestock Activity Measurement -- Result -- Conclusions -- References -- Design of Integrated Control System for Preventing the Spread of Livestock Diseases -- Introduction -- Design of Integrated Control System for Preventing the Spread of Livestock Diseases -- Environmental Information Gathering System -- Vehicle Tracking System -- Spread Prevention Middleware -- Integrated Monitoring System -- Conclusion -- References -- Hop-Count Based Energy Efficient Traffic Control Mechanism in Wireless Sensor Network -- Introduction -- Related Works. Hop-Count Based Traffic Control Mechanism -- Performance Analysis and Result -- Conclusions -- References -- An Energy-Efficient Routing Algorithm in Wireless Sensor Networks -- Introduction -- Related Work -- Proposal of Protocol -- Performance Analysis and Result -- Experiment Configuration -- Simulation Result and Analysis -- Conclusions -- References -- A Study on SOAP-Based Standard Platform for the Connection Activation of Report Management Systems -- Introduction -- The SOAP-Based Technology -- The RESTful-Based Technology -- Comparison of the Web Services for Standard Platform Design -- Design of Standard Platform for National R&amp -- D Reports -- Experimental Results -- Conclusion -- References -- The 4-Tier Design Pattern for the Development of an Android Application -- Introduction -- Related Work -- Android Application Structure -- The Design for the Mobile Application -- The 4-Tier Design Pattern for the Android Application -- The Proposed 4-Tier Structure -- The Relationship with Each Layer -- The Example Using the 4-Tire Design Pattern -- The 4-Tier Architecture -- The Relationship between Layers -- The Implementation Result -- The Conclusion -- References -- A Study on the Power Divider of the Microstrip Antenna for Identification Friend or Foe Radar -- Introduction -- Excitation Coefficient -- Design of Power Divider -- 180 Degree Hybrid Ring Power Divider -- T-junction Power Divider -- Implementation of Power Divider -- Conclusion -- References -- An Approach to Access the Distributed Data Based on the Multi-Agent System for Interoperability -- Introduction -- Multi-Agent System -- The Multi-Agent System on the Distributed Topology -- Conclusion -- References -- Design and Implementation of a Remote Control for IPTV with Sensors -- Introduction -- Remote Control for IPTV -- Design of Remote Control. Implementation of the Remote Control -- Conclusion -- References -- The End-to-End Reliability Algorithms Based on the Location Information and Implicit ACK in Delay Tolerant Mobile Networks -- Introduction -- Relevant Research -- Delay Tolerant Networks -- The Concept of DTMNs -- Reliability Research -- Hop-by-Hop -- Active Receipt -- Passive Receipt -- Proposal of Reliability Algorithm Using Location Information and Performance Analysis -- Message Definition and Structure -- Message Transmission Using Implicit ACK -- Epidemic Based Location Information Table Distribution and Path Setting -- Performance Evaluation -- Conclusion and Further Research -- References -- A Study on Automatic Analysis of Social Network Services Using Opinion Mining -- Introduction -- Related Work -- Interaction -- Opinion Mining -- SVM (Support Vector Machine) -- System Architecture Is Based on the Interaction -- Feature Data Selection -- System Configuration -- Experiment and Results -- The Experimental Data Classification -- The Trend Predictions of the Using Opinion Mining -- Conclusion -- References -- On the Security of a Robust Watermarking Scheme Based on RDWT-SVD -- Introduction -- RDWT-SVD Based Watermarking Scheme -- Theoretical Analysis of the Problem -- Further Attack -- Experimental Results -- Conclusions -- References -- Experiment and Verification of Teaching Fractal Geometry Concepts Using a Logo-Based Framework for Elementary School Children -- Introduction -- Architecture Theoretical Background -- Easy to Use -- Motivation -- High Connectivity of Mathematics and LOGO -- Using Fractal Geometry in Education -- School Computer Education Using LOGO and Fractals -- Linking Computer Education to Elementary School Mathematics Courses -- Development of Education Method for T shaped Fractal Geometrical Theory. Methods of Applying LOGO to Elementary School Computer Education. EBL202103 Computing and Computers SzGeCERN EBL Artificial intelligence BOOK Adeli, Hojjat Slezak, Dominik Sandnes, Frode Eika Song, Xiaofeng Chung, Kyo-il Arnett, Kirk P https://cds.cern.ch/auth.py?r=EBLIB_P_6296434 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2757132 BOOK MIGRATED 2757096 SzGeCERN 20210421184126.0 9783319706825 electronic version electronic version 9783319706818 print version oai:cds.cern.ch:2757096 cerncds:BOOK EBL 6295712 eng QA76.5913 .S463 2017 006 Wang, Zhe Semantic technology 7th joint international conference, JIST 2017, Gold Coast, QLD, Australia, November 10-12, 2017, proceedings Cham Springer International Publishing AG 2017 354 p ebook Lecture notes in computer science 10675 Intro -- Preface -- Organization -- Contents -- Ontology and Data Management -- Building Wikipedia Ontology with More Semi-structured Information Resources -- 1 Introduction -- 2 Related Work -- 3 English Wikipedia Ontology Building Method -- 3.1 Is-a Relation Extraction Method -- 3.2 Class-Instance Relation Extraction Method -- 3.3 Triple Extraction Method -- 3.4 Upper-Lower Relation Extraction Method from Define Statements -- 4 Evaluation of Built Ontology -- 4.1 Result of Is-a Relation Extraction -- 4.2 Result of Class-Instance Relation Extraction -- 4.3 Result of Triple Extraction -- 4.4 Result of Upper-Lower Relation Extraction from Define Statements -- 5 Evaluation by Comparison with Existing Ontology -- 5.1 Comparison with YAGO -- 5.2 Comparison with DBpedia Ontology -- 6 Conclusion -- References -- Data Structuring for Launching Web Services Triggered by Media Content -- Abstract -- 1 Introduction -- 2 Issues -- 3 Related Work -- 4 Data Model -- 4.1 Analysis of Actual Service Categories and Genres -- 4.2 Overview About Data Model -- 4.3 Structuring Data -- 4.3.1 Data Structure for Content -- 4.3.2 Data Structure for Service Description -- 4.4 Inference-Based Matching/Query Generation Processing -- 4.4.1 Processing Matches for Content and Services -- 4.4.2 Processing Query Generation for Launching Services -- 5 Discussion -- 5.1 Service Linking When Watching Broadcast Content -- 5.2 Added Service Linkage to Existing IFTTT Service -- 6 Summary -- References -- Refined JST Thesaurus Extended with Data from Other Open Life Science Data Sources -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Update of Refined JST Thesaurus -- 4 Evaluation of the Refined JST Thesaurus -- 4.1 Method -- 4.2 Results -- 5 Conclusions -- Acknowledgment -- References -- Refinement-Based OWL Class Induction with Convex Measures -- 1 Introduction. 1.1 Preliminaries -- 2 Beam Search for Concepts -- 3 Utility and Quality Functions in Beam Search -- 4 A Top-k Beam Search for Supervised Concept Learning -- 5 Experimental Evaluation -- 6 Related Work -- 7 Conclusion -- References -- Ontology Reasoning -- Reasoning on Context-Dependent Domain Models -- 1 Introduction -- 2 Basic Notions -- 3 Reasoning on Role-Based Models -- 4 JConHT - a SHOIQSHOIQ Reasoner -- 5 Case Studies -- 6 Related Work -- 7 Conclusion -- References -- Energy-Efficiency of OWL Reasoners---Frequency Matters -- 1 Introduction -- 2 Experimental Setup -- 2.1 Experimental Data and Systems -- 2.2 Setup of the Experiments -- 3 Observations -- 3.1 Running Times -- 3.2 Energy and Power Consumption -- 3.3 Impact of the CPU Frequency -- 4 Conclusion -- References -- The Identity Problem in Description Logic Ontologies and Its Application to View-Based Information Hiding -- 1 Introduction -- 2 The Identity Problem -- 3 Three DLs with Equality Power -- 4 The Complexity of the Identity Problem -- 5 The View-Based Identity Problem -- 6 Conclusions and Future Work -- References -- Linked Data and Query -- Resolving Range Violations in DBpedia -- 1 Introduction -- 2 Range Violation Errors in DBpedia -- 3 Related Work -- 4 Our Approach -- 4.1 Constructing a Reduced Search Space -- 4.2 Calculating Scores -- 5 Experiments -- 5.1 Datasets -- 5.2 Experiment 1: Evaluating the Search Space -- 5.3 Experiment 2: Evaluating the Whole Approach -- 6 Conclusion -- References -- Entity Linking in Queries Using Word, Mention and Entity Joint Embedding -- 1 Introduction -- 2 Word, Mention and Entity Joint Embedding -- 2.1 The Skip-Gram Model -- 2.2 Joint Embedding by Skip-Gram Model -- 2.3 Using Wikipedia as Training Corpus -- 3 Query Entity Linking Approach -- 3.1 Identifying Mentions and Its Candidate Entities -- 3.2 Features for Entity Disambiguation. 3.3 Entity Linking as Ranking -- 4 Evaluation -- 4.1 Dataset -- 4.2 Comparison Systems -- 4.3 Evaluation Results -- 5 Related Work -- 5.1 Entity Embedding -- 5.2 Entity Linking -- 6 Conclusion -- References -- Publishing E-RDF Linked Data for Many Agents by Single Third-Party Server -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Systematic URI Standard of Third-Party Server -- 3.1 URI Definition Standard -- 3.2 Graph: Multiple Agents Management -- 3.3 Ontology: Concept and Property -- 3.4 Resource: Instance or Individual -- 4 E-RDF: An Extension Notion of RDF -- 5 Confidential Data Protection -- 6 Prototype System -- 7 Interlinking and 5-Star Data Improvement -- 8 Conclusion -- Acknowledgments -- References -- Missing RDF Triples Detection and Correction in Knowledge Graphs -- 1 Introduction -- 2 Related Work -- 3 Knowledge Graph Analysis for Discovering RDF Triples -- 3.1 Graph-Based Approach for Object Property Triples -- 3.2 Word Embedding Based Approach for Datatype Property Triples -- 4 Experiment -- 4.1 Knowledge Graphs -- 4.2 Implementation -- 4.3 Exp 1: Discover Similar Object Properties -- 4.4 Exp 2: Discover Object Property Triples -- 4.5 Exp 3: Discover Similar Datatype Properties -- 4.6 Exp 4: Discover Datatype Property Triples -- 5 Conclusion and Future Work -- References -- Information Retrieval and Knowledge Discovery -- A New Sentiment and Topic Model for Short Texts on Social Media -- 1 Introduction -- 2 Related Work -- 2.1 Topic Models on Short Texts -- 2.2 Joint Sentiment/Topic Models -- 3 The Proposed Work -- 3.1 Brief Review of TUS-LDA -- 3.2 Sentiment Topic Model for Posts -- 3.3 Parameters Inference for STMP -- 3.4 Incorporating Prior Knowledge -- 4 Experiment -- 4.1 Dataset Description -- 4.2 Sentiment Lexicon -- 4.3 Parameter Settings -- 4.4 Sentiment Classification -- 4.5 Qualitative Analysis. 5 Conclusion and Future Work -- References -- Semi-supervised Stance-Topic Model for Stance Classification on Social Media -- 1 Introduction -- 2 Related Work -- 2.1 Supervised Stance Classification -- 2.2 Weakly-supervised or Semi-supervised Stance Classification -- 3 Our Proposed Model -- 3.1 Generative Process -- 3.2 Setting x with a Maximum Entropy Model -- 3.3 Inference -- 4 Experiment Analysis -- 4.1 Dataset Description -- 4.2 Parameter Settings -- 4.3 Stance Classification -- 4.4 Case Analysis for Stance Detection -- 4.5 Visualization of Stance-Related Topics -- 5 Conclusion and Future Work -- References -- Mining Inverse and Symmetric Axioms in Linked Data -- 1 Introduction -- 1.1 Challenges and Contributions -- 2 Related Work -- 2.1 Limitations of Existing Work -- 3 Preliminaries -- 3.1 Property Axioms -- 3.2 Mining Logical Rules Under OWA -- 4 Proposed Method -- 4.1 Rules of Interest -- 4.2 Ordering Rules -- 4.3 Clustering -- 4.4 Axiom Generation -- 5 Experimental Results -- 5.1 Datasets -- 5.2 Comparison with Naive Baselines -- 5.3 Quantitative Performance -- 5.4 Qualitative Performance -- 6 Conclusion -- References -- Enhancing Knowledge Graph Embedding from a Logical Perspective -- 1 Introduction -- 2 Preliminaries -- 2.1 OWL 2 RBox and Knowledge Graph -- 2.2 Translation-Based Methods in Knowledge Graph Embedding -- 3 Enhancements for Translation-Based Methods -- 4 Experiments -- 4.1 Data Sets -- 4.2 Link Prediction -- 4.3 Triple Classification -- 5 Related Work -- 6 Conclusions and Future Work -- References -- Knowledge Graphs -- Cross-Lingual Taxonomy Alignment with Bilingual Knowledge Graph Embeddings -- 1 Introduction -- 2 The Proposed Approach -- 2.1 Candidates Identification -- 2.2 Acquiring Relevant Triples -- 2.3 Learning Vector Representations -- 2.4 Exact Matching -- 3 Preliminary Experiments -- 3.1 Experiment Settings. 3.2 Preliminary Results -- 3.3 Combining BTransE with BiBTM -- 4 Conclusion and Future Work -- References -- KG-Buddhism: The Chinese Knowledge Graph on Buddhism -- 1 Introduction -- 2 Development Method -- 2.1 Knowledge Collection -- 2.2 Knowledge Fusion -- 2.3 Knowledge Completion -- 2.4 Linking to DBpedia -- 3 Dataset Statistics -- 4 Online API -- 5 Conclusions and Future Work -- References -- Semantic Graph Analysis for Federated LOD Surfing in Life Sciences -- 1 Introduction -- 2 LOD Surfer -- 2.1 SPARQL Builder Metadata -- 2.2 Merged Class Graph for LOD -- 3 Graph Analysis for Merged Class Graph -- 3.1 Cut Classes for Federated Search -- 4 Discussion -- 5 Conclusion -- References -- Development of Semantic Web-Based Imaging Database for Biological Morphome -- 1 Introduction -- 2 Methods -- 2.1 Extension of Microscopy Ontology for Morphomics Data -- 2.2 Microstructural Bioimaging and Image Processing -- 2.3 Development of Electron Microscopy Viewer and the Annotation of Phenotype Data -- 2.4 Construction of Metadatabase for Microstructural Imaging Data of Biotissue -- 3 Results and Discussion -- 3.1 Vocabulary Extension for Experimental Description and Morphome Data Description -- 3.2 Imaging Metadatabase and Comprehensive Morphome Analysis on the Semantic Web -- 4 Conclusions -- References -- Applications of Semantic Technologies -- User Participatory Construction of Open Hazard Data for Preventing Bicycle Accidents -- 1 Introduction -- 2 Related Works -- 2.1 Environmental Sensing Methods -- 2.2 Behavior Recognition Methods -- 2.3 User Participation Methods -- 3 Detection System of Sudden Braking -- 3.1 Sensing User Data -- 3.2 Sudden Braking Recognition -- 4 Experiment Results on Sudden Braking Detection -- 4.1 Preliminary Experiment -- 4.2 Actual Experiment on Public Streets -- 5 RDF Construction -- 6 Conclusion and Future Work -- References. Semantic IoT: Intelligent Water Management for Efficient Urban Outdoor Water Conservation. EBL202103 XX SzGeCERN EBL Semantic computing-Congresses EBL Linked data-Congresses EBL Semantic Web-Congresses BOOK Turhan, Anni-Yasmin Wang, Kewen Zhang, Xiaowang https://cds.cern.ch/auth.py?r=EBLIB_P_6295712 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757096 BOOK MIGRATED 2757080 SzGeCERN 20210421184127.0 9783319210704 electronic version electronic version 9783319210698 print version oai:cds.cern.ch:2757080 cerncds:BOOK EBL 6295567 eng QA76.9.C65 .D545 2015 001.434 Duffy, Vincent G Digital human modeling 6th international conference, DHM 2015, held as part of HCI international 2015, Los Angeles, CA, USA, August 2-7, 2015, proceedings, part II Cham Springer International Publishing AG 2015 551 p ebook Lecture notes in computer science 9185 Intro -- Foreword -- HCI International 2015 Thematic Areas and Affiliated Conferences -- Conference Proceedings Volumes Full List -- Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management -- Program Board Chair: Vincent G. Duffy, USA -- HCI International 2016 -- Contents - Part II -- Contents - Part I -- Anthropometry and Ergonomics -- Estimation of Arbitrary Human Models from Anthropometric Dimensions -- Abstract -- 1 Introduction -- 2 Definitions and Methods -- 2.1 Human Model Definition -- 2.2 Overview of the Method -- 2.3 Estimation of the Comprehensive Set of Anthropometric Dimensions -- 2.3.1 Preparation -- 2.3.2 Principal Component Analysis -- 2.3.3 Estimation of the Dimension Vector -- 2.4 Construction of the Human Model -- 2.4.1 The Dhaiba Model Template -- 2.4.2 Skin Surface Deformation Based on Link Scales -- 2.4.3 Optimization Method for Constructing the Target Human Model -- 3 Results and Discussion -- 4 Conclusions -- Annex A. Comprehensive Set List of Anatomical Dimensions -- References -- Optimisation of Product's Hand-Handle Interface Material Parameters for Improved Ergonomics -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Finite Element Model - Geometrical and Boundary Conditions -- 2.2 Finite Element Model - Material Properties -- 2.3 Optimisation and Numerical Tests -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- An Approach for Intuitive Visualization of Ergonomic Issues -- 1 Introduction -- 2 Potential Users and Requirements -- 3 State of the Art -- 4 Related Work -- 5 Evaluation Procedure -- 6 Design Process -- 7 Conclusions -- References -- Correlation Analysis on the Main and Basic Body Dimension for Chinese Adults -- Abstract -- 1 Foreword -- 2 The Body Dimensions Applied in the Analysis of Correlation -- 3 Analysis of the Correlation of Anthropometric Data. 3.1 Studies of the Relevant Parameters -- 3.2 Linear Regression Analysis -- 3.3 Test of the Regression Equation -- 4 Conclusion and Outlook -- Acknowledgment -- References -- The Experimental Research of the Thumb's Comfortable Control Area -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Participants -- 2.2 Design -- 2.3 Procedure -- 3 Results -- 3.1 Data Obtained from Experimental Measurement -- 3.2 The Ratio Between the Thumb's Comfortable Limit and the Thumb Length -- 3.3 Calculate Chinese Adult Thumb's Comfortable Control Area -- References -- Study on the Body Shape of Middle-Aged and Old Women for Garment Design -- Abstract -- 1 Introduction -- 2 The Issue of Garment Size in China -- 2.1 The Measuring Data Is Quite Old -- 2.2 The Classification of Garment Size Is Too Simple -- 3 The Methods of the Classification About Body Type in the Domestic and Overseas -- 4 The Data of Anthropometry -- 4.1 The Analysis of Data Percentage -- 4.2 Experimental Subject -- 4.3 Measurement Methods and Measurement Tools -- 4.4 The Measurement Parts and Methods -- 5 Body Type Characteristic Analysis -- 5.1 The Body Type of Current Situation of Middle-Aged and Old Women -- 5.2 The Analysis of Data Dispersion -- 5.3 The Analysis of K-Mean Cluster -- 5.4 The Determine of Body Type -- 6 Conclusion -- Acknowledgment -- References -- Estimating Ergonomic Comfort During the Process of Mechanism Design by Interaction with a Haptic Feedback-System -- Abstract -- 1 Introduction and Motivation -- 1.1 Design Process of Manually Operated Mechanisms and Usage of Haptic Feedback -- 1.2 Application Scenarios of Haptic Devices in Design Process -- 2 RePlaLink -- Haptic Feedback-System -- 2.1 State of the Art of Haptic Feedback Devices -- 2.2 Characteristics of the RePlaLink-HFS -- 2.3 Control and Data Processing -- 3 Design of Experiments Using a HFS to Estimate Ergonomic Comfort. 3.1 Designer and Customer Tests -- 3.2 Design of Experiments - Estimation and Quantification -- 4 HFS as Process Oriented Tools -- References -- The Role of Virtual Ergonomic Simulation to Develop Innovative Human Centered Products -- Abstract -- 1 Introduction -- 2 Methodology -- 3 Applications -- 3.1 Industrial Application -- 3.2 Medical Application -- 4 Discussion and Conclusions -- References -- Anthropometric Casualty Estimation Methodologies -- Abstract -- 1 Background -- 2 The Need for Anthropometric Casualty Estimation -- 3 Analysis Process to Study PPE Fit and Form -- 4 Analysis Methodologies to Access Fit, Form, Wound Severity, and Level of Protection for Anthropome ... -- 5 Conclusions and Future Work -- References -- Experimental Study on Grip Ergonomics of Manual Handling -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Experimental Study of the Shape for the Gripping Structure -- 2.2 Experimental Study of the Position for the Gripping Structure -- 3 Results -- 3.1 Ergonomic Structure Size of Grip Groove -- 3.2 Position Height of Grasping Groove -- 4 Discussions and Conclusion -- References -- Moment Analysis of Virtual Human Joint Based on JACK -- Abstract -- 1 Introduction -- 2 Modeling of Digital Human -- 3 The Influence on the Joint Torque by Changing Joint Angle -- 3.1 The Joint Torques Change of the Right Lower Limb with Ankle Joint Angle -- 3.2 The Joint Torques Change of the Right Lower Limb with Knee Joint Angle -- 4 Test and Analysis -- 5 Conclusion -- Acknowledgement -- References -- Motion Modeling and Tracking -- Parameter Estimation from Motion Tracking Data -- Abstract -- 1 Introduction -- 2 The Articulated Model -- 2.1 Case A -- 2.2 Case B -- 3 Parameter Estimation with Bayes Filter -- 4 Conclusions -- References -- Body Tracking as a Generative Tool for Experience Design -- Abstract -- 1 Introduction. 2 The Study of Human Movements in Design -- 3 The Method -- 4 The Case Study -- 5 Results and Discussion -- 6 Conclusions -- Acknowledgements -- References -- Modeling and Simulating Lifting Task of Below-Knee Amputees -- Abstract -- 1 Introduction -- 2 Method -- 3 Results -- 4 Revised Modeling -- 5 Conclusion -- References -- Real-Time Static Gesture Recognition for Upper Extremity Rehabilitation Using the Leap Motion -- Abstract -- 1 Introduction -- 2 Background -- 3 Related Work -- 4 Experimental Procedure -- 4.1 Equipment -- 4.2 Data Collection -- 5 Analysis -- 6 Game -- 7 Conclusion -- 8 Future Work -- Acknowledgements -- References -- Experience Factors Influence on Motion Technique of "The Way of Tea" by Motion Analysis -- Abstract -- 1 Introduction -- 2 Experiment -- 2.1 Participants and Subjects -- 2.2 Experimental Process -- 2.3 Analysis Processing -- 3 Results and Discussions -- 4 Conclusions -- References -- Study of Caregiver's Waist Movement Comparison Between Expert and Non-expert During Transfer Care -- Abstract -- 1 Introduction -- 2 Experiment -- 2.1 Participants -- 2.2 Experimental Preparation -- 2.3 Post Process -- 3 Results and Discussions -- 3.1 Waist Movement Range -- 3.2 Waist Region's Acceleration and JERK Analysis During Transfer Care -- 3.3 Waist Roundness, Bending Angle and Waist Joint Angle Discussion -- 4 Conclusions -- References -- Effect of Care Gesture on Transfer Care Behavior in Elderly Nursing Home in Japan -- Abstract -- 1 Introduction -- 2 Experiment -- 2.1 Participants -- 2.2 Experimental Preparation and Setting -- 2.3 Post Process -- 3 Results and Discussions -- 3.1 Transfer Care Process Analysis and Comparison -- 3.2 Transfer Care Working Distance and Range -- 3.3 Knee's Angle During Lower Limb Exertion -- 3.4 Foot Distance Discussion -- 4 Conclusions -- References. Balancing Power Consumption and Data Analysis Accuracy Through Adjusting Sampling Rates: Seeking for ... -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Method -- 3.1 Experiments for Evaluating How the Sampling Rate Impacts Power Consumption -- 3.2 Experiments for Evaluating How the Sampling Rate Impacts Data Analysis Accuracy -- 4 Results -- 5 Discussion and Conclusions -- References -- MoCap-Based Adaptive Human-Like Walking Simulation in Laser-Scanned Large-Scale as-Built Environments -- Abstract -- 1 Introduction -- 2 Related Work -- 3 3D Environmental Modeling from Laser-Scanned Point Clouds -- 4 MoCap-Based Adaptive Walking Simulation in as-Built Environments -- 4.1 Macro-Level Simulation -- 4.2 Micro-Level Simulation Based on MoCap Data -- 4.2.1 Updating Locomotion Vector (A6) -- 4.2.2 Generating Target Posture (A7) -- 4.2.3 Interpolating Stance Leg Motion (A8) -- 4.2.4 Generating Swing Leg Motion (A9) -- 5 Simulation Results -- 5.1 Walking Simulation Results in the 3D Environmental Models -- 5.2 Modeling and Simulation Performance -- 6 Conclusions -- References -- Electromyography Measurement of Workers at the Second Lining Pounding Process for Hanging Scrolls -- Abstract -- 1 Introduction -- 2 Structure and Material of the Hanging Scroll -- 3 Experimental Method -- 3.1 Subjects -- 3.2 Method of Experiment -- 4 Measurement Results -- 4.1 Muscles that Worked During Pounding -- 4.2 Activity Per Muscle Group of the Expert and Non-expert -- 5 Conclusion -- Acknowledgments -- References -- EMG Activity of Arms Muscles and Body Movement During Chucking in Lathebetween Expert and Non-expert -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Participants -- 2.2 Apparatus -- 3 Results and Discussions -- 3.1 Participants Characteristics of Chucking Motion Analysis -- 3.2 EMG Processing Analysis. 4 Conclusions of the Relation Among the Subjects Personality, Motion Activity and Arms Muscle Contra ... EBL202103 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6295567 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2757080 BOOK MIGRATED 2757066 SzGeCERN 20210421184127.0 9783030028435 electronic version electronic version 9783030028428 print version oai:cds.cern.ch:2757066 cerncds:BOOK EBL 6295486 eng QA76.76.A65 .D545 2018 005.3 Alexandrov, Daniel A Digital transformation and global society third international conference, DTGS 2018, St. Petersburg, Russia, May 30 - June 2, 2018, revised selected papers, part I Cham Springer International Publishing AG 2018 556 p ebook Communications in computer and information science 858 Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- E-Polity: Smart Governance and E-Participation -- Information Systems as a Source of Official Information (on the Example of the Russian Federation) -- Abstract -- 1 Introduction -- 2 State Information Systems -- 3 Presumption of Authenticity of Official Information -- 4 The Problem of Reliability of Lack of Information -- 5 The Problem of Information Quality in State Information Systems -- 6 Types of State Information Systems Based on the Possibility of Ensuring the Authenticity of Information -- 7 Conclusions and Prospects -- References -- Blockchain and a Problem of Procedural Justice of Public Choice -- Abstract -- 1 Introduction -- 2 Blockchain in Russia: Active Citizen (Moscow) -- 3 Blockchain and the Fairness of the Conditions for Collaboration -- 4 Reciprocity for the Blockchain Community -- 5 Blockchain as an Institution for Collaboration -- 6 Conclusion -- Funding -- References -- Competence-Based Method of Human Community Forming in Expert Network for Joint Task Solving -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Identification of Requirements -- 4 The Method for Forming a Community of Experts for Task Solving -- 5 Conclusion -- Acknowledgements -- References -- EParticipation in Friedrichshafen: Identification of Target Groups and Analysis of Their Behaviour -- Abstract -- 1 Introduction -- 2 Hypotheses About EParticipation and Group Behaviour -- 3 Research Approach and Methodology -- 4 Participants' Characteristics -- 5 Target Group Behaviour Determination Concept -- 5.1 First-Time Voters -- 5.2 Amateur Voters -- 5.3 Professional Voters -- 5.4 Expert Voters -- 6 Verification of Hypotheses -- 7 Discussion, Conclusion and Outlook -- References -- Social Efficiency of E-participation Portals in Russia: Assessment Methodology -- Abstract. 1 Introduction -- 2 State of the Art -- 3 Methodology for E-participation Portals Assessment -- 3.1 Stages of Political Decision-Making -- 3.2 Dimensions of Social Efficiency -- 3.3 System of Indicators -- 4 Results of E-participation Portals Social Efficiency Assessment -- 5 Conclusion -- 6 Discussion -- Acknowledgements -- References -- Direct Deliberative Democracy: A Mixed Model -- Abstract -- 1 Introduction -- 2 Multistage Deliberative Policy-Making Process -- 3 Mass Online Deliberation -- 4 Argumentative Facilitation -- 5 Implicit Voting -- 6 Personal Preference Profiles -- 7 Conclusion -- References -- Identifier and NameSpaces as Parts of Semantics for e-Government Environment -- Abstract -- 1 Introduction -- 2 Conceptual Modeling -- 3 Registers of Core Components -- 3.1 Methodological Aspects of Data Codification -- 3.2 International Experience in Application of Codification Systems -- 4 Standardization of Name Space for Information Exchange -- 4.1 Domain Dictionaries -- 4.2 Expansion of Branch Dictionaries for Adjacent Object Fields -- 4.3 Unification of the Dictionaries Used for Computerization of Various Functions -- 5 Conclusions -- References -- Digital Transformation in the Eurasian Economic Union: Prospects and Challenges -- Abstract -- 1 Introduction -- 2 Theoretical Background and Research Methodology -- 3 The Digital Agenda and Digital Transformation in the EEU: Main Directions and Expected Results -- 4 Risk Assessment of Digital Transformation in the EEU -- 4.1 General Risks -- 4.2 Risks Associated with the Digital Gap -- 4.3 Potential Risks in Implementing Electronic Governance -- 5 Evaluation of Expert Forecasts -- 6 Discussion -- Acknowledgments -- References -- Contextualizing Smart Governance Research: Literature Review and Scientometrics Analysis -- Abstract -- 1 Introduction -- 2 A Scientometrics Review on Smart Governance. 3 Contextualizing Smart Governance -- 3.1 Smart Governance and E-governance -- 3.2 Smart Governance and E-participation -- 4 Conclusion -- Acknowledgements -- References -- E-Polity: Politics and Activism in the Cyberspace -- Is There a Future for Voter Targeting Online in Russia? -- Abstract -- 1 Introduction -- 2 Theoretical Background -- 3 Methods -- 3.1 Sample -- 4 Results -- 5 Conclusion and Discussion -- Acknowledgments -- References -- Measurement of Public Interest in Ecological Matters Through Online Activity and Environmental Monitoring -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Theoretical Grounding and Methodology -- 4 Empirical Analysis -- 5 Discussions -- Acknowledgments -- References -- Data-Driven Authoritarianism: Non-democracies and Big Data -- Abstract -- 1 Introduction -- 2 Big Data and the Regime Dynamics -- 3 Politics of the Big Data Policy in Russia -- 4 Conclusion and Future Steps -- Acknowledgements -- References -- Collective Actions in Russia: Features of on-Line and off-Line Activity -- Abstract -- 1 Introduction -- 2 Collective Actions: Deviation or Rational Behavior -- 3 Collective Action and the Internet -- 4 Data and Methods -- 5 Discussion -- 6 Conclusions -- Acknowledgments -- References -- E-Polity: Law and Regulation -- Legal Aspects of the Use of AI in Public Sector -- Abstract -- 1 Introduction -- 2 Current Practice of the Use of AI for Smart Government -- 3 Rationale for the Use of AI in Public Sector -- 4 Problematics on Forming an Appropriate Legal Framework -- 4.1 Legal Personality of AI -- 4.2 AI vs. Human Rights -- 4.3 Liability of AI -- 4.4 Transparency and Open Data -- 4.5 Public Trust and AI -- 5 Conclusion -- References -- Internet Regulation: A Text-Based Approach to Media Coverage -- 1 Introduction -- 1.1 Theoretical Framework. 1.2 Legislation and Public Opinion on Internet Regulation in Russia -- 2 Data and Method -- 3 Results -- 3.1 Dynamics and Topics -- 3.2 Topics and Metadata -- 4 Discussion -- 5 Conclusion -- References -- Comparative Analysis of Cybersecurity Systems in Russia and Armenia: Legal and Political Frameworks -- Abstract -- 1 Introduction -- 2 Methodology and Scope of Research -- 3 Literature Review -- 4 The Concept of Cybersecurity -- 5 Legal and Policy Framework of Cybersecurity in Russian Federation -- 6 International Aspects of Russian Information Security Policy -- 7 Cybersecurity of the Republic of Armenia -- 8 Conclusions -- References -- Assessment of Contemporary State and Ways of Development of Information-Legal Culture of Youth -- Abstract -- 1 Introduction -- 2 Sociological Estimation of Contemporary State of Legal Culture of Youth in the Sphere of Using of Intellectual Property Items -- 3 Content of Information and Legal Culture of a Pupil -- 4 Selection of the Content of Legal Education and Training Within Learning Courses in General School -- 5 Methods of Active Learning as an Effective Way of Forming Information and Legal Culture of a Pupil -- 6 Future Work -- 7 Conclusion -- References -- E-City: Smart Cities &amp -- Urban Planning -- The Post in the Smart City -- Abstract -- 1 Introduction -- 2 The Use of Up-to-date High Technologies by Postal Operators -- 2.1 Postal Services and Technologies Used in the Smart City Projects -- 2.2 The Russian Post Assets -- 2.3 The Russian Post Readiness Level to Use the Smart Technology -- 2.4 Technological Trends that Will Affect the Provision of Electronic Services in the Russian Post -- 3 "Smart City and the Russian Post" Survey -- 3.1 Purposes and Issues -- 3.2 Survey Results -- 4 Conclusions and Recommendations -- References. The Smart City Agenda and the Citizens: Perceptions from the St. Petersburg Experience -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Research Design -- 4 Findings -- 4.1 Semantic Analysis the Smart Cities Media Agenda -- 4.2 Survey of Citizens' Expectations from a Smart City -- 5 Conclusion -- Acknowledgements -- References -- Crowd Sourced Monitoring in Smart Cities in the United Kingdom -- Abstract -- 1 Introduction -- 2 'Smart City', Participatory Rhombus and 'Crowd Sourced Monitoring' -- 3 Crowdsourcing Instrument-FixMyStreet -- 3.1 The Working Principle of FixMyStreet -- 3.2 The Effects of the FixMyStreet -- 4 Conclusion -- References -- General Concept of the Storage and Analytics System for Human Migration Data -- Abstract -- 1 Introduction -- 2 General Architecture of the Application Associated with Data Connected to Migration -- 3 Conceptual Modeling of System Data -- 4 Data Search and Analytic Approaches -- 5 Web Client Application -- 6 Conclusion -- Acknowledgements -- References -- Digital and Smart Services - The Application of Enterprise Architecture -- Abstract -- 1 Introduction -- 2 Enterprise Architecture in Smart City -- 3 Key Concepts Related to the Service Layer -- 3.1 Extracting Architectural Concepts -- 4 Discussion -- 5 Conclusion and Further Research -- Acknowledgements -- References -- Analysis of Special Transport Behavior Using Computer Vision Analysis of Video from Traffic Cameras -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Dataset -- 4 Method -- 4.1 Comparison of Vehicle Recognition Methods with Manual Markup -- 4.2 Design of the Detection Procedure for Oncoming Traffic -- 4.3 Design of Detect-and-Track Procedure -- 4.4 Design of Density Estimation Procedure -- 5 Results -- 6 Conclusion -- Acknowledgements -- References -- Woody Plants Area Estimation Using Ordinary Satellite Images and Deep Learning. 1 Introduction. EBL202103 XX SzGeCERN EBL Application software-Congresses BOOK Boukhanovsky, Alexander V Chugunov, Andrei V Kabanov, Yury Koltsova, Olessia https://cds.cern.ch/auth.py?r=EBLIB_P_6295486 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2757066 BOOK MIGRATED 2757060 SzGeCERN 20210421184128.0 9781441990402 electronic version electronic version 9781402077265 print version oai:cds.cern.ch:2757060 cerncds:BOOK EBL 6295428 eng QC491 .M876 2004 537.5352 Murad, Enver Mössbauer spectroscopy of environmental materials and their industrial utilization New York, NY Springer 2003 425 p ebook EBL202103 XX SzGeCERN EBL Mössbauer effect BOOK Cashion, John https://cds.cern.ch/auth.py?r=EBLIB_P_6295428 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2757060 BOOK MIGRATED 2757057 SzGeCERN 20210421184128.0 9780230524477 electronic version electronic version 9781403933966 print version oai:cds.cern.ch:2757057 cerncds:BOOK EBL 6295414 eng HC79.E5 .S744 2004 658.408 Steger, U The business of sustainability building industry cases for corporate sustainability London Palgrave Macmillan 2004 255 p ebook Cover -- Contents -- List of Tables -- List of Figures -- List of Boxes -- Acknowledgements -- Foreword -- Preface -- Part I: Building a Business Case: General Findings, Observations and Lessons Learned -- 1 Corporate Sustainability: The New Catch Phrase? -- 2 Searching for and Building a Business Case -- 3 Cross-Industry Research Findings -- 4 Assessment of the Business Case -- Part II: Industry Reports -- 5 The Automotive Industry -- 6 The Aviation Industry -- 7 The Energy Industry -- 8 The Financial Services Industry -- 9 The Food and Beverage Industry -- 10 The Pharmaceutical Industry -- Appendix 1 Environmental Issues -- Appendix 2 Social Issues -- Appendix 3 Key Terms and Management Issues -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X. EBL202103 XX SzGeCERN EBL Economic development-Environmental aspects EBL Corporations-Environmental aspects EBL Sustainable development BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6295414 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2757057 BOOK MIGRATED 2757048 SzGeCERN 20210421184128.0 9783319209012 electronic version electronic version 9783319209005 print version oai:cds.cern.ch:2757048 cerncds:BOOK EBL 6295378 eng QA76.9.H85 .H863 2015 004.019 Kurosu, Masaaki Human-computer interaction 17th international conference, HCI international 2015, Los Angeles, CA, USA, August 2-7, 2015 proceedings, part I Cham Springer International Publishing AG 2015 578 p ebook Lecture notes in computer science 9169 Intro -- Foreword -- HCI International 2015 Thematic Areas and Affiliated Conferences -- Conference Proceedings Volumes Full List -- Human-Computer Interaction -- Program Board Chair: Masaaki Kurosu, Japan -- HCI International 2016 -- Contents - Part I -- Contents - Part II -- Contents - Part III -- HCI Theory and Practice -- An Activity Theory Approach to Intuitiveness: From Artefact to Process -- Abstract -- 1 Introduction -- 2 Literature -- 2.1 Activity Theory -- 2.2 Intuitiveness and Flow -- 3 Discussion -- 4 Concluding Remarks -- 4.1 Limitations -- References -- The Closer the Better: Effects of Developer-User Proximity for Mutual Learning -- Abstract -- 1 Introduction -- 2 Literature -- 3 Case and Research Approach -- 3.1 Data Collection -- 3.2 Case Overview -- 4 Findings and Discussion -- 4.1 Theme 1: Common Goals and Visions -- 4.2 Theme 2: Organisational and Procedural Structure of Participation -- 4.3 Theme 3: Proximity for Mutual Learning -- 4.4 Theme 4: Accountability and Task Distribution -- 5 Concluding Remarks -- References -- How to Join Theoretical Concepts, Industry Needs and Innovative Technologies in HCI Courses? The Big Challenge of Teaching HCI -- Abstract -- 1 Introduction -- 2 HCI Brazilian Curricula Recommendations -- 2.1 Results of the 4th WEIHC on Proposals for HCI Syllabi -- 3 HCI in Practice -- 4 Conclusions and Future Work -- Acknowledgements -- References -- Challenges for Human-Data Interaction -- A Semiotic Perspective -- Abstract -- 1 Introduction -- 2 Characterizing the Human-Data Interaction Problem -- 3 A Semiotic Perspective on HDI -- 4 Research Challenges for HDI -- 5 Conclusion -- Acknowledgements -- References -- Relationship Between Trust and Usability in Virtual Environments: An Ongoing Study -- Abstract -- 1 Introduction -- 2 Experimental Design -- 2.1 Materials -- 2.2 Hypotheses. 2.3 Study 1 -- Desktop Virtual System -- 2.4 Study 2 -- CAVE Environment -- 2.5 Study 3 -- Flight Simulator -- 2.6 Data Analysis -- 3 Results -- 4 Discussion -- 5 Conclusion -- Acknowledgments -- References -- Cultural Issues in HCI: Challenges and Opportunities -- Abstract -- 1 Introduction -- 2 Background -- 3 Challenges in Culture and HCI -- 3.1 Future, Sustainability and Smart Cities -- 3.2 Accessibility and Digital Inclusion -- 3.3 Ubiquity, Multiple Devices and Tangibility -- 3.4 Human Values -- 3.5 HCI Education and Industry -- 3.6 Culture and Usability -- 4 Conclusion -- Acknowledgements -- References -- Biologically Inspired Artificial Endocrine System for Human Computer Interaction -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Artificial Endocrine System -- 2.2 Translation -- 3 Interaction Channels -- 3.1 Audio -- 3.2 Video -- 3.3 Text -- 4 Robot -- 5 Method -- 6 Result -- 7 Conclusion -- References -- Improving IT Security Through Security Measures: Using Our Game-Theory-Based Model of IT Security Implementation -- Abstract -- 1 Introduction -- 2 IT Security Implementation Game -- 3 Analysis of Actual IT Security Incident -- 3.1 Analysis Method -- 3.2 Actual IT Security Incident -- 4 Examination on Improving IT Security Implementation in an Organization -- 4.1 Extending Password Change Period -- 4.2 Increasing Penalty -- 4.3 Extending Password Change Period and Using Encryption Software -- 5 Order of Security Measures -- 5.1 Changing Organization State by Changing Parameters -- 5.2 Promotion Order of Two Security Measures -- 6 Summary -- 7 Limitations and Future Work -- References -- A Psychological Approach to Information Security -- Abstract -- 1 Introduction -- 2 Information Assets -- 2.1 Definition of Information Assets -- 2.2 Attacks of Deception Against Information Assets -- 3 Basic Model of the Deception. 4 Some Cases for Social Engineering -- 5 Psychological Findings Used in Social Engineering -- 5.1 Six Weapons of Influence -- 5.2 Elicitation -- 5.3 Environmental Criminology -- 6 Education and Training -- 6.1 Education, Training, and Awareness -- 6.2 Gamification -- 7 Conclusion -- Acknowledgements -- References -- Cross-Over Study of Time Perception and Interface Design -- Abstract -- 1 Program Illustration -- 1.1 Study Context -- 1.2 Research Objectives -- 2 Psychological Mechanism of Time Experience -- 2.1 Generation and Operation of Time Perception -- 2.2 The Interacting of Time Perception and Emotion -- 2.3 Impacts of Time Perception on Emotions -- 3 Product Carriers -- 3.1 Timekeeping Devices -- 3.2 Indirectly Time Indicators -- 4 Experimental Research -- 4.1 Red Traffic Light Experiments -- 4.2 Brief Instruction of Calendar Experiment -- 5 Conclusion -- References -- HCI Design and Evaluation Methods and Tools -- Guidelines to Integrate Professional, Personal and Social Context in Interaction Design Process: Studies in Healthcare Environment -- Abstract -- 1 Introduction -- 2 Contextualization -- 3 Interaction Design Process and the Experiments in Healthcare -- 4 Guidelines and Discussion -- 4.1 Guidelines to Integrating User's Context Domain -- 4.2 Guidelines to Extending User's Abilities Domain -- 5 Conclusion -- Acknowledgments -- References -- Practices, Technologies, and Challenges of Constructing and Programming Physical Interactive Prototypes -- Abstract -- 1 Introduction -- 2 Background -- 3 Methodology -- 4 Results -- 4.1 Gathering Online Data -- 4.2 Making Components Communicate -- 5 Discussion -- 6 Conclusion -- Acknowledgements -- References -- ISO 9241-11 Revised: What Have We Learnt About Usability Since 1998? -- Abstract -- 1 Origins of ISO 9241-11 -- 2 What Have We Learnt About Usability Since 1998?. 2.1 It Is Important to Understand the User's Experience -- 2.2 There Is More to Usability Evaluation Than Usability Measurement -- 2.3 Avoidance of Negative Outcomes -- 3 The New Version of ISO 9241-11 -- 3.1 Requests for Changes and Feedback -- 3.2 Changes Made in the New Draft -- 3.3 Additional Proposed Changes -- 3.4 Related Concepts -- 4 Contributing to the Development of ISO 9241-11 -- Acknowledgements -- References -- Incorporating Marketing Strategies to Improve Usability Assurance in User-Centered Design Processes -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Proposal of Marketing Activities and Integration in a User-Centered Process Model -- 3.1 Integration Framework -- 3.2 Process Model -- 3.3 Activity Groupings -- 3.4 Methods and Technics -- 4 Conclusions -- Acknowledgements -- References -- Communication of Design Decisions and Usability Issues: A Protocol Based on Personas and Nielsen's Heuristics -- Abstract -- 1 Introduction -- 2 Research Approach -- 3 Understanding Practice -- 3.1 Evangelizing Usability -- 3.2 Interviewing Participants of the Workshop -- 3.3 Findings -- 4 Deliberate Improvements: The Protocol Elaboration -- 5 Implement and Observe Improvements: Usability Testing and Protocol -- 5.1 First Case Study -- 5.2 Second Case Study -- 5.3 Lessons Learned -- 6 Conclusion and Further Work -- References -- Web-Systems Remote Usability Tests and Their Participant Recruitment -- Abstract -- 1 Introduction -- 2 Hybrid Method Implementation -- 3 The Experiment -- 4 Results of the Experiment -- 5 Summary and Future Work -- Acknowledgements -- References -- User Experience Evaluation Towards Cooperative Brain-Robot Interaction -- Abstract -- 1 Introduction -- 2 Related Works -- 3 UX Impact on BRI -- 4 Approach -- 4.1 Non-invasive Emotiv BCI Apparatus -- 4.2 Simulation Design -- 5 Results -- 6 Discussion -- 7 Conclusion. References -- Analysis of Factors Influencing the Satisfaction of the Usability Evaluations in Smartphone Applications -- Abstract -- 1 Introduction -- 2 Usability Evaluation of Smartphone Application -- 2.1 The Stress Measurement Application Overview -- 2.2 Method of Usability Evaluation -- 2.3 Contents of Usability Evaluation -- 2.4 Results -- 3 Discussion -- 4 Conclusion -- References -- The Definition and Use of Personas in the Design of Technologies for Informal Caregivers -- Abstract -- 1 Introduction -- 2 Related Research -- 3 Methodology -- 4 Personas Definition and Its Impacts upon Design Decisions -- 4.1 Person-Related Characteristics -- 4.2 Care-Related Characteristics -- 4.3 Context-Related Characteristics -- 5 Conclusion -- Acknowledgements -- References -- An Interaction Design Method to Support the Expression of User Intentions in Collaborative Systems -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Pragmatic Web and Users' Intention Expression -- 2.2 Methodological and Theoretical Framework -- 3 The InDIE Method -- 4 A Case Study on Software Development Forums -- 4.1 Context, Subjects, and Methodology -- 4.2 Results and Discussion -- 5 Conclusion -- References -- Usability, Quality in Use and the Model of Quality Characteristics -- Abstract -- 1 Introduction -- 2 Historical Review of Usability -- 2.1 Shackel and Richardson -- 2.2 Nielsen -- 2.3 ISO9241-11 -- 2.4 Kurosu-1 -- 2.5 ISO9241-210 -- 3 Subjective Quality Characteristics -- 3.1 Jordan -- 3.2 Hassenzahl -- 3.3 Kurosu-2 -- 3.4 Satisfaction -- 3.5 Kano's Theory of Attractive Quality -- 3.6 Usability and Utility -- 4 Quality in Use -- 4.1 ISO/IEC9126-1 -- 4.2 ISO/IEC25010 -- 5 A Model of Quality Characteristics -- 5.1 Kurosu-3 -- 5.2 Relationship to the UX -- 6 Discussion -- References -- Creating Personas to Reuse on Diversified Projects -- 1 Introduction. 2 Creating Personas. EBL202103 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6295378 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2757048 BOOK MIGRATED 2757026 SzGeCERN 20210421184129.0 9789401791366 electronic version electronic version 9789401791359 print version oai:cds.cern.ch:2757026 cerncds:BOOK EBL 6295249 eng HD30.2 .I477 2014 658.4038 Teodorescu, Horia-Nicolai Improving disaster resilience and mitigation - IT means and tools Dordrecht Springer 2014 350 p ebook NATO science for peace and security series. C, environmental security Intro -- Preface -- Acknowledgements -- Contents -- Contributors -- Part I Fundamentals and Modeling -- 1 Survey of IC&amp -- T in Disaster Mitigation and Disaster Situation Management -- 1.1 The Role of IT&amp -- C in Disaster Areas and the International Regulatory Framework -- 1.2 Disasters: Overview of Definitions and Classifications, and Their Impact on IT&amp -- C for Disaster Mitigation -- 1.3 Legal and Political Dimension of Disasters -- 1.3.1 Emotional Dimension of Disasters -- 1.4 Human Life Loss Dimension -- 1.4.1 Social Dimension -- 1.4.2 Economic Dimension -- 1.4.3 Conclusions on the Definition -- 1.5 Resilience and Robustness at Large (Society) -- 1.5.1 Roles of IT&amp -- C in Disaster Mitigation and Related Requirements -- 1.5.2 Resilience and Robustness of IT&amp -- C -- 1.6 Conclusions -- References -- 2 Organizations Under Siege: Innovative Adaptive Behaviors in Work Organizations -- 2.1 Introduction -- 2.1.1 Unusual Events -- 2.1.2 Organizational Continuity -- 2.1.3 Disasters and Work Organizations -- 2.1.4 Behavior in Organizations During Disasters -- 2.2 Working Model -- 2.3 Strategy -- 2.4 Methods -- 2.4.1 Data Sources -- 2.4.2 Measures -- 2.4.2.1 Dependent Variable -- 2.4.2.2 Perception of Continuity -- 2.4.2.3 Independent Variables -- 2.5 Results -- 2.5.1 Individual Level Analysis -- 2.5.1.1 Innovative Adaptive Behavior -- 2.5.2 Organizational Level Analysis -- 2.6 Summary and Conclusions -- References -- 3 Risk Perception and Communication -- 3.1 What Is Risk Perception/Communication Science? -- 3.1.1 Risk Perception Studies -- 3.1.2 Risk Acceptance as Complex Phenomenon -- 3.1.3 Risk Communication as Emerging Discipline -- 3.2 Devising Effective Risk Communications -- 3.2.1 Trust-Building -- 3.2.2 State of the Art Risk Communication -- 3.2.3 Buncefield Explosion Case -- 3.3 Conclusion and Recommendations -- References. 4 Establishing Social Resilience with (Public-Private Partnership)-Based BCM (Business Continuity Management) -- 4.1 Introduction -- 4.2 Quick Review of the Great East Japan Earthquake with Regional BCM Point of View -- 4.2.1 The Chain-Failures Through Dependencies -- 4.2.2 Spread Damages Through Major Supply Chains and Realized Concentration Risks -- 4.2.3 Lessons Learnt and Challenges for the Next Steps -- 4.3 Importance of the Community-Based BCM and PPP (Public/Private Partnerships) -- 4.3.1 Increasing Interdependencies of Our Society -- 4.3.2 Emerging Needs for Expanding the Scope of BCP and the Role of PPP -- 4.3.2.1 Expanding BCP Scope in the Public Sector -- 4.3.2.2 Local Agencies -- 4.3.2.3 Local Community -- 4.3.2.4 Central Government and Agencies -- 4.3.2.5 Neighboring Local Governments -- 4.3.2.6 Expanding BCM Scope in the Private Sector -- 4.3.2.7 Corporate Groups -- 4.3.2.8 Supply Chain -- 4.3.2.9 Industry -- 4.3.2.10 Local Community -- 4.3.3 Local Community as an Interface Between Public and Private Sector Business Continuity Management -- 4.4 Economical Incentives for BCM Promotion Driver -- 4.4.1 Financial Incentives -- 4.5 Conclusions -- References -- 5 A Model for the Spatio-temporal Distribution of Population Using Country-Wide Statistical Data and Its Application to the Estimation of Human Exposure to Disasters -- 5.1 Introduction -- 5.2 Outline of the Model -- 5.2.1 Times of Routine Action t1 and t4 -- 5.2.2 Commutation Route and Time TC -- 5.3 Day-Long Movement of Commuters in the Keihanshin Metropolitan Area -- 5.4 Effect of Traffic Disorder in the Event of an Anticipated Earthquake in the Keihanshin Metropolitan Area -- 5.4.1 Cases Studied -- 5.4.2 Estimation Results -- 5.5 Conclusions -- References -- 6 From Noise to Knowledge: Smart City-Responses to Disruption -- 6.1 Smart Cities as Disaster-Resilient Cities. 6.2 Cities as Systems of Systems -- 6.3 Cities as Positive Feedback Systems -- 6.4 Noise-Based Model for Disaster -- 6.5 Knowledge Strategies Towards Urban Disaster Resilience -- 6.5.1 Noise Intelligence -- 6.5.2 Disaster Creativity -- 6.5.3 Noise to Knowledge -- 6.6 Conclusions -- References -- 7 Challenges of Image-Based Crowd-Sourcing for Situation Awareness in Disaster Management -- 7.1 Introduction -- 7.2 Related Works: Context -- 7.3 Proposal Overview -- 7.3.1 General System Vision -- 7.3.2 Foreseen Advantages -- 7.3.3 Assumptions and Challenges -- 7.4 Challenges -- 7.4.1 Geo-Referencing Images -- 7.4.2 Spatio-Temporal Models in Presence of Uncertainty -- 7.4.3 Analysis and Visualization Issues -- 7.4.4 Ethics and Legal Issues -- 7.5 Conclusions -- References -- 8 Foresight and Forecast for Prevention, Mitigation and Recovering after Social, Technical and EnvironmentalDisasters -- 8.1 Introduction -- 8.2 Application of Modern Forecasting Techniques -- 8.2.1 Adaptive Regression Analysis Approach -- 8.2.2 Kalman Filtering -- 8.2.3 Bayesian Networks -- 8.2.4 Hidden Markov Model -- 8.2.5 Group Method for Data Handling -- 8.2.6 Generalized Linear Models -- 8.2.7 Combination of Forecasts -- 8.3 The Foresight System Methodology -- 8.3.1 The Foresight Importance and Goals -- 8.3.2 Expert Estimations Based on Modified Delphi Method -- 8.3.3 Scenario Analysis Using Morphological Models -- 8.3.4 Hierarchy-Based Qualitative Analysis -- 8.4 Modelling and Technologies for Restoration of Oil Polluted Soils and Water Bodies -- 8.4.1 Integrated Tools Set of Modelling and Microbiological Technologies for Restoration of Oil-Polluted Soils and Water Bodies -- 8.5 Foresight and Early Prediction of Social Negative Trends, Abnormal Situations and Disasters Based on Social Media Analysis -- References -- 9 Disaster Early Warning and Relief: A Human-CenteredApproach. 9.1 Introduction -- 9.2 An Evolvable Vocabulary for Warnings, Needs and Services -- 9.3 Earthquake Early Warning System -- 9.3.1 Interactive Early Warning -- 9.3.1.1 Recent Seismic Activity Report Module -- 9.3.1.2 Earthquake and Tsunami Early Warning -- 9.3.1.3 Emergency Services Module -- 9.4 Need/Offer Matching -- 9.4.1 The Matcher -- 9.4.2 Spatio-temporal Analytics Module (SAM) -- 9.5 Trustworthiness and Reputation Manager (T&amp -- R Manager) -- 9.6 Conclusions -- References -- 10 Expert Systems for Assessing Disaster Impacton the Environment -- 10.1 Introduction -- 10.2 Mathematical Model of Toxic Gas Dispersionin the Atmosphere -- 10.3 Hydrodynamic Model -- 10.3.1 SubModel 1. Evaporation of Toxic Substance from the Soil After Spillage -- 10.3.2 SubModel 2. Air Pollution in the Room in the Case of Toxic Gas Infiltration Through the Ventilation System (Windows) -- 10.4 Numerical Model -- 10.5 Results of Numerical Simulation -- 10.6 Conclusions -- References -- 11 Fuzzy Logic and Data Mining in Disaster Mitigation -- 11.1 Introduction -- 11.2 Uncertainty in Disaster Mitigation and Management -- 11.2.1 Unknown Unknowns and Known Unknowns -- 11.2.2 Preparedness and Real Time Ramification -- 11.3 Tools for Predictions and Evaluations of Fuzzy Events -- 11.3.1 Making Decisions with No Data -- 11.3.2 Fuzzy Expectations -- 11.3.3 Fuzzy Relational Databases and Fuzzy Social Network Architecture -- 11.3.4 Complex Fuzzy Membership Grade -- 11.3.4.1 Complex Fuzzy Class -- 11.3.5 Neuro-Fuzzy Systems -- 11.3.6 Incremental Fuzzy Clustering -- 11.4 Conclusions -- References -- 12 Decision Support to Build in Landslide-Prone Areas -- 12.1 Resilience to Disaster in the Context of Landslide Events -- 12.2 Rock Mass Instability: Landslides. 12.3 Landslide Management: Awareness, Prevention, Real Time Action, Post-event Recovery, the Improvement of Existing Management -- 12.4 Decision Support to Build in Landslide Prone Areas in Romania: Case Study -- 12.5 The Role of the Neuronal Networks in Slope Stability Pre-dictions -- 12.6 Conclusions Regarding Urban Planning Decisions in Landslide Prone Areas -- References -- Part II Tools and Applications -- 13 Mitigation using Emergent Technologies -- 13.1 Introduction -- 13.2 Related Work -- 13.3 Architecture of the ABC Routing System -- 13.3.1 Centralized or Decentralized Systems -- 13.3.2 Street Network -- 13.4 Icon Language -- 13.4.1 The Concept-Based Visual Language -- 13.5 Emotion in Text and Speech -- 13.6 Ant Based Routing -- 13.6.1 Updating Routing Tables -- 13.7 Experiments -- 13.7.1 Experiment 1 -- 13.7.2 Experiment 2 -- 13.7.3 Experiment 3 -- 13.8 Summary and Conclusion -- References -- 14 Geographic Information for DisasterManagement - An Overview -- 14.1 Introduction and Overview -- 14.2 Basics of Geographic Information -- 14.2.1 Geographic Information and Geographic Information Systems -- 14.2.1.1 Geographic Data -- 14.2.1.2 Geographic Information System -- 14.2.2 Geo Web Services -- 14.3 Use of Geographic Information in Disaster Management -- 14.3.1 Phases in Disaster Management -- 14.3.2 Examples of Geographic Information UsedWithin DM Phases -- 14.3.3 Geographic Information and Simulation -- 14.3.4 Geographic Information and Crowd Sourcing -- 14.4 The Project TranSAFE-Alp -- 14.5 Conclusions -- References -- 15 The Potential of Cloud Computing for Analysis and Finding Solutions in Disasters -- 15.1 Introduction -- 15.2 Related Work -- 15.3 Cloud Service for Disaster Management -- 15.3.1 A Possible Architecture for Cloud Services Used in Disasters -- 15.3.2 Case Study - Tsunami Earthquake. 15.4 Cloud Services Based on Data Mining. EBL202103 XX SzGeCERN BOOK Kirschenbaum, Alan Cojocaru, Svetlana Bruderlein, Claude https://cds.cern.ch/auth.py?r=EBLIB_P_6295249 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2757026 BOOK MIGRATED 2756996 SzGeCERN 20210421184131.0 9783319458236 electronic version electronic version 9783319458229 print version oai:cds.cern.ch:2756996 cerncds:BOOK EBL 6295066 eng H363 .H363 2016 004.35 Handl, Julia Parallel problem solving from nature - PPSN XIV 14th international conference, Edinburgh, UK, September 17-21, 2016, proceedings Cham Springer International Publishing AG 2016 1033 p ebook Lecture notes in computer science 9921 Intro -- Preface -- Organization -- Contents -- Adaptation, Self-adaptation and Parameter Tuning -- Online Model Selection for Restricted Covariance Matrix Adaptation -- 1 Introduction -- 2 VkD-CMA -- 3 Adaptive Covariance Model Selection -- 4 Experiments -- 5 Discussion -- References -- Genotype Regulation by Self-modifying Instruction-Based Development on Cellular Automata -- 1 Introduction -- 2 Background -- 2.1 Instruction Based Development -- 2.2 Scalability and Modularity -- 2.3 Self-modifying Instrucion Based Developement -- 3 Experimental Setup -- 4 Results and Analysis -- 4.1 Development -- 4.2 Replication -- 4.3 Development and Replication -- 4.4 Re-evolution -- 5 Conclusions and Future Work -- References -- Evolution Under Strong Noise: A Self-Adaptive Evolution Strategy Can Reach the Lower Performance Bound - The pcCMSA-ES -- 1 Introduction -- 2 Stagnation Detection by Use of Linear Regression Analysis -- 3 The pcCMSA-ES Algorithm -- 4 Experimental Investigations and Discussion -- 5 Summary and Outlook -- References -- An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem -- Abstract -- 1 Introduction -- 2 Formulation of SPSP -- 3 The Evolutionary Hyper-heuristic -- 3.1 Hyper-heuristic Framework -- 3.2 Adaptive Operator Selection -- 3.3 The Low-Level Heuristics Pool -- 4 Experimental Study -- 5 Conclusions -- Acknowledgements -- References -- The Multiple Insertion Pyramid: A Fast Parameter-Less Population Scheme -- 1 Introduction -- 2 Background -- 2.1 Gene-Pool Optimal Mixing Evolutionary Algorithm -- 2.2 Exponential Population Scheme -- 2.3 Parameter-Less Population Pyramid -- 3 Multiple Insertion Pyramid -- 3.1 Visualizing Population Schemes -- 3.2 Multiple Insertion -- 4 Experimental Results -- 5 Conclusion -- References -- Doubly Trained Evolution Control for the Surrogate CMA-ES -- 1 Introduction. 2 Surrogate CMA-ES and Generation Evolution Control -- 3 Doubly Trained Evolution Control for the S-CMA-ES -- 3.1 Uncertainty Criteria -- 4 Experimental Evaluation -- 4.1 Experimental Setup -- 4.2 Results -- 5 Conclusion and Future Work -- References -- Efficient Global Optimization with Indefinite Kernels -- 1 Introduction -- 2 Terms and Definitions -- 3 Handling Indefinite Kernels -- 3.1 Spectrum Transformation: Kernel -- 3.2 Spectrum Transformation: Distance -- 3.3 Spectrum Transformations: Condition-Repair -- 3.4 Nearest Matrix Approach -- 3.5 Feature Embedding -- 4 Experimental Setup -- 5 Observations and Discussion -- 6 Conclusions and Outlook -- References -- A Fitness Cloud Model for Adaptive Metaheuristic Selection Methods -- 1 Introduction -- 2 Fitness Cloud Model and Theoretical Analysis -- 2.1 Model Definition -- 2.2 Definition of a Simple Scenario with Two Fitness Ranges -- 2.3 Theoretical Insights -- 3 Experimental Analysis of Adaptive Selection Strategies -- 3.1 Experimental Design -- 3.2 Empirical Analysis -- 4 Conclusion -- References -- A Study of the Performance of Self-Memetic Algorithms on Heterogeneous Ephemeral Environments -- 1 Introduction -- 2 Materials and Methods -- 2.1 Basic Algorithmic Setting -- 2.2 Self-Properties -- 2.3 Environmental Model -- 3 Experimental Analysis -- 4 Conclusions -- References -- Lyapunov Design of a Simple Step-Size Adaptation Strategy Based on Success -- 1 Introduction -- 2 Literature Review -- 3 The Proposed ES -- 4 Theoretical Background -- 5 Convergence Rate Analysis -- 6 Conclusions -- References -- Differential Evolution and Swarm Intelligence -- TADE: Tight Adaptive Differential Evolution -- 1 Introduction -- 2 Differential Evolution -- 3 TADE -- 4 Experiments -- 4.1 Settings -- 4.2 Comparison and Analysis -- 4.3 Rationality of Our Tight Design -- 5 Conclusion and Future Work -- References. An Extension of Algebraic Differential Evolution for the Linear Ordering Problem with Cumulative Costs -- 1 Introduction and Related Work -- 2 Algebraic Differential Evolution for Permutations -- 3 Exchange and Insertion Based Generating Sets -- 3.1 RandSS -- 3.2 RandIS -- 4 Extended Differential Mutation -- 5 Other Algorithmic Components -- 6 Experiments -- 7 Conclusion and Future Work -- References -- Analysing the Performance of Migrating Birds Optimisation Approaches for Large Scale Continuous Problems -- 1 Introduction -- 2 Schemes Based on Migrating Birds Optimisation for Continuous Problems -- 2.1 Migrating Birds Optimisation -- 2.2 Multi-leader Migrating Birds Optimisation -- 2.3 Neighbour Generating Operator Based on Differential Evolution -- 3 Experimental Evaluation -- 4 Conclusions and Future Work -- References -- How Far Are We from an Optimal, Adaptive DE? -- 1 Introduction -- 2 The Proposed GAO Framework for Adaptive DEs -- 2.1 Optimal Parameter Adaptation Process * -- 2.2 Approximating an Optimal Adaptation Process * -- 3 Evaluating the Proposed GAO Framework -- 3.1 Experiment 1: How Much Room Is There for Improvement with Adaptive DE Algorithms with the rand/1/bin Operator? -- 3.2 Experiment 2: How Should We Adapt the Control Parameters? -- 4 Comparing GAODE with State-of-the-Art EAs -- 5 Conclusion -- References -- Feature Based Algorithm Configuration: A Case Study with Differential Evolution -- 1 Introduction -- 2 Algorithm Configuration with an Empirical Performance Model -- 3 Features for Continuous Optimization -- 4 A Case Study in Continuous Domain: DE on BBOB -- 5 Experiments -- 6 Results -- 6.1 EPM Analyses -- 6.2 Empirical Optimal Configurations at Work -- 6.3 Discussion -- 7 Conclusion -- References -- An Asynchronous and Steady State Update Strategy for the Particle Swarm Optimization Algorithm -- Abstract. 1 Introduction -- 2 Synchronous and Asynchronous Particle Swarms -- 3 From a Model of Co-evolution to the Steady State PSO -- 4 Experiments and Results -- 5 Conclusions and Future Work -- Acknowledgements -- References -- Dynamic, Uncertain and Constrained Environments -- Augmented Lagrangian Constraint Handling for CMA-ES --- Case of a Single Linear Constraint -- 1 Introduction -- 2 Augmented Lagrangian Methods -- 3 A General Framework for Adaptive Augmented Lagrangian Constraint Handling -- 3.1 The (/w,)-MSR-CMA-ES with Adaptive Augmented Lagrangian -- 4 Empirical Results -- 5 Discussion -- References -- An Active-Set Evolution Strategy for Optimization with Known Constraints -- 1 Introduction -- 2 Problem and Algorithm -- 3 Evaluation and Discussion -- 4 Conclusions -- References -- Speciated Evolutionary Algorithm for Dynamic Constrained Optimisation -- 1 Introduction -- 2 Related Work -- 3 The Proposed Method -- 4 Experimental Studies -- 4.1 Experimental Setup -- 4.2 Comparison Results with Existing Algorithms -- 4.3 The Performance Effect of AM, LS and Different Dynamics -- 5 Conclusion and Future Work -- References -- On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization -- 1 Introduction -- 2 Approaches to Handle Infeasible Solutions -- 3 Numerical Experiments -- 4 Conclusions and Future Research -- References -- Artificially Inducing Environmental Changes in Evolutionary Dynamic Optimization -- 1 Introduction -- 2 DOP Benchmark Generator -- 2.1 DOP Type 1: DOP with Permutation -- 2.2 DOP Type 2: Copying Decision Variables -- 2.3 DOP Type 3: Adding Fitness Deviation by a Set of Templates -- 3 Framework for Inducing Environmental Changes -- 3.1 Framework -- 3.2 DOP Types -- 3.3 Algorithms -- 4 Experiments -- 4.1 Experimental Design -- 4.2 Experimental Results -- 5 Conclusions -- References. Efficient Sampling When Searching for Robust Solutions -- 1 Introduction -- 2 Proposed Method -- 3 Numerical Experiments -- 3.1 Test Functions -- 3.2 Evolutionary Algorithm -- 3.3 Final Solution Selection and Performance Measure -- 3.4 Target Samples Generation -- 3.5 Experimental Setup -- 3.6 Results on Convergence Rate and Average Approximation Error -- 3.7 Influence of the Target Sample Generation Mechanism -- 4 Conclusion -- References -- Genetic Programming -- Optimising Quantisation Noise in Energy Measurement -- 1 Introduction -- 2 Directly Connected Monitor -- 3 Distributed Power Measurement -- 4 Maximising Beneficial Mutation Detection Rate -- 5 Discussion and Conclusions -- References -- Syntactical Similarity Learning by Means of Grammatical Evolution -- 1 Introduction and Related Work -- 1.1 Problem Statement -- 2 Our Approach -- 2.1 Search Space and Solution Quality -- 2.2 Virtual Machine -- 3 Experimental Evaluation -- 4 Concluding Remarks -- References -- Hierarchical Knowledge in Self-Improving Grammar-Based Genetic Programming -- 1 Introduction -- 2 Related Works -- 3 Deceptive Royal Tree Problem -- 4 Grammar Model -- 5 System Architecture -- 5.1 Derivation of a Parse Tree -- 5.2 Production Rules Discovery and Extraction -- 6 Evaluation -- 7 Discussion and Conclusion -- References -- Parallel Hierarchical Evolution of String Library Functions -- 1 Introduction -- 2 HERCL Enhancements -- 3 String Processing Experiments -- 4 Postfix Calculator -- 5 Conclusion and Further Work -- References -- On the Non-uniform Redundancy in Grammatical Evolution -- 1 Introduction -- 2 Bias and Redundant Representations -- 3 Bias of Representation in Grammatical Evolution -- 4 Analysis and Results -- 5 Conclusions -- References -- Tournament Selection Based on Statistical Test in Genetic Programming -- 1 Introduction -- 2 Related Work -- 3 Methods. 4 Experimental Settings. EBL202103 XX SzGeCERN EBL Algorithms EBL Artificial intelligence BOOK Hart, Emma Lewis, Peter R López-Ibáñez, Manuel Ochoa, Gabriela Paechter, Ben https://cds.cern.ch/auth.py?r=EBLIB_P_6295066 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2756996 BOOK MIGRATED 2756973 SzGeCERN 20210421184132.0 9783319209043 electronic version electronic version 9783319209036 print version oai:cds.cern.ch:2756973 cerncds:BOOK EBL 6294823 eng TA1634 .C667 2015 006.37 Nalpantidis, Lazaros Computer vision systems 10th international conference, ICVS 2015, Copenhagen, Denmark, July 6-9, 2015, proceedings Cham Springer International Publishing AG 2015 551 p ebook Lecture notes in computer science 9163 Intro -- Preface -- Organization -- Contents -- Biological and Cognitive Vision -- Comparison of Statistical Features for Medical Colour Image Classification -- 1 Introduction -- 2 Background -- 3 System Design -- 4 Experimental Evaluation -- 5 Conclusion -- References -- Improving FREAK Descriptor for Image Classification -- 1 Introduction -- 2 Method -- 2.1 Retinal Ganglion Cells Configuration -- 2.2 Retinal Inspired Descriptors -- 2.3 BOW Approach for Scene Categorization -- 3 Performance Evaluation -- 4 Conclusions -- References -- Arabic-Latin Offline Signature Recognition Based on Shape Context Descriptor -- Abstract -- 1 Introduction -- 2 Arabic--Latin Offline Signature Recognition -- 3 Using Shape Context for Signature Recognition -- 3.1 Edge Detection -- 3.2 Computing the Signature Context -- 3.3 Computing the Cost Matrix -- 3.4 Computing the Shape Distance -- 4 Extended Signature Context Matching Algorithm -- 4.1 Training Phase -- 4.2 Matching Phase -- 5 Experimental Results -- 6 Conclusions and Future Work -- References -- Saliency-Guided Object Candidates Based on Gestalt Principles -- 1 Introduction -- 2 System Overview -- 2.1 Saliency Computation -- 2.2 Graph Representation -- 2.3 Candidate Generation Process -- 2.4 Candidate Ranking Using Gestalt Measurements -- 3 Training, Evaluation and Results -- 3.1 Parameter Evaluation -- 3.2 Comparison to Other Methods -- 4 Conclusion -- References -- Person Re-identification Based on Multi-directional Saliency Metric Learning -- Abstract -- 1 Introduction -- 2 Person Re-identification Based on Multi-directional Saliency Metric Learning -- 2.1 Multi-directional Salience Analysis -- 2.2 Similarity Based on Multi-directional Salience -- 2.3 Multi-directional Saliency Weight Learning -- 3 Multi-Salience Fusion -- 4 Experimental Results -- 5 Conclusion -- Acknowledgement -- References. Sleep Pose Recognition in an ICU Using Multimodal Data and Environmental Feedback -- 1 Introduction -- 2 System Description -- 2.1 Data Collection -- 2.2 Feature Extraction -- 3 Multimodal Classification with Trust -- 3.1 Trust Estimation -- 3.2 Multimodal Formulation -- 4 Experiments -- 5 Discussion -- 5.1 Conclusion -- 6 Future Work -- References -- Hardware-Implemented and Real-Time Vision Systems -- A Flexible High-Resolution Real-Time Low-Power Stereo Vision Engine -- 1 Introduction -- 2 Related Work -- 2.1 Embedded Stereo Systems -- 2.2 Reduced Search Space Techniques -- 3 System Design -- 4 FPGA Implementation -- 4.1 Hardware Platform -- 4.2 SGM Implementation -- 5 Results -- 5.1 Hardware Performance Results -- 5.2 KITTI Results -- 5.3 Ground Truth Stixel Dataset Results -- 6 Conclusions and Future Work -- References -- Real Time Vision System for Obstacle Detection and Localization on FPGA -- 1 Introduction -- 2 Theoretical Background -- 2.1 Inverse Perspective Mapping -- 2.2 Segmentation of Obstacles -- 2.3 Bird's-Eye Transformation -- 2.4 Obstacle Localization -- 3 Hardware Design -- 3.1 Homography and Bird's Eye Transformation -- 3.2 IPM and Binarization -- 3.3 Localization -- 4 Discussion and Results -- 5 Conclusion -- References -- Bayesian Formulation of Gradient Orientation Matching -- 1 Introduction -- 2 Gradient Distribution -- 2.1 Simulations -- 2.2 Measurements -- 3 Application -- 3.1 Background Modelling -- 3.2 Foreground Extraction -- 4 Experiments -- 4.1 Wallflower -- 4.2 Change Detection Video Database -- 4.3 Detecting Swimmers -- 5 Conclusions -- References -- Can Speedup Assist Accuracy? An On-Board GPU-Accelerated Image Georeference Method for UAVs -- 1 Introduction -- 2 Proposed Method -- 2.1 DEMs Fusion -- 2.2 Mathematical Foundation and Error Reduction -- 3 GPU Implementation -- 4 Experimental Results -- 4.1 Simulation. 4.2 CPU Vs GPU - Time Performance Comparison -- 4.3 GPU Implementation - Accuracy Evaluation -- 5 Conclusions -- References -- High-Level Vision -- Surface Reconstruction from Intensity Image Using Illumination Model Based Morphable Modeling -- 1 Introduction -- 2 3D Reconstruction Method -- 2.1 Basic Illumination Model -- 2.2 Handling Issues Caused by Lighting Condition and Material -- 2.3 Reconstruction Using Sign Matrix -- 3 Reconstruction of Surface Details -- 4 Self-Organizing Maps -- 5 Experiments -- 5.1 Benchmark Datasets -- 5.2 Images in the Wild -- 6 Conclusions and Future Work -- References -- Learning Appearance Features for Pain Detection Using the UNBC-McMaster Shoulder Pain Expression Archive Database -- 1 Introduction -- 2 Approach -- 2.1 Image Registration -- 2.2 Preprocessing -- 2.3 Discriminative Feature Extractor -- 2.4 Classification -- 3 Experiments and Results -- 4 Discussion -- References -- How Good Is Kernel Descriptor on Depth Motion Map for Action Recognition -- 1 Introduction -- 2 Related Works -- 3 Proposed Approach -- 3.1 General Framework -- 3.2 Depth Motion Map -- 3.3 Gradient Based Kernel Descriptor -- 3.4 Action Classification -- 4 Experimental Results -- 4.1 MRSAction3D Dataset -- 4.2 MSRGesture3D Dataset -- 4.3 Analysis -- 5 Conclusion -- References -- An Informative Logistic Regression for Cross-Domain Image Classification -- 1 Introduction -- 2 Related Work -- 3 A Novel Logistic Regression for Cross-Domain Image Classification -- 3.1 Logistic Regression -- 3.2 Maximum Variance -- 3.3 Model for Cross-Domain Image Classification -- 3.4 Parameter Estimation -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 4.3 Discussion -- 5 Conclusion -- References -- Robust Facial Feature Localization using Data-Driven Semi-supervised Learning Approach -- Abstract -- 1 Introduction. 2 Overview of the Approach -- 3 Hierarchical Data Model -- 4 Hybrid Detector -- 4.1 Outlier-Aware Hybrid Detector -- 4.2 Hierarchical Outlier Suppression -- 4.3 Optimization -- 5 Data-Driven Semi-supervised Learning -- 5.1 Semi-Labeled Dataset Update -- 6 Experimental Results -- 6.1 Performance Evaluation -- 7 Conclusion -- References -- Quantitative Analysis of Surface Reconstruction Accuracy Achievable with the TSDF Representation -- 1 Introduction -- 2 Theory -- 3 Dataset -- 4 Experiments and Discussion -- 4.1 Influence of Distance to Surface -- 4.2 Influence of Viewing Angle -- 4.3 Influence of Distance and Resolutions for More Detailed Objects -- 4.4 Influence of Resolutions for Sequences with Arbitrary Distances and Movement -- 4.5 Influence of Times of View -- 4.6 Qualitative Analysis -- 5 Conclusion -- References -- Learning and Adaptation -- An Online Adaptive Fuzzy Clustering and Its Application for Background Suppression -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 The Fuzzy Membership zt,k,j -- 3.2 The Parameter t = { t,k,j,t,k,j,l,t,j,l,k2} -- 4 Experiments -- 5 Relation to Prior Works and Conclusions -- References -- Object Detection and Terrain Classification in Agricultural Fields Using 3D Lidar Data -- 1 Introduction -- 2 Approach -- 2.1 Preprocessing -- 2.2 Feature Extraction -- 2.3 Classification -- 3 Experiments and Results -- 4 Discussion -- 5 Conclusion -- References -- Enhanced Residual Orientation for Improving Fingerprint Quality -- Abstract -- 1 Introduction -- 2 Proposed System -- 3 Fingerprint Fuzzy Detection -- 4 Experimental Result and Discussion -- 5 Conclusion -- Acknowledgment -- References -- Learning Human Priors for Task-Constrained Grasping -- 1 Introduction -- 2 Methodology -- 2.1 Metric Learning for Feature And Transfer-Selection -- 2.2 Features -- 2.3 Grasp Synthesis -- 3 Experiments. 3.1 Data Collection -- 3.2 Learning -- 3.3 Feature Selection -- 3.4 Grasping -- 4 Conclusion -- References -- Region-of-Interest Retrieval in Large Image Datasets with Voronoi VLAD -- 1 Introduction -- 2 Background and Related Work -- 2.1 VLAD -- 2.2 Multi-VLAD -- 3 Proposed Voronoi-Based VLAD and its Fast Variant -- 3.1 VVLAD Encoding -- 3.2 Adaptive Search for Fast-VVLAD and Image Score -- 3.3 Level Projection for VVLAD Storage Compaction -- 4 Experimental Evaluation -- 4.1 Datasets and Evaluation Procedure -- 4.2 Performance and Results -- 5 Conclusion -- References -- Geostatistics for Context-Aware Image Classification -- 1 Introduction -- 2 Problem Formulation -- 3 Proposed Approach -- 3.1 GeoSim Algorithm -- 3.2 Quenching Step -- 3.3 Relation to Previous Works -- 4 Experiments -- 4.1 Datasets -- 4.2 Testing Configuration -- 4.3 Results -- 5 Conclusions -- References -- Robot Vision -- Querying 3D Data by Adjacency Graphs -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Preliminaries -- 3.2 Graph Construction -- 3.3 Subgraph Extraction -- 3.4 Study of Isomorphic Graphs -- 4 Experimental Setup -- 4.1 Primitive Extraction -- 4.2 Environment &amp -- Setup -- 5 Results -- 5.1 Experiment 1 -- 5.2 Experiment 2 -- 6 Conclusion and Future Work -- References -- Towards a Robust System Helping Underwater Archaeologists Through the Acquisition of Geo-referenced Optical and Acoustic Data -- 1 Introduction -- 2 MARTA AUV -- 3 Payload Data Processing -- 3.1 Geometry Assessment -- 3.2 Texture Analysis -- 3.3 Data Integration -- 4 3D Rendering and the Virtual Environment -- 5 Conclusions -- References -- 3D Object Pose Refinement in Range Images -- 1 Introduction -- 2 Previous Work -- 3 Proposed Method -- 4 Experiments -- 5 Conclusions -- References -- Revisiting Robust Visual Tracking Using Pixel-Wise Posteriors -- 1 Introduction -- 2 Related Work. 3 Segmentation-Based Tracking. EBL202103 XX SzGeCERN BOOK Eklundh, Jan-Olof Gasteratos, Antonios Krüger, Volker https://cds.cern.ch/auth.py?r=EBLIB_P_6294823 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2756973 BOOK MIGRATED 2756947 SzGeCERN 20210421184133.0 9783319444277 electronic version electronic version 9783319444260 print version oai:cds.cern.ch:2756947 cerncds:BOOK EBL 6288037 eng Q337.3 .S937 2016 006.3 Dorigo, Marco Swarm intelligence 10th international conference, ANTS 2016, Brussels, Belgium, September 7-9, 2016, proceedings Cham Springer International Publishing AG 2016 312 p ebook Lecture notes in computer science 9882 Intro -- Preface -- Organization -- Contents -- Full Papers -- A Bearing-Only Pattern Formation Algorithm for Swarm Robotics -- 1 Introduction -- 2 Formation Definitions -- 2.1 Static Neighbour Selection -- 2.2 Dynamic Neighbour Selection -- 2.3 Comparison of Formation Definitions -- 3 Methods -- 3.1 Robot Sensors and Drive System -- 3.2 Behaviour-Based Controller -- 3.3 Simulation Software -- 4 Experimental Results -- 4.1 Performance Metric -- 4.2 Simulation Results -- 5 Conclusion -- References -- A Macroscopic Privacy Model for Heterogeneous Robot Swarms -- 1 Introduction -- 2 Model of Robot System -- 3 Definition of Differentially Private Swarm -- 4 Analysis of Privacy -- 4.1 Methodology -- 4.2 Case Study -- 4.3 Evaluation -- 5 Conclusion -- References -- A New Continuous Model for Segregation Implemented and Analyzed on Swarm Robots -- 1 Introduction -- 2 Development of a New Continuous Segregation Model -- 2.1 Redefining the Neighbourhood -- 2.2 The Two Basic States of Agents -- 2.3 Probabilistic Approach to State Changes -- 3 Implementation on Swarm Robots -- 4 Experiments -- 4.1 Setup -- 4.2 Variations -- 5 Results -- 5.1 Microscopic Effects -- 5.2 Macroscopic Effects -- 6 Conclusion and Outlook -- References -- A Study of Archiving Strategies in Multi-objective PSO for Molecular Docking -- 1 Introduction -- 2 Molecular Docking -- 3 Algorithms -- 4 Experimentation -- 4.1 Methodology -- 5 Results and Analysis -- 6 Conclusions -- References -- Ant Colony Optimisation-Based Classification Using Two-Dimensional Polygons -- 1 Introduction -- 2 Ant Colony Optimisation (ACO) -- 2.1 Standard ACO -- 2.2 MAX-MIN ACO -- 2.3 ACO for Classification -- 3 PolyACO -- 3.1 Ray Casting -- 3.2 Cost Function -- 3.3 Training Phase -- 3.4 Classification Phase -- 3.5 Comparisons -- 4 Conclusion -- References. Collective Perception of Environmental Features in a Robot Swarm -- 1 Introduction -- 2 Robotic Platform and Experimental Setup -- 3 Robot Control Algorithm -- 3.1 Low-Level Motion Routines -- 3.2 DMMD and DMVD Strategies -- 3.3 Direct Comparison of Option Quality -- 4 Experiments -- 4.1 Robot Experiments -- 4.2 Physics-Based Simulations -- 5 Conclusion -- References -- Communication Diversity in Particle Swarm Optimizers -- 1 Introduction -- 2 PSO, Diversity and Particle Interactions -- 2.1 Early Stagnation and Swarm Diversity -- 2.2 The Influence Graph -- 3 Communication Diversity -- 3.1 Assessing the Communication Diversity -- 3.2 Communication Diversity and Stagnation -- 4 Conclusions and Future Works -- References -- Continuous Time Gathering of Agents with Limited Visibility and Bearing-only Sensing -- 1 Introduction -- 2 The Gathering Problem -- 2.1 Connectivity is Never Lost -- 2.2 Finite-Time Gathering -- 3 Generalizations -- 4 Concluding Remarks -- References -- Design and Analysis of Proximate Mechanisms for Cooperative Transport in Real Robots -- 1 Introduction -- 2 The Task and the Simulation Model -- 3 The Controller and the Evolutionary Algorithm -- 4 The Fitness Function -- 5 Results -- 5.1 First Evaluation Test with Real e-pucks -- 5.2 Behavioural Analysis -- 6 Conclusions -- References -- Dynamic Task Partitioning for Foraging Robot Swarms -- 1 Introduction -- 2 Dynamic Task Partitioning -- 3 Experiments and Results -- 3.1 Step Mechanism -- 3.2 Exponential Mechanism -- 4 Conclusions and Future Work -- References -- Human-Robot Swarm Interaction with Limited Situational Awareness -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Problem Formulation -- 3.2 Robot and Simulation Platform -- 3.3 Swarm Behaviors -- 3.4 User Interface -- 3.5 Experimental Setup -- 4 Results -- 4.1 Performance Metrics and Baseline Performance. 4.2 Operator Performance -- 4.3 Interaction Analysis -- 5 Conclusions and Future Work -- References -- Monotonicity in Ant Colony Classification Algorithms -- 1 Introduction -- 2 Background -- 2.1 Ant Colony Classification Algorithms -- 2.2 Semantic Constraints -- 2.3 Monotonicity -- 2.4 AntMiner+ with Monotonicity Constraints -- 3 Discovering Monotonic Classification Rules -- 3.1 cAntMinerPB with Monotonicity Constraints -- 3.2 Rule Pruning -- 4 Results -- 5 Conclusions -- References -- Observing the Effects of Overdesign in the Automatic Design of Control Software for Robot Swarms -- 1 Introduction -- 2 Related Work -- 3 Facts and Hypotheses -- 4 Experiment -- 5 Conclusions -- References -- Parameter Selection in Particle Swarm Optimisation from Stochastic Stability Analysis -- 1 PSO Introduction -- 2 Swarm Dynamics -- 2.1 Empirical Properties -- 2.2 Matrix Formulation -- 2.3 Analytical Results -- 3 Critical Swarm Conditions for a Single Particle -- 3.1 PSO as a Random Dynamical System -- 3.2 Marginal Stability -- 4 Optimisation of Benchmark Functions -- 4.1 Experimental Setup -- 4.2 Empirical Results -- 5 Discussion -- 6 Conclusion -- References -- Population Coding: A New Design Paradigm for Embodied Distributed Systems -- 1 Introduction -- 2 Population Coding and Hardwired Controllers -- 3 Scenario A: Task Allocation -- 3.1 Micro-macro Model -- 3.2 Evolutionary Approach -- 4 Scenario B: Sensor-Based Transitions -- 5 Discussion and Conclusion -- References -- Random Walks in Swarm Robotics: An Experiment with Kilobots -- 1 Introduction -- 2 Random Walk Models -- 3 Experimental Setup -- 4 Results -- 5 Conclusions -- References -- Synthesizing Rulesets for Programmable Robotic Self-assembly: A Case Study Using Floating Miniaturized Robots -- 1 Introduction -- 2 Fluidic Self-assembly of Lily Robots -- 3 Graph Grammars for Self-assembly of Graphs. 4 Graph Grammars for Self-assembly of Robots -- 5 Synthesizing Rules for Robots -- 5.1 Singleton and Linchpin for Robots -- 5.2 Rulesets for Self-assembly of Lily Robots -- 6 Simulation Framework -- 6.1 Random Pairwise Interactions -- 6.2 Shape Recognition -- 7 Experiments and Results -- 8 Conclusion -- References -- Using Ant Colony Optimization to Build Cluster-Based Classification Systems -- 1 Introduction -- 2 ACO Related Work -- 3 Ant Colony for Building Cluster-Based Classifiers -- 3.1 The AntClust-Miner Overall Algorithm -- 3.2 Instance-Based ACO Clustering Method -- 3.3 Medoid-Based ACO Clustering Extended Method -- 3.4 Quality Evaluation and Pheromone Update -- 4 Experimental Methodology and Results -- 5 Conclusions and Future Work -- References -- Short Papers -- A Swarm Intelligence Approach in Undersampling Majority Class -- 1 Related Work -- 2 Stochastic Diffusion Search -- 3 Experiments and Results -- 3.1 Balancing the Dataset -- 3.2 Results -- 4 Discussion -- 4.1 Applying SDS to Imbalance Data -- 4.2 SDS and Analysing the Spread of Data -- 4.3 SDS and Computational Complexity -- 5 Conclusion and Future Work -- References -- Optimizing PolyACO Training with GPU-Based Parallelization -- 1 Introduction -- 2 PolyACO Classification -- 2.1 PolyACO -- 2.2 CUDA -- 2.3 GPU-Based ACO Solutions -- 3 Parallelizing the Cost-Function to GPU -- 4 Experiments and Results -- 4.1 Declined Performance Gain -- 5 Conclusion and Future Work -- References -- Motion Reconstruction of Swarm-Like Self-organized Motor Bike Traffic from Public Videos -- 1 Introduction -- 2 Data Acquisition -- 3 Geometric Model of a Bike -- 4 Experiment for Evaluation -- 4.1 Results and Discussion -- 5 Conclusions and Outlook -- References -- On Heterogeneity in Foraging by Ant-Like Colony: How Local Affects Global and Vice Versa -- 1 Introduction -- 2 Preliminaries. 2.1 Discrete Model of Food Transportation by Ants-Like Colony -- 2.2 Setting of Action Types -- 2.3 Heterogeneous Ants Obeying Different Action Procedure -- 3 Analysis of Food Transportation by Heterogeneous Ants -- 3.1 Fundamental Simulation Settings -- 3.2 Statistical Analysis in Foraging Behavior by the Heterogeneous Ants -- 4 Distributed Control of Global Mixture Ratio Based on Local Encounter Experience -- 4.1 Estimation of Global Mixture Ratio from Local Encounter Experience -- 4.2 Distributed Control of Global Mixture Ratio -- 5 Conclusions -- References -- On Stochastic Broadcast Control of Swarms -- 1 Introduction -- 1.1 Statement of Problem -- 1.2 The Dynamics of the Agents -- 1.3 Preliminaries -- 1.4 Literature Survey and Original Contribution -- 1.5 Paper Outline -- 2 One Dimensional Group Dynamics -- 2.1 Zero Input Group Dynamics -- 2.2 Input Induced Group Dynamics -- 3 Two Dimensional Group Dynamics -- 3.1 Asymptotic Position of Agent i -- 3.2 Interpretation of the Asymptotic Deviations in the Euclidean Space -- 4 Summary and Directions for Future Research -- References -- Route Assignment for Autonomous Vehicles -- 1 Introduction -- 2 Algorithm -- 2.1 Spread of Strategies -- 2.2 Detours -- 2.3 Initialization and Termination -- 3 Experiments -- 4 Results -- 5 Future Work and Conclusion -- References -- Stealing Items More Efficiently with Ants: A Swarm Intelligence Approach to the Travelling Thief Problem -- 1 Introduction -- 2 Traveling Thief Problem -- 2.1 Problem Description -- 2.2 Current State-of-the-Art -- 3 Using Ants to Steal Items -- 4 Experimental Study -- 4.1 Experimental Setup -- 4.2 MMAS Configurations -- 4.3 Comparison with State-of-the-Art -- 5 Concluding Remarks -- References -- Extended Abstracts -- Achieving Synchronisation in Swarm Robotics: Applying Networked Q-Learning to Production Line Automata -- References. Autonomous Task Allocation for Swarm Robotic Systems Using Hierarchical Strategy. EBL202103 XX SzGeCERN BOOK Birattari, Mauro Li, Xiaodong López-Ibáñez, Manuel Ohkura, Kazuhiro Pinciroli, Carlo Stützle, Thomas https://cds.cern.ch/auth.py?r=EBLIB_P_6288037 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2756947 BOOK MIGRATED 2756940 SzGeCERN 20210421184134.0 9783319214702 electronic version electronic version 9783319214696 print version oai:cds.cern.ch:2756940 cerncds:BOOK EBL 6287576 eng QA75.5 .C667 2015 004 Gervasi, Osvaldo Computational science and its applications - ICCSA 2015 15th international conference, Banff, AB, Canada, June 22-25, 2015, proceedings, part III Cham Springer International Publishing AG 2015 857 p ebook Lecture notes in computer science 9157 Intro -- Preface -- Organization -- Contents - Part III -- Workshop on Econometrics and multidimensional evaluation in the urban environment (EMEUE 2015) -- Multicriteria Prioritization for Multistage Implementation of Complex Urban Renewal Projects -- 1 Introduction -- 2 Theoretical Background of the Proposed Model -- 3 The Proposed Assessment Model -- 4 A Real World C Case: Urban Regeneration in the Sicilian Sou uth West Coast (Ital ly) -- 5 Application of the Assessment Model -- 6 Conclusions -- References -- Calculating Composite Indicators for Sustainability -- 1 Introduction -- 2 Sustainability Indicators and Indices -- 3 Multi-attribute Value Theory -- 4 Application -- 5 Conclusions -- References -- Using Genetic Algorithms in the Housing Market Analysis -- 1 Introduction -- 2 Genetic Algorithms -- 3 Conclusions -- References -- The Graduates' Satisfaction at Work Through a Generalization of the Fuzzy Least Square Regression Model -- 1 Introduction -- 2 The Fuzzy Least Square Regression -- 3 The Fuzzy Polynomial Regression -- 4 An Analysis of the Graduates' Satisfaction at Work -- 5 Conclusions -- References -- Historic Buildings and Energetic Requalification A Model for the Selection of Technologically Advanced Interventions -- 1 Cultural Property and Historical-Artistic Interest Buildings. Notions and Regulatory Constraints -- 2 Integrated Conservation and Energetic Requalification of Historic Buildings -- 3 A Model for the Economic Evaluation of Projects on the Protected Building Heritage -- 4 Possible Interventions for the Energetic Requalification of Historic Buildings -- 5 Conclusions -- References -- Investing in Sports Facilities: The Italian Situation Toward an Olympic Perspective -- Confidence Intervals for the Financial Analysis of Pools -- 1 Introduction. 2 Sports Facilities as Economic Catalysts for the Development of the City -- 3 The Law 147/2013 for Stadiums -- 4 The Outsourcin g of Sport Facility Management -- 5 The Constructio on of the Confidence Intervals -- 6 Reliability Verification of the Confidence Intervals -- 7 Conclusions -- References -- Urban Renewal: Negotiation Procedures and Evaluation Models* -- 1 Introduction -- 2 Methodology Used for "new rules" Research -- 3 The Private Feasibility Evaluation -- 4 The Evaluation of the Collective Convenience -- 4.1 The Description Phase of the Alternatives -- 4.2 The Definition of the Evaluation Criteria -- 4.3 The Construction of Indicators for the Measurement of Impact -- 4.4 The Analysis Phase and Detection of Impact -- 4.5 The Evaluation Phase: Standardization and Ponderation -- 4.6 Ranking the Alternatives -- 4.7 The Results of the Assessment -- 5 Conclusions -- References -- Energy Production Through Roof-Top Wind Turbines A GIS-Based Decision Support Model for Planning Investments in the City of Bari (Italy) -- 1 Introduction -- 2 Aims -- 3 Urban Wind Model -- 4 Outlines of Land Lease -- 5 The Case Study: Application to the City of Bari -- 5.1 Discretization of the Territory of the City of Bari -- 5.2 Definition of the Maps of Annual Mean Wind Speed and AEP -- 5.3 The Appraisal of the Land Lease Value -- 5.4 The Construction of the Evaluative Maps -- 6 Conclusions -- References -- "Flame": A Fuzzy Clustering Method to Detection Prototype in Socio-Economic Context -- 1 Approaches and Methodologies for the Fuzzy Clustering -- 2 Fuzzy Clustering by Local Approximation of Membership (FLAME) -- 2.1 Introduction -- 3 The Construction of Sets of Indicators with a Fuzzy Method -- 4 An Application with FLAME Fuzzy Clustering Algorithm -- 5 Concluding Remarks -- References. Green Marketing and Sustainable Development: A Statistical Survey on Ikea Customers' Perception -- 1 Introduction -- 2 What We Mean As "Sustainable Marketing" -- 2.1 Definition of Sustainable Marketing -- 2.2 Some Numbers -- 2.3 Greenwashing -- 3 Sustainable Development: The Case of Ikea -- 3.1 Introduction -- 3.2 The Ethical Code and the IWAY Audit -- 3.3 Renewable Energy Source Supply and the Transports and Logistics -- 4 Consumer Perception on Environmental Issues -- 4.1 Introduction -- 4.2 The Istat Survey on Population and Environment -- 4.3 The Survey of Ikea on the Consumer's Perception -- 5 Concluding Remarks -- References -- GIS-Based Multi-Criteria Decision Analysis for the "Highway in the Sky" -- 1 Introduction -- 2 Objectives and Motivations for Integrating a Multi-criteria Procedure with Geographic Information Systems -- 3 The Multi-criteria Evaluation Procedure -- 4 Description of the Model for GIS-MCDA Integration -- 5 Conclusions -- References -- A Model of Multi-Criteria Analysis to Develop Italy's Minor Airport System -- 1 Introduction -- 2 General Aims and Research Phases -- 3 Specific Aims, Structure and Analysis and Assessment Methodology for Determining Potentiality and Problems of Italy's Minor Airport System's Current Configuration (2014) -- 4 Contextual Analysis -- 5 The Model of Multi-criteria Analysis -- 5.1 Structuring of the Evaluation Procedure -- 5.2 Structural Classification: Judgement Level A (JLA) -- 5.3 Classification of Services: Judgement Level B (JLB) -- 5.4 Overall Classification of Resources. Judgement Level C (JLC) -- 6 Implementation of the Procedure and First Results -- 7 Conclusions -- References -- Financial Sustainability and Morphogenesis of Urban Transformation Project -- 1 Introduction -- 2 Feasibility Analysis of the Projects and the PPPs -- 3 Morphogenetic Functions of the Financial Analysis. 4 Application of a Morphogenetic Model of Financial Analysis to the Renewal Project of Abandoned Railway Areas -- 4.1 The ATI-2 Project -- 4.2 Application of the Model -- 5 Conclusions -- References -- Property Valuations in Times of Crisis. Artificial Neural Networks and Evolutionary Algorithms in Comparison -- 1 Introduction -- 2 Outline of ANN Models and EPR Models -- 3 The Case Study -- 3.1 The ANN Model -- 3.2 The EPR Model -- 3.3 Comparison Between the ANN and the EPR-MOGA Models and Interpretation of Results -- 4 Conclusions -- References -- Spline Smoothing for Estimating Hedonic Housing Price Models -- 1 Introduction -- 2 Model Specification -- 3 Application -- 4 Conclusions -- References -- Urban Heritage Regeneration in the Old Town of Ragusa (Italy): An Architecture-Centred Analysis-Valuation-Plan Pattern -- 1 Introduction -- 2 Materials: The Old Town of Ragusa and the Database -- 2.1 Characteristics of the Old Town an Definition of the Sample -- 3 Methods and Pr rocedures -- 3.1 Concepts: A Semio tic Interpretation -- 3.2 The Pattern -- 4 Applications and d Results -- 4.1 Notes about Some G Geographical Information System Applications -- 4.2 Contents -- 4.3 Axiology and Gene ration of Strategies -- 5 Discussions. Sem miotics in the Equalization Perspective -- 6 Conclusions -- References -- Decision Trees Analysis in a Low Tension Real Estate Market: The Case of Troina (Italy) -- 1 Introduction -- 2 Materials. Troina and Its Real Estate Market Survey -- 3 Methods and Procedures -- 3.1 Clustering Analysis: The Decision Trees -- 4 Application and Results -- 4.1 Numeric Decision Tree Application -- 5 Discussions -- 5.1 Spatial Display -- 5.2 Nominal Decision Tree Application -- 6 Conclusions -- References -- Planning Seismic Damage Prevention in the Old Tows Value and Evaluation Matters -- 1 Introduction -- 2 Materials. 2.1 The Seismic Prevention Plan of Ragusa -- 3 Methods and Procedures -- 3.1 Emergency Condition Limit and Vulnerability of the Built-Up Area -- 3.2 Evaluation Aspects and Tool -- 4 Applications and Results -- 4.1 The Studied Area: Data and Information -- 4.2 Results as a Support for ELC Dimensioning -- 5 Discussions -- 6 Conclusions and Perspectives -- References -- A Preliminary Estimate of the Rebuilding Costs for the Towns of the Abruzzo Region Affected by the April 2009 Earthquake: An Alternate Approach to Current Legislative Procedures -- 1 Introduction -- 2 The Reconstruction Plans and Their Preliminary Cost Estimates -- 3 Comments on the Preliminary Cost Estimate Procedure -- 4 Proposed Alternative Cost Estimation Procedure -- 5 Concluding Remarks -- References -- From Surface to Core: A Multi-layer Approach for the Real Estate Market Analysis of a Central Area in Catania -- 1 Introduction -- 2 San Cristoforo Neighbourhood in Catania and the Real Estate Market Survey -- 3 Methods and Procedures -- 3.1 Cluster Analysis -- 3.2 The Real Estate Market Analysis by Using a Data Mining-DRSA Approach -- 4 Applications -- 4.1 Cluster Analysis -- 4.2 Data Mining-DRSA Approach -- 5 Results and Discussions -- 5.1 The Results of the Application of the DRSA Approach -- 5.2 The Results of the Application of the Cluster Analysis -- 6 Conclusions -- References -- The Multidimensional Assessment of Land Take and Soil Sealing -- 1 Introduction: Land Take and Soil Sealing and Their Evaluation -- 2 Research object tives: The Construction of Land Take Composite e Indicators -- 3 Methodological Proposal and Its Application -- 3.1 First Phase. State o of the Art -- 3.2 Second Phase. Data population and Methodological Proposal for the Impact Assessment and Multidimensional Evaluation -- 3.3 Third Phase. Test on a Case Study. 4 Final Remarks and Perspectives of Research. EBL202103 XX SzGeCERN BOOK Murgante, Beniamino Misra, Sanjay Gavrilova, Marina L Rocha, Ana Maria Alves Coutinho Torre, Carmelo Taniar, David Apduhan, Bernady O https://cds.cern.ch/auth.py?r=EBLIB_P_6287576 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2756940 BOOK MIGRATED 2756928 SzGeCERN 20210421184134.0 9783319468433 electronic version electronic version 9783319468426 print version oai:cds.cern.ch:2756928 cerncds:BOOK EBL 6285204 eng Q327 .H863 2016 006.4 Chetouani, Mohamed Human behavior understanding 7th international workshop, HBU 2016, Amsterdam, The Netherlands, October 16, 2016, proceedings Cham Springer International Publishing AG 2016 164 p ebook Lecture notes in computer science 9997 Intro -- Preface -- Organization -- Contents -- Behavior Analysis During Play -- EmoGame: Towards a Self-Rewarding Methodology for Capturing Children Faces in an Engaging Context -- 1 Introduction -- 2 Related Works -- 3 Game Scenario -- 4 Expression Recognition -- 4.1 Image Pre-processing -- 4.2 Face Expression Analysis -- 5 Preliminary Experiments -- 6 Conclusion -- References -- Assessing Affective Dimensions of Play in Psychodynamic Child Psychotherapy via Text Analysis -- 1 Introduction -- 1.1 Preliminary Research Questions -- 2 Related Work -- 2.1 Affect in Psychotherapy Research with Children -- 2.2 Assessment Measures of Affect Expressed in Play Therapy -- 2.3 Automatic Text Analyses of Affect from Text in Psychotherapy Research -- 2.4 Text Analysis for Sentiment and Affect Detection -- 3 The Proposed Text Analysis System -- 3.1 Adaptations for Psychotherapy -- 4 Experimental Setup -- 4.1 Data -- 4.2 Measures -- 4.3 Method of Automatic Analysis -- 5 Results -- 5.1 Descriptive Statistics -- 5.2 Preliminary Results of Affect Analysis at the Beginning of Treatment -- 5.3 Preliminary Analyses of Affect Expressed During Treatment -- 5.4 Ablation Study -- 6 Conclusions -- References -- Multimodal Detection of Engagement in Groups of Children Using Rank Learning -- 1 Introduction -- 2 Related Work -- 3 Data -- 3.1 Annotation -- 4 Method -- 4.1 Turn-Taking Features -- 4.2 Body Movement and Segmentation -- 4.3 Ranking SVM -- 5 Analysis and Results -- 5.1 Feature Analysis -- 5.2 Detection Experiments -- 5.3 Results -- 5.4 Limitations and Future Work -- 6 Conclusions -- References -- Daily Behaviors -- Anomaly Detection in Elderly Daily Behavior in Ambient Sensing Environments -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Sensing Environment -- 3.2 Dataset -- 4 Sensor Data Abstraction Layer -- 4.1 Location Inference. 4.2 Outing Detection -- 4.3 Evaluation -- 5 User Behavioral Model -- 5.1 Location Based Probabilistic Model -- 5.2 Discovering Common Behavioral Patterns -- 6 Anomaly Indicator -- 6.1 Measuring the Data Predictability -- 6.2 Anomaly Detection Evaluation -- 7 Discussion and Conclusion -- References -- Human Behavior Analysis from Smartphone Data Streams -- 1 Introduction -- 2 Related Work -- 3 Events: Human-Centric Data Fusion Approach -- 3.1 Importance of Life Events -- 3.2 Life Log -- 3.3 Life Event Recognition -- 4 Co-occurrence Pattern Mining -- 5 Evaluation and Results -- 5.1 Data Collection -- 5.2 Sequential Co-Occurrence: Commute Behavior and Activity Trends -- 5.3 Concurrent Co-occurrence: Multitasking Behavior -- 5.4 The Effect of Environmental Factors on Behavior -- 6 Conclusion and Future Work -- References -- Gesture and Movement Analysis -- Sign Language Recognition for Assisting the Deaf in Hospitals -- 1 Introduction -- 2 The Hospital Information System User Interface -- 3 Proposed Sign Language Recognition Method -- 4 Experiments and Results -- 5 Conclusion -- References -- Using the Audio Respiration Signal for Multimodal Discrimination of Expressive Movement Qualities -- 1 Introduction -- 2 State of the Art -- 3 Definitions of Expressive Qualities -- 4 Experimental Setup -- 5 Analysis Techniques -- 5.1 Feature Extraction -- 5.2 Synchronization -- 6 Data Analysis and Results -- 6.1 Dataset -- 6.2 Results -- 6.3 Discussion -- 7 Conclusion and Future Work -- References -- Spatio-Temporal Detection of Fine-Grained Dyadic Human Interactions -- 1 Introduction -- 2 Related Work on Interaction Detection -- 3 Modeling Fine-Grained Coordinated Interactions -- 3.1 Model Formulation -- 3.2 Training -- 3.3 Spatio-Temporal Localization -- 4 Experiments and Results -- 4.1 Datasets -- 4.2 Performance Measurements -- 4.3 Features and Experiment Setup. 4.4 Detection Results -- 4.5 Parameter Settings -- 4.6 Performance on SBU Kinect and UT-Interaction -- 5 Conclusions and Future Work -- References -- Vision Based Applications -- Convoy Detection in Crowded Surveillance Videos -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Human Detection and Tracking -- 3.2 From Trajectories to Convoys -- 4 Experiment and Result -- 4.1 Evaluation of Pedestrian Detection -- 4.2 Evaluation of Convoy Detection -- 5 Conclusion -- References -- First Impressions - Predicting User Personality from Twitter Profile Images -- 1 Introduction -- 2 Pipeline -- 2.1 Facial Descriptors -- 2.2 Scene Descriptor -- 2.3 Big Five Traits Prediction -- 3 Data -- 4 Experiments -- 5 Conclusion and Future Work -- References -- Author Index. EBL202103 XX SzGeCERN EBL Pattern perception-Congresses BOOK Cohn, Jeffrey Salah, Albert Ali https://cds.cern.ch/auth.py?r=EBLIB_P_6285204 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2756928 BOOK MIGRATED 2756922 SzGeCERN 20210421184135.0 9783319419206 electronic version electronic version 9783319419190 print version oai:cds.cern.ch:2756922 cerncds:BOOK EBL 6285184 eng Q327 .M334 2016 006.4 Perner, Petra Machine learning and data mining in pattern recognition 12th international conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, proceedings Cham Springer International Publishing AG 2016 819 p ebook Lecture notes in computer science 9729 Intro -- Preface -- Organization -- Contents -- Evolving a Low Price Recovery Strategy for Distressed Securities -- 1 Introduction -- 1.1 Problem Description -- 2 Approach -- 2.1 LPRS Agent Fitness Functions -- 2.2 Types of LPRS Agents -- 2.3 Genetic Program Characteristics -- 3 Related Work -- 4 Experimentation and Analysis of Results -- 4.1 Experiment Setup -- 4.2 Experiment Results -- 4.3 Analysis of Results -- 5 Summary -- References -- A Learning Framework to Improve Unsupervised Gene Network Inference -- 1 Introduction -- 2 The Learning Framework -- 2.1 Graph Sparsification -- 2.2 Feature Selection -- 2.3 The Link Prediction Algorithm -- 3 Experiments and Results -- 3.1 Datasets -- 3.2 Experimental Methodology -- 3.3 Experimental Results -- 4 Conclusion -- References -- A Closed Frequent Subgraph Mining Algorithm in Unique Edge Label Graphs -- 1 Introduction -- 2 Preliminary -- 2.1 Notations -- 2.2 Closure Operator and Set System -- 3 Closed Frequent Subgraph Mining in Unique Edge Label Graphs -- 3.1 Connected Subgraph System -- 3.2 Edges and Converse Edges (ECE) Representation -- 3.3 Support Closure Operation -- 3.4 The ECE-CloseSG Algorithm -- 4 Experimental Study -- 5 Related Works -- 6 Conclusion -- References -- Using Glocal Event Alignment for Comparing Sequences of Significantly Different Lengths -- 1 Introduction -- 2 Proposed Method -- 3 Experimental Results -- 3.1 Synthetic Data -- 3.2 Real Data -- 4 Discussion -- 5 Related Work -- 6 Conclusion -- References -- Using Support Vector Machines for Intelligent Service Agents Decision Making -- 1 Introduction -- 2 Related Work -- 3 The Proposed Model -- 3.1 Preliminaries -- Web Services. -- Communities of Web Service. -- 3.2 Feature Engineering -- 3.3 Join Consequences -- 3.4 The Learning Model -- 4 Experimental Case Study -- 4.1 Dataset -- 4.2 Experimental Protocol -- 4.3 Results. Join Applications. -- 5 Conclusion -- References -- AdaMS: Adaptive Mountain Silhouette Extraction from Images -- 1 Introduction -- 2 Related Work -- 3 AdaMS Extraction -- 3.1 Artefact Definition -- 3.2 Grid -- 3.3 Segmentation -- 3.4 Outlier Detection -- 3.5 Outlier Classification -- 3.6 Artefact Elimination -- 3.7 Local Refinement -- 3.8 Global Refinement -- 4 Evaluation -- 5 Summary and Future Work -- References -- K-Means over Incomplete Datasets Using Mean Euclidean Distance -- 1 Introduction -- 2 Incomplete Data Distance Measure -- 3 Mean Computation -- 4 K-Means Clustering Using the MDE Distance -- 4.1 Algorithm Convergence -- 5 Experiments on Numerical Datasets -- 5.1 The Effect of the Number of Intervals on the Performance of k-means-HistMDE -- 6 Conclusions -- References -- A Time Series Model of the Writing Process -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Mean Dependency -- 3.2 Distance Construction -- 4 Numerical Experiments -- 4.1 Comparison of Book Collections -- 4.2 Comparison of Single Books -- 5 Conclusion -- References -- Driving Style Identification with Unsupervised Learning -- 1 Introduction -- 1.1 Usage-based Insurance -- 1.2 Global Positioning System -- 1.3 Unsupervised Learning -- 1.4 Structure of the Paper -- 2 AXA Drivers Telematics Challenge -- 2.1 Data -- 2.2 Feature Engineering -- 2.3 Markov Chains -- 2.4 Fast Fourier Transforms -- 2.5 Quantization of the Features -- 3 Experiments -- 3.1 The Main Idea of the Method -- 3.2 Computation of the Moving Averages -- 3.3 Some Alternative Methods -- 4 Concluding Remarks -- References -- A Hybrid Framework for News Clustering Based on the DBSCAN-Martingale and LDA -- 1 Introduction -- 2 Related Work -- 3 The DBSCAN-Martingale Framework for News Clustering -- 4 DBSCAN-Martingale -- 4.1 Notation and Preliminaries on DBSCAN. 4.2 Estimation of the Number of Clusters with the DBSCAN-Martingale -- 4.3 The Sequence of Vectors C(t) is a Martingale Process -- 5 Experiments -- 5.1 Dataset Description -- 5.2 Evaluation -- 6 Conclusion -- References -- EFIM-Closed: Fast and Memory Efficient Discovery of Closed High-Utility Itemsets -- 1 Introduction -- 2 Problem Statement -- 3 Related Work -- 4 The EFIM-Closed Algorithm -- 4.1 The Search Space -- 4.2 Scanning the Database Efficiently -- 4.3 Pruning Low-Utility Itemsets -- 4.4 Pruning Non Closed HUIs -- 4.5 The Algorithm -- 5 Experimental Results -- 6 Conclusion -- References -- Fast Detection of Block Boundaries in Block-Wise Constant Matrices -- 1 Introduction -- 2 Statistical Framework -- 2.1 Statistical Modeling -- 2.2 Theoretical Results -- 3 Implementation -- 4 Numerical Experiments -- 4.1 Synthetic Data -- 4.2 Application to HiC Data -- 5 Conclusion -- References -- Inferring Censored Geo-Information with Non-Representative Data -- 1 Introduction -- 2 Methodology -- 3 Experiments -- 4 Related Work -- 5 Discussion -- 6 Conclusion -- References -- Efficient Mining of Weighted Frequent Itemsets in Uncertain Databases -- 1 Introduction -- 2 Related Work -- 3 Preliminaries and Problem Statement -- 3.1 Preliminaries -- 3.2 Problem Statement -- 4 Proposed HEWI-Utree Algorithm -- 4.1 Element (E)-table and Weighted-Probability (WP)-table -- 4.2 Search Space of the HEWI-Utree Algorithm: WP-tree -- 4.3 Procedure of HEWI-Utree Algorithm -- 5 Experiments -- 5.1 Execution Time -- 5.2 Memory Usage -- 5.3 Scalability Analysis -- 6 Conclusion -- References -- Automatic Detection of Latent Common Clusters of Groups in MultiGroup Regression -- 1 Introduction -- 2 Mathematical Background -- 2.1 Models Related to iMG-GLM -- 2.2 Dirichlet Process and its Stick-Breaking Representation -- 3 iMG-GLM Model Formulation -- 3.1 Normal iMG-GLM-1 Model. 3.2 Logistic Multinomial iMG-GLM-1 Model -- 3.3 Poisson iMG-GLM-1 Model -- 4 Variational Inference -- 4.1 Normal iMG-GLM-1 Model -- 4.2 Logistic Multinomial iMG-GLM-1 Model -- 4.3 Poisson iMG-GLM-1 Model -- 5 Parameter Estimation for Variational Distribution -- 5.1 Parameter Estimation of iMG-GLM-1 Normal Model -- 5.2 Parameter Estimation of iMG-GLM-1 Multinomial Model -- 5.3 Parameter Estimation of Poisson iMG-GLM-1 Model -- 5.4 Predictive Distribution -- 6 iMG-GLM-2 Model -- 6.1 Information Transfer From Prior Groups -- 6.2 Posterior Sampling -- 6.3 Prediction for New Group Test Samples -- 7 Experimental Results -- 7.1 Trends in Stock Market -- 7.2 Clinical Trial Problem Modeled by Poisson iMG-GLM Model -- 8 Conclusion -- References -- Content Based Identification of Talk Show Videos Using Audio Visual Features -- 1 Introduction -- 1.1 SCENE -- 2 Automated Video Content Genre Based Classification -- 2.1 System Overview -- 2.2 Audio Classifier -- 2.3 Video Classification -- 3 Results -- 4 Conclusion -- References -- IncMSTS-PP: An Algorithm to the Incremental Extraction of Significant Sequences from Environmental Sensor Data -- 1 Introduction -- 2 Background and Related Work -- 3 The Proposed Algorithm: Incremental Miner of Stretchy Time Sequences with Post-Processing -- 3.1 Post-Processing Module -- 3.2 Example of Post-Processing -- 4 Experiment and Results -- 5 Conclusion -- References -- DSCo: A Language Modeling Approach for Time Series Classification -- 1 Introduction -- 2 Related Work -- 3 Background and Key Intuition -- 3.1 Text Representation with SAX -- 3.2 Language Modeling -- 4 Domain Series Corpora for TSC -- 4.1 Data Representation as Texts -- 4.2 Language Model Inference -- 4.3 Classification -- 5 Evaluation -- 5.1 Reducing Data Using SAX -- 5.2 Implementation and Setup -- 5.3 Comparison of Classification Performance. 5.4 Time and Space Complexity -- 5.5 Limitations -- 6 Conclusions and Future Work -- References -- Tracking Communities over Time in Dynamic Social Network -- 1 Introduction -- 2 The Tracking Approach -- 3 Experiments -- 4 Conclusion -- References -- Location-Aware Ad Recommendation to Bid for Impressions -- 1 Introduction -- 2 Related Work -- 3 Location Aware Ad Recommendation System Design -- 3.1 Recommendation Problem Statement and Data Format -- 3.2 Challenges and Recommendation Algorithms -- 4 Recommendation Algorithms and Experiments -- 4.1 Collaborative Filtering Style Ad-Recommender -- 4.2 Identifying the Interesting Locations -- 4.3 Experimental Work -- 5 Future Work and Conclusion -- References -- A Probabilistic Matrix Factorization Method for Link Sign Prediction in Social Networks -- 1 Introduction -- 2 The Proposed Method -- 3 Experimental Results -- 4 Conclusions and Future Work -- References -- Metadata-Based Clustered Multi-task Learning for Thread Mining in Web Communities -- 1 Introduction -- 2 Related Work -- 3 The Metadata -- 3.1 Metadata Modeling -- 3.2 Metadata in Web Communities -- Reply-To Graph. -- Weighted Topic Distribution. -- 4 Formation of Multiple Tasks -- 4.1 The Similarity Measure -- 4.2 The Metadata Clustering -- 5 The Learning Algorithm -- 6 Experimental Results -- 6.1 Evaluation for the Explicit v.s. Reconstructed Reply-to Graph -- 6.2 Evaluation for the Number of Data Clusters K -- 6.3 Evaluation for the Number of Task Clusters k -- 7 Conclusion -- References -- On Genetic Algorithms for Detecting Frequent Item Sets And Large Bite Sets -- 1 Introduction -- 2 Support and Bite Set Definitions -- 3 The Design of the Genetic Algorithm -- 4 Results -- 5 Conclusion and Future Work -- References -- LiveDoc: Showing Contextual Information Using Topic Modeling Techniques -- 1 Introduction and Motivation -- 2 Related Work. 3 Our Approach &amp. EBL202103 XX SzGeCERN EBL Pattern perception-Congresses BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6285184 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2756922 BOOK MIGRATED 2756907 SzGeCERN 20210421184135.0 9783319159348 electronic version electronic version 9783319159331 print version oai:cds.cern.ch:2756907 cerncds:BOOK EBL 6283554 eng QA76.618 .E965 2015 005.432 Gaspar-Cunha, António Evolutionary multi-criterion optimization 8th international conference, EMO 2015, Guimarães, Portugal, March 29 - April 1, 2015 proceedings, part I Cham Springer International Publishing AG 2015 466 p ebook Lecture notes in computer science 9018 Intro -- Preface -- Organization -- Plenary Talks -- Interactive Approaches in Multiple Criteria Decision Making and Evolutionary Multi-objective Optimization -- Towards Automatically ConfiguredMulti-objective Optimizers -- A Review of Evolutionary Multiobjective Optimization Applications in Aerospace Engineering -- Performance Evaluation of Multiobjective Optimization Algorithms: Quality Indicators and the AttainmentFunction -- Contents - Part I -- Contents - Part II -- Theory and Hyper-Heuristics -- A Multimodal Approach for Evolutionary Multi-objective Optimization (MEMO): Proof-of-Principle Results -- 1 Introduction -- 2 Multimodal Optimization -- 3 Classical Generative Methods for Multi-objective Problem Solving -- 3.1 Achievement Scalarizing Function (ASF) Method -- 4 Multimodal Approach for Solving Multi-objective Optimization (MEMO) -- 4.1 Formulating a Multimodal Problem -- 4.2 Proposed Multimodal Evolutionary Algorithm: MEMO -- Procedure 1: Archieve_and_Normalize() -- Procedure 2: FitnessAssignment() -- Procedure 3: Selection() -- Procedure 4: Merge_and_Reduce() -- 5 Results and Discussions -- 5.1 Two-Objective Problems -- 5.2 Three-Objective Problems -- Crash-Worthiness Problem. -- 5.3 Many-objective Problems -- 6 Conclusions and Extensions -- References -- Unwanted Feature Interactions Between the Problem and Search Operators in Evolutionary Multi-objective Optimization -- 1 Introduction -- 2 Background -- 2.1 Remote Data Mirroring -- 2.2 Plato -- 3 Problem Definition -- 3.1 Original NSGA-II -- 3.2 Epsilon-Constrained NSGA-II (Pareto Surface) -- 4 Experimental Design and Results -- 4.1 NSGA-II (Minimum Euclidean Crowding-Distance) -- 4.2 Epsilon-Constrained NSGA-II (Offspring Distance) -- 4.3 Epsilon-Constrained NSGA-II (Additional Factors) -- 4.4 Increased Mutation Probability -- 5 Discussion -- 6 Related Work. 7 Conclusions and Future Work -- References -- Neutral but a Winner! How Neutrality Helps Multiobjective Local Search Algorithms -- 1 Introduction -- 2 Background -- 2.1 The Bi-objective Permutation Flowshop Scheduling Problem -- 2.2 Dominance-Based Multi-objective Local Search -- 3 Neutrality Extended to Multi-objective Optimization -- 3.1 Neutrality in Single-objective Optimization -- 3.2 Neutrality in Multi-Objective Optimization -- 3.3 Neutrality in DMLS Algorithms -- 3.4 New Neutrality-Based Strategies -- 4 Experiments and Discussion -- 4.1 Experimental Protocol -- 4.2 Experimental Results -- 5 Conclusion -- References -- To DE or Not to DE? Multi-objective Differential Evolution Revisited from a Component-Wise Perspective -- 1 Introduction -- 2 Differential Evolution from a Component-Wise View -- 3 Investigating Intermediate Designs -- 4 Experimental Setup -- 4.1 Tuning Setup -- 4.2 Testing Setup -- 5 Experimental Analysis Grouped by Environmental Selection Strategy -- 5.1 NSGA-II, DENS-II, and DEMONS-II -- 5.2 SPEA2, DESP2, and DEMOSP2 -- 5.3 IBEA, DEIB, and DEMOIB -- 5.4 Overall Remarks -- 6 Comparison to SMS-EMOA -- 7 Conclusions -- References -- Model-Based Multi-objective Optimization: Taxonomy, Multi-Point Proposal, Toolbox and Benchmark -- 1 Introduction -- 2 Taxonomy -- 3 Considered MBMO Algorithms -- 4 Batch Proposal for Parallel Evaluation -- 4.1 ParEGO -- 4.2 Pareto-Based MBMO -- 4.3 Direct Indicator-Based MBMO -- 5 The mlrMBO R Software Package -- 6 Experiments -- 6.1 Research Hypotheses -- 6.2 Experimental Setup -- 6.3 Observations -- 6.4 Discussion -- 7 Conclusions and Outlook -- References -- Temporal Innovization: Evolution of Design Principles Using Multi-objective Optimization -- 1 Introduction -- 1.1 Temporal Innovization and Human Evolution -- 2 Methodology -- 3 Results I: Design Principles Through Automated Innovization. 3.1 Car Side Impact Problem -- 3.2 Metal Cutting Problem -- 3.3 MEMS Resonator Design Problem -- Discrete Variables in Evolution. -- 4 Results II: Design Features Through Superposition -- 4.1 Moment of Inertia Problem -- 4.2 Cantilever Beam Problem -- 5 Conclusions -- References -- MOEA/D-HH: A Hyper-Heuristic for Multi-objective Problems -- 1 Introduction -- 2 Hyper-Heuristics -- 3 Differential Evolution -- 4 Multi-objective Optimization and MOEA/D-DRA -- 5 Proposed Approach -- 5.1 Proposed Choice Function -- 6 Experiments and Results -- 6.1 Choice Function Parameter Setting -- 6.2 MOEA/D-HH Single Low Level Heuristics -- 6.3 MOEA/D-HH: Comparison with Literature -- 7 Conclusions -- References -- Using Hyper-Heuristic to Select Leader and Archiving Methods for Many-Objective Problems -- 1 Introduction -- 2 Background -- 2.1 MOPSO -- 2.2 Hyper Heuristics -- 3 Hyper-MOPSO -- 4 Empirical Study -- 4.1 Experimental Setup -- 4.2 H-MOPSO vs. Low-Level Heuristics -- 4.3 H-MOPSO vs. MOEA/D-DRA -- 4.4 Analysis of the Probabilities -- 5 Conclusion -- References -- Algorithms -- Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts -- 1 Introduction -- 2 IM-MOEA -- 3 Adaptive Reference Vector Generation -- 4 Simulation Results -- 5 Conclusion -- References -- MOEA/PC: Multiobjective Evolutionary Algorithm Based on Polar Coordinates -- 1 Introduction -- 2 Algorithm Design -- 2.1 Preliminaries -- 2.2 Proposed Framework -- 3 Performance Assessment -- 3.1 Experimental Setup -- 3.2 Parametrization -- 3.3 Performance Comparison -- 4 Conclusions -- References -- GD-MOEA: A New Multi-Objective Evolutionary Algorithm Based on the Generational Distance Indicator -- 1 Introduction -- 2 Generational Distance Indicator. 3 =.28em plus .1em minus .1em A Distribution Technique Based on Euclidean Distances -- 4 Our Proposal -- 4.1 Generational Distance - Multi-Objective Evolutionary Algorithm (GD-MOEA) -- 5 Experimental Results -- 5.1 Performance Indicators -- 5.2 Discussion of Results -- 6 Conclusions and Future Work -- References -- Experiments on Local Search for Bi-objective Unconstrained Binary Quadratic Programming -- 1 Introduction -- 2 Bi-objective UBQP -- 2.1 Problem Formulation -- 2.2 Definitions -- 2.3 Problem Instances -- 3 Characteristics of Small-Size bUBQP Instances -- 3.1 Pareto Optimal Solutions -- 3.2 Supported Solutions -- 3.3 Connectedness -- 3.4 Pareto Local Optimal Solutions -- 4 Local Search for bUBQP -- 4.1 Main Ingredients -- 4.2 Scalarizing Local Search with Uniform Weights (SLSunif) -- 4.3 Dichotomic Scalarizing Local Search (SLSdicho) -- 4.4 Pareto Local Search (PLS) -- 4.5 Two-Phase Local Search (TP-LS) -- 5 Experimental Analysis -- 5.1 Experimental Design -- 5.2 Experimental Results -- 6 Conclusions -- References -- A Bug in the Multiobjective Optimizer IBEA: Salutary Lessons for Code Release and a Performance Re-Assessment -- 1 Introduction -- 2 IBEA -- 3 The Bug -- 4 Concrete Implications for the Performance of IBEA -- 4.1 Experimental Setup -- 4.2 Comparison Between Buggy and Corrected IBEAHD -- 4.3 Invariance With Respect to Objective Permutations -- 5 General Implications on How to Write, Document, and Distribute Algorithm Implementations -- 6 Conclusions -- References -- A Knee-Based EMO Algorithm with an Efficient Method to Update Mobile Reference Points -- 1 Introduction -- 2 TKR-NSGA-II -- 3 Proposed Method -- 3.1 Basic Structure -- 3.2 Reference Point Selection Strategy -- 4 Computational Experiment -- 4.1 Benchmark Problem -- 4.2 Real World Problem -- 5 Conclusion -- References. A Hybrid Algorithm for Stochastic Multiobjective Programming Problem -- 1 Introduction -- 2 Mathematical Formulation -- 2.1 Description of Stochastic Multiobjective Programming Problem -- 2.2 Equivalent Deterministic Models -- 3 Hybrid Intelligent Algorithm for Stochastic MOP Problem -- 3.1 Design of Hybrid Intelligent Algorithm -- 3.2 Performance Test -- 4 Application on A Theoretical Case -- 5 Conclusions -- References -- Parameter Tuning of MOEAs Using a Bilevel Optimization Approach -- 1 Introduction -- 2 Background -- 2.1 Classification and Terminology -- 2.2 Related Work -- 3 Experimental Design -- 3.1 Experimental Setup -- 3.2 Experimental Settings -- 3.3 Meta-EA Parameters -- 3.4 Parameters -- 3.5 Performance Measure -- 4 Experimental Results -- 4.1 Population Size -- 4.2 Mutation Probability: 1/N Rule of Thumb -- 4.3 Mutation Probability vs. Budget Sizes -- 4.4 Budget Size, pc and c -- 4.5 Hypervolume Comparisons Between NSGA-II and NSGA-III -- 5 Conclusions and Further Work -- References -- Pareto Adaptive Scalarising Functions for Decomposition Based Algorithms -- 1 Introduction -- 2 Decomposition Approaches -- 3 The Choice of a Suitable Lp Scalarising Function -- 3.1 Analysis: Property of Different Lp Scalarising Functions -- 3.2 Methodology: Estimation of the Pareto Front Geometry on Line -- 4 Experiments and Discussions -- 4.1 Experimental Descriptions -- Test Problems. -- General Parameters. -- 4.2 Experimental Results -- Median Attainment Surfaces. -- Comparison Results in Terms of the HV and C Metrics. -- 4.3 Experimental Discussions -- Observation of the Obtained p Values. -- Analysis of the Range of the Initial Candidate p Values. -- 5 Conclusion -- References -- A Bi-level Multiobjective PSO Algorithm -- 1 Introduction -- 2 The Bi-level Multiobjective Optimization Problem -- 3 Bi-level Multiobjective Algorithms. 3.1 BLEMO Algorithm. EBL202103 XX SzGeCERN BOOK Henggeler Antunes, Carlos Coello, Carlos Coello Gaspar-Cunha, António https://cds.cern.ch/auth.py?r=EBLIB_P_6283554 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2756907 BOOK MIGRATED 2756879 SzGeCERN 20210421184137.0 9783662457375 electronic version electronic version 9783662457368 print version oai:cds.cern.ch:2756879 cerncds:BOOK EBL 6283455 eng G70.2 .G465 2015 025.0691 Bian, Fuling Geo-informatics in resource management and sustainable ecosystem international conference, GRMSE 2014, Ypsilanti, USA, October 3-5, 2014, proceedings Berlin Springer 2015 779 p ebook Communications in computer and information science 482 Intro -- Preface -- Organization -- Table of Contents -- Smart City in Resource Management &amp -- SustainableEcosystem -- Economies of Scale, Economies of Scope and FinancialHolding Companies Appropriate/Moderate ScaleManagement -- 1 Introduction -- 2 Related Literature -- 3 Research Plan -- 3.1 Method of Research -- 3.2 Sample Selection and Data Sources -- 3.3 Variables -- 4 Empirical Results Analysis -- 4.1 Analysis of Scale Economies -- 4.2 Analysis of Economies of Scope -- 5 Conclusions and Suggestions -- References -- Research of Data Resource Management Platform in Smart City -- 1 Introduction -- 2 Connotation of City Data Resource -- 2.1 Content Classification of City Data -- 2.2 Conceptual Model of City Data -- 3 Key Techniques of Data Resource Management Platform -- 3.1 Comprehensive Data Acquisition -- 3.2 Data Storage and Dynamical Update -- 3.3 Fusion Method for Multi-source Heterogeneous Data -- 3.4 Full-Scale Data Encoding -- 3.5 Space-Time Data Warehouse Technology -- 4 Implementation of Data Resource Management Platform -- 4.1 Function Design -- 4.2 Application Case -- 5 Conclusion -- References -- Study on Urban Multidimensional Niche of UrbanAgglomeration in Northern Slope of Tianshan Mountains -- 1 Introduction -- 2 Evaluation Model -- 2.1 Breadth Model -- 2.2 Differentiation Index Model -- 2.3 Measurement Index System -- 3 Calculation and Analysis -- 3.1 Data Acquisition and Processing -- 3.2 Urban Comprehensive Niche Breadth -- 3.3 Urban Niche Breadth of Factors -- 3.4 Urban Niche Differentiation Index -- 4 Conclusions -- References -- Localized Spatial Association: A Case Studyfor Understanding Vegetation Successions in a TypicalGrassland Ecosystem -- 1 Introduction -- 2 Problem Definition -- 3 A Quadtree-Based Framework -- 3.1 Indicators for the Framework -- 3.2 Structure of a Quadtree -- 4 Application -- 5 Conclusion. References -- Spatial Data Acquisition through RS and GIS inResource Management &amp -- Sustainable Ecosystem -- Construct Climate Observation Network and DiscoverSimilar Observation Stations -- 1 Introduction -- 2 Basic Methodology of Network Construction -- 2.1 Vertices -- 2.2 Edges -- 2.3 Data -- 2.4 Correlation Measures -- 2.5 Obtaining the Network Adjacency Matrix -- 3 Construct Climate Observation Network in Chengdu -- 4 The Experimental Results -- 5 Verify the Network Rationality -- 6 Conclusions -- References -- The Design and Application of the Gloud GIS -- 1 Introducation -- 2 The Gloud Environment Design -- 3 The Service Platform of GIS in Gloud -- 4 Implementation of the Gloud GIS -- 4.1 The Experimental Environment in Gloud -- 4.2 Designing and Deployment of Public Service Platform of the GLoud GIS -- 5 Results and Conclusion -- 5.1 The Operation Results -- 5.2 Analysis and Discussion -- 6 Conclusions -- References -- Monitoring the Dynamic Changes in Urban LakesBased on Multi-source Remote Sensing Images -- 1 Introduction -- 2 Study Area and Materials -- 2.1 Study Area -- 2.2 Materials -- 2.3 Research Progress -- 3 Methodology -- 3.1 High-Resolution Image Classification -- 3.2 Lake Boundary Change Monitoring -- 3.3 Retrieval of Lake Water Environment Indicators -- 4 Results -- 4.1 Classification Result Based on GF1 Imagery -- 4.2 Monitoring Result of Lake Boundary Change -- 4.3 Retrieval Result of Lake Chlorophyll and Surface Temperature -- 5 Conclusion -- References -- Automatic Extraction of Building Footprintsfrom LIDAR Using Image Based Methods -- 1 Introduction -- 2 Building Footprints Extraction -- 2.1 Georeferenced Feature Image Generation -- 2.2 Image Threshold Segmentation -- 2.3 Morphological Close Operation -- 2.4 Connectivity Analysis -- 2.5 Contour Tracing Method -- 3 Experiment and Analysis. 3.1 Georeferenced Feature Image Generation -- 3.2 Image Threshold Segmentation Outcome -- 3.3 Connectivity Analysis Outcome -- 3.4 Building Footprints Extraction Outcome -- 4 Conclusion -- References -- Ecological and Environmental Data Processing andManagement -- Research on Visualization of Ocean Environment Data Using ArcGIS -- 1 Introduction -- 2 Related Work -- 3 Basic Concepts and Methods -- 3.1 Data Classification -- 3.2 Feature Class -- 3.3 Spatial Reference -- 4 Experiments -- 5 Conclusion -- References -- The Design of a Collaborative Social Network for Watershed Science -- 1 Introduction -- 1.1 Background -- 2 Related Work -- 3 System Architecture -- 4 Distributed Data Warehouse Model -- 4.1 Data Warehouse Design -- 4.2 Extraction Transformation and Loading of External Data Sources -- 5 Social Networking Interface -- 6 Conclusion -- References -- Construction Land Layout in Qi River Ecological District of Hebi City Based on GIS -- 1 Introduction -- 2 Research Methodologies -- 3 Empirical Analyses -- 3.1 Full-Sized Camera-Ready (CR) Copy Ecological Area Construction LandAnalysis of Qi River in Hebi -- 3.2 Ecological Area Construction Layout of Land Suitability Evaluation -- 3.3 Ecological Sensitivity Assessment of the Layout of Ecological Zone Construction Land -- 3.4 Comprehensive Assessment of the Construction Land in Ecological Area -- 4 Suggestion of the Reasonable Layout of Qi River Construction Land in Ecological Zone -- 4.1 Suggestion for Urban Construction Land -- 4.2 Suggestion for Rural Settlements -- 4.3 Suggestion for Rural Settlements the Existing Independent Industrial and Mining -- 4.4 Suggestion for Traffic Land -- 4.5 Suggestion for Waters and Water Conservancy Facilities -- 4.6 Suggestion for Scenic Spots and Special Use Land -- 5 Conclusion -- References. Accelerated Extraction Technology Researchon Damaged Building Information by Earthquake Based on LiDAR Image -- 1 Introduction -- 2 Data Acquisition and Preprocessing -- 3 Extraction of Object-Oriented Damaged Building Information -- 3.1 Multi-scale Segmentation -- 3.2 Construction of Feature Space -- 3.3 Object-Oriented Image's Classification -- 4 Evaluation of Classification Accuracy -- 5 Conclusion -- References -- Finger-Screen Interaction Mechanism on 3D Virtual Globe for Mobile Terminals -- 1 Introduction -- 2 Finger-Screen Interaction Mechanism -- 2.1 Virtual Camera Principle Based on Quaternion in Virtual Globe -- 2.2 Basic Process of the Interaction Mechanism -- 2.3 Gesture Simulation and Scene Interaction -- 2.4 Error Control and Interference Eliminating -- 3 Experiment -- 4 Conclusion -- References -- GIS Spatial Data Updating AlgorithmBased on Digital Watermarking Technology -- 1 Introduction -- 2 Process of GIS Spatial Data Updating -- 3 Data Updating Algorithm Based on Digital WatermarkingTechnology -- 3.1 The Data Updating Process Based on Watermark Technology -- 3.2 Watermark Embedding and Detecting -- 3.3 Watermark Removing -- 4 Experiments and Analysis -- 4.1 Experimental Analysis of Watermarking Embedding -- 4.2 Experimental Analysis of Data Updating -- 4.3 Experimental Analysis of Watermarking Detection -- 4.4 Experimental Analysis of Watermarking Removing -- 5 Conclusions -- Hyperspectral Satellite Remote Sensingof Dust Aerosol Based on SVD Method -- 1 Introduction -- 2 Algorithm Theoretical Basis [6] -- 3 Inversion Method [7] -- 4 Data Preprocessing -- 4.1 Narrowband Gas Absorption -- 4.2 High Clouds and Inhomogeneous Field -- 4.3 Surface Tests -- 5 Dust Aerosol Model -- 6 Dust Aerosol Optical Thickness Retrieval -- 6.1 The Singular Value Decomposition of Equivalent Optical Thickness. 6.2 Preliminary Calculations Dust Aerosol Optical Thickness -- 6.3 Iteration Principal -- 7 Examples -- 8 Summary -- References -- The Study of Complex Network of Search Keyword -- 1 Introduction -- 1.1 Background and Necessity of the Research -- 1.2 Content of Research -- 1.3 Experimental Progress -- 2 Data Preprocessing -- 2.1 Data Cleaning -- 2.2 Matrix Affiliation -- 3 Keyword Network Complexity Analysis -- 3.1 Structure Property of the Query Network -- 3.2 Growth of the Complexity Network -- 3.3 Self-organization of the Query Network -- 4 Conclusion -- References -- Fast MAP-Based Super-Resolution Image Reconstructionon GPU-CUDA -- 1 Introduction -- 2 MAP-Based Method on GPU-CUDA -- 2.1 Image Acquisition Model -- 2.2 Image Registration on GPU-CUDA -- 2.3 Super-Resolution Based on MAP -- 3 Experimental Results and Analysis -- 4 Conclusions -- References -- Remote Sensing Image Segmentation Based on MeanShift Algorithm with Adaptive Bandwidth -- 1 Introduction -- 2 Basic Idea of Mean Shift Algorithm -- 3 Improved Mean Shift Algorithm with Adaptive Bandwidth -- 4 Experimental Results -- 5 Conclusions -- References -- Watermarking Algorithm Based on Data Featurefor Tile Map -- 1 Introduction -- 2 Characteristic Analysis of Tile Map and Its Requirements onWatermarking Algorithm -- 3 The Embedding and Detection Algorithm of Watermarkingfor Tile Map -- 3.1 The Generation and Embedding Algorithm of Watermarking Information -- 3.2 The Watermarking Detection Algorithm -- 4 Experiments and Analysis -- 4.1 Invisibility -- 4.2 Robustness -- 5 Conclusions -- References -- Observation Scheduling Problem for Multi-taskwith Complex Constraints -- 1 Introduction -- 2 Multi-Target and Multi-Resource Scheduling -- 2.1 Definitions of the Parameters -- 2.2 Constraints in the Model -- 3 Scheduling Process Based on Improved ACO Algorithm -- 3.1 Transition Principle. 3.2 Pheromone Concentration Updating. EBL202103 XX SzGeCERN EBL Geography-Data processing-Congresses EBL Remote sensing-Congresses BOOK Xie, Yichun https://cds.cern.ch/auth.py?r=EBLIB_P_6283455 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2756879 BOOK MIGRATED 2756877 SzGeCERN 20210421184137.0 9783642036033 electronic version electronic version 9783642036026 print version oai:cds.cern.ch:2756877 cerncds:BOOK EBL 6283447 eng QA76.9.D343 .A346 2009 006.3 Cao, Longbing Agents and data mining interaction 4th international workshop on agents and data mining interaction, ADMI 2009, Budapest, Hungary, May 10-15,2009, revised selected papers Berlin Springer 2009 204 p ebook Lecture notes in computer science 5680 Intro -- Title Page -- Preface -- Organization -- Table of Contents -- Part I Invited Talks and Papers -- Agents and Data Mining in Bioinformatics: Joining Data Gathering and Automatic Annotation with Classification and Distributed Clustering -- Introduction -- Background -- Bioinformatics Databases -- An Agent-Based Environment for Automating Annotation -- Integrating Knowledge through Cooperative Negotiation -- Case Study in Automated Annotation of Proteins -- Results and Discussion -- Selection of Data Sets of Motifs as Attributes in the Process of Automating the Annotation of Proteins' Keywords -- Enzyme Classification -- Multiagent Clustering -- Conclusion -- Knowledge-Based Reinforcement Learning for Data Mining -- Extended Abstract -- Ubiquitous Intelligence in Agent Mining -- Introduction -- Data Intelligence -- What Is Data Intelligence -- Aims of Involving Data Intelligence -- Aspects of Data Intelligence -- Domain Intelligence -- What Is Domain Intelligence -- Aims of Involving Domain Intelligence -- Aspects of Domain Intelligence -- Network Intelligence -- What Is Network Intelligence -- Aims of Involving Network Intelligence -- Aspects of Network Intelligence -- Human Intelligence -- What Is Human Intelligence -- Aims of Involving Human Intelligence -- Aspects of Human Intelligence -- Organizational Intelligence -- What Is Organizational Intelligence -- Aims of Involving Organizational Intelligence -- Aspects of Organizational Intelligence -- Social Intelligence -- What Is Social Intelligence -- Aims of Involving Social Intelligence -- Aspects of Social Intelligence -- Discussions -- Conclusion -- Agents Based Data Mining and Decision Support System -- Introduction -- Problem Statement -- Structure of the System -- System Functioning Algorithm -- Gathered Results -- Conclusions -- Part II Agent-Driven Data Mining. Agent-Enriched Data Mining Using an Extendable Framework -- Motivation and Goals -- Related Work -- EMADS Overview -- System Structure -- Agent Interactions -- System Extendibility -- System Demonstration -- Meta ARM (Association Rule Mining) Scenario -- Classifier Generation Scenario -- Conclusions -- Auto-Clustering Using Particle Swarm Optimization and Bacterial Foraging -- Introduction -- Background -- Particle Swarm Optimization Exposed -- Bacterial Foraging Algorithms -- PSO/BFA Multiagent Clustering -- PSO Clustering -- Automatic PSO Clustering -- AutoCB Clustering -- The AutoCPB Algorithm -- Experimental Results -- Environmental Settings -- Cluster Validation -- Benchmark Testing -- Final Discussion -- A Self-Organized Multiagent System for Intrusion Detection -- Introduction -- Overview of the Proposed Multiagent System -- New Growing SOM Model -- Experimental Results -- Conclusions -- Towards Cooperative Predictive Data Mining in Competitive Environments -- Introduction -- Related Work -- Problem Description -- Relevant Measures -- Private Knowledge Loss -- Classification Accuracy -- Naïve Bayes for Multi-agent Data Mining -- Naïve Bayes Classifier -- Joining Naïve Bayes Models -- Cooperation Strategies -- Model and Sub-model Sharing -- Data Classification -- Experiments -- Experiment Domain and Setting -- Results for the Model Sharing Strategy -- Results for the Data Classification Strategy -- Strategy Comparison -- Conclusion -- Part III Data Mining Driven Agents -- Improving Agent Bidding in Power Stock Markets through a Data Mining Enhanced Agent Platform -- Introduction -- Power Markets -- Power Market Auctions -- State-of-the-Art -- Developed System -- Cassandra Architecture -- Cassandra Users -- Implementation -- Preliminary Results -- Training -- Meta Classification -- Data Mining Experiment Results -- Pilot Case Scenario. Future Work -- Enhancing Agent Intelligence through Data Mining: A Power Plant Case Study -- Introduction -- Main IPPAMAS Issues -- Sensor Validation and Estimation -- Decision Support -- Information Flow -- Research Areas -- Knowledge Engineering -- Data Mining -- Multiagent System -- Methodology -- MAS Architecture -- DM Models -- DM Results -- Evaluation -- Conclusion -- A Sequence Mining Method to Predict the Bidding Strategy of Trading Agents -- Introduction -- Bidding Strategies -- Zero-Intelligence Constrained (ZI-C) -- Zero-Intelligence Plus (ZIP) -- Gjerstad-Dickhaut (GD) -- Roth-Erev (RE) -- Reverse TAC (``CAT'') Game -- Agent Mertacor -- Auctioneer -- Market Client -- Accepting Policy -- Matching Policy -- Clearing Condition -- Pricing Policy -- Charging Policy -- Predicting the Bidding Strategy -- Modeling the Problem -- Our Approach -- Related Work -- Conclusions and Future Work -- Part IV Agent Mining Applications -- Agent Assignment for Process Management: Pattern Based Agent Performance Evaluation -- Introduction -- Workflow Management -- Overview -- Overview of Agent Assignment Strategies -- PAPE System Architecture -- Preprocessing Phase -- Integrated Data Structure Generation Phase -- Pattern Based Agent Performance Evaluation -- Agent Assignment Learning Phase -- Agent Assignment Updating Phase -- Experimental Results -- Related Work -- Conclusion and Future Work -- Concept Learning for Achieving Personalized Ontologies: An Active Learning Approach -- Introduction -- Representing Knowledge -- Actively Learning a Concept -- Determining Semantic Equivalence -- Selection of Examples -- Significance of Instances -- Putting It Together -- Evaluation -- Discussion -- The Complex Dynamics of Sponsored Search Markets -- Introduction -- The Data Set -- Complex Systems Analysis Applied to the Web and Economics -- Power Laws: Definition. Influence of Display Rank on Clicking Behavior -- Results on Display Position Bias and Interpretation -- Market Structure at the Advertiser Level -- Distribution of Impressions vs. Distribution of Clicks for the Top Advertisers -- Distribution of Market Share Per Display Rank Position -- Using Click Data to Derive Search Term Recommendations -- Deriving Distances from Co-occurrence in Sponsored Click Logs -- Constructing Keyword Correlation Graphs -- Graph Correlation Graphs: Results -- Automatic Identification of Sets of Keywords -- The Graph Partitioning Algorithm -- Discussion of Graph Partitioning Results -- Discussion -- Contribution of the Paper and Related Work -- Future Work -- Author Index. EBL202103 XX SzGeCERN EBL Data mining-Congresses BOOK Gorodetsky, A E Liu, Jiming Weiß, Gerhard Yu, Philip S https://cds.cern.ch/auth.py?r=EBLIB_P_6283447 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2756877 BOOK MIGRATED 2756847 SzGeCERN 20210421184139.0 9783319276748 electronic version electronic version 9783319276731 print version oai:cds.cern.ch:2756847 cerncds:BOOK EBL 6283331 eng QA76.575 .M858 2016 006.7 Tian, Qi Multimedia modeling 22nd international conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, proceedings, part II Cham Springer International Publishing AG 2016 450 p ebook Lecture notes in computer science 9517 Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Special Session Poster Papers (continued) -- Transfer Nonnegative Matrix Factorization for Image Representation -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Nonnegative Matrix Factorization -- 3.2 Hessian Regularization -- 4 Transfer Nonnegative Matrix Factorization -- 4.1 Problem Definition -- 4.2 Proposed Approach -- 4.3 Optimization -- 5 Experiments -- 5.1 Dataset Description -- 5.2 Performance on Cross-Domain Datasets -- 6 Conclusion -- References -- Sentiment Analysis on Multi-View Social Data -- 1 Introduction -- 2 Related Works -- 2.1 Sentiment Analysis Datasets -- 2.2 Sentiment Analysis Approaches -- 3 The MVSA Dataset -- 3.1 Data Collection and Annotation -- 3.2 Data Analysis -- 4 Predicting Sentiment in Multi-view Data -- 4.1 Text-Based Approaches -- 4.2 Visual-Based Approaches -- 4.3 Multi-view Sentiment Analysis -- 5 Experiments -- 5.1 Results on Textual Messages -- 5.2 Results on Images -- 5.3 Results on Multi-View Data -- 6 Conclusion and Future Work -- References -- Single Image Super-Resolution via Convolutional Neural Network and Total Variation Regularization -- Abstract -- 1 Introduction -- 2 Overview of the SR Algorithm -- 3 Convolutional Neural Network for SR -- 3.1 Training Set Generation -- 3.2 Convolutional Neural Network for SR -- 4 Regularization Constraints for SR -- 4.1 Non-Local Similarity Regularization Constraint -- 4.2 Local Similarity Regularization Constraint -- 4.3 Fundamental Formula -- 5 Experimental Results -- 5.1 Datasets -- 5.2 Results and Comparison -- 6 Conclusion -- References -- An Effective Face Verification Algorithm to Fuse Complete Features in Convolutional Neural Network -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Network Structure -- 3.2 Feature Extraction -- 3.3 Verification. 4 Experiments -- 5 Conclusion -- References -- Driver Fatigue Detection System Based on DSP Platform -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Face Detection -- 2.2 Eye Detection -- 2.3 Eye State Estimation -- 3 Experiment and Results -- 3.1 Experiment Setting -- 3.2 Experimental Results -- 4 Conclusion -- References -- Real-Time Grayscale-Thermal Tracking via Laplacian Sparse Representation -- 1 Introduction -- 2 Related Work -- 3 Bayesian Filtering for Object Tracking -- 4 Observation Model -- 4.1 Laplacian Sparse Representation -- 4.2 Candidate Likelihood -- 5 Experiments -- 5.1 Evaluation Settings -- 5.2 Evaluation Metrics -- 5.3 Comparison Results -- 5.4 Component Analysis -- 6 Conclusion -- References -- Efficient Perceptual Region Detector Based on Object Boundary -- 1 Introduction -- 2 Related Work -- 2.1 Superpixel -- 2.2 Local Detectors -- 2.3 General Object Proposal -- 3 CAR: The Method -- 3.1 Contour-Aware Superpixel (CAS) -- 3.2 Perceptual Regions Detection -- 4 Experiments -- 4.1 Under-Segmentation Error -- 4.2 Boundary Recall -- 4.3 CAR Detector Repeatability -- 5 Conclusions -- References -- 1D Barcode Region Detection Based on the Hough Transform and Support Vector Machine -- Abstract -- 1 Introduction -- 2 Proposed Method -- 2.1 Barcode Detection -- 2.2 Support Vector Machine -- 2.3 Hough Transform -- 2.4 Using the SVM Classifier to Judge Pieces of the Image -- 2.5 Post-processing -- 3 Experiments and Results Analysis -- 3.1 Datasets -- 3.2 Result -- 4 Conclusion -- Acknowledgment -- References -- Special Session Papers -- Client-Driven Strategy of Large-Scale Scene Streaming -- 1 Introduction -- 2 Related Works -- 3 Overview -- 4 Multiple-resolution 3D Space Adaptive Grid Creation -- 5 Scene Streaming Assemble Strategy -- 5.1 Dynamic Double Layer AOI (D-DLAOI) -- 5.2 Object Priority Determination and LOD Resolution. 6 Experimental Results -- 7 Conclusion and Future Work -- References -- SELSH: A Hashing Scheme for Approximate Similarity Search with Early Stop Condition -- 1 Introduction -- 2 Preliminaries -- 2.1 Problem Definition -- 2.2 Notations -- 3 Related Work -- 4 Our Method -- 4.1 LSH Function -- 4.2 Distance Measure, Linear Order and Early Stop Condition -- 4.3 Index Structure -- 4.4 Search Process -- 4.5 Complexity Analysis -- 5 Experimental Results -- 5.1 Set up -- 5.2 Selection of Appropriate Parameters -- 5.3 Comparison with SK-LSH and C2LSH -- 6 Conclusion -- References -- Learning Hough Transform with Latent Structures for Joint Object Detection and Pose Estimation -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Hough-Based Object Detection -- 3.2 Latent Deformable Feature Model -- 3.3 Multiple Instance Learning for M2HT -- 4 Experiment -- 4.1 Experiment Settings -- 4.2 Object Detection -- 4.3 Car Pose Estimation -- 5 Conclusion -- References -- Consensus Guided Multiple Match Removal for Geometry Verification in Image Retrieval -- 1 Introduction -- 2 Approximate Feature Matching -- 3 Geometric Verification by Hough Voting -- 4 Consensus Guided Multiple Match Removal -- 5 Experiments -- 5.1 Datasets and Evaluation -- 5.2 Experimental Setup -- 5.3 Experimental Results -- 6 Conclusion -- References -- Locality Constrained Sparse Representation for Cat Recognition -- 1 Introduction -- 2 The Methodology -- 2.1 Overview -- 2.2 Problem Formalism for Sparse Feature Representation -- 2.3 Supervised Dictionary Learning Approach -- 2.4 Recognition Task -- 3 Experimental Results -- 3.1 Dataset and Experimental Settings -- 3.2 Performance Evaluation -- 4 Conclusion and Future Work -- References -- User Profiling by Combining Topic Modeling and Pointwise Mutual Information (TM-PMI) -- Abstract -- 1 Introduction -- 2 The Proposed Approach. 2.1 Framework of the Proposed Approach -- 2.2 Data Preprocessing -- 2.3 LDA from Description of User Pins -- 2.4 Pointwise Mutual Information (PMI) -- 2.5 Personal Topic Words Extraction -- 2.6 Pins Recommended Based User Profile -- 3 Experiments -- 3.1 Dataset -- 3.2 Perplexity -- 3.3 User Study -- 3.4 Influence of the Number of Topic Words on the Result -- 4 Conclusion and Future Work -- References -- Image Retrieval Using Color-Aware Tag on Progressive Image Search and Recommendation System -- 1 Introduction -- 2 Related Works and Preliminaries -- 2.1 Related Works -- 2.2 PISAR System and WAS Algorithm -- 3 CAT Algorithm -- 3.1 Offline Phase -- 3.2 Online Phase -- 4 Experiment -- 4.1 Experimental Environment -- 4.2 Optimizing the Parameters in the CAT Algorithm -- 4.3 Example of Image Retrieval -- 4.4 Image Retrieval Result -- 5 Conclusions -- References -- Advancing Iterative Quantization Hashing Using Isotropic Prior -- 1 Introduction -- 2 Related Work -- 3 Isotropic Iterative Quantization -- 3.1 Preliminaries -- 3.2 Improving ITQ Using the Isotropic Prior -- 4 Experiments -- 5 Conclusion -- References -- An Improved RANSAC Image Stitching Algorithm Based Similarity Degree -- Abstract -- 1 Introduction -- 2 The Improved RANSAC Based Similarity Degree -- 2.1 Transformation Matrix of Image Registration -- 2.2 Calculation Method for RANSAC Sampled -- 2.3 Feature Points Matching in Coarse Matching Step -- 3 Pretreatment -- 4 Experimental Results and Analysis -- 5 Conclusions -- References -- A Novel Emotional Saliency Map to Model Emotional Attention Mechanism -- Abstract -- 1 Introduction -- 2 Emotional Saliency Map -- 2.1 Color Emotion Space -- 2.2 Emotional Saliency Map Computation -- 3 Experiments -- 3.1 Data Set and Error Measure -- 3.2 Experiments on Horror Image Set -- 3.3 Experiments on MS Image Set -- 4 Conclusion -- Acknowlegment. References -- Automatic Endmember Extraction Using Pixel Purity Index for Hyperspectral Imagery -- Abstract -- 1 Introduction -- 2 Pixel Purity Index -- 3 Automatic Endmember Extraction Using Pixel Purity Index -- 3.1 Determining the Number of Endmembers Based on Noise Subspace Projection -- 3.2 Data Dimensionality Reduction by Improving Noise Covariance Matrix (NCM) Estimation for MNF Transformation -- 3.3 Experimental Results and Analysis -- 4 Conclusions -- Acknowledgment -- References -- A Fast 3D Indoor-Localization Approach Based on Video Queries -- 1 Introduction -- 2 Related Work -- 3 Fast 3D Indoor-Localization -- 3.1 Pipeline -- 3.2 Deblurring Query Images -- 3.3 Interactive Foreground Segmentation -- 3.4 Dynamic Scene Query for Localization -- 4 Graph Matching Verification -- 5 Experiments -- 6 Conclusion -- References -- Smart Ambient Sound Analysis via Structured Statistical Modeling -- 1 Introduction -- 2 Multilayer Based Ambient Sound Understanding -- 2.1 Audio Preprocessing -- 2.2 Structured Environmental Sound Modelling -- 2.3 Segment Based Adaptation -- 2.4 Audio Concept Estimation Using SVM -- 3 Experimental Configuration -- 3.1 Data Collections -- 3.2 Methodology and Evaluation Metrics -- 3.3 Competitors for Performance Comparison -- 4 Experiment Results -- 5 Conclusions -- References -- Discriminant Manifold Learning via Sparse Coding for Image Analysis -- 1 Introduction -- 2 Discriminant Manifold Learning via Sparse Coding (DML_SC) -- 2.1 Motivation -- 2.2 Dictionary Learning and Feature Regrouping -- 2.3 Graph Embedding -- 3 Experiment Results -- 3.1 Data Preparation and Representation -- 3.2 Face Recognition Results -- 3.3 Clustering Experiment on COIL20 Database -- 4 Conclusion -- References -- A Very Deep Sequences Learning Approach for Human Action Recognition -- Abstract -- 1 Introduction -- 2 Related Work. 2.1 Convolutional Neural Networks. EBL202103 XX SzGeCERN BOOK Sebe, Nicu Qi, Guo-Jun Huet, Benoit Hong, Richang Liu, Xueliang https://cds.cern.ch/auth.py?r=EBLIB_P_6283331 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2756847 BOOK MIGRATED 2756837 SzGeCERN 20210421184139.0 9783540698661 electronic version electronic version 9783540698647 print version oai:cds.cern.ch:2756837 cerncds:BOOK EBL 6283293 eng QA75.5-76.95 006.37 Jähne, Bernd Complex motion first international workshop, IWCM 2004, Günzburg, Germany, October 12-14, 2004, revised papers Berlin Springer 2007 244 p ebook Lecture notes in computer science 3417 Intro -- Title Page -- Preface -- Organization -- Table of Contents -- Optical Flow Estimation from Monogenic Phase -- Introduction -- Why Is Phase-Based Image Processing Preferable? -- The Image Model of Local Phase -- Lighting Invariance and Perceptual Image Contents -- The Monogenic Signal: A Survey -- Spherical Quadrature Filter -- Extracting Local Phase -- Estimating the Local Frequency -- A Concrete Filter Set -- Optical Flow Estimation -- Local Displacements -- Some Examples -- Summary and Outlook -- Optimal Filters for Extended Optical Flow -- Introduction -- Consistent FIR-Filters -- One-Dimensional Filters -- Spatio-temporal Filters -- Filter Design as Optimization -- Linear Models for Extended Optical Flow -- Objective Functions for Extended OF -- Error Functionals -- Results -- Pure Optical Flow -- Optical Flow and Exponential Decay -- Optical Flow and Diffusion -- Summary and Conclusion -- References -- Wiener-Optimized Discrete Filters for Differential Motion Estimation -- Introduction -- Differential Approaches to Motion Analysis -- Discrete Derivative Operators -- Previous Work on Filter Design -- Wiener-Filter Approach -- The Canonical Basis -- The Optimized Filter -- Covariance Structure -- Designed Filter Sets -- Experimental Results -- Summary and Conclusion -- Boundary Characterization Within the Wedge-Channel Representation -- Introduction -- Boundary Characterization with the Structure Tensor -- The Channel Representation -- Channel Coding of the Gradient Orientation -- Wedge Channel Coding -- Results and Conclusions -- Multiple Motion Estimation Using Channel Matrices -- Introduction -- Organisation of Paper -- Channel Representation -- Encoding of Points -- Encoding of Lines -- Point Decoding -- Multiple Decodings -- Line Decoding -- Optical Flow -- Scale Selection for Optical Flow Estimation -- Experiments. Concluding Remarks -- Divide-and-Conquer Strategies for Estimating Multiple Transparent Motions -- Introduction -- Differential Methods -- Linear Part: Estimation of the Mixed Motion Parameters -- Nonlinear Part: Solving for the Motion Vectors -- Experimental Results -- Extensions -- Phase-Based Approach -- Layer Separation -- Block Matching -- Experimental Results -- Discussion -- Towards a Multi-camera Generalization of Brightness Constancy -- Introduction -- Derivation of the New BCCE -- Object, Camera and Brightness Models -- Combination of the 3 Models into a Single BCCE -- Revision of the Structure Tensor -- Experiments -- 1d Camera Grid, No z-Motion, No Normals -- 1d Camera Grid with z-Motion, No Normals -- 2d Camera Grid Without Any Motion, No Normals -- 2d Camera Grid Without Motion But With Normals -- Summary and Outlook -- Complex Motion in Environmental Physics and Live Sciences -- Introduction -- A Framework for the Estimation of Dynamic Processes -- Local Optimization of Motion Estimation -- Extension to Dynamic Processes -- Source Terms -- Relaxation Processes -- Diffusion Processes -- Forces and Acceleration -- Higher-Order Motion Fields -- Generalization -- Practical Issues -- Rank-Deficit Generalized Structure Tensors -- Unbiased Estimation -- Optimal Filtering -- Energy Tensor -- Generalized Regularization -- Conclusions and Outlook -- Bayesian Approaches to Motion-Based Image and Video Segmentation -- Introduction -- From Motion Estimation to Motion Segmentation -- Motion Estimation as Bayesian Inference -- A Normalized Velocity Likelihood -- A Geometric Prior on the Velocity Field -- A Variational Framework for Motion Segmentation -- Piecewise Parametric Motion Segmentation -- Energy Minimization -- An Eigenvalue Problem for the Motion Parameters -- Motion Competition -- Effect of the Normalization. A Multiphase Level Set Implementation -- The Two-Phase Model -- The GeneralMultiphase Model -- Redistancing -- Motion-Based Space-Time Segmentation of Videos -- Numerical Results -- AccurateMotion SegmentationWithout Features -- Segmenting SeveralMotion Phases -- Intensity Segmentation Versus Motion Segmentation -- Segmentation by Piecewise Affine Motion -- Spatio-temporalMotion Segmentation -- Conclusion -- References -- On Variational Methods for Fluid Flow Estimation -- Introduction -- Cross-Correlation PIV -- PTV -- Variational PIV/PTV -- Variational Optical Flow Estimation -- Adaption to PIV Data -- Experimental Evaluation -- Variational PTV -- General Problem Formulation -- Outlier Treatment -- Optimization -- Experimental Evaluation -- Higher Order Regularization and Natural Discretization -- Orthogonal Decomposition -- Regularization and Optimization Problems -- Estimation of Solenoidal Flows -- Numerical Example -- Conclusion and Future Works -- Motion Based Estimation and Representation of 3D Surfaces and Boundaries -- Introduction -- Thesis of the Paper -- Points and Planes -- A Representation of Points -- A Representation of Planes -- A Representation of Points and Planes -- Estimation and Results -- Summary and Conclusions -- Probabilistic Formulation of Image Registration -- Introduction -- Image Formation Model -- MAP Estimation -- Likelihood -- Prior -- EM Solution -- E-Step -- M-Step -- Experiments -- Conclusions -- Myocardial Motion and Strain Rate Analysis from Ultrasound Sequences -- Introduction -- Motion Analysis from B-Mode Echocardiograms -- Principles of Tissue Doppler Imaging -- Bimodal Motion Analysis from B-Mode and Tissue Doppler Echocardiograms -- Choice of Window Size -- Coarse-to-Fine Multi-scale Strategy -- Strain Rate Analysis -- Definition of Strain and Strain Rate -- Two-Dimensional Strain Rate Analysis. Strain Rate Visualization -- Numerical Results -- Application to Synthetic Data -- Application to Clinical Data -- Conclusion -- Determining the Translational Speed of a Camera from Time-Varying Optical Flow -- Introduction -- Camera and Image Settings -- Determining Relative Translational Speed -- Theoretical Result -- Computational Aspects -- Experimental Evaluation -- Conclusion -- A Robust Approach for Ego-Motion Estimation Using a Mobile Stereo Platform -- Introduction -- Organization of the Paper -- A General Description of the Approach -- Obtaining the Relative Orientation -- Motion Representation with Matrices -- Smoothness Motion Constraint -- Multi-frame Estimation -- Experimental Results -- Conclusion -- Robust Monocular Detection of Independent Motion by a Moving Observer -- Introduction -- Detection of Independently Moving Objects -- Essential Matrix Refinement from Image Point Correspondences -- Comparison of Different Approaches -- Robust Essential Matrix Refinement -- Sequential Monte Carle Sampling Resampling -- CONDENSATION -- Amplified Detection of Independent Motion -- Experiments -- Conclusions and Further Work -- Tracking Complex Objects Using Graphical Object Models -- Introduction -- Graphical Object Models -- Building the Graphical Model -- Learning Spatial and Temporal Constraints -- AdaBoost Image Likelihoods -- Non-parametric BP -- Proposal Process -- Experiments -- Conclusion -- Author Index. EBL202103 XX SzGeCERN EBL Computer vision-Congresses EBL Image processing-Congresses BOOK Mester, Rudolf Barth, Erhardt Scharr, Hanno Jähne, Bernd https://cds.cern.ch/auth.py?r=EBLIB_P_6283293 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2756837 BOOK MIGRATED 2756830 SzGeCERN 20210421184139.0 9783319945415 electronic version electronic version 9783319945408 print version oai:cds.cern.ch:2756830 cerncds:BOOK EBL 6283248 eng T58.5 .D545 2018 004 Liu, Kecheng Digitalisation, innovation, and transformation 18th IFIP WG 8. 1 international conference on informatics and semiotics in organisations, ICISO 2018, Reading, UK, July 16-18, 2018, proceedings Cham Springer International Publishing AG 2018 334 p ebook IFIP advances in information and communication technology 527 Intro -- Preface -- Organization -- Abstract of Keynotes -- Coupling the Digital, the Physical and the Social: New Demands for Information Systems Understanding? -- Digital Infrastructure Innovation Dynamics Computing in the Small, in the Large, and at Scale -- Organisational Semiotics Viewed as an Institution: How, as a Science in the Organisational Sense, Can it Best Functions? -- Contents -- Organisational Semiotics: Theory and Application -- Understanding the Boundary Between Information Systems and Organizational Semiotics: POS as Case Study -- Abstract -- 1 Introduction -- 2 Document Review -- 3 Conceptual Design -- 3.1 Logical Architecture for Restaurants Information System -- 3.2 Methodology for This Qualitative Research -- 4 Findings -- 4.1 Describing Morphology for a Restaurant Information System -- 4.2 Describing Morphology for Restaurant Information System -- 5 Conclusions and Future Work -- References -- The Role of Language in Human Information Interaction: A Social Semiotic View -- Abstract -- 1 Introduction -- 2 Studies and Development of Human Information Interaction -- 3 Language and HII -- 3.1 A Social Semiotic View of HII -- 4 Results and Discussion -- 5 Conclusion -- Appendix: The 5 Questions in the Questionnaire -- References -- Building a Socio-Technical Perspective of Community Resilience with a Semiotic Approach -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Method -- 4 Semiotic-Based Analysis -- 4.1 Stakeholders and Their Concerns -- 4.2 Towards Socio-Technical Requirements -- 5 Situating Community Resilience -- 6 Discussion and Conclusion -- References -- Norm-Based Abduction Process (NAP) in Developing Information Architecture -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Information Architecture -- 2.2 Abduction in Design Research -- 3 Norm-Based Abduction Process (NAP). 4 Case Study: NAP in Developing IA for a UK Hospital -- 5 Discussions and Conclusion -- References -- Extending Technology Acceptance Model for Proximity Mobile Payment via Organisational Semiotics -- Abstract -- 1 Introduction -- 2 Context and Motivation -- 3 Theoretical Background -- 3.1 Technology Acceptance Model (TAM) and Its Extensions -- 3.2 Organisational Semiotics (OS) -- 4 OS Perspective to TAM for Mobile Payment -- 5 Discussion and Conclusion -- References -- Towards a Semiotic-Based Approach to the Design of Therapeutic Digital Games -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Methodology to Formalize the Approach -- 4 Analyzing the Design of a Therapeutic Game for the Depression -- 5 An Approach to the Design of Therapeutic Games -- 6 Approach Evaluation -- 7 Conclusion and Future Works -- Acknowledgements -- References -- Intensive Innovation: A Semiotic View -- Abstract -- 1 Introduction -- 2 A Semiotic Approach of Design -- 2.1 A Multi-viewpoints Semiotics Methodology -- 2.2 First Definitions -- 3 C-K Theory, a Theory of Innovative Design -- 3.1 Assumptions and Definition of Design -- 3.2 The Dual Dynamics of Design -- 4 Conclusion: Toward a Semiotic Interpretation of the Innovation Process -- References -- Norm-Based Approach to Incorporate Human Factors into Clinical Pathway: Reducing Human Error and Improving Patient Safety -- Abstract -- 1 Introduction -- 2 Norm Based Approach for Incorporating Human Factors into Clinical Pathways -- 3 Human Failure -- 4 Human Factors -- 5 Failure Mode and Effects Analysis -- 6 Human Failure Modes and Effects Analysis (HFMEA) -- 6.1 Controls -- 6.2 Predictive Controls -- 6.3 Personal Controls -- 6.4 Culturally Driven Controls -- 7 Risk Alleviation Norms to Improve Patient Safety Outcomes -- 8 Extension of Clinical Pathways with Risk Alleviating Norms -- 9 Conclusion -- References. A Framework to Evaluate Semiotic Interoperability for Information Sharing -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Semiotic Interoperability Definition -- 2.2 Evaluating Interoperability Between Business Processes -- 3 Findings of Feasibility Study -- 4 Semiotic Interoperability Evaluation Framework -- 5 Conclusion and Future Work -- References -- The Social Layer of Stampers Ladder: A Systematic Approach to the Soft Edge of Organizational Transformations -- Abstract -- 1 Introduction -- 2 Actualism, Ontology Charts and Interpretation Processes -- 3 The Cynefin Framework, KiF-Diagrams and Sensemaker -- 4 An Experimental Business Case -- 5 Conclusion -- References -- A Hidden Power of Ontology Charts from Affordances to Environmental States -- Abstract -- 1 Introduction -- 2 Ontology Charts -- 2.1 Agents and Affordances -- 2.2 Ontological Dependency -- 2.3 Semantic Analysis Method -- 2.4 Analysis of Ontology Charts -- 3 NOMIS State View Representation -- 3.1 NOMIS Brief Overview -- 3.2 NOMIS State View -- 3.3 Environmental States and Affordances -- 4 The Environmental State Advantage -- 4.1 Environmental State Modelling -- 4.2 Environmental States and Business Processes -- 4.3 Environmental States and Context/Goal Modelling -- 5 Related Research -- 6 Conclusions and Future Work -- References -- Digital Business Ecosystems and Value Networks -- Exploring the Cloud Computing Loop in the Strategic Alignment Model -- Abstract -- 1 Introduction -- 2 Theoretical Background and Hypotheses -- 2.1 Strategic Alignment Lens in Cloud Computing Framework -- 2.2 Stages of Theoretical Framework -- 3 The Model -- 4 Discussion and Conclusion -- References -- A Framework for Assessing the Social Impact of Interdependencies in Digital Business Ecosystems -- Abstract -- 1 Introduction -- 2 Background and Related Works -- 2.1 Digital Business Ecosystem. 2.2 Interdependence Impact Assessment Approaches -- 2.3 Social Effects of Interdependencies in DBEs -- 3 Framework for Assessing the Social Impact of DBE Interdependencies -- 4 Case Study: Ghana's Port Digital Business Ecosystem -- 5 Discussion and Conclusion -- References -- Introducing the Strategy Lifecycle: Using Ontology and Semiotics to Interlink Strategy Design to Strategy Execution -- Abstract -- 1 Introduction -- 2 Strategy and Traditional Ways of Thinking -- 3 A Strategy Lifecycle Way of Thinking -- 4 Strategy Way of Working -- 5 The Value of an Underlying Strategy Ontology -- 6 Conclusion -- References -- Role of Digitisation in Enabling Co-creation of Value in KIBS Firms -- Abstract -- 1 Introduction -- 1.1 Research Gaps and Business Needs -- 2 Theoretical Background and Propositions -- 2.1 Impact of ICT Advances and Digitisation in the Global Economy -- 2.2 Innovation in Services -- 2.3 Need for Innovation in KIBS in the Context of a Knowledge Economy -- 2.4 The Strategic Role of Process Innovation, Especially in the Context of KIBS -- 2.5 The Need to Collaborate and Exploit External Knowledge -- 2.6 The Commitment of Internal Resources in Extracting Value from Collaboration -- 2.7 Internal Resources Mediate the Impact of Collaboration on Process Innovation -- 2.8 Role of Digitisation in Enabling Co-creation of Value in KIBS Firms -- 3 Next Steps and Future Research Opportunities -- References -- Cluster Nodes as a Unit for Value Co-creation: The Role of Information Technologies in Competitiveness of the Oil and Gas Industry -- Abstract -- 1 Introduction -- 2 Theories and Literature -- 2.1 Theory of Clusters and Competitiveness -- 2.2 Value Co-creation in Clusters -- 2.3 Eclectic Paradigm -- 3 Theoretical Frameworks -- 4 Case Study: Linking Kazakhstan's Oil and Gas and ICT Clusters -- 5 Conclusions -- References. Socially Aware Knowledge Engineering -- Unifying Speech and Computation -- Abstract -- 1 Introduction -- 2 Understanding -- 2.1 Unequivocal Response -- 2.2 From Written to Vocal Autopoietic Repertoire -- 2.3 Structured Language -- 3 A Working Description of Factorial -- 3.1 A Specialized Function Definition -- 3.2 A General Function Definition -- 4 Discussion -- 4.1 Technology Review -- 4.2 Utterance as an Information Processing System -- 5 Conclusion -- References -- A Framework to Support the Design of Digital Initiatives in Social Science Based Research -- Abstract -- 1 Introduction -- 2 The Need for Digital Transformation -- 3 Informing the Digital Research Strategy -- 3.1 Digital Research Environment in Social Science -- 4 Digital Research Initiatives -- 4.1 Skills-Based Initiatives -- 4.2 System-Based Initiatives -- 4.3 Support-Based Initiatives -- 5 Digital Research Initiatives Framework -- 5.1 Using the Digital Research Initiative Framework -- 6 Conclusion -- References -- A Metamodel for Supporting Interoperability in Heterogeneous Ontology Networks -- Abstract -- 1 Introduction -- 2 Foundations and Related Work -- 3 Constructing the Metamodel -- 4 Application Scenario -- 5 Discussion -- 6 Conclusion -- Acknowledgements -- References -- Enactive Systems and Children at Hospitals: For More Socially Aware Solutions with Improved Affectibility -- Abstract -- 1 Introduction -- 2 Background -- 3 Entertaining Hospitalized Children -- 4 Literature Results Through the Lens of a Semiotic Framework -- 4.1 Discussion -- 5 Conclusion -- Acknowledgments -- References -- Design Practices and the SAwD Tool: Towards the Opendesign Concept -- Abstract -- 1 Introduction -- 2 Organisational Semiotics, Socially Aware Computing and the SAwD Tool -- 3 The Evolution of the Airport Scenario: A Case Study -- 3.1 Problem Clarification. 3.2 From Problem Clarification to Concept Proposal. EBL202103 XX SzGeCERN BOOK Nakata, Keiichi Li, Weizi Baranauskas, Cecilia https://cds.cern.ch/auth.py?r=EBLIB_P_6283248 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2756830 BOOK MIGRATED 2756800 SzGeCERN 20210421184141.0 9783319527123 electronic version electronic version 9783319527116 print version oai:cds.cern.ch:2756800 cerncds:BOOK EBL 6283129 eng TK5105.5 .M635 2017 004.6 Agüero, Ramón Mobile networks and management 8th international conference, MONAMI 2016, Abu Dhabi, United Arab Emirates, October 23-24, 2016, proceedings Cham Springer International Publishing AG 2017 232 p ebook Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 191 Intro -- Preface -- Organization -- Contents -- Cloud Computing and Software Defined Networking -- Simulation Framework for Distributed SDN-Controller Architectures in OMNeT++ -- 1 Introduction -- 2 Background -- 2.1 SDN and OpenFlow -- 2.2 OMNeT++ and INET -- 2.3 Distributed Controller Architectures -- 2.4 Performance Evaluation of SDN Architectures -- 3 OpenFlow OMNeT++ Suite -- 3.1 OpenFlow -- 3.2 Controller Applications -- 3.3 Host Applications -- 3.4 HyperFlow -- 3.5 Kandoo -- 3.6 Utility -- 4 Evaluation of Distributed Controller Architectures -- 4.1 HyperFlow -- 4.2 Kandoo -- 5 Conclusion -- References -- Estimation of Synchronization Time in Cloud Computing Architecture -- Abstract -- 1 Introduction -- 2 Proposed Method -- 2.1 Distributed Network Architecture -- 2.2 Detecting Synchronization Time -- 3 Effect of Background Traffic on Network -- 4 Determination of Parameters for Network Analysis -- 5 Forming Network Using OPNET -- 6 Results -- References -- A Novel Signaling Protocol (ARCSPXP): Case Study on Synchronization of Educational Data -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Basics of ARCSPXP -- 3.1 ARCSPXP Architecture -- 3.2 Communication Primitives -- 3.2.1 Simple Message -- 3.2.2 Mandatory Delivery Message -- 3.2.3 Hybrid Message -- 3.2.4 Application Areas -- 4 Building an ARCSPXP Application for Data Management and Synchronization -- 5 Concluding Remarks -- Acknowledgments -- References -- Novel Core Network Architecture for 5G Based on Mobile Service Chaining -- Abstract -- 1 Introduction -- 2 EPC Architecture -- 3 Proposed Novel Architecture -- 3.1 Control Plane -- 3.2 User Plane -- 3.3 Service Chaining -- 4 Implementing Use Cases -- 4.1 Data Exchange -- 4.2 Dealing with Mobility -- 5 Comparison to EPC -- 6 Prototyping -- 7 Scalability Discussion -- 8 Related Work -- 9 Conclusions and Future Work -- References. Internet-of-the-Things and Vehicular Networks -- RF-based Monitoring, Sensing and Localization of Mobile Wireless Nodes -- 1 Introduction -- 2 Background -- 2.1 Software Defined Radio (SDR) -- 2.2 Spectrum Sensing -- 2.3 Indoor Localization -- 3 Experimental Setup -- 4 Results -- 5 Conclusion -- References -- A Solution for Tracking Visitors in Smart Shopping Environments: A Real Platform Implementation Based on Raspberry Pi -- Abstract -- 1 Introduction -- 2 FESTIVAL Intercontinental Federation and SmartSantander -- 3 Infrastructure Deployment -- 4 Software Platform for Data Gathering -- 4.1 Software Controller for the Measurement Nodes -- 4.2 Server Software and SmartSantander Integration -- 5 Deployment Validation -- 5.1 Comparison Between the Devices Detected and the Environmental Measurements -- 5.2 Location Estimation Using a Simple Weighted Centroid-Based Method -- 6 Conclusions and Future Steps -- Acknowledgments -- References -- Intra-Vehicle Wireless Sensor Network Communication Quality Assessment via Packet Delivery Ratio Measurements -- 1 Introduction -- 2 Related Work -- 3 Experimental Platform -- 4 Experimental Setup -- 4.1 Scenarios -- 5 Experimental Results and Discussion -- 5.1 Measurement Results for the 2000 Hyundai Accent GLS -- 5.2 Measurement Results for the 2011 Nissan Leaf -- 5.3 Measurement Results of the Engine Section -- 5.4 Vehicle Zones -- 6 Conclusion and Future Work -- References -- Communication Requirements for Optimal Utilization of LV Power Distribution Systems -- Abstract -- 1 Introduction -- 2 Motivation Scenario -- 3 State of the Art: Preliminary Work for LV Power Grid -- 4 Feasibility Study -- 4.1 Scenario Setup -- 4.2 Sensitivity Analysis of Time Synchronization and Reaction Time -- 4.3 Analysis on the Use of Existing Communication Technologies -- 4.4 Communication Architectures -- 5 Conclusion -- 5.1 Outlook. References -- Techniques and Algorithms for Cellular Networks -- Proposing a New Solution to Reduce the International Roaming Call Cost -- Abstract -- 1 Introduction -- 2 Conceptual Architecture -- 3 Customer Network (CN) -- 3.1 Customer Premises Equipment (CPE) -- 3.2 VoIP Gateway -- 4 Provider Network (PN) -- 4.1 Roaming Connectivity Server (RCS) -- 5 Connectivity -- 5.1 Connectivity Between the CN and PN -- 5.2 Connectivity Between the RCS and the User -- 6 Codecs -- 7 Deploying the System and Testing -- 8 Analysis -- 8.1 Data Usage of Roaming User -- 8.2 Data Flow Between RCS and CPE -- 8.3 Call Setup Time and Costs -- 9 Future Work -- 10 Conclusion -- References -- Generic Wireless Network System Modeler: -- 1 Introduction and Motivation -- 2 Simulation Methodology -- 2.1 General Approach -- 2.2 Implementation Principles -- 3 Scenario of Interest -- 3.1 Services Modeling -- 3.2 Access Selection and Resource Allocation -- 4 Scenario Assessment -- 5 Conclusion -- References -- Distributed Computing of Management Data in a Telecommunications Network -- 1 Introduction -- 2 Concept -- 2.1 Streams -- 2.2 Distributed Computing -- 3 Implementation -- 3.1 Data Fetcher -- 3.2 Data Hub -- 3.3 Data Switch -- 3.4 Coordination -- 4 Experiments -- 5 Discussion and Future Directions -- 6 Conclusion -- References -- Coding Schemes for Heterogeneous Communication Links Using Channel Bundling -- 1 Introduction -- 2 Overview of Coding Schemes and Related Work -- 2.1 Coding Schemes -- 2.2 Related Work -- 2.3 Transmission Channel Models -- 3 Problem Description -- 3.1 Scenario -- 3.2 Testbed Set-Up -- 4 Results -- 5 Conclusion and Outlook -- References -- Security and Self-organizing Networks -- Security in Mobile Computing: Attack Vectors, Solutions, and Challenges -- 1 Introduction -- 1.1 Contributions -- 2 Mobile Computing Platforms -- 2.1 iOS vs. Andriod. 3 Security in Mobile Computing -- 3.1 Attacks on Confidentiality -- 3.2 Attacks on Integrity -- 3.3 Attacks on Availability -- 3.4 Attacks on Authentication -- 3.5 Attacks on Authorization -- 4 Limitations and Challenges -- 5 Conclusion -- References -- Information Security Risk Analysis of Vehicular Ad Hoc Networks -- 1 Introduction -- 2 VANET Security Issues -- 2.1 VANET Concept -- 2.2 VANET Security Issues -- 3 ISO 2700x Family -- 4 Methodology: ISO 27005 Risk Management -- 5 Application of ISO 27005 Standard for VANET Networks -- 5.1 Risk Identification in VANETs -- 5.2 Risk Analysis in VANETs -- 5.3 Risk Evaluation in VANETs -- 5.4 Risk Treatment in VANETs -- 6 Conclusion -- References -- Automatic Definition and Application of Similarity Measures for Self-operation of Network -- Abstract -- 1 Introduction -- 2 Self-operation Architecture for Similarity Definition and Application -- 3 Definition of Similarity Measure for a Given Operator Objective and Rule -- 4 Selection of a Suitable Function for the Given Operator Objective and Rule -- 5 Definition of Similarity Measure for the Selected Function -- 6 Selection of Suitable Configuration for the Selected Function -- 7 Experiments on Determining Suitable Function and Configuration Automatically -- 7.1 Demonstrator Description -- 7.2 Experiment and Result -- 7.2.1 Defining Goal and Precondition for the Objective-Specific Similarity Measure -- 7.2.2 Function-Specific Similarity Definition and Search for Configuration -- 7.2.3 Refining Function Specific Similarity Definition and Its Match Results -- 8 Conclusion and Discussion -- References -- Processing Time Comparison of a Hardware-Based Firewall and Its Virtualized Counterpart -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Measurement Setup -- 3.2 Experiments -- 4 Results -- 4.1 Processing Time -- 4.2 Suitability for a Campus Network. 5 Conclusion -- References -- Author Index. EBL202103 XX SzGeCERN EBL Computer networks EBL Computer science BOOK Zaki, Yasir Wenning, Bernd-Ludwig Förster, Anna Timm-Giel, Andreas https://cds.cern.ch/auth.py?r=EBLIB_P_6283129 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2756800 BOOK MIGRATED 2756785 SzGeCERN 20210421184142.0 9783319115696 electronic version electronic version 9783319115689 print version oai:cds.cern.ch:2756785 cerncds:BOOK EBL 6283066 eng QA76.59 .M635 2014 004.165 Stojmenovic, Ivan Mobile and ubiquitous systems 10th international conference, MOBIQUITOUS 2013, Tokyo, Japan, December 2-4, 2013, revised selected papers Cham Springer International Publishing AG 2014 819 p ebook Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 131 Intro -- Preface -- Organization -- Contents -- Main Conference Session -- OPSitu: A Semantic-Web Based Situation Inference Tool Under Opportunistic Sensing Paradigm -- 1 Introdution -- 2 Running Example -- 3 System Overview -- 3.1 Key Concepts -- 3.2 Architecture -- 4 Situation Inference Engine Implementation -- 4.1 Semi-automatic SIR Decomposition -- 4.2 Topological-Ordering Based CA Reasoning -- 4.3 Similarity-Based Merging and Decision -- 5 Experimental Evaluation -- 5.1 Experimental Methodology -- 5.2 Experimental Result -- 6 Related Work -- 7 Conclusion -- References -- Model-Driven Public Sensing in Sparse Networks -- 1 Introduction -- 2 System Model and Goals -- 2.1 System Model and Architecture -- 2.2 Problem Statement -- 3 Optimized Query Execution in Dense Systems -- 3.1 Multivariate Gaussian Distribution -- 3.2 Model-Driven Query Execution -- 4 Alternate Virtual Sensor Selection for Sparse Networks -- 4.1 Adaptive Greedy Algorithm -- 4.2 Round-Based Alternate Virtual Sensor Selection -- 5 Evaluation -- 5.1 Simulation Setup -- 5.2 Quality -- 5.3 Broken Queries -- 5.4 Relative Energy Consumption -- 6 Related Work -- 7 Conclusion -- References -- An Integrated WSN and Mobile Robot System for Agriculture and Environment Applications -- Abstract -- 1 Introduction -- 2 The System Design and Implementation -- 3 Mobile Robot Localisation -- 4 Conclusions -- Acknowledgements -- References -- Sensor Deployment in Bayesian Compressive Sensing Based Environmental Monitoring -- Abstract -- 1 Introduction -- 2 Bayesian Compressive Sensing Based Environmental Monitoring -- 3 Sensor Deployment -- 3.1 Open-Loop Entropy Approach -- 3.2 Open-Loop Mutual Information Approach -- 3.3 Adaptive BCS Approach -- 4 Experiment and Results -- 4.1 30 by 30 Ozone Distribution Monitoring -- 4.2 129 by 129 Ozone Distribution Monitoring. 4.3 Ozone Monitoring with History Data -- 4.4 Discussion of the Experiment Results -- 5 Conclusions and Future Work -- Acknowledgments -- References -- A Mobile Agents Control Scheme for Multiple Sinks in Dense Mobile Wireless Sensor Networks -- 1 Introduction -- 2 Related Work -- 3 Assumptions -- 3.1 System Environment -- 3.2 Geo-routing -- 4 Mobile Agents Control Based on Data Gathering Conditions of Multiple Sinks -- 4.1 Outline of the Proposed Method -- 4.2 Deployment of Mobile Agents -- 4.3 Movement of Mobile Agent -- 4.4 Transmission of Sensor Data -- 5 Simulation Experiments -- 5.1 Simulation Model -- 5.2 Effects of Number of Sinks -- 5.3 Effects of Distance Between Sensing Areas -- 6 Conclusion -- References -- Highly Distributable Associative Memory Based Computational Framework for Parallel Data Processing in Cloud -- Abstract -- 1 Introduction -- 2 Graph Neuron for Scalable Recognition -- 2.1 Graph Neuron (GN) -- 2.2 Hierarchical Graph Neuron (HGN) -- 3 Edge-Detecting Hierarchical Graph Neuron (EdgeHGN) -- 3.1 EdgeHGN Architecture -- 3.2 EdgeHGN Subnet Communication Scheme -- 3.3 EdgeHGN Communication Complexities -- 4 Simulation and Results -- 5 Conclusion and Remarks -- References -- MobiPLACE*: A Distributed Framework for Spatio-Temporal Data Streams Processing Utilizing Mobile Clients' Processing Power -- 1 Introduction -- 2 Related Work -- 3 MobiPLACE*: An Overview -- 3.1 System Architecture -- 3.2 Communication Messages -- 3.3 Continuous Range Query Evaluation -- 3.4 Continuous k-NN Query Evaluation -- 3.5 Query Incremental Evaluation -- 4 Performance Evaluation -- 5 Conclusion -- References -- Modelling Energy-Aware Task Allocation in Mobile Workflows -- 1 Introduction -- 2 Applications and Related Work -- 3 System Model -- 3.1 Mobile Platform Model -- 3.2 Workflow Model -- 3.3 Mobile Energy Model. 4 Minimum Group Energy Cost Problem (MGECP) -- 4.1 Quadratic Program Formulation -- 4.2 Convexification -- 5 Minimum Max-Utilisation Problem (MMUP) -- 5.1 Iterative Individual Adjustment Method (IIAM) -- 5.2 Group Adjustment Method (GAM) -- 6 Simulation -- 6.1 Environmental Settings -- 6.2 Results and Analysis -- 7 Conclusion -- References -- Recognition of Periodic Behavioral Patterns from Streaming Mobility Data -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Problem Definition -- 4 Methodology -- 4.1 Measuring Self-Similarity of the Mobility Data in Different Lags -- 4.1.1 Measuring Self-Similarity in Streaming Setting (Online) -- 4.2 Discovery of Periods of Repetition -- 4.3 Extracting Periodic Patterns in Streaming Setting -- 5 Performance Evaluation -- 5.1 Complexity Analysis -- 5.2 Performance Evaluation Using Synthetic Dataset -- 5.2.1 Synthetic Dataset -- 5.2.2 Performance Evaluation with the Synthetic Dataset -- 5.3 Performance Evaluation Using Real Dataset -- 5.3.1 The Real Dataset -- 5.3.2 Performance Evaluation -- 6 Conclusion -- References -- Detection of Real-Time Intentions from Micro-blogs -- 1 Introduction -- 2 Related Work -- 3 Real-Time Intention (RTI) Classifier -- 3.1 Noise Filter and Dimensionality Reduction -- 3.2 Feature Extraction -- 3.3 Multi-View Ensemble Classifiers -- 4 Experiments and Evaluation -- 4.1 Classification Results -- 4.2 Run-Time Performance -- 5 System Demonstration -- 6 Conclusion -- References -- Fast and Accurate Wi-Fi Localization in Large-Scale Indoor Venues -- 1 Introduction -- 2 Background and Related Work -- 2.1 Characteristics of a Large Indoor Venue -- 2.2 Related Work on WPS -- 3 Explosion of Probe Responses and Missing APs -- 3.1 WiFi FP and Scanning -- 3.2 Missing APs -- 4 Representative Access Points (rAPs) -- 5 Performance Evaluation -- 6 Conclusions -- References. Reality Mining: Digging the Impact of Friendship and Location on Crowd Behavior -- 1 Introduction -- 2 Related Work -- 3 Data Description -- 4 Crowd Behavior Recognition -- 5 Impact of Attributes on Crowd Behavior -- 5.1 Impact of Friendship on Crowd Behavior -- 5.2 Impact of Location on Crowd Behavior -- 6 Conclusion -- References -- Robust Overlay Routing in Structured, Location Aware Mobile Peer-to-Peer Systems -- 1 Introduction -- 2 Related Work -- 3 Clustered Pastry Mobile Peer-to-Peer System -- 3.1 Implementation, Assumptions, and Setting -- 4 Incorrect Lookup Routing Attack -- 4.1 Validation of Castro et al.'s Model in MP2P Scenarios -- 5 Security Mechanisms -- 5.1 Iterative Routing Algorithm -- 5.2 Replication and Redundant Routing -- 5.3 Overlay WatchDog -- 5.4 Comparison of the Security Mechanisms -- 6 Conclusions and Future Work -- References -- Crossroads: A Framework for Developing Proximity-based Social Interactions -- 1 Introduction -- 2 Background -- 2.1 Our Proximity-Based Apps -- 2.2 Traffic Patterns of Proximity-Based Apps -- 3 Architectural Design Overview -- 3.1 APIs with Application Hints -- 3.2 Network Topology Management -- 3.3 Group Dissemination Support -- 4 Current Implementation -- 4.1 Application-Hints APIs -- 4.2 Network Topology Management -- 4.3 Group Dissemination -- 5 Evaluations -- 5.1 Latency Hint -- 5.2 Topology Robustness -- 5.3 Group Dissemination -- 6 Related Work -- 7 Conclusion -- References -- Merging Inhomogeneous Proximity Sensor Systems for Social Network Analysis -- 1 Introduction and Motivation -- 1.1 Social Networks Based on Proximity Data -- 1.2 Data Collection During Pilgrimage -- 1.3 Related Work -- 1.4 Contributions -- 2 Data Collection and Data Processing Schedule -- 2.1 Participants -- 2.2 Smartphone as Sensing Device -- 2.3 Wearable Devices -- 2.4 Data Processing Schedule. 3 Merging Inhomogeneous Proximity Sensor Systems -- 3.1 System Overview -- 3.2 ANT+ and BT Proximities -- 3.3 Wearable Sensor Proximity -- 3.4 Social Rules for Proximity -- 3.5 Location Based Proximity -- 4 Evaluation -- 4.1 Graphical Representation -- 4.2 Quantitative Evaluation -- 4.3 Limitations -- 5 Conclusion and Future Work -- References -- Device Analyzer: Understanding Smartphone Usage -- 1 Introduction -- 2 Related Work -- 3 The Data Collection Tool -- 3.1 Design Decisions and Trade-Offs -- 3.2 Privacy -- 3.3 Access to the Dataset and Deployment for Custom Studies -- 4 Description of the Dataset -- 5 Analysis -- 5.1 Movement Patterns -- 5.2 Connectivity -- 5.3 Location -- 5.4 Energy Management -- 5.5 Interactions -- 5.6 Calls and Texts -- 6 Conclusions -- References -- Evaluation of Energy Profiles for Mobile Video Prefetching in Generalized Stochastic Access Channels -- 1 Introduction -- 1.1 Motivation -- 1.2 Contribution -- 2 OTT Prefetching Scheme -- 3 Actual User Data Rates -- 4 Method -- 5 Prefetching Results -- 6 Prefetching Recommendations -- 7 Discussion -- 8 Conclusion -- References -- MITATE: Mobile Internet Testbed for Application Traffic Experimentation -- 1 Introduction -- 2 Related Work -- 3 MITATE -- 3.1 Architecture and Traffic Experiments -- 3.2 Programmable Network Traffic Experiment Configuration -- 3.3 Deployment Incentives -- 3.4 Security and Privacy -- 4 MITATE Application Traffic Prototyping Capability -- 4.1 Effect of Packet Size on Message Delay -- 4.2 Effect of Traffic Shaping -- 4.3 Measurement Based CDN Selection -- 5 Discussion and Future Work -- References -- Declarative Programming for Mobile Crowdsourcing: Energy Considerations and Applications -- Abstract -- 1 Introduction -- 2 LogicCrowd and Its Applications -- 3 Energy Considerations in LogicCrowd -- 4 Related Work -- 5 Conclusion -- References. Types in Their Prime: Sub-typing of Data in Resource Constrained Environments. EBL202103 XX SzGeCERN EBL Mobile computing-Congresses BOOK Cheng, Zixue Guo, Song https://cds.cern.ch/auth.py?r=EBLIB_P_6283066 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2756785 BOOK MIGRATED 2756767 SzGeCERN 20210421184143.0 9783319701363 electronic version electronic version 9783319701356 print version oai:cds.cern.ch:2756767 cerncds:BOOK EBL 6282992 eng QA76.87 .N487 2017 006.32 Liu, Derong Neural information processing 24th international conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, proceedings, part VI Cham Springer International Publishing AG 2017 928 p ebook Lecture notes in computer science 10639 Intro -- Preface -- ICONIP 2017 Organization -- Contents -- Robotics and Control -- Electromyogram Activation Reflects Property of Isochrony Phenomenon During Cyclic Human Arm Movement -- 1 Introduction -- 2 Procedure and Design -- 2.1 Pre-task: Maximum Voluntary Contraction (MVC) Measurement -- 2.2 Main-Task: Cyclic Arm Movement Task -- 3 Analysis -- 3.1 Behavioral Data -- 3.2 EMG Data -- 3.3 Isochrony Coefficient -- 4 Results -- 4.1 Movement Duration and EMG Change -- 4.2 Isochrony Coefficient -- 5 Conclusions -- References -- A Learning-Based Decentralized Optimal Control Method for Modular and Reconfigurable Robots with Uncertain Environment -- 1 Introduction -- 2 Dynamic Model Formulation -- 3 Learning-Based Decentralized Optimal Control Method -- 3.1 Problem Transformation -- 3.2 Policy Iteration-Based Learning Algorithm -- 3.3 Neural Network Implementation -- 4 Simulations -- 5 Conclusions -- References -- Decentralized Force/Position Fault-Tolerant Control for Constrained Reconfigurable Manipulators with Actuator Faults -- 1 Introduction -- 2 Dynamic Model Formulation -- 3 Design of Novel Adaptive Robust Fault-Tolerant Controller -- 4 Simulations and Analysis -- 5 Conclusion -- References -- Backward Path Tracking Control for Mobile Robot with Three Trailers -- 1 Introduction -- 2 Vehicle Kinematics and Problem Statement -- 3 Orientation Tracking Control Law -- 4 Numerical Validation -- 4.1 Backward Tracking of Line Segments Path -- 4.2 Backward Docking Task -- 5 Conclusion -- References -- Adaptation-Oriented Near-Optimal Control and Robust Synthesis of an Overhead Crane System -- 1 Introduction -- 2 General Control Design Description -- 2.1 Optimal Control Background -- 2.2 Adaptation-Oriented Near-Optimal Control -- 3 Application to Perform Robust Stabilization -- 4 Simulation Study of an Overhead Crane -- 5 Conclusions -- References. Deep CNN Identifier for Dynamic Modelling of Unmanned Helicopter -- 1 Introduction -- 2 Problem Formulation and Baseline Models -- 3 Deep CNN Identifier -- 4 Simulation Experiment -- 4.1 Modelling Dataset and Optimization -- 4.2 Performance -- 5 Conclusion and Future Work -- References -- Packet-Dropouts Compensation for Networked Control System via Deep ReLU Neural Network -- 1 Introduction -- 2 Deep ReLU Neural Network Structure and Training Algorithm -- 2.1 Deep ReLU Neural Network Structure -- 2.2 Deep ReLU Neural Network Training Algorithm -- 3 Control Model and Compensation Strategy -- 3.1 Control Model -- 3.2 Compensation Strategy -- 4 Simulation Experiment -- 5 Conclusion -- References -- Cloud-Based Knowledge Sharing in Cooperative Robot Tracking of Multiple Targets with Deep Neural Network -- Abstract -- 1 Introduction -- 2 Background and Related Work -- 2.1 Robot Tracking and CMOMMT -- 2.2 Cloud Robotics-Based Knowledge Sharing -- 3 Method Overview -- 4 Key Mechanisms -- 4.1 Tracking Engine and Knowledge Sharing -- 4.2 Knowledge Sharing of Robot Tracking -- 4.3 Cloud-Robot Collaborative Following -- 5 Experiments and Evaluation -- 5.1 Evaluation on Open Dataset -- 5.2 Real World Environment -- 6 Summary -- Acknowledgment -- References -- Backstepping and ADRC Techniques Applied to One-DOF Link Manipulator with External Disturbances and Input Saturation -- 1 Introduction -- 2 Mathematical Model of One-DOF Link Manipulator -- 3 One-DOF Link Manipulator Control System Based on ADRC and Backstepping Technique -- 4 Simulation -- 5 Conclusion -- References -- A Causal Multi-armed Bandit Approach for Domestic Robots' Failure Avoidance -- 1 Introduction -- 2 General Approach -- 3 Cause Extraction -- 3.1 Exploitation -- 3.2 Exploration -- 4 Related Work -- 5 Experiments -- 6 Conclusion and Future Works -- References. Enabling Imagination: Generative Adversarial Network-Based Object Finding in Robotic Tasks -- Abstract -- 1 Introduction -- 2 Background and Related Work -- 2.1 Vision-Based Robotic Object Search -- 2.2 GAN and Its Application in Robotics -- 3 Method Overview -- 4 Key Mechanisms -- 4.1 Enabling Imagination by GAN -- 4.2 Region-to-Image Matching -- 4.3 Identifying Interested Regions in Robotic Vision -- 4.4 Cloud Robotic-Based Realization -- 5 Evaluation and Experiments -- 5.1 Experiments on Public Dataset -- 5.2 Experiment on a Real Robotic Scenario -- 6 Conclusion -- Acknowledgments -- References -- Event-Based Target Tracking Control for a Snake Robot Using a Dynamic Vision Sensor -- 1 Introduction -- 2 Background -- 3 Neuromorphic Snake Robot for Target Tracking -- 4 SNN-Based Pole Detection by DVS -- 4.1 Vision SNN for Line Detection -- 4.2 SNN-Based Pole Detection -- 5 Depth Estimation and Adaptive Pole Tracking -- 6 Experiments -- 7 Conclusion -- References -- Data-Driven Nonlinear Adaptive Optimal Control of Connected Vehicles -- 1 Introduction -- 2 Problem Formulation and Preliminaries -- 3 SOS-Based Nonlinear Policy Iteration -- 4 GADP for Connected Vehicle Systems -- 5 Numerical Examples -- 6 Conclusions -- References -- Energy Management of Planetary Gear Hybrid Electric Vehicle Based on Improved Dynamic Programming -- Abstract -- 1 Introduction -- 2 Planetary Gear Hybrid Electric Vehicle Model -- 2.1 Vehicle Demand Power Model -- 2.2 Battery Power Model -- 2.3 Motor Power Model -- 3 Energy Management Using Dynamic Programming for HEV -- 4 Improved Dynamic Programming -- 5 Conclusion -- Acknowledgement -- References -- Consensus Maneuvering of Uncertain Nonlinear Strict-Feedback Systems -- 1 Introduction -- 2 Preliminaries and Problem Formulation -- 2.1 Graph Theory -- 2.2 Problem Formulation. 3 Consensus Maneuvering Controllers Design and Analysis -- 3.1 Estimation Module Design -- 3.2 Controller Module Design -- 3.3 Path Update Law Design -- 4 Conclusion -- References -- Partially-Directed-Topology-Based Consensus Control for Linear Multi-agent Systems -- 1 Introduction -- 2 Graphs and Preliminaries of Multi-agent Systems -- 3 The Consensus Problem of Multi-agent Systems -- 4 Consensus Control with Partially Directed Topology -- 5 Simulation -- 6 Conclusion -- References -- Synchronization in Networks of Nonidentical Discrete-Time Systems with Directed Graphs -- 1 Introduction -- 2 Preliminaries -- 3 Problem Formulation -- 4 Distributed Dynamic Feedback Design -- 4.1 Example -- 5 Conclusion -- References -- Adaptive Neural Network Output-Feedback Control for a Class of Discrete-Time Nonlinear Systems in Presence of Input Saturation -- Abstract -- 1 Introduction -- 2 Problem Formulation and Preliminaries -- 3 Output Feedback Adaptive NN Controller Design -- 4 Simulation -- 5 Conclusion -- Acknowledgements -- References -- FPGA Implementation of the Projection Based Recurrent Neural Network Approach to Compute the Distance Between a Point and an Ellipsoid -- 1 Introduction -- 2 Problem Formulation and Neural Network Model -- 3 FPGA Implementation -- 4 Simulation Results -- 5 Conclusion -- References -- A Compliance Control Strategy for Minimizing Base Attitude Disturbance Using Variable Stiffness Joint Space Manipulator -- 1 Introduction -- 2 Dynamic Modeling of Variable Stiffness Joint Free-Floating Space Manipulator -- 3 Solving Optimal Joint Stiffness Based on Differential Evolution Algorithm -- 3.1 Differential Evolution Algorithm -- 3.2 The Selection of the Objective Function -- 3.3 The Algorithm Flow -- 4 Simulation Analysis Results -- 5 Conclusion -- References. Path Following for Unmanned Surface Vessels Based on Adaptive LOS Guidance and ADRC -- Abstract -- 1 Introduction -- 2 USV and Environmental Disturbance Model -- 2.1 Mathematic Model of USV Maneuvering -- 2.2 The Environmental Disturbance Model -- 3 Design of Course Keeping Controller Using ADRC -- 3.1 The Structure of ADRC -- 3.2 The Simulation of the Course Keeping Controller -- 4 Design of Adaptive LOS Guidance Controller -- 4.1 Problem Formulation -- 4.2 Adaptive LOS Guidance Algorithm -- 5 Simulations -- 5.1 Straight-Line Path Following -- 5.2 Sinusoidal Path Following Simulation -- 6 Conclusion -- Acknowledgement -- References -- Adaptive Neural Control for Pure Feedback Nonlinear Systems with Uncertain Actuator Nonlinearity -- Abstract -- 1 Introduction -- 2 Problem Statement and Preliminaries -- 3 Controller Design and Stability Analysis -- 4 Simulation Results -- 5 Conclusions -- References -- Composite Learning Control of Hypersonic Flight Dynamics Without Back-Stepping -- 1 Introduction -- 2 Problem Formulation -- 2.1 Hypersonic Flight Vehicle Model -- 2.2 Strict-Feedback Formulation -- 2.3 Control Goal -- 3 Output-Feedback Formulation and HGO Design -- 3.1 Output-Feedback Formulation -- 3.2 HGO Design -- 4 Controller Design -- 5 Simulation -- 6 Conclusions -- References -- Disturbance Observer Based Optimal Attitude Control of NSV Using -D Method -- 1 Introduction -- 2 Problem Statement and Preliminaries -- 3 Disturbance Observer Based -D Optimal Control Design -- 4 Attitude tracking controller design of NSV -- 4.1 Slow-Loop Controller Design -- 4.2 Fast-Loop Controller Design -- 5 Simulation Results -- 6 Conclusions -- References -- Three-Dimensional Vibrations Control Design for a Single Point Mooring Line System with Input Saturation -- 1 Introduction -- 2 Problem Formulation and Dynamic Analysis. 2.1 Dynamics of the Mooring Line in Three-Dimensional Space. EBL202103 XX SzGeCERN BOOK Xie, Shengli Li, Yuanqing Zhao, Dongbin El-Alfy, El-Sayed M https://cds.cern.ch/auth.py?r=EBLIB_P_6282992 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2756767 BOOK MIGRATED 2756764 SzGeCERN 20210421184143.0 9783540922735 electronic version electronic version 9783540922728 print version oai:cds.cern.ch:2756764 cerncds:BOOK EBL 6282983 eng QA75.5-76.95 572.80285 Priami, Corrado Transactions on computational systems biology X Berlin Springer 2008 204 p ebook Lecture notes in computer science 5410 Intro -- Title Page -- Preface -- Table of Contents -- Biological and Biologically-Inspired Communication -- Towards a Self-structured Grid: An Ant-Inspired P2P Algorithm -- Introduction -- Related Work -- The Antares Algorithm -- Pick Operation -- Drop Operation -- Spatial Sorting of Descriptors -- Management of Peer Disconnections -- Performance Evaluation -- Conclusions -- References -- Robustness to Code and Data Deletion in Autocatalytic Quines -- Introduction -- Background and Related Work -- Self-replicating Code -- Artificial Chemistries -- The Fraglet Reaction Model -- Self-replication in Fralgets -- Embedding Functionality -- Dynamic Aspects of Self-replication -- Growth -- Dilution -- Emergent Robustness to Code Deletion -- Robust Programs Using Self-replicating Operations -- Example: Arithmetic Expression -- Discussion -- From Robustness towards Security -- Conclusions -- References -- A Computational Scheme Based on Random Boolean Networks -- Introduction -- Random Boolean Networks -- Definition of RBNs -- Frozen and Chaotic Phases -- Attractors -- Redundant Vertices -- Computational Scheme Based on RBNs -- Computation of Attractors -- Binary Decision Diagrams -- Transition Relation -- Forward Reachability -- Backward Reachability -- Example -- Simulation Results -- Conclusion and Open Problems -- References -- On Channel Capacity and Error Compensation in Molecular Communication -- Introduction -- Molecular Communication Model -- Molecule Delivery -- An Information Theoretical Approach for Molecular Communication -- Adaptive Error Compensation in the Molecular Communication -- A Selection Strategy for Molecular Bit Transmission Probability -- An Adaptive Molecular Error Compensation Scheme -- Numerical Analysis -- Effect of Environmental Factors on Molecular Communication Capacity. Effect of the Parameters Specific to TN and RN on Molecular Communication -- Adaptive Molecular Error Compensation Scheme -- Conclusion -- References -- Molecular Communication through Gap Junction Channels -- Introduction -- System Characteristics -- System Design -- Gap Junction Channels -- Molecular Communication through Gap Junction Channels -- Design Detail -- Experimental Demonstration -- Theoretical Prediction -- Distance and Speed of Intercellular Ca^{2+} Waves -- Regenerative Intercellular Ca^{2+} Waves -- Repetitive Intercellular Ca^{2+} Waves -- Summary -- Concluding Remarks -- References -- Clustering Time-Series Gene Expression Data with Unequal Time Intervals -- Introduction -- Area-Based Profile Alignment -- Clustering Method for Profile Alignment -- Optimizing the Number of Clusters -- Experimental Results -- The Serum Dataset -- The Yeast Dataset -- Biological Analysis -- Conclusion -- References -- Integrating Thermodynamic and Observed-Frequency Data for Non-coding RNA Gene Search -- Introduction -- Covariance Models -- Parameter Estimation Using Family Member Observed Frequencies Only -- Parameter Estimation Including Non-family Observed Frequencies -- Information in Consensus Loop Lengths and Types -- Potential Use of Thermodynamic Data for Improvement of Loop Priors -- Evidence That Thermodynamic Data Helps Predict Insertion Probability -- Information in Consensus Nucleotides of Helix Neighbors -- Conclusion -- References -- An Evolutionary Approach to the Non-unique Oligonucleotide Probe Selection Problem -- Introduction -- Non-unique Probe Selection Problem -- Previous Work -- Probe Selection Function -- Coverage Function -- Separation Function -- Selection Function -- Deterministic Greedy Heuristic for Non-unique Probes -- Genetic Algorithm for Non-unique Probes -- Representation and Fitness Function. Parent Selection Operator -- Crossover Operator -- Mutation Operator and Variable Mutation Rate -- Heuristic Feasibility Operator -- Initial Population -- Replacement Strategy -- The Algorithm -- Computational Experiments -- Data Sets -- Results and Discussions -- Conclusions and Future Research -- References -- Stochastic π-Calculus Modelling of Multisite Phosphorylation Based Signaling: The PHO Pathway in Saccharomyces Cerevisiae -- Introduction -- The PHO Pathway in Saccharomyces Cerevisiae -- Stochastic π-Calculus Sub-models for the PHO Pathway -- The Multisite Phosphorylation Model -- Dynamic Regulation of the Number of Processes -- The Promoter Model -- The Transmembrane Transport Model -- The Protein Synthesis and Degradation Model -- The Pho4 Multisite Phosphorylation Model -- The PHO Pathway MODEL -- In Silico Simulations vs. Biological Data -- Pho4 Multisite Phosphorylation Model Tuning and Validation -- In silico Estimation of the Average Number of Pho4 Phosphorylation Events Per Binding Event between Pho4 and the Cyclin-CDK Pho80-Pho85 -- Kinetic Analysis of Pho4 Phosphorylation Profiles Predicts Biological Outcomes -- PHO Pathway Results -- Analysis of Process Calculi Features -- In silico Process Calculi for Multisite Phosphorylations -- Biological Modelling of Discrete and Null Events -- The Problem of Explosion of the Number of Process Definition -- Compositionality for Handling Systems Biology Complexity -- Conclusions -- References -- The Stochastic π-Calculus and SPiM -- The Model for the Dynamic Regulation of the Number of Processes as a Continuous-Time Markov Chain -- Author Index. This book contains extended versions of papers presented at the Second International Conference on Bio-Inspired Models of Network, Information, and Computing Systems. They discuss multidisciplinary research in the fields of computer science and life sciences. EBL202103 XX SzGeCERN BOOK Dressler, Falko Akan, Ozgur B Ngom, Alioune https://cds.cern.ch/auth.py?r=EBLIB_P_6282983 ebook n 202111 21 PUBLIC https://catalogue.library.cern/legacy/2756764 BOOK MIGRATED 2756732 SzGeCERN 20210421184144.0 9781847741455 electronic version electronic version oai:cds.cern.ch:2756732 cerncds:BOOK EBL 6272842 eng QA76.9.A25 .S854 2021 378.1662 Omar, Suleiman 40 on justice the prophetic voice on social reform La Vergne Kube Publishing Ltd 2021 297 p ebook Intro -- Halftitle -- Title -- Copyright -- Contents -- Foreword -- 1. The Gravity of Injustice in Islam -- 2. God is More Capable Than Us -- 3. From the Scrolls of Ibrahim -- 4. To Seek or Not to Seek Leadership -- 5. We Will be Asked About Our Potential -- 6. A Word of Truth in the Face of an Oppressor -- 7. The Ruling on Silence and Injustice -- 8. The Right to Food, Water and Shelter -- 9. Responding to Evil with Good -- 10. Everybody Else Does It -- 11. The Comprehensiveness of Tatfeef (short-changing) -- 12. Whoever Deceives is Not From Us -- 13. Corrupt Lawyers and Unserved Justice -- 14. Elitist Privilege -- 15. Building a Coalition of Justice: the Fiqh of Hilf al-Fadool -- 16. A Show of Strength -- 17. Finding and Channelling Your Righteous Anger -- 18. The Rights of the Neighbour -- 19. The Definition, Categorisation and Prohibition of Torture in Islam -- 20. Prophetic Guidance on Work Conditions and Employee Treatment -- 21. The Characteristics of a Pious Employee -- 22. Greed - The Root of all Social Injustice -- 23. Why is Usury (riba) Prohibited? -- 24. Insurance Companies and Vulnerable Citizens: The Concept of Uncertainty (gharar) in Islam -- 25. Justice Between Parents and Children -- 26. The Sin of Favouritism: Be Just with your Children -- 27. How Rights Work in Marriage -- 28. The Rights of Extended Family -- 29. The Rights of the Elderly Within Society -- 30. Islam's Position on Slavery -- 31. Islamic Ethics Regarding Asylum, Refugees and Migration -- 32. Racism, Supremacism and True Patriotism -- 33. Stereotyping and Collective Guilt -- 34. Gender Equity in Islam - Regard for Women -- 35. How the Prophet Muhammad Treated Those with Mental Illness, Disabilities and Special Needs -- 36. Doctors of the Prophet and Islam's History of Healthcare -- 37. When Animals Indict Humans for Cruelty -- 38. Environmentalism. 39. Without Justice, There Can Be No Peace -- 40. Gradual Change versus Radical Reform -- Endnotes -- Index. EBL202103 XX SzGeCERN EBL Religion BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6272842 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2756732 BOOK MIGRATED 2756675 SzGeCERN 20210421184147.0 9783030361679 electronic version electronic version 9783030361662 print version oai:cds.cern.ch:2756675 cerncds:BOOK EBL 6012492 eng QA75.5-76.95 004.678 Mahmood, Zaigham Connected vehicles in the Internet of Things concepts, technologies and frameworks for the IoV Cham Springer International Publishing AG 2020 346 p ebook Intro -- Preface -- Overview -- Objectives -- Organization -- Target Audiences -- Acknowledgements -- Other Books by Zaigham Mahmood -- Software Engineering in the Era of Cloud Computing -- The Internet of Things in the Industrial Sector: Security and Device Connectivity, Smart Environments, and Industry 4.0 -- Security, Privacy and Trust in the IoT Environment -- Guide to Ambient Intelligence in the IoT Environment: Principles, Technologies and Applications -- Fog Computing: Concepts, Frameworks and Technologies -- Smart Cities: Development and Governance Frameworks -- Data Science and Big Data Computing: Frameworks and Methodologies -- Connected Environments for the Internet of Things: Challenges and Solutions -- Connectivity Frameworks for Smart Devices: The Internet of Things from a Distributed Computing Perspective -- Cloud Computing: Methods and Practical Approaches -- Cloud Computing: Challenges, Limitations and R&amp -- D Solutions -- Continued Rise of the Cloud: Advances and Trends in Cloud Computing -- Software Engineering Frameworks for the Cloud Computing Paradigm -- Cloud Computing for Enterprise Architectures -- Cloud Computing: Concepts, Technology &amp -- Architecture -- Software Project Management for Distributed Computing: Life-Cycle Methods for Developing Scalable and Reliable Tools -- Requirements Engineering for Service and Cloud Computing -- User Centric E-Government: Challenges &amp -- Opportunities -- Cloud Computing Technologies for Connected Government -- Human Factors in Software Development and Design -- IT in the Public Sphere: Applications in Administration, Government, Politics, and Planning -- Emerging Mobile and Web 2.0 Technologies for Connected E-Government -- E-Government Implementation and Practice in Developing Countries -- Developing E-Government Projects: Frameworks and Methodologies -- Contents. About the Editor -- Contributors -- Technologies and Architectures -- 1 Connected Vehicles in the IoV: Concepts, Technologies and Architectures -- Abstract -- 1.1 Introduction -- 1.2 Connected Vehicles: Concepts and Architectures -- 1.2.1 Types of Vehicle (or Car) Connectivity -- 1.2.2 Mobile Ad Hoc Network (MANET) -- 1.2.3 Vehicular Ad Hoc Network (VANET) -- 1.2.4 Internet of Vehicles (IoV) -- 1.2.5 Vehicle-Embedded Software Applications -- 1.3 Connected Vehicles: Enabling Technologies -- 1.3.1 Internet of Things -- 1.3.2 Cloud Computing -- 1.3.3 AI and Machine Learning -- 1.3.4 5G and DSRC Technologies -- 1.3.5 Other Related Technologies -- 1.4 Connected Vehicles: Issues and Challenges -- 1.5 Future Directions -- 1.6 Conclusions -- References -- 2 Spatial Intelligence and Vehicle-to-Vehicle Communication: Topologies and Architectures -- Abstract -- 2.1 Introduction -- 2.2 Background -- 2.3 Spatial Intelligence -- 2.4 Managing Data in Vehicular Networks -- 2.5 Vehicle Communication Models -- 2.5.1 Internet of Vehicles (IoV) -- 2.5.2 Vehicle to Vehicle (V2V) Communication -- 2.6 Node Information Dissemination Behaviour -- 2.7 Network Topologies and Information Architecture -- 2.8 Design of Vehicular Communication Models -- 2.9 Inherent Challenges and Issues -- 2.10 Future Directions in Vehicular Networks -- 2.11 Conclusion -- References -- 3 Seamless V2I Communication in HetNet: State-of-the-Art and Future Research Directions -- Abstract -- 3.1 Introduction -- 3.2 Radio Access Technologies for V2I Communication -- 3.2.1 Wi-Fi -- 3.2.2 DSRC/IEEE 802.11 -- 3.2.3 LTE-A/4G -- 3.2.4 Cellular-V2X (C-V2X) -- 3.2.5 5G New Radio (NR) -- 3.3 Handover Process in Radio Access Technologies -- 3.3.1 Handover Process -- 3.3.2 Handover in Wi-Fi -- 3.3.3 Handover in DSRC/IEEE 802.11p -- 3.3.4 Handover in LTE-A/4G -- 3.3.5 Handover in 5G. 3.4 Connectivity in HetNet: State-of-the-Art -- 3.4.1 Solutions by 3GPP -- 3.4.2 Solutions by IEEE -- 3.4.3 Other Solutions -- 3.5 V2I Connectivity: Inherent Challenges -- 3.5.1 Challenges Associated with RATs -- 3.5.2 Challenges Associated with Current HetNet Solutions -- 3.6 Future Research Directions -- 3.6.1 Multi-path TCP (MPTCP) -- 3.6.2 Multi-path IP (MPIP) -- 3.6.3 Software-Defined Vehicular HetNet -- 3.6.4 Combination of MIH and ANDSF -- 3.6.5 Combination of ANDSF and Hotspot -- 3.6.6 5G-Enabled Internet-of-Vehicles -- 3.7 Conclusion -- References -- 4 Integrating Vehicular Technologies Within the IoT Environment: A Case of Egypt -- Abstract -- 4.1 Introduction -- 4.2 Vehicular Technologies: State-of-the-Art -- 4.3 Vehicular Technologies: Architecture, Components, and Limitations -- 4.4 ITS-An Emerging IoV Application -- 4.5 Vehicular Clouds -- 4.6 Possible Solutions -- 4.7 Opportunities and Challenges for the Future -- 4.8 Conclusion -- References -- 5 Protocols and Design Structures for Vehicular Networks -- Abstract -- 5.1 Introduction -- 5.2 Background -- 5.3 Communication in Vehicular Networks -- 5.4 Vehicular Network Principles -- 5.5 Protocols in Ubiquitous Networks -- 5.6 Issues and Emerging Themes in VANET -- 5.7 Proposed MANET Structure -- 5.8 Future Research -- 5.9 Conclusion -- References -- Frameworks and Methodologies -- 6 Intelligent Traffic Management Systems for Next Generation IoV in Smart City Scenario -- Abstract -- 6.1 Introduction -- 6.2 Conventional Traffic Management Systems and Practices -- 6.2.1 Drawbacks of Conventional Traffic Management Systems -- 6.3 Intelligent Traffic Management Systems -- 6.3.1 Incident Detection and Emergency Response -- 6.3.2 Intelligent Urban Parking Assistance -- 6.3.3 Route Optimization -- 6.3.4 Vehicle Theft Identification and Detection -- 6.3.5 Automated Toll Management. 6.4 Advancements in Intelligent Traffic Management Systems -- 6.4.1 Reinforcement Learning Approach -- 6.4.2 Local Context Awareness -- 6.5 Challenges and Future Perspective -- 6.5.1 Data Integration -- 6.5.2 Security and Privacy -- 6.5.3 Investment and Operating Costs -- 6.5.4 Sabotage and System Evasion -- 6.6 Conclusion -- References -- 7 Smart Transportation Tracking Systems Based on the Internet of Things Vision -- Abstract -- 7.1 Introduction -- 7.2 Data Collection and Analysis -- 7.3 Data Analysis and Result -- 7.3.1 Measuring Attributes of Using IoT Smart Sensors in Tracking Systems -- 7.3.2 Commonly Used IoT Sensors in Vehicular Tracking Systems -- 7.3.3 Data Transfer Methods Between Sensors and Actuators -- 7.3.4 Network and Protocols Utilized in Communication Methods -- 7.3.5 Data Storage Approaches -- 7.3.6 Use of Languages and Software Systems for Tracking -- 7.3.7 Algorithms Used in Vehicular Tracking Systems -- 7.4 Discussion -- 7.5 Conclusion -- Author Contribution and Acknowledgements -- References -- 8 REView: A Unified Telemetry Platform for Electric Vehicles and Charging Infrastructure -- Abstract -- 8.1 Introduction -- 8.2 Background -- 8.2.1 Adoption of Electric Vehicles and Charging Stations -- 8.2.2 Measuring the Environmental Impact -- 8.2.3 Telemetry Platforms and Networks -- 8.3 System Design: Overview -- 8.4 Charging Infrastructures -- 8.4.1 DC Charging -- 8.4.1.1 Communication Protocols -- 8.4.1.2 User Authentication -- 8.4.1.3 Data Visualization -- 8.4.2 AC Charging -- 8.4.2.1 Communication Protocols -- 8.4.2.2 Telemetry Parameters -- 8.4.2.3 User Authentication -- 8.4.2.4 Database -- 8.4.2.5 Data Visualization -- 8.5 Vehicle Monitoring -- 8.5.1 Communication Protocols -- 8.5.2 Database -- 8.5.3 Data Visualization -- 8.5.3.1 Vehicle Tracking -- 8.5.3.2 Driving Statistics -- 8.5.3.3 Heat Maps -- 8.5.3.4 Journey Logs. 8.6 EV Charging Power Generation -- 8.6.1 Data Visualization -- 8.7 Usage Billing -- 8.7.1 Itemized Billing -- 8.7.2 Station Operator Billing -- 8.7.3 Network Overview -- 8.8 Mobile Applications -- 8.9 Results -- 8.9.1 Overall Energy Usage -- 8.9.2 Usage of Charging Infrastructure -- 8.9.3 Solar PV Monitoring -- 8.9.4 Heat Maps for EV Tracking -- 8.9.5 Charging Infrastructure Usage Forecast -- 8.10 Conclusion -- Acknowledgements -- References -- Security and Privacy in the IoT -- 9 Security and Privacy Challenges in Vehicular Ad Hoc Networks -- Abstract -- 9.1 Introduction -- 9.2 VANET Overview -- 9.2.1 VANET Architecture Components -- 9.2.2 VANET Characteristics -- 9.3 Security and Privacy in Vehicular Networks -- 9.3.1 Need for Security -- 9.3.2 Security and Privacy Requirements -- 9.3.3 Challenges in Implementing Security in VANETs -- 9.3.4 Adversaries and Adversary Models -- 9.4 Threats and Attacks in Vehicular Networks -- 9.4.1 Attacks on Authenticity and Identification -- 9.4.2 Attacks on Availability -- 9.4.3 Attacks on Confidentiality and Privacy -- 9.4.4 Attacks on Non-repudiation (Accountability) -- 9.4.5 Attacks on Integrity and Data Trust -- 9.5 Mitigation and Countermeasures -- 9.5.1 Intrusion Detection Systems -- 9.5.2 ID-Based Security Systems -- 9.5.3 Public Key/Asymmetric-Based Schemes -- 9.5.4 Symmetric-Based Schemes -- 9.5.5 Secure Routing Protocols -- 9.6 Conclusion -- References -- 10 Security Issues in Vehicular Ad Hoc Networks for Evolution Towards Internet of Vehicles -- Abstract -- 10.1 Introduction -- 10.2 Related Work -- 10.3 Existing Schemes -- 10.4 LIAT -- 10.4.1 Network and System Assumptions -- 10.4.2 Root-BS Registration Phase -- 10.4.3 BS-Vehicle Registration Phase -- 10.4.4 Authentication Phase -- 10.4.5 Algorithmic Complexity -- 10.4.5.1 Algorithmic Complexity of Root-BS Registration Phase. 10.4.5.2 Algorithmic Complexity of BS-Vehicle Registration Phase. EBL202103 XX SzGeCERN EBL Internet of things EBL Vehicular ad hoc networks (Computer networks) EBL Automated vehicles BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6012492 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2756675 BOOK MIGRATED 2756672 SzGeCERN 20210421184147.0 9783030292072 electronic version electronic version 9783030292065 print version oai:cds.cern.ch:2756672 cerncds:BOOK EBL 6012278 eng R-RZ 610.28 Daima, Hemant Kumar Nanoscience in medicine vol. 1 Cham Springer International Publishing AG 2020 503 p ebook Environmental chemistry for a sustainable world 39 Intro -- Preface -- Contents -- About the Editors -- Contributors -- Chapter 1: Nanomaterials: A Promising Tool for Drug Delivery -- 1.1 Introduction -- 1.2 Characteristics of Nanomaterial Critical for Drug Delivery -- 1.2.1 Particle Size and Shape -- 1.2.2 Surface Properties -- 1.2.3 Drug Loading and Release -- 1.2.4 Interaction of Nanomaterial with a Biological System and Targeted Drug Delivery -- 1.2.5 Biodegradability -- 1.3 Types of Nanomaterial Used in Drug Delivery -- 1.3.1 Polymeric Nanoparticles -- 1.3.2 Hydrogels -- 1.3.3 Metal Nanoparticles -- 1.3.4 Silica Nanoparticles -- 1.3.5 Micelles -- 1.3.6 Liposomes -- 1.3.7 Solid Lipid Nanoparticles -- 1.3.8 Fullerenes and Carbon Nanotubes -- 1.3.9 Dendrimers -- 1.3.10 Quantum Dots -- 1.3.11 Protein Nanocarriers -- 1.4 Nanomaterials in Drug Delivery: Some Success Stories -- 1.4.1 Nanoparticles for Dermal and Transdermal Drug Delivery -- 1.4.2 Nanoparticles for Ocular Drug Delivery -- 1.4.3 Nanoparticles for Cancer Therapy -- 1.5 Challenges of Nanomaterial for Drug Delivery -- 1.6 Conclusion -- References -- Chapter 2: Nanocarriers as Potential Targeted Drug Delivery for Cancer Therapy -- 2.1 Introduction -- 2.2 Conventional Strategy for Cancer Treatment -- 2.3 Mechanism of Action of Chemotherapeutic Agents -- 2.3.1 Pre-Deoxyribonucleic Acid Block Synthesis Prevention -- 2.3.2 Chemical Damage to Cellular Deoxyribonucleic Acid -- 2.3.3 Disruption of Mitotic Spindle Synthesis -- 2.4 Barriers and Obstacles to Drug Delivery to Cancer Cells -- 2.4.1 Physiologic Barriers -- Barriers in Physiology at Tumor Level -- Increased Fluid Pressure in the Interstitium -- Hypoxic Microenvironment -- Reduced Extracellular pH -- Barriers in Physiology at the Cellular Level -- Resistance to Multidrug by Adenosine Triphosphate-Binding Cassette Transporters -- Stress-Mediated Resistance -- Resistance to Apoptosis. 2.4.2 Other Barriers to Physiology -- 2.4.3 Physicochemical Properties of Compound Acting as Barriers -- 2.5 Nanocarrier Drug Delivery for Cancer Therapy -- 2.5.1 Liposomes -- 2.5.2 Niosomes -- 2.5.3 Transfersomes -- 2.5.4 Ethosomes -- 2.5.5 Polymeric Nanocarriers -- Polymeric Nanoparticles -- Dendrimers -- Polymeric Micelles -- Polymer-Drug Conjugates -- Polymersomes -- 2.5.6 Microemulsion -- 2.5.7 Solid Lipid Nanocarriers and Nanostructured Lipid Carriers -- 2.5.8 Lyotropic Liquid Crystalline Nanoparticles -- 2.5.9 Nanogel Nanoparticles -- 2.5.10 Virosomes -- 2.5.11 Metallic Nanoparticles -- 2.5.12 Gold Nanocarriers -- 2.5.13 Carbon Nanotubes -- 2.6 Targeting Delivery of Nanocarriers -- 2.6.1 Passive Targeting -- Enhanced Permeation and Retention Effect -- Reticuloendothelial System Uptake -- 2.6.2 Active Targeting -- 2.6.3 Physical Targeting -- 2.7 Marketed and Nonmarketed Nanocarriers for Cancer Treatment -- 2.8 Diagnostic Applications of Nanocarriers -- 2.8.1 Quantum Dot Nanoparticles -- 2.8.2 Nanoparticles of Magnetic Iron Oxide -- 2.9 Regulatory Considerations -- 2.10 Future Perspective -- 2.11 Conclusions -- References -- Chapter 3: Gold Nanoparticle-Mediated Delivery of Therapeutic Enzymes for Biomedical Applications -- 3.1 Introduction -- 3.2 Synthesis of Gold Nanoparticles -- 3.3 Biotechnology of Therapeutic Microbial Enzymes -- 3.3.1 Different Types of Therapeutic Enzymes -- 3.3.2 Therapeutic Enzyme Production -- 3.4 Methods for Developing Robust Gold Nanocarrier for Therapeutic Enzyme Delivery -- 3.5 Potential Applications of Gold Nanocarriers in Enzyme-Mediated Drug Delivery -- 3.6 Conclusion -- References -- Chapter 4: Improving Bioavailability of Vitamin A in Food by Encapsulation: An Update -- 4.1 Introduction -- 4.1.1 Absorption, Transport, and Metabolism -- 4.1.2 Source and Intake -- 4.1.3 Deficiency and Toxicity. 4.1.4 Consequence of Deficiency -- 4.2 Improving Vitamin A Bioavailability Through Nanotechnology -- 4.2.1 Improving Bioavailability Through Nanomaterials -- 4.3 Encapsulation -- 4.3.1 Principal Encapsulation Techniques -- Spray-Drying -- Spray-Cooling/Spray-Chilling -- Emulsion System -- Liposome -- Solid Lipid Nanoparticles -- Molecular Complex -- Electro-spinning -- 4.3.2 Characterization Techniques for Encapsulated Structures -- 4.3.3 The Fate of Encapsulated Vitamin a in GIT -- 4.4 Vitamin A Nanoparticles and Food Application -- 4.4.1 Safety Concerns and Risks of Vitamin A Nanoparticles -- 4.5 Conclusions -- References -- Chapter 5: Antimicrobial Activity of Nanomaterials -- 5.1 Introduction -- 5.2 Microbial Diseases and Their Existing Therapeutics -- 5.3 Nanostructured Materials as Antimicrobial Agents -- 5.3.1 Lipid Vesicles -- 5.3.2 Dendrimers -- 5.3.3 Polymeric Nanoparticles -- 5.3.4 Inorganic Nanoparticles -- 5.3.5 Carbon Nanostructures -- 5.3.6 Quantum Dots -- 5.3.7 Electrospun Nanofibres -- 5.3.8 Other Potential Nanomaterials Effective Against Microorganisms -- 5.4 Potential Toxicity of Nanomaterials -- 5.5 Conclusion and Future Prospects -- References -- Chapter 6: Advanced Nanostructures for Oral Insulin Delivery -- 6.1 Introduction -- 6.2 Oral Insulin Delivery -- 6.2.1 Merits and Demerits of Oral Insulin Delivery -- 6.2.2 Role and Mechanism of Nanocarriers in Oral Insulin Delivery -- 6.3 Nanocarrier-Mediated Oral Insulin Delivery -- 6.3.1 Insulin-Imprinted Polymeric Nanoparticle -- 6.3.2 pH-Sensitive Insulin-Loaded Nanohydrogel -- 6.3.3 Polymeric Nanoparticles and Micelles -- 6.3.4 Amphiphilic Hollow Carbon Nanosphere -- 6.3.5 Biodegradable Polymeric Systems -- Natural Polymeric Systems -- Synthetic Polymeric System -- 6.3.6 Lipid-Based Nanocarriers -- Liposomes -- Solid Lipid Nanoparticles -- 6.3.7 Insulin Bioconjugates. 6.3.8 Iron Oxide Nanoparticles -- 6.3.9 Chondroitin Sulfate-Capped Gold Nanoparticles -- 6.3.10 Insulin-Entrapped Liquid Crystalline Nanoparticles -- 6.3.11 Silica Nanoparticles -- 6.3.12 pH-Sensitive Nanostructured Polyelectrolyte Microparticles -- 6.3.13 Multilayer Nanoparticles -- 6.3.14 Electrospun Nanofibers -- 6.4 Nanostructured Insulin Delivery Systems Under Pipeline -- 6.5 Conclusion -- References -- Chapter 7: Electrospun Nano-architectures for Tissue Engineering and Regenerative Medicine -- 7.1 Introduction -- 7.1.1 Nanofibers -- 7.1.2 Biopolymers -- 7.2 Electrospinning -- 7.2.1 Types of Electrospinning -- Solution Electrospinning -- Coaxial Electrospinning -- Melt Electrospinning -- 7.2.2 Parameters that Affect Electrospinning -- 7.3 Applications of Electrospun Nanofibers -- 7.3.1 Scaffolds for Tissue Engineering -- Bone Regeneration -- Cartilage Regeneration -- Tendon Regeneration -- Cardiac Tissue Engineering -- Nerve Regeneration -- 7.3.2 Wound Dressing -- 7.3.3 Drug Delivery -- 7.4 Applications of Co-spun Nanofibers -- 7.5 Applications of Melt Spun Nanofibers -- 7.6 Existing Tissue-Engineered Constructs and Regenerative Medicines in the Market -- 7.7 Conclusion Remarks and Future Prospects -- References -- Chapter 8: Solid Lipid Nanoparticles: A Multidimensional Drug Delivery System -- 8.1 Introduction -- 8.2 Formulation and Characterization of Solid Lipid Nanoparticles -- 8.3 Properties of Solid Lipid Nanoparticles -- 8.4 In Vitro Evaluation of Solid Lipid Nanoparticles -- 8.4.1 Drug Release from Solid Lipid Nanoparticles -- 8.4.2 Effect of Electrolyte Concentration and pH -- 8.4.3 Effect of Enzymes -- 8.5 Pharmacokinetics and Tissue Distribution of Solid Lipid Nanoparticles -- 8.5.1 Intravenous Administration -- 8.5.2 Topical Application -- 8.5.3 Ocular Administration -- 8.6 Stability of Solid Lipid Nanoparticles. 8.7 Toxicity and Status of Excipients -- 8.8 Therapeutic Applications of Solid Lipid Nanoparticles -- 8.8.1 Topical Drug Delivery -- 8.8.2 Oral Drug Delivery -- 8.8.3 Pulmonary Drug Delivery -- 8.8.4 Parenteral Administration -- 8.8.5 Improved Bioavailability and Biological Barrier Permeation Enhancement -- 8.8.6 Cosmetic Applications -- 8.8.7 Brain Drug Targeting -- 8.8.8 Carriers for Peptide and Protein Drugs -- 8.8.9 Vaccine Adjuvants -- 8.8.10 Anticancer Therapy -- 8.8.11 Antitumor Drug Delivery -- 8.9 Future Perspective of Solid Lipid Nanoparticles -- 8.10 Conclusion -- References -- Chapter 9: Nanomedicine: Diagnosis, Treatment, and Potential Prospects -- 9.1 Introduction -- 9.2 Nanostructures for Disease Diagnosis -- 9.2.1 Metallic Nanoparticles for Diagnostics -- 9.2.2 Polymeric Nanoparticles for Diagnostics -- 9.2.3 Magnetic Nanoparticles for Diagnostics -- 9.2.4 Quantum Dots for Diagnostics -- 9.2.5 Aptamer Nanoparticle Conjugates for Diagnostics -- Fluorescence-Based Sensors -- Colorimetric Sensor -- Electrochemical Sensor -- 9.2.6 Nanostructures in Imaging -- 9.3 Nanostructures for Drug and Gene Delivery -- 9.3.1 Nanostructures for Cancer Treatment -- 9.3.2 Nanostructures as Antimicrobials -- 9.3.3 Nanostructures for Other Diseases -- 9.3.4 Aptamer-Nanoparticle Conjugates for Therapeutic Purposes -- 9.4 Further Applications of Nanostructures as Nanomedicine -- 9.5 Darker Side of Nanomedicine and Future Perspective -- References -- Chapter 10: Biomedical Applications of Iron- and Cobalt-Based Biomagnetic Alloy Nanoparticles -- 10.1 Introduction -- 10.1.1 Nanomedicine: Nanotechnology in Medicine -- 10.1.2 Magnetic Properties -- Diamagnetism -- Paramagnetism -- Cooperative Magnetism -- 10.1.3 Magnetic Nanoparticles -- Iron and Iron Oxide Nanoparticles -- Cobalt-Based Nanoparticles -- 10.2 Synthetic Protocols for Magnetic Nanoparticles. 10.2.1 Iron Oxide (Fe3O4) Magnetic Nanoparticles. EBL202103 XX SzGeCERN EBL Biomedical engineering EBL Nanochemistry EBL Chemotherapy BOOK PN, Navya Ranjan, Shivendu Dasgupta, Nandita Lichtfouse, Eric https://cds.cern.ch/auth.py?r=EBLIB_P_6012278 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2756672 BOOK MIGRATED 2756660 SzGeCERN 20210421184148.0 9789811520211 electronic version electronic version 9789811520204 print version oai:cds.cern.ch:2756660 cerncds:BOOK EBL 6006600 eng TA1-2040 006.3 Bhattacharyya, Siddhartha Intelligence enabled research DoSIER 2019 Singapore Springer Singapore Pte Limited 2020 139 p ebook Advances in intelligent systems and computing 1109 Intro -- Organization Committees -- Chief Patron -- Honorary Chair -- General Chairs -- Program Chairs -- Technical Co-chairs -- Organizing Secretaries -- International Advisory Committee -- Technical Program Committee -- Publicity and Sponsorship Chairs -- Local Hospitality Chairs -- Finance Chair -- Organizing Committee -- Preface -- Contents -- About the Editors -- Vehicle Pollution Detection from Images Using Deep Learning -- 1 Introduction -- 2 Methodology -- 3 Database and Experimental Setup -- 4 Result -- 5 Conclusion -- References -- Single Image De-raining Using GAN for Accurate Video Surveillance -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 The Basic Idea Behind the Work -- 3.2 Network Architecture -- 4 Result and Discussion -- 5 Conclusion -- References -- Towards a Framework for Performance Testing of Metaheuristics -- 1 Introduction -- 2 Related Work -- 3 Proposed Framework -- 4 Testing and Analysis -- 5 Conclusions and Future Work -- References -- Automatic Clustering of Hyperspectral Images Using Qutrit Based Particle Swarm Optimization -- 1 Introduction -- 2 Related Work -- 3 Some Basic Concepts -- 3.1 Quantum Computing -- 3.2 Hyperspectral Image Band Fusion Method -- 4 Proposed Methodology -- 5 Experimental Results -- 5.1 Dataset -- 5.2 Fitness Function -- 5.3 Analysis -- 6 Conclusion -- References -- Multi-class Image Segmentation Using Theory of Weak String Energy and Fuzzy Set -- 1 Introduction -- 2 Theory of Weak String -- 3 Multi-class Image Segmentation and the Concept of Weak String -- 3.1 Process of Image Segmentation -- 3.2 Segmentation Based on Fuzzy Set -- 3.3 Proposed Concept of Weak String for Multi-class Segmentation -- 3.4 Proposed Algorithm -- 4 Results and Discussion -- 5 Conclusion -- References -- Stabilization of Nonlinear Optimum Control Using ASRE Method -- 1 Introduction. 2 Linearization of Output to the Non-linear System -- 3 Example: A Nonlinear Self Explanatory System -- 4 Stabilization of the System Using ASRE Methodology -- 5 Quadratic Control of a Time-Varying System -- 6 Conclusion -- References -- Patient-Specific Seizure Prediction Using the Convolutional Neural Networks -- 1 Introduction -- 2 Related Works -- 3 Implementation -- 3.1 Database Used -- 3.2 Preprocessing -- 3.3 Convolutional Neural Network -- 4 Experimental Results -- 5 Discussions and Conclusion -- References -- A Deep Learning Approach for the Classification of Rice Leaf Diseases -- 1 Introduction -- 2 Proposed Work -- 2.1 Images Collection -- 2.2 Images Preprocessing and Augmentation -- 2.3 The Construction of Convolutional Neural Network Structure -- 2.4 Training-Progress Graphs of the Designed CNN Model -- 3 Experimental Results -- 4 Conclusion -- References -- Identification of Seven Low-Resource North-Eastern Languages: An Experimental Study -- 1 Introduction -- 2 Purpose of Work -- 3 About Low-Resource Languages of North-East India -- 4 Data Preparation -- 4.1 Experimental Data Set -- 4.2 Data Collection -- 4.3 Data Transcription -- 5 Proposed Architecture and Methodology -- 5.1 Feature Extraction -- 5.2 Training and Testing Module -- 6 Results and Discussion -- 6.1 Performance of Baseline System -- 6.2 Performance of Language Family Classification Module -- 6.3 Performance Analysis of Proposed Methods -- 7 Conclusions -- References -- Implications of Nonlinear Control Over Traditional Control for Alleviating Power System Stability Problem -- 1 Contributions of the Research Undertaken -- 2 Deterministic Approach for the Design of Nonlinear Controller -- 2.1 Nonlinear Excitation Controller (NEC) via Zero Dynamics Design Approach -- 2.2 Design of Nonlinear SATCOM Controller of a Power System. 2.3 Application of Noncooperative Game Theory in Nonlinear Controller Design -- 3 Stochastic Approach for the Design of Nonlinear Controller -- 3.1 LMI-Based Hinfty Excitation Controller Design -- 3.2 Design of Conventional STATCOM Applying PSO- and GA-Based Techniques -- 4 Performance Analysis of Nonlinear STATCOM Controller -- 5 Conclusion -- References -- Towards Sustainable Indian Smart Cities: An AHP Study -- 1 Introduction -- 2 Study Methodology -- 3 Model Description -- 4 Results and Discussion -- 4.1 Case Study 1: High Environmental Priority -- 4.2 Case Study 2: High Economic Priority -- 4.3 Case Study 3: High Social Priority -- 4.4 Sensitivity Analysis -- 5 Conclusion -- References -- Temporal Sentiment Analysis of the Data from Social Media to Early Detection of Cyberbullicide Ideation of a Victim by Using Graph-Based Approach and Data Mining Tools -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 4 Algorithm -- 4.1 Algorithm for Cyberbullicide Detection -- 5 Result and Discussion -- 5.1 n-gram Approach -- 6 Conclusion and Future Scope -- References -- Intelligent Color Image Watermarking Using Phase Congruency -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Watermark Embedding -- 2.2 Watermark Extracting -- 3 Results and Discussion -- 4 Conclusion -- References -- Local Shearlet Energy Gammodian Pattern (LSEGP): A Scale Space Binary Shape Descriptor for Texture Classification -- 1 Introduction -- 2 Proposed Method -- 2.1 Shearlet Transform -- 2.2 Local Gammodian Binary Pattern -- 2.3 Local Shearlet Energy Gammodian Pattern Representation -- 2.4 Similarity Measure -- 3 Results and Discussion -- 4 Conclusion -- References. EBL202103 XX SzGeCERN BOOK Mitra, Sushmita Dutta, Paramartha https://cds.cern.ch/auth.py?r=EBLIB_P_6006600 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2756660 BOOK MIGRATED 2756639 SzGeCERN 20210421184149.0 9789811503726 electronic version electronic version 9789811503719 print version oai:cds.cern.ch:2756639 cerncds:BOOK EBL 5989063 eng Q325.5 .A383 2020 6.31 Jain, Vanita Advances in data sciences, security and applications proceedings of ICDSSA 2019 Singapore Springer Singapore Pte Limited 2019 466 p ebook Lecture notes in electrical engineering 612 Intro -- Preface -- Contents -- About the Editors -- Classification and Analysis of Real-World Earthquake Data Using Various Machine Learning Algorithms -- 1 Introduction -- 1.1 Data Acquisition and Description -- 1.2 Feature Selection -- 1.3 Data Normalization -- 1.4 Data Partitioning -- 2 Model Implementation, Prediction, and Optimization -- 2.1 Implementation of K-Nearest Neighbor Algorithm -- 2.2 Implementation of Random Forest Algorithm in R -- 2.3 Implementation of Naïve Bayes Algorithm in R -- 2.4 Implementation of Support Vector Machine Algorithm in R -- 3 Conclusion and Future Work -- References -- Crime Data Set Analysis Using Formal Concept Analysis (FCA): A Survey -- 1 Introduction -- 1.1 Types of Crime Analysis -- 1.2 Potential Attributes for Crime Analysis -- 1.3 Crime Pattern Analysis -- 1.4 Crime Pattern Types -- 1.5 Dimensions of Criminology -- 2 Literature Analysis Using Scopus -- 3 Background -- 4 Preliminaries -- 4.1 Formal Concept Analysis (FCA) -- 4.2 Definitions of Formal Concept Analysis (FCA) -- 5 Proposed Work -- 6 Conclusion -- References -- Analyzing the Patterns of Delhi's Air Pollution -- 1 Introduction -- 1.1 Status of Air Contamination in Delhi -- 2 Impacts of Air Contamination on Our Wellbeing -- 3 Recognizing Examples in New Delhi Zone Air Contamination -- 4 Conclusion -- 5 Future Study -- References -- Predictive Analysis of NARX, NLIO, and RNN Networks for Short-Term Wind Power Forecasting -- 1 Introduction -- 2 Description of Algorithms -- 2.1 Nonlinear Auto-regressive Exogenous (NARX) -- 2.2 Nonlinear Input-Output (NLIO) -- 2.3 Recurrent Neural Network (RNN) -- 3 Simulation and Results -- 3.1 Mean Square Error (MSE) -- 3.2 Mean Absolute Error (MAE) -- 3.3 Mean Absolute Percentage Error (MAPE) -- 3.4 Root Mean Square Error (RMSE) -- 4 Results and Discussions -- 5 Conclusion -- References. Training Data on Recursive Parallel Processors for Deep Learning -- 1 Introduction -- 2 Literature Review -- 2.1 Challenges -- 3 Proposed Work -- 4 Results and Analysis -- 5 Conclusion and Future Work -- References -- Advanced Anti-theft and Accident Alert System for Two-Wheelers Using Location-Based Services -- 1 Introduction -- 2 Related Work -- 3 Proposed System -- 3.1 Hardware Module -- 3.2 Software Module -- 4 Results -- 5 Conclusion -- References -- A Data Analytics Framework for Decision-Making in Agriculture -- 1 Introduction -- 2 Study and Background Work -- 2.1 Challenges and Opportunities for the Policy Statement "Diversification from Low Value to High-Value Crops Using Digital Technologies to Increase Farmers' Income" -- 3 Data Analytics Framework -- 3.1 Simulation -- 3.2 Social Networking -- 3.3 Statistical Analysis -- 4 Conclusion -- References -- Design Flaws and Cryptanalysis of a Standard Mutual Authentication Protocol for Cloud Computing-Based Healthcare System -- 1 Introduction -- 1.1 Motivation and Contribution -- 1.2 Paper Organization -- 2 Overview of Mohit et al. Framework -- 2.1 HUP -- 2.2 PUP -- 2.3 TP -- 2.4 CP -- 3 Design Flaws, Cryptanalysis and Improvement of Mohit et al. Scheme -- 3.1 Inefficient HUP -- 3.2 Inefficient PUP -- 3.3 Inefficient TP -- 3.4 Inefficient CP -- 4 Conclusion -- References -- Cognitive Radio Based Environmental Health Monitoring and Regulation System for Toxic Gases -- 1 Introduction -- 2 System Model -- 3 The Microcontroller -- 4 The Sensors -- 5 Energy Production -- 6 Cognitive Radio Node System Model -- 7 Results -- 8 Conclusion -- References -- How to Help Johnny to Travel in a Brimming Train? -- 1 Introduction -- 2 Problem Statement -- 3 Dynamic Seating Allocation (DSA) -- 3.1 Dynamic Seating for a Single Person -- 3.2 Variation Number -- 3.3 Dynamic Seating for Group. 3.4 Connecting Trains for Dynamic Seating -- 4 Algorithm Summary -- 5 Application and Future Scope -- 6 Conclusion -- References -- Soft Computing Paradigms Based Clustering in Wireless Sensor Networks: A Survey -- 1 Introduction -- 2 Clustering Wireless Sensor Networks -- 3 Related Work -- 4 Conclusion -- References -- ANN Model for Liver Disorder Detection -- 1 Introduction -- 2 Related Approach -- 3 Our Approach -- 3.1 Logistic Regression -- 3.2 Support Vector Machine -- 3.3 Naïve Bayes -- 3.4 Artificial Neural Network -- 4 Experimental Approach -- 4.1 Defining Dataset -- 4.2 Pre-processing -- 4.3 Results -- 5 Conclusion -- 6 Future Enhancement -- References -- Design Flaws and Cryptanalysis of Elliptic Curve Cryptography-Based Lightweight Authentication Scheme for Smart Grid Communication -- 1 Introduction -- 1.1 Our Contributions -- 1.2 Paper Organization -- 2 Preliminaries -- 2.1 Notations Used -- 2.2 Elliptic Curve Cryptography -- 3 Overview of Mahmood et al. Scheme -- 3.1 Initialization Phase -- 3.2 Registration Phase -- 3.3 Authentication Phase -- 4 Design Flaws and Cryptanalysis of Mahmood et al. Scheme -- 4.1 Fails to Protection Session Key -- 4.2 Guessing Identity Attack -- 4.3 Insider Attack -- 4.4 User Anonymity -- 4.5 Impersonation Attack in Registration Phase -- 4.6 Stolen Device Attack -- 4.7 Lack of Login Phase -- 4.8 Lack of Password Information -- 4.9 Clock Synchronization Problem -- 5 Suggested Improvement for Mahmood et al. Scheme -- 6 Conclusion -- References -- Distributed Authentication Security for IOT Using DASS and LOKI91 -- 1 Introduction -- 2 Related Work -- 3 Proposed System -- 3.1 System Architecture -- 3.2 Algorithm for Distributed Authentication Security Service (Table 1) -- 4 Simulation Parameter -- 5 Simulation Results -- 6 Algorithm Analysis Table -- 7 Conclusion and Future Scope -- References. Macro Factors Affecting Cloud Computing Readiness: A Cross-Country Analysis -- 1 Introduction -- 2 Literature Review -- 2.1 Prerequisites for Cloud Readiness -- 2.2 Evaluating Growth Enablers for Cloud Readiness -- 3 Conceptual Model -- 4 Methodology -- 4.1 Data Source -- 4.2 BSA Cloud Computing Scorecard -- 4.3 Global Innovation Index -- 4.4 Data Analysis -- 5 Results and Findings -- 5.1 Regression Results-Influence of Macro Variable on Prerequisites Aspects of Cloud Readiness -- 5.2 Regression Results-Influence of Macro Variable on Growth-Enablers Aspects of Cloud Readiness -- 6 Discussion -- 7 Conclusion -- References -- Controller Area Network for Battlefield-of-Things -- 1 Introduction -- 2 CAN-Military Parlance -- 3 Data Parameters in BoTs -- 3.1 Firepower -- 3.2 Vehicle Health -- 3.3 Location -- 4 Proposed Work: Modelling CAN for Decision Support -- 4.1 Networks and Communication -- 4.2 Visibility of Information -- 4.3 Simulation and Results -- 5 Dimensions of a Battlefield -- 5.1 Ammunition -- 5.2 Health -- 5.3 Location and Logistics -- 5.4 Command and Control (CC) -- 5.5 Battle and Knowledge Management -- 6 Conclusion -- References -- An Experimental Approach to Unravel Effects of Malware on System Network Interface -- 1 Introduction -- 2 Literature Review -- 3 Design Methodology -- 4 Results and Discussion -- 4.1 Network Scanning of ZeroAccess Rootkit -- 4.2 Network Scanning of Darkmegi Rootkit -- 4.3 Network Scanning of TDL-4 Rootkit -- 4.4 Network Scanning of xpajMBR Rootkit -- 5 Conclusion -- References -- Smart Ticketing for Academic Campus Shuttle Transportation System Based on RFID -- 1 Introduction -- 2 Literature Review -- 2.1 E-Ticketing System -- 2.2 Review of Related Work -- 3 Design Methodology -- 3.1 Modeling the Proposed System -- 3.2 Functional Requirements -- 3.3 Non-Functional Requirements -- 4 Implementation and Result. 4.1 Packaging -- 4.2 System Implementation and Testing -- 5 Conclusion -- References -- Design of Big Data Privacy Framework-A Balancing Act -- 1 Introduction -- 2 Digital Revolution-The Big Data Setup -- 2.1 Social Media -- 2.2 Location-Based Data -- 2.3 Clinical Research -- 2.4 Web Data -- 2.5 IoT -- 3 Previous Work-Privacy and Analytics -- 4 Proposed Research Directions -- 4.1 Privacy-Aware MapReduce Framework -- 4.2 Privacy-Aware Anonymization on Cloud -- 5 ERRC Grid-Privacy-Preserving Analytics -- 6 Conclusion -- References -- Robust Speaker Recognition Based on Low-Level- and Prosodic-Level-Features -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Feature Extraction -- 4.1 Low-Level Features -- 4.2 Prosodic Feature Extraction -- 4.3 Fusion Technique -- 5 Results and Discussions -- 5.1 Results with Pitch -- 6 Conclusion -- References -- Classification of Astronomical Objects Using Various Machine Learning Techniques -- 1 Introduction -- 2 Features [15] -- 3 Results -- 3.1 For Logistic Regression -- 3.2 For Support Vector Machines (SVM) -- 3.3 For Random Forest Classifier -- 3.4 For Decision Tree Classifier -- 4 Conclusions -- References -- Soundex Algorithm for Hindi Language Names -- 1 Introduction -- 1.1 Related Work -- 2 Phonetic Matching -- 3 Soundex Algorithm -- 3.1 Related Work -- 3.2 Implementation -- 3.3 Precision of Algorithm -- 4 Conclusions and Future Scope -- References -- How Do Innovation Lifecycle Phases Affect the Innovation Success of IT Firms? -- 1 Introduction -- 2 Theoretical Background and Research Hypotheses -- 2.1 Innovation Success -- 2.2 Research Phase and Innovation Success -- 2.3 Development Phase and Innovation Success -- 2.4 Commercialization Phase and Innovation Success -- 2.5 The Conceptual Model of the Research -- 3 Methodology -- 3.1 Questionnaire Development, Sampling, and Data Collection. 3.2 Innovation Success as the Dependent Variable and Its Measure. EBL202103 XX SzGeCERN BOOK Chaudhary, Gopal Taplamacioglu, M Cengiz Agarwal, MS Jain, Vanita https://cds.cern.ch/auth.py?r=EBLIB_P_5989063 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2756639 BOOK MIGRATED 2756638 SzGeCERN 20210421184149.0 9789813297753 electronic version electronic version 9789813297746 print version oai:cds.cern.ch:2756638 cerncds:BOOK EBL 5989049 eng TK7874 .A383 2020 621.39499999999998 Dutta, Debashis Advances in VLSI, communication, and signal processing select proceedings of VCAS 2018 Singapore Springer Singapore Pte Limited 2019 1004 p ebook Lecture notes in electrical engineering 587 Intro -- VCAS 2018 Committees -- Chief Patron -- Patron -- General Chair -- Program Chair -- Organizing Chair -- Keynote Chair -- Tutorial Chair -- Workshop Chair -- Public Relation Chair -- Publication Chair -- Finance Chair -- Program Co-Chair -- Event Management Chair -- Publicity Chair -- Industrial Chair -- Hospitality Chair -- Registration Chair -- Resource Generation Chair -- Website Chair -- Workshop Co-Chair -- Hospitality Co-Chair -- Tutorial Co-Chair -- Registration Co-Chair -- Organizing Secretary -- Advisory Committee -- Technical Program Committee -- Organizer -- Preface -- Contents -- Editors and Contributors -- Communication Engineering -- BER Performance Evaluation of Different Modulation Techniques for Underwater FSO Communication System -- 1 Introduction -- 2 Motivation and Contribution -- 3 Proposed Work -- 4 Signal-to-Noise Ratio (SNR) Equation -- 5 Results and Discussion -- 6 Conclusion -- References -- Reliable Location-Aware Routing Protocol for Urban Vehicular Scenario -- 1 Introduction -- 2 Related Work -- 3 Protocol Overview -- 3.1 Forwarder Selection Process: A Two-Level Process -- 3.2 Road Selection Process -- 4 Simulation Results -- 4.1 Packet Delivery Ratio (PDR) -- 4.2 Throughput -- 4.3 End to End Delay -- 5 Conclusion -- References -- DFT Precoder Technique Combined with µ-Law Companding for PAPR Reduction in OFDM System -- 1 Introduction -- 2 Problem Formulation -- 3 Proposed PAPR Reduction and System Model -- 3.1 Discrete Fourier Transform (DFT) and DFT Matrix -- 3.2 DFT Precoder Matrix Based OFDM System -- 3.3 Companded OFDM Signals -- 3.4 Receiver Section -- 4 Simulation Results and Discussion -- 5 Conclusion -- References -- Power Sector Reforms, Strategies, and Contribution of Private Sector -- 1 Key Issues Facing the Indian Power Sector -- 1.1 Financial Viability of the SEBs. 1.2 Inadequate Investment in the Sector -- 1.3 T&amp -- D Losses -- 1.4 Inefficient Tariff Structure -- 2 Key Lessons from Latin America and East Asian Experience -- 3 Power Sector Reforms -- 3.1 Steps to Be Taken for Power Sector Reform in a Developing Country like India -- 4 Policies of Power Sector -- 4.1 Generation -- 4.2 Thermal Generation -- 4.3 Power -- 4.4 Nonconventional Energy Sources -- 4.5 Renovation &amp -- Modernization (R&amp -- M) -- 4.6 Transmission -- 4.7 Distribution -- 4.8 Technology Development and R&amp -- D -- 4.9 Transmission &amp -- Distribution Losses -- 4.10 Energy Conservation -- 4.11 Environmental Issues -- 4.12 Protection of Consumer Interests and Quality Standards -- 4.13 Fuel Usage -- 5 Private Sector Participation -- 5.1 Introduction -- 5.2 Need for Privatization -- 5.3 Financial Viability of the SEBs -- 6 Ensuring Long-Term Commitment of the Private Operators -- 6.1 Enron-Led Dabhol Power Project -- 6.2 Losses -- 7 Conclusion -- References -- Performance Evaluation of IEEE 802.11p Physical Layer for Efficient Vehicular Communication -- 1 Introduction -- 2 Related Works -- 3 IEEE 802.11p Transmission Process -- 4 Results and Discussion -- 5 Conclusions -- References -- A Robust Energy-Efficient Cluster-Based Routing Protocol for Mobile Wireless Sensor Network -- 1 Introduction -- 2 Related Work -- 3 Proposed Protocol -- 3.1 Network Model -- 3.2 Cluster Head Selection and Cluster Formation -- 3.3 Proposed Routing Algorithm -- 4 Performance Evaluation -- 5 Conclusion and Future Work -- References -- A Resource Allocation Protocol to Meet QoS for Mobile Ad-hoc Network (MANET) in Tactical Scenario -- 1 Introduction -- 2 Scenario Description -- 3 Waveform Design -- 3.1 Network Control Packet (NCP) -- 3.2 Traffic Data Packet (TDP) -- 3.3 Network Synchronization Packet (NSP) -- 3.4 Network Information Packet (NIP). 4 Channel Allocation Method -- 5 Implementation and Results -- 6 Conclusion -- References -- Comparative Study of Anomaly Detection in Wireless Sensor Networks Using Different Kernel Functions -- 1 Introduction -- 2 Literature Review and Theory of SMO-SVM -- 2.1 Literature Review -- 2.2 Sequential Minimal Optimization SVM -- 3 Results and Discussion -- 4 Conclusion -- References -- Proactive Spectrum Handoff-Based MAC Protocol for Cognitive Radio Ad hoc Network -- 1 Introduction -- 2 Related Works -- 3 Problem Statement and System Model -- 4 Operation of the Proposed Protocol -- 4.1 Method to Check the Selected Channel Is Free or Not -- 5 Performance Evaluation -- 6 Conclusion -- References -- An Energy-Efficient Framework Based on Random Waypoint Mobility Model in WSN-Assisted IoT -- 1 Introduction -- 2 Related Work -- 3 Mobility Models Classification -- 3.1 Random Based Mobility Model -- 3.2 Temporal Dependencies -- 3.3 Geographic Restrictions -- 3.4 Hybrid Characteristics -- 4 System Model -- 4.1 Propose Framework -- 4.2 Assumptions -- 4.3 Energy Model -- 4.4 Network Life Time -- 5 Efficient Communication Algorithm -- 6 Result Discussion -- 7 Conclusion -- References -- A Scheduling Algorithm Including Deadline of Messages in Vehicular Ad hoc Network -- 1 Introduction -- 2 Related Works -- 3 Problem Statement and System Model -- 4 Proposed Scheme -- 5 Results and Discussions -- 6 Conclusion -- References -- Hardware Implementation of Simeck Cipher as a Lightweight Hash Function -- 1 Introduction -- 2 Simeck Cipher -- 3 Simeck Hash Generator -- 3.1 Simeck Architecture -- 4 Hardware Implementation -- 5 Security Analysis -- 5.1 Preimage Resistance -- 5.2 Second Preimage Resistance -- 5.3 Collision Attack -- 6 Conclusion -- References -- Comparative Study of PSO-Based Hybrid Clustering Algorithms for Wireless Sensor Networks -- 1 Introduction. 2 Background on Clustering Algorithms -- 2.1 K-Means (KM) [5] -- 2.2 K-Harmonic Means (KHM) [15, 16] -- 2.3 Fuzzy C-Means (FCM) [13] -- 2.4 Particle Swarm Optimization (PSO) -- 3 Results and Discussion -- 4 Conclusion -- References -- Modified Cluster Head Election Scheme Based on LEACH Protocol for MI-Driven UGWSNs -- 1 Introduction -- 1.1 Motivation -- 1.2 Contributions -- 2 LEACH Protocol -- 2.1 Proposed Heterogeneous WSN on MI-Based Approach -- 3 Results and Analysis -- 4 Conclusion -- References -- Stable Energy-Efficient Routing Algorithm for Dynamic Heterogeneous Wireless Sensor Networks -- 1 Introduction -- 2 SERA Protocol -- 3 Simulation Results -- 4 Conclusion -- References -- Comparative Study of Different Routing Protocols for IEEE 802.15.4-Enabled Mobile Sink Wireless Sensor Network -- 1 Introduction -- 2 IEEE 802.15.4 -- 3 Routing Protocols -- 4 Proposed Work -- 5 Simulation and Parameter Analysis -- 6 Results and Discussions -- 7 Conclusion -- References -- Cooperative Communications Framework for Industrial Applications -- 1 Introduction -- 2 The Proposed Framework -- 3 Simulation Results and Discussion -- 4 Conclusion and Future Scope -- References -- p-Cycles as Their Own m-Cycles for Fault Detection and Localization in Elastic Optical Networks -- 1 Introduction -- 2 p-Cycle Concept in Elastic Optical Networks -- 3 m-Cycle Concept in Elastic Optical Networks -- 4 ILP Optimization Model -- 5 Simulations and Results -- 6 Conclusion -- References -- Analysis of Modified Swastika Shaped Slotted (MSSS) Microstrip Antenna for Multiband and Ultra-wideband Applications -- 1 Introduction -- 2 Basic Microstrip Antenna -- 3 Description of MSSS Microstrip Antenna -- 4 Results and Discussion -- 5 Conclusions -- References -- A Compact Star Shaped Fractal Antenna for Multiband Applications -- 1 Introduction -- 2 Design of Antenna Geometry. 3 Results and Discussion -- 3.1 First Iteration Structure -- 3.2 Second Iteration Structure -- 3.3 Third Iteration Structure -- 4 Conclusion -- References -- Dual-Band Modified U-Shaped Slot Antenna with Defected Ground Structure for S-Band Applications -- 1 Introduction -- 2 Design of Antenna Geometry -- 2.1 Simple U-Shaped Slot Antenna -- 2.2 Modified U-Shaped Slot Antenna -- 2.3 Fabricated Antenna -- 3 Results and Discussion -- 3.1 Comparison of Results of Simple U-Shaped and Modified U-Shaped Slot Antenna -- 4 Conclusion -- References -- Localization of Sensor Nodes in WSN Using Area Between a Node and Two Beacons -- 1 Introduction -- 1.1 Related Work -- 1.2 Novelty -- 2 Proposed Scheme: Localization Using Area Between a Node and Two Beacons -- 3 Results and Performance Analysis -- 3.1 Simulation Results and Discussion -- 4 Conclusion and Future Scope -- References -- A Compact Rectangular Patch Antenna with Defected Ground Structure for Multiband Applications -- 1 Introduction -- 2 Design of Patch Antenna Geometry -- 3 Design of Multiband Antenna Using DGS -- 3.1 Patch Antenna with Dumbbell-Shaped DGS -- 4 Results and Discussion -- 4.1 Return Loss -- 4.2 VSWR -- 4.3 Radiation Pattern -- 4.4 Gain -- 4.5 Efficiency -- 5 Conclusion -- References -- Optimizing Resource Allocation of MIMO-OFDM in 4G and Beyond Systems -- 1 Introduction -- 2 Design of Cyclic Prefix -- 3 Capacity and Energy Efficiency in MU-MIMO -- 4 Conclusion -- References -- Design and Development of 2.1 GHz Horn Antenna -- 1 Introduction -- 2 Horn Antenna Design -- 3 Designing of Horn Antenna -- 3.1 Experimental Setup -- 3.2 Simulation Modeling -- 4 Result and Analysis -- 5 Conclusion -- References -- Full-Duplex Wireless Communication in Cognitive Radio Networks: A Survey -- 1 Introduction -- 1.1 Need for Full-Duplex Communication in CRN -- 1.2 Contributions of This Survey Article. 2 Cognitive Radio and Full-Duplex (FD) Communication. EBL202103 XX SzGeCERN BOOK Kar, Haranath Kumar, Chiranjeev Bhadauria, Vijaya https://cds.cern.ch/auth.py?r=EBLIB_P_5989049 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2756638 BOOK MIGRATED 2756585 SzGeCERN 20210421184152.0 9789811371424 electronic version electronic version 9789811371417 print version oai:cds.cern.ch:2756585 cerncds:BOOK EBL 5982459 eng R856 .A675 2019 610.28 Paul, Sudip Application of biomedical engineering in neuroscience Singapore Springer Singapore Pte Limited 2019 483 p ebook Intro -- Preface -- Acknowledgments -- Contents -- About the Editor -- Part I: Introduction of Human Physiology -- 1: Overview of the Internal Physiological System of the Human Body -- 1.1 Blood Vascular System -- 1.2 Cardiovascular System -- 1.3 Digestive System -- 1.4 Respiratory System -- 1.5 Renal System -- 1.6 Musculoskeletal System -- 1.7 Nervous System -- 1.8 Chapter Summary -- References -- Part II: The Brain -- 2: Animal Models of Ischemic Stroke -- 2.1 Introduction -- 2.2 Types of Focal Ischemic Models of Stroke -- 2.2.1 Intraluminal Suture MCAO Model -- 2.2.2 Craniectomy Model -- 2.2.3 Photothrombotic Model -- 2.2.4 Endothelin-1 Model -- 2.2.5 Embolic Stroke Model -- 2.3 Conclusion -- References -- 3: Retrain the Brain Through Noninvasive Medically Acclaimed Instruments -- 3.1 Introduction -- 3.2 Transcranial Magnetic Stimulation -- 3.3 Principle of TMS -- 3.4 Diagnostic and Therapeutic Application of TMS -- 3.5 Motor Threshold -- 3.6 Central Motor Conducting Time -- 3.6.1 Motor-Evoked Potential -- 3.6.2 Silent Period -- 3.6.3 Transcallosal Conduction -- 3.6.4 Paired Pulse TMS -- 3.7 TMS for Neurosurgery -- 3.8 Therapeutic Uses of TMS in Various Conditions -- 3.8.1 Therapeutic Effect of TMS in Alzheimer´s Disease -- 3.8.2 Therapeutic Effect of TMS on Depression -- 3.8.3 Therapeutic Effect of TMS on Spinal Cord Injury -- 3.8.4 Therapeutic Effect of TMS on Stroke -- 3.8.5 TMS and Its Applications in Children -- 3.8.6 General Application of TMS in Children -- References -- Part III: Introduction to Neurodegenerative and Regenerative Disorders -- 4: Scientific Basis of Ayurvedic Medicine: In Hunt for a Cure to Alzheimer´s Disease -- 4.1 Introduction -- 4.2 Etiology and Pathogenesis -- 4.2.1 β-Amyloid Plaques -- 4.2.2 Neurofibrillary Tangles -- 4.2.3 Loss of Cholinergic Neurons -- 4.3 Ayurvedic Perspective of AD. 4.4 Clinical Examination and Diagnosis -- 4.5 Management -- 4.5.1 Medhya Rasayana Drugs -- 4.6 Scientific Basis -- 4.6.1 Nootropic Plants -- 4.6.1.1 Pharmacological Studies -- Bacopa monniera (Brahmi) -- Centella asiatica (Mandookparni) -- Convolvulus pluricaulis Chois (Shankhpushpi) -- Eugenia caryophyllus spl. (Laung) -- Glycyrrhiza glabra Linn. (Yastimadhu) -- Lawsonia inermis Linn. (Mehndi) -- Nardostachys jatamansi DC. (Jatamansi) -- Pongamia pinnata (Karanj) -- Tinospora cordifolia F.Vill (Guduchi) -- Withania somnifera Dunal (Ashwagandha) -- 4.6.1.2 Clinical Studies -- 4.6.1.3 Bacopa monniera Linn. (Brahmi) -- 4.6.1.4 Centella asiatica Linn. (Mandookparni) -- 4.7 Nootropic Polyherbal and Mineral Preparations. -- 4.7.1 Indian Noni -- 4.7.2 Memorin (Phytopharma) -- 4.7.3 Mentat (Himalaya Healthcare) -- 4.7.4 Shankhpushpi Syrup (Baidyanath) -- 4.7.5 Trasina (Dey´s Pharmaceuticals) -- 4.7.6 Saraswatarishta (Baidyanath) -- 4.7.7 Vidyarthi Amrit (Maharishi Ayurveda) -- 4.7.8 Dimag Paushtik Rasayan (Baidyanath) -- 4.7.9 Geriforte (Himalaya) -- 4.7.10 Mineral Preparations -- 4.7.10.1 Siddh Makardhwaja (Mercury) -- 4.7.10.2 Swarna Bhasma (Gold) -- 4.8 Summary and Conclusion -- References -- 5: Memory Dysfunction Correlates with the Dysregulated Dopaminergic System in the Ventral Tegmental Area in Alzheimer´s Disease -- 5.1 Introduction -- 5.2 Alzheimer´s Disease and Neurodegeneration -- 5.2.1 Role of Amyloid Beta in Neurodegeneration in Alzheimer's Disease -- 5.2.2 Role of Tau Tangles in Neurodegeneration in Alzheimer's Disease -- 5.2.3 Role of Signaling Pathways in Neurodegeneration in Alzheimer's Disease -- 5.3 Role of the Dopaminergic System in the Ventral Tegmental Area in Neurodegeneration -- 5.3.1 Dopaminergic Neurodegeneration in the Ventral Tegmental Area in Alzheimer´s Disease. 5.3.2 Degeneration of Ventral Tegmental Area Dopamine Neurons and Neurobehavioral Symptoms -- 5.4 The Dopaminergic System: A Pharmacotherapeutic Target for Attenuation of Alzheimer's Disease Symptoms -- 5.5 Conclusion -- References -- Part IV: Brain Images and Its Classifications -- 6: Substance Dependence: Overview of the Environmental, Genetic, Epigenetic, and Imaging Studies -- 6.1 Introduction -- 6.2 Intensity of the Problem -- 6.3 Genetics -- 6.4 Alcohol-Metabolizing Enzymes -- 6.5 Opioid Receptor Mu1 (OPRM1) -- 6.6 Polymorphisms of Neurotransmitter Pathway Genes -- 6.7 Dopaminergic Pathway -- 6.8 Catechol-O-Methyltransferase (COMT) -- 6.9 Serotonin Pathway -- 6.10 GABA Pathway -- 6.11 Glutamate Pathway -- 6.12 Genome-Wide Association Studies (GWAS) -- 6.13 Epigenetics -- 6.14 Genome-Wide Methylation Studies in Substance Dependence -- 6.15 Brain Imaging -- 6.16 Screening of μ-Opioid Receptors Using PET and SPECT Imaging -- 6.17 Screening of Dopamine Transporter Using PET and SPECT Imaging -- 6.18 Conclusion -- References -- 7: Fundamentals of Electroretinogram and Analysis of Retinal Fundus Image -- 7.1 Overview and Introduction -- 7.2 Anatomy and Physiology of an Eye -- 7.2.1 What Makes Up an Eye? -- 7.2.2 Visual Pathway -- 7.3 Electroretinogram Components -- 7.3.1 Placement of Electrodes -- 7.3.2 Diagnosis of Glaucoma Using ERG -- 7.4 Ocular Hypertension -- 7.4.1 Causes (Fig. 7.5) -- 7.5 Glaucoma -- 7.5.1 Types of Glaucoma -- 7.5.2 Available Diagnostic Methods -- 7.6 Analysis Techniques for Retinal Fundus Images -- 7.6.1 Proposed Methods for Detection of Glaucoma -- 7.6.2 Preprocessing -- 7.6.3 Segmentation from Preprocessed Image -- 7.6.3.1 Multi-thresholding Technique -- 7.6.3.2 Active Contour Method -- 7.6.3.3 Region Growing Segmentation -- 7.7 ERG-Based Interfaces for Assisting Disables -- 7.7.1 Low Vision Aids -- 7.7.2 A Talking Scanner. 7.8 Conclusions -- References -- Part V: EEG, EOG and Its Significance -- 8: Advanced Approaches for Medical Image Segmentation -- 8.1 Introduction -- 8.2 Different Approaches for Medical Image Segmentation -- 8.2.1 Hard Computing Approaches -- 8.2.1.1 Thresholding Method -- 8.2.1.2 Edge-Based Method -- 8.2.1.3 Region-Based Segmentation -- 8.2.1.4 Watershed Algorithm -- 8.2.1.5 Morphological-Based Method -- 8.2.1.6 K-Means Clustering -- 8.2.1.7 Markov Random Field (MRF) -- 8.2.1.8 PSO (Particle Swarm Optimization)-Based Method -- 8.2.1.9 Normalized Cut Method -- 8.2.2 Soft Computing Approaches -- 8.2.2.1 Genetic algorithm -- 8.2.2.2 Fuzzy-Based Image Segmentation -- 8.2.2.3 ANN-Based Image Segmentation -- 8.3 Traditional Machine Learning Methods to Deep Learning: An Advanced Approach for Medical Image Segmentation -- 8.4 Conclusion -- References -- 9: EEG Signal Processing and Its Classification for Rehabilitation Device Control -- 9.1 Introduction to EEG Signals -- 9.1.1 Human Brain -- 9.1.2 Electroencephalogram (EEG) -- 9.1.3 EEG Artifacts -- 9.2 Recording Methods -- 9.2.1 10-20 Electrode Placement System -- 9.3 EEG Signal Processing -- 9.3.1 Feature Extraction -- 9.4 Signal Classification Techniques Applied to EEG Signals -- 9.5 Design of Brain-Computer Interface Using EEG Signals for Rehabilitation Applications -- 9.6 Future Research Directions -- 9.7 Conclusion -- References -- 10: Computer-Aided Diagnosis of Epilepsy Using Bispectrum of EEG Signals -- 10.1 Introduction -- 10.2 Related Work -- 10.3 Database -- 10.4 Proposed Methodology -- 10.4.1 Higher-Order Spectra -- 10.4.2 Feature Extraction -- 10.4.3 Locality Sensitive Discriminant Analysis (LSDA) -- 10.4.4 Support Vector Machine -- 10.5 Results and Discussion -- 10.6 Conclusion -- References -- 11: Electroencephalogram: Expanded Applications in Clinical and Nonclinical Settings. 11.1 Introduction -- 11.1.1 Steps in EEG Signal Processing -- 11.1.2 EEG And Cognition: The Concept Development From Waves to Oscillations -- 11.2 Theoretical Considerations in Understanding Synchrony as a Communication Tool -- 11.2.1 The CTC Model -- 11.2.2 Information Flow in the Brain -- 11.2.3 Tools to Understand EEG Synchrony and Coherence -- 11.2.4 Predicting Cognition -- 11.3 All Frequencies and All the Evidence for Cognition -- 11.4 EEG as a Biomarker in Clinical Settings -- 11.5 EEG in Consumer Neurosciences -- 11.6 EEG in Understanding Meditation -- 11.7 Conclusion -- References -- 12: Computational Mechanisms for Exploiting Temporal Redundancies Supporting Multichannel EEG Compression -- 12.1 Introduction -- 12.1.1 MCEEG Compression Methods -- 12.1.2 Encoding Process -- 12.1.3 Decoding Process -- 12.1.4 Inferences from LSPC -- 12.2 MMSPC: Encoding Process -- 12.2.1 Decoding Process -- 12.2.2 Complexity Analysis -- 12.2.2.1 Memory Requirement Analysis -- Time Complexity -- 12.3 Conclusion -- References -- 13: An Adaptive Approach of Fused Feature Extraction for Emotion Recognition Using EEG Signals -- 13.1 Introduction -- 13.2 Related Research -- 13.3 Fused Feature Extraction-Based Emotion Recognition -- 13.3.1 Initial Data Preparation -- 13.3.2 Pre-processing -- 13.3.2.1 Signal Separation -- 13.3.2.2 Component Extraction -- 13.3.3 Fused Feature Extraction -- 13.3.3.1 Empirical Mode Decomposition (EMD) -- Algorithm 1: Fusion of EMD and KDE -- 13.3.3.2 Kernel Density Estimation (KDE) -- 13.3.4 Emotion Classification by SVM -- 13.4 Implementation and Simulation Results -- 13.4.1 Dataset Description and Simulation Setup -- 13.4.2 Results of the Proposed System -- 13.5 Conclusion -- References -- Part VI: Artificial Intelligence and Computer Aided Diagnosis -- 14: Computer-Aided Diagnosis of Life-Threatening Diseases -- 14.1 Introduction. 14.2 Breast Cancer Detection Using CAD. EBL202103 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5982459 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2756585 BOOK MIGRATED 2756578 SzGeCERN 20210421184152.0 9783030329105 electronic version electronic version 9783030329099 print version oai:cds.cern.ch:2756578 cerncds:BOOK EBL 5979249 eng GB3-5030 621.4838 Lersow, Michael Disposal of all forms of radioactive waste and residues long-term stable and safe storage in geotechnical environmental structures Cham Springer International Publishing AG 2019 449 p ebook EBL202103 XX SzGeCERN EBL Radioactive waste disposal BOOK Waggitt, Peter https://cds.cern.ch/auth.py?r=EBLIB_P_5979249 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2756578 BOOK MIGRATED 2756554 SzGeCERN 20210421184154.0 9783030335960 electronic version electronic version 9783030335953 print version oai:cds.cern.ch:2756554 cerncds:BOOK EBL 5978047 eng TA1-2040 004.678 Peng, Sheng-Lung Principles of Internet of Things (IoT) ecosystem Cham Springer International Publishing AG 2020 636 p ebook Intelligent systems reference library 174 Intro -- Preface -- About This Book -- Key Features -- Contents -- About the Editors -- IoT Foundation and Framework -- 1 Internet of Things: Foundation -- Abstract -- 1.1 Introduction -- 1.2 Background -- 1.3 Architectural Formation and Communication Models -- 1.3.1 Architecture Formation -- 1.3.2 Communication Models -- 1.4 IoT Key Elements, the 3C Concept-Advantages, Disadvantages -- 1.4.1 IoT Key Elements -- 1.4.2 The 3C IoT Concept -- 1.4.3 Advantages -- 1.4.4 Disadvantages -- 1.5 Internet of Things Technologies -- 1.5.1 RFID Technology -- 1.5.2 Wireless Sensor Network Transportation -- 1.5.3 Cloud Computing -- 1.5.4 Big Data -- 1.5.5 Middleware -- 1.5.6 IoT Application Software -- 1.6 Applications of IoT -- 1.6.1 Smart Society -- 1.6.2 Traffic Management -- 1.6.3 Link Data for Society -- 1.6.4 Urban Management -- 1.6.5 Road Quality Monitoring -- 1.6.6 Smart Cities -- 1.6.7 Healthcare -- 1.6.8 Retail and Logistics -- 1.6.9 Security and Emergency -- 1.6.10 Smart Agriculture and Smart Water Supply -- 1.6.11 Aviation and Aerospace -- 1.6.12 Environmental Monitoring -- 1.6.13 Media and Entertainment -- 1.6.14 Recycling -- 1.6.15 Transportation -- 1.6.16 Manufacturing -- 1.6.17 Pharmaceutical -- 1.6.18 Auto-motive -- 1.7 Testing Models of IoT -- 1.7.1 Testing Levels and Methods -- 1.7.2 Generic Testing Schemes -- 1.7.3 Testing the Internet of Things -- 1.7.4 IoT Test-Bed -- 1.8 IoT Frameworks -- 1.8.1 AVIoT -- 1.8.2 AllJon -- 1.8.3 Calvin Framework -- 1.8.4 Frasad -- 1.8.5 Eclipse Smart-Home (ESH) Framework -- 1.9 Security Issues in IoT -- 1.10 Internet of Things Simulators -- 1.11 Open Research Challenges -- References -- 2 A Framework of Learning and Communication with IoT-Enabled Ecosystem -- Abstract -- 2.1 Introduction -- 2.2 Intelligent Solution for Traffic: Prior Work -- 2.3 IoT Based Smart Traffic Management. 2.4 Implementation of IoT Drone Platform -- 2.5 Communication in IoT Ecosystem -- 2.5.1 Communication Stack for IoT Network -- 2.5.2 Binary View of Coverage and Services -- 2.6 IoT Integrated with AI -- 2.6.1 IoT Activation and Tagging -- 2.7 IoT and Environment -- 2.8 IoT in Extreme Communication -- 2.9 IoT Enabled Energy System: Set-up and Performance -- 2.9.1 Energy-Efficient Communication in IoT Network -- 2.10 Conclusion -- Acknowledgements -- References -- 3 Paradigms for Intelligent IOT Architecture -- Abstract -- 3.1 Introduction -- 3.1.1 Introduction to IOT Architecture -- 3.1.2 Conceptual Framework -- 3.2 Multi Layer IOT Architectures -- 3.3 Overview of Various IOT Architectures -- 3.3.1 Edge Computing Architecture and System Design -- 3.3.2 Generalized Cloud-Based Architecture -- 3.3.3 Fog-Based Architecture -- 3.3.4 Distributed Search Architecture Versus Cloud and Edge Computing Features -- 3.3.5 Fog Versus Cloud Based Architecture -- 3.4 IOT Deployment Using Fog -- 3.5 Ideal IOT Architecture for Smart Applications -- 3.5.1 Edge Layer -- 3.5.2 Fog Layer -- 3.5.3 Data Collection and Analysis Layer -- 3.5.4 Insight Layer -- 3.5.5 Central Cloud Layer -- 3.6 Intelligent Agent Based Computing -- 3.6.1 Agent Communication System -- 3.6.2 Agent Architecture -- 3.6.3 Multi-agent Systems -- 3.6.4 Design Principles of MAS -- 3.6.5 Multi-agent Learning Design Process -- 3.7 Agents and IOT -- 3.7.1 Agent Based IOT -- 3.7.2 Multi-agent Architecture for WSN -- 3.7.3 Agent Based Cloud Computing Architecture -- 3.7.4 Multi-agent Based Architecture for Flexible IOT-Edge Computing -- 3.8 Cloud-Fog Interoperable Architecture in Healthcare Application-Case Study -- 3.8.1 Benefits of Deploying a Fog Layer in Smart Health Care Systems -- 3.9 Conclusion -- References -- IoT Integration with Sensors and Cloud. 4 Semantics and Clustering Techniques for IoT Sensor Data Analysis: A Comprehensive Survey -- Abstract -- 4.1 Introduction -- 4.2 Related Work -- 4.3 Semantic Techniques -- 4.3.1 Ontology -- 4.3.2 RDF -- 4.3.3 RDF Schema -- 4.3.4 OWL -- 4.3.4.1 OWL Full -- 4.3.4.2 OWL DL -- 4.3.4.3 OWL Lite -- 4.3.5 Semantic Reasoning -- 4.3.6 SPARQL -- 4.3.7 Semantic Annotations -- 4.4 Clustering Approaches -- 4.4.1 Clustering Types -- 4.4.1.1 Distribution Based Mechanisms -- 4.4.1.2 Centroid-Based Mechanisms -- 4.4.1.3 Connectivity-Based Mechanisms -- 4.4.1.4 Density-Based Mechanisms -- 4.4.2 Incremental Clustering -- 4.4.3 CFS Clustering -- 4.5 Challenges and Research Directions -- 4.6 Conclusion and Future Work -- References -- 5 IoT Sensing Capabilities: Sensor Deployment and Node Discovery, Wearable Sensors, Wireless Body Area Network (WBAN), Data Acquisition -- Abstract -- 5.1 Introduction -- 5.1.1 IoT Technology Stack -- 5.2 IoT Technologies -- 5.3 Wireless Body Area Network (WBAN) in IoT Paradigm -- 5.3.1 History of Wearable Sensors -- 5.3.2 Wearable Sensors in Healthcare -- 5.3.2.1 Gyroscope and Accelerometer -- 5.3.2.2 Altimeter -- 5.3.2.3 Proximity Sensor -- 5.3.2.4 Physical Sensors -- 5.3.2.5 Optical Sensors -- 5.3.2.6 Temperature Sensors -- 5.3.2.7 Pressure Sensor -- 5.3.2.8 Force Sensors -- 5.3.2.9 Humidity Sensor -- 5.3.2.10 Piezoelectric Sensors -- 5.3.2.11 Wearable Electrodes -- 5.3.2.12 Biochemical Sensors -- 5.4 Wearable Wireless Sensor Networks -- 5.5 Global Wearable Sensors Market Share -- 5.5.1 Sensor Deployment Strategies -- 5.5.2 Design Issues in Deployment Strategies -- 5.5.3 Sensor Node Deployment Models -- 5.6 Data Acquisition and Localization in Sensor Networks -- 5.7 Open Research Issues and Challenges in IoT -- References -- 6 Role of Smart Sensors in Minimizing Food Deficit by Prediction of Shelf-Life in Agricultural Supply Chain. Abstract -- 6.1 Introduction -- 6.2 Related Work -- 6.3 IoT Sensors in Agricultural Food Production -- 6.3.1 Basic Wireless Sensor Design -- 6.3.2 Incorporation of Other Wireless Sensors Depending on Utilization -- 6.4 Major Phases in Food Supply Chain -- 6.4.1 Pre-harvest Environment -- 6.4.2 Post-harvest Phase -- 6.5 Smart Shelf-Life Predictions -- 6.5.1 Network Communication in Smart Agriculture -- 6.6 Other Technologies for Predicting Shelf-Life of Crop Production -- 6.7 Performance of IoT Agricultural Sensors in Preventing Food Wastage -- 6.8 Suggestions to Meet Future Demands in Agri-Conservation -- 6.9 Conclusions -- References -- 7 Sensor Information Processing for Wearable IoT Devices -- Abstract -- 7.1 Introduction -- 7.2 Spectrum of Wearable IoT Applications- Challenges and Opportunities -- 7.3 Architecturing Wearable IoT Devices -- 7.4 Conclusions and Future Directions -- References -- 8 Cyber-Physical Cloud Computing Systems and Internet of Everything -- Abstract -- 8.1 Introduction -- 8.1.1 Principle of Embedded Computing -- 8.1.2 Concept of Cyber-Physical Systems -- 8.1.3 Cyber-Physical Systems Applications -- 8.2 Internet of Things and Ubiquitous Computing -- 8.2.1 Smart Devices/Smart Cities -- 8.2.2 Big Data and Cyber Physical Systems -- 8.2.3 Cloud Computing and CPS -- 8.2.4 Artificial Intelligence and Smart Cities -- 8.3 Smart Manufacturing -- 8.3.1 Introduction -- 8.3.2 Industry 4.0 -- 8.3.3 Cyber Physical Systems Ecosystem -- 8.3.4 Industry 4.0 and Cyber Physical Systems: Sector-Wise Implications -- 8.4 Conclusion -- References -- 9 Towards Integration of Cloud Computing with Internet of Things -- Abstract -- 9.1 Introduction -- 9.2 Related Work -- 9.3 Internet of Things Model -- 9.3.1 Hierarchical Architecture -- 9.4 Cloud Computing Model -- 9.5 CloudIoT: Integrating Cloud with IoT -- 9.5.1 CloudIoT Applications. 9.6 CloudIoT Security Threats and Issues -- 9.6.1 Security Features and Goals -- 9.6.2 Security Vulnerabilities -- 9.6.2.1 IoT Issues and Limitations -- 9.6.2.2 Cloud Service Issues -- 9.7 Related Research on Security -- 9.7.1 Potential Defense Strategies -- 9.8 Platforms and Services -- 9.8.1 Available Platforms -- 9.8.2 Available Services -- 9.9 Integration Challenges and Open Issues -- 9.10 Discussion and Conclusion -- References -- IoT in Healthcare Paradigm -- 10 Application of IoT in Healthcare -- Abstract -- 10.1 Introduction -- 10.2 IoT in Healthcare-Benefits and Challenges -- 10.2.1 Benefits -- 10.2.2 Challenges -- 10.3 Different Application Areas of IoT in Healthcare -- 10.3.1 Dropping Emergency Room Waiting Time -- 10.3.2 Telehealth -- 10.3.3 Ensuring the Risk Management of Critical Hardware -- 10.3.4 Information Tracking -- 10.3.5 Improved Drug Usage -- 10.3.6 Devices -- 10.3.6.1 Hearables -- 10.3.6.2 Ingestible Sensors -- 10.3.6.3 Moodables -- 10.3.6.4 Drones -- 10.3.7 Healthcare Charting -- 10.3.8 Emergency Care -- 10.4 Related Technologies -- 10.4.1 Role of IoT and Cloud in Healthcare -- 10.4.2 Role of IoT and Grid Computing in Healthcare -- 10.4.3 Role of IoT and Big Data in Healthcare -- 10.4.4 Role of Augmented Reality and IoT in Healthcare -- 10.5 Future of IoT in Healthcare -- 10.6 Conclusion -- References -- 11 Research Perspectives on Applications of Internet-of-Things Technology in Healthcare WIBSN (Wearable and Implantable Body Sensor Network) -- Abstract -- 11.1 Introduction -- 11.2 Preliminary Studies -- 11.3 Learning and Evaluation of IoT Supported Parameters Such as Hardware and Cloud Platforms to Determine the Suitability for E-Health Care Services -- 11.4 Analysis of Existing IoT Based Wearable's Solutions for E-Healthcare -- 11.4.1 Cancer Treatment -- 11.4.2 Smart Continuous Glucose Monitoring (CGM) and Insulin Pens. 11.4.3 Ever Sense Diabetes. EBL202103 XX SzGeCERN BOOK Pal, Souvik Huang, Lianfen https://cds.cern.ch/auth.py?r=EBLIB_P_5978047 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2756554 BOOK MIGRATED 2756547 SzGeCERN 20210421184154.0 9783030213015 electronic version electronic version 9783030213008 print version oai:cds.cern.ch:2756547 cerncds:BOOK EBL 5977058 eng G1-922 511.343091632 Johannessen, Ola M Sea ice in the arctic past, present and future Cham Springer International Publishing AG 2019 579 p ebook Springer polar sciences Intro -- Foreword -- Contents -- Contributors -- Chapter 1: Introduction -- 1.1 Chapter 2: Sea Ice in the Arctic Paleoenvironments -- 1.2 Chapter 3: Marginal Ice Zone and Ice-Air-Ocean Interactions -- 1.3 Chapter 4: Changes in Arctic Sea Ice Cover in the Twentieth and Twenty-First Centuries -- 1.4 Chapter 5: Arctic Sea Ice Thickness and Volume Transformation -- 1.5 Chapter 6: SAR Sea Ice Type Classification and Drift Retrieval in the Arctic -- 1.6 Chapter 7: Sea Ice Drift in the Arctic -- 1.7 Chapter 8: Sea Ice Modelling -- 1.8 Chapter 9: Operational Forecasting of Sea Ice in the Arctic Using TOPAZ System -- 1.9 Chapter 10: Current and Projected Sea Ice in the Arctic in the Twenty-First Century -- 1.10 Chapter 11: Climate Change Impact on the Arctic Economy -- 1.11 Annex (Chap. 12): SAR Sea Ice Interpretation Guide -- 1.12 Afterword -- Chapter 2: Sea Ice in the Arctic Paleoenvironments -- 2.1 Arctic Paleoenvironments -- 2.2 Proxies for Reconstructing Sea Ice in the Arctic -- 2.2.1 Marine Records -- 2.2.2 Terrestrial Records -- 2.3 Arctic Sea Ice in the Geologic Past -- 2.3.1 Pre-quaternary Sea Ice -- 2.3.2 Quaternary Sea Ice -- 2.4 Arctic Sea Ice in the Holocene -- 2.4.1 North Atlantic Arctic -- 2.4.2 Northern Greenland -- 2.4.3 Canadian Arctic -- 2.5 Arctic Sea Ice in the Past Millennium -- 2.5.1 Russian Arctic Seas -- 2.5.2 Nordic Seas -- 2.5.2.1 Iceland -- 2.5.2.2 Greenland and Barents Seas -- 2.5.3 Greenland -- 2.5.4 Newfoundland and the Gulf of St. Lawrence -- 2.5.5 Canadian Arctic -- 2.5.6 Hudson Bay -- 2.6 Multidecadal Variability in Sea Ice -- 2.7 Summary -- References -- Chapter 3: Marginal Ice Zone and Ice-Air-Ocean Interactions -- 3.1 Marginal Ice Zone. A Brief Review -- 3.1.1 Introduction -- 3.1.2 Studies in MIZ -- 3.1.3 Ocean Fronts -- 3.1.4 Ice Edge-Ocean Eddies, Jets and Vortex Pairs -- 3.1.5 Ice Edge Upwelling. 3.1.6 Internal Waves in the MIZ -- 3.1.7 The Future of MIZ -- 3.1.8 Summary -- 3.2 Interaction of Sea-Ice with the Ocean and Atmosphere -- 3.2.1 The Role of Sea Ice in Coupling the Ocean and Atmosphere -- 3.2.2 Atmospheric Processes -- 3.2.2.1 Structure of the Atmospheric Boundary Layer -- 3.2.2.2 Clouds -- 3.2.2.3 Atmospheric Drag -- 3.2.2.4 Melt Ponds -- 3.2.2.5 Ice Rheology -- 3.2.2.6 Snow Cover -- 3.2.2.7 Impact on Large-Scale Flow -- 3.2.3 Ocean Processes -- 3.2.3.1 Ocean Heat Transport -- 3.2.3.2 Halocline -- 3.2.3.3 Leads -- 3.2.3.4 High-Shear Events -- 3.2.4 The Future of Ocean-Ice-Atmosphere Interaction -- 3.2.5 Summary -- References -- Chapter 4: Changes in Arctic Sea Ice Cover in the Twentieth and Twenty-First Centuries -- 4.1 Data Sets on Arctic Sea Ice -- 4.1.1 Satellite-Based Sea Ice Data Sets -- 4.1.1.1 Sea Ice from Satellite Passive Microwave Data -- 4.1.1.2 Multi-sensor Sea Ice Products -- 4.1.1.3 Sea Ice from Satellite Radar Data -- 4.1.1.4 Sea Ice Data from Optical and Infrared (IR) Satellite Sensors -- 4.1.2 Ice Charts from Different Sea Ice Services -- 4.1.2.1 Arctic and Antarctic Research Institute Sea Ice Charts -- 4.1.2.2 Canadian Ice Service Sea Ice Charts and Climatologies -- 4.1.2.3 National Ice Center Arctic Sea Ice Charts and Climatologies -- 4.1.2.4 Met.no sea Ice Charts -- 4.1.2.5 DMI Sea Ice Charts -- 4.1.2.6 Ice Chart WMO Standards -- 4.1.3 Historical Long Records of Sea Ice Parameters -- 4.1.3.1 ACSYS Historical Ice Chart Archive, 1553-2002 -- 4.1.3.2 March Through August Ice Edge Positions in the Nordic Seas, 1750-2002 Data Set -- 4.1.3.3 Arctic Sea Ice Charts from the Danish Meteorological Institute, 1893-1956 -- 4.1.3.4 Century-Long Zakharov Sea Ice Data Set -- 4.1.3.5 Walsh and Chapman Sea Ice Data Set -- 4.1.4 Sea Ice Data Sets for Climate Modelling. 4.1.4.1 Hadley Centre Global Sea Ice and Sea Surface Temperature Data Set -- 4.1.4.2 NOAA/NSIDC Climate Data Record (CDR) of Sea Ice Concentration -- 4.1.4.3 EUMETSAT OSI SAF Climate Data Record (CDR) of Sea Ice Concentration -- 4.1.4.4 ESA CCI Climate Data Records (CDRs) of Sea Ice Concentration -- 4.1.5 Summary -- 4.2 Sea Ice Transformation in the Twentieth Century and in the Beginning of Twenty-First -- 4.2.1 Description of Sea Ice Conditions in the Beginning of the Twentieth Century -- 4.2.2 Changes in the Arctic Sea Ice Since 1979 -- 4.2.2.1 Changes in the Area and Extent -- 4.2.2.2 Changes in the Multi-year Ice Area -- 4.2.2.3 Changes in the Age of Sea Ice -- 4.2.2.4 Changes in Fast Ice Cover -- 4.2.3 Summary -- Appendices -- Appendix 1 -- Appendix 2 -- References -- Chapter 5: Arctic Sea Ice Thickness and Volume Transformation -- 5.1 Techniques of Sea Ice Thickness Measurements -- 5.1.1 Drilling -- 5.1.2 Ship Video-Recording System -- 5.1.3 Ground Penetrating Radar -- 5.1.4 Upward Looking Sonars -- 5.1.5 Electromagnetic Induction Technique -- 5.1.6 Sea Ice Thickness Retrieval from IR Satellite Data -- 5.1.7 Thin Ice Thickness Retrieval from Satellite Passive Microwave Data -- 5.1.8 Satellite Laser Altimetry -- 5.1.9 Satellite Radar Altimetry -- 5.2 Historical Data Sets on Ice Thickness in the Arctic -- 5.2.1 Unified Sea Ice Thickness Climate Data Record Collection Spanning 1947-2012 -- 5.2.1.1 North Pole Environmental Observatory (NPEO) Data Set -- 5.2.1.2 Beaufort Gyre Exploration Project (BGEP) Data Set -- 5.2.1.3 Institute of Ocean Sciences: Eastern Beaufort Sea (IOS-EBS) Data Set -- 5.2.1.4 Institute of Ocean Sciences: Chukchi Sea (IOS-CHK) Data Set -- 5.2.1.5 US Navy Submarines: Analog (US-Subs-A) and Digital (US-Subs-D) Data Sets -- 5.2.1.6 UK Navy Submarines: Analog (UK-Subs-A) and Digital (UK-Subs-D) Data Sets. 5.2.1.7 Alfred Wegener Institute: Greenland Sea (AWI-GS) Data Set -- 5.2.1.8 Airborne Electromagnetic Induction (Air-EM) Data Set -- 5.2.1.9 NASA ICESat Mission: Goddard (ICESat1-G) Data Set -- 5.2.1.10 Bedford Institute of Oceanography: Lancaster Sound (BIO-LS) Data Set -- 5.2.1.11 Environment Canada (CanCoast) Data Set -- 5.2.1.12 Davis Strait (Davis_St) Data Set -- 5.2.1.13 NASA Operation IceBridge (IceBridge-V2) Data Set -- 5.2.1.14 NASA Operation IceBridge Quicklook (IceBridge-QL) Data Set -- 5.2.1.15 CryoSat 2 Radar Altimeter (CryoSat-AWI) Data Set -- 5.2.1.16 NASA Goddard ICESat-1 Southern Hemisphere (ICESat1-SH) Data Set -- 5.2.1.17 Alfred Wegener Institute: Weddell Sea (AWI-WS) Data Set -- 5.2.2 Ice Thickness Data from the Soviet Union Sever Expeditions, 1928-1989 -- 5.2.3 Data from Ice Mass Balance Buoys -- 5.2.4 Ice Thickness Data from Expeditions -- 5.2.5 Ice Thickness from CryoSat Satellite Observations -- 5.3 Sea Ice Thickness Distribution: Thermodynamic and Dynamic Processes -- 5.4 Sea Ice Thickness Distribution Before Satellite Era -- 5.4.1 Sea Ice Thickness in the Arctic in the First Half of the Twentieth Century -- 5.4.2 Sea Ice Thickness Global Distribution in the Second Half of the Twentieth Century -- 5.4.3 Sea Ice Thickness in the Eurasian Arctic Seas and Along the Northern Sea Route -- 5.4.4 Sea Ice Thickness in the Canadian Arctic and in the Northwest Passage -- 5.5 Changes of Sea Ice Thickness in the Arctic in the Last Decades of the Twentieth - Beginning of Twenty-First Centuries -- 5.5.1 Sea Ice Thickness Changes from Submarine Data -- 5.5.2 Sea Ice Thickness Changes from Ships, Moored ULS and Electromagnetic Measurements -- 5.5.3 Sea Ice Thickness Changes from ERS-1/2 and ENVISAT Satellite Radar Altimeters -- 5.5.4 Sea Ice Thickness Changes from ICESat Laser Altimeter. 5.5.5 Sea Ice Thickness Changes from IceBridge Observations -- 5.5.6 Sea Ice Thickness Changes from CryoSat Radar Altimeter -- 5.5.7 Changes in Fast Ice Thickness -- 5.5.8 Synthesis Section -- 5.6 Arctic Sea Ice Volume -- 5.6.1 Sea Ice Volume Modelling. PIOMAS Model -- 5.6.2 Sea Ice Volume Changes from PIOMAS Model -- 5.6.3 Estimates of the Sea Ice Volume Changes Based on Satellite Observations of the Ice Thickness -- 5.7 Summary -- References -- Chapter 6: SAR Sea Ice Type Classification and Drift Retrieval in the Arctic -- 6.1 Types of Sea Ice in the Arctic Ocean and Their Classification Using Satellite Data -- 6.2 Automatic Sea Ice Classification Using Satellite SAR Data -- 6.2.1 Review of Automatic Sea Ice Classification Algorithms Development -- 6.2.2 SAR Image Pre-processing -- 6.2.2.1 Calibration -- 6.2.2.2 Backscatter Coefficient Analysis -- 6.2.2.3 HH Angular Correction -- 6.2.2.4 HV Noise Correction -- 6.2.2.5 Texture Features -- 6.2.3 Neural Network Based Algorithms for Automatic Sea Ice Classification -- 6.2.3.1 Neural Networks -- 6.2.3.2 Neural Network Based Algorithms: Sea Ice Type Classification -- 6.2.3.3 Neural Network Based Algorithm: Sea Ice-Open Water Discrimination -- 6.2.4 Support Vector Machine Based Algorithms for Automatic Sea Ice Classification -- 6.2.4.1 Support Vector Machine -- 6.2.4.2 Support Vector Machine Based Algorithm: Sea Ice Type Classification -- 6.2.4.3 Support Vector Machine Based Algorithm: Sea Ice-Open Water Discrimination -- 6.2.5 Validation of Automatic Classification Algorithms -- 6.2.5.1 Neural Network Based Algorithm: Sea Ice Type Classification -- 6.2.5.2 Neural Network Based Algorithm: Sea Ice-Open Water Discrimination -- 6.3 Sea Ice Drift Retrieval from SAR -- 6.4 Summary -- References -- Chapter 7: Sea Ice Drift in the Arctic. 7.1 Contribution of Sea Ice Drift to the Spatial Distribution of Ice Cover. EBL202103 XX SzGeCERN BOOK Bobylev, Leonid P Shalina, Elena V Sandven, Stein https://cds.cern.ch/auth.py?r=EBLIB_P_5977058 ebook n 202111 202103 21 PUBLIC https://catalogue.library.cern/legacy/2756547 BOOK MIGRATED 2756286 SzGeCERN 20221020230504.0 DOI EDP Sciences 10.1051/epjconf/202024501005 oai:inspirehep.net:1831610 INSPIRE:HEP cerncds:FULLTEXT cerncds:CERN:FULLTEXT ForCDS cerncds:CERN http://old.inspirehep.net/oai2d oai:inspirehep.net:1831610 2021-03-16T14:37:30Z 2021-03-17T05:00:06Z marcxml Inspire 1831610 eng Karimeh, Wassef wassef.karimeh@cern.ch USJ, Beirut EDP Sciences Status and Future of the CMS Tracker DCS 2020 8 p EDP Sciences Detector Control Systems (DCS) for modern High-Energy Physics (HEP) experiments are based on complex distributed (and often redundant) hardware and software implementing real-time operational procedures meant to ensure that the detector is always in a safe state, thus maximizing the lifetime of the detector. Display, archival and often analysis of the environmental data are also part of the tasks assigned to DCS systems. The CMS Tracker Control System (TCS) is a resilient system that has been designed to safely operate the silicon tracking detector in the CMS experiment. It has been built on top of an industrial Supervisory Control and Data Acquisition (SCADA) software product WinCC OA extended with a framework developed at CERN, JCOP, along with CMS and Tracker specific components. The TCS is at present undergoing major architecture redesign which is critical to ensure efficient control of the detector and its future upgrades for the next fifteen years period. In this paper, we will present an overview of the Tracker DCS and the architecture of the software components as well as the associated deliverables. CC-BY-4.0 EDP Sciences https://creativecommons.org/licenses/by/4.0/ The Authors 2020 SzGeCERN Computing and Computers SzGeCERN Detectors and Experimental Techniques CERN ARTICLE Chammoun, Maroun USJ, Beirut Shvetsov, Ivan KIT, Karlsruhe Tsirou, Andromachi CERN Verdini, Piero Giorgio INFN, Pisa Pisa U. Pisa, Scuola Normale Superiore 1830716 01005 EPJ Web Conf. 245 C19-11-04 2020 2281991 977776 http://cds.cern.ch/record/2756286/files/10.1051_epjconf_202024501005.pdf Fulltext from publisher 2281991 113191 http://cds.cern.ch/record/2756286/files/10.1051_epjconf_202024501005.jpg?subformat=icon-700 icon-700 Fulltext from publisher 2281991 11710 http://cds.cern.ch/record/2756286/files/10.1051_epjconf_202024501005.gif?subformat=icon icon Fulltext from publisher 2281991 16104 http://cds.cern.ch/record/2756286/files/10.1051_epjconf_202024501005.jpg?subformat=icon-180 icon-180 Fulltext from publisher 13 2684706 01005 adelaide20191104 2780127 ARTICLE ConferencePaper DELETED 2755923 SzGeCERN 20210421184159.0 9783030341466 electronic version electronic version 9783030341459 print version oai:cds.cern.ch:2755923 cerncds:BOOK EBL 5967944 eng QA76.9.D3 .A383 2019 5.74 Guizzardi, Giancarlo Advances in conceptual modeling ER 2019 workshops FAIR, MREBA, EmpER, MoBiD, OntoCom, and ER Doctoral Symposium papers, Salvador, Brazil, November 4-7, 2019, proceedings Cham Springer International Publishing AG 2019 279 p ebook Lecture notes in computer science 11787 Intro -- Preface -- ER 2019 Conference Organization -- ER 2019 Workshop Organization -- ER 2019 Workshop Program Committee -- ER 2019 Doctoral Symposium Program Committee -- Contents -- Conceptual Modeling, Ontologies and Metadata Management for FAIR Data (FAIR) 2019 -- Towards a Core Ontology for Scientific Research Activities -- Abstract -- 1 Introduction -- 2 Background -- 3 The Core Ontology for Scientific Research Activities -- 4 Using the Core Ontology for Building an Environmental Research Ontology -- 5 Related Work -- 6 Conclusions -- Acknowledgements -- References -- Aligning DMBOK and Open Government with the FAIR Data Principles -- Abstract -- 1 Introduction -- 2 Essential Concepts -- 3 Data Management Principles -- 3.1 FAIR -- 3.2 DAMA DMBOK® -- 3.3 Open Government -- 3.4 Similarities Among Principles -- 4 The FADAM Proposal -- 5 Conclusions -- References -- Exploring Reproducibility and FAIR Principles in Data Science Using Ecological Niche Modeling as a Case Study -- 1 Introduction -- 2 A Conceptual Model for Reproducibility -- 3 A Framework for FAIR Computational Experiments -- 4 Case Study in ENM and Evaluation -- 5 Related Work -- 6 Conclusions -- References -- Conceptual Modeling in Requirements Engineering and Business Analysis (MREBA) 2019 -- Realizing Traceability from the Business Model to Enterprise Architecture -- 1 Introduction -- 2 Value Modelling, Goal Modelling and Enterprise Architecture Modelling -- 3 Application: Cirque du Soleil -- 3.1 The Example -- 3.2 Goal Model, Business Model and EA Model -- 3.3 Observations -- 4 Discussion and Future Work -- References -- Creation of Multiple Conceptual Models from User Stories - A Natural Language Processing Approach -- Abstract -- 1 Introduction -- 2 Research Goal -- 3 Proposed Solution -- 4 Solution Design -- 5 Proof of Concept -- 6 Conclusion -- References. Towards a Catalog of Goals for Strategic Coopetition -- Abstract -- 1 Introduction -- 2 Goal Catalogs: Compilation and Content -- 3 Empirical Case: Market of Data Science Professional Development Programs -- 4 Related Work -- 5 Conclusion and Future Work -- References -- Early Identification of Potential Distributed Ledger Technology Business Cases Using e3value Models -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Requirements for Sustainable DLT Business Cases -- 2.2 Value-Based Requirements Engineering -- 3 e3value Modeling of Potential DLT Business Cases -- 4 Discussion -- 5 Conclusion -- References -- Empirical Methods in Conceptual Modeling (EmpER) 2019 -- Exploiting Conceptual Modeling for Searching Genomic Metadata: A Quantitative and Qualitative Empirical Study -- 1 Introduction -- 2 Genomic Conceptual Model: Original and Simplified -- 3 Experiment Description -- 4 Results -- 5 Conclusions -- References -- What Are Real JSON Schemas Like? -- 1 Introduction -- 2 Methodology -- 2.1 Context Description -- 2.2 Research Questions -- 2.3 Analysis Process -- 3 Detailed Study Results -- 3.1 RQ1: How Large Are Real-World JSON Schema Documents? -- 3.2 RQ2: What Is the Distribution of Types? -- 3.3 RQ3: Are Schema Declarations Schema-Full or Schema-Mixed? -- 3.4 RQ4: How Common Is Recursion? -- 3.5 RQ5: Do Schemas Impose Maximum Nesting Depths? -- 4 Discussion -- 5 Threats to Validity -- 6 Related Work -- 7 Conclusion -- References -- Getting to Win-Win in Inter-organizational Relationships Through Customer Segmentation -- Abstract -- 1 Introduction -- 2 Empirical Study: Startups in the Market of Data Science Professional Development -- 3 Research Methodology and Modeling Approach -- 3.1 Research Methodology: Action Research -- 3.2 Modeling Approach: Combining i* and Payoff Matrices -- 4 Conceptual Modeling of Data Science Instruction Startups. 5 Related Work -- 6 Conclusion and Future Work -- References -- Modeling and Management of Big Data (MoBiD) 2019 -- Facilitating Data Exploration in Industry 4.0 -- 1 Introduction -- 2 Related Work -- 3 Overview -- 4 Sensors Modeling -- 5 The Semantic-Based Query System -- 5.1 Insert Data -- 5.2 Query Data -- 5.3 Visualization of Results -- 6 Conclusion -- References -- Towards Understanding Aggressive Behavior in Residential Care Facilities Using Process Mining -- 1 Introduction -- 2 Process Mining in Healthcare -- 3 Methodology -- 3.1 Data Extraction and Overview -- 3.2 Event Log Creation -- 3.3 Data Cleaning and Filtering -- 3.4 Pattern Discovery -- 4 Results -- 4.1 Mixed Behavior -- 4.2 Homogeneous Behavior -- 5 Discussion -- 6 Conclusion -- References -- On Complex Value Relations in Hive -- 1 Introduction -- 2 Preliminaries -- 3 Methodology -- 3.1 Context Description -- 3.2 Research Questions -- 3.3 Analysis Process -- 4 Detailed Study Results -- 4.1 RQ: How Common Are Complex Value Relations in Hive Schemas? -- 4.2 RQ: What Is the Usage of Query Operators over Complex Types? -- 5 Discussion -- 6 Threats to Validity -- 7 Related Work -- 8 Conclusion and Future Work -- References -- Data Capture and Analyses from Conversational Devices in the Homes of the Elderly -- Abstract -- 1 Introduction -- 2 Background and Prior Work -- 2.1 The Design and Use of Technology for and by the Elderly -- 2.2 Conversational Agents at Home -- 3 Research Approach -- 3.1 Research Setting -- 3.2 Subjects and Procedure -- 3.3 Data Scraping and Analyses -- 4 Findings -- 4.1 Sustained Use and Intensity of Use -- 4.2 Commands: Some Understood, Others Not So -- 4.3 Commands, Not Interactions (or Conversations) -- 4.4 Characterizing Conversations and Commands -- 5 Discussion and Concluding Remarks -- Acknowledgements -- References. Ontologies and Conceptual Modelling (OntoCom) 2019 -- GORO 2.0: Evolving an Ontology for Goal-Oriented Requirements Engineering -- 1 Introduction -- 2 GORE Modeling Languages -- 3 Method -- 4 GORO 2.0 -- 5 Related Works -- 6 Conclusions -- References -- Using Ontologies for Comparing Modeling Techniques: Experience Report -- Abstract -- 1 Motivation -- 2 Knowledge Base -- 2.1 Fractal Enterprise Model -- 2.2 IDEF0 -- 2.3 Comparing Ontologies -- 3 Simplified Ontologies for FEM and IDEF0 -- 3.1 Ontology for FEM -- 3.2 Ontology for IDEF0 -- 4 Comparing FEM and IDEF0 -- 5 Lessons Learned and Plans for the Future -- References -- Domain Ontology for Digital Marketplaces -- Abstract -- 1 Introduction -- 2 Methodology -- 3 Background -- 4 Marketplace Domain Ontology -- 4.1 Marketplace Offering Sub-ontology -- 4.2 Marketplace Negotiation Sub-ontology -- 4.3 Marketplace Delivery Sub-ontology -- 5 Conclusion -- References -- Exploring Semantics in Clinical Data Interoperability -- 1 Introduction -- 2 Related Work -- 3 Combining Mediators to Semantic Processing for Clinical Data Interoperability -- 4 Adding Semantic Linkage -- 5 Case Study -- 6 Discussion -- 7 Conclusions and Ongoing Work -- References -- ER 2019 Doctoral Symposium -- Framework for Construction and Incremental Maintenance of High-Quality Linked Data Mashup -- 1 Introduction -- 2 Specification of Linked Data Mashup -- 3 Linked Data Mashup Quality Assessment -- 4 Materialization of Linked Data Mashup -- 5 Incremental Maintenance of Linked Data Mashup -- 6 Related Work -- 7 Conclusion -- References -- A Reference Architecture for Customizable Marketplaces -- 1 Motivation and Research Question -- 2 Definitions of the Sharing Economy and Marketplaces -- 3 Research Methodology -- 4 Marketplace Domain Ontology and Marketplace Properties -- 5 Conceptual Data Model -- 6 Software Architecture and SRA. 7 Conclusion -- References -- Keyword Search Algorithm over Large RDF Datasets -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 RDF Keyword-Based Queries -- 3.2 Set Similarity Measures and KMV-Synopses -- 4 Research Methodology -- 5 Proposed Solution -- 5.1 Current Status -- 5.2 Open Issues and Roadmap -- References -- Representing the Filter Bubble: Towards a Model to Diversification in News -- 1 Introduction -- 2 Related Work -- 3 The Point of View Diversification Model -- 4 Current Work -- 5 Conclusion -- References -- The OntoOO-Method: An Ontology-Driven Conceptual Modeling Approach for Evolving the OO-Method -- 1 Introduction -- 2 Research Problem -- 3 Research Methodology and Approach -- 4 State of the Art -- 5 Proposed Solution and Preliminary Results -- 6 Conclusions -- References -- Stochastic Models to Improve E-News Recommender Systems -- 1 Introduction -- 2 Proposed Classes of Stochastic Models -- 2.1 Memoryless Models -- 2.2 Short-Term Memory Models -- 2.3 Revealed Preference Models -- 2.4 Cumulative Advantage Models -- 2.5 Geometric Sojourn Models -- 2.6 Baseline Model -- 2.7 First Results -- 3 Discussion -- References -- Author Index. EBL202103 XX SzGeCERN BOOK Gailly, Frederik Suzana Pitangueira Maciel, Rita https://cds.cern.ch/auth.py?r=EBLIB_P_5967944 ebook n 202110 202103 21 PUBLIC https://catalogue.library.cern/legacy/2755923 BOOK MIGRATED 2755921 SzGeCERN 20210421184200.0 9783030337490 electronic version electronic version 9783030337483 print version oai:cds.cern.ch:2755921 cerncds:BOOK EBL 5967939 eng QA76.9.S63 .A383 2019 6.3 Martínez-Villaseñor, Lourdes Advances in soft computing 18th Mexican international conference on artificial intelligence, MICAI 2019, Xalapa, Mexico, October 27 - november 2, 2019, proceedings Cham Springer International Publishing AG 2019 764 p ebook Lecture notes in computer science 11835 Intro -- Preface -- Organization -- Contents -- Machine Learning -- Road Damage Detection Acquisition System Based on Deep Neural Networks for Physical Asset Management -- Abstract -- 1 Introduction -- 2 Motivation -- 3 Related Works -- 4 Proposed Solution -- 4.1 Utilized Dataset -- 4.2 Training -- 5 Results and Discussion -- 6 Conclusions and Future Work -- Acknowledgements -- References -- Implementation of Algorithm Recommendation Models for Timetabling Instances -- 1 Introduction -- 2 The Curriculum-Based Course Timetabling Problem -- 2.1 Timetabling Data Format -- 3 Algorithm Selection Problem -- 3.1 ASP Framework for the CB-CTT Problem -- 4 Definition of the Algorithm Space -- 5 Performance Analysis of the Algorithm Space -- 6 Selection Mechanisms -- 6.1 Discussion of Selection Mechanisms -- 7 Results -- 8 Conclusions -- References -- Statistical Approach in Data Filtering for Prediction Vessel Movements Through Time and Estimation Route Using Historical AIS Data -- 1 Introduction -- 2 Data Analysis and Preliminary Experiments -- 2.1 Statistic Analysis -- 2.2 Data Adjust -- 3 Experiments -- 3.1 Route Selection by Clustering -- 3.2 Using an Artificial Neural Network -- 3.3 Using Multivariate Imputation by Chained Equations -- 4 Results -- 5 Conclusions and Future Work -- References -- Lexical Intent Recognition in Urdu Queries Using Deep Neural Networks -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Convolutional Neural Network (CNN) Based Intent Classifier -- 3.2 Long Short Term Memory (LSTM) Based Intent Classifier -- 3.3 Bi-directional Long Short Term Memory (BLSTM) Based Intent Classifier -- 3.4 C-Long Short Term Memory (CLSTM) Based Intent Classifier -- 4 Datasets -- 4.1 ATIS Corpus -- 4.2 AOL Web Query Corpus -- 5 Experimental Set up -- 5.1 Model Hyper Parameters and Training -- 5.2 Regularization. 5.3 Model Evaluation -- 6 Results and Discussion -- 7 Conclusion -- References -- A Simple but Powerful Word Polarity Classification Model -- 1 Introduction -- 2 Related Work -- 3 Lexicon Creation -- 3.1 Creating Seed Words Sets -- 3.2 Polarity Scale and Interpretation of T as a Graph for the Assignment of Polarity Values -- 3.3 Depth Levels in Polarity Calculations -- 4 Results -- 5 Conclusions and Future Work -- References -- Mineral Classification Using Machine Learning and Images of Microscopic Rock Thin Section -- 1 Introduction -- 2 Methodology -- 2.1 Gather -- 2.2 Segment -- 2.3 Extraction -- 2.4 Classify -- 3 Related Work -- 4 Conclusion -- References -- Lexical Function Identification Using Word Embeddings and Deep Learning -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Data and Method -- 4 Results and Discussion -- 5 Conclusions and Future Work -- Acknowledgements -- References -- A Deep Learning Approach for Hybrid Hand Gesture Recognition -- 1 Introduction -- 2 Related Work -- 2.1 Static Hand Gesture Recognition -- 2.2 Dynamic Hand Gesture Recognition -- 3 Our Approach for Hybrid Hand Gesture Recognition -- 3.1 Data Acquisition with Leap Motion Controller -- 3.2 Data Preprocessing -- 3.3 Deep Learning Architecture -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Experimental Results and Discussion -- 5 Conclusions and Future Work -- References -- Feed Forward Classification Neural Network for Prediction of Human Affective States Using Continuous Multi Sensory Data Acquisition -- 1 Introduction -- 2 Continuous Multi Sensory Data Acquisition -- 2.1 Units for Environmental, Activity and Affective State Variables -- 3 Feed Forward Classification Neural Network -- 3.1 Neural Network Architecture -- 3.2 Model Training -- 3.3 Experimentation and Results -- 4 Conclusions and Future Work -- References. Advanced Transfer Learning Approach for Improving Spanish Sentiment Analysis -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Word Representations and Language Modelling -- 3.2 Sentiment Analysis Using Deep Learning -- 4 Methodology -- 5 Experiments -- 5.1 Technical Resources -- 5.2 Datasets -- 5.3 Pre-processing -- 5.4 Architecture -- 5.5 Hyperparameters -- 5.6 Results -- 6 Conclusions -- 7 Future Work -- References -- AE-CharCNN: Char-Level Convolutional Neural Networks for Aspect-Based Sentiment Analysis -- 1 Introduction -- 2 Sentiment Analysis -- 2.1 Opinion Definition -- 3 Related Works -- 4 Proposed Approach -- 5 Experiments and Results -- 5.1 Corpus - TripAdvisor's Reviews About Porto Alegre Accommodation Services -- 5.2 Baselines -- 5.3 Results -- 6 Conclusion and Further Works -- References -- Understanding the Criminal Behavior in Mexico City through an Explainable Artificial Intelligence Model -- 1 Introduction -- 2 Previous Work -- 2.1 Main Factors for Perpetrating Crimes -- 2.2 Machine Learning for Forecasting Crime Behavior -- 2.3 Explainable Artificial Intelligence Approach -- 3 Our Proposal -- 3.1 Feature Representation -- 3.2 Contrast Pattern-Based Classification -- 4 Experimental Results -- 4.1 Experimental Setup -- 4.2 Results and Discussion -- 5 Conclusions and Future Work -- References -- Improving Hyper-heuristic Performance for Job Shop Scheduling Problems Using Neural Networks -- 1 Introduction -- 2 Background and Related Work -- 2.1 Instance Features -- 2.2 Heuristics -- 2.3 JSSP Instances -- 3 Solution Model -- 4 Experiments -- 4.1 Improving Hyper-heuristics Through Neural Networks: A Preliminary Approach -- 4.2 Extended Heuristic Rules -- 4.3 Confirmatory Experiments with Extended Heuristic Rules -- 4.4 Analysis of the Hyper-heuristics -- 5 Conclusion -- References. Early Anomalous Vehicular Traffic Detection Through Spectral Techniques and Unsupervised Learning Models -- 1 Introduction -- 2 Related Work -- 3 Anomalies Detection -- 3.1 Problem -- 3.2 Unsupervised Anomaly Detection Algorithms -- 4 Proposed Methodology -- 4.1 Methodology Overview -- 4.2 Imputation Method -- 4.3 Feature Engineering -- 4.4 Feature Selection -- 5 Experiments -- 5.1 Database -- 5.2 Experiment Setup -- 5.3 Results -- 5.4 Time and Features Analysis -- 5.5 Models Analysis -- 6 Conclusions -- References -- ADSOA - Fault Detection and Recovery Technology Based on Collective Intelligence -- Abstract -- 1 Introduction and Motivation -- 2 Related Work -- 3 Autonomous Decentralized Service Oriented Architecture -- 3.1 ADSOA Concept -- 3.2 Loosely Coupling Synchronization and Transactional Delivery Technology -- 4 Fault Detection and Recovery Technology Based on Collective Intelligence -- 5 Prototype -- 6 Conclusion and Future Work -- References -- Gentrification Prediction Using Machine Learning -- 1 Introduction -- 1.1 Gentrification -- 1.2 Gentrification in Mexico City -- 1.3 Machine Learning and Gentrification -- 2 Methodology -- 2.1 Data Sources -- 2.2 Data -- 2.3 Data Processing -- 2.4 Exploratory Analysis -- 3 Algorithm Description -- 3.1 Random Forest Classifier -- 3.2 Model Evaluation -- 4 Results -- 5 Conclusions and Future Work -- References -- Pulsed Neural Network Plus Parallel Multi-core Approach to Solve Efficiently Big Shortest Path Problems -- Abstract -- 1 Introduction - Motivation -- 2 Pulsed Neural Nets for Big Shortest Path Problems -- 2.1 Pulse-Coupled Artificial Neural Networks -- 2.2 Contribution: Proposed Pulsed Neural Network Approach -- 3 Parallelization with OpenMP for Speeding up -- 4 Experiments, Results and Discussion -- 5 Conclusions and Future Work -- References. Prediction of Student Attrition Using Machine Learning -- 1 Introduction -- 2 Background and Previous Work -- 3 Data Analysis -- 4 Modelling Student Attrition -- 4.1 Preprocessing -- 4.2 Principal Component Analysis -- 4.3 Logistic Regression with Cross Validation -- 4.4 Gradient Boosting -- 5 Evaluation -- 6 Conclusion and Future Work -- References -- Optimization of Modular Neural Networks for Pattern Recognition with Parallel Genetic Algorithms -- 1 Introduction -- 2 Modular Neural Networks -- 2.1 Supervised Learning -- 2.2 Genetic Algorithms for Optimization -- 3 Modular Neural Network Architecture -- 3.1 Database of Face Recognition -- 3.2 Parameters Used in the Genetic Algorithm -- 4 Master Slave Topology -- 5 Simulation Results -- 6 Comparison of Results -- 7 Conclusions -- References -- Optimization and Planning -- A Scaled Gradient Projection Method for Minimization over the Stiefel Manifold -- 1 Introduction -- 2 First-Order Optimality Conditions -- 3 Optimization Method -- 3.1 Step-Size Selection Rules -- 3.2 The Algorithm -- 4 Numerical Experiments -- 4.1 Linear Eigenvalue Problem -- 4.2 Sparse Principal Component Analysis -- 5 Conclusions -- References -- Local Sensitive Hashing for Proximity Searching -- 1 Introduction -- 2 Related Work -- 2.1 Permutation-Based Algorithm -- 2.2 Locality-Sensitive Hashing -- 3 Proposed Algorithm -- 3.1 Building the Index -- 3.2 Locality Sensitive Hashing of Permutations Using Bits -- 4 Results and Discussion -- 4.1 Colors Database -- 4.2 NASA Database -- 5 Conclusions and Future Work -- References -- Parallel Task Graphs Scheduling Based on the Internal Structure -- 1 Introduction -- 2 Basic Concepts -- 3 Related Works -- 4 Justification of the Analysis of the Internal Structure Of DAG Tasks -- 5 UMDA Algorithm -- 6 Developed Method -- 7 Utilized Resources -- 7.1 Algorithm Steps -- 8 Experiments. 9 Discussion of Results. EBL202103 XX SzGeCERN BOOK Batyrshin, Ildar Marín-Hernández, Antonio https://cds.cern.ch/auth.py?r=EBLIB_P_5967939 ebook n 202110 202103 21 PUBLIC https://catalogue.library.cern/legacy/2755921 BOOK MIGRATED 2755917 SzGeCERN 20210421184200.0 9783030254056 electronic version electronic version 9783030254049 print version oai:cds.cern.ch:2755917 cerncds:BOOK EBL 5967889 eng HF4999.2-6182 658.4034019 White, Leroy Behavioral operational research a capabilities approach Cham Springer International Publishing AG 2019 392 p ebook Intro -- Foreword -- Preface -- Acknowledgements -- Contents -- Notes on Contributors -- List of Figures -- List of Tables -- Part I Competences Within Models -- 1 Behavioral Operations and Behavioral Operational Research: Similarities and Differences in Competences and Capabilities -- 1.1 Introduction -- 1.2 Behavioral Operations Management: A Short Literature Review -- 1.2.1 The Focus of BOM Research -- 1.2.2 The BOM Focus on Operational Contexts -- 1.3 Behavioral Operational Research: A Short Literature Review -- 1.3.1 The Focus of BOR Research Practices -- 1.4 A Comparative Summary of BOM and BOR -- 1.5 Comparative Examples of BOM and BOR Research Practices -- 1.5.1 BOM Competences in Practice (Moritz et al. 2013) -- 1.5.2 BOR Competences in Practice (Torres et al. 2017) -- 1.6 Different Competences for BOR and BOM -- 1.7 Conclusions: Toward an Enhancement of BOR using BOM -- References -- 2 Behavioral Implications of Demand Perception in Inventory Management -- 2.1 Introduction -- 2.2 Perception of Uncertainty in the Newsvendor Setting -- 2.3 Impact of Changes in Demand Characteristics -- 2.3.1 Changes in Demand Variability -- 2.3.2 Changes in Demand Size -- 2.4 Aligning the Perceived and True Demand -- 2.5 Conclusions -- References -- 3 Behavioral Operational Research in Portfolio Selection -- 3.1 Introduction -- 3.2 Effect of Behavior on Portfolio Selection -- 3.2.1 Elemental Effects -- 3.2.1.1 Behavioral Biases -- 3.2.1.2 Risk -- 3.2.1.3 Expected Return -- 3.2.2 Structural Effects -- 3.2.2.1 Prescription Effect -- 3.2.2.2 Mental Accounting Effect -- 3.3 Behavioral Portfolio Models -- 3.3.1 Models for Elemental Effects -- 3.3.1.1 Models for Behavioral Biases -- 3.3.1.2 Models for Risk -- 3.3.1.3 Models for Expected Return -- 3.3.2 Models for Structural Effects -- 3.3.2.1 Models for Prescription Effect. 3.3.2.2 Models for Mental Accounting Effect -- 3.3.3 Concluding Remarks -- References -- 4 Feedback, Information Representation and Bidder Behavior in Electronic Auctions -- 4.1 Introduction -- 4.2 Electronic Reverse Auctions (ERAs) -- 4.3 Feedback Types -- 4.3.1 The Amount of Feedback -- 4.3.2 The Context of Feedback -- 4.3.3 The Framing of Feedback -- 4.4 Research Model of the Experiment -- 4.4.1 Study A -- 4.4.2 Study B -- 4.4.3 Results -- 4.5 Discussion -- References -- Part II Competences Beyond Models -- 5 Probability and Beyond: Including Uncertainties in Decision Analysis -- 5.1 Introduction -- 5.2 Behavioral Limitations in Probability Assessment and Use in Decision Aiding -- 5.3 Partial Compensation in a Conventional Framework -- 5.4 Non-quantitative Scenario Planning Responses and Absorption into OR -- 5.5 Robustness to Scenarios and Antifragility -- 5.6 Scenarios as a Dimension of Preference -- 5.7 Conclusions -- References -- 6 How to Use Ambiguity in Problem Framing for Enabling Divergent Thinking: Integrating Problem Structuring Methods and Concept-Knowledge Theory -- 6.1 Introduction -- 6.2 Integrating Problem Structuring Methods and Concept-Knowledge Theory -- 6.2.1 Case Studies Description -- 6.2.2 Fuzzy Cognitive Maps -- 6.2.3 Ambiguity Analysis -- 6.2.4 C-K Theory and the Shared Concern -- 6.2.5 Integrated Model Development -- 6.3 Discussion and Conclusion -- References -- 7 Insights from an Initial Exploration of Cognitive Biases in Spatial Decisions -- 7.1 Introduction -- 7.2 Literature Survey Method and Research Questions -- 7.3 Meta-Analysis of the Literature -- 7.3.1 How Do Modelers in Spatial Environmental Decision-Making Choose the MCDA Method to Be Integrated with GIS?. 7.3.2 Are Decision Models in GIS-MCDA Studies Balanced or Unbalanced in Terms of Criteria Structures and What Are the Associated Implications on Human Judgment? -- 7.3.3 How Are the Final Maps Resulting from the Spatial Decision-Making Process Presented with Reference to the Class Break Choice and What Are the Associated Implications for Human Judgment? -- 7.4 Conclusions: Preliminary Guidelines -- References -- 8 Modeling Human Behaviors in Project Management: Insights from the Literature Review -- 8.1 Introduction -- 8.2 Review Methodology -- 8.2.1 Review Stages -- 8.2.2 Data Analysis -- 8.3 Qualitative Insights -- 8.3.1 What to Model: The Behavioral Issues and Their Psychological Determinants -- 8.3.1.1 Individual's Behavioral Biases During Project Implementation -- 8.3.1.2 Multiple Stakeholders' Perspectives -- 8.3.1.3 Behavioral Aspects in Multiple Projects -- 8.3.2 How Behaviors Are Modeled: The Application of BOR in Project Management -- 8.3.2.1 Problem Structuring Methods -- 8.3.2.2 System Dynamics Modeling -- 8.3.2.3 Other Methods -- 8.4 Discussion -- 8.4.1 Diversity vs. Integration Regarding the Research Themes -- 8.4.2 Evolution of Both BOR and Project Management Methods -- 8.4.3 Development of Behavioral Decision-Making Capabilities -- 8.5 Conclusion -- References -- 9 Exploring the Machinery for Calibrating Optimism and Realism in Transformation Programs: A Practical Toolkit -- 9.1 Introduction -- 9.2 The Trouble with Optimism -- 9.3 Calibrating Optimism and Realism -- 9.4 Organizational Transformation as Machinery -- 9.5 A Practical Toolkit: Building the Machinery of Transformation -- 9.5.1 Build a Vision Machine -- 9.5.2 Build a Listening Machine -- 9.5.3 Build a Curiosity Machine -- 9.5.4 Build a Learning Machine -- 9.5.5 Build a Motivating Machine -- 9.6 Summary -- 9.7 Conclusions and Cautionary Tales -- References. Part III Capabilities Within Models -- 10 The Importance of Human Behavior in Practice: Insights from the Modeling Cycle -- 10.1 Introduction-The Importance of Understanding Behavior -- 10.2 The Problem Situation-Determining if and How Behavior Might Be Relevant {1, 2} -- 10.3 Conceptual Modeling -- 10.3.1 Generating Shared Understanding {1, 2, 3} -- 10.3.2 Translation-From Real World to In-Silico -- 10.3.3 The Formal Model-Incorporating Behavior in Models {5} -- 10.4 Solution Generation -- 10.4.1 Interpreting Model Outputs {2, 3} -- 10.5 Implementation-Helping Decision Makers Change Behavior {2, 4} -- 10.6 Conclusion -- References -- 11 Developing Problem Structuring Capability: A Practice-Based View -- 11.1 Introduction -- 11.2 Background to Practice-Based Theorizing -- 11.3 Case Study: Development of Problem Structuring Capability -- 11.3.1 Modeling with Differentiated Multi-stakeholder Competences -- 11.3.2 Modeling for Shared Meanings with Boundary Critique and Legitimacy Struggles -- 11.3.3 Modeling to Experiment, Innovate and Creatively Develop New Socio-Material Constellations -- 11.4 Discussion: The Behavioral Efficacy of PSIs -- 11.5 Conclusion -- References -- 12 Stakeholder Behavior in Operational Research: Connecting the Why, Who, and How of Stakeholder Involvement -- 12.1 Introduction -- 12.2 Motives for Involving Stakeholders -- 12.2.1 Improving Decision Quality -- 12.2.2 Building Consensus -- 12.2.3 Improving Relationships -- 12.2.4 The Intrinsic Value of Involving Stakeholders -- 12.3 Which Stakeholders to Involve? -- 12.3.1 Improving Decision Quality -- 12.3.2 Building Consensus -- 12.3.3 Improving Relationships -- 12.3.4 The Intrinsic Value of Involving Stakeholders -- 12.4 How to Involve Stakeholders in Behavioral Operational Research? -- 12.4.1 Improving Decision Quality -- 12.4.2 Building Consensus. 12.4.3 Improving Relationships -- 12.4.4 The Intrinsic Value of Involving Stakeholders -- 12.5 Conclusion -- References -- 13 Lessons Learned: Acquiring Insights from Non-Operational Research Perspectives -- 13.1 Introduction -- 13.2 Theoretical Background -- 13.3 Method -- 13.4 Findings and Discussion -- 13.5 Conclusion -- Appendix A -- References -- 14 The Merits of Transparent Models -- 14.1 Introduction -- 14.2 A Definition of Model Transparency -- 14.2.1 Understanding Models -- 14.2.2 Learning and Teaching Models -- 14.3 How the Lack of Model Transparency Can Hurt -- 14.4 How Model Transparency Can Help -- 14.4.1 Keys to the White House -- 14.4.2 Prioritizing Treatment in Emergencies -- 14.5 Summary and Connections to Other Chapters -- References -- Part IV Capabilities Beyond Models -- 15 Achieving a Balance Between Behavioral Theory and Behavioral Practice in Transformation Projects -- 15.1 Introduction -- 15.2 The Central Design Model -- 15.3 The Three-Level Transformation Model -- 15.4 The Tensions -- 15.5 Boundary Objects -- 15.6 Case Study: Compaction of the PSTN Network -- 15.7 Discussion -- References -- 16 Conjoined Capability, Collective Behavior and Collaborative Action: What's the Connection? -- 16.1 Introduction -- 16.2 Background -- 16.2.1 Conjoined Capability -- 16.2.2 Collaborative Action -- 16.2.3 Social Networks, Social Embeddedness, Collaborative Action and Group Decision Making -- 16.3 The Research -- 16.4 The Approach -- 16.5 Findings -- 16.6 Discussion and Conclusion -- References -- 17 Behavioral Aspects of the New General Data Protection Regulation: A Consumer-Centric Approach to Operations -- 17.1 Introduction -- 17.2 Personal Data and Data-Driven Business Models -- 17.3 The Context of GDPR -- 17.4 GDPR and Business Model Innovation -- 17.5 Human Behavior, Heuristics, and Biases -- 17.6 GDPR and Human Behavior. 17.7 Conclusion. EBL202103 XX SzGeCERN BOOK Kunc, Martin Burger, Katharina Malpass, Jonathan https://cds.cern.ch/auth.py?r=EBLIB_P_5967889 ebook n 202110 202103 21 PUBLIC https://catalogue.library.cern/legacy/2755917 BOOK MIGRATED 2755916 SzGeCERN 20210421184200.0 9789811384066 electronic version electronic version 9789811384059 print version oai:cds.cern.ch:2755916 cerncds:BOOK EBL 5967879 eng TA1-2040 004 Somani, Arun K Smart systems and IoT proceeding of SSIC 2019 Singapore Springer Singapore Pte Limited 2019 851 p ebook Smart innovation, systems and technologies 141 Intro -- Contents -- About the Editors -- 1 Statistical Image Processing for Enhanced Scientific Analysis -- 1.1 Introduction -- 1.2 Methodology -- 1.3 Results and Analysis -- 1.4 Conclusion -- References -- 2 Performance Analysis of Network with Different Queuing Mechanisms in TCP/FTP and UDP/FTP Scenario -- 2.1 Introduction -- 2.2 Queue Management Approaches -- 2.2.1 Passive Queue Management -- 2.2.2 Active Queue Management -- 2.2.3 Proactive Queue Management -- 2.3 Modeling -- 2.3.1 Simulation Design -- 2.3.2 Comparison Parameters -- 2.4 Simulation Result Analysis -- 2.5 Conclusion -- References -- 3 Wireless Sensor Network: A Possible Solution for Crowd Management -- 3.1 Introduction -- 3.2 Wireless Sensor Network (WSN) -- 3.3 History of Crowd Incidents -- 3.4 Related Work -- 3.5 Proposed Solution and Architecture for Crowd Management -- 3.6 Conclusion -- References -- 4 Artificial Neural Networks Based Green Energy Harvesting for Smart World -- 4.1 Introduction -- 4.2 Literature Review -- 4.3 Wind Energy Harvesting Systems -- 4.4 Artificial Neural Networks Topology -- 4.5 Results and Discussion -- 4.6 Conclusion and Future Scope -- References -- 5 Design of IoT-Based SmartMat -- 5.1 Introduction -- 5.2 Previous Work -- 5.3 Proposed System -- 5.4 Methodology -- 5.5 Results -- 5.6 Conclusion -- References -- 6 SMS Enabled Smart Vehicle Tracking Using GPS and GSM Technologies: A Cost-Effective Approach -- 6.1 Introduction -- 6.2 Tracking and Its State of the Art -- 6.3 The Proposed Work -- 6.3.1 Terminologies -- 6.3.2 Working Procedure -- 6.3.3 Circuit Diagrams -- 6.3.4 Configurations-Hardware/Software -- 6.3.5 Result and Analysis -- 6.4 Conclusion and Future Scope -- References -- 7 The MANI Protocol for Intra-Vehicular Networking -- 7.1 Introduction -- 7.2 Related Work -- 7.3 Methodological Overview -- 7.3.1 Performance Metrics. 7.3.2 Network Model -- 7.3.3 Proposed Concept of Horizontal Resonance -- 7.3.4 Proposed Protocol Data Unit (PDU) -- 7.3.5 Security -- 7.4 Discussion and Results -- 7.5 Conclusion and Scope -- References -- 8 Multi-criteria Group Recommender System Based on Analytical Hierarchy Process -- 8.1 Introduction -- 8.2 Related Work -- 8.3 AHP-Based Multi-criteria Group Recommender System -- 8.3.1 Weight Learning Through AHP -- 8.3.2 User-Criteria Preference List -- 8.3.3 Top N Recommendation Generation -- 8.4 Experiments -- 8.4.1 Dataset Description -- 8.4.2 Evaluation Metrics -- 8.5 Conclusion and Potential Directions -- References -- 9 Dimensionality Reduction for Insect Bites Pattern Recognition -- 9.1 Introduction -- 9.2 Problem Statement -- 9.3 Preliminaries -- 9.3.1 Principle Component Analysis -- 9.3.2 Linear Discriminant Analysis -- 9.3.3 Isomaps -- 9.3.4 Diffusion Maps -- 9.4 Experimental Setup and Result -- 9.5 Conclusion and Future Work -- References -- 10 Short Term Pollution Index Prediction Using Principles of Machine Learning -- 10.1 Introduction -- 10.2 Proposed Methodology and Experimental Results -- 10.3 Conclusion and Future Work -- References -- 11 DomSent: Domain-Specific Aspect Term Extraction in Aspect-Based Sentiment Analysis -- 11.1 Introduction -- 11.2 Related Work -- 11.3 Methodology -- 11.4 Evaluation and Comparison of Results -- 11.5 Conclusion and Future Directions -- References -- 12 IoT-Based Smart Car for Safety of Elderly People -- 12.1 Introduction -- 12.2 Problem Statement -- 12.3 Methodology -- 12.4 Working -- 12.5 Future Work and Conclusion -- References -- 13 IoT Based Solution for Automation of Hospital activities with High Authentication -- 13.1 Introduction -- 13.2 Problem Statement -- 13.3 Methodology -- 13.4 Conclusion and Future Work -- References. 14 Analysis and Comparison of Sensor Node Scheduling Heuristic for WSN and Energy Harvesting WSN -- 14.1 Introduction -- 14.2 Architecture of Energy Harvesting Wireless Sensor Network -- 14.3 Energy Harvesting Techniques -- 14.4 Modified QC-MCSC for EH-WSN -- 14.5 Simulation and Comparison Between Modified QC-MCSC for WSN Supplemented with Energy Harvesting Resources and QC-MCSC for Battery Powered WSN -- 14.6 Challenges and Issues -- 14.7 Conclusion -- References -- 15 Child Count Based Load Balancing in Routing Protocol for Low Power and Lossy Networks (Ch-LBRPL) -- 15.1 Introduction -- 15.2 Related Work -- 15.3 Background to RPL and Problem Statement -- 15.3.1 RPL Overview -- 15.3.2 DODAG Construction and Objective Function -- 15.3.3 RPL Problem -- 15.4 Proposed Method -- 15.4.1 DODAG Construction in RPL -- 15.4.2 Load Balancing in RPL (LBRPL) -- 15.4.3 Child Count Load Balancing RPL (Ch-LBRPL) -- 15.5 Simulation Setup and Performance Evaluation -- 15.5.1 Energy Consumption for DAGs -- 15.5.2 Control Traffic Overhead -- 15.5.3 Parent Switching -- 15.6 Conclusion -- References -- 16 A Dielectric Modulated Polarity Controlled Electrically Doped Junctionless TFET Biosensor for IOT Applications -- 16.1 Introduction -- 16.2 Description of Structural Parameters and Simulation Models -- 16.3 Results and Discussions -- 16.3.1 Optimization for Cavity -- 16.4 Conclusion -- References -- 17 Algorithm Selection via Meta-Learning and Active Meta-Learning -- 17.1 Introduction -- 17.2 Meta-Learning -- 17.3 Active Meta-Learning -- 17.3.1 Uncertainty Sampling Method -- 17.4 Flow of Proposed System -- 17.4.1 Proposed Algorithm -- 17.5 Experiments -- 17.6 Conclusion -- References -- 18 Effect of Metallic Strip Deposition Within the Source Dielectric with Applied Double Metallic Drain for Enhanced DC/RF Behavior of Charge Plasma TFET for Low-Power IOT Applications. 18.1 Introduction -- 18.2 Structure Parameters and Simulation Setup -- 18.3 Results and Discussion -- 18.4 Inverter Level Performance of Both the Devices -- 18.5 Conclusion -- References -- 19 Analysis of Coverage Hole Problem in Wireless Sensor Networks -- 19.1 Introduction -- 19.2 Sensor Network Holes -- 19.3 Need for Coverage Hole Detection and Healing -- 19.4 The Detection and Healing Models for Coverage Hole -- 19.5 Simulation Result -- 19.6 Conclusion -- References -- 20 Community Detection Using Maximizing Modularity and Similarity Measures in Social Networks -- 20.1 Introduction -- 20.2 Literature Work -- 20.3 Proposed Cosine Shared Link Method (CSLM) -- 20.4 Experiments and Results -- 20.5 Conclusion and Future Scope -- References -- 21 Subgame Perfect Equilibrium-Based Framework for Counterterror Solution Modeling -- 21.1 Introduction -- 21.1.1 Actors Involved in Terrorism -- 21.1.2 Game Theory -- 21.1.3 Nash Equilibrium and Subgame Perfect Nash Equilibrium -- 21.2 Scenario Setup and Assumptions -- 21.3 Modeling the Proposed Solution -- 21.4 Simulations and Test Cases -- 21.5 Results and Discussion -- 21.6 Conclusion and Future Work -- References -- 22 A Broadband Microstrip Patch Antenna for C-Band Wireless Applications -- 22.1 Introduction -- 22.2 Antenna Configuration -- 22.3 Antenna Parameters and Discussion -- 22.4 Conclusion -- References -- 23 Rule-Based Derivational Stemmer for Sindhi Devanagari Using Suffix Stripping Approach -- 23.1 Introduction -- 23.2 Morphology -- 23.2.1 Sindhi Morphology -- 23.3 Related Work -- 23.3.1 In Sindhi Language -- 23.3.2 In Other Languages -- 23.4 Proposed Algorithm -- 23.4.1 NOUN to VERB -- 23.4.2 ADJECTIVE to NOUN -- 23.4.3 NOUN to ADJECTIVE -- 23.4.4 VERB to NOUN -- 23.4.5 Algorithm -- 23.5 Results and Evaluation -- 23.6 Conclusions and Future Work -- References. 24 Slow Speed Alert for Speed Breakers and Potholes Using IoT and Analytics in the Context of Smart Cities -- 24.1 Introduction -- 24.2 Literature Review and Technologies Used -- 24.2.1 State of the Art-Literature -- 24.2.2 Technologies -- 24.3 Proposed Architecture and Implementation -- 24.3.1 User Interface -- 24.3.2 Speed Breaker/Pothole Detection -- 24.3.3 Speed Breaker/Pothole Alert -- 24.3.4 Server and Smart City Deployment -- 24.3.5 Assumptions and Limitations -- 24.4 Results and Discussion -- 24.5 Conclusions -- References -- 25 Localization and Indoor Navigation for Visually Impaired Using Bluetooth Low Energy -- 25.1 Introduction -- 25.2 Problem Setting -- 25.3 System Design -- 25.3.1 System Overview -- 25.3.2 Optimized Positioning of Beacons -- 25.3.3 Current Location Identification -- 25.3.4 Navigation Through the Infrastructure -- 25.4 System Implementation -- 25.4.1 System Challenges -- 25.4.2 Discussions -- 25.5 Conclusion -- References -- 26 Compact Circularly Polarized Symmetric Fractal Slits Loaded Micro-strip Antenna -- 26.1 Introduction -- 26.2 Fractal Geometry and Antenna Design -- 26.3 Results and Discussion -- 26.4 Conclusion -- References -- 27 Fog Computing-Based Environmental Monitoring Using Nordic Thingy: 52 and Raspberry Pi -- 27.1 Introduction -- 27.2 Proposed System Architecture -- 27.2.1 Research Challenges -- 27.3 A Simple Testbed Setup -- 27.4 Conclusion -- References -- 28 A Note on Wired and Wireless Sensor Communication Using Arduino Board and NodeMCU -- 28.1 Introduction -- 28.2 Review of Literature -- 28.3 Experiment Design -- 28.3.1 Arduino Board -- 28.3.2 Program Code Sensor -- 28.3.3 Arduino IDE -- 28.3.4 PLX-DAQ|Parallax Inc -- 28.3.5 NodeMCU ESP8266 -- 28.3.6 ThingSpeak -- 28.4 Experimentation -- 28.4.1 Wired Communication -- 28.4.2 Wireless Sensor Communication -- 28.5 Challenges -- 28.6 Conclusion. References. EBL202103 XX SzGeCERN BOOK Shekhawat, Rajveer Singh Mundra, Ankit Srivastava, Sumit Verma, Vivek Kumar https://cds.cern.ch/auth.py?r=EBLIB_P_5967879 ebook n 202110 202103 21 PUBLIC https://catalogue.library.cern/legacy/2755916 BOOK MIGRATED 2755885 SzGeCERN 20210421184202.0 9783030320331 electronic version electronic version 9783030320324 print version oai:cds.cern.ch:2755885 cerncds:BOOK EBL 5963245 eng TA1-2040 004 Botto-Tobar, Miguel Advances in emerging trends and technologies volume 2 Cham Springer International Publishing AG 2019 429 p ebook Advances in intelligent systems and computing 1067 Intro -- Preface -- Organization -- General Chairs -- Organizing Committee -- Steering Committee -- Publication Chair -- Program Chairs -- Technology Trends -- Electronics -- Intelligent Systems -- Machine Vision -- Communication -- Security -- e-Learning -- e-Business -- e-Government and e-Participation -- Program Committee -- Organizing Institutions -- Sponsoring Institutions -- Contents -- Electronics -- Low-Cost Embedded System for Shop Floor Communications and Control Based on OPC-UA -- 1 Introduction -- 2 System Implementation -- 2.1 OPC-UA Implementation -- 3 Case Study -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- Study of Feature Extraction Methods for BCI Applications -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Alpha Waves Detection and Implementation of a BCI -- 2.2 Feature Extraction and Classification of Sensorimotor Rhythms -- 3 Results -- 3.1 Performance of the Alpha Waves Detection Method -- 3.2 Performance of the Sensorimotor Rhythms Detection Methods -- 4 Conclusions -- References -- Dynamics of a Unicycle-Type Wheeled Mobile Manipulator Robot -- Abstract -- 1 Introduction -- 2 Modeling -- 2.1 Kinematic -- 2.2 Dynamic -- 3 Identification of Parameters -- 4 Results -- 4.1 Identification -- 4.2 Validation -- 5 Conclusions -- References -- Development of a Simulator with Two Degrees of Freedom of the Direction System of Massey-Ferguson's 3640 Agricultural Tractors -- Abstract -- 1 Introduction -- 2 Description of the Proposed Simulator -- 2.1 Mechanical Design -- 2.1.1 Design of the Moving Frame -- 2.2 Control System -- 2.3 Graphic Simulation -- 2.3.1 Error Detection Method -- 3 Results Obtained -- References -- Database Proposal for Correlation of Glucose and Photoplethysmography Signals -- Abstract -- 1 Introduction -- 2 Description of the Technique -- 3 Results and Discussion. 4 Conclusions -- References -- Speed Estimator for a Hydraulic System -- Abstract -- 1 Introduction -- 2 Description of the Technique -- 3 Results and Discussion -- 4 Conclusions -- References -- Comparative Study of Sensors Applied to a Three-Dimensional Scanner -- Abstract -- 1 Introduction -- 2 Materials and Method -- 2.1 Three-Dimensional Scanner -- 2.2 Hardware -- 3 Design of the Sampling and Testing System -- 3.1 Computer System -- 3.2 Electromechanical System -- 3.3 Sensors -- 4 Tests and Results -- 4.1 Accuracy Test -- 4.2 Sweep Test -- 4.3 Resolution -- 4.4 Distance Test -- 4.5 Environmental Influence -- 5 Conclusions -- References -- Diagnosis of Incipient Faults in Induction Motors Using MCSA and Thermal Analysis -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Motor Current Signature Analysis -- 2.2 Major Faults in Induction Motors -- 2.3 Implementation -- 3 Analysis of Results -- 3.1 Bearing Faults -- 3.2 Broken Bar Fault -- 3.3 Short Circuit Fault -- 4 Conclusions -- References -- Three-Lead Electrocardiograph with Display and Printing System -- Abstract -- 1 Introduction -- 2 ECG Signal Acquisition and Filtering -- 2.1 ECG Signal Filtering Stage -- 2.2 Instrument Amplifier -- 2.3 Filtering Design. Band Suppressor, High-Pass and Active Low-Pass Filter -- 2.4 Signal Conditioning -- 2.5 Conversor Análogo/Digital ADC -- 2.6 Power Supply, Maintenance and Battery Charging Circuit -- 2.7 Differential Power Supply -- 3 Displaying Records and Wireless Communication -- 3.1 Results and Tests -- 4 Conclusions -- References -- Four-Degree Free Spheric Morphology Robotic Arm for Manipulation of Objects by Means of Platform Robotic Operating System (ROS) -- Abstract -- 1 Introduction -- 2 Design Development -- 2.1 Robot Kinematics -- 2.2 Robot Control -- 2.3 Implementation of the Control System in ROS. 3 Construction and Implementation of the Spheric Robot -- 3.1 Implementation of the Electrical and Electronic System -- 4 Analysis of Results -- 5 Discussions -- References -- Prototype of Application and Keyboard for Writing Using the Braille System on a Computer -- Abstract -- 1 Introduction -- 2 The Prototypes and Existing Devices -- 2.1 Braille Interaction in Back of the Car Steering Wheel -- 2.2 Automatic Braille Translation System -- 2.3 Electronic Braille Teaching Prototype -- 2.4 Braille Keyboard for the Visually Impaired -- 2.5 Single Character Refreshable Braille Display -- 3 Proposed Device -- 3.1 Important Aspects for the Development of a Prototype of Reading and Writing -- 3.2 Development Process -- 3.3 Technical Description of the Prototype -- 3.4 Software Considerations -- 3.5 Presentation of the Final Design -- 4 Experimentation and Validation of the Prototype -- 5 Analysis of Results -- 6 Conclusions -- References -- Sliding Mode Controller Applied to a Synchronous DC/DC Power Converter -- 1 Introduction -- 2 Synchronous Buck Converter -- 3 Converter Model -- 4 Sliding Mode Control (SMC) -- 5 Experimental Results -- 6 Conclusions -- References -- Automation of the Feeding System for Washing Vehicles Using Low Cost Devices -- Abstract -- 1 Introduction -- 2 Current Situation -- 3 Proposed System -- 3.1 Electromechanical Design -- 3.2 Mobile Application -- 4 Results -- 5 Conclusions -- References -- Application of Telematic Instrumentation for Monitoring and Control in the Treatment of Neuromuscular Diseases -- Abstract -- 1 Introduction -- 2 Research Strategy and Methods -- 2.1 Exploratory Stage -- 2.2 Needs Establishment Stage -- 2.3 Implementation Phase -- 3 Results -- 3.1 Validation of the Proposal -- 3.2 Evaluation of the Implemented System -- 4 Discussion -- References -- Test System for Control Algorithms on a DC Motor. Abstract -- 1 Introduction -- 2 Development -- 2.1 Mathematical Design of the PID System -- 2.2 Mechanical and Electrical Part -- 2.3 Software Part -- 3 Tests and Results -- 4 Conclusions -- References -- Forecasting Building Electric Consumption Patterns Through Statistical Methods -- 1 Introduction -- 2 Background -- 2.1 Simple Linear Regression (SLR) -- 2.2 Multiple Linear Regression (MLR) -- 2.3 Time Series -- 2.4 Exponential Smoothing (ES) -- 2.5 ARIMA Models -- 3 Case Study and Overall Procedure -- 3.1 Case Study -- 3.2 Evaluation Measures -- 3.3 Overall Procedure -- 4 Results and Discussion -- 4.1 Results Comparison -- 4.2 Discussion -- 5 Conclusions -- References -- Dynamic State Estimation of a Synchronous Machine Applying the Extended Kalman Filter Technique -- Abstract -- 1 Introduction -- 2 Simulation Model -- 3 The Extended Kalman Filter -- 4 Estimation Models -- 5 State Estimator Design -- 6 Results -- 7 Conclusions -- References -- Automation of a Universal Testing Machine for Measuring Mechanical Properties in Textile Fibers -- Abstract -- 1 Introduction -- 2 System Design -- 2.1 Hardware Design -- 2.2 Software Design -- 3 Implementation and Results -- 3.1 Result Comparison -- 4 Discussion -- 5 Conclusions -- References -- Analytical Calculation of the Relations of Profile w/h and s/h of a Micro-coplanar Stripline with a Dielectric and a Ground Plan for the Static Case -- Abstract -- 1 Introduction -- 1.1 Thin Films -- 1.2 Micro-coplanar Stripline -- 2 Usefulness of Flat Transmission Lines -- 2.1 Boundary Conditions for Electric and Magnetic Fields -- 2.2 Boundary Conditions in a Perfect Conductor (Electrical Walls) -- 2.3 Boundary Conditions in a Perfect Conductor (Magnetic Walls) -- 3 Schwarz-Christoffel Transformation -- 3.1 Calculation of the Relations of Profile w/h Y s/h -- 4 Checking the Results Obtained -- 5 Conclusions. References -- e-Business -- Organizational Effectiveness and Tools of eCollaboration Antecedents: An Empirical Exam in Ecuador's Automotive Sector -- Abstract -- 1 Introduction -- 2 Background -- 3 Methodology -- 3.1 Selection of Companies in the Automotive Sector -- 3.2 Survey -- 4 Results -- 4.1 Descriptive Analysis -- 4.2 Correlation and Regression Analysis -- 5 Discussion -- 6 Conclusion -- References -- Communication -- Evaluation of the Implementation of Li-Fi in the Communes of Santiago -- 1 Introduction -- 2 Ecosystem of the Metropolitan Region -- 3 Description of the Problem to Be Solved -- 3.1 Use of the Method -- 4 Analysis of Results -- 5 Conclusions -- References -- Crowdsensing and MQTT Protocol: A Real-Time Solution for the Prompt Localization of Kidnapped People -- Abstract -- 1 Introduction -- 2 The State of the Art -- 3 Technical Architecture -- 3.1 Geographical Limit and Software Tools -- 4 Operational Testing and Results -- 5 Conclusions and Future Work -- Acknowledgments -- References -- An Adapted Indoor Propagation Model for Colonial Buildings -- 1 Introduction -- 2 Indoor Propagation Models -- 2.1 One-Slope Model -- 2.2 Log-Distance Model -- 2.3 Motley-Keenan Model -- 2.4 ITU Indoor Path Loss -- 3 Methodology -- 3.1 Scenarios -- 3.2 Measurement Methodology -- 3.3 Validation of the Proposed Model -- 4 Proposed Model -- 5 Results -- 6 Conclusions -- References -- Hand Prosthesis with Nitinol: Shape Memory Alloy -- Abstract -- 1 Introduction -- 1.1 State of the Art Robotic Hand Prototypes Using SMA -- 2 Fundamentals of Shape Memory Alloys. Nitinol -- 2.1 Use of Nitinol as a Shape Memory Alloy -- 2.2 Advantages and Disvantages of Nitinol Compared to Other Alloys -- 2.3 Shape Memory Control in Nitinol -- 2.4 Calculations of the Nitinol Springs Use in the Prosthesis -- 3 Design of the Robotic Prosthesis with Nitinol Springs. 3.1 Electronic Current Circuit. EBL202103 XX SzGeCERN BOOK León-Acurio, Joffre Díaz Cadena, Angela Montiel Díaz, Práxedes https://cds.cern.ch/auth.py?r=EBLIB_P_5963245 ebook n 202110 202103 21 PUBLIC https://catalogue.library.cern/legacy/2755885 BOOK MIGRATED 2755863 SzGeCERN 20210421184203.0 9783030318345 electronic version electronic version 9783030318338 print version oai:cds.cern.ch:2755863 cerncds:BOOK EBL 5945782 eng TA401-492 621.312423 An, Liang Recycling of spent lithium-ion batteries processing methods and environmental impacts Cham Springer International Publishing AG 2019 219 p ebook EBL202103 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_5945782 ebook n 202110 202103 21 PUBLIC https://catalogue.library.cern/legacy/2755863 BOOK MIGRATED 2755800 SzGeCERN 20210421184207.0 9783030264468 electronic version electronic version 9783030264451 print version oai:cds.cern.ch:2755800 cerncds:BOOK EBL 5940479 eng QC71.82-73.8 621.312136 Sayigh, Ali The age of wind energy progress and future directions from a global perspective Cham Springer International Publishing AG 2019 341 p ebook Innovative renewable energy Intro -- Contents -- About the Editors -- Chapter 1: Introduction -- Chapter 2: Wind Energy Development -- 2.1 Introduction -- 2.2 Brief History -- 2.3 Design Options -- 2.3.1 Blades -- 2.3.2 Wind Turbine Size and Weight Trends -- 2.3.3 Power Control -- 2.3.4 Drive Train Possibilities -- 2.3.5 Support Towers -- 2.4 Other Wind Turbine Concepts -- 2.4.1 Vertical Axis -- 2.4.2 Multirotor Concept -- 2.5 Offshore Wind -- 2.5.1 Floating Wind Turbines -- 2.5.1.1 Performance Issues -- 2.5.2 Changes in Performance with Age -- 2.5.3 Towards 20 MW and Beyond -- 2.6 Future Developments and Conclusions -- References -- Chapter 3: What Is the Wind Energy Progress in Greece? Prospects and Problems -- 3.1 Introduction: The First Steps of Wind Energy in Greece -- 3.2 Wind Potential of Greece-Wind Energy Production -- 3.3 Status of Wind Power Applications in Greece -- 3.4 Limits of Wind Power Penetration in Greece -- 3.5 Proposed Solutions for High Wind Power Contribution -- 3.6 Conclusions -- References -- Chapter 4: Wind Energy Programme in Japan -- 4.1 Brief History of Wind Power Generation in Japan -- 4.1.1 National Strategy -- 4.1.2 Installed Capacity -- 4.1.3 Benefits to National Economy -- 4.1.4 Market Characteristics -- 4.1.5 Industrial Development and Operational Experience -- 4.1.6 Economic Details -- 4.1.7 National Incentive Programmes -- 4.1.8 National R&amp -- D Efforts -- 4.1.9 Collaborative Research -- 4.2 Present Status of Wind Power Generation in Japan -- 4.2.1 Future Target -- 4.2.2 Feed In Tariff -- 4.2.3 Grid Restrictions -- 4.2.4 Offshore Wind Power Development -- 4.3 Potential and Future Prospects of Wind Power in Japan -- 4.3.1 Wind Turbine Installation Roadmap -- 4.4 Conclusion -- Chapter 5: Wind Power Generation in Jordan: Current Situation and Future Plans -- 5.1 Introduction -- 5.2 Wind Potential in Jordan. 5.3 Wind Power Plants in Jordan -- 5.3.1 Tafila Wind Farm -- 5.3.2 Fujeij Wind Farm -- 5.3.3 Rajef Wind Farm -- 5.3.4 Shobak Wind Farm -- 5.3.5 Maan Wind Farm -- 5.4 Conclusions -- References -- Chapter 6: Wind Energy in Australia -- 6.1 Introduction -- 6.2 Wind Energy Potential in Australia -- 6.3 Wind Energy Harnessing History in Australia -- 6.4 Wind Farms in Australia and Their Differing Technologies -- 6.5 Environmental and Social Impact of Wind Energy -- 6.6 Policies, Regulations, Standards and Guidelines in Australia -- 6.7 Wind Energy Research in Australia -- 6.8 Wind Energy Outlook -- 6.9 Conclusion -- References -- Chapter 7: Hybrid Wind Energy Solutions Including Energy Storage -- 7.1 Introduction: Remote Energy Consumers and High RES Potential -- 7.2 Wind Energy Penetration Limits in Remote Networks -- 7.3 Wind-Based Hybrid Energy Solution Using Energy Storage -- 7.4 Optimum Sizing-Financial Evaluation of Wind-Based Hybrid Energy Systems -- 7.5 Selected Applications of Wind-Based Hybrid Power Systems -- 7.5.1 El Hierro (Canary Islands, Spain) -- 7.5.2 Ikaria Case (Aegean Archipelagos, Greece) -- 7.5.3 Isle of Eigg (Scotland) -- 7.5.4 Tilos Island (Greece) -- 7.6 Conclusions and Proposals -- References -- Chapter 8: Risk Analysis in Wind Energy: An Alternative Approach for Decision-Making -- 8.1 Introduction -- 8.1.1 Risk Analysis -- 8.2 Complexity, Ignorance, Uncertainty -- 8.2.1 Complexity -- 8.2.2 Ignorance -- 8.2.3 Uncertainty -- 8.2.3.1 Model Uncertainty -- 8.3 Human Factor -- 8.4 Proposal -- 8.4.1 General Aspects -- 8.4.2 Hierarchical Structure: Holistic Approach -- 8.5 Conclusions -- References -- Chapter 9: Wind Energy in Argentina: Actuality and Prospects -- 9.1 Introduction: Argentina, A Country with a Variety of Climates and Types of Orography -- 9.1.1 Geographic Situation -- 9.1.2 Demographic Situation. 9.1.3 First Applications of Renewable Energy Sources (RES) in Argentina -- 9.2 Regional RES Centers and First Wind Installations -- 9.2.1 Regional RES Centers -- 9.2.2 State Wind Power Installations -- 9.3 Facilities in Cooperatives and Municipalities -- 9.3.1 First Wind Farms Connected to Argentinean Interconnected Electrical System (AIES) -- 9.3.2 Synchronous Generation/Pitch Control Versus Asynchronous Generation/Ställ Control -- 9.4 Training in Wind Energy Ventures -- 9.4.1 Work Force Training -- 9.4.2 Postgraduate Training -- 9.5 Legal Framework: Environment and Situation of the RES -- 9.6 National Plans of Facilities for Renewable Energy Sources -- 9.6.1 Situation of the Electricity Market and the RES Since 2004 -- 9.6.2 RENOVAR -- 9.6.3 Analysis of the Price of Energy in Argentinean Whole Sale Electricity Market -- 9.6.4 RENOVAR III-MINIREN (2018) -- 9.7 Evolution of the Argentine Energy System for Connection of New Electrical Generation -- 9.7.1 Actual AIES and AIES in Short Term -- 9.7.2 Medium and Long-Term AIES Situation -- 9.8 Pending Applications of Wind Energy To Be Carried Out in Argentina -- 9.8.1 Small Wind Turbines in Urban Environments -- 9.8.2 Wind Energy Applications Combined with Other Renewable Sources or Energy Accumulation -- 9.8.2.1 Pre-projects in Academic Institutions -- 9.8.2.2 Provincial State Policies in Wind-Solar Developments -- 9.8.2.3 Hydrogen as Energy Vector from Wind Energy -- 9.9 Conclusions and Recommendations -- 9.9.1 Conclusions -- 9.9.2 Recommendations -- References -- Chapter 10: Advancements and Challenges Affecting Wind Turbine Implementation in the Member States of the Cooperation Council ... -- 10.1 Introduction -- 10.2 The Advancements of Wind Turbine Technology -- 10.2.1 Larger Turbines Improve Efficiency and Performance -- 10.2.2 Clean Energy Meets Battery Storage. 10.2.3 Stable Way of Installation with Confidence -- 10.2.4 Advanced and Efficient Site Selection Methodologies -- 10.2.5 Specialised Blades Are Developed to Generate More Energy from Low-Wind Areas -- 10.2.6 Prices of Offshore Wind Is Falling Steeply and Will Keep Doing So -- 10.3 Why Do We Need Wind Energy in GCC? -- 10.4 Wind Energy Resources in the GCC Region Versus Oil -- 10.5 Regional Suitability for Onshore Wind Power Generation -- 10.6 Wind Energy Availability Over View in the GCC Region -- 10.6.1 Oman -- 10.6.2 Bahrain -- 10.6.3 Saudi Arabia -- 10.6.4 Qatar -- 10.6.5 Kuwait -- 10.6.6 United Arab Emirates -- 10.7 Challenges to Implementation -- 10.8 Conclusion -- References -- Chapter 11: Wind Energy in the UK: Progress and Future Expectations -- 11.1 Introduction -- 11.2 UK Wind Energy Target -- 11.3 UK Wind Energy Progress -- 11.4 UK Wind Energy Potential and Electricity Generation from Wind Energy in the UK: 2017 -- 11.5 Onshore largest Wind Farms Projects -- 11.6 Offshore largest Wind Farms in Operation -- 11.7 What Impact Is Brexit Likely to Have on the UK´s Wind Energy Industry and Targets? -- 11.8 Conclusion -- References -- Chapter 12: Urban Environment: Characterization of the Wind in Flat Roofs -- 12.1 Introduction -- 12.2 Buildings with Flat Roofs -- 12.3 The Role of Roof Geometry -- 12.4 Wind Tunnels Tests Versus CFD -- 12.5 A Case of Study -- 12.5.1 Case A: High Building with Flat Roof -- 12.5.2 Case B: High Building with Stepped Ceiling -- 12.5.2.1 Wind Flow from North and South Directions -- 12.5.2.2 Wind Flow from the East Direction -- 12.5.2.3 Wind Increase in the Ceiling -- 12.5.2.4 Qualitative Determination of the Areas with Highest Turbulence Intensity -- 12.6 Conclusion -- References -- Chapter 13: Wind Energy in Morocco: Resources, Potential, and Progress -- 13.1 Introduction -- 13.2 Wind Characteristics and Resources. 13.2.1 General Characteristics of the Wind Resource -- 13.2.1.1 Fundamental Causes of the Winds -- 13.2.1.2 Temporal Characteristics of Wind -- 13.2.1.3 Available Potential of the Wind Resource -- 13.2.1.4 Maximum Power Extraction: The Betz Limit -- 13.2.2 Characteristics of the Atmospheric Boundary Layer -- 13.2.2.1 Atmospheric Density and Pressure -- 13.2.2.2 Stability of the Atmospheric Boundary Layer -- 13.2.2.3 Turbulence -- 13.2.2.4 Wind Speed Variation with Height -- 13.2.3 Mathematical Modeling of the Distribution of Wind Speed Frequencies -- 13.2.3.1 Weibull Function -- 13.2.3.2 Weibull Hybrid Function -- 13.2.4 Wind Turbine Energy Production -- 13.2.4.1 General Aspects of Wind Turbine Power -- 13.2.4.2 Wind Turbine Energy Production Using Direct Method -- 13.2.4.3 Wind Turbine Energy Production Estimates Using Statistical Techniques -- 13.2.4.4 Production Calculations for a Real Wind Turbine Using Weibull Distribution -- 13.2.4.5 Assessment of Capacity Factor of a Wind Turbine -- 13.3 Wind Potential in Morocco: Bibliographic Study -- 13.3.1 Introduction -- 13.3.2 Wind in Morocco -- 13.3.3 Available Wind Speed Measurement Data -- 13.3.4 Quantitative Assessment of Wind Potential -- 13.3.5 Conclusions and Perspectives -- 13.4 Statistical Characteristics of Wind Potential of the Windiest Sites in the Sahara Provinces of Morocco -- 13.4.1 Introduction -- 13.4.2 Wind Characteristics and Resources in the South -- 13.4.2.1 Annual Averages of Wind Speed -- 13.4.2.2 Diurnal Variations -- 13.4.2.3 Frequency Distributions -- 13.4.2.4 Weibull Hybrid Distributions -- 13.4.3 Annual Averages of Wind Potential Available in the South of Morocco -- 13.4.4 Conclusion -- 13.5 Influence of the Period of Measurements on Wind Potential Assessment for a Given Site -- 13.5.1 Introduction -- 13.5.2 Statistical Characteristic and Resource of Wind Potential in Tangier. 13.5.3 Influence of the Frequency of Measurements and Number of Years on Wind Speed. EBL202103 XX SzGeCERN BOOK Milborrow, David https://cds.cern.ch/auth.py?r=EBLIB_P_5940479 ebook n 202110 202103 21 PUBLIC https://catalogue.library.cern/legacy/2755800 BOOK MIGRATED 2755794 SzGeCERN 20210421184207.0 9789811380396 electronic version electronic version 9789811380389 print version oai:cds.cern.ch:2755794 cerncds:BOOK EBL 5939515 eng HB71-74 519.3 Hamada, Ryoju Neo-simulation and gaming toward active learning Singapore Springer Singapore Pte Limited 2019 557 p ebook Translational systems sciences 18 Intro -- Preface -- Guide to 50 Papers: Toolbox of S/Gs and ALs -- Part I: Various Applications of S&amp -- G -- Part II: S/G to Learn Business -- Part III: S/G to Raise Consciousness for the Environment -- Part IV: S/G to Understand Disaster Management -- Part V: S/G with the Latest Technology -- Part VI: S/G for Consensus Building and Knowledge Management -- Part VII: S/G for Consensus Building and Knowledge Management -- Part VIII: Neo S/G -- Forecasting the New Era of S/G and AL -- Contents -- About the Editors -- Part I: Various Applications of S&amp -- G -- Introducing Arrival City Game for Neighborhood Diversity -- 1 Gaming Simulation as a Tool to Promote Immigrant Integration Introduction -- 2 Game Design and Mechanism -- 3 Effect of the Game on Resident Perception -- 4 Discussion and Final Remark -- References -- Designing a Human Computation Game for Enhancing Early-Phase Movie Box Office Prediction -- 1 Introduction -- 2 Data Collection -- 3 Baseline Model -- 4 Human Computation Game -- 4.1 Purpose -- 4.2 Game Design -- 4.3 Experiments -- 5 Enhanced Baseline Model -- 6 Result Analysis -- 7 Limitations -- 8 Conclusions -- References -- HalluciFear: Educational Game About Drug Addiction -- 1 Introduction -- 2 Literature Review -- 2.1 LSD -- 2.2 Common Fear -- 2.3 Game Designing Theory -- 2.3.1 Mechanics -- 2.3.2 Aesthetics -- 2.3.3 Story -- 2.3.4 Technology -- 3 Game Implementation -- 4 Result of Game Development -- 4.1 Start Menu -- 4.2 Character Control System -- 4.3 Twirl System -- 4.4 Game Artificial Intelligence System -- 4.5 The Game Sound Effect and Background Music -- 4.6 The User Interface Used in the Game -- 4.7 Jump Scare -- 5 Game Evaluation -- 5.1 Evaluation by Experts -- 5.2 Evaluation by a Former Drug Addict -- 5.3 Evaluation by User Satisfaction Survey -- 6 Conclusion -- References. A Perspective on the Needs for Simulation and Gaming Technology in Outpatient Care -- 1 Introduction -- 2 Purpose -- 3 Background -- 3.1 Historical Perspective of the Needs for IT in Healthcare -- 3.2 Healthcare Information Sources and Standards -- 3.2.1 Health Informatics Standards for Interoperability -- 3.2.2 Medical Lexicon -- 3.2.3 DICOM -- 3.3 Creating Patient Data Warehouse for Medical Presentations -- 3.4 User Interface in Medical Applications -- 3.5 Overworked Healthcare Professionals -- 3.6 Examination Rooms -- 4 AR, VR, Gaming, and Simulation in Healthcare -- 4.1 Target Area -- 5 Applying the Technologies to Outpatient Care Setting -- 6 Conclusion and Future Work -- References -- A Simulation Game of Patient Transportation -- 1 Introduction -- 2 Theorizing Simulation Game -- 3 Simulation Game Design -- 3.1 Physical Simulation -- 3.1.1 Decentralized Service System Topology -- 3.1.2 Autonomous Agents -- 3.1.3 Objective-Oriented Behaviors -- 3.2 Command and Control -- 3.2.1 Ambulance Dispatcher -- 3.2.2 Ambulance Station Manager -- 3.2.3 Hospital Logistics Manager -- 4 Use Case Example -- 5 Discussion -- 6 Conclusions -- References -- A Simulation Game for Anticipatory Scheduling of Synchromodal Transport -- 1 Introduction -- 2 Game Mechanics -- 3 Game Scenarios -- 4 Verification and Validation -- 5 Game Use -- 6 Conclusions -- References -- From Discussions to Games: Facilitating Interactions Between Experts from Aviation and Humanitarian Aid -- 1 Introduction -- 2 Theoretical Background -- 2.1 Humanitarian Response -- 2.2 Airport Management -- 2.3 Research Question -- 3 Methods -- 3.1 Discussion Rounds with Experts -- 3.1.1 Sample and Set-Up -- 3.1.2 Results -- 3.2 Gaming-Related Method -- 3.2.1 Sample and Set-Up -- 3.2.2 Results -- 3.3 Simulation Game -- 3.3.1 Sample and Set-Up -- 3.3.2 Results -- 4 Discussion and Conclusions. 5 Outlook and Future Work -- References -- 3D Periodic-Sugoroku Game for Active Learning of the Periodic Table -- 1 Introduction -- 2 Periodic-Sugoroku -- 2.1 Overview of Periodic-Sugoroku -- 2.2 Periodic-Sugoroku Rules -- 2.3 Periodic-Sugoroku Software -- 3 Experiment -- 4 Results and Discussion -- 5 Conclusions -- References -- Part II: S&amp -- G to Learn Business -- A Business-Simulation Game to Teach How to Comprehend Financial Statements -- 1 Introduction -- 2 Prior Research and Its Problems -- 3 Experimental Methods -- 4 Explanation of Business Game -- 5 Evaluation Methods -- 5.1 Paper Test -- 5.2 Questionnaire Survey -- 6 Results -- 6.1 Paper Test Results -- 6.2 Questionnaire Survey Results -- 7 Discussion -- 7.1 Paper Test Results -- 7.2 Questionnaire Survey Results -- 8 Concluding Remarks -- References -- Co-creating Prototype Improvement Using Participatory Design on the Development of a Serious Game in Financial Literacy Skills -- 1 Introduction -- 2 Participatory Design and Co-creation in Serious Games Development -- 3 Invest-Man: A Serious Game for Teaching Financial Literacy Skills -- 4 Co-creation Process to Improve an Existing Serious Game Prototype's Effectiveness: A Case Study of the Invest-Man Game -- 4.1 Participants -- 4.2 Procedure and Method -- 4.3 List of Changes Resulting from the Co-creation Process -- 4.4 Results and Discussion -- 5 Conclusion and Future Suggestions -- References -- Augmented Reality in Finance Learning Games -- 1 Introduction -- 2 Literature Review -- 3 Education Background of the Game -- 4 The Game -- 5 Summary -- References -- Learning Efficacy Among Executives and Students of an Organizational Growth Game -- 1 Introduction -- 2 Materials and Methods -- 3 Findings -- 4 Discussion -- 5 Conclusion -- References -- Business Game Promoting Supply Chain Collaboration Education at Universities. 1 Introduction -- 2 Literature Review -- 3 Introduction to SCC and SCC2 Games -- 4 Educational Practices at SIIT Thammasat University -- 5 Conclusions -- References -- How Can We Ensure Middle School Students Acquire Economic Thinking? Developing and Evaluating an Analog Game Involving Smartphones Simulated with LEGO® Blocks -- 1 Introduction -- 2 Research Goal and Methodology -- 3 Analog Game Involving Smartphones Simulated with LEGO® Blocks -- 3.1 Outline of the Game -- 3.2 Implementing the Game -- 3.3 Outcomes of the Game -- 3.3.1 Changes in Cognition of the Concept of Opportunity Cost Before and After Lesson -- 3.3.2 Understanding the Concept of Opportunity Cost -- 3.3.3 Changes in Perceptions of the Economy Before and After the Lesson -- 3.3.4 Participants' Actions and Strategies in the Game -- 4 Conclusions -- References -- Simulation Games to Foster Innovation: Insights from the Transport and Logistics Sector -- 1 Introduction -- 2 Towards an Innovation Ecosystem Approach in Transport and Logistics -- 3 Simulation Games: Role and Potential in Fostering Innovation -- 4 Analysis of Selected Innovation Case Studies Within the Port of Rotterdam -- 4.1 Case Descriptions -- 4.2 Case Analysis: Interviews' Results -- 5 Simulation Game Development -- 6 Conclusions - Perspectives -- References -- Disrupting Traditional Business Studies Testing by Internet-Based Simulation Game -- 1 Introduction -- 2 Literature Reviews -- 3 Methodology -- 4 Results and Findings -- 5 Conclusions -- References -- Part III: S&amp -- G to Learn Environmental Issues -- Methodology for Environmental Learning Based on Material Flow Diagram of Green Multidimensional Bookkeeping System -- 1 Introduction -- 2 Necessity of Qualitative Environmental Learning -- 2.1 Concept of Potential Environmental Burden -- 2.2 Necessity for a Tool for Qualitative Understanding. 3 Objective and Outline of the New Methodology -- 3.1 Objective and Target -- 3.2 Outline of the Green MDBS -- 3.3 Material Flow Diagram of the Green MDBS -- 3.4 Economic Aspects of Managing Potential Environmental Burdens -- 3.5 Procedures of Environmental Learning -- 4 Results and Discussion -- 4.1 Material Flow Diagram Implementation in a Large Classroom -- 4.2 Implementation of Material Flow Diagram in a Small Classroom -- 4.3 Discussion -- 5 Concluding Remarks -- References -- Board Game for Collective Learning on Green Roof Ecosystem Services -- 1 Introduction -- 2 Methods -- 3 Results and Discussion -- 3.1 Green Roofs from Gaming Sessions -- 3.2 Participants' Learning -- 3.3 Limitation and Suggestion for Further Improvement -- 4 Conclusion -- References -- Design of Simulation and Gaming to Promote the Energy Transition from Fossil Fuels to Renewables -- 1 Introduction -- 2 Design of Game and Simulation -- 2.1 Description of the Game -- 2.2 Optimization Model -- 2.3 Parameter Settings -- 2.4 Outline of the Gaming Experiment -- 3 Results -- 3.1 Preliminary Experiments -- 3.2 Results of the Experiments -- 4 Conclusions -- References -- Agent-Based Gaming for Two-Sided Electricity Markets -- 1 Introduction -- 2 Research Background -- 3 Research Objectives -- 3.1 Analysis of Market Structure Which Brings About Energy Transition -- 3.2 Comparative Analysis of Decision-Making Structures -- 4 Energy Transition Gaming Model -- 5 Model Outline -- 6 Results and Discussion -- 7 Conclusion -- References -- Using Role-Play Game for Active Learning to Solve Water Inequity -- 1 Introduction -- 2 Conceptual Framework and Methodology -- 3 Water-Sharing Role-Play Game -- 3.1 Predefined Scenarios -- 3.2 Game Settings -- 4 Results -- 5 Conclusions and Discussion -- References -- Part IV: S&amp -- G in Disaster Management. Gaming Simulation as a Tool of Problem-Based Learning for  University Disaster Education. EBL202103 XX SzGeCERN BOOK Soranastaporn, Songsri Kanegae, Hidehiko Dumrongrojwatthana, Pongchai Chaisanit, Settachai Rizzi, Paola Dumblekar, Vinod https://cds.cern.ch/auth.py?r=EBLIB_P_5939515 ebook n 202110 202103 21 PUBLIC https://catalogue.library.cern/legacy/2755794 BOOK MIGRATED 2755771 SzGeCERN 20210421184208.0 9783030291969 electronic version electronic version 9783030291952 print version oai:cds.cern.ch:2755771 cerncds:BOOK EBL 5927976 eng RC856.A2 .C557 2019 610.28 Cliquet Jr, Alberto Biomedical engineering systems and technologies 11th international joint conference, BIOSTECH 2018, Funchal, Madeira, Portugal, January 19-21, 2018, revised selected papers Cham Springer International Publishing AG 2019 544 p ebook Communications in computer and information science 1024 Intro -- Preface -- Organization -- Contents -- Biomedical Electronics and Devices -- Fiber Bragg Based Sensors for Foot Plantar Pressure Analysis -- Abstract -- 1 Introduction -- 2 System Requirements and Insole Production -- 2.1 Foot Plantar Pressure Overview -- 2.2 Insole Development -- 2.3 Experimental Protocols -- 3 SOF-FBG-Based Instrumented Insole -- 4 POF-FBG-Based Instrumented Insole -- 5 Conclusions -- Acknowledgments -- References -- A New Compact Optical System Proposal and Image Quality Comparison Against Other Affordable Non-mydriatic Fundus Cameras -- 1 Introduction -- 1.1 Diabetic Retinopathy -- 1.2 Fundus Camera -- 1.3 Optical Principles -- 1.4 Related Work -- 2 Compact System Design -- 2.1 Eye Model -- 2.2 Illumination Path -- 2.3 Imaging Path -- 2.4 Polarizers -- 2.5 Imaging Path for Eyes with Refractive Errors -- 2.6 Mechanical Prototyping -- 2.7 Complete System Designed -- 3 Handheld Devices Comparison -- 3.1 Field-of-View -- 3.2 Eye Model Photos -- 3.3 Retinal Illumination -- 4 Conclusions -- References -- Design and Optimization of an Open Configuration Microfluidic Device for Clinical Diagnostics -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Experimental Procedure -- 2.2 Numerical Methods -- 3 Results and Discussion -- 3.1 Selection of the Working Materials for the Transport Section: The Role of Wettability and Surface Contamination -- 3.2 Basic Dimensioning of the Size and Position of the Electrodes -- 3.3 Optimization of the Chip Configuration -- 4 Conclusions -- Acknowledgements -- References -- Bioimaging -- Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract -- 1 Introduction -- 2 Related Work -- 3 Material -- 3.1 Oral Cavity (OC) -- 3.2 Vocal Cords (VC). 3.3 Image Quality and Artifact Occurrence -- 4 Methods -- 4.1 Experimental Setup -- 4.2 Training of the Patch Classifier -- 4.3 Whole Image Classification with Activation Maps -- 4.4 Preprocessing of the Image Classifier -- 4.5 Training of the Whole Image Classifier -- 5 Results -- 6 Discussion -- 7 Summary -- References -- Min-Cut Segmentation of Retinal OCT Images -- 1 Introduction -- 2 Background -- 2.1 The Graph-Cut Method -- 2.2 Segmentation of Retinal Layers -- 3 The Proposed Method -- 3.1 Pre-processing -- 3.2 Graph Formulation -- 3.3 ILM and IS-OS Segmentation -- 3.4 RPE and NFL-GCL Segmentation -- 3.5 OS and IPL to ONL Segmentation -- 3.6 Avoiding the Cortical Vitreous -- 4 Experimental Results -- 5 Conclusions -- References -- An Optimized Method for 3D Body Scanning Applications Based on KinectFusion -- 1 Introduction -- 2 KinectFusion Algorithm -- 3 Optimized Body Scanner -- 4 Experimental Results -- 5 Conclusions -- References -- Going Deeper into Colorectal Cancer Histopathology -- 1 Introduction -- 2 Materials and Methods -- 2.1 Image Dataset -- 2.2 Convolutional Neural Network: Architecture and Training Paradigm -- 2.3 Transfer Learning from Pre-trained CNN -- 3 Results and Discussion -- 4 Exploitation and Visualisation -- 5 Conclusions -- References -- A Convolutional Neural Network for Spot Detection in Microscopy Images -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Methodology -- 2.2 Detection of Spots in Test Images -- 2.3 Synthetic Datasets and Evaluation Criteria -- 3 Results -- 4 Statistical Significant Test -- 5 Conclusions -- Acknowledgements -- References -- Bioinformatics Models, Methods and Algorithms -- Inferring the Synaptical Weights of Leaky Integrate and Fire Asynchronous Neural Networks: Modelled as Timed Automata -- 1 Introduction -- 2 Preliminaries -- 2.1 Timed Automata. 2.2 Temporal Logics and Model Checking -- 3 Leaky Integrate and Fire Model and Mapping to Timed Automata -- 4 Parameter Inference -- 5 Related Work -- 6 Conclusion -- References -- Formal Neuron Models: Delays Offer a Simplified Dendritic Integration for Free -- 1 Introduction -- 2 Static Description of a Neuron -- 3 Neuron Dynamics -- 4 Reduction Theorem -- 5 From Reduction to Normalization -- 6 Conclusion -- A Appendices -- A.1 Induction Lemmas and Proofs -- A.2 Proof of Theorem1 -- A.3 Proof of Lemma1 -- A.4 Proof of Commutativity Lemma2 -- A.5 Proof of Commutativity Lemma3 -- References -- Discovering Trends in Environmental Time-Series with Supervised Classification of Metatranscriptomic Reads and Empirical Mode Decomposition -- 1 Introduction -- 2 Biological Problem -- 3 Biological Interpretation and Validation -- 3.1 Each Host Group Exhibits a Different Diel Pattern -- 3.2 The Population Structure Shows Different Viral Groups -- 3.3 Identifying Gene Networks Responsive to Viral Infection -- 4 Methods -- 4.1 Training Set Generation -- 4.2 Feature Generation -- 4.3 The SVM-based Model -- 4.4 Model Training, Parameter Optimization and Validation -- 4.5 Classification of Sequences Extracted from the Metatranscriptome -- 4.6 Kegg Orthology (KO) Analysis -- 4.7 Empirical Mode Decomposition -- 4.8 Empirical Mode Decomposition Validation -- 5 Conclusions -- 6 Data Availability -- References -- Health Informatics -- How to Realize Device Interoperability and Information Security in mHealth Applications -- 1 Introduction -- 2 Design of an mHealth system -- 3 Application Scenario -- 3.1 The Vitalograph COPD-6 BT -- 3.2 The ChronicOnline App -- 3.3 The ECHO Back-End -- 4 Related Work -- 5 Interoperability and Security Reflections -- 5.1 The Internal Data Model -- 5.2 Overview of the PMP -- 6 Design of mHealth PMP Resources. 6.1 The Dialog Box Resource -- 6.2 The Metering Resource -- 6.3 The Location Resource -- 6.4 The Secure Database Resource -- 6.5 The Connector Resource -- 6.6 The Unsealer Resource -- 6.7 Revised ChronicOnline App -- 7 Assessment -- 8 Conclusion and Outlook -- References -- Evaluation of Power-Based Stair Climb Performance via Inertial Measurement Units -- 1 Introduction -- 2 State of the Art -- 2.1 Classification of Stair Climbing - Machine Learning -- 2.2 Power Calculation -- 3 Biomechanics of Stair Climbing -- 4 Study Design -- 5 Signal Interpretation -- 6 Stair Climb Detection -- 6.1 Feature Extraction -- 6.2 Sliding Window and Classifier -- 6.3 Post-Filtering of Classified Activities -- 7 Calculation of Stair Climb Power -- 7.1 Average Power -- 7.2 Peak Power -- 8 Evaluation -- 8.1 Recognition of Stair Ascent -- 8.2 Calculation of Stair Climb Power -- 8.3 Medical Sensitivity -- 9 Suitability for Home-Assessments -- 10 Discussion -- 11 Conclusion -- References -- Considerations on the Usability of SClínico -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Research Plan -- 3.2 Assessment Instruments and Methods -- 3.3 Participants -- 3.4 Regulatory, Ethical and Data Protection Aspects -- 4 Results -- 4.1 Results of the Exploratory Assessment -- 4.2 Usability Assessment Using PSSUQ -- 4.3 Results of the Focus Group -- 5 Discussion -- 6 Conclusion -- Acknowledgments -- References -- Interoperability in Pervasive Health: A Systematic Review -- Abstract -- 1 Background -- 2 Methods -- 2.1 Study Design -- 2.2 Data Sources and Searches -- 2.3 Inclusion and Exclusion Criteria -- 2.4 Study Selection -- 3 Results -- 3.1 Characteristics of the Studies -- 3.2 Target Users -- 3.3 Interoperability -- 3.4 Interoperability Standards -- 3.5 Validation -- 4 Conclusion -- References -- Coping with "Exceptional" Patients in META-GLARE -- Abstract. 1 Introduction -- 1.1 Goals and Original Contributions -- 1.2 Summary of the Paper -- 2 Related Works -- 3 A General View of the Behavior of Our Framework -- 3.1 Exceptions and Interactions -- 3.2 Management Strategy -- 3.3 Case Study -- 4 Knowledge-Based Reasoning Supports -- 4.1 Ontological Knowledge -- 4.2 Goal-Based Planning -- 4.3 CIG Navigation Facilities -- 4.4 Temporal Reasoning -- 5 Management of Interactions and Exceptions -- 5.1 Interaction Management Options -- 5.2 Mixed-Initiative Management of Interactions -- 5.3 Management of Exceptions -- 6 Architecture for the Concurrent Execution of Multiple CIGs -- 6.1 The Architecture -- 6.2 The General Manager Module -- 6.3 The Executor Module -- 6.4 The Trigger Manager -- 7 Our System in Action: Managing the Case Study -- 8 Conclusions -- Acknowledgements -- References -- A Multiagent-Based Model for Epidemic Disease Monitoring in DR Congo -- Abstract -- 1 Introduction -- 2 Issues -- 3 Related Work -- 4 Health System in DRC -- 4.1 Administrative Structures -- 4.2 Structure Dependencies -- 4.3 Collection and Response for Epidemic Surveillance -- 4.4 Data Collection and Epidemics Response -- 5 Individual-Centered Models -- 5.1 Step 1: Agents' Tasks and Knowledge: The Internal Behavior -- 5.2 Step 2: Agent's Sharing Data and Interactions -- 5.3 Step 3: Collaborative Tasks of Agents -- 5.4 Overview of Agents in Process Analysis -- 6 Simulation: Cholera Case Study -- 6.1 Cholera: A Plague Still Causing Major Epidemics -- 6.2 Data Collection -- 6.3 Methods -- 6.4 Results -- 7 Conclusions -- References -- Predictive Modeling of Emerging Antibiotic Resistance Trends -- 1 Introduction -- 1.1 Background on the Antibiotic Resistance Threat -- 1.2 Previous Antibiogram Analytics -- 1.3 Our Contribution -- 2 Dataset and Methodologies -- 2.1 The Massachusetts Statewide Antibiogram Dataset. 2.2 Global Methodology for Predicting Susceptibility. EBL202103 XX SzGeCERN BOOK Wiebe, Sheldon Anderson, Paul Saggio, Giovanni Zwiggelaar, Reyer Gamboa, Hugo Fred, Ana Bermúdez i Badia, Sergi https://cds.cern.ch/auth.py?r=EBLIB_P_5927976 ebook n 202110 202103 21 PUBLIC https://catalogue.library.cern/legacy/2755771 BOOK MIGRATED 2755717 SzGeCERN 20210421184211.0 9783030230814 electronic version electronic version 9783030230807 print version oai:cds.cern.ch:2755717 cerncds:BOOK EBL 5927222 eng QD561 .A675 2019 541.37199999999996 Itoh, Toshiyuki Application of ionic liquids in biotechnology Cham Springer International Publishing AG 2019 343 p ebook Advances in biochemical engineering/biotechnology 168 Intro -- Preface -- A Short Glance into the Past -- Today and Future -- References -- Contents -- Ionic Liquids in Bioseparation Processes -- 1 Introduction -- 2 ILs in Liquid-Liquid Bioseparation Processes -- 2.1 Water-Immiscible ILs in Liquid-Liquid Extractions -- 2.2 Water-Soluble ILs in Liquid-Liquid Extractions -- 3 ILs in Solid-Liquid Bioseparation Processes -- 4 Conclusions -- References -- Natural Deep Eutectic Solvents and Their Applications in Biotechnology -- 1 Green Solvents: ILs, DESs, and NADESs -- 2 An Introduction to NADESs: Formation, Structure, and Roles -- 2.1 Preparation of NADESs -- 2.2 Structure of NADESs -- 2.3 Roles of NADESs in Organisms -- 3 Physicochemical Properties of NADESs -- 3.1 Thermal Behavior -- 3.2 Density -- 3.3 Viscosity -- 3.4 Surface Tension -- 3.5 Refractive Index -- 3.6 Conductivity -- 3.7 Polarity -- 3.8 Solubilizing Power -- 3.9 Reactivity of Glycerol in ChCl/Glycerol DES -- 3.10 Effect of Water -- 4 Toxicity and Biodegradability of NADESs -- 4.1 Cytotoxicity -- 4.2 Biodegradability -- 5 Applications of NADESs in Biotechnology -- 5.1 Use of NADESs for Biocatalysis -- 5.1.1 Effect of NADESs on Enzyme Activity and Stability -- 5.1.2 Effect of NADESs on Whole-Cell Biocatalysis -- 5.2 Use of NADESs for Extraction -- 5.2.1 Extraction of Pigments from Flowers -- 5.2.2 Extraction of Rutin -- 5.2.3 Extraction of Other Phenolic Compounds -- 5.2.4 Extraction of Gluten -- 5.2.5 Deacidification of Crude Palm Oil -- 5.3 Use of NADESs for Biomass Pretreatment -- 5.4 Use of NADESs for Clinical Therapy -- 5.5 Use of NADESs for Preparation of Nutraceutical/Pharmaceutical Products -- 5.6 Use of NADESs for Electrochemical Detection of Bioactive Materials -- 6 Concluding Remarks -- References -- Ionic Liquid Pretreatment of Lignocellulosic Biomass for Enhanced Enzymatic Delignification -- 1 Introduction. 2 IL Pretreatment of Wood Biomass Followed by Enzymatic Delignification: A One-Step Process -- 2.1 IL Pretreatment of Wood Biomass for Enhanced Enzymatic Delignification -- 2.2 Effect of IL Pretreatment on Enzymatic Delignification -- 2.3 Characterization of Untreated and Treated Materials -- 3 IL Pretreatment of Lignocellulosic Biomass Followed by Enzymatic Delignification of Recovered Biomass: A Two-Step Process -- 3.1 IL Pretreatment of Wood Biomass Before Enzymatic Delignification: A Two-Step Process -- 3.1.1 Chemical Composition of Untreated and IL-Treated Wood Materials -- 3.1.2 Enzymatic Delignification of RWMs After IL Treatment -- 3.1.3 Characterization of Treated and Untreated Wood Fibers -- 3.2 IL Pretreatment of Oil Palm Biomass Before Enzymatic Delignification -- 3.2.1 Effect of Treatment Temperature and Time on IL OPFB Pretreatment -- 3.2.2 Enzymatic Delignification of IL-Treated and Untreated OPFB -- 3.2.3 Recycling of ILs -- 4 Conclusions -- References -- Activation of Lipase-Catalyzed Reactions Using Ionic Liquids for Organic Synthesis -- 1 Introduction -- 2 Typical Lipase-Catalyzed Reactions Using IL Solvent Systems -- 2.1 Lipase-Catalyzed Enantioselective Transesterification of Secondary Alcohols Using an IL Solvent System -- 2.2 Lipase-Catalyzed Transesterification of Secondary Alcohols in an IL Under Reduced Pressure Conditions -- 2.3 Use of Unique Solubility of ILs for Lipase-Catalyzed Regio-Selective Transesterification of Sugar Derivatives -- 2.4 Lipase-Catalyzed Reactions for Biodiesel Oil Production -- 2.5 DKR Reaction Using a Combination of Transition Metal Catalyst in the Lipase-Catalyzed Reaction -- 2.6 Baeyer-Villiger Oxidation Using a Combination of Hydrogen Peroxide and Lipase-Catalyzed Reaction -- 3 Improved Performance of Lipase-Catalyzed Reactions by IL-Coated Immobilization. 4 Future Perspective of Using ILs for Enzymatic Reactions -- 4.1 Stabilizing Ability of ILs Toward Enzymes -- 4.2 Importance of ILs as Enzyme Activating Agent -- 5 Conclusion -- References -- Whole-Cell Biocatalysis in Ionic Liquids -- 1 Introduction -- 2 Characteristics of Whole-Cell Catalysts in Ionic Liquids -- 2.1 Interactions of Ionic Liquids with Cells in Whole-Cell Biocatalysis -- 2.1.1 Toxicity Toward Microorganism Cells -- 2.1.2 Effects on Cell Membrane Permeability -- 2.2 Effect of Ionic Liquids on Enzymes Within Microbial Cells -- 2.3 Effect of Ionic Liquids on Substrate and Product Partition Coefficients -- 3 Whole-Cell Catalyzed Transformations in Ionic Liquid-Containing Systems -- 3.1 Reduction Reactions -- 3.2 Oxidation Reactions -- 3.3 Hydrolysis Reactions -- 3.4 Transesterification Reactions -- 4 Conclusions and Perspective -- References -- Biopolymer-Based Composite Materials Prepared Using Ionic Liquids -- 1 Introduction -- 2 Dissolution of Biopolymers Using ILs -- 2.1 Polysaccharides -- 2.1.1 Cellulose -- 2.1.2 Chitin/Chitosan -- 2.1.3 Glycosaminoglycans -- 2.1.4 Other Polysaccharides -- 2.2 Proteins -- 2.3 Lignocellulose -- 2.4 Effects of Co-solvents for Biopolymer Dissolution -- 3 Regeneration of Biopolymers -- 3.1 Anti-solvents -- 3.1.1 Anti-solvents for Polysaccharides Dissolved in ILs -- 3.1.2 Anti-solvents for Proteins Dissolved in ILs -- 3.1.3 Anti-solvents for Lignocellulose Dissolved in ILs -- 4 Processing to Prepare Biopolymer-Based Composite Materials -- 4.1 Pretreatment of Biopolymer Solutions Before Regeneration -- 4.2 Processing to Prepare Various Shapes -- 4.2.1 Molded Shapes -- 4.2.2 Films and Membranes -- 4.2.3 Fibers -- 4.2.4 Beads -- 4.3 Drying Methods -- 5 Biopolymer-Based Composite Materials -- 5.1 Biopolymer Blends -- 5.1.1 Cellulose/Polysaccharide Blend Materials -- 5.1.2 Cellulose/Protein Blend Materials. 5.1.3 Wood Component-Based Blend Materials -- 5.1.4 Other Biopolymer-Based Blend Materials -- 5.2 Cellulose-Based Composites -- 5.3 Blended Biopolymer-Based Composites -- 6 Applications of Biopolymer-Based Composite Materials -- 6.1 Applications as Adsorbents -- 6.2 Biomedical Applications -- 6.3 Other Applications -- 7 Conclusions and Prospects -- References -- Advances in Processing Chitin as a Promising Biomaterial from Ionic Liquids -- 1 Introduction -- 1.1 `Plastic´ Problem -- 1.2 Going Back in Time? -- 1.3 Ionic Liquids to Unlock Biopolymers as a Source for New Biomaterials -- 1.4 Chitin as a Raw Polymer for Biomaterials -- 2 Chemical and Biomedical Properties of IL-Extracted Chitin -- 2.1 Biocompatibility -- 2.2 Cytotoxicity -- 2.3 Wound Healing Model -- 2.4 Histological Evaluation -- 2.5 Antibacterial Properties -- 3 Case Studies -- 3.1 Chitin Films for Drug Delivery -- 3.2 Chitin Beads for Drug Delivery -- 3.3 Chitin Nanomaterials -- 4 Outlook -- References -- Synthesis of Ionic Liquids Originated from Natural Products -- 1 Introduction -- 2 Why Bio-Derived? -- 3 Carboxylate Anions as Potential Components of Ionic Liquids -- 4 Amino Acid Ionic Liquids -- 5 Choline-Based Salts -- 5.1 Cholinium Cation -- 5.2 Cholinium Amino Acid ILs -- 5.3 Cholinium Dihydrogen Phosphate -- 6 Future Aspects -- 7 Conclusions -- References -- Ionic Liquids as Stabilization and Refolding Additives and Solvents for Proteins -- 1 Introduction -- 2 Effect of ILs on the Intermolecular Interactions of Proteins -- 3 ILs as Refolding Additives -- 3.1 Cosolute Systems with Urea-Induced Solubilization and Refolding -- 3.2 Aggregation Inhibition -- 3.3 Use of Vesicle Systems -- 4 Hydrated ILs as Refolding Fields -- 5 Concluding Remarks -- References -- Extraction and Isolation of Natural Organic Compounds from Plant Leaves Using Ionic Liquids -- 1 Introduction. 2 Shikimic Acid from Ginkgo Leaves -- 3 Caffeoylquinic Acid Derivatives from Sweet Potato Leaves -- 4 Citral from Lemon Myrtle Leaves -- 5 Conclusions -- References -- Environmental Concerns Regarding Ionic Liquids in Biotechnological Applications -- 1 Introduction -- 2 Inhibitory and Toxic Effects of ILs on Bioprocesses -- 2.1 Indirect Effects of ILs -- 2.2 Direct Effects of ILs -- 2.3 Suggested Mechanisms of IL Toxicity -- 2.4 Suggested Methods to Overcome IL Toxicity -- 3 Concerns About Spent and Discharged ILs -- 3.1 Concerns About Toxicity -- 3.1.1 Toxicity in Enzymatic and Microbial Activities -- Toxic Effects of ILs on Enzyme Activity -- Toxic Effects of ILs on Bacteria, Yeasts, and Fungi -- Toxic Effects of ILs on Animal Cell Lines -- Toxic Effects of ILs on Microalgae -- Toxic Effects of ILs on Invertebrates -- Toxic Effects of ILs on Vertebrates -- Phytotoxicity of ILs -- 3.2 QSAR Prediction of IL Toxicity -- 3.2.1 Various QSAR Approaches -- 3.2.2 LFER Model -- 3.2.3 Comprehensive Prediction Model -- 4 Concerns Regarding Biodegradation -- 4.1 Biodegradation of Nonfunctionalized ILs -- 4.2 Biodegradation of Ether-Functionalized, Ester-Functionalized, and Amide-Functionalized ILs -- 4.3 Biodegradation of ILs by Microbiota or Axenic Culture -- 4.4 Bioaccumulation of ILs -- 5 Adsorption, Mobility, and Adsorptive Removal -- 6 Concluding Remarks and Suggestions for Selecting ILs for Biotechnological Applications -- References -- Index. EBL202103 XX SzGeCERN BOOK Koo, Yoon-Mo https://cds.cern.ch/auth.py?r=EBLIB_P_5927222 ebook n 202110 202103 21 PUBLIC https://catalogue.library.cern/legacy/2755717 BOOK MIGRATED 2755716 SzGeCERN 20210421184211.0 9783030209124 electronic version electronic version 9783030209117 print version oai:cds.cern.ch:2755716 cerncds:BOOK EBL 5927202 eng Q335 .A785 2019 6.3 Rutkowski, Leszek Artificial intelligence and soft computing 18th international conference, ICAISC 2019, Zakopane, Poland, June 16-20, 2019, proceedings, part I Cham Springer International Publishing AG 2019 703 p ebook Lecture notes in computer science 11508 Intro -- Preface -- Organization -- Contents -- Part I -- Contents -- Part II -- Neural Networks and Their Applications -- SpikeletFCN: Counting Spikelets from Infield Wheat Crop Images Using Fully Convolutional Networks -- 1 Introduction -- 2 Related Work -- 2.1 Counting in Plant Phenotyping -- 3 Spikelets Counting Using SpikeletFCN -- 3.1 Problem Statement -- 3.2 Datasets -- 3.3 SpikeletFCN Architecture -- 3.4 Experimental Set Up -- 4 Results -- 5 Conclusion -- References -- Modifications of the Givens Training Algorithm for Artificial Neural Networks -- 1 Introduction -- 2 The Classic Givens Algorithm -- 2.1 Rotation Basics -- 2.2 QR Decomposition Based on Rotations -- 2.3 Weights Update -- 3 Modifications of the Givens Algorithm -- 3.1 Retry Worst Samples -- 3.2 Skip Best Samples -- 3.3 Epoch Weight Update -- 4 Simulation Results -- 4.1 Single Variable Function Approximation - Logistic Curve -- 4.2 Two Variables Function Approximation - Hang -- 4.3 Two Variables Function Approximation - Sinc -- 4.4 Classification Problem - Two Spirals -- 5 Conclusions -- References -- Deep Neural Networks Applied to the Dynamic Helper System in a GPGPU -- 1 Introduction -- 2 The Dynamic Helper System -- 3 Deep Neural Networks -- 3.1 DNN in a GPU -- 4 Computational Experiments -- 5 Conclusion and Future Work -- References -- Combining Neural and Knowledge-Based Approaches to Named Entity Recognition in Polish -- 1 Introduction -- 1.1 Prior Work -- 1.2 Contributions -- 2 Problem Description and System Architecture -- 2.1 Problem Description -- 2.2 System Architecture -- 2.3 Feature Extractors -- 3 Wikipedia Integration -- 3.1 Data Set Preparation -- 3.2 Entity Linking Feature Module -- 4 System Evaluation -- 5 Conclusions -- References -- Sensitivity Analysis of the Neural Networks Randomized Learning -- 1 Introduction -- 2 Randomized Learning Algorithms. 3 Simulation Study -- 4 Conclusion -- References -- On Approximating Metric Nearness Through Deep Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset and Technology -- 3.2 Evaluation -- 3.3 Models -- 4 Results -- 4.1 Image Classification Models -- 4.2 Autoencoders -- 4.3 Stack of Convolutions -- 5 Discussion -- 6 Conclusion -- References -- Smart Well Data Generation via Boundary-Seeking Deep Convolutional Generative Adversarial Networks -- 1 Introduction -- 2 Smart Wells -- 3 Reservoir Simulation -- 4 Literature Review -- 5 Generative Adversarial Networks -- 6 Methodology -- 7 Case Study -- 7.1 Dataset -- 7.2 Model Construction -- 8 Training and Results -- 9 Conclusions -- References -- Resilient Environmental Monitoring Utilizing a Machine Learning Approach -- 1 Introduction -- 2 Approach -- 2.1 Data Acquisition -- 2.2 Model Learning -- 3 Experiments -- 3.1 Compensation Capabilities -- 3.2 Forecasting Robustness -- 3.3 Learning a Virtual Sensor -- 4 Conclusion -- References -- Study of Learning Ability in Profit Sharing Using Convolutional Neural Network -- 1 Introduction -- 2 Profit Sharing Using Convolutional Neural Network -- 2.1 Outline -- 2.2 Structure -- 2.3 Learning -- 3 Computer Experiment Results -- 3.1 Task -- 3.2 Experimental Conditions -- 3.3 Transition of Obtained Scores -- 4 Conclusions -- References -- Neural Net Model Predictive Controller for Adaptive Active Vibration Suppression of an Unknown System -- 1 Introduction -- 1.1 Vibration Suppression -- 1.2 Soft-Computing-Based Adaptive Control Systems -- 1.3 Contribution and Organization of the Article -- 2 The Method -- 2.1 Problem Assumptions -- 2.2 Algorithm Design -- 2.3 Algorithm Schematic -- 2.4 Controller -- 2.5 Adaptation Control -- 2.6 PD Controller -- 3 Problem Definition and Simulation Setup -- 4 Results -- 5 Conclusions -- References. Robust Training of Radial Basis Function Neural Networks -- 1 Introduction -- 2 Radial Basis Function Neural Networks -- 2.1 Available Robust Approaches to Training of RBF Networks -- 3 A Robust Training of RBF Networks Based on Backward Instance Selection -- 4 Numerical Applications -- 4.1 A Simulated Dataset -- 4.2 Real Datasets -- 5 Conclusions -- References -- Sequential Data Mining of Network Traffic in URL Logs -- 1 Introduction -- 2 Data Preprocessing -- 3 Experiments -- 4 Conclusion -- References -- On Learning and Convergence of RBF Networks in Regression Estimation and Classification -- 1 Introduction -- 2 Nonlinear Function Learning -- 3 RBF Classification Rules -- 4 Convergence -- 4.1 Convergence Results -- 4.2 Outlines of Proofs -- References -- Application of Deep Neural Networks to Music Composition Based on MIDI Datasets and Graphical Representation -- 1 Introduction -- 2 Datasets -- 2.1 Our Approach to Data Representation -- 2.2 Qualities of Selected Datasets -- 3 Method and Summary of Our Approach -- 4 Results -- 4.1 MAESTRO Dataset -- 4.2 Doug McKenzie MIDI Dataset -- 4.3 Result Summary -- 5 Conclusions and Further Work -- References -- Dense Multi-focus Fusion Net: A Deep Unsupervised Convolutional Network for Multi-focus Image Fusion -- 1 Introduction -- 2 Proposed Method -- 2.1 Network Design -- 2.2 Implementation Details -- 2.3 Loss Function -- 3 Experimental Results -- 3.1 Comparison with Other Methods -- 3.2 Application to Multi-exposure Fusion -- 4 Conclusion -- References -- Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection -- 1 Introduction -- 2 Problem Description -- 3 Method Description -- 3.1 Parasite Dataset -- 3.2 Fully Convolutional Network Model -- 3.3 Data Augmentation -- 4 Experimental Results -- 5 Conclusion -- References. Application of Spiking Neural Networks to Fashion Classification -- 1 Introduction -- 2 Spiking Neuron Models -- 2.1 Izhikevich Neuron Model -- 2.2 Leaky Integrate Fire Neuron Model (LIF) -- 3 Methods of Encoding -- 4 Methods of Learning -- 5 Experiments and Observations -- 5.1 Network Architecture -- 5.2 Fashion-MNIST Dataset -- 5.3 Learning Process and Results -- 6 Conclusions -- References -- Text Language Identification Using Attention-Based Recurrent Neural Networks -- 1 Introduction -- 2 Previous Work -- 3 Proposed Method -- 4 Experimental Studies -- 4.1 Datasets -- 4.2 Experimental Setup -- 4.3 Results -- 5 Conclusion -- References -- Filter Pruning for Efficient Transfer Learning in Deep Convolutional Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 4 Experimental Results -- 4.1 Setup -- 4.2 Results -- 5 Conclusion -- References -- Regularized Learning of Neural Network with Application to Sparse PCA -- 1 Introduction and Motivation -- 2 Proposed Solution -- 2.1 Neural Network with Sparse Weights -- 2.2 Sklearn SparsePCA -- 3 Experiments -- 4 Summary -- References -- Trimmed Robust Loss Function for Training Deep Neural Networks with Label Noise -- 1 Introduction -- 2 Robust Learning and Label Noise -- 2.1 Dealing with Outliers -- 2.2 Learning from Noisy Labels -- 3 New Robust Loss Function -- 3.1 LTA Error Criterion -- 3.2 Categorical Cross-Entropy -- 3.3 Trimmed Categorical Cross-Entropy -- 4 Experimental Results -- 4.1 Testing Methodology -- 4.2 Simulation Results -- 5 Conclusions -- References -- On Proper Designing of Deep Structures for Image Classification -- 1 Introduction -- 2 Dataset and Architectures -- 2.1 Tiny ImageNet Dataset -- 2.2 Pre-processing -- 2.3 Baseline Architecture -- 2.4 Modifications of the Baseline Architecture -- 3 Methods -- 3.1 Objective Function -- 3.2 Weight Initialization. 3.3 Optimization Algorithm -- 3.4 Network Regularization -- 3.5 Learning Configuration -- 4 Experimental Results -- 5 Conclusions -- References -- Constructive Cascade Learning Algorithm for Fully Connected Networks -- 1 Introduction -- 2 The Cascade Neural Networks and the Learning Algorithms -- 2.1 Popular Learning Algorithms -- 3 The Hybrid Constructive Learning Algorithm -- 3.1 Initialization -- 3.2 Fully Tuning -- 4 Experiment -- 5 Conclusion -- References -- Generative Adversarial Networks: Recent Developments -- 1 Introduction -- 2 Generative Adversarial Networks -- 3 Conditional Generation -- 4 Image to Image Translation -- 5 Feature Extraction via Learning Hidden Representation -- 6 Regularized Learning of the Discriminator -- 7 Conclusion -- References -- Fuzzy Systems and Their Applications -- Fuzzy Modeling in the Task of Control Cartographic Visualization -- 1 Introduction -- 2 The Overview of Known Solutions -- 3 Fuzzy Image Model of the Utility Function -- 4 Transformation of Experience -- 5 Experimental Study of Visualization Method -- 6 Conclusion -- References -- Method for Generalization of Fuzzy Sets -- 1 Introduction -- 2 Parsimoniously Lifting a Fuzzy Thematic Cluster in a Taxonomy: Model and Method -- 3 Structuring and Generalizing a Collection of Research Papers -- 3.1 Scholarly Text Collection -- 3.2 DST Taxonomy -- 3.3 Evaluation of Relevance Between Texts and Key Phrases -- 3.4 Defining and Computing Fuzzy Clusters of Taxonomy Topics -- 3.5 Results of Lifting Clusters L, R, and C Within DST -- 3.6 Making Conclusions -- References -- The 2-Additive Choquet Integral of Bi-capacities -- 1 Introduction -- 2 Bi-capacities -- 2.1 Bi-capacities Based on Ter-Element Sets -- 2.2 The Order Relation on T -- 3 The Bipolar Mbius Transforms -- 4 k-Additivity of Bi-capacities Based on Ter-Element Sets. 5 The 2-Additive Choquet Integral of Bi-capacities. EBL202103 XX SzGeCERN EBL Soft computing-Congresses BOOK Scherer, Rafał Korytkowski, Marcin Pedrycz, Witold Tadeusiewicz, Ryszard Zurada, Jacek M https://cds.cern.ch/auth.py?r=EBLIB_P_5927202 ebook n 202110 202103 21 PUBLIC https://catalogue.library.cern/legacy/2755716 BOOK MIGRATED 2755706 SzGeCERN 20210421184212.0 9783030177058 electronic version electronic version 9783030177041 print version oai:cds.cern.ch:2755706 cerncds:BOOK EBL 5927062 eng QA76.76.A65 .B637 2019 4.6779999999999999 Bodrunova, Svetlana S Internet science INSCI 2018 international workshops, St Petersburg, Russia, October 24-26, 2018, revised selected papers Cham Springer International Publishing AG 2019 289 p ebook Lecture notes in computer science 11551 Intro -- Preface -- Organization -- Contents -- Part I Detecting Social Problems in Online Content: An International Workshop -- 1 Major Challenges of Harmful Content Detection -- 2 Main Workshop Contributions -- References -- Methodological Challenges for Detecting Interethnic Hostility on Social Media -- Abstract -- 1 Introduction -- 2 Data -- 3 Defining Ethnicity and Texts on Ethnicity -- 4 Strengths and Weaknesses of Different Approaches to the Detection of Ethnic Representations in User Texts -- 5 Solutions Implemented in TopicMiner -- 6 Conclusion -- Acknowledgements -- References -- Agglomerative Method for Texts Clustering -- 1 Introduction -- 2 ``Single Linkage'' Method -- 3 Approximation-Evaluation Test -- 4 Clustering Process Stability Problem -- 5 Retrieval of the Harmful Content -- 6 Conclusion -- References -- User Ethnicity and Gender as Predictors of Attitudes to Ethnic Groups in Social Media Texts -- Abstract -- 1 Introduction -- 2 Hypothesis -- 3 Data -- 4 Inter-coder Agreement -- 5 Methods and Results -- 6 Conclusion -- Acknowledgements -- References -- Holistic Monitoring and Analysis of Healthcare Processes Through Public Internet Data Collection -- Abstract -- 1 Introduction and Related Works -- 2 Public Data Sources for Complex Healthcare Process Description -- 3 Experimental Study -- 3.1 Collection and Structuring of Medical Information from Public Internet Data -- 3.2 Cost Estimate of Treatment Based on Public Internet Data -- 4 Conclusion and Future Works -- Acknowledgements -- References -- "All these ...": Negative Opinion About People and "Pejorative Plural" in Russian -- Abstract -- 1 One Secondary Meaning of Grammatical Number in Russian -- 2 The Usages of Pejorative Plural in the Web Corpus -- 3 Co-occurrence of Pejorative Plural Forms. 3.1 Components of Noun Phrases of the Type raznye -A sidorovy-N 'Various Sidorovs' -- 3.2 Components of Quantificational Expressions with Pl.Pej -- 3.3 Some Constructions with Forms of Pejorative Plural -- 4 Conclusion -- References -- Detecting Pivotal Points in Social Conflicts via Topic Modeling of Twitter Content -- Abstract -- 1 Theoretical Framework -- 2 Case Description -- 3 Granger Test -- 3.1 Casual Relations Between Online and Offline Activities in the Case Study -- 4 Detecting Pivotal Points via Topic Modeling -- 4.1 The Method -- 5 Results -- 6 Conclusions -- Acknowledgements -- References -- Patterns of Emotional Argumentation in Twitter Discussions -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Sample and Method -- 4 Results -- 5 Discussion -- Acknowledgements -- References -- Part II CONVERSATIONS 2018: 2nd International Workshop on Chatbot Research and Design -- 1 Introduction -- 2 Paper Invitation and Review Process -- 3 Workshop Outcomes -- 4 Workshop Organization -- References -- Adapting a Conversational Text Generator for Online Chatbot Messaging -- 1 Introduction -- 1.1 Contribution -- 2 Conversational Agents with Bottery -- 2.1 Tracery and Generative Text -- 2.2 Bottery Agent Syntax -- 2.3 Adapting Bottery to Online Messaging Platforms -- 2.4 Advanced Messaging Features -- 3 Discussion -- 3.1 Future Work -- 3.2 Conclusions -- References -- Generating Responses Expressing Emotion in an Open-Domain Dialogue System -- 1 Introduction -- 2 Related Work -- 3 Seq2seq with Attention -- 4 Emotion Injection -- 4.1 Baseline Models -- 4.2 Proposed Models -- 5 Dataset -- 6 Experiments -- 6.1 Parameters Setup -- 6.2 Evaluation Metric -- 7 Results and Discussion -- 7.1 Result Analysis -- 7.2 Enc-att Model Visualization -- 7.3 Parameter Cost -- 8 Conclusion and Perspectives -- References. Measuring User Experience in Chatbots: An Approach to Interpersonal Communication Competence -- Abstract -- 1 Introduction -- 2 What Is the Recipe for a Successful Conversation? -- 3 How Can We Measure the Chatbot's ICC? -- 4 Conclusion and Future Directions -- 4.1 Future Directions -- References -- Assessing the Usability of a Chatbot for Mental Health Care -- 1 Introduction -- 1.1 Background -- 2 Aims -- 3 Inspire Support Hub and iHelpr -- 3.1 iHelpr -- 3.2 Inspire Support Hub -- 4 Related Work -- 4.1 Usability Questionnaires -- 4.2 Chatbot Usability Testing -- 5 Methods -- 5.1 Participants -- 5.2 Procedure -- 6 Results -- 6.1 SUS Scores -- 6.2 Chatbottest Questionnaire -- 7 Discussion -- 7.1 Final Recommendations -- 8 Conclusion -- References -- A Conversational Interface for Self-screening for ADHD in Adults -- 1 Introduction -- 1.1 Chatbots and Conversational Interfaces -- 1.2 Screening in Mental Health -- 2 The Chatbot ROB -- 3 Methods -- 4 Findings and Results -- 4.1 Comparing the Two Versions of the ASRS -- 4.2 Conversation and Fallback Messages -- 4.3 Experiences from Use of ROB -- 5 Discussion and Conclusions -- 5.1 Limitations and Future Work -- References -- Different Chatbots for Different Purposes: Towards a Typology of Chatbots to Understand Interaction Design -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Chatbots and Chatbot Interaction Design -- 2.2 Typologies -- 3 Research Objective -- 4 Research Method -- 5 Chatbot Typology -- 5.1 Dimension 1: Locus of Control -- 5.2 Dimension 2: Duration of Relation -- 5.3 A Two-Dimensional Typology -- 6 Analysing Interaction Design on the Basis of the Typology -- 6.1 Chatbots for Customer Support -- 6.2 Personal Assistant Chatbots -- 6.3 Content Curation Chatbots -- 6.4 Chatbots for Coaching -- 7 Classifying a Larger Set of Chatbots -- 8 Discussion -- Acknowledgement -- References. Chasing the Chatbots -- 1 Introduction -- 2 Chatbots Literature Overview -- 3 A Case Study Involving First-Time Users -- 4 Interaction and Design Questions -- 4.1 Appropriate Interaction Style -- 4.2 Appropriate Tasks -- 4.3 Towards Trustfulness -- 5 Discussions and Research Directions -- 6 Final Remarks -- References -- Chatbot Personalities Matters -- 1 Introduction -- 2 Background and Related Research -- 2.1 Anthropomorphism and Humanness -- 3 Design Methodology -- 3.1 Brand and User Group -- 3.2 Chatbot Personality Description -- 3.3 The Chatbot Prototype -- 4 Experiment Methodology -- 4.1 Experiment Setup -- 4.2 Data Collection: AttrakDiff -- 5 Results -- 6 Discussion and Limitations -- 7 Conclusions and Future Work -- References -- Part III The Future of Decentralized Governance: An International Workshop -- Introduction and Aims -- Workshop Summary -- 2.1 Blockchains and Governance -- 2.2 Secure Messaging and Privacy -- Outcomes and Reflections -- Decentralizing the Social Web -- 1 Introduction -- 2 Identity: The Foundation of the Social Web -- 3 Metadata: The Semantic Web Revisited -- 4 Transport: The Bits on the Wire -- 5 Lessons Learned -- 6 Next Steps: Blockchain Technology -- References -- Distributed Data Protection and Liability on Blockchains -- Abstract -- 1 Introduction -- 2 Defining Personal Data on the Blockchain -- 3 Architecture-Based Liability of Actors -- 4 Conclusions -- References -- Blockchain Revolution in Global Environmental Governance: Too Good to Be True? -- Abstract -- 1 Introduction -- 2 Blockchain Technologies in Environmental Governance: The Current State-of-Affairs -- 3 Barriers to Blockchain Adoption in Global Environmental Governance -- 4 Conclusion -- References -- Privacy and Social Movements -- 1 Introduction -- 2 User Needs -- 3 Tools for Better Privacy -- 4 Conclusion -- References. Part IV Internet as an Issue: An International Workshop on Government and Media Narratives -- Governing Through Imagination: Approaching Internet Governance in Authoritarian Contexts -- 1 Introduction -- 2 From Imagination to Governance and Back -- 3 Prospects and Challenges of Applying Imaginaries Framework to Studying Internet Governance -- 4 Conclusion -- References -- Imagining Internet in Contemporary Russia: An Attempt in Operationalization of Sociotechnical Imaginaries -- 1 Introduction -- 2 Data -- 3 Methodology -- 4 Dealing with Main Categories -- 5 Operationalization of the Social Imaginaries Theory -- 6 Conclusion -- References -- Actors to Be Distinguished: The Case of NGOs as Stakeholders of Russian Internet -- 1 Introduction -- 2 1990-th: The Melting Pot -- 3 2000-th: Business Becomes the Issue -- 4 2010-th: Here Comes the State -- 5 Analysis and Conclusion -- References -- Trying to Keep Bloggers Under Control: The Birth and Death of the "Bloggers Law" in Russia (2014-2017) -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Research Design and Methodology -- 4 Research Results -- 5 Conclusions and Discussions -- References -- The Internet is Plural: The Sociopolitical Shaping of the Russian and Korean "Internets" -- Abstract -- 1 Introduction -- 2 Russia and Korea: How They Became Wired -- 3 The PC as a "Study Tool" -- 4 The Internet as a Sign System -- 5 Toward the De-Westernizing Study of Internets -- References -- Author Index. EBL202103 XX SzGeCERN BOOK Koltsova, Olessia Følstad, Asbjø Halpin, Harry Kolozaridi, Polina Yuldashev, Leonid Smoliarova, Anna Niedermayer, Heiko https://cds.cern.ch/auth.py?r=EBLIB_P_5927062 ebook n 202110 202103 21 PUBLIC https://catalogue.library.cern/legacy/2755706 BOOK MIGRATED 2755649 SzGeCERN 20210421184215.0 9783030058739 electronic version electronic version 9783030058722 print version oai:cds.cern.ch:2755649 cerncds:BOOK EBL 5926342 eng QA76.76.E95 .I538 2019 6.33 Duong, Trung Q Industrial networks and intelligent systems 14th EAI international conference, INISCOM 2018, Da Nang, Vietnam, August 27-28, 2018, proceedings Cham Springer International Publishing AG 2019 331 p ebook Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 257 Intro -- Preface -- Organization -- Contents -- Optimal Beamforming for Multiuser Secure SWIPT Systems (Invited Paper) -- 1 Introduction -- 1.1 Background -- 1.2 Communication Security -- 2 System Model -- 2.1 Energy Harvesting Model -- 2.2 Achievable Rate and Secrecy Rate -- 3 Problem Formulation -- 3.1 Optimal Solution -- 3.2 Suboptimal Solution -- 4 Simulation Results -- 5 Conclusions -- 6 Appendix - Proof of Theorem 1 -- References -- Logarithmic Spiral Based Local Search in Artificial Bee Colony Algorithm -- 1 Introduction -- 2 ABC Algorithm -- 2.1 Steps of ABC Algorithm -- 3 Motivation -- 4 Logarithmic Spiral Based ABC -- 5 Experiential Setup and Result Analysis -- 5.1 Considered Test Problems -- 5.2 Experimental Setting -- 5.3 Analysis of Experimental Results -- 5.4 Statistical Analysis -- 6 Conclusion -- References -- Outage Performance Analysis of Energy Harvesting DF Cooperative NOMA Networks over Nakagami-m Fading Channels -- 1 Introduction -- 2 Network and Channel Models -- 3 Outage Probability Analysis -- 3.1 Outage Probability at Dm -- 3.2 Outage Probability at Dn -- 4 Nummerical Results and Disscussion -- 4.1 Results and Disccussion of the Outage Performance at both Dm -- 4.2 Results and Disccussion of the Outage Performance at Dn -- 5 Conclusions -- References -- Multi-path Routing for Mission Critical Applications in Software-Defined Networks -- 1 Introduction and Related Works -- 2 Proposed Multi-path Routing and Prioritisation Solution -- 2.1 Proposed Solution -- 3 Simulation and Results -- 3.1 Experimental Setup -- 3.2 Test Case 1 -- 3.3 Test Case 2 -- 3.4 Results -- 4 Conclusions and Future Work -- References -- Natural Disaster and Environmental Threat Monitoring System: Design and Implementation -- 1 Introduction -- 2 System Requirements and Vendors Selection -- 2.1 System Requirements -- 2.2 Vendors Selection. 3 System Design -- 3.1 Installation Locations -- 3.2 Integrated Wireless System -- 4 Experimental Results and System Performance Evaluation -- 4.1 System Performance -- 4.2 Experimental Results -- 5 Conclusion -- References -- Sport News Semantic Search with Natural Language Questions -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Translating Natural Language Question into SPARQL -- 3.1 Question Preprocessing -- 3.2 Syntax Analysis -- 3.3 Building Semantic Representation of Question -- 3.4 Generation of Intermediate SPARQL Query -- 3.5 Entity, Class and Predicate Detection and Complete SPARQL Generating -- 4 Experiments -- 5 Conclusion -- References -- Smart City Total Transport-Managing System -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Supporting Services -- 3.1 Internet of Thing Devices -- 3.2 Information and Communication Technology - Cooperating Transport -- 4 The Transport Management System -- 4.1 System Description -- 4.2 Concept of Operation -- 4.3 Benefits -- 5 Conclusion -- References -- Shinobi: A Novel Approach for Context-Driven Testing (CDT) Using Heuristics and Machine Learning for Web Applications -- 1 Introduction -- 2 Related Terminologies and Literature Review -- 3 The Proposed Method -- 3.1 Building and Training Object Detection Classifier -- 3.2 Building Heuristic Library -- 3.3 Shinobi High Level Design -- 4 Results and Analysis -- 5 Conclusion and Future Scope -- References -- DOA Estimation of Underwater Acoustic Signals Using Non-uniform Linear Arrays -- Abstract -- 1 Introduction -- 2 Signal Model and MUSIC Algorithm -- 2.1 Signal Model Description -- 2.2 A Brief Introduction of the MUSIC Algorithm -- 3 A Comparison of NLA with ULA in Terms of DOA Estimation Performance -- 3.1 Simulation Results and Discussion of the ULA Performance. 3.2 Simulation Results and Discussion of the 4-Element NLA Performance -- 4 Conclusion -- Acknowledgment -- References -- Performance Analysis of the Access Link of Drone Base Station Networks with LoS/NLoS Transmissions -- 1 Introduction -- 2 System Model -- 3 Main Results -- 4 Simulation Results -- 4.1 Coverage Probability Analysis -- 4.2 Area Spectral Efficiency Analysis -- 5 Conclusion -- References -- Development of the Rules for Transformation of UML Sequence Diagrams into Queueing Petri Nets -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Transformation Approach and Developed Rules -- 3.1 Interaction and Interaction Use -- 3.2 Lifeline -- 3.3 Workload -- 3.4 Occurrence and Execution -- 3.5 Message -- 3.6 General Ordering -- 3.7 Combined Fragment -- 4 Tool Development and Experiment -- 4.1 Case Study -- 4.2 Results -- 5 Conclusions -- References -- HHUSI: An Efficient Algorithm for Hiding Sensitive High Utility Itemsets -- Abstract -- 1 Introduction -- 2 Related Works -- 2.1 High Utility Itemset Mining -- 2.2 High Utility Sensitive Itemset Hiding -- 3 Algorithm Proposal -- 3.1 HHUSI Algorithm -- 3.2 Experiment Results -- 4 Conclusion -- References -- Converting the Vietnamese Television News into 3D Sign Language Animations for the Deaf -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Vietnamese Sign Language -- 2.2 VnTokenizer Tool -- 2.3 JVntagger Tool -- 2.4 HamNoSys and 3D Avatar -- 2.5 Decision-Tree Learning Machine -- 3 Conversion System -- 3.1 Constructing Training Database -- 3.2 Training Process -- 3.3 Process of Implementing Program -- 4 Results and Discussion -- 5 Conclusion -- References -- Outage Performance of the Downlink NOMA Relay Networks with RF Energy Harvesting and Buffer Aided Relay -- 1 Introduction -- 2 System Model -- 2.1 System Configuration -- 2.2 Data Buffer at Relay -- 2.3 Signal Model. 3 Outage Probability Analysis for Buffer-Aided Relay Systems -- 3.1 Overall Outage Probability -- 3.2 Outage Probability at Destination Nodes -- 4 Outage Probability with Buffer Aided Relay -- 5 Numerical Results -- 6 Conclusion -- References -- Analyzing Seismic Signal Using Support Vector Machine for Vehicle Motion Detection -- 1 Introduction -- 2 Experiment -- 3 Method -- 3.1 Simulated Data Generation -- 3.2 Data Classification with Support Vector Machines (SVM) -- 4 Result and Discussion -- 4.1 Result -- 4.2 Discussion -- References -- Smart-IoUT 1.0: A Smart Aquatic Monitoring Network Based on Internet of Underwater Things (IoUT) -- Abstract -- 1 Introduction -- 2 Internet of Underwater Things (IoUT) -- 2.1 Evolution and Introduction -- 2.2 Architecture -- 2.3 Challenges of Internet of Underwater Things (IoUT) -- 3 Smart IoUT 1.0 - A Smart Aquatic Monitoring Network Based on Internet of Underwater Things (IoUT) -- 3.1 Overview -- 3.2 Components Used -- 3.2.1 Sensors -- 3.2.2 Software -- 3.2.3 Architecture -- 4 Smart IoUT 1.0 - A Smart Aquatic Monitoring Network Based on Internet of Underwater Things (IoUT) - Working Prototype and Results -- 4.1 Flowchart and Working -- 4.2 Live Smart IoUT 1.0 - Prototype - Highlight and Live Demonstration -- 4.3 Results -- 5 Conclusion and Future Scope -- Acknowledgement -- References -- Wireless Power Transfer Under Secure Communication with Multiple Antennas and Eavesdroppers -- 1 Introduction -- 2 System and Channel Model -- 3 Secrecy Performance Analysis -- 3.1 Preliminaries -- 3.2 Existence Probability of Secrecy Capacity -- 3.3 Secrecy Outage Probability -- 4 Numerical Results and Discussion -- 5 Conclusion and Future Scope -- References -- Impact of Opportunistic Transmission on MCIK-OFDM: Diversity and Coding Gains -- 1 Introduction -- 2 System Model -- 3 SEP Performance Analysis -- 3.1 SEP Derivation. 3.2 Asymptotic Analysis -- 4 Simulation Results -- 5 Conclusions -- References -- An Improved Occlusion Detection with Constraints Approach for Video Processing -- 1 Introduction -- 2 The Proposed Method -- 3 Experiments and Discussion -- 4 Conclusion -- References -- Development and Deployment of an IoT-Based Reconfigurable System: A Case Study for Smart Garden -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Implementation -- 3.1 Wireless Sensor Networks -- 3.2 The Over-the-Air Programming Mechanism -- 3.3 Server System -- 3.4 Web Interface -- 4 Result and Evaluation -- 4.1 Code Distribution Evaluation -- 4.2 WSNs Application in Smart Garden Evaluation -- 4.3 Summary and Discussion -- 5 Conclusion and Future Work -- Acknowledgement -- References -- Secure Cooperative Systems with Jamming and Unreliable Backhaul over Nakagami-m Fading Channels -- 1 Introduction -- 2 Network and Channel Models -- 3 Secrecy Performance Analysis -- 3.1 Two-Phase Transmitter/Relay Selection Scheme -- 3.2 Secrecy Outage Probability -- 4 Numerical Results -- 4.1 Secrecy Outage Probability -- 5 Conclusions -- References -- Outage Probability of Cognitive Heterogeneous Networks with Multiple Primary Users and Unreliable Backhaul Connections -- 1 Introduction -- 2 System and Channel Models -- 3 SNR Distributions in Cognitive Heterogeneous Systems -- 4 Performance Analysis of the Proposed System -- 4.1 Outage Probability Analysis -- 5 Numerical Results and Discussions -- 5.1 Outage Probability Analysis -- 6 Conclusions -- References -- Impact of Direct Communications on the Performance of Cooperative Spectrum-Sharing with Two-Way Relays and Maximal Ratio Combining -- 1 Introduction -- 2 System Model -- 3 Performance Analysis -- 3.1 Maximal Ratio Combining -- 4 Numerical Results -- 5 Conclusions -- References. Energy Efficiency Maximization with Per-Antenna Power Constraints for Multicell Networks Using D.C. Programming. EBL202103 XX SzGeCERN BOOK Vo, Nguyen-Son https://cds.cern.ch/auth.py?r=EBLIB_P_5926342 ebook n 202110 202103 21 PUBLIC https://catalogue.library.cern/legacy/2755649 BOOK MIGRATED 2765492 SzGeCERN 20210429211823.0 oai:cds.cern.ch:2765492 cerncds:FULLTEXT CMS-DP-2021-008 eng CERN-CMS-DP-2021-008 CMS Collaboration FLUKA Run 2 simulation benchmark with beam loss monitors in the CMS forward region 2021 Geneva CERN 26 Apr 2021 6 p The FLUKA simulation framework is a general purpose Monte Carlo software for nuclear physics applications. It is commonly used by the CMS collaboration to make estimates on radiation levels in the underground cavern and at specific detector locations. The accuracy of the CMS model geometry in FLUKA is of key importance for the reliability of the simulation results which are used by the collaboration for detector instrumentation, radiation monitoring, and environmental protection. It contains simplified geometries and averaged material compositions for a simple and accurate representation of the CMS detector and the underground cavern. To verify the accuracy of the model, benchmark simulations against real measurement data are regularly performed, often by using data taken from radiation monitors in CMS. This note presents results of a simulation benchmark study conducted with measurements of two ionization chambers used as beam loss monitors in the CMS forward zone inside the rotating shield. CERN EDS SzGeCERN Detectors and Experimental Techniques CMS BRIL INTNOTE CERN PUBLCMS CERN LHC CMS PH CMS Collaboration 2291391 1477795 http://cds.cern.ch/record/2765492/files/DP2021_008.pdf n 202118 PUBLIC CMS-DETECTOR-PERFORMANCE-SUMMARIES NOTE 2764249 SzGeCERN 20210421183813.0 9783319256399 electronic version electronic version 9783319256382 print version oai:cds.cern.ch:2764249 cerncds:BOOK EBL 6301716 eng Z699 .S463 2015 025.04 Gandon, Fabien The semantic web ESWC 2015 satellite events, Portoroz, Slovenia, May 31 - June 4, 2015, revised selected papers Cham Springer International Publishing AG 2015 466 p ebook Lecture notes in computer science 9341 Intro -- Preface -- Organization -- Contents -- Demo and Poster Papers -- 3XL News: A Cross-lingual News Aggregator and Reader -- 1 Introduction and Motivation -- 2 Technological Background -- 3 3XL News Application -- 4 Demonstration -- 5 Conclusion -- References -- Towards Scalable Visual Exploration of Very Large RDF Graphs -- 1 Introduction -- 2 Platform Overview -- References -- SmartKeepers: A Decentralized, Secure, and Flexible Social Platform for Coworkers -- 1 Introduction -- 2 Decentralized Openness -- 3 Secure Services -- 3.1 WebID -- 3.2 Web Access Control -- 4 Demonstration of the System -- 5 Conclusion -- References -- How to Stay Ontop of Your Data: Databases, Ontologies and More -- 1 Introduction -- 2 Ontop -- 3 A Demo of Ontop Over NPD -- 3.1 Ontop as a SPARQL Endpoint -- 3.2 New Features in Ontop -- 4 Conclusions -- References -- This `Paper' is a Demo -- 1 Introduction -- 2 Technology and Design -- 2.1 Structure and Semantics -- 2.2 Presentation -- 2.3 Interaction -- 3 Multimedia Interactions -- 3.1 Print -- 3.2 Slideshow -- 3.3 Audio -- 3.4 Video -- 3.5 Statistical Displays -- 3.6 Linked Statistical Data Cube Designer -- 3.7 Executable Code -- 4 Conclusions -- Reference -- Improving Semantic Relatedness in Paths for Storytelling with Linked Data on the Web -- 1 Introduction -- 2 Pathfinding for Storytelling -- 2.1 Domain Delineation -- 2.2 Core Algorithm -- 2.3 Refinement -- 3 Presenting the Story -- 4 Preliminary Results -- 5 Conclusions and Future Work -- References -- Dataset Summary Visualization with LODSight -- 1 Introduction -- 2 Related Research -- 3 Summarization Method -- 4 Demonstration -- 5 Conclusions and Future Work -- References -- The ProtégéLOV Plugin: Ontology Access and Reuse for Everyone -- 1 Introduction -- 2 Reusing Vocabulary Elements When Building Ontologies -- 3 Related Work. 4 Linked Open Vocabulaires (LOV) -- 5 ProtégéLOV -- 6 Evaluation -- 7 Conclusions and Future Work -- References -- Controlling and Monitoring Crisis -- 1 Introduction -- 2 Crowd Crisis Control -- 3 Evaluation -- 4 Conclusions -- References -- FAGI-gis: A Tool for Fusing Geospatial RDF Data -- 1 Introduction -- 2 Related Work -- 3 Geospatial Fusion in FAGI-gis -- 3.1 Tool Demonstration -- 4 Evaluation -- 5 Conclusions -- References -- A Semantic, Task-Centered Collaborative Framework for Science -- Abstract -- 1 Introduction -- 2 Organic Data Science -- 3 Supporting Scientific Collaboration -- Acknowledgements -- References -- QueryVOWL: Visual Composition of SPARQL Queries -- 1 Introduction -- 2 QueryVOWL -- 2.1 Main View -- 2.2 Sidebar -- 2.3 Result List -- 2.4 Data Retrieval -- 3 Conclusion -- References -- Merging and Enriching DCAT Feeds to Improve Discoverability of Datasets -- 1 Introduction -- 2 Problem Statement and Proposed Solution -- 3 Architecture -- 4 Merging Feeds -- 5 Enriching Feeds -- 5.1 Subjects -- 5.2 Themes -- 5.3 Spatial Coverage -- 5.4 Triple Pattern Fragments -- 6 Real-World Application: OTN -- 7 Conclusion and Future Work -- References -- Minimally Supervised Instance Matching: An Alternate Approach -- References -- Discovering Types in RDF Datasets -- 1 Introduction -- 2 Type Discovery -- 3 Related Works -- 4 Evaluation -- 5 Future Works -- References -- Supporting Real-Time Monitoring in Criminal Investigations -- 1 Introduction -- 2 Related Work -- 3 Architecture Overview -- 4 Demonstration Scenario -- 5 Scalability -- 6 Conclusions -- References -- FOODpedia: Russian Food Products as a Linked Data Dataset -- 1 Introduction -- 2 Dataset Creation -- 3 Ontologies -- 4 Publishing -- References -- SentiML++: An Extension of the SentiML Sentiment Annotation Scheme -- 1 Introduction -- 2 Comparison -- 3 SentiML++. 4 Conclusions and Future Work -- References -- Analysis of Companies' Non-financial Disclosures: Ontology Learning by Topic Modeling -- Abstract -- 1 Introduction -- 2 Environmental Sustainability Datasets -- 3 Model of Corporate Sustainability -- 3.1 Climate Change Aspect Detection -- 3.2 LDA Topic Model -- 4 Ensemble Model -- 4.1 Data -- 4.2 Experimental Setup -- 5 Conclusion -- Acknowledgement -- References -- Curating a Document Collection via Crowdsourcing with Pundit 2.0 -- 1 Introduction -- 2 Description of the Online Demo -- 3 Related Works -- References -- SemNaaS: Add Semantic Dimension to the Network as a Service -- 1 Introduction -- 2 SemNaaS Approach -- 2.1 Ontology -- 2.2 SemNaaS Architecture -- 3 Evaluation and Use Case -- 4 Conclusions -- References -- LIDSEARCH: A SPARQL-Driven Framework for Searching Linked Data and Semantic Web Services -- 1 Introduction -- 2 Approach and Framework Overview -- 3 Implementation and Demonstration -- 4 Related Works -- 5 Conclusion and Perspectives -- References -- The Russian Museum Culture Cloud -- 1 Introduction -- 2 Overview of the System -- 3 Features of the End-User Applications -- 3.1 Website Application -- 3.2 Mobile Application -- 4 Conclusions -- Reference -- DataOps: Seamless End-to-End Anything-to-RDF Data Integration -- 1 Introduction -- 2 DataOps Demo -- 3 Related Work -- 4 Conclusion -- References -- ABSTAT: Linked Data Summaries with ABstraction and STATistics -- 1 Introduction -- 2 The ABSTAT Framework -- 3 Demonstration -- References -- DaCENA: Serendipitous News Reading with Data Contexts -- 1 Introduction -- 2 DaCENA -- 3 The Demo -- References -- Visual Analysis of Statistical Data on Maps Using Linked Open Data -- 1 Introduction -- 2 The ViCoMap Tool -- 2.1 Data Import -- 2.2 Correlation Analysis -- 3 Use Case: Number of Universities per State in Germany -- 4 Conclusion. References -- Keyword Search on RDF Graphs: It Is More Than Just Searching for Keywords -- 1 Keyword Search on RDF Graphs -- 2 Searching -- 3 Ranking -- 4 Summary -- References -- Collaborative Development of Multilingual Thesauri with VocBench (System Description and Demonstrator) -- Abstract -- 1 Introduction -- 2 A Quick Glance at VocBench Features -- 3 Some Notes on Architecture and Technologies -- 4 System Demo -- 5 More About VocBench -- 5.1 Availability -- References -- Distributed Linked Data Business Communication Networks: The LUCID Endpoint -- 1 The LUCID Endpoint -- 2 The Eccenca Revision Vocabulary -- 3 Demonstration Use-Case: Master Data Management -- References -- Evaluating Entity Annotators Using GERBIL -- 1 Introduction -- 2 GERBIL in a Nutshell -- 3 Evaluation -- 4 Conclusion and Future Work -- References -- Interactive Comparison of Triple Pattern Fragments Query Approaches -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 Algorithm Comparison Demo -- References -- Rubya: A Tool for Generating Rules for Incremental Maintenance of RDF Views -- 1 Introduction -- 2 Generating Rules with Rubya -- 3 Related Work -- 4 Conclusions -- References -- Time-Aware Entity Search in DBpedia -- 1 Introduction -- 2 Approach -- 3 Evaluation -- 4 Conclusions -- References -- ESWC2015 Developers Workshop -- Templating the Semantic Web via RSLT -- 1 Introduction -- 2 RSLT -- 3 An Implementation of RSLT -- 4 Conclusions -- References -- Developing a Sustainable Platform for Entity Annotation Benchmarks -- 1 Introduction -- 2 GERBIL's Interfaces, Dataflow, Structure -- 2.1 Datastructures -- 2.2 Workflow -- 2.3 Extensible Interfaces -- 3 Conclusion and Future Work -- References -- Managing the Evolution and Preservation of the Data Web - First Diachron Workshop -- A Diagnosis and Repair Framework for DL-LiteA KBs -- 1 Introduction. 2 Preliminaries -- 3 Diagnosis and Repair -- 3.1 Constraints in DL-LiteA -- 3.2 Approach for Diagnosis and Repair -- 4 Algorithms for Diagnosis and Repairing -- 4.1 Diagnosis Algorithm -- 4.2 Repairing Algorithm -- 5 Experimental Evaluation -- 5.1 Overview of Experimental Evaluation -- 5.2 Real and Synthetic Datasets Used -- 5.3 Scalability and Performance Evaluation -- 6 Related Work -- 7 Conclusion and Future Work -- References -- 4th Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data (Know@LOD) -- Sorted Neighborhood for Schema-Free RDF Data -- 1 Introduction -- 2 Related Work -- 3 The Workflow -- 3.1 Blocking Keys -- 3.2 Projected Logical Property Table -- 3.3 Candidate Set Generation -- 4 Experimental Analysis -- 4.1 Test Cases, Metrics and Setup -- 4.2 Baselines and Implementation -- 4.3 Results and Discussion -- 5 Conclusion and Future Work -- References -- The Triplex Approach for Recognizing Semantic Relations from Noun Phrases, Appositions, and Adjectives -- 1 Introduction -- 2 Related Work -- 3 Triplex -- 3.1 Bootstrapping Set Creation -- 3.2 Template Matching -- 4 Evaluation -- 5 Conclusions and Future Work -- References -- LDQ: 2nd Workshop on Linked Data Quality -- What's up LOD Cloud? -- 1 Introduction -- 2 Related Work -- 3 Experiments and Evaluation -- 3.1 Experimental Setup -- 3.2 Results and Evaluation -- 3.3 General Information -- 3.4 Access Information -- 3.5 Ownership Information -- 3.6 Provenance Information -- 3.7 Enriched Profiles -- 4 Conclusion and Future Work -- References -- 2015 Workshop on Legal Domain and Semantic Web Applications -- A Bottom-Up Approach for Licences Classification and Selection -- 1 Introduction -- 2 Related Work -- 3 Building the Ontology -- 3.1 Contento -- 3.2 The Ontology -- 4 Pick the Licence -- 5 Conclusions and Future Work -- References. 4th Workshop on the Multilingual Semantic Web. EBL202104 XX SzGeCERN EBL Information storage and retrieval systems EBL Database management BOOK Guéret, Christophe Villata, Serena Breslin, John Faron-Zucker, Catherine Zimmermann, Antoine https://cds.cern.ch/auth.py?r=EBLIB_P_6301716 ebook n 202115 21 PUBLIC https://catalogue.library.cern/legacy/2764249 BOOK MIGRATED 2764246 SzGeCERN 20210421183813.0 9783319174730 electronic version electronic version 9783319174723 print version oai:cds.cern.ch:2764246 cerncds:BOOK EBL 6301698 eng QA76.76.C65 .L364 2015 005.453 Brodman, James Languages and compilers for parallel computing 27th international workshop, LCPC 2014, Hillsboro, OR, USA, September 15-17, 2014, revised selected papers Cham Springer International Publishing AG 2015 401 p ebook Lecture notes in computer science 8967 Intro -- Preface -- Organization -- Contents -- Accelerator Programming -- Optimistic Parallelism on GPUs -- 1 Introduction -- 2 Execution Framework -- 3 Speculative Execution on GPUs -- 3.1 Irregular Memory Accesses -- 3.2 Irregular Control Flow -- 4 Scheduling -- 5 Commit and Recovery -- 6 Programming Speculative Parallel Loops on GPUs -- 6.1 Irregular Memory Accesses -- 6.2 Irregular Control Flow -- 7 Evaluation -- 7.1 Performance Overview -- 7.2 Effectiveness of the Optimizations -- 8 Related Work -- 9 Conclusion -- References -- Directive-Based Compilers for GPUs -- 1 Introduction -- 2 Related Work -- 3 Environmental Setup. Target Platform and Compilers -- 3.1 Benchmarks -- 3.2 Performance Measurement -- 4 Micro-Kernels -- 5 Transformation Steps -- 5.1 Transformations -- 5.2 Impact of Each Transformation on Performance -- 6 Performance of Rodinia Benchmarks -- 7 Conclusions -- References -- GLES: A Practical GPGPU Optimizing Compiler Using Data Sharing and Thread Coarsening -- 1 Introduction -- 2 Motivation Examples -- 2.1 Example 1: Matrix Multiplication -- 2.2 Example 2: MRI-GRID -- 3 Compiler Framework -- 3.1 Divergence Analysis -- 3.2 Data Sharing Optimization -- 3.3 Thread Coarsening Optimization -- 4 Evaluation -- 4.1 Overall Performance -- 4.2 Case Study: MRI-GRID -- 4.3 Performance Result Compared with Gcompiler -- 5 Related Work -- 6 Conclusion -- References -- Evaluating Performance Portability of OpenACC -- 1 Introduction -- 2 Background -- 2.1 Target Architectures -- 2.2 OpenACC Programming Model -- 3 Overview of OpenARC Framework -- 3.1 Compiler and Runtime -- 3.2 Automatic Tuning -- 4 Performance Portability Evaluation -- 4.1 Experimental Setup -- 4.2 Arranging OpenACC Parallelism -- 4.3 Effects of Memory Access Coalescing -- 4.4 Effects of Aligned Memory Accesses -- 4.5 Tiling Transformation. 4.6 Exploiting Device-Specific Memories -- 4.7 Loop Unrolling -- 4.8 Performance Portability Evaluation Using OpenARC Auto-Tuning -- 4.9 Performance Comparison Against Hand-Written Codes -- 5 Conclusion and Future Work -- References -- NAS Parallel Benchmarks for GPGPUs Using a Directive-Based Programming Model -- 1 Introduction -- 2 GPU Architecture and OpenACC Directives -- 3 Parallelization and Optimization Strategies -- 3.1 Array Privatization -- 3.2 Loop Scheduling Tuning -- 3.3 Memory Coalescing Optimization -- 3.4 Data Motion Optimization -- 3.5 Cache Optimization -- 3.6 Array Reduction Optimization -- 3.7 Scan Operation Optimization -- 4 Performance Evaluation -- 5 Discussion -- 5.1 Programmability -- 5.2 Performance Portability -- 6 Related Work -- 7 Conclusion -- References -- Understanding Co-run Degradations on Integrated Heterogeneous Processors -- 1 Introduction -- 2 Exeperiment Settings -- 2.1 Hareware Platforms -- 2.2 OS, Driver, and Benchmark -- 2.3 Timing Mechanisms -- 3 Contention Analysis -- 3.1 Counter-Intuitive Observations -- 4 Optimizations -- 4.1 Kernel Fusion -- 4.2 Accelerator-Conscious Priority Control -- 5 Related Work -- 6 Conclusion -- References -- Algorithms for Parallelism -- Simultaneous Inspection: Hiding the Overhead of Inspector-Executor Style Dynamic Parallelization -- 1 Introduction -- 2 Inspection While Sequential Progress is Being Made -- 2.1 Parallel Inspection as a Pre-processing Step -- 2.2 Simultaneous Parallel Inspection -- 3 Optimizations -- 3.1 Removing Superfluous Checks -- 3.2 Dynamic Load Balancing -- 4 Performance -- 5 Related Work -- 6 Conclusions -- References -- Tiled Linear Algebra a System for Parallel Graph Algorithms -- 1 Introduction -- 2 Graph Algorithms Using Linear Algebra -- 3 Tiled Linear Algebra -- 3.1 Delaying Updates -- 3.2 Partial Computation -- 4 Single Source Shortest Path. 4.1 Algorithms -- 4.2 Performance Comparison -- 4.3 Delaying Updates Impact on Partially Asynchronous -Stepping -- 5 Related Work -- 6 Conclusion -- References -- An Approach for Proving the Correctness of Inspector/Executor Transformations -- 1 Introduction -- 2 Applicability of Wavefront Parallelization -- 3 The Legality of Program Transformations -- 3.1 Using Data Dependence Analysis to Argue Correctness -- 3.2 Why Mechanized Proofs -- 4 Expressing Codes in PseudoC -- 5 Proof of Correctness -- 5.1 Original Code and Executor Equivalence -- 5.2 Creating Action Graphs from PseudoC -- 5.3 Characterizing Equivalence -- 5.4 Verifying the Inspector -- 5.5 Limitations and Future Work -- 6 Related Work -- 7 Conclusions -- References -- Fast Automatic Heuristic Construction Using Active Learning -- 1 Introduction -- 2 Motivation -- 3 Our Approach -- 3.1 Query by Committee -- 3.2 Assessing Disagreement -- 3.3 Statistically Sound Profiling -- 4 Experimental Setup -- 4.1 Platform and Benchmarks -- 4.2 Active Learning Settings -- 4.3 Evaluation Methodology -- 5 Experimental Results -- 5.1 Overall Learning Costs -- 5.2 Analysis of Training Point Selection -- 5.3 Sensitivity to Parameters -- 6 Related Work -- 7 Conclusions -- References -- Jagged Tiling for Intra-tile Parallelism and Fine-Grain Multithreading -- 1 Introduction -- 2 Related Work -- 3 Framework -- 3.1 Overview of Polyhedral Code Generation -- 3.2 Jagged Tiling for Intra-tile Parallelism -- 3.3 Fine-Grain Execution -- 4 Experimental Setup -- 5 Discussion -- 6 Future Work -- 7 Conclusion -- References -- The STAPL Skeleton Framework -- 1 Introduction -- 2 Related Work -- 3 STAPL Skeleton Framework -- 3.1 Algorithm Specification -- 3.2 Algorithm Execution -- 4 Skeleton Transformations -- 4.1 Definitions -- 4.2 Coarsening Transformations (C) -- 5 Composition Examples. 5.1 NAS Embarrassingly Parallel (EP) Benchmark -- 5.2 NAS Integer Sort (IS) Benchmark -- 6 Performance Evaluation -- 7 Conclusions -- References -- Compilers -- Memory Management Techniques for Exploiting RDMA in PGAS Languages -- 1 Introduction -- 2 Unified Parallel C Background -- 3 Symmetric Heap Allocation -- 3.1 Allocation -- 3.2 Collective Allocation -- 3.3 Independent Allocation -- 4 Heap Mirroring for Shared Memory Optimizations -- 4.1 Arrangement of Mirrors -- 4.2 Implementation Challenges Using SystemV Shared Memory -- 4.3 Collective and Independent Allocation -- 5 Shared Address Translation -- 6 Experimental Results -- 6.1 Allocator Performance -- 6.2 Local Shared Accesses Performance -- 6.3 Regular Applications -- 6.4 Irregular Applications -- 6.5 Summary -- 7 Related Work -- 8 Conclusion -- References -- Change Detection Based Parallelism Mapping: Exploiting Offline Models and Online Adaptation -- 1 Introduction -- 2 Motivation -- 2.1 Scope for Improvement -- 3 Runtime Scheduling -- 3.1 Markov Decision Process -- 3.2 Scheduling Policies as MDPs -- 4 Our Approach -- 4.1 Predictive Models -- 4.2 Features -- 4.3 Building the Model -- 4.4 Deployment: Combining Action and Reward -- 5 Experimental Methodology -- 5.1 Hardware and Software Configurations -- 5.2 Experimental Scenarios -- 5.3 Evaluation -- 6 Results -- 6.1 Dynamic Environment Evaluation -- 6.2 Impact on Workload -- 6.3 Oracle Study -- 7 Analysis -- 7.1 Thread Number Change: How Often, How Much -- 7.2 Environment Prediction Accuracy -- 7.3 Thread Prediction Accuracy -- 7.4 Sensitivity Analysis -- 8 Related Work -- 9 Conclusion -- References -- Automatic Streamization of Image Processing Applications -- 1 Introduction -- 2 Compilation Chain Overview -- 3 Hardware and Software Target -- 3.1 MPPA-256 Architecture -- 3.2 The CProgramming Language -- 4 Compiler and Runtime Design. 4.1 CImage Processing Library -- 4.2 CCode Generation -- 4.3 Runtime Environment -- 5 Performance Results -- 6 Conclusion and Future Work -- References -- Evaluation of Automatic Power Reduction with OSCAR Compiler on Intel Haswell and ARM Cortex-A9 Multicores -- 1 Introduction -- 2 OSCAR Compiler and OSCAR API -- 2.1 Multigrain Parallel Processing with the OSCAR Compiler -- 2.2 Low-Power Optimization by the OSCAR Compiler -- 2.3 OSCAR API -- 3 Runtime Support for Power Control -- 3.1 Power Control Frameworks Available in Linux -- 3.2 Intel-Specific Power Control Interface -- 3.3 ARM-Specific Power Control Interface -- 3.4 Examples of Target Architectures -- 4 Performance Evaluation with Intel 4-Cores and ARM Cortex-A9 4-Cores -- 4.1 Modification of the Evaluation Boards to Measure the Chip Power Consumption -- 4.2 Application Programs Used in the Evaluation -- 4.3 Power Consumption on the Intel Haswell Multicore Platform -- 4.4 Power Consumption on the ARM Cortex-A9 Multicore -- 5 Conclusion -- References -- Abstraction: Parallelism-Aware Array Data Flow Analysis for OpenMP -- 1 Introduction -- 2 The Operator -- 2.1 Iteration Space Representation -- 2.2 Data Space Representation -- 2.3 The Operator versus Explicit Static Partitioning -- 3 Producer-Consumer Array Data Flow Analysis -- 4 Delayed Symbolic Evaluation -- 5 Performance Evaluation -- 5.1 Performance Metrics -- 5.2 Experimental Setup -- 5.3 Evaluation of the Producer-Consumer Array Data Flow Analysis -- 6 Related Work -- 7 Conclusions and Future Work -- References -- Static Approximation of MPI Communication Graphs for Optimized Process Placement -- 1 Introduction -- 2 Related Work -- 2.1 Static Analysis of MPI Programs -- 2.2 Profiling and Dynamic Analysis of MPI Programs -- 3 Our Approach -- 3.1 General Principles -- 3.2 Context, Flow, and Process Sensitivity -- 3.3 On-Demand Evaluation. 3.4 Special Cases. EBL202104 XX SzGeCERN BOOK Tu, Peng https://cds.cern.ch/auth.py?r=EBLIB_P_6301698 ebook n 202115 21 PUBLIC https://catalogue.library.cern/legacy/2764246 BOOK MIGRATED 2764243 SzGeCERN 20210421183813.0 9783662442029 electronic version electronic version 9783662442012 print version oai:cds.cern.ch:2764243 cerncds:BOOK EBL 6301674 eng QA76.64 .J664 2014 005.117 Jones, Richard ECOOP 2014 - object-oriented programming 28th European conference, Uppsala, Sweden, July 28- August 1, 2014, proceedings Berlin Springer 2014 721 p ebook Lecture notes in computer science 8586 Intro -- Preface -- Artifacts -- Organization -- Abstracts of Keynote Lectures -- Molecular Programming -- A View on the Past, Present and Future of Objects -- How Do You Like Your Software Models?Towards Empathetic Design of Software Modeling Methods and Tools -- Software Environmentalism -- Table of Contents -- Analysis -- State-Sensitive Points-to Analysis for the Dynamic Behavior of JavaScript Objects -- 1 Introduction -- 2 Definitions and Motivating Example -- 2.1 JavaScript Object-Reference State -- 2.2 Imprecision of Points-to Analysis -- 3 State-Sensitive Points-to Analysis -- 3.1 State-Preserving Block Graph -- 3.2 Points-to Graph Representation -- 3.3 Points-to Analysis Transfer Functions -- 3.4 State Sensitivity -- 3.5 Block-Sensitive Analysis -- 3.6 Implementation of State-Sensitive Analysis in JSBAF -- 4 Evaluation -- 4.1 Experimental Design -- 4.2 Experimental Results -- 5 Related Work -- 6 Conclusion -- References -- Self-inferencing Reflection Resolution for Java -- 1 Introduction -- 2 Understanding Reflection Usage -- 2.1 Background -- 2.2 Empirical Study -- 3 Methodology -- 3.1 Assumptions -- 3.2 Self-inferencing Reflection Resolution -- 3.3 Elf vs. Livshits et al.'s Analysis and Doop -- 4 Reflection Resolution -- 4.1 Domains and Input/Output Relations -- 4.2 Target Propagation -- 4.3 Target Inference -- 4.4 Properties -- 5 Evaluation -- 5.1 Implementation -- 5.2 Experimental Setup -- 5.3 Results and Analysis -- 6 Related Work -- 7 Conclusion -- References -- A Artifact Description -- Constructing Call Graphs of Scala Programs -- 1 Introduction -- 2 Background -- 3 Motivating Examples -- 3.1 Traits -- 3.2 Abstract Type Members -- 3.3 Closures -- 3.4 Calls on the Variable this -- 3.5 Bytecode-Based Analysis -- 4 Algorithms -- 4.1 TCAnames -- 4.2 TCAbounds -- 4.3 TCAexpand -- 4.4 TCAexpand-this -- 4.5 Correctness. 5 Implementation -- 5.1 Super Calls -- 5.2 Incomplete Programs -- 6 Evaluation -- 6.1 Research Questions -- 6.2 Results -- 7 Conclusions -- References -- A Artifact Description -- Finding Reference-Counting Errors in Python/C Programs with Affine Analysis -- 1 Introduction -- 2 Background: The Python/C Interface and Reference Counting -- 2.1 Python/C Reference Counting and Its Complexities -- 3 Related Work -- 4 Pungi Overview -- 5 Affine Abstraction -- 5.1 Bug Definition with Non-escaping References -- 5.2 SSA Transform -- 5.3 Affine Translation -- 5.4 Escaping References -- 6 Affine Analysis and Bug Reporting -- 7 Implementation and Limitations -- 8 Evaluation -- 9 Conclusions and Future Work -- References -- Design -- Safely Composable Type-Specific Languages -- 1 Motivation -- 2 Type-Specific Languages inWyvern -- 2.1 Inline Literals -- 2.2 Splicing -- 2.3 Layout-Delimited Literals -- 2.4 Implementing a TSL -- 3 Syntax -- 3.1 Concrete Syntax -- 3.2 Program Structure -- 3.3 Forward Referenced Blocks -- 3.4 Abstract Syntax -- 4 Bidirectional Typechecking and Elaboration -- 4.1 Programs and Type Declarations -- 4.2 External Terms -- 4.3 Literals -- 4.4 Hygiene -- 4.5 From Values to ASTs -- 4.6 Metatheory -- 4.7 Decidability -- 5 Corpus Analysis -- 6 Implementation -- 7 Related Work -- 8 Discussion -- References -- Graceful Dialects -- 1 Introduction -- 2 Grace in a Nutshell -- 3 Dialects -- 3.1 Structure -- 3.2 Pluggable Checkers -- 3.3 Run-Time Protocol -- 4 Case Studies of Dialects -- 4.1 Logo-Like Turtle Graphics -- 4.2 Design by Contract -- 4.3 Dialect forWriting Dialects -- 4.4 Requiring Explicit Type Annotations -- 4.5 Type Checking -- 4.6 Literal Blocks -- 5 Discussion -- 5.1 Inheritance -- 5.2 Delegation -- 5.3 Macros -- 5.4 Local Dialects -- 6 Related Work -- 6.1 Racket -- 6.2 Scala -- 6.3 Ruby -- 6.4 Haskell -- 6.5 Cedalion. 6.6 Pluggable Checkers -- 7 Conclusion -- References -- A Artifact Description -- Structuring Documentation to Support State Search: A Laboratory Experiment about Protocol Programming -- 1 Introduction -- 2 Background and Related Work -- 3 Plaiddoc -- 4 State Search Categories -- 5 Methodology -- 5.1 Recruitment -- 5.2 Training -- 5.3 Experimental Setup -- 5.4 Tasks -- 5.5 Post-experiment Interview -- 6 Results -- 6.1 Task Completion Time -- 6.2 Correctness -- 6.3 Learning -- 6.4 State Concept Mapping -- 6.5 Participant Preference -- 7 Threats to Validity -- 7.1 Construct Validity -- 7.2 Internal Validity -- 7.3 External Validity -- 8 Type Annotations as Documentation -- 9 Conclusion -- References -- Concurrency -- Reusable Concurrent Data Types -- 1 Introduction -- 2 Overview -- 2.1 Extensibility -- 2.2 Composability -- 3 Polymorphic Transactional Memory -- 3.1 Opaque Transactions -- 3.2 Hand-over-Hand Transactions -- 3.3 Snapshot Transactions -- 3.4 Irrevocable Transactions -- 4 Correctness -- 4.1 Invariants -- 4.2 Semantics Preservation -- 4.3 Linearizability of the Data Type -- 4.4 Reusability -- 5 Language Integration -- 5.1 Bytecode Instrumentation -- 5.2 Exception Handling -- 5.3 Nesting Semantics -- 5.4 Legacy Code -- 6 Evaluation -- 6.1 Settings -- 6.2 PT Methodology vs JDK -- 6.3 Polymorphism vs Monomorphism -- 6.4 Adding Forms Is Beneficial -- 6.5 java.util.Vector vs ReusableVector -- 6.6 The Vacation Application -- 6.7 j.u.c.ConcurrentLinkedQueue vs ReusableQueue -- 7 Related Work -- 8 Concluding Remarks -- References -- TaDA: A Logic for Time and Data Abstraction -- 1 Introduction -- 2 Motivating Examples -- 2.1 Lock -- 2.2 Multiple Compare-And-Swap (MCAS) -- 2.3 Resource Transfer -- 3 Logic -- 4 Case Study: Concurrent Deque -- 4.1 Abstract Specification -- 4.2 The "Snark" Linked-List Deque Implementation -- 5 Semantics -- 6 Related Work. 7 Conclusions -- 7.1 Future Work -- References -- Infrastructure-Free Logging and Replay of Concurrent Execution on Multiple Cores -- 1 Introduction -- 2 Motivation -- 2.1 Motivating Example -- 2.2 Observations -- 3 Language and Semantics -- 3.1 Logging Semantics -- 3.2 Replay Semantics -- 4 Incremental Schedule Exploration -- 4.1 ExplorationWindow -- 4.2 Coarse-Grained Exploration -- 4.3 Fine-Grained Exploration -- 5 Caching Replay Failures -- 6 Implementation -- 7 Evaluation -- 8 Related Work -- 9 Conclusion -- References -- Types -- Understanding TypeScript -- 1 Introduction -- 2 The Design of TypeScript -- 3 Featherweight TypeScript -- 4 Safe Featherweight TypeScript (safeFTS) -- 5 OperationalSemantics -- 6 Production Featherweight TypeScript (prodFTS) -- 6.1 Unchecked Downcasts -- 6.2 Unchecked Gradual Typing (and Unchecked Indexing) -- 6.3 Unchecked Covariance -- 7 Connection to Gradual Typing -- 8 Related Work -- 9 Conclusion -- References -- Sound and Complete Subtyping Types for Object-Oriented Languages -- 1 Introduction -- 2 A Motivating Example -- 3 Background -- 3.1 Types and Tree -- 3.2 Principle of Induction and Coinduction -- 4 Semantic Subtyping between Coinductive Types -- 5 A Sound and Complete Inference System -- 5.1 Type Normalization -- 5.2 Subtyping Rules -- 6 A Sound and Complete Algorithm -- 7 Conclusion -- References -- A Artifact Description -- Spores: A Type-Based Foundation for Closures in the Age of Concurrency and Distribution -- 1 Introduction -- 1.1 Selected Related Work -- 1.2 Contributions -- 2 Spores -- 2.1 Spore Syntax -- 2.2 The Spore Type -- 2.3 Basic Usage -- 2.4 Advanced Usage and Type Constra ints -- 2.5 Transitive Properties -- 3 Formalization -- 3.1 Subtyping -- 3.2 Typing Roles -- 3.3 Operational semantics -- 3.4 Soundness -- 3.5 Relation to Spores in Scala -- 3.6 Excluded Types -- 4 Implementation. 5 Evaluation -- 5.1 Using Spores Instead of Closures -- 5.2 Spores and Apache Spark -- 5.3 Spores and Akka -- 6 Case Study -- 7 Other Related Work -- 8 Conclusion -- References -- Rely-Guarantee Protocols -- 1 Introduction -- 1.1 Approach in a Nutshell -- 2 Pipe Example -- 3 Type System Overview -- 4 Sharing Mutable State -- 4.1 Specifying Rely-Guarantee Protocols -- 4.2 Checking Protocol Splitting -- 4.3 Using Shared State -- 4.4 Framing State -- 4.5 Consumer Code -- 5 Technical Results -- 6 Additional Examples -- 6.1 Sharing a Linear ADT -- 6.2 Capturing Local Knowledge -- 6.3 Iteratively Sharing State -- 7 Related Work -- 8 Conclusions -- References -- Implementation -- Stream Processing with a Spreadsheet -- 1 Introduction -- 2 Overview -- 3 Spreadsheet Calculus -- 3.1 Core Calculus -- 3.2 Boundedness -- 3.3 Live Calculus -- 3.4 Stream Calculus -- 3.5 Query Language -- 4 Implementation -- 4.1 Client Side -- 4.2 Server Side -- 5 Case Studies -- 6 Related Work -- 7 Conclusion -- References -- Implicit Staging of EDSL Expressions: A Bridge between Shallow and Deep Embedding -- 1 Introduction -- 2 Implementation of Embedded DSLs -- 2.1 Shallow Embedding -- 2.2 Deep Embedding: Staging at Runtime -- 2.3 No Middle Ground? -- 3 Implicit Staging -- 3.1 Staging by Static Token Reinterpretation -- 3.2 The Approach's Potential -- 3.3 Design Aspects -- 4 Implicit Staging at Load Time -- 4.1 Prototype Overview -- 4.2 Staging: Expression Extraction -- 4.3 Processing: Expression Translation -- 4.4 Unstaging: Relinking Expression Sites -- 5 Evaluation -- 5.1 IR and Staging Limitations -- 5.2 Experiment A: Matrix EDSL -- 5.3 Experiment B: Chained Filtering and Mapping EDSL -- 5.4 Experiment C: Safe Arithmetic EDSL -- 6 Related Work -- 7 Conclusion -- References -- Babelsberg/JS A Browser-Based Implementation of an Object Constraint Language -- 1 Introduction. 2 Background and Related Work. EBL202104 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6301674 ebook n 202115 21 PUBLIC https://catalogue.library.cern/legacy/2764243 BOOK MIGRATED 2764222 SzGeCERN 20210421183814.0 9783319101781 electronic version electronic version 9783319101774 print version oai:cds.cern.ch:2764222 cerncds:BOOK EBL 6301383 eng QA76 .E443 2014 004 Kő, Andrea Electronic government and the information systems perspective third international conference, EGOVIS 2014, Munich, Germany, September 1-3, 2014 proceedings Cham Springer International Publishing AG 2014 318 p ebook Lecture notes in computer science 8650 Intro -- Preface -- Organization -- Table of Contents -- Identity Management in E-Government -- Social Signature: Signing by Tweeting -- 1 Introduction -- 2 Background -- 2.1 Digital Signature -- 2.2 Twitter Specifics -- 3 Social Signature -- 4 Security Analysis -- 5 Related Work -- 6 Conclusion -- References -- Accessibility Issues in E-Government -- 1 Introduction -- 2 Service Usability -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusions and Future Work -- References -- Appendix A: Results for the UK Tasks across a Number of Government Authorities -- An Interoperability Approach for Enabling Access to e-Justice Systems across Europe -- 1 Introduction -- 2 Related Projects -- 3 The Architecture of the e-CODEX e-Delivery Solution -- 4 Semantic Interoperability -- 5 Modeling Semantic Interoperability -- 5.1 Domain and Document Modeling -- 6 Technical Implementation of the Modeling Layers -- 6.1 Short Term Strategy -- 6.2 Long Term Strategy -- 7 e-CODEX Knowledge Modeling Deployed on Example -- 8 Conclusions -- References -- E-Participation -- An Efficient Homomorphic E-Voting System over Elliptic Curves -- 1 Introduction -- 1.1 Contribution and Plan of This Paper -- 2 Preliminaries -- 2.1 The Elliptic Curve ElGamal Cryptosystem -- 3 Our Proposal -- 3.1 Set Up -- 3.2 Voting -- 3.3 Opening -- 4 Security -- 5 Experimental Results -- 6 Conclusion -- References -- Exploring the Determinants of Citizens' Intention to Participate in the Development of e-Government Services -- 1 Introduction -- 2 Theoretical Background and Research Hypotheses -- 2.1 Expectation-Disconfirmation Theory -- 2.2 Involvement -- 2.3 Personal Innovativeness -- 3 Research Methodology -- 3.1 Instrumentation Construction -- 3.2 Subjects -- 4 Data Analysis and Results -- 4.1 Measurement Model -- 4.2 Reliability and Validity of the Scale. 4.3 Model Fit and Hypotheses Testing -- 5 Conclusions and Implications -- References -- E-mail Responsiveness in the Public Sector -- 1 Introduction -- 2 Method -- 3 Findings -- 4 Discussion -- 5 Conclusion -- References -- Intelligent Systems in E-Government -- Business Intelligence Systems as Management, Accountability and Transparency Tools for the Government: The Case of Platform Aquarius -- 1 Introduction -- 2 Political Dream versus Technical Reality -- 2.1 Motivation -- 2.2 Requirement Engineering Issues -- 3 Information Architecture for Public Transparency -- 3.1 ST&amp -- I Public Governance -- 3.2 Data Governance -- 3.3 Experimental Information Architecture -- 3.4 Standard Information Architecture -- 4 Government Information to the Citizens -- 4.1 MCTI General Expenditures -- 4.2 Funding by ST&amp -- I S Sector -- 4.3 Scholarships -- 4.4 Institutional Agreements -- 4.5 Scientific Production Cataloged in the Platform Lattes -- 4.6 Monitoring ST&amp -- I Public Policies -- 5 Conclusions and Lessons Learned -- References -- Process-Based Knowledge Extraction in a Public Authority: A Text Mining Approach -- 1 Introduction -- 2 The State of the Art in Text Mining -- 3 PROKEX Framework Overview -- 3.1 Prokex Text Mining Component Overview -- 3.2 Text Extraction -- 3.3 Preprocessing / Text Cleansing -- 3.4 Word Expansion and Matching -- 3.5 Feature Ranking and Selection -- 3.6 Association Rule Mining -- 4 ProMine Case - Sampling in Controlling Food Safety -- 5 Conclusion -- References -- Combining Knowledge Management and Business Process Management - A Solution for Information Extraction from Business Process Models Focusing on BPM Challenges -- 1 Introduction -- 2 The State of the Art in SBPM -- 2.1 Business Process Management -- 2.2 BPM and Workflow Management -- 2.3 Classification of BPM Standards. 2.4 Semantic Interoperability and Process Ontologies -- 2.5 Ontology Languages -- 3 Prokex BPM Component Overview -- 3.1 Use Case: "Food Safety Inspection - Sampling" Process -- 3.2 Modeling Environment -- 3.3 Initial Modeling of the Processes -- 3.4 Complementary Modeling Layers -- 3.5 Complex Process Model -- 3.6 Multidimensional Process Knowledge-Process Coupling via Semantic Transformations -- 4 Conclusion -- References -- Semantic Technologies in E-Government -- Persistent Storage and Query of E-government Ontologies in Relational Databases -- 1 Introduction -- 2 Semantic Web Technologies for Persistent Storage and Query of Ontologies -- 2.1 Ontologies Repositories -- 2.2 Semantic Web Ontology Languages and Platforms -- 2.3 Ontologies Storage Platforms and Query Languages -- 3 Experiments -- 3.1 Data Set -- 3.2 Experimental Results -- 4 Related Work -- 5 Conclusion -- References -- Application of Process Ontology to Improve the Funding Allocation Process at the European Institute of Innovation and Technology -- 1 Introduction -- 2 The ProKEx Project -- 2.1 General Objectives -- 2.2 Technology State of the Art -- 2.3 Characteristics of the Solution -- 2.4 How Does It Work -- 3 The European Institute of Innovation and Technology -- 3.1 The Mission of the EIT -- 3.2 The Process for the Annual Allocation of Funding -- 4 Conclusions -- References -- Extending Computerized Adaptive Testing to Multiple Objectives: Envisioned on a Case from the Health Care -- 1 Testing Individual Improvement in a Medical Context -- 2 From Classic to Adaptive Testing -- 3 Computerized Adaptive Testing as a New Type of Learning -- 3.1 Dichotomous Test Items -- 3.2 Polytomous Test Items -- 4 Measuring Abilities with CAT - Psychometrics and Methodologies -- 4.1 Item Response Theory (IRT) -- 5 Calibration and Organization of the Item Bank -- 5.1 Online Calibration Strategies. 5.2 Differential Item Functioning -- 5.3 Ontology Enhanced Item Banks -- 6 CAT in Multiple Objectives for Educational Feedback -- 6.1 A Vision for Multiple Objectives as Learning Cases within the Health Care Environment -- 7 Conclusion and Outlook -- References -- E-Government Cases -- From Legislation towards the Provision of Services -- 1 Introduction -- 2 Development and Requirements -- 3 Towards an Approach to an Agile Implementation of Legislation -- 4 The Approach in a Nutshell -- 5 Legal DNA -- 6 Legal DNA: The Protocol -- 7 Summary -- References -- Breaking the Barriers of e-Participation: The Experience of Russian Digital Office Development -- 1 Introduction -- 2 Background and Literature Review on E-signature -- 3 The Italian Non-Qualified Electronic Signature -- 4 Russian Digital Office Implementation -- 4.1 Digital Office Concept -- 4.2 Primary Registration Procedure -- 4.3 Authentication -- 4.4 Extracts -- 5 Discussion -- 6 Conclusion -- References -- Model of Digital Mediation to Support Communication between Teachers Unions and the Education Community -- 1 Introduction -- 2 Communication Model for Teachers Unions Websites -- 3 Proof of Concept - The Liberopinion Platform -- 3.1 Questions from the User Community -- 3.2 Suggestions and Ideas from the User Community -- 3.3 Community Surveys - Polls -- 3.4 Live Debates -- 3.5 Personal Area -- 4 Liberopinion Usage Experience in SPRC Website -- 5 Conclusion and Future Work -- References -- Open Government Data and G-Cloud -- Open Government and Electronic Government: Some Considerations -- 1 Knowledge and Innovation -- 2 Open Government and Electronic Government -- 3 Trends in Open Government -- 4 Supportive Impacts -- 5 Conflicting Impacts -- 6 Impulses for Public Governance -- 7 Social Media Exert Heavy Influence -- 8 Participation is an Imperative Aim -- 9 Connection to Mobile Government. 10 Conclusions -- References -- Modeling, Fusion and Exploration of Regional Statistics and Indicators with Linked Data Tools -- 1 Introduction -- 2 Sharing and Reusing Public Datasets Across Europe -- 2.1 Related Work -- 2.2 Problem Statement -- 2.3 Case Study: Register of the Regional Development Measures and Incentives -- 3 Linked Data Approach to Modeling Spatio-Temporal Data -- 3.1 Modeling Statistical Data (Vocabulary RDF Data Cube) -- 3.2 Modeling Spatial and Time Dimensions (Using SKOS Vocabulary) -- 3.3 Fusing Statistical Data (RDF Data Cubes) -- 4 Linked Data Approach to Analysis of Spatial-Temporal Data -- 5 ESTA-LD Implementation Details and Validation -- 6 Conclusions and Further Work -- References -- Environmental Thesauri under the Lens of Reusability -- 1 Introduction -- 2 Introduction to the Methodological Approach -- 3 Resource Identification and Cataloguing -- 3.1 Resource Identification -- 3.2 Reference Catalogue of Thesauri -- 4 Identification of Reusability Criteria -- 4.1 5 Star LD Principles -- 4.2 Licence Criteria -- 5 Evaluation of Reusability -- 5.1 Evaluation wrt 5 Star LD Priciples -- 5.2 Evaluation wrt Licence Criteria -- 5.3 Overall Discussion and Recommendations -- 6 Conclusion and Future Work -- References -- Privacy and Security in E-Government -- Empowering Users to Specify and Manage Their Privacy Preferences in e-Government Environments -- 1 Introduction -- 2 Privacy Policy and Preferences Embodiment in e-Government Environments -- 3 Proposed Interface -- 3.1 Specification Taxonomy -- 3.2 Graphical User Interface (GUI) -- 3.3 Security Evaluation -- 4 Related Work -- 5 Conclusions -- References -- Helios Verification: To Alleviate, or to Nominate: Is That the Question, or Shall we Have Both? -- 1 Introduction -- 2 Helios Voting System -- 3 Alleviation Option 1: Copy, Search, Paste. 3.1 "Cast as Intended" Verification. EBL202104 XX SzGeCERN EBL Computer science EBL Information Systems BOOK Francesconi, Enrico https://cds.cern.ch/auth.py?r=EBLIB_P_6301383 ebook n 202115 21 PUBLIC https://catalogue.library.cern/legacy/2764222 BOOK MIGRATED 2764221 SzGeCERN 20210421183814.0 9783319086187 electronic version electronic version 9783319086170 print version oai:cds.cern.ch:2764221 cerncds:BOOK EBL 6301377 eng HD30.2 .K569 2014 658.4038 Uden, Lorna Knowledge management in organizations 9th international conference, KMO 2014, Santiago, Chile, September 2-5, 2014, proceedings Cham Springer International Publishing AG 2014 418 p ebook Lecture notes in business information processing 185 Intro -- Preface -- Organization -- Contents -- Big Data and Knowledge Management -- Genetic Algorithms and Game Theory for Airport Departure Decision Making: GeDMAN and CoDMAN -- 1 Introduction -- 2 Related Work about Two Decision Methods: HOTRAN and CDM -- 2.1 Transport Time (HOTRAN) Method -- 2.2 Collaborative Decision Making (CDM) Method -- 3 Departure Management with Genetic Algorithms - GeDMAN -- 3.1 Genetic Algorithms -- 3.2 Solution Modeling -- 3.3 Results -- 4 Departure Management with Game Theory - CoDMAN -- 4.1 Game Theory -- 4.2 Solution Modeling -- 4.3 Results -- 5 Comparing GeDMAN and CoDMAN -- 6 Conclusion -- References -- Big Data in Land Records Management in Kenya: A Fit and Viability Analysis -- Abstract -- 1 Introduction -- 2 What is Big Data? -- 3 Problem Statement -- 4 Theoretical Framework -- 5 Methodology -- 6 Findings and Discussions -- 6.1 Fit -- 6.1.1 Volume -- 6.1.2 Velocity -- 6.1.3 Variety -- 6.1.4 Veracity -- 6.1.5 Value -- 6.2 Viability -- 6.2.1 Economy -- 6.2.2 Infrastructure -- 6.2.3 Skills -- 6.2.4 Culture -- 6.2.5 Structure -- 7 Conclusion -- References -- Big Data Analytics: A Threat or an Opportunity for Knowledge Management? -- Abstract -- 1 Introduction -- 1.1 Purpose -- 1.2 Context -- 2 Spotting the Opportunity -- 3 The Thorny Issue of Definition -- 4 Big Data Analytics: The Questions -- 5 On Limitations and Insights -- 6 The Case for a Discursive Approach -- 7 Discussion and Conclusions -- References -- Open Data and Big Data: A Perspective from Colombia -- Abstract -- 1 Introduction -- 2 Background -- 3 Open Data in Colombia -- 3.1 Legal Framework -- 4 Conclusions -- References -- Knowledge Management Practiceand Case Studies -- Managers' Interactions and Their Effect on Productivity: A Case Study on a Product-Design Organization -- Abstract -- 1 Introduction. 2 Assessing Managers' Interactions in a Hierarchical Organization -- 2.1 Capturing F-to-F Interaction -- 2.2 Organizational Chart as a Framework for Behavioral-Pattern Extraction -- 2.3 F-to-F Interaction Centrality Index in Organization Hierarchy -- 3 Data Collection in a Product-Design Organization -- 3.1 F-to-F Data Collection -- 3.2 Supplemental Data Collection -- 4 Data Analysis and Results -- 4.1 F-to-F Centrality Index -- 4.2 Analysis of KM Causal Process -- 5 Discussion and Evaluation -- 6 Concluding Remarks -- Acknowledgements -- References -- Identification of Motivational Factors Influencing the Return of Researchers Focusing on the Slovak Environment -- Abstract -- 1 Introduction -- 2 International Mobility of Researchers -- 3 Objective and Methodology -- 4 Results of the Empirical Research -- 5 Identification of Main Problems and Proposal of Suitable Recommendations -- 6 Conclusion -- Acknowledgements -- References -- Developing Start-up Ecosystem in Small Cities: Case of Zcaronilina and Leipzig City -- Abstract -- 1 Introduction -- 2 Start-up Ecosystems -- 3 Research Approach and Methodology -- 4 Case of Leipzig City -- 4.1 Analysis of the Start-up Ecosystem in Leipzig -- 4.2 Results -- 5 Case of Zcaronilina City -- 5.1 Analysis of the Start-up Ecosystem in Zcaronilina -- 5.2 Results -- 6 Discussion -- 7 Conclusion -- Acknowledgements -- References -- Knowledge Management Model as a Factor of Educative Quality: Towards an Excellence Model -- Abstract -- 1 Introduction -- 2 Conceptualization -- 3 Methodology of the Case Study -- 4 Knowledge Management Model for Educational Institutions -- 4.1 Learning Capability of the Organizational System -- 4.1.1 The Stocks of Knowledge -- 4.1.2 Knowledge Flows -- 4.2 Knowledge Management Elements -- 4.2.1 Elements of Technical-Structural -- 4.2.2 Elements of Behavior Management. 5 Contributions, Impact Analysis and Model Assessment -- 6 Conclusions -- Acknowledgment -- References -- Antecedents of Empowerment and Commitment to Service Quality in the Chinese Hotel Industry -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Concept of Empowerment -- 2.2 Organisational Antecedents to Employee Empowerment -- 3 Hypothesis -- 4 Methodology -- 4.1 Setting and Research Sample -- 4.2 Survey Instrument -- 4.3 Reliability of the Constructs -- 5 Findings -- 6 Conclusion -- References -- Developing Data Analytics to Improve Services in a Mechanical Engineering Company -- Abstract -- 1 Introduction -- 2 Big Data -- 3 Data Analytics -- 4 Servitization -- 5 Case Study -- 6 Proposed Model -- 7 Conclusion -- References -- Predicting Grades Based on Students' Online Course Activities -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 The Toolbox -- 2.2 Data Collection -- 2.3 Data Pre-processing -- 2.4 Data Mining -- 3 Results -- 4 Conclusion -- References -- What Government Subsidiary Projects Can Learn from Each Other: The Case of SBIR and SIIR in Taiwan -- Abstract -- 1 Introduction -- 2 Brief Background on SBIR and SIIR -- 2.1 SBIR -- 2.2 SIIR -- 3 Learning and Sharing Between SBIR and SIIR -- 4 Conclusions and Future Work -- References -- E-HR Adoption in Taiwan: An Exploration of Potential Multilevel Antecedents and Consequences -- Abstract -- 1 Introduction -- 2 Theoretical and Literary Background -- 2.1 Antecedents of Firm Level E-HR Adoption -- 2.2 Antecedents of Personnel Level E-HR Adoption -- 2.3 Firm-Level Consequence of E-HR Adoption -- 2.4 Personnel-Level Consequences of E-HR Adoption -- 3 Research Method -- 3.1 Research Framework and Hypotheses -- 3.2 Research Design and Sample -- 3.3 Research Instrument and Measurement -- 4 Preliminary Results -- 5 Discussion and Conclusions. 6 Limitations and Future Research Suggestions -- Acknowledgement -- References -- The Influence of Theory-Practice Gap on Knowledge Transfer at the Point of Clinical Placement -- Abstract -- 1 Introduction -- 1.1 Challenges of Knowledge Transfer at the Point of Clinical Placement -- 2 Conceptual Framework -- 2.1 Research Objective -- 2.2 Research Hypotheses -- 3 Methodology -- 3.1 Method -- 3.2 Sample -- 3.3 Ethical Issues -- 4 Finding and Analyses -- 4.1 Descriptive Statistic -- 5 Discussion -- References -- Information Technologyand Knowledge Management -- Knowledge Management Tools and Their Role in Doctoral Studies -- Abstract -- 1 Introduction -- 2 Knowledge Management in Doctoral Studies at the University -- 2.1 KM Tools -- 3 Research Approach and Methodology -- 4 Analyses of Knowledge Tools Used in Doctoral Studies -- 4.1 Results of the Analysis of KM Tools Used During Doctoral Studies -- 5 Recommendations for Effective Work with Knowledge Using Knowledge Management Tools in Doctoral Studies -- 6 Conclusion -- Acknowledgements -- References -- A Multiple Domain Analysis and Systems Modelling Intelligence Architecture -- Abstract -- 1 Introduction -- 2 Overall System Architecture and Feature Variability Model -- 3 Software Architectural Design -- 3.1 Scenario Definition -- 3.2 Architectural View Point Definitions -- 3.3 Architectural Views -- 4 Data Conformance and Standardization -- 5 Implementation and Results -- 6 Discussion -- 7 Conclusion -- References -- Increasing User Engagement Using Innovative Poll First Content Delivery Method -- Abstract -- 1 Introduction -- 2 Importance of User Engagement -- 3 Role of Interactive Polls in Increasing User Engagement -- 4 Study on Existing Content Delivery Platforms -- 4.1 Social Media Platform -- 4.2 Interactive Television -- 4.3 Wearable Devices -- 4.4 Smartphones/Tablets -- 4.5 Websites. 4.6 Blogs -- 5 Research Methodologies -- 6 Building Prototype -- 7 Evaluation Procedures -- 8 Research Findings -- 9 Limitations -- 10 Recommendations -- 11 Conclusions -- Information Privacy Concerns in Electronic Medical Records: A Preliminary Investigation -- Abstract -- 1 Introduction -- 2 Information Privacy Concerns -- 3 Research Methodology -- 3.1 Step 1: Data Preparation Phase -- 3.2 Step 2 and 3: Data Exploration Phase and Data Reduction Phase -- 4 Discussion on Interviews Outcomes -- 5 Conclusion and Future Works -- Acknowledgements -- References -- Knowledge Management Systems -- The End of the Road?: Position Paper -- Abstract -- 1 Introduction -- 2 Prevailing Challenges of KM Systems -- 3 Rethinking KM -- 3.1 The Role of Ontologies and Semantic Web -- 3.2 Activity Theory -- 3.3 Co-creation of Value -- 3.4 The KM Environment -- 4 Fitting It All Together -- 5 Conclusion -- 6 Future Works -- References -- A Semantic Web Approach for Visualization-Based News Analytics -- 1 Introduction -- 2 Related Work -- 3 Framework -- 3.1 Objects -- 3.2 The Timeline -- 3.3 Pattern Detection -- 4 Evaluation -- 4.1 Test Setup -- 4.2 Tests -- 4.3 Experiment Results -- 4.4 Experiment Limitations -- 5 Conclusions and Future Work -- References -- Exploring Affecting Factors on Green IT Adoption -- Abstract -- 1 Introduction -- 2 Theoretical Background -- 3 Research Model -- 3.1 Top Management Support -- 3.2 Governance Support -- 3.3 Perceived Organizational G-readiness -- 3.3.1 Resources -- 3.3.2 Governance -- 3.4 Green IT Drivers -- 3.4.1 Economic Drivers -- 3.4.2 Environmental Compliance Drivers -- 4 Research Methodology -- 4.1 Sampling Procedures and Characteristics -- 4.2 Measurement -- 5 Data Analysis -- 5.1 Assessing the Measurement Model -- 5.2 Assessing the Structural Model -- 6 Discussion and Conclusion -- 7 Limitations -- References. Knowledge Managementand Social Networks. EBL202104 XX SzGeCERN BOOK Fuenzaliza Oshee, Darcy Ting, I-Hsien Liberona, Dario https://cds.cern.ch/auth.py?r=EBLIB_P_6301377 ebook n 202115 21 PUBLIC https://catalogue.library.cern/legacy/2764221 BOOK MIGRATED 2764202 SzGeCERN 20210421183814.0 9783319159942 electronic version electronic version 9783319159935 print version oai:cds.cern.ch:2764202 cerncds:BOOK EBL 6301059 eng QA75.5-76.95 363.70285 Denzer, Ralf Environmental software systems infrastructures, services and applications 11th IFIP WG 5. 11 international symposium, ISESS 2015, Melbourne, VIC, Australia, March 25-27, 2015, proceedings Cham Springer International Publishing AG 2015 629 p ebook IFIP advances in information and communication technology 448 Intro -- Preface -- Organization -- Table of Contents -- Keynotes and Context Articles -- A Provenance Maturity Model -- 1 Introduction -- 2 The PMM -- 3 Evaluation -- 4 Related Work -- 5 Conclusion -- Challenges in Modelling of Environmental Semantics -- 1 Introduction -- 2 Semantics for an Environmental Information Space -- 3 Case Study -- 4 Epilogue -- References -- Topics in Environmental Software Systems -- 1 Introduction -- 2 The Conference Landscape -- 2.1 EnviroInfo -- 2.2 ISESS -- 2.3 MODSIM -- 2.4 IEMSS -- 2.5 The White Spots on the Map -- 3 The ISESS Conference Series -- 4 A Complete History of Events -- 4.1 ISESS Conferences -- 4.2 ISESS Workshops and Co-organised Events -- 5 ISESS 2001-2009 Second Editions and Enviromatics.org -- 6 A Review of ISESS Topics -- 7 Patterns in Environmental Software Systems? -- References -- The Framework for Environmental Software Systemsof the European Environment Agency -- 1 Introduction -- 2 Structure of the Multiannual Work Programme 2014-2018 -- 3 Shared Environmental Information System -- 4 Copernicus -- 4.1 Earth Observation of the Land Services of Copernicus -- 4.2 Copernicus and INSPIRE -- 4.3 Copernicus Services Challenges -- 5 INSPIRE -- 5.1 INSPIRE Enabled Interoperability of Spatial Data Sets and Services -- 6 Conclusion -- References -- Crowdsourcing in Crisis and Disaster Management -Challenges and Considerations -- 1 Introduction -- 2 Crowdsourcing in Crisis Management -- 2.1 What Is Crowdsourcing? -- 2.2 Social Data Mining and Crowdsourcing in Crisis Management -- 2.3 Crowdtasking and Micro-task Markets -- 3 Use Cases, Existing Systems or Applications -- 3.1 Social Sensors for Security Assessments and Proactive EmergencyManagement -- 3.2 Environmental Crowdsourcing Techniques for Improved Water Qualityin Rural India. 3.3 Using Crowdsourcing to Fight Climate Change Effects on Agriculture -- 3.4 Resilience Enhancement by Crowdsourcing and -Tasking -- 4 Key Challenges of Crowdsourcing and Crowdtaskingin Crisis Management -- 4.1 Information Extraction and Uncertainty -- 4.2 Self-organization -- 4.3 Incentives for Participation -- 4.4 Ethical Considerations -- 5 Conclusions -- References -- Evolution of Environmental Information Models -- 1 Introduction -- 2 Background -- 2.1 The INSPIRE Directive -- 3 Process and Stakeholders -- 4 Examples -- 4.1 INSPIRE Data Specifications - Tight Governance -- 4.2 INSPIRE Extensions - Loose Governance -- 5 Lessons Learned -- References -- Information Systems, Information Modelling and Semantics -- An Interactive Website for the River Eurajoki -- 1 Introduction -- 2 Materials and Methods -- 2.1 River Eurajoki and its Observation -- 2.2 Requirements -- 2.3 Architecture -- 2.4 Software -- 3 Results and Discussion -- 3.1 Water Quality Mapping -- 3.2 Ad Hoc Observation Service -- 3.3 Story Map Editor -- 3.4 Overall Assessment -- 4 One or Two Standards for Geospatial Featuresand Observation Data? -- 5 Conclusion -- References -- An Information Model for a Water Information Platform -- 1 Introduction and Related Work -- 2 Platform Architecture -- 3 Considerations about Standards and Information Models -- 4 Platform Information Model -- 5 Mapping to Related Standards -- 6 Future Work -- References -- Towards Linked Data Conventions for Deliveryof Environmental Data Using netCDF -- 1 Introduction -- 2 Linked Data and JSON-LD -- 2.1 JSON-LD -- 3 netCDF-LD -- 3.1 netCDF Conventions -- 3.2 Example Encodings and Resulting RDF Graphs -- 4 Discussion and Related Work -- 5 Conclusion and Future Work -- References -- Information Technology and Solid Residue Management:A Case of Study Using Freeware and Social Networks -- 1 Introduction. 2 Science, Technology and the Environmental Issue -- 2.1 A Local Context to the Issue of Waste Recycling -- 3 Computational Tools to Support Selective Collection -- 4 Introducing iCare -- 5 Concluding Remarks -- References -- Joining the Dots: Using Linked Data to Navigatebetween Features and Observational Data -- 1 Introduction -- 2 System Overview -- 3 Implementation -- 4 Related Work -- 5 Discussion -- 6 Conclusion -- References -- An SMS and Email Weather Warning Systemfor Sheep Producers -- 1 Introduction -- 2 Methodology -- 2.1 System Architecture -- 2.2 Chill Modelling and Calculation of Thresholds -- 2.3 Forecast Skill -- 2.4 Trial Evaluation -- 3 Results -- 3.1 Trial Results -- 3.2 Forecast Skill -- 4 Discussion -- 5 Conclusion -- References -- The Emergency Response Intelligence Capability Tool -- 1 Introduction -- 2 Related Work -- 3 Harmonising Emergency Event Information -- 3.1 Web Feed Aggregation -- 3.2 Common Web Feed Model -- 3.3 Harmonising Examples -- 4 Discussion and Future Work -- 4.1 Architectural Improvements -- 4.2 Common Alerting Protocol -- 4.3 Social Media Integration -- 5 Conclusions -- References -- Civic Issues Reporting and Involvement of Volunteersas a Phenomenon in the Czech Republic -- 1 Introduction -- 2 The ZmapujTo Web Portal -- 3 System Architecture -- 4 Efficient Report Management -- 5 Voluntary Event -- 6 Conclusion -- References -- Mobile Field Data Collection for Post Bushfire Analysisand African Farmers -- 1 Introduction -- 2 CSIRO Surveyor -- 2.1 Basic System Design -- 2.2 Consideration of Infrastructure Breakdown -- 2.3 Data Integrity and Cross Checking -- 2.4 Usage Statistics -- 2.5 Planned Improvements -- 3 DroidFarmer -- 3.1 Basic System Design -- 3.2 Dealing with a Low Tech Community -- 3.3 Data Validation and Statistics -- 4 Controlling the User Experience. 5 Platform Specific vs. Platform Independent -- 6 Conclusions -- References -- Provenance in Systems for Situation Awarenessin Environmental Monitoring -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Decision Support Tools and Systems -- Decision Making and Strategic Planning for DisasterPreparedness with a Multi-Criteria-Analysis DecisionSupport System -- 1 Introduction -- 2 Concept Overview -- 3 Ordered Weighted Averages as a Means for Decision Support -- 4 The Implementation -- 4.1 Scenario Analysis and Comparison View -- 4.2 Multi Criteria Analysis and Decision Support View -- 5 Conclusion and Outlook -- References -- A Cotton Irrigator's Decision Support Systemand Benchmarking ToolUsing National, Regional and Local Data -- 1 Background -- 2 The IrriSAT Concept -- 3 Establishing the Next Generation IrriSAT -- 3.1 Remotely Sensed Imagery -- 3.2 On-ground Weather Observations -- 3.3 Irrigation and Rainfall -- 3.4 Benchmarking-Based Irrigation Decision Support -- 4 Conclusion -- References -- Water Pollution Reduction: Reverse CombinatorialAuctions Modelling Supporting Decision-MakingProcesses -- 1 Introduction -- 2 Decision-Making Diagram -- 3 Models for Calculating a Cost-Effective Solutionwith Environmental Criteria -- 3.1 Model with One Environmental Criterion -- 3.2 Model with Multiple Environmental Criteria -- 4 CRAB - CombinatoRial Auction Body Software System -- 4.1 Overview -- 4.2 Practical Use -- 4.3 Transforming Combinatorial Auction to Binary Programming Problem -- 4.4 Solving -- 5 Case Studies Results -- 5.1 Case with Single Environmental Criterion -- 5.2 Case with Multiple Criteria -- 6 Discussion and Conclusion -- References -- Scenario Planning Case StudiesUsing Open Government Data -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Problem Definition. 3.2 Obtain the Data -- 3.3 Load the Data -- 3.4 Define the Decision Making Model Function -- 3.5 Update the Website -- 4 Gathering Data -- 4.1 The Australian Statistical Geography Standards (ASGS) -- 4.2 Public Transport Travel Times -- 5 Government Office Locations Case Study -- 5.1 Description -- 5.2 Process -- 6 Urban Parks Accessibility and Demand Case Study -- 6.1 Description -- 6.2 Process -- 7 Discussion and Future Work -- 8 Conclusions -- Training Support for Crisis Managers with Elementsof Serious Gaming -- 1 Introduction -- 2 Decision Support Concept and the Resource ManagementTraining Scenario -- 2.1 Resource Management Training Scenario -- 3 Concept and Implementation -- 3.1 Objects of Interest -World State Repository -- 3.2 OOI Models and Serious Gaming -- 3.3 User Interfaces -- 4 Transferability and the Path Ahead -- References -- A Software System for the Discovery of SituationsInvolving Drivers in Storms -- 1 Introduction -- 2 Materials and Methods -- 3 Discussion -- 4 Conclusion -- References -- Modelling and Simulation Systems -- An Application Framework for the Rapid Deploymentof Ocean Models in Support of Emergency Services:Application to the MH370 Search -- 1 Introduction -- 2 Trike -- 2.1 Defining the Model Domains -- 2.2 Data Preparation -- 2.3 Running a Model -- 2.4 Current and Future Work -- 3 Application to MH370 -- 4 Conclusion -- References -- Exposure Modeling of Traffic and Wood CombustionEmissions in Northern Sweden -- 1 Introduction -- 2 Software -- 3 Method -- 4 Results and Discussion -- 5 Conclusions -- References -- Medium-Term Analysis of Agroecosystem Sustainabilityunder Different Land Use Practices by Meansof Dynamic Crop Simulation -- 1 Introduction -- 2 Material and Methods -- 3 Changes in the AGROTOOL Software -- 4 Changes in the APEX Software -- 5 Results -- References. SPARK - A Bushfire Spread Prediction Tool. EBL202104 XX SzGeCERN BOOK Argent, Robert M Schimak, Gerald Hřebíček, Jiří https://cds.cern.ch/auth.py?r=EBLIB_P_6301059 ebook n 202115 21 PUBLIC https://catalogue.library.cern/legacy/2764202 BOOK MIGRATED 2764200 SzGeCERN 20210421183814.0 9783319483542 electronic version electronic version 9783319483535 print version oai:cds.cern.ch:2764200 cerncds:BOOK EBL 6301032 eng QA75.5-76.95 630.2085 Li, Daoliang Computer and computing technologies in agriculture IX 9th IFIP WG 5. 14 international conference, CCTA 2015, Beijing, China, September 27-30, 2015, revised selected papers, part II Cham Springer International Publishing AG 2016 620 p ebook IFIP advances in information and communication technology 479 Intro -- Preface -- Conference Organization -- Contents -- Part II -- Contents -- Part I -- Effects of Waterlogging and Shading at Jointing and Grain-Filling Stages on Yield Components of Winter Wheat -- Abstract -- 1 Introduction -- 2 Experiments and Methods -- 2.1 Experimental Design -- 2.2 Statistics Analysis -- 3 Results -- 3.1 Effects of Waterlogging and Shading on Wheat Grain Yield at Jointing Stage -- 3.2 Effects of Waterlogging and Shading on Wheat Grain Yield at Grain-Filling Stage -- 4 Discussion -- 5 Conclusions -- Acknowledgment -- References -- The Measurement of Fish Size by Machine Vision - A Review -- Abstract -- 1 Introduction -- 2 Image Acquisition -- 2.1 Sonar -- 2.2 Single Camera -- 2.3 Stereo Camera -- 3 Length Measurement -- 3.1 Length Measurement in 2D -- 3.1.1 Linear Measurement -- 3.1.2 Non-linear Measurement -- 3.2 Length Measurement in 3D -- 4 Area Measurement -- 5 Discussion and Perspective -- 6 Conclusion -- Acknowledgment -- References -- Study on Growth Regularity of Bacillus Cereus Based on FTIR -- Abstract -- 1 Introduction -- 2 Experiments and Methods -- 2.1 Experimental Material and Instruments -- 2.2 Experimental Methods -- 2.2.1 LB Culturing Medium Configuration -- 2.2.2 Measurement of the Reproduction Number -- 2.2.3 Growth Regularity of Microbe -- 2.2.4 Detection of FTIR -- 3 Results and Discussion -- 3.1 FTIR Analysis of Bacillus Cereus -- 3.2 The Two Order Derivative Spectrum Analysis of Bacillus Cereus -- 3.2.1 Composition of Bacillus Cereus -- 3.2.2 The Second Order Derivative Spectrum Analysis of Bacillus Cereus in Different Periods -- 4 Conclusion -- Acknowledgements -- References -- Soybean Extraction of Brazil Typical Regions Based on Landsat8 Images -- Abstract -- 1 Introduction -- 2 Study Area and Data Source -- 2.1 Study Area -- 2.2 Data -- 3 Methodology -- 4 Results and Discussion. 5 Conclusions -- Acknowledgment -- References -- Study on Landscape Sensitivity and Diversity Analysis in Yucheng City -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Area Situation -- 2.2 Scale Effect System and Landscape Significance -- 3 Results and Analysis -- 3.1 Correlation Analysis of Landscape Index -- 3.2 Sensitivity Analysis and Spatial Pattern of 12 Landscapes -- 4 Conclusions -- Acknowledgements -- References -- Application and Implementation of Private Cloud in Agriculture Sensory Data Platform -- Abstract -- 1 Introduction -- 2 Overall Design of Private Cloud in Agricultural Sensor Data Platform -- 3 The Design of SensorCache Based on Private Cloud in Hadoop Sensor Data Platform -- 3.1 The Design of the Memcached and Mysql Cluster -- 4 The Design of SensorManager Based on Private Cloud in Hadoop Sensor Data Platform -- 5 The Design of SensorStorage and SensorStor in Sensor Data Platform -- 5.1 The Design of NoSql's Sensor Data -- 6 Conclusions -- Acknowledgements -- References -- Analysis of Differences in Wheat Infected with Powdery Mildew Based on Fluorescence Imaging System -- Abstract -- 1 Introduction -- 2 Experiments and Methods -- 2.1 Design of Field Trials -- 2.2 Leaf Selection -- 2.3 Fluorescence Data Acquisition -- 2.4 Rapid Light-Response Curve Fitting -- 2.5 Fluorescence Parameter Selection -- 3 Results and Discussion -- 3.1 Changes in Rapid Light-Response Curves of Wheat Leaves Infected with Powdery Mildew Based on Dif ... -- 3.2 Changes in Characteristic Parameters of Rapid Light-Response Curves -- 3.3 Heterogeneity of Chlorophyll Fluorescence Imaging at Different Severity Levels -- 4 Conclusions -- Acknowledgements -- References -- Research on Video Image Recognition Technology of Maize Disease Based on the Fusion of Genetic Algorithm and Simulink Platform -- Abstract -- 1 Introduction. 2 The Research Method -- 2.1 Simulink -- 2.2 Genetic Algorithms -- 2.3 Video Analyses -- 2.4 Image Classification -- 3 The Genetic Algorithm with Simulink Platform Integration of Video Image Recognition Technology of Corn -- 3.1 Data Mining Based on Genetic Algorithm -- 3.2 Data Collection and Data Processing -- 3.3 SUMILINK Platform for Data Processing -- 3.4 Maize Disease Image Recognition Experiment Result Analysis -- 4 Results and Discussion -- Acknowledgments -- References -- The Design and Implementation of Online Identification of CAPTCHA Based on the Knowledge Base -- Abstract -- 1 Introduction -- 2 Knowledge Representation -- 3 The Design of CAPTCHA Based on the Knowledge Base -- 3.1 The Design of the Database and Table for Knowledge Base -- 3.2 CAPTCHA Generation Algorithm -- 3.3 CAPTCHA Validation Algorithm -- 3.4 CAPTCHA Implementation -- 4 Conclusion -- Acknowledgments -- References -- Research and Application of Monitoring and Simulating System of Soil Moisture Based on Three-Dimensional GIS -- Abstract -- 1 Introduction -- 2 Regional and Methods -- 2.1 Regional -- 2.2 Research Program -- 2.3 Data Collection and Knowledge Acquisition -- 2.4 Data Analysis and Processing -- 2.5 Construction and Scenario Simulation Model of Three-Dimensional GIS -- 3 Development of GIS-Based Three-Dimensional Simulation of Soil Moisture Monitoring System -- 3.1 Dynamic Scene Generations -- 3.2 Dynamic Monitoring Module -- 4 Discussion -- Acknowledgments -- References -- Colorimetric Detection of Mercury in Aqueous Media Based on Reaction with Dithizone -- Abstract -- 1 Introduction -- 2 Materials and Instrumentation -- 2.1 Materials -- 2.2 Instrumentation -- 3 Results and Discussion -- 3.1 Data Preprocessing -- 3.2 The Selection of Relevant Bands -- 3.3 Modeling Results -- 4 Conclusions -- Acknowledgment -- References. Study on the Prediction Model Based on a Portable Soil TN Detector -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Soil TN Detector Design -- 2.2 Experimental Methods -- 2.3 The Evaluation of Soil TN Predicted Model -- 3 Result and Discussion -- 3.1 Soil Spectral Data Pretreatment -- 3.2 Establishment of Soil TN Predicted Models -- 3.3 Discussions -- 4 Conclusions -- Acknowledgment -- References -- A Research on the Task Expression in Pomology Information Retrieval -- Abstract -- 1 Introduction -- 2 The Idea of the Task Expression in Pomology Information Retrieval -- 3 Materials and Methods -- 4 Data and Analysis -- 5 Conclusion -- Acknowledgements -- References -- Prediction of the Natural Environmental High Temperature Influences on Mid-Season Rice Seed Setting ... -- Abstract -- 1 Introduction -- 2 Data and Methods -- 2.1 Data -- 2.2 Methods -- 2.2.1 Definition of the Heat Stress Index -- 2.2.2 Validation of the Forecast Model -- 3 Results -- 3.1 Daily Variation Characteristics of the Maximum Temperature -- 3.2 High Temperature Effects on RSSR -- 3.3 Statistical Forecast Models of Ihs -- 3.4 Quantitative Forecast Model of High Temperature Effects on Rice -- 4 Conclusions -- Acknowledgment -- References -- Study on the Mutton Freshness Using Multivariate Analysis Based on Texture Characteristics -- Abstract -- 1 Introduction -- 2 Experiments and Methods -- 2.1 Experimental Samples -- 2.2 Experimental Methods -- 3 Results and Discussion -- 3.1 Changes of Mutton Freshness -- 3.2 Texture Characteristic Parameters of Mutton Changed with Freshness -- 3.3 Discrimination of Mutton Freshness by PCA and CDA -- 3.4 Prediction of Mutton Freshness Using Texture Characteristic Parameters -- 4 Conclusions -- Acknowledgments -- References -- Research and Application on Protected Vegetables Early Warning and Control of Mobile Client System. Abstract -- 1 Introduction -- 2 System Design -- 2.1 System Framework -- 2.2 Technology Adopted -- 2.2.1 Storage for Remote Data -- 2.2.2 Server Balanced Loading -- 2.2.3 WCF Server -- 2.2.4 Automatic Detection of Server -- 2.3 System Control Process -- 2.4 Data Communication Protocol -- 3 System Realization -- 3.1 Data Collection -- 3.2 Early Warning -- 3.3 Device Control -- 4 Conclusions -- Acknowledgment -- References -- The Study of Winter Wheat Biomass Estimation Model Based on Hyperspectral Remote Sensing -- Abstract -- 1 Introduction -- 2 Site Description -- 3 Methods -- 3.1 Model Description -- 3.2 Model Verification -- 4 Results and Discussions -- 5 Conclusion -- Acknowledgments -- References -- Design and Implementation of TD-LTE-Based Real-Time Monitoring System for Greenhouse Environment Temperature -- Abstract -- 1 Introduction -- 2 Overall Design System -- 3 Temperature Acquisition Module Design -- 3.1 TD-LTE -- 3.2 Embedded -- 3.3 Operating System -- 3.4 Data Communication -- 4 Server -- 4.1 Data Reception -- 4.2 Data Monitoring -- 5 System Implementation -- 5.1 Data Acquisition -- 5.2 Data Monitoring -- 5.3 Historical Data -- 6 Conclusions -- Acknowledgment -- References -- Research and Design of LVS Cluster Technology in Agricultural Environment Information Acquisition System -- Abstract -- 1 Introduction -- 2 System Structure -- 3 Key Technologies -- 3.1 Load Balancing -- 3.2 Cluster Profile -- 3.3 LVS -- 3.4 Keepalived -- 4 LVS Implementation -- 4.1 LVS Working Mode -- 4.2 Firewall -- 4.3 Yum -- 4.4 Configure Load Balancing Controller, the Command -- 4.5 Real-Server, the Command -- 5 Test -- 6 Conclusions -- Acknowledgment -- References -- Information Acquisition for Farmland Soil Carbon Sink Impact Factors Based on ZigBee Wireless Network -- Abstract -- 1 Introduction -- 2 Analysis on Impact Factors of Soil Carbon Sink in Farmland. 3 Survey of the Research Area and Research Method. EBL202104 XX SzGeCERN BOOK Li, Zhenbo https://cds.cern.ch/auth.py?r=EBLIB_P_6301032 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2764200 BOOK MIGRATED 2764189 SzGeCERN 20210421183815.0 9783319762708 electronic version electronic version 9783319762692 print version oai:cds.cern.ch:2764189 cerncds:BOOK EBL 6298978 eng QA76.9.E57 .A383 2018 790.20285 Cheok, Adrian David Advances in computer entertainment technology 14th international conference, ACE 2017, London, UK, December 14-16, 2017, proceedings Cham Springer International Publishing AG 2018 911 p ebook Lecture notes in computer science 10714 Intro -- Preface -- Organization -- Can Robots and Humans Make Babies Together? (Keynote Speech) -- Contents -- Creating Room-Scale Interactive Mixed-Reality Worlds Using Off-the-Shelf Technologies -- Abstract -- 1 Introduction -- 2 Related Research -- 3 Accurate Real-Object Representations -- 3.1 Photogrammetry -- 3.2 3D Scanning -- 4 MR World Materialization -- 4.1 Real Object Registration to the MR World -- 4.2 Real-Time Hand Representation -- 4.3 Object Tracking Accuracy Issues -- 5 Conclusion and Future Work -- Acknowledgment -- References -- Evaluation of a Mixed Reality Head-Mounted Projection Display to Support Motion Capture Acting -- 1 Introduction -- 2 Related Work -- 3 Our Concept of Supporting Motion Capture Acting -- 4 Prototype Description -- 5 User Tests -- 5.1 Procedure -- 5.2 Description of Acting Scenes -- 6 Evaluation Results -- 6.1 Card Sorting -- 6.2 Interviews -- 6.3 Technology and Usability Evaluation -- 6.4 Observation -- 7 Discussion and Conclusion -- 8 Future Work -- References -- Step by Step: Evaluating Navigation Styles in Mixed Reality Entertainment Experience -- Abstract -- 1 Introduction -- 2 Related Work -- 3 MR Experience: "The Old Pharmacy" -- 4 Study: Navigation Styles in a MR Experience -- 4.1 Experimental Design -- 4.2 Demographics -- 4.3 Procedure and Measures -- 4.4 Data Analysis -- 4.5 Quantitative Data Results -- 4.6 Qualitative Data Results -- 5 Discussion -- 6 Conclusion and Future Work -- Acknowledgments -- References -- Increasing Presence in a Mixed Reality Application by Integrating a Real Time Tracked Full Body Representation -- 1 Introduction -- 2 Passive Haptics -- 2.1 Mixed Reality -- 2.2 Controls in Mixed Reality -- 3 Development of a Mixed Reality Application -- 3.1 Setting -- 3.2 Task -- 4 Evaluation -- 4.1 Participants -- 4.2 Results -- 5 Discussion -- References. An Approach to Basic Emotion Recognition Through Players Body Pose Using Virtual Reality Devices -- Abstract -- 1 Introduction -- 2 Using Emotions in Video Games -- 3 Detecting Players Poses -- 4 Results and Discussion -- 5 Conclusion -- References -- Development and Evaluation of an Interactive Therapy Robot -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Internet Survey -- 3.1 Participants -- 3.2 Survey Items -- 3.3 Survey Results -- 4 Implementation -- 4.1 Interactive Functions -- 4.2 Design -- 4.3 System Configuration -- 5 Interview Evaluations of the Interactive Therapy Robot -- 5.1 Interview Style -- 5.2 Participants -- 5.3 Survey Procedure -- 5.4 Interview Results -- 6 Discussion -- 6.1 Target of the Interactive Therapy Robot -- 6.2 The Appearance of the Interactive Therapy Robot -- 6.3 Motions of the Interactive Therapy Robot While Listening and During Conversations -- 7 Conclusions -- 8 Future Work -- Acknowledgement -- Appendix -- References -- Lost Puppy: Towards a Playful Intervention for Wandering Dementia Patients -- 1 Introduction -- 2 Related Work -- 3 Addressing the Senses of People with Dementia -- 4 Context of the Exit -- 4.1 Interviews -- 5 Design of the Proposed Puppy Prototype -- 5.1 A Stuffed Animal -- 5.2 Location -- 5.3 Technical Implementation -- 6 Pilot Evaluation -- 7 Discussion -- 7.1 Improve the Setting, Sensors, Sounds, and Stimuli of the Puppy -- 7.2 Design for Dementia Insights: Towards Guidelines -- 8 Conclusion -- References -- A Dynamic Scenario by Remote Supervision: A Serious Game in the Museum with a Nao Robot -- 1 Introduction -- 2 Robots in Everyday Life -- 3 Playing with Nao in the Museum -- 3.1 First Approach: The Linear Programming of Nao -- 3.2 Modeling and Dynamic Supervision of the Game -- 4 A Dynamic Supervision Approach -- 4.1 Two-Layers Model -- 4.2 Example of the Model for the Robot in Museums. 4.3 Dynamic Supervision -- 5 Conclusion and Future Work -- References -- Hugvie as a Therapeutic Agent in the Improvement of Interaction Skills in Children with Developmenta ... -- Abstract -- 1 Introduction -- 2 The Study -- 3 Participants -- 4 Methodology -- 4.1 RQ1: How Would the Children Respond to Hugvie? -- 4.2 How Would Children Respond to Technology Embedded in Hugvie? -- 4.3 Is It just a Novelty Effect? -- 5 Observational Notes -- 6 Discussion -- 7 Future Work -- Acknowledgments -- References -- A Week Without Plastic Bags: Creating Games and Interactive Products for Environmental Awareness -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Design Process -- 4 Description of the Projects -- 5 Public Presentation and Preliminary Evaluation -- 6 Conclusions -- References -- A Tentative Assumption of Electroacoustic Music as an Enjoyable Music for Diverse People -- Abstract -- 1 Introduction -- 1.1 Workshop -- 1.2 Research on Emotions Evoked by Music -- 1.3 Moving Toward Integration -- 2 Workshop Methods -- 3 Scientifically and Academically Relevant Workshops -- 3.1 Activity 1: Measuring the Effects of the Workshop -- 3.2 Activity 2: Electroacoustic Listening Experiment -- 3.3 Activity 3: Music and Emotion (Symmetric Cognitive Bias) -- 3.4 Activity 4: Music and Its Complexity -- 4 Strategies Toward Funology -- 4.1 Activity Example 4 - Music and Its Complexity -- 4.2 Extension of Awareness and Recognition -- 4.3 Deconstruction of Belief -- 5 Conclusion -- Acknowledgments -- References -- Voice Animator: Automatic Lip-Synching in Limited Animation by Audio -- 1 Introduction -- 2 Related Work -- 2.1 Lip-Sync Animation -- 2.2 Stylized Cartoon Animation -- 2.3 Lip Motion Capture and Estimation -- 3 System Overview -- 3.1 Lip Motion Estimation -- 3.2 Animation Filtering -- 4 Results and Discussion -- 4.1 User Study A: Naturalness. 4.2 User Study B: Our Method Vs. Previous Methods -- 5 Implementation -- 6 Conclusions and Future Work -- References -- Polymorphic Cataloguing and Interactive 3D Visualization for Multiple Context of Digital Content: MoSaIC -- Abstract -- 1 Introduction -- 2 Polymorphic Cataloguing -- 2.1 Modeling of Relationships -- 2.2 Cataloguing Objects with Properties -- 3 Visualization of Catalogue -- 3.1 Polymorphic Topology View -- 3.2 Layer View -- 4 Experiments -- 4.1 Experiment System: MoSaIC -- 4.2 Experiments -- 4.3 Discussion -- 5 Conclusion -- Acknowledgments -- References -- Leveraging Icebreaking Tasks to Facilitate Uptake of Voice Communication in Multiplayer Games -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Voice Communication in Games -- 2.2 Icebreakers to Facilitate Social Interaction -- 3 RET: A System to Study Icebreaking Tasks in Games -- 3.1 Gameplay -- 3.2 Integration of Icebreaking Tasks -- 4 Study: Exploring the Effects of Icebreaking Tasks in Multiplayer Games -- 4.1 Research Questions -- 4.2 Measures -- 4.3 Participants and Procedure -- 4.4 Quantitative Results -- 4.5 Data Analysis -- 4.6 Qualitative Results -- 5 Discussion -- 5.1 The Effects of Icebreaking Tasks on Player Experience -- 5.2 Adapting Icebreaking Tasks to Games -- 6 Limitations and Future Directions -- 7 Conclusion -- References -- Including Non-gamers: A Case Study Comparing Touch and Motion Input in a 3D Game for Research -- 1 Introduction -- 2 Background -- 3 The Game -- 3.1 Iterations and User Testing -- 4 Experiment Design -- 4.1 Measurements -- 4.2 Procedure -- 4.3 Data Processing -- 5 Results -- 6 Discussion -- 7 Conclusion -- References -- Player Adaptivity and Safety in Location-Based Games -- Abstract -- 1 Introduction -- 1.1 Location-Based Games -- 1.2 Adaptivity -- 1.3 Pervasive Exergames -- 2 Gathering Geo-Information -- 2.1 GeoStream. 3 Grappher - A Node-Based Editor for Pervasive Games -- 4 GhostChase - A Case Study -- 5 Adaptivity in GhostChase -- 6 Discussion -- 7 Conclusions and Future Work -- Acknowledgements -- References -- Dreadful Virtualities: A Comparative Case Study of Player Responsespg to a Horror Game in Virtualpg Reality and Flat Screen -- 1 Introduction -- 2 Theoretical Foundation -- 2.1 Horror -- 2.2 Embodied Emotions -- 2.3 Spatial Presence and Immersion -- 3 The Game -- 3.1 Design and Implementation -- 4 Pilot Test -- 5 Experiment Design -- 5.1 Equipment -- 5.2 Questionnaire and Interview Data -- 5.3 Game Metrics and Psycho-Physiological Measures -- 6 Procedure -- 7 Data Analysis and Results -- 7.1 Questionnaire -- 7.2 Interview -- 7.3 Sensor Measures and Game Metrics -- 8 Discussion -- 9 Conclusion -- References -- HapPull: Enhancement of Self-motion by Pulling Clothes -- Abstract -- 1 Introduction -- 2 Related Work -- 3 System -- 3.1 System Configuration -- 3.2 Sensation -- 4 Experiment -- 4.1 Methods -- 4.2 Results and Discussion -- 5 Conclusion -- Acknowledgements -- References -- Promoting Short-Term Gains in Physical Exercise Through Digital Media Creation -- 1 Introduction -- 2 Productivity in Digital Exertion Games -- 3 Music Composition Through Physical Exercise -- 4 Design -- 4.1 Drawing Through Physical Exercise -- 5 Discussion -- 6 Future Work -- 7 Conclusion -- References -- Towards Player Adaptivity in Mobile Exergames -- Abstract -- 1 Introduction -- 2 Player Adaptivity -- 3 User Profiling -- 4 Exergames and Serious Games -- 5 Context-Aware Exergames -- 6 Estimating Player Effort -- 7 Grappher - A Node-Based Editor for Pervasive Games -- 8 User Study -- 8.1 GhostStand - A Mobile Virtual Reality Exergame -- 9 Experimental Setup -- 10 Conclusion -- Acknowledgements -- References. A Hybrid Virtual-Augmented Serious Game to Improve Driving Safety Awareness. EBL202104 XX SzGeCERN BOOK Inami, Masahiko Romão, Teresa https://cds.cern.ch/auth.py?r=EBLIB_P_6298978 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2764189 BOOK MIGRATED 2764171 SzGeCERN 20210421183815.0 9783319669236 electronic version electronic version 9783319669229 print version oai:cds.cern.ch:2764171 cerncds:BOOK EBL 6295484 eng QA75.5-76.95 658.5 Lödding, Hermann Advances in production management systems the path to intelligent, collaborative and sustainable manufacturing IFIP WG 5. 7 international conference, APMS 2017, Hamburg, Germany, September 3-7, 2017, proceedings, part I Cham Springer International Publishing AG 2017 576 p ebook IFIP advances in information and communication technology 513 Intro -- Preface -- Organization -- Contents -- Part I -- Contents - Part II -- Smart Manufacturing System Characterization -- Strategizing for Production Innovation -- Abstract -- 1 Introduction -- 2 Basic Concepts -- 3 Strategizing for Production Innovation -- 4 A Production Innovation Guide -- 5 Conclusions -- References -- A Maturity Model for Assessing the Digital Readiness of Manufacturing Companies -- Abstract -- 1 Research Context and Objective -- 2 Building a Maturity Model -- 3 The Digital Readiness Assessment Maturity Model -- 3.1 Designing the Maturity Model -- 3.2 Populating the Maturity Model -- 4 Conclusions -- References -- Improvement Strategies for Manufacturers Using the MESA MOM Capability Maturity Model -- Abstract -- 1 Introduction -- 2 Overview of MESA MOM/CMM -- 3 Related Works -- 4 Restructure of MESA MOM/CMM -- 5 Improvement Strategies -- 6 Conclusion and Discussion -- References -- Auto-configurable Event-Driven Architecture for Smart Manufacturing -- Abstract -- 1 Introduction -- 2 Auto-configurable EDA -- 2.1 Building Blocks -- 2.2 Ontology -- 2.3 Access Control Rules -- 3 An Illustrative Case in Smart Manufacturing -- 4 Conclusion and Further Work -- Acknowledgement -- References -- Industry 4.0: Evolution of the Research at the APMS Conference -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Industry 4.0 Project -- 2.2 Cyber-Physical System -- 2.3 Internet of Things -- 2.4 Internet of Services -- 3 Methodology -- 4 Findings and Discussion -- 4.1 Discussion -- 5 Conclusions -- Acknowledgment -- References -- Production Internet - Functional Perspective -- Abstract -- 1 Introduction -- 2 State-of-Art -- 3 Foresight Research -- 4 Dissemination and Benefits -- 5 Functional Specification for Prototyping -- 6 Prototype Development -- 7 Summary and Future Work -- References. Repair Crew Scheduling Considering Variable Disaster Aspects -- Abstract -- 1 Introduction -- 2 Model Description -- 3 Mathematical Formulation -- 4 Small-Scale Example -- 5 Conclusion -- Acknowledgements -- References -- Product and Asset Life Cycle Management in Smart Factories of Industry 4.0 -- An Approach to Development of System Architecture in Large Collaborative Projects -- Abstract -- 1 Introduction -- 2 Approach to Development of System Architecture -- 3 Implementation of the Approach in Z-Factor -- 3.1 Conceptual Viewpoint -- 3.2 Functional Viewpoint -- 3.3 Information Viewpoint -- 3.4 Deployment Viewpoint -- 4 Conclusion -- Acknowledgements -- References -- Improved Life Cycle Management by Product Communication -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Life Cycle Management -- 2.2 Environmental Improvement by Product Communication -- 3 Industrial Application of Framework -- 4 Framework and Discussions -- 4.1 Value Chain Insight -- 4.2 Design for Environment -- 4.3 End-of-Life Management -- 4.4 Potential Disadvantages with Sensors -- 5 Concluding Remark -- Acknowledgements -- References -- Cross-Correlation Method for Orchestration of Preventive Maintenance Interventions -- Abstract -- 1 Introduction -- 2 Cross-Correlation in Maintenance -- 3 The Orchestration Model -- 4 Numerical Application of the Model -- 5 Conclusions -- Acknowledgment -- References -- System-Oriented Reliability-Based Methodology for Optimal Joint Maintenance and Production Planning -- Abstract -- 1 Introduction -- 2 State of Art and Problem Statement -- 3 System-Oriented Reliability-Based Methodology for Joint Maintenance and Production Planning -- 4 Application Case -- 4.1 Discussion -- 5 Conclusions -- Acknowledgments -- References -- Dispositioning Strategies of Maintenance Tasks in Offshore Wind Farms -- Abstract -- 1 Introduction. 2 Maintenance in Offshore Wind Farms -- 3 Disposition Strategies of Maintenance Tasks and Resources in Offshore Wind Farms -- 3.1 The Morphological Analysis -- 3.2 Morphological Analysis of Wind Farm Specific Requirements -- 3.3 Disposition Strategy Development -- 4 Conclusion -- References -- Cyber-Physical (IIoT) Technology Deployments in Smart Manufacturing Systems -- Advances in Internet of Things (IoT) in Manufacturing -- Abstract -- 1 Introduction -- 1.1 Understanding Internet of Things -- 2 Enabling Technologies for IoT Applications -- 2.1 Wireless Sensor Networks (WSN) -- 2.2 Smart Sensors -- 2.3 Big Data Analytics -- 2.4 Cloud Computing -- 3 Architecture for IoT Applications in Manufacturing -- 4 IoT Applications in Manufacturing -- 5 Conclusions and Challenges -- References -- The Transition Towards Industry 4.0: Business Opportunities and Expected Impacts for Suppliers and M ... -- Abstract -- 1 Introduction -- 2 The Vision of Industry 4.0 -- 2.1 The Key Enabling Technologies -- 2.2 The Design Principles of Industry 4.0 -- 3 The Business Transformation of Industry 4.0 -- 3.1 The New Paradigm of Collaborative Business Processes -- 3.2 Industry 4.0: A Model for Business Transformation -- 4 Different Perspectives on Business Transformation -- 5 Conclusions -- References -- Exploiting Lean Benefits Through Smart Manufacturing: A Comprehensive Perspective -- Abstract -- 1 Introduction -- 2 Research Methodology -- 3 Literature Review -- 4 The Theoretical Model -- 4.1 Model Creation -- 4.2 Populating the Model -- 5 Case Study -- 6 Conclusions -- References -- Implementation of Industry 4.0 Technologies: What Can We Learn from the Past? -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Identification of Keywords and Search Terms -- 3 Findings -- 3.1 Descriptive Analysis -- 3.2 Thematic Analysis -- 4 Conclusion -- References. The IoT Technological Maturity Assessment Scorecard: A Case Study of Norwegian Manufacturing Companies -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Maturity Models -- 2.2 Defining a Thing in the Internet of Things (IoT): The 4.0-enabled-object -- 2.3 The Automation Pyramid -- 3 The IoT Technological Maturity Model -- 4 Case Study of Four Norwegian Manufacturing Companies -- 5 Limitations -- 6 Conclusions -- Acknowledgments -- References -- Optimal Scheduling for Automated Guided Vehicles (AGV) in Blocking Job-Shops -- Abstract -- 1 Introduction -- 2 Problem Description -- 3 Scenario -- 4 Experimental Results -- 5 Outlook and Conclusion -- References -- Deployment Architecture for Energy and Resource Efficient Cyber Physical Systems -- 1 Introduction -- 2 Related Work -- 2.1 ERE Autonomous Machine Control -- 2.2 CPS Digital/Physical Architectures and Communication -- 3 Aim of the Research and Approach -- 4 Research Findings -- 4.1 System Configuration and Requirements -- 4.2 Conceptual Model of the System Under Study and Autonomous Control -- 5 Conceptual Design of the ICT Architecture for the CPS-ized Line -- 5.1 Centralized and Distributed Approaches -- 5.2 Integration of CJA Policy -- 5.3 On-Going Experimentation -- 6 Conclusions and Further Steps -- References -- Optimization of Production-Oriented Logistics Processes Through Camera-Based Identification and Loca ... -- Abstract -- 1 Introduction -- 2 Developments in Sensor Technology and Related Work -- 3 Technical Concept -- 3.1 Requirements and Necessary Conditions -- 3.2 Image Processing and Localization Algorithm -- 3.3 Connection and Processing of Data from Different Sources -- 3.4 Visualization and Worker Support -- 4 Demonstrator and Implementation on an CPS -- 5 Optimization Methods and Opportunities of the Approach -- 6 Conclusion and Outlook -- References. Automaton-on-Tag: An Approach for an RFID-Driven Production Control with Mealy Machines Stored on an ... -- Abstract -- 1 Introduction -- 2 Background and Related Work -- 2.1 Typical Information Flow in Automated Manufacturing Systems -- 2.2 Modular Plants and SOA -- 3 Decentral Data Management in Modular Plants -- 3.1 A Possible Structure of the Automation Pyramid in a Modular Plant with RFID-Driven Production Co ... -- 3.2 Requirements and Existing Work for a Decentral Data Management -- 4 Automaton-on-Tag -- 4.1 Selection of a Description Model -- 4.2 Data Structure on the Tag -- 4.3 Processing of the Data -- 5 Implementation -- 6 Conclusion -- References -- The Role of ICT-Based Information Systems in Knowledge Transfer Within Multinational Companies -- Abstract -- 1 Introduction -- 2 The Role of Plants Within the Knowledge Flow in MNCs -- 3 The Role of ICT-Based IS in Knowledge Transfer -- 4 Methodology -- 5 Data Analysis -- 6 Discussion and Conclusion -- Acknowledgement -- References -- Conceptual Development Process of Mass-customizable Data Analytics Services for Manufacturing SMEs -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Common New Service Development Process -- 2.2 Cross-Industry Standard Process for Data Mining -- 3 Conceptual Development Process of Mass-customizable Data Analytics Services for Manufacturing SMEs -- 3.1 Overview of IDEF0 -- 3.2 Level-1 Activities -- 3.3 Proposed Development Process -- 4 Conclusion and Future Work -- Acknowledgment -- References -- A Thesaurus-Guided Framework for Visualization of Unstructured Manufacturing Capability Data -- Abstract -- 1 Introduction -- 2 Manufacturing Capability Thesaurus -- 3 Data Collection and Preparation -- 4 Visual Analytics -- 4.1 Visualization of Concept Vector Models -- 4.2 Document Visualization Using Jigsaw -- 5 Conclusions -- References. Virtual Load Machine as Test Environment for Industrial Storage Applications. EBL202104 XX SzGeCERN BOOK Riedel, Ralph Thoben, Klaus-Dieter von Cieminski, Gregor Kiritsis, Dimitris https://cds.cern.ch/auth.py?r=EBLIB_P_6295484 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2764171 BOOK MIGRATED 2764155 SzGeCERN 20210421183816.0 9783662447369 electronic version electronic version 9783662447352 print version oai:cds.cern.ch:2764155 cerncds:BOOK EBL 6287651 eng QA75.5-76.95 658.500285 Grabot, Bernard Advances in production management systems IFIP WG 5. 7 international conference, APMS 2014, Ajaccio, France, September 20-24, 2014, proceedings, part II Berlin Springer 2014 732 p ebook IFIP advances in information and communication technology 439 Intro -- Preface -- Organization -- Table of Contents - Part II -- Knowledge-Based Sustainability -- Cleaner Production Evaluation Model: Multiple Case Study in the Plastic Industry -- 1 Introduction -- 2 Business Processes and Cleaner Production in Plastic Industry -- 2.1 Business Processes -- 2.2 Cleaner Production in Plastic Industry -- 3 Methodology -- 3.1 Literature Review and Model Building -- 3.2 Multiple Case Study -- 4 Results and Discussion -- 5 Conclusions -- References -- Green IT and Waste Paper in Governmental Institutions: The Proposal of the Infotercio Financial Model -- 1 Introduction -- 2 Some Remarks on Present State -- 3 Environmental Reasons to Reduce Paper Consumption -- 4 The Technical Proposal and Its Ethical and Environmental Implications -- 5 Theinfotercio Financial Model -- 6 Discussion -- 7 Conclusion -- References -- The Green IT Certification Ruled by the Infotercio Financial Model -- 1 Introduction -- 2 Background -- 3 The ISO Environmental State-of-Art and the New NBR-INFO 2014 -- 4 The Green People Capability Maturity Model -- 5 Comments -- 6 Conclusion -- References -- Project and Work Organization in Solidarity Economy: A first Approach According to Production Engineering -- 1 Introduction -- 2 The Brazilian Solidarity Economy, Its Demands and Challenges -- 3 The Logistics and Its Immediate Response as Organization Tool -- 4 Solidarity Economy and Exploitation of Nature: A Dead End? -- 5 The Role of Cleaner Production -- 6 Conclusion -- References -- Agribusiness, Agrienergy and Leadership: The Coaching as a Tool to Guide Talents -- 1 Introduction -- 2 Theoretical Frame -- 3 The Importance of Agrienergy -- 4 Successful Experiences with Coaching -- 5 A Proposal for Coaching in Agribusiness: Agrienergy in Evidence -- 6 Conclusion -- References. A Multi-objective Mathematical Model Considering Economic and Social Criteria in Dynamic Cell Formation -- 1 Introduction -- 2 Literature Review -- 3 Problem Description -- 3.1 Notations -- 3.2 Mathematical Formulation -- 4 Resolution Method -- 5 Computational Result -- 6 Conclusion -- References -- Brazilian Consumers' Preference towards Pork -- 1 Introduction -- 2 Methodology -- 2.1 Development of the Survey -- 2.2 Calculating Size of Sample -- 3 Results and Discussion -- 3.1 Social Criteria -- 3.2 Market Criteria -- 3.3 Preferences Criteria -- 3.4 Challenges of the Pork Supply Chain in Brazil -- 3.5 Conclusion -- References -- The Behavioural Effects of Extreme Events in Global Supply Chains -- 1 Introduction -- 2 Extreme Events -- 3 Behavioural Patterns -- 4 A Simulation Model -- 5 Simulation Results -- 6 Conclusion -- References -- Lean and Green - Synergies, Differences, Limitations, and the Need for Six Sigma -- 1 Introduction -- 2 Literature Review - What is Green Lean? -- 2.1 Synergies of Lean and Green -- 2.2 Divergences of Lean and Green -- 3 Limitations of Green Lean as an Integrated Approach -- Green Lean Six Sigma? -- Conclusions -- References -- Small and Medium Enterprises in Brazil: A Comprehensive Study of the Manager's View of the Business -- 1 Introduction -- 1.1 Theoretic Foundation -- 2 Methodology -- 3 Results and Discussion -- 4 Analysis and Discussion -- References -- The Concept of Sustainability in View of Micro, Small and Medium Brazilian Companies -- 1 Introduction -- 2 Methodology -- 2.1 Planning the Research -- 3 Results and Discussion -- 4 Conclusions -- References -- Energy Simulation for the Integration of Virtual Power Plants into Production Planning -- 1 Introduction -- 2 Terminology and Scope of the Study -- 2.1 Terminology -- 2.2 Scope of the Study -- 3 State-of-the-Art -- 4 Energy Simulation. 5 Conclusion and Outlook -- References -- Sustainability in Manufacturing Operations Scheduling: Stakes, Approaches and Trends -- 1 Introduction -- 2 Sustainable Manufacturing Operations: Stakes and Trends -- 3 When Manufacturing Operations Scheduling is Sustainable? -- 4 Illustrative Works in Sustainable Manufacturing Operations -- 4.1 Input Oriented Approaches: Energy, Inventory, Machine, Tools -- 4.2 Output Oriented Approaches: Waste, Pollution, Scrap, Greenhouse Gases -- 4.3 Mixed Approaches -- 5 Conclusion and Future Trends -- References -- Reverse Logistics of Information and Communication Technology Equipment: A Comparative Assessment of Laws and Programs -- 1 Introduction -- 2 Literature Review -- 2.1 Information and Communication Technologies - ICT -- 2.2 Reverse Logistics -- 2.3 ICT Reverse Logistics -- 3 Comparison Matrix -- 4 Analysis and Discussion -- 5 Conclusions -- References -- Impacts of Automakers Milk Run Collect System on Suppliers Planning and on Urban City Emissions -- 1 Introduction -- 2 Impacts on Automakers - Suppliers Relationship and Procedures -- 3 Impact on Emissions and Load Factor -- 3.1 The "1D" Path -- 3.2 The "2D" Path -- 3.3 Correlation betwee en the 1D and 2D Approaches. -- 4 Conclusions -- References -- A GRASPxELS for Scheduling of Job-Shop Like Manufacturing Systems and CO2 Emission Reduction -- 1 Introduction -- 2 Job Shop with Different Speed Machine -- 2.1 Problem Description -- 2.2 Related Literature -- 4 Computational Experiment -- 4.2 Computational Results -- 5 Conclusion -- References -- Management Model for Micro and Small Enterprises Supported by Maslow's Theory: An Option for Graphic Industry in Brazil -- 1 Introduction -- 2 Methodology -- 3 Theoretical Foundation Applied -- 4 Discussions and Results -- 5 Conclusions -- References -- Decision Making for Sustainability: Review and Research Agenda. 1 Background and Problem Statement -- 2 Research Questions and Deliverables -- 3 Methodology and Project Plan -- 3.1 Explore and Plan -- 3.2 Develop and Learn -- 3.3 Use and Prove -- 4 Project Outcomes and Implications -- References -- Synergizing Lean and Green for Continuous Improvement -- 1 Introduction -- 2 Research Methodology -- 2.1 Lean and Green Manufacturing -- 2.2 Lean for Better Environmental Management -- 3 Industrial Use Case -- 3.1 DMAIC Methodology -- 4 Summary -- References -- Support for Life Cycle Decision-Making in Sustainable Manufacturing - Results of an Industrial Case Study -- 1 Introduction -- 2 Methodology -- 3 LCC Tool Description -- 4 Results of LCC Tool Testing -- 4.1 Testing Approach -- 4.2 Results of the Testing -- 5 Conclusions -- References -- Variety Steering Towards Sustainability: A Coupled Evaluation and Optimization Approach -- 1 Introduction -- 2 State of the Art -- 2.1 Sustainability Performance Evaluation -- 2.2 Green Supply Chains Optimization -- 3 Proposed Approach -- 3.1 Weighting -- 3.2 Optimization -- 4 Case Study -- 4.1 Indicators Weighting -- 4.2 Optimization -- 5 Conclusions -- References -- Product Change in a Small Company: Effects on Eco-price and Global Productivity -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Conclusions -- References -- Exploring Alternatives of Accounting for Environmental Liabilities in the Company's Balance Sheet -- 1 Introduction -- 2 Methodology -- 2.1 Case Study Description -- 2.2 Studied Alternatives for Presenting Environmental Liabilities into the Balance Sheet -- 2.3 Studied Alternatives for Environmental Damages Valuation -- 3 Results and Discussion -- 3.1 Assessing Alternatives for Presenting the Environmental Liabilities into the Balance Sheet -- 3.2 Evaluating Alternatives to Quantify Environmental Damages in Economic Terms -- 4 Conclusions -- References. Economic and Environmental Advantage Evaluation of the Reverse Logistic Implementation in the Supermarket Retail -- 1 Introduction -- 2 Methodology -- 3 Results and Discussion -- 4 Conclusions -- References -- An Approach to Increase Energy Efficiency Using Shutdown and Standby Machine Modes -- 1 Introduction -- 2 Energy Efficiency at Production Line Level -- 3 Machine Tools and Energy Efficiency -- 4 A Strategy to Gain Energy Using Shut-down and Stand-by (energy-saving) Modes -- 5 Conclusions -- References -- Environmental and Social Sustainability Practices across Supply Chain Management - A Systematic Review -- 1 Introduction -- 2 Method -- 3 Results and Discussion -- 3.1 Environmental and Social Sustainability Practices across Supply Chain Management -- 3.2 Towards a Conceptual Framework -- 4 Concluding Remarks -- References -- The Maintenance Function in the Context of Corporate Sustainability: A Theoretical-Analytical Reflexion -- 1 Introduction -- 1.1 The Background and Purpose of This Study -- 2 Methodology -- 3 Results and Discussion -- 4 Conclusions and Recommendations -- References -- The Effect of Coercive Power on Supply Chain Inventory Replenishment Decisions -- 1 Background -- 2 Methodology -- 3 Results and Statistical Analysis -- 3.1 Replenishment Decision Indicators -- 3.2 Inventory Indicators -- 3.3 Cost Components -- 4 Discussions and Conclusion -- References -- Evaluation of Sustainable Mass Customized Habitation: The Case of CAP 44 -- 1 Introduction -- 2 Methodology -- 2.1 Housing Satisfaction Drivers Identification -- 2.2 Evaluations and Aggregation -- 3 Usecase: The CAP 44 Project -- 3.1 Project Description -- 3.2 Satisfaction Drivers and Housing Evaluation -- 4 Discussion and Conclusion -- References -- Sustainability in Manufacturing Facility Location Decisions: Comparison of Existing Approaches -- 1 Introduction. 2 Methods and Materials. EBL202104 XX SzGeCERN BOOK Vallespir, Bruno Samuel, Gomes Bouras, Abdelaziz Kiritsis, Dimitris https://cds.cern.ch/auth.py?r=EBLIB_P_6287651 ebook n 202115 21 PUBLIC https://catalogue.library.cern/legacy/2764155 BOOK MIGRATED 2764154 SzGeCERN 20210421183816.0 9783662455869 electronic version electronic version 9783662455852 print version oai:cds.cern.ch:2764154 cerncds:BOOK EBL 6287643 eng QA75.5-76.95 670.4275 Ratchev, Svetan Precision assembly technologies and systems 7th IFIP WG 5. 5 international precision assembly seminar, IPAS 2014, Chamonix, France, February 16-18, 2014, revised selected papers Berlin Springer 2014 182 p ebook IFIP advances in information and communication technology 435 Intro -- Foreword -- Organization -- Table of Contents -- Robust Adhesive Precision Bonding in Automated Assembly Cells -- 1 Introduction -- 2 Geometric Model of the Bonding Area -- 3 Experimental Quantification of Adhesive Shrinkage -- 4 Conclusion and Outlook -- References -- Assembly of Silicon Micro-parts with Steel Spindles Using Low-Temperature Soldering -- 1 Introduction -- 2 Established Asse embly Methods for Silicon Micro-parts h with other Materials -- 2.1 Comparison of Methods -- 3 Assembly of Silicon Escape Wheels with Their Spindles -- 4 Soldering Process -- 4.1 Degreasing before Soldering -- 4.2 Positioning of Pieces for the Assembly -- 4.3 Soldering Operation -- 4.4 Cleaning after Soldering -- 5 Results -- 6 Conclusion -- References -- Testing the Mechanical Characteristics and Contacting Behaviour of Novel Manufactured and Assembled Sphere-Tipped Styli for Micro-CMM Probes* -- 1 Introduction -- 2 Sphere-Tipped Micro-stylus Assembly -- 3 Mechanical Properties of the Manufactured Micro-styli -- 3.1 Contact Behaviour -- 3.2 Glue Strength -- 3.3 Glue Strength - Dynamic Mode and Comparative Measurements -- 3.4 Lifetime Investigation -- 4 Conclusion -- References -- Ultrasonic Press-Fitting: A New Assembly Technique -- 1 Purpose of this Paper -- 2 Conventional Press-Fitting -- 3 Ultrasonic Equipment -- 4 Experimental Setup -- 5 Experimental Results -- 6 Discussion and Future Work -- References -- Precision Micro Assembly of Optical Components on MID and PCB -- 1 Indroduction -- 2 Optical Module on MID -- 3 Optical Module on PCB -- 3.1 Assembly of the Laser Diode -- 3.2 Positioning Accuracy of the Laser Diode -- 3.3 Assembly of the Lens -- 4 Conclusion and Outlook -- References -- Integrated Tool-Chain Concept for Automated Micro-optics Assembly -- 1 Introduction -- 2 Concept of Hybrid Assembly Process Planning for Optical Systems. 2.1 Overview of the Integrated Tool-Chain -- 2.2 Formalization of the Product Configuration -- 2.3 Derivation of the Assembly Sequence and Commissioning -- 3 Exemplary Assembly Specification -- 4 Conclusion and Outlook -- References -- Feeding of Small Components Using the Surface Tension of Fluids -- 1 Introduction -- 2 Approach -- 3 Functionality and Set-up -- 4 Conclusion and Outlook -- References -- Precision Handling of Electronic Components for PCB Rework -- 1 Introduction -- 2 The Handling Devices -- 3 Preliminary Experiments and Results -- 4 Conclusions -- References -- Shift Dynamics of Capillary Self-Alignment -- References -- Image Stitching Based Measurements of Medical Screws -- 1 Introduction -- 2 Screw Measurement Approaches -- 3 Machine Vision Setup -- 3.1 Physical Components -- 3.2 Stitching Platforms -- 3.3 Image Stitching Concept Validation Experiment -- 4 Results -- 4.1 Image Stitching Process Behavior -- 5 Analysis and Discussion -- 6 Conclusion -- References -- Concept of a Virtual Metrology Frame Based on Absolute Interferometry for Multi Robotic Assembly -- 1 Assembly of Large Scale Parts -- 2 New Measurement Technologies for Maximum Precision -- 3 Virtual Metrology Frame -- 4 Test Setup and Improvement Potentials -- 5 Development of the Tracking Units -- 6 Boundary Cond ditions for Absolute Interferometry in Multi Robotic Assembly -- 7 Optimization St trategy for the Setup of the Assembly Process -- 8 Conclusion -- References -- Application of Deep Belief Networks for Precision Mechanism Quality Inspection -- 1 Introduction -- 2 Methods and Results -- 2.1 Theory Basis: Deep Belief Networks -- 2.2 Proposed Method:Tilear -- 2.3 Experiments and Results -- 3 Conclusion -- References -- Visual Quality Inspection and Fine Anomalies: Methods and Application -- 1 Introduction -- 2 Background -- 2.1 Industrial Problem. 2.2 Anomalies and Classification -- 2.3 Optics Data -- 3 Proposed Method: Structured Detection -- 3.1 The Image: Essential Data -- 3.2 Detection Methods and Constraints -- 3.3 Proposed Filtering -- 3.4 Optimization by Experimental Approach -- 4 Conclusion -- References -- Appendix -- Control Methods in Microspheres Precision Assembly for Colloidal Lithography -- 1 Introduction -- 2 HCP Particles Monolayer Assembly -- 2.1 Presentation -- 2.2 Example of Applica ation: Tribology -- 3 Control Method d at Microscopique Scale : Microfixe® -- 3.1 Image Processing Methodology -- 3.2 Results -- 4 Control Method at Macroscopic Scale: Macrofixe® -- 4.1 Structural Analysis by Multi-angle Optical Illumination -- 4.2 Image Processing Methodology -- 4.3 Results -- 5 Conclusion and Perspectives -- References -- A Multi-Agent System Architecture for Self-configuration -- 1 Introduction -- 2 The Multi-Agent Architecture -- 3 Implementation -- 4 Conclusions -- References -- Process Module Construction Kit for Modular Micro Assembly Systems -- 1 Introduction -- 2 Qualitative and Quantitative Analysis -- 3 Concept of a Process Module Construction Kit -- 3.1 Complex Interface -- 3.2 Process Module Construction Kit -- 4 Sample Configurations of Process Modules -- 5 Conclusions and Outlook -- References -- Modular Workpiece Carrier System for Micro Production -- 1 Introduction -- 2 Related Work -- 3 Modular Workpiece Carrier System -- 3.1 Modular Electronic Platform -- 3.2 Modular Mechanical Design -- 4 Discussion -- References -- A Generic Systems Engineering Method for Concurrent Development of Products and Manufacturing Equipment -- 1 Introduction -- 2 Integral System Engineering in Product Design and Design of Reconfigurable Manufacturing Systems (RMS) -- 3 Case: Manufacturing of an Environmentally Friendly Circuit Board -- 3.1 Definition of the Product. 3.2 Application of the Multi Domain Development Cycle in a Design for Manufacturing Process -- 4 Discussion and Conclusions -- 4.1 Design Information Flow when Concurrently Applying the Development Optimisation Cycle -- 4.2 Conclusion -- References -- The SMARTLAM 3D-I Concept: Design of Microsystems from Functional Elements Fabricated by Generative Manufacturing Technologies -- 1 Introduction -- 2 Application Oriented Modeling Elements of the SMARTLAM 3D-I Approach -- 2.1 Modelling of Generic SMARTLAM Functional Elements -- 2.2 Features -- 3 Selection of Manufacturing Process Chain and Product Design -- 3.1 Product Design Method -- 3.2 Process Chain Selection Method -- 4 Technologies and Materials of Relevance for the Smart Manufacturing Approach -- 4.1 Structuring Technologies -- 4.2 Polymer Film Handling and Assembly Related Technologies -- 4.3 Materials Properties of Specific Relevance for SMARTLAM Concept -- 4.4 System Integration on Process Chain Level -- 5 Conclusions and Outlook -- References -- Optimal Design of Remote Center Compliance Devices of Rotational Symmetry -- 1 Introduction -- 2 Design of RCC Devices Compliant Structure -- 2.1 Analysis of Compliant Mechanism -- 2.2 Rotational Symmetry Design -- 3 Structural Optimization of RCC -- 3.1 Objective Function -- 3.2 Design Constraints -- 3.3 Model Formulation -- 4 RCC Device Design (Numerical Example) -- 5 Conclusion -- References -- Author Index. EBL202104 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6287643 ebook n 202115 21 PUBLIC https://catalogue.library.cern/legacy/2764154 BOOK MIGRATED 2764137 SzGeCERN 20210421183816.0 9783642234477 electronic version electronic version 9783642234460 print version oai:cds.cern.ch:2764137 cerncds:BOOK EBL 6286304 eng QA75.5-76.95 4 Kranzlmüller, Dieter Information and communication on technology for the fight against global warming first international conference, ICT-GLOW 2011, Toulouse, France, August 30-31, 2011, proceedings Berlin Springer 2011 197 p ebook Lecture notes in computer science 6868 Intro -- Title -- Preface -- Organization -- Table of Contents -- Parallel Computing -- Towards Energy Efficient Parallel Computing on Consumer Electronic Devices -- Introduction -- ARM Computing -- The AppleTV Cluster -- Evaluation -- Single Node -- Whole System -- Related Work -- Outlook and Conclusion -- References -- Characterizing Applications from Power Consumption: A Case Study for HPC Benchmarks -- Introduction and Motivation -- State of the Art -- Our Approach -- Validation -- Experimental Method -- Experimental Results -- Conclusion -- References -- Principles of Energy Efficiency in High Performance Computing -- Introduction -- Tools for Energy Monitoring and Control -- Site Infrastructure Aspects -- System Hardware and Operation Requirements -- Conclusions -- References -- ICT for Transportation -- Geocast Routing in Vehicular Networks for Reduction of CO_2 Emissions -- Introduction -- Related Work -- Geocast Protocols to Minimize Message Latency -- Geocast Protocols to Increase the Dissemination Reliability -- Geocast Protocols Aim to Reduce Fuel Consumption and Emissions -- System Model -- Proposed Environmentally Friendly Geocast Protocol -- Defining the Geocast Destination Regions or ROI -- Message Delivery -- From a TLS to Vehicles -- Inter-vehicle Communication -- From Vehicles to a TLS -- Simulation Study and Discussions -- Conclusions and Future Work -- References -- Limiting Pollution in Ground Control Optimization -- Introduction -- Problem Description -- Problem Constraints -- The Alternative Graph Model -- Conflicts Models -- Heuristics -- Computational Experiments -- Conclusion -- References -- A Simulation Environment for Smart Charging of Electric Vehicles Using a Multi-objective Evolutionary Algorithm -- Introduction -- Related Work -- Problem Definition -- Hard Constraints -- Optimization Objectives. A Simulation Environment for Smart Charging -- Simulation Environment Properties -- Optimization Algorithm -- Conclusion and Future Work -- References -- Cloud Computing -- Furthering the Growth of Cloud Computing by Providing Privacy as a Service -- Introduction -- Cloud Computing Growth -- Current Reasons for Growth -- Future Growth and the Public Sector -- Privacy -- Definition of Privacy -- Private Information -- Extending the SLA with Privacy -- Developing Privacy Constraints -- Privacy Quality of Service Levels -- Monitoring and Legislation -- Monitoring Privacy with Privacy as a Service -- Legislation and the Public Sector -- Related Work -- Conclusions and Future Work -- References -- The Concept of a Mobile Cloud Computing to Reduce Energy Cost of Smartphones and ICT Systems -- Introduction -- System Model -- Energy Cost Evaluation -- Download from the CC Data Center -- Download from the MCC Data Center -- Performance Evaluation -- Conclusion -- References -- Pervasive Computing -- A Model for Sequence Based Power Management in Cyber Physical Systems -- Introduction -- Related Work -- Contribution -- Modeling -- Cyber Physical System -- Cyber Physical Sub-system -- Functional Chains and Realization -- Power Management Planning -- Power Management as a Transducing Machine -- From Jobs to Physical Properties (Simulation) -- Building a Model Instance -- Building up Power Management Plans -- State Space / Transducing Machine -- Conclusion -- References -- A System for Energy Savings in an Ambient Intelligence Environment -- Introduction -- Related Work -- Smart Device Network -- The aWESoME Web Service Middleware -- The iDEALISM Application -- Future Work -- Conclusion -- References -- Profiling Power Consumption on Desktop Computer Systems -- Introduction -- Related Work -- Study Design -- Goal Description and Research Questions. Variable Selection -- Hypothesis Formulation -- Instrumentation and Experiment Design -- Analysis Methodology -- Validity Evaluation -- Preliminary Data Analysis -- Results -- Discussion -- Conclusions -- References -- Measurement and Control -- GAINS - An Interactive Tool for Assessing International GHG Mitigation Regimes -- Introduction -- Related Work -- GAINS Concepts and Modeling -- Concepts and Requirements -- Modeling and Interaction with Other Models -- GAINS Implementation Results -- Modeling Air Quality -- Mitigation Efforts Calculator -- Co-Benefits of GHG Mitigation on Local Air Pollutants in the EU-27 Countries -- Conclusions and Future Work -- References -- Role of Context-Awareness for Demand Response Mechanisms -- Introduction -- An Overview of Demand Response (DR) -- Demand Response Technologies -- Smart Energy Management Approaches Utilizing Context -- A Holistic View of Context -- Activity Recognition in Smart Homes -- Roadmap for Future Research -- Conclusion -- References -- An Architecture and Methodology for a Four-Phased Approach to Green Business Process Reengineering -- Introduction -- Architecture -- Four-Phased Environmental Impact Management -- Strategy and Sensing and Monitoring -- Analysis and Management -- Adaptation -- Use Case -- Related Work -- Conclusion -- References -- Storage -- ADSC: Application-Driven Storage Control for Energy Efficiency -- Introduction -- Disk Adaptations -- Disk Modes -- Storage Tiers -- A Design Approach for Storage Control -- Storage Management -- Policies -- Fuzzy Controller -- Validation -- Case Study -- Experimental Data -- Simulation Results -- Related Work -- Concluding Remarks -- References -- Utilization-Aware Redirection Policy in CDN: A Case for Energy Conservation -- Introduction -- Related Work -- Surrogate Servers' Utilization and Energy -- Surrogate Servers' Utilization. Utilization Model -- Energy-Aware CDNs Redirection -- Simulation Testbed and Results -- Surrogate Servers Utilization vs. Load-Unbalancing -- Load-Unbalancing vs. Mean Response Time -- Conclusion and Future Work -- References -- Author Index. EBL202104 XX SzGeCERN BOOK Tjoa, A Min Kranzlmüller, Dieter https://cds.cern.ch/auth.py?r=EBLIB_P_6286304 ebook n 202115 21 PUBLIC https://catalogue.library.cern/legacy/2764137 BOOK MIGRATED 2764126 SzGeCERN 20210421183816.0 9783030016142 electronic version electronic version 9783030016135 print version oai:cds.cern.ch:2764126 cerncds:BOOK EBL 6285705 eng QA75.5-76.95 658.5 Chiabert, Paolo Product lifecycle management to support industry 4.0 15th IFIP WG 5. 1 international conference, PLM 2018, Turin, Italy, July 2-4, 2018, proceedings Cham Springer International Publishing AG 2018 802 p ebook IFIP advances in information and communication technology 540 Intro -- Preface -- Organization -- Contents -- Building Information Modeling -- Mixed Reality Tools as an Enabler for Improving Operation and Maintenance in Small and Medium Enterprises -- Abstract -- 1 Introduction -- 2 Operation and Maintenance -- 3 Operation and Maintenance in Small-to-Medium Enterprises -- 4 Mixed Reality -- 4.1 Augmented Reality -- 4.2 Virtual Reality -- 4.3 Photospheres -- 5 Discussion -- 6 Conclusion -- References -- A Three-Step BIM Implementation Framework for the SME Contractors -- Abstract -- 1 Background: BIM and Its Importance -- 2 Problem Statement -- 3 Methodology -- 3.1 Literature Review -- 3.2 Analysis and Discussion -- 4 Implementation Framework -- 5 Conclusion -- Acknowledgments -- References -- Environmental Factors on Concept Maps Design -- Abstract -- 1 Introduction -- 2 Concept Maps and Ontologies -- 3 Environmental Factors in KM and Education -- 3.1 People Involved -- 3.2 Trends -- 3.3 The Impact of Time -- 3.4 Collaboration Issues -- 4 Ontologies Perspectives in AEC -- 5 Discussion -- 6 Conclusion -- Acknowledgement -- References -- A Conceptual Framework for Personalization of Indoor Comfort Parameters Based on Office Workers' Preferences -- Abstract -- 1 Introduction -- 2 Comfort and Health-Related Parameters -- 3 Personalization Framework -- 3.1 Machine Learning Challenge -- 3.2 BIM Integration -- 4 Use Case Scenario -- 5 Conclusion -- References -- Development of a Digital Platform Based on the Integration of Augmented Reality and BIM for the Management of Information in Construction Processes -- Abstract -- 1 Introduction -- 1.1 Construction Industry -- 1.2 ICT Technologies and Augmented Reality in the CI -- 2 State of the Art -- 3 AR4Construction Research Project -- 4 Development -- 4.1 Internal Structure -- 5 Research Focus -- 5.1 Indoor Positioning -- 5.2 Information Management -- 6 Results. 7 Conclusions -- References -- All-Automatic 3D BIM Modeling of Existing Buildings -- Abstract -- 1 Introduction -- 2 Related Works -- 3 3D CAD Model Reconstruction -- 3.1 Segmentation and Contour Extraction -- 3.2 Architectural Elements Classification -- 3.3 Computation of Additional Features -- 4 IFC Model Generation -- 4.1 Modeling Types Supported by the IFC BIM Standard -- 4.2 Generation of the B-Rep Model -- 4.3 Mapping to IFC Elements -- 5 Two Real-Life Test Cases -- 6 Conclusion -- 7 Acknowledgments -- References -- Configuration Views from PLM to Building Lifecycle Management -- Abstract -- 1 Introduction -- 2 Product Structure in PLM and Complex Products -- 2.1 Product Structure -- 2.2 Product Structure, Product Model and Product Information Model -- 3 Product Structure in AEC Industry -- 4 Integrating Configuration View in BLM -- 5 Conclusions and Further Developments -- References -- Model-Based Systems Engineering and Through-Life Information Management in Complex Construction -- Abstract -- 1 Introduction -- 2 Background -- 3 Model-Based Systems Engineering and the PLM V-Model -- 4 New Complex Construction and Information Management -- 4.1 Model-Based and Data-Driven Applications -- 4.2 Supporting Data Standards -- 4.3 Supporting Process Standards -- 5 Conclusion and Ongoing Research -- References -- InBookModE: An Interactive Book and Model Environment to Link BIM and AEC Education -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Notable Trends in Learning and Teaching -- 2.2 Challenges in Planning and Delivering BIM Courses -- 2.3 Unique Opportunities for BIM and PLM Based Learning Platforms -- 3 Development and Implementation -- 3.1 What Has Been Implemented so Far? -- 3.2 Testing and Validation -- 4 Conclusion -- References -- PLM and BIM Approach to Support Information Management in Nuclear Decommissioning: A Synthesis. Abstract -- 1 Introduction -- 2 Information Management for Nuclear Decommissioning -- 2.1 NFD Process Characteristics -- 2.2 Information Characteristics -- 3 PLM-BIM Definitions and Objectives -- 4 PLM-BIM Comparative Study -- 5 PLM-BIM in Nuclear Facilities and Perspectives -- References -- Collaborative Environments and New Product Development -- A Discussion on Current Issues for Semantic Interoperability in an Integrated Product Development Process -- Abstract -- 1 Introduction -- 2 Problem Statement -- 3 Related Works -- 3.1 Cross-Domain Issues -- 3.2 Cross-IPDP Phases' Issues -- 3.3 Cross-Requirement Representation Issues -- 4 Discussion -- 5 Conclusion -- References -- Current Issues in Multiple Domain Semantic Reconciliation for Ontology-Driven Interoperability in Product Design and Manufacture -- Abstract -- 1 Introduction -- 2 Problem Statement -- 3 Current Issues -- 3.1 Semantic Interoperability -- 3.2 Semantic Reconciliation -- 3.3 Semantic Rules -- 4 Discussion -- 5 Conclusion -- References -- A Consumer Centric VMI Methodology for a Collaborative Supply Chain Model - An Answer to Demand Volatility -- Abstract -- 1 Introduction -- 2 State of the Art -- 2.1 Overview of a Traditional Supply Chain -- 2.2 Overview of VMI Supply Chain -- 2.3 Information Sharing and Integration -- 2.4 VMI Model Functionality -- 2.5 Synthesis -- 3 Proposal of a Methodology -- 4 Case Study - Implementation -- 4.1 Store Order Forecasting -- 4.2 Product Segmentation -- 4.3 Smart Ordering -- 4.4 Economic Order Quantity -- 4.5 Live Availability Check -- 5 Conclusion and Future Work -- References -- Goal-Oriented Approach to Enable New Business Models for SME Using Smart Products -- Abstract -- 1 Introduction -- 2 Definition: Smart Products in the Manufacturing Industry -- 3 Goal-Oriented Development of Smart Products -- 4 Conclusion and Further Research. Acknowledgement -- References -- Sustainability of Cascading Product Lifecycles -- Abstract -- 1 Introduction -- 2 Product Lifecycles and Closed-Loop Supply Chains -- 3 The Cascade Use Methodology -- 4 Results -- 4.1 From Japan to Chile: Notable Used-Vehicle Export Supply Chains -- 4.2 'Cambio Volante': Market Dynamics Spur Remarkable Reuse Activities -- 5 Discussion -- 6 Conclusion and Outlook -- Acknowledgements -- References -- How Food Companies Manage Their Innovation Process: A Multinational Food Company Point of View -- Abstract -- 1 Introduction -- 2 State of the Art: Methodologies and Tools for FFE -- 3 Preliminary Empirical Research -- 3.1 Theoretical Framework and Research Questions -- 3.2 Methodology - Research Strategy -- 4 A First Empirical Research -- 4.1 Company Overview -- 4.2 Company New Food Development Process: Phases, Activities, CSFs and KPIs -- 4.3 Company Fuzzy Front End Phase (Pre-development) -- 4.4 Information, Tools and Methods Supporting Company FFE Activities -- 5 Conclusions and Further Research -- References -- Product Lifecycle Management Strategy for the Definition and Design Process of Face Implants Oriented to Specific Patients -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 3 PLM Strategy Structuration Results -- 3.1 Current Process Description -- 3.2 Building a Visual Model. Stage/Areas Description -- 3.3 Roles and Technology Integration -- 3.4 Medical Prosthesis Development. A Proposed Workflow -- 4 Study Case -- 5 Conclusions -- References -- PLM for Digital Factories and Cyber Physical Systems -- Implementation of ``Digital Twin'' Concept for Modern Project-Based Engineering Education -- 1 Motivation -- 1.1 The Problems of Traditional Engineering Education -- 1.2 The Global Trend to Digitalization -- 2 Project-Based Engineering Courses Description. 2.1 Systems-Driven Product Development for Engineering Education -- 2.2 Course Description -- 2.3 Small Tube-Launched UAV Case Study -- 2.4 Model-Based Systems Engineering and 1D-simulation of UAV -- 2.5 3D Simulation and Design of UAV -- 2.6 Testing and Prototyping -- 3 Conclusions -- 3.1 Results of the Experimental Course -- 3.2 Future Work -- References -- Digital Twin Requirements in the Context of Industry 4.0 -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Sampling -- 2.2 Industry Selection and Questions -- 3 Literature Requirements -- 3.1 Industry 4.0 -- 3.2 Digital Twin -- 4 Industry Requirements -- 5 Conclusions and Future Work -- Acknowledgments -- References -- Is Openness Really Free? A Critical Analysis of Switching Costs for Industrial Internet Platforms -- 1 Introduction -- 2 Theoretical Background -- 2.1 Industrial Internet Platforms and Related Trends -- 2.2 Industrial Internet Platform Openness -- 2.3 Platform Openness and Switching Costs -- 3 Research Methodology and Design -- 4 Results and Findings -- 5 Discussion and Conclusions -- References -- A Case Study in Learning Factories for Real-Time Reconfiguration of Assembly Systems Through Computational Design and Cyber-Physical Systems -- Abstract -- 1 Introduction -- 2 State of the Art -- 2.1 State of the Art in Reconfigurable Production Systems and Mass Customization -- 2.2 State of the Art in Computational Design -- 2.3 State of the Art in Integration of CPS -- 3 Concept of the Case Study -- 3.1 Computational Design for Reconfigurable Product Engineering -- 3.2 Components of the Assembly System -- 4 Implementation in the Smart-Mini Factory -- 4.1 User Interface Applied for Reconfigurable Product Engineering -- 4.2 Network Specifications, CPS Coordination and Orchestration -- 5 Conclusions -- References. How Digital Twins Enable the Next Level of PLM - A Guide for the Concept and the Implementation in the Internet of Everything Era. EBL202104 XX SzGeCERN BOOK Bouras, Abdelaziz Noël, édéric Ríos, José https://cds.cern.ch/auth.py?r=EBLIB_P_6285705 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2764126 BOOK MIGRATED 2764102 SzGeCERN 20210421183817.0 9783319331119 electronic version electronic version 9783319331102 print version oai:cds.cern.ch:2764102 cerncds:BOOK EBL 6285015 eng QA75.5-76.95 658.5 Bouras, Abdelaziz Product lifecycle management in the era of Internet of Things 12th IFIP WG 5. 1 international conference, PLM 2015, Doha, Qatar, October 19-21, 2015, revised selected papers Cham Springer International Publishing AG 2016 870 p ebook IFIP advances in information and communication technology 467 Intro -- Preface -- Organization -- Contents -- Smart Products -- Information and Data Provision of Operational Data for the Improvement of Product Development -- Abstract -- 1 Introduction -- 2 Research Motivation and Fields of Action -- 2.1 The Product Design Process in the Context of Data Provision -- 2.2 Closed-Loop PLM as a Concept for the Technical Infrastructure -- 2.3 The Concept of the Product Avatar for Context-Specific Information Provision -- 2.4 The Cyber-Physical System as the Vision for Autonomous Data Exchange -- 3 Framework for the Data and Information Provision -- 3.1 Technological Prerequisites -- 3.2 Methodical Concepts -- 3.3 Procedural Implication -- 4 First Pilot Implementation: The Case of Wind Turbines -- 4.1 Input -- 4.2 Processing -- 4.3 Output -- 5 Managerial Implications and Discussion -- References -- Integrated Component Data Model Based on UML for Smart Components Lifecycle Management: A Conceptual Approach -- Abstract -- 1 Introduction -- 2 Data Model Requirements - Literature Review -- 3 Data Model Requirements - Field Study -- 3.1 Centralized and Distributed Data Storage -- 3.2 Multiple Means of Component Identification -- 3.3 Infrastructure Integration -- 3.4 Data Security -- 4 Preliminary Data Model -- 5 Conclusions -- Acknowledgments -- References -- Foot Plantar Pressure Estimation Using Artificial Neural Networks -- Abstract -- 1 Introduction -- 2 Data Collection -- 2.1 The Data-Collection Method -- 3 The Proposed Artificial Neural Network -- 3.1 Overview -- 3.2 Experimental Setup of ANN -- 4 Results -- 5 Conclusions -- Acknowledgments -- References -- PLM System Support for Collaborative Development of Wearable Meta-Products Using SBCE -- Abstract -- 1 Introduction -- 2 What Is a Wearable Meta-Product? -- 3 Set-Based Concurrent Engineering Review -- 4 Application of SBCE for Wearable MPs. 4.1 Preliminary Design -- 4.2 Technical Solutions -- 4.3 Technical Alternatives -- 4.4 Final Design -- 5 SBCE Prototype -- 6 Conclusion and Outlook -- Acknowledgments -- References -- Assessment Approaches -- Publish and Subscribe Pattern for Designing Demand Driven Supply Networks -- Abstract -- 1 Introduction -- 2 Overview -- 3 Service Bus Architecture -- 3.1 UDDI Register -- 3.2 Data/Event Handler -- 3.3 Protocol Adapter -- 3.4 Complex Event Processing Engine -- 4 Application to Collaborative Supply Chain -- 5 Conclusion -- References -- An Environmental Burden Shifting Approach to Re-evaluate the Environmental Impacts of Products -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Graph-Based Model Considering Environmental Burden Shifting -- 4 Conclusion -- Acknowledgements -- References -- Risk Probability Assessment Model Based on PLM's Perspective Using Modified Markov Process -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Product Life Cycle Management and Supply Chain Management -- 2.2 Stochastic Model and Supply Chain Risks Management -- 3 Proposed Method -- 3.1 Concept of the Proposed Method -- 3.2 Model Definition -- 4 Discussion and Conclusion -- Acknowledgments -- References -- How Additive Manufacturing Improves Product Lifecycle Management and Supply Chain Management in the ... -- Abstract -- 1 Introduction -- 2 Additive Manufacturing -- 2.1 The Third Industrial Revolution -- 2.2 Additive Manufacturing Definition -- 2.3 Additive Manufacturing Processes -- 2.4 Additive Manufacturing Applications -- 2.5 Additive Manufacturing Benefits -- 3 Additive Manufacturing in the Aviation Sector -- 4 Additive Manufacturing Impacts for PLM and SCM -- 4.1 PLM and AM -- 4.2 SCM and AM -- 5 Conclusions -- References -- PLM Maturity. Different Approaches of the PLM Maturity Concept and Their Use Domains - Analysis of the State of the Art -- Abstract -- 1 Introduction -- 2 Defining PLM Maturity -- 2.1 Defining Maturity and PLM Maturity -- 2.2 PLM from Maturity Perspective -- 3 Maturity Approaches in PLM -- 4 Analysis and Comparison of Current PLM Approaches -- 5 Discussion and Conclusions -- Appendix -- References -- CLIMB Model: Toward a Maturity Assessment Model for Product Development -- Abstract -- 1 Introduction: The Need of an Assessment Model for Product Development -- 2 State of the Art: Classifications of Best Practices in Product Development -- 3 The CLIMB Maturity Assessment Model -- 3.1 The PD Best Practice Framework -- 3.2 The CLIMB Maturity Model -- 4 The Diffusion of PD Best Practices in Italy: The Empirical Research of the GeCo Observatory -- 5 Conclusion and Further Research -- Acknowledgments -- References -- A Maturity Model to Promote the Performance of Collaborative Business Processes -- Abstract -- 1 Introduction -- 2 Research Gaps -- 3 Proposed Framework -- 3.1 Assessment Approach for Collaborative Process in Service Oriented Architectures -- 3.2 Maturity Model Based on Process Lifecycle Management -- 4 Case Study -- 5 Conclusion and Perspectives -- Acknowledgment -- References -- A Process Based Methodology to Evaluate the Use of PLM Tools in the Product Design -- Abstract -- 1 Introduction -- 2 Background -- 3 Research Method -- 4 Study Results -- 4.1 Some Remarks -- 4.2 The Proposed Methodology -- 4.2.1 Data Collection -- 4.2.2 Process Evaluation and Monitoring -- 5 Conclusion -- References -- Building Information Modeling (BIM) -- Procedural Approach for 3D Modeling of City Buildings -- Abstract -- 1 Introduction -- 1.1 Related Work -- 1.2 Overview -- 2 Acquisition of Building Spatial Data -- 2.1 Ground Photographic Image Data. 2.2 Height Information of Buildings -- 2.3 Texture Mapping Data and Facade Images Data -- 3 Procedural Modeling of Building -- 3.1 Generation of the Geographic Base Map -- 3.2 3D Modeling Based On CGA Rules -- 3.3 Facade Modeling Based on Images -- 3.4 Texture Mapping -- 4 Discussion -- 5 Conclusion and Future Work -- Acknowledgments -- References -- Potential Improvement of Building Information Modeling (BIM) Implementation in Malaysian Construction Projects -- Abstract -- 1 Introduction -- 2 Methodology -- 3 Results and Findings -- 3.1 Respondent's Background -- 3.2 Understanding on BIM -- 3.3 Effect of BIM Implementation in Construction Projects -- 3.4 Factors Contribute to Barriers and Challenges to Implementing BIM -- 3.5 Potential Improvement of BIM Implementation in Construction Projects -- 4 Conclusion and Further Works -- Acknowledgments -- References -- Investigating the Potential of Delivering Employer Information Requirements in BIM Enabled Construction Projects in Qatar -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results -- 5 Discussion and Recommendations -- 6 Conclusion and Limitations -- Acknowledgement -- References -- Roles and Responsibilities of Construction Players in Projects Using Building Information Modeling (BIM) -- Abstract -- 1 Introduction to Building Information Modeling (BIM) -- 2 Methodology -- 3 Roles and Responsibilities of Construction Players in Projects Using BIM -- 3.1 Client -- 3.2 Architect -- 3.3 Engineers -- 3.4 Contractor -- 3.5 Quantity Surveyors (QS) -- 3.6 Facility Manager -- 4 Discussion -- 5 Conclusion and Further Work -- Acknowledgement -- References -- 3D Capture Techniques for BIM Enabled LCM -- 1 Why 3D Capture Is Essential to BIM? -- 2 3D Scene Capture Techniques -- 3 Analysis and Usage of Capture Technologies. 4 Life Cycle Management (LCM) Connection to Sustainability Assessment (SA) in the Built Environment (BE) -- 5 Recommendations to Enhance Qualities of the Built Environment -- 6 Conclusion -- References -- Comparing BIM in Construction with 3D Modeling in Shipbuilding Industries: Is the Grass Greener on t ... -- Abstract -- 1 Introduction -- 2 Background -- 3 Methodology -- 4 Results -- 5 Discussion and Implications -- References -- Languages and Ontologies -- Natural Language Processing of Requirements for Model-Based Product Design with ENOVIA/CATIA V6 -- Abstract -- 1 Introduction -- 1.1 ENOVIA/CATIA V6 RFLP for Integrated, Model-Based Product Design -- 1.2 Problematic -- 1.3 Literature Review and Proposition -- 2 From Unstructured Specifications to Design Synthesis -- 2.1 From Unstructured Specifications to PPBRs -- 2.2 Integrated, Parametric, Model-Based Product Design Synthesis -- 3 Case Study -- 3.1 From Unstructured Specifications to PPBRs -- 3.2 Integrated, Parametric, Model-Based Product Design Synthesis -- 3.3 Results and Limitations -- 4 Conclusion and Future Work -- References -- Improving Enterprise Wide Search in Large Engineering Multinationals: A Linguistic Comparison of the Structures of Internet-Search and Enterprise-Search Queries -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Data -- 2.2 Part of Speech Tagging -- 3 Results -- 4 Discussion -- 5 Conclusion -- Acknowledgments -- References -- Customer Reviews Analysis Based on Information Extraction Approaches -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 The Representative Approach of Information Retrieval: TF-IDF -- 2.2 Morden Information Extraction Solutions -- 3 The Proposed Front-End Services for EASY-IMP Project Based on TF-IDF Approach -- 4 The Proposed Opinion Mining Extraction Algorithm to Jointly Execute Opinion Mining Extraction Tasks. 4.1 Information Extraction Sextuple. EBL202104 XX SzGeCERN BOOK Eynard, Benoit Foufou, Sebti Thoben, Klaus-Dieter https://cds.cern.ch/auth.py?r=EBLIB_P_6285015 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2764102 BOOK MIGRATED 2764100 SzGeCERN 20210421183817.0 9783319511337 electronic version electronic version 9783319511320 print version oai:cds.cern.ch:2764100 cerncds:BOOK EBL 6284892 eng QA75.5-76.95 658.500285 Nääs, Irenilza Advances in production management systems initiatives for a sustainable world IFIP WG 5. 7 international conference, APMS 2016, Iguassu Falls, Brazil, September 3-7, 2016, revised selected papers Cham Springer International Publishing AG 2017 956 p ebook IFIP advances in information and communication technology 488 Intro -- Preface -- Organization -- Contents -- Computational Intelligence in Production Managements -- Determination of Operating Parameters and Performance Analysis of Computer Networks with Paraconsistent Annotated Evidential Logic Eτ -- Abstract -- 1 Introduction -- 2 Methodology -- 3 Analysis of the Results -- 4 Conclusion -- References -- Logical Decision-Making Method Relating to Innovation Management -- Abstract -- 1 Introduction -- 1.1 Innovation -- 1.2 Innovation Models -- 1.3 {\hbox{E}}\uptau Logical -- 2 Methods -- 3 Aplication -- 3.1 Maximization (Max) and Minimization (Mini) Rules -- 3.2 Analysis -- 4 Conclusion -- References -- IT Incident Management and Analysis Using Non-classical Logics -- Abstract -- 1 Introduction -- 2 Backgrounds -- 2.1 ITIL - Information Technology Infrastructure Library -- 2.2 ISO/IEC 20.000 -- 2.3 Paraconsistent Annotated Evidential Logic Eτ -- 3 Methodology -- 4 Analysis and Discussion -- 4.1 Comparisons with Real Data -- 5 Final Considerations -- References -- Hierarchical Clustering Based on Reports Generated by Scriptlattes -- 1 Introduction -- 2 Theoretical Background -- 2.1 Hierarchical Clustering -- 3 Proposed Method -- 4 Application: Data Extraction for Sucupira Platform -- 5 Conclusion and Future Works -- References -- Using Logic Concepts on Six Sigma -- 1 Introduction -- 2 Six Sigma -- Backgrounds -- 3 The DMAIC Method in Six Sigma -- 4 Human Errors in Six Sigma -- 5 An Expert System Based on Paraconsistent Logic -- 6 Unifying Concepts -- 7 Conclusions -- References -- Intelligent Manufacturing Systems -- A Method Towards Modelling and Analysis of Semantically-Enriched Reconfigurable Manufacturing Systems -- 1 Problem Statement -- 2 Proposed Approach -- 3 Method Conceptualization -- 4 Conclusions -- References -- Formal Information Model for Representing Production Resources -- 1 Introduction. 2 Existing Production Resource Descriptions -- 3 Proposed Production Resource Description Model -- 3.1 Abstract Resource Description -- 3.2 Resource Description -- 3.3 Resource Instance Description -- 3.4 Example Instances of Resource Description Model -- 4 Discussion and Conclusions -- References -- A Communication Procedure Between Tactical and Operational Levels in Spare Parts Supply Chains -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Supply Chain Management -- 2.2 Spare Parts Supply Chain -- 2.3 Integrating Intelligent Maintenance Systems and Spare Parts Supply Chain -- 3 Communication Procedure Proposal -- 4 Conclusion -- Acknowledgements -- References -- Digital Factories for Capability Modeling and Visualization -- Abstract -- 1 Introduction -- 2 System Architecture -- 2.1 Factory Digitization -- 2.2 Capability Extraction -- 2.3 Supply Chain Configuration -- 3 Manufacturing Service Ontology -- 3.1 Manufacturing Service Description Language (MSDL) -- 3.2 Capability Quantification -- 4 Digital Factory: Machine Shop Example -- 5 Conclusion -- References -- Learning Analytics Deployment at an University -- 1 Introduction -- 2 Learning Analytics -- 3 Methodology -- 3.1 Application Process of Learning Analytics -- 4 Collection and Production Data -- 4.1 Results -- 5 Conclusion -- References -- Relationship Networks: Social Innovation and Earnings for Companies -- Abstract -- 1 Introduction -- 2 Conceptual Reference -- 2.1 Interorganizational Networks -- 2.2 Social Business -- 2.3 Social Innovation -- 3 Method -- 4 Results -- 4.1 Scenario Before the Producers' Association -- 4.2 Formation of the Producers Association -- 4.3 Scenario After the Formation of the Producers Association -- 4.4 Business Models -- 5 Conclusion -- References -- Knowledge-Based PLM. Environmental Support for Dilution of Pollutants from Broiler Production and Aquaculture in Brazil -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Emergy Environmental Accounting -- 2.2 Accounting for Environmental Services and Support Area -- 2.3 Systems Under Study -- 3 Results and Discussion -- 4 Concluding Remarks -- References -- Water Usage Charge in Brazil: Emergy Donor-Side Approach for Calculating Water Costs -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Emergy Accounting -- 2.2 Interpreting Law Terms Trough the Emergy Approach -- 2.3 Calculation Considerations -- 2.4 Jundiai-Mirim Micro-Watershed -- 3 Results and Discussion -- 4 Concluding Remarks -- Acknowledgments -- References -- Combining Genetic Algorithm with Constructive and Refinement Heuristics for Solving the Capacitated Vehicle Routing Problem -- 1 Introduction -- 2 Theoretical Background -- 2.1 Capacitated Vehicle Routing Problem -- 2.2 Heuristics and Metaheuristic Techniques Employed by Proposed Approach -- 3 Methodology -- 4 Proposed Strategy for CVRP Optimization -- 5 Results and Discussion -- 6 Conclusions and Outlook -- References -- Container Crane Controller with the Use of a NeuroFuzzy Network -- Abstract -- 1 Introduction -- 2 Theoretical Bases -- 2.1 Container Crane -- 2.2 Fuzzy Logic -- 2.3 Artificial Neural Networks -- 2.4 Neuro Fuzzy Network -- 3 Materials and Methods -- 4 Results of Computational Experiments -- 5 Conclusions -- References -- Agility Challenges in Finnish Manufacturing Companies - Manufacturing Operations Management Viewpoint -- Abstract -- 1 Introduction -- 2 Research Method -- 3 Background - Enablers of Agility -- 4 Analysis of the Agility Challenges -- 4.1 Identified Challenges and Their Interconnections -- 4.2 Analysis of Critical Challenges -- 4.3 Actions for Improving Agility -- 5 Conclusions -- Acknowledgements. References -- Improving Process Management in a Water Treatment Plant Using Control Modelling -- 1 Introduction -- 2 Methodology -- 3 Results and Discussion -- 4 Conclusions -- References -- An Integrative Model of Productivity and Logistic Objectives -- 1 Introduction -- 2 Productivity and Logistic Objectives -- 2.1 Labor Productivity -- 2.2 Logistic Objectives and the Manufacturing Control Model -- 3 Linking Capacity, Productivity and Output -- 4 Integrating Productivity into the Manufacturing Control Model -- 5 Interaction of Productivity and Logistic Objectives -- 6 Summary -- References -- Pursuit of Responsiveness in SMEs Through Dynamic Allocation of Flexible Workers: A Simulation Study -- 1 Introduction -- 2 Worker Flexibility -- 3 Case Company -- 4 Control Logics for Adaptive Decision-Making and Simulation Design -- 5 Simulation, Analysis and Results -- 6 Conclusion -- References -- Effectiveness of Production Planning and Control (PPC) in a Baby Fashion Cluster, Under the Prism of Paraconsistent Logic -- 1 Introduction -- 2 Literature Review -- 2.1 Production Planning, Programation and Control -- 2.2 Paraconsistent Logic Annotated -- 2.3 Competitive Clusters -- 2.4 Baby Fashion Cluster -- 3 Methodology -- 4 Results and Discussion -- 4.1 Planning Premises -- 4.2 Considerations on Intraorganizational Network -- 4.3 Planning Functions -- 4.4 Intersectional Factors -- 5 Conclusions -- References -- Dynamic Seed Genetic Algorithm to Solve Job Shop Scheduling Problems -- Abstract -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Representation Mechanism -- 2.2 Dynamic Seed Genetic Algorithm -- 3 Experiments -- 3.1 Performance Related to the Quality of the Solution -- 4 Conclusions and Suggestions -- Acknowledgements -- An Improved Computer-Aided Process Planning Method Considering Production Scheduling -- 1 Introduction. 2 Overview of Conventional Method -- 3 Improved Integrated Method of CAPP and PS -- 4 Case Study -- 5 Conclusion -- References -- Modelling of Business and Operational Processes -- Strategic Portfolios for the Integral Design of Value-Added Networks -- 1 Importance of Portfolios for Strategic Planning -- 2 Modelling of the Value-Added Network at the Strategic Level -- 3 Portfolios for the Network Design in Different Areas -- 3.1 Production Network Design -- 3.2 Transportation Network Design -- 3.3 Distribution Network Design -- 3.4 Retail Network Design -- 4 Integration of the Portfolios -- 5 Conclusions and Outlook -- References -- Selecting a Notation to Modeling Business Process: A Systematic Literature Review of Technics and Tools -- 1 Introduction -- 2 Literature Review -- 2.1 Mapping and Modeling Processes -- 2.2 Business Process Management -- 2.3 ISO, BPM CBOK and BABOK -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusions -- References -- Workforce Planning Models for Distribution Center Operations -- 1 Introduction -- 2 Model and Assumptions -- 2.1 DC Queueing System -- 2.2 DC Analytical Queueing Model -- 3 Performance Analysis Using Analytical Models -- 4 Performance Analysis Using Simulation Model -- 5 Conclusions -- References -- From English to RDF - A Meta-Modelling Approach for Predictive Maintenance Knowledge Base Design -- 1 Introduction -- 2 Meta-Modelling -- 3 User Story Mapping Modelling Method Realized with Using ADOxx© -- 3.1 Modelling Language -- 3.2 Mechanisms and Algorithms -- 4 Application Scenario -- 5 Conclusions and Outlook -- References -- An Application of Operations Research for Reducing Fuel Costs -- 1 Introduction -- 2 Methodology -- 3 Case Study -- 3.1 Defining the Problem -- 3.2 Building the Model -- 3.3 Results and Discussion -- 4 Conclusions -- References. The Profile of High-Tech Start-Ups: An Approach by the Prism of Graphical Analysis of Network Relations. EBL202104 XX SzGeCERN BOOK Vendrametto, Oduvaldo Mendes Reis, João Gonçalves, Rodrigo Franco Silva, Márcia Terra von Cieminski, Gregor Kiritsis, Dimitris https://cds.cern.ch/auth.py?r=EBLIB_P_6284892 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2764100 BOOK MIGRATED 2764044 SzGeCERN 20210421183818.0 9783319997049 electronic version electronic version 9783319997032 print version oai:cds.cern.ch:2764044 cerncds:BOOK EBL 6281212 eng QA75.5-76.95 658.5 Moon, Ilkyeong Advances in production management systems production management for data-driven, intelligent, collaborative, and sustainable manufacturing IFIP WG 5. 7 international conference, APMS 2018, Seoul, Korea, August 26-30, 2018, proceedings, part I Cham Springer International Publishing AG 2018 584 p ebook IFIP advances in information and communication technology 535 Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Lean and Green Manufacturing -- Reverse Logistics Route Selection Using AHP: A Case Study of Electronics Scrap from Pakistan -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusions and Recommendations -- References -- Digital Lean Cyber-Physical Production Systems: The Emergence of Digital Lean Manufacturing and the Significance of Digital Waste -- Abstract -- 1 Introduction -- 2 The Emergence of Digital Lean Manufacturing -- 3 The Meaning of Digital Waste -- 3.1 Eliminating Defects Waste: Digital Quality Management Lever -- 3.2 Eliminating Overproduction: Digital Kanban Systems Lever -- 3.3 Eliminating Waiting Waste: Cyber-Physical Systems Lever -- 3.4 Eliminating Transportation Waste: AGVs, Drones and 3D Printing Levers -- 3.5 Eliminating Inventory Waste: Digital Warehouse Operations Lever -- 3.6 Eliminating Motion Waste: New HMIs and Wearable Computing Levers -- 3.7 Eliminating Over-Processing Waste: Digital Mfg. Standards Lever -- 3.8 Eliminating Not-Utilizing Talent Waste: Digital Presence Lever -- 4 Conclusions -- References -- Effect of Prioritization on the Waiting Time -- Abstract -- 1 Introduction -- 2 System Outline -- 2.1 Un-prioritized Baseline System -- 2.2 Prioritized System -- 3 Simulation Results -- 3.1 Baseline System -- 3.2 Prioritized System -- 4 Conclusions -- References -- A Small Dice Game for the Kingman Formula -- Abstract -- 1 Introduction -- 1.1 Effect of Utilization -- 1.2 Effect of Variance -- 1.3 Joint Effect of Utilization and Variance -- 2 Game Objectives -- 3 Game Outline -- 3.1 First Game: Baseline System -- 3.2 Second Game: Increase Utilization -- 3.3 Third Game: Increase Utilization to 100% -- 3.4 Fourth Game: Increase Variation by Using D12. 3.5 Fifth Game: Increase Variation by Using D20 -- 3.6 Sixth Game: Increase Variation to D20 and Utilization to 100% -- 4 Discussion -- 5 Participants Experience and Outcomes -- 6 Summary -- References -- Towards a Sustainable Innovation Process: Integrating Lean and Sustainability Principles -- Abstract -- 1 Introduction -- 2 Research Method -- 3 Lean and Sustainability -- 3.1 Lean Thinking -- 3.2 Lean Innovation -- 3.3 Sustainability -- 4 Lean Innovation Model Incorporating Sustainability Aspect -- 5 Case Study: Interface Inc. - Implementing the Mission Zero Strategy -- 6 Conclusions -- References -- Mathematical Modelling for Sustainable Agricultural Supply Chain Management Considering Preferences Between Farmers and Retailers -- Abstract -- 1 Introduction -- 2 Mathematical Formulation -- 2.1 Notation of Parameters -- 2.2 Mathematical Modelling of Our Proposed Model -- 3 Numerical Example -- 4 Conclusion -- References -- Formalising Specific-Energy Consumption Under a Production-Management Form Where Rush Orders Are Added in Time Slots -- Abstract -- 1 Introduction -- 2 Formalising the Specific-Energy Consumption -- 2.1 Specific-Energy Consumption -- 2.2 Preconditions -- 2.3 Production Form in This Study -- 2.4 In-process Inventory Coefficient {\varvec q}^{{\varvec k}} -- 2.5 Total Run-Time {\varvec T}_{{\varvec r}}^{{\varvec k}} for Facility {\varvec k} -- 2.6 Total Setup Time {\varvec T}_{{\varvec s}}^{{\varvec k}} for Facility {\varvec k} -- 2.7 Total Idle Time {\varvec T}_{{\varvec i}}^{{\varvec k}} for Facility K -- 2.8 Specific-Energy Consumption {\varvec SEC}^{{\varvec k}} for Facility {\varvec k} -- 3 Conclusion -- References -- Implementation Challenges Affecting the Environmental Improvement Performance in Pharmaceutical Production: -- Abstract -- 1 Introduction -- 2 Frame of Reference -- 2.1 Lean - Implementation and Innovation. 2.2 Green Lean, and Green Performance Map -- 3 Methodology -- 4 Empirical Findings -- 5 Discussion and Conclusion -- Acknowledgement -- References -- A Stochastic Programming Model for Multi-commodity Redistribution Planning in Disaster Response -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Problem Description -- 4 Stochastic Programming Model -- 5 Solution Method -- 6 Numerical Analysis -- 7 Conclusions -- Acknowledgements -- References -- Operations Management in Engineer-to-Order Manufacturing -- Dual Resource Constrained (DRC) Shops: Literature Review and Analysis -- Abstract -- 1 Introduction -- 2 Method - Review of the Literature -- 3 Results -- 3.1 Control of the Workload -- 3.2 Worker Assignment -- 3.3 Advanced Scheduling Techniques -- 4 Conclusion -- References -- Controlling Customer Orders in the ETO/VUCA Contexts -- Abstract -- 1 Introduction -- 2 Literature -- 3 Phenomenology of Change in Customer Orders -- 4 Integrated Model of Customer Order Fulfillment in ETO -- 5 Case Study -- 6 Summary and Further Work -- References -- Defining Solution Spaces for Customizations -- Abstract -- 1 Introduction -- 2 Methodology -- 3 Categories of Flow Drivers -- 4 Categories of Solution Spaces -- 4.1 Predefined and Postdefined Solutions -- 4.2 Solution Spaces -- 5 Solution Spaces and Customization -- 6 Conclusions -- Acknowledgements -- References -- A Conceptual Framework for Stage Configuration -- Abstract -- 1 Introduction -- 2 Method -- 3 Conceptual Framework for Stage Configuration -- 3.1 Qualification Stage -- 3.2 Recommendation Stage -- 3.3 Offering Stage -- 3.4 Detailed Specification Stage -- 3.5 Production Stage -- 4 Conclusion and Future Work -- References -- Dynamic Weight Configuration of Dispatching Rule Using Machine Learning -- Abstract -- 1 Introduction -- 2 State-of-the-Art. 3 Multi-Layer Perceptron (MLP) for Weight Configuration -- 3.1 Dispatching Rule of Targeted Stage -- 3.2 Experimental Environment -- 3.3 Experiment and Result -- 4 Conclusion and Discussion -- References -- Customizations vs. Platforms - A Conceptual Approach to COSI -- Abstract -- 1 Background -- 2 Methodology -- 3 Theory -- 3.1 Manufacturing Situations -- 3.2 Customization -- 3.3 Platforms -- 3.4 Postponement -- 3.5 Combining Postponement, Positioning of the CODP, and Customization -- 4 Results -- 5 Conclusion -- 5.1 Further Research -- Acknowledgements -- References -- Barriers and Success Factors for Continuous Improvement Efforts in Complex ETO Firms -- Abstract -- 1 Introduction -- 2 Research Methodology -- 3 Description of the Case Company -- 4 Barriers for Continuous Improvement in ETO -- 5 Success Factors for Continuous Improvement in ETO -- 6 Experiences from Previous Improvement Projects -- 7 Conclusion -- References -- Engineering Change Management in the Engineer-to-Order Production Environment: Insights from Two Case Studies -- Abstract -- 1 Introduction -- 2 Research Methodology -- 3 Engineering Change Management -- 4 Findings from Case Studies -- 4.1 Introduction to Case Companies -- 4.2 Company ECM Processes -- 4.3 Insights on Company ECM Challenges -- 5 Conclusions and Further Research -- References -- Product-Service Systems Customer-Driven Innovation and Value Co-creation -- Economic Assessment of PSS Value Networks - An Algorithmic Approach -- Abstract -- 1 Introduction -- 2 Multi-actor Economic Assessment of PSSs -- 3 A Framework for Systematic Economic Assessment of PSS Configurations -- 4 Illustrative Example -- 5 Conclusion -- References -- Modularity in Product-Service Systems: Literature Review and Future Research Directions -- Abstract -- 1 Introduction -- 2 Methodology -- 3 Literature Review -- 4 Discussion. 4.1 Development Methodology, Tools, and Focus in Product-Service System -- 4.2 Research's Relation to Industry, and Product/Industry Focus -- 5 Conclusions -- References -- Mass Customization as a Productivity Enabler in the Construction Industry -- Abstract -- 1 Introduction -- 1.1 Research Questions -- 2 Methods -- 3 Result -- 3.1 Solution Space Development (SSD) -- 3.2 Robust Process Design -- 3.3 Choice Navigation -- 4 Conclusion -- References -- How Can Hackathons Accelerate Corporate Innovation? -- Abstract -- 1 Introduction -- 2 Methodology for Organizing Corporate Hackathons -- 2.1 Pre-hackathon Stage (Planning) -- 2.2 The Hackathon Stage (Execution) -- 2.3 Post-hackathon Stage (Reflection) -- 3 Case Study: The CEMEX Hackathon -- 4 Conclusion -- Acknowledgements -- References -- Smart Supply Chain - Development of the Equipment Supplier in Global Value Networks -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Methodic Procedure -- 4 Results -- 5 Conclusion -- References -- Mass Customization Capability Planning with Additive Manufacturing -- Abstract -- 1 Introduction -- 2 Mass Customization Capability Planning -- 3 Mass Customization Capability Planning Model -- 3.1 Assumptions and Notations -- 3.2 Mathematical Model -- 3.3 Solution Algorithm -- 4 Experimental Analysis -- 5 Conclusion -- References -- Construct a Customized Product Service System Utilizing Multi-agent System -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Product Service System and Configuration Approaches -- 2.2 Multi-agent System -- 3 Methodology -- 3.1 Requirements Identification -- 3.2 PSS Design -- 3.3 Customized Recommend System -- 4 Preliminary Results -- 4.1 Requirements Identification -- 4.2 PSS Design -- 4.3 Customized Recommend System -- 4.4 Discussion -- 5 Conclusion -- References. The Demand-Pull Approach to Business Model Innovation Through Product-Service Systems: A Case Study. EBL202104 XX SzGeCERN BOOK Lee, Gyu M Park, Jinwoo Kiritsis, Dimitris von Cieminski, Gregor https://cds.cern.ch/auth.py?r=EBLIB_P_6281212 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2764044 BOOK MIGRATED 2764013 SzGeCERN 20210421183819.0 9781000192346 electronic version electronic version 9780367425944 print version oai:cds.cern.ch:2764013 cerncds:BOOK EBL 6265306 eng HD30.28 .F888 2020 658.40120000000002 Bangsawan, Satria The future opportunities and challenges of business in digital era 4.0 proceedings of the 2nd international conference on economics, business and entrepreneurship (ICEBE 2019), November 1, 2019, Bandar Lampung, Indonesia Milton CRC Press 2020 363 p ebook Cover -- Half Title -- Title Page -- Copyright Page -- Table of contents -- Foreword -- Organizing committee -- Scientific review committee -- Role of open innovation in enterprise growth -- Organizational commitment and job satisfaction: The leadership role of leader-member exchange in SMEs -- Towards aframework for tourism entrepreneurship sustainability: Implications for future research -- The Enhanced performance strategy of Indonesian small entities -- Marketing strategy of electronic transaction services at an Indonesian retail company -- Confirmation of contingency theory in the implementation of good governance and its impact on government performance in Indonesia -- The impact of electronic word of mouth in influencing online product-purchase intentions on e-commerce -- Spiritual wisdom in beach management: Best practice from Bali, Indonesia -- Herding behaviour on the Indonesia Stock Exchange in the period 2013-2017 -- Characteristics of politically connected companies in Indonesia -- The impact of trust, satisfaction, and people's pride on purchasing intention in the Indonesian batik sector -- Income smoothing on market reaction: Environmental performance as amoderation variable -- Risk-taking model in Indonesian banking companies -- The effect of spot exchange rate and forward exchange rate on projection of futures spot of Rupiah on Dollar currencies -- Carbon emissions and corporate social and environmental responsibility -- Information technology investment and digitization to improve banking performance -- Determinant factors of stunting conditions on Indonesian economic growth -- Carbon emissions disclosure, market reaction, and dividend policy -- "Wonderful Indonesia" positioning branding as aplace of interesting tourism -- Improving business performance through financial technology and customer relationship management. Consumer characteristics and the effects of social factors on purchasing decisions of Kentucky Fried Chicken (KFC) eco-friendly products -- Convergency of revenue per capita regional New Autonomy (NAR) in Indonesia -- Banking performance and shock response of macroeconomic conditions in Indonesia -- Foreign investment (PMA) in the food and beverage industry (KBLI15) in Indonesia period 2000- 2014 Total Factor Production approach (TFP) -- The effectiveness of business development for rural agricultural business and its effect on the income of farmers group membersin Wates Jaya, Lampung Barat District -- The influence of households and labor in fishery industry on industrial agglomeration in Tanggamus District -- An experimental study of the gender differences in risk aversion portfolio selection in Indonesia -- Forecasting tourism demand using the trend models method: Evidence from Indonesia -- The impact of mandatory spending on economic growth in Java and Sumatra -- Acomparative analysis of Flow of Funds Account (FFA) presentation in Indonesia and Japan -- The effect of ethnocentrism and preference of purchase intention -- Influence of quality service and satisfaction imagery higher education on Word of Mouth (WOM) -- Electronic Data Capture (EDC) marketing strategy in an Indonesian state-owned bank -- The influence of level of service on commitment to implement Islamic tourism with religiosity as amediating variable -- The factors that determine consumer's intention to use the service of the Amil Zakat institution -- International investment diversification in Asean-5 countries after Asean Economic Community (AEC) -- An application of rapid agricultural risk assessment to manage citrus nobilis var. microcarpa damage in Indonesia -- Corporate tax aggressiveness: Antecedents and consequent. Investor reaction to earnings announcements moderated by management discussion and analysis (MD&amp -- A) -- Gapoktan performance is determined by SCM practices, TQM, and competitive strategy -- Digital economy challenge: Innovation of technology and unemployment dilemma in Indonesia -- Estimation of economic value of mangrove forest in Lampung province using choice modeling approach (case study of Lampung Timur district) -- Consumer behavioral condition shares (Theory of Planned Behavior) -- The fish demand at fish auction sites in Lampung: Implementation of the Quadratic Almost Ideal Demand System (QUAIDS) model -- The relations of family ownership, characteristics of board of directors, and company performance -- Government intervention and investment efficiency in Indonesian companies -- Cash holdings estimation model for non-financial companies in Indonesia -- Adoption of digital finance service in Indonesia: An empirical examination of an extended technological acceptance model -- Initial public offerings news in social media and investor sentiments -- Moderating role of "consumer characteristics" in the influence of customer satisfaction on loyalty -- Simultaneous relationship between financial decisions, size and value of acompany on the Indonesia stock exchange -- The analysis of corporate bond liquidity in the Indonesia secondary market -- The usefulness of accrual-based financial statements at local government -- Impact of risk, commitment, and bonus on completion of difficult targets: Carbon emissions case -- The influence of integrated quality management on employee performance and creativity in higher education ISO certified SMM9001: 2015 -- The size and value effect anomalies in Indonesian capital market -- Determinants of government financial statements quality with moderating variables in leadership commitment. Understanding the business model of social enterprise: Case study of Indonesia Mengajar -- The spatial effect on the provincial wage increasing in Indonesia (data analysis of Sakernas 2008-2010) -- Astudy of village fund management to achieve good governance -- Analysis of factors affecting interests in the use of regional financial management information system (SIPKD) -- E-planning, e-budgeting, and government internal control system as acorruption prevention tools in Indonesia -- Exploration of good governance on the minimization of corruption in Asia-Pacific -- Enhancing the role of higher-education institutions in developing technology-based start-ups for young entrepreneurs at the Institute of Informatics &amp -- Business (IIB) Darmajaya -- The influence of household characteristics on poverty alleviation through tourism development -- Forecasting the performance of volatility of share prices with the application of ARIMA model -- Dividend policy of agency cost models in companies listed on the Indonesia Stock Exchange -- The effect of cellular marketing and consumers' attitude toward buying dunkin' donuts in Bandar Lampung -- Green marketing's effect on the decision to purchase body shop cosmetic products in Bandar Lampung -- Effects of educational performance, political competition, and regional financial capacity on incumbents' votes in Indonesian local elections (a hierarchical regression analysis) -- Influence of commitment in supporting the innovative work behavior of MSME employees in Bandar Lampung -- The impact of financial literacy on the performance and sustainability of SMEs in Indonesia -- Factors affecting financial management behavior in the millennial generation -- Measuring the effect of environmental uncertainty on the performance of SME managers with amanagement accounting system. The role of business group in mitigating agency theory caused by excess cash holdings -- Testing of Investment Opportunity Set (IOS), firm size, and risk of investment as variables that affect dividend policy in property and real estate companies listed on the Indonesia Stock Exchange (BEI) during the 2013-2017period -- Performance analysis of vehicle tax payment system queue -- Consumers attitudes and environmental knowledge toward friendly products -- The impact of training, career development, and compensation on employee performance -- The effects of entrepreneurial orientation and competitive advantage on the international market entry through financing -- Opportunities and challenges of the protean career concept: Areview and future agenda -- The influence of Emotional Quotient (EQ), Intellectual Quotient (IQ), and Spiritual Quotient (SQ) on SME employee work performance at Bandar Lampung City -- Author Index -- Untitled -- Untitled -- Untitled. EBL202104 XX SzGeCERN BOOK Mahrinasari MS, Mahrinasari Hendrawaty, Ernie Gamayuni, Rindu Rika Nairobi Dwi Mulyaningsih, Hendrati Wahyu Rachmawati, Ani Rahmawati, Santi https://cds.cern.ch/auth.py?r=EBLIB_P_6265306 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2764013 BOOK MIGRATED 2764011 SzGeCERN 20210421183819.0 9780309676816 electronic version electronic version 9780309676809 print version oai:cds.cern.ch:2764011 cerncds:BOOK EBL 6264948 eng TK1005 .C666 2020 621.30999999999995 National Academies of Sciences, Engineering, and Medicine Communications, cyber resilience, and the future of the U.S. electric power system proceedings of a workshop Washington, DC National Academies Press 2020 75 p ebook Intro -- FrontMatter -- Acknowledgment of Reviewers -- Contents -- Overview -- 1 Introduction -- 2 Understanding the Threat Landscape -- 3 Strategies to Increase Resilience -- Appendixes -- Appendix A: Statement of Task -- Appendix B: Workshop Agenda -- Appendix C: Registered Workshop Participants -- Appendix D: Acronyms. EBL202104 XX SzGeCERN BOOK Johnson, Anne Frances Division on Engineering and Physical Sciences Board on Energy and Environmental Systems Committee on the Future of Electric Power in the US https://cds.cern.ch/auth.py?r=EBLIB_P_6264948 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2764011 BOOK MIGRATED 2763929 SzGeCERN 20210421183821.0 9783319920818 electronic version electronic version 9783319920801 print version oai:cds.cern.ch:2763929 cerncds:BOOK EBL 6242209 eng QA76.9.H85 .G563 2018 4.0190000000000001 Clemmensen, Torkil Global thoughts, local designs INTERACT 2017 IFIP TC 13 workshops, Mumbai, India, September 25-27, 2017, revised selected papers Cham Springer International Publishing AG 2018 179 p ebook Lecture notes in computer science 10774 Intro -- Foreword -- IFIP TC13 - http://ifip-tc13.org/ -- IFIP TC13 Members -- IFIP TC13 Working Groups -- Contents -- Beyond Computers: Wearables, Humans, And Things - WHAT! -- Design for Cultural Heritage - Developing Understanding in Teaching and Practice -- Abstract -- 1 Culture Is Living Is Learning -- 1.1 How We Discovered the Opportunity for ICT Support for Cultural Things -- 1.2 Examples from Teaching -- 1.3 Culture Is Learning Is Teaching -- 2 Cultural Heritage Is Things -- 2.1 Collections of Things Need Structure -- 3 Where Are Our Things -- 4 Moving Our Things into the Cloud -- 4.1 Landmarks May Have a Virtual Location to Communicate with -- 4.2 Movable Cultural Heritage Can Be Monitored and Approached from the Cloud -- 5 Conclusion: How Safe Is Cultural Heritage in the Cloud -- Acknowledgement -- References -- Rethinking Wearables in the Realm of Architecture -- Abstract -- 1 Introduction -- 2 Human-Building Interaction (HBI) -- 2.1 Smart Living Lab -- 3 Beyond Quantified Self - Quantified Buildings -- 3.1 Environmental Characteristics -- 3.2 Presence and Proximity -- 3.3 Social Attributes -- 4 Sketching the Research Landscape -- 4.1 Agency or Control -- 4.2 Health and Awareness -- 4.3 Privacy and Data Protection -- 5 Conclusion -- References -- Tailored, Multimodal and Opportune Interactions on a Wearable Sport Coach: The WE-nner Framework -- Abstract -- 1 Introduction -- 2 WE-nner Framework -- 2.1 Multimodal Interaction During Physical Activity -- 2.2 Software Implementation -- 2.3 Software Architecture -- 3 Conclusions and Future Directions -- References -- The Evolution of Visual Art: From Painting to Interaction Design -- Abstract -- 1 Introduction -- 2 A Short Account of a Long History -- 2.1 Ancient Visitors of the Caves Understood and Experienced Their Art -- 2.2 How Our Ancestors Understood Hierarchy and Holiness. 2.3 From Painting to Writing - New Understanding Needed from the Audience -- 2.4 Artists Challenge the Audience to Be Active -- 3 Modern Times -- 3.1 Visual Art Becomes an Acting Agent -- 3.2 Art and Technology -- 4 New Techniques and Art Styles Need Understanding from All -- Acknowledgement -- References -- WHERE - Physical Entries to the Internet -- Abstract -- 1 Once upon a Time -- 2 Computers Expanded Our Possibilities - An Example -- 3 Who Cares Where Our Things Are Anyhow -- 4 Here Is What You Need at This Moment -- 4.1 Industrial Design Teams Work in Physical Spaces -- 4.2 Pointing Is to a Location -- 4.3 Smartphones Open up the QR Code -- 5 Future Meanings of "Here" -- Acknowledgement -- References -- Cross Cultural Differences in Designing for Accessibility and Universal Design -- Issues of Culture in Designing for Accessibility -- Abstract -- 1 Introduction -- 2 Topic 1: Cultural Differences and Accessibility of Interactive Systems in the Home -- 3 Topic 2: Cross Cultural Accessibility Issues in India -- 4 Topic 3: Methods of Working with Disabled and Older Users in Different Cultures -- 5 Conclusions -- Acknowledgements -- References -- Dealing with Conflicting User Interface Properties in User-Centered Development Processes -- Conflict, Costs and Trade-Offs in User Interface Design -- Abstract -- 1 Introduction -- 2 A Trade-Off Framework for Assessing Conflict -- 3 ADVISES Experience -- 3.1 Implementation -- 4 SAMS Experience -- 4.1 Implementation -- 5 Discussion and Conclusions -- Acknowledgements -- References -- Declarative Interaction Towards Evolutionary User Interface Prototyping -- Abstract -- 1 Introduction -- 2 Potential of Declarative Interaction -- 2.1 The Traditional UI Design and Development Process -- 2.2 Example of a Declarative User Interface Approach. 2.3 Towards a New, Evolutionary UI Design and Development Process Based on Declarative Interaction -- 3 Declarative Interaction and Conflicting UI Properties -- 4 A Case of Declarative Interaction -- 5 Declarative Interaction: Challenges for the Future -- References -- QBP Notation for Explicit Representation of Properties, Their Refinement and Their Potential Conflicts: Application to Interactive Systems -- Abstract -- 1 Introduction -- 2 The QBP Notation -- 3 Representing Hierarchies of Properties -- 3.1 Usability and User Experience -- 3.2 Dependable and Secure Computing and Concurrent Programs Properties -- 3.3 Internal and External Properties of Interactive Systems -- 4 The Traffic Lights Case Study -- 4.1 Informal Description of the Case Study -- 4.2 Behavioral Modelling of the Case Study -- 4.3 Description of Properties on the French Traffic Light -- 4.4 Description of Properties for the Entire Case Study -- 5 Discussions and Conclusion -- References -- Reflections on System Properties Valued by End Users in Designing End-User Development Systems -- Abstract -- 1 Introduction -- 2 The Electronic Patient Record Case Study -- 3 Web Mashup Platform Case Studies -- 4 Discussion and Conclusion -- Acknowledgments -- References -- Similarity as a Design Driver for User Interfaces of Dependable Critical Systems -- Abstract -- 1 Introduction -- 2 Conflicts and Congruence Between Similarity, Diversity and Redundancy in the Area of Interactive Systems -- 3 Examples from the Avionics Domain -- 3.1 Example One: Entering a New Value for Heading -- 3.2 Example Two: Entering a Set of Parameters for the Navigation Display -- 3.3 Example One: Visualization of Aircraft Pitch and Roll -- 4 Research Directions -- 5 Discussions and Conclusion -- References -- Value Creation and Delivery in Agile Software Development: Overcoming Stakeholder Conflicts -- Abstract. 1 Introduction -- 2 Value in Agile Software Engineering -- 3 Stakeholder Views on Value -- 4 Overcoming Value Clashes -- 5 Conclusion -- Acknowledgments -- References -- Human Work Interaction Design meets International Development -- Looking for "the Big Picture" on a Small Screen: A Note on Overview Support in Cooperative Work -- Abstract -- 1 Introduction -- 2 Overview and Large, Shared Displays -- 3 Overview and Small, Mobile Devices -- 4 Example: Use of mKrishi App by Alibaug Fishers -- 5 Conclusion -- References -- Socio-technical Design of an App for Migrants Rescue Operations -- Abstract -- 1 HWID for Emergency Medical Services -- 2 Motivations -- 3 Challenges -- 4 Our Contribution -- References -- Socio-technical HCI for Ethical Value Exchange -- Abstract -- 1 Introduction -- 2 Why Service Design Cases? -- 3 Sociotechnical HCI for Ethical Value Exchange -- 4 Description of Three Service Design Cases -- 5 The Alibaug Fishery Case Study -- 5.1 Interaction Design Related Findings -- 5.2 Human Work: Related Findings -- 6 Overall Objectives -- References -- Author Index. EBL202104 XX SzGeCERN BOOK Rajamanickam, Venkatesh Dannenmann, Peter Petrie, Helen Winckler, Marco https://cds.cern.ch/auth.py?r=EBLIB_P_6242209 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2763929 BOOK MIGRATED 2763914 SzGeCERN 20210421183822.0 9781911635727 electronic version electronic version 9781911635727 print version oai:cds.cern.ch:2763914 cerncds:BOOK EBL 6241446 eng TH6057.H57 .H837 2020 614.79200000000003 Hudson, Simon Covid-19 and travel impacts, responses and outcomes Oxford Goodfellow Publishers 2020 181 p ebook Cover -- Contents -- 1 An Unfolding Crisis -- Case Study: How the cruise industry became a symbol of COVID-19 -- Introduction -- The outbreak -- Pandemic -- Stranded -- Case Study: COVID-19 and the meltdown of ski resorts -- 2 Adapting to Lockdown -- Case study: Richard Branson and the challenges of leadership during the COVID-19 pandemic -- Introduction -- Leadership during the crisis -- Staying afloat -- Adapting to lockdown -- Philanthropy -- Case study: Hotels pivot to lend a helping hand -- 3 Crisis communication -- Case Study: Micato Safaris - marketing during a crisis -- Introduction -- The importance of communication during a crisis -- Communications strategies used by the travel sector during the crisis -- Communications post-crisis -- Cause-related marketing -- Internal communication -- Case study: Keeping lines of communication open in New Zealand -- 4 How travelers were affected by the COVID-19 crisis -- Case study: Pagodas and Pearls - a cruise to nowhere -- Disruptions -- The oblivious -- Quarantined -- Understanding future traveler behavior -- A halo effect -- Case study: Showing love for Great Britain -- 5 The economic, social and environmental impacts of COVID-19 -- Case study: Bringing the 'happy' back to Aruba -- Introduction -- Economic impacts -- Social impacts -- Environmental impacts -- Case study: Italy: "It was like having the rug pulled out." -- 6 The future of travel -- Case study: Vietnam paving the way to the future -- Introduction -- The future for the different sectors of the travel industry -- COVID-aptability -- The servicescape redesigned -- Lessons learned -- Case study: Surviving the 'new normal'. Examines how this crisis unfolded and its devasting impacts on the travel, tourism and hospitality industries. Packed with international case studies, it takes the reader from the very outset of the crisis, how the industry reacted and its message to the market, through to its impacts and a possible future. EBL202104 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6241446 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2763914 BOOK MIGRATED 2763903 SzGeCERN 20210421183822.0 9783319685571 electronic version electronic version 9783319685564 print version oai:cds.cern.ch:2763903 cerncds:BOOK EBL 6237196 eng HM742 .D545 2020 6 Kar, Arpan Kumar Digital nations - smart cities, innovation, and sustainability 16th IFIP WG 6. 11 conference on e-business, e-services, and e-society, I3E 2017, Delhi, India, November 21-23, 2017, proceedings Cham Springer International Publishing AG 2017 540 p ebook Lecture notes in computer science 10595 Intro -- Preface -- References -- Organization -- Contents -- Adoption of Smart Services -- Factors Influencing Consumer's Behavioral Intention to Adopt IRCTC Connect Mobile Application -- Abstract -- 1 Introduction -- 1.1 Motivation and Relevance of the Research and Its Contribution -- 2 Literature Review -- 2.1 Model Selection for the Study -- 3 Concepts, Hypotheses and Research Model -- 3.1 Direct Effects -- 3.2 Added Determinants and Moderating Effects -- 4 Research Design -- 4.1 Data Collection and Sample -- 4.2 Measures -- 5 Data Analysis -- 5.1 Demographic Attribute of Respondents -- 5.2 Statistical Analysis -- 5.2.1 Reliability of the Constructs -- 5.2.2 Regression Analysis and Result -- 5.2.3 Comparative Significance Based on Regression Output -- 5.3 Discussion -- 6 Concluding Remarks -- References -- Experiences from Assistive Technology Services and Their Delivery in Finland -- Abstract -- 1 Introduction -- 2 Assistive Technology Service Delivery Model in Finland -- 3 Stakeholder Perspectives -- 3.1 On Availability -- 3.2 On Accessibility -- 3.3 On Adoption -- 4 Discussion -- 5 Conclusion -- References -- Evaluating Multi-dimensional Risk for Digital Services in Smart Cities -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Smart Cities -- 2.2 Digital Services -- 2.3 Risk in Digital Services -- 3 Methodology -- 3.1 Data Analysis and Interpretation -- 4 Discussion -- 5 Conclusion -- References -- Mobile Phones and/or Smartphones and Their Use in the Management of Dementia - Findings from the Res ... -- Abstract -- 1 Introduction -- 2 Methods -- 3 Findings and Their Discussion -- 4 Conclusion -- Acknowledgments -- References -- A Systematic Review of Citations of UTAUT2 Article and Its Usage Trends -- Abstract -- 1 Introduction -- 2 Research Method -- 3 Systematic Review Findings of UTAUT2 Citations -- 3.1 General Citation. 3.1.1 Reference to the Evolution of Technology Adoption Theories in IS Research -- 3.1.2 Development of Constructs -- 3.1.3 Supporting Findings with UTAUT2 -- 3.1.4 Research Methodology Design -- 3.1.5 Justification for Application of UTAUT2 in Various Contexts -- 3.1.6 Criticism of TAM or UTAUT2 -- 3.1.7 Future Research Suggestion -- 3.1.8 Others -- 3.2 UTAUT2 Utilization -- 3.2.1 UTAUT2 as Basis for Conceptual Model Development -- 4 Discussion -- 5 Conclusion -- References -- The Use of the Social Networks by Elderly People in the Czech Republic and Other Countries V4 -- Abstract -- 1 Introduction -- 1.1 Development of Population in the Czech Republic -- 2 Literature Review -- 3 Methodology and Goals -- 4 Results -- 4.1 International Comparison -- 4.2 Czech Republic -- 5 Conclusion and Discussion -- Acknowledgment -- References -- Digital Payments Adoption: An Analysis of Literature -- Abstract -- 1 Introduction -- 2 Literature Search Approach -- 3 Systematic Literature and Findings -- 3.1 Frequently Used Theories in Consumer Mobile Payment Adoption -- 3.2 Drivers and Inhibitors of Mobile Payment Adoption -- 4 Research Limitations -- 5 Future Research Directions -- 6 Conclusions -- References -- Barriers to Adopting E-commerce in Chinese Rural Areas: A Case Study -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Chinese Rural Areas: Subjects, Regions and Industries -- 2.2 E-commerce in Chinese Developed Cities and Rural Areas -- 3 Related Work -- 4 N3F4 Framework Formalism -- 4.1 "Three Nong" Issues -- 4.2 Four Flows of E-commerce -- 4.3 N3F4 Framework Formalism -- 4.4 Applying N3F4 Framework to Structure Barriers -- 5 Case Study -- 5.1 Method and Process -- 5.2 Data Analysis and Discussion -- 6 Discussion -- 7 Conclusions -- References -- Assessment of ICT enabled Smart Initiatives -- Digital Governance for Sustainable Development. 1 Introduction -- 2 EGOV: From Electronic Government to Digital Governance -- 3 The Rise of Everyware -- 4 Challenges -- 4.1 EGOV for Inclusiveness -- 4.2 Trustworthy Infrastructures -- 4.3 Accountable Institutions -- 5 Conclusions -- References -- Assessment of Factors Influencing Information Sharing Arrangements Using the Best-Worst Method -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Information Sharing Between Public and Private Organisations -- 2.2 Information Sharing Arrangement -- 3 Research Methodology -- 4 Results -- 4.1 Local Weighting -- 4.2 Global Weighting -- 5 Discussion -- 6 Conclusions -- References -- Assessing the Potential of IoT in Aerospace -- Abstract -- 1 Introduction -- 1.1 Objective of the Paper -- 1.2 Author Definition of IoT and IoTA -- 1.3 IoT Potential in Aerospace -- 2 Methodology -- 2.1 Level-1: IoT Characteristics Maturity -- 2.2 Level-2: Aerospace Systems Vs. IoT Characteristics -- 3 IoT Characteristics -- 3.1 Definition of IoT Characteristics -- 3.2 IoT Characteristics Maturity -- 3.3 Survey Result Validation -- 4 Aircraft Avionics, Systems and Equipment -- 5 Integrating All -- 5.1 Assumptions -- 5.2 Limitations -- 5.3 Results of HoQ -- 6 Recommendations -- 7 Conclusions -- References -- Smart City Participation: Dream or Reality? A Comparison of Participatory Strategies from Hamburg, B ... -- Abstract -- 1 Introduction -- 2 Theoretical Background -- 2.1 Structured Literature Research Method -- 2.2 The Smart City Concept -- 2.3 Participation in Cities -- 2.4 Digital Strategies for Cities -- 2.5 E-Participatory Smart Cities -- 3 Results -- 3.1 Empirical Research Method -- 3.2 Hamburg -- 3.3 Berlin -- 3.4 Enschede -- 4 Analysis -- 5 Conclusion -- Acknowledgements -- References -- Benefits and Pitfalls in Utilization of the Internet by Elderly People -- Abstract -- 1 Introduction -- 2 Materials and Methods. 2.1 Literature Review - Utilization of Telephones, Computers and the Internet by Elderly People -- 2.2 Literature Review - Benefits and Pitfalls -- 3 Computer Literacy in Elderly People on the Local Scene - Awareness, Courses and Instant Outcomes f ... -- 3.1 Latest Findings from the Local Scene -- 3.2 Findings from the Internet for Senior Citizens Survey -- 3.3 Findings from the International Studies -- 4 Conclusion and Discussion -- Acknowledgement -- References -- Advances in Electronic Government (e-Government) Adoption Research in SAARC Countries -- Abstract -- 1 Introduction -- 2 Literature Search Approach -- 3 Literature Analysis -- 3.1 Meta-Data Analysis -- 3.2 Keyword Analysis -- 3.3 Research Methods Analysis -- 3.4 System or Technology Context -- 3.5 Respondent Type -- 3.6 Theories/Models Used -- 3.7 Limitations and Recommended Future Research of Reviewed Studies -- 4 Discussion -- 5 Conclusion, Limitations and Future Work -- References -- Assessment of Open Government Data Initiative - A Perception Driven Approach -- Abstract -- 1 Introduction -- 2 Review of Literature -- 2.1 E-governance Project Assessment -- 2.2 Open Government Data Initiative -- 3 Computational Approach Using Analytic Hierarchy Process -- 3.1 Measurement of Individual Decisions -- 3.2 Measurement of Individual Condition of Consistency -- 3.3 Aggregation of Individual Priorities -- 3.4 Achieving Consensus in Priorities of User Groups -- 4 Data Collection and Analysis -- 5 Results -- 6 Conclusions -- References -- Selected Simple Indicators in the Field of Advanced Technologies as a Support of SMART Cities and Th ... -- Abstract -- 1 Introduction -- 1.1 Tourism and Smart Cities -- 1.2 The Environmental Indicator -- 1.3 Characteristics of Indicators Based on SMART Concept -- 2 Methodology and Objectives -- 2.1 Statistical Data Processing -- 2.2 Statistics in Tourism. 3 Correlation of Simple Indicators -- 4 Conclusion -- Acknowledgement -- References -- Quality in Mobile Payment Service in India -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Service Quality -- 2.2 Website Service Quality -- 2.3 Additional Aspects of Mobile Payment Service -- 2.4 Total Interpretive Structural Model (TISM) -- 3 Study Design -- 3.1 Data Analysis -- 4 Development of Total Interpretive Structural Model -- 4.1 Elements and Contextual Relationship -- 4.2 Defining Contextual Relationship -- 4.3 Reachability Matrix -- 4.4 Developing Diagraph -- 4.5 Total Interpretive Structure Model -- 5 Conclusion -- References -- Selected Composite Indicators in the Field of Advanced Technologies and the Internet as a Support of SMART Cities and Their Impact on Tourism -- Abstract -- 1 Introduction -- 1.1 Composite Indicator -- 1.2 SMART Cities and Advanced Technologies -- 2 Methodology and the Objective of the Paper -- 2.1 Structure of the Research -- 3 Description of Composite Indicators -- 3.1 The Social Progress Index -- 3.2 Wellbeing of Nations Index -- 3.3 Index of Quality of Life and Sustainable Development -- 4 Correlation of Composite Indicators -- 4.1 Correlation of Relative Outbound Tourism and the Social Progress Index -- 4.2 Correlation of Relative Outbound Tourism and the Wellbeing Index -- 4.3 Correlation of Relative Outbound Tourism with the Index of Quality of Life and Sustainable Development -- 5 Discussion, Limitations and Future Research -- 6 Conclusion -- Acknowledgement -- References -- Analytics for Smart Governance -- Exploring Content Virality in Facebook: A Semantic Based Approach -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 3.1 Domain and Page Selection -- 3.2 Data Cleaning and Token Generation -- 3.3 Cross-Domain Semantic Analysis -- 4 Conclusion. 5 Implications and Future Scope. EBL202104 XX SzGeCERN BOOK Ilavarasan, P Vigneswara Gupta, M P Dwivedi, Yogesh K Mäntymäki, Matti Janssen, Marijn Simintiras, Antonis Al-Sharhan, Salah https://cds.cern.ch/auth.py?r=EBLIB_P_6237196 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2763903 BOOK MIGRATED 2763871 SzGeCERN 20210421183823.0 9780128180853 electronic version electronic version 9780128180846 print version oai:cds.cern.ch:2763871 cerncds:BOOK EBL 6225831 eng QH499 .H363 2020 610.28 Salgado, António Handbook of innovations in central nervous system regenerative medicine San Diego, CA Elsevier 2020 712 p ebook Front Cover -- Handbook of Innovations in Central Nervous System Regenerative Medicine -- Copyright Page -- Contents -- List of Contributors -- Preface -- 1 Insights on nervous system biology and anatomy -- 1.1 Introduction -- 1.2 Development of the vertebrate nervous system -- 1.2.1 Development of the trilaminar embryo -- 1.2.2 Neural induction -- 1.2.3 Neurulation -- 1.2.4 Development of brain vesicles -- 1.3 General organization of the nervous system -- 1.3.1 Spinal cord -- 1.3.2 Brain -- 1.3.2.1 Brainstem -- 1.3.2.2 Cerebellum -- 1.3.2.3 Diencephalon -- 1.3.2.4 Basal ganglia -- 1.3.2.5 Cortex -- 1.3.2.5.1 Neocortex -- 1.3.2.5.2 Hippocampal formation -- 1.3.2.5.3 Olfactory cortex -- 1.3.2.5.4 Amygdala -- 1.3.3 Meninges and the ventricular system -- 1.3.3.1 Meninges -- 1.3.3.2 Ventricular system -- 1.4 Cells of the nervous system -- 1.4.1 Neurons -- 1.4.2 Glial cells -- 1.4.2.1 Oligodendrocytes and Schwann cells -- 1.4.2.2 Astrocytes -- 1.4.2.3 Microglia -- 1.4.3 Ependymal cells -- 1.5 Technical approaches to study the nervous system -- 1.6 Conclusions -- References -- 2 Overview of Alzheimer's and Parkinson's diseases and the role of protein aggregation in these neurodegenerative diseases -- 2.1 Alzheimer's disease -- 2.2 Prevalence of Alzheimer's disease -- 2.3 Diagnosis of Alzheimer's disease -- 2.4 Neurodegeneration and neurobiology of Alzheimer's disease -- 2.5 Progression of amyloid deposition throughout the brain -- 2.6 Genetic influences -- 2.7 The amyloid cascade hypothesis -- 2.8 Parkinson's disease -- 2.9 Prevalence of Parkinson's disease -- 2.10 Diagnosis of Parkinson's disease -- 2.11 Neurodegeneration and neurobiology of Parkinson's disease -- 2.12 Progression of α-synuclein deposition throughout the brain -- 2.13 Genetic and environmental causes -- 2.14 Common cellular mechanisms in neurodegenerative diseases -- 2.15 Conclusions. 2.16 Acknowledgments -- References -- 3 Introduction to trauma in the central nervous system -- 3.1 Introduction -- 3.2 The current landscape of central nervous system trauma -- 3.3 Stages of central nervous system injury -- 3.3.1 Primary injury -- 3.3.2 Secondary injury: an overview of acute, subacute, and chronic phases -- 3.4 Traumatic spinal cord injury pathophysiology -- 3.4.1 Acute injury -- 3.4.1.1 Patterns of injury -- 3.4.1.2 Hypotension and ischemia -- 3.4.1.3 Spinal shock -- 3.4.1.4 Glutamate excitotoxicity and ion imbalance -- 3.4.1.5 Free radical formation and oxidative stress -- 3.4.1.6 Inflammation and angiogenesis -- 3.4.1.7 Edema -- 3.4.2 Subacute injury -- 3.4.2.1 Cellular apoptosis -- 3.4.2.2 Neurite growth-inhibitory factors -- 3.4.2.3 Endogenous stem cell response -- 3.4.2.4 Glial scar formation -- 3.4.3 Chronic injury -- 3.4.3.1 Altered neural circuitry -- 3.4.3.2 Syrinx formation -- 3.5 Traumatic brain injury -- 3.5.1 Classification -- 3.5.2 Cerebral perfusion and ischemia -- 3.5.3 Excitotoxicity and oxidative stress -- 3.5.4 Inflammation -- 3.5.5 Long-term sequelae -- 3.6 Guidelines for the management of neurotrauma -- 3.7 Conclusion -- Acknowledgments -- References -- 4 Current clinical approaches in neurodegenerative diseases -- 4.1 Alzheimer's disease and Parkinson's disease in a clinical context -- 4.1.1 Epidemiology of Parkinson's disease -- 4.1.2 Epidemiology of Alzheimer's disease -- 4.1.3 Clinical diagnosis and the natural history of Parkinson's disease -- 4.1.4 Clinical diagnosis and the natural history of Alzheimer's disease -- 4.1.5 Neuropathology and etiopathogenesis of Parkinson's disease -- 4.1.6 Neuropathology and etiopathogenesis of Alzheimer's disease -- 4.1.7 Genetics of Parkinson's disease -- 4.1.8 Genetics of Alzheimer's disease -- 4.2 Current pharmacotherapies used in Alzheimer's and Parkinson's diseases. 4.2.1 Current therapeutics in Parkinson's disease -- 4.2.2 Current therapeutics in Alzheimer's disease -- 4.3 Pitfalls of the clinical trials -- 4.3.1 Pitfalls in Parkinson's disease -- 4.3.1.1 Dopaminergic targets -- 4.3.1.2 Nondopaminergic targets -- 4.3.1.3 Other failed therapies in Parkinson's disease -- 4.3.2 Pitfalls in Alzheimer's disease -- 4.3.2.1 Therapies targeted at amyloid -- 4.3.2.2 Reducing Aβ generation -- 4.3.2.3 Accelerating Aβ clearance -- 4.4 New drugs currently being developed -- 4.4.1 New drugs in Parkinson's disease -- 4.4.1.1 Cellular therapies -- 4.4.1.2 Gene therapy -- 4.4.1.3 Iron-targeting agents -- 4.4.1.4 α-Synuclein active immunotherapy -- 4.4.1.5 LRRK2 inhibition -- 4.4.1.6 Incrementing the lysosomal system -- 4.4.2 New drugs in Alzheimer's disease -- 4.4.2.1 Therapies targeted at tau -- 4.4.2.2 Tau stabilizers and aggregation inhibitors -- 4.4.2.3 Therapies targeted at tau posttranslational modifications -- 4.4.2.4 Anti-tau immunotherapy -- 4.4.2.5 Therapies targeted at ApoE -- 4.4.2.6 Neurotrophic factors -- 4.4.2.7 Neuroinflammation and oxidative stress -- 4.5 Conclusion and future challenges -- References -- 5 Neuroprotection in the injured spinal cord -- 5.1 Spinal cord injury in a clinical context -- 5.1.1 Current spinal cord injury clinical management -- 5.2 Behind spinal cord injury -- 5.2.1 Permeability and vascular alterations -- 5.2.2 Metabolic alterations -- 5.2.3 Ionic disruption and excitotoxicity -- 5.2.4 Inflammatory response -- 5.2.5 Spinal cord scarring -- 5.3 Current neuroprotective therapies in spinal cord injury -- 5.3.1 Nimodipine -- 5.3.2 Glibenclamide (glyburide, DiaBeta) -- 5.3.3 Progesterone -- 5.3.4 Estrogen -- 5.3.5 Magnesium -- 5.3.6 Sygen (GM1) -- 5.3.7 Riluzole -- 5.3.8 Minocycline -- 5.3.9 IL-4 cytokine -- 5.3.10 Erythropoietin -- 5.3.11 Ibuprofen -- 5.3.12 Atorvastatin. 5.3.13 Hypothermia -- 5.6 Final remarks -- References -- 6 The therapeutic potential of exogenous adult stem cells for the injured central nervous system -- 6.1 Introduction -- 6.2 Adult stem cells and their sources -- 6.2.1 Neural stem cells -- 6.2.2 Mesenchymal stem/stromal cells -- 6.2.3 Induced pluripotent stem cells -- 6.2.4 Directly induced neural stem cells -- 6.3 Differentiation along neural lineages -- 6.3.1 Chemical differentiation -- 6.3.2 RNAi-mediated differentiation -- 6.3.3 Genetic reprogramming -- 6.3.4 Mechanical differentiation -- 6.4 Challenges in expansion and transplantation -- 6.4.1 Stability under long-term passaging -- 6.4.2 Immunogenicity -- 6.4.3 Timing -- 6.4.4 Administration routes -- 6.4.5 Complementary methods -- 6.5 Adult stem cells in preclinical models of central nervous system diseases -- 6.5.1 Spinal cord injury -- 6.5.2 Traumatic brain injury -- 6.5.3 Stroke -- 6.5.4 Multiple sclerosis -- 6.5.5 Amyotrophic lateral sclerosis -- 6.5.6 Parkinson's disease -- 6.5.7 Alzheimer's disease -- 6.5.8 Retinal degenerative diseases -- 6.5.9 Huntington's disease -- 6.6 Clinical trials of adult stem cells in the central nervous system -- 6.6.1 Spinal cord injury -- 6.6.2 Traumatic brain injury -- 6.6.3 Stroke -- 6.6.4 Multiple sclerosis -- 6.6.5 Amyotrophic lateral sclerosis -- 6.6.6 Parkinson's disease -- 6.6.7 Alzheimer's disease -- 6.6.8 Retinal degenerative diseases -- 6.6.9 Huntington's disease -- 6.7 Conclusions -- 6.8 Acknowledgements -- References -- 7 Biomaterial-based systems as biomimetic agents in the repair of the central nervous system -- 7.1 Introduction -- 7.2 Considerations on the pathology of spinal cord trauma -- 7.2.1 The lesion site: cavitation, connective tissue scarring, and Schwannosis -- 7.2.2 Beyond the lesion site: Wallerian degeneration and synaptic remodeling. 7.3 Positioning biomaterials for central nervous system regenerative medicine -- 7.4 Biofunctionalized electroconducting microfibers as biomimetic agents in central nervous system repair -- 7.5 Central nervous system regeneration: decomposing the needs to recompose the strategy -- 7.5.1 Crossing the gap versus closing the gap -- 7.5.2 Promoting axonal growth and synaptic reconnection beyond the lesion site -- 7.6 Translational research on biomaterials for central nervous system repair -- 7.7 Acknowledgments -- References -- 8 Tissue engineering and regenerative medicine in spinal cord injury repair -- 8.1 Introduction -- 8.1.1 Pathophysiology of spinal cord injury -- 8.2 Experimental models of spinal cord injury: methodology, advantages, disadvantages, and behavioral testing -- 8.2.1 Animal models of spinal cord injury -- 8.2.2 Behavioral testing of the animal spinal cord injury -- 8.2.2.1 Locomotor tests -- 8.2.2.2 Sensory tests -- 8.2.2.3 Sensory-motor tests -- 8.2.2.4 Autonomic tests -- 8.2.2.5 Training of the animals -- 8.3 Treatment strategies -- 8.3.1 Axon growth in spinal cord injury -- 8.4 Cell therapy: overview, comparison of various types of stem cells, methods of application -- 8.4.1 Mesenchymal stem cells -- 8.4.2 Neural stem and progenitor cells -- 8.4.3 Oligodendrocyte precursor cells -- 8.4.4 Schwann cells -- 8.4.5 Olfactory ensheathing cells -- 8.4.6 Cell transplantation route -- 8.5 Antioxidant treatment -- 8.5.1 Epigallocatechin-3-gallate -- 8.5.2 Curcumin -- 8.6 Biomaterials in spinal cord injury -- 8.6.1 Synthetic scaffolds for spinal cord injury -- 8.6.2 Natural scaffolds -- 8.6.3 Biomaterials in clinical applications -- 8.6.4 Combinatory therapies -- 8.7 Low-level laser therapy -- 8.8 Future perspectives -- 8.9 Acknowledgements -- 8.10 Contribution -- References. 9 Toward the therapeutic application of small interfering RNA bioconjugates in the central nervous system. EBL202104 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6225831 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2763871 BOOK MIGRATED 2763862 SzGeCERN 20210421183823.0 9780128178379 electronic version electronic version 9780128178362 print version oai:cds.cern.ch:2763862 cerncds:BOOK EBL 6222131 eng QD716.P45 .N366 2020 541.39499999999998 Boukherroub, Rabah Nanostructured photocatalysts from materials to applications in solar fuels and environmental remediation San Diego, CA Elsevier 2020 301 p ebook Micro and nano technologies Front Cover -- Nanostructured Photocatalysts -- Copyright Page -- Contents -- List of contributors -- Foreword -- 1 Design of efficient photocatalysts through band gap engineering -- 1.1 Introduction -- 1.1.1 Photocatalysis -- 1.1.2 Band structure -- 1.2 Band engineering -- 1.2.1 Anionic doping -- 1.2.2 Cationic doping -- 1.2.3 Solid solutions -- 1.3 Concluding remarks -- References -- 2 Photochemical synthesis of nanoscale multicomponent metal species and their application to photocatalytic and electrochem... -- 2.1 Introduction -- 2.2 Hydrogen evolution reaction cocatalysts -- 2.3 Oxygen evolution reaction cocatalysts -- 2.4 Summary and outlook -- References -- 3 Development of photocatalysts and system optimization for CO2 photoreduction -- 3.1 Photocatalytic reduction of CO2 -- 3.1.1 Introduction -- 3.1.2 Principles of CO2 photoreduction -- 3.1.3 Modeling of CO2 photocatalytic reduction reactions -- 3.2 Titania-based photocatalyst for CO2 photoreduction -- 3.2.1 Introduction -- 3.2.1.1 Properties and structure of TiO2 -- 3.2.2 Modification of TiO2-based photocatalyst -- 3.2.2.1 Doping -- 3.2.2.1.1 Metal doping -- 3.2.2.1.2 Nonmetal doping -- 3.2.2.2 Metal loading -- 3.2.2.3 Nanostructuring of TiO2 -- 3.3 Nontitania-based inorganic photocatalysts for CO2 photoreduction -- 3.3.1 Nanostructured inorganic photocatalysts -- 3.3.1.1 Sulfides -- 3.3.1.2 Oxides -- 3.3.1.3 Oxynitrides -- 3.3.1.4 Nitrides -- 3.3.2 Nanostructured carbon-based photocatalysts -- 3.4 Hole scavenger for CO2 photoreduction -- 3.4.1 Introduction -- 3.4.2 Inorganic hole scavenger -- 3.4.3 Organic hole scavenger -- 3.5 CO2 photoreduction process development and data collection -- 3.5.1 Introduction -- 3.5.2 Experimental and analytical examples -- 3.5.3 CO2 photoreduction process parameters -- 3.5.4 Kinetic modeling and systematic tools for CO2 photoreduction. 3.5.5 CO2 photoreduction product verification -- 3.5.6 Summary -- Acknowledgement -- References -- 4 Heterogeneous photocatalysis for water purification -- 4.1 Introduction -- 4.2 Oxidation mechanism -- 4.3 Factors affecting heterogeneous photocatalysis -- 4.3.1 Temperature -- 4.3.2 Water matrix -- 4.3.3 Catalyst concentration -- 4.3.4 Light wavelength and intensity -- 4.3.5 Initial concentration of the substrate -- 4.3.6 pH -- 4.4 Water purification applications -- 4.4.1 Organic pollutants -- 4.4.2 Biological contaminants -- 4.5 Process sustainability -- 4.5.1 Irradiation sources -- 4.5.2 Life cycle assessment of heterogeneous photocatalysis -- 4.6 Conclusions and reflections on the directions for future research -- References -- 5 Air purification applications using photocatalysis -- 5.1 Introduction -- 5.2 Photocatalysis for outdoor and indoor air -- 5.3 Operating with solar radiation -- 5.3.1 NOX control -- 5.3.2 Ozone -- 5.3.3 Self-cleaning properties -- 5.4 Operating with artificial light -- 5.5 Current standards for evaluation of materials -- 5.6 Working with sunlight in outdoor and indoor air -- 5.7 Conclusions -- References -- 6 Substrate and support materials for photocatalysis -- 6.1 Glass -- 6.1.1 Pretreatment methods -- 6.1.2 Coating methods -- 6.2 Titanium -- 6.2.1 Pretreatment methods -- 6.2.2 Coating methods -- 6.3 Stainless steel -- 6.3.1 Pretreatment methods -- 6.3.2 Coating methods -- 6.4 Plastics -- 6.4.1 Pretreatment methods -- 6.4.2 Coating methods -- 6.5 Textiles -- 6.5.1 Pretreatment methods -- 6.5.2 Coating methods -- 6.6 Support summary -- References -- 7 Two-dimensional materials for photocatalytic water splitting and CO2 reduction -- 7.1 Introduction -- 7.1.1 Principles and working of photocatalytic water splitting and CO2 reduction -- 7.1.2 Challenges in photocatalysis and the rise of two-dimensional materials. 7.1.3 Improving the photocatalytic performance of two-dimensional materials -- 7.1.3.1 Band gap engineering (composition and thickness control, dopant and defect engineering) -- 7.1.3.2 Surface engineering (surface functionalization) -- 7.1.3.3 Interface engineering (hybridization) -- 7.2 Two-dimensional materials for photocatalytic hydrogen generation -- 7.2.1 Metal oxides -- 7.2.2 Metal chalcogenides -- 7.2.3 Graphene -- 7.2.4 Graphitic carbon nitride (g-C3N4) -- 7.2.5 Black phosphorous -- 7.2.6 Other emerging layered catalysts -- 7.3 Two-dimensional materials for photocatalytic CO2 reduction -- 7.3.1 Metal oxides -- 7.3.2 Metal chalcogenides -- 7.3.3 Graphene-based two-dimensional materials -- 7.3.4 Carbon nitride (C3N4) -- 7.3.5 Layered double hydroxides -- 7.3.6 MXenes -- 7.3.7 Others-oxyhalides, carbides, hBN, oxynitrides -- 7.4 Conclusion and outlook -- Acknowledgment -- References -- 8 Photocatalytic inactivation of microorganisms in water -- 8.1 Introduction -- 8.2 Fundamental mechanism of photocatalytic disinfection -- 8.3 Role of reactive oxygen species -- 8.4 Light distribution -- 8.5 Effect of water chemistry -- 8.6 Nature of the microorganism -- 8.7 Water temperature -- 8.8 Novel photocatalytic materials -- 8.9 Concluding remarks -- Acknowledgements -- References -- 9 Plasmon-induced photocatalytic transformations -- 9.1 Introduction -- 9.1.1 Heterogeneous catalysis -- 9.1.2 Photocatalysis -- 9.2 Concept of plasmonics and plasmon-induced photocatalysis -- 9.2.1 Localized surface plasmon resonance -- 9.2.2 Plasmon-induced photocatalysis -- 9.3 Nanostructured materials for plasmonic-induced photocatalysis -- 9.3.1 Nobel metal nanostructures -- 9.3.2 Metal-semiconductor nanostructures -- 9.4 Plasmon-induced photocatalysis: reactions and mechanisms -- 9.4.1 Resonant light-induced heating of the nanostructure. 9.4.2 Indirect charge-transfer mechanism -- 9.4.3 Direct charge-transfer mechanism -- 9.5 Conclusion and perspectives -- Acknowledgement -- References -- Index -- Back Cover. EBL202104 XX SzGeCERN BOOK B OGALE, Satishchandra Robertson, Neil https://cds.cern.ch/auth.py?r=EBLIB_P_6222131 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2763862 BOOK MIGRATED 2763850 SzGeCERN 20210421183823.0 9783319899350 electronic version electronic version 9783319899343 print version oai:cds.cern.ch:2763850 cerncds:BOOK EBL 6221511 eng QA75.5-76.95 363.70028500000001 Hřebíček, Jiří Environmental software systems computer science for environmental protection 12th IFIP WG 5.11 international symposium, ISESS 2017, Zadar, Croatia, May 10-12, 2017, proceedings Cham Springer International Publishing AG 2018 492 p ebook IFIP advances in information and communication technology 507 EBL202104 XX SzGeCERN BOOK Denzer, Ralf Schimak, Gerald Pitner, Tomás https://cds.cern.ch/auth.py?r=EBLIB_P_6221511 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2763850 BOOK MIGRATED 2763840 SzGeCERN 20210421183823.0 9781785618970 electronic version electronic version 9781785618963 print version oai:cds.cern.ch:2763840 cerncds:BOOK EBL 6219844 eng TK7875 .M467 2020 621.38099999999997 Patrikar, Rajendra M Mems resonator filters Stevenage Institution of Engineering & Technology 2020 439 p ebook Materials, circuits and devices 65 Intro -- Contents -- 1. Introduction | Rajendra M. Patrikar -- 1.1 Low power issues -- 1.2 Miniaturization -- 1.3 Tunable filters -- 1.4 Integration with CMOS -- 1.5 Inside the book -- References -- 2. Filter design | Rajesh Junghare, Raghvendra Deshmukh and Rajendra Patrikar -- 2.1 Brief history of filters -- 2.1.1 Active filters -- 2.1.2 Electromechanical components -- 2.2 MEMS resonator filter design -- 2.2.1 RF MEMS filter -- 2.2.2 Advancement (evolution) of MEMS resonator -- 2.3 Theory of resonator -- 2.3.1 Mass damper model and electrical equivalent model -- 2.3.2 Actuation -- 2.3.3 Detection -- 2.4 Case study: disk resonator -- 2.4.1 Design and operation -- 2.4.2 In-plane bulk mode resonance and modal shape estimation -- 2.4.3 Electromechanical model of disk resonator -- 2.4.4 Electrical model -- 2.4.5 FEM simulation of disk resonator -- 2.4.6 FEM simulation of disk resonator with proposed fabrication flow -- 2.5 Coupled resonator -- 2.5.1 Coupling beam design -- 2.5.2 Case study: disk resonator-based filter -- 2.5.3 Case study: ring resonator-based filter -- 2.6 Summary -- References -- 3. Microelectromechanical resonators design: low-frequency resonators | Amol Morankar -- 3.1 Introduction -- 3.2 Low-frequency RF MEMS resonators -- 3.3 Actuation mechanism -- 3.3.1 Electrostatic actuation -- 3.3.2 Piezoelectric actuation -- 3.3.3 Magnetic actuation -- 3.4 Design of low-frequency MEMS resonator -- 3.4.1 Clamped-clamped beam design -- 3.4.2 Mechanical coupler design -- 3.4.3 Electrical coupling scheme -- 3.4.4 Suppression of spurious responses -- 3.5 Summary -- References -- 4. Microelectromechanical resonator design for high frequency | Prasanna Deshpande and Rajesh Pande -- 4.1 Introduction -- 4.2 Motivation and challenges -- 4.3 High frequency resonators -- 4.4 Literature survey -- 4.4.1 Introduction -- 4.5 Fundamentals of MEMS resonator. 4.5.1 MEMS resonator -- 4.5.2 History of MEMS resonator -- 4.5.3 MEMS resonators-modes of vibration -- 4.5.4 Analogy between mechanics and electronics -- 4.6 Transduction mechanism of MEMS resonators -- 4.7 Acoustic microresonator technologies -- 4.7.1 The concepts and the working principle of acoustic wave propagation -- 4.8 The piezoelectric theory -- 4.8.1 Piezoelectric resonator modes and associated frequency -- 4.9 Piezoelectric MEMS resonator -- 4.9.1 SAW resonator -- 4.9.2 BAW resonator -- 4.10 Some more piezoelectric MEMS resonators by different researchers -- 4.11 Subject of investigation -- 4.12 Design and modeling of MEMS resonator -- 4.12.1 Finite element modeling -- 4.13 One port lateral field excited contour mode piezoelectric MEMS resonator -- 4.13.1 Introduction -- 4.13.2 Design and analysis of contour mode resonator -- 4.14 Finite element simulations using COMSOLTM multiphysics -- 4.15 Mode shapes for lateral vibrating contour mode one-port resonator -- 4.16 Parameter optimization of one port contour mode MEMS resonator -- 4.16.1 Taguchi method -- 4.16.2 ANOVA statistics -- 4.17 Summary -- Acknowledgements -- References -- 5. Finite-element modeling of RF MEMS resonators | Ravi Solanki, Sakthi Swarrup J and Ashutosh Mahajan -- 5.1 Classification of RF MEMS resonators -- 5.1.1 Structure -- 5.1.2 Shapes -- 5.1.3 Vibration modes -- 5.1.4 Actuation mechanisms -- 5.1.5 Coupling mechanisms -- 5.2 Modeling of RF MEMS resonators -- 5.2.1 Mechanical model -- 5.2.2 Electrical equivalent model -- 5.2.3 Numerical simulation -- 5.3 Governing PDEs -- 5.3.1 Beam mechanics -- 5.3.2 Solid mechanics -- 5.3.3 Electrostatics -- 5.3.4 Thermal domain -- 5.3.5 Fluid domain -- 5.3.6 Coupled-domain analysis -- 5.4 Finite element method -- 5.4.1 Preprocessing -- 5.4.2 Weak formulation of Poisson's equation -- 5.4.3 Processing -- 5.4.4 Postprocessing. 5.4.5 Examples of Poisson's equation solved using FEM -- 5.5 Commercial MEMS design tools -- 5.5.1 CoventorWare -- 5.5.2 Intellisuite -- 5.5.3 COMSOL multiphysics -- 5.6 Summary -- References -- 6. Fabrication of low-frequency resonators | Amol Morankar -- 6.1 Introduction -- 6.2 Fabrication processes -- 6.2.1 Wafer cleaning process -- 6.2.2 Oxide deposition -- 6.2.3 Thin-film deposition -- 6.3 Device fabrication -- 6.4 Challenges in fabrication -- 6.5 Summary -- References -- 7. Fabrication of high-frequency resonators | Prasanna Deshpande and Rajesh Pande -- 7.1 Introduction -- 7.2 Main steps for fabrication -- 7.2.1 Oxidation of silicon -- 7.2.2 Metallization and piezoelectric layer deposition -- 7.2.3 Micromachining techniques -- 7.3 Sputter-deposited ZnO and its XRD pattern -- 7.4 Selection of materials for the fabrication of micromechanical resonator -- 7.5 Lithography-hard mask -- 7.5.1 Optical lithography -- 7.5.2 Electron beam lithography -- 7.6 Preparation of hard mask for interdigited laterally vibrating CMR -- 7.7 Challenges in the fabricating laterally vibrating CMR and issues related to lithography and its solution -- 7.8 Laterally vibrating CMR fabrication process -- 7.9 Tunability in resonance frequency -- 7.10 Summary -- Facilities at the INUP, IITB-fabrication lab -- Acknowledgements -- References -- 8. Filter and oscillator design using SAW/BAW resonators | Motoaki Hara -- 8.1 Introduction -- 8.2 Basis of the RF front-end circuit -- 8.2.1 Multiple access systems -- 8.2.2 Communication architecture -- 8.2.3 Remarks -- 8.3 Resonators and filters -- 8.3.1 Classification of resonators -- 8.3.2 Filter design -- 8.4 Performance improvement -- 8.4.1 Improvement of coupling coefficient -- 8.4.2 Improvement of Q -- 8.4.3 Low-Tcf technologies -- 8.4.4 Suppression of spurious responses -- 8.5 Summary -- References. 9. Testing and verification of MEMS resonator filters | Vasu Pulijala -- 9.1 Introduction -- 9.2 S-parameters -- 9.2.1 Derivation of scattering parameter for two-port network -- 9.2.2 Conversion of S-parameter to Z-parameter -- 9.3 Conversion of S-parameter to Y-parameter -- 9.4 Network analyzers -- 9.4.1 Vector network analyzer -- 9.4.2 Spectrum analyzer -- 9.5 Signal flow graphs and error models -- 9.6 Calibration -- 9.6.1 On-wafer measurement -- 9.6.2 On wafer calibration standards -- 9.6.3 Impedance standard substrate calibration and on-wafer DUT de-embedding -- 9.6.4 Verification of calibration -- 9.7 Calibration for off-chip measurements -- 9.8 Other testing methodologies -- 9.8.1 Optical detection -- 9.9 Measurement of intermodulation distortion in MEMS resonators -- 9.10 Summary -- References -- 10. 3D packaging for the integration of heterogeneous systems | Pavani Vamsi Krishna Nittala, Prosenjit Sen, K.N. Bhat, and M.M. Nayak -- 10.1 Three-dimensional integration -- 10.1.1 3D integration: manufacturing methods -- 10.2 3D IC technology landscape -- 10.2.1 Package-level 3D integration -- 10.2.2 Chip-level 3D integration -- 10.2.3 Within-die 3D integration -- 10.2.4 Monolithic 3D integration -- 10.3 3D heterogenous integration -- 10.4 3D stacking of ultra-thin silicon layers with functional MOS devices -- 10.4.1 Transistor fabrication NMOS and PMOS -- 10.4.2 Vertical stacking process flow -- 10.4.3 Keep-out zone -- 10.4.4 Characterization of the transferred devices -- 10.4.5 Reliability measurements on the ultra-thin silicon stack -- 10.5 3D integration of heterogeneous dies for fluorescent detection -- 10.5.1 Individual components fabrication -- 10.5.2 Hybrid integration -- 10.5.3 Device component testing -- 10.5.4 Experimental results -- 10.6 Summary -- References. 11. Reliability issues of MEMS resonators | Poorvi K. Joshi and Meghana A. Hasamnis -- 11.1 Introduction -- 11.2 MEMS reliability -- 11.3 The bathtub curve -- 11.3.1 Failure rate over the life of a product -- 11.4 Reliability evaluation methodologies -- 11.5 Acceleration factors -- 11.5.1 Lifetime units -- 11.6 Failure modes and mechanisms -- 11.6.1 Design phase failure modes -- 11.6.2 Manufacturing failure modes -- 11.6.3 In-use failures -- 11.6.4 Environmental failure modes -- 11.7 Root cause and failure analysis -- 11.7.1 Failure mode and effects analysis -- 11.7.2 RPN (risk priority number) levels -- 11.8 Analytical methods for failure analysis -- 11.8.1 Laser Doppler vibrometry -- 11.8.2 Interferometry (ZYGO optical profiler) -- 11.8.3 Scanning electron microscopy -- 11.8.4 Electron beam scatter detector (EBSD) -- 11.8.5 Transmission electron microscopy -- 11.8.6 Focused ion beam (FIB) -- 11.8.7 Atomic force microscopy -- 11.8.8 Auger analysis -- 11.8.9 Electron beam-induced current -- 11.9 Reliability study of resonator -- 11.9.1 Process and materials -- 11.10 Long-term stability -- 11.10.1 Stiffening effect -- 11.10.2 Shock response -- 11.10.3 Environmental influence -- 11.10.4 "Flycatcher" effect -- 11.11 Reliability of wafer-level vacuum package -- 11.11.1 Autoclave test -- 11.11.2 High-temperature storage life test -- 11.11.3 Mechanical strength of bonding -- 11.12 Summary -- References -- Index. This book explores the challenges and opportunities of developing circuits with MEMS resonator filters. The replacement of classical electrical components with electromechanical components is explored in this book, and the specific properties of MEMS resonators required in various frequency ranges are discussed. EBL202104 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6219844 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2763840 BOOK MIGRATED 2763831 SzGeCERN 20210421183824.0 9781784272142 electronic version electronic version 9781784272135 print version oai:cds.cern.ch:2763831 cerncds:BOOK EBL 6216170 eng G70.4 .W446 2020 621.36779999999999 Wegmann, Martin An introduction to spatial data analysis remote sensing and GIS with open source software Exeter Pelagic Publishing 2020 233 p ebook An Introduction to Spatial Data Analysis -- Half Title Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1. Introduction and overview -- 1.1 Spatial data -- 1.2 First spatial data analysis -- 1.3 Next steps -- Part I. Data acquisition, data preparation and map creation -- 2. Data acquisition -- 2.1 Spatial data for a research question -- 2.2 AOI -- 2.3 Thematic raster map acquisition -- 2.4 Thematic vector map acquisition -- 2.5 Satellite sensor data acquisition -- 2.6 Summary and further reading -- 3. Data preparation -- 3.1 Deciding on a projection -- 3.2 Reprojecting raster and vector layers -- 3.3 Clipping to an AOI -- 3.4 Stacking raster layers -- 3.5 Visualizing a raster stack as RGB -- 3.6 Summary and further reading -- 4. Creating maps -- 4.1 Maps in QGIS -- 4.2 Maps for presentations -- 4.3 Maps with statistical information -- 4.4 Common mistakes and recommendations -- 4.5 Summary and further reading -- Part II. Spatial field data acquisition and auxiliary data -- 5. Field data planning and preparation -- 5.1 Field sampling strategies -- 5.2 From GIS to global positioning system (GPS) -- 5.3 On-screen digitization -- 5.4 Summary and further reading -- 6. Field sampling using a global positioning system (GPS) -- 6.1 GPS in the field -- 6.2 GPX from GPS -- 6.3 Summary -- 7. From global positioning system (GPS) to geographic information system (GIS) -- 7.1 Joint coordinates and measurement sheet -- 7.2 Separate coordinates and measurement sheet -- 7.3 Point measurement to information -- 7.4 Summary -- Part III. Data analysis and new spatial information -- 8. Vector data analysis -- 8.1 Percentage area covered -- 8.2 Spatial distances -- 8.3 Summary and further analyses -- 9. Raster analysis -- 9.1 Spectral landscape indices -- 9.2 Topographic indices -- 9.3 Spectral landscape categories -- 9.4 Summary and further analysis. 10. Raster-vector intersection -- 10.1 Point statistics -- 10.2 Zonal statistics -- 10.3 Summary -- Part IV. Spatial coding -- 11. Introduction to coding -- 11.1 Why use the command line and what is ‘R’? -- 11.2 Getting started -- 11.3 Your very first command -- 11.4 Classes of data -- 11.5 Data indexing (subsetting) -- 11.6 Importing and exporting data -- 11.7 Functions -- 11.8 Loops -- 11.9 Scripts -- 11.10 Expanding functionality -- 11.11 Bugs, problems and challenges -- 11.12 Notation -- 11.13 Summary and further reading -- 12. Getting started with spatial coding -- 12.1 Spatial data in R -- 12.2 Importing and exporting data -- 12.3 Modifying spatial data -- 12.4 Downloading spatial data from within R -- 12.5 Organization of spatial analysis scripts -- 12.6 Summary -- 13. Spatial analysis in R -- 13.1 Vegetation indices -- 13.2 Digital elevation model (DEM) derivatives -- 13.3 Classification -- 13.4 Raster-vector interaction -- 13.5 Calculating and saving aggregated values -- 13.6 Summary and further reading -- 14. Creating graphs in R -- 14.1 Aggregated environmental information -- 14.2 Non-aggregated environmental information -- 14.3 Finalizing and saving the plot -- 14.4 Summary and further reading -- 15. Creating maps in R -- 15.1 Vector data -- 15.2 Plotting study area data -- 15.3 Summary and further reading -- Afterword and acknowledgements -- References -- Index. Readers will learn the essentials of spatial data handling using the open source software QGIS and be guided through the first steps in using the R programming language. The book includes the fundamentals of spatial data handling and analysis, working with real data from field to analysis. EBL202104 XX SzGeCERN BOOK Schwalb-Willmann, Jakob Dech, Stefan https://cds.cern.ch/auth.py?r=EBLIB_P_6216170 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2763831 BOOK MIGRATED 2763751 SzGeCERN 20210421183826.0 9783035736137 electronic version electronic version print version oai:cds.cern.ch:2763751 cerncds:BOOK EBL 6190108 eng QC182 .S967 2020 541.34529999999995 Wahyuningsih, Tutik Dwi Symposium of materials science and chemistry II Zurich Trans Tech Publications 2020 589 p ebook Key engineering materials 840 Intro -- Symposium of Materials Science and Chemistry II -- Preface -- Table of Contents -- Chapter 1: Materials and Technologies for Environmental Engineering -- Jaranan Wood (Lannea coromandelica)-Derived Porous Carbon and its Performance for Anionic Surfactant Adsorption -- The Effectiveness Adsorption of Au(III) and Cu(II) Ion by Mangosteen Rind (Garcinia mangostana L.) Using Point of Zero Charge Calculation -- Isotherm and Thermodynamics Adsorption of Au(III) Ion by Mangosteen Rind (Garcinia mangostana L.) -- Immobilization of Dithizone on Natural Bentonite as Adsorbent of Cd(II) Ion -- Performance Comparison between Biocoagulant Based on Protein and Tannin Compared with Chemical Coagulant -- Synthesis of Glutaraldehyde-Crosslinked Carboxymethyl Cellulose-Polyvinyl Alcohol Film as an Adsorbent for Methylene Blue -- Preparation of Fe3O4@SiO2 Nanoparticles for Adsorption of Waste Containing Cu2+ Ions -- Adsorption of Copper(II) on Dithizone-Immobilized Coal Fly Ash -- Adsorption of Pb(II) from Aqueous Solutions on Dithizone-Immobilized Coal Fly Ash -- Adsorption of Cu2+ Metal Ions on Dithizone-Immobilized Natural Bentonite -- Ni0.5V0.5Fe2O4 Nanophotocatalyst: Preparation, Characterization and its Activity on Remazol Golden Yellow Degradation under Sunlight Irradiation -- Photoreduction of Pb(II) Using TiO2 Catalyst Modified with Fe3O4 Nanoparticles -- Chapter 2: Materials and Technologies for Food and Agricultural Application -- Effect of Carbonate Hydroxyapatite (CHA) on the Properties of Pectin Edible Films -- Effect of Simultaneous Saccharification and Fermentation (SSF) Time on Ethanol Production from Spent Medium of Oyster Mushroom (Pleurotus ostreatus) -- Inulinase Activity of Extracellular Protein of Lactobacillus casei AP in Different Growth Conditions. Evaluation Use of Calliandra calothyrsus Substituted Soybean Meal Supplement on Feed Nutrient Intake and Digestibility in the Kacang Goat -- Synthesis of 4-(5-Bromo-4-Hydroxyphenyl-3-Methoxy)-2-Butanone and the Activity Test as Fruit Flies Attractant -- Degradation of Nitrogen Fraction in Kacang Goats Feed Supplementation Calliandra сalothyrsus Substituted Soybean Meal -- Distribution and Abundance of a New Pest "Root and Bulb Parasitic Nematode" at Different Elevation Levels and Soil Abiotic Factors in Garlic Growing Centres in Central Java -- Kinetic Study on Crude Laccase of Marasmius sp. from Solid State Fermentation -- Host Range of Stem and Bulb Rot Parasite Nematode (Ditylenchus dipsaci) -- Synthesis Edible Film Chitosan/Polyethylene Glycol/ Carboxymethylcellulose with Lemongrass Oils as Insect Ovipositing Repellent -- Drying Model for "Rambak" Crackers Production Using Hybrid Greenhouse Effect Dryer with Stove Biomass and Clay Heat Exchanger -- Bioplastic Composite of Carboxymethyl Cellulose/N-P-K Fertilizer -- DNA Barcoding and Phylogenetic Analysis Sugarcane (Saccharum officinarum L.) Based on matK ( maturase K) Gene -- Chapter 3: Materials and Technologies in Pharmacology and Biomanufacturing -- Micronization of Hydrothermally Extracted Phytochemical Compounds from Gracilaria Sp Using Electrospraying -- Study on Microwave Hydrodiffusion Gravity Extraction of the Vegetable Oil from Calophyllum inophyllum L Seed -- Kinetics Study Using Solvent-Free Microwave Extraction of Essential Oil from Allium sativum L. -- Crude Fucoidan Activity Extracted from Sargassum sp. as Mycotoxin (T-2) Binder -- Study on Factors Affecting the Extraction of Ocimum basilicum Using Hydrodistillation Method -- Antibacterial Activity of Traditional Medicine Scurrula atropurpurea (BL) DANS and their Endophytic Fungi. Antioxidant Activity of Sulfated Polysaccharide Extract from Green Seaweed (Caulerpa lentillifera) Makassar, Indonesia -- Virtual Screening Based on Pharmacophore to Discover Host ER Alpha-Glucosidase II Inhibitor for Dengue Therapy -- Utilization of Flavonoid Compounds as HER2 Tyrosine Kinase Inhibitor in Breast Cancer Using Fragment-Based Drug Design -- Discovery of Novel α-Amylase Inhibitors as Type Two Diabetes Mellitus Therapy through Fragment-Based Drug Design -- Synthesis N-Phenyl Pyrazoline from Dibenzakacetone and Heme Polymeration Inhibitory Activity (HPIA) Assay -- Highly Efficient Synthesis of Oxindole Derivatives Via Catalytic Intramolecular C-H Insertion Reactions of Diazoamides -- One Step Synthesis of Symmetrical Amino Azine Derivatives Using Hydrazine Hydrate as a Reagent -- Synthesis, Characterization, and Antibacterial Evaluation of Curcumin-Sulfanilamide Compound -- Discovery of Natural Product Compounds as Dengue Virus NS5 Methyltransferase Inhibitor Candidate through in Silico Method -- Synthesis, In Vitro Anticancer Activity and In Silico Study of some Benzylidene Hydrazide Derivatives -- Isolation and Antimicrobial Screening of Actinomycetes from the Soil of Enggano Island, Indonesia -- Chapter 4: Materials and Technologies for Biomedical Application -- Synthesis of Nano-Hydroxyapatite from Snakehead (Channa striata) Fish Bone and its Antibacterial Properties -- Compressive Strength of Dental E-Glass Microfiber-Reinforced Composite Resin in Mouthwash Immersion -- The Porosity and Human Gingival Cells Attachment of Synthetic Coral Scaffold for Bone Regeneration -- Free Na and Less Fe Compositions of SiO2 Extracted from Rice Husk Ash as the Silica Source for Synthesis of White Mineral Trioxide Aggregate -- Hydroxyapatite Extracted from Fish Bone Wastes by Heat Treatment. Comparison of Biocompatibility of Fibroin Cocoon Bombyx mori L., Mineral Trioxide Aggregate (MTA), and Resin Modified Glass Ionomer Cement (RMGIC) as Pulp Capping Materials to Human Primary Dental Pulp Cells -- Synthesis and Characterization of White Mineral Trioxide Aggregate Using Precipitated Calcium Carbonate Extracted from Limestone -- Stainless Steel 316 L Metal Coating with Capiz Shell Hydroxyapatite Using Electrophoretic Deposition Method as Bone Implant Candidate -- Effect of Varying Water-to-Powder Ratios on Compressive Strength and Porosity of Mineral Trioxide Aggregate -- Patch Film from Celullose Derivative Incorporating with Virgin Coconut Oil and its Physical and Antibacterial Properties -- Synthesis of Silver Nanoparticles Using Tyrosine as Reductor and Capping Agent -- Preparation of Chitosan-Polycaprolactone (PCL) Composite Nanofiber as Potential for Annulus Fibrosus Regeneration -- The Influence of SMAT and Polishing on the Degradation of AZ31B Magnesium Alloy in 3.5 Wt.% NaCl Solution -- Chapter 5: Materials and Technologies for Sensing and Detection -- Effect of Nitro Group on Imidazole Derivative as Colorimetric Chemosensor for Amines -- Simple and Low-Cost Rotating Analyzer Ellipsometer (RAE) for Wavelength Dependent Optical Constant Characterization of Novel Materials -- Application of the CO2 Laser Photoacoustic Spectroscopy in Detecting Ammonia Gas (NH3) in Liver Disease Patient's Breath -- Statistical Evaluation of Conventional and Portable Instrumentations for Cr(VI) Analysis on Chemistry Laboratory Waste Water -- Spectroscopic Ellipsometry Based Biosensor on Gold Thin Film for Detection of Microalgae -- Molecular Imprinting Polymer-Based QCM Sensor for Detection of α-Pinene -- Acetone Sensing Based on Transmittance of Hydroxyethyl Methacrylate-Liquid Crystal Materials. The Implementation of Fast Fourier Transform and Coherence Function to Detect the Millimetric Hole on Strip Iron Plate -- Chapter 6: Nanomaterials -- Effect of SWCNT Filler on Mechanical Properties and Electrical Conductivity of PVA/CS/GA/SWCNT Nanocomposite Thin Film -- Effect of Zn on Dielectric Properties of Co-ZnFe2O4 Magnetic Nanoparticles -- Synthesis of Fe3O4/TiO2 Nanocomposite as Photocatalyst in Photoreduction Reaction of CO2 Conversion to Methanol -- Low and High-Frequency Electro-Hydrodynamic Patterns in Nematic Liquid Crystal Aligned Using Dual Layer Alignment Produced by Nanofiber -- Effect of Stabilizing Agent of Sodium Citrate and Polyethylene Glycol on Structure of Fe3O4 Nanoparticles -- Synthesis of Gold Nanoparticles Using Glutamic Acid as a Reductor and Capping Agent -- Physicochemical Determination of Calcium Carbonate (CaCO3) from Chicken Eggshell -- Purification Method of Silver Nanoparticles (AgNPs) and its Identification Using UV-Vis Spectrophotometer -- Chapter 7: Structural and Functional Materials -- Quantum Simulations of Preferable H2O Dissociation Pathway on the Ru-Alloyed Pt(111) Surface Based on Density Functional Theory -- Isothermal Vapor-Liquid Equilibrium Measurement of Isobutanol + Isooctane/N-Heptane Binary Mixtures at Temperatures Range of 303.15-323.15 K -- Numerical Study of the Fermi Surface Evolution in Cuprates Using the One-Band Hubbard Model -- Experimental Study of Rare Earth Element Enrichment from Indonesian Coal Fly Ash: Alkaline Leaching -- Sonicated-Assisted Acid Treatment of Mordenite Using Acetic Acid -- Synthesis Strategy of Hierarchical Alumiosilicates from Low Grade Indonesian Kaolin with Adjusted Activity in Acetalization Reaction -- Porous Concrete as Non-Sand Concrete with Silica Fume Substitution for the Application of Sound Absorbing Materials in Buildings. Characteristics of Bamboo Particleboard Bonded with Citric Acid-Starch Using Three-Step Press Cycle Method. 5th International Conference on Science and Technology (ICST 2019) Selected, peer reviewed papers from the 5th International Conference on Science and Technology (ICST 2019), July 30-31, 2019, Yogyakarta, Indonesia. EBL202104 XX SzGeCERN BOOK Roto, Roto Adnan, Rohana Commeiras, Laurent Triyana, Kuwat Kartini, Indriana Motuzas, Julius Siswanta, Dwi https://cds.cern.ch/auth.py?r=EBLIB_P_6190108 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2763751 BOOK MIGRATED 2763730 SzGeCERN 20210421183826.0 9781000063950 electronic version electronic version 9780367429928 print version oai:cds.cern.ch:2763730 cerncds:BOOK EBL 6185853 eng HD69.P75 .W8 2020 658.404 Wu, Te Optimizing project management Milton Auerbach Publishers 2020 373 p ebook Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of Figures -- Figure 1.1 Project Dimensions Beyond Scope, Cost, and Time -- Figure 1.2 Project Management Roles. (Training and Consulting Content from Pmo Advisory LLC. Reprinted with Permission.) -- Figure 1.3 PM Skills, Attitudes, and Behaviors. (Training and Consulting Content from PMO Advisory LLC. Reprinted with Permission.) -- Figure 1.4 Active PMI Certification Holders. (January 2020). (PMI Fact File, February 2020. PMI Today, Project Management Institute.) -- Figure 1.5 Project Management Career Path. (Wu, T., 2017. The Sensible Guide to a Career in Project Management, Iexperi Press, New Jersey. Reprinted with Permission.) -- Figure 2.1 Traditional Waterfall Project Life Cycle. (Training and Consulting Content from PMO Advisory LLC. Reprinted with Permission.) -- Figure 2.2 Project Life Cycle in An Agile Approach. (Training and Consulting Content from PMO Advisory LLC. Reprinted with Permission.) -- Figure 2.3 Continuum of Traditional to Agile Approaches. (Training and Consulting Content from PMO Advisory LLC. Reprinted with Permission.) -- Figure 3.1 organizational Dimensions and Selective Activities. (Reprinted with Permission from PMO Advisory LLC.) -- Figure 3.2 PMO Maturity Levels. PMO, Project Management Office. (Reprinted with Permission from PMO Advisory LLC.) -- Figure 3.3 Entrance and Exit Criteria for Ideation. (Training and Consulting Content from PMO Advisory LLC. Reprinted with Permission.) -- Figure 3.4 Project Life Cycle Phase 1 - Ideation. (Training and Consulting Content from PMO Advisory LLC. Reprinted with Permission.) -- Figure 3.5 AHP Multicriteria Scoring Model. AHP, Analytical Hierarchy Process -- Figure 3.6 AHP Multicriteria Weighted Ranking. AHP, Analytical Hierarchy Process. Figure 3.7 AHP Singlecriterion Prioritization Model. AHP, Analytical Hierarchy Process -- Figure 6.1 Project Success and Project Management Success. (Training and Consulting Content from PMO Advisory LLC. Reprinted with Permission.) -- Figure 6.2 How to Think Like a Project Manager. (Training and Consulting Content from PMO Advisory LLC. Reprinted with Permission.) -- Figure 8.1 Normal Versus Expedited Schedule -- Figure 8.2 Expedited Plan -- Figure 8.3 original (Above) Versus Expedited (Below) Project Gantt Charts -- Figure 9.1 Stakeholder Evaluation Matrix -- Figure 9.2 Power/Interest Matrix -- Figure 9.3 Stakeholder Engagement Plan -- Figure 10.1 WBS By Deliverables. WBS, Work Breakdown Structure -- Figure 10.2 WBS By Functions. WBS, Work Breakdown Structure -- Figure 10.3 WBS By Life Cycle. WBS, Work Breakdown Structure -- Figure 11.1 Activity and Task Dependencies. (Training and Consulting Content from PMO Advisory LLC. Reprinted With Permission.) -- Figure 11.2 Microsoft Project Network Diagram -- Figure 12.1 Project Manager Skills. (Training and Consulting Content from PMO Advisory LLC. Reprinted with Permission.) -- Figure 12.2 Raci (Responsible, Accountable, Consult, Inform) -- Figure 14.1 Stakeholder Engagement By Number of Channels -- Figure 14.2 Forms of Communication -- Figure 14.3 Example Communications Management Plan. (Training and Consulting Content from Pmo Advisory LLC. Reprinted with Permission.) -- Figure 15.1 Risk Analysis -- Figure 15.2 Estimating Project Cost Using Monte Carlo Simulation. (Training and Consulting Content from Pmo Advisory LLC. Reprinted with Permission.) -- Figure 15.3 Force Field Analysis. (Training and Consulting Content from Pmo Advisory LLC. Reprinted with Permission.) -- Figure 15.4 Fault Tree Analysis. (Training and Consulting Content from Pmo Advisory LLC. Reprinted with Permission.). Figure 15.5 Risk Response Strategies. (Training and Consulting Content from Pmo Advisory LLC. Reprinted with Permission.) -- Figure 16.1 Quality Audit Dimensions -- Figure 18.1 Conflict Resolution Approaches. (Training and Consulting Content from Pmo Advisory LLC. Reprinted with Permission.) -- Figure 19.1 Good Governance Practices -- Figure 21.1 organization Project Management -- Figure 21.2 Strategic Business Execution Framework -- List of Tables -- Table 1.1 Example of Projects -- Table 1.2 Project Success Versus Project Management Success -- Table 2.1 Key Project Management Principles -- Table 2.2 Common Project Management Knowledge Domains -- Table 2.3 Project Management Processes -- Table 3.1 Project Ideation Phase -- Table 4.1 Project Initiation Questions -- Table 4.2 Good Practices for Getting Started -- Table 4.3 Good Practices to Manage Fuzzy Front End -- Table 5.1 Project Preparation Questions -- Table 5.2 Complexity Factors -- Table 5.3 Complex Problems and Solutions -- Table 6.1 Risks, Issues, and Change -- Table 13.1 Cost Management Plan Components -- Table 13.2 Factors Inuflencing Cost -- Table 13.3 Earned Value Management Example -- Table 17.1 Build Internally or Outsource -- Table 17.2 Contracting Type -- Table 18.1 Type of Project Conflicts By Thamhain and Wilemon -- Table 18.2 Simpliefid Types of Conflicts By Jehn -- Table 18.3 Conflict Resolution Styles -- Table 19.1 Project Governance Plan Template -- Table 19.2 Example of Governance Principles -- Table 20.1 Project Leadership Versus Project Management -- Table 21.1 Itil 4.0 Management Processes -- Table 21.2 Values, Behaviors, and Attitudes of an Execution Culture -- Table B.1 Key People in the Case -- Table B.2 Timeframe for the Case -- List of Templates in Appendix A -- Template 1 Identifying and Analyzing Projects -- Template 2 Project Charter. Template 3 Project Visioning Tool -- Template 4 User Story -- Template 5 Product Backlog -- Template 6 Sample Project Performance Dashboard -- Template 7 Risk Register -- Template 8 Issue Log -- Template 9 Project Assumption Log -- Template 10 Project Change Request Form -- Template 11 Postproject Evaluation Template -- Template 12 Project Governance Plan -- Preface -- Acknowledgments -- Author -- Part 1 Setting the Stages -- 1 Project Management - What and Why? -- Summary -- 1.1 Importance of Project Management -- 1.1.1 Overview -- 1.1.2 Project Management and its Environment -- 1.2 What is Project Management? -- 1.2.1 Dimensions of Project Management -- 1.2.2 Recognizing a Successful Project -- 1.3 The Role of Project Manager -- 1.4 About the Project Management Institute -- 1.5 Duty of Care -- 1.5.1 Case 1: Flint Michigan Water Crisis -- 1.5.2 Case 2: Boeing 737 Max Series -- 1.6 Why Project Management is an Exciting Field -- 1.7 Project Management in Motion -- 2 organizing Project Management Knowledge - Principles, Knowledge Domains, Life Cycles, and Agile Versus Traditional Approaches -- Summary -- 2.1 Project Management Principles -- 2.2 Core Project Management Knowledge Domains -- 2.3 Additional Knowledge Domains -- 2.4 Project Life Cycle -- 2.5 Predictive Approach Versus Adaptive Approach -- 2.5.1 Derivative Methodologies -- 2.6 Project Management Process -- 2.7 Optimizing Project Through "Right-Size" Project Management -- 2.7.1 Four Guidelines for Right-Size Project Management -- 2.8 Project Management in Motion -- Part 2 Projects in Motion - from Ideas to Results -- 3 Ideation - Aligning Projects with Strategy -- Summary -- 3.1 Strategic Business Execution and Environmental Context -- 3.2 Entrance and Exit Criteria for Ideation -- 3.3 Project Selection -- 3.4 Making Sound Project Decisions -- 3.5 Developing a Culture of Execution. 3.6 Business Case -- 3.7 Project Management in Motion -- 4 Initiation - Starting the Project Right -- Summary -- 4.1 The Challenges of Getting Started -- 4.2 What is the Fuzzy Front End? -- 4.2.1 Anatomy of the Fuzzy Front End -- 4.3 Good Practices for Managing the Fuzzy Front End -- 4.4 Seven Steps to Managing the Fuzzy Front End -- 4.5 The Project Charter -- 4.5.1 Project Charter Key Elements -- 4.6 Project Management in Motion -- 5 Preparation - Planning to Achieve Optimal Implementation -- Summary -- 5.1 About Preparation Phase -- 5.2 Project Complexity -- 5.2.1 Examples of Project Complexity - Problems and Potential Solutions -- 5.3 Identifying and Confronting Project Complexity -- 5.4 Project Management in Motion -- 6 Implementing Projects - Getting It Done -- Summary -- 6.1 The Art of Execution -- 6.2 Monitoring Projects -- 6.3 Managing Special Situations in Projects -- 6.4 Controlling Projects -- 6.5 Project Challenges During Implementation -- 6.6 Think Like a Project Manager -- 6.7 Achieve Sound Decisions -- 6.8 Project Management in Motion -- 7 Project Transition and/or Closure - Celebrating Success -- Summary -- 7.1 Transitioning and/or Closing Projects or Phases -- 7.2 Specific Transitions and/or Closures -- 7.2.1 Scope Transition and/or Closure -- 7.2.2 Schedule Transition and/or Closure -- 7.2.3 Cost Transition and/or Closure -- 7.2.4 Quality Transition and/or Closure -- 7.2.5 Resource Transition and/or Closure -- 7.2.6 Communication Transition and/or Closure -- 7.2.7 Risk Transition and/or Closure -- 7.2.8 Procurement Transition and/or Closure -- 7.2.9 Stakeholder Transition and/or Closure -- 7.2.10 Project Integration Transition and/or Closure -- 7.3 Project Management in Motion -- Part 3 Knowledge Domain -- 8 Project Integration Management - The Most Important Knowledge Domain -- Summary -- 8.1 Importance of Project Integration. 8.2 Project Integration Artifacts in Project Preparation Phase. EBL202104 XX SzGeCERN BOOK Gordon, Barrie https://cds.cern.ch/auth.py?r=EBLIB_P_6185853 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2763730 BOOK MIGRATED 2763723 SzGeCERN 20210421183827.0 9781000083002 electronic version electronic version 9780754642473 print version oai:cds.cern.ch:2763723 cerncds:BOOK EBL 6184717 eng T55 .P38 2017 658.40800000000002 Patankar, Manoj S Safety ethics cases from aviation, healthcare and occupational and environmental health Boca Raton, FL CRC Press 2005 247 p ebook Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- List of Figures -- List of Tables -- Preface -- Acknowledgments -- Foreword -- Chapter 1: Introduction to Ethical Decision-Making -- Chapter 2: Ethical Challenges in Aviation Maintenance -- Chapter 3: Aviation Maintenance Environment: The Context for Ethical Decisions -- Chapter 4: Ethical Responsibilities of Educators, Regulators and Professional Organizations in Aviation -- Chapter 5: Ethical Dilemmas in Healthcare -- Chapter 6: Key Themes in Healthcare Safety Dilemmas -- Chapter 7: Ethical Responsibilities of Educators, Regulators and Professional Organizations in Healthcare -- Chapter 8: Ethical Challenges in Occupational and Environmental Health -- Chapter 9: Cases from Occupational and Environmental Health -- Chapter 10: Ethical Responsibilities of Educators, Regulators and Professional Organizations in Occupational and Environmental Health -- Afterword -- Appendix: Cases for Classroom Discussions, Workshops or Other Interactive Opportunities -- Index. EBL202104 XX SzGeCERN BOOK Brown, Jeffrey P Treadwell, Melinda https://cds.cern.ch/auth.py?r=EBLIB_P_6184717 ebook n 202115 21 PUBLIC https://catalogue.library.cern/legacy/2763723 BOOK MIGRATED 2763721 SzGeCERN 20210421183827.0 9788770221412 electronic version electronic version 9788770221429 print version oai:cds.cern.ch:2763721 cerncds:BOOK EBL 6184639 eng BD331 .V578 2020 6.8 Bozgeyikli, Lila Virtual reality recent advancements, applications and challenges Aalborg River Publishers 2020 296 p ebook River Publishers series in automation, control and robotics Front Cover -- Half Title -- Series Page - RIVER PUBLISHERS SERIES IN AUTOMATION, CONTROL AND ROBOTICS -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- List of Contributors -- List of Figures -- List of Tables -- List of Abbreviations -- Chapter 1 - Recent Application Areas, InteractionTechniques and User Interfaces in Virtual Reality -- 1.1 Introduction -- 1.2 Education and Training with Virtual Reality -- 1.2.1 Language Learning in VR -- 1.2.2 Learning Physics Concepts in VR -- 1.2.3 Learning How to use a Cooking Knife in VR Through Intuitive Tangible User Interfaces -- 1.3 Assessment and Treatment of Cognitive Disorders in VR -- 1.3.1 A Review on Recent Works on the Assessment and Treatment of Cognitive Disorders in VR -- 1.3.2 Improving Lives of Individuals with Alzheimer's Disease with VR -- 1.4 Assessment and Treatment of Eating Disorders with VR -- 1.4.1 Cue Exposure Therapy in VR for Undereating Disorders -- 1.4.2 Using VR for Jogging for Exposure to Acute Urge to be Physically Active in Patients with Eating Disorders -- 1.4.3 Outcome at Six Month Follow Up After VR Therapy for Undereating Disorders -- 1.5 Use of VR for Increasing Empathy and Perspective Taking Ability -- 1.5.1 Preventing Bullying with VR -- 1.6 Use of VR for Entertainment-Based Activities -- 1.6.1 VR as an In-Car Entertainment Medium -- 1.6.2 Shopping in VR -- 1.6.3 VR for Parasailing -- 1.7 Interaction and User Interfaces in VR -- 1.7.1 Touch-Based UI for Mobile VR -- 1.7.2 Mobile Ungrounded Force Haptic Feedback in VR -- 1.7.3 Including Virtual Representation of Hands while Typing in VR with a Physical Keyboard -- 1.7.4 Haptic Revolver for Haptic Feedback in VR -- 1.7.5 Bimanual Haptic Controlling in VR -- 1.7.6 Data Visualization in VR -- 1.7.7 Eyes-Free Object Manipulation in VR -- 1.7.8 Breathing-Based Input in VR. 1.7.9 360-Degrees Browsing in VR -- 1.8 Conclusion -- References -- Chapter 2 - Digital and Visual Literacy, Video Games, and Virtual Reality -- 2.1 Introduction -- 2.2 The Growth of Visual Literacy -- 2.3 Thinking in Pictures -- 2.4 Comic Books and Film Studies -- 2.5 Video Games -- 2.6 Video Game Learning -- 2.7 Pretend Play and Situated Learning -- 2.8 Collaboration -- 2.9 Autonomy -- 2.10 Self-Regulated Learning -- 2.11 Observational vs. Participatory Learning and Volitional Control -- 2.12 Current Benefits and Applications of Virtual Reality -- 2.13 Virtual Reality in the Future -- 2.14 Conclusion -- References -- Chapter 3 - Virtual Reality and Movement Disorders -- 3.1 Introduction -- 3.1.1 Fear of Falling -- 3.1.2 Virtual Reality -- 3.1.3 Brain-Computer Interfaces -- 3.2 Goals and Contributions -- 3.3 Computational Infrastructure -- 3.4 Experimental Setups -- 3.4.1 Visual Cliffs While Walking Experiment -- 3.4.2 Height Control Experiment -- 3.5 Data Analysis -- 3.5.1 EEG Processing -- 3.5.2 Validation -- 3.6 Experimental Results -- 3.6.1 Visual Cliffs While Walking Experiment -- 3.6.2 Height Control Experiment -- 3.7 Discussion -- 3.7.1 Medical Care Costs -- 3.7.2 Clinical Implications of the Experimental Setups -- 3.8 Challenges, Open-Questions and Proposals -- 3.8.1 Procedural Treatment of Artifacts -- 3.8.2 Response of the Brain and Causality -- 3.8.3 Response of the Brain and Low-Rank Description -- 3.8.4 Response of the Brain, Local Causality and Persistent Homology -- 3.8.5 Feedback Signal -- 3.8.6 Machine Learning -- 3.9 Conclusions -- References -- Chapter 4 - Robotics in Virtual Reality -- 4.1 Body-in-the-Loop Control of Soft Robotic Exoskeletons During Virtual Manual Labor Tasks -- 4.1.1 Introduction -- 4.1.2 Use of Robotics to Prevent Injury in Industry. 4.1.3 Use of Virtual Reality in Evaluating the Effect of Stress and Anxiety in Industrial Settings -- 4.1.4 Applications of Integrated Virtual Reality and Robotics in Industry -- 4.1.4.1 Body-in-the-loop control of human-machine systems -- 4.1.4.2 Soft robotic exoskeleton actuation -- 4.1.4.3 FREE architectures for stiffness modulation -- 4.1.4.4 Nested FREE architectures for actuating joints -- 4.1.5 Conclusions -- References -- 4.2 Towards Mixed Reality System with Quadrotor: Autonomous Drone Positioning in Real and Virtual -- 4.2.1 Introduction -- 4.2.2 The Vive System -- 4.2.3 The Device -- 4.2.4 From 2D to 3D -- 4.2.5 Results -- 4.2.6 In Action -- 4.2.7 Conclusion -- 4.2.8 Designs and Source Code -- References -- 4.3 Augmented Reality Interaction vs. Tablet Computer Control as Intuitive Robot Programming Concept -- 4.3.1 Introduction -- 4.3.2 Related Work -- 4.3.2.1 User interfaces -- 4.3.2.2 Augmented reality in human-robot interaction -- 4.3.3 Interaction Concept -- 4.3.3.1 Input directions -- 4.3.3.2 Allocation of input directions -- 4.3.3.3 Design of virtual elements -- 4.3.3.4 Display orientation and position -- 4.3.3.5 Push detection -- 4.3.3.6 Gesture detection -- 4.3.4 System Implementation -- 4.3.4.1 Input directions -- 4.3.4.2 Allocation of input directions -- 4.3.4.3 Design of virtual elements -- 4.3.4.4 Display orientation and position -- 4.3.4.5 Push detection -- 4.3.4.6 Gesture detection -- 4.3.5 Evaluation -- 4.3.6 Results -- 4.3.7 Discussion -- 4.3.7.1 Objective data -- 4.3.7.2 Subjective data -- 4.3.8 Conclusion -- References -- 4.4 A Multimodal System Using Augmented Reality, Gestures, and Tactile Feedback for Robot Trajectory Programming and Execution -- 4.4.1 Introduction -- 4.4.2 Related Work -- 4.4.2.1 Augmented reality -- 4.4.2.2 Force feedback -- 4.4.2.3 Haptics -- 4.4.2.4 Gestures -- 4.4.3 System -- 4.4.3.1 Hardware. 4.4.3.2 Software -- 4.4.4 Pilot -- 4.4.5 Analysis -- 4.4.6 Result -- 4.4.7 Discussion -- 4.4.8 Conclusion and Future Work -- References -- 4.5 Augmented Reality Instructions for Shared Control Hand-held Robotic System -- 4.5.1 Introduction -- 4.5.1.1 Project background -- 4.5.1.2 Related work -- 4.5.2 Experimental Setup -- 4.5.3 Results -- 4.5.3.1 Speed regulation -- 4.5.3.2 Orientation accuracy -- 4.5.4 Conclusion -- References -- 4.6 Augmented Musical Reality via Smart Connected Pianos -- 4.6.1 Introduction -- 4.6.2 Methodology -- 4.6.2.1 Measuring emotion -- 4.6.2.2 Visual feedback -- 4.6.2.3 Real-time control -- 4.6.3 Conclusion -- References -- Chapter 5 - Enactive Steering of Simulations for Scientific Computing -- 5.1 Introduction -- 5.1.1 Experiential Media Systems -- 5.1.2 Steerable Scientific Simulations and Abductive Method -- 5.2 EMA: An Experiential Model of the Atmosphere -- 5.2.1 Visualization -- 5.2.2 Sonification -- 5.2.3 Enactive Scenarios -- 5.3 The SC Responsive Media Library -- 5.3.1 Architecture -- 5.3.2 Audio Instruments -- 5.3.3 Video Instruments -- 5.3.4 Lighting Instruments -- 5.3.5 Physical Sensors and Actuators -- 5.3.6 The SC State Engine: Continuously Evolving Media -- 5.4 Moving Beyond Point-and-Click Data Visualization -- References -- Chapter 6 - Improving User Experience in Virtual Reality -- 6.1 Presence and Performance in the TRUST Game -- 6.1.1 Introduction -- 6.1.2 Examples -- 6.1.2.1 Ectopia -- 6.1.2.2 Anno 2070 -- 6.1.2.3 iSeed -- 6.1.2.4 The code of everand -- 6.1.3 TRUST Game -- 6.1.4 Presence -- 6.1.5 Performance -- 6.1.6 Method -- 6.1.7 Results -- 6.1.7.1 Presence results -- 6.1.7.2 NASA TLX results -- 6.1.8 Analysis -- 6.1.8.1 Correlation -- 6.1.8.2 Parallel coordinates -- 6.1.9 Discussion and Conclusions -- References -- 6.2 The Portable VR4VR: A Virtual Reality System for Vocational Rehabilitation. 6.2.1 Introduction -- 6.2.2 Related Work -- 6.2.3 Design Aspects of the Portable VR4VR -- 6.2.3.1 Shelving skill module -- 6.2.3.2 Environmental awareness skill module -- 6.2.3.3 Money management skill module -- 6.2.3.4 Cleaning skill module -- 6.2.3.5 Loading the back of a truck skill module -- 6.2.3.6 Social skills skill module -- 6.2.3.7 Job interview skill module -- 6.2.3.8 Distracters -- 6.2.4 Technical Aspects of the Portable VR4VR -- 6.2.4.1 System components -- 6.2.4.2 Implementation -- 6.2.5 User Study -- 6.2.6 Conclusion -- 6.2.7 Future Works -- References -- 6.3 VRTouched: Towards Exploring Effects of Tactile Communication with Virtual Robots on User Experience in Virtual Reality -- 6.3.1 Introduction -- 6.3.2 Background -- 6.3.3 The VRTouched System -- 6.3.3.1 Design and components of the VRTouched system -- 6.3.3.2 Challenges -- 6.3.4 Conclusion and Future Work -- References -- 6.4 Emerging Challenges for HCI: Enabling Effective Use of VR in Education and Training -- 6.4.1 Introduction -- 6.4.1.1 Virtual reality and education -- 6.4.1.2 Usability and HCI evaluation -- 6.4.1.3 Enquiry-based learning -- 6.4.2 Virtual Learning and Training Spaces -- 6.4.3 Integrating XR into a VLE -- 6.4.4 Conclusions -- References -- Index -- About the Editors -- Back Cover. This book aims to provide a comprehensive update of the latest scientific research, mainly in Virtual Reality and partly in Augmented Reality, from the last five years. The content is themed around the application areas of training, education, robotics, health and well-being, and user experience. EBL202104 SzGeCERN XX BOOK Bozgeyikli, Ren https://cds.cern.ch/auth.py?r=EBLIB_P_6184639 ebook 202104 n 202115 21 PUBLIC https://catalogue.library.cern/legacy/2763721 BOOK MIGRATED 2763616 SzGeCERN 20210421183829.0 9781119662471 electronic version electronic version 9781119661894 print version oai:cds.cern.ch:2763616 cerncds:BOOK EBL 6174022 eng TK2945.Z55 .Z563 2020 621.31242399999996 Boddula, Rajender Zinc batteries basics, developments, and applications Newark, NJ John Wiley & Sons 2020 270 p ebook Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Carbon Nanomaterials for Zn-Ion Batteries -- 1.1 Introduction -- 1.2 Co4N (CN) - Carbon Fibers Network (CFN) - Carbon Cloth (CC) -- 1.3 N-Doping of Carbon Nanofibers -- 1.4 NiCo2S4 on Nitrogen-Doped Carbon Nanotubes -- 1.5 3D Phosphorous and Sulfur Co-Doped C -- Sponge With C Nanocrystal -- 1.6 2D Carbon Nanosheets -- 1.7 N-Doped Graphene Oxide With NiCo2O4 -- 1.8 Conclusions -- Acknowledgements -- References -- Chapter 2 Construction, Working, and Applications of Different Zn-Based Batteries -- 2.1 Introduction -- 2.2 History -- 2.3 Types of Batteries -- 2.3.1 Primary Battery -- 2.3.2 Secondary Battery -- 2.4 Zinc-Carbon Batteries -- 2.5 Zinc-Cerium Batteries -- 2.6 Zinc-Bromine Flow Batteries -- References -- Chapter 3 Nickel and Cobalt Materials for Zn Batteries -- 3.1 Introduction -- 3.2 Zinc Batteries -- 3.3 Nickel-Zinc Battery -- 3.3.1 History -- 3.3.2 Basics -- 3.3.3 Materials and Cost -- 3.3.4 Reliability -- 3.3.5 Voltage Drop -- 3.3.6 Performance -- 3.4 Advantages -- 3.5 Challenges -- 3.6 Effect of Metallic Additives, Cobalt and Zinc, on Nickel Electrode -- 3.7 Conclusion -- References -- Chapter 4 Manganese-Based Materials for Zn Batteries -- 4.1 Introduction -- 4.2 History of the Zinc and Zinc Batteries -- 4.3 Characteristics of Batteries -- 4.3.1 Capacity -- 4.3.2 Current -- 4.3.3 Power Density -- 4.4 MN-Based Zn Batteries -- 4.5 Conclusion -- References -- Chapter 5 Electrolytes for Zn-Ion Batteries -- 5.1 Introduction -- 5.2 Electrolytes for Rechargeable Zinc Ion Batteries (RZIBs) -- 5.2.1 Aqueous Electrolytes (AqEs) -- 5.2.1.1 Pros and Cons of AEs -- 5.2.1.2 Neutral or Mildly Acidic Electrolytes -- 5.2.2 Non-Aqueous Electrolytes -- 5.2.2.1 Solid Polymer Electrolytes -- 5.2.2.2 Hydrogel or Gel Electrolytes -- 5.2.2.3 Gel Polymer Electrolytes. 5.2.3 Ionic Liquid Electrolytes -- 5.2.4 Bio-Electrolyte -- 5.3 Summary -- Abbreviation Table -- Acknowledgments -- References -- Chapter 6 Anode Materials for Zinc-Ion Batteries -- 6.1 Introduction -- 6.2 Storage Mechanism -- 6.3 Zinc-Ion Battery Anodes -- 6.4 Future Prospects -- 6.5 Conclusion -- References -- Chapter 7 Cathode Materials for Zinc-Air Batteries -- 7.1 Introduction -- 7.1.1 Cathode Definition -- 7.2 Zinc Cathode Structure -- 7.3 Non-Valuable Materials for Cathode Electrocatalytic -- 7.4 Electrochemical Specifications of Activated Carbon as a Cathode -- 7.4.1 Electrochemical Evaluation of Cathode Substances La1−XCaxCoO3 Zinc Batteries -- 7.5 Extremely Durable and Inexpensive Cathode Air Catalyst -- 7.5.1 Co3O4/Mno2 NPs Dual Oxygen Catalyst as Cathode for Zn-Air Rechargeable Battery -- 7.5.2 Carbon Nanotubes (CNT) Employing Nitrogen as Catalyst in the Zinc/Air Battery System -- 7.5.3 Magnesium Oxide NPs Modified Catalyst for the Use of Air Electrodes in Zn/Air Batteries -- 7.5.4 Silver-Magnesium Oxide Nanocatalysts as Cathode for Zn-Air Batteries -- 7.5.5 One-Step Preparation of C-N Ni/Co-Doped Nanotube Hybrid as Outstanding Cathode Catalysts for Zinc-Air Batteries -- 7.6 Hierarchical Co3O4 Nano-Micro Array With Superior Working Characteristics Using Cathode Ray on Pliable and Rechargeable Battery -- 7.7 Dual Function Oxygen Catalyst Upon Active Iron-Based Zn-Air Rechargeable Batteries -- 7.7.1 Co4N and NC Fiber Coupling Connected to a Free-Acting Binary Cathode for Strong, Efficient, and Pliable Air Batteries -- 7.8 Conclusion -- Nomenclature -- References -- Chapter 8 Anode Materials for Zinc-Air Batteries -- 8.1 Introduction -- 8.2 Zinc Anodes -- 8.2.1 Downsizing of Zn Anodes -- 8.2.2 Design of Membrane Separators -- 8.2.3 The Use of ZnO Instead of Zn -- 8.2.4 Increase of Surface Area in Zn Anode Structure. 8.2.5 Coating of Zn Anode -- 8.2.5.1 Bismuth Oxide-Based Glasses -- 8.2.5.2 Silica -- 8.2.5.3 Carbon Nanotubes -- 8.2.5.4 ZnO@C -- 8.2.5.5 Zn-Al LDHs -- 8.2.5.6 ZnO@C-ZnAl LDHs -- 8.2.5.7 Tapioca -- 8.2.5.8 TiO2 -- 8.3 Conclusions -- References -- Chapter 9 Safety and Environmental Impacts of Zn Batteries -- 9.1 Introduction -- 9.2 Working Principle of Zinc-Based Batteries -- 9.2.1 Zinc-Air Batteries Basic Principle and Advances -- 9.2.2 Zinc Organic Polymer Batteries -- 9.2.3 Zinc-Ion Batteries -- 9.2.3.1 Zinc-Silver Batteries -- 9.2.3.2 Zinc-Nickel Batteries -- 9.2.3.3 Zinc-Manganese Battery -- 9.3 Batteries: Environment Impact, Solution, and Safety -- 9.3.1 Disposal of Batteries and Environmental Impact -- 9.3.2 Recycling of Zinc-Based Batteries -- 9.4 Conclusion -- Acknowledgement -- References -- Chapter 10 Basics and Developments of Zinc-Air Batteries -- 10.1 Introduction -- 10.1.1 Public Specifications -- 10.2 Zinc-Air Electrode Chemical Reaction -- 10.3 Zinc/Air Battery Construction -- 10.4 Primary Zn/Air Batteries -- 10.5 Principles of Configuration and Operation -- 10.6 Developments in Electrical Fuel Zn/Air Batteries -- 10.6.1 Zn/Air Versus Metal/Air Systems -- 10.7 Conclusion -- References -- Chapter 11 History and Development of Zinc Batteries -- 11.1 Introduction -- 11.2 Basic Concept -- 11.2.1 Components of Batteries -- 11.2.2 Classification of Batteries -- 11.2.2.1 Primary Batteries -- 11.2.2.2 Secondary or Rechargeable Batteries (RBs) -- 11.3 Cell Operation -- 11.3.1 Process of Discharge -- 11.3.2 Process of Charge -- 11.4 History -- 11.5 Different Types of Zinc Batteries -- 11.5.1 Zinc-Carbon Batteries -- 11.5.2 Zinc/Manganese Oxide Batteries (Alkaline Batteries) -- 11.5.3 Zinc/Silver Oxide Batteries -- 11.5.4 Zn-Air (Zn-O2) Batteries -- 11.5.4.1 Mechanically Rechargeable Batteries (Zn-O2 Batteries). 11.5.4.2 Electrically Rechargeable Batteries (Zn-O2 Batteries) -- 11.5.5 Hybrid Zn-O2 Batteries -- 11.5.5.1 Hybrid Zn-Ni/O2 Batteries -- 11.5.5.2 Hybrid Zn-Co/O2 Batteries -- 11.5.6 Aqueous Zinc-Ion Rechargeable Batteries -- 11.5.6.1 Zn2+ Insertion/Extraction Mechanism -- 11.5.6.2 Chemical Conversion Mechanism -- 11.5.6.3 H+ and Zn2+ Insertion/Extraction Mechanism -- 11.6 Future Perspectives -- 11.7 Conclusion -- Abbreviations -- Acknowledgement -- References -- Chapter 12 Electrolytes for Zinc-Air Batteries -- 12.1 Introduction -- 12.2 Aqueous Electrolytes -- 12.2.1 Alkaline Electrolytes -- 12.2.1.1 Dissolution of Zinc in Alkaline Systems -- 12.2.1.2 Insoluble Carbonates Precipitation -- 12.2.1.3 Effect of Water -- 12.2.1.4 Hydrogen Evolution -- 12.2.2 Neutral Electrolytes -- 12.2.3 Acidic Electrolytes -- 12.3 Electrolytes of Non-Aqueous -- 12.3.1 Non-Aqueous Electrolytes -- 12.4 Summary -- References -- Chapter 13 Security, Storage, Handling, Influences and Disposal/Recycling of Zinc Batteries -- 13.1 Introduction -- 13.2 Security of Zinc Battery -- 13.2.1 Modifications for Improving Performance -- 13.2.1.1 High Surface Area -- 13.2.1.2 Carbon-Based Electrode Additives -- 13.2.1.3 Discharge-Capturing Electrode Additives -- 13.2.1.4 Electrode Coatings -- 13.2.1.5 Electrolyte Additives -- 13.2.1.6 Heavy-Metals Electrode Additive -- 13.2.1.7 Polymeric Binders -- 13.2.2 Storage and Handling -- 13.3 Influence of Zinc Battery -- 13.3.1 Consumption of Natural Resources -- 13.3.2 Toxicity of Batteries to Humans -- 13.3.3 Toxicity of Batteries to the Aquatic Environment -- 13.4 Disposal/Recycling Options -- Acknowledgement -- References -- Chapter 14 Materials for Ni-Zn Batteries -- 14.1 Introduction -- 14.1.1 Functioning Principles of Nickel-Zinc Battery -- 14.1.2 Ni-Zn Battery Design -- 14.2 Expansion of Ni-Zn Battery. 14.2.1 Active Materials for the Battery -- 14.3 Application -- 14.4 Conclusion -- Acknowledgement -- References -- Index -- Also of Interest -- Check out these other forthcoming and published titles from Scrivener Publishing -- EULA. EBL202104 XX SzGeCERN BOOK Inamuddin Asiri, Abdullah M https://cds.cern.ch/auth.py?r=EBLIB_P_6174022 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2763616 BOOK MIGRATED 2763597 SzGeCERN 20210421183830.0 9780128168943 electronic version electronic version 9780128168011 print version oai:cds.cern.ch:2763597 cerncds:BOOK EBL 6166928 eng QA76.5915 .A383 2020 4 Neustein, Amy Advances in ubiquitous computing cyber-physical systems, smart cities and ecological monitoring San Diego, CA Elsevier Science & Technology 2020 338 p ebook Intro -- Advances in Ubiquitous Computing: Cyber-Physical Systems, Smart Cities and Ecological Monitoring -- Copyright -- Contents -- Contributors -- Foreword -- Introduction -- Part 1: Wireless sensor networks and cyber-physical systems: New approaches and methods -- Chapter 1: Routing protocols for wireless sensor networks: A survey -- 1.1. Introduction -- 1.2. Application of WSNs -- 1.3. Characteristics and constraints of WSNs -- 1.4. Network topology of WSNs -- 1.4.1. Bus topology -- 1.4.2. Tree topology -- 1.4.3. Star topology -- 1.4.4. Mesh topology -- 1.5. Routing protocol for WSNs -- 1.5.1. Hierarchical routing protocol -- 1.5.1.1. Low energy adaptive clustering hierarchy -- 1.5.1.2. Power efficient gathering in sensor information systems -- 1.5.1.3. Threshold sensitive energy efficient sensor network protocol -- 1.5.1.4. Hybrid energy efficient distributed clustering -- 1.5.2. Data-centric routing protocol -- 1.5.2.1. Sensor protocol for information via negotiation -- 1.5.2.2. Directed diffusion -- 1.5.3. Location-based protocol -- 1.5.3.1. Geographic adaptive fidelity -- 1.5.3.2. Geographical and energy-aware routing -- 1.5.3.3. Minimum energy communication network -- 1.6. Conclusion -- References -- Chapter 2: Replay attack detection using excitation source and system features -- 2.1. Introduction -- 2.2. Replay speech signal -- 2.3. Features used for replay detection -- 2.3.1. LP residual-based implicit source features -- 2.3.1.1. RMFCC feature -- 2.3.1.2. LPRHEMFCC feature -- 2.3.1.3. RPCC features -- 2.3.1.4. Usefulness of LP residual features for replay detection -- 2.3.2. Explicit source features -- 2.3.2.1. Pitch contour feature -- 2.3.2.2. GFDCC feature -- 2.3.3. System features -- 2.3.3.1. MFCC feature -- 2.3.3.2. CQCC feature -- 2.4. Experimental study -- 2.4.1. Databases -- 2.4.1.1. IITG-MV -- 2.4.1.2. ASVspoof 2017. 2.4.2. Experimental setup -- 2.4.2.1. Features -- 2.4.2.2. Classifiers -- 2.4.2.3. Setups for ASV and spoof detection experiments -- 2.4.3. Evaluation process -- 2.4.3.1. Equal error rate and detection error tradeoff -- 2.4.3.2. Tandem-detection cost function -- 2.4.4. Experimental results and discussion -- 2.4.4.1. Results on the IITG-MV database -- 2.4.4.2. Results on ASVspoof 2017 database -- 2.4.4.3. Discussions -- 2.5. Summary and future scope -- Acknowledgments -- References -- Chapter 3: Hypergraph-based type theory for software development in a Cyber-Physical context -- 3.1. Hub applications and gatekeeper code -- 3.1.1. Gatekeeper code -- 3.1.2. Fragile code -- 3.1.3. Core language vs. external tools -- 3.2. Case studies -- 3.2.1. How ``Internet of Things´´ interoperability affects data modeling priorities -- 3.2.2. Linguistic case study -- 3.2.3. Proactive design -- 3.3. Directed Hypergraphs and generalized lambda calculus -- 3.3.1. Generalized lambda calculus -- 3.3.2. Directed Hypergraphs and ``channel abstractions´´ -- 3.3.3. Channelized hypergraphs and RDF -- 3.3.4. Procedural input/output protocols via type theory -- 3.3.4.1. Kinds of abstraction -- 3.3.4.2. Channelized type systems -- 3.4. Modeling procedures via channelized hypergraphs -- 3.4.1. Initializing function-typed values -- 3.4.1.1. Addressability and implementation -- 3.4.2. Dependent types and co-constructors -- 3.4.2.1. Dependent types and typestate -- 3.4.2.2. Simulating dependent types with preconstructors -- 3.5. Channels and carriers -- 3.5.1. Carrier transfers -- 3.5.1.1. Channel groups and code graphs -- 3.5.2. Channelized-type interpretations of larger-scale source code elements -- 3.5.2.1. Statements, blocks, and control flow -- 3.5.2.2. Code blocks as typed values -- 3.6. Conclusion -- References. Chapter 4: A new method of power efficient speech transmission over 5G networks using new signaling techniques -- 4.1. Introduction -- 4.2. Related work -- 4.3. Ultra-filter bank multicarrier modulation -- 4.4. Space-time codes -- 4.4.1. Bit error rate analysis using Alamouti coding -- 4.4.1.1. Encoding of speech symbols -- 4.4.1.2. Decoding of speech symbols -- 4.4.2. Orthogonal space-time block code -- 4.4.2.1. Encoding of speech symbols -- 4.4.2.2. Decoding of speech symbols -- 4.4.3. Maximal ratio combining -- 4.5. Bit error rate (BER) analysis of BPSK modulated system -- 4.6. Bit error rate (BER) analysis of a QAM modulated system -- 4.7. Proposed technique -- 4.8. Simulation results -- 4.9. Conclusion -- References -- Part 2: Smart cities/smart homes/smart communities -- Chapter 5: Study of robust language identification techniques for future smart cities -- 5.1. Introduction -- 5.2. Related works -- 5.3. Database -- 5.4. Baseline LID system -- 5.4.1. The i-vector-based LID system -- 5.4.2. LID system using DNN -- 5.4.3. LID system using DNN with attention -- 5.5. Performance of LID in mismatched environments -- 5.5.1. Language identification in noisy conditions -- 5.5.2. Language identification in a mobile environment -- 5.6. Proposed approaches for improving performance language identification in mismatched conditions -- 5.6.1. Improving the performance of LID systems by vowel region-based front-end system -- 5.6.2. Improving the performance of LID systems by enhancing the speech signals -- 5.6.3. Improving the performance of LID systems by using CL strategies -- 5.7. Conclusion and future scope -- Acknowledgment -- References -- Chapter 6: Effective natural interaction with our sensorized smart homes* -- 6.1. Introduction -- 6.2. Related work -- 6.2.1. Home sensors and actuators -- 6.2.2. High level handling of sensor networks. 6.2.3. ``Smart´´ appliances -- 6.2.4. Ubiquitous computing, interaction, and multidevice contexts -- 6.2.5. Human building interaction -- 6.2.6. Interaction with smart homes -- 6.2.7. Assistants -- 6.2.8. Design challenges in IoT and data contexts -- 6.2.8.1. Design for IoT -- 6.2.8.2. Design for data -- 6.3. An integrated vision for human-home interaction -- 6.4. Integrated ubiquitous distributed solution for a smart home -- 6.4.1. Smart home's information structuring -- 6.4.2. Users and context -- 6.4.3. Home control -- 6.4.4. Multimodal interaction support -- 6.4.5. Smart home test bench -- 6.5. Ubiquitous human-home interaction -- 6.5.1. Multimodal interaction -- 6.5.2. Conversational capabilities -- 6.5.2.1. Watson training -- 6.5.2.2. Device registering -- 6.6. Illustrative scenarios -- 6.6.1. Chatting with the smart home -- 6.6.2. Sending an email to the home -- 6.6.3. Assisting the very young and the elderly -- 6.6.4. Multimodal interaction across rooms -- 6.7. Conclusion -- Acknowledgment -- References -- Chapter 7: A study on the emotional state of a speaker in voice bio-metrics -- 7.1. Introduction -- 7.2. Emotional database -- 7.3. Baseline emotional SR system -- 7.4. Analysis of SR system performance in emotional conditions -- 7.4.1. Fundamental frequency -- 7.4.2. Strength of excitation -- 7.4.3. Energy of excitation -- 7.4.4. Duration -- 7.5. Proposed strategies for SR in emotional conditions -- 7.5.1. SR system with emotional UBM -- 7.5.2. SR system with emotional data -- 7.5.3. Selection of speaker model based on emotion recognition -- 7.6. Summary and conclusions -- Acknowledgments -- References -- Further reading -- Part 3: Ecological monitoring -- Chapter 8: Ubiquitous computing and biodiversity monitoring -- 8.1. Marine biodiversity monitoring -- 8.2. Terrestrial biodiversity monitoring -- 8.2.1. The ARBIMON acoustics project. 8.2.2. The AMIBIO project -- 8.3. Pest control -- 8.4. Health and disease transmission -- 8.5. Monitoring of urban ecosystems -- 8.6. Discussion and future trends -- References -- Further reading -- Chapter 9: The use of WSN (wireless sensor network) in the surveillance of endangered bird species -- 9.1. Introduction -- 9.2. Study area -- 9.3. Study bird species -- 9.3.1. The white-headed duck -- 9.3.1.1. General description and biometric feature (voice) -- 9.3.1.2. Habitat and social behavior -- 9.3.1.3. Annual statistics of individuals -- 9.3.2. The ferruginous duck -- 9.3.2.1. General description and biometric feature (voice) -- 9.3.2.2. Habitat and social behavior -- 9.3.2.3. Annual statistics of individuals -- 9.4. Measurement and data collection -- 9.5. Habitat monitoring and wildlife information gathering -- 9.5.1. Conventional observation method -- 9.5.2. Mobile devices -- 9.5.3. Fixed devices -- 9.5.4. Comparison -- 9.6. Wireless sensor networks -- 9.6.1. WSNs principles -- 9.6.2. Wireless sensor node structure -- 9.6.3. WSNs for wildlife monitoring -- 9.7. Methodology -- 9.7.1. Environmental noise -- 9.7.2. Limited computational capacity of wireless sensor nodes -- 9.8. Bird species recognition systems -- 9.8.1. Acoustic bird recognition system: Proposition 1 -- 9.8.1.1. Preprocessing and segmentation: TRD -- 9.8.1.2. Audio parameterization and noise reduction: MFCC-SS integration -- 9.8.1.3. Classification: SVM -- 9.8.2. Acoustic bird recognition system: Proposition 2 -- 9.8.2.1. Audio parameterization: Gammatone Teager energy cepstral coefficients -- 9.8.2.2. Classification -- 9.8.3. Alternative acoustic features used in birdsong/speech recognition systems -- 9.8.3.1. Perceptual MVDR-based cepstral coefficients -- 9.8.3.2. Perceptual-MVDR -- 9.8.3.3. Power-normalized cepstral coefficients. 9.8.3.4. Mel-scaled wavelet packet decomposition subband cepstral coefficient. EBL202104 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6166928 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2763597 BOOK MIGRATED 2763580 SzGeCERN 20210421183831.0 9781408105610 electronic version electronic version print version oai:cds.cern.ch:2763580 cerncds:BOOK EBL 6160011 eng HD60 .I47 2008 658.40800000000002 Impetus Consulting, Impetus Good green guide for small businesses London Bloomsbury Publishing 2009 146 p ebook Cover page -- Title Page -- Copyright Page -- Table of Contents -- Acknowledgements -- Introduction -- 1 Why go green? -- 2 Taking control of your resource use -- Case study 1: The three green 'Rs' lead to business growth -- 3 Environmental checks -- Case study 2: Investing in environmental technologies makes good business sense -- 4 Getting the team on board -- 5 Promoting your company's green credentials -- Case study 3: Preserving the intrinsic value of the environment -- 6 Adapting your business to climate change -- 7 Making your premises sustainable. Can a small business go green? Or should we ask if it can afford not to go green? This book is packed with practical, realistic, user-friendly advice for business owners or managers who want to change the way they work for the better. EBL202104 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6160011 ebook n 202115 21 PUBLIC https://catalogue.library.cern/legacy/2763580 BOOK MIGRATED 2763579 SzGeCERN 20210421183831.0 9781350068438 electronic version electronic version 9781350068414 print version oai:cds.cern.ch:2763579 cerncds:BOOK EBL 6159758 eng Z688.E6 .G355 2020 25.273067000000001 Galleymore, Isabel Teaching environmental writing ecocritical pedagogy and poetics London Bloomsbury Publishing 2020 200 p ebook Environmental cultures Cover -- Half-title Page -- Series Page -- Title Page -- Contents -- Acknowledgements -- Introduction -- The beginnings of environmental writing pedagogy -- Ecocriticism -- Transatlantic perspectives -- A new ecocritical pedagogy -- 1 'Where you are': Place writing -- 'We come into the world': Connections to the global -- Connection and causation -- Rewriting place -- 2 The 'I-me-my voice': The first-person in environmental writing -- 'I can make it carry my fatigue': The appropriative 'I' -- 'Casting my eye out / to see' -- 'From where you are now': Interconnective apostrophe -- Writing with another 'I' -- 3 'I am not a swift': Approaching non-humans -- Gill-pulse -- Material narratives -- 'Inseparable from all other things' -- Ethical anthropomorphisms? -- 4 Writing 'more in the world': Fact and figuration -- 'Facts. And what are they?' -- Metaphor's 'improvement of truth' -- 'Variegated excess' -- Re-identifying materiality -- 5 'On the world's terms and not my own': -- 'Between yes and no, so / and not so' -- Anthropocentric self-reflexivity -- Laughable descriptions? -- Writing self-reflexively -- Afterword -- Notes -- Bibliography -- Index -- Copyright Page. EBL202104 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6159758 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2763579 BOOK MIGRATED 2763515 SzGeCERN 20210421183832.0 9780444594839 electronic version electronic version 9780444594822 print version oai:cds.cern.ch:2763515 cerncds:BOOK EBL 6135625 eng QC454.A8 .S267 2020 539.70000000000005 Beauchemin, Diane Sample introduction systems in ICPMS and ICPOES Saint Louis Elsevier 2020 588 p ebook Front Cover -- Sample Introduction Systems in ICPMS and ICPOES -- Copyright -- Contents -- Contributors -- Preface -- Chapter 1 The inductively coupled plasma as a source for optical emission spectrometry and mass spectrometry -- 1.1 Introduction -- 1.2 The ICP torch -- 1.2.1 Plasma generation -- 1.2.2 Analyte excitation and ionization -- 1.3 Detection -- 1.3.1 Plasma viewing mode in ICPOES -- 1.3.2 Wavelength dispersion in ICPOES -- 1.3.3 Detectors in ICPOES -- 1.3.4 Plasma sampling interface in ICPMS -- 1.3.5 Mass analyzer in ICPMS -- 1.3.6 Detectors in ICPMS -- 1.4 Analytical figures of merit for an ICP spectrometer -- 1.5 Interferences -- 1.5.1 Spectroscopic interferences in ICPOES -- 1.5.2 Spectroscopic interferences in ICPMS -- 1.6 Matrix (non-spectroscopic) interferences -- 1.6.1 Matrix interferences in ICPOES -- 1.6.2 Matrix interferences in ICPMS -- 1.7 Mitigation of matrix effects -- 1.7.1 Optimizing instrumental parameters -- 1.7.2 Robust plasma approach -- 1.7.3 Calibration strategies -- 1.7.3.1 External calibration -- 1.7.3.2 Standard addition -- 1.7.3.3 Isotope dilution -- 1.7.4 Sample pretreatment -- 1.8 Mixed-gas plasmas -- 1.8.1 Mixed-gas plasmas in ICPOES -- 1.8.1.1 Nitrogen -- 1.8.1.2 Hydrogen -- 1.8.1.3 Oxygen -- 1.8.1.4 Helium and other gases -- 1.8.2 Mixed-gas plasmas in ICPMS -- 1.8.2.1 Nitrogen -- 1.8.2.2 Hydrogen and oxygen -- 1.8.2.3 Helium -- 1.8.2.4 Other gases -- 1.9 Conclusions -- References -- Chapter 2 Nebulization systems -- 2.1 Advantages of nebulizers for sample introduction -- 2.2 Importance of nebulizer's droplet size and transport efficiency -- 2.2.1 Droplet size calculations -- 2.2.2 Nebulizer droplet size comparisons -- 2.2.3 Tertiary droplet sizes and transport efficiency -- 2.2.4 Droplet size, sensitivity, stability, precision and accuracy. 2.3 Types of nebulizers -- 2.3.1 Concentric nebulizers -- 2.3.2 Cross flow nebulizers -- 2.3.3 V-Groove and thin film nebulizers -- 2.3.4 Enhanced Parallel Path nebulizers and Parallel Path nebulizers -- 2.3.5 Hildebrand Grid and CGrid nebulizers -- 2.3.6 Flow Blurring nebulizer -- 2.4 Specialty pneumatic nebulizers -- 2.4.1 Micro-flow nebulizers -- 2.4.1.1 Concentric micro-flow nebulizers -- 2.4.1.2 Non-concentric micro-flow nebulizers -- 2.4.2 Nano-flow nebulizers -- 2.4.2.1 Concentrics -- 2.4.2.2 Non-concentrics -- 2.4.3 Direct injection nebulizers -- 2.5 Ultrasonic nebulizers -- 2.6 Selection criteria -- 2.6.1 Cost -- 2.6.2 Detection limits/Sensitivity/Precision -- 2.6.3 High salts levels/Un-dissolved particles -- 2.6.4 Sample solution -- 2.6.5 Lifespan/long term stability -- 2.6.6 Self-aspirating vs. pump dependent nebulizers -- 2.6.7 Special/unusual samples -- 2.6.7.1 Personal bias again -- 2.7 Desolvation systems -- 2.8 Flow injection -- 2.9 Standardizing, internal standards, in-line dilution, in-chamber dilution -- 2.10 Spray chambers -- 2.10.1 Materials used to make spray chambers -- 2.10.2 Micro spray chambers -- 2.10.3 Re-introduction of samples -- 2.10.4 Hydride generation -- 2.10.5 Future spray chamber designs -- 2.11 Cleaning nebulizers, chambers, torches and interface cones -- 2.12 Problem solving -- 2.12.1 Drift -- 2.12.2 Poor precision -- 2.12.3 Unusual concentrations -- 2.12.4 No signal intensity -- 2.12.5 Other problems -- Acknowledgments -- References -- Chapter 3 Flow injection -- 3.1 Introduction -- 3.2 Principles -- 3.2.1 Definition and measurement of dispersion -- 3.2.2 Important FI parameters -- 3.2.3 Main components -- 3.2.4 Measurement conditions -- 3.3 Limited dispersion systems (D  =   1-2) -- 3.3.1 Instrumental set-up -- 3.3.2 Optimization of the ICP spectrometer. 3.3.3 Features -- 3.3.4 Calibration strategies -- 3.3.4.1 On-line internal standardization -- 3.3.4.2 On-line standard addition -- 3.3.4.3 On-line isotope dilution analysis -- 3.3.5 Applications -- 3.4 Medium dispersion systems (D  =   3-10) -- 3.4.1 Instrumental set-up -- 3.4.2 Features -- 3.4.3 Calibration strategies -- 3.4.3.1 On-line standard additions -- 3.4.3.2 On-line isotope dilution analysis -- 3.4.4 Applications -- 3.5 Large dispersion systems (D  &gt -- 10) -- 3.5.1 Instrumental set-up -- 3.5.2 Features -- 3.5.3 Calibration -- 3.5.4 Applications -- 3.6 Reduced dispersion systems (D  &lt -- 1) -- 3.6.1 Instrumental set-up -- 3.6.1.1 Sorption -- 3.6.1.2 Liquid-liquid extraction -- 3.6.1.3 Precipitation/dissolution -- 3.6.2 Optimization -- 3.6.2.1 Sorption -- 3.6.2.2 Liquid-liquid extraction -- 3.6.2.3 Precipitation/dissolution -- 3.6.3 Features -- 3.6.3.1 Sorption -- 3.6.3.2 Liquid-liquid extraction -- 3.6.3.3 Precipitation/dissolution -- 3.6.4 Applications -- 3.7 Conclusions -- References -- Chapter 4 Liquid chromatography -- 4.1 Principles -- 4.1.1 General principles -- 4.1.2 Types of LC -- 4.1.2.1 Partition (liquid-liquid) chromatography -- 4.1.2.2 Normal phase chromatography -- 4.1.2.3 Reversed phase chromatography -- 4.1.2.4 Hydrophilic interaction chromatography -- 4.1.2.5 Ion exchange chromatography -- 4.1.2.6 Size exclusion chromatography -- 4.1.2.7 Chiral chromatography -- 4.1.2.8 Affinity chromatography -- 4.2 Instrumentation -- 4.2.1 Pump -- 4.2.2 Injection valve -- 4.2.3 Filter -- 4.2.4 Column -- 4.2.5 Mobile phase -- 4.2.6 Connection to the nebulizer -- 4.2.7 Nebulization system -- 4.2.8 Maintenance of the HPLC system -- 4.3 Optimization -- 4.3.1 Optimization of ICP instrument operating conditions -- 4.3.2 Methanol in the mobile phase to enhance the ICPMS signal. 4.3.3 Improvement of sample introduction efficiency into the plasma -- 4.3.4 Gradient elution versus isocratic elution -- 4.4 Limitations -- 4.4.1 Sample extraction -- 4.4.2 Detection limit -- 4.4.3 Separation -- 4.4.4 Cost -- 4.4.5 Other considerations -- 4.4.6 Data processing -- 4.5 Calibration -- 4.5.1 External calibration -- 4.5.2 Method of standard addition -- 4.5.3 Internal standardization -- 4.5.4 Isotope dilution -- 4.6 Applications -- 4.7 Concluding remarks -- References -- Chapter 5 Gas chromatography -- 5.1 Introduction -- 5.1.1 Gas chromatography vs. liquid chromatography -- 5.2 Principles -- 5.3 Instrumentation -- 5.3.1 Column selection -- 5.3.2 Sample introduction -- 5.3.2.1 Split/splitless injection -- 5.3.2.2 Gas sampling valve -- 5.3.2.3 Purge and trap -- 5.3.2.4 Thermal desorption -- 5.3.3 Sample preparation -- 5.3.4 Interfacing GC to ICP spectrometry -- 5.3.4.1 Make-up gas approach -- 5.3.4.2 Simultaneous wet plasma approach -- 5.3.4.3 Dean's switch approach -- 5.3.5 GC-ICPOES -- 5.3.6 GC-ICPMS detection -- 5.3.6.1 Time-of-flight mass spectrometer -- 5.3.6.2 Double focusing mass spectrometer -- 5.3.6.3 Quadrupole mass spectrometer -- 5.3.6.4 Tandem mass spectrometry instrument -- 5.3.7 Optimization -- 5.4 Limitations -- 5.5 Calibrations -- 5.5.1 Compound independent calibration -- 5.5.2 Calibration using response factors from aqueous standards nebulization -- 5.5.3 Isotope dilution analysis -- 5.6 Applications -- 5.6.1 Environmental -- 5.6.2 Petroleum/petrochemical -- 5.6.2.1 Siloxanes -- 5.6.2.2 Propylene -- 5.6.3 Semiconductor -- 5.6.3.1 Germane in arsine -- 5.6.3.2 Hydrogen sulfide in phosphine -- 5.6.4 Product analysis -- 5.7 Final thoughts -- References -- Chapter 6 Capillary electrophoresis -- 6.1 Introduction -- 6.2 Principles. 6.2.1 Effect of temperature on electrophoretic mobility -- 6.2.2 Effect of permittivity on electrophoretic mobility -- 6.2.3 Effect of viscosity on electrophoretic mobility -- 6.2.4 Effect of co-ions and counter-ions on mobility -- 6.2.5 Electro-osmotic flow -- 6.2.6 Signal processing -- 6.2.6.1 Labile complex: Key parameter: Electrophoretic mobility -- 6.2.6.2 Stable complex: Key parameter: The area under the peak -- 6.2.6.3 Eigenpeaks in capillary electrophoresis -- 6.3 Instrumentation -- 6.3.1 Separation -- 6.3.2 Modes of sample injection -- 6.3.3 Detection -- 6.3.4 Miniaturization -- 6.4 Optimization -- 6.4.1 Interface optimization -- 6.4.1.1 Parallel path nebulizer -- 6.4.1.2 Teledyne CETAC technologies nebulizer -- 6.4.2 Ohm's law and the Joule effect -- 6.5 Calibration -- 6.5.1 External calibration, standard additions, internal standardization -- 6.5.2 Isotopic dilution -- 6.6 Applications -- 6.6.1 Applications to speciation studies -- 6.6.1.1 Applications to radioactive elements -- 6.6.1.2 Applications to bioinorganic chemistry -- 6.6.2 Application to isotopic analysis -- 6.7 Conclusions -- References -- Further reading -- Chapter 7 Field-flow fractionation -- 7.1 Principles -- 7.1.1 Retention in FlFFF -- 7.1.2 Retention in SdFFF -- 7.1.3 Retention in ElFFF -- 7.2 Instrumentation -- 7.2.1 Flow FFF (FlFFF) instrument set-up -- 7.2.2 Sedimentation FFF (SdFFF) instrument set-up -- 7.2.3 Electrical FFF (ElFFF) instrument set-up -- 7.3 Optimization -- 7.3.1 FlFFF optimization -- 7.3.2 SdFFF optimization -- 7.3.3 ElFFF optimization -- 7.4 Limitations -- 7.5 Calibration -- 7.5.1 FlFFF calibration -- 7.5.2 SdFFF calibration -- 7.5.3 ElFFF calibration -- 7.6 Applications -- 7.6.1 FlFFF-ICPMS applications -- 7.6.2 SdFFF-ICP spectrometry applications -- 7.7 Conclusions -- References. Chapter 8 Vapor generation. EBL202104 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6135625 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2763515 BOOK MIGRATED 2763503 SzGeCERN 20210421183833.0 9780128166093 electronic version electronic version 9780128163856 print version oai:cds.cern.ch:2763503 cerncds:BOOK EBL 6134252 eng TK7882.E2 .C646 2020 621.38927999999999 Peter, Dinesh The cognitive approach in cloud computing and Internet of Things technologies for surveillance tracking systems San Diego, CA Elsevier Science & Technology 2020 203 p ebook Intelligent data-centric systems : sensor collected intelligence Front Cover -- The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems -- Copyright Page -- Contents -- List of Contributors -- 1 Reliable Surveillance Tracking System based on Software Defined Internet of Things -- 1.1 Introduction -- 1.2 Surveillance Tracking System -- 1.2.1 Classification of the Surveillance -- 1.2.1.1 Audio surveillance -- 1.2.1.2 Video surveillance -- 1.2.1.3 Internet surveillance -- 1.2.2 Applications -- 1.2.2.1 Corporate surveillance -- 1.2.2.2 Public health surveillance -- 1.2.2.3 Vehicular surveillance -- 1.2.3 Challenges -- 1.2.3.1 Dynamic processing -- 1.2.3.2 Visual processing -- 1.2.3.3 Data management -- 1.2.3.4 Security and privacy -- 1.3 Wireless Communication Technologies -- 1.4 Software Defined Networking -- 1.5 Software Defined Surveillance Tracking System -- 1.5.1 Traffic Engineering -- 1.5.2 Proposed Traffic Engineering Framework -- 1.6 Conclusion -- References -- 2 An Efficient Provably Secure Identity-Based Authenticated Key Agreement Scheme for Intervehicular Ad Hoc Networks -- 2.1 Introduction -- 2.1.1 Related Work -- 2.2 Preliminaries -- 2.2.1 Hardness Assumptions -- 2.2.2 Desirable Security Attributes of Authenticated Key Agreement Protocols -- 2.3 Security Model -- 2.3.1 Participants -- 2.3.2 Session -- 2.3.3 Adversary -- 2.3.4 Fresh Session -- 2.3.5 Security Experiment -- 2.3.6 Definition 1 (eCK Security of Identity-Based Authenticated Key Agreement Protocol) -- 2.4 Provably Secure Identity-Based Authenticated Key Agreement Protocol for V2V Communications -- 2.4.1 Setup Phase -- 2.4.2 Entity Registration Phase -- 2.4.3 Key Agreement Phase -- 2.5 Security Analysis -- 2.5.1 Event W ^ F1a -- 2.5.1.1 Simulation -- 2.5.2 Event W ^ F1b -- 2.5.3 Event W ^ F2a -- 2.5.4 Event W ^ F2b -- 2.5.5 Event W ^ F2c -- 2.5.6 Event W ^ F2d. 2.6 Analysis of Dang et al.'s Identity-Based Authenticated Key Agreement Protocol -- 2.6.1 Key Compromise Impersonation Attack Against Dang et al.'s Protocol -- 2.6.2 Flaws in the Security Proof -- 2.7 Efficiency Analysis -- 2.8 Conclusion -- Acknowledgment -- References -- 3 Dynamic Self-Aware Task Assignment Algorithm for an Internet of Things-Based Wireless Surveillance System -- 3.1 Introduction -- 3.2 Related Works -- 3.2.1 Factors Affecting the Wireless Surveillance System -- 3.3 Self-Aware Dynamic Task Assignment Algorithm -- 3.3.1 Wireless Surveillance System Framework -- 3.3.2 Technique for Order of Preference by Similarity to Ideal Solution -- 3.3.3 Self-Aware Dynamic Task Assignment -- 3.4 Simulation Analysis and Results -- 3.4.1 Simulation Setup -- 3.4.2 Bandwidth Analysis -- 3.4.3 Energy Consumption -- 3.5 Conclusion -- References -- 4 Smart Vehicle Monitoring and Tracking System Powered by Active Radio Frequency Identification and Internet of Things -- 4.1 Related Works -- 4.2 Need for Smart Vehicle Monitoring System -- 4.3 Design of Smart Vehicle Monitoring System -- 4.4 Evaluation of SVM-ARFIoT -- 4.5 Conclusion -- References -- 5 An Efficient Framework for Object Tracking in Video Surveillance -- 5.1 Introduction -- 5.1.1 Objectives -- 5.2 Related Works -- 5.3 Proposed Work -- 5.4 Proposed Phases -- 5.4.1 Preprocessing -- 5.4.2 Object Detection -- 5.4.3 Feature Extraction -- 5.4.4 Object Segmentation -- 5.4.5 Object Tracking -- 5.5 Results and Discussions -- 5.5.1 Analysis Parameters -- 5.5.1.1 Precision -- 5.5.1.2 Recall -- 5.5.1.3 F-Measure(F) -- 5.5.1.4 Success and failure rate -- 5.6 Conclusion -- Acknowledgment -- References -- Further Reading -- 6 Development of Efficient Swarm Intelligence Algorithm for Simulating Two-Dimensional Orthomosaic for Terrain Mapping Usin... -- 6.1 Introduction -- 6.2 Literature Review. 6.2.1 Efficient Three-Dimensional Placement of a Unmanned Aerial Vehicle Using Particle Swarm Optimization -- 6.2.2 API Development for Cooperative Airborne-Based Sense and Avoid in Unmanned Aircraft System -- 6.2.3 Multiple-Scenario Unmanned Aerial System Control: A Systems Engineering Approach and Review of Existing Control Methods -- 6.2.4 Flocking Algorithm for Autonomous Flying Robots -- 6.2.5 A Ground Control Station for a Multiunmanned Aerial Vehicle Surveillance System -- 6.2.6 Multiunmanned Aerial Vehicle Control With the Paparazzi System -- 6.3 Related Works -- 6.3.1 Cooperative Unmanned Aerial Vehicle Methods -- 6.3.2 Path Planning -- 6.3.3 Collision Avoidance -- 6.4 Proposed Architecture -- 6.4.1 DroneKit-Python -- 6.4.1.1 Installation -- 6.4.2 DroneKit-Python Software in the Loop -- 6.4.2.1 Installation -- 6.4.2.2 Running software in the loop -- 6.4.3 MAVLink -- 6.4.4 ArduPilot -- 6.4.5 Mission Planner -- 6.4.6 Two-Dimensional Orthomosaics -- 6.5 Simulation of the DroneKit Software in the Loop -- 6.6 Collision Avoidance and Path Planning -- 6.7 Applications -- 6.8 Conclusion -- Further Reading -- 7 Trends of Sound Event Recognition in Audio Surveillance: A Recent Review and Study -- 7.1 Introduction -- 7.2 Nature of Sound Event Data -- 7.2.1 Nature of Data -- 7.3 Feature Extraction Techniques -- 7.3.1 Feature Selection -- 7.3.2 Feature Extraction -- 7.4 Sound Event Recognition Techniques -- 7.4.1 Nonprobabilistic Linear Classifier -- 7.4.1.1 Support vector machines -- 7.4.1.2 Hidden-Markov model -- 7.4.2 Deep Learning Methodologies -- 7.4.2.1 Neural networks -- 7.4.2.2 Convolutional neural networks -- 7.4.2.3 Recurrent neural network -- 7.5 Experimentation and Performance Analysis -- 7.5.1 Data Set -- 7.5.2 Comparative Study on Related Work -- 7.6 Future Directions and Conclusion -- References -- Further Reading. 8 Object Classification of Remote Sensing Image Using Deep Convolutional Neural Network -- 8.1 Introduction -- 8.2 Related Works -- 8.3 VGG-16 Deep Convolutional Neural Network Model -- 8.4 Data Set Description -- 8.5 Experimental Results and Analysis -- 8.5.1 Classification of Results for Various Hyperparameters -- 8.6 Conclusion -- References -- 9 Compressive Sensing-Aided Collision Avoidance System -- 9.1 Introduction -- 9.2 Theoretical Background -- 9.2.1 Sparsity -- 9.2.2 Compressed Sensing Problem Statement -- 9.2.3 Recovery -- 9.2.4 Quality Measurement -- 9.3 System -- 9.3.1 Signal Acquisition -- 9.3.2 Image Processing -- 9.3.3 Analysis -- 9.4 Result -- 9.5 Conclusion -- References -- 10 Review of Intellectual Video Surveillance Through Internet of Things -- 10.1 Introduction -- 10.1.1 Internet of Things Environmental Taxonomy -- 10.2 Video Surveillance-Internet of Things -- 10.2.1 Sensing and Monitoring -- 10.2.1.1 Sensor-based motion detection -- 10.2.1.1.1 Discrete sensing platform -- 10.2.1.1.2 Collaborative sensing platform -- 10.2.1.1.3 Wearable body sensors -- 10.2.1.2 Algorithm-based motion detection -- 10.2.1.3 Intelligent front-end devices -- 10.2.2 Internet of Things Data Analytics -- 10.2.3 Communication -- 10.2.3.1 Short-range communication -- 10.2.3.2 Medium-range communication -- 10.2.3.3 Long-range communication -- 10.2.4 Data Warehousing -- 10.2.4.1 Cloud -- 10.2.4.2 Fog and edge -- 10.2.4.3 Hybrid technologies -- 10.2.5 Application-Oriented Design -- 10.3 Conclusion -- References -- 11 Violence Detection in Automated Video Surveillance: Recent Trends and Comparative Studies -- 11.1 Introduction -- 11.2 Feature Descriptors -- 11.2.1 Histogram of Oriented Gradients -- 11.2.2 Space-Time Interest Points -- 11.2.3 Histogram of Oriented Optical Flow -- 11.2.4 Violence Flow Descriptor -- 11.3 Modeling Techniques. 11.3.1 Supervised Models -- 11.3.1.1 Shallow models -- 11.3.1.1.1 Support vector machine -- 11.3.1.2 Deep models -- 11.3.1.2.1 Artificial neural networks -- 11.3.1.2.2 Convolutional neural networks -- 11.3.1.2.3 Long short-term memory -- 11.3.2 Unsupervised Models -- 11.3.2.1 Shallow models -- 11.3.2.1.1 Principal component analysis -- 11.3.2.2 Deep models -- 11.3.2.2.1 Generative adversarial network -- 11.3.2.2.2 Autoencoders -- Convolutional autoencoder -- 3D Autoencoder -- 11.4 Experimental Study and Result Analysis -- 11.4.1 Data Sets -- 11.4.2 Comparative Study on Related Work -- 11.4.3 Our Baseline Study -- 11.5 Conclusion -- References -- 12 FPGA-Based Detection and Tracking System for Surveillance Camera -- 12.1 Introduction -- 12.2 Prior Research -- 12.3 Surveillance System Tasks and Challenges -- 12.4 Methodology -- 12.5 Conclusion -- References -- Further Reading -- Index -- Back Cover. EBL202104 XX SzGeCERN BOOK Alavi, Amir H Javadi, Bahman Fernandes, Steven L https://cds.cern.ch/auth.py?r=EBLIB_P_6134252 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2763503 BOOK MIGRATED 2763489 SzGeCERN 20210421183833.0 9781000067026 electronic version electronic version 9789814800914 print version oai:cds.cern.ch:2763489 cerncds:BOOK EBL 6132482 eng R857.N34 .H363 2020 610.28 Torchilin, Vladimir Handbook of materials for nanomedicine lipid-based and inorganic nanomaterials Milton Jenny Stanford Publishing 2020 521 p ebook Jenny Stanford series on biomedical nanotechnology Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- 1: Liposome-Scaffold Systems for Drug Delivery -- 1.1 Introduction -- 1.1.1 Benefits of Combining Liposomes and Scaffolds for Therapeutic Delivery -- 1.1.2 Clinical Considerations -- 1.2 Cargo Delivery from Liposome-Scaffold Composites -- 1.3 Hydrogels as Delivery Scaffolds -- 1.3.1 Chitosan-Based Scaffold-Liposome Composites -- 1.3.2 Collagen-Based Scaffold-Liposome Composites -- 1.4 Gelatin-Based Scaffold-Liposome Composites -- 1.5 Dextran-Based Scaffold-Liposome Composites -- 1.6 Alginate-Based Scaffold-Liposome Composites -- 1.7 Hyaluronic Acid-Based Scaffold-Liposome Composites -- 1.8 Other Materials for Scaffold-Liposome Composites -- 1.8.1 Ceramics -- 1.8.2 Nanofiber-Liposome Structures -- 1.9 Liposome-Scaffold Systems for Gene Delivery -- 1.10 Conclusions -- 2: Elastic Liposomes for Drug Delivery -- 2.1 Introduction -- 2.2 Overview -- 2.2.1 Liposome Conditioning -- 2.2.2 The Translation of Nanotechnology to Liposome: Delivery Systems -- 2.3 Liposome Membrane Materials -- 2.3.1 Phospholipids as Basic Building Blocks -- 2.3.2 Amphiphilicity Effects -- 2.3.3 Integral Membrane Fabrics -- 2.3.4 Cholesterol as a Membrane-Enhancing Additive -- 2.3.5 Structural Saturation by Reactive Functional Groups -- 2.3.6 Environmentally Responsive Phospholipids -- 2.3.7 Inferences on Liposome Circulation Times and Permissible Influencing Conditions -- 2.4 Liposome Fabrication Methods -- 2.4.1 Synthesis Mode Selection Criteria -- 2.4.2 The Bangham Method (Thin-Film Hydration) -- 2.4.3 Solvent Dispersion Mechanisms -- 2.4.4 Electroformation -- 2.4.5 Liposome Synthesis in the Absence of an Organic Solvent -- 2.4.6 Particle Sizing: Sonication and Extrusion -- 2.5 Applications -- 2.5.1 Applications of Liposomes in Medicine -- 2.5.2 Liposomes in Anticancer Therapy. 2.5.3 Immune Liposomes -- 2.5.4 Antimicrobial Therapy -- 2.5.5 Antiviral Therapy -- 2.5.6 Ultrasonic Imaging -- 2.6 Conclusions and Future Directions -- 3: Recent Advances with Targeted liposomes for Drug Delivery -- 3.1 Introduction -- 3.2 Liposomes Functionalized with Monoclonal Antibodies or Antibody Fragments -- 3.3 Liposomes Functionalized with Aptamers -- 3.4 Liposomes Functionalized with Peptides -- 3.5 Liposomes Functionalized with Folate -- 3.6 Uposomes Functionalized with Transferrin -- 3.7 Conclusion -- 4: Liposomal Drug Delivery System and Its Clinically Available Products -- 4.1 Introduction -- 4.2 Classification of Liposomes -- 4.2.1 Multilamellar Vesicles -- 4.2.2 Unilamellar Vesicles -- 4.2.2.1 Small Unilamellar Vesicles -- 4.2.2.2 Large Unilamellar Vesicles -- 4.3 Basic Components in the Preparation of Liposomes -- 4.3.1 Phospholipids -- 4.3.2 Cholesterol -- 4.4 Fundamental Properties of Liposomes -- 4.4.1 Fluidity of Lipid Bilayer -- 4.4.2 Surface Charge -- 4.4.3 Liposome Size -- 4.4.4 Surface Steric Effect -- 4.5 Limitations of Liposomes -- 4.5.1 Stability -- 4.5.2 Sterilization of Liposomal Formulations -- 4.5.3 Encapsulation Efficiency -- 4.6 Methods of Preparation of Liposomes -- 4.6.1 Thin Film Hydration -- 4.6.2 Reverse Phase Evaporation -- 4.6.3 Ethanol Injection -- 4.6.4 Ether Injection -- 4.6.5 Freeze Thaw Extrusion -- 4.6.6 Dehydration-Rehydration -- 4.7 Liposomal Products Available for Clinical Use -- 4.7.1 Liposomal Products Available in Market -- 4.7.1.1 Liposomal Products in Cancer Treatment -- 4.7.1.2 Liposomal Products in Viral Infections -- 4.7.1.3 Liposomal Products in fungal infections -- 4.7.1.4 Liposomal Products in Pain Management -- 4: 7.1.5 Liposomal Products in Photodynamic Therapy -- 4.7.2 Liposomal Products in Various Phases of Clinical Tlials -- 4.8 Conclusions -- 5: Solid Lipid Nanoparticles. 5.1 Introduction: History and Concept of SLN -- 5.2 Ingredients and Production of Solid Lipid Nanoparticles -- 5.2.1 General lngredients -- 5.2.2 SLN Preparation -- 5.2.2.1 High Shear Homogenization and Ultrasound -- 5.2.3 High-Pressure Homogenization -- 5.2.4 Hot Homogenization -- 5.2.5 Cold Homogenization -- 5.2.5.1 SLN Prepared by Solvent Emulsification/Evaporation -- 5.2.5.2 SLN Preparations by Solvent Injection -- 5.2.5.3 SLN Preparations by Dilution of Microemulsions or Liquid Crystalline Phases -- 5.2.6 Further Processing -- 5.2.6.1 Stelilization -- 5.2.6.2 Drying by Iyophilization, Nitrogen Purging and Spray Drying -- 5.3 SLN Structure and Characterization -- 5.4 The ''Frozen Emulsion Model" and AlterNative SLN Models -- 5.5 Nanostmctured Lipid Carriers -- 5.6 Drug Localization and Release -- 5.7 Administration Routes and in Vivo Data -- 5.8 Summary and Outlook -- 6: Lipoproteins for Biomedical Applications: Medical Imaging and Drug Delivery -- 6.1 Introduction -- 6.2 Lipoproteins -- 6.3 Lipoprotein-Based Contrast Agents -- 6.3.1 High-Density Lipoprotein Contrast Agents -- 6.3.1.1 Labeled Native HDL Contrast Agents -- 6.3.1.2 Reconstituted HDL Contrast Agents -- 6.3.1.3 Nanocrystal Loaded HDL Contrast Agents -- 6.3.1.4 Re-routed HDL Contrast Agents -- 6.3.2 Low-Density Lipoprotein-Based Imaging Probes -- 6.3.2.1 Labeled Native LDL Contrast Agents -- 6.3.2.2 Re-routed LDL Contrast Agents -- 6.3.2.3 Nanocrystalloaded LDL Contrast Agents -- 6.3.2.4 Reconstituted LDL Contrast Agents -- 6.3.3 Very Low-Density Lipoprotein-Based Contrast Agents -- 6.3.4 Chylomicron-Based Contrast Agents -- 6.4 Dntg Delivery with Lipoproteins -- 6.4.1 Drug Delivety with High-Density Lipoprotein -- 6.4.1.1 Properties of HDL in Drug Delivery -- 6.4.1.2 Exploiting the Targeting Properties of Native HD Land Other Lipoproteins -- 6.4.1.3 rHDL for Drug Delivery in Cancer. 6.4.1.4 rHDL for Drug Delivery in Cardiovascular and Neurodege Nerative Disease -- 6.4.1.5 Synthetic HDL Mimetics for Drug Delivety -- 6.4.2 Drug Delivery with Low-Density Lipoprotein -- 6.4.3 Drug Delivery with Very Low-Density Lipoprotein -- 6.4.4 Drug Delivery with Chylomicrons -- 6.5 Nucleic Acid be Livery with Lipoproteins -- 6.6 Conclusions -- 7: Exosomes in Cancer Disease, Progression, and Drug Resistance -- 7.1 Introduction -- 7.2 Exosome Biogenesis -- 7.3 Exosomes in Cancer Progression -- 7.3.1 Impact of Cancer Cell-Derived Exosomes on Stromal Cells -- 7.3.2 Impact of Cancer Cell-Derived Exosomes on Endothelial Cells -- 7.3.3 Impact of Cancer Cell-Derived Exosomes on Antigen-Presenting Cells and Other Immune Cells -- 7.3.4 Tumor-Derived Exosomes Regulate Organotypic Metastases -- 7.3.5 Activated Tumor Microenvironment-Derived Exosomes Accelerate Cancer Progression -- 7.4 Exosomes in Cancer Drug Resistance -- 7.5 Exosomes as Cancer Biomarkers -- 7.6 Exosomes in Cancer Immunotherapy -- 7.7 Summary -- 8: Porous Inorganic Nanomaterials for Drug Delivery -- 8.1 Introduction -- 8.2 Inorganic Porous Materials -- 8.3 Inorganic Mesoporous Drug Carriers -- 8.3.1 Mesoporous Silica as a Controlled Delivery System -- 8.3.2 Delivery Routes -- 8.4 Synthesis of Mesoporous Silica -- 8.5 Biodegradation and Elimination of Mesoporous Silica -- 8.6 Methods for Loading Drugs into Mesoporous Materials -- 8.7 Mesoporous Silica-Based Drug Delivery Systems -- 8.7.1 Cancer Therapy -- 8.7.2 Anti-Inflammatory Drugs -- 8.7.3 Antimicrobial Agents -- 8.7.4 Tissue Engineering -- 8.7.5 Gene Delivery -- 8.8 Toxicity of Mesoporous Silica -- 8.9 Future Perspectives -- 8.10 Concluding Remarks -- 9: Silica Nanoparticles for Diagnosis, Imaging and Theranostics -- 9.1 Introduction -- 9.2 Synthesis of Silica Nanoparticles -- 9.2.1 Non-Porous Silica. 9.2.2 Mesoporous Silica Nanopatticles (MSNs) -- 9.2.3 Core@ Shell Particles -- 9.2.3.1 Non-Porous shells -- 9.2.3.2 Mesoporous shells -- 9.3 Silica Nanoparticles for Imaging -- 9.3.1 Silica Nanoparticles as Carriers for Optical Imaging Agents -- 9.3.2 Silica Nanoparticles as Carriers for MRI, PET, SPECT Labels -- 9.4 Applications in Imaging and Diagnostics -- 9.4.1 In vitro Diagnostics with Silica Nanoparticles -- 9.4.2 Silica Nanoparticles in Live Cell Imaging -- 9.5 Core@Shell Nanoparticles for Multimodal Imaging and Theranostics -- 9.5.1 Multimodal Imaging -- 9.5.2 Intracellular Sensing -- 9.5.3 Theranostic Prospects -- 9.6 Conclusions -- 10: Silica Nanoparticles for Drug Delivery -- 10.1 History, Biocompatibility, and Endocytosis -- 10.2 Nonporous Silica -- 10.3 Mesoporous Silica -- 10.4 Hollow Silica -- 10.5 Silica-Shell/Rattle Type Silica -- 10.6 Magnetic Silica -- 10.7 Conclusions and Outlook -- 11: Hyaluronan-Functionalized Inorganic Nanohybrids for Drug Delivery -- 11.1 Introduction -- 11.2 Multifunctional Drug Delivery Vehicles Based on HA-Functionalized Mesoporous Silica Nanoparticles (HA-MSNs) -- 11.3 Multifunctional Drug Delivery Vehicles Based on HA-Functionalized Graphene and Its Derivatives -- 11.4 Multifunctional Drug Delivery Vehicles Based on HA-Functionalized Carbon Nanotubes -- 11.5 Multifunctional Drug Delivety Nanoplatforms Based on HA-Functionalized QDs and Carbon Dots (CDs) -- 11.6 Multifunctional Drug Delivety Platforms Based on HA-Functionalized Magnetic Nanoparticles (MNPs) -- 11.7 Conclusions and Future Outlook -- Index. EBL202104 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6132482 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2763489 BOOK MIGRATED 2763474 SzGeCERN 20210421183834.0 9780128169599 electronic version electronic version 9780128169582 print version oai:cds.cern.ch:2763474 cerncds:BOOK EBL 6130677 eng R855.3 .T434 2020 610.28 Kim, JiHyun Technology and health promoting attitude and behavior change San Diego, CA Elsevier Science & Technology 2020 430 p ebook Front Cover -- Technology And Health -- Technology And Health: Promoting Attitude And Behavior Change -- Copyright -- Contents -- List of Contributors -- Biographies -- About the Editors -- About the Chapter Authors -- Foreword -- References -- Preface -- Aims and purposes of this book -- Intended audience and field of study -- Scope of this book and content -- I - Theory and its application for health promotion -- 1 - The use of interactive technologies in health promotion and education: Theorizing potential interaction between ... -- Defining interactivity -- Conceptualizations and operationalizations of interactivity -- Effects of interactivity -- Empirical evidence of interactivity effects -- Inconsistent findings in the literature -- Message content constructs -- Message modality (interactivity) and message content (threat and efficacy) -- Interaction between message content and modality -- Possible directions of interaction and implications -- Conclusion -- References -- 2 - Digital embodiment and improving health outcomes: Healthy avatars make for healthy people -- Pain and recovery -- Physical activity -- Psychological well-being -- Food consumption and body image -- Discussion and conclusions -- References -- 3 - Avatar embodiment experiences to enhance mental health -- Defining avatar embodiment -- Technical features of avatar embodiment technologies -- The effects of avatar embodiment experiences -- Avatar embodiment technologies for mental health -- Future research directions -- Conclusion -- Acknowledgments -- References -- 4 - Age-sensitive well-being support: Design of interactive technologies that modulate internal-external attentiona ... -- Introduction -- Presence: the feeling of being in a world -- What is presence and why does it matter? -- Changes in presence across the life span. Maladjustments of presence and their remediation -- Presence and absence in dreaming and waking life -- Conclusions: toward adaptive presence throughout the course of life -- References -- II - VR + AR: Technology for health in virtual world -- 5 - Virtual reality as a promising tool to promote climate change awareness -- Immersive virtual reality for environmental literacy -- IVR for promoting the knowledge dimension of environmental literacy -- IVR for promoting the dispositions dimension of environmental literacy -- IVR for promoting the behavior dimension of environmental literacy -- IVR for environmental literacy: descriptive publications -- Moving forward -- References -- 6 - Augmented reality in health and medicine: A review of augmented reality application for health professionals, p ... -- Individual use of AR -- AR health interventions -- AR health at home -- Medical field level -- AR health education -- AR medical training and simulation -- AR for remote telemedicine -- AR for improving health Professional's understanding and empathy for patients -- Future research and challenges -- Conclusion -- References -- 7 - Clinical applications of virtual reality in patient-centered care -- Introduction -- Understanding virtual reality -- Defining virtual reality -- Types of virtual reality setups -- Creating content in virtual reality -- Patient-centered care -- Diagnostic uses of VR and technological considerations -- Treating anxiety disorders and phobias with VR and technological considerations -- Body rescripting for body dysmorphia and technological considerations -- Depression and technological considerations -- Pain management and technological considerations -- Pain management and rehabilitation in chronic pain and physical therapy and technological considerations -- General considerations and accessibility. The future of VR and technical improvements -- References -- III - lth: Mobile technology for health -- 8 - Theoretical advances in mobile health communication research: An empowerment approach to self-management -- Introduction -- Addressing theoretical shortcomings in mHealth research -- Multidimensional empowerment approach -- Psychological empowerment -- Empowerment by others - social influence -- Empowerment as a unique motivational concept -- Relevance of empowerment for self-management -- Previous research on empowerment and mHealth use -- Extending the focus toward a process perspective -- Empowerment as an antecedent of mHealth adoption and use -- Summarizing model -- Conclusion -- References -- 9 - Health goes mobile: State-of-the art and future research agenda -- Introduction -- Current developments in digital health (communication) -- Advantages and disadvantages of digital health information -- Toward mHealth: Categories and reach -- mHealth categories -- mHealth reach -- mHealth in developed and developing countries: State-of-the-art research -- Developed countries -- Developing countries and rural areas -- mHealth-usability and design aspects -- mHealth-acceptance, use, and promotion -- mHealth and theory development -- Future outlook and research agenda -- References -- 10 - At the nexus of participatory design and action research: Use of a public online forum in designing text messa ... -- Mobile health -- Perinatal education and tech-based interventions -- Participatory action research -- Participatory design research -- Methods -- Message development -- Sample and procedures -- Evaluation criteria and analysis -- Results -- Staying safe -- Attending to emotional health and efficacy -- Reformatting for relationship type -- Deleting text speak -- Increasing linkages, apps, and interactivity -- Discussion -- Limitations -- Conclusion. Appendix 10.1 -- Appendix 10.2 -- Acknowledgments -- References -- 11 - The effectiveness and moderators of mobile applications for health behavior change -- Introduction -- Advantages of health-related mobile apps -- Features of health-related mobile apps -- Effectiveness of health-related mobile apps -- Research questions -- Method -- Literature search -- Overview of metaanalysis -- Moderator coding -- Results -- Study description -- Overall analysis -- Moderator analyses -- Publication bias -- Discussion -- Moderators -- Limitations -- Implications and future research -- Conclusion -- References -- 12 - The impact of mHealth interventions: Improving health outcomes through narratives, mixed methods, and data min ... -- mHealth interventions -- mHealth intervention opportunities and challenges -- Narratives and data mining in mHealth -- Narrative-based research approaches -- Narratives inform data mining strategies for mHealth interventions -- Future directions -- References -- IV - Social media: Networked technology for health -- 13 - Beyond liking: Inspiring user-generated content for health promotion -- Literature review -- Social media, engagement, and influence -- Social media use and content creation -- Social media for health promotion campaigns -- Methodology -- Sample -- Analysis -- Findings -- Case 1: The ice bucket challenge -- Case 2: Movember -- Case 3: The it gets better project -- Discussion and implications -- Conclusion -- References -- 14 - Revisiting the social enhancement and social compensation hypotheses in the social media era: Evidence from a ... -- Literature review -- Online activities and subjective well-being -- Instant messaging and well-being -- Checking or updating profiles on SNS and well-being -- Sharing photos or videos and well-being1 -- Twitter and well-being -- Discussion boards and well-being. Moderating roles of extraversion and social support -- Method -- Participants -- Measures -- Dependent variable: Subjective well-being -- Independent variables: Socially oriented online activities -- Moderating variables: Extraversion and social support -- Control variables: Sociodemographics -- Analytic procedures -- Results -- Discussion -- References -- V - How technology changes our mind and behavior -- 15 - Innovative health interventions at the intersection of neuroimaging and multimedia design -- Promoting positive health changes -- Brain as predictor -- Synchrony and message processing -- Brain and social networks -- Diagnosing and treating health problems -- Identifying and diagnosing cognitive disorders -- Understanding health-related individual differences -- Brain training -- Neurofeedback -- Conclusion -- References -- 16 - Using persuasive messages to increase engagement with mental health video game apps -- Linguistic agency effects -- Linguistic causality effects -- Comparing linguistic agency and linguistic causality effects -- Causality stability effects -- Channel features -- Discussion -- Conclusion -- References -- 17 - The role of interactivity in new media-based health communication: Testing the interaction among interactivity ... -- Study rationale -- Threat and response efficacy -- Interactivity -- Study context and hypotheses -- Meningococcal vaccination -- Method -- Measures -- Manipulation checks -- Message involvement -- Message processing -- Message effectiveness -- Attitudes toward getting meningococcal vaccination -- Information seeking intention -- Behavioral intention -- Previous vaccine experience -- Demographic information -- Key findings -- Message involvement and message processing -- Message involvement -- Message processing -- Message effectiveness. Attitude, information seeking intention, and behavioral intention. EBL202104 XX SzGeCERN BOOK Song, Hayeon https://cds.cern.ch/auth.py?r=EBLIB_P_6130677 ebook n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2763474 BOOK MIGRATED 2763343 SzGeCERN 20210421183834.0 9783030662776 electronic version electronic version print version 9783030662769 print version 9783030662783 DOI 10.1007/978-3-030-66277-6 ebook oai:cds.cern.ch:2763343 cerncds:BOOK eng QA276-280 519.5 23 Quirk, Thomas J Excel 2019 for environmental sciences statistics a guide to solving practical problems 2nd ed. Cham Springer 2021 ebook Excel for statistics 2570-4605 Preface -- Acknowledgements -- 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 2 Random Number Generator -- 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- 4 One-Group t-Test for the Mean -- 5 Two-Group t-Test of the Difference of the Means for Independent Groups -- 6 Correlation and Simple Linear Regression -- 7 Multiple Correlation and Multiple Regression -- 8 One-Way Analysis of Variance (ANOVA) -- Appendix A: Answers to End-of-Chapter Practice Problems -- Appendix B: Practice Test -- Appendix C: Answers to Practice Test -- Appendix D: Statistical Formulas -- Appendix E: t-table -- Index. This book shows the capabilities of Microsoft Excel in teaching environmental science statistics effectively. Similar to the previously published Excel 2016 for Environmental Sciences Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental science problems. If understanding statistics isn’t the reader’s strongest suit, the reader is not mathematically inclined, or if the reader is new to computers or to Excel, this is the book to start off with. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Environmental Sciences Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. In this new edition, each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand environmental science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned. Mathematics and statistics SPR202104 SzGeCERN Mathematical Physics and Mathematics SPR Environmental sciences SPR Environmental Science and Engineering SPR Math Appl in Environmental Science BOOK Quirk, Meghan H Horton, Howard F SPR n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2763343 BOOK MIGRATED 2763302 SzGeCERN 20210421183835.0 9789813360846 electronic version electronic version print version 9789813360839 print version 9789813360853 print version 9789813360860 DOI 10.1007/978-981-33-6084-6 ebook oai:cds.cern.ch:2763302 cerncds:BOOK eng T50 530.8 23 Modern techniques of spectroscopy basics, instrumentation, and applications Singapore Springer 2021 ebook Progress in optical science and photonics 2363-5096 13 Fundamentals of ATR-FTIR Spectroscopy and its Role for Probing in-situ Molecular-Level Interactions -- Two Dimensional Infrared Spectroscopy: A Structure Sensitive Technique with Ultrafast Time Resolution -- Exploring Non-covalent Interactions by Jet-cooled Electronic and Vibrational Spectroscopy -- Classical- and Heterodyne-Detected Vibrational Sum Frequency Generation (VSFG) Spectroscopy and Its Application to Soft Interfaces -- Broadband Terahertz Spectroscopy -- Overview of Raman Spectroscopy: Fundamental to Applications -- Fundamentals and Applications of Surface Enhanced Raman Spectroscopy -- Tip-enhanced Raman Spectroscopy. The book highlights recent developments in the field of spectroscopy by providing the readers with an updated and high-level of overview. The focus of this book is on the introduction to concepts of modern spectroscopic techniques, recent technological innovations in this field, and current examples of applications to molecules and materials relevant for academia and industry. The book will be beneficial to researchers from various branches of science and technology, and is intended to point them to modern techniques, which might be useful for their specific problems. Spectroscopic techniques, that are discussed include, UV-Visible absorption spectroscopy, XPS, Raman spectroscopy, SERS, TERS, CARS, IR absorption spectroscopy, SFG, LIBS, Quantum cascade laser (QCL) spectroscopy, fluorescence spectroscopy, ellipsometry, cavity-enhanced absorption spectroscopy, such as cavity ring-down spectroscopy (CRDS) and evanescent wave-CRDS both in gas and condensed phases, time-resolved spectroscopy etc. Applications introduced in the different chapters demonstrates the usefulness of the spectroscopic techniques for the characterization of fundamental properties of molecules, e.g. in connection with environmental impact, bio-activity, or usefulness for pharmaceutical drugs, and materials important e.g. for nano-science, nuclear chemistry, or bio-applications. The book presents how spectroscopic techniques can help to better understand substances, which have also great impact on questions of social and economic relevance (environment, alternative energy, etc.). Physics and astronomy SPR202104 SzGeCERN XX SPR Nanochemistry BOOK Singh, Dheeraj ed. Pradhan, Manik ed. Materny, Arnulf ed. SPR n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2763302 BOOK MIGRATED 2763294 SzGeCERN 20210421183835.0 9789811565809 electronic version electronic version print version 9789811565793 print version 9789811565816 print version 9789811565823 DOI 10.1007/978-981-15-6580-9 ebook oai:cds.cern.ch:2763294 cerncds:BOOK eng QB495-500.269 520 23 500.5 23 Yu, Deng-Yun Technology of lunar soft lander Singapore Springer 2021 ebook Space technology library 38 Introduction -- System Design of Lunar Lander -- Thermal Control Technology of Lunar Lander -- Guidance, Navigation and Control Technology of Lunar Lander -- TT&C and Telecommunication Technology of Lunar Lander -- Integration and Assembly Technology of Lunar Lander -- System Testing and Validation Technology of Lunar Lander -- Future Prospects of Lunar Lander Technology. This book provides systematic descriptions of design methods, typical techniques, and validation methods for lunar soft landers, covering their environmental design, system design, sub-system design, assembly, testing and ground test validation based on the Chang’e-3 mission. Offering readers a comprehensive, systematic and in-depth introduction to the technologies used in China’s lunar soft landers, it presents detailed information on the design process for Chang’e-3, including methods and techniques that will be invaluable in future extraterrestrial soft lander design. As such, the book offers a unique reference guide for all researchers and professionals working on deep-space missions around the globe. . Physics and astronomy SPR202104 SzGeCERN XX SPR Space sciences SPR Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics) BOOK Sun, Ze-Zhou Zhang, He SPR n 202115 202104 21 PUBLIC https://catalogue.library.cern/legacy/2763294 BOOK MIGRATED 2763051 SzGeCERN 20210421183841.0 9780128203651 electronic version electronic version 9780128203606 print version oai:cds.cern.ch:2763051 cerncds:BOOK EBL 6465721 eng TK9203.B6 .O939 2021 621.4834 Ozawa, Mamoru Advances in power boilers San Diego Elsevier 2021 514 p ebook JSME series in thermal and nuclear power generation Front Cover -- Advances in Power Boilers -- Copyright Page -- Contents -- List of contributors -- About the editors -- Preface of JSME Series in Thermal and Nuclear Power Generation -- Preface to Volume 2: Advances in Power Boilers -- 1 Fossil fuels combustion and environmental issues -- Chapter outline -- 1.1 Introduction -- 1.2 Overview and properties of coal, oil, and gas -- 1.2.1 Coal -- 1.2.1.1 Formation -- 1.2.1.2 Classification -- 1.2.1.3 Properties -- 1.2.2 Oil -- 1.2.3 Gas -- 1.2.3.1 World natural gas supply and demand outlook -- 1.2.3.2 Changes in global LNG transactions -- 1.2.3.3 Changes in global natural gas sale prices -- 1.3 Combustion of fuels -- 1.3.1 Coal -- 1.3.1.1 Fundamentals of combustion -- 1.3.1.1.1 Combustion process -- 1.3.1.1.2 Combustion air and flue gas -- 1.3.1.2 Combustion systems -- 1.3.1.3 Combustion characteristics -- 1.3.1.3.1 Combustion efficiency -- 1.3.1.3.2 NOx formation -- 1.3.2 Oil -- 1.3.3 Gas -- 1.3.3.1 Natural gas-fired combustion -- 1.3.3.2 Blast furnace gas-fired combustion -- 1.3.3.3 Biogas-fired combustion -- 1.3.3.4 Alternative fuel gas-fired combustion -- 1.4 Emission-induced environmental issues and protection -- 1.4.1 Flue gas treatment technology -- 1.4.1.1 Dust collection technology -- 1.4.1.2 De-NOx technology -- 1.4.1.3 Flue gas desulfurization technology -- 1.4.1.4 Combined technologies to reduce NOx and SOx emissions -- 1.4.1.5 Mercury emission control technology -- 1.4.2 Wastewater treatment -- 1.4.2.1 Boron -- 1.4.2.2 Selenium -- 1.5 Remarks -- Nomenclature -- Notations -- Greek letters -- Subscripts -- References -- 2 Introduction to boilers -- Chapter Outline -- 2.1 Start of steam application to pumping water -- 2.2 Dawn of steam power -- 2.3 Classification of boilers -- 2.4 History of boiler development -- 2.4.1 Cylindrical boiler development -- 2.4.2 Development in water tube boiler. 2.4.3 Once-through boiler -- 2.4.4 Summary of boiler development -- 2.5 Historical development of power generation boilers in Japan -- 2.6 Similarity law in boiler furnace and other various important issues -- References -- 3 General planning of thermal power plant -- Chapter Outline -- 3.1 Overview of steam power plant -- 3.2 Concept of general planning and factors to be considered -- 3.3 Principal concept for high-performance plant -- 3.3.1 Site location -- 3.3.2 Fuel -- 3.3.3 Type of boiler -- 3.3.4 Unit capacity -- 3.3.5 Steam condition -- 3.4 Reheat cycle and regenerative cycle -- 3.4.1 Steam pressure -- 3.4.2 Steam temperature -- 3.4.3 Condenser vacuum -- 3.4.4 Regenerative cycle -- 3.4.5 Reheat cycle -- 3.4.6 Example of heat balance -- 3.4.7 Feedwater temperature -- 3.5 Enthalpy-pressure diagram along steam generating tube -- 3.6 Legal regulations in Japan -- References -- 4 Power boiler design -- Chapter Outline -- 4.1 Heat transfer in boiler -- 4.1.1 Radiation -- 4.1.2 Conduction -- 4.1.3 Convection -- 4.1.4 Heat transfer in boiler -- 4.1.4.1 Furnace -- 4.1.4.2 Computational fluid dynamics -- 4.1.4.3 Heat transfer for heating surface (superheater, reheater, economizer) in the flue gas pass -- 4.2 Boiler gas side performance for furnace design -- 4.2.1 Principles of boiler furnace design -- 4.2.1.1 Required space for complete combustion: H2-H4 -- 4.2.1.2 Control ash adhesion to furnace wall: FD×FW, H4 -- 4.2.2 Boiler components -- 4.2.2.1 Furnace wall, passage sidewall, and 2ry pass wall tubes and roof tubes -- 4.2.2.1.1 Structure -- 4.2.2.1.2 Fluid circuits -- 4.2.2.1.3 Water separator and water separator drain tank -- 4.2.2.2 Superheaters -- 4.2.2.2.1 Primary superheater -- 4.2.2.2.2 Secondary superheater -- 4.2.2.2.3 Tertiary superheater -- 4.2.2.3 Reheaters -- 4.2.2.3.1 Primary reheater -- 4.2.2.3.2 Secondary reheater. 4.2.2.4 Material for final superheater, main steam pipe, final reheater, hot reheat pipe -- 4.2.2.5 Desuperheaters -- 4.2.2.6 Economizer -- 4.2.2.7 Boiler supports -- 4.2.2.8 Casing and insulation -- 4.2.3 Membrane wall -- 4.2.4 Pulverized coal combustion -- 4.2.4.1 Combustion -- 4.2.4.2 Firing system -- 4.2.4.2.1 Circular corner firing system -- 4.2.4.2.2 Wall firing -- 4.2.4.3 Pulverizer performance -- 4.2.4.4 Slagging and fouling -- 4.2.4.4.1 Slagging -- 4.2.4.4.2 Fouling -- 4.2.4.4.3 Coal ash characterization -- 4.2.4.5 Corrosion and erosion -- 4.2.4.5.1 Corrosion -- 4.2.4.5.2 Erosion -- 4.2.5 Fluidized bed combustion -- 4.2.5.1 Principle of fluidized bed combustion -- 4.2.5.2 Bubbling fluidized bed boiler -- 4.2.5.3 Circulating fluidized-bed boiler -- 4.2.6 Stoker combustion -- 4.2.6.1 History of stoker combustion -- 4.2.6.2 Characteristics of waste as a fuel -- 4.2.6.3 Basic configuration of stoker-type incinerators and the waste combustion process -- 4.2.6.4 Stoker-type combustion incineration configuration -- 4.2.6.4.1 Waste feeder -- 4.2.6.4.2 Stoker -- 4.2.6.4.3 Incinerator types -- 4.2.6.4.4 Measures for increased durability -- 4.2.6.5 Combustion control technology for stoker-type combustion incinerators -- 4.2.6.6 Recent stoker combustion technology -- 4.2.7 DeNOx, deSOx process, gas cleaning -- 4.2.7.1 NOx reduction (selective catalytic reduction) -- 4.2.7.1.1 History and basic technique -- 4.2.7.1.2 Technology lineup -- 4.2.7.1.2.1 Examples of selective catalytic reduction system application -- 4.2.7.1.2.2 High-performance/low-SO2 oxidation catalyst -- 4.2.7.1.2.3 Mercury oxidation catalyst -- 4.2.7.1.2.4 Recycling of catalyst -- 4.2.7.1.2.5 High-performance catalyst in case of high NO2 ratio -- 4.2.7.1.2.6 High-temperature selective catalytic reduction catalyst -- 4.2.7.1.2.7 Low-SO2 oxidation catalyst for low-quality solid fuel. 4.2.7.2 SOx reduction (wet flue gas desulfurization) -- 4.2.7.2.1 History and basic technique -- 4.2.7.2.2 Technology lineup -- 4.2.7.2.2.1 Limestone-gypsum wet desulfurization equipment for bituminous/subbituminous coal-fired boilers -- 4.2.7.2.2.2 Limestone-gypsum wet desulfurization equipment for lignite-fired boilers -- 4.2.7.2.2.3 Limestone-gypsum wet desulfurization equipment for heavy oil-fired boilers -- 4.2.7.2.2.4 Seawater desulfurization equipment -- 4.2.7.3 PM reduction (electrostatic precipitator) -- 4.2.7.3.1 History and basic technique -- 4.2.7.3.2 Technology lineup -- 4.2.7.3.2.1 Dry-type electrostatic precipitator -- 4.2.7.3.2.2 Moving electrode electrostatic precipitator -- 4.2.7.3.2.3 Wet-type electrostatic precipitator -- 4.3 Water circulation design -- 4.3.1 Water circulation system principle -- 4.3.2 Submerged cylindrical type -- 4.3.3 Water tube type -- 4.3.3.1 Cooling principle in water tube -- 4.3.3.1.1 Heat flux consideration -- 4.3.3.1.2 Heat transfer consideration -- 4.3.3.1.3 Hydrodynamic consideration -- 4.3.3.2 Stability of mass velocity against heat absorption deviation -- 4.3.3.2.1 Natural circulation characteristic -- 4.3.3.2.2 Forced circulation characteristic -- 4.3.4 Steam drum -- 4.3.4.1 Reasons for better separation performance -- 4.3.4.2 Separation principles -- 4.3.4.2.1 Suppression of water carryover to steam -- 4.3.4.2.2 Suppress steam carryunder to water -- 4.3.5 Once-through boiler -- 4.3.5.1 Subcritical pressure once-through boiler -- 4.3.5.2 Supercritical pressure once-through boiler -- 4.3.5.2.1 Heat transfer consideration -- 4.3.5.2.2 Hydrodynamic consideration -- 4.3.6 Supercritical sliding pressure operation once-through boiler -- 4.3.6.1 Merit and effectiveness of supercritical sliding pressure operation -- 4.3.6.2 Heat transfer and hydrodynamic consideration -- 4.3.6.2.1 Heat transfer consideration. 4.3.6.2.2 Hydrodynamic consideration -- 4.3.6.2.2.1 Pressure drop in single-phase flow region -- 4.3.6.2.2.2 Pressure drop in two-phase flow region -- 4.3.6.2.3 Other aspects to be considered -- 4.3.6.2.3.1 Inclined tube critical heat flux -- 4.3.6.2.3.2 Hydrodynamic behavior in downward flow of stem-water mixture -- 4.3.6.3 Flow stability -- 4.4 Deposition, erosion and corrosion, and water treatment -- 4.4.1 Importance of water quality control in thermal power plants -- 4.4.2 History of water treatment methods for thermal power plants -- 4.4.3 New technologies regarding water treatment for thermal power plants -- 4.4.3.1 Measures against flow-accelerated corrosion -- 4.4.3.2 Measures against powdered-scale deposition in oxygenated treatment operation in once-through boiler -- 4.4.4 Remarks -- References -- 5 Construction, operation, and control of power boiler -- Chapter outline -- 5.1 Construction of coal-fired boiler -- 5.1.1 Introduction -- 5.1.2 Advanced construction method/simultaneous construction method -- 5.1.3 Floor block erection method/floor unit construction method -- 5.1.4 Hyper core structure construction method -- 5.1.5 Top girder and pressure parts integrated block jack-up method -- 5.1.6 Module construction method -- 5.1.6.1 Coil module for boiler pressure parts method -- 5.1.6.2 Boiler split module method -- 5.1.6.3 Zone module construction method -- 5.1.6.3.1 Side, front, and rear zone -- 5.1.6.3.2 Mill zone -- 5.1.6.3.3 Bunker zone -- 5.1.6.3.4 Eco hopper zone -- 5.1.6.3.5 Selective catalytic reduction and air heater zone -- 5.1.6.3.6 Furnace upper zone -- 5.1.6.3.7 Furnace lower zone -- 5.1.6.3.8 Secondary pass zone -- 5.2 Operation and control of power boiler -- 5.2.1 Dynamic behavior of power boiler and control system -- 5.2.1.1 Dynamic characteristics of drum boiler -- 5.2.1.1.1 Step increase in fuel flow rate. 5.2.1.1.2 Step increase in feedwater flow rate. EBL202104 XX SzGeCERN BOOK Asano, Hitoshi https://cds.cern.ch/auth.py?r=EBLIB_P_6465721 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2763051 BOOK MIGRATED 2763041 SzGeCERN 20210421183841.0 9781119711056 electronic version electronic version 9781119711049 print version oai:cds.cern.ch:2763041 cerncds:BOOK EBL 6458059 eng QA76.9.B56 .B563 2021 005.740285 Tyagi, S S Blockchain for business how it works and creates value Newark, NJ John Wiley & Sons 2021 400 p ebook Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 Introduction to Blockchain -- 1.1 Introduction -- 1.1.1 Public Blockchain Architecture -- 1.1.2 Private Blockchain Architecture -- 1.1.3 Consortium Blockchain Architecture -- 1.2 The Privacy Challenges of Blockchain -- 1.3 De-Anonymization -- 1.3.1 Analysis of Network -- 1.3.2 Transaction Fingerprinting -- 1.3.3 DoS Attacks -- 1.3.4 Sybil Attacks -- 1.4 Transaction Pattern Exposure -- 1.4.1 Transaction Graph Analysis -- 1.4.2 AS-Level Deployment Analysis -- 1.5 Methodology: Identity Privacy Preservation -- 1.5.1 Mixing Services -- 1.5.2 Ring Signature -- 1.6 Decentralization Challenges Exist in Blockchain -- 1.7 Conclusion -- 1.8 Regulatory Challenges -- 1.9 Obstacles to Blockchain Regulation -- 1.10 The Current Regulatory Landscape -- 1.11 The Future of Blockchain Regulation -- 1.12 Business Model Challenges -- 1.12.1 Traditional Business Models -- 1.12.2 Manufacturer -- 1.12.3 Distributor -- 1.12.4 Retailer -- 1.12.5 Franchise -- 1.13 Utility Token Model -- 1.13.1 Right -- 1.13.2 Value Exchange -- 1.13.3 Toll -- 1.13.4 Function -- 1.13.5 Currency -- 1.13.6 Earning -- 1.14 Blockchain as a Service -- 1.15 Securities -- 1.16 Development Platforms -- 1.17 Scandals and Public Perceptions -- 1.17.1 Privacy Limitations -- 1.17.2 Lack of Regulations and Governance -- 1.17.3 Cost to Set Up -- 1.17.4 Huge Consumption of Energy -- 1.17.5 Public Perception -- References -- 2 The Scope for Blockchain Ecosystem -- 2.1 Introduction -- 2.2 Blockchain as Game Changer for Environment -- 2.3 Blockchain in Business Ecosystem -- 2.3.1 Business Ecosystem -- 2.3.2 Are Blockchain Business Models Really Needed? -- 2.4 Is Blockchain Business Ecosystem Profitable? -- 2.5 How Do You "Design" a Business Ecosystem? -- 2.6 Redesigning Future With Blockchain. 2.6.1 Is Earth Prepared for Blockchain? -- 2.7 Challenges and Opportunities -- References -- 3 Business Use Cases of Blockchain Technology -- 3.1 Introduction to Cryptocurrency -- 3.2 What is a Bitcoin? -- 3.2.1 Bitcoin Transactions and Their Processing -- 3.2.2 Double Spending Problem -- 3.2.3 Bitcoin Mining -- 3.3 Bitcoin ICO -- 3.3.1 ICO Token -- 3.3.2 How to Participate in ICO -- 3.3.3 Types of Tokens -- 3.4 Advantages and Disadvantages of ICO -- 3.5 Merchant Acceptance of Bitcoin -- References -- 4 Ethereum -- 4.1 Introduction -- 4.2 Basic Features of Ethereum -- 4.3 Difference between Bitcoin and Ethereum -- 4.4 EVM (Ethereum Virtual Machine) -- 4.5 Gas -- 4.5.1 Gas Price Chart -- 4.6 Applications Built on the Basis of Ethereum -- 4.7 ETH -- 4.7.1 Why Users Want to Buy ETH? -- 4.7.2 How to Buy ETH? -- 4.7.3 Alternate Way to Buy ETH -- 4.7.4 Conversion of ETH to US Dollar -- 4.8 Smart Contracts -- 4.8.1 Government -- 4.8.2 Management -- 4.8.3 Benefits of Smart Contracts -- 4.8.4 Problems With Smart Contracts -- 4.8.5 Solution to Overcome This Problem -- 4.8.6 Languages to Build Smart Contracts -- 4.9 DApp (Decentralized Application or Smart Contract) -- 4.9.1 DApp in Ethereum -- 4.9.2 Applications of DApps -- 4.10 Conclusion -- References -- 5 E-Wallet -- 5.1 Introduction to Wallet Technology -- 5.2 Types of Wallet -- 5.2.1 Paper -- 5.2.2 Physical Bitcoins -- 5.2.3 Mobile -- 5.2.4 Web -- 5.2.5 Desktop -- 5.2.6 Hardware -- 5.2.7 Bank -- 5.3 Security of Bitcoin Wallets -- 5.4 Workings of Wallet Technology -- 5.5 Create HD Wallet From Seed -- 5.5.1 Initiation -- 5.5.2 Steps for Creating an HD Wallet From a 24-Word Seed Phrase Through Particl-qt Tool -- 5.5.3 Steps for Encrypting the HD Wallet -- 5.5.4 Utilization -- 5.5.5 Steps for Generating Address to Access Transactions on the HD Wallet -- 5.6 Navigating HD Wallet -- 5.7 Conclusion -- References. 6 Blockchain and Governance: Theory, Applications and Challenges -- 6.1 Introduction -- 6.2 Governance: Centralized vs Decentralized -- 6.3 Blockchain's Features Supportive of Decentralization -- 6.4 Noteworthy Application Areas for BlockchainBased Governance -- 6.4.1 Public Service Governance -- 6.4.2 Knowledge and Shared Governance -- 6.4.3 Governance in Supply Chain -- 6.4.4 Governance of Foreign Aid -- 6.4.5 Environmental Governance -- 6.4.6 Corporate Governance -- 6.4.7 Economic Governance -- 6.5 Scopes and Challenges -- 6.6 Conclusion -- References -- 7 Blockchain-Based Identity Management -- 7.1 Introduction -- 7.2 Existing Identity Management Systems and Their Challenges -- 7.3 Concept of Decentralized Identifiers -- 7.4 The Workflow of Blockchain Identity Management Systems -- 7.5 How Does it Contribute to Data Security? -- 7.6 Trending Blockchain Identity Management Projects -- 7.7 Why and How of Revocation -- 7.8 Points to Ponder -- 7.8.1 Comparison Between Traditional and Blockchain-Based Identity Management Systems -- 7.9 Conclusion -- References -- 8 Blockchain &amp -- IoT: A Paradigm Shift for Supply Chain Management -- 8.1 Introduction -- 8.2 Supply Chain Management -- 8.2.1 The Aspects of a Supply Chain -- 8.2.2 Supply Chain Performance Dimensions -- 8.2.3 Supply Chain Migration Towards Digitalization -- 8.3 Blockchain and IoT -- 8.3.1 What Makes Blockchain Suitable for SCM? -- 8.3.2 The Role of Blockchain in Achieving the SCM Performance Dimensions -- 8.3.3 The Role of IoT in the Implementation of Blockchain Technology -- 8.4 Blockchain Technology and IoT Use Cases in Supply Chain Management -- 8.5 Benefits and Challenges in Blockchain-Based Supply Chain Management -- 8.6 Conclusion -- References -- 9 Blockchain-Enabled Supply Chain Management System -- 9.1 Introduction -- 9.1.1 Supply Chain Management -- 9.2 Blockchain Technology. 9.3 Blockchain Technology in Supply Chain Management -- 9.4 Elements of Blockchain That Affects Supply Chain -- 9.4.1 Bitcoin -- 9.5 Challenges in Implementation of BlockchainEnabled Supply Chain -- 9.6 Conclusion -- References -- 10 Security Concerns of Blockchain -- 10.1 Introduction: Security Concerns of Blockchain -- 10.2 Cryptocurrencies Scenarios -- 10.3 Privacy Challenges of Blockchain -- 10.3.1 Protection Problems in Blockchain -- 10.3.2 Privacy-Preserving Mechanisms Analysis -- 10.3.3 Data Anonymization-Mixing -- 10.4 Decentralization in Blockchain -- 10.4.1 Role of Decentralization in Blockchain -- 10.4.2 Analysis of PoS and DPoS -- 10.4.3 Problems With Decentralization -- 10.4.4 Decentralization Recovery Methods -- 10.5 Legal and Regulatory Issues in Blockchain -- 10.5.1 Legal Value of Blockchain and its Problems -- 10.6 Smart Contracts -- 10.7 Scandals of Blockchain -- 10.7.1 Blockchain Technologies as Stumbling Blocks to Financial Legitimacy -- 10.8 Is Blockchain the Rise of Trustless Trust? -- 10.8.1 Why Do We Need a System of Trust? -- 10.9 Blockchain Model Challenges -- References -- 11 Acceptance and Adoption of Blockchain Technology: An Examination of the Security &amp -- Privacy Challenges -- 11.1 Introduction -- 11.1.1 Research Methodology -- 11.1.2 Analysis -- 11.2 Security Issues of Blockchain -- 11.2.1 The Majority Attack (51% Attacks) -- 11.2.2 The Fork Problems -- 11.2.3 Scale of Blockchain -- 11.2.4 Time Confirmation of Blockchain Data-Double-Spend Attack/Race Attack -- 11.2.5 Current Regulations Problems -- 11.2.6 Scalability and Storage Capacity -- 11.2.7 DOS Attack/Sybil Attack/Eclipse Attack/Bugs -- 11.2.8 Legal Issues -- 11.2.9 Security of Wallets -- 11.2.10 The Increased Computing Power -- 11.3 Privacy Challenges of Bitcoin -- 11.3.1 De-Anonymization -- 11.3.2 Transaction Pattern Exposure. 11.4 Blockchain Application-Based Solutions -- 11.4.1 Bitcoins -- 11.4.2 IoT -- 11.4.3 Aero Token -- 11.4.4 The Chain of Things -- 11.4.5 The Modum -- 11.4.6 Twin of Things -- 11.4.7 The Blockchain of Things -- 11.4.8 Blockchain Solutions: Cloud Computing -- 11.5 Conclusion and Future Work -- References -- 12 Deficiencies in Blockchain Technology and Potential Augmentation in Cyber Security -- 12.1 Introduction -- 12.2 Security Issues in Blockchain Technology -- 12.3 Privacy Challenges -- 12.3.1 BGP Hijacking Attack -- 12.3.2 BDoS (Blockchain Denial of Service) -- 12.3.3 Forcing Other Miners to Stop Mining -- 12.4 Decentralization Challenges -- 12.5 Regulatory Challenges -- 12.5.1 Principles to Follow While Regulating -- 12.5.2 Regulatory Strategies -- 12.6 Business Model Challenges -- 12.7 Scandals and Public Perception -- 12.8 Why Blockchain is Trustless -- 12.8.1 Trust Mechanism -- 12.8.2 Anonymity -- 12.8.3 Use in Digital Wallets -- 12.8.4 Forgery Resistance -- 12.9 Use of Blockchain in Cybersecurity -- 12.9.1 Blockchain Database -- 12.9.2 DNS Security -- 12.9.3 IoT Security -- 12.9.4 DDoS Prevention -- 12.9.5 CDN (Content Delivery Network) -- 12.9.6 SMS Authentication -- References -- 13 Internet of Things and Blockchain -- 13.1 History of 'Internet of Things' -- 13.2 IoT Devices -- 13.3 Sensors and Actuators -- 13.4 Cloud and Haze-Based Engineering -- 13.5 Blockchain and IoT -- 13.6 Edge Computing -- 13.7 Contextual Analyses -- 13.8 Fate of Blockchain and IoT -- References -- 14 Blockchain Applications -- 14.1 Introduction to Blockchain -- 14.1.1 Uses of Blockchain in Administration -- 14.2 Blockchain in Big Data Predictive Task Automation -- 14.2.1 How Can Blockchain Help Big Data? -- 14.2.2 Blockchain Use Cases in Big Data -- 14.3 Digital Identity Verification -- 14.3.1 Why Digital Identity Matters?. 14.3.2 Blockchain (Definition and its Features). EBL202104 XX SzGeCERN EBL Blockchains (Databases) BOOK Bhatia, Shaveta https://cds.cern.ch/auth.py?r=EBLIB_P_6458059 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2763041 BOOK MIGRATED 2762980 SzGeCERN 20210421183843.0 9783540479611 electronic version electronic version 9783540437383 print version oai:cds.cern.ch:2762980 cerncds:BOOK EBL 6414131 eng QA76.9.D35 .A383 2002 005.73 Banks Pidduck, Anne Advanced information systems engineering 14th international conference, CAISE 2002 Toronto, Canada, May 27-31, 2002 proceedings Berlin Springer 2002 815 p ebook Lecture notes in computer science 2348 Intro -- Advanced Information Systems Engineering -- Preface -- Organization -- Table of Contents -- The Grand Challenge in Information Technology and the Illusion of Validity -- Abstract -- Metadata and Cooperative Knowledge Management -- Abstract -- Ontology-Driven Conceptual Modeling -- Abstract -- Metadata and Cooperative Knowledge Management -- Conceptual Modeling and Meta Modeling -- The Culture Gap in Information Systems Engineering -- Perspectives on Cooperative Knowledge Management -- Cultural Science: Knowledge Management as Media-Enabled Discourse -- Business View: Knowledge as Information in a Context of Action -- Engineering View: Knowledge is Defined by What Is Different or Wrong -- Implications for Knowledge Modeling and Management -- Acknowledgements -- References -- Web Component: A Substrate for Web Service Reuse and Composition -- Introduction -- Service Composition: Technical Challenges -- A Framework for Service Composition -- Composition Logic -- Creation of Web Components -- Basic Constructs for Service Composition -- The Web Component Class Library -- Web Component Specification in XML -- Service Composition Planning and Composition Execution Languages -- Service Composition: A Complete Picture -- Related Work -- Conclusion -- References -- Designing Web-Based Systems in Social Context: A Goal and Scenario Based Approach -- Introduction -- Modelling Notations -- GRL -- UCM -- A Design Methodology Based on Goal and Scenario Modelling -- Case Study: Designing a Web-Based Training System -- Related Work -- Conclusions and Future Work -- Acknowledgements -- References -- A State Machine Based Approach for a Process Driven Development of Web-Applications -- Introduction -- Related Works -- Flexflow Overview -- The Flexflow Process Model -- Actions -- States -- Transitions -- Events -- Guards -- Context. User Interaction with FlexFlow -- Process Reflection -- Visual Modeling &amp -- Simulation -- Process Simulation -- Conclusion &amp -- Future Work -- References -- Supporting Dimension Updates in an OLAP Server -- Introduction -- Discussion and Summary -- Multidimensional Model and Dimension Updates -- Dimension Updates and View Maintenance -- Mapping Dimensions to Relations -- Implementation of Dimension Updates -- TSOLAP Architecture -- Adding Dimension Update Support to MDX -- Using TSOLAP -- A Case Study: A Medical Data Warehouse -- The Problem -- What Can We Do with Dimension Updates? -- Objectives and Description of the Experiments -- Experimental Results -- Discussion and Summary -- Acknowledgements -- References -- The COMET Metamodel for Temporal Data Warehouses -- Introduction and Motivation -- Related Work. -- Outline. -- Temporal Multidimensional Systems -- The COMET Model -- Goals and Features -- Elements of the COMET Model -- Integrity Constraints -- Stable Intervals -- Implementation -- Conclusions -- References -- Exploring RDF for Expertise Matching within an Organizational Memory -- Introduction -- Analysis of the Problem -- Approaches to Solving the Heterogeneous Problems -- Experiment and Rationale -- User Study -- The Proposed Architecture of Our Brokering System -- Brief Implementation Details -- Data Validation -- System Walk through and Key Results -- Conclusion and Directions of Future Work -- Acknowledgements -- References -- Describing and Communicating Software Architecture in Practice: Observations on Stakeholders and Rationale -- Introduction -- Research Process -- Stakeholders of Architecture Design and Description -- Stakeholder Roles in Three Organizations -- Alfa -- Beta -- Gamma -- Key Stakeholder Roles and Their Rationale for Architecture Description -- Similarities and Differences among the Role Occurrences. Implicit Relationships of Architecture, Viewpoints, Stakeholders, and Rationale -- Implications -- Implications for Practice -- Implications for Research -- Conclusions -- References -- The Individual Deployment of Systems Development Methodologies -- Introduction -- Conceptual Research Model and Research Hypotheses -- Theoretical Background -- The Innovation: SDM -- Innovation Diffusion Process -- Individual Characteristics -- Task Characteristics -- Organisational Characteristics -- Environmental Characteristics -- Research Design -- The Survey -- Measurement -- Measurement of Dependent Variable: Deployment -- Measurement of Independent Variables -- Data Analysis -- Results -- Discussion and Final Comments -- Implications for Theory -- Practical Implications -- References -- Supporting the Deployment of Object-Oriented Frameworks -- Introduction -- Related Concepts of OO Frameworks -- Problems Faced by Framework Users -- Common Types of Questions on Frameworks -- Underlying Causes -- The Framework Constraints Language -- FCL -- An Example: Structural Constraints for the Observer Pattern -- Behavioral Constraints -- Using Promela to Model The Observer Pattern -- Conclusions and Further Work -- Acknowledgements -- References -- Appendix: FCL Grammar -- A Conceptual Modeling Approach to Semantic Document Retrieval -- Introduction -- Cooperative Document Management -- The Use of Conceptual Modeling -- The Example of Company N -- The Approach -- Overall Description -- System Architecture -- Linguistic Dependencies -- System Walkthrough -- Classification -- Retrieval -- Related Work -- Concluding Remarks -- Acknowledgements -- References -- Multidimensional Semistructured Data: Representing Context-Dependent Information on the Web -- Introduction and Motivation -- A Formalism for Contexts -- Supporting Contexts in SSD -- Multidimensional OEM. MSSD-Expressions -- Properties of Multidimensional Data Graphs -- Querying Multidimensional Data Graphs -- Using MOEM to Represent Changes -- Basic Concepts -- Modeling OEM Histories with MOEM -- Conclusions -- Acknowledgements -- References -- The Role of Semantic Relevance in Dynamic User Community Management and the Formulation of Recommendations -- Introduction -- Comparing Content-Based and Collaborative Filtering -- User Classification and Recommendations -- Characterizing User Interests: User Profiles -- Automatic Profile Maintenance -- Description of the Algorithm -- Algorithm's Requirements -- Algorithm's Operational Procedure -- User Comparison and Relevance -- Algorithm's Complexity -- Experimental Results -- Conclusions and Further Research -- References -- Can We Ever Build Survivable Systems from COTS Components? -- Introduction -- Survivability and COTS Components -- COTS vs. Custom Design --- A Binary Choice, or a Spectrum of Choices? -- The V-RATE (Vendor Risk Assessment &amp -- Threat Evaluation) Method -- The V-RATE Taxonomy -- Specific Vendor Risk Reduction Techniques -- Example of V-RATE Taxonomy Section 1.4, Compliance. -- Example of V-RATE Taxonomy Section 1.7, Controlled Evolution. -- A V-RATE Example -- How V-RATE Relates to the Common Criteria -- Summary and Future Work -- Acknowledgment -- References -- Towards a Data Model for Quality Management Web Services: An Ontology of Measurement for Enterprise Modeling -- Introduction -- Methodology -- Measurement Ontology -- Motivating Scenario -- Informal Competency Questions -- Terminology &amp -- Formal Competency Questions -- Formal Competency Questions -- Axioms -- Quality Management Analysis -- Conclusion -- References -- A Modelling Approach to the Realisation of Modular Information Spaces -- Introduction -- Requirements -- Information Model and Metamodel. Database Connectivity -- Storage Model -- User Model and the Model in its Entirety -- Conclusions -- References -- Data Integration under Integrity Constraints -- Introduction -- Framework for Data Integration -- Query Answering in the Presence of Constraints -- General Description of the Approach -- Query Reformulation -- Conclusions -- References -- Babel: An XML-Based Application Integration Framework -- Motivation and Background -- The Babel Architecture -- Application Wrapping -- Coordination Logic -- Even-Condition-Action Rules -- Workflow Sessions -- 3 VXG: The Babel Design-Time Environment -- The Babel Run-Time Environment -- Processing Task-Execution Events -- Application-Wrapper Processing -- Implementation Overview and Performance Evaluation -- Efficiency -- Scalability -- Robustness -- Conclusions and Further Work -- References -- Integrating and Rapid-Prototyping UML Structural and Behavioural Diagrams Using Rewriting Logic -- Introduction -- UML Diagrams through a Simplified Example -- Integration of OCL Descriptions into Class-Diagrams -- Enrichment of Class-Diagrams by Variables and Scopes -- Introducing New Notations for Behavioural Aspects -- Interpretation of the Proposed Integration in the Extended Maude -- Translating Extended Class-Diagrams into Maude -- Conclusions -- References -- Verification of Payment Protocols via MultiAgent Model Checking -- Introduction -- The Lu-Smolka Variant of the SET Protocol -- MATL as a Logic of Authentication -- MATL as a Logic for Payment Protocols -- Specifications for Payment Protocol -- Verification of the Lu and Smolka Protocol -- Conclusions -- Acknowledgments -- References -- SNet: A Modeling and Simulation Environment for Agent Networks Based on i* and ConGolog -- Introduction -- Representing Social Networks in Extended i* -- The i* Modeling Language -- Enriching Task Description. Static Analysis in ConceptBase. EBL202104 XX SzGeCERN BOOK Mylopoulos, John Woo, Carson C Ozsu, M T https://cds.cern.ch/auth.py?r=EBLIB_P_6414131 ebook n 202114 21 PUBLIC https://catalogue.library.cern/legacy/2762980 BOOK MIGRATED 2762974 SzGeCERN 20210421183843.0 9783540776000 electronic version electronic version 9783540775997 print version oai:cds.cern.ch:2762974 cerncds:BOOK EBL 6414046 eng QA76.9.C65 .P375 2007 003/.3 Park, Jin-Woo ASIASIM 2007 Asia simulation conference 2007, Seoul, Korea, October 10-12, 2007, proceedings Berlin Springer 2008 416 p ebook Communications in computer and information science 5 Intro -- Title Page -- Preface -- Organization -- Table of Contents -- Event Graph Models for Generic Manufacturing Systems with Push and Pull Policies -- Introduction -- Methodology -- Development of Simulation Models -- The Conceptual Model -- JIT Simulation Model -- MRP Simulation Model -- Experiment Design -- Experimental Factors -- Cases in Simulation Experiments -- Analysis and Results -- Determining Values of Input Factors -- Analyzing Steady State Throughput -- Evaluating Performance Measures -- Summary and Conclusion -- References -- A Model and Analysis of the Bullwhip Effect Using a SCOR-Based Framework -- Introduction -- Literature Review -- The Causes of the Bullwhip Effect -- Metrics and Measur.ement in Supply Chain Performance -- SCOR-Based Framework for Supply Chain Simulation -- Structures and Processes of the Supply Chain -- Environmental and Operational Parameters and Performance Measures -- Simulation Modeling and Experiments -- Setting Parameters -- Simulation Modeling Using System Dynamics and Results -- Conclusions -- References -- Dynamic Control of a Simulator Servo System Using CMAC Controller RBF Identifier-Based -- Introduction -- Description of the Plant -- Controller Design -- RBF Identifier -- Single Neuron Controller -- CMAC Controller -- Study by Simulation -- Conclusion -- References -- A Strict LMI Condition for ESPR Property of Continuous-Time Descriptor Systems -- Introduction -- Preliminaries -- Main Results -- Numerical Example -- Conclusion -- References -- Design of Fuzzy Sliding-Mode Controller for Chaos Synchronization -- Introduction -- System Description and Problem Formulation -- Fuzzy Controller for Design Methodology -- Sliding-Mode Control -- Fuzzy Controller Designs -- Numerical Example -- Conclusions -- References -- Simulation-Based Procedure for Bottleneck Identification -- Introduction. The Proposed Procedure -- How to Identified Real Bottleneck? -- Illustrative Example -- Case 1: Single Bottleneck -- Case 2: Multiple Bottleneck -- Summary -- Reference -- Self-adaptive Fault-Tolerance of HLA-Based Simulations in the Grid Environment -- Introduction -- The Characteristics of Federates Accessing Model Services in the Grid Environment -- The Self-adaptive Model Service -- The Self-adaptive Ability of Simulations -- The Self-adaptive Simulation Process -- The Added Interfaces for a Self-adaptive Simulation -- Experimental Results of the Self-adaptive Simulation -- Conclusions -- Constant-Time Record Management in a Java Embedded Small Device -- Introduction -- MIDP Record Management System (RMS) -- Previous Approach -- Constant Time Operations -- Delete a Reczord with an Index -- Reuse of Marked Records -- Conclusions -- References -- Crisis Management Simulation: Spread of Diseases in National University of Singapore -- Introduction -- Background and Related Work -- Definition of Epidemiology, Basic Reproductive Ratio, etc -- Epidemic Models -- The NUS Epidemic Model -- Agents and Their World -- Model Assumptions -- Implementation -- Graphical User Interface -- Initialization -- Experiments and Results -- Discussion -- Conclusion -- References -- An Early Warning System for Loan Risk Assessment Based on Rare Event Simulation -- Introduction -- Cross-Entropy Methods -- Structure of the Commercial Bank Loan Risk Early Warning System -- Experiment Results -- Conclusion -- References -- Forecasting Model for IPTV Service in Korea Using Bootstrap Ridge Regression Analysis -- Introduction -- Forecasting Potential IPTV Market -- Forecasting Method for Potential IPTV Broadcasting Market -- Ridge Regression Analysis with Bootstrap Method -- Designing Scenarios -- Forecasting Results -- Discussion and Conclusion -- References. Simulation and Evaluation on the Performance of the Proposed Constellation of Global Navigation Satellite System -- Introduction -- Performance Measures for GNSS -- Simulations Scenarios -- Constellation Design -- Observation Scenarios -- Simulations Results -- Continuous Coverage -- Constellation Availability -- Navigation Accuracy -- Conclusions -- References -- Re-entry Tracking Control Via State-Dependent Riccati Equations -- Introduction -- The SDRE Method -- Longitudinal Tracking Control Design -- Simulation Result and Analysis -- Conclusions -- References -- A Data Envelopment Analysis Model for Selecting Material Handling System Designs -- Introduction -- Literature Review -- Simulation Outputs Analysis of Material Handling Systems -- Original DEA Models -- DEA Models with Imprecise Data -- Automated-Guided Vehicle Material Handling System with Deadlock-Free Control -- DEA-SBM Model with Imprecise Data -- Imprecise-CCR (Dual Model) -- Interval-SBM Model -- Dual Model of Imprecise-SBM Model -- The Simulation Output Analysis -- Conclusions -- References -- Synchronization between Two Different Hyperchaotic Systems Containing Nonlinear Inputs -- Introduction -- System Description and Problem Formulation -- Sliding Mode Control Law with Input Nonlinearity -- Numerical Simulations -- Conclusions -- References -- Adaptive Chaos Synchronization of FitzHugh-Nagumo Neurons -- Introduction -- Problem Formulation and ASMC Design -- Numerical Example -- Conclusions -- References -- Robust and Cost-Efficient Communication Based on SNMP in Mobile Networks -- Introduction -- Related Works -- Mobile Network -- Hierarchical MIPv6 -- SNMP Information Routing Mechanism -- Keyrout Procedure (Routing procedure by Keyword) -- Keyrout Procedure (Routing procedure by Keyword) -- Communication Based on SNMP -- Movement to Adjacent AR. Movement to Adjacent MR within same AR -- Evaluation and Analysis -- Simulation Scenario -- Throughput -- Traffic Analysis -- Conclusion -- References -- Stability of Backward Differential Formulae for Second Order Delay Differential Equations -- Introduction -- Properties of Exact Solutions -- Stability of BDF Methods -- Numerical Experiments -- Elastic Wave Propagation Simulation Using TLM Modeling -- Introduction -- Equations of Elastic Waves -- TLM Modeling -- Simulations -- Normal Incidence -- Oblique Incidence -- Theoretical Solution -- Conclusion -- References -- Research and Realization of Simulation Visualization Supporting Service -- Introduction -- Research on Web-Based Visualization Environment Architecture -- Assembling and Driving Visualization Models Based on X3D -- Building and Browsing X3D-Format Visualization Models -- Visualization Scene Assembly Based on X3D -- Driving Visualization Models Based on X3D SAI -- Realization of Simulation Visualization Service Based on Web/Grid Technologies -- Web-Based Model Browsing and Assembling -- Web-Based Model Driving and Display -- Conclusion -- References -- Research on Simulation Application Mode and Run-Time Framework in Simulation Grid -- Introduction -- Simulation Grid -- Simulation Application Mode in Simulation Grid -- Traditional Simulation Application Mode -- Simulation Application Mode in Simulation Grid -- Characters of the New Simulation Application Mode -- Simulation Grid Run-Time Framework -- Components of SimGrid Run-Time Framework -- Relationship among Components of SimGrid Run-Time Framework -- Features of SimGrid Run-Time Framework -- Conclusion -- References -- Web-HLA and Service-Enabled RTI in the Simulation Grid -- Introduction -- Web-Enabled HLA Using the SO Method -- Introducing the SO Method into Rules of HLA -- Introducing the SO Method into the OMT. The SO Architecture of HLA-Based Simulations -- The Realization of the SE-RTI -- Data Dispatching of the SE-RTI -- Time Management of the SE-RTI -- The Performance Analysis of the SE-RTI -- Conclusions -- Encryption in TECB Mode: Modeling, Simulation and Synthesis -- Introduction -- Triple DES Algorithm -- Design Flow of 3DES Single Core Module -- Simulations and Synthesis -- Functional Simulation -- Synthesis and Optimization -- Timing Simulation -- Synthesis Results -- Timing and Area Analysis -- Conclusions -- References -- Finite Element Simulation of a Biomimetic Olfactory Microsystem for Spatio-temporal Signal Generation -- Introduction -- Spatio-temporal Geometry -- Mathematical Model and Properties -- Simulation Parameters and Results -- Conclusion -- References -- Simulation Study of Port Container Terminal Quay Side Traffic -- Introduction -- Objectives -- Terminal Operation -- Simulation Model -- Data Collection -- Physical Layout -- Control Logics -- Model Verification and Validation -- Experiments Setup -- Results -- Total Number of Internal Tractors -- Traffic Lanes Deployment -- Internal Tractor Controller Deployment -- Conclusions -- References -- A Framework for Verification and Validation of Simulation Models and Applications -- Introduction -- Requirements for Successful Model Verification and Validation -- Proposed V&amp -- V Framework -- A Quality Assurance Process - The Extended V&amp -- V Triangle -- Overview of The Extended V&amp -- V Triangle -- Tailoring Concept -- Conclusion -- References -- A Decision Processing Algorithm for CDC Location Under Minimum Cost SCM Network -- Introduction -- Literature Review -- Objective Function -- Model Building-Up -- Solution Providing -- Traditional Methods Investigation -- CDC Searching Algorithm -- Definition of Node, Link Cost and Transferring Method -- Model Verification. Definition of Input Data for Verifying the MODEL. EBL202104 XX SzGeCERN EBL Flexible manufacturing systems-Computer simulation-Congresses EBL System design-Congresses BOOK Kim, Tag-Gon Kim, Yun-Bae https://cds.cern.ch/auth.py?r=EBLIB_P_6414046 ebook n 202114 21 PUBLIC https://catalogue.library.cern/legacy/2762974 BOOK MIGRATED 2762973 SzGeCERN 20210421183843.0 9783540749134 electronic version electronic version 9783540749127 print version oai:cds.cern.ch:2762973 cerncds:BOOK EBL 6414019 eng QH324.2 .C678 2007 006.3 Almeida e Costa, Fernando Advances in artificial life 9th European conference, ECAL 2007, Lisbon, Portugal, September 10-14, 2007, proceedings Berlin Springer 2007 1232 p ebook Lecture notes in computer science 4648 Intro -- Title Pages -- Preface -- Committees -- Table of Contents -- Chemical Organizations at Different Spatial Scales -- Introduction -- Examples -- Chemical Organization Theory -- The Well-Stirred Experiment -- Spatial Organization -- Results -- Waves of Change -- Different Scales Tend to Map to Different Parts of the Lattice -- Extreme Scales -- Organizations at Different Scales Can Provide Different Information -- Conclusion and Outlook -- Formulating Membrane Dynamicswith the Reaction of Surface Objects -- Introduction -- Basic Formulation and Previous Extension -- Extension for Describing Membrane Dynamics -- Membranes and Cubicles -- Extending Patterns -- Recombination -- Dynamics -- Application: Clathrin-Coated Vesicular Transport -- Discussion and Concluding Remarks -- Multi-level Selectional Stalemate in a Simple Artificial Chemistry -- Introduction -- Basic Template-Replicator World -- Effect of (Molecular) Mutation -- Enzymatic Coupling (Parasitism) -- Mutation + Parasitism -- Protocells: Two Interacting Levels of Selection -- Conclusion: Implications of the Study -- Simulation Model for Functionalized Vesicles: Lipid-Peptide Integration in Minimal Protocells -- Introduction -- Methods: The Stochastic Simulation Platform ENVIRONMENT -- Main Modelling Assumptions and Protocell Scenario -- Results -- Discussion and Final Remarks -- References -- Emergence of Genetic Coding: An Information-Theoretic Model -- Introduction -- Modelling Evolutionary Dynamics -- External and Internal Noise -- State-Space -- Genetic Algorithm -- Results -- Emergence of Structure in the Encoding -- Self-organization Within the Processing Function -- Discussion and Conclusions -- Emergent Phenomena Only Belong to Biology -- Introduction -- The Biological Key Ingredients of Emergence -- The Emergence of Shorter Paths in Insect Societies -- Conclusions. Genotype Editing and the Evolution of Regulation and Memory -- Introduction: RNA Editing -- Modeling Genotype Editing -- Testing on Drastic Environmental Oscillations -- Evolving Simple Regulatory Signals -- Memory and the Value of ``Junk'' Non-coding Genotype -- Discussion -- Acknowledgements. -- Investigating the Emergence of Phenotypic Plasticity in Evolving Digital Organisms -- Introduction -- Previous Work -- Methods -- Experiments and Results -- Experiment One -- Experiment Two -- Discussion and Conclusion -- References -- Simulation of the Evolution of Aging: Effects of Aggression and Kin-Recognition -- Introduction -- Model -- Results -- Discussion -- References -- Artificial Ecosystem Selection for Evolutionary Optimisation -- Introduction -- Artificial Ecosystem Selection in the Flask Model -- The Flask Model -- Artificial Ecosystem Selection -- Response to Selection -- Categorisation of Solutions from Artificial Ecosystem Selection -- Method -- Results -- Interpretation -- Discussion -- Building Virtual Ecosystems from Artificial Chemistry -- Introduction -- The Ecosystem -- The Significance of the Environment -- Cycles of Biosynthesis and Decay -- Cyclic Ecosystem Simulation -- Artificial Chemistry -- A Simulation Time-Step -- Constructing Virtual Organisms from Artificial Chemistry -- The Abiotic Environment -- Photosynthetic Autotroph -- Chemosynthetic Autotroph -- Heterotroph -- Conclusions and Future Work -- References -- Energy Flows and Maximum Power on an Evolutionary Ecological Network Model -- Introduction -- The Model -- Population Dynamics and Energy Flow on the Ecological Network -- Phenotype Space and the Construction of the Network -- The Evolution of the Network -- Simulation Results -- Basic Settings -- Different Ways of Energy Utilization -- Diffusion in the Phenotype Space -- General Trends in Different Settings. Diversity and TST -- Discussion -- References -- Entropy Production in Ecosystems -- Introduction -- Background -- Thermodynamics Applied to Life -- Maximum Entropy Production -- Chemical Potential -- The Model -- Population Metabolic Rate -- Mechanics of the Model -- Extensions and Applications -- Experimental Testing -- More Detailed Models -- Conclusion -- Increasing Complexity Can Increase Stability in a Self-regulating Ecosystem -- Introduction -- Self-regulating Models -- Methods -- Preliminary Results -- The Regulatory Mechanism -- Results -- Conclusion -- Niche Differentiation and Coexistence in a Multi-resource Ecosystem with Competition -- Introduction -- The Model -- Experiments and Results -- Trade-off in Abilities -- Trade-offs in Both Abilities and Needs -- Varying Trade-off Strengths -- Conclusion -- Variance in Water Temperature as a Factor in the Modelling of Starfish and Mussel Population Density and Diversity -- Introduction -- A Starfish / Mussel Predation Model -- Method -- Species Hierarchy -- Species Promotion -- Starfish Behaviour -- Simulation Tests -- Results -- Test A - Simulations with No Internal or External Influences -- Test B - External Environmental Changes -- Test C - Population Frequencies and Changes in Population Density -- Summary of the Results -- Discussion -- Cell Tracking: Genesis and Epigenesis in an Artificial O -- Introduction and Related Work -- The Model -- Biological Interpretation -- Implementations -- Examples of Development -- 25x25 Shapes -- 32x48 Shapes -- 64x64 Shapes -- Conclusion and Future Developments -- References -- Developmental Neural Heterogeneity Through Coarse-Coding Regulation -- Introduction -- Background -- Artificial Neural Tissue and Coarse-Coding Cell Model -- Sign-Following Task -- Results and Discussion -- Conclusions. Re-examination of Swimming Motion of Virtually Evolved Creature Based on Fluid Dynamics -- Introduction -- Swimming Motion of Virtual Creature Based on Fixed Frame Model -- Hydrodynamic Effect of Water Surrounding Virtual Creature -- Swimming Behavior of Other Types of Creatures -- Conclusion -- Adaptation to Sensory Delays -- Introduction -- The Model -- Results -- Conclusion -- Adapting to Your Body -- Introduction -- Methods -- Results -- Analysis of a Successful Agent -- Behavioural Performance -- Neural Dynamics -- Discussion -- An Analysis of Behavioral Attractor Dynamics -- Introduction and Background -- Method -- Results -- Energy Binary-Switch -- Energy Clamp -- Analysis and Discussion -- Conclusions and Future Work -- Artificial Emotions: Are We Ready for Them? -- Introduction -- Framework for Emotion-Based Projects -- Some Questions to Emotion-Based Computational Systems and Possible Ways to Address Them -- Final Comments -- References -- Evolution of an Adaptive Sleep Response in Digital Organisms -- Introduction -- AVIDA -- Experimental Setup -- Experimental Results and Discussion -- Conclusion -- Further Information. -- Acknowledgments. -- Where Did I Put My Glasses? Determining Trustfulness of Records in Episodic Memory by Means of an Associative Network -- Introduction -- Overview of Previous Work -- The Proposed Associative Netw -- Related Work -- Conclusion -- References -- Grounding Action-Selection in Event-Based Anticipation -- Introduction -- Event-Based Anticipation -- Formalization -- Examples -- A Tentative Modelling -- Low Level Extraction -- Model Construction -- Action Selection -- Experiments -- Simple Learning Task -- Survival Task -- Conclusion -- Aging in Artificial Learning Systems -- Introduction -- Aging in Connectionist Re-learning Process -- Aging of Artificial Immune System -- Concluding Remarks -- References. An Analysis of the Effects of Lifetime Learning on Population Fitness and Diversity in an NK Fitness Landscape -- Introduction -- Related Work -- Learning Models -- Hinton &amp -- Nowlan. -- Turney. -- Diversity -- Model -- Fitness Calculation -- Diversity Measure -- Experiments -- Fitness -- Diversity -- Conclusion -- Embodied Evolution and Learning: The Neglected Timing of Maturation -- Introduction -- Methods -- Results -- Maturation Time -- Learning and Evolution -- Adaptability to Novel Environmental Conditions -- Conclusions -- Evolution and Learning in an Intrinsically Motivated Reinforcement Learning Robot -- Introduction -- Simulated Robot, Task and Neural Network Architecture -- Results -- Discussion and Future Work -- References -- Evolving Cultural Learning Parameters in an NK Fitness Landscape -- Introduction -- Related Work -- Learning Models -- Hinton &amp -- Nowlan. -- Best. -- Self-adaptation -- Diversity -- Model -- Fitness Calculation -- Cultural Learning -- Self-adaptation of Cultural Parameters -- Diversity Measure -- Experiments -- Conclusion -- How Does Niche Construction Reverse the Baldwin Effect? -- Introduction -- Genetic Redistribution -- Case Studies -- Masking Effect in Language Evolution -- A Computational Model -- Stages -- Model Structure -- Layout of the Model -- Results -- Analysis -- Baldwinian Niche Construction -- The Masking Effect -- Discussion and Conclusion -- Improving Search Efficiency in the Action Space of an Instance-Based Reinforcement Learning Technique for Multi-robot Systems -- Introduction -- Task: Cooperative Carrying Problem -- APPROACH -- BRL: RL in Continuous Learning Space -- Action Selection and Rule Production. -- Extended BRL -- Basic Concept. -- BRL with an Adaptive Action Generator. -- Experiments -- Settings -- Result: Simulations -- Discussion. -- Result: Physical Experiments. Conclusions. EBL202104 XX SzGeCERN EBL Biological systems-Simulation methods-Congresses EBL Biological systems-Computer simulation-Congresses BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6414019 ebook n 202114 21 PUBLIC https://catalogue.library.cern/legacy/2762973 BOOK MIGRATED 2762967 SzGeCERN 20210421183844.0 9783540481041 electronic version electronic version 9783540437932 print version oai:cds.cern.ch:2762967 cerncds:BOOK EBL 6413372 eng Q325.5 .L369 2002 006.31 Lanzi, Pier L Advances in learning classifier systems 4th international workshop, IWLCS 2001, San Francisco, CA, USA, July 7-8, 2001 revised papers Berlin Springer 2002 232 p ebook Lecture notes in computer science 2321 Intro -- Advances in Learning Classifier Systems -- Preface -- Organization -- Table of Contents -- Biasing Exploration in an Anticipatory Learning Classifier System -- Introduction -- An Introduction to ACS2 -- Agent Architecture -- Knowledge Representation -- Environmental Model in ACS2 -- Policy in ACS2 -- Model Exploitation -- Background -- Approach -- Experimental Validation -- Exploration Bias in Maze5 -- Model Learning in a Dynamic Maze -- Adaptive Behavior in the Dynamic Maze5/7 -- Improved Performance in an Hand-Eye Coordination Task -- Summary and Conclusions -- References -- An Incremental Multiplexer Problem and Its Uses in Classifier System Research -- The Incremental Multiplexer Problem -- About the Multiplexer Problem -- The Standard Multiplexer Problem -- The Incremental Multiplexer Problem -- Fixed-Parameter Performance of XCS on the IMP -- Conclusions -- References -- A Minimal Model of Communication for a Multi-agent Classifier System -- Introduction -- Related Work -- Classifier Systems -- Multi-agent Systems -- Communication -- A Minimal Model of Communication -- Basic Principles -- Agents' Structure -- Measurements -- Experiments -- Implementation of the Minimal Model -- Adaptation of the Minimal Communication Model to a Khepera Robots Simulator -- Conclusion -- References -- A Representation for Accuracy-Based Assessment of Classifier System Prediction Performance -- Introduction -- Predictive Value -- Applying the Predictive Values to LCS -- Methods -- Data -- EpiCS -- Experimental Procedure -- Results -- 6-Muliplexer Experiments -- National Inpatient Survey Data -- Discussion -- Conclusion -- References -- A Self-Adaptive XCS -- Introduction -- The XCS Learning Classifier System -- Self-Adaption in Classifier Systems -- Self-Adaptive XCS in a Multi-step Environment -- XCS Results in Woods 2 -- Learning Rate. Self-Adaptive XCS in a Dynamic Multi-step Task -- Adaptive Mutation Results in Woods 14-06 -- Self-Adaptive XCS in a Long Chain Multi-step Task -- XCS Adaptive Mutation Rate Results in Woods 14-12 -- XCS Learning Rate Results in Woods 14-12 -- Conclusion -- References -- Two Views of Classifier Systems -- What Is a Learning Classifier System? -- Two Views of Classifier Systems -- Two Classifier Systems -- SBXCS -- XCS -- Representation in XCS and SBXCS -- The Policy's the Thing -- How SBXCS Determines Policies -- How XCS Determines Policies -- Three Approaches to Determining a Policy -- The GA-View and the RL-View -- Conclusion -- References -- Social Simulation Using a Multi-agent Model Based on Classifier Systems: The Emergence of Vacillating Behaviour in the ``El Farol'' Bar Problem -- Introduction -- The ``El Farol'' Bar Problem (EFBP) -- Why Is this Problem Difficult to Learn? -- Reward Distribution Schemes -- Extended Classifier System -- XCS Functionality -- Discovery Mechanisms -- Motivation -- MAXCS: A Multi-agent System that Learns Using XCS -- Experiments -- Results and Discussion -- Cooperative Reward -- Selfish Reward -- Emergent Behaviour in MAXCS -- Detailed Analysis of the Vacillating Agent for Lambda _{cm}=0.6 -- Conclusions -- References -- XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining -- Introduction -- Genetic-Based Machine Learning -- XCS -- Knowledge Representation -- Performance Component -- Update -- Discovery Component -- GALE -- Knowledge Representation -- Population Topology -- Fine-Grained Parallel GA -- Genetic Operators -- Experiments -- Classifier Schemes -- Datasets -- Experimental Setup -- Results -- Conclusions and Future Work -- References -- A Preliminary Investigation of Modified XCS as a Generic Data Mining Tool -- Introduction -- XCS and Modifications. Symbolic and Numeric Attributes -- Algorithmic Isues -- Benchmark Datasets and Comparative Algorithms -- Benchmark Datasets -- C4.5 and HIDER -- Experiments and Results -- Default XCS Setup and Initial Tests -- Further Study on the Voiting Database -- Discussion -- Summary and Conclusions -- References -- Explorations in LCS Models of Stock Trading -- Forecasting Financial Markets -- Classical Economic Theories -- Against the Classical Hypotheses -- Previous Work and New Objectives -- Reviewing the Model -- Analysing Agent Dynamics -- Market Environment -- Classifier Rules -- Results of IBM Stock -- Analysing Information Sets -- Developing New Traders -- Examining the Rules -- Conclusions -- References -- On-Line Approach for Loss Reduction in Electric Power Distribution Networks Using Learning Classifier Systems -- Introduction -- Problem Formulation -- A Brief Review of Learning Classifier Systems -- Classifier Systems Applied to the Problem -- Case Studies -- Conclusions -- References -- Compact Rulesets from XCSI -- Introduction -- XCSI and the Wisconsin Breast Cancer Problem -- Macrostates -- Compact Ruleset Algorithm -- Compact Rulesets for the WBC Data -- Cross Validation Experiment -- Conclusion -- References -- An Algorithmic Description of ACS2 -- Introduction -- Environment, Knowledge Representation, and Parameters -- Environmental Interaction -- Knowledge Representation -- Parameters -- Algorithmic Description -- Initialization -- The Main Execution Loop -- Formation of the Match Set -- Choosing an Action -- Formation of the Action Set -- Anticipatory Learning Process -- Reinforcement Learning -- Genetic Generalization -- Subsumption -- Summary -- References -- Author Index. EBL202104 XX SzGeCERN EBL Artificial intelligence BOOK Stolzmann, Wolfgang Wilson, Stewart W https://cds.cern.ch/auth.py?r=EBLIB_P_6413372 ebook n 202114 21 PUBLIC https://catalogue.library.cern/legacy/2762967 BOOK MIGRATED 2762951 SzGeCERN 20210421183844.0 9783540773689 electronic version electronic version 9783540773672 print version oai:cds.cern.ch:2762951 cerncds:BOOK EBL 6413225 eng T58.5 .A383 2007 004 Szczuka, Marcin S Advances in hybrid information technology first international conference, ICHIT 2006, Jeju Island, Korea, November 9-11, 2006, revised selected papers Berlin Springer 2007 682 p ebook Lecture notes in computer science 4413 Intro -- Title Page -- Preface -- Table of Contents -- Taking Class Importance into Account -- Introduction -- The Weighted Classification Problem -- Adapting ART for Weighted Classification -- Weighted Selection Criterion -- Weighted Rule Evaluation Criterion -- Experimental Results -- Conclusions and Future Work -- Tolerance Based Templates for Information Systems: Foundations and Perspectives -- Introduction -- Preliminaries -- Templates in Information Systems -- Generalized Templates -- Temporal Templates -- Tolerance Relations -- Tolerance Based Templates -- Tolerance Based Templates Generation -- Conclusions -- Reduction Based Symbolic Value Partition -- Introduction -- Preliminaries -- The Partition Problem -- The M-Relative Reduct Problem -- Decision Table Binarization -- The Reduction Based Symbolic Value Partition Algorithm -- Example -- The Optimal Single Group Partition Problem -- The Problem Conversion -- The Algorithm -- Algorithm Analysis -- Experiments with Data -- Conclusions and Further Works -- Investigative Data Mining for Counterterrorism -- Introduction -- Investigative Data Mining (IDM) -- The Process of IDM in Terrorist Network Investigations -- Link Analysis -- Social Network Analysis (SNA) -- Visualization -- Destabilizing Terrorist Networks -- Conclusion -- Data Integration Using Lazy Types -- Introduction -- Data Integration -- Designing a Suitable Integrated Schema -- Lazy Types for Coping with Data Heterogeneity -- Conclusions -- Data Generalization Algorithm for the Extraction of Road Horizontal Alignment Design Elements Using the GPS/INS Data -- Introduction -- Algorithm -- Data Grouping Algorithm by Tangent Curve Clothoid Section -- Tangent Curve Clothoid Analysis Algorithm -- Tangent Curve Clothoid Section Beginning Ending Position Estimation Algorithm -- Data Collection -- Study Area -- Acquisition Data. Data Analysis -- Result of Data Grouping by Tangent Curve Clothoid Section -- Result of the Tangent Curve Clothoid Analysis Algorithm -- Result of Tangent Curve Clothoid Section Begining Ending Position Estimation Algorithm -- Residuals Between Observed Values and Estimated Values -- Conclusion -- Personalized E-Learning Process Using Effective Assessment and Feedback -- Introduction -- Related Works -- Problem Assessment Using IRT -- Extracting E-Learning Style Using Web Mining -- A Model for Adaptive Assessment and Feedback -- Experiment and Discussion -- Conclusions -- Optimally Pricing European Options with Real Distributions -- Introduction -- Preliminaries to Option Pricing Models -- Computational Method to Price European Options -- Empirical Tests -- Conclusions -- Applying Stated Preference Methods to Investigate Effects of Traffic Information on Route Choice -- Introduction -- Literature Review -- Methodology -- Experimental Design -- Data Collection and Overview -- Modelling and Analysis -- Modelling -- Discussion -- Conclusion and Further Study -- A Study on Determining the Priorities of ITS Services Using Analytic Hierarchy and Network Processes -- Introduction -- Outlines of ANP and Research Trend -- Research Trends of ANP -- Theoretical Consideration of ANP -- Decision of ITS Service Priority Using ANP -- Establishing Network Structure and Evaluation Items -- Calculation of Weights -- Analysis of Prioritization Results -- Conclusions and Further Research -- An Introduction of Indicator Variables and Their Application to the Characteristics of Congested Traffic Flow at the Merge Area -- Introduction -- Data Collection and Analysis -- Data Collection and Sites -- Methodology of Data Analysis -- Relationship Between On-Ramp Traffic and Mainline Traffic -- Analysis Using Indicators -- Correlation Analysis. Conclusions and Further Studies -- Image Resize Application of Novel Stochastic Methods of Function Recovery -- Introduction -- Function Recovery with Stochastic Matrix Methods -- Stochastic Bernstein Function Recovery -- Illustrating Data Recovery Using Stochastic Bernstein Approximation -- Recovery of Noisy Data: Families of Functions -- Iterative Feature Extraction -- Applications of the Method: Image Zoom -- Conclusions -- Automatic Face Analysis System Based on Face Recognition and Facial Physiognomy -- Introduction -- Face Detection, Tracking, Tilted Face Correction, and Recognition -- Face Detection Using Multi-color Model -- Face Tracking and Tilted Face Correction Using Eyes Feature -- Face Recognition Using Face Feature Vector Function -- A Face Analysis and Avatar Drawing System -- Experimental Results -- Conclusions -- Moving Cast Shadow Elimination Algorithm Using Principal Component Analysis in Vehicle Surveillance Video -- Introduction -- Shadow Model -- Foreground and Background Figure -- Shadow Feature -- Algorithm Description -- Shadow Region Detection -- Principal Components Modification -- Removing Shadow Using Ellipse -- Searching Window Area of the Car -- Experimental Results -- Conclusion -- Automatic Marker-Driven Three Dimensional Watershed Transform for Tumor Volume Measurement -- Introduction -- Methods -- Three Dimensional Marker-Driven Watershed Transform -- Volume Measurement of 3D Object Models -- Volume and Intensity Measurement of SPECT Brain Images -- Results -- Size Criteria of 3D Object Models -- Accuracy and Speed of Volume and Intensity Measurement of 3D SPECT Images -- Conclusions and Discussion -- A Study on the Medical Image Transmission Service Based on IEEE 802.15.4a -- Introduction -- TH UWB-IR System -- Frequency Trend of IEEE 802.15.4a -- IEEE 802.15.4a TH UWB-IR System. Model of Indoor Multi-path Channel -- Performance Analysis of System -- Conclusion -- Detecting Image Based Spam Email -- Introduction -- Spam Email and Its Detection -- Extracting Text from Images by OCR -- Markov Keyword Models -- Experimental Results -- Conclusion and Future Work -- Efficient Fixed Codebook Search Method for ACELP Speech Codecs -- Introduction -- Algebraic Codebook -- Algebraic Codebook Structure -- Algebraic Codebook Search -- Pulse Replacement Methods -- The Least Important Pulse Replacement Method -- Global Pulse Replacement Method -- Proposed Iteration-Free Pulse Replacement Method -- Experimental Results -- Conclusion -- Conventional Beamformer Using Post-filter for Speech Enhancement -- Introduction -- The Conventional Beamformer -- Combined Non-adaptive Beamforming and Post Filtering -- Post-filtering Schemes Using Spectral Subtraction -- Minimum Mean-Square Error(MMSE) Using a Noncausal, a Priori Signal-to-Noise Ratio(SNR) Estimator -- Evaluation and Results -- Experimental Method -- Performance -- Conclusion -- Bandwidth Extension of a Narrowband Speech Coder for Music Delivery over IP -- Introduction -- Proposed BWE Encoder -- Proposed BWE Decoder -- Performance Evaluation -- Conclusion -- A User-Oriented GIS Search Service Using Ontology in Location-Based Services -- Introduction -- Personalized and Semantic Location-Based Services -- System Architecture -- System Components -- Implementation Modules -- Prototype Implementation -- Web Connection Module -- Map Module -- Ontology Search Module -- Web Interface Module -- An Example of Ontology-Based Search -- Conclusion -- A Filtered Retrieval Technique for Structural Information -- Introduction -- Background -- XML Document and Query Model -- Related Work -- Storage Structures and Query Processing -- Storage Structures -- Query Processing -- Performance Evaluation. Experimental Setup -- Experimental Results -- Conclusions -- An Analysis of a Lymphoma/Leukaemia Dataset Using Rough Sets and Neural Networks -- Introduction -- Data Mining -- Dataset Description -- Methods -- Results -- Conclusion -- A Frequency Adaptive Packet Wavelet Coder for Still Images Using CNN -- Introduction -- Cellular Neural Networks -- Packet Wavelet Representation for Images -- Packet Wavelet Coder in CNN Computer -- Simulation Results -- Conclusion -- Reduced RBF Centers Based Multi-user Detection in DS-CDMA Systems -- Introduction -- Background -- RBF Neural Network -- Previous Neural Network Based MUD -- The Proposed Techniques -- RBF Based Multi-user Detector -- The Adaptive Training of RBF MUD -- Center Reduction for Fast Learning -- Simulation Studies -- Conclusions -- Approximate Life Cycle Assessment of Product Concepts Using a Hybrid Genetic Algorithm and Neural Network Approach -- Introduction -- Overview of the Proposed Method -- Environmental Impact Drivers (EIDs) and Product Attributes -- A Brief Description of the Proposed Method -- A Hybrid GA and NN Approach -- Research Data and Experiments -- Experimental Results -- Conclusions -- A Solution for Bi-level Network Design Problem Through Nash Genetic Algorithm -- Introduction -- The Bi-level Network Design Problem -- Nash Genetic Algorithm for Solving Bi-level Network Design -- Representation and Initialization -- Evaluation -- Reliability Calculation -- Genetic Operations: Selection, Crossover, and Mutation -- Experimental Results -- Conclusion -- An Alternative Measure of Public Transport Accessibility Based on Space Syntax -- Introduction -- Hierarchical Network Connectivity in Space Syntax -- Applying to Public Transport Problem -- The Case Study -- Discussion: Modifying the Depth-Based Accessibility -- Concluding Remarks. Adaptive Routing Algorithm Using Evolution Program for Multiple Shortest Paths in DRGS. EBL202104 XX SzGeCERN BOOK Howard, Daniel Slezak, Dominik Kim, Haeng-kon Kim, Tai-hoon Ko, Il-seok Lee, Geuk Sloot, Peter M A https://cds.cern.ch/auth.py?r=EBLIB_P_6413225 ebook n 202114 21 PUBLIC https://catalogue.library.cern/legacy/2762951 BOOK MIGRATED 2762933 SzGeCERN 20210421183845.0 9783540723486 electronic version electronic version 9783540723462 print version oai:cds.cern.ch:2762933 cerncds:BOOK EBL 6408054 eng QA76.9.U83 .H836 2006 006.3 Huang, Thomas S Artifical intelligence for human computing ICMI 2006 and IJCAI 2007 international workshops, Banff, Canada, November 3, 2006 Hyderabad, India, January 6, 2007 revised selceted papers Berlin Springer 2007 373 p ebook Lecture notes in computer science 4451 Intro -- Title page -- Preface -- Organization -- Table of Contents -- Foundations of Human Computing: Facial Expression and Emotion -- Introduction -- Approaches to Measurement -- Message Judgment -- Sign Measurement -- Automatic Measurement -- Reliability of Meta-Data -- Concurrent Validity for Continuous Measurement -- Dynamics -- Individual Differences -- Interpersonal Regulation -- Conclusion -- References -- Instinctive Computing -- Introduction -- The Bottom-Up Approaches -- Building Blocks of Instinctive Computing -- Virtual Forage -- Information Foraging -- Virtual Food-Chains -- Near-Field Interactions -- Vigilance of Vulnerability -- Human-Like Sensors -- Multi-resolution Sensing -- Tongue Inspection -- Reproductive Aesthetics -- Sexuality -- Detecting Human Body Features -- Privacy Algorithm -- Human Computing and Machine Understanding of Human Behavior: A Survey -- Introduction -- Issues in Modeling Human Behavior -- What Is Communicated? -- How the Information Is Passed on? -- In Which Context Is the Information Passed on? -- Can Computer Systems Understand Human Behavior? -- Human Sensing -- Context Sensing -- Understanding Human Behavior -- Guidelines for Future Research Efforts in the Field -- Conclusions -- References -- Audio-Visual Spontaneous Emotion Recognition -- Introduction -- Related Work -- Data of Adult Attachment Interview -- Facial Expressions -- 3D Face Tracker -- Locality Preserving Projection -- Vocal Expressions -- Adaboost Multi-stream Hidden Markov Model -- Learning Algorithm -- Classification Algorithm -- Experimental Results -- Facial Expression Analysis on Locality Preserving Subspace -- Prosody Expression Analysis -- Audio-Visual Fusion -- Conclusion -- References -- Modeling Naturalistic Affective States Via Facial, Vocal, and Bodily Expressions Recognition -- Introduction. Induction of Natural Emotions - Data Collection -- Extraction of Facial Features -- Face Detection and Pose Estimation -- Automatic Facial Feature Detection and Boundary Extraction -- Final Masks Generation and Confidence Estimation -- From FP to FAP Estimation -- Hand Gesture Analysis -- Extraction of Acoustic Features -- Fusion of Visual and Acoustic Features -- Conclusions - Future Work -- References -- Emotion and Reinforcement: Affective Facial Expressions Facilitate Robot Learning -- Introduction -- Affect as Reinforcement -- Chapter Layout -- Interactive Robot Learning -- Learning by Example -- Learning by Feedback -- Learning by Guidance -- Affect Influences Learning -- Emotion and Affect -- Emotional Influences -- Socially Communicated Affect -- EARL: A Computational Framework to Study the Relation Between Emotion, Adaptation and Reinforcement Learning -- Emotional Expressions as Reinforcement Signal -- Method -- Continuous Gridworld as Test Environment -- Reinforcement Learning in Continuous Environments -- Social vs. Non-social Learning -- Results -- Conclusion, Discussion and Future Work -- References -- Trajectory-Based Representation of Human Actions -- Introduction -- Related Work -- Tracking -- Human Activity Tracking and Recognition -- Unsupervised Representation and Recognition of Actions -- Overview of the Proposed Method -- Spatiotemporal Salient Points -- Spatiotemporal Saliency -- Salient Regions -- Space-Time Warping -- Tracking -- Auxiliary Particle Filtering -- Online Background Estimation -- Recognition -- Longest Common Subsequence (LCSS) Algorithm -- Relevance Vector Machine Classifier -- Experimental Results -- Conclusions -- Modelling the Communication Atmosphere: A Human Centered Multimedia Approach to Evaluate Communicative Situations -- Evaluation of Human Communication -- Communication Atmosphere. Environmental Dimension -- Emotional Dimension -- Communicative Dimension -- Tracking the Communication Atmosphere -- The Atmosphere Adjustment -- Experimental Results -- Conclusions -- Modeling Influence Between Experts -- Introduction -- Influence Modeling of Multi-sensor Dynamics -- Experimental Results -- Combining Evidence with the Influence Model -- On-Body Smart Sensor Network -- Social Network Example -- Conclusion -- Social Intelligence Design and Human Computing -- Introduction -- Approaches to Social Intelligence Design -- Interaction in Social Discourse -- Social Interaction with Nonverbal Communication Means -- Knowledge in Action -- Meeting Capture -- Collaboration Support -- Community Media and Social Interaction in the Large -- Understanding Community Media -- Supporting Community -- Knowledge Circulation in a Community -- Social Artifacts -- Embodied Conversational Agents -- Communicative Robots -- Establishing Mutual Intention -- A Structured View of Social Intelligence Design -- Historical Overview of Social Intelligence Design -- Viewpoints to Classify Approaches to Social Intelligence Design -- Concluding Remarks -- References -- Feedback Loops in Communication and Human Computing -- Introduction -- Engineering Natural Interaction: Preliminaries -- The Nature of Communication -- Ways to Engineer Natural Interaction -- From Data Analysis to System Integration -- The Method -- Feedback in Conversations -- Human Computing -- Evaluating the Future of HCI: Challenges for the Evaluation of Emerging Applications -- Introduction -- Human Computing and HCI -- HCI Systems -- Traditional HCI Systems -- Emerging HCI Systems -- Stressing the Need for Evaluation: Three Examples of Emerging HCI Applications -- Groupware Systems -- Smart Homes -- Virtual Dancer -- Evaluation -- Design Criteria in HCI -- Current Evaluation Practice in HCI. Challenges for Evaluation of Emerging HCI Systems -- Conclusion -- Gaze-X: Adaptive, Affective, Multimodal Interface for Single-User Office Scenarios -- Why Multimodal, Context-Sensitive User Interface Design? -- The Evolution of Human-Computer Interfaces -- The State of the Art -- Organization of the Paper -- System Architecture -- Input Modalities -- Case-Based Reasoning -- Interaction Adaptation -- GUI of the System -- Usability Study -- Conclusions -- References -- SmartWeb Handheld - Multimodal Interactionwith Ontological Knowledge Bases and Semantic Web Services -- Introduction -- Multimodal Interaction Sequence Example -- Architecture Approach -- Ontology Representation -- The Upper Model -- The DiscOnto Ontology -- The Smartmedia Ontology -- Multimodal Access to Web Services -- Semantic Parsing and Discourse Processing -- Language Understanding with SPIN and Text Generation with NIPSGEN -- Multimodal Discourse Processing with FADE -- Reaction and Presentation Planning for the Semantic Web -- Information States for QA -- Dialog Components Integration -- Conclusions -- A Learning-Based High-Level Human Computer Interface for Face Modeling and Animation -- Introduction -- System Overview -- A Morphable Model of 3D Faces -- Estimation of 3D Shape, Texture, Pose and Lighting -- Facial Animation in Images -- Exchanging Faces in Images -- Learning-Based Modification of High-Level Attributes -- A Human Computer Interface for Face Modeling -- Components of the Modeling Interface -- General Settings -- Simultaneous Versus Separate Modification of Image Regions -- Facial Attributes -- Affine Transformations -- Importing Features from a Database -- Hair Style -- Exporting the Target Face -- Results -- Conclusion -- Challenges for Virtual Humans in Human Computing -- Introduction -- Structure of This Paper -- Human Computing: Background. Virtual Humans: Related Work and State of the Art -- Virtual Humans: Engagement and Enjoyment -- Introduction -- A Dancer -- A Conductor -- A Trainer -- How Human Should Virtual Humans Really Be? -- Virtual Humans as Individuals -- Here and Today - Situatedness -- Shortcomings as Features -- User Adaptation -- Clarification and Commitment -- Signaling Mental State and Attitude -- Other Merits of Imperfections -- Some Communicational Challenges for VHs in an AmI Environment -- Who Is in Control? -- Coordination of Modalities -- Discussion -- Affect Detection and an Automated Improvisational AI Actor in E-Drama -- Introduction -- Our Current Affect Detection -- Pre-processing Modules -- Affect Detection Using Rasp, Pattern Matching &amp -- WordNet and Responding Regimes -- Metaphorical Language Processing in EMMA -- The Users Avatars and Emotional Animation -- Affect Via Metaphor - Theoretical Analysis in E-Drama Transcripts -- User Testing -- Conclusion and Ongoing Work -- References -- Author Index. EBL202104 XX SzGeCERN EBL Human-computer interaction-Congresses EBL User interfaces (Computer systems)-Congresses BOOK Nijholt, Anton Pantic, Maja Pentland, Alex https://cds.cern.ch/auth.py?r=EBLIB_P_6408054 ebook n 202114 21 PUBLIC https://catalogue.library.cern/legacy/2762933 BOOK MIGRATED 2762929 SzGeCERN 20210421183845.0 9783540742623 electronic version electronic version 9783540742616 print version oai:cds.cern.ch:2762929 cerncds:BOOK EBL 6408031 eng Q325.5 .A585 2007 006.31 Butz, Martin V Anticipatory behavior in adaptive learning systems from brains to individual and social behavior Berlin Springer 2007 388 p ebook Lecture notes in computer science 4520 Intro -- Title Page -- Preface -- Organization -- Table of Contents -- Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems -- Introduction -- Potential Benefits of Anticipatory Behavior Mechanisms -- The General Nature of Anticipatory Mechanisms -- How Anticipations Can Help -- OverviewoftheBook -- Anticipations in Brains, Language, and Cognition -- Individual Anticipatory Frameworks -- Learning Predictions and Anticipations -- Anticipatory Processes in Behavioral Control -- Anticipatory Social Behavior -- Conclusions -- References -- Neural Correlates of Anticipation in Cerebellum, Basal Ganglia, and Hippocampus -- Introduction -- The Neural Correlates of Behavior -- Scope -- Cerebellum - Motor Actions and Timing -- Basal Ganglia - Dopamine and Reward -- Hippocampus - Episodic Memory -- Conclusion -- References -- The Role of Anticipation in the Emergence of Language -- What is the Problem of Language Emergence? -- What Form Does an Answer to This Problem Take? -- A Modified Question: What Are the Minimal Initial Conditions for the Emergence of Language? -- What Form Does an Answer to the Modified Question Take? -- What is the Role of Anticipation in the Emergence of Language? -- What Are Some of the Theories of the Emergence of Language? -- Natural Language Evolution -- Artificial Language Evolution -- What Are Some of the Sufficient Conditions for the Emergence of Language? -- References -- Superstition in the Machine -- Introduction -- The Search for Patterns -- The Amorphousness of the World -- Superstitious Anticipations -- Decision-Making and the Construction of Information -- Conclusion -- References -- From Actions to Goals and Vice-Versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE -- Introduction -- The Ideomotor Principle -- TOTE and Cybernetic Principles. ComparisonofIMPandTOTE -- Origin of Goals and Their Selection -- Goal Representation -- Action Selection and Initialization -- Action Execution -- Context Dependence -- Learning -- Goal Orientedness, the IMP and the TOTE -- Implementations of IMP and TOTE in Artificial Systems -- Case Study I: An Architecture for Visual Search -- Case Study II: An Architecture for Reaching -- Case Study III: Anticipatory Classifier Systems -- Conclusions -- References -- Project "Animat Brain": Designing the Animat Control System on the Basis of the Functional Systems Theory -- Introduction -- Anokhin's Theory of Functional Systems -- Architecture and Principles of Operation of the Animat Brain -- Particular Model of Animat Brain Operation -- Animat Environment and Features -- Animat Control System -- Learning Mechanism -- Evolution Mechanism -- Interaction Between Selection of Actions and Predictions -- Discussion and Conclusion -- References -- Cognitively Inspired Anticipatory Adaptation and Associated Learning Mechanisms for Autonomous Agents -- Introduction -- Architectural Support for Anticipation -- Perceptual Associative Memory -- Selective Attention -- Procedural Memory -- Action Selection -- LIDA's Cognitive Cycle -- Anticipatory Mechanisms -- Payoff Anticipatory Mechanisms -- State Anticipatory Mechanism -- Sensorial Anticipatory Mechanism -- Anticipatory Learning -- Automatization -- Deautomatization -- Procedural Learning -- Related Work -- Discussion -- References -- Schema-Based Design and the AKIRA Schema Language: An Overview -- Introduction -- Schema-Based Design (SBD) -- What's in a Schema? -- Schema-Based Architectures and Cooperative Competition -- Pragmatic and Epistemic Aspects of SBD -- The AKIRA Schema Language (AKSL) -- Schemas -- Determining the Activity Level of Schemas -- Motivations and Routines -- Sensors and Actuators. Comparison with Related Literature -- Exemplar Capabilities of AKSL -- Action Selection and Attention -- Category Formation -- Simulation of Future Behavior -- Grounding -- Hierarchical Control of Action -- Conclusions -- References -- Training and Application of a Visual Forward Model for a Robot Camera Head -- Visuomotor Prediction -- Visual Forward Model for Camera Movements -- Method -- Setup -- Retinal Mapping -- Grid of Cumulator Units -- Learning Process -- Generating a Raw Version of the MM and VM -- Network Training -- Results -- Future Applications -- Saccade Learning -- Grasping of Extrafoveal Targets -- Discussion and Conclusions -- References -- A Distributed Computational Model of Spatial Memory Anticipation During a Visual Search Task -- Introduction -- VisualSearch -- Saccadic Eye Movements -- Visual Attention -- Computational Models -- A Model of Visual Search with Overt Attention -- Experiment -- Model -- Simulation and Results -- Discussion -- References -- Appendix -- A Testbed for Neural-Network Models Capable of Integrating Information in Time -- Introduction -- Testbed Description -- Input Time Series -- Metrics for Measuring Prediction and Categorization Capabilities -- Test of Robustness vs. Noise and Systematic Transformations of the Input Signal -- Analysis Techniques -- Neural Networks for Integrating Information in Time -- Elman Neural Networks -- Echo State Neural Networks -- Leaky Integrator Neural Networks -- Long Short-Term Memory Neural Networks -- Examples of Applications -- Wall Task: Experimental Setup -- Wall Task: Results -- Three Objects Task: Experimental Setup -- Three Objects Task: Results -- Conclusions and Future Work -- References -- Construction of an Internal Predictive Model by Event Anticipation -- Introduction -- Event-Based Anticipation -- Stating the Problem -- Expected Properties. Information Theory and Anticipation -- Basis of Information Theory -- Time-Delay Relationships -- Predictive Relationships Extracted from Contingency -- Architecture -- Salience Filtering -- Construction of the Internal Model -- Anticipation of Events -- Forgetting Mechanism -- Experiments -- Experimental Setup -- Results -- Possible Extensions -- Actions and Rewards -- Handling Complex Predictive Relationships -- Conclusion -- References -- The Interplay of Analogy-Making with Active Vision and Motor Control in Anticipatory Robots -- Introduction -- Environment and Scenarios -- Integrated Architecture -- AMBR -- Extensions of AMBR for the AIBO Robot Application -- Connecting ABMR with the Robot -- IKAROS -- AMBR2Robot -- Results -- Summary -- Future Work -- References -- An Intrinsic Neuromodulation Model for Realizing Anticipatory Behavior in Reaching Movement Under Unexperienced Force Fields -- Introduction -- ProposedMethod -- CTRNN with NM Bias -- Diffusion of NM -- Evolution of CTRNN with NM Bias -- Experiments -- Arm-Reaching Movement in Various Force Fields -- Neural Controller -- Evaluation Criteria -- Results -- Discussions -- References -- Anticipating Rewards in Continuous Time and Space: A Case Study in Developmental Robotics -- Introduction -- The Context of Our Work: Scenario and Architecture -- Relation to Reinforcement Learning -- Classical Reinforcement Learning -- The Problem of Discretization -- Our Approach to Learning -- Desired Sensations -- Avoided Sensations -- Experiments and Results -- Conclusion and Perspectives -- References -- Anticipatory Model of Musical Style Imitation Using Collaborative and Competitive Reinforcement Learning -- Introduction -- Cognitive Foundations -- Auditory Learning -- Mental Representations of Expectation -- Memory and Reinforcement -- Background on Stochastic Music Modeling. Musical Representation -- Stochastic Modeling -- Background on Anticipatory Modeling -- General Architecture -- Musical Representation -- Environmental Interactions -- Interactive Learning -- Competitive and Collaborative Learning -- Memory-Based Learning -- Generation Results -- Discussions -- Model Complexity -- Further Developments -- References -- An Anticipatory Trust Model for Open Distributed Systems -- Introduction and Motivation -- State of the Art -- The Anticipatory Trust Model -- Experiments -- Discussion of the Anticipatory Mechanisms -- Conclusions -- References -- Anticipatory Alignment Mechanisms for Behavioral Learning in Multi Agent Systems -- Introduction -- Motivation -- Our Approach Towards Anticipatory Agents -- Taxonomy and Benefits -- Paper Outline -- Behavior Nets -- Definition of Behavior Nets -- Operations -- Individually Aligning Behaviors On-the-Fly -- Alignment Policies -- Example -- Pre-interaction Alignment -- Pre-interaction Alignment with Intended Behaviors Only -- Using Interaction Beliefs -- Alignment by a Third-Party Agent -- Third Agent as a Mediator -- Third Agent as a Superior Agent -- Discussion and Future Work -- Conclusion -- References -- Backward vs. Forward-Oriented Decision Making in the Iterated Prisoner's Dilemma: A Comparison Between Two Connectionist Models -- Introduction -- The Prisoner's Dilemma Game -- Social Interactions and Modeling of the IPDG -- Models - Architectures and Functioning -- Basic Architecture -- Decision Making of the Models -- Game Simulations -- The Computer Opponent -- Comparison of Models' and Experimental Results -- Mean Cooperation and Payoffs -- Dependency of Cooperation Rate on CI -- The Role of Anticipation on Cooperation for Model A -- Effects Related to Varying \beta -- Predictions of Model A in the IPDG -- Detailed Comparison of Model A with Experimental Data. Conclusion and Discussion. EBL202104 XX SzGeCERN BOOK Sigaud, Olivier Pezzulo, Giovanni Baldassarre, Gianluca https://cds.cern.ch/auth.py?r=EBLIB_P_6408031 ebook n 202114 21 PUBLIC https://catalogue.library.cern/legacy/2762929 BOOK MIGRATED 2762906 SzGeCERN 20210421183846.0 9780128187920 electronic version electronic version 9780128187913 print version oai:cds.cern.ch:2762906 cerncds:BOOK EBL 6395696 eng R856 .H363 2021 610.284 Hamblin, Michael R Biomedical applications of microfluidic devices San Diego, CA Elsevier Science & Technology 2020 352 p ebook Intro -- Biomedical Applications of Microfluidic Devices -- Copyright -- Dedication -- Contents -- Contributors -- Preface -- Chapter 1 An overview of microfluidic devices -- 1.1 Introduction -- 1.2 Chemical synthesis -- 1.3 Drug delivery -- 1.4 Cell biology -- 1.5 Biosensors -- References -- Chapter 2 Microfluidic devices: Synthetic approaches -- 2 Cleanroom -- 2.1 Classification -- 2.2 Cleanroom concepts -- 2.3 Cleanroom equipment -- 2.4 Materials -- 2.4.1 Polydimethylsiloxane -- 2.4.2 SU-8 -- 2.4.3 Silicon -- 2.4.4 Glass -- 2.4.5 Nonmetal thin films -- 2.4.6 Metals -- 2.5 Deposition methods -- 2.5.1 Deposition methods for Si 3 N 4 and SiO 2 -- 2.5.2 Deposition methods for thin metal layers -- 2.5.3 Deposition methods for thick metal layers -- 2.6 Lithography -- 2.6.1 Photolithography -- 2.7 Etching techniques -- 2.7.1 Features of etching procedures -- 2.7.2 Wet etching of thin films -- 2.7.3 Isotropic wet etching of silicon and glass -- 2.7.4 Anisotropic wet etching of silicon -- 2.7.5 Dry etching methods -- 2.8 Types of molding -- 2.8.1 Soft lithography -- 2.8.2 Injection molding -- 2.8.3 Hot embossing -- 2.9 3D printing -- 2.10 Stereolithography -- 2.11 Fused deposition molding -- References -- Chapter 3 Microchannels for microfluidic systems -- 3.1 Introduction -- 3.2 Cross-section geometry in microchannels in microfluidic systems -- 3.3 Channel design for different flow regimes (turbulent and laminar flow) -- 3.4 Phase study in microfluidic devices and microchannel patterns -- 3.5 Hydrodynamic behavior of the flow in microfluidic systems -- 3.6 The velocity development in the microchannels -- 3.7 Hydrophilicity and hydrophobicity effects in microfluidic systems -- 3.8 Physical specifications of channels in microfluidic systems -- 3.8.1 Effect of friction coefficient of the microchannels in microfluidic devices. 3.8.2 Roughness effects in channels of microfluidic devices -- 3.9 Biomedical applications of transport phenomena in microfluidic systems -- 3.10 Pathogen detection by microchannel devices using nanotechnology -- 3.11 Soft microchannels in biomedical applications -- 3.12 Reusable microchannels in biomedical applications -- 3.13 Conclusions -- References -- Chapter 4 Microarray technologies -- 4.1 Introduction -- 4.2 What are microarrays? -- 4.2.1 DNA microarrays -- 4.2.1.1 Fabrication methods for DNA microarrays -- 4.2.2 Protein microarrays -- 4.2.2.1 Analytical protein microarrays -- 4.2.2.2 Functional protein microarrays -- 4.2.2.3 Reverse phase microarrays -- 4.2.2.4 Fabrication of protein microarrays -- 4.2.3 Cell microarrays -- 4.3 Microfluidic arrays -- 4.3.1 Advantages of microfluidic array technology -- 4.3.2 Disadvantages of microfluidic array technology -- 4.3.3 Fabrication of microfluidic arrays -- 4.3.4 Automated microfluidic arrays (lab-on-a-chip systems) -- 4.3.5 Examples of microfluidic arrays -- 4.4 Conclusion -- References -- Chapter 5 Microfluidics: Organ-on-a-chip -- 5.1 Traditional systems drawbacks -- 5.2 Microfabrication principles -- 5.3 Significant organ-on-a-chip platforms -- 5.3.1 Lung-on-a-chip -- 5.3.2 Intestine-on-a-chip -- 5.3.3 Blood vessel-on-a-chip -- 5.3.4 Heart-on-a-chip -- 5.3.5 Liver-on-a-chip -- 5.3.6 Tumor-on-a-chip -- 5.3.7 Bone marrow-tumor-on-a-chip -- 5.3.8 Brain-tumor-on-a-chip -- 5.4 Conclusion and future perspectives -- References -- Chapter 6 Microfluidic devices for pathogen detection -- 6.1 Introduction -- 6.2 Sample preparation for microfluidics devices -- 6.3 Microfluidic devices integrated with different technologies for the detection of pathogens -- 6.3.1 Biosensor-based microfluidics -- 6.3.2 Optical-based microfluidics -- 6.3.3 Fluorescence-based microfluidics. 6.3.4 Chemiluminescence-based microfluidics -- 6.3.5 Plasmonic-based microfluidics -- 6.3.6 Colorimetric-based microfluidics -- 6.3.7 Electrochemical-based microfluidics -- 6.3.8 PCR-based microfluidic systems -- 6.3.9 Mass spectrometry-based microfluidics -- 6.4 Conclusions -- References -- Chapter 7 Microfluidic devices and drug delivery systems -- 7.1 Introduction to microfluidics -- 7.2 Fabrication of the microfluidic device -- 7.2.1 Geometry -- 7.2.2 Materials -- 7.3 Applications of microfluidic devices -- 7.4 Microfluidic devices in drug delivery systems -- 7.5 Microfluidics in the fabrication of drug delivery carriers -- 7.5.1 Self-assembled drug carriers -- 7.5.2 Droplet-based carriers -- 7.5.3 Nonspherical carriers and particles -- 7.6 Effective parameters for the production of carriers -- 7.7 Carrier materials -- 7.8 Examples of immobilization of drugs using microfluidic technology for drug delivery -- 7.9 Benefits of using microfluidics in drug delivery systems -- 7.10 Direct drug delivery via microfluidic systems -- 7.10.1 Localized drug delivery -- 7.10.2 Skin anatomy and transdermal drug delivery -- 7.10.2.1 Microneedles -- 7.11 Microfluidics for drug delivery: Cellular and organ level -- 7.11.1 On-site analysis -- 7.11.2 Protein crystallization -- 7.12 Organ-on-a-chip -- 7.13 The role of microfluidic technology for cancer cell studies -- 7.14 Autonomous and smart integrated drug delivery microfluidic platforms -- 7.15 Conclusions and future directions -- References -- Chapter 8 Microfluidic devices for gene delivery systems -- 8.1 Introduction -- 8.2 Microfluidic devices for production of nonviral vectors (micro/NPs) -- 8.3 Continuous flow systems -- 8.4 Droplet-based microfluidic devices -- 8.5 Microfluidic devices based on physical methods for genes transfection -- 8.5.1 Electroporation -- 8.6 Microinjection. 8.7 Hydrodynamics-based transfection -- 8.8 Conclusions -- References -- Chapter 9 Microfluidic devices in tissue engineering -- 9.1 Introduction -- 9.2 Fabrication techniques in microfluidic devices -- 9.2.1 Etching -- 9.2.2 Thermoforming -- 9.2.3 Micromachining -- 9.2.4 Polymer casting -- 9.3 Materials used in microfluidic devices -- 9.3.1 Polymers -- 9.3.2 Hydrogels -- 9.3.3 Inorganic materials -- 9.4 Research progress in microfluidics-based tissue engineering -- 9.4.1 Scaffold fabrication using microfluidics -- 9.4.1.1 Microfluidic-based microfibrous structures -- 9.4.1.2 Microfluidic-based microparticles -- 9.4.2 Stem cell-based microfluidics systems -- 9.5 Organomimetic prospects in microfluidics -- 9.5.1 Liver-on-a-chip -- 9.5.2 Gut-on-a-chip -- 9.5.3 Brain-on-a-chip -- 9.5.4 Kidney-on-a-chip -- 9.5.5 Heart-on-a-chip -- 9.6 Microfluidic models of cancer tissue -- 9.6.1 Cancer cells 2D and 3D culture and co-culture -- 9.6.2 In vitro models of tumor spheroids and tumor tissue -- 9.6.3 In vitro models of tumor including multiorgans -- 9.7 Conclusions and challenges -- References -- Chapter 10 Microfluidics in organic chemistry -- 10.1 Introduction -- 10.2 Microfluidic devices used in organic chemistry -- 10.3 Effect of microfluidics on reducing by-products in organic synthesis -- 10.4 Effect of microfluidics on mass transfer in organic synthesis -- 10.5 Microreactors for the high-temperature synthesis -- 10.6 Effect of microfluidics on control of conversion and selectivity in organic synthesis -- 10.7 Multiphase microfluidic strategies for the synthesis of microparticles -- 10.8 Summary -- References -- Chapter 11 Microfluidic paper-based devices -- 11.1 Introduction -- 11.2 Fabrication techniques -- 11.2.1 Physical techniques -- 11.2.1.1 Wax printing -- 11.2.1.2 Plotting -- 11.2.1.3 Inkjet etching -- 11.2.1.4 Flexographic printing. 11.2.1.5 Laser treatment -- 11.2.1.6 Ink stamping -- 11.2.1.7 Shaping and cutting of the paper -- 11.2.1.8 Lacquer spraying -- 11.2.1.9 Screen printing -- 11.2.2 Chemical techniques -- 11.2.2.1 Photolithography -- 11.2.2.2 Plasma treatment -- 11.2.2.3 Inkjet printing -- 11.2.2.4 Chemical vapor-phase deposition -- 11.2.2.5 Wet etching -- 11.2.3 Fabrication techniques for 3D μPADs -- 11.2.3.1 Stacking technique -- 11.2.3.2 Origami -- 11.3 Applications of microfluidic paper-based analytical devices -- 11.3.1 Biochemical detection -- 11.3.2 Immunological detection -- 11.3.3 Molecular detection -- 11.3.4 Other detection approaches -- References -- Chapter 12 Smartphone-based microfluidic devices -- 12.1 Introduction -- 12.2 Utilization of MS 2 for biomedical diagnosis -- 12.3 Detection of pathogens using MS 2 -- 12.4 Analysis of genes -- 12.5 Analysis of food safety and environmental contamination using MS 2 -- 12.5.1 Identification of heavy metal pollution -- 12.5.2 Identification of bacterial contaminants -- 12.5.3 Tests for pH, nitrate and nitrite -- 12.6 Applications of MS 2 for routine clinical testing -- References -- Chapter 13 Targeted delivery of nucleic acids using microfluidic systems -- 13.1 Introduction -- 13.2 Structure of nucleic acids -- 13.2.1 Primary structure -- 13.2.2 Secondary structure -- 13.2.3 The tertiary structure of nucleic acids -- 13.2.4 The quaternary structure of nucleic acids -- 13.3 Structures of natural and artificial nucleic acids -- 13.3.1 DNA chemical structure -- 13.3.2 RNA chemical structure -- 13.3.3 Aptamer chemical structures -- 13.3.4 Peptide nucleic acids -- 13.3.5 Locked nucleic acids (LNA) -- 13.4 Therapeutic potential of nucleic acids -- 13.4.1 DNA-based approaches -- 13.4.1.1 Plasmid DNA -- 13.4.1.2 Oligonucleotides and antisense oligonucleotides -- 13.4.2 RNA-based approaches. 13.4.2.1 Small interfering RNAs. EBL202104 XX SzGeCERN EBL Medical instruments and apparatus EBL Microfluidic devices BOOK Karimi, Mahdi https://cds.cern.ch/auth.py?r=EBLIB_P_6395696 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2762906 BOOK MIGRATED 2762903 SzGeCERN 20210421183846.0 9780429644092 electronic version electronic version 9781138308763 print version oai:cds.cern.ch:2762903 cerncds:BOOK EBL 6388574 eng TK5105.548 .C373 2021 658.4/038076 Cascarino, Richard E The complete guide for CISA examination preparation Milton Auerbach Publishers 2020 273 p ebook Internal audit and IT audit Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- The Complete Guide for CISA Examination Preparation -- Chapter 1 Introduction to the CISA Examination -- The Examination Itself -- Becoming Certified -- Experience Requirements -- Educational Waivers -- Passing the Examination -- CISA Job Practice Domains and Task and Knowledge Statements -- ISACA's Code of Professional Ethics -- The ISACA Standards -- Continuous Professional Education (CPE) -- Chapter 2 Domain 1 - The Process of Auditing Information Systems -- The First Task -- The Second Task -- The Third Task -- The Fourth Task -- The Final Stage -- Knowledge Statements -- Knowledge of ISACA IT Audit and Assurance Standards, Guidelines and Tools and Techniques, Code of Professional Ethics, and Other Applicable Standards -- Understanding the Fundamental Business Processes -- Control Principles Related to Controls in Information Systems -- Reliability and Integrity of Information -- Compliance with Policies, Plans, Procedures, Laws, and Regulations -- Safeguarding of Assets -- Effectiveness and Efficiency of Operations -- Risk-Based Audit Planning and Audit Project Management Techniques -- Inherent Risk -- Control Risk -- Audit Risk -- Planning the Audit Project -- Quality of the Internal Control Framework -- Competence of Management -- Complexity of Transactions -- Liquidity of Assets -- Ethical Climate and Employee Morale -- Auditor Understanding of the Applicable Laws and Regulations That Affect the Scope, Evidence Collection and Preservation, and Frequency of Audits -- Evidence Collection Techniques -- Audit Techniques -- Automated Audit Tools -- Domain 1 - Examination Tips -- Domain 1 - Practice Questions -- Domain One - Review Questions and Hands-On Exercise -- Domain 1 - Answers to Practice Questions -- Exercise 1 Sample Answer. Chapter 3 Domain 2 - Governance and Management of IT -- Governance in General -- IT Architecture -- IT Policies and Standards -- Project Management -- Role of the Project Management Office (PMO) -- Resource Management -- Project Planning -- Function Point Analysis -- Project Tracking and Oversight -- Project Management Tools -- GANTT or Bar Charts -- Program Evaluation Review Techniques (Also Known as a Network Diagram) -- Critical Path Method -- Timebox Management -- Management of Resource Usage -- Auditor's Role in the Project Management Process -- Audit Risk Assessment -- Audit Planning -- Domain 2 - Practice Questions -- Domain 2 - Review Questions and Hands-on Exercise -- Exercise 2 - Audit of Customer Receivables -- You are required to: -- Exercise 2 Sample Answer -- Domain 2 - Answers to Practice Questions -- Chapter 4 Domain 3 - Information Systems Acquisition, Development, and Implementation -- Systems Acquisition -- Cloud-Based Systems Acquisition -- Systems Development -- The SDLC -- The Iterative Model -- Prototyping and Rapid Application Development (RAD) -- Agile Methodologies -- Lean Methodology -- Systems Implementation -- Systems Maintenance Review -- Domain 3 - Practice Questions -- Domain 3 - Review Questions and Hands-On Exercise -- Exercise 3 -- Required -- Exercise 3 Sample Answer -- Domain 3 - Answers to Practice Questions -- Chapter 5 Domain 4 - Information Systems Operations, Maintenance, and Service Management -- Hardware -- CPU -- Peripherals -- Memory -- Computer Types -- Networks -- Storage -- Communications -- Input -- Output -- Control -- Systems Software -- Auditing Operating Systems -- People -- Job Scheduling -- System Interfaces -- Frameworks -- ITIL -- Change Management -- Change Management in the Use of Cloud-Based Applications -- Problem Management -- Auditing Change Control -- Service Management. Disaster Recovery Planning -- Auditing Service Delivery -- Domain 4 - Practice Questions -- Domain 4 - Review Questions and Hands-On Exercise -- Exercise 4 -- Exercise 4 Sample Answer -- Domain 4 - Answers to Practice Questions -- Chapter 6 Domain 5 - Protection of Information Assets -- Protection of Information Assets -- Privacy Principles -- Design, Implementation, Maintenance, Monitoring, and Reporting of Security Controls -- Physical and Environmental Controls and Supporting Practices for the Protection of Information Assets -- Physical Access Controls for the Identification, Authentication, and Restriction of Users -- Environmental Controls -- Logical Access Controls for the Identification, Authentication, and Restriction of Users -- Risk and Controls Associated with Virtualization of Systems -- Risks and Controls Associated with the Use of Mobile and Wireless Devices -- Voice Communications Security -- Network and Internet Security Devices, Protocols, and Techniques -- Configuration, Implementation, Operation, and Maintenance of Network Security Controls -- Encryption-Related Techniques and Their Uses -- Public Key Infrastructure (PKI) Components and Digital Signature Techniques -- Peer-to-Peer Computing, Instant Messaging, and Web-Based Technologies -- Data Classification Standards Related to the Protection of Information Assets -- Storage, Retrieval, Transportation, and Disposal of Confidential Information Assets -- Data Leakage -- Risks in End-User Computing -- Implementing a Security Awareness Program -- Information System Attack Methods and Techniques -- Prevention and Detection Tools and Control Techniques -- Malware -- Phishing -- Pharming -- Password Attacks -- Denial of Service (DoS) Attacks -- 'Man in the Middle' (MITM) attacks -- Drive-By Downloads -- Rogue Software -- Ransomware -- Spyware and Adware -- Social Engineering. Security Testing Techniques -- Penetration Testing and Vulnerability Scanning -- Monitoring and Responding to Security Incidents -- Forensic Investigation and Procedures in Collection and Preservation of the Data and Evidence -- Domain 5 - Practice Questions -- Domain 5 - Review Questions and Hands-On Exercise -- Exercise 5 -- Exercise 5 Sample Answer -- Domain 5 - Answers to Practice Questions -- Chapter 7 Preparing for the Examination -- Appendix A: Glossary of Terms -- Appendix B: CISA Sample Examination - Choose Any 150 Questions -- Appendix C: Sample Examination Answers -- Index. EBL202104 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6388574 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2762903 BOOK MIGRATED 2762864 SzGeCERN 20210421183848.0 9780128243381 electronic version electronic version 9780128243374 print version oai:cds.cern.ch:2762864 cerncds:BOOK EBL 6377045 eng TK3105 .T663 2020 621.31 Tomar, Anuradha Advances in smart grid power system network, control and security San Diego, CA Elsevier Science & Technology 2020 406 p ebook Front Cover -- Advances in Smart Grid Power System -- Advances in Smart Grid Power System -- Copyright -- Contents -- Contributors -- 1 - An introduction to the smart grid-I -- 1. Introduction -- 2. Traditional power system model -- 3. Smart grid framework -- 3.1 Bulk-generation domain -- 3.2 Transmission domain -- 3.3 Distribution domain -- 3.4 The customer domain -- 3.5 Market domain -- 3.6 Service provider domain -- 3.7 Operations domain -- 4. Smart grid-infrastructure and technologies -- 4.1 Smart information system -- 4.2 Automatic meter infrastructure -- 4.3 Phasor measurement unit and sensors -- 4.4 Smart grid communication -- 4.5 Information management -- 4.6 Smart grid protection system -- 5. Energy storage technologies -- 5.1 Chemical or electrochemical storage system -- 5.1.1 Sodium sulfur battery -- 5.1.2 Sodium nickel chloride battery -- 5.1.3 Vanadium redox flow battery -- 5.1.4 Zinc bromine battery -- 5.1.5 Lithium-ion battery -- 5.1.6 Lead-acid batteries -- 5.2 Supercapacitors -- 5.3 Mechanical storage systems -- 5.3.1 Pumped hydro storage system -- 5.3.2 Flywheel storage system -- 5.3.3 Compressed-air energy storage system -- 5.4 Hybrid energy storage -- 5.5 Electric vehicles -- 6. Smart grid-advantages -- 6.1 Environmental concerns and reduced emission -- 6.2 Energy conservation -- 6.3 Competitive price of energy -- 7. Smart grid technical issues and challenges -- 7.1 Interconnection issues and bidirectional power flow -- 7.2 Cybersecurity and privacy issues -- 7.3 Information technology and database management -- 7.4 Competitive pricing -- 7.5 Regulatory issues -- 8. Conclusion -- References -- 2 - An introduction to the smart grid-II -- 1. Introduction -- 2. Energy management system -- 2.1 Components of energy management system -- 3. Demand/load-side management -- 4. Case study. 5. Differences between past, present, and future grids -- 6. Conclusion -- References -- 3 - Smart grid power system -- 1. Introduction -- 2. Dispersed generation -- 3. Dispersed-generator technologies -- 3.1 Photovoltaic cell (solar power generation) -- 3.2 Wind power generation -- 3.3 Fuel cell -- 4. Dispersed-generator types -- 5. Benefits of renewable energy source-based dispersed generation -- 5.1 Technical benefits -- 5.2 Economic benefits -- 5.3 Environmental benefits -- 6. Challenges in renewable energy source-based dispersed generator integration -- 6.1 Power quality issues -- 6.2 Availability of power -- 6.3 Variable power generation -- 6.4 Speed of variation -- 6.5 Power generation forecasting -- 6.6 Renewable energy source location -- 6.7 Cost of integrating renewable energy sources -- 6.8 Protection challenges -- 7. Storing energy for renewable energy sources -- 7.1 Batteries -- 7.1.1 Lead-acid battery -- 7.1.2 Lithium-ion battery -- 7.1.3 Redox-flow battery -- 7.1.4 Sodium-sulfur battery -- 7.2 Pumped hydro storage -- 7.3 Compressed-air energy storage -- 7.4 Flywheel energy storage -- 7.5 Superconducting magnetic-energy storage -- 7.6 Supercapacitors -- 8. Small-scale renewable energy sources -- 9. Reliability of distribution network in presence of dispersed generators -- 10. Concluding remarks -- References -- 4 - An introduction to smart grid and demand-side management with its integration with renewable energy -- 1. Introduction -- 1.1 The need for smart grids and demand-side management -- 1.2 Demand-side management -- 1.3 Demand response -- 2. Integration of demand-response programs with smart grids -- 2.1 Smart grid architecture -- 2.2 Smart grid and demand response: benefits and features -- 3. Influence of demand response on smart grids -- 3.1 Introduction to load shifting. 3.2 Demand-response programs and load shifting (a case study) -- 4. Smart grid scenario in the Indian power market -- 4.1 Smart grid scenario in India -- 4.2 Strategy to implement smart grids in India (a case study) -- 5. Renewable energy resources in India (a case study) -- 6. Biopower -- 7. Small-scale hydropower -- 8. Energy storage -- 9. Conclusion -- References -- Further reading -- 5 - Approaches to smart grid network communication and security -- 1. Introduction -- 2. Review of communication and optimal power flow in smart grids -- 2.1 The smart grid optical communication network -- 3. Smart grid communications integrity -- 3.1 Privacy concerns with smart grids -- 3.2 Hacking of smart grids -- 3.3 Emerging wireless communication technologies for smart grids -- 3.4 Cognitive radio-based smart grid communications -- 3.5 Big data, privacy, and security in smart grids -- 3.6 Attacking smart grid network communications -- 3.7 Data analytics in smart grids -- 3.8 Supervised and unsupervised learning algorithms for smart grids -- 4. Feasibility study of all-dielectric self-supporting cable networking for smart grid infrastructure -- 4.1 Evaluation of hardware compatibility for smart grid networks -- 4.2 Mathematical modeling -- 4.2.1 Constraints -- 4.2.1.1 Equality constraints -- 4.2.1.2 Inequality constraints -- 4.2.2 Objective function -- 5. Finite element analysis results of proposed all-dielectric self-supporting networking hardware -- 6. Optimal power flow test systems vis-à-vis simulation results -- 6.1 Fuel cost minimization -- 6.2 Minimization of transmission line losses -- 7. Summaries and future scope of work -- Appendix -- Acknowledgments -- References -- 6 - Internet of Things for smart grid applications -- 1. Introduction to the Internet of Things -- 1.1 Deployments in the real world -- 2. Internet of Things protocols. 2.1 Internet of Things network protocols -- 2.2 Internet of Things data protocols -- 3. Implementation -- 3.1 Pole-to-pole detection -- 3.1.1 Tension and conductor icing -- 3.2 Transformer protection -- 3.3 Spur line monitoring -- 4. Smart grid applications -- 5. Cybersecurity -- 5.1 Blockchain-based secure mechanism for security with smart grid -- 5.2 Key aspects of blockchain -- 5.3 Internet of Things-enabled blockchain for secure scenarios -- 5.3.1 Protection to the device -- 6. Conclusion -- References -- Further reading -- 7 - Smart grid modernization using Internet of Things technology -- 1. Smart grid design challenges -- 1.1 Chapter organization -- 2. Smart grid control infrastructure -- 2.1 Smart applications of smart internet of things in smart network grid [1] -- 2.2 Internet of things-based smart choice low-power wide area network [2] -- 2.3 Condition oriented preservation and smart grid life-cycle administration [3] -- 2.4 Internet of things-related smart network grid automation system [4] -- 2.5 Design of internet of things-based smart energy metering [5] -- 3. Road map from smart grid to Internet of Energy concept -- 3.1 Superior metering infrastructure and smart metering using internet of energy -- 3.2 Internet of things plug-ins and disaster prevention -- 3.3 Security provision in smart network grid -- 3.4 Internet of things in micronetwork grid-distributed energy sources -- 3.5 Information and Communication Technology in the smart network grid -- 3.6 Internet of things protocols designed for smart network grid applications -- 4. Conclusion -- References -- Further reading -- 8 - Grid integration of single stage solar photovoltaic system using the exponential-based variable-step-size least ... -- 1. Introduction -- 2. Proposed three-phase three-wire solar photovoltaic system -- 3. Control technique. 3.1 Incremental conductance-based maximum power point tracking technique -- 3.2 Exponential-based variable-step-size least mean square based control technique -- 3.2.1 Existing least mean square algorithm -- 3.2.2 Exponential-based variable-step-size least mean square adaptive algorithm -- 3.3 Exponential-based variable-step-size least mean square control technique -- 3.3.1 Extraction of unit vector using unit template -- 3.3.2 Extraction of weight of fundamental active component of load current -- 3.3.3 Fundamental weight extraction of load current -- 3.3.4 Estimation of switching signals using a hysteretic pulse width modulation controller with a three-phase voltage-source conv ... -- 3.4 Design parameters -- 3.4.1 DC bus capacitor voltage selection -- 3.4.2 DC bus capacitor selection -- 3.4.3 AC inductor selection -- 3.4.4 Ripple filter selection -- 3.4.5 Selection of voltage and current ratings -- 4. Results -- 4.1 MATLAB-simulink results for normal condition -- 4.2 MATLAB-simulink results for unbalanced nonlinear load -- 4.3 MATLAB-simulink results under changing atmospheric conditions -- 4.4 Total harmonic distortion analysis -- 5. Conclusion -- Appendix -- References -- 9 - Environmental and technoeconomic aspects of distributed generation -- 1. Introduction -- 2. Impact of centralized generation on the environment -- 3. What is driving distributed generation? -- 4. Environmental issues related to distributed generation -- 4.1 Environmental impacts of solar power plants -- 4.2 Characteristics of the installation and operation of solar power plants -- 4.3 Environmental impact metrics -- 4.4 Land use -- 4.5 Human health and well-being -- 4.6 Wildlife and habitat -- 4.7 Climate and greenhouse gas emissions -- 4.8 Geohydrologic resources -- 4.9 Environmental impacts of wind power plants. 4.10 Greenhouse gas emissions in the case of wind power plants. EBL202104 XX SzGeCERN BOOK Kandari, Ritu https://cds.cern.ch/auth.py?r=EBLIB_P_6377045 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2762864 BOOK MIGRATED 2762855 SzGeCERN 20210421183848.0 9781785007804 electronic version electronic version 9781785007798 print version oai:cds.cern.ch:2762855 cerncds:BOOK EBL 6372200 eng TJ262 .C368 2020 621.4025 Cantor, John Heat pumps for the home 2nd ed. La Vergne Crowood 2020 270 p ebook Intro -- Title -- Copyright -- Contents -- Introduction -- CHAPTER 1 - HEAT PUMPS IN CONTEXT -- CHAPTER 2 - UNDERSTANDING HEAT -- CHAPTER 3 - THE PRINCIPLE OF HOW A HEAT PUMP WORKS -- CHAPTER 4 - METHODS OF PUMPING HEAT -- CHAPTER 5 - EXTRACTING HEAT - THE SOURCE -- CHAPTER 6 - UTILIZING THE HEAT -- CHAPTER 7 - HEATING HOUSES -- CHAPTER 8 - ENERGY EFFICIENCY OF HEAT-PUMP SYSTEMS -- CHAPTER 9 - THE CONTROL SYSTEM -- CHAPTER 10 - ENVIRONMENTAL ISSUES -- CHAPTER 11 - ECONOMICS AND GETTING A SYSTEM INSTALLED -- CHAPTER 12 - TYPICAL INSTALLATIONS - CASE STUDIES -- CHAPTER 13 - COMMON MYTHS AND MISCONCEPTIONS -- Appendix I COPs of Ground Source -- Appendix II COPs of Air Source -- Appendix III Real-Test Data of Air Source -- Appendix IV What Goes on Inside a Heat Pump -- Useful Information -- Glossary -- Abbreviations and Useful Websites -- Index. EBL202104 XX SzGeCERN BOOK Harper, Gavin D J https://cds.cern.ch/auth.py?r=EBLIB_P_6372200 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2762855 BOOK MIGRATED 2762843 SzGeCERN 20210421183848.0 9780128200735 electronic version electronic version 9780128200728 print version oai:cds.cern.ch:2762843 cerncds:BOOK EBL 6371116 eng TJ810 .G467 2021 621.47 Ghosh, Srabanti Heterostructured photocatalysts for solar energy conversion San Diego, CA Elsevier 2020 386 p ebook Solar cell engineering Front Cover -- Heterostructured Photocatalysts for Solar Energy Conversion -- Heterostructured Photocatalysts for Solar Energy Conversion -- Copyright -- Contents -- Contributors -- About editor -- Preface -- Acknowledgments -- 1 - Heterogeneous photocatalysis: Z-scheme based heterostructures -- 1.1 Introduction -- 1.2 Types of heterostructures -- 1.3 Z-scheme heterostructures -- 1.3.1 Application of Z-scheme heterostructure in photocatalysts -- 1.3.1.1 Water splitting -- 1.3.1.2 Photocatalytic removal of pollutants -- 1.3.1.3 Photocatalytic CO2 reduction -- 1.4 Conclusion -- References -- 2 - Atomic and electronic structure of direct Z-scheme photocatalyst: from fundamentals to applications -- 2.1 Introduction -- 2.2 What is direct Z-scheme photocatalyst? -- 2.3 Advantages -- 2.3.1 Spatial separation of reduction and oxidation site -- 2.3.2 Acceleration of charge carrier migration -- 2.3.3 Optimization of REDOX ability -- 2.3.4 Improvement in photostability -- 2.4 Applications -- 2.4.1 Photocatalytic hydrogen production -- 2.4.2 Photocatalytic CO2 reduction -- 2.4.3 Photocatalytic dinitrogen fixation -- 2.4.4 Photocatalytic bacteria disinfection -- 2.4.5 Photocatalytic dye degradation -- 2.5 Conclusion and future perspectives -- Acknowledgments -- References -- 3 - Photocatalytic hydrogen generation using Z-scheme heterostructures through water reduction -- 3.1 Introduction -- 3.2 Fundamentals of photocatalytic water splitting -- 3.3 Natural Z-scheme photosynthesis -- 3.4 Artificial Z-scheme water splitting -- 3.4.1 Liquid phase Z-scheme water splitting -- 3.4.1.1 IO3-/I- Redox shuttle -- 3.4.1.2 Fe3+/Fe2+ redox shuttle -- 3.4.2 All-solid-state Z-scheme water splitting -- 3.4.2.1 Metals -- 3.4.2.2 Graphene oxide -- 3.4.2.3 Conductive carbon -- 3.4.3 Direct Z-scheme water splitting -- 3.5 Photocatalysts for half-reactions. 3.5.1 Oxygen evolution -- 3.5.2 Hydrogen evolution -- 3.6 Conventional vs. Z-scheme water splitting in heterostructures -- 3.7 Conclusions -- References -- 4 - Photocatalytic Z-scheme water splitting -- 4.1 Introduction -- 4.2 Z-scheme water splitting with redox mediators -- 4.2.1 Development of HEP in redox-mediator-based Z-scheme water splitting -- 4.2.1.1 Cation-doped oxide photocatalysts -- 4.2.1.2 (Oxy)nitride photocatalysts -- 4.2.1.3 (Oxy)sulfide photocatalysts -- 4.2.1.4 Dye-sensitized photocatalysts -- 4.2.2 Development of OEP in redox mediator-based Z-scheme water splitting -- 4.2.2.1 WO3 photocatalyst -- 4.2.2.2 BiVO4 photocatalyst -- 4.2.2.3 (Oxy)nitride photocatalysts -- 4.2.2.4 Oxyhalide photocatalysts -- 4.2.2.5 Photosystem II (PSII) enzyme photocatalysts -- 4.2.3 Development of redox mediator in Z-scheme water splitting -- 4.3 Z-scheme water splitting without redox mediators -- 4.3.1 Redox-mediator-free Z-scheme (direct Z-scheme) -- 4.3.2 Solid-state mediators -- 4.3.3 Particulate photocatalytic sheet -- 4.4 Conclusion -- References -- 5 - Z-scheme-based heterostructure photocatalysts for organic pollutant degradation -- 5.1 Introduction -- 5.2 Classification and structure of Z-scheme photocatalytic systems -- 5.2.1 Traditional Z-scheme photocatalysts -- 5.2.2 All-solid-state Z-scheme photocatalysts -- 5.2.3 Direct Z-scheme photocatalysts -- 5.3 Summary and prospects -- ACKNOWLEDGMENTS -- References -- 6 - All-solid-state Z-scheme systems for photocatalytic CO2 reduction -- 6.1 Introduction -- 6.2 Basic principles of the Z-scheme reduction of CO2 -- 6.3 All-solid-state Z-scheme photocatalytic CO2 reduction system -- 6.3.1 Indirect Z-scheme photocatalyst system -- 6.3.1.1 Metallic NPs as a conductor -- 6.3.1.2 Nonmetallic materials as a conductor -- 6.3.2 Direct Z-scheme photocatalyst system. 6.3.2.1 Factors affecting CO2 reduction performance -- 6.3.2.2 Verification of the direct Z-scheme mechanism -- 6.4 Summary and outlook -- ACKNOWLEDGMENTS -- References -- 7 - TiO2 based Z-scheme photocatalysts for energy and environmental applications -- 7.1 Introduction -- 7.2 Mechanism of Z-scheme photocatalysis -- 7.3 Photocatalytic hydrogen production -- 7.3.1 Principles of water-splitting -- 7.4 Carbon dioxide (CO2) conversion -- 7.5 Degradation of pollutants -- 7.6 Summary -- References -- 8 - Bismuth-based heterostructured photocatalysts -- 8.1 Introduction -- 8.2 Bi-based semiconductors as photocatalysts -- 8.2.1 Bi-based oxide -- 8.2.2 Bi-based vanadate -- 8.2.3 Bi-based chalcogenide -- 8.2.4 Bi-based halide -- 8.3 Bi-based Z-scheme photocatalytic system -- 8.3.1 Liquid‐phase Z‐scheme photocatalytic system -- 8.3.2 All‐solid‐state Z‐scheme photocatalytic system -- 8.3.3 Direct Z‐scheme photocatalytic system -- 8.4 Applications of Bi‐based Z‐scheme photocatalysts -- 8.4.1 Organic pollutant degradation -- 8.4.2 Water splitting (H2 and O2 generation) -- 8.4.3 CO2 reduction -- 8.4.4 Other applications -- 8.5 Conclusion and future prospect -- References -- 9 - Development of graphitic carbon nitride-based Z-scheme photocatalysts -- 9.1 Introduction -- 9.1.1 Direct Z-scheme photosystems -- 9.1.2 Indirect Z-scheme photosystems -- 9.1.2.1 Liquid phase Z-scheme heterosystems -- 9.1.2.2 All-solid-state Z-scheme heterosystems -- 9.2 Photocatalytic CO2 reduction using g-C3N4-based Z-scheme heterojunctions -- 9.3 Photocatalytic H2 production using g-C3N4-based Z-scheme heterojunctions -- 9.4 Photocatalytic degradation of pollutants using g-C3N4-based Z-scheme heterojunctions -- 9.5 Miscellaneous applications of g-C3N4-based Z-scheme heterojunctions -- 9.6 Conclusion and outlook -- References -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- K. L -- M -- N -- O -- P -- R -- S -- T -- U -- V -- W -- X -- Z -- Back Cover. EBL202104 XX SzGeCERN EBL Photocatalysis EBL Energy conversion BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6371116 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2762843 BOOK MIGRATED 2762842 SzGeCERN 20210421183849.0 9780444643346 electronic version electronic version 9780444643339 print version oai:cds.cern.ch:2762842 cerncds:BOOK EBL 6371113 eng TK2901 .A735 2021 621.31242 Arai, Hajime Electrochemical power sources metal-air batteries present and perspectives San Diego, CA Elsevier 2020 272 p ebook Front Cover -- Electrochemical Power Sources: Fundamentals, Systems, and Applications -- Electrochemical Power Sources: Fundamentals, Systems, and Applications -- Copyright -- Contents -- Contributors -- Series overview -- 1 - Introduction-general features of metal-air batteries -- 1.1 Concept -- 1.1.1 Basics -- 1.1.2 Classification -- 1.2 Main components -- 1.2.1 Metal electrode -- 1.2.2 Electrolyte -- 1.2.3 Air electrode -- 1.2.4 Separator -- 1.2.5 Subsystem -- 1.3 Performances -- References -- 2 - Components: metal-air batteries -- 2.1 Metal anodes -- 2.1.1 Aqueous system -- 2.1.1.1 Zinc (Zn) -- 2.1.1.1.1 Zinc for primary batteries -- 2.1.1.1.2 Zinc for secondary batteries -- 2.1.1.2 Iron (Fe) -- 2.1.1.3 Magnesium (Mg) -- 2.1.1.4 Aluminum (Al) -- 2.1.2 Nonaqueous system -- 2.1.2.1 Lithium (Li) -- 2.1.2.2 Sodium (Na) -- 2.2 Air cathodes -- 2.2.1 Air electrode in a Zn-air primary battery -- 2.2.2 Air electrode in a Zn-air secondary battery -- 2.2.3 O2 electrodes in Li-O2 batteries -- 2.3 Electrolytes -- 2.3.1 Aqueous system -- 2.3.2 Nonaqueous system -- References -- 3 - Primary zinc-air batteries -- 3.1 General overview -- 3.2 History -- 3.3 The electrochemistry behind ZABs -- 3.3.1 Zinc electrode -- 3.3.2 Air electrode -- 3.4 Safety and environmental impact -- 3.5 Summary and outlook -- References -- 4 - Alternative chemistries in primary metal-air batteries -- 4.1 A general overview of primary metal-air batteries -- 4.1.1 Introduction -- 4.1.2 Aqueous metal-air batteries -- 4.1.2.1 Electrochemical processes -- 4.1.2.2 Self-corrosion of anode -- 4.1.2.3 Metallurgical factors in corrosion -- 4.1.3 Nonaqueous metal-air batteries -- 4.1.4 ORR catalysts and gas diffusion cathodes -- 4.2 Magnesium-air batteries -- 4.2.1 History -- 4.2.2 Mg-air battery and Mg electrochemistry -- 4.2.3 Anodes for Mg-air batteries. 4.2.4 Electrolyte additives for Mg-air batteries -- 4.2.5 Air electrodes for Mg-air batteries -- 4.3 Aluminum-air batteries -- 4.3.1 History -- 4.3.2 Al-air battery and the Al electrochemistry -- 4.3.3 Anodes for Al-air batteries -- 4.3.4 Air electrodes for Al-air batteries -- 4.3.5 Electrolytes for Al-air batteries -- 4.3.5.1 Aqueous electrolyte -- 4.3.5.2 Nonaqueous electrolyte -- 4.4 Silicon-air batteries -- 4.4.1 Aqueous electrolyte -- 4.4.2 Nonaqueous electrolyte -- 4.5 Challenges and perspectives -- References -- 5 - Secondary aqueous zinc-air battery-Electrically rechargeable -- 5.1 Introduction -- 5.2 Cell design -- 5.3 Zinc electrode -- 5.3.1 Shape change of the zinc electrode -- 5.3.2 Formation of zinc dendrites -- 5.3.3 Influencing the shape of metallic zinc deposits -- 5.3.4 Electrode design -- 5.4 Separator -- 5.5 Oxygen/air electrodes -- 5.6 Summary and outlook -- References -- 6 - Secondary zinc-air batteries - mechanically rechargeable -- 6.1 Introduction -- 6.2 Zinc solubility in the alkaline electrolyte of mechanically rechargeable systems -- 6.3 Zinc-air batteries with slurry electrodes -- 6.3.1 Characteristics of zinc slurry electrodes -- 6.3.2 Development at Compagnie Générale d'Electricité (CGE) -- 6.3.3 Activity at the continental Group, Inc., Energy Systems Laboratory (ESL) -- 6.3.4 Technology at Pinnacle Research Institute (PRI) -- 6.4 Zinc-air batteries operated beyond the zincate solubility limit -- 6.5 Zinc-air batteries using a static bed of zinc particles -- 6.5.1 Development at Lawrence Livermore National Laboratory (LLNL) -- 6.5.2 Development at Metallic Power/ZincNyx/MGX renewables -- 6.6 Zinc-air batteries with mechanical recharge at Electric Fuel Limited (EFL) -- 6.7 State of charge determination -- 6.8 Conclusions -- References -- 7 - Secondary lithium and other alkali-air batteries -- 7.1 Introduction. 7.2 Fundamentals of nonaqueous Li-O2 chemistry -- 7.3 Challenges in nonaqueous Li-O2 batteries -- 7.3.1 Highly reactive oxygen species -- 7.3.1.1 Superoxide -- 7.3.1.2 Peroxide -- 7.3.1.3 Singlet oxygen -- 7.4 Electrochemically "irreversible" products -- 7.5 The unstable lithium anode -- 7.6 Developments in nonaqueous Li-O2 batteries -- 7.6.1 Electrolytes -- 7.6.1.1 Solvent design with hydrogen-site substitution -- 7.6.1.2 Concentrated electrolytes -- 7.6.1.3 Inorganic molten salts -- 7.6.1.4 Ionic liquids -- 7.6.2 Cathode host materials -- 7.6.2.1 Surface-coated carbon cathodes -- 7.6.2.2 Noncarbonaceous cathodes -- 7.6.2.3 "Closed" systems that operate without oxygen ingress or egress -- 7.6.3 Catalysts -- 7.6.3.1 Heterogeneous catalysts -- 7.6.3.2 Homogeneous catalysts -- 7.6.4 Anodes -- 7.6.4.1 Anode protection -- 7.6.4.2 Alternative anode materials -- 7.7 Aqueous Li-O2 batteries -- 7.7.1 Battery chemistry and challenges -- 7.7.2 Solid electrolytes -- 7.7.3 Electrocatalysts -- 7.7.4 Cell design -- 7.8 The important sister systems -- 7.8.1 Sodium-oxygen batteries -- 7.8.2 Potassium-oxygen batteries -- 7.9 Conclusions and outlook -- References -- 8 - Other secondary metal-air batteries -- 8.1 Alternative secondary metal-air batteries-aqueous -- 8.1.1 General overview of alternative aqueous secondary metal-air batteries -- 8.1.1.1 Fe-air secondary batteries -- 8.1.1.2 Aqueous metal hydride-air batteries -- 8.1.1.3 Vanadium-air secondary batteries -- 8.1.1.4 Metal-air secondary batteries with hybrid electrolytes -- 8.2 Alternative secondary metal-air batteries-non-aqueous -- 8.2.1 General overview of alternative nonaqueous secondary metal-air batteries -- 8.2.1.1 Al-air secondary battery -- 8.2.1.2 Ca-air secondary battery -- 8.2.1.3 Solid oxide Fe-air secondary battery -- 8.2.1.4 Oxygen shuttle type solid oxide metal-air battery -- 8.3 Outlook. References -- 9 - Modeling and simulation of metal-air batteries -- 9.1 Introduction -- 9.2 Multiscale modeling methods for metal-air batteries -- 9.2.1 Thermodynamic models of chemical and electrochemical equilibrium -- 9.2.2 Density functional theory -- 9.2.3 Molecular dynamics -- 9.2.4 Lattice Boltzmann method -- 9.2.5 Volume-averaged continuum modeling -- 9.3 Computational materials screening -- 9.3.1 ORR and OER catalysts -- 9.3.2 Metals and metal oxides -- 9.3.3 Electrolytes and additives -- 9.4 Model-based electrode and cell design -- 9.4.1 Metal electrodes -- 9.4.2 Air electrodes -- 9.4.3 Cell and system design -- 9.5 Summary and outlook -- References -- 10 - Applications and markets -- 10.1 Introduction -- 10.1.1 Principles of the applicability of electrochemical systems -- 10.1.2 Link between cell properties and application requirements -- 10.1.2.1 Important cell properties (cell level) -- 10.1.2.2 Important battery requirements (module level) -- 10.1.2.3 Relations between the two parameter sets -- 10.1.3 Operating principles -- 10.1.4 Hybrid solutions using other electrochemical systems -- 10.2 Applications -- 10.2.1 Applications for primary batteries -- 10.2.1.1 Zn-air hearing aids -- 10.2.1.2 Aluminum-air batteries -- 10.2.1.3 Magnesium-air batteries -- 10.2.2 Applications for secondary batteries, mechanically refuelable -- 10.2.2.1 Electric Fuel Ltd. -- 10.2.2.2 Zoxy -- 10.2.3 Applications for secondary batteries, electrically charged -- 10.2.3.1 Zinium -- 10.2.3.2 Zinc8 -- 10.2.4 Other companies -- 10.2.4.1 Eos -- 10.2.4.2 ReVolt -- 10.2.4.3 NantEnergy (Fluidic Energy). -- 10.3 Introduction availability, environmental, costs, recycling, safety -- 10.3.1 Material availability and environmental aspects -- 10.3.2 Costs -- 10.3.2.1 Material costs -- 10.3.2.2 Production costs -- 10.3.2.3 Operating costs -- 10.3.2.4 Recycling costs. 10.3.3 Safety -- 10.4 Market: portable and stationary -- 10.4.1 Market for portable batteries -- 10.4.2 Market for electric vehicle batteries -- 10.4.3 Market for stationary batteries -- 10.5 Conclusion and outlook -- References -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- L -- M -- N -- O -- P -- R -- S -- T -- V -- W -- X -- Z -- Back Cover. EBL202104 XX SzGeCERN EBL Electric batteries BOOK Garche, Jürgen Colmenares, Luis C https://cds.cern.ch/auth.py?r=EBLIB_P_6371113 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2762842 BOOK MIGRATED 2762797 SzGeCERN 20210421183850.0 9781536169447 electronic version electronic version 9781536169430 print version oai:cds.cern.ch:2762797 cerncds:BOOK EBL 6368894 eng TK2896 .E547 2020 621.042 Singh, Rajesh Energy harvesting technologies for powering wpan and iot devices for industry 4.0 up-gradation New York Nova Science Publishers 2020 255 p ebook Renewable energy research, development and policies Intro -- Contents -- Preface -- Acknowledgments -- Chapter 1 -- Low Power Renewable Power Supply through Thermo Electric Generators -- Abstract -- Nomenclature -- Introduction -- Types of Renewable Energy Systems -- Solar Energy -- Vibration Energy -- Heat Energy -- Radio Frequency (RF) Energy -- Wind Energy -- Hybrid Energy -- Autonomous Power Supply System -- Description of Thermo Electric Generators -- Types of Thermo Electric Materials for Electrical Energy -- Working Principal -- Performance Evaluation -- Conclusion -- References -- Chapter 2 -- Techno-Economic Analysis of Hybrid Optimization Model: A Case Study -- Abstract -- List of Abbreviations -- 1. Introduction -- 2. Hybrid Renewable Energy System -- 2.1. Solar Energy System -- 2.2. Biomass Energy System -- 2.3. Energy Storage Energy System -- 3. HOMER Software -- Power Sources -- Storage -- 4. Case Study -- 4.1. Methodology -- 4.2. Case 1: Solar Energy System -- 4.3. Case 2: Biomass Energy System -- 4.4. Case 3: Hybrid Energy System -- 5. Results and Discussion -- 5.1. Case 1 Solar Energy System -- 5.1.1. Optimization Analysis -- 5.1.2. Sensitivity Analysis -- 5.2. Case 2: Biomass Energy System -- 5.2.1. Optimization Analysis -- 5.2.2. Sensitivity Analysis -- 5.3. Case 3: Hybrid Energy System -- 5.3.1. HOMER Optimization Results -- 5.3.2. HOMER Sensitivity Analysis -- 5.4. Comparison of Individual and Hybrid Models -- Conclusion -- References -- Chapter 3 -- Development of Solar Energy Harvesting Mechanism to Power Up Sensor Node to Monitor the Parameters of Pipeline Using XBee Technology -- Abstract -- 1. Introduction -- 2. Review of Literature -- 2.1. Energy Harvesting Sources -- 2.1.1. Solar Energy -- 2.1.2. Radiant Energy -- 2.1.3. Radio Frequency Energy -- 2.1.4. Mechanical Energy -- 2.1.5. Thermal Energy -- 2.2. Hybrid Energy-Harvesting Systems. 2.2.1. Solar/Thermal Systems -- 2.2.2. Solar/Thermal/Electromagnetic Systems -- 3. Proposed Architecture of Solar Energy System for Pipeline Monitoring -- 3.1.1. Monitoring Section -- 3.1.2. Safety Operation Controller -- 3.1.3. LoRa and Zigbee Protocols -- 4. Research Challenges -- 4.1. Hybrid Harvester -- 4.2. Miniaturization of Systems -- 4.3. Efficient Prediction Techniques -- 4.4. Self-Healing Sensor Nodes -- 4.5. Energy Storage -- 4.6. Theft Control -- Conclusion -- References -- Chapter 4 -- Mathematical Modeling and Principle of Wireless Communication -- Abstract -- Challenges for Wireless Communication -- How to Develop the Model for Wireless Communication Channel -- Transmitted Signal in WCS -- Narrow Band Assumption -- Diversity -- Analysis of BER of Multiple Receive Antenna -- Appendix -- References -- Chapter 5 -- An IoT Enabled Integrated Framework for Solar Energy Harvesting in Wireless Sensor Nodes over LoRa -- Abstract -- 1. Introduction -- 2. 0 Energy Harvesting Technicques -- 2.1 Energy Harvesting Architecture Using Solar Cell -- 2.2 Solar Powered Sensor Node Schematics -- 2.3 Solar Powered Local Server Schematics -- 2.4 Gateway Schematics -- 3.0 Optimising Solar Performance -- 4. Conclusion -- 5. References -- Chapter 6 -- Energy Harvesting and Storage -- Abstract -- Energy Harvesting -- Thermal Energy Harvesting -- Solar Energy Harvesting -- Influence of IoT in Yielding Output of Solar Energy -- Energy Storage -- Battery -- Capacitor -- Battery vs. Capacitor -- Power Requirement for Wireless Sensor Devices -- Micro-Batteries and Their Materials -- Results and Conclusion -- References -- Chapter 7 -- Development of RF Energy Harvesting System to Trigger Sprinkler System in a Building for Fire and Safety Uses -- Abstract -- 1. Introduction -- 1.1. Main Contribution in this Chapter -- 2. Related Work. 3. Radio-Frequency Based Energy Harvesting -- 3.1. Dedicated RF sources -- 3.2. Ambient RF Sources -- 4. General Architecture of Energy Harvesters -- 5. Architecture of Building Monitoring -- EDREH 1..N Architecture -- EPDC 1...P Architecture -- SOC 1...Q Architecture -- EDREH 1..N Circuit Diagram -- EPDC 1...P Circuit Diagram -- Gateway Circuit Diagram -- 6. Challenges in Energy Harvesting -- Conclusion -- References -- Chapter 8 -- Street Light Management via Piezoelectric Power Generation -- Abstract -- Introduction -- Review of Literature -- General Architecture of Street Light Management System -- Local Server Data Transfer Architecture -- Results and Discussion -- References -- Chapter 9 -- Development of Solar Assisted Bins Using XBee and LoRa Network for Waste Management Applications -- Abstract -- Introduction -- Prior Art -- Energy Harvesting Techniques -- Radio Frequency Harvesting -- Solar Energy Harvesting -- Thermal Energy Harvesting -- Piezo Electric Harvesting -- Description of System Architecture -- Hardware Description -- (a) Solar-Powered Sensor Node Schematics -- (b) Local Server with XBee and LoRa -- (c) LoRa Gateway with Wi-Fi -- Result and Discussion -- Conclusion -- References -- Chapter 10 -- Low Temperature Transesterification of Algal Oil -- Abstract -- 1. Introduction -- 1.1. World Fossil Energy Scenario -- 1.2. Indian Energy Scenario -- 1.3. Indian Energy Scenario with Respect to Liquid Fuels -- 1.4. Environmental Concerns of Conventional Fuels -- 2. Materials and Method -- 2.1. Experimental Design -- 2.2. Statistical Analysis -- 2.3. Transesterification Reactions -- 2.4. Experimental Set-Up -- 2.5. Base Catalyzed Transesterification -- 2.6. Purification of Biodiesel -- 2.7. GC Analysis -- 3. Results and Discussion -- 3.1. Transesterification Reaction -- 3.2. Effect of Process Variables on Blend Yield. 3.3. Effect of Reaction Variables on biodiesel yield -- 4. Optimization of Parameters -- 4.1. Response Variables Optimization -- 5. Conclusion and Future Scope -- 5.1. Conclusion -- 5.2. Future Scope -- References -- About the Editors -- Index -- Blank Page. EBL202104 XX SzGeCERN EBL Energy harvesting EBL Internet of things-Power supply BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6368894 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2762797 BOOK MIGRATED 2762707 SzGeCERN 20210421183853.0 9781642874587 electronic version electronic version oai:cds.cern.ch:2762707 cerncds:BOOK EBL 6361516 eng HB615 .D473 2020 658.421 Desai, Vasant Project management and entrepreneurship La Vergne Himalaya Publishing House 2020 513 p ebook Cover -- CONTENTS -- Preface -- 1. Introduction -- SECTION 1: PROJECT MANAGEMENT -- 2. Concept of Projects -- 3. Project Formulation -- 4. Project Appraisal -- 5. Project Management -- 6. Post-evaluation Approach -- 7. Project Benefit Monitoring and Evaluation -- SECTION 2: PRODUCT -- 8. Selection and Design of Product -- 9. Demand Forecasting -- SECTION 3: ECONOMIC EVALUATION -- 10. Feasibility Analysis -- 11. Economic Value Addition Analysis -- 12. Break-even Analysis -- 13. Financing a Project -- 14. Environmental Regulations -- 15. Assistance from Financial Institutions -- SECTION 4: PROJECT ANALYSIS -- 16. Project Analysis -- 17. Investment Process -- 18. Term Loan Processing Facilities -- 19. Profitability Analysis -- SECTION 5: PLANNING AND EXECUTION OF PROJECTS -- 20. Location -- 21. Design and Layout -- 22. Project Planning -- 23. Resources Scheduling -- 24. Network Analysis -- 25. Implementing the Programme -- 26. Material Control -- 27. Project Direction, Coordination and Control -- SECTION 6: ENTREPRENEURSHIP -- Top Eight Leaders that CEOs Look up to -- The Leadership Styles -- How Project Millenium is Changing -- The Three Iconic Business Tycoons -- The Legendary Indian Entrepreneurs -- 28. The Concept of Entrepreneurship -- 29. The Enterprise -- 30. Entrepreneurial Qualifications -- 31. The Role of Entrepreneurs. Project management and entrepreneurship are the two faces of a coin, are assuming greater importance in the 90's and are bound to be one of the dominant topics of discussion and study during this millennium. This is as it should be to accelerate the pace of industrialisation as an important plank of economic growth. Successful new business ventures and economic development do not just happen. They are the result of the combination of right environment, planning, effort, and innovation. And this right mix can only be achieved by the entrepreneurs. They provide a clear blueprint for stimulating research, technology, finance to help promote matured enterprises. At the same time, they enrich the eco-system and give a boost to economic growth. They also drive towards top performance maintaining healthy profitability, enhancing shareholder value, responsive to customer needs, delivering products and services of high quality, and ability to thrive in a competitive environment. All in all, it improves sovenance to become value creating enterprises with a strong leadership combined with a well communicated vision, a focused strategy, a clear sompetence profile, customer satisfaction and investing in organisational excellence. The unique book has been designed for performing entrepreneurs with high potential to be effective project managers / entrepreneurs. To students it strives to provide an upright in sight into project management and entrepreneurship. EBL202104 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6361516 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2762707 BOOK MIGRATED 2762642 SzGeCERN 20210421183855.0 9781402051722 electronic version electronic version 9781402051708 print version oai:cds.cern.ch:2762642 cerncds:BOOK EBL 6360957 eng QD547 .C663 2006 541.33 Loureiro, José M Combined and hybrid adsorbents fundamentals and applications Dordrecht Springer 2006 371 p ebook NATO security through science series. Series C, environmental security Proceedings of the NATO Advanced Research Workshop on Combined and Hybrid Adsorbents: Fundamentals and Applications, Kiev, Ukraine, 15-17 September 2005. EBL202104 XX SzGeCERN EBL Adsorption-Congresses BOOK Kartel, Mykola T https://cds.cern.ch/auth.py?r=EBLIB_P_6360957 ebook n 202114 21 PUBLIC https://catalogue.library.cern/legacy/2762642 BOOK MIGRATED 2762581 SzGeCERN 20210421183857.0 9781402059032 electronic version electronic version 9781402059025 print version oai:cds.cern.ch:2762581 cerncds:BOOK EBL 6360770 eng TK9152.165 .L363 2005 621.48/38 Lambert, J D B Safety related issues of spent nuclear fuel storage Dordrecht Springer 2007 357 p ebook NATO security through science series. Series C, environmental security Proceedings of the NATO Advanced Research Workshop on Safety Related Issues of Spent Nuclear Fuel Storage, held in Almaty, Kazakhstan, 26-29 September 2005. EBL202104 XX SzGeCERN EBL Radioactive waste disposal-Congresses BOOK Kadyrzhanov, K K https://cds.cern.ch/auth.py?r=EBLIB_P_6360770 ebook n 202114 21 PUBLIC https://catalogue.library.cern/legacy/2762581 BOOK MIGRATED 2762511 SzGeCERN 20210421183900.0 9780444643148 electronic version electronic version 9780444643131 print version oai:cds.cern.ch:2762511 cerncds:BOOK EBL 6357701 eng TJ1075 .S874 2021 621.89 Erdemir, Ali Superlubricity 2nd ed. San Diego, CA Elsevier 2020 575 p ebook Front Cover -- Superlubricity -- Copyright Page -- Contents -- List of Contributors -- Introduction -- 1 Atomistics of superlubricity -- 1.1 Atomistics in tribology -- 1.2 Atomistic origin of friction and superlubricity -- 1.2.1 Friction model -- 1.2.2 Static friction -- 1.2.3 Incommensurate and commensurate contacts -- 1.2.4 Energy dissipation in dynamic friction -- 1.2.5 Friction-phase diagram -- 1.3 Adiabaticity and high dimensionality in superlubric friction model -- 1.4 Summary -- References -- 2 Ab initio insights into graphene lubricity -- 2.1 Introduction -- 2.2 Interlayer shear strength of graphene films -- 2.3 Why graphene coating makes iron slippery? An answer from first principles -- 2.4 Reactive defects destroy graphene lubricity, but humidity can recover it -- References -- 3 Molecular simulation of superlow friction provided by molybdenum disulfide -- 3.1 Tribological aspect of molybdenum disulfide -- 3.2 Decomposition reaction of MoDTC molecule -- 3.3 Formation process of crystalline h-MoS2 -- 3.4 Atomistic mechanism of superlow friction -- 3.5 Influence of oxygen impurities -- 3.6 Friction anisotropy -- 3.7 Superlubricity controlled by structure and property -- References -- 4 Vibration-induced superlubricity -- 4.1 Introduction -- 4.2 Measured methods -- 4.2.1 Dynamic atomic force microscope -- 4.2.2 Excitation methods -- 4.2.3 Bimodal AFM and energy dissipation measured method -- 4.2.4 Different directional energy dissipation of heterogeneous polymers -- 4.2.5 Vibration-induced superlubricity in micro/atomic scale -- 4.2.5.1 Superlubricity on the HOPG surface -- 4.2.5.2 Superlubricity on the polystyrene surface -- 4.3 Summary -- Acknowledgments -- References -- 5 Atomic-scale investigations of ultralow friction on crystal surfaces in ultrahigh vacuum -- 5.1 Introduction -- 5.2 Onset of superlubricity in a sliding point contact. 5.2.1 The Prandtl-Tomlinson model for atomic scale stick-slip -- 5.2.2 The superlubric regime -- 5.3 Experimental evidences of superlubricity -- 5.3.1 Steady case -- 5.3.2 Dynamic case -- 5.3.3 Detecting stick-slip motion of a single molecule -- 5.3.4 Anisotropy and asymmetry effects -- 5.4 Conclusions and outlook -- References -- 6 Structural superlubricity in large-scale heterogeneous layered material junctions -- 6.1 Introduction -- 6.2 Structural superlubricity in homogeneous interfaces -- 6.3 Structural superlubricity in heterojunctions -- 6.3.1 Theoretical research on superlubricity of heterojunctions -- 6.3.2 Superlubricity of heterojunctions on nanoscale -- 6.3.3 Superlubricity of heterojunctions on microscale -- 6.3.4 Strain engineering -- 6.3.5 Effects of surface adsorbates -- 6.3.6 Toward macroscale -- 6.4 Conclusions and challenges -- References -- 7 Structural superlubricity under ambient conditions -- 7.1 Introduction -- 7.2 Nano manipulation experiments via atomic force microscopy -- 7.3 Structural superlubricity of gold nano islands on graphite under ambient conditions -- 7.4 Structural superlubricity of platinum nano islands on graphite under ambient conditions -- 7.5 Perspectives on future work -- References -- 8 Toward micro- and nanoscale robust superlubricity by 2D materials -- 8.1 Introduction -- 8.2 Theoretical prediction of sustainable superlubricity by 2D heterostructures -- 8.3 Achieving robust superlubricity at the nano-, micro-, and macroscale -- 8.4 Suppression of nanoscale wear -- 8.5 Perspectives -- References -- 9 Energy dissipation through phonon and electron behaviors of superlubricity in 2D materials -- 9.1 Introduction -- 9.2 Phonon channel of friction energy dissipation -- 9.2.1 Theory of phononic dissipation -- 9.2.2 Experimental studies of phononic friction. 9.3 Electronic channel of friction energy dissipation -- 9.3.1 Theory of electronic friction -- 9.3.2 Electronic friction in absorbing membrane -- 9.3.3 Electronic friction in noncontact friction -- 9.3.4 Electronic friction in contacting friction -- 9.4 Energy dissipation affected by electron-phonon coupling -- 9.5 Energy dissipation from frictional interface -- 9.5.1 Interlayer interaction -- 9.5.2 Electron energy dissipation and dynamics issues -- 9.5.3 Defect-induced exciton dynamics in 2D materials -- 9.6 Conclusion -- Acknowledgments -- References -- 10 Liquid superlubricity with 2D material additives -- 10.1 Introduction -- 10.2 Lubricant additives of 2D nanomaterials -- 10.3 Superlubricity enabled by the synergy of graphene oxide and ethanediol -- 10.4 Superlubricity enabled by ultrathin layered double hydroxide nanosheets -- 10.5 Superlubricity enabled by the combination of graphene oxide and ionic liquid -- 10.6 Conclusion -- Acknowledgments -- References -- 11 Superlubricity of carbon nitride coatings in inert gas environments -- 11.1 Introduction -- 11.2 Methods for coatings and experiments -- 11.2.1 CNx coatings -- 11.2.2 Experimental apparatus and environmental gases -- 11.3 Superlubricity of CNx coatings sliding against Si3N4 ball or CNx-coated Si3N4 ball in inert gas environment -- 11.4 Low-friction interface in tribological system with CNx coatings -- 11.4.1 Contact interface for low friction in tribological system with CNx coatings -- 11.4.2 Characterization of tribo lm and tribolayer formed on wear scars of the ball -- 11.5 Superlubricity of tribological system with CNx coatings in inert gas environment that contains water and oxygen molecules -- 11.5.1 Effect of relative humidity and oxygen concentration on the friction of Si3N4/CNx in N2 gas atmosphere -- 11.5.2 Tribochemical reaction of CNx coatings with water molecules. 11.5.3 Tribochemical reaction of CNx coatings with oxygen molecules -- 11.5.4 Roles of water and oxygen molecules in generating the low friction of tribological systems with CNx coatings -- 11.6 Control of low-friction interface (tribolayer) by running-in -- 11.7 Summary -- References -- 12 Diamond-like carbon films and their superlubricity -- 12.1 Introduction -- 12.2 Carbon-based materials and their superlubricity -- 12.2.1 Development of diamond-like carbon films -- 12.2.2 Unusual tribological properties of diamond-like carbon films -- 12.2.3 Mechanisms of superlubricity in diamond-like carbon films -- 12.3 Superlubricity in other diamond-like carbon films -- 12.4 Concluding remarks -- Acknowledgments -- References -- 13 Superlubricity of glycerol is enhanced in the presence of graphene or graphite -- 13.1 Superlubricity of glycerol by self-sustained chemical polishing -- 13.2 Materials and tribological experiments -- 13.3 Friction and wear results of the steel/ta-C contact configuration -- 13.4 Mechanisms of tribochemical polishing for steel/ta-C friction pairs -- 13.5 SiC/Si3N4 contact configuration in glycerol -- 13.5.1 Materials and tribological conditions -- 13.5.2 Results and characterizations -- 13.6 Discussion -- 13.7 Conclusions -- References -- 14 The role of lubricant and carbon surface in achieving ultra- and superlow friction -- 14.1 Introduction -- 14.2 Experimental details -- 14.2.1 Materials and coatings -- 14.2.2 Lubricants -- 14.2.3 Tribological testing -- 14.2.4 Raman spectroscopy -- 14.3 Results and discussion -- 14.3.1 Screening of friction and wear properties (parameter set I) -- 14.3.2 Superlubricity (parameter set II) -- 14.4 Conclusion and outlook -- References -- 15 Friction of diamond-like carbon: Run-in behavior and environment effects on superlubricity -- 15.1 Introduction. 15.2 Structure and surface chemistry of DLC films -- 15.3 Effect of run-in behavior on superlubricity -- 15.3.1 Removal of the oxide layer -- 15.3.2 Transfer film formation and phase transformation -- 15.4 Effect of environment on the superlubricity -- 15.5 Conclusions -- Acknowledgment -- References -- 16 Tribo-induced interfacial nanostructures stimulating superlubricity in amorphous carbon films -- 16.1 Introduction -- 16.2 Techniques to detect the sliding interface at the atomic scale -- 16.3 Tribo-induced interfacial nanostructures governing superlubricity in different pathways -- 16.3.1 Stability and local ordering in self-mated hydrocarbon network assisting friction vanishment -- 16.3.2 Nanostructured tribolayers in situ grown on heterogeneous surfaces -- 16.3.3 Tribo-induced polymerization assisting shear softening of the sliding interface -- 16.3.4 Friction fading-out phenomenon at heavy loads in hydrogen environment -- 16.4 Summary -- Acknowledgment -- Competing interests -- References -- 17 Superlubricity in carbon nanostructural films: from mechanisms to modulating strategies -- 17.1 Introduction -- 17.2 Nanostructural carbon films -- 17.2.1 Graphene-embedded carbon films -- 17.2.2 Graphite-like carbon films -- 17.2.3 Fullerene-like carbon films -- 17.2.3.1 Fullerene-like carbon nitride films -- 17.2.3.2 FL-C:H films -- 17.3 Superlubricity mechanism -- 17.3.1 Surface passivation -- 17.3.2 Friction-induced spherical nanoparticles -- 17.4 Modulating strategies: the introduction of spherical nanoparticles -- 17.5 Conclusion -- Acknowledgments -- References -- 18 Superlubricity of water-based lubricants -- 18.1 Introduction -- 18.2 Phosphoric acid -- 18.3 Mixture of glycerol and acid -- 18.4 Ions -- 18.5 Surfactant micelles -- 18.6 Conclusions -- Acknowledgments -- Competing interests -- References -- 19 Superlubricity of lamellar fluids. 19.1 State of the art. EBL202104 XX SzGeCERN BOOK Martin, Jean Michel Luo, Jianbin https://cds.cern.ch/auth.py?r=EBLIB_P_6357701 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2762511 BOOK MIGRATED 2762508 SzGeCERN 20210421183900.0 9780128198940 electronic version electronic version 9780128198926 print version oai:cds.cern.ch:2762508 cerncds:BOOK EBL 6357395 eng TJ165 .T447 2021 621.3126 Brun, Klaus Thermal, mechanical, and hybrid chemical energy storage systems San Diego, CA Elsevier Science & Technology 2020 636 p ebook Intro -- Thermal, Mechanical, and Hybrid Chemical Energy Storage Systems -- Copyright -- Contents -- Contributors -- Editors biography -- Foreword -- Acknowledgments -- Nomenclature -- Chapter 1: Introduction to energy storage -- 1.1. Motivation for energy storage -- 1.1.1. Worldwide power generation mix and trends -- 1.1.2. Renewable variability and demand mismatch -- 1.1.3. Opportunities and challenges for energy storage -- 1.2. Basic thermodynamics of energy storage -- 1.2.1. First law of thermodynamics -- 1.2.2. Second law of thermodynamics -- 1.2.2.1. Materials for energy storage -- 1.2.3. Thermal energy storage materials -- 1.2.3.1. Sensible heat storage materials -- 1.2.3.2. Phase change materials -- 1.2.3.3. Sorption heat storage materials -- 1.2.3.4. Chemical reaction materials (without sorption) -- 1.2.4. Chemical energy storage materials -- 1.3. Introduction to energy storage technologies -- References -- Chapter 2: Mass grid storage with reversible Brayton engines -- 2.1. Introduction -- 2.2. The grid storage problem -- 2.2.1. World energy budget -- 2.2.2. Renewable load leveling -- 2.2.3. Pricing -- 2.2.4. Safety -- 2.3. Digression: Flow batteries -- 2.3.1. Thermodynamic reversibility -- 2.3.2. Membrane cost constraint -- 2.3.3. Electrode entropy creation -- 2.3.3.1. Loss component: Viscous flow resistance -- 2.3.3.2. Loss component: Electrical resistance -- 2.3.3.3. Irrelevant losses -- 2.3.4. Battery as thermal engine -- 2.4. The Brayton battery -- 2.4.1. Molten nitrate salt technology -- 2.4.2. Entropy metric -- 2.4.3. Turbomachinery entropy generation -- 2.4.4. Heat exchanger entropy generation -- 2.4.4.1. Loss component: Viscous flow resistance -- 2.4.4.2. Loss component: Approach temperature -- 2.4.4.3. Loss component: Thermal leak -- 2.4.4.4. Heat exchanger optimization -- 2.5. Steam technology precedents. 2.5.1. High pressure and power -- 2.5.2. Motor/generator speed limitation -- 2.5.3. Bearings and seals -- 2.5.4. Cooling -- 2.6. Reversible turbomachinery -- 2.6.1. Stage loading -- 2.6.2. Velocity triangles -- 2.6.2.1. Minimal-loss condition -- 2.6.2.2. Euler turbine equation -- 2.6.2.3. Half-reaction condition -- 2.6.2.4. Prototype values -- 2.7. Summary -- References -- Chapter 3: Thermal energy storage -- 3.1. Sensible heat liquid thermal energy storage -- 3.1.1. Liquid thermal energy storage -- 3.1.2. Two-tank TES in CSP -- 3.1.3. Single-tank TES for district heating -- 3.1.4. TES with nuclear power -- 3.2. Solid thermal energy storage -- 3.2.1. Solid TES overview -- 3.2.1.1. Solid TES materials and structure -- 3.2.2. Tube-in-concrete -- 3.2.2.1. Description -- 3.2.2.2. Advantages and disadvantages -- 3.2.2.3. Technical challenges -- 3.2.2.4. Technology status -- 3.2.3. Packed beds -- 3.2.3.1. Technology description -- 3.2.3.2. Applications -- 3.2.3.3. Technical challenges -- 3.2.3.4. Alternative packed bed designs -- 3.2.4. Stacked bricks -- 3.2.4.1. Technology description -- 3.2.4.2. Applications -- 3.2.5. Analysis Methods -- 3.2.5.1. Governing equations -- 3.2.5.2. 3D/2D simulation -- 3.2.5.3. 1D simulation -- 3.2.5.4. Packed bed 1D model example -- 3.2.5.5. Simplified calculation method -- 3.2.6. Design considerations -- 3.2.6.1. Temperature gradient effects -- 3.2.6.2. Direct vs. indirect heat exchange -- 3.2.6.3. 2-Phase working fluids -- 3.3. Thermocline dual-media thermal energy storage -- 3.3.1. Motivation for using dual-media thermocline thermal energy storage -- 3.3.2. Dual-media thermocline thermal storage design considerations -- 3.3.3. A solution to thermocline degradation: Terrafores TerraKlineTM technology -- 3.3.4. Packed-bed solid and fluid thermocline calculations -- 3.4. Low-temperature cool thermal storage. 3.4.1. Overview of cool thermal storage applications -- 3.4.1.1. Building air conditioning -- 3.4.1.2. Building space conditioning -- 3.4.1.3. Turbine inlet air cooling -- 3.4.2. Cool thermal storage technologies -- 3.4.2.1. Sensible energy change -- 3.4.2.2. Latent energy change -- Static ice internal-melt -- Static ice external-melt -- 3.4.2.3. Encapsulated ice and PCMs -- 3.4.3. Unitary air conditioning systems -- 3.4.4. Dynamic ice storage -- References -- Chapter 4: Mechanical energy storage -- 4.1. Pumped hydroelectric storage -- 4.1.1. Overview and basics design parameters -- 4.1.1.1. Working principle and basic design parameters -- 4.1.1.2. Types of pumped storage plants -- 4.1.1.3. Historical development and types of pumped storage units -- 4.1.1.4. Power unit concepts and their main operation modes -- Reversible power units -- Reversible power units with variable speed -- Ternary power units with fixed speed -- Comparisons of reversible with ternary power units -- 4.1.1.5. Application objectives and business opportunities for pumped storage -- 4.2. Flywheel energy storage -- 4.2.1. Background -- 4.2.1.1. Application areas -- 4.2.1.2. Comparison to other energy storage technologies -- 4.2.1.3. Technology projections -- 4.2.2. Mechanical design -- 4.2.2.1. Steel flywheels -- Geometry and construction -- Material properties -- Yield strength -- Annular flywheel versus shaftless flywheel -- Fatigue strength -- Conclusion -- Steel versus composite flywheels -- 4.2.2.2. Composite flywheels -- Background -- Comparison with various energy storage systems -- Material selection and geometrical design of FESS -- Optimal composite flywheel design for enhanced energy density -- Flywheel stress analysis -- Flywheel stress analysis-Single-ring flywheels -- Flywheel stress analysis-Multiring flywheels -- Future trends for composite flywheels. Nanomaterials -- Additive manufacturing -- 4.2.2.3. Bearings and rotordynamics -- Bearings -- Contact-type bearings -- Magnetic bearings -- Rotordynamics -- 4.2.3. Electrical design -- 4.2.3.1. Conventional motor/generator design -- Motor types and function -- Motor/generator control -- Magnetic bearing control -- Bearingless motors for flywheel energy storage -- Introduction -- Principle of operation -- Bearingless motor sizing laws -- Operation of bearingless motors -- 4.2.4. Auxiliary components -- 4.2.4.1. Vacuum systems -- Support structure -- Containment -- Auxiliary bearings -- 4.2.5. Loss mechanisms -- 4.2.5.1. Windage loss -- 4.2.5.2. Bearing losses -- 4.2.5.3. Motor/generator losses -- 4.3. Gravity and buoyancy-based energy storage systems -- 4.3.1. Gravity energy storage (GES) -- 4.3.2. Buoyancy energy storage (BES) -- Acknowledgments -- References -- Further reading -- Chapter 5: Chemical energy storage -- 5.1. Introduction -- 5.1.1. Hydrogen storage -- 5.1.1.1. Reversible solid-state hydrogen storage materials -- Advances in chemisorption materials -- Advances in physisorption materials -- Benchmarks for low-density, ultra-high surface area storage materials -- 5.1.1.2. Thermochemical energy storage concepts by reaction type -- Redox reactions -- Pure metal oxides redox systems -- BaO2/BaO -- CuO/Cu2O -- Fe2O3/Fe3O4 -- Mn2O3/Mn3O4 -- Co3O4/CoO -- Mixed metal oxides redox systems -- Doping Co3O4/CoO redox couple -- Doping Mn2O3/Mn3O4 redox couple -- Perovskites -- Spinels/monoxide -- Hydration reactions -- Carbonation reactions -- Alkaline earth carbonates (CaCO3, SrCO3, BaCO3) -- Other reactions -- Closed-loop reversible reactions -- Multistep reactions for hydrogen production -- Hybrid processes -- References -- Further reading -- Chapter 6: Heat engine-based storage systems -- 6.1. Thermodynamic cycles and systems. 6.1.1. Heat engines and heat pumps -- 6.1.2. Carnot and reverse Carnot cycle -- 6.1.3. Round-trip efficiency -- 6.1.4. Exergy -- 6.1.5. Working fluids -- 6.1.6. Working temperature range -- 6.1.7. Pressure range -- 6.1.8. Heat transfer properties -- 6.1.9. Safety/environmental impact -- 6.1.10. Power density -- 6.1.11. Cost -- 6.1.12. Degradation and material compatibility -- 6.2. Cryogenic energy storage -- 6.2.1. Background -- 6.2.2. LAES system description -- 6.2.3. Charging system -- 6.2.4. Discharging system -- 6.2.5. Pilot plant -- 6.2.6. Performance -- 6.2.7. Scale -- 6.2.8. Engineering considerations -- 6.2.9. Alternative working fluids -- 6.2.10. Advanced concepts -- 6.3. Pumped heat -- 6.3.1. Introduction -- 6.3.2. The basic ideal gas cycle -- 6.3.2.1. Charging cycle -- 6.3.2.2. Discharging cycle -- 6.3.3. The ideal gas cycle with recuperation -- 6.3.4. The ideal gas overlap cycle -- 6.3.5. Influencing factors on ideal gas cycles -- 6.3.5.1. Influence of pressure -- 6.3.5.2. Influence of temperatures -- 6.3.5.3. Heat rejection -- 6.3.6. Inventory control in ideal gas cycles -- 6.3.7. Parametric sensitivity for the recuperated cycle -- 6.3.8. Options regarding the point of heat rejection -- 6.3.9. Trans-critical CO2 cycle -- 6.3.10. Options regarding the thermal stores -- 6.3.11. Heat exchanger service integration -- 6.3.12. Equipment sharing between charging and discharging cycles -- 6.4. Hydrogen storage -- 6.4.1. Introduction -- 6.4.2. Gas turbine combustion systems -- 6.4.2.1. Flame speed -- 6.4.2.2. Flame temperature -- 6.4.2.3. Combustion stability -- 6.4.2.4. Flammability range (lower explosion limit-LEL, upper explosion limit-UEL) -- 6.4.2.5. Gas group and maximum experimental safe gap (MESG) -- 6.4.2.6. Hydrogen diffusivity -- 6.4.2.7. Hydrogen embrittlement -- 6.4.3. Application for industrial gas turbines. 6.4.3.1. Gas turbines configured with diffusion flame combustors. EBL202104 XX SzGeCERN BOOK Allison, Timothy C Dennis, Richard https://cds.cern.ch/auth.py?r=EBLIB_P_6357395 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2762508 BOOK MIGRATED 2762506 SzGeCERN 20210421183900.0 9781000214468 electronic version electronic version 9780367904128 print version oai:cds.cern.ch:2762506 cerncds:BOOK EBL 6357308 eng QA76.585 .S537 2021 004.6782 Sharma, Prerna Applications of cloud computing approaches and practices Milton CRC Press 2020 210 p ebook Chapman & Hall/CRC distributed sensing and intelligent systems Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of Tables and Figures -- Preface -- Editors -- Contributors -- About This Book -- Chapter 1: Analysis of Biological Information Using Statistical Techniques in Cloud Computing -- 1.1 What Is Bioinformatics? -- 1.1.1 A Brief History -- 1.1.2 Tools and Techniques -- 1.1.3 Future Scope -- 1.2 Cloud Analytics -- 1.2.1 Analytic Services -- 1.2.2 Bioinformatics Cloud -- 1.3 Bioinformatics Cloud Computing Services -- 1.3.1 Data as a Service (DaaS) -- 1.3.1.1 EMBOSS -- 1.3.1.2 J-GLOBAL -- 1.3.1.3 Gene Set Builder -- 1.3.1.4 BioDWH -- 1.3.1.5 AWS Public Datasets -- 1.3.1.6 SeqHound -- 1.3.2 Software as a Service (SaaS) -- 1.3.2.1 Lhasa Cloud -- 1.3.2.2 eCEO -- 1.3.2.3 StormSeq -- 1.3.2.4 Crossbow -- 1.3.2.5 CloudBurst -- 1.3.3 Platform as a Service (PaaS) -- 1.3.3.1 DNAnexus -- 1.3.3.2 Magallanes -- 1.3.3.3 Google Genomics -- 1.3.3.4 Syapse -- 1.3.3.5 BioServices -- 1.3.3.6 Eoulsan -- 1.3.4 Infrastructure as a Service (IaaS) -- 1.3.4.1 Google Compute Engine -- 1.3.4.2 GoGrid -- 1.3.4.3 HP Helion -- 1.3.4.4 Joyent -- 1.4 CSIM Architecture -- 1.5 Implementation Challenges -- 1.5.1 Security and Privacy -- 1.5.2 Legal Aspects -- References -- Chapter 2: Intelligent Cloud Computing and Bioinformatics Data Analysis -- 2.1 Introduction -- 2.1.1 Introduction to Intelligent Cloud Computing -- 2.1.2 Contemporary Advancements in Bioinformatics Data Analysis -- 2.1.3 Reasons for the Use of Intelligent Cloud Computing in Bioinformatics -- 2.1.4 Terminology and Abbreviations -- 2.2 Principal Disciplines of Intelligent Cloud Computing and Bioinformatics Data Analysis -- 2.2.1 Intelligent Cloud Computing Architecture -- 2.2.2 Current Frameworks in Bioinformatics Data Analysis -- 2.2.2.1 MapReduce with Hadoop for Big Data Analysis. 2.2.2.2 Applications of Service Models -- 2.2.2.3 Cloud Developments in Translational Biomedical Sciences -- 2.3 Bioinformatics Data Analysis Methodologies Compared -- 2.3.1 AiNET (Artificial Immune NETwork) -- 2.3.2 Microarray Data Analysis -- 2.4 Challenges and Opportunities -- 2.4.1 Technical Challenges and Scope for Improvement -- 2.4.1.1 Workload Factoring -- 2.4.1.2 Network Bandwidth -- 2.4.1.3 Heterogeneous Distributed Database System -- 2.4.2 Implementations and Applications -- 2.5 Further Advancements -- 2.6 Conclusion -- References -- Chapter 3: Cloud Computing Service Models: Traditional and User-Centric Approaches -- 3.1 Introduction -- 3.2 Traditional Cloud Computing Service Models -- 3.2.1 Types of Traditional Cloud Computing Service Models -- 3.2.1.1 Infrastructure as a Service -- 3.2.1.2 Platform as a Service -- 3.2.1.3 Software as a Service -- 3.2.2 Security Issues in Traditional Cloud Computing Service Models -- 3.2.2.1 Security Problems of SaaS -- 3.2.2.2 Security Problems of PaaS -- 3.2.2.3 Security Problems of IaaS -- 3.2.2.4 Current Security Solutions -- 3.2.3 Summary -- 3.3 A User-Centric Approach to a Mobile Cloud Computing Service Model -- 3.3.1 Current Mobile Cloud Services Models -- 3.3.2 Existing Mobile Cloud Applications -- 3.3.2.1 Mobile Cloud's Computational Task -- 3.3.2.2 Mobile Cloud Storage -- 3.3.2.3 Security and Privacy -- 3.3.2.4 MCC Context Awareness -- 3.3.3 From Internet Clouds to User-Centric Mobile Clouds -- 3.3.3.1 Current Mobile Cloud Computing and the Direction of Travel -- 3.3.3.2 The User-Centric Approach to Mobile Cloud Computing -- 3.3.4 Design Principles of User-Centric Mobile Cloud Computing -- 3.3.5 Mobile as a Representative: A User-Centric Methodology -- 3.3.6 User-Centric MaaR Model-Based Application Scenario -- 3.3.7 Summary -- 3.4 Case Studies -- 3.4.1 Instagram: The Billion-Dollar App. 3.4.2 Netflix: An Established Company That Shifted Its Entire Enterprise to the Cloud -- 3.4.3 NOAA, Email, and Collaboration in the Cloud: A Government Case -- 3.4.4 The Obama Campaign: A Not-for-Profit Case -- 3.4.5 Summary -- 3.5 Conclusion -- References -- Chapter 4: Biometrics as a Service -- 4.1 Introduction -- 4.2 Cloud and Mobility -- 4.3 Complex Threats and the Cybersecurity Landscape -- 4.3.1 Cloud-Enabled BYOD -- 4.3.2 Virtualization for BYOD -- 4.3.3 Emerging Mobile Business Workforce -- 4.3.4 The Financial and Banking Sector -- 4.3.4.1 Challenges -- 4.3.5 E-Commerce -- 4.3.5.1 Challenges -- 4.3.5.2 Variety of Devices and Operating Software -- 4.3.5.3 Identity and Access Management Difficulties in the Workplace -- 4.4 Emergence of Biometrics -- 4.4.1 Ubiquitous Biometric Technology -- 4.5 Taking Biometrics to the Cloud -- 4.5.1 Biometrics Meet Banking -- 4.5.2 Secure Payments -- 4.6 Biometrics as a Service Approaches -- 4.6.1 Market Challenges with Biometrics -- 4.7 Future Capabilities -- References -- Chapter 5: The Role of Intelligent Grid Technology in Cloud Computing -- 5.1 Introduction -- 5.2 Fundamentals of Grid and Cloud Computing -- 5.2.1 Grid Computing -- 5.2.1.1 Classification of Grid Operations -- 5.2.1.2 Benefits of Grid Computing -- 5.2.1.3 Disadvantages of Grid Computing -- 5.3 Cloud Computing -- 5.3.1 Types of Cloud -- 5.4 Models of Grid and Cloud Computing -- 5.4.1 Distributed Computing -- 5.5 Cloud Computing and Grid Computing Compared -- 5.6 Model -- 5.6.1 Software -- 5.6.2 Infrastructure -- 5.6.3 Platform -- 5.6.4 Applications -- 5.7 Virtualization and Cloud Computing -- 5.8 Techniques -- 5.8.1 Service Orientation and Web Services -- 5.8.2 Data Execution -- 5.8.3 Monitoring -- 5.8.4 Amazon Cloud Watch -- 5.8.5 Azure Diagnostic Monitor -- 5.8.6 Hyperic Cloud Status -- 5.8.7 Autonomic Computing. 5.8.8 Structure and Effects of Clouds and Grids -- 5.8.9 Interoperability -- 5.9 The Future of Grid Computing -- 5.10 Conclusion -- References -- Chapter 6: Application of Networks in Cloud Computing -- 6.1 Introduction to Cloud Networking -- 6.2 Networks -- 6.2.1 Types of Network -- 6.2.2 Network Operating Systems -- 6.2.3 Network Architecture -- 6.2.3.1 Cloud Architectural Layers -- 6.2.3.2 Network Architecture for Clouds -- 6.2.3.2.1 Data Centre Network -- 6.2.3.2.2 Data Centre Interconnect Network -- 6.2.3.2.3 Network Protocols -- 6.2.4 Network Security -- 6.3 Importance of Networking in Cloud Computing -- 6.4 Challenges in Existing Cloud Networks -- 6.5 Future Scope in Cloud Networking -- 6.6 Conclusion -- References -- Chapter 7: Privacy and Security Issues in Cloud Computing -- 7.1 Introduction -- 7.1.1 Definition -- 7.1.2 Service Models -- 7.1.2.1 Infrastructure as a Service (IaaS) -- 7.1.2.2 Platform as a Service (PaaS) -- 7.1.2.3 Software as a Service (SaaS) -- 7.1.3 Deployment Models -- 7.2 Research Challenges in Cloud Computing -- 7.3 Cloud Computing Solutions -- 7.3.1 Security Issues -- 7.3.1.1 Trusted Third Party -- 7.3.1.1.1 Low- and High-Level Confidentiality -- 7.3.1.1.2 Authentication of Server and Client -- 7.3.1.1.3 Formation of Security Domains -- 7.3.1.1.4 Data Cryptographic -- 7.3.1.1.5 Authorization Based on Certificate -- 7.3.1.1.5.1 Access Control Method -- 7.3.1.1.5.2 Policy Integration Method -- 7.3.2 Privacy Issues -- 7.3.2.1 Identity Management -- 7.3.2.2 User Control Methods -- 7.4 Conclusion -- References -- Chapter 8: Design and Development of E-Commerce-Oriented PaaS Application in Cloud Computing Environment -- 8.1 Introduction -- 8.2 Literature Survey -- 8.3 Proposed Framework -- 8.3.1 Steps involved in Verification and Validation of Application -- 8.3.2 Web Application -- 8.3.3 Credit Card Validation Process. 8.3.4 LUHN MOD 10 Algorithm -- 8.3.4.1 Steps of Luhn Algorithm -- 8.3.4.2 Example of Luhn Algorithm -- 8.3.4.3 Algorithm Used -- 8.4 Simulation Performed -- 8.4.1 Simulation Environment -- 8.4.2 Google App Engine -- 8.5 Implementation/Execution -- 8.6 Conclusion and Future Work -- References -- Chapter 9: UAV Environment in FANET: An Overview -- 9.1 Introduction -- 9.2 Related Work -- 9.3 FANET Overview -- 9.3.1 Categories of UAVs -- 9.3.2 UAV Communication -- 9.4 Routing Techniques -- 9.4.1 Clustering -- 9.4.2 Discovery -- 9.4.3 Link State -- 9.4.4 Mobility Information -- 9.4.5 Prediction -- 9.4.6 Energy Efficiency -- 9.4.7 Secured Link -- 9.4.8 Broadcasting -- 9.4.9 Store and Carry Forward -- 9.4.10 Greedy Forwarding -- 9.4.11 Static Technique -- 9.4.12 Hierarchical Technique -- 9.5 Cloud Computing in FANET -- 9.6 Mobility Models -- 9.7 Routing Protocols -- 9.7.1 Energy-Based Routing Protocols -- 9.7.2 Security-Based Routing Protocols -- 9.8 Challenges and Solutions -- 9.9 Conclusion -- References -- Chapter 10: A Transition from Cloud to Fog Computing: Identifying Features, Challenges and the Future -- 10.1 Introduction -- 10.2 From Cloud Computing to Fog Computing -- 10.3 Fog Computing -- 10.4 Differences between Cloud Computing and Fog Computing -- 10.5 Fog Computing Model -- 10.5.1 Layered Architecture of Fog Computing -- 10.6 Applications of Fog Computing -- 10.7 Advantages of Fog Computing -- 10.8 Application of Fog Computing in Smart Cities -- 10.8.1 Traffic Regulation -- 10.8.2 Waste Management -- 10.8.3 Environmental Control -- 10.8.4 Surveillance Systems -- 10.9 Limitations of Adopting Fog Computing -- References -- Index. EBL202104 XX SzGeCERN BOOK Sharma, Moolchand Elhoseny, Mohamed https://cds.cern.ch/auth.py?r=EBLIB_P_6357308 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2762506 BOOK MIGRATED 2762424 SzGeCERN 20210421183903.0 9783896447227 electronic version electronic version 9783896737229 print version oai:cds.cern.ch:2762424 cerncds:BOOK EBL 6331261 eng TD194.7 .S35 2016 658.408 Schillinger, Tanja An accounting approach to create an environmentally sustainable company selection and definition of environmental indicators with special reference to suppliers in developing countries Berlin Duncker & Humblot 2020 189 p ebook Intro -- Foreword -- Meyer-Stiftung -- Preface -- Table of Contents -- List of Abbreviations -- List of Figures -- List of Indicators -- 1 Introduction -- 1.1 Problem Definition and Purpose -- 1.2 Delimitation and Research Approach -- 2 Sustainability -- 2.1 Definition and Differentiation -- 2.2 State of Corporate Sustainability -- 2.3 Shareholder Value vs Stakeholder Approach -- 2.4 Triple-Bottom-Line -- 2.5 Benefits -- 3 Status quo in Developing Countries -- 3.1 (Environmental) Sustainability Awareness -- 3.2 (Environmental) Sustainable Practices -- 3.3 Important Considerations for the Control of DC Suppliers -- 4 Issues Caused by Unsustainable Behaviour and Unsustainable Business Practices -- 4.1 Underlying Thoughts -- 4.2 Environmental Issues -- 4.3 Drivers and Economic Issues -- 4.4 Other Issues -- 5 Introduction to Environmental Accounting and Indicators -- 5.1 Conventional (Management) Accounting -- 5.1.1 Classification and Tasks -- 5.1.2 Indicators -- 5.1.2.1 Term and General Information -- 5.1.2.2 Categories of Indicators -- 5.1.3 Indicator Systems -- 5.2 Environmental (Management) Accounting -- 5.3 Environmental Performance Evaluation - ISO 14031 -- 5.4 Towards Environmental Indicators -- 5.4.1 General Information -- 5.4.2 Possible Challenges -- 5.4.3 Selection and Selection Criteria -- 6 Definition of the Selected Environmental Indicators along the Whole Value Chain -- 6.1 Environmental Supply Chain Management and Life Cycle Assessment -- 6.2 Porter's Value Chain and its Adaptation -- 6.3 Structure and Categorization -- 6.4 Specific Divisional Environmental Indicators -- 6.4.1 Important Remarks -- 6.4.2 Inbound Logistics and Procurement with special reference to DC Suppliers -- 6.4.2.1 Supplier Management and Environmentally Conscious Purchasing -- 6.4.2.2 Conceptual Delimitation and Research Approach. 6.4.2.3 Selecting and Monitoring Suppliers with the Help of Indicators -- 6.4.2.4 Procurement and Inbound Logistics -- 6.4.3 Technology Development: Product Design -- 6.4.4 Firm Infrastructure -- 6.4.5 Human Resource Management -- 6.4.6 Operations -- 6.4.7 Outbound Logistics -- 6.4.8 Marketing, Sales and Service -- 6.5 Corporate Environmental Indicators (KEIs) -- 6.6 Overall Environmental Indicator -- 7 Integration of Indicators into an Exemplary Framework for Implementation and Application: The 'Environmental Tree-Model' -- 8 Conclusion -- 8.1 Critical Evaluation and Limitations -- 8.2 Opportunities and Outlook -- Appendices -- Appendix 1: Geographic Distribution of Sustainability Science Publications -- Appendix 2: Overall Increase in Publications on Corporate Sustainability -- Appendix 3: Value Creation with the Help of Sustainability -- Appendix 4: Four Approaches to Environmental Accounting -- Appendix 5: Different Categories of Environmental Accounting -- Appendix 6: The Value System -- Appendix 7: Porter's Generic Value Chain -- Appendix 8: Overview of a Company's Processes and Operations -- Appendix 9: Operations of an Organization -- Appendix 10: Inputs and Outputs of Manufacturing -- Appendix 11: Conversion Table -- Appendix 12: Conversion into Gigajoules -- Appendix 13: The 3 Emission Scopes -- Appendix 14: EcoMetrics of Interface -- Appendix 15: The Original 'Environmental Tree-Model' -- References -- Alphabetical Index. EBL202104 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6331261 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2762424 BOOK MIGRATED 2762412 SzGeCERN 20210421183904.0 9781119648369 electronic version electronic version 9781119648376 print version oai:cds.cern.ch:2762412 cerncds:BOOK EBL 6320699 eng TK5105.59 .D436 2021 004.6782 Deane CCSP for dummies with online practice Newark, NJ John Wiley & Sons 2020 371 p ebook Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About this Book -- Foolish Assumptions -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Part 1 Starting Your CCSP Journey -- Chapter 1 Familiarizing Yourself with (ISC)2 and the CCSP Certification -- Appreciating (ISC)2 and the CCSP Certification -- Knowing Why You Need to Get Certified -- Studying the Prerequisites for the CCSP -- Understanding the CCSP Domains -- Domain 1: Cloud Concepts, Architecture and Design -- Domain 2: Cloud Data Security -- Domain 3: Cloud Platform and Infrastructure Security -- Domain 4: Cloud Application Security -- Domain 5: Cloud Security Operations -- Domain 6: Legal, Risk and Compliance -- Preparing for the Exam -- Studying on your own -- Learning by doing -- Getting official (ISC)2 CCSP training -- Attending other training courses -- Practice, practice, practice -- Ensuring you're ready for the exam -- Registering for the Exam -- Taking the Exam -- Identifying What to Do After the Exam -- Chapter 2 Identifying Information Security Fundamentals -- Exploring the Pillars of Information Security -- Confidentiality -- Integrity -- Availability -- Threats, Vulnerabilities, and Risks . . . Oh My! -- Threats -- Vulnerabilities -- Risks -- Securing Information with Access Control -- Deciphering Cryptography -- Encryption and decryption -- Types of encryption -- Common uses of encryption -- Grasping Physical Security -- Realizing the Importance of Business Continuity and Disaster Recovery -- Implementing Incident Handling -- Preparing for incidents -- Detecting incidents -- Containing incidents -- Eradicating incidents -- Recovering from incidents -- Conducting a Post-Mortem -- Utilizing Defense-in-Depth -- Part 2 Exploring the CCSP Certification Domains -- Chapter 3 Domain 1: Cloud Concepts, Architecture and Design. Knowing Cloud Computing Concepts -- Defining cloud computing terms -- Identifying cloud computing roles -- Recognizing key cloud computing characteristics -- Building block technologies -- Describing Cloud Reference Architecture -- Cloud computing activities -- Cloud service capabilities -- Cloud service categories -- Cloud deployment models -- Cloud shared considerations -- Impact of related technologies -- Identifying Security Concepts Relevant to Cloud Computing -- Cryptography and key management -- Access control -- Data and media sanitization -- Network security -- Virtualization security -- Common threats -- Comprehending Design Principles of Secure Cloud Computing -- Cloud Secure Data Lifecycle -- Cloud based disaster recovery (DR) and business continuity (BC) planning -- Cost benefit analysis -- Security considerations for different cloud categories -- Evaluating Cloud Service Providers -- Verifying against certification criteria -- Meeting system/subsystem product certifications -- Chapter 4 Domain 2: Cloud Data Security -- Describing Cloud Data Concepts -- Cloud data lifecycle phases -- Data dispersion -- Designing and Implementing Cloud Data Storage Architectures -- Storage types -- Threats to storage types -- Designing and Implementing Data Security Technologies and Strategies -- Encryption and key management -- Hashing -- Data loss prevention (DLP) -- Data de-identification -- Implementing Data Discovery -- Structured data -- Unstructured data -- Implementing Data Classification -- Mapping -- Labeling -- Sensitive data -- Designing and Implementing Information Rights Management (IRM) -- Objectives -- Appropriate tools -- Planning and Implementing Data Retention, Deletion, and Archiving Policies -- Data retention policies -- Data deletion procedures and mechanisms -- Data archiving procedures and mechanisms -- Legal hold. Designing and Implementing Auditability, Traceability and Accountability of Data Events -- Defining event sources and requirements of identity attribution -- Logging, storing, and analyzing data events -- Chain of custody and nonrepudiation -- Chapter 5 Domain 3: Cloud Platform and Infrastructure Security -- Comprehending Cloud Infrastructure Components -- Physical environment -- Network and communications -- Compute -- Virtualization -- Storage -- Management plane -- Designing a Secure Data Center -- Logical design -- Physical design -- Environmental design -- Analyzing Risks Associated with Cloud Infrastructure -- Risk assessment and analysis -- Cloud vulnerabilities, threats, and attacks -- Virtualization risks -- Countermeasure strategies -- Designing and Planning Security Controls -- Physical and environmental protection -- System and communication protection -- Virtualization systems protection -- Identification, authentication, and authorization in cloud infrastructure -- Audit mechanisms -- Planning Business Continuity (BC) and Disaster Recovery (DR) -- Risks related to the cloud environment -- Business requirements -- Business continuity/disaster recovery strategy -- Chapter 6 Domain 4: Cloud Application Security -- Advocating Training and Awareness for Application Security -- Cloud development basics -- Common pitfalls -- Common cloud vulnerabilities -- Describing the Secure Software Development Lifecycle (SDLC) Process -- Business requirements -- Phases -- Methodologies -- Applying the SDLC Process -- Common vulnerabilities during development -- Cloud-specific risks -- Quality Assurance (QA) -- Threat modeling -- Software configuration management and versioning -- Applying Cloud Software Assurance and Validation -- Functional testing -- Security testing methodologies -- Using Verified Secure Software. Approved Application Programming Interfaces (API) -- Supply-chain management -- Third-party software management -- Validated open source software -- Comprehending the Specifics of Cloud Application Architecture -- Supplemental security components -- Cryptography -- Sandboxing -- Application virtualization and orchestration -- Designing Appropriate Identity and Access Management (IAM) Solutions -- Federated identity -- Identity providers -- Single sign-on (SSO) -- Multifactor authentication -- Cloud access security broker (CASB) -- Chapter 7 Domain 5: Cloud Security Operations -- Implementing and Building a Physical and Logical Infrastructure for Cloud Environment -- Hardware specific security configuration requirements -- Installing and configuring virtualization management tools -- Virtual hardware specific security configuration requirements -- Installing guest operating system virtualization toolsets -- Operating Physical and Logical Infrastructure for a Cloud Environment -- Configuring access control for local and remote access -- Secure network configuration -- Hardening the operating system through the application of baselines -- Availability of standalone hosts -- Availability of clustered hosts -- Availability of guest operating system -- Managing Physical and Logical Infrastructure for a Cloud Environment -- Access controls for remote access -- Operating system baseline compliance monitoring and remediation -- Patch management -- Performance and capacity monitoring -- Hardware monitoring -- Configuring host and guest operating system backup and restore functions -- Network security controls -- Management plane -- Implementing Operational Controls and Standards -- Change management -- Continuity management -- Information security management -- Continual service improvement management -- Incident management -- Problem management. Release and deployment management -- Configuration management -- Service level management -- Availability management -- Capacity management -- Supporting Digital Forensics -- Collecting, acquiring, and preserving digital evidence -- Evidence management -- Managing Communication with Relevant Parties -- Customers -- Vendors -- Partners -- Regulators -- Other stakeholders -- Managing Security Operations -- Security operations center (SOC) -- Monitoring of security controls -- Chapter 8 Domain 6: Legal, Risk and Compliance -- Articulating Legal Requirements and Unique Risks within the Cloud Environment -- Conflicting international legislation -- Evaluating legal risks specific to cloud computing -- Legal framework and guidelines -- e-Discovery -- Forensics requirements -- Understanding Privacy Issues -- Difference between contractual and regulated private data -- Country-specific legislation related to private data -- Jurisdictional differences in data privacy -- Standard privacy requirements -- Understanding Audit Process, Methodologies, and Required Adaptations for a Cloud Environment -- Internal and external audit controls -- Impact of audit requirements -- Identifying assurance challenges of virtualization and cloud -- Types of audit reports -- Restrictions of audit scope statements -- Gap analysis -- Audit planning -- Internal information security management system (ISMS) -- Internal information security controls system -- Policies -- Identification and involvement of relevant stakeholders -- Specialized compliance requirements for highly regulated industries -- Impact of distributed Information Technology (IT) model -- Understanding the Implications of Cloud to Enterprise Risk Management -- Assessing providers' risk management programs -- Difference between data owner/controller versus data custodian/processor. Regulatory transparency requirements. EBL202104 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6320699 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2762412 BOOK MIGRATED 2762411 SzGeCERN 20210421183904.0 9780309680974 electronic version electronic version 9780309680967 print version oai:cds.cern.ch:2762411 cerncds:BOOK EBL 6320696 eng TK1010 .M634 2020 621.31 National Academies of Sciences, Engineering, and Medicine Models to inform planning for the future of electric power in the United States proceedings of a workshop Washington, DC National Academies Press 2020 89 p ebook Intro -- FrontMatter -- Acknowledgment of Reviewers -- Contents -- Overview -- 1 Introduction -- 2 Modeling the Electric System: Approaches and Challenges -- 3 Models for Long-Term Planning -- 4 Models for Transmission Planning -- 5 Models for Distribution System Planning -- 6 Case Study: Los Angeles -- Appendixes -- Appendix A: Statement of Task -- Appendix B: Workshop Agenda -- Appendix C: Registered Workshop Participants -- Appendix D: Acronyms. EBL202104 XX SzGeCERN EBL Electric power systems-United States-Mathematical models EBL Electric power systems-United States-Planning BOOK Johnson, Anne Frances Division on Engineering and Physical Sciences Board on Energy and Environmental Systems Committee on the Future of Electric Power in the US https://cds.cern.ch/auth.py?r=EBLIB_P_6320696 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2762411 BOOK MIGRATED 2762408 SzGeCERN 20210421183904.0 9780300256154 electronic version electronic version 9780300247152 print version oai:cds.cern.ch:2762408 cerncds:BOOK EBL 6320055 eng HD60 .M377 2020 658.408 Marquis, Christopher Better business how the B Corp movement is remaking capitalism New Haven, CT Yale University Press 2020 312 p ebook Cover -- Half Title -- Title -- Copyright -- Dedication -- Contents -- Preface -- Introduction -- 1 Focusing on Interdependencies, Not Externalities -- 2 Interdependence Day -- 3 Putting the Spotlight on Interdependencies -- 4 Getting the Law on the Stakeholders' Side -- 5 Investing for Impact -- 6 Employees as the Heart of the Company -- 7 Finding Kindred Spirits: The B Community -- 8 Going Global -- 9 Widening the Funnel -- 10 Big Isn't Always Bad -- 11 Convincing Consumers to Care -- Conclusion: An Age of Interdependence -- Notes -- Acknowledgments -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- R -- S -- T -- U -- V -- W -- Y -- Z. A compelling look at the B Corp movement and why socially and environmentally responsible companies are vital for everyone's future. EBL202104 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6320055 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2762408 BOOK MIGRATED 2762358 SzGeCERN 20210421183906.0 9783035736274 electronic version electronic version oai:cds.cern.ch:2762358 cerncds:BOOK EBL 6319330 eng TJ807.2 .A383 2020 621.042 Aripriharta Advanced materials for renewable energy Zurich Trans Tech Publications 2020 235 p ebook Key engineering materials 851 Intro -- Advanced Materials for Renewable Energy -- Preface -- Table of Contents -- Chapter 1: Functional and Special Materials, Processing Technologies -- Synthesis and Characterization of Complex from K4[Co(SCN)6], Zinc(II) Chloride and Quinoline as Electrode Material of K-Ion Battery -- Effect of Polyaniline on Structural and Optical Characteristics of Fe3O4 and TiO2 Nanoparticles -- Annealing Temperature Effect of ZnO Seed Layer on Integrated Photosupercapacitor Performance -- Performance of B-Doped SrTiO3/ Ni Sheet for Supercapacitor Material Application -- Fabrication of Bilayer Fe2O3/ZnO Photoanode and its Photoelectrochemical Performance -- Effect of Additional MnFe2O4 on a Combination of EG-Water Nanofluid and Volumetric Flowrate Variations towards Heat Transfer in Shell and Tube Heat Exchanger System -- The Effect of Addition of Waste Materials on Nitrile Butadiene Rubber to the Mechanical Properties of Roller Rubber -- Phase Identification and Mechanical Properties on Post Weld Heat Treatment of Steel St.70 -- Corrosion Resistance Analysis of ST37 Carbon Steel Material Using Phosphate Conversion Coating in Various Immersion Durations -- Measuring the Influence of Process Parameter on CuCr Electrode Tool Wear Rate for Biocompatible Zr-Based BMG Cutting Using Sinking-EDM -- Chapter 2: Materials for Biomedical Application -- Effect of Drying Methods on the Structure of Bacterial Cellulose from Pineapple Peel Extract -- Effect of Disintegration Process on the Properties of Bacterial Cellulose Foam -- Effect of Alkalization on the Bacterial Cellulose Film Structure Produced Using the Pineapple Waste -- Physical Properties Characterization and Design Comparation of Knee Implant with Ti6Al4V Material -- Punch Tool Speed and Material Effect on Keychain Cranioplasty Plate Dimensions Using Finite Element Method. Simulation of Hip Joint Implants Using Finite Element Method with Time and Load Variations -- Correlation of Extract Composition on Antioxidant Activity of Electrospun PolyvinylPyrrolidone/Bassela rubra linn Leaf Extract Composite -- Fracture Propagation Pathways Pattern on UV-Irradiated Double-Edge Cracked of Mordenite Zeolite-HDPE Composites -- Chapter 5: Biomass Processing -- Pyrolytic Characteristics and Kinetic Parameters Evaluation of Cassava Stalks Using Thermogravimetric Analyzer -- Arrhenius Kinetic Analysis during Combustion of Spirulina platensis Microalgae -- Thermal Characteristic of Tetraselmis chuii Combustion Influenced by Titanium Dioxide (TiO2) Nanoparticle -- Thermogravimetric Study on the Thermal Characteristics of Tetraselmis chuii Microalgae Pyrolysis in the Presence of Titanium dioxide -- Synthesis of Methyl Ester from Rice Bran Oil through the Esterification Reaction -- Fabrication Process Optimization of Gombong (Gigantochloa pseudoarundinacea), Haur Hejo (Bambusa tuldoides) and Tali (Gigantochloa apus) Bamboo Fibers for Structural Application -- Synthesis of CaO@CoFe2O4 Nanoparticles and its Application as a Catalyst for Biodiesel Production from Used Cooking Oil -- Chapter 6: Materials and Technologies in Environmental Engineering -- Adsorption Properties of Magnetic Sorbent Mn0.25Fe2.75O4@SiO2 for Mercury Removal -- Geochemical Explorations of Leached Fe in Tiga Warna Beach, Indonesia -- Activation of Zeolite from Malang as Catalyst for Plastic Waste Conversion to Fuel -- Fourier Transform Infrared (FTIR) Spectroscopy and X-Ray Diffraction (XRD) Analysis of Synthetic Waste during Combustion Process -- Keyword Index -- Author Index. Selected peer-reviewed papers from the Annual International Conference on Renewable Energy (ICORE 2019) Selected, peer-reviewed papers from the annual International Conference on Renewable Energy (ICORE 2019), August 9-10, 2019, Malang, East Java, Indonesia. EBL202104 XX SzGeCERN BOOK Puspitasari, Poppy https://cds.cern.ch/auth.py?r=EBLIB_P_6319330 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2762358 BOOK MIGRATED 2762300 SzGeCERN 20210421183909.0 9783035734522 electronic version electronic version oai:cds.cern.ch:2762300 cerncds:BOOK EBL 6319122 eng QC176.A1 .S655 2020 530.41 Suhaimi, Syahida Solid state science and technology XXX Zurich Trans Tech Publications 2020 360 p ebook Solid state phenomena 307 Intro -- Solid State Science and Technology XXX -- Preface -- Table of Contents -- Chapter 1: Materials for Application in Electrical Engineering, Electronics and Spintronics -- Investigation of Nano-Sized Al2O3 on Pr-Sr-Mn-O Composites: Structural, Microstructural and Magnetic Properties -- Structural, Magnetic and Magnetotransport Properties of Sol-Gel Synthesized La0.67Ca0.33MnO3:TiO2 Nanocomposite -- Solderability of Coloured Lead Free Solder Composite -- A Study of Multiferroic BiFeO3/Epoxy Resin Composite as Potential Coating Materials for Microwave Absorption -- Morphological Effect on the Intermetallic Compound Layer Growth Kinetics of Metallurgical Joining -- Effect of Blast Wave on Intermetallics Formation, Hardness and Reduced Modulus Properties of Solder Joints -- The Effect of Various ZnO Layer towards Sensing Performance as an Electrolyte-Insulator-Semiconductor pH Sensor -- The Study of a Structural and Electronic Properties of Two-Dimensional Flat Layer Arsenene Using Planewaves Density Functional Calculation -- Zinc Oxide Thin Film Synthesized by Sol-Gel Method -- Synthesis and Characterization of Cobalt Ferrite Nanoparticles via Sol-Gel Auto Combustion Method -- Self-Catalysed Vapor-Liquid-Solid Growth Mechanism of ZnO Nanowires Grown on Silicon Substrate Pre-Coated with ZnO Buffer Layer -- ZnO Coated Optical Fiber for Alcohol Sensing Applications -- Graphene Based Macrobend Unclad SMF for Monitoring pH Level in Aqueous Environment -- Plastic Optical Fiber Sensor for Detection of Ethanol Concentrations -- Chapter 2: Superconducting Materials -- Electrospinning Synthesis of Bi-2223 Superconducting Nanowires -- Effect of Ni0.5Zn0.5Fe2O4 Nanoparticles Addition on Tl-1212 High Temperature Superconductor -- Effect of CeO2 Nanoparticle on the Structural and Electrical Properties of BSCCO-2223 High Temperature Superconductor. Chapter 3: Materials and Technologies for Application in Energy Storage -- Effect on Electrochemical Performance of Cr and Ni Substitution in LiCoO2 Cathode Materials -- Structural Studies and Ionic Transport Properties of Solid Biopolymer Electrolytes Based on Chitosan/ Methyl Cellulose Blend Doped with BMIMTFSI -- Scan Rates and the Disparities in the Electrochemical Double Layer Capacitor (EDLC) Performance -- The Influence of Structural Properties on the Electrochemical Performance of Surface-Modified Ordered Carbon -- The Effect of Calcination Time on Crystallite Size of LiMn1.8Ni0.2O4 Cathode Materials -- Chapter 4: Materials and Technologies for Fuel Cell Production -- Fabrication of Compositionally Gradient Anode Functional Layer for Proton Conducting Fuel Cell at Intermediate Temperatures: A Preliminary Study -- Lattice Expansion of BaCe0.54Zr0.36Y0.1O3-δ Ceramic Electrolyte -- Characterization of LSCF Cathode Material Modified with f-CNTs -- Electrical Conductivity of Y3+ Doped Ba(Ce,Zr)O3 in Wet N2 Atmosphere Prepared with the Addition of Brij-97 -- Characterization of BCZY Ceramic Material Prepared with Treated Activated Carbon from Empty Fruit Bunches (EFB) -- Phase Analysis of Cerate and Zirconate Ceramics Powder Prepared by Supercritical Ethanol Using High Temperature-High Pressure Batch Wise Reactor System -- Chapter 5: Materials and Technologies for Application in Solar Cell and Photocatalysis Processes -- Effect of Heat Treatment on Electrodeposited ZnSe on Vertically Aligned ZnO Nanorods for Photoelectrochemical Cell -- Characteristics of Electron Transport Study of Composited Graphene-Zinc Oxide Thin Film Photoanode for Dye-Sensitized Solar Cells -- Optimization of Dye Extraction from Purple Cabbage and Cordyline Fruticosa in Dye-Sensitized Solar Cell. Potassium Doping Effect on Cu2ZnSn(S,Se)4 Thin Film Absorber Layer Deposited via Spray Pyrolysis -- Determination of HOMO and LUMO Level of Polythiophene, Poly(3-Thiophene Acetic Acid), Polypyrrole and Chlorophyll via Cyclic Voltammetry Method -- Antimicrobial Activity of Photoactive Cerium Doped Zinc Oxide -- Temperature and Salinity Effects on Photocatalytic Performance of Cerium Doped Zinc Oxide -- Chapter 6: Environmental Treatment Technologies and Chemical Production -- Determination of Cadmium Ions Using Schiff-Base Modified Carbon Paste Electrode: A Box-Behnken Design Approach -- Removal of Copper Ions from Aqueous Solution Using Waste Mill Scales -- Gelation Behavior of Polyacrylamide Reinforced with Nano-Silica for Water Shutoff Treatment in Oil Field -- Gas Permeation Properties of Multiwalled Carbon Nanotubes on Polyether Block Amide (Pebax-1657)/Polyethersulfone(PES) Blend Mixed Matrix Membrane for CO2/CH4 Separation -- Effect of Addition of Polyethylene Glycol into Trivalent Chromium Bath on Chromium Coating -- Chapter 7: Functional Materials -- Band Gap Narrowing of MgO and Mg0.95Zn0.05O Nanostructures -- Pulsed Laser Ablation Produced Copper Nanoparticles (CUO NPS): The Influence of Time -- Corrosion Inhibition Properties of Epoxy-Zinc Oxide Nanocomposite Coating on Stainless Steel 316L -- Sound Absorption Characteristics of a Single Micro-Perforated Panel Backed by a Natural Fiber Absorber Material -- PCM-Based for Heat Storage in Solar-Thermal Converter -- Chapter 8: Functional Glasses and Glass-Ceramics -- Physical, Absorption and Photoluminescence Performance of Eu3+ Doped Lithium Chloride Tellurite Glass -- Luminescence Properties of Magnesium Sodium Borate Glasses Doped Sm3+, Dy3+ and Eu3+ -- Elastic Properties of Vanadium Doped Silica-Borotellurite Glasses. Physical, Mechanical and Structural Properties of Yttrium Oxide Doped Zinc Borate Glasses -- Chapter 9: Biomaterials -- Biocompatible Hydroxyapatite Derive from Selayang Fish Bone via Mechanochemical Treatment -- Poly(N-Isopropylacrylamide) Microgel Synthesised by Emulsion Polymerization -- Effect of Temperature and Frequency on the Acoustic Properties of Konjac Glucomannan-Agar Gels as Tissue Mimicking Materials -- Keyword Index -- Author Index. Selected peer-review full text papers from the 30th Regional Conference of Solid State Science and Technology (RCSSST) Special topic volume with invited peer-reviewed papers only. EBL202104 XX SzGeCERN BOOK Ozair, Lailatun Nazirah Khalil, Azira https://cds.cern.ch/auth.py?r=EBLIB_P_6319122 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2762300 BOOK MIGRATED 2762294 SzGeCERN 20210421183909.0 9783035736014 electronic version electronic version oai:cds.cern.ch:2762294 cerncds:BOOK EBL 6319109 eng TJ260 .C667 2020 621.40220113 Makinde, Oluwole Daniel Computational analysis of heat transfer in fluids and solids II Zurich Trans Tech Publications 2020 205 p ebook Defect and diffusion forum 401 Intro -- Computational Analysis of Heat Transfer in Fluids and Solids II -- Preface -- Table of Contents -- A Study of Transient Heat Transfer through a Moving Fin with Temperature Dependent Thermal Properties -- Determination of Proper Fin Length of a Convective-Radiative Moving Fin of Functionally Graded Material Subjected to Lorentz Force -- A Note on the Similar and Non-Similar Solutions of Powell-Eyring Fluid Flow Model and Heat Transfer over a Horizontal Stretchable Surface -- Biomechanics of Surface Runoff and Soil Water Percolation -- Finite Element Numerical Investigation into Unsteady MHD Radiating and Reacting Mixed Convection Past an Impulsively Started Oscillating Plate -- Analytical and Numerical Study on Cross Diffusion Effects on Magneto-Convection of a Chemically Reacting Fluid with Suction/Injection and Convective Boundary Condition -- Physical Aspects on MHD Micropolar Fluid Flow Past an Exponentially Stretching Curved Surface -- MHD Flow of Non-Newtonian Molybdenum Disulfide Nanofluid in a Converging/Diverging Channel with Rosseland Radiation -- Buoyancy Effects on Human Skin Tissue Thermoregulation due to Environmental Influence -- Turbulent Heat Transfer Characteristics of a W-Baffled Channel Flow - Heat Transfer Aspect -- MHD Boundary Layer Flow over a Cone Embedded in Porous Media with Joule Heating and Viscous Dissipation -- Squeeze Film Lubrication on a Rigid Sphere and a Flat Porous Plate with Piezo-Viscosity and Couple Stress Fluid -- Influence of Homogeneous and Heterogeneous Chemical Reactions and Variable Thermal Conductivity on the MHD Maxwell Fluid Flow due to a Surface of Variable Thickness -- Heat Transfer Analysis of Three-Dimensional Mixed Convective Flow of an Oldroyd-B Nanoliquid over a Slippery Stretching Surface. Effects of Variable Fluid Properties on Oblique Stagnation Point Flow of a Casson Nanofluid with Convective Boundary Conditions -- Keyword Index -- Author Index. Special topic volume with invited peer-reviewed papers only. EBL202104 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6319109 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2762294 BOOK MIGRATED 2762241 SzGeCERN 20210421183911.0 9789386530820 electronic version electronic version 9788179930700 print version oai:cds.cern.ch:2762241 cerncds:BOOK EBL 6318181 eng HD30.255 .C543 2005 658.408 Narang, R K Cleaner is cheaper case studies of corporate environmental excellence New Delhi Energy and Resources Institute 2003 163 p ebook EBL202104 XX SzGeCERN EBL Manufacturing industries-Environmental aspects-India-Case studies EBL Industrial management-Environmental aspects-India-Case studies BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6318181 ebook n 202114 21 PUBLIC https://catalogue.library.cern/legacy/2762241 BOOK MIGRATED 2762235 SzGeCERN 20210421183912.0 9780128233368 electronic version electronic version 9780128233320 print version oai:cds.cern.ch:2762235 cerncds:BOOK EBL 6317401 eng TJ930 .C677 2020 621.8672 De Landtsheer, Gino Corrosion under insulation (CUI) guidelines technical guide for managing CUI 3rd ed. San Diego, CA Elsevier Science & Technology 2020 182 p ebook European federation of corrosion (EFC) Intro -- Corrosion Under Insulation (CUI) Guidelines: Technical Guide for Managing CUI -- Copyright -- Dedication -- Contents -- European Federation of Corrosion (EFC) publications: Series introduction -- Volumes in the EFC series list -- 1 Introduction -- 1.1 Purpose of the document -- References -- 2 Economic consideration -- 2.1 Statistical analysis -- 2.2 Size of the issue -- 2.2.1 Safety and integrity -- 2.2.2 Environment -- 2.2.3 Revenue or production loss -- 2.2.4 Reputation -- 2.2.5 Collateral damage cost -- 2.2.6 Online leak sealing cost -- 2.2.7 Repair and/or replacement, fabrication and installation costs -- 2.2.8 Fitness for continued service -- 2.2.9 On-stream inspection and non-destructive examination and testing -- 2.3 Key performance indicators -- 3 Ownership and responsibility -- 3.1 Senior management -- 3.2 Engineering manager -- 3.3 Maintenance -- 3.4 Operations -- 3.5 Inspection -- 3.6 Members of a project team -- Corrosion-under-insulation program -- 3.7 Engineering and EPC(m) -- 4 The risk-based inspection methodology for CUI -- 4.1 Introduction -- 4.2 High-level prioritization -- 4.2.1 Health &amp -- safety consequences (A) -- 4.2.2 Environmental consequences (B) -- 4.2.3 Economic consequences (C) -- 4.2.4 Impact on reputation (D) -- 4.3 Data validation -- 4.3.1 The need for data validation -- 4.3.2 Different aspects of a data validation -- 4.3.3 Implementation of data validation -- 4.3.4 CUI and mothballing of equipment -- 4.4 Challenging the need for insulation -- 4.5 Using RBI to design CUI inspection plans -- 4.5.1 Preparation of an RBI analysis -- 4.5.2 Susceptibility factors -- 4.5.2.1 Operating temperature -- 4.5.2.2 Coating status -- 4.5.2.3 Cladding/insulation condition -- 4.5.2.4 Available corrosion allowance -- 4.5.2.5 External coil/steam tracing. 4.5.2.6 External environment -- 4.5.3 Qualitative RBI analysis -- 4.5.4 Semiquantitative RBI analysis -- 4.5.4.1 Consequence of CUI failure -- 4.5.4.2 Probability of CUI failure -- 4.5.4.3 Risk of CUI failure -- 5 Inspection activities and strategy -- 5.1 General considerations -- 5.2 Typical locations on piping circuits susceptible to corrosion-under-insulation -- 5.3 Typical locations on equipment susceptible to corrosion-under-insulation -- 5.3.1 Vessels, columns and tanks -- 5.3.2 Heat exchangers -- 5.4 Examples of a risk-based inspection plan -- 5.4.1 Evaluated risk level: High-extreme -- 5.4.2 Evaluated risk level: Medium-high -- 5.4.3 Evaluated risk level: Medium -- 5.4.4 Evaluated risk level: Low -- 5.4.5 Evaluated risk level: Negligible -- 6 Non-destructive examination and testing screening techniques for corrosion-under-insulation -- 6.1 Non-destructive examination and testing techniques -- Reference -- 7 Recommended best practice to mitigate CUI -- 7.1 Background -- 7.1.1 Key parameters -- 7.1.2 Assumptions -- 7.2 Current corrosion-under-insulation methods -- 7.3 How to achieve an increased life expectancy -- 7.3.1 Corrosion-under-insulation preventive measures: Recent approaches -- 7.3.2 Material upgrade possibilities -- 7.3.3 Non-metallic cladding systems -- 7.4 Benefits of thermally sprayed aluminum -- 7.5 Use of personnel protective guards -- 7.6 Use of aluminum foil to mitigate chloride external stress corrosion cracking of austenitic stainless steel -- References -- 8 Design for the prevention of corrosion-under-insulation -- 8.1 Introduction -- 8.2 Challenge the requirements for insulation -- 8.3 Plant layout -- 8.4 Mechanical considerations: Equipment and tanks -- 8.5 Mechanical considerations: Piping -- 8.6 Mechanicals of construction -- 8.7 Coatings and wrappings -- 8.7.1 Organic coatings. 8.7.2 Thermally sprayed aluminum coatings (TSA) -- 8.7.3 Insulation coatings -- 8.7.4 Aluminum wrapping -- 8.8 Insulation system -- 8.9 Weatherproofing -- 8.9.1 Terminations -- 8.10 Implementation -- References -- Appendix A Appendix A: Cost-economic evaluation -- Appendix B Appendix B: Quality assurance -- Appendix C Appendix C: Additional guidelines on the implementation of CUI best practices -- C.1 Maintenance and remediation issues -- C.1.1 Roles and responsibilities of maintenance and operations -- C.1.1.1 Maintenance -- C.1.1.2 Operations -- C.1.2 Safety considerations -- C.1.3 Safety, health and environment concerns with asbestos and lead paint removal -- C.2 Minimum standards -- C.3 Types of insulation service -- C.3.1 Equipment in cyclic service -- C.3.2 Equipment in sweating service -- C.3.3 Equipment adjacent to cooling towers -- C.3.4 Equipment close to freezing point -- C.3.5 Deluge systems -- C.3.6 Steam tracing -- C.4 Surface preparation -- C.4.1 Overview -- C.4.2 Scaffolding -- C.4.3 Surface preparation -- C.4.4 Grid blasting -- C.4.5 Wet abrasion (jet cleaning) -- C.4.6 Water washing at a pressure -- C.4.7 Wet abrasive blasting at a low pressure -- C.4.8 Steam cleaning -- C.4.9 Vacuum blasting -- C.4.10 Mechanical surface preparation -- C.4.10.1 Mechanical brushing -- C.4.10.2 Descaling -- C.4.10.3 Pin hammer -- C.4.10.4 Sanding with grinding discs -- C.4.11 Non-dust (vacuum) grit blast technology -- C.4.11.1 Sponge jet -- C.4.11.2 Solid carbon dioxide -- Appendix D Appendix D: Coatings -- D.1 General comments -- D.2 Protective coatings -- D.3 Thermally sprayed aluminum -- D.4 Surface and moisture tolerance -- D.5 Alternative coatings/tape coatings -- D.6 Coating austenitic and duplex stainless steels under insulation -- D.7 Coating carbon steels under thermal insulation and fireproofing. References -- Further reading -- Appendix E Appendix E: Application of thermally sprayed aluminum -- E.1 Application of thermally sprayed coatings -- E.1.1 Oxy-fuel wire spraying (flame spraying) -- E.1.2 Twin-wire electric arc spraying -- E.2 Use of organic topcoats -- E.3 Application strategies -- E.4 Thermally sprayed aluminum specification -- E.5 Definitions -- E.6 Referenced codes, standards and specifications -- E.7 Coating philosophy -- E.8 Coating system -- E.9 Thermally sprayed aluminum material -- E.10 Seal coat -- E.11 Design -- E.12 Surface preparation -- E.13 Weather and surface conditions -- E.14 Application process -- E.15 Specific requirements for on-site thermally sprayed aluminum application -- E.16 Piping field welds -- E.17 Inspection and acceptance -- E.18 Documentation -- E.19 Surface and moisture tolerance -- E.20 Alternative coatings/tape coatings -- Appendix F Appendix F: Types and forms of insulation material -- F.1 Mineral fiber -- F.2 Low-density glass fiber -- F.3 Calcium silicate -- F.4 Cellular glass -- F.5 Ceramic fiber paper -- F.6 Glass rope insulation -- F.7 Self-setting cement -- F.8 Flexible reusable insulation covers -- F.9 Preformed rigid polyurethane foam (polyurethane-polyisocyanurate) -- F.10 Flexible elastomeric foam -- F.11 Flexible elastomeric foam (ethylene propylene diene monomer) -- F.12 Polyethylene -- F.13 Perlite -- F.14 Vermiculite -- F.15 Aerogels -- Appendix G Appendix G: Cladding and jacketing materials -- G.1 Metallic cladding materials -- G.1.1 Aluminized steel sheeting -- G.1.2 Aluminum-zinc-coated sheeting -- G.1.3 Galvanized steel sheeting -- G.1.4 Stainless steel jacketing -- G.1.5 Aluminum sheeting -- G.2 Non-metallic cladding materials -- G.2.1 Ultraviolet-cured fiber-reinforced materials -- G.2.2 Hypalon (chlorosulphonated polyethylene). Appendix H Appendix H: Use of protection guards -- H.1 Design considerations -- H.2 Method guidance notes -- Appendix I Appendix I: Non-destructive examination and testing techniques -- I.1 Visual inspection -- I.2 Manual ultrasonic thickness measurement through inspection openings -- I.3 Radiography -- I.3.1 Profile radiography method -- I.3.2 Flash radiography method -- I.4 Real-time radiography -- I.5 Guided-wave ultrasonic measurements -- I.6 Pulsed-eddy-current technique -- I.7 Digital radiography -- I.8 Infrared thermography -- I.9 Neutron backscattering -- I.10 Dye penetrant testing -- Appendix J Appendix J: Case studies -- J.1 Case study 1 -- J.1.1 Description of corrosion mechanism or detail -- J.1.2 Action taken -- J.1.3 Lessons learned and design change -- J.2 Case study 2 -- J.2.1 Description of corrosion mechanism or detail -- J.2.2 Action taken -- J.2.3 Lessons learned and design change -- J.3 Case study 3 -- J.3.1 Description of corrosion mechanism or detail -- J.3.2 Action taken -- J.3.3 Lessons learned and design change -- J.4 Case study 4 -- J.4.1 Description of corrosion mechanism or detail -- J.4.2 Action taken -- J.4.3 Lessons learned and design change -- J.5 Case study 5 -- J.5.1 Description of corrosion mechanism or detail -- J.5.2 Action taken -- J.5.3 Lessons learned and design change -- J.6 Case study 6 -- J.6.1 Description of corrosion mechanism or detail -- J.6.2 Action taken -- J.6.3 Lessons learned and design change -- J.7 Case study 7 -- J.7.1 Description of corrosion mechanism or detail -- J.7.2 Action taken -- J.8 Case study 8 -- J.8.1 Description of corrosion mechanism or detail -- J.8.2 Action taken -- J.8.3 Lessons learned and design change -- Index. EBL202104 XX SzGeCERN BOOK https://cds.cern.ch/auth.py?r=EBLIB_P_6317401 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2762235 BOOK MIGRATED 2761971 SzGeCERN 20210421183916.0 9783319911311 electronic version electronic version 9783319911304 print version oai:cds.cern.ch:2761971 cerncds:BOOK EBL 6306608 eng QA76.9.H85 .D578 2018 004.019 Streitz, Norbert Distributed, ambient and pervasive interactions 6th international conference, DAPI 2018, held as part of HCI international 2018, Las Vegas, NV, USA, July 15-20, 2018, proceedings, part II Cham Springer International Publishing AG 2018 394 p ebook Lecture notes in computer science 10922 Intro -- Foreword -- HCI International 2018 Thematic Areas and Affiliated Conferences -- Contents - Part II -- Contents - Part I -- Human Activity and Context Understanding -- Understanding Animal Behavior Using Their Trajectories -- Abstract -- 1 Introduction -- 2 Related Work and Literature Review -- 2.1 Stay Point -- 2.2 Density-Based Clustering -- 2.3 Term Frequency and Inverse Document Frequency -- 2.4 Sentiment Analysis and Topic Models -- 3 Methodology -- 3.1 Key Point Extraction -- 3.2 Discriminative Modeling -- 3.3 Generative Modeling -- 4 Experiment, Results and Discussions -- 5 Conclusions -- Acknowledgements -- References -- Visualization of Real World Activity on Group Work -- 1 Introduction -- 2 Methods -- 2.1 Individual Attention Score -- 2.2 Hand visibility score -- 2.3 Individual Activity Score -- 3 Experiments and Discussions -- 3.1 Dataset Construction -- 3.2 Group Work Analysis -- 3.3 Analysis of Score Combinations -- 4 Conclusions -- References -- A Multi-level Localization System for Intelligent User Interfaces -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Workplace Privacy -- 2.2 Localization in Industrial Environments -- 2.3 Privacy-Aware Localization in Industrial Environments -- 3 Conceptual Approach -- 4 Prototypical Implementation of a Multi-level-Localization System -- 4.1 First Level of Localization -- 4.2 Second Level of Localization -- 4.3 Third Level of Localization -- 4.4 Integration and Central Logistic System (ISIPlus®) -- 5 Summary and Outlook -- Acknowledgement -- References -- Survey on Vision-Based Path Prediction -- 1 Introduction -- 2 Feature Extraction from a Video -- 2.1 Environmental Features -- 2.2 Target Features -- 3 Prediction Methods -- 3.1 Bayesian Models -- 3.2 Energy Minimization -- 3.3 Deep Learning -- 3.4 Inverse Reinforcement Learning -- 3.5 Other Approaches -- 4 Datasets. 4.1 Videos of Entire Scenes -- 4.2 Car-Mounted Cameras -- 4.3 First-Person View -- 5 Conclusions -- References -- Neural Mechanisms of Animal Navigation -- Abstract -- 1 Neurobiological Research of Animal Navigation: Why It Matters -- 2 Information Used for Navigation -- 3 Exploring the Neural Bases of Navigation in Model Animals -- 3.1 Insects -- 3.2 Rodents -- 3.3 Worms -- 4 Engineering and Computational Methods Used in Animal Navigation Research -- 4.1 Navigation Tasks Using VR -- 4.2 Discovering Features of Navigation Behavior Using Machine Learning -- 5 Future Prospects -- Acknowledgments -- References -- Towards Supporting Multigenerational Co-creation and Social Activities: Extending Learning Analytics ... -- Abstract -- 1 Introduction -- 2 Limitations to Conventional Systems -- 3 General Approach -- 4 Understanding Elderly Learners -- 5 Sensing the Contexts of Learners -- 6 Contextual Reminders -- 7 Pervasive and Inclusive Learning Analytics -- 8 Conclusion -- Acknowledgement -- References -- Designing a Mobile Behavior Sampling Tool for Spatial Analytics -- Abstract -- 1 Introduction -- 2 Limitations to Conventional Urban Sensing -- 3 Challenges for Human-in-the-Loop Urban Sensing -- 3.1 In-Situ Sampling -- 3.2 Estimating Social Activities and Emotions -- 3.3 Improving Data Quality in Context -- 3.4 Meta-sensing -- 3.5 Context-Aware Privacy and Data Modeling -- 4 Smart Notifications for In-Situ Sampling -- 5 Simulation-Based Modeling of Spaces and Clusters -- 6 The Mobile Behavior Sampling Tool -- 7 Conclusion -- Acknowledgement -- References -- Design and Evaluation of Seamless Learning Analytics -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Design of Seamless Learning Environments -- 2.2 Authentic Learning with Learning Analytics -- 3 Previous Work -- 3.1 AETEL -- 3.2 SCROLL -- 3.3 VASCORLL -- 4 VASCORLL 2.0 -- 4.1 Design. 5 Evaluation -- 5.1 Participants -- 5.2 Procedure -- 5.3 Result -- 6 Discussion and Conclusion -- Acknowledgements -- References -- Easy-to-Install Methods for Indoor Context Recognition Using Wi-Fi Signals -- 1 Introduction -- 1.1 Background -- 1.2 Motivation -- 1.3 Research Content -- 2 Transferring Positioning Model for Device-Free Passive Indoor Localization -- 2.1 Background -- 2.2 Proposed Method -- 2.3 Evaluation -- 3 Detecting State Changes of Indoor Everyday Objects -- 3.1 Background -- 3.2 Proposed Method -- 3.3 Evaluation -- 4 Position Independent Gesture Recognition -- 4.1 Background -- 4.2 Methodology -- 4.3 Evaluation -- 5 Conclusion -- References -- Finding Discriminative Animal Behaviors from Sequential Bio-Logging Trajectory Data -- 1 Introduction -- 2 Problem Setup -- 3 Sequential Pattern Mining -- 3.1 Frequent Sequential Pattern Mining -- 3.2 PrefixSpan -- 3.3 Finding Discriminative Patterns -- 4 Applications to Two Data Sets in Bio-Logging Studies -- 4.1 Datasets -- Streaked Shearwater. -- 4.2 Parameter Setting -- 4.3 Results -- Streaked Shearwater. -- 5 Discussion -- References -- A Look at Feet: Recognizing Tailgating via Capacitive Sensing -- 1 Introduction -- 2 Related Work -- 3 Capacitive Sensing Grid -- 3.1 Capacitive Sensing Theory -- 3.2 Our Sensor-Grid Hardware -- 3.3 Data Analysis -- 4 Experiments and Results -- 4.1 Sensor Range and Robustness -- 4.2 Results -- 5 Conclusion -- References -- Sensing, Perception and Decision for Deep Learning Based Autonomous Driving -- 1 Introduction -- 2 Problem Setting in Autonomous Driving -- 2.1 Image Classification -- 2.2 Object Detection -- 2.3 Semantic Segmentation -- 2.4 Specific Object Recognition -- 3 Object Classification -- 4 Object Detection -- 5 Semantic Segmentation -- 6 Conclusion -- References -- Human Enhancement in Intelligent Environments. The Reconfigurable Wall System: Designing a Responsive Structure Reactive to Socio-Environmental Con ... -- Abstract -- 1 Background -- 1.1 Contextual Conditions -- 2 Design Process -- 2.1 Hardware Fabrication -- 2.2 Software Development -- 3 Four Things Learned -- 4 Future Work: Intelligent Dialogues -- 5 Import for HCI International Community -- References -- Can Machine Learning Techniques Provide Better Learning Support for Elderly People? -- 1 Introduction -- 2 Related Work -- 3 Contextual Bandit: Formulations and Results -- 3.1 Formulations -- 3.2 Context-Free Bandits -- 3.3 Contextual Bandit -- 3.4 Evaluation Methods for Contextual Bandit Algorithms -- 3.5 Experimental Results -- 4 Discussion -- 5 Conclusions -- References -- Holistic Quantified Self Framework for Augmented Human -- 1 Introduction -- 2 Augmented Human and Holistic Quantified Self -- 2.1 Digitalized Self and Augmented Human -- 2.2 Holistic Quantified Self -- 3 HQS Framework for Augmented Human -- 4 Prototype: HQS Framework -- 5 Future Work: Social Augmentation and Personal Companion -- 6 Conclusion -- References -- An Intuitive and Personal Projection Interface for Enhanced Self-management -- 1 Introduction -- 2 Related Work -- 2.1 Methods -- 2.2 Tools -- 2.3 Devices -- 3 Proposed Device -- 3.1 Concept Device -- 3.2 Main Interface -- 3.3 Gestures -- 3.4 Functions -- 3.5 Selv and Environment -- 4 Prototype -- 5 Experiments and Results -- 6 Conclusion -- References -- Potential of Wearable Technology for Super-Aging Societies -- 1 Introduction -- 2 Man-Machine Interface Based on Gestures -- 2.1 Gestures Design -- 2.2 Gesture Recommendation System -- 2.3 Result of User Study -- 3 Harvest Action Recognition in Tomato Yields -- 3.1 Measurement of Farm Work -- 3.2 Harvest Action Recognition -- 3.3 Harvest Map -- 4 Activity Sensing in Collaborative Work. 4.1 Sensing of Students' Activities -- 4.2 Visualizer of Group Activities -- 5 Conclusion -- References -- Evaluating Learning Style-Based Grouping Strategies in Real-World Collaborative Learning Environment -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Identification of Learning Styles -- 3.2 Group Formation Based on Learning Styles -- 3.3 Observation of Group Activeness -- 3.4 Measurement of Contribution -- 4 Experiment -- 4.1 The Target Course -- 4.2 Distribution of Learning Styles -- 4.3 Group Activeness -- 4.4 Distribution of Contributions -- 5 Conclusion -- References -- Behavior Mapping of Sketching in VR Space with Physical Tablet Interface -- Abstract -- 1 Introduction -- 2 VR-Based Digital Tablet Interactive Platform Design and Development -- 2.1 Technical Steps -- 2.2 Realization of Digital Tablet Space Positioning -- 2.3 Get Virtual Tablet Brush Gesture Module -- 3 Interactive Visual Feedback Effect Experimental Design in VR -- 3.1 Control Variables -- 4 Data Analysis -- 4.1 Operating Angle -- 4.2 Questionnaire Feedback -- 4.3 Space Overlap -- 4.4 Scale of Virtual Digital Display -- 4.5 Brush Display -- 5 Conclusion -- References -- Effective Learning Environment Design for Aging Well: A Review -- Abstract -- 1 Introduction -- 2 Educational Aspects of Aging and ICT -- 2.1 Motivation and Perception of ICT Use -- 2.2 Learning Environment Design from Face-to-Face Settings About ICT Use -- 2.3 Interface Design of Learning Environment for Elderly -- 3 Cognitive and Neural Aspects of Aging and Learning -- 3.1 ICT and Aging -- 3.2 Aging and Learning -- 3.3 Age Differences in Cognition -- 3.4 Training Effects on Cognitive and Metacognitive Functions -- 3.5 Summary -- 4 Conclusion -- Acknowledgement -- References -- Affect and Humour in Intelligent Environments -- Computing Atmospheres -- Abstract -- 1 Spatial Tricksters. 1.1 Fluid and Sensory Spaces. EBL202104 XX SzGeCERN BOOK Konomi, Shinichi https://cds.cern.ch/auth.py?r=EBLIB_P_6306608 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2761971 BOOK MIGRATED 2761968 SzGeCERN 20210421183916.0 9783319915814 electronic version electronic version 9783319915807 print version oai:cds.cern.ch:2761968 cerncds:BOOK EBL 6305114 eng QA76 .V578 2018 004 Chen, Jessie Y C Virtual, augmented and mixed reality 10th international conference, VAMR 2018, held as part of HCI international 2018, Las Vegas, NV, USA, July 15-20, 2018, proceedings, part I Cham Springer International Publishing AG 2018 492 p ebook Lecture notes in computer science 10909 Intro -- Foreword -- HCI International 2018 Thematic Areas and Affiliated Conferences -- Contents - Part I -- Contents - Part II -- Interaction, Navigation and Visualization in VAMR -- Determining Which Touch Gestures Are Commonly Used When Visualizing Physics Problems in Augmented ... -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Participants -- 3.2 AR Physics Application -- 3.3 Procedure -- 4 Outcome and Discussions -- 4.1 Touch Gestures Results -- 4.2 Students' Achievements -- 4.3 Discussion -- 4.4 Restrictions of the Study -- 5 Conclusions -- References -- Element Selection of Three-Dimensional Objects in Virtual Reality -- 1 Introduction -- 1.1 Contributions -- 2 Background -- 2.1 Review of Relevant Literature -- 2.2 User Interface Design -- 2.3 Current Industrial Use -- 2.4 Current Non-Industrial Use -- 3 Testing Methods -- 3.1 Interviews -- 3.2 Survey -- 4 Hypothesis -- 5 VR Prototype User Testing -- 5.1 Prototype Functions -- 5.2 Environment -- 5.3 Testing Procedure -- 6 Findings -- 7 Analysis and Recommendations -- 7.1 Tutorial -- 7.2 Environmental Context -- 7.3 Action Feedback -- 8 Conclusion -- References -- Design and Assessment of Two Handling Interaction Techniques for 3D Virtual Objects Using the Myo Ar ... -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Electromyography Signal Recognition -- 2.2 Myo Armband -- 2.3 Literature Review -- 3 Methodology -- 3.1 Assessing Gesture Force -- 3.2 Proposed Interaction Techniques -- 3.3 User Tests -- 4 Results -- 4.1 Task Completion: Usefulness -- 4.2 Task Duration: Efficiency of Use -- 4.3 Effectiveness -- 4.4 Learnability and Satisfaction -- 5 Conclusions -- References -- Surface Prediction for Spatial Augmented Reality -- 1 Introduction -- 2 System Model -- 3 Prediction Algorithm -- 4 Experimental Setup -- 5 Results -- 6 Conclusion -- 6.1 Future Work. References -- Real-Time Motion Capture on a Budget -- Abstract -- 1 Introduction -- 1.1 Background -- 1.2 Real-Time Puppeting -- 2 Stakeholder Goals -- 2.1 Army Research Laboratory Simulation and Training Technology Center (ARL STTC) -- 2.2 Impact to the Army -- 3 Prototyping -- 3.1 Research Problem -- 3.2 Commercial Game Studio Study -- 3.3 Software -- 3.4 Developmental Stages -- 4 Outcomes -- 5 Way Ahead -- 6 Conclusion -- Acknowledgements -- References -- A Novel Way of Estimating a User's Focus of Attention in a Virtual Environment -- Abstract -- 1 Background of the Experiment -- 1.1 Introduction -- 1.2 Related Works -- 1.3 Limitations of Eye Tracker in HMD -- 2 Hypotheses -- 3 Method -- 3.1 Participants -- 3.2 Equipment -- 3.3 Procedure -- 3.4 Results -- 4 Conclusion -- References -- Get Well Soon! Human Factors' Influence on Cybersickness After Redirected Walking Exposure in Virtual Reality -- 1 Introduction -- 2 Related Work -- 2.1 Human Factors in Virtual Reality -- 2.2 Cybersickness as Critical Factor -- 2.3 Cybersickness in Redirected Walking Applications -- 3 Method -- 3.1 Experiment Design -- 3.2 Variables -- 3.3 Analysis Procedure -- 3.4 Sample Description -- 4 Results -- 4.1 Quantitative Effects on Cybersickness -- 4.2 Qualitative Role of Cybersickness -- 5 Discussion -- 6 Conclusion -- References -- Dynamic Keypad - Digit Shuffling for Secure PIN Entry in a Virtual World -- Abstract -- 1 Introduction -- 2 Background -- 3 Related Work -- 3.1 Interaction Techniques -- 3.2 Security -- 3.3 Representation -- 4 Methods for Validation -- 4.1 Before Entering the World -- 4.2 External Mid-Session Validation -- 4.3 Internal Mid-Session Validation -- 4.4 Design -- 4.5 Implementation -- 5 Results -- 6 Conclusion -- References -- VR Evaluation of Motion Sickness Solution in Automated Driving -- Abstract -- 1 Introduction -- 2 Related Works. 3 Virtual Automated Vehicle Implementation -- 3.1 Development Tools -- 4 Experiment -- 4.1 Participants -- 4.2 Procedure -- 5 Results -- 6 Discussion and Future Work -- Acknowledgments -- References -- Enactive Steering of an Experiential Model of the Atmosphere -- 1 Introduction -- 1.1 Steerable Scientific Simulations -- 2 EMA: An Experiential Model of the Atmosphere -- 2.1 Visualization -- 2.2 Sonification -- 3 Enactive Scenarios -- 4 Participant Response -- 5 Conclusions -- References -- Reconstruction by Low Cost Software Based on Photogrammetry as a Reverse Engineering Process -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 The Reverse Engineering Process -- 2.2 Phase I: Scanning -- 2.3 Phase II: Reconstruction -- 2.4 Phase III: 3D Printing -- 3 Results -- 4 Discussion -- 5 Conclusions -- Funding -- References -- Simulation Sickness Evaluation While Using a Fully Autonomous Car in a Head Mounted Display Virt ... -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Virtual Reality -- 2.2 Simulation Sickness -- 2.3 Related Work -- 3 Methodology -- 3.1 Experimental Design and Procedure -- 3.2 Virtual Reality Driving Environment -- 3.3 Participants -- 3.4 Measurements -- 3.5 Data Analysis -- 4 Results -- 5 Discussion and Future Work -- References -- Visualizing Software Architectures in Virtual Reality with an Island Metaphor -- 1 Introduction -- 2 Software Visualization -- 3 Visual Metaphors and Environment -- 3.1 Islands -- 3.2 Visualization of Dependencies -- 3.3 Virtual Table -- 3.4 Virtual Environment -- 4 Interaction and Navigation -- 4.1 Displaying Textual Information -- 4.2 Virtual Personal Digital Assistant -- 5 Implementation -- 6 Related Work -- 7 Conclusion and Future Work -- References -- Interaction in Virtual Environments - How to Control the Environment by Using VR-Glasses in the Most ... -- Abstract. 1 Introduction -- 2 Related Work -- 2.1 Human-Machine-Interface -- 2.2 Virtual Reality - Interaction -- 2.3 Existing Controls -- 3 Requirements Analysis -- 3.1 Application Example -- 3.2 Requirements -- 4 Concept -- 4.1 Preliminary Experiment Defining Suitable Interaction Elements -- 4.2 Discussion of Different Interaction Elements -- 4.3 Direct User Interaction -- 4.4 Physical Control -- 4.5 Virtual Control -- 5 Implementation of the Software Prototype -- 6 Evaluation -- 6.1 Structure -- 6.2 Results -- 7 Conclusion -- References -- Sensor Data Fusion Framework to Improve Holographic Object Registration Accuracy for a Shared Augmen ... -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Sensor Data Fusion Framework -- 3.1 Implementation Results and Discussion -- 3.2 Comparative Study on Registration Error of Shared Augmented Reality Experiences: HoloToolkit Sha ... -- 4 Shared Augmented Reality Application to Support Mission Planning Scenario -- 4.1 Stand Alone Application -- 4.2 Shared Augmented Reality Application -- 5 Conclusion and Future Work -- Acknowledgments -- References -- Using Body Movements for Running in Realistic 3D Map -- Abstract -- 1 Introduction -- 2 Goal and Approach -- 3 Running Support System -- 3.1 Realistic 3D Map -- 3.2 Moving Forward Mechanism -- 3.3 Horizontal Rotation -- 3.4 Posture Control -- 3.5 Collision Control -- 4 Implementation -- 4.1 Body Movement as Input -- 4.2 Body Movement-Based Features -- 5 Related Work -- 6 Preliminary Evaluation -- 6.1 Participants and Method -- 6.2 Results -- 7 Conclusions and Future Work -- References -- VRowser: A Virtual Reality Parallel Web Browser -- Abstract -- 1 Introduction and Motivation -- 2 Related Work -- 2.1 Web Browsing in Virtual Environments -- 2.2 Commercial VR Web Browsing Systems -- 2.3 Web Workspaces -- 3 VRowser -- 3.1 Design Factors -- 3.2 VRowser Concept. 3.3 Implementation -- 4 Evaluation -- 4.1 User Study -- 5 Conclusion -- References -- Construction of Experimental System SPIDAR-HS for Designing VR Guidelines Based on Physiological Beh ... -- Abstract -- 1 Introduction -- 1.1 Background -- 1.2 Purpose and Overview -- 2 VR System Constructed in this Study -- 2.1 System Configuration -- 2.2 SPIDAR -- 2.3 Outline of the Experimental System Using SPIDAR-HS -- 2.4 Measurement of Position Error of Working Space -- 3 Experiment 1: Ball-Catching Task -- 3.1 Overview -- 3.2 Implementation -- 3.3 Results and Discussions -- 4 Experiment 2: Rod-Tracking Task -- 4.1 Overview -- 4.2 Implementation -- 4.3 Result and Discussion -- 5 Conclusion and Future Work -- Acknowledgement -- References -- Augmented, Mixed, and Virtual Reality Enabling of Robot Deixis -- 1 Introduction -- 2 A Framework for Mixed-Reality Deictic Gesture -- 2.1 Conceptual Framework -- 2.2 Analysis of Mixed-Reality Deictic Gestures -- 2.3 Combination of Mixed-Reality Deictic Gestures -- 3 Enabling Deictic Capabilities for Armless Robots Using Mixed-Reality Robotic Arms -- 3.1 Kinematics -- 3.2 Design Patterns -- 4 An Interface for Virtual Reality Teleoperation -- 4.1 Previous Work -- 4.2 Integrated Approach -- 5 Conclusion -- References -- Embodiment, Communication and Collaboration in VAMR -- Is This Person Real? Avatar Stylization and Its Influence on Human Perception in a Counseling Training Environment -- Abstract -- 1 Introduction -- 1.1 Background -- 1.2 Avatar Realism -- 1.3 Motion Capture Technology -- 1.4 Puppeteering -- 1.5 Stylization -- 2 Stakeholder Goals -- 2.1 U.S. Army Research Laboratory Simulation and Training Technology Center (ARL STTC) -- 2.2 Impact to the Army -- 2.3 Defense Equal Opportunity Management Institute (DEOMI) -- 2.4 Impact to DEOMI -- 3 Method -- 3.1 Participants -- 3.2 Experimental Design -- 3.2.1 Avatar Videos. 3.2.2 Perceived Realism. EBL202104 Computing and Computers SzGeCERN BOOK Fragomeni, Gino https://cds.cern.ch/auth.py?r=EBLIB_P_6305114 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2761968 BOOK MIGRATED 2761961 SzGeCERN 20210421183917.0 9783319682044 electronic version electronic version 9783319682037 print version oai:cds.cern.ch:2761961 cerncds:BOOK EBL 6303975 eng QA76.9.A25 .A383 2020 005.8 Fernandez, Miriam The semantic web - ISWC 2017 16th international semantic web conference, Vienna, Austria, October 21-25, 2017, proceedings, part II Cham Springer International Publishing AG 2017 427 p ebook Lecture notes in computer science 10588 Intro -- Preface -- Organization -- Abstracts of Invited Talks -- From Relational to Semantic Data Mining -- Ontologies for the Modern Age -- Applied Semantics: Beyond the Catalog -- Contents -- Part II -- Contents - Part I -- Resource Track -- Diefficiency Metrics: Measuring the Continuous Efficiency of Query Processing Approaches -- 1 Introduction -- 2 Related Work -- 3 Motivating Example -- 4 The Diefficiency Metrics -- 4.1 dief@t: Diefficiency at Time t -- 4.2 dief@k: Diefficiency at k Answers -- 4.3 Extensions and Properties of dief@t and dief@k -- 5 Empirical Study -- 5.1 Measuring the Performance of SPARQL Query Processing Approaches with Metrics from the Literature and dief@t -- 5.2 Measuring the Continuous Answer Rate of SPARQL Query Processing Approaches with dief@k -- 6 Conclusions and Future Work -- References -- CodeOntology: RDF-ization of Source Code -- 1 Introduction -- 2 Related Work -- 3 The Ontology -- 4 The Parser -- 5 Experiments -- 6 Conclusions and Future Work -- References -- Linked Data Publication of Live Music Archives and Analyses -- 1 Introduction and Context -- 2 The Collection -- 3 Modelling, Ontologies and Vocabularies -- 4 Usage and Access -- 5 Conclusions and Future Work -- References -- The MedRed Ontology for Representing Clinical Data Acquisition Metadata -- 1 Introduction -- 2 Related Work -- 3 Design Principles -- 4 Implementation -- 5 Exploitation and Discussion -- 6 Conclusion -- References -- IGUANA: A Generic Framework for Benchmarking the Read-Write Performance of Triple Stores -- 1 Introduction -- 2 The Iguana Framework -- 2.1 Overview -- 2.2 Input Parameters -- 2.3 Anatomy of a Test Case -- 3 Anatomy of a Stress Test -- 3.1 Query Component -- 3.2 Update Component -- 4 Evaluation -- 4.1 Experimental Setup -- 4.2 Results and Discussion -- 5 Related Work -- 6 Conclusions and Future Work -- References. Ireland's Authoritative Geospatial Linked Data -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Approach -- 3.1 URI Strategy -- 3.2 Knowledge Organization: Different Representations -- 3.3 Knowledge Organization: Evolution of Geometries -- 4 Discussion -- 5 Conclusions and Future Work -- Acknowledgements -- References -- LOD-a-lot -- 1 Introduction -- 2 LOD-a-lot: Concepts and Benefits -- 3 Availability and Sustainability -- 4 LOD-a-lot Statistics Summary -- 5 Relevance of the Dataset -- 6 Conclusions and Future Work -- References -- IMGpedia: A Linked Dataset with Content-Based Analysis of Wikimedia Images -- 1 Introduction -- 2 Image Analysis -- 3 Ontology and Data -- 4 Dataset -- 5 Use-Cases -- 6 Conclusions and Future Work -- References -- WIDOCO: A Wizard for Documenting Ontologies -- 1 Introduction -- 2 WIDOCO: A Wizard for Documenting Ontologies -- 2.1 WIDOCO Overview -- 2.2 Guiding Users Through the Documentation Process -- 2.3 Extending the Generated Documentation -- 3 Usage and Community Adoption -- 4 Related Work -- 5 Conclusions and Future Work -- References -- The CEDAR Workbench: An Ontology-Assisted Environment for Authoring Metadata that Describe Scientific Experiments -- Abstract -- 1 State of Metadata in Scientific Repositories -- 2 CEDAR Workbench -- 2.1 System Architecture -- 2.2 Main Features -- 2.3 Community Uptake -- 3 Summary -- Acknowledgements -- References -- WebIsALOD: Providing Hypernymy Relations Extracted from the Web as Linked Open Data -- 1 Introduction -- 2 The Original IsADB Dataset -- 3 Dataset Modeling and Provision -- 4 Linking to DBpedia and YAGO -- 5 Computing Confidence Scores -- 6 Analysis of Resulting Dataset -- 7 Conclusion and Outlook -- References -- Ontology-Based Data Access to Slegge -- 1 Introduction -- 2 Data Gathering at Statoil -- 3 From Information Needs to Ontology and SPARQL Queries. 4 Slegge Database -- 5 Mapping Ontology to Slegge Database -- 6 Conclusions and Future Work -- References -- BiOnIC: A Catalog of User Interactions with Biomedical Ontologies -- 1 Understanding User Behavior by Analyzing Access Logs -- 2 BiOnIC Datasets Generation -- 3 BiOnIC Schema -- 4 VisIOn Web Application -- 5 Dataset Characteristics and Availability -- 6 Applications of the BiOnIC Datasets -- 6.1 Application 1: Characterizing User Behaviors -- 6.2 Application 2: Identifying Exploration and Querying Patterns in Ontologies -- 6.3 Application 3: Comparing BioPortal Access Modes and Temporal Influences -- 6.4 Applications and Areas of Research Enabled by BiOnIC -- 7 Conclusion -- References -- Neural Embeddings for Populated Geonames Locations -- 1 Introduction -- 2 Constructing Weighted Geonames Graph -- 3 Latent Space Embedding of Weighted Graph -- 3.1 Weighted DeepWalk -- 4 Applications and Extensions -- References -- Distributed Semantic Analytics Using the SANSA Stack -- 1 Introduction -- 2 Vision and Architecture -- 3 Use Cases -- 4 Related Work -- 5 Conclusions and Future Work -- References -- The MIDI Linked Data Cloud -- 1 Introduction -- 2 MIDI Linked Data -- 3 Applications -- 3.1 Semantic Web Research -- 3.2 Musicology and Music Information Retrieval (MIR) -- 4 Conclusions -- References -- SocialLink: Linking DBpedia Entities to Corresponding Twitter Accounts -- 1 Introduction -- 2 SocialLink Pipeline -- 3 SocialLink Dataset -- 4 Using SocialLink -- 5 Conclusions and Future Work -- References -- UNDO: The United Nations System Document Ontology -- 1 Introduction -- 2 Methods and Material -- 3 Describing United Nations Documents -- 3.1 Documents, Versions, and Mentioned Entities -- 3.2 Relations -- 3.3 Annotations to documents -- 3.4 Terms and their semantics -- 3.5 Values, time and context -- 3.6 Workflows and their executions. 4 Uses of UNDO in the United Nations -- 5 Conclusions -- References -- One Year of the OpenCitations Corpus -- 1 Introduction -- 2 Related Works -- 3 Building the OpenCitations Corpus -- 4 Community Uptake and Statistics -- 5 Conclusions -- References -- An Entity Relatedness Test Dataset -- Abstract -- 1 Introduction -- 2 Related Work -- 3 A Generic Relationship Path Finding and Ranking Process -- 4 Constructing the Entity Relatedness Test Dataset -- 4.1 Selecting Entity Pairs -- 4.2 Finding Relationship Paths -- 4.3 Mapping Entities -- 4.4 Ranking the Relationship Paths -- 5 Conclusions and Future Work -- Acknowledgments -- References -- RSPLab: RDF Stream Processing Benchmarking Made Easy -- 1 Introduction -- 2 RSPLab -- 3 RSPLab In-Use -- 4 Related Work -- 5 Conclusion -- References -- LC-QuAD: A Corpus for Complex Question Answering over Knowledge Graphs -- 1 Introduction -- 2 Relevance -- 3 Dataset Generation Workflow -- 4 Dataset Characteristics -- 5 Availability and Sustainability -- 6 Conclusion and Future Work -- References -- PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking -- 1 Introduction -- 2 PDD Construction -- 2.1 PDD Facts Generation -- 2.2 Linking PDD to Biomedical Knowledge Graphs -- 3 Statistics and Evaluation -- 4 Related Work -- 5 Conclusion and Future Work -- References -- In-Use Track -- A Controlled Crowdsourcing Approach for Practical Ontology Extensions and Metadata Annotations -- Abstract -- 1 Introduction -- 2 Motivation: Metadata Diversity in Ecology and Environmental Sciences -- 3 A Socio-Technical Approach for Controlled Crowdsourcing of Ontology Extensions and Metadata Annotations -- 4 The Linked Earth Framework -- 4.1 Annotation Framework: The Linked Earth Platform -- 4.2 Initial Core Ontology -- 4.3 Community Organization and Support. 4.4 Ontology Revision and Update Framework -- 4.5 Incentives -- 5 The Linked Earth Community Uptake -- 6 Discussion -- 7 Related Work -- 8 Conclusions -- Acknowledgements -- References -- An Investigative Search Engine for the Human Trafficking Domain -- 1 Introduction -- 2 Related Work -- 3 Motivation -- 4 Architectural Overview -- 4.1 Knowledge Graph Construction (KGC) -- 4.2 Storage, Representation and Indexing -- 4.3 Search and Querying -- 5 Real-World Usage -- 5.1 Case Study -- 5.2 User Studies: Protocol and Observations -- 6 Future Work and Conclusion -- References -- Lessons Learned in Building Linked Data for the American Art Collaborative -- 1 Introduction -- 2 Mapping the Data -- 3 Linking and Reviewing the Data -- 4 Using the Data -- 5 Related Work -- 6 Discussion -- References -- Modeling and Using an Actor Ontology of Second World War Military Units and Personnel -- 1 Introduction -- 2 Use Case and Datasets -- 3 Actor Ontology Model -- 4 Warsampo Actor Data -- 5 The WarSampo Portal -- 5.1 The Person Perspective -- 5.2 The Military Unit Perspective -- 5.3 The Kansa Taisteli Magazine Perspective -- 5.4 Photographs -- 6 Related Work, and Discussion -- References -- Sustainable Linked Data Generation: The Case of DBpedia -- 1 Introduction -- 2 Background and Related Work -- 2.1 State of the Art -- 2.2 DBpedia Extraction Framework -- 3 Limitations and Requirements -- 3.1 Limitations -- 3.2 Requirements -- 4 Sustainable DBpedia EF with RML -- 4.1 Mapping Rules Translation -- 4.2 Transformations Decoupling -- 4.3 Mapping Rules Execution -- 4.4 New DBpedia Architecture -- 5 Evaluation -- 5.1 Coverage -- 5.2 Performance -- 5.3 Flexibility -- 6 Conclusions and Future Work -- References -- Semantic Rule-Based Equipment Diagnostics -- 1 Introduction -- 2 Signal Processing Language sigRL -- 3 System Implementation and Deployment in Siemens. 4 Siemens Experiments. EBL202104 XX SzGeCERN BOOK Tamma, Valentina Lecue, Freddy Cudré-Mauroux, Philippe Sequeda, Juan Lange, Christoph Heflin, Jeff d'Amato, Claudia https://cds.cern.ch/auth.py?r=EBLIB_P_6303975 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2761961 BOOK MIGRATED 2761932 SzGeCERN 20210421183918.0 9783319951652 electronic version electronic version 9783319951645 print version oai:cds.cern.ch:2761932 cerncds:BOOK EBL 6307348 eng QA75.5-76.95 004 Gervasi, Osvaldo Computational science and its applications - ICCSA 2018 18th international conference, Melbourne, VIC, Australia, July 2-5, 2018, proceedings, part II Cham Springer International Publishing AG 2018 804 p ebook Lecture notes in computer science 10961 Intro -- Preface -- Welcome to Melbourne -- Organization -- Keynote Speakers -- New Frontiers in Cloud Computing for Big Data and Internet-of-Things (IoT) Applications -- Approximation Problems for Digital Image Processing and Applications -- Contents - Part II -- Workshop Advanced Methods in Fractals and Data Mining for Applications (AMFDMA 2018) -- Numerical and Analytical Investigation of Chemotaxis Models -- 1 Introduction -- 2 Chemotaxis and Keller-Segel System -- 2.1 Variations of the Minimal Keller-Segel System -- 3 Finite Volume Scheme -- 3.1 Linear Finite Volume Scheme -- 3.2 Conservation Laws -- 3.3 Discrete Free Energy -- 4 Numerical Blow-Up -- 4.1 Two-Dimensional System -- 4.2 Non-conservative Finite Volume Scheme -- 5 Numerical Examples -- References -- Methodological Approach to the Definition of a Blockchain System for the Food Industry Supply Chain Traceability -- 1 Introduction -- 2 Blockchain -- 2.1 How Does a Blockchain Works? -- 2.2 Key Elements of a Blockchain Architecture -- 2.3 Characteristic of a Blockchain Network -- 3 Supply Chain -- 4 Supply Chain Meets Blockchain -- 4.1 The Application of Blockchain over the Supply Chain -- 5 Conclusions -- References -- Implementation Phase Methodology for the Development of Safe Code in the Information Systems of the Ministry of Housing, City, and Territory -- 1 Introduction -- 2 Background -- 3 Analysis and Comparison of the Main Methodologies for the Development of Secure Code -- 3.1 Definition Criteria for Assessment -- 3.2 Evaluation of Methodologies and Preliminary Results -- 4 The DCS-MHCT Methodology -- 4.1 Inputs and Outputs -- 4.2 Phases -- 5 Conclusions -- References -- Cryptanalysis and Improvement of an ECC-Based Authentication Protocol for Wireless Sensor Networks -- 1 Introduction -- 2 Preliminaries -- 2.1 Elliptic Curve Cryptography -- 3 Review of Wu et al.'s Protocol. 3.1 Initialization -- 3.2 Registration -- 3.3 Login and Authentication -- 3.4 Password Change -- 4 Cryptanalysis of Wu et al.'s Protocol -- 4.1 User Impersonation Attack -- 4.2 Denial of Service Attack -- 5 The Proposed Authentication Protocol -- 5.1 Initialization -- 5.2 Registration -- 5.3 Login and Authentication -- 5.4 Password Change -- 6 Cryptanalysis of the Proposed Protocol -- 7 Conclusion -- References -- Optimization of the Choice of Individuals to Be Immunized Through the Genetic Algorithm in the SIR Model -- 1 Introduction -- 2 Related Work -- 3 Complex Networks -- 3.1 PageRank -- 4 Epidemiological Models -- 4.1 SIR Epidemiological Model -- 4.2 SIR's Mathematical Model -- 4.3 SIR Model over Networks -- 5 Genetic Algorithm -- 5.1 Modeling -- 5.2 Basic Operations -- 6 Methodology -- 6.1 The Algorithm -- 7 Results and Discussions -- 8 Conclusions -- References -- RUM: An Approach to Support Web Applications Adaptation During User Browsing -- 1 Introduction -- 2 Previous Work -- 3 The RUM Approach -- 3.1 Log Collection -- 3.2 Task Analysis -- 3.3 Knowledge Discovery in Logs -- 3.4 Service Module: Analyzing the User's Behavior Synchronously -- 4 Implementation of the TAWS Toolkit -- 5 Experiments and Results -- 5.1 Task Analysis During Browsing to Support Adaptive Web Applications -- 5.2 Adaptive Web Application Based on Patterns of User Behavior -- 6 Related Work -- 7 Conclusions -- References -- Gini Based Learning for the Classification of Alzheimer's Disease and Features Identification with Automatic RGB Segmentation Algorithm -- 1 Introduction -- 2 Materials and Methods -- 2.1 Materials -- 2.2 Methods -- 3 Experimental Results -- 3.1 Proposed Model for Automatic RGB Color Segmentation -- 4 Conclusion -- References. Classification of Erythematous - Squamous Skin Diseases Through SVM Kernels and Identification of Features with 1-D Continuous Wavelet Coefficient -- 1 Introduction -- 2 Data and Methods -- 2.1 Patient Details -- 2.2 Methods -- 3 Results and Discussion -- 3.1 Analysis of 1-D Continuous Wavelet Coefficient -- 3.2 Analysis of Principle Component Analysis -- 3.3 Analysis of Linear Discriminant Analysis -- 3.4 Classification of Analysis Results with SVM Kernels Algorithms -- 4 Conclusion -- References -- ANN Classification of MS Subgroups with Diffusion Limited Aggregation -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data -- 2.2 Methods -- 3 Experimental Results -- 3.1 Analysis of Diffusion Limited Aggregation -- 3.2 Analysis of ANN Algorithms -- 4 Conclusion -- References -- Workshop Advances in Information Systems and Technologies for Emergency Management, Risk Assessment and Mitigation Based on the Resilience Concepts (ASTER 2018) -- Geo-environmental Study Applied to the Life Cycle Assessment in the Wood Supply Chain: Study Case of Monte Vulture Area (Basilicata Region) -- Abstract -- 1 Introduction -- 1.1 Life Cycle Assessment Methodology (LCA) -- 1.2 Water Footprint Methodology for Evaluating and Managing Water Sustainability -- 2 Study Area -- 2.1 Geology and Hydrogeology -- 2.2 Land Use and Pedology -- 3 Methodology and Data Collection -- 3.1 Water Footprint Calculation Method -- 3.2 Acquisition and Analysis of Input Data -- 4 Results and Discussion -- 4.1 Calculation of the Water Footprint in the Monte Vulture Area: CROPWAT Method -- 4.2 Calculation of the Crop Water Requirement with the CROPWAT Model -- 5 Conclusions -- References -- A Preliminary Method for Assessing Sea Cliff Instability Hazard: Study Cases Along Apulian Coastline -- Abstract -- 1 Introduction -- 2 Methodology -- 3 Cliffs of Apulia and Study Cases. 3.1 Baia delle Zagare -- 3.2 Torre dell'Orso -- 3.3 Porto Miggiano -- 4 Discussion and Conclusion -- References -- Groundwater Recharge Assessment in the Carbonate Aquifer System of the Lauria Mounts (Southern Italy) by GIS-Based Distributed Hydrogeological Balance Method -- Abstract -- 1 Introduction -- 2 Study Area -- 3 Geological and Hydrogeological Setting of the Lauria Mounts -- 3.1 Geological Features of the Study Area -- 3.2 Hydrogeological Characterization of the Aquifer System -- 4 Data and Methodologies -- 5 Results and Discussion -- 6 Conclusions -- References -- Workshop Advances in Web Based Learning (AWBL 2018) -- Course Map: A Career-Driven Course Planning Tool -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Proposed Course Planning Tool -- 3.1 Course Planning Framework -- 3.2 Course Planning Data Collection and Implementation -- 4 Course Planning Tool User Interface -- 4.1 Career Component Interface -- 4.2 Course Component Interface -- 4.3 Subject Component Interface -- 4.4 Semester Planner -- 5 Evaluation and Discussion -- 5.1 Evaluation with Prime Beneficiaries -- 5.2 Comparison with Existing Models -- 6 Conclusion -- References -- A Learner Ontology Based on Learning Style Models for Adaptive E-Learning -- 1 Introduction -- 2 Learning Style Models -- 2.1 Kolb -- 2.2 Honey-Mumford -- 2.3 Felder-Silverman -- 3 Related Work -- 4 The Proposed Learner Ontology -- 5 Exploiting the Learner Ontology in a MAS Based E-Learning System -- 6 Discussion and Conclusion -- References -- Workshop Bio and Neuro Inspired Computing and Applications (BIONCA 2018) -- Simulating Cell-Cell Interactions Using a Multicellular Three-Dimensional Computational Model of Tissue Growth -- 1 Introduction -- 2 Related Work -- 3 Modeling of Cell Collision and Aggregation -- 3.1 Cell Collision -- 3.2 Cell Aggregation -- 3.3 Cell State Information. 3.4 Initial Conditions -- 3.5 Cell Seeding Topology -- 3.6 Dynamics of Cell-Cell Interactions -- 4 Simulation Results and Discussion -- 4.1 Segmented Uniform Distribution -- 4.2 Mixed Uniform Distribution -- 5 Conclusion -- References -- Workshop Computer Aided Modeling, Simulation, and Analysis (CAMSA 2018) -- Vulnerability of Pugu and Kazimzumbwi Forest Reserves Under Anthropogenic Pressure in Southeast Tanzania -- Abstract -- 1 Introduction -- 2 Study Area -- 3 Data and Methods -- 3.1 Data -- 3.2 Methods -- 3.2.1 Multi-criteria Evaluation and Weighting of Criteria -- 4 Result and Discussions -- 5 Conclusion -- Acknowledgement -- References -- Formal Reasoning for Air Traffic Control System Using Event-B Method -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Related Works -- 2.2 Formal Methods -- 2.3 Event-B -- 3 Development -- 3.1 Initial Model: An Abstract Model of the Landing Process -- 3.2 Refinement: Introducing Scheduling Methods -- 4 Proving Model Correctness -- 5 Conclusion -- References -- A Multiscale Finite Element Formulation for the Incompressible Navier-Stokes Equations -- 1 Introduction -- 2 The NSGS-NS Multiscale Finite Element Method -- 3 Numerical Experiments -- 3.1 Problem with the Exact Solution -- 3.2 The Lid-Driven Cavity Flow -- 3.3 The Backward Facing Step Flow -- 4 Conclusions -- References -- A Self-adaptive Approach for Autonomous UAV Navigation via Computer Vision -- 1 Introduction -- 2 Related Work -- 3 Self-adaptive Approach for Autonomous UAV Navigation -- 4 Evaluation -- 5 Conclusions -- References -- An Agent Based Model for Studying the Impact of Rainfall on Rift Valley Fever Transmission at Ferlo (Senegal) -- 1 Introduction -- 2 Presentation of the Ferlo Area -- 3 Description of an Agent Based Model -- 4 Experimental Description -- 5 Experimental Results -- 6 Discussion -- 7 Conclusion -- References. Workshop Computational and Applied Statistics (CAS 2018). EBL202104 XX SzGeCERN BOOK Murgante, Beniamino Misra, Sanjay Stankova, Elena Torre, Carmelo M Rocha, Ana Maria A C Taniar, David Apduhan, Bernady O Tarantino, Eufemia Ryu, Yeonseung https://cds.cern.ch/auth.py?r=EBLIB_P_6307348 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2761932 BOOK MIGRATED 2761925 SzGeCERN 20210421183918.0 9783319951683 electronic version electronic version 9783319951676 print version oai:cds.cern.ch:2761925 cerncds:BOOK EBL 6304131 eng QA75.5-76.95 004 Gervasi, Osvaldo Computational science and its applications - ICCSA 2018 18th international conference, Melbourne, VIC, Australia, July 2-5, 2018, proceedings, part III Cham Springer International Publishing AG 2018 700 p ebook Lecture notes in computer science 10962 Intro -- Preface -- Welcome to Melbourne -- Organization -- Keynote Speakers -- New Frontiers in Cloud Computing for Big Data and Internet-of-Things (IoT) Applications -- Approximation Problems for Digital Image Processing and Applications -- Contents - Part III -- Workshop Econometrics and Multidimensional Evaluation in the Urban Environment (EMEUE 2018) -- Decision Support Model for Conservation, Reuse and Valorization of the Historic Cultural Heritage -- Abstract -- 1 Introduction -- 2 The Case Study -- 3 Methodology -- 4 Functional Scenarios -- 4.1 Scenario 1: The Current Functional Model -- 4.2 Scenario 2: Upgrade of the Accommodation Facility and Wellness Centre -- 4.3 Scenario 3, Restaurant Activity Upgrade -- 5 Conclusion -- Acknowledgements -- Appendix 1 -- Appendix 2 -- References -- Predicting Student Dropouts in Higher Education Using Supervised Classification Algorithms -- 1 Introduction -- 2 Materials -- 3 Methods -- 3.1 Supervised Classification Algorithms -- 3.2 Assessing Classification Accuracy -- 4 Results -- 5 Discussion and Conclusions -- References -- A Procedure for Determining the Industrial Profitability of Settlement Interventions in the Appraisal of Exceptional Contribution of Urbanisation -- Abstract -- 1 Introduction and Aims of the Work -- 2 Indirect Analytical Method Used to Estimate the Value of Transformation in LA Practices and in Methodological (Theoretical) Procedures -- 3 A Procedure to Build the Discount Rate in the Analytical Procedure for Estimating the Transformation Value -- 4 An Application of Proposed Procedure to Evaluate the Industrial Profitability Return Inside the Analytical Procedures for Estimating the Transformation Value in the Evaluation of Exceptional Urbanisation Contribution of an Integrated Intervention Program in Grottaferrata (RM) -- 5 Conclusions -- References. The Positioning of Italian Universities in the International Rankings -- Abstract -- 1 Introduction -- 2 Global Rankings -- 2.1 Times Higher Education World University Rankings -- 2.2 QS World University Rankings -- 3 Research Rankings -- 3.1 CWTS Leiden Ranking -- 3.2 Scimago Institutions Ranking World Report -- 4 UI GreenMetric World University Ranking -- 5 Final Remarks -- References -- Performance Evaluation of Waste Materials in Construction for Sustainability -- Abstract -- 1 Introduction -- 2 Evaluating the Sustainability of Materials Recovered from Waste -- 2.1 The Reuse of Materials from Construction and Demolition in Europe -- 3 The Reuse of Gypsum from C&amp -- D in Constructions -- 3.1 General Issues of Re-used Gypsum Components from Waste Disposal -- 3.2 Sustainability Issues of Re-used Gypsum from Waste Disposal -- 4 The Assessment of Performance by Multidimensional Method -- 4.1 Premise -- 4.2 Description of Evaluation -- 5 First Assessment Phase: Economic Analysis of the Applications -- 5.1 Costs-Effectiveness Analysis and Preliminary Test Results -- 5.2 Weighting Criteria for Pairwise Comparison -- 5.3 Ranking by Pairwise Comparison According with an Analytic Hierarchy Process -- 5.4 Remarks on Evaluation's Results -- 6 Conclusion -- References -- Multi-Stakeholder Spatial Decision Analysis (M-SSDA) for a Culture-Led Regeneration Strategy -- Abstract -- 1 Introduction -- 2 The Case Study: The Spanish Quarters in Naples (Italy) -- 3 The Multi-Stakeholder Spatial Decision Analysis (M-SSDA) -- 3.1 Analysis of Transformation Processes -- 3.2 Construction of Scenarios -- 3.3 Multi-criteria and Multi-groups Evaluation -- 3.4 The Strategic Map for a Culture-Led Regeneration Process -- 4 Discussion and Conclusions -- References -- Workshop Future Computing Systems, Technologies, and Applications (FiSTA 2018). Towards a User-Friendly Solution for Collaboratively Managing a Developed Ontology -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 User-Friendly Structure Maintenance -- 3.2 Change History Management -- 3.3 Version Management -- 4 System Development -- 5 Validation and Evaluation -- 6 Conclusions -- References -- A Semi-automatic Approach to Collaboratively Populate an Ontology for Ontology-Illiterate Users -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Mapping OWL Ontology to Relational Database -- 3.2 Mapping Process -- 3.3 Represent Ontology Class Hierarchy in Relational Database -- 4 System Development -- 5 Evaluation Methods -- 6 Conclusions -- References -- Concurrent Execution in Scripting Programming Language `mruby' -- 1 Introduction -- 2 Programming Language for Embedded System Development -- 2.1 Embedded System Development -- 2.2 Ruby -- 2.3 mruby -- 3 Concurrent Execution -- 3.1 Concurrent Execution in mruby -- 3.2 Efficient Concurrent Execution -- 4 Mutual Exclusion -- 4.1 Information Sharing in mrubyVM -- 4.2 Mutual Exclusion in mrubyVM -- 5 Conclusion and Future Works -- References -- A Browser Application for Keyword Recommendation Based on User Web Search -- 1 Introduction -- 2 Definition of Browser Application -- 2.1 Definition of the Browser Application -- 2.2 Definition of the Keywords Recommendation -- 3 Requirement Analysis of the Browser Application -- 4 Browser Application Based on Three-Tier Architecture -- 4.1 Application Design -- 4.2 User Identification -- 4.3 Data Collection -- 5 The Algorithm for Generating Recommended Keywords -- 6 Application Evaluation and Discussion -- 6.1 Experimental Platform and Introduction -- 6.2 Methods and Results of the Functional Modules of the Browser Application Test Experiment. 6.3 Online Users Actual Test and Questionnaire Survey -- 7 Conclusion -- References -- Local Clock Offset and Drift Estimation Between Neighbor Wireless Sensor Nodes -- 1 Introduction -- 2 Related Works -- 3 Proposal -- 3.1 Commonly Observed Events -- 3.2 Relative Offset Estimation -- 3.3 Relative Drift Estimation -- 4 Evaluation -- 5 Conclusion -- References -- Toward a Secure VM Migration Control Mechanism Using Blockchain Technique for Cloud Computing Environment -- 1 Introduction -- 2 Related Works -- 3 The Proposed Mechanism -- 3.1 Review of Previous Mechanism -- 3.2 The Improved Mechanism with Blockchain -- 4 Performance Evaluation -- 5 Conclusion -- References -- Workshop Geographical Analysis, Urban Modeling, Spatial Statistics (GEO-AND-MOD 2018) -- Using Geographic Information System and Simulated Annealing for Optimizing the Railway Design -- Abstract -- 1 Introduction -- 2 Research Background -- 3 The Study Area -- 4 Materials and Method -- 4.1 Data Collection -- 4.2 Setting the Initial Parameters Related to Design of Route -- 4.3 SA-ORDM -- 4.4 Azimuthal Method -- 4.5 Evaluation of New Points and Design of the Final Route -- 5 Results -- 6 Discussion -- 7 Conclusion -- References -- Scenarios of Sediment Transport Management in Francia Creek, Valparaiso, Chile -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Computational Tools -- 2.2 Study Area -- 2.3 Land Use, Topography, Meteorology, and Delineation of the Catchment Area -- 2.4 Hydrological and Water Quality Modeling -- 2.5 Field Data Collection -- 2.6 Testing the Environmental-Paradigm Hypothesis -- 3 Results -- 3.1 Simulated Total Suspended Sediment Concentrations -- 3.2 Sediment Volume Reduction at the Sand Trap -- 4 Conclusions -- References -- Safety of Physical Assets: A Ranking Method and Its GIS Implementation -- 1 Introduction -- 2 Materials and Methods -- 2.1 Notations. 2.2 A Method to Compute the Assets Ranking -- 3 Related Work -- 4 A GIS-Oriented Technological Setting for the Implementation of the Algorithm -- 5 A Case Study -- 5.1 The Input Data -- 5.2 An Overview of the Results -- 6 Conclusions and Future Work -- References -- Spatial Data Warehouse and Spatial OLAP in Indoor/Outdoor Cultural Environments -- Abstract -- 1 Introduction -- 1.1 Analysis of the Sources Related to the "MUS&amp -- O" Project -- 1.2 Identification of Metadata -- 1.3 Identification of Taxonomies -- 1.4 Analysis and Definition of the Requirements Related to the "MUS&amp -- O" Project -- 2 Conceptual Design of Spatial Data Warehousing -- 2.1 Logical Design of Spatial Data Warehousing -- 2.2 Hypercube of Metadata -- 2.3 Spatial Data Warehousing Upload Project Planning -- 2.4 Software Application Design for Multi-dimensional Querying of Spatial Data Warehousing -- 2.5 Physical Design for the Spatial DW -- 2.6 Evaluation of Multi-dimensional Querying of Spatial Data Warehousing -- 2.7 New Functionality of Multi-dimensional Querying of Spatial Data Warehousing -- 3 Conclusion and Future Work -- References -- Multiple Fabric Assessment: Focus on Method Versatility and Flexibility -- Abstract -- 1 Introduction: Seeking Human Scale in Urban Fabric Analysis -- 2 The Multiple Fabric Assessment Protocol -- 3 Dataset Minimum Requirement and Proximity Band Construction -- 4 Conceiving Indicators Based on Data Availability and Urban Fabric Peculiarities -- 5 Flexibility of MFA's Objectives, Data Redundancy and Cross Analysis -- 6 Discussions and Future Developments -- Acknowledgements -- References -- Web-Based GIS Platform for Automatic Prediction of Earthquakes -- 1 Introduction -- 2 Method of Minimum Area of Alarm -- 3 Automatic Prediction of Earthquakes -- 3.1 Technology -- 3.2 Platform -- 4 Testing -- 4.1 Mediterranean Region -- 4.2 Japan Region. 5 Conclusion. EBL202104 XX SzGeCERN BOOK Murgante, Beniamino Misra, Sanjay Stankova, Elena Torre, Carmelo M Rocha, Ana Maria A C Taniar, David Apduhan, Bernady O Tarantino, Eufemia Ryu, Yeonseung https://cds.cern.ch/auth.py?r=EBLIB_P_6304131 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2761925 BOOK MIGRATED 2761788 SzGeCERN 20210421183924.0 9783319393872 electronic version electronic version 9783319393865 print version oai:cds.cern.ch:2761788 cerncds:BOOK EBL 6307088 eng QA76.76.I58 .H544 2016 006.3 Bajo, Javier Highlights of practical applications of scalable multi-agent systems the paams collection international workshops of PAAMS 2016, Sevilla, Spain, June 1-3, 2016 proceedings Cham Springer International Publishing AG 2016 455 p ebook Communications in computer and information science 616 Intro -- Preface -- Organization -- Contents -- Workshop on Agents and Multi-Agent Systems for AAL and e-HEALTH (A-HEALTH) -- Results of a Pilot Study with a Robot Instructor for Group Exercise at a Senior Living Community -- Abstract -- 1 Introduction -- 2 On the Importance of Contextual Studies in Elderly Care -- 3 A Robot Instructor for Group Exercise at a Senior Living Community -- 3.1 An Iterative, Contextual Methodology: Soft Systems Methodology -- 3.2 Design Principles -- 3.3 The Environment for the Study -- 3.4 Design and Implementation of the Robot Behavior -- 4 Results, a Comparison, and Future Work -- 4.1 Preliminary Results of the Pilot Study -- 4.2 Comparison -- 4.3 Future Work -- References -- FRIENDLY &amp -- KIND with your Health: Human-Friendly Knowledge-INtensive Dynamic Systems for the e-Health Domain -- 1 Introduction and Motivation -- 2 Background and Related Work -- 2.1 Background -- 2.2 Related Wok -- 3 FRIENDLY &amp -- KIND with Your Health -- 4 Conclusions and Future Work -- References -- Multi Agent Application for Chronic Patients: Monitoring and Detection of Remote Anomalous Situations -- Abstract -- 1 Introduction -- 2 Background -- 3 Proposed Reasoning System -- 3.1 Sensor System -- 3.2 Monitoring and Alert System -- 3.3 Alert System for Ambulances -- 4 Results and Conclusions -- Acknowledgements -- References -- Improving the Distribution of Services in MAS -- Abstract -- 1 Introduction -- 2 Background -- 3 Case of Study -- 3.1 Results in the Case of Study -- 4 Conclusions -- Acknowledgements -- References -- Workshop on Agents-Based Solutions for Manufacturing and Supply Chain (AMSC) -- A Multi-level and Multi-agent Approach to Modeling and Solving Supply Chain Problems -- Abstract -- 1 Introduction -- 2 Methods -- 3 A Multi-level and Multi-agent Approach to Universal Modeling and Solving Constraints. 4 Illustrative Example -- 5 Multi-agent Implementation of Multi-level Approach -- 6 Computational Experiments -- 7 Conclusions -- References -- Supply Chain Logistics Platform as a Supply Chain Coordination Support -- Abstract -- 1 Introduction -- 2 Coordination Problems in the Supply Chain -- 3 Supply Chain Logistics Platform -- 4 Case Study on Supply Chain Logistics Platform -- 5 ICT Support as Important Part of Supply Chain Logistics Platform -- 6 Support Mechanisms for Coordination - Reference Model: The Electronic Bulletin Board, Logistics Pl ... -- 7 Conclusions and Future Works -- Acknowledgement -- References -- A Multi-agent Framework for Cost Estimation of Product Design -- Abstract -- 1 Introduction -- 2 Multi-agent Systems in New Product Development -- 3 Model of Estimating Product Design Cost -- 4 The Proposed Multi-agent System for Estimating Product Design Cost -- 5 Example -- 5.1 Cost Estimation with the Use of ANFIS -- 5.2 Fulfilling Cost Expectations with the Use of CP -- 6 Conclusion -- Acknowledgements -- References -- How to Simulate Transportation Disturbances in the Logistic Process? -- Abstract -- 1 Introduction -- 2 The Supply Chain Issue and Aspect of Occurrence Disturbances in Supply Chain -- 2.1 The Complexity of the Supply Chain Issue -- 2.2 The Aspect of Occurrence the Disturbances in Supply Chain -- 3 Problem Definition -- 3.1 The Supply System Model - Mathematical Description -- 3.2 The Simulation Model of Supply Chain - General Information -- 4 Case Study -- 4.1 Breaks in the Weather - Description and Method of Modeling -- 4.2 Description of Simulation Experiments -- 4.3 Result of Experiments -- 5 Conclusion and Further Investigations -- Acknowledgement -- References -- An Approach to Represent Material Handlers as Agents in Discrete-Event Simulation Models -- Abstract -- 1 Introduction. 2 Material Handling in Manufacturing Systems -- 3 Agent-Based Representation of Material Handling in DES -- 3.1 Transporter Agent -- 3.2 Decision-Node Agent -- 3.3 Supporting Network Nodes -- 4 Illustrative Example - Implementation and Comparison -- 4.1 Description of the Example -- 4.2 Implementation in FlexSim -- 4.3 Comparison with Traditional Modeling Approach -- 5 Conclusion and Future Research -- Acknowledgements -- References -- Using DES/ABS Approach to Model and Simulate Bus Assembling Process -- Abstract -- 1 Introduction -- 2 The Literature Review -- 3 Problem Definition -- 4 DES/ABS Concept to Model Work of Workteams -- 5 Implementation -- 6 Conclusions -- Acknowledgement -- References -- Workshop on MAS for Complex Networks and Social Computation (CNSC) -- Overview of Case Studies on Adapting MABS Models to GPU Programming -- 1 Introduction -- 2 Related Works and Motivations -- 2.1 GPGPU-Based MABS -- 2.2 The Need for a Methodology for Porting MABS on GPU -- 3 Experimenting GPU Environmental Delegation -- 3.1 The GPU Environmental Delegation Principle -- 3.2 GPU Delegation Case Studies -- 4 Highlighting a Recurrent Development Pattern -- 5 Summary and Future Works -- References -- Holonic Multiagent Simulation of Complex Adaptive Systems -- 1 Introduction -- 2 Simulator Architecture -- 2.1 Description -- 2.2 Architecture -- 3 Behavioral Modeling -- 3.1 Driving Behavioral Model -- 3.2 Pedestrian Behavioral Model -- 3.3 Vehicle Behavioral Model -- 4 Results -- 5 Related Work -- 6 Conclusion -- References -- Multiagent Social Influence Detection Based on Facial Emotion Recognition -- 1 Introduction -- 2 Agent Architecture -- 2.1 Data Pre-processing -- 2.2 Facial Emotion Module -- 3 Influence Analysis Module -- 3.1 Emotion Diffusion Tracking -- 3.2 Social Influence Calculation -- 4 Experimental Results and Discussion -- 4.1 Results. 4.2 Discussion -- 5 Conclusion -- References -- Self-regulation of Social Exchange Processes: A Model Based in Drama Theory -- 1 Introduction -- 2 Theoretical Basis -- 2.1 Social Exchange -- 2.2 Drama Theory -- 3 The Dramatic Model of Self-regulation Social Exchange Processes -- 3.1 Phase 1: Scene-Setting -- 3.2 Phase 2: Build up -- 3.3 Phase 3: Climax -- 3.4 Phase 4: Resolution -- 3.5 Phase 5: Denouement -- 4 Conclusion -- References -- JGOMAS 2.0: A Capture-the-Flag Game Using Jason Agents and Human Interaction -- 1 Introduction -- 2 Background -- 2.1 Jason -- 2.2 JGOMAS -- 3 JGOMAS 2.0 -- 3.1 Agents Description -- 3.2 Immersing the Human in JGOMAS -- 4 Conclusions and Future Work -- References -- Workshop on Decision Making in Dynamic Information Environments (DeMaDIE) -- An Immune Multi-agent Based Decision Support System for the Control of Public Transportation Systems -- Abstract -- 1 Introduction -- 2 Biological Immunity for the Control of PTS -- 2.1 Biological Immune Systems -- 2.2 Analogy Between PTS and BIS -- 3 Immune Concepts for Disturbance Management -- 3.1 A Self-cell Representation -- 3.2 Antigen Representation -- 3.3 Antibody Representation -- 3.4 B-cell Representation -- 3.5 A Negative Selection Algorithm (NSA) for PTS Monitoring -- 3.6 B-cell/Antigen Affinity -- 3.7 Immune Memory Algorithm (IMA) -- 4 The Immune Multi-agent PTCS -- 4.1 An Overview of the Architecture -- 4.2 Bus Agents (BA) Behavior Model -- 4.3 Bus Line Agents (BLA) Behavior Model -- 5 Implementation and Test -- 6 Conclusion -- Acknowledgments -- References -- Argumentation-Based Reasoning with Preferences -- 1 Introduction -- 2 Cakes Example in Argumentation -- 2.1 Deductive Argumentation -- 2.2 ASPIC+ -- 2.3 p_ABA -- 2.4 Abstract Argumentation -- 3 Related Work and Discussion -- 4 Conclusion and Future Work -- References. Almost Fair: Conjoint Measurement Theory and Score-Based Bargaining Solutions -- 1 Introduction -- 1.1 Bargaining Problems -- 1.2 The Nash Bargaining Problem -- 1.3 Constraint-Based Versus Score-Based Bargaining Solutions -- 2 Multi-Attribute Measurement Systems -- 2.1 Multi-Attribute Utility Theory -- 2.2 Conjoint Measurement Functions and Bargaining Problems -- 2.3 Decomposability in Bargaining Problems -- 3 Solving Bargaining Problems with Conjoint Measurement Functions -- 3.1 The Nash Solution -- 3.2 The Shapley Value -- 4 Applications and Future Work -- 4.1 Streamlined Bargaining -- 4.2 Bargaining over Multiple Attributes -- 4.3 Conclusions and Future Work -- References -- Tracking Users Mobility at Public Transportation -- Abstract -- 1 Introduction -- 2 Developed System -- 2.1 Data Collection -- 2.2 Pre-processing -- 2.3 Data Processing at Cloud Server -- 3 Case Study -- 3.1 Main Problems -- 3.2 Main Results -- 4 Conclusions -- References -- Energy Planning Decision-Making Under Uncertainty Based on the Evidential Reasoning Approach -- Abstract -- 1 Introduction -- 2 Problem Identification -- 3 The Evidential Reasoning Approach for RES Assessment -- 3.1 Identification of RES Assessment Attributes -- 3.2 Determination of Weights and Assessment Grades -- 3.3 The ER Approach -- 3.4 Alternatives Ranking -- 4 Results -- 4.1 Analysis -- 4.2 Discussion -- 5 Conclusion -- References -- Orientation System Based on Speculative Computation and Trajectory Mining -- 1 Introduction -- 2 Related Work -- 3 System Description -- 4 Speculative Module for Users with Cognitive Disabilities -- 5 Trajectory Mining Module -- 5.1 Data Preprocessing -- 5.2 Trajectory Mining -- 6 Conclusions and Future Work -- References -- The Effect of Decision Satisfaction Prediction in Argumentation-Based Negotiation -- Abstract -- 1 Introduction -- 2 Methods. 3 Evaluation and Results. EBL202104 XX SzGeCERN EBL Intelligent agents (Computer software)-Congresses BOOK Escalona, María José Giroux, Sylvain Novais, Paulo Sánchez-Pi, Nayat Unland, Rainer Azambuja-Silveira, Ricardo Hoffa-Dąbrowska, Patrycja Julián, Vicente https://cds.cern.ch/auth.py?r=EBLIB_P_6307088 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2761788 BOOK MIGRATED 2761737 SzGeCERN 20210421183926.0 9783319083896 electronic version electronic version 9783319083889 print version oai:cds.cern.ch:2761737 cerncds:BOOK EBL 6306702 eng Q387.2 .H476 2014 003.54 Hernandez, Nathalie Graph-based representation and reasoning 21st international conference on conceptual structures, ICCS 2014, Iaşi, Romania, July 27-30, 2014, proceedings Cham Springer International Publishing AG 2014 323 p ebook Lecture notes in computer science 8577 Intro -- Preface -- Organization -- Table of Contents -- Historic Paper -- Conceptual Graphs Are Also Graphs -- 1 Introduction -- 2 The Formal Model -- 2.1 Descriptive Part -- 2.2 The Specialization/Generalization Relation between CGs -- 2.3 First Order Logic Semantics -- 3 Algorithmic Considerations -- 3.1 Conceptual Graphs and Graphs, Projection and Morphism -- 3.2 Conceptual Graphs and Constraint Satisfaction Problems -- 4 Conclusion -- References -- Invited Talks -- Argumentation-Based Paraconsistent Logics -- 1 Introduction -- 2 Argumentation Systems -- 3 Logics Induced by Extension Semantics -- 4 Logics Induced by Ranking Semantics -- 5 Conclusion -- References -- Towards a Framework for Learning from Networked Data -- 1 Introduction -- 2 Knowledge Representation -- 3 The Question of Computational Tractability -- 4 Towards a Statistical Framework -- 5 Conclusions -- References -- Games on Graphs -- 1 Introduction -- 2 Maker-Breaker Games -- 3 Avoider-Enforcer Games -- 4 Games on the Random Board -- References -- Regular Papers -- A Partial-Closure Canonicity Test to Increase the Efficiency of CbO-Type Algorithms -- 1 Introduction -- 2 Formal Concepts -- 3 Computation of Formal Concepts -- 4 CbO Algorithm [6, 10, 12] -- 5 A Partial-Closure Canonicity Test -- 6 In-CloseI Algorithm with Partial-Closure Test -- 7 Performance Evaluation -- 7.1 Incorporating the Partial-Closure Test into FCbO -- 7.2 Implementations -- 7.3 Data Set Experiments -- 8 Conclusions and Further Work -- References -- On Conceptual Graphs and Explanation of Query Answering under Inconsistency -- 1 Introduction -- 2 Related Work -- 3 Logical Language -- 3.1 Conceptual Graphs Representation -- 3.2 COGUI CG Editor -- 4 Dealing with Inconsistency -- 5 Argumentative Explanation -- 5.1 Deepened Explanation (d-explanation) -- 6 Conclusion -- References. Defining Key Semantics for the RDF Datasets:Experiments and Evaluations -- 1 Introduction -- 2 Problem Statement -- 3 Semantic Comparison of S-keys and F-keys -- 3.1 S-key and F-key Models -- 3.2 Key Discovery -- 4 Experimental Results -- 4.1 Data-Interlinking Experiments -- 4.2 Dataset Cleansing Experiment -- 5 Existing Work -- 6 Conclusion -- References -- A Framework for Qualitative Representation and Reasoning about Spatiotemporal Patterns -- 1 Introduction -- 2 Case Study -- 3 From Situations to Dynamic Spatiotemporal Patterns -- 4 Spatiotemporal Pattern -- 4.1 Spatial Relations and Spatial Object -- 4.2 Simple Pattern -- 4.3 Complex Pattern -- 4.4 Contextual Information -- 5 Case Study: Outage Management Systems -- 5.1 Pattern Specifications -- 6 Discussions and Conclusion -- References -- Combining Restricted Boltzmann Machine and One Side Perceptron for Malware Detection -- 1 Introduction -- 2 Related Work -- 3 Framework Architecture -- 3.1 One Side Perceptron (OSP) -- 3.2 Restricted Boltzmann Machine -- 4 Configuration and Results -- 5 Conclusions and Future Work -- References -- Knowledge Management and Human Trafficking:Using Conceptual Knowledge Representation, Text Analytics and Open-Source Data to Combat Organized Crime -- 1 Introduction -- 2 Human Trafficking -- 3 Knowledge Management -- 4 Ontology Driven Knowledge Representation -- 4.1 Applying CGs Using CoGui -- 5 Textual Extraction and Categorization -- 5.1 Content Categorization -- 5.2 Concept Extraction -- 5.3 Weak Signals in the Environment -- 6 Concluding Remarks -- References -- Default Reasoning Implementation in CoGui -- 1 Introduction -- 2 Conceptuals Graphs in Cogui -- 2.1 Support -- 2.2 Simple Conceptual Graphs -- 2.3 Conceptual Graph Rules -- 3 Default Rules -- 3.1 Default CG Rules -- 4 Default Reasoning with Default CG Rules in CoGui -- 4.1 Implementation -- 5 Conclusion. References -- Extracting Threshold Conceptual Structures from Web Documents -- 1 Introduction -- 2 Basics of Formal Concept Analysis -- 3 Threshold Formal Concepts -- 4 Iterative Retrieval Process -- 4.1 Documents Ranking -- 5 Conclusion -- References -- A Formal Topology of Web Classification -- 1 Introduction -- 2 Formal Classification via Domain Theory -- 3 Classifications Associated to a Topology -- 4 Distinctness Operators -- 5 Conclusion -- References -- Specifying Well-Formed Part-Whole Relations in Coq -- 1 Introduction -- 2 Basic Challenges for Part-Whole Relations -- 3 Using a Dependently-Typed Framework -- 3.1 Motivations -- 3.2 A Quick Introduction to Coq -- 3.3 The Ontological Interpretation -- 4 Formalizing the Part-Whole Relation -- 4.1 Basic Part-Whole Properties -- 4.2 Expressing Part-Whole (Meta)Properties -- 5 Constructing Part-Whole Hierarchies in Coq -- 5.1 Constructing the Taxonomy -- 5.2 Constructing the Partonomy -- 6 Conclusion -- References -- Automatic Extraction of Semantic Relations by Using Web Statistical Information -- 1 Introduction -- 2 Measuring Semantic Relatedness -- 3 A New Model for Directional Semantic Relatedness -- 4 Building the Directed Semantic Graph -- 5 First Experimental Results -- 6 Some Examples -- 7 Conclusions and Future Works -- References -- Efficient Representation of Extensional Constraints -- 1 Introduction -- 2 Constraint Satisfaction Problems -- 3 Extensional Constraints -- 4 Support Lists -- 5 Tries (Prefix Trees) -- 6 SupportTries (Tries with Support Lists) -- 6.1 Creating the Trie and the Support Lists -- 6.2 Checking the Validity of an Assignment -- 7 Experiments -- 8 Conclusions -- References -- On the Usability of Random Indexing in Patent Retrieval -- 1 Introduction -- 1.1 Statistical Semantics -- 1.2 Patent Data -- 1.3 Motivation -- 2 Methodology -- 3 Experimental Results. 3.1 Collection Statistics -- 3.2 Initial Experiment Burst -- 3.3 Number of Seeds -- 4 Discussion -- 4.1 Input Alternatives -- 4.2 Method Variations -- 5 Related Work -- 6 Conclusion -- References -- Teaching Syllogistics Using Conceptual Graphs -- 1 Introduction -- 2 Aristotelian Syllogisms as Deductive Structures -- 3 The Experiments in the Present Study -- 4 Discussion of the Experimental Results -- 5 Can Conceptual Graphs be Useful in Logic Teaching? -- 6 Conclusions -- References -- Principles of Regulated Activation Networks -- 1 Introduction -- 2 Background -- 2.1 Psychological Phenomena -- 2.2 Cognitive Modeling Approaches -- 3 Principles of Regulated Activation Networks -- 4 Architecture of the Single-layer RANs model -- 5 Preliminary Results -- 6 Conclusions and Future Work -- References -- Computing Concept Lattices from Very Sparse Large-Scale Formal Contexts -- 1 Introduction -- 1.1 Formal Concept Analysis [8] -- 1.2 Related Work -- 2 The Algorithm -- 2.1 Algorithm to Generate D(X,Y,R) -- 2.2 Algorithm to Construct (B(X, Y,R),≤) using D(X,Y,R) -- 2.3 Complexity of the Algorithm -- 3 Experimental Evaluation -- 4 Conclusion -- References -- Swip: A Natural Language to SPARQL Interface Implemented with SPARQL -- 1 Positioning Our Work -- 1.1 Related Work -- 1.2 The Swip Approach -- 2 Framework -- 2.1 Ontologies for Patterns and Queries -- 2.2 Infrastructure -- 3 Description of the First Steps -- 3.1 Committing Pivot Query to the KB -- 3.2 Matching Query Elements to KB Resources -- 3.3 Mapping Pattern Elements to Query Elements -- 3.4 Following Steps -- 4 Discussions on the Implementation -- 5 Perspectives -- References -- Industrial Papers -- Environmental Scanning and Knowledge Representation for the Detection of Organised Crime Threats -- 1 Introduction -- 2 Objectives -- 3 System Architecture. 3.1 Data Acquisition, Content Categorization and Concept Extraction -- 3.2 Environmental Knowledge Repository: Conceptual Graphs -- 3.3 Situation Assessment: Formal Concept Analysis -- 4 Concluding Remarks -- References -- Combining Business Intelligence with Semantic Technologies: The CUBIST Project -- 1 Introduction -- 2 Architecture and Software Components -- 3 User Workflow -- 4 Use Cases -- 5 Evaluation and Conclusion -- References -- FCA-Based Recommender Models and Data Analysis for Crowdsourcing Platform Witology -- 1 Introduction -- 2 Witology Platform -- 3 FCA-Based Models for Crowdsourcing Data -- 3.1 FCA-Based Recommender Model -- 4 Results of the Experiments -- 5 Conclusion -- References -- Conceptual Structures in LEADing and Best Enterprise Practices -- 1 Introduction -- 2 LEAD -- 3 Ontology and Semantics in LEAD -- 4 Conceptual Structures in LEAD -- 5 Concluding Rem marks -- References -- Investigating Oncological Databases Using Conceptual Landscapes -- 1 Introduction -- 2 Data Sets and Methods -- 3 Building Conceptual Landscapes -- 4 Triadic Landscapes of Knowledge -- References -- Eco-Efficient Packaging Material Selection for Fresh Produce: Industrial Session -- 1 Introduction -- 2 Approach -- 3 Architecture of the Argumentation System -- 4 Conclusion -- References -- Author Index. EBL202104 XX SzGeCERN EBL Artificial intelligence EBL Computer science-Mathematics BOOK Jäschke, Robert Croitoru, Madalina https://cds.cern.ch/auth.py?r=EBLIB_P_6306702 ebook n 202114 21 PUBLIC https://catalogue.library.cern/legacy/2761737 BOOK MIGRATED 2761691 SzGeCERN 20210421183928.0 9789811039669 electronic version electronic version 9789811039652 print version oai:cds.cern.ch:2761691 cerncds:BOOK EBL 6306485 eng QA75.5 .G467 2017 004 Yuan, Hanning Geo-spatial knowledge and intelligence 4th international conference on geo-informatics in resource management and sustainable ecosystem, GRMSE 2016, Hong Kong, China, November 18-20, 2016, revised selected papers, part I Singapore Springer Singapore Pte Limited 2017 644 p ebook Communications in computer and information science 698 Intro -- Preface -- Organization -- Abstracts of Keynote Speeches -- Abstracts of Invited Talks -- Contents -- Part I -- Contents -- Part II -- Smart City in Resource Management and Sustainable Ecosystem -- Study of Ecosystem Sensitivity Based on Grid GIS in Leishan County -- Abstract -- 1 Introduction -- 2 Study Area -- 3 Materials and Methods -- 3.1 Sources of Date -- 3.2 Establish Evaluation Index System -- 3.3 Determination of Weight -- 3.4 Evaluation Standard -- 3.5 Ecosystem Sensitivity Evaluation Model -- 3.6 Evaluation Method in Grid GIS -- 4 Results and Analysis -- 4.1 The Spatial Pattern of Ecosystem Sensitivity -- 4.2 The Sensitivity Evaluation of Natural Unit -- 4.3 Recommendations for Ecosystem Sensitivity -- 5 Conclusions and Discussion -- Acknowledgments -- References -- The Design and Implementation of Field Patrol Inspection System Based on GPS-Tablet PC -- Abstract -- 1 Introduction -- 2 System Overall Design and Function Design -- 2.1 GPS/Tablet Computer System Design -- 2.2 Functional Framework -- 2.3 The Acquirement and Processing of GPS Signals -- 2.4 Figure Collection and Analysis -- 3 Conclusions -- Acknowledgment -- References -- The Vehicle Route Modeling and Optimization Considering the Dynamic Demands and Traffic Information -- Abstract -- 1 Introduction -- 2 The Vehicle Route Problem and Model Considering the Traffic Information and Dynamic Demand -- 2.1 Description of the Problem -- 2.2 Initial Optimization Stage Model -- 2.3 Real-Time Optimization Stage Model -- 3 Algorithm Design -- 3.1 Solution Strategies -- 3.2 The Idea of Hybrid Algorithm Based on the Genetic Algorithm, Tabu Search Algorithm and Simulated Annealing Algorithm -- 3.3 The Solving Process of Hybrid Algorithm -- 4 Experimental Verification and Analysis -- 4.1 Experimental Data -- 4.2 Initial Optimization Scheme Determination. 4.3 Dynamic Optimization Scheme Determination -- 4.4 Dynamic Optimization Scheme Determination -- 5 Conclusions and Suggestions -- Acknowledgment -- References -- Developing a 3D Routing Instruction Engine for Indoor Environment -- Abstract -- 1 Introduction -- 2 Visualization of 3D Geometry and Network -- 3 3D Network in Geo-DBMS -- 4 Network Analyses for Indoor -- 5 3D Routing Instruction Engine -- 6 Conclusions -- Acknowledgements -- References -- Saliency Detection for High Dynamic Range Images via Global and Local Cues -- Abstract -- 1 Instruction -- 2 The Proposed Model -- 2.1 BU Saliency Map -- 2.2 TD Saliency Map -- 2.3 Saliency Map Based on Global and Local Cues -- 3 Experimental Results and Discussion -- 4 Conclusion -- Acknowledgement -- References -- Research on Vegetable Growth Monitoring Platform Based on Facility Agricultural IOT -- Abstract -- 1 Introduction -- 2 Research of Key Technology -- 2.1 Collection of Environmental Data -- 2.2 Data Transmission -- 2.3 Information Service -- 3 Test and Analysis -- 4 Conclusions -- Acknowledgements -- References -- A Novel Framework for Analyzing Overlapping Community Evolution in Dynamic Social Networks -- Abstract -- 1 Introduction -- 2 Experimental Setup -- 2.1 Parameter Tuning -- 2.2 Community Tag Allocation -- 3 Occurred Events Comparison -- 3.1 DBLP Dataset -- 3.2 Synthetic Dataset -- 3.3 Facebook Dataset -- 4 Prediction Accuracy Evaluation -- 4.1 DBLP Dataset -- 4.2 Synthetic Dataset -- 4.3 Facebook Dataset -- 5 Conclusion -- Acknowledgments -- References -- Developing Mobile Software for Extenics Innovation -- Abstract -- 1 Introduction -- 2 Extenics Innovation Mobile Software -- 3 Case Study -- 3.1 Solving Contradiction of Travel Location Selection -- 3.2 Solve the Contradiction of Tourism -- 4 Conclusions -- Acknowledgments -- References. Variable Weight Based Clustering Approach for Load Balancing in Wireless Sensor Networks -- Abstract -- 1 Introduction -- 2 System Model -- 3 Protocol Description -- 3.1 General Information -- 3.2 Clustering Description -- 3.3 Routing Description -- 4 Experiments and Analysis -- 5 Conclusion -- Acknowledgments -- References -- MDPRP: Markov Decision Process Based Routing Protocol for Mobile WSNs -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Judgment Criterion to Rationality of Decision Maker -- 3.1 Trustiness Computation -- 3.2 Congestion Probability Computation -- 3.3 Distance to Destination Computation -- 4 Dynamic Markov Decision Process -- 5 Routing Protocol -- 6 Simulation -- 7 Conclusion -- Acknowledgments -- References -- Medical Insurance Data Mining Using SPAM Algorithm -- Abstract -- 1 Introduction -- 2 Sequential Pattern SPAM Algorithm -- 2.1 The Idea of SPAM Algorithm -- 2.2 Advantages of SPAM Algorithm -- 3 Experiment and Analysis -- 3.1 Medicare Data Processing -- 3.2 Experimental Operating Results -- 3.3 Experimental Result Analysis -- 4 Conclusions -- Acknowledgments -- References -- A Genetic-Algorithm-Based Optimized AODV Routing Protocol -- Abstract -- 1 Introduction -- 2 AODV Routing Protocol -- 3 Genetic-Algorithm-Based AODV -- 3.1 Routing Encoding -- 3.2 Design of Fitness Function -- 3.3 Selection -- 3.4 Cross -- 3.5 Variation -- 4 Simulation and Discussion -- 4.1 Performance Parameters -- 4.2 Experimental Parameter Setting -- 4.3 Simulation Results -- 5 Conclusions -- References -- Performance Analysis of PaaS Cloud Resources Management Model Based on LXC -- Abstract -- 1 Introduction -- 2 Build LXC-Based PaaS Cloud Platform -- 3 Cloud Resources Management Model of LXC-Based PaaS -- 3.1 LXC-based PaaS Cloud Model -- 3.2 Resources Management Mechanism of LXC Virtualization -- 4 Experiment of Performance Test. 4.1 Test Environment -- 4.2 Test Tool -- 5 Testing Performance Analysis -- 5.1 Memory Performance Analysis -- 5.2 CPU Performance Analysis -- 5.3 Disk I/O Performance Analysis -- 5.4 Network I/O Performance Analysis -- 6 Conclusions -- References -- Link Prediction Based on Precision Optimization -- Abstract -- 1 Introduction -- 2 Link Prediction and Precision -- 3 Features of Node Pair for Link Prediction -- 4 The Link Prediction Algorithm Based on Precision -- 5 Experimental Results and Analysis -- 5.1 Dataset -- 5.2 Results -- 6 Conclusions -- Acknowledgements -- References -- Face Feature Points Detection Based on Adaboost and AAM -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Setted Constriction -- 2.2 Based on Appearance -- 3 Methodology -- 3.1 AdaBoost Algorithm -- 3.2 Active Appearance Model (AAM) -- 4 Experiments -- 4.1 Face Image Gray -- 4.2 AdaBoost Algorithm Based on Haar Feature -- 4.3 AAM Model Generation -- 5 Result -- 6 Discussion and Further Work -- References -- Stock Price Manipulation Detection Based on Machine Learning Technology: Evidence in China -- Abstract -- 1 Introduction -- 2 Related Literature -- 3 Methodology -- 3.1 Support Vector Machine -- 3.2 Random Forest -- 4 Empirical Analysis -- 4.1 Data Description and Evaluation Metrics -- 4.2 Experimental Results -- 4.3 Detection Analysis -- 5 Conclusions and Future Work -- 5.1 Conclusions -- 5.2 Future Work -- Acknowledgments -- References -- Study over Cerebellum Prediction Model During Hand Tracking -- Abstract -- 1 Introduction -- 2 Characteristics of Kinetics -- 3 Characteristics of Hand Motion in the Human-Computer Interaction Scenario -- 4 Learning Rules of Cerebellum Prediction Model -- 5 Proposed Algorithm -- 6 Experimental Results -- 7 Conclusion -- Acknowledgment -- References. Forecasting for the Risk of Transmission Line Galloping Trip Based on BP Neural Network -- Abstract -- 1 Introduction -- 2 Galloping Trip Model Based on BP Network -- 2.1 Input and Output Parameters Selection -- 2.2 Data Preprocessing -- 3 Risk Prediction of Galloping Trip Based on BP Network -- 3.1 Numbers of Hidden Layers and Hidden Layer Nodes -- 3.2 Network Function and Weight Determination -- 3.3 Processing of Output Data -- 3.4 Calculation Result -- 4 Conclusion -- Acknowledgment -- References -- A Features Fusion Method for Sleep Stage Classification Using EEG and EMG -- Abstract -- 1 Introduction -- 2 Materials and Method -- 2.1 Data Source -- 2.2 Method -- 3 Results -- 4 Discussions -- 5 Conclusion -- Acknowledgment -- References -- Community Detection Algorithm with Membership Function -- Abstract -- 1 Introduction -- 2 MCDA Algorithm -- 2.1 Related Concepts and Definitions -- 2.2 Implementation of MCDA Algorithm -- 2.3 Complexity Analysis -- 3 Experimental Analysis E -- 3.1 Zachary's Karate Club Dataset -- 3.2 Dolphin Social Network -- 3.3 Computer-Generated Network Dataset -- 4 Conclusion -- Acknowledgment -- References -- Task Scheduling in Cloud Computing Based on Cross Entropy Method -- Abstract -- 1 Introduction -- 2 Task Scheduling in Cloud Computing -- 3 Cross Entropy Method and Principle -- 4 Objective Function Design of Cloud Task Scheduling Problem -- 5 Experiment -- Acknowledgment -- References -- Bad Data Identification Based on Optimized Local Outlier Detection Algorithm -- Abstract -- 1 Introduction -- 2 Modeling -- 3 Local Outlier Factor (LOF) Algorithm -- 3.1 Conversional Local Outlier Factor Algorithm -- 3.2 Optimized Local Outlier Factor Algorithm -- 4 Experimental Results -- 4.1 Conventional Local Outlier Factor Algorithm -- 4.2 Optimized Local Outlier Factor Algorithm -- 4.3 Impact Analysis of K -- 5 Conclusion. References. EBL202104 XX SzGeCERN BOOK Geng, Jing Bian, Fuling https://cds.cern.ch/auth.py?r=EBLIB_P_6306485 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2761691 BOOK MIGRATED 2761680 SzGeCERN 20210421183929.0 9783319268446 electronic version electronic version 9783319268439 print version oai:cds.cern.ch:2761680 cerncds:BOOK EBL 6305188 eng QA76.758 .P763 2015 005.1 Abrahamsson, Pekka Product-focused software process improvement 16th international conference, PROFES 2015, Bolzano, Italy, December 2-4, 2015, proceedings Cham Springer International Publishing AG 2015 623 p ebook Lecture notes in computer science 9459 Intro -- Preface -- Organization -- Processes, Methods and Tools for EngineeringEmbedded Systems -- Human Factors in Software DevelopmentProcesses -- Human Factors in Software DevelopmentProcesses -- Software Startups: State of the Art and Stateof the Practice (SSU2015) -- Contents -- Lessons Learned from Industry-Research Collaborations -- Strategic Ecosystem Management: A Multi-case Study in the B2B Domain -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Business Ecosystems -- 2.2 The `Three Layer Product Model' -- 3 Case Study Design -- 3.1 Case Companies -- 3.2 Data Collection and Validity of Results -- 4 Findings -- 4.1 The Innovation Ecosystem -- 4.2 The Differentiating Ecosystem -- 4.3 The Commoditizing Ecosystem -- 4.4 Summary of Ecosystem Challenges -- 5 Discussion -- 5.1 Ecosystem Characteristics: Case Study Findings -- 5.2 Ecosystem Management -- 6 Conclusions -- References -- Early Value Argumentation and Prediction: An Iterative Approach to Quantifying Feature Value -- Abstract -- 1 Introduction -- 2 Background -- 2.1 The QCD Model: Qualitative and Quantitative Customer Validation -- 3 Early Value Argumentation and Prediction Technique -- 4 Research Method -- 4.1 Case Companies -- 4.2 Data Collection and Analysis -- 5 Validation of the EVAP Technique -- 6 Discussion and Conclusion -- References -- Challenges of Structured Reuse Adoption --- Lessons Learned -- 1 Introduction -- 2 Study Design -- 3 Adoption of a Strategic Reuse Program -- 3.1 Unguided Adoption Attempt --- Company-Internal -- 3.2 Guided Adoption Attempt --- Research Collaboration -- 4 Lessons Learned --- Adoption Attempts -- 4.1 Company-Internal Adoption Difficulties -- 4.2 Research-Industry Adoption Difficulties -- 4.3 Threats to Validity -- 5 Current Research Collaboration -- 5.1 Research Perspective -- 5.2 Industry Perspective -- 6 Conclusion and Future Work. References -- Instruments to Improve the Software Development Process -- Software Process Improvement Implementation Risks: A Qualitative Study Based on Software Development Maturity Models Implementations in Brazil -- Abstract -- 1 Introduction -- 2 Theoretical Background -- 3 Research Methodology -- 3.1 Systematic Mapping Study -- 3.2 Risk Identification Structure -- 3.3 Data Collecting Using Coding Procedures and Thematic Analysis -- 3.4 Auditing -- 4 Results -- 5 Limitations and Threats to Validity -- 6 Related Works -- 7 Conclusions and Future Work -- Acknowledgment -- References -- Model-Driven Development for Multi-platform Mobile Applications -- 1 Introduction -- 2 Background and Motivations -- 3 Developing Multi-platform Mobile Applications -- 3.1 Finite-State Machine Diagram -- 3.2 A Running Example -- 3.3 The Environment -- 4 Conclusion -- References -- SINIS: A Method to Select Indicators for IT Services -- Abstract -- 1 Introduction -- 2 Background -- 3 The SINIS Method -- 4 Case Study -- 5 Related Works -- 6 Final Considerations -- Acknowledgments -- References -- Requirements, Features, and Release Management -- Requirement Prioritization with Quantitative Data - A Case Study -- Abstract -- 1 Introduction -- 2 Problem Statement -- 2.1 Release Content Cast in Stone -- 2.2 Featuritis -- 2.3 Everything and the Kitchen Sink -- 2.4 Summary of Problems -- 3 Research Methodology -- 3.1 The Case Company -- 3.2 The Research Questions -- 3.3 Research Process -- 3.4 Validity Threats -- 4 Results -- 4.1 Data Collected from Mock-up Application -- 4.2 Variation in Prioritization Between First and Second Interview -- 4.3 Alignment Towards Consumer Data Between First and Second Interview -- 4.4 Answers to Open Questions About Value of the Mockup Data -- 4.5 Summary -- 5 Discussion. 5.1 Research Question 1: What Impact Does Quantitative Data that Measures Consumer Usage via a Mock- ... -- 5.2 Research Question 2: How Does the Prioritization Made by Product Managers Match the Consumer Usa ... -- 5.3 Research Question 3: How Valuable Do Product Managers Believe that Quantitative Data Is for Prio ... -- 6 Conclusion and Further Study -- References -- A Method for Requirements Capture and Specification Based on Disciplined Use Cases and Screen Mockups -- 1 Introduction -- 2 Requirements Capture and Specification Using Disciplined Use Cases and Screen Mockups -- 3 Empirical Assessment -- 3.1 Students Projects -- 3.2 Industrial Case Study -- 4 Conclusion and Future Work -- A Precise Use Cases with Screen Mockups Specification Well-Formedness Constraints -- References -- A Case Study on Artefact-Based RE Improvement in Practice -- 1 Introduction -- 2 Fundamentals and Related Work -- 3 ArtREPI: Artefact-Based RE Process Improvement -- 3.1 Improvement Preparation -- 3.2 Problem Analysis -- 3.3 Improvement Design -- 3.4 Improvement Evaluation and Transfer Preparation -- 4 Case Study Design -- 4.1 Objectives and Research Questions -- 4.2 Cases and Subjects -- 4.3 Data Collection and Analysis Procedures -- 5 Case Study Results -- 5.1 RQ 1: Support in RE Improvement Tasks -- 5.2 RQ 2: Support by resulting RE Reference Model -- 5.3 Threats to Validity -- 6 Discussion -- 6.1 Limitations of ArtREPI -- 6.2 Success Factors for ArtREPI -- 7 Conclusion -- References -- Practices of Modern Development Processes -- Artefacts in Agile Software Development -- Abstract -- 1 Introduction -- 2 Theoretical Background -- 2.1 Artefacts in Agile Software Development -- 2.2 Artefact Models -- 2.3 Use of Artefacts -- 2.4 Towards a Scrum Artefact Model -- 3 Case Study Design -- 3.1 Validity -- 4 Results -- 4.1 Organizations -- 4.2 Scrum Artefacts. 4.3 Non-Scrum Artefacts -- 5 Discussion -- 5.1 Artefact Model -- 5.2 Non-Scrum Artefacts: Design, Test and Release-Related Material -- 5.3 Supporting Tools -- 6 Conclusions -- 6.1 Limitations -- 6.2 Future Work -- References -- Is Water-Scrum-Fall Reality? On the Use of Agile and Traditional Development Practices -- 1 Introduction -- 2 Related Work -- 3 Research Design -- 3.1 Research Questions -- 3.2 Data Collection Procedures -- 3.3 Analysis Procedures -- 3.4 Validity Procedures -- 4 Study Results -- 4.1 Study Polulation -- 4.2 RQ1: Which Development Approaches Are Used in Practice? -- 4.3 RQ2: Which Development Approaches Are Combined in Practical Use? -- 4.4 RQ3: Are There Patterns and Trends Observable? -- 5 Study Summary and Discussion -- 6 Conclusion -- References -- Tickets Without Fine -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Project Organization -- 2.2 Initial Process -- 3 Issues of the Initial Process -- 3.1 Specifications on Sprint-Level -- 3.2 Unsuitable Granularity of Specifications -- 3.3 Missing Communication Cycles -- 3.4 Missing Oversight and Transparency -- 4 Improved Ticket-Driven Process -- 4.1 Conceptualization -- 4.2 Implementation -- 4.3 Roll-Out -- 4.4 Results -- 5 Conclusions -- References -- Ontology-Based Identification of Commonalities and Variabilities Among Safety Processes -- 1 Introduction -- 2 Background and Related Work -- 3 OPER -- 4 Applying OPER -- 5 Conclusion and Future Work -- References -- Human Factors in Modern Software Development -- What Motivates Software Engineers Working in Global Software Development? -- 1 Introduction -- 2 Background -- 2.1 Software Engineer Characteristics -- 2.2 Software Engineer Motivation Factors -- 2.3 Demotivation and Herzberg's Two Factor Theory -- 2.4 GSD Environmental Impact on Motivation -- 3 Method -- 4 Results -- 5 Discussion -- 5.1 Hint at a Solution. 6 Conclusions -- 6.1 Limitations -- 6.2 Future Directions -- References -- Empower a Team's Product Vision with LEGO® SERIOUS PLAY® -- 1 Introduction -- 2 Research Design -- 3 Results and Analysis -- 3.1 Building Tasks -- 3.2 Intangible Results -- 3.3 Life After LEGO Serious Play -- 4 Discussion -- 5 Conclusions -- References -- Early Product Design in Startups: Towards a UX Strategy -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Methods, Research Context, and Participants -- 4 Findings -- 4.1 Approaches to Early Product Versions -- 4.2 Design Practices for Early Product Versions -- 4.3 Relevant Skills and Resources in UX Work in Startups -- 5 Discussion and Conclusions -- References -- Effort and Size Estimation Validated by Professionals -- An Empirical Study on Memory Bias Situations and Correction Strategies in ERP Effort Estimation -- Abstract -- 1 Introduction -- 2 Background, Related Work and Motivation -- 3 Research Plan and Execution -- 4 Results -- 5 Discussion -- 6 Limitations -- 7 Conclusions and Future Work -- 7.1 Implications for Research, Practice and Teaching -- References -- Applying a Verification Protocol to Evaluate the Accuracy of Functional Size Measurement Procedures: ... -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Verification Protocol -- 4 Description of the Empirical Study -- 5 Analysis and Interpretation -- 6 Conclusions and Future Work -- References -- From Function Points to COSMIC - A Transfer Learning Approach for Effort Estimation -- 1 Introduction -- 2 Functional Size Measures: 1st and 2nd Generation -- 2.1 Functional Measurement Methods -- 2.2 The IFPUG Method -- 2.3 The COSMIC Method -- 2.4 Converting Function Points into COSMIC -- 3 The Proposed Transfer Learning Approach -- 4 Empirical Study -- 4.1 Data Set -- 4.2 Validation Method -- 4.3 Employed Benchmarks -- 4.4 Evaluation Criteria -- 4.5 Results. 5 Threats to Validity. EBL202104 XX SzGeCERN BOOK Corral, Luis Oivo, Markku Russo, Barbara https://cds.cern.ch/auth.py?r=EBLIB_P_6305188 ebook n 202114 21 PUBLIC https://catalogue.library.cern/legacy/2761680 BOOK MIGRATED 2761679 SzGeCERN 20210421183929.0 9783319584843 electronic version electronic version 9783319584836 print version oai:cds.cern.ch:2761679 cerncds:BOOK EBL 6305187 eng Q335 .H35 2017 006.3 Nah, Fiona Fui-Hoon HCI in business, government and organizations supporting business 4th international conference, HCIBGO 2017, held as part of HCI international 2017, Vancouver, BC, Canada, July 9-14, 2017, proceedings, part II Cham Springer International Publishing AG 2017 472 p ebook Lecture notes in computer science 10294 Intro -- Foreword -- HCI International 2017 Thematic Areas and Affiliated Conferences -- Contents -- Part II -- Contents -- Part I -- E-Commerce and Consumer Behaviour -- Sharing Economy Versus Access Economy -- Abstract -- 1 Introduction -- 2 Defining the Sharing Economy -- 3 Peer Interaction in the Sharing Economy -- 3.1 Different Parties in the Sharing Economy -- 3.2 Sharing in the Sharing Economy -- 4 Motivations to Participate in the Sharing Economy -- 4.1 Social Interaction as Motivator in the Sharing Economy -- 5 Social Interaction in P2P Economies -- 6 Conclusion -- Acknowledgement -- References -- Employing Relation Visualizations to Enhance the Shopping Experience on a Used Car Trading Platform -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 User Study -- 3.1 Methods -- 3.2 Summary of the User Research -- 4 Searching Interface with Data Visualization -- 4.1 The Visualization Design -- 4.2 Searching with the Interface -- 4.3 Use Example -- 4.4 Interaction Between Detail Page with the Visualization -- 4.5 Heuristic Evaluation -- 5 Discussion and Conclusion -- References -- Arousal or Not? The Effects of Scarcity Messages on Online Impulsive Purchase -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Online Impulsive Purchase -- 2.2 The Environmental Psychology View of Online Scarcity Message -- 3 Research Model and Hypotheses -- 3.1 Effects of Scarcity Messages on Arousal -- 3.2 Effects of Arousal on Urge to Buy Impulsively -- 4 Research Methodology -- 4.1 Experimental Design -- 4.2 Sample and Experimental Procedures -- 5 Data Analysis and Results -- 5.1 Subject Demographics and Background Analysis -- 5.2 Manipulation and Measurement -- 5.3 Results Pertaining to Perceived Arousal -- 5.4 Results Pertaining to Impulsive Purchase -- 6 Discussion and Conclusion -- 6.1 Discussion of Key Findings -- 6.2 Implications. 6.3 Conclusion -- Appendix A. Measurement Items -- References -- Gamification in E-Commerce -- 1 Introduction -- 1.1 Related Work -- 1.2 Methodology -- 1.3 Octalysis -- 2 Survey -- 2.1 Apparel and Sporting Goods -- 2.2 Travel and Holiday Accommodation -- 2.3 Household Items and Toys -- 2.4 Books, Magazines, Newspapers -- Tickets for Events -- 3 Discussion -- 4 Conclusions and Future Work -- References -- Priming and Context Effects of Banner Ads on Consumer Based Brand Equity: A Pilot Study -- Abstract -- 1 Introduction -- 2 Methodology -- 3 Empirical Results -- 3.1 Assumption 1 - Assimilation Effect -- 3.2 Assumption 2 - Congruency -- 4 Discussion and Limitations -- Appendix -- References -- Consumers' Trust in Price-Forecasting Recommendation Agents -- Abstract -- 1 Introduction -- 2 Theoretical Background -- 2.1 Toulmin's Model of Arguments -- 2.2 Trusting Beliefs -- 2.3 Explanation Facilities -- 3 Hypothesis Development -- 4 Pilot Study -- 4.1 Experiment Design -- 5 Results -- 6 Summary -- References -- Mobile Shopping Should be Useful, Convenient and Fun! -- Abstract -- 1 Introduction -- 2 Literature Review and Development of Hypotheses -- 2.1 UTAUT2 as the Foundational Model -- 2.2 Performance Expectancy (PE) -- 2.3 Effort Expectancy -- 2.4 Hedonic Motivation -- 2.5 Social Influence -- 2.6 Facilitating Conditions -- 2.7 Habit -- 2.8 Perceived Convenience -- 2.9 Research Model -- 3 Research Methods -- 3.1 Design -- 3.2 Data Analysis -- 4 Results -- 4.1 Descriptive Statistics -- 4.2 The Measurement Model -- 4.3 The Structural Model -- 5 Discussion -- 5.1 Limitations and Future Research -- 6 Conclusion -- References -- Effect of Timing and Source of Online Product Recommendations: An Eye-Tracking Study -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Recommendation Timing -- 2.2 Online Product Review -- 2.3 Eye Tracking Method. 3 Theoretical Background and Hypotheses -- 4 Methodology -- 5 Data Analysis and Results -- 5.1 Data Analysis on Pupil Dilation -- 5.2 Data Analysis on Fixation Duration Per Second -- 6 Discussion and Conclusion -- 6.1 Discussion -- 6.2 Limitation -- 6.3 Contribution -- References -- Optimize the Coupon Face Value for Online Sellers -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Model -- 4 Equilibrium Analysis -- 5 Conclusion -- Acknowledgments -- Appendix -- References -- Acceptance of Personalization in Omnichannel Retailing -- Abstract -- 1 Introduction -- 2 Omnichannel Retailing -- 2.1 Retailing Context -- 2.2 Privacy Concerns -- 2.3 Intention to Adopt -- 2.4 Relation Between Privacy Concerns and Intention to Adopt -- 3 Methodology -- 4 Results -- 4.1 Sample and Measurement Model -- 4.2 Hypothesis Testing -- 5 Discussion and Conclusion -- References -- Review-Based Screening Interface for Improving Users' Decision Process in E-commerce -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Three-Stage Decision Making Process of Online Purchasing -- 2.2 Review-Based Interface Design -- 3 Review-Based Screening Interface -- 4 User Study -- 4.1 Materials -- 4.2 Evaluation Framework -- 4.3 Within-Subjects Study -- 4.4 Procedure and Participants -- 5 Results -- 5.1 Subjective Measures -- 5.2 Objective Measures -- 5.3 User Comments -- 6 Discussion -- Acknowledgements -- References -- Eye-Tracking Analysis of Gender-Specific Online Information Research and Buying Behavior -- Abstract -- 1 Introduction -- 2 Conceptual Framework and Hypotheses -- 2.1 Review of Literature -- 2.2 Research Object: Online Shops with a Gender-Specific Design -- 2.3 Hypotheses Development -- 3 Methodology -- 3.1 Design and Participants -- 3.2 Eye-Tracking as an Observational Method -- 3.3 Tasks -- 4 Metrics -- 5 Results/Hypotheses Testing. 6 Discussion and Limitations -- 6.1 Discussing the Results -- 6.2 Limitations -- 7 Summary -- References -- Social Media for Business -- The Effects of Online Review Message Appeal and Online Review Source Across Two Product Types on Review Credibility, Product Attitude, and Purchase Intention -- Abstract -- 1 Introduction -- 2 Theoretical Framework -- 2.1 Online Review Message Appeals -- 2.2 Online Review Sources -- 2.3 Match Between Online Review Message Appeal and Online Review Source -- 3 Methods -- 3.1 Research Design and Procedure -- 3.2 Manipulations -- 3.3 Participants -- 3.4 Measurements -- 4 Results -- 4.1 Study 1 (Technical Product) -- 4.2 Study 2 (Non-technical Product) -- 5 Discussion and Future Research Directions -- 5.1 Discussion of Results -- 5.2 Future Research Directions -- References -- Participation in Collaborative Consumption - A Value Co-creation Perspective -- Abstract -- 1 Introduction -- 2 Literature Review and Hypothesis Development -- 2.1 Collaborative Consumption -- 2.2 A Value Co-creation Framework for Collaborative Consumption -- 3 Research Methods -- 3.1 Data Collection -- 3.2 Questionnaire Development -- 4 Data Analysis and Discussions -- 5 Discussions and Conclusions -- References -- How to Get Endorsements? Predicting Facebook Likes Using Post Content and User Engagement -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Item-Based Model: BLEU -- 3.2 User-Based Model: RBM -- 4 Experiments -- 4.1 Dataset -- 4.2 Baselines -- 4.3 Evaluation Metric -- 5 Predicting Facebook Likes -- 5.1 Item-Based Model -- 5.2 User-Based Model -- 5.3 Hybrid Model -- 5.4 Discussion -- 6 Conclusion -- Acknowledgements -- References -- Dueling for Trust in the Online Fantasy Sports Industry: Fame, Fortune, and Pride for the Winners -- Abstract -- 1 Introduction -- 1.1 Online Fantasy Sports and Fanduel. 2 Proposed Model of Gambling Intention -- 2.1 Gambling Involvement -- 2.2 Gambling Intention -- 2.3 Trust and Trust Antecedents -- 2.4 Subjective Norms -- 2.5 Trust and Gambling Involvement -- 2.6 Institutional Trust -- 2.7 Gambling Individual Motivations -- 3 Method -- 3.1 Subjects and Procedure -- 3.2 Measures -- 4 Expected Contributions and Discussion -- Appendix: Measurement Items -- References -- Internet Use and Happiness: A Longitudinal Analysis -- Abstract -- 1 Why Study Happiness and the Internet? -- 2 What Is Happiness? -- 3 Individual Difference and Happiness -- 4 Happiness and the Internet -- 4.1 The Internet Paradox -- 4.2 Displacement Versus Stimulation Hypothesis -- 4.3 The Internet and Social Connectedness -- 5 Research Overview -- 6 Questions -- 6.1 Internet Use and Happiness -- 6.2 Internet Use and Happiness Over Time -- 6.3 Internet Activities -- 7 Research Method -- 7.1 Participants -- 7.2 Measures -- 7.3 Procedure -- 8 Results -- 8.1 Relationship Between Internet Usage and Happiness -- 8.2 Internet Use, and Happiness as a Function of Time -- 8.3 Qualitative Analyses -- 9 Conclusions -- References -- A Theoretical Model of Incorporating Gamification Design into On-line Marketing -- Abstract -- 1 Research Background and Objective -- 2 Game and Gamification -- 3 Analyzing Gamification Design from the Marketing Dimension -- 4 Analyzing Gamification Users' Audience Pleasure Model from the Aspect of Communication Studies -- 5 Analyzing the Application of Gamification to Websites from the User-Centered Human-Computer Interaction -- 6 Relevant Models Applying Gamification to Websites -- 7 Construction of a Theoretical Model -- 8 Conclusion -- References -- Extracting Important Knowledge from Multiple Markets Using Transfer Learning -- Abstract -- 1 Introduction -- 2 Background and Related Works -- 2.1 Customer Reviews. 2.2 NMF(Non-negative Matrix Factorization). EBL202104 XX SzGeCERN BOOK Tan, Chuan-Hoo https://cds.cern.ch/auth.py?r=EBLIB_P_6305187 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2761679 BOOK MIGRATED 2761643 SzGeCERN 20210421183930.0 9783662442081 electronic version electronic version 9783662442074 print version oai:cds.cern.ch:2761643 cerncds:BOOK EBL 6305034 eng QA75.5-76.95 004.6 Kimppa, Kai ICT and society 11th IFIP TC 9 international conference on human choice and computers, HCC11 2014, Turku, Finland, July 30 - August 1, 2014, proceedings Berlin Springer 2014 387 p ebook IFIP advances in information and communication technology 431 Intro -- Preface -- HCC11 - 2014 -- Table of Contents -- Society, Social Responsibility, Ethics and ICT -- E-retailing Ethics in Egypt and Its Effect on Customer Repurchase Intention -- 1 Introduction -- 2 Literature Review -- 3 Theoretical Model and Research Hypotheses -- 3.1 ORE and Repurchase Intention -- 4 Method -- 4.1 Sample Selection and Data Collection -- 4.2 Measurement Scales -- 5 Results -- 5.1 Descriptive Statistics -- 5.2 Measurement Model -- 5.3 Structural Model -- 6 Discussion -- 7 Theoretical Contribution -- 8 Implications for Practice and Future Research Directions -- 9 Conclusion -- References -- Connecting Social Capital by Social Media -- 1 Introduction -- 2 Theoretical Inspiration and Research Horizon -- 3 Methods and Data Sample -- 4 Data Analysis -- 4.1 Part I: The Changing Web Landscape of Social Media -- 4.2 Part II: Three Social Web Mediated Practices Connecting Social Capital -- 5 Conclusion -- References -- Enhancing Innovation Potential through Local Capacity Building in Education -- 1 Introduction -- 1.1 Eurocentrism in Science -- 1.2 Universities and Research -- 2 Educational Policies in Developing Countries -- 2.1 Kenya and Rwanda -- 2.2 India and Bangladesh -- 2.3 Language Question in Primary and Secondary Education -- 3 Research and Results -- 3.1 Research Methods -- 3.2 Results -- 4 Globalization Solutions through Capacity Building -- 4.1 Goal to Enhance Global Innovation Potential -- 4.2 Bringing in Local Capacities -- 4.3 Proposed Measures for Universities -- 5 Conclusion -- References -- Independent Agents and Ethics -- 1 Challenges of New Technology -- 2 Option and Ethical Decision Making -- 3 Support for Ethical Competence -- 4 Systems and Robots as Ethical Agents -- 5 Identifying and Supporting an Independent Agent -- References -- The Time of Our Lives: Understanding Irreversible Complex User Experiences. 1 Introduction -- 2 Complexity -- 3 User Experience (UX) -- 4 Further Research -- 5 Conclusion -- References -- Sustainable ICT: A Critique from the Perspective of World Systems Theory -- 1 Introduction -- 1.1 Outline of the Paper -- 2 Sustainable ICT and World Systems Theory -- 2.1 From Green Computing to Sustainable ICT -- 2.2 World Systems Theory -- 2.3 World Systems Theory and ICT -- 3 The Value Chain of ICT -- 3.1 Materials Extraction -- 3.2 Manufacturing -- 3.3 Use -- 3.4 Refurbish and Reuse -- 3.5 Disposal -- 3.6 Summary -- 4 Conclusions -- References -- Origins, Developments and Future of the Concept of Innovation: Opening the Economic Framing of Innovation to Social, Ethical, Political Parameters to Achieve Responsibility: Strengths and Limits -- 1 Introduction -- 2 History of the Concept -- 3 Opening the Sphere of Meaning (and Limits) -- 3.1 Innovation as "New Combinations" -- 3.2 Consequences of the Inherent Link between Innovation and Economics -- 4 Conclusion -- References -- Human-Driven Design: A Human-Driven Approach to the Design of Technology -- 1 Introduction -- 2 Related Frameworks -- 2.1 Human-Centred Design -- 2.2 Participatory Design -- 2.3 Value Sensitive Design -- 2.4 Human-Driven Design and Research -- 2.5 Life-Based Design -- 2.6 Summary -- 3 Reflecting Human-Driven Design -- 3.1 Human and Social View -- 3.2 Participation -- 3.3 Responsibility -- 4 Discussion -- References -- Slow Tech: The Bridge between Computer Ethics and Business Ethics -- 1 Introduction -- 2 Slow Tech and Its Parallels to Slow Food -- 3 Computer Ethics and Business Ethics -- 4 Corporate Social Responsibility -- 5 ICT Vendors and Corporate Social Responsibility -- 6 Slow Tech as a Bridge: Good, Clean and Fair ICT -- 7 Conclusions, Challenges and Next Steps -- References -- Towards a Smart Community Centre: SEIDET Digital Village. 1 Introduction and Background -- 2 Literature Study -- 2.1 SEIDET Community Centre -- 2.2 Smart City -- 2.3 Smart Community -- 3 The Proposed Model of a Smart Community Centre -- 3.1 Smart Community Centre Model -- 3.2 An Example of the Proposed Model Application within SEIDET Community Centre -- 4 Concluding Discussion -- References -- Computers, Time and Speed: Five Slow Tech Case Studies -- 1 Time and Speed: Their Relationship with Slow Tech -- 2 Time and Speed: Their Relationship with ICT -- 2.1 Human Fascination with Time and Speed -- 2.2 The Myth of Speed -- 2.3 Dealing with Limits and with Myths -- 3 Case Studies to Illustrate the Challenges of Time and Speed -- 3.1 Long Lifecycles: The Lotka-Volterra Model -- 3.2 Long-Lasting Dangers: Onkala, Finland -- 3.3 Crops for Eternity: Svalbard, Norway -- 3.4 Long-Term Thinking: Van Horn, Texas -- 3.5 Limits to the Speed of Machines? NYSE, New York Stock Exchange -- 4 Discussion and towards a Set of Conclusions -- References -- Case Study of Practice of the Tea Ceremony (Sado) through Distance Education On the Ethics of ICT -- 1 Introduction -- 2 Background of Lessons of the Tea Ceremony -- 3 Case Study of the Tea Ceremony through Distance Education -- 4 Ethics in Distance Education Systems -- 5 Conclusion -- References -- The History of Computing and Its Meaning for the Future -- A Little-Known Chapter in the History of Computing in Belgium: The Machine Mathématique IRSIA-FNRS -- 1 Introduction -- 2 Historical Context -- 3 Anatomy of the Machine -- 3.1 Designation and Definition -- 3.2 Logical Architecture -- 3.3 External Aspects -- 3.4 Description of the Physical Architecture -- 3.5 Programming -- 4 Discussion -- References -- Ingenuity in Isolation: Poland in the International History of the Internet -- 1 Introduction -- 2 Methodology -- 3 Polish Networking at the End of the Cold War. 4 Networks in Poland -- 5 Standards and Connections -- 6 Computers and the Underground -- 7 Conclusion -- References -- Implementation Criteria of University Computer Education in Spain between First Experiences and the European Higher Education Space (EHES) -- 1 Introduction -- 2 1969, Informatics Institute. Official Certification, Out of the University -- 3 1976, the First University Degrees in Informatics -- 4 1992, Informatics Engineering -- 5 2010, European Computer People -- 5.1 Adaptation to the EHES -- 5.2 Results of the Adaptation to the EHES -- 5.3 Coming Steps -- 6 Conclusion -- References -- Reasoning vs. Orthodoxy, or, The Lesson from the Fate of Russian "Reasoning Machine" -- 1 Introduction -- 2 Professor Alexander Schukarev: His Way in the Science -- 3 First Acquaintance with Logical Machine -- 4 New Life of Logical Machine -- 5 Scientist and Ideology: The Fate of the Doomed -- 6 Conclusion -- References -- The Personal Documentary Funds of the Computer Technology Founders at the Polytechnic Museum -- 1 Introduction -- 2 Conclusion -- References -- History of the Use of Computers and Information Technology in Education in Universities and Schools in Victoria -- 1 Introduction: Early Use of Computers in Australia -- 2 Computers in Education - Universities and Schools -- 2.1 The Period from 1930s-1950 -- 2.2 The Period from 1950-1959 -- 2.3 The Period from 1960-1969 -- 2.4 The Period from 1970-1979 -- 2.5 The Period from 1980-1989 -- 2.6 The Period from 1990 to the Present -- 3 Conclusion -- References -- Peace, War, Cyber-Security and ICT -- A Privacy Preserving Design Framework in Relation to an Environmental Scanning System for Fighting Organized Crime -- 1 Introduction -- 1.1 Purpose and Scope -- 1.2 Paper Structure -- 2 Ethical and Privacy Issues in Relation to Environmental Scanning of Data Streams from Social Networking Sites. 3 Overview of the Privacy by Design Paradigm and Privacy Preserving Methods -- 3.1 Preliminary Outline of a Privacy Preserving Framework and Privacy Preserving Methods -- 3.2 General Recommendations for Setting Up a Privacy Preserving Framework -- 4 Concluding Remarks -- References -- On the Probability of Predicting and Mapping Traditional Warfare Measurements to the Cyber Warfare Domain -- 1 Introduction -- 2 Predicting Traditional Warfare -- 2.1 Causes of Traditional Warfare -- 2.2 Traditional Warfare Elements -- 2.3 Metrics for Traditional Warfare -- 3 Defining Cyber Warfare -- 3.1 Acts of Cyber Aggression -- 4 The Status of Current Information Security Metrics -- 4.1 Cyber Readiness Index -- 4.2 Common Vulnerability and Exposures -- 5 Mapping Traditional Warfare Metrics to Cyber Warfare -- 5.1 Condition 1: Political Power Fluctuations -- 5.2 Condition 2: Potential for Lethality -- 5.3 Condition 3: Needs of the Offending Nation State -- 6 Testing the Formula for Predicting Cyber Warfare -- 6.1 Condition 1: Political Power Fluctuations -- 6.2 Condition 2: Potential for Lethality -- 6.3 Condition 3: Needs of the Offending Nation State -- 6.4 Formula for Predicting Cyber Warfare -- 7 Conclusion -- References -- Security and Privacy as Hygiene Factors of Developer Behavior in Small and Agile Teams -- 1 Introduction -- 2 The Herzberg Two-Factor Theory -- 3 Security Engineering -- 4 Case Study Description -- 4.1 Approach to Raise Security Awareness -- 4.2 Application Example -- 5 Discussion -- 5.1 Motivator Type Requirements: A Personal Link -- 5.2 Hygiene Type Requirements: Implemented When Easy -- 5.3 Not Implemented Requirements: Organizational Solutions -- 5.4 Ideas for Approaching the Avoidance of Hygienic Requirements -- 6 Conclusions -- References -- Towards an Ontological Model Defining the Social Engineering Domain -- 1 Introduction. 2 Defining Social Engineering. EBL202104 XX SzGeCERN BOOK Whitehouse, Diane Kuusela, Tiina Phahlamohlaka, Jackie https://cds.cern.ch/auth.py?r=EBLIB_P_6305034 ebook n 202114 21 PUBLIC https://catalogue.library.cern/legacy/2761643 BOOK MIGRATED 2761616 SzGeCERN 20210421183931.0 9783319122564 electronic version electronic version 9783319122557 print version oai:cds.cern.ch:2761616 cerncds:BOOK EBL 6304910 eng QA76.9.D26 .A383 2014 005.74 Indulska, Marta Advances in conceptual modeling ER 2014 workshops, ENMO, MoBiD, MReBA, QMMQ, SeCoGIS, WISM, and ER Demos, Atlanta, GA, USA, October 27-29, 2014 proceedings Cham Springer International Publishing AG 2014 315 p ebook Lecture notes in computer science 8823 Intro -- Preface -- Organization -- Table of Contents -- 1st International Workshop on Enterprise Modeling (ENMO14) -- Preface to ENMO 2014 -- Model Based Enterprise Simulation and Analysis -- 1 Introduction -- 2 Motivation -- 3 Proposed Solution -- 3.1 Rationale -- 4 Validation -- 5 Conclusion and Future Work -- References -- 3D vs. 4D Ontologies in Enterprise Modeling -- 1 Introduction -- 2 The BORO and eUFO Ontology -- 2.1 eUFO -- 2.2 BORO -- 2.3 Introducing eUFO and BORO -- 3 Enterprise Modeling Enigmas -- 3.1 The Troy Enigma -- 3.2 The Helena Enigma -- 4 Discussion -- 5 Conclusion -- References -- Applications of Ontologies in Enterprise Modelling: A Systematic Mapping Study -- 1 Introduction -- 2 Background -- 2.1 Ontology -- 2.2 Enterprise Modelling -- 2.3 Ontologies for Enterprise Modelling -- 3 Research Method -- 3.1 Planning -- 3.2 Execution -- 4 Results -- 4.1 Overview of Studies -- 4.2 Evaluation of Research Questions -- 5 Threats to Validity -- 6 Conclusion -- References -- Appendix: List of Papers -- 2nd International Workshop on Modeling and Management of Big Data (MoBiD14) -- Preface to MoBiD 2014 Extracting Value from Big Data -- A Semi-clustering Scheme for High Performance PageRank on Hadoop -- 1 Introduction -- 2 Related Work -- 3 Semi-clustering Scheme for Improving the Performance of PageRank -- 3.1 Sorting of Vertices in a Graph -- 3.2 Creation of Initial Semi-clusters -- 3.3 Reconstruction of Semi-clusters -- 3.4 Allocation of Semi-clusters -- 4 Performance An nalysis -- 5 Conclusion and Future Work -- References -- Energy Consumption Prediction by Using an Integrated Multidimensional Modeling Approach and Data Mining Techniques with Big Data -- 1 Introduction -- 2 Related Work -- 3 Architecture -- 3.1 Setup Phase -- 3.2 Running Phase -- 4 CaseScenario -- 5 Discussion -- References. Benchmarking Performance for Migrating a Relational Application to a Parallel Implementation -- 1 Introduction -- 2 Apache Hive -- 3 Experimental Setup -- 3.1 Hardware Configuration -- 3.2 Software Configuration -- 3.3 Experimental Procedure -- 4 Results and Analysis -- 4.1 Results -- 4.2 Analysis -- 5 Related Work -- 6 Future Work -- References -- A Data Quality in Use Model for Big Data -- 1 Introduction -- 2 Flashback: What Has Changed in Data Quality? -- 3 The 3Cs Data Quality-in-Use Model -- 3.1 ISO 25000 and Quality-in-Use for Big Data -- 3.2 A Quality-in-Use Model for Big Data -- 3.3 Impact of 3Vs on the Measurement of the Quality-in-Use -- 4 Conclusions and Future Work -- References -- Business Intelligence and Big Data in the Cloud: Opportunities for Design-Science Researchers -- 1 Introduction -- 2 Typology of Design-Science Research Artifacts -- 3 Current State of Research for Business Intelligence and Big Data in the Cloud -- 3.1 Data Management -- 3.2 Service Management -- 3.3 Security Management -- 3.4 Synthesis -- 4 Business Intelligence in the Cloud: Open Issues and Opportunities for Design-Science Research -- 4.1 Data Management -- 4.2 Service Management -- 4.3 Security Management -- 4.4 Capacity Management -- 5 Discussion and Conclusion -- References -- From Business Intelligence to Semantic Data Stream Management -- 1 Introduction -- 2 From BI to Semantic Data Stream Management -- 3 Semantic Filtering and Continuous Queries -- 4 Data Summarization -- 4.1 Data Stream Sampling -- 4.2 Distributed Data Stream Sampling -- 5 Summarizing Semantic Data Streams -- 6 Conclusion -- References -- 1st International Workshop on Conceptual Modeling in Requirements and Business Analysis (MReBA14) -- Preface to MReBA 2014 -- Understandability of Goal Concepts by Requirements Engineering Experts -- 1 Introduction -- 2 Research Problem. 3 Research Methodology -- 4 Defining Understandability -- 5 Observations -- 6 Discussion -- 7 Answers to Research Questions -- 8 Related Work -- 9 Implications -- 9.1 Implications for Practice -- 9.2 Future Research -- References -- On the Definition of Self-service Systems -- 1 Introduction -- 2 Illustration - Self-service in Business Intelligence -- 3 Why Make Self-service Systems? -- 4 Indirect Requirements Satisfaction -- 5 Requirements from Selfs and Non-selfs -- 6 Requirement Engineering for Selfs -- 6.1 Selfs vs Non-self: An Illustration -- 6.2 A RE Process Adapted for Selfs -- 7 Challenges of Selfs for Requirements Engineering -- 8 Conclusion and Future Work -- References -- Semantic Monitoring and Compensation in Socio-technical Processes -- 1 Introduction -- 2 Semantic Process Monitoring -- 3 Semantic Compensation -- 4 Implementation and Evaluation -- 5 Related Work -- 6 Conclusion -- References -- Modeling Regulatory Compliance in Requirements Engineering -- 1 Introduction -- 2 N`omos 3 -- 3 Reasoning -- 4 Conclusions and Future Work -- References -- Automated Completeness Check in KAOS -- 1 Introduction -- 2 Motivating Example -- 3 KAOS -- 4 Related Work -- 5 Automating the Completeness Criteria -- 5.1 Completeness Criterion 1 -- 5.2 Completeness Criteria 2 -- 5.3 Completeness Criterion 3 -- 6 Conclusion and Future Work -- References -- Practical Goal Modeling for Enterprise Change Context: A Problem Statement -- 1 Introduction -- 2 Industrial Problem Statement -- 3 Key Questions in Practical Application of Goal Modeling -- 3.1 What to Model? -- 3.2 How to Model It? -- 3.3 HowtoMake Use of What IsModeled? -- 4 Toward More Practical Goal Modeling -- References -- 1st International Workshop on Quality of Models and Models of Quality (QMMQ14) -- Preface to QMMQ 2014 -- A Superstructure for Models of Quality -- 1 Introduction. 2 Conceptualization Superstructure -- 2.1 Symbols -- 2.2 Classes -- 2.3 Information -- 2.4 Knowledge -- 2.5 Evidence -- 2.6 Communication -- 2.7 Action -- 3 Implementation Status -- 4 Concluding Remarks -- References -- A Quality Management Workflow Proposal for a Biodiversity Data Repository -- 1 Introduction -- 2 Data Quality Management Overview -- 3 Biodiversity DQM - Species Occurrence Data Example -- 4 Biodiversity Exploratories Information System (BExIS) -- 5 Data Quality Management Overview -- 5.1 Data Quality Criteria Definition -- 5.2 Error Detection Analysis -- 6 Implementation and Evaluation -- 7 Conclusion -- References -- Applying a Data Quality Model to Experiments in Software Engineering -- 1 Introduction -- 2 Background: Data Quality Meta-model -- 3 Experiments Description -- 4 Data Quality Model for Software Engineering Experiments -- 5 Data Quality Metric Example: Inter-relation Integrity Rule -- 6 Results -- 7 Related Work -- 8 Conclusions -- References -- Towards Indicators for HCI Quality Evaluation Support -- 1 Introduction and Background -- 2 Overview about HCI Evaluation -- 3 Defining Quality Indicators for HCI Quality Evaluation Based on ISO/IEC 15939 Standard -- 3.1 Proposed Approach -- 3.2 An Example of a Quality Indicator -- 4 Feasibility Study: Evaluating a Traffic Supervision System -- 5 Conclusion and Perspectives -- References -- 8th International Workshop on Semantic and Conceptual Issues in GIS (SeCoGIS14) -- Preface to SeCoGIS 2014 -- Towards a Qualitative Representation of Movement -- 1 Introduction -- 2 Related Work -- 3 Qualitative Representation of Movement -- 3.1 Spatio-temporal Primitives -- 3.2 Classification of Movement -- 4 Conceptual Neighbor Diagram -- 5 Conclusion -- References -- Lagrangian Xgraphs: A Logical Data-Model for Spatio-Temporal Network Data: A Summary -- 1 Introduction. 2 Description of STN Datasets -- 3 Lagrangian Xgraphs -- 3.1 Desired Routing-Related Concepts to Be Modeled -- 3.2 Proposed Logical Model -- 3.3 Sample Lagrangian Xgraph -- 4 Conclusion and Future Work -- References -- Efficient Reverse kNN Query Algorithm on Road Network Distances Using Partitioned Subgraphs -- 1 Introduction -- 2 Basic Method for RkNN Search -- 3 RkNN Query Algorithm on Partitioned Subgraph -- 4 Experimental Results -- 5 Conclusion -- References -- Using the Model-Driven Architecture Approach for Geospatial Databases Design of Ecological Niches and Potential Distributions -- 1 Introduction -- 2 Related Work -- 3 Formalisms for Modeling Geospatial Databases -- 4 Modeling Environmental Niches and Potential Distributions Using MDA -- 4.1 CIM Level -- 4.2 PIM Level -- 4.3 PSM Level -- 4.4 Implementation -- 5 Concluding Remarks -- References -- OMT-G Designer: A Web Tool for Modeling Geographic Databases in OMT-G -- 1 Introduction -- 2 Background and Related Work -- 3 OMT-GDesigner -- 4 Example -- 5 Conclusion -- References -- A Model of Aggregate Operations for Data Analytics over Spatiotemporal Objects -- 1 Introduction -- 2 Related Work -- 3 Definitions -- 4 Conceptual Framework -- 5 Implications for Queries -- 6 Conclusion -- References -- 11th International Workshop on Web Information Systems Modeling (WISM14) -- Preface to WISM 2014 -- Natural Language Processing for Linking Online News and Open Government Data -- 1 Introduction -- 2 Proposed Solution: SPEAk -- 3 Design -- 3.1 Ontology -- 4 Implementation -- 5 Results and Discussion -- 5.1 Evaluation -- 5.2 Discussion -- 6 Related Work -- 7 Conclusions -- 7.1 Future Work -- References -- Enterprise Linked Data: A Systematic Mapping Study -- 1 Introduction -- 2 Design -- 2.1 Planning -- 2.2 Execution -- 3 Results -- 3.1 Studies Overview -- 3.2 Research Questions Evaluation. 4 Threats to Validity. EBL202104 XX SzGeCERN BOOK Purao, Sandeep https://cds.cern.ch/auth.py?r=EBLIB_P_6304910 ebook n 202114 21 PUBLIC https://catalogue.library.cern/legacy/2761616 BOOK MIGRATED 2761614 SzGeCERN 20210421183931.0 9783319716824 electronic version electronic version 9783319716817 print version oai:cds.cern.ch:2761614 cerncds:BOOK EBL 6304906 eng QA76.76.I58 .A98 2017 006.3 Sukthankar, Gita Autonomous agents and multiagent systems AAMAS 2017 workshops, best papers, São Paulo, Brazil, May 8-12, 2017, revised selected papers Cham Springer International Publishing AG 2017 308 p ebook Lecture notes in computer science 10642 Intro -- Preface -- Organization -- Contents -- Elastic &amp -- Load-Spike Proof One-to-Many Negotiation to Improve the Service Acceptability of an Open SaaS Provider -- 1 Introduction -- 2 Motivation -- 3 The Elasticity Management Architecture (EMan) -- 3.1 Agents -- 3.2 Coordination Strategies -- 4 Adaptive Negotiation Strategy -- 4.1 Triggering the Adaptation Mechanism -- 4.2 Opponent Learning and Modeling Algorithm -- 4.3 Negotiation Adaptation -- 5 Evaluation -- 5.1 Experiments Parameters -- 5.2 Evaluating the Adaptation Mechanism -- 5.3 The Impact of the Workload A -- 5.4 Coordination and Negotiation Overhead -- 6 Related Works -- 6.1 Learning Opponent Negotiation Model -- 6.2 One-to-many Negotiation -- 7 Conclusions and Future Works -- References -- Opponent Modeling with Information Adaptation (OMIA) in Automated Negotiations -- 1 Introduction -- 2 Negotiation Setting -- 3 Opponent Modeling with Information Adaptation -- 3.1 Basic Notation -- 3.2 Predicting Future Concessions -- 3.3 Making Concessions by Calculating Expected Utility -- 4 Adaptation to Four Types of Private Information -- 5 Experimental Results -- 5.1 Experimental Setting -- 5.2 Results Analysis -- 6 Related Work -- 7 Conclusion -- References -- Uncertainty Assessment in Agent-Based Simulation: An Exploratory Study -- 1 Introduction -- 2 Overview of Uncertainty in ABS -- 3 Related Work -- 4 MASE Exploratory Study -- 5 Results -- 6 Conclusions -- References -- Developing Multi-agent-based Thought Experiments: A Case Study on the Evolution of Gamete Dimorphism -- 1 Introduction -- 2 Restructuration of Scientific Domain Knowledge Through Multi-agent-based Modeling -- 3 Developing a Multi-agent-based Thought Experiment on the Evolution of Gamete Dimorphism -- 3.1 Literature Review -- 3.2 The NetLogo Model of Gamete Dimorphism -- 4 Findings and Discussion. 4.1 Zygote Survival as a Function of Zygote Mass -- 4.2 Mating Types -- 4.3 Adult and Gamete Motility -- 4.4 A Qualitative Comparison Between the Two Models of Anisogamy -- 5 Conclusions -- 5.1 Limitations -- References -- Cooperative Multi-agent Control Using Deep Reinforcement Learning -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Deep Q-Network -- 3.2 Deep Deterministic Policy Gradient -- 3.3 Asynchronous Advantage Actor Critic -- 3.4 Trust Region Policy Optimization -- 3.5 Reward Structure -- 3.6 Curriculum Learning -- 4 Cooperative Reinforcement Learning -- 4.1 Centralized -- 4.2 Concurrent -- 4.3 Parameter Sharing -- 5 Tasks -- 5.1 Discrete -- 5.2 Continuous -- 6 Experiments -- 6.1 Discrete Control Task -- 6.2 Continuous Control Tasks -- 6.3 Scaling -- 7 Conclusion -- References -- Stereotype Reputation with Limited Observability -- 1 Introduction -- 2 Related Work -- 3 Problem Setting -- 4 The POSSTR Model -- 4.1 Direct-Trust -- 4.2 Witness-Reputation -- 4.3 Stereotype-Trust -- 4.4 Stereotype-Reputation -- 4.5 Subjective Opinions -- 5 Evaluation and Results -- 5.1 Full Observability and Objective Traits -- 5.2 Partially Observable Trustees -- 5.3 Private Trustees -- 5.4 Fewer Available Advisors -- 5.5 Increased Dynamism -- 5.6 Summary -- 6 Conclusion -- References -- Working Together: Committee Selection and the Supermodular Degree -- 1 Introduction -- 2 Preliminaries -- 2.1 Representation of Set Functions -- 2.2 Related Work -- 3 Our Contribution -- 4 The Model -- 4.1 The Joint Supermodular Degree -- 5 Applications -- 6 Preference Elicitation -- 7 Computational Results -- 7.1 General Results Using the Joint Supermodular Degree -- 7.2 Important Special Cases -- 8 Conclusions -- References -- On the Deployment of Factor Graph Elements to Operate Max-Sum in Dynamic Ambient Environments -- 1 Introduction. 2 Smart Environment Configuration -- 3 Optimal Deployment of Factor Graph Elements -- 3.1 Heuristic-Based Deployment for SECP -- 3.2 Dynamic SECP -- 4 Dynamics in the Infrastructure -- 4.1 Notion of Neighborhood -- 4.2 Adaptation to Device Arrival -- 4.3 Device Removal -- 5 Discussion on Other Dynamics -- 5.1 Changing SECP Elements -- 5.2 Changing Factors Following an Environmental Change -- 6 Experiments -- 6.1 Simulated Smart Home Scenario -- 6.2 Randomly Generated SECPs -- 7 Conclusions -- References -- Optimizing Peer Teaching to Enhance Team Performance -- 1 Introduction -- 2 Related Work -- 3 Peer Teaching Problem -- 4 Optimizing Peer Teaching -- 4.1 Additive Utility Function -- 4.2 Submodular Utility Function -- 5 Conclusion and Future Work -- References -- A Protocol for Mixed Autonomous and Human-Operated Vehicles at Intersections -- 1 Introduction -- 2 Background -- 2.1 Autonomous Intersection Management -- 2.2 FCFS+Signals -- 2.3 Experimental Results -- 3 Intersection Management Protocol for Mixed Traffic -- 3.1 Assumptions and Desiderata -- 3.2 Hybrid AIM -- 4 Reducing the Number of Green Trajectories -- 4.1 Turning Assignment Policy -- 5 Empirical Study -- 5.1 Modifications to the AIM Simulator -- 5.2 Four-Way Intersection -- 5.3 Three-Way Intersection -- 5.4 Conclusions -- 6 Summary -- References -- Evaluating Ad Hoc Teamwork Performance in Drop-In Player Challenges -- 1 Introduction -- 2 RoboCup Domain Description -- 3 Drop-In Player Challenge -- 4 Ad Hoc Teamwork Performance Metric -- 5 Ad Hoc Teamwork Performance Metric Evaluation -- 6 Normalized Ad Hoc Teamwork Performance Metric -- 7 Drop-In Player Game Prediction -- 8 Case Study: RoboCup 2015 Drop-In Player Challenge -- 9 Related Work -- 10 Conclusions -- References -- Convention Emergence in Partially Observable Topologies -- 1 Introduction -- 2 Related Work. 3 Placement Strategy -- 3.1 Partial Observability Algorithm -- 4 Experimental Setup -- 4.1 Networks -- 4.2 Experimental Setup -- 5 Results and Discussion -- 5.1 PO-Place Output -- 5.2 Convention Emergence Under Partial Observability -- 6 Conclusion -- References -- Reasoning About Opportunistic Propensity in Multi-agent Systems -- 1 Introduction -- 2 Framework -- 3 Value System and Rational Alternative -- 3.1 Value System -- 3.2 Rational Alternatives -- 4 Opportunism Propensity -- 5 Reasoning About Opportunistic Propensity -- 5.1 Having Opportunism -- 5.2 Not Having Opportunism -- 5.3 Computational Complexity -- 6 Related Work -- 7 Conclusion and Future Work -- References -- Approaching Interactions in Agent-Based Modelling with an Affordance Perspective -- 1 Introduction -- 2 Formulating Interactions -- 2.1 Interaction in AOSE -- 2.2 Interaction in Agent-Based Simulation -- 3 Notions and Usages of Affordances -- 3.1 The Concept of Affordance -- 3.2 Affordances in Agent-Based Simulation Modelling -- 3.3 Our Concept of Affordances -- 4 From Affordances to Interaction -- 4.1 Affordance and Affordance Schema -- 4.2 Processes Around Affordances -- 5 Illustrative Example: A Supermarket -- 5.1 Description of Interaction with Affordances -- 5.2 Description of Interaction with IODA or MAIA -- 6 Discussion and Conclusion -- References -- Towards a Fast Detection of Opponents in Repeated Stochastic Games -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Reinforcement Learning -- 3.2 Bayesian Policy Reuse -- 3.3 Games -- 3.4 Pepper -- 4 Bayes-Pepper -- 4.1 Policy and Models Generation -- 4.2 Opponent Detection Based on Rewards -- 4.3 Intra-game Belief Detection -- 5 Experiments -- 5.1 Setting -- 5.2 Opponent Detection -- 5.3 Switching Opponents -- 6 Discussion -- 7 Conclusions -- References. Event Calculus Agent Minds Applied to Diabetes Monitoring -- 1 Introduction -- 2 Background -- 2.1 Event Calculus -- 2.2 Cached Event Calculus and jREC -- 2.3 Red-Black Trees -- 3 System Overview -- 3.1 MAGPIE Agent Platform -- 3.2 Diabetes Monitoring Rules -- 3.3 Event Handling with jREC -- 4 Test Setup and Results -- 4.1 Testing Protocol -- 4.2 Results and Discussion -- 5 Related Work -- 6 Conclusions -- References -- Multiple-Profile Prediction-of-Use Games -- 1 Introduction -- 2 Background -- 2.1 Cooperative Games -- 2.2 Prediction-of-Use Games -- 2.3 Related Work -- 3 Multiple-Profile POU Games -- 4 Properties of MPOU Games -- 5 Incentives in MPOU Games -- 6 Manipulation in MPOU Games -- 7 Learning Utility Models -- 8 Experiments -- 8.1 Experimental Setup -- 8.2 Results -- 9 Conclusion -- References -- Author Index. EBL202104 XX SzGeCERN BOOK Rodriguez-Aguilar, Juan A https://cds.cern.ch/auth.py?r=EBLIB_P_6304906 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2761614 BOOK MIGRATED 2761606 SzGeCERN 20210421183932.0 9783319155852 electronic version electronic version 9783319155845 print version oai:cds.cern.ch:2761606 cerncds:BOOK EBL 6304256 eng QA297 .N864 2015 519.4 Dimov, Ivan Numerical methods and applications 8th international conference, NMA 2014, Borovets, Bulgaria, August 20-24, 2014, revised selected papers Cham Springer International Publishing AG 2015 312 p ebook Lecture notes in computer science 8962 Intro -- Preface -- Organization -- Contents -- Invited Papers -- A Note on Local Refinement for Direction Splitting Methods -- 1 Introduction -- 2 Grid Refinement with Direction Splitting -- 2.1 Direction Splitting Procedure -- 2.2 Difference Operators with Local Refinement -- 2.3 Solution of the Resulting Linear System -- 2.4 Direction Splitting for the Navier-Stokes Equations -- 2.5 Numerical Results -- 3 Conclusions -- References -- On Positivity Preservation in Some Finite Element Methods for the Heat Equation -- 1 Introduction -- 2 The Spatially Semidiscrete Methods -- 3 Positivity Preservation in the Spatially Semidiscrete Methods -- 4 Fully Discrete Methods -- 5 A Numerical Example -- References -- Monte Carlo and Quasi-Monte Carlo Methods -- Optimized Particle Regeneration Scheme for the Wigner Monte Carlo Method -- 1 Introduction -- 2 Particle Regeneration Schemes -- 3 Conclusion -- References -- Sensitivity Analysis of Design Parameters for Silicon Diodes -- 1 Introduction -- 2 Approaches and Tools -- 3 Analysis of Numerical Results and Discussion -- 4 Conclusions and Future Plans -- References -- Balancing of Systematic and Stochastic Errors in Monte Carlo Algorithms for Integral Equations -- 1 Introduction -- 2 Monte Carlo Algorithms -- 2.1 Monte Carlo Method for Integral Equations -- 2.2 A Probabilistic Error Estimate -- 2.3 A Systematic Error Estimate -- 3 Balancing of the Errors -- 3.1 Error Balancing Conditions -- 4 Numerical Examples and Results -- 4.1 Example 1 -- 4.2 Example 2 -- 5 Conclusion -- References -- Metaheuristics for Optimization Problems -- Slot Machines RTP Optimization with Genetic Algorithms -- 1 Introduction -- 2 Slot Machine Reels -- 3 Genetic Alghorithms -- 4 The Model Proposed -- 5 Experiments and Results -- 6 Conclusions -- References -- Hierarchical Topology in Parallel Differential Evolution. 1 Introduction -- 2 Differential Evolution -- 3 Parallel Differential Evolution -- 3.1 Hierarchical Approach -- 4 Proposed Hierarchical Algorithm -- 5 Experiments -- 6 Results -- 7 Conclusion -- References -- On Meme Self-Adaptation in Spatially-Structured Multimemetic Algorithms -- 1 Introduction -- 2 Multimemetic Approach -- 2.1 Meme Representation and Self-Adaptation -- 2.2 Spatial Structure -- 3 Experimental Analysis -- 3.1 Benchmark and Settings -- 3.2 Experimental Results -- 4 Conclusions -- References -- An Ant Algorithm for the Partition Graph Coloring Problem -- 1 Introduction -- 2 Definition of the Partition Graph Coloring Problem -- 3 The ACO Algorithm -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- Multi-exchange Neighborhoods for the Capacitated Ring Tree Problem -- 1 Introduction -- 2 The Capacitated Ring Tree Problem -- 3 Neighborhood Structures -- 4 A Multi-start Local Search Heuristic -- 5 Conclusions -- References -- Hebbian Versus Gradient Training of ESN Actors in Closed-Loop ACD -- 1 Introduction -- 2 Problem Formulation -- 2.1 ACD Approach with Closed-Loop Control -- 2.2 ESN Description -- 2.3 Gradient Training of ESN Actor -- 2.4 Associative Training of ESN Actor -- 3 Simulation Experiment Description -- 3.1 PHB Production Process -- 3.2 Optimization Task for PHB Production -- 4 Results and Discussion -- 5 Conclusions -- References -- Free Search in Multidimensional Space II -- Abstract -- 1 Introduction -- 2 Test Problems -- 2.1 Schwefel Test -- 2.2 Michalewicz Test Function -- 2.3 Norwegian Test Function -- 3 Optimization Methods -- 3.1 Free Search -- 3.2 Differential Evolution -- 3.3 Particle Swarm Optimisation -- 4 Experimental Methodology -- 5 Experimental Results -- 6 Discussion -- 7 Conclusion -- Acknowledgements -- References -- A Semi-numerical Approach to Radiation Boundary Conditions. 1 Introduction -- 2 The Approach -- 2.1 Construction of the Generalized Impedance Boundary Conditions -- 2.2 Semi-analytical Generalized Impedance Boundary Conditions -- 3 Model Verification Examples -- 4 Conclusion -- References -- Advanced Numerical Methods for Scientific Computing -- Spectral Analysis of Geometric Multigrid Methods for Isogeometric Analysis -- 1 Introduction -- 2 Geometric Multigrid for Isogeometric Analysis -- 3 Local Fourier Analysis -- 4 Numerical Spectral Analysis -- 5 Conclusions -- References -- Numerical Homogenization of Epoxy-Clay Composite Materials -- 1 Introduction -- 2 Problem Formulation -- 3 Homogenization Technique -- 4 Principal Directions of Anisotropy -- 5 Numerical Experiments -- 5.1 Comparison with GeoDict -- 5.2 Discussion -- References -- Isogeometric Analysis for Nonlinear Dynamics of Timoshenko Beams -- 1 Introduction -- 2 Isogeometric Analysis -- 3 An Isogeometric Formulation of Timoshenko Beams -- 4 Results -- 5 Conclusion -- References -- Advanced Numerical Techniques for PDEs and Applications -- Deterministic Solution of the Discrete Wigner Equation -- 1 Introduction -- 2 Solution Approach -- 3 Numerical Aspects of the Method -- 4 Application to a Wave Packet -- 5 Conclusion and Outlook -- References -- Explicit-Implicit Splitting Schemes for Parabolic Equations and Systems -- 1 Introduction -- 2 Spatial Approximation -- 3 Approximation in Time -- 4 Comparison of Numerical Results -- References -- Solving Large Engineering and Scientific Problems with Advanced Mathematical Models -- Solving Two-Point Boundary Value Problems for Integro-Differential Equations Using the Simple Shooting-Projection Method -- 1 Introduction -- 2 Simple Shooting-Projection Method for TPBVPs of Ordinary IDEs -- 3 Numerical Examples -- 4 Conclusion -- References. HPC Simulations of the Fine Particulate Matter Climate of Bulgaria -- 1 Introduction -- 2 Methodology -- 3 Results, Comments, and Discussion -- 3.1 PM2.5 Concentrations -- 3.2 Contribution of Different Emission Categories to PM2.5 Concentrations -- 3.3 Contribution of Different Processes to PM2.5 Hourly Concentration Change -- 4 Conclusions -- References -- Tall RC Buildings Environmentally Degradated and Strengthened by Cables Under Multiple Earthquakes: A Numerical Approach -- 1 Introduction -- 2 Method of Analysis -- 2.1 Formulation of the Problem -- 2.2 Numerical Treatment for Multiple Earthquakes -- 2.3 Damage Response Parameters Used for Assessment and Comparison -- 3 Numerical Example -- 3.1 Description of the Considered RC Structure -- 3.2 Representative Results -- 3.3 Multiple Earthquakes Input -- 4 Conclusions -- References -- Multi-scale Computational Framework for Evaluating of the Performance of Molecular Based Flash Cells -- 1 Introduction -- 2 Concept and Flash Cell Design -- 3 Methodology -- 4 Flash Cell Performance -- 5 Conclusions -- References -- Numerical Simulations and Back Analysis in Civil and Mechanical Engineering -- Parameter Identification of a Rate Dependent Constitutive Model for Rock Salt -- 1 Introduction -- 2 Mechanical Behavior of Rock Salt -- 3 Parameter Identification Algorithm -- 3.1 Metamodeling Technique -- 4 Numerical Example -- 4.1 Metamodel Construction -- 4.2 Results and Discussion -- 5 Conclusion -- References -- Constitutive Parameter Adjustment for Mechanized Tunneling with Reference to Sub-system Effects -- 1 Introduction -- 2 Methodology -- 2.1 Numerical Simulation of Mechanized Tunneling -- 2.2 Sensitivity and Back Analyses -- 3 Results -- 4 Conclusions -- References -- Modeling of Textiles as Nets of One-Dimensional Hyperelastic Strings with Friction Controlled by Capstan Equation -- 1 Introduction. 2 Problem Statement -- 2.1 Description of Textile Geometry Model -- 2.2 Description of Hyperelasticity Model -- 2.3 Description of Friction Model -- 2.4 Description of Aggregate Model -- 3 Properties of the Model and Numerical Algorithm -- 4 Numerical Examples -- References -- Contributed Papers -- Numerical Simulation of Drop Coalescence in the Presence of Inter-Phase Mass Transfer -- 1 Introduction -- 2 Mathematical Formulation -- 3 Transformed Equations -- 4 Numerical Method -- 5 Results and Discussion -- 6 Conclusions -- References -- Wavelet Compression of Spline Coefficients -- 1 Introduction -- 2 The Wavelet Transform -- 3 Splines -- 3.1 B-Splines -- 3.2 The GERBS Blending Construction -- 3.3 GERBS-Type Basis Functions -- 4 Compressing Spline Coefficients -- 5 Results -- 6 Concluding Remarks -- References -- Target Localization by UWB Signals -- 1 Introduction -- 2 Problem Formulation -- 3 Method Description -- 3.1 Newton's Method with Approximate Hesse Matrix and Gradient -- 3.2 TOA Calculation -- 3.3 Choice of the Initial Point X[0] -- 4 Simulation Results -- 5 Conclusion -- References -- Performance of a Wavelet Shrinking Method -- 1 Introduction -- 2 Curve Fitting by Wavelet Shrinkage -- 2.1 Coefficient Selection -- 2.2 Wavelet Compression -- 3 Wavelet Shrinkage Applied to a Partitioned Signal -- 4 Results -- 5 Concluding Remarks -- 5.1 Future Work -- References -- Two-Grid Decoupled Method for a Black-Scholes Increased Market Volatility Model -- 1 Introduction -- 2 The Numerical Method -- 3 Two-Grid Decoupling Algorithms -- 4 Numerical Examples -- 5 Conclusions -- References -- The Effect of a Postprocessing Procedure to Upper Bounds of the Eigenvalues -- 1 Introduction -- 2 Finite Element Method -- 3 Main Results -- 4 Numerical Results -- References -- On a Type of Nonconforming Morley Rectangular Finite Element -- 1 Introduction. 2 Main Results. EBL202104 XX SzGeCERN BOOK Fidanova, Stefka Lirkov, Ivan https://cds.cern.ch/auth.py?r=EBLIB_P_6304256 ebook n 202114 21 PUBLIC https://catalogue.library.cern/legacy/2761606 BOOK MIGRATED 2761539 SzGeCERN 20210421183935.0 9789811308932 electronic version electronic version 9789811308925 print version oai:cds.cern.ch:2761539 cerncds:BOOK EBL 6303956 eng Q334 .G467 2018 006.3 Yuan, Hanning Geo-spatial knowledge and intelligence 5th international conference, GSKI 2017, Chiang Mai, Thailand, December 8-10, 2017, revised selected papers, part I Singapore Springer Singapore Pte Limited 2018 708 p ebook Communications in computer and information science 848 Intro -- Preface of GSKI 2017 -- 5th Annual 2017 International Conference on Geo-Spatial Knowledge and Intelligence [GSKI 2017] http://www.GSKI2017.org/ December 8-10, 2017, Chiang Mai, Thailand -- Organization -- Keynote Speakers of GSKI 2017 -- Geospatial Data Science and Knowledge Discovery in Environmental Health Research -- Spatial Data Mining: Theory and Application -- The Development of Geomatics Systems Based on Government Policy for Driving Thailand 4.0 -- Smart Knowledge-Based Remote Sensing Analysis -- Segmentation Scale Selection in Geographic Object-Based Image Analysis (GEOBIA) -- Contents - Part I -- Contents - Part II -- Smart City in Resource Management and Sustainable Ecosystem -- The Research on 3D Modelling and Visualization of the Quaternary in Tongzhou Area, Beijing -- Abstract -- 1 Introduction -- 2 Status of 3D Modeling -- 3 Overview of Geology -- 4 3D Modeling -- 4.1 Processing of Basic Data -- 4.2 3D Modeling of Quaternary Formation -- 5 3D Visual Display -- 5.1 Construction of 3D Scene -- 5.2 3D Visualization -- 6 Conclusions -- Acknowledgments -- References -- The Snow Disaster Risk Assessment of Township Population-Livestock in Guoluo State of Qinghai Province -- Abstract -- 1 Introduction -- 1.1 Overview of the Study Area -- 2 Materials and Methods -- 2.1 Data -- 2.2 Methods -- 3 Result -- 4 Application of Snow Disaster Risk Assessment -- 5 Summary -- Acknowledgments -- References -- Spatial Autocorrelation of Urban Economic Growth in Shandong Province, China by Using Time-Series Data of Per Capita GDP -- Abstract -- 1 Introduction -- 2 Methodology -- 3 Data Analysis -- 3.1 Overview of Urban Economics in Shandong -- 3.2 Global Moran's I -- 4 Conclusion -- Acknowledgements -- References -- Using Local Moran's I Statistics to Estimate Spatial Autocorrelation of Urban Economic Growth in Shandong Province, China. Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Datasets -- 2.2 Moran's I -- 3 Local Moran's I Statistics -- 4 Conclusion -- Acknowledgements -- References -- MIC for Analyzing Attributes Associated with Thai Agricultural Products -- Abstract -- 1 Introduction -- 2 Related Work -- 3 MIC Methodology -- 3.1 The MIC Characteristic -- 3.2 The Utility of Maximization and Normalization Based on the Definition of MIC -- 4 Conclusion and Future Work -- Acknowledgments -- References -- Historical Development of Corporate Social Responsibility Concept in Kazakhstan -- Abstract -- 1 Introduction -- 2 Contextual Considerations -- 2.1 Political System -- 2.2 Social-Cultural Environment -- 2.3 Economical and Strategy System -- 3 Historical Development of CSR -- 4 Conclusion and Recommendation -- References -- Information Security in the Smart Grid: Survey and Challenges -- Abstract -- 1 Introduction -- 2 Differences Between Smart Grid and Internet -- 3 Security Objectives and Attack Classification of Smart Grid -- 3.1 Security Objectives of Smart Grid -- 3.2 Classification of Smart Grid Security Issues -- 4 Security at Software Level -- 4.1 Attacks at Software Level -- 4.2 Defenses at Software Level -- 4.3 Threats from Quantum Computer -- 5 Security at Hardware Level -- 5.1 Attacks at Hardware Level -- 5.2 Defenses at Hardware Level -- 5.3 Hardware Implementation of Post-quantum Cryptography -- 6 Summary and Future Work -- References -- A Power Grid GIS Cloud Framework Based on Docker and OpenStack -- Abstract -- 1 Introduction -- 2 GIS Based Grid Power Platform -- 3 Docker Container -- 4 Integration of Docker and OpenStack -- 5 Power Grid GIS Containerization Management Framework -- 6 Simulated Analysis and Application -- 7 Summary -- Acknowledgement -- References. A Factor Analysis-Based Detection Approach to Network Traffic Anomalies for Power Telecommunication Access Networks -- Abstract -- 1 Introduction -- 2 Problem Statement -- 3 Simulation Result and Analysis -- 4 Conclusions -- References -- Semi-formal Verification with Supporting Tool by Automatic Application of Hoare Logic -- Abstract -- 1 Introduction -- 2 Preliminaries -- 2.1 Hoare Logic -- 2.1.1 The Axiom for Assignment -- 2.1.2 The Axiom for Non-change Statement -- 2.2 Testing-Based Formal Verification -- 2.2.1 Derivation of Traversed Paths -- 2.2.2 Application of Hoare Logic -- 2.2.3 Evaluation Result -- 3 The Supporting Tool -- 4 Case Study -- 5 Conclusion -- 6 Future Work -- Acknowledgments -- References -- A Fault Detection Device for Wind Power Generator Based on Wireless Transmission -- Abstract -- 1 Introduction -- 2 Overall Design of the Detection Device -- 3 Lower Computer Design -- 3.1 Analog Acquisition Module -- 3.2 Enhanced Quadrature Decoder Pulse Module -- 3.3 Serial Communication Interface Module -- 3.4 Wireless Detection Module -- 4 Host Computer Design -- 4.1 Test System Control Flow Design -- 4.2 Lab VIEW Software System -- 4.3 MCGS Software System -- 5 System Debugging Operation and Data Analysis -- 6 Conclusion -- Acknowledgment -- References -- Multi-users Cooperation in Spectrum Sensing Based on HMM Model for Cognitive Radios -- Abstract -- 1 Introduction -- 2 Multi Users Collaborative Spectrum Sensing Algorithm Based on HMM Model -- 2.1 HMM Model -- 2.2 Multi-users Collaborative Sensing Technology -- 2.2.1 Centralized Collaborative Sensing -- 2.2.2 "K Order" Judgement -- 2.3 Multi-users Collaborative Spectrum Sensing Algorithm Based on HMM Predicted Model -- 3 Experimental Results Analysis -- 4 Conclusions -- Acknowledgments -- References -- A VoLTE Encryption Experiment for Android Smartphones -- Abstract. 1 Introduction -- 2 Study Background and Related Work -- 2.1 VoLTE Protocol Communication Process -- 2.2 IMS Framework in the Android System -- 3 Platform Baseband Code Update -- 3.1 Environment Building and Initialization -- 3.2 Baseband Code Modification Scheme -- 3.3 Capture and Analysis RTP Packet -- 4 Voice Data Encryption Scheme -- 4.1 Encryption and Decryption Process -- 4.2 Key Structure -- 4.3 RC4 Encryption Algorithm Improvement -- 5 Discussion -- 5.1 Key Negotiation Process -- 5.2 Voice Packet Encryption and Decryption -- 6 Conclusion -- References -- A Novel Differential Dipoles Frequency Reconfigurable Antenna -- Abstract -- 1 Introduction -- 1.1 Input Impedance of Differential Antenna -- 1.2 Odd and Even Mode Excitation of Two Port Networks -- 2 Antenna Design -- 3 Simulation and Measured Results -- 4 Study of the Frequency Reconfigurable Characteristic -- 5 Conclusion -- Acknowledgments -- References -- Classification of Network Game Traffic Using Machine Learning -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Data Acquiring and Filtering of Game Flow -- 4 Flow Feature Selection -- 4.1 Pearson Correlation Coefficient (PCC) -- 4.2 Information Gain Ratio (IGR) -- 4.3 Correlation Coefficients -- 5 Experimental Results -- 5.1 Support Vector Machine -- 5.2 Experimental Results -- 6 Conclusion -- Acknowledgments -- References -- How to Insure Reliability and Delay in Multi-controller Deployment -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Formulation -- 4 Algorithm -- 5 Evaluation -- 6 Conclusion -- Acknowledgments -- References -- Interference-Avoid-Concept Based Indoor VLC Network Throughput Optimization -- Abstract -- 1 Introduction -- 2 Link Character and Problem Formulation -- 3 Resource Scheduling Based on Interference-Avoiding Concept -- 3.1 Interferences Description in Graph Theory. 3.2 Interference-Avoiding Scheduling Under PFS Principle -- 3.3 Proposed Three-Term Priority Model -- 4 Simulations and Analysis -- 5 Conclusions -- Acknowledgments -- References -- A Comparative Acoustic Analysis of Mongolian Long Tunes of Pastoral and Hymn -- Abstract -- 1 Introduction -- 2 Experimental Method -- 2.1 Introduce Singers and Audio Materials -- 2.2 Recording Equipment -- 3 Acoustic Analyses -- 3.1 Energy Analysis -- 3.2 Pitch Analysis -- 4 Conclusions -- Acknowledgments -- References -- RSSI Based Localization with Mobile Anchor for Wireless Sensor Networks -- Abstract -- 1 Introduction -- 2 Related Works -- 3 System Model -- 3.1 Assumption -- 3.2 Polynomial Model of RSSI Values -- 3.3 Filtering of RSSI Values -- 3.4 Maximum RSSI Based Localization -- 4 Description of Algorithm -- 5 Simulation and Analysis -- 5.1 Simulation Parameters -- 5.2 Simulation Results and Analysis -- 6 Conclusion and Prospects -- Acknowledgments -- References -- Mobile Device Selection Based on Doppler Shift with High Resolution -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Doppler Effect and Cross Ambiguity Function -- 3.1 Doppler Effect -- 3.2 Cross Ambiguity Function -- 4 Implementation of CAF-DS -- 4.1 Design of Source Device -- 4.2 Receiver Device -- 4.3 Cross Ambiguity Function Computation -- 5 Performance Evaluation -- 5.1 Simulation Setup -- 5.2 Simulation Results -- 6 Conclusions -- Acknowledgments -- References -- The Double-Coverage Algorithm for Mobile Node Deployment in Underwater Sensor Network -- Abstract -- 1 Introduction -- 2 Network Architecture and Model Building -- 2.1 Network Architecture -- 2.2 Modeling and Analysis of Node Deployment -- 2.2.1 Node Sensing Model -- 2.2.2 Nodes Mesh Model -- 2.2.3 Mobile Node Deployment Model -- 2.2.4 Mobility Model -- 2.2.4 Mobility Model. 3 The 2-Coverage Algorithm Based on Mobile Node Deployment. EBL202104 XX SzGeCERN BOOK Geng, Jing Liu, Chuanlu Bian, Fuling Surapunt, Tisinee https://cds.cern.ch/auth.py?r=EBLIB_P_6303956 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2761539 BOOK MIGRATED 2761526 SzGeCERN 20210421183936.0 9783319168685 electronic version electronic version 9783319168678 print version oai:cds.cern.ch:2761526 cerncds:BOOK EBL 6303922 eng TK5105.525 .S335 2015 004.65 Jung, Jason J Scalable information systems 5th international conference, INFOSCALE 2014, Seoul, South Korea, September 25-26, 2014, revised selected papers Cham Springer International Publishing AG 2015 113 p ebook Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 139 Intro -- Preface -- Organization -- Contents -- Scalable Data Analytics -- Scalable Similarity Search for Big Data -- 1 The Big Data Problem -- 2 Similarity Searching -- 3 Challenges and Research Objectives -- 3.1 Processing Raw Data for Object Findability -- 3.2 Hybrid Similarity Search Index Structures -- 4 Conclusions -- References -- Content-Based Analytics of Diffusion on Social Big Data: A Case Study on Korean Telecommunication Companies -- Abstract -- 1 Introduction -- 2 Theoretical Background -- 2.1 Understanding Twitter -- 2.2 Previous Research of Twitter Usage by Business -- 2.3 The Diffusion of Innovations Theory -- 3 Research Model and Hypotheses -- 4 Research Methodology -- 4.1 Data Collection -- 4.2 Measure -- 4.2.1 Dependent Variables: Information Diffusion -- 4.2.2 Independent Variables: Information Contents -- 4.3 Types of Information in Firm's Twitter Messages -- 4.4 Analysis and Results -- 4.4.1 The Description of Information Contents -- 4.5 The Impact of Information Contents on Diffusion -- 5 Conclusions -- Acknowledgement -- References -- Multi-modal Similarity Retrieval with a Shared Distributed Data Store -- 1 Introduction and Motivation -- 2 Similarity Retrieval on Big Data -- 2.1 Distance-Based Similarity Search -- 2.2 Generic Architecture for Big Data Similarity Retrieval -- 2.3 Search and Update Queries -- 2.4 PPP-Codes Similarity Index -- 3 Specific System: Large-Scale Image Management -- 4 Conclusions -- References -- An Efficient Approach for Complex Data Summarization Using Multiview Clustering -- 1 Introduction -- 2 Related Works -- 3 Multiview Clustering -- 3.1 Theoretical Background -- 3.2 Network Traffic as Complex Data -- 4 Proposed Multiview Clustering Based Network Traffic Summary -- 4.1 Sampling Methods -- 4.2 Sample Size Calculation -- 4.3 Multiview Clustering Based Network Traffic Summarization. 4.4 New Summarization Metric: Adaptability -- 5 Experimental Analysis -- 5.1 Summarization Metrics -- 5.2 Discussion on Experimental Results -- 6 Conclusion -- References -- Big Data Applications -- A Novel Approach for Network Traffic Summarization -- 1 Introduction -- 2 Related Works and Problem Statement -- 2.1 Centroid Based Summarization (CBD) -- 2.2 Feature-Wise Intersection Based Summarization (FIBS) -- 3 Proposed Approach -- 3.1 Definition of a Summary for Network Traffic -- 3.2 NTS(Network Traffic Summarization) Algorithm -- 4 Evaluation Results -- 4.1 Summarization Metrics -- 4.2 Experimental Results -- 5 Conclusion -- References -- Heart Disease Diagnosis Using Co-clustering -- 1 Introduction -- 2 Anomaly Detection Techniques and Related Works -- 3 Co-clustering -- 3.1 Block Co-clustering -- 3.2 Information Theoretic Co-clustering -- 4 Experimental Analysis -- 4.1 Heart Disease Dataset -- 4.2 Result Analysis -- 5 Conclusion -- References -- An Investigation of Scalable Anomaly Detection Techniques for a Large Network of Wi-Fi Hotspots -- Abstract -- 1 Introduction -- 1.1 Related Work -- 2 Algorithms -- 3 The Research Design -- 3.1 The Wi-Fi Network -- 3.2 Network Performance Monitoring -- 3.3 Performance Evaluation Techniques -- 3.4 Test Cases -- 4 Results and Discussions -- 4.1 True Positive Rate Performance -- 4.2 False Positive Rate Performance -- 4.3 F-Measure Performance -- 4.4 Kappa Statistic Performance -- 5 Conclusions -- References -- Link Scheduling for Data Collection in Multichannel Wireless Sensor Networks -- 1 Introduction -- 2 Network Models -- 3 The Proposed Scheme -- 3.1 The Slot Assignment Phase -- 3.2 The Channel Assignment Phase -- 3.3 Time Complexity Analysis -- 4 Simulation Results -- 5 Conclusions -- References -- A Design of Sensor Data Ontology for a Large Scale Crop Growth Environment System -- Abstract. 1 Introduction -- 2 Related Work -- 2.1 Environmental Sensor Networks -- 2.2 Ontology Based Sensor Networks -- 3 A Design of Sensor Data Ontology -- 3.1 Architecture of Crop Growth Environment System -- 3.2 Establishment of Sensor Data Ontology -- 4 A Design of Inference Rules Using Sensor Data Ontology -- 5 Conclusion -- Acknowledgments -- References -- Real-Time Data Flow Language Processing System for Handling Streams of Data -- Abstract -- 1 Introduction -- 2 Related Works -- 2.1 Apache Pig -- 2.2 Existing Distributed Stream Data Processing Systems -- 3 Real-Time Dataflow Language Processing System -- 3.1 Distributed Stream Processing Platform (LAMA-SP) -- 3.2 Architecture of LAMA-CEP -- 3.3 Pig Latin Stream -- 3.4 Compilation of Distributed Stream Processing Service -- 4 Implementation -- 5 Conclusion -- Acknowledgments -- References -- Author Index. EBL202104 XX SzGeCERN BOOK Badica, Costin Kiss, Attila https://cds.cern.ch/auth.py?r=EBLIB_P_6303922 ebook n 202114 21 PUBLIC https://catalogue.library.cern/legacy/2761526 BOOK MIGRATED 2761505 SzGeCERN 20210421183937.0 9783319744971 electronic version electronic version 9783319744964 print version oai:cds.cern.ch:2761505 cerncds:BOOK EBL 6303794 eng Z286.E43 .S996 2018 025.04 Szymański, Julian Semantic keyword-based search on structured data sources third international keystone conference, IKC 2017, Gdańsk, Poland, September 11-12, 2017, revised selected papers and cost action IC1302 reports Cham Springer International Publishing AG 2018 273 p ebook Lecture notes in computer science 10546 Intro -- Preface -- Organization -- Contents -- Proceedings of the KEYSTONE Conference 2017 -- Formalization and Visualization of the Narrative for Museum Guides -- 1 Introduction -- 2 The Value of the Narration -- 3 The Narrative -- 4 Segment Typology and Visualization -- 5 UML Representation and XML Specification -- 6 Lessons Learned and the Way Forward -- 7 Conclusions -- References -- Data Reduction Techniques Applied on Automatic Identification System Data -- 1 Introduction -- 2 AIS Data Pre-processing -- 3 AIS Data Reduction -- 4 Results -- 4.1 Data Reduction Applied on AIS Data Set -- 4.2 Data Visualization -- 5 Conclusions -- References -- FIRE: Finding Important News REports -- 1 Introduction -- 2 Related Work -- 3 Design -- 3.1 Overall System Design -- 3.2 Sampling and Vectorization -- 3.3 Nutrition and Clustering -- 3.4 Spam Removal and Topic Detection -- 4 Implementation -- 5 Results and Evaluation -- 5.1 Evaluation of the Clustering Component -- 5.2 Evaluation of the Topic Detection Component -- 5.3 Evaluation of the Topic Judgement Component -- 6 Conclusions and Future Work -- References -- Analysing and Visualising Parliamentary Questions: A Linked Data Approach -- 1 Introduction -- 2 Related Work -- 3 PQs in the Maltese Parliament -- 4 PQViz: Linking Parliamentary Questions -- 4.1 Harvesting Parliamentary Data -- 4.2 Linked Data Model -- 5 PQViz: Interaction Graph -- 6 Future Work -- References -- Keyword Extraction from Parallel Abstracts of Scientific Publications -- 1 Introduction -- 2 Methodology -- 2.1 The SBKE Method -- 2.2 Text Preprocessing Tools -- 2.3 Evaluation Methodology -- 3 Textual Resources -- 4 Results -- 5 Conclusion -- References -- Methodology of Selecting the Hadoop Ecosystem Configuration in Order to Improve the Performance of a Plagiarism Detection System -- 1 Introduction -- 2 State of Art. 3 Details of Our System -- 4 Problem Statement -- 5 Proposed Solutions -- 5.1 HDFS Approaches -- 5.2 HBase Approach -- 6 Experiments -- 6.1 Planned Tests -- 6.2 Dataset -- 6.3 Test Environment -- 6.4 Results -- 7 Conclusion -- References -- Assessing Word Difficulty for Quiz-Like Game -- 1 Introduction -- 2 Defining Word Difficulty and Related Work -- 3 Our Approach -- 3.1 Naive Approach -- 3.2 Adding Word Length -- 3.3 The Final Approach -- 4 Evaluation -- 5 Conclusion and Future Work -- References -- From Deep Learning to Deep University: Cognitive Development of Intelligent Systems -- Abstract -- 1 Introduction -- 2 Education for Everything: Universities for Cognitive Systems -- 2.1 Growing Fully Developed Cognitive Systems -- 2.2 Implementation of Developing Cognitive Architectures -- 2.3 Learning from Collective Creativity -- 3 Conclusions and Future Work -- Acknowledgements -- References -- From a Web Services Catalog to a Linked Ecosystem of Services -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Heterogeneous Multigraph of the Programmable Web -- 3.1 Multigraph Overview -- 3.2 Similarity Relationships -- 4 MultiGraph Based Recommendation Approach -- 4.1 Web Services Discovery -- 4.2 Web Services/Mashups Recommendation -- 5 Experimental Results -- 5.1 Implementation -- 5.2 Experimental Evaluation -- 6 Conclusion -- References -- Towards Keyword-Based Search over Environmental Data Sources -- 1 Introduction -- 2 Problem Statement -- 2.1 Environmental Data Sources -- 2.2 Description of the Search Problem -- 3 Related Work -- 4 Prototype Description -- 5 Performance Evaluation -- 6 Conclusions and Future Work -- References -- Collaboration Networks Analysis: Combining Structural and Keyword-Based Approaches -- 1 Introduction -- 2 Research Methodology -- 2.1 Network Types -- 2.2 Network Measures. 2.3 Method for Analysing Collaboration Networks -- 3 Case Study: STSM Networks -- 3.1 KEYSTONE-STSM Dataset and Networks Construction -- 3.2 Results -- 4 Conclusion and Discussion -- References -- Exploration of Web Search Results Based on the Formal Concept Analysis -- 1 Introduction -- 2 Related Work and Motivation -- 3 Generalized One-Sided Concept Lattices -- 4 Our Tool for FCA-Based Exploration of Search Results -- 5 Experiments -- 6 Conclusions -- References -- Challenges in Applying Machine Learning Methods: Studying Political Interactions on Social Networks -- Abstract -- 1 Introduction -- 2 Studying Political Behavior with ML Methods -- 3 Challenges in Classifying Relevance of Political Comments While Using Supervised ML Techniques -- References -- Wikidata and DBpedia: A Comparative Study -- 1 Introduction -- 2 Overview and Evolution -- 3 Data Quality Analysis -- 3.1 Intrinsic Category -- 3.2 Contextual Category -- 3.3 Representation Category -- 3.4 Accessibility -- 4 Related Work -- 5 Conclusions and Future Work -- References -- Multi-Lingual LSA with Serbian and Croatian: An Investigative Case Study -- 1 Introduction -- 2 Background -- 2.1 Methods of Multi-Lingual Information Retrieval -- 2.2 Latent Semantic Analysis (LSA) -- 2.3 Multi-Lingual Latent Semantic Analysis -- 3 Experiment -- 3.1 Dataset Used -- 3.2 Method -- 4 Results -- 5 Discussion -- 6 Conclusion and Future Work -- References -- Item-Based Vs User-Based Collaborative Recommendation Predictions -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Collaborative Recommendation Algorithms -- 3.2 Incorporation of Content-Type Information -- 4 Evaluation -- 5 Conclusions and Future Work -- References -- An Integrated Smart City Platform -- 1 Introduction -- 2 Related Work -- 3 The Data Value Chain -- 4 Conclusions and Future Work -- References. Accessing the Deep Web with Keywords: A Foundational Approach -- 1 Introduction -- 2 Preliminaries -- 3 The Complexity of Querying Under Access Limitations -- 4 Discussion -- References -- The KEYSTONE COST Action -- The KEYSTONE IC1302 COST Action -- 1 The Action in a Nutshell -- 2 The KEYSTONE People -- 3 The KEYSTONE Activities -- 3.1 Meetings -- 3.2 Short-Term Scientific Missions and Training Schools -- 3.3 Dissemination and Scientific Results -- 4 Conclusions -- References -- KEYSTONE WG1: Activities and Results Overview on Representation of Structured Data Sources -- 1 Introduction -- 2 Generation of Structured Data (WG1.A) -- 2.1 From Unstructured or Semi-structured Data Sources -- 2.2 From Human Users in a Collaborative Way -- 2.3 From Sensors and IoT Devices -- 2.4 From Other Structured Data Sources -- 2.5 Methodologies, Standards and Good Practices to Publish and Consume Structured Data -- 3 Storing and Indexing of Structured Data (WG1.B) -- 4 Characterization, Integration and Federation of Data Sources (WG1.C) -- 5 Selection and Retrieval of Data Sources (WG1.D) -- 6 Composition of Working Group 1 -- 7 Researchers Contributing to This Survey -- References -- KEYSTONE WG2: Activities and Results Overview on Keyword Search -- 1 WG2 - Keyword Search - Objectives -- 2 Dissemination and Communication Activities -- 3 Selected Publications Related to the WG2 Objectives -- 3.1 Data Preprocessing and Indexing -- 3.2 Query Understanding and Interpretation -- 3.3 Federated Search -- 3.4 Retrieval Models and Ranking -- 3.5 Integration and Fusion of Search Results -- 4 Future Research Directions -- References -- KEYSTONE WG3: Activities and Results Overview on User Interaction -- 1 WG3 Objectives -- 2 Review of Selected Papers -- 2.1 Improving Document Retrieval in Large Domain Specific Textual Databases Using Lexical Resources. 2.2 Selectivity-Based Keyword Extraction Method -- 2.3 Uncertainty Detection in Natural Language -- 2.4 Disambiguation of User Sentiment -- 2.5 Collective Intelligence for Exploratory Keyword Search -- 2.6 Exploiting Linguistic Analysis on URLs for Recommending Web Pages: A Comparative Study -- 2.7 Semantic Description of Liver Computerized Tomography Images -- 2.8 Keyword-Based Search of Workflow Fragments and Their Composition -- 2.9 Discovery and Recommendation of Web Services -- 3 Conclusion -- References -- KEYSTONE Activities and Results Overview on Training Schools -- 1 Introduction -- 2 Lectures -- 2.1 Linked Data -- 2.2 Information Retrieval -- 2.3 Natural Language Processing -- 2.4 Big Data and Big Linked Data -- 2.5 Semantic Keyword-Based Search over Structured Data Sources -- 2.6 Industrial Talks -- 3 Hackathon -- 4 Conclusion -- References -- KEYSTONE Activities and Results Overview on Enabling Mobility &amp -- Fostering Collaborations Through STSM -- Abstract -- 1 Introduction - COST Short Term Scientific Missions (STSMs) -- 2 Keystone STSM Activities in Figures -- 3 Overview of Keystone STSMs -- 3.1 Main Themes and Topics -- 3.2 Summaries of Keystone STSMs -- References -- Author Index. EBL202104 XX SzGeCERN BOOK Velegrakis, Yannis https://cds.cern.ch/auth.py?r=EBLIB_P_6303794 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2761505 BOOK MIGRATED 2761498 SzGeCERN 20210421183937.0 9783319138206 electronic version electronic version 9783319138190 print version oai:cds.cern.ch:2761498 cerncds:BOOK EBL 6303765 eng QA76.9.D343 .S656 2014 006.312 Srinivasa, Srinath Big data analytics third international conference, BDA 2014, New Delhi, India, December 20-23, 2014 proceedings Cham Springer International Publishing AG 2014 207 p ebook Lecture notes in computer science 8883 Intro -- Preface -- Organization -- Table of Contents -- A Framework to Improve Reuse in Weather-Based Decision Support Systems -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 4 Case Study -- 5 Summary and Conclusion -- References -- Suitability of Data Models for Electronic Health Records Database -- 1 Introduction -- 2 Electronic Health Records (EHRs) -- 2.1 Non - Standardized EHRs -- 2.2 Standardized EHRs -- 3 Data Models for EHRs Database -- 3.1 Entity Attribute Value Model -- 3.2 Dynamic Tables -- 3.3 OEAV Model -- 3.4 Optimized Column Oriented Model -- 4 Experimental Details -- 4.1 Data Preparation -- 4.2 Experiment Requirements -- 4.3 Modeling EHRs Database -- 4.4 Performance Analysis -- 5 Conclusions -- References -- Appendix -- Sentiment Analysis of Twitter Feeds -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Datasets -- 3.2 Pre-Processing -- 3.3 Stemming Algorithms -- 3.4 Features -- 4 Experimentation -- Naive Bayes -- Maximum Entropy Classifier -- 5 Conclusion -- References -- Graphical Analysis and Visualization of Big Data in Business Domains -- 1 Introduction -- 2 Solution Overview -- 3 Related Work -- 4 Proposed Demonstration -- 5 Conclusions -- References -- Processing Spatio-temporal Data On Map-Reduce -- 1 Introduction -- 2 Tutorial Outline -- 3 Duration -- 4 Prerequisite Knowledge of Audience -- 5 Tutorial History -- 6 Speaker Bios -- References -- Combining User Interested Topic and Document Topic for Personalized Information Retrieval -- 1 Introduction -- 2 Current Practice and Research -- 2.1 Related Work -- 2.2 Problem Description -- 2.3 Proposed Approach Overview -- 3 Proposed User Topic Modeling for Personalized Search -- 3.1 Probabilistic Approach for Personalization -- 3.2 User Profile Modeling -- 3.3 Training for User Interested Topic Identification. 3.4 Exploiting User interest profile Model -- 3.5 Personalized Re-ranking Process -- 4 Experimental Setup -- 4.1 Dataset Description -- 4.2 Baseline Approaches -- 4.3 Evaluation Metrics -- 5 Result Analysis -- 5.1 Experimental Design -- 5.2 Parameter Tuning -- 5.3 Evaluation on Real Dataset -- 6 Conclusion -- References -- Efficient Implementation of Web Search Query Reformulation Using Ant Colony Optimization -- 1 Introduction -- 2 Related Work -- 3 ACO Approach for Personalized Query Reformulation -- 3.1 IR Enabled with Ant System -- 3.2 ACO for Search Query Reformulation -- 3.3 Query Reformulation Phase -- 3.4 Steps in Personalized Query Reformulation Using ACO -- 4 Experimental Evaluation -- 4.1 Test Dataset Preparation -- 4.2 Baselines for Comparison -- 4.3 Evaluation Metrics -- 4.4 ACO Parameter Setting -- 4.5 Experimental Results and Evaluation -- 5 Conclusion -- References -- SemEnAl: Using Semantics for Accelerating Environmental Analytical Model Discovery -- 1 Introduction -- 2 Running Examples: Selected AMs from Domain APQ -- 3 Solution Overview -- 3.1 IEP Phase -- 3.2 Contextual Concepts Extraction Phase -- 3.3 Integration Phase -- 4 Assessment and Evaluation -- 4.1 Experimental Setup and Data Sets -- 4.2 Evaluation -- 5 Related Work -- 5.1 Related Work -- 6 Conclusion -- References -- Relaxed Neighbor Based Graph Transformations for Effective Preprocessing: A Function Prediction Case Study -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Motivation -- 3.2 Basic Idea -- 3.3 Approach -- 4 Experiment Results -- 4.1 Details of Datasets -- 4.2 Approaches Evaluated -- 4.3 Evaluation Methodology -- 4.4 Experiment Results -- 5 Conclusions and Future Work -- References -- Remote Interactive Visualization of Parallel Structural Feature Extraction of 3D Lidar Point Cloud -- 1 Introduction -- 2 System Description. 2.1 Back-End (Server) Computing and Rendering -- 2.2 Virtualization Interface -- 2.3 Front-End (Thin-Client) UI -- 3 Implementation -- 4 Experiments and Discussions -- 5 Conclusions and Future Work -- References -- Elections Again, Twitter May Help!!! A Large Scale Study for Predicting Election Results Using Twitter -- 1 Introduction -- 1.1 The Twitter and World!!! -- 1.2 Sentiment Analysis -- 1.3 The Indian Lok Sabha -- 2 Background and Related Work -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Preparation -- 3.3 Training of Machine -- 3.4 Testing of Data -- 4 Analysis and Results -- 4.1 Analysis of Positive and Negative Tweets -- 5 Discussion -- 6 Conclusions and Future Scope -- Appendix -- References -- Detecting Frauds and Money Laundering: A Tutorial -- 1 Introduction -- 2 Fraud Typologies -- 3 Analytics for Automobile Insurance Fraud Detection -- 4 Frauds in the Stock Market -- 4.1 Insider Trading -- 4.2 Circular Trading -- 5 Money Laundering: An Overview -- 5.1 What Is Money Laundering? -- 5.2 Methods of Money Laundering -- 5.3 Analytics for Money Laundering Detection -- 6 Fraud and Money Laundering Detection: A Roadmap -- 7 Conclusions -- References -- Job Routing in Multi-site Print Shop Environment -- 1 Overview -- 2 Enterprise Module of LDP -- 2.1 Modes of Enterprise Job Routing -- Energy Data Analytics Towards Energy-Efficient Operations for Industrial and Commercial Consumers -- 1 System Architecture -- 2 Use Cases -- References -- Exploring Kaguya Moon Mission Sensor Databy Locating Geographic Entities -- 1 Introduction -- 2 Kaguya Data Archive -- 3 Moon Seeker for Kaguya mission -- 4 Method -- 5 Conclusions -- References -- NewsInstaMiner: Enriching News Article Using Instagram -- 1 Introduction -- 2 NewsInstaMiner Overview -- 2.1 Phase 1: Article Extractor -- 2.2 Phase 2: Concept Extractor and Enrichment. 2.3 Phase 3: Recommending Images -- 3 Experimental Evaluation -- 3.1 NewsInstaMiner Output for Article Extraction -- 3.2 NewsInstaMiner Output for Concept Extraction and Enrichment -- 3.3 NewsInstaMiner Output for Recommending Images -- 4 Conclusion -- References -- SARROD: SPARQL Analyzer and Reordering for Runtime Optimization on Big Data -- 1 Introduction -- 2 Approach -- 2.1 Presence of Literals -- 2.2 Frequency of Links -- 3 Algorithm Design -- 4 Experimentation -- 4.1 SHARD Triple-Store -- 5 Related Work -- 6 Conclusion and Future Work -- References -- Author Index. EBL202104 XX SzGeCERN BOOK Mehta, Sameep https://cds.cern.ch/auth.py?r=EBLIB_P_6303765 ebook n 202114 21 PUBLIC https://catalogue.library.cern/legacy/2761498 BOOK MIGRATED 2761445 SzGeCERN 20210421183939.0 9783030342555 electronic version electronic version 9783030342548 print version oai:cds.cern.ch:2761445 cerncds:BOOK EBL 6303520 eng QA76.76.A65 .C438 2019 005.7 Chatzigiannakis, Ioannis Ambient intelligence 15th European conference, AMI 2019, Rome, Italy, November 13-15, 2019, proceedings Cham Springer International Publishing AG 2019 391 p ebook Lecture notes in computer science 11912 Intro -- Preface -- Organization -- Contents -- Ambient Lighting Atmospheres for Influencing Emotional Expressiveness and Cognitive Performance -- 1 Introduction -- 1.1 Lighting Atmospheres -- 1.2 Shared Decision Making -- 2 Study -- 2.1 Lighting Atmosphere -- 2.2 Participants -- 2.3 Study Design -- 2.4 Procedure -- 3 Results -- 3.1 Manipulation Check -- 3.2 Emotional Expression -- 3.3 Anxiety -- 3.4 Cognitive Performance -- 4 Discussion -- 5 Conclusion -- References -- Power Efficient Clock Synchronization in Bluetooth-Based Mesh Networks -- 1 Introduction -- 2 Time Synchronization in WMN -- 2.1 Overview of Time Synchronization Protocols -- 2.2 Time Synchronization Protocols for Wireless Networks -- 2.3 Time Synchronization in Low-Power Mesh Networks -- 3 Implementation -- 3.1 Design Requirement -- 3.2 Power Efficient Packet Exchange -- 3.3 Network Clock Synchronization -- 4 Measurement Results -- 4.1 Advertising -- 4.2 Scanning -- 4.3 Sleep -- 5 Parameters Selection -- 5.1 Example Calculation -- 6 Results and Future Steps -- 7 Conclusions -- References -- Classifying Teachers' Self-reported Productivity, Stress and Indoor Environmental Quality Using Environmental Sensors -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Participants -- 2.2 Continuous Environmental Monitoring -- 2.3 Self-reporting Application -- 2.4 Data Analysis -- 3 Results -- 3.1 Self-report Dataset -- 3.2 Productivity Classification -- 3.3 Stress Classification -- 3.4 Indoor Environmental Quality Classification -- 4 Discussion -- 4.1 Principal Findings -- 4.2 Individual Differences -- 4.3 Limitations and Future Work -- 5 Conclusions -- Acknowledgements -- References -- User Requirements for the Design of Smart Homes: Dimensions and Goals -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 The Home Context -- 2.2 Smart Homes -- 3 Methods, Procedure and Materials. 3.1 Deepening the Understanding of Everyday Life Interactions -- 3.2 Development and Elaboration of Design Fictions -- 3.3 Design and Evaluation of Smart Home Components -- 3.4 Analysis and Categorization -- 4 Findings: Desired Features and System Expectations -- 4.1 Features -- 4.2 System Expectations -- 5 Design Implications -- 5.1 Design Dimensions -- 5.2 Design Goals -- 6 Conclusions -- Acknowledgements -- References -- A Clustering Approach for Profiling LoRaWAN IoT Devices -- 1 Introduction -- 2 Related Works -- 3 LoRa Technologies and LoRaWAN Protocol -- 3.1 LoRa Modulation Scheme -- 3.2 LoRaWAN Network and Packet Structure -- 4 k-means Algorithm and Best k Selection -- 5 ED Profiling Through Data Clustering -- 5.1 Dataset Description -- 5.2 Evaluation Results -- 6 Conclusion and Future Work -- References -- Experiences from Using Gamification and IoT-Based Educational Tools in High Schools Towards Energy Savings -- 1 Introduction -- 2 Related Work -- 3 Overview of the Deployment Environment -- 4 Gamification and Competition -- 5 IoT-Enabled Educational Activity -- 5.1 Lab Kit and Programming Tools -- 5.2 Data-Driven Education for Energy Awareness -- 5.3 Evaluation -- 6 Behaviour-Based Energy Savings -- 7 Conclusions and Future Work -- References -- IL4IoT: Incremental Learning for Internet-of-Things Devices -- 1 Introduction -- 2 Related Works -- 3 IL4IoT Framework -- 3.1 Problem Statement -- 3.2 Main Components -- 3.3 Step 1: Exemplars Selection -- 3.4 Step 2: Knowledge Refinement -- 3.5 Step 3: Solver Construction -- 4 Experiments -- 4.1 Datasets -- 4.2 Training Details -- 4.3 Comparative Analysis -- 5 Discussion and Future Work -- 6 Conclusion -- References -- Enhanced Buying Experiences in Smart Cities: The SMARTBUY Approach -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Project Scope and Objectives. 4 Overview of the SMARTBUY Architecture and Services -- 4.1 Geo-located Marketing -- 4.2 Product and Services Data Management -- 4.3 Search and Information Retrieval -- 4.4 Recommendation Engine -- 5 Pilot Study -- 6 Conclusions -- Acknowledgement -- References -- Action Recognition Using Local Visual Descriptors and Inertial Data -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Action Extraction -- 3.2 Feature Extraction -- 4 Experiments -- 4.1 Dataset -- 4.2 Classification -- 5 Results and Discussion -- 6 Conclusion -- References -- CircuitsMaster: An Online End-User Development Environment for IoT Electronics -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Assessment -- 3.1 Preliminary Study: Interview -- 3.2 Evaluation Experiment -- 3.3 Application and Workflow Used -- 3.4 Evaluation Process -- 4 Results -- 4.1 Interviews: Three Diverse Unmet Needs -- 4.2 Experiment: CM Speeds up Development -- 5 Discussion - Future Work -- 6 Conclusions -- References -- Enabling Machine Learning Across Heterogeneous Sensor Networks with Graph Autoencoders -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Structure-Independent Graph Autoencoder for HSNs -- 3.1 Prerequisites -- 3.2 Framework Presentation -- 4 Experimental Setup -- 4.1 Datasets and Preprocessing -- 4.2 Experimental Setup -- 5 Results and Discussion -- 5.1 Results for Transfer of ML Models Across HSNs -- 5.2 Evaluation of Deployment Speed -- 5.3 Influence of the Adjacency Matrix Design -- 6 Conclusion and Future Work -- Acknowledgment -- References -- Development of an Acoustically Adaptive Modular System for Near Real-Time Clarity-Enhancement -- Abstract -- 1 Introduction and Motivation -- 2 Concept and Approach -- 3 Methodology and Implementation -- 3.1 Physical/Mechanical Component: Acoustically Adaptive Modules -- 3.2 Computational Component: Evolutionary Solver. 4 Result -- 5 Conclusions -- Acknowledgements -- References -- Experiences from Using LoRa and IEEE 802.15.4 for IoT-Enabled Classrooms -- 1 Introduction -- 2 Previous Work -- 3 Short Overview of IEEE 802.15.4 and LoRa -- 3.1 IEEE 802.15.4 -- 3.2 LoRa -- 4 A Large-Scale IoT Infrastructure Inside School Buildings -- 4.1 IEEE 802.15.4 Network Topology -- 4.2 LoRa Network Topology -- 5 LoRa Network Configurations Comparison -- 6 XBee Network Behavior in School Buildings -- 7 Discussion - Comparison Inside School Buildings -- 8 Conclusions and Future Work -- References -- Adaptive Service Selection for Enabling the Mobility of Autonomous Vehicles -- 1 Introduction -- 2 Enriched Information - An Enabler to the Service Adaptation -- 3 Domain Description and Requirements -- 4 Adaptive Service Selection Framework -- 4.1 Definitions -- 4.2 Quality-Optimal Selection -- 4.3 Recognition Chain Construction and Filtering -- 4.4 Quality Aggregation and Filtering: -- 4.5 Quality-Optimal Selection -- 5 Implementation and Evaluation -- 5.1 Running Example -- 5.2 Setup and Evaluation -- 6 Related Work -- 7 Discussion and Conclusion -- References -- Discovering User Location Semantics Using Mobile Notification Handling Behaviour -- 1 Introduction -- 2 Related Work -- 3 Study Methodology -- 3.1 Apparatus and Participants -- 3.2 Dataset Preparation -- 3.3 Dataset Features -- 4 Predicting User Location Types -- 4.1 Algorithms and Parameter Selection -- 4.2 Decision Tree Modelling Performance -- 4.3 Modelling with Inaccurate User Coordinates -- 4.4 Effect of User Location Coordinates -- 4.5 Discussion -- References -- Data-Driven Intrusion Detection for Ambient Intelligence -- 1 Introduction to Security Issues and Vulnerabilities in Ambient Intelligence -- 1.1 Security Threats -- 1.2 Security Solutions -- 1.3 Anomaly Detection for Internet of Things. 2 Materials and Method -- 2.1 Experimental Scenario -- 2.2 Methods for Anomally Detection -- 2.3 Prediction Performance Measure -- 2.4 Implementation Details -- 3 Results -- 3.1 Exploratory Analysis -- 3.2 Features Extraction and Selection -- 3.3 Experimental Results -- 4 Conclusions and Future Work -- References -- Spoken Language Identification Using ConvNets -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Motivations -- 3.2 Description of Features -- 3.3 Model Description -- 3.4 Model Details: 1D ConvNet -- 3.5 Model Details: 2D ConvNet with Attention and Bi-Directional GRU -- 3.6 Model Details: 2D-ConvNet -- 3.7 Dataset -- 4 Results and Discussion -- 4.1 Misclassification -- 5 Conclusion -- References -- Indoor Air Quality and Wellbeing - Enabling Awareness and Sensitivity with Ambient IoT Displays -- 1 Introduction -- 2 Related Work -- 2.1 Influence of CO2 and Bioeffluents on Wellbeing and Cognitive Performance -- 2.2 Systems Monitoring Indoor Air Quality -- 2.3 Guidelines and Categorization of Ambient Light Systems -- 2.4 Ambient Light in the Office Environment -- 3 Implementation -- 3.1 Hardware -- 3.2 Software -- 3.3 Setup -- 4 Evaluation -- 4.1 Data Recording -- 4.2 Workshop with Meeting Room Users -- 4.3 Workshop Results and Discussion -- 5 Conclusion -- References -- ATHsENSe: An Experiment in Translating Urban Data to Multisensory Immersive Artistic Experiences in Public Space -- Abstract -- 1 Introduction -- 2 State of the Art and Related Work -- 3 Concept and Description of the Installation -- 4 System Architecture -- 4.1 Data Collection and Processing Subsystem -- 4.2 Application Subsystem -- 5 The ATHsENSe Content and Experience as a Multisensory Translation of Urban Data -- 5.1 Data Visualization -- 5.2 Data Translation to Sound and Kinetic Artwork -- 5.3 LED MATRIX Displays. 5.4 Data Translation to Sound and Light Artwork. EBL202104 XX SzGeCERN BOOK De Ruyter, Boris Mavrommati, Irene https://cds.cern.ch/auth.py?r=EBLIB_P_6303520 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2761445 BOOK MIGRATED 2761436 SzGeCERN 20210421183940.0 9783319675855 electronic version electronic version 9783319675848 print version oai:cds.cern.ch:2761436 cerncds:BOOK EBL 6303455 eng QA76.76.A65 .O246 2017 004 Ochoa, Sergio F Ubiquitous computing and ambient intelligence 11th international conference, UCAMI 2017, Philadelphia, PA, USA, November 7-10, 2017, proceedings Cham Springer International Publishing AG 2017 874 p ebook Lecture notes in computer science 10586 Intro -- Preface -- Organization -- Contents -- Internet of Things (IoT) and Smart Cities -- Multi-layer Security Mechanism for Networked Embedded Devices -- 1 Introduction -- 2 Smart Device Components -- 2.1 Power Component -- 2.2 Memory Component -- 2.3 Processing Component -- 2.4 Communications Interface -- 2.5 Real Time Operating System -- 2.6 Application Software -- 3 Security Model -- 4 Application Level Security -- 4.1 System Level Security -- 4.2 Network Level Security -- 5 Conclusion -- References -- Smart Cities in Latin America -- Abstract -- 1 Introduction -- 2 Smart Cities Definition -- 3 Quality of Life in Latin American and the Caribbean Cities -- 4 Latin-American and the Caribbean Smart Cities -- 5 Methodological Approach -- 6 Results -- 6.1 Demographic Data of the Survey -- 6.2 Smart City Technical Readiness as Reported by Respondents -- 6.3 Smartness of LAC Cities -- 7 Conclusions -- Acknowledgement -- References -- Combining Fog Architectures and Distributed Event-Based Systems for Mobile Sensor Location Certification -- 1 Introduction -- 2 Related Work -- 3 DEBS with Location Certification Support -- 4 Fog-Based Architectures -- 4.1 Fixed Brokers Architecture -- 4.2 Assigned Brokers Architecture -- 4.3 Neighbor-Based Architecture -- 5 Conclusion and Ongoing Work -- References -- IOT Service Recommendation Strategy Based on Attribute Relevance -- Abstract -- 1 Introduction -- 2 Related Works -- 3 The Recommendation Strategy of the IoT Based on the Similarity of the User Attributes -- 4 The Recommendation Strategy of IoT Based on the Attribute Correlation of User and Device Service -- 5 Experiment -- 5.1 The Validation of the Recommendation Strategy Based on the Similarities of the User Attributes -- 5.2 The Service Recommendation Strategy Based on the Device Service Attributes Described by Tensor -- 6 Conclusion. Acknowledgement -- References -- Methodology for Analyzing the Travel Time Variability in Public Road Transport -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Methodolgy Description -- 4 Results and Discussion -- 5 Conclusions -- References -- Scheduler for Automatic Management of Maintenance Jobs in Large-Size Systems: A Case Study Applied t ... -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Automatic Scheduler for Maintenance Jobs -- 4 A Case Study Applied to City -- 5 Conclusion -- References -- User-Centered Design of Agriculture Automation Systems Using Internet of Things Paradigm -- 1 Introduction -- 2 Related Work -- 3 Agricultural Platform Design: User-Centered Model, Things-Driven Rules and Design Patterns -- 4 Prototype -- 4.1 Identify Requirements and Analysis -- 5 Conclusions -- References -- Study of Dynamic Factors in Indoor Positioning for Harsh Environments -- 1 Introduction -- 2 Related Works -- 3 Deployment Environment -- 4 Performance Evaluation -- 4.1 Wi-Fi Analysis -- 4.2 BLE Analysis -- 5 Conclusions and Future Works -- References -- A Secure, Out-of-Band, Mechanism to Manage Internet of Things Devices -- Abstract -- 1 Introduction -- 2 Related Work -- 3 A Secure, Out-of-Band, Mechanism to Manage IoT Devices -- 3.1 Hybrid Communication Incorporating IP Networks and LoRaWAN -- 3.2 A Message Format Enabling Secure Management of IoT Devices -- 3.3 A Process Facilitating Secure Management of IoT Devices -- 4 Evaluation -- 5 Conclusion -- Acknowledgments -- References -- Secure System Communication to Emergencies for Victims Management Through Identity Based Signcryption Scheme -- 1 Introduction -- 2 Proposed System -- 3 Route Generation of Healthcare Workers -- 4 Medical Staff Communication with Signcryption Scheme -- 5 Conclusions and Future Work -- References. SensorCentral: A Research Oriented, Device Agnostic, Sensor Data Platform -- Abstract -- 1 Introduction -- 2 Related Work -- 3 A Research Oriented, Device Agnostic, Sensor Data Platform -- 3.1 Platform Architecture -- 3.2 Storage Engine -- 3.3 Device Agnostic Sensor Support -- 3.4 Sensor Management, Experimental Support and Annotation -- 3.5 Sensor Setup and Configuration -- 4 Experimental Support and Annotation Mechanisms -- 5 Use Cases -- 6 Conclusion -- Acknowledgments -- References -- Prosumerization Approach to Semantic Ambient Intelligence Platforms -- 1 Introduction -- 2 Related Work -- 3 Approach to Semantic Ambient Intelligence Platforms Prosumerization -- 3.1 FIESTA-IoT -- 3.2 DataQuest -- 4 Experimental Validation -- 4.1 Context -- 4.2 Planning -- 4.3 Data Collection -- 5 Result -- 6 Discussion -- References -- Modeling the Origin-Destination Matrix with Incomplete Information -- 1 Motivation -- 2 Related Work -- 3 The Model -- 4 Finding Solutions -- 5 Conclusions and Further Work -- References -- Decision-Making Intelligent System for Passenger of Urban Transports -- Abstract -- 1 Introduction -- 2 Related Work -- 3 System Design -- 3.1 Route Design -- 3.2 Development of a Context-Sensitive Service -- 3.3 Prediction of Arrival Times -- 3.4 Passenger Counter: USoniCont -- 3.4.1 Design of the People Counter -- 4 System Automatic: Context Time App -- 4.1 Management Urban Passenger Transport App -- 4.2 Monitoring Drivers Context Information App -- 4.3 Passenger Transport App -- 5 Test and Results -- 6 Conclusions and Future Work -- Acknowledgments -- References -- A Dictionary Based Protocol over LoRa (Long Range) Technology for Applications in Internet of Things -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Development of a Dictionary Based Protocol -- 3.1 Physical Layer -- 3.2 MAC Layer -- 3.3 The Dictionary. 4 Field Experiments for Coverage Analysis -- 5 Results and Discussion -- 6 Conclusions -- Acknowledgments -- References -- Improving Tourist Experience Through an IoT Application Based on FatBeacons -- 1 Introduction -- 2 Preliminaries -- 3 FatBeacon-Based Implementation -- 4 Case Study -- 5 Conclusions -- References -- Protecting Industry 4.0 Systems Against the Malicious Effects of Cyber-Physical Attacks -- Abstract -- 1 Introduction -- 2 State of the Art -- 3 A Protection Solution for Industry 4.0 Systems -- 4 Experimental Validation -- 5 Results -- 6 Conclusions -- Acknowledgments -- References -- Fuzzy-Based Approach of Concept Alignment -- Abstract -- 1 Introduction -- 2 Uncertainty in Schema Matching -- 3 Fuzzy-Based Concept Alignment -- 3.1 Process of Concept Alignment -- 3.2 Concept Alignment Similarities -- 3.3 Fuzzy-Based Approach to Combine Similarity Measures -- 4 Experiment and Results -- 5 Conclusions and Future Work -- References -- A Location-Based Service to Support Collaboration and Strategic Control in a Real Estate Broker -- Abstract -- 1 Introduction -- 2 Related Work -- 3 The Real Estate Broker Agency and Its Value Proposition -- 3.1 Design and Description of Geomanagement Requirements -- 4 Evaluation Methodology of Requirements Compliance -- 4.1 Geomanagement Testing and Use -- 5 Survey Results of the Geo-Management Evaluation -- 6 LBS Performance Management -- 7 Conclusions -- References -- A Proposal for a Distributed Computational Framework in IoT Context -- Abstract -- 1 Introduction -- 2 Background of IoT Distributed Computing -- 3 Distributed Computational Framework -- 4 Conclusions and Future Work -- References -- Data Structures Modelling for Citizen Tracking Based Applications in Smart Cities -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Architecture of the Generalization Model -- 4 Conclusions -- References. System Model for a Continuous Improvement of Road Mass Transit -- Abstract -- 1 Introduction -- 2 Related Works -- 3 System Model Proposal -- 4 Use Case -- 5 Conclusions -- References -- Analysis of Distance and Similarity Metrics in Indoor Positioning Based on Bluetooth Low Energy -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 WKNN -- 3.2 Distance and Similarity Measures -- 4 Experiments and Results -- 4.1 Experimental Setup -- 4.2 Accuracy Results -- 4.3 Precision Results -- 5 Discussion -- 6 Conclusions and Future Works -- References -- HEALTH (AmIHEALTH) -- Usability and Acceptance of a Mobile and Cloud-Based Platform for Supporting Diabetes Self-management -- 1 Introduction -- 2 Related Work -- 3 Cloud-Based Platform -- 3.1 DiMo Store and RESTful API -- 3.2 DiMo Sensing App -- 3.3 DiMo Web Platform -- 4 Usability Evaluation -- 4.1 Hybrid Approach for Data Acquisition and Evaluation -- 4.2 Application of Framework Analysis and Usability Problem Taxonomy -- 4.3 Results -- 5 Conclusions -- References -- A Web and Mobile Applications for Self-control of Patient Blood Pressure Through Mobiles and Biometr ... -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Patient's Data Manager Platform -- 3.1 A Web Applications for Patient's Follow-Up -- 3.2 A Mobile Application for Patient's Follow-Up -- 3.3 User's Registration -- 4 Conclusions -- Acknowledgments -- References -- Proposal for Monitoring the Stress Through the Sensing of Environmental Variables in a Workplace -- Abstract -- 1 Introduction -- 2 Related Work -- 3 System Developed -- 4 User Interface -- 5 Conclusions -- Acknowledgements -- References -- The Differences Between Children with Autism and Typically Developed Children in Using a Hand-Eye-Co ... -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Development and Design -- 3.2 Participants. 3.3 Data Collection. EBL202104 XX SzGeCERN EBL Application software BOOK Singh, Pritpal Bravo, José https://cds.cern.ch/auth.py?r=EBLIB_P_6303455 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2761436 BOOK MIGRATED 2761426 SzGeCERN 20210421183940.0 9783662544556 electronic version electronic version 9783662544549 print version oai:cds.cern.ch:2761426 cerncds:BOOK EBL 6303426 eng QA76.9.A25 .M344 2017 005.8 Maffei, Matteo Principles of security and trust 6th international conference, POST 2017, held as part of the European joint conferences on theory and practice of software, ETAPS 2017, Uppsala, Sweden, April 22-29, 2017, proceedings Berlin Springer 2017 327 p ebook Lecture notes in computer science 10204 Intro -- ETAPS Foreword -- Preface -- Organization -- Contents -- Information Flow -- Timing-Sensitive Noninterference through Composition -- 1 Introduction -- 2 Motivation -- 3 System model -- 4 Security definition -- 5 Combinator core -- 6 Combinator language -- 7 Case study: SME -- 8 Related Work -- References -- Quantifying Vulnerability of Secret Generation Using Hyper-Distributions -- 1 Introduction -- 2 Preliminaries -- 3 Adversarial Knowledge as Hyper-Distributions -- 3.1 Strategies and Environments -- 3.2 Prior Knowledge as a Hyper, and Environmental Vulnerability -- 4 Security by Aggregation and Security by Strategy -- 4.1 Dissecting the Security Guarantees of Traditional Prior Vulnerability -- 4.2 Strategy Vulnerability -- 4.3 Measures of Security by Aggregation and by Strategy -- 5 Models of Adversarial Partial Knowledge -- 5.1 Models of Partial Knowledge as Abstractions of the Environment -- 5.2 Vulnerability of the Secret Given an Abstraction -- 5.3 Strategy Vulnerability Given an Abstraction -- 6 On the Expressiveness of Hypers -- 7 Case Study -- 8 Related Work -- 9 Conclusion -- References -- A Principled Approach to Tracking Information Flow in the Presence of Libraries -- 1 Introduction -- 2 Core Language C -- 2.1 Syntax -- 2.2 Semantics -- 2.3 Correctness -- 2.4 Examples -- 2.5 A Note on the Policy Language -- 3 Lists L -- 3.1 Syntax -- 3.2 Semantics -- 3.3 Correctness -- 3.4 Examples -- 3.5 A Note on the Policy Language -- 4 Higher-Order Functions F -- 4.1 Syntax -- 4.2 Semantics -- 4.3 Correctness -- 4.4 Examples -- 5 Related Work -- 6 Conclusion -- References -- Secure Multi-party Computation: Information Flow of Outputs and Game Theory -- 1 Introduction -- 2 Background -- 3 Formal Setting -- 4 Information Flow from One Observed Public Output -- 5 Anticipated Information Flow from Expected Outputs -- 6 Game Theoretic MPC. 7 Discussion and Related Work -- 8 Conclusions -- References -- Security Protocols -- Automated Verification of Dynamic Root of Trust Protocols -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Trusted Computing -- 3.2 ProVerif Process Calculus -- 4 Formalisation -- 4.1 Cryptographic Primitives and Platform Constants -- 4.2 Dynamically Loaded Programs -- 4.3 Platform State -- 4.4 Read and Write Access -- 4.5 Communication Channels -- 4.6 The Trusted Platform Module -- 4.7 Dynamic Root of Trust: Launch -- 4.8 Dynamic Root of Trust: Execution -- 4.9 Security Properties in the Formal Model -- 5 Process Transformation for Automated Verification -- 5.1 Sketch of Correctness Proofs -- 6 Verification -- 7 Further Work -- References -- Beyond Subterm-Convergent Equational Theories in Automated Verification of Stateful Protocols -- 1 Introduction -- 2 Preliminaries -- 2.1 Representing Messages as Terms -- 2.2 Modeling Protocols and Adversaries Using Multiset Rewriting Rules -- 2.3 Specifying Security Properties -- 3 Beyond Subterm-Convergent Equational Theories -- 3.1 Subterm-Convergent Equational Theories -- 3.2 Convergent Equational Theories -- 3.3 Further Restrictions -- Normal Form Conditions -- 4 Case Studies -- 4.1 Chaum's Online e-Cash Protocol -- 4.2 The FOO Voting Protocol -- 4.3 The Okamoto Protocol -- 4.4 Prefix Property: Denning-Sacco and Needham-Schroeder Protocols -- 4.5 Summary of Case Studies -- 5 Conclusion -- References -- On Communication Models When Verifying Equivalence Properties -- 1 Introduction -- 2 Model -- 2.1 Syntax -- 2.2 Operational Semantics -- 2.3 Reachability and Behavioural Equivalences -- 2.4 Labelled Semantics -- 3 Comparing the Different Semantics -- 4 Subclasses of Processes for Which the Semantics Coincide -- 4.1 Simple Processes -- 4.2 I/O-Unambiguous Processes -- 5 Different Semantics in Practice. 6 Conclusion -- References -- A Survey of Attacks on Ethereum Smart Contracts (SoK) -- 1 Introduction -- 2 Background on Ethereum Smart Contracts -- 3 A Taxonomy of Vulnerabilities in Smart Contracts -- 4 Attacks -- 4.1 The DAO Attack -- 4.2 King of the Ether Throne -- 4.3 Rubixi -- 4.4 Multi-player Games -- 4.5 GovernMental -- 4.6 Dynamic Libraries -- 5 Discussion -- References -- Security Policies -- Security Analysis of Cache Replacement Policies -- 1 Introduction -- 2 The Model -- 2.1 Caches as Mealy Machines -- 2.2 Quantifying Absorption and Extraction -- 3 Absorption of Information -- 3.1 Data Independence of Permutation Replacement Policies -- 3.2 Analysis of Cache Replacement Policies -- 4 Extraction of Information -- 4.1 Probing Strategies -- 4.2 Information Extraction in Caches -- 5 An Algorithm for Information Extraction -- 6 Experimental Results -- 6.1 Extraction (Program-Independent) -- 6.2 Extraction (Program-Dependent) -- 7 Related Work -- 8 Future Work and Conclusions -- References -- Model Checking Exact Cost for Attack Scenarios -- 1 Introduction -- 2 Preliminaries -- 2.1 Attack Trees -- 2.2 Markov Decision Processes -- 2.3 Probabilistic Model Checking -- 3 The Logic erPCTL -- 3.1 Probabilistic Operator with Cost Bound PJ(I) -- 3.2 Cost Operator CI() -- 4 Model Checking erPCTL -- 4.1 Model Checking the Operator PJ(I) -- 4.2 Model Checking the Operator CI() -- 5 Analysis of Attack Trees -- 5.1 From Attack Trees to MDPs -- 5.2 Evaluation of Attack Scenarios -- 6 Conclusion -- References -- Postulates for Revocation Schemes -- 1 Introduction -- 2 Related Work -- 2.1 Hagstöm et al.'s Framework -- 2.2 Problems with Hagström et al.'s Framework -- 2.3 Revocations and Denials -- 3 Postulates for Delegation and Revocation -- 3.1 Preliminaries -- 3.2 The Four Postulates -- 3.3 The Postulates Applied to Existing Frameworks. 4 The Basic Framework Dom -- 5 Adding Non-resilient Revocation: DR -- 6 Adding Local Revocations: DPR -- 7 Conclusion and Future Work -- References -- Defense in Depth Formulation and Usage in Dynamic Access Control -- 1 Introduction -- 2 Background -- 2.1 Access Control -- 2.2 Mathematical Background -- 3 Firewall Policies as Product Families -- 3.1 Defense in Depth Strategy and Its Usage -- 3.2 Generating Lower Level Policies from Higher Level Ones -- 4 Automation of the Management of Policies and the Verification of Their Integrability -- 5 Discussion and Future Work -- 6 Conclusion -- References -- Information Leakage -- Compositional Synthesis of Leakage Resilient Programs -- 1 Introduction -- 2 Preliminaries -- 3 Compositionality of Leakage Resilience -- 3.1 Parallel Composition -- 3.2 Sequential Composition -- 4 Compositional Synthesis Algorithm -- 4.1 Constraint-Based Monolithic Synthesis -- 4.2 Choosing Decomposition -- 5 Implementation and Experiments -- 6 Related Work -- 7 Conclusion -- References -- Combining Differential Privacy and Mutual Information for Analyzing Leakages in Workflows -- 1 Introduction -- 2 Related Work -- 3 Workflows -- 4 Information Flow -- 5 Differential Privacy -- 6 Inputs to the Analysis -- 6.1 Sensitivity -- 6.2 Differential Privacy -- 6.3 Mutual Information -- 7 Analysis -- 7.1 Bounding the Information Flow Through Components -- 7.2 Maximum Information Flow in a Workflow -- 8 Completeness of Algorithm1 -- 9 Component Types -- 9.1 Database Aggregator -- 9.2 Database Linker -- 9.3 Scalar Combiner -- 9.4 Laplace Randomizer -- 9.5 Laplace Randomizer Without Sensitivity -- 9.6 Secret Sharing -- 10 Implementation -- 11 Example -- 12 Conclusion -- References -- Author Index. EBL202104 XX SzGeCERN EBL Computer science EBL Computers and civilization BOOK Ryan, Mark https://cds.cern.ch/auth.py?r=EBLIB_P_6303426 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2761426 BOOK MIGRATED 2761393 SzGeCERN 20210421183941.0 9783642255045 electronic version electronic version 9783642255038 print version oai:cds.cern.ch:2761393 cerncds:BOOK EBL 6303299 eng QA75.5-76.95 629.892 Mutlu, Bilge Social robotics third international conference on social robotics, ICSR 2011, Amsterdam, The Netherlands, November 24-25, 2011 proceedings Berlin Springer 2011 249 p ebook Lecture notes in computer science 7072 Intro -- 7072 -- Message from the General Chairs -- Preface -- Organization -- Table of Contents -- Social Interaction with Robots -- Interaction Scenarios for HRI in Public Space -- Introduction -- Scenarios -- Using Human-Human Studies in User-Centered HRI -- Deriving Personas from Human-Human Data -- The Method -- The Personas -- Deriving Scenarios from Human-Human Data -- The Method -- The Scenarios -- Benefits of Using Human-Human Study-Based Scenarios in HRI -- Conclusions -- References -- MAWARI: A Social Interface to Reduce theWorkload of the Conversation -- Introduction -- Interface of MAWARI as an Interactive Social Medium -- Designing Concept of MAWARI -- Empirical Evaluation -- NASA-Task Load Index (NASA-TLX) -- Results -- Discussion and Conclusion -- References -- Nonverbal Interaction with Social Robots -- Design of Robust Robotic Proxemic Behaviour -- Introduction -- Navigation Framework -- User Study -- Methodology -- Results -- Personal Space and Region of Approach -- Target Representation and Navigation -- Validation -- Discussion and Conclusion -- References -- Effects of Gesture on the Perceptionof Psychological Anthropomorphism:A Case Study with a Humanoid Robot -- Introduction -- Related Work -- Method -- Hypothesis -- Materials -- Experimental Design -- Experimental Procedure -- Dependent Measures -- Participants -- Results -- Discussion and Conclusion -- References -- Eight Lessons Learned about Non-verbal Interactionsthrough Robot Theater -- Introduction -- Motivation: Use Theater to Improve Robot Sociability -- Background: Non-verbal Interaction -- Lessons Learned through Robot Theater -- Lesson 1 - Have a Goal: Convey Intentionality -- Lesson 2 - There Is No Mind without Body -- Lesson 3 - Mirror Neurons: Physicality and Motion -- Lesson 4 - Outward Emotional Communication Trumps InwardExperience. Lesson 5 - Social Role: The Gulf between Props and Character -- Lesson 6 - Good Actors Outweigh Bad Actors: Attribution -- Lesson 7 - Acknowledgement/Learning: Looping in Audience Feedback -- Lesson 8 - Humor Will Make People Like Your Robot Better -- Conclusion: The Role of Robot Theater -- References -- Proxemic Feature Recognition for Interactive Robots:Automating Metrics from the Social Sciences -- Introduction and Background -- Metrics for Proxemic Behavior Analysis -- Schegloff's Metrics -- McNeill's Metrics -- Mehrabian's Metrics -- Hall's Metrics3 -- Pilot Study -- Qualitative Analysis and Discussion -- Conclusions and Future Work -- Heuristic-Based vs. Learned Approaches -- Environmental Interference -- Human-Robot Interaction -- References -- Children Interpretation of Emotional Body LanguageDisplayed by a Robot -- Introduction -- Body Language as a Modality for Robot to Display Emotions -- Previous Results -- Research Question -- The Experiment -- Participants -- Material -- Procedure -- Results -- Identification of the Emotion -- Effect of Head Position on the Interpretation -- Discussions -- Conclusion -- References -- Making Robots Persuasive: The Influence of CombiningPersuasive Strategies (Gazing and Gestures) by aStorytelling Robot on Its Persuasive Power -- Introduction -- The Current Research -- Hypotheses -- Method -- Participants and Design -- Materials and Measures -- Procedure -- Results -- Persuasion -- Discussion -- Conclusion -- References -- BEHAVE: A Set of Measures to Assess Users'Attitudinal and Non-verbal Behavioral Responsesto a Robot's Social Behaviors -- Introduction -- Theoretical Background -- Relevant Measures to Study Human Responses to Social Behaviors of Robots -- Attitudinal Response -- Non-verbal BehavioralResponse -- An HRI Experiment to Test the Validity and Reliability of theMeasures -- Participants. Methods -- Experimental Procedure -- Results -- Discussion and Conclusion -- References -- Robots in Society -- Initial Formation of Trust:Designing an Interaction with Geminoid-DKto Promote a Positive Attitude for Cooperation -- Introduction -- Introduction to Balance Theory -- Touch, Persuasion, and Attitudes -- Touch, Trust and the Geminoid -- Empirical Study -- Subjects -- Apparatus -- Environment -- Procedure -- Conditions -- Measures -- Results -- Academic Implications -- References -- Minimal Group - Maximal Effect? Evaluation andAnthropomorphization of the Humanoid Robot NAO -- Introduction -- Method -- Participants -- Procedure -- Experimental Manipulation -- Dependent Measures -- Results -- Acceptance of the Robot -- Anthropomorphization of the Robot -- General Willingnes s to Interact with Robots -- Discussion -- References -- Homewrecker 2.0: An Exploration of Liability for HeartBalm Torts Involving AI Humanoid Consorts -- Introduction -- Background -- Technology -- The Heart Balm Torts -- Liability Options -- Incorporating Heartache as a Means to Limit Liability -- Conclusion -- References -- Examining the Frankenstein Syndrome -- Introduction -- Kaplan and the Frankenstein Syndrome -- Cross-Cultural Differences in HRI -- Towards a Tool for Cross-Cultural Investigation of the FrankensteinSyndrome -- Methodology -- Questionnaire Design -- Data Collection -- Coding Scheme -- Results -- Demographics -- Independence Measures -- Cultural Comparisons -- Summary of Results -- Discussion -- Conclusions and Future Work -- References -- Social Robots in Education -- The Effects of a Robot Instructor's Positive vs. NegativeFeedbacks on Attraction and Acceptance towards theRobot in Classroom -- Introduction -- Robot as Instructor -- Positive, Negative, or Neutral Feedback -- Method -- Participants -- Apparatus and Stimulus Material -- Procedure. Measurement -- Results -- Discussion and Conclusion -- References -- Engkey: Tele-education Robot -- Introduction -- System Configuration -- Remote User Interface -- Face Imitation -- Head Tracking -- Facial Feature Tracking -- Navigation -- Experimental Result -- Conclusion -- References -- Motivating Children to Learn Arithmetic withan Adaptive Robot Game -- Introduction -- Aspects of Motivation -- Implementation -- Experimental Method -- Participants -- Materials -- Experimental Design -- Procedure -- Results -- Motivation -- Results Arithmetic Aspects -- Conclusion and Discussion -- References -- Affective Interaction with Social Robots -- Attitude towards Robots Depends on InteractionBut Not on Anticipatory Behaviour -- Introduction -- Methods -- Experimental Setup -- Participants and Task -- Design -- Procedure -- Questionnaire -- Data Analysis -- Results -- Discussion -- References -- Listening to Sad Music While Seeing a Happy Robot Face -- Introduction -- Hypotheses -- Method -- Interaction Design -- Design and Results of the Experiment -- Discussion -- References -- Analysis of Bluffing Behaviorin Human-Humanoid Poker Game -- Introduction -- Experiment -- Humanoid Robot Platform -- Procedure -- Simplified Rule of Texas Hold'em -- Card Hand Condition -- Measurement -- Bluff. -- Nonverbal behaviors. -- Descriptive questionnaire. -- Results -- Bluff in Betting Decision -- Effect of Card Hand Strength on a Nonverbal Behavior -- Regression Model of Card Hand Strength -- Discussion -- Conclusion -- References -- Evaluating Supportive and Instructive RobotRoles in Human-Robot Interaction -- Introduction and Related Work -- Human-Robot Interaction System -- Experiment -- Experiment Design -- Participants -- Hypotheses -- Data Acquisition -- Results -- Discussion -- Conclusion -- References -- Robots in the Home. People's Perception of Domestic Service Robots:Same Household, Same Opinion? -- Introduction -- Related Work -- Study Design -- Method and Measurements -- Participants -- Design -- Findings -- Individual Level -- Household Level -- Limitations and Discussion -- References -- RoboCup@Home: Adaptive Benchmarkingof Robot Bodies and Minds -- Introduction -- Defining the Road Map Through Adaptive Benchmarking -- From Physical to Mental Capabilities -- The First Cognitive Benchmark in Robocup@Home -- Actions and Categories of Tasks -- Statistical Analysis of the Benchmarking -- Analysis of Desired Abilities in the Tests -- Analysis of Team Performance -- Discussion -- References -- Requirements and Platforms for Social Agents ThatAlarm and Support Elderly Living Alone -- Introduction -- Background -- Needs of Demented Elderly Living Alone and Assistive Technology -- Social Robots for Demented Elderly -- Research Approach -- Situated Cognitive Engineering (SCE) -- First Requirements, Claims and Use Cases -- Experiment -- Method -- Results -- Conclusions and Discussion -- References -- Author Index. EBL202104 XX SzGeCERN EBL Robotics-Congresses BOOK Bartneck, Christoph Ham, Jaap Evers, Vanessa Kanda, Takayuki https://cds.cern.ch/auth.py?r=EBLIB_P_6303299 ebook n 202114 21 PUBLIC https://catalogue.library.cern/legacy/2761393 BOOK MIGRATED 2761389 SzGeCERN 20210421183942.0 9783662452370 electronic version electronic version 9783662452363 print version oai:cds.cern.ch:2761389 cerncds:BOOK EBL 6303274 eng TK5105.5 .C667 2014 004.6 Saeed, Khalid Computer information systems and industrial management 13th IFIP TC 8 international conference, CISIM 2014, Ho Chi Minh City, Vietnam, November 5-7, 2014, proceedings Berlin Springer 2014 718 p ebook Lecture notes in computer science 8838 Intro -- Preface -- Message from the Host University -- Organization -- Table of Contents -- Keynote Papers -- Processing Collective Knowledge - Conflict Resolution and Integration Aspects -- 1 Collective Knowledge -- 2 Inconsistency Aspect of Collective Knowledge -- 3 Integration Computing -- References -- How to Store and Process Big Data: Are Today's Databases Sufficient? -- 1 Introduction -- 2 Big Data and Big Analytics -- 3 Big Data Storage and Management -- 3.1 Relational DBMSs -- 3.2 Distributed File Systems and Hadoop Technologies -- 3.3 NoSQL Databases -- 3.4 Big Data Management Systems -- 3.5 NewSQL Databases -- 3.6 NoSQL with ACID Transactions -- 4 Challenges and Conclusions -- References -- Algorithms -- A New Contention Management Technique for Obstruction Free Transactional Memory -- 1 Introduction -- 2 Background -- 2.1 DSTM -- 2.2 ASTM -- 3 Proposed Scheme of Arbitration over a Resource between Two or More Competing Transactions -- 3.1 TM-Object Structure in Proposed OFTM -- 3.2 Nomenclature -- 3.3 Proposed Algorithm -- 3.4 Case Study -- 3.5 Comparison of the Proposed OFTM with DSTM and ASTM -- 4 Performance Evaluation -- 4.1 Metric of Evaluation -- 4.2 Performance Summary -- 5 Conclusion and Future Scope -- References -- Evolutionary Algorithm for Decision Tree Induction -- 1 Introduction -- 2 Decision Tree -- 3 Evolutionary Algorithm -- 4 The EVO-Tree Algorithm -- 4.1 Representation -- 4.2 Initial Population -- 4.3 Fitness Evaluation -- 4.4 Selection -- 4.5 Crossover -- 4.6 Mutation -- 4.7 Stopping Criteria -- 5 Experiments -- 5.1 Default Parameters -- 5.2 Datasets -- 5.3 Experimental Analysis and Results -- 6 Conclusion and Future Work -- References -- A New Method for Mining High Average Utility Itemsets -- 1 Introduction -- 2 Related Work -- 2.1 High Utility Itemset Mining -- 2.2 High Average-Utility Itemset Mining. 3 Proposed Algorithm -- 3.1 Notations -- 3.2 The Downward Closure Properties of HAUUBI -- 3.3 A New Structure of Itemset -- 3.4 Algorithm for Mining HAUI -- 3.5 Purposes of Using TX and PosX -- 4 Illustration -- 5 Experiments -- 6 Conclusions and Future Work -- References -- Spectral Clustering Based on Analysis of Eigenvector Properties -- 1 Introduction -- 2 Notation and Definitions -- 3 Properties of Graph Eigenvectors -- 4 Preliminaries -- 5 TheSpecLoc2 Algorithm -- 6 Experiments -- 7 Conclusions -- References -- Applying Recurrent Fuzzy Neural Network to Predict the Runoff of Srepok River -- 1 Introduction -- 2 Related Work -- 3 Data Set -- 4 Proposed Method -- 5 Experiment -- 5.1 Experiments with SWAT Model -- 5.2 Experiments with RFNN -- 6 Conclusions -- References -- Comparison of Chaos Driven PSO and Differential Evolution on the Selected PID Tuning Problem -- 1 Introduction -- 2 Motivation -- 3 PSO Algorithm -- 4 Differential Evolution -- 5 The Concept of CPRNG -- 5.1 Chaotic System r for CPRNG -- 6 Problem Design -- 6.1 PID Controller -- 6.2 Cost Function -- 7 Results -- 8 Conclusion -- References -- Improving Rule Selection from Robot Soccer Strategy with Substrategies -- 1 Introduction -- 1.1 Robot Soccer Architecture -- 1.2 Rule Selection -- 2 Problems with Current Approach -- 3 Substrategies -- 3.1 Game Profile -- 4 Experiments -- 5 Conclusion and Future Work -- References -- Novel Ranking Methods Applied to Complex Membership Determination Problems -- 1 Introduction -- 2 Preliminary Notations and Definitions -- 3 Gradient and Divergence Operators -- 4 Laplace Operator -- 5 Curvature Operator -- 6 p-Laplace Operator -- 7 Discrete Regularization on Graphs and Protein Function Classification Problems -- 7.1 2-smoothness -- 7.2 1-smoothness -- 7.3 p-smoothness -- 8 Experiments and Results -- 9 Conclusions -- References. Combination of Self Organizing Maps and Growing Neural Gas -- 1 Introduction -- 2 Artificial Neural Networks -- 2.1 Self Organizing Maps -- 2.2 Growing Neural Gas -- 2.3 Combination of SOM and GNG -- 3 Experiments -- 3.1 Experimental Datasets and Hardware -- 3.2 First Part of the Experiment -- 3.3 Second Part of the Experiment -- 3.4 Third Part of the Experiment -- 4 Conclusion -- References -- Biometrics and Biometrics Applications -- A Survey of Security and Privacy Issues for Biometrics Based Remote Authentication in Cloud -- 1 Introduction -- 2 Security Challenges Faced by Biometrics Techniques -- 3 Literature Survey -- 3.1 Authentication Based on Singular Biometrics Features -- 3.2 Authentication Systems with Encrypted Biometrics Features -- 4 Analysis -- 5 Open Issues -- 5.1 Design of Effective Framework for Achieving Balance between Security and Privacy -- 5.2 Design of Energy Efficient Multi-modal Biometrics based Authentication Scheme for Different State-of-the-Art Applications -- 5.3 Consideration of Psychological or Other Environmental Effects on Biometrics Features of an Individual for Better Authentication -- 5.4 Design of Cost-Effective Means to Record Biometrics Features -- 6 Conclusion -- References -- On the Comparison of the Keystroke Dynamics Databases -- 1 Introduction -- 2 Previous Approaches -- 3 Database Gathering -- 3.1 Database Classification -- 3.2 Publicly Available Databases -- 3.3 Authors' Database -- 4 Database Comparison in Practice -- 5 Conclusions -- References -- Influence of Eye Diseases on the Retina Pattern Recognition -- 1 Introduction -- 2 Retina Pattern Algorithm -- 3 Experimental Results -- 4 Result Analysis and Conclusions -- References -- Pupil and Iris Detection Algorithm for Near-Infrared Capture Devices -- 1 Introduction -- 2 State of the Art -- 3 Proposed Algorithm -- 3.1 Initial Preprocessing. 3.2 Pupil Acquisition -- 3.3 Preprocessing for Iris Acquisition -- 3.4 Iris Acquisition -- 4 Results -- 5 Conclusions and Future Work -- References -- Data Analysis and Information Retrieval -- Query Selectivity Estimation Based on Improved V-optimal Histogram by Introducing Information about Distribution of Boundaries of Range Query Conditions -- 1 Introduction -- 2 Motivating Example - Description of the Proposed Method -- 2.1 Exemplary Attribute Values Distribution and its Representation -- 2.2 Exemplary of Distribution of Range Query Condition Bounds -- 2.3 Verifying the Applicability of the Proposed Method -- 2.4 Using K-fold Cross Validation for Obtaining the Optimal Clusters of Boundaries of Range Query Condition -- 2.5 Clustering Query Boundary Values from Learn Set and Rejecting Either Low Cardinality Clusters or Wide Ones -- 2.6 Creating qda-V-Optimal Histogram - Rejecting Boundaries of V-Optimal Histogram That Are Close to Centers of Accepted Clusters -- 2.7 Obtaining the Optimal Number of Clusters of Query Boundaries - Minimizing Mean Error of Selectivity Estimations Based on Qda-V-Optimal Histogram -- 3 The Algorithm of the Proposed Method -- 4 Conclusions -- References -- Dynamic Centrality for Directed Co-author Network with Context -- 1 Introduction -- 2 Network with Context on the DBLP -- 2.1 Digital Bibliography Library Project -- 2.2 Author's Relationships with Context to Terms -- 3 Dynamic Network Analysis -- 4 Experiments -- 5 Conclusion -- References -- Towards a Conceptual Search for Vietnamese Legal Text -- 1 Introduction -- 2 Related Works -- 3 A Conceptual Search for Vietnamese Legal Text -- 3.1 IR System Architecture -- 3.2 Recognition of Logical Structure of Vietnamese Legal Text -- 3.3 Building Vietnamese Legal Ontology on LKIF Core Ontology Schema -- 4 Corpus and Evaluation Methods. 4.1 Vietnamese Legal Document Database and Training Corpus -- 4.2 The Task of Recognition of Logical Structure -- 4.3 The Task of Ontology Instances Classification -- 4.4 Evaluation on Information Retrieval System -- 5 Conclusion and Future Work -- References -- A Vietnamese Question Answering System in Vietnam's Legal Documents -- 1 Introduction -- 2 Related Works -- 3 Vietnam's Legal Documents -- 4 vLawyer System -- 4.1 Theoretical Basis -- 4.2 System Architecture -- 5 Experiment, Conclusion and Future Works -- 5.1 Experiment -- 5.2 Conclusion and Future Works -- References -- An Inner-Enterprise Wiki System (IWkS) Integrated with an Expert Finding Mechanism for Lesson-Learned Knowledge Accumulation in Product Design -- 1 Introduction -- 2 IWkS for Lesson-Learned Knowledge Accumulation -- 2.1 Lesson-Learned Knowledge -- 2.2 Mechanism of Knowledge Accumulation through IWkS -- 3 Expert Finding Approaches in IWkS -- 3.1 Framework for the Expert Finding Mechanism -- 3.2 Expertise Relevance Computation -- 3.3 Engineers' Social Importance Computation -- 4 Experiments -- 4.1 Experimental Design -- 4.2 The Optimal Parameter Value -- 4.3 The Effectiveness of the Proposed Method -- 5 A Working Scenario of the Whole IWkS for Knowledge Accumulation -- 6 Conclusions -- References -- Movie Recommendation Using OLAP and Multidimensional Data Model -- 1 Introduction -- 2 Background of Recommender System -- 2.1 Recommender System -- 2.2 Content-Based Recommender System -- 2.3 Data Warehouse and Multidimensional Recommender System -- 3 Experimental Methodology -- 3.1 Architecture of the Proposed System -- 3.2 Data Preparation Using Extract-Transform-Load (ETL) -- 3.3 Multidimensional Data Analysis using OLAP -- 3.4 Multi-criteria Candidates Selection -- 4 Experimental Results -- 4.1 Social Recommendation Using Frequent of Rating and Distribution of Score. 4.2 Personalized Recommendation. EBL202104 XX SzGeCERN EBL Computer networks-Congresses EBL Computer networks-Security measures-Congresses BOOK Snásel, Václav https://cds.cern.ch/auth.py?r=EBLIB_P_6303274 ebook n 202114 21 PUBLIC https://catalogue.library.cern/legacy/2761389 BOOK MIGRATED 2761359 SzGeCERN 20210421183943.0 9783319264011 electronic version electronic version 9783319264004 print version oai:cds.cern.ch:2761359 cerncds:BOOK EBL 6303129 eng QA76.5915 .U257 2015 004 García-Chamizo, Juan M Ubiquitous computing and ambient intelligence sensing, processing, and using environmental information 9th international conference, UCAMI 2015, Puerto Varas, Chile, December 1-4, 2015, proceedings Cham Springer International Publishing AG 2015 515 p ebook Lecture notes in computer science 9454 Intro -- Preface -- Organization -- Contents -- Adding Intelligence for Environment Adaptation -- MagicFinger: A New Approach to Indoor Localization -- 1 Introduction -- 2 Related Work -- 3 MagicFinger: An Indoor Localization Mechanism Based on 3D Magnetic Fingerprints -- 3.1 Offline Training Phase -- 3.2 Online Localization Phase -- 4 Evaluation and Result Analysis -- 5 Conclusions and Future Work -- References -- A Mobile Application as an Unobtrusive Tool for Behavioural Mapping in Public Spaces -- 1 Introduction -- 2 Behavioural Mapping Methodology -- 3 The Monitoring Tool -- 3.1 The Mobile Application -- 3.2 The Web Services -- 4 Discussion -- 5 Conclusions -- References -- Thought and Life Logging: A Pilot Study -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Tholilo Data Collection Framework -- 4 Pilot Data Collection -- 5 Results of Pilot Data Analysis -- 6 Conclusion and Discussion -- Acknowledgment -- References -- A Top-Down Design Approach for an Automated Testing Framework -- 1 Introduction -- 2 Related Work -- 3 Top-Down Design Approach -- 3.1 Defining Objectives, Threats, Weaknesses and Requirements -- 4 Proposed Framework -- 4.1 User-Interaction Features -- 4.2 Bug Repository -- 4.3 Test Case Repository -- 4.4 Inference Engine -- 4.5 Bug Analyzer -- 4.6 Exploration Environment -- 5 Preliminary Results -- 5.1 Image Capture -- 5.2 Interest Point Detector and Descriptor -- 5.3 GUI Specifications -- 6 Conclusions and Future Work -- References -- Parameter Optimization for Online Change Detection in Activity Monitoring Using Multivariate Exponentially Weighted Moving Average (MEWMA) -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Multivariate Exponentially Weighted Moving Average (MEWMA) Change Point Detection Algorithm -- 3.1 Experimental Setup -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References. Generation of a Partitioned Dataset with Single, Interleave and Multioccupancy Daily Living Activities -- 1 Introduction -- 2 Related Works -- 3 Dataset Generation -- 3.1 Smart Environment and ADLs -- 3.2 Dataset Description -- 4 Conclusions and Future Works -- References -- Adapting a Bandwidth-Efficient Information Dissemination Scheme for Urban VANETs -- 1 Introduction -- 2 Related Work -- 2.1 Previous Work -- 2.2 State of the Art -- 3 Exploration Description -- 3.1 Parameters Subject to Study -- 3.2 Metrics -- 4 Simulations Configuration -- 5 Results -- 5.1 Tuning of Tmax -- 5.2 Tuning of Tj -- 5.3 Tuning of -- 5.4 Comparative of the Schemes with the Final Values -- 6 Conclusions -- References -- Cooperative Decision-Making ITS Architecture Based on Distributed RSUs -- Abstract -- 1 Introduction -- 2 Cooperative Decision-Making ITS -- 2.1 Global System Architecture -- 2.2 Software Architecture of Platform on GWs -- 3 Architecture's Main Components -- 3.1 DDP: Data Distribution Platform -- 3.2 CLU: Collaborative Learning Unit -- 4 ITS Test Services -- 5 Conclusion and Future Work -- Acknowledgement -- References -- A Data Analytics Schema for Activity Recognition in Smart Home Environments -- 1 Introduction -- 2 Related Work -- 3 Cloud-Assisted Agent-Based Smart Home Environment -- 3.1 CASE Architecture -- 3.2 CASE Activity Recognition -- 4 Case Study -- 4.1 Mining on Environmental Sensors Data -- 4.2 Mining on Wearable Sensors Data -- 4.3 Inference Rules -- 5 Conclusion -- References -- Teaching a Virtual Robot to Perform Tasks by Learning from Observation -- 1 Introduction -- 2 Behavioral Models Based on Discrete-Time Finite-State Deterministic and Stochastic Processes -- 3 Behavioral Cloning Algorithms for Reactive and Planned Behaviors -- 3.1 Probabilistic Finite Automata -- 3.2 Evaluation Metrics -- 4 Experiments -- 4.1 Training Maps. 4.2 Agent Strategies -- 4.3 Evaluation -- 5 Conclusions and Future Work -- References -- Facing up Social Activity Recognition Using Smartphone Sensors -- 1 Introduction -- 2 Related Work -- 3 System Design -- 3.1 Sensors Used -- 3.2 Context Data Capturing -- 3.3 Data Processing -- 4 Evaluation -- 4.1 Feature Comparison -- 4.2 Window Size Comparison -- 4.3 Classifier Comparison -- 4.4 Sample Rate Comparison -- 4.5 Test Set Results -- 5 Conclusion -- References -- RBox: An Experimentation Tool for Creating Event-Driven Recommender Algorithms for Web 2.0 -- Abstract -- 1 Introduction -- 2 Related Works -- 3 RBox Basics -- 3.1 Design Issues -- 3.2 Generic Data Model -- 4 Comparing RBox -- 5 Conclusions and Future Work -- Acknowledgements -- References -- Supporting Smart Community Decision Making for Self-governance with Multiple Views -- Abstract -- 1 Introduction -- 2 Smart City Definitions -- 2.1 Topics Covered by a Smart City -- 2.2 Common Aspects to Smart City Definitions -- 2.3 Smart Community -- 3 Smart People as Sensors -- 4 Multiple Views -- 5 A Smart Community Application -- 6 Usability Test of the Application -- 7 Conclusions and Future Work -- References -- Building Smart Adaptable Cyber-Physical Systems: Definitions, Classification and Elements -- Abstract -- 1 Introduction -- 2 History, Definition and Related Work -- 3 Elements in a SACPS Layered Model -- 4 Classification of SACPS -- References -- Comparative Analysis of Artificial Hydrocarbon Networks and Data-Driven Approaches for Human Activity Recognition -- Abstract -- 1 Introduction -- 2 Data-Driven Approaches for Classification of Body Postures and Movements -- 3 Artificial Hydrocarbon Networks Approach for Human Activity Recognition -- 3.1 Artificial Hydrocarbon Networks -- 3.2 Human Activity Recognition Based on Artificial Hydrocarbon Networks -- 4 Experiments. 4.1 Dataset Description -- 4.2 Feature Selection -- 4.3 Methodology -- 5 Results and Discussion -- 5.1 AHN-Based Human Activity Model -- 5.2 Deep Learning-Based Human Activity Model -- 5.3 Comparative Analysis of Data-Driven Human Activity Models -- 6 Conclusions and Future Work -- References -- Activity Recognition in Intelligent Assistive Environments Through Video Analysis with Body-Angles Algorithm -- Abstract -- 1 Introduction -- 2 Proposed Research Line -- 3 First Subproject in Development -- 4 State of the Art -- 5 Core Project -- Activity Recognition System -- 5.1 Design and Evolution of the System -- 5.2 Body-Angles Algorithm -- 6 Body-Angles Algorithm Test -- 7 Conclusions and Future Work -- Acknowledgments -- References -- Autonomous Evaluation of Interaction Resource Adequateness for Ambient Intelligence Scenarios -- Abstract -- 1 Introduction -- 2 Context-Adaptive Ambient Intelligence User Interfaces -- 3 Autonomous Evaluation of Interaction Resource Adequateness for an Ambient Intelligence Usage Scenario -- 3.1 Evaluation of Interaction Resource Features for the Scenario -- 3.2 Calculating Adequateness of the Interaction Resources for the Scenario -- 4 Use Case Example -- 5 Conclusions -- Acknowledgments -- References -- Detection of the Student Creative Behavior Based on Diversity of Queries -- 1 Introduction -- 2 Background -- 3 Creative Search Behavior (Diversity-Q) -- 4 Experimental Setup -- 5 Results -- 6 Discussion and Limitations -- 7 Conclusion -- References -- Collaboration-Centred Cities Through Urban Apps Based on Open and User-Generated Data -- Abstract -- 1 Introduction -- 2 Related Work -- 3 The IES Cities Platform -- 3.1 IES Cities Architecture -- 3.2 IES Cities Operation -- 4 The Query Mapper -- 4.1 Mapping Data Sources -- 5 IES Cities-Aided Urban Apps -- 5.1 Apps Evaluation Methodology. 5.2 Zaragoza's Complaints and Suggestions App -- 6 Conclusion and Further Work -- References -- Ambient Intelligence for Transport -- Surveillance System for Isolated Public Road Transport Infrastructures -- 1 Introduction -- 2 Goals and Challenges -- 3 Related Works -- 4 System Description -- 4.1 Features -- 4.2 Entities (Elements of the Infrastructure) -- 4.3 Data Flow -- 5 Test Carried Out -- 6 Conclusion -- References -- ITS Architecture for Provision of Advanced Information Services for Public Transport by Road -- 1 Introduction -- 2 Goals and Challenges -- 3 Related Works -- 4 Architecture Description -- 5 Case of Use -- 6 Conclusion -- References -- Low-Cost Service to Predict and Manage Indoor Parking Spaces -- 1 Introduction -- 2 Related Works -- 2.1 Parking Prediction -- 2.2 Parking Availability with Low-Cost Sensors -- 3 CA-Based System to Predict Parking Occupancy -- 3.1 Prediction of Parking Occupancy -- 3.2 CA to Model Parking Occupancy -- 3.3 System Simulation Using Matlab -- 4 Smartphone-Based Service to Locate Parking Spaces -- 4.1 Server and Database -- 4.2 Smartphone-Based Indoor Positioning Solution -- 5 Functional Demonstration of Parking Locator -- 6 Conclusions -- References -- Detection and Report of Traffic Lights Violation Using Sensors and Smartphones -- 1 Introduction -- 2 Related Works -- 3 Security Scheme -- 4 Sensor Platform -- 5 User Application -- 6 Implementation Analysis -- 7 Conclusions -- References -- Detecting Aggressive Driving Behavior with Participatory Sensing -- 1 Introduction -- 2 The Driving Habits System -- 2.1 Using the System -- 2.2 Architecture -- 3 System Evaluation -- 3.1 Methods -- 3.2 Results -- 4 Conclusions and Future Work -- References -- Human Interaction and Ambient Intelligence -- Building Personalized Activity Recognition Models with Scarce Labeled Data Based on Class Similarities. 1 Introduction. EBL202104 XX SzGeCERN BOOK Fortino, Giancarlo Ochoa, Sergio F https://cds.cern.ch/auth.py?r=EBLIB_P_6303129 ebook n 202114 21 PUBLIC https://catalogue.library.cern/legacy/2761359 BOOK MIGRATED 2761343 SzGeCERN 20210421183943.0 9783030004101 electronic version electronic version 9783030004095 print version oai:cds.cern.ch:2761343 cerncds:BOOK EBL 6303073 eng QA76.5915 .I58 2018 004 Lin, Yi-Bing IoT as a service third international conference, IOTAAS 2017, Taichung, Taiwan, September 20-22, 2017, proceedings Cham Springer International Publishing AG 2018 403 p ebook Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 246 Intro -- Preface -- Conference Organization -- The Applications for IoT Sensor Bricks (Abstract of Poster and Demo) -- Contents -- IoTaaS Main Track -- Contention Window Size Adjustment in Unsaturated IEEE 802.11 WLANs -- Abstract -- 1 Introduction -- 2 Difficulties for Legacy 802.11 in Dense Environments -- 2.1 The Collision Problem -- 2.2 The Interference Between Channels -- 3 Simulation Results -- 4 Conclusions -- References -- Interoperability in Internet of Things Infrastructure: Classification, Challenges, and Future Work -- Abstract -- 1 Introduction -- 2 Interoperability Classification in IoT -- 3 Analysis of Current IoT Interoperability Platforms -- 3.1 Interoperability Among IoT Platforms -- 3.2 Interoperability Analysis Results -- 4 Conclusion -- References -- Orientation Training System for Elders with Dementia Using Internet of Things -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Research Method Procedure and Analysis -- 3.1 Node Signal Strength Positioning Design and Application -- 3.2 Hybrid Indoor Signal Location Algorithm Intelligent Cutting Positioning Design -- 3.3 Development of Temporal Orientation Training Mechanism for Dementia -- 4 Conclusion -- References -- Demand-Based Radio Resource Allocation for Device-to-Device Communications: A Game Approach -- Abstract -- 1 Introduction -- 2 Preliminaries -- 3 Demand-Based Radio Resource Allocation -- 4 Simulation Results -- 5 Conclusions -- Acknowledgment -- References -- A Cooperative RBAC-Based IoTs Server with Trust Evaluation Mechanism -- Abstract -- 1 Introduction -- 2 A Cooperative IoTs-Based RBAC Model -- 2.1 Basic Definitions of Cooperative IoTs-Based RBAC Model -- 2.2 Cooperative IoTs-Based RBAC Model -- 3 Discussions and Security Analysis -- 4 Conclusions -- Acknowledgements -- References -- Home Healthcare Matching Service System Using IoT -- Abstract. 1 Introduction -- 2 Cloud-Based Home Healthcare Service -- 2.1 General Description of Operations -- 2.2 Mobile App -- 2.3 The Cloud -- 3 Results and Discussion -- 4 Conclusion -- References -- Medical Internet of Things and Legal Issues Regarding Cybersecurity -- Abstract -- 1 Introduction -- 2 The Challenges Fall into Two Main Categories: Fiscal/Policy and Technology -- 3 Legal Issues to MIOT -- 4 Conclusions -- References -- Fuzzy-Based Protocol for Secure Remote Diagnosis of IoT Devices in 5G Networks -- 1 Introduction -- 2 Problem Definition -- 3 Network Model -- 4 Proposed Approach -- 4.1 Remote Diagnosis and Validation -- 4.2 Two-Pass Assessment Protocol for Remote Diagnosis and Validation -- 5 Performance Case Study -- 6 Conclusion -- References -- An Overview of 802.21a-2012 and Its Incorporation into IoT-Fog Networks Using Osmotic Framework -- 1 Introduction -- 2 Background to MIH Standards -- 2.1 802.21 MIH -- 2.2 802.21a-2012TM -- 3 Problem Statement and Our Contribution -- 4 Osmotic Framework for Dynamic IoT-Fog Networks -- 4.1 Key Management -- 4.2 Mobility-Aware Handoffs -- 5 Performance Case Study -- 6 Conclusion and Future Directions -- References -- A Distributed Power Control Scheme for the Mitigation of Co-Tier Downlink Interference for Femtocell in the Future 5G Networks -- Abstract -- 1 Introduction -- 2 System Model -- 3 Simulation Results and Discussion -- 4 Conclusion and Future Works -- Acknowledgment -- References -- Analyzing Traffic Characteristics and Performance for LTE Uplink Resource Allocation -- Abstract -- 1 Introduction -- 2 Previous Works -- 3 Characteristic Analysis of EWMA -- 4 Performance Evaluation -- 4.1 Method for Generating User Traffic Patterns -- 4.2 Simulation Environment and Results -- 5 Conclusion and Discussion -- Acknowledgements -- References. Reusing Resource Blocks by Efficient Grouping for D2D in LTE Networks -- Abstract -- 1 Introduction -- 1.1 Motivation -- 1.2 D2D Communications -- 1.3 Resource Reuse Schemes and Related Problems -- 1.4 LCF Clique Forming Scheme -- 1.5 Problems with LCF Clique Forming Scheme -- 2 Proposed Approach -- 3 Simulation Results -- 4 Conclusion and Future Works -- Acknowledgements -- References -- An IoT Platform for Smart Plant Care -- Abstract -- 1 The Plant Care System -- 2 Solutions for Connection Failure and Emergency Notification -- 2.1 Connection Failure Solution -- 2.2 Emergency Notification -- 3 Performance Evaluation -- 4 Conclusion -- Acknowledgements -- References -- Dandelion Mirror: An Interactive Visual Design Using IoTtalk -- Abstract -- 1 Introduction -- 2 IoTtalk Concept and Usage -- 3 The Dandelion Output Device -- 4 The Join Functions -- 5 Discussion and Conclusions -- Acknowledgements -- References -- Metaheuristic-Based Scheme for Spectrum Resource Schedule Over 5G IoT Network -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Problem Definition -- 4 SA Based Weight of Task Scheduling (SWTS) -- 5 Simulation Results -- 5.1 Simulation Setting -- 5.2 Results -- 6 Conclusion -- Acknowledgments -- References -- A Fuel-Efficient Route Plan App Based on Game Theory -- Abstract -- 1 Introduction -- 2 Fuel Consumption Estimation Method -- 3 Fuel-Efficient Route Plan App -- 3.1 Players -- 3.2 Scenarios and Candidate Strategies -- 3.2.1 Assumptions -- 3.2.2 Aspirational Vehicle Speed and Travel Time -- 3.2.3 The Cost Function of Each Player -- 3.3 The Best Response of Each Player -- 3.3.1 The Best Response of Player 1 -- 3.3.2 The Best Response of Player 2 -- 3.3.3 The Best Response of Player 3 -- 4 Numerical Analysis -- 5 Conclusions and Future Work -- Appendix A: Partial Differential Equation Proof. Appendix B: The Proof of Minimum Cost for Player 2 -- References -- Personalized Mobile Learning System via Smart Glasses -- Abstract -- 1 Introduction -- 2 Personalized Mobile Learning System -- 2.1 Determination of Front Views -- 2.2 Determination of Visual Focal Points -- 2.3 Teaching Material Design from Areas of Interest -- 3 Experimental Results -- 4 Conclusion -- Acknowledgments -- References -- Retransmission-Based Access Class Barring for Machine Type Communications -- 1 Introduction -- 2 Background and Related Work -- 3 System Model -- 4 Retransmission Based ACB Scheme -- 4.1 Problem Formulation -- 4.2 ACB Factor Update -- 5 Simulation Results -- 6 Conclusion -- References -- A Study on Online Corrosion Risk Perception Technology for Process Industry Safety IoTs Based on Demands of Assets Integrity Management -- Abstract -- 1 Introduction -- 2 Frame of the Online Corrosion Risk Perception Technology for Process Industry Safety IoTs -- 3 Principle and Design of Perception Sensor -- 3.1 Fundamental Principle of Perception Sensor -- 3.2 Precision Control and Radiation Dose Selection -- 4 Performance Test of Monitoring Sensor -- 4.1 Precision Examination Experiment of Bare Pipe and Coated Pipe -- 4.2 Identification and Quantitative Experiments for Boundary Layers in Various Working Conditions -- 5 Conclusions -- References -- A Machine Learning Based PM2.5 Forecasting Framework Using Internet of Environmental Things -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Airbox Data -- 3.2 Hybrid Model -- 3.3 Clustering Approach -- 4 Results and Evaluation -- 4.1 Evaluation -- 5 Conclusion and Future Work -- References -- Improved Single Packet Traceback Scheme with Bloom Filters -- 1 Introduction -- 2 Improved Single Packet Traceback Scheme with Bloom Filters -- 2.1 Packet Marking Scheme -- 2.2 Path Reconstruction -- 3 Conclusion. References -- Special Session: Wearable Technology and Applications (WTAA 2017) -- Using Nonverbal Information for Conversation Partners Inference by Wearable Devices -- 1 Introduction -- 2 Related Work -- 3 Conversation Partners Analysis -- 4 Performance Evaluation -- 5 Conclusion and Future Works -- References -- Enabling Over-The-Air Provisioning for Wearable Devices -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Over-The-Air Provisioning -- 2.2 Bluetooth Low Energy -- 2.3 oneM2M Technologies -- 3 Related Work -- 4 Architecture Design and Implementation -- 4.1 Tools for Architecture Design -- 4.2 Architecture Design of Over-The-Air Provisioning with IPE -- 4.3 Implementation of OTA Design -- 5 Experiment Results and Analysis -- 5.1 Applications Used for Evaluation -- 5.2 Evaluation Criteria -- 5.3 Experiment Results and Analysis -- 6 Conclusion and Future Work -- Acknowledgment -- References -- Multiple User Activities Recognition in Smart Home -- Abstract -- 1 Introduction -- 2 Related Work -- 3 System Architecture and Its Components -- 4 Experimental Results Under Different Detection Methods -- 5 Experimental Results Under Different Architectural Configurations -- 6 Conclusions and Future Work -- Acknowledgment -- References -- Special Session: Building Smart Machine Applications (BSMA 2017) -- D2D-Based Resource Saving and Throughput Enhancement for Massive Smart Devices in LTE eMBMS -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 LTE and LTE-Advanced -- 2.2 Device-to-Device Communications -- 2.3 LTE eMBMS -- 3 Proposed D2D-Based eMBMS Service -- 3.1 eMBMS Zone -- 3.2 Relay Selection -- 4 Performance Evaluation -- 5 Conclusion -- Acknowledgments -- References -- Intelligent Trashcan Applications Relying on Internet of Things Technologies -- Abstract -- 1 Introduction -- 2 System Architecture -- 2.1 System Structure. 2.2 Smart Trashcan. EBL202104 XX SzGeCERN BOOK Deng, Der-Jiunn You, Ilsun Lin, Chun-Cheng https://cds.cern.ch/auth.py?r=EBLIB_P_6303073 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2761343 BOOK MIGRATED 2761306 SzGeCERN 20210421183945.0 9783030047801 electronic version electronic version 9783030047795 print version oai:cds.cern.ch:2761306 cerncds:BOOK EBL 6302885 eng QA76.9.B45 .B54 2018 005.7 Mondal, Anirban Big data analytics 6th international conference, BDA 2018, Warangal, India, December 18-21, 2018, proceedings Cham Springer International Publishing AG 2018 429 p ebook Lecture notes in computer science 11297 Intro -- Preface -- Organization -- Contents -- Big Data Analytics: Vision and Perspectives -- Fault Tolerant Data Stream Processing in Cooperation with OLTP Engine -- 1 Introduction -- 2 Fault-Tolerance and State Management in Data Stream Processing -- 2.1 Motivation -- 2.2 Fault Tolerance in Data Stream Processing -- 2.3 State Management in Data Stream Processing -- 2.4 Literature Survey -- 2.5 Open Problems -- 3 Efficient and Flexible Data Stream Query Processing -- 3.1 Approximate Query Processing for Data Stream Processing -- 3.2 Query Processing on Uncertain/Probabilistic Data Streams -- 4 HTAP Technology and Data Stream Management -- 5 Objectives and Research Issues of Our Project -- 5.1 Objectives -- 5.2 Research Issues -- 6 Conclusions -- References -- Blockchain-Powered Big Data Analytics Platform -- 1 Introduction -- 2 The Case for AI-Driven Blockchain-Enabled Platform for Insurance Industry -- 3 Architecture of a Blockchain-Powered Big Data Platform -- 4 Scalable Blockchain Data Management -- 4.1 Technical Challenges -- 4.2 Scaling Blockchain Through Data Partitioning Technique -- 4.3 Transaction Processing Workflow -- 5 Introducing Federated AI for Insurance Marketplace Through Blockchain -- 5.1 Technical Challenges -- 5.2 Initial Solution -- 6 Blockchain Data Analytics -- 6.1 Improving Customer Satisfaction -- 6.2 Enhancing Business Operations -- 7 Conclusion -- References -- Humble Data Management to Big Data Analytics/Science: A Retrospective Stroll -- 1 Introduction -- 2 Traditional Data Management -- 2.1 Our Contributions -- 3 Data Warehouses -- 3.1 Our Contributions -- 4 Event and Stream Data Processing -- 4.1 Our Contributions -- 5 Data Mining or Knowledge Discovery in Databases -- 5.1 Our Contributions -- 6 Approaches to Big Data Analytics/Science -- 6.1 Data and Processing Scalability Using Map/Reduce. 6.2 Stream-Based Video Situation Analysis -- 6.3 Modeling and Analyzing Complex Data Using Multiplexes -- 7 Conclusions -- References -- Fusion of Game Theory and Big Data for AI Applications -- 1 Introduction -- 2 Game Theory Overview -- 2.1 Equilibrium -- 2.2 Mechanism Design - A Reverse Game Engineering Aka Incentive Engineering -- 3 Information Markets -- 4 Stackelberg Security Games (SSGs) -- 5 Trading Agents -- 6 Internet Ad Auction -- 7 Conclusions -- References -- Financial Data Analytics and Data Streams -- Distributed Financial Calculation Framework on Cloud Computing Environment -- Abstract -- 1 Introduction -- 2 Preliminaries and Background Information -- 3 Problem Statement, Related Work, Proposed Solution -- 3.1 Problem Statement -- 3.2 Related Work -- 3.3 Proposed Solution -- 4 Implementation -- 4.1 Current Architecture -- 4.2 Proposed Architecture -- 5 Results -- 6 Conclusion -- 7 Future Work -- References -- Testing Concept Drift Detection Technique on Data Stream -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Problem Formulation -- 4 Concept Drift Detection Procedure -- 5 Experiments -- 5.1 SEA -- 5.2 Hyperplane -- 6 Future Work -- 7 Conclusion -- References -- Homogenous Ensemble of Time-Series Models for Indian Stock Market -- Abstract -- 1 Introduction -- 2 Problem Statement -- 3 Proposed Method -- 3.1 Univariate Analysis -- 3.2 Multivariate Analysis -- 3.3 Ensemble Technique -- 4 Results and Discussions -- 5 Conclusion -- References -- Improving Time Series Forecasting Using Mathematical and Deep Learning Models -- Abstract -- 1 Introduction -- 1.1 Time Series and Stationarity -- 1.2 Techniques to Make Time Series Stationary -- 2 Related Work -- 3 Methodology: Case Study - Wikipedia Web Traffic -- 3.1 Dataset -- 3.2 Implementation -- 3.3 Time Series Log Transformation -- 3.4 Differencing -- 3.5 Decomposition. 3.6 Augmented Dickey Fuller Test - Stationarity Test -- 3.7 Auto Regressive Model -- 3.8 Moving Average Model -- 3.9 Auto Regressive Integrated Moving Average Model -- 3.10 Long Short-Term Memory (LSTM) Network -- 3.11 Testing of Data -- 4 Result -- 5 Discussion -- 6 Conclusion/Future Scope -- References -- Emerging Technologies and Opportunities for Innovation in Financial Data Analytics: A Perspective -- 1 Introduction -- 2 Macro-environmental Trends in Financial Services -- 2.1 Political/Legal Trends -- 2.2 Economic Trends -- 2.3 Socio-Cultural/Demographic Trends -- 3 Applications and Use-Cases -- 3.1 Blockchain in Financial Services -- 3.2 AI in Financial Services -- 3.3 Machine Learning in Financial Services -- 4 Research Challenges and the Way Forward -- References -- Web and Social Media Data -- Design of the Cogno Web Observatory for Characterizing Online Social Cognition -- 1 Introduction -- 2 Related Literature -- 3 Modeling Social Cognition -- 4 Identifying Opinion Drivers on Social Media -- 5 Conclusions and Future Work -- References -- Automated Credibility Assessment of Web Page Based on Genre -- 1 Introduction -- 2 Approach -- 2.1 Survey -- 2.2 Survey Results and Analysis -- 2.3 Credibility Assessment -- 3 Scoring, Results and Validation -- 3.1 WEBCred -- 3.2 Validation -- 4 Conclusions and Future Work -- References -- CbI: Improving Credibility of User-Generated Content on Facebook -- 1 Introduction -- 2 Related Work -- 2.1 Credibility Assessment of Content on Twitter -- 2.2 Credibility Assessment of Content on Facebook -- 3 Credibility Assessment of User-Generated Content on Facebook -- 3.1 Proposed Credibility Assessment Model -- 3.2 Credibility Assessment Tools -- 4 Data Collection and Labeled Dataset Creation -- 4.1 Data Collection -- 4.2 Labeled Dataset Creation -- 5 Automatic Credibility Assessment. 5.1 Facebook's Current Techniques to Identify Fake News -- 5.2 Credibility Assessment Features -- 5.3 Classification Algorithms -- 6 Conclusion, Limitations, and Future Work -- References -- A Parallel Approach to Detect Communities in Evolving Networks -- 1 Introduction -- 2 Prior Research -- 3 PcDEN: An Incremental Parallel Community Detection Approach -- 3.1 A New Similarity Measure for Parallel Community Detection -- 3.2 A Proposed Parallel Approach -- 3.3 Community Finding in Each Worker -- 3.4 Finding High and Low Degree Nodes -- 3.5 Selection of High Degree Nodes in a Community per Worker -- 3.6 Selection of Low Degree Nodes in a Community per Worker -- 3.7 Merging Communities from Different Workers -- 4 Performance Evaluation -- 4.1 Dataset Used -- 4.2 Experimental Results -- 4.3 Scalability -- 5 Conclusion -- References -- Modeling Sparse and Evolving Data -- Abstract -- 1 Introduction -- 2 State-of-the-Art -- 3 Modeling Sparse and Evolving Data -- 3.1 Incapacitating Sparseness -- 3.2 Building Translation Layer -- 3.3 Handling Complex Queries -- 4 MTEAV: Extended Functionality -- 4.1 Need of Extension -- 4.2 Abstracting Modeling Details -- 4.3 Flexibility to Evolve Schema -- 5 Experiments and Results -- 5.1 MTEAV Versus Existing Models -- 5.2 Effect of Sparseness -- 6 Conclusions -- References -- Big Data Systems and Frameworks -- Polystore Data Management Systems for Managing Scientific Data-sets in Big Data Archives -- Abstract -- 1 Introduction -- 2 Palomar Transient Factory (PTF) Data Repository -- 2.1 PTF Data Processing Requirements -- 2.2 IRSA Cloud Service and Archive -- 2.3 Querying Over Cloud-Data Resources of IRSA -- 3 Polystore Data Management System -- 3.1 Common Architecture of Polystore Database System -- 3.2 Need for Polystore Databases -- 3.3 Query Using Polystore Data Management Systems. 4 Polystore Data Management System for PTF Data Archives -- 4.1 Data Integration Processes and Data Independence -- 5 Summary and Conclusions -- References -- MPP SQL Query Optimization with RTCG -- 1 Introduction -- 2 Background -- 3 Related Work in Databases -- 4 dbX Architecture -- 5 Code Generation: Model -- 5.1 SQL Opportunities -- 5.2 Modern Hardware -- 5.3 Optimization Techniques -- 6 Code Generation: Meta-Questions -- 6.1 To RTCG or Not? -- 6.2 When and Where to RTCG? -- 6.3 What if SQL Is Machine Generated? -- 6.4 How to Compile? -- 6.5 Why Not libJIT or LLVM? -- 6.6 Who Takes the Kill? -- 7 Experimental Evaluation -- 7.1 Microbenchmarks -- 7.2 Macrobenchmarks: TPC-H &amp -- TPC-DS -- 8 Discussion and Conclusion -- References -- Big Data Analytics Framework for Spatial Data -- Abstract -- 1 Introduction -- 1.1 Novelty and Contributions -- 2 Related Work -- 2.1 Traditional Databases for Spatial Data -- 2.2 NoSQL Databases for Spatial Data -- 2.2.1 Cassandra for Spatial Data -- 2.3 Big Data Computational Frameworks for Spatial Data -- 2.3.1 Spark for Spatial Data -- 2.4 Shortcomings of the Existing Systems for Big Spatial Data -- 3 Integration of Big Data Frameworks - Spark and Cassandra -- 3.1 Spark-Cassandra Connector -- 3.1.1 Architecture Implementation -- 4 Proposed Framework -- 4.1 Spatial Data Storage Layer -- 4.1.1 Data Loading -- 4.1.2 Data Storage -- 4.1.3 Align Spark-Cassandra Distribution -- 4.1.4 Associate Spatial Index -- 4.1.5 Store Spatial Dataframe into Cassandra -- 4.2 Spark Core Layer -- 4.3 Spatial Data Processing Layer -- 4.3.1 Proximity Search -- 4.3.2 KNN Search -- 4.3.3 Point Query -- 4.4 Application Layer -- 5 Experimental Results and Discussion -- 5.1 Experimental Setup -- 5.2 Description of Dataset -- 5.3 Results -- 5.3.1 Load Data into Cassandra -- 5.3.2 Establish Analytics Pipeline -- 5.3.3 Attribute Query Analysis. 5.3.4 Point Query Analysis. EBL202104 XX SzGeCERN EBL Big data-Congresses BOOK Gupta, Himanshu Srivastava, Jaideep Reddy, P Krishna Somayajulu, D V L N https://cds.cern.ch/auth.py?r=EBLIB_P_6302885 ebook n 202114 202104 21 PUBLIC https://catalogue.library.cern/legacy/2761306 BOOK MIGRATED 2761254 SzGeCERN 20210421183947.0 9783642355332 electronic version electronic version 9783642355325 print version oai:cds.cern.ch:2761254 cerncds:BOOK EBL 6302658 eng Q335 .H365 2013 005.1 Hao, Jin-Kao Artificial evolution 10th international conference, evolution artificielle, EA 2011, Angers, France, October 24-26, 2011, revised selected papers Berlin Springer 2012 241 p ebook Lecture notes in computer science 7401 Intro -- Title -- Preface -- ´Evolution Artificielle 2011 - EA 2011 -- Invited Talks -- Table of Contents -- Ant Colony Optimization -- An Immigrants Scheme Based on Environmental Information for Ant Colony Optimization for the Dynamic Travelling Salesman Problem -- Introduction -- DTSP with the Traffic Jam -- ACO for the DTSP -- Standard ACO -- Population-Based ACO -- Immigrants Based on Environmental Information -- Simulation Experiments -- Experimental Setup -- Experimental Results and Analysis -- Conclusions and Future Work -- References -- Multi-Objective Optimization -- A Surrogate-Based Intelligent Variation Operator for Multiobjective Optimization -- Introduction -- Background -- Surrogate-Based Intelligent Variation Operator (SIVO) -- Selection in the Objective Space of the New Solutions to Be Created -- Creation and Optimization of the Local Surrogate Model -- Surrogate Assisted Optimizer (SAO) -- SAO Results -- The NSGA-II + SIVO -- Comparison of Results -- Conclusions -- References -- The Relationship between the Covered Fraction,Completeness and Hypervolume Indicators -- Introduction -- Approaches to MO Performance Assessment -- Attainment Function Approach -- Quality Indicator Approach -- Covered Fraction Indicator -- Definition -- Expected Value -- Completeness Indicator -- Definition -- Expected Value -- Hypervolume Indicator -- Definition -- Expected Value -- Discussion -- Concluding Remarks -- References -- Analysis -- A Rigorous Runtime Analysis for Quasi-Random Restarts and Decreasing Stepsize -- Introduction -- Mathematical Background -- Theoretical Analysis of a Simple Restart Strategy -- Experimental Results -- Constant Initial Step-Size Is Dangerous -- Validating Quasi-Random Sequences -- Comparison with Modified Clearing -- Conclusion -- References -- Local Optima Networks with Escape Edges -- Introduction. Definitions and Algorithms -- Nodes -- Basin-Transition Edges -- Escape Edges -- Local Optima Network -- Comparative Analysis of the LON Models -- Network Features and Connectivity -- Characterization of Weights -- Model Validation: Local Search Dynamics -- Experiment Setup -- Results -- Concluding Remarks -- References -- Visual Analysis of Population Scatterplots -- Introduction -- Visualisation of EA Data -- On-line Visualisation -- Off-Line Visualisation -- ScatterDice / GraphDice -- Analysing Successive Populations -- Analysing an Evolved Population -- Classical Optimisation in R2 -- Cooperative Coevolution of a Set of 3D Points -- Conclusion and Future Work -- References -- Implementation and Robotics -- An On-Line On-Board Distributed Algorithm for Evolutionary Robotics -- Introduction -- Related Work -- Algorithms -- (+1) on-line -- evag -- Experiments -- Evaluation with Parameter Tuning -- Results and Discussion -- Conclusion -- References -- Improving Performance via Population Growth and Local Search: The Case of the Artificial Bee Colony Algorithm -- Introduction -- Related Work -- An Artificial Bee Colony Algorithm with Population Growth and Local Search -- The Artificial Bee Colony Algorithm -- Integrating Population Growth and Local Search -- Experimental Setup -- Results -- Discussion -- Conclusions -- References -- Two Ports of a Full Evolutionary Algorithm onto GPGPU -- Introduction -- Related Works -- Parellization of Evolutionary Algorithms onto GPGPU -- DISPAR: A Parallel Remplacement Operator -- CUDA Hardware -- EAs on GPGPUs -- DISPAR GPU Evolutionary Algorithm -- Generational Algorithm -- Experiments -- Benchmarks -- Conclusion and Future Works -- References -- Combinatorial Optimization -- A Multilevel Tabu Search with Backtracking for Exploring Weak Schur Numbers -- Introduction -- Mathematical Description -- Tabu Search. Detailed Framework -- Problem Description and Multilevel Paradigm -- Multilevel Tabu Search with Backtracking -- Experimental Results -- Experimental Setting -- Results and Analysis -- Conclusions -- References -- An Improved Memetic Algorithm for the Antibandwidth Problem -- Introduction -- Relevant Existing Procedures -- An Improved Memetic Algorithm -- Search Space, Representation and Fitness Function -- General Procedure -- Initializing the Population -- Selection Mechanisms -- Recombination Operators -- Mutation Operator -- Local Search Operator -- Computational Experiments -- Benchmark Instances and Comparison Criteria -- Components and Parameters Tunning -- Comparison between IMA and MAAMP -- Conclusions and Further Work -- References -- Learning and Parameter Tuning -- Adaptive Play in a Pollution Bargaining Game -- Introduction -- Model -- The Pollution Game -- The Bargaining Game -- Adaptive Play -- Stochastic Stability -- Simulations -- Experimental Setup -- Results -- Conclusions and Outlook -- References -- Learn-and-Optimize: A Parameter Tuning Frameworkfor Evolutionary AI Planning -- Introduction -- AI Planning and Divide-and-Evolve -- Learn-and-Optimize for Parameter Tuning -- The General LaO Framework -- An Implementation of LaO -- Results -- Conclusions and Future Work -- References -- New Nature Inspired Models -- A Model Based on Biological Invasions for Island Evolutionary Algorithms -- Introduction -- Related Works -- IM-dEA Scheme -- Experiments -- IM-dDE Behavior and Its Motivations -- Conclusions and Future Works -- References -- A Multi-objective Particle Swarm Optimizer Enhanced with a Differential Evolution Scheme -- Introduction -- Basic Concepts -- Particle Swarm Optimization -- Differential Evolution -- Analysis of MOPSO and MODE -- Velocity on MOPSO -- Distance of Movement -- Our Proposal -- Leader Selection Scheme. The Use of the Velocity -- Moving towards an Specific Leader -- The Algorithm of Our Proposed Approach -- Experimental Study -- Conclusions and Future Work -- References -- Probabilistic Algorithms -- Evolution of Multisensory Integration in Large Neural Fields -- Introduction -- Methods -- The NEATfields Method -- Selection Methods -- Tasks -- The "Scan/Lift" Task -- The "Conditional Scan" Task -- A Multisensory Classification Task -- Increasing Spatial Accuracy by Sensorimotor Integration -- Results -- Discussion -- References -- Reducing the Learning Time of Tetris in Evolution Strategies -- Introduction -- Learning Tetris Strategies -- Racing for Stochastic Optimization -- Learning Tetris with CMA-ES and Racing -- Experiments -- Results and Discussions -- Further Thoughts -- Conclusions -- References -- Theory and Evolutionary Search -- Black-Box Complexity: Breaking the O(n log n) Barrier of LeadingOnes -- Introduction -- Preliminaries -- On LeadingOnes n in the Unrestricted Model -- The Unbiased Black-Box Complexity of LeadingOnes n -- LeadingOnes n in the Ranking-Based Models -- Conclusions -- References -- Applications -- Imperialist Competitive Algorithm for Dynamic Optimization of Economic Dispatch in Power Systems -- Introduction -- Economic Power Dispatch Problem -- Economic Dispatch Concept -- Objective, Constraints and Hypotheses -- Problem Characteristics -- Optimization Algorithms for This Problem -- Imperialist Competitive Algorithm -- Performance on Mathematical Problems -- Simulations for the Economic Dispatch Problem -- Microgrid Test -- Fuel Cell Power Plant Test -- Conclusion and Future Work -- References -- Author Index. EBL202104 XX SzGeCERN EBL Computer science EBL Artificial intelligence BOOK Legrand, Pierrick Collet, Pierre Monmarché, Nicolas Lutton, Evelyne Schoenauer, Marc https://cds.cern.ch/auth.py?r=EBLIB_P_6302658 ebook n 202114 21 PUBLIC https://catalogue.library.cern/legacy/2761254 BOOK MIGRATED 2767776 SzGeCERN 20210527235055.0 DOI IOP 10.1088/1361-6455/abf6b6 oai:inspirehep.net:1863683 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS HAL hal-03229376 http://old.inspirehep.net/oai2d 2021-05-27T04:00:05Z marcxml oai:inspirehep.net:1863683 2021-05-26T13:53:30Z Inspire 1863683 eng Mariazzi, S ORCID:0000-0001-9985-8792 Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy IOP High-yield thermalized positronium at room temperature emitted by morphologically tuned nanochanneled silicon targets 2021 11 p IOP Nanochanneled silicon targets with high positron/positronium (Ps) conversion rate and efficient Ps cooling were produced. Morphological parameters of the nanochannels, such as their diameter and length, were adjusted to get a large fraction of thermalized Ps at room temperature being emitted into vacuum. Ps cooling measurements were conducted combining single-shot positron annihilation lifetime spectroscopy and Doppler spectroscopy of the 13S → 23P transition. 2γ–3γ annihilation ratio measurements were also performed to estimate the positron/Ps conversion efficiency. In a converter with nanochannel diameter of 7–10 nm and depth of 3.89 μm, ∼28% of implanted positrons with an energy of 3.3 keV was found to be emitted as Ps with a transverse kinetic energy of 11 ± 2 meV. The reduction of the nanochannels depth to 1.13 μm, without changing the nanochannel diameter, was found to result in a less efficient cooling, highlighting the presence of Ps reflection from the bottom end of nanochannels. CC-BY-4.0 IOP https://creativecommons.org/licenses/by/4.0/ The Author(s) 2021 SzGeCERN Physics in General CERN CERN AEgIS Caravita, R TIFPA-INFN, Trento Zimmer, C CERN Heidelberg U. Oslo U. Department of Physics, Heidelberg University, Im Neuenheimer Feld 226, 69120 Heidelberg, Germany Rienäcker, B ORCID:0000-0002-3836-7030 CERN Camper, A ORCID:0000-0002-8664-3693 Oslo U. Belov, A Moscow, INR Bonomi, G ORCID:0000-0003-1618-9648 Brescia U. INFN, Brescia INFN Pavia, via Bassi 6, 27100 Pavia, Italy Brusa, R S Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Castelli, F INFN, Milan Milan U. Department of Physics ‘Aldo Pontremoli’, University of Milano, via Celoria 16, 20133 Milano, Italy Consolati, G ORCID:0000-0003-3614-245X INFN, Milan Milan Polytechnic Department of Aerospace Science and Technology, Politecnico di Milano, via La Masa 34, 20156 Milano, Italy Doser, M CERN Gjersdal, H Oslo U. Glöggler, L T CERN Guatieri, F Trento U. Forschungsreaktor Munich FRM II, Technische Universität München, 85747 Garching, Germany Haider, S CERN Matveev, V Moscow, INR Dubna, JINR Joint Institute for Nuclear Research, Dubna 141980, Russia Nebbia, G INFN, Padua Nedelec, P Lyon, IPN Pagano, D Brescia U. INFN, Brescia INFN Pavia, via Bassi 6, 27100 Pavia, Italy Penasa, L Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Petracek, V CTU, Prague Prelz, F INFN, Milan Povolo, L ORCID:0000-0003-1451-1947 Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Rhøne, O M Oslo U. Rotondi, A INFN, Brescia Pavia U. Department of Physics, University of Pavia, via Bassi 6, 27100 Pavia, Italy Sandaker, H Oslo U. Zurlo, N INFN, Brescia Brescia U. Stanford U., Civil Eng. Dept. Department of Civil, Environmental, Architectural Engineering and Mathematics, University of Brescia, via Branze 43, 25123 Brescia, Italy AEgIS Collaboration 085004 8 2021 J. Phys. B 54 2295655 2106716 http://cds.cern.ch/record/2767776/files/10.1088_1361-6455_abf6b6.pdf Fulltext 13 ARTICLE 2767241 20260313143915.0 oai:cds.cern.ch:2767241 cerncds:TALK eng Various CERN. Geneva 2020-06-23T16:00:00 OpenBreath Lung Ventilator: a low-cost, stand-alone response to pandemic outbreaks - 928440 2020-06-23T17:30:00 OpenBreath Lung Ventilator: a low-cost, stand-alone response to pandemic outbreaks 2020 2020-06-23 3213 Streaming video KT Seminars 2020-06-23T16:00:00 <!--HTML--><p><strong><img alt="" src="https://indico.cern.ch/event/928440/images/28969-openbreath.png" style="height:333px; width:500px" /></strong></p> <p>&nbsp;</p> <p><strong>Please check this page for updates. During the seminar, in case of technical issues, we will&nbsp;post information here. Thank you!</strong></p> <p>&nbsp;</p> <p><span><span><strong><span><span><span style="color:black">Abstract</span></span></span></strong><span><span><span style="color:black">: The recent COVID-19 pandemic outbreak has brought to light, among other problems, a critical lack of mechanical ventilation devices in the intensive-care units worldwide. This is even more true in less-developed countries, whose national health systems suffer from an endemic difficulty in acquiring high-end medical devices. The OpenBreath project aims at addressing this problem by devising a low-cost, fully functional, open-source lung ventilator, easily manufacturable with off-the-shelf components and simple materials. This allows the ventilator to be quickly produced even in settings that lack the manufacturing capabilities of highly industrialized regions. The ventilator is based on the automation of a self-inflatable resuscitation device, a Bag-Valve-Mask (BVM). Therefore, the pneumatic component of the ventilator is embedded in the device, enabling stand-alone operation in critical contexts where pressurized hospital air is inaccessible. Sophisticated electronic controls, based on pressure and flow-rate sensors, enable the device to deliver all fundamental intensive-care ventilatory functions that commercial high-end hospital respirators possess. Full redundancy is ensured by design for both the mechanics and the electronics, making the ventilator fail-safe and reliable in the long term with minimal maintenance. Its simplicity of use and its robustness make the OpenBreath ventilator a perfect low-cost and reliable response to all those scenarios in which, due to environmental, economical or poor healthcare system conditions, additional mechanical ventilation is unavailable or impossible to provide with traditional methods.</span></span></span></span></span></p> <p><a href="https://www.openbreath.it/en/">https://www.openbreath.it/en/</a></p> <p><span><span><span><span><span style="color:black">This will be an online seminar via Zoom. Please click the link below to join the webinar:&nbsp;<br /> <a href="https://cern.zoom.us/j/98691398200?pwd=c0NJTHJGTFJDdjhhcHc1cmFUQWNKUT09">https://cern.zoom.us/j/98691398200?pwd=c0NJTHJGTFJDdjhhcHc1cmFUQWNKUT09</a></span></span></span></span></span><br /> <span><span><span><span><span style="color:black">Password: OpenBreath</span></span></span></span></span></p> <p>If you have any questions during the webinar please don't hesitate to type them in the Q and A box.&nbsp;They will be answered after the speaker has finished the talk. If you would like to ask a question orally or join in the discussion after the talk, please use the 'raise your hand' function and we will unmute your microphone.</p> <p><span><span>To be kept informed of KT Seminars please </span></span><span><span>sign up at: <a href="http://cern.ch/go/F9cX" target="_blank"><span><span style="color:#365899">http://cern.ch/go/F9cX</span></span></a></span></span></p> CERN 2020 KT Seminars Event TALK CERN https://indico.cern.ch/event/928440/ Event details MediaArchive /mnt/master_share/master_data/2020/928440 Absolute master path MediaArchive /2020/928440/928440_en.vtt subtitle subtitle English MediaArchive /2020/928440/928440_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2020/928440/928440-posterframe-640x360-at-5.0-percent.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2020/928440/928440-1000-kbps-853x480-25-fps-audio-96-kbps-44-kHz-stereo.mp4 video/mp4 Content: presenter. Resolution: 853x480. Baudrate: 1000 MediaArchive https://lecturemedia.cern.ch/2020/928440/928440-2000-kbps-1280x720-25-fps-audio-96-kbps-44-kHz-stereo.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 2000 MediaArchive https://lecturemedia.cern.ch/2020/928440/928440-4000-kbps-1920x1080-25-fps-audio-96-kbps-44-kHz-stereo.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 4000 MediaArchive https://lecturemedia.cern.ch/2020/928440/928440-512-kbps-426x240-25-fps-audio-96-kbps-44-kHz-stereo.mp4 video/mp4 Content: presenter. Resolution: 426x240. Baudrate: 512 MediaArchive https://lecturemedia.cern.ch/2020/928440/928440-800-kbps-640x360-25-fps-audio-96-kbps-44-kHz-stereo.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 800 helen.dixon-altaber@cern.ch 2021-05-21T08:52:24 2020-06-10T09:41:40 PUBLIC INDICO.928440 https://videos.cern.ch/legacy/record/2767241 Indico SSW MIGRATED 2766081 SzGeCERN 20210510140457.0 DOI SISSA 10.22323/1.364.0164 oai:inspirehep.net:1830812 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN INSPIRE:HEP ForCDS HAL hal-03047554 http://old.inspirehep.net/oai2d oai:inspirehep.net:1830812 2021-05-07T04:18:01Z 2021-05-07T06:23:06Z marcxml Inspire 1830812 eng Rigoletti, Gianluca Lyon U. SISSA Studies of RPC detector operation with eco-friendly gas mixtures under irradiation at the CERN Gamma Irradiation Facility SISSA 2020 7 p SISSA Resistive Plate Chamber (RPC) detectors are widely used at the CERN LHC experiments as muon trigger thanks to their excellent time resolution. They are operated with a Freon-based gas mixture containing $C_2 H_2 F_4$ and $SF_6$, both greenhouse gases (GHG) with a very high global warming potential (GWP).The search of new environmentally friendly gas mixtures is necessary to reduce GHG emissions and costs as well as to optimize RPC performance.Several recently available gases with low GWP have been identified as possible replacements for $C_2 H_2 F_4$ and $SF_6$.In particular, eco-friendly gas mixtures based on the HFO-1234ze have been investigated on 1.4 and 2 mm single-gap and double-gap RPCs.The RPC detectors have been tested at the CERN Gamma Irradiation Facility (GIF++), which provides a high energy muon beam combined with an intense gamma source allowing to simulate the background expected at HL-LHC.The performance of RPCs were studied at different gamma rates with the new environmentally friendly gases by measuring ohmic and physics currents, fluorine radicals and HF production, rate capability and induced charge.Preliminary results on the long-term effects on the performance of the detectors are presented in this study. CC-BY-NC-ND-4.0 SISSA https://creativecommons.org/licenses/by-nc-nd/4.0/ The Authors SzGeCERN Detectors and Experimental Techniques CERN ARTICLE Aielli, Giulio Rome U., Tor Vergata Alberghi, Gian Luigi INFN, Bologna Benussi, Luigi Frascati Bianchi, Antonio INFN, Turin Turin U. Bianco, Stefano Frascati Stante, Luigi Di Rome U., Tor Vergata Boscherini, Davide INFN, Bologna Bruni, Alessia INFN, Bologna Camarri, Paolo Rome U. Cardarelli, Roberto INFN, Rome2 Corbetta, Mara Lyon U. Delsanto, Silvia INFN, Turin Turin U. Di Ciaccio, Anna Rome U., Tor Vergata Dupieux, Pascal Clermont-Ferrand U. Eysermans, Jan Puebla U., Mexico Ferretti, Alessandro INFN, Turin Turin U. Ferrini, Mauro Rome U. Gagliardi, Martino INFN, Turin Turin U. Gelmi, Andrea INFN, Bari Guida, Roberto CERN INFN, Pavia Pavia U. Joly, Baptiste Clermont-Ferrand U. Liberti, Barbara INFN, Rome2 Mandelli, Beatrice CERN Manen, Samuel Pierre Clermont-Ferrand U. Micheletti, Luca INFN, Turin Turin U. Passamonti, Luciano Frascati Pastori, Enrico INFN, Rome2 Piccolo, Davide Frascati Pierluigi, Daniele Frascati Polini, Alessandro INFN, Bologna Pugliese, Gabriella INFN, Bari Quaglia, Luca INFN, Turin Turin U. Russo, Alessandro Frascati Salvini, Paola INFN, Pavia Santonico, Rinaldo Rome U., Tor Vergata Saviano, Giovanna Rome U. Terlizzi, Livia INFN, Turin Turin U. Tytgat, Michael Gent U. Vercellin, Ermanno INFN, Turin Turin U. Zaganidis, Nikolaos Gent U. 1830715 164 PoS EPS-HEP2019 C19-07-10.1 2020 2292456 545127 http://cds.cern.ch/record/2766081/files/PoS(EPS-HEP2019)164.pdf Fulltext 13 2679151 164 ghent20190710 ARTICLE ConferencePaper 2772367 20231208231433.0 oai:cds.cern.ch:2772367 cerncds:FULLTEXT BUL-SA-2021-036 en fr CERN ECO ACTIONS CLUB CERN ECO ACTIONS CLUB CLUB ECO-ACTIONS DU CERN 2021 10/06/2021 <!--HTML--> <p><strong>2021 CERN Eco-Actions Club Environmental Hackathon!</strong></p> <p>Join us to practice your programming skills and save the planet! All skill levels are welcome.</p> <p>This is a two part virtual event:</p> <p><strong>Topic: Accelerating CERN&rsquo;s Circular Economy</strong></p> <p>Create open source apps, platforms, objects, or communication tools that promote reusability and waste reduction and associated skills in the CERN/Geneva community.</p> <ul> <li><strong>Friday, June 18</strong>: Introduction & Brainstorming Session - Participants discuss and propose projects and form teams;</li> <li><strong>Saturday, June 26 - Sunday June 27</strong>: Hackathon Event - Teams develop and present their project prototypes.</li> </ul> <p>The link to the Indico event and sign up is <a href="https://indi.to/eco-actions-hackathon" target="_blank">here</a>.</p> <p>The hackathon will take place on Zoom. Cost of the event is free. Winning projects will be continued by the CERN Eco-Actions Club in addition to other prizes!</p> <p><strong>We hope you will join us and invite your friends!</strong></p> <p>&nbsp;</p> <p><strong><a href="https://cds.cern.ch/record/2772367/files/eco-actions-hackathon-ad2_1_image.jpg" target="_blank"><img alt="" src="https://cds.cern.ch/record/2772367/files/eco-actions-hackathon-ad2_1_image.jpg?subformat=icon" style="float:left; height:413px; margin:5px; width:550px" /></a></strong></p> <!--HTML--> <p><strong>2021 Hackathon environnemental du Club Eco-Actions du CERN !</strong></p> <p>Rejoignez-nous et mettez en pratique vos comp&eacute;tences en programmation et sauver la plan&egrave;te! Tous les niveaux de comp&eacute;tence sont les bienvenus.</p> <p>Il s&#39;agit d&#39;un &eacute;v&eacute;nement virtuel en deux parties:</p> <p><strong>Th&egrave;me: Acc&eacute;l&eacute;rer l&rsquo;&eacute;conomie circulaire du CERN</strong></p> <p>Cr&eacute;ez des applications, des plates-formes, des objets ou des outils de communication open source qui favorisent la r&eacute;silience, la r&eacute;duction des d&eacute;chets et les comp&eacute;tences associ&eacute;es dans la communaut&eacute; CERN / Gen&egrave;ve.</p> <ul> <li><strong>Vendredi 18 juin</strong>: Introduction et s&eacute;ance de brainstorming - Les participants discutent et proposent des projets et forment des &eacute;quipes&nbsp;;</li> <li><strong>Samedi 26 juin</strong> <strong>- dimanche 27 juin</strong>: Hackathon Event - Les &eacute;quipes d&eacute;veloppent et pr&eacute;sentent leurs prototypes de projets.</li> </ul> <p>Le lien vers l&#39;&eacute;v&eacute;nement Indico et l&#39;inscription est le <a href="https://indi.to/eco-actions-hackathon" target="_blank">suivant</a>.</p> <p>&nbsp;Le Hackathon se d&eacute;roulera via Zoom. L&#39;&eacute;v&eacute;nement est gratuit. Les projets gagnants seront poursuivis par le CERN Eco-Actions Club en plus d&#39;autres prix!</p> <p><strong>Nous esp&eacute;rons que vous vous joindrez &agrave; nous et inviterez vos amis!</strong></p> <p><strong><a href="https://cds.cern.ch/record/2772367/files/eco-actions-hackathon-ad2_1_image.jpg" target="_blank"><img alt="" src="https://cds.cern.ch/record/2772367/files/eco-actions-hackathon-ad2_1_image.jpg?subformat=icon" style="float:left; height:413px; margin:5px; width:550px" /></a></strong></p> NO noicon ONLINE 3 23/2021 CERN Bulletin 3 24/2021 CERN Bulletin 2301695 111241 http://cds.cern.ch/record/2772367/files/eco-actions-hackathon-ad2_1_image.jpg 2301695 45965 http://cds.cern.ch/record/2772367/files/eco-actions-hackathon-ad2_1_image.jpg?subformat=icon icon bulletin-editors@cern.ch lenka.thomas.bajbarova@cern.ch BULLETINSTAFF 2771694 20210612015831.0 oai:cds.cern.ch:2771694 cerncds:FULLTEXT cerncds:cms-pas Inspire 1868060 CMS-PAS-TOP-18-012 Measurement of the shape of the b quark fragmentation function using charmed mesons produced inside b jets from $\mathrm{t}\bar{\mathrm{t}}$ pair decays CMS Collaboration CMS Collaboration CERN LHC CMS 2021 Geneva CERN CERN CMS Monte-Carlo A determination of the shape parameter of the Lund-Bowler fragmentation function for b quarks is presented. The analysis uses charm mesons produced inside b jets from $\mathrm{t}\bar{\mathrm{t}}$ pair decays in a data sample collected by the CMS experiment at the LHC at $\sqrt{s}=13~\mathrm{TeV}$, corresponding to an integrated luminosity of $35.9~\mathrm{fb}^{-1}$. Samples of D$^{0}$ and J/$\psi$ mesons are reconstructed from the decays D$^{0} \to$ K$^{\pm} \pi^{\mp}$and J/$\psi \to \mu^{+}\mu^{-}$ using charged particle track information. The reconstructed mesons are used as proxies for their parent B hadrons. The corresponding $x_{b}$ distributions, where $x_{b}$ is the fraction of the total transverse momentum of the charged constituents of the jet carried by the charm meson, are fitted to extract the value of the fragmentation function shape parameter, $r_{b}$. A value of $r_{b}= 0.858 \pm 0.037 (\mathrm{stat}) \pm 0.031 (\mathrm{syst})$ is obtained. This is the first measurement of the b quark fragmentation function in $\mathrm{t}\bar{\mathrm{t}}$ events at the LHC, and significantly improves the experimental constraints on the shape of the function. From a comparison with results at the Z pole in e$^{+}$e$^{-}$ data, no evidence for an environmental dependence of the fragmentation function is observed. http://cms.cern.ch/iCMS/analysisadmin/cadi?ancode=TOP-18-012 Additional information for the analysis (restricted access) 2301015 435173 http://cds.cern.ch/record/2771694/files/TOP-18-012-pas.pdf Fulltext in PDF 2301011 15023 http://cds.cern.ch/record/2771694/files/Figure_003-a.pdf Figure_003-a Figure 2301012 14949 http://cds.cern.ch/record/2771694/files/Figure_003-c.pdf Figure_003-c Figure 2301013 15345 http://cds.cern.ch/record/2771694/files/Figure_003-b.pdf Figure_003-b Figure 2301014 16577 http://cds.cern.ch/record/2771694/files/Figure_004-a.pdf Figure_004-a Figure 2301016 16682 http://cds.cern.ch/record/2771694/files/Figure_002-d.pdf Figure_002-d Figure 2301017 27061 http://cds.cern.ch/record/2771694/files/Figure_004-b.pdf Figure_004-b Figure 2301018 23884 http://cds.cern.ch/record/2771694/files/Figure_002-a.pdf Figure_002-a Figure 2301019 30741 http://cds.cern.ch/record/2771694/files/Figure_002-b.pdf Figure_002-b Figure 2301020 24434 http://cds.cern.ch/record/2771694/files/Figure_002-c.pdf Figure_002-c Figure 2301021 17057 http://cds.cern.ch/record/2771694/files/Figure_001-d.pdf Figure_001-d Figure 2301022 33470 http://cds.cern.ch/record/2771694/files/Figure_001-c.pdf Figure_001-c Figure 2301023 41228 http://cds.cern.ch/record/2771694/files/Figure_001-b.pdf Figure_001-b Figure 2301024 31020 http://cds.cern.ch/record/2771694/files/Figure_001-a.pdf Figure_001-a Figure 2301011 24039 http://cds.cern.ch/record/2771694/files/Figure_003-a.png?subformat=icon icon Figure_003-a Figure 2301012 25300 http://cds.cern.ch/record/2771694/files/Figure_003-c.png?subformat=icon icon Figure_003-c Figure 2301013 24921 http://cds.cern.ch/record/2771694/files/Figure_003-b.png?subformat=icon icon Figure_003-b Figure 2301014 27349 http://cds.cern.ch/record/2771694/files/Figure_004-a.png?subformat=icon icon Figure_004-a Figure 2301016 10216 http://cds.cern.ch/record/2771694/files/Figure_002-d.png?subformat=icon icon Figure_002-d Figure 2301017 25286 http://cds.cern.ch/record/2771694/files/Figure_004-b.png?subformat=icon icon Figure_004-b Figure 2301018 21407 http://cds.cern.ch/record/2771694/files/Figure_002-a.png?subformat=icon icon Figure_002-a Figure 2301019 28459 http://cds.cern.ch/record/2771694/files/Figure_002-b.png?subformat=icon icon Figure_002-b Figure 2301020 28381 http://cds.cern.ch/record/2771694/files/Figure_002-c.png?subformat=icon icon Figure_002-c Figure 2301021 11623 http://cds.cern.ch/record/2771694/files/Figure_001-d.png?subformat=icon icon Figure_001-d Figure 2301022 38800 http://cds.cern.ch/record/2771694/files/Figure_001-c.png?subformat=icon icon Figure_001-c Figure 2301023 33377 http://cds.cern.ch/record/2771694/files/Figure_001-b.png?subformat=icon icon Figure_001-b Figure 2301024 28680 http://cds.cern.ch/record/2771694/files/Figure_001-a.png?subformat=icon icon Figure_001-a Figure NOTE CMS-PHYSICS-ANALYSIS-SUMMARIES cms-pag-conveners-top@cern.ch SzGeCERN Particle Physics - Experiment 2777287 20250120183402.0 oai:cds.cern.ch:2777287 cerncds:FULLTEXT CERN-STUDENTS-Note-2021-009 eng Plesca, Anisoara-Ionela AUTHOR|(CDS)2770979 AUTHOR|(SzGeCERN)853134 anisoara-ionela.plesca@cern.ch Summer Student Report - study of performance of RPCs operated with environmentally friendly gas mixtures RPC: Resistive Plate Chamber Abbreviation 2021 CERN Geneva 30 Jul 2021 This document describes the activities that have been carried on during my 2021 Summer Student project. I was selected to work in the Experimental Physics - Detector Technologies - Fluidic Systems (EP-DT-FS) Gas Systems section. The project consists of implementing a data acquisition and control system for a particle detector setup installed at the Gamma Irradiation Facility (GIF++). CERN EDS SzGeCERN Computing and Computers SzGeCERN Detectors and Experimental Techniques Resistive Plate Chambers, data acquisition, data visualisation CERN CERN INTNOTE PUBLEP ALICE, ATLAS, CMS EP CERN. Geneva. EP Department http://cds.cern.ch/record/2777287/files/Plesca_Summer_Student_Report_CERN.pdf Access to fulltext 2313610 712005 anisoara-ionela.plesca@cern.ch Beatrice Mandelli Gianluca Rigoletti n 202130 12 PUBLIC https://repository.cern/legacy/record/2777287 INTNOTEEPPUBL NOTE MIGRATED 2776603 SzGeCERN 20210729154617.0 DOI 10.1016/j.radphyschem.2021.109539 oai:cds.cern.ch:2776603 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:1866929 2021-07-22T07:57:43Z 2021-07-22T15:23:03Z marcxml Inspire 1866929 eng Szumega, Jarosław M Jaroslaw.Mikolaj.Szumega@cern.ch CERN submitter A neural network approach for efficient calculation of the current correction value in femtoampere range for a new generation of ionizing radiation monitors at CERN 2021 8 p The European Organization for Nuclear Research (CERN) conducts experiments that involve colliding beams of particles either together or into stationary targets. During these interactions, stray radiation may be generated. The ionizing radiation detectors installed at several locations close to the beam lines and targets of these areas allow CERN radiation protection by precisely monitoring radiation levels. Radiation monitoring is one of the main responsibilities of the Radiation Protection Group and a crucial task to indirectly ensure safety at CERN and its surrounding environment. After 30 years of reliable service, the ARea CONtroller (ARCON) system has reached the end of its lifecycle. A new generation of radiation monitors called CROME (Cern RadiatiOn Monitoring Electronics) has been devel-oped at CERN. These monitors incorporate embedded processing capabilities in order to execute various algo-rithms, such as evaluation of the real electrical current generated by the radiation detectors when they are subject to ionizing fields. This paper presents a case study of a new method for offset correction of a femtoampere current. At this scale, the measured current is sensitive to surrounding environmental factors, such as temper-ature, vibration. and the permittivity of the air. To guarantee the high precision of calculation and real-time operation, and to  overcome the  limitations of  the  field-programmable gate array (FPGA) platform used, a novel method utilizing a neural network approach is proposed. The results obtained with a new model are very satisfactory in terms of both accuracy of prediction and reduced computational complexity. This may encourage further usage of neural networks in safety-critical systems CC-BY-4.0 http://creativecommons.org/licenses/by/4.0/ The Authors 2021 SzGeCERN Nuclear Physics - Experiment SzGeCERN Detectors and Experimental Techniques INSPIRE Other ARTICLE CERN Boukabache, Hamza Hamza.Boukabache@cern.ch CERN Perrin, Daniel Daniel.Perrin@cern.ch CERN 109539 Radiat. Phys. Chem. 188 2021 2312265 1690465 http://cds.cern.ch/record/2776603/files/1-s2.0-S0969806X21001894-main.pdf Fulltext 13 ARTICLE 2776549 20260216141712.0 oai:cds.cern.ch:2776549 cerncds:FULLTEXT CERN-HR-Note-2021-049 eng Marinho Valavicius, Priscilla AUTHOR|(CDS)2654477 AUTHOR|(SzGeCERN)835889 CERN priscilla.marinho.valavicius@cern.ch CFD environmental pollutant dispersion simulations 2021 CERN Geneva 22 Jan 2021 CFD environmental pollutant dispersion simulations CERN EDS SzGeCERN Other Subjects CERN-HR HR internal CERN INTNOTE PUBLHR HR CERN. Geneva. HR Department http://cds.cern.ch/record/2776549/files/PV_HSE-PhD-project description_WPR_ag (002).pdf Access to fulltext 2312206 100710 recruitment.service@cern.ch n 202129 12 PUBLIC https://repository.cern/legacy/record/2776549 INTNOTEHRPUBL MIGRATED 2775810 20251216041519.0 oai:cds.cern.ch:2775810 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI IOP 10.1088/1748-0221/16/12/P12026 arXiv oai:arXiv.org:2107.03621 oai:inspirehep.net:1879563 https://inspirehep.net/api/oai2d Inspire 2025-12-15T10:02:34Z 2025-12-16T03:00:12Z marcxml true Inspire 1879563 arXiv arXiv:2107.03621 physics.ins-det eng Abbas, M. KIT, Karlsruhe Karlsruhe Institute of Technology, Karlsruhe, Germany IOP Benchmarking LHC background particle simulation with the CMS triple-GEM detector arXiv Modeling the triple-GEM detector response to background particles for the CMS Experiment 2021-12-16 2021-07-08 19 p IOP In 2018, a system of large-size triple-GEM demonstrator chambers was installed in the CMS experiment at CERN's Large Hadron Collider (LHC). The demonstrator's design mimicks that of the final detector, installed for Run-3. A successful Monte Carlo (MC) simulation of the collision-induced background hit rate in this system in proton-proton collisions at 13 TeV is presented. The MC predictions are compared to CMS measurements recorded at an instantaneous luminosity of 1.5 ×10$^{34}$ cm$^{-2}$ s$^{-1}$. The simulation framework uses a combination of the FLUKA and GEANT4 packages. FLUKA simulates the radiation environment around the GE1/1 chambers. The particle flux by FLUKA covers energy spectra ranging from 10$^{-11}$ to 10$^{4}$ MeV for neutrons, 10$^{-3}$ to 10$^{4}$ MeV for γ's, 10$^{-2}$ to 10$^{4}$ MeV for e$^{±}$, and 10$^{-1}$ to 10$^{4}$ MeV for charged hadrons. GEANT4 provides an estimate of the detector response (sensitivity) based on an accurate description of the detector geometry, the material composition, and the interaction of particles with the detector layers. The detector hit rate, as obtained from the simulation using FLUKA and GEANT4, is estimated as a function of the perpendicular distance from the beam line and agrees with data within the assigned uncertainties in the range 13.7-14.5%. This simulation framework can be used to obtain a reliable estimate of the background rates expected at the High Luminosity LHC. arXiv An estimate of environmental background hit rate on triple-GEM chambers is performed using Monte Carlo (MC) simulation and compared to data taken by test chambers installed in the CMS experiment (GE1/1) during Run-2 at the Large Hadron Collider (LHC). The hit rate is measured using data collected with proton-proton collisions at 13 TeV and a luminosity of 1.5$\times10^{34}$ cm$^{-2}$ s$^{-1}$. The simulation framework uses a combination of the FLUKA and Geant4 packages to obtain the hit rate. FLUKA provides the radiation environment around the GE1/1 chambers, which is comprised of the particle flux with momentum direction and energy spectra ranging from $10^{-11}$ to $10^{4}$ MeV for neutrons, $10^{-3}$ to $10^{4}$ MeV for $\gamma$'s, $10^{-2}$ to $10^{4}$ MeV for $e^{\pm}$, and $10^{-1}$ to $10^{4}$ MeV for charged hadrons. Geant4 provides an estimate of detector response (sensitivity) based on an accurate description of detector geometry, material composition and interaction of particles with the various detector layers. The MC simulated hit rate is estimated as a function of the perpendicular distance from the beam line and agrees with data within the assigned uncertainties of 10-14.5%. This simulation framework can be used to obtain a reliable estimate of background rates expected at the High Luminosity LHC. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication CC-BY-4.0 IOP http://creativecommons.org/licenses/by/4.0/ publication CERN 2021 arXiv hep-ex SzGeCERN Particle Physics - Experiment arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques CERN ARTICLE CERN LHC CMS Abbrescia, M. Bari Polytechnic Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Abdalla, H. Cairo, Acad. Sci. Res. Tech. Helwan U. Academy of Scientific Research and Technology — ENHEP, Cairo, Egypt Cairo University, Cairo, Egypt Abdelalim, A. Cairo, Acad. Sci. Res. Tech. Helwan U. Academy of Scientific Research and Technology — ENHEP, Cairo, Egypt Helwan University, also at Zewail City of Science and Technology, Cairo, Egypt AbuZeid, S. Cairo, Acad. Sci. Res. Tech. Ain Shames U. Academy of Scientific Research and Technology — ENHEP, Cairo, Egypt Ain Shams University, Cairo, Egypt Agapitos, A. Peking U. Peking University, Beijing, China Ahmad, A. Brussels U. Los Andes U. National Center for Physics, Islamabad, Pakistan Ahmed, A. Delhi U. Delhi University, Delhi, India Ahmed, W. Brussels U. Los Andes U. National Center for Physics, Islamabad, Pakistan Aimè, C. Pavia U. INFN, Pavia Università di Pavia and INFN Sezione di Pavia, Pavia, Italy Aruta, C. Bari Polytechnic Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Asghar, I. Brussels U. Los Andes U. National Center for Physics, Islamabad, Pakistan Aspell, P. Brussels U. Los Andes U. CERN, Geneva, Switzerland Avila, C. Los Andes U. University de Los Andes, Bogota, Colombia Azhgirey, I. Brussels U. Medellin U. Institute for High Energy Physics of NRC Kurchatov Institute, Protvino, Russia Babbar, J. Panjab U. Panjab University, Chandigarh, India Ban, Y. Peking U. Peking University, Beijing, China Band, R. Brussels U. RWTH Aachen U. University of California, Davis, Davis, U.S.A. Bansal, S. Panjab U. Panjab University, Chandigarh, India Benussi, L. Frascati Laboratori Nazionali di Frascati INFN, Frascati, Italy Bhatnagar, V. Panjab U., Chandigarh Panjab University, Chandigarh, India Bianco, M. CERN CERN, Geneva, Switzerland Bianco, S. Frascati Laboratori Nazionali di Frascati INFN, Frascati, Italy Black, K. Wisconsin U., Madison University of Wisconsin, Madison, U.S.A. Borgonovi, L. Bologna U. INFN, Bologna Università di Bologna and INFN Sezione di Bologna, Bologna, Italy Bouhali, O. Texas A-M Texas A&M University, College Station, U.S.A. Bozzato, D. CERN CERN, Geneva, Switzerland Braghieri, A. INFN, Pavia Università di Pavia and INFN Sezione di Pavia, Pavia, Italy Braibant, S. Bologna U. INFN, Bologna Università di Bologna and INFN Sezione di Bologna, Bologna, Italy Butalla, S. Florida Inst. Tech. Florida Institute of Technology, Melbourne, U.S.A. Calzaferri, S. INFN, Pavia Università di Pavia and INFN Sezione di Pavia, Pavia, Italy Caponero, M. Frascati Laboratori Nazionali di Frascati INFN, Frascati, Italy Cassese, F. Naples U. INFN, Naples Università di Napoli and INFN Sezione di Napoli, Napoli, Italy Castaneda, A. castaned@cern.ch Brussels U. SYSU, Guangzhou Universidad de Sonora, Hermosillo, Mexico Cavallo, N. Naples U. INFN, Naples Università di Napoli and INFN Sezione di Napoli, Napoli, Italy Chauhan, S.S. schauhan@cern.ch Panjab U. Panjab University, Chandigarh, India Colaleo, A. Bari Polytechnic Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Conde Garcia, A. Brussels U. Helwan U. CERN, Geneva, Switzerland Dalchenko, M. Brussels U. Lappeenranta U. Tech. Texas A&M University, College Station, U.S.A. De Iorio, A. Naples U. INFN, Naples Università di Napoli and INFN Sezione di Napoli, Napoli, Italy De Lentdecker, G. Brussels U. Université Libre de Bruxelles, Bruxelles, Belgium Dell Olio, D. Bari Polytechnic Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy De Robertis, G. Bari Polytechnic Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Dharmaratna, W. Brussels U. Cairo U. University of Ruhuna, Matara, Sri Lanka Dildick, S. Brussels U. Lappeenranta U. Tech. Texas A&M University, College Station, U.S.A. Dorney, B. Brussels U. Université Libre de Bruxelles, Bruxelles, Belgium Erbacher, R. Brussels U. RWTH Aachen U. University of California, Davis, Davis, U.S.A. Fabozzi, F. Naples U. INFN, Naples Università di Napoli and INFN Sezione di Napoli, Napoli, Italy Fallavollita, F. Brussels U. Helwan U. CERN, Geneva, Switzerland Ferraro, A. Pavia U. INFN, Pavia Università di Pavia and INFN Sezione di Pavia, Pavia, Italy Fiorina, D. Pavia U. INFN, Pavia Università di Pavia and INFN Sezione di Pavia, Pavia, Italy Fontanesi, E. Bologna U. INFN, Bologna Università di Bologna and INFN Sezione di Bologna, Bologna, Italy Franco, M. Bari Polytechnic Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Galloni, C. Brussels U. Panjab U. University of Wisconsin, Madison, U.S.A. Gancarcik, D. CERN CERN, Geneva, Switzerland Giacomelli, P. Bologna U. INFN, Bologna Università di Bologna and INFN Sezione di Bologna, Bologna, Italy Gigli, S. Pavia U. INFN, Pavia Università di Pavia and INFN Sezione di Pavia, Pavia, Italy Gilmore, J. Brussels U. Lappeenranta U. Tech. Texas A&M University, College Station, U.S.A. Gola, M. Delhi U. Delhi University, Delhi, India Gruchala, M. Brussels U. Helwan U. CERN, Geneva, Switzerland Gutierrez, A. Brussels U. KIT, Karlsruhe Wayne State University, Detroit, U.S.A. Hadjiiska, R. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Hakkarainen, T. Lappeenranta U. Tech. Lappeenranta University of Technology, Lappeenranta, Finland Hauser, J. Brussels U. Debrecen, Inst. Nucl. Res. University of California, Los Angeles, U.S.A. Hoepfner, K. RWTH Aachen U. RWTH Aachen University, III. Physikalisches Institut A, Aachen, Germany Hohlmann, M. Brussels U. Delhi U. Florida Institute of Technology, Melbourne, U.S.A. Hoorani, H. Brussels U. Los Andes U. National Center for Physics, Islamabad, Pakistan Huang, T. Brussels U. Lappeenranta U. Tech. Texas A&M University, College Station, U.S.A. Iaydjiev, P. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Irshad, A. Brussels U. Université Libre de Bruxelles, Bruxelles, Belgium Iorio, A. Naples U. INFN, Naples Università di Napoli and INFN Sezione di Napoli, Napoli, Italy Ivone, F. RWTH Aachen U. RWTH Aachen University, III. Physikalisches Institut A, Aachen, Germany Jang, W. Brussels U. Gent U. University of Seoul, Seoul, Korea Jaramillo, J. Medellin U. Universidad de Antioquia, Medellin, Colombia Jha, V. Mumbai U. Bhabha Atomic Research Centre, Mumbai, India Juodagalvis, A. Brussels U. Peking U. Vilnius University, Vilnius, Lithuania Juska, E. Brussels U. Lappeenranta U. Tech. Texas A&M University, College Station, U.S.A. Kailasapathy, B. Brussels U. Cairo, Acad. Sci. Res. Tech. Ain Shames U. University of Colombo, Colombo, Sri Lanka Trincomalee Campus, Eastern University, Sri Lanka, Nilaveli, Sri Lanka Kamon, T. Brussels U. Lappeenranta U. Tech. Texas A&M University, College Station, U.S.A. Kang, Y. Brussels U. Gent U. University of Seoul, Seoul, Korea Karchin, P. Brussels U. KIT, Karlsruhe Wayne State University, Detroit, U.S.A. Kaur, A. Panjab U. Panjab University, Chandigarh, India Kaur, H. Panjab U. Panjab University, Chandigarh, India Keller, H. Aachen, Tech. Hochsch. RWTH Aachen University, III. Physikalisches Institut A, Aachen, Germany Kim, H. Texas A-M Texas A&M University, College Station, U.S.A. Kim, J. IISER, Trivandrum Seoul National University, Seoul, Korea Kim, S. Seoul U. University of Seoul, Seoul, Korea Ko, B. Seoul U. University of Seoul, Seoul, Korea Kumar, A. Delhi U. Delhi University, Delhi, India Kumar, S. Panjab U., Chandigarh Panjab University, Chandigarh, India Kumawat, H. Bhabha Atomic Res. Ctr. Bhabha Atomic Research Centre, Mumbai, India Kurochkin, I. Serpukhov, IHEP Institute for High Energy Physics of NRC Kurchatov Institute, Protvino, Russia Lacalamita, N. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Lee, J.S.H. Seoul U. University of Seoul, Seoul, Korea Levin, A. Peking U. Peking University, Beijing, China Li, Q. Peking U. Peking University, Beijing, China Licciulli, F. Bari Polytechnic Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Lista, L. Naples U. INFN, Naples Università di Napoli and INFN Sezione di Napoli, Napoli, Italy Liyanage, K. Brussels U. Cairo U. University of Ruhuna, Matara, Sri Lanka Loddo, F. Bari Polytechnic Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Luhach, M. Panjab U. Panjab University, Chandigarh, India Maggi, M. Bari Polytechnic Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Maghrbi, Y. Brussels U. Sofiya, Inst. Nucl. Res. College of Engineering and Technology, American University of the Middle East, Dasman, Kuwait Majumdar, N. Saha Inst. Saha Institute of Nuclear Physics, Kolkata, India Malagalage, K. Brussels U. Cairo, Acad. Sci. Res. Tech. University of Colombo, Colombo, Sri Lanka Malhotra, S. Brussels U. Lappeenranta U. Tech. Texas A&M University, College Station, U.S.A. Mallows, S. KIT, Karlsruhe Karlsruhe Institute of Technology, Karlsruhe, Germany Martiradonna, S. Bari Polytechnic Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Mccoll, N. Brussels U. Debrecen, Inst. Nucl. Res. University of California, Los Angeles, U.S.A. McLean, C. Brussels U. RWTH Aachen U. University of California, Davis, Davis, U.S.A. Merlin, J. Bari Polytechnic Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Misheva, M. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Mishra, D. Mumbai U. Bhabha Atomic Research Centre, Mumbai, India Mocellin, G. RWTH Aachen U. RWTH Aachen University, III. Physikalisches Institut A, Aachen, Germany Moureaux, L. Brussels U. Université Libre de Bruxelles, Bruxelles, Belgium Muhammad, A. Brussels U. Los Andes U. National Center for Physics, Islamabad, Pakistan Muhammad, S. Brussels U. Los Andes U. National Center for Physics, Islamabad, Pakistan Mukhopadhyay, S. Saha Inst. Saha Institute of Nuclear Physics, Kolkata, India Naimuddin, M. Delhi U. Delhi University, Delhi, India Netrakanti, P. Mumbai U. Bhabha Atomic Research Centre, Mumbai, India Nuzzo, S. Bari Polytechnic Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Oliveira, R. Brussels U. Helwan U. CERN, Geneva, Switzerland Pant, L. Mumbai U. Bhabha Atomic Research Centre, Mumbai, India Paolucci, P. Naples U. INFN, Naples Università di Napoli and INFN Sezione di Napoli, Napoli, Italy Park, I.C. Brussels U. Gent U. University of Seoul, Seoul, Korea Passamonti, L. Frascati Laboratori Nazionali di Frascati INFN, Frascati, Italy Passeggio, G. Naples U. INFN, Naples Università di Napoli and INFN Sezione di Napoli, Napoli, Italy Peck, A. Brussels U. Debrecen U. University of California, Los Angeles, U.S.A. Pellecchia, A. Bari Polytechnic Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Perera, N. Brussels U. Cairo U. University of Ruhuna, Matara, Sri Lanka Petre, L. Brussels U. Université Libre de Bruxelles, Bruxelles, Belgium Petrow, H. Lappeenranta U. Tech. Lappeenranta University of Technology, Lappeenranta, Finland Piccolo, D. Frascati Laboratori Nazionali di Frascati INFN, Frascati, Italy Pierluigi, D. Frascati Laboratori Nazionali di Frascati INFN, Frascati, Italy Raffone, G. Frascati Laboratori Nazionali di Frascati INFN, Frascati, Italy Rahmani, M. Brussels U. Delhi U. Florida Institute of Technology, Melbourne, U.S.A. Ramirez, F. Medellin U. Universidad de Antioquia, Medellin, Colombia Ranieri, A. Bari Polytechnic Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Rashevski, G. ISER, Sofia Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Regnery, B. Brussels U. RWTH Aachen U. University of California, Davis, Davis, U.S.A. Ressegotti, M. Pavia U. INFN, Pavia Università di Pavia and INFN Sezione di Pavia, Pavia, Italy Riabchikova, A. Serpukhov, IHEP Institute for High Energy Physics of NRC Kurchatov Institute, Protvino, Russia Riccardi, C. Pavia U. INFN, Pavia Università di Pavia and INFN Sezione di Pavia, Pavia, Italy Rodozov, M. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Romano, E. Pavia U. INFN, Pavia Università di Pavia and INFN Sezione di Pavia, Pavia, Italy Roskas, C. Gent U. Ghent University, Ghent, Belgium Rossi, B. Naples U. INFN, Naples Università di Napoli and INFN Sezione di Napoli, Napoli, Italy Rout, P. Saha Inst. Saha Institute of Nuclear Physics, Kolkata, India Roy, D. Brussels U. Delhi U. Florida Institute of Technology, Melbourne, U.S.A. Ruiz, J.D. Medellin U. Universidad de Antioquia, Medellin, Colombia Russo, A. Frascati Laboratori Nazionali di Frascati INFN, Frascati, Italy Safonov, A. Brussels U. Lappeenranta U. Tech. Texas A&M University, College Station, U.S.A. Sahota, A.K. Panjab U. Panjab University, Chandigarh, India Saltzberg, D. Brussels U. Debrecen U. University of California, Los Angeles, U.S.A. Saviano, G. Frascati Laboratori Nazionali di Frascati INFN, Frascati, Italy Shah, A. Delhi U. Delhi University, Delhi, India Sharma, A. Brussels U. Helwan U. CERN, Geneva, Switzerland Sharma, R. Brussels U. Helwan U. Delhi University, Delhi, India Sheokand, T. Panjab U. Panjab University, Chandigarh, India Shopova, M. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Simone, F.M. Bari Polytechnic Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Singh, J. Panjab U. Panjab University, Chandigarh, India Sonnadara, U. Brussels U. Cairo, Acad. Sci. Res. Tech. University of Colombo, Colombo, Sri Lanka Starling, E. Brussels U. Université Libre de Bruxelles, Bruxelles, Belgium Stone, B. Brussels U. Debrecen U. University of California, Los Angeles, U.S.A. Sturdy, J. Brussels U. KIT, Karlsruhe Wayne State University, Detroit, U.S.A. Sultanov, G. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Szillasi, Z. Debrecen, Inst. Nucl. Res. Institute for Nuclear Research ATOMKI, Debrecen, Hungary Teague, D. Brussels U. Panjab U. University of Wisconsin, Madison, U.S.A. Teyssier, D. Debrecen, Inst. Nucl. Res. Institute for Nuclear Research ATOMKI, Debrecen, Hungary Tuuva, T. Lappeenranta U. Tech. Lappeenranta University of Technology, Lappeenranta, Finland Tytgat, M. Gent U. Ghent University, Ghent, Belgium Vai, I. Bergamo U. Università di Bergamo and INFN Sezione di Pavia, Pavia, Italy Vanegas, N. Medellin U. Universidad de Antioquia, Medellin, Colombia Venditti, R. Bari Polytechnic Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Verwilligen, P. Bari Polytechnic Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Vetens, W. Brussels U. Panjab U. University of Wisconsin, Madison, U.S.A. Virdi, A.K. Panjab U. Panjab University, Chandigarh, India Vitulo, P. Pavia U. INFN, Pavia Università di Pavia and INFN Sezione di Pavia, Pavia, Italy Wajid, A. Brussels U. Los Andes U. National Center for Physics, Islamabad, Pakistan Wang, D. Peking U. Peking University, Beijing, China Wang, K. Peking U. Peking University, Beijing, China Watson, I.J. Brussels U. Gent U. University of Seoul, Seoul, Korea Wickramage, N. Brussels U. Cairo U. University of Ruhuna, Matara, Sri Lanka Wickramarathna, D.D.C. Brussels U. Cairo, Acad. Sci. Res. Tech. University of Colombo, Colombo, Sri Lanka Yang, S. Brussels U. Cairo, Acad. Sci. Res. Tech. University of Seoul, Seoul, Korea Yang, Y. Brussels U. Université Libre de Bruxelles, Bruxelles, Belgium Yang, U. Seoul Natl. U. Seoul National University, Seoul, Korea Yongho, J. Korea U. Korea University, Seoul, Korea Yoon, I. Seoul Natl. U. Seoul National University, Seoul, Korea You, Z. SYSU, Guangzhou Sun Yat-Sen University, Guangzhou, China Yu, I. Korea U. Korea University, Seoul, Korea Zaleski, S. RWTH Aachen U. RWTH Aachen University, III. Physikalisches Institut A, Aachen, Germany CMS Collaboration P12026 12 JINST 16 2021 2307655 1057169 http://cds.cern.ch/record/2775810/files/2107.03621.pdf Fulltext 2307656 42322 http://cds.cern.ch/record/2775810/files/Neutron2D_basic.png 00001 Sensitivity map for neutrons (left) and photon (right); in the x-axis is the kinetic energy, y-axis is the incident angle, the sensitivity value is presented in the color band. 2307657 41824 http://cds.cern.ch/record/2775810/files/GE11_angle.png 00009 CMS geometry used in FLUKA simulation (top-left), Flux of particle arriving to GE1/1 volume, normalized to luminosity (top-right). Energy spectra of incoming particles (bottom-left), direction cosine of different particles with respect to axis perpendicular to detector surface (bottom-right) 2307658 31969 http://cds.cern.ch/record/2775810/files/VariousHits.png 00014 Prediction from simulation for hit rate contribution from different background particles at layer-2 of superchamber. 2307659 42628 http://cds.cern.ch/record/2775810/files/ParticleSensitivity_basic.png 00003 Sensitivity as a function of kinetic energy, for neutrons, photons and electrons, considering an incident angle of zero degrees with respect to normal to the detector surface (left). Sensitivity as a function of incident angle for different type of particles considering two energy values of 1~MeV and 100~MeV (right). 2307660 48309 http://cds.cern.ch/record/2775810/files/cms-fluka.png 00006 CMS geometry used in FLUKA simulation (top-left), Flux of particle arriving to GE1/1 volume, normalized to luminosity (top-right). Energy spectra of incoming particles (bottom-left), direction cosine of different particles with respect to axis perpendicular to detector surface (bottom-right) 2307661 192253 http://cds.cern.ch/record/2775810/files/slice_test.png 00005 Schematic drawing of the negative muon endcap, showing the location of the five slice test superchambers. 2307662 40419 http://cds.cern.ch/record/2775810/files/Data_vs_Sim.png 00013 Comparison of slice test data with FLUKA+Geant4 Simulation for Layer-2 of superchamber No. 28. The systematic uncertainties from Geant4 simulation method and detector parameters are shown as shaded blue band around the simulation prediction. The uncertainty from FLUKA simulation are shown as orange band after adding them in quadrature with systematics shown in blue band. The bottom panel shows the ratio of data and simulation prediction. 2307663 121909 http://cds.cern.ch/record/2775810/files/SingleChamberConfiguration.png 00010 Single triple-GEM chamber with different layers (left), and Geant4 visualization of superchamber constructed by combining two single chambers (right). 2307664 44711 http://cds.cern.ch/record/2775810/files/Sensitivity_SuperChamber_Lay2.png 00012 Sensitivity behavior of ``layer-2'' as a function of incident energy for different particles. Here the sensitivity is convoluted over all possible incident angles. 2307665 43623 http://cds.cern.ch/record/2775810/files/GE11_energy.png 00008 CMS geometry used in FLUKA simulation (top-left), Flux of particle arriving to GE1/1 volume, normalized to luminosity (top-right). Energy spectra of incoming particles (bottom-left), direction cosine of different particles with respect to axis perpendicular to detector surface (bottom-right) 2307666 612135 http://cds.cern.ch/record/2775810/files/SuperChamberHorizontal1.png 00011 Single triple-GEM chamber with different layers (left), and Geant4 visualization of superchamber constructed by combining two single chambers (right). 2307667 22814 http://cds.cern.ch/record/2775810/files/Triple-GEM.png 00000 Representation of a transversal view of a triple-GEM detector. 2307668 39042 http://cds.cern.ch/record/2775810/files/Photon2D_basic.png 00002 Sensitivity map for neutrons (left) and photon (right); in the x-axis is the kinetic energy, y-axis is the incident angle, the sensitivity value is presented in the color band. 2307669 61617 http://cds.cern.ch/record/2775810/files/ParticleSensitivity_Angle.png 00004 Sensitivity as a function of kinetic energy, for neutrons, photons and electrons, considering an incident angle of zero degrees with respect to normal to the detector surface (left). Sensitivity as a function of incident angle for different type of particles considering two energy values of 1~MeV and 100~MeV (right). 2307670 37499 http://cds.cern.ch/record/2775810/files/GE11_flux.png 00007 CMS geometry used in FLUKA simulation (top-left), Flux of particle arriving to GE1/1 volume, normalized to luminosity (top-right). Energy spectra of incoming particles (bottom-left), direction cosine of different particles with respect to axis perpendicular to detector surface (bottom-right) 2343362 3327618 http://cds.cern.ch/record/2775810/files/document.pdf Fulltext 13 ARTICLE 2779426 20250120183411.0 oai:cds.cern.ch:2779426 cerncds:FULLTEXT CERN-STUDENTS-Note-2021-081 eng Chan, Yan Yan AUTHOR|(CDS)2774767 AUTHOR|(SzGeCERN)853832 yychanbc@connect.ust.hk Gaseous detectors: operating principles, applications and simulations 2021 CERN Geneva 27 Aug 2021 Gaseous detectors have always played an important role in the field of high-energy particle physics. In this report, the operating principles of different types of gaseous detectors used in high-energy physics experiments are presented, followed by the application of gaseous detectors in various fields and the environmental issues of gaseous detectors operation. In addition, the programme Garfield++ that is commonly used for gaseous detectors simulation is introduced. Lastly, a computer simulation of electron avalanche inside a GEM using Garfield++ is carried out to investigate the effect of gas composition and impurities on GEM performance. CERN EDS SzGeCERN Detectors and Experimental Techniques Gaseous detectors, Drift tubes, CSC, MSGC, Microdot chambers, Micromegas, Micropattern, GEM, TPC, RPC, TGC, RICH, electron avalanche, Garfield++, Magboltz CERN CERN INTNOTE PUBL Zhan, Linying AUTHOR|(CDS)2775013 AUTHOR|(SzGeCERN)853831 linying.zhan@cern.ch CERN. Geneva. Department http://cds.cern.ch/record/2779426/files/CERN_Summer_Student_Programme_Final_Report.pdf Access to fulltext 2319197 5024626 linying.zhan@cern.ch Archana Sharma n 202134 12 PUBLIC https://repository.cern/legacy/record/2779426 INTNOTEPUBL NOTE MIGRATED 2779423 20250120183411.0 oai:cds.cern.ch:2779423 cerncds:FULLTEXT CERN-STUDENTS-Note-2021-078 eng Chan, Yan Yan AUTHOR|(CDS)2774767 AUTHOR|(SzGeCERN)853832 yychanbc@connect.ust.hk Gaseous detectors: operating principles, applications and simulations 2021 CERN Geneva 27 Aug 2021 Gaseous detectors have always played an important role in the field of high-energy particle physics. In this report, the operating principles of different types of gaseous detectors used in high-energy physics experiments are presented, followed by the application of gaseous detectors in various fields and the environmental issues of gaseous detectors operation. In addition, the programme Garfield++ that is commonly used for gaseous detectors simulation is introduced. Lastly, computer simulation of electron avalanche inside an GEM using Garfield++ is carried out to investigate the effect of gas composition and impurities on GEM performance. CERN EDS SzGeCERN Detectors and Experimental Techniques CERN INTNOTE PUBL Zhan, Linying AUTHOR|(CDS)2775013 AUTHOR|(SzGeCERN)853831 linying.zhan@cern.ch CERN. Geneva. Department http://cds.cern.ch/record/2779423/files/CERN_Summer_Student_Programme_Final_Report (2).pdf Access to fulltext 2319194 5024618 yychanbc@connect.ust.hk Archana Sharma n 202134 12 PUBLIC https://repository.cern/legacy/record/2779423 INTNOTEPUBL NOTE MIGRATED 2779411 20250120183410.0 oai:cds.cern.ch:2779411 cerncds:FULLTEXT CERN-STUDENTS-Note-2021-071 eng Dobos-Kovacs, Mihaly AUTHOR|(CDS)2773159 AUTHOR|(SzGeCERN)852630 mihaly.dobos-kovacs@cern.ch Counterexample analysis of formal verification methods 2021 CERN Geneva 27 Aug 2021 Nowadays, different kinds of software solutions become part of our lives more and more. A special category of software systems is the safety-critical systems. Usually a fault in a safety-critical system can lead to immersive financial loss, catastrophic environmental effect, or it can even cost human lives. Typical examples of such safety-critical systems are found in airplanes, nuclear power-plants, or even in CERN’s LHC. To ensure the safety of these systems, they are rigorously tested in an isolated, safe environment according to the strict standards regulating the development and operation of said systems. One approach of finding faults in systems is formal verification, which takes the mathematical model of the system, and mathematically proves some property on it – or provides a counterexample that demonstrates why the property does not hold. One challenge, is that the counterexample given by a verification method is usually rather long and complex, and it takes a huge amount of time to analyze it, and find the cause of the issue. The goal of my project was to find and develop methods that are capable of automatically analyze the counterexamples, and point the developers in the right directions. I implemented the algorithms using CERN’s PLCverif software, that is capable of the formal verification of PLC code. CERN EDS SzGeCERN Other Subjects formal verification CERN counterexample CERN PLCverif CERN Theta CERN CERN INTNOTE PUBLBE BE CERN. Geneva. BE Department http://cds.cern.ch/record/2779411/files/MihalyDobosKovacs_report.pdf Access to fulltext 2319179 1079959 mihaly.dobos-kovacs@cern.ch Jean-Charles Tournier, JT n 202134 12 PUBLIC https://repository.cern/legacy/record/2779411 INTNOTEBEPUBL NOTE MIGRATED 2779400 20250515232230.0 oai:cds.cern.ch:2779400 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN CERN-THESIS-2020-362 eng D93 ISBN978-3-936100-98-3 Schramm, Volker AUTHOR|(CDS)2092978 AUTHOR|(SzGeCERN)760561 CERN volker.schramm@cern.ch Dependable System Development Methodology and Case Study for the LHC Beam Loss Monitoring System at CERN Methodik zur zuverlässigen Systementwicklung und Fallstudie für das LHC Beam Loss Monitoring System am CERN Berichte aus dem Institut für Maschinenelemente Stuttgart, GER 2021-07-12 172 p Presented 23 Feb 2021 PhD University of Stuttgart 2020-05-08 The Beam Loss Monitoring system acts as a protection system of the Large Hadron Collider at CERN. Its primarily ionisation detectors measure potential off-orbit particles escaping from their trajectory. Its dependable performance is of utmost interest for the operation of the collider. This primarily involves constantly protecting the machine by initiating a safe beam extraction in case of dangerous particle losses. Secondary, the system has been designed in a fail-safe architecture to always favour the safe beam extraction in order to avoid any situation comprising the risk of missing dangerous loss. Therefore, the system comprises the potential to optimise its performance, i.e. minimise its impact on the collider performance, by reducing the number of false beam extractions whilst maintaining its protection function. This work analyses the system architecture and protection strategy of the Beam Loss Monitoring system by reviewing a dependability model previously created during its design phase. Furthermore, the thesis investigates newly available performance data, remodels the current hardware configuration comprehensively bottom-up, and, based on this model, performs a Failure Mode, Effects, and Criticality Analysis in order to evaluate the dependable hardware design and review the protection function of the system. Making use of the applied methodology, in particular of the retrospectively performed analysis and the available performance data of the system operating since a decade, a methodology for dependable development and operation during the entire life cycle of systems is presented. Based on the experience gathered with a beam instrumentation system, the methodology is tailored to such accelerator systems characterised by their high functional as well as dependability requirements, large modularity and critical operation during long lifetimes in harsh environments. In five defined life cycle phases and several iterative sub-phases, dependability requirements are derived and specified, designed into the system, reviewed by according analysis methods, and validated by tests. Furthermore, the methodology covers the system installation, commissioning and dependability support during operation up to the decommissioning and potential upgrade and refurbishment to reuse the system or parts of it. The entire methodology is designed as a continuous cycle within these phases to be applied to different development projects, profiting from previous projects and operational systems. In this way, it steadily grows and enhances the dependability capability of an organisation. Therefore, a comprehensive and holistic framework for dependability application during all these phases is provided, enabling the methodology to be adjusted to the specific design project. The steady improvement of the dependability capability is established by an ever growing base of dependability data from tests, operation and decommissioning of previous systems. Furthermore, this base comprises experience gathered whilst applying and enhancing the presented design analyses, improving production and handling procedures, as well as from the operational and maintenance support of the operational systems. In a subsequently performed case study of a Beam Loss Monitoring system processing board upgrade the methodology was applied. The study entirely covers the planning and design, production and testing phases of the life cycle, as well as makes use of operational, failure and repair data of the predecessor module, hence the two remaining life cycle phases. Furthermore, considerations for the upcoming system installation and operation are described. Initially defined dependability specifications for the system influenced the design and the execution of associated dependability analysis methods, which led to defining specifications for the production and accompanying it by several tests and inspections. The output of the analyses during the planning and design phase also led to the integration and following execution of according functional and environmental validation tests for the later system application and its operational environment. Furthermore, the entire production was screened for early life failures and the reliability requirements were demonstrated by tests. Hence, the application of the developed methodology within the case study was successful in meeting the study’s objective to provide feedback to the overall procedure. This enabled to adjust the methodology and to validate it as it is presented in this work. CERN Doctoral Student Program CERN EDS Engineering SzGeCERN Accelerators and Storage Rings SzGeCERN CERN THESIS Not applicable Not applicable Not applicable Bertsche, Bernd dir. Schmidt, Rüdiger dir. Zamantzas, Christos dir. BE 2319164 7089208 http://cds.cern.ch/record/2779400/files/CERN-THESIS-2020-362.pdf volker.schramm@cern.ch n 202134 a2021 14 PUBLIC https://repository.cern/legacy/record/2779400 THESIS MIGRATED 2778818 SzGeCERN 20210819203039.0 oai:cds.cern.ch:2778818 cerncds:FULLTEXT cerncds:cms-notes CMS-NOTE-2021-007 eng CERN-CMS-NOTE-2021-007 Kicsiny, Peter CCID-839900 XX CERN FLUKA Run 2 simulation benchmarking with beam loss monitors in the CMS forward region 2021 Geneva CERN 16 Jun 2021 19 p The FLUKA simulation framework is a general purpose Monte Carlo software for nuclear physics applications. It is commonly used by the CMS collaboration to make estimates on radiation levels in the underground cavern and at specific detector locations. The accuracy of the CMS model geometry in FLUKA is of key importance for the reliability of the simulation results which are used by the collaboration for detector instrumentation, radiation monitoring and environmental protection. It contains simplified geometries and averaged material compositions for a simple and accurate representation of the CMS detector and the underground cavern. To verify the accuracy of the model, benchmark simulations against real measurement data are regularly performed, often by using data taken from radiation monitors in CMS. This report details a simulation benchmark study conducted with measurements of two ionization chambers used as beam loss monitors in the CMS forward zone inside the rotating shield. CERN EDS SzGeCERN Detectors and Experimental Techniques CMS RadiationLevels CMS Simulation CMS BRIL INTNOTE CERN PUBLCMS CERN LHC CMS PH 2317258 6000153 http://cds.cern.ch/record/2778818/files/NOTE2021_007.pdf n 202134 PUBLIC INTNOTECMSPUBL NOTE 2778544 SzGeCERN 20210903204403.0 DOI IEEE 10.1109/TIM.2021.3089776 oai:cds.cern.ch:2778544 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:1898771 2021-08-13T10:56:59Z 2021-08-14T04:29:55Z marcxml Inspire 1898771 eng Gallego Manzano, L ORCID:0000-0002-2297-8865 CERN Lausanne U. Institute of Radiation Physics, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland IEEE An IoT LoRaWAN Network for Environmental Radiation Monitoring 2021 12 p IEEE A reliable and highly scalable Internet of Things (IoT) end-to-end data infrastructure has been developed for environmental radiation monitoring at the European Organization for Nuclear Research (CERN) based on a low-power wide-area network (LPWAN). The proposed system, called Waste radiation MONitoring (W-MON), consists of an interconnected network of thousands of highly sensitive and ultralow-power gamma radiation sensors acting as long range (LoRa) transceivers. The aim of the system is to improve and automatize the radiological controls of conventional waste containers. The end devices measure the radiation levels in the waste containers on a continuous basis and send the data periodically to the LoRaWAN network server. The network has been deployed in an outdoor environment covering hundreds of hectares. A set of web-based user applications for real-time monitoring, data visualization, and status control of the devices have been designed based on open-source tools. The data pipeline infrastructure has been designed to allow an easy integration into the overall CERN Radiation and Environment Monitoring Unified Supervision service (REMUS). publication CC-BY-4.0 https://creativecommons.org/licenses/by/4.0/ author Sensors author Containers author Monitoring author Logic gates author Internet of Things author Real-time systems author Radiation monitoring author Environmental radiation monitoring author Internet of Things (IoT) author long range (LoRa) author low-power wide-area network (LPWAN) author radioactive waste monitoring ARTICLE CERN Boukabache, Hamza ORCID:0000-0001-6243-8401 CERN Danzeca, Salvatore ORCID:0000-0001-5517-521X CERN Heracleous, Natalie ORCID:0000-0002-2744-7238 CERN Murtas, Fabrizio ORCID:0000-0002-7041-6541 CERN Frascati Frascati National Laboratories, Italian Institute for Nuclear Physics (INFN), Frascati, Italy Perrin, Daniel ORCID:0000-0003-4340-8551 CERN Pirc, Vasja ORCID:0000-0001-6132-7515 CERN Alfaro, Alejandro Ribagorda ORCID:0000-0002-4163-0987 Zimmaro, Alessandro ORCID:0000-0003-2126-4913 CERN Silari, Marco ORCID:0000-0001-8851-0950 CERN 1-12 IEEE Trans. Instrum. Meas. 70 2021 2320376 1878 http://cds.cern.ch/record/2778544/files/IEEE 10.1109.pdf 13 ARTICLE 2778518 SzGeCERN 20220114155533.0 DOI JACoW 10.18429/JACoW-ICALEPCS2019-MOPHA049 oai:cds.cern.ch:2778518 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:1827753 2021-08-13T12:08:55Z 2021-08-14T04:29:52Z marcxml Inspire 1827753 eng Gonzalez-Berges, Manuel JACoW-00029399 manuel.gonzalez@cern.ch CERN JACoW Test-bench Design for New Beam Instrumentation Electronics at CERN 2020 5 p JACoW The Beam Instrumentation group has designed a new general-purpose VME acquisition board that will serve as the basis for the design of new instruments and will be used in the renovation of existing systems in the future. Around 1200 boards have been produced. They underwent validation, environmental stress screening and run-in tests to ensure their performance and long term reliability. This allowed to identify potential issues at an early stage and mitigate them, minimizing future interventions and downtime. A dedicated test-bench was designed to drive the tests and continuously monitor the board functionality. One board has more than 45 functions including memories, high speed serial links and a variety of diagnostics. The test-bench was fully integrated with the CERN asset management system to allow lifecycle management from the initial production phase. The data captured during these tests was stored and analyzed regularly to find sources of failures. This was the first time that such a complete test-bench has been used. This paper presents all the details of the test-bench design and implementation. publication CC-BY-3.0 JACoW http://creativecommons.org/licenses/by/3.0/ publication © JACoW 2019 SzGeCERN Accelerators and Storage Rings JACoW instrumentation JACoW hardware JACoW FPGA JACoW electron JACoW electronics ARTICLE CERN Robinson, James JACoW-00122905 jamesoliverrobinson14@gmail.com CERN Saccani, Mathieu JACoW-00118362 mathieu.saccani@cern.ch CERN Schramm, Volker JACoW-00118363 volker.schramm@cern.ch CERN Stachon, Magdalena Anna JACoW-00118645 magdalenastachon26@gmail.com CERN 1827643 MOPHA049 ICALEPCS2019 C19-10-05.1 2020 2316274 1258034 http://cds.cern.ch/record/2778518/files/10.18429_JACoW-ICALEPCS2019-MOPHA049.pdf Fulltext 13 2690621 MOPHA049 new york20191005 ARTICLE ConferencePaper 2778512 SzGeCERN 20220114155532.0 DOI JACoW 10.18429/JACoW-ICALEPCS2019-TUBPR01 oai:cds.cern.ch:2778512 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:1828021 2021-08-13T12:17:59Z 2021-08-14T04:29:52Z marcxml Inspire 1828021 eng Lampridis, Dimitrios JACoW-00118319 dimitrios.lampridis@cern.ch CERN JACoW The Distributed Oscilloscope: A Large-Scale Fully Synchronised Data Acquisition System Over White Rabbit 2020 8 p JACoW A common need in large scientific experiments is the ability to monitor by means of simultaneous data acquisition across the whole installation. Data is acquired as a result of triggers which may either come from external sources, or from internal triggering of one of the acquisition nodes. However, a problem arises from the fact that once the trigger is generated, it will not arrive to the receiving nodes simultaneously, due to varying distances and environmental conditions. The Distributed Oscilloscope (DO) concept attempts to address this problem by leveraging the sub-nanosecond synchronization and deterministic data delivery provided by White Rabbit (WR) and augmenting it with automatic discovery of acquisition nodes and complex trigger event scheduling, in order to provide the illusion of a virtual oscilloscope. This paper presents the current state of the DO, including work done on the FPGA and software level to enhance existing acquisition hardware, as well as a new protocol based on existing industrial standards. It also includes test results obtained from a demonstrator based on two digitizers separated by a 10 km optical fiber, used as a showcase of the DO concept. publication CC-BY-3.0 JACoW http://creativecommons.org/licenses/by/3.0/ publication © JACoW 2019 SzGeCERN Accelerators and Storage Rings JACoW network JACoW HOM JACoW distributed JACoW status JACoW controls ARTICLE CERN Gingold, Tristan JACoW-00118488 tristan.gingold@cern.ch CERN Malczak, Milosz JACoW-00118428 milosz.malczak@cern.ch CERN Warsaw U. CERN, Geneva, Switzerland Vaga, Federico JACoW-00054689 federico.vaga@cern.ch CERN Włostowski, Tomasz JACoW-00040677 tomasz.wlostowski@cern.ch CERN Wujek, Adam JACoW-00098634 adam.wujek@cern.ch CERN 1827643 TUBPR01 ICALEPCS2019 C19-10-05.1 2020 2316268 1029700 http://cds.cern.ch/record/2778512/files/10.18429_JACoW-ICALEPCS2019-TUBPR01.pdf Fulltext 13 2690621 TUBPR01 new york20191005 ARTICLE ConferencePaper 2778273 20210810231159.0 oai:cds.cern.ch:2778273 cerncds:FULLTEXT ATL-MUON-SLIDE-2021-406 eng ATL-COM-MUON-2021-038 The ATLAS collaboration Performance of the ATLAS RPC detector and L1 Muon Barrel trigger at 13 TeV 2021 CERN Geneva 10 Aug 2021 1 p Resistive Plate Chambers (RPCs) are fast gaseous detectors that are employed by the Level-1 muon trigger system in the barrel region of the ATLAS muon spectrometer. The Level-1 muon trigger system selects muon candidates produced in proton-proton collisions at the Large Hadron Collider (LHC). Muon candidates are associated by the Level-1 system with the correct LHC bunch crossing and assigned to one of the six transverse momentum thresholds. The RPCs are arranged in three concentric double layers and consist of approximately 3700 gas volumes, with a total surface of more than 4000 square meters. They operate in a toroidal magnetic field of approximately 0.5 Tesla and provide up to 6 position measurements along the muon trajectory, with a space-time resolution of about 2 cm x 2 ns. This contribution will discuss performance of the RPC detector and Level-1 muon barrel trigger system measured using proton-proton collision data at a centre-of-mass energy of 13 TeV. New measurements of RPC cluster size, detector efficiency and time resolution will be presented. Trigger efficiency, measured using Z boson decays to a muon pair, and trigger rate measurements will be summarised, as well as the composition of the accepted RPC muon candidates. Measurements of RPC currents as a function of the voltage and of the environmental parameters will be also presented, both with and without beams in the LHC. Similarly, RPC background counting rates are measured as a function of the instantaneous luminosity up to 2x1034 cm-2s-1. Measurements of the average avalanche charge for background events will be also presented. Results of the extrapolations of the RPC detector response to the expected luminosity of the High Luminosity LHC will be shown. Finally, measurements of the RPC detector response at different high voltage and threshold settings will be discussed, also in the context of expected detector response at the High Luminosity LHC. SLIDE Sessa, Marco AUTHOR|(CDS)2090876 AUTHOR|(SzGeCERN)718159 Universita e INFN Roma Tre (IT) marco.sessa@cern.ch CERN CDS-Invenio WebSubmit Particle Physics - Experiment SzGeCERN Muon SzGeCERN CERN INTNOTE PRIVATLAS PUBLATLASSLIDE CERN LHC ATLAS PH-EP ATLAS Collaboration http://cds.cern.ch/record/2775678 Original Communication (restricted to ATLAS) 2315844 1249580 http://cds.cern.ch/record/2778273/files/ATL-MUON-SLIDE-2021-406.pdf marco.sessa@cern.ch n 202170 91 PUBLIC 000772674CER PUBLATLASSLIDE Slides 2777903 SzGeCERN 20220630134811.0 DOI Elsevier 10.1016/j.nima.2020.163657 oai:cds.cern.ch:2777903 cerncds:CERN https://inspirehep.net/api/oai2d 2021-08-05T07:56:01Z marcxml oai:inspirehep.net:1798598 2021-08-04T14:22:46Z Inspire 1798598 eng Giovacchini, F francesca.giovacchini@ciemat.es Madrid, CIEMAT Elsevier Space application: The AMS RICH 2020 12 p Elsevier A Ring Imaging Cherenkov detector is on board the Alpha Magnetic Spectrometer, for mass and charge identification of charged cosmic rays. AMS is a high-energy particle physics magnetic spectrometer in space, which was successfully installed at the International Space Station on May 2011 to perform accurate measurements of Galactic Cosmic Rays fluxes in the rigidity range from 1 GV to a few TV. The RICH detector provides AMS the capability to measure the light nuclei isotopic composition of CRs, in the kinetic energy range from a few GeV/nucleon to about 10 GeV/nucleon, so far largely uncovered by previous experiment. In addition, the RICH is a key detector in indirect search for Dark Matter looking at the antiproton and anti-deuteron rare species. The detector has shown stable response during the past 8 years of continuous data taking and no significant indication of degradation has been observed. Once accounted for the extreme environmental conditions of the detector in space and their variation in time, the performances in velocity end charge measurements match the requirements. The different stages of the AMS-RICH construction, from design to commissioning through space qualification and characterization tests, are addressed in this paper, in the aim of highlighting the important aspects which contributed to the success of this detector, only of its kind operative in a long duration mission in space. © 2020 Published by Elsevier B.V. For annual report SzGeCERN Astrophysics and Astronomy author Cosmic rays author AMS author Space instrumentation author RICH detector author Particle identification author CRs isotopic composition ARTICLE CERN AMS AMS RICH Collaboration 163657 2020 Nucl. Instrum. Methods Phys. Res., A 970 13 ARTICLE 2777803 SzGeCERN 20220114155502.0 DOI JACoW 10.18429/JACoW-ICALEPCS2019-MOMPL010 oai:cds.cern.ch:2777803 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:1827669 2021-08-02T14:58:24Z 2021-08-04T04:00:09Z marcxml Inspire 1827669 eng Ledeul, Adrien JACoW-00062475 adrien.ledeul@cern.ch CERN JACoW Data Streaming With Apache Kafka for CERN Supervision, Control and Data Acquisition System for Radiation and Environmental Protection 2020 5 p JACoW The CERN HSE - occupational Health & Safety and Environmental protection - Unit develops and operates REMUS - Radiation and Environmental Unified Supervision - , a Radiation and Environmental Supervision, Control and Data Acquisition system, covering CERN accelerators, experiments and their surrounding environment. REMUS is now making use of modern data streaming technologies in order to provide a secure, reliable, scalable and loosely coupled solution for streaming near real-time data in and out of the system. Integrating the open-source streaming platform Apache Kafka allows the system to stream near real-time data to Data Visualization Tools and Web Interfaces. It also permits full-duplex communication with external Control Systems and IIoT - Industrial Internet Of Things - devices, without compromising the security of the system and using a widely adopted technology. This paper describes the architecture of the system put in place, and the numerous applications it opens up for REMUS and Control Systems in general. publication CC-BY-3.0 JACoW http://creativecommons.org/licenses/by/3.0/ publication JACoW © JACoW 2019 SzGeCERN Accelerators and Storage Rings JACoW controls JACoW SCADA JACoW real-time JACoW radiation JACoW monitoring ARTICLE CERN Savulescu, Alexandru JACoW-00108300 alexandru.savulescu@cern.ch CERN Segura Millan, Gustavo JACoW-00004912 gustavo.segura@cern.ch CERN Styczen, Bartlomiej JACoW-00078748 bartlomiej.styczen@cern.ch CERN 1827643 147 ICALEPCS2019 C19-10-05.1 2020 2314398 1526478 http://cds.cern.ch/record/2777803/files/10.18429_JACoW-ICALEPCS2019-MOMPL010.pdf Fulltext 13 2690621 147 new york20191005 ARTICLE ConferencePaper 2782552 SzGeCERN 20211202153853.0 DOI SISSA 10.22323/1.390.0857 oai:cds.cern.ch:2782552 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN HAL hal-03210412 https://inspirehep.net/api/oai2d oai:inspirehep.net:1860204 2021-09-28T08:21:26Z 2021-09-30T04:00:13Z marcxml Inspire 1860204 eng Mandelli, Beatrice beatrice.mandelli@cern.ch CERN SISSA Performance studies of RPC detectors operated with new environmentally-friendly gas mixtures in presence of LHC-like radiation background SISSA 2021 6 p SISSA Resistive Plate Chamber (RPC) detectors are widely used thanks to their excellent time resolution and low production cost. At the CERN LHC experiments, the large RPC systems are operated in avalanche mode thanks to a Freon-based gas mixture containing C2H2F4 and SF6, both greenhouse gases with a very high global warming potential (GWP). The search of new environmentally friendly gas mixtures is advisable for reducing greenhouse gas emissions, costs as well as to optimize RPC performance and possible detector aging issues.Several hydrofluorocarbons, hydrofluoroolefins (HFOs) and innovative industrial alternative to SF6 gases with very low GWP have been identified as possible replacements of C2H2F4 and SF6. More than 60 environmentally friendly gas mixtures have been investigated on 2 mm single-gap RPCs. The RPC detectors have been tested in laboratory conditions and at the CERN Gamma Irradiation Facility (GIF++), which provides a high energy muon beam combined with an intense gamma source allowing to simulate the background expected at HL-LHC.RPCs performance have been studied at different gamma rates with the new environmentally friendly gases by measuring efficiency, streamer probability, rate capability, induced charge, cluster size and time resolution. Encouraging results of RPC operation in avalanche mode have been obtained with 4 and 5 components gas mixtures. To finalize the studies, the RPCs are now operated under gas recirculation with the selected new gas mixture and exposed to the intense gamma radiation at the CERN GIF++ facility for evaluating possible long-term aging effects, gas damage due to radiation and compatibility of LHC gas system with new gases. publication CC-BY-NC-ND-4.0 SISSA https://creativecommons.org/licenses/by-nc-nd/4.0/ publication The Author(s) 2021 SzGeCERN Detectors and Experimental Techniques ARTICLE CERN Guida, Roberto CERN Rigoletti, Gianluca Lyon U. 1859861 857 PoS ICHEP2020 C20-07-30 2021 2324645 1366378 http://cds.cern.ch/record/2782552/files/PoS(ICHEP2020)857.pdf Fulltext 13 2721698 857 prague20200728 ARTICLE ConferencePaper 2782402 SzGeCERN 20210928231957.0 oai:cds.cern.ch:2782402 cerncds:FULLTEXT CMS-DP-2021-023 eng CERN-CMS-DP-2021-023 CMS Collaboration A new approach for CMS RPC current monitoring using Machine Learning techniques 2020 Geneva CERN 02 Nov 2020 22 p Monitoring the stability of the RPC current is a tedious job where more than a thousand individual high voltage (HV) channels have to be analyzed. The current depends on several parameters (applied voltage, luminosity, environmental parameters, etc.), and sometimes it is not evident if it changes due to variation of external parameters or if it is due to a malfunction of the chamber. A Machine Learning approach is introduced to monitor and detect possible HV problems. A Generalized Linear Regression algorithm is trained to recognize the HV current behavior of a given chamber. The algorithm is then used to predict the HV current under certain data-taking conditions and environmental parameters. The divergence between the predicted HV current and the measurement is an indication of a problem. Results from several chambers are displayed. The algorithm is trained and tested with data from 2017 and 2018. The software development is at the ``proof of concept'' level and the results are encouraging. CERN EDS SzGeCERN Detectors and Experimental Techniques CMS Muons CMS Machine Learning INTNOTE CERN PUBLCMS CERN LHC CMS PH CMS Collaboration 2324565 966238 http://cds.cern.ch/record/2782402/files/DP2021_023.pdf n 202140 PUBLIC CMS-DETECTOR-PERFORMANCE-SUMMARIES NOTE 2782093 SzGeCERN 20210928160437.0 oai:cds.cern.ch:2782093 cerncds:CONF CONFERENCE PROCEEDINGS Ristić, Goran S ed. ILSSYNC ILSLINK PROCEEDINGS https://www.rad-proceedings.org/ Conference home page https://www.rad-proceedings.org/ e-proceedings RAD2018 2018 20180618 6th International Conference on Radiation and Applications in Various Fields of Research (RAD 2018) Orhid, North Macedonia 18 - 22 June 2018 2018 orhid20180618 6 MK 20180622 SzGeCERN Nuclear Physics - Theory SzGeCERN Conference SzGeCERN Health Physics and Radiation Effects 43 RAD 2018 is an interdisciplinary scientific meeting which provides the forum for researchers and professionals involved with interdisciplinary scientific fields. Its focus is on different types of radiation and their various applications. The event strives to allow the participants to exchange and discuss their findings and also encourages them to share the experiences and start cooperating on two levels – individual and institutional. The Conference topics will be: radiobiology, radiochemistry, radiation physics, radiation in medicine, radiation measurements, radiation protection, radioecology, radon and thoron, radiation detectors, radiation effects, medical physics, radiology, nuclear medicine, radiotherapy, radiation oncology, radiopharmacology, cancer research, environmental chemistry, neutron and heavy ion radiations; microwave, laser, RF and UV radiations; medical imaging, medical devices, biomedicine, biochemistry, biophysics, biomaterials, biopharmaceuticals, bioengineering, biotechnology, biomedical engineering, biomechanics, bioinformatics. 38 h 202138 eng INSPIRE-CNUM C18-06-18.13 2781959 20251201182926.0 oai:cds.cern.ch:2781959 cerncds:TALK eng CERN. Geneva TWEPP 2021 Topical Workshop on Electronics for Particle Physics - 2021-09-22T12:20:00 2021-09-22T12:36:00 1019078c14 Performance simulations and characterization of RD53 pixel chips for ATLAS and CMS HL-LHC upgrades 2021 2021-09-22 1107 Streaming video Conferences TWEPP 2021 Topical Workshop on Electronics for Particle Physics 2021-09-22T12:20:00 <!--HTML-->The RD53B pixel readout chip has been submitted for fabrication, meeting specifications of the ATLAS and the CMS experiments for HL-LHC upgrades. Performance characterization of a readout chip in terms of link data rate, average readout latency and efficiency of hit data is essential to evaluate operation of pixel sensors at an extreme interaction rate. At the same time it is complex due to its dependence on various environmental conditions and operational settings. In this work, readout performance parameters and their simulation results for various detector positions of the ATLAS and the CMS experiments are presented. CERN 2021 Conferences Event TALK CERN Rehman, Attiq Ur speaker University of Bergen (NO) https://indico.cern.ch/event/1019078/contributions/4443947/ Talk details https://indico.cern.ch/event/1019078/ Event details MediaArchive /mnt/master_share/master_data/2021/1019078c14 Absolute master path MediaArchive /2021/1019078c14/1019078c14_en.vtt subtitle subtitle English MediaArchive /2021/1019078c14/1019078c14_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2021/1019078c14/1019078c14-posterframe-640x360-at-5.0-percent.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2021/1019078c14/1019078c14-1000-kbps-853x480-25-fps-audio-96-kbps-44-kHz-stereo.mp4 video/mp4 Content: presenter. Resolution: 853x480. Baudrate: 1000 MediaArchive https://lecturemedia.cern.ch/2021/1019078c14/1019078c14-2000-kbps-1280x720-25-fps-audio-96-kbps-44-kHz-stereo.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 2000 MediaArchive https://lecturemedia.cern.ch/2021/1019078c14/1019078c14-4000-kbps-1920x1080-25-fps-audio-96-kbps-44-kHz-stereo.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 4000 MediaArchive https://lecturemedia.cern.ch/2021/1019078c14/1019078c14-512-kbps-426x240-25-fps-audio-96-kbps-44-kHz-stereo.mp4 video/mp4 Content: presenter. Resolution: 426x240. Baudrate: 512 MediaArchive https://lecturemedia.cern.ch/2021/1019078c14/1019078c14-800-kbps-640x360-25-fps-audio-96-kbps-44-kHz-stereo.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 800 angela.ricci@cern.ch 2021-03-15T14:40:29 2021-09-23T12:24:31 PUBLIC INDICO.1019078c14 https://videos.cern.ch/legacy/record/2781959 Indico CR MIGRATED 2781797 SzGeCERN 20210922212721.0 DOI 10.1021/acs.est.9b03265 oai:cds.cern.ch:2781797 cerncds:CERN https://inspirehep.net/api/oai2d 2021-09-22T04:00:33Z marcxml oai:inspirehep.net:1828130 2021-09-21T13:52:49Z Inspire 1828130 eng Ye, Qing Carnegie Mellon U. (main) submitter Molecular Composition and Volatility of Nucleated Particles from $\alpha$-Pinene Oxidation between −50 °C and +25 °C 2019 9 p submitter We use a real-time temperature-programmed desorption chemical-ionization mass spectrometer (FIGAERO–CIMS) to measure particle-phase composition and volatility of nucleated particles, studying pure α-pinene oxidation over a wide temperature range (−50 °C to +25 °C) in the CLOUD chamber at CERN. Highly oxygenated organic molecules are much more abundant in particles formed at higher temperatures, shifting the compounds toward higher O/C and lower intrinsic (300 K) volatility. We find that pure biogenic nucleation and growth depends only weakly on temperature. This is because the positive temperature dependence of degree of oxidation (and polarity) and the negative temperature dependence of volatility counteract each other. Unlike prior work that relied on estimated volatility, we directly measure volatility via calibrated temperature-programmed desorption. Our particle-phase measurements are consistent with gas-phase results and indicate that during new-particle formation from α-pinene oxidation, gas-phase chemistry directly determines the properties of materials in the condensed phase. We now have consistency between measured gas-phase product concentrations, product volatility, measured and modeled growth rates, and the particle composition over most temperatures found in the troposphere. American Chemical Society publication 2019 SzGeCERN Nuclear Physics - Experiment ARTICLE CERN CLOUD Wang, Mingyi Carnegie Mellon U. (main) Hofbauer, Victoria Carnegie Mellon U. (main) Stolzenburg, Dominik Vienna U. Chen, Dexian Carnegie Mellon U. (main) Schervish, Meredith Carnegie Mellon U. (main) Vogel, Alexander CERN Goethe U., Frankfurt (main) Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438, Frankfurt am Main, Germany Mauldin, Roy L Carnegie Mellon U. (main) U. Colorado, Boulder Department of Oceanic and Atmospheric Science, University of Colorado Boulder, Boulder, Colorado 80309, United States Baalbaki, Rima U. Helsinki (main) Brilke, Sophia Vienna U. Dada, Lubna U. Helsinki (main) Dias, António Lisbon, CENTRA Duplissy, Jonathan U. Helsinki (main) Helsinki Inst. of Phys. Helsinki Institute of Physics, University of Helsinki, 00014 Helsinki, Finland  El Haddad, Imad PSI, Villigen Finkenzeller, Henning U. Colorado, Boulder Unlisted, US, CO Cooperative Institute for Research in Environmental Sciences (CIRES), Boulder, Colorado 80309, United States  Fischer, Lukas Innsbruck U. He, Xucheng U. Helsinki (main) Kim, Changhyuk Caltech, Pasadena (main) Pusan Natl. U. ∥∥Department of Environmental Engineering, Pusan National University, 46241 Busan, Republic of Korea  Kürten, Andreas Goethe U., Frankfurt (main) Lamkaddam, Houssni PSI, Villigen Lee, Chuan Ping PSI, Villigen Lehtipalo, Katrianne Finnish Meteorological Inst. U. Helsinki (main) Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland  Leiminger, Markus Innsbruck U. Manninen, Hanna E CERN Marten, Ruby PSI, Villigen Mentler, Bernhard Innsbruck U. Partoll, Eva Innsbruck U. Petäjä, Tuukka U. Helsinki (main) Rissanen, Matti Helsinki U. Schobesberger, Siegfried UEF, Kuopio Schuchmann, Simone CERN Simon, Mario Goethe U., Frankfurt (main) Tham, Yee Jun Helsinki U. Vazquez-Pufleau, Miguel Vienna U. Wagner, Andrea C Goethe U., Frankfurt (main) Wang, Yonghong U. Helsinki (main) Wu, Yusheng U. Helsinki (main) Xiao, Mao PSI, Villigen Baltensperger, Urs PSI, Villigen Curtius, Joachim Goethe U., Frankfurt (main) Flagan, Richard Caltech, Pasadena (main) Kirkby, Jasper CERN Goethe U., Frankfurt (main) Goethe University Frankfurt, 60438, Frankfurt am Main, Germany  Kulmala, Markku U. Helsinki (main) Nanjing U. (main) Beijing U. of Chem. Tech. Helsinki Institute of Physics, University of Helsinki, 00014 Helsinki, Finland  Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, 100029 Beijing, China Volkamer, Rainer U. Colorado, Boulder Unlisted, US, CO Cooperative Institute for Research in Environmental Sciences (CIRES), Boulder, Colorado 80309, United States Winkler, Paul M Vienna U. Worsnop, Douglas Aerodyne Research, Billerica Donahue, Neil M Carnegie Mellon U. (main) 12357-12365 21 2019 Environmental Science & Technology 53 13 ARTICLE 2781686 20251201182934.0 oai:cds.cern.ch:2781686 cerncds:TALK eng CERN. Geneva The Mars 2020 Perseverance Rover Mission in Jezero Crater, Mars CERN - Video Only 2021-09-16T16:30:00 2021-09-16T17:30:00 1072715 The Mars 2020 Perseverance Rover Mission in Jezero Crater, Mars 2021 2021-09-16 5929 Streaming video CERN Colloquium 2021-09-16T16:30:00 <!--HTML--><div class="page"> <div class="layoutArea"> <div class="column"> <p><span><span><span style="color:black">In February 2021, NASA’s Mars 2020 Perseverance rover landed in Jezero crater, the site of an ancient lake. The mission seeks to discover signs of ancient martian life, and will collect rock, soil, and atmospheric samples for possible return to Earth. Perseverance and its field partner—the Ingenuity helicopter—have been actively exploring Jezero crater for several months, successfully coring the mission’s first rock sample. Multiple distinct geologic units have been characterized through these investigations, each containing information about the environmental history, habitability, and planetary evolution of Mars. Here I will cover the technological achievements and scientific discoveries of NASA’s Mars 2020 Perseverance Rover Mission, as well as their implications for astrobiology, planetary science, and space exploration.</span></span></span></p> <p><span><span><span style="color:black">Bonus -- landing video:&nbsp;https://www.youtube.com/watch?v=4czjS9h4Fpg</span></span></span></p> </div> </div> </div> CERN Colloquium - 16 September 2021: https://cern.zoom.us/j/66878365734?pwd=bEZ0aS9COUQzZ21vUzVzQ01FdG9qQT09 CERN 2021 CERN Colloquium Event TALK CERN Tarnas, Jesse speaker NASA, Jet Propulsion Laboratory (JPL), Pasadena, CA, US https://indico.cern.ch/event/1072715/ Event details MediaArchive /mnt/master_share/master_data/2021/1072715 Absolute master path MediaArchive https://lecturemedia.cern.ch/2021/1072715/1072715-posterframe-576x360-at-5.0-percent.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2021/1072715/1072715-1000-kbps-768x480-25-fps-audio-96-kbps-44-kHz-stereo.mp4 video/mp4 Content: presenter. Resolution: 768x480. Baudrate: 1000 MediaArchive https://lecturemedia.cern.ch/2021/1072715/1072715-2000-kbps-1152x720-25-fps-audio-96-kbps-44-kHz-stereo.mp4 video/mp4 Content: presenter. Resolution: 1152x720. Baudrate: 2000 MediaArchive https://lecturemedia.cern.ch/2021/1072715/1072715-4000-kbps-1728x1080-25-fps-audio-96-kbps-44-kHz-stereo.mp4 video/mp4 Content: presenter. Resolution: 1728x1080. Baudrate: 4000 MediaArchive https://lecturemedia.cern.ch/2021/1072715/1072715-512-kbps-384x240-25-fps-audio-96-kbps-44-kHz-stereo.mp4 video/mp4 Content: presenter. Resolution: 384x240. Baudrate: 512 MediaArchive https://lecturemedia.cern.ch/2021/1072715/1072715-800-kbps-576x360-25-fps-audio-96-kbps-44-kHz-stereo.mp4 video/mp4 Content: presenter. Resolution: 576x360. Baudrate: 800 claudia.dupraz@cern.ch Tarnas, Jesse NASA, Jet Propulsion Laboratory (JPL), Pasadena, CA, US 2021-09-02T09:36:55 2021-09-21T09:37:53 PUBLIC INDICO.1072715 https://videos.cern.ch/legacy/record/2781686 Indico Colloquia MIGRATED 2781605 20220728020800.0 DOI 10.22323/1.398.0750 oai:cds.cern.ch:2781605 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN Inspire 2062136 ATL-MUON-PROC-2021-004 eng ATL-COM-MUON-2021-052 AUTHOR|(CDS)2090876 AUTHOR|(SzGeCERN)718159 Sessa, Marco marco.sessa@cern.ch Universita e INFN Roma Tre (IT) Performance of the ATLAS RPC detector and L1 Muon Barrel trigger at 13 TeV 2022 Geneva CERN 20 Sep 2021 4 p Resistive Plate Chambers (RPCs) are fast gaseous detectors that are employed by the Level-1 muon trigger system in the barrel region of the ATLAS muon spectrometer. The Level-1 muon trigger system selects muon candidates produced in proton-proton collisions at the Large Hadron Collider (LHC). Muon candidates are associated by the Level-1 system with the correct LHC bunch crossing and assigned to one of the six transverse momentum thresholds. The RPCs are arranged in three concentric double layers and consist of approximately 3700 gas volumes, with a total surface of more than 4000~m$^{2}$. They operate in a toroidal magnetic field of approximately 0.5~T and provide up to 6 position measurements along the muon trajectory, with a space-time resolution of about 2~cm $\times$ 2~ns. This contribution will discuss performance of the RPC detector and Level-1 muon barrel trigger system measured using proton-proton collision data at a centre-of-mass energy of 13~TeV. New measurements of RPC cluster size, detector efficiency and time resolution will be presented. Trigger efficiency, measured using Z boson decays to a muon pair, and trigger rate measurements will be summarised, as well as the composition of the accepted RPC muon candidates. Measurements of RPC currents as a function of the voltage and of the environmental parameters will be also presented, both with and without beams in the LHC. Similarly, RPC background counting rates are measured as a function of the instantaneous luminosity up to $2 \times 10^{34}$~cm$^{-2}$~s$^{-1}$. Measurements of the average avalanche charge for background events will be also presented. Finally, results of the extrapolations of the RPC detector response to the expected luminosity of the High Luminosity LHC will be shown. publication CC-BY-NC-ND-4.0 PROC CERN CDS-Invenio WebSubmit For annual report SzGeCERN Particle Physics - Experiment SzGeCERN Muon CERN ATLAS CERN RPC CERN Resistive CERN Plate CERN Chamber CERN Muon CERN Trigger CERN Level-1 CERN INTNOTE PRIVATLAS INTNOTEATLASPUBL ARTICLE CERN LHC ATLAS PH-EP ATLAS Muon Collaboration 750 PoS EPS-HEP2021 2022 http://cds.cern.ch/record/2781383 Original Communication (restricted to ATLAS) 2323364 850393 http://cds.cern.ch/record/2781605/files/ATL-MUON-PROC-2021-004.pdf Stamped by WebSubmit: 20/09/2021 marco.sessa@cern.ch n 202170 13 2774759 750 online20210726 PUBLIC 000773299CER INTNOTEATLASPUBL ConferencePaper ARTICLE 2781492 SzGeCERN 20260210062612.0 DOI Springer 10.1038/s41586-021-03784-w oai:cds.cern.ch:2781492 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN oai:inspirehep.net:1917008 https://inspirehep.net/api/oai2d Inspire 2026-02-09T11:58:15Z 2026-02-10T03:00:52Z marcxml true Inspire 1917008 arXiv arXiv:2108.12725 physics.atom-ph eng Bohman, M. ORCID:0000-0003-1322-1489 GRID:grid.419604.e GRID:grid.7597.c ROR:https://ror.org/052d0h423 ROR:https://ror.org/01sjwvz98 Heidelberg, Max Planck Inst. RIKEN (main) Max-Planck-Institut für Kernphysik, Heidelberg, Germany RIKEN, Fundamental Symmetries Laboratory, Saitama, Japan Springer Sympathetic cooling of a trapped proton mediated by an LC circuit 2021-08-25 2021-08-29 11 p arXiv 11 pages, 7 figures Springer Efficient cooling of trapped charged particles is essential to many fundamental physics experiments, to high-precision metrology and to quantum technology. Until now, sympathetic cooling has required close-range Coulomb interactions, but there has been a sustained desire to bring laser-cooling techniques to particles in macroscopically separated traps, extending quantum control techniques to previously inaccessible particles such as highly charged ions, molecular ions and antimatter. Here we demonstrate sympathetic cooling of a single proton using laser-cooled Be+ ions in spatially separated Penning traps. The traps are connected by a superconducting LC circuit that enables energy exchange over a distance of 9 cm. We also demonstrate the cooling of a resonant mode of a macroscopic LC circuit with laser-cooled ions and sympathetic cooling of an individually trapped proton, reaching temperatures far below the environmental temperature. Notably, as this technique uses only image–current interactions, it can be easily applied to an experiment with antiprotons, facilitating improved precision in matter–antimatter comparisons and dark matter searches. arXiv Efficient cooling of trapped charged particles is essential to many fundamental physics experiments, to high-precision metrology, and to quantum technology. Until now, sympathetic cooling has required close-range Coulomb interactions, but there has been a sustained desire to bring laser-cooling techniques to particles in macroscopically separated traps, extending quantum control techniques to previously inaccessible particles such as highly charged ions, molecular ions and antimatter. Here we demonstrate sympathetic cooling of a single proton using laser-cooled Be+ ions in spatially separated Penning traps. The traps are connected by a superconducting LC circuit that enables energy exchange over a distance of 9 cm. We also demonstrate the cooling of a resonant mode of a macroscopic LC circuit with laser-cooled ions and sympathetic cooling of an individually trapped proton, reaching temperatures far below the environmental temperature. Notably, as this technique uses only image-current interactions, it can be easily applied to an experiment with antiprotons, facilitating improved precision in matter-antimatter comparisons and dark matter searches. CC-BY-4.0 Springer http://creativecommons.org/licenses/by/4.0/ The Author(s) 2021 SzGeCERN Physics in General ARTICLE CERN BASE / AD-8 CERN AD Grunhofer, V. GRID:grid.5802.f ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Institut für Physik, Johannes Gutenberg-Universität, Mainz, Germany Smorra, C. ORCID:0000-0001-5584-7960 GRID:grid.7597.c GRID:grid.5802.f ROR:https://ror.org/01sjwvz98 ROR:https://ror.org/023b0x485 RIKEN (main) Mainz U., Inst. Phys. RIKEN, Fundamental Symmetries Laboratory, Saitama, Japan Institut für Physik, Johannes Gutenberg-Universität, Mainz, Germany Wiesinger, M. ORCID:0000-0003-0111-8812 GRID:grid.419604.e GRID:grid.7597.c ROR:https://ror.org/052d0h423 ROR:https://ror.org/01sjwvz98 Heidelberg, Max Planck Inst. RIKEN (main) Max-Planck-Institut für Kernphysik, Heidelberg, Germany RIKEN, Fundamental Symmetries Laboratory, Saitama, Japan Will, C. ORCID:0000-0003-4622-7799 GRID:grid.419604.e ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, Heidelberg, Germany Borchert, M.J. GRID:grid.7597.c GRID:grid.9122.8 GRID:grid.4764.1 ROR:https://ror.org/01sjwvz98 ROR:https://ror.org/0304hq317 ROR:https://ror.org/05r3f7h03 RIKEN (main) Leibniz U., Hannover Braunschweig, Phys. Tech. Bund. RIKEN, Fundamental Symmetries Laboratory, Saitama, Japan Institut für Quantenoptik, Leibniz Universität Hannover, Hannover, Germany Physikalisch-Technische Bundesanstalt, Braunschweig, Germany Devlin, J.A. GRID:grid.7597.c GRID:grid.9132.9 ROR:https://ror.org/01sjwvz98 ROR:https://ror.org/01ggx4157 RIKEN (main) CERN RIKEN, Fundamental Symmetries Laboratory, Saitama, Japan CERN, Geneva, Switzerland Erlewein, S. GRID:grid.7597.c GRID:grid.9132.9 ROR:https://ror.org/01sjwvz98 ROR:https://ror.org/01ggx4157 RIKEN (main) CERN RIKEN, Fundamental Symmetries Laboratory, Saitama, Japan CERN, Geneva, Switzerland Fleck, M. ORCID:0000-0003-4114-1902 GRID:grid.7597.c GRID:grid.26999.3d ROR:https://ror.org/01sjwvz98 ROR:https://ror.org/057zh3y96 RIKEN (main) U. Tokyo (main) RIKEN, Fundamental Symmetries Laboratory, Saitama, Japan Graduate School of Arts and Sciences, University of Tokyo, Tokyo, Japan Gavranovic, S. GRID:grid.5802.f ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Institut für Physik, Johannes Gutenberg-Universität, Mainz, Germany Harrington, J. GRID:grid.419604.e GRID:grid.7597.c ROR:https://ror.org/052d0h423 ROR:https://ror.org/01sjwvz98 Heidelberg, Max Planck Inst. RIKEN (main) Max-Planck-Institut für Kernphysik, Heidelberg, Germany RIKEN, Fundamental Symmetries Laboratory, Saitama, Japan Latacz, B. ORCID:0000-0003-2320-1713 GRID:grid.7597.c ROR:https://ror.org/01sjwvz98 RIKEN (main) RIKEN, Fundamental Symmetries Laboratory, Saitama, Japan Mooser, A. GRID:grid.419604.e ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, Heidelberg, Germany Popper, D. GRID:grid.5802.f ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Institut für Physik, Johannes Gutenberg-Universität, Mainz, Germany Wursten, E. ORCID:0000-0002-2413-2214 GRID:grid.7597.c GRID:grid.9132.9 ROR:https://ror.org/01sjwvz98 ROR:https://ror.org/01ggx4157 RIKEN (main) CERN RIKEN, Fundamental Symmetries Laboratory, Saitama, Japan CERN, Geneva, Switzerland Blaum, K. ORCID:0000-0003-4468-9316 GRID:grid.419604.e ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, Heidelberg, Germany Matsuda, Y. ORCID:0000-0002-9847-3791 GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 U. Tokyo (main) Graduate School of Arts and Sciences, University of Tokyo, Tokyo, Japan Ospelkaus, C. ORCID:0000-0002-4170-2936 GRID:grid.9122.8 GRID:grid.4764.1 ROR:https://ror.org/0304hq317 Leibniz U., Hannover Institut für Quantenoptik, Leibniz Universität Hannover, Hannover, Germany Physikalisch-Technische Bundesanstalt, Braunschweig, Germany Quint, W. GRID:grid.159791.2 ROR:https://ror.org/02k8cbn47 Darmstadt, GSI GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany Walz, J. GRID:grid.5802.f GRID:grid.461898.a ROR:https://ror.org/023b0x485 ROR:https://ror.org/024thra40 Mainz U., Inst. Phys. Helmholtz Inst., Mainz Institut für Physik, Johannes Gutenberg-Universität, Mainz, Germany Helmholtz-Institut Mainz, Mainz, Germany Ulmer, S. ORCID:0000-0002-4185-4147 GRID:grid.7597.c ROR:https://ror.org/01sjwvz98 RIKEN (main) RIKEN, Fundamental Symmetries Laboratory, Saitama, Japan BASE Collaboration 514-518 7873 2021 Nature 596 2323050 2920329 http://cds.cern.ch/record/2781492/files/document.pdf Fulltext 2784449 2920329 http://cds.cern.ch/record/2781492/files/2108.12725.pdf Fulltext 13 ARTICLE 2780665 20250515232233.0 oai:cds.cern.ch:2780665 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN CERN-THESIS-2021-126 eng Magatti, Demetrio AUTHOR|(CDS)2697229 AUTHOR|(SzGeCERN)844204 Universita & INFN, Milano-Bicocca (IT) dmagatti@cern.ch Characterization of RPC detectors operated with new eco friendly gas mixtures 74 p Presented 31 Mar 2021 Master Università degli studi di Milano-Bicocca 2021 Resistive plate Chambers (RPCs) are gaseous particle detectors widely used at CERN LHC experiments thanks to their excellent time resolution and production cost. They are operated with a Freon-based gas mixture containing C2H2F4 and SF6, both greenhouse gases (GHG) with a high Global Warming Potential (GWP) and therefore subject to European regulations aiming at reducing the GHG emissions. The search for new environmentally friendly gas mixtures that are compatible with the current ATLAS and CMS RPC systems is therefore determined by the need of lowering GHG emissions and, obviously, of finding alternatives to gases that could disappear in the future. The goal of this work is to characterize the RPC performance using low GWP mixtures. In the first part of the work, C2H2F4 was partially replaced either by inert gases or by C3H2F4 (also known as R-1234ze), a gas in the family of the HydroFluoroOlefin (HFO), which has already been identified by the refrigerant industry as a suitable low GWP alternative to the R-134a. Recently developed high electronegativity and electrically insulating gases, 3MTM NovecTM 4710 and 3MTM NovecTM 5110, were tested as SF6 replacements. Several gas mixtures were tested in laboratory conditions using cosmic muons, and the obtained results were compared to the standard gas mixture currently used at CMS and ATLAS experiment (C2H2F4/i-C4H10/SF6 95.2/4.5/0.3). Novec gases have proven to be promising alternatives to SF6. The second part of this work is related to long term tests and validation of low GWP gas mixtures for RPC detectors under irradiation condition at the CERN Gamma Irradiation Facility (GIF++), where a 12.2 TBq 137Cs source provides an irradiation background similar to the one foreseen for the High Luminosity LHC (HL-LHC) phase. The RPC detectors under irradiation were kept at the working point in order to investi- gate the performance stability over time. The gas mixture which underwent the validation test was a five compo- nents mixture where part of the C2H2F4 has been replaced by R-1234ze and Helium (C2H2F4/HFO/He/iC4H10/SF6 37.45/37.45/20/4.5/0.6). Currents measured at the gas mixture’s working point were approximately larger by a fac- tor two with respect to the standard gas mixture, but they showed good stability over a six-month operation period. Long term performance studies were started and are being carried on. CERN Technical Student Program CERN EDS Detectors and Experimental Techniques SzGeCERN CERN THESIS Not applicable Not applicable Mandelli, Beatrice CERN dir. Croci, Gabriele Università Bicocca dir. Perelli, Enrico Università Bicocca dir. EP 2321543 12667690 http://cds.cern.ch/record/2780665/files/CERN-THESIS-2021-126.pdf beatrice.mandelli@cern.ch n 202136 a2021 14 PUBLIC https://repository.cern/legacy/record/2780665 THESIS MIGRATED 2780127 SzGeCERN 20221020162725.0 oai:cds.cern.ch:2780127 cerncds:FULLTEXT cerncds:CERN:FULLTEXT INIS cerncds:CERN DOI EDP Sciences 10.1051/epjconf/202024501005 Inspire 1831610 CMS-CR-2020-042 eng Karimeh, Wassef wassef.karimeh@cern.ch USJ, Beirut EDP Sciences Status and Future of the CMS Tracker DCS 2020 Geneva CERN 07 Feb 2020 8 p Detector Control Systems (DCS) for modern High-Energy Physics (HEP) experiments are based on complex distributed (and often redundant) hardware and software implementing real-time operational procedures meant to ensure that the detector is always in a safe state, while at the same time maximizing the lifetime of the detector. Display, archival and often analysis of the environmental data are also part of the tasks assigned to DCS systems. The CMS Tracker Control System (TCS) is a resilient system that has been designed to safely operate the silicon tracking detector in the CMS experiment. It has been built on top of an industrial Supervisory Control and Data Acquisition (SCADA) software product WinCC OA extended with a framework developed at CERN, JCOP along with CMS and Tracker specific components. The TCS is at present undergoing major architecture redesign which is critical to ensure efficient control of the detector and its future upgrades for the next 15 year period. In this paper, we will present an overview of the Tracker DCS and the architecture of the software components as well as the associated deliverables. EDP Sciences Detector Control Systems (DCS) for modern High-Energy Physics (HEP) experiments are based on complex distributed (and often redundant) hardware and software implementing real-time operational procedures meant to ensure that the detector is always in a safe state, thus maximizing the lifetime of the detector. Display, archival and often analysis of the environmental data are also part of the tasks assigned to DCS systems. The CMS Tracker Control System (TCS) is a resilient system that has been designed to safely operate the silicon tracking detector in the CMS experiment. It has been built on top of an industrial Supervisory Control and Data Acquisition (SCADA) software product WinCC OA extended with a framework developed at CERN, JCOP, along with CMS and Tracker specific components. The TCS is at present undergoing major architecture redesign which is critical to ensure efficient control of the detector and its future upgrades for the next fifteen years period. In this paper, we will present an overview of the Tracker DCS and the architecture of the software components as well as the associated deliverables. CC-BY-4.0 EDP Sciences https://creativecommons.org/licenses/by/4.0/ The Authors 2020 CERN EDS For annual report SzGeCERN Computing and Computers SzGeCERN Detectors and Experimental Techniques CMS Tracker INTNOTE CERN PUBLCMS ARTICLE CERN LHC CMS Chammoun, Maroun USJ, Beirut Shvetsov, Ivan KIT, Karlsruhe Tsirou, Andromachi CERN Verdini, Piero Giorgio INFN, Pisa Pisa U. Pisa, Scuola Normale Superiore PH 1830716 01005 EPJ Web Conf. 245 C19-11-04 2020 2320648 940640 http://cds.cern.ch/record/2780127/files/CR2020_042.pdf n 202137 13 2684706 01005 adelaide20191104 PUBLIC INTNOTECMSPUBL ARTICLE ConferencePaper 2756286 2780117 SzGeCERN 20221117153300.0 oai:cds.cern.ch:2780117 cerncds:FULLTEXT cerncds:CERN:FULLTEXT INIS cerncds:CERN DOI 10.1088/1748-0221/15/10/C10009 Inspire 1822385 CMS-CR-2020-105 eng Petkov, Peicho Stoev INSPIRE-00315084 CCID-555450 Sofiya U. A new approach for CMS RPC current monitoring using Machine Learning techniques 2020 Geneva CERN 10 May 2020 9 p The CMS experiment has 1054 RPCs in its muon system. Monitoring their currents is the first essential step towards maintaining the stability of the CMS RPC detector performance. The current depends on several parameters such as applied voltage, luminosity, environmental conditions, etc. Knowing the influence of these parameters on the RPC current is essential for the correct interpretation of its instabilities as they can be caused either by changes in external conditions or by malfunctioning of the detector in the ideal case. We propose a Machine Learning(ML) based approach to be used for monitoring the CMS RPC currents. The approach is crucial for the development of an automated monitoring system capable of warning for possible hardware problems at a very early stage, which will contribute further to the stable operation of the CMS RPC detector. publication IOP Publishing Ltd and Sissa Medialab 2020 CERN EDS For annual report SzGeCERN Detectors and Experimental Techniques CMS Muons INTNOTE CERN PUBLCMS ARTICLE CERN LHC CMS PH CMS Collaboration C10009 JINST 15 2020 2320638 547119 http://cds.cern.ch/record/2780117/files/CR2020_105.pdf n 202137 13 2692559 roma20200210 PUBLIC INTNOTECMSPUBL ConferencePaper ARTICLE 2788719 20231208231440.0 oai:cds.cern.ch:2788719 cerncds:FULLTEXT BUL-SA-2021-068 en fr CERN ECO-ACTIONS CLUB CERN ECO-ACTIONS CLUB CERN ECO-ACTIONS CLUB 2021 26/10/2021 <!--HTML--><p><img alt="" src="http://cds.cern.ch/record/2788719/files/ECO-Actions_image.png?subformat=icon" style="float:left; height:117px; margin:5px; width:120px" />If you are interested in <strong>environmental issues</strong> and want to take action, <a href="https://eco-actions.web.cern.ch/fr/sign-up">join us</a>!</p> <p>The CERN Eco-Actions club offers several projects and activities.</p> <p><strong>Upcoming events:</strong></p> <ul> <li>Movie night.</li> <li><a href="https://eco-actions.web.cern.ch/fr/node/541">Climate collage workshops</a>.</li> </ul> <p><strong>The club&#39;s projects: </strong></p> <ul> <li>A shared garden at CERN.</li> <li>Repair workshop.</li> <li>Tool library</li> <li>Zero waste workshops.</li> </ul> <p>And others, join us to participate and launch your eco project.</p> <p>Find all of the club&#39;s projects on our <a href="https://eco-actions.web.cern.ch/fr/news" target="_blank">website</a>.</p> <p>&nbsp;</p> <!--HTML--><p><img alt="" src="http://cds.cern.ch/record/2788719/files/ECO-Actions_image.png?subformat=icon" style="float:left; height:117px; margin:5px; width:120px" />Si les <strong>questions environnementales</strong> vous int&eacute;ressent et que vous voulez passer &agrave; l&rsquo;action, <a href="https://eco-actions.web.cern.ch/fr/sign-up">rejoignez-nous&nbsp;!</a></p> <p>Le club Eco-Actions du CERN vous propose plusieurs projets et plusieurs activit&eacute;s.</p> <p><strong>Les &eacute;v&egrave;nements &agrave; venir :</strong></p> <ul> <li>Projection de film.</li> <li><a href="https://eco-actions.web.cern.ch/fr/node/541">Ateliers Fresque du climat.</a></li> </ul> <p><strong>Les projets du club&nbsp;:</strong></p> <ul> <li>Un jardin partage au CERN.</li> <li>Atelier de r&eacute;paration.</li> <li>Librairie d&rsquo;outils</li> <li>Ateliers z&eacute;ros d&eacute;chets.</li> </ul> <p>Et d&rsquo;autres, venez apporter votre pierre &agrave; l&rsquo;&eacute;difice et lancer votre &eacute;co projet.</p> <p>Retrouvez tous les projets du club sur notre <a href="https://eco-actions.web.cern.ch/fr/news" target="_blank">site internet</a>.</p> <p>&nbsp;</p> NO CERN Bulletin noicon 3 43/2021 CERN Bulletin 3 44/2021 CERN Bulletin 2330225 188557 http://cds.cern.ch/record/2788719/files/ECO-Actions_image.png 2330225 137816 http://cds.cern.ch/record/2788719/files/ECO-Actions_image.png?subformat=icon icon staff.bulletin@cern.ch lenka.thomas.bajbarova@cern.ch BULLETINSTAFF 2784457 20250120183426.0 oai:cds.cern.ch:2784457 cerncds:FULLTEXT CERN-STUDENTS-Note-2021-207 eng Al Rumaih, Amani Ahmed H AUTHOR|(CDS)2773325 AUTHOR|(SzGeCERN)853482 amani.ahmed.h.al.rumaih@cern.ch Online Summer Student Program at CERN Research Internship Report: Environmental Expander (EnviE) 2021 CERN Geneva 18 Oct 2021 The goal of this internship is to write a code using Lua programming language that measures the signals from both the humidity and the temperature sensors. The environmental board, which is based on ESP8266, is equipped with platinum thin film Resistance Temperature Detector (RTD) and a Honeywell HIH-4021-003 calibrated and filtered sensor. To measure the signals, the analog-to-digital (ADC) response is converted using a voltage-temperature relationship. The code is broken into three main parts: connecting the device to Wi-Fi, converting ADC values, and creating a website to display the results. Due to time restrictions and the remote setting of the internship, only the solver that does the calculations for converting ADC responses was written. CERN EDS SzGeCERN Physics in General CERN INTNOTE PUBL CERN. Geneva. Department http://cds.cern.ch/record/2784457/files/internship report.pdf Access to fulltext 2328303 1124448 ana.dordevic@cern.ch n 202142 12 PUBLIC https://repository.cern/legacy/record/2784457 INTNOTEPUBL NOTE MIGRATED 2783178 SzGeCERN 20211005211156.0 DOI 10.1016/j.nantod.2021.101270 oai:cds.cern.ch:2783178 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2021-10-05T04:00:04Z marcxml oai:inspirehep.net:1938013 2021-10-04T14:50:56Z Inspire 1938013 eng Goodman, Sheila M U. Washington, Seattle (main) submitter Scalable manufacturing of fibrous nanocomposites for multifunctional liquid sensing 2021 8 p submitter Cellulose-based paper electronics is an attractive technology to meet the growing demands for naturally abundant, biocompatible, biodegradable, flexible, inexpensive, lightweight and highly miniaturizable sensory materials. The price reduction of industrial carbon nanotube (CNT) grades offers opportunities to manufacture electrically conductive papers whose resistivity is responsive to environmental stimuli, such as the presence of water or organic solvents. Here, a highly sensitive paper nanocomposite is developed by integrating CNTs into a hierarchical network of pulp fibers and nanofibrillated cellulose. The aqueous-phase dynamic web forming process enables the scalable production of sensory paper nanocomposites with minimal nanoparticle loss due to the tailored interfacial bonding between CNT and cellulose components. The resulting materials are applied as multifunctional liquid sensors, such as leak detection and wave monitoring. The sensitivity to liquid water spans an outstanding four orders of magnitude even after 30 cycles and 6-month natural aging, due to the hydroexpansion of the hierarchical cellulose network, which alters the intertube distance between neighboring CNTs. The re-organization of percolated CNTs modifies the electron transport in wet areas of the sheet, which can be predicted by an equivalent circuit of resistors for the rapid detection and quantification of various liquids over large surfaces. CC-BY-4.0 https://creativecommons.org/licenses/by/4.0/ © 2021 Published by Elsevier Ltd. SzGeCERN Detectors and Experimental Techniques ARTICLE CERN Tortajada, Ignacio Asensi CERN U. Valencia (main) Haslbeck, Florian CERN Oyulmaz, Kaan Yüksel CERN Abant Izzet Baysal U. Rummler, André CERN Sánchez, Carlos Solans CERN País, Jose Torres U. Valencia (main) Denizli, Haluk Abant Izzet Baysal U. Haunreiter, Kurt J U. Washington, Seattle (main) Dichiara, Anthony B U. Washington, Seattle (main) 101270 2021 Nano Today 40 2325711 4771225 http://cds.cern.ch/record/2783178/files/1-s2.0-S174801322100195X-main.pdf Fulltext 13 ARTICLE 2790922 SzGeCERN 20230203144223.0 DOI 10.5281/zenodo.4267949 oai:cds.cern.ch:2790922 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN Inspire 1970573 ISRM-EUROCK-2020-011 eng Haas, Maximilan maximilian.mathias.haas@cern.ch CERN Montanuniv., Leoben submitter A mineralogical re-use classification model of molasse rock mass in the Geneva Basin 2020 8 p submitter The Future Circular Collider (FCC) aims to become the largest and most powerful particle accelerator in the world located in parts of France and Switzerland. In order to host such an ambitious machine, a tunnel with a length of 97.75 km is currently under feasibility study at the European Organization for Nuclear Research (CERN). One of the study’s main challenge is the handling of more than 9.1 million m3 of tunnel excavation material. As a matter of fact, this requires a sophisticated geo-scientific and technical classification of FCC’s proposed excavated geological units, respectively the molasse rock mass, in terms of re-use and disposal scenarios and to generally considerate its environmental and economic impact. The paper casts a glance at the arising scientific opportunity to classify the excavated tunnel material in future using a mineralogical approach from macroscopic to microscopic scale. Analyses show nickel and chromium minerals within the upper and anhydrite in the upper and lower molasse parts. Nickel and chromium concentrations pollute the molasse rock mass but could imply potential mining as a re-use scenario. Anhydrite likely causes tunnel construction issues when in contact with water. The proposed classification model serves as a link to French and Swiss legislation as well as an European technical guideline concerning re-use of tunnel excavation material on any international construction site. It simplifies and delivers the basis for future contractual models from a client’s and contractor’s perspective under conditions and protection of national, international and European Union legislation. CC-BY-4.0 https://creativecommons.org/licenses/by/4.0/legalcode INSPIRE Other ARTICLE CERN CERN FCC De Haller, A   U. Geneva (main) Moscariello, A   U. Geneva (main) Scibile, L   CERN Benedikt, M   CERN Gegenhuber, N   Montanuniv., Leoben Galler, R   Montanuniv., Leoben 2338104 1437997 http://cds.cern.ch/record/2790922/files/EUROCK2020_paper_Haas_et_al.pdf Fulltext https://onepetro.org/ISRMEUROCK/proceedings/EUROCK20/All-EUROCK20/ISRM-EUROCK-2020-011/449610#.YZz0iKR4lLw Link to server 13 2790869 trondheim20200614 ARTICLE ConferencePaper 2790920 SzGeCERN 20211123153512.0 DOI 10.1016/j.jclepro.2021.128049 oai:cds.cern.ch:2790920 cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:1970575 2021-11-18T14:15:39Z 2021-11-19T05:00:16Z marcxml Inspire 1970575 eng Haas, Maximilian CERN Montanuniv., Leoben submitter Applicability of excavated rock material: A European technical review implying opportunities for future tunnelling projects 2021 submitter The European Organization for Nuclear Research (CERN) is a world-wide leading organisation in the field of particle physics and operation of high-class particle accelerators. Since 2013, CERN has undertaken feasibility investigations for a particle accelerator, named Future Circular Collider (FCC) to be installed within a 90–100 km subsurface infrastructure likely to enter construction phase after 2030. An important aspect of its construction and environmental impact assessment is the management of approximately 9.1 million m3 of excavated rock and soil. The aim of this paper is to thoroughly review the applications of excavated material across European subsurface construction projects from a technical point of view and set them into context with studies currently ongoing for FCC. We propose a conceptual flow model for rock characterisation with respect to both applicability of excavated material and tunnelling excavation techniques for future international subsurface construction projects. The review has revealed a vast and encouraging potential across different European construction sites efficiently using excavated rock and soil over the past decade ranging from concrete production, geopolymer production, embankment and landfilling. Examples of reviewed subsurface tunnelling projects are likely to be applied for FCC including concrete production, clay-sealing for embankments, geopolymer face stabilization, re-cultivation or agricultural usage as mixed soil material or sustainable waste disposal. publication Elsevier Ltd. 2021 INSPIRE Other ARTICLE CERN CERN FCC Mongeard, Laëtitia Lyon, Ecole Normale Superieure Ulrici, Luisa CERN D'Aloïa, Laetitia CETU, Bron Cherrey, Agnès CETU, Bron Galler, Robert Montanuniv., Leoben Benedikt, Michael CERN 128049 J. Cleaner Prod. 315 2021 13 ARTICLE 2790624 20230127133036.0 DOI IOP 10.1088/1748-0221/16/11/P11014 oai:cds.cern.ch:2790624 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2107.09364 oai:inspirehep.net:1888023 https://inspirehep.net/api/oai2d Inspire 2021-12-09T02:55:06Z 2021-12-10T03:00:08Z marcxml true Inspire 1888023 arXiv arXiv:2107.09364 physics.ins-det eng Abbas, M. KIT, Karlsruhe Karlsruhe Institute of Technology, Karlsruhe, Germany IOP Performance of a triple-GEM demonstrator in pp collisions at the CMS detector 2021-11-12 2021-07-20 10 p arXiv 10 pages, 5 figures IOP After the Phase-2 high-luminosity upgrade to the Large Hadron Collider (LHC), the collision rate and therefore the background rate will significantly increase, particularly in the high η region. To improve both the tracking and triggering of muons, the Compact Muon Solenoid (CMS) Collaboration plans to install triple-layer Gas Electron Multiplier (GEM) detectors in the CMS muon endcaps. Demonstrator GEM detectors were installed in CMS during 2017 to gain operational experience and perform a preliminary investigation of detector performance. We present the results of triple-GEM detector performance studies performed in situ during normal CMS and LHC operations in 2018. The distribution of cluster size and the efficiency to reconstruct high pT muons in proton-proton collisions are presented as well as the measurement of the environmental background rate to produce hits in the GEM detector. arXiv After the Phase-2 high-luminosity upgrade to the Large Hadron Collider (LHC), the collision rate and therefore the background rate will significantly increase, particularly in the high $\eta$ region. To improve both the tracking and triggering of muons, the Compact Muon Solenoid (CMS) Collaboration plans to install triple-layer Gas Electron Multiplier (GEM) detectors in the CMS muon endcaps. Demonstrator GEM detectors were installed in CMS during 2017 to gain operational experience and perform a preliminary investigation of detector performance. We present the results of triple-GEM detector performance studies performed in situ during normal CMS and LHC operations in 2018. The distribution of cluster size and the efficiency to reconstruct high $p_T$ muons in proton--proton collisions are presented as well as the measurement of the environmental background rate to produce hits in the GEM detector. CC-BY-4.0 IOP http://creativecommons.org/licenses/by/4.0/ preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ DOKIFILE:iop-2021-11-13-09-24-JINST16_11 L 2021-07-26 abs L 2021-07-26 printed hep-ex arXiv Particle Physics - Experiment SzGeCERN physics.ins-det arXiv Detectors and Experimental Techniques SzGeCERN CERN ARTICLE Abbrescia, M. Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Abdalla, H. Ain Shams U., Cairo American U., Cairo Academy of Scientific Research and Technology - ENHEP, Cairo, Egypt Cairo University, Cairo, Egypt Abdelalim, A. Ain Shams U., Cairo Zewail City Sci. Technol., Giza Academy of Scientific Research and Technology - ENHEP, Cairo, Egypt Helwan University, also at Zewail City of Science and Technology, Cairo, Egypt AbuZeid, S. Ain Shams U., Cairo Academy of Scientific Research and Technology - ENHEP, Cairo, Egypt Ain Shams University, Cairo, Egypt Agapitos, A. Peking U. Peking University, Beijing, China Ahmad, A. NCP, Islamabad National Center for Physics, Islamabad, Pakistan Ahmed, A. Delhi U. Delhi University, Delhi, India Ahmed, W. NCP, Islamabad National Center for Physics, Islamabad, Pakistan Aimè, C. INFN, Pavia Università di Pavia and INFN Sezione di Pavia, Pavia, Italy Aruta, C. Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Asghar, I. NCP, Islamabad National Center for Physics, Islamabad, Pakistan Aspell, P. CERN CERN, Geneva, Switzerland Avila, C. Andes U., Bogota University de Los Andes, Bogota, Colombia Babbar, J. Panjab U. Panjab University, Chandigarh, India Ban, Y. Peking U. Peking University, Beijing, China Band, R. UC, Davis University of California, Davis, U.S.A. Bansal, S. Panjab U. Panjab University, Chandigarh, India Benussi, L. Frascati Laboratori Nazionali di Frascati INFN, Frascati, Italy Bhatnagar, V. Panjab U. Panjab University, Chandigarh, India Bianco, M. CERN CERN, Geneva, Switzerland Bianco, S. Frascati Laboratori Nazionali di Frascati INFN, Frascati, Italy Black, K. Wisconsin U., Madison University of Wisconsin, Madison, U.S.A. Borgonovi, L. Bologna U. INFN, Bologna Università di Bologna and INFN Sezione di Bologna, Bologna, Italy Bouhali, O. Texas A-M Texas A&M University, College Station, U.S.A. Braghieri, A. INFN, Pavia Università di Pavia and INFN Sezione di Pavia, Pavia, Italy Braibant, S. Bologna U. INFN, Bologna Università di Bologna and INFN Sezione di Bologna, Bologna, Italy Butalla, S. Florida Inst. Tech. Florida Institute of Technology, Melbourne, U.S.A. Calzaferri, S. INFN, Pavia Università di Pavia and INFN Sezione di Pavia, Pavia, Italy Caponero, M. Frascati Laboratori Nazionali di Frascati INFN, Frascati, Italy Carlson, J. UCLA University of California, Los Angeles, U.S.A. Cassese, F. INFN, Naples Naples U. Università di Napoli and INFN Sezione di Napoli, Napoli, Italy Cavallo, N. INFN, Naples Naples U. Università di Napoli and INFN Sezione di Napoli, Napoli, Italy Chauhan, S.S. Panjab U. Panjab University, Chandigarh, India Colafranceschi, S. Frascati Laboratori Nazionali di Frascati INFN, Frascati, Italy Colaleo, A. Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Garcia, A. Conde CERN CERN, Geneva, Switzerland Dalchenko, M. Texas A-M Texas A&M University, College Station, U.S.A. De Iorio, A. INFN, Naples Naples U. Università di Napoli and INFN Sezione di Napoli, Napoli, Italy De Lentdecker, G. Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Olio, D. Dell Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy De Robertis, G. Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Dharmaratna, W. Colombo U. University of Ruhuna, Matara, Sri Lanka Dildick, S. Texas A-M Texas A&M University, College Station, U.S.A. Dorney, B. Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Erbacher, R. UC, Davis University of California, Davis, U.S.A. Fabozzi, F. INFN, Naples Naples U. Università di Napoli and INFN Sezione di Napoli, Napoli, Italy Fallavollita, F. CERN CERN, Geneva, Switzerland Ferraro, A. INFN, Pavia Università di Pavia and INFN Sezione di Pavia, Pavia, Italy Fiorina, D. INFN, Pavia Università di Pavia and INFN Sezione di Pavia, Pavia, Italy Fontanesi, E. Bologna U. INFN, Bologna Università di Bologna and INFN Sezione di Bologna, Bologna, Italy Franco, M. Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Galloni, C. Wisconsin U., Madison University of Wisconsin, Madison, U.S.A. Giacomelli, P. Bologna U. INFN, Bologna Università di Bologna and INFN Sezione di Bologna, Bologna, Italy Gigli, S. INFN, Pavia Università di Pavia and INFN Sezione di Pavia, Pavia, Italy Gilmore, J. Texas A-M Texas A&M University, College Station, U.S.A. Gola, M. Delhi U. Delhi University, Delhi, India Gruchala, M. CERN CERN, Geneva, Switzerland Gutierrez, A. Wayne State U. Wayne State University, Detroit, U.S.A. Hadjiiska, R. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Hakkarainen, T. Lappeenranta U. Tech. Lappeenranta University of Technology, Lappeenranta, Finland Hauser, J. UCLA University of California, Los Angeles, U.S.A. Hoepfner, K. Aachen, Tech. Hochsch. RWTH Aachen University, III. Physikalisches Institut A, Aachen, Germany Hohlmann, M. Florida Inst. Tech. Florida Institute of Technology, Melbourne, U.S.A. Hoorani, H. NCP, Islamabad National Center for Physics, Islamabad, Pakistan Huang, T. Texas A-M Texas A&M University, College Station, U.S.A. Iaydjiev, P. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Irshad, A. Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Iorio, A. INFN, Naples Naples U. Università di Napoli and INFN Sezione di Napoli, Napoli, Italy Ivone, F. Aachen, Tech. Hochsch. RWTH Aachen University, III. Physikalisches Institut A, Aachen, Germany Jang, W. Seoul Natl. U. University of Seoul, Seoul, Korea Jaramillo, J. Antioquia U. Universidad de Antioquia, Medellin, Colombia Juodagalvis, A. Vilnius U. Vilnius University, Vilnius, Lithuania Juska, E. Texas A-M Texas A&M University, College Station, U.S.A. Kailasapathy, B. Colombo U. University of Colombo, Colombo, Sri Lanka Trincomalee Campus, Eastern University, Sri Lanka, Nilaveli, Sri Lanka Kamon, T. Texas A-M Texas A&M University, College Station, U.S.A. Kang, Y. Seoul Natl. U. University of Seoul, Seoul, Korea Karchin, P. Wayne State U. Wayne State University, Detroit, U.S.A. Kaur, A. Panjab U. Panjab University, Chandigarh, India Kaur, H. Panjab U. Panjab University, Chandigarh, India Keller, H. Aachen, Tech. Hochsch. RWTH Aachen University, III. Physikalisches Institut A, Aachen, Germany Kim, H. Texas A-M Texas A&M University, College Station, U.S.A. Kim, J. IISER, Trivandrum Seoul National University, Seoul, Korea Kim, S. Seoul Natl. U. University of Seoul, Seoul, Korea Ko, B. Seoul Natl. U. University of Seoul, Seoul, Korea Kumar, A. Delhi U. Delhi University, Delhi, India Kumar, S. Panjab U. Panjab University, Chandigarh, India Lacalamita, N. Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Lee, J.S.H. Seoul Natl. U. University of Seoul, Seoul, Korea Levin, A. Peking U. Peking University, Beijing, China Li, Q. Peking U. Peking University, Beijing, China Licciulli, F. Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Lista, L. INFN, Naples Naples U. Università di Napoli and INFN Sezione di Napoli, Napoli, Italy Liyanage, K. Colombo U. University of Ruhuna, Matara, Sri Lanka Loddo, F. Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Luhach, M. Panjab U. Panjab University, Chandigarh, India Maggi, M. Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Maghrbi, Y. AUM, Kuwait College of Engineering and Technology, American University of the Middle East, Dasman, Kuwait Majumdar, N. Saha Inst. Saha Institute of Nuclear Physics, Kolkata, India Malagalage, K. Colombo U. University of Colombo, Colombo, Sri Lanka Malhotra, S. Texas A-M Texas A&M University, College Station, U.S.A. Martiradonna, S. Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy McLean, C. UC, Davis University of California, Davis, U.S.A. Merlin, J. Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Misheva, M. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Mocellin, G. Aachen, Tech. Hochsch. RWTH Aachen University, III. Physikalisches Institut A, Aachen, Germany Moureaux, L. Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Muhammad, A. NCP, Islamabad National Center for Physics, Islamabad, Pakistan Muhammad, S. NCP, Islamabad National Center for Physics, Islamabad, Pakistan Mukhopadhyay, S. Saha Inst. Saha Institute of Nuclear Physics, Kolkata, India Naimuddin, M. Delhi U. Delhi University, Delhi, India Nuzzo, S. Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Oliveira, R. CERN CERN, Geneva, Switzerland Paolucci, P. INFN, Naples Naples U. Università di Napoli and INFN Sezione di Napoli, Napoli, Italy Park, I.C. Seoul Natl. U. University of Seoul, Seoul, Korea Passamonti, L. Frascati Laboratori Nazionali di Frascati INFN, Frascati, Italy Passeggio, G. INFN, Naples Naples U. Università di Napoli and INFN Sezione di Napoli, Napoli, Italy Peck, A. UCLA University of California, Los Angeles, U.S.A. Pellecchia, A. Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Perera, N. Colombo U. University of Ruhuna, Matara, Sri Lanka Petre, L. Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Petrow, H. Lappeenranta U. Tech. Lappeenranta University of Technology, Lappeenranta, Finland Piccolo, D. Frascati Laboratori Nazionali di Frascati INFN, Frascati, Italy Pierluigi, D. Frascati Laboratori Nazionali di Frascati INFN, Frascati, Italy Raffone, G. Frascati Laboratori Nazionali di Frascati INFN, Frascati, Italy Rahmani, M. Florida Inst. Tech. Florida Institute of Technology, Melbourne, U.S.A. Ramirez, F. Antioquia U. Universidad de Antioquia, Medellin, Colombia Ranieri, A. Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Rashevski, G. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Regnery, B. UC, Davis University of California, Davis, U.S.A. Ressegotti, M. INFN, Pavia Università di Pavia and INFN Sezione di Pavia, Pavia, Italy Riccardi, C. INFN, Pavia Università di Pavia and INFN Sezione di Pavia, Pavia, Italy Rodozov, M. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Romano, E. INFN, Pavia Università di Pavia and INFN Sezione di Pavia, Pavia, Italy Roskas, C. Gent U. Ghent University, Ghent, Belgium Rossi, B. INFN, Naples Naples U. Università di Napoli and INFN Sezione di Napoli, Napoli, Italy Rout, P. Saha Inst. Saha Institute of Nuclear Physics, Kolkata, India Ruiz, J.D. Antioquia U. Universidad de Antioquia, Medellin, Colombia Russo, A. Frascati Laboratori Nazionali di Frascati INFN, Frascati, Italy Safonov, A. Texas A-M Texas A&M University, College Station, U.S.A. Sahota, A.K. Panjab U. Panjab University, Chandigarh, India Saltzberg, D. UCLA University of California, Los Angeles, U.S.A. Saviano, G. Frascati Laboratori Nazionali di Frascati INFN, Frascati, Italy Shah, A. Delhi U. Delhi University, Delhi, India Sharma, A. CERN CERN, Geneva, Switzerland Sharma, R. Delhi U. Delhi University, Delhi, India Sheokand, T. Panjab U. Panjab University, Chandigarh, India Shopova, M. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Simone, F.M. Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Singh, J. Panjab U. Panjab University, Chandigarh, India Sonnadara, U. Colombo U. University of Colombo, Colombo, Sri Lanka Starling, E. Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Stone, B. UCLA University of California, Los Angeles, U.S.A. Sturdy, J. Wayne State U. Wayne State University, Detroit, U.S.A. Sultanov, G. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Szillasi, Z. KLTE-ATOMKI Institute for Nuclear Research ATOMKI, Debrecen, Hungary Teague, D. Wisconsin U., Madison University of Wisconsin, Madison, U.S.A. Teyssier, D. KLTE-ATOMKI Institute for Nuclear Research ATOMKI, Debrecen, Hungary Tuuva, T. Lappeenranta U. Tech. Lappeenranta University of Technology, Lappeenranta, Finland Tytgat, M. Gent U. Ghent University, Ghent, Belgium Vai, I. INFN, Pavia Università di Bergamo and INFN Sezione di Pavia, Pavia, Italy Vanegas, N. Antioquia U. Universidad de Antioquia, Medellin, Colombia Venditti, R. Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Verwilligen, P. Bari U. INFN, Bari Politecnico di Bari, Università di Bari and INFN Sezione di Bari, Bari, Italy Vetens, W. Wisconsin U., Madison University of Wisconsin, Madison, U.S.A. Virdi, A.K. Panjab U. Panjab University, Chandigarh, India Vitulo, P. INFN, Pavia Università di Pavia and INFN Sezione di Pavia, Pavia, Italy Wajid, A. NCP, Islamabad National Center for Physics, Islamabad, Pakistan Wang, D. Peking U. Peking University, Beijing, China Wang, K. Peking U. Peking University, Beijing, China Watson, I.J. Seoul Natl. U. University of Seoul, Seoul, Korea Wickramage, N. Colombo U. University of Ruhuna, Matara, Sri Lanka Wickramarathna, D.D.C. Colombo U. University of Colombo, Colombo, Sri Lanka Yang, S. Seoul Natl. U. University of Seoul, Seoul, Korea Yang, U. IISER, Trivandrum Seoul National University, Seoul, Korea Yang, Y. Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Yongho, J. Korea U. Korea University, Seoul, Korea Yoon, I. IISER, Trivandrum Seoul National University, Seoul, Korea You, Z. SYSU, Guangzhou Sun Yat-Sen University, Guangzhou, China Yu, I. Korea U. Korea University, Seoul, Korea Zaleski, S. Aachen, Tech. Hochsch. RWTH Aachen University, III. Physikalisches Institut A, Aachen, Germany P11014 11 2021 JINST 16 2336971 21359 http://cds.cern.ch/record/2790624/files/cls_ch28lay2ieta7.png 00011 The distribution of cluster size of the GEM RecHits for each of the \(\eta\) partitions in chamber 28, layer 2. The \(\eta\) partitions are numbered from 1 at lowest \(\eta\), to 8 at highest \(\eta\). The cluster size increases as the \(\eta\) partition number increases as the trapezoidal detector shape means the strips are closer together at high \(\eta\). 2336972 21917 http://cds.cern.ch/record/2790624/files/cls_ch28lay2ieta1.png 00005 The distribution of cluster size of the GEM RecHits for each of the \(\eta\) partitions in chamber 28, layer 2. The \(\eta\) partitions are numbered from 1 at lowest \(\eta\), to 8 at highest \(\eta\). The cluster size increases as the \(\eta\) partition number increases as the trapezoidal detector shape means the strips are closer together at high \(\eta\). 2336973 21427 http://cds.cern.ch/record/2790624/files/cls_ch28lay2ieta2.png 00006 The distribution of cluster size of the GEM RecHits for each of the \(\eta\) partitions in chamber 28, layer 2. The \(\eta\) partitions are numbered from 1 at lowest \(\eta\), to 8 at highest \(\eta\). The cluster size increases as the \(\eta\) partition number increases as the trapezoidal detector shape means the strips are closer together at high \(\eta\). 2336974 9503296 http://cds.cern.ch/record/2790624/files/document.pdf Fulltext 2336975 21554 http://cds.cern.ch/record/2790624/files/cls_ch28lay2ieta4.png 00008 The distribution of cluster size of the GEM RecHits for each of the \(\eta\) partitions in chamber 28, layer 2. The \(\eta\) partitions are numbered from 1 at lowest \(\eta\), to 8 at highest \(\eta\). The cluster size increases as the \(\eta\) partition number increases as the trapezoidal detector shape means the strips are closer together at high \(\eta\). 2336976 21992 http://cds.cern.ch/record/2790624/files/cls_ch28lay2ieta5.png 00009 The distribution of cluster size of the GEM RecHits for each of the \(\eta\) partitions in chamber 28, layer 2. The \(\eta\) partitions are numbered from 1 at lowest \(\eta\), to 8 at highest \(\eta\). The cluster size increases as the \(\eta\) partition number increases as the trapezoidal detector shape means the strips are closer together at high \(\eta\). 2336977 22561 http://cds.cern.ch/record/2790624/files/cls_ch28lay2ieta6.png 00010 The distribution of cluster size of the GEM RecHits for each of the \(\eta\) partitions in chamber 28, layer 2. The \(\eta\) partitions are numbered from 1 at lowest \(\eta\), to 8 at highest \(\eta\). The cluster size increases as the \(\eta\) partition number increases as the trapezoidal detector shape means the strips are closer together at high \(\eta\). 2336978 3806131 http://cds.cern.ch/record/2790624/files/EventDisplay_ZbosonEvent_Full3D_transparent_closeup.png 00003 Event display showing a reconstructed muon (the red lines) passing through the GEM detector (the blue trapezoidal boxes) where a GEM hit has been reconstructed along the muon path in $R$-$z$ view (bottom left) and azimuthal view (bottom right). 2336979 22137 http://cds.cern.ch/record/2790624/files/cls_ch28lay2ieta8.png 00012 The distribution of cluster size of the GEM RecHits for each of the \(\eta\) partitions in chamber 28, layer 2. The \(\eta\) partitions are numbered from 1 at lowest \(\eta\), to 8 at highest \(\eta\). The cluster size increases as the \(\eta\) partition number increases as the trapezoidal detector shape means the strips are closer together at high \(\eta\). 2336980 9476137 http://cds.cern.ch/record/2790624/files/2107.09364.pdf Fulltext 2336981 1968387 http://cds.cern.ch/record/2790624/files/EventDisplay_ZbosonEvent_half_closeup.png 00004 Event display showing a reconstructed muon (the red lines) passing through the GEM detector (the blue trapezoidal boxes) where a GEM hit has been reconstructed along the muon path in $R$-$z$ view (bottom left) and azimuthal view (bottom right). 2336982 24867 http://cds.cern.ch/record/2790624/files/efficiency-roll_ch28lay2.png 00013 Detector efficiency for the demonstrator chambers as measured using muon reconstructed in each of the \(\eta\) partitions of one of the GEM demonstrator chambers. The inactive strip fraction indicates the fraction of strips unable to collect data during the test period. 2336983 21340 http://cds.cern.ch/record/2790624/files/cls_ch28lay2ieta3.png 00007 The distribution of cluster size of the GEM RecHits for each of the \(\eta\) partitions in chamber 28, layer 2. The \(\eta\) partitions are numbered from 1 at lowest \(\eta\), to 8 at highest \(\eta\). The cluster size increases as the \(\eta\) partition number increases as the trapezoidal detector shape means the strips are closer together at high \(\eta\). 2336984 2841128 http://cds.cern.ch/record/2790624/files/EventDisplay_ZbosonEvent_Full3D.png 00002 Event display showing a reconstructed muon (the red lines) passing through the GEM detector (the blue trapezoidal boxes) where a GEM hit has been reconstructed along the muon path in $R$-$z$ view (bottom left) and azimuthal view (bottom right). 2336985 51567 http://cds.cern.ch/record/2790624/files/bkg_ch28ly2_lin.png 00014 Hit rate as a function of the instantaneous luminosity calculated for each $\eta$ partition of chamber 28 layer 2 (left). The data points are corrected for the effective readout area and active time as described in the text. Hit rate as a function of the distance from the beam pipe where the value of the data points are obtained from the linear fits to hit rate versus instantaneous luminosity of $1.5 \times 10^{34}$ cm$^{-2}$ s$^{-1}$ (right). The error bars are obtained from uncertainties in the linear fit and the curve is an exponential function. 2336986 284894 http://cds.cern.ch/record/2790624/files/SliceTestLayout.png 00001 Figure showing a quadrant of the $R$-$z$ cross-section of the CMS detector with the position of the GE1/1 detector highlighted in red (left), and an $x$-$y$ view showing the locations where the demonstrator detectors were installed, showing the 4 chambers used in the studies in slot 1, and the chamber with upgraded electronics that was not included in the data taking in slot 2 (right). 2336987 643542 http://cds.cern.ch/record/2790624/files/GEM-GE11-RZ.png 00000 Figure showing a quadrant of the $R$-$z$ cross-section of the CMS detector with the position of the GE1/1 detector highlighted in red (left), and an $x$-$y$ view showing the locations where the demonstrator detectors were installed, showing the 4 chambers used in the studies in slot 1, and the chamber with upgraded electronics that was not included in the data taking in slot 2 (right). 2336988 21491 http://cds.cern.ch/record/2790624/files/bkg_ch28ly2_r_15.png 00015 Hit rate as a function of the instantaneous luminosity calculated for each $\eta$ partition of chamber 28 layer 2 (left). The data points are corrected for the effective readout area and active time as described in the text. Hit rate as a function of the distance from the beam pipe where the value of the data points are obtained from the linear fits to hit rate versus instantaneous luminosity of $1.5 \times 10^{34}$ cm$^{-2}$ s$^{-1}$ (right). The error bars are obtained from uncertainties in the linear fit and the curve is an exponential function. 13 ARTICLE 2790110 20250515232244.0 oai:cds.cern.ch:2790110 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN CERN-THESIS-2021-189 eng AUTHOR|(CDS)2729436 AUTHOR|(SzGeCERN)848935 Arena, Maria Cristina maria.cristina.arena@cern.ch Pavia University and INFN (IT) Optimization of CF4 recuperation from the gas mixture used in the CSC gas system at the Compact Muon Solenoid (CMS) at CERN Ottimizzazione del recupero di CF4 dalla miscela gassosa impiegata nei rivelatori CSC presso l’esperimento Compact Muon Solenoid (CMS) al CERN 138 p Presented 14 Sep 2021 Master Pavia University 2021-09-01 The Compact Muon Solenoid (CMS) is one of the four Experiments operating at the Large Hadron Collider (LHC) at CERN. Since Muons represent a very clean probe for many events of interest, the Muon detection system has a fundamental importance for identification and a detailed characterization of particles collision in LHC Experiments. Each muon station consists of several layers of aluminum drift tubes (DT) in the barrel region and cathode strip chambers (CSC) in the endcap region, complemented by resistive plate chambers (RPC), both in barrel and endcap region. The Muon detector system is based on gaseous detectors, which works through the gas ionization. The main component of gas detectors is the gas mixture that must be correct and stable for the properly functioning of systems and the use of expensive and greenhouse gases cannot be avoided because of physic requirements that impose certain choices on the gas mixture composition. Therefore, the aim of this thesis consists in a detailed study of the CF4 recuperation system, used for the CMS CSC detector (that operates with a gas mixture of Ar/CO2/CF4 40/50/10), with the final goal of optimizing its economic and environmental efficiency. Based on warm separation process, the recovery system includes membranes and adsorption modules for CO2 and CF4 and an efficient CO2 removal is mandatory to reach a good CF4 adsorption capacity. The CF4 Membrane Module and the CF4 Absorber Module were studied and optimized in the light of gas chromatography measurements. The effects of experimental parameters affecting the overall functioning of the modules, such as the input flow stream and gas pressure, have been investigated. In the light of the experimental evidence reported in this Thesis, the new membrane module setup and CF4 absorber configuration ensure a remarkable increase of the average weekly efficiency from ~45% in the period November 2020-January 2021 to ~66% in the period February-June 2021. CERN EDS SzGeCERN Chemical Physics and Chemistry SzGeCERN Detectors and Experimental Techniques CERN THESIS CERN LHC CMS Mandelli, Beatrice dir. Guida, Roberto dir. Profumo, Antonella dir. EP 2333010 4452220 http://cds.cern.ch/record/2790110/files/CERN-THESIS-2021-189.pdf maria.cristina.arena@cern.ch n 202145 a2021 14 PUBLIC https://repository.cern/legacy/record/2790110 THESIS MIGRATED 2798204 SzGeCERN 20211215213403.0 CONFERENCE PROCEEDINGS 42 ILSSYNC ILSLINK PROCEEDINGS Weiland, Michèle ed. Juckeland, Guido ed. Alam, Sadaf ed. Jagode, Heike ed. Cham Springer 2019 This book constitutes the refereed proceedings of the 34th International Conference on High Performance Computing, ISC High Performance 2019, held in Frankfurt/Main, Germany, in June 2019. The 17 revised full papers presented were carefully reviewed and selected from 70 submissions. The papers cover a broad range of topics such as next-generation high performance components; exascale systems; extreme-scale applications; HPC and advanced environmental engineering projects; parallel ray tracing - visualization at its best; blockchain technology and cryptocurrency; parallel processing in life science; quantum computers/computing; what's new with cloud computing for HPC; parallel programming models for extreme-scale computing; workflow management; machine learning and big data analytics; and deep learning and HPC. 9783030343552 print version, paperback 9783030343569 ebook DOI 10.1007/978-3-030-34356-9 oai:cds.cern.ch:2798204 cerncds:CONF INSPIRE-CNUM C19-06-16.3 SzGeCERN Computing and Computers SzGeCERN Workshop 20190616 High Performance Computing: ISC High Performance 2019 International Workshops, Frankfurt, Germany, June 16-20, 2019, Revised Selected Papers Frankfurt, Germany 16 - 20 Jun 2019 2019 frankfurt20190616 DE 20190620 202112 h 202150 Lecture notes in computer science. Theoretical computer science and general issues 11887 eng ebook 2799359 SzGeCERN 20220117124213.0 DOI 10.1109/jsyst.2019.2920135 oai:cds.cern.ch:2799359 cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:1991636 2022-01-11T14:53:41Z 2022-01-12T05:00:05Z marcxml Inspire 1991636 eng Adamidi, Eleni S ORCID:0000-0001-9925-1560 Natl. Tech. U., Athens submitter A Safety System for Human Radiation Protection and Guidance in Extreme Environmental Conditions 2020 11 p submitter We present a safety system designed to ensure human radiation protection and provide real-time guidance in extreme environmental conditions. This system was developed and tested in the complex experimental infrastructure of the ATLAS underground cavern at CERN, where personnel safety is crucial, especially during maintenance periods. Safety in such environments is challenging and extremely important due to the high complexity of the working space, the radioactivity, and the stress that people experience. The safety system we propose consists of three sub-systems: a data acquisition (DAQ) system, a control system (CS), and a remote monitoring system (MS). The DAQ system acquires data wirelessly from various environmental and biological sensors installed in the outfit of the user. The CS controls and creates alerts to warn the user in case of emergency. The MS is developed to remotely supervise the health status of the personnel and provide real-time guidance during the performance of complex activities inside the ATLAS cavern. Radiation background monitoring is also achieved through the MS via the communication of the DAQ system with a gamma camera placed in the cavern. This system is developed to supervise multiple interventions and communicate with numerous users in real time, and it is adaptable to various extreme environmental conditions. IEEE 2019 SzGeCERN Accelerators and Storage Rings ARTICLE CERN CERN LHC ATLAS Gazis, Evangelos N Natl. Tech. U., Athens CERN European Organization for Nuclear Research, CERN, Geneva 1211, Switzerland Nikita, Konstantina S ORCID:0000-0001-8255-4354 Natl. Tech. U., Athens 1384-1394 1 IEEE Syst. J. 14 2020 13 ARTICLE 2799352 SzGeCERN 20220125120344.0 DOI 10.3390/rs12162532 oai:cds.cern.ch:2799352 cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:1992417 2022-01-11T18:10:04Z 2022-01-12T05:00:03Z marcxml Inspire 1992417 eng Nemni, Edoardo CERN submitter Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery 2020 submitter Rapid response to natural hazards, such as floods, is essential to mitigate loss of life and the reduction of suffering. For emergency response teams, access to timely and accurate data is essential. Satellite imagery offers a rich source of information which can be analysed to help determine regions affected by a disaster. Much remote sensing flood analysis is semi-automated, with time consuming manual components requiring hours to complete. In this study, we present a fully automated approach to the rapid flood mapping currently carried out by many non-governmental, national and international organisations. We design a Convolutional Neural Network (CNN) based method which isolates the flooded pixels in freely available Copernicus Sentinel-1 Synthetic Aperture Radar (SAR) imagery, requiring no optical bands and minimal pre-processing. We test a variety of CNN architectures and train our models on flood masks generated using a combination of classical semi-automated techniques and extensive manual cleaning and visual inspection. Our methodology reduces the time required to develop a flood map by 80%, while achieving strong performance over a wide range of locations and environmental conditions. Given the open-source data and the minimal image cleaning required, this methodology can also be integrated into end-to-end pipelines for more timely and continuous flood monitoring. SzGeCERN Engineering ARTICLE CERN Bullock, Joseph Durham U. (main) Belabbes, Samir CERN Bromley, Lars CERN 2532 16 Remote Sensing 12 2020 13 ARTICLE 2802114 20220624171345.0 oai:cds.cern.ch:2802114 cerncds:FULLTEXT CERN-ACC-NOTE-2022-0007 eng NIMMS-Note-006 Piacentini, Luca AUTHOR|(CDS)2771636 AUTHOR|(SzGeCERN)853364 Riga Technical University (LV) luca.piacentini@cern.ch Comparative Study on Scenarios for Rotating Gantry Mechanical Structures 2022 CERN Geneva 21 Feb 2022 17 p This technical note outlines a comparative study on scenarios of gantries mechanical design for ion-therapy of cancer, which is a crucial step toward the development of the next ion medical machine. Multiple scenarios were considered based on robustness of the design, size, weight and complexity, deformation and precision performances and costs, as well as environmental impact. Four prospective scenarios were identified, each of them capable of providing beam to at least 220° around the patient. One scenario is capable of providing treatment angles of 360°. This report will describe the unified methodology performed during the study in order to achieve unbiased results in a comprehensive manner. Results show that in statically balanced scenarios, considerable improvements can be reached in terms of safety, deformation, precision performances, complexity and costs of implementation. All scenarios are deemed suitable for further gantry design development. CERN EDS UNCL SzGeCERN Accelerators and Storage Rings Particle therapy CERN Ion therapy CERN Gantry CERN Mechanical design CERN CERN INTNOTE PUBLATS CERN LHC CERN Medical Applications CERN NIMMS Dassa, Luca AUTHOR|(CDS)2074186 AUTHOR|(SzGeCERN)695230 CERN Luca.Dassa@cern.ch Perini, Diego AUTHOR|(CDS)2071273 AUTHOR|(SzGeCERN)421671 CERN Diego.Perini@cern.ch Ratkus, Andris AUTHOR|(CDS)2743907 AUTHOR|(SzGeCERN)850141 Riga Technical University (LV) andris.ratkus@cern.ch Torims, Toms AUTHOR|(INSPIRE)INSPIRE-00665800 AUTHOR|(SzGeCERN)817644 AUTHOR|(CDS)2235785 Riga Technical University (LV) t.torims@cern.ch Vilcans, Janis AUTHOR|(CDS)2772221 AUTHOR|(SzGeCERN)853449 Riga Technical University (LV) janis.vilcans@cern.ch Vretenar, Maurizio AUTHOR|(CDS)2051361 AUTHOR|(SzGeCERN)439916 CERN Maurizio.Vretenar@cern.ch ATS CERN. Geneva. ATS Department http://cds.cern.ch/record/2802114/files/NIMMS_Note_006_Draft.pdf Access to fulltext 2351689 3518552 valerie.brunner@cern.ch n 202208 28 Mar 2022 valerie.brunner@cern.ch 12 PUBLIC INTNOTEATSPUBL NOTE 2801729 20220330175841.0 oai:cds.cern.ch:2801729 cerncds:FULLTEXT CERN-GRAPHICS-2022-002 AUTHOR|(CDS)2648648 AUTHOR|(SzGeCERN)835651 Perrey, Melissa Loyse melissa.loyse.perrey@cern.ch CERN CERN Innovation Programme on Environmental Applications infographics 2022 Geneva CERN 2022-02-16 General Photo The CERN Innovation Programme on Environmental Applications (CIPEA) aims at propelling CERN innovation potential in environmental technologies. Four main sectors with high impact potential and strong synergies with CERN’s technical domains of expertise have already been identified: renewable and low-carbon energy, clean transportation and future mobility, climate change and pollution control, sustainability and green science. CERN Fabienne Landua 2022 CERN EDS GRAPHICS SzGeCERN Industry and Technology SzGeCERN Graphics CERN Graphics CERN Knowledge Transfer & Technology CERN KT CERN innovation CERN Better Planet CERN Environment CERN Solar CERN Nature CERN Climate CERN sustainable development CERN PHOTO 2350909 918100 http://cds.cern.ch/record/2801729/files/Infographie-CIPEA_EN.png 2350909 11406 http://cds.cern.ch/record/2801729/files/Infographie-CIPEA_EN.png?subformat=icon-180 icon-180 2350909 220973 http://cds.cern.ch/record/2801729/files/Infographie-CIPEA_EN.png?subformat=icon-1440 icon-1440 2350909 72940 http://cds.cern.ch/record/2801729/files/Infographie-CIPEA_EN.png?subformat=icon-640 icon-640 2351832 911053 http://cds.cern.ch/record/2801729/files/CIPEA Glow Selected.png 2351833 919853 http://cds.cern.ch/record/2801729/files/Infographie-CIPEA_FR.png 2351832 11675 http://cds.cern.ch/record/2801729/files/CIPEA Glow Selected.png?subformat=icon-180 icon-180 2351832 254051 http://cds.cern.ch/record/2801729/files/CIPEA Glow Selected.png?subformat=icon-1440 icon-1440 2351832 79016 http://cds.cern.ch/record/2801729/files/CIPEA Glow Selected.png?subformat=icon-640 icon-640 2351833 11778 http://cds.cern.ch/record/2801729/files/Infographie-CIPEA_FR.png?subformat=icon-180 icon-180 2351833 226267 http://cds.cern.ch/record/2801729/files/Infographie-CIPEA_FR.png?subformat=icon-1440 icon-1440 2351833 75415 http://cds.cern.ch/record/2801729/files/Infographie-CIPEA_FR.png?subformat=icon-640 icon-640 2353383 78551 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-01.png 2353384 59235 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-02.png 2353385 78757 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-03.png 2353386 80166 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-04.png 2353387 73714 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-05.png 2353388 13322 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-06.png 2353383 105456 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-01.png?subformat=icon-1440 icon-1440 2353383 37152 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-01.png?subformat=icon-640 icon-640 2353383 7176 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-01.png?subformat=icon-180 icon-180 2353384 24300 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-02.png?subformat=icon-640 icon-640 2353384 5113 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-02.png?subformat=icon-180 icon-180 2353384 69281 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-02.png?subformat=icon-1440 icon-1440 2353385 105925 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-03.png?subformat=icon-1440 icon-1440 2353385 37362 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-03.png?subformat=icon-640 icon-640 2353385 7259 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-03.png?subformat=icon-180 icon-180 2353386 111155 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-04.png?subformat=icon-1440 icon-1440 2353386 39206 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-04.png?subformat=icon-640 icon-640 2353386 7173 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-04.png?subformat=icon-180 icon-180 2353387 34461 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-05.png?subformat=icon-640 icon-640 2353387 6755 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-05.png?subformat=icon-180 icon-180 2353387 97932 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-05.png?subformat=icon-1440 icon-1440 2353388 1450 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-06.png?subformat=icon-1440 icon-1440 2353388 309 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-06.png?subformat=icon-180 icon-180 2353388 472 http://cds.cern.ch/record/2801729/files/CIPEA_Logos-06.png?subformat=icon-640 icon-640 fabienne.marcastel@cern.ch n 202207 CERN <> 86 NOTVISIBLE GRAPHICS 2801258 20220307165958.0 oai:cds.cern.ch:2801258 cerncds:FULLTEXT OPEN-PHO-LIFE-2022-002 AUTHOR|(CDS)2628693 AUTHOR|(SzGeCERN)832265 Samson, Melissa melissa.samson@cern.ch CERN Women and Girls in Science and Technology, edition 2022 2022 Geneva CERN 2022-02-08 General Photo 11 February is the International Day of Women and Girls in Science. On this occasion, CERN, EPFL, UNIGE Scienscope and LAPP offer local schools the possibility to welcome a female scientist/engineer to present her work to (mixed) classes. Here, Luisa Ulrici, a physicist from CERN’s Environmental Protection group, talks about her job to pupils at the Pregnin primary school in Saint-Genis-Pouilly, France. CERN 2022 Le 11 février est la Journée internationale des femmes et des filles de science. A cette occasion, le CERN, l'EPFL, le Scienscope de l'UNIGE et le LAPP proposent aux écoles locales la venue de femmes scientifiques ou ingénieures pour parler de leurs métiers aux élèves (en classes mixtes). Ici, Luisa Ulrici, physicienne au sein du groupe Protection de l'environnement au CERN, présente son métier aux élèves de l’école primaire de Pregnin, Saint-Genis-Pouilly, France. CERN EDS OPEN SzGeCERN Life at CERN SzGeCERN Open CERN WGST CERN education CERN outreach CERN meeting CERN workshop CERN conference CERN women in science CERN school CERN gender CERN diversity CERN PHOTO CERN News https://home.cern/news/news/cern/take-part-cerns-women-technology-2022-mentoring-programme 2350173 7034368 http://cds.cern.ch/record/2801258/files/P1022665.JPG 2350174 7955968 http://cds.cern.ch/record/2801258/files/P1022669.JPG 2350175 7411200 http://cds.cern.ch/record/2801258/files/P1022675.JPG 2350176 6618624 http://cds.cern.ch/record/2801258/files/P1022682.JPG 2350177 7143936 http://cds.cern.ch/record/2801258/files/P1022684.JPG 2350178 7165440 http://cds.cern.ch/record/2801258/files/P1022685.JPG 2350179 7383552 http://cds.cern.ch/record/2801258/files/P1022712.JPG 2350180 7404544 http://cds.cern.ch/record/2801258/files/P1022726.JPG 2350181 6964224 http://cds.cern.ch/record/2801258/files/P1022732.JPG 2350182 6967296 http://cds.cern.ch/record/2801258/files/P1022733.JPG 2350183 7560192 http://cds.cern.ch/record/2801258/files/P1022738.JPG 2350173 240571 http://cds.cern.ch/record/2801258/files/P1022665.jpg?subformat=icon-640 icon-640 2350173 73676 http://cds.cern.ch/record/2801258/files/P1022665.jpg?subformat=icon-180 icon-180 2350173 816543 http://cds.cern.ch/record/2801258/files/P1022665.jpg?subformat=icon-1440 icon-1440 2350174 276692 http://cds.cern.ch/record/2801258/files/P1022669.jpg?subformat=icon-640 icon-640 2350174 77097 http://cds.cern.ch/record/2801258/files/P1022669.jpg?subformat=icon-180 icon-180 2350174 952224 http://cds.cern.ch/record/2801258/files/P1022669.jpg?subformat=icon-1440 icon-1440 2350175 257870 http://cds.cern.ch/record/2801258/files/P1022675.jpg?subformat=icon-640 icon-640 2350175 76163 http://cds.cern.ch/record/2801258/files/P1022675.jpg?subformat=icon-180 icon-180 2350175 873903 http://cds.cern.ch/record/2801258/files/P1022675.jpg?subformat=icon-1440 icon-1440 2350176 237507 http://cds.cern.ch/record/2801258/files/P1022682.jpg?subformat=icon-640 icon-640 2350176 74984 http://cds.cern.ch/record/2801258/files/P1022682.jpg?subformat=icon-180 icon-180 2350176 755338 http://cds.cern.ch/record/2801258/files/P1022682.jpg?subformat=icon-1440 icon-1440 2350177 251438 http://cds.cern.ch/record/2801258/files/P1022684.jpg?subformat=icon-640 icon-640 2350177 75332 http://cds.cern.ch/record/2801258/files/P1022684.jpg?subformat=icon-180 icon-180 2350177 838579 http://cds.cern.ch/record/2801258/files/P1022684.jpg?subformat=icon-1440 icon-1440 2350178 256541 http://cds.cern.ch/record/2801258/files/P1022685.jpg?subformat=icon-640 icon-640 2350178 76070 http://cds.cern.ch/record/2801258/files/P1022685.jpg?subformat=icon-180 icon-180 2350178 848451 http://cds.cern.ch/record/2801258/files/P1022685.jpg?subformat=icon-1440 icon-1440 2350179 251972 http://cds.cern.ch/record/2801258/files/P1022712.jpg?subformat=icon-640 icon-640 2350179 74795 http://cds.cern.ch/record/2801258/files/P1022712.jpg?subformat=icon-180 icon-180 2350179 864300 http://cds.cern.ch/record/2801258/files/P1022712.jpg?subformat=icon-1440 icon-1440 2350180 263562 http://cds.cern.ch/record/2801258/files/P1022726.jpg?subformat=icon-640 icon-640 2350180 75968 http://cds.cern.ch/record/2801258/files/P1022726.jpg?subformat=icon-180 icon-180 2350180 900253 http://cds.cern.ch/record/2801258/files/P1022726.jpg?subformat=icon-1440 icon-1440 2350181 245008 http://cds.cern.ch/record/2801258/files/P1022732.jpg?subformat=icon-640 icon-640 2350181 73928 http://cds.cern.ch/record/2801258/files/P1022732.jpg?subformat=icon-180 icon-180 2350181 824156 http://cds.cern.ch/record/2801258/files/P1022732.jpg?subformat=icon-1440 icon-1440 2350182 242084 http://cds.cern.ch/record/2801258/files/P1022733.jpg?subformat=icon-640 icon-640 2350182 73662 http://cds.cern.ch/record/2801258/files/P1022733.jpg?subformat=icon-180 icon-180 2350182 816370 http://cds.cern.ch/record/2801258/files/P1022733.jpg?subformat=icon-1440 icon-1440 2350183 253917 http://cds.cern.ch/record/2801258/files/P1022738.jpg?subformat=icon-640 icon-640 2350183 75061 http://cds.cern.ch/record/2801258/files/P1022738.jpg?subformat=icon-180 icon-180 2350183 873431 http://cds.cern.ch/record/2801258/files/P1022738.jpg?subformat=icon-1440 icon-1440 melissa.samson@cern.ch n 202206 Saint-Genis-Pouilly, France Ecole primaire de Pregnin <> 86 VISIBLE PHOTOOPEN 2801110 20251201182024.0 oai:cds.cern.ch:2801110 cerncds:TALK eng CERN. Geneva PlanetWatch: Citizen Science on Steroids - 2022-02-03T16:00:00 2022-02-03T17:00:00 1119344 PlanetWatch: Citizen Science on Steroids 2022 2022-02-03 3431 Streaming video KT Seminars 2022-02-03T16:00:00 <!--HTML--><p><span><span><span><span><span style="color:black"><img alt="" src="https://indico.cern.ch/event/1119344/images/35157-bannerCP.png" style="height:338px; width:600px" /></span></span></span></span></span></p> <p><span><span><span><span><span style="color:black">PlanetWatch, the first CERN spinoff company in the blockchain world, aims at disrupting environmental monitoring on a global scale by leveraging advanced technologies and the power of communities to generate and analyse science/business-grade environmental datasets. PlanetWatch's distinctive feature is its blockchain-based data recording, tracking and incentive scheme. With over 44,000 connected air quality sensors worldwide, the project is experiencing explosive growth and we are keen to further develop our collaboration with CERN by leveraging additional technology transfer opportunities.</span></span></span></span></span></p> <p><span><span><span><span><span style="color:black">A former research physicist, international consultant and Head of Knowledge &amp; Technology Transfer at CERN, Claudio became a tech entrepreneur ten years ago. He cofounded Terabee, a successful sensor company leveraging CERN technology. In the last five years, he focused on blockchain technologies, leading to the foundation of PlanetWatch,&nbsp;a CERN spinoff company which decentralizes and incentivizes environmental monitoring. Claudio is PlanetWatch's CEO and Cofounder.</span></span></span></span></span></p> <p class="MsoPlainText"><span><span>&nbsp;</span></span></p> <p class="MsoPlainText">&nbsp;</p> <p>We will be using zoom for this seminar.</p> <p>Please click the link below to join the webinar:<br /> <a href="https://cern.zoom.us/j/69894524473?pwd=TXJuaTk5aEZrcWw1ejRuYjJYeXErdz09">https://cern.zoom.us/j/69894524473?pwd=TXJuaTk5aEZrcWw1ejRuYjJYeXErdz09</a><br /> Passcode: planet</p> <p>&nbsp;</p> <p>Please check the indico page for updates. During the seminar, in case of technical issues, it is where we will post information. Thank you!</p> <p><span><span>To be kept informed of KT Seminars please </span></span><span><span>sign up at: <a href="http://cern.ch/go/F9cX" target="_blank"><span><span style="color:#365899">http://cern.ch/go/F9cX</span></span></a></span></span></p> CERN 2022 KT Seminars Event TALK CERN Parrinello, Claudio speaker https://indico.cern.ch/event/1119344/ Event details MediaArchive /mnt/master_share/master_data/2022/1119344 Absolute master path MediaArchive /2022/1119344/1119344_en.vtt subtitle subtitle English MediaArchive /2022/1119344/1119344_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1119344/1119344-presenter-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1119344/1119344-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x852. Baudrate: 622645 MediaArchive https://lecturemedia.cern.ch/2022/1119344/1119344-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 638x426. Baudrate: 248186 MediaArchive https://lecturemedia.cern.ch/2022/1119344/1119344-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1280. Baudrate: 1211916 MediaArchive https://lecturemedia.cern.ch/2022/1119344/1119344-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x320. Baudrate: 101229 helen.dixon-altaber@cern.ch Parrinello, Claudio 2022-01-21T08:25:10 2022-02-07T12:41:15 PUBLIC INDICO.1119344 https://videos.cern.ch/legacy/record/2801110 Indico SSW MIGRATED 2805474 20251201182314.0 eng CERN. Geneva Introduction to Open Source Investigations CERN - 31/3-004 - IT Amphitheatre 2022-03-25T16:00:00 2022-03-25T17:00:00 1142580 Introduction to Open Source Investigations 2022 2022-03-25 5732 Streaming video CERN Computing Seminar Restricted cern-accounts-primary [CERN] group CDS Invenio SzGeCERN Restricted miguel.marquina@cern.ch sebastian.lopienski@cern.ch email CDS Invenio SzGeCERN 2022-03-25T16:00:00 <!--HTML--><p>Everyday an enormous amount of content is uploaded on the internet. Some of them like Google Map's satellite imagery, an Instagram post, or a&nbsp;random website can be the key to journalistic investigations from identifying neonazi criminals to tracking the use of chemical weapons to environmental research. In this session you will learn the basics of open source investigations, practical tools, methods and case studies from Bellingcat's experience.</p> <p><strong>About the speaker</strong></p> <p>Aiganysh Aidarbekova is a&nbsp;Bellingcat investigative researcher and trainer from Kyrgyzstan. She has investigated corrupt officials, built databases of citizens, monitored war crimes - all using open source materials from Instagram to Google maps to governmental websites. Aiganysh frequently conducts Russian and English language workshops into <span class="caps">OSINT</span> and verification throughout Central Asia, Caucasus, and Europe.</p> CERN 2022 CERN Computing Seminar Event TALK CERN Aidarbekova, Aiganysh speaker Bellingcat https://indico.cern.ch/event/1142580/ Event details MediaArchive /mnt/master_share/master_data/2022/1142580 Absolute master path MediaArchive /2022/1142580/1142580_en.vtt subtitle subtitle English MediaArchive /2022/1142580/1142580_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1142580/1142580-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1142580/1142580-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 910437 MediaArchive https://lecturemedia.cern.ch/2022/1142580/1142580-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 95262 MediaArchive https://lecturemedia.cern.ch/2022/1142580/1142580-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 224168 MediaArchive https://lecturemedia.cern.ch/2022/1142580/1142580-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 524214 MediaArchive https://lecturemedia.cern.ch/2022/1142580/1142580-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1200020 MediaArchive https://lecturemedia.cern.ch/2022/1142580/1142580-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 514528 MediaArchive https://lecturemedia.cern.ch/2022/1142580/1142580-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3994045 MediaArchive https://lecturemedia.cern.ch/2022/1142580/1142580-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 165935 miguel.marquina@cern.ch Aidarbekova, Aiganysh Bellingcat 2022-03-22T10:48:28 2022-03-31T13:23:46 PUBLIC INDICO.1142580 https://videos.cern.ch/legacy/record/2805474 Indico TALK MIGRATED 2805302 SzGeCERN 20221028145154.0 DOI 10.5194/acp-19-2671-2019 oai:cds.cern.ch:2805302 cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2022966 2022-03-28T14:20:12Z 2022-03-30T04:00:05Z marcxml Inspire 2022966 eng Kalivitis, Nikos nkalivitis@uoc.gr Crete U. Athens Observ. submitter Formation and growth of atmospheric nanoparticles in the eastern Mediterranean: results from long-term measurements and process simulations 2019 16 p submitter Atmospheric new particle formation (NPF) is a common phenomenon all over the world. In this study we present the longest time series of NPF records in the eastern Mediterranean region by analyzing 10 years of aerosol number size distribution data obtained with a mobility particle sizer. The measurements were performed at the Finokalia environmental research station on Crete, Greece, during the period June 2008–June 2018. We found that NPF took place on 27 % of the available days, undefined days were 23 % and non-event days 50 %. NPF is more frequent in April and May probably due to the terrestrial biogenic activity and is less frequent in August. Throughout the period under study, nucleation was observed also during the night. Nucleation mode particles had the highest concentration in winter and early spring, mainly because of the minimum sinks, and their average contribution to the total particle number concentration was 8 %. Nucleation mode particle concentrations were low outside periods of active NPF and growth, so there are hardly any other local sources of sub-25 nm particles. Additional atmospheric ion size distribution data simultaneously collected for more than 2 years were also analyzed. Classification of NPF events based on ion spectrometer measurements differed from the corresponding classification based on a mobility spectrometer, possibly indicating a different representation of local and regional NPF events between these two measurement data sets. We used the MALTE-Box model for simulating a case study of NPF in the eastern Mediterranean region. Monoterpenes contributing to NPF can explain a large fraction of the observed NPF events according to our model simulations. However the adjusted parameterization resulting from our sensitivity tests was significantly different from the initial one that had been determined for the boreal environment. publication CC BY 4.0 https://creativecommons.org/licenses/by/4.0/ publication Author(s) 2019 INSPIRE Chemical Physics and Chemistry ARTICLE CERN Kerminen, Veli-Matti Helsinki U. Kouvarakis, Giorgos Crete U. Stavroulas, Iasonas Crete U. Cyprus Inst. Athens Observ. Tzitzikalaki, Evaggelia Crete U. Kalkavouras, Panayiotis Crete U. Athens Observ. Daskalakis, Nikos Crete U. Bremen U. Myriokefalitakis, Stelios Athens Observ. Utrecht U. Bougiatioti, Aikaterini Athens Observ. Manninen, Hanna E Helsinki U. CERN Roldin, Pontus Lund U. Petäjä, Tuukka Helsinki U. Boy, Michael Helsinki U. Kulmala, Markku Helsinki U. Kanakidou, Maria Crete U. Mihalopoulos, Nikolaos nmihalo@noa.gr Crete U. Athens Observ. 2671-2686 4 Atmos. Chem. Phys. 19 2019 13 ARTICLE 2804587 20251201182444.0 oai:cds.cern.ch:2804587 cerncds:TALK eng CERN. Geneva Fire risks and hazards with Li-ion batteries CERN - 40/S2-C01 - Salle Curie 2022-03-18T11:00:00 2022-03-18T12:30:00 1134463 Fire risks and hazards with Li-ion batteries 2022 2022-03-18 3565 Streaming video FIRIA Projects 2022-03-18T11:00:00 <!--HTML--><p>Seminar on Li-ion batteries Fire Safety by&nbsp;Petra Andersson</p> <p><span><span><span><span><span><span style="color:black">Dr</span></span></span></span><span><span><span><span style="color:black">&nbsp;<span><span><span><span><span><span><span><span><span>Petra Andersson</span></span></span></span></span></span></span></span></span></span></span></span></span><span><span><span><span style="color:black">&nbsp;<span><span><span><span style="color:black">(RISE/ Lund University)</span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span style="color:#777777">Petra Andersson has worked with fire research for more than 20 years. She obtained her PhD in Fire Safety engineering at Lund University in 1997 and has since then worked with Fire Research at RISE (former SP) with various research topics such as fire detection, functional performance during fires, extinguishment and environmental effects. Since 2020 she works part time as associate professor at Lund University in Fire safety engineering. Her research includes both simulations and experiments. Lately her research has been more focused on Electric and Hybrid vehicles.</span></span></span></span></span></span></p> <p><span><span><span><span><span><span style="color:#777777">Recording:&nbsp;</span></span></span></span></span></span></p> <table cellpadding="0" cellspacing="0" style="width:100%"> <tbody> <tr> <td style="vertical-align:MIDDLE"> <p><a href="https://edms.cern.ch/document/2718553/1">https://edms.cern.ch/document/2718553/1</a></p> </td> </tr> </tbody> </table> CERN 2022 FIRIA Projects Event TALK CERN Rios, Oriol speaker CERN https://indico.cern.ch/event/1134463/ Event details MediaArchive /mnt/master_share/master_data/2022/1134463 Absolute master path MediaArchive /2022/1134463/1134463_en.vtt subtitle subtitle English MediaArchive /2022/1134463/1134463_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1134463/1134463-presenter-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1134463/1134463-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 488434 MediaArchive https://lecturemedia.cern.ch/2022/1134463/1134463-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 196916 MediaArchive https://lecturemedia.cern.ch/2022/1134463/1134463-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 85329 MediaArchive https://lecturemedia.cern.ch/2022/1134463/1134463-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 764662 oriol.rios.rubiras@cern.ch Rios, Oriol CERN 2022-02-28T19:05:51 2022-03-23T07:41:47 PUBLIC INDICO.1134463 https://videos.cern.ch/legacy/record/2804587 Indico CMTE MIGRATED 2804132 SzGeCERN 20251029175929.0 DOI Elsevier B.V. 10.1016/j.nima.2022.166470 publication oai:cds.cern.ch:2804132 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2038701 2022-03-16T14:56:08Z 2022-03-17T05:50:59Z marcxml Inspire 2038701 eng Scherino, L lorenzo.scherino@cern.ch CERN Sannio U. University of Sannio, Department of Engineering, Optoelectronics Group, I-82100 Benevento, Italy Elsevier B.V. Fiber optic sensors in the ATLAS Inner Detector 2022 17 p Elsevier B.V. A prototype system of Fiber Optic Sensors (FOS) for the accurate measurement of temperature and relative humidity, has been installed inside the Inner Detector volume of the ATLAS experiment at the LHC. The goal is to evaluate the behavior of the technology against radiation effects, and possibly to assess its suitability for future collider experiments, starting from HL-LHC. It follows the description of the work that has led to the choice of the sensors, their testing and calibration in the laboratory, their successive installation and operation in ATLAS, and the development of the data acquisition chain. The first results on performance are reported. publication CC BY-4.0 CERN-RP: Elsevier http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2022 SzGeCERN Detectors and Experimental Techniques Elsevier B.V. Fiber optic sensor Elsevier B.V. Radiation hardness Elsevier B.V. Long period grating Elsevier B.V. Environmental monitoring Elsevier B.V. High energy physics ARTICLE CERN CERN LHC ATLAS Schioppa, E J CERN INFN, Lecce Università del Salento, Dipartimento di Matematica e Fisica “E. De Giorgi”, via per Arnesano, 73100 Lecce, Italy Arapova, A Quebec U., INRS Berruti, G M Sannio U. Bock, W J Quebec U., INRS Boniello, A Sannio U. Borriello, A ENEA, Portici Campopiano, S Naples U. Consales, M Sannio U. Cusano, A Sannio U. Esposito, F Naples U. Iadicicco, A Naples U. Kachiguine, S UC, Santa Cruz Mikulic, P Quebec U., INRS Nagai, K Oxford U. Neves, T CERN Ecole Polytechnique, Lausanne EPFL, Echole Polytechnique Federale de Lausanne, Lausanne, Switzerland Petagna, P CERN Quero, G Sannio U. Robinson, D Cambridge U. Srivastava, A Naples U. Vaiano, P Sannio U. Venturi, N CERN Zarrelli, M ENEA, Portici Zotti, A ENEA, Portici Zuppolini, S ENEA, Portici 166470 publication Nucl. Instrum. Methods Phys. Res., A 1029 2022 2356640 4751639 http://cds.cern.ch/record/2804132/files/1-s2.0-S0168900222000997-main.pdf Fulltext 13 ARTICLE 2803711 SzGeCERN 20220312224925.0 DOI 10.3390/s21165340 oai:cds.cern.ch:2803711 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2022-03-12T10:17:00Z marcxml oai:inspirehep.net:2049183 2022-03-10T14:05:28Z Inspire 2049183 eng Prados Sesmero, Carlos c.prados@alumnos.upm.es CERN submitter Graph SLAM Built over Point Clouds Matching for Robot Localization in Tunnels 2021 16 p submitter This paper presents a fully original algorithm of graph SLAM developed for multiple environments—in particular, for tunnel applications where the paucity of features and the difficult distinction between different positions in the environment is a problem to be solved. This algorithm is modular, generic, and expandable to all types of sensors based on point clouds generation. The algorithm may be used for environmental reconstruction to generate precise models of the surroundings. The structure of the algorithm includes three main modules. One module estimates the initial position of the sensor or the robot, while another improves the previous estimation using point clouds. The last module generates an over-constraint graph that includes the point clouds, the sensor or the robot trajectory, as well as the relation between positions in the trajectory and the loop closures. CC-BY-4.0 https://creativecommons.org/licenses/by/4.0/ The authors 2021 SzGeCERN Detectors and Experimental Techniques ARTICLE CERN Villanueva Lorente, Sergio sergio.villanueva@star-robotics.com CERN Di Castro, Mario ORCID:0000-0002-2513-967X mario.di.castro@cern.ch CERN 5340 16 2021 Sensors 21 2355015 1803277 http://cds.cern.ch/record/2803711/files/sensors-21-05340-v2.pdf Fulltext 13 ARTICLE 2803356 20251201182450.0 oai:cds.cern.ch:2803356 cerncds:TALK eng CERN. Geneva CERN Innovation Programme on Environmental Applications (CIPEA) - Kick-Off Event Zoom - 2022-03-08T09:45:00 2022-03-08T10:15:00 1132085c6 Challenges in improving the use of satellite data in support of climate monitoring and the implementation of the Paris Climate agreement 2022 2022-03-08 1824 Streaming video Events CERN Innovation Programme on Environmental Applications (CIPEA) - Kick-Off Event 2022-03-08T09:45:00 <!--HTML-->Kenneth Holmlund (Head of WMO Space Programme) CERN 2022 Events Event TALK CERN Holmlund , Kenneth speaker https://indico.cern.ch/event/1132085/contributions/4750437/ Talk details https://indico.cern.ch/event/1132085/ Event details MediaArchive /mnt/master_share/master_data/2022/1132085c6 Absolute master path MediaArchive /2022/1132085c6/1132085c6_en.vtt subtitle subtitle English MediaArchive /2022/1132085c6/1132085c6_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1132085c6/1132085c6-presenter-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1132085c6/1132085c6-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 533984 MediaArchive https://lecturemedia.cern.ch/2022/1132085c6/1132085c6-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 85937 MediaArchive https://lecturemedia.cern.ch/2022/1132085c6/1132085c6-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 954083 MediaArchive https://lecturemedia.cern.ch/2022/1132085c6/1132085c6-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 204416 mariane.catallon@cern.ch Chesta, Enrico CERN 2022-02-22T08:16:39 2022-03-09T08:10:39 PUBLIC INDICO.1132085c6 https://videos.cern.ch/legacy/record/2803356 Indico CMTE MIGRATED 2803354 20251201182450.0 oai:cds.cern.ch:2803354 cerncds:TALK eng CERN. Geneva CERN Innovation Programme on Environmental Applications (CIPEA) - Kick-Off Event Zoom - 2022-03-08T09:35:00 2022-03-08T09:45:00 1132085c5 CIPEA Q & A 2022 2022-03-08 325 Streaming video Events CERN Innovation Programme on Environmental Applications (CIPEA) - Kick-Off Event 2022-03-08T09:35:00 CERN 2022 Events Event TALK CERN https://indico.cern.ch/event/1132085/contributions/4750436/ Talk details https://indico.cern.ch/event/1132085/ Event details MediaArchive /mnt/master_share/master_data/2022/1132085c5 Absolute master path MediaArchive /2022/1132085c5/1132085c5_en.vtt subtitle subtitle English MediaArchive /2022/1132085c5/1132085c5_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1132085c5/1132085c5-presenter-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1132085c5/1132085c5-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 84556 MediaArchive https://lecturemedia.cern.ch/2022/1132085c5/1132085c5-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 260745 MediaArchive https://lecturemedia.cern.ch/2022/1132085c5/1132085c5-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 1336309 MediaArchive https://lecturemedia.cern.ch/2022/1132085c5/1132085c5-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 700508 mariane.catallon@cern.ch Chesta, Enrico CERN 2022-02-22T08:16:39 2022-03-09T07:43:12 PUBLIC INDICO.1132085c5 https://videos.cern.ch/legacy/record/2803354 Indico CMTE MIGRATED 2803316 20251201182251.0 oai:cds.cern.ch:2803316 cerncds:TALK eng CERN. Geneva CERN Innovation Programme on Environmental Applications (CIPEA) - Kick-Off Event Zoom - 2022-03-08T10:15:00 2022-03-08T10:25:00 1132085c7 WMO Q&A 2022 2022-03-08 413 Streaming video Events CERN Innovation Programme on Environmental Applications (CIPEA) - Kick-Off Event 2022-03-08T10:15:00 CERN 2022 Events Event TALK CERN https://indico.cern.ch/event/1132085/contributions/4750439/ Talk details https://indico.cern.ch/event/1132085/ Event details MediaArchive /mnt/master_share/master_data/2022/1132085c7 Absolute master path MediaArchive /2022/1132085c7/1132085c7_en.vtt subtitle subtitle English MediaArchive /2022/1132085c7/1132085c7_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1132085c7/1132085c7-presenter-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1132085c7/1132085c7-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 1097074 MediaArchive https://lecturemedia.cern.ch/2022/1132085c7/1132085c7-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 579154 MediaArchive https://lecturemedia.cern.ch/2022/1132085c7/1132085c7-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 214592 MediaArchive https://lecturemedia.cern.ch/2022/1132085c7/1132085c7-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 70979 mariane.catallon@cern.ch Chesta, Enrico CERN 2022-02-22T08:16:39 2022-03-08T15:02:53 PUBLIC INDICO.1132085c7 https://videos.cern.ch/legacy/record/2803316 Indico CMTE MIGRATED 2803315 20251201182250.0 oai:cds.cern.ch:2803315 cerncds:TALK eng CERN. Geneva CERN Innovation Programme on Environmental Applications (CIPEA) - Kick-Off Event Zoom - 2022-03-08T09:15:00 2022-03-08T09:35:00 1132085c4 CIPEA Presentation 2022 2022-03-08 1446 Streaming video Events CERN Innovation Programme on Environmental Applications (CIPEA) - Kick-Off Event 2022-03-08T09:15:00 CERN 2022 Events Event TALK CERN Chesta, Enrico speaker CERN https://indico.cern.ch/event/1132085/contributions/4750435/ Talk details https://indico.cern.ch/event/1132085/ Event details MediaArchive /mnt/master_share/master_data/2022/1132085c4 Absolute master path MediaArchive /2022/1132085c4/1132085c4_en.vtt subtitle subtitle English MediaArchive /2022/1132085c4/1132085c4_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1132085c4/1132085c4-presenter-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1132085c4/1132085c4-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 95254 MediaArchive https://lecturemedia.cern.ch/2022/1132085c4/1132085c4-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 217373 MediaArchive https://lecturemedia.cern.ch/2022/1132085c4/1132085c4-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 593360 MediaArchive https://lecturemedia.cern.ch/2022/1132085c4/1132085c4-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 1042149 mariane.catallon@cern.ch Chesta, Enrico CERN 2022-02-22T08:16:39 2022-03-08T15:01:30 PUBLIC INDICO.1132085c4 https://videos.cern.ch/legacy/record/2803315 Indico CMTE MIGRATED 2803314 20251201182250.0 oai:cds.cern.ch:2803314 cerncds:TALK eng CERN. Geneva CERN Innovation Programme on Environmental Applications (CIPEA) - Kick-Off Event Zoom - 2022-03-08T10:25:00 2022-03-08T10:30:00 1132085c8 Event wrap-up 2022 2022-03-08 153 Streaming video Events CERN Innovation Programme on Environmental Applications (CIPEA) - Kick-Off Event 2022-03-08T10:25:00 CERN 2022 Events Event TALK CERN https://indico.cern.ch/event/1132085/contributions/4750447/ Talk details https://indico.cern.ch/event/1132085/ Event details MediaArchive /mnt/master_share/master_data/2022/1132085c8 Absolute master path MediaArchive /2022/1132085c8/1132085c8_en.vtt subtitle subtitle English MediaArchive /2022/1132085c8/1132085c8_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1132085c8/1132085c8-presenter-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1132085c8/1132085c8-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 88748 MediaArchive https://lecturemedia.cern.ch/2022/1132085c8/1132085c8-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 259410 MediaArchive https://lecturemedia.cern.ch/2022/1132085c8/1132085c8-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 680332 MediaArchive https://lecturemedia.cern.ch/2022/1132085c8/1132085c8-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 1260768 mariane.catallon@cern.ch Chesta, Enrico CERN 2022-02-22T08:16:39 2022-03-08T15:00:46 PUBLIC INDICO.1132085c8 https://videos.cern.ch/legacy/record/2803314 Indico CMTE MIGRATED 2803313 20251201182250.0 oai:cds.cern.ch:2803313 cerncds:TALK eng CERN. Geneva CERN Innovation Programme on Environmental Applications (CIPEA) - Kick-Off Event Zoom - 2022-03-08T09:10:00 2022-03-08T09:15:00 1132085c2 HSE Introduction 2022 2022-03-08 546 Streaming video Events CERN Innovation Programme on Environmental Applications (CIPEA) - Kick-Off Event 2022-03-08T09:10:00 CERN 2022 Events Event TALK CERN Kleiner, Sonja speaker CERN https://indico.cern.ch/event/1132085/contributions/4750433/ Talk details https://indico.cern.ch/event/1132085/ Event details MediaArchive /mnt/master_share/master_data/2022/1132085c2 Absolute master path MediaArchive /2022/1132085c2/1132085c2_en.vtt subtitle subtitle English MediaArchive /2022/1132085c2/1132085c2_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1132085c2/1132085c2-presenter-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1132085c2/1132085c2-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 778482 MediaArchive https://lecturemedia.cern.ch/2022/1132085c2/1132085c2-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 284687 MediaArchive https://lecturemedia.cern.ch/2022/1132085c2/1132085c2-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 1492883 MediaArchive https://lecturemedia.cern.ch/2022/1132085c2/1132085c2-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 92223 mariane.catallon@cern.ch Chesta, Enrico CERN 2022-02-22T08:16:39 2022-03-08T14:52:07 PUBLIC INDICO.1132085c2 https://videos.cern.ch/legacy/record/2803313 Indico CMTE MIGRATED 2803312 20251201182916.0 oai:cds.cern.ch:2803312 cerncds:TALK eng CERN. Geneva CERN Innovation Programme on Environmental Applications (CIPEA) - Kick-Off Event Zoom - 2022-03-08T09:03:00 2022-03-08T09:10:00 1132085c3 Opening message and IPT introduction 2022 2022-03-08 326 Streaming video Events CERN Innovation Programme on Environmental Applications (CIPEA) - Kick-Off Event 2022-03-08T09:03:00 CERN 2022 Events Event TALK CERN Hartley, Christopher speaker CERN https://indico.cern.ch/event/1132085/contributions/4750434/ Talk details https://indico.cern.ch/event/1132085/ Event details MediaArchive /mnt/master_share/master_data/2022/1132085c3 Absolute master path MediaArchive /2022/1132085c3/1132085c3_en.vtt subtitle subtitle English MediaArchive /2022/1132085c3/1132085c3_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1132085c3/1132085c3-presenter-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1132085c3/1132085c3-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 598381 MediaArchive https://lecturemedia.cern.ch/2022/1132085c3/1132085c3-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 1140068 MediaArchive https://lecturemedia.cern.ch/2022/1132085c3/1132085c3-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 238686 MediaArchive https://lecturemedia.cern.ch/2022/1132085c3/1132085c3-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 75764 mariane.catallon@cern.ch Chesta, Enrico CERN 2022-02-22T08:16:39 2022-03-08T14:51:21 PUBLIC INDICO.1132085c3 https://videos.cern.ch/legacy/record/2803312 Indico CMTE MIGRATED 2803311 20251201182250.0 oai:cds.cern.ch:2803311 cerncds:TALK eng CERN. Geneva CERN Innovation Programme on Environmental Applications (CIPEA) - Kick-Off Event Zoom - 2022-03-08T09:00:00 2022-03-08T09:03:00 1132085c1 Welcome 2022 2022-03-08 156 Streaming video Events CERN Innovation Programme on Environmental Applications (CIPEA) - Kick-Off Event 2022-03-08T09:00:00 CERN 2022 Events Event TALK CERN Del Rosso, Antonella speaker CERN https://indico.cern.ch/event/1132085/contributions/4750429/ Talk details https://indico.cern.ch/event/1132085/ Event details MediaArchive /mnt/master_share/master_data/2022/1132085c1 Absolute master path MediaArchive /2022/1132085c1/1132085c1_en.vtt subtitle subtitle English MediaArchive /2022/1132085c1/1132085c1_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1132085c1/1132085c1-presenter-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1132085c1/1132085c1-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 102352 MediaArchive https://lecturemedia.cern.ch/2022/1132085c1/1132085c1-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 847043 MediaArchive https://lecturemedia.cern.ch/2022/1132085c1/1132085c1-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 1601769 MediaArchive https://lecturemedia.cern.ch/2022/1132085c1/1132085c1-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 316276 mariane.catallon@cern.ch Chesta, Enrico CERN 2022-02-22T08:16:39 2022-03-08T14:50:43 PUBLIC INDICO.1132085c1 https://videos.cern.ch/legacy/record/2803311 Indico CMTE MIGRATED 2803259 20260327064030.0 oai:cds.cern.ch:2803259 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI arXiv 10.1088/1361-6471/ac841a publication arXiv oai:arXiv.org:2203.02309 oai:inspirehep.net:2046565 https://inspirehep.net/api/oai2d Inspire 2026-03-26T10:07:12Z 2026-03-27T03:00:36Z marcxml true Inspire 2046565 arXiv arXiv:2203.02309 physics.ins-det arXiv:reportnumber INT-PUB-22-003 FERMILAB-PUB-22-112-PPD-QIS-T eng Aalbers, J. ORCID:0000-0003-0030-0030 ROR:https://ror.org/05gzmn429 SLAC KIPAC, Menlo Park SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States of America Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, CA 94305, United States of America arXiv A Next-Generation Liquid Xenon Observatory for Dark Matter and Neutrino Physics 2022-12-15 2022-03-04 77 p arXiv 77 pages, 40 figures, 1262 references IOP The nature of dark matter and properties of neutrinos are among the most pressing issues in contemporary particle physics. The dual-phase xenon time-projection chamber is the leading technology to cover the available parameter space for weakly interacting massive particles, while featuring extensive sensitivity to many alternative dark matter candidates. These detectors can also study neutrinos through neutrinoless double-beta decay and through a variety of astrophysical sources. A next-generation xenon-based detector will therefore be a true multi-purpose observatory to significantly advance particle physics, nuclear physics, astrophysics, solar physics, and cosmology. This review article presents the science cases for such a detector. arXiv The nature of dark matter and properties of neutrinos are among the most pressing issues in contemporary particle physics. The dual-phase xenon time-projection chamber is the leading technology to cover the available parameter space for Weakly Interacting Massive Particles (WIMPs), while featuring extensive sensitivity to many alternative dark matter candidates. These detectors can also study neutrinos through neutrinoless double-beta decay and through a variety of astrophysical sources. A next-generation xenon-based detector will therefore be a true multi-purpose observatory to significantly advance particle physics, nuclear physics, astrophysics, solar physics, and cosmology. This review article presents the science cases for such a detector. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication CC-BY-4.0 Other http://creativecommons.org/licenses/by/4.0/ arXiv nucl-ex SzGeCERN Nuclear Physics - Experiment arXiv hep-ex SzGeCERN Particle Physics - Experiment arXiv astro-ph.CO SzGeCERN Astrophysics and Astronomy arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques CERN ARTICLE AbdusSalam, S.S. ROR:https://ror.org/0091vmj44 Shahid Beheshti U. Department of Physics, Shahid Beheshti University, Tehran, Islamic Republic of Iran Abe, K. ROR:https://ror.org/04djymq25 ROR:https://ror.org/02chw6z69 Kamioka Observ. Tokyo U., IPMU Kamioka Observatory, Institute for Cosmic Ray Research, The University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu, 506-1205, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo, Kashiwa, Chiba, 277-8582, Japan Aerne, V. ROR:https://ror.org/02crff812 Zurich U. Physik-Institut, University of Zurich, 8057 Zurich, Switzerland Agostini, F. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 U. Bologna, DIFA INFN, Bologna Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy Maouloud, S. Ahmed Paris U., VI-VII LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France Akerib, D.S. ROR:https://ror.org/05gzmn429 SLAC KIPAC, Menlo Park SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States of America Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, CA 94305, United States of America Akimov, D.Yu. ROR:https://ror.org/04w8z7f34 Moscow Phys. Eng. Inst. National Research Nuclear University ‘MEPhI’ (Moscow Engineering Physics Institute), Moscow, 115409, Russia Akshat, J. ROR:https://ror.org/02dqehb95 Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America Musalhi, A.K. Al ROR:https://ror.org/052gg0110 Oxford U. Department of Physics, University of Oxford, Keble Rd, Oxford OX1 3RH, United Kingdom Alder, F. ROR:https://ror.org/02jx3x895 University Coll. London Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom Alsum, S.K. ROR:https://ror.org/01y2jtd41 Wisconsin U., Madison Department of Physics, University of Wisconsin–Madison, Madison, WI 53706, United States of America Althueser, L. ORCID:0000-0002-5468-4298 ROR:https://ror.org/00pd74e08 Munster U. Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany Amarasinghe, C.S. ORCID:0000-0001-7789-651X ROR:https://ror.org/00jmfr291 Michigan U. University of Michigan, Randall Laboratory of Physics, Ann Arbor, MI 48109, United States of America Amaro, F.D. ROR:https://ror.org/04z8k9a98 Coimbra U. LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal Ames, A. ROR:https://ror.org/05gzmn429 SLAC KIPAC, Menlo Park SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States of America Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, CA 94305, United States of America Anderson, T.J. ROR:https://ror.org/05gzmn429 SLAC KIPAC, Menlo Park SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States of America Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, CA 94305, United States of America Andrieu, B. Paris U., VI-VII LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France Angelides, N. ORCID:0000-0003-3930-934X ROR:https://ror.org/041kmwe10 Imperial Coll., London Department of Physics, Blackett Laboratory, Imperial College London, London SW7 2BW, United Kingdom Angelino, E. ORCID:0000-0002-6695-4355 ROR:https://ror.org/01vj6ck58 INFN, Turin OATo, Turin INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy Angevaare, J. ROR:https://ror.org/00f9tz983 ROR:https://ror.org/04jsz6e67 NIKHEF, Amsterdam NWO, The Hague Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, The Netherlands Antochi, V.C. ROR:https://ror.org/05f0yaq80 Stockholm U., OKC Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden Martin, D. Antón ORCID:0000-0001-7725-5552 ROR:https://ror.org/024mw5h28 Chicago U., KICP Department of Physics & Kavli Institute for Cosmological Physics, The University of Chicago, Chicago, IL 60637, United States of America Antunovic, B. ROR:https://ror.org/02qsmb048 VINCA Inst. Nucl. Sci., Belgrade Banja Luka U. Vinca Institute of Nuclear Science, University of Belgrade, Mihajla Petrovica Alasa 12–14, Belgrade, Serbia Faculty of Architecture, Civil Engineering and Geodesy, University of Banja Luka, Bulevar vojvode Petra Bojovica 1a, 78000 Banja Luka, Bosnia and Herzegovina Aprile, E. ROR:https://ror.org/00hj8s172 Columbia U. Physics Department, Columbia University, New York, NY 10027, United States of America Araújo, H.M. ORCID:0000-0002-5972-2783 ROR:https://ror.org/041kmwe10 Imperial Coll., London Department of Physics, Blackett Laboratory, Imperial College London, London SW7 2BW, United Kingdom Armstrong, J.E. ROR:https://ror.org/047s2c258 Maryland U. Department of Physics, University of Maryland, College Park, MD 20742, United States of America Arneodo, F. ROR:https://ror.org/00e5k0821 New York U., Abu Dhabi Division of Science, New York University Abu Dhabi, Saadiyat Island, Abu Dhabi, United Arab Emirates Arthurs, M. ROR:https://ror.org/00jmfr291 Michigan U. University of Michigan, Randall Laboratory of Physics, Ann Arbor, MI 48109, United States of America Asadi, P. ROR:https://ror.org/042nb2s44 MIT, Cambridge, CTP Center for Theoretical Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, United States of America Baek, S. ORCID:0000-0003-0379-5454 ROR:https://ror.org/047dqcg40 Korea U. Department of Physics, Korea University, Anam-ro 145, Sungbuk-gu, Seoul 02841, Republic of Korea Bai, X. ROR:https://ror.org/00ch7yk27 South Dakota Sch. Mines Tech. South Dakota School of Mines and Technology, Rapid City, SD 57701, United States of America Bajpai, D. ROR:https://ror.org/03xrrjk67 Alabama U. University of Alabama, Department of Physics & Astronomy, Tuscaloosa, AL 34587, United States of America Baker, A. ROR:https://ror.org/041kmwe10 Imperial Coll., London Department of Physics, Blackett Laboratory, Imperial College London, London SW7 2BW, United Kingdom Balajthy, J. ROR:https://ror.org/041nk4h53 ROR:https://ror.org/05rrcem69 LLNL, Livermore UC, Davis University of California Davis, Department of Physics, One Shields Ave., Davis, CA 95616, United States of America Balashov, S. ROR:https://ror.org/03gq8fr08 Rutherford STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom Balzer, M. ROR:https://ror.org/04t3en479 KIT, Karlsruhe, IPE Institute for Data Processing and Electronics, Karlsruhe Institute of Technology, Karlsruhe, Germany Bandyopadhyay, A. ROR:https://ror.org/03kp2qt98 RKMVERI, West Bengal Ramakrishna Mission Vivekananda Educational and Research Institute, Belur Math, Howrah 711202, India Bang, J. ROR:https://ror.org/05gq02987 Brown U. Department of Physics, Brown University, 182 Hope Street, Providence, RI 02912, United States of America Barberio, E. ROR:https://ror.org/01ej9dk98 Melbourne U. ARC Centre of Excellence for Dark Matter Particle Physics, School of Physics, The University of Melbourne, VIC 3010, Australia Bargemann, J.W. Unlisted Department of Physics, University of California, Santa Barbara, Santa Barbara, CA 93106, United States of America Baudis, L. ORCID:0000-0003-4710-1768 ROR:https://ror.org/02crff812 Zurich U. Physik-Institut, University of Zurich, 8057 Zurich, Switzerland Bauer, D. ROR:https://ror.org/041kmwe10 Imperial Coll., London Department of Physics, Blackett Laboratory, Imperial College London, London SW7 2BW, United Kingdom Baur, D. ROR:https://ror.org/0245cg223 Freiburg U. Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany Baxter, A. ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom Baxter, A.L. ROR:https://ror.org/02dqehb95 Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America Bazyk, M. ROR:https://ror.org/01kxesq83 SUBATECH, Nantes SUBATECH, IMT Atlantique, Université de Nantes, CNRS/IN2P3, Nantes 44307, France Beattie, K. ROR:https://ror.org/02jbv0t02 LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States of America Behrens, J. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institute for Astroparticle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Bell, N.F. ORCID:0000-0002-5805-9828 ROR:https://ror.org/01ej9dk98 Melbourne U. ARC Centre of Excellence for Dark Matter Particle Physics, School of Physics, The University of Melbourne, VIC 3010, Australia Bellagamba, L. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 U. Bologna, DIFA INFN, Bologna Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy Beltrame, P. ROR:https://ror.org/03m2x1q45 Arizona U. Vatican Observatory, Castel Gandolfo, V-00120, Vatican City State Benabderrahmane, M. ROR:https://ror.org/00e5k0821 New York U., Abu Dhabi Division of Science, New York University Abu Dhabi, Saadiyat Island, Abu Dhabi, United Arab Emirates Bernard, E.P. ROR:https://ror.org/01an7q238 ROR:https://ror.org/02jbv0t02 UC, Berkeley LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States of America Department of Physics, University of California Berkeley, Berkeley, CA 94720, United States of America Bertone, G.F. ROR:https://ror.org/00f9tz983 ROR:https://ror.org/04jsz6e67 NIKHEF, Amsterdam NWO, The Hague Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, The Netherlands Bhattacharjee, P. ORCID:0000-0002-2672-9639 ROR:https://ror.org/0491yz035 Saha Inst. Saha Institute of Nuclear Physics, HBNI, 1/AF Bidhannagar, Kolkata 700064, India Bhatti, A. ROR:https://ror.org/047s2c258 Maryland U. Department of Physics, University of Maryland, College Park, MD 20742, United States of America Biekert, A. ROR:https://ror.org/01an7q238 ROR:https://ror.org/02jbv0t02 UC, Berkeley LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States of America Department of Physics, University of California Berkeley, Berkeley, CA 94720, United States of America Biesiadzinski, T.P. ROR:https://ror.org/05gzmn429 SLAC KIPAC, Menlo Park SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States of America Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, CA 94305, United States of America Binau, A.R. ROR:https://ror.org/02dqehb95 Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America Biondi, R. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L’Aquila, Italy Biondi, Y. ORCID:0000-0002-9323-0846 ROR:https://ror.org/02crff812 Zurich U. Physik-Institut, University of Zurich, 8057 Zurich, Switzerland Birch, H.J. ROR:https://ror.org/00jmfr291 Michigan U. University of Michigan, Randall Laboratory of Physics, Ann Arbor, MI 48109, United States of America Bishara, F. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron DESY, Notkestr. 85, 22607 Hamburg, Germany Bismark, A. ORCID:0000-0002-0574-4303 ROR:https://ror.org/02crff812 Zurich U. Physik-Institut, University of Zurich, 8057 Zurich, Switzerland Blanco, C. ORCID:0000-0001-8971-834X ROR:https://ror.org/00hx57361 ROR:https://ror.org/05f0yaq80 Princeton U. Stockholm U., OKC Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden Department of Physics, Princeton University, Princeton, NJ 08544, United States of America Blockinger, G.M. ROR:https://ror.org/012zs8222 SUNY, Albany Department of Physics, The University at Albany, The State University of New York, Albany, NY 12222, United States of America Bodnia, E. Unlisted Department of Physics, University of California, Santa Barbara, Santa Barbara, CA 93106, United States of America Boehm, C. ROR:https://ror.org/0384j8v12 Sydney U. School of Physics, The University of Sydney, NSW 2006 Camperdown, Sydney, Australia Bolozdynya, A.I. ROR:https://ror.org/04w8z7f34 Moscow Phys. Eng. Inst. National Research Nuclear University ‘MEPhI’ (Moscow Engineering Physics Institute), Moscow, 115409, Russia Bolton, P.D. ROR:https://ror.org/02jx3x895 University Coll. London Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom Bottaro, S. ROR:https://ror.org/03aydme10 ROR:https://ror.org/05symbg58 Pisa, Scuola Normale Superiore INFN, Pisa Scuola Normale Superiore, Piazza dei Cavalieri 7, 56126 Pisa, Italy INFN, Sezione di Pisa, Largo Bruno Pontecorvo 3, I-56127 Pisa, Italy Bourgeois, C. ROR:https://ror.org/03gc1p724 Orsay, LAL LAL, Université Paris-Sud, CNRS/IN2P3, Université Paris-Saclay, F-91405 Orsay, France Boxer, B. ROR:https://ror.org/041nk4h53 ROR:https://ror.org/05rrcem69 LLNL, Livermore UC, Davis University of California Davis, Department of Physics, One Shields Ave., Davis, CA 95616, United States of America Brás, P. ROR:https://ror.org/01hys1667 LIP, Coimbra LIP-Coimbra, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal Breskin, A. ROR:https://ror.org/0316ej306 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel Breur, P.A. ROR:https://ror.org/00f9tz983 ROR:https://ror.org/04jsz6e67 NIKHEF, Amsterdam NWO, The Hague Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, The Netherlands Brew, C.A.J. ROR:https://ror.org/03gq8fr08 Rutherford STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom Brod, J. ROR:https://ror.org/01e3m7079 Cincinnati U. Department of Physics, University of Cincinnati, Cincinnati, OH 45221, United States of America Brookes, E. ROR:https://ror.org/00f9tz983 ROR:https://ror.org/04jsz6e67 NIKHEF, Amsterdam NWO, The Hague Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, The Netherlands Brown, A. ORCID:0000-0002-1623-8086 ROR:https://ror.org/0245cg223 Freiburg U. Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany Brown, E. ROR:https://ror.org/01rtyzb94 Rensselaer Polytech. Inst. Department of Physics, Applied Physics and Astronomy, Rensselaer Polytechnic Institute, Troy, NY 12180, United States of America Bruenner, S. ROR:https://ror.org/00f9tz983 ROR:https://ror.org/04jsz6e67 NIKHEF, Amsterdam NWO, The Hague Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, The Netherlands Bruno, G. ROR:https://ror.org/01kxesq83 SUBATECH, Nantes SUBATECH, IMT Atlantique, Université de Nantes, CNRS/IN2P3, Nantes 44307, France Budnik, R. ORCID:0000-0002-1963-9408 ROR:https://ror.org/0316ej306 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel Bui, T.K. ROR:https://ror.org/02chw6z69 Tokyo U., IPMU Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo, Kashiwa, Chiba, 277-8582, Japan Burdin, S. ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom Buse, S. ROR:https://ror.org/02crff812 Zurich U. Physik-Institut, University of Zurich, 8057 Zurich, Switzerland Busenitz, J.K. ROR:https://ror.org/03xrrjk67 Alabama U. University of Alabama, Department of Physics & Astronomy, Tuscaloosa, AL 34587, United States of America Buttazzo, D. ROR:https://ror.org/05symbg58 INFN, Pisa INFN, Sezione di Pisa, Largo Bruno Pontecorvo 3, I-56127 Pisa, Italy Buuck, M. ROR:https://ror.org/05gzmn429 SLAC KIPAC, Menlo Park SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States of America Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, CA 94305, United States of America Buzulutskov, A. ROR:https://ror.org/03e5eem51 ROR:https://ror.org/04t2ss102 Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics SB RAS, Lavrentiev Avenue 11, 630090 Novosibirsk, Russia Novosibirsk State University, Pirogov Street 2, 630090 Novosibirsk, Russia Cabrita, R. ROR:https://ror.org/01hys1667 LIP, Coimbra LIP-Coimbra, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal Cai, C. ROR:https://ror.org/03cve4549 Tsinghua U., Beijing Department of Physics & Center for High Energy Physics, Tsinghua University, Beijing 100084, People’s Republic of China Cai, D. ROR:https://ror.org/01kxesq83 SUBATECH, Nantes SUBATECH, IMT Atlantique, Université de Nantes, CNRS/IN2P3, Nantes 44307, France Capelli, C. ORCID:0000-0003-3330-621X ROR:https://ror.org/02crff812 Zurich U. Physik-Institut, University of Zurich, 8057 Zurich, Switzerland Cardoso, J.M.R. ROR:https://ror.org/04z8k9a98 Coimbra U. LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal Carmona-Benitez, M.C. ORCID:0000-0001-7052-2785 ROR:https://ror.org/04p491231 Penn State U. Department of Physics, Pennsylvania State University, 104 Davey Lab, University Park, PA 16802, United States of America Cascella, M. ROR:https://ror.org/02jx3x895 University Coll. London Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom Catena, R. ROR:https://ror.org/040wg7k59 Chalmers U. Tech. Chalmers University of Technology, Department of Physics, SE-412 96 Göteborg, Sweden Chakraborty, S. ORCID:0000-0002-1458-8517 ROR:https://ror.org/0022nd079 Indian Inst. Tech., Guwahati Department of Physics, Indian Institute of Technology—Guwahati, Guwahati 781039, India Chan, C. ROR:https://ror.org/05gq02987 Brown U. Department of Physics, Brown University, 182 Hope Street, Providence, RI 02912, United States of America Chang, S. ORCID:0000-0002-2727-6723 ROR:https://ror.org/0293rh119 Oregon U. Department of Physics and Institute for Fundamental Science, University of Oregon, Eugene, OR 97403, United States of America Chauvin, A. ROR:https://ror.org/038t36y30 Heidelberg U. Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Chawla, A. ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Royal Holloway, University of London, Department of Physics, Egham, TW20 0EX, United Kingdom Chen, H. ROR:https://ror.org/02jbv0t02 LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States of America Chepel, V. ROR:https://ror.org/01hys1667 LIP, Coimbra LIP-Coimbra, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal Chott, N.I. ROR:https://ror.org/00ch7yk27 South Dakota Sch. Mines Tech. South Dakota School of Mines and Technology, Rapid City, SD 57701, United States of America Cichon, D. ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany Chavez, A. Cimental ROR:https://ror.org/02crff812 Zurich U. Physik-Institut, University of Zurich, 8057 Zurich, Switzerland Cimmino, B. Naples U. Department of Physics ‘Ettore Pancini’, University of Napoli and INFN-Napoli, 80126 Napoli, Italy Clark, M. ROR:https://ror.org/02dqehb95 Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America Co, R.T. ORCID:0000-0002-8395-7056 ROR:https://ror.org/017zqws13 Minnesota U., Theor. Phys. Inst. William I Fine Theoretical Physics Institute, School of Physics and Astronomy, University of Minnesota, Minneapolis, MN 55455, United States of America Colijn, A.P. ROR:https://ror.org/00f9tz983 ROR:https://ror.org/04jsz6e67 NIKHEF, Amsterdam NWO, The Hague Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, The Netherlands Conrad, J. ROR:https://ror.org/05f0yaq80 Stockholm U., OKC Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden Converse, M.V. ROR:https://ror.org/022kthw22 Rochester U. Department of Physics and Astronomy, The University of Rochester, Rochester, NY 14627, United States of America Costa, M. ORCID:0000-0002-8113-9105 ROR:https://ror.org/03aydme10 ROR:https://ror.org/05symbg58 Pisa, Scuola Normale Superiore INFN, Pisa Scuola Normale Superiore, Piazza dei Cavalieri 7, 56126 Pisa, Italy INFN, Sezione di Pisa, Largo Bruno Pontecorvo 3, I-56127 Pisa, Italy Cottle, A. ORCID:0000-0003-4274-3622 ROR:https://ror.org/052gg0110 ROR:https://ror.org/020hgte69 Oxford U. Fermilab Department of Physics, University of Oxford, Keble Rd, Oxford OX1 3RH, United Kingdom Fermi National Accelerator Laboratory, Batavia, IL 60510, United States of America Cox, G. ROR:https://ror.org/04p491231 Penn State U. Department of Physics, Pennsylvania State University, 104 Davey Lab, University Park, PA 16802, United States of America Creaner, O. ROR:https://ror.org/051sx6d27 Dublin Inst. Dublin Institute for Advanced Studies, Dublin, D02 XF86, Ireland Garcia, J.J. Cuenca ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institute for Astroparticle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Cussonneau, J.P. ROR:https://ror.org/01kxesq83 SUBATECH, Nantes SUBATECH, IMT Atlantique, Université de Nantes, CNRS/IN2P3, Nantes 44307, France Cutter, J.E. ROR:https://ror.org/041nk4h53 ROR:https://ror.org/05rrcem69 LLNL, Livermore UC, Davis University of California Davis, Department of Physics, One Shields Ave., Davis, CA 95616, United States of America Dahl, C.E. ROR:https://ror.org/000e0be47 ROR:https://ror.org/020hgte69 Northwestern U. Fermilab Fermi National Accelerator Laboratory, Batavia, IL 60510, United States of America Department of Physics & Astronomy, Northwestern University, Evanston, IL 60208, United States of America D'Andrea, V. ROR:https://ror.org/01j9p1r26 L'Aquila U. Department of Physics and Chemistry, University of L’Aquila, 67100 L’Aquila, Italy David, A. ROR:https://ror.org/02jx3x895 University Coll. London Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom Decowski, M.P. ROR:https://ror.org/00f9tz983 ROR:https://ror.org/04jsz6e67 NIKHEF, Amsterdam NWO, The Hague Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, The Netherlands Dent, J.B. Sam Houston State U. Department of Physics, Sam Houston State University, Huntsville, TX 77341, United States of America Deppisch, F.F. ROR:https://ror.org/02jx3x895 University Coll. London Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom de Viveiros, L. ROR:https://ror.org/04p491231 Penn State U. Department of Physics, Pennsylvania State University, 104 Davey Lab, University Park, PA 16802, United States of America Di Gangi, P. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 U. Bologna, DIFA INFN, Bologna Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy Di Giovanni, A. ROR:https://ror.org/00e5k0821 New York U., Abu Dhabi Division of Science, New York University Abu Dhabi, Saadiyat Island, Abu Dhabi, United Arab Emirates Di Pede, S. ROR:https://ror.org/00f9tz983 ROR:https://ror.org/04jsz6e67 NIKHEF, Amsterdam NWO, The Hague Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, The Netherlands Dierle, J. ROR:https://ror.org/0245cg223 Freiburg U. Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany Diglio, S. ROR:https://ror.org/01kxesq83 SUBATECH, Nantes SUBATECH, IMT Atlantique, Université de Nantes, CNRS/IN2P3, Nantes 44307, France Dobson, J.E.Y. ROR:https://ror.org/02jx3x895 University Coll. London Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom Doerenkamp, M. ROR:https://ror.org/038t36y30 Heidelberg U. Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Douillet, D. ROR:https://ror.org/03gc1p724 Orsay, LAL LAL, Université Paris-Sud, CNRS/IN2P3, Université Paris-Saclay, F-91405 Orsay, France Drexlin, G. ROR:https://ror.org/04t3en479 KIT, Karlsruhe, EKP Institute of Experimental Particle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Druszkiewicz, E. ROR:https://ror.org/022kthw22 Rochester U. Department of Physics and Astronomy, The University of Rochester, Rochester, NY 14627, United States of America Dunsky, D. ROR:https://ror.org/01an7q238 UC, Berkeley Department of Physics, University of California Berkeley, Berkeley, CA 94720, United States of America Eitel, K. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institute for Astroparticle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Elykov, A. ROR:https://ror.org/0245cg223 Freiburg U. Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany Emken, T. ROR:https://ror.org/05f0yaq80 Stockholm U., OKC Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden Engel, R. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institute for Astroparticle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Eriksen, S.R. ORCID:0000-0002-5298-7092 ROR:https://ror.org/0524sp257 Bristol U. University of Bristol, H H Wills Physics Laboratory, Bristol, BS8 1TL, United Kingdom Fairbairn, M. ROR:https://ror.org/0220mzb33 King's Coll. London Physics, King’s College London, Strand, London WC2R 2LS, United Kingdom Fan, A. ROR:https://ror.org/05gzmn429 SLAC KIPAC, Menlo Park SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States of America Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, CA 94305, United States of America Fan, J.J. ROR:https://ror.org/05gq02987 Brown U. Department of Physics, Brown University, 182 Hope Street, Providence, RI 02912, United States of America Farrell, S.J. ROR:https://ror.org/008zs3103 Rice U. Department of Physics and Astronomy, Rice University, Houston, TX 77005, United States of America Fayer, S. ROR:https://ror.org/041kmwe10 Imperial Coll., London Department of Physics, Blackett Laboratory, Imperial College London, London SW7 2BW, United Kingdom Fearon, N.M. ORCID:0000-0002-6077-6746 ROR:https://ror.org/052gg0110 Oxford U. Department of Physics, University of Oxford, Keble Rd, Oxford OX1 3RH, United Kingdom Ferella, A. ROR:https://ror.org/01j9p1r26 L'Aquila U. Department of Physics and Chemistry, University of L’Aquila, 67100 L’Aquila, Italy Ferrari, C. ORCID:0000-0002-0838-2328 ROR:https://ror.org/02s8k0k61 Gran Sasso INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L’Aquila, Italy Fieguth, A. ROR:https://ror.org/00pd74e08 Munster U. Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, Münster, Germany Fiorucci, S. ROR:https://ror.org/02jbv0t02 LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States of America Fischer, H. ROR:https://ror.org/0245cg223 Freiburg U. Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany Flaecher, H. ROR:https://ror.org/0524sp257 Bristol U. University of Bristol, H H Wills Physics Laboratory, Bristol, BS8 1TL, United Kingdom Flierman, M. ROR:https://ror.org/00f9tz983 ROR:https://ror.org/04jsz6e67 NIKHEF, Amsterdam NWO, The Hague Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, The Netherlands Florek, T. ROR:https://ror.org/02dqehb95 Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America Foot, R. ROR:https://ror.org/01ej9dk98 Melbourne U. ARC Centre of Excellence for Dark Matter Particle Physics, School of Physics, The University of Melbourne, VIC 3010, Australia Fox, P.J. ORCID:0000-0001-5906-2204 ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, IL 60510, United States of America Franceschini, R. ROR:https://ror.org/009wnjh50 ROR:https://ror.org/05vf0dg29 INFN, Rome3 Rome III U. Università degli Studi and INFN Roma Tre, Via della Vasca Navale 84, I-00146, Rome, Italy Fraser, E.D. ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom Frenk, C.S. ROR:https://ror.org/01v29qb04 ROR:https://ror.org/01v29qb04 Durham U. Durham U., ICC Institute for Computational Cosmology, Department of Physics, University of Durham, South Road, Durham, DH1 3LE, United Kingdom Frohlich, S. ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Institut für Physik & Exzellenzcluster PRISMA, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany Fruth, T. ROR:https://ror.org/02jx3x895 University Coll. London Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom Fulgione, W. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L’Aquila, Italy Fuselli, C. ROR:https://ror.org/00f9tz983 ROR:https://ror.org/04jsz6e67 NIKHEF, Amsterdam NWO, The Hague Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, The Netherlands Gaemers, P. ROR:https://ror.org/00f9tz983 ROR:https://ror.org/04jsz6e67 NIKHEF, Amsterdam NWO, The Hague Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, The Netherlands Gaior, R. Paris U., VI-VII LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France Gaitskell, R.J. ROR:https://ror.org/05gq02987 Brown U. Department of Physics, Brown University, 182 Hope Street, Providence, RI 02912, United States of America Galloway, M. ORCID:0000-0002-8323-9564 ROR:https://ror.org/02crff812 Zurich U. Physik-Institut, University of Zurich, 8057 Zurich, Switzerland Gao, F. ROR:https://ror.org/03cve4549 Tsinghua U., Beijing Department of Physics & Center for High Energy Physics, Tsinghua University, Beijing 100084, People’s Republic of China Garcia Garcia, I. ROR:https://ror.org/02t274463 Santa Barbara, KITP Kavli Institute for Theoretical Physics, University of California, Santa Barbara, CA 93106, United States of America Genovesi, J. ROR:https://ror.org/00ch7yk27 South Dakota Sch. Mines Tech. South Dakota School of Mines and Technology, Rapid City, SD 57701, United States of America Ghag, C. ROR:https://ror.org/02jx3x895 University Coll. London Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom Ghosh, S. ROR:https://ror.org/0491yz035 Saha Inst. Saha Institute of Nuclear Physics, HBNI, 1/AF Bidhannagar, Kolkata 700064, India Gibson, E. ROR:https://ror.org/052gg0110 Oxford U. Department of Physics, University of Oxford, Keble Rd, Oxford OX1 3RH, United Kingdom Gil, W. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institute for Astroparticle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Giovagnoli, D. ROR:https://ror.org/01kxesq83 ROR:https://ror.org/01g3mb532 SUBATECH, Nantes Strasbourg, IPHC SUBATECH, IMT Atlantique, Université de Nantes, CNRS/IN2P3, Nantes 44307, France IPHC, CNRS, 67037 Strasbourg, France Girard, F. ROR:https://ror.org/02crff812 Zurich U. Physik-Institut, University of Zurich, 8057 Zurich, Switzerland Glade-Beucke, R. ROR:https://ror.org/0245cg223 Freiburg U. Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany Glück, F. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institute for Astroparticle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Gokhale, S. ROR:https://ror.org/02ex6cf31 Brookhaven Brookhaven National Laboratory (BNL), Upton, NY 11973, United States of America de Gouvêa, A. ORCID:0000-0002-9835-7731 ROR:https://ror.org/000e0be47 Northwestern U. Department of Physics & Astronomy, Northwestern University, Evanston, IL 60208, United States of America Gráf, L. ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany Grandi, L. ROR:https://ror.org/024mw5h28 Chicago U., KICP Department of Physics & Kavli Institute for Cosmological Physics, The University of Chicago, Chicago, IL 60637, United States of America Grigat, J. ROR:https://ror.org/0245cg223 Freiburg U. Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany Grinstein, B. ROR:https://ror.org/0168r3w48 UC, San Diego Department of Physics, University of California San Diego, La Jolla, CA 92093, United States of America van der Grinten, M.G.D. ROR:https://ror.org/03gq8fr08 Rutherford STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom Grössle, R. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institute for Astroparticle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Guan, H. ROR:https://ror.org/02dqehb95 Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America Guida, M. ORCID:0000-0001-5126-0337 ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany Gumbsheimer, R. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institute for Astroparticle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Gwilliam, C.B. ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom Hall, C.R. ROR:https://ror.org/047s2c258 Maryland U. Department of Physics, University of Maryland, College Park, MD 20742, United States of America Hall, L.J. ROR:https://ror.org/01an7q238 ROR:https://ror.org/02jbv0t02 UC, Berkeley LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States of America Department of Physics, University of California Berkeley, Berkeley, CA 94720, United States of America Hammann, R. ORCID:0000-0001-6149-9413 ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany Han, K. ROR:https://ror.org/0220qvk04 Shanghai Jiaotong U. School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, 200240, People’s Republic of China Hannen, V. ROR:https://ror.org/00pd74e08 Munster U. Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany Hansmann-Menzemer, S. ROR:https://ror.org/038t36y30 Heidelberg U. Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Harata, R. ROR:https://ror.org/04chrp450 KMI, Nagoya Kobayashi–Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space–Earth Environmental Research, Nagoya University, Aichi 464-8602, Japan Hardin, S.P. ROR:https://ror.org/02dqehb95 Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America Hardy, E. ORCID:0000-0003-3263-6575 ROR:https://ror.org/04xs57h96 Liverpool U., Dept. Math. University of Liverpool, Department of Mathematical Sciences, Liverpool L69 3BX, United Kingdom Hardy, C.A. ROR:https://ror.org/00f54p054 Stanford U., Phys. Dept. Physics Department, Stanford University, Stanford, CA 94305, United States of America Harigaya, K. ORCID:0000-0001-6516-3386 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/00f809463 CERN Princeton, Inst. Advanced Study Theoretical Physics Department, CERN, 1211 Geneva 23, Switzerland School of Natural Sciences, Institute for Advanced Study, Princeton, NJ 08540, United States of America Harnik, R. ORCID:0000-0001-7293-7175 ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, IL 60510, United States of America Haselschwardt, S.J. ROR:https://ror.org/02jbv0t02 LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States of America Hernandez, M. ROR:https://ror.org/0168r3w48 UC, San Diego Department of Physics, University of California San Diego, La Jolla, CA 92093, United States of America Hertel, S.A. ROR:https://ror.org/0072zz521 Massachusetts U., Amherst Department of Physics, University of Massachusetts, Amherst, MA 01003, United States of America Higuera, A. ROR:https://ror.org/008zs3103 Rice U. Department of Physics and Astronomy, Rice University, Houston, TX 77005, United States of America Hils, C. ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Institut für Physik & Exzellenzcluster PRISMA, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany Hochrein, S. ROR:https://ror.org/02crff812 Zurich U. Physik-Institut, University of Zurich, 8057 Zurich, Switzerland Hoetzsch, L. ORCID:0000-0003-2572-477X ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany Hoferichter, M. ROR:https://ror.org/02k7v4d05 ROR:https://ror.org/00cvxb145 U. Bern, AEC Washington U., Seattle Albert Einstein Center for Fundamental Physics, Institute for Theoretical Physics, University of Bern, Sidlerstrasse 5, 3012 Bern, Switzerland Institute for Nuclear Theory, University of Washington, Seattle, WA 98195, United States of America Hood, N. ORCID:0000-0003-2507-7656 ROR:https://ror.org/0168r3w48 UC, San Diego Department of Physics, University of California San Diego, La Jolla, CA 92093, United States of America Hooper, D. ORCID:0000-0001-8837-4127 ROR:https://ror.org/020hgte69 ROR:https://ror.org/024mw5h28 Fermilab Chicago U., Astron. Astrophys. Ctr. Fermi National Accelerator Laboratory, Batavia, IL 60510, United States of America Department of Astronomy and Astrophysics & Kavli Institute for Cosmological Physics, The University of Chicago, Chicago, IL 60637, United States of America Horn, M. ORCID:0000-0003-1624-9890 ROR:https://ror.org/0043h8f16 South Dakota U. South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, SD 57754, United States of America Howlett, J. ROR:https://ror.org/00hj8s172 Columbia U. Physics Department, Columbia University, New York, NY 10027, United States of America Huang, D.Q. ROR:https://ror.org/00jmfr291 Michigan U. University of Michigan, Randall Laboratory of Physics, Ann Arbor, MI 48109, United States of America Huang, Y. ROR:https://ror.org/012zs8222 SUNY, Albany Department of Physics, The University at Albany, The State University of New York, Albany, NY 12222, United States of America Hunt, D. ROR:https://ror.org/052gg0110 Oxford U. Department of Physics, University of Oxford, Keble Rd, Oxford OX1 3RH, United Kingdom Iacovacci, M. Naples U. Department of Physics ‘Ettore Pancini’, University of Napoli and INFN-Napoli, 80126 Napoli, Italy Iaquaniello, G. ROR:https://ror.org/03gc1p724 Orsay, LAL LAL, Université Paris-Sud, CNRS/IN2P3, Université Paris-Saclay, F-91405 Orsay, France Ide, R. ROR:https://ror.org/04chrp450 KMI, Nagoya Kobayashi–Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space–Earth Environmental Research, Nagoya University, Aichi 464-8602, Japan Ignarra, C.M. ROR:https://ror.org/05gzmn429 SLAC KIPAC, Menlo Park SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States of America Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, CA 94305, United States of America Iloglu, G. ROR:https://ror.org/02dqehb95 Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America Itow, Y. ROR:https://ror.org/04chrp450 KMI, Nagoya Kobayashi–Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space–Earth Environmental Research, Nagoya University, Aichi 464-8602, Japan Jacquet, E. ORCID:0000-0001-8524-9128 ROR:https://ror.org/041kmwe10 Imperial Coll., London Department of Physics, Blackett Laboratory, Imperial College London, London SW7 2BW, United Kingdom Jahangir, O. ROR:https://ror.org/02jx3x895 University Coll. London Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom Jakob, J. ROR:https://ror.org/00pd74e08 Munster U. Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany James, R.S. ROR:https://ror.org/02jx3x895 University Coll. London Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom Jansen, A. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institute for Astroparticle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Ji, W. ROR:https://ror.org/05gzmn429 SLAC KIPAC, Menlo Park SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States of America Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, CA 94305, United States of America Ji, X. ROR:https://ror.org/047s2c258 Maryland U. Department of Physics, University of Maryland, College Park, MD 20742, United States of America Joerg, F. ORCID:0000-0003-1719-3294 ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany Johnson, J. ROR:https://ror.org/041nk4h53 ROR:https://ror.org/05rrcem69 LLNL, Livermore UC, Davis University of California Davis, Department of Physics, One Shields Ave., Davis, CA 95616, United States of America Joy, A. ROR:https://ror.org/05f0yaq80 Stockholm U., OKC Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden Kaboth, A.C. ROR:https://ror.org/04g2vpn86 ROR:https://ror.org/03gq8fr08 Royal Holloway, U. of London Rutherford STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom Royal Holloway, University of London, Department of Physics, Egham, TW20 0EX, United Kingdom Kalhor, L. ROR:https://ror.org/0091vmj44 ROR:https://ror.org/02dqehb95 Shahid Beheshti U. Purdue U. Department of Physics, Shahid Beheshti University, Tehran, Islamic Republic of Iran Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America Kamaha, A.C. ORCID:0000-0002-1553-8474 ROR:https://ror.org/012zs8222 ROR:https://ror.org/046rm7j60 SUNY, Albany UCLA Department of Physics, The University at Albany, The State University of New York, Albany, NY 12222, United States of America Physics & Astronomy Department, University of California, Los Angeles, CA 90095, United States of America Kanezaki, K. ROR:https://ror.org/03tgsfw79 Kobe U. Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan Kar, K. ROR:https://ror.org/03kp2qt98 RKMVERI, West Bengal Ramakrishna Mission Vivekananda Educational and Research Institute, Belur Math, Howrah 711202, India Kara, M. ORCID:0009-0004-5080-9446 ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institute for Astroparticle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Kato, N. ROR:https://ror.org/04djymq25 Kamioka Observ. Kamioka Observatory, Institute for Cosmic Ray Research, The University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu, 506-1205, Japan Kavrigin, P. ROR:https://ror.org/0316ej306 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel Kazama, S. ROR:https://ror.org/04chrp450 KMI, Nagoya Kobayashi–Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space–Earth Environmental Research, Nagoya University, Aichi 464-8602, Japan Keaveney, A.W. ROR:https://ror.org/02dqehb95 Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America Kellerer, J. ROR:https://ror.org/04t3en479 KIT, Karlsruhe, EKP Institute of Experimental Particle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Khaitan, D. ROR:https://ror.org/022kthw22 Rochester U. Department of Physics and Astronomy, The University of Rochester, Rochester, NY 14627, United States of America Khazov, A. ROR:https://ror.org/03gq8fr08 Rutherford STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom Khundzakishvili, G. ROR:https://ror.org/02dqehb95 Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America Khurana, I. ROR:https://ror.org/02jx3x895 University Coll. London Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom Kilminster, B. ROR:https://ror.org/02crff812 Zurich U. Physik-Institut, University of Zurich, 8057 Zurich, Switzerland Kleifges, M. ROR:https://ror.org/04t3en479 KIT, Karlsruhe, IPE Institute for Data Processing and Electronics, Karlsruhe Institute of Technology, Karlsruhe, Germany Ko, P. ROR:https://ror.org/041hz9568 Korea Inst. Advanced Study, Seoul School of Physics, KIAS, 85 Hoegiro, Seoul 02455, Republic of Korea Quantum Universe Center, KIAS, 85 Hoegiro, Seoul 02455, Republic of Korea Kobayashi, M. ROR:https://ror.org/04chrp450 KMI, Nagoya Kobayashi–Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space–Earth Environmental Research, Nagoya University, Aichi 464-8602, Japan Kodroff, D. ROR:https://ror.org/04p491231 Penn State U. Department of Physics, Pennsylvania State University, 104 Davey Lab, University Park, PA 16802, United States of America Koltmann, G. ROR:https://ror.org/0316ej306 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel Kopec, A. ROR:https://ror.org/02dqehb95 ROR:https://ror.org/0168r3w48 Purdue U. UC, San Diego Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America Department of Physics, University of California San Diego, La Jolla, CA 92093, United States of America Kopmann, A. ROR:https://ror.org/04t3en479 KIT, Karlsruhe, IPE Institute for Data Processing and Electronics, Karlsruhe Institute of Technology, Karlsruhe, Germany Kopp, J. ROR:https://ror.org/01ggx4157 ROR:https://ror.org/023b0x485 CERN Mainz U., Inst. Phys. Institut für Physik & Exzellenzcluster PRISMA, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany Theoretical Physics Department, CERN, 1211 Geneva 23, Switzerland Korley, L. ROR:https://ror.org/00jmfr291 Michigan U. University of Michigan, Randall Laboratory of Physics, Ann Arbor, MI 48109, United States of America Kornoukhov, V.N. ROR:https://ror.org/04w8z7f34 ROR:https://ror.org/01a1xfd09 Moscow Phys. Eng. Inst. Moscow, INR National Research Nuclear University ‘MEPhI’ (Moscow Engineering Physics Institute), Moscow, 115409, Russia Institute for Nuclear Research, Moscow, 117312, Russia Korolkova, E.V. ROR:https://ror.org/05krs5044 Sheffield U. University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom Kraus, H. ROR:https://ror.org/052gg0110 Oxford U. Department of Physics, University of Oxford, Keble Rd, Oxford OX1 3RH, United Kingdom Krauss, L.M. ROR:https://ror.org/04vrjya53 OPF, Phoenix Origins Project Foundation, Phoenix, AZ 85020, United States of America Kravitz, S. ROR:https://ror.org/02jbv0t02 LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States of America Kreczko, L. ROR:https://ror.org/0524sp257 Bristol U. University of Bristol, H H Wills Physics Laboratory, Bristol, BS8 1TL, United Kingdom Kudryavtsev, V.A. ORCID:0000-0002-7018-5827 ROR:https://ror.org/05krs5044 Sheffield U. University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom Kuger, F. ORCID:0000-0001-9475-3916 ROR:https://ror.org/0245cg223 Freiburg U. Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany Kumar, J. ROR:https://ror.org/01wspgy28 Hawaii U. Department of Physics and Astronomy, University of Hawai’i, Honolulu, HI 96822, United States of America Paredes, B. López ROR:https://ror.org/041kmwe10 Imperial Coll., London Department of Physics, Blackett Laboratory, Imperial College London, London SW7 2BW, United Kingdom LaCascio, L. ROR:https://ror.org/04t3en479 KIT, Karlsruhe, EKP Institute of Experimental Particle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Laha, R. ROR:https://ror.org/04dese585 Bangalore, Indian Inst. Sci. Centre for High Energy Physics, Indian Institute of Science, Bangalore 560012, India Laine, Q. ROR:https://ror.org/01kxesq83 SUBATECH, Nantes SUBATECH, IMT Atlantique, Université de Nantes, CNRS/IN2P3, Nantes 44307, France Landsman, H. ROR:https://ror.org/0316ej306 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel Lang, R.F. ORCID:0000-0001-7594-2746 ROR:https://ror.org/02dqehb95 Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America Leason, E.A. ROR:https://ror.org/01nrxwf90 Edinburgh U. SUPA, School of Physics and Astronomy, University of Edinburgh, Edinburgh, EH9 3FD, United Kingdom Lee, J. IBS, Daejeon, CUP IBS Center for Underground Physics (CUP), Yuseong-gu, Daejeon, Republic of Korea Leonard, D.S. IBS, Daejeon, CUP IBS Center for Underground Physics (CUP), Yuseong-gu, Daejeon, Republic of Korea Lesko, K.T. ROR:https://ror.org/02jbv0t02 LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States of America Levinson, L. ROR:https://ror.org/0316ej306 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel Levy, C. ROR:https://ror.org/012zs8222 SUNY, Albany Department of Physics, The University at Albany, The State University of New York, Albany, NY 12222, United States of America Li, I. ROR:https://ror.org/008zs3103 Rice U. Department of Physics and Astronomy, Rice University, Houston, TX 77005, United States of America Li, S.C. ORCID:0000-0003-0379-1111 ROR:https://ror.org/02dqehb95 Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America Li, T. ROR:https://ror.org/01y1kjr75 Nankai U. School of Physics, Nankai University, Tianjin 300071, People’s Republic of China Liang, S. ROR:https://ror.org/008zs3103 Rice U. Department of Physics and Astronomy, Rice University, Houston, TX 77005, United States of America Liebenthal, C.S. ROR:https://ror.org/008zs3103 Rice U. Department of Physics and Astronomy, Rice University, Houston, TX 77005, United States of America Lin, J. ROR:https://ror.org/01an7q238 ROR:https://ror.org/02jbv0t02 UC, Berkeley LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States of America Department of Physics, University of California Berkeley, Berkeley, CA 94720, United States of America Lin, Q. ROR:https://ror.org/04c4dkn09 Hefei, CUST Department of Physics, University of Science and Technology of China, Hefei, Anhui, People’s Republic of China Lindemann, S. ROR:https://ror.org/0245cg223 Freiburg U. Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany Lindner, M. ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany Lindote, A. ROR:https://ror.org/01hys1667 LIP, Coimbra LIP-Coimbra, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal Linehan, R. ORCID:0000-0003-2785-018X ROR:https://ror.org/05gzmn429 SLAC KIPAC, Menlo Park SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States of America Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, CA 94305, United States of America Lippincott, W.H. ROR:https://ror.org/020hgte69 Unlisted Fermilab Department of Physics, University of California, Santa Barbara, Santa Barbara, CA 93106, United States of America Fermi National Accelerator Laboratory, Batavia, IL 60510, United States of America Liu, X. ROR:https://ror.org/01nrxwf90 Edinburgh U. SUPA, School of Physics and Astronomy, University of Edinburgh, Edinburgh, EH9 3FD, United Kingdom Liu, K. ROR:https://ror.org/03cve4549 Tsinghua U., Beijing Department of Physics & Center for High Energy Physics, Tsinghua University, Beijing 100084, People’s Republic of China Liu, J. ROR:https://ror.org/0220qvk04 Shanghai Jiaotong U. School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, 200240, People’s Republic of China Loizeau, J. ROR:https://ror.org/01kxesq83 SUBATECH, Nantes SUBATECH, IMT Atlantique, Université de Nantes, CNRS/IN2P3, Nantes 44307, France Lombardi, F. ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Institut für Physik & Exzellenzcluster PRISMA, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany Long, J. ORCID:0000-0002-5617-7337 ROR:https://ror.org/024mw5h28 Chicago U., KICP Department of Physics & Kavli Institute for Cosmological Physics, The University of Chicago, Chicago, IL 60637, United States of America Lopes, M.I. ROR:https://ror.org/01hys1667 LIP, Coimbra LIP-Coimbra, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal Lopez Asamar, E. ROR:https://ror.org/01hys1667 LIP, Coimbra LIP-Coimbra, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal Lorenzon, W. ROR:https://ror.org/00jmfr291 Michigan U. University of Michigan, Randall Laboratory of Physics, Ann Arbor, MI 48109, United States of America Lu, C. ROR:https://ror.org/05gq02987 Brown U. Department of Physics, Brown University, 182 Hope Street, Providence, RI 02912, United States of America Luitz, S. ROR:https://ror.org/05gzmn429 SLAC SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States of America Ma, Y. ROR:https://ror.org/0168r3w48 UC, San Diego Department of Physics, University of California San Diego, La Jolla, CA 92093, United States of America Machado, P.A.N. ORCID:0000-0002-9118-7354 ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, IL 60510, United States of America Macolino, C. ROR:https://ror.org/01j9p1r26 L'Aquila U. Department of Physics and Chemistry, University of L’Aquila, 67100 L’Aquila, Italy Maeda, T. ROR:https://ror.org/03tgsfw79 Kobe U. Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan Mahlstedt, J. ROR:https://ror.org/05f0yaq80 Stockholm U., OKC Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden Majewski, P.A. ROR:https://ror.org/03gq8fr08 Rutherford STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom Manalaysay, A. ROR:https://ror.org/02jbv0t02 LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States of America Mancuso, A. ORCID:0009-0002-2018-6095 ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 U. Bologna, DIFA INFN, Bologna Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy Manenti, L. ROR:https://ror.org/00e5k0821 New York U., Abu Dhabi Division of Science, New York University Abu Dhabi, Saadiyat Island, Abu Dhabi, United Arab Emirates Manfredini, A. ROR:https://ror.org/02crff812 Zurich U. Physik-Institut, University of Zurich, 8057 Zurich, Switzerland Mannino, R.L. ROR:https://ror.org/01y2jtd41 Wisconsin U., Madison Department of Physics, University of Wisconsin–Madison, Madison, WI 53706, United States of America Marangou, N. ROR:https://ror.org/041kmwe10 Imperial Coll., London Department of Physics, Blackett Laboratory, Imperial College London, London SW7 2BW, United Kingdom March-Russell, J. ORCID:0000-0003-0483-0530 ROR:https://ror.org/052gg0110 Oxford U. Department of Physics, University of Oxford, Keble Rd, Oxford OX1 3RH, United Kingdom Marignetti, F. Naples U. Department of Physics ‘Ettore Pancini’, University of Napoli and INFN-Napoli, 80126 Napoli, Italy Undagoitia, T. Marrodán ORCID:0000-0001-9332-6074 ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany Martens, K. ROR:https://ror.org/02chw6z69 Tokyo U., IPMU Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo, Kashiwa, Chiba, 277-8582, Japan Martin, R. Paris U., VI-VII LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France Martinez-Soler, I. ROR:https://ror.org/03vek6s52 Harvard U. Department of Physics & Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA 02138, United States of America Masbou, J. ROR:https://ror.org/01kxesq83 SUBATECH, Nantes SUBATECH, IMT Atlantique, Université de Nantes, CNRS/IN2P3, Nantes 44307, France Masson, D. ROR:https://ror.org/0245cg223 Freiburg U. Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany Masson, E. ORCID:0000-0002-5628-8926 Paris U., VI-VII LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France Mastroianni, S. Naples U. Department of Physics ‘Ettore Pancini’, University of Napoli and INFN-Napoli, 80126 Napoli, Italy Mastronardi, M. Naples U. Department of Physics ‘Ettore Pancini’, University of Napoli and INFN-Napoli, 80126 Napoli, Italy Matias-Lopes, J.A. ROR:https://ror.org/04z8k9a98 Coimbra U. LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal McCarthy, M.E. ROR:https://ror.org/022kthw22 Rochester U. Department of Physics and Astronomy, The University of Rochester, Rochester, NY 14627, United States of America McFadden, N. ROR:https://ror.org/02crff812 Zurich U. Physik-Institut, University of Zurich, 8057 Zurich, Switzerland McGinness, E. ROR:https://ror.org/01an7q238 UC, Berkeley Department of Physics, University of California Berkeley, Berkeley, CA 94720, United States of America McKinsey, D.N. ORCID:0000-0001-5723-2409 ROR:https://ror.org/01an7q238 ROR:https://ror.org/02jbv0t02 UC, Berkeley LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States of America Department of Physics, University of California Berkeley, Berkeley, CA 94720, United States of America McLaughlin, J. ROR:https://ror.org/000e0be47 Northwestern U. Department of Physics & Astronomy, Northwestern University, Evanston, IL 60208, United States of America McMichael, K. ROR:https://ror.org/01rtyzb94 Rensselaer Polytech. Inst. Department of Physics, Applied Physics and Astronomy, Rensselaer Polytechnic Institute, Troy, NY 12180, United States of America Meinhardt, P. ROR:https://ror.org/0245cg223 Freiburg U. Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany Menéndez, J. ORCID:0000-0002-1355-4147 ROR:https://ror.org/021018s57 ICC, Barcelona U. Tokyo U., CNS Department of Quantum Physics and Astrophysics and Institute of Cosmos Sciences, University of Barcelona, 08028 Barcelona, Spain Center for Nuclear Study, The University of Tokyo, 113-0033 Tokyo, Japan Meng, Y. ROR:https://ror.org/0220qvk04 Shanghai Jiaotong U. School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, 200240, People’s Republic of China Messina, M. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L’Aquila, Italy Midha, R. ROR:https://ror.org/02dqehb95 Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America Milisavljevic, D. ROR:https://ror.org/02dqehb95 Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America Miller, E.H. ROR:https://ror.org/05gzmn429 SLAC KIPAC, Menlo Park SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States of America Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, CA 94305, United States of America Milosevic, B. ROR:https://ror.org/02qsmb048 VINCA Inst. Nucl. Sci., Belgrade Vinca Institute of Nuclear Science, University of Belgrade, Mihajla Petrovica Alasa 12–14, Belgrade, Serbia Milutinovic, S. ROR:https://ror.org/02qsmb048 VINCA Inst. Nucl. Sci., Belgrade Vinca Institute of Nuclear Science, University of Belgrade, Mihajla Petrovica Alasa 12–14, Belgrade, Serbia Mitra, S.A. ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Institut für Physik & Exzellenzcluster PRISMA, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany Miuchi, K. ROR:https://ror.org/03tgsfw79 Kobe U. Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan Mizrachi, E. ROR:https://ror.org/047s2c258 ROR:https://ror.org/041nk4h53 Maryland U. LLNL, Livermore Department of Physics, University of Maryland, College Park, MD 20742, United States of America Lawrence Livermore National Laboratory, Livermore, CA 94550, United States of America Mizukoshi, K. ROR:https://ror.org/03tgsfw79 Kobe U. Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan Molinario, A. ROR:https://ror.org/01vj6ck58 INFN, Turin OATo, Turin INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy Monte, A. ROR:https://ror.org/020hgte69 Unlisted Fermilab Department of Physics, University of California, Santa Barbara, Santa Barbara, CA 93106, United States of America Fermi National Accelerator Laboratory, Batavia, IL 60510, United States of America Monteiro, C.M.B. ROR:https://ror.org/04z8k9a98 Coimbra U. LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal Monzani, M.E. ORCID:0000-0002-8254-5308 ROR:https://ror.org/05gzmn429 ROR:https://ror.org/03m2x1q45 SLAC KIPAC, Menlo Park Arizona U. SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States of America Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, CA 94305, United States of America Vatican Observatory, Castel Gandolfo, V-00120, Vatican City State Moore, J.S. ROR:https://ror.org/02dqehb95 Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America Morå, K. ORCID:0000-0002-2011-1889 ROR:https://ror.org/00hj8s172 Columbia U. Physics Department, Columbia University, New York, NY 10027, United States of America Morad, J.A. ROR:https://ror.org/041nk4h53 ROR:https://ror.org/05rrcem69 LLNL, Livermore UC, Davis University of California Davis, Department of Physics, One Shields Ave., Davis, CA 95616, United States of America Morales Mendoza, J.D. ROR:https://ror.org/05gzmn429 SLAC KIPAC, Menlo Park SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States of America Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, CA 94305, United States of America Moriyama, S. ROR:https://ror.org/04djymq25 ROR:https://ror.org/02chw6z69 Kamioka Observ. Tokyo U., IPMU Kamioka Observatory, Institute for Cosmic Ray Research, The University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu, 506-1205, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo, Kashiwa, Chiba, 277-8582, Japan Morrison, E. ROR:https://ror.org/00ch7yk27 South Dakota Sch. Mines Tech. South Dakota School of Mines and Technology, Rapid City, SD 57701, United States of America Morteau, E. ROR:https://ror.org/01kxesq83 SUBATECH, Nantes SUBATECH, IMT Atlantique, Université de Nantes, CNRS/IN2P3, Nantes 44307, France Mosbacher, Y. ROR:https://ror.org/0316ej306 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel Mount, B.J. Cal State, Dominguez Hills Black Hills State University, School of Natural Sciences, Spearfish, SD 57799, United States of America Mueller, J. ROR:https://ror.org/0245cg223 Freiburg U. Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany Murphy, A.St. J. ROR:https://ror.org/01nrxwf90 Edinburgh U. SUPA, School of Physics and Astronomy, University of Edinburgh, Edinburgh, EH9 3FD, United Kingdom Murra, M. ROR:https://ror.org/00hj8s172 Columbia U. Physics Department, Columbia University, New York, NY 10027, United States of America Naim, D. ROR:https://ror.org/041nk4h53 ROR:https://ror.org/05rrcem69 LLNL, Livermore UC, Davis University of California Davis, Department of Physics, One Shields Ave., Davis, CA 95616, United States of America Nakamura, S. ROR:https://ror.org/02j6c0d67 Kanagawa U. Department of Physics, Faculty of Engineering, Yokohama National University, Yokohama, Kanagawa 240-8501, Japan Nash, E. ROR:https://ror.org/041nk4h53 ROR:https://ror.org/05rrcem69 LLNL, Livermore UC, Davis University of California Davis, Department of Physics, One Shields Ave., Davis, CA 95616, United States of America Navaieelavasani, N. ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Institut für Physik & Exzellenzcluster PRISMA, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany Naylor, A. ROR:https://ror.org/05krs5044 Sheffield U. University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom Nedlik, C. ROR:https://ror.org/0072zz521 Massachusetts U., Amherst Department of Physics, University of Massachusetts, Amherst, MA 01003, United States of America Nelson, H.N. Unlisted Department of Physics, University of California, Santa Barbara, Santa Barbara, CA 93106, United States of America Neves, F. ROR:https://ror.org/01hys1667 LIP, Coimbra LIP-Coimbra, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal Newstead, J.L. ORCID:0000-0002-8704-3550 ROR:https://ror.org/02dqehb95 ROR:https://ror.org/01ej9dk98 Purdue U. Melbourne U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America ARC Centre of Excellence for Dark Matter Particle Physics, School of Physics, The University of Melbourne, VIC 3010, Australia Ni, K. ORCID:0000-0003-2566-0091 ROR:https://ror.org/0168r3w48 UC, San Diego Department of Physics, University of California San Diego, La Jolla, CA 92093, United States of America Nikoleyczik, J.A. ROR:https://ror.org/01y2jtd41 Wisconsin U., Madison Department of Physics, University of Wisconsin–Madison, Madison, WI 53706, United States of America Niro, V. ROR:https://ror.org/03tnjrr49 ROR:https://ror.org/038t36y30 APC, Paris U. Heidelberg, ITP Université de Paris, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Institute for Theoretical Physics, University of Heidelberg, Philosophenweg 16, D-69120 Heidelberg, Germany Oberlack, U.G. ORCID:0000-0001-8160-5498 ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Institut für Physik & Exzellenzcluster PRISMA, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany Obradovic, M. ROR:https://ror.org/02qsmb048 VINCA Inst. Nucl. Sci., Belgrade Vinca Institute of Nuclear Science, University of Belgrade, Mihajla Petrovica Alasa 12–14, Belgrade, Serbia Odgers, K. ROR:https://ror.org/01rtyzb94 Rensselaer Polytech. Inst. Department of Physics, Applied Physics and Astronomy, Rensselaer Polytechnic Institute, Troy, NY 12180, United States of America O'Hare, C.A.J. ORCID:0000-0003-3803-9384 ROR:https://ror.org/0384j8v12 Sydney U. School of Physics, The University of Sydney, NSW 2006 Camperdown, Sydney, Australia Oikonomou, P. ROR:https://ror.org/00e5k0821 New York U., Abu Dhabi Division of Science, New York University Abu Dhabi, Saadiyat Island, Abu Dhabi, United Arab Emirates Olcina, I. ROR:https://ror.org/01an7q238 ROR:https://ror.org/02jbv0t02 UC, Berkeley LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States of America Department of Physics, University of California Berkeley, Berkeley, CA 94720, United States of America Oliver-Mallory, K. ROR:https://ror.org/041kmwe10 Imperial Coll., London Department of Physics, Blackett Laboratory, Imperial College London, London SW7 2BW, United Kingdom Oranday, A. ROR:https://ror.org/008zs3103 Rice U. Department of Physics and Astronomy, Rice University, Houston, TX 77005, United States of America Orpwood, J. ROR:https://ror.org/05krs5044 Sheffield U. University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom Ostrovskiy, I. ROR:https://ror.org/03xrrjk67 Alabama U. University of Alabama, Department of Physics & Astronomy, Tuscaloosa, AL 34587, United States of America Ozaki, K. ROR:https://ror.org/04chrp450 KMI, Nagoya Kobayashi–Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space–Earth Environmental Research, Nagoya University, Aichi 464-8602, Japan Paetsch, B. ROR:https://ror.org/0316ej306 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel Pal, S. ROR:https://ror.org/01hys1667 LIP, Coimbra LIP-Coimbra, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal Palacio, J. ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany Palladino, K.J. ROR:https://ror.org/052gg0110 ROR:https://ror.org/01y2jtd41 Oxford U. Wisconsin U., Madison Department of Physics, University of Oxford, Keble Rd, Oxford OX1 3RH, United Kingdom Department of Physics, University of Wisconsin–Madison, Madison, WI 53706, United States of America Palmer, J. ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Royal Holloway, University of London, Department of Physics, Egham, TW20 0EX, United Kingdom Panci, P. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN, Sezione di Pisa, Largo Bruno Pontecorvo 3, I-56127 Pisa, Italy Dipartimento di Fisica E Fermi, Università di Pisa, Largo B Pontecorvo 3, I-56127 Pisa, Italy Pandurovic, M. ROR:https://ror.org/02qsmb048 VINCA Inst. Nucl. Sci., Belgrade Vinca Institute of Nuclear Science, University of Belgrade, Mihajla Petrovica Alasa 12–14, Belgrade, Serbia Parlati, A. Naples U. Department of Physics ‘Ettore Pancini’, University of Napoli and INFN-Napoli, 80126 Napoli, Italy Parveen, N. ROR:https://ror.org/012zs8222 SUNY, Albany Department of Physics, The University at Albany, The State University of New York, Albany, NY 12222, United States of America Patton, S.J. ROR:https://ror.org/02jbv0t02 LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States of America Pěč, V. ORCID:0000-0003-4104-829X ROR:https://ror.org/02yhj4v17 Prague, Inst. Phys. Institute of Physics, Czech Academy of Sciences, 182 00 Prague, Czech Republic Pellegrini, Q. Paris U., VI-VII LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France Penning, B. ROR:https://ror.org/00jmfr291 Michigan U. University of Michigan, Randall Laboratory of Physics, Ann Arbor, MI 48109, United States of America Pereira, G. ROR:https://ror.org/01hys1667 LIP, Coimbra LIP-Coimbra, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal Peres, R. ORCID:0000-0001-5243-2268 ROR:https://ror.org/02crff812 Zurich U. Physik-Institut, University of Zurich, 8057 Zurich, Switzerland Perez-Gonzalez, Y. ORCID:0000-0002-2020-7223 ROR:https://ror.org/01v29qb04 Durham U., IPPP Institute for Particle Physics Phenomenology, Durham University, South Road, Durham, United Kingdom Perry, E. ROR:https://ror.org/02jx3x895 University Coll. London Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom Pershing, T. ROR:https://ror.org/041nk4h53 LLNL, Livermore Lawrence Livermore National Laboratory, Livermore, CA 94550, United States of America Petrossian-Byrne, R. ROR:https://ror.org/009gyvm78 ICTP, Trieste International Centre for Theoretical Physics, Strada Costiera 11, 34151, Trieste, Italy Pienaar, J. ROR:https://ror.org/024mw5h28 Chicago U., KICP Department of Physics & Kavli Institute for Cosmological Physics, The University of Chicago, Chicago, IL 60637, United States of America Piepke, A. ROR:https://ror.org/03xrrjk67 Alabama U. University of Alabama, Department of Physics & Astronomy, Tuscaloosa, AL 34587, United States of America Pieramico, G. ROR:https://ror.org/01j9p1r26 L'Aquila U. Department of Physics and Chemistry, University of L’Aquila, 67100 L’Aquila, Italy Pierre, M. ORCID:0000-0002-9714-4929 ROR:https://ror.org/01kxesq83 SUBATECH, Nantes SUBATECH, IMT Atlantique, Université de Nantes, CNRS/IN2P3, Nantes 44307, France Piotter, M. ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany Pizzella, V. ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany Plante, G. ROR:https://ror.org/00hj8s172 Columbia U. Physics Department, Columbia University, New York, NY 10027, United States of America Pollmann, T. ROR:https://ror.org/00f9tz983 ROR:https://ror.org/04jsz6e67 NIKHEF, Amsterdam NWO, The Hague Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, The Netherlands Porzio, D. ROR:https://ror.org/01hys1667 LIP, Coimbra LIP-Coimbra, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal Qi, J. ROR:https://ror.org/0168r3w48 UC, San Diego Department of Physics, University of California San Diego, La Jolla, CA 92093, United States of America Qie, Y. ROR:https://ror.org/022kthw22 Rochester U. Department of Physics and Astronomy, The University of Rochester, Rochester, NY 14627, United States of America Qin, J. ORCID:0000-0001-8228-8949 ROR:https://ror.org/02dqehb95 Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America Quevedo, F. ROR:https://ror.org/013meh722 Cambridge U., DAMTP DAMTP, University of Cambridge, Wilberforce Road, Cambridge, CB3 0WA, United Kingdom Raj, N. ORCID:0000-0002-4378-1201 ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, BC V7A 4N4, Canada Silva, M. Rajado ORCID:0000-0002-7663-2915 ROR:https://ror.org/0245cg223 Freiburg U. Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany Ramanathan, K. ROR:https://ror.org/05dxps055 Caltech Division of Physics, Mathematics, & Astronomy, California Institute of Technology, Pasadena, CA 91125, United States of America García, D. Ramírez ORCID:0000-0002-5896-2697 ROR:https://ror.org/0245cg223 Freiburg U. Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany Ravanis, J. ROR:https://ror.org/040wg7k59 Chalmers U. Tech. Chalmers University of Technology, Department of Physics, SE-412 96 Göteborg, Sweden Redard-Jacot, L. ORCID:0009-0001-4730-2669 ROR:https://ror.org/02crff812 Zurich U. Physik-Institut, University of Zurich, 8057 Zurich, Switzerland Redigolo, D. ROR:https://ror.org/01ggx4157 ROR:https://ror.org/02vv5y108 CERN INFN, Florence Theoretical Physics Department, CERN, 1211 Geneva 23, Switzerland INFN, Sezione di Firenze Via G Sansone 1, 50019 Sesto Fiorentino, Italy Reichard, S. ROR:https://ror.org/04t3en479 ROR:https://ror.org/02crff812 KIT, Karlsruhe Zurich U. Physik-Institut, University of Zurich, 8057 Zurich, Switzerland Institute for Astroparticle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Reichenbacher, J. ROR:https://ror.org/00ch7yk27 South Dakota Sch. Mines Tech. South Dakota School of Mines and Technology, Rapid City, SD 57701, United States of America Rhyne, C.A. ROR:https://ror.org/05gq02987 Brown U. Department of Physics, Brown University, 182 Hope Street, Providence, RI 02912, United States of America Richards, A. ROR:https://ror.org/041kmwe10 Imperial Coll., London Department of Physics, Blackett Laboratory, Imperial College London, London SW7 2BW, United Kingdom Riffard, Q. ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBL, Berkeley UC, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States of America Department of Physics, University of California Berkeley, Berkeley, CA 94720, United States of America Rischbieter, G.R.C. ROR:https://ror.org/012zs8222 SUNY, Albany Department of Physics, The University at Albany, The State University of New York, Albany, NY 12222, United States of America Rocchetti, A. ROR:https://ror.org/0245cg223 Freiburg U. Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany Rosenfeld, S.L. ROR:https://ror.org/02dqehb95 Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America Rosero, R. ROR:https://ror.org/02ex6cf31 Brookhaven Brookhaven National Laboratory (BNL), Upton, NY 11973, United States of America Rupp, N. ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany Rushton, T. ROR:https://ror.org/05krs5044 Sheffield U. University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom Saha, S. ROR:https://ror.org/0491yz035 Saha Inst. Saha Institute of Nuclear Physics, HBNI, 1/AF Bidhannagar, Kolkata 700064, India Salucci, P. ROR:https://ror.org/004fze387 SISSA, Trieste SISSA, Astrophysics and Cosmology Group, Via Bonomea 265, 34136 Trieste, Italy Sanchez, L. ROR:https://ror.org/008zs3103 Rice U. Department of Physics and Astronomy, Rice University, Houston, TX 77005, United States of America Sanchez-Lucas, P. ROR:https://ror.org/02crff812 Zurich U. Physik-Institut, University of Zurich, 8057 Zurich, Switzerland Santone, D. ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Royal Holloway, University of London, Department of Physics, Egham, TW20 0EX, United Kingdom Santos, J.M.F. dos ROR:https://ror.org/04z8k9a98 Coimbra U. LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal Sarnoff, I. ROR:https://ror.org/00e5k0821 New York U., Abu Dhabi Division of Science, New York University Abu Dhabi, Saadiyat Island, Abu Dhabi, United Arab Emirates Sartorelli, G. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 U. Bologna, DIFA INFN, Bologna Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy Sazzad, A.B.M.R. ROR:https://ror.org/03xrrjk67 Alabama U. University of Alabama, Department of Physics & Astronomy, Tuscaloosa, AL 34587, United States of America Scheibelhut, M. ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Institut für Physik & Exzellenzcluster PRISMA, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany Schnee, R.W. ROR:https://ror.org/00ch7yk27 South Dakota Sch. Mines Tech. South Dakota School of Mines and Technology, Rapid City, SD 57701, United States of America Schrank, M. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institute for Astroparticle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Schreiner, J. ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany Schulte, P. ROR:https://ror.org/00pd74e08 Munster U. Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany Schulte, D. ROR:https://ror.org/00pd74e08 Munster U. Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany Eissing, H. Schulze ROR:https://ror.org/00pd74e08 Munster U. Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany Schumann, M. ORCID:0000-0002-5036-1256 ROR:https://ror.org/0245cg223 Freiburg U. Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany Schwemberger, T. ORCID:0000-0002-8471-6879 ROR:https://ror.org/0293rh119 Oregon U. Physik-Institut, University of Zurich, 8057 Zurich, Switzerland Department of Physics and Institute for Fundamental Science, University of Oregon, Eugene, OR 97403, United States of America Schwenk, A. ROR:https://ror.org/05n911h24 ROR:https://ror.org/052d0h423 Darmstadt, Tech. U. Darmstadt, EMMI Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany Department of Physics, Technische Universität Darmstadt, 64289 Darmstadt, Germany ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, 64291 Darmstadt, Germany Schwetz, T. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institute for Astroparticle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Scotto Lavina, L. Paris U., VI-VII LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France Scovell, P.R. ROR:https://ror.org/03gq8fr08 Rutherford STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom Sekiya, H. ROR:https://ror.org/04djymq25 ROR:https://ror.org/02chw6z69 Kamioka Observ. Tokyo U., IPMU Kamioka Observatory, Institute for Cosmic Ray Research, The University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu, 506-1205, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo, Kashiwa, Chiba, 277-8582, Japan Selvi, M. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 U. Bologna, DIFA INFN, Bologna Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy Semenov, E. ROR:https://ror.org/01kxesq83 SUBATECH, Nantes SUBATECH, IMT Atlantique, Université de Nantes, CNRS/IN2P3, Nantes 44307, France Semeria, F. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 U. Bologna, DIFA INFN, Bologna Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy Shagin, P. ROR:https://ror.org/008zs3103 Rice U. Department of Physics and Astronomy, Rice University, Houston, TX 77005, United States of America Shaw, S. Unlisted Department of Physics, University of California, Santa Barbara, Santa Barbara, CA 93106, United States of America Shi, S. ROR:https://ror.org/00hj8s172 Columbia U. Physics Department, Columbia University, New York, NY 10027, United States of America Shockley, E. ROR:https://ror.org/0168r3w48 UC, San Diego Department of Physics, University of California San Diego, La Jolla, CA 92093, United States of America Shutt, T.A. ROR:https://ror.org/05gzmn429 SLAC KIPAC, Menlo Park SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States of America Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, CA 94305, United States of America Si-Ahmed, R. Paris U., VI-VII LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France Silk, J.J. ROR:https://ror.org/047s2c258 Maryland U. Department of Physics, University of Maryland, College Park, MD 20742, United States of America Silva, C. ROR:https://ror.org/01hys1667 LIP, Coimbra LIP-Coimbra, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal Silva, M.C. ROR:https://ror.org/04z8k9a98 Coimbra U. LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal Simgen, H. ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany Šimkovic, F. ROR:https://ror.org/044yd9t77 ROR:https://ror.org/0587ef340 ROR:https://ror.org/03kqpb082 Dubna, JINR Comenius U. IEAP CTU, Prague Bogoliubov Laboratory of Theoretical Physics, Joint Institute for Nuclear Research, 141980 Dubna, Russia Department of Nuclear Physics and Biophysics, Comenius University, Mlynská dolina F1, SK-842 15 Bratislava, Slovakia Institute of Experimental and Applied Physics, Czech Technical University, 128 00 Prague, Czech Republic Sinev, G. ROR:https://ror.org/00ch7yk27 South Dakota Sch. Mines Tech. South Dakota School of Mines and Technology, Rapid City, SD 57701, United States of America Singh, R. ROR:https://ror.org/02dqehb95 Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America Skulski, W. ROR:https://ror.org/022kthw22 ROR:https://ror.org/0190ak572 Rochester U. New York U. Department of Physics and Astronomy, The University of Rochester, Rochester, NY 14627, United States of America SkuTek Instrumentation, West Henrietta, NY 14586, United States of America Smirnov, J. ORCID:0000-0002-3082-0929 ROR:https://ror.org/05f0yaq80 Stockholm U., OKC Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden Smith, R. ROR:https://ror.org/01an7q238 ROR:https://ror.org/02jbv0t02 UC, Berkeley LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States of America Department of Physics, University of California Berkeley, Berkeley, CA 94720, United States of America Solmaz, M. ORCID:0000-0002-9716-4743 ROR:https://ror.org/04t3en479 Unlisted KIT, Karlsruhe, EKP Department of Physics, University of California, Santa Barbara, Santa Barbara, CA 93106, United States of America Institute of Experimental Particle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Solovov, V.N. ROR:https://ror.org/01hys1667 LIP, Coimbra LIP-Coimbra, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal Sorensen, P. ROR:https://ror.org/02jbv0t02 LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States of America Soria, J. ROR:https://ror.org/01an7q238 ROR:https://ror.org/02jbv0t02 UC, Berkeley LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States of America Department of Physics, University of California Berkeley, Berkeley, CA 94720, United States of America Sparmann, T.J. ROR:https://ror.org/02dqehb95 Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America Stancu, I. ROR:https://ror.org/03xrrjk67 Alabama U. University of Alabama, Department of Physics & Astronomy, Tuscaloosa, AL 34587, United States of America Steidl, M. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institute for Astroparticle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Stevens, A. ROR:https://ror.org/02jx3x895 ROR:https://ror.org/041kmwe10 University Coll. London Imperial Coll., London Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom Department of Physics, Blackett Laboratory, Imperial College London, London SW7 2BW, United Kingdom Stifter, K. ROR:https://ror.org/05gzmn429 SLAC KIPAC, Menlo Park SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States of America Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, CA 94305, United States of America Strigari, L.E. ORCID:0000-0001-5672-6079 ROR:https://ror.org/01f5ytq51 Texas A-M Mitchell Institute for Fundamental Physics and Astronomy, Texas A&M University, College Station, TX 77843, United States of America Subotic, D. ROR:https://ror.org/02qsmb048 VINCA Inst. Nucl. Sci., Belgrade Vinca Institute of Nuclear Science, University of Belgrade, Mihajla Petrovica Alasa 12–14, Belgrade, Serbia Suerfu, B. ROR:https://ror.org/01an7q238 ROR:https://ror.org/02jbv0t02 UC, Berkeley LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States of America Department of Physics, University of California Berkeley, Berkeley, CA 94720, United States of America Suliga, A.M. ORCID:0000-0002-8354-012X ROR:https://ror.org/01an7q238 ROR:https://ror.org/01y2jtd41 UC, Berkeley Wisconsin U., Madison Department of Physics, University of Wisconsin–Madison, Madison, WI 53706, United States of America Department of Physics, University of California Berkeley, Berkeley, CA 94720, United States of America Sumner, T.J. ROR:https://ror.org/041kmwe10 Imperial Coll., London Department of Physics, Blackett Laboratory, Imperial College London, London SW7 2BW, United Kingdom Szabo, P. ROR:https://ror.org/0316ej306 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel Szydagis, M. ROR:https://ror.org/012zs8222 SUNY, Albany Department of Physics, The University at Albany, The State University of New York, Albany, NY 12222, United States of America Takeda, A. ROR:https://ror.org/04djymq25 ROR:https://ror.org/02chw6z69 Kamioka Observ. Tokyo U., IPMU Kamioka Observatory, Institute for Cosmic Ray Research, The University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu, 506-1205, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo, Kashiwa, Chiba, 277-8582, Japan Takeuchi, Y. ROR:https://ror.org/03tgsfw79 Kobe U. Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan Tan, P.-L. ORCID:0000-0002-5743-2520 ROR:https://ror.org/05f0yaq80 Stockholm U., OKC Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden Taricco, C. ROR:https://ror.org/01vj6ck58 INFN, Turin OATo, Turin INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy Taylor, W.C. ROR:https://ror.org/05gq02987 Brown U. Department of Physics, Brown University, 182 Hope Street, Providence, RI 02912, United States of America Temples, D.J. ORCID:0000-0001-6017-254X ROR:https://ror.org/020hgte69 ROR:https://ror.org/000e0be47 Fermilab Northwestern U. Fermi National Accelerator Laboratory, Batavia, IL 60510, United States of America Department of Physics & Astronomy, Northwestern University, Evanston, IL 60208, United States of America Terliuk, A. ROR:https://ror.org/038t36y30 Heidelberg U. Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Terman, P.A. ROR:https://ror.org/01f5ytq51 Texas A-M Mitchell Institute for Fundamental Physics and Astronomy, Texas A&M University, College Station, TX 77843, United States of America Thers, D. ROR:https://ror.org/01kxesq83 SUBATECH, Nantes SUBATECH, IMT Atlantique, Université de Nantes, CNRS/IN2P3, Nantes 44307, France Thieme, K. ORCID:0000-0003-3954-7612 ROR:https://ror.org/02crff812 Zurich U. Physik-Institut, University of Zurich, 8057 Zurich, Switzerland Thümmler, Th. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institute for Astroparticle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Tiedt, D.R. ROR:https://ror.org/0043h8f16 South Dakota U. South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, SD 57754, United States of America Timalsina, M. ORCID:0000-0001-6207-3406 ROR:https://ror.org/00ch7yk27 South Dakota Sch. Mines Tech. South Dakota School of Mines and Technology, Rapid City, SD 57701, United States of America To, W.H. ROR:https://ror.org/05gzmn429 SLAC KIPAC, Menlo Park SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States of America Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, CA 94305, United States of America Toennies, F. ROR:https://ror.org/0245cg223 Freiburg U. Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany Tong, Z. ROR:https://ror.org/041kmwe10 Imperial Coll., London Department of Physics, Blackett Laboratory, Imperial College London, London SW7 2BW, United Kingdom Toschi, F. ROR:https://ror.org/0245cg223 Freiburg U. Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany Tovey, D.R. ROR:https://ror.org/05krs5044 Sheffield U. University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom Tranter, J. ROR:https://ror.org/05krs5044 Sheffield U. University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom Trask, M. Unlisted Department of Physics, University of California, Santa Barbara, Santa Barbara, CA 93106, United States of America Trinchero, G.C. ROR:https://ror.org/01vj6ck58 INFN, Turin OATo, Turin INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy Tripathi, M. ROR:https://ror.org/041nk4h53 ROR:https://ror.org/05rrcem69 LLNL, Livermore UC, Davis University of California Davis, Department of Physics, One Shields Ave., Davis, CA 95616, United States of America Tronstad, D.R. ROR:https://ror.org/00ch7yk27 South Dakota Sch. Mines Tech. South Dakota School of Mines and Technology, Rapid City, SD 57701, United States of America Trotta, R. ROR:https://ror.org/041kmwe10 Imperial Coll., London Department of Physics, Blackett Laboratory, Imperial College London, London SW7 2BW, United Kingdom SISSA, Theoretical and Scientific Data Science Group, Via Bonomea 265, 34136 Trieste, Italy Tsai, Y.D. ROR:https://ror.org/04gyf1771 UC, Irvine Department of Physics and Astronomy, University of California, Irvine, CA 92697, United States of America Tunnell, C.D. ROR:https://ror.org/008zs3103 Rice U. Department of Physics and Astronomy, Rice University, Houston, TX 77005, United States of America Turner, W.G. ROR:https://ror.org/04xs57h96 Liverpool U. Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom Ueno, R. ROR:https://ror.org/03tgsfw79 Kobe U. Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan Urquijo, P. ROR:https://ror.org/01ej9dk98 Melbourne U. ARC Centre of Excellence for Dark Matter Particle Physics, School of Physics, The University of Melbourne, VIC 3010, Australia Utku, U. ROR:https://ror.org/02jx3x895 University Coll. London Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom Vaitkus, A. ROR:https://ror.org/05gq02987 Brown U. Department of Physics, Brown University, 182 Hope Street, Providence, RI 02912, United States of America Valerius, K. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institute for Astroparticle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Vassilev, E. ROR:https://ror.org/008zs3103 Rice U. Department of Physics and Astronomy, Rice University, Houston, TX 77005, United States of America Vecchi, S. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 U. Bologna, DIFA INFN, Bologna Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy Velan, V. ROR:https://ror.org/01an7q238 UC, Berkeley Department of Physics, University of California Berkeley, Berkeley, CA 94720, United States of America Vetter, S. ROR:https://ror.org/04t3en479 KIT, Karlsruhe, EKP Institute of Experimental Particle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Vincent, A.C. ROR:https://ror.org/02y72wh86 Queen's U., Kingston Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston ON K7L 3N6, Canada Vittorio, L. ROR:https://ror.org/03aydme10 ROR:https://ror.org/05symbg58 Pisa, Scuola Normale Superiore INFN, Pisa Scuola Normale Superiore, Piazza dei Cavalieri 7, 56126 Pisa, Italy INFN, Sezione di Pisa, Largo Bruno Pontecorvo 3, I-56127 Pisa, Italy Volta, G. ORCID:0000-0001-7351-1459 ROR:https://ror.org/02crff812 Zurich U. Physik-Institut, University of Zurich, 8057 Zurich, Switzerland von Krosigk, B. ORCID:0000-0001-5223-3023 ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institute for Astroparticle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany von Piechowski, M. ROR:https://ror.org/00pd74e08 Munster U. Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany Vorkapic, D. ROR:https://ror.org/02qsmb048 VINCA Inst. Nucl. Sci., Belgrade Vinca Institute of Nuclear Science, University of Belgrade, Mihajla Petrovica Alasa 12–14, Belgrade, Serbia Wagner, C.E.M. ROR:https://ror.org/024mw5h28 Chicago U., KICP Department of Physics & Kavli Institute for Cosmological Physics, The University of Chicago, Chicago, IL 60637, United States of America High Energy Physics Theory Group, Argonne National Laboratory Argonne, IL 60439, United States of America Wang, A.M. ROR:https://ror.org/05gzmn429 SLAC KIPAC, Menlo Park SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States of America Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, CA 94305, United States of America Wang, B. ORCID:0000-0002-9157-360X ROR:https://ror.org/03xrrjk67 Alabama U. University of Alabama, Department of Physics & Astronomy, Tuscaloosa, AL 34587, United States of America Wang, Y. ORCID:0000-0002-1887-2451 ROR:https://ror.org/01an7q238 ROR:https://ror.org/02jbv0t02 UC, Berkeley LBL, Berkeley Department of Physics, University of California Berkeley, Berkeley, CA, USA Lawrence Berkeley National Laboratory, Berkeley, CA, USA Wang, W. ROR:https://ror.org/01y2jtd41 ROR:https://ror.org/0072zz521 Wisconsin U., Madison Massachusetts U., Amherst Department of Physics, University of Wisconsin–Madison, Madison, WI 53706, United States of America Department of Physics, University of Massachusetts, Amherst, MA 01003, United States of America Wang, J.J. ROR:https://ror.org/00jmfr291 ROR:https://ror.org/03xrrjk67 Michigan U. Alabama U. University of Michigan, Randall Laboratory of Physics, Ann Arbor, MI 48109, United States of America University of Alabama, Department of Physics & Astronomy, Tuscaloosa, AL 34587, United States of America Wang, L.-T. ROR:https://ror.org/024mw5h28 Chicago U., KICP Department of Physics & Kavli Institute for Cosmological Physics, The University of Chicago, Chicago, IL 60637, United States of America Wang, M. ROR:https://ror.org/05gzmn429 SLAC KIPAC, Menlo Park School of Physics, Shandong University, Jinan, 250100, People’s Republic of China Watson, J.R. ROR:https://ror.org/01an7q238 ROR:https://ror.org/02jbv0t02 UC, Berkeley LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States of America Department of Physics, University of California Berkeley, Berkeley, CA 94720, United States of America Wei, Y. ROR:https://ror.org/0168r3w48 UC, San Diego Department of Physics, University of California San Diego, La Jolla, CA 92093, United States of America Weinheimer, C. ROR:https://ror.org/00pd74e08 Munster U. Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany Weisman, E. ROR:https://ror.org/02dqehb95 Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, United States of America Weiss, M. ROR:https://ror.org/0316ej306 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel Wenz, D. ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Institut für Physik & Exzellenzcluster PRISMA, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany West, S.M. ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Royal Holloway, University of London, Department of Physics, Egham, TW20 0EX, United Kingdom Whitis, T.J. ROR:https://ror.org/05gzmn429 Unlisted SLAC SLAC National Accelerator Laboratory, Menlo Park, CA 94025, United States of America Department of Physics, University of California, Santa Barbara, Santa Barbara, CA 93106, United States of America Williams, M. ROR:https://ror.org/00jmfr291 Michigan U. University of Michigan, Randall Laboratory of Physics, Ann Arbor, MI 48109, United States of America Wilson, M.J. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institute for Astroparticle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Winkler, D. ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany Wittweg, C. ORCID:0000-0001-8494-740X ROR:https://ror.org/02crff812 Zurich U. Physik-Institut, University of Zurich, 8057 Zurich, Switzerland Wolf, J. ROR:https://ror.org/04t3en479 KIT, Karlsruhe, EKP Institute of Experimental Particle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Wolf, T. ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany Wolfs, F.L.H. ROR:https://ror.org/022kthw22 Rochester U. Department of Physics and Astronomy, The University of Rochester, Rochester, NY 14627, United States of America Woodford, S. ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom Woodward, D. ORCID:0000-0003-4184-7091 ROR:https://ror.org/04p491231 Penn State U. Department of Physics, Pennsylvania State University, 104 Davey Lab, University Park, PA 16802, United States of America Wright, C.J. ORCID:0000-0001-7541-7079 ROR:https://ror.org/0524sp257 Bristol U. University of Bristol, H H Wills Physics Laboratory, Bristol, BS8 1TL, United Kingdom Wu, V.H.S. ORCID:0000-0002-8111-1532 ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institute for Astroparticle Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany Wu, P. ORCID:0000-0002-1833-7555 ROR:https://ror.org/04ct4d772 Southeast U., Nanjing School of Physics, Southeast University, Nanjing 211189, People’s Republic of China Wüstling, S. ROR:https://ror.org/04t3en479 KIT, Karlsruhe, IPE Institute for Data Processing and Electronics, Karlsruhe Institute of Technology, Karlsruhe, Germany Wurm, M. ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Institut für Physik & Exzellenzcluster PRISMA, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany Xia, Q. ORCID:0000-0003-2661-0002 ROR:https://ror.org/02jbv0t02 LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States of America Xiang, X. ORCID:0000-0001-5459-632X ROR:https://ror.org/05gq02987 Brown U. Department of Physics, Brown University, 182 Hope Street, Providence, RI 02912, United States of America Xing, Y. ROR:https://ror.org/01kxesq83 SUBATECH, Nantes SUBATECH, IMT Atlantique, Université de Nantes, CNRS/IN2P3, Nantes 44307, France Xu, J. ROR:https://ror.org/041nk4h53 LLNL, Livermore Lawrence Livermore National Laboratory, Livermore, CA 94550, United States of America Xu, Z. ROR:https://ror.org/00hj8s172 Columbia U. Physics Department, Columbia University, New York, NY 10027, United States of America Xu, D. ROR:https://ror.org/03cve4549 Tsinghua U., Beijing Department of Physics & Center for High Energy Physics, Tsinghua University, Beijing 100084, People’s Republic of China Yamashita, M. ROR:https://ror.org/02chw6z69 Tokyo U., IPMU Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo, Kashiwa, Chiba, 277-8582, Japan Yamazaki, R. ROR:https://ror.org/04chrp450 KMI, Nagoya Kobayashi–Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space–Earth Environmental Research, Nagoya University, Aichi 464-8602, Japan Yan, H. Tokyo U., CNS Center for Nuclear Study, The University of Tokyo, 113-0033 Tokyo, Japan Yang, L. ROR:https://ror.org/0168r3w48 UC, San Diego Department of Physics, University of California San Diego, La Jolla, CA 92093, United States of America Yang, Y. ROR:https://ror.org/0220qvk04 Shanghai Jiaotong U. School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, 200240, People’s Republic of China Ye, J. ROR:https://ror.org/0168r3w48 UC, San Diego Department of Physics, University of California San Diego, La Jolla, CA 92093, United States of America Yeh, M. ROR:https://ror.org/02ex6cf31 Brookhaven Brookhaven National Laboratory (BNL), Upton, NY 11973, United States of America Young, I. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, IL 60510, United States of America Yu, H.B. ORCID:0000-0002-8421-8597 ROR:https://ror.org/03nawhv43 UC, Riverside Department of Physics and Astronomy, University of California, Riverside, CA 92521, United States of America Yu, T.T. ORCID:0000-0003-4708-809X ROR:https://ror.org/0293rh119 Oregon U. Department of Physics and Institute for Fundamental Science, University of Oregon, Eugene, OR 97403, United States of America Yuan, L. ORCID:0000-0003-0024-8017 ROR:https://ror.org/024mw5h28 Chicago U., KICP Department of Physics & Kavli Institute for Cosmological Physics, The University of Chicago, Chicago, IL 60637, United States of America Zavattini, G. ROR:https://ror.org/041zkgm14 ROR:https://ror.org/00zs3y046 Ferrara U. INFN, Ferrara Department of Physics and Earth Sciences, University of Ferrara and INFN-Ferrara, 44122, Italy Zerbo, S. ROR:https://ror.org/00hj8s172 Columbia U. Physics Department, Columbia University, New York, NY 10027, United States of America Zhang, Y. ROR:https://ror.org/00hj8s172 Columbia U. Physics Department, Columbia University, New York, NY 10027, United States of America Zhong, M. ROR:https://ror.org/0168r3w48 UC, San Diego Department of Physics, University of California San Diego, La Jolla, CA 92093, United States of America Zhou, N. ROR:https://ror.org/0220qvk04 Shanghai Jiaotong U. School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, 200240, People’s Republic of China Zhou, X. ROR:https://ror.org/00wk2mp56 Beihang U. School of Physics, Beihang University, Beijing, 100083, People’s Republic of China Zhu, T. ROR:https://ror.org/00hj8s172 Columbia U. Physics Department, Columbia University, New York, NY 10027, United States of America Zhu, Y. ROR:https://ror.org/01kxesq83 SUBATECH, Nantes SUBATECH, IMT Atlantique, Université de Nantes, CNRS/IN2P3, Nantes 44307, France Zhuang, Y. ROR:https://ror.org/01f5ytq51 Texas A-M Mitchell Institute for Fundamental Physics and Astronomy, Texas A&M University, College Station, TX 77843, United States of America Zopounidis, J.P. Paris U., VI-VII LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France Zuber, K. ROR:https://ror.org/042aqky30 Dresden, Tech. U. Technische Universität Dresden, 01069 Dresden, Germany Zupan, J. ROR:https://ror.org/01e3m7079 Cincinnati U. Department of Physics, University of Cincinnati, Cincinnati, OH 45221, United States of America 013001 1 J. Phys. G 50 2023 https://lss.fnal.gov/archive/2022/pub/fermilab-pub-22-112-ppd-qis-t.pdf Fermilab Library Server 2353499 248737 http://cds.cern.ch/record/2803259/files/fig_wimperhistos_v6.png 00037 Histograms for a flat electronic recoil spectrum and a nuclear recoil spectrum as from a 50~GeV spin-independent WIMP, simulated for different electric fields (using NEST~2.3.5). The top band for each plot is the electronic recoil band, the bottom is the nuclear recoil band. Red lines refer to the median for either band, and the white dotted lines delimit the one-sigma region. Already-demonstrated discrimination is expected to be sufficient for a next-generation detector. 2353500 99969 http://cds.cern.ch/record/2803259/files/fig_0vbb_acceptance.png 00023 Efficiency of $0\nu\beta\beta$ signal acceptance and background rejection as a function of the minimum distance for individual reconstruction of energy depositions. The three signal lines (blue) compare different energy and angular distributions for the $0\nu\beta\beta$ signal based on a back-to-back electron emission, a mass mixing (MM) mechanism and a right-handed current (RHC) model. The background rejection efficiency is shown for $\gamma$s (red) and electrons (green) with $E=Q_{\beta\beta}=2457.8\1{keV}$. The vertical line (gray) corresponds to the value assumed here. Bands indicate $\pm~2\sigma$ uncertainties~\cite{Agostini:2020adk}. 2353501 27729 http://cds.cern.ch/record/2803259/files/fig_fluxcomp.png 00028 The differential fluxes of atmospheric neutrinos that are accessible by various experiments, normalized such that the area under the curves is equal to unity. The flux accessible to a next-generation xenon experiment (labeled G3 LXe) is shown in blue, and reaches much lower in energy than Super-Kamiokande currently does (shown as solid violet). Figure from Ref.~\cite{Newstead:2020fie}. 2353502 12156 http://cds.cern.ch/record/2803259/files/fig_evolution_v5.png 00002 The background rates in liquid xenon TPCs (before discrimination) have decreased exponentially over the years. This has been a key accomplishment that has enabled an exponential gain in sensitivity with ever-larger detectors. Solid dots are the best achieved limits, open squares the expected sensitivities. The experiment discussed here is labeled DARWIN/G3 and will at low energies be dominated by the signal from solar neutrinos. See text for references. 2353503 75799 http://cds.cern.ch/record/2803259/files/fig_ddcomplementarity_pdg.png 00040 Spin-independent dark matter-nuclear scattering limits set by leading direct detection experiments. Complementary experiments with different targets are essential for breaking degeneracies between signals from CE$\nu$NS and WIMP dark matter. Additionally, a variety of targets covers a wider range of potential dark matter masses. Figure adopted from Ref.~\cite{Zyla:2020zbs}. 2353504 30768 http://cds.cern.ch/record/2803259/files/fig_nurates.png 00026 Nuclear recoil event rates from astrophysical neutrinos via CE$\nu$NS. $^8$B solar neutrinos are expected to be measured first in the currently-running generation of experiments. The detector proposed here targets a precision measurement of that flux, and a first measurement of the atmospheric neutrino flux. 2353505 11383 http://cds.cern.ch/record/2803259/files/fig_mainpoints.png 00000 Main science drivers for the next-generation liquid xenon observatory. 2353506 29663 http://cds.cern.ch/record/2803259/files/fig_NSI_recoil_xe.png 00032 Neutrinos may show up in dark matter experiments well above the neutrino fog. Shown in red are the electron recoil spectra in several experiments taken from Ref.~\cite{Harnik:2012ni, Schwemberger:2022det}, with the background level in XENON1T indicated~\cite{Aprile:2017aty,Aprile:2020tmw}. The spectrum expected from Standard Model solar neutrinos is in solid black. The colored curves are the solar neutrino spectra for several new physics models discussed in the text, with line-styles corresponding to various mediator masses. The jagged steps below $\sim5\1{keV}$ are an effect of the electron binding energy as discussed in~\cite{Chen:2017plb}. 2353507 22679 http://cds.cern.ch/record/2803259/files/fig_multiscatter_SI.png 00021 Per-nucleon spin-independent scattering cross sections and dark matter masses that can be probed by liquid xenon dark matter detectors via dedicated searches for multi-scatter signals. For cross sections above $\sigma_{\rm MIMP}$ (horizontal green lines) one expects dark matter to scatter multiple times in the detector while transiting. The maximum mass reachable (vertical green lines) is limited by the total integrated flux of dark matter in the detector over the run-time of the experiment. Masses up to and beyond the Planck mass $\simeq 10^{19}\1{GeV/c^2}$ may be probed with a next-generation detector. Only smaller cross-sections and smaller masses are probed by the standard single-scatter analyses (blue lines). Figure taken from Ref.~\cite{Bramante:2018qbc}. 2353508 10289 http://cds.cern.ch/record/2803259/files/fig_high_nr_difrates.png 00011 The expected recoil spectrum for EFT operators, $O(1)$ (top left panel), $O(6)$ (top right panel), $O(10)$ (bottom left panel), and for anapole interactions (bottom right panel) in a xenon experiment. The dark matter particle mass is chosen to be $m_{\chi}=100$~GeV/$c^2$ (solid), 500~GeV$/c^2$ (dashed), and 1000~GeV$/c^2$ (dotted). The vertical dashed lines represent $E_{\mathrm{max}}=30$~keV and 500~keV. The coupling for each operator has been fixed to produce 100 events in the energy range $[3,\,30]$~keV~\cite{Bozorgnia:2018jep}. 2353509 136597 http://cds.cern.ch/record/2803259/files/fig_nufloor_100gev.png 00014 Spin-independent discovery limits at $m_\chi = 100$~GeV as a function of the expected number of atmospheric CE$\nu$NS events $N$, and the fractional uncertainty on the atmospheric neutrino flux, $\delta \Phi_{\rm Atm}/\Phi_{\rm Atm}$ from Ref.~\cite{OHare:2016pjy}. Three scaling regimes as a function of $N$ are shown with dashed lines: 1) ``background-free'' $\sigma \sim N^{-1}$, 2) Poissonian $\sigma \sim N^{-1/2}$, and 3) Saturation $\sigma \sim \sqrt{(1+\delta\Phi^2 N)/N}$. The bottom panels in each case show the logarithmic scaling exponent defined as: $n_{\rm DL} \equiv \textrm{d} \ln\sigma_{\rm DL}/\textrm{d} \ln N$. This figure shows the importance of the neutrino flux systematic uncertainty in extending the dark matter physics reach below the neutrino fog. 2353510 210953 http://cds.cern.ch/record/2803259/files/fig_sciencechannels.png 00001 The science channels of a next-generation liquid xenon observatory for rare events spans many areas and is of interest to particle physics, nuclear physics, astrophysics, solar physics, and cosmology. 2353511 15367 http://cds.cern.ch/record/2803259/files/fig_nufluxes.png 00025 Astrophysical neutrino fluxes span many orders of magnitude in flux and energy. This explains the different exposures and energy thresholds required to measure them. Figure adopted from Ref.~\cite{Dutta:2019oaj}. 2353512 86621 http://cds.cern.ch/record/2803259/files/fig_simplified_projection_si.png 00004 Projections for the next-generation experiment discussed here, together with projected and current leading $90\%$ upper limits, on the spin-independent WIMP-nucleon cross section. Blue and purple solid lines show the current limits from XENON1T~\cite{Aprile:2018dbl} and PandaX-4T~\cite{PandaX-4T:2021bab} (non-blind*). Dashed blue and orange lines indicate sensitivity projections from LZ~\cite{Akerib:2018lyp} ($15.3\,\tonneyear$, one-sided) and XENONnT~\cite{Aprile:2020vtw} ($20\,\tonneyear$). Projected median upper limits for exposures of $200\,\tonneyear$ and $1000\,\tonneyear$ are plotted in dashed red. The dashed line shows one definition of the ``neutrino floor''~\cite{Billard:2013qya}, the shaded gray area indicates the ``neutrino fog'', specifically where more than one, 10, 100, etc. neutrino events are expected in the $50\%$ most signal-like S1/S2 region. Calculations follow Refs.~\cite{wimprates,Lewin:1995rx}. 2353513 17767 http://cds.cern.ch/record/2803259/files/fig_running_weinberg_50.png 00030 Running of the Weinberg angle $\sin^2 \theta_W$ as a function of momentum scale $Q^2$, along with measured values. A deviation from Standard Model predictions (black line) could indicate the presence of new physics effects. The green band indicates the effect of a new $Z'$ with $m_{Z'} = 50 \,\textrm{MeV}$, where the width of the band is determined by the strength of the kinetic mixing parameter with $U(1)_Y$. An $\mathcal{O}$(tonne-year) xenon dark matter observatory can extend the reach of these measurements down to the keV~scale, significantly to the left of this plot, via the measurement of the pp solar neutrino flux. Figure from Ref.~\cite{Davoudiasl:2014kua}. 2353514 89318 http://cds.cern.ch/record/2803259/files/fig_lux_dpe_limits.png 00017 90\%~CL upper limits on the spin-independent WIMP-nucleon cross section obtained using the single-photon population producing Double Photoelectron Emission in the LUX 2013 WIMP search. The observed limit with a 0.3~keV NR energy cut-off is shown in solid black, with 1$\sigma$ and 2$\sigma$ sensitivity bands shown in green and yellow. The dashed black line is derived from the same analysis but with a model cut-off at 1.1~keV. Both of these results correspond to the NEST v.2.0.0 model. The upper limit using a 0.3~keV NR energy cut-off with the newer NEST v.2.0.1 model is shown using a dotted black line. Also shown are other results current at the time, namely from the LUX 2013 search~\cite{Akerib:2015rjg} (gray), the LUX complete exposure~\cite{Akerib:2016vxi} (red), DarkSide-50~\cite{Agnes:2018ves} (green), PandaX-II~\cite{Cui:2017nnn} (blue), PICO60~\cite{Amole:2017dex} (lilac) and CDMSLite~\cite{Agnese:2015nto} (purple). Figure from Ref.~\cite{Akerib:2019zrt}. 2353515 18599 http://cds.cern.ch/record/2803259/files/fig_simplified_projection_pion.png 00008 Projections and current leading $90\%$ upper limits on the scalar WIMP-pion interaction cross section. Blue solid lines show the current leading limits by XENON1T~\cite{Aprile:2018cxk}. Projected median upper limits for exposures of $200\,\tonneyear$ and $1000\,\tonneyear$ are plotted in red. Calculations follow Refs.~\cite{wimprates,Hoferichter:2018acd}. 2353516 9671 http://cds.cern.ch/record/2803259/files/fig_sidmspectrum.png 00013 Predicted event rates at a xenon-based experiment for a self-interacting dark matter model with a light mediator (solid red), a model with three times the mediator mass (dashed magenta), and the vanilla WIMP model with contact interaction (dotted green). The spectra are normalized to have the same number of total events within the signal range. See~\cite{DelNobile:2015uua} for details. 2353517 126302 http://cds.cern.ch/record/2803259/files/fig_0vbb_sensitivity.png 00024 Predicted median $T_{1/2}^{0\nu}$ sensitivity at 90\%~CL as a function of the exposure time for a next generation TPC detector containing \SI{40}{t} of liquid xenon with natural isotopic abundance. The band indicates the sensitivity range between a baseline radio purity scenario at a depth of \SI{3500}{m} water equivalent to a scenario with neutrino dominated background. Sensitivity projections for future $^{136}$Xe $0\nu\beta\beta$ experiments~\cite{Agostini:2020adk, Gomez_NEXT:2019, Chen:2016qcd, Albert:2017hjq, Barabash:2015eza} are shown for comparison. Figure based on the one in~\cite{Agostini:2020adk}. 2353518 12317 http://cds.cern.ch/record/2803259/files/fig_nu_surv_vs_energy.png 00031 The $\nu_e$ survival probability versus neutrino energy, assuming the high-Z SSM. Dots represent the solar measurements of pp (green), $^7$Be (blue), pep (orange), and $^8$B (red) from Borexino. The upward (downward) triangle shows a measurement of $^7$Be ($^8$B) from KamLAND (SNO). The open point indicates that a next-generation liquid xenon experiment could enhance the precision of the $\nu_e$ survival probability to 0.02 below 200\,keV, using solar pp neutrino events. The pink band represents the 1$\sigma$ prediction of the MSW-LMA solution. Figure from Ref.~\cite{Aalbers:2020gsn}. 2353519 65136 http://cds.cern.ch/record/2803259/files/fig_simplified_projection_sdp.png 00006 Projections and current leading $90\%$ upper limits on the spin-dependent WIMP-nucleon cross section, assuming that the WIMP couples only to proton spins (top) or neutron spins (bottom). Green and blue solid lines show the current leading limits by PICO-60~\cite{Amole:2017dex} and XENON1T~\cite{Aprile:2018dbl,Aprile:2019xxb}. Projected median upper limits for exposures of $200\,\tonneyear$ and $1000\,\tonneyear$ are plotted in red. The shaded gray areas indicate the ``neutrino fog'' with the lightest area showing the WIMP cross section where more than one neutrino event is expected in the $50\%$ most signal-like $S1,S2$ region. Subsequent shaded areas indicate tenfold increases of the neutrino expectation. Calculations follow Refs.~\cite{wimprates,Klos:2013rwa}. 2353520 56493 http://cds.cern.ch/record/2803259/files/fig_simplified_projection_sdn.png 00007 Projections and current leading $90\%$ upper limits on the spin-dependent WIMP-nucleon cross section, assuming that the WIMP couples only to proton spins (top) or neutron spins (bottom). Green and blue solid lines show the current leading limits by PICO-60~\cite{Amole:2017dex} and XENON1T~\cite{Aprile:2018dbl,Aprile:2019xxb}. Projected median upper limits for exposures of $200\,\tonneyear$ and $1000\,\tonneyear$ are plotted in red. The shaded gray areas indicate the ``neutrino fog'' with the lightest area showing the WIMP cross section where more than one neutrino event is expected in the $50\%$ most signal-like $S1,S2$ region. Subsequent shaded areas indicate tenfold increases of the neutrino expectation. Calculations follow Refs.~\cite{wimprates,Klos:2013rwa}. 2353521 66013 http://cds.cern.ch/record/2803259/files/fig_x1t_accidentals.png 00035 Illustration of the accidental coincidence background distribution from XENON1T in cS1 and log10(cS2b), with projections on each axis showing the expected distribution within the entire analysis space (blue), and in the reference region for 1.3~tonne fiducial volume. The reference region lies between the nuclear recoil median and $-2\sigma$ quantile lines, marked by red and black lines, respectively. Figure from Ref.~\cite{Aprile:2019dme}. 2353522 168964 http://cds.cern.ch/record/2803259/files/fig_nest_light_and_charge_yields_v2_3_5.png 00036 The light and charge yields for nuclear and electronic recoils, as measured by various experiments and as modeled by the Noble Element Simulation Technique (NEST) v2.3.5~\cite{szydagis_m_2022_6028483}. The light (charge) yield is defined as the number of photons (electrons) leaving the recoil site after electron-ion recombination, per unit energy. For electronic recoils, NEST has two models for $\beta$-induced and $\gamma$-induced recoils, respectively, and we show the $\beta$ model. Correspondingly, we only show experimental measurements from $\beta$ calibrations or low-energy line sources, which are observed to fit the $\beta$ model better than the $\gamma$ model. The nuclear recoil data points are from E.~Dahl's thesis~\cite{Dahl:2009nta}, XENON1T~\cite{Aprile:2019dme}, XENON10~\cite{Sorensen:2008ec, Sorensen:2010hq, Angle:2011th, Sorensen:2010hv}, LUX Run~3 (WS2013)~\cite{Akerib:2016mzi}, and dedicated xenon TPCs at Columbia University~\cite{Aprile:2018jvg}, Case Western Reserve University~\cite{Aprile:2006kx}, and Lawrence Livermore National Lab~\cite{Lenardo:2019fcn}. The electronic recoil data points are from LUX~\cite{Akerib:2019jtm, Akerib:2015wdi, Akerib:2017hph, Akerib:2016qlr}, XENON100~\cite{Aprile:2017xxh}, PIXeY~\cite{Boulton:2017hub}, Xurich~II~\cite{Baudis:2020nwe}, and a paper by Doke et~al.~\cite{Doke:2002oab}. 2353523 9793 http://cds.cern.ch/record/2803259/files/fig_spectrum_smear.png 00027 Electronic recoil scattering rates from solar neutrinos. The step-wise decrease in event rate towards low energies corresponds to the energy levels of electrons in the xenon atom. Figure from Ref.~\cite{Newstead:2018muu}. 2353524 73641 http://cds.cern.ch/record/2803259/files/fig_bottaro_v3.png 00012 Expected spin-independent scattering cross-section for Majorana multiplets (red) and for real scalar multiplets (blue), assuming the Higgs portal coupling $\lambda H = 0$). Vertical errors correspond to LQCD uncertainties on the elastic cross-section, horizontal errors indicate uncertainties from the determination of the WIMP freeze out mass. The next-generation experiment discussed here will fully probe these classes of highly motivated WIMP dark matter models. Figure adopted from~\cite{Bottaro:2021snn}. 2353525 436409 http://cds.cern.ch/record/2803259/files/fig_presupernova_neutrinos.png 00029 For a next-generation liquid xenon dark matter experiment with an assumed target mass of 50~tonnes, the expected number of pre-supernova neutrinos above the detection threshold is shown as function of time until the core collapse, for two different stellar masses at a distance of 200~pc. Figure from Ref.~\cite{Raj:2019wpy}. 2353526 145885 http://cds.cern.ch/record/2803259/files/fig_0vbb_signal.png 00022 Predicted background spectrum around the $0\nu\beta\beta$ energy region of interest (ROI) for a proposed next-generation dark matter experiment. Rates are averaged over a fiducial volume (FV) containing $5000\1{kg}$ of liquid xenon with natural isotopic abundance. Bands indicate $\pm~1\sigma$ uncertainties. The orange line represents a hypothetical signal corresponding to $T_{1/2}=2\times 10^{27}\1{years}$. Figure from Ref.~\cite{Agostini:2020adk}. 2353527 5465 http://cds.cern.ch/record/2803259/files/fig_basicfeyn.png 00038 Based on the general idea of thermal relic particles (such as WIMPs) interacting with the standard model, three detection techniques are possible: production at colliders, scattering from a target material (direct detection) and annihilation resulting in cosmic rays (indirect detection). 2353528 56857 http://cds.cern.ch/record/2803259/files/fig_mtop_nsig.png 00039 The expected number of signals per tonne-year exposure as a function of the top quark mass, $m_t$, and the strong coupling constant evaluated at the $Z$~boson mass scale, $\alpha_s(m_Z)$, in the model described in~\cite{Dunsky:2019api}. The signal count is inversely proportional to the threshold energy $E_{\rm th}$. The thickness of each colored band corresponds to $2\sigma$ uncertainty in the Higgs mass. 2353529 16931 http://cds.cern.ch/record/2803259/files/fig_results_exp_new_leg.png 00010 Discrimination power against $|\mathcal{F}_+^M|^2$ vs.\ exposure for three selected structure factors, $|\mathcal{F}_-^M|^2$ (black), $|\mathcal{F}_\pi|^2$ (orange), and $q^2/4m_\chi^2 |\mathcal{F}_-^M|^2$ (green). The detector setting is like the one discussed here, for a WIMP mass of $m_\chi =100$ GeV$/c^2$ and interaction strength $\sigma_0=10^{-47}\,{\rm cm}^2$. Figure taken from Ref.~\cite{Fieguth:2018vob}. 2353530 98601 http://cds.cern.ch/record/2803259/files/fig_x1t_migdal.png 00019 Limits on the spin-independent light mediator dark matter-nucleon interaction cross section at 90\% confidence level using signal models from the Migdal effect and Bremsstrahlung in the XENON1T experiment with the S1-S2 data (blue contours and lines) and charge-only data (black contours and lines). The solid and dashed (dotted) lines represent the lower boundaries (also referred to as upper limits) and Midgal (Bremsstrahlung) upper boundaries of the excluded parameter regions. Green and yellow shaded regions give the 1 and 2$\sigma$ sensitivity contours for upper limits derived using the S1-S2 data, respectively. The upper limits on the spin-independent dark matter-nucleon interaction cross sections from LUX~\cite{Akerib:2018hck} and XENON1T charge-only (elastic nuclear recoil results)~\cite{Aprile:2019xxb} are also shown. Figure taken from Ref.~\cite{Aprile:2019jmx}. 2353531 6080893 http://cds.cern.ch/record/2803259/files/2203.02309.pdf Fulltext 2353532 16649 http://cds.cern.ch/record/2803259/files/fig_structure_factors_xe132.png 00009 Structure factors for $^{132}$Xe from one- and two-body contributions (without interference terms). Solid lines show isoscalar and two-body contributions while dashed lines indicate isovector couplings. Figure taken from Ref.~\cite{Hoferichter:2018acd}. 2353533 45503 http://cds.cern.ch/record/2803259/files/fig_nu_magneticmoment_sensitivity.png 00033 Projected neutrino magnetic moment sensitivity (red) along with current limits from reactor-based experiments (left markers) and experiments exposed to a solar flavor mixture (right markers). All the upper limits are reported at 90\% CL, except the XENON1T result, which shows the 10-90\% confidence interval~\cite{Abe:2020nwr,Borexino:2017fbd,Aprile:2020tmw}. 2353534 32559 http://cds.cern.ch/record/2803259/files/fig_kinematics.png 00015 Maximum recoil energy transferred in elastic dark matter interactions to a xenon nucleus (blue) or in inelastic dark matter interactions to an electron (green). Currently-achieved energy thresholds are indicated for both the traditional S1$+$S2 analysis~\cite{Aprile:2018dbl,Aprile:2020tmw} as well as a S2-only analysis~\cite{Aprile:2019xxb}. The ultimate thresholds for an ideal detector are also shown ($13.7\1{eV}$ for inelastic scatters~\cite{Baudis:2021dsq} and $0.3\1{keV}$ for elastic nuclear recoils~\cite{Lenardo:2019fcn}). 2353535 1294461 http://cds.cern.ch/record/2803259/files/fig_tpc-mo_lifton.png 00003 Principle of a dual-phase liquid xenon time projection chamber. Energy from a particle interaction within the active liquid xenon volume produces prompt scintillation light (S1) and a delayed signal (S2) from electroluminescence (proportional scintillation) in the gaseous xenon layer. The localization of the S2 signal and the time difference between S1 and S2 allows for determination of the original vertex location. 2353536 23693 http://cds.cern.ch/record/2803259/files/fig_migdal_s2o_projection.png 00020 Spin-independent sensitivity for the electronic recoil-inducing Migdal effect for the case of a heavy scalar mediator. The S1-S2 sensitivity (black, solid) and the charge-only sensitivity (violet, solid) are shown. The charge-only analysis improves the sensitivity by more than two orders of magnitude with respect to the standard S1-S2 analysis (red, solid). Experimental limits from similar analyses in LUX (blue, solid)~\cite{Akerib:2018hck}, XENON1T (green, solid)~\cite{Aprile:2019xxb} and CDEX (gray, solid)~\cite{Liu:2019kzq} are also shown. 2353537 18581 http://cds.cern.ch/record/2803259/files/fig_simplified_contour_si.png 00005 Illustration of 1-~and 2-sigma (dark and light red) confidence intervals on spin-independent WIMP signals with a $1000\,\tonneyear$ exposure and WIMP masses of either 20 or $100\1{GeV/c^2}$. The signal expectation for the excesses is $1/\tonneyear$, indicated by the black dash-dotted line. 2353538 12333 http://cds.cern.ch/record/2803259/files/fig_muon_flux.png 00034 Depth-dependent muon flux at various underground laboratories (measured in “meters water equivalent” (m.w.e.). While the depth increases from 620 m.w.e. to 6720 m.w.e, the muon flux decreases by more than four orders of magnitude. The data points represent the following measurements: CallioLab (Pyh\"{a}salmi, Finland) at various depths~\cite{Polaczek-Grelik:2020brg}, LSC (Canfranc, Spain)~\cite{Trzaska:2019kuk} (with depth taken from~\cite{Morales:2005}), Soudan (Minnesota, USA)~\cite{Zhang:2014jsq}, Kamioka (Japan)~\cite{Super-Kamiokande:2015xra} (conversion from muon rate to flux based on simulations from~\cite{Tang:2006uu}), Boulby (UK) at 1,100~m level (2850~m~w.e.)~\cite{Reichhart:2013xkd}, LNGS (Gran Sasso, Italy)~\cite{Borexino:2018pev}, SURF (South Dakota, USA)~\cite{MAJORANA:2016ifg} (depth taken from~\cite{Cherry:1983dp}), LSM (Modane, France)~\cite{FREJUS:1989lko}, SNOLAB (Sudbury, Canada)~\cite{SNO:2009oor}, and Jingping (China)~\cite{JNE:2020bwn}. 2353539 24266 http://cds.cern.ch/record/2803259/files/fig_x1t_subGeV.png 00018 Shown are 90\% confidence level upper limits (black lines with gray shading above) on spin-independent dark matter-nucleus scattering with the dark matter mass, $m_\chi$, on the horizontal axis. The thick black line is the result from the XENON1T charge-only analysis. Other results are shown from XENON1T in blue~\cite{Aprile:2018dbl}, LUX in orange~\cite{Akerib:2016vxi}, PandaX-II in magenta~\cite{Ren:2018gyx}, DarkSide-50 in green~\cite{Agnes:2018ves}, XENON100 in turquoise~\cite{Aprile:2016wwo, Aprile:2016swn}. Dotted lines show the XENON1T limit when assuming the $Q_y$ from NEST v2.0.1~\cite{szydagis_m_2019_3357973} cut off below 0.3~keV. Figure taken from Ref.~\cite{Aprile:2019xxb}. 2353540 87210 http://cds.cern.ch/record/2803259/files/fig_r11410_rainbow_plot.png 00016 Superposition of single photon pulse area spectra of a R11410 PMT for different wavelengths. Each spectrum is normalized by the integral in the region between 50--120~mV~ns in order to show the effect more clearly. Figure from Ref.~\cite{Faham:2015kqa}. 2355366 6251951 http://cds.cern.ch/record/2803259/files/jt.pdf Fulltext 2421386 45503 http://cds.cern.ch/record/2803259/files/w33_fig_nu_magneticmoment_sensitivity.png 00033 Projected neutrino magnetic moment sensitivity (red) along with current limits from reactor-based experiments (left markers) and experiments exposed to a solar flavor mixture (right markers). All the upper limits are reported at 90\% CL, except the XENON1T result, which shows the 10-90\% confidence interval~\cite{Abe:2020nwr,Borexino:2017fbd,Aprile:2020tmw}. 2421387 89318 http://cds.cern.ch/record/2803259/files/w17_fig_lux_dpe_limits.png 00017 90\%~CL upper limits on the spin-independent WIMP-nucleon cross section obtained using the single-photon population producing Double Photoelectron Emission in the LUX 2013 WIMP search. The observed limit with a 0.3~keV NR energy cut-off is shown in solid black, with 1$\sigma$ and 2$\sigma$ sensitivity bands shown in green and yellow. The dashed black line is derived from the same analysis but with a model cut-off at 1.1~keV. Both of these results correspond to the NEST v.2.0.0 model. The upper limit using a 0.3~keV NR energy cut-off with the newer NEST v.2.0.1 model is shown using a dotted black line. Also shown are other results current at the time, namely from the LUX 2013 search~\cite{Akerib:2015rjg} (gray), the LUX complete exposure~\cite{Akerib:2016vxi} (red), DarkSide-50~\cite{Agnes:2018ves} (green), PandaX-II~\cite{Cui:2017nnn} (blue), PICO60~\cite{Amole:2017dex} (lilac) and CDMSLite~\cite{Agnese:2015nto} (purple). Figure from Ref.~\cite{Akerib:2019zrt}. 2421388 27729 http://cds.cern.ch/record/2803259/files/w28_fig_fluxcomp.png 00028 The differential fluxes of atmospheric neutrinos that are accessible by various experiments, normalized such that the area under the curves is equal to unity. The flux accessible to a next-generation xenon experiment (labeled G3 LXe) is shown in blue, and reaches much lower in energy than Super-Kamiokande currently does (shown as solid violet). Figure from Ref.~\cite{Newstead:2020fie}. 2421389 98601 http://cds.cern.ch/record/2803259/files/w19_fig_x1t_migdal.png 00019 Limits on the spin-independent light mediator dark matter-nucleon interaction cross section at 90\% confidence level using signal models from the Migdal effect and Bremsstrahlung in the XENON1T experiment with the S1-S2 data (blue contours and lines) and charge-only data (black contours and lines). The solid and dashed (dotted) lines represent the lower boundaries (also referred to as upper limits) and Midgal (Bremsstrahlung) upper boundaries of the excluded parameter regions. Green and yellow shaded regions give the 1 and 2$\sigma$ sensitivity contours for upper limits derived using the S1-S2 data, respectively. The upper limits on the spin-independent dark matter-nucleon interaction cross sections from LUX~\cite{Akerib:2018hck} and XENON1T charge-only (elastic nuclear recoil results)~\cite{Aprile:2019xxb} are also shown. Figure taken from Ref.~\cite{Aprile:2019jmx}. 2421390 17767 http://cds.cern.ch/record/2803259/files/w30_fig_running_weinberg_50.png 00030 Running of the Weinberg angle $\sin^2 \theta_W$ as a function of momentum scale $Q^2$, along with measured values. A deviation from Standard Model predictions (black line) could indicate the presence of new physics effects. The green band indicates the effect of a new $Z'$ with $m_{Z'} = 50 \,\textrm{MeV}$, where the width of the band is determined by the strength of the kinetic mixing parameter with $U(1)_Y$. An $\mathcal{O}$(tonne-year) xenon dark matter observatory can extend the reach of these measurements down to the keV~scale, significantly to the left of this plot, via the measurement of the pp solar neutrino flux. Figure from Ref.~\cite{Davoudiasl:2014kua}. 2421391 436409 http://cds.cern.ch/record/2803259/files/w29_fig_presupernova_neutrinos.png 00029 For a next-generation liquid xenon dark matter experiment with an assumed target mass of 50~tonnes, the expected number of pre-supernova neutrinos above the detection threshold is shown as function of time until the core collapse, for two different stellar masses at a distance of 200~pc. Figure from Ref.~\cite{Raj:2019wpy}. 2421392 168964 http://cds.cern.ch/record/2803259/files/w36_fig_nest_light_and_charge_yields_v2_3_5.png 00036 The light and charge yields for nuclear and electronic recoils, as measured by various experiments and as modeled by the Noble Element Simulation Technique (NEST) v2.3.5~\cite{szydagis_m_2022_6028483}. The light (charge) yield is defined as the number of photons (electrons) leaving the recoil site after electron-ion recombination, per unit energy. For electronic recoils, NEST has two models for $\beta$-induced and $\gamma$-induced recoils, respectively, and we show the $\beta$ model. Correspondingly, we only show experimental measurements from $\beta$ calibrations or low-energy line sources, which are observed to fit the $\beta$ model better than the $\gamma$ model. The nuclear recoil data points are from E.~Dahl's thesis~\cite{Dahl:2009nta}, XENON1T~\cite{Aprile:2019dme}, XENON10~\cite{Sorensen:2008ec, Sorensen:2010hq, Angle:2011th, Sorensen:2010hv}, LUX Run~3 (WS2013)~\cite{Akerib:2016mzi}, and dedicated xenon TPCs at Columbia University~\cite{Aprile:2018jvg}, Case Western Reserve University~\cite{Aprile:2006kx}, and Lawrence Livermore National Lab~\cite{Lenardo:2019fcn}. The electronic recoil data points are from LUX~\cite{Akerib:2019jtm, Akerib:2015wdi, Akerib:2017hph, Akerib:2016qlr}, XENON100~\cite{Aprile:2017xxh}, PIXeY~\cite{Boulton:2017hub}, Xurich~II~\cite{Baudis:2020nwe}, and a paper by Doke et~al.~\cite{Doke:2002oab}. 2421393 75799 http://cds.cern.ch/record/2803259/files/w40_fig_ddcomplementarity_pdg.png 00040 Spin-independent dark matter-nuclear scattering limits set by leading direct detection experiments. Complementary experiments with different targets are essential for breaking degeneracies between signals from CE$\nu$NS and WIMP dark matter. Additionally, a variety of targets covers a wider range of potential dark matter masses. Figure adopted from Ref.~\cite{Zyla:2020zbs}. 2421394 12333 http://cds.cern.ch/record/2803259/files/w34_fig_muon_flux.png 00034 Depth-dependent muon flux at various underground laboratories (measured in “meters water equivalent” (m.w.e.). While the depth increases from 620 m.w.e. to 6720 m.w.e, the muon flux decreases by more than four orders of magnitude. The data points represent the following measurements: CallioLab (Pyh\"{a}salmi, Finland) at various depths~\cite{Polaczek-Grelik:2020brg}, LSC (Canfranc, Spain)~\cite{Trzaska:2019kuk} (with depth taken from~\cite{Morales:2005}), Soudan (Minnesota, USA)~\cite{Zhang:2014jsq}, Kamioka (Japan)~\cite{Super-Kamiokande:2015xra} (conversion from muon rate to flux based on simulations from~\cite{Tang:2006uu}), Boulby (UK) at 1,100~m level (2850~m~w.e.)~\cite{Reichhart:2013xkd}, LNGS (Gran Sasso, Italy)~\cite{Borexino:2018pev}, SURF (South Dakota, USA)~\cite{MAJORANA:2016ifg} (depth taken from~\cite{Cherry:1983dp}), LSM (Modane, France)~\cite{FREJUS:1989lko}, SNOLAB (Sudbury, Canada)~\cite{SNO:2009oor}, and Jingping (China)~\cite{JNE:2020bwn}. 2421395 73641 http://cds.cern.ch/record/2803259/files/w12_fig_bottaro_v3.png 00012 Expected spin-independent scattering cross-section for Majorana multiplets (red) and for real scalar multiplets (blue), assuming the Higgs portal coupling $\lambda H = 0$). Vertical errors correspond to LQCD uncertainties on the elastic cross-section, horizontal errors indicate uncertainties from the determination of the WIMP freeze out mass. The next-generation experiment discussed here will fully probe these classes of highly motivated WIMP dark matter models. Figure adopted from~\cite{Bottaro:2021snn}. 2421396 126302 http://cds.cern.ch/record/2803259/files/w24_fig_0vbb_sensitivity.png 00024 Predicted median $T_{1/2}^{0\nu}$ sensitivity at 90\%~CL as a function of the exposure time for a next generation TPC detector containing \SI{40}{t} of liquid xenon with natural isotopic abundance. The band indicates the sensitivity range between a baseline radio purity scenario at a depth of \SI{3500}{m} water equivalent to a scenario with neutrino dominated background. Sensitivity projections for future $^{136}$Xe $0\nu\beta\beta$ experiments~\cite{Agostini:2020adk, Gomez_NEXT:2019, Chen:2016qcd, Albert:2017hjq, Barabash:2015eza} are shown for comparison. Figure based on the one in~\cite{Agostini:2020adk}. 2421397 12156 http://cds.cern.ch/record/2803259/files/w2_fig_evolution_v5.png 00002 The background rates in liquid xenon TPCs (before discrimination) have decreased exponentially over the years. This has been a key accomplishment that has enabled an exponential gain in sensitivity with ever-larger detectors. Solid dots are the best achieved limits, open squares the expected sensitivities. The experiment discussed here is labeled DARWIN/G3 and will at low energies be dominated by the signal from solar neutrinos. See text for references. 2421398 210953 http://cds.cern.ch/record/2803259/files/w1_fig_sciencechannels.png 00001 The science channels of a next-generation liquid xenon observatory for rare events spans many areas and is of interest to particle physics, nuclear physics, astrophysics, solar physics, and cosmology. 2421399 6447176 http://cds.cern.ch/record/2803259/files/873b1162c46162c1afaa4b2191ac7753.pdf Fulltext from Publisher 2421400 145885 http://cds.cern.ch/record/2803259/files/w22_fig_0vbb_signal.png 00022 Predicted background spectrum around the $0\nu\beta\beta$ energy region of interest (ROI) for a proposed next-generation dark matter experiment. Rates are averaged over a fiducial volume (FV) containing $5000\1{kg}$ of liquid xenon with natural isotopic abundance. Bands indicate $\pm~1\sigma$ uncertainties. The orange line represents a hypothetical signal corresponding to $T_{1/2}=2\times 10^{27}\1{years}$. Figure from Ref.~\cite{Agostini:2020adk}. 2421401 16649 http://cds.cern.ch/record/2803259/files/w9_fig_structure_factors_xe132.png 00009 Structure factors for $^{132}$Xe from one- and two-body contributions (without interference terms). Solid lines show isoscalar and two-body contributions while dashed lines indicate isovector couplings. Figure taken from Ref.~\cite{Hoferichter:2018acd}. 2421402 56857 http://cds.cern.ch/record/2803259/files/w39_fig_mtop_nsig.png 00039 The expected number of signals per tonne-year exposure as a function of the top quark mass, $m_t$, and the strong coupling constant evaluated at the $Z$~boson mass scale, $\alpha_s(m_Z)$, in the model described in~\cite{Dunsky:2019api}. The signal count is inversely proportional to the threshold energy $E_{\rm th}$. The thickness of each colored band corresponds to $2\sigma$ uncertainty in the Higgs mass. 2421403 18581 http://cds.cern.ch/record/2803259/files/w5_fig_simplified_contour_si.png 00005 Illustration of 1-~and 2-sigma (dark and light red) confidence intervals on spin-independent WIMP signals with a $1000\,\tonneyear$ exposure and WIMP masses of either 20 or $100\1{GeV/c^2}$. The signal expectation for the excesses is $1/\tonneyear$, indicated by the black dash-dotted line. 2421404 22679 http://cds.cern.ch/record/2803259/files/w21_fig_multiscatter_SI.png 00021 Per-nucleon spin-independent scattering cross sections and dark matter masses that can be probed by liquid xenon dark matter detectors via dedicated searches for multi-scatter signals. For cross sections above $\sigma_{\rm MIMP}$ (horizontal green lines) one expects dark matter to scatter multiple times in the detector while transiting. The maximum mass reachable (vertical green lines) is limited by the total integrated flux of dark matter in the detector over the run-time of the experiment. Masses up to and beyond the Planck mass $\simeq 10^{19}\1{GeV/c^2}$ may be probed with a next-generation detector. Only smaller cross-sections and smaller masses are probed by the standard single-scatter analyses (blue lines). Figure taken from Ref.~\cite{Bramante:2018qbc}. 2421405 16931 http://cds.cern.ch/record/2803259/files/w10_fig_results_exp_new_leg.png 00010 Discrimination power against $|\mathcal{F}_+^M|^2$ vs.\ exposure for three selected structure factors, $|\mathcal{F}_-^M|^2$ (black), $|\mathcal{F}_\pi|^2$ (orange), and $q^2/4m_\chi^2 |\mathcal{F}_-^M|^2$ (green). The detector setting is like the one discussed here, for a WIMP mass of $m_\chi =100$ GeV$/c^2$ and interaction strength $\sigma_0=10^{-47}\,{\rm cm}^2$. Figure taken from Ref.~\cite{Fieguth:2018vob}. 2421406 23693 http://cds.cern.ch/record/2803259/files/w20_fig_migdal_s2o_projection.png 00020 Spin-independent sensitivity for the electronic recoil-inducing Migdal effect for the case of a heavy scalar mediator. The S1-S2 sensitivity (black, solid) and the charge-only sensitivity (violet, solid) are shown. The charge-only analysis improves the sensitivity by more than two orders of magnitude with respect to the standard S1-S2 analysis (red, solid). Experimental limits from similar analyses in LUX (blue, solid)~\cite{Akerib:2018hck}, XENON1T (green, solid)~\cite{Aprile:2019xxb} and CDEX (gray, solid)~\cite{Liu:2019kzq} are also shown. 2421407 32559 http://cds.cern.ch/record/2803259/files/w15_fig_kinematics.png 00015 Maximum recoil energy transferred in elastic dark matter interactions to a xenon nucleus (blue) or in inelastic dark matter interactions to an electron (green). Currently-achieved energy thresholds are indicated for both the traditional S1$+$S2 analysis~\cite{Aprile:2018dbl,Aprile:2020tmw} as well as a S2-only analysis~\cite{Aprile:2019xxb}. The ultimate thresholds for an ideal detector are also shown ($13.7\1{eV}$ for inelastic scatters~\cite{Baudis:2021dsq} and $0.3\1{keV}$ for elastic nuclear recoils~\cite{Lenardo:2019fcn}). 2421408 86621 http://cds.cern.ch/record/2803259/files/w4_fig_simplified_projection_si.png 00004 Projections for the next-generation experiment discussed here, together with projected and current leading $90\%$ upper limits, on the spin-independent WIMP-nucleon cross section. Blue and purple solid lines show the current limits from XENON1T~\cite{Aprile:2018dbl} and PandaX-4T~\cite{PandaX-4T:2021bab} (non-blind*). Dashed blue and orange lines indicate sensitivity projections from LZ~\cite{Akerib:2018lyp} ($15.3\,\tonneyear$, one-sided) and XENONnT~\cite{Aprile:2020vtw} ($20\,\tonneyear$). Projected median upper limits for exposures of $200\,\tonneyear$ and $1000\,\tonneyear$ are plotted in dashed red. The dashed line shows one definition of the ``neutrino floor''~\cite{Billard:2013qya}, the shaded gray area indicates the ``neutrino fog'', specifically where more than one, 10, 100, etc. neutrino events are expected in the $50\%$ most signal-like S1/S2 region. Calculations follow Refs.~\cite{wimprates,Lewin:1995rx}. 2421409 87210 http://cds.cern.ch/record/2803259/files/w16_fig_r11410_rainbow_plot.png 00016 Superposition of single photon pulse area spectra of a R11410 PMT for different wavelengths. Each spectrum is normalized by the integral in the region between 50--120~mV~ns in order to show the effect more clearly. Figure from Ref.~\cite{Faham:2015kqa}. 2421410 99969 http://cds.cern.ch/record/2803259/files/w23_fig_0vbb_acceptance.png 00023 Efficiency of $0\nu\beta\beta$ signal acceptance and background rejection as a function of the minimum distance for individual reconstruction of energy depositions. The three signal lines (blue) compare different energy and angular distributions for the $0\nu\beta\beta$ signal based on a back-to-back electron emission, a mass mixing (MM) mechanism and a right-handed current (RHC) model. The background rejection efficiency is shown for $\gamma$s (red) and electrons (green) with $E=Q_{\beta\beta}=2457.8\1{keV}$. The vertical line (gray) corresponds to the value assumed here. Bands indicate $\pm~2\sigma$ uncertainties~\cite{Agostini:2020adk}. 2421411 24266 http://cds.cern.ch/record/2803259/files/w18_fig_x1t_subGeV.png 00018 Shown are 90\% confidence level upper limits (black lines with gray shading above) on spin-independent dark matter-nucleus scattering with the dark matter mass, $m_\chi$, on the horizontal axis. The thick black line is the result from the XENON1T charge-only analysis. Other results are shown from XENON1T in blue~\cite{Aprile:2018dbl}, LUX in orange~\cite{Akerib:2016vxi}, PandaX-II in magenta~\cite{Ren:2018gyx}, DarkSide-50 in green~\cite{Agnes:2018ves}, XENON100 in turquoise~\cite{Aprile:2016wwo, Aprile:2016swn}. Dotted lines show the XENON1T limit when assuming the $Q_y$ from NEST v2.0.1~\cite{szydagis_m_2019_3357973} cut off below 0.3~keV. Figure taken from Ref.~\cite{Aprile:2019xxb}. 2421412 5465 http://cds.cern.ch/record/2803259/files/w38_fig_basicfeyn.png 00038 Based on the general idea of thermal relic particles (such as WIMPs) interacting with the standard model, three detection techniques are possible: production at colliders, scattering from a target material (direct detection) and annihilation resulting in cosmic rays (indirect detection). 2421413 1294461 http://cds.cern.ch/record/2803259/files/w3_fig_tpc-mo_lifton.png 00003 Principle of a dual-phase liquid xenon time projection chamber. Energy from a particle interaction within the active liquid xenon volume produces prompt scintillation light (S1) and a delayed signal (S2) from electroluminescence (proportional scintillation) in the gaseous xenon layer. The localization of the S2 signal and the time difference between S1 and S2 allows for determination of the original vertex location. 2421414 29663 http://cds.cern.ch/record/2803259/files/w32_fig_NSI_recoil_xe.png 00032 Neutrinos may show up in dark matter experiments well above the neutrino fog. Shown in red are the electron recoil spectra in several experiments taken from Ref.~\cite{Harnik:2012ni, Schwemberger:2022det}, with the background level in XENON1T indicated~\cite{Aprile:2017aty,Aprile:2020tmw}. The spectrum expected from Standard Model solar neutrinos is in solid black. The colored curves are the solar neutrino spectra for several new physics models discussed in the text, with line-styles corresponding to various mediator masses. The jagged steps below $\sim5\1{keV}$ are an effect of the electron binding energy as discussed in~\cite{Chen:2017plb}. 2421415 9793 http://cds.cern.ch/record/2803259/files/w27_fig_spectrum_smear.png 00027 Electronic recoil scattering rates from solar neutrinos. The step-wise decrease in event rate towards low energies corresponds to the energy levels of electrons in the xenon atom. Figure from Ref.~\cite{Newstead:2018muu}. 2421416 10289 http://cds.cern.ch/record/2803259/files/w11_fig_high_nr_difrates.png 00011 The expected recoil spectrum for EFT operators, $O(1)$ (top left panel), $O(6)$ (top right panel), $O(10)$ (bottom left panel), and for anapole interactions (bottom right panel) in a xenon experiment. The dark matter particle mass is chosen to be $m_{\chi}=100$~GeV/$c^2$ (solid), 500~GeV$/c^2$ (dashed), and 1000~GeV$/c^2$ (dotted). The vertical dashed lines represent $E_{\mathrm{max}}=30$~keV and 500~keV. The coupling for each operator has been fixed to produce 100 events in the energy range $[3,\,30]$~keV~\cite{Bozorgnia:2018jep}. 2421417 56493 http://cds.cern.ch/record/2803259/files/w7_fig_simplified_projection_sdn.png 00007 Projections and current leading $90\%$ upper limits on the spin-dependent WIMP-nucleon cross section, assuming that the WIMP couples only to proton spins (top) or neutron spins (bottom). Green and blue solid lines show the current leading limits by PICO-60~\cite{Amole:2017dex} and XENON1T~\cite{Aprile:2018dbl,Aprile:2019xxb}. Projected median upper limits for exposures of $200\,\tonneyear$ and $1000\,\tonneyear$ are plotted in red. The shaded gray areas indicate the ``neutrino fog'' with the lightest area showing the WIMP cross section where more than one neutrino event is expected in the $50\%$ most signal-like $S1,S2$ region. Subsequent shaded areas indicate tenfold increases of the neutrino expectation. Calculations follow Refs.~\cite{wimprates,Klos:2013rwa}. 2421418 12317 http://cds.cern.ch/record/2803259/files/w31_fig_nu_surv_vs_energy.png 00031 The $\nu_e$ survival probability versus neutrino energy, assuming the high-Z SSM. Dots represent the solar measurements of pp (green), $^7$Be (blue), pep (orange), and $^8$B (red) from Borexino. The upward (downward) triangle shows a measurement of $^7$Be ($^8$B) from KamLAND (SNO). The open point indicates that a next-generation liquid xenon experiment could enhance the precision of the $\nu_e$ survival probability to 0.02 below 200\,keV, using solar pp neutrino events. The pink band represents the 1$\sigma$ prediction of the MSW-LMA solution. Figure from Ref.~\cite{Aalbers:2020gsn}. 2421419 11383 http://cds.cern.ch/record/2803259/files/w0_fig_mainpoints.png 00000 Main science drivers for the next-generation liquid xenon observatory. 2421420 9671 http://cds.cern.ch/record/2803259/files/w13_fig_sidmspectrum.png 00013 Predicted event rates at a xenon-based experiment for a self-interacting dark matter model with a light mediator (solid red), a model with three times the mediator mass (dashed magenta), and the vanilla WIMP model with contact interaction (dotted green). The spectra are normalized to have the same number of total events within the signal range. See~\cite{DelNobile:2015uua} for details. 2421421 65136 http://cds.cern.ch/record/2803259/files/w6_fig_simplified_projection_sdp.png 00006 Projections and current leading $90\%$ upper limits on the spin-dependent WIMP-nucleon cross section, assuming that the WIMP couples only to proton spins (top) or neutron spins (bottom). Green and blue solid lines show the current leading limits by PICO-60~\cite{Amole:2017dex} and XENON1T~\cite{Aprile:2018dbl,Aprile:2019xxb}. Projected median upper limits for exposures of $200\,\tonneyear$ and $1000\,\tonneyear$ are plotted in red. The shaded gray areas indicate the ``neutrino fog'' with the lightest area showing the WIMP cross section where more than one neutrino event is expected in the $50\%$ most signal-like $S1,S2$ region. Subsequent shaded areas indicate tenfold increases of the neutrino expectation. Calculations follow Refs.~\cite{wimprates,Klos:2013rwa}. 2421422 248737 http://cds.cern.ch/record/2803259/files/w37_fig_wimperhistos_v6.png 00037 Histograms for a flat electronic recoil spectrum and a nuclear recoil spectrum as from a 50~GeV spin-independent WIMP, simulated for different electric fields (using NEST~2.3.5). The top band for each plot is the electronic recoil band, the bottom is the nuclear recoil band. Red lines refer to the median for either band, and the white dotted lines delimit the one-sigma region. Already-demonstrated discrimination is expected to be sufficient for a next-generation detector. 2421423 30768 http://cds.cern.ch/record/2803259/files/w26_fig_nurates.png 00026 Nuclear recoil event rates from astrophysical neutrinos via CE$\nu$NS. $^8$B solar neutrinos are expected to be measured first in the currently-running generation of experiments. The detector proposed here targets a precision measurement of that flux, and a first measurement of the atmospheric neutrino flux. 2421424 18599 http://cds.cern.ch/record/2803259/files/w8_fig_simplified_projection_pion.png 00008 Projections and current leading $90\%$ upper limits on the scalar WIMP-pion interaction cross section. Blue solid lines show the current leading limits by XENON1T~\cite{Aprile:2018cxk}. Projected median upper limits for exposures of $200\,\tonneyear$ and $1000\,\tonneyear$ are plotted in red. Calculations follow Refs.~\cite{wimprates,Hoferichter:2018acd}. 2421425 66013 http://cds.cern.ch/record/2803259/files/w35_fig_x1t_accidentals.png 00035 Illustration of the accidental coincidence background distribution from XENON1T in cS1 and log10(cS2b), with projections on each axis showing the expected distribution within the entire analysis space (blue), and in the reference region for 1.3~tonne fiducial volume. The reference region lies between the nuclear recoil median and $-2\sigma$ quantile lines, marked by red and black lines, respectively. Figure from Ref.~\cite{Aprile:2019dme}. 2421426 15367 http://cds.cern.ch/record/2803259/files/w25_fig_nufluxes.png 00025 Astrophysical neutrino fluxes span many orders of magnitude in flux and energy. This explains the different exposures and energy thresholds required to measure them. Figure adopted from Ref.~\cite{Dutta:2019oaj}. 2421427 136597 http://cds.cern.ch/record/2803259/files/w14_fig_nufloor_100gev.png 00014 Spin-independent discovery limits at $m_\chi = 100$~GeV as a function of the expected number of atmospheric CE$\nu$NS events $N$, and the fractional uncertainty on the atmospheric neutrino flux, $\delta \Phi_{\rm Atm}/\Phi_{\rm Atm}$ from Ref.~\cite{OHare:2016pjy}. Three scaling regimes as a function of $N$ are shown with dashed lines: 1) ``background-free'' $\sigma \sim N^{-1}$, 2) Poissonian $\sigma \sim N^{-1/2}$, and 3) Saturation $\sigma \sim \sqrt{(1+\delta\Phi^2 N)/N}$. The bottom panels in each case show the logarithmic scaling exponent defined as: $n_{\rm DL} \equiv \textrm{d} \ln\sigma_{\rm DL}/\textrm{d} \ln N$. This figure shows the importance of the neutrino flux systematic uncertainty in extending the dark matter physics reach below the neutrino fog. 13 ARTICLE 2802879 20250515232311.0 oai:cds.cern.ch:2802879 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN CERN-THESIS-2021-293 eng AUTHOR|(CDS)2242296 AUTHOR|(SzGeCERN)818325 Ogallar Ruiz, Francisco francisco.ogallar.ruiz@cern.ch Universidad de Granada (ES) Evaluation and criticality assessment of radiological source terms to be used for fire risk studies at accelerator facilities. Granada, Spain Universidad de Granada. Tesis Doctorales. 198 p Presented 03 Feb 2022 PhD University of Granada 2021-11-26 The European Organisation for Nuclear Research (CERN) is one of the largest scientific laboratories worldwide. Nowadays, mainly focused on high energy particle physics, it provides the scientific community with a unique range of particle accelerator facilities that are used by over 600 institutes and universities around the world. In such particle accelerator facilities, high energy particles end up almost inevitably impinging onto the surrounding material, inducing nuclear reactions. This often results in activation, which is the artificial induction of radioactivity in otherwise non-radioactive materials. Particles ejected in radioactive decays are part of the so-called ionising radiation, and their interaction with living biological tissue can have harmful and eventually lethal results. The CERN Radiation Protection group ensures that the personnel of the laboratory, the public and the environment are protected from potentially harmful effects of ionizing radiation linked to the organization’s activities. CERN is also a unique laboratory with respect to challenges related to fire protection. The complexity of the facilities and their radiological hazards often require dedicated studies to successfully prevent, mitigate and face potential accidental fires. To carry out these studies, the Occupational Health & Safety and Environmental Protection Unit of CERN launched the FIRIA project. Its aim is to develop an integrated approach to quantitatively assess potential discharges of radioactive substances induced by a fire accident. The accurate determination of the inventory of radionuclides released from activated materials as a consequence of fire is of the utmost importance in order to estimate the potential radiological consequences derived from such an event. This has revealed the need to evaluate the contribution of the thermally promoted out-diffusion of radionuclides. We refer as out-diffused to those radionuclides initially placed in the matrix of a solid, which due to thermally promoted diffusion reach the surface of the object that contains them and manage to escape from it, subsequently being released to the environment. The work presented here aims to meet the need for an accurate assessment of this phenomenon by designing, implementing and benchmarking a simulation software to realistically estimate the contribution of radioisotope out-diffusion for a wide range of possible fire scenarios. CERN Doctoral Student Program CERN EDS SzGeCERN Physics in General CERN THESIS Not applicable Not applicable Not applicable Porras Sánchez, José Ignacio dir. University of Granada Vincke, Helmut dir. CERN Theis, Christian dir. CERN HSE 2352911 43069960 http://cds.cern.ch/record/2802879/files/CERN-THESIS-2021-293.pdf francisco.ogallar.ruiz@cern.ch n 202209 a2022 14 PUBLIC https://repository.cern/legacy/record/2802879 THESIS MIGRATED 2806255 20251201182934.0 oai:cds.cern.ch:2806255 forSciTalks cerncds:TALK eng CERN. Geneva Living Well Within Planetary Limits: is it possible? And what can physicists contribute? CERN - 500/1-001 - Main Auditorium 2022-04-05T14:00:00 2022-04-05T16:00:00 1049148 Living Well Within Planetary Limits: is it possible? And what can physicists contribute? 2022 2022-04-05 3681 Streaming video Academic Training Lecture Regular Programme 2021-2022 2022-04-05T14:00:00 <!--HTML--><p><span><span><strong>Abstract:</strong><br /> <span style="color:#000000">This seminar will report on several streams of research within the “Living Well Within Limits” project. The Living Well Within Limits project investigates the energy requirements of well-being, from quantitative, participatory and provisioning systems perspectives. In this presentation, I will communicate individual and cross-cutting findings from the project, and their implications for the physics research community. In particular, I will share our most recent results on the international distribution of energy footprints, results on the national characteristics that enable high well-being at low energy use, and modelling of universal well-being energy requirements. I will show that achieving low-carbon well-being, both from the beneficiary (“consumer”) and supply-chain (producer) sides, involves strong distributional and political elements. Simply researching this area from a technical or economic lens is insufficient to draw out the reasons for poor outcomes and most promising avenues for positive change. I will connect this research to potential contributions from the physics community to some of the most important challenges humanity has ever faced. </span></span></span></p> <p>&nbsp;</p> <p><strong><span style="color:null">Bio Julia Steinberger:</span></strong></p> <p><span style="color:#7f8c8d">Professor Julia Steinberger researches and teaches in the interdisciplinary areas of Ecological Economics and Industrial Ecology. Her research examines the connections between resource use (energy and materials, greenhouse gas emissions) and societal performance (economic activity and human wellbeing). She is interested in quantifying the current and historical linkages between resource use and socioeconomic parameters, and identifying alternative development pathways to guide the necessary transition to a low carbon society. She is the recipient of a Leverhulme Research Leadership Award for her research project&nbsp;</span><a href="http://lili.leeds.ac.uk/"><span style="color:#7f8c8d">‘Living Well Within Limits’&nbsp;</span></a><span style="color:#7f8c8d">investigating how universal human well-being might be achieved within planetary boundaries. She is Lead Author for the IPCC’s 6th Assessment Report with Working Group 3.</span></p> <p><span style="color:#7f8c8d">Prof. Steinberger is Professor of Societal Challenges of Climate Change at the University of Lausanne since 2020. Before that, she worked at the University of Leeds, and was a Senior Researcher at the Institute of Social Ecology in Vienna (SEC), where she investigated sustainable cities and the links between material use and economic performance. She has held postdoctoral positions at the Universities of Lausanne and Zurich, and obtained her PhD from the Massachusetts Institute of Technology. She has published over 40 internationally peer-reviewed articles since 2009 in journals including Nature Climate Change, Nature Sustainability, WIRES-Climate Change, Environmental Science &amp; Technology, PLOS ONE and Environmental Research Letters.</span></p> <p>&nbsp;</p> CERN 2022 Academic Training Lecture Regular Programme Event TALK CERN Steinberger, Julia K. speaker Institute of Geography & Sustainability, Faculty of Geosciences & Environment, University of Lausanne https://indico.cern.ch/event/1049148/ Event details MediaArchive /mnt/master_share/master_data/2022/1049148 Absolute master path MediaArchive /2022/1049148/1049148_en.vtt subtitle subtitle English MediaArchive https://lecturemedia.cern.ch/2022/1049148/1049148-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1049148/1049148-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 581119 MediaArchive https://lecturemedia.cern.ch/2022/1049148/1049148-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 951881 MediaArchive https://lecturemedia.cern.ch/2022/1049148/1049148-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 244928 MediaArchive https://lecturemedia.cern.ch/2022/1049148/1049148-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 112863 MediaArchive https://lecturemedia.cern.ch/2022/1049148/1049148-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 322379 MediaArchive https://lecturemedia.cern.ch/2022/1049148/1049148-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3973029 MediaArchive https://lecturemedia.cern.ch/2022/1049148/1049148-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1196222 MediaArchive https://lecturemedia.cern.ch/2022/1049148/1049148-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 84107 marika.flygar@cern.ch Steinberger, Julia K. Institute of Geography & Sustainability, Faculty of Geosciences & Environment, University of Lausanne 2021-06-14T08:28:23 2022-04-07T13:06:39 PUBLIC INDICO.1049148 https://videos.cern.ch/legacy/record/2806255 Indico ACAD MIGRATED 2805752 SzGeCERN 20220403170557.0 DOI 10.1109/irc.2019.00035 oai:cds.cern.ch:2805752 cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2023114 2022-03-31T14:36:26Z 2022-04-02T04:00:07Z marcxml Inspire 2023114 eng Di Castro, Mario mario.di.castro@cern.ch CERN submitter A Multidimensional RSSI Based Framework for Autonomous Relay Robots in Harsh Environments 2019 6 p submitter Robotic tele-operation is essential for many dangerous applications, like inspection and manipulation in human hazardous environments. Also, the current state of the art in robotic tele-operation shows the necessity to increase distance between the operator and the robot, while maintaining safety of the operation. Nowadays, delicate manipulation in hazardous environments are mostly performed by robots that were designed for applications such as demining or military purposes, which provide the required level of safety, presenting, however, a series of technology issues, in terms for example of robot localization, cooperation, localization or multimodal human-robot interfaces. In fact, these commercial teleoperated robots normally present the necessity to establish a point-to-point communication between the robot and the base station, reducing its controlling area. This limitation is a difficulty, specially to perform interventions in tunnel environments, such as the one presented at CERN. In this paper a framework for the design of an autonomous relay robot is presented, which allows to have a series of moving stations, in order to extend the communication range between the robot and the operator. The robots are able to navigate safely and to move according to the measured signal strength, in order to maximize the signal throughput between the operator and the robot. The framework is based on different dynamic filtering techniques including Kalman based ones. This allows to predict the signal strength while moving and to react safely to unpredictable environmental changes that might highly affect the signal coverage. The proposed framework has been firstly validated and then successfully deployed on different robotic platforms, while theoretically demonstrated in simulation. Preliminary test results, which have been implemented using the Wi-Fi communication layer, have been tested in the CERN facilities. publication IEEE © IEEE 2019 SzGeCERN Computing and Computers relays robots autonomous navigation ARTICLE CERN Lunghi, Giacomo CERN Masi, Alessandro CERN Ferre, Manuel Madrid, Polytechnic U. Prades, Raul Marin Jaume I U., Castellon 183-188 C19-02-25.2 2019 13 2800807 183-188 naples20190225 ARTICLE ConferencePaper 2810838 20240216115643.0 oai:cds.cern.ch:2810838 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI APS 10.1103/PhysRevD.106.064056 publication arXiv oai:arXiv.org:2205.08550 oai:inspirehep.net:2084191 https://inspirehep.net/api/oai2d Inspire 2024-02-15T19:47:28Z 2024-02-16T03:10:41Z marcxml true Inspire 2084191 arXiv arXiv:2205.08550 gr-qc eng Sberna, Laura Potsdam, Max Planck Inst. Max Planck Institute for Gravitational Physics (Albert Einstein Institute), Am Muühlenberg 1, 14476 Potsdam, Germany APS Observing GW190521-like binary black holes and their environment with LISA 2022-09-15 2022-05-17 17 p arXiv 13+4 pages, 7+1 figures v3: corrected typo in Fig 5 APS Binaries of relatively massive black holes like GW190521 have been proposed to form in dense gas environments, such as the disks of active galactic nuclei (AGNs), and they might be associated with transient electromagnetic counterparts. The interactions of this putative environment with the binary could leave a significant imprint at the low gravitational wave frequencies observable with the Laser Interferometer Space Antenna (LISA). We show that LISA will be able to detect up to ten GW190521-like black hole binaries, with sky position errors <math display="inline"><mo>≲</mo><mn>1</mn><mtext> </mtext><mtext> </mtext><msup><mrow><mi>deg</mi></mrow><mrow><mn>2</mn></mrow></msup></math>. Moreover, it will measure directly various effects due to the orbital motion around the supermassive black hole at the center of the AGN, especially the Doppler modulation and the Shapiro time delay. Thanks to a careful treatment of their frequency domain signal, we were able to perform the full parameter estimation of Doppler and Shapiro-modulated binaries as seen by LISA. We find that the Doppler and Shapiro effects will allow for measuring the AGN parameters (radius and inclination of the orbit around the AGN, central black hole mass) with up to percent-level precision. Properly modeling these low-frequency environmental effects is crucial to determine the binary formation history, as well as to avoid biases in the reconstruction of the source parameters and in tests of general relativity with gravitational waves. arXiv Binaries of relatively massive black holes like GW190521 have been proposed to form in dense gas environments, such as the disks of Active Galactic Nuclei (AGNs), and they might be associated with transient electromagnetic counterparts. The interactions of this putative environment with the binary could leave a significant imprint at the low gravitational wave frequencies observable with the Laser Interferometer Space Antenna (LISA). We show that LISA will be able to detect up to ten GW190521-like black hole binaries, with sky position errors $\lesssim1$ deg$^2$. Moreover, it will measure directly various effects due to the orbital motion around the supermassive black hole at the center of the AGN, especially the Doppler modulation and the Shapiro time delay. Thanks to a careful treatment of their frequency domain signal, we were able to perform the full parameter estimation of Doppler and Shapiro-modulated binaries as seen by LISA. We find that the Doppler and Shapiro effects will allow for measuring the AGN parameters (radius and inclination of the orbit around the AGN, central black hole mass) with up to percent-level precision. Properly modeling these low-frequency environmental effects is crucial to determine the binary formation history, as well as to avoid biases in the reconstruction of the source parameters and in tests of general relativity with gravitational waves. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication CC BY 4.0 https://creativecommons.org/licenses/by/4.0/ publication authors 2022 V 2022-05-26 abs V 2022-05-30 printed arXiv astro-ph.HE SzGeCERN Astrophysics and Astronomy arXiv gr-qc SzGeCERN General Relativity and Cosmology CERN ARTICLE Babak, Stanislav APC, Paris APC, AstroParticule et Cosmologie, Université de Paris, CNRS, F-75013 Paris, France Marsat, Sylvain L2IT, Toulouse Laboratoire des 2 Infinis-Toulouse (L2IT-IN2P3), Université de Toulouse, CNRS, UPS, F-31062 Toulouse Cedex 9, France Caputo, Andrea Tel Aviv U. Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel School of Physics and Astronomy, Tel-Aviv University, Tel-Aviv 69978, Israel Cusin, Giulia Geneva U. Paris, Inst. Astrophys. Sorbonne Université, CNRS, UMR 7095, Institut d’Astrophysique de Paris, 75014 Paris, France Université de Genéve, Département de Physique Théorique and Centre for Astroparticle Physics, 24 quai Ernest-Ansermet, CH-1211 Genéve 4, Switzerland Toubiana, Alexandre Potsdam, Max Planck Inst. Max Planck Institute for Gravitational Physics (Albert Einstein Institute), Am Muühlenberg 1, 14476 Potsdam, Germany Barausse, Enrico SISSA, Trieste INFN, Trieste INFM, Trieste IFPU, Trieste IFPU—Institute for Fundamental Physics of the Universe, Via Beirut 2, 34014 Trieste, Italy SISSA, Via Bonomea 265, 34136 Trieste, Italy and INFN, Sezione di Trieste Caprini, Chiara Geneva U. CERN CERN, Theoretical Physics Department, 1 Esplanade des Particules, CH-1211 Genève 23, Switzerland Université de Genéve, Département de Physique Théorique and Centre for Astroparticle Physics, 24 quai Ernest-Ansermet, CH-1211 Genéve 4, Switzerland Dal Canton, Tito IJCLab, Orsay Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France Sesana, Alberto Milan Bicocca U. INFN, Milan Bicocca National Institute of Nuclear Physics INFN, Milano—Bicocca, Piazza della Scienza 3, 20126 Milano, Italy Department of Physics G. Occhialini, University of Milano—Bicocca, Piazza della Scienza 3, 20126 Milano, Italy Tamanini, Nicola L2IT, Toulouse Laboratoire des 2 Infinis-Toulouse (L2IT-IN2P3), Université de Toulouse, CNRS, UPS, F-31062 Toulouse Cedex 9, France 064056 publication 6 Phys. Rev. D 106 2022 2370317 32412 http://cds.cern.ch/record/2810838/files/AGN_params_rerun.png 00001 Inference of the SMBH mass ($M_\bullet$) and the parameters of the outer orbit: inclination $\iota_{\bullet}$ and orbital radius $a_{\bullet}$. The true {(cosmologically redshifted)} parameters are marked by black lines, while the dashed vertical lines indicate 90\% CLs. 2370318 7970011 http://cds.cern.ch/record/2810838/files/2205.08550.pdf Fulltext 2370319 1513751 http://cds.cern.ch/record/2810838/files/AGN_paramsPE_full.png 00003 Full parameter estimation of a GW190521-like binary around an AGN. The parameters are, from left to right: chirp mass, mass ratio, symmetric spin combination ($\chi_{PN}$), asymmetric spin combination ($\chi_{-}$), initial GW frequency, luminosity distance, azimuthal position of the observer in the source frame, ecliptic longitude and latitude, polarization phase, orbital angular velocity of the binary around AGN, projections of the orbital separation $a_\bullet \cos{\iota_\bullet}, \; a_\bullet \sin{\iota_\bullet}$, and initial centrogalactic orbital phase. The black lines mark the true parameters of the injected signal. 2370320 696132 http://cds.cern.ch/record/2810838/files/AGN_GR_PE.png 00001 Overplotting the uncertainties contours in the parameters of the GW190521-like binary (excluding AGN-related parameters) in the presence of the SMBH (green) and in its absence (in black). Red crosses denote the position of the true {(cosmologically redshifted)} parameters{, while the dashed vertical lines indicate 90\% CLs.}. 2370321 79715 http://cds.cern.ch/record/2810838/files/PDF_event_avarage10yrs.png 00000 Left: distribution of the SNR in LISA for GW190521, averaged over the sky position and polarization assuming that the binary merges shortly after 10 years of LISA observations. Solid lines correspond to SciRD detector sensitivity, while dashed lines corresponds to the current-best-estimate (CBE) sensitivity, similar to MRD at high frequencies. Right: number of GW190521-like events detectable by LISA as a function of the SNR threshold, for a fiducial (SciRD, 6 yrs) and optimistic (MRD, 10 yrs) mission configuration. SciRD points are shifted for clarity. Both panels assume a conservative duty cycle of 75\%. 2370322 38907 http://cds.cern.ch/record/2810838/files/AGN_Detect_biasV5.png 00002 Analysis of a GW190521-like binary at large distance from the SMBH with a vacuum template. We show the fitting factor (upper left), the difference between best-fit and true {(cosmologically redshifted)} chirp mass (upper right), best-fit mass ratio (lower left) and difference between the best-fit and true {(observed)} time to coalescence (lower right), as a function of the distance of the GW190521-like binary from the SMBH. For the chirp mass, we also show the difference between the best-fit value and the true value redshifted by the Doppler effect, as measured at the start of observations. As the distance from the SMBH decreases, the vacuum template causes a significant loss in SNR and strong biases in the inner binary parameters. The true value for the chirp mass and mass ratio is $104.28\, M_{\odot}$ and $1.68$, respectively, the measurement precision (half of the 90\% confidence interval in Fig.~\ref{F:AGN-pe}) is approximately~$5 \times 10^{-3} M_{\odot}$ for the chirp mass and 20 minutes for the time to coalescence. 2399285 3756813 http://cds.cern.ch/record/2810838/files/PhysRevD.106.064056.pdf Fulltext 2399285 158301 http://cds.cern.ch/record/2810838/files/PhysRevD.106.064056.jpg?subformat=icon-700 icon-700 Fulltext 2399285 30204 http://cds.cern.ch/record/2810838/files/PhysRevD.106.064056.jpg?subformat=icon-180 icon-180 Fulltext 2399285 9943 http://cds.cern.ch/record/2810838/files/PhysRevD.106.064056.gif?subformat=icon icon Fulltext 13 ARTICLE 2810365 SzGeCERN 20230316202249.0 9788670259508 print version, paperback oai:cds.cern.ch:2810365 cerncds:CONF cerncds:TALK INSPIRE-CNUM C22-08-28.2 eng 20220828 11th International Conference of the Balkan Physical Union - BPU11 Congress Belgrade, Serbia 28 Aug - 1 Sep 2022 2022 belgrade20220828 11 RS 20220901 Belgrade 2022 Serbian Academy of Sciences and Arts (SASA) Kneza Mihaila 35, Belgrade, Serbia bpu11@bpu11.info Organisers: Serbian Academy of Sciences and Arts – SANU; Faculty of Sciences and Mathematics, University of Niš; Faculty of Physics, Belgrade; The Institute of Physics Belgrade, National Institute of the Republic of Serbia; Vinča Institute of Nuclear Sciences, University of Belgrade, National Institute of the Republic of Serbia; Faculty of Mathematics, Belgrade; Mathematical Institute SANU, Belgrade; Faculty of Science, University of Kragujevac; Faculty of Science, University of Novi Sad; SEENET-MTP Centre; European Physical Society (EPS) CERN EDS ILSLINK ILSSYNC SzGeCERN Physics in General SzGeCERN Conference CERN Nuclear Physics and Nuclear Energy CERN Astronomy and Astrophysics CERN Gravitation and Cosmology CERN Atomic and Molecular Physics CERN High Energy Physics (Particles and Fields) CERN Condensed Matter Physics and Statistical Physics CERN Optics and Photonics CERN Plasma and Gas-Discharge Physics CERN Theoretical, Mathematical and Computational Physics CERN Meteorology and Geophysics CERN Environmental Physics – Alternative Sources of Energy CERN Physics of Socioeconomic Systems and Applied Physics CERN Biophysics and Medical Physics CERN Physics Education, History and Philosophy of Physics CERN Metrology and Instrumentation CONFERENCE PROCEEDINGS Constantinescu, R ed. Popović, Z ed. Balaž, A ed. Karamarković, J ed. Lazarević, N ed. Berge, L ed. Djordjević , G ed. BPU11 https://bpu11.info/ Conference home page mmilan@seenet-mtp.info x n 202221 42 PUBLIC 000775543CER PROCEEDINGS 2809956 20250515232322.0 oai:cds.cern.ch:2809956 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN Inspire 2080870 CERN-THESIS-2022-045 eng AUTHOR|(CDS)2258831 AUTHOR|(SzGeCERN)820509 Renardi, Alessia alessia.renardi@cern.ch Deutsches Elektronen-Synchrotron (DE) The silicon strip detector of the ATLAS Inner Tracker: from individual sensing units to multi-module petal structures 154 p Presented 04 Apr 2022 PhD Dortmund University 2022-01-17 Nowadays particle detector technology is taking big steps forwards and new devices dedicated to particle physics show very high performance. Particularly the semi-conductor detectors have advanced significantly and are used for tracking purposes in the A Toroidal LHC ApparatuS (ATLAS) experiment at CERN thanks to their excellent spacial resolution: the compact size of the silicon and its high granularity allow to reach a precision measurement of few tens of microns. This thesis is focused on the upgrade of the ATLAS tracking detector required for the High Luminosity Large Hadron Collider (HL-LHC), starting in 2027. The HL-LHC foresees an integrated luminosity of L = 3000 fb −1 , which comes with an unprecedented rate of proton collisions, with a pile-up of 200, and very high radiation doses. As the current inner detector has not been designed for the HL-LHC environmental conditions, an all-silicon Inner Tracker (ITk) will take its place during Phase-II upgrade of the ATLAS experiment. The ITk strip endcap sub-detector is the main topic of this PhD project. The investigation covers the assembly of silicon strip endcap modules and their loading on a local support structure. The building and loading procedures are presented as well as results of quality control (QC) tests carried out on prototyping components to establish their working performance and the fulfillment of the specifications. This work provides the procedure optimization in order to achieve the requirements imposed by the collaboration. Results on prototyping components, such as a fully electrical module and a semi-electrical petal, both built and tested at DESY, are presented. They are followed by tests on an electrical petal performed at low temperature with the evaporative CO2 cooling technique. The QC tests carried out on all prototypes have demonstrated that they have been properly assembled and are fully functional. Moreover they fulfill the respective requirements validating therefore the components design and the building methods. CERN EDS SzGeCERN Detectors and Experimental Techniques CERN THESIS CERN LHC ATLAS Dr Diez Cornell, Sergio dir. DESY Kroeninger, Kevin dir. University of Dortmund EP 2369314 56409551 http://cds.cern.ch/record/2809956/files/CERN-THESIS-2022-045.pdf alessia.renardi@cern.ch n 202220 a2022 14 PUBLIC https://repository.cern/legacy/record/2809956 THESIS MIGRATED 2809701 SzGeCERN 20220519205439.0 DOI 10.1016/j.ijheatmasstransfer.2021.121094 oai:cds.cern.ch:2809701 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2022-05-17T16:09:56Z marcxml oai:inspirehep.net:2072709 2022-05-17T14:23:51Z Inspire 2072709 eng Hellenschmidt, D CERN submitter Effects of saturation temperature on the boiling properties of carbon dioxide in small diameter pipes at low vapour quality: Heat transfer coefficient 2021 19 p submitter The renewed interest in carbon dioxide as a refrigerant stems from both the environmental friendly properties of this fluid and from its extremely favourable performance as compared to most standard refrigerants at the same temperature, in particular for all applications where small size evaporators are required. Since a dependable forecast of heat transfer is crucial for these applications and reliable predictive methods spanning a large temperature range are so far missing, a long-term study has been launched to create a consistent and reliable experimental database studying the peculiarities of boiling carbon dioxide in mini- and micro-channels, aiming at a future improvement of predictive models. This study presents results on the local heat transfer coefficient of boiling carbon dioxide at low vapour quality (0 < x < 0.4) in 200 mm-long stainless steel tubes with inner diameters of 2.15 mm, 1 mm and 0.5 mm. The dedicated test setup equipped with high precision sensors allows to probe a wide range of saturation temperatures (+15◦C to -25◦C) and mass fluxes between 100 and 1800 kg/m2s have been studied under diabatic test conditions for heat fluxes from 5 to 35 kW/m2. The results discussed focus on the influence of the saturation temperature on the two-phase heat transfer coefficient. It is suggested that the combination of shifting physical properties of carbon dioxide and different flow confinement conditions cause a change in the phenomenological behaviour of the flow and that a transition between macro- and micro-scale most likely occurs within the range of tested parameters. Furthermore it is found that a shift in the applicability of existing prediction methods is caused by those effects and no correlation is able to predict the experimental data and trends in the whole temperature range observed. However, a critical performance analysis of selected correlations provides useful hints on the variation of the phenomenological flow boiling features induced by the combined effects of changing saturation temperature and evaporator diameter. CC-BY-4.0 http://creativecommons.org/licenses/by/4.0/ The Author(s) 2021 SzGeCERN Detectors and Experimental Techniques ARTICLE CERN Petagna, P CERN 121094 2021 Int. J. Heat Mass Transf. 172 2368564 2751256 http://cds.cern.ch/record/2809701/files/1-s2.0-S0017931021001976-main.pdf Fulltext 13 ARTICLE 2809590 SzGeCERN 20220810151115.0 DOI 10.18429/JACoW-ICALEPCS2021-MOPV045 oai:cds.cern.ch:2809590 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2076551 2022-05-16T12:43:37Z 2022-05-16T14:52:42Z marcxml Inspire 2076551 eng Ledeul, Adrien JACoW-00062475 adrien.ledeul@cern.ch CERN Data-Centric Web Infrastructure for CERN Radiation and Environmental Protection Monitoring 2022 6 p JACoW Supervision, Control and Data Acquisition (SCADA) systems generate large amounts of data over time. Analyzing collected data is essential to discover useful information, prevent failures, and generate reports. Facilitating access to data is of utmost importance to exploit the information generated by SCADA systems. CERN’s occupational Health & Safety and Environmental protection (HSE) Unit operates a web infrastructure allowing users of the Radiation and Environment Monitoring Unified Supervision (REMUS) to visualize and extract near-real-time and historical data from desktop and mobile devices. This application, REMUS Web, collects and combines data from multiple sources and presents it to the users in a format suitable for analysis. The web application and the SCADA system can operate independently thanks to a data-centric, loosely coupled architecture. They are connected through common data sources such as the open-source streaming platform Apache Kafka and Oracle Rdb. This paper describes the benefits of providing a feature-rich web application as a complement to control systems. Moreover, it details the underlying architecture of the solution and its capabilities. publication CC-BY-3.0 http://creativecommons.org/licenses/by/3.0/ publication JACoW © Feb 2022 by JACoW 2022 SzGeCERN Accelerators and Storage Rings JACoW controls JACoW SCADA JACoW radiation JACoW real-time JACoW framework ARTICLE CERN Chiriac, Catalina JACoW-00133539 chiriac.catalina@cern.ch CERN Segura, Gustavo JACoW-00004912 gustavo.segura@cern.ch CERN Sznajd, Jan JACoW-00136460 jan.sznajd@cern.ch CERN de la Cruz, Gonzalo JACoW-00133526 gonzalo.de.la.cruz.fernandez@cern.ch CERN 261-266 JACoW ICALEPCS2021 C21-10-16 2022 2368361 766613 http://cds.cern.ch/record/2809590/files/document.pdf 13 2782174 261-266 online20211018 ARTICLE ConferencePaper 2814018 20220712135003.0 oai:cds.cern.ch:2814018 cerncds:FULLTEXT KTTGROUP-PHO-MISC-2022-002 AUTHOR|(CDS)2723405 AUTHOR|(SzGeCERN)848310 Dasgupta, Priyanka priyanka.dasgupta@cern.ch CERN CIPEA Innovation Day 2022 Geneva CERN 2022-06-29 General Photo The CERN Innovation Programme on Environmental Applications (CIPEA) has the objective to harness CERN’s innovation potential in environmental technologies. The CIPEA Innovation Day on June 27th 2022 was the opportunity to share these new ideas, celebrate the inventiveness of CERN community and start discussing possible implementation strategies. Its morning session was held at CERN's main auditorium and afternoon session at IdeaSquare. CERN 2022 CERN EDS KTTGROUP SzGeCERN Miscellaneous SzGeCERN Knowledge & Technology Transfer CERN Knowledge & Technology Transfer CERN PHOTO 2375446 1704740 http://cds.cern.ch/record/2814018/files/DSC_0551.JPG 2375447 1803150 http://cds.cern.ch/record/2814018/files/DSC_0552.JPG 2375448 1342840 http://cds.cern.ch/record/2814018/files/DSC_0558.JPG 2375449 1538402 http://cds.cern.ch/record/2814018/files/DSC_0559_1.JPG 2375450 1368245 http://cds.cern.ch/record/2814018/files/DSC_0564.JPG 2375452 1359465 http://cds.cern.ch/record/2814018/files/DSC_0566.JPG 2375454 1346230 http://cds.cern.ch/record/2814018/files/DSC_0569.JPG 2375455 1990916 http://cds.cern.ch/record/2814018/files/DSC_0571.JPG 2375456 2017471 http://cds.cern.ch/record/2814018/files/DSC_0574.JPG 2375457 2505746 http://cds.cern.ch/record/2814018/files/DSC_0577.JPG 2375458 2799067 http://cds.cern.ch/record/2814018/files/DSC_0578.JPG 2375459 1966946 http://cds.cern.ch/record/2814018/files/DSC_0581.JPG 2375460 1592360 http://cds.cern.ch/record/2814018/files/DSC_0584.JPG 2375461 1094671 http://cds.cern.ch/record/2814018/files/DSC_0585.JPG 2375462 1717889 http://cds.cern.ch/record/2814018/files/DSC_0586.JPG 2375463 1840860 http://cds.cern.ch/record/2814018/files/DSC_0588.JPG 2375464 2057244 http://cds.cern.ch/record/2814018/files/DSC_0591.JPG 2375465 1700877 http://cds.cern.ch/record/2814018/files/DSC_0593.JPG 2375466 2205893 http://cds.cern.ch/record/2814018/files/DSC_0595.JPG 2375467 1684473 http://cds.cern.ch/record/2814018/files/DSC_0599.JPG 2375468 1510170 http://cds.cern.ch/record/2814018/files/DSC_0600.JPG 2375469 3231604 http://cds.cern.ch/record/2814018/files/DSC_0602.JPG 2375470 2018074 http://cds.cern.ch/record/2814018/files/DSC_0606.JPG 2375471 3259104 http://cds.cern.ch/record/2814018/files/DSC_0609.JPG 2375472 1786377 http://cds.cern.ch/record/2814018/files/DSC_0612.JPG 2375473 2412341 http://cds.cern.ch/record/2814018/files/DSC_0614.JPG 2375474 1569258 http://cds.cern.ch/record/2814018/files/DSC_0615.JPG 2375475 1519680 http://cds.cern.ch/record/2814018/files/DSC_0616.JPG 2375477 3339442 http://cds.cern.ch/record/2814018/files/IMG_20220627_102355.jpg 2375478 3553201 http://cds.cern.ch/record/2814018/files/IMG_20220627_111130.jpg 2375479 12151490 http://cds.cern.ch/record/2814018/files/IMG_20220627_140521.jpg 2375482 4042263 http://cds.cern.ch/record/2814018/files/IMG_20220627_160431.jpg 2375483 3858593 http://cds.cern.ch/record/2814018/files/IMG_20220627_162312.jpg 2375484 10822953 http://cds.cern.ch/record/2814018/files/IMG_20220627_162334.jpg 2375485 10766081 http://cds.cern.ch/record/2814018/files/IMG_20220627_165551.jpg 2375446 123075 http://cds.cern.ch/record/2814018/files/DSC_0551.jpg?subformat=icon-640 icon-640 2375446 382900 http://cds.cern.ch/record/2814018/files/DSC_0551.jpg?subformat=icon-1440 icon-1440 2375446 51355 http://cds.cern.ch/record/2814018/files/DSC_0551.jpg?subformat=icon-180 icon-180 2375447 320803 http://cds.cern.ch/record/2814018/files/DSC_0552.jpg?subformat=icon-1440 icon-1440 2375447 40167 http://cds.cern.ch/record/2814018/files/DSC_0552.jpg?subformat=icon-180 icon-180 2375447 96416 http://cds.cern.ch/record/2814018/files/DSC_0552.jpg?subformat=icon-640 icon-640 2375448 100603 http://cds.cern.ch/record/2814018/files/DSC_0558.jpg?subformat=icon-640 icon-640 2375448 304587 http://cds.cern.ch/record/2814018/files/DSC_0558.jpg?subformat=icon-1440 icon-1440 2375448 42387 http://cds.cern.ch/record/2814018/files/DSC_0558.jpg?subformat=icon-180 icon-180 2375449 115215 http://cds.cern.ch/record/2814018/files/DSC_0559_1.jpg?subformat=icon-640 icon-640 2375449 358640 http://cds.cern.ch/record/2814018/files/DSC_0559_1.jpg?subformat=icon-1440 icon-1440 2375449 46332 http://cds.cern.ch/record/2814018/files/DSC_0559_1.jpg?subformat=icon-180 icon-180 2375450 135180 http://cds.cern.ch/record/2814018/files/DSC_0564.jpg?subformat=icon-640 icon-640 2375450 438500 http://cds.cern.ch/record/2814018/files/DSC_0564.jpg?subformat=icon-1440 icon-1440 2375450 53510 http://cds.cern.ch/record/2814018/files/DSC_0564.jpg?subformat=icon-180 icon-180 2375452 118235 http://cds.cern.ch/record/2814018/files/DSC_0566.jpg?subformat=icon-640 icon-640 2375452 352372 http://cds.cern.ch/record/2814018/files/DSC_0566.jpg?subformat=icon-1440 icon-1440 2375452 48697 http://cds.cern.ch/record/2814018/files/DSC_0566.jpg?subformat=icon-180 icon-180 2375454 114823 http://cds.cern.ch/record/2814018/files/DSC_0569.jpg?subformat=icon-640 icon-640 2375454 355627 http://cds.cern.ch/record/2814018/files/DSC_0569.jpg?subformat=icon-1440 icon-1440 2375454 46786 http://cds.cern.ch/record/2814018/files/DSC_0569.jpg?subformat=icon-180 icon-180 2375455 145422 http://cds.cern.ch/record/2814018/files/DSC_0571.jpg?subformat=icon-640 icon-640 2375455 443926 http://cds.cern.ch/record/2814018/files/DSC_0571.jpg?subformat=icon-1440 icon-1440 2375455 58784 http://cds.cern.ch/record/2814018/files/DSC_0571.jpg?subformat=icon-180 icon-180 2375456 152511 http://cds.cern.ch/record/2814018/files/DSC_0574.jpg?subformat=icon-640 icon-640 2375456 440279 http://cds.cern.ch/record/2814018/files/DSC_0574.jpg?subformat=icon-1440 icon-1440 2375456 65319 http://cds.cern.ch/record/2814018/files/DSC_0574.jpg?subformat=icon-180 icon-180 2375457 132848 http://cds.cern.ch/record/2814018/files/DSC_0577.jpg?subformat=icon-640 icon-640 2375457 466190 http://cds.cern.ch/record/2814018/files/DSC_0577.jpg?subformat=icon-1440 icon-1440 2375457 52431 http://cds.cern.ch/record/2814018/files/DSC_0577.jpg?subformat=icon-180 icon-180 2375458 157289 http://cds.cern.ch/record/2814018/files/DSC_0578.jpg?subformat=icon-640 icon-640 2375458 509404 http://cds.cern.ch/record/2814018/files/DSC_0578.jpg?subformat=icon-1440 icon-1440 2375458 65415 http://cds.cern.ch/record/2814018/files/DSC_0578.jpg?subformat=icon-180 icon-180 2375459 195121 http://cds.cern.ch/record/2814018/files/DSC_0581.jpg?subformat=icon-640 icon-640 2375459 552730 http://cds.cern.ch/record/2814018/files/DSC_0581.jpg?subformat=icon-1440 icon-1440 2375459 78700 http://cds.cern.ch/record/2814018/files/DSC_0581.jpg?subformat=icon-180 icon-180 2375460 176550 http://cds.cern.ch/record/2814018/files/DSC_0584.jpg?subformat=icon-640 icon-640 2375460 503901 http://cds.cern.ch/record/2814018/files/DSC_0584.jpg?subformat=icon-1440 icon-1440 2375460 71857 http://cds.cern.ch/record/2814018/files/DSC_0584.jpg?subformat=icon-180 icon-180 2375461 145705 http://cds.cern.ch/record/2814018/files/DSC_0585.jpg?subformat=icon-640 icon-640 2375461 398271 http://cds.cern.ch/record/2814018/files/DSC_0585.jpg?subformat=icon-1440 icon-1440 2375461 61045 http://cds.cern.ch/record/2814018/files/DSC_0585.jpg?subformat=icon-180 icon-180 2375462 126502 http://cds.cern.ch/record/2814018/files/DSC_0586.jpg?subformat=icon-640 icon-640 2375462 371014 http://cds.cern.ch/record/2814018/files/DSC_0586.jpg?subformat=icon-1440 icon-1440 2375462 54013 http://cds.cern.ch/record/2814018/files/DSC_0586.jpg?subformat=icon-180 icon-180 2375463 164484 http://cds.cern.ch/record/2814018/files/DSC_0588.jpg?subformat=icon-640 icon-640 2375463 472210 http://cds.cern.ch/record/2814018/files/DSC_0588.jpg?subformat=icon-1440 icon-1440 2375463 67675 http://cds.cern.ch/record/2814018/files/DSC_0588.jpg?subformat=icon-180 icon-180 2375464 147163 http://cds.cern.ch/record/2814018/files/DSC_0591.jpg?subformat=icon-640 icon-640 2375464 435648 http://cds.cern.ch/record/2814018/files/DSC_0591.jpg?subformat=icon-1440 icon-1440 2375464 61441 http://cds.cern.ch/record/2814018/files/DSC_0591.jpg?subformat=icon-180 icon-180 2375465 106976 http://cds.cern.ch/record/2814018/files/DSC_0593.jpg?subformat=icon-640 icon-640 2375465 322874 http://cds.cern.ch/record/2814018/files/DSC_0593.jpg?subformat=icon-1440 icon-1440 2375465 47404 http://cds.cern.ch/record/2814018/files/DSC_0593.jpg?subformat=icon-180 icon-180 2375466 153883 http://cds.cern.ch/record/2814018/files/DSC_0595.jpg?subformat=icon-640 icon-640 2375466 441319 http://cds.cern.ch/record/2814018/files/DSC_0595.jpg?subformat=icon-1440 icon-1440 2375466 65991 http://cds.cern.ch/record/2814018/files/DSC_0595.jpg?subformat=icon-180 icon-180 2375467 164932 http://cds.cern.ch/record/2814018/files/DSC_0599.jpg?subformat=icon-640 icon-640 2375467 476350 http://cds.cern.ch/record/2814018/files/DSC_0599.jpg?subformat=icon-1440 icon-1440 2375467 66586 http://cds.cern.ch/record/2814018/files/DSC_0599.jpg?subformat=icon-180 icon-180 2375468 128419 http://cds.cern.ch/record/2814018/files/DSC_0600.jpg?subformat=icon-640 icon-640 2375468 358625 http://cds.cern.ch/record/2814018/files/DSC_0600.jpg?subformat=icon-1440 icon-1440 2375468 54743 http://cds.cern.ch/record/2814018/files/DSC_0600.jpg?subformat=icon-180 icon-180 2375469 207463 http://cds.cern.ch/record/2814018/files/DSC_0602.jpg?subformat=icon-640 icon-640 2375469 639486 http://cds.cern.ch/record/2814018/files/DSC_0602.jpg?subformat=icon-1440 icon-1440 2375469 81341 http://cds.cern.ch/record/2814018/files/DSC_0602.jpg?subformat=icon-180 icon-180 2375470 173127 http://cds.cern.ch/record/2814018/files/DSC_0606.jpg?subformat=icon-640 icon-640 2375470 483898 http://cds.cern.ch/record/2814018/files/DSC_0606.jpg?subformat=icon-1440 icon-1440 2375470 71177 http://cds.cern.ch/record/2814018/files/DSC_0606.jpg?subformat=icon-180 icon-180 2375471 178346 http://cds.cern.ch/record/2814018/files/DSC_0609.jpg?subformat=icon-640 icon-640 2375471 580169 http://cds.cern.ch/record/2814018/files/DSC_0609.jpg?subformat=icon-1440 icon-1440 2375471 70847 http://cds.cern.ch/record/2814018/files/DSC_0609.jpg?subformat=icon-180 icon-180 2375472 161049 http://cds.cern.ch/record/2814018/files/DSC_0612.jpg?subformat=icon-640 icon-640 2375472 458893 http://cds.cern.ch/record/2814018/files/DSC_0612.jpg?subformat=icon-1440 icon-1440 2375472 67271 http://cds.cern.ch/record/2814018/files/DSC_0612.jpg?subformat=icon-180 icon-180 2375473 129628 http://cds.cern.ch/record/2814018/files/DSC_0614.jpg?subformat=icon-640 icon-640 2375473 415727 http://cds.cern.ch/record/2814018/files/DSC_0614.jpg?subformat=icon-1440 icon-1440 2375473 50308 http://cds.cern.ch/record/2814018/files/DSC_0614.jpg?subformat=icon-180 icon-180 2375474 125583 http://cds.cern.ch/record/2814018/files/DSC_0615.jpg?subformat=icon-640 icon-640 2375474 380914 http://cds.cern.ch/record/2814018/files/DSC_0615.jpg?subformat=icon-1440 icon-1440 2375474 45165 http://cds.cern.ch/record/2814018/files/DSC_0615.jpg?subformat=icon-180 icon-180 2375475 145924 http://cds.cern.ch/record/2814018/files/DSC_0616.jpg?subformat=icon-640 icon-640 2375475 439599 http://cds.cern.ch/record/2814018/files/DSC_0616.jpg?subformat=icon-1440 icon-1440 2375475 56364 http://cds.cern.ch/record/2814018/files/DSC_0616.jpg?subformat=icon-180 icon-180 2375477 160966 http://cds.cern.ch/record/2814018/files/IMG_20220627_102355.jpg?subformat=icon-180 icon-180 2375477 242361 http://cds.cern.ch/record/2814018/files/IMG_20220627_102355.jpg?subformat=icon-640 icon-640 2375477 561156 http://cds.cern.ch/record/2814018/files/IMG_20220627_102355.jpg?subformat=icon-1440 icon-1440 2375478 165447 http://cds.cern.ch/record/2814018/files/IMG_20220627_111130.jpg?subformat=icon-180 icon-180 2375478 253689 http://cds.cern.ch/record/2814018/files/IMG_20220627_111130.jpg?subformat=icon-640 icon-640 2375478 602069 http://cds.cern.ch/record/2814018/files/IMG_20220627_111130.jpg?subformat=icon-1440 icon-1440 2375479 128111 http://cds.cern.ch/record/2814018/files/IMG_20220627_140521.jpg?subformat=icon-180 icon-180 2375479 228231 http://cds.cern.ch/record/2814018/files/IMG_20220627_140521.jpg?subformat=icon-640 icon-640 2375479 614884 http://cds.cern.ch/record/2814018/files/IMG_20220627_140521.jpg?subformat=icon-1440 icon-1440 2375482 193996 http://cds.cern.ch/record/2814018/files/IMG_20220627_160431.jpg?subformat=icon-180 icon-180 2375482 333518 http://cds.cern.ch/record/2814018/files/IMG_20220627_160431.jpg?subformat=icon-640 icon-640 2375482 794348 http://cds.cern.ch/record/2814018/files/IMG_20220627_160431.jpg?subformat=icon-1440 icon-1440 2375483 169078 http://cds.cern.ch/record/2814018/files/IMG_20220627_162312.jpg?subformat=icon-180 icon-180 2375483 268589 http://cds.cern.ch/record/2814018/files/IMG_20220627_162312.jpg?subformat=icon-640 icon-640 2375483 639672 http://cds.cern.ch/record/2814018/files/IMG_20220627_162312.jpg?subformat=icon-1440 icon-1440 2375484 142656 http://cds.cern.ch/record/2814018/files/IMG_20220627_162334.jpg?subformat=icon-180 icon-180 2375484 271325 http://cds.cern.ch/record/2814018/files/IMG_20220627_162334.jpg?subformat=icon-640 icon-640 2375484 688929 http://cds.cern.ch/record/2814018/files/IMG_20220627_162334.jpg?subformat=icon-1440 icon-1440 2375485 126544 http://cds.cern.ch/record/2814018/files/IMG_20220627_165551.jpg?subformat=icon-180 icon-180 2375485 231177 http://cds.cern.ch/record/2814018/files/IMG_20220627_165551.jpg?subformat=icon-640 icon-640 2375485 632686 http://cds.cern.ch/record/2814018/files/IMG_20220627_165551.jpg?subformat=icon-1440 icon-1440 priyanka.dasgupta@cern.ch n 202226 CERN <> 86 VISIBLE PHOTOKTTGROUP 2814009 20220712135010.0 oai:cds.cern.ch:2814009 cerncds:FULLTEXT KTTGROUP-PHO-LIFE-2022-001 AUTHOR|(CDS)2051396 AUTHOR|(SzGeCERN)649072 Marcelloni, Claudia claudia.marcelloni@cern.ch CERN CIPEA Innovation Day, afternoon sessions in IdeaSquare 2022 Geneva CERN 2022-06-27 General Photo The CERN Innovation Programme on Environmental Applications (CIPEA) has the objective to harness CERN’s innovation potential in environmental technologies. The CIPEA Innovation Day on June 27th 2022 was the opportunity to share these new ideas, celebrate the inventiveness of CERN community and start discussing possible implementation strategies. Its afternoon session was held at IdeaSquare. CERN 2022 CERN EDS KTTGROUP SzGeCERN Knowledge & Technology Transfer SzGeCERN Life at CERN CERN Knowledge & Technology Transfer CERN CERN and the environment | CERN et l&#039;environnement CERN innovation CERN Life at CERN CERN PHOTO 2375317 370214 http://cds.cern.ch/record/2814009/files/image001.jpg 2375318 390765 http://cds.cern.ch/record/2814009/files/image002.jpg 2375317 150373 http://cds.cern.ch/record/2814009/files/image001.jpg?subformat=icon-640 icon-640 2375317 382443 http://cds.cern.ch/record/2814009/files/image001.jpg?subformat=icon-1440 icon-1440 2375317 53505 http://cds.cern.ch/record/2814009/files/image001.jpg?subformat=icon-180 icon-180 2375318 139037 http://cds.cern.ch/record/2814009/files/image002.jpg?subformat=icon-640 icon-640 2375318 24306 http://cds.cern.ch/record/2814009/files/image002.jpg?subformat=icon-180 icon-180 2375318 405084 http://cds.cern.ch/record/2814009/files/image002.jpg?subformat=icon-1440 icon-1440 antoine.le.gall@cern.ch n 202226 Ideasquare CERN 86 VISIBLE PHOTOKTTGROUP 2813720 20251201182723.0 oai:cds.cern.ch:2813720 cerncds:TALK eng CERN. Geneva CIPEA Innovation Day CERN - 500/1-001 - Main Auditorium 2022-06-27T11:00:00 2022-06-27T11:15:00 1166768c16 EMP2: Environmental Modelling and Prediction Platform 2022 2022-06-27 1017 Streaming video CIPEA CIPEA Innovation Day 2022-06-27T11:00:00 CERN 2022 CIPEA Event TALK CERN Ferrari, Anna speaker CERN https://indico.cern.ch/event/1166768/contributions/4928874/ Talk details https://indico.cern.ch/event/1166768/ Event details MediaArchive /mnt/master_share/master_data/2022/1166768c16 Absolute master path MediaArchive /2022/1166768c16/1166768c16_en.vtt subtitle subtitle English MediaArchive /2022/1166768c16/1166768c16_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1166768c16/1166768c16-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1166768c16/1166768c16-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 129234 MediaArchive https://lecturemedia.cern.ch/2022/1166768c16/1166768c16-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 301299 MediaArchive https://lecturemedia.cern.ch/2022/1166768c16/1166768c16-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 767198 MediaArchive https://lecturemedia.cern.ch/2022/1166768c16/1166768c16-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1337654 MediaArchive https://lecturemedia.cern.ch/2022/1166768c16/1166768c16-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3998924 MediaArchive https://lecturemedia.cern.ch/2022/1166768c16/1166768c16-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 410860 MediaArchive https://lecturemedia.cern.ch/2022/1166768c16/1166768c16-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1200088 MediaArchive https://lecturemedia.cern.ch/2022/1166768c16/1166768c16-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 109271 helen.dixon-altaber@cern.ch Chesta, Enrico CERN 2022-05-30T11:59:15 2022-06-27T13:50:56 PUBLIC INDICO.1166768c16 https://videos.cern.ch/legacy/record/2813720 Indico CMTE MIGRATED 2813306 20220623223123.0 oai:cds.cern.ch:2813306 cerncds:FULLTEXT ATL-ITK-SLIDE-2022-240 eng ATL-COM-ITK-2022-022 The ATLAS collaboration Alvarez Feito, Diego AUTHOR|(CDS)2083113 AUTHOR|(SzGeCERN)752345 CERN d.alvarez.feito@cern.ch An environmental monitoring and control system for the ATLAS Outer Barrel QC and Integration 2022 CERN Geneva 23 Jun 2022 1 p The Inner Tracker (ITk) will be one of the major upgrades that the ATLAS experiment will undergo during the long shutdown 3 of the LHC. The ITk Pixel detector will be composed by an Inner System (IS), two Endcaps (EC) and an Outer Barrel (OB). The OB itself will be composed of more than 4,000 pixel modules, arranged on modular "local support" structures (longerons and half rings). In total, 158 local support structures will compose the OB. QC testing will be performed at the different stages of production (modules standalone, module loaded on cells and modules integration to loaded local supports, and after integration of several loaded local supports). Dedicated environmental boxes will be developed for the purpose, providing the required connectivity to services (CO2 cooling, power and data connectivity), light tightness and safe operation area during testing. In order to ensure the safety of operation of several modules at the loaded local support QC testing and integration stage, a dedicated DCS and Interlock system was developed at CERN, based entirely on industrial PLC solutions and providing a Scada WinCC-OA interface. Such system is meant to be employed in a standalone configuration during QC tests, while at the integration stage it is foreseen to be coupled to the specific interlock crate of the ITk. The system is meant to be modular and adaptable to the several different test configurations which are foreseen at the QC and integration stage. The talk will give an overview of the system and its capabilities as well as describe the validation of its operation in a representative use case, with a system test setup currently operating at CERN. SLIDE CERN CDS-Invenio WebSubmit Particle Physics - Experiment SzGeCERN ITK SzGeCERN CERN INTNOTE PRIVATLAS Kuehn, Susanne AUTHOR|(INSPIRE)INSPIRE-00218553 AUTHOR|(SzGeCERN)627977 AUTHOR|(CDS)2067810 CERN Susanne.Kuehn@cern.ch PUBLATLASSLIDE Pacifico, Nicola AUTHOR|(CDS)2077507 AUTHOR|(SzGeCERN)672812 CERN Nicola.Pacifico@cern.ch CERN LHC ATLAS Pettersen, Jarl Nysaeter AUTHOR|(CDS)2713469 AUTHOR|(SzGeCERN)846952 CERN jarl.nysaeter.pettersen@cern.ch PH-EP Pons, Xavier AUTHOR|(CDS)2067681 AUTHOR|(SzGeCERN)531402 CERN Xavier.Pons@cern.ch ATLAS Collaboration Vormwald, Benedikt AUTHOR|(CDS)2091649 AUTHOR|(SzGeCERN)677151 CERN benedikt.vormwald@cern.ch http://cds.cern.ch/record/2809462 Original Communication (restricted to ATLAS) 2374118 7888272 http://cds.cern.ch/record/2813306/files/ATL-ITK-SLIDE-2022-240.pdf nicola.pacifico@cern.ch n 202270 91 PUBLIC 000775862CER PUBLATLASSLIDE Slides 2813076 SzGeCERN 20251029180427.0 DOI IOP 10.1088/1748-0221/17/06/P06009 oai:cds.cern.ch:2813076 cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2095576 2022-06-20T10:29:43Z 2022-06-22T04:00:07Z marcxml Inspire 2095576 eng Tamburrino, A antonella.tamburrino@uniroma1.it ENEA, Frascati INFN, Italy Rome U., La Sapienza, Dip. di Astron. INFN — Laboratori Nazionali di Frascati, via E. Fermi 40, 00044 Frascati, Italy IOP Timepix3 detector for measuring radon decay products 2022 12 p IOP The present work is focused on the characterization of a Timepix3 (TPX3) based test system for the identification of particles produced by the complex decay chain of $^{222}$Rn. The detector used is composed of a pixelated Cadmium Telluride (CdTe) semiconductor (500 μm thick) bump-bonded on an ASIC TPX3 chip. Measurements were carried out at the NIXT Laboratory (ENEA Frascati) using radioactive sources and exploiting the presence of natural radon gas by collecting its decay products on the sensor surface. Estimation of the radon gas risk is one of the most important problems in radiation protection and has stimulated further development of new advanced methods suitable for detecting this gas in confined environments. A study of the spatial uniformity and high energy calibration is also presented and an improved cluster analysis is introduced. The performance highlighted in this study will allow a detailed and faster analysis of the radon products and may have an important impact on the environmental radioprotection applications. This paper describes the application and use of this test system to identify the different decay signatures and follow the temporal evolution of the Radon decay chain. publication CC-BY-4.0 CERN-RP: JINST https://creativecommons.org/licenses/by/4.0/ publication IOP Publishing Ltd and Sissa Medialab © 2022 IOP Publishing Ltd and Sissa Medialab 2022 SzGeCERN Detectors and Experimental Techniques author Particle identification methods author Heavy-ion detectors author Timing detectors author Particle tracking detectors (Solid-state detectors) ARTICLE CERN Claps, G ENEA, Frascati INFN, Italy INFN — Laboratori Nazionali di Frascati, via E. Fermi 40, 00044 Frascati, Italy Cordella, F ENEA, Frascati INFN, Italy INFN — Laboratori Nazionali di Frascati, via E. Fermi 40, 00044 Frascati, Italy Murtas, F INFN, Italy CERN CERN, CH-1211 Geneva 23, Switzerland Pacella, D ENEA, Frascati INFN, Italy INFN — Laboratori Nazionali di Frascati, via E. Fermi 40, 00044 Frascati, Italy P06009 06 JINST 17 2022 13 ARTICLE 2812678 20251029175916.0 oai:cds.cern.ch:2812678 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI APS 10.1103/PhysRevD.105.084041 publication arXiv oai:arXiv.org:2202.04658 oai:inspirehep.net:2030686 https://inspirehep.net/api/oai2d Inspire 2024-12-07T07:45:32Z 2024-12-08T03:00:06Z marcxml true Inspire 2030686 arXiv arXiv:2202.04658 gr-qc eng Correia, Miguel CERN Ecole Polytechnique, Lausanne CERN, Theoretical Physics Department, 1211 Geneva 23, Switzerland and Fields and Strings Laboratory, Institute of Physics, École polytechnique fédérale de Lausanne, Route de la Sorge, CH-1015 Lausanne, Switzerland APS Covariant formulation of relativistic mechanics 2022-04-15 2022-02-09 26 p APS Accretion disks surrounding compact objects, and other environmental factors, deviate satellites from geodetic motion. Unfortunately, setting up the equations of motion for such relativistic trajectories is not as simple as in Newtonian mechanics. The principle of general (or Lorentz) covariance and the mass-shell constraint make it difficult to parametrize physically adequate 4-forces. Here, we propose a solution to this old problem. We apply our framework to several conservative and dissipative forces. In particular, we propose covariant formulations for Hooke’s law and the constant force and compute the drag due to gravitational and hard-sphere collisions in dust, gas, and radiation media. We recover and covariantly extend known forces such as Epstein drag, Chandrasekhar’s dynamical friction, and Poynting-Robertson drag. Variable-mass effects are also considered, namely, Hoyle-Lyttleton accretion and the variable-mass rocket. We conclude with two applications: (1) The free-falling spring, where we find that Hooke’s law corrects the deviation equation by an effective anti–de Sitter tidal force and (2) black hole infall with drag. We numerically compute some trajectories on a Schwarzschild background supporting a dustlike accretion disk. arXiv Accretion disks surrounding compact objects, and other environmental factors, deviate satellites from geodetic motion. Unfortunately, setting up the equations of motion for such relativistic trajectories is not as simple as in Newtonian mechanics. The principle of general (or Lorentz) covariance and the mass-shell constraint make it difficult to parametrize physically adequate 4-forces. Here, we propose a solution to this old problem. We apply our framework to several conservative and dissipative forces. In particular, we propose covariant formulations for Hooke's law and the constant force, and compute the drag due to gravitational and hard-sphere collisions in dust, gas and radiation media. We recover and covariantly extend known forces such as Epstein drag, Chandrasekhar's dynamical friction and Poynting-Robertson drag. Variable-mass effects are also considered, namely Hoyle-Lyttleton accretion and the variable-mass rocket. We conclude with two applications: 1. The free-falling spring. We find that Hooke's law corrects the deviation equation by an effective Anti-de Sitter tidal force; 2. Black hole infall with drag. We numerically compute some trajectories on a Schwarzschild background supporting a dust-like accretion disk. publication CC BY-4.0 CERN-RP: APS https://creativecommons.org/licenses/by/4.0/ preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication authors 2022 CDS arXiv astro-ph.HE SzGeCERN Astrophysics and Astronomy arXiv gr-qc SzGeCERN General Relativity and Cosmology CERN ARTICLE 084041 publication 8 Phys. Rev. D 105 2022 2373392 265544 http://cds.cern.ch/record/2812678/files/orbits.png 00000 Equatorial orbits in a Schwarzschild background with an accretion disk (in gray). In units where $G=c=M=1$ the initial data is $r(0) = 20$, $r'(0) = 0.06$, $\phi(0) = 0$, $\phi'(0) = 0.009$, $t(0)= 0$ and $t'(0)$ is fixed by the mass-shell condition $u^2(0) = -1$. The corresponding geodesic is plotted in dashed red. Trajectories obtained by numerically solving \eqref{eq:eombh} until $\tau = 500$ are plotted in thick blue. From left to right: $\rho_0 \sigma / m = 10^{-3},10^{-2}, 10^{-1} $. In the top row the disk is rotating counterclockwise (`$+$' sign in eq. \eqref{eq:acU}), while in the bottom row the disk is rotating clockwise (`$-$' sign in eq. \eqref{eq:acU}). 2373393 541828 http://cds.cern.ch/record/2812678/files/PhysRevD.105.084041.pdf Publication 2373394 927467 http://cds.cern.ch/record/2812678/files/2202.04658.pdf Fulltext 13 ARTICLE 2812164 20251201182933.0 oai:cds.cern.ch:2812164 forSciTalks cerncds:TALK eng CERN. Geneva REMOTE: Geodetic metrology for future accelerators - Geodetic techniques for determining position and orientation with high accuracy CERN - 2022-06-14T11:00:00 2022-06-14T12:00:00 1073858 REMOTE: Geodetic metrology for future accelerators - Geodetic techniques for determining position and orientation with high accuracy 2022 2022-06-14 3533 Streaming video Academic Training Lecture Regular Programme 2021-2022 2022-06-14T11:00:00 <!--HTML--><p><strong>Abstract</strong></p> <p>A core service of applied geodesy&nbsp;are&nbsp;the determination of&nbsp;coordinates and orientation with respect to chosen reference frames and the derivation of information including quality indicators therefrom. This is required for digitizing the 3d world, for transferring plans and models from the virtual space into the real one, and for reliably quantifying deformations and rigid body motion over time. The lecture will give a brief overview about techniques and solutions. Emphasis will be put on instrumental, environmental&nbsp;and&nbsp;practical&nbsp;accuracy limitations for&nbsp;coordinate&nbsp;measurements using GNSS, total stations and other standard geodetic instruments, as well as&nbsp;on limitations&nbsp;for azimuth and coordinate transfer from above ground to underground infrastructure.</p> <p><strong>Short Bio Andreas Wieser</strong>&nbsp;</p> <p>Andreas Wieser is a professor of&nbsp;Geosensors&nbsp;and Engineering Geodesy at ETH Zurich since 2012. He has over&nbsp;20&nbsp;years of experience in research and teaching from&nbsp;Universities in Austria,&nbsp;Canada&nbsp;and Switzerland. He has been&nbsp;a product manager for GPS-based tolling. His&nbsp;research&nbsp;covers&nbsp;high-precision GNSS, parameter estimation, quality control and calibration, digitization of reality,&nbsp;geodetic monitoring, and the development of novel measurement systems.&nbsp;Since about ten years&nbsp;he&nbsp;focusses&nbsp;on the development of innovative laser-based sensor technology, and point-cloud processing. He is the Chair of the Society for the Calibration of Geodetic&nbsp;Devices, a member of the Swiss, Austrian and German Geodetic Commission, and of the Swiss Federal Surveyor’s Commission.</p> CERN 2022 Academic Training Lecture Regular Programme Event TALK CERN Wieser, Andreas speaker ETH Zurich https://indico.cern.ch/event/1073858/ Event details MediaArchive /mnt/master_share/master_data/2022/1073858 Absolute master path MediaArchive /2022/1073858/1073858_en.vtt subtitle subtitle English MediaArchive https://lecturemedia.cern.ch/2022/1073858/1073858-presenter-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1073858/1073858-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x982. Baudrate: 1084567 MediaArchive https://lecturemedia.cern.ch/2022/1073858/1073858-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x326. Baudrate: 230863 MediaArchive https://lecturemedia.cern.ch/2022/1073858/1073858-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1278x654. Baudrate: 614530 MediaArchive https://lecturemedia.cern.ch/2022/1073858/1073858-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x244. Baudrate: 97344 Wieser, Andreas ETH Zurich 2021-09-06T12:26:18 2022-06-14T12:18:08 PUBLIC INDICO.1073858 https://videos.cern.ch/legacy/record/2812164 Indico ACAD MIGRATED 2811451 20220614120556.0 oai:cds.cern.ch:2811451 cerncds:FULLTEXT OPEN-PHO-MISC-2022-009 AUTHOR|(CDS)2108409 AUTHOR|(SzGeCERN)372282 Balle, Christoph Christoph.Balle@cern.ch CERN Excerpts from the play "Lungs" by Duncan MacMillian : 'Let's talk climate, let's talk trees' 2022 Geneva CERN 2022-05-12 General Photo Reading of excerpts from the play "Lungs" by Duncan MacMillian followed by a debate on on consumption and social, environmental and natural values at the Globe for Science and Innovation. CERN 2022 Lecture d'extraits de la pièce "Lungs" de Duncan MacMillan suivie d'un débat sur la consommation et les valeurs sociales, environnementales et naturelles au Globe de la science et de l'innovation. CERN EDS OPEN SzGeCERN Open SzGeCERN Miscellaneous CERN PHOTO 2371224 16199223 http://cds.cern.ch/record/2811451/files/2022-05-12.picture.globe.debate_evening--let_talk_climate_talk_trees.balle.001.jpg 2371225 15460603 http://cds.cern.ch/record/2811451/files/2022-05-12.picture.globe.debate_evening--let_talk_climate_talk_trees.balle.003.jpg 2371226 15751770 http://cds.cern.ch/record/2811451/files/2022-05-12.picture.globe.debate_evening--let_talk_climate_talk_trees.balle.004.jpg 2371224 174586 http://cds.cern.ch/record/2811451/files/2022-05-12.picture.globe.debate_evening--let_talk_climate_talk_trees.balle.001.jpg?subformat=icon-640 icon-640 2371224 30801 http://cds.cern.ch/record/2811451/files/2022-05-12.picture.globe.debate_evening--let_talk_climate_talk_trees.balle.001.jpg?subformat=icon-180 icon-180 2371224 681010 http://cds.cern.ch/record/2811451/files/2022-05-12.picture.globe.debate_evening--let_talk_climate_talk_trees.balle.001.jpg?subformat=icon-1440 icon-1440 2371225 150053 http://cds.cern.ch/record/2811451/files/2022-05-12.picture.globe.debate_evening--let_talk_climate_talk_trees.balle.003.jpg?subformat=icon-640 icon-640 2371225 28623 http://cds.cern.ch/record/2811451/files/2022-05-12.picture.globe.debate_evening--let_talk_climate_talk_trees.balle.003.jpg?subformat=icon-180 icon-180 2371225 595094 http://cds.cern.ch/record/2811451/files/2022-05-12.picture.globe.debate_evening--let_talk_climate_talk_trees.balle.003.jpg?subformat=icon-1440 icon-1440 2371226 158588 http://cds.cern.ch/record/2811451/files/2022-05-12.picture.globe.debate_evening--let_talk_climate_talk_trees.balle.004.jpg?subformat=icon-640 icon-640 2371226 29057 http://cds.cern.ch/record/2811451/files/2022-05-12.picture.globe.debate_evening--let_talk_climate_talk_trees.balle.004.jpg?subformat=icon-180 icon-180 2371226 629201 http://cds.cern.ch/record/2811451/files/2022-05-12.picture.globe.debate_evening--let_talk_climate_talk_trees.balle.004.jpg?subformat=icon-1440 icon-1440 christoph.balle@cern.ch n 202222 Globe of Science and Innovation CERN 86 VISIBLE PHOTOOPEN 2811404 20230131114447.0 DOI IOP 10.1088/1748-0221/17/05/T05012 oai:cds.cern.ch:2811404 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2201.12139 oai:inspirehep.net:2021708 https://inspirehep.net/api/oai2d Inspire 2023-01-30T11:56:33Z 2023-01-31T03:03:36Z marcxml true Inspire 2021708 arXiv arXiv:2201.12139 physics.ins-det eng Alt, J. Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, 79104 Freiburg, Germany IOP First measurement of the surface tension of a liquid scintillator based on Linear Alkylbenzene (HYBLENE 113) 2022-05-11 2022-01-27 5 p IOP We measured the surface tension of linear alkylbenzene (LAB) HYBLENE 113 mixed with Diphenyloxazole (PPO) as well as of pure LAB HYBLENE 113 as part of material studies for the liquid-scintillator based surround background tagger (SBT) in the proposed SHiP experiment. The measurement was performed using the iron wire method and the surface tension for linear alkyl benzene HYBLENE 113 plus PPO was found to be (30.0 ± 0.6) mN/m 22.0 ± 0.5°C and for pure HYBLENE 113, (29.2 ± 0.6) mN/m at 21.0 ± 0.5°C. arXiv We measured the surface tension of linear alkylbenzene (LAB) HYBLENE 113 mixed with Diphenyloxazole (PPO) as well as of pure LAB HYBLENE 113 as part of material studies for the liquid-scintillator based surround background tagger (SBT) in the proposed SHiP experiment. The measurement was performed using the iron wire method and the surface tension for linear alkyl benzene HYBLENE 113 plus PPO was found to be $(30.0\pm0.6)$ mN/m $22.0\pm 0.5${\deg}C and for pure HYBLENE 113, $(29.2\pm 0.6)$ mN/m at $21.0\pm 0.5${\deg}C. publication CC-BY-4.0 IOP http://creativecommons.org/licenses/by/4.0/ preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2022 CDS technical report DOKIFILE:iop-2022-05-15-06-41-JINST17_04.05 For annual report arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques CERN ARTICLE CERN SPS SHiP Arutinov, D. Julich, Forschungszentrum Forschungszentrum Jülich GmbH, Central Institute of Engineering, Electronics and Analytics, 52425 Jülich, Germany Bezshyyko, O. Taras Shevchenko U. Faculty of Physics, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine Bretz, T. RWTH Aachen U. Physics Institute 3A, RWTH Aachen University, Sommerfeldstraße 16, 52074 Aachen, Germany Brignoli, A. Humboldt U., Berlin Institut für Physik, Humboldt-Universität zu Berlin, 12489 Berlin, Germany Conaboy, A. Humboldt U., Berlin Institut für Physik, Humboldt-Universität zu Berlin, 12489 Berlin, Germany Deucher, P. Mainz U., Inst. Phys. U. Mainz, PRISMA Institut für Physik and PRISMA Cluster of Excellence, Johannes Gutenberg Universität Mainz, Mainz, Germany De Paola, F. U. Naples (main) Department of Civil, Building and Environmental Engineering, Università di Napoli “Federico II”, Napoli, Italy del Giudice, G. U. Naples (main) Department of Civil, Building and Environmental Engineering, Università di Napoli “Federico II”, Napoli, Italy di Cristo, C. U. Naples (main) Department of Civil, Building and Environmental Engineering, Università di Napoli “Federico II”, Napoli, Italy Fecarotta, O. U. Naples (main) Department of Civil, Building and Environmental Engineering, Università di Napoli “Federico II”, Napoli, Italy Fiorillo, A. U. Naples (main) Department of Structures for Engineering and Architecture, Università di Napoli “Federico II”, Napoli, Italy Fischer, H. Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, 79104 Freiburg, Germany Glückler, H. Fachhochsch., Julich Forschungszentrum Jülich GmbH, Central Institute of Engineering, Electronics and Analytics, 52425 Jülich, Germany Grewing, C. Fachhochsch., Julich Forschungszentrum Jülich GmbH, Central Institute of Engineering, Electronics and Analytics, 52425 Jülich, Germany Hollnagel, A. Mainz U., Inst. Phys. U. Mainz, PRISMA Institut für Physik and PRISMA Cluster of Excellence, Johannes Gutenberg Universität Mainz, Mainz, Germany Lacker, H. Humboldt U., Berlin Institut für Physik, Humboldt-Universität zu Berlin, 12489 Berlin, Germany Miano, A. U. Naples (main) Department of Structures for Engineering and Architecture, Università di Napoli “Federico II”, Napoli, Italy Natour, G. RWTH Aachen U. Fachhochsch., Julich Physics Institute 3A, RWTH Aachen University, Sommerfeldstraße 16, 52074 Aachen, Germany Forschungszentrum Jülich GmbH, Central Institute of Engineering, Electronics and Analytics, 52425 Jülich, Germany Orlov, V. Taras Shevchenko U. Faculty of Physics, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine Prota, A. U. Naples (main) Department of Structures for Engineering and Architecture, Università di Napoli “Federico II”, Napoli, Italy Rehbein, F. RWTH Aachen U. Physics Institute 3A, RWTH Aachen University, Sommerfeldstraße 16, 52074 Aachen, Germany Reghunath, A. anupama.reghunath@physik.hu-berlin.de Humboldt U., Berlin Institut für Physik, Humboldt-Universität zu Berlin, 12489 Berlin, Germany Salzano, A. U. Naples (main) Department of Structures for Engineering and Architecture, Università di Napoli “Federico II”, Napoli, Italy Schaaf, M. Fachhochsch., Julich Forschungszentrum Jülich GmbH, Central Institute of Engineering, Electronics and Analytics, 52425 Jülich, Germany Scharf, C. Humboldt U., Berlin Institut für Physik, Humboldt-Universität zu Berlin, 12489 Berlin, Germany Schmidt, J. Humboldt U., Berlin Institut für Physik, Humboldt-Universität zu Berlin, 12489 Berlin, Germany Schumann, M. Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, 79104 Freiburg, Germany Vagts, A. Humboldt U., Berlin Institut für Physik, Humboldt-Universität zu Berlin, 12489 Berlin, Germany van Waasen, S. Fachhochsch., Julich Forschungszentrum Jülich GmbH, Central Institute of Engineering, Electronics and Analytics, 52425 Jülich, Germany Wurm, M. Mainz U. U. Mainz, PRISMA Institut für Physik and PRISMA Cluster of Excellence, Johannes Gutenberg Universität Mainz, Mainz, Germany SHiP SBT Collaboration T05012 05 JINST 17 2022 2371192 305491 http://cds.cern.ch/record/2811404/files/document.pdf Fulltext 2371193 302206 http://cds.cern.ch/record/2811404/files/2201.12139.pdf Fulltext 13 ARTICLE 2819985 20220728212421.0 oai:cds.cern.ch:2819985 cerncds:FULLTEXT ATL-ITK-PROC-2022-010 eng ATL-COM-ITK-2022-061 The ATLAS collaboration An environmental monitoring and control system for the ATLAS ITk Outer Barrel QC and Integration. Alvarez Feito, Diego AUTHOR|(CDS)2083113 AUTHOR|(SzGeCERN)752345 CERN d.alvarez.feito@cern.ch 2022 CERN Geneva 27 Jul 2022 2 p This paper describes the development of a system based on Programmable Logic Controllers (PLC) for safety interlocking and environmental monitoring during ITk Outer Barrel loaded local support QC and later integration. The system has been developed at CERN with a focus on scalability, maintainability and reliability, and is expected to be deployed at the different ITk OB loading and integration sites. PROC CERN CDS-Invenio WebSubmit Particle Physics - Experiment SzGeCERN ITK SzGeCERN CERN ATLAS CERN ITk CERN Interlock CERN Integration CERN QC CERN INTNOTE PRIVATLAS INTNOTEATLASPUBL CERN LHC ATLAS PH-EP ATLAS Collaboration http://cds.cern.ch/record/2815904 Original Communication (restricted to ATLAS) 2380801 1831515 http://cds.cern.ch/record/2819985/files/ATL-ITK-PROC-2022-010.pdf Stamped by WebSubmit: 27/07/2022 nicola.pacifico@cern.ch n 202270 Joos, Hans Ludwig AUTHOR|(CDS)2750479 AUTHOR|(SzGeCERN)851211 Georg August Universitaet Goettingen (DE) hans.ludwig.joos@cern.ch 91 Kuehn, Susanne AUTHOR|(CDS)2067810 AUTHOR|(SzGeCERN)627977 CERN Susanne.Kuehn@cern.ch PUBLIC Pacifico, Nicola AUTHOR|(CDS)2077507 AUTHOR|(SzGeCERN)672812 CERN Nicola.Pacifico@cern.ch 000776296CER INTNOTEATLASPUBL Pettersen, Jarl Nysaeter AUTHOR|(CDS)2713469 AUTHOR|(SzGeCERN)846952 CERN jarl.nysaeter.pettersen@cern.ch ConferencePaper Pons, Xavier AUTHOR|(CDS)2067681 AUTHOR|(SzGeCERN)531402 CERN Xavier.Pons@cern.ch Vormwald, Benedikt AUTHOR|(CDS)2091649 AUTHOR|(SzGeCERN)677151 CERN benedikt.vormwald@cern.ch 2816486 SzGeCERN 20230330172921.0 DOI Springer 10.1038/s41586-022-04605-4 oai:cds.cern.ch:2816486 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2085652 2022-07-22T15:01:43Z 2022-07-24T04:00:03Z marcxml Inspire 2085652 eng Wang, Mingyi ORCID:0000-0001-5782-2513 GRID:grid.147455.6 GRID:grid.20861.3d Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, USA Springer Synergistic HNO$_{3}$–H$_{2}$SO$_{4}$–NH$_{3}$ upper tropospheric particle formation 2022 7 p Springer New particle formation in the upper free troposphere is a major global source of cloud condensation nuclei (CCN). However, the precursor vapours that drive the process are not well understood. With experiments performed under upper tropospheric conditions in the CERN CLOUD chamber, we show that nitric acid, sulfuric acid and ammonia form particles synergistically, at rates that are orders of magnitude faster than those from any two of the three components. The importance of this mechanism depends on the availability of ammonia, which was previously thought to be efficiently scavenged by cloud droplets during convection. However, surprisingly high concentrations of ammonia and ammonium nitrate have recently been observed in the upper troposphere over the Asian monsoon region. Once particles have formed, co-condensation of ammonia and abundant nitric acid alone is sufficient to drive rapid growth to CCN sizes with only trace sulfate. Moreover, our measurements show that these CCN are also highly efficient ice nucleating particles—comparable to desert dust. Our model simulations confirm that ammonia is efficiently convected aloft during the Asian monsoon, driving rapid, multi-acid HNO$_{3}$–H$_{2}$SO$_{4}$–NH$_{3}$ nucleation in the upper troposphere and producing ice nucleating particles that spread across the mid-latitude Northern Hemisphere. publication CC-BY-4.0 Springer http://creativecommons.org/licenses/by/4.0/ publication The Author(s) © The Author(s) 2022 2022 ARTICLE CERN Xiao, Mao GRID:grid.5991.4 Bertozzi, Barbara ORCID:0000-0003-2571-6585 GRID:grid.7892.4 Marie, Guillaume ORCID:0000-0003-1454-0908 GRID:grid.7839.5 Rörup, Birte GRID:grid.7737.4 Schulze, Benjamin GRID:grid.20861.3d Bardakov, Roman GRID:grid.10548.38 Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden He, Xu-Cheng ORCID:0000-0002-7416-306X GRID:grid.7737.4 Shen, Jiali GRID:grid.7737.4 Scholz, Wiebke GRID:grid.5771.4 Marten, Ruby ORCID:0000-0003-0417-4350 GRID:grid.5991.4 Dada, Lubna GRID:grid.5991.4 GRID:grid.7737.4 Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki, Finland Baalbaki, Rima ORCID:0000-0002-4480-2107 GRID:grid.7737.4 Lopez, Brandon GRID:grid.147455.6 Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA Lamkaddam, Houssni GRID:grid.5991.4 Manninen, Hanna E GRID:grid.9132.9 Amorim, António GRID:grid.9983.b Ataei, Farnoush GRID:grid.424885.7 Bogert, Pia GRID:grid.7892.4 Brasseur, Zoé ORCID:0000-0001-5387-018X GRID:grid.7737.4 Caudillo, Lucía GRID:grid.7839.5 De Menezes, Louis-Philippe GRID:grid.9132.9 Duplissy, Jonathan ORCID:0000-0001-8819-0264 GRID:grid.7737.4 Helsinki Institute of Physics, University of Helsinki, Helsinki, Finland Ekman, Annica M L ORCID:0000-0002-5940-2114 GRID:grid.10548.38 Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden Finkenzeller, Henning GRID:grid.266190.a Carracedo, Loïc Gonzalez GRID:grid.10420.37 Granzin, Manuel GRID:grid.7839.5 Guida, Roberto GRID:grid.9132.9 Heinritzi, Martin GRID:grid.7839.5 Hofbauer, Victoria GRID:grid.147455.6 Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, USA Höhler, Kristina ORCID:0000-0001-5503-9816 GRID:grid.7892.4 Korhonen, Kimmo GRID:grid.9668.1 Krechmer, Jordan E ORCID:0000-0003-3642-0659 GRID:grid.276808.3 Kürten, Andreas GRID:grid.7839.5 Lehtipalo, Katrianne ORCID:0000-0002-1660-2706 GRID:grid.7737.4 GRID:grid.8657.c Finnish Meteorological Institute, Helsinki, Finland Mahfouz, Naser G A ORCID:0000-0002-7097-1430 GRID:grid.147455.6 GRID:grid.16750.35 Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJ, USA Makhmutov, Vladimir GRID:grid.425806.d GRID:grid.18763.3b Moscow Institute of Physics and Technology (National Research University), Moscow, Russia Massabò, Dario GRID:grid.5606.5 Mathot, Serge GRID:grid.9132.9 Mauldin, Roy L GRID:grid.147455.6 GRID:grid.266190.a Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, USA Mentler, Bernhard ORCID:0000-0003-3852-0397 GRID:grid.5771.4 Müller, Tatjana ORCID:0000-0001-6453-9134 GRID:grid.7839.5 GRID:grid.419509.0 Atmospheric Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany Onnela, Antti GRID:grid.9132.9 Petäjä, Tuukka ORCID:0000-0002-1881-9044 GRID:grid.7737.4 Philippov, Maxim ORCID:0000-0003-4302-0020 GRID:grid.425806.d Piedehierro, Ana A GRID:grid.8657.c Pozzer, Andrea ORCID:0000-0003-2440-6104 GRID:grid.419509.0 Ranjithkumar, Ananth GRID:grid.9909.9 Schervish, Meredith GRID:grid.147455.6 Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, USA Schobesberger, Siegfried GRID:grid.9668.1 Simon, Mario GRID:grid.7839.5 Stozhkov, Yuri GRID:grid.425806.d Tomé, António GRID:grid.7427.6 Umo, Nsikanabasi Silas GRID:grid.7892.4 Vogel, Franziska GRID:grid.7892.4 Wagner, Robert GRID:grid.7892.4 Wang, Dongyu S GRID:grid.5991.4 Weber, Stefan K ORCID:0000-0001-7408-9069 GRID:grid.9132.9 Welti, André ORCID:0000-0002-3549-1212 GRID:grid.8657.c Wu, Yusheng GRID:grid.7737.4 Zauner-Wieczorek, Marcel ORCID:0000-0002-0867-665X GRID:grid.7839.5 Sipilä, Mikko GRID:grid.7737.4 Winkler, Paul M GRID:grid.10420.37 Hansel, Armin ORCID:0000-0002-1062-2394 GRID:grid.5771.4 GRID:grid.425275.3 Ionicon Analytik Ges.m.b.H., Innsbruck, Austria Baltensperger, Urs GRID:grid.5991.4 Kulmala, Markku ORCID:0000-0003-3464-7825 GRID:grid.7737.4 GRID:grid.41156.37 GRID:grid.48166.3d Helsinki Institute of Physics, University of Helsinki, Helsinki, Finland Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China Flagan, Richard C ORCID:0000-0001-5690-770X GRID:grid.20861.3d Curtius, Joachim ORCID:0000-0003-3153-4630 GRID:grid.7839.5 Riipinen, Ilona GRID:grid.10548.38 Department of Environmental Science (ACES), Stockholm University, Stockholm, Sweden Gordon, Hamish ORCID:0000-0002-1822-3224 GRID:grid.147455.6 Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA Lelieveld, Jos ORCID:0000-0001-6307-3846 GRID:grid.419509.0 GRID:grid.426429.f Climate and Atmosphere Research Center, The Cyprus Institute, Nicosia, Cyprus El-Haddad, Imad ORCID:0000-0002-2461-7238 GRID:grid.5991.4 Volkamer, Rainer ORCID:0000-0002-0899-1369 GRID:grid.266190.a Worsnop, Douglas R GRID:grid.7737.4 GRID:grid.276808.3 Aerodyne Research, Inc., Billerica, MA, USA Christoudias, Theodoros ORCID:0000-0001-9050-3880 GRID:grid.426429.f Kirkby, Jasper ORCID:0000-0003-2341-9069 GRID:grid.7839.5 GRID:grid.9132.9 CERN CERN, the European Organization for Nuclear Research, Geneva, Switzerland Möhler, Ottmar GRID:grid.7892.4 Donahue, Neil M ORCID:0000-0003-3054-2364 GRID:grid.147455.6 Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, USA Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA 483-489 7910 Nature 605 2022 2380312 3398309 http://cds.cern.ch/record/2816486/files/document.pdf Fulltext 13 ARTICLE 2815323 SzGeCERN 20220709213427.0 DOI IEEE 10.1109/TASC.2022.3165949 oai:cds.cern.ch:2815323 cerncds:CERN https://inspirehep.net/api/oai2d 2022-07-09T04:00:15Z marcxml oai:inspirehep.net:2097334 2022-07-07T09:43:37Z Inspire 2097334 eng Bednarski, Mikolaj ORCID:0000-0003-4431-4223 Cracow, INP IEEE Characterization of the Copper Resistance in the LHC Main Dipole Bypass Diode Leads 2022 7 p IEEE A fundamental component of the quench protection system of the large hadron collider (LHC) superconducting dipole magnets are bypass diodes. During a quench, the high current powering the magnet coil is redirected through the parallel diode. The resistance of diode current lead contacts is essential due to the risk of overheat. There is no possibility to measure their resistances, as the superconducting magnet coil acts as a short-circuit. Those measurements are possible when the magnet is in the resistive state. The most important point is the contact surface between the magnet busbar and the diode current lead. The resistance of this contact is not possible to measure when the cryostat is closed, so an indirect method that includes the resistance of the copper parts has to be developed. This article describes the methodology of measurements and calculations and summarizes the results of the resistance measurements of copper current leads of the LHC dipole bypass diodes. The measurements have been performed in a wide temperature region, to reproduce different environmental parameters of the LHC. It was proven that the temperature of measured samples has a significant influence on obtained results and a systematic approach is essential. Precise values of the resistance parameters have been obtained and will be used in the future measurements of the quality of connection of those diodes and, in consequence, will be used in the quality assurance of the quench protection system. IEEE 2022 SzGeCERN Accelerators and Storage Rings author Resistance author Electrical resistance measurement author Superconducting magnets author Temperature measurement author Voltage measurement author Current measurement author Large Hadron Collider author accelerator magnets author busbars author contact resistance author copper author superconducting coils author superconducting magnets author copper resistance author LHC main dipole bypass diode author quench protection system author parallel diode author diode current lead contacts author superconducting magnet coil author resistive state author contact surface author magnet busbar author copper parts author LHC dipole author resistance parameters author copper current lead resistance measurements author large hadron collider superconducting dipole magnets author Contact resistance author electrical resistance measurement author LHC dipole magnet author LHC bypass diode author magnet protection author quality control author safety ARTICLE CERN CERN LHC Ludwin, Jaromir ORCID:0000-0002-6920-2001 Cracow, INP Wojas, Damian Cracow, INP Bednarek, Mateusz ORCID:0000-0001-9551-7720 CERN D’Angelo, Giorgio CERN 4005507 5 2022 IEEE Trans. Appl. Supercond. 32 13 ARTICLE 2814332 20251120051613.0 oai:cds.cern.ch:2814332 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2203.06525 oai:inspirehep.net:2051609 https://inspirehep.net/api/oai2d Inspire 2025-11-18T20:46:11Z 2025-11-20T03:00:18Z marcxml true Inspire 2051609 arXiv arXiv:2203.06525 physics.ins-det eng Black, K. ORCID:0000-0001-7320-5080 ROR:https://ror.org/01y2jtd41 U. Wisconsin, Madison (main) arXiv MPGDs for tracking and Muon detection at future high energy physics colliders 2022-03-12 84 p arXiv Contribution to Snowmass 2021 arXiv In the next years, the energy and intensity frontiers of the experimental Particle Physics will be pushed forward with the upgrade of existing accelerators (LHC at CERN) and the envisaged construction of new machines at energy scales up to hundreds TeV or with unprecedented intensity (FCC-hh, FCC-ee, ILC, Muon Collider). Large size, cost-effective, high-efficiency detection systems in high background environments are required in order to accomplish the physics program. MPGDs offer a diversity of technologies that allow them to meet the required performance challenges at future facilities thanks to the specific advantages that each technology provides. MPGDs allow stable operation, with environmentally friendly gas mixtures, at very high background particle flux with high detection efficiency and excellent spatial resolution. These features make MPGD one of the primary choices as precise muon tracking and trigger system in general-purpose detectors at future HEP colliders. In addition, the low material budget and the flexibility of the base material make MPGDs suitable for the development of very light, full cylindrical fine tracking inner trackers at lepton colliders. On-going R&Ds aim at pushing the detector performance at the limits of each technology. We are working in continuing to consolidate the construction and stable operation of large-size detectors, able to cope with large particle fluxes. In this white paper, we describe some of the most prominent MPGD technologies, their performance measurements, the challenges faced in the most recent applications, and the areas of improvement towards efficient tracking and Muon detection at future high energy physics colliders. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ L 2022-03-23 abs L 2022-03-27 printed physics.ins-det arXiv Detectors and Experimental Techniques SzGeCERN CERN PREPRINT Colaleo, A. ROR:https://ror.org/027ynra39 ROR:https://ror.org/022hq6c49 U. Bari (main) INFN, Bari Aimè, C. ORCID:0000-0003-0449-4717 ROR:https://ror.org/00s6t1f81 ROR:https://ror.org/01st30669 U. Pavia (main) INFN, Pavia Alviggi, M. ROR:https://ror.org/015kcdd40 Naples, Inst. U. Navale INFN, Naples Aruta, C. ROR:https://ror.org/027ynra39 ROR:https://ror.org/022hq6c49 U. Bari (main) INFN, Bari Bianco, M. ROR:https://ror.org/01ggx4157 CERN Balossino, I. ORCID:0000-0001-9646-4042 ROR:https://ror.org/00zs3y046 INFN, Ferrara Bencivenni, G. ROR:https://ror.org/049jf1a25 Frascati Bertani, M. ROR:https://ror.org/049jf1a25 Frascati Braghieri, A. ROR:https://ror.org/01st30669 INFN, Pavia Cafaro, V. ROR:https://ror.org/04j0x0h93 INFN, Bologna Calzaferri, S. ROR:https://ror.org/01st30669 INFN, Pavia Camerlingo, M.T. ORCID:0000-0002-9417-8613 ROR:https://ror.org/015kcdd40 Naples, Inst. U. Navale INFN, Naples Canale, V. ROR:https://ror.org/015kcdd40 Naples, Inst. U. Navale INFN, Naples Cibinetto, G. ROR:https://ror.org/00zs3y046 INFN, Ferrara Corbetta, M. ROR:https://ror.org/01ggx4157 CERN D'Amico, V. ROR:https://ror.org/05vf0dg29 ROR:https://ror.org/009wnjh50 Rome III U. INFN, Rome3 De Lucia, E. ROR:https://ror.org/049jf1a25 Frascati Della Pietra, M. ROR:https://ror.org/015kcdd40 Naples, Inst. U. Navale INFN, Naples Di Donato, C. ROR:https://ror.org/015kcdd40 Naples, Inst. U. Navale INFN, Naples Di Nardo, R. ROR:https://ror.org/05vf0dg29 ROR:https://ror.org/009wnjh50 Rome III U. INFN, Rome3 Domenici, D. ROR:https://ror.org/049jf1a25 Frascati Errico, F. ROR:https://ror.org/027ynra39 ROR:https://ror.org/022hq6c49 U. Bari (main) INFN, Bari Everaerts, P. ROR:https://ror.org/01y2jtd41 U. Wisconsin, Madison (main) Fallavollita, F. ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Farinelli, R. ROR:https://ror.org/00zs3y046 INFN, Ferrara Felici, G. ROR:https://ror.org/049jf1a25 Frascati Fiorina, D. ROR:https://ror.org/01st30669 INFN, Pavia Garzia, I. ROR:https://ror.org/00zs3y046 INFN, Ferrara Gatta, M. ROR:https://ror.org/049jf1a25 Frascati Giacomelli, P. ROR:https://ror.org/04j0x0h93 INFN, Bologna Giovannetti, M. ORCID:0000-0003-2135-9568 ROR:https://ror.org/049jf1a25 Frascati Gramigna, S. ROR:https://ror.org/00zs3y046 INFN, Ferrara Guida, R. ROR:https://ror.org/01ggx4157 CERN Hohlmann, M. ROR:https://ror.org/04atsbb87 Florida Inst. Tech. Iengo, P. ROR:https://ror.org/015kcdd40 ROR:https://ror.org/01ggx4157 INFN, Naples CERN Iodice, M. ROR:https://ror.org/009wnjh50 INFN, Rome3 Lavezzi, L. ROR:https://ror.org/01vj6ck58 INFN, Turin Maggi, M. ROR:https://ror.org/022hq6c49 INFN, Bari Mandelli, B. ROR:https://ror.org/01ggx4157 CERN Melchiorri, M. ROR:https://ror.org/00zs3y046 INFN, Ferrara Merlin, J.A. ROR:https://ror.org/05en5nh73 Seoul U. Mezzadri, G. ROR:https://ror.org/00zs3y046 INFN, Ferrara Montagna, P. ROR:https://ror.org/00s6t1f81 ROR:https://ror.org/01st30669 U. Pavia (main) INFN, Pavia Morello, G. ROR:https://ror.org/049jf1a25 Frascati Papalino, G. ROR:https://ror.org/049jf1a25 Frascati Pellecchia, A. ORCID:0000-0003-3279-6114 ROR:https://ror.org/027ynra39 ROR:https://ror.org/022hq6c49 U. Bari (main) INFN, Bari Petrucci, F. ROR:https://ror.org/05vf0dg29 ROR:https://ror.org/009wnjh50 Rome III U. INFN, Rome3 Lener, M. Poli ROR:https://ror.org/049jf1a25 Frascati Radogna, R. ROR:https://ror.org/027ynra39 ROR:https://ror.org/022hq6c49 U. Bari (main) INFN, Bari Riccardi, C. ROR:https://ror.org/00s6t1f81 ROR:https://ror.org/01st30669 U. Pavia (main) INFN, Pavia Rigoletti, M.G. ROR:https://ror.org/01ggx4157 CERN Salvini, P. ROR:https://ror.org/01st30669 INFN, Pavia Scodeggio, M. ROR:https://ror.org/00zs3y046 INFN, Ferrara Sekhniaidze, G. ROR:https://ror.org/015kcdd40 INFN, Naples Sessa, M. ROR:https://ror.org/05vf0dg29 ROR:https://ror.org/009wnjh50 Rome III U. INFN, Rome3 Simone, F.M. ORCID:0000-0002-1924-983X ROR:https://ror.org/022hq6c49 INFN, Bari Sharma, A. ROR:https://ror.org/027ynra39 ROR:https://ror.org/022hq6c49 U. Bari (main) INFN, Bari Stamerra, A. ROR:https://ror.org/027ynra39 ROR:https://ror.org/022hq6c49 U. Bari (main) INFN, Bari Vai, I. ROR:https://ror.org/01st30669 INFN, Pavia Venditti, R. ROR:https://ror.org/022hq6c49 INFN, Bari Verwilligen, P. ROR:https://ror.org/022hq6c49 INFN, Bari Vitulo, P. ROR:https://ror.org/00s6t1f81 ROR:https://ror.org/01st30669 U. Pavia (main) INFN, Pavia Zaza, A. ROR:https://ror.org/027ynra39 ROR:https://ror.org/022hq6c49 U. Bari (main) INFN, Bari C21-07-11 https://www.slac.stanford.edu/econf/C210711/ eConf 2375821 10731160 http://cds.cern.ch/record/2814332/files/cathode_prot.png 00000 Assembly of the prototype. From top left: the cathode completed mounted on the assembly machine; the rectified millifoam support for the $\upmu$-RWELL tiles; the manual insertion of the cathode on the cylindrical anode. 2375822 36287890 http://cds.cern.ch/record/2814332/files/2203.06525.pdf Fulltext 2375823 10089843 http://cds.cern.ch/record/2814332/files/anode_support.png 00001 Assembly of the prototype. From top left: the cathode completed mounted on the assembly machine; the rectified millifoam support for the $\upmu$-RWELL tiles; the manual insertion of the cathode on the cylindrical anode. 11 2722743 seattle20210711 ConferencePaper PREPRINT 2824539 20250515232336.0 oai:cds.cern.ch:2824539 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN Inspire 2916802 CERN-THESIS-2021-343 eng AUTHOR|(CDS)2096846 AUTHOR|(SzGeCERN)769838 Pimentel Das Neves, Tiago Filipe tiago.neves@cern.ch Ecole Polytechnique, Lausanne A Kilometre-range Distributed Relative Humidity Fibre Sensor 154 p Presented 04-03-2022 PhD Ecole Polytechnique, Lausanne 2021 Fibre optics sensors have been identified as very good candidates for environmental monitoring inside the silicon detectors operated at CERN’s Large Hadron Collider. The objective of this dissertation is the development of a Relative Humidity (RH) distributed fibre optic sensor, based on coherent Rayleigh scattering, for long-distance applications using phase-sensitive optical time-domain reflectometry technique, which is a technique that is gaining the attention of industry and academy due to its ultra-high sensitivity. Optical fibres are known to be intrinsically sensitive to temperature and strain; however the influence of humidity on coatings induces a secondary mechanical strain due to expansion/contraction when absorbing/desorbing water. Turning an optical fibre into a thermo-hygrometer requires a detailed investigation of the best coatings to measure RH and mitigate the cross-sensitivity with temperature. Several coatings were studied in order to find a fibre with an approximately constant humidity sensitivity at large range of temperature, as well as a purely temperature-sensitive optical fibre. Polyimide-coated fibres are the best candidates for RH sensing over a temperature range from -20 ° C to 50° C, while the standard acrylate-coated fibre have a surprisingly non-negligible humidity sensitivity but a completely different behaviour at different temperatures. Additionally, two families of humidity insensitive coated fibres were identified as excellent candidates for a pure temperature reference. The first is made of a multi-functional acrylate coating (Desolate) that provides a purely temperature-dependent measurement above 15°, with a negligible response at lower temperatures, while the second one uses a silicone composite that secures a complete immunity to humidity from -20°C to 50°C. After identifying the best pair of coated optical fibres, an in-field application case was devised and validated at CERN. The new sensor makes use of a pair composed by a polyimide- and a desolite-coated optical fibres to monitor temperature and RH inside a block of concrete since the earliest moment of its curing process. The proposed solution represents a breakthrough improvement in the civil engineering monitoring systems. CERN Doctoral Student Program CERN EDS SzGeCERN Engineering SzGeCERN Accelerators and Storage Rings CERN THESIS Not applicable Not applicable Not applicable Thévenaz, Luc dir. Ecole Polytechnique, Lausanne Petagna, Paolo dir. CERN EP 2383604 36296869 http://cds.cern.ch/record/2824539/files/CERN-THESIS-2021-343.pdf tiago.neves@cern.ch n 202232 a2022 14 PUBLIC https://repository.cern/legacy/record/2824539 THESIS MIGRATED 2823950 SzGeCERN 20220803230619.0 DOI IOP 10.1088/1748-0221/17/04/C04029 oai:cds.cern.ch:2823950 cerncds:CERN https://inspirehep.net/api/oai2d 2022-08-03T07:02:22Z marcxml oai:inspirehep.net:2075136 2022-08-02T14:30:15Z Inspire 2075136 eng Kundumattathil Mohanan, S sarath.mohanan@cern.ch CERN Wuppertal U. University of Wuppertal, Wuppertal, Germany IOP Towards the next generation of CERN radiation monitoring front end ASICs 2022 7 p IOP Radiation monitoring using ionisation chambers spans a wide spectrum of radiation fields from environmental monitors to ambient dose monitors near particle accelerators. Hence the output generated by these sensors can vary from few femtoamperes to microamperes. They require specific front-end electronics that can accurately measure the generated current across a wide dynamic range. This work presents the design of an ASIC that can measure currents from −6 fA to −20 μA without any band switching. By employing two different current measurement methodologies — direct slope measurement method and charge balancing based current to frequency converter method, an accuracy of ±6% is achieved across the entire measurement range. The ASIC was fabricated in the 8 inch fab of TSMC 130 nm technology. The designed ASIC aims to replace the front end electronics of radiation monitors at CERN. publication CC-BY-4.0 IOP https://creativecommons.org/licenses/by/4.0/ IOP Publishing Ltd and Sissa Medialab publication © 2022 IOP Publishing Ltd and Sissa Medialab 2022 SzGeCERN Detectors and Experimental Techniques author Analogue electronic circuits author CMOS readout of gaseous detectors author Front-end electronics for detector readout ARTICLE CERN Boukabache, H CERN Perrin, D CERN Pfeiffer, U Wuppertal U. C04029 04 2022 JINST 17 C21-09-20.8 13 2780970 online20210920b C04029 ARTICLE ConferencePaper 2834976 20221114083919.0 oai:cds.cern.ch:2834976 cerncds:FULLTEXT CERN-PHOTO-202209-162 Fichet, Jacques Herve AUTHOR|(CDS)2068020 AUTHOR|(SzGeCERN)586185 CERN Jacques.Fichet@cern.ch Installation of ABB smart sensors on CERN's cooling and ventilation system 2022 Geneva CERN 2022-09-29 General Photo public In line with CERN’s commitment to managing its environmental footprint and developing technologies that can help society towards a better planet, an innovation partnership with ABB Motion, a global technology leader in suppling world-class drives and motors, has been launched with the aim of optimizing the laboratory’s cooling and ventilation infrastructure to reduce its energy consumption. Results and best practices from this collaboration will be shared publicly to support industries and large-scale research facilities around the world in becoming more energy efficient. CERN 2022 CERN EDS PHOTOLAB SzGeCERN Knowledge Transfer SzGeCERN Photolab KT CERN ABB CERN sensor CERN Knowledge transfer CERN CERN and the environment | CERN et l'environnement CERN Knowledge & Technology Transfer CERN CERN PHOTO CERN to partner with industry https://knowledgetransfer.web.cern.ch/news/news/cern-partner-industry-innovation-reduce-environmental-impact 2397836 38654250 http://cds.cern.ch/record/2834976/files/A5-velo2-36.jpg 2397837 26861623 http://cds.cern.ch/record/2834976/files/A5-velo2-37.jpg 2397838 34188956 http://cds.cern.ch/record/2834976/files/A5-velo2-38.jpg 2397839 38384602 http://cds.cern.ch/record/2834976/files/A5-velo2-39.jpg 2397840 40367291 http://cds.cern.ch/record/2834976/files/A5-velo2-40.jpg 2397841 43790341 http://cds.cern.ch/record/2834976/files/A5-velo2-41.jpg 2397842 30924608 http://cds.cern.ch/record/2834976/files/A5-velo2-42.jpg 2397843 29593576 http://cds.cern.ch/record/2834976/files/A5-velo2-43.jpg 2397844 32179889 http://cds.cern.ch/record/2834976/files/A5-velo2-44.jpg 2397845 25821256 http://cds.cern.ch/record/2834976/files/A5-velo2-45.jpg 2397846 26273014 http://cds.cern.ch/record/2834976/files/A5-velo2-46.jpg 2397847 34365003 http://cds.cern.ch/record/2834976/files/A5-velo2-47.jpg 2397848 35261344 http://cds.cern.ch/record/2834976/files/A5-velo2-48.jpg 2397850 35083836 http://cds.cern.ch/record/2834976/files/A5-velo2-50.jpg 2397851 46588196 http://cds.cern.ch/record/2834976/files/A5-velo2-51.jpg 2397852 16087801 http://cds.cern.ch/record/2834976/files/A5-velo2-52.jpg 2397853 32089955 http://cds.cern.ch/record/2834976/files/A5-velo2-53.jpg 2397854 34023158 http://cds.cern.ch/record/2834976/files/A5-velo2-54.jpg 2397855 33560149 http://cds.cern.ch/record/2834976/files/A5-velo2-55.jpg 2397856 41910906 http://cds.cern.ch/record/2834976/files/A5-velo2-56.jpg 2397857 54809152 http://cds.cern.ch/record/2834976/files/A5-velo2-16.jpg 2397858 51515890 http://cds.cern.ch/record/2834976/files/A5-velo2-17.jpg 2397859 47256475 http://cds.cern.ch/record/2834976/files/A5-velo2-18.jpg 2397860 37573226 http://cds.cern.ch/record/2834976/files/A5-velo2-19.jpg 2397861 37684420 http://cds.cern.ch/record/2834976/files/A5-velo2-20.jpg 2397862 65433599 http://cds.cern.ch/record/2834976/files/A5-velo2-21.jpg 2397863 54132998 http://cds.cern.ch/record/2834976/files/A5-velo2-22.jpg 2397864 49653170 http://cds.cern.ch/record/2834976/files/A5-velo2-23.jpg 2397865 43263320 http://cds.cern.ch/record/2834976/files/A5-velo2-24.jpg 2397866 36733875 http://cds.cern.ch/record/2834976/files/A5-velo2-25.jpg 2397867 39614740 http://cds.cern.ch/record/2834976/files/A5-velo2-26.jpg 2397868 37597746 http://cds.cern.ch/record/2834976/files/A5-velo2-28.jpg 2397869 41306316 http://cds.cern.ch/record/2834976/files/A5-velo2-29.jpg 2397870 37428671 http://cds.cern.ch/record/2834976/files/A5-velo2-30.jpg 2397871 33724305 http://cds.cern.ch/record/2834976/files/A5-velo2-31.jpg 2397872 36689340 http://cds.cern.ch/record/2834976/files/A5-velo2-32.jpg 2397873 38589890 http://cds.cern.ch/record/2834976/files/A5-velo2-33.jpg 2397874 38379774 http://cds.cern.ch/record/2834976/files/A5-velo2-34.jpg 2397875 59227523 http://cds.cern.ch/record/2834976/files/A5-velo2-35.jpg 2397836 231860 http://cds.cern.ch/record/2834976/files/A5-velo2-36.jpg?subformat=icon-640 icon-640 2397836 68945 http://cds.cern.ch/record/2834976/files/A5-velo2-36.jpg?subformat=icon-180 icon-180 2397836 938443 http://cds.cern.ch/record/2834976/files/A5-velo2-36.jpg?subformat=icon-1440 icon-1440 2397837 165181 http://cds.cern.ch/record/2834976/files/A5-velo2-37.jpg?subformat=icon-640 icon-640 2397837 52308 http://cds.cern.ch/record/2834976/files/A5-velo2-37.jpg?subformat=icon-180 icon-180 2397837 663254 http://cds.cern.ch/record/2834976/files/A5-velo2-37.jpg?subformat=icon-1440 icon-1440 2397838 114491 http://cds.cern.ch/record/2834976/files/A5-velo2-38.jpg?subformat=icon-180 icon-180 2397838 2434729 http://cds.cern.ch/record/2834976/files/A5-velo2-38.jpg?subformat=icon-1440 icon-1440 2397838 562177 http://cds.cern.ch/record/2834976/files/A5-velo2-38.jpg?subformat=icon-640 icon-640 2397839 203858 http://cds.cern.ch/record/2834976/files/A5-velo2-39.jpg?subformat=icon-640 icon-640 2397839 59283 http://cds.cern.ch/record/2834976/files/A5-velo2-39.jpg?subformat=icon-180 icon-180 2397839 893182 http://cds.cern.ch/record/2834976/files/A5-velo2-39.jpg?subformat=icon-1440 icon-1440 2397840 1339347 http://cds.cern.ch/record/2834976/files/A5-velo2-40.jpg?subformat=icon-1440 icon-1440 2397840 360696 http://cds.cern.ch/record/2834976/files/A5-velo2-40.jpg?subformat=icon-640 icon-640 2397840 89201 http://cds.cern.ch/record/2834976/files/A5-velo2-40.jpg?subformat=icon-180 icon-180 2397841 1111546 http://cds.cern.ch/record/2834976/files/A5-velo2-41.jpg?subformat=icon-1440 icon-1440 2397841 287291 http://cds.cern.ch/record/2834976/files/A5-velo2-41.jpg?subformat=icon-640 icon-640 2397841 80145 http://cds.cern.ch/record/2834976/files/A5-velo2-41.jpg?subformat=icon-180 icon-180 2397842 133880 http://cds.cern.ch/record/2834976/files/A5-velo2-42.jpg?subformat=icon-180 icon-180 2397842 2484176 http://cds.cern.ch/record/2834976/files/A5-velo2-42.jpg?subformat=icon-1440 icon-1440 2397842 636330 http://cds.cern.ch/record/2834976/files/A5-velo2-42.jpg?subformat=icon-640 icon-640 2397843 106398 http://cds.cern.ch/record/2834976/files/A5-velo2-43.jpg?subformat=icon-180 icon-180 2397843 1653218 http://cds.cern.ch/record/2834976/files/A5-velo2-43.jpg?subformat=icon-1440 icon-1440 2397843 448348 http://cds.cern.ch/record/2834976/files/A5-velo2-43.jpg?subformat=icon-640 icon-640 2397844 242675 http://cds.cern.ch/record/2834976/files/A5-velo2-44.jpg?subformat=icon-640 icon-640 2397844 69938 http://cds.cern.ch/record/2834976/files/A5-velo2-44.jpg?subformat=icon-180 icon-180 2397844 919863 http://cds.cern.ch/record/2834976/files/A5-velo2-44.jpg?subformat=icon-1440 icon-1440 2397845 258423 http://cds.cern.ch/record/2834976/files/A5-velo2-45.jpg?subformat=icon-640 icon-640 2397845 73601 http://cds.cern.ch/record/2834976/files/A5-velo2-45.jpg?subformat=icon-180 icon-180 2397845 961985 http://cds.cern.ch/record/2834976/files/A5-velo2-45.jpg?subformat=icon-1440 icon-1440 2397846 1102431 http://cds.cern.ch/record/2834976/files/A5-velo2-46.jpg?subformat=icon-1440 icon-1440 2397846 297101 http://cds.cern.ch/record/2834976/files/A5-velo2-46.jpg?subformat=icon-640 icon-640 2397846 82141 http://cds.cern.ch/record/2834976/files/A5-velo2-46.jpg?subformat=icon-180 icon-180 2397847 1183285 http://cds.cern.ch/record/2834976/files/A5-velo2-47.jpg?subformat=icon-1440 icon-1440 2397847 328555 http://cds.cern.ch/record/2834976/files/A5-velo2-47.jpg?subformat=icon-640 icon-640 2397847 83336 http://cds.cern.ch/record/2834976/files/A5-velo2-47.jpg?subformat=icon-180 icon-180 2397848 1278184 http://cds.cern.ch/record/2834976/files/A5-velo2-48.jpg?subformat=icon-1440 icon-1440 2397848 357140 http://cds.cern.ch/record/2834976/files/A5-velo2-48.jpg?subformat=icon-640 icon-640 2397848 88544 http://cds.cern.ch/record/2834976/files/A5-velo2-48.jpg?subformat=icon-180 icon-180 2397850 1642994 http://cds.cern.ch/record/2834976/files/A5-velo2-50.jpg?subformat=icon-1440 icon-1440 2397850 354187 http://cds.cern.ch/record/2834976/files/A5-velo2-50.jpg?subformat=icon-640 icon-640 2397850 86978 http://cds.cern.ch/record/2834976/files/A5-velo2-50.jpg?subformat=icon-180 icon-180 2397851 1054248 http://cds.cern.ch/record/2834976/files/A5-velo2-51.jpg?subformat=icon-1440 icon-1440 2397851 259942 http://cds.cern.ch/record/2834976/files/A5-velo2-51.jpg?subformat=icon-640 icon-640 2397851 73687 http://cds.cern.ch/record/2834976/files/A5-velo2-51.jpg?subformat=icon-180 icon-180 2397852 135417 http://cds.cern.ch/record/2834976/files/A5-velo2-52.jpg?subformat=icon-180 icon-180 2397852 2877903 http://cds.cern.ch/record/2834976/files/A5-velo2-52.jpg?subformat=icon-1440 icon-1440 2397852 725872 http://cds.cern.ch/record/2834976/files/A5-velo2-52.jpg?subformat=icon-640 icon-640 2397853 1361697 http://cds.cern.ch/record/2834976/files/A5-velo2-53.jpg?subformat=icon-1440 icon-1440 2397853 359782 http://cds.cern.ch/record/2834976/files/A5-velo2-53.jpg?subformat=icon-640 icon-640 2397853 87192 http://cds.cern.ch/record/2834976/files/A5-velo2-53.jpg?subformat=icon-180 icon-180 2397854 238994 http://cds.cern.ch/record/2834976/files/A5-velo2-54.jpg?subformat=icon-640 icon-640 2397854 66171 http://cds.cern.ch/record/2834976/files/A5-velo2-54.jpg?subformat=icon-180 icon-180 2397854 924810 http://cds.cern.ch/record/2834976/files/A5-velo2-54.jpg?subformat=icon-1440 icon-1440 2397855 1020064 http://cds.cern.ch/record/2834976/files/A5-velo2-55.jpg?subformat=icon-1440 icon-1440 2397855 264278 http://cds.cern.ch/record/2834976/files/A5-velo2-55.jpg?subformat=icon-640 icon-640 2397855 70594 http://cds.cern.ch/record/2834976/files/A5-velo2-55.jpg?subformat=icon-180 icon-180 2397856 2315195 http://cds.cern.ch/record/2834976/files/A5-velo2-56.jpg?subformat=icon-1440 icon-1440 2397856 474126 http://cds.cern.ch/record/2834976/files/A5-velo2-56.jpg?subformat=icon-640 icon-640 2397856 93513 http://cds.cern.ch/record/2834976/files/A5-velo2-56.jpg?subformat=icon-180 icon-180 2397857 1141945 http://cds.cern.ch/record/2834976/files/A5-velo2-16.jpg?subformat=icon-1440 icon-1440 2397857 235928 http://cds.cern.ch/record/2834976/files/A5-velo2-16.jpg?subformat=icon-640 icon-640 2397857 60805 http://cds.cern.ch/record/2834976/files/A5-velo2-16.jpg?subformat=icon-180 icon-180 2397858 1090220 http://cds.cern.ch/record/2834976/files/A5-velo2-17.jpg?subformat=icon-1440 icon-1440 2397858 234943 http://cds.cern.ch/record/2834976/files/A5-velo2-17.jpg?subformat=icon-640 icon-640 2397858 62706 http://cds.cern.ch/record/2834976/files/A5-velo2-17.jpg?subformat=icon-180 icon-180 2397859 1090662 http://cds.cern.ch/record/2834976/files/A5-velo2-18.jpg?subformat=icon-1440 icon-1440 2397859 256558 http://cds.cern.ch/record/2834976/files/A5-velo2-18.jpg?subformat=icon-640 icon-640 2397859 68919 http://cds.cern.ch/record/2834976/files/A5-velo2-18.jpg?subformat=icon-180 icon-180 2397860 109155 http://cds.cern.ch/record/2834976/files/A5-velo2-19.jpg?subformat=icon-180 icon-180 2397860 2392721 http://cds.cern.ch/record/2834976/files/A5-velo2-19.jpg?subformat=icon-1440 icon-1440 2397860 555747 http://cds.cern.ch/record/2834976/files/A5-velo2-19.jpg?subformat=icon-640 icon-640 2397861 105502 http://cds.cern.ch/record/2834976/files/A5-velo2-20.jpg?subformat=icon-180 icon-180 2397861 2336275 http://cds.cern.ch/record/2834976/files/A5-velo2-20.jpg?subformat=icon-1440 icon-1440 2397861 530304 http://cds.cern.ch/record/2834976/files/A5-velo2-20.jpg?subformat=icon-640 icon-640 2397862 1396123 http://cds.cern.ch/record/2834976/files/A5-velo2-21.jpg?subformat=icon-1440 icon-1440 2397862 266775 http://cds.cern.ch/record/2834976/files/A5-velo2-21.jpg?subformat=icon-640 icon-640 2397862 62178 http://cds.cern.ch/record/2834976/files/A5-velo2-21.jpg?subformat=icon-180 icon-180 2397863 1296487 http://cds.cern.ch/record/2834976/files/A5-velo2-22.jpg?subformat=icon-1440 icon-1440 2397863 299917 http://cds.cern.ch/record/2834976/files/A5-velo2-22.jpg?subformat=icon-640 icon-640 2397863 76352 http://cds.cern.ch/record/2834976/files/A5-velo2-22.jpg?subformat=icon-180 icon-180 2397864 1287352 http://cds.cern.ch/record/2834976/files/A5-velo2-23.jpg?subformat=icon-1440 icon-1440 2397864 315696 http://cds.cern.ch/record/2834976/files/A5-velo2-23.jpg?subformat=icon-640 icon-640 2397864 78305 http://cds.cern.ch/record/2834976/files/A5-velo2-23.jpg?subformat=icon-180 icon-180 2397865 1201274 http://cds.cern.ch/record/2834976/files/A5-velo2-24.jpg?subformat=icon-1440 icon-1440 2397865 309410 http://cds.cern.ch/record/2834976/files/A5-velo2-24.jpg?subformat=icon-640 icon-640 2397865 75180 http://cds.cern.ch/record/2834976/files/A5-velo2-24.jpg?subformat=icon-180 icon-180 2397866 2178622 http://cds.cern.ch/record/2834976/files/A5-velo2-25.jpg?subformat=icon-1440 icon-1440 2397866 468901 http://cds.cern.ch/record/2834976/files/A5-velo2-25.jpg?subformat=icon-640 icon-640 2397866 84002 http://cds.cern.ch/record/2834976/files/A5-velo2-25.jpg?subformat=icon-180 icon-180 2397867 2225190 http://cds.cern.ch/record/2834976/files/A5-velo2-26.jpg?subformat=icon-1440 icon-1440 2397867 467938 http://cds.cern.ch/record/2834976/files/A5-velo2-26.jpg?subformat=icon-640 icon-640 2397867 85439 http://cds.cern.ch/record/2834976/files/A5-velo2-26.jpg?subformat=icon-180 icon-180 2397868 217870 http://cds.cern.ch/record/2834976/files/A5-velo2-28.jpg?subformat=icon-640 icon-640 2397868 59409 http://cds.cern.ch/record/2834976/files/A5-velo2-28.jpg?subformat=icon-180 icon-180 2397868 901398 http://cds.cern.ch/record/2834976/files/A5-velo2-28.jpg?subformat=icon-1440 icon-1440 2397869 195292 http://cds.cern.ch/record/2834976/files/A5-velo2-29.jpg?subformat=icon-640 icon-640 2397869 54249 http://cds.cern.ch/record/2834976/files/A5-velo2-29.jpg?subformat=icon-180 icon-180 2397869 862131 http://cds.cern.ch/record/2834976/files/A5-velo2-29.jpg?subformat=icon-1440 icon-1440 2397870 211193 http://cds.cern.ch/record/2834976/files/A5-velo2-30.jpg?subformat=icon-640 icon-640 2397870 60112 http://cds.cern.ch/record/2834976/files/A5-velo2-30.jpg?subformat=icon-180 icon-180 2397870 876552 http://cds.cern.ch/record/2834976/files/A5-velo2-30.jpg?subformat=icon-1440 icon-1440 2397871 168617 http://cds.cern.ch/record/2834976/files/A5-velo2-31.jpg?subformat=icon-640 icon-640 2397871 48810 http://cds.cern.ch/record/2834976/files/A5-velo2-31.jpg?subformat=icon-180 icon-180 2397871 740936 http://cds.cern.ch/record/2834976/files/A5-velo2-31.jpg?subformat=icon-1440 icon-1440 2397872 180493 http://cds.cern.ch/record/2834976/files/A5-velo2-32.jpg?subformat=icon-640 icon-640 2397872 49954 http://cds.cern.ch/record/2834976/files/A5-velo2-32.jpg?subformat=icon-180 icon-180 2397872 805540 http://cds.cern.ch/record/2834976/files/A5-velo2-32.jpg?subformat=icon-1440 icon-1440 2397873 1263682 http://cds.cern.ch/record/2834976/files/A5-velo2-33.jpg?subformat=icon-1440 icon-1440 2397873 322478 http://cds.cern.ch/record/2834976/files/A5-velo2-33.jpg?subformat=icon-640 icon-640 2397873 78524 http://cds.cern.ch/record/2834976/files/A5-velo2-33.jpg?subformat=icon-180 icon-180 2397874 1238786 http://cds.cern.ch/record/2834976/files/A5-velo2-34.jpg?subformat=icon-1440 icon-1440 2397874 323886 http://cds.cern.ch/record/2834976/files/A5-velo2-34.jpg?subformat=icon-640 icon-640 2397874 79631 http://cds.cern.ch/record/2834976/files/A5-velo2-34.jpg?subformat=icon-180 icon-180 2397875 1434521 http://cds.cern.ch/record/2834976/files/A5-velo2-35.jpg?subformat=icon-1440 icon-1440 2397875 333921 http://cds.cern.ch/record/2834976/files/A5-velo2-35.jpg?subformat=icon-640 icon-640 2397875 78961 http://cds.cern.ch/record/2834976/files/A5-velo2-35.jpg?subformat=icon-180 icon-180 2397894 35283482 http://cds.cern.ch/record/2834976/files/A5-velo2-57.jpg 2397895 22628509 http://cds.cern.ch/record/2834976/files/A5-velo2-58.jpg 2397896 31522314 http://cds.cern.ch/record/2834976/files/A5-velo2-59.jpg 2397894 135910 http://cds.cern.ch/record/2834976/files/A5-velo2-57.jpg?subformat=icon-180 icon-180 2397894 2404126 http://cds.cern.ch/record/2834976/files/A5-velo2-57.jpg?subformat=icon-1440 icon-1440 2397894 612208 http://cds.cern.ch/record/2834976/files/A5-velo2-57.jpg?subformat=icon-640 icon-640 2397895 1271508 http://cds.cern.ch/record/2834976/files/A5-velo2-58.jpg?subformat=icon-1440 icon-1440 2397895 322924 http://cds.cern.ch/record/2834976/files/A5-velo2-58.jpg?subformat=icon-640 icon-640 2397895 80274 http://cds.cern.ch/record/2834976/files/A5-velo2-58.jpg?subformat=icon-180 icon-180 2397896 1578254 http://cds.cern.ch/record/2834976/files/A5-velo2-59.jpg?subformat=icon-1440 icon-1440 2397896 381164 http://cds.cern.ch/record/2834976/files/A5-velo2-59.jpg?subformat=icon-640 icon-640 2397896 86427 http://cds.cern.ch/record/2834976/files/A5-velo2-59.jpg?subformat=icon-180 icon-180 jacques.fichet@cern.ch n 202239 CERN <> 86 PUBLIC VISIBLE PHOTOLABCERN 2834882 SzGeCERN 20221005150855.0 DOI International Society for Optics and Photonics 10.1117/12.2540007 oai:cds.cern.ch:2834882 cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:1767253 2022-09-28T12:56:24Z 2022-09-29T04:00:10Z marcxml Inspire 1767253 eng Neves, Tiago F P CERN Ecole Polytechnique, Lausanne Ecole Polytechnique Federale de Lausanne (Switzerland) International Society for Optics and Photonics A kilometre-range distributed relative humidity sensor 2019 4 p International Society for Optics and Photonics Fibre optics sensors have been identified as very good candidates for environmental monitoring inside the silicon detectors operated at CERN’s Large Hadron Collider. In this study, we present the results from the first highly sensitive relative humidity distributed sensor with kilometres sensing range. The setup is a 70 cm spatial resolution phase-sensitive Optical Time Domain Reflectometry (OTDR) and is able to monitor fibre lengths up to 10 km. The coating effect is also evaluated, analysing different coating thicknesses, number of coating layers, different manufacturing and different materials. Relative humidity tests were performed at two different temperatures (25°C and 42°C). Polyimide coated fibres show in general a higher humidity sensitivity then a standard acrylate coated fibre, while acrylate fibres offer the fastest response and settling time. The system is able to resolve 0.1% RH and all tested fibres proved to be good candidates to be employed in a distributed relative humidity sensor. If the requirements are a fast time response and short settling time at room temperature, the standard acrylate coated fibres are the best candidates. However, if the requirements are high sensitivity and measurement stability at different temperatures, the polyimide-coated fibres offer advantages on several aspects. SPIE 2019 SzGeCERN Detectors and Experimental Techniques author Humidity author Fibre author Sensing author Continous author Distributed author Phase-Sensitive OTDR author Polyimide author Acrylate ARTICLE CERN Zhang, Li Ecole Polytechnique, Lausanne Yang, Fan Ecole Polytechnique, Lausanne Tow, Kenny H RISE Acreo (Sweden) Petagna, Paolo CERN Thévenaz, Luc Ecole Polytechnique, Lausanne 1767343 1119922 Proc. SPIE 11199 C19-10-01.1 2019 13 2834757 1119922 limassol20191001 ARTICLE ConferencePaper 2834312 20231208231517.0 oai:cds.cern.ch:2834312 cerncds:FULLTEXT BUL-SA-2022-080 en fr Staff Association OSTEOARTHRITIS AND PROSTHESES SEMINAR L’OSTÉOARTHRITE ET LES PROTHÈSES SEMINAIRE 2022 23/09/2022 <!--HTML--> <p>Osteoarthritis (OA) is the most common form of arthritis which can affect any joint, typically the hands, knees, hips, lower back and neck. Historically, OA was known as a &ldquo;wear and tear&rdquo; condition, generally associated with older individuals but the disease can also affect much younger people depending on personal and professional risk factors. OA is considered a chronic disease and other than joint replacement surgery there is presently no cure. There are, however, treatments that can reduce pain, improve function, and in some instances delay the progression of the disease .&nbsp;</p> <p><img alt="" src="https://cds.cern.ch/record/2834312/files/Conf%20Arthrose%20poster_image.jpg?subformat=icon" style="float:left; height:225px; width:450px" /><br /> Symptoms vary in severity, and in its more severe forms OA is a painful condition that restricts mobility, interrupts sleep, and interferes with all aspects of life, including in the workplace. In terms of occupational medicine the challenge is to ensure careful monitoring and follow up, in line with the treatment type and prosthesis chosen and the functions and conditions of one&rsquo;s profession.&nbsp;</p> <p><br /> In this seminar, Dr Gr&eacute;goire Chick of the H&ocirc;pital de la Tour and Bernard Prandi, co-founder and co-president of Keri Medical Group will present the various clinical and engineering solutions associated with OA. It will further explore the potential of CERN&rsquo;s Mechanical and Materials Engineering portfolio such as design, simulations and measurements, high-precision fabrication, additive manufacturing, material science and non-destructive testing (including X-ray computed tomography and failure analysis), and possible future collaboration opportunities.</p> <p><br /> This seminar is co-organised by the Health, Safety and Environmental protection (HSE) Unit, in collaboration with the Engineering (EN) Department.</p> <p><br /> We look forward to seeing many of you on this occasion!</p> <p><br /> Full details of the event can be found on <a href="https://indico.cern.ch/event/1193540/ " target="_blank">https://indico.cern.ch/event/1193540/&nbsp;</a><br /> The HSE Unit</p> <!--HTML--> <p>L&rsquo;ost&eacute;oarthrite est la forme la plus r&eacute;pandue d&rsquo;arthrite et peut toucher n&rsquo;importe quelle articulation. Elle se manifeste g&eacute;n&eacute;ralement dans les mains, les genoux, les hanches, le bas du dos et le cou. Autrefois, l&rsquo;ost&eacute;oarthrite &eacute;tait attribu&eacute;e &agrave; l&rsquo;usure des articulations et &eacute;tait g&eacute;n&eacute;ralement associ&eacute;e aux personnes &acirc;g&eacute;es. Toutefois, cette maladie peut &eacute;galement affecter des personnes bien plus jeunes en fonction de facteurs de risque personnels et professionnels. L&rsquo;ost&eacute;oarthrite est consid&eacute;r&eacute;e comme une maladie chronique et, hormis la chirurgie de remplacement articulaire, il n&rsquo;existe aucun rem&egrave;de &agrave; l&rsquo;heure actuelle. En revanche, il existe des traitements qui peuvent att&eacute;nuer la douleur, am&eacute;liorer la fonction articulaire et, dans certains cas, retarder la progression de la maladie .&nbsp;</p> <p><br /> <img alt="" src="https://cds.cern.ch/record/2834312/files/Conf%20Arthrose%20poster_image.jpg?subformat=icon" style="float:left; height:225px; width:450px" />La gravit&eacute; des sympt&ocirc;mes varie ; dans ses formes les plus graves, l&rsquo;ost&eacute;oarthrite est une maladie douloureuse qui restreint la mobilit&eacute;, trouble le sommeil et repr&eacute;sente une g&ecirc;ne dans tous les aspects du quotidien, y compris au travail. En m&eacute;decine du travail, le d&eacute;fi consiste &agrave; assurer un contr&ocirc;le et un suivi attentifs, adapt&eacute;s au type de traitement et &agrave; la proth&egrave;se choisis, ainsi qu&rsquo;&agrave; la profession et aux conditions de travail du patient.&nbsp;</p> <p><br /> Au cours de ce s&eacute;minaire, Gr&eacute;goire Chick, m&eacute;decin &agrave; l&rsquo;H&ocirc;pital de la Tour, et Bernard Prandi, co-fondateur et co-pr&eacute;sident de la soci&eacute;t&eacute; KeriMedical, pr&eacute;senteront diff&eacute;rentes solutions cliniques et techniques contre l&rsquo;ost&eacute;oarthrite. Le s&eacute;minaire portera &eacute;galement sur les activit&eacute;s men&eacute;es par le groupe Ing&eacute;nierie m&eacute;canique et des mat&eacute;riaux du CERN, telles que la conception, les simulations et les prises de mesures, la fabrication de haute pr&eacute;cision, la fabrication additive, la science des mat&eacute;riaux et les tests non destructifs (dont la tomodensitom&eacute;trie et l&rsquo;analyse des d&eacute;faillances) et leur application potentielle &agrave; la lutte contre l&rsquo;ost&eacute;oarthrite, ainsi que sur d&rsquo;&eacute;ventuelles futures occasions de collaboration.</p> <p><br /> Le s&eacute;minaire est organis&eacute; par l&rsquo;unit&eacute; Sant&eacute; et s&eacute;curit&eacute; au travail et protection de l&rsquo;environnement (HSE), en collaboration avec le d&eacute;partement Ing&eacute;nierie (EN).<br /> Nous esp&eacute;rons vous voir nombreux &agrave; cette occasion.</p> <p><br /> Pour en savoir plus sur ce s&eacute;minaire, consultez la page : <a href="https://indico.cern.ch/event/1193540/ " target="_blank">https://indico.cern.ch/event/1193540/&nbsp;</a></p> <p><br /> L&rsquo;unit&eacute; HSE<br /> &nbsp;</p> NO noicon 5 39/2022 CERN Bulletin 5 40/2022 CERN Bulletin 2397145 330196 http://cds.cern.ch/record/2834312/files/Conf Arthrose poster_image.jpg 2397145 96771 http://cds.cern.ch/record/2834312/files/Conf Arthrose poster_image.jpg?subformat=icon icon staff.bulletin@cern.ch fiona.nancy.brenugat@cern.ch BULLETINSTAFF 2834163 SzGeCERN 20220922142105.0 PRESS CUTTING 17 10 Sep 2020 Le Dauphiné Libéré 2020 CERN Depot 3, bldg. 2 (DE3) PRESSCUT-H-2020-281 CUTTING Le Cern mesure son impact environnemental pour le réduire 2020 paper SzGeCERN CERN measures its impact environmental to reduce it Colson, Sébastien h 202238 PRESSCUT-H-2020-281 fre 2834151 SzGeCERN 20220922134929.0 Le Cern mesure son impact environnemental pour le réduire PRESS CUTTING 17 9 Sep 2020 Le Dauphiné Libéré 2020 CERN Depot 3, bldg. 2 (DE3) PRESSCUT-H-2020-276 CUTTING 2020 paper SzGeCERN CERN measures its environmental impact to reduce it h 202238 PRESSCUT-H-2020-276 fre 2834150 SzGeCERN 20220922134428.0 PRESS CUTTING 17 9 Sep 2020 Heidi News 2020 CERN Depot 3, bldg. 2 (DE3) PRESSCUT-H-2020-275 CUTTING Pour la première fois, le CERN dévoile son bilan environnemental 2020 paper SzGeCERN For the first time, CERN unveils its environmental report Sermondadaz, Sarah h 202238 PRESSCUT-H-2020-275 fre 2827364 20251201181530.0 oai:cds.cern.ch:2827364 cerncds:TALK eng CERN. Geneva Town Hall: “CERN Year of Environmental Awareness: outcome and future perspectives” (Coffee from 1.30 pm. Exhibition on the Mezzanine from 1 – 4 pm) CERN - 500/1-001 - Main Auditorium 2022-09-15T14:05:00 2022-09-15T14:15:00 1166618c2 Year of Environmental Awareness: communication campaign 2022 2022-09-15 440 Streaming video CERN's Year of Environmental Awareness Town Hall: “CERN Year of Environmental Awareness: outcome and future perspectives” (Coffee from 1.30 pm. Exhibition on the Mezzanine from 1 – 4 pm) 2022-09-15T14:05:00 CERN 2022 CERN's Year of Environmental Awareness Event TALK CERN Kleiner, Sonja speaker CERN https://indico.cern.ch/event/1166618/contributions/4899616/ Talk details https://indico.cern.ch/event/1166618/ Event details MediaArchive /mnt/master_share/master_data/2022/1166618c2 Absolute master path MediaArchive /2022/1166618c2/1166618c2_en.vtt subtitle subtitle English MediaArchive /2022/1166618c2/1166618c2_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1166618c2/1166618c2-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1166618c2/1166618c2-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1468640 MediaArchive https://lecturemedia.cern.ch/2022/1166618c2/1166618c2-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 131139 MediaArchive https://lecturemedia.cern.ch/2022/1166618c2/1166618c2-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 335319 MediaArchive https://lecturemedia.cern.ch/2022/1166618c2/1166618c2-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 853971 MediaArchive https://lecturemedia.cern.ch/2022/1166618c2/1166618c2-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1199668 MediaArchive https://lecturemedia.cern.ch/2022/1166618c2/1166618c2-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 87023 MediaArchive https://lecturemedia.cern.ch/2022/1166618c2/1166618c2-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 423034 MediaArchive https://lecturemedia.cern.ch/2022/1166618c2/1166618c2-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3999336 johanna.picard@cern.ch 2022-05-30T09:31:13 2022-09-16T13:11:57 PUBLIC INDICO.1166618c2 https://videos.cern.ch/legacy/record/2827364 Indico CMTE MIGRATED 2827336 20260313143530.0 oai:cds.cern.ch:2827336 cerncds:TALK eng Various CERN. Geneva 2022-09-15T15:05:00 Town Hall: “CERN Year of Environmental Awareness: outcome and future perspectives” (Coffee from 1.30 pm. Exhibition on the Mezzanine from 1 – 4 pm) CERN - 500/1-001 - Main Auditorium 1166618c8 2022-09-15T15:30:00 Q&A 2022 2022-09-15 588 Streaming video CERN's Year of Environmental Awareness Town Hall: “CERN Year of Environmental Awareness: outcome and future perspectives” (Coffee from 1.30 pm. Exhibition on the Mezzanine from 1 – 4 pm) 2022-09-15T15:05:00 CERN 2022 CERN's Year of Environmental Awareness Event TALK CERN https://indico.cern.ch/event/1166618/contributions/4916194/ Talk details https://indico.cern.ch/event/1166618/ Event details MediaArchive /mnt/master_share/master_data/2022/1166618c8 Absolute master path MediaArchive /2022/1166618c8/1166618c8_en.vtt subtitle subtitle English MediaArchive /2022/1166618c8/1166618c8_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1166618c8/1166618c8-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1166618c8/1166618c8-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 683969 MediaArchive https://lecturemedia.cern.ch/2022/1166618c8/1166618c8-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 294029 MediaArchive https://lecturemedia.cern.ch/2022/1166618c8/1166618c8-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1191809 MediaArchive https://lecturemedia.cern.ch/2022/1166618c8/1166618c8-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 110412 MediaArchive https://lecturemedia.cern.ch/2022/1166618c8/1166618c8-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 639588 MediaArchive https://lecturemedia.cern.ch/2022/1166618c8/1166618c8-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1200032 MediaArchive https://lecturemedia.cern.ch/2022/1166618c8/1166618c8-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 169052 MediaArchive https://lecturemedia.cern.ch/2022/1166618c8/1166618c8-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3999008 johanna.picard@cern.ch 2022-09-16T09:44:22 2022-05-30T09:31:13 PUBLIC INDICO.1166618c8 https://videos.cern.ch/legacy/record/2827336 Indico CMTE MIGRATED 2827326 20251201181347.0 oai:cds.cern.ch:2827326 cerncds:TALK eng CERN. Geneva Town Hall: “CERN Year of Environmental Awareness: outcome and future perspectives” (Coffee from 1.30 pm. Exhibition on the Mezzanine from 1 – 4 pm) CERN - 500/1-001 - Main Auditorium 2022-09-15T14:15:00 2022-09-15T14:25:00 1166618c3 Environmental awareness; review of special actions 2022 2022-09-15 804 Streaming video CERN's Year of Environmental Awareness Town Hall: “CERN Year of Environmental Awareness: outcome and future perspectives” (Coffee from 1.30 pm. Exhibition on the Mezzanine from 1 – 4 pm) 2022-09-15T14:15:00 <!--HTML-->Presentation of the outcome of the Tidy-up Week and the Idea Box on energy consumption CERN 2022 CERN's Year of Environmental Awareness Event TALK CERN Ulrici, Luisa speaker CERN https://indico.cern.ch/event/1166618/contributions/4899617/ Talk details https://indico.cern.ch/event/1166618/ Event details MediaArchive /mnt/master_share/master_data/2022/1166618c3 Absolute master path MediaArchive /2022/1166618c3/1166618c3_en.vtt subtitle subtitle English MediaArchive /2022/1166618c3/1166618c3_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1166618c3/1166618c3-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1166618c3/1166618c3-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 770957 MediaArchive https://lecturemedia.cern.ch/2022/1166618c3/1166618c3-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 128967 MediaArchive https://lecturemedia.cern.ch/2022/1166618c3/1166618c3-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1256007 MediaArchive https://lecturemedia.cern.ch/2022/1166618c3/1166618c3-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 310394 MediaArchive https://lecturemedia.cern.ch/2022/1166618c3/1166618c3-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 92637 MediaArchive https://lecturemedia.cern.ch/2022/1166618c3/1166618c3-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3999502 MediaArchive https://lecturemedia.cern.ch/2022/1166618c3/1166618c3-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1199663 MediaArchive https://lecturemedia.cern.ch/2022/1166618c3/1166618c3-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 476854 johanna.picard@cern.ch 2022-05-30T09:31:13 2022-09-16T09:05:22 PUBLIC INDICO.1166618c3 https://videos.cern.ch/legacy/record/2827326 Indico CMTE MIGRATED 2827304 20251201181650.0 oai:cds.cern.ch:2827304 cerncds:TALK eng CERN. Geneva Town Hall: “CERN Year of Environmental Awareness: outcome and future perspectives” (Coffee from 1.30 pm. Exhibition on the Mezzanine from 1 – 4 pm) CERN - 500/1-001 - Main Auditorium 2022-09-15T14:55:00 2022-09-15T15:05:00 1166618c7 CERN & Environment: summary of the feedback survey results and future communication perspectives 2022 2022-09-15 748 Streaming video CERN's Year of Environmental Awareness Town Hall: “CERN Year of Environmental Awareness: outcome and future perspectives” (Coffee from 1.30 pm. Exhibition on the Mezzanine from 1 – 4 pm) 2022-09-15T14:55:00 CERN 2022 CERN's Year of Environmental Awareness Event TALK CERN Delille, Benoit speaker CERN https://indico.cern.ch/event/1166618/contributions/4899639/ Talk details https://indico.cern.ch/event/1166618/ Event details MediaArchive /mnt/master_share/master_data/2022/1166618c7 Absolute master path MediaArchive /2022/1166618c7/1166618c7_en.vtt subtitle subtitle English MediaArchive /2022/1166618c7/1166618c7_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1166618c7/1166618c7-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1166618c7/1166618c7-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 293018 MediaArchive https://lecturemedia.cern.ch/2022/1166618c7/1166618c7-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1148740 MediaArchive https://lecturemedia.cern.ch/2022/1166618c7/1166618c7-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 715923 MediaArchive https://lecturemedia.cern.ch/2022/1166618c7/1166618c7-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 121796 MediaArchive https://lecturemedia.cern.ch/2022/1166618c7/1166618c7-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3998521 MediaArchive https://lecturemedia.cern.ch/2022/1166618c7/1166618c7-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1199387 MediaArchive https://lecturemedia.cern.ch/2022/1166618c7/1166618c7-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 84930 MediaArchive https://lecturemedia.cern.ch/2022/1166618c7/1166618c7-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 437651 johanna.picard@cern.ch 2022-05-30T09:31:13 2022-09-16T06:47:07 PUBLIC INDICO.1166618c7 https://videos.cern.ch/legacy/record/2827304 Indico CMTE MIGRATED 2827303 20251201181446.0 oai:cds.cern.ch:2827303 cerncds:TALK eng CERN. Geneva Town Hall: “CERN Year of Environmental Awareness: outcome and future perspectives” (Coffee from 1.30 pm. Exhibition on the Mezzanine from 1 – 4 pm) CERN - 500/1-001 - Main Auditorium 2022-09-15T14:45:00 2022-09-15T14:55:00 1166618c6 Environmental initiatives in procurement and Knowledge Transfer 2022 2022-09-15 852 Streaming video CERN's Year of Environmental Awareness Town Hall: “CERN Year of Environmental Awareness: outcome and future perspectives” (Coffee from 1.30 pm. Exhibition on the Mezzanine from 1 – 4 pm) 2022-09-15T14:45:00 CERN 2022 CERN's Year of Environmental Awareness Event TALK CERN Hartley, Christopher speaker CERN https://indico.cern.ch/event/1166618/contributions/4899637/ Talk details https://indico.cern.ch/event/1166618/ Event details MediaArchive /mnt/master_share/master_data/2022/1166618c6 Absolute master path MediaArchive /2022/1166618c6/1166618c6_en.vtt subtitle subtitle English MediaArchive /2022/1166618c6/1166618c6_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1166618c6/1166618c6-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1166618c6/1166618c6-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 704701 MediaArchive https://lecturemedia.cern.ch/2022/1166618c6/1166618c6-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 270072 MediaArchive https://lecturemedia.cern.ch/2022/1166618c6/1166618c6-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1158372 MediaArchive https://lecturemedia.cern.ch/2022/1166618c6/1166618c6-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 117212 MediaArchive https://lecturemedia.cern.ch/2022/1166618c6/1166618c6-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1199960 MediaArchive https://lecturemedia.cern.ch/2022/1166618c6/1166618c6-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 457383 MediaArchive https://lecturemedia.cern.ch/2022/1166618c6/1166618c6-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3999630 MediaArchive https://lecturemedia.cern.ch/2022/1166618c6/1166618c6-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 93270 johanna.picard@cern.ch 2022-05-30T09:31:13 2022-09-16T06:44:32 PUBLIC INDICO.1166618c6 https://videos.cern.ch/legacy/record/2827303 Indico CMTE MIGRATED 2827302 20251201181446.0 oai:cds.cern.ch:2827302 cerncds:TALK eng CERN. Geneva Town Hall: “CERN Year of Environmental Awareness: outcome and future perspectives” (Coffee from 1.30 pm. Exhibition on the Mezzanine from 1 – 4 pm) CERN - 500/1-001 - Main Auditorium 2022-09-15T14:35:00 2022-09-15T14:45:00 1166618c5 Environmental initiatives linked to the Campus development 2022 2022-09-15 735 Streaming video CERN's Year of Environmental Awareness Town Hall: “CERN Year of Environmental Awareness: outcome and future perspectives” (Coffee from 1.30 pm. Exhibition on the Mezzanine from 1 – 4 pm) 2022-09-15T14:35:00 CERN 2022 CERN's Year of Environmental Awareness Event TALK CERN Capeans Garrido, Mar speaker CERN https://indico.cern.ch/event/1166618/contributions/4899635/ Talk details https://indico.cern.ch/event/1166618/ Event details MediaArchive /mnt/master_share/master_data/2022/1166618c5 Absolute master path MediaArchive /2022/1166618c5/1166618c5_en.vtt subtitle subtitle English MediaArchive /2022/1166618c5/1166618c5_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1166618c5/1166618c5-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1166618c5/1166618c5-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 322385 MediaArchive https://lecturemedia.cern.ch/2022/1166618c5/1166618c5-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1514584 MediaArchive https://lecturemedia.cern.ch/2022/1166618c5/1166618c5-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 125094 MediaArchive https://lecturemedia.cern.ch/2022/1166618c5/1166618c5-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 832207 MediaArchive https://lecturemedia.cern.ch/2022/1166618c5/1166618c5-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3999086 MediaArchive https://lecturemedia.cern.ch/2022/1166618c5/1166618c5-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 440381 MediaArchive https://lecturemedia.cern.ch/2022/1166618c5/1166618c5-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 90027 MediaArchive https://lecturemedia.cern.ch/2022/1166618c5/1166618c5-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1199922 johanna.picard@cern.ch 2022-05-30T09:31:13 2022-09-16T06:43:46 PUBLIC INDICO.1166618c5 https://videos.cern.ch/legacy/record/2827302 Indico CMTE MIGRATED 2827301 20251201182957.0 oai:cds.cern.ch:2827301 cerncds:TALK eng CERN. Geneva Town Hall: “CERN Year of Environmental Awareness: outcome and future perspectives” (Coffee from 1.30 pm. Exhibition on the Mezzanine from 1 – 4 pm) CERN - 500/1-001 - Main Auditorium 2022-09-15T14:25:00 2022-09-15T14:35:00 1166618c4 Reducing IT's energy footprint: 3 lines of actions 2022 2022-09-15 726 Streaming video CERN's Year of Environmental Awareness Town Hall: “CERN Year of Environmental Awareness: outcome and future perspectives” (Coffee from 1.30 pm. Exhibition on the Mezzanine from 1 – 4 pm) 2022-09-15T14:25:00 CERN 2022 CERN's Year of Environmental Awareness Event TALK CERN Porcari, Enrica Maria speaker CERN https://indico.cern.ch/event/1166618/contributions/4899634/ Talk details https://indico.cern.ch/event/1166618/ Event details MediaArchive /mnt/master_share/master_data/2022/1166618c4 Absolute master path MediaArchive /2022/1166618c4/1166618c4_en.vtt subtitle subtitle English MediaArchive /2022/1166618c4/1166618c4_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1166618c4/1166618c4-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1166618c4/1166618c4-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 647294 MediaArchive https://lecturemedia.cern.ch/2022/1166618c4/1166618c4-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 271817 MediaArchive https://lecturemedia.cern.ch/2022/1166618c4/1166618c4-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 123978 MediaArchive https://lecturemedia.cern.ch/2022/1166618c4/1166618c4-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1032469 MediaArchive https://lecturemedia.cern.ch/2022/1166618c4/1166618c4-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 129889 MediaArchive https://lecturemedia.cern.ch/2022/1166618c4/1166618c4-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3999797 MediaArchive https://lecturemedia.cern.ch/2022/1166618c4/1166618c4-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1200150 MediaArchive https://lecturemedia.cern.ch/2022/1166618c4/1166618c4-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 639783 johanna.picard@cern.ch 2022-05-30T09:31:13 2022-09-16T06:42:27 PUBLIC INDICO.1166618c4 https://videos.cern.ch/legacy/record/2827301 Indico CMTE MIGRATED 2827300 20251201181635.0 oai:cds.cern.ch:2827300 cerncds:TALK eng CERN. Geneva Town Hall: “CERN Year of Environmental Awareness: outcome and future perspectives” (Coffee from 1.30 pm. Exhibition on the Mezzanine from 1 – 4 pm) CERN - 500/1-001 - Main Auditorium 2022-09-15T14:00:00 2022-09-15T14:05:00 1166618c1 Welcome 2022 2022-09-15 255 Streaming video CERN's Year of Environmental Awareness Town Hall: “CERN Year of Environmental Awareness: outcome and future perspectives” (Coffee from 1.30 pm. Exhibition on the Mezzanine from 1 – 4 pm) 2022-09-15T14:00:00 CERN 2022 CERN's Year of Environmental Awareness Event TALK CERN Delille, Benoit speaker CERN https://indico.cern.ch/event/1166618/contributions/4899615/ Talk details https://indico.cern.ch/event/1166618/ Event details MediaArchive /mnt/master_share/master_data/2022/1166618c1 Absolute master path MediaArchive /2022/1166618c1/1166618c1_en.vtt subtitle subtitle English MediaArchive /2022/1166618c1/1166618c1_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1166618c1/1166618c1-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1166618c1/1166618c1-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 152974 MediaArchive https://lecturemedia.cern.ch/2022/1166618c1/1166618c1-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 914796 MediaArchive https://lecturemedia.cern.ch/2022/1166618c1/1166618c1-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 362557 MediaArchive https://lecturemedia.cern.ch/2022/1166618c1/1166618c1-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1498743 MediaArchive https://lecturemedia.cern.ch/2022/1166618c1/1166618c1-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3996472 MediaArchive https://lecturemedia.cern.ch/2022/1166618c1/1166618c1-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1198135 MediaArchive https://lecturemedia.cern.ch/2022/1166618c1/1166618c1-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 99106 MediaArchive https://lecturemedia.cern.ch/2022/1166618c1/1166618c1-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 413105 johanna.picard@cern.ch 2022-05-30T09:31:13 2022-09-16T06:40:14 PUBLIC INDICO.1166618c1 https://videos.cern.ch/legacy/record/2827300 Indico CMTE MIGRATED 2827227 SzGeCERN 20220916231304.0 DOI IOP 10.1088/1748-0221/14/09/C09040 oai:cds.cern.ch:2827227 cerncds:CERN https://inspirehep.net/api/oai2d 2022-09-16T04:02:56Z marcxml oai:inspirehep.net:1756598 2022-09-15T14:10:51Z Inspire 1756598 eng Guida, R CERN IOP Gas recirculation and recuperation systems for Resistive Plate Chamber operation with new environmental friendly gases 2019 13 p IOP Resistive Plate Chamber (RPC) detectors are widely used thanks to their excellent time resolution and low production cost. The large RPC systems at the CERN-LHC experiments are operated in avalanche mode thanks to a R134a-based gas mixture with the addition SF6 and iC4H10 in low concentrations (0.3% and 5% respectively). However, due to their high global warming potential (GWP), R134a has been phased out from production and SF6 will be probably phased out very soon. Although R134a and SF6 will always be technically available for research purposes, their cost will probably increase as the interest of industry and market will gradually move towards new eco-friendly refrigerants and insulators. In addition, the reduction of R134a and SF6 emission in the atmosphere from anthropogenic activityis is of paramount importance because GHGs are believed to be at the origin of climate changes. Several gas mixtures based on new environmental friendly gases have been tested in the past few years. Results obtained with new gas mixtures based on hydro-fluoro-olephin (R1234ze), CO2 and C4F8O are presented. A parallel strategy for reducing the GHG emission is focused on the development of new gas recirculation and recuperation systems. The present contribution describes the last results obtained during the first test of RPC detectors operated with new environmental friendly gas mixture and new gas recirculation system. Other strategies for GHG emission reduction will be discussed as a part of a wider R&D; program. IOP Publishing Ltd and Sissa Medialab 2019 SzGeCERN Detectors and Experimental Techniques ARTICLE CERN Mandelli, B CERN 1753853 C09040 09 C18-02-19.3 2019 JINST 14 13 2304613 puerto vallarta20180219 C09040 ARTICLE ConferencePaper 2827204 20240117042915.0 oai:cds.cern.ch:2827204 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI 10.1140/epjp/s13360-022-03319-w arXiv oai:arXiv.org:2208.10466 oai:inspirehep.net:2139871 https://inspirehep.net/api/oai2d Inspire 2024-01-16T14:54:10Z 2024-01-17T03:20:23Z marcxml true Inspire 2139871 arXiv arXiv:2208.10466 hep-ph eng Janot, Patrick ORCID:0000-0001-7339-4272 patrick.janot@cern.ch. GRID:grid.9132.9 CERN CERN, 1 Esplanade des Particules, 1217 Meyrin, Switzerland arXiv The carbon footprint of proposed $e^+e^-$ Higgs factories 2022-10-10 2022-08-22 8 p Springer The energy consumption of any of the ${\mathrm{e}}^+{\mathrm{e}}^-$ Higgs factory projects that can credibly operate immediately after the end of LHC, namely three linear colliders (CLIC, operating at $\sqrt{s}\,=\,380$ GeV; and ILC and ${\mathrm{C}}^3$, operating at $\sqrt{s}\,=\,250$ GeV) and two circular colliders (CEPC and FCC-ee, operating at $\sqrt{s}\,=\,240$ GeV), will be everything but negligible. Future Higgs boson studies may therefore have a significant environmental impact. This note proposes to include the carbon footprint for a given physics performance as a top-level gauge for the design optimisation and, eventually, the choice of the future facility. The projected footprints per Higgs boson produced, evaluated using the 2021 carbon emission of available electricity, are found to vary by a factor 100 depending on the considered Higgs factory project. arXiv The energy consumption of any of the $\rm e^+e^-$ Higgs factory projects that can credibly operate immediately after the end of LHC, namely three linear colliders (CLIC, operating at $\sqrt{s}=380$GeV; and ILC and $\rm C^3$, operating at $\sqrt{s}=250$ GeV) and two circular colliders (CEPC and FCC-ee, operating at $\sqrt{s}=240$ GeV), will be everything but negligible. Future Higgs boson studies may therefore have a significant environmental impact. This note proposes to include the carbon footprint for a given physics performance as a top-level gauge for the design optimization and, eventually, the choice of the future facility. The projected footprints per Higgs boson produced, evaluated using the 2021 carbon emission of available electricity, are found to vary by a factor 100 depending on the considered Higgs factory project. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication CC-BY-4.0 CERN-RP: Springer http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2022 3 2022-08-29 abs 3 2022-08-29 printed arXiv physics.soc-ph SzGeCERN Other Fields of Physics arXiv physics.acc-ph SzGeCERN Accelerators and Storage Rings arXiv hep-ex SzGeCERN Particle Physics - Experiment arXiv hep-ph SzGeCERN Particle Physics - Phenomenology CERN ARTICLE Blondel, Alain GRID:grid.463935.e GRID:grid.8591.5 LPNHE, Paris Geneva U. LPNHE, IN2P3-CNRS, 4 Place Jussieu, 75005 Paris, France University of Geneva, 24 rue du Général-Dufour, 1211 Geneva, Switzerland C21-07-11 1122 10 Eur. Phys. J. Plus 137 2022 https://www.slac.stanford.edu/econf/C210711/ eConf 2389234 1167468 http://cds.cern.ch/record/2827204/files/2208.10466.pdf Fulltext 2389235 316746 http://cds.cern.ch/record/2827204/files/CO2World.png 00001 Carbon intensity of electricity production around the world in 2021, in $\rm kgCO_2$ equivalent / MWh, obtained from Ref.~\cite{CO2}. The carbon footprints of the energy produced in Illinois, Japan, and France, and used respectively at FNAL, KEK, and CERN, are highlighted. 2389236 6792 http://cds.cern.ch/record/2827204/files/EnergyPerH.png 00002 Energy consumption (top) and carbon footprint (bottom) for the five Higgs factory projects (CLIC at 380\,GeV, ILC/$\rm C^3$ at 250\,GeV, and CEPC/FCC-ee at 240\,GeV), per Higgs boson produced, i.e., for an equivalent physics outcome. In these plots, FCC-ee is assumed to operate only two detectors. With four detectors, the FCC-ee estimators would be divided by a factor 1.7. 2389237 347617 http://cds.cern.ch/record/2827204/files/FCC-Logo_Mono_CMYK_Black.png 00000 FCC-Logo_Mono_CMYK_Black 2415405 609093 http://cds.cern.ch/record/2827204/files/Publication.pdf Fulltext 2423795 609093 http://cds.cern.ch/record/2827204/files/document.pdf Fulltext 2415405 11128 http://cds.cern.ch/record/2827204/files/Publication.gif?subformat=icon icon Fulltext 2415405 159740 http://cds.cern.ch/record/2827204/files/Publication.jpg?subformat=icon-700 icon-700 Fulltext 2415405 18298 http://cds.cern.ch/record/2827204/files/Publication.jpg?subformat=icon-180 icon-180 Fulltext 13 2722743 1122 seattle20210711 ARTICLE ConferencePaper 2827089 20230418215443.0 DOI arXiv 10.1007/s10686-022-09880-7 publication oai:cds.cern.ch:2827089 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2208.14562 Inspire oai:inspirehep.net:2144262 2023-04-17T11:45:57Z 2023-04-18T02:00:14Z marcxml true https://inspirehep.net/api/oai2d Inspire 2144262 arXiv arXiv:2208.14562 astro-ph.IM eng Barret, Didier dbarret@irap.omp.eu GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Springer The Athena X-ray Integral Field Unit: a consolidated design for the system requirement review of the preliminary definition phase 2023-01-27 2022-08-30 54 p Springer The Athena X-ray Integral Unit (X-IFU) is the high resolution X-ray spectrometer studied since 2015 for flying in the mid-30s on the Athena space X-ray Observatory. Athena is a versatile observatory designed to address the Hot and Energetic Universe science theme, as selected in November 2013 by the Survey Science Committee. Based on a large format array of Transition Edge Sensors (TES), X-IFU aims to provide spatially resolved X-ray spectroscopy, with a spectral resolution of 2.5 eV (up to 7 keV) over a hexagonal field of view of 5 arc minutes (equivalent diameter). The X-IFU entered its System Requirement Review (SRR) in June 2022, at about the same time when ESA called for an overall X-IFU redesign (including the X-IFU cryostat and the cooling chain), due to an unanticipated cost overrun of Athena. In this paper, after illustrating the breakthrough capabilities of the X-IFU, we describe the instrument as presented at its SRR (i.e. in the course of its preliminary definition phase, so-called B1), browsing through all the subsystems and associated requirements. We then show the instrument budgets, with a particular emphasis on the anticipated budgets of some of its key performance parameters, such as the instrument efficiency, spectral resolution, energy scale knowledge, count rate capability, non X-ray background and target of opportunity efficiency. Finally, we briefly discuss the ongoing key technology demonstration activities, the calibration and the activities foreseen in the X-IFU Instrument Science Center, touch on communication and outreach activities, the consortium organisation and the life cycle assessment of X-IFU aiming at minimising the environmental footprint, associated with the development of the instrument. Thanks to the studies conducted so far on X-IFU, it is expected that along the design-to-cost exercise requested by ESA, the X-IFU will maintain flagship capabilities in spatially resolved high resolution X-ray spectroscopy, enabling most of the original X-IFU related scientific objectives of the Athena mission to be retained. The X-IFU will be provided by an international consortium led by France, The Netherlands and Italy, with ESA member state contributions from Belgium, Czech Republic, Finland, Germany, Poland, Spain, Switzerland, with additional contributions from the United States and Japan. arXiv The Athena X-ray Integral Unit (X-IFU) is the high resolution X-ray spectrometer, studied since 2015 for flying in the mid-30s on the Athena space X-ray Observatory, a versatile observatory designed to address the Hot and Energetic Universe science theme, selected in November 2013 by the Survey Science Committee. Based on a large format array of Transition Edge Sensors (TES), it aims to provide spatially resolved X-ray spectroscopy, with a spectral resolution of 2.5 eV (up to 7 keV) over an hexagonal field of view of 5 arc minutes (equivalent diameter). The X-IFU entered its System Requirement Review (SRR) in June 2022, at about the same time when ESA called for an overall X-IFU redesign (including the X-IFU cryostat and the cooling chain), due to an unanticipated cost overrun of Athena. In this paper, after illustrating the breakthrough capabilities of the X-IFU, we describe the instrument as presented at its SRR, browsing through all the subsystems and associated requirements. We then show the instrument budgets, with a particular emphasis on the anticipated budgets of some of its key performance parameters. Finally we briefly discuss on the ongoing key technology demonstration activities, the calibration and the activities foreseen in the X-IFU Instrument Science Center, and touch on communication and outreach activities, the consortium organisation, and finally on the life cycle assessment of X-IFU aiming at minimising the environmental footprint, associated with the development of the instrument. Thanks to the studies conducted so far on X-IFU, it is expected that along the design-to-cost exercise requested by ESA, the X-IFU will maintain flagship capabilities in spatially resolved high resolution X-ray spectroscopy, enabling most of the original X-IFU related scientific objectives of the Athena mission to be retained. (abridged). preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication exclusive licence to Springer Nature B.V publication The Author(s) 2023 SzGeCERN Astrophysics and Astronomy CERN ARTICLE CERN ATHENA Albouys, Vincent GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Herder, Jan-Willem den GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Piro, Luigi GRID:grid.466835.a INAF, IAPS, Rome Istituto di Astrofisica e Planetologia Spaziali, Via Fosso del Cavaliere 100, 00133 Roma, Italy Cappi, Massimo GRID:grid.4293.c Bologna Observ. INAF, Osservatorio di Astrofisica e Scienza dello Spazio, via Gobetti 93/3, 40129 Bologna, Italy Huovelin, Juhani GRID:grid.7737.4 Helsinki Inst. of Phys. Department of Physics, Faculty of Science, University of Helsinki, P.O. Box 64 (Gustaf Hällströmin katu 2), FI-00014 Helsinki, Finland Kelley, Richard GRID:grid.133275.1 NASA, Goddard NASA Goddard Space Flight Center, 8800 Greenbelt Rd, 20771 Greenbelt, MD, US Mas-Hesse, J. Miguel GRID:grid.462011.0 LBNL, NSD Centro de Astrobiología (CSIC-INTA), Dep. de AstrofísicaUnidad María de Maeztu, European Space Astronomy Centre (ESA-ESAC), Camino Bajo del Castillo s/n - Villafranca del Castillo, 28692 Villanueva de la Cañada, Madrid, Spain Paltani, Stéphane GRID:grid.8591.5 U. Geneva (main) Département d’Astronomie, Université de Genève, Chemin d’Ecogia 16, CH-1290 Versoix, Switzerland Rauw, Gregor GRID:grid.4861.b Liege U. Institut d’Astrophysique et de Géophysique, Université de Liège, Quartier Agora, Allée du 6 Août 19c, B-4000 Liège 1 (Sart-Tilman), Belgium Rozanska, Agata GRID:grid.436383.9 Wroclaw U., Astro. Inst. Centrum Astronomiczne im. Mikołaja Kopernika Polskiej Akademii Nauk, ul. Bartycka 18, 00-716 Warszawa, Poland Svoboda, Jiri GRID:grid.423799.2 Astron. Inst., Praque Astronomical Institute, Czech Academy of Sciences, Bocni II 1401/1, CZ-14100 Praha 4, Czech Republic Wilms, Joern GRID:grid.5330.5 Erlangen - Nuremberg U. Astronomical Institute of the FAU, Erlangen Centre for Astroparticle Physics, University of Erlangen-Nüremberg, Sternwartstr. 7, 96049 Bamberg, Germany Yamasaki, Noriko GRID:grid.450279.d JAXA, Sagamihara Institute of Space and Astronautical Science (ISAS), 3-1-1 Yoshinodai, Chuo-ku, 252-5210 Sagamihara, Japan Audard, Marc GRID:grid.8591.5 U. Geneva (main) Département d’Astronomie, Université de Genève, Chemin d’Ecogia 16, CH-1290 Versoix, Switzerland Bandler, Simon GRID:grid.133275.1 NASA, Goddard NASA Goddard Space Flight Center, 8800 Greenbelt Rd, 20771 Greenbelt, MD, US Barbera, Marco GRID:grid.10776.37 GRID:grid.466954.c Palermo U. Dipartimento di Fisica e Chimica, Università degli Studi di Palermo, Via Archirafi 36, 90123 Palermo, Italy INAF/Osservatorio Astronomico di Palermo G.S.Vaiana, Piazza del Parlamento 1, 90134 Palermo, Italy Barcons, Xavier GRID:grid.469953.4 Cantabria Inst. of Phys. Instituto de Física de Cantabria (CSIC-UC) Edificio Juan Jordá, Avenida de los Castros, s/n - E-39005, Santander, Cantabria, Spain Bozzo, Enrico GRID:grid.8591.5 U. Geneva (main) Département d’Astronomie, Université de Genève, Chemin d’Ecogia 16, CH-1290 Versoix, Switzerland Ceballos, Maria Teresa GRID:grid.469953.4 Cantabria Inst. of Phys. Instituto de Física de Cantabria (CSIC-UC) Edificio Juan Jordá, Avenida de los Castros, s/n - E-39005, Santander, Cantabria, Spain Charles, Ivan GRID:grid.457348.9 SBT, Grenoble Département des Systèmes Basses Températures, CEA-Grenoble, 17 Avenue Des Martyrs, 38054 Grenoble cedex 99, France Costantini, Elisa GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Dauser, Thomas GRID:grid.5330.5 Erlangen - Nuremberg U. Astronomical Institute of the FAU, Erlangen Centre for Astroparticle Physics, University of Erlangen-Nüremberg, Sternwartstr. 7, 96049 Bamberg, Germany Decourchelle, Anne AIM, Saclay Département d’Astrophysique, UMR AIM, Orme des Merisiers, Bât 709, 91191 Gif sur Yvette, France Duband, Lionel GRID:grid.457348.9 SBT, Grenoble Département des Systèmes Basses Températures, CEA-Grenoble, 17 Avenue Des Martyrs, 38054 Grenoble cedex 99, France Duval, Jean-Marc GRID:grid.457348.9 SBT, Grenoble Département des Systèmes Basses Températures, CEA-Grenoble, 17 Avenue Des Martyrs, 38054 Grenoble cedex 99, France Fiore, Fabrizio GRID:grid.462980.1 Trieste Observ. INAF-Osservatorio Astronomico di Trieste, via Tiepolo 11, 34143 Trieste, Italy Gatti, Flavio GRID:grid.5606.5 Genoa U. Dipartimento di Fisica, Università di Genova, Via Dodecaneso 33, 16146 Genova, Italy Goldwurm, Andrea GRID:grid.462017.6 APC, Paris Université Paris Cité, CNRS, CEA, Astroparticule et Cosmologie (APC), F-75013 Paris, France Hartog, Roland den GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Jackson, Brian GRID:grid.451248.e Groningen U. SRON Netherlands Institute for Space Research, Landleven 12, 9747 Groningen, AD, The Netherlands Jonker, Peter GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Kilbourne, Caroline GRID:grid.133275.1 NASA, Goddard NASA Goddard Space Flight Center, 8800 Greenbelt Rd, 20771 Greenbelt, MD, US Korpela, Seppo GRID:grid.7737.4 Helsinki Inst. of Phys. Department of Physics, Faculty of Science, University of Helsinki, P.O. Box 64 (Gustaf Hällströmin katu 2), FI-00014 Helsinki, Finland Macculi, Claudio GRID:grid.466835.a INAF, IAPS, Rome Istituto di Astrofisica e Planetologia Spaziali, Via Fosso del Cavaliere 100, 00133 Roma, Italy Mendez, Mariano GRID:grid.4830.f Kapteyn Astron. Inst., Groningen Rijksuniversiteit Groningen, Faculty of Science and Engineering, Landleven 12, 9747 Groningen, AD, The Netherlands Mitsuda, Kazuhisa GRID:grid.458494.0 Natl. Astron. Observ. of Japan National Astronomical Observatory of Japan, 2-21-1 Osawa, Mitaka, 181-8588 Tokyo, Japan Molendi, Silvano GRID:grid.450005.4 IASF, Milan INAF - IASF Milano, Via Alfonso Corti 12, I-20133 Milano, Italy Pajot, François GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Pointecouteau, Etienne GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Porter, Frederick GRID:grid.133275.1 NASA, Goddard NASA Goddard Space Flight Center, 8800 Greenbelt Rd, 20771 Greenbelt, MD, US Pratt, Gabriel W. AIM, Saclay Département d’Astrophysique, UMR AIM, Orme des Merisiers, Bât 709, 91191 Gif sur Yvette, France Prêle, Damien GRID:grid.462017.6 APC, Paris Université Paris Cité, CNRS, CEA, Astroparticule et Cosmologie (APC), F-75013 Paris, France Ravera, Laurent GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Sato, Kosuke GRID:grid.263023.6 Saitama U. Department of Physics, Saitama University, 255 Shimo-Okubo, Sakura-ku, 338-8570 Saitama, Japan Schaye, Joop GRID:grid.5132.5 Leiden Observ. Leiden Observatory, Leiden University, PO Box 9513, NL-2300 Leiden, RA, The Netherlands Shinozaki, Keisuke GRID:grid.62167.34 JAEA, Ibaraki Japan Aerospace Exploration Agency, Research Unit II (U2), Research and Development Directorate, 305-8505 2-1-1, Sengen, Tsukuba, Ibaraki, Japan Skup, Konrad GRID:grid.423929.7 Warsaw, Space Res. Ctr. Centrum Badan Kosmicznych, Polish Academy of Science, Bartycka 18a, 00-716 Warszawa, Poland Soucek, Jan GRID:grid.448082.2 Astron. Inst., Praque Institute of Atmospheric Physics, Czech Academy of Science, Bocni II 1401, 14131 Praha 4, Czech Republic Thibert, Tanguy Liege U. Centre Spatial de Liège, Liège Science Park, Avenue du Pré-Aily, 4031 Angleur, Belgium Vink, Jacco GRID:grid.7177.6 Amsterdam U., Astron. Inst. Anton Pannekoek Institute/GRAPPA, University of Amsterdam, PO Box 94249, 1090 Amsterdam, GE, The Netherlands Webb, Natalie GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Chaoul, Laurence GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Raulin, Desi GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Simionescu, Aurora GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Torrejon, Jose Miguel GRID:grid.5268.9 Cordoba U., Spain Instituto de Fisica Aplicada a las Ciencias y las Tecnologias, Universidad de Alicante, Carretera de San Vicente del Raspeig s/n, 03090 Alicante, San Vicente del Raspeig, Spain Acero, Fabio AIM, Saclay Département d’Astrophysique, UMR AIM, Orme des Merisiers, Bât 709, 91191 Gif sur Yvette, France Branduardi-Raymont, Graziella GRID:grid.83440.3b Mullard Space Sci. Lab. Mullard Space Science Laboratory of University College London, Holmbury House, RH5 6NT Holmbury St Mary, Dorking, Surrey, UK Ettori, Stefano GRID:grid.4293.c Bologna Observ. INAF, Osservatorio di Astrofisica e Scienza dello Spazio, via Gobetti 93/3, 40129 Bologna, Italy Finoguenov, Alexis GRID:grid.7737.4 Helsinki Inst. of Phys. Department of Physics, Faculty of Science, University of Helsinki, P.O. Box 64 (Gustaf Hällströmin katu 2), FI-00014 Helsinki, Finland Grosso, Nicolas GRID:grid.463707.1 Marseille, Lab. Astrophys. LAM - Laboratoire d’Astrophysique de Marseille, Pôle de l’Étoile Site de Château-Gombert, 38, rue Frédéric Joliot-Curie, 13388 Marseille cedex 13, France Kaastra, Jelle GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Mazzotta, Pasquale GRID:grid.6530.0 Rome U., Tor Vergata Dipartimento di Fisica, Universita di Roma Tor Vergata, Via Della Ricerca Scientifica 1, I-00133 Roma, Italy Miller, Jon GRID:grid.214458.e Michigan U. Department of Astronomy, University of Michigan, 1085 South University Avenue, 323 West Hall, 48109-1107 Ann Arbor, MI, USA Miniutti, Giovanni GRID:grid.462011.0 LBNL, NSD Centro de Astrobiología (CSIC-INTA), Dep. de AstrofísicaUnidad María de Maeztu, European Space Astronomy Centre (ESA-ESAC), Camino Bajo del Castillo s/n - Villafranca del Castillo, 28692 Villanueva de la Cañada, Madrid, Spain Nicastro, Fabrizio GRID:grid.463298.2 Rome Observ. INAF - Osservatorio Astronomico di Roma, Via Frascati, 33, 00040 Rome, Monte Porzio Catone, Italy Sciortino, Salvatore GRID:grid.466954.c Palermo Observ. INAF/Osservatorio Astronomico di Palermo G.S.Vaiana, Piazza del Parlamento 1, 90134 Palermo, Italy Yamaguchi, Hiroya GRID:grid.450279.d JAXA, Sagamihara Institute of Space and Astronautical Science (ISAS), 3-1-1 Yoshinodai, Chuo-ku, 252-5210 Sagamihara, Japan Beaumont, Sophie GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Cucchetti, Edoardo GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France D'Andrea, Matteo GRID:grid.466835.a INAF, IAPS, Rome Istituto di Astrofisica e Planetologia Spaziali, Via Fosso del Cavaliere 100, 00133 Roma, Italy Eckart, Megan GRID:grid.250008.f LLNL, Livermore Lawrence Livermore National Laboratory, 7000 East Avenue, L-509, 94550 Livermore, CA, USA Ferrando, Philippe AIM, Saclay Département d’Astrophysique, UMR AIM, Orme des Merisiers, Bât 709, 91191 Gif sur Yvette, France Kammoun, Elias GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Lotti, Simone GRID:grid.466835.a INAF, IAPS, Rome Istituto di Astrofisica e Planetologia Spaziali, Via Fosso del Cavaliere 100, 00133 Roma, Italy Mesnager, Jean-Michel GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Natalucci, Lorenzo GRID:grid.466835.a INAF, IAPS, Rome Istituto di Astrofisica e Planetologia Spaziali, Via Fosso del Cavaliere 100, 00133 Roma, Italy Peille, Philippe Philippe.Peille@cnes.fr GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France de Plaa, Jelle GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Ardellier, Florence GRID:grid.462017.6 APC, Paris Université Paris Cité, CNRS, CEA, Astroparticule et Cosmologie (APC), F-75013 Paris, France Argan, Andrea GRID:grid.4293.c Rome Observ. INAF Headquarter, Viale del Parco Mellini 84, 00136 Rome, Italy Bellouard, Elise GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Carron, Jérôme GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Cavazzuti, Elisabetta GRID:grid.423784.e ASI, Rome Agenzia Spaziale Italiana, Unita’ di Ricerca Scientifica, Via del Politecnico snc, 00133 Roma, Italia Fiorini, Mauro GRID:grid.450005.4 IASF, Milan INAF - IASF Milano, Via Alfonso Corti 12, I-20133 Milano, Italy Khosropanah, Pourya GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Martin, Sylvain GRID:grid.457348.9 SBT, Grenoble Département des Systèmes Basses Températures, CEA-Grenoble, 17 Avenue Des Martyrs, 38054 Grenoble cedex 99, France Perry, James GRID:grid.133275.1 NASA, Goddard NASA Goddard Space Flight Center, 8800 Greenbelt Rd, 20771 Greenbelt, MD, US Pinsard, Frederic AIM, Saclay Département d’Astrophysique, UMR AIM, Orme des Merisiers, Bât 709, 91191 Gif sur Yvette, France Pradines, Alice GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Rigano, Manuela GRID:grid.5606.5 Genoa U. Dipartimento di Fisica, Università di Genova, Via Dodecaneso 33, 16146 Genova, Italy Roelfsema, Peter GRID:grid.451248.e Groningen U. SRON Netherlands Institute for Space Research, Landleven 12, 9747 Groningen, AD, The Netherlands Schwander, Denis GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Torrioli, Guido GRID:grid.5326.2 IFN, Rome Istituto di Fotonica et Nanotecnologie - Consiglio Nazionale Ricerche, Via Cineto Romano 42, 00156 Roma, Italia Ullom, Joel GRID:grid.94225.38 NIST, Boulder National Institute of Standards and Technology, 325 Broadway, 80305-3328 Boulder, CO, USA Vera, Isabel GRID:grid.15312.34 INTA, Madrid INTA, Crtra de Ajalvir km 4, 28850, Torrejon de Ardoz, Madrid, Spain Villegas, Eduardo Medinaceli GRID:grid.4293.c Bologna Observ. INAF, Osservatorio di Astrofisica e Scienza dello Spazio, via Gobetti 93/3, 40129 Bologna, Italy Zuchniak, Monika GRID:grid.436383.9 Wroclaw U., Astro. Inst. Centrum Astronomiczne im. Mikołaja Kopernika Polskiej Akademii Nauk, ul. Bartycka 18, 00-716 Warszawa, Poland Brachet, Frank GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Cicero, Ugo Lo GRID:grid.466954.c Palermo Observ. INAF/Osservatorio Astronomico di Palermo G.S.Vaiana, Piazza del Parlamento 1, 90134 Palermo, Italy Doriese, William GRID:grid.94225.38 NIST, Boulder National Institute of Standards and Technology, 325 Broadway, 80305-3328 Boulder, CO, USA Durkin, Malcom GRID:grid.94225.38 NIST, Boulder National Institute of Standards and Technology, 325 Broadway, 80305-3328 Boulder, CO, USA Fioretti, Valentina GRID:grid.4293.c Bologna Observ. INAF, Osservatorio di Astrofisica e Scienza dello Spazio, via Gobetti 93/3, 40129 Bologna, Italy Geoffray, Hervé GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Jacques, Lionel Liege U. Centre Spatial de Liège, Liège Science Park, Avenue du Pré-Aily, 4031 Angleur, Belgium Kirsch, Christian GRID:grid.5330.5 Erlangen - Nuremberg U. Astronomical Institute of the FAU, Erlangen Centre for Astroparticle Physics, University of Erlangen-Nüremberg, Sternwartstr. 7, 96049 Bamberg, Germany Smith, Stephen GRID:grid.133275.1 NASA, Goddard NASA Goddard Space Flight Center, 8800 Greenbelt Rd, 20771 Greenbelt, MD, US Adams, Joseph GRID:grid.266673.0 Maryland U., Baltimore County University of Maryland Baltimore County, 1000 Hilltop Circle, 21250 Baltimore, MD, USA Gloaguen, Emilie GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Hoogeveen, Ruud GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands van der Hulst, Paul GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Kiviranta, Mikko GRID:grid.6324.3 Oy Ajat, Espoo VTT, Tietotie 3, FIN-02150 Espoo, Finland van der Kuur, Jan GRID:grid.451248.e Groningen U. SRON Netherlands Institute for Space Research, Landleven 12, 9747 Groningen, AD, The Netherlands Ledot, Aurélien GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France van Leeuwen, Bert-Joost GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands van Loon, Dennis GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Lyautey, Bertrand GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Parot, Yann GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Sakai, Kazuhiro GRID:grid.266673.0 Maryland U., Baltimore County University of Maryland Baltimore County, 1000 Hilltop Circle, 21250 Baltimore, MD, USA van Weers, Henk GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Abdoelkariem, Shariefa GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Adam, Thomas GRID:grid.457348.9 SBT, Grenoble Département des Systèmes Basses Températures, CEA-Grenoble, 17 Avenue Des Martyrs, 38054 Grenoble cedex 99, France Adami, Christophe GRID:grid.463707.1 Marseille, Lab. Astrophys. LAM - Laboratoire d’Astrophysique de Marseille, Pôle de l’Étoile Site de Château-Gombert, 38, rue Frédéric Joliot-Curie, 13388 Marseille cedex 13, France Aicardi, Corinne GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Akamatsu, Hiroki GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Alonso, Pablo Eleazar Merino GRID:grid.5268.9 Cordoba U., Spain Instituto de Fisica Aplicada a las Ciencias y las Tecnologias, Universidad de Alicante, Carretera de San Vicente del Raspeig s/n, 03090 Alicante, San Vicente del Raspeig, Spain Amato, Roberta GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France André, Jérôme GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Angelinelli, Matteo GRID:grid.4293.c Bologna Observ. INAF, Osservatorio di Astrofisica e Scienza dello Spazio, via Gobetti 93/3, 40129 Bologna, Italy Anon-Cancela, Manuel GRID:grid.15312.34 INTA, Madrid INTA, Crtra de Ajalvir km 4, 28850, Torrejon de Ardoz, Madrid, Spain Anvar, Shebli AIM, Saclay Département d’Astrophysique, UMR AIM, Orme des Merisiers, Bât 709, 91191 Gif sur Yvette, France Atienza, Ricardo GRID:grid.15312.34 INTA, Madrid INTA, Crtra de Ajalvir km 4, 28850, Torrejon de Ardoz, Madrid, Spain Attard, Anthony GRID:grid.457348.9 SBT, Grenoble Département des Systèmes Basses Températures, CEA-Grenoble, 17 Avenue Des Martyrs, 38054 Grenoble cedex 99, France Auricchio, Natalia GRID:grid.4293.c Bologna Observ. INAF, Osservatorio di Astrofisica e Scienza dello Spazio, via Gobetti 93/3, 40129 Bologna, Italy Balado, Ana GRID:grid.15312.34 INTA, Madrid INTA, Crtra de Ajalvir km 4, 28850, Torrejon de Ardoz, Madrid, Spain Bancel, Florian GRID:grid.457348.9 SBT, Grenoble Département des Systèmes Basses Températures, CEA-Grenoble, 17 Avenue Des Martyrs, 38054 Grenoble cedex 99, France Ferrari Barusso, Lorenzo GRID:grid.5606.5 Genoa U. Dipartimento di Fisica, Università di Genova, Via Dodecaneso 33, 16146 Genova, Italy Bascuñan, Arturo GRID:grid.15312.34 INTA, Crtra de Ajalvir km 4, 28850, Torrejon de Ardoz, Madrid, Spain Bernard, Vivian GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Berrocal, Alicia GRID:grid.15312.34 INTA, Madrid INTA, Crtra de Ajalvir km 4, 28850, Torrejon de Ardoz, Madrid, Spain Blin, Sylvie GRID:grid.462017.6 APC, Paris Université Paris Cité, CNRS, CEA, Astroparticule et Cosmologie (APC), F-75013 Paris, France Bonino, Donata GRID:grid.436940.c Turin Observ. INAF - Osservatorio Astrofisico di Torino, Via Osservatorio 20, 10025 Pino Torinese, TO, Italy Bonnet, François GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Bonny, Patrick GRID:grid.457348.9 SBT, Grenoble Département des Systèmes Basses Températures, CEA-Grenoble, 17 Avenue Des Martyrs, 38054 Grenoble cedex 99, France Boorman, Peter GRID:grid.423799.2 Astron. Inst., Praque Astronomical Institute, Czech Academy of Sciences, Bocni II 1401/1, CZ-14100 Praha 4, Czech Republic Boreux, Charles AIM, Saclay Département d’Astrophysique, UMR AIM, Orme des Merisiers, Bât 709, 91191 Gif sur Yvette, France Bounab, Ayoub AIM, Saclay Département d’Astrophysique, UMR AIM, Orme des Merisiers, Bât 709, 91191 Gif sur Yvette, France Boutelier, Martin GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Boyce, Kevin GRID:grid.133275.1 NASA, Goddard NASA Goddard Space Flight Center, 8800 Greenbelt Rd, 20771 Greenbelt, MD, US Brienza, Daniele GRID:grid.466835.a INAF, IAPS, Rome Istituto di Astrofisica e Planetologia Spaziali, Via Fosso del Cavaliere 100, 00133 Roma, Italy Bruijn, Marcel GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Bulgarelli, Andrea GRID:grid.4293.c Bologna Observ. INAF, Osservatorio di Astrofisica e Scienza dello Spazio, via Gobetti 93/3, 40129 Bologna, Italy Calarco, Simona GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Callanan, Paul GRID:grid.7872.a University Coll., Cork University College Cork, College Rd, Cork, Ireland Campello, Alberto Prada GRID:grid.15312.34 INTA, Crtra de Ajalvir km 4, 28850, Torrejon de Ardoz, Madrid, Spain Camus, Thierry GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Canourgues, Florent GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Capobianco, Vito GRID:grid.436940.c Turin Observ. INAF - Osservatorio Astrofisico di Torino, Via Osservatorio 20, 10025 Pino Torinese, TO, Italy Cardiel, Nicolas GRID:grid.4795.f Madrid U. Departamento de Física de la Tierra y Astrofísica, Facultad de Ciencias Físicas, Universidad Complutense de Madrid, Ciudad Universitaria, 28040 Madrid, Spain Castellani, Florent GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Cheatom, Oscar GRID:grid.133275.1 NASA, Goddard NASA Goddard Space Flight Center, 8800 Greenbelt Rd, 20771 Greenbelt, MD, US Chervenak, James GRID:grid.133275.1 NASA, Goddard NASA Goddard Space Flight Center, 8800 Greenbelt Rd, 20771 Greenbelt, MD, US Chiarello, Fabio GRID:grid.5326.2 IFN, Rome Istituto di Fotonica et Nanotecnologie - Consiglio Nazionale Ricerche, Via Cineto Romano 42, 00156 Roma, Italia Clerc, Laurent GRID:grid.457348.9 SBT, Grenoble Département des Systèmes Basses Températures, CEA-Grenoble, 17 Avenue Des Martyrs, 38054 Grenoble cedex 99, France Clerc, Nicolas GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Cobo, Beatriz GRID:grid.469953.4 Cantabria Inst. of Phys. Instituto de Física de Cantabria (CSIC-UC) Edificio Juan Jordá, Avenida de los Castros, s/n - E-39005, Santander, Cantabria, Spain Coeur-Joly, Odile GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Coleiro, Alexis GRID:grid.462017.6 APC, Paris Université Paris Cité, CNRS, CEA, Astroparticule et Cosmologie (APC), F-75013 Paris, France Colonges, Stéphane GRID:grid.462017.6 APC, Paris Université Paris Cité, CNRS, CEA, Astroparticule et Cosmologie (APC), F-75013 Paris, France Corcione, Leonardo GRID:grid.436940.c Turin Observ. INAF - Osservatorio Astrofisico di Torino, Via Osservatorio 20, 10025 Pino Torinese, TO, Italy Coriat, Mickael GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Coynel, Alexandre GRID:grid.457348.9 SBT, Grenoble Département des Systèmes Basses Températures, CEA-Grenoble, 17 Avenue Des Martyrs, 38054 Grenoble cedex 99, France Cuttaia, Francesco GRID:grid.4293.c Bologna Observ. INAF, Osservatorio di Astrofisica e Scienza dello Spazio, via Gobetti 93/3, 40129 Bologna, Italy D'Ai, Antonino IASF, Palermo IASF-Palermo, via Ugo La Malfa 153, 90146 Palermo, Italy D'anca, Fabio GRID:grid.466954.c Palermo Observ. INAF/Osservatorio Astronomico di Palermo G.S.Vaiana, Piazza del Parlamento 1, 90134 Palermo, Italy Dadina, Mauro GRID:grid.4293.c Bologna Observ. INAF, Osservatorio di Astrofisica e Scienza dello Spazio, via Gobetti 93/3, 40129 Bologna, Italy Daniel, Christophe GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Dauner, Lea GRID:grid.5330.5 Astronomical Institute of the FAU, Erlangen Centre for Astroparticle Physics, University of Erlangen-Nüremberg, Sternwartstr. 7, 96049 Bamberg, Germany DeNigris, Natalie GRID:grid.133275.1 NASA, Goddard NASA Goddard Space Flight Center, 8800 Greenbelt Rd, 20771 Greenbelt, MD, US Dercksen, Johannes GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands DiPirro, Michael GRID:grid.133275.1 NASA, Goddard NASA Goddard Space Flight Center, 8800 Greenbelt Rd, 20771 Greenbelt, MD, US Doumayrou, Eric AIM, Saclay Département d’Astrophysique, UMR AIM, Orme des Merisiers, Bât 709, 91191 Gif sur Yvette, France Dubbeldam, Luc GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Dupieux, Michel GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Dupourqué, Simon GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Durand, Jean Louis GRID:grid.457348.9 SBT, Grenoble Département des Systèmes Basses Températures, CEA-Grenoble, 17 Avenue Des Martyrs, 38054 Grenoble cedex 99, France Eckert, Dominique GRID:grid.8591.5 U. Geneva (main) Département d’Astronomie, Université de Genève, Chemin d’Ecogia 16, CH-1290 Versoix, Switzerland Eiriz, Valvanera GRID:grid.15312.34 INTA, Madrid INTA, Crtra de Ajalvir km 4, 28850, Torrejon de Ardoz, Madrid, Spain Ercolani, Eric GRID:grid.457348.9 SBT, Grenoble Département des Systèmes Basses Températures, CEA-Grenoble, 17 Avenue Des Martyrs, 38054 Grenoble cedex 99, France Etcheverry, Christophe GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Finkbeiner, Fred GRID:grid.133275.1 NASA, Goddard NASA Goddard Space Flight Center, 8800 Greenbelt Rd, 20771 Greenbelt, MD, US Fiocchi, Mariateresa GRID:grid.466835.a INAF, IAPS, Rome Istituto di Astrofisica e Planetologia Spaziali, Via Fosso del Cavaliere 100, 00133 Roma, Italy Fossecave, Hervé GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Franssen, Philippe Liege U. Centre Spatial de Liège, Liège Science Park, Avenue du Pré-Aily, 4031 Angleur, Belgium Frericks, Martin GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Gabici, Stefano GRID:grid.462017.6 APC, Paris Université Paris Cité, CNRS, CEA, Astroparticule et Cosmologie (APC), F-75013 Paris, France Gant, Florent GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Gao, Jian-Rong GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Gastaldello, Fabio GRID:grid.450005.4 IASF, Milan INAF - IASF Milano, Via Alfonso Corti 12, I-20133 Milano, Italy Genolet, Ludovic GRID:grid.8591.5 U. Geneva (main) Département d’Astronomie, Université de Genève, Chemin d’Ecogia 16, CH-1290 Versoix, Switzerland Ghizzardi, Simona GRID:grid.450005.4 IASF, Milan INAF - IASF Milano, Via Alfonso Corti 12, I-20133 Milano, Italy Gil, M. Angeles Alcacera GRID:grid.15312.34 INTA, Madrid INTA, Crtra de Ajalvir km 4, 28850, Torrejon de Ardoz, Madrid, Spain Giovannini, Elisa GRID:grid.5326.2 IFN, Rome Istituto di Fotonica et Nanotecnologie - Consiglio Nazionale Ricerche, Via Cineto Romano 42, 00156 Roma, Italia Godet, Olivier GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Gomez-Elvira, Javier GRID:grid.15312.34 INTA, Madrid INTA, Crtra de Ajalvir km 4, 28850, Torrejon de Ardoz, Madrid, Spain Gonzalez, Raoul GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Gonzalez, Manuel GRID:grid.462017.6 APC, Paris Université Paris Cité, CNRS, CEA, Astroparticule et Cosmologie (APC), F-75013 Paris, France Gottardi, Luciano GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Granat, Dolorès GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Gros, Michel AIM, Saclay Département d’Astrophysique, UMR AIM, Orme des Merisiers, Bât 709, 91191 Gif sur Yvette, France Guignard, Nicolas GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Hieltjes, Paul GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Hurtado, Adolfo Jesus GRID:grid.15312.34 INTA, Madrid INTA, Crtra de Ajalvir km 4, 28850, Torrejon de Ardoz, Madrid, Spain Irwin, Kent GRID:grid.168010.e Stanford U., ITP Stanford University, 94305 Stanford, CA, USA Jacquey, Christian GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Janiuk, Agnieszka GRID:grid.433082.e Warsaw, CFT Center for Theoretical Physics, Polish Academy of Sciences, Al. Lotnikow 32/46, 02-668 Warsaw, Poland Jaubert, Jean GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Jiménez, Maria GRID:grid.15312.34 INTA, Madrid INTA, Crtra de Ajalvir km 4, 28850, Torrejon de Ardoz, Madrid, Spain Jolly, Antoine GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Jourdan, Thierry GRID:grid.457348.9 SBT, Grenoble Département des Systèmes Basses Températures, CEA-Grenoble, 17 Avenue Des Martyrs, 38054 Grenoble cedex 99, France Julien, Sabine GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Kedziora, Bartosz GRID:grid.460345.0 Warsaw, Copernicus Astron. Ctr. Astronika, ul. Bartycka 18, Office no. 33, 00-716 Warszawa, Poland Korb, Andrew GRID:grid.133275.1 NASA, Goddard NASA Goddard Space Flight Center, 8800 Greenbelt Rd, 20771 Greenbelt, MD, US Kreykenbohm, Ingo GRID:grid.5330.5 Erlangen - Nuremberg U. Astronomical Institute of the FAU, Erlangen Centre for Astroparticle Physics, University of Erlangen-Nüremberg, Sternwartstr. 7, 96049 Bamberg, Germany König, Ole GRID:grid.5330.5 Erlangen - Nuremberg U. Astronomical Institute of the FAU, Erlangen Centre for Astroparticle Physics, University of Erlangen-Nüremberg, Sternwartstr. 7, 96049 Bamberg, Germany Langer, Mathieu GRID:grid.460789.4 Orsay, IAS Institut d’Astrophysique Spatiale, Université Paris Saclay, Bât. 120-1, 91405 Orsay, France Laudet, Philippe GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Laurent, Philippe AIM, Saclay Département d’Astrophysique, UMR AIM, Orme des Merisiers, Bât 709, 91191 Gif sur Yvette, France Laurenza, Monica GRID:grid.466835.a INAF, IAPS, Rome Istituto di Astrofisica e Planetologia Spaziali, Via Fosso del Cavaliere 100, 00133 Roma, Italy Lesrel, Jean GRID:grid.462017.6 APC, Paris Université Paris Cité, CNRS, CEA, Astroparticule et Cosmologie (APC), F-75013 Paris, France Ligori, Sebastiano GRID:grid.436940.c Turin Observ. INAF - Osservatorio Astrofisico di Torino, Via Osservatorio 20, 10025 Pino Torinese, TO, Italy Lorenz, Maximilian GRID:grid.5330.5 Erlangen - Nuremberg U. Astronomical Institute of the FAU, Erlangen Centre for Astroparticle Physics, University of Erlangen-Nüremberg, Sternwartstr. 7, 96049 Bamberg, Germany Luminari, Alfredo GRID:grid.466835.a INAF, IAPS, Rome Istituto di Astrofisica e Planetologia Spaziali, Via Fosso del Cavaliere 100, 00133 Roma, Italy Maffei, Bruno GRID:grid.460789.4 Orsay, IAS Institut d’Astrophysique Spatiale, Université Paris Saclay, Bât. 120-1, 91405 Orsay, France Maisonnave, Océane GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Marelli, Lorenzo GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Massonet, Didier GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Maussang, Irwin GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Melchor, Alejandro Gonzalo GRID:grid.15312.34 INTA, Madrid INTA, Crtra de Ajalvir km 4, 28850, Torrejon de Ardoz, Madrid, Spain Le Mer, Isabelle AIM, Saclay Département d’Astrophysique, UMR AIM, Orme des Merisiers, Bât 709, 91191 Gif sur Yvette, France Michalski, Lea Erlangen - Nuremberg U. ECAP Millan, Francisco Javier San GRID:grid.15312.34 INTA, Crtra de Ajalvir km 4, 28850, Torrejon de Ardoz, Madrid, Spain Millerioux, Jean-Pierre GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Mineo, Teresa IASF, Palermo IASF-Palermo, via Ugo La Malfa 153, 90146 Palermo, Italy Minervini, Gabriele GRID:grid.466835.a INAF, IAPS, Rome Istituto di Astrofisica e Planetologia Spaziali, Via Fosso del Cavaliere 100, 00133 Roma, Italy Molin, Alexe¨ı GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Monestes, David GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Montinaro, Nicola GRID:grid.10776.37 Palermo U. Dipartimento di Fisica e Chimica, Università degli Studi di Palermo, Via Archirafi, 36, 90123 Palermo, Italy Mot, Baptiste GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Murat, David GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Nagayoshi, Kenichiro GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Nazé, Yaël GRID:grid.4861.b Liege U. Institut d’Astrophysique et de Géophysique, Université de Liège, Quartier Agora, Allée du 6 Août 19c, B-4000 Liège 1 (Sart-Tilman), Belgium Noguès, Lo¨ıc GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Pailot, Damien GRID:grid.462017.6 APC, Paris Université Paris Cité, CNRS, CEA, Astroparticule et Cosmologie (APC), F-75013 Paris, France Panessa, Francesca GRID:grid.466835.a INAF, IAPS, Rome Istituto di Astrofisica e Planetologia Spaziali, Via Fosso del Cavaliere 100, 00133 Roma, Italy Parodi, Luigi GRID:grid.5606.5 Genoa U. Dipartimento di Fisica, Università di Genova, Via Dodecaneso 33, 16146 Genova, Italy Petit, Pascal GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Piconcelli, Enrico GRID:grid.463298.2 Rome Observ. INAF - Osservatorio Astronomico di Roma, Via Frascati, 33, 00040 Rome, Monte Porzio Catone, Italy Pinto, Ciro IASF, Palermo IASF-Palermo, via Ugo La Malfa 153, 90146 Palermo, Italy Plaza, Jose Miguel Encinas GRID:grid.15312.34 INTA, Madrid INTA, Crtra de Ajalvir km 4, 28850, Torrejon de Ardoz, Madrid, Spain Plaza, Borja GRID:grid.15312.34 INTA, Crtra de Ajalvir km 4, 28850, Torrejon de Ardoz, Madrid, Spain Poyatos, David GRID:grid.15312.34 INTA, Madrid INTA, Crtra de Ajalvir km 4, 28850, Torrejon de Ardoz, Madrid, Spain Prouvé, Thomas GRID:grid.457348.9 SBT, Grenoble Département des Systèmes Basses Températures, CEA-Grenoble, 17 Avenue Des Martyrs, 38054 Grenoble cedex 99, France Ptak, Andy GRID:grid.133275.1 NASA, Goddard NASA Goddard Space Flight Center, 8800 Greenbelt Rd, 20771 Greenbelt, MD, US Puccetti, Simonetta GRID:grid.423784.e ASI, Rome Agenzia Spaziale Italiana, Unita’ di Ricerca Scientifica, Via del Politecnico snc, 00133 Roma, Italia Puccio, Elena GRID:grid.10776.37 Palermo U. Dipartimento di Fisica e Chimica, Università degli Studi di Palermo, Via Archirafi, 36, 90123 Palermo, Italy Ramon, Pascale GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Reina, Manuel GRID:grid.15312.34 INTA, Madrid INTA, Crtra de Ajalvir km 4, 28850, Torrejon de Ardoz, Madrid, Spain Rioland, Guillaume GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Rodriguez, Louis AIM, Saclay Département d’Astrophysique, UMR AIM, Orme des Merisiers, Bât 709, 91191 Gif sur Yvette, France Roig, Anton GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Rollet, Bertrand GRID:grid.457348.9 SBT, Grenoble Département des Systèmes Basses Températures, CEA-Grenoble, 17 Avenue Des Martyrs, 38054 Grenoble cedex 99, France Roncarelli, Mauro GRID:grid.4293.c Bologna Observ. INAF, Osservatorio di Astrofisica e Scienza dello Spazio, via Gobetti 93/3, 40129 Bologna, Italy Roudil, Gilles GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Rudnicki, Tomasz GRID:grid.423929.7 Warsaw, Space Res. Ctr. Centrum Badan Kosmicznych, Polish Academy of Science, Bartycka 18a, 00-716 Warszawa, Poland Sanisidro, Julien GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Sciortino, Luisa GRID:grid.10776.37 Palermo U. Dipartimento di Fisica e Chimica, Università degli Studi di Palermo, Via Archirafi 36, 90123 Palermo, Italy Silva, Vitor GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Sordet, Michael GRID:grid.8591.5 U. Geneva (main) Département d’Astronomie, Université de Genève, Chemin d’Ecogia 16, CH-1290 Versoix, Switzerland Soto-Aguilar, Javier GRID:grid.462168.f IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, UPS, CNES 9, Avenue du Colonel Roche, BP 44346, F-31028 Toulouse Cedex 4, France Spizzi, Pierre GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Surace, Christian GRID:grid.463707.1 Marseille, Lab. Astrophys. LAM - Laboratoire d’Astrophysique de Marseille, Pôle de l’Étoile Site de Château-Gombert, 38, rue Frédéric Joliot-Curie, 13388 Marseille cedex 13, France Sánchez, Miguel Fernández GRID:grid.15312.34 INTA, Madrid INTA, Crtra de Ajalvir km 4, 28850, Torrejon de Ardoz, Madrid, Spain Taralli, Emanuele GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Terrasa, Guilhem Liege U. Centre Spatial de Liège, Liège Science Park, Avenue du Pré-Aily, 4031 Angleur, Belgium Terrier, Régis GRID:grid.462017.6 APC, Paris Université Paris Cité, CNRS, CEA, Astroparticule et Cosmologie (APC), F-75013 Paris, France Todaro, Michela GRID:grid.10776.37 Palermo U. Dipartimento di Fisica e Chimica, Università degli Studi di Palermo, Via Archirafi, 36, 90123 Palermo, Italy Ubertini, Pietro GRID:grid.466835.a INAF, IAPS, Rome Istituto di Astrofisica e Planetologia Spaziali, Via Fosso del Cavaliere 100, 00133 Roma, Italy Uslenghi, Michela GRID:grid.450005.4 IASF, Milan INAF - IASF Milano, Via Alfonso Corti 12, I-20133 Milano, Italy de Vaate, Jan Geralt Bij GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Vaccaro, Davide GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Varisco, Salvatore GRID:grid.466954.c Palermo Observ. INAF/Osservatorio Astronomico di Palermo G.S.Vaiana, Piazza del Parlamento 1, 90134 Palermo, Italy Varnière, Peggy GRID:grid.462017.6 APC, Paris Université Paris Cité, CNRS, CEA, Astroparticule et Cosmologie (APC), F-75013 Paris, France Vibert, Laurent GRID:grid.460789.4 Orsay, IAS Institut d’Astrophysique Spatiale, Université Paris Saclay, Bât. 120-1, 91405 Orsay, France Vidriales, María GRID:grid.15312.34 INTA, Madrid INTA, Crtra de Ajalvir km 4, 28850, Torrejon de Ardoz, Madrid, Spain Villa, Fabrizio GRID:grid.4293.c Bologna Observ. INAF, Osservatorio di Astrofisica e Scienza dello Spazio, via Gobetti 93/3, 40129 Bologna, Italy Vodopivec, Boris Martin GRID:grid.15312.34 INTA, Madrid INTA, Crtra de Ajalvir km 4, 28850, Torrejon de Ardoz, Madrid, Spain Volpe, Angela GRID:grid.423784.e ASI, Rome Agenzia Spaziale Italiana, Unita’ di Ricerca Scientifica, Via del Politecnico snc, 00133 Roma, Italia de Vries, Cor GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Wakeham, Nicholas GRID:grid.133275.1 NASA, Goddard NASA Goddard Space Flight Center, 8800 Greenbelt Rd, 20771 Greenbelt, MD, US Walmsley, Gavin GRID:grid.13349.3c CNES, Toulouse Centre National d’Etudes Spatiales, Centre spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France Wise, Michael GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands de Wit, Martin GRID:grid.451248.e SRON, Utrecht SRON, Netherlands Institute for Space Research, Niels Bohrweg 4, 2333 Leiden, CA, The Netherlands Wózniak, Grzegorz GRID:grid.436383.9 Wroclaw U., Astro. Inst. Centrum Astronomiczne im. Mikołaja Kopernika Polskiej Akademii Nauk, ul. Bartycka 18, 00-716 Warszawa, Poland 373-426 2 Exp. Astron. 55 2023 2389063 334646 http://cds.cern.ch/record/2827089/files/Fig_Perseus_xifu_resolve.png 00003 Top) The Hitomi/SXS=XRISM/Resolve and X-IFU images and spectra of Perseus cluster. Credit: Jeremy Sanders (MPE). This combined figure shows at the same time the significant improvement in fine imaging, over a comparable field of view, as well as the higher throughput of X-IFU compared to Resolve (the two spectra are simulated with the same exposure time). Bottom) Effective area (left) and weak narrow line sensitivity (right) of X-IFU in comparison with the one of XRISM/Resolve and Chandra/XMM-Newton gratings (not encapsulated in that figure, the fact that the angular resolution will be ten times better for Athena/X-IFU compared to XRISM/Resolve). The effective area requirement applying to X-IFU are indicated with filled green square symbols. This assumes the mirror telescope configuration as described in ATHENA - Telescope Reference Design and Effective Area Estimates, ESA-ATHENA-ESTEC-PL-DD- 001, Issue 3.3, 21/12/2020 and the instrument efficiency presented in \S \ref{subsec_ie}. 2389064 331818 http://cds.cern.ch/record/2827089/files/Fig_WFEE.png 00010 Exploded view of one WFEE box with its main components highlighted: the ASIC module with the buffers, the row addressing signal buffer module and finally the regulator module and the converter filtering board. 2389065 291457 http://cds.cern.ch/record/2827089/files/Fig_XISC_overall_organisation.png 00027 The overall organisation structure for the \xisc. Only the Prime contributors are shown. Other contributions from Consortium partners will make up the \xisc. 2389066 140178 http://cds.cern.ch/record/2827089/files/Fig_Cryo_AC.png 00009 Left) Working principle of the \cryoac. Right) The \cryoac\ demonstration model and its cold front end electronics as used for the coupled test with prime micro-calorimeter array\cite{DAndrea_2022JLTP..tmp..139D}. 2389067 436481 http://cds.cern.ch/record/2827089/files/Fig_Filter_wheel.png 00017 Left) The various filter positions of the X-IFU FW. Right) The FW developed for Hitomi by the University of Geneva and the Swiss industry Ruag Space. The approximate size of the overall FW shown above is 351 mm (length) $\times$ 384 mm (width) $\times$ 100 mm (height)\cite{Bozzo_2016arXiv160903776B}. The X-IFU FW having one more filter will be significantly larger in diameter ($\sim 68$ cm). 2389068 240516 http://cds.cern.ch/record/2827089/files/Fig_xifu_pds456.png 00002 Left) Probing (slow) warm absorbers and (fast) massive outflows in AGN. Simulated 100 ks X-IFU spectrum of PDS456 (z=0.184) above 4 keV obtained assuming a source state as in the XMM+NuSTAR observations of PDS456 as shown in \cite{reeves2018ApJ...867...38R}. Right) X-IFU simulated observation lasting only ~120 seconds of the Black Hole binary GRS1915+105. A disk wind, as reported in \cite{miller2016ApJ...821L...9M} has been simulated. Strong spectral features can be clearly seen in the spectrum.This rich set of features will enable unprecedented studies of the structure of the disk winds. 2389069 137681 http://cds.cern.ch/record/2827089/files/Fig_TES_basic_principles.png 00006 Left) The schematic of a TES. Right) The resistance variation as a function of the temperature, showing a sharp rise in the transition region between the superconducting and normal states\cite{Ravera_2014SPIE.9144E..2LR}. 2389070 644746 http://cds.cern.ch/record/2827089/files/Fig_2KCore.png 00012 Left) The Focal Plane Assembly external layout, without FPA 2K baffle but with electrical interfaces with FPA Cold harnesses. Center) Hybrid Cooler Mechanical Assembly. Right) The 2K Frame 2389071 533903 http://cds.cern.ch/record/2827089/files/Fig_xifu_instrumental_backrgound.png 00023 Total background level (GCR protons, $\alpha$ particles and electrons) of $4.6 \pm 0.07 \times 10^{-3}$ counts cm$^{-2}$ s$^{-1}$ keV$^{-1}$, (no margin included), at a resolution of 1 keV on the left and 10 eV on the right. These 100 ks simulations were performed on the Kapton/Au passive shielding configuration, with the 0.25 mm clearance from the detector surface. Note that the gold fluorescence peak at 9.7 keV is clearly visible. 2389072 913636 http://cds.cern.ch/record/2827089/files/Fig_FPA.png 00013 Left) Left: The various sub-assemblies of the FPA-DM during integration. At the top left the Niobium shield is shown. The triangle in centre is one of three Kevlar cord assemblies which, together, form the suspension of the T1 stage. The hexagonal structure on the left is the partially assembled detector stage (see right figure). On the right, the first FPA-DM completely assembled. The front-side red cap is a protective cover to avoid contamination of the optical filter. The three front black covers will be replaced by the readout harness during further tests. The black back-side cover protects the sensitive electronics and internal harness of the FPA during transport and handling (van Weers et al., 2022, SPIE, submitteed and AthenaNuggets43). Right) Preliminary design concept of the T0 (50 mK) detector assembly. The TES array is mounted at the top of the structure and wire-bounded to an interconnect chip. Each carrier/interconnect chip holds 4 MUX SQUID chips with Indium bump-bonds realizing the required high-density, low-impedance contacts between the carrier and MUX SQUID chips. As a baseline, the Nb flex harness from the FPA's T2 stage will be glued to a rigid support that is mounted below the Carrier chip, allowing wire-bonding directly from the Nb flex harness to the carrier chip. 2389073 26283197 http://cds.cern.ch/record/2827089/files/2208.14562.pdf Fulltext 2389074 403178 http://cds.cern.ch/record/2827089/files/Fig_CAS.png 00018 Left) View of CAS with 6 MXS and 2 High Voltage Power Supply units (I-PRR Design). Center) One MXS Right) FW and CAS accommodation wrt Athena telescope X-Ray beam and detector visibility cone. 2389075 110152 http://cds.cern.ch/record/2827089/files/Fig_xifu_consortium_organisation.png 00028 The X-IFU Consortium organisation, highlighting the X-IFU Consortium Management Team, and the Project Manager and Principal Investigator interfaces. 2389076 102424 http://cds.cern.ch/record/2827089/files/Fig_xifu_calibration_strategy.png 00025 Calibration strategy outline.A check symbol \checkmark indicates when calibration activities are performed. Text entries indicate the component or sub-systems that are considered or other specific characterization or action. The red color highlights the last opportunity to calibrate the parameter. Italics refers to AIT/AIV activities. 2389077 758511 http://cds.cern.ch/record/2827089/files/Fig_Hybrid_cooler.png 00014 Top) The schematic of the Hybrid cooler mechanical assembly. Bottom left) The working principle of the sorption stage. Bottom right) The working principle of an Adiabatic Demagnetization Refrigerator (ADR). 2389078 669859 http://cds.cern.ch/record/2827089/files/Fig_TES_schematic_and_array_.png 00007 Left) Top-down view of pixel design. Center) Cross-section cartoon view of pixel layout. Right) Photograph of a X-IFU prototype hexagonal detector with more than 3000 pixels. 2389079 139109 http://cds.cern.ch/record/2827089/files/Fig_Cucchetti_simulations.png 00000 Examples of (Top:) Spatial distribution profiles of the ICM parameters for a nearby "typical" cluster. (From left to right): Plasma temperature in keV, abundance of iron (with respect to solar) and bulk motion (km/s) computed from the mean redshift of the cluster. White dots represent the excised point sources. (Bottom:) Corresponding normalised relative error distribution (\%) of output with respect to input histogram (green) along with Gaussian best fit (red solid line). Blue dashed lines indicate the mean values of the statistical error related to the fit. (Credits: \cite{cucchetti2018A&A...620A.173C}, simulations courtesy: S. Borgani, V. Biffi, K. Dolag, L. Tornatore, E. Rasia - INAF Trieste) 2389080 275092 http://cds.cern.ch/record/2827089/files/Fig_xifu_filament_z0.png 00001 Left) Simulated X-IFU spectrum of an intervening absorber in the Warm-Hot Intergalactic Medium at z=0.4339. The plot shows the ratio of the X-IFU data of the blazar 1ES 1553+113 with the local best-fitting continuum model, to highlight the two OVII He-$\alpha$ and He-$\beta$ absorption lines. The simulation is performed using the best fitting parameters derived from the long XMM-Newton RGS observations\cite{nicastro2018Natur.558..406N}. Right) A simulated X-IFU X-ray spectrum of a medium bright (fluence $=0.4 \times 10^{-6}$ erg cm$^{-2}$) Gamma-Ray Burst (GRB) afterglow at $z = 7$, characterized by deep narrow resonant lines of Fe, Si, S, Ar, Mg, from the gas in the environment of the GRB. An effective intrinsic column density of $2 \times 10^{22}$ cm$^{-2}$ has been adopted. 2389081 397318 http://cds.cern.ch/record/2827089/files/Fig_summary_througput.png 00022 Top: The defocused PSF of the Athena optics at 13 energies as seen by X-IFU\cite{Kammoun_2022arXiv220501126K}. The bottom rightmost panel shows the in-focus PSF at 1 keV (Half Energy Width = 5"), for comparison. The grid in this panel shows the X-IFU pixels. We note that the in-focus PSF is shown on a 20" × 20" image while the defocused PSF is shown on a 200" $\times$ 200" image. The full field of view of the X-IFU is of the order of 300" (equivalent diameter). Bottom: Summary of the throughput performance for all the observing cases specified in the X-IFU URD. Requirements and goals are shown with crosses. Top left: High resolution observation of a defocused point source. Top right: Limited resolution (10 eV) observation of a defocused point source (for the filter configuration, the plot includes the 5 \% loss due to the limited transmission of the beryllium filter in the 5 to 8 keV band of interest). Bottom left: High resolution observation of a focused point source. Bottom right: High resolution observation of an extended source. 2389082 568049 http://cds.cern.ch/record/2827089/files/Fig_Feedback_loop_TDM_Readout_principle.png 00008 Left) Illustration of the feedback loop used to null out the magnetic field sensed by the SQUID\cite{Irwin_2005cpd..book...63I}. Right) Schematic\cite{Durkin_2019ITAS...2904472D} of 2-column × 2-row TDM. Each dc-biased TES is read out by a first stage SQUID amplifier (SQ1) via inductive coupling (M$_{in1}$). A row of SQ1s is turned on by applying a row address current (I$_{RA}$) to the corresponding row address line, opening the row’s flux actuated switches. During TDM operation, rows are opened sequentially, reading out one TES per column at a time. Each column’s SQ1 signals are passed to a SQUID series array amplifier, whose voltage (V$_{er}$) is read out by room temperature electronics. 2389083 241152 http://cds.cern.ch/record/2827089/files/Fig_DRE.png 00011 Left) Layout of a DRE unit, with the warm harnesses connecting to the WFEE. Center) The rear of a DRE unit, showing covers to protect internal interfaces against electromagnetic interferences. Right) Physical breakdown of a DRE unit, made of 3 demultiplexing (DEMUX) modules, 1 raw addressing and synchronisation (RAS) module and one module holding the event processor (EP). The DC converter is located at the bottom of the DRE Unit. 2389084 86060 http://cds.cern.ch/record/2827089/files/Fig_fom1a.png 00004 Top) The Hitomi/SXS=XRISM/Resolve and X-IFU images and spectra of Perseus cluster. Credit: Jeremy Sanders (MPE). This combined figure shows at the same time the significant improvement in fine imaging, over a comparable field of view, as well as the higher throughput of X-IFU compared to Resolve (the two spectra are simulated with the same exposure time). Bottom) Effective area (left) and weak narrow line sensitivity (right) of X-IFU in comparison with the one of XRISM/Resolve and Chandra/XMM-Newton gratings (not encapsulated in that figure, the fact that the angular resolution will be ten times better for Athena/X-IFU compared to XRISM/Resolve). The effective area requirement applying to X-IFU are indicated with filled green square symbols. This assumes the mirror telescope configuration as described in ATHENA - Telescope Reference Design and Effective Area Estimates, ESA-ATHENA-ESTEC-PL-DD- 001, Issue 3.3, 21/12/2020 and the instrument efficiency presented in \S \ref{subsec_ie}. 2389085 1474065 http://cds.cern.ch/record/2827089/files/Fig_IRAP_cyrogenic_test_bench_and_INTA_TGSE.png 00026 Left) The snout is composed of a 1024 TES array with its associated cold readout electronics. The snout is placed in the niobium shield and connected to the 50 mK stage. Superconducting looms insure the signals connection to the 500 mK terminator card and then to the 3 K cold electronics\cite{Betancourt_2021arXiv210703412B} (see Castellani et al., 2022, SPIE submitted). Right) Conceptual scheme of the cryostat for testing and calibrating the Focal Plane Assembly of Athena/X-IFU. Credit: INTA – C2CC team (and AthenaNuggets62). 2389086 658650 http://cds.cern.ch/record/2827089/files/Fig_xifu_development_schedule.png 00024 Top panel) The main instrument/mission development phases. Mid panel) The main instrument test campaigns. Cryostat XIII refers to the on-going DCS development. Bottom panels) On the left the engineering model test campaign and on the right the proto-flight model test campaign. 2389087 410000 http://cds.cern.ch/record/2827089/files/Fig_Thermal_Filters.png 00015 Left) The stack of thermal filters located in the X-IFU field of view. Three filters have interfaces with the cryostat through the aperture cylinder, and 2 filters (the coldest) are located in the FPA. Right) THF300 schematic mounting of the film and supporting mesh inside the two-parts type frame. \textcircled{1} is the outer frame, \textcircled{2} is the inner frame, \textcircled{3} is the supporting mesh and \textcircled{4} is the thin polyimide/Al foil. 2389088 288260 http://cds.cern.ch/record/2827089/files/Fig_Aperture_Cylinder.png 00016 Left) The ApC architecture and interfaces. Right) Drawing of the mechanical design of the ApC. See Thibert et al., 2022, SPIE submitted. 2389089 422261 http://cds.cern.ch/record/2827089/files/Fig_TDM_spectral_resolution_from_smith_2021.png 00021 Left) From \cite{Smith_2021ITAS...3161918S} Co-added 8-column by 32-row spectra for (a) Ti-K$\alpha$, (b) Mn-K$\alpha$, (c) Co-K$\alpha$, (d) Cu-K$\alpha$ and (e) Br-K$\alpha$ (measured from K-Br). The red dots are the data points, the light blue lines are the natural lines shapes and the dark blue line is the fit to data. The fitted $\Delta$E (Full Width at Half Maximum, FWHM), number of counts and number of pixels included in each spectrum are shown on the figures (f) $\Delta$E FWHM as a function of energy for the 1-column by 40-row measurements\cite{Durkin_2019ITAS...2904472D} and the new 8-column by 32-row results (red squares). The improved $\Delta$E FWHM is attributed to lower noise, improvements in the dynamic behavior of the readout chain and more optimized TES bias point. The dashed black line shows the X-IFU instrument level resolution requirements, and the dashed blue line shows the currently assumed requirements considering only the detector and readout subsystem and excluding margin. Right) From \cite{Smith_2021ITAS...3161918S} $\Delta$E FWHM array heat map measured at Co-K$\alpha$. 2389090 64066 http://cds.cern.ch/record/2827089/files/Fig_xifu_nbcois_members_at_SRR.png 00029 The split of active members of the X-IFU Consortium and X-IFU co-investigators per country. Ireland and the United Kingdom have no identified contributions to the instrument or the ground segment but contribute to scientific activities. None have co-investigators. Note that people identified as contractors, observers or associates, in the Consortium database are not included as active members of the X-IFU Consortium. 2389091 244856 http://cds.cern.ch/record/2827089/files/Fig_xifu_physical_breakdown.png 00005 The Physical Breakdown of the X-IFU instrument, highlighting its main components, as well as the country responsible for the procurement. 2389092 186975 http://cds.cern.ch/record/2827089/files/Fig_instrument_efficiency.png 00020 The variation of the instrument efficiency with energy, according to the breakdown of Table \ref{tab:ie_allocation}. 2389093 703837 http://cds.cern.ch/record/2827089/files/Fig_Cold_Harnesses.png 00019 Cold harness overview, showing the three types of harnesses used for X-IFU. 13 ARTICLE DELETED 2826901 SzGeCERN 20230331115953.0 DOI MDPI 10.3390/app12178544 oai:cds.cern.ch:2826901 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2149437 2022-09-12T10:50:51Z 2022-09-13T04:02:42Z marcxml Inspire 2149437 eng Cristiano, Antonio ORCID:0000-0003-0106-5319 CERN MDPI Electro-Optic Sensor for Measuring Electrostatic Fields in the Frequency Domain 2022 18 p MDPI Precise measurements of electrostatic fields in harsh environments are required in fields ranging from particle accelerators to industrial installations. Many techniques disrupt the field distribution due to the presence of conductors. We present a fully dielectric sensor for very harsh environmental conditions, that exploits the Pockels effect manifested by electro-optic crystals. This system is designed to allow DC measurements to be performed in the frequency domain. The paper discusses an analytical model and simulations of the system, validated with experimental results. The working principle of the measurement technique is explained in detail along the known limitations and possible solutions to further increase the performance. publication CC-BY-4.0 MDPI Other https://creativecommons.org/licenses/by/4.0/ the authors 2022 author electro-optic systems author electro-optic crystals author electrostatic field measurements ARTICLE CERN Krupa, Michal ORCID:0000-0003-0093-2249 CERN Hill, Richard ORCID:0000-0003-0105-7730 Huddersfield U. 8544 17 Appl. Sciences 12 2022 2388533 3714174 http://cds.cern.ch/record/2826901/files/document.pdf Fulltext 13 ARTICLE 2826612 20251201182459.0 oai:cds.cern.ch:2826612 cerncds:TALK eng CERN. Geneva Sustainable HEP - 2nd edition CERN - Zoom only 2022-09-07T18:00:00 2022-09-07T18:18:00 1160140c12 Sustainability Platform needs humanpower and ideas 2022 2022-09-07 814 Streaming video TH institutes Sustainable HEP - 2nd edition 2022-09-07T18:00:00 <!--HTML-->Following the first Sustainable HEP workshop held online in June 2021, follow-up discussions centred around potential initiatives. These included the development of an online platform, focussed on environmental sustainability in our fields. The fledgling webpage (sustainable-hecap.github.io/) was made live recently to provide a platform to host the current draft of the reflective document “Striving towards Environmental Sustainability in High Energy Physics, Cosmology and Astroparticle Physics (HECAP).” However, we want this platform to grow … sustainably! And potentially add features. We thus send a call via this talk to ask for volunteers to take over this project. We invite discussions on how to broaden the scope of this website and on future initiatives that could be hosted, e.g., additional content to help us educate ourselves and the public, so that we can converge together on how such an online platform would best represent the HECAP community and help to coordinate our efforts as we drive for greater sustainability. CERN 2022 TH institutes Event TALK CERN David, Claire speaker York University (CA) https://indico.cern.ch/event/1160140/contributions/5008167/ Talk details https://indico.cern.ch/event/1160140/ Event details MediaArchive /mnt/master_share/master_data/2022/1160140c12 Absolute master path MediaArchive /2022/1160140c12/1160140c12_en.vtt subtitle subtitle English MediaArchive /2022/1160140c12/1160140c12_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1160140c12/1160140c12-presenter-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1160140c12/1160140c12-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 763952 MediaArchive https://lecturemedia.cern.ch/2022/1160140c12/1160140c12-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 153728 MediaArchive https://lecturemedia.cern.ch/2022/1160140c12/1160140c12-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 64092 MediaArchive https://lecturemedia.cern.ch/2022/1160140c12/1160140c12-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 430284 elena.gianolio@cern.ch Lang, Valerie Albert Ludwigs Universitaet Freiburg (DE) Quinnan, Melissa Kathryn Univ. of California Santa Barbara (US) Millington, Peter University of Manchester Paul, Ayan DESY, Hamburg and Humboldt Universität zu Berlin Banerjee, Shankha CERN 2022-05-10T13:04:08 2022-09-09T09:47:45 PUBLIC INDICO.1160140c12 https://videos.cern.ch/legacy/record/2826612 Indico SSW MIGRATED 2826604 20251201181740.0 oai:cds.cern.ch:2826604 cerncds:TALK eng CERN. Geneva Sustainable HEP - 2nd edition CERN - Zoom only 2022-09-07T15:00:00 2022-09-07T15:40:00 1160140c17 Sustainability in the scientific information industry 2022 2022-09-07 2193 Streaming video TH institutes Sustainable HEP - 2nd edition 2022-09-07T15:00:00 <!--HTML-->Like any field of human activity, the scientific information industry (publishers, preprint repositories, online databases, etc.) has an environmental impact that needs to be lowered as much as possible. Additionally, given the important role that the production and dissemination of scientific information play in scientific research, it can help shape community practices to become more sustainable. Using the INSPIRE HEP information platform as a case study, I will highlight concrete challenges and potential solutions in achieving these two goals. I will also present recent initiatives to make the publishing industry more sustainable and argue that strong institutional action is crucial to achieve real change. CERN 2022 TH institutes Event TALK CERN Moskovic, Micha speaker CERN https://indico.cern.ch/event/1160140/contributions/5008176/ Talk details https://indico.cern.ch/event/1160140/ Event details MediaArchive /mnt/master_share/master_data/2022/1160140c17 Absolute master path MediaArchive /2022/1160140c17/1160140c17_en.vtt subtitle subtitle English MediaArchive /2022/1160140c17/1160140c17_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1160140c17/1160140c17-presenter-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1160140c17/1160140c17-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 213640 MediaArchive https://lecturemedia.cern.ch/2022/1160140c17/1160140c17-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 838634 MediaArchive https://lecturemedia.cern.ch/2022/1160140c17/1160140c17-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 96616 MediaArchive https://lecturemedia.cern.ch/2022/1160140c17/1160140c17-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 502729 elena.gianolio@cern.ch Lang, Valerie Albert Ludwigs Universitaet Freiburg (DE) Quinnan, Melissa Kathryn Univ. of California Santa Barbara (US) Millington, Peter University of Manchester Paul, Ayan DESY, Hamburg and Humboldt Universität zu Berlin Banerjee, Shankha CERN 2022-05-10T13:04:08 2022-09-09T09:23:04 PUBLIC INDICO.1160140c17 https://videos.cern.ch/legacy/record/2826604 Indico SSW MIGRATED 2826405 20251201181554.0 oai:cds.cern.ch:2826405 cerncds:TALK eng CERN. Geneva Sustainable HEP - 2nd edition CERN - Zoom only 2022-09-06T18:00:00 2022-09-06T18:12:00 1160140c29 The carbon footprint of future Higgs studies 2022 2022-09-06 1008 Streaming video TH institutes Sustainable HEP - 2nd edition 2022-09-06T18:00:00 <!--HTML-->The energy consumption of an ${\rm e^+e^-}$ Higgs factory in operation will be everything but negligible. Future Higgs boson studies may therefore have a significant environmental impact. We propose ways to estimate the environmental footprint during the operation of all the Higgs factory projects that can credibly operate immediately after the end of LHC, namely the projects for three linear colliders (CLIC, operating at $\sqrt{s} = 380$\,GeV; and ILC and $\rm C^3$, operating at $\sqrt{s} =250$\,GeV) and two circular colliders (CEPC and FCC-ee, operating at $\sqrt{s} =240$\,GeV). The projected carbon footprint varies from single to a hundredfold depending on the Higgs factory considered. CERN 2022 TH institutes Event TALK CERN Janot, Patrick speaker CERN https://indico.cern.ch/event/1160140/contributions/5025092/ Talk details https://indico.cern.ch/event/1160140/ Event details MediaArchive /mnt/master_share/master_data/2022/1160140c29 Absolute master path MediaArchive /2022/1160140c29/1160140c29_en.vtt subtitle subtitle English MediaArchive /2022/1160140c29/1160140c29_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1160140c29/1160140c29-presenter-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1160140c29/1160140c29-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 295124 MediaArchive https://lecturemedia.cern.ch/2022/1160140c29/1160140c29-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 1189073 MediaArchive https://lecturemedia.cern.ch/2022/1160140c29/1160140c29-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 128987 MediaArchive https://lecturemedia.cern.ch/2022/1160140c29/1160140c29-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 722073 elena.gianolio@cern.ch Lang, Valerie Albert Ludwigs Universitaet Freiburg (DE) Quinnan, Melissa Kathryn Univ. of California Santa Barbara (US) Millington, Peter University of Manchester Paul, Ayan DESY, Hamburg and Humboldt Universität zu Berlin Banerjee, Shankha CERN 2022-05-10T13:04:08 2022-09-07T08:36:09 PUBLIC INDICO.1160140c29 https://videos.cern.ch/legacy/record/2826405 Indico SSW MIGRATED 2826404 20251201181558.0 oai:cds.cern.ch:2826404 cerncds:TALK eng CERN. Geneva Sustainable HEP - 2nd edition CERN - Zoom only 2022-09-06T18:24:00 2022-09-06T18:30:00 1160140c3 Striving towards environmental sustainability in High Energy Physics, Cosmology and Astroparticle Physics (HECAP): a grassroots initiative 2022 2022-09-06 597 Streaming video TH institutes Sustainable HEP - 2nd edition 2022-09-06T18:24:00 <!--HTML-->This talk will present the current state of the document 'Striving towards Environmental Sustainability in HECAP'. This work in progress is a grassroots effort emerging from the first workshop on Sustainability in HEP, with the aim of reflecting on the role that our community can play in limiting environmental impacts. We envision it as a prelude to a more widespread engagement of the HECAP community with issues of environmental sustainability, leading eventually to assessment of, reporting on, and target-setting on GHG emissions and other environmental measures at all levels of organization, from individuals, research groups and experimental collaborations, to institutions, funding bodies and policy makers. We urge the audience to contribute to this effort and help shape this document into a useful and complete reference for our community. CERN 2022 TH institutes Event TALK CERN Mahbubani, Rakhi Nandalal speaker Rudjer Boskovic Institute (HR) Gill, Mandeep speaker Stanford University https://indico.cern.ch/event/1160140/contributions/4891145/ Talk details https://indico.cern.ch/event/1160140/ Event details MediaArchive /mnt/master_share/master_data/2022/1160140c3 Absolute master path MediaArchive /2022/1160140c3/1160140c3_en.vtt subtitle subtitle English MediaArchive /2022/1160140c3/1160140c3_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1160140c3/1160140c3-presenter-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1160140c3/1160140c3-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 559741 MediaArchive https://lecturemedia.cern.ch/2022/1160140c3/1160140c3-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 230073 MediaArchive https://lecturemedia.cern.ch/2022/1160140c3/1160140c3-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 1008320 MediaArchive https://lecturemedia.cern.ch/2022/1160140c3/1160140c3-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 95246 elena.gianolio@cern.ch Lang, Valerie Albert Ludwigs Universitaet Freiburg (DE) Quinnan, Melissa Kathryn Univ. of California Santa Barbara (US) Millington, Peter University of Manchester Paul, Ayan DESY, Hamburg and Humboldt Universität zu Berlin Banerjee, Shankha CERN 2022-05-10T13:04:08 2022-09-07T08:35:33 PUBLIC INDICO.1160140c3 https://videos.cern.ch/legacy/record/2826404 Indico SSW MIGRATED 2826403 20251201181630.0 oai:cds.cern.ch:2826403 cerncds:TALK eng CERN. Geneva Sustainable HEP - 2nd edition CERN - Zoom only 2022-09-06T17:48:00 2022-09-06T18:00:00 1160140c24 Environmental Impact of Future Colliders 2022 2022-09-06 1001 Streaming video TH institutes Sustainable HEP - 2nd edition 2022-09-06T17:48:00 <!--HTML-->We present the results of the Snowmass Implementation Task Force (ITF) analysis of 15 future collider concepts. We consider both the environmental cost of construction (CO2 footprint per meter of tunnel) and the carbon footprint associated with collider power consumption. We discuss strategies to mitigate the power consumption of future high-energy colliders, such as energy recovery. We also consider options to power colliders with renewable energy sources, and how to present a new collider as a benefit to society. CERN 2022 TH institutes Event TALK CERN Gessner, Spencer speaker SLAC https://indico.cern.ch/event/1160140/contributions/5014540/ Talk details https://indico.cern.ch/event/1160140/ Event details MediaArchive /mnt/master_share/master_data/2022/1160140c24 Absolute master path MediaArchive /2022/1160140c24/1160140c24_en.vtt subtitle subtitle English MediaArchive /2022/1160140c24/1160140c24_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1160140c24/1160140c24-presenter-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1160140c24/1160140c24-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 245601 MediaArchive https://lecturemedia.cern.ch/2022/1160140c24/1160140c24-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 1089517 MediaArchive https://lecturemedia.cern.ch/2022/1160140c24/1160140c24-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 108495 MediaArchive https://lecturemedia.cern.ch/2022/1160140c24/1160140c24-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 618012 elena.gianolio@cern.ch Lang, Valerie Albert Ludwigs Universitaet Freiburg (DE) Quinnan, Melissa Kathryn Univ. of California Santa Barbara (US) Millington, Peter University of Manchester Paul, Ayan DESY, Hamburg and Humboldt Universität zu Berlin Banerjee, Shankha CERN 2022-05-10T13:04:08 2022-09-07T08:35:03 PUBLIC INDICO.1160140c24 https://videos.cern.ch/legacy/record/2826403 Indico SSW MIGRATED 2826400 20251201181629.0 oai:cds.cern.ch:2826400 cerncds:TALK eng CERN. Geneva Sustainable HEP - 2nd edition CERN - Zoom only 2022-09-06T17:12:00 2022-09-06T17:24:00 1160140c27 Encouraging Sustainable Catering Practices in the HEP Community 2022 2022-09-06 1126 Streaming video TH institutes Sustainable HEP - 2nd edition 2022-09-06T17:12:00 <!--HTML-->Agriculture, food production and distribution are major contributors to global greenhouse gas emissions and can be hugely detrimental to our environment in terms of land use, biodiversity and eutrophication. The food system in so-called developed nations is currently unsustainable and needs dramatic changes in order to prevent global warming to less than 1.5 degrees Celsius. Given the large industrial accelerator complexes and travel methods upon which much of HEP research relies, changing the food and catering practices will, admittedly, have a relatively small environmental impact within HEP itself. Nevertheless catering and food consumption are visible and social practices. The potential effect of reputable academic sectors promoting more sustainable eating habits could have a potentially much larger influence on an industry which has a relatively huge impact on climate change globally. With a particular focus on the detrimental effects of meat and dairy consumption and the impacts of animal agriculture, this talk hopes to justify and explore methods by which we can encourage more sustainable eating practices in our facilities, conferences and private lives. CERN 2022 TH institutes Event TALK CERN Mallows, Sophie speaker KIT - Karlsruhe Institute of Technology (DE) https://indico.cern.ch/event/1160140/contributions/5019587/ Talk details https://indico.cern.ch/event/1160140/ Event details MediaArchive /mnt/master_share/master_data/2022/1160140c27 Absolute master path MediaArchive /2022/1160140c27/1160140c27_en.vtt subtitle subtitle English MediaArchive /2022/1160140c27/1160140c27_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1160140c27/1160140c27-presenter-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1160140c27/1160140c27-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 323660 MediaArchive https://lecturemedia.cern.ch/2022/1160140c27/1160140c27-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 862353 MediaArchive https://lecturemedia.cern.ch/2022/1160140c27/1160140c27-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 1511959 MediaArchive https://lecturemedia.cern.ch/2022/1160140c27/1160140c27-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 140762 elena.gianolio@cern.ch Lang, Valerie Albert Ludwigs Universitaet Freiburg (DE) Quinnan, Melissa Kathryn Univ. of California Santa Barbara (US) Millington, Peter University of Manchester Paul, Ayan DESY, Hamburg and Humboldt Universität zu Berlin Banerjee, Shankha CERN 2022-05-10T13:04:08 2022-09-07T08:32:58 PUBLIC INDICO.1160140c27 https://videos.cern.ch/legacy/record/2826400 Indico SSW MIGRATED 2826383 20251201182442.0 oai:cds.cern.ch:2826383 cerncds:TALK eng CERN. Geneva Sustainable HEP - 2nd edition CERN - Zoom only 2022-09-05T16:24:00 2022-09-05T16:36:00 1160140c10 Sustainable Software Training Delivery at the HEP Software Foundation 2022 2022-09-05 764 Streaming video TH institutes Sustainable HEP - 2nd edition 2022-09-05T16:24:00 <!--HTML-->Modern HEP experiments are heavily reliant on software, but the traditional model of software training has relied on air travel to in-person training events (often associated with workshops or conferences). The HEP Software Foundation has developed a software training program to respond to the above challenge and the long-term sustainability of the HEP research software ecosystem. The open source and introductory HEP software curriculum and several software modules on techniques and methods for computing and data science have enabled users to jump start research and contributions to the field. Though initially motivated by the COVID pandemic, a shift in introductory training delivery from primarily in-person to virtual has allowed us to train over 1500 learners in the past 4 years. This shift to scalable virtual learning, which we intend to maintain for the introductory curriculum, has resulted in both an environmental and societal impact. By avoiding the need for air travel to training sites, we have reduced our carbon footprint and enabled learners to attend who otherwise would not have the local funds to travel. In addition, organized software training for HEP field brings efficiency and avoids duplication efforts, again saving related cost of energy and resources. CERN 2022 TH institutes Event TALK CERN Deconinck, Wouter speaker https://indico.cern.ch/event/1160140/contributions/5014539/ Talk details https://indico.cern.ch/event/1160140/ Event details MediaArchive /mnt/master_share/master_data/2022/1160140c10 Absolute master path MediaArchive /2022/1160140c10/1160140c10_en.vtt subtitle subtitle English MediaArchive /2022/1160140c10/1160140c10_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1160140c10/1160140c10-presenter-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1160140c10/1160140c10-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 747563 MediaArchive https://lecturemedia.cern.ch/2022/1160140c10/1160140c10-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 1236038 MediaArchive https://lecturemedia.cern.ch/2022/1160140c10/1160140c10-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 308400 MediaArchive https://lecturemedia.cern.ch/2022/1160140c10/1160140c10-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 141007 elena.gianolio@cern.ch Lang, Valerie Albert Ludwigs Universitaet Freiburg (DE) Quinnan, Melissa Kathryn Univ. of California Santa Barbara (US) Millington, Peter University of Manchester Paul, Ayan DESY, Hamburg and Humboldt Universität zu Berlin Banerjee, Shankha CERN 2022-05-10T13:04:08 2022-09-07T06:46:44 PUBLIC INDICO.1160140c10 https://videos.cern.ch/legacy/record/2826383 Indico SSW MIGRATED 2826374 20260417051035.0 oai:cds.cern.ch:2826374 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI APS 10.1103/PhysRevD.107.112006 publication arXiv oai:arXiv.org:2209.01177 oai:inspirehep.net:2146298 https://inspirehep.net/api/oai2d Inspire 2026-04-16T20:51:13Z 2026-04-17T02:00:08Z marcxml true Inspire 2146298 arXiv arXiv:2209.01177 physics.ins-det eng Agnes, P. ROR:https://ror.org/04g2vpn86 ROR:https://ror.org/03kgj4539 Royal Holloway, U. of London TRIUMF Department of Physics, Royal Holloway University of London, Egham TW20 0EX, United Kingdom TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T 2A3, Canada arXiv Sensitivity projections for a dual-phase argon TPC optimized for light dark matter searches through the ionization channel 2023-06-01 2022-09-02 19 p APS Dark matter lighter than <math display="inline"><mrow><mn>10</mn><mtext> </mtext><mtext> </mtext><mi>GeV</mi><mo>/</mo><msup><mi>c</mi><mn>2</mn></msup></mrow></math> encompasses a promising range of candidates. A conceptual design for a new detector, DarkSide-LowMass, is presented, based on the DarkSide-50 detector and progress toward DarkSide-20k, optimized for a low-threshold electron-counting measurement. Sensitivity to light dark matter is explored for various potential energy thresholds and background rates. These studies show that DarkSide-LowMass can achieve sensitivity to light dark matter down to the solar neutrino fog for GeV-scale masses and significant sensitivity down to <math display="inline"><mrow><mn>10</mn><mtext> </mtext><mtext> </mtext><mi>MeV</mi><mo>/</mo><msup><mi>c</mi><mn>2</mn></msup></mrow></math> considering the Migdal effect or interactions with electrons. Requirements for optimizing the detector’s sensitivity are explored, as are potential sensitivity gains from modeling and mitigating spurious electron backgrounds that may dominate the signal at the lowest energies. arXiv Dark matter lighter than 10 GeV/c$^2$ encompasses a promising range of candidates. A conceptual design for a new detector, DarkSide-LowMass, is presented, based on the DarkSide-50 detector and progress toward DarkSide-20k, optimized for a low-threshold electron-counting measurement. Sensitivity to light dark matter is explored for various potential energy thresholds and background rates. These studies show that DarkSide-LowMass can achieve sensitivity to light dark matter down to the solar neutrino floor for GeV-scale masses and significant sensitivity down to 10 MeV/c$^2$ considering the Migdal effect or interactions with electrons. Requirements for optimizing the detector's sensitivity are explored, as are potential sensitivity gains from modeling and mitigating spurious electron backgrounds that may dominate the signal at the lowest energies. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication American Physical Society © 2023 American Physical Society 2023 arXiv hep-ex SzGeCERN Particle Physics - Experiment arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques CERN ARTICLE Ahmad, I. ORCID:0000-0003-3204-4924 Warsaw, Copernicus Astron. Ctr. AstroCeNT, Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences, 00-614 Warsaw, Poland Albergo, S. ROR:https://ror.org/02pq29p90 ROR:https://ror.org/03a64bh57 Messina U. INFN, Catania Catania U. Università of Catania, Catania 95124, Italy INFN Catania, Catania 95121, Italy Albuquerque, I.F.M. ROR:https://ror.org/036rp1748 Sao Paulo U. Instituto de Física, Universidade de São Paulo, São Paulo 05508-090, Brazil Alexander, T. ROR:https://ror.org/05h992307 PNL, Richland Pacific Northwest National Laboratory, Richland, Washington 99352, USA Alton, A.K. Wisconsin U., River Falls Physics Department, Augustana University, Sioux Falls, South Dakota 57197, USA Amaudruz, P. ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T 2A3, Canada Atzori Corona, M. ORCID:0000-0001-5092-3602 ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy Auty, D.J. ORCID:0000-0002-8884-0017 ROR:https://ror.org/0160cpw27 Alberta U. Department of Physics, University of Alberta, Edmonton, Alberta T6G 2R3, Canada Ave, M. ROR:https://ror.org/036rp1748 Sao Paulo U. Instituto de Física, Universidade de São Paulo, São Paulo 05508-090, Brazil Avetisov, I.Ch. Lomonosov Inst. Fine Chem. Tech. Mendeleev University of Chemical Technology, Moscow 125047, Russia Avetisov, R.I. Lomonosov Inst. Fine Chem. Tech. Mendeleev University of Chemical Technology, Moscow 125047, Russia Azzolini, O. ROR:https://ror.org/025e3ct30 INFN, Legnaro INFN Laboratori Nazionali di Legnaro, Legnaro (Padova) 35020, Italy Back, H.O. ROR:https://ror.org/05h992307 PNL, Richland Pacific Northwest National Laboratory, Richland, Washington 99352, USA Balmforth, Z. ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham TW20 0EX, United Kingdom Barbarian, V. ROR:https://ror.org/010pmpe69 SINP, Moscow Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow 119234, Russia Barrado Olmedo, A. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Barrillon, P. ROR:https://ror.org/00fw8bp86 Marseille, CPPM Centre de Physique des Particules de Marseille, Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France Basco, A. ROR:https://ror.org/015kcdd40 INFN, Naples INFN Napoli, Napoli 80126, Italy Batignani, G. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. Physics Department, Università degli Studi di Pisa, Pisa 56127, Italy INFN Pisa, Pisa 56127, Italy Berzin, E. ORCID:0000-0002-6279-9829 ROR:https://ror.org/00hx57361 Princeton U. Physics Department, Princeton University, Princeton, New Jersey 08544, USA Bondar, A. ROR:https://ror.org/03e5eem51 ROR:https://ror.org/04t2ss102 Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk 630090, Russia Novosibirsk State University, Novosibirsk 630090, Russia Bonivento, W.M. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Borisova, E. ROR:https://ror.org/03e5eem51 ROR:https://ror.org/04t2ss102 Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk 630090, Russia Novosibirsk State University, Novosibirsk 630090, Russia Bottino, B. ORCID:0000-0002-3017-2167 ROR:https://ror.org/02v89pq06 ROR:https://ror.org/0107c5v14 INFN, Genoa Genoa U. Physics Department, Università degli Studi di Genova, Genova 16146, Italy INFN Genova, Genova 16146, Italy Boulay, M.G. ROR:https://ror.org/02qtvee93 Carleton U. Department of Physics, Carleton University, Ottawa, Ontario K1S 5B6, Canada Buccino, G. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Bussino, S. ROR:https://ror.org/05vf0dg29 ROR:https://ror.org/009wnjh50 Rome III U. INFN, Rome3 Mathematics and Physics Department, Università degli Studi Roma Tre, Roma 00146, Italy INFN Roma Tre, Roma 00146, Italy Busto, J. ROR:https://ror.org/00fw8bp86 Marseille, CPPM Centre de Physique des Particules de Marseille, Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France Buzulutskov, A. ROR:https://ror.org/03e5eem51 ROR:https://ror.org/04t2ss102 Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk 630090, Russia Novosibirsk State University, Novosibirsk 630090, Russia Cadeddu, M. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Cadoni, M. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy Caminata, A. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Genova, Genova 16146, Italy Canci, N. ROR:https://ror.org/015kcdd40 INFN, Naples INFN Napoli, Napoli 80126, Italy Capra, A. ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T 2A3, Canada Caprioli, S. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Genova, Genova 16146, Italy Caravati, M. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Cárdenas-Montes, M. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Cargioli, N. ORCID:0000-0002-6515-5850 ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy Carlini, M. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Castello, P. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Department of Electrical and Electronic Engineering, Università degli Studi di Cagliari, Cagliari 09123, Italy INFN Cagliari, Cagliari 09042, Italy Cataudella, V. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples INFN Napoli, Napoli 80126, Italy Physics Department, Università degli Studi “Federico II” di Napoli, Napoli 80126, Italy Cavalcante, P. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Cavuoti, S. ROR:https://ror.org/015kcdd40 ROR:https://ror.org/02fwden70 Naples U. INFN, Naples Capodimonte Observ. INFN Napoli, Napoli 80126, Italy Physics Department, Università degli Studi “Federico II” di Napoli, Napoli 80126, Italy INAF Osservatorio Astronomico di Capodimonte, 80131 Napoli, Italy Cebrian, S. ROR:https://ror.org/012a91z28 Zaragoza U. Centro de Astropartículas y Física de Altas Energías, Universidad de Zaragoza, Zaragoza 50009, Spain Cela Ruiz, J.M. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Chashin, S. ROR:https://ror.org/010pmpe69 SINP, Moscow Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow 119234, Russia Chepurnov, A. ROR:https://ror.org/010pmpe69 SINP, Moscow Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow 119234, Russia Chyhyrynets, E. ROR:https://ror.org/025e3ct30 INFN, Legnaro INFN Laboratori Nazionali di Legnaro, Legnaro (Padova) 35020, Italy Cicalò, C. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Cifarelli, L. ROR:https://ror.org/02dqehb95 ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 Purdue U. Bologna U. INFN, Bologna Department of Physics and Astronomy, Università degli Studi di Bologna, Bologna 40126, Italy INFN Bologna, Bologna 40126, Italy Cintas, D. ROR:https://ror.org/012a91z28 Zaragoza U. Centro de Astropartículas y Física de Altas Energías, Universidad de Zaragoza, Zaragoza 50009, Spain Cocco, V. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Conde Vilda, E. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Consiglio, L. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Copello, S. ROR:https://ror.org/02v89pq06 ROR:https://ror.org/0107c5v14 INFN, Genoa Genoa U. Physics Department, Università degli Studi di Genova, Genova 16146, Italy INFN Genova, Genova 16146, Italy Covone, G. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples INFN Napoli, Napoli 80126, Italy Physics Department, Università degli Studi “Federico II” di Napoli, Napoli 80126, Italy Cross, S. ROR:https://ror.org/03gq8fr08 Rutherford Science & Technology Facilities Council (STFC), Rutherford Appleton Laboratory, Technology, Harwell Oxford, Didcot OX11 0QX, United Kingdom Czubak, M. ROR:https://ror.org/03bqmcz70 Jagiellonian U. M. Smoluchowski Institute of Physics, Jagiellonian University, 30-348 Krakow, Poland Czudak, P. ROR:https://ror.org/03bqmcz70 Jagiellonian U. M. Smoluchowski Institute of Physics,Jagiellonian University,30-348 Krakow,Poland D'Aniello, M. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples Department of Strutture per l’Ingegneria e l’Architettura, Università degli Studi “Federico II” di Napoli, Napoli 80131, Italy D'Auria, S. ROR:https://ror.org/04w4m6z96 INFN, Milan INFN Milano, Milano 20133, Italy Da Rocha Rolo, M.D. ROR:https://ror.org/01vj6ck58 INFN, Turin INFN Torino, Torino 10125, Italy Dadoun, O. Paris U., VI-VII LPNHE, CNRS/IN2P3, Sorbonne Université, Université Paris Diderot, Paris 75252, France Daniel, M. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Davini, S. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Genova, Genova 16146, Italy De Candia, A. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples INFN Napoli, Napoli 80126, Italy Physics Department, Università degli Studi “Federico II” di Napoli, Napoli 80126, Italy De Cecco, S. ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. Physics Department, Sapienza Università di Roma, Roma 00185, Italy INFN Sezione di Roma, Roma 00185, Italy De Falco, A. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy De Filippis, G. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples INFN Napoli, Napoli 80126, Italy Physics Department, Università degli Studi “Federico II” di Napoli, Napoli 80126, Italy De Gruttola, D. ROR:https://ror.org/015kcdd40 ROR:https://ror.org/0192m2k53 ROR:https://ror.org/043kfae87 INFN, Naples Salerno U. INFN, Salerno INFN Salerno, Salerno 84084, Italy Physics Department, Università degli Studi di Salerno, Salerno 84084, Italy De Pasquale, S. ROR:https://ror.org/015kcdd40 ROR:https://ror.org/0192m2k53 ROR:https://ror.org/043kfae87 INFN, Naples Salerno U. INFN, Salerno INFN Salerno, Salerno 84084, Italy Physics Department, Università degli Studi di Salerno, Salerno 84084, Italy De Rosa, G. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples INFN Napoli, Napoli 80126, Italy Physics Department, Università degli Studi “Federico II” di Napoli, Napoli 80126, Italy Dellacasa, G. ROR:https://ror.org/01vj6ck58 INFN, Turin INFN Torino, Torino 10125, Italy Derbin, A.V. ROR:https://ror.org/037styt87 St. Petersburg, INP Saint Petersburg Nuclear Physics Institute, Gatchina 188350, Russia Devoto, A. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy Di Capua, F. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples INFN Napoli, Napoli 80126, Italy Physics Department, Università degli Studi “Federico II” di Napoli, Napoli 80126, Italy Di Noto, L. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Genova, Genova 16146, Italy Di Stefano, P. ROR:https://ror.org/02y72wh86 Queen's U., Kingston Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, Ontario K7L 3N6, Canada Dionisi, C. ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. Physics Department, Sapienza Università di Roma, Roma 00185, Italy INFN Sezione di Roma, Roma 00185, Italy Dolganov, G. ROR:https://ror.org/00n1nz186 Kurchatov Inst., Moscow National Research Centre Kurchatov Institute, Moscow 123182, Russia Dordei, F. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Doria, L. ROR:https://ror.org/023b0x485 Mainz U., Inst. Kernphys. Institut für Kernphysik, Johannes Gutenberg-Universität Mainz, D-55128 Mainz, Germany Erjavec, T. ROR:https://ror.org/05rrcem69 UC, Davis Department of Physics, University of California, Davis, California 95616, USA Fernandez Diaz, M. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Fiorillo, G. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples INFN Napoli, Napoli 80126, Italy Physics Department, Università degli Studi “Federico II” di Napoli, Napoli 80126, Italy Franceschi, A. ROR:https://ror.org/049jf1a25 Frascati INFN Laboratori Nazionali di Frascati, Frascati 00044, Italy Franchini, P. ROR:https://ror.org/04f2nsd36 ROR:https://ror.org/04g2vpn86 Lancaster U. Royal Holloway, U. of London Physics Department, Lancaster University, Lancaster LA1 4YB, United Kingdom Department of Physics, Royal Holloway University of London, Egham TW20 0EX, United Kingdom Franco, D. ORCID:0000-0001-5604-2531 ROR:https://ror.org/03tnjrr49 APC, Paris APC, Université de Paris, CNRS, Astroparticule et Cosmologie, Paris F-75013, France Frolov, E. ROR:https://ror.org/03e5eem51 ROR:https://ror.org/04t2ss102 Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk 630090, Russia Novosibirsk State University, Novosibirsk 630090, Russia Funicello, N. ROR:https://ror.org/015kcdd40 ROR:https://ror.org/0192m2k53 ROR:https://ror.org/043kfae87 INFN, Naples Salerno U. INFN, Salerno INFN Salerno, Salerno 84084, Italy Physics Department, Università degli Studi di Salerno, Salerno 84084, Italy Gabriele, F. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Gahan, D. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy Galbiati, C. ROR:https://ror.org/00hx57361 ROR:https://ror.org/02s8k0k61 ROR:https://ror.org/02p77k626 Princeton U. Gran Sasso INFN, Aquila Rome U., Tor Vergata Physics Department, Princeton University, Princeton, New Jersey 08544, USA Gran Sasso Science Institute, L’Aquila 67100, Italy INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Gallina, G. ROR:https://ror.org/00hx57361 Princeton U. Physics Department, Princeton University, Princeton, New Jersey 08544, USA Gallus, G. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Department of Electrical and Electronic Engineering, Università degli Studi di Cagliari, Cagliari 09123, Italy INFN Cagliari, Cagliari 09042, Italy Garbini, M. ROR:https://ror.org/04j0x0h93 Enrico Fermi Ctr., Rome INFN, Bologna Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Roma 00184, Italy INFN Bologna, Bologna 40126, Italy Garcia Abia, P. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Gendotti, A. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics, ETH Zürich, Zürich 8093, Switzerland Ghiano, C. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Giampaolo, R.A. ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/02p77k626 INFN, Turin INFN, Aquila Rome U., Tor Vergata INFN Torino, Torino 10125, Italy Gran Sasso Science Institute, L’Aquila 67100, Italy Giganti, C. Paris U., VI-VII LPNHE, CNRS/IN2P3, Sorbonne Université, Université Paris Diderot, Paris 75252, France Giorgi, M.A. ROR:https://ror.org/03ad39j10 ROR:https://ror.org/05symbg58 Pisa U. INFN, Pisa Physics Department, Università degli Studi di Pisa, Pisa 56127, Italy INFN Pisa, Pisa 56127, Italy Giovanetti, G.K. ORCID:0000-0002-3125-0550 Williams Coll. Williams College, Physics Department, Williamstown, Massachusetts 01267 USA Goicoechea Casanueva, V. ROR:https://ror.org/01wspgy28 Hawaii U. Department of Physics and Astronomy, University of Hawai’i, Honolulu, Hawaii 96822, USA Gola, A. ROR:https://ror.org/01j33xk10 Fond. Bruno Kessler, Trento Trento U. Trento Institute for Fundamental Physics and Applications, Povo 38123, Italy Fondazione Bruno Kessler, Povo 38123, Italy Gorman, D. ROR:https://ror.org/03gq8fr08 Rutherford Science & Technology Facilities Council (STFC), Rutherford Appleton Laboratory, Technology, Harwell Oxford, Didcot OX11 0QX, United Kingdom Graciani Diaz, R. ROR:https://ror.org/021018s57 Barcelona U. Universiatat de Barcelona, Barcelona E-08028, Catalonia, Spain Grauso, G. ROR:https://ror.org/015kcdd40 INFN, Naples INFN Napoli, Napoli 80126, Italy Grilli di Cortona, G. ORCID:0000-0003-2408-6171 ROR:https://ror.org/049jf1a25 Frascati INFN Laboratori Nazionali di Frascati, Frascati 00044, Italy Grobov, A. ROR:https://ror.org/00n1nz186 ROR:https://ror.org/04w8z7f34 Kurchatov Inst., Moscow Moscow Phys. Eng. Inst. National Research Centre Kurchatov Institute, Moscow 123182, Russia National Research Nuclear University MEPhI, Moscow 115409, Russia Gromov, M. ROR:https://ror.org/010pmpe69 ROR:https://ror.org/044yd9t77 SINP, Moscow Dubna, JINR Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow 119234, Russia Joint Institute for Nuclear Research, Dubna 141980, Russia Guan, M. ROR:https://ror.org/03v8tnc06 Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Beijing 100049, China Guerzoni, M. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Bologna, Bologna 40126, Italy Gulino, M. ROR:https://ror.org/02k1zhm92 Split Tech. U. INFN, LNS Engineering and Architecture Faculty, Università di Enna Kore, Enna 94100, Italy INFN Laboratori Nazionali del Sud, Catania 95123, Italy Guo, C. ROR:https://ror.org/03v8tnc06 Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Beijing 100049, China Hackett, B.R. ROR:https://ror.org/05h992307 PNL, Richland Pacific Northwest National Laboratory, Richland, Washington 99352, USA Hall, J.B. ROR:https://ror.org/00hx57361 Princeton U. Physics Department, Princeton University, Princeton, New Jersey 08544, USA Hallin, A.L. ROR:https://ror.org/0160cpw27 Alberta U. Department of Physics, University of Alberta, Edmonton, Alberta T6G 2R3, Canada Hamer, A. ROR:https://ror.org/01nrxwf90 ROR:https://ror.org/04g2vpn86 U. Edinburgh Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham TW20 0EX, United Kingdom School of Physics and Astronomy, University of Edinburgh, Edinburgh EH9 3FD, United Kingdom Helton, H. ROR:https://ror.org/00hx57361 Princeton U. Physics Department, Princeton University, Princeton, New Jersey 08544, USA Haranczyk, M. ROR:https://ror.org/03bqmcz70 Jagiellonian U. M. Smoluchowski Institute of Physics, Jagiellonian University, 30-348 Krakow, Poland Hessel, T. ROR:https://ror.org/03tnjrr49 APC, Paris APC, Université de Paris, CNRS, Astroparticule et Cosmologie, Paris F-75013, France Hill, S. ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham TW20 0EX, United Kingdom Horikawa, S. ROR:https://ror.org/01j9p1r26 ROR:https://ror.org/02s8k0k61 INFN, Aquila L'Aquila U. Gran Sasso Università degli Studi dell’Aquila, L’Aquila 67100, Italy INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Hubaut, F. ROR:https://ror.org/00fw8bp86 Marseille, CPPM Centre de Physique des Particules de Marseille, Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France Hugues, T. ORCID:0000-0002-4895-8897 Warsaw, Copernicus Astron. Ctr. AstroCeNT, Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences, 00-614 Warsaw, Poland Hungerford, E.V. ROR:https://ror.org/048sx0r50 Houston U. Department of Physics, University of Houston, Houston, Texas 77204, USA Ianni, An. ROR:https://ror.org/00hx57361 ROR:https://ror.org/02s8k0k61 Princeton U. Gran Sasso Physics Department, Princeton University, Princeton, New Jersey 08544, USA INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Ippolito, V. ROR:https://ror.org/05eva6s33 INFN, Rome INFN Sezione di Roma, Roma 00185, Italy Jillings, C. ROR:https://ror.org/04ys6zh37 ROR:https://ror.org/03rcwtr18 SNOLAB, Lively Laurentian U. SNOLAB, Lively, Ontario P3Y 1N2, Canada Department of Physics and Astronomy, Laurentian University, Sudbury, Ontario P3E 2C6, Canada Kachru, P. ROR:https://ror.org/02p77k626 ROR:https://ror.org/02s8k0k61 INFN, Aquila Rome U., Tor Vergata Gran Sasso Gran Sasso Science Institute, L’Aquila 67100, Italy INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Kemp, A.A. ROR:https://ror.org/02y72wh86 Queen's U., Kingston Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, Ontario K7L 3N6, Canada Kendziora, C.L. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA Keppel, G. ROR:https://ror.org/025e3ct30 INFN, Legnaro INFN Laboratori Nazionali di Legnaro, Legnaro (Padova) 35020, Italy Khomyakov, A.V. Lomonosov Inst. Fine Chem. Tech. Mendeleev University of Chemical Technology, Moscow 125047, Russia Kimura, M. Warsaw, Copernicus Astron. Ctr. AstroCeNT, Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences, 00-614 Warsaw, Poland Kochanek, I. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Kondo, K. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Korga, G. ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham TW20 0EX, United Kingdom Koulosousas, S. ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham TW20 0EX, United Kingdom Kubankin, A. Belgorod State U. Radiation Physics Laboratory, Belgorod National Research University, Belgorod 308007, Russia Kuss, M. ROR:https://ror.org/05symbg58 INFN, Pisa INFN Pisa, Pisa 56127, Italy Kuźniak, M. Warsaw, Copernicus Astron. Ctr. AstroCeNT, Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences, 00-614 Warsaw, Poland La Commara, M. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples INFN Napoli, Napoli 80126, Italy Pharmacy Department, Università degli Studi “Federico II” di Napoli, Napoli 80131, Italy Lai, M. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy Le Guirriec, E. ROR:https://ror.org/00fw8bp86 Marseille, CPPM Centre de Physique des Particules de Marseille, Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France Leason, E. ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham TW20 0EX, United Kingdom Li, X. ROR:https://ror.org/00hx57361 Princeton U. Physics Department, Princeton University, Princeton, New Jersey 08544, USA Lidey, L. ROR:https://ror.org/05h992307 PNL, Richland Pacific Northwest National Laboratory, Richland, Washington 99352, USA Lipp, J. ROR:https://ror.org/03gq8fr08 Rutherford Science & Technology Facilities Council (STFC), Rutherford Appleton Laboratory, Technology, Harwell Oxford, Didcot OX11 0QX, United Kingdom Lissia, M. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Longo, G. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples INFN Napoli, Napoli 80126, Italy Physics Department, Università degli Studi “Federico II” di Napoli, Napoli 80126, Italy Luzzi, L. ORCID:0009-0006-2728-5052 ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Macfadyen, O. ORCID:0009-0009-7720-6895 ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham TW20 0EX, United Kingdom Machulin, I.N. ROR:https://ror.org/00n1nz186 ROR:https://ror.org/04w8z7f34 Kurchatov Inst., Moscow Moscow Phys. Eng. Inst. National Research Centre Kurchatov Institute, Moscow 123182, Russia National Research Nuclear University MEPhI, Moscow 115409, Russia Manthos, I. ROR:https://ror.org/03angcq70 Birmingham U. School of Physics and Astronomy, University of Birmingham, Edgbaston, B15 2TT, Birmingham, United Kingdom Mapelli, L. ROR:https://ror.org/00hx57361 Princeton U. Physics Department, Princeton University, Princeton, New Jersey 08544, USA Margotti, A. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Bologna, Bologna 40126, Italy Mari, S.M. ROR:https://ror.org/05vf0dg29 ROR:https://ror.org/009wnjh50 Rome III U. INFN, Rome3 Mathematics and Physics Department, Università degli Studi Roma Tre, Roma 00146, Italy INFN Roma Tre, Roma 00146, Italy Mariani, C. ROR:https://ror.org/02smfhw86 Virginia Tech. Virginia Tech, Blacksburg, Virginia 24061, USA Maricic, J. ROR:https://ror.org/01wspgy28 Hawaii U. Department of Physics and Astronomy, University of Hawai’i, Honolulu, Hawaii 96822, USA Marini, A. ORCID:0000-0002-6778-2161 ROR:https://ror.org/02v89pq06 ROR:https://ror.org/0107c5v14 INFN, Genoa Genoa U. Physics Department, Università degli Studi di Genova, Genova 16146, Italy INFN Genova, Genova 16146, Italy Martínez, M. ROR:https://ror.org/012a91z28 Zaragoza U. ARAID, Zaragoza Centro de Astropartículas y Física de Altas Energías, Universidad de Zaragoza, Zaragoza 50009, Spain Fundación ARAID, Universidad de Zaragoza, Zaragoza 50009, Spain Martoff, C.J. ROR:https://ror.org/00kx1jb78 Temple U. Department of Physics, University of Liverpool, The Oliver Lodge Laboratory, Liverpool L69 7ZE, United Kingdom Masoni, A. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Mavrokoridis, K. ROR:https://ror.org/04xs57h96 Liverpool U. Department of Physics, University of Liverpool, The Oliver Lodge Laboratory, Liverpool L69 7ZE, United Kingdom Mazzi, A. ROR:https://ror.org/01j33xk10 Fond. Bruno Kessler, Trento Trento U. Trento Institute for Fundamental Physics and Applications, Povo 38123, Italy Fondazione Bruno Kessler, Povo 38123, Italy McDonald, A.B. ROR:https://ror.org/02y72wh86 Queen's U., Kingston Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, Ontario K7L 3N6, Canada Messina, A. ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. Physics Department, Sapienza Università di Roma, Roma 00185, Italy INFN Sezione di Roma, Roma 00185, Italy Milincic, R. ROR:https://ror.org/01wspgy28 Hawaii U. Department of Physics and Astronomy, University of Hawai’i, Honolulu, Hawaii 96822, USA Moggi, A. ROR:https://ror.org/05symbg58 INFN, Pisa INFN Pisa, Pisa 56127, Italy Moharana, A. ORCID:0000-0003-2612-3247 ROR:https://ror.org/02p77k626 ROR:https://ror.org/02s8k0k61 INFN, Aquila Rome U., Tor Vergata Gran Sasso Gran Sasso Science Institute, L’Aquila 67100, Italy INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Monroe, J. ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham TW20 0EX, United Kingdom Morrocchi, M. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. Physics Department, Università degli Studi di Pisa, Pisa 56127, Italy INFN Pisa, Pisa 56127, Italy Mozhevitina, E.N. Lomonosov Inst. Fine Chem. Tech. Mendeleev University of Chemical Technology, Moscow 125047, Russia Mróz, T. ROR:https://ror.org/03bqmcz70 Jagiellonian U. M. Smoluchowski Institute of Physics, Jagiellonian University, 30-348 Krakow, Poland Muratova, V.N. ROR:https://ror.org/037styt87 St. Petersburg, INP Saint Petersburg Nuclear Physics Institute, Gatchina 188350, Russia Muscas, C. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Department of Electrical and Electronic Engineering, Università degli Studi di Cagliari, Cagliari 09123, Italy INFN Cagliari, Cagliari 09042, Italy Musico, P. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Genova, Genova 16146, Italy Nania, R. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Bologna, Bologna 40126, Italy Napolitano, T. ROR:https://ror.org/049jf1a25 Frascati INFN Laboratori Nazionali di Frascati, Frascati 00044, Italy Nessi, M. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research 1211 Geneve 23, Switzerland, CERN Nieradka, G. Warsaw, Copernicus Astron. Ctr. AstroCeNT, Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences, 00-614 Warsaw, Poland Nikolopoulos, K. ROR:https://ror.org/03angcq70 Birmingham U. School of Physics and Astronomy, University of Birmingham, Edgbaston, B15 2TT, Birmingham, United Kingdom Nikulin, I. Belgorod State U. Radiation Physics Laboratory, Belgorod National Research University, Belgorod 308007, Russia Nowak, J. ROR:https://ror.org/04f2nsd36 Lancaster U. Physics Department, Lancaster University, Lancaster LA1 4YB, United Kingdom Olchansky, K. ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T 2A3, Canada Oleinik, A. Belgorod State U. Radiation Physics Laboratory, Belgorod National Research University, Belgorod 308007, Russia Oleynikov, V. ROR:https://ror.org/03e5eem51 ROR:https://ror.org/04t2ss102 Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk 630090, Russia Novosibirsk State University, Novosibirsk 630090, Russia Organtini, P. ROR:https://ror.org/00hx57361 ROR:https://ror.org/02s8k0k61 Princeton U. Gran Sasso Physics Department, Princeton University, Princeton, New Jersey 08544, USA INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Ortiz de Solórzano, A. ROR:https://ror.org/012a91z28 Zaragoza U. Centro de Astropartículas y Física de Altas Energías, Universidad de Zaragoza, Zaragoza 50009, Spain Pagani, L. ORCID:0000-0002-3469-2581 ROR:https://ror.org/05rrcem69 UC, Davis Department of Physics, University of California, Davis, California 95616, USA Pallavicini, M. ROR:https://ror.org/02v89pq06 ROR:https://ror.org/0107c5v14 INFN, Genoa Genoa U. Physics Department, Università degli Studi di Genova, Genova 16146, Italy INFN Genova, Genova 16146, Italy Pandola, L. ROR:https://ror.org/02k1zhm92 INFN, LNS INFN Laboratori Nazionali del Sud, Catania 95123, Italy Pantic, E. ROR:https://ror.org/05rrcem69 UC, Davis Department of Physics, University of California, Davis, California 95616, USA Paoloni, E. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. Physics Department, Università degli Studi di Pisa, Pisa 56127, Italy INFN Pisa, Pisa 56127, Italy Paternoster, G. ROR:https://ror.org/01j33xk10 Fond. Bruno Kessler, Trento Trento U. Trento Institute for Fundamental Physics and Applications, Povo 38123, Italy Fondazione Bruno Kessler, Povo 38123, Italy Pegoraro, P.A. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Department of Electrical and Electronic Engineering, Università degli Studi di Cagliari, Cagliari 09123, Italy INFN Cagliari, Cagliari 09042, Italy Pelczar, K. ROR:https://ror.org/03bqmcz70 Jagiellonian U. M. Smoluchowski Institute of Physics, Jagiellonian University, 30-348 Krakow, Poland Pellegrino, C. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Bologna, Bologna 40126, Italy Perotti, F. ROR:https://ror.org/04w4m6z96 Milan Polytechnic INFN, Milan INFN Milano, Milano 20133, Italy Civil and Environmental Engineering Department, Politecnico di Milano, Milano 20133, Italy Pesudo, V. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Piacentini, S. ORCID:0000-0002-1256-7149 ROR:https://ror.org/02be6w209 ROR:https://ror.org/05eva6s33 Rome U. INFN, Rome Physics Department, Sapienza Università di Roma, Roma 00185, Italy INFN Sezione di Roma, Roma 00185, Italy Pietropaolo, F. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research 1211 Geneve 23, Switzerland, CERN Pino, N. ORCID:0000-0002-4979-4572 ROR:https://ror.org/02pq29p90 ROR:https://ror.org/03a64bh57 Messina U. INFN, Catania Catania U. Università of Catania, Catania 95124, Italy INFN Catania, Catania 95121, Italy Pira, C. ROR:https://ror.org/025e3ct30 INFN, Legnaro INFN Laboratori Nazionali di Legnaro, Legnaro (Padova) 35020, Italy Pocar, A. ROR:https://ror.org/0072zz521 Massachusetts U., Amherst Amherst Center for Fundamental Interactions and Physics Department, University of Massachusetts, Amherst, Massachusetts 01003, USA Poehlmann, D.M. ROR:https://ror.org/05rrcem69 UC, Davis Department of Physics, University of California, Davis, California 95616, USA Pordes, S. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA Pralavorio, P. ROR:https://ror.org/00fw8bp86 Marseille, CPPM Centre de Physique des Particules de Marseille, Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France Price, D. ORCID:0000-0003-2750-9977 ROR:https://ror.org/027m9bs27 Manchester U. Department of Physics and Astronomy, The University of Manchester, Manchester M13 9PL, United Kingdom Raffaelli, F. ROR:https://ror.org/05symbg58 INFN, Pisa INFN Pisa, Pisa 56127, Italy Ragusa, F. ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/00wjc7c48 INFN, Milan Milan U. Physics Department, Università degli Studi di Milano, Milano 20133, Italy INFN Milano, Milano 20133, Italy Ramachers, Y. Coventry U. University of Warwick, Department of Physics, Coventry CV47AL, United Kingdom Ramirez, A. ROR:https://ror.org/048sx0r50 Houston U. Department of Physics, University of Houston, Houston, Texas 77204, USA Razeti, M. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Razeto, A. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Renshaw, A.L. ROR:https://ror.org/048sx0r50 Houston U. Department of Physics, University of Houston, Houston, Texas 77204, USA Rescigno, M. ROR:https://ror.org/05eva6s33 INFN, Rome INFN Sezione di Roma, Roma 00185, Italy Resnati, F. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research 1211 Geneve 23, Switzerland, CERN Retiere, F. ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T 2A3, Canada Rignanese, L.P. ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/02dqehb95 ROR:https://ror.org/01111rn36 INFN, Bologna Purdue U. Bologna U. Department of Physics and Astronomy, Università degli Studi di Bologna, Bologna 40126, Italy INFN Bologna, Bologna 40126, Italy Ripoli, C. ROR:https://ror.org/043kfae87 ROR:https://ror.org/0192m2k53 ROR:https://ror.org/015kcdd40 INFN, Salerno Salerno U. INFN, Naples INFN Salerno, Salerno 84084, Italy Physics Department, Università degli Studi di Salerno, Salerno 84084, Italy Rivetti, A. ROR:https://ror.org/01vj6ck58 INFN, Turin INFN Torino, Torino 10125, Italy Roberts, A. ROR:https://ror.org/04xs57h96 Liverpool U. Department of Physics, University of Liverpool, The Oliver Lodge Laboratory, Liverpool L69 7ZE, United Kingdom Roberts, C. ROR:https://ror.org/04xs57h96 Liverpool U. Department of Physics and Astronomy, The University of Manchester, Manchester M13 9PL, United Kingdom Rode, J. ROR:https://ror.org/03tnjrr49 Paris U., VI-VII APC, Paris APC, Université de Paris, CNRS, Astroparticule et Cosmologie, Paris F-75013, France LPNHE, CNRS/IN2P3, Sorbonne Université, Université Paris Diderot, Paris 75252, France Rogers, G. ROR:https://ror.org/03angcq70 Birmingham U. School of Physics and Astronomy, University of Birmingham, Edgbaston, B15 2TT, Birmingham, United Kingdom Romero, L. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Rossi, M. ORCID:0009-0002-7636-6802 ROR:https://ror.org/02v89pq06 ROR:https://ror.org/0107c5v14 INFN, Genoa Genoa U. Physics Department, Università degli Studi di Genova, Genova 16146, Italy INFN Genova, Genova 16146, Italy Rubbia, A. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics, ETH Zürich, Zürich 8093, Switzerland Sadashivajois, S. ORCID:0000-0001-6647-6819 ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham TW20 0EX, United Kingdom Saffold, T.R. Williams Coll. Williams College, Physics Department, Williamstown, Massachusetts 01267 USA Samoylov, O. ROR:https://ror.org/044yd9t77 Dubna, JINR Joint Institute for Nuclear Research, Dubna 141980, Russia Sandford, E. ORCID:0000-0002-0245-8619 ROR:https://ror.org/027m9bs27 Manchester U. Department of Physics and Astronomy, The University of Manchester, Manchester M13 9PL, United Kingdom Sanfilippo, S. ORCID:0000-0001-5491-1705 ROR:https://ror.org/02k1zhm92 INFN, LNS INFN Laboratori Nazionali del Sud, Catania 95123, Italy Santone, D. ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham TW20 0EX, United Kingdom Santorelli, R. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain Savarese, C. ROR:https://ror.org/00hx57361 Princeton U. Physics Department, Princeton University, Princeton, New Jersey 08544, USA Scapparone, E. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Bologna, Bologna 40126, Italy Scioli, G. ROR:https://ror.org/02dqehb95 ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 Purdue U. Bologna U. INFN, Bologna Department of Physics and Astronomy, Università degli Studi di Bologna, Bologna 40126, Italy INFN Bologna, Bologna 40126, Italy Semenov, D.A. ROR:https://ror.org/037styt87 St. Petersburg, INP Saint Petersburg Nuclear Physics Institute, Gatchina 188350, Russia Shchagin, A. Belgorod State U. Radiation Physics Laboratory, Belgorod National Research University, Belgorod 308007, Russia Sheshukov, A. ROR:https://ror.org/044yd9t77 Dubna, JINR Joint Institute for Nuclear Research, Dubna 141980, Russia Simeone, M. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples INFN Napoli, Napoli 80126, Italy Chemical, Materials, and Industrial Production Engineering Department, Università degli Studi “Federico II” di Napoli, Napoli 80126, Italy Skensved, P. ROR:https://ror.org/02y72wh86 Queen's U., Kingston Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, Ontario K7L 3N6, Canada Skorokhvatov, M.D. ROR:https://ror.org/00n1nz186 ROR:https://ror.org/04w8z7f34 Kurchatov Inst., Moscow Moscow Phys. Eng. Inst. National Research Centre Kurchatov Institute, Moscow 123182, Russia National Research Nuclear University MEPhI, Moscow 115409, Russia Smirnov, O. ROR:https://ror.org/044yd9t77 Dubna, JINR Joint Institute for Nuclear Research, Dubna 141980, Russia Smirnova, T. ROR:https://ror.org/00n1nz186 Kurchatov Inst., Moscow National Research Centre Kurchatov Institute, Moscow 123182, Russia Smith, B. ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T 2A3, Canada Sokolov, A. ROR:https://ror.org/03e5eem51 ROR:https://ror.org/04t2ss102 Novosibirsk, IYF Novosibirsk State U. Budker Institute of Nuclear Physics, Novosibirsk 630090, Russia Novosibirsk State University, Novosibirsk 630090, Russia Spangenberg, M. Coventry U. University of Warwick, Department of Physics, Coventry CV47AL, United Kingdom Stefanizzi, R. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy INFN Cagliari, Cagliari 09042, Italy Steri, A. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari INFN Cagliari, Cagliari 09042, Italy Stracka, S. ROR:https://ror.org/05symbg58 INFN, Pisa INFN Pisa, Pisa 56127, Italy Strickland, V. ROR:https://ror.org/02qtvee93 Carleton U. Department of Physics, Carleton University, Ottawa, Ontario K1S 5B6, Canada Stringer, M. ROR:https://ror.org/02y72wh86 Queen's U., Kingston Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, Ontario K7L 3N6, Canada Sulis, S. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Department of Electrical and Electronic Engineering, Università degli Studi di Cagliari, Cagliari 09123, Italy INFN Cagliari, Cagliari 09042, Italy Sung, A. ORCID:0000-0002-4000-3172 ROR:https://ror.org/00hx57361 Princeton U. Physics Department, Princeton University, Princeton, New Jersey 08544, USA Suvorov, Y. ROR:https://ror.org/015kcdd40 ROR:https://ror.org/00n1nz186 Naples U. INFN, Naples Kurchatov Inst., Moscow National Research Centre Kurchatov Institute, Moscow 123182, Russia INFN Napoli, Napoli 80126, Italy Physics Department, Università degli Studi “Federico II” di Napoli, Napoli 80126, Italy Szelc, A.M. ROR:https://ror.org/01nrxwf90 U. Edinburgh School of Physics and Astronomy, University of Edinburgh, Edinburgh EH9 3FD, United Kingdom Türkoğ, C. Türkoğlu, C. Warsaw, Copernicus Astron. Ctr. AstroCeNT, Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences, 00-614 Warsaw, Poland Tartaglia, R. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Taylor, A. ROR:https://ror.org/04xs57h96 Liverpool U. Department of Physics, University of Liverpool, The Oliver Lodge Laboratory, Liverpool L69 7ZE, United Kingdom Taylor, J. ROR:https://ror.org/04xs57h96 Liverpool U. Department of Physics, University of Liverpool, The Oliver Lodge Laboratory, Liverpool L69 7ZE, United Kingdom Tedesco, S. ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/00bgk9508 INFN, Turin Polytech. Turin INFN Torino, Torino 10125, Italy Department of Electronics and Communications, Politecnico di Torino, Torino 10129, Italy Testera, G. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Genova, Genova 16146, Italy Thieme, K. ORCID:0000-0003-3954-7612 ROR:https://ror.org/01wspgy28 Hawaii U. Department of Physics and Astronomy, University of Hawai’i, Honolulu, Hawaii 96822, USA Thorpe, T.N. ROR:https://ror.org/046rm7j60 UCLA Physics and Astronomy Department, University of California, Los Angeles, California 90095, USA Tonazzo, A. ROR:https://ror.org/03tnjrr49 APC, Paris APC, Université de Paris, CNRS, Astroparticule et Cosmologie, Paris F-75013, France Torres-Lara, S. ROR:https://ror.org/048sx0r50 Houston U. Department of Physics, University of Houston, Houston, Texas 77204, USA Tricomi, A. ROR:https://ror.org/02pq29p90 ROR:https://ror.org/03a64bh57 Messina U. INFN, Catania Catania U. Università of Catania, Catania 95124, Italy INFN Catania, Catania 95121, Italy Unzhakov, E.V. ROR:https://ror.org/037styt87 St. Petersburg, INP Saint Petersburg Nuclear Physics Institute, Gatchina 188350, Russia Vallivilayil John, T. ORCID:0009-0008-5049-4199 ROR:https://ror.org/02p77k626 ROR:https://ror.org/02s8k0k61 INFN, Aquila Rome U., Tor Vergata Gran Sasso Gran Sasso Science Institute, L’Aquila 67100, Italy INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy Van Uffelen, M. ROR:https://ror.org/00fw8bp86 Marseille, CPPM Centre de Physique des Particules de Marseille, Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France Viant, T. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics, ETH Zürich, Zürich 8093, Switzerland Viel, S. ROR:https://ror.org/02qtvee93 Carleton U. Department of Physics, Carleton University, Ottawa, Ontario K1S 5B6, Canada Vishneva, A. ROR:https://ror.org/044yd9t77 Dubna, JINR Joint Institute for Nuclear Research, Dubna 141980, Russia Vogelaar, R.B. ROR:https://ror.org/02smfhw86 Virginia Tech. Virginia Tech, Blacksburg, Virginia 24061, USA Vossebeld, J. ROR:https://ror.org/04xs57h96 Liverpool U. Department of Physics, University of Liverpool, The Oliver Lodge Laboratory, Liverpool L69 7ZE, United Kingdom Wada, M. ROR:https://ror.org/003109y17 Warsaw, Copernicus Astron. Ctr. Cagliari U. Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy AstroCeNT, Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences, 00-614 Warsaw, Poland Walczak, M.B. ORCID:0000-0002-2664-3317 Warsaw, Copernicus Astron. Ctr. AstroCeNT, Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences, 00-614 Warsaw, Poland Wang, Y. ROR:https://ror.org/03v8tnc06 ROR:https://ror.org/05qbk4x57 Beijing, Inst. High Energy Phys. Beijing, GUCAS University of Chinese Academy of Sciences, Beijing 100049, China Institute of High Energy Physics, Beijing 100049, China Westerdale, S. ORCID:0000-0001-8824-6205 ROR:https://ror.org/03nawhv43 ROR:https://ror.org/00hx57361 UC, Riverside Princeton U. Physics Department, Princeton University, Princeton, New Jersey 08544, USA Department of Physics and Astronomy, University of California, Riverside, California 92507, USA Wheadon, R.J. ROR:https://ror.org/01vj6ck58 INFN, Turin INFN Torino, Torino 10125, Italy Williams, L. ROR:https://ror.org/013pz1582 Lewis - Clark Coll. Department of Physics and Engineering, Fort Lewis College, Durango, Colorado 81301, USA Wingerter-Seez, I. ROR:https://ror.org/00fw8bp86 Marseille, CPPM Centre de Physique des Particules de Marseille, Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France Wojaczyński, R. Warsaw, Copernicus Astron. Ctr. AstroCeNT, Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences, 00-614 Warsaw, Poland Wojcik, Ma.M. ROR:https://ror.org/03bqmcz70 Jagiellonian U. M. Smoluchowski Institute of Physics, Jagiellonian University, 30-348 Krakow, Poland Wojcik, Ma. ROR:https://ror.org/00s8fpf52 Lodz, Tech. U. Institute of Applied Radiation Chemistry, Lodz University of Technology, 93-590 Lodz, Poland Wright, T. ROR:https://ror.org/02smfhw86 Virginia Tech. Virginia Tech, Blacksburg, Virginia 24061, USA Xie, Y. ROR:https://ror.org/03v8tnc06 ROR:https://ror.org/05qbk4x57 Beijing, Inst. High Energy Phys. Beijing, GUCAS University of Chinese Academy of Sciences, Beijing 100049, China Institute of High Energy Physics, Beijing 100049, China Yang, C. ROR:https://ror.org/03v8tnc06 ROR:https://ror.org/05qbk4x57 Beijing, Inst. High Energy Phys. Beijing, GUCAS University of Chinese Academy of Sciences, Beijing 100049, China Institute of High Energy Physics, Beijing 100049, China Zabihi, A. Warsaw, Copernicus Astron. Ctr. AstroCeNT, Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences, 00-614 Warsaw, Poland Zakhary, P. Warsaw, Copernicus Astron. Ctr. AstroCeNT, Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences, 00-614 Warsaw, Poland Zani, A. ROR:https://ror.org/04w4m6z96 INFN, Milan INFN Milano, Milano 20133, Italy Zichichi, A. ROR:https://ror.org/02dqehb95 ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 Purdue U. Bologna U. INFN, Bologna Department of Physics and Astronomy, Università degli Studi di Bologna, Bologna 40126, Italy INFN Bologna, Bologna 40126, Italy Zuzel, G. ROR:https://ror.org/03bqmcz70 Jagiellonian U. M. Smoluchowski Institute of Physics, Jagiellonian University, 30-348 Krakow, Poland Zykova, M.P. Lomonosov Inst. Fine Chem. Tech. Mendeleev University of Chemical Technology, Moscow 125047, Russia Global Argon Dark Matter Collaboration 112006 publication 11 Phys. Rev. D 107 Phys. Rev. D 107, 112006 (2023) 2023 https://lss.fnal.gov/archive/2022/pub/fermilab-pub-22-658-nd-ppd.pdf Fermilab Accepted Manuscript 2387561 66962 http://cds.cern.ch/record/2826374/files/neutrino_cevns_ne2.png 00003 Coherent elastic neutrino-nucleus scattering background from all sources ($pp$ neutrinos not visible), zoomed into \emph{(top)} \SIrange{0}{50}{\el} and \emph{(bottom)} \SIrange{0}{5}{\el}. 2387562 1897334 http://cds.cern.ch/record/2826374/files/2209.01177.pdf Fulltext 2387563 75391 http://cds.cern.ch/record/2826374/files/exclusion_migdal.png 00010 Projected \NinetyPerCentCL\ upper limits on the spin-independent DM-nucleon scattering cross section for \DSLMExposure\ exposure: \emph{(Top, left)} with and without binomial quenching fluctuations. \emph{(Top, right)} with varying thresholds and background rates. \emph{(Bottom, left)} including the Migdal effect. \emph{(Bottom, right)} attempting to model and fit \SE\ backgrounds (see \refeqn{eq:se_spectra}) at varying impurity concentrations relative to \DSf, $\eta$. Unless otherwise stated, projections assume binomial quenching fluctuations and an \ce{^39Ar} activity of \DSfUArArThreeNineActivityOverTen. The neutrino fog in \LAr\ with index $n$ representing the resulting impediment to a $3\sigma$ \DM\ observation is shown in shades of gray, calculated to $\text{m}_\chi\SI{=100}{\MeV\per\square\c}$~\cite{ohareNewDefinitionNeutrino2021}. Current limits are shown from CRESST-III~\cite{petriccaFirstResultsLowmass2020}, \DSf~\cite{ds50SearchLowmassDark2022,ds50Migdal2022}, and \XENONOT~\cite{aprile_light_2019,aprileSearchLightDark2019}. 2387564 82981 http://cds.cern.ch/record/2826374/files/discovery_nuclearscattering.png 00014 Projected \emph{(Top)} \NinetyPerCentCL\ exclusion curves for the spin-independent \DM-nucleon scattering cross section with \DSfUArArThreeNineActivityOverTen\ of \ce{^39Ar}, compared to (solid) current and (dashed) projected limits. \emph{(Bottom)} $3\sigma$ significance evidence contours with a (dashed) \num{2} or (dotted) \SI{4}{\el} threshold and (thick) \DSfUArArThreeNineActivityOverOneHundredVal\ or (thin) \DSfUArArThreeNineActivityOverTen\ of \ce{^39Ar}. Binomial quenching fluctuations and \SI{1}{\tonne\year} exposures are assumed. The neutrino fog in \LAr, with $n$ denoting the impediment to a $3\sigma$ \DM\ observation, is in gray~\cite{ohareNewDefinitionNeutrino2021}. Limits from CRESST-III~\cite{petriccaFirstResultsLowmass2020}, \DSf~\cite{ds50SearchLowmassDark2022}, and \XENONOT~\cite{aprile_light_2019} are shown, along with DAMIC-1K~\cite{damiccollaborationConstraintsLightDark2019}, NEWS-G, and SuperCDMS~\cite{supercdmscollaborationProjectedSensitivitySuperCDMS2017} projections. 2387565 57176 http://cds.cern.ch/record/2826374/files/bkgd_summary.png 00004 Backgrounds from \grs, \isotope{39}{Ar}, and \CEnNS, compared to \DSf. \DM\ spectra for are shown at \numlist{2.5;5;10}\,\si{\GeV\per\square\c} masses with spin-independent nucleon-scattering cross section \mbox{$\sigma_\text{SI}=\SI{e-44}{\square\cm}$}. 2387566 81946 http://cds.cern.ch/record/2826374/files/exclusion_projection.png 00013 Projected \emph{(Top)} \NinetyPerCentCL\ exclusion curves for the spin-independent \DM-nucleon scattering cross section with \DSfUArArThreeNineActivityOverTen\ of \ce{^39Ar}, compared to (solid) current and (dashed) projected limits. \emph{(Bottom)} $3\sigma$ significance evidence contours with a (dashed) \num{2} or (dotted) \SI{4}{\el} threshold and (thick) \DSfUArArThreeNineActivityOverOneHundredVal\ or (thin) \DSfUArArThreeNineActivityOverTen\ of \ce{^39Ar}. Binomial quenching fluctuations and \SI{1}{\tonne\year} exposures are assumed. The neutrino fog in \LAr, with $n$ denoting the impediment to a $3\sigma$ \DM\ observation, is in gray~\cite{ohareNewDefinitionNeutrino2021}. Limits from CRESST-III~\cite{petriccaFirstResultsLowmass2020}, \DSf~\cite{ds50SearchLowmassDark2022}, and \XENONOT~\cite{aprile_light_2019} are shown, along with DAMIC-1K~\cite{damiccollaborationConstraintsLightDark2019}, NEWS-G, and SuperCDMS~\cite{supercdmscollaborationProjectedSensitivitySuperCDMS2017} projections. 2387567 60302 http://cds.cern.ch/record/2826374/files/sensitivity_vs_ar39.png 00006 Median \NinetyPerCentCL\ upper limits and $1\sigma$ expectation band on \DSLowMassMidMass\ \DM\ at varying \isotope{39}{Ar} activity. 2387568 72704 http://cds.cern.ch/record/2826374/files/se_spectra.png 00007 \SE\ spectra scaled from \DSf\ using \refeqn{eq:se_spectra} and \refeqn{eq:se_scaling}, for different electron amplification factors \gTwo, excess noise factor $F$, and impurity scaling factors $\eta$. Backgrounds from other sources are shown for comparison, assuming a \DSfUArArThreeNineActivityOverTen\ \isotope{39}{Ar} activity. 2387569 134088 http://cds.cern.ch/record/2826374/files/exclusion_electronscattering.png 00015 Projected \emph{(left)} \NinetyPerCentCL\ exclusion curves and \emph{(right)} $3\sigma$ significance evidence contours for \DM-electron couplings with \emph{(top)} light and \emph{(bottom)} heavy mediators. Bands show \SI{1}{\tonne\year} contours with \SIrange{7.3}{73}{\micro\becquerel\per\kg} of \ce{^39Ar}. Limits are shown from \DSf~\cite{ds50electronic2022}, SENSEI~\cite{barakSENSEIDirectDetectionResults2020}, XENON10~\cite{essigNewConstraintsProspects2017}, and \XENONOT~\cite{aprile_light_2019}. Thick lines show $\bar{\sigma}_e$ giving the relic \DM\ abundance through freeze-in or freeze-out production mechanisms, from \refcite{essigDirectDetectionSubGeV2016}. 2387570 87480 http://cds.cern.ch/record/2826374/files/exclusion_scenarios.png 00009 Projected \NinetyPerCentCL\ upper limits on the spin-independent DM-nucleon scattering cross section for \DSLMExposure\ exposure: \emph{(Top, left)} with and without binomial quenching fluctuations. \emph{(Top, right)} with varying thresholds and background rates. \emph{(Bottom, left)} including the Migdal effect. \emph{(Bottom, right)} attempting to model and fit \SE\ backgrounds (see \refeqn{eq:se_spectra}) at varying impurity concentrations relative to \DSf, $\eta$. Unless otherwise stated, projections assume binomial quenching fluctuations and an \ce{^39Ar} activity of \DSfUArArThreeNineActivityOverTen. The neutrino fog in \LAr\ with index $n$ representing the resulting impediment to a $3\sigma$ \DM\ observation is shown in shades of gray, calculated to $\text{m}_\chi\SI{=100}{\MeV\per\square\c}$~\cite{ohareNewDefinitionNeutrino2021}. Current limits are shown from CRESST-III~\cite{petriccaFirstResultsLowmass2020}, \DSf~\cite{ds50SearchLowmassDark2022,ds50Migdal2022}, and \XENONOT~\cite{aprile_light_2019,aprileSearchLightDark2019}. 2387571 49744 http://cds.cern.ch/record/2826374/files/sensitivity_vs_expo.png 00012 Median \NinetyPerCentCL\ upper limit and $1\sigma$ expectation band for \SI{5}{\GeV\per\square\c} \DM\ at varying exposure. 2387572 82338 http://cds.cern.ch/record/2826374/files/sensitivity_quenchingfluctuatoins.png 00008 Projected \NinetyPerCentCL\ upper limits on the spin-independent DM-nucleon scattering cross section for \DSLMExposure\ exposure: \emph{(Top, left)} with and without binomial quenching fluctuations. \emph{(Top, right)} with varying thresholds and background rates. \emph{(Bottom, left)} including the Migdal effect. \emph{(Bottom, right)} attempting to model and fit \SE\ backgrounds (see \refeqn{eq:se_spectra}) at varying impurity concentrations relative to \DSf, $\eta$. Unless otherwise stated, projections assume binomial quenching fluctuations and an \ce{^39Ar} activity of \DSfUArArThreeNineActivityOverTen. The neutrino fog in \LAr\ with index $n$ representing the resulting impediment to a $3\sigma$ \DM\ observation is shown in shades of gray, calculated to $\text{m}_\chi\SI{=100}{\MeV\per\square\c}$~\cite{ohareNewDefinitionNeutrino2021}. Current limits are shown from CRESST-III~\cite{petriccaFirstResultsLowmass2020}, \DSf~\cite{ds50SearchLowmassDark2022,ds50Migdal2022}, and \XENONOT~\cite{aprile_light_2019,aprileSearchLightDark2019}. 2387573 135265 http://cds.cern.ch/record/2826374/files/discovery_electronscattering.png 00016 Projected \emph{(left)} \NinetyPerCentCL\ exclusion curves and \emph{(right)} $3\sigma$ significance evidence contours for \DM-electron couplings with \emph{(top)} light and \emph{(bottom)} heavy mediators. Bands show \SI{1}{\tonne\year} contours with \SIrange{7.3}{73}{\micro\becquerel\per\kg} of \ce{^39Ar}. Limits are shown from \DSf~\cite{ds50electronic2022}, SENSEI~\cite{barakSENSEIDirectDetectionResults2020}, XENON10~\cite{essigNewConstraintsProspects2017}, and \XENONOT~\cite{aprile_light_2019}. Thick lines show $\bar{\sigma}_e$ giving the relic \DM\ abundance through freeze-in or freeze-out production mechanisms, from \refcite{essigDirectDetectionSubGeV2016}. 2387574 81271 http://cds.cern.ch/record/2826374/files/qy_curves.png 00001 Ionization yield models assumed in these studies for (top) nuclear recoils and (bottom) electronic recoils. Bands show $\pm1\sigma$ uncertainty from the fit to constraints. 2387575 79638 http://cds.cern.ch/record/2826374/files/exclusion_sefits.png 00011 Projected \NinetyPerCentCL\ upper limits on the spin-independent DM-nucleon scattering cross section for \DSLMExposure\ exposure: \emph{(Top, left)} with and without binomial quenching fluctuations. \emph{(Top, right)} with varying thresholds and background rates. \emph{(Bottom, left)} including the Migdal effect. \emph{(Bottom, right)} attempting to model and fit \SE\ backgrounds (see \refeqn{eq:se_spectra}) at varying impurity concentrations relative to \DSf, $\eta$. Unless otherwise stated, projections assume binomial quenching fluctuations and an \ce{^39Ar} activity of \DSfUArArThreeNineActivityOverTen. The neutrino fog in \LAr\ with index $n$ representing the resulting impediment to a $3\sigma$ \DM\ observation is shown in shades of gray, calculated to $\text{m}_\chi\SI{=100}{\MeV\per\square\c}$~\cite{ohareNewDefinitionNeutrino2021}. Current limits are shown from CRESST-III~\cite{petriccaFirstResultsLowmass2020}, \DSf~\cite{ds50SearchLowmassDark2022,ds50Migdal2022}, and \XENONOT~\cite{aprile_light_2019,aprileSearchLightDark2019}. 2387576 443368 http://cds.cern.ch/record/2826374/files/DS-LM_drawing.png 00000 Conceptual detector design: a \DSLMTargetActiveMass\ dual-phase \LArTPC\ in an acrylic vessel, viewed by two photosensor arrays via \DSLMPDMOffset\ ``buffer vetoes'', in a \UAr\ ``bath veto'' in a cryostat, immersed in a water tank (not shown). 2387577 57463 http://cds.cern.ch/record/2826374/files/veto_edep.png 00005 Energy deposited in (blue) the \PDM\ buffer veto and (green) bath veto for simulated \grs\ from the photoelectronics with \SI{<3}{\keV} single-scatters in the \TPC\ fiducial volume, considering both vetoes independently. 2387578 36126 http://cds.cern.ch/record/2826374/files/xyresolution.png 00002 Horizontal position resolution \XYResolutionSymbol\ as a function of signal size. Between \SIrange{1}{15}{\el}, \XYResolutionSymbol\ is between \SIrange{2}{7}{\cm}. The dark line shows the median \XYResolutionSymbol, and the lighter band is the $1\sigma$ confidence belt from simulation statistics. 2390179 1502130 http://cds.cern.ch/record/2826374/files/91ce6168799b33f720d8ae133fe8e56d.pdf Fulltext 2459629 49744 http://cds.cern.ch/record/2826374/files/w12_sensitivity_vs_expo.png 00012 Median \NinetyPerCentCL\ upper limit and $1\sigma$ expectation band for \SI{5}{\GeV\per\square\c} \DM\ at varying exposure. 2459630 57463 http://cds.cern.ch/record/2826374/files/w5_veto_edep.png 00005 Energy deposited in (blue) the \PDM\ buffer veto and (green) bath veto for simulated \grs\ from the photoelectronics with \SI{<3}{\keV} single-scatters in the \TPC\ fiducial volume, considering both vetoes independently. 2459631 134088 http://cds.cern.ch/record/2826374/files/w15_exclusion_electronscattering.png 00015 Projected \emph{(left)} \NinetyPerCentCL\ exclusion curves and \emph{(right)} $3\sigma$ significance evidence contours for \DM-electron couplings with \emph{(top)} light and \emph{(bottom)} heavy mediators. Bands show \SI{1}{\tonne\year} contours with \SIrange{7.3}{73}{\micro\becquerel\per\kg} of \ce{^39Ar}. Limits are shown from \DSf~\cite{ds50electronic2022}, SENSEI~\cite{barakSENSEIDirectDetectionResults2020}, XENON10~\cite{essigNewConstraintsProspects2017}, and \XENONOT~\cite{aprile_light_2019}. Thick lines show $\bar{\sigma}_e$ giving the relic \DM\ abundance through freeze-in or freeze-out production mechanisms, from \refcite{essigDirectDetectionSubGeV2016}. 2459632 135265 http://cds.cern.ch/record/2826374/files/w16_discovery_electronscattering.png 00016 Projected \emph{(left)} \NinetyPerCentCL\ exclusion curves and \emph{(right)} $3\sigma$ significance evidence contours for \DM-electron couplings with \emph{(top)} light and \emph{(bottom)} heavy mediators. Bands show \SI{1}{\tonne\year} contours with \SIrange{7.3}{73}{\micro\becquerel\per\kg} of \ce{^39Ar}. Limits are shown from \DSf~\cite{ds50electronic2022}, SENSEI~\cite{barakSENSEIDirectDetectionResults2020}, XENON10~\cite{essigNewConstraintsProspects2017}, and \XENONOT~\cite{aprile_light_2019}. Thick lines show $\bar{\sigma}_e$ giving the relic \DM\ abundance through freeze-in or freeze-out production mechanisms, from \refcite{essigDirectDetectionSubGeV2016}. 2459633 57176 http://cds.cern.ch/record/2826374/files/w4_bkgd_summary.png 00004 Backgrounds from \grs, \isotope{39}{Ar}, and \CEnNS, compared to \DSf. \DM\ spectra for are shown at \numlist{2.5;5;10}\,\si{\GeV\per\square\c} masses with spin-independent nucleon-scattering cross section \mbox{$\sigma_\text{SI}=\SI{e-44}{\square\cm}$}. 2459634 443368 http://cds.cern.ch/record/2826374/files/w0_DS-LM_drawing.png 00000 Conceptual detector design: a \DSLMTargetActiveMass\ dual-phase \LArTPC\ in an acrylic vessel, viewed by two photosensor arrays via \DSLMPDMOffset\ ``buffer vetoes'', in a \UAr\ ``bath veto'' in a cryostat, immersed in a water tank (not shown). 2459635 77363 http://cds.cern.ch/record/2826374/files/w10_exclusion_migdal.png 00010 Projected \NinetyPerCentCL\ upper limits on the spin-independent DM-nucleon scattering cross section for \DSLMExposure\ exposure: \emph{(Top, left)} with and without binomial quenching fluctuations. \emph{(Top, right)} with varying thresholds and background rates. \emph{(Bottom, left)} including the Migdal effect. \emph{(Bottom, right)} attempting to model and fit \SE\ backgrounds (see \refeqn{eq:se_spectra}) at varying impurity concentrations relative to \DSf, $\eta$. Unless otherwise stated, projections assume binomial quenching fluctuations and an \ce{^39Ar} activity of \DSfUArArThreeNineActivityOverTen. The neutrino fog in \LAr\ with index $n$ representing the resulting impediment to a $3\sigma$ \DM\ observation is shown in shades of gray, calculated to $\text{m}_\chi\SI{=100}{\MeV\per\square\c}$~\cite{ohareNewDefinitionNeutrino2021}. Current limits are shown from CRESST-III~\cite{petriccaFirstResultsLowmass2020}, \DSf~\cite{ds50SearchLowmassDark2022,ds50Migdal2022}, and \XENONOT~\cite{aprile_light_2019,aprileSearchLightDark2019}. 2459636 72704 http://cds.cern.ch/record/2826374/files/w7_se_spectra.png 00007 \SE\ spectra scaled from \DSf\ using \refeqn{eq:se_spectra} and \refeqn{eq:se_scaling}, for different electron amplification factors \gTwo, excess noise factor $F$, and impurity scaling factors $\eta$. Backgrounds from other sources are shown for comparison, assuming a \DSfUArArThreeNineActivityOverTen\ \isotope{39}{Ar} activity. 2459637 79638 http://cds.cern.ch/record/2826374/files/w11_exclusion_sefits.png 00011 Projected \NinetyPerCentCL\ upper limits on the spin-independent DM-nucleon scattering cross section for \DSLMExposure\ exposure: \emph{(Top, left)} with and without binomial quenching fluctuations. \emph{(Top, right)} with varying thresholds and background rates. \emph{(Bottom, left)} including the Migdal effect. \emph{(Bottom, right)} attempting to model and fit \SE\ backgrounds (see \refeqn{eq:se_spectra}) at varying impurity concentrations relative to \DSf, $\eta$. Unless otherwise stated, projections assume binomial quenching fluctuations and an \ce{^39Ar} activity of \DSfUArArThreeNineActivityOverTen. The neutrino fog in \LAr\ with index $n$ representing the resulting impediment to a $3\sigma$ \DM\ observation is shown in shades of gray, calculated to $\text{m}_\chi\SI{=100}{\MeV\per\square\c}$~\cite{ohareNewDefinitionNeutrino2021}. Current limits are shown from CRESST-III~\cite{petriccaFirstResultsLowmass2020}, \DSf~\cite{ds50SearchLowmassDark2022,ds50Migdal2022}, and \XENONOT~\cite{aprile_light_2019,aprileSearchLightDark2019}. 2459638 60302 http://cds.cern.ch/record/2826374/files/w6_sensitivity_vs_ar39.png 00006 Median \NinetyPerCentCL\ upper limits and $1\sigma$ expectation band on \DSLowMassMidMass\ \DM\ at varying \isotope{39}{Ar} activity. 2459639 81271 http://cds.cern.ch/record/2826374/files/w1_qy_curves.png 00001 Ionization yield models assumed in these studies for (top) nuclear recoils and (bottom) electronic recoils. Bands show $\pm1\sigma$ uncertainty from the fit to constraints. 2459640 82338 http://cds.cern.ch/record/2826374/files/w8_sensitivity_quenchingfluctuatoins.png 00008 Projected \NinetyPerCentCL\ upper limits on the spin-independent DM-nucleon scattering cross section for \DSLMExposure\ exposure: \emph{(Top, left)} with and without binomial quenching fluctuations. \emph{(Top, right)} with varying thresholds and background rates. \emph{(Bottom, left)} including the Migdal effect. \emph{(Bottom, right)} attempting to model and fit \SE\ backgrounds (see \refeqn{eq:se_spectra}) at varying impurity concentrations relative to \DSf, $\eta$. Unless otherwise stated, projections assume binomial quenching fluctuations and an \ce{^39Ar} activity of \DSfUArArThreeNineActivityOverTen. The neutrino fog in \LAr\ with index $n$ representing the resulting impediment to a $3\sigma$ \DM\ observation is shown in shades of gray, calculated to $\text{m}_\chi\SI{=100}{\MeV\per\square\c}$~\cite{ohareNewDefinitionNeutrino2021}. Current limits are shown from CRESST-III~\cite{petriccaFirstResultsLowmass2020}, \DSf~\cite{ds50SearchLowmassDark2022,ds50Migdal2022}, and \XENONOT~\cite{aprile_light_2019,aprileSearchLightDark2019}. 2459641 36126 http://cds.cern.ch/record/2826374/files/w2_xyresolution.png 00002 Horizontal position resolution \XYResolutionSymbol\ as a function of signal size. Between \SIrange{1}{15}{\el}, \XYResolutionSymbol\ is between \SIrange{2}{7}{\cm}. The dark line shows the median \XYResolutionSymbol, and the lighter band is the $1\sigma$ confidence belt from simulation statistics. 2459642 82981 http://cds.cern.ch/record/2826374/files/w14_discovery_nuclearscattering.png 00014 Projected \emph{(Top)} \NinetyPerCentCL\ exclusion curves for the spin-independent \DM-nucleon scattering cross section with \DSfUArArThreeNineActivityOverTen\ of \ce{^39Ar}, compared to (solid) current and (dashed) projected limits. \emph{(Bottom)} $3\sigma$ significance evidence contours with a (dashed) \num{2} or (dotted) \SI{4}{\el} threshold and (thick) \DSfUArArThreeNineActivityOverOneHundredVal\ or (thin) \DSfUArArThreeNineActivityOverTen\ of \ce{^39Ar}. Binomial quenching fluctuations and \SI{1}{\tonne\year} exposures are assumed. The neutrino fog in \LAr, with $n$ denoting the impediment to a $3\sigma$ \DM\ observation, is in gray~\cite{ohareNewDefinitionNeutrino2021}. Limits from CRESST-III~\cite{petriccaFirstResultsLowmass2020}, \DSf~\cite{ds50SearchLowmassDark2022}, and \XENONOT~\cite{aprile_light_2019} are shown, along with DAMIC-1K~\cite{damiccollaborationConstraintsLightDark2019}, NEWS-G, and SuperCDMS~\cite{supercdmscollaborationProjectedSensitivitySuperCDMS2017} projections. 2459643 87480 http://cds.cern.ch/record/2826374/files/w9_exclusion_scenarios.png 00009 Projected \NinetyPerCentCL\ upper limits on the spin-independent DM-nucleon scattering cross section for \DSLMExposure\ exposure: \emph{(Top, left)} with and without binomial quenching fluctuations. \emph{(Top, right)} with varying thresholds and background rates. \emph{(Bottom, left)} including the Migdal effect. \emph{(Bottom, right)} attempting to model and fit \SE\ backgrounds (see \refeqn{eq:se_spectra}) at varying impurity concentrations relative to \DSf, $\eta$. Unless otherwise stated, projections assume binomial quenching fluctuations and an \ce{^39Ar} activity of \DSfUArArThreeNineActivityOverTen. The neutrino fog in \LAr\ with index $n$ representing the resulting impediment to a $3\sigma$ \DM\ observation is shown in shades of gray, calculated to $\text{m}_\chi\SI{=100}{\MeV\per\square\c}$~\cite{ohareNewDefinitionNeutrino2021}. Current limits are shown from CRESST-III~\cite{petriccaFirstResultsLowmass2020}, \DSf~\cite{ds50SearchLowmassDark2022,ds50Migdal2022}, and \XENONOT~\cite{aprile_light_2019,aprileSearchLightDark2019}. 2459644 81946 http://cds.cern.ch/record/2826374/files/w13_exclusion_projection.png 00013 Projected \emph{(Top)} \NinetyPerCentCL\ exclusion curves for the spin-independent \DM-nucleon scattering cross section with \DSfUArArThreeNineActivityOverTen\ of \ce{^39Ar}, compared to (solid) current and (dashed) projected limits. \emph{(Bottom)} $3\sigma$ significance evidence contours with a (dashed) \num{2} or (dotted) \SI{4}{\el} threshold and (thick) \DSfUArArThreeNineActivityOverOneHundredVal\ or (thin) \DSfUArArThreeNineActivityOverTen\ of \ce{^39Ar}. Binomial quenching fluctuations and \SI{1}{\tonne\year} exposures are assumed. The neutrino fog in \LAr, with $n$ denoting the impediment to a $3\sigma$ \DM\ observation, is in gray~\cite{ohareNewDefinitionNeutrino2021}. Limits from CRESST-III~\cite{petriccaFirstResultsLowmass2020}, \DSf~\cite{ds50SearchLowmassDark2022}, and \XENONOT~\cite{aprile_light_2019} are shown, along with DAMIC-1K~\cite{damiccollaborationConstraintsLightDark2019}, NEWS-G, and SuperCDMS~\cite{supercdmscollaborationProjectedSensitivitySuperCDMS2017} projections. 2459645 66962 http://cds.cern.ch/record/2826374/files/w3_neutrino_cevns_ne2.png 00003 Coherent elastic neutrino-nucleus scattering background from all sources ($pp$ neutrinos not visible), zoomed into \emph{(top)} \SIrange{0}{50}{\el} and \emph{(bottom)} \SIrange{0}{5}{\el}. 2729447 1825872 http://cds.cern.ch/record/2826374/files/7ede44e631b65e81b189ef9ecc6a4614.pdf Fulltext 13 ARTICLE 2838840 20251201182910.0 eng CERN. Geneva CERN and the Environment CERN - 503/1-001 - Council Chamber 2022-10-13T11:40:00 2022-10-13T12:00:00 1193771c28 Environmentally-responsible procurement 2022 2022-10-13 1188 Streaming video General CERN and the Environment Restricted cern-accounts [CERN] indico-data-managers [CERN] group CDS Invenio SzGeCERN Restricted christopher.hartley@cern.ch luca.sironi@cern.ch celine.ecarnot@cern.ch roberto.losito@cern.ch anna.cook@cern.ch johanna.picard@cern.ch sonja.kleiner@cern.ch roxana.cristina.banica@cern.ch mar.capeans@cern.ch manfred.krammer@cern.ch serge.claudet@cern.ch benoit.delille@cern.ch stefan.roesler@cern.ch emeline.dolmazon@cern.ch email CDS Invenio SzGeCERN 2022-10-13T11:40:00 <!--HTML-->In the context of the elaboration of the second CERN environment report (2019-2020 period), an analysis was carried out to identify CERN’s main indirect CO2 emissions (Scope 3) contributors. The results of this analysis confirmed the important contribution of CERN's procurement supply chain to the Organization’s Scope 3 emissions. The presentation is about the project aiming at defining an environmentally responsible procurement policy for CERN. The CERN Environmentally Responsible Procurement Policy Project (CERP3) will demonstrate the feasibility of implementing such a policy at CERN, and define the overall objectives as well as the modalities of implementation within the Organization. The following main goals of the Project are based in particular on the GRI standards, ISO 14000, ISO 26000, OHSAS 18001, SA 8000 and are aligned with the principles of exemplarity, environmental integrity, equity and governance:  Propose a draft CERN environmentally responsible procurement policy and a strategic positioning (defensive, competitive, offensive) for the economic and environmental aspects first.  Establish procurement practices with the objective to reduce the CERN procurement impact on the environment following Host States’ lessons learnt, methodologies and tools.  Use responsible procurement to create and equitably distribute value across the supply chains while achieving balanced industrial return for all the Member States.  Commit to responsible sourcing and motivate MPEs, MPAs and suppliers to do the same. CERN 2022 General Event TALK CERN Cennini, Enrico speaker CERN https://indico.cern.ch/event/1193771/contributions/5031916/ Talk details https://indico.cern.ch/event/1193771/ Event details MediaArchive /mnt/master_share/master_data/2022/1193771c28 Absolute master path MediaArchive /2022/1193771c28/1193771c28_en.vtt subtitle subtitle English MediaArchive /2022/1193771c28/1193771c28_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1193771c28/1193771c28-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1193771c28/1193771c28-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 604848 MediaArchive https://lecturemedia.cern.ch/2022/1193771c28/1193771c28-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 235315 MediaArchive https://lecturemedia.cern.ch/2022/1193771c28/1193771c28-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1062167 MediaArchive https://lecturemedia.cern.ch/2022/1193771c28/1193771c28-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 98355 MediaArchive https://lecturemedia.cern.ch/2022/1193771c28/1193771c28-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 90457 MediaArchive https://lecturemedia.cern.ch/2022/1193771c28/1193771c28-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 868268 MediaArchive https://lecturemedia.cern.ch/2022/1193771c28/1193771c28-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 2798011 MediaArchive https://lecturemedia.cern.ch/2022/1193771c28/1193771c28-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 265939 johanna.picard@cern.ch 2022-08-24T13:38:54 2022-10-28T14:54:19 PUBLIC INDICO.1193771c28 https://videos.cern.ch/legacy/record/2838840 Indico TALK MIGRATED 2838782 20251201182323.0 eng CERN. Geneva EN Workshop 2022 CERN - 80/1-001 - Globe of Science and Innovation - 1st Floor 2022-10-13T15:20:00 2022-10-13T15:40:00 1109449c102 Optical Fibre Applications 2022 2022-10-13 1428 Streaming video EN Management Workshops EN Workshop 2022 Restricted en-dep [CERN] extended-directorate [CERN] en-dep-enmb [CERN] en-dep-group-leaders [CERN] extended-directorate-secr [CERN] en-dep-deputies-group-leaders [CERN] en-dep-section-leader [CERN] en-dep-sec-admin [CERN] group CDS Invenio SzGeCERN Restricted anne-laure.perrot@cern.ch rachelle.decreuse@cern.ch sonia.escaffre@cern.ch emanuele.piemonti.spalazzi@cern.ch louisa.elizabeth.catherall@cern.ch mauro.nonis@cern.ch anna.lambert@cern.ch gilles.gautheron@cern.ch katy.foraz@cern.ch email CDS Invenio SzGeCERN 2022-10-13T15:20:00 <!--HTML-->Optical Fibres (OFs) are increasingly used for a large variety of applications at CERN. They respond to two major demands, which are crucial for the design and operation of accelerators and experiments: data communication and sensing applications. OFs became the preferred transmission medium of digital signals worldwide because of their extremely large bandwidth and low attenuation over long distances. A typical example of OF application at CERN is represented by the design of optical links for ATLAS and CMS upgrade (VL+ pr.), which will be detailed by the author. In particular, the most relevant technological aspects and the matching with typical CERN-specific requirements will be highlighted. In more recent years, new applications of OFs were found in the sensing domain. The main drivers of this development are related to unique features that make OF sensors highly complementary to preexisting technologies. This contribution will report on EN development studies on the Distributed Optical Fibre Radiation Sensors (DOFRS), as an example of such applications. Finally, the ongoing R&D on Hollow Core Fibres will be presented, being this domain of relevance for both data communication and sensing future applications. The above examples suggest how the rising fibre-technology trend becomes a unique opportunity for CERN systems to evolve from copper to fibre optics, leading to set the premises for having, in the long-term, more cost-effective and environmental-friendly infrastructures. CERN 2022 EN Management Workshops Event TALK CERN Di Francesca, Diego speaker CERN https://indico.cern.ch/event/1109449/contributions/4907305/ Talk details https://indico.cern.ch/event/1109449/ Event details MediaArchive /mnt/master_share/master_data/2022/1109449c102 Absolute master path MediaArchive /2022/1109449c102/1109449c102_en.vtt subtitle subtitle English MediaArchive /2022/1109449c102/1109449c102_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1109449c102/1109449c102-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1109449c102/1109449c102-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 769612 MediaArchive https://lecturemedia.cern.ch/2022/1109449c102/1109449c102-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 136372 MediaArchive https://lecturemedia.cern.ch/2022/1109449c102/1109449c102-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1253938 MediaArchive https://lecturemedia.cern.ch/2022/1109449c102/1109449c102-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 311890 MediaArchive https://lecturemedia.cern.ch/2022/1109449c102/1109449c102-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 290803 MediaArchive https://lecturemedia.cern.ch/2022/1109449c102/1109449c102-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 920716 MediaArchive https://lecturemedia.cern.ch/2022/1109449c102/1109449c102-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 2604492 MediaArchive https://lecturemedia.cern.ch/2022/1109449c102/1109449c102-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 83248 sonia.escaffre@cern.ch Foraz, Katy CERN 2022-01-04T15:45:55 2022-10-28T06:36:43 PUBLIC INDICO.1109449c102 https://videos.cern.ch/legacy/record/2838782 Indico TALK MIGRATED 2838711 20251201181833.0 eng CERN. Geneva EN Workshop 2022 CERN - 80/1-001 - Globe of Science and Innovation - 1st Floor 2022-10-13T11:20:00 2022-10-13T11:40:00 1109449c78 Primary R744 (CO2) Project 2022 2022-10-13 1307 Streaming video EN Management Workshops EN Workshop 2022 Restricted extended-directorate [CERN] en-dep-section-leader [CERN] en-dep-group-leaders [CERN] en-dep [CERN] extended-directorate-secr [CERN] en-dep-deputies-group-leaders [CERN] en-dep-sec-admin [CERN] en-dep-enmb [CERN] group CDS Invenio SzGeCERN Restricted katy.foraz@cern.ch rachelle.decreuse@cern.ch anna.lambert@cern.ch emanuele.piemonti.spalazzi@cern.ch anne-laure.perrot@cern.ch mauro.nonis@cern.ch sonia.escaffre@cern.ch louisa.elizabeth.catherall@cern.ch gilles.gautheron@cern.ch email CDS Invenio SzGeCERN 2022-10-13T11:20:00 <!--HTML-->In 2018, the CERN management decided that the cooling systems for the thermal management of the phase-II silicon detectors in the ATLAS and CMS experiments would be entirely based on CO2 refrigeration technology. The systems, similar in ATLAS & CMS, are booster refrigeration systems, composed of a two-stage primary part with transcritical R744 (CO2) equipment and of a low temperature secondary CO2 pumped loop. This presentation discusses the solution adopted for the R744 Primary part led by the EN-CV group, the secondary CO2 pumped loop being managed by the EP-DT group. It also introduces the project’s roadmap, describing the key milestones and its technical, safety and regulatory challenges with regards to the use of this natural and environmentally friendly refrigerant. CERN 2022 EN Management Workshops Event TALK CERN Hanf, Pierre speaker https://indico.cern.ch/event/1109449/contributions/4913886/ Talk details https://indico.cern.ch/event/1109449/ Event details MediaArchive /mnt/master_share/master_data/2022/1109449c78 Absolute master path MediaArchive /2022/1109449c78/1109449c78_en.vtt subtitle subtitle English MediaArchive /2022/1109449c78/1109449c78_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1109449c78/1109449c78-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1109449c78/1109449c78-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 300493 MediaArchive https://lecturemedia.cern.ch/2022/1109449c78/1109449c78-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 773704 MediaArchive https://lecturemedia.cern.ch/2022/1109449c78/1109449c78-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 124962 MediaArchive https://lecturemedia.cern.ch/2022/1109449c78/1109449c78-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1402332 MediaArchive https://lecturemedia.cern.ch/2022/1109449c78/1109449c78-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 964540 MediaArchive https://lecturemedia.cern.ch/2022/1109449c78/1109449c78-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 300358 MediaArchive https://lecturemedia.cern.ch/2022/1109449c78/1109449c78-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 2591731 MediaArchive https://lecturemedia.cern.ch/2022/1109449c78/1109449c78-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 85569 sonia.escaffre@cern.ch Foraz, Katy CERN 2022-01-04T15:45:55 2022-10-27T11:37:42 PUBLIC INDICO.1109449c78 https://videos.cern.ch/legacy/record/2838711 Indico TALK MIGRATED 2838710 20251201182440.0 eng CERN. Geneva EN Workshop 2022 CERN - 80/1-001 - Globe of Science and Innovation - 1st Floor 2022-10-12T16:40:00 2022-10-12T17:00:00 1109449c97 CV Consolidation Efforts 2022 2022-10-12 1088 Streaming video EN Management Workshops EN Workshop 2022 Restricted extended-directorate [CERN] en-dep-section-leader [CERN] en-dep-group-leaders [CERN] en-dep [CERN] extended-directorate-secr [CERN] en-dep-deputies-group-leaders [CERN] en-dep-sec-admin [CERN] en-dep-enmb [CERN] group CDS Invenio SzGeCERN Restricted katy.foraz@cern.ch rachelle.decreuse@cern.ch anna.lambert@cern.ch emanuele.piemonti.spalazzi@cern.ch anne-laure.perrot@cern.ch mauro.nonis@cern.ch sonia.escaffre@cern.ch louisa.elizabeth.catherall@cern.ch gilles.gautheron@cern.ch email CDS Invenio SzGeCERN 2022-10-12T16:40:00 <!--HTML-->The state of CERN’s technical infrastructure for cooling and ventilation presents a mixed picture, due to the progressive and continuous development of the Organization’s scientific facilities over the past 60 years. Several EN-CV installations, among them critical ones that are essential for the operation of the accelerator chain, have been in service for more than 30 years and their consolidation and upgrade are overdue. This paper describes experiences, scope, time and budget frameworks of the progressive and substantial consolidation program managed by EN-CV to improve the state of the installations under the group’s responsibility. Reliability and serviceability objectives are underpinned by radiation-, fire-, electrical-safety, energy efficiency and various safety and environmental aspects that are equally prioritized for these activities. Considering that a consolidated infrastructure shall be upgraded with additional functionalities to fulfil increased user requirements, EN-CV consolidations are significantly more than refurbishments and are essential to ensure reliable, safe, and sustainable operation of CERN’s scientific facilities while managing existing infrastructure dependencies. CERN 2022 EN Management Workshops Event TALK CERN Petrika, Gabor speaker CERN https://indico.cern.ch/event/1109449/contributions/4907301/ Talk details https://indico.cern.ch/event/1109449/ Event details MediaArchive /mnt/master_share/master_data/2022/1109449c97 Absolute master path MediaArchive /2022/1109449c97/1109449c97_en.vtt subtitle subtitle English MediaArchive /2022/1109449c97/1109449c97_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1109449c97/1109449c97-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1109449c97/1109449c97-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 118989 MediaArchive https://lecturemedia.cern.ch/2022/1109449c97/1109449c97-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 718373 MediaArchive https://lecturemedia.cern.ch/2022/1109449c97/1109449c97-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1265633 MediaArchive https://lecturemedia.cern.ch/2022/1109449c97/1109449c97-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 280613 MediaArchive https://lecturemedia.cern.ch/2022/1109449c97/1109449c97-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 922209 MediaArchive https://lecturemedia.cern.ch/2022/1109449c97/1109449c97-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 2567043 MediaArchive https://lecturemedia.cern.ch/2022/1109449c97/1109449c97-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 279833 MediaArchive https://lecturemedia.cern.ch/2022/1109449c97/1109449c97-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 81532 sonia.escaffre@cern.ch Foraz, Katy CERN 2022-01-04T15:45:55 2022-10-27T11:37:18 PUBLIC INDICO.1109449c97 https://videos.cern.ch/legacy/record/2838710 Indico TALK MIGRATED 2838617 20251201182436.0 eng CERN. Geneva EN Workshop 2022 CERN - 80/1-001 - Globe of Science and Innovation - 1st Floor 2022-10-11T11:30:00 2022-10-11T11:50:00 1109449c101 BIM Technology applied to CV engineering 2022 2022-10-11 1222 Streaming video EN Management Workshops EN Workshop 2022 Restricted en-dep-group-leaders [CERN] extended-directorate-secr [CERN] extended-directorate [CERN] en-dep [CERN] en-dep-section-leader [CERN] en-dep-enmb [CERN] en-dep-deputies-group-leaders [CERN] en-dep-sec-admin [CERN] group CDS Invenio SzGeCERN Restricted anne-laure.perrot@cern.ch katy.foraz@cern.ch anna.lambert@cern.ch louisa.elizabeth.catherall@cern.ch emanuele.piemonti.spalazzi@cern.ch mauro.nonis@cern.ch gilles.gautheron@cern.ch rachelle.decreuse@cern.ch sonia.escaffre@cern.ch email CDS Invenio SzGeCERN 2022-10-11T11:30:00 <!--HTML-->The world of engineering is facing many profound changes nowadays. The acceleration of the technological sphere, the unprecedented evolution of digital technology, the climate and environmental emergency, inevitably push us to rethink all or part of our production and construction methods. Building Information Methodology (BIM) engineering is an integrated part of this evolution, of this digital transformation. From the digital twin to its most complex applications, through a few concrete examples of BIM projects, we will see together how, from the design phase to the operating phase, this technology is articulated, what are its real advances, its advantages, its limits and also its potential evolutions everything that in a certain way draws and already prefigures the engineering of tomorrow. CERN 2022 EN Management Workshops Event TALK CERN Morales Valenzuela, Rodrigo Alfonso speaker CERN https://indico.cern.ch/event/1109449/contributions/4913769/ Talk details https://indico.cern.ch/event/1109449/ Event details MediaArchive /mnt/master_share/master_data/2022/1109449c101 Absolute master path MediaArchive /2022/1109449c101/1109449c101_en.vtt subtitle subtitle English MediaArchive /2022/1109449c101/1109449c101_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1109449c101/1109449c101-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1109449c101/1109449c101-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 311891 MediaArchive https://lecturemedia.cern.ch/2022/1109449c101/1109449c101-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1826799 MediaArchive https://lecturemedia.cern.ch/2022/1109449c101/1109449c101-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 110561 MediaArchive https://lecturemedia.cern.ch/2022/1109449c101/1109449c101-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 823521 MediaArchive https://lecturemedia.cern.ch/2022/1109449c101/1109449c101-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 898779 MediaArchive https://lecturemedia.cern.ch/2022/1109449c101/1109449c101-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 2531527 MediaArchive https://lecturemedia.cern.ch/2022/1109449c101/1109449c101-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 280460 MediaArchive https://lecturemedia.cern.ch/2022/1109449c101/1109449c101-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 80283 sonia.escaffre@cern.ch Foraz, Katy CERN 2022-01-04T15:45:55 2022-10-26T13:58:58 PUBLIC INDICO.1109449c101 https://videos.cern.ch/legacy/record/2838617 Indico TALK MIGRATED 2838613 20251201182436.0 eng CERN. Geneva EN Workshop 2022 CERN - 80/1-001 - Globe of Science and Innovation - 1st Floor 2022-10-13T10:00:00 2022-10-13T10:20:00 1109449c88 motorSENSE Project with ABB 2022 2022-10-13 1164 Streaming video EN Management Workshops EN Workshop 2022 Restricted en-dep-group-leaders [CERN] extended-directorate-secr [CERN] extended-directorate [CERN] en-dep [CERN] en-dep-section-leader [CERN] en-dep-enmb [CERN] en-dep-deputies-group-leaders [CERN] en-dep-sec-admin [CERN] group CDS Invenio SzGeCERN Restricted anne-laure.perrot@cern.ch katy.foraz@cern.ch anna.lambert@cern.ch louisa.elizabeth.catherall@cern.ch emanuele.piemonti.spalazzi@cern.ch mauro.nonis@cern.ch gilles.gautheron@cern.ch rachelle.decreuse@cern.ch sonia.escaffre@cern.ch email CDS Invenio SzGeCERN 2022-10-13T10:00:00 <!--HTML-->To make operation of the large-scale facilities more sustainable, energy consumption should be reduced by using more efficient, reliable and environmentally friendly equipment and processes. CERN, in collaboration with the ABB firm, is undertaking the motorSENSE Project which aims at assessing and improving the energy efficiency and reliability of the cooling and ventilation infrastructure of large-scale research facilities through a case study of the EN-CV infrastructure. The major goals of this project are threefold: 1) Creating a roadmap with the aim of achieving a 10-15 % overall energy saving in the EN-CV infrastructure. 2) Creating and validating a digital twin of the EN-CV infrastructure by enabling online diagnostics and predictive maintenance. 3) Publishing the conclusions and learnings from the case study to inspire industries and large-scale research facilities around the world to become more sustainable and reliable. After an introduction to the project, this paper will detail the different project phases and will give a progress status report. CERN 2022 EN Management Workshops Event TALK CERN Latif, Nauman speaker CERN https://indico.cern.ch/event/1109449/contributions/4920652/ Talk details https://indico.cern.ch/event/1109449/ Event details MediaArchive /mnt/master_share/master_data/2022/1109449c88 Absolute master path MediaArchive /2022/1109449c88/1109449c88_en.vtt subtitle subtitle English MediaArchive /2022/1109449c88/1109449c88_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1109449c88/1109449c88-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1109449c88/1109449c88-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1242451 MediaArchive https://lecturemedia.cern.ch/2022/1109449c88/1109449c88-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 115406 MediaArchive https://lecturemedia.cern.ch/2022/1109449c88/1109449c88-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 277798 MediaArchive https://lecturemedia.cern.ch/2022/1109449c88/1109449c88-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 715108 MediaArchive https://lecturemedia.cern.ch/2022/1109449c88/1109449c88-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 2367829 MediaArchive https://lecturemedia.cern.ch/2022/1109449c88/1109449c88-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 856645 MediaArchive https://lecturemedia.cern.ch/2022/1109449c88/1109449c88-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 71582 MediaArchive https://lecturemedia.cern.ch/2022/1109449c88/1109449c88-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 257294 sonia.escaffre@cern.ch Foraz, Katy CERN 2022-01-04T15:45:55 2022-10-26T13:55:05 PUBLIC INDICO.1109449c88 https://videos.cern.ch/legacy/record/2838613 Indico TALK MIGRATED 2837338 20251201182414.0 eng CERN. Geneva CERN and the Environment CERN - 503/1-001 - Council Chamber 2022-10-12T11:35:00 2022-10-12T12:05:00 1193771c3 The evolution of cooling fluids and methods in high energy physics and commercial refrigeration 2022 2022-10-12 2094 Streaming video General CERN and the Environment Restricted indico-data-managers [CERN] cern-accounts [CERN] group CDS Invenio SzGeCERN Restricted luca.sironi@cern.ch celine.ecarnot@cern.ch roberto.losito@cern.ch sonja.kleiner@cern.ch serge.claudet@cern.ch benoit.delille@cern.ch stefan.roesler@cern.ch mar.capeans@cern.ch johanna.picard@cern.ch roxana.cristina.banica@cern.ch anna.cook@cern.ch emeline.dolmazon@cern.ch christopher.hartley@cern.ch manfred.krammer@cern.ch email CDS Invenio SzGeCERN 2022-10-12T11:35:00 <!--HTML-->The method of cooling particle detectors has changed a lot since the start of the LHC program. In LHC the radiation is much higher than in the accelerators before. This led to the need for colder cooling and more radiation hard cooling fluids than before. The technical requirements for cooling hardware inside detectors also increased significantly. Heat loads have increased and lower mass (radiation length) was required. This needed boost in cooling efficiency has led to the introduction of evaporative cooling, like the C3F8 cooling in ATLAS and the CO2 cooling in LHCb. The introduction of the new methods have demonstrated that evaporative CO2 cooling is the ideal way to go for future detector cooling as its thermodynamic properties are superior to other methods leading to significant lower mass inside the detectors. CO2 cooling has been introduced successfully in some Phase 1 upgrade projects and is the base line for phase 2 upgrade projects. Parallel to the development of CO2 cooling for particle detectors, CO2 is also re-introduced as an environmental friendly cooling method for industrial refrigeration. CO2 as refrigeration technology also has great potential for CERN as it is very beneficial to lower CERN's greenhouse gas emissions. CO2 cooling also has special properties making energy recovery easier than conventional refrigerants as the end temperature of CO2 heat rejection is higher. This allows more possibilities for energy recovery for building heating for example. This talk will give an overview of the introduction of CO2 cooling at CERN and in industry. It will explain why CO2 cooling is beneficial for detector cooling and why it is an interesting method for a “green” future at CERN. The talk will also give insight in new cooling methods for the future where the requirements will be changing to even colder temperatures. CERN 2022 General Event TALK CERN Verlaat, Bart speaker CERN https://indico.cern.ch/event/1193771/contributions/5027125/ Talk details https://indico.cern.ch/event/1193771/ Event details MediaArchive /mnt/master_share/master_data/2022/1193771c3 Absolute master path MediaArchive /2022/1193771c3/1193771c3_en.vtt subtitle subtitle English MediaArchive /2022/1193771c3/1193771c3_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1193771c3/1193771c3-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1193771c3/1193771c3-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 147760 MediaArchive https://lecturemedia.cern.ch/2022/1193771c3/1193771c3-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1530247 MediaArchive https://lecturemedia.cern.ch/2022/1193771c3/1193771c3-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 351396 MediaArchive https://lecturemedia.cern.ch/2022/1193771c3/1193771c3-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 861063 MediaArchive https://lecturemedia.cern.ch/2022/1193771c3/1193771c3-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3134700 MediaArchive https://lecturemedia.cern.ch/2022/1193771c3/1193771c3-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 109013 MediaArchive https://lecturemedia.cern.ch/2022/1193771c3/1193771c3-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1023502 MediaArchive https://lecturemedia.cern.ch/2022/1193771c3/1193771c3-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 313547 johanna.picard@cern.ch 2022-08-24T13:38:54 2022-10-19T10:48:49 PUBLIC INDICO.1193771c3 https://videos.cern.ch/legacy/record/2837338 Indico TALK MIGRATED 2837229 20251201182425.0 eng CERN. Geneva CERN and the Environment CERN - 503/1-001 - Council Chamber 2022-10-12T09:35:00 2022-10-12T10:00:00 1193771c27 Energy Performance Plan towards ISO 50001 2022 2022-10-12 1820 Streaming video General CERN and the Environment Restricted indico-data-managers [CERN] cern-accounts [CERN] group CDS Invenio SzGeCERN Restricted emeline.dolmazon@cern.ch anna.cook@cern.ch roxana.cristina.banica@cern.ch johanna.picard@cern.ch sonja.kleiner@cern.ch stefan.roesler@cern.ch roberto.losito@cern.ch manfred.krammer@cern.ch celine.ecarnot@cern.ch mar.capeans@cern.ch serge.claudet@cern.ch christopher.hartley@cern.ch benoit.delille@cern.ch luca.sironi@cern.ch email CDS Invenio SzGeCERN 2022-10-12T09:35:00 <!--HTML-->With the growing environmental awareness of the recent decades, CERN strives to be an example for environmentally-friendly research. Energy is one of the factors in reducing the Organization's ecological footprint. In continuation with efforts to improve energy efficiency since 2015 through the Energy Management Panel (EMP), the Organization has initiated the process of obtaining the ISO 50001 certification for energy management. This process requires to define the Laboratory’s energy baseline and energy performance indicators covering the Organization’s main energy uses. It then sets objectives and energy targets and a plan to achieve them. Getting the certification also entails reviewing and completing CERN’s energy policy, designing new tools to measure performance, and organising formal audits carried out by an accredited certification body. This talk will cover the current status towards the certification, detailing the completed, ongoing and future steps. CERN 2022 General Event TALK CERN Bellegarde, Nicolas speaker CERN https://indico.cern.ch/event/1193771/contributions/5031913/ Talk details https://indico.cern.ch/event/1193771/ Event details MediaArchive /mnt/master_share/master_data/2022/1193771c27 Absolute master path MediaArchive /2022/1193771c27/1193771c27_en.vtt subtitle subtitle English MediaArchive /2022/1193771c27/1193771c27_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1193771c27/1193771c27-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1193771c27/1193771c27-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 736212 MediaArchive https://lecturemedia.cern.ch/2022/1193771c27/1193771c27-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 175982 MediaArchive https://lecturemedia.cern.ch/2022/1193771c27/1193771c27-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 435139 MediaArchive https://lecturemedia.cern.ch/2022/1193771c27/1193771c27-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 69522 MediaArchive https://lecturemedia.cern.ch/2022/1193771c27/1193771c27-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 283225 MediaArchive https://lecturemedia.cern.ch/2022/1193771c27/1193771c27-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 935868 MediaArchive https://lecturemedia.cern.ch/2022/1193771c27/1193771c27-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3048216 MediaArchive https://lecturemedia.cern.ch/2022/1193771c27/1193771c27-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 96362 johanna.picard@cern.ch 2022-08-24T13:38:54 2022-10-18T13:44:15 PUBLIC INDICO.1193771c27 https://videos.cern.ch/legacy/record/2837229 Indico TALK MIGRATED 2837226 20251201182424.0 eng CERN. Geneva CERN and the Environment CERN - 503/1-001 - Council Chamber 2022-10-13T14:15:00 2022-10-13T14:35:00 1193771c23 Ionising radiation impact on environment, radioactive waste 2022 2022-10-13 991 Streaming video General CERN and the Environment Restricted indico-data-managers [CERN] cern-accounts [CERN] group CDS Invenio SzGeCERN Restricted johanna.picard@cern.ch serge.claudet@cern.ch sonja.kleiner@cern.ch anna.cook@cern.ch manfred.krammer@cern.ch mar.capeans@cern.ch luca.sironi@cern.ch stefan.roesler@cern.ch christopher.hartley@cern.ch celine.ecarnot@cern.ch roxana.cristina.banica@cern.ch emeline.dolmazon@cern.ch roberto.losito@cern.ch benoit.delille@cern.ch email CDS Invenio SzGeCERN 2022-10-13T14:15:00 <!--HTML-->High-energy particles interacting with matter generate prompt ionizing radiation and produce radionuclides. All necessary measures are taken to attenuate the ionizing radiation and only penetrating particles such as muons and neutrons can partly reach the environment through access shafts or through shielding structures. Accelerator tunnels and experimental halls need to be ventilated and a fraction of the radioactivity produced in air can get into the atmosphere through ventilation stacks. Similarly, radioactive substances may be released to watercourses due to the presence of water in some areas (e.g. cooling, infiltration, leaks). The resulting radiological hazard of accelerator facilities is small. In order to control releases and demonstrate their negligible radiological impact on the environment, CERN carries out its own source-oriented environmental monitoring program as the facility operator. Furthermore, activation of facility components leads to the production of radioactive waste. Due to the size of the CERN facilities, up to a thousand of cubic meters of waste are produced annually. The tripartite agreements stipulate that its elimination must conform to national regulations and follow the most appropriate pathways, both from the technical and economical viewpoints. Whenever possible the Radiation Protection group strives free release and recycling as non-radioactive waste, hence minimizing the footprint on the radioactive waste repositories. If not feasible, the waste is preconditioned in CERN’s radioactive waste treatment center and eliminated towards France and Switzerland. During the last decade, the Radiation Protection group has successfully implemented efficient and reliable processes, such that nowadays CERN disposes of more waste than it produces. CERN aims at minimizing the radioactive waste production and this can be done both before and after activation of the components. RP calculation tools allow for selection of materials, which are less prone to activation, while CERN personnel is encouraged to identify opportunities to reuse activated components. CERN 2022 General Event TALK CERN Malacrida, Fabrice speaker CERN https://indico.cern.ch/event/1193771/contributions/5029745/ Talk details https://indico.cern.ch/event/1193771/ Event details MediaArchive /mnt/master_share/master_data/2022/1193771c23 Absolute master path MediaArchive /2022/1193771c23/1193771c23_en.vtt subtitle subtitle English MediaArchive /2022/1193771c23/1193771c23_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1193771c23/1193771c23-presenter-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1193771c23/1193771c23-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 278012 MediaArchive https://lecturemedia.cern.ch/2022/1193771c23/1193771c23-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 2804259 MediaArchive https://lecturemedia.cern.ch/2022/1193771c23/1193771c23-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 852941 MediaArchive https://lecturemedia.cern.ch/2022/1193771c23/1193771c23-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 93427 johanna.picard@cern.ch 2022-08-24T13:38:54 2022-10-19T07:50:25 PUBLIC INDICO.1193771c23 https://videos.cern.ch/legacy/record/2837226 Indico TALK MIGRATED 2837102 20251201182915.0 eng CERN. Geneva CERN and the Environment CERN - 503/1-001 - Council Chamber 2022-10-13T14:35:00 2022-10-13T14:50:00 1193771c24 Noise : CERN noise footprint and mitigation measures 2022 2022-10-13 588 Streaming video General CERN and the Environment Restricted indico-data-managers [CERN] cern-accounts [CERN] group CDS Invenio SzGeCERN Restricted anna.cook@cern.ch serge.claudet@cern.ch celine.ecarnot@cern.ch sonja.kleiner@cern.ch christopher.hartley@cern.ch roberto.losito@cern.ch luca.sironi@cern.ch manfred.krammer@cern.ch mar.capeans@cern.ch benoit.delille@cern.ch stefan.roesler@cern.ch johanna.picard@cern.ch emeline.dolmazon@cern.ch roxana.cristina.banica@cern.ch email CDS Invenio SzGeCERN 2022-10-13T14:35:00 <!--HTML-->Like other industrial plants, the infrastructure needed to operate CERN’s large accelerators emits noise, when accelerators are operational or in maintenance. The main sources of noise at CERN are cryogenic installations, transformers, compressors, pumps, cooling towers and HVAC systems. In 2019, the Laboratory adopted an environmental noise reduction policy. The corresponding implementation strategy was agreed upon with the competent local authorities. Since then, HSE is in charge of ensuring the respect of this policy for future projects and existing installations. This talk will cover the following items: - Presentation of the CERN’s footprint policy by the Executive Officer for the noise footprint policy and implementation strategy - HSE noise management service : mandate and expertise - Examples of Best Practical Means (BPM) to tackle noise emissions on site. CERN 2022 General Event TALK CERN Jimenez, Jose Miguel speaker CERN Minier, Jordan speaker CERN https://indico.cern.ch/event/1193771/contributions/5029756/ Talk details https://indico.cern.ch/event/1193771/ Event details MediaArchive /mnt/master_share/master_data/2022/1193771c24 Absolute master path MediaArchive /2022/1193771c24/1193771c24_en.vtt subtitle subtitle English MediaArchive /2022/1193771c24/1193771c24_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1193771c24/1193771c24-presenter-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1193771c24/1193771c24-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 286458 MediaArchive https://lecturemedia.cern.ch/2022/1193771c24/1193771c24-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 100483 MediaArchive https://lecturemedia.cern.ch/2022/1193771c24/1193771c24-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 2907913 MediaArchive https://lecturemedia.cern.ch/2022/1193771c24/1193771c24-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 909316 johanna.picard@cern.ch 2022-08-24T13:38:54 2022-10-17T12:57:30 PUBLIC INDICO.1193771c24 https://videos.cern.ch/legacy/record/2837102 Indico TALK MIGRATED 2837101 20251201182433.0 eng CERN. Geneva CERN and the Environment CERN - 503/1-001 - Council Chamber 2022-10-13T14:50:00 2022-10-13T15:05:00 1193771c25 Biodiversity 2022 2022-10-13 1584 Streaming video General CERN and the Environment Restricted indico-data-managers [CERN] cern-accounts [CERN] group CDS Invenio SzGeCERN Restricted anna.cook@cern.ch serge.claudet@cern.ch celine.ecarnot@cern.ch sonja.kleiner@cern.ch christopher.hartley@cern.ch roberto.losito@cern.ch luca.sironi@cern.ch manfred.krammer@cern.ch mar.capeans@cern.ch benoit.delille@cern.ch stefan.roesler@cern.ch johanna.picard@cern.ch emeline.dolmazon@cern.ch roxana.cristina.banica@cern.ch email CDS Invenio SzGeCERN 2022-10-13T14:50:00 <!--HTML-->The principles of sustainable development suppose not only a change in practices, but also a transformation of how we envisage urbanised nature. For too long humans have put constraints on Nature through their societal choices: today we have to work with her by taking care of her. It is difficult to reconcile the realities of how we use space and the necessary improvements of our existing environment in favour of biodiversity. This is the challenge for all of us, in our work and in our lives, and all CERN services are trying to meet this challenge. The green spaces and biodiversity service has implemented management methods and environmental measures in favour of biodiversity which are the subject of this presentation. CERN 2022 General Event TALK CERN Fontaine, Mathieu Emmanuel speaker CERN https://indico.cern.ch/event/1193771/contributions/5029759/ Talk details https://indico.cern.ch/event/1193771/ Event details MediaArchive /mnt/master_share/master_data/2022/1193771c25 Absolute master path MediaArchive /2022/1193771c25/1193771c25_en.vtt subtitle subtitle English MediaArchive /2022/1193771c25/1193771c25_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2022/1193771c25/1193771c25-presenter-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2022/1193771c25/1193771c25-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3350134 MediaArchive https://lecturemedia.cern.ch/2022/1193771c25/1193771c25-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 118851 MediaArchive https://lecturemedia.cern.ch/2022/1193771c25/1193771c25-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1080787 MediaArchive https://lecturemedia.cern.ch/2022/1193771c25/1193771c25-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 336780 johanna.picard@cern.ch 2022-08-24T13:38:54 2022-10-17T12:56:47 PUBLIC INDICO.1193771c25 https://videos.cern.ch/legacy/record/2837101 Indico TALK MIGRATED 2836714 SzGeCERN 20221013213225.0 DOI SISSA 10.22323/1.380.0446 oai:cds.cern.ch:2836714 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2022-10-13T04:00:14Z marcxml oai:inspirehep.net:2067103 2022-10-12T12:38:38Z Inspire 2067103 eng Kornakov, G Warsaw U. of Tech. SISSA Experiments with mid-heavy antiprotonic atoms in AE$\overline{g}$IS 2022 6 p SISSA ments which provide the most precise data on the strong interaction between protons and antiprotons and of the neutron skin of many nuclei thanks to the clean annihilation signal. In most of these experiments, the capture process of low energy antiprotons was done in a dense target leading to a significant suppression of specific transitions between deeply bound levels that are of particular interest. In particular, precise measurements of specific transitions in antiprotonic atoms with Z>2 are sparse. We propose to use the pulsed production scheme developed for antihydrogen and protonium for the formation of cold antiprotonic atoms. This technique has been recently achieved experimentally for the production of antihydrogen at AE$\overline{\rm g}$IS. The proposed experiments will have sub-ns synchronization thanks to an improved control and acquisition system. The formation in vacuum guarantees the absence of Stark mixing or annihilation from high n states and together with the sub-ns synchronization would resolve the previous experimental limitations. It will be possible to access the whole chain of the evolution of the system from its formation until annihilation with significantly improved signal-to-background ratio. CC-BY-NC-ND-4.0 SISSA https://creativecommons.org/licenses/by-nc-nd/4.0/ The author(s) 2022 SzGeCERN Nuclear Physics - Experiment ARTICLE CERN CERN AEgIS Auzins, M Latvia U. Bergmann, B Prague, Tech. U. Burian, P Prague, Tech. U. Bonomi, G Brescia U. INFN, Brescia INFN, Pavia INFN Pavia, via Bassi 6, 27100 Pavia, Italy Brusa, R S Trento U. INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Camper, A Oslo U. Caravita, R Trento U. INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Castelli, F INFN, Milan Milan U. Department of Physics "Aldo Pontremoli", University of Milano, via Celoria 16, 20133 Milano, Italy Cheinet, P LAC, Orsay Ciuryło, R Torun, Copernicus Astron. Ctr. Comparat, D LAC, Orsay Consolati, G INFN, Milan Milan Polytechnic Department of Aerospace Science and Technology, Politecnico di Milano, via La Masa 34, 20156 Milano, Italy Doser, M CERN Gjersdal, H Oslo U. Glöggler, L T CERN Graczykowsk, Ł INFN, Milan Warsaw U. of Tech. Warsaw University of Technology, Faculty of Physics, ul. Koszykowa 75, 00-662, Warsaw, Poland Guatieri, F Trento U. INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Haider, S CERN Huck, S CERN Janik, M Warsaw U. of Tech. Kasprowicz, G Warsaw U. of Tech. Khatri, G Oslo U. CERN Physics Department, CERN, 1211 Geneva 23, Switzerland Kłosowski, Ł Torun, Copernicus Astron. Ctr. Lappo, L Warsaw U. of Tech. Malbrunot, C CERN Stefan Meyer Inst. Subatomare Phys. Stefan Meyer Institute for Subatomic Physics, Austrian Academy of Sciences, Boltzmanngasse 3, 1090 Vienna, Austria Mariazzi, S INFN, Trento Trento U. Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy Nebbia, G INFN, Padua Nowak, L CERN Nowicka, D Warsaw U. of Tech. Oswald, E CERN Pagano, D Brescia U. INFN, Brescia INFN, Pavia INFN Pavia, via Bassi 6, 27100 Pavia, Italy Penasa, L Trento U. INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Petracek, V Prague, Tech. U. Piwiński, M Torun, Copernicus Astron. Ctr. Pospisil, S Prague, Tech. U. Povolo, L INFN, Trento Trento U. Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy Prelz, F INFN, Milan Rangwala, S Raman Research Inst., Bangalore Rienäcker, B CERN Rotondi, A INFN, Pavia Pavia U. Department of Physics, University of Pavia, via Bassi 6, 27100 Pavia, Italy Røhne, O M Oslo U. Sandaker, H Oslo U. Stekl, I Prague, Tech. U. Tefelski, D Warsaw U. of Tech. Tietje, I C CERN Volponi, M Trento U. INFN, Trento CERN TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Wolz, T CERN Zawada, M Torun, Copernicus Astron. Ctr. Zimmer, C Oslo U. Milan Polytechnic CERN Department of Aerospace Science and Technology, Politecnico di Milano, via La Masa 34, 20156 Milano, Italy Zurlo, N INFN, Pavia Brescia U. INFN, Brescia Department of Civil, Environmental, Architectural Engineering and Mathematics, University of Brescia, via Branze 43, 25123 Brescia, Italy AEgIS Collaboration 446 C21-08-30.2 2022 PoS PANIC2021 2400192 887525 http://cds.cern.ch/record/2836714/files/document.pdf Fulltext 13 2806946 lisbon20210905 446 ARTICLE ConferencePaper 2836168 SzGeCERN 20221010144139.0 DOI IEEE 10.1109/ICDL.2019.8796780 oai:cds.cern.ch:2836168 cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:1767028 2022-10-07T12:30:21Z 2022-10-08T04:00:04Z marcxml Inspire 1767028 eng Stadlbauer, Tobias CERN IEEE SF6 Gas Replacement in Pulsed High Voltage Coaxial Cables 2019 5 p IEEE Several fast pulsed high voltage kicker systems at CERN use coaxial cables with SF$_6$ gas as dielectric. Leak detection systems are installed and for interventions, the gas is recuperated and re-circulated, reducing emissions to a minimum. Nevertheless due to the high global warming potential of SF$_6$ gas and the efforts of the European Union and CERN to reduce fluorinated greenhouse gas emissions to a minimum, a replacement strategy for the SF$_6$ gas filled coaxial high voltage cables is being developed. New pulse generator technologies as well as different SF$_6$ gas substitutes and also new conventional PE insulated cables are being studied. This paper gives an overview of the studies carried out to replace these cables. A comparison of possible alternatives with liquid, solid and gas dielectrics is given. The properties of the cables with alternative dielectrics are outlined, by either measurement, simulation or calculation. Especially the important parameters for kicker systems are evaluated and compared: breakdown voltage, low attenuation and low impedance change. Possible dimensions and tolerances are given, the expected costs and environmental impact are outlined. In addition an overview of different dielectric liquids used in the complete pulse generator as well as the operational experience, performance and limitations is given. IEEE 2019 SzGeCERN Accelerators and Storage Rings SzGeCERN Detectors and Experimental Techniques author air pollution control author coaxial cables author dielectric liquids author global warming author high-voltage techniques author leak detection author power cable insulation author pulse generators author SF6 insulation author CERN author fluorinated greenhouse gas emissions author breakdown voltage author pulsed high voltage coaxial cables author leak detection systems author pulsed high voltage kicker systems author European Union author pulse generator technologies author PE insulated cables author environmental impact author SF6 author SF6 gas replacement author fast pulsed systems author high voltage author low attenuation ARTICLE CERN Kramer, Thomas CERN Kontelis, Dimitrios CERN Ducimetière, Laurent CERN Sermeus, Luc CERN Woog, David CERN C19-06-23.3 2019 13 2836076 rome20190623 ARTICLE ConferencePaper 2836165 SzGeCERN 20221008235820.0 DOI JACoW 10.18429/JACoW-PCaPAC2018-FRCC3 oai:cds.cern.ch:2836165 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2022-10-08T04:00:04Z marcxml oai:inspirehep.net:1736433 2022-10-07T13:53:59Z Inspire 1736433 eng Ledeul, Adrien JACoW-00062475 adrien.ledeul@cern.ch CERN JACoW CERN Supervision, Control and Data Acquisition System for Radiation and Environmental Protection 2019 5 p JACoW The CERN Health, Safety and Environment Unit is mandated to provide a Radiation and Environment Supervision, Control and Data Acquisition system for all CERN accelerators, experiments as well as the environment. The operation and maintenance of the previous CERN radiation and environment supervisory systems showed some limitations in terms of flexibility and scalability. In order to face the increasing demand for radiation protection and continuously assess both conventional and radiological impacts on the environment, CERN developed and deployed a new supervisory system, called REMUS - Radiation and Environment Monitoring Unified Supervision. REMUS design and development focused on these desired features. REMUS interfaces with 75 device types, providing about 3,000 measurement channels (approximately 600, 000 tags) at the time of writing. This paper describes the architecture of the system, as well as the innovative design that was adopted in order to face the challenges of heterogeneous equipment interfacing, diversity of end users and continuous operation. CC-BY-3.0 JACoW http://creativecommons.org/licenses/by/3.0/ 2018 SzGeCERN Accelerators and Storage Rings JACoW radiation JACoW monitoring JACoW instrumentation JACoW interface JACoW controls ARTICLE CERN Savulescu, Alexandru JACoW-00108300 alexandru.savulescu@cern.ch CERN Segura, Gustavo JACoW-00004912 gustavo.segura@cern.ch CERN Styczen, Bartlomiej JACoW-00078748 bartlomiej.styczen@cern.ch CERN Vazquez Rivera, Daniel JACoW-00080168 daniel.vasques.ribeira@cern.ch CERN 1735908 FRCC3 PCaPAC2018 C18-10-16 2019 2399553 1452941 http://cds.cern.ch/record/2836165/files/frcc3.pdf 13 2644922 hsinchu20181016 FRCC3 ARTICLE ConferencePaper 2835872 SzGeCERN 20221006233120.0 DOI Elsevier B.V. 10.1016/j.nima.2022.167045 publication oai:cds.cern.ch:2835872 cerncds:CERN https://inspirehep.net/api/oai2d 2022-10-06T04:00:09Z marcxml oai:inspirehep.net:2145701 2022-10-05T13:17:56Z Inspire 2145701 eng Guida, R CERN Elsevier B.V. Studies on alternative eco-friendly gas mixtures and development of gas recuperation plant for RPC detectors 2022 4 p Elsevier B.V. Resistive Plate Chambers (RPCs) are widely used in particle physics applications, including the CERN LHC experiments. RPCs are often operated with a gas mixture containing C$_{2}$H$_{2}$F$_{4}$ and SF$_{6}$, both greenhouse gases (GHGs) with a high global warming potential (GWP). The reduction of GHG emissions and the search for eco-friendly alternatives are crucial for use of RPCs in future since F-gases are being phased out in Europe. The best way to immediately reduce GHG emissions is to use gas recirculation systems. In parallel, CERN gas team is developing a new recuperation system specifically conceived for  C$_{2}$H$_{2}$F$_{4}$ and SF$_{6}$, where good performance has been achieved. For long-term operation, low GWP gases are studied. Hydrofluoroolefins (HFO), chlorofluorocarbons and 3M Novec are identified as possible replacements for  C$_{2}$H$_{2}$F$_{4}$ and SF$_{6}$. Several eco-friendly gas mixtures were investigated on 2 mm gap RPCs, by measuring detector performance, i.e. efficiency, streamer probability, induced charge, cluster size and time resolution. Studies were done in laboratory and at the CERN Gamma Irradiation Facility (GIF++), which provides a muon beam combined with a gamma source. Comparative analyses were performed between RPC operated with standard mixture and mixtures containing HFO with the addition of He or CO$_{2}$ or mixtures with alternatives to SF$_{6}$. Elsevier B.V. publication 2022 SzGeCERN Detectors and Experimental Techniques Elsevier B.V. Resistive Plate Chamber Elsevier B.V. Gas systems Elsevier B.V. Greenhouse gases Elsevier B.V. HFO Elsevier B.V. S Elsevier B.V. Environmentally friendly gas mixtures ARTICLE CERN Mandelli, B beatrice.mandelli@cern.ch CERN Rigoletti, G CERN 167045 publication 2022 Nucl. Instrum. Methods Phys. Res., A 1039 C22-02-21 13 2801323 online20220221 167045 ARTICLE ConferencePaper 2842570 SzGeCERN 20230331113113.0 DOI 10.1039/d2ea00007e oai:cds.cern.ch:2842570 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2183068 2022-11-29T14:31:06Z 2022-11-30T09:49:35Z marcxml Inspire 2183068 eng Marten, Ruby PSI, Villigen submitter Survival of newly formed particles in haze conditions 2022 9 p submitter Intense new particle formation events are regularly observed under highly polluted conditions, despite the high loss rates of nucleated clusters. Higher than expected cluster survival probability implies either ineffective scavenging by pre-existing particles or missing growth mechanisms. Here we present experiments performed in the CLOUD chamber at CERN showing particle formation from a mixture of anthropogenic vapours, under condensation sinks typical of haze conditions, up to 0.1 s$^{-1}$ . We find that new particle formation rates substantially decrease at higher concentrations of pre-existing particles, demonstrating experimentally for the first time that molecular clusters are efficiently scavenged by larger sized particles. Additionally, we demonstrate that in the presence of supersaturated gas-phase nitric acid (HNO$_3$) and ammonia (NH$_3$), freshly nucleated particles can grow extremely rapidly, maintaining a high particle number concentration, even in the presence of a high condensation sink. Such high growth rates may explain the high survival probability of freshly formed particles under haze conditions. We identify under what typical urban conditions HNO$_3$ and NH$_3$ can be expected to contribute to particle survival during haze. publication CC-BY-NC-3.0 Other http://creativecommons.org/licenses/by-nc/3.0/ The Author(s) 2022 INSPIRE Astrophysics and Astronomy ARTICLE CERN CERN PS CLOUD PS210 Xiao, Mao PSI, Villigen Rorup, Birte Helsinki U. Wang, Mingyi Carnegie Mellon U. Kong, Weimeng Caltech He, Xu-Cheng Helsinki U. Stolzenburg, Dominik Helsinki U. Pfeifer, Joschka CERN Frankfurt U., FIAS Frankfurt U. Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany Marie, Guillaume Frankfurt U., FIAS Frankfurt U. Wang, Dongyu S PSI, Villigen Scholz, Wiebke Innsbruck U. Baccarini, Andrea PSI, Villigen Ecole Polytechnique, Lausanne Extreme Environments Research Laboratory (EERL), Ecole Polytechnique F ´ édérale de Lausanne, Sion, CH, Switzerland Lee, Chuan Ping PSI, Villigen Amorim, Antonio Lisbon, CENTRA Baalbaki, Rima Helsinki U. Bell, David M PSI, Villigen Bertozzi, Barbara Karlsruhe, Forschungszentrum Caudillo, Lucia Frankfurt U., FIAS Frankfurt U. Chu, Biwu Helsinki U. Dada, Lubna PSI, Villigen Duplissy, Jonathan Caltech Helsinki U. Jyvaskyla U. Helsinki Institute of Physics (HIP)/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland Finkenzeller, Henning Colorado u. Carracedo, Loic Gonzalez Vienna U. Granzin, Manuel Frankfurt U., FIAS Frankfurt U. Hansel, Armin Innsbruck U. Heinritzi, Martin Frankfurt U., FIAS Frankfurt U. Hofbauer, Victoria Carnegie Mellon U. Kemppainen, Deniz Helsinki U. Kurten, Andreas Frankfurt U., FIAS Frankfurt U. Lampimaki, Markus Helsinki U. Lehtipalo, Katrianne Helsinki U. Finnish Meteorological Inst. Finnish Meteorological Institute, Helsinki, Finland Makhmutov, Vladimir Lebedev Inst. Manninen, Hanna E CERN Mentler, Bernhard Innsbruck U. Petaja, Tuukka Helsinki U. Philippov, Maxim Lebedev Inst. Shen, Jiali Helsinki U. Simon, Mario Frankfurt U., FIAS Frankfurt U. Stozhkov, Yuri Lebedev Inst. Tome, Antonio Beira Interior U., Covilha Wagner, Andrea C Frankfurt U., FIAS Frankfurt U. Wang, Yonghong Helsinki U. Weber, Stefan K CERN Wu, Yusheng Helsinki U. Zauner-Wieczorek, Marcel Frankfurt U., FIAS Frankfurt U. Curtius, Joachim Frankfurt U., FIAS Frankfurt U. Kulmala, Markku Helsinki U. Mohler, Ottmar Karlsruhe, Forschungszentrum Volkamer, Rainer Colorado u. Winkler, Paul M Vienna U. Worsnop, Douglas R New England Nucl. Dommen, Josef PSI, Villigen Flagan, Richard C Caltech Kirkby, Jasper CERN Frankfurt U., FIAS Frankfurt U. Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany Donahue, Neil M Carnegie Mellon U. Lamkaddam, Houssni PSI, Villigen Baltensperger, Urs PSI, Villigen Haddad, Imad El PSI, Villigen 491-499 3 Environmental Science: Atmospheres 2 2022 2410435 1849715 http://cds.cern.ch/record/2842570/files/d2ea00007e.pdf Fulltext 13 ARTICLE 2842555 SzGeCERN 20230331113154.0 DOI 10.1039/d1ea00050k oai:cds.cern.ch:2842555 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2183067 2022-11-29T15:01:06Z 2022-11-30T09:49:31Z marcxml Inspire 2183067 eng Surdu, Mihnea PSI, Villigen submitter Molecular characterization of ultrafine particles using extractive electrospray time-of-flight mass spectrometry 2021 15 p submitter Aerosol particles negatively affect human health while also having climatic relevance due to, for example, their ability to act as cloud condensation nuclei. Ultrafine particles (diameter D$_p$ < 100 nm) typically comprise the largest fraction of the total number concentration, however, their chemical characterization is difficult because of their low mass. Using an extractive electrospray time-of-flight mass spectrometer (EESI-TOF), we characterize the molecular composition of freshly nucleated particles from naphthalene and b-caryophyllene oxidation products at the CLOUD chamber at CERN. We perform a detailed intercomparison of the organic aerosol chemical composition measured by the EESI-TOF and an iodide adduct chemical ionization mass spectrometer equipped with a filter inlet for gases and aerosols (FIGAERO-I-CIMS). We also use an aerosol growth model based on the condensation of organic vapors to show that the chemical composition measured by the EESI-TOF is consistent with the expected condensed oxidation products. This agreement could be further improved by constraining the EESI-TOF compound-specific sensitivity or considering condensed-phase processes. Our results show that the EESI-TOF can obtain the chemical composition of particles as small as 20 nm in diameter with mass loadings as low as hundreds of ng m$^{-3}$ in real time. This was until now difficult to achieve, as other online instruments are often limited by size cutoffs, ionization/thermal fragmentation and/or semicontinuous sampling. Using real-time simultaneous gas- and particle-phase data, we discuss the condensation of naphthalene oxidation products on a molecular level. publication CC-BY-NC-3.0 Other http://creativecommons.org/licenses/by-nc/3.0/ The Author(s) 2021 INSPIRE Astrophysics and Astronomy ARTICLE CERN CERN PS CLOUD Pospisilova, Veronika PSI, Villigen Xiao, Mao PSI, Villigen Wang, Mingyi Carnegie Mellon U. Mentler, Bernhard Innsbruck U. Simon, Mario Frankfurt U., FIAS Frankfurt U. Stolzenburg, Dominik Vienna U., Dept. Math. Helsinki U. Institute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland Hoyle, Christopher R PSI, Villigen Zurich, ETH Institute for Atmospheric and Climate Science, ETH Zurich, 8006 Zurich, Switzerland Bell, David M PSI, Villigen Lee, Chuan Ping PSI, Villigen Lamkaddam, Houssni PSI, Villigen Lopez-Hilfiker, Felipe PSI, Villigen Ahonen, Lauri R Helsinki U. Amorim, Antonio Lisbon, CENTRA Baccarini, Andrea PSI, Villigen Ecole Polytechnique, Lausanne School of Architecture civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland Chen, Dexian Carnegie Mellon U. Dada, Lubna PSI, Villigen Helsinki U. Institute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland Duplissy, Jonathan Helsinki U. Helsinki Inst. of Phys. Helsinki Institute of Physics, University of Helsinki, 00014 Helsinki, Finland Finkenzeller, Henning Colorado U. He, Xu-Cheng Helsinki U. Hofbauer, Victoria Carnegie Mellon U. Kim, Changhyuk Caltech Pusan Natl. U. School of Civil and Environmental Engineering, Pusan National University busan 46241, Republic of Korea Kürten, Andreas Frankfurt U., FIAS Frankfurt U. Kvashnin, Aleksandr Lebedev Inst. Lehtipalo, Katrianne Helsinki U. Helsinki Inst. of Phys. Finnish Meteorological Institute, 00560 Helsinki, Finland Makhmutov, Vladimir Lebedev Inst. Molteni, Ugo PSI, Villigen Nie, Wei Nanjing U. (main) Onnela, Antti CERN Petäjä, Tuukka Helsinki U. Quéléver, Lauriane L J Helsinki U. Tauber, Christian Vienna U., Dept. Math. Tomé, António Beira Interior U., Covilha Wagner, Robert Helsinki U. Yan, Chao Helsinki U. Prevot, Andre S H PSI, Villigen Dommen, Josef PSI, Villigen Donahue, Neil M Carnegie Mellon U. Hansel, Armin Innsbruck U. Curtius, Joachim Frankfurt U., FIAS Frankfurt U. Winkler, Paul M Vienna U., Dept. Math. Kulmala, Markku Helsinki U. Helsinki Inst. of Phys. Helsinki Institute of Physics, University of Helsinki, 00014 Helsinki, Finland Volkamer, Rainer Colorado U. Flagan, Richard C Caltech Kirkby, Jasper Frankfurt U., FIAS Frankfurt U. CERN CERN, 1211 Geneva, Switzerland Worsnop, Douglas R Helsinki U. New England Nucl. Aerodyne Research, 01821 Billerica, MA, USA Slowik, Jay G PSI, Villigen Wang, Dongyu S PSI, Villigen Baltensperger, Urs PSI, Villigen el Haddad, Imad el PSI, Villigen 434-448 6 Environmental Science: Atmospheres 1 2021 2410385 1366505 http://cds.cern.ch/record/2842555/files/d1ea00050k.pdf Fulltext 13 ARTICLE 2842105 SzGeCERN 20221125154016.0 Verdens største maskin skal bli mer miljøvennlig PRESS CUTTING 17 CERN Depot 3, bldg. 2 (DE3) PRESSCUT-H-2021-377 25 Nov 2021 Forskning 2021 CUTTING 2021 paper SzGeCERN The world's largest machine will become more environmentally friendly Spilde, Ingrid h 202247 PRESSCUT-H-2021-377 nor 2841939 20221124232131.0 oai:cds.cern.ch:2841939 cerncds:FULLTEXT CERN-ACC-NOTE-2022-0029 eng Morales Valenzuela, Rodrigo Alfonso AUTHOR|(CDS)2101183 AUTHOR|(SzGeCERN)783711 CERN rodrigo.alfonso.morales.valenzuela@cern.ch BIM Technology applied to CV Engineering 2022 CERN Geneva 11 Oct 2022 5 p The world of engineering is facing many profound changes today. The acceleration of the technological sphere, the unprecedented evolution of digital technology, the climate and environmental emergency, inevita-bly push us to rethink all or part of our production and construction methods. BIM engineering is an integral part of this evolution, of this digital transformation. From the digital twin to its most complex applications, through a concrete example of BIM project, we will see together how, from the designing phase to the operating phase, this technology is articulated, what its real advances are, its advantages, its limits but also its potential evolutions, everything that in a certain way draws and already prefigures the engineering of today and tomorrow. CERN EDS UNCL SzGeCERN Engineering SzGeCERN Accelerators and Storage Rings Computing tool CERN Control CERN CERN INTNOTE PUBLATS ATS CERN. Geneva. ATS Department 2409608 164233 http://cds.cern.ch/record/2841939/files/CERN-ACC-NOTE-2022-0029.pdf sonia.escaffre@cern.ch n 202247 12 PUBLIC INTNOTEATSPUBL NOTE 2841339 20250120183502.0 oai:cds.cern.ch:2841339 cerncds:FULLTEXT CERN-STUDENTS-Note-2022-218 eng Novotny, Patrik AUTHOR|(CDS)2319837 AUTHOR|(SzGeCERN)830811 Czech Academy of Sciences (CZ) patrik.novotny@cern.ch Environmental monitoring system for silicon detector testing and beam telescope operation 2022 CERN Geneva 18 Nov 2022 This report discusses the motivation for, preparation and final implementation of a monitoring system for CLICdp Timepix3 beam telescope used to test small semiconductor devices at the CERN SPS North Area test beam facility. The final hardware setup is based on an arbitrary number of Raspberry Pi’s that read out the system’s sensors and serve as webservers passing on the acquired data for further analysis and visualization. The processed data is stored in an SQL database and displayed in the Grafana GUI run as an instance under Platform-as-a-Service. In its current configuration the system processes measurements of temperature, humidity and airborne particulates. It also collects and displays state variables related to the operation of CLICdp Timepix3 beam telescope. CERN EDS SzGeCERN Particle Physics - Experiment CERN INTNOTE PUBLEP EP CERN. Geneva. EP Department http://cds.cern.ch/record/2841339/files/final_report patrik.pdf Access to fulltext 2408008 2028011 hannah.marim.luther@cern.ch Peter Svihra, P.S. Justus Braach, J.B. n 202246 12 PUBLIC https://repository.cern/legacy/record/2841339 INTNOTEEPPUBL NOTE MIGRATED 2844858 SzGeCERN 20221220113254.0 DOI JACOW 10.18429/JACoW-LINAC2022-WE2AA02 oai:cds.cern.ch:2844858 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2174983 2022-12-16T10:12:22Z 2022-12-18T05:00:03Z marcxml Inspire 2174983 eng Apsimon, Robert JACoW-00035939 r.apsimon@lancaster.ac.uk Lancaster U. (main) Cockcroft Inst. Accel. Sci. Tech. Cockcroft Institute, Daresbury Laboratory, Warrington, WA4 4AD, UK JACOW Electron Beam Based Leather Tanning 2022 5 p JACOW Tanning of leather for clothing, shoes, and handbags uses potentially harmful chemicals that often run off into local water supplies or require a large carbon footprint to safely recover these pollutants. In regions of the world with significant leather production, this can lead to a significant environmental impact. However recent studies have suggested that leather can instead be tanned using a combination of electron beams in a process inspired by the industrial crosslinking of polymers, to drastically reduce the quantity of wastewater produced in the process; thereby resulting in a reduced environmental impact as well as potential cost savings on wastewater treatment. In this talk, initial studies of leather tanning will be presented as well as accelerator designs for use in leather irradiation. publication CC-BY-4.0 JACOW https://creativecommons.org/licenses/by/4.0 publication 2021 SzGeCERN Accelerators and Storage Rings author electron author simulation author site author radiation author FEL ARTICLE CERN Dewhurst, Kay JACoW-00094617 kay.dewhurst@cern.ch Lancaster U. (main) Cockcroft Inst. Accel. Sci. Tech. CERN Cockcroft Institute, Daresbury Laboratory, Warrington, WA4 4AD, UK Setiniyaz, Sadiq JACoW-00054853 s.saitiniyazi@lancaster.ac.uk Lancaster U. (main) Cockcroft Inst. Accel. Sci. Tech. Cockcroft Institute, Daresbury Laboratory, Warrington, WA4 4AD, UK Seviour, Rebecca JACoW-00022456 r.seviour@hud.ac.uk Huddersfield U. Turner, Daniel JACoW-00115328 daniel.turner@cockcroft.ac.uk Lancaster U. (main) Cockcroft Inst. Accel. Sci. Tech. Cockcroft Institute, Daresbury Laboratory, Warrington, WA4 4AD, UK Wise, William JACoW-00141586 will.wise@northampton.ac.uk Unlisted, UK 645-649 JACoW LINAC LINAC2022 2022 C22-08-28.3 2022 2415103 1016077 http://cds.cern.ch/record/2844858/files/document.pdf Fulltext 13 2839863 645-649 liverpool20220828 ARTICLE ConferencePaper 2843363 20250515232410.0 oai:cds.cern.ch:2843363 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN INSPIRE 2785801 CERN-THESIS-2022-245 eng AUTHOR|(CDS)2307629 AUTHOR|(SzGeCERN)828728 Edwards, Amelia Veronica amelia.edwards@cern.ch Lancaster University (GB) X-Band LLRF Developments for High Power CLIC Test Stands and Waveguide Interferometry for Phase Stabilisation 308 p Presented 10 Jun 2022 PhD Lancaster University 2022-04-09 This thesis describes the upgrade of the first high power X-band RF test for high gradient accelerating structures at CERN, as required for the e+ e- collider research program; Compact Linear Collider, CLIC. Significant improvements to the control system and operation of the first test stand, Xbox-1, are implemented. The design and commissioning of the new Low Level Radio Frequency, LLRF, system is described in detail. The upgrade also en- compasses software, interlock systems, timing, safety and control. The new LLRF requires an up-convertor to convert an input signal at 187.4 MHz to 11.806 GHz. The most common method is a phase locked loop, PLL, an alternative method was envi- sioned which uses single side-band up-convertor. This necessitated the design and manufacture of a custom cavity filter. The up-convertor and PLL are compared and both are implemented in the new LLRF. The new LLRF system is implemented at Xbox1 and used to RF condition a 50 MW CPI klystron, the final output power was 45 MW for a 50 ns RF pulse length. The phase and amplitude of the LLRF, TWT and klystron are characterised with both the PLL and up-convertor. The klystron phase stability was studied using a sensitivity analysis. The waveguide network between the klystron and the accelerating structures is approximately 30 m. This network is subject to environmental phase changes which affect the phase stability of the RF arriving at the structures. A single path inteferom- eter was designed which will allow a phase measurement pulse at a secondary fre- quency to be injected into the waveguide network interleaved with klystron pulses. The interferometer is commissioned in the lab and low power measurements val- idate its operation. The system is then integrated into the high power network at Xbox1 and used to measure phase shifts in the waveguide network which are corre- lated with temperature. CERN Doctoral Student Program CERN EDS SzGeCERN Engineering SzGeCERN Accelerators and Storage Rings CERN THESIS CLIC Not applicable Not applicable CTF3 CLIC Catalan Lasheras, N dir. CERN Dexter, A dir. Lancaster University SY 2412876 7563139 http://cds.cern.ch/record/2843363/files/CERN-THESIS-2022-245.pdf amelia.edwards@cern.ch n 202249 a2022 14 PUBLIC https://repository.cern/legacy/record/2843363 THESIS MIGRATED 2843211 20221206214648.0 oai:cds.cern.ch:2843211 cerncds:FULLTEXT CERN-ACC-NOTE-2022-0068 eng Kiourkos, Anargyros AUTHOR|(CDS)2084873 AUTHOR|(SzGeCERN)655485 CERN anargyros.kiourkos@cern.ch Web Energy an Application for Energy Management at CERN 2022 CERN Geneva 11 Oct 2022 4 p Reliable monitoring of the electricity consumption is important for both environmental and financial reasons. Having an accurate system that monitors and forecasts energy consumption, can identify areas of improvement to achieve better energy efficiency and make informed decisions on energy management. Web Energy is a web application developed at CERN and is used by the energy management team to monitor energy consumption and generate forecasts based on the accelerator schedules. Using various visualizations and reports, it allows the energy management team to identify deviations from the forecasted consumption and take corrective action. In the current challenging macroeconomic environment, it helps with managing the electricity contract, and the findings from Web Energy are discussed regularly at the Energy Management Panel. At the same time the public dashboards of the application raise the awareness of the users with regards to their energy consumption. CERN EDS UNCL SzGeCERN Engineering SzGeCERN Accelerators and Storage Rings Technology CERN Innovation CERN CERN INTNOTE PUBLATS ATS CERN. Geneva. ATS Department 2412164 127395 http://cds.cern.ch/record/2843211/files/CERN-ACC-NOTE-2022-0068.pdf sonia.escaffre@cern.ch n 202249 12 PUBLIC INTNOTEATSPUBL NOTE 2843205 20221206214648.0 oai:cds.cern.ch:2843205 cerncds:FULLTEXT CERN-ACC-NOTE-2022-0063 eng Latif, Nauman AUTHOR|(CDS)2280204 AUTHOR|(SzGeCERN)824157 CERN nauman.latif@cern.ch Motorsense Project with ABB 2022 CERN Geneva 11 Oct 2022 7 p To make operation of the large-scale facilities more sustainable, energy consumption should be reduced by using more efficient, reliable and environmentally friendly equipment and processes. CERN, in collaboration with ABB, is undertaking the motorSENSE Project which aims at assessing and improving the energy efficiency and reliability of the cooling and ventilation infrastructure of large-scale research facilities through a case study of the EN-CV infrastructure. The major goals of this project are threefold: 1) Creating a roadmap with the aim of achieving a 10-15% overall energy saving in the EN-CV infrastructure. 2) Creating and validating a digital twin of the EN-CV infrastructure by enabling online diagnostics and predictive maintenance. 3) Publishing the conclusions and learnings from the case study to inspire industries and large-scale research facilities around the world to become more sustainable and reliable. After an introduction to the project, this paper will detail the different project phases and will give a progress status report. CERN EDS UNCL SzGeCERN Engineering SzGeCERN Accelerators and Storage Rings Safety CERN Environment CERN Energy CERN CERN INTNOTE PUBLATS ATS CERN. Geneva. ATS Department 2412156 466986 http://cds.cern.ch/record/2843205/files/CERN-ACC-NOTE-2022-0063.pdf sonia.escaffre@cern.ch n 202249 12 PUBLIC INTNOTEATSPUBL NOTE 2843196 20221206214644.0 oai:cds.cern.ch:2843196 cerncds:FULLTEXT CERN-ACC-NOTE-2022-0061 eng Hanf, Pierre AUTHOR|(CDS)2625194 AUTHOR|(SzGeCERN)831457 CERN pierre.hanf@cern.ch R744 Primary Ultra-Low temperature Project for ATLAS & CMS Detectors Phase-2 Cooling Upgrade 2022 CERN Geneva 11 Oct 2022 5 p In 2018, the CERN, ATLAS and CMS experiments decided that the cooling systems for the thermal management of the future phase-II silicon detectors will share the same design entirely based on CO2 refrigeration technology. The cooling systems will be based on CO2 vapour compression booster, composed of a two compressor stages with transcritical R744 equipment and of a low-temperature secondary CO2 pumped loop. This presentation focuses on the solution adopted for the R744 Primary part led by the EN-CV group while the secondary CO2 pumped loop being managed by the EP-DT group. It also introduces the project’s roadmap, describing the key milestones and its technical, safety and regulatory challenges with regards to the use of this natural and environmentally friendly refrigerant. CERN EDS UNCL SzGeCERN Engineering SzGeCERN Accelerators and Storage Rings Safety CERN Environment CERN Energy CERN CERN INTNOTE PUBLATS Barroca, Pierre AUTHOR|(CDS)2221703 AUTHOR|(SzGeCERN)814684 Norwegian University of Science and Technology (NTNU) (NO) pierre.barroca@cern.ch Kuczynski, Kacper AUTHOR|(CDS)2748606 AUTHOR|(SzGeCERN)850460 CERN kacper.kajetan.kuczynski@cern.ch Mondon, Pierre AUTHOR|(CDS)2308658 AUTHOR|(SzGeCERN)783047 CERN pierre.mondon@cern.ch Masrie, Sabri AUTHOR|(CDS)2067467 AUTHOR|(SzGeCERN)599120 CERN Sabri.Masrie@cern.ch Crespo-Lopez, Olivier AUTHOR|(CDS)2070110 AUTHOR|(SzGeCERN)646339 CERN Olivier.Crespo-Lopez@cern.ch Bozzi, Roberto Ales AUTHOR|(CDS)2084979 AUTHOR|(SzGeCERN)739164 CERN roberto.ales.bozzi@cern.ch Febvre, Damien Romaric AUTHOR|(CDS)2098584 AUTHOR|(SzGeCERN)768982 CERN damien.febvre@cern.ch Gain, Dany AUTHOR|(CDS)2092984 AUTHOR|(SzGeCERN)724353 CERN dany.gain@cern.ch ATS CERN. Geneva. ATS Department 2412048 185911 http://cds.cern.ch/record/2843196/files/CERN-ACC-NOTE-2022-0061.pdf sonia.escaffre@cern.ch n 202249 12 PUBLIC INTNOTEATSPUBL NOTE 2843193 SzGeCERN 20221206154617.0 PRESS CUTTING 17 CERN Depot 3, bldg. 2 (DE3) PRESSCUT-H-2021-395 2 Dec 2021 Le Pays Gessien 2021 CUTTING Le CERN publie son deuxième rapport sur l’environnement sur l’environnement 2021 paper SzGeCERN CERN publishes its second environmental report on the environment h 202249 PRESSCUT-H-2021-395 fre 2843173 SzGeCERN 20221206141600.0 CERN unveils plan to reduce its environmental footprint PRESS CUTTING 17 CERN Depot 3, bldg. 2 (DE3) PRESSCUT-H-2021-391 30 Nov 2021 Science Business 2021 CUTTING 2021 paper SzGeCERN h 202249 PRESSCUT-H-2021-391 eng 2843158 20221206214643.0 oai:cds.cern.ch:2843158 cerncds:FULLTEXT CERN-ACC-NOTE-2022-0054 eng Petrika, Gabor AUTHOR|(CDS)2256256 AUTHOR|(SzGeCERN)766210 CERN gabor.petrika@cern.ch CERN EN-CV Consolidation Efforts 2022 CERN Geneva 11 Oct 2022 5 p The state of CERN’s technical infrastructure for cooling and ventilation presents a mixed picture, due to the progressive and continuous development of the Organization’s scientific facilities over the past 60 years. Several EN-CV installations, among them critical ones that are essential for the operation of the accelerator chain, have been in service for more than 30 years and their consolidation and upgrade are overdue. This paper describes methodology, scope and timeframe of the progressive and substantial consolidation program managed by EN-CV to improve the state of the installations under the group’s responsibility. Reliability and serviceability objectives are under-pinned by safety (radiation, fire and electrical), energy efficiency and various other safety and environmental aspects that are equally prioritised for these activities. Considering that a consolidated infrastructure shall be upgraded with additional functionalities to fulfil in-creased user requirements, EN-CV consolidations are significantly more than refurbishments and are essential to ensure reliable, safe, and sustainable operation of CERN’s scientific facilities while managing existing infrastructure dependencies. CERN EDS UNCL SzGeCERN Engineering SzGeCERN Accelerators and Storage Rings Projects CERN CERN INTNOTE PUBLATS ATS CERN. Geneva. ATS Department 2411997 42803 http://cds.cern.ch/record/2843158/files/CERN-ACC-NOTE-2022-0054.pdf sonia.escaffre@cern.ch n 202249 12 PUBLIC INTNOTEATSPUBL NOTE 2842871 SzGeCERN 20221205114339.0 DOI Elsevier B.V. 10.1016/j.nima.2022.167754 publication oai:cds.cern.ch:2842871 cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2183490 2022-12-01T13:54:13Z 2022-12-02T05:00:05Z marcxml Inspire 2183490 eng Bossini, E Pisa U. INFN, Pisa INFN, Sezione di Pisa, Largo Bruno Pontecorvo 3, 56127 Pisa, Italy Elsevier B.V. Studies on new Eco-gas mixtures for Extreme Energy Events Project 2023 3 p Elsevier B.V. The Extreme Energy Events (EEE) experiment, a joint project of the Centro Fermi and INFN Italian national research institutes, has a dual purpose: a scientific research program for measurements of the cosmic rays flux at ground level and an intense outreach and educational program with an active contribution of students and teachers in the construction and operation of the detectors in High Schools. The network counts 60 tracking detectors, each made by three Multigap Resistive Plate Chambers (MRPC), operated so far with a gas mixture composed by 98% C$_2$H$_2$F$_4$ and 2% SF$_6$. Given its high Global Warming Potential (GWP), the collaboration, since few years, started a R&D; on alternative mixtures environmentally sustainable. Latest results on a C$_3$H$_2$F$_4$ + He eco-friendly mixture are here presented. publication © 2022 Published by Elsevier B.V. 2022 SzGeCERN Detectors and Experimental Techniques Elsevier B.V. Gaseous detector Elsevier B.V. Eco-gas mixtures Elsevier B.V. Comic-ray physics ARTICLE CERN EEE Abbrescia, M Bari Polytechnic INFN, Bari Bari U. INFN, Sezione di Bari, Via Orabona 4, 70126 Bari, Italy Avanzini, C INFN, Pisa Pisa U. Dipartimento di Fisica, Università di Pisa, Largo Bruno Pontecorvo 3, 56127 Pisa, Italy Baldini, L Pisa U. INFN, Pisa INFN, Sezione di Pisa, Largo Bruno Pontecorvo 3, 56127 Pisa, Italy Ferroli, R Baldini Frascati Batignani, G Pisa U. INFN, Pisa INFN, Sezione di Pisa, Largo Bruno Pontecorvo 3, 56127 Pisa, Italy Battaglieri, M INFN, Genoa Boi, S Cagliari U. INFN, Cagliari INFN, Sezione di Cagliari, Complesso Universitario di Monserrato, S.P. per Sestu, 09042, Monserrato (CA), Italy Carnesecchi, F CERN Cavazza, F INFN, Bologna Cicalò, C INFN, Cagliari Cifarelli, L Bologna U. INFN, Bologna INFN, Sezione di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy Coccetti, F Enrico Fermi Ctr., Rome Coccia, E GSSI, Aquila Corvaglia, A Salento U. INFN, Lecce De Gruttola, D Salerno U. INFN, Naples INFN ,Gruppo Collegato di Salerno, Complesso Universitario di Monte S. Angelo ed. 6 via Cintia, 80126, Napoli, Italy De Pasquale, S Salerno U. INFN, Naples INFN ,Gruppo Collegato di Salerno, Complesso Universitario di Monte S. Angelo ed. 6 via Cintia, 80126, Napoli, Italy Galante, L Polytech. Turin Garbini, M Enrico Fermi Ctr., Rome INFN, Bologna INFN, Sezione di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy Gemme, G INFN, Genoa Gnesi, I Enrico Fermi Ctr., Rome INFN, Cosenza INFN, Gruppo Collegato di Cosenza, via Pietro Bucci, Rende (Cosenza), Italy Grazzi, S Messina U. INFN, Genoa INFN, Sezione di Genova, Via Dodecaneso, 33, 16146 Genova, Italy Hatzifotiadou, D INFN, Bologna CERN CERN, Esplanade des Particules 1, 1211 Geneva 23, Switzerland La Rocca, P Catania U. INFN, Catania INFN, Sezione di Catania, Via. S. Sofia 64, 95123 Catania (CT), Italy Liu, Z World Lab., Geneva Mandaglio, G Messina U. INFN, Catania INFN, Sezione di Catania, Via. S. Sofia 64, 95123 Catania (CT), Italy Margotti, A INFN, Bologna Maron, G INFN, Legnaro Padua U. Mazziotta, M N INFN, Pisa Mulliri, A Cagliari U. INFN, Cagliari INFN, Sezione di Cagliari, Complesso Universitario di Monserrato, S.P. per Sestu, 09042, Monserrato (CA), Italy Nania, R INFN, Bologna Noferini, F INFN, Bologna Nozzoli, F INFN, Trento Palmonari, F Bologna U. INFN, Bologna INFN, Sezione di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy Panareo, M Salento U. INFN, Lecce INFN, Sezione di Lecce, Via per Arnesano, 73100, Lecce, Italy Panetta, M P Salento U. INFN, Lecce Paoletti, R Siena U. INFN, Siena INFN, Pisa INFN, Sezione di Pisa, Largo Bruno Pontecorvo 3, 56127 Pisa, Italy Pellegrino, C INFN, CNAF Perasso, L INFN, Genoa Pinazza, O INFN, Bologna Pinto, C Munich, Tech. U. Pisano, S Enrico Fermi Ctr., Rome Frascati INFN, Laboratori Nazionali di Frascati, Via Enrico Fermi 54, 00044 Frascati, Italy Riggi, F Catania U. INFN, Catania INFN, Sezione di Catania, Via. S. Sofia 64, 95123 Catania (CT), Italy Righini, G Florence U. INFN, Florence Ripoli, C Salerno U. INFN, Naples INFN ,Gruppo Collegato di Salerno, Complesso Universitario di Monte S. Angelo ed. 6 via Cintia, 80126, Napoli, Italy Rizzi, M INFN, Bari Bari U. Sartorelli, G Bologna U. INFN, Bologna INFN, Sezione di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy Scapparone, E INFN, Bologna Schioppa, M Calabria U. INFN, Cosenza INFN, Gruppo Collegato di Cosenza, via Pietro Bucci, Rende (Cosenza), Italy Scioli, G Bologna U. INFN, Bologna INFN, Sezione di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy Scribano, A Siena U. INFN, Siena INFN, Pisa INFN, Sezione di Pisa, Largo Bruno Pontecorvo 3, 56127 Pisa, Italy Selvi, M INFN, Bologna Taiuti, M Genoa U. INFN, Genoa INFN, Sezione di Genova, Via Dodecaneso, 33, 16146 Genova, Italy Terreni, G INFN, Pisa Trifirò, A Messina U. INFN, Catania INFN, Sezione di Catania, Via. S. Sofia 64, 95123 Catania (CT), Italy Trimarchi, M Messina U. INFN, Catania INFN, Sezione di Catania, Via. S. Sofia 64, 95123 Catania (CT), Italy Vistoli, C INFN, CNAF Votano, L Gran Sasso Williams, M C S CERN World Lab., Geneva ICSC World laboratory, Geneva, Switzerland Zichichi, A Enrico Fermi Ctr., Rome Bologna U. INFN, Bologna CERN World Lab., Geneva Dipartimento di Fisica e Astronomia, Università di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy CERN, Esplanade des Particules 1, 1211 Geneva 23, Switzerland Zuyeuski, R World Lab., Geneva CERN CERN, Esplanade des Particules 1, 1211 Geneva 23, Switzerland 167754 publication Nucl. Instrum. Methods Phys. Res., A 1046 C22-05-22 2023 13 2808390 167754 la biodola - isola d'elba20220522 ARTICLE ConferencePaper 2847551 20260417052741.0 oai:cds.cern.ch:2847551 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI IOP 10.1088/1361-6471/ad3a84 arXiv oai:arXiv.org:2203.07214 oai:inspirehep.net:2051194 https://inspirehep.net/api/oai2d Inspire 2026-04-16T20:27:58Z 2026-04-17T02:00:21Z marcxml true Inspire 2051194 arXiv arXiv:2203.07214 hep-ex FERMILAB-CONF-22-853-PPD-SCD eng Akindele, O.A. ed. ORCID:0000-0003-4802-5680 LLNL, Livermore Lawrence Livermore National Laboratory,Livermore,CA,United States of America IOP Particle physics using reactor antineutrinos arXiv High Energy Physics Opportunities Using Reactor Antineutrinos 2024-06-26 2022-03-14 50 p arXiv Contribution to Snowmass 2021 arXiv Nuclear reactors are uniquely powerful, abundant, and flavor-pure sources of antineutrinos that continue to play a vital role in the US neutrino physics program. The US reactor antineutrino physics community is a diverse interest group encompassing many detection technologies and many particle physics topics, including Standard Model and short-baseline oscillations, BSM physics searches, and reactor flux and spectrum modeling. The community's aims offer strong complimentary with numerous aspects of the wider US neutrino program and have direct relevance to most of the topical sub-groups composing the Snowmass 2021 Neutrino Frontier. Reactor neutrino experiments also have a direct societal impact and have become a strong workforce and technology development pipeline for DOE National Laboratories and universities. This white paper, prepared as a submission to the Snowmass 2021 community organizing exercise, will survey the state of the reactor antineutrino physics field and summarize the ways in which current and future reactor antineutrino experiments can play a critical role in advancing the field of particle physics in the next decade. IOP Nuclear reactors are uniquely powerful, abundant, and flavor-pure sources of antineutrinos that have played a central role in the discovery of the neutrinos and in elucidation of their properties. This continues through a broad range of experiments investigating topics including Standard Model and short-baseline oscillations, beyond-the-Standard-Model physics searches, and reactor flux and spectrum modelling. This Report will survey the state of the reactor antineutrino physics field and summarize the ways in which current and future reactor antineutrino experiments can play a critical role in advancing the field of particle physics in the next decade. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication IOP Publishing Ltd 2024 HAL G 2022-03-23 abs G 2022-03-27 printed arXiv hep-ex SzGeCERN Particle Physics - Experiment CERN ARTICLE Bowden, N.S. ed. ORCID:0000-0002-6115-0956 LLNL, Livermore Lawrence Livermore National Laboratory,Livermore,CA,United States of America Roca, C. ed. ORCID:0000-0003-4994-5024 LLNL, Livermore Lawrence Livermore National Laboratory,Livermore,CA,United States of America Xu, J. ed. LLNL, Livermore Lawrence Livermore National Laboratory,Livermore,CA,United States of America Zhang, X. ed. ORCID:0000-0003-2518-3651 LLNL, Livermore Lawrence Livermore National Laboratory,Livermore,CA,United States of America Berryman, J.M. ed. UC, Berkeley Washington U., Seattle Department of Physics,University of California,Berkeley,CA 94720,United States of America Institute for Nuclear Theory,University of Washington,Seattle,WA 98195,United States of America Carr, R. ed. ORCID:0000-0002-4181-5092 Naval Academy, Annapolis Department of Physics,United States Naval Academy,Annapolis,MD,United States of America Conant, A.J. ed. ORCID:0000-0001-7766-4321 Oak Ridge Oak Ridge National Laboratory,Oak Ridge,TN,United States of America Fernandez-Moroni, G. ed. ORCID:0000-0003-4238-6813 Fermilab Fermi National Accelerator Laboratory,PO Box 500,Batavia,IL 60510,United States of America Huber, P. ed. ORCID:0000-0002-2622-3953 Virginia Tech. Center for Neutrino Physics,Virginia Tech,Blacksburg,VA,United States of America Link, J.M. ed. ORCID:0000-0002-1514-0650 Virginia Tech. Center for Neutrino Physics,Virginia Tech,Blacksburg,VA,United States of America Langford, T.J. ed. ORCID:0000-0001-5953-5294 Yale U. Wright Laboratory and Department of Physics,Yale University,New Haven,CT 06511,United States of America Littlejohn, B.R. ed. ORCID:0000-0002-6912-9684 Illinois U., Chicago Department of Physics,Illinois Institute of Technology,Chicago,IL,United States of America Ochoa-Ricoux, J.P. ed. ORCID:0000-0001-7376-5555 UC, Irvine Department of Physics and Astronomy,University of California,Irvine,CA 92697,United States of America Strigari, L. ed. ORCID:0000-0001-5672-6079 Texas A-M Texas A M University,College Station,TX 77843,United States of America Schoppmann, S. ed. ORCID:0000-0002-7208-0578 UC, Berkeley LBNL, Berkeley Department of Physics,University of California,Berkeley,CA 94720,United States of America Lawrence Berkeley National Laboratory,Berkeley,CA 94720,United States of America Zhang, C. ed. ORCID:0000-0003-2298-6272 Brookhaven Physics Department,Brookhaven National Laboratory,Upton,NY 11973,United States of America Awe, C. Duke U. TUNL, Durham Department of Physics,Duke University,Durham,NC 27708 Triangle Universities Nuclear Laboratory,Durham,NC 27708 Barbeau, P.S. Duke U. TUNL, Durham Department of Physics,Duke University,Durham,NC 27708 Triangle Universities Nuclear Laboratory,Durham,NC 27708 Haghighat, A. Virginia Tech. Center for Neutrino Physics,Virginia Tech,Blacksburg,Virginia 24061 Li, S.C. Virginia Tech. Center for Neutrino Physics,Virginia Tech,Blacksburg,Virginia 24061 Link, J.M. ORCID:0000-0003-4802-5680 Virginia Tech. Center for Neutrino Physics,Virginia Tech,Blacksburg,Virginia 24061 Mascolino, V. Virginia Tech. Center for Neutrino Physics,Virginia Tech,Blacksburg,Virginia 24061 Subedi, T. Virginia Tech. Center for Neutrino Physics,Virginia Tech,Blacksburg,Virginia 24061 Walkup, K. Virginia Tech. Center for Neutrino Physics,Virginia Tech,Blacksburg,Virginia 24061 Aguilar-Arevalo, A. Mexico U. Universidad Nacional Autónoma de México,Ciudad de México,México Bertou, X. Buenos Aires, CONICET Centro Atómico Bariloche and Instituto Balseiro,Comisión Nacional de Energía Atómica (CNEA),Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET),Universidad Nacional de Cuyo (UNCUYO),San Carlos de Bariloche,Argentina. Bonifazi, C. Rio de Janeiro Federal U. Universidade Federal do Rio de Janeiro,Instituto de Física,Rio de Janeiro,RJ,Brazil Cancelo, G. Fermilab Fermi National Accelerator Laboratory,Batavia,IL,United States Cervantes-Vergara, B.A. Mexico U. Universidad Nacional Autónoma de México,Ciudad de México,México Chavez, C. Asuncion Natl. U. Facultad de Ingeniería - Universidad Nacional de Asunción,Asunción,Paraguay D'Olivo, J.C. Mexico U. Universidad Nacional Autónoma de México,Ciudad de México,México De Egea, J.M.. Asuncion Natl. U. Facultad de Ingeniería - Universidad Nacional de Asunción,Asunción,Paraguay dos Anjos, J.C. Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas,Rio de Janeiro,RJ,Brazil Estrada, J. Fermilab Fermi National Accelerator Laboratory,Batavia,IL,United States Neto, A.R.F. CEFET, Rio de Janeiro Centro Federal de Educação Tecnológica Celso Suckow da Fonseca,Angra dos Reis,RJ,Brazil Foguel, A. Rio de Janeiro Federal U. Universidade Federal do Rio de Janeiro,Instituto de Física,Rio de Janeiro,RJ,Brazil Ford, R. Fermilab Fermi National Accelerator Laboratory,Batavia,IL,United States Gasanego, J. Centro Atomico Bariloche Universidad Nacional de San Martín (UNSAM),Comisión Nacional de Energía Atómica (CNEA),Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET),Argentina Gollo, V. Rio de Janeiro Federal U. Universidade Federal do Rio de Janeiro,Instituto de Física,Rio de Janeiro,RJ,Brazil Izraelevitch, F. Centro Atomico Bariloche Universidad Nacional de San Martín (UNSAM),Comisión Nacional de Energía Atómica (CNEA),Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET),Argentina Kilminster, B. Zurich U. Universität Zürich Physik Institut,Zurich,Switzerland Lima, Jr H.P. Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas,Rio de Janeiro,RJ,Brazil Makler, M. Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas,Rio de Janeiro,RJ,Brazil Mendes, L.H. Rio de Janeiro Federal U. Universidade Federal do Rio de Janeiro,Instituto de Física,Rio de Janeiro,RJ,Brazil Molina, J. Asuncion Natl. U. Facultad de Ingeniería - Universidad Nacional de Asunción,Asunción,Paraguay Mota, P. Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas,Rio de Janeiro,RJ,Brazil Nasteva, I. Rio de Janeiro Federal U. Universidade Federal do Rio de Janeiro,Instituto de Física,Rio de Janeiro,RJ,Brazil Paolini, E. Buenos Aires, CONICET Bahia Blanca, U. Natl. Del Sur Instituto de Investigaciones en Ingeniería Eléctrica,Departamento de Ingeniería Eléctrica y Computadoras,Universidad Nacional del Sur (UNS) - CONICET,Bahía Blanca,Argentina Romero, C. Asuncion Natl. U. Facultad de Ingeniería - Universidad Nacional de Asunción,Asunción,Paraguay Sarkis, Y. Mexico U. Universidad Nacional Autónoma de México,Ciudad de México,México Haro, M.S. Buenos Aires, CONICET Centro Atómico Bariloche and Instituto Balseiro,Comisión Nacional de Energía Atómica (CNEA),Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET),Universidad Nacional de Cuyo (UNCUYO),San Carlos de Bariloche,Argentina. Soto, A. Buenos Aires, CONICET Bahia Blanca, U. Natl. Del Sur Instituto de Investigaciones en Ingeniería Eléctrica,Departamento de Ingeniería Eléctrica y Computadoras,Universidad Nacional del Sur (UNS) - CONICET,Bahía Blanca,Argentina Stalder, D. Asuncion Natl. U. Facultad de Ingeniería - Universidad Nacional de Asunción,Asunción,Paraguay Tiffenberg, J. Fermilab Fermi National Accelerator Laboratory,Batavia,IL,United States Torres, C. Asuncion Natl. U. Facultad de Ingeniería - Universidad Nacional de Asunción,Asunción,Paraguay Lindner, M. Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik,Saupfercheckweg 1,69117 Heidelberg,Germany An, F.P. East China U. Sci. Tech., Shanghai Institute of Modern Physics,East China University of Science and Technology,Shanghai Balantekin, A.B. Wisconsin U., Madison University of Wisconsin,Madison,Wisconsin 53706 Band, H.R. Yale U., Dept. Astron. Wright Laboratory,Department of Physics,Yale University,New Haven,CT,USA Bishai, M. Brookhaven Natl. Lab. Brookhaven National Laboratory,Upton,NY,USA Blyth, S. Taiwan, Natl. Taiwan U. Department of Physics,National Taiwan University,Taipei Cao, G.F. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Cao, J. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Chang, J.F. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Chang, Y. Natl. United U., Taiwan National United University,Miao-Li Chen, H.S. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Chen, S.M. Tsinghua U., Beijing, KLPRI Department of Engineering Physics,JUNOM University,Beijing Chen, Y. Shenzhen U. Zhongshan U. Shenzhen University,Shenzhen Sun Yat-Sen (Zhongshan) University,Guangzhou Chen, Y.X. North China Electric Power U., Beijing North China Electric Power University,Beijing Cheng, J. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Cheng, Z.K. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Cherwinka, J.J. Wisconsin U., Madison University of Wisconsin,Madison,Wisconsin 53706 Chu, M.C. Hong Kong, Chinese U. Chinese University of Hong Kong,Hong Kong Cummings, J.P. Siena Coll., Loudonville Siena College,Loudonville,New York 12211 Dalager, O. UC, Irvine Department of Physics and Astronomy,University of California,Irvine,California 92697 Deng, F.S. Hefei, CUST University of Science and Technology of China,Hefei Ding, Y.Y. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Diwan, M.V. Brookhaven Natl. Lab. Brookhaven National Laboratory,Upton,NY,USA Dohnal, T. Charles U. Charles University,Faculty of Mathematics and Physics,Prague Dove, J. Illinois U., Urbana, Astron. Dept. Department of Physics,University of Illinois at Urbana-Champaign,Urbana,Illinois 61801 Dvořák, M. Charles U. Charles University,Faculty of Mathematics and Physics,Prague Dwyer, D.A. LBL, Berkeley Lawrence Berkeley National Laboratory,Berkeley,California 94720 Gallo, J.P. IIT, Chicago Department of Physics,Illinois Institute of Technology,Chicago,IL,USA Gonchar, M. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Gong, G.H. Tsinghua U., Beijing, KLPRI Department of Engineering Physics,JUNOM University,Beijing Gong, H. Tsinghua U., Beijing, KLPRI Department of Engineering Physics,JUNOM University,Beijing Gu, W.Q. Brookhaven Natl. Lab. Brookhaven National Laboratory,Upton,NY,USA Guo, J.Y. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Guo, L. Tsinghua U., Beijing, KLPRI Department of Engineering Physics,JUNOM University,Beijing Guo, X.H. Beijing Normal U. Beijing Normal University,Beijing Guo, Y.H. Xian Jiaotong U. Department of Nuclear Science and Technology,School of Energy and Power Engineering,Xi'an Jiaotong University,Xi'an Guo, Z. Tsinghua U., Beijing, KLPRI Department of Engineering Physics,JUNOM University,Beijing Hackenburg, R.W. Brookhaven Natl. Lab. Brookhaven National Laboratory,Upton,NY,USA Hans, S. Brookhaven Natl. Lab. Brookhaven National Laboratory,Upton,NY,USA He, M. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Heeger, K.M. Yale U., Dept. Astron. Wright Laboratory,Department of Physics,Yale University,New Haven,CT,USA Heng, Y.K. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Higuera, A. Houston U. Department of Physics,University of Houston,Houston,Texas 77204 Hor, Y.K. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Hsiung, Y.B. Taiwan, Natl. Taiwan U. Department of Physics,National Taiwan University,Taipei Hu, B.Z. Taiwan, Natl. Taiwan U. Department of Physics,National Taiwan University,Taipei Hu, J.R. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Hu, T. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Hu, Z.J. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Huang, H.X. Beijing, Inst. Atomic Energy Orsay, IPN Beijing, Inst. Theor. Phys. China Institute of Atomic Energy,Beijing Huang, X.T. Shandong U. Shandong University,Jinan Huber, P. ORCID:0000-0003-4802-5680 TUNL, Durham Virginia Tech. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Center for Neutrino Physics,Virginia Tech,Blacksburg,Virginia 24061 Jaffe, D.E. Brookhaven Natl. Lab. Brookhaven National Laboratory,Upton,NY,USA Jen, K.L. Taiwan, Natl. Chiao Tung U. Institute of Physics,National Chiao-Tung University,Hsinchu Ji, X.L. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Ji, X.P. Brookhaven Natl. Lab. Brookhaven National Laboratory,Upton,NY,USA Johnson, R.A. Cincinnati U. Department of Physics,University of Cincinnati,Cincinnati,Ohio 45221 Jones, D. Temple U. Department of Physics,College of Science and Technology,Temple University,Philadelphia,Pennsylvania 19122 Kang, L. Beijing, Inst. High Energy Phys. Dongguan University of Technology,Dongguan Kettell, S.H. Brookhaven Natl. Lab. Brookhaven National Laboratory,Upton,NY,USA Kohn, S. UC, Berkeley Department of Physics,University of California,Berkeley,California 94720 Kramer, M. LBL, Berkeley UC, Berkeley Lawrence Berkeley National Laboratory,Berkeley,California 94720 Department of Physics,University of California,Berkeley,California 94720 Lee, J. LBL, Berkeley Lawrence Berkeley National Laboratory,Berkeley,California 94720 Lee, J.H.C. Hong Kong U. Department of Physics,The University of Hong Kong,Pokfulam,Hong Kong Lei, R.T. Beijing, Inst. High Energy Phys. Dongguan University of Technology,Dongguan Leitner, R. Charles U. Charles University,Faculty of Mathematics and Physics,Prague Leung, J.K.C. Hong Kong U. Department of Physics,The University of Hong Kong,Pokfulam,Hong Kong Li, F. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Li, H.L. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Li, J.J. Tsinghua U., Beijing, KLPRI Department of Engineering Physics,JUNOM University,Beijing Li, Q.J. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Li, S. Beijing, Inst. High Energy Phys. Dongguan University of Technology,Dongguan Li, S.C. ORCID:0000-0003-4802-5680 TUNL, Durham Virginia Tech. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Center for Neutrino Physics,Virginia Tech,Blacksburg,Virginia 24061 Li, W.D. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Li, X.N. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Li, X.Q. Nankai U. School of Physics,Nankai University,Tianjin Li, Y.F. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Li, Z.B. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Liang, H. Hefei, CUST University of Science and Technology of China,Hefei Lin, C.J. LBL, Berkeley Lawrence Berkeley National Laboratory,Berkeley,California 94720 Lin, G.L. Taiwan, Natl. Chiao Tung U. Institute of Physics,National Chiao-Tung University,Hsinchu Lin, S. Beijing, Inst. High Energy Phys. Dongguan University of Technology,Dongguan Ling, J.J. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Littenberg, L. Brookhaven Natl. Lab. Brookhaven National Laboratory,Upton,NY,USA Liu, J.C. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Liu, J.L. Shanghai Jiaotong U. Shanghai Jiao Tong U. Department of Physics and Astronomy,Shanghai Jiao Tong University,Shanghai Laboratory for Particle Physics and Cosmology,Shanghai Lu, C. Princeton U. Joseph Henry Laboratories,Princeton University,Princeton,New Jersey 08544 Lu, H.Q. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Lu, J.S. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Luk, K.B. UC, Berkeley LBL, Berkeley Department of Physics,University of California,Berkeley,California 94720 Lawrence Berkeley National Laboratory,Berkeley,California 94720 Ma, X.B. North China Electric Power U., Beijing North China Electric Power University,Beijing Ma, X.Y. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Ma, Y.Q. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Mandujano, R.C. UC, Irvine Department of Physics and Astronomy,University of California,Irvine,California 92697 Marshall, C. LBL, Berkeley Lawrence Berkeley National Laboratory,Berkeley,California 94720 Martinez Caicedo, D.A. IIT, Chicago Department of Physics,Illinois Institute of Technology,Chicago,IL,USA McDonald, K.T. Princeton U. Joseph Henry Laboratories,Princeton University,Princeton,New Jersey 08544 McKeown, R.D. Caltech William-Mary Coll. California Institute of Technology,Pasadena,California 91125 College of William and Mary,Williamsburg,Virginia 23187 Meng, Y. Shanghai Jiaotong U. Shanghai Jiao Tong U. Department of Physics and Astronomy,Shanghai Jiao Tong University,Shanghai Laboratory for Particle Physics and Cosmology,Shanghai Napolitano, J. Temple U. Department of Physics,College of Science and Technology,Temple University,Philadelphia,Pennsylvania 19122 Naumov, D. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Naumova, E. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Olshevskiy, A. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Pan, H.-R. Taiwan, Natl. Taiwan U. Department of Physics,National Taiwan University,Taipei Park, J. Virginia Tech. Center for Neutrino Physics,Virginia Tech,Blacksburg,Virginia 24061 Patton, S. LBL, Berkeley Lawrence Berkeley National Laboratory,Berkeley,California 94720 Peng, J.C. Illinois U., Urbana, Astron. Dept. Department of Physics,University of Illinois at Urbana-Champaign,Urbana,Illinois 61801 Pun, C.S.J. Hong Kong U. Department of Physics,The University of Hong Kong,Pokfulam,Hong Kong Qi, F.Z. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Qi, M. Nanjing U. Nanjing University,Nanjing Qian, X. Brookhaven Natl. Lab. Brookhaven National Laboratory,Upton,NY,USA Raper, N. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Ren, J. Beijing, Inst. Atomic Energy Orsay, IPN Beijing, Inst. Theor. Phys. China Institute of Atomic Energy,Beijing Reveco, C.Morales UC, Irvine Department of Physics and Astronomy,University of California,Irvine,California 92697 Rosero, R. Brookhaven Natl. Lab. Brookhaven National Laboratory,Upton,NY,USA Roskovec, B. UC, Irvine Department of Physics and Astronomy,University of California,Irvine,California 92697 Ruan, X.C. Beijing, Inst. Atomic Energy Orsay, IPN Beijing, Inst. Theor. Phys. China Institute of Atomic Energy,Beijing Steiner, H. UC, Berkeley LBL, Berkeley Department of Physics,University of California,Berkeley,California 94720 Lawrence Berkeley National Laboratory,Berkeley,California 94720 Sun, J.L. CGNPC, Shenzhen China General Nuclear Power Group,Shenzhen Tmej, T. Charles U. Charles University,Faculty of Mathematics and Physics,Prague Treskov, K. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Tse, W.-H. Hong Kong, Chinese U. Chinese University of Hong Kong,Hong Kong Tull, C.E. LBL, Berkeley Lawrence Berkeley National Laboratory,Berkeley,California 94720 Viren, B. Brookhaven Natl. Lab. Brookhaven National Laboratory,Upton,NY,USA Vorobel, V. Charles U. Charles University,Faculty of Mathematics and Physics,Prague Wang, C.H. Natl. United U., Taiwan National United University,Miao-Li Wang, J. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Wang, M. Shandong U. Shandong University,Jinan Wang, N.Y. Beijing Normal U. Beijing Normal University,Beijing Wang, R.G. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Wang, W. Zhongshan U. William-Mary Coll. Sun Yat-Sen (Zhongshan) University,Guangzhou College of William and Mary,Williamsburg,Virginia 23187 Wang, W. ORCID:0000-0003-4802-5680 TUNL, Durham Zhongshan U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Sun Yat-Sen (Zhongshan) University,Guangzhou Wang, X. Natl. U. Defense Tech., Hunan College of Electronic Science and Engineering,National University of Defense Technology,Changsha Wang, Y. Nanjing U. Nanjing University,Nanjing Wang, Y.F. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Wang, Z. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Wang, Z. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Wang, Z.M. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Wei, H.Y. Brookhaven Natl. Lab. Brookhaven National Laboratory,Upton,NY,USA Wei, L.H. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Wen, L.J. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Whisnant, K. Iowa State U. Iowa State University,Ames,Iowa 50011 White, C.G. IIT, Chicago Department of Physics,Illinois Institute of Technology,Chicago,IL,USA Wong, H.L.H. UC, Berkeley LBL, Berkeley Department of Physics,University of California,Berkeley,California 94720 Lawrence Berkeley National Laboratory,Berkeley,California 94720 Worcester, E. Brookhaven Natl. Lab. Brookhaven National Laboratory,Upton,NY,USA Wu, D.R. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Wu, F.L. Nanjing U. Nanjing University,Nanjing Wu, Q. Shandong U. Shandong University,Jinan Wu, W.J. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Xia, D.M. Chongqing U. Chongqing University,Chongqing Xie, Z.Q. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Xing, Z.Z. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Xu, J.L. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Xu, T. Tsinghua U., Beijing, KLPRI Department of Engineering Physics,JUNOM University,Beijing Xue, T. Tsinghua U., Beijing, KLPRI Department of Engineering Physics,JUNOM University,Beijing Yang, C.G. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Yang, L. Beijing, Inst. High Energy Phys. Dongguan University of Technology,Dongguan Yang, Y.Z. Tsinghua U., Beijing, KLPRI Department of Engineering Physics,JUNOM University,Beijing Yao, H.F. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Ye, M. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Yeh, M. Brookhaven Natl. Lab. Brookhaven National Laboratory,Upton,NY,USA Young, B.L. Iowa State U. Iowa State University,Ames,Iowa 50011 Yu, H.Z. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Yu, Z.Y. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Yue, B.B. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Zeng, S. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Zeng, Y. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Zhan, L. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Zhang, F.Y. Shanghai Jiaotong U. Shanghai Jiao Tong U. Department of Physics and Astronomy,Shanghai Jiao Tong University,Shanghai Laboratory for Particle Physics and Cosmology,Shanghai Zhang, H.H. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Zhang, J.W. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Zhang, Q.M. Xian Jiaotong U. Department of Nuclear Science and Technology,School of Energy and Power Engineering,Xi'an Jiaotong University,Xi'an Zhang, X.T. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Zhang, Y.M. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Zhang, Y.X. CGNPC, Shenzhen China General Nuclear Power Group,Shenzhen Zhang, Y.Y. Shanghai Jiaotong U. Shanghai Jiao Tong U. Department of Physics and Astronomy,Shanghai Jiao Tong University,Shanghai Laboratory for Particle Physics and Cosmology,Shanghai Zhang, Z.J. Beijing, Inst. High Energy Phys. Dongguan University of Technology,Dongguan Zhang, Z.P. Hefei, CUST University of Science and Technology of China,Hefei Zhang, Z.Y. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Zhao, J. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Zhou, L. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Zhuang, H.L. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Zou, J.H. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Abusleme, A. Chile U., Catolica Pontificia Universidad Católica de Chile,Santiago,Chile Adam, T. Strasbourg, IPHC Louis Pasteur U., Strasbourg I IPHC,Universitéde Strasbourg,CNRS/IN2P3,F-67037 Strasbourg,France Ahmad, S. COMSATS, Islamabad Pakistan Institute of Nuclear Science and Technology,Islamabad,Pakistan Ahmed, R. COMSATS, Islamabad Pakistan Institute of Nuclear Science and Technology,Islamabad,Pakistan Aiello, S. INFN, Catania Catania U. INFN Catania and Dipartimento di Fisica e Astronomia dell Universitàdi Catania,Catania,Italy An, F.P. ORCID:0000-0003-4802-5680 TUNL, Durham East China U. Sci. Tech., Shanghai Triangle Universities Nuclear Laboratory,Durham,NC 27708 East China University of Science and Technology,Shanghai,China An, G.P. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing An, Q. Hefei, CUST University of Science and Technology of China,Hefei Andronico, G. INFN, Catania Catania U. INFN Catania and Dipartimento di Fisica e Astronomia dell Universitàdi Catania,Catania,Italy Anfimov, N. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Antonelli, V. Milan U. Gran Sasso INFN Sezione di Milano and Dipartimento di Fisica dell Universitàdi Milano,Milano,Italy Antoshkina, T. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Asavapibhop, B. Chulalongkorn U. Department of Physics,Faculty of Science,Chulalongkorn University,Bangkok,Thailand de André, J.P.A.M. Strasbourg, IPHC Louis Pasteur U., Strasbourg I IPHC,Universitéde Strasbourg,CNRS/IN2P3,F-67037 Strasbourg,France Auguste, D. IJCLab, Orsay IJCLab,UniversitéParis-Saclay,CNRS/IN2P3,91405 Orsay,France Babic, A. Comenius U. Masaryk U., Brno Comenius University Bratislava,Faculty of Mathematics,Physics and Informatics,Bratislava,Slovakia Baldini, W. Ferrara U. INFN, Ferrara Department of Physics and Earth Science,University of Ferrara and INFN Sezione di Ferrara,Ferrara,Italy Barresi, A. INFN, Milan Milan Bicocca U. INFN Milano Bicocca and University of Milano Bicocca,Milano,Italy Baussan, E. Strasbourg, IPHC Louis Pasteur U., Strasbourg I IPHC,Universitéde Strasbourg,CNRS/IN2P3,F-67037 Strasbourg,France Bellato, M. INFN, Padua INFN Sezione di Padova,Padova,Italy Bergnoli, A. INFN, Padua INFN Sezione di Padova,Padova,Italy Bernieri, E. INFN, Rome3 Rome III U. University of Roma Tre and INFN Sezione Roma Tre,Roma,Italy Birkenfeld, T. Aachen, Tech. Hochsch. III. Physikalisches Institut B,RWTH Aachen University,Aachen,Germany Blin, S. IJCLab, Orsay IJCLab,UniversitéParis-Saclay,CNRS/IN2P3,91405 Orsay,France Blum, D. Tubingen U. Eberhard Karls Universität Tübingen,Physikalisches Institut,Tübingen,Germany Blyth, S. ORCID:0000-0003-4802-5680 TUNL, Durham Taiwan, Natl. Taiwan U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Department of Physics,National Taiwan University,Taipei Bolshakova, A. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Bongrand, M. IJCLab, Orsay IJCLab,UniversitéParis-Saclay,CNRS/IN2P3,91405 Orsay,France Bordereau, C. CENBG, Gradignan Natl. United U., Taiwan Universitéde Bordeaux,CNRS,CENBG-IN2P3,F-33170 Gradignan,France National United University,Miao-Li Breton, D. IJCLab, Orsay IJCLab,UniversitéParis-Saclay,CNRS/IN2P3,91405 Orsay,France Brigatti, A. Milan U. Gran Sasso INFN Sezione di Milano and Dipartimento di Fisica dell Universitàdi Milano,Milano,Italy Brugnera, R. Padua U. Dipartimento di Fisica e Astronomia dell'Universita' di Padova and INFN Sezione di Padova,Padova,Italy Bruno, R. INFN, Catania Catania U. INFN Catania and Dipartimento di Fisica e Astronomia dell Universitàdi Catania,Catania,Italy Budano, A. INFN, Rome3 Rome III U. University of Roma Tre and INFN Sezione Roma Tre,Roma,Italy Buesken, M. Aachen, Tech. Hochsch. III. Physikalisches Institut B,RWTH Aachen University,Aachen,Germany Buscemi, M. INFN, Catania Catania U. INFN Catania and Dipartimento di Fisica e Astronomia dell Universitàdi Catania,Catania,Italy Busto, Jose Marseille, CPPM Centre de Physique des Particules de Marseille,Marseille,France Butorov, I. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Cabrera, A. IJCLab, Orsay IJCLab,UniversitéParis-Saclay,CNRS/IN2P3,91405 Orsay,France Cai, H. WUT, Wuhan Wuhan University,Wuhan,China Cai, X. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Cai, Y.K. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Cai, Z.Y. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Cammi, A. INFN, Milan INFN Milano Bicocca and Politecnico of Milano,Milano,Italy Campeny, A. Chile U., Catolica Pontificia Universidad Católica de Chile,Santiago,Chile Cao, C.Y. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Cao, G.F. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Cao, J. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Caruso, R. INFN, Catania Catania U. INFN Catania and Dipartimento di Fisica e Astronomia dell Universitàdi Catania,Catania,Italy Cerna, C. CENBG, Gradignan Universitéde Bordeaux,CNRS,CENBG-IN2P3,F-33170 Gradignan,France Chakaberia, I. Shandong U. Shandong University,Jinan Chang, J.F. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Chang, Y. ORCID:0000-0003-4802-5680 TUNL, Durham Natl. United U., Taiwan Triangle Universities Nuclear Laboratory,Durham,NC 27708 National United University,Miao-Li Chen, P.P. Beijing, Inst. High Energy Phys. Dongguan University of Technology,Dongguan,China Chen, P.A. Taiwan, Natl. Taiwan U. Department of Physics,National Taiwan University,Taipei Chen, S. Taiwan, Natl. Tsing Hua U. Tsinghua University,Beijing,China Chen, X. Lanzhou, Inst. Modern Phys. Institute of Modern Physics,Chinese Academy of Sciences,Lanzhou,China Chen, Y.W. Taiwan, Natl. Chiao Tung U. Institute of Physics,National Chiao-Tung University,Hsinchu Chen, Y. ORCID:0000-0003-4802-5680 TUNL, Durham Zhongshan U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Sun Yat-Sen (Zhongshan) University,Guangzhou Chen, Z. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Cheng, J. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Cheng, Y. Unlisted, CN Beijing Institute of Spacecraft Environment Engineering,Beijing,China Chiesa, D. INFN, Milan Milan Bicocca U. INFN Milano Bicocca and University of Milano Bicocca,Milano,Italy Chimenti, P. Londrina U. Universidade Estadual de Londrina,Londrina,Brazil Chukanov, A. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Chuvashova, A. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Claverie, G. CENBG, Gradignan Universitéde Bordeaux,CNRS,CENBG-IN2P3,F-33170 Gradignan,France Clementi, C. INFN, Perugia Perugia U. INFN Sezione di Perugia and Dipartimento di Chimica,Biologia e Biotecnologie dell'Universitàdi Perugia,Perugia,Italy Clerbaux, B. Brussels U. UniversitéLibre de Bruxelles,Brussels,Belgium Di Lorenzo, S. IJCLab, Orsay IJCLab,UniversitéParis-Saclay,CNRS/IN2P3,91405 Orsay,France Corti, D. INFN, Padua INFN Sezione di Padova,Padova,Italy Costa, S. INFN, Catania Catania U. INFN Catania and Dipartimento di Fisica e Astronomia dell Universitàdi Catania,Catania,Italy Corso, F.D. INFN, Padua INFN Sezione di Padova,Padova,Italy Dalager, O. ORCID:0000-0003-4802-5680 TUNL, Durham UC, Irvine Triangle Universities Nuclear Laboratory,Durham,NC 27708 Department of Physics and Astronomy,University of California,Irvine,California 92697 De La Taille, C. IJCLab, Orsay IJCLab,UniversitéParis-Saclay,CNRS/IN2P3,91405 Orsay,France Deng, J. WUT, Wuhan Wuhan University,Wuhan,China Deng, Z. Taiwan, Natl. Tsing Hua U. Tsinghua University,Beijing,China Deng, Z.Y. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Depnering, W. Mainz U. Institute of Physics,Johannes-Gutenberg Universität Mainz,Mainz,Germany Diaz, M. Chile U., Catolica Pontificia Universidad Católica de Chile,Santiago,Chile Ding, X.F. Milan U. Gran Sasso INFN Sezione di Milano and Dipartimento di Fisica dell Universitàdi Milano,Milano,Italy Ding, Y.Y. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Dirgantara, B. Suranaree U. of Tech. Suranaree University of Technology,Nakhon Ratchasima,Thailand Dmitrievsky, S. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Dohnal, T. ORCID:0000-0003-4802-5680 TUNL, Durham Charles U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Charles University,Faculty of Mathematics and Physics,Prague Donchenko, G. Lomonosov Moscow State U. Lomonosov Moscow State University,Moscow,Russia Dong, J.M. Taiwan, Natl. Tsing Hua U. Tsinghua University,Beijing,China Dornic, D. Marseille, CPPM Centre de Physique des Particules de Marseille,Marseille,France Doroshkevich, E. Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences,Moscow,Russia Dracos, M. Strasbourg, IPHC Louis Pasteur U., Strasbourg I IPHC,Universitéde Strasbourg,CNRS/IN2P3,F-67037 Strasbourg,France Druillole, F. CENBG, Gradignan Universitéde Bordeaux,CNRS,CENBG-IN2P3,F-33170 Gradignan,France Du, S.X. Zhengzhou U. School of Physics and Microelectronics,Zhengzhou University,Zhengzhou,China Dusini, S. INFN, Padua INFN Sezione di Padova,Padova,Italy Dvorak, M. Charles U. Charles University,Faculty of Mathematics and Physics,Prague Enqvist, T. Jyvaskyla U. University of Jyvaskyla,Department of Physics,Jyvaskyla,Finland Enzmann, H. Mainz U. Institute of Physics,Johannes-Gutenberg Universität Mainz,Mainz,Germany Fabbri, A. INFN, Rome3 Rome III U. University of Roma Tre and INFN Sezione Roma Tre,Roma,Italy Fajt, L. Comenius U. Masaryk U., Brno Comenius University Bratislava,Faculty of Mathematics,Physics and Informatics,Bratislava,Slovakia Fan, D.H. Wuyi U., Jiangmen Wuyi University,Jiangmen,China Fan, L. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Fang, C. Guangxi Coll. Nat. Guangxi University,Nanning,China Fang, J. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Fang, W.X. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Fargetta, M. INFN, Catania Catania U. INFN Catania and Dipartimento di Fisica e Astronomia dell Universitàdi Catania,Catania,Italy Fatkina, A. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Fedoseev, D. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Fekete, V. Comenius U. Masaryk U., Brno Comenius University Bratislava,Faculty of Mathematics,Physics and Informatics,Bratislava,Slovakia Feng, L.C. Taiwan, Natl. Chiao Tung U. Institute of Physics,National Chiao-Tung University,Hsinchu Feng, Q.C. Harbin Inst. Tech. Harbin Institute of Technology,Harbin,China Ford, R. ORCID:0000-0003-4802-5680 TUNL, Durham Milan U. Gran Sasso Triangle Universities Nuclear Laboratory,Durham,NC 27708 INFN Sezione di Milano and Dipartimento di Fisica dell Universitàdi Milano,Milano,Italy Formozov, A. Milan U. Gran Sasso INFN Sezione di Milano and Dipartimento di Fisica dell Universitàdi Milano,Milano,Italy Fournier, A. CENBG, Gradignan Universitéde Bordeaux,CNRS,CENBG-IN2P3,F-33170 Gradignan,France Gan, H.N. Santa Maria U., Valparaiso Universidad Tecnica Federico Santa Maria,Valparaiso,Chile Gao, F. Aachen, Tech. Hochsch. III. Physikalisches Institut B,RWTH Aachen University,Aachen,Germany Garfagnini, A. Padua U. Dipartimento di Fisica e Astronomia dell'Universita' di Padova and INFN Sezione di Padova,Padova,Italy Göttel, A. Julich, Forschungszentrum Aachen, Tech. Hochsch. Forschungszentrum Jülich GmbH,Nuclear Physics Institute IKP-2,Jülich,Germany III. Physikalisches Institut B,RWTH Aachen University,Aachen,Germany Genster, C. Julich, Forschungszentrum Forschungszentrum Jülich GmbH,Nuclear Physics Institute IKP-2,Jülich,Germany Giammarchi, M. Milan U. Gran Sasso INFN Sezione di Milano and Dipartimento di Fisica dell Universitàdi Milano,Milano,Italy Giaz, A. Padua U. Dipartimento di Fisica e Astronomia dell'Universita' di Padova and INFN Sezione di Padova,Padova,Italy Giudice, N. INFN, Catania Catania U. INFN Catania and Dipartimento di Fisica e Astronomia dell Universitàdi Catania,Catania,Italy Gonchar, M. ORCID:0000-0003-4802-5680 TUNL, Durham Dubna, JINR Triangle Universities Nuclear Laboratory,Durham,NC 27708 Joint Institute for Nuclear Research,Dubna,Moscow Region Gong, G. Taiwan, Natl. Tsing Hua U. Tsinghua University,Beijing,China Gong, H. ORCID:0000-0003-4802-5680 TUNL, Durham Taiwan, Natl. Tsing Hua U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Tsinghua University,Beijing,China Gorchakov, O. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Gornushkin, Y. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Grassi, M. Padua U. Dipartimento di Fisica e Astronomia dell'Universita' di Padova and INFN Sezione di Padova,Padova,Italy Grewing, C. Julich, Forschungszentrum Forschungszentrum Jülich GmbH,Central Institute of Engineering,Electronics and Analytics - Electronic Systems(ZEA-2),Jülich,Germany Gromov, V. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Gu, M. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Gu, X. Zhengzhou U. School of Physics and Microelectronics,Zhengzhou University,Zhengzhou,China Gu, Y. Hua-Zhong U. Sci. Tech. Jinan University,Guangzhou,China Guan, M.Y. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Guardone, N. INFN, Catania Catania U. INFN Catania and Dipartimento di Fisica e Astronomia dell Universitàdi Catania,Catania,Italy Gul, M. COMSATS, Islamabad Pakistan Institute of Nuclear Science and Technology,Islamabad,Pakistan Guo, C. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Guo, J.Y. ORCID:0000-0003-4802-5680 TUNL, Durham Zhongshan U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Sun Yat-Sen (Zhongshan) University,Guangzhou Guo, W.L. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Guo, X.H. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing Normal U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Beijing Normal University,Beijing Guo, Y.H. ORCID:0000-0003-4802-5680 TUNL, Durham Julich, Forschungszentrum Triangle Universities Nuclear Laboratory,Durham,NC 27708 Forschungszentrum Jülich GmbH,Nuclear Physics Institute IKP-2,Jülich,Germany Hackspacher, P. Mainz U. Institute of Physics,Johannes-Gutenberg Universität Mainz,Mainz,Germany Hagner, C. Hamburg U. Institute of Experimental Physics,University of Hamburg,Hamburg,Germany Han, R. Unlisted, CN Beijing Institute of Spacecraft Environment Engineering,Beijing,China Han, Y. IJCLab, Orsay IJCLab,UniversitéParis-Saclay,CNRS/IN2P3,91405 Orsay,France Hassan, M. COMSATS, Islamabad Pakistan Institute of Nuclear Science and Technology,Islamabad,Pakistan He, M. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing He, W. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Heinz, T. Tubingen U. Eberhard Karls Universität Tübingen,Physikalisches Institut,Tübingen,Germany Hellmuth, P. CENBG, Gradignan Universitéde Bordeaux,CNRS,CENBG-IN2P3,F-33170 Gradignan,France Heng, Y.K. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Herrera, R. Chile U., Catolica Pontificia Universidad Católica de Chile,Santiago,Chile Hong, D.J. Guangxi Coll. Nat. Guangxi University,Nanning,China Hou, S.J. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Hsiung, Y. Taiwan, Natl. Taiwan U. Department of Physics,National Taiwan University,Taipei Hu, B.Z. ORCID:0000-0003-4802-5680 TUNL, Durham Taiwan, Natl. Taiwan U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Department of Physics,National Taiwan University,Taipei Hu, H. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Hu, J.R. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Hu, J. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Hu, S.Y. Beijing, Inst. Atomic Energy Orsay, IPN Beijing, Inst. Theor. Phys. China Institute of Atomic Energy,Beijing Hu, T. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Hu, Z.J. ORCID:0000-0003-4802-5680 TUNL, Durham Zhongshan U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Sun Yat-Sen (Zhongshan) University,Guangzhou Huang, C.H. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Huang, G.H. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Huang, H.X. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. Atomic Energy Orsay, IPN Beijing, Inst. Theor. Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 China Institute of Atomic Energy,Beijing Huang, Q.H. Strasbourg, IPHC Louis Pasteur U., Strasbourg I IPHC,Universitéde Strasbourg,CNRS/IN2P3,F-67037 Strasbourg,France Huang, W.H. Shandong U. Shandong University,Jinan Huang, X. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Huang, X.T. ORCID:0000-0003-4802-5680 TUNL, Durham Shandong U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Shandong University,Jinan Huang, Y.B. Guangxi Coll. Nat. Guangxi University,Nanning,China Hui, J.Q. Shanghai Jiaotong U. School of Physics and Astronomy,Shanghai Jiao Tong University,Shanghai,China Huo, L. Harbin Inst. Tech. Harbin Institute of Technology,Harbin,China Huo, W. Hefei, CUST University of Science and Technology of China,Hefei Huss, C. CENBG, Gradignan Universitéde Bordeaux,CNRS,CENBG-IN2P3,F-33170 Gradignan,France Hussain, S. COMSATS, Islamabad Pakistan Institute of Nuclear Science and Technology,Islamabad,Pakistan Insolia, A. INFN, Catania Catania U. INFN Catania and Dipartimento di Fisica e Astronomia dell Universitàdi Catania,Catania,Italy Ioannisian, A. Yerevan Phys. Inst. Yerevan Physics Institute,Yerevan,Armenia Isocrate, R. INFN, Padua INFN Sezione di Padova,Padova,Italy Jen, K.L. ORCID:0000-0003-4802-5680 TUNL, Durham Taiwan, Natl. Chiao Tung U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of Physics,National Chiao-Tung University,Hsinchu Ji, X.L. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Ji, X.Z. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Jia, H.H. Nankai U. School of Physics,Nankai University,Tianjin Jia, J.J. WUT, Wuhan Wuhan University,Wuhan,China Jian, S.Y. Beijing, Inst. Atomic Energy Orsay, IPN Beijing, Inst. Theor. Phys. China Institute of Atomic Energy,Beijing Jiang, D. Hefei, CUST University of Science and Technology of China,Hefei Jiang, X.S. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Jin, R.Y. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Jing, X.P. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Jollet, C. CENBG, Gradignan Universitéde Bordeaux,CNRS,CENBG-IN2P3,F-33170 Gradignan,France Joutsenvaara, J. Jyvaskyla U. University of Jyvaskyla,Department of Physics,Jyvaskyla,Finland Jungthawan, S. Suranaree U. of Tech. Suranaree University of Technology,Nakhon Ratchasima,Thailand Kalousis, L. Strasbourg, IPHC Louis Pasteur U., Strasbourg I IPHC,Universitéde Strasbourg,CNRS/IN2P3,F-67037 Strasbourg,France Kampmann, P. Julich, Forschungszentrum Aachen, Tech. Hochsch. Forschungszentrum Jülich GmbH,Nuclear Physics Institute IKP-2,Jülich,Germany III. Physikalisches Institut B,RWTH Aachen University,Aachen,Germany Kang, L. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Dongguan University of Technology,Dongguan,China Karagounis, M. Julich, Forschungszentrum Forschungszentrum Jülich GmbH,Central Institute of Engineering,Electronics and Analytics - Electronic Systems(ZEA-2),Jülich,Germany Kazarian, N. Yerevan Phys. Inst. Yerevan Physics Institute,Yerevan,Armenia Khan, A. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Khan, W. Xian Jiaotong U. Xi'an Jiaotong University,Xi'an,China Khosonthongkee, K. Suranaree U. of Tech. Suranaree University of Technology,Nakhon Ratchasima,Thailand Kinz, P. Taiwan, Natl. Chiao Tung U. Institute of Physics,National Chiao-Tung University,Hsinchu Korablev, D. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Kouzakov, K. Lomonosov Moscow State U. Lomonosov Moscow State University,Moscow,Russia Krasnoperov, A. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Krumshteyn, Z. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Kruth, A. Julich, Forschungszentrum Forschungszentrum Jülich GmbH,Central Institute of Engineering,Electronics and Analytics - Electronic Systems(ZEA-2),Jülich,Germany Kutovskiy, N. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Kuusiniemi, P. Jyvaskyla U. University of Jyvaskyla,Department of Physics,Jyvaskyla,Finland Lachenmaier, T. Tubingen U. Eberhard Karls Universität Tübingen,Physikalisches Institut,Tübingen,Germany Landini, C. Milan U. Gran Sasso INFN Sezione di Milano and Dipartimento di Fisica dell Universitàdi Milano,Milano,Italy Leblanc, S. CENBG, Gradignan Universitéde Bordeaux,CNRS,CENBG-IN2P3,F-33170 Gradignan,France Lebrin, V. SUBATECH, Nantes SUBATECH,Universitéde Nantes,IMT Atlantique,CNRS-IN2P3,Nantes,France Lefevre, F. SUBATECH, Nantes SUBATECH,Universitéde Nantes,IMT Atlantique,CNRS-IN2P3,Nantes,France Lei, R. Beijing, Inst. High Energy Phys. Dongguan University of Technology,Dongguan,China Leitner, R. ORCID:0000-0003-4802-5680 TUNL, Durham Charles U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Charles University,Faculty of Mathematics and Physics,Prague Leung, J. Taiwan, Natl. Chiao Tung U. Institute of Physics,National Chiao-Tung University,Hsinchu Li, C. Shandong U. Shandong University,Jinan Li, D. Zhengzhou U. School of Physics and Microelectronics,Zhengzhou University,Zhengzhou,China Li, F. ORCID:0000-0003-4802-5680 TUNL, Durham Taiwan, Natl. Tsing Hua U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Tsinghua University,Beijing,China Li, H. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Li, H.L. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Li, J. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Li, K.J. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Li, M.Z. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Li, M. North China Electric Power U., Beijing North China Electric Power University,Beijing Li, N. Natl. U. Defense Tech., Hunan College of Electronic Science and Engineering,National University of Defense Technology,Changsha Li, N. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Li, Q.J. ORCID:0000-0003-4802-5680 TUNL, Durham Natl. U. Defense Tech., Hunan Triangle Universities Nuclear Laboratory,Durham,NC 27708 College of Electronic Science and Engineering,National University of Defense Technology,Changsha Li, R.H. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Li, S.F. Beijing, Inst. High Energy Phys. Dongguan University of Technology,Dongguan,China Li, S.J. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Li, T. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Li, T. ORCID:0000-0003-4802-5680 TUNL, Durham Shandong U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Shandong University,Jinan Li, W.D. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Li, W.G. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Li, X.M. Beijing, Inst. Atomic Energy Orsay, IPN Beijing, Inst. Theor. Phys. China Institute of Atomic Energy,Beijing Li, X.N. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Li, X.L. Beijing, Inst. Atomic Energy Orsay, IPN Beijing, Inst. Theor. Phys. China Institute of Atomic Energy,Beijing Li, Y. Beijing, Inst. High Energy Phys. Dongguan University of Technology,Dongguan,China Li, Y.F. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Li, Z. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Li, Z.B. ORCID:0000-0003-4802-5680 TUNL, Durham Zhongshan U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Sun Yat-Sen (Zhongshan) University,Guangzhou Li, Z.Y. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Liang, H. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. Atomic Energy Orsay, IPN Beijing, Inst. Theor. Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 China Institute of Atomic Energy,Beijing Liang, J.J. Guangxi Coll. Nat. Guangxi University,Nanning,China Liebau, D. Julich, Forschungszentrum Forschungszentrum Jülich GmbH,Central Institute of Engineering,Electronics and Analytics - Electronic Systems(ZEA-2),Jülich,Germany Limphirat, A. Suranaree U. of Tech. Suranaree University of Technology,Nakhon Ratchasima,Thailand Limpijumnong, S. Suranaree U. of Tech. Suranaree University of Technology,Nakhon Ratchasima,Thailand Lin, G.L. ORCID:0000-0003-4802-5680 TUNL, Durham Taiwan, Natl. Chiao Tung U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of Physics,National Chiao-Tung University,Hsinchu Lin, S.X. Beijing, Inst. High Energy Phys. Dongguan University of Technology,Dongguan,China Lin, T. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Ling, J.J. ORCID:0000-0003-4802-5680 TUNL, Durham Zhongshan U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Sun Yat-Sen (Zhongshan) University,Guangzhou Lippi, I. INFN, Padua INFN Sezione di Padova,Padova,Italy Liu, F. North China Electric Power U., Beijing North China Electric Power University,Beijing Liu, H.D. Zhengzhou U. School of Physics and Microelectronics,Zhengzhou University,Zhengzhou,China Liu, H.B. Guangxi Coll. Nat. Guangxi University,Nanning,China Liu, H.J. U. South China, Hengyang The Radiochemistry and Nuclear Chemistry Group in University of South China,Hengyang,China Liu, H.T. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Liu, H. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Liu, H. ORCID:0000-0003-4802-5680 TUNL, Durham Hua-Zhong U. Sci. Tech. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Jinan University,Guangzhou,China Liu, J.L. ORCID:0000-0003-4802-5680 TUNL, Durham Shanghai Jiaotong U. Shanghai Jiao Tong U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 School of Physics and Astronomy,Shanghai Jiao Tong University,Shanghai,China Tsung-Dao Lee Institute,Shanghai Jiao Tong University,Shanghai,China Liu, J.C. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Liu, M. U. South China, Hengyang The Radiochemistry and Nuclear Chemistry Group in University of South China,Hengyang,China Liu, Q. Beijing, Inst. High Energy Phys. University of Chinese Academy of Sciences,Beijing,China Liu, Q. ORCID:0000-0003-4802-5680 TUNL, Durham Hefei, CUST Triangle Universities Nuclear Laboratory,Durham,NC 27708 University of Science and Technology of China,Hefei Liu, R.X. Julich, Forschungszentrum Aachen, Tech. Hochsch. Forschungszentrum Jülich GmbH,Nuclear Physics Institute IKP-2,Jülich,Germany III. Physikalisches Institut B,RWTH Aachen University,Aachen,Germany Liu, S.Y. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Liu, S.B. Hefei, CUST University of Science and Technology of China,Hefei Liu, S.L. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Liu, X.W. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Liu, X. Guangxi Coll. Nat. Guangxi University,Nanning,China Liu, Y. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Liu, Y. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Lokhov, A. Lomonosov Moscow State U. Lomonosov Moscow State University,Moscow,Russia Lombardi, P. Milan U. Gran Sasso INFN Sezione di Milano and Dipartimento di Fisica dell Universitàdi Milano,Milano,Italy Lombardo, C. Enrico Fermi Ctr., Rome INFN Catania and Centro Siciliano di Fisica Nucleare e Struttura della Materia,Catania,Italy Loo, K. Mainz U. Institute of Physics,Johannes-Gutenberg Universität Mainz,Mainz,Germany Lu, C. ORCID:0000-0003-4802-5680 TUNL, Durham Stanford U., Geo. Environ. Sci. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of Hydrogeology and Environmental Geology,Chinese Academy of Geological Sciences,Shijiazhuang,China Lu, H.Q. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Lu, J.B. Changchun, Northeast Normal U. Jilin University,Changchun,China Lu, J.G. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Lu, S.X. Zhengzhou U. School of Physics and Microelectronics,Zhengzhou University,Zhengzhou,China Lu, X.X. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Lubsandorzhiev, B. Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences,Moscow,Russia Lubsandorzhiev, S. Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences,Moscow,Russia Ludhova, L. Julich, Forschungszentrum Aachen, Tech. Hochsch. Forschungszentrum Jülich GmbH,Nuclear Physics Institute IKP-2,Jülich,Germany III. Physikalisches Institut B,RWTH Aachen University,Aachen,Germany Luo, F.J. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Luo, G. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Luo, P.W. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Luo, S. Xiamen U. Xiamen University,Xiamen,China Luo, W.M. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Lyashuk, V. Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences,Moscow,Russia Ma, Q.M. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Ma, S. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Ma, X.Y. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Ma, X.B. ORCID:0000-0003-4802-5680 TUNL, Durham North China Electric Power U., Beijing Triangle Universities Nuclear Laboratory,Durham,NC 27708 North China Electric Power University,Beijing Maalmi, J. IJCLab, Orsay IJCLab,UniversitéParis-Saclay,CNRS/IN2P3,91405 Orsay,France Malyshkin, Y. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Mantovani, F. Ferrara U. INFN, Ferrara Department of Physics and Earth Science,University of Ferrara and INFN Sezione di Ferrara,Ferrara,Italy Manzali, F. Padua U. Dipartimento di Fisica e Astronomia dell'Universita' di Padova and INFN Sezione di Padova,Padova,Italy Mao, X. Unlisted, CN Beijing Institute of Spacecraft Environment Engineering,Beijing,China Mao, Y.J. Peking U. School of Physics,Peking University,Beijing,China Mari, S.M. INFN, Rome3 Rome III U. University of Roma Tre and INFN Sezione Roma Tre,Roma,Italy Marini, F. Padua U. Dipartimento di Fisica e Astronomia dell'Universita' di Padova and INFN Sezione di Padova,Padova,Italy Marium, S. COMSATS, Islamabad Pakistan Institute of Nuclear Science and Technology,Islamabad,Pakistan Martellini, C. INFN, Rome3 Rome III U. University of Roma Tre and INFN Sezione Roma Tre,Roma,Italy Martin-Chassard, G. IJCLab, Orsay IJCLab,UniversitéParis-Saclay,CNRS/IN2P3,91405 Orsay,France Martini, A. Frascati Laboratori Nazionali di Frascati dell'INFN,Roma,Italy Mayilyan, D. Yerevan Phys. Inst. Yerevan Physics Institute,Yerevan,Armenia Müller, A. Tubingen U. Eberhard Karls Universität Tübingen,Physikalisches Institut,Tübingen,Germany Mednieks, I. Latvia U. Institute of Electronics and Computer Science,Riga,Latvia Meng, Y. ORCID:0000-0003-4802-5680 TUNL, Durham Shanghai Jiaotong U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 School of Physics and Astronomy,Shanghai Jiao Tong University,Shanghai,China Meregaglia, A. CENBG, Gradignan Universitéde Bordeaux,CNRS,CENBG-IN2P3,F-33170 Gradignan,France Meroni, E. Milan U. Gran Sasso INFN Sezione di Milano and Dipartimento di Fisica dell Universitàdi Milano,Milano,Italy Meyhöfer, D. Hamburg U. Institute of Experimental Physics,University of Hamburg,Hamburg,Germany Mezzetto, M. INFN, Padua INFN Sezione di Padova,Padova,Italy Miller, J. Santa Maria U., Valparaiso Universidad Tecnica Federico Santa Maria,Valparaiso,Chile Miramonti, L. Milan U. Gran Sasso INFN Sezione di Milano and Dipartimento di Fisica dell Universitàdi Milano,Milano,Italy Monforte, S. INFN, Catania Catania U. INFN Catania and Dipartimento di Fisica e Astronomia dell Universitàdi Catania,Catania,Italy Montini, P. INFN, Rome3 Rome III U. University of Roma Tre and INFN Sezione Roma Tre,Roma,Italy Montuschi, M. Ferrara U. INFN, Ferrara Department of Physics and Earth Science,University of Ferrara and INFN Sezione di Ferrara,Ferrara,Italy Morozov, N. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Muhammad, A. COMSATS, Islamabad Pakistan Institute of Nuclear Science and Technology,Islamabad,Pakistan Muralidharan, P. Julich, Forschungszentrum Forschungszentrum Jülich GmbH,Central Institute of Engineering,Electronics and Analytics - Electronic Systems(ZEA-2),Jülich,Germany Nastasi, M. INFN, Milan Milan Bicocca U. INFN Milano Bicocca and University of Milano Bicocca,Milano,Italy Naumov, D.V. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Naumova, E. ORCID:0000-0003-4802-5680 TUNL, Durham Dubna, JINR Triangle Universities Nuclear Laboratory,Durham,NC 27708 Joint Institute for Nuclear Research,Dubna,Moscow Region Nemchenok, I. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Ning, F.P. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Ning, Z. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Nunokawa, H. Rio de Janeiro, Pont. U. Catol. Pontificia Universidade Catolica do Rio de Janeiro,Rio,Brazil Oberauer, L. Munich, Tech. U. Technische Universität München,München,Germany Ochoa-Ricoux, J.P. ORCID:0000-0003-4802-5680 TUNL, Durham UC, Irvine Chile U., Catolica Triangle Universities Nuclear Laboratory,Durham,NC 27708 Department of Physics and Astronomy,University of California,Irvine,California 92697 Pontificia Universidad Católica de Chile,Santiago,Chile Olshevskiy, A. ORCID:0000-0003-4802-5680 TUNL, Durham Dubna, JINR Triangle Universities Nuclear Laboratory,Durham,NC 27708 Joint Institute for Nuclear Research,Dubna,Moscow Region Orestano, D. INFN, Rome3 Rome III U. University of Roma Tre and INFN Sezione Roma Tre,Roma,Italy Ortica, F. INFN, Perugia Perugia U. INFN Sezione di Perugia and Dipartimento di Chimica,Biologia e Biotecnologie dell'Universitàdi Perugia,Perugia,Italy Pan, H.R. Taiwan, Natl. Taiwan U. Department of Physics,National Taiwan University,Taipei Paoloni, A. Frascati Laboratori Nazionali di Frascati dell'INFN,Roma,Italy Parkalian, N. Julich, Forschungszentrum Forschungszentrum Jülich GmbH,Central Institute of Engineering,Electronics and Analytics - Electronic Systems(ZEA-2),Jülich,Germany Parmeggiano, S. Milan U. Gran Sasso INFN Sezione di Milano and Dipartimento di Fisica dell Universitàdi Milano,Milano,Italy Payupol, T. Chulalongkorn U. Department of Physics,Faculty of Science,Chulalongkorn University,Bangkok,Thailand Pei, Y. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Pelliccia, N. INFN, Perugia Perugia U. INFN Sezione di Perugia and Dipartimento di Chimica,Biologia e Biotecnologie dell'Universitàdi Perugia,Perugia,Italy Peng, A. U. South China, Hengyang The Radiochemistry and Nuclear Chemistry Group in University of South China,Hengyang,China Peng, H. Hefei, CUST University of Science and Technology of China,Hefei Perrot, F. CENBG, Gradignan Universitéde Bordeaux,CNRS,CENBG-IN2P3,F-33170 Gradignan,France Petitjean, P.A. Brussels U. UniversitéLibre de Bruxelles,Brussels,Belgium Petrucci, F. INFN, Rome3 Rome III U. University of Roma Tre and INFN Sezione Roma Tre,Roma,Italy Rico, L.F. Piñeres Strasbourg, IPHC Louis Pasteur U., Strasbourg I IPHC,Universitéde Strasbourg,CNRS/IN2P3,F-67037 Strasbourg,France Pilarczyk, O. Mainz U. Institute of Physics,Johannes-Gutenberg Universität Mainz,Mainz,Germany Popov, A. Lomonosov Moscow State U. Lomonosov Moscow State University,Moscow,Russia Poussot, P. Strasbourg, IPHC Louis Pasteur U., Strasbourg I IPHC,Universitéde Strasbourg,CNRS/IN2P3,F-67037 Strasbourg,France Pratumwan, W. Suranaree U. of Tech. Suranaree University of Technology,Nakhon Ratchasima,Thailand Previtali, E. INFN, Milan Milan Bicocca U. INFN Milano Bicocca and University of Milano Bicocca,Milano,Italy Qi, F. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Qi, M. ORCID:0000-0003-4802-5680 TUNL, Durham Nanjing U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Nanjing University,Nanjing Qian, S. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Qian, X.H. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Qiao, H. Peking U. School of Physics,Peking University,Beijing,China Qin, Z.H. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Qiu, S.K. U. South China, Hengyang The Radiochemistry and Nuclear Chemistry Group in University of South China,Hengyang,China Rajput, M. COMSATS, Islamabad Pakistan Institute of Nuclear Science and Technology,Islamabad,Pakistan Ranucci, G. Milan U. Gran Sasso INFN Sezione di Milano and Dipartimento di Fisica dell Universitàdi Milano,Milano,Italy Raper, N. ORCID:0000-0003-4802-5680 TUNL, Durham Zhongshan U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Sun Yat-Sen (Zhongshan) University,Guangzhou Re, A. Milan U. Gran Sasso INFN Sezione di Milano and Dipartimento di Fisica dell Universitàdi Milano,Milano,Italy Rebber, H. Hamburg U. Institute of Experimental Physics,University of Hamburg,Hamburg,Germany Rebii, A. CENBG, Gradignan Universitéde Bordeaux,CNRS,CENBG-IN2P3,F-33170 Gradignan,France Ren, B. Beijing, Inst. High Energy Phys. Dongguan University of Technology,Dongguan,China Ren, J. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. Atomic Energy Orsay, IPN Beijing, Inst. Theor. Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 China Institute of Atomic Energy,Beijing Rezinko, T. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Ricci, B. Ferrara U. INFN, Ferrara Department of Physics and Earth Science,University of Ferrara and INFN Sezione di Ferrara,Ferrara,Italy Robens, M. Julich, Forschungszentrum Forschungszentrum Jülich GmbH,Central Institute of Engineering,Electronics and Analytics - Electronic Systems(ZEA-2),Jülich,Germany Roche, M. CENBG, Gradignan Universitéde Bordeaux,CNRS,CENBG-IN2P3,F-33170 Gradignan,France Rodphai, N. Chulalongkorn U. Department of Physics,Faculty of Science,Chulalongkorn University,Bangkok,Thailand Romani, A. INFN, Perugia Perugia U. INFN Sezione di Perugia and Dipartimento di Chimica,Biologia e Biotecnologie dell'Universitàdi Perugia,Perugia,Italy Roskovec, B. ORCID:0000-0003-4802-5680 TUNL, Durham UC, Irvine Triangle Universities Nuclear Laboratory,Durham,NC 27708 Department of Physics and Astronomy,University of California,Irvine,California 92697 Roth, C. Julich, Forschungszentrum Forschungszentrum Jülich GmbH,Central Institute of Engineering,Electronics and Analytics - Electronic Systems(ZEA-2),Jülich,Germany Ruan, X. Guangxi Coll. Nat. Guangxi University,Nanning,China Ruan, X. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. Atomic Energy Orsay, IPN Beijing, Inst. Theor. Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 China Institute of Atomic Energy,Beijing Rujirawat, S. Suranaree U. of Tech. Suranaree University of Technology,Nakhon Ratchasima,Thailand Rybnikov, A. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Sadovsky, A. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Saggese, P. Milan U. Gran Sasso INFN Sezione di Milano and Dipartimento di Fisica dell Universitàdi Milano,Milano,Italy Salamanna, G. INFN, Rome3 Rome III U. University of Roma Tre and INFN Sezione Roma Tre,Roma,Italy Sanfilippo, S. INFN, Rome3 Rome III U. University of Roma Tre and INFN Sezione Roma Tre,Roma,Italy Sangka, A. Chiang Mai U. National Astronomical Research Institute of Thailand,Chiang Mai,Thailand Sanguansak, N. Suranaree U. of Tech. Suranaree University of Technology,Nakhon Ratchasima,Thailand Sawangwit, U. Chiang Mai U. National Astronomical Research Institute of Thailand,Chiang Mai,Thailand Sawatzki, J. Munich, Tech. U. Technische Universität München,München,Germany Sawy, F. Padua U. Dipartimento di Fisica e Astronomia dell'Universita' di Padova and INFN Sezione di Padova,Padova,Italy Schever, M. Julich, Forschungszentrum Aachen, Tech. Hochsch. Forschungszentrum Jülich GmbH,Nuclear Physics Institute IKP-2,Jülich,Germany III. Physikalisches Institut B,RWTH Aachen University,Aachen,Germany Schuler, J. Strasbourg, IPHC Louis Pasteur U., Strasbourg I IPHC,Universitéde Strasbourg,CNRS/IN2P3,F-67037 Strasbourg,France Schwab, C. Strasbourg, IPHC Louis Pasteur U., Strasbourg I IPHC,Universitéde Strasbourg,CNRS/IN2P3,F-67037 Strasbourg,France Schweizer, K. Munich, Tech. U. Technische Universität München,München,Germany Selivanov, D. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Selyunin, A. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Serafini, A. Ferrara U. INFN, Ferrara Department of Physics and Earth Science,University of Ferrara and INFN Sezione di Ferrara,Ferrara,Italy Settanta, G. Julich, Forschungszentrum Forschungszentrum Jülich GmbH,Nuclear Physics Institute IKP-2,Jülich,Germany Settimo, M. SUBATECH, Nantes SUBATECH,Universitéde Nantes,IMT Atlantique,CNRS-IN2P3,Nantes,France Shao, Z. Xian Jiaotong U. Xi'an Jiaotong University,Xi'an,China Sharov, V. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Shi, J. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Shutov, V. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Sidorenkov, A. Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences,Moscow,Russia Simkovic, F. Comenius U. Masaryk U., Brno Comenius University Bratislava,Faculty of Mathematics,Physics and Informatics,Bratislava,Slovakia Sirignano, C. Padua U. Dipartimento di Fisica e Astronomia dell'Universita' di Padova and INFN Sezione di Padova,Padova,Italy Siripak, J. Suranaree U. of Tech. Suranaree University of Technology,Nakhon Ratchasima,Thailand Sisti, M. INFN, Milan Milan Bicocca U. INFN Milano Bicocca and University of Milano Bicocca,Milano,Italy Slupecki, M. Jyvaskyla U. University of Jyvaskyla,Department of Physics,Jyvaskyla,Finland Smirnov, M. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Smirnov, O. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Sogo-Bezerra, T. SUBATECH, Nantes SUBATECH,Universitéde Nantes,IMT Atlantique,CNRS-IN2P3,Nantes,France Songwadhana, J. Suranaree U. of Tech. Suranaree University of Technology,Nakhon Ratchasima,Thailand Soonthornthum, B. Chiang Mai U. National Astronomical Research Institute of Thailand,Chiang Mai,Thailand Sotnikov, A. Dubna, JINR Joint Institute for Nuclear Research,Dubna,Moscow Region Sramek, O. Charles U. Charles University,Faculty of Mathematics and Physics,Prague Sreethawong, W. Suranaree U. of Tech. Suranaree University of Technology,Nakhon Ratchasima,Thailand Stahl, A. Aachen, Tech. Hochsch. III. Physikalisches Institut B,RWTH Aachen University,Aachen,Germany Stanco, L. INFN, Padua INFN Sezione di Padova,Padova,Italy Stankevich, K. Lomonosov Moscow State U. Lomonosov Moscow State University,Moscow,Russia Stefanik, D. Comenius U. Masaryk U., Brno Comenius University Bratislava,Faculty of Mathematics,Physics and Informatics,Bratislava,Slovakia Steiger, H. Munich, Tech. U. Technische Universität München,München,Germany Steinmann, J. Aachen, Tech. Hochsch. III. Physikalisches Institut B,RWTH Aachen University,Aachen,Germany Sterr, T. Tubingen U. Eberhard Karls Universität Tübingen,Physikalisches Institut,Tübingen,Germany Stock, M.R. Munich, Tech. U. Technische Universität München,München,Germany Strati, V. Ferrara U. INFN, Ferrara Department of Physics and Earth Science,University of Ferrara and INFN Sezione di Ferrara,Ferrara,Italy Studenikin, A. Lomonosov Moscow State U. Lomonosov Moscow State University,Moscow,Russia Sun, G.X. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Sun, S.F. North China Electric Power U., Beijing North China Electric Power University,Beijing Sun, X.L. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Sun, Y.J. Hefei, CUST University of Science and Technology of China,Hefei Sun, Y.Z. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Suwonjandee, N. Chulalongkorn U. Department of Physics,Faculty of Science,Chulalongkorn University,Bangkok,Thailand Szelezniak, M. Strasbourg, IPHC Louis Pasteur U., Strasbourg I IPHC,Universitéde Strasbourg,CNRS/IN2P3,F-67037 Strasbourg,France Tang, J. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Tang, Q. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Tang, Q. ORCID:0000-0003-4802-5680 TUNL, Durham U. South China, Hengyang Triangle Universities Nuclear Laboratory,Durham,NC 27708 The Radiochemistry and Nuclear Chemistry Group in University of South China,Hengyang,China Tang, X. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Tietzsch, A. Tubingen U. Eberhard Karls Universität Tübingen,Physikalisches Institut,Tübingen,Germany Tkachev, I. Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences,Moscow,Russia Tmej, T. ORCID:0000-0003-4802-5680 TUNL, Durham Charles U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Charles University,Faculty of Mathematics and Physics,Prague Treskov, K. ORCID:0000-0003-4802-5680 TUNL, Durham Dubna, JINR Triangle Universities Nuclear Laboratory,Durham,NC 27708 Joint Institute for Nuclear Research,Dubna,Moscow Region Triossi, A. Strasbourg, IPHC Louis Pasteur U., Strasbourg I IPHC,Universitéde Strasbourg,CNRS/IN2P3,F-67037 Strasbourg,France Troni, G. Chile U., Catolica Pontificia Universidad Católica de Chile,Santiago,Chile Trzaska, W. Jyvaskyla U. University of Jyvaskyla,Department of Physics,Jyvaskyla,Finland Tuve, C. INFN, Catania Catania U. INFN Catania and Dipartimento di Fisica e Astronomia dell Universitàdi Catania,Catania,Italy Ushakov, N. Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences,Moscow,Russia van Waasen, S. Julich, Forschungszentrum Forschungszentrum Jülich GmbH,Central Institute of Engineering,Electronics and Analytics - Electronic Systems(ZEA-2),Jülich,Germany Boom, J.Vanden Julich, Forschungszentrum Forschungszentrum Jülich GmbH,Central Institute of Engineering,Electronics and Analytics - Electronic Systems(ZEA-2),Jülich,Germany Vanroyen, G. SUBATECH, Nantes SUBATECH,Universitéde Nantes,IMT Atlantique,CNRS-IN2P3,Nantes,France Vassilopoulos, N. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Vedin, V. Latvia U. Institute of Electronics and Computer Science,Riga,Latvia Verde, G. INFN, Catania Catania U. INFN Catania and Dipartimento di Fisica e Astronomia dell Universitàdi Catania,Catania,Italy Vialkov, M. Lomonosov Moscow State U. Lomonosov Moscow State University,Moscow,Russia Viaud, B. SUBATECH, Nantes SUBATECH,Universitéde Nantes,IMT Atlantique,CNRS-IN2P3,Nantes,France Volpe, C. IJCLab, Orsay IJCLab,UniversitéParis-Saclay,CNRS/IN2P3,91405 Orsay,France Vorobel, V. ORCID:0000-0003-4802-5680 TUNL, Durham Charles U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Charles University,Faculty of Mathematics and Physics,Prague Voronin, D. Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences,Moscow,Russia Votano, L. Frascati Laboratori Nazionali di Frascati dell'INFN,Roma,Italy Walker, P. Chile U., Catolica Pontificia Universidad Católica de Chile,Santiago,Chile Wang, C. Beijing, Inst. High Energy Phys. Dongguan University of Technology,Dongguan,China Wang, C.H. ORCID:0000-0003-4802-5680 TUNL, Durham Natl. United U., Taiwan Triangle Universities Nuclear Laboratory,Durham,NC 27708 National United University,Miao-Li Wang, E. Zhengzhou U. School of Physics and Microelectronics,Zhengzhou University,Zhengzhou,China Wang, G. Harbin Inst. Tech. Harbin Institute of Technology,Harbin,China Wang, J. ORCID:0000-0003-4802-5680 TUNL, Durham Zhongshan U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Sun Yat-Sen (Zhongshan) University,Guangzhou Wang, K.Y. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Wang, L. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Wang, M.F. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Wang, M. ORCID:0000-0003-4802-5680 TUNL, Durham U. South China, Hengyang Triangle Universities Nuclear Laboratory,Durham,NC 27708 The Radiochemistry and Nuclear Chemistry Group in University of South China,Hengyang,China Wang, R.G. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Wang, S.G. Peking U. School of Physics,Peking University,Beijing,China Wang, W.S. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Wang, X. ORCID:0000-0003-4802-5680 TUNL, Durham Natl. U. Defense Tech., Hunan Triangle Universities Nuclear Laboratory,Durham,NC 27708 College of Electronic Science and Engineering,National University of Defense Technology,Changsha Wang, X.Y. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Wang, Y.F. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Wang, Y.G. WUT, Wuhan Wuhan University,Wuhan,China Wang, Y. ORCID:0000-0003-4802-5680 TUNL, Durham Nanjing U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Nanjing University,Nanjing Wang, Y.Q. Taiwan, Natl. Tsing Hua U. Tsinghua University,Beijing,China Wang, Z.M. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Wang, Z.Y. Taiwan, Natl. Tsing Hua U. Tsinghua University,Beijing,China Waqas, M. COMSATS, Islamabad Pakistan Institute of Nuclear Science and Technology,Islamabad,Pakistan Watcharangkool, A. Chiang Mai U. National Astronomical Research Institute of Thailand,Chiang Mai,Thailand Wei, L.H. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Wei, W. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Wei, Y.D. Beijing, Inst. High Energy Phys. Dongguan University of Technology,Dongguan,China Wen, L.J. Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Wiebusch, C. Aachen, Tech. Hochsch. III. Physikalisches Institut B,RWTH Aachen University,Aachen,Germany Wong, S.C.F. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Wonsak, B. Hamburg U. Institute of Experimental Physics,University of Hamburg,Hamburg,Germany Wu, D. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Wu, F.L. ORCID:0000-0003-4802-5680 TUNL, Durham Nanjing U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Nanjing University,Nanjing Wu, Q. ORCID:0000-0003-4802-5680 TUNL, Durham Shandong U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Shandong University,Jinan Wu, W.J. ORCID:0000-0003-4802-5680 TUNL, Durham WUT, Wuhan Triangle Universities Nuclear Laboratory,Durham,NC 27708 Wuhan University,Wuhan,China Wu, Z. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Wurm, M. Mainz U. Institute of Physics,Johannes-Gutenberg Universität Mainz,Mainz,Germany Wurtz, J. Strasbourg, IPHC Louis Pasteur U., Strasbourg I IPHC,Universitéde Strasbourg,CNRS/IN2P3,F-67037 Strasbourg,France Wysotzki, C. Aachen, Tech. Hochsch. III. Physikalisches Institut B,RWTH Aachen University,Aachen,Germany Xi, Y.F. Stanford U., Geo. Environ. Sci. Institute of Hydrogeology and Environmental Geology,Chinese Academy of Geological Sciences,Shijiazhuang,China Xia, D.M. ORCID:0000-0003-4802-5680 TUNL, Durham Chongqing U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Chongqing University,Chongqing Xie, Y.G. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Xie, Z.Q. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Xing, Z.Z. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Xu, B. Taiwan, Natl. Tsing Hua U. Tsinghua University,Beijing,China Xu, C. U. South China, Hengyang The Radiochemistry and Nuclear Chemistry Group in University of South China,Hengyang,China Xu, D.L. Shanghai Jiao Tong U. Shanghai Jiaotong U. Tsung-Dao Lee Institute,Shanghai Jiao Tong University,Shanghai,China School of Physics and Astronomy,Shanghai Jiao Tong University,Shanghai,China Xu, F.R. Hua-Zhong U. Sci. Tech. Jinan University,Guangzhou,China Xu, H.K. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Xu, J.L. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Xu, J. ORCID:0000-0003-4802-5680 Beijing Normal U. Beijing Normal University,Beijing Xu, M.H. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Xu, Y. Nankai U. School of Physics,Nankai University,Tianjin Xu, Y. ORCID:0000-0003-4802-5680 TUNL, Durham Julich, Forschungszentrum Aachen, Tech. Hochsch. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Forschungszentrum Jülich GmbH,Nuclear Physics Institute IKP-2,Jülich,Germany III. Physikalisches Institut B,RWTH Aachen University,Aachen,Germany Yan, B.J. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Yan, T. Suranaree U. of Tech. Suranaree University of Technology,Nakhon Ratchasima,Thailand Yan, W.Q. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Yan, X.B. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Yan, Y.P. Suranaree U. of Tech. Suranaree University of Technology,Nakhon Ratchasima,Thailand Yang, A.B. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Yang, C.G. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Yang, H. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Yang, J. Zhengzhou U. School of Physics and Microelectronics,Zhengzhou University,Zhengzhou,China Yang, L. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Dongguan University of Technology,Dongguan,China Yang, X.Y. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Yang, Y.. Brussels U. UniversitéLibre de Bruxelles,Brussels,Belgium Yang, Y.F. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Yao, H.F. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Yasin, Z. COMSATS, Islamabad Pakistan Institute of Nuclear Science and Technology,Islamabad,Pakistan Ye, J.X. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Ye, M. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Ye, Z.P. Shanghai Jiao Tong U. Tsung-Dao Lee Institute,Shanghai Jiao Tong University,Shanghai,China Yegin, U. Julich, Forschungszentrum Forschungszentrum Jülich GmbH,Central Institute of Engineering,Electronics and Analytics - Electronic Systems(ZEA-2),Jülich,Germany Yermia, F. SUBATECH, Nantes SUBATECH,Universitéde Nantes,IMT Atlantique,CNRS-IN2P3,Nantes,France Yi, P.H. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Yin, X.W. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing You, Z.Y. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Yu, B.X. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Yu, C.Y. Beijing, Inst. High Energy Phys. Dongguan University of Technology,Dongguan,China Yu, C.X. Nankai U. School of Physics,Nankai University,Tianjin Yu, H.Z. ORCID:0000-0003-4802-5680 TUNL, Durham Zhongshan U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Sun Yat-Sen (Zhongshan) University,Guangzhou Yu, M. WUT, Wuhan Wuhan University,Wuhan,China Yu, X.H. Nankai U. School of Physics,Nankai University,Tianjin Yu, Z.Y. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Yuan, C.Z. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Yuan, Y. Peking U. School of Physics,Peking University,Beijing,China Yuan, Z.X. Taiwan, Natl. Tsing Hua U. Tsinghua University,Beijing,China Yuan, Z.Y. WUT, Wuhan Wuhan University,Wuhan,China Yue, B.B. ORCID:0000-0003-4802-5680 TUNL, Durham Zhongshan U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Sun Yat-Sen (Zhongshan) University,Guangzhou Zafar, N. COMSATS, Islamabad Pakistan Institute of Nuclear Science and Technology,Islamabad,Pakistan Zambanini, A. Julich, Forschungszentrum Forschungszentrum Jülich GmbH,Central Institute of Engineering,Electronics and Analytics - Electronic Systems(ZEA-2),Jülich,Germany Zeng, S. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Zeng, T.X. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Zeng, Y.D. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Zhan, L. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Zhang, F.Y. ORCID:0000-0003-4802-5680 TUNL, Durham Shanghai Jiaotong U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 School of Physics and Astronomy,Shanghai Jiao Tong University,Shanghai,China Zhang, G.Q. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Zhang, H.Q. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Zhang, H.H. ORCID:0000-0003-4802-5680 TUNL, Durham Zhongshan U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Sun Yat-Sen (Zhongshan) University,Guangzhou Zhang, J.W. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Zhang, J. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Zhang, J.B. Harbin Inst. Tech. Harbin Institute of Technology,Harbin,China Zhang, J. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Zhang, P. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Zhang, Q.M. ORCID:0000-0003-4802-5680 TUNL, Durham Xian Jiaotong U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Xi'an Jiaotong University,Xi'an,China Zhang, S. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Zhang, S. ORCID:0000-0003-4802-5680 TUNL, Durham Zhongshan U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Sun Yat-Sen (Zhongshan) University,Guangzhou Zhang, T. Shanghai Jiaotong U. School of Physics and Astronomy,Shanghai Jiao Tong University,Shanghai,China Zhang, X.M. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Zhang, X.T. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Zhang, Y. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Zhang, Y.H. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Zhang, Y.Y. ORCID:0000-0003-4802-5680 TUNL, Durham Shanghai Jiaotong U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 School of Physics and Astronomy,Shanghai Jiao Tong University,Shanghai,China Zhang, Y.P. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Zhang, Y.M. ORCID:0000-0003-4802-5680 TUNL, Durham Zhongshan U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Sun Yat-Sen (Zhongshan) University,Guangzhou Zhang, Z.Y. ORCID:0000-0003-4802-5680 TUNL, Durham WUT, Wuhan Triangle Universities Nuclear Laboratory,Durham,NC 27708 Wuhan University,Wuhan,China Zhang, Z.J. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Dongguan University of Technology,Dongguan,China Zhao, F.Y. Lanzhou, Inst. Modern Phys. Institute of Modern Physics,Chinese Academy of Sciences,Lanzhou,China Zhao, J. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Zhao, R. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Zhao, S.J. Zhengzhou U. School of Physics and Microelectronics,Zhengzhou University,Zhengzhou,China Zhao, T.C. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Zheng, D.Q. Hua-Zhong U. Sci. Tech. Jinan University,Guangzhou,China Zheng, H. Beijing, Inst. High Energy Phys. Dongguan University of Technology,Dongguan,China Zheng, M.S. Beijing, Inst. Atomic Energy Orsay, IPN Beijing, Inst. Theor. Phys. China Institute of Atomic Energy,Beijing Zheng, Y.H. Beijing, Inst. High Energy Phys. University of Chinese Academy of Sciences,Beijing,China Zhong, W.R. Hua-Zhong U. Sci. Tech. Jinan University,Guangzhou,China Zhou, J. Beijing, Inst. Atomic Energy Orsay, IPN Beijing, Inst. Theor. Phys. China Institute of Atomic Energy,Beijing Zhou, L. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Zhou, N. Hefei, CUST University of Science and Technology of China,Hefei Zhou, S. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Zhou, X. WUT, Wuhan Wuhan University,Wuhan,China Zhu, J. Zhongshan U. Sun Yat-Sen (Zhongshan) University,Guangzhou Zhu, K.J. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Zhuang, B. Beijing, Inst. High Energy Phys. Institute of High Energy Physics,Beijing Zhuang, H.L. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Zong, L. Taiwan, Natl. Tsing Hua U. Tsinghua University,Beijing,China Zou, J.H. ORCID:0000-0003-4802-5680 TUNL, Durham Beijing, Inst. High Energy Phys. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute of High Energy Physics,Beijing Rasco, B.C. Oak Ridge Physics Division,Oak Ridge National Laboratory,Oak Ridge,TN,USA Han, B.Y. KAERI, Taejon Neutron Science Division,Korea Atomic Energy Research Institute,Deajeon,34057,Korea Jeon, E.J. IBS, Daejeon, CUP Center for Underground Physics,Institute for Basic Science (IBS),Daejeon,34126,Korea Jeong, Y. Chung-Ang U. Department of Physics,Chung-Ang University,Seoul,06974,Korea Jo, H.S. Kyungpook Natl. U. Department of Physics,Kyungpook National University,Daegu 41566,Korea Kim, D.K. Kyungpook Natl. U. Department of Physics,Kyungpook National University,Daegu 41566,Korea Kim, J.Y. Sejong U. Department of Physics and Astronomy,Sejong University,Seoul,05006,Korea Kim, J.G. Sungkyunkwan U. Department of Physics,Sungkyunkwan University,Suwon 16419,Korea Kim, Y.D. IBS, Daejeon, CUP Sejong U. UST, Daejeon Center for Underground Physics,Institute for Basic Science (IBS),Daejeon,34126,Korea Department of Physics and Astronomy,Sejong University,Seoul,05006,Korea IBS School,University of Science and Technology (UST),Daejeon,34113,Korea Ko, Y.J. IBS, Daejeon, CUP Center for Underground Physics,Institute for Basic Science (IBS),Daejeon,34126,Korea Lee, H.M. KAERI, Taejon Neutron Science Division,Korea Atomic Energy Research Institute,Deajeon,34057,Korea Lee, M.H. IBS, Daejeon, CUP UST, Daejeon Center for Underground Physics,Institute for Basic Science (IBS),Daejeon,34126,Korea IBS School,University of Science and Technology (UST),Daejeon,34113,Korea Lee, J. ORCID:0000-0003-4802-5680 TUNL, Durham IBS, Daejeon, CUP Triangle Universities Nuclear Laboratory,Durham,NC 27708 Center for Underground Physics,Institute for Basic Science (IBS),Daejeon,34126,Korea Moon, C.S. Kyungpook Natl. U. Department of Physics,Kyungpook National University,Daegu 41566,Korea Oh, Y.M. IBS, Daejeon, CUP Center for Underground Physics,Institute for Basic Science (IBS),Daejeon,34126,Korea Park, H.K. Korea U. Department of Accelerator Science,Korea University,Sejong,30019,Korea Park, K.S. IBS, Daejeon, CUP Center for Underground Physics,Institute for Basic Science (IBS),Daejeon,34126,Korea Seo, S.H. IBS, Daejeon, CUP Center for Underground Physics,Institute for Basic Science (IBS),Daejeon,34126,Korea Siyeon, K. Chung-Ang U. Department of Physics,Chung-Ang University,Seoul,06974,Korea Sun, G.M. KAERI, Taejon Neutron Science Division,Korea Atomic Energy Research Institute,Deajeon,34057,Korea Yoon, Y.S. KRISS, Taejon Center for Ionizing Radiation,Korea Research Institute of Standards and Science,Daejeon,34113,Korea Yu, I. Sungkyunkwan U. Department of Physics,Sungkyunkwan University,Suwon 16419,Korea Borusinski, M.J. Hawaii U. Department of Physics Astronomy,University of Hawaii,Honolulu,HI,USA Dorrill, R. Hawaii U. Department of Physics Astronomy,University of Hawaii,Honolulu,HI,USA Druetzler, A. Hawaii U. Department of Physics Astronomy,University of Hawaii,Honolulu,HI,USA Learned, J. Hawaii U. Department of Physics Astronomy,University of Hawaii,Honolulu,HI,USA Li, V. LLNL, Livermore Nuclear and Chemical Sciences Division,Lawrence Livermore National Laboratory,Livermore,CA,USA Markoff, D. North Carolina Central U. North Carolina Central University,Durham,NC,USA Maricic, J. Hawaii U. Department of Physics Astronomy,University of Hawaii,Honolulu,HI,USA Matsuno, S. Hawaii U. Department of Physics Astronomy,University of Hawaii,Honolulu,HI,USA Mumm, H.P. NIST, Wash., D.C. National Institute of Standards and Technology,Gaithersburg,MD,USA Nishimura, K. Hawaii U. Department of Physics Astronomy,University of Hawaii,Honolulu,HI,USA Irani, A. Virginia Tech. Virginia Tech,Blacksburg,VA,USA Pitt, M. Virginia Tech. Virginia Tech,Blacksburg,VA,USA Rasco, C. Oak Ridge Oak Ridge National Laboratory,Oak Ridge,TN,USA Thibodeau, B. Virginia Tech. Virginia Tech,Blacksburg,VA,USA Varner, G. Hawaii U. Department of Physics Astronomy,University of Hawaii,Honolulu,HI,USA Vogelaar, B. Virginia Tech. Virginia Tech,Blacksburg,VA,USA Wright, T. Virginia Tech. Virginia Tech,Blacksburg,VA,USA Andriamirado, M. IIT, Chicago Department of Physics,Illinois Institute of Technology,Chicago,IL,USA Balantekin, A.B. ORCID:0000-0003-4802-5680 TUNL, Durham Wisconsin U., Madison Triangle Universities Nuclear Laboratory,Durham,NC 27708 University of Wisconsin,Madison,Wisconsin 53706 Band, H.R. ORCID:0000-0003-4802-5680 TUNL, Durham Yale U., Dept. Astron. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Wright Laboratory,Department of Physics,Yale University,New Haven,CT,USA Bass, C.D. Le Moyne Coll. Department of Physics,Le Moyne College,Syracuse,NY,USA Bergeron, D.E. NIST, Wash., D.C. National Institute of Standards and Technology,Gaithersburg,MD,USA Berish, D. Temple U. Department of Physics,College of Science and Technology,Temple University,Philadelphia,Pennsylvania 19122 Brodsky, J.P. LLNL, Livermore Nuclear and Chemical Sciences Division,Lawrence Livermore National Laboratory,Livermore,CA,USA Bryan, C.D. Oak Ridge High Flux Isotope Reactor,Oak Ridge National Laboratory,Oak Ridge,TN,USA Classen, T. LLNL, Livermore Nuclear and Chemical Sciences Division,Lawrence Livermore National Laboratory,Livermore,CA,USA Deichert, G. Oak Ridge High Flux Isotope Reactor,Oak Ridge National Laboratory,Oak Ridge,TN,USA Diwan, M.V. ORCID:0000-0003-4802-5680 TUNL, Durham Brookhaven Natl. Lab. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Brookhaven National Laboratory,Upton,NY,USA Dolinski, M.J. Drexel U. Department of Physics,Drexel University,Philadelphia,PA,USA Erickson, A. Georgia Tech George W. Woodruff School of Mechanical Engineering,Georgia Institute of Technology,Atlanta,GA USA Foust, B.T. Yale U., Dept. Astron. Wright Laboratory,Department of Physics,Yale University,New Haven,CT,USA Gaison, J.K. Yale U., Dept. Astron. Wright Laboratory,Department of Physics,Yale University,New Haven,CT,USA Galindo-Uribarri, A. Oak Ridge Tennessee U. Physics Division,Oak Ridge National Laboratory,Oak Ridge,TN,USA Department of Physics and Astronomy,University of Tennessee,Knoxville,TN,USA Gilbert, C.E. Oak Ridge Tennessee U. Physics Division,Oak Ridge National Laboratory,Oak Ridge,TN,USA Department of Physics and Astronomy,University of Tennessee,Knoxville,TN,USA Grant, C. Boston U. Department of Physics,Boston University,Boston,MA,USA Hackett, B.T. Oak Ridge Tennessee U. Physics Division,Oak Ridge National Laboratory,Oak Ridge,TN,USA Department of Physics and Astronomy,University of Tennessee,Knoxville,TN,USA Hans, S. ORCID:0000-0003-4802-5680 TUNL, Durham Brookhaven Natl. Lab. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Brookhaven National Laboratory,Upton,NY,USA Hansell, A.B. Temple U. Department of Physics,College of Science and Technology,Temple University,Philadelphia,Pennsylvania 19122 Heeger, K.M. ORCID:0000-0003-4802-5680 TUNL, Durham Yale U., Dept. Astron. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Wright Laboratory,Department of Physics,Yale University,New Haven,CT,USA Jaffe, D.E. ORCID:0000-0003-4802-5680 TUNL, Durham Brookhaven Natl. Lab. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Brookhaven National Laboratory,Upton,NY,USA Ji, X. Brookhaven Natl. Lab. Brookhaven National Laboratory,Upton,NY,USA Jones, D.C. Temple U. Department of Physics,College of Science and Technology,Temple University,Philadelphia,Pennsylvania 19122 Kyzylova, O. Drexel U. Department of Physics,Drexel University,Philadelphia,PA,USA Lane, C.E. Drexel U. Department of Physics,Drexel University,Philadelphia,PA,USA Langford, T.J. ORCID:0000-0003-4802-5680 TUNL, Durham Yale U., Dept. Astron. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Wright Laboratory,Department of Physics,Yale University,New Haven,CT,USA LaRosa, J. NIST, Wash., D.C. National Institute of Standards and Technology,Gaithersburg,MD,USA Littlejohn, B.R. ORCID:0000-0003-4802-5680 TUNL, Durham IIT, Chicago Triangle Universities Nuclear Laboratory,Durham,NC 27708 Department of Physics,Illinois Institute of Technology,Chicago,IL,USA Lu, X. Oak Ridge Tennessee U. Physics Division,Oak Ridge National Laboratory,Oak Ridge,TN,USA Department of Physics and Astronomy,University of Tennessee,Knoxville,TN,USA Maricic, J. ORCID:0000-0003-4802-5680 TUNL, Durham Hawaii U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 University of Hawai‘i at M ̄anoa,Honolulu,Hawai‘i 96822,USA Mendenhall, M.P. LLNL, Livermore Nuclear and Chemical Sciences Division,Lawrence Livermore National Laboratory,Livermore,CA,USA Meyer, A.M. Hawaii U. Department of Physics Astronomy,University of Hawaii,Honolulu,HI,USA Milincic, R. Hawaii U. Department of Physics Astronomy,University of Hawaii,Honolulu,HI,USA Mitchell, I. Hawaii U. Department of Physics Astronomy,University of Hawaii,Honolulu,HI,USA Mueller, P.E. Oak Ridge Physics Division,Oak Ridge National Laboratory,Oak Ridge,TN,USA Mumm, H.P. ORCID:0000-0003-4802-5680 TUNL, Durham NIST, Wash., D.C. Triangle Universities Nuclear Laboratory,Durham,NC 27708 National Institute of Standards and Technology,Gaithersburg,MD,USA Napolitano, J. ORCID:0000-0003-4802-5680 TUNL, Durham Temple U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Department of Physics,College of Science and Technology,Temple University,Philadelphia,Pennsylvania 19122 Nave, C. Drexel U. Department of Physics,Drexel University,Philadelphia,PA,USA Neilson, R. Drexel U. Department of Physics,Drexel University,Philadelphia,PA,USA Nikkel, J.A. Yale U., Dept. Astron. Wright Laboratory,Department of Physics,Yale University,New Haven,CT,USA Norcini, D. Yale U., Dept. Astron. Wright Laboratory,Department of Physics,Yale University,New Haven,CT,USA Nour, S. NIST, Wash., D.C. National Institute of Standards and Technology,Gaithersburg,MD,USA Palomino, J.L. IIT, Chicago Department of Physics,Illinois Institute of Technology,Chicago,IL,USA Pushin, D.A. Waterloo U., IQC Institute for Quantum Computing and Department of Physics and Astronomy,University of Waterloo,Waterloo,ON,Canada Qian, X. ORCID:0000-0003-4802-5680 TUNL, Durham Brookhaven Natl. Lab. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Brookhaven National Laboratory,Upton,NY,USA Romero-Romero, E. Oak Ridge Tennessee U. Physics Division,Oak Ridge National Laboratory,Oak Ridge,TN,USA Department of Physics and Astronomy,University of Tennessee,Knoxville,TN,USA Rosero, R. ORCID:0000-0003-4802-5680 TUNL, Durham Brookhaven Natl. Lab. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Brookhaven National Laboratory,Upton,NY,USA Surukuchi, P.T. Yale U., Dept. Astron. Wright Laboratory,Department of Physics,Yale University,New Haven,CT,USA Tyra, M.A. NIST, Wash., D.C. National Institute of Standards and Technology,Gaithersburg,MD,USA Varner, R.L. Oak Ridge Physics Division,Oak Ridge National Laboratory,Oak Ridge,TN,USA Venegas-Vargas, D. Oak Ridge Tennessee U. Physics Division,Oak Ridge National Laboratory,Oak Ridge,TN,USA Department of Physics and Astronomy,University of Tennessee,Knoxville,TN,USA Weatherly, P.B. Drexel U. Department of Physics,Drexel University,Philadelphia,PA,USA White, C. IIT, Chicago Department of Physics,Illinois Institute of Technology,Chicago,IL,USA Wilhelmi, J. Yale U., Dept. Astron. Wright Laboratory,Department of Physics,Yale University,New Haven,CT,USA Woolverton, A. Waterloo U., IQC Institute for Quantum Computing and Department of Physics and Astronomy,University of Waterloo,Waterloo,ON,Canada Yeh, M. ORCID:0000-0003-4802-5680 TUNL, Durham Brookhaven Natl. Lab. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Brookhaven National Laboratory,Upton,NY,USA Zhang, A. Brookhaven Natl. Lab. Brookhaven National Laboratory,Upton,NY,USA Zhang, C. ORCID:0000-0003-4802-5680 TUNL, Durham Brookhaven Natl. Lab. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Brookhaven National Laboratory,Upton,NY,USA Choi, J.H. Dongshin U. Institute for High Energy Physics,Dongshin University,Naju 58245,Korea Jang, H.I. Chonnam Natl. U. Department of Fire Safety,Seoyeong University,Gwangju 61268,Korea Jang, J.S. GIST, Gwangju GIST College,Gwangju Institute of Science and Technology,Gwangju 61005,Korea Jeon, S.H. Sungkyunkwan U. Department of Physics,Sungkyunkwan University,Suwon 16419,Korea Joo, K.K. Chonnam Natl. U. Institute for Universe and Elementary Particles,Chonnam National University,Gwangju 61186,Korea Ju, K. KAIST, Taejon Department of Physics,KAIST,Daejeon 34141,Korea Jung, D.E. Sungkyunkwan U. Department of Physics,Sungkyunkwan University,Suwon 16419,Korea Kim, J.G. ORCID:0000-0003-4802-5680 TUNL, Durham Sungkyunkwan U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Department of Physics,Sungkyunkwan University,Suwon 16419,Korea Kim, J.H. Sungkyunkwan U. Department of Physics,Sungkyunkwan University,Suwon 16419,Korea Kim, J.Y. ORCID:0000-0003-4802-5680 TUNL, Durham Chonnam Natl. U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institute for Universe and Elementary Particles,Chonnam National University,Gwangju 61186,Korea Kim, S.B. Sungkyunkwan U. Department of Physics,Sungkyunkwan University,Suwon 16419,Korea Kim, S.Y. Seoul Natl. U., Dept. Phys. Astron. Department of Physics and Astronomy,Seoul National University,Seoul 08826,Korea Kim, W. Kyungpook Natl. U. Department of Physics,Kyungpook National University,Daegu 41566,Korea Kwon, E. Sungkyunkwan U. Department of Physics,Sungkyunkwan University,Suwon 16419,Korea Lee, D.H. Sungkyunkwan U. Department of Physics,Sungkyunkwan University,Suwon 16419,Korea Lee, H.G. Seoul Natl. U., Dept. Phys. Astron. Department of Physics and Astronomy,Seoul National University,Seoul 08826,Korea Lim, I.T. Chonnam Natl. U. Institute for Universe and Elementary Particles,Chonnam National University,Gwangju 61186,Korea Moon, D.H. Chonnam Natl. U. Institute for Universe and Elementary Particles,Chonnam National University,Gwangju 61186,Korea Pac, M.Y. Dongshin U. Institute for High Energy Physics,Dongshin University,Naju 58245,Korea Seo, H. Seoul Natl. U., Dept. Phys. Astron. Department of Physics and Astronomy,Seoul National University,Seoul 08826,Korea Seo, J.W. Sungkyunkwan U. Department of Physics,Sungkyunkwan University,Suwon 16419,Korea Shin, C.D. Chonnam Natl. U. Institute for Universe and Elementary Particles,Chonnam National University,Gwangju 61186,Korea Yang, B.S. IBS, Daejeon Institute for Basic Science,Daejeon 34047,Korea Yoo, J. IBS, Daejeon KAIST, Taejon Institute for Basic Science,Daejeon 34047,Korea Department of Physics,KAIST,Daejeon 34141,Korea Yoon, S.G. KAIST, Taejon Department of Physics,KAIST,Daejeon 34141,Korea Yeo, I.S. Chonnam Natl. U. Institute for Universe and Elementary Particles,Chonnam National University,Gwangju 61186,Korea Yu, I. ORCID:0000-0003-4802-5680 TUNL, Durham Sungkyunkwan U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Department of Physics,Sungkyunkwan University,Suwon 16419,Korea Chang, C. Argonne (main) Argonne National Laboratory,USA Bergé, L. CSNSM, Orsay Centre de Sciences Nucléaires et de Sciences de la Matière (CSNSM),France Broniatowski, A. CSNSM, Orsay Centre de Sciences Nucléaires et de Sciences de la Matière (CSNSM),France Dumoulin, L. CSNSM, Orsay Centre de Sciences Nucléaires et de Sciences de la Matière (CSNSM),France Giuliani, A. CSNSM, Orsay Centre de Sciences Nucléaires et de Sciences de la Matière (CSNSM),France Chapellier, M. CSNSM, Orsay Centre de Sciences Nucléaires et de Sciences de la Matière (CSNSM),France De Marcillac, P. CSNSM, Orsay Centre de Sciences Nucléaires et de Sciences de la Matière (CSNSM),France Marnieros, S. CSNSM, Orsay Centre de Sciences Nucléaires et de Sciences de la Matière (CSNSM),France Olivieri, E. CSNSM, Orsay Centre de Sciences Nucléaires et de Sciences de la Matière (CSNSM),France Poda, D. CSNSM, Orsay Centre de Sciences Nucléaires et de Sciences de la Matière (CSNSM),France Calvo, M. Neel Lab, Grenoble Institut Neel PI at Neel Institute Grenoble,France Goupy, J. Neel Lab, Grenoble Institut Neel PI at Neel Institute Grenoble,France Monfardini, A. Neel Lab, Grenoble Institut Neel PI at Neel Institute Grenoble,France Arnaud, Q. IP2I, Lyon Institut de Physique Nucléaire de Lyon (IPNL),France Augier, C. IP2I, Lyon Institut de Physique Nucléaire de Lyon (IPNL),France Billard, J. IP2I, Lyon Institut de Physique Nucléaire de Lyon (IPNL),France Cazes, A. IP2I, Lyon Institut de Physique Nucléaire de Lyon (IPNL),France Colas, J. IP2I, Lyon Institut de Physique Nucléaire de Lyon (IPNL),France Filippini, J. IP2I, Lyon Institut de Physique Nucléaire de Lyon (IPNL),France Gascon, J. IP2I, Lyon Institut de Physique Nucléaire de Lyon (IPNL),France De Jesus, M. IP2I, Lyon Institut de Physique Nucléaire de Lyon (IPNL),France Lattaud, H. IP2I, Lyon Institut de Physique Nucléaire de Lyon (IPNL),France Juillard, A. IP2I, Lyon Institut de Physique Nucléaire de Lyon (IPNL),France Salagnac, T. IP2I, Lyon Institut de Physique Nucléaire de Lyon (IPNL),France Soldner, T. IP2I, Lyon Institut de Physique Nucléaire de Lyon (IPNL),France Lubashevskiy, A. Dubna, JINR Joint Institute for Nuclear Research (JINR),Russian Federation Yakushev, E. Dubna, JINR Joint Institute for Nuclear Research (JINR),Russian Federation Rozov, S. Dubna, JINR Joint Institute for Nuclear Research (JINR),Russian Federation Lamblin, J. LPSC, Grenoble Laboratoire de Physique Subatomique et de Cosmologie (LPSC),France Mom, B. LPSC, Grenoble Laboratoire de Physique Subatomique et de Cosmologie (LPSC),France Stutz, A. LPSC, Grenoble Laboratoire de Physique Subatomique et de Cosmologie (LPSC),France Formaggio, J.A. MIT Massachusetts Institute of Technology,USA Mayer, D.W. MIT Massachusetts Institute of Technology,USA Johnston, J. MIT Massachusetts Institute of Technology,USA Harrington, P. MIT Massachusetts Institute of Technology,USA Heine, S. MIT Massachusetts Institute of Technology,USA Sibille, V. MIT Massachusetts Institute of Technology,USA Chen, R. Northwestern U. Northwestern University,USA Figueroa-Feliciano, E. Northwestern U. Northwestern University,USA Ziqing, H. Northwestern U. Northwestern University,USA Hertel, S. Massachusetts U., Amherst University of Massachusetts at Amherst,USA Patel, P. Massachusetts U., Amherst University of Massachusetts at Amherst,USA Pinckney, D. Massachusetts U., Amherst University of Massachusetts at Amherst,USA Serafin, A. Massachusetts U., Amherst University of Massachusetts at Amherst,USA Shilcusky, A. Massachusetts U., Amherst University of Massachusetts at Amherst,USA Decheine, N. Wisconsin U., Madison University of Wisconsin,USA Palladino, K. Wisconsin U., Madison University of Wisconsin,USA Weber, S. Nebraska U. Lincoln Laboratories,USA Hirjibehedin, C. Nebraska U. Lincoln Laboratories,USA Bowden, N.S. ORCID:0000-0003-4802-5680 TUNL, Durham LLNL, Livermore Triangle Universities Nuclear Laboratory,Durham,NC 27708 Nuclear and Chemical Sciences Division,Lawrence Livermore National Laboratory,Livermore,CA,USA Carman, L. LLNL, Livermore Nuclear and Chemical Sciences Division,Lawrence Livermore National Laboratory,Livermore,CA,USA Classen, T. ORCID:0000-0003-4802-5680 TUNL, Durham LLNL, Livermore Triangle Universities Nuclear Laboratory,Durham,NC 27708 Nuclear and Chemical Sciences Division,Lawrence Livermore National Laboratory,Livermore,CA,USA Dazeley, S. LLNL, Livermore Nuclear and Chemical Sciences Division,Lawrence Livermore National Laboratory,Livermore,CA,USA Ford, M. LLNL, Livermore Nuclear and Chemical Sciences Division,Lawrence Livermore National Laboratory,Livermore,CA,USA Jovanovic, I. Michigan U. University of Michigan,Ann Arbor,MI,USA Li, V. ORCID:0000-0003-4802-5680 TUNL, Durham LLNL, Livermore Triangle Universities Nuclear Laboratory,Durham,NC 27708 Nuclear and Chemical Sciences Division,Lawrence Livermore National Laboratory,Livermore,CA,USA Mendenhall, M.P. ORCID:0000-0003-4802-5680 TUNL, Durham LLNL, Livermore Triangle Universities Nuclear Laboratory,Durham,NC 27708 Nuclear and Chemical Sciences Division,Lawrence Livermore National Laboratory,Livermore,CA,USA Sutanto, F. Michigan U. University of Michigan,Ann Arbor,MI,USA Zaitseva, N. LLNL, Livermore Nuclear and Chemical Sciences Division,Lawrence Livermore National Laboratory,Livermore,CA,USA Zhang, X. ORCID:0000-0003-4802-5680 TUNL, Durham LLNL, Livermore Triangle Universities Nuclear Laboratory,Durham,NC 27708 Nuclear and Chemical Sciences Division,Lawrence Livermore National Laboratory,Livermore,CA,USA Beaumont, W. Antwerp U. Universiteit Antwerpen,Antwerpen,Belgium Binet, S. Clermont-Ferrand U. Université Clermont Auvergne,CNRS/IN2P3,LPC,Clermont-Ferrand,France Bolognino, I. SUBATECH, Nantes SUBATECH,CNRS/IN2P3,Université de Nantes,Ecole des Mines de Nantes,Nantes,France Bongrand, M. ORCID:0000-0003-4802-5680 TUNL, Durham SUBATECH, Nantes Triangle Universities Nuclear Laboratory,Durham,NC 27708 SUBATECH,CNRS/IN2P3,Université de Nantes,Ecole des Mines de Nantes,Nantes,France Borg, J. Imperial Coll., London Imperial College London,Department of Physics,London,United Kingdom Buridon, V. Caen U. Normandie Univ,ENSICAEN,UNICAEN,CNRS/IN2P3,LPC Caen,14000 Caen,France Chanal, H. Clermont-Ferrand U. Université Clermont Auvergne,CNRS/IN2P3,LPC,Clermont-Ferrand,France Coupé, B. SCK-CEN, Mol SCK-CEN,Belgian Nuclear Research Centre,Mol,Belgium Crochet, P. Clermont-Ferrand U. Université Clermont Auvergne,CNRS/IN2P3,LPC,Clermont-Ferrand,France Cussans, D. Bristol U. University of Bristol,Bristol,UK De Roeck, A. Antwerp U. CERN Universiteit Antwerpen,Antwerpen,Belgium CERN,1211 Geneva 23,Switzerland Durand, D. Caen U. Normandie Univ,ENSICAEN,UNICAEN,CNRS/IN2P3,LPC Caen,14000 Caen,France Fallot, M. SUBATECH, Nantes SUBATECH,CNRS/IN2P3,Université de Nantes,Ecole des Mines de Nantes,Nantes,France Galbinski, D. Imperial Coll., London Imperial College London,Department of Physics,London,United Kingdom Gallego, S. Caen U. Normandie Univ,ENSICAEN,UNICAEN,CNRS/IN2P3,LPC Caen,14000 Caen,France Giot, L. SUBATECH, Nantes SUBATECH,CNRS/IN2P3,Université de Nantes,Ecole des Mines de Nantes,Nantes,France Guillon, B. Caen U. Normandie Univ,ENSICAEN,UNICAEN,CNRS/IN2P3,LPC Caen,14000 Caen,France Henaff, D. SUBATECH, Nantes SUBATECH,CNRS/IN2P3,Université de Nantes,Ecole des Mines de Nantes,Nantes,France Hayashida, S. Imperial Coll., London Imperial College London,Department of Physics,London,United Kingdom Hosseini, B. Imperial Coll., London Imperial College London,Department of Physics,London,United Kingdom Kalcheva, S. SCK-CEN, Mol SCK-CEN,Belgian Nuclear Research Centre,Mol,Belgium Lehaut, G. Caen U. Normandie Univ,ENSICAEN,UNICAEN,CNRS/IN2P3,LPC Caen,14000 Caen,France Michiels, I. Gent U. Universiteit Gent,Gent,Belgium Monteil, S. Clermont-Ferrand U. Université Clermont Auvergne,CNRS/IN2P3,LPC,Clermont-Ferrand,France Newbold, D. Bristol U. Rutherford University of Bristol,Bristol,UK STFC,Rutherford Appleton Laboratory,Harwell Oxford,and Daresbury Laboratory Roy, N. Orsay, LAL LAL,Univ Paris-Sud,CNRS/IN2P3,Université Paris-Saclay,Orsay,France Ryckbosch, D. Gent U. Universiteit Gent,Gent,Belgium Sfar, H.Rejeb Antwerp U. Universiteit Antwerpen,Antwerpen,Belgium Simard, L. Orsay, LAL LAL,Univ Paris-Sud,CNRS/IN2P3,Université Paris-Saclay,Orsay,France Vacheret, A. Imperial Coll., London Imperial College London,Department of Physics,London,United Kingdom Vandierendonck, G. Gent U. Universiteit Gent,Gent,Belgium Van Dyck, S. SCK-CEN, Mol SCK-CEN,Belgian Nuclear Research Centre,Mol,Belgium van Remortel, N. Antwerp U. Universiteit Antwerpen,Antwerpen,Belgium Vercaemer, S. Antwerp U. Universiteit Antwerpen,Antwerpen,Belgium Verstraeten, M. Antwerp U. Universiteit Antwerpen,Antwerpen,Belgium Viaud, B. ORCID:0000-0003-4802-5680 TUNL, Durham SUBATECH, Nantes Triangle Universities Nuclear Laboratory,Durham,NC 27708 SUBATECH,CNRS/IN2P3,Université de Nantes,Ecole des Mines de Nantes,Nantes,France Weber, A. Oxford U. Rutherford University of Oxford,Oxford,UK STFC,Rutherford Appleton Laboratory,Harwell Oxford,and Daresbury Laboratory Yeresko, M. Clermont-Ferrand U. Université Clermont Auvergne,CNRS/IN2P3,LPC,Clermont-Ferrand,France Yermia., F. SUBATECH, Nantes SUBATECH,CNRS/IN2P3,Université de Nantes,Ecole des Mines de Nantes,Nantes,France Bonhomme, A. Heidelberg, Max Planck Inst. IRFU, Saclay Max-Planck-Institut für Kernphysik,Saupfercheckweg 1,69117 Heidelberg,Germany IRFU,CEA,Université Paris-Saclay,91191 Gif-sur-Yvette,France Buck, C. Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik,Saupfercheckweg 1,69117 Heidelberg,Germany del Amo Sanchez, P. Annecy, LAPP Univ. Grenoble Alpes,Université Savoie Mont Blanc,CNRS/IN2P3,LAPP,74000 Annecy,France El Atmani, I. IRFU, Saclay IRFU,CEA,Université Paris-Saclay,91191 Gif-sur-Yvette,France Labit, L. Annecy, LAPP Univ. Grenoble Alpes,Université Savoie Mont Blanc,CNRS/IN2P3,LAPP,74000 Annecy,France Lamblin, J. ORCID:0000-0003-4802-5680 LPSC, Grenoble Univ. Grenoble Alpes,CNRS,Grenoble INP,LPSC-IN2P3,38000 Grenoble,France Letourneau, A. IRFU, Saclay IRFU,CEA,Université Paris-Saclay,91191 Gif-sur-Yvette,France Lhuillier, D. IRFU, Saclay IRFU,CEA,Université Paris-Saclay,91191 Gif-sur-Yvette,France Licciardi, M. LPSC, Grenoble Univ. Grenoble Alpes,CNRS,Grenoble INP,LPSC-IN2P3,38000 Grenoble,France Lindner, M. ORCID:0000-0003-4802-5680 TUNL, Durham Heidelberg, Max Planck Inst. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Max-Planck-Institut für Kernphysik,Saupfercheckweg 1,69117 Heidelberg,Germany Materna, T. IRFU, Saclay IRFU,CEA,Université Paris-Saclay,91191 Gif-sur-Yvette,France Pessard, H. Annecy, LAPP Univ. Grenoble Alpes,Université Savoie Mont Blanc,CNRS/IN2P3,LAPP,74000 Annecy,France Rogly, R. IRFU, Saclay IRFU,CEA,Université Paris-Saclay,91191 Gif-sur-Yvette,France Savu, V. IRFU, Saclay IRFU,CEA,Université Paris-Saclay,91191 Gif-sur-Yvette,France Soldner, T. ORCID:0000-0003-4802-5680 TUNL, Durham Laue-Langevin Inst. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Institut Laue-Langevin,CS 20156,38042 Grenoble Cedex 9,France Stutz, A. ORCID:0000-0003-4802-5680 LPSC, Grenoble Univ. Grenoble Alpes,CNRS,Grenoble INP,LPSC-IN2P3,38000 Grenoble,France Vialat, M. Laue-Langevin Inst. Institut Laue-Langevin,CS 20156,38042 Grenoble Cedex 9,France Algora, A. Valencia U., IFIC Instituto de Física Corpuscular,CSIC-Universitat de Valencia,E-46071 Valencia,Spain Beloeuvre, A. SUBATECH, Nantes SUBATECH,CNRS/IN2P3,Université de Nantes,Ecole des Mines de Nantes,Nantes,France Estienne, M. SUBATECH, Nantes SUBATECH,CNRS/IN2P3,Université de Nantes,Ecole des Mines de Nantes,Nantes,France Fallot, M. ORCID:0000-0003-4802-5680 TUNL, Durham SUBATECH, Nantes Triangle Universities Nuclear Laboratory,Durham,NC 27708 SUBATECH,CNRS/IN2P3,Université de Nantes,Ecole des Mines de Nantes,Nantes,France Giot, L. ORCID:0000-0003-4802-5680 TUNL, Durham SUBATECH, Nantes Triangle Universities Nuclear Laboratory,Durham,NC 27708 SUBATECH,CNRS/IN2P3,Université de Nantes,Ecole des Mines de Nantes,Nantes,France Kean, R. SUBATECH, Nantes SUBATECH,CNRS/IN2P3,Université de Nantes,Ecole des Mines de Nantes,Nantes,France Porta, A. SUBATECH, Nantes SUBATECH,CNRS/IN2P3,Université de Nantes,Ecole des Mines de Nantes,Nantes,France Tain, J.L. Valencia U., IFIC Instituto de Física Corpuscular,CSIC-Universitat de Valencia,E-46071 Valencia,Spain Sidelnik, I. Unlisted Unlisted Akindele, O.A. ORCID:0000-0003-4802-5680 TUNL, Durham LLNL, Livermore Triangle Universities Nuclear Laboratory,Durham,NC 27708 Nuclear and Chemical Sciences Division,Lawrence Livermore National Laboratory,Livermore,CA,USA Anderson, T. Penn State U. Department of Physics,Pennsylvania State University,University Park,Pennsylvania 16802,USA Askins, M. UC, Berkeley, Astron. Dept. University of California at Berkeley,Berkeley,California 94720,USA Bagdasarian, Z. UC, Berkeley, Astron. Dept. University of California at Berkeley,Berkeley,California 94720,USA Baldoni, A. Penn State U. Department of Physics,Pennsylvania State University,University Park,Pennsylvania 16802,USA Barna, A. Hawaii U. University of Hawai‘i at M ̄anoa,Honolulu,Hawai‘i 96822,USA Benson, T. Wisconsin U., Madison University of Wisconsin,Madison,Wisconsin 53706 Bergevin, M. LLNL, Livermore Nuclear and Chemical Sciences Division,Lawrence Livermore National Laboratory,Livermore,CA,USA Bernstein, A. LLNL, Livermore Nuclear and Chemical Sciences Division,Lawrence Livermore National Laboratory,Livermore,CA,USA Birrittella, B. Wisconsin U., Madison University of Wisconsin,Madison,Wisconsin 53706 Bogetic, S. LLNL, Livermore Nuclear and Chemical Sciences Division,Lawrence Livermore National Laboratory,Livermore,CA,USA Boissevain, J. Pennsylvania U. University of Pennsylvania,Philadelphia,Pennsylvania 19104,USA Borusinki, J. Hawaii U. University of Hawai‘i at M ̄anoa,Honolulu,Hawai‘i 96822,USA Boyd, S. Warwick U. University of Warwick,Coventry,CV4 7AL,UK Brooks, T. Sheffield U. The University of Sheffield,Sheffield S10 2TN,UK Budsworth, Mat AWRE, Aldermaston Atomic Weapons Establishment,Aldermaston,Reading RG7 4PR,UK Burns, J. AWRE, Aldermaston Atomic Weapons Establishment,Aldermaston,Reading RG7 4PR,UK Calle, M. AWRE, Aldermaston Atomic Weapons Establishment,Aldermaston,Reading RG7 4PR,UK Camilo, C. Brookhaven Natl. Lab. Brookhaven National Laboratory,Upton,NY,USA Carroll, A. Liverpool U. University of Liverpool,Liverpool L69 3BX,UK Coleman, J. Liverpool U. University of Liverpool,Liverpool L69 3BX,UK Collins, R. Liverpool U. University of Liverpool,Liverpool L69 3BX,UK Connor, C. Boston U. Boston University,Boston,Massachusetts 02215,USA Cowen, D. Penn State U. Department of Physics,Pennsylvania State University,University Park,Pennsylvania 16802,USA Crow, B. Hawaii U. University of Hawai‘i at M ̄anoa,Honolulu,Hawai‘i 96822,USA Curry, J. LLNL, Livermore Nuclear and Chemical Sciences Division,Lawrence Livermore National Laboratory,Livermore,CA,USA Dalnoki-Veress, F. Naval Postgraduate School Middlebury Institute of International Studies at Monterey,Monterey,California 93940,USA James Martin Center for Nonproliferation Studies,Monterey,California 93940,USA Danielson, D. Chicago U. University of Chicago,Chicago,IL 60637,USA Dazeley, S. ORCID:0000-0003-4802-5680 TUNL, Durham LLNL, Livermore Triangle Universities Nuclear Laboratory,Durham,NC 27708 Nuclear and Chemical Sciences Division,Lawrence Livermore National Laboratory,Livermore,CA,USA Diwan, M. Brookhaven Natl. Lab. Brookhaven National Laboratory,Upton,NY,USA Dixon, S. Sheffield U. The University of Sheffield,Sheffield S10 2TN,UK Drakopoulou, L. U. Edinburgh (main) The University of Edinburgh,Edinburgh EH8 9YL,UK Druetzler, A. ORCID:0000-0003-4802-5680 TUNL, Durham Hawaii U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 University of Hawai‘i at M ̄anoa,Honolulu,Hawai‘i 96822,USA Duron, J. Hawaii U. University of Hawai‘i at M ̄anoa,Honolulu,Hawai‘i 96822,USA Dye, S. Hawaii U. University of Hawai‘i at M ̄anoa,Honolulu,Hawai‘i 96822,USA Fargher, S. Sheffield U. The University of Sheffield,Sheffield S10 2TN,UK Fienberg, A. Penn State U. Department of Physics,Pennsylvania State University,University Park,Pennsylvania 16802,USA Fischer, V. UC, Davis Department of Physics,University of California at Davis,Davis,California 95616,USA Foster, R. Sheffield U. The University of Sheffield,Sheffield S10 2TN,UK Frankiewicz, Kat Boston U. Boston University,Boston,Massachusetts 02215,USA Gamble, T. Sheffield U. The University of Sheffield,Sheffield S10 2TN,UK Gooding, D. Boston U. Boston University,Boston,Massachusetts 02215,USA Gokhale, S. Brookhaven Natl. Lab. Brookhaven National Laboratory,Upton,NY,USA Grant, C. ORCID:0000-0003-4802-5680 TUNL, Durham Boston U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Boston University,Boston,Massachusetts 02215,USA Gregorio, R. Sheffield U. The University of Sheffield,Sheffield S10 2TN,UK Gribble, J. AWRE, Aldermaston Atomic Weapons Establishment,Aldermaston,Reading RG7 4PR,UK Griskevich, J. UC, Irvine Department of Physics and Astronomy,University of California,Irvine,California 92697 Hadley, D. Warwick U. University of Warwick,Coventry,CV4 7AL,UK He, J. UC, Davis Department of Physics,University of California at Davis,Davis,California 95616,USA Healey, K. Sheffield U. The University of Sheffield,Sheffield S10 2TN,UK Hecla, J. UC, Berkeley, Astron. Dept. University of California at Berkeley,Berkeley,California 94720,USA Holt, G. Liverpool U. University of Liverpool,Liverpool L69 3BX,UK Jabbari, C. Middlebury Coll. Middlebury Institute of International Studies at Monterey James Martin Center for Nonproliferation Studies Jewkes, K. Warwick U. University of Warwick,Coventry,CV4 7AL,UK Jovanovic, I. ORCID:0000-0003-4802-5680 TUNL, Durham Michigan U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 University of Michigan,Ann Arbor,MI,USA Kaiser, R. Glasgow U. University of Glasgow,Glasgow,G12 8QQ,Scotland Keenan, M. Penn State U. Department of Physics,Pennsylvania State University,University Park,Pennsylvania 16802,USA Keener, P. Pennsylvania U. University of Pennsylvania,Philadelphia,Pennsylvania 19104,USA Kneale, Liz Sheffield U. The University of Sheffield,Sheffield S10 2TN,UK Kudryavtsev, V. Sheffield U. The University of Sheffield,Sheffield S10 2TN,UK Kunkle, P. Boston U. Boston University,Boston,Massachusetts 02215,USA Learned, J. ORCID:0000-0003-4802-5680 TUNL, Durham Hawaii U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 University of Hawai‘i at M ̄anoa,Honolulu,Hawai‘i 96822,USA Litchfield, P. Glasgow U. University of Glasgow,Glasgow,G12 8QQ,Scotland Liu, X.Ran U. Edinburgh (main) The University of Edinburgh,Edinburgh EH8 9YL,UK Lynch, G. U. Edinburgh (main) The University of Edinburgh,Edinburgh EH8 9YL,UK Malek, M. Sheffield U. The University of Sheffield,Sheffield S10 2TN,UK Marr-Laundrie, P. Wisconsin U., Madison University of Wisconsin,Madison,Wisconsin 53706 Masic, B. U. Edinburgh (main) The University of Edinburgh,Edinburgh EH8 9YL,UK Mauger, C. Pennsylvania U. University of Pennsylvania,Philadelphia,Pennsylvania 19104,USA McCauley, N. Liverpool U. University of Liverpool,Liverpool L69 3BX,UK Metelko, C. Liverpool U. University of Liverpool,Liverpool L69 3BX,UK Mills, R. Liverpool U. National Nuclear Laboratory (affiliated with University of Liverpool,Liverpool L69 3BX,UK) Mitra, A. Warwick U. University of Warwick,Coventry,CV4 7AL,UK Muheim, F. U. Edinburgh (main) The University of Edinburgh,Edinburgh EH8 9YL,UK Mullen, A. UC, Berkeley, Astron. Dept. University of California at Berkeley,Berkeley,California 94720,USA Murphy, A. U. Edinburgh (main) The University of Edinburgh,Edinburgh EH8 9YL,UK Needham, M. U. Edinburgh (main) The University of Edinburgh,Edinburgh EH8 9YL,UK Neights, E. Penn State U. Department of Physics,Pennsylvania State University,University Park,Pennsylvania 16802,USA Nishimura, K. ORCID:0000-0003-4802-5680 TUNL, Durham Hawaii U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 University of Hawai‘i at M ̄anoa,Honolulu,Hawai‘i 96822,USA Ogren, K. Michigan U. University of Michigan,Ann Arbor,MI,USA Orebi Gann, G. UC, Berkeley, Astron. Dept. University of California at Berkeley,Berkeley,California 94720,USA Oxborough, L. Wisconsin U., Madison University of Wisconsin,Madison,Wisconsin 53706 Paling, S. Boulby Underground Lab. Boulby Underground Laboratory,Loftus,Saltburn-by-the-Sea,Cleveland TS13 4UZ,UK Papatyi, A. PNL, Richland Pacific Northwest National Laboratory,Richland,WA 99352,USA Paulos, B. Wisconsin U., Madison University of Wisconsin,Madison,Wisconsin 53706 Pershing, T. UC, Davis Department of Physics,University of California at Davis,Davis,California 95616,USA Pickard, L. UC, Davis Department of Physics,University of California at Davis,Davis,California 95616,USA Quillin, S. AWRE, Aldermaston Atomic Weapons Establishment,Aldermaston,Reading RG7 4PR,UK Resoro, R. Brookhaven Natl. Lab. Brookhaven National Laboratory,Upton,NY,USA Richards, B. Warwick U. University of Warwick,Coventry,CV4 7AL,UK Sabarots, L. Wisconsin U., Madison University of Wisconsin,Madison,Wisconsin 53706 Scarff, A. Sheffield U. The University of Sheffield,Sheffield S10 2TN,UK Schnellbach, Yan-Jie Liverpool U. University of Liverpool,Liverpool L69 3BX,UK Scovell, P. Boulby Underground Lab. Boulby Underground Laboratory,Loftus,Saltburn-by-the-Sea,Cleveland TS13 4UZ,UK Seitz, B. Glasgow U. University of Glasgow,Glasgow,G12 8QQ,Scotland Shea, O. U. Edinburgh (main) The University of Edinburgh,Edinburgh EH8 9YL,UK Shebalin, V. Hawaii U. University of Hawai‘i at M ̄anoa,Honolulu,Hawai‘i 96822,USA Smith, G. U. Edinburgh (main) The University of Edinburgh,Edinburgh EH8 9YL,UK Smy, M. UC, Irvine Department of Physics and Astronomy,University of California,Irvine,California 92697 Song, H. Boston U. Boston University,Boston,Massachusetts 02215,USA Spooner, N. Sheffield U. The University of Sheffield,Sheffield S10 2TN,UK Stanton, C. U. Edinburgh (main) The University of Edinburgh,Edinburgh EH8 9YL,UK Stone, O. Sheffield U. The University of Sheffield,Sheffield S10 2TN,UK Sutanto, F. ORCID:0000-0003-4802-5680 TUNL, Durham Michigan U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 University of Michigan,Ann Arbor,MI,USA Svoboda, R. UC, Davis Department of Physics,University of California at Davis,Davis,California 95616,USA Szoldos, S. UC, Berkeley, Astron. Dept. University of California at Berkeley,Berkeley,California 94720,USA Thompson, L. Sheffield U. The University of Sheffield,Sheffield S10 2TN,UK Thomson, F. Glasgow U. University of Glasgow,Glasgow,G12 8QQ,Scotland Toth, C. Boulby Underground Lab. Boulby Underground Laboratory,Loftus,Saltburn-by-the-Sea,Cleveland TS13 4UZ,UK Vagins, M. UC, Irvine Department of Physics and Astronomy,University of California,Irvine,California 92697 Van Berg, Rick Pennsylvania U. University of Pennsylvania,Philadelphia,Pennsylvania 19104,USA Varner, G. ORCID:0000-0003-4802-5680 TUNL, Durham Hawaii U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 University of Hawai‘i at M ̄anoa,Honolulu,Hawai‘i 96822,USA Ventura, S. Hawaii U. University of Hawai‘i at M ̄anoa,Honolulu,Hawai‘i 96822,USA Walsh, B. Brookhaven Natl. Lab. Brookhaven National Laboratory,Upton,NY,USA Webster, J. U. Edinburgh (main) The University of Edinburgh,Edinburgh EH8 9YL,UK Weiss, M. Penn State U. Department of Physics,Pennsylvania State University,University Park,Pennsylvania 16802,USA Westphal, D. LLNL, Livermore Nuclear and Chemical Sciences Division,Lawrence Livermore National Laboratory,Livermore,CA,USA Wetstein, M. Iowa State U. Iowa State University,Ames,Iowa 50011 Wilson, T. Liverpool U. University of Liverpool,Liverpool L69 3BX,UK Wilson, S. Sheffield U. The University of Sheffield,Sheffield S10 2TN,UK Wolcott, S. Wisconsin U., Madison University of Wisconsin,Madison,Wisconsin 53706 Wright, M. Sheffield U. The University of Sheffield,Sheffield S10 2TN,UK Collar, J.I. Chicago U. University of Chicago,Chicago,IL 60637,USA Erlandson, A. Chalk River, AECL Canadian Nuclear Laboratories Ltd.,Chalk River,ON,Canada Gariazzo, S. Valencia U., IFIC Instituto de Física Corpuscular (CSIC-Universitat de València),Parc Científic UV,C/ Catedrático JoséBeltrán,2,E-46980 Paterna (Valencia),Spain Garzelli, M.V. Hamburg U., Inst. Theor. Phys. II University of Hamburg,II Institute for Theoretical Physics Giunti, C. INFN, Turin Istituto Nazionale di Fisica Nucleare (INFN),Sezione di Torino,Via P. Giuria 1,I-10125 Torino,Italy Goldblum, B.L. UC, Berkeley, Astron. Dept. University of California at Berkeley,Berkeley,California 94720,USA Hayes, A. Los Alamos Los Alamos National Laboratory,Los Alamos,NM Hedges, S. Duke U. Department of Physics,Duke University,Durham,NC 27708 Mariani, C. Virginia Tech. Center for Neutrino Physics,Virginia Tech,Blacksburg,Virginia 24061 Minic, D. Virginia Tech. Center for Neutrino Physics,Virginia Tech,Blacksburg,Virginia 24061 Miramonti, L. ORCID:0000-0003-4802-5680 TUNL, Durham INFN, Milan Milan U. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Dipartimento di Fisica,Universita` degli Studi and INFN,20133 Milano,Italy Mougeot, X. LIST, Saclay CEA,LIST,Laboratoire National Henri Becquerel,CEA-Saclay 91191 Gif-sur-Yvette Cedex,France Naim, D. UC, Davis University of California,Davis,Davis CA Newby, J. Oak Ridge Oak Ridge National Laboratory,Oak Ridge,TN,USA Ni, K. UC, San Diego University of California,San Diego,San Diego,CA O'Donnell, T. Virginia Tech. Center for Neutrino Physics,Virginia Tech,Blacksburg,Virginia 24061 Ozturk, S. Gaziosmanpasa U. Gaziosmanpasa University,Tokat,Turkey Périssé, L. IRFU, Saclay Commissariat à l'Energie Atomique et aux Energies alternatives (CEA) Pestes, R. Virginia Tech. Brookhaven Natl. Lab. Center for Neutrino Physics,Virginia Tech,Blacksburg,Virginia 24061 Brookhaven National Laboratory,Upton,NY,USA Sonzogni, A.A. Brookhaven National Nuclear Data Center,Brookhaven National Laboratory,Upton,NY,USA Tabrizi, Z. Virginia Tech. Center for Neutrino Physics,Virginia Tech,Blacksburg,Virginia 24061 Vivier, M. IRFU, Saclay IRFU,CEA,Université Paris-Saclay,91191 Gif-sur-Yvette,France Walkup, K. ORCID:0000-0003-4802-5680 TUNL, Durham Virginia Tech. Triangle Universities Nuclear Laboratory,Durham,NC 27708 Center for Neutrino Physics,Virginia Tech,Blacksburg,Virginia 24061 CHANDLER Collaboration CONNIE Collaboration CONUS Collaboration Daya Bay Collaboration JUNO Collaboration MTAS Collaboration NEOS Collaboration NuLat Collaboration PROSPECT Collaboration RENO Collaboration Ricochet Collaboration ROADSTR Near-Field Working Group Collaboration SoLid Collaboration Stereo Collaboration Valencia-Nantes TAGS Collaboration vIOLETA Collaboration WATCHMAN Collaboration C21-07-11 080501 8 J. Phys. G 51 2024 https://lss.fnal.gov/archive/2022/conf/fermilab-conf-22-853-ppd-scd.pdf Fermilab Library Server https://www.slac.stanford.edu/econf/C210711/ eConf 2421546 43592 http://cds.cern.ch/record/2847551/files/current_limits.png 00008 Left: Current constraints on a sterile neutrino from $\nu_e$/$\overline{\nu}_e$ disappearance. Color fillings represent preferences; hatching represents exclusions. The dashed, gray region is the fit to reactor rate deficits using the HM flux model \cite{Giunti:2021kab}, given for context. See text for more details. Right: The future sensitivities of KATRIN \cite{KATRIN:2022ith} (green; 95\% C.L.), PROSPECT-II \cite{Andriamirado:2021qjc} (purple; 90\% C.L.), DANSS (light blue; 90\% CL$_s$) and JUNO-TAO \cite{juno_tao} (cyan; 90\% CL$_s$). For PROSPECT-II, two configurations are shown: two years at an HEU core (solid), and four years at an HEU core plus two years at an LEU core (dashed). The dot-dashed gray line is the $CP$ violation disambiguation limit relevant for DUNE \cite{KayserVal}. 2421547 103359 http://cds.cern.ch/record/2847551/files/SensitivityOverTimeJUNO.png 00007 JUNO's relative precision on the oscillation parameters as a function of run time. The markers and vertical lines highlight run times of 100 days, 6 years, and 20 years. The horizontal gray dashed line represents a 1\% relative precision. The green dotted and red dotted lines are indistinguishable from each other since the statistical-only precision is essentially identical for the $\Delta m^2_{31}$ and $\Delta m^2_{21}$ parameters. Figure obtained from Ref.~\cite{junooscdiana}. 2421548 6736557 http://cds.cern.ch/record/2847551/files/c8e12e623ffdea56add50e6e3de8fdab.pdf Fulltext 2421549 33823 http://cds.cern.ch/record/2847551/files/JUNO_oscillations_annotated_v2.png 00006 Left: Schematic of the JUNO detector. An acrylic sphere containing 20 kilotons of liquid scintillator serving as the \nuebar detection target is surrounded by 20-inch and 3-inch PMTs. Right: JUNO IBD spectrum with and without neutrino oscillation effects. For illustration purposes, a detector with perfect energy resolution is assumed. The gray dashed curve shows the oscillated spectrum when only the term in the disappearance probability that is modulated by $\sin^2 2\theta_{12}$ is included, whereas the blue and red curves show it when the full oscillation probability in vacuum is used assuming the normal and inverted mass orderings, respectively. Some features driven by the $\sin^2 2\theta_{12}$, $\sin^2 2\theta_{13}$, $\Delta m^2_{31}$ and $\Delta m^2_{21}$ oscillation parameters are shown pictorially. Figures obtained from Ref.~\cite{junooscdiana}. 2421550 417706 http://cds.cern.ch/record/2847551/files/JUNO_Detector.png 00005 Left: Schematic of the JUNO detector. An acrylic sphere containing 20 kilotons of liquid scintillator serving as the \nuebar detection target is surrounded by 20-inch and 3-inch PMTs. Right: JUNO IBD spectrum with and without neutrino oscillation effects. For illustration purposes, a detector with perfect energy resolution is assumed. The gray dashed curve shows the oscillated spectrum when only the term in the disappearance probability that is modulated by $\sin^2 2\theta_{12}$ is included, whereas the blue and red curves show it when the full oscillation probability in vacuum is used assuming the normal and inverted mass orderings, respectively. Some features driven by the $\sin^2 2\theta_{12}$, $\sin^2 2\theta_{13}$, $\Delta m^2_{31}$ and $\Delta m^2_{21}$ oscillation parameters are shown pictorially. Figures obtained from Ref.~\cite{junooscdiana}. 2421551 202928 http://cds.cern.ch/record/2847551/files/SpectrumHelper.png 00016 Joint unfolded interacting antineutrino energy spectrum of $^{235}$U and $^{239}$Pu from Daya Bay and PROSPECT (left) and of $^{235}$U from STEREO and PROSPECT (right). Comparisons to the Huber-Mueller model are given in both cases. From~\cite{bib:prosDBjoint} and~\cite{bib:prosSTEREOjoint}. 2421552 63295 http://cds.cern.ch/record/2847551/files/Map_of_Rx_Expts_v2.png 00000 Map of planned, current, and completed reactor antineutrino experiments. Text color indicates experimental status, while arrow color indicates the interaction channel used by the experiment. Only completed experiments taking data after 2010 are included. Further description of these experiments are given in Tables~\ref{tab:ibd_experiments} and~\ref{tab:cevns_experiments}. 2421553 44705 http://cds.cern.ch/record/2847551/files/bsm_nuclear_recoil_sensitivity.png 00010 Current bounds and projected sensitivity bounds for new neutrino interactions with nucleons through a scalar mediator (left) and vector mediator (right). Plots show with different colors the parameter space ruled out using neutrinos from accelerator complex and neutrinos from nuclear reactor facilities. Figures taken from \cite{fernandezmoroni2021physics}. 2421554 41453 http://cds.cern.ch/record/2847551/files/psur_distance.png 00004 Expected flavor composition of the reactor antineutrino flux as a function of distance to a reactor core for neutrinos of 4~MeV energy. Figure taken from Ref.~\cite{Vogel:2015wua}. The light yellow region corresponds to the survival probability of $\bar\nu_e$ that reactor antineutrino experiments can measure by placing their detectors at different baselines. 2421555 7243902 http://cds.cern.ch/record/2847551/files/2203.07214.pdf Fulltext 2421556 58795 http://cds.cern.ch/record/2847551/files/LEFig.png 00002 Overview of experimental source-detector baselines (L) and neutrino energies (E) sampled by neutrino experiments worldwide; adapted from Ref~\cite{Arguelles:2022bvt}. 2421557 72675 http://cds.cern.ch/record/2847551/files/Modify_Rates_v2.png 00015 The 95\% C.L. (dark) and 99\% C.L. (light) contours in $r_{235}$--$r_{239}$ plane for integrated rate (red), fuel evolution (purple) and all reactor experiments (black), where $r_{X}$ is the ratio of the flux predicted/measured for isotope $X$ over its HM prediction. The result from STEREO \cite{stereo_rate} is shown in green; the bands represent the $1\sigma$ (dark) and $2\sigma$ (light) regions for one degree of freedom. The orange, blue and cyan ellipses represent the expectations from the HM, EF and HKSS flux models, respectively; $1\sigma$ ($2\sigma$) is shown in dark (light) shades. The brown bands represent the $1\sigma$ (dark) and $2\sigma$ (light) determination of the $^{239}$Pu/$^{235}$U ratio from the Kurchatov Institute \cite{Kopeikin:2021rnb, kopeikin2021}. The black, dashed line represents the line along which $r_{235}=r_{239}$. The triangles represent the best-fit values for the three fits, and the circles show the central values for the flux models. Figure and caption adapted from Ref.~\cite{huber_berryman}. 2421558 214891 http://cds.cern.ch/record/2847551/files/FlavorFig.png 00003 Approximate flavor composition of commonly discussed neutrino sources; adapted from~\cite{Formaggio:2012cpf}. Reactor experiments are notable in their use of lower energy neutrinos, their access to very short baselines, and their extreme electron flavor purity. 2421559 33698 http://cds.cern.ch/record/2847551/files/CtsAboveTh_plot.png 00012 \textbf{Left:} The expected reactor CEvNS energy spectra in a Si/Ar/Ge/Xe target, with the assumption of 1kg target mass and 25m standoff distance from a 1GW reactor core; reactor antineutrino spectrum is taken from \cite{vogel_review}. \textbf{Right:} Integrated CEvNS event rate in 1 kg of Si/Ar/Ge/Xe as a threshold of detector energy threshold, with the same assumption on reactor parameters as for the left figure. 2421560 412044 http://cds.cern.ch/record/2847551/files/ReactorInteractionsWP.png 00001 Illustrations of reactor \nuebar interaction mechanisms. Adapted from~\cite{doi:10.1126/science.aao4050} 2421561 62304 http://cds.cern.ch/record/2847551/files/P-II.png 00017 Left: PROSPECT-II $^{235}$U spectrum measurement uncertainties after two years of data-taking. From~\cite{Andriamirado:2021qjc}. Right: Comparison of projected JUNO-TAO and JUNO measurements and uncertainties with Daya Bay measurements, assuming that the true LEU reactor spectrum measured by JUNO-TAO and JUNO is given by Ref.~\cite{bib:fallot2}; JUNO-TAO's sensitivity to fine structure in the LEU reactor antineutrino spectrum is clearly illustrated. From Ref.~\cite{juno_tao}. 2421562 185180 http://cds.cern.ch/record/2847551/files/axion_searches.png 00013 Comparison of sensitivity of axion like particles searches at nuclear reactor compared with excising bounds. Figures taken from \cite{Dent_2020}. 2421563 28037 http://cds.cern.ch/record/2847551/files/FallotFineStructure.png 00018 Left: PROSPECT-II $^{235}$U spectrum measurement uncertainties after two years of data-taking. From~\cite{Andriamirado:2021qjc}. Right: Comparison of projected JUNO-TAO and JUNO measurements and uncertainties with Daya Bay measurements, assuming that the true LEU reactor spectrum measured by JUNO-TAO and JUNO is given by Ref.~\cite{bib:fallot2}; JUNO-TAO's sensitivity to fine structure in the LEU reactor antineutrino spectrum is clearly illustrated. From Ref.~\cite{juno_tao}. 2421564 34328 http://cds.cern.ch/record/2847551/files/ESpects_plot.png 00011 \textbf{Left:} The expected reactor CEvNS energy spectra in a Si/Ar/Ge/Xe target, with the assumption of 1kg target mass and 25m standoff distance from a 1GW reactor core; reactor antineutrino spectrum is taken from \cite{vogel_review}. \textbf{Right:} Integrated CEvNS event rate in 1 kg of Si/Ar/Ge/Xe as a threshold of detector energy threshold, with the same assumption on reactor parameters as for the left figure. 2421565 251616 http://cds.cern.ch/record/2847551/files/Global_IBD_Xsection.png 00014 Allowed regions for isotopic IBD yields of \uFive, \pNine, and \uEight~provided by a fit of time-integrated and `flux evolution' IBD yield datasets. For this fit, sterile neutrino oscillations are assumed to be negligible. From Ref~\cite{giunti_diagnose}. 2421566 41111 http://cds.cern.ch/record/2847551/files/future_sensitivities.png 00009 Left: Current constraints on a sterile neutrino from $\nu_e$/$\overline{\nu}_e$ disappearance. Color fillings represent preferences; hatching represents exclusions. The dashed, gray region is the fit to reactor rate deficits using the HM flux model \cite{Giunti:2021kab}, given for context. See text for more details. Right: The future sensitivities of KATRIN \cite{KATRIN:2022ith} (green; 95\% C.L.), PROSPECT-II \cite{Andriamirado:2021qjc} (purple; 90\% C.L.), DANSS (light blue; 90\% CL$_s$) and JUNO-TAO \cite{juno_tao} (cyan; 90\% CL$_s$). For PROSPECT-II, two configurations are shown: two years at an HEU core (solid), and four years at an HEU core plus two years at an LEU core (dashed). The dot-dashed gray line is the $CP$ violation disambiguation limit relevant for DUNE \cite{KayserVal}. 13 2722743 080501 seattle20210711 ConferencePaper ARTICLE 2847491 20230328005127.0 oai:cds.cern.ch:2847491 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN eng Armano, M. ESTEC, Noordwijk European Space Technology Centre, European Space Agency, Keplerlaan 1, 2200 AG Noordwijk, Netherlands APS Charging of free-falling test masses in orbit due to cosmic rays: results from LISA Pathfinder 2023-03-15 2022-11-16 13 p APS A comprehensive summary of the measurements made to characterize test-mass charging due to the space environment during the LISA Pathfinder mission is presented. Measurements of the residual charge of the test mass after release by the grabbing and positioning mechanism show that the initial charge of the test masses was negative after all releases, leaving the test mass with a potential in the range from <math display="inline"><mo>-</mo><mn>12</mn></math> to <math display="inline"><mo>-</mo><mn>512</mn></math>. Variations in the neutral test-mass charging rate between 21.7 and <math display="inline"><mrow><mn>30.7</mn><mtext> </mtext><mtext> </mtext><mi>e</mi><mtext> </mtext><msup><mi mathvariant="normal">s</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></math> were observed over the course of the 17-month science operations produced by cosmic ray flux changes including a Forbush decrease associated with a small solar energetic particle event. A dependence of the cosmic ray charging rate on the test-mass potential between <math display="inline"><mo>-</mo><mn>30.2</mn></math> and <math display="inline"><mrow><mo>-</mo><mn>40.3</mn><mtext> </mtext><mtext> </mtext><mi>e</mi><mtext> </mtext><msup><mrow><mi mathvariant="normal">s</mi></mrow><mrow><mo>-</mo><mn>1</mn></mrow></msup><mtext> </mtext><msup><mrow><mi mathvariant="normal">V</mi></mrow><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></math> was observed resulting in an equilibrium test-mass potential between 670 and 960 mV, and this is attributed to a contribution to charging from low-energy electrons emitted from the gold surfaces of the gravitational reference sensor. Data from the onboard particle detector show a reliable correlation with the charging rate and with other environmental monitors of the cosmic ray flux. This correlation is exploited to extrapolate test-mass charging rates to a 20-year period giving useful insight into the expected range of charging rate that may be observed in the LISA mission. arXiv A comprehensive summary of the measurements made to characterize test mass charging due to the space environment during the LISA Pathfinder mission is presented. Measurements of the residual charge of the test mass after release by the grabbing and positioning mechanism, show that the initial charge of the test masses was negative after all releases, leaving the test mass with a potential in the range $-12$ mV to $-512$ mV. Variations in the neutral test mass charging rate between $21.7$ e s$^{-1}$ and $30.7$ e s$^{-1}$ were observed over the course of the 17-month science operations produced by cosmic ray flux changes including a Forbush decrease associated with a small solar energetic particle event. A dependence of the cosmic ray charging rate on the test mass potential between $-30.2$ e s$^{-1}$ V$^{-1}$ and $-40.3$ e s$^{-1}$ V$^{-1}$ was observed and this is attributed to a contribution to charging from low-energy electrons emitted from the gold surfaces of the gravitational reference sensor. Data from the on-board particle detector show a reliable correlation with the charging rate and with other environmental monitors of the cosmic ray flux. This correlation is exploited to extrapolate test mass charging rates to a 20-year period giving useful insight into the expected range of charging rate that may be observed in the LISA mission. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication CC BY 4.0 https://creativecommons.org/licenses/by/4.0/ publication authors 2023 HAL arXiv astro-ph.IM ARTICLE LISA Audley, H. Leibniz U., Hannover Albert-Einstein-Institut, Max-Planck-Institut für Gravitationsphysik und Leibniz Universität Hannover, Callinstraße 38, 30167 Hannover, Germany Baird, J. APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Binetruy, P. IRFU, Saclay IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France Born, M. Leibniz U., Hannover Albert-Einstein-Institut, Max-Planck-Institut für Gravitationsphysik und Leibniz Universität Hannover, Callinstraße 38, 30167 Hannover, Germany Bortoluzzi, D. TIFPA-INFN, Trento Department of Industrial Engineering and Trento Institute for Fundamental Physics and Application/INFN, University of Trento, via Sommarive 9, 38123 Trento, Italy Castelli, E. U. Trento (main) INFN, Trento Dipartimento di Fisica, Università di Trento and Trento Institute for Fundamental Physics and Application/INFN, 38123 Povo, Trento, Italy Cavalleri, A. IFN, Rome Istituto di Fotonica e Nanotecnologie, CNR-Fondazione Bruno Kessler, I-38123 Povo, Trento, Italy Cesarini, A. Urbino U. DISPEA, Università di Urbino “Carlo Bo”, Via Santa Chiara, 27 61029 Urbino/INFN, Italy Cruise, A.M. Birmingham U. The School of Physics and Astronomy, University of Birmingham, Birmingham B15 2TT, United Kingdom Danzmann, K. Leibniz U., Hannover Albert-Einstein-Institut, Max-Planck-Institut für Gravitationsphysik und Leibniz Universität Hannover, Callinstraße 38, 30167 Hannover, Germany de Deus Silva, M. ESA, Madrid European Space Astronomy Centre, European Space Agency, Villanueva de la Cañada, 28692 Madrid, Spain Diepholz, I. Leibniz U., Hannover Albert-Einstein-Institut, Max-Planck-Institut für Gravitationsphysik und Leibniz Universität Hannover, Callinstraße 38, 30167 Hannover, Germany Dixon, G. Birmingham U. The School of Physics and Astronomy, University of Birmingham, Birmingham B15 2TT, United Kingdom Dolesi, R. U. Trento (main) INFN, Trento Dipartimento di Fisica, Università di Trento and Trento Institute for Fundamental Physics and Application/INFN, 38123 Povo, Trento, Italy Ferraioli, L. ETH, Zurich (main) Institut für Geophysik, ETH Zürich, Sonneggstrasse 5, CH-8092, Zürich, Switzerland Ferroni, V. U. Trento (main) INFN, Trento Dipartimento di Fisica, Università di Trento and Trento Institute for Fundamental Physics and Application/INFN, 38123 Povo, Trento, Italy Fitzsimons, E.D. Edinburgh U., Inst. Astron. The UK Astronomy Technology Centre, Royal Observatory, Edinburgh, Blackford Hill, Edinburgh EH9 3HJ, United Kingdom Freschi, M. ESA, Madrid European Space Astronomy Centre, European Space Agency, Villanueva de la Cañada, 28692 Madrid, Spain Gesa, L. ICE, Bellaterra Institut de Ciències de l’Espai (ICE, CSIC), Campus UAB, Carrer de Can Magrans s/n, 08193 Cerdanyola del Vallès, Spain Giardini, D. ETH, Zurich (main) Institut für Geophysik, ETH Zürich, Sonneggstrasse 5, CH-8092, Zürich, Switzerland Gibert, F. U. Trento (main) INFN, Trento Dipartimento di Fisica, Università di Trento and Trento Institute for Fundamental Physics and Application/INFN, 38123 Povo, Trento, Italy Giusteri, b.R. Leibniz U., Hannover Albert-Einstein-Institut, Max-Planck-Institut für Gravitationsphysik und Leibniz Universität Hannover, Callinstraße 38, 30167 Hannover, Germany Grimani, C. Urbino U. DISPEA, Università di Urbino “Carlo Bo”, Via Santa Chiara, 27 61029 Urbino/INFN, Italy Grzymisch, J. ESTEC, Noordwijk European Space Technology Centre, European Space Agency, Keplerlaan 1, 2200 AG Noordwijk, Netherlands Harrison, I. ESTEC, Noordwijk European Space Operations Centre, European Space Agency, 64293 Darmstadt, Germany Hartig, M.-S. Leibniz U., Hannover Albert-Einstein-Institut, Max-Planck-Institut für Gravitationsphysik und Leibniz Universität Hannover, Callinstraße 38, 30167 Hannover, Germany Heinzel, G. Leibniz U., Hannover Albert-Einstein-Institut, Max-Planck-Institut für Gravitationsphysik und Leibniz Universität Hannover, Callinstraße 38, 30167 Hannover, Germany Hewitson, M. Leibniz U., Hannover Albert-Einstein-Institut, Max-Planck-Institut für Gravitationsphysik und Leibniz Universität Hannover, Callinstraße 38, 30167 Hannover, Germany Hollington, D. Imperial Coll., London Physics Department, High Energy Physics Group, Imperial College London, Blackett Laboratory, Prince Consort Road, London, SW7 2BW, United Kingdom Hoyland, D. Birmingham U. The School of Physics and Astronomy, University of Birmingham, Birmingham B15 2TT, United Kingdom Hueller, M. U. Trento (main) INFN, Trento Dipartimento di Fisica, Università di Trento and Trento Institute for Fundamental Physics and Application/INFN, 38123 Povo, Trento, Italy Inchauspé, H. APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Jennrich, c.O. ESTEC, Noordwijk European Space Technology Centre, European Space Agency, Keplerlaan 1, 2200 AG Noordwijk, Netherlands Jetzer, P. Zurich U. Physik Institut, Universität Zürich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland Karnesis, N. APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Kaune, B. Leibniz U., Hannover Albert-Einstein-Institut, Max-Planck-Institut für Gravitationsphysik und Leibniz Universität Hannover, Callinstraße 38, 30167 Hannover, Germany Killow, C.J. Glasgow U. SUPA, Institute for Gravitational Research, School of Physics and Astronomy, University of Glasgow, Glasgow, G12 8QQ, United Kingdom Korsakova, N. APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Lobo, J.A. ICE, Bellaterra Institut de Ciències de l’Espai (ICE, CSIC), Campus UAB, Carrer de Can Magrans s/n, 08193 Cerdanyola del Vallès, Spain L.ópez-Zaragoza, J.P. ICE, Bellaterra Institut de Ciències de l’Espai (ICE, CSIC), Campus UAB, Carrer de Can Magrans s/n, 08193 Cerdanyola del Vallès, Spain Maarschalkerweerd, R. ESTEC, Noordwijk European Space Operations Centre, European Space Agency, 64293 Darmstadt, Germany Mance, D. ETH, Zurich (main) Institut für Geophysik, ETH Zürich, Sonneggstrasse 5, CH-8092, Zürich, Switzerland Martín, V. ICE, Bellaterra Institut de Ciències de l’Espai (ICE, CSIC), Campus UAB, Carrer de Can Magrans s/n, 08193 Cerdanyola del Vallès, Spain Martino, J. APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Martin-Polo, L. ESA, Madrid European Space Astronomy Centre, European Space Agency, Villanueva de la Cañada, 28692 Madrid, Spain Martin-Porqueras, F. ESA, Madrid European Space Astronomy Centre, European Space Agency, Villanueva de la Cañada, 28692 Madrid, Spain McNamara, P.W. ESTEC, Noordwijk European Space Technology Centre, European Space Agency, Keplerlaan 1, 2200 AG Noordwijk, Netherlands Mendes, J. ESTEC, Noordwijk European Space Operations Centre, European Space Agency, 64293 Darmstadt, Germany Mendes, L. ESA, Madrid European Space Astronomy Centre, European Space Agency, Villanueva de la Cañada, 28692 Madrid, Spain Meshksar, N. ETH, Zurich (main) Institut für Geophysik, ETH Zürich, Sonneggstrasse 5, CH-8092, Zürich, Switzerland Nofrarias, M. ICE, Bellaterra Institut de Ciències de l’Espai (ICE, CSIC), Campus UAB, Carrer de Can Magrans s/n, 08193 Cerdanyola del Vallès, Spain Paczkowski, S. Leibniz U., Hannover Albert-Einstein-Institut, Max-Planck-Institut für Gravitationsphysik und Leibniz Universität Hannover, Callinstraße 38, 30167 Hannover, Germany Perreur-Lloyd, M. Glasgow U. SUPA, Institute for Gravitational Research, School of Physics and Astronomy, University of Glasgow, Glasgow, G12 8QQ, United Kingdom Petiteau, A. APC, Paris IRFU, Saclay Université Paris Cité, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France Plagnol, E. APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Ramos-Castro, J. Barcelona, Polytechnic U. Department d’Enginyeria Electrònica, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain Reiche, J. Leibniz U., Hannover Albert-Einstein-Institut, Max-Planck-Institut für Gravitationsphysik und Leibniz Universität Hannover, Callinstraße 38, 30167 Hannover, Germany Rivas, F. ICE, Bellaterra Institut de Ciències de l’Espai (ICE, CSIC), Campus UAB, Carrer de Can Magrans s/n, 08193 Cerdanyola del Vallès, Spain Robertson, d.D.I. Glasgow U. SUPA, Institute for Gravitational Research, School of Physics and Astronomy, University of Glasgow, Glasgow, G12 8QQ, United Kingdom Russano, G. U. Trento (main) INFN, Trento Dipartimento di Fisica, Università di Trento and Trento Institute for Fundamental Physics and Application/INFN, 38123 Povo, Trento, Italy Slutsky, e.J. NASA, Goddard Gravitational Astrophysics Laboratory, NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, Maryland 20771, USA Sopuerta, C.F. ICE, Bellaterra Institut de Ciències de l’Espai (ICE, CSIC), Campus UAB, Carrer de Can Magrans s/n, 08193 Cerdanyola del Vallès, Spain Sumner, T.J. Imperial Coll., London Florida U. Physics Department, High Energy Physics Group, Imperial College London, Blackett Laboratory, Prince Consort Road, London, SW7 2BW, United Kingdom Department of Physics, P.O. Box 118440, University of Florida, Gainesville, Florida 32611, USA Texier, D. ESA, Madrid European Space Astronomy Centre, European Space Agency, Villanueva de la Cañada, 28692 Madrid, Spain Thorpe, J.I. NASA, Goddard Gravitational Astrophysics Laboratory, NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, Maryland 20771, USA Vetrugno, D. U. Trento (main) INFN, Trento Dipartimento di Fisica, Università di Trento and Trento Institute for Fundamental Physics and Application/INFN, 38123 Povo, Trento, Italy Vitale, S. U. Trento (main) INFN, Trento Dipartimento di Fisica, Università di Trento and Trento Institute for Fundamental Physics and Application/INFN, 38123 Povo, Trento, Italy Wanner, G. Leibniz U., Hannover Albert-Einstein-Institut, Max-Planck-Institut für Gravitationsphysik und Leibniz Universität Hannover, Callinstraße 38, 30167 Hannover, Germany Ward, H. Glasgow U. SUPA, Institute for Gravitational Research, School of Physics and Astronomy, University of Glasgow, Glasgow, G12 8QQ, United Kingdom Wass, P.J. Imperial Coll., London Florida U. Physics Department, High Energy Physics Group, Imperial College London, Blackett Laboratory, Prince Consort Road, London, SW7 2BW, United Kingdom Department of Mechanical and Aerospace Engineering, MAE-A, P.O. Box 116250, University of Florida, Gainesville, Florida 32611, USA Weber, W.J. U. Trento (main) INFN, Trento Dipartimento di Fisica, Università di Trento and Trento Institute for Fundamental Physics and Application/INFN, 38123 Povo, Trento, Italy Wissel, L. Leibniz U., Hannover Albert-Einstein-Institut, Max-Planck-Institut für Gravitationsphysik und Leibniz Universität Hannover, Callinstraße 38, 30167 Hannover, Germany Wittchen, A. Leibniz U., Hannover Albert-Einstein-Institut, Max-Planck-Institut für Gravitationsphysik und Leibniz Universität Hannover, Callinstraße 38, 30167 Hannover, Germany Zweifel, P. ETH, Zurich (main) Institut für Geophysik, ETH Zürich, Sonneggstrasse 5, CH-8092, Zürich, Switzerland LISA Pathfinder Collaboration 062007 publication 6 Phys. Rev. D 107 2023 2420608 31281 http://cds.cern.ch/record/2847491/files/ForbushScatter.png 00007 Scatter plot between of the data shown in Figure~\ref{fig:Forbush} showing the correspondence between the test mass charging rate and radiation monitor count rate during the Forbush decrease. Solid lines show the best fit to the data. 2420609 46093 http://cds.cern.ch/record/2847491/files/longQScatter3.png 00005 LPF test-mass charging rates as function radiation monitor count rate over a 3-day period beginning 2016-04-20 08:00:00 UTC. Solid lines show the best fit to the data. 2420610 27755 http://cds.cern.ch/record/2847491/files/ProjectedChargeRate.png 00008 Charging rate of the LISA Pathfinder test masses extrapolated over the 20-year observation range of the INTEGRAL mission by correlation with the IREM count rate as described in the text. The shaded region shows the duration of the LISA Pathfinder mission. 2420611 1237216 http://cds.cern.ch/record/2847491/files/2211.09309.pdf Fulltext 2420612 35250 http://cds.cern.ch/record/2847491/files/RateTimeSeries.png 00001 LPF charging rate measurement for both test masses starting at 2017-06-22 at 02:12:00 UTC, the left-hand axis indicates the test mass charge and the right-hand axis the equivalent test mass potential with $C_{T}=34.1$\,pF. The inset shows an expanded plot of the data around $V_{\textsc{tm}} \approx -808$\,mV with linear best fit lines. The charging rates from the fitted lines are $+53.4\pm1.2$\,e\,s$^{-1}$ ($\chi^2_{\mathrm{red}}=0.99$) and $52.4\pm1.2$\,e\,s$^{-1}$ ($\chi^2_{\mathrm{red}}$=1.2) for TM 1 and 2 respectively. 2420613 23959 http://cds.cern.ch/record/2847491/files/rateVtm.png 00002 The variation in the test mass charging rates observed with varying test mass potential for the two measurements described in the text. The upper panel shows the results from 2017-01-30 and the lower panel form 2017-06-22. 2420614 31904 http://cds.cern.ch/record/2847491/files/acRates.png 00003 The test mass charge measured during the change in test mass force and torque authority at 2016-05-13 07:30 UTC ($t=0$). Dashed lines indicate the best fit to the charge trend at $t<0$ and dash-dotted lines show the trend at $t>0$. 2420615 52885 http://cds.cern.ch/record/2847491/files/MissionCharge.png 00000 LPF test-mass charge as function of time throughout the mission. Dashed lines indicate the upper and lower limits for the charge during nominal operations at 3$\times10^7$\,e\,$\approx$\,140\,mV 2420616 25120 http://cds.cern.ch/record/2847491/files/MissionScatter.png 00004 LPF test-mass charging rates as a function radiation monitor count rate for selected measurements. Solid lines show the weighted best fit to the data, dashed lines indicate the unweighted fit. 2420617 38063 http://cds.cern.ch/record/2847491/files/ForbushTimeSeries.png 00006 Test mass charge and radiation monitor measurements made during the Forbush decrease beginning at 2017-07-15 01:00 UTC. 13 ARTICLE DELETED 2847465 20260331041735.0 oai:cds.cern.ch:2847465 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI IOP 10.1088/1748-0221/18/04/P04001 arXiv oai:arXiv.org:2205.00961 oai:inspirehep.net:2075454 https://inspirehep.net/api/oai2d Inspire 2026-03-30T17:07:28Z 2026-03-31T02:00:13Z marcxml true Inspire 2075454 arXiv arXiv:2205.00961 physics.ins-det arXiv:reportnumber eng Adam, W. ROR:https://ror.org/039shy520 Vienna, OAW Institut für Hochenergiephysik, Wien, Austria IOP Test beam performance of a CBC3-based mini-module for the Phase-2 CMS Outer Tracker before and after neutron irradiation 2023-04-04 2022-05-02 31 p IOP The Large Hadron Collider (LHC) at CERN will undergo majorupgrades to increase the instantaneous luminosity up to5–7.5×10$^{34}$ cm$^{-2}$s$^{-1}$. This High Luminosityupgrade of the LHC (HL-LHC) will deliver a total of3000–4000 fb$^{-1}$ of proton-proton collisions at acenter-of-mass energy of 13–14 TeV. To cope with thesechallenging environmental conditions, the strip tracker of the CMSexperiment will be upgraded using modules with two closely-spacedsilicon sensors to provide information to include tracking in theLevel-1 trigger selection. This paper describes the performance, ina test beam experiment, of the first prototype module based on thefinal version of the CMS Binary Chip front-end ASIC before and afterthe module was irradiated with neutrons. Results demonstrate thatthe prototype module satisfies the requirements, providing efficienttracking information, after being irradiated with a total fluencecomparable to the one expected through the lifetime of theexperiment. arXiv The Large Hadron Collider (LHC) at CERN will undergo major upgrades to increase the instantaneous luminosity up to 5-7.5$\times10^{34}$ cm$^{-2}$s$^{-1}$. This High Luminosity upgrade of the LHC (HL-LHC) will deliver a total of 3000-4000 fb$^{-1}$ of proton-proton collisions at a center-of-mass energy of 13-14 TeV. To cope with these challenging environmental conditions, the strip tracker of the CMS experiment will be upgraded using modules with two closely-spaced silicon sensors to provide information to include tracking in the Level-1 trigger selection. This paper describes the performance, in a test beam experiment, of the first prototype module based on the final version of the CMS Binary Chip front-end ASIC before and after the module was irradiated with neutrons. Results demonstrate that the prototype module satisfies the requirements, providing efficient tracking information, after being irradiated with a total fluence comparable to the one expected through the lifetime of the experiment. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication CC-BY-4.0 IOP http://creativecommons.org/licenses/by/4.0/ Other publication CERN 2023 L 2022-05-05 abs L 2022-05-08 printed For annual report arXiv hep-ex SzGeCERN Particle Physics - Experiment arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques CERN ARTICLE CERN LHC CMS Bergauer, T. ROR:https://ror.org/039shy520 Vienna, OAW Institut für Hochenergiephysik, Wien, Austria Damanakis, K. ROR:https://ror.org/039shy520 Vienna, OAW Institut für Hochenergiephysik, Wien, Austria Dragicevic, M. ROR:https://ror.org/039shy520 Vienna, OAW Institut für Hochenergiephysik, Wien, Austria Frühwirth, R. ROR:https://ror.org/039shy520 Vienna, OAW Institut für Hochenergiephysik, Wien, Austria Steininger, H. ROR:https://ror.org/039shy520 Vienna, OAW Institut für Hochenergiephysik, Wien, Austria Beaumont, W. ROR:https://ror.org/008x57b05 Antwerp U. Universiteit Antwerpen, Antwerpen, Belgium Darwish, M.R. ROR:https://ror.org/008x57b05 Antwerp U. Universiteit Antwerpen, Antwerpen, Belgium Janssen, T. ROR:https://ror.org/008x57b05 Antwerp U. Universiteit Antwerpen, Antwerpen, Belgium Kello, T. ROR:https://ror.org/008x57b05 Antwerp U. Universiteit Antwerpen, Antwerpen, Belgium Rejeb Sfar, H. ROR:https://ror.org/008x57b05 Antwerp U. Universiteit Antwerpen, Antwerpen, Belgium Van Mechelen, P. ROR:https://ror.org/008x57b05 Antwerp U. Universiteit Antwerpen, Antwerpen, Belgium Breugelmans, N. ROR:https://ror.org/006e5kg04 Vrije U., Brussels Vrije Universiteit Brussel, Brussel, Belgium Delcourt, M. ROR:https://ror.org/006e5kg04 Vrije U., Brussels Vrije Universiteit Brussel, Brussel, Belgium De Moor, A. ROR:https://ror.org/006e5kg04 Vrije U., Brussels Vrije Universiteit Brussel, Brussel, Belgium D'Hondt, J. ROR:https://ror.org/006e5kg04 Vrije U., Brussels Vrije Universiteit Brussel, Brussel, Belgium Heyen, F. ROR:https://ror.org/006e5kg04 Vrije U., Brussels Vrije Universiteit Brussel, Brussel, Belgium Lowette, S. ROR:https://ror.org/006e5kg04 Vrije U., Brussels Vrije Universiteit Brussel, Brussel, Belgium Makarenko, I. ROR:https://ror.org/006e5kg04 Vrije U., Brussels Vrije Universiteit Brussel, Brussel, Belgium Muller, D. ROR:https://ror.org/006e5kg04 Vrije U., Brussels Vrije Universiteit Brussel, Brussel, Belgium Sahasransu, A.R. ROR:https://ror.org/006e5kg04 Vrije U., Brussels Vrije Universiteit Brussel, Brussel, Belgium Vannerom, D. ORCID:0000-0002-2747-5095 ROR:https://ror.org/006e5kg04 Vrije U., Brussels Vrije Universiteit Brussel, Brussel, Belgium Van Putte, S. ROR:https://ror.org/006e5kg04 Vrije U., Brussels Vrije Universiteit Brussel, Brussel, Belgium Allard, Y. ROR:https://ror.org/01r9htc13 ROR:https://ror.org/05eva6s33 Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Clerbaux, B. ROR:https://ror.org/01r9htc13 ROR:https://ror.org/05eva6s33 Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Dansana, S. ROR:https://ror.org/01r9htc13 ROR:https://ror.org/05eva6s33 Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium De Lentdecker, G. ROR:https://ror.org/01r9htc13 ROR:https://ror.org/05eva6s33 Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Evard, H. ROR:https://ror.org/01r9htc13 ROR:https://ror.org/05eva6s33 Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Favart, L. ROR:https://ror.org/01r9htc13 ROR:https://ror.org/05eva6s33 Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Hohov, D. ROR:https://ror.org/01r9htc13 ROR:https://ror.org/05eva6s33 Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Khalilzadeh, A. ROR:https://ror.org/01r9htc13 ROR:https://ror.org/05eva6s33 Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Lee, K. ROR:https://ror.org/01r9htc13 ROR:https://ror.org/05eva6s33 Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Mahdavikhorrami, M. ROR:https://ror.org/01r9htc13 ROR:https://ror.org/05eva6s33 Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Malara, A. ROR:https://ror.org/01r9htc13 ROR:https://ror.org/05eva6s33 Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Paredes, S. ROR:https://ror.org/01r9htc13 ROR:https://ror.org/05eva6s33 Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Postiau, N. ROR:https://ror.org/01r9htc13 ROR:https://ror.org/05eva6s33 Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Robert, F. ROR:https://ror.org/01r9htc13 ROR:https://ror.org/05eva6s33 Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Thomas, L. ROR:https://ror.org/01r9htc13 ROR:https://ror.org/05eva6s33 Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Vanden Bemden, M. ROR:https://ror.org/01r9htc13 ROR:https://ror.org/05eva6s33 Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Vanlaer, P. ROR:https://ror.org/01r9htc13 ROR:https://ror.org/05eva6s33 Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Yang, Y. ROR:https://ror.org/01r9htc13 ROR:https://ror.org/05eva6s33 Brussels U. INFN, Rome Université Libre de Bruxelles, Bruxelles, Belgium Benecke, A. ROR:https://ror.org/02495e989 Louvain U., CP3 Université Catholique de Louvain, Louvain-la-Neuve, Belgium Bruno, G. ROR:https://ror.org/02495e989 Louvain U., CP3 Université Catholique de Louvain, Louvain-la-Neuve, Belgium Bury, F. ROR:https://ror.org/02495e989 Louvain U., CP3 Université Catholique de Louvain, Louvain-la-Neuve, Belgium Caputo, C. ROR:https://ror.org/02495e989 Louvain U., CP3 Université Catholique de Louvain, Louvain-la-Neuve, Belgium De Favereau, J. ROR:https://ror.org/02495e989 Louvain U., CP3 Université Catholique de Louvain, Louvain-la-Neuve, Belgium Delaere, C. ROR:https://ror.org/02495e989 Louvain U., CP3 Université Catholique de Louvain, Louvain-la-Neuve, Belgium Donertas, I.S. ROR:https://ror.org/02495e989 Louvain U., CP3 Université Catholique de Louvain, Louvain-la-Neuve, Belgium Giammanco, A. ROR:https://ror.org/02495e989 Louvain U., CP3 Université Catholique de Louvain, Louvain-la-Neuve, Belgium Jaffel, K. ROR:https://ror.org/02495e989 Louvain U., CP3 Université Catholique de Louvain, Louvain-la-Neuve, Belgium Jain, S. ROR:https://ror.org/02495e989 Louvain U., CP3 Université Catholique de Louvain, Louvain-la-Neuve, Belgium Lemaitre, V. ROR:https://ror.org/02495e989 Louvain U., CP3 Université Catholique de Louvain, Louvain-la-Neuve, Belgium Mondal, K. ROR:https://ror.org/02495e989 Louvain U., CP3 Université Catholique de Louvain, Louvain-la-Neuve, Belgium Szilasi, N. ROR:https://ror.org/02495e989 Louvain U., CP3 Université Catholique de Louvain, Louvain-la-Neuve, Belgium Tran, T.T. ROR:https://ror.org/02495e989 Louvain U., CP3 Université Catholique de Louvain, Louvain-la-Neuve, Belgium Wertz, S. ROR:https://ror.org/02495e989 Louvain U., CP3 Université Catholique de Louvain, Louvain-la-Neuve, Belgium Calligaris, L. Sao Paulo, IFT Universidade Estadual Paulista, São Paulo, Brazil Brigljević, V. ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Institut Ruđer Bošković, Zagreb, Croatia Chitroda, B. ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Institut Ruđer Bošković, Zagreb, Croatia Ferenček, D. ORCID:0000-0001-9116-1202 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Institut Ruđer Bošković, Zagreb, Croatia Mishra, S. ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Institut Ruđer Bošković, Zagreb, Croatia Starodumov, A. ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Institut Ruđer Bošković, Zagreb, Croatia Šuša, T. ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Institut Ruđer Bošković, Zagreb, Croatia Brücken, E. ROR:https://ror.org/040af2s02 Helsinki U. Department of Physics, University of Helsinki, Helsinki, Finland Lampén, T. ROR:https://ror.org/01x2x1522 Helsinki Inst. of Phys. Helsinki Institute of Physics, Helsinki, Finland Martikainen, L. ROR:https://ror.org/01x2x1522 Helsinki Inst. of Phys. Helsinki Institute of Physics, Helsinki, Finland Tuominen, E. ROR:https://ror.org/01x2x1522 Helsinki Inst. of Phys. Helsinki Institute of Physics, Helsinki, Finland Karadzhinova-Ferrer, A. Lappeenranta U. Tech. Lappeenranta-Lahti University of Technology, Lappeenranta, Finland Luukka, P. Lappeenranta U. Tech. Lappeenranta-Lahti University of Technology, Lappeenranta, Finland Petrow, H. Lappeenranta U. Tech. Lappeenranta-Lahti University of Technology, Lappeenranta, Finland Tuuva, T. Lappeenranta U. Tech. Lappeenranta-Lahti University of Technology, Lappeenranta, Finland Agram, J.L. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France Andrea, J. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France Apparu, D. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France Bloch, D. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France Bonnin, C. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France Brom, J.M. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France Chabert, E. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France Charles, L. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France Collard, C. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France Dangelser, E. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France Falke, S. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France Goerlach, U. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France Gross, L. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France Haas, C. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France Krauth, M. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France Ollivier-Henry, N. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France Baulieu, G. ROR:https://ror.org/02avf8f85 IP2I, Lyon Université de Lyon, Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, France Bonnevaux, A. ROR:https://ror.org/02avf8f85 IP2I, Lyon Université de Lyon, Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, France Boudoul, G. ROR:https://ror.org/02avf8f85 IP2I, Lyon Université de Lyon, Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, France Caponetto, L. ROR:https://ror.org/02avf8f85 IP2I, Lyon Université de Lyon, Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, France Chanon, N. ROR:https://ror.org/02avf8f85 IP2I, Lyon Université de Lyon, Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, France Contardo, D. ROR:https://ror.org/02avf8f85 IP2I, Lyon Université de Lyon, Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, France Dupasquier, T. ROR:https://ror.org/02avf8f85 IP2I, Lyon Université de Lyon, Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, France Galbit, G. ROR:https://ror.org/02avf8f85 IP2I, Lyon Université de Lyon, Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, France Marchisone, M. ROR:https://ror.org/02avf8f85 IP2I, Lyon Université de Lyon, Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, France Mirabito, L. ROR:https://ror.org/02avf8f85 IP2I, Lyon Université de Lyon, Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, France Nodari, B. ROR:https://ror.org/02avf8f85 IP2I, Lyon Université de Lyon, Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, France Schibler, E. ROR:https://ror.org/02avf8f85 IP2I, Lyon Université de Lyon, Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, France Schirra, F. ROR:https://ror.org/02avf8f85 IP2I, Lyon Université de Lyon, Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, France Vander Donckt, M. ROR:https://ror.org/02avf8f85 IP2I, Lyon Université de Lyon, Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, France Viret, S. ROR:https://ror.org/02avf8f85 IP2I, Lyon Université de Lyon, Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, France Botta, V. ROR:https://ror.org/04xfq0f34 Aachen, Tech. Hochsch. RWTH Aachen University, I. Physikalisches Institut, Aachen, Germany Ebisch, C. ROR:https://ror.org/04xfq0f34 Aachen, Tech. Hochsch. RWTH Aachen University, I. Physikalisches Institut, Aachen, Germany Feld, L. ROR:https://ror.org/04xfq0f34 Aachen, Tech. Hochsch. RWTH Aachen University, I. Physikalisches Institut, Aachen, Germany Karpinski, W. ROR:https://ror.org/04xfq0f34 Aachen, Tech. Hochsch. RWTH Aachen University, I. Physikalisches Institut, Aachen, Germany Klein, K. ROR:https://ror.org/04xfq0f34 Aachen, Tech. Hochsch. RWTH Aachen University, I. Physikalisches Institut, Aachen, Germany Lipinski, M. ROR:https://ror.org/04xfq0f34 Aachen, Tech. Hochsch. RWTH Aachen University, I. Physikalisches Institut, Aachen, Germany Louis, D. ROR:https://ror.org/04xfq0f34 Aachen, Tech. Hochsch. RWTH Aachen University, I. Physikalisches Institut, Aachen, Germany Meuser, D. ROR:https://ror.org/04xfq0f34 Aachen, Tech. Hochsch. RWTH Aachen University, I. Physikalisches Institut, Aachen, Germany Özen, I. ROR:https://ror.org/04xfq0f34 Aachen, Tech. Hochsch. RWTH Aachen University, I. Physikalisches Institut, Aachen, Germany Pauls, A. ROR:https://ror.org/04xfq0f34 Aachen, Tech. Hochsch. RWTH Aachen University, I. Physikalisches Institut, Aachen, Germany Pierschel, G. ROR:https://ror.org/04xfq0f34 Aachen, Tech. Hochsch. RWTH Aachen University, I. Physikalisches Institut, Aachen, Germany Röwert, N. ROR:https://ror.org/04xfq0f34 Aachen, Tech. Hochsch. RWTH Aachen University, I. Physikalisches Institut, Aachen, Germany Teroerde, M. ROR:https://ror.org/04xfq0f34 Aachen, Tech. Hochsch. RWTH Aachen University, I. Physikalisches Institut, Aachen, Germany Wlochal, M. ROR:https://ror.org/04xfq0f34 Aachen, Tech. Hochsch. RWTH Aachen University, I. Physikalisches Institut, Aachen, Germany Dziwok, C. ROR:https://ror.org/04xfq0f34 Aachen, Tech. Hochsch. RWTH Aachen University, III. Physikalisches Institut B, Aachen, Germany Fluegge, G. ROR:https://ror.org/04xfq0f34 Aachen, Tech. Hochsch. RWTH Aachen University, III. Physikalisches Institut B, Aachen, Germany Pooth, O. ROR:https://ror.org/04xfq0f34 Aachen, Tech. Hochsch. RWTH Aachen University, III. Physikalisches Institut B, Aachen, Germany Stahl, A. ROR:https://ror.org/04xfq0f34 Aachen, Tech. Hochsch. RWTH Aachen University, III. Physikalisches Institut B, Aachen, Germany Ziemons, T. ROR:https://ror.org/04xfq0f34 Aachen, Tech. Hochsch. RWTH Aachen University, III. Physikalisches Institut B, Aachen, Germany Agah, A. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Bhattacharya, S. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Blekman, F. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Campbell, A. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Cardini, A. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Cheng, C. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Consuegra Rodriguez, S. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Eckerlin, G. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Eckstein, D. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Gallo, E. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Guthoff, M. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Kleinwort, C. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Mankel, R. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Maser, H. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Muhl, C. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Mussgiller, A. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Nürnberg, A. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Otarid, Y. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Perez Adan, D. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Petersen, H. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Rastorguev, D. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Reichelt, O. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Schütze, P. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Sreelatha Pramod, L. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Stever, R. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Velyka, A. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Ventura Barroso, A. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Walsh, R. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Zuber, A. ROR:https://ror.org/01js2sh04 DESY Deutsches Elektronen-Synchrotron, Hamburg, Germany Albrecht, A. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Antonello, M. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Biskop, H. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Buhmann, P. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Connor, P. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Garutti, E. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Hajheidari, M. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Haller, J. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Hinzmann, A. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Jabusch, H. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Kasieczka, G. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Klanner, R. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Kutzner, V. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Lange, J. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Martens, S. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Mrowietz, M. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Nissan, Y. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Pena, K. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Raciti, B. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Schleper, P. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Schwandt, J. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Steinbrück, G. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Tews, A. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Wellhausen, J. ROR:https://ror.org/00g30e956 Hamburg U. University of Hamburg, Hamburg, Germany Ardila, L. ORCID:0000-0002-7485-8267 ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Balzer, M. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Barvich, T. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Berger, B. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Butz, E. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Caselle, M. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Dierlamm, A. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Elicabuk, U. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Fuchs, M. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Hartmann, F. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Husemann, U. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Kösker, G. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Koppenhöfer, R. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Maier, S. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Mallows, S. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Mehner, T. ORCID:0000-0002-8506-5510 ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Muller, Th. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Neufeld, M. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Sander, O. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Shvetsov, I. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Simonis, H.J. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Steck, P. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Stockmeier, L. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Topko, B. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Wittig, F. ROR:https://ror.org/04t3en479 KIT, Karlsruhe Institut für Experimentelle Teilchenphysik, KIT, Karlsruhe, Germany Anagnostou, G. ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics (INPP), NCSR Demokritos, Aghia Paraskevi, Greece Assiouras, P. ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics (INPP), NCSR Demokritos, Aghia Paraskevi, Greece Daskalakis, G. ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics (INPP), NCSR Demokritos, Aghia Paraskevi, Greece Kazas, I. ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics (INPP), NCSR Demokritos, Aghia Paraskevi, Greece Kyriakis, A. ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics (INPP), NCSR Demokritos, Aghia Paraskevi, Greece Loukas, D. ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics (INPP), NCSR Demokritos, Aghia Paraskevi, Greece Balázs, T. ROR:https://ror.org/035dsb084 Wigner RCP, Budapest Wigner Research Centre for Physics, Budapest, Hungary Bartók, M. ROR:https://ror.org/035dsb084 Wigner RCP, Budapest Wigner Research Centre for Physics, Budapest, Hungary Márton, K. ROR:https://ror.org/035dsb084 Wigner RCP, Budapest Wigner Research Centre for Physics, Budapest, Hungary Siklér, F. ROR:https://ror.org/035dsb084 Wigner RCP, Budapest Wigner Research Centre for Physics, Budapest, Hungary Veszprémi, V. ROR:https://ror.org/035dsb084 Wigner RCP, Budapest Wigner Research Centre for Physics, Budapest, Hungary Bahinipati, S. ROR:https://ror.org/02r2k1c68 NISER, Jatni National Institute of Science Education and Research, HBNI, Bhubaneswar, India Das, A.K. ROR:https://ror.org/02r2k1c68 NISER, Jatni National Institute of Science Education and Research, HBNI, Bhubaneswar, India Mal, P. ROR:https://ror.org/02r2k1c68 NISER, Jatni National Institute of Science Education and Research, HBNI, Bhubaneswar, India Nayak, A. ROR:https://ror.org/02r2k1c68 NISER, Jatni National Institute of Science Education and Research, HBNI, Bhubaneswar, India Pattanaik, D.K. ROR:https://ror.org/02r2k1c68 NISER, Jatni National Institute of Science Education and Research, HBNI, Bhubaneswar, India Saha, P. ROR:https://ror.org/02r2k1c68 NISER, Jatni National Institute of Science Education and Research, HBNI, Bhubaneswar, India Swain, S.K. ROR:https://ror.org/02r2k1c68 NISER, Jatni National Institute of Science Education and Research, HBNI, Bhubaneswar, India Bhardwaj, A. ROR:https://ror.org/01ztcvt22 Delhi Tech. U. University of Delhi, Delhi, India Jain, C. ROR:https://ror.org/01ztcvt22 Delhi Tech. U. University of Delhi, Delhi, India Kumar, A. ROR:https://ror.org/01ztcvt22 Delhi Tech. U. University of Delhi, Delhi, India Kumar, T. ROR:https://ror.org/01ztcvt22 Delhi Tech. U. University of Delhi, Delhi, India Ranjan, K. ROR:https://ror.org/01ztcvt22 Delhi Tech. U. University of Delhi, Delhi, India Saumya, S. ROR:https://ror.org/01ztcvt22 Delhi Tech. U. University of Delhi, Delhi, India Baradia, S. ROR:https://ror.org/0491yz035 Saha Inst. Saha Institute of Nuclear Physics, HBNI, Kolkata, India Dutta, S. ROR:https://ror.org/0491yz035 Saha Inst. Saha Institute of Nuclear Physics, HBNI, Kolkata, India Palit, P. ROR:https://ror.org/0491yz035 Saha Inst. Saha Institute of Nuclear Physics, HBNI, Kolkata, India Saha, G. ROR:https://ror.org/0491yz035 Saha Inst. Saha Institute of Nuclear Physics, HBNI, Kolkata, India Sarkar, S. ROR:https://ror.org/0491yz035 Saha Inst. Saha Institute of Nuclear Physics, HBNI, Kolkata, India Alibordi, M. ROR:https://ror.org/03v0r5n49 Indian Inst. Tech., Madras Indian Institute of Technology Madras, Madras, India Behera, P.K. ROR:https://ror.org/03v0r5n49 Indian Inst. Tech., Madras Indian Institute of Technology Madras, Madras, India Behera, S.C. ROR:https://ror.org/03v0r5n49 Indian Inst. Tech., Madras Indian Institute of Technology Madras, Madras, India Chatterjee, S. ROR:https://ror.org/03v0r5n49 Indian Inst. Tech., Madras Indian Institute of Technology Madras, Madras, India Dash, G. ROR:https://ror.org/03v0r5n49 Indian Inst. Tech., Madras Indian Institute of Technology Madras, Madras, India Jana, P. ROR:https://ror.org/03v0r5n49 Indian Inst. Tech., Madras Indian Institute of Technology Madras, Madras, India Kalbhor, P. ROR:https://ror.org/03v0r5n49 Indian Inst. Tech., Madras Indian Institute of Technology Madras, Madras, India Libby, J. ROR:https://ror.org/03v0r5n49 Indian Inst. Tech., Madras Indian Institute of Technology Madras, Madras, India Mohammad, M. ROR:https://ror.org/03v0r5n49 Indian Inst. Tech., Madras Indian Institute of Technology Madras, Madras, India Pradhan, R. ROR:https://ror.org/03v0r5n49 Indian Inst. Tech., Madras Indian Institute of Technology Madras, Madras, India Pujahari, P.R. ROR:https://ror.org/03v0r5n49 Indian Inst. Tech., Madras Indian Institute of Technology Madras, Madras, India Saha, N.R. ROR:https://ror.org/03v0r5n49 Indian Inst. Tech., Madras Indian Institute of Technology Madras, Madras, India Samadhan, K. ROR:https://ror.org/03v0r5n49 Indian Inst. Tech., Madras Indian Institute of Technology Madras, Madras, India Sharma, A. ROR:https://ror.org/03v0r5n49 Indian Inst. Tech., Madras Indian Institute of Technology Madras, Madras, India Sikdar, A.K. ROR:https://ror.org/03v0r5n49 Indian Inst. Tech., Madras Indian Institute of Technology Madras, Madras, India Singh, R. ROR:https://ror.org/03v0r5n49 Indian Inst. Tech., Madras Indian Institute of Technology Madras, Madras, India Verma, S. ROR:https://ror.org/03v0r5n49 Indian Inst. Tech., Madras Indian Institute of Technology Madras, Madras, India Vijay, A. ROR:https://ror.org/03v0r5n49 Indian Inst. Tech., Madras Indian Institute of Technology Madras, Madras, India Cariola, P. ROR:https://ror.org/022hq6c49 INFN, Bari INFN Sezione di Bari, Italy Creanza, D. ROR:https://ror.org/022hq6c49 ROR:https://ror.org/03c44v465 INFN, Bari Bari Polytechnic INFN Sezione di Bari, Italy Politecnico di Bari, Bari, Italy de Palma, M. ROR:https://ror.org/022hq6c49 ROR:https://ror.org/027ynra39 INFN, Bari Bari U. INFN Sezione di Bari, Italy Università di Bari, Italy De Robertis, G. ROR:https://ror.org/022hq6c49 INFN, Bari INFN Sezione di Bari, Italy Di Florio, A. ROR:https://ror.org/022hq6c49 ROR:https://ror.org/03c44v465 INFN, Bari Bari Polytechnic INFN Sezione di Bari, Italy Politecnico di Bari, Bari, Italy Fiore, L. ROR:https://ror.org/022hq6c49 INFN, Bari INFN Sezione di Bari, Italy Loddo, F. ROR:https://ror.org/022hq6c49 INFN, Bari INFN Sezione di Bari, Italy Margjeka, I. ROR:https://ror.org/022hq6c49 INFN, Bari INFN Sezione di Bari, Italy Mongelli, M. ROR:https://ror.org/022hq6c49 INFN, Bari INFN Sezione di Bari, Italy My, S. ROR:https://ror.org/022hq6c49 ROR:https://ror.org/027ynra39 INFN, Bari Bari U. INFN Sezione di Bari, Italy Università di Bari, Italy Silvestris, L. ROR:https://ror.org/022hq6c49 INFN, Bari INFN Sezione di Bari, Italy Albergo, S. ROR:https://ror.org/02pq29p90 ROR:https://ror.org/03a64bh57 Messina U. INFN, Catania Catania U. INFN Sezione di Catania, Italy Università di Catania, Catania, Italy Costa, S. ROR:https://ror.org/02pq29p90 ROR:https://ror.org/03a64bh57 Messina U. INFN, Catania Catania U. INFN Sezione di Catania, Italy Università di Catania, Catania, Italy Di Mattia, A. ROR:https://ror.org/02pq29p90 Messina U. INFN, Catania INFN Sezione di Catania, Italy Potenza, R. ROR:https://ror.org/02pq29p90 ROR:https://ror.org/03a64bh57 Messina U. INFN, Catania Catania U. INFN Sezione di Catania, Italy Università di Catania, Catania, Italy Tricomi, A. ROR:https://ror.org/02pq29p90 ROR:https://ror.org/03a64bh57 Messina U. INFN, Catania Catania U. INFN Sezione di Catania, Italy Università di Catania, Catania, Italy Tuve, C. ROR:https://ror.org/02pq29p90 ROR:https://ror.org/03a64bh57 Messina U. INFN, Catania Catania U. INFN Sezione di Catania, Italy Università di Catania, Catania, Italy Barbagli, G. ROR:https://ror.org/02vv5y108 ROR:https://ror.org/04q4kt073 INFN, Florence U. Urbino (main) INFN Sezione di Firenze, Italy Bardelli, G. ROR:https://ror.org/02vv5y108 ROR:https://ror.org/04q4kt073 ROR:https://ror.org/04jr1s763 INFN, Florence U. Urbino (main) Florence U. INFN Sezione di Firenze, Italy Università di Firenze, Firenze, Italy Brianzi, M. ROR:https://ror.org/02vv5y108 ROR:https://ror.org/04q4kt073 INFN, Florence U. Urbino (main) INFN Sezione di Firenze, Italy Camaiani, B. ORCID:0000-0002-6396-622X ROR:https://ror.org/02vv5y108 ROR:https://ror.org/04q4kt073 ROR:https://ror.org/04jr1s763 INFN, Florence U. Urbino (main) Florence U. INFN Sezione di Firenze, Italy Università di Firenze, Firenze, Italy Cassese, A. ROR:https://ror.org/02vv5y108 ROR:https://ror.org/04q4kt073 INFN, Florence U. Urbino (main) INFN Sezione di Firenze, Italy Ceccarelli, R. ROR:https://ror.org/02vv5y108 ROR:https://ror.org/04q4kt073 ROR:https://ror.org/04jr1s763 INFN, Florence U. Urbino (main) Florence U. INFN Sezione di Firenze, Italy Università di Firenze, Firenze, Italy Ciaranfi, R. ROR:https://ror.org/02vv5y108 ROR:https://ror.org/04q4kt073 INFN, Florence U. Urbino (main) INFN Sezione di Firenze, Italy Ciulli, V. ROR:https://ror.org/02vv5y108 ROR:https://ror.org/04q4kt073 ROR:https://ror.org/04jr1s763 INFN, Florence U. Urbino (main) Florence U. INFN Sezione di Firenze, Italy Università di Firenze, Firenze, Italy Civinini, C. ROR:https://ror.org/02vv5y108 ROR:https://ror.org/04q4kt073 INFN, Florence U. Urbino (main) INFN Sezione di Firenze, Italy D'Alessandro, R. ROR:https://ror.org/02vv5y108 ROR:https://ror.org/04q4kt073 ROR:https://ror.org/04jr1s763 INFN, Florence U. Urbino (main) Florence U. INFN Sezione di Firenze, Italy Università di Firenze, Firenze, Italy Focardi, E. ROR:https://ror.org/02vv5y108 ROR:https://ror.org/04q4kt073 ROR:https://ror.org/04jr1s763 INFN, Florence U. Urbino (main) Florence U. INFN Sezione di Firenze, Italy Università di Firenze, Firenze, Italy Latino, G. ROR:https://ror.org/02vv5y108 ROR:https://ror.org/04q4kt073 ROR:https://ror.org/04jr1s763 INFN, Florence U. Urbino (main) Florence U. INFN Sezione di Firenze, Italy Università di Firenze, Firenze, Italy Lenzi, P. ROR:https://ror.org/02vv5y108 ROR:https://ror.org/04q4kt073 ROR:https://ror.org/04jr1s763 INFN, Florence U. Urbino (main) Florence U. INFN Sezione di Firenze, Italy Università di Firenze, Firenze, Italy Lizzo, M. ROR:https://ror.org/02vv5y108 ROR:https://ror.org/04q4kt073 ROR:https://ror.org/04jr1s763 INFN, Florence U. Urbino (main) Florence U. INFN Sezione di Firenze, Italy Università di Firenze, Firenze, Italy Meschini, M. ROR:https://ror.org/02vv5y108 ROR:https://ror.org/04q4kt073 INFN, Florence U. Urbino (main) INFN Sezione di Firenze, Italy Paoletti, S. ROR:https://ror.org/02vv5y108 ROR:https://ror.org/04q4kt073 INFN, Florence U. Urbino (main) INFN Sezione di Firenze, Italy Papanastassiou, A. ROR:https://ror.org/02vv5y108 ROR:https://ror.org/04q4kt073 ROR:https://ror.org/04jr1s763 INFN, Florence U. Urbino (main) Florence U. INFN Sezione di Firenze, Italy Università di Firenze, Firenze, Italy Sguazzoni, G. ROR:https://ror.org/02vv5y108 ROR:https://ror.org/04q4kt073 INFN, Florence U. Urbino (main) INFN Sezione di Firenze, Italy Viliani, L. ROR:https://ror.org/02vv5y108 ROR:https://ror.org/04q4kt073 INFN, Florence U. Urbino (main) INFN Sezione di Firenze, Italy Cerchi, S. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Sezione di Genova, Genova, Italy Ferro, F. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Sezione di Genova, Genova, Italy Robutti, E. ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Sezione di Genova, Genova, Italy Brivio, F. ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. INFN Sezione di Milano-Bicocca, Italy Dinardo, M.E. ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. INFN Sezione di Milano-Bicocca, Italy Università di Milano-Bicocca, Milano, Italy Dini, P. ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. INFN Sezione di Milano-Bicocca, Italy Gennai, S. ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. INFN Sezione di Milano-Bicocca, Italy Guzzi, L. ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. INFN Sezione di Milano-Bicocca, Italy Università di Milano-Bicocca, Milano, Italy Malvezzi, S. ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. INFN Sezione di Milano-Bicocca, Italy Menasce, D. ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. INFN Sezione di Milano-Bicocca, Italy Moroni, L. ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. INFN Sezione di Milano-Bicocca, Italy Pedrini, D. ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. INFN Sezione di Milano-Bicocca, Italy Zuolo, D. ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. INFN Sezione di Milano-Bicocca, Italy Università di Milano-Bicocca, Milano, Italy Azzi, P. ROR:https://ror.org/00z34yn88 INFN, Padua INFN Sezione di Padova, Italy Bacchetta, N. ROR:https://ror.org/00z34yn88 INFN, Padua INFN Sezione di Padova, Italy Bortignon, P. ROR:https://ror.org/00z34yn88 INFN, Padua INFN Sezione di Padova, Italy Bisello, D. ROR:https://ror.org/00z34yn88 INFN, Padua INFN Sezione di Padova, Italy Dorigo, T. ROR:https://ror.org/00z34yn88 INFN, Padua INFN Sezione di Padova, Italy Lusiani, E. ROR:https://ror.org/00z34yn88 INFN, Padua INFN Sezione di Padova, Italy Tosi, M. ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN Sezione di Padova, Italy Università di Padova, Padova, Italy Gaioni, L. ROR:https://ror.org/01st30669 ROR:https://ror.org/02mbd5571 INFN, Pavia Bergamo U. INFN Sezione di Pavia, Italy Università di Bergamo, Bergamo, Italy Manghisoni, M. ROR:https://ror.org/01st30669 ROR:https://ror.org/02mbd5571 INFN, Pavia Bergamo U. INFN Sezione di Pavia, Italy Università di Bergamo, Bergamo, Italy Ratti, L. ROR:https://ror.org/01st30669 ROR:https://ror.org/00s6t1f81 INFN, Pavia Pavia U. INFN Sezione di Pavia, Italy Università di Pavia, Pavia, Italy Re, V. ROR:https://ror.org/01st30669 ROR:https://ror.org/02mbd5571 INFN, Pavia Bergamo U. INFN Sezione di Pavia, Italy Università di Bergamo, Bergamo, Italy Riceputi, E. ROR:https://ror.org/01st30669 ROR:https://ror.org/02mbd5571 INFN, Pavia Bergamo U. INFN Sezione di Pavia, Italy Università di Bergamo, Bergamo, Italy Traversi, G. ROR:https://ror.org/01st30669 ROR:https://ror.org/02mbd5571 INFN, Pavia Bergamo U. INFN Sezione di Pavia, Italy Università di Bergamo, Bergamo, Italy Asenov, P. ROR:https://ror.org/05478fx36 INFN, Perugia INFN Sezione di Perugia, Italy CNR-IOM Perugia, Perugia, Italy Baldinelli, G. ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN Sezione di Perugia, Italy Università di Perugia, Italy Bianchi, F. ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN Sezione di Perugia, Italy Università di Perugia, Italy Bilei, G.M. ROR:https://ror.org/05478fx36 INFN, Perugia INFN Sezione di Perugia, Italy Bizzaglia, S. ROR:https://ror.org/05478fx36 INFN, Perugia INFN Sezione di Perugia, Italy Caprai, M. ROR:https://ror.org/05478fx36 INFN, Perugia INFN Sezione di Perugia, Italy Checcucci, B. ROR:https://ror.org/05478fx36 INFN, Perugia INFN Sezione di Perugia, Italy Ciangottini, D. ROR:https://ror.org/05478fx36 INFN, Perugia INFN Sezione di Perugia, Italy Di Chiaro, A. ROR:https://ror.org/05478fx36 INFN, Perugia INFN Sezione di Perugia, Italy Fanò, L. ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN Sezione di Perugia, Italy Università di Perugia, Italy Farnesini, L. ROR:https://ror.org/05478fx36 INFN, Perugia INFN Sezione di Perugia, Italy Ionica, M. ROR:https://ror.org/05478fx36 INFN, Perugia INFN Sezione di Perugia, Italy Magherini, M. ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN Sezione di Perugia, Italy Università di Perugia, Italy Mantovani, G. ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN Sezione di Perugia, Italy Università di Perugia, Italy Mariani, V. ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN Sezione di Perugia, Italy Università di Perugia, Italy Menichelli, M. ROR:https://ror.org/05478fx36 INFN, Perugia INFN Sezione di Perugia, Italy Morozzi, A. ROR:https://ror.org/05478fx36 INFN, Perugia INFN Sezione di Perugia, Italy Moscatelli, F. ROR:https://ror.org/05478fx36 INFN, Perugia INFN Sezione di Perugia, Italy CNR-IOM Perugia, Perugia, Italy Passeri, D. ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN Sezione di Perugia, Italy Università di Perugia, Italy Piccinelli, A. ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN Sezione di Perugia, Italy Università di Perugia, Italy Placidi, P. ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN Sezione di Perugia, Italy Università di Perugia, Italy Rossi, A. ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN Sezione di Perugia, Italy Università di Perugia, Italy Santocchia, A. ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN Sezione di Perugia, Italy Università di Perugia, Italy Spiga, D. ROR:https://ror.org/05478fx36 INFN, Perugia INFN Sezione di Perugia, Italy Storchi, L. ROR:https://ror.org/05478fx36 INFN, Perugia INFN Sezione di Perugia, Italy Tedeschi, T. ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN Sezione di Perugia, Italy Università di Perugia, Italy Turrioni, C. ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN Sezione di Perugia, Italy Università di Perugia, Italy Azzurri, P. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Bagliesi, G. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Basti, A. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Università di Pisa, Italy Battacharya, R. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Beccherle, R. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Benvenuti, D. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Bianchini, L. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Università di Pisa, Italy Boccali, T. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Bosi, F. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Bruschini, D. ORCID:0000-0001-7248-2967 ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 ROR:https://ror.org/03aydme10 INFN, Pisa Pisa U. Pisa, Scuola Normale Superiore INFN Sezione di Pisa, Italy Scuola Normale Superiore di Pisa, Pisa, Italy Castaldi, R. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Ciocci, M.A. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Università di Pisa, Italy D'Amante, V. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. Siena U. INFN, Siena INFN Sezione di Pisa, Italy Università di Siena, Siena, Italy Dell'Orso, R. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Donato, S. ORCID:0000-0001-7646-4977 ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Giassi, A. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Ligabue, F. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 ROR:https://ror.org/03aydme10 INFN, Pisa Pisa U. Pisa, Scuola Normale Superiore INFN Sezione di Pisa, Italy Scuola Normale Superiore di Pisa, Pisa, Italy Magazzù, G. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Massa, M. ORCID:0000-0001-6207-7511 ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Mazzoni, E. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Messineo, A. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Università di Pisa, Italy Moggi, A. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Musich, M. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Università di Pisa, Italy Palla, F. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Parolia, S. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Prosperi, P. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Raffaelli, F. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Ramirez Sanchez, G. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 ROR:https://ror.org/03aydme10 INFN, Pisa Pisa U. Pisa, Scuola Normale Superiore INFN Sezione di Pisa, Italy Scuola Normale Superiore di Pisa, Pisa, Italy Rizzi, A. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Università di Pisa, Italy Roy Chowdhury, S. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Sarkar, T. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Spagnolo, P. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Tenchini, R. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Tonelli, G. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Università di Pisa, Italy Venturi, A. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Verdini, P.G. ORCID:0000-0002-0042-9507 ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN Sezione di Pisa, Italy Bartosik, N. ROR:https://ror.org/01vj6ck58 INFN, Turin INFN Sezione di Torino, Italy Bellan, R. ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN Sezione di Torino, Italy Università di Torino, Torino, Italy Coli, S. ROR:https://ror.org/01vj6ck58 INFN, Turin INFN Sezione di Torino, Italy Costa, M. ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN Sezione di Torino, Italy Università di Torino, Torino, Italy Covarelli, R. ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN Sezione di Torino, Italy Università di Torino, Torino, Italy Dellacasa, G. ROR:https://ror.org/01vj6ck58 INFN, Turin INFN Sezione di Torino, Italy Demaria, N. ROR:https://ror.org/01vj6ck58 INFN, Turin INFN Sezione di Torino, Italy Garbolino, S. ROR:https://ror.org/01vj6ck58 INFN, Turin INFN Sezione di Torino, Italy Garrafa Botta, S. ORCID:0000-0002-8446-0973 ROR:https://ror.org/01vj6ck58 INFN, Turin INFN Sezione di Torino, Italy Grippo, M. ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN Sezione di Torino, Italy Università di Torino, Torino, Italy Luongo, F. ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN Sezione di Torino, Italy Università di Torino, Torino, Italy Mecca, A. ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN Sezione di Torino, Italy Università di Torino, Torino, Italy Migliore, E. ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN Sezione di Torino, Italy Università di Torino, Torino, Italy Ortona, G. ROR:https://ror.org/01vj6ck58 INFN, Turin INFN Sezione di Torino, Italy Pacher, L. ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN Sezione di Torino, Italy Università di Torino, Torino, Italy Rotondo, F. ROR:https://ror.org/01vj6ck58 INFN, Turin INFN Sezione di Torino, Italy Tarricone, C. ORCID:0000-0001-6233-0513 ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN Sezione di Torino, Italy Università di Torino, Torino, Italy Vagnerini, A. ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN Sezione di Torino, Italy Università di Torino, Torino, Italy Ahmad, A. ROR:https://ror.org/03e1sv842 NCP, Islamabad National Centre for Physics, Islamabad, Pakistan Asghar, M.I. ROR:https://ror.org/03e1sv842 NCP, Islamabad National Centre for Physics, Islamabad, Pakistan Awais, A. ROR:https://ror.org/03e1sv842 NCP, Islamabad National Centre for Physics, Islamabad, Pakistan Awan, M.I.M. ROR:https://ror.org/03e1sv842 NCP, Islamabad National Centre for Physics, Islamabad, Pakistan Saleh, M. ROR:https://ror.org/03e1sv842 NCP, Islamabad National Centre for Physics, Islamabad, Pakistan Calderón, A. ROR:https://ror.org/040kx1j83 Cantabria Inst. of Phys. Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander, Spain Duarte Campderros, J. ROR:https://ror.org/040kx1j83 Cantabria Inst. of Phys. Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander, Spain Fernandez, M. ROR:https://ror.org/040kx1j83 Cantabria Inst. of Phys. Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander, Spain Gomez, G. ROR:https://ror.org/040kx1j83 Cantabria Inst. of Phys. Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander, Spain Gonzalez Sanchez, F.J. ROR:https://ror.org/040kx1j83 Cantabria Inst. of Phys. Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander, Spain Jaramillo Echeverria, R. ROR:https://ror.org/040kx1j83 Cantabria Inst. of Phys. Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander, Spain Lasaosa, C. ORCID:0000-0003-2726-7111 ROR:https://ror.org/040kx1j83 Cantabria Inst. of Phys. Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander, Spain Moya, D. ROR:https://ror.org/040kx1j83 Cantabria Inst. of Phys. Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander, Spain Piedra, J. ROR:https://ror.org/040kx1j83 Cantabria Inst. of Phys. Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander, Spain Ruiz Jimeno, A. ROR:https://ror.org/040kx1j83 Cantabria Inst. of Phys. Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander, Spain Scodellaro, L. ROR:https://ror.org/040kx1j83 Cantabria Inst. of Phys. Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander, Spain Vila, I. ROR:https://ror.org/040kx1j83 Cantabria Inst. of Phys. Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander, Spain Virto, A.L. ROR:https://ror.org/040kx1j83 Cantabria Inst. of Phys. Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander, Spain Vizan Garcia, J.M. ROR:https://ror.org/040kx1j83 Cantabria Inst. of Phys. Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander, Spain Abbaneo, D. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Abbas, M. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Ahmed, I. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Albert, E. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Allongue, B. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Almeida, J. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Barinoff, M. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Batista Lopes, J. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Bergamin, G. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Blanchot, G. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Boyer, F. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Caratelli, A. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Carnesecchi, R. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Ceresa, D. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Christiansen, J. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Daguin, J. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Diamantis, A. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Dudek, M. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Faccio, F. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Frank, N. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland French, T. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Golyzniak, D. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Kaplon, J. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Kloukinas, K. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Koss, N. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Kottelat, L. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Kovacs, M. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Lalic, J. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland La Rosa, A. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Lenoir, P. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Loos, R. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Marchioro, A. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Mastronikolis, A. ORCID:0000-0002-8265-6729 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Mateos Dominguez, I. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Mersi, S. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Michelis, S. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Nedergaard, C. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Onnela, A. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Orfanelli, S. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Pakulski, T. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Papadopoulos, A. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Perea Albela, F. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Perez, A. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Perez Gomez, F. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Pernot, J.F. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Petagna, P. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Piazza, Q. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Robin, G. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Scarfì, S. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Schleidweiler, K. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Siegrist, N. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Sinani, M. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Szidlik, P. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Tropea, P. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Troska, J. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Tsirou, A. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Vasey, F. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Vrancianu, R. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Wlodarczyk, S. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Zografos, A. ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Bertl, W. ROR:https://ror.org/03eh3y714 PSI, Villigen Paul Scherrer Institut, Villigen, Switzerland Bevilacqua, T. ROR:https://ror.org/03eh3y714 PSI, Villigen Paul Scherrer Institut, Villigen, Switzerland Caminada, L. ROR:https://ror.org/03eh3y714 PSI, Villigen Paul Scherrer Institut, Villigen, Switzerland Ebrahimi, A. ROR:https://ror.org/03eh3y714 PSI, Villigen Paul Scherrer Institut, Villigen, Switzerland Erdmann, W. ROR:https://ror.org/03eh3y714 PSI, Villigen Paul Scherrer Institut, Villigen, Switzerland Horisberger, R. ROR:https://ror.org/03eh3y714 PSI, Villigen Paul Scherrer Institut, Villigen, Switzerland Kaestli, H.C. ROR:https://ror.org/03eh3y714 PSI, Villigen Paul Scherrer Institut, Villigen, Switzerland Kotlinski, D. ROR:https://ror.org/03eh3y714 PSI, Villigen Paul Scherrer Institut, Villigen, Switzerland Lange, C. ROR:https://ror.org/03eh3y714 PSI, Villigen Paul Scherrer Institut, Villigen, Switzerland Langenegger, U. ROR:https://ror.org/03eh3y714 PSI, Villigen Paul Scherrer Institut, Villigen, Switzerland Meier, B. ROR:https://ror.org/03eh3y714 PSI, Villigen Paul Scherrer Institut, Villigen, Switzerland Missiroli, M. ROR:https://ror.org/03eh3y714 PSI, Villigen Paul Scherrer Institut, Villigen, Switzerland Noehte, L. ROR:https://ror.org/03eh3y714 PSI, Villigen Paul Scherrer Institut, Villigen, Switzerland Rohe, T. ROR:https://ror.org/03eh3y714 PSI, Villigen Paul Scherrer Institut, Villigen, Switzerland Streuli, S. ROR:https://ror.org/03eh3y714 PSI, Villigen Paul Scherrer Institut, Villigen, Switzerland Androsov, K. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland Backhaus, M. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland Becker, R. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland Bonomelli, G. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland di Calafiori, D. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland Calandri, A. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland de Cosa, A. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland Donega, M. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland Eble, F. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland Glessgen, F. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland Grab, C. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland Harte, T. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland Hits, D. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland Lustermann, W. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland Niedziela, J. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland Perovic, V. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland Reichmann, M. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland Ristic, B. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland Roeser, U. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland Ruini, D. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland Seidita, R. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland Sörensen, J. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland Wallny, R. ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics andAstrophysics, ETH Zurich, Zurich, Switzerland Bärtschi, P. ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Bösiger, K. ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Canelli, F. ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Cormier, K. ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland De Wit, A. ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Huwiler, M. ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Jin, W. ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Jofrehei, A. ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Kilminster, B. ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Leontsinis, S. ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Liechti, S.P. ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Macchiolo, A. ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Maier, R. ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Molinatti, U. ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Neutelings, I. ORCID:0009-0002-6473-1403 ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Reimers, A. ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Robmann, P. ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Sanchez Cruz, S. ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Takahashi, Y. ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Wolf, D. ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Chen, P.H. ROR:https://ror.org/05bqach95 Taiwan, Natl. Taiwan U. National Taiwan University (NTU), Taipei, Taiwan Hou, W.S. ROR:https://ror.org/05bqach95 Taiwan, Natl. Taiwan U. National Taiwan University (NTU), Taipei, Taiwan Lu, R.S. ROR:https://ror.org/05bqach95 Taiwan, Natl. Taiwan U. National Taiwan University (NTU), Taipei, Taiwan Clement, E. ROR:https://ror.org/0524sp257 U. Bristol (main) University of Bristol, Bristol, United Kingdom Cussans, D. ROR:https://ror.org/0524sp257 U. Bristol (main) University of Bristol, Bristol, United Kingdom Goldstein, J. ROR:https://ror.org/0524sp257 U. Bristol (main) University of Bristol, Bristol, United Kingdom Seif El Nasr-Storey, S. ROR:https://ror.org/0524sp257 U. Bristol (main) University of Bristol, Bristol, United Kingdom Stylianou, N. ROR:https://ror.org/0524sp257 U. Bristol (main) University of Bristol, Bristol, United Kingdom Walkingshaw Pass, K. ROR:https://ror.org/0524sp257 U. Bristol (main) University of Bristol, Bristol, United Kingdom Harder, K. ROR:https://ror.org/03gq8fr08 Rutherford Rutherford Appleton Laboratory, Didcot, United Kingdom Holmberg, M.L. ROR:https://ror.org/03gq8fr08 Rutherford Rutherford Appleton Laboratory, Didcot, United Kingdom Manolopoulos, K. ROR:https://ror.org/03gq8fr08 Rutherford Rutherford Appleton Laboratory, Didcot, United Kingdom Schuh, T. ROR:https://ror.org/03gq8fr08 Rutherford Rutherford Appleton Laboratory, Didcot, United Kingdom Tomalin, I.R. ROR:https://ror.org/03gq8fr08 Rutherford Rutherford Appleton Laboratory, Didcot, United Kingdom Bainbridge, R. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College, London, United Kingdom Borg, J. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College, London, United Kingdom Brown, C. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College, London, United Kingdom Fedi, G. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College, London, United Kingdom Hall, G. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College, London, United Kingdom Monk, D. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College, London, United Kingdom Parker, D. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College, London, United Kingdom Pesaresi, M. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College, London, United Kingdom Uchida, K. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College, London, United Kingdom Coldham, K. ROR:https://ror.org/00dn4t376 Brunel U. Brunel University, Uxbridge, United Kingdom Cole, J. ROR:https://ror.org/00dn4t376 Brunel U. Brunel University, Uxbridge, United Kingdom Ghorbani, M. ROR:https://ror.org/00dn4t376 Brunel U. Brunel University, Uxbridge, United Kingdom Khan, A. ROR:https://ror.org/00dn4t376 Brunel U. Brunel University, Uxbridge, United Kingdom Kyberd, P. ROR:https://ror.org/00dn4t376 Brunel U. Brunel University, Uxbridge, United Kingdom Reid, I.D. ROR:https://ror.org/00dn4t376 Brunel U. Brunel University, Uxbridge, United Kingdom Bartek, R. ROR:https://ror.org/047yk3s18 Catholic U. The Catholic University of America, Washington DC, U.S.A. Dominguez, A. ROR:https://ror.org/047yk3s18 Catholic U. The Catholic University of America, Washington DC, U.S.A. Huerta Escamilla, C. ROR:https://ror.org/047yk3s18 Catholic U. The Catholic University of America, Washington DC, U.S.A. Uniyal, R. ROR:https://ror.org/047yk3s18 Catholic U. The Catholic University of America, Washington DC, U.S.A. Vargas Hernandez, A.M. ROR:https://ror.org/047yk3s18 Catholic U. The Catholic University of America, Washington DC, U.S.A. Benelli, G. ROR:https://ror.org/05gq02987 Brown U. Brown University, Providence, U.S.A. Coubez, X. ROR:https://ror.org/05gq02987 Brown U. Brown University, Providence, U.S.A. Heintz, U. ROR:https://ror.org/05gq02987 Brown U. Brown University, Providence, U.S.A. Hinton, N. ROR:https://ror.org/05gq02987 Brown U. Brown University, Providence, U.S.A. Hogan, J. ROR:https://ror.org/05gq02987 Brown U. Brown University, Providence, U.S.A. Honma, A. ROR:https://ror.org/05gq02987 Brown U. Brown University, Providence, U.S.A. Korotkov, A. ROR:https://ror.org/05gq02987 Brown U. Brown University, Providence, U.S.A. Li, D. ROR:https://ror.org/05gq02987 Brown U. Brown University, Providence, U.S.A. Luo, J. ROR:https://ror.org/05gq02987 Brown U. Brown University, Providence, U.S.A. Narain, M. ROR:https://ror.org/05gq02987 Brown U. Brown University, Providence, U.S.A. Pervan, N. ROR:https://ror.org/05gq02987 Brown U. Brown University, Providence, U.S.A. Russell, T. ROR:https://ror.org/05gq02987 Brown U. Brown University, Providence, U.S.A. Sagir, S. ROR:https://ror.org/05gq02987 Brown U. Brown University, Providence, U.S.A. Simpson, F. ROR:https://ror.org/05gq02987 Brown U. Brown University, Providence, U.S.A. Spencer, E. ROR:https://ror.org/05gq02987 Brown U. Brown University, Providence, U.S.A. Tiley, C. ROR:https://ror.org/05gq02987 Brown U. Brown University, Providence, U.S.A. Wagenknecht, P. ROR:https://ror.org/05gq02987 Brown U. Brown University, Providence, U.S.A. Cannaert, E. ROR:https://ror.org/05rrcem69 UC, Davis University of California, Davis, Davis, U.S.A. Chertok, M. ROR:https://ror.org/05rrcem69 UC, Davis University of California, Davis, Davis, U.S.A. Conway, J. ROR:https://ror.org/05rrcem69 UC, Davis University of California, Davis, Davis, U.S.A. Haza, G. ROR:https://ror.org/05rrcem69 UC, Davis University of California, Davis, Davis, U.S.A. Hemer, D. ROR:https://ror.org/05rrcem69 UC, Davis University of California, Davis, Davis, U.S.A. Jensen, F. ROR:https://ror.org/05rrcem69 UC, Davis University of California, Davis, Davis, U.S.A. Thomson, J. ROR:https://ror.org/05rrcem69 UC, Davis University of California, Davis, Davis, U.S.A. Wei, W. ROR:https://ror.org/05rrcem69 UC, Davis University of California, Davis, Davis, U.S.A. Welton, T. ROR:https://ror.org/05rrcem69 UC, Davis University of California, Davis, Davis, U.S.A. Yohay, R. ORCID:0000-0002-0124-9065 ROR:https://ror.org/05rrcem69 UC, Davis University of California, Davis, Davis, U.S.A. Zhang, F. ROR:https://ror.org/05rrcem69 UC, Davis University of California, Davis, Davis, U.S.A. Hanson, G. ROR:https://ror.org/03nawhv43 UC, Riverside University of California, Riverside, Riverside, U.S.A. Cooperstein, S.B. San Diego, CASS University of California, San Diego, La Jolla, U.S.A. Gerosa, R. San Diego, CASS University of California, San Diego, La Jolla, U.S.A. Giannini, L. San Diego, CASS University of California, San Diego, La Jolla, U.S.A. Gu, Y. San Diego, CASS University of California, San Diego, La Jolla, U.S.A. Krutelyov, S. San Diego, CASS University of California, San Diego, La Jolla, U.S.A. Sathia, B.N. San Diego, CASS University of California, San Diego, La Jolla, U.S.A. Sharma, V. San Diego, CASS University of California, San Diego, La Jolla, U.S.A. Tadel, M. San Diego, CASS University of California, San Diego, La Jolla, U.S.A. Vourliotis, E. San Diego, CASS University of California, San Diego, La Jolla, U.S.A. Yagil, A. San Diego, CASS University of California, San Diego, La Jolla, U.S.A. Incandela, J. ROR:https://ror.org/02t274463 UC, Santa Barbara University of California, Santa Barbara - Department of Physics, Santa Barbara, U.S.A. Kyre, S. ROR:https://ror.org/02t274463 UC, Santa Barbara University of California, Santa Barbara - Department of Physics, Santa Barbara, U.S.A. Masterson, P. ROR:https://ror.org/02t274463 UC, Santa Barbara University of California, Santa Barbara - Department of Physics, Santa Barbara, U.S.A. Cumalat, J.P. ROR:https://ror.org/02ttsq026 U. Colorado, Boulder University of Colorado Boulder, Boulder, U.S.A. Ford, W.T. ROR:https://ror.org/02ttsq026 U. Colorado, Boulder University of Colorado Boulder, Boulder, U.S.A. Hassani, A. ROR:https://ror.org/02ttsq026 U. Colorado, Boulder University of Colorado Boulder, Boulder, U.S.A. Karathanasis, G. ROR:https://ror.org/02ttsq026 U. Colorado, Boulder University of Colorado Boulder, Boulder, U.S.A. Marini, F. ROR:https://ror.org/02ttsq026 U. Colorado, Boulder University of Colorado Boulder, Boulder, U.S.A. Savard, C. ROR:https://ror.org/02ttsq026 U. Colorado, Boulder University of Colorado Boulder, Boulder, U.S.A. Schonbeck, N. ROR:https://ror.org/02ttsq026 U. Colorado, Boulder University of Colorado Boulder, Boulder, U.S.A. Stenson, K. ROR:https://ror.org/02ttsq026 U. Colorado, Boulder University of Colorado Boulder, Boulder, U.S.A. Ulmer, K.A. ROR:https://ror.org/02ttsq026 U. Colorado, Boulder University of Colorado Boulder, Boulder, U.S.A. Wagner, S.R. ROR:https://ror.org/02ttsq026 U. Colorado, Boulder University of Colorado Boulder, Boulder, U.S.A. Zipper, N. ROR:https://ror.org/02ttsq026 U. Colorado, Boulder University of Colorado Boulder, Boulder, U.S.A. Alexander, J. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Bright-Thonney, S. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Chen, X. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Cranshaw, D. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Duquette, A. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Fan, J. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Fan, X. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Filenius, A. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Gadkari, D. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Grassi, J. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Hogan, S. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Kotamnives, P. ORCID:0000-0001-8003-2149 ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Lantz, S. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Monroy, J. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Niendorf, G. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Postema, H. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Reichert, J. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Reid, M. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Riley, D. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Ryd, A. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Smolenski, K. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Strohman, C. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Thom, J. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Wittich, P. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Zou, R. ROR:https://ror.org/05bnh6r87 Cornell U., LNS Cornell University, Ithaca, U.S.A. Bakshi, A. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Berry, D.R. ORCID:0000-0002-5383-8320 ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Burkett, K. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Butler, D. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Canepa, A. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Derylo, G. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Dickinson, J. ORCID:0000-0001-5450-5328 ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Ghosh, A. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Gonzalez, H. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Grünendahl, S. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Horyn, L. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Johnson, M. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Klabbers, P. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Lei, C.M. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Lipton, R. ORCID:0000-0002-6665-7289 ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Los, S. ORCID:0000-0001-8637-5628 ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Merkel, P. ORCID:0000-0003-4727-5442 ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Nahn, S. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Ravera, F. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Ristori, L. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Rivera, R. ORCID:0000-0003-3979-3522 ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Spiegel, L. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Uplegger, L. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Voirin, E. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Zoi, I. ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, Batavia, U.S.A. Dittmer, S. ROR:https://ror.org/02mpq6x41 Illinois U., Chicago University of Illinois at Chicago (UIC), Chicago, U.S.A. Escobar Franco, R. ROR:https://ror.org/02mpq6x41 Illinois U., Chicago University of Illinois at Chicago (UIC), Chicago, U.S.A. Evdokimov, A. ORCID:0000-0002-1296-5825 ROR:https://ror.org/02mpq6x41 Illinois U., Chicago University of Illinois at Chicago (UIC), Chicago, U.S.A. Evdokimov, O. ROR:https://ror.org/02mpq6x41 Illinois U., Chicago University of Illinois at Chicago (UIC), Chicago, U.S.A. Gerber, C.E. ROR:https://ror.org/02mpq6x41 Illinois U., Chicago University of Illinois at Chicago (UIC), Chicago, U.S.A. Hackworth, M. ROR:https://ror.org/02mpq6x41 Illinois U., Chicago University of Illinois at Chicago (UIC), Chicago, U.S.A. Hofman, D.J. ROR:https://ror.org/02mpq6x41 Illinois U., Chicago University of Illinois at Chicago (UIC), Chicago, U.S.A. Mills, C. ROR:https://ror.org/02mpq6x41 Illinois U., Chicago University of Illinois at Chicago (UIC), Chicago, U.S.A. Ozek, B. ROR:https://ror.org/02mpq6x41 Illinois U., Chicago University of Illinois at Chicago (UIC), Chicago, U.S.A. Roy, T. ROR:https://ror.org/02mpq6x41 Illinois U., Chicago University of Illinois at Chicago (UIC), Chicago, U.S.A. Rudrabhatla, S. ROR:https://ror.org/02mpq6x41 Illinois U., Chicago University of Illinois at Chicago (UIC), Chicago, U.S.A. Yoo, J. ROR:https://ror.org/02mpq6x41 Illinois U., Chicago University of Illinois at Chicago (UIC), Chicago, U.S.A. Alhusseini, M. ROR:https://ror.org/036jqmy94 Iowa U. The University of Iowa, Iowa City, U.S.A. Bruner, T. ROR:https://ror.org/036jqmy94 Iowa U. The University of Iowa, Iowa City, U.S.A. Haag, M. ROR:https://ror.org/036jqmy94 Iowa U. The University of Iowa, Iowa City, U.S.A. Herrmann, M. ROR:https://ror.org/036jqmy94 Iowa U. The University of Iowa, Iowa City, U.S.A. Nachtman, J. ROR:https://ror.org/036jqmy94 Iowa U. The University of Iowa, Iowa City, U.S.A. Onel, Y. ROR:https://ror.org/036jqmy94 Iowa U. The University of Iowa, Iowa City, U.S.A. Snyder, C. ROR:https://ror.org/036jqmy94 Iowa U. The University of Iowa, Iowa City, U.S.A. Yi, K. ROR:https://ror.org/036jqmy94 Iowa U. The University of Iowa, Iowa City, U.S.A. Davis, J. ROR:https://ror.org/00za53h95 Johns Hopkins U. Johns Hopkins University, Baltimore, U.S.A. Gritsan, A. ROR:https://ror.org/00za53h95 Johns Hopkins U. Johns Hopkins University, Baltimore, U.S.A. Kang, L. ROR:https://ror.org/00za53h95 Johns Hopkins U. Johns Hopkins University, Baltimore, U.S.A. Kyriacou, S. ROR:https://ror.org/00za53h95 Johns Hopkins U. Johns Hopkins University, Baltimore, U.S.A. Maksimovic, P. ROR:https://ror.org/00za53h95 Johns Hopkins U. Johns Hopkins University, Baltimore, U.S.A. Sekhar, S. ROR:https://ror.org/00za53h95 Johns Hopkins U. Johns Hopkins University, Baltimore, U.S.A. Swartz, M. ROR:https://ror.org/00za53h95 Johns Hopkins U. Johns Hopkins University, Baltimore, U.S.A. Vami, T. ROR:https://ror.org/00za53h95 Johns Hopkins U. Johns Hopkins University, Baltimore, U.S.A. Anguiano, J. ROR:https://ror.org/001tmjg57 Kansas U. The University of Kansas, Lawrence, U.S.A. Bean, A. ROR:https://ror.org/001tmjg57 Kansas U. The University of Kansas, Lawrence, U.S.A. Grove, D. ROR:https://ror.org/001tmjg57 Kansas U. The University of Kansas, Lawrence, U.S.A. Salvatico, R. ROR:https://ror.org/001tmjg57 Kansas U. The University of Kansas, Lawrence, U.S.A. Smith, C. ROR:https://ror.org/001tmjg57 Kansas U. The University of Kansas, Lawrence, U.S.A. Wilson, G. ROR:https://ror.org/001tmjg57 Kansas U. The University of Kansas, Lawrence, U.S.A. Ivanov, A. ROR:https://ror.org/05p1j8758 Kansas State U. Kansas State University, Manhattan, U.S.A. Kalogeropoulos, A. ROR:https://ror.org/05p1j8758 Kansas State U. Kansas State University, Manhattan, U.S.A. Reddy, G. ROR:https://ror.org/05p1j8758 Kansas State U. Kansas State University, Manhattan, U.S.A. Taylor, R. ROR:https://ror.org/05p1j8758 Kansas State U. Kansas State University, Manhattan, U.S.A. Bloom, K. ROR:https://ror.org/043mer456 Nebraska U. University of Nebraska-Lincoln, Lincoln, U.S.A. Claes, D.R. ROR:https://ror.org/043mer456 Nebraska U. University of Nebraska-Lincoln, Lincoln, U.S.A. Fangmeier, C. ROR:https://ror.org/043mer456 Nebraska U. University of Nebraska-Lincoln, Lincoln, U.S.A. Golf, F. ROR:https://ror.org/043mer456 Nebraska U. University of Nebraska-Lincoln, Lincoln, U.S.A. Joo, C. ROR:https://ror.org/043mer456 Nebraska U. University of Nebraska-Lincoln, Lincoln, U.S.A. Kravchenko, I. ROR:https://ror.org/043mer456 Nebraska U. University of Nebraska-Lincoln, Lincoln, U.S.A. Siado, J. ROR:https://ror.org/043mer456 Nebraska U. University of Nebraska-Lincoln, Lincoln, U.S.A. Iashvili, I. ROR:https://ror.org/01y64my43 SUNY, Buffalo State University of New York at Buffalo, Buffalo, U.S.A. Kharchilava, A. ROR:https://ror.org/01y64my43 SUNY, Buffalo State University of New York at Buffalo, Buffalo, U.S.A. Nguyen, D. ROR:https://ror.org/01y64my43 SUNY, Buffalo State University of New York at Buffalo, Buffalo, U.S.A. Pekkanen, J. ROR:https://ror.org/01y64my43 SUNY, Buffalo State University of New York at Buffalo, Buffalo, U.S.A. Rappoccio, S. ROR:https://ror.org/01y64my43 SUNY, Buffalo State University of New York at Buffalo, Buffalo, U.S.A. Akpinar, A. ROR:https://ror.org/05qwgg493 Boston U. Boston University, Boston, U.S.A. Demiragli, Z. ROR:https://ror.org/05qwgg493 Boston U. Boston University, Boston, U.S.A. Gastler, D. ROR:https://ror.org/05qwgg493 Boston U. Boston University, Boston, U.S.A. Gkountoumis, P. ROR:https://ror.org/05qwgg493 Boston U. Boston University, Boston, U.S.A. Hazen, E. ROR:https://ror.org/05qwgg493 Boston U. Boston University, Boston, U.S.A. Peck, A. ROR:https://ror.org/05qwgg493 Boston U. Boston University, Boston, U.S.A. Rohlf, J. ROR:https://ror.org/05qwgg493 Boston U. Boston University, Boston, U.S.A. Li, J. ROR:https://ror.org/04t5xt781 Northeastern U. Northeastern University, Boston, U.S.A. Parker, A. ROR:https://ror.org/04t5xt781 Northeastern U. Northeastern University, Boston, U.S.A. Skinnari, L. ROR:https://ror.org/04t5xt781 Northeastern U. Northeastern University, Boston, U.S.A. Hahn, K. ORCID:0000-0001-7892-1676 ROR:https://ror.org/000e0be47 Northwestern U. Northwestern University, Evanston, U.S.A. Liu, Y. ROR:https://ror.org/000e0be47 Northwestern U. Northwestern University, Evanston, U.S.A. Noorudhin, S. ROR:https://ror.org/000e0be47 Northwestern U. Northwestern University, Evanston, U.S.A. Basnet, A. ROR:https://ror.org/00rs6vg23 Ohio State U. The Ohio State University, Columbus, U.S.A. Hill, C.S. ROR:https://ror.org/00rs6vg23 Ohio State U. The Ohio State University, Columbus, U.S.A. Joyce, M. ROR:https://ror.org/00rs6vg23 Ohio State U. The Ohio State University, Columbus, U.S.A. Wei, K. ROR:https://ror.org/00rs6vg23 Ohio State U. The Ohio State University, Columbus, U.S.A. Winer, B. ROR:https://ror.org/00rs6vg23 Ohio State U. The Ohio State University, Columbus, U.S.A. Yates, B. ROR:https://ror.org/00rs6vg23 Ohio State U. The Ohio State University, Columbus, U.S.A. Malik, S. ROR:https://ror.org/00wek6x04 Puerto Rico U., Mayaguez University of Puerto Rico, Mayaguez, U.S.A. Chawla, R. ROR:https://ror.org/02dqehb95 Purdue U. Purdue University, West Lafayette, U.S.A. Das, S. ROR:https://ror.org/02dqehb95 Purdue U. Purdue University, West Lafayette, U.S.A. Jones, M. ROR:https://ror.org/02dqehb95 Purdue U. Purdue University, West Lafayette, U.S.A. Jung, A. ROR:https://ror.org/02dqehb95 Purdue U. Purdue University, West Lafayette, U.S.A. Koshy, A. ROR:https://ror.org/02dqehb95 Purdue U. Purdue University, West Lafayette, U.S.A. Liu, M. ROR:https://ror.org/02dqehb95 Purdue U. Purdue University, West Lafayette, U.S.A. Negro, G. ROR:https://ror.org/02dqehb95 Purdue U. Purdue University, West Lafayette, U.S.A. Schulte, J.F. ROR:https://ror.org/02dqehb95 Purdue U. Purdue University, West Lafayette, U.S.A. Thieman, J. ROR:https://ror.org/02dqehb95 Purdue U. Purdue University, West Lafayette, U.S.A. Dolen, J. Purdue U., Hammond Purdue University Northwest, Hammond, U.S.A. Parashar, N. Purdue U., Hammond Purdue University Northwest, Hammond, U.S.A. Pathak, A. Purdue U., Hammond Purdue University Northwest, Hammond, U.S.A. Ecklund, K.M. ROR:https://ror.org/008zs3103 Rice U. Rice University, Houston, U.S.A. Freed, S. ROR:https://ror.org/008zs3103 Rice U. Rice University, Houston, U.S.A. Kumar, A. ROR:https://ror.org/008zs3103 Rice U. Rice University, Houston, U.S.A. Nussbaum, T. ROR:https://ror.org/008zs3103 Rice U. Rice University, Houston, U.S.A. Demina, R. ROR:https://ror.org/022kthw22 Rochester U. University of Rochester, Rochester, U.S.A. Dulemba, J. ROR:https://ror.org/022kthw22 Rochester U. University of Rochester, Rochester, U.S.A. Hindrichs, O. ROR:https://ror.org/022kthw22 Rochester U. University of Rochester, Rochester, U.S.A. Gershtein, Y. ROR:https://ror.org/05vt9qd57 Rutgers U., Piscataway Rutgers, The State University of New Jersey, Piscataway, U.S.A. Halkiadakis, E. ROR:https://ror.org/05vt9qd57 Rutgers U., Piscataway Rutgers, The State University of New Jersey, Piscataway, U.S.A. Hart, A. ROR:https://ror.org/05vt9qd57 Rutgers U., Piscataway Rutgers, The State University of New Jersey, Piscataway, U.S.A. Kurup, C. ROR:https://ror.org/05vt9qd57 Rutgers U., Piscataway Rutgers, The State University of New Jersey, Piscataway, U.S.A. Lath, A. ROR:https://ror.org/05vt9qd57 Rutgers U., Piscataway Rutgers, The State University of New Jersey, Piscataway, U.S.A. Nash, K. ROR:https://ror.org/05vt9qd57 Rutgers U., Piscataway Rutgers, The State University of New Jersey, Piscataway, U.S.A. Osherson, M. ROR:https://ror.org/05vt9qd57 Rutgers U., Piscataway Rutgers, The State University of New Jersey, Piscataway, U.S.A. Schnetzer, S. ROR:https://ror.org/05vt9qd57 Rutgers U., Piscataway Rutgers, The State University of New Jersey, Piscataway, U.S.A. Stone, R. ROR:https://ror.org/05vt9qd57 Rutgers U., Piscataway Rutgers, The State University of New Jersey, Piscataway, U.S.A. Ally, D. ROR:https://ror.org/020f3ap87 Tennessee U. University of Tennessee, Knoxville, U.S.A. Fiorendi, S. ROR:https://ror.org/020f3ap87 Tennessee U. University of Tennessee, Knoxville, U.S.A. Harris, J. ROR:https://ror.org/020f3ap87 Tennessee U. University of Tennessee, Knoxville, U.S.A. Holmes, T. ORCID:0000-0002-3959-5174 ROR:https://ror.org/020f3ap87 Tennessee U. University of Tennessee, Knoxville, U.S.A. Lee, L. ROR:https://ror.org/020f3ap87 Tennessee U. University of Tennessee, Knoxville, U.S.A. Nibigira, E. ROR:https://ror.org/020f3ap87 Tennessee U. University of Tennessee, Knoxville, U.S.A. Spanier, S. ROR:https://ror.org/020f3ap87 Tennessee U. University of Tennessee, Knoxville, U.S.A. Eusebi, R. ROR:https://ror.org/01f5ytq51 Texas A-M Texas A&M University, College Station, U.S.A. D'Angelo, P. ROR:https://ror.org/02vm5rt34 Vanderbilt U. Vanderbilt University, Nashville, U.S.A. Johns, W. ROR:https://ror.org/02vm5rt34 Vanderbilt U. Vanderbilt University, Nashville, U.S.A. Harr, R. ROR:https://ror.org/01070mq45 Wayne State U. Wayne State University, Detroit, U.S.A. Poudyal, N. ROR:https://ror.org/01070mq45 Wayne State U. Wayne State University, Detroit, U.S.A. Tracker Group of the CMS Collaboration P04001 04 JINST 18 2023 https://lss.fnal.gov/archive/2022/pub/fermilab-pub-22-355-cms-ppd-scd.pdf Fermilab Library Server 2420248 25807 http://cds.cern.ch/record/2847465/files/BeamProfile_2017_11_November_300V_15C_NotIrradiated.png 00007 : 2420249 25907 http://cds.cern.ch/record/2847465/files/SeedEfficiencySummaryTotal.png 00023 : 2420250 12240 http://cds.cern.ch/record/2847465/files/resolutionVsAnglesWidth2Seed_NotVsFullyIrradiated.png 00045 : : Resolution as a function of incident angle for clusters of width one (a) and width two (b). Results are shown for the correlated sensor of the unirradiated and fully irradiated mini-module. 2420251 35644 http://cds.cern.ch/record/2847465/files/2018_06_June_ThresholdScan_Noise_600V_-20C_HalfIrradiated_PostAnnealing_AllSensor.png 00020 : 2420252 25872 http://cds.cern.ch/record/2847465/files/DLLScanClusterSize_FullyIrradiated.png 00031 : : (a) Particle detection efficiency as a function of the clock phase and (b) mean cluster width as a function of the clock phase, for the fully irradiated mini-module. 2420253 31033 http://cds.cern.ch/record/2847465/files/Resolution_Run2394_Seed.png 00039 : 2420254 28908 http://cds.cern.ch/record/2847465/files/UnirradiatedPTScanStubSummary.png 00055 : 2420255 13495 http://cds.cern.ch/record/2847465/files/DllAlignmentScan.png 00017 : : (a) Particle detection efficiency as a function of the TDC phase, in units of 3.125 ns for the seed and correlated sensors of the unirradiated mini-module. (b) Number of hits as a function of the DLL delay for three different latencies. 2420256 30784 http://cds.cern.ch/record/2847465/files/Resolution_Run2394_Stub.png 00043 : : Stub residual distributions for the unirradiated (a) and fully irradiated (b) mini-module. The cluster of width one distribution was fitted using a constant linear function convolved with a Gaussian function. The cluster of width two distribution was fitted using a Gaussian function with an offset. 2420257 28887 http://cds.cern.ch/record/2847465/files/ThresholdScanSummary.png 00052 Most probable value of the Landau distribution as a function of the bias voltage for different irradiation fluences. 2420258 887466 http://cds.cern.ch/record/2847465/files/DAQ_Sketch.png 00005 Data acquisition schematic view. The mini-module is connected to the FC7 back-end board through a VHDCI. The FC7 is then connected to the DAQ computer with an ethernet cable. 2420259 35942 http://cds.cern.ch/record/2847465/files/2018_12_December_ThresholdScan_Noise_600V_-20C_FullyIrradiated_AllSensor.png 00021 : Particle detection efficiency and noise occupancy as a function of \Vcth~for the unirradiated (a), half irradiated (b), and fully irradiated (c) mini-module. The dashed lines correspond to the optimal threshold. : Caption not extracted 2420260 30334 http://cds.cern.ch/record/2847465/files/FirstSecondHitEfficiency_ThresholdScan.png 00027 : 2420261 36732 http://cds.cern.ch/record/2847465/files/CorrelatedLangaussSummary.png 00051 : : Distributions of the convolution of a Landau function with a Gaussian function, obtained by differentiating the fitting functions to the threshold scans, for the (a) seed sensor and (b) correlated sensor. The dashed lines indicate the Landau functions' most probable value. 2420262 11665 http://cds.cern.ch/record/2847465/files/ClusterSizeAngleSummary.png 00033 : : Cluster width for selected values of \Vcth~(a) and incident angle (b) for the unirradiated mini-module. 2420263 26497 http://cds.cern.ch/record/2847465/files/DLLScan_FullyIrradiated.png 00030 : 2420264 13968 http://cds.cern.ch/record/2847465/files/PhaseScan_NotIrradiated_Latency35.png 00016 : 2420265 28821 http://cds.cern.ch/record/2847465/files/FirstSecondHitSummary.png 00028 : : Particle detection efficiency as a function of the track location with respect to the center between adjacent strips for different thresholds of the unirradiated mini-module (a) and for different irradiation fluences (b). 2420266 12271 http://cds.cern.ch/record/2847465/files/CalibrationSCurve_2017_11_November_300V_15C_NotIrradiated.png 00009 Single channel S-curve for the unirradiated mini-module. 2420267 12094 http://cds.cern.ch/record/2847465/files/Noise_15C_-20C_NotIrradiated.png 00011 : : (a) Pedestal and (b) noise distributions for the unirradiated mini-module. 2420268 11976 http://cds.cern.ch/record/2847465/files/Pedestals_15C_-20C_NotIrradiated.png 00010 : 2420269 13249 http://cds.cern.ch/record/2847465/files/resolutionVsAnglesWidth1Stub_NotVsFullyIrradiated.png 00046 : 2420270 29846 http://cds.cern.ch/record/2847465/files/Resolution_Run42_Correlated.png 00040 : : Residual distributions for clusters of width one and two for the unirradiated (a), fully irradiated (b) seed and unirradiated (c), fully irradiated (d) correlated mini-module sensors. The cluster of width one distribution was fitted using a constant linear function convolved with a Gaussian function. The cluster of width two distribution was fitted using a Gaussian function with an offset. 2420271 13916 http://cds.cern.ch/record/2847465/files/FullyIrradiatedPTScanStubSummary.png 00056 : : Stub efficiency vs. $p_\text{T}$ for the unirradiated (a) and fully irradiated (b) mini-module. 2420272 24288 http://cds.cern.ch/record/2847465/files/AngleScanClusterFraction_Tolerance7strips_FullyIrradiatedDUT1.png 00036 : Fraction of clusters with different widths shown as a function of the incident angle. Results are shown for the correlated sensor of the (a) unirradiated , (b) half irradiated and (c) fully irradiated mini-module. : Caption not extracted 2420273 14515 http://cds.cern.ch/record/2847465/files/MeanClusterAnglesSummary.png 00037 Mean cluster width as a function of incident angle. Results are shown for the correlated sensor of the unirradiated, half irradiated and fully irradiated mini-module. 2420274 1158683 http://cds.cern.ch/record/2847465/files/FTBF.png 00006 FTBF silicon telescope. The mini-module is installed in the middle. 2420275 44577 http://cds.cern.ch/record/2847465/files/AllClusterEfficiencyVsStrip_2018_12_December_600V_-20C_FullyIrradiated.png 00026 : : Particle detection efficiency along the sensor for the unirradiated (a) and the fully irradiated (b) mini-module. 2420276 13220 http://cds.cern.ch/record/2847465/files/resolutionVsAnglesWidth1Seed_NotVsFullyIrradiated.png 00044 : 2420277 286116 http://cds.cern.ch/record/2847465/files/CBC3PulseShaping2.png 00029 Sketch of the CBC3 pulse shape. 2420278 84615 http://cds.cern.ch/record/2847465/files/BeamProfile2D_2017_11_November_300V_15C_NotIrradiated.png 00008 : : (a) Distribution of hits for the seed and correlated sensors of the unirradiated mini-module. (b) 2D hit map where the $x$-axis represents the strip number and the $y$-axis the projected track impact point along the strip direction. 2420279 25539 http://cds.cern.ch/record/2847465/files/CorrelatedEfficiencySummaryTotal.png 00024 : : Particle detection efficiency vs. \Vcth~for the different irradiation fluences. (a) Seed sensor, (b) correlated sensor. 2420280 11725 http://cds.cern.ch/record/2847465/files/ClusterSizeThresholdSummary.png 00032 : 2420281 1110694 http://cds.cern.ch/record/2847465/files/fullModuleEdited.png 00004 : : (a) Drawing of the mini-module support structure. (b) Mini-module mounted on the support structure, hosted in the enclosure, and connected to the UIB. 2420282 394462 http://cds.cern.ch/record/2847465/files/2SModuleDrawing.png 00001 Exploded view of a 2S module. The seed and correlated sensors, in yellow, are separated by two aluminum carbon fiber bridges. The two front-end hybrids, in orange, are mounted on the two sides of the sensors. The service hybrid, in red, with two DC-DC converters inside an electro-magnetic shielding box and the optical link to the DAQ, is mounted between the two front-end hybrids. 2420283 12748 http://cds.cern.ch/record/2847465/files/resolutionVsAnglesWidth2Stub_NotVsFullyIrradiated.png 00047 : : Stub resolution as a function of incident angle for clusters of width one (a) and width two (b). Results are shown for the stubs of the unirradiated and fully irradiated mini-module. 2420284 88617 http://cds.cern.ch/record/2847465/files/CBC3AnalogueFrontEnd.png 00002 Block diagram of the analog front-end of the CBC3 ASIC. 2420285 10686576 http://cds.cern.ch/record/2847465/files/jt.pdf Fulltext 2420286 12396 http://cds.cern.ch/record/2847465/files/PedestalSummary.png 00012 : 2420287 36039 http://cds.cern.ch/record/2847465/files/NumberOfClusters_300V_15C_0deg_NotIrradiated_AllSensor.png 00018 Particle detection efficiency and number of clusters detected per event as a function of \Vcth, for the unirradiated mini-module. The dashed line corresponds to the optimal threshold. 2420288 32111 http://cds.cern.ch/record/2847465/files/CorrelatedEfficiencySummaryCenter.png 00049 : : Particle detection efficiency as a function of the threshold, using selected tracks pointing within $\pm5\,\mu$m around the strip center, for the (a) seed sensor and (b) correlated sensor. Superimposed on each scan is the best fit performed with the integral of a Landau function convolved with a Gaussian function. 2420289 36266 http://cds.cern.ch/record/2847465/files/2017_11_November_ThresholdScan_Noise_300V_-20C_NotIrradiated_AllSensor.png 00019 : 2420290 36573 http://cds.cern.ch/record/2847465/files/SeedLangaussSummary.png 00050 : 2420291 29242 http://cds.cern.ch/record/2847465/files/Resolution_Run42_Stub.png 00042 : 2420292 24291 http://cds.cern.ch/record/2847465/files/AngleScanClusterFraction_Tolerance7strips_HalfIrradiatedDUT1.png 00035 : 2420293 23012 http://cds.cern.ch/record/2847465/files/ZoomStubEfficiencyVsStrip_2017_11_November_300V_15C_NotIrradiated.png 00053 : 2420294 14537 http://cds.cern.ch/record/2847465/files/StubLatencyScan_NotIrradiated.png 00015 : : (a) Particle detection efficiency for each sensor at different values of the data latency. (b) Stub reconstruction efficiency at different values of the stub latency. The latencies are measured in units of 40\,MHz clock cycles. Results are shown for the unirradiated module. 2420295 31377 http://cds.cern.ch/record/2847465/files/Resolution_Run2394_Correlated.png 00041 : Caption not extracted 2420296 29566 http://cds.cern.ch/record/2847465/files/Resolution_Run42_Seed.png 00038 : 2420297 12988 http://cds.cern.ch/record/2847465/files/StubMeanDirection_Tolerance6strips_NotIrradiated.png 00022 Mean stub displacement measured for different angles of the mini-module. 2420298 13273 http://cds.cern.ch/record/2847465/files/NoiseSummary.png 00013 : : (a) Pedestal and (b) noise distributions for different irradiation fluences at $-20\,^\circ$C. 2420299 19066 http://cds.cern.ch/record/2847465/files/PtModuleSketch_new.png 00000 Illustration of the identification of particles with high transverse momentum. A hit in the bottom sensor opens a programmable search window in the top sensor such that particles with momentum larger than about 2--3 GeV should pass through this sensor area creating a stub, as pictured by the particle trajectory on the left. Particles with momentum smaller than 2--3 GeV will instead fail to go through the programmable search window not creating a stub, as pictured by the particle trajectory on the right. 2420300 269778 http://cds.cern.ch/record/2847465/files/moduleEdited.png 00003 : 2420301 34167 http://cds.cern.ch/record/2847465/files/AllClusterEfficiencyVsStrip_2017_11_November_300V_15C_NotIrradiated.png 00025 : 2420302 9976644 http://cds.cern.ch/record/2847465/files/2205.00961.pdf Fulltext 2420303 32207 http://cds.cern.ch/record/2847465/files/SeedEfficiencySummaryCenter.png 00048 : 2420304 25571 http://cds.cern.ch/record/2847465/files/ZoomStubEfficiencyVsStrip_2018_12_December_600V_-20C_FullyIrradiated.png 00054 : : Stub reconstruction efficiency across the sensor for the unirradiated (a) and the fully irradiated (b) mini-module for normal incidence tracks. 2420305 26058 http://cds.cern.ch/record/2847465/files/LatencyScan_NotIrradiated.png 00014 : 2420306 23739 http://cds.cern.ch/record/2847465/files/AngleScanClusterFraction_Tolerance6strips_NotIrradiatedDUT1.png 00034 : 2448792 10050631 http://cds.cern.ch/record/2847465/files/Publication.pdf Fulltext from Publisher 2448793 10686576 http://cds.cern.ch/record/2847465/files/FERMILAB-PUB-22-355-CMS-PPD-SCD.pdf Fulltext 13 ARTICLE 2845557 20230823162328.0 oai:cds.cern.ch:2845557 cerncds:FULLTEXT ATL-ITK-SLIDE-2022-672 eng ATL-COM-ITK-2022-130 AUTHOR|(SzGeCERN)808285 AUTHOR|(CDS)2213614 Van De Wall, Evan Richard Author and presentor evan.vandewall@cern.ch Oklahoma State University (US) The ATLAS collaboration High-density high-speed service infrastructure for ATLAS ITk pixel detectors 2023 Geneva CERN 09 Jan 2023 1 p As pixel channel density increases and power requirements grow, electrical services infrastructures have been challenged to keep pace. Increased levels of integration in PCBs and hybrid flex circuits have led to more complex designs with tight specifications for large currents and gigabit data transmission rates. We report on several new approaches to services integration in high-density infrastructures, designed for the ATLAS ITk pixel detector. These approaches have required design collaboration with manufacturers to realize layouts with multiple layers, exact registration, and large dimensions. Results from prototype services units show that the designs meet the stringent electrical and environmental specifications for the ITk pixel detector performance. We will also comment on design lessons learned from these collaborations. SLIDE CERN CDS-Invenio WebSubmit SzGeCERN Particle Physics - Experiment SzGeCERN ITK CERN INTNOTE PRIVATLAS PUBLATLASSLIDE CERN LHC ATLAS PH-EP ATLAS Collaboration http://cds.cern.ch/record/2842945 Original Communication (restricted to ATLAS) 2416848 2163361 http://cds.cern.ch/record/2845557/files/ATL-ITK-SLIDE-2022-672.pdf evan.vandewall@cern.ch n 202370 91 2842444 ATL-ITK-SLIDE-2022-672 santa fe20221211 PUBLIC 000777960CER PUBLATLASSLIDE Slides 2851142 SzGeCERN 20251029175936.0 DOI 10.1109/tns.2023.3240539 oai:cds.cern.ch:2851142 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2636080 2023-02-27T13:05:09Z 2023-02-28T05:28:23Z marcxml Inspire 2636080 eng Mendes, Eduardo CERN submitter TCLink: A Fully Integrated Open Core for Timing Compensation in FPGA-Based High-Speed Links 2023 8 p submitter The high luminosity expected in the second phase of the upgrades of the Large Hadron Collider (LHC phase-2 upgrades) will pose unprecedented challenges to its four experiments in terms of collisions density—also known as pile-up—per beam crossing. Disentangling the vertices of 200 simultaneous collisions every 25 ns requires high granularity in the detectors, as well as extremely precise and stable timing. While short-term timing stability is usually a concern addressed in timing distribution systems, long-term variations due to changing environmental conditions can accumulate through distribution chains and can dominate the overall timing stability of the systems they serve. Timing distribution systems in LHC experiments typically use high-speed links and clock recovery. This article presents a logic core that can be used to mitigate long-term temperature variations in high-speed links. The timing compensated link (TCLink) is an open-source firmware core fully integrated in Xilinx Ultrascale Field Programmable Gate Arrays (FPGAs). It demonstrates picosecond-level phase precision over timing distribution systems, improving the overall timing stability in physics experiments. publication CC-BY-4.0 CERN-RP: IEEE https://creativecommons.org/licenses/by/4.0/ SzGeCERN Accelerators and Storage Rings ARTICLE CERN Baron, Sophie CERN Hegeman, Jeroen CERN Troska, Jan CERN Loukas, Nikitas Notre Dame U. 156-163 2 IEEE Trans. Nucl. Sci. 70 2023 2429862 5684997 http://cds.cern.ch/record/2851142/files/TCLink_A_Fully_Integrated_Open_Core_for_Timing_Compensation_in_FPGA-Based_High-Speed_Links.pdf Fulltext 13 ARTICLE 2849070 20241108141210.0 oai:cds.cern.ch:2849070 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN 10.17181/CERN-BE-2023-014 DOI CERN-BE-2023-014 eng Polak, Krystof AUTHOR|(CDS)2259283 AUTHOR|(SzGeCERN)820569 Liberec Technical University (CZ) krystof.polak@cern.ch Gayde, Jean-Christophe AUTHOR|(CDS)2070703 AUTHOR|(SzGeCERN)394632 CERN Jean-Christophe.Gayde@cern.ch Sulc, Miroslav AUTHOR|(CDS)2069484 AUTHOR|(SzGeCERN)448127 Liberec Technical University (CZ) miroslav.sulc@cern.ch Structured laser beam in non-homogeneous environment 2022 CERN Geneva 31 Oct 2022 7 p This article summarizes part of the research related to the structured laser beam (SLB) properties focused on align- ment. The SLB has the potential to be used as a reference line. This is due to SLB features such as a very clear spot in the center of the beam, a sharp boundary of the central spot, low divergence of the central spot (practically mea- sured value 10 µrad) and theoretically infinite range (tested over several hundred meters). However, the environment (the non-homogeneous distribution of the refractive index) affects the trajectory of the SLB, which is then a general curve. A new approach based on numerical simulations was used to investigate this phenomenon. A method gen- eralizing the diffraction integral was developed to trace ac- curately any optical beam in a non-homogeneous environ- ment. This solution offers in principle a better accuracy than the Eikonal equation used for ray tracing because it allows evaluating the position of the optical beam center with methods based on the analysis of the optical intensity transverse distribution. The propagation of the complex amplitude in the longitudinal direction can generally not be described by the Eikonal equation, but the generalized diffraction integral attains this goal. The article compares the trajectories of a SLB calculated using both the Eikonal equation and the generalized diffraction integral. It de- scribes the differences between these two approaches and identifies conditions under which these differences are neg- ligible in an inhomogeneous environment. Furthermore, the influences of different types of environmental non ho- mogeneities on the SLB trajectory are discussed. CERN EDS Structured laser beam CERN SLB CERN alignment CERN non-homogeneous CERN diffraction CERN CERN PREPRINT SzGeCERN Engineering Not applicable Not applicable BE BE-GM 2426913 1707952 http://cds.cern.ch/record/2849070/files/CERN-BE-2023-014.pdf jeanette.kotzian@cern.ch n 202307 11 2841583 ferney-voltaire20221031 PUBLIC PREPRINT ConferencePaper 2849061 20251201182905.0 oai:cds.cern.ch:2849061 cerncds:TALK eng Indico 104 CERN. Geneva Introduction to open quantum systems CERN - 4/3-006 - TH Conference Room 2023-02-14T14:00:00 2023-02-14T16:00:00 1252319 Introduction to open quantum systems 2023 2023-02-14 4357 Streaming video TH String Theory Seminar 2023-02-14T14:00:00 <!--HTML--><p>The theory of open quantum systems aims to develop a general framework to analyse the dynamical behaviour of physical systems by removing the<br>environmental degrees of freedom. If the response of the environment is<br>Markovian, the dynamics can be described through the Lindblad Master<br>equation. In the first part of the talk, I will derive this equation with<br>a particular focus on the approximations. In the second part, I will<br>discuss the importance of integrability in the contexts of Open quantum<br>systems and some of the novel results discussed in PRL 126.24 (2021):<br>240403</p> CERN 2023 TH String Theory Seminar Event TALK CERN Paletta, Chiara speaker Trinity College Dublin https://indico.cern.ch/event/1252319/ Event details MediaArchive /mnt/master_share/master_data/2023/1252319 Absolute master path MediaArchive /2023/1252319/1252319_en.vtt subtitle subtitle English MediaArchive /2023/1252319/1252319_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2023/1252319/1252319-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2023/1252319/1252319-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 78999 MediaArchive https://lecturemedia.cern.ch/2023/1252319/1252319-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 416170 MediaArchive https://lecturemedia.cern.ch/2023/1252319/1252319-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 706551 MediaArchive https://lecturemedia.cern.ch/2023/1252319/1252319-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 166377 matthew.dodelson@cern.ch Paletta, Chiara Trinity College Dublin 2023-02-07T06:57:54 2023-02-15T08:05:26 PUBLIC INDICO.1252319 https://videos.cern.ch/legacy/record/2849061 Indico SSW MIGRATED 2849055 20230419135516.0 oai:cds.cern.ch:2849055 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN CERN-BE-2023-006 eng Mergelkuhl, Dirk AUTHOR|(CDS)2071144 AUTHOR|(SzGeCERN)546995 CERN Dirk.Mergelkuhl@cern.ch Gayde, Jean-Christophe AUTHOR|(CDS)2070703 AUTHOR|(SzGeCERN)394632 CERN Jean-Christophe.Gayde@cern.ch Nikolitsas, Konstantinos AUTHOR|(CDS)2197551 AUTHOR|(SzGeCERN)805582 knikolit@cern.ch 11T dipole short model coil metrology at cold and measurement of its thermal contraction 2022 CERN Geneva 31 Oct 2022 6 p The main objective of the HL-LHC project at CERN is to increase the LHC peak luminosity by a factor of five and the integrated luminosity by a factor of ten. The increased integrated and peak luminosity requires to improve the cleaning efficiency of the collimation system with the installation of new collimators in the cold section of the machine. In order to create the space for such equipment a set of two new high field magnet (here referred as 11T dipole) will replace one standard LHC dipole leaving free space in middle for the new equipment. The metrology tests of one of the 11T dipole short model coils (1.97 m long) have been performed at CERN, using close range photogrammetric techniques, in order to evaluate the mechanical behaviour of the coil. For this measurement, the coil has been immersed and completely covered by nitrogen gas for the thermal cycling (ΔT ≈ 178 Κ). In this paper, some of the environmental constraints are highlighted. These constraints have been: a thin vapour cloud on the top of the cryostat, a small ice layer that has been formed a few minutes after the opening of the cryostat cap and the high temperature gradient for measurement rays. As result, it can be concluded that the short model coil of the 11T dipole is a flexible structure that contracts and bends (bending of 4.85 mm between warm and cold state of the coil). In addition, the best estimate for the coefficient of thermal expansion of the coil is 12.8 μm/m/K what is probably not enough to characterize the short model coil as a composite structure. CERN EDS metrology CERN dipole CERN measurement CERN HL-LHC CERN cold section CERN LHC CERN 11T dipole short model coils CERN CERN PREPRINT SzGeCERN Engineering Not applicable Not applicable BE BE-GM 2426901 752944 http://cds.cern.ch/record/2849055/files/CERN-BE-2023-006.pdf jeanette.kotzian@cern.ch n 202307 11 2841583 ferney-voltaire20221031 PUBLIC PREPRINT ConferencePaper 2849047 SzGeCERN 20251029175933.0 DOI Elsevier B.V. 10.1016/j.nima.2023.168088 publication oai:cds.cern.ch:2849047 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2628604 2023-02-13T10:19:58Z 2023-02-15T05:00:06Z marcxml Inspire 2628604 eng Rigoletti, Gianluca gianluca.rigoletti@cern.ch CERN Elsevier B.V. Performance studies of RPC detectors operated with C$_2$H$_2$F$_4$ and CO$_2$ gas mixtures 2023 7 p Elsevier B.V. Resistive Plate Chambers detectors are largely employed at the CERN LHC experiments thanks to their excellent trigger performances and contained costs. They are operated with a gas mixture made of 90%–95% of C2H2F4, that provides a high number of ion–electron pairs, about 5% of i-C4H10, that ensures the suppression of photon-feedback effects, and 0.3% of SF6, used as an electron quencher to further operate the detector in streamer-free mode. C2H2F4is known to be a Greenhouse gas, with a global warming potential (GWP) of 1430. CERN has identified several strategies to reduce the consumption of greenhouse gas emissions from particle detectors at LHC experiments. One research line is focused on the study of alternatives to C2H2F4. In this context, a conservative approach for the next years of LHC operation could be to focus on reducing the GWP of the RPC gas mixture by only adding CO2 and not using new gases, whose effects on detector long-term operation have to be studied. The RPC performance with standard gas mixture with the addition of 30%–50% of CO2 (and SF6 concentration between 0.3 and 0.9%) were studied both in laboratory set-up and at the CERN Gamma Irradiation Facility in presence of muon beam and gamma background radiation. Encouraging results were obtained showing that the addition of CO2 to the standard gas mixture can represent a mid-term solution to reduce emissions and lower operational costs by keeping stable detector performance and safe long-term operation. publication CC BY-4.0 CERN-RP: Elsevier http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2023 SzGeCERN Detectors and Experimental Techniques Elsevier B.V. Gaseous detectors Elsevier B.V. Resistive-plate chambers Elsevier B.V. Greenhouse gases Elsevier B.V. Environmental-friendly gases Elsevier B.V. Gas systems and purification ARTICLE CERN CERN LHC CERN-EP-RDET Guida, Roberto CERN Mandelli, Beatrice CERN 168088 publication Nucl. Instrum. Methods Phys. Res., A 1049 2023 2426895 550034 http://cds.cern.ch/record/2849047/files/1-s2.0-S0168900223000785-main.pdf Fulltext 13 ARTICLE 2848110 SzGeCERN 20240927155901.0 DOI Elsevier Ltd 10.1016/j.measurement.2023.112468 publication oai:cds.cern.ch:2848110 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2023-02-02T05:00:02Z marcxml oai:inspirehep.net:2627401 2023-02-01T13:34:52Z Inspire 2627401 eng Kapić, Amar amar.kapic@epfl.ch Ecole Polytechnique, Lausanne CERN European Organisation for Nuclear Research (CERN), 1211 Geneva, Switzerland Elsevier Ltd Uncertainty analysis of polymer-based capacitive relative humidity sensor at negative temperatures and low humidity levels 2023 9 p Elsevier Ltd Capacitive relative humidity sensors, widely used in industrial and environmental applications, should be interchangeable and ideally have parametrizable response to relative humidity changes. While the effects of temperatures in the range between 0 °C and 50 °C are negligible, this is not the case for negative values. Therefore, this effect must be taken into consideration when parameterizing the output of the capacitive humidity sensors for temperatures below the freezing point of water. In this paper, we present our investigations on the temperature effect for one type of such sensors when using it at subzero temperatures. The experiments were conducted at temperatures of −10 °C, −20 °C and −30 °C. Additionally, we have tested the sensor performance at relative humidity levels low enough for most sensors not exhibit their best performances. Direct and inverse calibration methods were used and the uncertainty analysis of the devices under test is discussed. •Effects of negative temperatures on dielectric constant and sensor response.•Setup for sensor characterization at negative temperatures and low humidity levels.•Comparative analysis of classical and inverse calibration methods.•Combined and expanded uncertainty of capacitive relative humidity sensor measurements. publication CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ Other The Author(s) publication 2023 SzGeCERN Detectors and Experimental Techniques Elsevier Ltd Capacitive sensors Elsevier Ltd Relative humidity Elsevier Ltd Uncertainty Elsevier Ltd Classical method Elsevier Ltd Inverse method Elsevier Ltd High Energy Physics applications ARTICLE CERN Tsirou, Andromachi Andromachi.Tsirou@cern.ch CERN Verdini, Piero Giorgio Piero.Giorgio.Verdini@cern.ch CERN INFN, Pisa INFN Sezione di Pisa, 56127 Pisa, Italy Carrara, Sandro sandro.carrara@epfl.ch Ecole Polytechnique, Lausanne 112468 publication 2023 Measurement 209 2424316 994885 http://cds.cern.ch/record/2848110/files/1-s2.0-S0263224123000325-main.pdf Fulltext 13 ARTICLE 2854749 20230330203415.0 oai:cds.cern.ch:2854749 cerncds:FULLTEXT Proposal for the award of a contract for dismantling and environmental remediation work in Building 60 on the Swiss part of CERN’s Meyrin site CERN/FC/6670/RA Finance Committee - Three-Hundred-and-Eighty-Fourth Meeting 22-03-2023 22-03-2023 22-03-2023 CERN, Geneva, Switzerland 22-0 cern22032023 CH 22-03-2023 2023 Confidential FC-full 2444990 328940 http://cds.cern.ch/record/2854749/files/French.pdf French 2444991 328246 http://cds.cern.ch/record/2854749/files/English.pdf English FINANCECOMM 2854404 20240502120103.0 oai:cds.cern.ch:2854404 cerncds:FULLTEXT CERN-PHOTO-202303-092 Cavazza, Marina CERN Environmental feasibility study for the Future Circular Collider (FCC) 2023 Geneva CERN 2023-03-20 General Photo public The first phase of the possible next collider involves a major geographical, geological and environmental data-gathering effort. CERN will be conducting initial assessments on the ground in order to refine the existing geological and seismic data as well as the data on the fauna and flora for conservation purposes. CERN 2023 CERN EDS PHOTOLAB SzGeCERN Civil Engineering and Infrastructure SzGeCERN Photolab FCC CERN CERN PHOTO CERN News https://home.web.cern.ch/news/news/accelerators/feasibility-study-possible-future-circular-collider-fcc-gets-under-way 2444496 3547298 http://cds.cern.ch/record/2854404/files/202303-092_39.jpg 2444497 35485051 http://cds.cern.ch/record/2854404/files/202303-092_45.jpg 2444498 47093450 http://cds.cern.ch/record/2854404/files/202303-092_49.jpg 2444499 50596243 http://cds.cern.ch/record/2854404/files/202303-092_54.jpg 2444500 47428079 http://cds.cern.ch/record/2854404/files/202303-092_56.jpg 2444501 35419214 http://cds.cern.ch/record/2854404/files/202303-092_77.jpg 2444502 31827492 http://cds.cern.ch/record/2854404/files/202303-092_78.jpg 2444503 26526563 http://cds.cern.ch/record/2854404/files/202303-092_99.jpg 2444504 28802267 http://cds.cern.ch/record/2854404/files/202303-092_107.jpg 2444505 48137359 http://cds.cern.ch/record/2854404/files/202303-092_110.jpg 2444506 49395877 http://cds.cern.ch/record/2854404/files/202303-092_116.jpg 2444507 28374768 http://cds.cern.ch/record/2854404/files/202303-092_124.jpg 2444508 25667008 http://cds.cern.ch/record/2854404/files/202303-092_128.jpg 2444509 60434082 http://cds.cern.ch/record/2854404/files/202303-092_131.jpg 2444510 52129218 http://cds.cern.ch/record/2854404/files/202303-092_136.jpg 2444511 9990773 http://cds.cern.ch/record/2854404/files/202303-092_153.jpg 2444512 13111402 http://cds.cern.ch/record/2854404/files/202303-092_171.jpg 2444513 1515551 http://cds.cern.ch/record/2854404/files/202303-092_172.jpg 2444514 8752582 http://cds.cern.ch/record/2854404/files/202303-092_174.jpg 2444515 4543917 http://cds.cern.ch/record/2854404/files/202303-092_175.jpg 2444496 1041208 http://cds.cern.ch/record/2854404/files/202303-092_39.jpg?subformat=icon-1440 icon-1440 2444496 88689 http://cds.cern.ch/record/2854404/files/202303-092_39.jpg?subformat=icon-180 icon-180 2444496 274197 http://cds.cern.ch/record/2854404/files/202303-092_39.jpg?subformat=icon-640 icon-640 2444497 1229005 http://cds.cern.ch/record/2854404/files/202303-092_45.jpg?subformat=icon-1440 icon-1440 2444497 99083 http://cds.cern.ch/record/2854404/files/202303-092_45.jpg?subformat=icon-180 icon-180 2444497 341529 http://cds.cern.ch/record/2854404/files/202303-092_45.jpg?subformat=icon-640 icon-640 2444498 1863722 http://cds.cern.ch/record/2854404/files/202303-092_49.jpg?subformat=icon-1440 icon-1440 2444498 101885 http://cds.cern.ch/record/2854404/files/202303-092_49.jpg?subformat=icon-180 icon-180 2444498 442827 http://cds.cern.ch/record/2854404/files/202303-092_49.jpg?subformat=icon-640 icon-640 2444499 2010802 http://cds.cern.ch/record/2854404/files/202303-092_54.jpg?subformat=icon-1440 icon-1440 2444499 106417 http://cds.cern.ch/record/2854404/files/202303-092_54.jpg?subformat=icon-180 icon-180 2444499 475272 http://cds.cern.ch/record/2854404/files/202303-092_54.jpg?subformat=icon-640 icon-640 2444500 1892548 http://cds.cern.ch/record/2854404/files/202303-092_56.jpg?subformat=icon-1440 icon-1440 2444500 108015 http://cds.cern.ch/record/2854404/files/202303-092_56.jpg?subformat=icon-180 icon-180 2444500 473005 http://cds.cern.ch/record/2854404/files/202303-092_56.jpg?subformat=icon-640 icon-640 2444501 1391708 http://cds.cern.ch/record/2854404/files/202303-092_77.jpg?subformat=icon-1440 icon-1440 2444501 98323 http://cds.cern.ch/record/2854404/files/202303-092_77.jpg?subformat=icon-180 icon-180 2444501 369091 http://cds.cern.ch/record/2854404/files/202303-092_77.jpg?subformat=icon-640 icon-640 2444502 1205439 http://cds.cern.ch/record/2854404/files/202303-092_78.jpg?subformat=icon-1440 icon-1440 2444502 97568 http://cds.cern.ch/record/2854404/files/202303-092_78.jpg?subformat=icon-180 icon-180 2444502 341838 http://cds.cern.ch/record/2854404/files/202303-092_78.jpg?subformat=icon-640 icon-640 2444503 92789 http://cds.cern.ch/record/2854404/files/202303-092_99.jpg?subformat=icon-180 icon-180 2444503 270278 http://cds.cern.ch/record/2854404/files/202303-092_99.jpg?subformat=icon-640 icon-640 2444503 858449 http://cds.cern.ch/record/2854404/files/202303-092_99.jpg?subformat=icon-1440 icon-1440 2444504 2044892 http://cds.cern.ch/record/2854404/files/202303-092_107.jpg?subformat=icon-1440 icon-1440 2444504 104020 http://cds.cern.ch/record/2854404/files/202303-092_107.jpg?subformat=icon-180 icon-180 2444504 455082 http://cds.cern.ch/record/2854404/files/202303-092_107.jpg?subformat=icon-640 icon-640 2444505 1793384 http://cds.cern.ch/record/2854404/files/202303-092_110.jpg?subformat=icon-1440 icon-1440 2444505 101127 http://cds.cern.ch/record/2854404/files/202303-092_110.jpg?subformat=icon-180 icon-180 2444505 427234 http://cds.cern.ch/record/2854404/files/202303-092_110.jpg?subformat=icon-640 icon-640 2444506 1782981 http://cds.cern.ch/record/2854404/files/202303-092_116.jpg?subformat=icon-1440 icon-1440 2444506 99876 http://cds.cern.ch/record/2854404/files/202303-092_116.jpg?subformat=icon-180 icon-180 2444506 416782 http://cds.cern.ch/record/2854404/files/202303-092_116.jpg?subformat=icon-640 icon-640 2444507 84417 http://cds.cern.ch/record/2854404/files/202303-092_124.jpg?subformat=icon-180 icon-180 2444507 194550 http://cds.cern.ch/record/2854404/files/202303-092_124.jpg?subformat=icon-640 icon-640 2444507 653847 http://cds.cern.ch/record/2854404/files/202303-092_124.jpg?subformat=icon-1440 icon-1440 2444508 91329 http://cds.cern.ch/record/2854404/files/202303-092_128.jpg?subformat=icon-180 icon-180 2444508 255057 http://cds.cern.ch/record/2854404/files/202303-092_128.jpg?subformat=icon-640 icon-640 2444508 874209 http://cds.cern.ch/record/2854404/files/202303-092_128.jpg?subformat=icon-1440 icon-1440 2444509 1980870 http://cds.cern.ch/record/2854404/files/202303-092_131.jpg?subformat=icon-1440 icon-1440 2444509 99178 http://cds.cern.ch/record/2854404/files/202303-092_131.jpg?subformat=icon-180 icon-180 2444509 431615 http://cds.cern.ch/record/2854404/files/202303-092_131.jpg?subformat=icon-640 icon-640 2444510 2092614 http://cds.cern.ch/record/2854404/files/202303-092_136.jpg?subformat=icon-1440 icon-1440 2444510 101825 http://cds.cern.ch/record/2854404/files/202303-092_136.jpg?subformat=icon-180 icon-180 2444510 475264 http://cds.cern.ch/record/2854404/files/202303-092_136.jpg?subformat=icon-640 icon-640 2444511 83738 http://cds.cern.ch/record/2854404/files/202303-092_153.jpg?subformat=icon-180 icon-180 2444511 216584 http://cds.cern.ch/record/2854404/files/202303-092_153.jpg?subformat=icon-640 icon-640 2444511 718650 http://cds.cern.ch/record/2854404/files/202303-092_153.jpg?subformat=icon-1440 icon-1440 2444512 1638342 http://cds.cern.ch/record/2854404/files/202303-092_171.jpg?subformat=icon-1440 icon-1440 2444512 104905 http://cds.cern.ch/record/2854404/files/202303-092_171.jpg?subformat=icon-180 icon-180 2444512 437012 http://cds.cern.ch/record/2854404/files/202303-092_171.jpg?subformat=icon-640 icon-640 2444513 1268347 http://cds.cern.ch/record/2854404/files/202303-092_172.jpg?subformat=icon-1440 icon-1440 2444513 103289 http://cds.cern.ch/record/2854404/files/202303-092_172.jpg?subformat=icon-180 icon-180 2444513 390935 http://cds.cern.ch/record/2854404/files/202303-092_172.jpg?subformat=icon-640 icon-640 2444514 1315561 http://cds.cern.ch/record/2854404/files/202303-092_174.jpg?subformat=icon-1440 icon-1440 2444514 102906 http://cds.cern.ch/record/2854404/files/202303-092_174.jpg?subformat=icon-180 icon-180 2444514 382013 http://cds.cern.ch/record/2854404/files/202303-092_174.jpg?subformat=icon-640 icon-640 2444515 1366125 http://cds.cern.ch/record/2854404/files/202303-092_175.jpg?subformat=icon-1440 icon-1440 2444515 103306 http://cds.cern.ch/record/2854404/files/202303-092_175.jpg?subformat=icon-180 icon-180 2444515 394382 http://cds.cern.ch/record/2854404/files/202303-092_175.jpg?subformat=icon-640 icon-640 marina.cavazza@cern.ch n 202313 CERN <> 86 PUBLIC VISIBLE PHOTOLABCERN 2853503 20240927155812.0 oai:cds.cern.ch:2853503 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI IOP 10.1088/1748-0221/18/04/P04023 arXiv oai:arXiv.org:2211.04335 oai:inspirehep.net:2178286 https://inspirehep.net/api/oai2d Inspire 2023-05-31T14:57:00Z 2023-06-01T02:09:03Z marcxml true Inspire 2178286 arXiv arXiv:2211.04335 physics.ins-det eng Pfeiffer, D. dorothea.pfeiffer@ess.eu ESS, Lund CERN Milan Bicocca U. European Spallation Source ESS ERIC (ESS), Box 176, SE-221 00 Lund, Sweden European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland Department of Physics, University of Milano-Bicocca, Piazza della Scienza 3, 20126 Milan, Italy IOP Demonstration of Gd-GEM detector design for neutron macromolecular crystallography applications 2023-04-18 2022-11-08 18 p IOP The European Spallation Source (ESS) in Lund, Sweden willbecome the world's most powerful thermal neutron source. TheMacromolecular Diffractometer (NMX) at the ESS requires three51.2 × 51.2 cm$^{2}$ detectors with reasonable detectionefficiency, sub-mm spatial resolution, a narrow point-spreadfunction (PSF), and good time resolution. This work presentsmeasurements with the improved version of the NMX detector prototypeconsisting of a Triple-GEM (Gas Electron Multiplier) detector with anatural Gd converter and a low material budget readout. The detectorwas successfully tested at the neutron reactor of the BudapestNeutron Centre (BNC) and the D16 instrument at the InstitutLaue-Langevin (ILL) in Grenoble. The measurements with Cadmium andGadolinium masks in Budapest demonstrate that the point-spreadfunction of the detector lacks long tails that could impede themeasurement of diffraction spot intensities. On the D16 instrumentat ILL, diffraction spots from Triose phosphate isomerase w/2-phosphoglycolate (PGA) inhibitor were measured both in the MILANDHelium-3 detector and the Gd-GEM. The comparison between the twodetectors shows a similar point-spread function in both detectors,and the expected efficiency ratio compared to the Helium-3detector. Both measurements together thus give good indications thatthe Gd-GEM detector fits the requirements for the NMX instrument atESS. arXiv The European Spallation Source (ESS) in Lund, Sweden will become the world's most powerful thermal neutron source. The Macromolecular Diffractometer (NMX) at the ESS requires three 51.2 x 51.2~cm$^{2}$ detectors with reasonable detection efficiency, sub-mm spatial resolution, a narrow point spread function (PSF) and good time resolution. This work presents measurements with the improved version of the NMX detector prototype consisting of a Triple-GEM detector with natural Gd converter and a low material budget readout. The detector was successfully tested at the neutron reactor of the Budapest Neutron Centre (BNC) and at the D16 instrument at the Institut Laue-Langevin (ILL) in Grenoble. The measurements with Cadmium and Gadolinium masks in Budapest demonstrate that the point spread function of the detector lacks long tails that could impede the measurement of diffraction spot intensities. On the D16 instrument at ILL, diffraction spots from Triose phosphate isomerase w/ 2-phosphoglycolate (PGA) inhibitor were measured both in the D16 Helium-3 detector and the Gd-GEM. The comparison between the two detectors show a similar point spread function in both detectors, and the expected efficiency ratio compared to the Helium-3 detector. Both measurements together thus give good indications that the Gd-GEM detector fits the requirements for the NMX instrument at ESS. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication CC-BY-4.0 IOP http://creativecommons.org/licenses/by/4.0/ Other publication CERN 2023 arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques CERN ARTICLE Brunbauer, F. CERN European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland Cristiglio, V. Laue-Langevin Inst. Institut Laue-Langevin, 71 avenue des Martyrs CS 20156, 38042 Grenoble, France Hall-Wilton, R. ESS, Lund Milan Bicocca U. Fond. Bruno Kessler, Trento European Spallation Source ESS ERIC (ESS), Box 176, SE-221 00 Lund, Sweden Department of Physics, University of Milano-Bicocca, Piazza della Scienza 3, 20126 Milan, Italy Sensors & Devices Centre, Fondazione Bruno Kessler, via Sommarive 18, 38123 Trento, Italy Lupbergerf, M. Bonn U., HISKP Physikalisches Institut, University of Bonn, Nußallee 12, 53115 Bonn, Germany Helmholtz-Institut für Strahlen- und Kernphysik, University of Bonn, Nußallee 14–16, 53115 Bonn, Germany Markó, M. Wigner RCP, Budapest Neutron Spectroscopy Department, Institute for Energy Security and Environmental Safety, Centre for Energy Research, 29–33 Konkoly-Thege Miklós út, Budapest, 1121, Hungary Budapest Neutron Centre, 29–33 Konkoly-Thege Miklós út, Budapest, 1121, Hungary Muller, H. CERN Bonn U. European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland Physikalisches Institut, University of Bonn, Nußallee 12, 53115 Bonn, Germany Oksanen, E. ESS, Lund European Spallation Source ESS ERIC (ESS), Box 176, SE-221 00 Lund, Sweden Oliveri, E. CERN European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland Ropelewski, L. CERN European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland Rusu, A. CERN SRS Technology, 30 Promenade des Artisans, 1217 Meyrin, Switzerland Samarati, J. ESS, Lund CERN European Spallation Source ESS ERIC (ESS), Box 176, SE-221 00 Lund, Sweden European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland Scharenberg, L. CERN Fond. Bruno Kessler, Trento European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland Sensors & Devices Centre, Fondazione Bruno Kessler, via Sommarive 18, 38123 Trento, Italy van Stenis, M. CERN European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland Thuiner, P. CERN Vienna, Tech. U. European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland Vienna University of Technology, 1040 Vienna, Austria Veenhof, R. CERN Uludag U. European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland Bursa Uludağ University, Görükle Kampusu, 16059 Niüfer/Bursa, Turkey P04023 04 JINST 18 2023 2443465 12815 http://cds.cern.ch/record/2853503/files/Fit_single_hole.png 00005 : Measurement with Gd-foil with 1 mm hole in front of detector readout. The Gaussian fitted to the profile has a FWHM of 1.4 mm. The binning corresponds to the 400 $\mu$m strip pitch of the detector readout. : Caption not extracted 2443466 249323 http://cds.cern.ch/record/2853503/files/Comparison_He3_GdGEM_omega5_gamma60.png 00010 : $\omega = 5\si{\degree}$ : $\omega = 55\si{\degree}$ 2443467 3859531 http://cds.cern.ch/record/2853503/files/Cd_Mask_1p0mm.png 00002 : Cd mask, 1.0~mm holes : Measurement with Cd mask 2443468 46235 http://cds.cern.ch/record/2853503/files/Fit2D_omega55_He3.png 00014 : MILAND detector : Gd-GEM detector 2443469 20240 http://cds.cern.ch/record/2853503/files/angle_sample.png 00020 : Caption not extracted 2443470 19616 http://cds.cern.ch/record/2853503/files/Detector_3gem.png 00000 : Schematic view of Triple-GEM detector : Gd-GEM 10~cm x 10~cm prototype 2443471 713104 http://cds.cern.ch/record/2853503/files/Grenoble_Beamline.png 00006 : D16 beamline with detector : B$_{4}$C diaphragm and sample holder 2443472 368701 http://cds.cern.ch/record/2853503/files/Move_Run07_subtracted_Run08_cxys8_omega05_gamma57_75p5_33p3.png 00021 : $\gamma = 57\si{\degree}$ : $\gamma = 60\si{\degree}$ 2443473 12819 http://cds.cern.ch/record/2853503/files/GdGem_fit_omega55p0_gamma60p0.png 00013 : Gaussian fit of profile in x-direction of the same diffraction spot ($\omega = 55\si{\degree}$, $\gamma = 60\si{\degree}$) in the MILAND detector and the Gd-GEM. The $^{3}He$ detector acquired data for 300~s, whereas the Gd-GEM took data for 1620 s. The error bars represent the statistical uncertainty on the counts. : Caption not extracted 2443474 23077923 http://cds.cern.ch/record/2853503/files/2211.04335.pdf Fulltext 2443475 3096143 http://cds.cern.ch/record/2853503/files/Sample_orientation.png 00009 : The detector and sample orientation (angles $\gamma$ and $\omega$) can be adjusted from 0 to 360 degrees. : Caption not extracted 2443476 49257 http://cds.cern.ch/record/2853503/files/Fit2D_omega55_Gd.png 00015 : Fit of two-dimensional Gaussian to the same diffraction spot ($\omega = 55\si{\degree}$, $\gamma = 60\si{\degree}$) in the MILAND detector and the Gd-GEM. The $^{3}He$ detector acquired data for 300~s, whereas the Gd-GEM took data for 1620 s. : Caption not extracted 2443477 442642 http://cds.cern.ch/record/2853503/files/Move_Run04_subtracted_Run03_cxys8_omega5_gamma60_83p5_40p4.png 00022 : Measurement of diffraction spots from PGA inhibitor at a sample rotation of $\omega = 5\si{\degree}$. An increase in the detector rotation angle $\gamma$ moves the spot to larger x and y values. : Caption not extracted 2443478 61110 http://cds.cern.ch/record/2853503/files/Drawing_Detector_Readout.png 00016 : View from sample. : View from back of detector. 2443479 56479 http://cds.cern.ch/record/2853503/files/Drawing_Detector_Converter.png 00017 : Schematic drawing of detector readout (x/y strip readout), VMM hybrids, Gd converter and movement of diffraction spots on detector depending on rotational movement $\gamma$ of detector. The neutrons coming from the sample traverse first the readout of the detector, as shown previously in figure~\ref{fig: Detector_Scheme}. : Caption not extracted 2443480 29326 http://cds.cern.ch/record/2853503/files/Single_hole.png 00004 : Measurement with Gd-foil mask with 1 mm hole : Profile with 1.4 mm FWHM 2443481 3109238 http://cds.cern.ch/record/2853503/files/Detector_orientation.png 00008 : Detector rotation $\gamma$ : Sample orientation $\omega$ 2443482 12357 http://cds.cern.ch/record/2853503/files/He3_fit_omega55p0_gamma60p0.png 00012 : MILAND detector : Gd-GEM detector 2443483 12640851 http://cds.cern.ch/record/2853503/files/Detector_photo.png 00001 : Gd-GEM neutron detector : Caption not extracted 2443484 37949 http://cds.cern.ch/record/2853503/files/Cd_1p0mm_normalized_time_corrected.png 00003 : Recorded pattern of a Cd mask with circular holes of 1.0 mm diameter. Figure a) show a picture of the mask that was installed on the detector. The holes have a minimum separation (centre to centre) of about 2 mm horizontally, 1.6 mm vertically, and 1.3 mm diagonally. Figure b) shows the beam intensity recorded with the mask normalized to the beam intensity without mask. The beam was focused on the lowest three rows of the mask. The holes there can be clearly resolved. : Caption not extracted 2443485 41794 http://cds.cern.ch/record/2853503/files/angle_detector.png 00019 : Rotation of sample : Schematic drawing of diffraction spot shift (due to detector rotation) on the detector plane(Figure \ref{fig: point_shift}). Figure \ref{fig: angle_detector} shows the effect of the detector rotation $\gamma$ on the position of the diffraction spots. Figure \ref{fig: angle_sample} displays the effect of the rotation of the sample by the angle $\omega$. This sample rotation leads to a diffraction spot shift that is equivalent to a rotation of the detector by the hypothetical angle $\alpha$. 2443486 79162 http://cds.cern.ch/record/2853503/files/point_shift.png 00018 : Shift of diffraction spots : Rotation of detector 2443487 2020630 http://cds.cern.ch/record/2853503/files/Diffraction_sample.png 00007 : Beamline of D16 instrument at ILL in Grenoble. The Gd-GEM detector can be seen in the center of \ref{fig: Detectors_Grenoble}, whereas the MILAND detector is the circular chamber visible on the outer left. The neutron beam traverses a 3 mm $B_{4}C$ diaphragm and hits the PGA inhibitor sample. The Gd-GEM detector is mounted at a distance of 196 mm from the sample. : Caption not extracted 2443488 247449 http://cds.cern.ch/record/2853503/files/Comparison_He3_GdGEM_omega55_gamma60.png 00011 : Measurement of the diffraction spots at $\omega = 5\si{\degree}$ and $\omega = 55\si{\degree}$ in the MILAND detector. The detector rotation was $\gamma = 60\si{\degree}$. The MILAND detector acquired in both measurements data for 300~s. Whereas in the MILAND detector several diffraction spots are visible (8 spots at the right and 3 spots at the left), the smaller Gd-GEM detector recorded only 1 spot in both measurements. The centre of the Gd-GEM detector has been misaligned with respect to the centre of the MILAND detector. : Caption not extracted 2449703 7491146 http://cds.cern.ch/record/2853503/files/document.pdf Fulltext 13 ARTICLE 2853286 SzGeCERN 20230613170044.0 oai:cds.cern.ch:2853286 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI 10.1515/eng-2021-0124 publication DOI 10.1515/eng-2022-0005 retraction https://inspirehep.net/api/oai2d oai:inspirehep.net:2639825 2023-03-22T14:17:20Z 2023-03-23T05:00:05Z marcxml Inspire 2639825 eng Ścisło, Łukasz Cracow Tech. U. submitter COVID-19 lockdown impact on CERN seismic station ambient noise levels 2021 8 p https://doi.org/10.1515/eng-2022-0005 has been retracted due to duplication. submitter Seismic measuring stations do not only record seismic waves. They also pick up tremors caused by other factors: these are known as seismic background noise. In normal conditions, this environmental background is steady over a long time. This article presents the influence of high reduction of human activity due to COVID-19 initial lockdown on ground vibration in the Large Hadron Collider tunnel at the European Organization for Nuclear Research. CC-BY-4.0 Łukasz Ścisło et al. 2022 INSPIRE Engineering ARTICLE CERN Łacny, Łukasz Cracow Tech. U. Guinchard, Michael CERN 1233-1240 publication Open Engineering 11 2021 62-69 Open Engineering 12 2022 2442362 3636263 http://cds.cern.ch/record/2853286/files/10.1515_eng-2021-0124.pdf Fulltext 2442362 10840 http://cds.cern.ch/record/2853286/files/10.1515_eng-2021-0124.gif?subformat=icon icon Fulltext 2442362 185277 http://cds.cern.ch/record/2853286/files/10.1515_eng-2021-0124.jpg?subformat=icon-1440 icon-1440 Fulltext 2442362 185277 http://cds.cern.ch/record/2853286/files/10.1515_eng-2021-0124.jpg?subformat=icon-640 icon-640 Fulltext 2442362 185277 http://cds.cern.ch/record/2853286/files/10.1515_eng-2021-0124.jpg?subformat=icon-700 icon-700 Fulltext 2442362 28377 http://cds.cern.ch/record/2853286/files/10.1515_eng-2021-0124.jpg?subformat=icon-180 icon-180 Fulltext 13 ARTICLE 2853204 20251201181259.0 oai:cds.cern.ch:2853204 cerncds:TALK eng Indico 3169 CERN. Geneva 2023 CERN openlab Technical Workshop CERN - 503/1-001 - Council Chamber 2023-03-16T17:35:00 2023-03-16T17:50:00 1225408c33 Environmental Modeling and Prediction Platform 2023 2023-03-16 711 Streaming video Workshops and Training 2023 CERN openlab Technical Workshop 2023-03-16T17:35:00 CERN 2023 Workshops and Training Event TALK CERN Luise, Ilaria speaker Stony Brook University (US) https://indico.cern.ch/event/1225408/contributions/5249301/ Talk details https://indico.cern.ch/event/1225408/ Event details MediaArchive /mnt/master_share/master_data/2023/1225408c33 Absolute master path MediaArchive /2023/1225408c33/1225408c33_en.vtt subtitle subtitle English MediaArchive /2023/1225408c33/1225408c33_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2023/1225408c33/1225408c33-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2023/1225408c33/1225408c33-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 89438 MediaArchive https://lecturemedia.cern.ch/2023/1225408c33/1225408c33-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 538681 MediaArchive https://lecturemedia.cern.ch/2023/1225408c33/1225408c33-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 925068 MediaArchive https://lecturemedia.cern.ch/2023/1225408c33/1225408c33-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 210225 MediaArchive https://lecturemedia.cern.ch/2023/1225408c33/1225408c33-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 323918 MediaArchive https://lecturemedia.cern.ch/2023/1225408c33/1225408c33-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 998058 MediaArchive https://lecturemedia.cern.ch/2023/1225408c33/1225408c33-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 109477 MediaArchive https://lecturemedia.cern.ch/2023/1225408c33/1225408c33-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3096107 kristina.ulrika.gunne@cern.ch Girone, Maria CERN 2022-11-24T12:35:57 2023-03-22T10:10:27 PUBLIC INDICO.1225408c33 https://videos.cern.ch/legacy/record/2853204 Indico TALK MIGRATED 2852840 SzGeCERN 20240112093254.0 DOI 10.1038/s41557-022-01067-z oai:cds.cern.ch:2852840 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2639828 2023-03-17T15:00:26Z 2023-03-18T05:00:08Z marcxml Inspire 2639828 eng Finkenzeller, Henning Colorado U. Colorado U., CIRES Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA. submitter The gas-phase formation mechanism of iodic acid as an atmospheric aerosol source 2022 7 p submitter AbstractIodine is a reactive trace element in atmospheric chemistry that destroys ozone and nucleates particles. Iodine emissions have tripled since 1950 and are projected to keep increasing with rising O3 surface concentrations. Although iodic acid (HIO3) is widespread and forms particles more efficiently than sulfuric acid, its gas-phase formation mechanism remains unresolved. Here, in CLOUD atmospheric simulation chamber experiments that generate iodine radicals at atmospherically relevant rates, we show that iodooxy hypoiodite, IOIO, is efficiently converted into HIO3 via reactions (R1) IOIO + O3 → IOIO4 and (R2) IOIO4 + H2O → HIO3 + HOI + (1)O2. The laboratory-derived reaction rate coefficients are corroborated by theory and shown to explain field observations of daytime HIO3 in the remote lower free troposphere. The mechanism provides a missing link between iodine sources and particle formation. Because particulate iodate is readily reduced, recycling iodine back into the gas phase, our results suggest a catalytic role of iodine in aerosol formation. CC-BY-4.0 Other http://creativecommons.org/licenses/by/4.0/ The Author(s) 2022 INSPIRE Chemical Physics and Chemistry ARTICLE CERN Iyer, Siddharth Tampere U. of Tech. He, Xu-Cheng Helsinki U. Simon, Mario Goethe U., Frankfurt (main) Koenig, Theodore K Colorado U. Colorado U., CIRES Peking U., Beijing Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA. Lee, Christopher F Colorado U. Colorado U., CIRES Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA. Valiev, Rashid Helsinki U. Hofbauer, Victoria Carnegie Mellon U. Amorim, Antonio Lisbon U. Baalbaki, Rima Helsinki U. Baccarini, Andrea PSI, Villigen LPHE, Lausanne Extreme Environments Research Laboratory, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. Beck, Lisa Helsinki U. Bell, David M PSI, Villigen Caudillo, Lucía Goethe U., Frankfurt (main) Chen, Dexian Carnegie Mellon U. Chiu, Randall Colorado U. Colorado U., CIRES Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA. Chu, Biwu Helsinki U. Beijing, Inst. High Energy Phys. Research Center for Eco-Environmental Sciences, Chinese Academy of Science, Beijing, China. Dada, Lubna Helsinki U. PSI, Villigen Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland. Duplissy, Jonathan Helsinki U. Helsinki Inst. of Phys. Helsinki Institute of Physics (HIP) / Physics, Faculty of Science, University of Helsinki, Helsinki, Finland. Heinritzi, Martin Goethe U., Frankfurt (main) Kemppainen, Deniz Helsinki U. Kim, Changhyuk Pusan Natl. U. Caltech Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA. Krechmer, Jordan New England Nucl. Kürten, Andreas Goethe U., Frankfurt (main) Kvashnin, Alexandr Lebedev Inst. Lamkaddam, Houssni PSI, Villigen Lee, Chuan Ping PSI, Villigen Lehtipalo, Katrianne Helsinki U. Finnish Meteorological Inst. Finnish Meteorological Institute, Helsinki, Finland. Li, Zijun Aalto U. Makhmutov, Vladimir Lebedev Inst. Moscow, MIPT Moscow Institute of Physics and Technology (National Research University), Moscow, Russia. Manninen, Hanna E CERN Marie, Guillaume Goethe U., Frankfurt (main) Marten, Ruby PSI, Villigen Mauldin, Roy L Colorado U. Carnegie Mellon U. Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA, USA. Mentler, Bernhard Innsbruck U. Müller, Tatjana Goethe U., Frankfurt (main) Petäjä, Tuukka Helsinki U. Philippov, Maxim Lebedev Inst. Ranjithkumar, Ananth Leeds U., Math. Rörup, Birte Helsinki U. Shen, Jiali Helsinki U. Stolzenburg, Dominik Helsinki U. Vienna U. Faculty of Physics, University of Vienna, Vienna, Austria. Tauber, Christian Vienna U. Tham, Yee Jun Helsinki U. Zhongshan U., Zhuhai School of Marine Sciences, Sun Yat-sen University, Zhuhai, China. Tomé, António Beira Interior U., Covilha Vazquez-Pufleau, Miguel Vienna U. Wagner, Andrea C Colorado U. Colorado U., CIRES Goethe U., Frankfurt (main) Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA. Wang, Dongyu S PSI, Villigen Wang, Mingyi Caltech Wang, Yonghong Helsinki U. Beijing, Inst. High Energy Phys. Research Center for Eco-Environmental Sciences, Chinese Academy of Science, Beijing, China. Weber, Stefan K Goethe U., Frankfurt (main) CERN CERN, the European Organization for Nuclear Research, Geneva, Switzerland. Nie, Wei Nanjing U. (main) Wu, Yusheng Helsinki U. Xiao, Mao PSI, Villigen Ye, Qing Carnegie Mellon U. Zauner-Wieczorek, Marcel Goethe U., Frankfurt (main) Hansel, Armin Innsbruck U. Baltensperger, Urs PSI, Villigen Brioude, Jérome CNAM, Paris Curtius, Joachim Goethe U., Frankfurt (main) Donahue, Neil M Carnegie Mellon U. Haddad, Imad El PSI, Villigen Flagan, Richard C Caltech Kulmala, Markku Helsinki U. Nanjing U. (main) CICQM, Beijing Joint International Research Laboratory of Atmospheric and Earth System Research, School of Atmospheric Sciences, Nanjing University, Nanjing, China. Kirkby, Jasper Goethe U., Frankfurt (main) CERN CERN, the European Organization for Nuclear Research, Geneva, Switzerland. Sipilä, Mikko Helsinki U. Worsnop, Douglas R Helsinki U. New England Nucl. Aerodyne Research, Billerica, MA, USA. Kurten, Theo Helsinki U. Rissanen, Matti Tampere U. of Tech. Volkamer, Rainer Colorado U. Colorado U., CIRES Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA. 129-135 1 Nature Chem. 15 2022 2441543 3433406 http://cds.cern.ch/record/2852840/files/s41557-022-01067-z (1).pdf Fulltext 13 ARTICLE 2852716 SzGeCERN 20230317202849.0 DOI 10.5194/acp-22-215-2022 oai:cds.cern.ch:2852716 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2023-03-17T05:13:40Z marcxml oai:inspirehep.net:2637141 2023-03-16T15:42:00Z Inspire 2637141 eng Amaladhasan, Dalrin Ampritta McGill U. submitter Modelling the gas–particle partitioning and water uptake of isoprene-derived secondary organic aerosol at high and low relative humidity 2022 30 p submitter Abstract. This study presents a characterization of the hygroscopic growth behaviour and effects of different inorganic seed particles on the formation of secondary organic aerosols (SOAs) from the dark ozone-initiated oxidation of isoprene at low NOx conditions. We performed simulations of isoprene oxidation using a gas-phase chemical reaction mechanism based on the Master Chemical Mechanism (MCM) in combination with an equilibrium gas–particle partitioning model to predict the SOA concentration. The equilibrium model accounts for non-ideal mixing in liquid phases, including liquid–liquid phase separation (LLPS), and is based on the AIOMFAC (Aerosol Inorganic–Organic Mixtures Functional groups Activity Coefficients) model for mixture non-ideality and the EVAPORATION (Estimation of VApour Pressure of ORganics, Accounting for Temperature, Intramolecular, and Non-additivity effects) model for pure compound vapour pressures. Measurements from the Cosmics Leaving Outdoor Droplets (CLOUD) chamber experiments, conducted at the European Organization for Nuclear Research (CERN) for isoprene ozonolysis cases, were used to aid in parameterizing the SOA yields at different atmospherically relevant temperatures, relative humidity (RH), and reacted isoprene concentrations. To represent the isoprene-ozonolysis-derived SOA, a selection of organic surrogate species is introduced in the coupled modelling system. The model predicts a single, homogeneously mixed particle phase at all relative humidity levels for SOA formation in the absence of any inorganic seed particles. In the presence of aqueous sulfuric acid or ammonium bisulfate seed particles, the model predicts LLPS to occur below ∼ 80 % RH, where the particles consist of an inorganic-rich liquid phase and an organic-rich liquid phase; however, this includes significant amounts of bisulfate and water partitioned to the organic-rich phase. The measurements show an enhancement in the SOA amounts at 85 % RH, compared to 35 % RH, for both the seed-free and seeded cases. The model predictions of RH-dependent SOA yield enhancements at 85 % RH vs. 35 % RH are 1.80 for a seed-free case, 1.52 for the case with ammonium bisulfate seed, and 1.06 for the case with sulfuric acid seed. Predicted SOA yields are enhanced in the presence of an aqueous inorganic seed, regardless of the seed type (ammonium sulfate, ammonium bisulfate, or sulfuric acid) in comparison with seed-free conditions at the same RH level. We discuss the comparison of model-predicted SOA yields with a selection of other laboratory studies on isoprene SOA formation conducted at different temperatures and for a variety of reacted isoprene concentrations. Those studies were conducted at RH levels at or below 40 % with reported SOA mass yields ranging from 0.3 % up to 9.0 %, indicating considerable variations. A robust feature of our associated gas–particle partitioning calculations covering the whole RH range is the predicted enhancement of SOA yield at high RH (> 80 %) compared to low RH (dry) conditions, which is explained by the effect of particle water uptake and its impact on the equilibrium partitioning of all components. CC-BY-4.0 https://creativecommons.org/licenses/by/4.0/ Author(s) 2022 SzGeCERN Astrophysics and Astronomy ARTICLE CERN Heyn, Claudia PSI, Villigen Hoyle, Christopher R PSI, Villigen Zurich, ETH Institute for Atmospheric and Climate Science, ETH Zurich, 8092 Zurich, Switzerland Haddad, Imad El PSI, Villigen Elser, Miriam PSI, Villigen Swiss Federal Laboratories for Materials Science and Technology, Automotive Powertrain Technologies, Dübendorf, Switzerland Pieber, Simone M PSI, Villigen EMPA, Dubendorf Empa, Laboratory for Air Pollution/Environmental Technology, Ueberlandstrasse 129, 8600 Dübendorf, Switzerland Slowik, Jay G PSI, Villigen Amorim, Antonio Lisbon U. Duplissy, Jonathan Helsinki U. Helsinki Inst. of Phys. Helsinki Institute of Physics, University of Helsinki, 00014 Helsinki, Finland Ehrhart, Sebastian CERN Helsinki U. Marine Research Centre, Finnish Environment Institute (SYKE), 00790, Helsinki, Finland Makhmutov, Vladimir Lebedev Inst. Molteni, Ugo PSI, Villigen Rissanen, Matti Tampere U. of Tech. Stozhkov, Yuri Lebedev Inst. Wagner, Robert Helsinki U. Hansel, Armin Innsbruck U. Kirkby, Jasper CERN Frankfurt U. Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany Donahue, Neil M Carnegie Mellon U. Volkamer, Rainer Colorado U. Baltensperger, Urs PSI, Villigen Gysel-Beer, Martin PSI, Villigen Zuend, Andreas McGill U. 215-244 1 2022 Atmos. Chem. Phys. 22 2441252 3553203 http://cds.cern.ch/record/2852716/files/acp-22-215-2022.pdf Fulltext 13 ARTICLE 2852705 SzGeCERN 20230321163601.0 DOI 10.1186/s00015-022-00407-y oai:cds.cern.ch:2852705 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2637622 2023-03-16T15:30:35Z 2023-03-17T05:13:39Z marcxml Inspire 2637622 eng Haas, Maximilian CERN Geneva U. Subsurface Engineering, Montanuniversität Leoben, Erzherzog-Johann-Strasse 3, 8700 Leoben, Austria. submitter Integrated stratigraphic, sedimentological and petrographical evaluation for CERN’s Future Circular Collider subsurface infrastructure (Geneva Basin, Switzerland-France) 2022 43 p submitter AbstractThe European Organization for Nuclear Research (CERN) is currently undertaking a feasibility study to build the next-generation particle accelerator, named the Future Circular Collider (FCC), hosted in a 90–100 km subsurface infrastructure in the Geneva Basin, extending across western Switzerland and adjacent France. This article represents a preliminary, basin-scale stratigraphic and lithotype analysis using state-of-the-art Swiss and French stratigraphic terminology, set in context with the FCC. Existing stratigraphic information, rock cores and well reports, laboratory analyses and geophysical well-logs from 661 wells representative for the construction area have been integrated to pave the way for a multidisciplinary approach across several geoscientific and engineering domains to guide the FCC’s upcoming technical design phase. Comparisons with well-log data allowed the identification of rock formations and lithotypes, as well as to formulate a preliminary assessment of potential geological hazards. Regional stratigraphic evaluation revealed the FCC’s intersection of 13 geological formations comprising 25 different lithotypes across the Geneva Basin. A lack of data remains for the western to south-western subsurface region of the FCC construction area shown by well-density coverage modelling. The main geological hazards are represented by karstic intervals in the Grand Essert Formation’s Neuchâtel Member, Vallorbe and Vuache formations, associated to fractured limestone lithotypes, and Cenozoic formations represented by the pure to clayey sandstone-bearing Transition zone and Siderolithic Formation. Potential swelling hazard is associated to the presence of anhydrite, and claystone lithotypes of the Molasse Rouge and Grès et Marnes Gris à gypse formations, yielding up to 17.2% of smectite in the Molasse Rouge formation. Hydrocarbon indices in both gaseous and bituminous forms are encountered in the majority of investigated wells, and bear a potential environmental hazard associated with the Molasse Rouge deposits and fractured limestones of the Mesozoic Jura formations. CC-BY-4.0 http://creativecommons.org/licenses/by/4.0/ The Author(s) 2022 SzGeCERN Accelerators and Storage Rings ARTICLE CERN CERN FCC Carraro, Davide Geneva U. Ventra, Dario Geneva U. Plötze, Michael Zurich, ETH De Haller, Antoine Geneva U. Moscariello, Andrea Geneva U. 16 1 Swiss Journal of Geosciences 115 2022 2441244 12821482 http://cds.cern.ch/record/2852705/files/s00015-022-00407-y (1).pdf Fulltext 13 ARTICLE 2851659 SzGeCERN 20230307203247.0 oai:cds.cern.ch:2851659 cerncds:FULLTEXT cerncds:cms-notes CMS-NOTE-2023-001 eng CERN-CMS-NOTE-2023-001 The Tracker Group of the CMS Collaboration YY XX Test beam performance of a CBC3-based mini-module for the Phase-2 CMS Outer Tracker before and after neutron irradiation 2021 Geneva CERN 13 Apr 2021 35 p The Large Hadron Collider (LHC) at CERN will undergo major upgrades to increase the instantaneous luminosity up to 5--7.5$\times10^{34}$\,cm$^{-2}$s$^{-1}$. This High Luminosity upgrade of the LHC (HL-LHC) will deliver a total of 3000--4000\,fb$^{-1}$ of proton-proton collisions at a center-of-mass energy of 13--14\,TeV. To cope with these challenging environmental conditions, the strip tracker of the CMS experiment will be upgraded using modules with two closely-spaced silicon sensors to provide information to include tracking in the Level-1 trigger selection. This paper describes the performance, in a test beam experiment, of the first prototype module based on the final version of the CMS Binary Chip front-end ASIC before and after the module was irradiated with neutrons. Results demonstrate that the prototype module satisfies the requirements, providing efficient tracking information, after being irradiated with a total fluence comparable to the one expected through the lifetime of the experiment. CERN EDS SzGeCERN Detectors and Experimental Techniques CMS TestBeams CMS Tracker CMS SiliconTracker CMS Upgrade INTNOTE CERN PUBLCMS CERN LHC CMS PH CMS Collaboration 2431197 9861845 http://cds.cern.ch/record/2851659/files/NOTE2023_001.pdf n 202310 PUBLIC INTNOTECMSPUBL NOTE 2851297 20251201181101.0 oai:cds.cern.ch:2851297 cerncds:TALK eng Indico 14582 CERN. Geneva Noisy gates approach for simulating quantum computers CERN - Online 2023-03-01T11:00:00 2023-03-01T12:00:00 1247873 Noisy gates approach for simulating quantum computers 2023 2023-03-01 4000 Streaming video QTI Lectures 2023-03-01T11:00:00 <!--HTML--><p>In the seminar we present a novel method for simulating the noisy&nbsp;behavior of quantum computers, which allows to efficiently incorporate&nbsp;environmental effects in the driven evolution implementing the gates on&nbsp;the qubits. We show how to modify the noiseless gate executed by the&nbsp;computer to include any Markovian noise, hence resulting in what we will&nbsp;call a noisy gate. We test our method against the IBM Qiskit simulator and&nbsp;show that it follows more closely both the analytical evolution of the&nbsp;Lindblad equation as well as the behavior of a real quantum computer, thus&nbsp;offering a more accurate noise simulator of NISQ devices. The method is&nbsp;flexible enough to potentially describe any noise, including non-Markovian&nbsp;ones.</p><p><strong>About the speakers</strong></p><p><span style="color:hsl(210,75%,60%);"><strong>Giovanni di Bartolomeo</strong></span> and <span style="color:hsl(210,75%,60%);"><strong>Michele Vischi</strong></span> are PhD students in the QMTS group at the University of Trieste. They are working together on the development of new techniques for the analysis of noise in quantum algorithms and error mitigation strategies.</p><p>Giovanni's main research interests are quantum information, open quantum systems and models of wave function collapse related to gravity.</p><p>Michele's main research interests are quantum computation, decoherence in quantum devices, and superconducting quantum circuits.</p><p><strong>Collaborators</strong>&nbsp;<br>Francesco Cesa, Roman Wixinger, Michele Grossi, Sandro Donadi, Angelo Bassi</p> CERN 2023 QTI Lectures Event TALK CERN Di Bartolomeo, Giovanni speaker QMTS group, Univ. of Trieste Vischi, Michele speaker https://indico.cern.ch/event/1247873/ Event details MediaArchive /mnt/master_share/master_data/2023/1247873 Absolute master path MediaArchive https://lecturemedia.cern.ch/2023/1247873/1247873-presenter-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2023/1247873/1247873-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x686. Baudrate: 490986 MediaArchive https://lecturemedia.cern.ch/2023/1247873/1247873-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1028. Baudrate: 865074 MediaArchive https://lecturemedia.cern.ch/2023/1247873/1247873-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x342. Baudrate: 191141 MediaArchive https://lecturemedia.cern.ch/2023/1247873/1247873-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x256. Baudrate: 78975 miguel.marquina@cern.ch Di Bartolomeo, Giovanni QMTS group, Univ. of Trieste Vischi, Michele 2023-01-27T09:04:08 2023-03-01T14:11:14 PUBLIC INDICO.1247873 https://videos.cern.ch/legacy/record/2851297 Indico CMTE MIGRATED 2855648 20231208231529.0 oai:cds.cern.ch:2855648 cerncds:FULLTEXT BUL-SA-2023-028 en fr Staff Association Second SCC meeting of the year 2023 Seconde réunion du CCP de l’année 2023 2023 06/04/2023 <!--HTML--> <p><img alt="" src="https://cds.cern.ch/record/2855648/files/bataille%20corde_image.jpg?subformat=icon" style="height:148px; width:500px" /></p> <p>As we mentioned in our <a href="https://staff-association.web.cern.ch/fr/actualites-et-publications/news-echo" target="_blank">ECHO 400</a>, for transparency and to ensure all staff are kept up-to-date about our discussions with the Administration, the Staff Association is sharing our understanding of the exchanges during the Standing Concertation Committee (SCC) meetings with you.</p> <p>This year&rsquo;s second SCC meeting was held on 9 March in a rather tense atmosphere, notably on the subject of travel. For that reason we have chosen to report in this ECHO on the discussions concerning that specific issue. You can find information about all of the points on the agenda in the full version of this article on <a href="https://staff-association.web.cern.ch/fr/actualites-et-publications/news-echo" target="_blank">our website</a>.<br /> &nbsp; &nbsp;<br /> <u><strong>Institutional and official travel excluding home leave: The Administration&#39;s Technical Working Group on Travel&nbsp; </strong></u></p> <p>First some background: at an SCC meeting in June 2022, the Administration announced its intention to make savings on the travel budget and, without prior consultation, to introduce the systematic reimbursement of accommodation expenses on the basis of actual costs. The SA objected to these measures.</p> <p>During the September 2022 SCC meeting, the Administration returned to this issue and proposed to set up a group of technical experts, including SA representatives, and to broaden the scope of the discussion to cover not only official travel (e.g. to conferences and workshops), but also statutory travel (such as travel for home leave, travel for family reasons and travel expenses to enable children of staff studying outside the local area to visit their families).</p> <p>The SA agreed to participate in this working group of technical experts, in order to better understand the Administration&#39;s ideas and to see if any proposed changes could be in the interest of the Members of the personnel as well as those of the Organisation. This soon appeared to be a mission impossible.</p> <p>&nbsp;</p> <p>At the March 2023 SCC meeting, the proposals put on the table, supposedly justified by the objectives of fair treatment and administrative simplification and rationalisation, were as follows:</p> <ul> <li>Regarding arrival and departure travel, the proposal was for the members of the personnel and fellows to replace the current method of reimbursement (actual expenses) by a flat rate per country currently applied only to students and GRADS. On this occasion, it also became apparent that the reimbursement method applied since 2014 to students was knowingly modified without concertation and never brought to the attention of the SCC.</li> <li>Concerning missions, the proposal remained the same as that of June 2022, i.e. to reimburse accommodation costs exclusively on the basis of the actual cost, and to remove the possibility, provided today by the rules in force, of preferring to be reimbursed by a lump sum (the Daily Travel Allowance - DTA).</li> <li>With regard to the Staff Regulations and Rules, the current provisions being presented as an &quot;anomaly&quot; (the previous Directorates which proposed these provisions to the governing bodies of the Organisation and those which approved them will certainly appreciate this description), the Administration has proposed to delete the reference to the Daily Travel Allowance (DTA). However, it should be noted that staff members and their families are entitled to a lump sum (DTA) for travel on taking up duty, termination of contract, change of duty station, missions, and travel for family reasons.</li> <li>For other types of travel, the working group did not have time to make mature proposals. Nevertheless, the preliminary ideas on the table were to replace the current method of reimbursement by a flat rate per country currently applied only to students and GRADS.</li> </ul> <p>&nbsp;</p> <p>In this respect, since no joint proposal could be drawn up, even less agreed in the SCC, the Staff Association indicated that such changes, which affect the financial conditions of the employed members of the personnel (<a href="https://cds.cern.ch/record/1993099/files/CERN_SRR_en_ed11_modif11.pdf" target="_blank">Chapitre V des S&R</a>), could not be made outside a five-yearly review and that these discussions should therefore wait for a future one.</p> <p>The Staff Council confirmed this view and, on this basis, opposed the proposed changes and the continuation of discussions in the Technical Working Group.</p> <p>The Staff Council further mandated the SA delegation to the SCC to make the following statement:</p> <p><em>&quot;Staff Council opposes the proposed changes to the reimbursement of travel expenses, which is a social and financial condition of employment for staff, as defined in Annex A1 of the S&RP and therefore no changes can be made to it outside of a five-year review.&quot;&nbsp; </em></p> <p>The SCC Chair has requested a legal opinion on the merits of the SA&#39;s position. To be continued.</p> <p>&nbsp;</p> <p><strong><u>Official travel: Reducing greenhouse gas emissions</u></strong></p> <p>Following the publication of <a href="https://hse.cern/environment-report-2019-2020" target="_blank">CERN&rsquo;s second environmental report</a>, a working group was formed with a mandate to develop recommendations for updating the Official Travel Guidelines to reduce greenhouse gas (GHG) emissions from official travel. In particular, the working group was asked to:</p> <p>&nbsp;&nbsp;&nbsp; &bull;consider how to empower and encourage CERN Members of personnel to make climate-friendly decisions when planning their travel to and from CERN, and</p> <p>&nbsp;&nbsp;&nbsp; &bull;examine the infrastructure and framework necessary to continue and increase remote participation at events whilst ensuring their optimal quality.</p> <p>&nbsp;</p> <p>The working group requested that the following principles be incorporated into Administrative Circular No. 33 (<a href="https://cds.cern.ch/record/2703986/files/CERN_Circ_Admin_fr_33.pdf?" target="_blank">Missions</a>):&nbsp;</p> <p>&nbsp;&nbsp;&nbsp; &bull;Assessment of the need to travel (as opposed to virtual alternatives)&nbsp;</p> <p>&nbsp;&nbsp;&nbsp; &bull;Priority be given to environmentally friendly means of transport (taking into account all other aspects including the efficiency of transport and the preservation of proper travel conditions for the Members of personnel going on mission in the interest of the Organisation).&nbsp;</p> <p>The Staff Association (SA) has of course supported this approach but will monitor developments to ensure that proper travel conditions are indeed preserved.</p> <p>---------</p> <p>We invite you to read the full article on <a href="http://staff-association.web.cern.ch/fr/actualites-et-publications/news-echo">our website</a> .</p> <!--HTML--> <p><img alt="" src="https://cds.cern.ch/record/2855648/files/bataille%20corde_image.jpg?subformat=icon" style="height:148px; width:500px" /></p> <p>Comme nous vous l&rsquo;avons d&eacute;j&agrave; indiqu&eacute; dans notre num&eacute;ro <a href="https://staff-association.web.cern.ch/fr/actualites-et-publications/news-echo" target="_blank">ECHO 400</a>, dans une volont&eacute; de rendre transparentes les discussions, et d&rsquo;informer l&rsquo;ensemble du personnel au plus pr&egrave;s des discussions, l&rsquo;Association du personnel continue de partager avec vous sa compr&eacute;hension des &eacute;changes lors des s&eacute;ances du CCP.&nbsp;<br /> La seconde r&eacute;union de 2023 du Comit&eacute; de Concertation Permanent (CCP) s&rsquo;est tenue le 9 mars dernier, dans une atmosph&egrave;re assez tendue, en particulier sur la th&eacute;matique des voyages.&nbsp;<br /> Dans ce num&eacute;ro de l&rsquo;ECHO, nous avons choisi de vous relater ici les discussions concernant sp&eacute;cifiquement celle-ci. Vous pourrez retrouver l&rsquo;ensemble des points &agrave; l&rsquo;agenda, retrac&eacute;s dans la version compl&egrave;te de cet article sur <a href="https://staff-association.web.cern.ch/fr/actualites-et-publications/news-echo" target="_blank">notre site web</a>.<br /> &nbsp; &nbsp;<br /> <u><strong>Voyages institutionnels et officiels &agrave; l&rsquo;exclusion des voyages de retour dans les foyers : Groupe de travail technique de l&rsquo;Administration concernant les voyages &nbsp;</strong></u><br /> &nbsp;<br /> Il est utile de retracer d&rsquo;abord le contexte de cette question.<br /> En juin 2022, en s&eacute;ance du CCP, l&rsquo;Administration fait part de sa volont&eacute; de r&eacute;aliser des &eacute;conomies sur ce poste budg&eacute;taire et, sans concertation pr&eacute;alable, de mettre en place le remboursement syst&eacute;matique sur frais r&eacute;els des d&eacute;penses d&rsquo;h&eacute;bergement. L&rsquo;AP rejette cette approche.<br /> Lors de la s&eacute;ance du CCP de septembre 2022, l&rsquo;Administration est revenue sur cette question et a propos&eacute; de cr&eacute;er un groupe d&rsquo;experts techniques incluant l&rsquo;AP et d&rsquo;&eacute;largir le champ de la discussion non seulement aux voyages officiels mais aussi statutaires (voyages dans les foyers, voyages suppl&eacute;mentaires aux foyers, &nbsp;voyages pour des raisons familiales, frais de d&eacute;placement pour permettre aux enfants du personnel &eacute;tudiant en dehors de la r&eacute;gion locale de rendre visite &agrave; leur famille et voyages d&rsquo;arriv&eacute;e et de d&eacute;part au/du CERN).<br /> L&rsquo;AP a accept&eacute; de participer &agrave; ce groupe de travail d&rsquo;experts techniques, afin de mieux comprendre les id&eacute;es de l&rsquo;Administration et de voir si elles pouvaient &ecirc;tre autant dans l&rsquo;int&eacute;r&ecirc;t du personnel que de l&rsquo;Organisation. Mais ceci est vite apparu comme une mission impossible.<br /> &nbsp; &nbsp;<br /> Lors de la s&eacute;ance du CCP de mars 2023, les propositions mises sur la table, soi-disant justifi&eacute;es par des objectifs d&rsquo;un traitement &eacute;quitable et de simplification administrative et rationalisation, &eacute;taient les suivantes :<br /> &nbsp;&nbsp; &nbsp;&bull;Concernant les voyages d&rsquo;arriv&eacute;e et de d&eacute;part, la proposition &eacute;tait pour les titulaires et boursiers de remplacer la m&eacute;thode de remboursement actuelle (frais r&eacute;els) par un forfait par pays appliqu&eacute; aujourd&rsquo;hui aux seuls &eacute;tudiants et GRADS. A cette occasion, il est, en plus, apparu que la m&eacute;thode de remboursement appliqu&eacute;e depuis 2014 aux &eacute;tudiants a &eacute;t&eacute; sciemment modifi&eacute;e sans concertation et jamais port&eacute;e &agrave; la connaissance du CCP.<br /> &nbsp;&nbsp; &nbsp;&bull;Concernant les missions, la proposition restait la m&ecirc;me que celle du juin 2022, c&rsquo;est &agrave; dire rembourser les frais d&rsquo;h&eacute;bergement sur la base du co&ucirc;t r&eacute;el exclusivement, et supprimer la possibilit&eacute;, pr&eacute;vue aujourd&rsquo;hui par les r&egrave;gles en vigueur, de pr&eacute;f&eacute;rer &ecirc;tre rembours&eacute; par un montant forfaitaire (l&rsquo;indemnit&eacute; journali&egrave;re de voyage - Daily Travel Allowance ou DTA).</p> <p>&nbsp;&nbsp; &nbsp;&bull;Concernant les Statut et R&egrave;glement du personnel, les dispositions actuelles &eacute;tant pr&eacute;sent&eacute;es comme &eacute;tant une &laquo; anomalie &raquo; (les Directions pr&eacute;c&eacute;dentes qui ont propos&eacute; ces dispositions aux organes directeurs de l&rsquo;Organisation et ceux-ci qui les ont approuv&eacute;es appr&eacute;cieront certainement ce qualificatif),&nbsp; la Direction a propos&eacute; d&rsquo;effacer la r&eacute;f&eacute;rence &agrave; l&rsquo;indemnit&eacute; journali&egrave;re de voyage (DTA). Or, il faut savoir que le membre du personnel et sa famille ont droit &agrave; un forfait (DTA) lors de voyage pour l&#39;entr&eacute;e en fonction, l&rsquo;extinction du contrat, lors d&rsquo;un changement de lieu d&rsquo;affectation, lors de missions et lors de voyages pour des raisons familiales.<br /> &nbsp;&nbsp; &nbsp;&bull;Concernant les autres types de voyages, le groupe de travail n&rsquo;avait pas eu le temps de faire des propositions abouties. N&eacute;anmoins, les id&eacute;es pr&eacute;liminaires sur la table, &eacute;taient de remplacer pour les titulaires et boursiers le forfait actuel pour les voyages dans les foyers par le forfait par pays appliqu&eacute; aujourd&rsquo;hui aux seuls &eacute;tudiants et GRADS.</p> <p>&nbsp;</p> <p>La position soutenue par l&rsquo;Association du personnel &eacute;tait et reste de pr&eacute;server les principes qu&rsquo;elle s&rsquo;est engag&eacute;e &agrave; d&eacute;fendre comme :&nbsp;<br /> &nbsp;&nbsp; &nbsp;&bull;Le principe de granularit&eacute; g&eacute;ographique pour proc&eacute;der aux remboursements des voyages, la m&eacute;thode actuelle tient compte non seulement du pays mais aussi de la destination finale. Ainsi elle garantit un traitement &eacute;quitable des voyageurs. Un forfait par pays n&rsquo;est pas acceptable.<br /> &nbsp;&nbsp; &nbsp;&bull;La m&eacute;thode de calcul utilis&eacute;e pour les voyages dans les foyers depuis 40 ans, automatis&eacute;e et mise en &oelig;uvre dans EDH depuis 2002, est d&eacute;j&agrave; un processus administratif simple, rationalis&eacute; et satisfaisant.&nbsp;<br /> &nbsp;&nbsp; &nbsp;&bull;Le principe d&rsquo;indemnit&eacute; journali&egrave;re de voyage (DTA) doit &ecirc;tre pr&eacute;serv&eacute;. Le fait d&rsquo;appliquer l&rsquo;indemnit&eacute; journali&egrave;re de voyage que lors des missions, ne repr&eacute;sente pas une anomalie et ne doit pas justifier la suppression d&rsquo;un droit du membre du personnel et membres de famille, dans les statut et r&egrave;glement du personnel.</p> <p>&nbsp;</p> <p>Sur ce point, puisqu&rsquo;aucune proposition commune n&rsquo;a pu &ecirc;tre &eacute;labor&eacute;e et encore moins concert&eacute;e au CCP, l&rsquo;Association a indiqu&eacute; que de tels changements qui touchent aux conditions financi&egrave;res du personnel (<a href="https://cds.cern.ch/record/1993099/files/CERN_SRR_en_ed11_modif11.pdf" target="_blank">Chapitre V des S&R</a>), ne peuvent pas se faire en dehors d&rsquo;une r&eacute;vision quinquennale et que ces discussions devaient donc attendre une prochaine r&eacute;vision quinquennale.</p> <p>Le Conseil du personnel avait d&rsquo;ailleurs confirm&eacute; ce point de vue et s&rsquo;&eacute;tait sur cette base oppos&eacute; aux changements propos&eacute;s et &agrave; la continuation des discussions au sein du groupe de travail technique.&nbsp;</p> <p>Le Conseil du personnel a, de plus, mandat&eacute; la d&eacute;l&eacute;gation au CCP de faire la d&eacute;claration suivante :&nbsp;<br /> <em>&laquo; Le Conseil du personnel s&rsquo;oppose aux propositions des modifications concernant le remboursement des frais de voyages, qui constitue une condition sociale et financi&egrave;re de l&rsquo;engagement du personnel, au sens de l&rsquo;Annexe A1 des S&RP et par cons&eacute;quent aucune modification ne peut y &ecirc;tre apport&eacute;e en dehors d&rsquo;un examen quinquennal &raquo; &nbsp;</em><br /> Le Pr&eacute;sident du CCP a demand&eacute; un avis juridique sur le bien-fond&eacute; de la position de l&rsquo;AP. Affaire &agrave; suivre donc...</p> <p>&nbsp;</p> <p><u><strong>Voyages officiels : &nbsp;R&eacute;duire les &eacute;missions de gaz &agrave; effet de serre&nbsp;</strong></u></p> <p>Un groupe de travail, &agrave; la suite du <a href="https://hse.cern/environment-report-2019-2020" target="_blank">second rapport sur l&rsquo;environnemen</a>t, a &eacute;t&eacute; form&eacute; avec pour mandat d&rsquo;&eacute;laborer des recommandations pour mettre &agrave; jour les directives concernant les voyages officiels afin de r&eacute;duire les &eacute;missions de gaz &agrave; effet de serre (GES) engendr&eacute;s par les voyages officiels. En particulier, il s&rsquo;agissait de :&nbsp;<br /> &nbsp;&nbsp; &nbsp;&bull;Responsabiliser et encourager le personnel du CERN &agrave; prendre des d&eacute;cisions respectueuses du climat lorsqu&rsquo;ils planifient leurs d&eacute;placements pour se rendre au CERN et en revenir, et<br /> &nbsp;&nbsp; &nbsp;&bull;Examiner l&rsquo;infrastructure et le cadre n&eacute;cessaires &agrave; la poursuite et &agrave; l&rsquo;intensification de la virtualisation continue et accrue des interactions tout en garantissant leur qualit&eacute; optimale &nbsp;</p> <p>&nbsp;</p> <p>Le groupe de travail a demand&eacute; d&rsquo;int&eacute;grer les principes suivants dans la circulaire administrative n&deg;33 (<a href="https://cds.cern.ch/record/2703986/files/CERN_Circ_Admin_fr_33.pdf?" target="_blank">Missions</a>) : &nbsp;<br /> &nbsp;&nbsp; &nbsp;&bull;&Eacute;valuation de la n&eacute;cessit&eacute; de voyager (par opposition aux alternatives virtuelles) &nbsp;<br /> &nbsp;&nbsp; &nbsp;&bull;Priorit&eacute; aux moyens de transport respectueux de l&rsquo;environnement (en tenant compte de tous les autres aspects incluant l&rsquo;efficacit&eacute; du transport et la pr&eacute;servation de conditions correctes de voyage pour le membre du personnel qui part en mission dans l&rsquo;int&eacute;r&ecirc;t de l&rsquo;Organisation). &nbsp;</p> <p>L&rsquo;Association du personnel (AP) a bien sur soutenu cette approche mais elle veillera &agrave; ce que soient effectivement pr&eacute;serv&eacute;es des conditions de voyage correctes.&nbsp;</p> <p>- - - - -</p> <p>Nous vos invitons &agrave; consulter l&rsquo;article dans son int&eacute;gralit&eacute; sur <a href="https://staff-association.web.cern.ch/fr/actualites-et-publications/news-echo" target="_blank">notre site interne</a>t.</p> NO noicon ONLINE 1 17/2023 CERN Bulletin 1 18/2023 CERN Bulletin 2447268 1671146 http://cds.cern.ch/record/2855648/files/bataille corde_image.jpg 2447268 78295 http://cds.cern.ch/record/2855648/files/bataille corde_image.jpg?subformat=icon icon Staff.bulletin@cern.ch fiona.nancy.brenugat@cern.ch BULLETINSTAFF 2855605 20250909043354.0 oai:cds.cern.ch:2855605 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI arXiv 10.3390/universe9080347 publication arXiv oai:arXiv.org:2303.17356 oai:inspirehep.net:2647260 https://inspirehep.net/api/oai2d Inspire 2025-09-08T10:29:36Z 2025-09-09T02:00:13Z marcxml true Inspire 2647260 arXiv arXiv:2303.17356 hep-ex eng Alekou, A. ROR:https://ror.org/01ggx4157 ROR:https://ror.org/048a87296 CERN Uppsala U. CERN, 1211 Geneva 23, Switzerland Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden arXiv The ESSnuSB design study: overview and future prospects 2023-07-25 2023-07 2023-03-30 19 p MDPI ESSnuSB is a design study for an experiment to measure the CP violation in the leptonic sector at the second neutrino oscillation maximum using a neutrino beam driven by the uniquely powerful ESS linear accelerator. The reduced impact of systematic errors on sensitivity at the second maximum allows for a very precise measurement of the CP violating parameter. This review describes the fundamental advantages of measurement at the second maximum, the necessary upgrades to the ESS linac in order to produce a neutrino beam, the near and far detector complexes, and the expected physics reach of the proposed ESSnuSB experiment, concluding with the near future developments aimed at the project realization. arXiv ESSnuSB is a design study for an experiment to measure the CP violation in the leptonic sector at the second neutrino oscillation maximum using a neutrino beam driven by the uniquely powerful ESS linear accelerator. The reduced impact of systematic errors on sensitivity at the second maximum allows for a very precise measurement of the CP violating parameter. This review describes the fundamental advantages of measurement at the 2nd maximum, the necessary upgrades to the ESS linac in order to produce a neutrino beam, the near and far detector complexes, the expected physics reach of the proposed ESSnuSB experiment, concluding with the near future developments aimed at the project realization. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ Other publication the authors 2023 arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques arXiv hep-ph SzGeCERN Particle Physics - Phenomenology arXiv hep-ex SzGeCERN Particle Physics - Experiment CERN ARTICLE ESSnuSB Baussan, E. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Bhattacharyya, A.K. ESS, Lund European Spallation Source, P.O. Box 176, SE-221 00 Lund, Sweden Blaskovic Kraljevic, N. ESS, Lund European Spallation Source, P.O. Box 176, SE-221 00 Lund, Sweden Blennow, M. ORCID:0000-0001-5948-9152 ROR:https://ror.org/026vcq606 Royal Inst. Tech., Stockholm Stockholm Observ. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Bogomilov, M. ROR:https://ror.org/02jv3k292 Sofiya U. Faculty of Physics, Sofia University St. Kliment Ohridski, 1164 Sofia, Bulgaria Bolling, B. ESS, Lund European Spallation Source, P.O. Box 176, SE-221 00 Lund, Sweden Bouquerel, E. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Bramati, F. ORCID:0009-0004-6386-070X ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Branca, A. ORCID:0000-0001-8813-2128 ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Buchan, O. ESS, Lund European Spallation Source, P.O. Box 176, SE-221 00 Lund, Sweden Burgman, A. ORCID:0000-0003-1276-676X ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P.O. Box 118, 221 00 Lund, Sweden Carlile, C.J. ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Cederkall, J. ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P.O. Box 118, 221 00 Lund, Sweden Choubey, S. ROR:https://ror.org/026vcq606 Royal Inst. Tech., Stockholm Stockholm Observ. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Christiansen, P. ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P.O. Box 118, 221 00 Lund, Sweden Collins, M. ROR:https://ror.org/012a77v79 Lund U. ESS, Lund European Spallation Source, P.O. Box 176, SE-221 00 Lund, Sweden Faculty of Engineering, Lund University, P.O. Box 118, 221 00 Lund, Sweden Morales, E. Cristaldo ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy D'Alessi, L. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Danared, H. ESS, Lund European Spallation Source, P.O. Box 176, SE-221 00 Lund, Sweden Dancila, D. ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden de André, J.P. A.M. ORCID:0000-0002-8905-1351 ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Delahaye, J.P. ROR:https://ror.org/01ggx4157 CERN CERN, 1211 Geneva 23, Switzerland Dracos, M. ORCID:0000-0003-0514-193X ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Efthymiopoulos, I. ROR:https://ror.org/01ggx4157 CERN CERN, 1211 Geneva 23, Switzerland Ekelöf, T. ORCID:0000-0002-7341-9115 ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Eshraqi, M. ORCID:0000-0002-8101-9787 ROR:https://ror.org/012a77v79 ESS, Lund Lund U. European Spallation Source, P.O. Box 176, SE-221 00 Lund, Sweden Faculty of Engineering, Lund University, P.O. Box 118, 221 00 Lund, Sweden Fanourakis, G. ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Farricker, A. ROR:https://ror.org/02a5smf05 Cockcroft Inst. Accel. Sci. Tech. Cockroft Institute (A36), Liverpool University, Warrington WA4 4AD, UK Fernandez-Martinez, E. ROR:https://ror.org/01cby8j38 ROR:https://ror.org/01cby8j38 Madrid, IFT Madrid, Autonoma U. Departamento de Fisica Teorica and Instituto de Fisica Teorica, IFT-UAM/CSIC, Universidad Autonoma de Madrid, Cantoblanco, 28049 Madrid, Spain Folsom, B. ESS, Lund European Spallation Source, P.O. Box 176, SE-221 00 Lund, Sweden Fukuda, T. ROR:https://ror.org/04chrp450 KMI, Nagoya Institute for Advanced Research, Nagoya University, Nagoya 464-8601, Japan Gazis, N. ESS, Lund European Spallation Source, P.O. Box 176, SE-221 00 Lund, Sweden Gålnander, B. ESS, Lund GSI Helmholtzzentrum für Schwerionenforschung GmbH Planckstraße 1, 64291 Darmstadt, Germany Geralis, Th. ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Ghosh, M. ORCID:0000-0003-3540-6548 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Giarnetti, A. ORCID:0000-0001-8487-8045 ROR:https://ror.org/05vf0dg29 Rome III U. Dipartimento di Matematica e Fisica, Universitá di Roma Tre, Via della Vasca Navale 84, 00146 Rome, Italy Gokbulut, G. ROR:https://ror.org/05wxkj555 Cukurova U. Department of Physics, Faculty of Science and Letters, University of Cukurova, 01330 Adana, Turkey Halić, L. ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Jenssen, M. ESS, Lund European Spallation Source, P.O. Box 176, SE-221 00 Lund, Sweden Johansson, R. ESS, Lund European Spallation Source, P.O. Box 176, SE-221 00 Lund, Sweden Kayis Topaksu, A. ROR:https://ror.org/05wxkj555 Cukurova U. Department of Physics, Faculty of Science and Letters, University of Cukurova, 01330 Adana, Turkey Kildetoft, B. ESS, Lund European Spallation Source, P.O. Box 176, SE-221 00 Lund, Sweden Kliček, B. ORCID:0000-0002-5163-8085 budimir.klicek@irb.hr ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Kozioł, M. Unlisted, PL AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland Krhač, K. ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Łacny, Ł. Unlisted, PL Faculty of Mechanical Engineering, Cracow University of Technology, Al. Jana Pawła II 37, 31-864 Krakow, Poland Lindroos, M. ESS, Lund European Spallation Source, P.O. Box 176, SE-221 00 Lund, Sweden Longhin, A. ROR:https://ror.org/00240q980 ROR:https://ror.org/00z34yn88 Padua U. INFN, Padua Department of Physics and Astronomy “G. Galilei”, University of Padova, Via Marzolo 8, 35131 Padova, Italy INFN Sezione di Padova, Via Marzolo 8, 35131 Padova, Italy Maiano, C. ESS, Lund European Spallation Source, P.O. Box 176, SE-221 00 Lund, Sweden Marangoni, S. ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Marrelli, C. ESS, Lund European Spallation Source, P.O. Box 176, SE-221 00 Lund, Sweden Martins, C. ESS, Lund European Spallation Source, P.O. Box 176, SE-221 00 Lund, Sweden Meloni, D. ROR:https://ror.org/05vf0dg29 Rome III U. Dipartimento di Matematica e Fisica, Universitá di Roma Tre, Via della Vasca Navale 84, 00146 Rome, Italy Mezzetto, M. ROR:https://ror.org/00z34yn88 INFN, Padua INFN Sezione di Padova, Via Marzolo 8, 35131 Padova, Italy Milas, N. ESS, Lund European Spallation Source, P.O. Box 176, SE-221 00 Lund, Sweden Oglakci, M. ROR:https://ror.org/05wxkj555 Cukurova U. Department of Physics, Faculty of Science and Letters, University of Cukurova, 01330 Adana, Turkey Ohlsson, T. ORCID:0000-0002-3525-8349 ROR:https://ror.org/026vcq606 Royal Inst. Tech., Stockholm Stockholm Observ. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Olvegård, M. ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Ota, T. ROR:https://ror.org/01cby8j38 ROR:https://ror.org/01cby8j38 Madrid, IFT Madrid, Autonoma U. Departamento de Fisica Teorica and Instituto de Fisica Teorica, IFT-UAM/CSIC, Universidad Autonoma de Madrid, Cantoblanco, 28049 Madrid, Spain Pari, M. ROR:https://ror.org/00240q980 ROR:https://ror.org/00z34yn88 Padua U. INFN, Padua Department of Physics and Astronomy “G. Galilei”, University of Padova, Via Marzolo 8, 35131 Padova, Italy INFN Sezione di Padova, Via Marzolo 8, 35131 Padova, Italy Park, J. ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P.O. Box 118, 221 00 Lund, Sweden Patrzalek, D. ESS, Lund European Spallation Source, P.O. Box 176, SE-221 00 Lund, Sweden Petkov, G. ROR:https://ror.org/02jv3k292 Sofiya U. Faculty of Physics, Sofia University St. Kliment Ohridski, 1164 Sofia, Bulgaria Poussot, P. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Pupilli, F. ORCID:0000-0002-3132-7933 ROR:https://ror.org/00z34yn88 INFN, Padua INFN Sezione di Padova, Via Marzolo 8, 35131 Padova, Italy Rosauro-Alcaraz, S. ROR:https://ror.org/03gc1p724 IJCLab, Orsay Pôle Théorie, Laboratoire de Physique des 2 Infinis Iréne Joliot Curie (UMR 9012) CNRS/IN2P3, 15 Rue Georges Clemenceau, 91400 Orsay, France Saiang, D. Lulea U. Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, SE-971 87 Luleå, Sweden Snamina, J. Unlisted, PL AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Krakow, Poland Sosa, A. ESS, Lund European Spallation Source, P.O. Box 176, SE-221 00 Lund, Sweden Stavropoulos, G. ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Stipčević, M. ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Szybiński, B. Unlisted, PL Faculty of Mechanical Engineering, Cracow University of Technology, Al. Jana Pawła II 37, 31-864 Krakow, Poland Tarkeshian, R. ESS, Lund European Spallation Source, P.O. Box 176, SE-221 00 Lund, Sweden Terranova, F. ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Thomas, J. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Tolba, T. ROR:https://ror.org/00g30e956 Hamburg U. Institute for Experimental Physics, Hamburg University, 22761 Hamburg, Germany Trachanas, E. ORCID:0000-0002-5724-524X ESS, Lund European Spallation Source, P.O. Box 176, SE-221 00 Lund, Sweden Tsenov, R. ROR:https://ror.org/02jv3k292 Sofiya U. Faculty of Physics, Sofia University St. Kliment Ohridski, 1164 Sofia, Bulgaria Vankova-Kirilova, G. ROR:https://ror.org/02jv3k292 Sofiya U. Faculty of Physics, Sofia University St. Kliment Ohridski, 1164 Sofia, Bulgaria Vassilopoulos, N. ORCID:0000-0001-6079-3514 ROR:https://ror.org/03v8tnc06 Beijing, Inst. High Energy Phys. Institute of High Energy Physics (IHEP) Dongguan Campus, Chinese Academy of Sciences (CAS), 1 Zhongziyuan Road, Dongguan, Guangdong 523803, China Wildner, E. ROR:https://ror.org/01ggx4157 CERN CERN, 1211 Geneva 23, Switzerland Wurtz, J. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Zormpa, O. ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Zou, Y. ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden ESSnuSB Collaboration 347 8 Universe 9 2023 2446893 576839 http://cds.cern.ch/record/2855605/files/ESSnuSBplus_layout.png 00013 Layout \textls[-15]{of the proposed upgrades to the ESS linear accelerator, including those from \essnusb{} and \essnusbplus{}. The \essnusbplus{} upgrades include a special target station, a muon storage racetrack ring (\lenustorm), a low-energy monitored neutrino beam (LEMNB) line, and a new near detector to be used both for \lenustorm{} and LEMNB. The \essnusb{} near detector will be used as a far detector for \lenustorm{} and LEMNB. The image has been reprinted from the \essnusbplus{} proposal.} 2446894 28778 http://cds.cern.ch/record/2855605/files/ACP_vs_E.png 00000 Dependence of $\mathcal{A}^{\mu \rightarrow e}_\text{CP}$ on ratio $L/E$. The first maximum of the CPV amplitude is situated at L/E $\approx$ 585 km/GeV and the second at L/E $\approx$ 1534 km/GeV. 2446895 300830 http://cds.cern.ch/record/2855605/files/near_det.png 00005 Schematic view of the \essnusb{} near detector hall. 2446896 13122 http://cds.cern.ch/record/2855605/files/WP4_NeutrinoFluxes_PositiveMode.png 00003 : Neutrino mode 2446897 77904 http://cds.cern.ch/record/2855605/files/matter_effects_plot.png 00001 $\nu_\mu \rightarrow \nu_e$ and $\overline{\nu}_\mu \rightarrow \overline{\nu}_e$ oscillation probabilities as a function of neutrino energy at the fixed distance of 360 km. The oscillation probabilities are shown for $\deltacp=0$ and $\deltacp=-\pi/2$. Full lines correspond to oscillations in vacuum and dashed lines to oscillations in matter. 2446898 353476 http://cds.cern.ch/record/2855605/files/ESSnuSB_layout.png 00002 Layout of the ESS accelerator including \essnusb{} modifications required for neutrino beam production and detection. The proposed modifications are show in color: the transfer line (blue), the accumulatior ring (red), the swithcyard (indigo), the neutrino target station (green), and the near detector hall (purple). Reprinted from~\cite{Alekou:2022emd, Alekou:2022emd_arXiv}. 2446899 23880097 http://cds.cern.ch/record/2855605/files/FD_technical_Fig_24.png 00006 Technical drawing of a single far detector cavern. Reprinted from \cite{Alekou:2022emd, Alekou:2022emd_arXiv}. 2446900 29035 http://cds.cern.ch/record/2855605/files/CP-sens-360-Norm.png 00010 CPV discovery potential as a function of true $\deltacp$ value, assuming the baseline of 360 km (Zinkgruvan mine) and run-time of 5 y in $\nu$ mode and 5 y in $\overline{\nu}$ mode. Different lines correspond to different normalization uncertainty assumptions. Reprinted from \cite{Alekou:2022emd, Alekou:2022emd_arXiv}. 2446901 10838 http://cds.cern.ch/record/2855605/files/Prec_360_Shape.png 00012 The expected 1~$\sigma$ precision for the measurement of the CPV parameter $\deltacp$ as a function of the true value of $\deltacp$, assuming the baseline of 360 km (Zinkgruvan mine) and run-time of 5 y in $\nu$ mode and 5 y in $\overline{\nu}$ mode. Different lines correspond to different bin-to-bin uncorrelated errors. A normalization error of 5\% is applied on top of the bin-to-bin error. Reprinted from \cite{Alekou:2022emd, Alekou:2022emd_arXiv}. 2446902 8920 http://cds.cern.ch/record/2855605/files/CP-Exposure2.png 00011 Coverage of the $\deltacp$ range for which the discovery potential is larger than 5~$\sigma$ as a function of run-time, assuming equal time in neutrino mode and antineutrino mode. 2446903 40863 http://cds.cern.ch/record/2855605/files/FD_diagonal_efficiency.png 00007 The efficiency to correctly select a neutrino flavor as a function of neutrino energy. Full lines correspond to different neutrino flavors. The dashed line is the efficiency of the fiducial cut. Reprinted from \cite{Alekou:2022emd, Alekou:2022emd_arXiv}. 2446904 12756 http://cds.cern.ch/record/2855605/files/WP4_NeutrinoFluxes_NegativeMode.png 00004 : Antineutrino mode 2446905 26991585 http://cds.cern.ch/record/2855605/files/2303.17356.pdf Fulltext 2469060 23538 http://cds.cern.ch/record/2855605/files/event_ap_nu_360.png 00008 : Neutrino mode 2469061 22448 http://cds.cern.ch/record/2855605/files/event_ap_anu_360.png 00009 : Antineutrino mode 2469265 3712349 http://cds.cern.ch/record/2855605/files/Publication.pdf Fulltext 2489091 2184933 http://cds.cern.ch/record/2855605/files/document.pdf Fulltext 13 ARTICLE 2859796 20240214125341.0 oai:cds.cern.ch:2859796 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI Springer 10.1140/epjp/s13360-023-04440-0 arXiv oai:arXiv.org:2304.10307 Inspire oai:inspirehep.net:2652992 2023-12-15T13:11:41Z 2023-12-16T03:15:19Z marcxml true https://inspirehep.net/api/oai2d Inspire 2652992 arXiv arXiv:2304.10307 physics.ins-det eng Bianchi, Antonio ORCID:0000-0003-0343-7497 antonio.bianchi@mi.infn.it antonio.bianchi@cern.ch GRID:grid.6045.7 GRID:grid.9132.9 CERN INFN, Milano, Italy CERN, Geneva, Switzerland Springer MATOQ: a Monte Carlo Simulation of Electron Transport in Environmental-friendly Gas Mixtures for Resistive Plate Chambers 2023-09-25 2023-04-20 15 p Springer The increasing interest in environmental-friendly gas mixtures for gaseous particle detectors, especially tetrafluoropropene-based gas mixtures for Resistive Plate Chambers (RPCs), has prompted in recent years the need for simulating electron transport coefficients and reaction rates in these mixtures. MATOQ is a Monte Carlo simulation program that calculates electron transport parameters, specifically designed for studying and optimizing environmental-friendly gas mixtures for RPCs. Unlike other existing codes, MATOQ allows for the simulation of electron avalanches by including the effect of space charge electric field, which can significantly impact the avalanche evolution in gaseous detectors such as RPCs. After the validation of the MATOQ simulation in the temporal and spatial growth configurations, we present the electron transport coefficients and the reaction rates in tetrafluoropropene-based gas mixtures, which may represent a valid alternative to the standard gas mixtures currently used for RPCs. arXiv The increasing interest in environmentally friendly gas mixtures for gaseous particle detectors, especially tetrafluoropropene-based gas mixtures for Resistive Plate Chambers (RPCs), has prompted the need for simulating electron transport coefficients and reaction rates in these mixtures in recent years. MATOQ is a Monte Carlo simulation program that calculates electron transport parameters, specifically designed for studying and optimizing environmental-friendly gas mixtures for RPCs. Unlike other existing codes, MATOQ allows for the simulation of electron avalanches by including the effect of space charge electric field, which can significantly impact the avalanche evolution in gaseous detectors such as RPCs. After the validation of the MATOQ simulation in the temporal and spatial growth configurations, we present the electron transport coefficients and the reaction rates in tetrafluoropropene-based gas mixtures, which may represent a valid alternative to the standard gas mixtures currently used for RPCs. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication CC-BY-4.0 Springer CERN-RP: Springer http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2023 L 2023-04-27 abs L 2023-04-30 printed arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques CERN ARTICLE 838 9 Eur. Phys. J. Plus 138 2023 2454848 1644500 http://cds.cern.ch/record/2859796/files/2304.10307.pdf Fulltext 2454849 25085 http://cds.cern.ch/record/2859796/files/plot8.png 00007 (a) Effective ionization Townsend coefficients $\alpha_{eff}$ as a function of $E/N$ in pure C$_{2}$H$_{2}$F$_{4}$, C$_{3}$H$_{2}$F$_{4}$, and in the C$_{3}$H$_{2}$F$_{4}$-based gas mixtures with 50\% and 60\% CO$_{2}$. (b) Ionization Townsend coefficient $\alpha$ and attachment Townsend coefficient $\eta$ as a function of $E/N$ in C$_{3}$H$_{2}$F$_{4}$-based gas mixtures with CO$_{2}$. Some statistical error bars are hidden by markers. 2454850 16384 http://cds.cern.ch/record/2859796/files/plot9.png 00008 Average avalanche size at the anode in an RPC with a gas gap of 0.1 mm ranging from 6 kV/mm to 15 kV/mm at 296.15 K and 970 mbar. The MATOQ simulation is conducted using a C$_{2}$H$_{2}$F$_{4}$-based gas mixture (black) and a C$_{3}$H$_{2}$F$_{4}$-based gas mixture (red), both with the addition of 5\% \textit{i}-C$_{4}$H$_{10}$ and 10\% SF$_{6}$. Simulations consider the space charge effects in the gas gap. Some statistical error bars are hidden by markers. 2454851 231082 http://cds.cern.ch/record/2859796/files/plot2.png 00001 Values of average electron energy $<\!\varepsilon\!>$ (a), drift velocity $v_{drift}$ (b), ionization coefficient $\nu_{ion}$ (c) and attachment coefficient $\nu_{att}$ (d) as a function of the reduced electric field $E/N$ in pure Ar, N$_{2}$, CO$_{2}$ and in the gas mixture of 50\% Ar and 50\% N$_{2}$. Some statistical error bars are hidden by markers. 2454852 102995 http://cds.cern.ch/record/2859796/files/plot3.png 00002 Values of ionization Townsend coefficient $\alpha$ (a) and attachment Townsend coefficient $\eta$ (b) as a function of the reduced electric field $E/N$ in pure Ar, N$_{2}$, CO$_{2}$ and in the gas mixture of 50\% Ar and 50\% N$_{2}$. Some statistical error bars are hidden by markers. 2454853 13477 http://cds.cern.ch/record/2859796/files/plot1.png 00000 Mean energy of 10$^{5}$ electrons as a function of the time in pure Ar at 150 Td. 2454854 87205 http://cds.cern.ch/record/2859796/files/plot6.png 00005 Avalanche sizes at the anode as a function of the electric field in a 0.1-mm single-gap RPC using a gas mixture of 85\% C$_{2}$H$_{2}$F$_{4}$, 5\% \textit{i}-C$_{4}$H$_{10}$ and 10\% SF$_{6}$ at 296.15 K and 970 mbar. Values of avalanche size obtained by the MATOQ simulation with and without considering the space charge effects are compared with the results of Lippmann et al.'s model, which takes into account those effects. Concerning the MATOQ results obtained by the simulation of space charge effects, the distribution of the avalanche sizes is represented by plotting the maximum and minimum value, the lower (25\%) and higher (75\%) quartile as well as the median and the mean value of the distribution. Data of the model are provided by Lippmann et al. in their paper \cite{lippmann2004space}. 2454855 18276 http://cds.cern.ch/record/2859796/files/plot7.png 00006 Values of average electron energy $<\!\varepsilon\!>$ (a) and drift velocity $v_{drift}$ (b) as a function of the reduced electric field $E/N$ in pure C$_{2}$H$_{2}$F$_{4}$, C$_{3}$H$_{2}$F$_{4}$, and in the C$_{3}$H$_{2}$F$_{4}$-based gas mixtures with 50\% or 60\% CO$_{2}$. Some statistical error bars are hidden by markers. 2454856 41386 http://cds.cern.ch/record/2859796/files/plot4.png 00003 Number of electrons in six avalanches as a function of time in a gas gap of 0.1 mm at 9 kV/mm and 13 kV/mm. The MATOQ simulation results are obtained in the gas mixture of 85\% C$_{2}$H$_{2}$F$_{4}$, 5\% \textit{i}-C$_{4}$H$_{10}$ and 10\% SF$_{6}$ at 296.15 K and 970 mbar. 2454857 256385 http://cds.cern.ch/record/2859796/files/plot5.png 00004 Number of electrons and ions as a function of the distance in the same avalanche at 14 kV/mm is shown at 0.15 ns (a) and 0.26 ns (b). Values of the space charge electric field are presented at 0.15 ns (c) and 0.26 ns (d) for the same avalanche. The MATOQ simulation is carried out in a 0.1-mm single-gap RPC using a gas mixture of 85\% C$_{2}$H$_{2}$F$_{4}$, 5\% \textit{i}-C$_{4}$H$_{10}$ and 10\% SF$_{6}$ at 296.15 K and 970 mbar. 2479541 2212292 http://cds.cern.ch/record/2859796/files/document.pdf Fulltext 13 ARTICLE 2857871 SzGeCERN 20240307151914.0 DOI MDPI 10.3390/s23063187 oai:cds.cern.ch:2857871 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2023-05-05T04:00:09Z marcxml oai:inspirehep.net:2653941 2023-05-04T11:30:35Z Inspire 2653941 eng Breglio, Giovanni Naples U. CERN European Organization for Nuclear Research (CERN), 1211 Geneva, Switzerland MDPI Innovative Photonic Sensors for Safety and Security, Part III: Environment, Agriculture and Soil Monitoring 2023 39 p MDPI In order to complete this set of three companion papers, in this last, we focus our attention on environmental monitoring by taking advantage of photonic technologies. After reporting on some configurations useful for high precision agriculture, we explore the problems connected with soil water content measurement and landslide early warning. Then, we concentrate on a new generation of seismic sensors useful in both terrestrial and under water contests. Finally, we discuss a number of optical fiber sensors for use in radiation environments. CC-BY-4.0 MDPI https://creativecommons.org/licenses/by/4.0/ Other publication the author 2023 SzGeCERN Detectors and Experimental Techniques author optical fiber sensors author fiber Bragg gratings author long period gratings author distributed sensing author soil monitoring author radiation sensors ARTICLE CERN Bernini, Romeo CNR IRPI, Perugia Berruti, Gaia Maria Sannio U. Bruno, Francesco Antonio Sannio U. Buontempo, Salvatore CERN INFN, Naples National Institute for Nuclear Physics (INFN), 80125 Napoli, Italy Campopiano, Stefania Naples U. Catalano, Ester Rome U., Tor Vergata INFN, Naples Optosensing Ltd., Via Carlo de Marco 69, 80137 Napoli, Italy Consales, Marco Sannio U. Coscetta, Agnese Rome U., Tor Vergata Cutolo, Antonello Naples U. Cutolo, Maria Alessandra Naples U. Di Palma, Pasquale Naples U. Esposito, Flavio Naples U. Fienga, Francesco Naples U. CERN European Organization for Nuclear Research (CERN), 1211 Geneva, Switzerland Giordano, Michele CNR IRPI, Perugia Iele, Antonio Sannio U. Iadicicco, Agostino Naples U. Irace, Andrea Naples U. Janneh, Mohammed Sannio U. Laudati, Armando INFN, Naples Leone, Marco Sannio U. Maresca, Luca Naples U. Marrazzo, Vincenzo Romano Naples U. CERN European Organization for Nuclear Research (CERN), 1211 Geneva, Switzerland Minardo, Aldo Rome U., Tor Vergata Pisco, Marco Sannio U. Quero, Giuseppe Sannio U. Riccio, Michele Naples U. Srivastava, Anubhav Naples U. Vaiano, Patrizio Sannio U. Zeni, Luigi Rome U., Tor Vergata INFN, Naples Optosensing Ltd., Via Carlo de Marco 69, 80137 Napoli, Italy Cusano, Andrea Sannio U. 3187 6 2023 Sensors 23 2451931 8800756 http://cds.cern.ch/record/2857871/files/document.pdf Fulltext 13 ARTICLE 2857759 20250515232438.0 oai:cds.cern.ch:2857759 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN CERN-THESIS-2023-046 eng 2884634 AUTHOR|(CDS)2799233 AUTHOR|(SzGeCERN)857295 Gomes, Andrea andrea.gomes@cern.ch Milan, Polytech. Characterisation and optimisation of a radiation detection system for the new Site Gate Monitors at CERN 132 p Presented 04 May 2023 Master Milan, Polytech. 2023 The goal of this thesis work is to describe the methods used and the tests performed in the framework of the renovation of the Site Gate Monitors (SGM) system at CERN, in particular concerning the radiation detection and signal processing. The SGM is a permanently-operating system for the detection of gamma emitters at CERN site exits, aiming to prevent their illicit removal. It monitors slowly-moving vehicles, targeting specific isotopes which are usually produced by CERN accelerators or used as standard laboratory sources. Their gamma radiation lies in an energy range between 50 keV and 3 MeV. The detectors should be sensitive to the energy range in which the sources of interest emit their gamma radiation. Individual isotope identification is not required. Short measuring time, high sensitivity and low false alarm rate are needed. Reliable discrimination of the targeted sources from naturally occuring radioactive materials (NORM) and medical isotopes, which should be recognized but not intercepted by the system, is required. Among the main constraints there are the variety of background conditions the detectors are exposed to due to natural and artificial radiation, the background suppression phenomenon and the presence of pulsed radiation due to CERN's accelerators complex operation. Energy windowing algorithms will be implemented to discriminate the targeted sources providing a rough energy information, to increase the sensitivity of the system in presence of background suppression and to reduce the one to background variations due to environmental influences. Since the radiation fields produced by the accelerators can be non uniform in time, pulsed radiation rejection is a requirement at CERN, which will be faced via custom-made filters, whose parameters have to be adjusted according to the specific detector location. CERN Technical Student Program CERN EDS SzGeCERN Health Physics and Radiation Effects CERN THESIS Not applicable Not applicable Not applicable Caresana, Marco dir. Milan, Polytech. Widorski, Markus dir. CERN HSE 2451558 44078789 http://cds.cern.ch/record/2857759/files/CERN-THESIS-2023-046.pdf markus.widorski@cern.ch n 202318 a2023 14 PUBLIC https://repository.cern/legacy/record/2857759 THESIS MIGRATED 2862118 SzGeCERN 20230616212424.0 DOI OSA Publishing 10.1364/AO.487264 oai:cds.cern.ch:2862118 cerncds:CERN https://inspirehep.net/api/oai2d 2023-06-16T04:55:49Z marcxml oai:inspirehep.net:2667895 2023-06-15T12:37:34Z Inspire 2667895 eng Neves, Tiago F P CERN Ecole Polytechnique, Lausanne EPFL - Swiss Federal Institute of Technology, Group for Fibre Optics, SCI-STI-LT Station 11, 1015 Lausanne, Switzerland OSA Publishing Humidity-insensitive optical fibers for distributed sensing applications 2023 13 p OSA Publishing Humidity is a critical environmental factor in various applications, and its temperature dependence must be considered when developing thermo-hygrometer fiber sensors. The optical fibers that constitute the sensor must have a temperature reference, which should be resistant to humidity to avoid cross-sensitivities. This paper presents two innovative optical fibers insensitive to humidity over temperatures ranging from −20∘C to 55°C. To the best of our knowledge, the novel standard size optical fibers coated with acrylate and silicone are tested under controlled conditions using an optical time-domain reflectometer sensor based on Rayleigh scattering. The sensor achieves meter-range resolution over kilometers of length with a response time of few minutes. Optica Open Access Publishing Agreement https://doi.org/10.1364/OA_License_v2#VOR-OA Optica Publishing Group 2023 SzGeCERN Detectors and Experimental Techniques author Fiber optic cables author Fiber optic sensors author Optical coatings author Optical standards author Raman scattering author Rayleigh scattering ARTICLE CERN Scherino, Lorenzo CERN Bernard, Rémy PhLAM, Villeneuve d'Ascq Bouet, Monika PhLAM, Villeneuve d'Ascq Pastre, Aymeric PhLAM, Villeneuve d'Ascq Magalhães, Regina Alcala de Henares U. Martin-Lopez, Sonia Alcala de Henares U. Martins, Hugo F Madrid, Inst. Estructura Materia Petagna, Paolo CERN Thévenaz, Luc Ecole Polytechnique, Lausanne 4017-4029 15 2023 Appl. Opt. 62 13 ARTICLE 2862114 SzGeCERN 20240925141241.0 DOI Springer 10.1038/s41467-023-39066-4 oai:cds.cern.ch:2862114 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2667886 2023-06-15T12:25:33Z 2023-06-16T04:55:49Z marcxml Inspire 2667886 eng Nie, Wei Nanjing U. (main) Unlisted, CN Helsinki U. SYRTE, Paris National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta, Nanjing, Jiangsu Province, China. These authors contributed equally: Wei Nie, Chao Yan. Springer NO at low concentration can enhance the formation of highly oxygenated biogenic molecules in the atmosphere 2023 11 p Springer The interaction between nitrogen monoxide (NO) and organic peroxy radicals (RO$_{2}$) greatly impacts the formation of highly oxygenated organic molecules (HOM), the key precursors of secondary organic aerosols. It has been thought that HOM production can be significantly suppressed by NO even at low concentrations. Here, we perform dedicated experiments focusing on HOM formation from monoterpenes at low NO concentrations (0 – 82 pptv). We demonstrate that such low NO can enhance HOM production by modulating the RO$_{2}$ loss and favoring the formation of alkoxy radicals that can continue to autoxidize through isomerization. These insights suggest that HOM yields from typical boreal forest emissions can vary between 2.5%-6.5%, and HOM formation will not be completely inhibited even at high NO concentrations. Our findings challenge the notion that NO monotonically reduces HOM yields by extending the knowledge of RO$_{2}$-NO interactions to the low-NO regime. This represents a major advance towards an accurate assessment of HOM budgets, especially in low-NO environments, which prevails in the pre-industrial atmosphere, pristine areas, and the upper boundary layer. Publication CC-BY-4.0 Springer Other http://creativecommons.org/licenses/by/4.0/ Publication The Author(s) 2023 SzGeCERN Physics in General ARTICLE CERN Yan, Chao Nanjing U. (main) Unlisted, CN Helsinki U. SYRTE, Paris National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta, Nanjing, Jiangsu Province, China. These authors contributed equally: Wei Nie, Chao Yan. Yang, Liwen Nanjing U. (main) Roldin, Pontus Khlopin Radium Inst. Malmo U. IVL, Swedish Environmental Research Institute, SE-211 19 Malmö, Sweden. Liu, Yuliang Nanjing U. (main) Vogel, Alexander L Frankfurt U., FIAS Frankfurt U. Molteni, Ugo PSI, Villigen UC, Irvine (main) Unlisted, US Department of Chemistry, University of California, Irvine, CA 92697, USA. Stolzenburg, Dominik Helsinki U. Vienna U. Faculty of Physics, University of Vienna, Boltzmanngasse 5, 1090 Vienna, Austria. Finkenzeller, Henning Colorado U. Amorim, Antonio CMAF, Lisbon Bianchi, Federico Helsinki U. Curtius, Joachim Frankfurt U., FIAS Frankfurt U. Dada, Lubna Helsinki U. PSI, Villigen Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland. Draper, Danielle C UC, Irvine (main) Caltech Present address: Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125, USA. Duplissy, Jonathan Helsinki U. Jyvaskyla U. Helsinki Institute of Physics (HIP)/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland. Hansel, Armin Innsbruck U. He, Xu-Cheng Helsinki U. Hofbauer, Victoria Carnegie Mellon U. Jokinen, Tuija Helsinki U. Cyprus Inst. Climate & Atmosphere Research Centre (CARE-C), The Cyprus Institute, P.O. Box 27456 Nicosia CY-1645, Cyprus. Kim, Changhyuk Pusan Natl. U. Caltech Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA. Lehtipalo, Katrianne Helsinki U. Helsinki Inst. of Phys. Finnish Meteorological Institute, Erik Palménin aukio 1, 00560 Helsinki, Finland. Nichman, Leonid CRPP, Ottawa Mauldin, Roy L Carnegie Mellon U. U. Colorado, Boulder Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, CO, USA. Makhmutov, Vladimir Lebedev Inst. Moscow, MIPT Moscow Institute of Physics and Technology (National Research University), 1A Kerchenskaya st., Moscow, Russian Federation. Mentler, Bernhard Innsbruck U., Inst. Astrophys. Mizelli-Ojdanic, Andrea Vienna U. Vienna, Tech. U. Faculty of Industrial Engineering, FH Technikum Wien - University of Applied Sciences, 1200 Vienna, Austria. Petäjä, Tuukka Helsinki U. Quéléver, Lauriane L J Helsinki U. Schallhart, Simon Helsinki U. Helsinki Inst. of Phys. Finnish Meteorological Institute, Erik Palménin aukio 1, 00560 Helsinki, Finland. Simon, Mario Frankfurt U., FIAS Frankfurt U. Tauber, Christian Vienna U. Tomé, António UBI, Covilha Volkamer, Rainer Colorado U. Wagner, Andrea C Frankfurt U., FIAS Frankfurt U. Colorado U. Present address: Department of Chemistry & CIRES, University of Colorado Boulder, Boulder, CO 80309, USA. Wagner, Robert Helsinki U. Wang, Mingyi Caltech Ye, Penglin Fudan U. Fudan U., Surf. Phys. Lab. Li, Haiyan Harbin Inst. Tech. Huang, Wei Helsinki U. Qi, Ximeng Nanjing U. (main) Unlisted, CN National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta, Nanjing, Jiangsu Province, China. Lou, Sijia Nanjing U. (main) Liu, Tengyu Nanjing U. (main) Unlisted, CN National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta, Nanjing, Jiangsu Province, China. Chi, Xuguang Nanjing U. (main) Unlisted, CN National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta, Nanjing, Jiangsu Province, China. Dommen, Josef PSI, Villigen Baltensperger, Urs PSI, Villigen Haddad, Imad El PSI, Villigen Kirkby, Jasper CERN Worsnop, Douglas Helsinki U. Xonics Inc. Aerodyne Research Inc., Billerica, MA 01821, USA. Kulmala, Markku Nanjing U. (main) Helsinki U. Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland. Donahue, Neil M Carnegie Mellon U. Ehn, Mikael Helsinki U. Ding, Aijun Nanjing U. (main) Unlisted, CN National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta, Nanjing, Jiangsu Province, China. 3347 1 Nature Commun. 14 2023 2458549 1559675 http://cds.cern.ch/record/2862114/files/document.pdf Fulltext 13 ARTICLE 2862107 SzGeCERN 20240925105823.0 DOI IOP 10.1088/1748-0221/18/06/P06008 oai:cds.cern.ch:2862107 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2667896 2023-06-15T18:30:07Z 2023-06-16T04:55:49Z marcxml Inspire 2667896 eng Firlej, Mirosław firlej@agh.edu.pl AGH-UST, Cracow IOP An lpGBT subsystem for environmental monitoring of experiments 2023 17 p IOP In this paper, the Low Power Giga Bit Transceiver (lpGBT)built-in system for environmental monitoring of the LHC experimentsis presented. Eight external analogue inputs and eight internalvoltages are multiplexed into an instrumentation amplifier withselectable gain, whose output is digitised by a 10-bit SAR ADC. Aprogrammable current source can be enabled for each external inputto implement resistance measurements. Internal channels are used tomonitor power supplies and the output of the temperature sensor. Theenvironmental monitoring system includes a precise 1 V referencevoltage source and a 10-bit voltage DAC. All blocks were designedand fabricated in 65 nm CMOS technology, fully characterised, andthe pre- and post-irradiation measurement results are presented inthis work. Publication CC-BY-4.0 IOP Other http://creativecommons.org/licenses/by/4.0/ Publication CERN 2023 SzGeCERN Detectors and Experimental Techniques author Detector control systems (detector and experiment monitoring and slow-control systems author architecture author hardware author algorithms author databases) author Radiation damage to electronic components author Radiation-hard electronics author VLSI circuits ARTICLE CERN Fiutowski, Tomasz AGH-UST, Cracow Fonseca, José CERN Idzik, Marek AGH-UST, Cracow Kulis, Szymon CERN Moreira, Paulo CERN Moroń, Jakub AGH-UST, Cracow Świentek, Krzysztof AGH-UST, Cracow lpGBT Collaboration P06008 06 JINST 18 2023 2458546 3363913 http://cds.cern.ch/record/2862107/files/document.pdf Fulltext 13 ARTICLE 2861714 20231205102108.0 oai:cds.cern.ch:2861714 cerncds:FULLTEXT CERN-Brochure-2023-004-Eng eng Cirilli, Manuela AUTHOR|(CDS)2070236 AUTHOR|(SzGeCERN)382659 CERN Manuela.Cirilli@cern.ch Lapka, Marzena AUTHOR|(CDS)2108466 AUTHOR|(SzGeCERN)633303 CERN marzena.lapka@cern.ch Dixon-Altaber, Helen AUTHOR|(CDS)2108396 AUTHOR|(SzGeCERN)489471 CERN helen.dixon-altaber@cern.ch Impact of CERN Technologies: from fundamental research to our everyday lives com.kt@cern.ch 28 p This brochure showcases the many applications of CERN technologies used in our everyday lives. Particle-physics research and CERN’s unique environment provide a fertile ground for innovations related to particle accelerators, detectors and computing which can benefit society at large, in sometimes surprising ways. In this brochure, the most significant examples of this phenomena are explored, from the fields of healthcare, environmental protection and monitoring, aerospace, safety and cultural heritage. We also explain how CERN-developed open-source digital technologies can be used for global challenges. CERN EDS 2023 Geneva CERN 13 Jun 2023 Knowledge transfer CERNKT Knowledge & Technology Transfer CERN Impact Society Medical Applications CERNOFFICIALPRESSBROCHURE IPT 101 http://cds.cern.ch/record/2861714/files/ icon http://cds.cern.ch/record/2861714/files/CERN-Brochure-2023-004-Eng.pdf Access to files 2457712 39257720 2457712 169284 http://cds.cern.ch/record/2861714/files/CERN-Brochure-2023-004-Eng.jpg?subformat=icon-640 icon-640 Access to files 2457712 191374 http://cds.cern.ch/record/2861714/files/CERN-Brochure-2023-004-Eng.jpg?subformat=icon-700 icon-700 Access to files 2457712 19731 http://cds.cern.ch/record/2861714/files/CERN-Brochure-2023-004-Eng.gif?subformat=icon icon Access to files 2457712 278139 http://cds.cern.ch/record/2861714/files/CERN-Brochure-2023-004-Eng.jpg?subformat=icon-1440 icon-1440 Access to files 2457712 51582 http://cds.cern.ch/record/2861714/files/CERN-Brochure-2023-004-Eng.jpg?subformat=icon-180 icon-180 Access to files marzena.lapka@cern.ch BROCHURE 2861429 SzGeCERN 20230609165754.0 PRESS CUTTING 17 13 Sep 2022 Physics World 2022 CERN Depot 3, bldg. 2 (DE3) PRESSCUT-H-2022-313 CUTTING CERN’s proposed 100 km-circumference ‘Higgs factory’ has lower environmental impact than competing designs, finds study 2022 paper SzGeCERN Allen, Michael h 202323 PRESSCUT-H-2022-313 eng 2861339 SzGeCERN 20230609220811.0 DOI IOP 10.1088/1742-6596/2374/1/012037 oai:cds.cern.ch:2861339 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN HAL hal-03894737 https://inspirehep.net/api/oai2d 2023-06-09T04:00:09Z marcxml oai:inspirehep.net:2612061 2023-06-08T08:45:26Z Inspire 2612061 eng Glöggler, L T lisa.gloggler@cern.ch CERN Berlin, Tech. U. Department of Physics, Technical University Berlin, Hardenbergstr. 36, 10623 Berlin, Germany IOP Development of a detector for inertial sensing of positronium at AEḡIS (CERN) 2022 4 p IOP The primary goal of the AEgIS collaboration at CERN is to measure the gravitational acceleration on neutral antimatter. Positronium (Ps), the bound state of an electron and a positron, is a suitable candidate for a force-sensitive inertial measurement by means of deflectometry/interferometry. In order to conduct such an experiment, the impact position and time of arrival of Ps atoms at the detector must be detected simultaneously. The detection of a low-velocity Ps beam with a spatial resolution of (88 ± 5) μm was previously demonstrated [1]. Based on the methodology employed in [1] and [2], a hybrid imaging/timing detector with increased spatial resolution of about 10 μm was developed. The performance of a prototype was tested with a positron beam. The concept of the detector and first results are presented. CC-BY-3.0 IOP http://creativecommons.org/licenses/by/3.0/ SzGeCERN Detectors and Experimental Techniques ARTICLE CERN CERN AEgIS Caravita, R ruggero.caravita@cern.ch TIFPA-INFN, Trento Bergmann, B IEAP CTU, Prague Bonomi, G Brescia U. INFN, Brescia INFN, Pavia INFN Pavia, via Bassi 6, 27100 Pavia, Italy Brusa, R S TIFPA-INFN, Trento Trento U. Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy Burian, P IEAP CTU, Prague Camper, A Oslo U. Castelli, F Milan U. Cheinet, P LAC, Orsay Comparat, D LAC, Orsay Consolati, G Milan Polytechnic INFN, Milan INFN Milano, via Celoria 16, 20133, Milano, Italy Doser, M CERN Gjersdal, H Oslo U. Graczykowski, Ł Warsaw U. of Tech. Guatieri, F Trento U. Haider, S CERN Huck, S CERN U. Hamburg, Dept. Phys. Department of Physics, University of Hamburg, Jungiusstraße 9, 20355 Hamburg, Germany Janik, M Warsaw U. of Tech. Kasprowicz, G INFN, Milan Khatri, G CERN Trento U. Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy Kornakov, G INFN, Milan Malbrunot, C CERN Mariazzi, S TIFPA-INFN, Trento Trento U. Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy Nebbia, G INFN, Padua Nowak, L CERN Nowicka, D Warsaw U. of Tech. Oswald, E CERN Pagano, D Brescia U. INFN, Brescia INFN, Pavia INFN Pavia, via Bassi 6, 27100 Pavia, Italy Penasa, L TIFPA-INFN, Trento Trento U. Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy Pospisil, S IEAP CTU, Prague Povolo, L TIFPA-INFN, Trento Trento U. Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy Prelz, F INFN, Milan Rienäcker, B CERN Røhne, O M Oslo U. Sandaker, H Oslo U. Stekl, I IEAP CTU, Prague Tefelski, D Warsaw U. of Tech. Tietje, I C CERN Volponi, M CERN Trento U. Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy Wolz, T CERN Zimmer, C CERN Oslo U. Milan Polytechnic Heidelberg U. Department of Physics, University of Oslo, Sem Sælands vei 24, 0371 Oslo, Norway Department of Physics, Heidelberg University, Im Neuenheimer Feld 226, 69120 Heidelberg, Germany Zurlo, N Brescia U. INFN, Brescia Department of Civil, Environmental, Architectural Engineering and Mathematics, University of Brescia, via Branze 43, 25123 Brescia, Italy AEgIS Collaboration 012037 1 C21-05-24.4 2022 J. Phys. : Conf. Ser. 2374 2457315 394581 http://cds.cern.ch/record/2861339/files/document.pdf Fulltext 13 2765764 online20210524a 012037 ARTICLE ConferencePaper 2861327 SzGeCERN 20230609220810.0 DOI IOP 10.1088/1742-6596/2374/1/012152 oai:cds.cern.ch:2861327 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2023-06-09T04:00:08Z marcxml oai:inspirehep.net:2613711 2023-06-08T09:10:55Z Inspire 2613711 eng Ripoli, C Salerno U. INFN, Salerno INFN Gruppo Collegato di Salerno, Salerno, Italy IOP Reduction of Greenhouse Gases impact in the EEE Project 2022 4 p IOP The whole Extreme Energy Events (EEE) array is composed of 61 telescopes installed in Italian High Schools, built and operated by students and teachers, constantly supervised by researchers. The muon telescope of the EEE Project is made by 3 Multigap Resistive Plate Chambers (MRPC). The unconventional working sites are a unique test field for checking the robustness and the low-ageing features of the MRPC technology for particle tracking and timing purposes. The MRPCs are fluxed with a standard mixture (98% C$_{2}$H$_{2}$F$_{4}$ - 2% SF$_{6}$) of greenhouse gases (GHG) phasing out of production. The EEE Collaboration is currently studying alternative mixtures environmentally and economically sustainable. The EEE Collaboration actions to reduce the Global Warming Potential (GWP) in the MRPC array of the EEE experiment are progressing. CC-BY-3.0 IOP http://creativecommons.org/licenses/by/3.0/ SzGeCERN Detectors and Experimental Techniques ARTICLE CERN EEE Abbrescia, M Bari U. INFN, Bari INFN Sezione di Bari, Bari, Italy Avanzini, C INFN, Pisa Baldini, L INFN, Pisa Pisa U. Dipartimento di Fisica, Università di Pisa, Pisa, Italy Ferroli, R Baldini Frascati Batignani, G INFN, Pisa Pisa U. Dipartimento di Fisica, Università di Pisa, Pisa, Italy Battaglieri, M INFN, Genoa Jefferson Lab Thomas Jefferson National Accelerator Facility, Newport News, VA, USA Boi, S Cagliari U. INFN, Cagliari INFN Sezione di Cagliari, Cagliari, Italy Bossini, E INFN, Pisa Pisa U. Dipartimento di Fisica, Università di Pisa, Pisa, Italy Carnesecchi, F INFN, Bologna U. Bologna, DIFA Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna, Italy Cicalò, C INFN, Cagliari Cifarelli, L INFN, Bologna U. Bologna, DIFA Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna, Italy Coccetti, F Enrico Fermi Ctr., Rome Coccia, E GSSI, Aquila Corvaglia, A INFN, Lecce De Gruttola, D Salerno U. INFN, Salerno INFN Gruppo Collegato di Salerno, Salerno, Italy De Pasquale, S Salerno U. INFN, Salerno INFN Gruppo Collegato di Salerno, Salerno, Italy Fabbri, F Frascati Fulci, A Messina U. Galante, L Turin Polytechnic Turin U. INFN, Turin INFN Sezione di Torino, Turin, Italy Garbini, M Enrico Fermi Ctr., Rome INFN, Bologna INFN Sezione di Bologna, Bologna, Italy Gemme, G INFN, Genoa Gnesi, I Enrico Fermi Ctr., Rome Calabria U. INFN, Cosenza INFN Gruppo Collegato di Cosenza, Cosenza, Italy Grazzi, S INFN, Genoa Messina U. Dipartimento di Scienze Matematiche e Informatiche, Scienze Fisiche e Scienze della Terra, Università di Messina, Messina, Italy Hatzifotiadou, D INFN, Bologna CERN CERN, Geneva, Switzerland La Rocca, P Catania U. Messina U. INFN, Catania INFN Sezione di Catania, Catania, Italy Liu, Z World Lab., Geneva Mandaglio, G Messina U. INFN, Catania INFN Sezione di Catania, Catania, Italy Maron, G INFN, CNAF Mazziotta, M N INFN, Bari Mulliri, A Cagliari U. INFN, Cagliari INFN Sezione di Cagliari, Cagliari, Italy Nania, R INFN, Bologna Noferini, F INFN, Bologna Nozzoli, F TIFPA-INFN, Trento Palmonari, F INFN, Bologna U. Bologna, DIFA Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna, Italy Panareo, M INFN, Lecce Salento U. Dipartimento di Matematica e Fisica, Università del Salento, Lecce, Italy Panetta, M P Enrico Fermi Ctr., Rome INFN, Lecce INFN Sezione di Lecce, Lecce, Italy Paoletti, R INFN, Pisa Messina U. Dipartimento di Scienze Fisiche, della Terra e dell’Ambiente, Università di Siena, Siena, Italy Pellegrino, C INFN, CNAF Pinazza, O INFN, Bologna Pinto, C Catania U. Messina U. INFN, Catania INFN Sezione di Catania, Catania, Italy Pisano, S Enrico Fermi Ctr., Rome Frascati INFN Laboratori Nazionali di Frascati, Frascati (Rome), Italy Riggi, F Catania U. Messina U. INFN, Catania INFN Sezione di Catania, Catania, Italy Righini, G Florence U. INFN, Florence Rizzi, M INFN, Bari Sartorelli, G INFN, Bologna U. Bologna, DIFA Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna, Italy Scapparone, E INFN, Bologna Schioppa, M Calabria U. INFN, Cosenza Dipartimento di Fisica, Università della Calabria, Rende (Cosenza), Italy Scribano, A Messina U. Selvi, M INFN, Bologna Serri, G Cagliari U. INFN, Cagliari INFN Sezione di Cagliari, Cagliari, Italy Squarcia, S INFN, Genoa Genoa U. Dipartimento di Fisica, Università di Genova, Genoa, Italy Taiuti, M INFN, Genoa Genoa U. Dipartimento di Fisica, Università di Genova, Genoa, Italy Terreni, G INFN, Pisa Trifirò, A Messina U. INFN, Catania INFN Sezione di Catania, Catania, Italy Trimarchi, M Messina U. INFN, Catania INFN Sezione di Catania, Catania, Italy Triolo, A S Messina U. Vistoli, C INFN, CNAF Votano, L Gran Sasso Ungaro, M Jefferson Lab Williams, M C S INFN, Bologna World Lab., Geneva ICSC World laboratory, Geneva, Switzerland Zichichi, A INFN, Bologna CERN U. Bologna, DIFA CERN, Geneva, Switzerland Zuyeuski, R World Lab., Geneva 012152 1 C21-05-24.4 2022 J. Phys. : Conf. Ser. 2374 2457307 1070511 http://cds.cern.ch/record/2861327/files/document.pdf Fulltext 13 2765764 online20210524a 012152 ARTICLE ConferencePaper 2861065 20260321042009.0 oai:cds.cern.ch:2861065 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI arXiv 10.1088/1748-0221/20/03/P03012 publication arXiv oai:arXiv.org:2306.02837 oai:inspirehep.net:2665743 https://inspirehep.net/api/oai2d Inspire 2026-03-20T12:09:06Z 2026-03-21T03:00:09Z marcxml true Inspire 2665743 arXiv arXiv:2306.02837 physics.soc-ph eng Banerjee, Shankha ORCID:0000-0002-6493-7295 CERN CERN, Switzerland Institute of Mathematical Sciences, Chennai, India IOP Environmental sustainability in basic research. A perspective from HECAP+ 2025-03-11 2023-06-05 158 p arXiv 158 pages, 21 figures; comments welcome. Revisions included in Version 2.0 are detailed on page 3 of the pdf. If you would like to endorse this document please visit: https://sustainable-hecap-plus.github.io/. An HTML version of this document is available at: https://sustainable-hecap-plus.github.io/ IOP The climate crisis and the degradation of the world'secosystems require humanity to take immediate action. Theinternational scientific community has a responsibility to limit thenegative environmental impacts of basic research. The HECAP+communities (High Energy Physics, Cosmology, AstroparticlePhysics, and Hadron and Nuclear Physics) make use of common andsimilar experimental infrastructure, such as accelerators andobservatories, and rely similarly on the processing of big data. Ourcommunities therefore face similar challenges to improving thesustainability of our research. This document aims to reflect on theenvironmental impacts of our work practices and researchinfrastructure, to highlight best practice, to make recommendationsfor positive changes, and to identify the opportunities andchallenges that such changes present for wider aspects of socialresponsibility. arXiv The climate crisis and the degradation of the world's ecosystems require humanity to take immediate action. The international scientific community has a responsibility to limit the negative environmental impacts of basic research. The HECAP+ communities (High Energy Physics, Cosmology, Astroparticle Physics, and Hadron and Nuclear Physics) make use of common and similar experimental infrastructure, such as accelerators and observatories, and rely similarly on the processing of big data. Our communities therefore face similar challenges to improving the sustainability of our research. This document aims to reflect on the environmental impacts of our work practices and research infrastructure, to highlight best practice, to make recommendations for positive changes, and to identify the opportunities and challenges that such changes present for wider aspects of social responsibility. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication CC-BY-4.0 IOP Other http://creativecommons.org/licenses/by/4.0/ publication The author(s) 2025 arXiv nucl-ex SzGeCERN Nuclear Physics - Experiment arXiv hep-ph SzGeCERN Particle Physics - Phenomenology arXiv gr-qc SzGeCERN General Relativity and Cosmology arXiv astro-ph.CO SzGeCERN Astrophysics and Astronomy arXiv physics.soc-ph SzGeCERN Other Fields of Physics CERN ARTICLE Chen, Thomas Y. ORCID:0000-0002-0294-3614 Columbia U. Department of Computer Science, Columbia University, U.S.A. David, Claire ORCID:0000-0002-1794-1443 Fermilab York University, ON, Canada Fermi National Accelerator Laboratory, IL, U.S.A. AIMS, South Africa Düren, Michael ORCID:0000-0002-6066-4744 U. Giessen, II. Phys. Inst. Center for International Development and Environmental Research, Justus Liebig University Giessen, Gießen, Germany Erbin, Harold ORCID:0000-0002-9096-0659 IAIFI, Cambridge LIST, Saclay Université Paris-Saclay, CEA, CNRS, Institut de physique théorique, 91191 Gif-sur-Yvette, France Center for Theoretical Physics, Massachusetts Institute of Technology Cambridge, MA 02139, U.S.A. NSF AI Institute for Artificial Intelligence and Fundamental Interactions Ghiglieri, Jacopo ORCID:0000-0003-4176-857X SUBATECH, Nantes SUBATECH, Nantes Université, IMT Atlantique, IN2P3/CNRS, 4 rue Alfred Kastler, La Chantrerie BP 20722, 44307 Nantes, France Gill, Mandeep S.S. ORCID:0000-0003-2524-5154 KIPAC, Menlo Park SLAC Fermi National Accelerator Laboratory, IL, U.S.A. Minnesota Institute for Astrophysics, University of Minnesota, Minneapolis, MN 55455, U.S.A. Glaser, L. ORCID:0000-0002-6241-9478 U. Vienna (main) University of Vienna, Boltzmanngasse 5, 1090 Vienna, Austria Gütschow, Christian ORCID:0000-0003-0857-794X University Coll. London Department of Physics and Astronomy, University College London, Gower Street, WC1E 6BT, London, United Kingdom Hall, Jack Joseph ORCID:0000-0002-8304-9170 Sheffield U. University of Leeds, Woodhouse Lane Leeds, West Yorkshire, LS2 9JT, United Kingdom Hampp, Johannes ORCID:0000-0002-1776-116X Giessen U. Center for International Development and Environmental Research, Justus Liebig University Giessen, Gießen, Germany Koppenburg, Patrick ORCID:0000-0001-8614-7203 NIKHEF, Amsterdam Nikhef, National Institute for Subatomic Physics, Amsterdam, Netherlands Koschnitzke, Matthias ORCID:0009-0002-3627-7194 DESY Deutsches Elektronen-Synchrotron DESY, Notkestr. 85, 22607 Hamburg, Germany II. Institut für Theoretische Physik, Universität Hamburg, Luruper Chaussee 149, 22761 Hamburg, Germany Lohwasser, Kristin ORCID:0000-0003-1833-9160 Sheffield U. School of Mathematical and Physical Science, Physics and Astronomy, University of Sheffield, Hounsfield Road, Sheffield S3 7RH, United Kingdom Mahbubani, Rakhi ORCID:0000-0001-6311-4310 Boskovic Inst., Zagreb Division of Theoretical Physics, Rudjer Boskovic Institute, Bijenicka cesta 54, 10000 Zagreb, Croatia Mehta, Viraf Gottingen U. Institut für Astrophysik, Georg-August Universit ät, Friedrich-Hund-Platz 1, Göttingen, Germany Millington, Peter ORCID:0000-0001-6942-8257 Manchester U. Department of Physics and Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom Paul, Ayan ORCID:0000-0002-2156-4062 DESY The Institute of Experiential AI, Northeastern University, 360 Huntington Ave., Boston MA 02115, U.S.A. Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, 188 Longwood Ave., Boston MA 02115, U.S.A. Poblotzki, Frauke ORCID:0000-0002-8350-4954 DESY Deutsches Elektronen-Synchrotron DESY, Notkestr. 85, 22607 Hamburg, Germany Potamianos, Karolos ORCID:0000-0001-7839-9785 Warwick U. Department of Physics, University of Warwick, Coventry CV4 7AL, United Kingdom Šarčević, Nikolina ORCID:0000-0001-7301-6415 Newcastle U., United Kingdom School of Mathematics, Statistics and Physics, Newcastle University, United Kingdom Shastri, Prajval ORCID:0000-0002-4984-9641 Raman Research Institute, C.V. Raman Avenue, Bengaluru 560080, India Singh, Rajeev ORCID:0000-0001-5855-4039 SUNY, Stony Brook Center for Nuclear Theory, Department of Physics and Astronomy, Stony Brook University, Stony Brook, New York, 11794-3800, U.S.A. Wakeling, Hannah ORCID:0000-0003-4606-7895 JAI, UK John Adams Institute for Accelerator Science, Department of Physics, University of Oxford, Keble Road, Oxford OX1 3RH, United Kingdom ISIS Neutron and Muon Source, Rutherford Appleton Laboratory, Fermi Avenue, Didcot OX11 0QX, United Kingdom Walker, Rodney ORCID:0000-0001-8535-4809 LMU Munich (main) Fakultät für Physik, Ludwig-Maximilians-Universität München, München, Germany van der Wild, Matthijs ORCID:0000-0002-3949-3063 Durham U. Centre for Extragalactic Astronomy, Department of Physics, Durham University, Durham DH1 3LE, United Kingdom Zurita, Pia ORCID:0000-0002-2756-9550 Madrid U. Departamento de Física Teórica and IPARCOS, Universidad Complutense de Madrid, E-28040 Madrid, Spain Sustainable HECAP+ Initiative Collaboration P03012 publication JINST 20 JINST 20 (2025) P03012 2025 https://lss.fnal.gov/archive/test-fn/1000/fermilab-fn-1230-v.pdf Fermilab Library Server 2456946 136807 http://cds.cern.ch/record/2861065/files/SDG_17_PartnershipForGoals.png 00006 Sections/Figs/Common/SDG_17_PartnershipForGoals.pngSections/Figs/Common/SDG_16_PeaceJusticeStrongInstitutions.pngSections/Figs/Common/SDG_13_ClimateAction.pngSections/Figs/Common/SDG_12_ResponsibleConsumption.pngSections/Figs/Common/SDG_11_SustainableCities.pngSections/Figs/Common/SDG_9_IndustryInnovation.pngSections/Figs/Common/SDG_7_CleanEnergy.png 2456947 101737 http://cds.cern.ch/record/2861065/files/SDG_11_SustainableCities.png 00002 Sections/Figs/Common/SDG_17_PartnershipForGoals.pngSections/Figs/Common/SDG_16_PeaceJusticeStrongInstitutions.pngSections/Figs/Common/SDG_13_ClimateAction.pngSections/Figs/Common/SDG_12_ResponsibleConsumption.pngSections/Figs/Common/SDG_11_SustainableCities.pngSections/Figs/Common/SDG_9_IndustryInnovation.pngSections/Figs/Common/SDG_7_CleanEnergy.png 2456948 64652 http://cds.cern.ch/record/2861065/files/EWaste-1.png 00023 The generation of global E-waste in 2019. About 83\% of E-waste goes undocumented, highlighting the importance of its re-use and recycling. Figure reused from Ref.~\cite{Forti2020} under the terms of the \href{https://creativecommons.org/licenses/by-nc-sa/3.0/igo/}{Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC-SA 3.0 IGO) license}. 2456949 59984 http://cds.cern.ch/record/2861065/files/GlobalEmissions.png 00018 Distribution of 2016 global GHG emissions by sector, compared with CERN emissions for 2019, during LHC shutdown. Data are taken from Ref.~\cite{owidco2andothergreenhousegasemissions} and CERN Environmental Reports~\cite{Environment:2737239,CERN:2723123,Hartley}. 2456950 121540 http://cds.cern.ch/record/2861065/files/SDG_7_CleanEnergy.png 00000 Sections/Figs/Common/SDG_17_PartnershipForGoals.pngSections/Figs/Common/SDG_16_PeaceJusticeStrongInstitutions.pngSections/Figs/Common/SDG_13_ClimateAction.pngSections/Figs/Common/SDG_12_ResponsibleConsumption.pngSections/Figs/Common/SDG_11_SustainableCities.pngSections/Figs/Common/SDG_9_IndustryInnovation.pngSections/Figs/Common/SDG_7_CleanEnergy.png 2456951 145013 http://cds.cern.ch/record/2861065/files/SDG_9_IndustryInnovation.png 00001 Sections/Figs/Common/SDG_17_PartnershipForGoals.pngSections/Figs/Common/SDG_16_PeaceJusticeStrongInstitutions.pngSections/Figs/Common/SDG_13_ClimateAction.pngSections/Figs/Common/SDG_12_ResponsibleConsumption.pngSections/Figs/Common/SDG_11_SustainableCities.pngSections/Figs/Common/SDG_9_IndustryInnovation.pngSections/Figs/Common/SDG_7_CleanEnergy.png 2456952 422856 http://cds.cern.ch/record/2861065/files/fourchoices-scientific.png 00020 type=figure : Emissions reduction from individual actions. Black lines correspond to individual developed nations studied, the mean over which is shown as a coloured bar. Note that these numbers are based on average current emissions in developed countries, neglecting the effects of climate policy. The break in the left-most bar distinguishes between the emissions due to direct offspring and integrated emissions over all generations of descendants. Moreover, the integrated estimate assumes emissions per capita that are constant in time. See the accompanying text and footnote for a more detailed exposition of the underlying assumptions and leading systematic uncertainties. Figure reused from Ref.~\cite{Wynes_2017} under the terms of the \href{https://creativecommons.org/licenses/by/3.0/}{Creative Commons Attribution 3.0 Unported (CC-BY 3.0) License}. 2456953 272801 http://cds.cern.ch/record/2861065/files/IPCC-GHG-Projection.png 00016 According to the IPCC, the global net greenhouse gas emissions have to come down to zero to limit global warming. To avoid irreversible tipping points, mitigation pathways should limit warming to 1.5\degree C, which requires deep, rapid and sustained emissions reductions. Pledged policy changes announced up until October 2021 by nations party to the Paris Climate Agreement, known as Nationally Determined Contributions, are insufficient to meet this goal. Figure excerpted from the IPCC 2023 Synthesis Report, Ref. \cite{IPCC2023SynthesisSPM}. 2456954 11737620 http://cds.cern.ch/record/2861065/files/2306.02837.pdf Fulltext 2456955 18334 http://cds.cern.ch/record/2861065/files/MobilityEmissionsLinear.png 00021 GHG emissions for different means of transport (in g\CdOe\ per km). Emissions from electricity and vehicle production as well as fuel combustion are included. All data is for 2019--2020, and comes from the database of Ref.~\cite{labos1p5} --- see, in particular, Ref.~\cite{labos1p5emi} --- and assumes the electricity comes from the French grid, which is a factor of 10 less carbon-intensive than other countries~\cite{OWDintensity}. For a comparison with the UK, see Ref.~\cite{OWIDtravel}. Note that emissions from personal transport do not scale linearly with number of passengers. 2456956 105732 http://cds.cern.ch/record/2861065/files/SDG_8_EconomicGrowth.png 00022 : Caption not extracted 2456957 119505 http://cds.cern.ch/record/2861065/files/SDG_16_PeaceJusticeStrongInstitutions.png 00005 Sections/Figs/Common/SDG_17_PartnershipForGoals.pngSections/Figs/Common/SDG_16_PeaceJusticeStrongInstitutions.pngSections/Figs/Common/SDG_13_ClimateAction.pngSections/Figs/Common/SDG_12_ResponsibleConsumption.pngSections/Figs/Common/SDG_11_SustainableCities.pngSections/Figs/Common/SDG_9_IndustryInnovation.pngSections/Figs/Common/SDG_7_CleanEnergy.png 2456958 131997 http://cds.cern.ch/record/2861065/files/SDG_12_ResponsibleConsumption.png 00003 Sections/Figs/Common/SDG_17_PartnershipForGoals.pngSections/Figs/Common/SDG_16_PeaceJusticeStrongInstitutions.pngSections/Figs/Common/SDG_13_ClimateAction.pngSections/Figs/Common/SDG_12_ResponsibleConsumption.pngSections/Figs/Common/SDG_11_SustainableCities.pngSections/Figs/Common/SDG_9_IndustryInnovation.pngSections/Figs/Common/SDG_7_CleanEnergy.png 2456959 77917 http://cds.cern.ch/record/2861065/files/SDG_15_LifeOnLand.png 00013 \recskip\begin{itemize}[leftmargin=6 mm] \setlength{\itemsep}{\recskip} \item Incentivise the consumption of plant-based products at on-site restaurants by increasing their variety and quality, and subsidising their cost. \item Highlight the environmental impact of food choices through service layout and labelling. \item Minimise food waste by providing multiple portion sizes and donating unused food. \item Read section on waste (Section~\ref{sec:Waste}) and limit food-service waste \eg through industrial composting of biodegradable food containers. \end{itemize}\begin{itemize}[leftmargin=6 mm] \setlength{\itemsep}{\recskip} \item Prioritise plant-based options in conference catering, and optimise service method to reduce food waste. \end{itemize} 2456960 1300426 http://cds.cern.ch/record/2861065/files/ESDG_Poster2019_PRINT.png 00020 The seventeen United Nations Sustainable Development Goals~\cite{UNSustainableGoalsFigure}. 2456961 456745 http://cds.cern.ch/record/2861065/files/OxfamFig.png 00017 Share of cumulative emissions from 1990 to 2015 and use of the global carbon budget for 1.5\degree C linked to consumption by different global income groups. Figure reproduced from Ref.~\cite{Oxfam2020} with the permission of Oxfam.\footnote{Oxfam House, John Smith Drive, Cowley, Oxford OX4 2JY, UK, \url{https://www.oxfam.org.uk/}. Oxfam does not necessarily endorse any text or activities that accompany the materials.} 2456962 114358 http://cds.cern.ch/record/2861065/files/SDG_13_ClimateAction.png 00004 Sections/Figs/Common/SDG_17_PartnershipForGoals.pngSections/Figs/Common/SDG_16_PeaceJusticeStrongInstitutions.pngSections/Figs/Common/SDG_13_ClimateAction.pngSections/Figs/Common/SDG_12_ResponsibleConsumption.pngSections/Figs/Common/SDG_11_SustainableCities.pngSections/Figs/Common/SDG_9_IndustryInnovation.pngSections/Figs/Common/SDG_7_CleanEnergy.png 2456963 144525 http://cds.cern.ch/record/2861065/files/ene-gap.png 00007 Global primary energy consumption is dominated by fossil fuels, the use of which has been increasing steadily despite repeated warnings from the climate change conferences of the United Nations (COP) dating as far back as 1995. Decreasing emissions by 50\%, as recommended by the IPCC to avoid irreversible tipping points~\cite{OECDTippingPoints} (see blue line in \fref{fig:ene-netco2}) creates a large energy gap that must be filled by additional climate-neutral power generation, or by energy savings and recuperation. Consumption was extrapolated linearly from 1965--2021 to account for additional demand from emerging countries. Left part of figure taken from Ref.~\cite{OWDgap}, based on data from Refs.~\cite{Smil,BP2022}, reused and adapted under the terms of the \href{https://creativecommons.org/licenses/by/4.0/}{Creative Commons Attribution 4.0 International (CC BY 4.0) license}. 2456964 86805 http://cds.cern.ch/record/2861065/files/SDG_2_ZeroHunger.png 00009 \recskip\begin{itemize}[leftmargin=6 mm] \setlength{\itemsep}{\recskip} \item Incentivise the consumption of plant-based products at on-site restaurants by increasing their variety and quality, and subsidising their cost. \item Highlight the environmental impact of food choices through service layout and labelling. \item Minimise food waste by providing multiple portion sizes and donating unused food. \item Read section on waste (Section~\ref{sec:Waste}) and limit food-service waste \eg through industrial composting of biodegradable food containers. \end{itemize}\begin{itemize}[leftmargin=6 mm] \setlength{\itemsep}{\recskip} \item Prioritise plant-based options in conference catering, and optimise service method to reduce food waste. \end{itemize} 2456965 188057 http://cds.cern.ch/record/2861065/files/CarbonSavingsDiet.png 00015 Potential reduction in GHG emissions due to changes in diet, relative to current emissions from food. Figure reused from Ref.~\cite{OWID-CarbonOpportunity} under the terms of the \href{https://creativecommons.org/licenses/by/4.0/}{Creative Commons Attribution 4.0 International (CC BY 4.0) license}, based on data from Refs.~\cite{PooreNemecek2018,Schmidinger}. 2456966 112664 http://cds.cern.ch/record/2861065/files/SDG_3_GoodHealth.png 00010 \recskip\begin{itemize}[leftmargin=6 mm] \setlength{\itemsep}{\recskip} \item Incentivise the consumption of plant-based products at on-site restaurants by increasing their variety and quality, and subsidising their cost. \item Highlight the environmental impact of food choices through service layout and labelling. \item Minimise food waste by providing multiple portion sizes and donating unused food. \item Read section on waste (Section~\ref{sec:Waste}) and limit food-service waste \eg through industrial composting of biodegradable food containers. \end{itemize}\begin{itemize}[leftmargin=6 mm] \setlength{\itemsep}{\recskip} \item Prioritise plant-based options in conference catering, and optimise service method to reduce food waste. \end{itemize} 2456967 37787 http://cds.cern.ch/record/2861065/files/ComparativeEmissions.png 00019 Reported workplace GHG emissions, distributed among researchers at five different \ACR\ institutions, with the global per-capita average, and remaining carbon "budget" to stay within the Paris Climate Accord limit of 1.5\degree C of warming shown for comparison. CERN data for 2019 is taken from Refs.~\cite{Environment:2737239,CERN-HR-STAFF-STAT-2019,CERN:2723123,Hartley}, MPIA data for 2019 from Ref.~\cite{Jahnke2020}, ETHZ DPhys data from 2018 taken from Ref.~\cite{Beisert2020}, Nikhef data from 2019 from Ref.~\cite{Nikhef}, and Fermilab (FNAL) data from Ref.~\cite{FermilabEnvReport2019}. Although FNAL's 2019 electricity consumption was half that of CERN, its Scope 2 emissions were an order of magnitude larger, reflecting local differences in carbon intensity of fuel sources for electricity generation~\cite{Environment:2737239,FermilabEnvReport}. Two-thirds of FNAL's purchased electricity is used to run its high-energy accelerators~\cite{FermilabEnvReport}. Scope 3 estimates are incomplete for all but CERN. To estimate emissions per researcher, each individual emissions category was divided by the nominal number of users for that resource, see Appendix~\ref{sec:DataforFig1.4} for details. 2456968 59468 http://cds.cern.ch/record/2861065/files/FoodEnvironment.png 00014 Environmental impact of food production, with fine-grained partitioning of GHG emissions by food sector. Figure modified from Ref.~\cite{OWID-Food} under the terms of the \href{https://creativecommons.org/licenses/by/4.0/}{Creative Commons Attribution 4.0 International (CC BY 4.0) license}, based on data from Refs.~\cite{PooreNemecek2018} and~\cite{Bar-On6506}. 2456969 102800 http://cds.cern.ch/record/2861065/files/SDG_6_CleanWater.png 00011 \recskip\begin{itemize}[leftmargin=6 mm] \setlength{\itemsep}{\recskip} \item Incentivise the consumption of plant-based products at on-site restaurants by increasing their variety and quality, and subsidising their cost. \item Highlight the environmental impact of food choices through service layout and labelling. \item Minimise food waste by providing multiple portion sizes and donating unused food. \item Read section on waste (Section~\ref{sec:Waste}) and limit food-service waste \eg through industrial composting of biodegradable food containers. \end{itemize}\begin{itemize}[leftmargin=6 mm] \setlength{\itemsep}{\recskip} \item Prioritise plant-based options in conference catering, and optimise service method to reduce food waste. \end{itemize} 2456970 103772 http://cds.cern.ch/record/2861065/files/SDG_14_LifeBelowWater.png 00012 \recskip\begin{itemize}[leftmargin=6 mm] \setlength{\itemsep}{\recskip} \item Incentivise the consumption of plant-based products at on-site restaurants by increasing their variety and quality, and subsidising their cost. \item Highlight the environmental impact of food choices through service layout and labelling. \item Minimise food waste by providing multiple portion sizes and donating unused food. \item Read section on waste (Section~\ref{sec:Waste}) and limit food-service waste \eg through industrial composting of biodegradable food containers. \end{itemize}\begin{itemize}[leftmargin=6 mm] \setlength{\itemsep}{\recskip} \item Prioritise plant-based options in conference catering, and optimise service method to reduce food waste. \end{itemize} 2456971 19286 http://cds.cern.ch/record/2861065/files/IPCCMitigationPotential.png 00008 Overview of energy-related mitigation options and their estimated range of costs and potentials in 2030, as determined by the IPCC in their Sixth Assessment Report. All costs were calculated with respect to conventional power generation; potentials were assessed with respect to the reference scenario in the World Energy Outlook 2019~\cite{IEA2019}. Data source: IPCC WGIII Summary for Policy Makers, Figure SPM.7, Ref.~\cite{IPCCMitigationData}. For further details on how the data was obtained, see Supplementary Material 12.SM.1.2 in Ref.~\cite{IPCCMitigationReport}. 2459385 12685352 http://cds.cern.ch/record/2861065/files/2a68f6d3d17d51fea4db615d5ecb8286.pdf Fulltext 2720518 12543507 http://cds.cern.ch/record/2861065/files/document.pdf Fulltext from Publisher 13 ARTICLE 2860852 20251201181732.0 oai:cds.cern.ch:2860852 cerncds:TALK eng Indico 4458 CERN. Geneva PV2023: Adding value (to) and preserving Scientific & Technical data CERN - 500/1-001 - Main Auditorium 2023-05-03T11:40:00 2023-05-03T12:00:00 1188041c30 Scalable, efficient and environmentally sustainable Long Term Digital Preservation of scientific datasets in the ARCHIVER project 2023 2023-05-03 1216 Streaming video DPHEP PV2023: Adding value (to) and preserving Scientific & Technical data 2023-05-03T11:40:00 CERN 2023 DPHEP Event TALK CERN Addis, Matthew speaker https://indico.cern.ch/event/1188041/contributions/5308490/ Talk details https://indico.cern.ch/event/1188041/ Event details MediaArchive /mnt/master_share/master_data/2023/1188041c30 Absolute master path MediaArchive /2023/1188041c30/1188041c30_en.vtt subtitle subtitle English MediaArchive /2023/1188041c30/1188041c30_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2023/1188041c30/1188041c30-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2023/1188041c30/1188041c30-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 167025 MediaArchive https://lecturemedia.cern.ch/2023/1188041c30/1188041c30-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 75353 MediaArchive https://lecturemedia.cern.ch/2023/1188041c30/1188041c30-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 418485 MediaArchive https://lecturemedia.cern.ch/2023/1188041c30/1188041c30-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 692409 MediaArchive https://lecturemedia.cern.ch/2023/1188041c30/1188041c30-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 125125 MediaArchive https://lecturemedia.cern.ch/2023/1188041c30/1188041c30-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1199829 MediaArchive https://lecturemedia.cern.ch/2023/1188041c30/1188041c30-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3986282 MediaArchive https://lecturemedia.cern.ch/2023/1188041c30/1188041c30-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 404812 dirk.duellmann@cern.ch Duellmann, Dirk CERN Shiers, Jamie 2022-08-03T12:00:45 2023-06-05T08:55:01 PUBLIC INDICO.1188041c30 https://videos.cern.ch/legacy/record/2860852 Indico CMTE MIGRATED 2866231 20250120183507.0 oai:cds.cern.ch:2866231 cerncds:FULLTEXT CERN-STUDENTS-Note-2023-017 eng Abou Karnib, Firas AUTHOR|(CDS)2860160 AUTHOR|(SzGeCERN)868831 firas.abou.karnib@cern.ch CMS Inspection Robot - Summer Student Program 2023 - Firas Abou Karnib Compact Muon Solenoid (CMS) Abbreviation 2023 CERN Geneva 28 Jul 2023 This project focused on the development of a CMS Inspection Robot for the Compact Muon Solenoid (CMS) experimental cavern at the Large Hadron Collider (LHC). The cavern's harsh conditions, including high radiation, strong magnetic fields, and cryogenic gases, make human access restricted during beam operation. To overcome this limitation, the project aimed to design and deploy a surveillance robot capable of conducting visual inspections and maintenance during beam operation. The project aimed to create a foundational platform for future summer student projects, allowing them to continue building upon the existing design. The prototype robot was designed to be compact, lightweight, and made from non-flammable materials to withstand hostile cavern conditions. It featured mecanum wheels for omnidirectional movement, and the hardware design included components such as Jetson Nano, OAK-D lite camera, Arduino Mega, DC motors, and DC motor drivers. The software/control system was implemented using Arduino interfacing with the hardware, enabling serial communication with the Jetson Nano acting as the main controller programmed with ROS2. The web interface, developed with Flask and React.js, allowed manual robot control via Wi-Fi. Testing of the prototype robot demonstrated its successful operation in normal conditions. Additionally, a test deployment in the experimental CMS caverns revealed that the robot performed well under the influence of magnetic fields up to 45 mT. However, improvements were suggested for future iterations, including addressing motor-shaft connection issues and implementing a method of measuring speed and localizing the robot using other environmental cues. Overall, the Summer Student Program achieved a significant milestone in designing and deploying the CMS Inspection Robot, paving the way for further advancements in future student projects. The robot's capabilities in visual inspections and maintenance during beam operation offer potential contributions to the efficient maintenance of the CMS experimental cavern at the LHC. CERN EDS SzGeCERN Engineering Robot CERN Hardware CERN Arduino CERN Robotics CERN Prototype Robot Design CERN DC Motors CERN CERN INTNOTE PUBLEP CMS EP CERN. Geneva. EP Department http://cds.cern.ch/record/2866231/files/Firas Abou Karnib Summer Student Report 2023.pdf Access to fulltext 2466370 1173579 firas.abou.karnib@cern.ch Joergen Pedersen, JP Zein Zebib, ZZ Richard Morton, RM n 202330 12 PUBLIC https://repository.cern/legacy/record/2866231 INTNOTEEPPUBL NOTE MIGRATED 2866168 SzGeCERN 20240705150302.0 DOI Elsevier B.V. 10.1016/j.nima.2023.168444 publication oai:cds.cern.ch:2866168 cerncds:CERN https://inspirehep.net/api/oai2d 2023-07-28T06:05:05Z marcxml oai:inspirehep.net:2680065 2023-07-27T18:33:40Z Inspire 2680065 eng Guida, R roberto.guida@cern.ch CERN Elsevier B.V. Optimization strategies for the greenhouse gas consumption of the resistive plate chamber detectors at the CERN LHC experiments 2023 5 p Elsevier B.V. Resistive Plate Chamber (RPC) detectors at the Large Hadron Collider (LHC) experiments are operated with a gas mixture containing two greenhouse gases (GHG): C2H2F4 (R134a) and SF6. These gases are used because they allow to achieve specific detector performance. However, due to their high Global Warming Potential (GWP) they are currently subject to a phase down policy that affects price and availability. To reduce the GHG usage, different strategies have been identified. As immediate actions, during the LHC Long Shutdown 2 (LS2) the RPC gas systems was upgraded to cope with new detector requirements and, in parallel, extensive campaigns for fixing leaks at detector level were performed. Since R134a dominates the GHG consumption, the development of a R134a gas recuperation plant is ongoing. A first prototype system was tested with encouraging results. A second prototype is under construction and it will be ready by beginning of 2023. For future long-term detector operation, R&D studies are ongoing for finding “green” alternatives to the currently used gases. Unfortunately, new gases developed by industry as refrigerant fluids are not behaving as the R134a in particle detectors which makes the replacement for present experiments difficult. publication © 2023 Published by Elsevier B.V. SzGeCERN Detectors and Experimental Techniques Elsevier B.V. Resistive-plate chamber Elsevier B.V. Gas re-circulation system Elsevier B.V. Gas recuperation system Elsevier B.V. Environmentally friendly gas mixture Elsevier B.V. Greenhouse gases Elsevier B.V. HFO Elsevier B.V. Low GWP gases ARTICLE CERN CERN-EP-RDET Busato, M CERN Mandelli, B CERN Rigoletti, G CERN 168444 publication C22-09-26.4 2023 Nucl. Instrum. Methods Phys. Res., A 1055 13 2841606 geneva20220926 168444 ARTICLE ConferencePaper 2866094 20240702100512.0 oai:cds.cern.ch:2866094 cerncds:FULLTEXT cerncds:REPORT DOI 10.17181/CERN.E06E.3CHI CERN REPORT CERN FCC FCC-ee 21 PUBLIC 125 p JAI Graduate Accelerator Physics Programme - student design projects 2023 Student design project as part of the John Adams Institute Graduate Accelerator Physics Programme REPORT Horney, Sasha Oxford U. Howling, Emily Oxford U. Kalos, Sebastian Oxford U. Musat, Vlad Oxford U. Salvesen, John Oxford U. Bosman, Max Royal Holloway, U. of London Keyken, Alex Royal Holloway, U. of London Casati, Ginevra Imperial Coll., London Kamath, Rohan Imperial Coll., London Kuo, Enzo Imperial Coll., London Luo, Runfeng Imperial Coll., London Razak, Rehanah Imperial Coll., London 2466021 23203334 http://cds.cern.ch/record/2866094/files/JAI FCCee Student Design Project.pdf Fulltext 2466021 13015 http://cds.cern.ch/record/2866094/files/JAI FCCee Student Design Project.jpg?subformat=icon-180 icon-180 Fulltext 2466021 79707 http://cds.cern.ch/record/2866094/files/JAI FCCee Student Design Project.jpg?subformat=icon-1440 icon-1440 Fulltext 2466021 79707 http://cds.cern.ch/record/2866094/files/JAI FCCee Student Design Project.jpg?subformat=icon-640 icon-640 Fulltext 2466021 79707 http://cds.cern.ch/record/2866094/files/JAI FCCee Student Design Project.jpg?subformat=icon-700 icon-700 Fulltext 2466021 9365 http://cds.cern.ch/record/2866094/files/JAI FCCee Student Design Project.gif?subformat=icon icon Fulltext emmanuel.tsesmelis@cern.ch 2023 The electron-positron Future Circular Collider (FCCee) requires a com- plex of accelerators to create, damp and accelerate beams of positrons and electrons. Potential designs for aspects of the positron Damping Ring (pDR) and transfer line are presented in this report. Several options for a bunch compressor in the transfer line between the pDR and following accelerating stage were designed and analysed. The accelerator magnets for use in the pDR were designed and modelled. The models were op- timised to meet the accelerator requirements. Cost and environmental impact were also considered. SzGeCERN Accelerators and Storage Rings Chan, Darren Oxford U. Accelerator Design Studies for the FCCee Positron Damping Ring and Transfer Line John Adams Institute Student Design Project 2023 h 202330 a2023 eng 2866082 SzGeCERN 20230815162503.0 DOI International Society for Optics and Photonics 10.1117/12.2678659 oai:cds.cern.ch:2866082 cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2670330 2023-07-26T12:36:28Z 2023-07-27T05:22:00Z marcxml Inspire 2670330 eng Neves, Tiago International Society for Optics and Photonics Optimising the design, cost, and performance of a distributed humidity and temperature fibre sensor 2023 4 p International Society for Optics and Photonics This paper presents the design, cost optimization and performance analysis of a distributed humidity and temperature fibre optic sensor for environmental monitoring. The sensor utilises a 1-metre spatial resolution phasesensitive Optical Time Domain Reflectometry (OTDR) interrogator and employs a pair of fibre optic cables as sensing elements. One cable is coated with polyimide for humidity sensing and the other is coated with acrylic for temperature sensing. The sensor is designed to be reliable, accurate and cost-effective, enabling its use in various industrial environments. New software was developed for fast data acquisition and processing, and the hardware was assembled to allow measurements to be taken at thousands of different locations over the same fibre optic. The cost of the current version and the acquisition time have been reduced by half compared to the reference version. The sensor’s performance was evaluated in both a controlled laboratory environment and in a real-world deployment. The results indicate that the sensor effectively measures relative humidity (RH) and temperature across a broad range of conditions while preserving the precision of the previous version. Additionally, it utilizes cost-effective hardware and has a significantly faster response time. SPIE 2023 SzGeCERN Detectors and Experimental Techniques ARTICLE CERN Soeiro, Manuel Santos, Mariana Rodrigues, João Carvalho, Maurício Petagna, Paolo CERN 189-192 Proc.SPIE Int.Soc.Opt.Eng. 12643 2023 11 2866011 189-192 mons20230523 ARTICLE ConferencePaper 2866078 SzGeCERN 20230727221035.0 DOI Elsevier B.V. 10.1016/j.nima.2023.168459 publication oai:cds.cern.ch:2866078 cerncds:CERN https://inspirehep.net/api/oai2d 2023-07-27T05:22:00Z marcxml oai:inspirehep.net:2673725 2023-07-26T12:16:23Z Inspire 2673725 eng Rossi, Cecilia INFN, Genoa Elsevier B.V. Study on properties of AISI 316L produced by Laser Powder Bed Fusion for high energy physics applications 2023 3 p Elsevier B.V. Nowadays Additive Manufacturing (AM) is catching on and spreading across various fields at an astonishing rate. High energy physics, where materials are often exposed to special environmental conditions, is also starting to use this technology. The aim of this paper is to compare traditional and 3D printed stainless steel AISI 316L products with an eye turned to the specific high energy applications environment. The manufactured samples are subjected to different heat treatments, including vacuum firing, as this thermal treatment is usually adopted for ultra-vacuum applications and cryogenic. Experimental tests are carried out on a set of samples to analyse the material composition and to assess properties such as mechanical performance in cryogenic application, high magnetic fields and ultra-vacuum compatibility. Such analysis of the material behaviour allows weakness and strength of the technology to be identified, compared to traditional AISI 316L. Elsevier B.V. publication 2023 SzGeCERN Detectors and Experimental Techniques Elsevier B.V. Additive manufacturing Elsevier B.V. AISI 316L Elsevier B.V. High energy physics Elsevier B.V. Laser Powder Bed Fusion Elsevier B.V. Selective laser sintering Elsevier B.V. SLM Elsevier B.V. LPBF Elsevier B.V. 3D printed ARTICLE CERN de Mongeot, Francesco Buatier Genoa U. Ferrando, Giulio Genoa U. Manzato, Giacomo Genoa U. Meyer, Mickael CERN Parodi, Luigi INFN, Genoa Sgobba, Stefano CERN Sortino, Marco U. Udine (main) Vaglio, Emanuele U. Udine (main) 168459 publication 2023 Nucl. Instrum. Methods Phys. Res., A 1055 C22-05-22 13 2808390 la biodola - isola d'elba20220522 168459 ARTICLE ConferencePaper 2866015 20230726215322.0 oai:cds.cern.ch:2866015 cerncds:CONF cerncds:TALK CONFERENCE ANNOUNCEMENT ANNOUNCEMENT https://acdc.theiet.org/ Conference home page https://ieeexplore.ieee.org/xpl/conhome/10136464/proceeding e-proceedings IEEE 2023 20230301 19th International Conference on AC and DC Power Transmission (ACDC 2023) Glasgow, UK 1 - 3 Mar 2023 2023 glasgow20230301 19 GB 20230303 SzGeCERN SzGeCERN cONFERENCE 41 ACDC is the meeting point for power transmission engineers to learn about new challenges in the energy industry, arising from environmental, regulatory, political and social factors; and how they impact on the development of transmission schemes. The multi-stream programme contains the latest insights in transmission and distribution engineering. The programme includes plans to develop the power grid, steps towards the net zero grid, HVDC resilience, new developments in AC and DC power, FACTS and network control, the role of power electronics in the grid, as well as new innovations such as energy islands. h 202330 eng 2864811 20230719111846.0 oai:cds.cern.ch:2864811 cerncds:FULLTEXT CERN-PHOTO-202307-163 AUTHOR|(CDS)2807091 AUTHOR|(SzGeCERN)558536 Tovar Pascual, Ana ana.tovar.pascual@cern.ch Universite Louis Lumiere (Lyon II) (FR) Innovation 4 Change Demo Day 2023 Geneva CERN 2023-07-05 General Photo public Innovation 4 Change Demo Day was held from 5 to 6 July at CERN. The Collège des Ingénieurs Italia (CDI), Politecnico di Torino, and CERN IdeaSquare was developed in 2016. Innovation 4 Change is a collaborative future laboratory for corporates, institutions and top multidisciplinary postgraduate talents in Europe towards the common goal of building a sustainable future together. During this intensive, 5-month programme, the participants develop innovative and scalable business ideas and practical solutions to respond to the important challenges presented by the partners, that are always related to social, economic and environmental problems of today, supporting the United Nations’ Sustainable Development Goals. I4C aims to train the Future Innovators of Europe by challenging talented MBAs & PhDs to resolve global problems identified by industry & organisations within a European program at CERN through proven scientific methodologies on tech, innovation & change management. In the 2023 edition, the participants are tackling 10 challenges from the food, health, education, energy, and materials sector, both from Italian and global corporates and institutions. For this year, the theme of the Demo Day is "The Exhibition of the Future". CERN 2023 CERN EDS PHOTOLAB SzGeCERN Photolab SzGeCERN Events CERN Ideasquare CERN Events CERN PHOTO AUTHOR|(CDS)2070299 AUTHOR|(SzGeCERN)582709 Brice, Maximilien Maximilien.Brice@cern.ch CERN Innovation 4 Change - CDI Leaders Summit programme https://indico.cern.ch/event/1289578/ 2463313 38792097 http://cds.cern.ch/record/2864811/files/_DSC1406.jpg 2463314 38473285 http://cds.cern.ch/record/2864811/files/_DSC1408.jpg 2463315 37994883 http://cds.cern.ch/record/2864811/files/_DSC1416.jpg 2463316 38212381 http://cds.cern.ch/record/2864811/files/_DSC1452.jpg 2463317 27721892 http://cds.cern.ch/record/2864811/files/_DSC1876.jpg 2463318 41053079 http://cds.cern.ch/record/2864811/files/_DSC1368.jpg 2463319 35509025 http://cds.cern.ch/record/2864811/files/_DSC1435.jpg 2463320 34985587 http://cds.cern.ch/record/2864811/files/_DSC1451 1.jpg 2463321 38412796 http://cds.cern.ch/record/2864811/files/_DSC1471.jpg 2463322 39796888 http://cds.cern.ch/record/2864811/files/_DSC1483.jpg 2463323 38570851 http://cds.cern.ch/record/2864811/files/_DSC1507.jpg 2463324 40765724 http://cds.cern.ch/record/2864811/files/_DSC1514.jpg 2463325 40411093 http://cds.cern.ch/record/2864811/files/_DSC1520.jpg 2463326 35284515 http://cds.cern.ch/record/2864811/files/_DSC1545.jpg 2463327 35070010 http://cds.cern.ch/record/2864811/files/_DSC1558.jpg 2463328 36977646 http://cds.cern.ch/record/2864811/files/_DSC1564.jpg 2463329 31446575 http://cds.cern.ch/record/2864811/files/_DSC1569.jpg 2463330 35051205 http://cds.cern.ch/record/2864811/files/_DSC1578.jpg 2463331 35377356 http://cds.cern.ch/record/2864811/files/_DSC1580.jpg 2463332 38668389 http://cds.cern.ch/record/2864811/files/_DSC1581.jpg 2463333 39857289 http://cds.cern.ch/record/2864811/files/_DSC1589.jpg 2463334 35819920 http://cds.cern.ch/record/2864811/files/_DSC1590.jpg 2463335 42093129 http://cds.cern.ch/record/2864811/files/_DSC1604.jpg 2463336 37204280 http://cds.cern.ch/record/2864811/files/_DSC1606.jpg 2463337 40409743 http://cds.cern.ch/record/2864811/files/_DSC1611.jpg 2463338 32750599 http://cds.cern.ch/record/2864811/files/_DSC1618.jpg 2463339 36927040 http://cds.cern.ch/record/2864811/files/_DSC1623.jpg 2463340 37688977 http://cds.cern.ch/record/2864811/files/_DSC1632.jpg 2463341 28899026 http://cds.cern.ch/record/2864811/files/_DSC1638.jpg 2463342 32770993 http://cds.cern.ch/record/2864811/files/_DSC1639.jpg 2463343 36761798 http://cds.cern.ch/record/2864811/files/_DSC1641.jpg 2463344 31948485 http://cds.cern.ch/record/2864811/files/_DSC1645.jpg 2463345 26138924 http://cds.cern.ch/record/2864811/files/_DSC1647.jpg 2463346 34713983 http://cds.cern.ch/record/2864811/files/_DSC1648.jpg 2463347 36450831 http://cds.cern.ch/record/2864811/files/_DSC1650.jpg 2463348 36214059 http://cds.cern.ch/record/2864811/files/_DSC1653.jpg 2463349 34285662 http://cds.cern.ch/record/2864811/files/_DSC1656.jpg 2463350 34534057 http://cds.cern.ch/record/2864811/files/_DSC1657.jpg 2463351 34052193 http://cds.cern.ch/record/2864811/files/_DSC1658.jpg 2463352 36259654 http://cds.cern.ch/record/2864811/files/_DSC1660.jpg 2463353 34185058 http://cds.cern.ch/record/2864811/files/_DSC1662.jpg 2463354 33001898 http://cds.cern.ch/record/2864811/files/_DSC1664.jpg 2463355 32224186 http://cds.cern.ch/record/2864811/files/_DSC1665.jpg 2463356 34834512 http://cds.cern.ch/record/2864811/files/_DSC1668.jpg 2463357 38390663 http://cds.cern.ch/record/2864811/files/_DSC1671.jpg 2463358 33887279 http://cds.cern.ch/record/2864811/files/_DSC1673.jpg 2463359 33029684 http://cds.cern.ch/record/2864811/files/_DSC1681.jpg 2463360 28770731 http://cds.cern.ch/record/2864811/files/_DSC1683.jpg 2463361 30787035 http://cds.cern.ch/record/2864811/files/_DSC1686.jpg 2463362 37109637 http://cds.cern.ch/record/2864811/files/_DSC1687.jpg 2463363 39077171 http://cds.cern.ch/record/2864811/files/_DSC1689.jpg 2463364 37034197 http://cds.cern.ch/record/2864811/files/_DSC1691.jpg 2463365 36880039 http://cds.cern.ch/record/2864811/files/_DSC1695.jpg 2463366 38939335 http://cds.cern.ch/record/2864811/files/_DSC1703.jpg 2463367 40978710 http://cds.cern.ch/record/2864811/files/_DSC1707.jpg 2463368 39530460 http://cds.cern.ch/record/2864811/files/_DSC1709.jpg 2463369 41533743 http://cds.cern.ch/record/2864811/files/_DSC1710.jpg 2463370 39441084 http://cds.cern.ch/record/2864811/files/_DSC1711.jpg 2463371 41053769 http://cds.cern.ch/record/2864811/files/_DSC1727.jpg 2463372 32759535 http://cds.cern.ch/record/2864811/files/_DSC1737.jpg 2463373 39630735 http://cds.cern.ch/record/2864811/files/_DSC1745.jpg 2463374 32169002 http://cds.cern.ch/record/2864811/files/_DSC1753.jpg 2463375 23219197 http://cds.cern.ch/record/2864811/files/_DSC1761.jpg 2463376 35278139 http://cds.cern.ch/record/2864811/files/_DSC1775.jpg 2463377 35444458 http://cds.cern.ch/record/2864811/files/_DSC1776.jpg 2463378 30205760 http://cds.cern.ch/record/2864811/files/_DSC1778.jpg 2463379 27540448 http://cds.cern.ch/record/2864811/files/_DSC1779.jpg 2463380 36933363 http://cds.cern.ch/record/2864811/files/_DSC1782.jpg 2463381 39735528 http://cds.cern.ch/record/2864811/files/_DSC1784.jpg 2463382 33746269 http://cds.cern.ch/record/2864811/files/_DSC1785.jpg 2463383 28724217 http://cds.cern.ch/record/2864811/files/_DSC1791.jpg 2463384 31484773 http://cds.cern.ch/record/2864811/files/_DSC1796.jpg 2463385 36056477 http://cds.cern.ch/record/2864811/files/_DSC1798.jpg 2463386 35558198 http://cds.cern.ch/record/2864811/files/_DSC1804.jpg 2463387 37673678 http://cds.cern.ch/record/2864811/files/_DSC1812.jpg 2463388 42919966 http://cds.cern.ch/record/2864811/files/_DSC1836.jpg 2463389 33114991 http://cds.cern.ch/record/2864811/files/_DSC1839.jpg 2463390 40408973 http://cds.cern.ch/record/2864811/files/_DSC1844.jpg 2463391 33881276 http://cds.cern.ch/record/2864811/files/_DSC1855.jpg 2463392 43734621 http://cds.cern.ch/record/2864811/files/_DSC1868.jpg 2463313 233104 http://cds.cern.ch/record/2864811/files/_DSC1406.jpg?subformat=icon-640 icon-640 2463313 38534 http://cds.cern.ch/record/2864811/files/_DSC1406.jpg?subformat=icon-180 icon-180 2463313 883909 http://cds.cern.ch/record/2864811/files/_DSC1406.jpg?subformat=icon-1440 icon-1440 2463314 193436 http://cds.cern.ch/record/2864811/files/_DSC1408.jpg?subformat=icon-640 icon-640 2463314 36862 http://cds.cern.ch/record/2864811/files/_DSC1408.jpg?subformat=icon-180 icon-180 2463314 736640 http://cds.cern.ch/record/2864811/files/_DSC1408.jpg?subformat=icon-1440 icon-1440 2463315 196924 http://cds.cern.ch/record/2864811/files/_DSC1416.jpg?subformat=icon-640 icon-640 2463315 35554 http://cds.cern.ch/record/2864811/files/_DSC1416.jpg?subformat=icon-180 icon-180 2463315 765574 http://cds.cern.ch/record/2864811/files/_DSC1416.jpg?subformat=icon-1440 icon-1440 2463316 204374 http://cds.cern.ch/record/2864811/files/_DSC1452.jpg?subformat=icon-640 icon-640 2463316 37733 http://cds.cern.ch/record/2864811/files/_DSC1452.jpg?subformat=icon-180 icon-180 2463316 741358 http://cds.cern.ch/record/2864811/files/_DSC1452.jpg?subformat=icon-1440 icon-1440 2463317 174671 http://cds.cern.ch/record/2864811/files/_DSC1876.jpg?subformat=icon-640 icon-640 2463317 34631 http://cds.cern.ch/record/2864811/files/_DSC1876.jpg?subformat=icon-180 icon-180 2463317 596335 http://cds.cern.ch/record/2864811/files/_DSC1876.jpg?subformat=icon-1440 icon-1440 2463318 253247 http://cds.cern.ch/record/2864811/files/_DSC1368.jpg?subformat=icon-640 icon-640 2463318 40325 http://cds.cern.ch/record/2864811/files/_DSC1368.jpg?subformat=icon-180 icon-180 2463318 980680 http://cds.cern.ch/record/2864811/files/_DSC1368.jpg?subformat=icon-1440 icon-1440 2463319 200526 http://cds.cern.ch/record/2864811/files/_DSC1435.jpg?subformat=icon-640 icon-640 2463319 36494 http://cds.cern.ch/record/2864811/files/_DSC1435.jpg?subformat=icon-180 icon-180 2463319 712611 http://cds.cern.ch/record/2864811/files/_DSC1435.jpg?subformat=icon-1440 icon-1440 2463320 180905 http://cds.cern.ch/record/2864811/files/_DSC1451 1.jpg?subformat=icon-640 icon-640 2463320 33611 http://cds.cern.ch/record/2864811/files/_DSC1451 1.jpg?subformat=icon-180 icon-180 2463320 653276 http://cds.cern.ch/record/2864811/files/_DSC1451 1.jpg?subformat=icon-1440 icon-1440 2463321 229109 http://cds.cern.ch/record/2864811/files/_DSC1471.jpg?subformat=icon-640 icon-640 2463321 39148 http://cds.cern.ch/record/2864811/files/_DSC1471.jpg?subformat=icon-180 icon-180 2463321 849008 http://cds.cern.ch/record/2864811/files/_DSC1471.jpg?subformat=icon-1440 icon-1440 2463322 251716 http://cds.cern.ch/record/2864811/files/_DSC1483.jpg?subformat=icon-640 icon-640 2463322 41812 http://cds.cern.ch/record/2864811/files/_DSC1483.jpg?subformat=icon-180 icon-180 2463322 934695 http://cds.cern.ch/record/2864811/files/_DSC1483.jpg?subformat=icon-1440 icon-1440 2463323 203584 http://cds.cern.ch/record/2864811/files/_DSC1507.jpg?subformat=icon-640 icon-640 2463323 36057 http://cds.cern.ch/record/2864811/files/_DSC1507.jpg?subformat=icon-180 icon-180 2463323 784697 http://cds.cern.ch/record/2864811/files/_DSC1507.jpg?subformat=icon-1440 icon-1440 2463324 255112 http://cds.cern.ch/record/2864811/files/_DSC1514.jpg?subformat=icon-640 icon-640 2463324 41067 http://cds.cern.ch/record/2864811/files/_DSC1514.jpg?subformat=icon-180 icon-180 2463324 970268 http://cds.cern.ch/record/2864811/files/_DSC1514.jpg?subformat=icon-1440 icon-1440 2463325 256164 http://cds.cern.ch/record/2864811/files/_DSC1520.jpg?subformat=icon-640 icon-640 2463325 41857 http://cds.cern.ch/record/2864811/files/_DSC1520.jpg?subformat=icon-180 icon-180 2463325 957670 http://cds.cern.ch/record/2864811/files/_DSC1520.jpg?subformat=icon-1440 icon-1440 2463326 221580 http://cds.cern.ch/record/2864811/files/_DSC1545.jpg?subformat=icon-640 icon-640 2463326 37642 http://cds.cern.ch/record/2864811/files/_DSC1545.jpg?subformat=icon-180 icon-180 2463326 803647 http://cds.cern.ch/record/2864811/files/_DSC1545.jpg?subformat=icon-1440 icon-1440 2463327 158925 http://cds.cern.ch/record/2864811/files/_DSC1558.jpg?subformat=icon-640 icon-640 2463327 29354 http://cds.cern.ch/record/2864811/files/_DSC1558.jpg?subformat=icon-180 icon-180 2463327 609784 http://cds.cern.ch/record/2864811/files/_DSC1558.jpg?subformat=icon-1440 icon-1440 2463328 207863 http://cds.cern.ch/record/2864811/files/_DSC1564.jpg?subformat=icon-640 icon-640 2463328 37616 http://cds.cern.ch/record/2864811/files/_DSC1564.jpg?subformat=icon-180 icon-180 2463328 786767 http://cds.cern.ch/record/2864811/files/_DSC1564.jpg?subformat=icon-1440 icon-1440 2463329 165436 http://cds.cern.ch/record/2864811/files/_DSC1569.jpg?subformat=icon-640 icon-640 2463329 35424 http://cds.cern.ch/record/2864811/files/_DSC1569.jpg?subformat=icon-180 icon-180 2463329 575585 http://cds.cern.ch/record/2864811/files/_DSC1569.jpg?subformat=icon-1440 icon-1440 2463330 176596 http://cds.cern.ch/record/2864811/files/_DSC1578.jpg?subformat=icon-640 icon-640 2463330 34023 http://cds.cern.ch/record/2864811/files/_DSC1578.jpg?subformat=icon-180 icon-180 2463330 693290 http://cds.cern.ch/record/2864811/files/_DSC1578.jpg?subformat=icon-1440 icon-1440 2463331 248044 http://cds.cern.ch/record/2864811/files/_DSC1580.jpg?subformat=icon-640 icon-640 2463331 40258 http://cds.cern.ch/record/2864811/files/_DSC1580.jpg?subformat=icon-180 icon-180 2463331 911890 http://cds.cern.ch/record/2864811/files/_DSC1580.jpg?subformat=icon-1440 icon-1440 2463332 138547 http://cds.cern.ch/record/2864811/files/_DSC1581.jpg?subformat=icon-640 icon-640 2463332 28090 http://cds.cern.ch/record/2864811/files/_DSC1581.jpg?subformat=icon-180 icon-180 2463332 538753 http://cds.cern.ch/record/2864811/files/_DSC1581.jpg?subformat=icon-1440 icon-1440 2463333 226852 http://cds.cern.ch/record/2864811/files/_DSC1589.jpg?subformat=icon-640 icon-640 2463333 38313 http://cds.cern.ch/record/2864811/files/_DSC1589.jpg?subformat=icon-180 icon-180 2463333 874326 http://cds.cern.ch/record/2864811/files/_DSC1589.jpg?subformat=icon-1440 icon-1440 2463334 189672 http://cds.cern.ch/record/2864811/files/_DSC1590.jpg?subformat=icon-640 icon-640 2463334 34960 http://cds.cern.ch/record/2864811/files/_DSC1590.jpg?subformat=icon-180 icon-180 2463334 707974 http://cds.cern.ch/record/2864811/files/_DSC1590.jpg?subformat=icon-1440 icon-1440 2463335 255959 http://cds.cern.ch/record/2864811/files/_DSC1604.jpg?subformat=icon-640 icon-640 2463335 41692 http://cds.cern.ch/record/2864811/files/_DSC1604.jpg?subformat=icon-180 icon-180 2463335 969503 http://cds.cern.ch/record/2864811/files/_DSC1604.jpg?subformat=icon-1440 icon-1440 2463336 191361 http://cds.cern.ch/record/2864811/files/_DSC1606.jpg?subformat=icon-640 icon-640 2463336 38310 http://cds.cern.ch/record/2864811/files/_DSC1606.jpg?subformat=icon-180 icon-180 2463336 722650 http://cds.cern.ch/record/2864811/files/_DSC1606.jpg?subformat=icon-1440 icon-1440 2463337 255973 http://cds.cern.ch/record/2864811/files/_DSC1611.jpg?subformat=icon-640 icon-640 2463337 42965 http://cds.cern.ch/record/2864811/files/_DSC1611.jpg?subformat=icon-180 icon-180 2463337 940813 http://cds.cern.ch/record/2864811/files/_DSC1611.jpg?subformat=icon-1440 icon-1440 2463338 206888 http://cds.cern.ch/record/2864811/files/_DSC1618.jpg?subformat=icon-640 icon-640 2463338 35355 http://cds.cern.ch/record/2864811/files/_DSC1618.jpg?subformat=icon-180 icon-180 2463338 765506 http://cds.cern.ch/record/2864811/files/_DSC1618.jpg?subformat=icon-1440 icon-1440 2463339 233231 http://cds.cern.ch/record/2864811/files/_DSC1623.jpg?subformat=icon-640 icon-640 2463339 39313 http://cds.cern.ch/record/2864811/files/_DSC1623.jpg?subformat=icon-180 icon-180 2463339 870827 http://cds.cern.ch/record/2864811/files/_DSC1623.jpg?subformat=icon-1440 icon-1440 2463340 1021960 http://cds.cern.ch/record/2864811/files/_DSC1632.jpg?subformat=icon-1440 icon-1440 2463340 281787 http://cds.cern.ch/record/2864811/files/_DSC1632.jpg?subformat=icon-640 icon-640 2463340 44850 http://cds.cern.ch/record/2864811/files/_DSC1632.jpg?subformat=icon-180 icon-180 2463341 205036 http://cds.cern.ch/record/2864811/files/_DSC1638.jpg?subformat=icon-640 icon-640 2463341 36345 http://cds.cern.ch/record/2864811/files/_DSC1638.jpg?subformat=icon-180 icon-180 2463341 729080 http://cds.cern.ch/record/2864811/files/_DSC1638.jpg?subformat=icon-1440 icon-1440 2463342 197732 http://cds.cern.ch/record/2864811/files/_DSC1639.jpg?subformat=icon-640 icon-640 2463342 37905 http://cds.cern.ch/record/2864811/files/_DSC1639.jpg?subformat=icon-180 icon-180 2463342 658651 http://cds.cern.ch/record/2864811/files/_DSC1639.jpg?subformat=icon-1440 icon-1440 2463343 211942 http://cds.cern.ch/record/2864811/files/_DSC1641.jpg?subformat=icon-640 icon-640 2463343 37201 http://cds.cern.ch/record/2864811/files/_DSC1641.jpg?subformat=icon-180 icon-180 2463343 799809 http://cds.cern.ch/record/2864811/files/_DSC1641.jpg?subformat=icon-1440 icon-1440 2463344 175447 http://cds.cern.ch/record/2864811/files/_DSC1645.jpg?subformat=icon-640 icon-640 2463344 33331 http://cds.cern.ch/record/2864811/files/_DSC1645.jpg?subformat=icon-180 icon-180 2463344 631793 http://cds.cern.ch/record/2864811/files/_DSC1645.jpg?subformat=icon-1440 icon-1440 2463345 251109 http://cds.cern.ch/record/2864811/files/_DSC1647.jpg?subformat=icon-640 icon-640 2463345 44234 http://cds.cern.ch/record/2864811/files/_DSC1647.jpg?subformat=icon-180 icon-180 2463345 924407 http://cds.cern.ch/record/2864811/files/_DSC1647.jpg?subformat=icon-1440 icon-1440 2463346 201514 http://cds.cern.ch/record/2864811/files/_DSC1648.jpg?subformat=icon-640 icon-640 2463346 37676 http://cds.cern.ch/record/2864811/files/_DSC1648.jpg?subformat=icon-180 icon-180 2463346 705548 http://cds.cern.ch/record/2864811/files/_DSC1648.jpg?subformat=icon-1440 icon-1440 2463347 175831 http://cds.cern.ch/record/2864811/files/_DSC1650.jpg?subformat=icon-640 icon-640 2463347 33631 http://cds.cern.ch/record/2864811/files/_DSC1650.jpg?subformat=icon-180 icon-180 2463347 669365 http://cds.cern.ch/record/2864811/files/_DSC1650.jpg?subformat=icon-1440 icon-1440 2463348 234021 http://cds.cern.ch/record/2864811/files/_DSC1653.jpg?subformat=icon-640 icon-640 2463348 38420 http://cds.cern.ch/record/2864811/files/_DSC1653.jpg?subformat=icon-180 icon-180 2463348 871110 http://cds.cern.ch/record/2864811/files/_DSC1653.jpg?subformat=icon-1440 icon-1440 2463349 189318 http://cds.cern.ch/record/2864811/files/_DSC1656.jpg?subformat=icon-640 icon-640 2463349 33801 http://cds.cern.ch/record/2864811/files/_DSC1656.jpg?subformat=icon-180 icon-180 2463349 711702 http://cds.cern.ch/record/2864811/files/_DSC1656.jpg?subformat=icon-1440 icon-1440 2463350 199647 http://cds.cern.ch/record/2864811/files/_DSC1657.jpg?subformat=icon-640 icon-640 2463350 35629 http://cds.cern.ch/record/2864811/files/_DSC1657.jpg?subformat=icon-180 icon-180 2463350 734561 http://cds.cern.ch/record/2864811/files/_DSC1657.jpg?subformat=icon-1440 icon-1440 2463351 196066 http://cds.cern.ch/record/2864811/files/_DSC1658.jpg?subformat=icon-640 icon-640 2463351 35458 http://cds.cern.ch/record/2864811/files/_DSC1658.jpg?subformat=icon-180 icon-180 2463351 717631 http://cds.cern.ch/record/2864811/files/_DSC1658.jpg?subformat=icon-1440 icon-1440 2463352 232987 http://cds.cern.ch/record/2864811/files/_DSC1660.jpg?subformat=icon-640 icon-640 2463352 38632 http://cds.cern.ch/record/2864811/files/_DSC1660.jpg?subformat=icon-180 icon-180 2463352 866554 http://cds.cern.ch/record/2864811/files/_DSC1660.jpg?subformat=icon-1440 icon-1440 2463353 142523 http://cds.cern.ch/record/2864811/files/_DSC1662.jpg?subformat=icon-640 icon-640 2463353 29328 http://cds.cern.ch/record/2864811/files/_DSC1662.jpg?subformat=icon-180 icon-180 2463353 545001 http://cds.cern.ch/record/2864811/files/_DSC1662.jpg?subformat=icon-1440 icon-1440 2463354 173441 http://cds.cern.ch/record/2864811/files/_DSC1664.jpg?subformat=icon-640 icon-640 2463354 33340 http://cds.cern.ch/record/2864811/files/_DSC1664.jpg?subformat=icon-180 icon-180 2463354 603913 http://cds.cern.ch/record/2864811/files/_DSC1664.jpg?subformat=icon-1440 icon-1440 2463355 170036 http://cds.cern.ch/record/2864811/files/_DSC1665.jpg?subformat=icon-640 icon-640 2463355 32738 http://cds.cern.ch/record/2864811/files/_DSC1665.jpg?subformat=icon-180 icon-180 2463355 622695 http://cds.cern.ch/record/2864811/files/_DSC1665.jpg?subformat=icon-1440 icon-1440 2463356 181226 http://cds.cern.ch/record/2864811/files/_DSC1668.jpg?subformat=icon-640 icon-640 2463356 32254 http://cds.cern.ch/record/2864811/files/_DSC1668.jpg?subformat=icon-180 icon-180 2463356 680534 http://cds.cern.ch/record/2864811/files/_DSC1668.jpg?subformat=icon-1440 icon-1440 2463357 209328 http://cds.cern.ch/record/2864811/files/_DSC1671.jpg?subformat=icon-640 icon-640 2463357 37685 http://cds.cern.ch/record/2864811/files/_DSC1671.jpg?subformat=icon-180 icon-180 2463357 786169 http://cds.cern.ch/record/2864811/files/_DSC1671.jpg?subformat=icon-1440 icon-1440 2463358 157883 http://cds.cern.ch/record/2864811/files/_DSC1673.jpg?subformat=icon-640 icon-640 2463358 31582 http://cds.cern.ch/record/2864811/files/_DSC1673.jpg?subformat=icon-180 icon-180 2463358 577865 http://cds.cern.ch/record/2864811/files/_DSC1673.jpg?subformat=icon-1440 icon-1440 2463359 197747 http://cds.cern.ch/record/2864811/files/_DSC1681.jpg?subformat=icon-640 icon-640 2463359 35180 http://cds.cern.ch/record/2864811/files/_DSC1681.jpg?subformat=icon-180 icon-180 2463359 730501 http://cds.cern.ch/record/2864811/files/_DSC1681.jpg?subformat=icon-1440 icon-1440 2463360 148968 http://cds.cern.ch/record/2864811/files/_DSC1683.jpg?subformat=icon-640 icon-640 2463360 29161 http://cds.cern.ch/record/2864811/files/_DSC1683.jpg?subformat=icon-180 icon-180 2463360 534898 http://cds.cern.ch/record/2864811/files/_DSC1683.jpg?subformat=icon-1440 icon-1440 2463361 185039 http://cds.cern.ch/record/2864811/files/_DSC1686.jpg?subformat=icon-640 icon-640 2463361 35243 http://cds.cern.ch/record/2864811/files/_DSC1686.jpg?subformat=icon-180 icon-180 2463361 661592 http://cds.cern.ch/record/2864811/files/_DSC1686.jpg?subformat=icon-1440 icon-1440 2463362 230932 http://cds.cern.ch/record/2864811/files/_DSC1687.jpg?subformat=icon-640 icon-640 2463362 37209 http://cds.cern.ch/record/2864811/files/_DSC1687.jpg?subformat=icon-180 icon-180 2463362 904533 http://cds.cern.ch/record/2864811/files/_DSC1687.jpg?subformat=icon-1440 icon-1440 2463363 227912 http://cds.cern.ch/record/2864811/files/_DSC1689.jpg?subformat=icon-640 icon-640 2463363 38454 http://cds.cern.ch/record/2864811/files/_DSC1689.jpg?subformat=icon-180 icon-180 2463363 867239 http://cds.cern.ch/record/2864811/files/_DSC1689.jpg?subformat=icon-1440 icon-1440 2463364 219776 http://cds.cern.ch/record/2864811/files/_DSC1691.jpg?subformat=icon-640 icon-640 2463364 36676 http://cds.cern.ch/record/2864811/files/_DSC1691.jpg?subformat=icon-180 icon-180 2463364 816876 http://cds.cern.ch/record/2864811/files/_DSC1691.jpg?subformat=icon-1440 icon-1440 2463365 205187 http://cds.cern.ch/record/2864811/files/_DSC1695.jpg?subformat=icon-640 icon-640 2463365 36731 http://cds.cern.ch/record/2864811/files/_DSC1695.jpg?subformat=icon-180 icon-180 2463365 739618 http://cds.cern.ch/record/2864811/files/_DSC1695.jpg?subformat=icon-1440 icon-1440 2463366 235378 http://cds.cern.ch/record/2864811/files/_DSC1703.jpg?subformat=icon-640 icon-640 2463366 39880 http://cds.cern.ch/record/2864811/files/_DSC1703.jpg?subformat=icon-180 icon-180 2463366 883968 http://cds.cern.ch/record/2864811/files/_DSC1703.jpg?subformat=icon-1440 icon-1440 2463367 261589 http://cds.cern.ch/record/2864811/files/_DSC1707.jpg?subformat=icon-640 icon-640 2463367 42253 http://cds.cern.ch/record/2864811/files/_DSC1707.jpg?subformat=icon-180 icon-180 2463367 978566 http://cds.cern.ch/record/2864811/files/_DSC1707.jpg?subformat=icon-1440 icon-1440 2463368 236421 http://cds.cern.ch/record/2864811/files/_DSC1709.jpg?subformat=icon-640 icon-640 2463368 39621 http://cds.cern.ch/record/2864811/files/_DSC1709.jpg?subformat=icon-180 icon-180 2463368 898351 http://cds.cern.ch/record/2864811/files/_DSC1709.jpg?subformat=icon-1440 icon-1440 2463369 1063369 http://cds.cern.ch/record/2864811/files/_DSC1710.jpg?subformat=icon-1440 icon-1440 2463369 283905 http://cds.cern.ch/record/2864811/files/_DSC1710.jpg?subformat=icon-640 icon-640 2463369 43186 http://cds.cern.ch/record/2864811/files/_DSC1710.jpg?subformat=icon-180 icon-180 2463370 266946 http://cds.cern.ch/record/2864811/files/_DSC1711.jpg?subformat=icon-640 icon-640 2463370 42374 http://cds.cern.ch/record/2864811/files/_DSC1711.jpg?subformat=icon-180 icon-180 2463370 987363 http://cds.cern.ch/record/2864811/files/_DSC1711.jpg?subformat=icon-1440 icon-1440 2463371 276121 http://cds.cern.ch/record/2864811/files/_DSC1727.jpg?subformat=icon-640 icon-640 2463371 46068 http://cds.cern.ch/record/2864811/files/_DSC1727.jpg?subformat=icon-180 icon-180 2463371 973455 http://cds.cern.ch/record/2864811/files/_DSC1727.jpg?subformat=icon-1440 icon-1440 2463372 165430 http://cds.cern.ch/record/2864811/files/_DSC1737.jpg?subformat=icon-640 icon-640 2463372 34120 http://cds.cern.ch/record/2864811/files/_DSC1737.jpg?subformat=icon-180 icon-180 2463372 574219 http://cds.cern.ch/record/2864811/files/_DSC1737.jpg?subformat=icon-1440 icon-1440 2463373 254220 http://cds.cern.ch/record/2864811/files/_DSC1745.jpg?subformat=icon-640 icon-640 2463373 40572 http://cds.cern.ch/record/2864811/files/_DSC1745.jpg?subformat=icon-180 icon-180 2463373 972796 http://cds.cern.ch/record/2864811/files/_DSC1745.jpg?subformat=icon-1440 icon-1440 2463374 1059076 http://cds.cern.ch/record/2864811/files/_DSC1753.jpg?subformat=icon-1440 icon-1440 2463374 277975 http://cds.cern.ch/record/2864811/files/_DSC1753.jpg?subformat=icon-640 icon-640 2463374 44289 http://cds.cern.ch/record/2864811/files/_DSC1753.jpg?subformat=icon-180 icon-180 2463375 263185 http://cds.cern.ch/record/2864811/files/_DSC1761.jpg?subformat=icon-640 icon-640 2463375 42718 http://cds.cern.ch/record/2864811/files/_DSC1761.jpg?subformat=icon-180 icon-180 2463375 952127 http://cds.cern.ch/record/2864811/files/_DSC1761.jpg?subformat=icon-1440 icon-1440 2463376 261856 http://cds.cern.ch/record/2864811/files/_DSC1775.jpg?subformat=icon-640 icon-640 2463376 41226 http://cds.cern.ch/record/2864811/files/_DSC1775.jpg?subformat=icon-180 icon-180 2463376 950361 http://cds.cern.ch/record/2864811/files/_DSC1775.jpg?subformat=icon-1440 icon-1440 2463377 228761 http://cds.cern.ch/record/2864811/files/_DSC1776.jpg?subformat=icon-640 icon-640 2463377 39350 http://cds.cern.ch/record/2864811/files/_DSC1776.jpg?subformat=icon-180 icon-180 2463377 851021 http://cds.cern.ch/record/2864811/files/_DSC1776.jpg?subformat=icon-1440 icon-1440 2463378 232694 http://cds.cern.ch/record/2864811/files/_DSC1778.jpg?subformat=icon-640 icon-640 2463378 38060 http://cds.cern.ch/record/2864811/files/_DSC1778.jpg?subformat=icon-180 icon-180 2463378 875860 http://cds.cern.ch/record/2864811/files/_DSC1778.jpg?subformat=icon-1440 icon-1440 2463379 1001297 http://cds.cern.ch/record/2864811/files/_DSC1779.jpg?subformat=icon-1440 icon-1440 2463379 265498 http://cds.cern.ch/record/2864811/files/_DSC1779.jpg?subformat=icon-640 icon-640 2463379 40812 http://cds.cern.ch/record/2864811/files/_DSC1779.jpg?subformat=icon-180 icon-180 2463380 259042 http://cds.cern.ch/record/2864811/files/_DSC1782.jpg?subformat=icon-640 icon-640 2463380 41221 http://cds.cern.ch/record/2864811/files/_DSC1782.jpg?subformat=icon-180 icon-180 2463380 936315 http://cds.cern.ch/record/2864811/files/_DSC1782.jpg?subformat=icon-1440 icon-1440 2463381 1033690 http://cds.cern.ch/record/2864811/files/_DSC1784.jpg?subformat=icon-1440 icon-1440 2463381 273141 http://cds.cern.ch/record/2864811/files/_DSC1784.jpg?subformat=icon-640 icon-640 2463381 42840 http://cds.cern.ch/record/2864811/files/_DSC1784.jpg?subformat=icon-180 icon-180 2463382 224575 http://cds.cern.ch/record/2864811/files/_DSC1785.jpg?subformat=icon-640 icon-640 2463382 38827 http://cds.cern.ch/record/2864811/files/_DSC1785.jpg?subformat=icon-180 icon-180 2463382 825512 http://cds.cern.ch/record/2864811/files/_DSC1785.jpg?subformat=icon-1440 icon-1440 2463383 249158 http://cds.cern.ch/record/2864811/files/_DSC1791.jpg?subformat=icon-640 icon-640 2463383 41609 http://cds.cern.ch/record/2864811/files/_DSC1791.jpg?subformat=icon-180 icon-180 2463383 921195 http://cds.cern.ch/record/2864811/files/_DSC1791.jpg?subformat=icon-1440 icon-1440 2463384 224926 http://cds.cern.ch/record/2864811/files/_DSC1796.jpg?subformat=icon-640 icon-640 2463384 37363 http://cds.cern.ch/record/2864811/files/_DSC1796.jpg?subformat=icon-180 icon-180 2463384 796662 http://cds.cern.ch/record/2864811/files/_DSC1796.jpg?subformat=icon-1440 icon-1440 2463385 247167 http://cds.cern.ch/record/2864811/files/_DSC1798.jpg?subformat=icon-640 icon-640 2463385 40305 http://cds.cern.ch/record/2864811/files/_DSC1798.jpg?subformat=icon-180 icon-180 2463385 939863 http://cds.cern.ch/record/2864811/files/_DSC1798.jpg?subformat=icon-1440 icon-1440 2463386 209549 http://cds.cern.ch/record/2864811/files/_DSC1804.jpg?subformat=icon-640 icon-640 2463386 40590 http://cds.cern.ch/record/2864811/files/_DSC1804.jpg?subformat=icon-180 icon-180 2463386 741775 http://cds.cern.ch/record/2864811/files/_DSC1804.jpg?subformat=icon-1440 icon-1440 2463387 245396 http://cds.cern.ch/record/2864811/files/_DSC1812.jpg?subformat=icon-640 icon-640 2463387 40749 http://cds.cern.ch/record/2864811/files/_DSC1812.jpg?subformat=icon-180 icon-180 2463387 871158 http://cds.cern.ch/record/2864811/files/_DSC1812.jpg?subformat=icon-1440 icon-1440 2463388 191075 http://cds.cern.ch/record/2864811/files/_DSC1836.jpg?subformat=icon-640 icon-640 2463388 34235 http://cds.cern.ch/record/2864811/files/_DSC1836.jpg?subformat=icon-180 icon-180 2463388 807671 http://cds.cern.ch/record/2864811/files/_DSC1836.jpg?subformat=icon-1440 icon-1440 2463389 241025 http://cds.cern.ch/record/2864811/files/_DSC1839.jpg?subformat=icon-640 icon-640 2463389 38447 http://cds.cern.ch/record/2864811/files/_DSC1839.jpg?subformat=icon-180 icon-180 2463389 915842 http://cds.cern.ch/record/2864811/files/_DSC1839.jpg?subformat=icon-1440 icon-1440 2463390 180623 http://cds.cern.ch/record/2864811/files/_DSC1844.jpg?subformat=icon-640 icon-640 2463390 31996 http://cds.cern.ch/record/2864811/files/_DSC1844.jpg?subformat=icon-180 icon-180 2463390 753592 http://cds.cern.ch/record/2864811/files/_DSC1844.jpg?subformat=icon-1440 icon-1440 2463391 250905 http://cds.cern.ch/record/2864811/files/_DSC1855.jpg?subformat=icon-640 icon-640 2463391 39988 http://cds.cern.ch/record/2864811/files/_DSC1855.jpg?subformat=icon-180 icon-180 2463391 943579 http://cds.cern.ch/record/2864811/files/_DSC1855.jpg?subformat=icon-1440 icon-1440 2463392 220244 http://cds.cern.ch/record/2864811/files/_DSC1868.jpg?subformat=icon-640 icon-640 2463392 37157 http://cds.cern.ch/record/2864811/files/_DSC1868.jpg?subformat=icon-180 icon-180 2463392 874691 http://cds.cern.ch/record/2864811/files/_DSC1868.jpg?subformat=icon-1440 icon-1440 ana.tovar.pascual@cern.ch protocol.office@cern.ch n 202328 CERN Protocol Office <protocol.office@cern.ch> 86 PUBLIC VISIBLE PHOTOLABCERN 2863561 20260213040136.0 oai:cds.cern.ch:2863561 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI APS 10.1103/PhysRevD.109.L021302 publication arXiv oai:arXiv.org:2306.17021 oai:inspirehep.net:2672983 https://inspirehep.net/api/oai2d Inspire 2026-02-12T14:01:08Z 2026-02-13T03:00:03Z marcxml true Inspire 2672983 arXiv arXiv:2306.17021 astro-ph.CO arXiv:reportnumber KCL-PH-TH/2023-37 arXiv:reportnumber CERN-TH-2023-120 arXiv:reportnumber AION-REPORT/2023-06 eng Ellis, John ORCID:0000-0002-7399-0813 NICPB, Tallinn King's Coll. London CERN Keemilise ja Bioloogilise Füüsika Instituut, Rävala puiestee 10, 10143 Tallinn, Estonia Theoretical Physics Department, CERN, CH 1211 Geneva, Switzerland Physics Department, King’s College London, Strand, London, WC2R 2LS, United Kingdom arXiv Gravitational Waves from SMBH Binaries in Light of the NANOGrav 15-Year Data 2024-01-10 2023-06-29 11 p arXiv 5 pages, 4 figures, updated to match the published version APS The NANOGrav and other pulsar timing arrays (PTAs) have recently announced evidence for nHz gravitational waves (GWs) that may originate from supermassive black hole (SMBH) binaries. The spectral index of the GW signal differs from that predicted for binary evolution by GW emission alone, and we show that environmental effects such as dynamical friction with gas, stars, and dark matter improve the consistency of the SMBH binary model with the PTA data. We comment on the possible implications of environmental effects for PTA observations of fluctuations in the GW frequency spectrum and measurements of GWs at higher frequencies. arXiv The NANOGrav Collaboration has recently announced evidence for nHz gravitational waves (GWs), in the form of a Hellings-Downs angular correlation in the common-spectrum process that had been observed previously by them and other Pulsar Timing Arrays (PTAs). We analyze the possibility that these GWs originate from binary supermassive black holes (SMBHs) with total masses $\gtrsim 10^9\, M_{\odot}$. The spectral index of the GW signal differs at 95 % CL from that predicted for binary evolution by GW emission alone, and we find $> 3 \sigma$ evidence that environmental effects such as dynamical friction with gas, stars, and dark matter may be affecting the binary evolution. We estimate the required magnitude and spectrum of such environmental effects and comment on their possible implications for measurements of GWs at higher frequencies. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ American Physical Society publication © 2024 American Physical Society 2024 CERN-TH hep-th arXiv Particle Physics - Theory SzGeCERN hep-ph arXiv Particle Physics - Phenomenology SzGeCERN astro-ph.CO arXiv Astrophysics and Astronomy SzGeCERN CERN ARTICLE Fairbairn, Malcolm King's Coll. London Physics Department, King’s College London, Strand, London, WC2R 2LS, United Kingdom Hütsi, Gert NICPB, Tallinn Keemilise ja Bioloogilise Füüsika Instituut, Rävala puiestee 10, 10143 Tallinn, Estonia Raidal, Juhan ORCID:0009-0002-2600-3632 NICPB, Tallinn Keemilise ja Bioloogilise Füüsika Instituut, Rävala puiestee 10, 10143 Tallinn, Estonia Urrutia, Juan ORCID:0000-0002-6035-6610 NICPB, Tallinn Tallinn U. Tech. Keemilise ja Bioloogilise Füüsika Instituut, Rävala puiestee 10, 10143 Tallinn, Estonia Department of Cybernetics, Tallinn University of Technology, Akadeemia tee 21, 12618 Tallinn, Estonia Vaskonen, Ville NICPB, Tallinn Padua U. INFN, Padua Keemilise ja Bioloogilise Füüsika Instituut, Rävala puiestee 10, 10143 Tallinn, Estonia Dipartimento di Fisica e Astronomia, Università degli Studi di Padova, Via Marzolo 8, 35131 Padova, Italy Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Via Marzolo 8, 35131 Padova, Italy Veermäe, Hardi ORCID:0000-0003-1845-1355 NICPB, Tallinn Keemilise ja Bioloogilise Füüsika Instituut, Rävala puiestee 10, 10143 Tallinn, Estonia L021302 publication 2 2024 Phys. Rev. D 109 2461501 1527544 http://cds.cern.ch/record/2863561/files/2306.17021.pdf Fulltext 2461502 34786 http://cds.cern.ch/record/2863561/files/mix.png 00000 The best-fit GW energy density for GW-driven binaries (left) and GW and environmentally-driven effects (right), compared to the best power-law fit to the NG15 data (orange). The mean energy densities \eqref{eq:OmegaGW} are shown as full lines and the most probable values as dashed lines, and in each case one random realization is shown in red and the $95\%$ CL ranges are shaded. The gray curve shows the NG15 upper limit on signals from individually resolvable binaries~\cite{NANOGrav:2023pdq}. 2461503 19798 http://cds.cern.ch/record/2863561/files/effective_time.png 00003 Effective timescales $t_{\rm eff}$ for fits to the NANOGrav data, shown as functions of the separations at which binaries are emitting GWs in the NANOGrav band (1\,-\,30\,nHz), and for chirp masses $\mathcal{M}\in\left(10^9, 10^{11}\right)M_{\odot}$, which is the range found in \cite{Ellis:2023owy} to dominate the stochastic GW background. The dashed lines are for energy loss by GWs alone, and the shaded regions are those favoured at the 68\% CL for a combination of energy loss by environmental effects and GWs. 2461504 33066 http://cds.cern.ch/record/2863561/files/OmegaGWfits.png 00001 The NG15 data on the energy density of GWs, $\Omega_{\rm GW}$, (shown in orange), compared with the best fit assuming energy loss by GWs only (shown in blue), and the best fit including also energy loss by the environmental effects (shown in green). The posteriors for the parameters of the fits are shown in Fig.~\ref{fig:corner}. 2461505 139711 http://cds.cern.ch/record/2863561/files/TrianglePlots.png 00002 Fit of the SMBH binary model with environmental effects parametrized by $f_{\rm ref}$, $\alpha$, and $p_{\rm BH}$ to the NANOGrav data~\cite{NANOGravGW}, for $\beta=2/5$. The dashed line in $\alpha$ refers to the value that makes the timescale independent of the frequency of the binary. The best fit corresponds to the white point at $\alpha=1.5$, $p_{\rm BH}=0.98$ and $f_{\rm ref}\sim 7\times 10^{-9} \, \rm Hz$. 2464497 61089 http://cds.cern.ch/record/2863561/files/corner.png 00002 Fit of the SMBH binary model with environmental effects parametrized by $f_{\rm ref}$, $\alpha$, and $p_{\rm BH}$ to the NG15 data~\cite{NANOGrav:2023gor}, for $\beta=2/5$. 2484604 14468 http://cds.cern.ch/record/2863561/files/PlogO.png 00004 The distribution $P(\log_{10}\Omega|f_j)$ in the fifth NG15 frequency bin at $f_j = 9.88$ nHz for the best-fit model with environmental effects shown in Fig.~\ref{fig:bins}. The magenta (green) lines show the distributions obtained using $N_{\rm S} = 50$ (500) strong events. The dot-dashed and dashed lines show the distribution of $\log_{10}\Omega$ arising from weak and strong events, respectively. The solid line shows the combined distribution \eqref{eq:P_Omega_tot}. This distribution corresponds to a total of $7 \times 10^7$ individual SMBH binaries with strengths in the range $\log_{10}\Omega^{(1)}_{\rm GW} \in (-25,-3)$. The thick and thin grey dashed line show the analytic estimates~\eqref{eq:tail} and ~\eqref{eq:tail2} of the tail, respectively. 2484605 29582 http://cds.cern.ch/record/2863561/files/no_spread.png 00008 The best fits to the NG15 data (thin lines) generated by SMBH with GW-only evolution, with and without the scatter in the SMBH mass-stellar mass relation for IGs and for the AGNs. 2484606 23443 http://cds.cern.ch/record/2863561/files/effective_times.png 00003 Effective timescales $t_{\rm eff}$ for fits to the NG15 data, shown as functions of the separations at which binaries are emitting GWs in the NANOGrav band (1\,-\,30\,nHz), and for chirp masses $\mathcal{M}\in\left(10^8, 10^{10}\right)M_{\odot}$, which is the range found in \cite{Ellis:2023owy} to dominate the stochastic GW background. The dashed lines are for energy loss by GWs alone, and the shaded regions are those favored at the 68\% CL for a combination of energy loss by environmental effects and GWs. The two lower lines are computed with $\alpha<4$ and $\alpha<6$ as priors. 2484607 40934 http://cds.cern.ch/record/2863561/files/scaling_relations.png 00006 The green and orange curves show the local SMBH mass-halo mass relations arising from the SMBH mass-stellar mass relations for AGNs and IGs from~\cite{2015ApJ...813...82R} and the stellar mass-halo mass relation from~\cite{Girelli:2020goz}. The purple curve shows the phenomenological fit from the NANOGrav Collaboration~\cite{NANOGrav:2023hfp}. The solid curves show the best fits and the band width indicates the intrinsic scatter. 2484608 32204 http://cds.cern.ch/record/2863561/files/merger_rate.png 00007 Merger rates of equal mass SMBH binaries for the mass relations shown in Fig.~\ref{fig:scaling_plot} for IGs with and without scatter and for AGNs. 2484609 72508 http://cds.cern.ch/record/2863561/files/bins.png 00005 The distributions $P(\log_{10}\Omega|f_j)$ in the 14 NG15 frequency bins for the best fit points with (green) and without (blue) the environmental effects. The orange curves show the NG15 data. 13 ARTICLE 2868224 SzGeCERN 20230831164023.0 DOI Elsevier B.V. 10.1016/j.nima.2023.168097 publication oai:cds.cern.ch:2868224 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2631433 2023-08-21T14:10:23Z 2023-08-23T04:00:08Z marcxml Inspire 2631433 eng Rigoletti, Gianluca gianluca.rigoletti@cern.ch CERN Elsevier B.V. Studies on RPC detectors operated with environmentally friendly gas mixtures in LHC-like conditions 2023 5 p Elsevier B.V. Resistive Plate Chambers (RPC) are gaseous detectors employed at CERN LHC experiments thanks to their trigger performance, timing capabilities and contained production costs. High Pressure Laminate RPCs are operated with a three-component gas mixture, made of 90%–95% of C2H2F4, around 5% of i-C4H10 and 0.3% of SF6. Due to the presence of leaks at detector level and to the greenhouse characteristics of C2H2F4 and SF6, RPCs in ATLAS and CMS were accounting for about 87% of CO2 equivalent emissions during LHC Run 2. The addition of some amount of CO2 into the RPCs gas mixture was explored as a possible short-to-medium term solution to lower the total greenhouse gases emissions and reduce the usage of C2H2F4. A dedicated data taking campaign was performed at the Gamma Irradiation Facility at CERN, where RPCs detectors performance were studied with muon beam and gamma background. The detectors were operated with the addition of 30% and 40% of CO2 to the standard gas mixture, together with an increased fraction of SF6. In addition, the performance with two different amount of i-C4H10 were evaluated in order to assess the compatibility of the gas mixture with the CMS and ATLAS requirements. Results on the muon beam performance of RPCs operated with the aforementioned gas mixtures are reported in this work. publication CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2023 SzGeCERN Detectors and Experimental Techniques Elsevier B.V. Gaseous detectors Elsevier B.V. Resistive-plate chambers Elsevier B.V. Charge induction Elsevier B.V. Radiation damage to detector materials (gas detectors) Elsevier B.V. Gas systems and purification ARTICLE CERN CERN LHC Guida, Roberto CERN Mandelli, Beatrice CERN 168097 publication Nucl. Instrum. Methods Phys. Res., A 1049 C22-09-12 2023 2471304 474784 http://cds.cern.ch/record/2868224/files/1-s2.0-S0168900223000876-main.pdf Fulltext 13 2856349 168097 edinburgh20220912 ARTICLE ConferencePaper 2867054 20251201182427.0 oai:cds.cern.ch:2867054 cerncds:TALK eng Indico 16988 CERN. Geneva Digital Twins: introduction and use cases CERN - 31/3-004 - IT Amphitheatre 2023-08-07T14:00:00 2023-08-07T16:00:00 1293878 Digital Twins: introduction and use cases 2023 2023-08-07 3630 Streaming video CERN openlab summer student lecture programme 2023-08-07T14:00:00 <!--HTML--><h4>This will be a hybrid session, as one speaker will give the talk from the IT Amphitheatre and the other from remote.</h4><h2>Abstract</h2><p><br>interTwin is an EC-funded project that seeks to harness the potential of 'Digital Twins' in a diverse range of scientific fields within earth observation and physics. The project's core modules offer essential capabilities for the development and management of data-driven and compute-intensive applications. These capabilities include workflow composition, data fusion, AI workflow and method lifecycle management, real-time acquisition and data analytics, as well as validation, verification, and uncertainty tracing to ensure model quality. A key focus of interTwin is to establish seamless communication and interoperability among High Performance Computing (HPC), High Throughput Computing (HTC), and cloud resource providers. The project aims to establish consistent security measures, access policies, and resource accounting mechanisms to simplify resource access across different computing infrastructures. By doing so, interTwin aims to facilitate efficient and effective resource utilization for the advancement of scientific research and development in earth observation and physics.</p><p>&nbsp;</p><h2>Bio</h2><p><br>Alexander graduated with a MSc in Information Technology from ETH Zürich. Afterwards, he worked at the European Space Agency developing models for 3D asteroid surface reconstruction and computer vision algorithms for the HERA mission. Now, he is a Fellow at the CERN openlab working on InterTwin – an interdisciplinary Digital Twin Engine for Science. His research interest is especially focused on the intersection of computer science with other scientific disciplines, such as nanophotonics, transportation, aerospace and high-energy physics.</p><p>&nbsp;</p><p>Kalliopi Tsolaki received a BSc on Mathematics from the Aegean University in Greece. She also holds a MSc degree οn Digital Media &amp; Computational Intelligence from the Department of Informatics at Aristotle University of Thessaloniki. Since September 2022 Kalliopi works at CERN as an IT fellow having the role of a Data Scientist, contributing on projects involving Machine Learning applications in Physics. Prior joining CERN she worked in IT research, as well as in the consulting industry. She is currently involved with the development of a digital twin for particle detector simulations leveraging ML, in the framework of interTwin project. interTwin is an innovative project that builds a Digital Twin Engine incorporating a variety of digital twin applications from the physics and environmental domains.</p> CERN 2023 CERN openlab summer student lecture programme Event TALK CERN Zoechbauer, Alexander speaker CERN Luise, Ilaria speaker CERN Tsolaki, Kalliopi speaker CERN https://indico.cern.ch/event/1293878/ Event details MediaArchive /mnt/master_share/master_data/2023/1293878 Absolute master path MediaArchive https://lecturemedia.cern.ch/2023/1293878/1293878-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2023/1293878/1293878-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1150751 MediaArchive https://lecturemedia.cern.ch/2023/1293878/1293878-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 108823 MediaArchive https://lecturemedia.cern.ch/2023/1293878/1293878-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 652318 MediaArchive https://lecturemedia.cern.ch/2023/1293878/1293878-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 252932 MediaArchive https://lecturemedia.cern.ch/2023/1293878/1293878-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 98856 MediaArchive https://lecturemedia.cern.ch/2023/1293878/1293878-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 997602 MediaArchive https://lecturemedia.cern.ch/2023/1293878/1293878-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 2659689 MediaArchive https://lecturemedia.cern.ch/2023/1293878/1293878-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 294268 matteo.bunino@cern.ch Zoechbauer, Alexander CERN Luise, Ilaria CERN Tsolaki, Kalliopi CERN 2023-06-05T14:39:16 2023-08-08T08:33:38 PUBLIC INDICO.1293878 https://videos.cern.ch/legacy/record/2867054 Indico TALK MIGRATED 2866817 20250120183507.0 oai:cds.cern.ch:2866817 cerncds:FULLTEXT CERN-STUDENTS-Note-2023-020 eng Welikadage, Isiwara AUTHOR|(CDS)2860944 AUTHOR|(SzGeCERN)868962 isiwara.welikadage@cern.ch CMS Muon Condition Data Automation CMS: Compact Muon Solenoid Abbreviation 2023 CERN Geneva 04 Aug 2023 CMS Muon Condition Data Automation project implies processing raw data coming from the “CMS non-physics event bus” such as detector currents and rates, environmental parameters, and gas flows, performing in-built analysis studies in the data-streaming by making correlations between detector and condition parameters and preparing final format data for being easily displayed on front-end frameworks such as CMS OMS (Online Monitoring System), RPC General Webpage or others. The summer student project is devoted to creating the graphical front layer and the navigation layers of the CMS RPC General webpage which aims at being a single-entry point to various RPC field areas, including the visualization of RPC condition data during the operation data-taking period, provided by the Muon condition data automation. CERN EDS SzGeCERN Detectors and Experimental Techniques SzGeCERN Computing and Computers CMS: Compact Muon Solenoid CERN OMS: Online Monitoring System CERN RPC: Resistive Plate Chambers CERN CERN INTNOTE PUBLEP CMS EP CERN. Geneva. EP Department http://cds.cern.ch/record/2866817/files/CERN_Summer_Project_Report_Isiwara.pdf Access to fulltext 2468274 2027016 isiwara.welikadage@cern.ch Dimitrov, A Petkov, P n 202331 12 PUBLIC https://repository.cern/legacy/record/2866817 INTNOTEEPPUBL NOTE MIGRATED 2866739 20260210081312.0 oai:cds.cern.ch:2866739 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI APS 10.1103/PhysRevResearch.5.043210 publication arXiv oai:arXiv.org:2301.04173 oai:inspirehep.net:2622352 https://inspirehep.net/api/oai2d Inspire 2026-02-09T12:56:32Z 2026-02-10T03:02:11Z marcxml true Inspire 2622352 arXiv arXiv:2301.04173 quant-ph eng Di Bartolomeo, Giovanni ORCID:0000-0002-1792-7043 Trieste U. INFN, Trieste Department of Physics, University of Trieste, Strada Costiera 11, 34151 Trieste, Italy Istituto Nazionale di Fisica Nucleare, Trieste Section, Via Valerio 2, 34127 Trieste, Italy APS Noisy gates for simulating quantum computers arXiv A novel approach to noisy gates for simulating quantum computers 2023-12-06 2023-01-10 19 p APS We present a novel method for simulating the noisy behavior of quantum computers, which allows to efficiently incorporate environmental effects in the driven evolution implementing the gates acting on the qubits. We show how to modify the noiseless gate executed by the computer to include any Markovian noise, hence resulting in what we will call a noisy gate. We compare our method with the IBM qiskit simulator, and show that it follows more closely both the analytical solution of the Lindblad equation as well as the behavior of a real quantum computer, where we ran algorithms involving up to 18 qubits; as such, our protocol offers a more accurate simulator for NISQ devices. The method is flexible enough to potentially describe any noise, including non-Markovian ones. The noise simulator based on this work is available as a python package at the link, https://pypi.org/project/quantum-gates. arXiv We present a novel method for simulating the noisy behaviour of quantum computers, which allows to efficiently incorporate environmental effects in the driven evolution implementing the gates acting on the qubits. We show how to modify the noiseless gate executed by the computer to include any Markovian noise, hence resulting in what we will call a noisy gate. We compare our method with the IBM Qiskit simulator, and show that it follows more closely both the analytical solution of the Lindblad equation as well as the behaviour of a real quantum computer, where we ran algorithms involving up to 18 qubits; as such, our protocol offers a more accurate simulator for NISQ devices. The method is flexible enough to potentially describe any noise, including non-Markovian ones. The noise simulator based on this work is available as a python package at this link: https://pypi.org/project/quantum-gates. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication CC BY 4.0 https://creativecommons.org/licenses/by/4.0/ Other publication authors 2023 QR 2023-03-31 full QR 2023-04-05 printed arXiv quant-ph SzGeCERN General Theoretical Physics CERN ARTICLE Vischi, Michele ORCID:0000-0002-5724-7421 Trieste U. INFN, Trieste Department of Physics, University of Trieste, Strada Costiera 11, 34151 Trieste, Italy Istituto Nazionale di Fisica Nucleare, Trieste Section, Via Valerio 2, 34127 Trieste, Italy Cesa, Francesco Trieste U. INFN, Trieste Department of Physics, University of Trieste, Strada Costiera 11, 34151 Trieste, Italy Istituto Nazionale di Fisica Nucleare, Trieste Section, Via Valerio 2, 34127 Trieste, Italy Wixinger, Roman ORCID:0000-0001-7113-4370 Zurich, ETH Institute of Particle Physics and Astrophysics, ETH Zürich, Zürich 8093, Switzerland Grossi, Michele ORCID:0000-0003-1718-1314 CERN European Organization for Nuclear Research (CERN), Geneva 1211, Switzerland Donadi, Sandro ORCID:0000-0001-6290-5065 INFN, Trieste Istituto Nazionale di Fisica Nucleare, Trieste Section, Via Valerio 2, 34127 Trieste, Italy Bassi, Angelo ORCID:0000-0001-7500-387X Trieste U. INFN, Trieste Department of Physics, University of Trieste, Strada Costiera 11, 34151 Trieste, Italy Istituto Nazionale di Fisica Nucleare, Trieste Section, Via Valerio 2, 34127 Trieste, Italy 043210 publication 4 Phys. Rev. Res. 5 2023 2467678 29782 http://cds.cern.ch/record/2866739/files/Fidelity_CR_poster.png 00015 Fidelities $\cl{F}^{\text{ng}}$, in blue, and $\cl{F}^{\text{ibm}}$, in red, as a function of time, for a repetition of CR gates. The left and right panel have the same meaning as for Fig.\ref{fidelities_X}. 2467679 37585 http://cds.cern.ch/record/2866739/files/Fidelity_X_poster.png 00009 Fidelity (on the top) and Hellinger distance (on the bottom) for the X gate for $100$ independent simulations of the two methods considered: on the left, the fidelity and Hellinger distance of the Noisy Gates method (in blue) and of the Qiskit simulations (in red) with the numerical solution of the Lindblad; On the right, the mean of the same simulations and their standard deviation.Fidelities $\cl{F}^{\text{ng}}$, in blue, and $\cl{F}^{\text{ibm}}$, in red, as a function of time, for a repetition of X gates. On the left panel, the fidelities obtained from $100$ independent runs of the two methods are pictured (for better readability only five are shown), where each simulation is obtained by averaging over $1000$ samples. On the right panel, the means $\Bar{\cl{F}}^{\text{ng}}$, $\Bar{\cl{F}}^{\text{ibm}}$ of the same simulations and their standard deviations $\Delta\cl{F}^{\text{ng}}$, $\Delta\cl{F}^{\text{ibm}}$ are displayed. 2467680 23444 http://cds.cern.ch/record/2866739/files/Plot_r22_ibm_1000.png 00007 Time evolution of the $\rho_{22}$ entry of the density matrix for the $\rr{CR}$ gate with $\theta=\pi$ and $\phi=0$. Colors have the same meaning as for Fig.~\ref{rho00_Xgate}. Vertical dashed lines represent the time scales of relaxation, $T_1$ (in green) and $T_2$ (in yellow) of the target qubit, and depolarization $T_d$ (grey). The noisy gates simulations reproduce qualitatively better the time evolution obtained from the direct numerical solution of the Lindblad equation. 2467681 97174 http://cds.cern.ch/record/2866739/files/Fidelity_X_all.png 00008 Fidelity (on the top) and Hellinger distance (on the bottom) for the X gate for $100$ independent simulations of the two methods considered: on the left, the fidelity and Hellinger distance of the Noisy Gates method (in blue) and of the Qiskit simulations (in red) with the numerical solution of the Lindblad; On the right, the mean of the same simulations and their standard deviation.Fidelities $\cl{F}^{\text{ng}}$, in blue, and $\cl{F}^{\text{ibm}}$, in red, as a function of time, for a repetition of X gates. On the left panel, the fidelities obtained from $100$ independent runs of the two methods are pictured (for better readability only five are shown), where each simulation is obtained by averaging over $1000$ samples. On the right panel, the means $\Bar{\cl{F}}^{\text{ng}}$, $\Bar{\cl{F}}^{\text{ibm}}$ of the same simulations and their standard deviations $\Delta\cl{F}^{\text{ng}}$, $\Delta\cl{F}^{\text{ibm}}$ are displayed. 2467682 91938 http://cds.cern.ch/record/2866739/files/Hellinger_CR_all.png 00010 Hellinger distances $\cl{H}^{\text{ng}}$, in blue, and $\cl{H}^{\text{ibm}}$, in red, as a function of time, for a repetition of CR gates. The top and bottom panel have the same meaning as for Fig.\ref{hellinger_X}. 2467683 21989 http://cds.cern.ch/record/2866739/files/Plot_r22_ng_1000.png 00006 Time evolution of the $\rho_{22}$ entry of the density matrix for the $\rr{CR}$ gate with $\theta=\pi$ and $\phi=0$. Colors have the same meaning as for Fig.~\ref{rho00_Xgate}. Vertical dashed lines represent the time scales of relaxation, $T_1$ (in green) and $T_2$ (in yellow) of the target qubit, and depolarization $T_d$ (grey). The noisy gates simulations reproduce qualitatively better the time evolution obtained from the direct numerical solution of the Lindblad equation. 2467684 19464 http://cds.cern.ch/record/2866739/files/Plot_r22_meq_1000.png 00005 Time evolution of the $\rho_{22}$ entry of the density matrix for the $\rr{CR}$ gate with $\theta=\pi$ and $\phi=0$. Colors have the same meaning as for Fig.~\ref{rho00_Xgate}. Vertical dashed lines represent the time scales of relaxation, $T_1$ (in green) and $T_2$ (in yellow) of the target qubit, and depolarization $T_d$ (grey). The noisy gates simulations reproduce qualitatively better the time evolution obtained from the direct numerical solution of the Lindblad equation. 2467685 30701 http://cds.cern.ch/record/2866739/files/Hellinger_X_poster.png 00004 Hellinger distances $\cl{H}^{\text{ng}}$, in blue, and $\cl{H}^{\text{ibm}}$, in red, as a function of time, for a repetition of X gates. On the top panel, the Hellinger distances obtained from $100$ independent runs of the two methods are pictured (for better readability only five are shown), where each simulation is obtained by averaging over $1000$ samples. On the bottom panel, the means $\Bar{\cl{H}}^{\text{ng}}$, $\Bar{\cl{H}}^{\text{ibm}}$ of the same simulations and their standard deviations $\Delta\cl{H}^{\text{ng}}$, $\Delta\cl{H}^{\text{ibm}}$ are displayed. 2467686 120844 http://cds.cern.ch/record/2866739/files/Hellinger_X_all.png 00003 Hellinger distances $\cl{H}^{\text{ng}}$, in blue, and $\cl{H}^{\text{ibm}}$, in red, as a function of time, for a repetition of X gates. On the top panel, the Hellinger distances obtained from $100$ independent runs of the two methods are pictured (for better readability only five are shown), where each simulation is obtained by averaging over $1000$ samples. On the bottom panel, the means $\Bar{\cl{H}}^{\text{ng}}$, $\Bar{\cl{H}}^{\text{ibm}}$ of the same simulations and their standard deviations $\Delta\cl{H}^{\text{ng}}$, $\Delta\cl{H}^{\text{ibm}}$ are displayed. 2467687 24504 http://cds.cern.ch/record/2866739/files/histogram_GHZ_4qubits.png 00016 On the left panel, probabilities histograms for 4 qubits of a single independent simulation of the GHZ algorithm. In orange the results for $\text{ibmq\_oslo}$, in blue for the noisy gates and in red for the Qiskit simulator. On the right panel, Hellinger distance for the GHZ algorithm for $n = 2,\dots, 5$ qubits. Each value is the mean of $100$ independent simulations for the noisy gates, in blue, and for the Qiskit simulations, in red. 2467688 25921 http://cds.cern.ch/record/2866739/files/histogram_QFT_4qubits.png 00012 Probabilities histograms for 4 qubits of a single independent simulation of the QFT$^{\dagger}$ algorithm. The results for $\text{ibmq\_kolkata}$ are shown in orange, those of the noisy gate approach in blue and those of the Qiskit simulator in red. 2467689 28175 http://cds.cern.ch/record/2866739/files/Hellinger_CR_poster.png 00011 Hellinger distances $\cl{H}^{\text{ng}}$, in blue, and $\cl{H}^{\text{ibm}}$, in red, as a function of time, for a repetition of CR gates. The top and bottom panel have the same meaning as for Fig.\ref{hellinger_X}. 2467690 22028 http://cds.cern.ch/record/2866739/files/Plot_r00_ibm_1000.png 00002 Time evolution of the $\rho_{00}$ entry of the density matrix for a repetition of X gates. The numerical solution of the Lindblad equation is displayed in orange, that of the noisy gates simulation in blue, and that of the Qiskit simulation in red. Noisy gates and Qiskit simulations are obtained with 1000 samples, and qualitatively they reproduce the time evolution of the Lindblad equation. Vertical dashed lines represent the time scales of relaxation $T_1$ (green), $T_2$ (yellow) and depolarization $T_d$ (grey). 2467691 29003 http://cds.cern.ch/record/2866739/files/Hellinger_GHZ.png 00017 On the left panel, probabilities histograms for 4 qubits of a single independent simulation of the GHZ algorithm. In orange the results for $\text{ibmq\_oslo}$, in blue for the noisy gates and in red for the Qiskit simulator. On the right panel, Hellinger distance for the GHZ algorithm for $n = 2,\dots, 5$ qubits. Each value is the mean of $100$ independent simulations for the noisy gates, in blue, and for the Qiskit simulations, in red. 2467692 32938 http://cds.cern.ch/record/2866739/files/Hellinger_QFT_poster.png 00013 Hellinger distance for the QFT$^\dagger$ algorithm for $n = 2,\dots, 18$ qubits. Each value is the mean of $100$ independent simulations for the noisy gates, in blue, and for the Qiskit simulations, in red. 2467693 19306 http://cds.cern.ch/record/2866739/files/Plot_r00_meq_1000.png 00000 Time evolution of the $\rho_{00}$ entry of the density matrix for a repetition of X gates. The numerical solution of the Lindblad equation is displayed in orange, that of the noisy gates simulation in blue, and that of the Qiskit simulation in red. Noisy gates and Qiskit simulations are obtained with 1000 samples, and qualitatively they reproduce the time evolution of the Lindblad equation. Vertical dashed lines represent the time scales of relaxation $T_1$ (green), $T_2$ (yellow) and depolarization $T_d$ (grey). 2467694 1975144 http://cds.cern.ch/record/2866739/files/2301.04173.pdf Fulltext 2467695 21213 http://cds.cern.ch/record/2866739/files/Plot_r00_ng_1000.png 00001 Time evolution of the $\rho_{00}$ entry of the density matrix for a repetition of X gates. The numerical solution of the Lindblad equation is displayed in orange, that of the noisy gates simulation in blue, and that of the Qiskit simulation in red. Noisy gates and Qiskit simulations are obtained with 1000 samples, and qualitatively they reproduce the time evolution of the Lindblad equation. Vertical dashed lines represent the time scales of relaxation $T_1$ (green), $T_2$ (yellow) and depolarization $T_d$ (grey). 2467696 104691 http://cds.cern.ch/record/2866739/files/Fidelity_CR_all.png 00014 Fidelities $\cl{F}^{\text{ng}}$, in blue, and $\cl{F}^{\text{ibm}}$, in red, as a function of time, for a repetition of CR gates. The left and right panel have the same meaning as for Fig.\ref{fidelities_X}. 2499269 1597034 http://cds.cern.ch/record/2866739/files/Publication.pdf Fulltext 13 ARTICLE 2871720 20250515232501.0 oai:cds.cern.ch:2871720 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN Inspire 2711757 CERN-THESIS-2023-159 eng AUTHOR|(CDS)2106001 AUTHOR|(SzGeCERN)784744 Baginova, Miloslava miloslava.baginova@cern.ch Comenius University (SK) Monte Carlo simulations of detectors background in underground laboratories 85 p Presented 24 Aug 2023 PhD Comenius University 2023-04-25 Interactions of neutrons with a high-purity germanium detector were studied experimentally and by simulations using the GEANT4 tool. Elastic and inelastic scattering of fast neutrons as well as neutron capture on Ge nuclei were observed. Peaks induced by inelastic scattering of neutrons on 70Ge, 72Ge, 73Ge, 74Ge and 76Ge were well visible in the γ-ray spectra. In addition, peaks due to inelastic scattering of neutrons on copper and lead nuclei, including the well-known peak of 208Pb at 2614.51 keV, were detected. The GEANT4 simulations showed that the simulated spectrum was in a good agreement with the experimental one. Differences between the simulated and the measured spectra were due to the high γ-ray intensity of the used neutron source, the physics implemented in GEANT4 and contamination of the 241Am-Be neutron source. Next, investigation of neutron-induced background was carried out by studying interactions of cosmic ray neutrons with an HPGe detector inside its shield placed on a ground floor of a 3-storey building. The study was conducted experimentally and by Monte Carlo simulations using GEANT4 simulation tool. Detailed analysis of measured background γ-ray spectra showed that many γ-lines visible in the spectra were induced by neutrons. The majority of detected γ-rays originated in germanium, copper, lead and tin. Iron and aluminium components were less important background sources. Inelastic scattering and neutron capture were the most often occurring processes of neutron interactions with the detector and its shielding. The contamination by natural radionuclides, particularly by 40K, 214Pb, 214Bi and 208Tl, was also present in the background spectra. Nevertheless, approximately 35% of the frequently observed 208Tl peak at the energy of 2614.51 keV was produced by inelastic scattering of neutrons on 208Pb nuclei. The experimental background was compared with GEANT4 simulations, which were carried out without and with the shielding layer of the building. The final integral count rates for the measured spectrum in the energy range from 50 keV to 2875 keV was 1.26 ± 0.07 s−1 and for the simulated one 1.25 ± 0.13 s−1, indicating a good agreement of simulation with the experiment and validating the tool. Finally, the background of an HPGe detector measured in a deep underground laboratory was investigated analytically and by Monte Carlo simulations using the GEANT4 toolkit. Contributions of different background sources to the experimental γ-ray background were determined. Namely, contribution of radionuclides in the materials of the detector and around the detector, neutrons produced in (α, n) reactions due to presence of radionuclides in concrete and rock, by spontaneous fission of mainly 238U, and finally, cosmic rays with neutron generation. The simulation, including radionuclides in the material, was in a good agreement with the experiment. At the same time, background spectra induced by neutrons and muons were simulated separately. The radiation coming from the presence of members of the 238U, and 232Th decay series, and 40K in the detector parts and the laboratory walls contribute to the continuum of the experimental spectrum at the level of around 94%. According to simulations, the contribution of muon events to the experimental energy spectrum was below 1% and it was confirmed that muon induced spectra are about three orders of magnitude lower than the experimental one. The comparison of integral count rates of the experimental spectrum with the simulated spectrum induced by neutrons showed that about 6% of the measured background continuum originated from neutron reactions. Fast neutrons contributed more to the background (at around 65%) than thermal neutrons. Despite only a 6% share of neutron contributions in the total -ray background, they contributed mainly to the lower continuum of the spectrum up to 250 keV, which is a region of interest for potential low mass weakly interacting massive particle (WIMP) dark matter interactions. In addition, they interact with the detector and the shield by inelastic scattering and induce unwanted γ-rays. Neutron capture, elastic and inelastic scattering were simulated separately as well. It was found that inelastic scattering is the major contributor to the spectrum induced by neutrons. The effect of neutrons on the background of the HPGe detector operating underground, such as Obelix, is manifested mainly by their contribution to the continuum up to 1 9 MeV, especially in the lower part up to 500 keV. Thus, neutrons are an important background component in deep underground laboratories, too. Possible detector optimization is also discussed. In order to build an underground laboratory in Slovakia for astrophysical and environmental radioactivity studies, calculations of the muon vertical energy spectrum in 1000 m w.e. and 50 m w.e. were carried out. The muon-induced backgrounds of a HPGe detector with a relative efficiency of 100% were simulated in both depths. The complete geometry of the HPGe detector was coded in GEANT4 including the low-level shield. Gamma lines coming from neutron interactions with the detector and its shield seen in the simulated background spectra were analysed and evaluated. It was found that in the background spectrum simulated in the 50 m w.e. shallow laboratory, the copper peaks are prevailing. In the background spectrum simulated in the 1000 m w.e. deep laboratory, the germanium peaks are prevailing up to 1500 keV, but above 1500 keV the copper peaks dominate. The simulated background spectra were compared and it was found that a depth of 1000 m w.e. is sufficient to reduce the cosmic-ray induced background by five orders of magnitude. The number of visible peaks coming from neutron interactions in the background spectrum simulated for the shallow laboratory in the depth of 50 m w.e. is higher than in the 1000 m w.e. deep laboratory, as expected. Comparison of count rates of individual peaks for both spectra were carried out as well. Use of copper in the detector shield for HPGe detectors located in underground laboratories is not recommended as far as background induction by cosmic rays is concerned. The effect of natural radioactivity in planned Slovak laboratory was estimated. The contribution of natural radionuclides to the total background continuum would be about 40% at the depth of 1000 m w.e. and 10% at 50 m w.e. using HPGe detector with relative efficiency of 100%. Selection of ultra-high purity materials for the detector and shield construction was recommended with the aim to minimize the contribution of γ-rays from natural radionuclides to the background spectrum. The detection limits for 137Cs in a hypothetical sample was determined in both depths. It would be 7.3 mBq and 0.54 mBq in the 50 m w.e. and 1000 m w.e. laboratory, respectively. The detection limit would decrease by one order of magnitude at most if the laboratory would be built in the 1000 m w.e. depth compared to the depth of 50 m w.e. CERN Doctoral Student Program CERN EDS SzGeCERN Detectors and Experimental Techniques SzGeCERN Nuclear Physics - Experiment CERN THESIS Not applicable Not applicable Not applicable Vojtyla, Pavol CERN dir. Povinec, Pavel Comenius University dir. HSE 2477438 13705869 http://cds.cern.ch/record/2871720/files/CERN-THESIS-2023-159.pdf miloslava.baginova@cern.ch n 202338 a2023 14 PUBLIC https://repository.cern/legacy/record/2871720 THESIS MIGRATED 2871498 20250120183524.0 oai:cds.cern.ch:2871498 cerncds:FULLTEXT CERN-STUDENTS-Note-2023-141 eng Islek, Uzay Tan AUTHOR|(CDS)2857681 AUTHOR|(SzGeCERN)868385 uzay.tan.islek@cern.ch Studies on Production of Impurities in Gaseous Detectors Operated with Fluorinated Gases 2023 CERN Geneva 18 Sep 2023 Large Hadron Collider (LHC) experiments at CERN involve various detectors which are operated with fluorinated gases. Resistive Plate Chambers (RPCs) and Cathode Strip Chambers (CSCs) can be given as such gaseous detectors. The use of fluorinated gases diminishes ageing effects for CSCs, whilst enhancing RPC efficiency, but causing performance issues over long periods. The operation of such detectors at LHC conditions alters the chemical composition of the gas mixtures in use, thus changing detector performances. A laboratory setup was prepared at Building 904 to allow for Ion Selective Electrode (ISE) measurements to be carried out with a simple straw tube detector setup, to analyse the behaviour of CSC gas mixtures at different conditions and determine the applicability of ISE measurements to analyse CSC detectors. Measurements quantifying the fluoride ion output of the straw and environmental conditions were carried out. These were successful in characterising impurity production in standard CSC gas mixtures. The findings were used to analyse the link between fluoride ion production rate and different gas mixtures in use. The studies allowed for initial fluoride ion production rates to be calculated at a flow rate of (0.5 ± 0.05)l/h, with detector currents of (0.350 ± 0.001)μA, and a 235MBq 90Sr beta source. The studies showed that carbon tetrafluoride percentages of 10% and 7% did not have significantly different fluoride production rates. CERN EDS SzGeCERN Detectors and Experimental Techniques RPC CERN CSC CERN ISE CERN fluoride ion CERN fluorine radical CERN production rate CERN CERN INTNOTE PUBLEP EP CERN. Geneva. EP Department http://cds.cern.ch/record/2871498/files/Uzay Tan Islek - 2023 CERN Summer Student Project Report.pdf Access to fulltext 2476916 6896066 kristin.jorgensen.erdal@cern.ch Rigoletti, G. Kuznetsova, K. Mandelli, B. n 202338 12 PUBLIC https://repository.cern/legacy/record/2871498 INTNOTEEPPUBL NOTE MIGRATED 2870701 20230914222241.0 oai:cds.cern.ch:2870701 cerncds:FULLTEXT LHCb-TALK-2023-241 eng Rademacker, Jonas AUTHOR|(CDS)2074195 AUTHOR|(SzGeCERN)484179 University of Bristol (GB) jonas.rademacker@bristol.ac.uk FH Sustainability Forum zoom, virtual 11 Sep 2023 https://indico.desy.de/event/40852/ Environmental Impact of LHCb 2023 CERN Geneva 2023-09-11 jonas.rademacker@bristol.ac.uk LHCb CERN Talk CERN LHCbTALK 2476053 27558364 http://cds.cern.ch/record/2870701/files/LHCbCarbonFootprint_SustHEPWS2021_JR.pdf 2476053 5664 http://cds.cern.ch/record/2870701/files/LHCbCarbonFootprint_SustHEPWS2021_JR.gif?subformat=icon icon 2476053 7169 http://cds.cern.ch/record/2870701/files/LHCbCarbonFootprint_SustHEPWS2021_JR.jpg?subformat=icon-180 icon-180 lhcb.secretariat@cern.ch PUBLIC LHCbCERNTALK Slides 2870360 20230914222209.0 oai:cds.cern.ch:2870360 cerncds:FULLTEXT OPEN-PHO-LIFE-2023-064 Poulaillon, Jimmy AUTHOR|(CDS)2812282 AUTHOR|(SzGeCERN)860148 Universite de Geneve (CH) jimmy.poulaillon@cern.ch CBI Fusion Point 2023 - First Visit 2023 Geneva CERN 2023-09-12 General Photo The first fall students from Esade, IED Barcelona, and UPC, arrived at IdeaSquare to focus on challenges around water and air pollution. They are digging into these societal challenges to try to find efficient and implementable solutions for reducing air pollutants, microplastics in oceans or reducing our carbon emissions footprint, tackling SDG 3.9 "Reduce illnesses and death from hazardous chemicals and pollution", SDG 11.6 "Reduce environmental impact of cities", SDG 14.1 "Reduce marine pollution" and SDG 14.3 "Reduce ocean acidification". During the week, the interdisciplinary student teams visited CERN experiments and SDG Solution Space and explored previous prototyping journeys while working on theirs. CERN 2023 CERN EDS OPEN SzGeCERN Open SzGeCERN Life at CERN Ideasquare CERN innovation CERN students CERN sustainability CERN Life at CERN CERN CERN PHOTO 2475592 1027448 http://cds.cern.ch/record/2870360/files/IMG_3360.jpg 2475593 912646 http://cds.cern.ch/record/2870360/files/IMG_3361.jpg 2475594 828972 http://cds.cern.ch/record/2870360/files/IMG_3362.jpg 2475595 652597 http://cds.cern.ch/record/2870360/files/IMG_3363.jpg 2475596 893979 http://cds.cern.ch/record/2870360/files/IMG_3364.jpg 2475597 904801 http://cds.cern.ch/record/2870360/files/IMG_3365.jpg 2475598 786041 http://cds.cern.ch/record/2870360/files/IMG_3368.jpg 2475599 789323 http://cds.cern.ch/record/2870360/files/IMG_3369.jpg 2475600 897033 http://cds.cern.ch/record/2870360/files/IMG_3372.jpg 2475592 247165 http://cds.cern.ch/record/2870360/files/IMG_3360.jpg?subformat=icon-640 icon-640 2475592 713809 http://cds.cern.ch/record/2870360/files/IMG_3360.jpg?subformat=icon-1440 icon-1440 2475592 87440 http://cds.cern.ch/record/2870360/files/IMG_3360.jpg?subformat=icon-180 icon-180 2475593 218834 http://cds.cern.ch/record/2870360/files/IMG_3361.jpg?subformat=icon-640 icon-640 2475593 640407 http://cds.cern.ch/record/2870360/files/IMG_3361.jpg?subformat=icon-1440 icon-1440 2475593 79432 http://cds.cern.ch/record/2870360/files/IMG_3361.jpg?subformat=icon-180 icon-180 2475594 202846 http://cds.cern.ch/record/2870360/files/IMG_3362.jpg?subformat=icon-640 icon-640 2475594 588885 http://cds.cern.ch/record/2870360/files/IMG_3362.jpg?subformat=icon-1440 icon-1440 2475594 74131 http://cds.cern.ch/record/2870360/files/IMG_3362.jpg?subformat=icon-180 icon-180 2475595 176928 http://cds.cern.ch/record/2870360/files/IMG_3363.jpg?subformat=icon-640 icon-640 2475595 481877 http://cds.cern.ch/record/2870360/files/IMG_3363.jpg?subformat=icon-1440 icon-1440 2475595 70110 http://cds.cern.ch/record/2870360/files/IMG_3363.jpg?subformat=icon-180 icon-180 2475596 190251 http://cds.cern.ch/record/2870360/files/IMG_3364.jpg?subformat=icon-640 icon-640 2475596 584914 http://cds.cern.ch/record/2870360/files/IMG_3364.jpg?subformat=icon-1440 icon-1440 2475596 72669 http://cds.cern.ch/record/2870360/files/IMG_3364.jpg?subformat=icon-180 icon-180 2475597 188245 http://cds.cern.ch/record/2870360/files/IMG_3365.jpg?subformat=icon-640 icon-640 2475597 585755 http://cds.cern.ch/record/2870360/files/IMG_3365.jpg?subformat=icon-1440 icon-1440 2475597 68600 http://cds.cern.ch/record/2870360/files/IMG_3365.jpg?subformat=icon-180 icon-180 2475598 202354 http://cds.cern.ch/record/2870360/files/IMG_3368.jpg?subformat=icon-640 icon-640 2475598 566584 http://cds.cern.ch/record/2870360/files/IMG_3368.jpg?subformat=icon-1440 icon-1440 2475598 76355 http://cds.cern.ch/record/2870360/files/IMG_3368.jpg?subformat=icon-180 icon-180 2475599 202859 http://cds.cern.ch/record/2870360/files/IMG_3369.jpg?subformat=icon-640 icon-640 2475599 562806 http://cds.cern.ch/record/2870360/files/IMG_3369.jpg?subformat=icon-1440 icon-1440 2475599 77505 http://cds.cern.ch/record/2870360/files/IMG_3369.jpg?subformat=icon-180 icon-180 2475600 169260 http://cds.cern.ch/record/2870360/files/IMG_3372.jpg?subformat=icon-640 icon-640 2475600 558333 http://cds.cern.ch/record/2870360/files/IMG_3372.jpg?subformat=icon-1440 icon-1440 2475600 65018 http://cds.cern.ch/record/2870360/files/IMG_3372.jpg?subformat=icon-180 icon-180 jimmy.poulaillon@cern.ch n 202337 CERN IdeaSquare 86 VISIBLE PHOTOOPEN 2878376 20260227043831.0 oai:cds.cern.ch:2878376 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI 10.1103/PhysRevLett.132.083402 arXiv oai:arXiv.org:2310.08760 oai:inspirehep.net:2710590 https://inspirehep.net/api/oai2d Inspire 2026-02-26T21:00:08Z 2026-02-27T03:00:29Z marcxml true Inspire 2710590 arXiv arXiv:2310.08760 physics.atom-ph eng Glöggler, L.T. ORCID:0000-0003-0194-8680 ROR:https://ror.org/01ggx4157 CERN Physics Department, CERN, 1211 Geneva 23, Switzerland APS Positronium Laser Cooling via the <math display="inline"><mrow><msup><mrow><mn>1</mn></mrow><mrow><mn>3</mn></mrow></msup><mi>S</mi><mtext>-</mtext><msup><mrow><mn>2</mn></mrow><mrow><mn>3</mn></mrow></msup><mi>P</mi></mrow></math> Transition with a Broadband Laser Pulse arXiv Positronium laser cooling via the $1^3S$-$2^3P$ transition with a broadband laser pulse 2024-02-22 2023-10-12 7 p APS We report on laser cooling of a large fraction of positronium (Ps) in free flight by strongly saturating the <math display="inline"><mrow><msup><mrow><mn>1</mn></mrow><mrow><mn>3</mn></mrow></msup><mi>S</mi><mtext>-</mtext><msup><mrow><mn>2</mn></mrow><mrow><mn>3</mn></mrow></msup><mi>P</mi></mrow></math> transition with a broadband, long-pulsed 243 nm alexandrite laser. The ground state Ps cloud is produced in a magnetic and electric field-free environment. We observe two different laser-induced effects. The first effect is an increase in the number of atoms in the ground state after the time Ps has spent in the long-lived <math display="inline"><mrow><msup><mrow><mn>2</mn></mrow><mrow><mn>3</mn></mrow></msup><mi>P</mi></mrow></math> states. The second effect is one-dimensional Doppler cooling of Ps, reducing the cloud’s temperature from 380(20) to 170(20) K. We demonstrate a 58(9)% increase in the fraction of Ps atoms with <math display="inline"><mrow><msub><mrow><mi>v</mi></mrow><mrow><mn>1</mn><mtext>D</mtext></mrow></msub><mo>&lt;</mo><mn>3.7</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mn>4</mn></mrow></msup><mtext> </mtext><mtext> </mtext><mi mathvariant="normal">m</mi><msup><mrow><mi mathvariant="normal">s</mi></mrow><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></math>. arXiv We report on laser cooling of a large fraction of positronium (Ps) in free-flight by strongly saturating the $1^3S$-$2^3P$ transition with a broadband, long-pulsed 243 nm alexandrite laser. The ground state Ps cloud is produced in a magnetic and electric field-free environment. We observe two different laser-induced effects. The first effect is an increase in the number of atoms in the ground state after the time Ps has spent in the long-lived $3^3P$ states. The second effect is the one-dimensional Doppler cooling of Ps, reducing the cloud's temperature from 380(20) K to 170(20) K. We demonstrate a 58(9) % increase in the coldest fraction of the Ps ensemble. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication CC BY 4.0 CERN-RP: APS https://creativecommons.org/licenses/by/4.0/ publication authors 2024 arXiv hep-ex SzGeCERN Particle Physics - Experiment arXiv physics.atom-ph SzGeCERN Other Fields of Physics CERN ARTICLE CERN AEgIS Gusakova, N. ORCID:0000-0002-8064-8039 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/05xg72x27 CERN Norwegian U. Sci. Tech. Physics Department, CERN, 1211 Geneva 23, Switzerland Department of Physics, NTNU, Norwegian University of Science and Technology, Trondheim, Norway Rienäcker, B. ORCID:0000-0002-3836-7030 rienaec@liverpool.ac.uk ROR:https://ror.org/04xs57h96 Liverpool U. Department of Physics, University of Liverpool, Liverpool L69 3BX, United Kingdom Camper, A. ORCID:0000-0002-8664-3693 antoine.camper@fys.uio.no ROR:https://ror.org/01xtthb56 Oslo U. Department of Physics, University of Oslo, Sem Sælandsvei 24, 0371 Oslo, Norway Caravita, R. ORCID:0000-0002-8189-8814 uggero.caravita@cern.ch ROR:https://ror.org/00nhs3j29 TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Huck, S. ORCID:0009-0000-6260-6516 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/00g30e956 CERN Hamburg U. Physics Department, CERN, 1211 Geneva 23, Switzerland Institute for Experimental Physics, Universität Hamburg, 22607 Hamburg, Germany Volponi, M. ORCID:0000-0002-5048-8708 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/00nhs3j29 CERN Trento U. TIFPA-INFN, Trento Physics Department, CERN, 1211 Geneva 23, Switzerland TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy Wolz, T. ORCID:0000-0002-6810-2404 ROR:https://ror.org/01ggx4157 CERN Physics Department, CERN, 1211 Geneva 23, Switzerland Penasa, L. ORCID:0000-0003-3117-5826 Trento U. TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy Krumins, V. ORCID:0000-0002-2689-7421 ROR:https://ror.org/01ggx4157 CERN Physics Department, CERN, 1211 Geneva 23, Switzerland University of Latvia, Department of Physics Raina boulevard 19, LV-1586 Riga, Latvia Gustafsson, F.P. ORCID:0000-0003-2063-4310 ROR:https://ror.org/01ggx4157 CERN Physics Department, CERN, 1211 Geneva 23, Switzerland Comparat, D. ORCID:0000-0001-5884-2882 LAC, Orsay Université Paris-Saclay, CNRS, Laboratoire Aimé Cotton, 91405 Orsay, France Auzins, M. ORCID:0000-0002-4904-5766 ROR:https://ror.org/05g3mes96 Latvia U. University of Latvia, Department of Physics Raina boulevard 19, LV-1586 Riga, Latvia Bergmann, B. ORCID:0000-0002-8076-5614 ROR:https://ror.org/03kqpb082 CTU, Prague Institute of Experimental and Applied Physics, Czech Technical University in Prague, Husova 240/5, 110 00 Prague 1, Czech Republic Burian, P. ORCID:0000-0001-6907-7901 ROR:https://ror.org/03kqpb082 CTU, Prague Institute of Experimental and Applied Physics, Czech Technical University in Prague, Husova 240/5, 110 00 Prague 1, Czech Republic Brusa, R.S. ORCID:0000-0002-5239-7172 ROR:https://ror.org/00nhs3j29 Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy Castelli, F. ORCID:0000-0002-1485-6737 ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/00wjc7c48 INFN, Milan Milan U. INFN Milano, via Celoria 16, 20133 Milano, Italy Department of Physics “Aldo Pontremoli,” University of Milano, via Celoria 16, 20133 Milano, Italy Cerchiari, G. ORCID:0000-0003-3068-0425 Institut für Experimentalphysik, University of Innsbruck, Technikerstrasse 25, 6020 Innsbruck, Austria Ciuryło, R. ORCID:0000-0003-2638-0403 Torun, Copernicus Astron. Ctr. Institute of Physics, Faculty of Physics, Astronomy, and Informatics, Nicolaus Copernicus University in Torun, Grudziadzka 5, 87-100 Torun, Poland Consolati, G. ORCID:0000-0003-3614-245X ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/01nffqt88 INFN, Milan Milan, Polytech. Department of Aerospace Science and Technology, Politecnico di Milano, via La Masa 34, 20156 Milano, Italy INFN Milano, via Celoria 16, 20133 Milano, Italy Doser, M. ORCID:0000-0002-3618-0889 ROR:https://ror.org/01ggx4157 CERN Physics Department, CERN, 1211 Geneva 23, Switzerland Graczykowski, Ł. ORCID:0000-0002-4442-5727 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Faculty of Physics, ul. Koszykowa 75, 00-662 Warsaw, Poland Grosbart, M. ORCID:0009-0006-2580-8825 ROR:https://ror.org/01ggx4157 CERN Physics Department, CERN, 1211 Geneva 23, Switzerland Guatieri, F. ORCID:0000-0002-7153-585X ROR:https://ror.org/00nhs3j29 Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy Haider, S. ROR:https://ror.org/01ggx4157 CERN Physics Department, CERN, 1211 Geneva 23, Switzerland Janik, M.A. ORCID:0000-0001-9087-4665 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Faculty of Physics, ul. Koszykowa 75, 00-662 Warsaw, Poland Kasprowicz, G. ORCID:0000-0001-6128-0788 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Faculty of Electronics and Information Technology, ul. Nowowiejska 15/19, 00-665 Warsaw, Poland Khatri, G. ORCID:0000-0001-8901-3817 ROR:https://ror.org/01ggx4157 CERN Physics Department, CERN, 1211 Geneva 23, Switzerland Kłosowski, Ł. ORCID:0000-0002-5463-5381 Torun, Copernicus Astron. Ctr. Institute of Physics, Faculty of Physics, Astronomy, and Informatics, Nicolaus Copernicus University in Torun, Grudziadzka 5, 87-100 Torun, Poland Kornakov, G. ORCID:0000-0002-3652-6683 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Faculty of Physics, ul. Koszykowa 75, 00-662 Warsaw, Poland Lappo, L. ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Faculty of Physics, ul. Koszykowa 75, 00-662 Warsaw, Poland Linek, A. ORCID:0000-0002-0730-6200 Torun, Copernicus Astron. Ctr. Institute of Physics, Faculty of Physics, Astronomy, and Informatics, Nicolaus Copernicus University in Torun, Grudziadzka 5, 87-100 Torun, Poland Malamant, J. ORCID:0000-0001-8469-9928 ROR:https://ror.org/01xtthb56 Oslo U. Department of Physics, University of Oslo, Sem Sælandsvei 24, 0371 Oslo, Norway Mariazzi, S. ORCID:0000-0001-9985-8792 ROR:https://ror.org/00nhs3j29 Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy Petracek, V. ORCID:0000-0002-4057-3415 ROR:https://ror.org/03kqpb082 CTU, Prague Czech Technical University, Prague, Brehova 7, 11519 Prague 1, Czech Republic Piwiński, M. ORCID:0000-0001-5847-2578 Torun, Copernicus Astron. Ctr. Institute of Physics, Faculty of Physics, Astronomy, and Informatics, Nicolaus Copernicus University in Torun, Grudziadzka 5, 87-100 Torun, Poland Pospisil, S. ORCID:0000-0001-5424-9096 ROR:https://ror.org/03kqpb082 CTU, Prague Institute of Experimental and Applied Physics, Czech Technical University in Prague, Husova 240/5, 110 00 Prague 1, Czech Republic Povolo, L. ORCID:0000-0003-1451-1947 ROR:https://ror.org/00nhs3j29 Trento U. TIFPA-INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy Prelz, F. ORCID:0000-0003-1344-2716 ROR:https://ror.org/04w4m6z96 INFN, Milan INFN Milano, via Celoria 16, 20133 Milano, Italy Rangwala, S.A. ORCID:0000-0002-0480-6998 ROR:https://ror.org/01qdav448 Raman Research Inst., Bangalore Raman Research Institute, C. V. Raman Avenue, Sadashivanagar, Bangalore 560080, India Rauschendorfer, T. ORCID:0009-0001-0568-3950 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/03s7gtk40 CERN U. Leipzig (main) Physics Department, CERN, 1211 Geneva 23, Switzerland Felix Bloch Institute for Solid State Physics, Universität Leipzig, 04103 Leipzig, Germany Rawat, B.S. ORCID:0000-0002-6866-3148 ROR:https://ror.org/04xs57h96 ROR:https://ror.org/0089bg420 Liverpool U. Daresbury The Cockcroft Institute, Daresbury, Warrington WA4 4AD, United Kingdom Department of Physics, University of Liverpool, Liverpool L69 3BX, United Kingdom Rodin, V. ORCID:0000-0002-3602-881X ROR:https://ror.org/04xs57h96 Liverpool U. Department of Physics, University of Liverpool, Liverpool L69 3BX, United Kingdom Røhne, O.M. ORCID:0000-0001-7744-9584 ROR:https://ror.org/01xtthb56 Oslo U. Department of Physics, University of Oslo, Sem Sælandsvei 24, 0371 Oslo, Norway Sandaker, H. ORCID:0000-0001-5235-4095 ROR:https://ror.org/01xtthb56 Oslo U. Department of Physics, University of Oslo, Sem Sælandsvei 24, 0371 Oslo, Norway Smolyanskiy, P. ORCID:0000-0002-1122-1218 ROR:https://ror.org/03kqpb082 CTU, Prague Institute of Experimental and Applied Physics, Czech Technical University in Prague, Husova 240/5, 110 00 Prague 1, Czech Republic Sowiński, T. ORCID:0000-0002-7970-4371 ROR:https://ror.org/01n78t774 Cracow, INP Institute of Physics, Polish Academy of Sciences, Aleja Lotnikow 32/46, PL-02668 Warsaw, Poland Tefelski, D. ORCID:0000-0003-0802-2290 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Faculty of Physics, ul. Koszykowa 75, 00-662 Warsaw, Poland Vafeiadis, T. ORCID:0000-0003-1492-5007 ROR:https://ror.org/01ggx4157 CERN Physics Department, CERN, 1211 Geneva 23, Switzerland Welsch, C.P. ORCID:0000-0001-7085-0973 ROR:https://ror.org/04xs57h96 ROR:https://ror.org/0089bg420 Liverpool U. Daresbury The Cockcroft Institute, Daresbury, Warrington WA4 4AD, United Kingdom Department of Physics, University of Liverpool, Liverpool L69 3BX, United Kingdom Zawada, M. ORCID:0000-0002-2826-5129 Torun, Copernicus Astron. Ctr. Institute of Physics, Faculty of Physics, Astronomy, and Informatics, Nicolaus Copernicus University in Torun, Grudziadzka 5, 87-100 Torun, Poland Zielinski, J. ORCID:0000-0003-2729-5737 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Faculty of Physics, ul. Koszykowa 75, 00-662 Warsaw, Poland Zurlo, N. ORCID:0000-0002-7478-2493 ROR:https://ror.org/01st30669 INFN, Pavia Brescia U. INFN Pavia, via Bassi 6, 27100 Pavia, Italy Department of Civil, Environmental, Architectural Engineering and Mathematics, University of Brescia, via Branze 43, 25123 Brescia, Italy AEḡIS Collaboration 083402 publication 8 Phys. Rev. Lett. 132 2024 https://physics.aps.org/articles/v17/s23 Physics Synopsis https://interactions.org/press-release/aegis-experiment-paves-way-new-set-antimatter-studies-laser Interactions.org article 2489101 15797 http://cds.cern.ch/record/2878376/files/Fig1.png 00000 Simplified experimental scheme of the vacuum chamber where Ps is emitted from the \pos{}/Ps converter upon \pos{} implantation. The cooling laser ($\lambda_{243}$) and the two probing lasers pulses ($\lambda_{205}$ and $\lambda_{1064}$) enter and exit the chamber through view-ports. The $\mathrm{PbWO_4}$ crystal is represented in cyan, with the white rectangle above depicting the photo-multiplier tube. The photoionization laser ($\lambda_{1064}$) is injected under a slight angle, to avoid laser-induced damage to the dichroic mirror. 2489102 114334 http://cds.cern.ch/record/2878376/files/Fig4.png 00004 One-dimensional transverse Doppler profiles of the Ps cloud with (solid curve), and without (dotted curve) interaction with the \SI{243}{\nano\meter} cooling laser beam at a fixed frequency detuning of \SI{-200}{GHz}. The semi-transparent bands represent the statistical measurement error (one standard deviation of the average). 2489103 106950 http://cds.cern.ch/record/2878376/files/Fig5.png 00005 Number of Ps atoms with a velocity within the bandwidth of the \SI{205}{\nano\meter} probing laser, which is kept at resonance, as a function of the cooling laser frequency detuning, normalized to the number of Ps atoms in the absence of all lasers. The dashed horizontal line represents the reference population of Ps atoms in this velocity range with the cooling laser off. The amount of Ps atoms in the center increases by up to \SI{58\pm9}{\percent} at a cooling laser frequency detuning of \SI{-350}{\giga\hertz}. The semi-transparent bands represent the statistical uncertainties (one standard deviation of the average). 2489104 136856 http://cds.cern.ch/record/2878376/files/Fig2.png 00001 SSPALS spectra of Ps in vacuum without lasers (black dotted curve), \SI{205}{\nano\meter}+\SI{1064}{\nano\meter} lasers (red dashed curve), \SI{243}{\nano\meter} laser only (green dash-dotted curve), and all three lasers \SI{243}{\nano\meter}+\SI{205}{\nano\meter}+\SI{1064}{\nano\meter} (blue solid curve). The \SI{243}{\nano\meter} laser is firing during the time window from \SIrange{-20}{50}{ns} (green band), while the \SI{205}{\nano\meter}+\SI{1064}{\nano\meter} (red vertical line) are injected \SI{75}{\nano\second} after \pos{} implantation time ($t= \text{\SI{0}{\nano\second}}$). Each curve is an average of 90 individual spectra. For analysis, the window between \SI{150}{ns} and \SI{400}{ns} (light grey area) was used. 2489105 87588 http://cds.cern.ch/record/2878376/files/Fig3a.png 00002 Ps velocity distribution measured by SSPALS. \\ a) Transverse Doppler profile measured by two-photon resonant ionization (205 and \SI{1064}{\nano\meter} lasers) by means of the $S_{\text{205+1064}}$ parameter. A Gaussian fit yields a rms-width of \SI{44\pm1}{pm}, which translates to a Ps rms-velocity of \SI{5.3\pm0.2e4}{\meter\per\second} after de-convolution of the laser bandwidth.\\ b) Velocity-resolved increase in the number of ground state Ps atoms, induced by the \SI{243}{\nano\meter} transitory excitation to the \tP{} level, represented by the $S_{\text{243}}$ parameter. At resonance, the Lamb dip is clearly visible. A 2-Gaussian fit yields a rms-width of the engulfing Gaussian of \SI{44\pm3}{pm}, which corresponds to a Ps rms-velocity of \SI{4.9\pm0.4e4}{\meter\per\second}. 2489106 77072 http://cds.cern.ch/record/2878376/files/Fig3b.png 00003 Ps velocity distribution measured by SSPALS. \\ a) Transverse Doppler profile measured by two-photon resonant ionization (205 and \SI{1064}{\nano\meter} lasers) by means of the $S_{\text{205+1064}}$ parameter. A Gaussian fit yields a rms-width of \SI{44\pm1}{pm}, which translates to a Ps rms-velocity of \SI{5.3\pm0.2e4}{\meter\per\second} after de-convolution of the laser bandwidth.\\ b) Velocity-resolved increase in the number of ground state Ps atoms, induced by the \SI{243}{\nano\meter} transitory excitation to the \tP{} level, represented by the $S_{\text{243}}$ parameter. At resonance, the Lamb dip is clearly visible. A 2-Gaussian fit yields a rms-width of the engulfing Gaussian of \SI{44\pm3}{pm}, which corresponds to a Ps rms-velocity of \SI{4.9\pm0.4e4}{\meter\per\second}. 2489107 780834 http://cds.cern.ch/record/2878376/files/2310.08760.pdf Fulltext 2514498 1655618 http://cds.cern.ch/record/2878376/files/Publication.pdf Fulltext 13 ARTICLE 2877007 20250909044156.0 oai:cds.cern.ch:2877007 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI APS 10.1103/PhysRevD.109.115010 publication arXiv oai:arXiv.org:2310.10749 oai:inspirehep.net:2711815 https://inspirehep.net/api/oai2d Inspire 2025-09-08T10:29:40Z 2025-09-09T02:00:18Z marcxml true Inspire 2711815 arXiv arXiv:2310.10749 hep-ex eng Aguilar, J. ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia APS Study of nonstandard interactions mediated by a scalar field at the ESSnuSB experiment arXiv Study of non-standard interaction mediated by a scalar field at ESSnuSB experiment 2024-06-01 2023-10-16 12 p APS In this paper, we study scalar mediator induced nonstandard interactions (SNSIs) in the context of the ESSnuSB experiment. In particular, we study the capability of ESSnuSB to put bounds on the SNSI parameters and also study the impact of SNSIs in the measurement of the leptonic <math display="inline"><mi>C</mi><mi>P</mi></math> phase <math display="inline"><msub><mi>δ</mi><mrow><mi>C</mi><mi>P</mi></mrow></msub></math>. Existence of SNSIs modifies the neutrino mass matrix and this modification can be expressed in terms of three diagonal real parameters (<math display="inline"><msub><mi>η</mi><mrow><mi>e</mi><mi>e</mi></mrow></msub></math>, <math display="inline"><msub><mi>η</mi><mrow><mi>μ</mi><mi>μ</mi></mrow></msub></math>, and <math display="inline"><msub><mi>η</mi><mrow><mi>τ</mi><mi>τ</mi></mrow></msub></math>) and three off-diagonal complex parameters (<math display="inline"><msub><mi>η</mi><mrow><mi>e</mi><mi>μ</mi></mrow></msub></math>, <math display="inline"><msub><mi>η</mi><mrow><mi>e</mi><mi>τ</mi></mrow></msub></math>, and <math display="inline"><msub><mi>η</mi><mrow><mi>μ</mi><mi>τ</mi></mrow></msub></math>). Our study shows that the upper bounds on the parameters <math display="inline"><msub><mi>η</mi><mrow><mi>μ</mi><mi>μ</mi></mrow></msub></math> and <math display="inline"><msub><mi>η</mi><mrow><mi>τ</mi><mi>τ</mi></mrow></msub></math> depend upon how <math display="inline"><mi mathvariant="normal">Δ</mi><msubsup><mi>m</mi><mn>31</mn><mn>2</mn></msubsup></math> is minimized in the theory. However, this is not the case when one tries to measure the impact of SNSIs on <math display="inline"><msub><mi>δ</mi><mrow><mi>C</mi><mi>P</mi></mrow></msub></math>. Further, we show that the <math display="inline"><mi>C</mi><mi>P</mi></math> sensitivity of ESSnuSB can be completely lost for certain values of <math display="inline"><msub><mi>η</mi><mrow><mi>e</mi><mi>e</mi></mrow></msub></math> and <math display="inline"><msub><mi>η</mi><mrow><mi>μ</mi><mi>τ</mi></mrow></msub></math> for which the appearance channel probability becomes independent of <math display="inline"><msub><mi>δ</mi><mrow><mi>C</mi><mi>P</mi></mrow></msub></math>. arXiv In this paper we study non-standard interactions mediated by a scalar field (SNSI) in the context of ESSnuSB experiment. In particular we study the capability of ESSnuSB to put bounds on the SNSI parameters and also study the impact of SNSI in the measurement of the leptonic CP phase $\delta_{\rm CP}$. Existence of SNSI modifies the neutrino mass matrix and this modification can be expressed in terms of three diagonal real parameters ($\eta_{ee}$, $\eta_{\mu\mu}$ and $\eta_{\tau\tau}$) and three off-diagonal complex parameters ($\eta_{e \mu}$, $\eta_{e\tau}$ and $\eta_{\mu\tau}$). Our study shows that the upper bounds on the parameters $\eta_{\mu\mu}$, $\eta_{\tau\tau}$ and $\eta_{\mu\tau}$ depend upon how $\Delta m^2_{31}$ is minimized in the theory. However, this is not the case when one tries to measure the impact of SNSI on $\delta_{\rm CP}$. Further, we show that the CP sensitivity of ESSnuSB can be completely lost for certain values of $\eta_{ee}$ and $\eta_{\mu\tau}$ for which the appearance channel probability becomes independent of $\delta_{\rm CP}$. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication CC BY 4.0 SCOAP3 https://creativecommons.org/licenses/by/4.0/ publication authors 2024 arXiv WARNING: Colon in authors before J. Aguilar : Check author list for collaboration names! arXiv hep-ph SzGeCERN Particle Physics - Phenomenology arXiv hep-ex SzGeCERN Particle Physics - Experiment CERN ARTICLE ESSnuSB Anastasopoulos, M. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Baussan, E. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Bhattacharyya, A.K. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Bignami, A. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Blennow, M. ROR:https://ror.org/026vcq606 Royal Inst. Tech., Stockholm Stockholm Observ. The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Bogomilov, M. ROR:https://ror.org/02jv3k292 Sofiya U. Faculty of Physics, Sofia University St. Kliment Ohridski, 1164 Sofia, Bulgaria Bolling, B. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Bouquerel, E. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Bramati, F. ORCID:0009-0004-6386-070X ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca University of Milano-Bicocca and INFN Sezione di Milano-Bicocca, 20126 Milano, Italy Branca, A. ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca University of Milano-Bicocca and INFN Sezione di Milano-Bicocca, 20126 Milano, Italy Brorsson, W. ROR:https://ror.org/026vcq606 Royal Inst. Tech., Stockholm Stockholm Observ. The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Brunetti, G. ROR:https://ror.org/01ynf4891 Milan Bicocca U. University of Milano-Bicocca and INFN Sezione di Milano-Bicocca, 20126 Milano, Italy Bustinduy, I. ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia Carlile, C.J. ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P.O. Box 118, 221 00 Lund, Sweden Cederkall, J. ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P.O. Box 118, 221 00 Lund, Sweden Choi, T.W. ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Choubey, S. ROR:https://ror.org/026vcq606 Royal Inst. Tech., Stockholm Stockholm Observ. The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Christiansen, P. ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P.O. Box 118, 221 00 Lund, Sweden Collins, M. ROR:https://ror.org/012a77v79 ESS, Lund Lund U. European Spallation Source, Box 176, SE-221 00 Lund, Sweden Faculty of Engineering, Lund University, P.O. Box 118, 221 00 Lund, Sweden Morales, E. Cristaldo ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca University of Milano-Bicocca and INFN Sezione di Milano-Bicocca, 20126 Milano, Italy Danared, H. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Dancila, D. ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden de André, J.P.A.M. ORCID:0000-0002-8905-1351 ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Dracos, M. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Efthymiopoulos, I. ROR:https://ror.org/01ggx4157 CERN CERN, 1211 Geneva 23, Switzerland Ekelöf, T. ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Eshraqi, M. ORCID:0000-0002-8101-9787 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Fanourakis, G. ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Farricker, A. ROR:https://ror.org/02a5smf05 Cockcroft Inst. Accel. Sci. Tech. Cockroft Institute (A36), Liverpool University, Warrington WA4 4AD, United Kingdom Fasoula, E. ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Fukuda, T. ROR:https://ror.org/04chrp450 Nagoya U., IAR Nagoya U. Institute for Advanced Research, Nagoya University, Nagoya 464–8601, Japan Gazis, N. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Geralis, Th. ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Ghosh, M. ORCID:0000-0003-3540-6548 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Giarnetti, A. ORCID:0000-0001-8487-8045 ROR:https://ror.org/05vf0dg29 Rome III U. Dipartimento di Matematica e Fisica, Universitá di Roma Tre, Via della Vasca Navale 84, 00146 Rome, Italy Gokbulut, G. ROR:https://ror.org/05wxkj555 Cukurova U. Department of Physics, Faculty of Science and Letters, University of Cukurova, 01330 Adana, Turkey Hagner, C. ROR:https://ror.org/00g30e956 Hamburg U. Institute for Experimental Physics, Hamburg University, 22761 Hamburg, Germany Halić, L. ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Hariharan, V.T. ROR:https://ror.org/00g30e956 Hamburg U. Institute for Experimental Physics, Hamburg University, 22761 Hamburg, Germany Iversen, K.E. ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P.O. Box 118, 221 00 Lund, Sweden Jenssen, M. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Johansson, R. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Kasimi, E. ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Kayis Topaksu, A. ROR:https://ror.org/05wxkj555 Cukurova U. Department of Physics, Faculty of Science and Letters, University of Cukurova, 01330 Adana, Turkey Kildetof, B. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Kliček, B. ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Kordas, K. ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Leisos, A. ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Lindroos, M. ROR:https://ror.org/012a77v79 ESS, Lund Lund U. Department of Physics, Lund University, P.O. Box 118, 221 00 Lund, Sweden European Spallation Source, Box 176, SE-221 00 Lund, Sweden Longhin, A. ROR:https://ror.org/00240q980 ROR:https://ror.org/00z34yn88 Padua U. INFN, Padua Department of Physics and Astronomy “G. Galilei,” University of Padova and INFN Sezione di Padova, Padova, Italy Maiano, C. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Marangoni, S. ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca University of Milano-Bicocca and INFN Sezione di Milano-Bicocca, 20126 Milano, Italy Marrelli, C. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Martins, C. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Meloni, D. ROR:https://ror.org/05vf0dg29 Rome III U. Dipartimento di Matematica e Fisica, Universitá di Roma Tre, Via della Vasca Navale 84, 00146 Rome, Italy Mezzetto, M. ROR:https://ror.org/00z34yn88 INFN, Padua INFN Sezione di Padova, Padova, Italy Milas, N. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Muñoz, J.L. ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia Oglakci, M. ROR:https://ror.org/05wxkj555 Cukurova U. Department of Physics, Faculty of Science and Letters, University of Cukurova, 01330 Adana, Turkey Ohlsson, T. ROR:https://ror.org/026vcq606 Royal Inst. Tech., Stockholm Stockholm Observ. The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Olvegård, M. ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Pari, M. ROR:https://ror.org/00240q980 ROR:https://ror.org/00z34yn88 Padua U. INFN, Padua Department of Physics and Astronomy “G. Galilei,” University of Padova and INFN Sezione di Padova, Padova, Italy Patrzalek, D. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Petkov, G. ROR:https://ror.org/02jv3k292 Sofiya U. Faculty of Physics, Sofia University St. Kliment Ohridski, 1164 Sofia, Bulgaria Petridou, Ch. ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Poussot, P. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Psallidas, A. ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Pupilli, F. ROR:https://ror.org/00z34yn88 INFN, Padua INFN Sezione di Padova, Padova, Italy Raikwal, D. ROR:https://ror.org/0165d9303 ROR:https://ror.org/02bv3zr67 Harish-Chandra Res. Inst. HBNI, Mumbai Harish-Chandra Research Institute, A CI of Homi Bhabha National Institute, Chhatnag Road, Jhunsi, Prayagraj 211019, India Homi Bhabha National Institute, Anushakti Nagar, Mumbai 400094, India Saiang, D. Lulea U. Department of Civil, Environmental, and Natural Resources Engineering, Luleå University of Technology, SE-971 87 Lulea, Sweden Sampsonidis, D. ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Schwab, C. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Sordo, F. ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia Sosa, A. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Stavropoulos, G. ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Stipčević, M. ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Tarkeshian, R. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Terranova, F. ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca University of Milano-Bicocca and INFN Sezione di Milano-Bicocca, 20126 Milano, Italy Tolba, T. ROR:https://ror.org/00g30e956 Hamburg U. Institute for Experimental Physics, Hamburg University, 22761 Hamburg, Germany Trachanas, E. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Tsenov, R. ROR:https://ror.org/02jv3k292 Sofiya U. Faculty of Physics, Sofia University St. Kliment Ohridski, 1164 Sofia, Bulgaria Tsirigotis, A. ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Tzamarias, S.E. ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Vankova-Kirilova, G. ROR:https://ror.org/02jv3k292 Sofiya U. Faculty of Physics, Sofia University St. Kliment Ohridski, 1164 Sofia, Bulgaria Vassilopoulos, N. ROR:https://ror.org/03v8tnc06 Beijing, Inst. High Energy Phys. Institute of High Energy Physics (IHEP) Dongguan Campus, Chinese Academy of Sciences (CAS), 1 Zhongziyuan Road, Dongguan, Guangdong 523803, China Vihonen, S. ORCID:0000-0001-7761-2847 ROR:https://ror.org/026vcq606 Royal Inst. Tech., Stockholm Stockholm Observ. The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Wurtz, J. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Zeter, V. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Zormpa, O. ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Zou, Y. ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden ESSnuSB Collaboration 115010 publication 11 Phys. Rev. D 109 2024 2487568 32049 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_sens_dm31_et.png 00004 2-D contours in the $\eta$ (test) - $\Delta m^2_{31}$ (test) plane. In these panels $1 \sigma$ ($3 \sigma$) contours corresponds to $\chi^2 = 2.30~(11.83)$. See text for details. 2487569 1473795 http://cds.cern.ch/record/2877007/files/2310.10749.pdf Fulltext 2487570 17567 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_cpp_mt_CM_dm31_loop.png 00020 CP precision sensitivity as function of the SNSI parameters. Here $\Delta \delta_{\rm CP}$ corresponds to the $1 \sigma$ error associated with $\delta_{\rm CP}$ corresponding to $\chi^2 = 1$. See text for details. 2487571 39086 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_prob_et01.png 00011 Appearance channel probabilities as a function of $E$ for the three off-diagonal SNSI parameters. The Standard curve is drawn with the true values of oscillation parameters which are used to generate Fig.\ref{bnd}. The SNSI curves are drawn with the value of oscillation parameter where $\chi^2$ minimum comes in top row of Fig.~\ref{bnd}. 2487572 18618 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_cpv_mt_CM_dm31_loop_unif.png 00016 CP violation discovery sensitivity for $\delta_{\rm CP} (\text{true}) = -90^\circ$ as function of the SNSI parameters. $5\sigma$ is at $\sqrt{\chi^2}=5$. See text for detail. 2487573 9809 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_prob_delta_ee-0176.png 00022 Appearance channel probability as a function of energy (left panel) and the same as a function of $\delta_{\rm CP}$ (right panel). See text for details. 2487574 32795 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_sens_offdiag_no_dm31_prior_ext.png 00007 Capability of ESSNuSB to put bounds on the SNSI parameters. Top row: $\Delta m^2_{31}$ is minimized randomly without any prior. Bottom row: $\Delta m^2_{31}$ is minimized within its current $3 \sigma$ values. See text for details. 2487575 12118 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_sens_dm31_ee.png 00000 2-D contours in the $\eta$ (test) - $\Delta m^2_{31}$ (test) plane. In these panels $1 \sigma$ ($3 \sigma$) contours corresponds to $\chi^2 = 2.30~(11.83)$. See text for details. 2487576 38271 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_prob_mt01.png 00012 Appearance channel probabilities as a function of $E$ for the three off-diagonal SNSI parameters. The Standard curve is drawn with the true values of oscillation parameters which are used to generate Fig.\ref{bnd}. The SNSI curves are drawn with the value of oscillation parameter where $\chi^2$ minimum comes in top row of Fig.~\ref{bnd}. 2487577 18564 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_cpv_et_CM_dm31_loop_unif.png 00015 CP violation discovery sensitivity for $\delta_{\rm CP} (\text{true}) = -90^\circ$ as function of the SNSI parameters. $5\sigma$ is at $\sqrt{\chi^2}=5$. See text for detail. 2487578 29076 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_sens_diag_dm31_loop.png 00008 Capability of ESSNuSB to put bounds on the SNSI parameters. Top row: $\Delta m^2_{31}$ is minimized randomly without any prior. Bottom row: $\Delta m^2_{31}$ is minimized within its current $3 \sigma$ values. See text for details. 2487579 31801 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_cpp_diag_dm31_loop.png 00017 CP precision sensitivity as function of the SNSI parameters. Here $\Delta \delta_{\rm CP}$ corresponds to the $1 \sigma$ error associated with $\delta_{\rm CP}$ corresponding to $\chi^2 = 1$. See text for details. 2487580 19185 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_cpv_em_CM_dm31_loop_unif.png 00014 CP violation discovery sensitivity for $\delta_{\rm CP} (\text{true}) = -90^\circ$ as function of the SNSI parameters. $5\sigma$ is at $\sqrt{\chi^2}=5$. See text for detail. 2487581 35843 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_sens_dm31_mm.png 00001 2-D contours in the $\eta$ (test) - $\Delta m^2_{31}$ (test) plane. In these panels $1 \sigma$ ($3 \sigma$) contours corresponds to $\chi^2 = 2.30~(11.83)$. See text for details. 2487582 33566 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_sens_diag_no_dm31_prior.png 00006 Capability of ESSNuSB to put bounds on the SNSI parameters. Top row: $\Delta m^2_{31}$ is minimized randomly without any prior. Bottom row: $\Delta m^2_{31}$ is minimized within its current $3 \sigma$ values. See text for details. 2487583 35166 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_sens_dm31_tt.png 00002 2-D contours in the $\eta$ (test) - $\Delta m^2_{31}$ (test) plane. In these panels $1 \sigma$ ($3 \sigma$) contours corresponds to $\chi^2 = 2.30~(11.83)$. See text for details. 2487584 32220 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_sens_offdiag_dm31_loop_ext.png 00009 Capability of ESSNuSB to put bounds on the SNSI parameters. Top row: $\Delta m^2_{31}$ is minimized randomly without any prior. Bottom row: $\Delta m^2_{31}$ is minimized within its current $3 \sigma$ values. See text for details. 2487585 31706 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_cpv_diag_dm31_loop.png 00013 CP violation discovery sensitivity for $\delta_{\rm CP} (\text{true}) = -90^\circ$ as function of the SNSI parameters. $5\sigma$ is at $\sqrt{\chi^2}=5$. See text for detail. 2487586 16788 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_cpp_em_CM_dm31_loop.png 00018 CP precision sensitivity as function of the SNSI parameters. Here $\Delta \delta_{\rm CP}$ corresponds to the $1 \sigma$ error associated with $\delta_{\rm CP}$ corresponding to $\chi^2 = 1$. See text for details. 2487587 32553 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_sens_dm31_mt.png 00005 2-D contours in the $\eta$ (test) - $\Delta m^2_{31}$ (test) plane. In these panels $1 \sigma$ ($3 \sigma$) contours corresponds to $\chi^2 = 2.30~(11.83)$. See text for details. 2487588 34952 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_sens_dm31_em.png 00003 2-D contours in the $\eta$ (test) - $\Delta m^2_{31}$ (test) plane. In these panels $1 \sigma$ ($3 \sigma$) contours corresponds to $\chi^2 = 2.30~(11.83)$. See text for details. 2487589 40257 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_prob_em01.png 00010 Appearance channel probabilities as a function of $E$ for the three off-diagonal SNSI parameters. The Standard curve is drawn with the true values of oscillation parameters which are used to generate Fig.\ref{bnd}. The SNSI curves are drawn with the value of oscillation parameter where $\chi^2$ minimum comes in top row of Fig.~\ref{bnd}. 2487590 16444 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_cpp_et_CM_dm31_loop.png 00019 CP precision sensitivity as function of the SNSI parameters. Here $\Delta \delta_{\rm CP}$ corresponds to the $1 \sigma$ error associated with $\delta_{\rm CP}$ corresponding to $\chi^2 = 1$. See text for details. 2487591 38624 http://cds.cern.ch/record/2877007/files/essnusb_SNSI360_prob_E_ee-0176.png 00021 Appearance channel probability as a function of energy (left panel) and the same as a function of $\delta_{\rm CP}$ (right panel). See text for details. 2527521 9806 http://cds.cern.ch/record/2877007/files/1a.png 00000 2-D contours in the $\eta$ (test) - $\Delta m^2_{31}$ (test) plane. In these panels $1 \sigma$ ($90\%$ C.L.) contours corresponds to $\chi^2 = 2.30~(4.61)$. See text for details. 2527522 12557 http://cds.cern.ch/record/2877007/files/1c.png 00004 2-D contours in the $\eta$ (test) - $\Delta m^2_{31}$ (test) plane. In these panels $1 \sigma$ ($90\%$ C.L.) contours corresponds to $\chi^2 = 2.30~(4.61)$. See text for details. 2527523 12822 http://cds.cern.ch/record/2877007/files/1b.png 00002 2-D contours in the $\eta$ (test) - $\Delta m^2_{31}$ (test) plane. In these panels $1 \sigma$ ($90\%$ C.L.) contours corresponds to $\chi^2 = 2.30~(4.61)$. See text for details. 2527524 9838 http://cds.cern.ch/record/2877007/files/1e.png 00003 2-D contours in the $\eta$ (test) - $\Delta m^2_{31}$ (test) plane. In these panels $1 \sigma$ ($90\%$ C.L.) contours corresponds to $\chi^2 = 2.30~(4.61)$. See text for details. 2527525 9862 http://cds.cern.ch/record/2877007/files/1d.png 00001 2-D contours in the $\eta$ (test) - $\Delta m^2_{31}$ (test) plane. In these panels $1 \sigma$ ($90\%$ C.L.) contours corresponds to $\chi^2 = 2.30~(4.61)$. See text for details. 2527526 12703 http://cds.cern.ch/record/2877007/files/1f.png 00005 2-D contours in the $\eta$ (test) - $\Delta m^2_{31}$ (test) plane. In these panels $1 \sigma$ ($90\%$ C.L.) contours corresponds to $\chi^2 = 2.30~(4.61)$. See text for details. 2527527 37098 http://cds.cern.ch/record/2877007/files/3c.png 00012 Appearance channel probabilities as a function of $E$ for the three off-diagonal SNSI parameters. The Standard curve (SI) is drawn with the true values of oscillation parameters which are used to generate Fig.\ref{bnd}. The SNSI curves are drawn with the value of oscillation parameter where $\chi^2$ minimum comes in top row of Fig.~\ref{bnd}. 2527528 40334 http://cds.cern.ch/record/2877007/files/3b.png 00011 Appearance channel probabilities as a function of $E$ for the three off-diagonal SNSI parameters. The Standard curve (SI) is drawn with the true values of oscillation parameters which are used to generate Fig.\ref{bnd}. The SNSI curves are drawn with the value of oscillation parameter where $\chi^2$ minimum comes in top row of Fig.~\ref{bnd}. 2527529 39416 http://cds.cern.ch/record/2877007/files/3a.png 00010 Appearance channel probabilities as a function of $E$ for the three off-diagonal SNSI parameters. The Standard curve (SI) is drawn with the true values of oscillation parameters which are used to generate Fig.\ref{bnd}. The SNSI curves are drawn with the value of oscillation parameter where $\chi^2$ minimum comes in top row of Fig.~\ref{bnd}. 2527530 31788 http://cds.cern.ch/record/2877007/files/2d.png 00009 Capability of ESSNuSB to put bounds on the SNSI parameters. Top row: $\Delta m^2_{31}$ is minimized randomly without any prior. Bottom row: $\Delta m^2_{31}$ is minimized within its current $3 \sigma$ values. See text for details. 2527531 34161 http://cds.cern.ch/record/2877007/files/2a.png 00006 Capability of ESSNuSB to put bounds on the SNSI parameters. Top row: $\Delta m^2_{31}$ is minimized randomly without any prior. Bottom row: $\Delta m^2_{31}$ is minimized within its current $3 \sigma$ values. See text for details. 2527532 31854 http://cds.cern.ch/record/2877007/files/2b.png 00007 Capability of ESSNuSB to put bounds on the SNSI parameters. Top row: $\Delta m^2_{31}$ is minimized randomly without any prior. Bottom row: $\Delta m^2_{31}$ is minimized within its current $3 \sigma$ values. See text for details. 2527533 24778 http://cds.cern.ch/record/2877007/files/2c.png 00008 Capability of ESSNuSB to put bounds on the SNSI parameters. Top row: $\Delta m^2_{31}$ is minimized randomly without any prior. Bottom row: $\Delta m^2_{31}$ is minimized within its current $3 \sigma$ values. See text for details. 2540511 977238 http://cds.cern.ch/record/2877007/files/Publication.pdf Fulltext 13 ARTICLE 2875967 SzGeCERN 20231018210804.0 DOI Elsevier B.V. 10.1016/j.nima.2023.168558 publication oai:cds.cern.ch:2875967 cerncds:CERN https://inspirehep.net/api/oai2d 2023-10-18T04:40:42Z marcxml oai:inspirehep.net:2710866 2023-10-17T12:45:59Z Inspire 2710866 eng Bressan, A INFN, Trieste Trieste U. Trieste University, Trieste, Italy Elsevier B.V. The high voltage system of the novel MPGD-based photon detectors of COMPASS RICH-1 and its development towards a scalable High Voltage Power Supply System for MPGDs 2023 4 p Elsevier B.V. The COMPASS RICH-1 detector has undergone a major upgrade in 2016 with the installation of four novel MPGD-based photon detectors. They consist of large-size hybrid MPGDs with multi-layer architecture composed of two layers of Thick-GEMs and bulk resistive MicroMegas. A dedicated high voltage power supply system, based on CAEN HV modules, has been built and put in operation: it controls more than 100 HV channels. The system is required to protect the detectors against errors by the operator, monitor voltages and currents at a 1 Hz rate and automatically react to detector misbehavior. It includes also a HV compensation system against environmental pressure and temperature variation to grant the detector stability. The operation of a MPGD based single photon detector poses challenging requirements to the high voltage power supply systems employed in terms of high-resolution diagnostic features and dynamic voltage control. Systems satisfying all the needed features are not commercially available; for this reason a novel single channel high voltage system matching the MPGD needs has been designed and realized. In this article the COMPASS RICH-1 MPGD HV system implementation is described as well as its performance in terms of stability of the novel MPGD-based photon detectors during the physics data taking at COMPASS. The design, implementation and performance of a novel HV power supply system based on DC to DC converters and controlled by a FPGA device is presented. The capabilities of the first prototype of the new single HV channel power supply are illustrated when operated with a MPGD based single photon detector during a test beam exercise. The preliminary result of the multi channel system are briefly discussed. Elsevier B.V. publication 2023 SzGeCERN Detectors and Experimental Techniques Elsevier B.V. RICH Elsevier B.V. High voltage Elsevier B.V. THGEM Elsevier B.V. MM Elsevier B.V. FPGA ARTICLE CERN CERN SPS NA58 Carrato, S INFN, Trieste Trieste U. Chatterjee, C INFN, Trieste Cicuttin, A ICTP, Trieste INFN, Trieste INFN, Sez. Trieste, Trieste, Italy Crespo, M L ICTP, Trieste INFN, Trieste INFN, Sez. Trieste, Trieste, Italy D'Ago, D INFN, Trieste Trieste U. Trieste University, Trieste, Italy Dalla Torre, S INFN, Trieste Dasgupta, S INFN, Trieste Bhubaneswar, NISER National Institute of Science Education and Research, Bhubaneswar, India Ballina E , M G ICTP, Trieste Florian S , W ICTP, Trieste INFN, Trieste Trieste U. Trieste University, Trieste, Italy Ordóñez, L García ICTP, Trieste INFN, Trieste Trieste U. Trieste University, Trieste, Italy Gregori, M INFN, Trieste Hamar, G INFN, Trieste Wigner RCP, Budapest Wigner Research Centre for Physics, Hungarian Academy of Sciences, Budapest, Hungary Kosoveu, A INFN, Trieste Levorato, S stefano.levorato@ts.infn.it INFN, Trieste CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Mannatunga, K ICTP, Trieste Martin, A INFN, Trieste Trieste U. Trieste University, Trieste, Italy Tessarotto, F INFN, Trieste Triloki INFN, Trieste ICTP, Trieste ICTP, Trieste, Italy Valinoti, B ICTP, Trieste INFN, Trieste Trieste U. Trieste University, Trieste, Italy 168558 publication C22-09-12 2023 Nucl. Instrum. Methods Phys. Res., A 1056 13 2856349 edinburgh20220912 168558 ARTICLE ConferencePaper 2875922 SzGeCERN 20231017205535.0 oai:cds.cern.ch:2875922 cerncds:CONF cerncds:TALK CONFERENCE ANNOUNCEMENT 41 ANNOUNCEMENT https://spie.org/conferences-and-exhibitions/optics-and-photonics?utm_id=rnasemcaw&utm_campaign=the_national_academies_of_sciences,_engineering,_and_medicine_web_calendar_link_&utm_source=event_event_calendar_links&utm_medium=display_online_advertising Conference home page 2023 Optics and photonics are enabling technologies that are part of our daily lives—from energy efficiency to healthcare. Advancements in these areas will help us to better respond to social and environmental challenges of our future. These advancements that will be highlighted at the SPIE Optics + Photonics conference this August in San Diego, California. The conference topics include this year within the areas of optical engineering, nanotechnology, quantum science, organic photonics, and astronomical instrumentation. With more than 50 conferences, over 3,000 technical presentations, over 30 courses, 3,500 attendees, and 150+ exhibiting companies, SPIE Optics + Photonics offers both classic and cutting-edge optics and photonics research, training, and product information. Join your peers at SPIE Optics + Photonics 2023 – and get the kind of technical information, professional training, and market intelligence that is key to success in today's changing job and technology landscape. SPIE Optics + Photonics is the largest international, multidisciplinary optical sciences and technology meeting in North America. With three symposia, find the latest research in these four areas: Optical Engineering Applications, Nanoscience + Engineering Applications, and Organic Photonics + Electronics. SzGeCERN Nuclear Physics - Experiment SzGeCERN Conference h 202342 eng 20230820 Hard X-Ray, Gamma-Ray, and Neutron Detector Physics XXIII San Diego, United States 20 - 24 Aug 2023 2023 san diego20230820 US 20230824 INSPIRE-CNUM C23-08-20 2875594 20260207045712.0 DOI 10.1116/5.0185291 oai:cds.cern.ch:2875594 cerncds:FULLTEXT cerncds:CONF cerncds:CERN:FULLTEXT cerncds:CERN cerncds:CONF:FULLTEXT arXiv oai:arXiv.org:2310.08183 oai:inspirehep.net:2709872 https://inspirehep.net/api/oai2d Inspire 2026-02-06T10:52:24Z 2026-02-07T03:00:03Z marcxml true INSPIRE-CNUM C23-03-13.4 Inspire 2709872 arXiv arXiv:2310.08183 hep-ex CERN-TH-2023-176 eng Abend, Sven ROR:https://ror.org/0304hq317 Leibniz U., Hannover Leibniz Universität Hannover,Welfengarten 1,30167 Hannover,Germany 20230313 Terrestrial Very-Long-Baseline Atom Interferometry Workshop (TVLBAI 2023) CERN, Geneva, Switzerland 13 - 14 Mar 2023 2023 cern20230313 C23-03-13.4 CH 20230314 arXiv Terrestrial Very-Long-Baseline Atom Interferometry: Workshop Summary 2024-05-07 2023-10-12 99 p arXiv Summary of the Terrestrial Very-Long-Baseline Atom Interferometry Workshop held at CERN: https://indico.cern.ch/event/1208783/ arXiv This document presents a summary of the 2023 Terrestrial Very-Long-Baseline Atom Interferometry Workshop hosted by CERN. The workshop brought together experts from around the world to discuss the exciting developments in large-scale atom interferometer (AI) prototypes and their potential for detecting ultralight dark matter and gravitational waves. The primary objective of the workshop was to lay the groundwork for an international TVLBAI proto-collaboration. This collaboration aims to unite researchers from different institutions to strategize and secure funding for terrestrial large-scale AI projects. The ultimate goal is to create a roadmap detailing the design and technology choices for one or more km-scale detectors, which will be operational in the mid-2030s. The key sections of this report present the physics case and technical challenges, together with a comprehensive overview of the discussions at the workshop together with the main conclusions. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication CC BY 4.0 Other https://creativecommons.org/licenses/by/4.0/ publication Author(s) 2024 SzGeCERN Particle Physics - Phenomenology SzGeCERN General Relativity and Cosmology SzGeCERN Astrophysics and Astronomy SzGeCERN Particle Physics - Experiment SzGeCERN Other Fields of Physics CERN PROCEEDINGS Allard, Baptiste LCAR, Toulouse Laboratoire Collisions Agrégats Réactivité,CNRS,Université Toulouse III - Paul Sabatier,Toulouse,France Alonso, Iván Balearic Islands U. Department of Industrial Engineering,Higher Polytechnic School,University of the Balearic Islands,Palma de Mallorca,Spain Antoniadis, John ROR:https://ror.org/00dr28g20 Crete U. IFORTH Institute of Astrophysics,N. Plastira 100,70013,Heraklion,Greece Araújo, Henrique ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department,Imperial College,Prince Consort Road,London,SW7 2AZ,UK Arduini, Gianluigi ROR:https://ror.org/01ggx4157 CERN CERN,CH-1211 Geneva 23,Switzerland Arnold, Aidan S. SUPA, UK Strathclyde U. SUPA Department of Physics,University of Strathclyde,Glasgow,G4 0NG,UK Aßmann, Tobias Ulm U. Institut für Quantenphysik and Center for Integrated Quantum Science and Technology (IQST),Universität Ulm,Albert-Einstein-Allee 11,89081 Ulm,Germany Augst, Nadja DLR, Neustrelitz Deutsches Zentrum für Luft- und Raumfahrt (DLR),Institut für Quantentechnologien,Wilhelm-Runge-Straße 10,89081 Ulm,Germany Badurina, Leonardo ORCID:0000-0003-4575-5127 ROR:https://ror.org/0220mzb33 ROR:https://ror.org/05dxps055 King's Coll. London Caltech Physics Department,King's College London,London,WC2R 2LS,UK Walter Burke Institute for Theoretical Physics,California Institute of Technology,Pasadena,CA 91125,USA Balaž, Antun ROR:https://ror.org/02qsmb048 Belgrade U. Institute of Physics Belgrade,University of Belgrade,Pregrevica 118,11080 Belgrade,Serbia Banks, Hannah ORCID:0000-0003-0508-2589 ROR:https://ror.org/013meh722 Cambridge U., DAMTP DAMTP,University of Cambridge,Wilberforce Road,Cambridge,CB3 0WA,UK Barone, Michele ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics,NCSR Demokritos,Agia Paraskevi 15310,Greece Barsanti, Michele ROR:https://ror.org/03ad39j10 Pisa U. Department of Civil and Industrial Engineering,University of Pisa,Largo Lucio Lazzarino,Pisa,56122,Italy Bassi, Angelo ROR:https://ror.org/004fze387 ROR:https://ror.org/05j3snm48 SISSA, Trieste INFN, Trieste Department of Physics,University of Trieste,Strada Costiera 11,34151 Trieste,Italy Istituto Nazionale di Fisica Nucleare,Trieste Section,Via Valerio 2,34127 Trieste,Italy Battelier, Baptiste ROR:https://ror.org/057qpr032 LP2N, Bordeaux LP2N,Laboratoire Photonique,Numérique et Nanosciences,UniversitéBordeaux-IOGS-CNRS:UMR 5298,1 rue François Mitterrand,33400 Talence,France Baynham, Charles F.A. ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department,Imperial College,Prince Consort Road,London,SW7 2AZ,UK Beaufils, Quentin SYRTE, Paris SYRTE,Observatoire de Paris,Université PSL,CNRS,Sorbonne Université,LNE,61 avenue de l’Observatoire 75014 Paris,France Belić, Aleksandar ROR:https://ror.org/02qsmb048 Belgrade U. Institute of Physics Belgrade,University of Belgrade,Pregrevica 118,11080 Belgrade,Serbia Beniwal, Ankit ROR:https://ror.org/0220mzb33 King's Coll. London Physics Department,King's College London,London,WC2R 2LS,UK Bernabeu, Jose ORCID:0000-0003-3677-1328 ROR:https://ror.org/043nxc105 Valencia U. Department of Theoretical Physics,University of Valencia,E-46100 Burjassot,Spain Bertinelli, Francesco ROR:https://ror.org/01ggx4157 CERN CERN,CH-1211 Geneva 23,Switzerland Bertoldi, Andrea ROR:https://ror.org/057qpr032 LP2N, Bordeaux LP2N,Laboratoire Photonique,Numérique et Nanosciences,UniversitéBordeaux-IOGS-CNRS:UMR 5298,1 rue François Mitterrand,33400 Talence,France Biswas, Ikbal Ahamed Indian Inst. Tech., New Delhi Department of Physics,Indian Institute of Technology Delhi,Hauz Khas,New Delhi,110016,India Blas, Diego ORCID:0000-0003-2646-0112 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Grup de Física Teòrica,Departament de Física,Universitat Autònoma de Barcelona,08193 Bellaterra (Barcelona),Spain; and Institut de Fisica d’Altes Energies (IFAE),The Barcelona Institute of Science and Technology,Campus UAB,08193 Bellaterra (Barcelona),Spain Boegel, Patrick Ulm U. Institut für Quantenphysik and Center for Integrated Quantum Science and Technology (IQST),Universität Ulm,Albert-Einstein-Allee 11,89081 Ulm,Germany Bogojević, Aleksandar ROR:https://ror.org/02qsmb048 Belgrade U. Institute of Physics Belgrade,University of Belgrade,Pregrevica 118,11080 Belgrade,Serbia Böhm, Jonas ROR:https://ror.org/0304hq317 Leibniz U., Hannover Leibniz Universität Hannover,Welfengarten 1,30167 Hannover,Germany Böhringer, Samuel Ulm U. Institut für Quantenphysik and Center for Integrated Quantum Science and Technology (IQST),Universität Ulm,Albert-Einstein-Allee 11,89081 Ulm,Germany Bongs, Kai ROR:https://ror.org/03angcq70 DLR, Neustrelitz Birmingham U. Deutsches Zentrum für Luft- und Raumfahrt (DLR),Institut für Quantentechnologien,Wilhelm-Runge-Straße 10,89081 Ulm,Germany University of Birmingham,Birmingham,B15 2TT,UK Bouyer, Philippe ROR:https://ror.org/04dkp9463 ROR:https://ror.org/00x7ekv49 ROR:https://ror.org/02c2kyt77 Amsterdam U. Amsterdam, CWI Eindhoven, Tech. U. Van der Waals-Zeeman Institute,Institute of Physics,University of Amsterdam,Science Park 904,1098XH Amsterdam,The Netherlands QuSoft,Science Park 123,1098XG Amsterdam,The Netherlands Eindhoven University of Technology,P.O. Box 513,5600MB Eindhoven,The Netherlands Brand, Christian DLR, Neustrelitz Deutsches Zentrum für Luft- und Raumfahrt (DLR),Institut für Quantentechnologien,Wilhelm-Runge-Straße 10,89081 Ulm,Germany Brimis, Apostolos ROR:https://ror.org/00dr28g20 Crete U. IESL, Heraklion Foundation for Research and Technology (FORTH),Institute of Electronic Structure and Lasers (IESL),Heraklion,Crete,Greece ITCP,Department of Physics,University of Crete,Heraklion,Greece Buchmueller, Oliver ROR:https://ror.org/041kmwe10 ROR:https://ror.org/052gg0110 Imperial Coll., London Oxford U. Physics Department,Imperial College,Prince Consort Road,London,SW7 2AZ,UK University of Oxford,South Parks Road,Oxford OX1 3PU,UK Cacciapuoti, Luigi ROR:https://ror.org/03h3jqn23 ESTEC, Noordwijk European Space Agency,Keplerlaan 1,2201AZ Noordwijk,The Netherlands Calatroni, Sergio ROR:https://ror.org/01ggx4157 CERN CERN,CH-1211 Geneva 23,Switzerland Canuel, Benjamin ROR:https://ror.org/057qpr032 LP2N, Bordeaux LP2N,Laboratoire Photonique,Numérique et Nanosciences,UniversitéBordeaux-IOGS-CNRS:UMR 5298,1 rue François Mitterrand,33400 Talence,France Caprini, Chiara ROR:https://ror.org/01ggx4157 CERN CERN,CH-1211 Geneva 23,Switzerland Caramete, Ana ROR:https://ror.org/054a6wv56 Bucharest, Inst. Space Science Institute of Space Science,409 Atomistilor Street,Bucharest,Magurele,Ilfov,077125,Romania Caramete, Laurentiu ROR:https://ror.org/054a6wv56 Bucharest, Inst. Space Science Institute of Space Science,409 Atomistilor Street,Bucharest,Magurele,Ilfov,077125,Romania Carlesso, Matteo ROR:https://ror.org/004fze387 ROR:https://ror.org/00hswnk62 SISSA, Trieste Queen's U., Belfast Department of Physics,University of Trieste,Strada Costiera 11,34151 Trieste,Italy Centre for Theoretical Atomic,Molecular,and Optical Physics,School of Mathematics and Physics,Queens University,Belfast BT7 1NN,UK Carlton, John ORCID:0000-0001-6483-5216 ROR:https://ror.org/0220mzb33 King's Coll. London Physics Department,King's College London,London,WC2R 2LS,UK Casariego, Mateo ROR:https://ror.org/01c27hj86 Taguspark, IST Lisbon, CENTRA Instituto de Telecomunicações,Instituto Superior Técnico,Av. Rovisco Pais,Torre Norte,Lisboa,1049-001,Portugal Physics of Information and Quantum Technologies Group,Centro de Física e Engenharia de Materiais Avançados (CeFEMA),Portugal Charmandaris, Vassilis ROR:https://ror.org/00dr28g20 Crete U. IESL, Heraklion Dept. of Physics,Univ. of Crete,Greece & Institute of Astrophysics,FORTH,Greece & European University Cyprus,Cyprus Chen, Yu-Ao ROR:https://ror.org/04c4dkn09 USTC, Hefei CUST, SKLPDE School of Physical Sciences,University of Science and Technology of China,Hefei 230026,Anhui,China Chiofalo, Maria Luisa ROR:https://ror.org/05symbg58 INFN, Pisa Department of Physics,University of Pisa and INFN,Largo Bruno Pontecorvo 3,56126 Pisa,Italy Cimbri, Alessia ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department,Imperial College,Prince Consort Road,London,SW7 2AZ,UK Coleman, Jonathon ROR:https://ror.org/04xs57h96 Liverpool U. Department of Physics,University of Liverpool,Merseyside,L69 7ZE,UK Constantin, Florin Lucian ROR:https://ror.org/04e89s906 PhLAM, Villeneuve d'Ascq Laboratoire PhLAM,CNRS UMR 8523,Villeneuve d'Ascq,France Contaldi, Carlo R. ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department,Imperial College,Prince Consort Road,London,SW7 2AZ,UK Cui, Yanou ROR:https://ror.org/03nawhv43 UC, Riverside Department of Physics and Astronomy,University of California,Riverside,CA,USA Da Ros, Elisa ROR:https://ror.org/01hcx6992 Humboldt U., Berlin Institut für Physik,Humboldt-Universität zu Berlin,Newtonstraße 15,Berlin 12489, Germany Davies, Gavin ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department,Imperial College,Prince Consort Road,London,SW7 2AZ,UK del Pino Rosendo, Esther ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Johannes Gutenberg University,Staudingerweg 7,55128 Mainz,Germany Deppner, Christian DLR, Neustrelitz Deutsches Zentrum für Luft- und Raumfahrt (DLR),Institut für Satellitengeodäsie und Inertialsensorik,Callinstr. 30b,30167 Hannover,Germany Derevianko, Andrei ROR:https://ror.org/01keh0577 Nevada U., Reno Department of Physics,University of Nevada,Reno,Nevada 89557,USA de Rham, Claudia ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department,Imperial College,Prince Consort Road,London,SW7 2AZ,UK De Roeck, Albert ROR:https://ror.org/01ggx4157 CERN CERN,CH-1211 Geneva 23,Switzerland Derr, Daniel ROR:https://ror.org/05n911h24 Darmstadt, Tech. U. Technische Universität Darmstadt,Fachbereich Physik,Institut für Angewandte Physik,Schlossgartenstr. 7,D-64289 Darmstadt,Germany Di Pumpo, Fabio Ulm U. Institut für Quantenphysik and Center for Integrated Quantum Science and Technology (IQST),Universität Ulm,Albert-Einstein-Allee 11,89081 Ulm,Germany Djordjevic, Goran S. Nis U. Department of Physics,University of Nis,Serbia Döbrich, Babette ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut),München,Germany Domokos, Peter ROR:https://ror.org/035dsb084 Wigner RCP, Budapest HUN-REN Wigner Research Centre for Physics H-1525 Budapest,P.O. Box 49.,Hungary Dornan, Peter ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department,Imperial College,Prince Consort Road,London,SW7 2AZ,UK Doser, Michael ROR:https://ror.org/01ggx4157 CERN CERN,CH-1211 Geneva 23,Switzerland Drougakis, Giannis ROR:https://ror.org/00dr28g20 Crete U. IESL, Heraklion Foundation for Research and Technology (FORTH),Institute of Electronic Structure and Lasers (IESL),Heraklion,Crete,Greece Dunningham, Jacob ROR:https://ror.org/00ayhx656 Sussex U. Department of Physics and Astronomy,University of Sussex,Brighton,BN1 9QH,UK Duspayev, Alisher ROR:https://ror.org/00jmfr291 Michigan U. Department of Physics,University of Michigan,Ann Arbor,Michigan,48109,USA Easo, Sajan ROR:https://ror.org/03gq8fr08 Rutherford STFC,Rutherford Appleton Laboratory,Harwell campus,Didcot,OX110QX,UK Eby, Joshua ORCID:0000-0003-0562-9177 ROR:https://ror.org/05f0yaq80 Stockholm U. Department of Physics,Stockholm University,10691 Stockholm,Sweden Efremov, Maxim DLR, Neustrelitz Deutsches Zentrum für Luft- und Raumfahrt (DLR),Institut für Quantentechnologien,Wilhelm-Runge-Straße 10,89081 Ulm,Germany Ekelof, Tord ROR:https://ror.org/048a87296 Uppsala U. FREIA Laboratory Division,Department of Physics and Astronomy,Uppsala University,Box 516,751 20 Uppsala,Sweden Elertas, Gedminas ROR:https://ror.org/04xs57h96 Liverpool U. Department of Physics,University of Liverpool,Merseyside,L69 7ZE,UK Ellis, John ROR:https://ror.org/0220mzb33 King's Coll. London Physics Department,King's College London,London,WC2R 2LS,UK Evans, David ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department,Imperial College,Prince Consort Road,London,SW7 2AZ,UK Fadeev, Pavel ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Johannes Gutenberg University,Staudingerweg 7,55128 Mainz,Germany Fanì, Mattia ORCID:0000-0002-4284-9614 ROR:https://ror.org/01e41cf67 Los Alamos Los Alamos National Laboratory,Los Alamos NM 87545,USA Fassi, Farida ROR:https://ror.org/00r8w8f84 Rabat U. Faculty of Sciences,Mohammed V University in Rabat,4 Avenue Ibn Battouta B.P. 1014 RP,Rabat,Morocco Fattori, Marco ROR:https://ror.org/02vv5y108 ROR:https://ror.org/04jr1s763 INFN, Florence Florence U. Department of Physics and Astronomy,University of Firenze,50019 Sesto Fiorentino,Italy Fayet, Pierre LPENS, Paris Laboratoire de physique de l'ENS,Ecole Normale Supérieure-PSL,CNRS,Sorbonne Université,Université Paris Cité,24 rue Lhomond,75231 Paris Cedex 05,France; and CPhT,Ecole polytechnique,IPP,Palaiseau,France Felea, Daniel ROR:https://ror.org/054a6wv56 Bucharest, Inst. Space Science Institute of Space Science,409 Atomistilor Street,Bucharest,Magurele,Ilfov,077125,Romania Feng, Jie ROR:https://ror.org/0064kty71 Zhongshan U., Zhuhai School of Science,Shenzhen Campus of Sun Yat-sen University,Shenzhen 518107,China Friedrich, Alexander Ulm U. Institut für Quantenphysik and Center for Integrated Quantum Science and Technology (IQST),Universität Ulm,Albert-Einstein-Allee 11,89081 Ulm,Germany Fuchs, Elina ORCID:0000-0002-0345-2948 ROR:https://ror.org/0304hq317 ROR:https://ror.org/05r3f7h03 Leibniz U., Hannover Braunschweig, Phys. Tech. Bund. Leibniz Universität Hannover,Welfengarten 1,30167 Hannover,Germany Physikalisch-Technische Bundesanstalt,Bundesallee 100,38116 Braunschweig,Germany Gaaloul, Naceur ROR:https://ror.org/0304hq317 Leibniz U., Hannover Leibniz Universität Hannover,Welfengarten 1,30167 Hannover,Germany Gao, Dongfeng Wuhan, MRAMP CAS, APM, Wuhan State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics,Wuhan Institute of Physics and Mathematics,Innovation Academy for Precision Measurement Science and Technology,Chinese Academy of Sciences,Wuhan 430071,China Gardner, Susan ORCID:0000-0002-6166-5546 ROR:https://ror.org/02k3smh20 Kentucky U. Department of Physics and Astronomy,University of Kentucky,Lexington,KY 40506-0055,USA Garraway, Barry ROR:https://ror.org/00ayhx656 Sussex U. Department of Physics and Astronomy,University of Sussex,Brighton,BN1 9QH,UK Gauguet, Alexandre LCAR, Toulouse Laboratoire Collisions Agrégats Réactivité,CNRS,Université Toulouse III - Paul Sabatier,Toulouse,France Gerlach, Sandra DLR, Neustrelitz Deutsches Zentrum für Luft- und Raumfahrt (DLR),Institut für Satellitengeodäsie und Inertialsensorik,Callinstr. 30b,30167 Hannover,Germany Gersemann, Matthias ROR:https://ror.org/0304hq317 Leibniz U., Hannover Leibniz Universität Hannover,Welfengarten 1,30167 Hannover,Germany Gibson, Valerie ROR:https://ror.org/013meh722 Cambridge U. Cavendish Laboratory,University of Cambridge,J. J. Thomson Avenue,Cambridge CB3 0HE,UK Giese, Enno ROR:https://ror.org/05n911h24 Darmstadt, Tech. U. Technische Universität Darmstadt,Fachbereich Physik,Institut für Angewandte Physik,Schlossgartenstr. 7,D-64289 Darmstadt,Germany Giudice, Gian F. ROR:https://ror.org/01ggx4157 CERN CERN,CH-1211 Geneva 23,Switzerland Glasbrenner, Eric P. Ulm U. Institut für Quantenphysik and Center for Integrated Quantum Science and Technology (IQST),Universität Ulm,Albert-Einstein-Allee 11,89081 Ulm,Germany Gündoğan, Mustafa ROR:https://ror.org/01hcx6992 Humboldt U., Berlin Institut für Physik,Humboldt-Universität zu Berlin,Newtonstraße 15,Berlin 12489, Germany Haehnelt, Martin ROR:https://ror.org/013meh722 Cambridge U., Inst. of Astron. Kavli Institute for Cosmology and Institute of Astronomy,Madingley Road,Cambridge,CB3 0HA,UK Hakulinen, Timo ROR:https://ror.org/01ggx4157 CERN CERN,CH-1211 Geneva 23,Switzerland Hammerer, Klemens ORCID:0000-0002-7179-0666 ROR:https://ror.org/0304hq317 Leibniz U., Hannover Leibniz Universität Hannover,Welfengarten 1,30167 Hannover,Germany Hanımeli, Ekim T. Bremen U., ZARM ZARM Center of Applied Space Technology and Microgravity,Universität Bremen,Bremen,Germany Harte, Tiffany ROR:https://ror.org/013meh722 Cambridge U. Cavendish Laboratory,University of Cambridge,J. J. Thomson Avenue,Cambridge CB3 0HE,UK Hawkins, Leonie ROR:https://ror.org/04xs57h96 Liverpool U. Department of Physics,University of Liverpool,Merseyside,L69 7ZE,UK Hees, Aurelien ORCID:0000-0002-2186-644X SYRTE, Paris SYRTE,Observatoire de Paris,Université PSL,CNRS,Sorbonne Université,LNE,61 avenue de l’Observatoire 75014 Paris,France Heise, Jaret Sanford Underground Lab. Sanford Underground Research Facility,Lead,SD,USA Henderson, Victoria A. ROR:https://ror.org/01hcx6992 Humboldt U., Berlin Institut für Physik,Humboldt-Universität zu Berlin,Newtonstraße 15,Berlin 12489, Germany Herrmann, Sven Bremen U., ZARM ZARM Center of Applied Space Technology and Microgravity,Universität Bremen,Bremen,Germany Hird, Thomas M. ROR:https://ror.org/052gg0110 Oxford U. University of Oxford,South Parks Road,Oxford OX1 3PU,UK Hogan, Jason M. ROR:https://ror.org/00f54p054 Stanford U., Phys. Dept. Department of Physics,Stanford University,Stanford,California 94305,USA Holst, Bodil ROR:https://ror.org/03zga2b32 Bergen U. Department of Physics and Technology,University of Bergen,Allegaten 55,5007 Bergen,Norway Holynski, Michael ROR:https://ror.org/03angcq70 Birmingham U. University of Birmingham,Birmingham,B15 2TT,UK Hussain, Kamran ROR:https://ror.org/04xs57h96 Liverpool U. Department of Physics,University of Liverpool,Merseyside,L69 7ZE,UK Janson, Gregor Ulm U. Institut für Quantenphysik and Center for Integrated Quantum Science and Technology (IQST),Universität Ulm,Albert-Einstein-Allee 11,89081 Ulm,Germany Jeglič, Peter ROR:https://ror.org/05060sz93 Stefan Inst., Ljubljana Jožef Stefan Institute,Jamova 39,SI-1000 Ljubljana,Slovenia Jelezko, Fedor Ulm U. Institut für Quantenphysik and Center for Integrated Quantum Science and Technology (IQST),Universität Ulm,Albert-Einstein-Allee 11,89081 Ulm,Germany Kagan, Michael ROR:https://ror.org/05gzmn429 SLAC Fundamental Physics Directorate,SLAC National Accelerator Laboratory,Menlo Park,CA,USA Kalliokoski, Matti ROR:https://ror.org/01x2x1522 ROR:https://ror.org/040af2s02 Helsinki Inst. of Phys. Helsinki U. Detector Laboratory,Helsinki Institute of Physics,P.O.Box 64,Gustaf Hallstromin katu 2,00014,University of Helsinki,Finland Kasevich, Mark ROR:https://ror.org/00f54p054 Stanford U., Phys. Dept. Department of Physics,Stanford University,Stanford,California 94305,USA Kehagias, Alex ROR:https://ror.org/03cx6bg69 Natl. Tech. U., Athens Physics Division,National Technical University of Athens,Athens,15780,Greece Kilian, Eva ROR:https://ror.org/02jx3x895 University Coll. London Department of Physics & Astronomy,University College London,WC1E 6BT London,UK Koley, Soumen ROR:https://ror.org/043qcb444 GSSI, Aquila Department of Physics,Gran Sasso Science Institute,viale Francesco Crispi 7,67100 L'Aquila,Italy Konrad, Bernd DLR, Neustrelitz Deutsches Zentrum für Luft- und Raumfahrt (DLR),Institut für Quantentechnologien,Wilhelm-Runge-Straße 10,89081 Ulm,Germany Kopp, Joachim ROR:https://ror.org/01ggx4157 ROR:https://ror.org/023b0x485 ROR:https://ror.org/023b0x485 CERN Mainz U., Inst. Phys. U. Mainz, PRISMA CERN,CH-1211 Geneva 23,Switzerland Johannes Gutenberg University,Staudingerweg 7,55128 Mainz,Germany PRISMA Cluster of Excellence & Mainz Institute for Theoretical Physics,Johannes Gutenberg University,Staudingerweg 7,55128 Mainz,Germany Kornakov, Georgy ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology,Faculty of Physics,ul. Koszykowa 75,00-662 Warszawa,Poland Kovachy, Tim ROR:https://ror.org/000e0be47 Northwestern U. Department of Physics and Astronomy and Center for Fundamental Physics,Northwestern University,Evanston,IL,USA Krutzik, Markus ROR:https://ror.org/01hcx6992 Humboldt U., Berlin Institut für Physik,Humboldt-Universität zu Berlin,Newtonstraße 15,Berlin 12489, Germany Kumar, Mukesh ROR:https://ror.org/03rp50x72 Witwatersrand U. School of Physics and Institute for Collider Particle Physics,University of the Witwatersrand,1 Jan Smuts Ave,Braamfontein,Johannesburg,2000,South Africa Kumar, Pradeep ROR:https://ror.org/02rb21j89 IISER, Bhopal Experimental Condensed Matter Physics Group,Ultrafast Coherent Spectroscopy Laboratory,Indian Institute of Science Education and Research,Bhopal,462066,India Lämmerzahl, Claus Bremen U., ZARM ZARM Center of Applied Space Technology and Microgravity,Universität Bremen,Bremen,Germany Landsberg, Greg ROR:https://ror.org/05gq02987 Brown U. Department of Physics,Brown University,182 Hope St.,Providence,RI 02912,USA Langlois, Mehdi ROR:https://ror.org/027k65916 Caltech, JPL Jet Propulsion Laboratory,California Institute of Technology,Pasadena,California 91109,USA Lanigan, Bryony ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department,Imperial College,Prince Consort Road,London,SW7 2AZ,UK Lellouch, Samuel ROR:https://ror.org/03angcq70 Birmingham U. University of Birmingham,Birmingham,B15 2TT,UK Leone, Bruno ROR:https://ror.org/03gq8fr08 Rutherford Optoelectronics Section,Directorate of Technology,Engineering and Quality,European Space Agency,,Fermi Avenue,Harwell Campus,Didcot,OX11 0FD,UK Le Poncin-Lafitte, Christophe SYRTE, Paris SYRTE,Observatoire de Paris,Université PSL,CNRS,Sorbonne Université,LNE,61 avenue de l’Observatoire 75014 Paris,France Lewicki, Marek ORCID:0000-0002-8378-0107 ROR:https://ror.org/039bjqg32 Warsaw U. Faculty of Physics,University of Warsaw ul. Pasteura 5,02-093 Warsaw,Poland Leykauf, Bastian ROR:https://ror.org/01hcx6992 Humboldt U., Berlin Institut für Physik,Humboldt-Universität zu Berlin,Newtonstraße 15,Berlin 12489, Germany Lezeik, Ali ROR:https://ror.org/0304hq317 Leibniz U., Hannover Leibniz Universität Hannover,Welfengarten 1,30167 Hannover,Germany Lombriser, Lucas ROR:https://ror.org/01swzsf04 Geneva U., Dept. Theor. Phys. Département de Physique Théorique,Université de Genève,24 quai Ernest Ansermet,1211 Genève 4,Switzerland Lopez-Gonzalez, J.L. Sinaloa U. Department of Mathematics and Physics,Autonomous University of Aguascalientes,Av. Universidad 940,Aguascalientes,20100,Mexico Lopez Asamar, Elias ROR:https://ror.org/01cby8j38 Madrid, Autonoma U. Departamento de Fśica Téorica,Universidad Autónoma de Madrid,Madrid,28049,Spain Monjaraz, Cristian López ROR:https://ror.org/059sp8j34 CIIDET, Mexico CINVESTAV, IPN Laboratorio de Tecnologías Cuánticas,Cinvestav Unidad Querétaro,Libramiento Norponiente No. 2000,Fracc. Real de Juriquilla,76230,Querétaro,Mexico Luciano, Gaetano Lleida U. Applied Physics Section of Environmental Science Department,Escola Politècnica Superior,Universitat de Lleida,Av. Jaume II,69,25001 Lleida,Spain Mohammed, Mohammed Mahmoud Mahmoud, M.A. ROR:https://ror.org/023gzwx10 Fayoum U. Center for High Energy Physics (CHEP-FU),Fayoum University,63514- El-Fayoum,Egypt Maleknejad, Azadeh ROR:https://ror.org/01ggx4157 CERN CERN,CH-1211 Geneva 23,Switzerland Krutzik, Markus ROR:https://ror.org/01hcx6992 ROR:https://ror.org/02be22443 LCAR, Toulouse Humboldt U., Berlin Berlin FBI Laboratoire Collisions Agrégats Réactivité,CNRS,Université Toulouse III - Paul Sabatier,Toulouse,France Institut für Physik,Humboldt-Universität zu Berlin,Newtonstraße 15,Berlin 12489, Germany Ferdinand-Braun-Institut (FBH),Gustav-Kirchoff-Str.4,12489 Berlin Marteau, Jacques ROR:https://ror.org/02avf8f85 IP2I, Lyon Universite Claude Bernard Lyon 1,IP2I,UMR5822,CNRS-IN2P3,Villeurbanne,69622,France Massonnet, Didier CNES, Toulouse French Space Agency,Centre Spatial de Toulouse,18 Avenue E. Belin,Toulouse,31400,France Mazumdar, Anupam ORCID:0000-0002-0967-8964 ROR:https://ror.org/012p63287 U. Groningen, VSI Van Swinderen Institute,University of Groningen,9747 AG,Groningen,The Netherlands McCabe, Christopher ROR:https://ror.org/0220mzb33 King's Coll. London Physics Department,King's College London,London,WC2R 2LS,UK Meister, Matthias DLR, Neustrelitz Deutsches Zentrum für Luft- und Raumfahrt (DLR),Institut für Quantentechnologien,Wilhelm-Runge-Straße 10,89081 Ulm,Germany Menu, Jonathan ROR:https://ror.org/05f950310 Leuven U. Institute for Theoretical Physics,KU Leuven,Celestijnenlaan 200D,3001 Leuven,Belgium Messineo, Giuseppe ROR:https://ror.org/00z34yn88 INFN, Padua INFN Sezione di Padova,Via F. Marzolo 8,I-35131 Padova,Italy Micalizio, Salvatore INRIM, Turin Istituto Nazionale di Ricerca Metrologica,INRIM,Strada delle Cacce 91,10135 Torino,Italy Millington, Peter ORCID:0000-0001-6942-8257 ROR:https://ror.org/027m9bs27 Manchester U. Department of Physics and Astronomy,University of Manchester,Manchester M13 9PL,UK Milosevic, Milan Nis U. Faculty of Sciences and Mathematics,University of Nis,Nis,Serbia Mitchell, Jeremiah ROR:https://ror.org/013meh722 Cambridge U. Cavendish Laboratory,University of Cambridge,J. J. Thomson Avenue,Cambridge CB3 0HE,UK Montero, Mario ROR:https://ror.org/0304hq317 Leibniz U., Hannover Leibniz Universität Hannover,Welfengarten 1,30167 Hannover,Germany Morley, Gavin W. ROR:https://ror.org/01a77tt86 Warwick U. Department of Physics,University of Warwick,Coventry CV4 7AL,UK Müller, Jürgen ROR:https://ror.org/0304hq317 Leibniz U., Hannover Leibniz Universität Hannover,Welfengarten 1,30167 Hannover,Germany Müstecaplıoğlu, Özgür E. TUBITAK Res. Inst. KoçUniversity,Department of Physics,Sarıyer,Istanbul,34450,Türkıye; TÜBITAK Research Institute for Fundamental Sciences,41470 Gebze,Türkıye Ni, Wei-Tou Wuhan, MRAMP CAS, APM, Wuhan State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics,Wuhan Institute of Physics and Mathematics,Innovation Academy for Precision Measurement Science and Technology,Chinese Academy of Sciences,Wuhan 430071,China Noller, Johannes ROR:https://ror.org/02jx3x895 ROR:https://ror.org/03ykbk197 University Coll. London Portsmouth U., ICG Department of Physics & Astronomy,University College London,WC1E 6BT London,UK Institute of Cosmology & Gravitation,University of Portsmouth,Portsmouth,PO1 3FX,UK Odžak, Senad ROR:https://ror.org/02crff812 Zurich U. University of Sarajevo - Faculty of Science,Zmaja od Bosne 33-35,71000 Sarajevo,Bosnia and Herzegovina Oi, Daniel K.L. SUPA, UK Strathclyde U. Waterford Inst. Technol. SUPA Department of Physics,University of Strathclyde,Glasgow,G4 0NG,UK Walton Institute for Information and Communication Systems Science,South East Technological University,Waterford,X91 P20H,Ireland Omar, Yasser ROR:https://ror.org/01c27hj86 Taguspark, IST Lisbon, CENTRA ITN, Lisbon Instituto de Telecomunicações,Instituto Superior Técnico,Av. Rovisco Pais,Torre Norte,Lisboa,1049-001,Portugal Physics of Information and Quantum Technologies Group,Centro de Física e Engenharia de Materiais Avançados (CeFEMA),Portugal PQI - Portuguese Quantum Institute,Portugal Pahl, Julia ROR:https://ror.org/01hcx6992 Humboldt U., Berlin Institut für Physik,Humboldt-Universität zu Berlin,Newtonstraße 15,Berlin 12489, Germany Paling, Sean Boulby Underground Lab. Boulby Underground Laboratory,Boulby Mine,Saltburn-by-the-Sea,TS13 4UZ,UK Pandey, Saurabh ROR:https://ror.org/01e41cf67 Los Alamos Los Alamos National Laboratory,Los Alamos NM 87545,USA Pappas, George ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics,Aristotle University of Thessaloniki,54124 Thessaloniki,Greece Pareek, Vinay ROR:https://ror.org/00dr28g20 Crete U. IESL, Heraklion Foundation for Research and Technology (FORTH),Institute of Electronic Structure and Lasers (IESL),Heraklion,Crete,Greece Pasatembou, Elizabeth ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department,Imperial College,Prince Consort Road,London,SW7 2AZ,UK Pelucchi, Emanuele University Coll., Cork Tyndall National Institute-University College Cork,Cork,Ireland dos Santos, Franck Pereira SYRTE, Paris SYRTE,Observatoire de Paris,Université PSL,CNRS,Sorbonne Université,LNE,61 avenue de l’Observatoire 75014 Paris,France Piest, Baptist ROR:https://ror.org/0304hq317 Leibniz U., Hannover Leibniz Universität Hannover,Welfengarten 1,30167 Hannover,Germany Pikovski, Igor ROR:https://ror.org/05f0yaq80 Stockholm U. Stevens Tech. Department of Physics,Stockholm University,10691 Stockholm,Sweden Department of Physics,Stevens Institute of Technology,Hoboken,NJ,USA Pilaftsis, Apostolos ORCID:0000-0001-6217-2711 ROR:https://ror.org/027m9bs27 Manchester U. Department of Physics and Astronomy,University of Manchester,Manchester M13 9PL,UK Plunkett, Robert ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory,POB 500,Batavia,IL 60510,USA Poggiani, Rosa ROR:https://ror.org/03ad39j10 Pisa U. Dipartimento di Fisica "Enrico Fermi",Università di Pisa,56127 Pisa,Italy Prevedelli, Marco ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 U. Bologna, DIFA INFN, Bologna Department of Physics and Astronomy,University of Bologna,Bologna,Italy Puputti, Julia ROR:https://ror.org/03yj89h83 Oulu U. Callio Lab,Kerttu Saalasti Institute,University of Oulu,Pentti Kaiteran katu 1,Oulu,90570,Finland Veettil, Vishnupriya Puthiya ROR:https://ror.org/00dr28g20 Crete U. IESL, Heraklion Foundation for Research and Technology (FORTH),Institute of Electronic Structure and Lasers (IESL),Heraklion,Crete,Greece Quenby, John ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department,Imperial College,Prince Consort Road,London,SW7 2AZ,UK Rafelski, Johann ROR:https://ror.org/03m2x1q45 Arizona U. Department of Physics,The University of Arizona,Tucson,AZ 85721,USA Rajendran, Surjeet ORCID:0000-0001-9915-3573 ROR:https://ror.org/00za53h95 Johns Hopkins U. Department of Physics & Astronomy,The Johns Hopkins University,Baltimore,MD 21218,USA Rasel, Ernst Maria ROR:https://ror.org/0304hq317 Leibniz U., Hannover Leibniz Universität Hannover,Welfengarten 1,30167 Hannover,Germany Sfar, Haifa Rejeb ROR:https://ror.org/01y64my43 SUNY, Buffalo Department of Physics,University at Buffalo,239 Fronczak Hall,New York,USA Reynaud, Serge ROR:https://ror.org/01h14ww21 Paris, Lab. Kastler Brossel Laboratoire Kastler Brossel,Sorbonne Université,ENS-PSL,CNRS,Paris,France Richaud, Andrea ROR:https://ror.org/03mb6wj31 Barcelona, Polytechnic U. Departament de Física,Universitat Politècnica de Catalunya,Campus Nord B4-B5,E-08034 Barcelona,Spain Rodzinka, Tangui LCAR, Toulouse Laboratoire Collisions Agrégats Réactivité,CNRS,Université Toulouse III - Paul Sabatier,Toulouse,France Roura, Albert DLR, Neustrelitz Deutsches Zentrum für Luft- und Raumfahrt (DLR),Institut für Quantentechnologien,Wilhelm-Runge-Straße 10,89081 Ulm,Germany Rudolph, Jan ROR:https://ror.org/00f54p054 Stanford U., Phys. Dept. Department of Physics,Stanford University,Stanford,California 94305,USA Sabulsky, Dylan O. LSBB, Rustrel Laboratoire Souterrain àBas Bruit (LSBB),CNRS: UAR3538,Avignon University,Rustrel F-84400,France Safronova, Marianna S. ROR:https://ror.org/01sbq1a82 Delaware U. Department of Physics and Astronomy,University of Delaware,Newark,Delaware 19716,USA Santamaria, Luigi ROR:https://ror.org/034zgem50 ASI, Rome ICRA, Rio de Janeiro Italian Space Agency,Località Terlecchia snc,75100 Matera,Italy Schilling, Manuel DLR, Neustrelitz Deutsches Zentrum für Luft- und Raumfahrt (DLR),Institut für Satellitengeodäsie und Inertialsensorik,Callinstr. 30b,30167 Hannover,Germany Schkolnik, Vladimir ROR:https://ror.org/01hcx6992 Humboldt U., Berlin Institut für Physik,Humboldt-Universität zu Berlin,Newtonstraße 15,Berlin 12489, Germany Schleich, Wolfgang ROR:https://ror.org/01f5ytq51 Ulm U. Texas A-M Institut für Quantenphysik and Center for Integrated Quantum Science and Technology (IQST),Universität Ulm,Albert-Einstein-Allee 11,89081 Ulm,Germany Institute for Quantum Science and Engineering (IQSE),and Texas A&M AgriLife Research and Hagler Institute for Advanced Study,Texas A&M University,College Station,TX 77843-4242,USA Schlippert, Dennis ROR:https://ror.org/0304hq317 Leibniz U., Hannover Leibniz Universität Hannover,Welfengarten 1,30167 Hannover,Germany Schneider, Ulrich ROR:https://ror.org/013meh722 Cambridge U. Cavendish Laboratory,University of Cambridge,J. J. Thomson Avenue,Cambridge CB3 0HE,UK Schreck, Florian ROR:https://ror.org/04dkp9463 Amsterdam U. Van der Waals-Zeeman Institute,Institute of Physics,University of Amsterdam,Science Park 904,1098XH Amsterdam,The Netherlands Schubert, Christian DLR, Neustrelitz Deutsches Zentrum für Luft- und Raumfahrt (DLR),Institut für Satellitengeodäsie und Inertialsensorik,Callinstr. 30b,30167 Hannover,Germany Schwersenz, Nico DLR, Neustrelitz Deutsches Zentrum für Luft- und Raumfahrt (DLR),Institut für Quantentechnologien,Wilhelm-Runge-Straße 10,89081 Ulm,Germany Semakin, Aleksei ROR:https://ror.org/05vghhr25 Turku U. Wihuri Physical Laboratory,Department of Physics and Astronomy,University of Turku,20014 Turku,Finland Sergijenko, Olga ROR:https://ror.org/00bas1c41 AGH-UST, Cracow Main Astronomical Observatory of the National Academy of Sciences of Ukraine,Zabolotnoho str.,27,03143,Kyiv,Ukraine; AGH University of Science and Technology,Aleja Mickiewicza,30,30-059,Krakow,Poland Shao, Lijing ORCID:0000-0002-1334-8853 Peking U., Beijing, KIAA Kavli Institute for Astronomy and Astrophysics,Peking University,Beijing 100871,China Shipsey, Ian ROR:https://ror.org/052gg0110 Oxford U. University of Oxford,South Parks Road,Oxford OX1 3PU,UK Singh, Rajeev ROR:https://ror.org/05qghxh33 Stony Brook U. Center for Nuclear Theory,Department of Physics and Astronomy,Stony Brook University,Stony Brook,New York,11794-3800,USA Smerzi, Augusto Florence U., LENS QSTAR,INO-CNR and LENS,Largo Enrico Fermi 2,50125 Firenze,Italy Sopuerta, Carlos F. ROR:https://ror.org/052g8jq94 ROR:https://ror.org/01vbgty78 ICE, Bellaterra CSIC, Catalunya Barcelona, IEEC Institut de Ciències de l'Espai (ICE,CSIC),Campus UAB,Carrer de Can Magrans s/n,08193 Cerdanyola del Vallès,Spain; Institut d'Estudis Espacials de Catalunya (IEEC),Edifici Nexus,Carrer del Gran Capità 2-4,despatx 201,08034 Barcelona,Spain Spallicci, Alessandro D.A.M. LPC2E, Orleans Université d'Orléans,Laboratoire de Physique et Chimie de l'Environnement et de l'Espace,3A Avenue de la Recherche Scientifique,45071 Orléans,France Stefanescu, Petruta ROR:https://ror.org/054a6wv56 Bucharest, Inst. Space Science Institute of Space Science,409 Atomistilor Street,Bucharest,Magurele,Ilfov,077125,Romania Stergioulas, Nikolaos ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics,Aristotle University of Thessaloniki,54124 Thessaloniki,Greece Ströhle, Jannik Ulm U. Institut für Quantenphysik and Center for Integrated Quantum Science and Technology (IQST),Universität Ulm,Albert-Einstein-Allee 11,89081 Ulm,Germany Struckmann, Christian ROR:https://ror.org/0304hq317 Leibniz U., Hannover Leibniz Universität Hannover,Welfengarten 1,30167 Hannover,Germany Tentindo, Silvia ROR:https://ror.org/05g3dte14 Florida State U. High Energy Physics Group,Department of Physics,Florida State University,513 Keen Building,Tallahassee,FL 32306,USA Throssell, Henry ROR:https://ror.org/04xs57h96 Liverpool U. Department of Physics,University of Liverpool,Merseyside,L69 7ZE,UK Tino, Guglielmo M. ROR:https://ror.org/02vv5y108 ROR:https://ror.org/04jr1s763 INFN, Florence Florence U. Department of Physics and Astronomy,University of Firenze,50019 Sesto Fiorentino,Italy Tinsley, Jonathan N. ROR:https://ror.org/04xs57h96 Liverpool U. Department of Physics,University of Liverpool,Merseyside,L69 7ZE,UK Mircea, Ovidiu Tintareanu ROR:https://ror.org/054a6wv56 Bucharest, Inst. Space Science Institute of Space Science,409 Atomistilor Street,Bucharest,Magurele,Ilfov,077125,Romania Tkalčec, Kimberly ROR:https://ror.org/013meh722 Cambridge U. Cavendish Laboratory,University of Cambridge,J. J. Thomson Avenue,Cambridge CB3 0HE,UK Tolley, Andrew.J. ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department,Imperial College,Prince Consort Road,London,SW7 2AZ,UK Tornatore, Vincenza ROR:https://ror.org/04w4m6z96 INFN, Milan Politecnico di Milano,DICA,Geodetic and Geomatics,Milano,Italy Torres-Orjuela, Alejandro ORCID:0000-0002-5467-3505 ROR:https://ror.org/0064kty71 Zhongshan U., Zhuhai TianQin Center for Gravitational Physics,Sun Yat-Sen University (Zhuhai Campus),Zhuhai,Guangdong,China Treutlein, Philipp ROR:https://ror.org/02s6k3f65 Basel U. Department of Physics,University of Basel,Klingelbergstrasse 82,4056 Basel,Switzerland Trombettoni, Andrea ROR:https://ror.org/004fze387 SISSA, Trieste Department of Physics,University of Trieste,Strada Costiera 11,34151 Trieste,Italy Tsai, Yu-Dai ROR:https://ror.org/04gyf1771 UC, Irvine University of California,Irvine,CA 92617,USA Ufrecht, Christian ROR:https://ror.org/024ape423 Fraunhofer Inst., Erlangen Self-Learning Systems Group,Fraunhofer IIS,Nuremberg,Bavaria,Germany Ulmer, Stefan ROR:https://ror.org/024z2rq82 Heinrich Heine U., Dusseldorf Institute for Experimental Physics,Heinrich Heine University,Düsseldorf,Universitätsstrasse 1,40225 Düsseldorf,Germany Valuch, Daniel ROR:https://ror.org/0561ghm58 Bratislava, Slovak Tech. U. Faculty of Electrical Engineering and Information Technology,Slovak University of Technology in Bratislava,Bratislava,Slovakia Vaskonen, Ville ORCID:0000-0003-0003-2259 ROR:https://ror.org/00z34yn88 ROR:https://ror.org/03eqd4a41 INFN, Padua NICPB, Tallinn INFN Sezione di Padova,Via F. Marzolo 8,I-35131 Padova,Italy Keemilise ja Bioloogilise Füüsika Instituut,Rävala pst. 10,10143 Tallinn,Estonia Dipartimento di Fisica e Astronomia,Università degli Studi di Padova,Via Marzolo 8,35131 Padova,Italy Vazquez-Aceves, Veronica Peking U., Beijing, KIAA Kavli Institute for Astronomy and Astrophysics,Peking University,100871 Beijing,China Vitanov, Nikolay V. ROR:https://ror.org/02jv3k292 Sofiya U. Department of Physics,Sofia University,5 James Bourchier blvd.,Sofia 1164,Bulgaria Vogt, Christian Bremen U., ZARM BIAS,Institute of Applied Beam Technology,Klagenfurther Str.,28359 Bremen,Germany von Klitzing, Wolf ROR:https://ror.org/00dr28g20 Crete U. IESL, Heraklion Foundation for Research and Technology (FORTH),Institute of Electronic Structure and Lasers (IESL),Heraklion,Crete,Greece Vukics, András ROR:https://ror.org/035dsb084 Wigner RCP, Budapest HUN-REN Wigner Research Centre for Physics H-1525 Budapest,P.O. Box 49.,Hungary Walser, Reinhold ROR:https://ror.org/05n911h24 Darmstadt, Tech. U. Technische Universität Darmstadt,Fachbereich Physik,Institut für Angewandte Physik,Schlossgartenstr. 7,D-64289 Darmstadt,Germany Wang, Jin Wuhan, MRAMP CAS, APM, Wuhan State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics,Wuhan Institute of Physics and Mathematics,Innovation Academy for Precision Measurement Science and Technology,Chinese Academy of Sciences,Wuhan 430071,China Warburton, Niels ROR:https://ror.org/02tyrky19 Hamilton Math. Inst., Dublin School of Mathematics and Statistics,University College Dublin,Belfield,Dublin 4,Ireland,D04 V1W8 Webber-Date, Alexander ROR:https://ror.org/04xs57h96 Liverpool U. Department of Physics,University of Liverpool,Merseyside,L69 7ZE,UK Wenzlawski, André ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Johannes Gutenberg University,Staudingerweg 7,55128 Mainz,Germany Werner, Michael ROR:https://ror.org/0304hq317 Leibniz U., Hannover Leibniz Universität Hannover,Welfengarten 1,30167 Hannover,Germany Williams, Jason ROR:https://ror.org/027k65916 Caltech, JPL Jet Propulsion Laboratory,California Institute of Technology,Pasadena,California 91109,USA Windpassinger, Patrick ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Johannes Gutenberg University,Staudingerweg 7,55128 Mainz,Germany Windapssinger, Patrcik Wolf, Peter SYRTE, Paris SYRTE,Observatoire de Paris,Université PSL,CNRS,Sorbonne Université,LNE,61 avenue de l’Observatoire 75014 Paris,France Woerner, Lisa DLR, Neustrelitz Deutsches Zentrum für Luft- und Raumfahrt (DLR),Institut für Satellitengeodäsie und Inertialsensorik,Callinstr. 30b,30167 Hannover,Germany Xuereb, André ROR:https://ror.org/03a62bv60 Malta U. Department of Physics,University of Malta,Msida,Malta Yahia, Mohamed ROR:https://ror.org/00e5k0821 New York U., Abu Dhabi Abu Dhabi Polytechnic,Institute of Applied Technology,Abu Dhabi,UAE Cruzeiro, Emmanuel Zambrini Taguspark, IST Instituto de Telecomunicações,Instituto Superior Técnico,Av. Rovisco Pais,Torre Norte,Lisboa,1049-001,Portugal Zarei, Moslem ROR:https://ror.org/00af3sa43 Isfahan Tech. U. Department of Physics,Isfahan University of Technology,Isfahan 84156-83111,Iran Zhan, Mingsheng Wuhan, MRAMP CAS, APM, Wuhan State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics,Wuhan Institute of Physics and Mathematics,Innovation Academy for Precision Measurement Science and Technology,Chinese Academy of Sciences,Wuhan 430071,China Zhou, Lin Wuhan, MRAMP CAS, APM, Wuhan State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics,Wuhan Institute of Physics and Mathematics,Innovation Academy for Precision Measurement Science and Technology,Chinese Academy of Sciences,Wuhan 430071,China Zupan, Jure ROR:https://ror.org/01e3m7079 Cincinnati U. Department of Physics,University of Cincinnati,Cincinnati,Ohio 45221,USA Zupanič, Erik ROR:https://ror.org/05060sz93 Stefan Inst., Ljubljana Jožef Stefan Institute,Jamova 39,SI-1000 Ljubljana,Slovenia 2 AVS Quantum Sci. 6 C23-03-13.4 2024 https://lss.fnal.gov/archive/2023/conf/fermilab-conf-23-430-etd.pdf Fermilab Library Server 2484610 4963 http://cds.cern.ch/record/2875594/files/TVLBAI_configuration_vertical.png 00015 GGN mitigation using a multigradiometer configuration. \textit{Left panel}: projected 95\%~CL exclusion sensitivities for an atom multigradiometer with the experimental parameters listed in Table~\ref{table:ExperimentalParameters} and $\mathcal{N}=5$ interferometers, assuming that GGN is modelled by the NHNM. The red dot-dashed, purple dotted and green solid lines show the atom multigradiometer exclusion curves for equally-spaced, unequally-spaced (ends) and unequally-spaced (centre) configurations. The orange shaded region is excluded by MICROSCOPE~\cite{Touboul2022}. For comparison, the grey and orange lines show the exclusion sensitivities for a single atom gradiometer ($\mathcal{N}=2$) with ASN-only and ASN-and-GGN backgrounds, respectively. \textit{Right panel}: schematic representations of the three interferometer configurations with $\mathcal{N}=5$. The purple dots show the positions of the interferometers in the `unequal spacing (ends)' configuration, the red dots show their positions in the `equal spacing' configurations, and the green dots show the `unequal spacing (centre)' configuration. 2484611 429323 http://cds.cern.ch/record/2875594/files/lsc.png 00039 A diagram of the LSC at Canfranc, showing the horizontal gallery and the vertical shaft used for ventilation~\cite{PerezPerez2022}. 2484612 15666 http://cds.cern.ch/record/2875594/files/MZAtoms.png 00001 \it Left: Outline of the principle of a Mach-Zehnder laser interferometer~\cite{Zehnder1891,Mach1892}. Right: Outline of an analogous atom interferometer. Atoms in the ground state, $\ket{g}$, are represented by solid blue lines, the dashed red lines represent atoms in the excited state, $\ket{e}$, and laser pulses are represented by wavy lines. 2484613 26198925 http://cds.cern.ch/record/2875594/files/FERMILAB-CONF-23-430-ETD.pdf Fulltext 2484614 1320560 http://cds.cern.ch/record/2875594/files/boulby_fig.png 00036 The Boulby underground laboratory, the UK's deep underground science facility operating in a working mine in the North-East of England. 2484615 8150 http://cds.cern.ch/record/2875594/files/vectorULDM.png 00010 \it Left panel: Shot noise limited projection, adapted from ref.~\cite{Abe2021}, to $B-L$ coupled vector ULDM for a dual-species interferometer (\,$^{87}\mathrm{Sr}$ and $^{88}\mathrm{Sr}$). The projections are given in terms of the acceleration sensitivities achievable with VLBAI (see text). The shaded orange region shows constraints from MICROSCOPE~\cite{Touboul2022}. Right panel: Shot noise limited projection, adapted from ref.~\cite{Graham2018}, to the spin coupling of pseudoscalar ULDM to atoms. The projections are given in terms of the interrogation time. The shaded yellow region shows bounds from supernova cooling. 2484616 320202 http://cds.cern.ch/record/2875594/files/BirminghamFringes.png 00028 {\it Upper panels:} Photographs of the five AION sidearm systems, installed at their corresponding institutions~\cite{AION:2023fpx}. {\it Bottom panel:} Measurements at the University of Birmingham of the occupation levels of an excited strontium state following atom interferometry sequences in which the phase of the final laser pulse is varied, demonstrating interference fringes analogous to those in an optical Mach-Zehnder interferometer. 2484617 815104 http://cds.cern.ch/record/2875594/files/migastatus.png 00030 (a) Fibre laser system developed by the Muquans company~\cite{Sabulsky2020}, (b) cold $^{87}$Rb atom source~\cite{Beaufils2022}, (c) standard 6 m long section under vacuum test, (d) vacuum tower in production at SAES Parma (Italy), (e) MIGA gallery within the Laboratoire Souterrain {\`a} Bas Bruit (LSBB) and installation of the first sections of the vacuum vessel~\cite{Canuel2022}. 2484618 4403338 http://cds.cern.ch/record/2875594/files/ELGAR.png 00031 Geometry of ELGAR, based on a distributed 2D array of gradiometers with baseline $L= 16.3$~km with a total baseline $L_T=$ 32.1~km. Taken from~\cite{Canuel2020}. 2484619 8031 http://cds.cern.ch/record/2875594/files/reconstruct.png 00009 \it Left panel: Projections for sensitivities to scalar ULDM linearly coupled to electrons (shot noise limited and assuming $\mathrm{SNR}=1$). The lighter-blue 100\,m baseline curve shows the oscillatory nature of the sensitivity projections, while the darker-blue and green curves show the envelope of the oscillations. Right panel: Parameter reconstruction, adapted from ref.~\cite{Badurina2023}, of an injected signal with $f_{\phi}=9.1\,\mathrm{Hz}$ and $d_{m_e}=3.7\times 10^{-5}$ (green cross) for a 1\,km baseline assuming a constant sampling frequency of $0.3$\,Hz. The purple contours show the islands of parameter space compatible with the signal at 95.4\% CL. In both panels, the shaded orange region shows constraints from MICROSCOPE~\cite{Touboul2022,Hees2018}. 2484620 20853 http://cds.cern.ch/record/2875594/files/SNRs1000.png 00005 \it Sensitivities in the $(T_*, \alpha)$ plane of AION-100 and -km, as well as other planned experiments, to the SGWB spectrum from sound waves in the plasma that could be formed in the aftermath of bubble collisions. Dashed lines show $SNR=1$ while solid lines $SNR=10$ except for AION-km GGN for which $SNR=10$ is depicted by a thick dashed line while the dotted line corresponds to $SNR=1$. Figure taken from ref~\cite{Badurina2021}. 2484621 41959 http://cds.cern.ch/record/2875594/files/CoriolisTrajectoryDeflections.png 00024 Transverse deflections of atomic trajectories due to Coriolis forces. (a) and (b) show trajectories in the vertical dimension for 10\;m and 80\;m launch heights, respectively. (c) Transverse trajectory deflections for a 10\;m launch height. Dashed red curve: Purely vertical launch. Solid black curve: Launch angle adjusted by $5 \times 10^{-5}$\;rad to minimize transverse deflections. (d) Transverse trajectory deflections for a 80\;m launch height. Dashed red curve: Purely vertical launch. Solid black curve: Launch angle adjusted by $1.4 \times 10^{-4}$\;rad to minimize transverse deflections. 2484622 53410 http://cds.cern.ch/record/2875594/files/SuperModExamplePlot.png 00006 \it Left panel: Cosmic super string spectrum with $G\mu=10^{-11.75}$ and intercommutation probability $p=10^{-2.25}$ in standard cosmology together with its possible modifications by a period of kination or matter domination (MD) ending at temperatures $T > 5$~MeV and $5$~GeV. The grey violins indicate the spectra capable of explaining the NANOGrav 15yr data. Right panel: Sensitivity of various experiments to a modification of the expansion rate at a temperature $T_\Delta$ for a given value of the string tension $G\mu$ with $p=1$. The gray bands indicate values favoured by the NANOGrav 12.5yr data~\cite{Arzoumanian2020,Ellis2021}. The right panel was taken from ref~\cite{Badurina2021}. 2484623 29950 http://cds.cern.ch/record/2875594/files/DeltaDetectionPlot.png 00007 \it Left panel: Cosmic super string spectrum with $G\mu=10^{-11.75}$ and intercommutation probability $p=10^{-2.25}$ in standard cosmology together with its possible modifications by a period of kination or matter domination (MD) ending at temperatures $T > 5$~MeV and $5$~GeV. The grey violins indicate the spectra capable of explaining the NANOGrav 15yr data. Right panel: Sensitivity of various experiments to a modification of the expansion rate at a temperature $T_\Delta$ for a given value of the string tension $G\mu$ with $p=1$. The gray bands indicate values favoured by the NANOGrav 12.5yr data~\cite{Arzoumanian2020,Ellis2021}. The right panel was taken from ref~\cite{Badurina2021}. 2484624 30003 http://cds.cern.ch/record/2875594/files/TVLBAI_Sensitivity_GGN_both_AION1km_opt_N2_cH.png 00012 Impact of GGN on the projected 95\% CL exclusion sensitivity to the ULDM-electron coupling of a single atom gradiometer with the design parameters defined in Table~\ref{table:ExperimentalParameters}. \textit{Left panel}: comparison between the atom shot noise (ASN) (grey) and ASN-plus-GGN-limited sensitivities assuming that the GGN background is described by the Peterson NHNM (orange) or NLNM (blue). The solid and dotted lines are for Rayleigh wave velocities $c_H = 205\,\mathrm{m\,s}^{-1}$ and $c_H = 3232\,\mathrm{m\,s}^{-1}$, respectively. \textit{Right panel}: projected 95\% CL exclusion sensitivities for different values of $\Delta z$ and different atom interferometer positions, where we assume the NHNM and $c_H = 205\,\mathrm{m\,s}^{-1}$. We show exclusion curves for interferometers located towards the Earth's surface (green) and towards the bottom of the shaft (purple), assuming $\Delta z = 100$\,m but keeping all other experimental parameters unchanged. In both panels, the orange shaded region is excluded by MICROSCOPE~\cite{Touboul2022}. 2484625 8745 http://cds.cern.ch/record/2875594/files/beyondGR.png 00017 Prospective sensitivities to modified GW dispersion relations of AION 1\,km and AEDGE, compared with the constraints from LVK and gravitational Cherenkov radiation. Figure from~\cite{Ellis2020}. 2484626 258461 http://cds.cern.ch/record/2875594/files/Gotthard.png 00040 A diagram of the Gotthard Base Tunnel running from North to South under the Swiss Alps, showing the horizontal gallery and the pair of 800-m vertical shafts that provide access from Sedrun to the site of the envisioned ``Porta Alpina'' underground railway station. 2484627 7970 http://cds.cern.ch/record/2875594/files/pseudoULDM.png 00011 \it Left panel: Shot noise limited projection, adapted from ref.~\cite{Abe2021}, to $B-L$ coupled vector ULDM for a dual-species interferometer (\,$^{87}\mathrm{Sr}$ and $^{88}\mathrm{Sr}$). The projections are given in terms of the acceleration sensitivities achievable with VLBAI (see text). The shaded orange region shows constraints from MICROSCOPE~\cite{Touboul2022}. Right panel: Shot noise limited projection, adapted from ref.~\cite{Graham2018}, to the spin coupling of pseudoscalar ULDM to atoms. The projections are given in terms of the interrogation time. The shaded yellow region shows bounds from supernova cooling. 2484628 19929919 http://cds.cern.ch/record/2875594/files/fig01_Wuhan10m.png 00025 The Wuhan 10 m Atom Interferometer~\cite{Zhou2011}. 2484629 37353 http://cds.cern.ch/record/2875594/files/clockgradiometer.png 00023 Space-time diagram of the interferometer trajectories based on single-photon transitions between ground (blue) and excited (red) states driven by laser pulses from both directions (dark and light gray). The pulse sequence shown here features an additional series of pulses (light gray) traveling in the opposite direction to illustrate the implementation of LMT atom optics (here $n=2$). 2484630 743201 http://cds.cern.ch/record/2875594/files/CallioLab_labs.png 00038 3D model of the Callio Lab tunnel network with insets of the various deep underground labs at the mining site. 2484631 599532 http://cds.cern.ch/record/2875594/files/Oxford.png 00026 \it Layout of the AION-10 atom interferometer in the basement of the Oxford Physics Department. 2484632 16141 http://cds.cern.ch/record/2875594/files/dmelimits.png 00008 \it Left panel: Projections for sensitivities to scalar ULDM linearly coupled to electrons (shot noise limited and assuming $\mathrm{SNR}=1$). The lighter-blue 100\,m baseline curve shows the oscillatory nature of the sensitivity projections, while the darker-blue and green curves show the envelope of the oscillations. Right panel: Parameter reconstruction, adapted from ref.~\cite{Badurina2023}, of an injected signal with $f_{\phi}=9.1\,\mathrm{Hz}$ and $d_{m_e}=3.7\times 10^{-5}$ (green cross) for a 1\,km baseline assuming a constant sampling frequency of $0.3$\,Hz. The purple contours show the islands of parameter space compatible with the signal at 95.4\% CL. In both panels, the shaded orange region shows constraints from MICROSCOPE~\cite{Touboul2022,Hees2018}. 2484633 1832136 http://cds.cern.ch/record/2875594/files/Photos_all_chambers.png 00027 {\it Upper panels:} Photographs of the five AION sidearm systems, installed at their corresponding institutions~\cite{AION:2023fpx}. {\it Bottom panel:} Measurements at the University of Birmingham of the occupation levels of an excited strontium state following atom interferometry sequences in which the phase of the final laser pulse is varied, demonstrating interference fringes analogous to those in an optical Mach-Zehnder interferometer. 2484634 15937 http://cds.cern.ch/record/2875594/files/t3-geometry.png 00042 Quantum-clock scheme for LPI tests based on internal-state transitions. After the atom entered in the ground state $\ket{g}$, a $\pi/2$ pulse (red) brings it into a superposition of ground (blue solid line) and excited state $\ket{e}$ (green dashed line), where the finite speed $c$ of the laser light is depicted by an inclined line. The pulse also transfers a momentum $\hbar k$ to the excited state, e.g. induced by single-photon transitions, leading to a spatial superposition of the atom. After redirection via two internal-state changing $\pi$ pulses (purple) in time intervals $T/4$ and $3T/4$, the branches are brought to interference by the final $\pi/2$ pulse at interrogation time $T$, and the population in the excited state is detected. The experiment is performed in a linear gravitational field with mean acceleration $\textbf{g}$. To include possible LPI violations, the acceleration is augmented by the factor $1\pm\alpha\hbar\Omega/(2m c^2)$, including violation parameter $\alpha$, atomic transition frequency $\Omega$, and atomic mass $m$. This Figure was taken from~\cite{DiPumpo2023}. 2484635 4040090 http://cds.cern.ch/record/2875594/files/ZAIGA.png 00032 \it Layout of the ZAIGA laboratory near Wuhan, China for a range of experiments using atom interferometry~\cite{Zhan2019}. 2484636 24920 http://cds.cern.ch/record/2875594/files/SNRs100.png 00004 \it Sensitivities in the $(T_*, \alpha)$ plane of AION-100 and -km, as well as other planned experiments, to the SGWB spectrum from sound waves in the plasma that could be formed in the aftermath of bubble collisions. Dashed lines show $SNR=1$ while solid lines $SNR=10$ except for AION-km GGN for which $SNR=10$ is depicted by a thick dashed line while the dotted line corresponds to $SNR=1$. Figure taken from ref~\cite{Badurina2021}. 2484637 47496 http://cds.cern.ch/record/2875594/files/meanOmegaGW.png 00019 Left panel: The sensitivities of AION 1\,km to GWs from equal mass BH binaries of total mass $M$ at redshift $z$, calculated assuming a level of GGN close to the NHNM and assuming that Rayleigh waves propagate with a speed of $205$~m/s. The contours compare estimates made assuming either no mitigation of GGN, or the level of suppression discussed in the previous Subsection, or complete suppression/mitigation of GGN. Right panel: The mean GW energy density spectrum from massive BH mergers compared with the sensitivities of the indicated experiments. The coloured bands correspond to different BH mass bands and are obtained assuming a constant merger efficiency factor $0.3 < p_{\rm BH} < 1$, following~\cite{Ellis2023}: plot adapted from~\cite{Ellis2023a}. 2484638 1724333 http://cds.cern.ch/record/2875594/files/CERN_PX46.png 00035 3D model of the underground civil infrastructure at Point 4 of the LHC. The vertical atom interferometer is in the PX46 shaft. There is concrete shielding in the gallery connecting to the main cavern. A fast and safety-proof elevator platform surrounds the experiment and is used for assembly, operation and escape in case of hazards~\cite{Arduini2023}. 2484639 35132 http://cds.cern.ch/record/2875594/files/TVLBAI_Sensitivity_GGN_HNM_AION1km_opt_N5.png 00014 GGN mitigation using a multigradiometer configuration. \textit{Left panel}: projected 95\%~CL exclusion sensitivities for an atom multigradiometer with the experimental parameters listed in Table~\ref{table:ExperimentalParameters} and $\mathcal{N}=5$ interferometers, assuming that GGN is modelled by the NHNM. The red dot-dashed, purple dotted and green solid lines show the atom multigradiometer exclusion curves for equally-spaced, unequally-spaced (ends) and unequally-spaced (centre) configurations. The orange shaded region is excluded by MICROSCOPE~\cite{Touboul2022}. For comparison, the grey and orange lines show the exclusion sensitivities for a single atom gradiometer ($\mathcal{N}=2$) with ASN-only and ASN-and-GGN backgrounds, respectively. \textit{Right panel}: schematic representations of the three interferometer configurations with $\mathcal{N}=5$. The purple dots show the positions of the interferometers in the `unequal spacing (ends)' configuration, the red dots show their positions in the `equal spacing' configurations, and the green dots show the `unequal spacing (centre)' configuration. 2484640 27757 http://cds.cern.ch/record/2875594/files/Cavity_AI.png 00041 Sketch of the deployment of a cavity for atom interferometry. Between the mirrors M1 and M2, a standing light wave is created that manipulates the atom cloud. In the sketch a scheme for two interferometers A1 and A2 separated by length L is depicted. This is a configuration that could be deployed in MIGA or ELGAR: see Sections~\ref{sec:MIGA} and \ref{sec:ELGAR}. 2484641 82427 http://cds.cern.ch/record/2875594/files/4850expansionplanmap.png 00037 Current and proposed underground laboratory space at SURF, including up to two new caverns on the 4850-foot level (\SI{100}{m} L $\times$ \SI{20}{m} W $\times$ \SI{24}{m} H). There are more than \SI{15}{km} of accessible areas across seven main elevations as well as vertical options. 2484642 27966 http://cds.cern.ch/record/2875594/files/TVLBAI_Sensitivity_GGN_diff_AION1km_opt_N2_short.png 00013 Impact of GGN on the projected 95\% CL exclusion sensitivity to the ULDM-electron coupling of a single atom gradiometer with the design parameters defined in Table~\ref{table:ExperimentalParameters}. \textit{Left panel}: comparison between the atom shot noise (ASN) (grey) and ASN-plus-GGN-limited sensitivities assuming that the GGN background is described by the Peterson NHNM (orange) or NLNM (blue). The solid and dotted lines are for Rayleigh wave velocities $c_H = 205\,\mathrm{m\,s}^{-1}$ and $c_H = 3232\,\mathrm{m\,s}^{-1}$, respectively. \textit{Right panel}: projected 95\% CL exclusion sensitivities for different values of $\Delta z$ and different atom interferometer positions, where we assume the NHNM and $c_H = 205\,\mathrm{m\,s}^{-1}$. We show exclusion curves for interferometers located towards the Earth's surface (green) and towards the bottom of the shaft (purple), assuming $\Delta z = 100$\,m but keeping all other experimental parameters unchanged. In both panels, the orange shaded region is excluded by MICROSCOPE~\cite{Touboul2022}. 2484643 37247 http://cds.cern.ch/record/2875594/files/IMBHDM.png 00020 Exclusions of weakly-interacting ultra-light bosonic fields from the measured spins of SMBHs and LIGO/Virgo/KAGRA BHs compared with the prospective sensitivity of a large atom interferometer, which could also exclude the intermediate mass range by measuring spins of IMBHs. These constraints assume negligible bosonic self-interactions. 2484644 26754656 http://cds.cern.ch/record/2875594/files/2310.08183.pdf Fulltext 2484645 46904 http://cds.cern.ch/record/2875594/files/BHstrains.png 00016 The GW strain sensitivities and benchmark signals from BH binaries of different masses at different redshifts. The coloured dots indicate the times before mergers at which inspirals could be measured. 2484646 84505 http://cds.cern.ch/record/2875594/files/clockai.png 00022 (a) Comparison of the laser frequencies involved in conventional and clock atom optics as well as the leading order phase response of the associated interferometer. (b) Space-time diagram of a relativistic Mach-Zehnder interferometer using clock atom optics (dark lines) and conventional two-photon atom optics (dark and light lines). In a clock atom interferometer, the same laser pulse addresses the entire atomic superposition, imprinting the same laser phase and allowing for common-mode noise suppression. 2484647 9886 http://cds.cern.ch/record/2875594/files/MZOptics.png 00000 \it Left: Outline of the principle of a Mach-Zehnder laser interferometer~\cite{Zehnder1891,Mach1892}. Right: Outline of an analogous atom interferometer. Atoms in the ground state, $\ket{g}$, are represented by solid blue lines, the dashed red lines represent atoms in the excited state, $\ket{e}$, and laser pulses are represented by wavy lines. 2484648 38226 http://cds.cern.ch/record/2875594/files/IMBHMergersMitigatedGGN.png 00018 Left panel: The sensitivities of AION 1\,km to GWs from equal mass BH binaries of total mass $M$ at redshift $z$, calculated assuming a level of GGN close to the NHNM and assuming that Rayleigh waves propagate with a speed of $205$~m/s. The contours compare estimates made assuming either no mitigation of GGN, or the level of suppression discussed in the previous Subsection, or complete suppression/mitigation of GGN. Right panel: The mean GW energy density spectrum from massive BH mergers compared with the sensitivities of the indicated experiments. The coloured bands correspond to different BH mass bands and are obtained assuming a constant merger efficiency factor $0.3 < p_{\rm BH} < 1$, following~\cite{Ellis2023}: plot adapted from~\cite{Ellis2023a}. 2484649 112770 http://cds.cern.ch/record/2875594/files/HannahFigure.png 00021 Sensitivities of LVK, LISA and large atom interferometers to GWs from mergers of ECOs weighing between 20 and 200 solar masses, compared with the backgrounds from BH-BH and BH-neutron star binaries~\cite{Banks2023}. 2484650 28269 http://cds.cern.ch/record/2875594/files/SNRs10.png 00003 \it Sensitivities in the $(T_*, \alpha)$ plane of AION-100 and -km, as well as other planned experiments, to the SGWB spectrum from sound waves in the plasma that could be formed in the aftermath of bubble collisions. Dashed lines show $SNR=1$ while solid lines $SNR=10$ except for AION-km GGN for which $SNR=10$ is depicted by a thick dashed line while the dotted line corresponds to $SNR=1$. Figure taken from ref~\cite{Badurina2021}. 2484651 41148 http://cds.cern.ch/record/2875594/files/twinlattice_scheme.png 00034 The twin lattice is formed by retroreflecting light at two frequencies with linear orthogonal polarization. A quarter-wave plate in front of the retroreflector alters the polarization to generate two counterpropagating lattices (indicated in red and blue). After release from the atom chip and state preparation, the BEC is symmetrically split and recombined by the lattices, driving double Bragg diffraction (DBD) and Bloch oscillations (BOs). In this way, the interferometer arms form a Sagnac loop enclosing an area $A$ (shaded in gray) for detecting rotations $\Omega$. The interferometer output ports are detected on a CCD chip by absorption imaging. Figure from \cite{Gebbe2021}. 2484652 606948 http://cds.cern.ch/record/2875594/files/Fig1RP.png 00029 Basic layout of the MAGIS experiment. 2484653 38168 http://cds.cern.ch/record/2875594/files/GWexpplotbigViolins.png 00002 \it Sensitivities to the energy density of GWs, $\Omega_{\rm GW} h^2$, using power-law integration of the proposed terrestrial atom interferometers AION-100, AION-km, as well as the space-borne incarnations of the technology AEDGE and AEDGE+, together with other existing and planned experiments LIGO/Virgo/KAGRA (LVK), ET, PTAs and SKA. Also shown in gray are likelihood distributions in each frequency bin for the GW signal reported by the NANOGrav Collaboration in their 15-year data~\cite{Agazie2023}. 2484654 104962 http://cds.cern.ch/record/2875594/files/twinlattice_setup.png 00033 The twin lattice is formed by retroreflecting light at two frequencies with linear orthogonal polarization. A quarter-wave plate in front of the retroreflector alters the polarization to generate two counterpropagating lattices (indicated in red and blue). After release from the atom chip and state preparation, the BEC is symmetrically split and recombined by the lattices, driving double Bragg diffraction (DBD) and Bloch oscillations (BOs). In this way, the interferometer arms form a Sagnac loop enclosing an area $A$ (shaded in gray) for detecting rotations $\Omega$. The interferometer output ports are detected on a CCD chip by absorption imaging. Figure from \cite{Gebbe2021}. 2490130 38168 http://cds.cern.ch/record/2875594/files/w2_GWexpplotbigViolins.png 00002 \it Sensitivities to the energy density of GWs, $\Omega_{\rm GW} h^2$, using power-law integration of the proposed terrestrial atom interferometers AION-100, AION-km, as well as the space-borne incarnations of the technology AEDGE and AEDGE+, together with other existing and planned experiments LIGO/Virgo/KAGRA (LVK), ET, PTAs and SKA. Also shown in gray are likelihood distributions in each frequency bin for the GW signal reported by the NANOGrav Collaboration in their 15-year data~\cite{Agazie2023}. 2490131 743201 http://cds.cern.ch/record/2875594/files/w38_CallioLab_labs.png 00038 3D model of the Callio Lab tunnel network with insets of the various deep underground labs at the mining site. 2490132 41959 http://cds.cern.ch/record/2875594/files/w24_CoriolisTrajectoryDeflections.png 00024 Transverse deflections of atomic trajectories due to Coriolis forces. (a) and (b) show trajectories in the vertical dimension for 10\;m and 80\;m launch heights, respectively. (c) Transverse trajectory deflections for a 10\;m launch height. Dashed red curve: Purely vertical launch. Solid black curve: Launch angle adjusted by $5 \times 10^{-5}$\;rad to minimize transverse deflections. (d) Transverse trajectory deflections for a 80\;m launch height. Dashed red curve: Purely vertical launch. Solid black curve: Launch angle adjusted by $1.4 \times 10^{-4}$\;rad to minimize transverse deflections. 2490133 24920 http://cds.cern.ch/record/2875594/files/w4_SNRs100.png 00004 \it Sensitivities in the $(T_*, \alpha)$ plane of AION-100 and -km, as well as other planned experiments, to the SGWB spectrum from sound waves in the plasma that could be formed in the aftermath of bubble collisions. Dashed lines show $SNR=1$ while solid lines $SNR=10$ except for AION-km GGN for which $SNR=10$ is depicted by a thick dashed line while the dotted line corresponds to $SNR=1$. Figure taken from ref~\cite{Badurina2021}. 2490134 41148 http://cds.cern.ch/record/2875594/files/w34_twinlattice_scheme.png 00034 The twin lattice is formed by retroreflecting light at two frequencies with linear orthogonal polarization. A quarter-wave plate in front of the retroreflector alters the polarization to generate two counterpropagating lattices (indicated in red and blue). After release from the atom chip and state preparation, the BEC is symmetrically split and recombined by the lattices, driving double Bragg diffraction (DBD) and Bloch oscillations (BOs). In this way, the interferometer arms form a Sagnac loop enclosing an area $A$ (shaded in gray) for detecting rotations $\Omega$. The interferometer output ports are detected on a CCD chip by absorption imaging. Figure from \cite{Gebbe2021}. 2490135 4963 http://cds.cern.ch/record/2875594/files/w15_TVLBAI_configuration_vertical.png 00015 GGN mitigation using a multigradiometer configuration. \textit{Left panel}: projected 95\%~CL exclusion sensitivities for an atom multigradiometer with the experimental parameters listed in Table~\ref{table:ExperimentalParameters} and $\mathcal{N}=5$ interferometers, assuming that GGN is modelled by the NHNM. The red dot-dashed, purple dotted and green solid lines show the atom multigradiometer exclusion curves for equally-spaced, unequally-spaced (ends) and unequally-spaced (centre) configurations. The orange shaded region is excluded by MICROSCOPE~\cite{Touboul2022}. For comparison, the grey and orange lines show the exclusion sensitivities for a single atom gradiometer ($\mathcal{N}=2$) with ASN-only and ASN-and-GGN backgrounds, respectively. \textit{Right panel}: schematic representations of the three interferometer configurations with $\mathcal{N}=5$. The purple dots show the positions of the interferometers in the `unequal spacing (ends)' configuration, the red dots show their positions in the `equal spacing' configurations, and the green dots show the `unequal spacing (centre)' configuration. 2490136 38226 http://cds.cern.ch/record/2875594/files/w18_IMBHMergersMitigatedGGN.png 00018 Left panel: The sensitivities of AION 1\,km to GWs from equal mass BH binaries of total mass $M$ at redshift $z$, calculated assuming a level of GGN close to the NHNM and assuming that Rayleigh waves propagate with a speed of $205$~m/s. The contours compare estimates made assuming either no mitigation of GGN, or the level of suppression discussed in the previous Subsection, or complete suppression/mitigation of GGN. Right panel: The mean GW energy density spectrum from massive BH mergers compared with the sensitivities of the indicated experiments. The coloured bands correspond to different BH mass bands and are obtained assuming a constant merger efficiency factor $0.3 < p_{\rm BH} < 1$, following~\cite{Ellis2023}: plot adapted from~\cite{Ellis2023a}. 2490137 8745 http://cds.cern.ch/record/2875594/files/w17_beyondGR.png 00017 Prospective sensitivities to modified GW dispersion relations of AION 1\,km and AEDGE, compared with the constraints from LVK and gravitational Cherenkov radiation. Figure from~\cite{Ellis2020}. 2490138 606948 http://cds.cern.ch/record/2875594/files/w29_Fig1RP.png 00029 Basic layout of the MAGIS experiment. 2490139 27966 http://cds.cern.ch/record/2875594/files/w13_TVLBAI_Sensitivity_GGN_diff_AION1km_opt_N2_short.png 00013 Impact of GGN on the projected 95\% CL exclusion sensitivity to the ULDM-electron coupling of a single atom gradiometer with the design parameters defined in Table~\ref{table:ExperimentalParameters}. \textit{Left panel}: comparison between the atom shot noise (ASN) (grey) and ASN-plus-GGN-limited sensitivities assuming that the GGN background is described by the Peterson NHNM (orange) or NLNM (blue). The solid and dotted lines are for Rayleigh wave velocities $c_H = 205\,\mathrm{m\,s}^{-1}$ and $c_H = 3232\,\mathrm{m\,s}^{-1}$, respectively. \textit{Right panel}: projected 95\% CL exclusion sensitivities for different values of $\Delta z$ and different atom interferometer positions, where we assume the NHNM and $c_H = 205\,\mathrm{m\,s}^{-1}$. We show exclusion curves for interferometers located towards the Earth's surface (green) and towards the bottom of the shaft (purple), assuming $\Delta z = 100$\,m but keeping all other experimental parameters unchanged. In both panels, the orange shaded region is excluded by MICROSCOPE~\cite{Touboul2022}. 2490140 82427 http://cds.cern.ch/record/2875594/files/w37_4850expansionplanmap.png 00037 Current and proposed underground laboratory space at SURF, including up to two new caverns on the 4850-foot level (\SI{100}{m} L $\times$ \SI{20}{m} W $\times$ \SI{24}{m} H). There are more than \SI{15}{km} of accessible areas across seven main elevations as well as vertical options. 2490141 599532 http://cds.cern.ch/record/2875594/files/w26_Oxford.png 00026 \it Layout of the AION-10 atom interferometer in the basement of the Oxford Physics Department. 2490142 1724333 http://cds.cern.ch/record/2875594/files/w35_CERN_PX46.png 00035 3D model of the underground civil infrastructure at Point 4 of the LHC. The vertical atom interferometer is in the PX46 shaft. There is concrete shielding in the gallery connecting to the main cavern. A fast and safety-proof elevator platform surrounds the experiment and is used for assembly, operation and escape in case of hazards~\cite{Arduini2023}. 2490143 429323 http://cds.cern.ch/record/2875594/files/w39_lsc.png 00039 A diagram of the LSC at Canfranc, showing the horizontal gallery and the vertical shaft used for ventilation~\cite{PerezPerez2022}. 2490144 28269 http://cds.cern.ch/record/2875594/files/w3_SNRs10.png 00003 \it Sensitivities in the $(T_*, \alpha)$ plane of AION-100 and -km, as well as other planned experiments, to the SGWB spectrum from sound waves in the plasma that could be formed in the aftermath of bubble collisions. Dashed lines show $SNR=1$ while solid lines $SNR=10$ except for AION-km GGN for which $SNR=10$ is depicted by a thick dashed line while the dotted line corresponds to $SNR=1$. Figure taken from ref~\cite{Badurina2021}. 2490145 15666 http://cds.cern.ch/record/2875594/files/w1_MZAtoms.png 00001 \it Left: Outline of the principle of a Mach-Zehnder laser interferometer~\cite{Zehnder1891,Mach1892}. Right: Outline of an analogous atom interferometer. Atoms in the ground state, $\ket{g}$, are represented by solid blue lines, the dashed red lines represent atoms in the excited state, $\ket{e}$, and laser pulses are represented by wavy lines. 2490146 815104 http://cds.cern.ch/record/2875594/files/w30_migastatus.png 00030 (a) Fibre laser system developed by the Muquans company~\cite{Sabulsky2020}, (b) cold $^{87}$Rb atom source~\cite{Beaufils2022}, (c) standard 6 m long section under vacuum test, (d) vacuum tower in production at SAES Parma (Italy), (e) MIGA gallery within the Laboratoire Souterrain {\`a} Bas Bruit (LSBB) and installation of the first sections of the vacuum vessel~\cite{Canuel2022}. 2490147 1320560 http://cds.cern.ch/record/2875594/files/w36_boulby_fig.png 00036 The Boulby underground laboratory, the UK's deep underground science facility operating in a working mine in the North-East of England. 2490148 35132 http://cds.cern.ch/record/2875594/files/w14_TVLBAI_Sensitivity_GGN_HNM_AION1km_opt_N5.png 00014 GGN mitigation using a multigradiometer configuration. \textit{Left panel}: projected 95\%~CL exclusion sensitivities for an atom multigradiometer with the experimental parameters listed in Table~\ref{table:ExperimentalParameters} and $\mathcal{N}=5$ interferometers, assuming that GGN is modelled by the NHNM. The red dot-dashed, purple dotted and green solid lines show the atom multigradiometer exclusion curves for equally-spaced, unequally-spaced (ends) and unequally-spaced (centre) configurations. The orange shaded region is excluded by MICROSCOPE~\cite{Touboul2022}. For comparison, the grey and orange lines show the exclusion sensitivities for a single atom gradiometer ($\mathcal{N}=2$) with ASN-only and ASN-and-GGN backgrounds, respectively. \textit{Right panel}: schematic representations of the three interferometer configurations with $\mathcal{N}=5$. The purple dots show the positions of the interferometers in the `unequal spacing (ends)' configuration, the red dots show their positions in the `equal spacing' configurations, and the green dots show the `unequal spacing (centre)' configuration. 2490149 19929919 http://cds.cern.ch/record/2875594/files/w25_fig01_Wuhan10m.png 00025 The Wuhan 10 m Atom Interferometer~\cite{Zhou2011}. 2490150 7970 http://cds.cern.ch/record/2875594/files/w11_pseudoULDM.png 00011 \it Left panel: Shot noise limited projection, adapted from ref.~\cite{Abe2021}, to $B-L$ coupled vector ULDM for a dual-species interferometer (\,$^{87}\mathrm{Sr}$ and $^{88}\mathrm{Sr}$). The projections are given in terms of the acceleration sensitivities achievable with VLBAI (see text). The shaded orange region shows constraints from MICROSCOPE~\cite{Touboul2022}. Right panel: Shot noise limited projection, adapted from ref.~\cite{Graham2018}, to the spin coupling of pseudoscalar ULDM to atoms. The projections are given in terms of the interrogation time. The shaded yellow region shows bounds from supernova cooling. 2490151 9886 http://cds.cern.ch/record/2875594/files/w0_MZOptics.png 00000 \it Left: Outline of the principle of a Mach-Zehnder laser interferometer~\cite{Zehnder1891,Mach1892}. Right: Outline of an analogous atom interferometer. Atoms in the ground state, $\ket{g}$, are represented by solid blue lines, the dashed red lines represent atoms in the excited state, $\ket{e}$, and laser pulses are represented by wavy lines. 2490152 1832136 http://cds.cern.ch/record/2875594/files/w27_Photos_all_chambers.png 00027 {\it Upper panels:} Photographs of the five AION sidearm systems, installed at their corresponding institutions~\cite{AION:2023fpx}. {\it Bottom panel:} Measurements at the University of Birmingham of the occupation levels of an excited strontium state following atom interferometry sequences in which the phase of the final laser pulse is varied, demonstrating interference fringes analogous to those in an optical Mach-Zehnder interferometer. 2490153 8150 http://cds.cern.ch/record/2875594/files/w10_vectorULDM.png 00010 \it Left panel: Shot noise limited projection, adapted from ref.~\cite{Abe2021}, to $B-L$ coupled vector ULDM for a dual-species interferometer (\,$^{87}\mathrm{Sr}$ and $^{88}\mathrm{Sr}$). The projections are given in terms of the acceleration sensitivities achievable with VLBAI (see text). The shaded orange region shows constraints from MICROSCOPE~\cite{Touboul2022}. Right panel: Shot noise limited projection, adapted from ref.~\cite{Graham2018}, to the spin coupling of pseudoscalar ULDM to atoms. The projections are given in terms of the interrogation time. The shaded yellow region shows bounds from supernova cooling. 2490154 258461 http://cds.cern.ch/record/2875594/files/w40_Gotthard.png 00040 A diagram of the Gotthard Base Tunnel running from North to South under the Swiss Alps, showing the horizontal gallery and the pair of 800-m vertical shafts that provide access from Sedrun to the site of the envisioned ``Porta Alpina'' underground railway station. 2490155 53410 http://cds.cern.ch/record/2875594/files/w6_SuperModExamplePlot.png 00006 \it Left panel: Cosmic super string spectrum with $G\mu=10^{-11.75}$ and intercommutation probability $p=10^{-2.25}$ in standard cosmology together with its possible modifications by a period of kination or matter domination (MD) ending at temperatures $T > 5$~MeV and $5$~GeV. The grey violins indicate the spectra capable of explaining the NANOGrav 15yr data. Right panel: Sensitivity of various experiments to a modification of the expansion rate at a temperature $T_\Delta$ for a given value of the string tension $G\mu$ with $p=1$. The gray bands indicate values favoured by the NANOGrav 12.5yr data~\cite{Arzoumanian2020,Ellis2021}. The right panel was taken from ref~\cite{Badurina2021}. 2490156 30003 http://cds.cern.ch/record/2875594/files/w12_TVLBAI_Sensitivity_GGN_both_AION1km_opt_N2_cH.png 00012 Impact of GGN on the projected 95\% CL exclusion sensitivity to the ULDM-electron coupling of a single atom gradiometer with the design parameters defined in Table~\ref{table:ExperimentalParameters}. \textit{Left panel}: comparison between the atom shot noise (ASN) (grey) and ASN-plus-GGN-limited sensitivities assuming that the GGN background is described by the Peterson NHNM (orange) or NLNM (blue). The solid and dotted lines are for Rayleigh wave velocities $c_H = 205\,\mathrm{m\,s}^{-1}$ and $c_H = 3232\,\mathrm{m\,s}^{-1}$, respectively. \textit{Right panel}: projected 95\% CL exclusion sensitivities for different values of $\Delta z$ and different atom interferometer positions, where we assume the NHNM and $c_H = 205\,\mathrm{m\,s}^{-1}$. We show exclusion curves for interferometers located towards the Earth's surface (green) and towards the bottom of the shaft (purple), assuming $\Delta z = 100$\,m but keeping all other experimental parameters unchanged. In both panels, the orange shaded region is excluded by MICROSCOPE~\cite{Touboul2022}. 2490157 112770 http://cds.cern.ch/record/2875594/files/w21_HannahFigure.png 00021 Sensitivities of LVK, LISA and large atom interferometers to GWs from mergers of ECOs weighing between 20 and 200 solar masses, compared with the backgrounds from BH-BH and BH-neutron star binaries~\cite{Banks2023}. 2490158 37247 http://cds.cern.ch/record/2875594/files/w20_IMBHDM.png 00020 Exclusions of weakly-interacting ultra-light bosonic fields from the measured spins of SMBHs and LIGO/Virgo/KAGRA BHs compared with the prospective sensitivity of a large atom interferometer, which could also exclude the intermediate mass range by measuring spins of IMBHs. These constraints assume negligible bosonic self-interactions. 2490159 16141 http://cds.cern.ch/record/2875594/files/w8_dmelimits.png 00008 \it Left panel: Projections for sensitivities to scalar ULDM linearly coupled to electrons (shot noise limited and assuming $\mathrm{SNR}=1$). The lighter-blue 100\,m baseline curve shows the oscillatory nature of the sensitivity projections, while the darker-blue and green curves show the envelope of the oscillations. Right panel: Parameter reconstruction, adapted from ref.~\cite{Badurina2023}, of an injected signal with $f_{\phi}=9.1\,\mathrm{Hz}$ and $d_{m_e}=3.7\times 10^{-5}$ (green cross) for a 1\,km baseline assuming a constant sampling frequency of $0.3$\,Hz. The purple contours show the islands of parameter space compatible with the signal at 95.4\% CL. In both panels, the shaded orange region shows constraints from MICROSCOPE~\cite{Touboul2022,Hees2018}. 2490160 47496 http://cds.cern.ch/record/2875594/files/w19_meanOmegaGW.png 00019 Left panel: The sensitivities of AION 1\,km to GWs from equal mass BH binaries of total mass $M$ at redshift $z$, calculated assuming a level of GGN close to the NHNM and assuming that Rayleigh waves propagate with a speed of $205$~m/s. The contours compare estimates made assuming either no mitigation of GGN, or the level of suppression discussed in the previous Subsection, or complete suppression/mitigation of GGN. Right panel: The mean GW energy density spectrum from massive BH mergers compared with the sensitivities of the indicated experiments. The coloured bands correspond to different BH mass bands and are obtained assuming a constant merger efficiency factor $0.3 < p_{\rm BH} < 1$, following~\cite{Ellis2023}: plot adapted from~\cite{Ellis2023a}. 2490161 104962 http://cds.cern.ch/record/2875594/files/w33_twinlattice_setup.png 00033 The twin lattice is formed by retroreflecting light at two frequencies with linear orthogonal polarization. A quarter-wave plate in front of the retroreflector alters the polarization to generate two counterpropagating lattices (indicated in red and blue). After release from the atom chip and state preparation, the BEC is symmetrically split and recombined by the lattices, driving double Bragg diffraction (DBD) and Bloch oscillations (BOs). In this way, the interferometer arms form a Sagnac loop enclosing an area $A$ (shaded in gray) for detecting rotations $\Omega$. The interferometer output ports are detected on a CCD chip by absorption imaging. Figure from \cite{Gebbe2021}. 2490162 27757 http://cds.cern.ch/record/2875594/files/w41_Cavity_AI.png 00041 Sketch of the deployment of a cavity for atom interferometry. Between the mirrors M1 and M2, a standing light wave is created that manipulates the atom cloud. In the sketch a scheme for two interferometers A1 and A2 separated by length L is depicted. This is a configuration that could be deployed in MIGA or ELGAR: see Sections~\ref{sec:MIGA} and \ref{sec:ELGAR}. 2490163 46904 http://cds.cern.ch/record/2875594/files/w16_BHstrains.png 00016 The GW strain sensitivities and benchmark signals from BH binaries of different masses at different redshifts. The coloured dots indicate the times before mergers at which inspirals could be measured. 2490164 15937 http://cds.cern.ch/record/2875594/files/w42_t3-geometry.png 00042 Quantum-clock scheme for LPI tests based on internal-state transitions. After the atom entered in the ground state $\ket{g}$, a $\pi/2$ pulse (red) brings it into a superposition of ground (blue solid line) and excited state $\ket{e}$ (green dashed line), where the finite speed $c$ of the laser light is depicted by an inclined line. The pulse also transfers a momentum $\hbar k$ to the excited state, e.g. induced by single-photon transitions, leading to a spatial superposition of the atom. After redirection via two internal-state changing $\pi$ pulses (purple) in time intervals $T/4$ and $3T/4$, the branches are brought to interference by the final $\pi/2$ pulse at interrogation time $T$, and the population in the excited state is detected. The experiment is performed in a linear gravitational field with mean acceleration $\textbf{g}$. To include possible LPI violations, the acceleration is augmented by the factor $1\pm\alpha\hbar\Omega/(2m c^2)$, including violation parameter $\alpha$, atomic transition frequency $\Omega$, and atomic mass $m$. This Figure was taken from~\cite{DiPumpo2023}. 2490165 4403338 http://cds.cern.ch/record/2875594/files/w31_ELGAR.png 00031 Geometry of ELGAR, based on a distributed 2D array of gradiometers with baseline $L= 16.3$~km with a total baseline $L_T=$ 32.1~km. Taken from~\cite{Canuel2020}. 2490166 20853 http://cds.cern.ch/record/2875594/files/w5_SNRs1000.png 00005 \it Sensitivities in the $(T_*, \alpha)$ plane of AION-100 and -km, as well as other planned experiments, to the SGWB spectrum from sound waves in the plasma that could be formed in the aftermath of bubble collisions. Dashed lines show $SNR=1$ while solid lines $SNR=10$ except for AION-km GGN for which $SNR=10$ is depicted by a thick dashed line while the dotted line corresponds to $SNR=1$. Figure taken from ref~\cite{Badurina2021}. 2490167 37353 http://cds.cern.ch/record/2875594/files/w23_clockgradiometer.png 00023 Space-time diagram of the interferometer trajectories based on single-photon transitions between ground (blue) and excited (red) states driven by laser pulses from both directions (dark and light gray). The pulse sequence shown here features an additional series of pulses (light gray) traveling in the opposite direction to illustrate the implementation of LMT atom optics (here $n=2$). 2490168 4040090 http://cds.cern.ch/record/2875594/files/w32_ZAIGA.png 00032 \it Layout of the ZAIGA laboratory near Wuhan, China for a range of experiments using atom interferometry~\cite{Zhan2019}. 2490169 84505 http://cds.cern.ch/record/2875594/files/w22_clockai.png 00022 (a) Comparison of the laser frequencies involved in conventional and clock atom optics as well as the leading order phase response of the associated interferometer. (b) Space-time diagram of a relativistic Mach-Zehnder interferometer using clock atom optics (dark lines) and conventional two-photon atom optics (dark and light lines). In a clock atom interferometer, the same laser pulse addresses the entire atomic superposition, imprinting the same laser phase and allowing for common-mode noise suppression. 2490170 29950 http://cds.cern.ch/record/2875594/files/w7_DeltaDetectionPlot.png 00007 \it Left panel: Cosmic super string spectrum with $G\mu=10^{-11.75}$ and intercommutation probability $p=10^{-2.25}$ in standard cosmology together with its possible modifications by a period of kination or matter domination (MD) ending at temperatures $T > 5$~MeV and $5$~GeV. The grey violins indicate the spectra capable of explaining the NANOGrav 15yr data. Right panel: Sensitivity of various experiments to a modification of the expansion rate at a temperature $T_\Delta$ for a given value of the string tension $G\mu$ with $p=1$. The gray bands indicate values favoured by the NANOGrav 12.5yr data~\cite{Arzoumanian2020,Ellis2021}. The right panel was taken from ref~\cite{Badurina2021}. 2490171 8031 http://cds.cern.ch/record/2875594/files/w9_reconstruct.png 00009 \it Left panel: Projections for sensitivities to scalar ULDM linearly coupled to electrons (shot noise limited and assuming $\mathrm{SNR}=1$). The lighter-blue 100\,m baseline curve shows the oscillatory nature of the sensitivity projections, while the darker-blue and green curves show the envelope of the oscillations. Right panel: Parameter reconstruction, adapted from ref.~\cite{Badurina2023}, of an injected signal with $f_{\phi}=9.1\,\mathrm{Hz}$ and $d_{m_e}=3.7\times 10^{-5}$ (green cross) for a 1\,km baseline assuming a constant sampling frequency of $0.3$\,Hz. The purple contours show the islands of parameter space compatible with the signal at 95.4\% CL. In both panels, the shaded orange region shows constraints from MICROSCOPE~\cite{Touboul2022,Hees2018}. 2490172 320202 http://cds.cern.ch/record/2875594/files/w28_BirminghamFringes.png 00028 {\it Upper panels:} Photographs of the five AION sidearm systems, installed at their corresponding institutions~\cite{AION:2023fpx}. {\it Bottom panel:} Measurements at the University of Birmingham of the occupation levels of an excited strontium state following atom interferometry sequences in which the phase of the final laser pulse is varied, demonstrating interference fringes analogous to those in an optical Mach-Zehnder interferometer. 2705135 9731737 http://cds.cern.ch/record/2875594/files/Publication.pdf Fulltext from Publisher 2484613 157461 http://cds.cern.ch/record/2875594/files/FERMILAB-CONF-23-430-ETD.jpg?subformat=icon-1440 icon-1440 Fulltext 2484613 157461 http://cds.cern.ch/record/2875594/files/FERMILAB-CONF-23-430-ETD.jpg?subformat=icon-640 icon-640 Fulltext 2484613 157461 http://cds.cern.ch/record/2875594/files/FERMILAB-CONF-23-430-ETD.jpg?subformat=icon-700 icon-700 Fulltext 2484613 17281 http://cds.cern.ch/record/2875594/files/FERMILAB-CONF-23-430-ETD.jpg?subformat=icon-180 icon-180 Fulltext 2484613 21169 http://cds.cern.ch/record/2875594/files/FERMILAB-CONF-23-430-ETD.gif?subformat=icon icon Fulltext 42 2875594 cern20230313 PROCEEDINGS ARTICLE ConferencePaper 2875180 SzGeCERN 20240705150302.0 DOI Springer 10.1140/epjp/s13360-023-04434-y oai:cds.cern.ch:2875180 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2704434 2023-10-09T10:55:29Z 2023-10-10T04:47:36Z marcxml Inspire 2704434 eng Rigoletti, Gianluca ORCID:0000-0001-9152-7593 gianluca.rigoletti@cern.ch GRID:grid.9132.9 CERN Springer Studies on RPC detectors operated with environmentally friendly gas mixtures in LHC-like conditions 2023 7 p Springer Resistive Plate Chambers (RPC) are gasesous detectors employed at CERN LHC experiments thanks to their trigger performance, timing capabilities and contained production costs. High Pressure Laminate RPCs are operated with a three-component gas mixture, made of 90–95% of C$_2$H$_2$F$_4$, around 5% of i-C$_4$H$_{10}$ and 0.3% of SF$_6$. Due to the presence of leaks at detector level and to the greenhouse characteristics of C$_2$H$_2$F$_4$ and SF$_6$, RPCs in ATLAS and CMS were accounting for about 87% of CO$_2$ equivalent emissions during LHC Run 2. To address this, several alternative gases were studied, including R-1234ze as a possible substitute for R-134a. Furthermore, the addition of some amount of CO$_2$ into the RPCs gas mixture was explored as a possible short-to-medium term solution to lower the total greenhouse gas emissions and reduce the usage of C$_2$H$_2$F$_4$. A dedicated data taking campaign was performed at the Gamma Irradiation Facility at CERN, where RPCs detectors performance were studied with muon beam and gamma background. The detectors were operated with the addition of 30% and 40% and 50% of CO$_2$ to the standard gas mixture, together with an increased fraction of SF$_6$. Two different amounts of i-C4H10 were also evaluated to assess compatibility with the CMS and ATLAS requirements. Results from these beam tests with the above-mentioned gas mixtures are reported in this work. publication CC-BY-4.0 Springer CERN-RP: Springer http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2023 SzGeCERN Detectors and Experimental Techniques ARTICLE CERN CERN-EP-RDET Guida, Roberto GRID:grid.9132.9 CERN Mandelli, Beatrice GRID:grid.9132.9 CERN 841 9 Eur. Phys. J. Plus 138 2023 2483771 670487 http://cds.cern.ch/record/2875180/files/document.pdf Fulltext 13 ARTICLE 2875162 SzGeCERN 20260415125427.0 DOI IEEE 10.1109/TNS.2023.3252941 oai:cds.cern.ch:2875162 cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2700570 2023-10-09T11:32:45Z 2023-10-10T04:47:35Z marcxml Inspire 2700570 eng Weninger, Luca Lab. Hubert Curien, St. Etienne IEEE Calibration in the Visible and Infrared Domains of Multimode Phosphosilicate Optical Fibers for Dosimetry Applications 2023 9 p IEEE We systematically explore the suitability of two radiation-sensitive multimode optical fibers (OFs) with either P or GeP-doped cores to serve as the sensing elements in point or distributed dosimeters. To this end, we measured the dependences of their spectral radiation-induced attenuation (RIA) in the visible and near-infrared (near-IR) domain (400–2100 nm) up to total ionizing dose (TID) of 5 kGy(SiO2) while varying the irradiation temperature from −80 °C to +80 °C and the dose rate between 1 mGy(SiO2)/s and 10 Gy(SiO2)/s. To assess the fiber radiation sensitivity calibration coefficients, we studied the linearity of the RIA versus TID response across our whole spectral range. Once confirmed, their “radiation sensitivity calibration” curves are obtained in the tested ranges of environmental parameters, including the dispersion related to dose rate and temperature. Both fibers present very similar curves despite their different chemical compositions. We then studied the recovery kinetics at the different temperatures of the two fibers to investigate the stability of the RIA response. Our results show that the Ge-codoping only slightly increases the IR sensitivity related to P1 defects while keeping unchanged the visible–near-IR RIA, where the contribution of phosphorus-oxygen-hole centers (POHCs) is dominant. On the contrary, after the irradiation, the responses of the two fibers differ, as the recovery kinetics of the GeP fiber are strongly affected by temperature, limiting its dosimetry capabilities with respect to the P fiber. IEEE 2023 SzGeCERN Detectors and Experimental Techniques author Temperature measurement author Optical fibers author Radiation effects author Optical fiber dispersion author Temperature sensors author Sensitivity author Optical fiber sensors author calibration author dosimeters author dosimetry author gamma-ray effects author germanium author optical fibres author phosphorus author ultraviolet spectra author visible spectra author codoping author dosimetry applications author fiber radiation sensitivity calibration coefficients author GeP/bin author infrared domains author IR sensitivity author multimode phosphosilicate optical fibers author P/el author phosphorus-oxygen-hole centers author radiation sensitivity calibration curves author radiation-sensitive multimode optical fibers author spectral radiation-induced attenuation author temperature -80.0 degC to 80.0 degC author visible domains author visible-near-IR RIA author Dosimetry author ionizing radiation author linearity author optical fibers (OFs) author photonics author sensitivity author sensors ARTICLE CERN Campanella, Cosimo Lab. Hubert Curien, St. Etienne Morana, Adriana Lab. Hubert Curien, St. Etienne Fricano, Fiammetta Lab. Hubert Curien, St. Etienne Marin, Emmanuel Lab. Hubert Curien, St. Etienne Ouerdane, Youcef Lab. Hubert Curien, St. Etienne Boukenter, Aziz Lab. Hubert Curien, St. Etienne García Alía, Rubén CERN Girard, Sylvain Lab. Hubert Curien, St. Etienne 1908-1916 8 IEEE Trans. Nucl. Sci. 70 C22-10-03.3 2023 13 2806405 1908-1916 venice20221003 ARTICLE ConferencePaper 2882584 SzGeCERN 20231130210259.0 DOI Elsevier B.V. 10.1016/j.nima.2022.167688 publication oai:cds.cern.ch:2882584 cerncds:CERN HAL hal-03882058 https://inspirehep.net/api/oai2d 2023-11-30T05:39:55Z marcxml oai:inspirehep.net:2606192 2023-11-29T09:50:02Z Inspire 2606192 eng Zwalinski, L lukasz.zwalinski@cern.ch CERN Elsevier B.V. Progress in new environmental friendly low temperature detector cooling systems development for the ATLAS and CMS experiments 2023 Elsevier B.V. In the frame of the progress towards the High Luminosity Program of the Large Hadron Collider at CERN, the ATLAS and CMS experiments are boosting the preparation of their new environmental friendly low temperature detector cooling systems. This paper will present a general overview of the progress in development and construction of the future CO2 cooling systems for silicon detectors at ATLAS and CMS (trackers, calorimeters and timing layers), due for implementation during the 3rd Long Shut Down of LHC (LS3). We will describe the selected technology for the primary chillers, based on an innovative transcritical cycle of R744 (refrigerant grade CO2) as coolant, and the oil-free secondary “on detector” CO2 pumped loop, based on the evolution of the successful 2 Phase Accumulator Control Loop (2PACL) concept. Different detector layers will profit from an homogenized infrastructure and will share multi-level redundancy that we will describe in details. The technical progresses achieved by the EP-DT group at CERN over the last years will be discussed in view of the challenges and key solutions developed to cope with the unprecedented scale of the systems. We will finally present how mechanics- and controls-related problems have been addressed via a vigorous prototyping programme, aiming at cost- and resource-effective construction of the final systems, which is starting now. Elsevier publication © 2022 Published by Elsevier B.V. 2022 SzGeCERN Detectors and Experimental Techniques Elsevier B.V. Detectors Elsevier B.V. Evaporative Elsevier B.V. CO Elsevier B.V. Cooling Elsevier B.V. 2PACL Elsevier B.V. R744 ARTICLE CERN Barroca, P Norwegian U. Sci. Tech. Bortolin, C CERN Bhanot, V CERN Collot, J LPSC, Grenoble Daguin, J CERN Davoine, L CERN Doubek, M CERN Giakoumi, D CERN Hanf, P CERN Herpin, Y LPSC, Grenoble Hulek, W CERN Noite, J CERN Pakulski, T CERN Petagna, P CERN Sliwa, K CERN Verlaat, B CERN 167688 publication C22-05-22 2023 Nucl. Instrum. Methods Phys. Res., A 1047 13 2808390 la biodola - isola d'elba20220522 167688 ARTICLE ConferencePaper 2881892 SzGeCERN 20240406021435.0 oai:cds.cern.ch:2881892 cerncds:FULLTEXT cerncds:CERN:FULLTEXT INIS cerncds:CERN DOI 10.18429/JACoW-ICALEPCS2023-THPDP074 Inspire 2754092 CMS-CR-2023-175 eng Jimenez Estupinan, Raul INSPIRE-00573312 CCID-693972 Zurich, ETH Phase-II Upgrade of the CMS Electromagnetic Calorimeter Detector Control and Safety Systems for the High Luminosity Large Hadron Collider 2023 Geneva CERN 22 Sep 2023 7 p The Electromagnetic Calorimeter (ECAL) is a subdetector of the CMS experiment. Composed of a barrel and two endcaps, ECAL uses lead tungstate scintillating crystals to measure the energy of electrons and photons produced in high-energy collisions at the Large Hadron Collider (LHC). The LHC will undergo a major upgrade during the 2026-2029 period to build the High-Luminosity LHC (HL-LHC). The HL-LHC will allow for physics measurements with one order of magnitude larger luminosity during its Phase-2 operation. The higher luminosity implies a dramatic change of the environmental conditions for the detectors, which will also undergo a significant upgrade. The endcaps will be decommissioned and replaced with a new detector. The barrel will be upgraded with new front-end electronics. A Sniffer system will be installed to analyse the airflow from within the detector. New high voltage and water-cooled, radiation tolerant low voltage power supplies are under development. The ECAL barrel safety system will replace the existing one and the precision temperature monitoring system will be redesigned. From the controls point of view, the final barrel calorimeter will practically be a new detector. The large modification of the underlying hardware and software components will have a considerable impact in the architecture of the detector control system (DCS). In this document the upgrade plans and the preliminary design of the ECAL DCS to ensure reliable and efficient operation during the Phase-2 period are summarized. CERN EDS For annual report SzGeCERN Detectors and Experimental Techniques CMS ECAL CMS Engineering CMS Software INTNOTE CERN PUBLCMS ARTICLE CERN LHC CMS PH CMS Collaboration 1516-1521 JACoW ICALEPS2023 2023 2495126 420263 http://cds.cern.ch/record/2881892/files/CR2023_175.pdf n 202347 2881790 1516-1521 cape town20231007 PUBLIC INTNOTECMSPUBL ConferencePaper ARTICLE 2880158 20240527142345.0 oai:cds.cern.ch:2880158 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI IOP 10.1088/1748-0221/19/05/C05034 arXiv oai:arXiv.org:2311.02021 Inspire oai:inspirehep.net:2718898 2024-05-24T15:06:21Z 2024-05-25T02:00:12Z marcxml true https://inspirehep.net/api/oai2d Inspire 2718898 arXiv arXiv:2311.02021 physics.ins-det eng Lustermann, W. ORCID:0000-0003-4970-2217 werner.lustermann@cern.ch Zurich, ETH ETH Hönggerberg, Institute for Particle Physics and Astrophysics, ETH Zurich, Otto-Stern-Weg 5, CH-8093 Zurich, Switzerland IOP CMS ECAL VFE design, production and testing 2024-05-17 2023-11-03 7 p IOP Maintaining the required performance of the CMS electromagnetic calorimeter (ECAL) barrel at the High-Luminosity Large Hadron Collider (HL-LHC) requires the replacement of the entire on-detector electronics. 12240 new very front end (VFE) cards will amplify and digitize the signals of61200lead-tungstate crystals instrumented with avalanche photodiodes. The VFE cards host five channels of CATIA pre-amplifier ASICs followed by LiTE-DTU ASICs, which digitize signals with 160 MS/s and 12bit resolution. We present the strategy and infrastructure developed for achieving the required reliability of less than 0.5% failing channels over the expected lifetime of 20 years. This includes the choice of standards, design for reliability and manufacturing, as well as factory acceptance tests, reception testing, environmental stress screening and calibration of the VFE cards. arXiv Maintaining the required performance of the CMS electromagnetic calorimeter (ECAL) barrel at the High-Luminosity Large Hadron Collider (HL-LHC) requires the replacement of the entire on-detector electronics. 12240 new very front end (VFE) cards will amplify and digitize the signals of 62100 lead-tungstate crystals instrumented with avalanche photodiodes. The VFE cards host five channels of CATIA pre-amplifier ASICs followed by LiTE-DTU ASICs, which digitize signals with 160MS/s and 12bit resolution. We present the strategy and infrastructure developed for achieving the required reliability of less than 0.5% failing channels over the expected lifetime of 20 years. This includes the choice of standards, design for reliability and manufacturing, as well as factory acceptance tests, reception testing, environmental stress screening and calibration of the VFE cards. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication CC-BY-4.0 IOP http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2024 L 2023-11-09 abs HAL For annual report arXiv hep-ex SzGeCERN Particle Physics - Experiment arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques CERN ARTICLE CERN LHC CMS Abadjiev, D. ORCID:0000-0002-2702-2141 Northeastern U. Department of Physics, Northeastern University, 360 Huntington Ave, Boston, MA 02115, U.S.A. Dissertori, G. Zurich, ETH ETH Hönggerberg, Institute for Particle Physics and Astrophysics, ETH Zurich, Otto-Stern-Weg 5, CH-8093 Zurich, Switzerland Dejardin, M. IRFU, Saclay IRFU, CEA, Université Paris-Saclay, F-91191 Gif Sur Yvette, France Gadek, T. ORCID:0000-0003-1547-9678 Zurich, ETH ETH Hönggerberg, Institute for Particle Physics and Astrophysics, ETH Zurich, Otto-Stern-Weg 5, CH-8093 Zurich, Switzerland Martin, L.T. ORCID:0009-0008-8115-4082 Northeastern U. Department of Physics, Northeastern University, 360 Huntington Ave, Boston, MA 02115, U.S.A. Stachon, K. ORCID:0000-0002-9721-9417 Zurich, ETH ETH Hönggerberg, Institute for Particle Physics and Astrophysics, ETH Zurich, Otto-Stern-Weg 5, CH-8093 Zurich, Switzerland CMS Collaboration C05034 05 JINST 19 C23-10-02 2024 2492569 621904 http://cds.cern.ch/record/2880158/files/2311.02021.pdf Fulltext 2531428 4876917 http://cds.cern.ch/record/2880158/files/document.pdf Fulltext 13 2869917 C05034 geremeas20231001 ConferencePaper ARTICLE 2879057 20241122165436.0 oai:cds.cern.ch:2879057 cerncds:FULLTEXT ATL-ITK-SLIDE-2023-613 eng ATL-COM-ITK-2023-063 The ATLAS collaboration The ATLAS ITk Pixel Detector. The biggest challenges from design to construction 2023 Geneva CERN 05 Nov 2023 1 p In the HL-LHC era, the radiation is expected to reach unprecedented values, with non- ionizing fluence of 1e16 neq/cm2 and ionizing dose of 5 MGy. To cope with the resulting increase in occupancy, bandwidth, and radiation damage, the current ATLAS Inner Detector is replaced by an all-silicon system. The Pixel Detector will consist of five-barrel layers and a number of rings, resulting in about 13 m2 of instrumented area. The ITk pixel system has been very carefully designed including three different flavours of silicon hybrid detectors equipped with novel ASICS and data transmission chains. A new serial powering scheme has also been developed to minimize the amount of material in the detector. Along the lifetime of this project from design to prototyping (current) stages many challenges have been encountered and unforeseen problems have to be solved. In this contribution, an overview of the ITk pixel detector layout and the most challenging tasks resolved by now will be shown. From the mechanical point of view, the detector’s structure has to be robust and light providing support to the whole system, including local supports for modules and electronics, cables to power the detector and to drive the data in and out of the volume and cooling. All material and structures are designed to withstand all the possible conditions and cycles along the life of the detector. A customized cooling system will allow the operation of the detector at -35 C. Therefore, the detector will be exposed to a large number of temperature cycles that will stress it. Prototypes of mechanical supports systems at different stages of the project are tested and qualified. The environmental conditions at different locations within the pixel system will be monitored and linked to an interlock system that will protect the detector from major damages in case of any malfunction. Achieving that requires that the operation conditions of every pixel module are monitored by a Detector Control System (DCS). Due to the HL-LHC collisions rate, the data needs to be driven form the front-end chip to the opto-electrical conversion system with high-speed transmission parallel lines (TwinAx cables) running at 1.28 Gb/s per data link. An Optosystem features custom designed radiation-hard electronics devoted to signal equalization, aggregation (to 10.24 Gb/s) and opto-electrical conversion. Regarding the active part of the system, the pixel modules have gone through an extensive R&D program to identify what sensor technologies and thicknesses will be used in the final detector to achieve the best possible tracking performance. Prototypes have been already loaded on demonstrators and are going through exhaustive testing and qualification campaigns. The highlights of this effort together with the outcome can be expected within this contribution. At the end of this contribution the audience will get a good understanding of the status of the ATLAS-ITk pixel project and what have been the biggest challenges faced up to the day of this presentation and what are the major ones that we still have to overcome. SLIDE ATLAS Pixel Collaboration CERN CDS-Invenio WebSubmit SzGeCERN Particle Physics - Experiment SzGeCERN ITK CERN ITk pixel CERN FUTURE CERN INTNOTE PRIVATLAS PUBLATLASSLIDE CERN LHC ATLAS AUTHOR|(SzGeCERN)834939 AUTHOR|(CDS)2644809 Nechaeva, Serafima design of the poster serafima.nechaeva@cern.ch Universita e INFN, Bologna (IT) PH-EP ATLAS Collaboration http://cds.cern.ch/record/2871412 Original Communication (restricted to ATLAS) 2490336 11566982 http://cds.cern.ch/record/2879057/files/ATL-ITK-SLIDE-2023-613.pdf serafima.nechaeva@cern.ch n 202370 91 2871406 ATL-ITK-SLIDE-2023-613 siena20230925 PUBLIC 000781270CER PUBLATLASSLIDE Slides 2884750 20260210074208.0 oai:cds.cern.ch:2884750 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI Elsevier B.V. 10.1016/j.future.2024.04.060 publication DOI OSTI 10.2172/2280557 arXiv oai:arXiv.org:2312.09733 oai:inspirehep.net:2737763 https://inspirehep.net/api/oai2d Inspire 2026-02-09T13:39:05Z 2026-02-10T03:01:47Z marcxml true Inspire 2737763 arXiv arXiv:2312.09733 quant-ph FERMILAB-PUB-24-0001-SQMS LA-UR-24-20107 eng Alexeev, Yuri Argonne, PHY Argonne National Laboratory, Lemont, IL 60439, USA Elsevier B.V. Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions 2024-05-31 2023-12-14 45 p arXiv 65 pages, 15 figures; comments welcome Elsevier B.V. Computational models are an essential tool for the design, characterization, and discovery of novel materials. Computationally hard tasks in materials science stretch the limits of existing high-performance supercomputing centers, consuming much of their resources for simulation, analysis, and data processing. Quantum computing, on the other hand, is an emerging technology with the potential to accelerate many of the computational tasks needed for materials science. In order to do that, the quantum technology must interact with conventional high-performance computing in several ways: approximate results validation, identification of hard problems, and synergies in quantum-centric supercomputing. In this paper, we provide a perspective on how quantum-centric supercomputing can help address critical computational problems in materials science, the challenges to face in order to solve representative use cases, and new suggested directions. •Fundamental quantum algorithms to construct quantum–classical workflows.•Classical processing to alleviate quantum workloads and deal with large data.•Classical workload management and programming models for quantum workflows.•Use cases representative of the variety of topics in materials science. arXiv Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of existing high-performance supercomputing centers, consuming much of their simulation, analysis, and data resources. Quantum computing, on the other hand, is an emerging technology with the potential to accelerate many of the computational tasks needed for materials science. In order to do that, the quantum technology must interact with conventional high-performance computing in several ways: approximate results validation, identification of hard problems, and synergies in quantum-centric supercomputing. In this paper, we provide a perspective on how quantum-centric supercomputing can help address critical computational problems in materials science, the challenges to face in order to solve representative use cases, and new suggested directions. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication © 2024 Published by Elsevier B.V. QIS 2023-12-21 abs arXiv cond-mat.mtrl-sci arXiv quant-ph SzGeCERN General Theoretical Physics CERN ARTICLE Amsler, Maximilian Unlisted, DE Corporate Sector Research and Advance Engineering, Robert Bosch GmbH, Robert-Bosch-Campus 1, D-71272 Renningen, Germany Barroca, Marco Antonio Rio de Janeiro, IMPA Rio de Janeiro, CBPF IBM Research, Rio de Janeiro, 20031-170, RJ, Brazil Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro, 22290-180, RJ, Brazil Bassini, Sanzio CINECA CINECA, via Magnanelli 6,/3, 40033 Casalecchio di Reno, BO, Italy Battelle, Torey Arizona State U. Arizona State University, Tempe, AZ, USA Camps, Daan LBL, Berkeley National Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Casanova, David Donostia Intl. Phys. Ctr., San Sebastian IKERBASQUE, Bilbao Basque U., Bilbao Donostia International Physics Center (DIPC), 20018 Donostia-San Sebastián, Euskadi, Spain Ikerbasque, Basque Foundation for Science, 48009 Bilbao, Spain Choi, Young Jai Yonsei U. Department of Physics, Yonsei University, Seoul 03722, Republic of Korea Chong, Frederic T. Chicago U. University of Chicago, Chicago, IL, USA Chung, Charles IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Codella, Christopher IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Córcoles, Antonio D. IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Cruise, James Cambridge U. Cambridge U., DAMTP Cambridge Consultants part of Capgemini Invent, Cambridge, UK Di Meglio, Alberto CERN European Organization for Nuclear Research (CERN), Geneva 1211, Switzerland Duran, Ivan IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Eckl, Thomas Unlisted, DE Corporate Sector Research and Advance Engineering, Robert Bosch GmbH, Robert-Bosch-Campus 1, D-71272 Renningen, Germany Economou, Sophia Virginia Tech. Virginia Tech, Blacksburg, VA 24061, USA Eidenbenz, Stephan Los Alamos Los Alamos National Laboratory, Los Alamos, NM 87545, USA Elmegreen, Bruce IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Fare, Clyde IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Faro, Ismael IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Fernández, Cristina Sanz IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Ferreira, Rodrigo Neumann Barros Rio de Janeiro, IMPA IBM Research, Rio de Janeiro, 20031-170, RJ, Brazil Fuji, Keisuke Osaka U. Osaka University, Osaka 560-8531, Japan Fuller, Bryce IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Gagliardi, Laura U. Chicago (main) Argonne, PHY Department of Chemistry, Chicago Center for Theoretical Chemistry, University of Chicago, Chicago, IL, USA Argonne National Laboratory, Lemont, IL 60439, USA Galli, Giulia Chicago U. Argonne, PHY University of Chicago, Chicago, IL, USA Argonne National Laboratory, Lemont, IL 60439, USA Glick, Jennifer R. IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Gobbi, Isacco Fraunhofer Inst., Kaiserslautern Fraunhofer ITWM, Kaiserslautern, Rheinland-Pfalz 67663, DE, Germany Gokhale, Pranav Unlisted, US Infleqtion, Chicago, IL 60622, USA de la Puente Gonzalez, Salvador IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Greiner, Johannes IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Gropp, Bill Illinois U., Urbana University of Illinois Urbana-Champaign, USA Grossi, Michele CERN European Organization for Nuclear Research (CERN), Geneva 1211, Switzerland Gull, Emanuel Michigan U. University of Michigan, Ann Arbor, MI 48109, USA Healy, Burns Harbin Inst. Tech. Dell Technologies, Research Office, USA Hermes, Matthew R. Chicago U. Department of Chemistry, Chicago Center for Theoretical Chemistry, University of Chicago, Chicago, IL, USA Huang, Benchen Chicago U. University of Chicago, Chicago, IL, USA Humble, Travis S. Oak Ridge Oak Ridge National Laboratory, One Bethel Valley Road, Oak Ridge, TN 37831, USA Ito, Nobuyasu RIKEN AICS, Kobe RIKEN Center for Computational Science (R-CCS), Kobe, Hyogo 650-0047, Japan Izmaylov, Artur F. Toronto U. Toronto U., Scarborough Coll. Chemical Physics Theory Group, Department of Chemistry, University of Toronto, Toronto, Ontario M5S 3H6, Canada Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario M1C 1A4, Canada Javadi-Abhari, Ali IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Jennewein, Douglas Arizona State U. Arizona State University, Tempe, AZ, USA Jha, Shantenu Brookhaven Rutgers U., Piscataway Brookhaven National Laboratory, Upton, NY, USA Rutgers University, New Brunswick, NJ, USA Jiang, Liang Chicago U. University of Chicago, Chicago, IL, USA Jones, Barbara IBM, San Jose IBM Quantum, IBM Research Almaden, San Jose, CA 95120, USA de Jong, Wibe Albert LBNL, Berkeley Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA Jurcevic, Petar IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Kirby, William IBM, Cambridge IBM Quantum, IBM Research Cambridge, Cambridge, MA 02142, USA Kister, Stefan IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Kitagawa, Masahiro Osaka U. Osaka University, Osaka 560-8531, Japan Klassen, Joel Unlisted, UK Phasecraft Ltd., London, UK Klymko, Katherine LBL, Berkeley National Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Koh, Kwangwon Taejon, Elect. Telecomm. Res. Inst. Electronics and Telecommunications Research Institute (ETRI), Daejeon, Republic of Korea Kondo, Masaaki Keio U. RIKEN AICS, Kobe Keio University, Yokohama, Kanagawa 223-8522, Japan RIKEN Center for Computational Science (R-CCS), Kobe, Hyogo 650-0047, Japan Kürkçüog̃lu, Dog̃a Murat Fermilab Fermi National Accelerator Laboratory, Batavia, IL 60510, USA Superconducting Quantum Materials and Systems Center (SQMS), Fermi National Accelerator Laboratory, Batavia, IL 60510, USA Kurowski, Krzysztof Poznan Tech. U. Poznań Supercomputing and Networking Center, IBCH PAS Poznań, Poland Laino, Teodoro IBM, Zurich IBM Research Europe, Säumerstrasse 4, 8803 Rüschlikon, Switzerland Landfield, Ryan Oak Ridge Oak Ridge National Laboratory, One Bethel Valley Road, Oak Ridge, TN 37831, USA Leininger, Matt LLNL, Livermore Lawrence Livermore National Laboratory, Livermore, CA 94550, USA Leyton-Ortega, Vicente Oak Ridge Oak Ridge National Laboratory, One Bethel Valley Road, Oak Ridge, TN 37831, USA Li, Ang PNL, Richland Washington U., Seattle Pacific Northwest National Laboratory, Richland, WA 99354, USA University of Washington, Seattle, WA 98195, USA Lin, Meifeng Brookhaven Brookhaven National Laboratory, Upton, NY, USA Liu, Junyu Chicago U. University of Chicago, Chicago, IL, USA Lorente, Nicolas Basque U., San Sebastian IKERBASQUE, Bilbao Donostia Intl. Phys. Ctr., San Sebastian Centro de Fisica de Materiales (CSIC-EHU), 20018 Donostia-San Sebastián, Euskadi, Spain Donostia International Physics Center (DIPC), 20018 Donostia-San Sebastián, Euskadi, Spain Luckow, Andre Unlisted BMW Group, Munich, Germany Martiel, Simon IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Martin-Fernandez, Francisco IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Martonosi, Margaret Princeton U. Princeton University, Princeton, NJ, USA Marvinney, Claire Oak Ridge Oak Ridge National Laboratory, One Bethel Valley Road, Oak Ridge, TN 37831, USA Medina, Arcesio Castaneda Fraunhofer Inst., Kaiserslautern Fraunhofer ITWM, Kaiserslautern, Rheinland-Pfalz 67663, DE, Germany Merten, Dirk Fraunhofer Inst., Kaiserslautern Fraunhofer ITWM, Kaiserslautern, Rheinland-Pfalz 67663, DE, Germany Mezzacapo, Antonio mezzacapo@ibm.com IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Michielsen, Kristel IAS, Julich Jülich Supercomputing Centre, Institute for Advanced Simulation, Forschungszentrum Jülich, 52425 Jülich, Germany Mitra, Abhishek U. Chicago (main) Department of Chemistry, Chicago Center for Theoretical Chemistry, University of Chicago, Chicago, IL, USA Mittal, Tushar IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Moon, Kyungsun Yonsei U. Department of Physics, Yonsei University, Seoul 03722, Republic of Korea Moore, Joel UC, Berkeley LBL, Berkeley University of California, Berkeley, CA 94720, USA National Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Mostame, Sarah IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Motta, Mario IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Na, Young-Hye IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Nam, Yunseong IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Narang, Prineha Brookhaven Cal State, L.A. Brookhaven National Laboratory, Upton, NY, USA University of California Los Angeles, Los Angeles, California 90095, USA Ohnishi, Yu-ya Toshiba, Kawasaki JSR Corporation, 3-103-9, Tonomachi, Kawasaki-ku, Kawasaki, Kanagawa, 210-0821, Japan Ottaviani, Daniele CINECA CINECA, via Magnanelli 6,/3, 40033 Casalecchio di Reno, BO, Italy Otten, Matthew Wisconsin U., Madison Department of Physics, University of Wisconsin - Madison, Madison, WI 53706, USA Pakin, Scott Los Alamos Los Alamos National Laboratory, Los Alamos, NM 87545, USA Pascuzzi, Vincent R. IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Pednault, Edwin IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Piontek, Tomasz Poznan Tech. U. Poznań Supercomputing and Networking Center, IBCH PAS Poznań, Poland Pitera, Jed IBM, San Jose IBM Research, IBM Research Almaden, San Jose, CA 95120, USA Rall, Patrick IBM, Cambridge IBM Quantum, IBM Research Cambridge, Cambridge, MA 02142, USA Ravi, Gokul Subramanian Michigan U. University of Michigan, Ann Arbor, MI 48109, USA Robertson, Niall Unlisted, IE IBM Quantum, IBM Research Europe - Dublin, IBM Technology Campus, Dublin 15, Ireland Rossi, Matteo A.C. Unlisted, FI Algorithmiq Ltd, Kanavakatu 3 C, FI-00160, Helsinki, Finland Rydlichowski, Piotr Poznan Tech. U. Poznań Supercomputing and Networking Center, IBCH PAS Poznań, Poland Ryu, Hoon KISTI, Daejeon Korea Institute of Science and Technology Information, Daejeon 34141, Republic of Korea Samsonidze, Georgy Unlisted, DE Robert Bosch LLC, Research and Technology Center, Sunnyvale, CA 94085, USA Sato, Mitsuhisa RIKEN AICS, Kobe RIKEN Center for Computational Science (R-CCS), Kobe, Hyogo 650-0047, Japan Saurabh, Nishant Utrecht U. Department of Information and Computing Sciences, Utrecht University, The Netherlands Sharma, Vidushi IBM Watson Res. Ctr. IBM Quantum, Almaden Research Center, San Jose, CA 95120, USA Sharma, Kunal IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Shin, Soyoung IBM, San Jose IBM Quantum, Almaden Research Center, San Jose, CA 95120, USA Slessman, George Artep Inc. CR8DL, Inc., USA Steiner, Mathias Rio de Janeiro, IMPA IBM Research, Rio de Janeiro, 20031-170, RJ, Brazil Sitdikov, Iskandar IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Suh, In-Saeng Oak Ridge Oak Ridge National Laboratory, One Bethel Valley Road, Oak Ridge, TN 37831, USA Switzer, Eric D. Donostia Intl. Phys. Ctr., San Sebastian IKERBASQUE, Bilbao Donostia International Physics Center (DIPC), 20018 Donostia-San Sebastián, Euskadi, Spain Department of Physics, University of Central Florida, Florida 32816, USA Tang, Wei Princeton U. Princeton University, Princeton, NJ, USA Thompson, Joel USRA, Huntsville Applied Mathematics, Boeing Research & Technology, Huntsville, AL 35824, USA Todo, Synge Tokyo U. The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan Tran, Minh C. IBM, Cambridge IBM Quantum, IBM Research Cambridge, Cambridge, MA 02142, USA Trenev, Dimitar Unlisted, US ExxonMobil Technology and Engineering Company, Annandale, NJ 08801, USA Trott, Christian Sandia Sandia National Laboratories, Albuquerque, NM, USA Tseng, Huan-Hsin Brookhaven Brookhaven National Laboratory, Upton, NY, USA Tubman, Norm M. Unlisted, US NASA Ames, Mountain View, CA, USA Tureci, Esin Princeton U. Princeton University, Princeton, NJ, USA Valiñas, David García IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA Vallecorsa, Sofia CERN European Organization for Nuclear Research (CERN), Geneva 1211, Switzerland Wever, Christopher Unlisted, DE Corporate Sector Research and Advance Engineering, Robert Bosch GmbH, Robert-Bosch-Campus 1, D-71272 Renningen, Germany Wojciechowski, Konrad Poznan Tech. U. Poznań Supercomputing and Networking Center, IBCH PAS Poznań, Poland Wu, Xiaodi Maryland U. University of Maryland, College Park, USA Yoo, Shinjae Brookhaven Brookhaven National Laboratory, Upton, NY, USA Yoshioka, Nobuyuki Tokyo U. The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan Yu, Victor Wen-zhe Argonne, PHY Argonne National Laboratory, Lemont, IL 60439, USA Yunoki, Seiji RIKEN AICS, Kobe Nishina Ctr., RIKEN RIKEN Center for Computational Science (R-CCS), Kobe, Hyogo 650-0047, Japan RIKEN Center for Quantum Computing (RQC), Wako, Saitama 351-0198, Japan Zhuk, Sergiy Unlisted, IE IBM Quantum, IBM Research Europe - Dublin, IBM Technology Campus, Dublin 15, Ireland Zubarev, Dmitry IBM Watson Res. Ctr. IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA 666-710 publication Future Gener. Comput. Syst. 160 2024 https://lss.fnal.gov/archive/2024/pub/fermilab-pub-24-0001-sqms.pdf Fermilab Accepted Manuscript 2502107 475752 http://cds.cern.ch/record/2884750/files/map.png 00014 Schematics overview of use cases in materials discovery. A central task of quantum theory is describing the properties of molecules and solids (blue). This goal can be achieved by solving for the electronic Schrodinger equation to compute e.g. ground-state, excited-states, and non-equilibrium dynamical properties (vertical arrow). Due to computational limitations, one can introduce approximations to the fundamental electronic structure problem, that reduce the size of the quantum problem within the existing computational budget (red). Accurate solutions of the electronic Schrodinger equation are the starting point (green) for important applications in materials science, including vibrational structure calculations, coarse-grained models (e.g. corrosion, deformation), and materials discovery (e.g. catalysis, metamaterials). 2502108 153933 http://cds.cern.ch/record/2884750/files/example_integration.png 00010 Integration between classical (HPC) and quantum computing resources exemplified by the variational quantum eigensolver. The steps of the calculation are represented by gray blocks, connected by arrows describing the flow of operations and arranged left/center/right for operation that require ``long-time/near-time/real-time'' interaction between HPC and quantum computers (see also main text). 2502109 642931 http://cds.cern.ch/record/2884750/files/fes.png 00015 The \ce{Fe2S2} (a) and \ce{Fe4S4} (b) clusters of ferredoxins, the P-cluster of nitrogenase in the resting state \ce{P^N} (c), and the FeMo-cofactor of nitrogenase (d). Orange, yellow, teal, red, blue, gray, and white sticks denote Fe, S, Mo, O, N, C, and H atoms respectively. 2502110 154357 http://cds.cern.ch/record/2884750/files/PEPS-MERA.png 00013 Different types of tensor network simulators: (a) Matrix Product States (MPS), (b) Tree Tensor Networks (TTN), (c) Projected Entangled Pair States (PEPS), and (d) Multi-scale Entanglement Renormalization Ansatz (MERA). 2502111 722912 http://cds.cern.ch/record/2884750/files/metamaterial-fig.png 00019 The schematic structure of the planar multi-layer in the transparent radiative cooling metamaterial that can be mapped into a binary vector (from \cite{10.1021/acsenergylett.2c01969}). 2502112 4648360 http://cds.cern.ch/record/2884750/files/2312.09733.pdf Fulltext 2502113 71622 http://cds.cern.ch/record/2884750/files/qram4.png 00003 QRAM as a binary tree of $\text{Q}^2$ routers. Here, $\text{Q}^2$ router refers to the router with both control and signal states being quantum states. 2502114 279154 http://cds.cern.ch/record/2884750/files/lattice.png 00017 (a) schematic view of a [CuO$_2]_4$ cell in a cuprate CuO$_2$ plane. Cu/O atoms are represented with orange/red circles and orbitals by blue and green contour plots (blue/green for positive/negative values). (b) definition of the three-band Hubbard model parameters (the curve connectors represent the kinetic energy coefficients). 2502115 21061 http://cds.cern.ch/record/2884750/files/SWAPNetwork.png 00006 Example SWAP network for $n=6$ qubits. In $O(n)$ steps, each of the $O(n^2)$ pair of qubits (colors) performs an interaction, even with just linear connectivity. 2502116 54005 http://cds.cern.ch/record/2884750/files/qram7.png 00005 $(a)$ Self-similar fractal structure of the H-tree designs (see~\cite{xu2023systems}). One can use the self-similar structure to create a size $2^{n+2}$ QRAM from 4 units of size $2^n$ QRAM. $(b)$: An example of depth-4 tree with $2^4=16$ leaves. 2502117 7295 http://cds.cern.ch/record/2884750/files/pauli_rotations_bad.png 00007 Two circuits implementing the same sequence $R_{\operatorname{YY}}(\theta_3)\cdot R_{\operatorname{XZ}}(\theta_2)\cdot R_{\operatorname{XX}}(\theta_1)$. 2502118 38884 http://cds.cern.ch/record/2884750/files/qram1.png 00000 $(a)$ An illustration of QRAM made by quantum routers. $(b)$ An illustration of QROM. $(c)$ Hybrid QRAM-QROM architecture. 2502119 29614 http://cds.cern.ch/record/2884750/files/qram2.png 00001 $(a)$ An illustration of QRAM made by quantum routers. $(b)$ An illustration of QROM. $(c)$ Hybrid QRAM-QROM architecture. 2502120 38013 http://cds.cern.ch/record/2884750/files/qram3.png 00002 $(a)$ An illustration of QRAM made by quantum routers. $(b)$ An illustration of QROM. $(c)$ Hybrid QRAM-QROM architecture. 2502121 169026 http://cds.cern.ch/record/2884750/files/Frenkel_exciton_Hamiltonians.png 00018 The shaded region in the graph illustrates the estimated sizes of treatable systems when simulating Frenkel exciton Hamiltonians using current classical supercomputing resources. Three photosynthetic systems are presented: the Fenna-Matthews-Olson complex of Green-Sulfur Bacteria, the Light Harvesting I and II complexes of Purple Bacteria, and Photosystem II of higher plants. The simulation was conducted utilizing the hierarchical equations of motion approach on 64 AMD Opteron cores, utilizing a total of 250 GB of RAM. Image from~\cite{Mostame2016}. 2502122 64614 http://cds.cern.ch/record/2884750/files/MPS-TTN.png 00012 Different types of tensor network simulators: (a) Matrix Product States (MPS), (b) Tree Tensor Networks (TTN), (c) Projected Entangled Pair States (PEPS), and (d) Multi-scale Entanglement Renormalization Ansatz (MERA). 2502123 4784 http://cds.cern.ch/record/2884750/files/pauli_rotations_good.png 00008 Two circuits implementing the same sequence $R_{\operatorname{YY}}(\theta_3)\cdot R_{\operatorname{XZ}}(\theta_2)\cdot R_{\operatorname{XX}}(\theta_1)$. 2502124 264384 http://cds.cern.ch/record/2884750/files/spins.png 00016 Left: crystal structure of $\alpha$-RuCl$_3$, illustrating the van der Walls gap between the RuCl$_6$ honeycomb layers (with Ru/Cl atoms represented as gray/green circles) and magnetic Ru$^{3+}$ ions aligned as in the zigzag phase (red arrows). Right: schematic representation of the two-dimensional Heisenberg-Kitaev model with spins represented as white circles and $x/y/z$ bonds as green/blue/red links respectively. Quantum simulations to date have focused on 1 and 2 hexagons, corresponding to 6 and 10 spins respectively \cite{tazhigulov2022simulating}. 2502125 103884 http://cds.cern.ch/record/2884750/files/hpc-quantum-integration.png 00009 Quantum-centric supercomputing integration overview. Integration channel can be tight or loosely coupled, which will affect throughput and latency of transmitted payload. Real-time compute is possible on co-located quantum side; near-time compute can be executed on quantum and HPC sides; long-time compute should happen on HPC side. Depending on implementation WMS can schedule tasks on quantum side through API or direct access to classical nodes of quantum side. 2506567 4292556 http://cds.cern.ch/record/2884750/files/FERMILAB-PUB-24-0001-SQMS.pdf Fulltext 2556797 28946 http://cds.cern.ch/record/2884750/files/WG-programming-models.drawio.png 00011 Programming model layers. (L1) Hardware layer: electronics, firmware \ref{sec:MemoryModel}. (L2) Computational layer: circuits \ref{sec:ExecutionModel} \ref{dataTypes}. (L3) Library layer: functions. (L4) Application layer: domain specific applications. 2691869 4328427 http://cds.cern.ch/record/2884750/files/990a7c5cfb7293c88d2918a117658c8c.pdf Fulltext 2784581 24580 http://cds.cern.ch/record/2884750/files/qram6.png 00004 $(a)$ Self-similar fractal structure of the H-tree designs (see~\cite{xu2023systems}). One can use the self-similar structure to create a size $2^{n+2}$ QRAM from 4 units of size $2^n$ QRAM. $(b)$: An example of depth-4 tree with $2^4=16$ leaves. 2506567 226022 http://cds.cern.ch/record/2884750/files/FERMILAB-PUB-24-0001-SQMS.jpg?subformat=icon-1440 icon-1440 Fulltext 2506567 226022 http://cds.cern.ch/record/2884750/files/FERMILAB-PUB-24-0001-SQMS.jpg?subformat=icon-640 icon-640 Fulltext 2506567 226022 http://cds.cern.ch/record/2884750/files/FERMILAB-PUB-24-0001-SQMS.jpg?subformat=icon-700 icon-700 Fulltext 2506567 77074 http://cds.cern.ch/record/2884750/files/FERMILAB-PUB-24-0001-SQMS.gif?subformat=icon icon Fulltext 2506567 78022 http://cds.cern.ch/record/2884750/files/FERMILAB-PUB-24-0001-SQMS.jpg?subformat=icon-180 icon-180 Fulltext 13 ARTICLE 2884472 20240208062917.0 oai:cds.cern.ch:2884472 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI Elsevier Ltd 10.1016/j.apradiso.2023.110666 publication arXiv oai:arXiv.org:2205.15926 oai:inspirehep.net:2089733 https://inspirehep.net/api/oai2d Inspire 2024-02-07T14:57:10Z 2024-02-08T04:15:55Z marcxml true Inspire 2089733 arXiv arXiv:2205.15926 physics.ins-det eng Jörg, Florian Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany Elsevier Ltd Production and characterization of a $^{222}$Rn-emanating stainless steel source Elsevier Ltd Production and characterization of a $^{222}$Rn-emanating stainless steel source 2023-01-20 2022-05-31 7 p arXiv 9 pages, 11 figures, 8th ICRM-LLRMT conference (2022) Elsevier Ltd Precise radon measurements are a requirement for various applications, ranging from radiation protection over environmental studies to material screening campaigns for rare-event searches. All of them ultimately depend on the availability of calibration sources with a known and stable radon emanation rate. A new approach to produce clean and dry radon sources by implantation of <sup loc="pre">226</sup>Ra ions into stainless steel has been investigated. In a proof of principle study, two stainless steel plates have been implanted in collaboration with the ISOLDE facility located at CERN. We present results from a complete characterization of the sources. Each sample provides a radon emanation rate of about 2 Bq, which has been measured using electrostatic radon monitors as well as miniaturized proportional counters. Additional measurements using HPGe and alpha spectrometry as well as measurements of the radon emanation rate at low temperatures were carried out. •Production of <sup loc="pre">222</sup>Rn emanating stainless steel sources by implantation of <sup loc="pre">226</sup>Ra.•Measurement of the implanted activity (8 Bq) with HPGe- and alpha-spectrometry.•Radon emanation rate (2 Bq) measured by radon monitor and proportional counter.•Recoil dominated emanation without significant dependence on temperature and pressure. arXiv Precise radon measurements are a requirement for various applications, ranging from radiation protection over environmental studies to material screening campaigns for rare-event searches. All of them ultimately depend on the availability of calibration sources with a known and stable radon emanation rate. A new approach to produce clean and dry radon sources by implantation of $^{226}$Ra ions into stainless steel has been investigated. In a proof of principle study, two stainless steel plates have been implanted in collaboration with the ISOLDE facility located at CERN. We present results from a complete characterization of the sources. Each sample provides a radon emanation rate of about 2 Bq, which has been measured using electrostatic radon monitors as well as miniaturized proportional counters. Additional measurements using HPGe and alpha spectrometry as well as measurements of the radon emanation rate at low temperatures were carried out. preprint CC BY-NC-ND 4.0 http://creativecommons.org/licenses/by-nc-nd/4.0/ publication Elsevier Ltd 2023 CDS For annual report arXiv nucl-ex SzGeCERN Nuclear Physics - Experiment arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques CERN ARTICLE CERN ISOLDE Eurin, Guillaume Heidelberg, Max Planck Inst. IRFU, Saclay Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France11Present address. Simgen, Hardy Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany 110666 publication Appl. Radiat. Isot. 194 2023 C22-05-02.1 2501541 12147 http://cds.cern.ch/record/2884472/files/thermal_setup.png 00008 Sketch of the setup used for the study of temperature dependence of radon emanation rate. 2501542 10647 http://cds.cern.ch/record/2884472/files/by-nc-nd.eu.png 00000 Ra 2501543 39477 http://cds.cern.ch/record/2884472/files/alpha_spectrum_long.png 00003 Alpha spectrum acquired for \textit{sample A} long (1.7\,years) after the implantation~\cite{Lecher:2019}. Alpha emission lines from isotopes belonging to the uranium (blue) and thorium (orange) decay chains are visible. 2501544 67766 http://cds.cern.ch/record/2884472/files/alpha_spectrum_early.png 00010 Alpha emission spectrum of the implanted stainless steel \textit{sample B} 13\,weeks after the implantation~\cite{Herrero:2018}. Most intense alpha emission lines (solid lines) are fit using a sum of Crystal Ball functions~\cite{Skwarnicki:1986xj} with the residuals between data and fit function shown in the lower panel. Data falling in the gray bands were excluded from the fit. Dashed lines indicate possible subdominant contributions. 2501545 763897 http://cds.cern.ch/record/2884472/files/sample_picture.png 00001 \textbf{Top: }Picture of one of the \isotope{226}{Ra} implanted stainless steel samples. \textbf{Bottom: }Expected implantation depth distribution as simulated using SRIM \cite{Ziegler:2010, Joerg:2017}. 2501546 9086 http://cds.cern.ch/record/2884472/files/density_profile.png 00002 \textbf{Top: }Picture of one of the \isotope{226}{Ra} implanted stainless steel samples. \textbf{Bottom: }Expected implantation depth distribution as simulated using SRIM \cite{Ziegler:2010, Joerg:2017}. 2501547 1971524 http://cds.cern.ch/record/2884472/files/2205.15926.pdf Fulltext 2501548 9131 http://cds.cern.ch/record/2884472/files/emanation_t_dependence.png 00009 Temperature dependence of the radon emanation rate of the \isotope{226}{Ra} implanted stainless steel \textit{sample B} as measured using an electrostatic radon monitor. 2501549 30082 http://cds.cern.ch/record/2884472/files/hpge_spectrum.png 00005 HPGe gamma spectrum acquired for \textit{sample B}. The most prominent emission lines of $^{226}$Ra (red) as well as its short-lived daughter isotopes $^{214}$Bi (blue) and $^{214}$Pb (yellow) are highlighted. The region around the 186.2\,keV emission line of $^{226}$Ra is shown enlarged in the inset. 2501550 841122 http://cds.cern.ch/record/2884472/files/emanation_vessel.png 00006 Emanation vessel used for the measurement of the sample's radon emanation rates. The aluminum ring (front) is used to fix the sample in place. 2501551 4274 http://cds.cern.ch/record/2884472/files/hpge_sketch.png 00004 Cutaway view of the interleaved shielding of the HPGe spectrometer used in this work (figure adapted from~\cite{budjavs:2009}). 2501552 35255 http://cds.cern.ch/record/2884472/files/ce_time_evolution.png 00011 Time evolution of the $^{139}$Ce activity found in \textit{sample B}. The inset shows the corresponding region of the gamma spectrum for the second measurement. 2501553 17946 http://cds.cern.ch/record/2884472/files/radon_emanation.png 00007 Equilibrium emanation rate of \isotope{222}{Rn} at room temperature for both samples. Measurements carried out in helium atmosphere at pressure of 1050\,mbar (except for indicated measurement) using miniaturized proportional counters~\cite{Kiko:2001}. 13 2884386 110666 assergi20220502 ARTICLE 2883425 20260313144025.0 oai:cds.cern.ch:2883425 cerncds:TALK eng Indico 11257 Torero, José L CERN. Geneva 2023-12-05T16:00:00 HSE Seminar - Understanding the Fire Safe Design of Unique and Complex Environments CERN - 6/2-024 - BE Auditorium Meyrin 1348433 2023-12-05T17:30:00 HSE Seminar - Understanding the Fire Safe Design of Unique and Complex Environments 2023 2023-12-05 4827 Streaming video Seminars 2023-12-05T16:00:00 <!--HTML--><p>Most buildings follow well established design approaches that allow to translate fire safe design into a logical process that generally delivers acceptable outcomes in the event of a fire. The fire safety strategy involves detection and alarm for early warning of occupants, guided and effective egress, control of the fire growth by means of flammability requirements, compartmentation and fire suppression systems and the guarantee that the structure will support all these measures. Finally, the fire service acts as the redundancy to the building fire safety strategy. The characteristics of these building blocks can change depending on the environment in which they are being used and the way they are implemented can also vary, nevertheless, most environments use these building blocks to construct a solution to the fire safety problem. Simple problems might not need certain building block, nevertheless they are all available to the designer. Complex infrastructure is characterized by situations in which certain building blocks cannot be used. This infrastructure then needs a completely different approach to fire safety. In some cases, proven solutions have resulted in fire safety strategies that have become mainstream despite their uniqueness. This is the case of transport systems such as aircraft or spacecraft, where the impossibility of evacuation results in a strategy that relies fully on flammability control. This presentation addresses the design process of unique and complex infrastructure and presents a methodology to identify the unavailable building blocks and to construct a strategy that focuses on delivering adequate safety objectives in the absence of all the commonly used tools.</p><p><span>Professor José L. Torero is Professor Civil Engineering and Head of the Department of Civil, Environmental and Geomatic Engineering at University College London. He works in the field of fire safety where he specializes in complex environments such as complex urban environments, novel architectures, new construction materials, critical infrastructure, aircraft and spacecraft.&nbsp;</span></p><p><span>José is a Chartered Engineer (UK), a Registered Professional Engineer in Queensland, a fellow of the Royal Academy of Engineering (UK), The Royal Society of Edinburgh (UK), The Australian Academy of Technology and Engineering, the Society of Fire Protection Engineers (USA), the Institution of Fire Engineers (UK) and the Institution of Civil Engineers (UK).&nbsp;</span></p> CERN 2023 Seminars Event TALK CERN https://indico.cern.ch/event/1348433/ Event details MediaArchive /mnt/master_share/master_data/2023/1348433 Absolute master path MediaArchive /2023/1348433/1348433_en.vtt subtitle subtitle English MediaArchive /2023/1348433/1348433_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2023/1348433/1348433-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2023/1348433/1348433-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 131147 MediaArchive https://lecturemedia.cern.ch/2023/1348433/1348433-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 2840933 MediaArchive https://lecturemedia.cern.ch/2023/1348433/1348433-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 422253 MediaArchive https://lecturemedia.cern.ch/2023/1348433/1348433-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 1163897 MediaArchive https://lecturemedia.cern.ch/2023/1348433/1348433-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 500528 MediaArchive https://lecturemedia.cern.ch/2023/1348433/1348433-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3849010 MediaArchive https://lecturemedia.cern.ch/2023/1348433/1348433-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1200089 MediaArchive https://lecturemedia.cern.ch/2023/1348433/1348433-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 153290 julia.double@cern.ch 2023-12-07T13:55:30 2023-11-16T09:31:14 PUBLIC INDICO.1348433 https://videos.cern.ch/legacy/record/2883425 Indico TALK MIGRATED 2883260 SzGeCERN 20240705150303.0 DOI Elsevier B.V. 10.1016/j.nima.2022.167961 publication oai:cds.cern.ch:2883260 cerncds:CERN https://inspirehep.net/api/oai2d 2023-12-06T05:00:04Z marcxml oai:inspirehep.net:2619576 2023-12-04T09:25:39Z Inspire 2619576 eng Rigoletti, Gianluca gianluca.rigoletti@cern.ch CERN Elsevier B.V. Studies on RPC detectors operated with environmentally friendly gas mixtures in LHC-like conditions 2022 2023 Elsevier B.V. Resistive Plate Chambers (RPC) are largely employed at CERN LHC experiments thanks to their excellent trigger and timing performances. High Pressure Laminates (HPL) RPCs are operated with a gas mixture made of about 95% of C2H2F4, 5% of i-C4H10 and 0.3% of SF6. Both C2H2F4 and SF6 are known to be Greenhouse Gases (GHG), with a global warming potential of 1430 and 22800 respectively. Due to leaks at the detector level, RPCs accounted for about 87% of total GHG emissions from particle detectors at CERN during LHC Run 2. CERN has elaborated several strategies to reduce its GHG emissions and align with the European regulation on fluorinated gases. One strategy consists in the study of alternatives gases for particle detectors, with a particular focus on alternatives to R-134a and SF6. An experimental setup was designed to study RPC performances with eco-friendly gas mixture first with cosmic muons, where several gas mixtures could be tested. Few gas mixtures were then selected and a dedicated setup was installed at the Gamma Irradiation Facility of CERN to characterize detector performance with LHC-like background radiation and muon beam. Results with RPCs operated with lower GWP gas mixtures are presented in this work. The Authors publication © 2023 Elsevier B.V. All rights reserved. 2023 SzGeCERN Detectors and Experimental Techniques Elsevier B.V. Gaseous detectors Elsevier B.V. Resistive-plate chambers Elsevier B.V. Charge induction Elsevier B.V. Radiation damage to detector materials (gas detectors) Elsevier B.V. Gas systems and purification ARTICLE CERN CERN-EP-RDET Guida, Roberto CERN Mandelli, Beatrice CERN 167961 publication 2023 Nucl. Instrum. Methods Phys. Res., A 1048 C22-05-22 13 2808390 la biodola - isola d'elba20220522 167961 ARTICLE ConferencePaper 2883233 20250515232520.0 oai:cds.cern.ch:2883233 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN CERN-THESIS-2023-276 eng AUTHOR|(CDS)2808438 AUTHOR|(SzGeCERN)858844 Juks, Stefania-Alexandra stefania-alexandra.juks@cern.ch U. Paris-Saclay A multi-criteria framework for assessing eco-friendly gas alternatives for particle detectors: Case Study of CERN’s Resistive Plate Chamber (RPC) Detectors 08/11/2023 88 p Presented 08 Nov 2023 Master Imperial Coll., London 2023-09-06 Greenhouse gas (GHG) emissions from anthropogenic sources are the main contributor to global warming. All sectors, including the particle physics research community, need to optimise their environmental footprint to reach climate neutrality. In particle detection, experiments employ gaseous detectors that operate with mixtures with significant Global Warming Potentials (GWP). Specifically, for the case study, we consider CERN’s Resis- tive Plate Chamber (RPC) Detectors operated with a hydrofluorocarbon (HFC) blend - 95.2% R-134a, 4.5% i-C4H10, and 0.3% SF6 yielding a GWP of 3384. Both the R-134a and SF6 components are under the European F-gas regulation and are currently in phase- down, making their supply and cost unpredictable. Previous studies on R-134a alternatives prioritised experimental performance and emissions, yet the studied gases could face more challenges by being included in the upcoming per- and polyfluorinated substances (PFAS) regulation. Here, we present a multi-criteria assessment framework for searching for eco- friendly gas alternatives for particle detectors, focusing on CERN’s RPCs, incorporating the detector’s performance, gas safety, emissions and market viability. Studies for R-134a and SF6 replacement are ongoing. For R-134a replacement, an ideal substitution is challenging. Nevertheless, adding 30% CO2 to the Standard Gas Mixture can reduce the GWP by almost 15%, ensuring safety, with the gas component remaining commercially accessible and avail- able. Considering the prominence of RPCs in Large Hadron Collider (LHC) experiments, reducing the R-134a consumption will be the direction to reduce GHGs. The developed framework can extend its applicability to other gaseous detectors operating with high-GWP gases beyond high-energy physics. CERN Technical Student Program CERN EDS SzGeCERN Detectors and Experimental Techniques CERN THESIS Oluleye, Gbemi dir. Imperial Coll., London Rigoletti, Gianluca dir. CERN EP 2498156 30448493 http://cds.cern.ch/record/2883233/files/CERN-THESIS-2023-276.pdf stefania-alexandra.juks@cern.ch n 202349 a2023 14 PUBLIC https://repository.cern/legacy/record/2883233 THESIS MIGRATED 2883230 20231206134758.0 oai:cds.cern.ch:2883230 cerncds:FULLTEXT Poster-2023-1129 eng LHCb - The LHCb Scintillating Fibre Tracker 2023 Geneva CERN 27 Nov 2023 dimitrios.kaminaris@cern.ch 1 p dimitrios.kaminaris@cern.ch; lukas.witola@cern.ch The LHCb detector underwent a major upgrade in the past years. The modifications enable the detector to operate at an increased instantaneous luminosity and to read out data at the LHC bunch crossing rate of 40MHz. The new operating conditions required the replacement of the complete tracking system. The main tracking stations are replaced by the SciFi Tracker, a large high granularity scintillating fibre tracker read out by arrays of silicon photomultipliers (SiPMs). A custom ASIC is used to digitise the SiPM signals at 40MHz using three comparators per channel. Further digital electronics perform clustering and data-compression before the data is sent via optical links to the DAQ system. The comparator thresholds are calibrated using a dedicated light injection system. The commissioning of this system, calibration results, and latest performance measurements are presented in this poster. The SciFi Tracker has three stations with four detection layers each and uses the BCAM system for real-time 3D monitoring. Originally developed for the ATLAS experiment, BCAM uses opto-electronic sensors to monitor the detector geometry detecting shifts or deformations caused by factors like LHCb magnet powering cycles, SciFi detector powering, or environmental variations. Preliminary results highlight BCAM's micron-level sensitivity (10-20 microns) and its effectiveness in monitoring the impact of magnetic fields and operational conditions on the detector alignment. CERN EDS CERN LHCb EP LHCb poster - 13th LHC students poster session https://indico.cern.ch/event/1340942/ 80 http://cds.cern.ch/record/2883230/files/ icon Access to files 2498154 15772364 http://cds.cern.ch/record/2883230/files/Poster-2023-1129.pdf 2498154 19999 http://cds.cern.ch/record/2883230/files/Poster-2023-1129.gif?subformat=icon icon lhcb.secretariat@cern.ch lhcb.secretariat@cern.ch POSTER 2883002 SzGeCERN 20231202230438.0 DOI Elsevier B.V. 10.1016/j.nima.2022.167954 publication oai:cds.cern.ch:2883002 cerncds:CERN https://inspirehep.net/api/oai2d 2023-12-02T08:56:18Z marcxml oai:inspirehep.net:2618544 2023-12-01T09:36:39Z Inspire 2618544 eng Alvarez, Diego CERN Elsevier B.V. An environmental monitoring and control system for the ATLAS ITk Outer Barrel quality control and integration 2022 2023 Elsevier B.V. This paper describes the development of a system based on Programmable Logic Controllers (PLC) for safety interlocking and environmental monitoring during ATLAS ITk Outer Barrel (OB) loaded local support quality control (QC) and later integration. The system has been developed at CERN with a focus on scalability, maintainability and reliability, and is expected to be deployed at the different ITk OB loading and integration sites. Elsevier B.V. publication © 2022 Elsevier B.V. All rights reserved. 2022 SzGeCERN Detectors and Experimental Techniques Elsevier B.V. ATLAS Elsevier B.V. ITk Elsevier B.V. Interlock Elsevier B.V. Integration Elsevier B.V. QC ARTICLE CERN Joos, Hans L CERN Gottingen U. University of Goettingen, Wilhelmsplatz 1, Goettingen, 37073, Germany Kühn, Susanne CERN Pacifico, Nicola nicola.pacifico@cern.ch CERN Pettersen, Jarl N CERN Pons, Xavier CERN Vormwald, Benedikt CERN 167954 publication 2023 Nucl. Instrum. Methods Phys. Res., A 1048 C22-05-22 13 2808390 la biodola - isola d'elba20220522 167954 ARTICLE ConferencePaper 2882921 20250515232519.0 oai:cds.cern.ch:2882921 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN DOI 10.6035/14101.2023.836968 INSPIRE 2744024 CERN-THESIS-2023-270 eng AUTHOR|(CDS)2099702 AUTHOR|(SzGeCERN)779426 Szczurek, Krzysztof Adam krzysztof.adam.szczurek@cern.ch Jaume I U., Castellon Mixed Reality Human-Robot Interface for Robotic Operations in Hazardous Environments Castellón de la Plana Jaume I U., Castellon 2023-11-07 23/10/2023 122 p Presented 23 Oct 2023 PhD Jaume I U., Castellon 2023-06-19 Interventions in high-risk hazardous environments often require teleoperated remote systems or mobile robotic manipulators to prevent human exposure to danger. The need for secure and effective teleoperation is growing, demanding enhanced environmental understanding and collision prevention. Therefore, the human-robot interfaces must be designed with reliability and safety in mind to enable the operator to perform remote inspections, repairs, or maintenance. Modern interfaces provide some degree of telepresence for the operator, but they do not allow full immersion in the controlled situation. Mixed Reality (MR) technologies with Head-Mounted Devices (HMDs) can address this issue, as they allow for stereoscopic perception and interaction with virtual and real objects simultaneously. However, such human-robot interfaces were not showcased in telerobotic interventions in hazardous environments, and the work done within this thesis intended to address this challenge. The research was done at the European Organization for Nuclear Research (CERN) for mobile robots operated remotely in particle accelerators and experimental areas. During the thesis progression, three subsequent goals were achieved. Firstly, the teleoperator was provided with immersive interactions while still ensuring the accurate positioning of the robot. These techniques had to be adapted to accommodate delays, bandwidth restrictions, and fluctuations in the 4G shared network of the realistic underground particle accelerator environment. A developed network optimization framework enabled Mixed Reality technologies, such as 3D collision detection and avoidance, trajectory planning, real-time control, and automated target approach. A novel application-layer congestion control with automatic settings was applied to the video and point cloud feedback with adaptive algorithms based on the camera frame rate, resolution, point cloud subsampling, network round-trip time, and throughput-to-bandwidth ratio. Secondly, the MR human-robot interface was designed to function with Augmented Reality (AR) HMDs in wireless network environments. The multimodal interface provided efficient and precise interaction through hand and eye tracking, user motion tracking, voice recognition, and video, 3D point cloud, and audio feedback from the robot. Furthermore, the interface allowed multiple experts to collaborate locally and remotely in the AR workspace, enabling them to share or monitor the robot's control. The interface was tested in real intervention scenarios at CERN to evaluate its performance. Network characterization and measurements were conducted to assess if the interface met the operational requirements and if the network architecture could support single and multi-user communication loads. Finally, the 3D MR human-robot interface was compared with a well-validated 2D interface to ensure it was safe and efficient. The 3D MR interface brought multiple valuable functionalities, which may have added to the operator's workload and stress while increasing system complexity. The CERN 3D MR and operational 2D interfaces were compared using the NASA TLX assessment method, custom questionnaires, task execution time curves, and by measurement of the heart rate (HR), respiration rate (RR), and skin electrodermal activity (EDA) evaluated by the developed Operator Monitoring System (OMS). The system was designed to measure the physiological parameters of a teleoperator during robotic interventions. Limitations and further research areas for improvement were identified, such as optimizing the network architecture for multi-user scenarios and applying automatic interaction strategies depending on network conditions for higher-level interface actions. The practical use of OMS revealed the necessity of applying machine learning techniques in signal interpretation to detect non-standard situations and utilizing contactless monitoring technology. The developed interface systems demonstrated operational readiness, achieving a Technical Readiness Level (TRL) 8, through successful single and multi-user missions. CERN Doctoral Student Program CC-BY-SA 4.0 http://creativecommons.org/licenses/by-sa/4.0/ CERN EDS SzGeCERN Engineering CERN THESIS Marin Prades, Raul dir. Jaume I U., Castellon Di Castro, Mario dir. CERN BE 2497516 37488362 http://cds.cern.ch/record/2882921/files/CERN-THESIS-2023-270.pdf https://www.tdx.cat/handle/10803/689263#page=1 Jaume I U., Castellon server marta.alegria@cern.ch n 202348 a2023 14 PUBLIC https://repository.cern/legacy/record/2882921 THESIS MIGRATED 2887940 20251201180451.0 oai:cds.cern.ch:2887940 cerncds:TALK eng Indico 84 CERN. Geneva The 3rd International Conference on Detector Stability and Aging Phenomena in Gaseous Detectors CERN - 4/3-006 - TH Conference Room 2024-01-26T11:00:00 2024-01-26T12:15:00 1368663 The 3rd International Conference on Detector Stability and Aging Phenomena in Gaseous Detectors 2024 2024-01-26 4194 Streaming video Detector Seminar 2024-01-26T11:00:00 <!--HTML--><p>The third International Conference on Detector Stability and Aging Phenomena in Gaseous Detectors, held at CERN from November 6th to 10th, continued the initiative started in 1986 with the first workshop held at LBL (Berkeley) and in 2001 at DESY (Hamburg). The conference offered an occasion for sharing new results, new ideas, new facility requirements, ... <br>The first two editions were mainly focused on ageing phenomena and detector developments.  In addition to the usual topics, this edition reviewed the experience accumulated by all detector technologies operating for more than 15 years at the Large Hadron Collider experiments in the presence of a high radiation background.<br>In addition, nowadays, gaseous detectors for particle physics are entering a phase where operation at current experiments and future facilities will require the capacity to work at unprecedented particle rates, higher rate capability, integrated charge, and improved time resolution. Moreover, new materials are in many cases needed to achieve these new requirements. Finally, the need to replace environmentally unfriendly gases has set an additional challenge to the community. <br>In the seminar, the key points coming out from the conference will be summarised.</p> <p><strong>Coffee will be served at 10:30.</strong></p> CERN 2024 Detector Seminar Event TALK CERN Guida, Roberto speaker CERN https://indico.cern.ch/event/1368663/ Event details MediaArchive /mnt/master_share/master_data/2024/1368663 Absolute master path MediaArchive /2024/1368663/1368663_en.vtt subtitle subtitle English MediaArchive /2024/1368663/1368663_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2024/1368663/1368663-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2024/1368663/1368663-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 342664 MediaArchive https://lecturemedia.cern.ch/2024/1368663/1368663-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1624230 MediaArchive https://lecturemedia.cern.ch/2024/1368663/1368663-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 144520 MediaArchive https://lecturemedia.cern.ch/2024/1368663/1368663-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 869367 MediaArchive https://lecturemedia.cern.ch/2024/1368663/1368663-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 121258 MediaArchive https://lecturemedia.cern.ch/2024/1368663/1368663-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 2960233 MediaArchive https://lecturemedia.cern.ch/2024/1368663/1368663-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 372987 MediaArchive https://lecturemedia.cern.ch/2024/1368663/1368663-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1174573 caroline.cazenoves@cern.ch Guida, Roberto CERN 2024-01-15T10:06:28 2024-01-31T13:56:50 PUBLIC INDICO.1368663 https://videos.cern.ch/legacy/record/2887940 Indico SSW MIGRATED 2887808 SzGeCERN 20240205090119.0 DOI JACOW 10.18429/JACoW-eeFACT2022-MOXAT0104 oai:cds.cern.ch:2887808 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2639615 2024-01-29T09:45:20Z 2024-01-30T05:01:35Z marcxml Inspire 2639615 eng Zimmermann, Frank JACoW-00001653 frank.zimmermann@cern.ch CERN JACOW FCC-ee Feasibility Study Progress 2023 7 p JACOW The Future Circular Collider (FCC) ’’integrated programme’’ consists of a proposed high-luminosity e⁺e⁻ collider, FCC-ee, serving as Higgs and electroweak factory, which would, in a second stage, be succeeded by a 100 TeV hadron collider, FCC-hh. FCC-ee and FCC-hh share the same 91 km tunnel and technical infrastructure. In summer 2021 a detailed FCC Feasibility Study (FCC FC), focused on siting, tunnel construction, environmental impact, financing, operational organisation, etc., was launched by the CERN Council. This FCC Feasibility Study (FCC FS) should provide the necessary input to the next European Strategy Update expected in 2026/27. In this paper we briefly review the FCC key design features, status and plans. This paper is an updated, slightly modified version of an article submitted to the proceedings of NA-PAC’22 (published under the Creative Commons Attribution 3.0 license). Sections on two planned accelerator mock-ups and on regional activities were taken from an article in the ECFA Newsletter. CC-BY-4.0 JACOW https://creativecommons.org/licenses/by/4.0 SzGeCERN Accelerators and Storage Rings author collider author operation author luminosity author electron author booster ARTICLE CERN Benedikt, Michael JACoW-00001655 michael.benedikt@cern.ch CERN 7-13 JACoW eeFACT eeFACT2022 2022 C22-09-12.8 2023 2507599 3931553 http://cds.cern.ch/record/2887808/files/document.pdf Fulltext 13 2887362 7-13 frascati20220912 ARTICLE ConferencePaper 2887072 SzGeCERN 20250829014004.0 oai:cds.cern.ch:2887072 cerncds:FULLTEXT cerncds:CERN:FULLTEXT INIS cerncds:CERN DOI 10.1088/1748-0221/18/12/C12006 Inspire 2736791 CMS-CR-2023-164 eng Damanakis, Konstantinos XX CCID-834915 Vienna, OAW The mass production of silicon sensors for the Phase-2 CMS Outer Tracker 2023 Geneva CERN 19 Sep 2023 10 p The high luminosity upgrade of the Large Hadron Collider (HL-LHC) will create a more challenging and demanding environment for the operation of the CMS detector. The peak instantaneous luminosity of the HL-LHC machine will reach 5 - 7 $\times$ $10^{34}$ $\textrm{cm}^{-2}\textrm{s}^{-1}$, which by the end of its lifetime will have delivered up to 4000 $\textrm{fb}^{-1}$. To cope with these conditions the CMS Tracker will be fully replaced with a more advanced system. The new sub-detector is divided into an Outer Tracker, instrumented by short strips and macro pixels, and a more granular Inner Tracker using pixelated sensors. This report will describe some features of the new Outer Tracker silicon sensors and modules, provide results indicating the quality of the sensors produced to date, as well as the robustness of the sensors against environmental factors such as relative humidity. CERN EDS For annual report SzGeCERN Detectors and Experimental Techniques CMS Tracker INTNOTE CERN PUBLCMS ARTICLE CERN LHC CMS PH CMS Collaboration C12006 JINST 18 2023 2506235 13665368 http://cds.cern.ch/record/2887072/files/CR2023_164.pdf n 20244 2861734 C12006 oslo20230625 PUBLIC INTNOTECMSPUBL ConferencePaper ARTICLE 2886978 SzGeCERN 20250224191432.0 DOI IEEE 10.1109/TASC.2023.3343317 oai:cds.cern.ch:2886978 cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2747482 2024-01-19T09:41:38Z 2024-01-20T05:00:02Z marcxml Inspire 2747482 eng Piccin, R CERN IEEE Environmental Stress Cracking of Thermoplastic Polyimide Insulated Wires 2024 5 p IEEE Polyimide is often the first choice to insulate instrumentation and magnet wires working under demanding environmental and operating conditions since it shows good mechanical properties at low temperatures and high radiation resistance. Nevertheless, we have recently discovered that thermoplastic polyimide (TPI) insulated wires may suffer an accelerated brittle failure from a combination of environmental and mechanical stress, summarized as environmental stress cracking (ESC). Amorphous plastics immersed in an aggressive liquid and under a certain stress level, may develop crazes below the stress that would normally cause crazing in air. Certain alkaline hardeners can be considered aggressive toward polyimide. This study reports the causes and effects of environmental stress cracking of thermoplastic polyimide insulated wires subjected to resin systems commonly used in superconducting magnet technologies, and tentatively identifies those that seem more benign. We suspect that ESC can be behind some of the failures (Paschen breakdown under test voltages or even in operation) seen in some superconducting coils. IEEE 2023 SzGeCERN Accelerators and Storage Rings author Wires author Insulation author Stress author Chemicals author Superconducting magnets author Polyimides author Strain author Cable insulation author epoxy resins author reliability author superconducting magnets ARTICLE CERN Rigaud, J S CERN Santillana, I A CERN Buchanan, K E CERN Ternova, D CERN Mitchell, N Euratom, St. Paul Lez Durance Liao, M Euratom, St. Paul Lez Durance Luongo, C EUROfusion Consortium, Garching 7700405 5 IEEE Trans. Appl. Supercond. 34 2024 13 ARTICLE ConferencePaper 2886038 SzGeCERN 20240130154712.0 DOI American Association for the Advancement of Science 10.1126/science.adh2526 oai:cds.cern.ch:2886038 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2739562 2024-01-09T15:14:42Z 2024-01-10T05:15:59Z marcxml Inspire 2739562 eng He, Xu-Cheng Helsinki U. Carnegie Mellon U. Helsinki Inst. of Phys. Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA 15213, USA. American Association for the Advancement of Science Iodine oxoacids enhance nucleation of sulfuric acid particles in the atmosphere 2023 7 p American Association for the Advancement of Science The main nucleating vapor in the atmosphere is thought to be sulfuric acid (H2SO4), stabilized by ammonia (NH3). However, in marine and polar regions, NH3 is generally low, and H2SO4 is frequently found together with iodine oxoacids [HIOx, i.e., iodic acid (HIO3) and iodous acid (HIO2)]. In experiments performed with the CERN CLOUD (Cosmics Leaving OUtdoor Droplets) chamber, we investigated the interplay of H2SO4 and HIOx during atmospheric particle nucleation. We found that HIOx greatly enhances H2SO4(-NH3) nucleation through two different interactions. First, HIO3 strongly binds with H2SO4 in charged clusters so they drive particle nucleation synergistically. Second, HIO2 substitutes for NH3, forming strongly bound H2SO4-HIO2 acid-base pairs in molecular clusters. Global observations imply that HIOx is enhancing H2SO4(-NH3) nucleation rates 10- to 10,000-fold in marine and polar regions. publication exclusive licensee American Association for the Advancement of Science preprint CC-BY-4.0 preprint The Authors 2023 ARTICLE CERN CLOUD Simon, Mario Frankfurt U., FIAS Frankfurt U. Iyer, Siddharth Tampere U. of Tech. Xie, Hong-Bin Shanghai Jiao Tong U. Rörup, Birte Helsinki U. Shen, Jiali Helsinki U. Finkenzeller, Henning Colorado U. Colorado U., CIRES Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO 80309, USA. Stolzenburg, Dominik Helsinki U. Vienna U. Institute for Materials Chemistry, TU Wien, 1060 Vienna, Austria. Zhang, Rongjie Shanghai Jiao Tong U. Baccarini, Andrea PSI, Villigen Ecole Polytechnique, Lausanne Laboratory of Atmospheric Processes and their Impact, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland. Tham, Yee Jun Helsinki U. Zhongshan U., Zhuhai School of Marine Sciences, Sun Yat-sen University, 519082 Zhuhai, China. Wang, Mingyi Caltech Amanatidis, Stavros Caltech Piedehierro, Ana A Helsinki Inst. of Phys. Amorim, Antonio CMAF, Lisbon Baalbaki, Rima Helsinki U. Brasseur, Zoé Helsinki U. Caudillo, Lucía Frankfurt U., FIAS Frankfurt U. Chu, Biwu Helsinki U. Beijing, Inst. High Energy Phys. Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100084 Beijing, China. Dada, Lubna Helsinki U. PSI, Villigen Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, CH-5232 Villigen, Switzerland. Duplissy, Jonathan Helsinki U. Helsinki Inst. of Phys. Helsinki Institute of Physics, University of Helsinki, 00014 Helsinki, Finland. Haddad, Imad El PSI, Villigen Flagan, Richard C Caltech Granzin, Manuel Frankfurt U., FIAS Frankfurt U. Hansel, Armin Innsbruck U. Heinritzi, Martin Frankfurt U., FIAS Frankfurt U. Hofbauer, Victoria Carnegie Mellon U. Jokinen, Tuija Helsinki U. Cyprus Inst. Climate and Atmosphere Research Centre (CARE-C), The Cyprus Institute, 1645 Nicosia, Cyprus. Kemppainen, Deniz Helsinki U. Kong, Weimeng Caltech Krechmer, Jordan New England Nucl. Kürten, Andreas Frankfurt U., FIAS Frankfurt U. Lamkaddam, Houssni PSI, Villigen Lopez, Brandon Carnegie Mellon U. Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA. Ma, Fangfang Shanghai Jiao Tong U. Mahfouz, Naser G A Carnegie Mellon U. Makhmutov, Vladimir Lebedev Inst. Moscow, MIPT Moscow Institute of Physics and Technology (National Research University),141701 Moscow, Russian Federation. Manninen, Hanna E CERN Marie, Guillaume Frankfurt U., FIAS Frankfurt U. Marten, Ruby PSI, Villigen Massabò, Dario Genoa U. INFN, Genoa Mauldin, Roy L Carnegie Mellon U. Colorado U. Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, CO 80309, USA. Mentler, Bernhard Innsbruck U. Onnela, Antti CERN Petäjä, Tuukka Helsinki U. Pfeifer, Joschka CERN Philippov, Maxim Lebedev Inst. Ranjithkumar, Ananth British Antarctic Survey Rissanen, Matti P Tampere U. of Tech. Helsinki U. Department of Chemistry, University of Helsinki, 00014 Helsinki, Finland. Schobesberger, Siegfried Aalto U. Scholz, Wiebke Innsbruck U. Schulze, Benjamin Caltech Surdu, Mihnea PSI, Villigen Thakur, Roseline C Helsinki U. Tomé, António Beira Interior U., Covilha UBI, Covilha Wagner, Andrea C Frankfurt U., FIAS Frankfurt U. Wang, Dongyu PSI, Villigen Wang, Yonghong Helsinki U. Beijing, Inst. High Energy Phys. Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100084 Beijing, China. Weber, Stefan K CERN Frankfurt U., FIAS Frankfurt U. Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany. Welti, André Helsinki Inst. of Phys. Winkler, Paul M Vienna U. Zauner-Wieczorek, Marcel Frankfurt U., FIAS Frankfurt U. Baltensperger, Urs PSI, Villigen Curtius, Joachim Frankfurt U., FIAS Frankfurt U. Kurtén, Theo Helsinki U. Worsnop, Douglas R Helsinki U. New England Nucl. Aerodyne Research, Inc., Billerica, MA 01821, USA. Volkamer, Rainer Colorado U. Colorado U., CIRES Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO 80309, USA. Lehtipalo, Katrianne Helsinki U. Helsinki Inst. of Phys. Finnish Meteorological Institute, 00560 Helsinki, Finland. Kirkby, Jasper CERN Frankfurt U., FIAS Frankfurt U. Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany. Donahue, Neil M Carnegie Mellon U. Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA. Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA 15213, USA. Sipilä, Mikko Helsinki U. Kulmala, Markku Helsinki U. Helsinki Inst. of Phys. Nanjing U. (main) Beijing U. of Chem. Tech. Helsinki Institute of Physics, University of Helsinki, 00014 Helsinki, Finland. Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, 100029 Beijing, China. adh2526 6676 Science 382 2023 2504113 10215290 http://cds.cern.ch/record/2886038/files/IodineSulfur_manuscript_CCBY.pdf Manuscript 2504113 12734 http://cds.cern.ch/record/2886038/files/IodineSulfur_manuscript_CCBY.gif?subformat=icon icon Manuscript 2504113 18802 http://cds.cern.ch/record/2886038/files/IodineSulfur_manuscript_CCBY.jpg?subformat=icon-180 icon-180 Manuscript 2504113 188714 http://cds.cern.ch/record/2886038/files/IodineSulfur_manuscript_CCBY.jpg?subformat=icon-1440 icon-1440 Manuscript 2504113 188714 http://cds.cern.ch/record/2886038/files/IodineSulfur_manuscript_CCBY.jpg?subformat=icon-640 icon-640 Manuscript 2504113 188714 http://cds.cern.ch/record/2886038/files/IodineSulfur_manuscript_CCBY.jpg?subformat=icon-700 icon-700 Manuscript 13 ARTICLE 2889100 20260225044625.0 DOI arXiv 10.1140/epjqt/s40507-024-00220-6 publication oai:cds.cern.ch:2889100 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2402.04637 oai:inspirehep.net:2756315 https://inspirehep.net/api/oai2d Inspire 2026-02-24T21:05:14Z 2026-02-25T03:11:53Z marcxml true Inspire 2756315 arXiv arXiv:2402.04637 quant-ph eng Volponi, M. marco.volponi@cern.ch GRID:grid.9132.9 GRID:grid.11696.39 ROR:https://ror.org/01ggx4157 CERN Trento U. INFN, Trento Physics Department, CERN, 23, 1211 Geneva, Switzerland TIFPA/INFN Trento, via Sommarive 14, 38123 Trento, Povo, Italy Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy Springer CIRCUS: an autonomous control system for antimatter, atomic and quantum physics experiments 2024-02-15 2024-02-07 35 p Springer A powerful and robust control system is a crucial, often neglected, pillar of any modern, complex physics experiment that requires the management of a multitude of different devices and their precise time synchronisation. The AEḡIS collaboration presents CIRCUS, a novel, autonomous control system optimised for time-critical experiments such as those at CERN’s Antiproton Decelerator and, more broadly, in atomic and quantum physics research. Its setup is based on Sinara/ARTIQ and TALOS, integrating the ALPACA analysis pipeline, the last two developed entirely in AEḡIS. It is suitable for strict synchronicity requirements and repeatable, automated operation of experiments, culminating in autonomous parameter optimisation via feedback from real-time data analysis. CIRCUS has been successfully deployed and tested in AEḡIS; being experiment-agnostic and released open-source, other experiments can leverage its capabilities. arXiv A powerful and robust control system is a crucial, often neglected, pillar of any modern, complex physics experiment that requires the management of a multitude of different devices and their precise time synchronisation. The AEgIS collaboration presents CIRCUS, a novel, autonomous control system optimised for time-critical experiments such as those at CERN's Antiproton Decelerator and, more broadly, in atomic and quantum physics research. Its setup is based on Sinara/ARTIQ and TALOS, integrating the ALPACA analysis pipeline, the last two developed entirely in AEgIS. It is suitable for strict synchronicity requirements and repeatable, automated operation of experiments, culminating in autonomous parameter optimisation via feedback from real-time data analysis. CIRCUS has been successfully deployed and tested in AEgIS; being experiment-agnostic and released open-source, other experiments can leverage its capabilities. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication CC-BY-4.0 Springer CERN-APC DAI/10451621 http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2024 arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques arXiv physics.atom-ph SzGeCERN Other Fields of Physics arXiv gr-qc SzGeCERN General Relativity and Cosmology arXiv quant-ph SzGeCERN General Theoretical Physics CERN ARTICLE CERN AEgIS Huck, S. saiva.huck@cern.ch GRID:grid.9132.9 GRID:grid.9026.d ROR:https://ror.org/01ggx4157 ROR:https://ror.org/00g30e956 CERN Hamburg U. Physics Department, CERN, 23, 1211 Geneva, Switzerland Institute for Experimental Physics, Universität Hamburg, 22607 Hamburg, Germany Caravita, R. GRID:grid.11696.39 INFN, Trento Trento U. Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy TIFPA/INFN Trento, via Sommarive 14, 38123 Trento, Povo, Italy Zielinski, J. GRID:grid.1035.7 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland Kornakov, G. GRID:grid.1035.7 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland Kasprowicz, G. GRID:grid.1035.7 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland Nowicka, D. GRID:grid.1035.7 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland Rauschendorfer, T. GRID:grid.9132.9 GRID:grid.9647.c ROR:https://ror.org/01ggx4157 ROR:https://ror.org/03s7gtk40 CERN Leipzig U. Physics Department, CERN, 23, 1211 Geneva, Switzerland Felix Bloch Institute for Solid State Physics, Universität Leipzig, 04103 Leipzig, Germany Rienäcker, B. GRID:grid.10025.36 GRID:grid.450757.4 ROR:https://ror.org/02a5smf05 ROR:https://ror.org/04xs57h96 Cockcroft Inst. Accel. Sci. Tech. Liverpool U. University of Liverpool, Liverpool, UK The Cockcroft Institute, Daresbury, UK Prelz, F. GRID:grid.470206.7 ROR:https://ror.org/04w4m6z96 INFN, Milan INFN Milano, via Celoria 16, 20133 Milano, Italy Auzins, M. GRID:grid.9845.0 ROR:https://ror.org/05g3mes96 Latvia U. Department of Physics, University of Latvia, Raina boulevard 19, LV-1586 Riga, Latvia Bergmann, B. GRID:grid.6652.7 ROR:https://ror.org/03kqpb082 Prague, Tech. U. Institute of Experimental and Applied Physics, Czech Technical University in Prague, Husova 240/5, 110 00 Prague, Prague 1, Czech Republic Burian, P. GRID:grid.6652.7 ROR:https://ror.org/03kqpb082 Prague, Tech. U. Institute of Experimental and Applied Physics, Czech Technical University in Prague, Husova 240/5, 110 00 Prague, Prague 1, Czech Republic Brusa, R.S. GRID:grid.11696.39 INFN, Trento Trento U. Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy TIFPA/INFN Trento, via Sommarive 14, 38123 Trento, Povo, Italy Camper, A. GRID:grid.5510.1 ROR:https://ror.org/01xtthb56 Oslo U. Department of Physics, University of Oslo, Sem Sælandsvei 24, 0371 Oslo, Norway Castelli, F. GRID:grid.470206.7 GRID:grid.4708.b ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/00wjc7c48 INFN, Milan Milan U. INFN Milano, via Celoria 16, 20133 Milano, Italy Department of Physics “Aldo Pontremoli”, University of Milano, via Celoria 16, 20133 Milano, Italy Ciuryło, R. GRID:grid.5374.5 Torun, Copernicus Astron. Ctr. Institute of Physics, Faculty of Physics, Astronomy, and Informatics, Nicolaus Copernicus University in Toruń, Grudziadzka 5, 87-100 Toruń, Poland Consolati, G. GRID:grid.470206.7 GRID:grid.4643.5 ROR:https://ror.org/04w4m6z96 INFN, Milan Milan Polytechnic INFN Milano, via Celoria 16, 20133 Milano, Italy Department of Aerospace Science and Technology, Politecnico di Milano, via La Masa 34, 20156 Milano, Italy Doser, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Physics Department, CERN, 23, 1211 Geneva, Switzerland Glöggler, L.T. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Physics Department, CERN, 23, 1211 Geneva, Switzerland Graczykowski, Ł. GRID:grid.1035.7 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland Grosbart, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Physics Department, CERN, 23, 1211 Geneva, Switzerland Guatieri, F. GRID:grid.11696.39 INFN, Trento Trento U. Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy TIFPA/INFN Trento, via Sommarive 14, 38123 Trento, Povo, Italy Gusakova, N. GRID:grid.9132.9 GRID:grid.5947.f ROR:https://ror.org/01ggx4157 ROR:https://ror.org/05xg72x27 CERN Norwegian U. Sci. Tech. Physics Department, CERN, 23, 1211 Geneva, Switzerland Department of Physics, NTNU, Norwegian University of Science and Technology, Trondheim, Norway Gustafsson, F. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Physics Department, CERN, 23, 1211 Geneva, Switzerland Haider, S. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Physics Department, CERN, 23, 1211 Geneva, Switzerland Janik, M. GRID:grid.1035.7 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland Khatri, G. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Physics Department, CERN, 23, 1211 Geneva, Switzerland Kłosowski, Ł. GRID:grid.5374.5 Torun, Copernicus Astron. Ctr. Institute of Physics, Faculty of Physics, Astronomy, and Informatics, Nicolaus Copernicus University in Toruń, Grudziadzka 5, 87-100 Toruń, Poland Krumins, V. GRID:grid.9132.9 GRID:grid.9845.0 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/05g3mes96 CERN Latvia U. Physics Department, CERN, 23, 1211 Geneva, Switzerland Department of Physics, University of Latvia, Raina boulevard 19, LV-1586 Riga, Latvia Lappo, L. GRID:grid.1035.7 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland Linek, A. GRID:grid.5374.5 Torun, Copernicus Astron. Ctr. Institute of Physics, Faculty of Physics, Astronomy, and Informatics, Nicolaus Copernicus University in Toruń, Grudziadzka 5, 87-100 Toruń, Poland Malamant, J. GRID:grid.9132.9 GRID:grid.5510.1 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/01xtthb56 CERN Oslo U. Physics Department, CERN, 23, 1211 Geneva, Switzerland Department of Physics, University of Oslo, Sem Sælandsvei 24, 0371 Oslo, Norway Mariazzi, S. GRID:grid.11696.39 Trento U. INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Trento, Povo, Italy Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy Penasa, L. GRID:grid.11696.39 INFN, Trento Trento U. Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy TIFPA/INFN Trento, via Sommarive 14, 38123 Trento, Povo, Italy Petracek, V. GRID:grid.6652.7 ROR:https://ror.org/03kqpb082 Prague, Tech. U. Czech Technical University, Prague, Brehová 7, 11519 Prague, Prague 1, Czech Republic Piwiński, M. GRID:grid.5374.5 Torun, Copernicus Astron. Ctr. Institute of Physics, Faculty of Physics, Astronomy, and Informatics, Nicolaus Copernicus University in Toruń, Grudziadzka 5, 87-100 Toruń, Poland Pospisil, S. GRID:grid.6652.7 ROR:https://ror.org/03kqpb082 Prague, Tech. U. Institute of Experimental and Applied Physics, Czech Technical University in Prague, Husova 240/5, 110 00 Prague, Prague 1, Czech Republic Povolo, L. GRID:grid.11696.39 Trento U. INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Trento, Povo, Italy Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy Rangwala, S. GRID:grid.250595.e ROR:https://ror.org/01qdav448 Raman Research Inst., Bangalore Raman Research Institute, C. V. Raman Avenue, 560080 Sadashivanagar, Bangalore, India Rawat, B.S. GRID:grid.10025.36 GRID:grid.450757.4 ROR:https://ror.org/02a5smf05 ROR:https://ror.org/04xs57h96 Cockcroft Inst. Accel. Sci. Tech. Liverpool U. University of Liverpool, Liverpool, UK The Cockcroft Institute, Daresbury, UK Rodin, V. GRID:grid.10025.36 GRID:grid.450757.4 ROR:https://ror.org/02a5smf05 ROR:https://ror.org/04xs57h96 Cockcroft Inst. Accel. Sci. Tech. Liverpool U. University of Liverpool, Liverpool, UK The Cockcroft Institute, Daresbury, UK Røhne, O.M. GRID:grid.5510.1 ROR:https://ror.org/01xtthb56 Oslo U. Department of Physics, University of Oslo, Sem Sælandsvei 24, 0371 Oslo, Norway Sandaker, H. GRID:grid.5510.1 ROR:https://ror.org/01xtthb56 Oslo U. Department of Physics, University of Oslo, Sem Sælandsvei 24, 0371 Oslo, Norway Smolyanskiy, P. GRID:grid.6652.7 ROR:https://ror.org/03kqpb082 Prague, Tech. U. Institute of Experimental and Applied Physics, Czech Technical University in Prague, Husova 240/5, 110 00 Prague, Prague 1, Czech Republic Sowiński, T. GRID:grid.413454.3 Warsaw, Inst. Phys. Institute of Physics, Polish Academy of Sciences, Aleja Lotnikow 32/46, PL-02668 Warsaw, Poland Tefelski, D. GRID:grid.1035.7 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland Vafeiadis, T. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Physics Department, CERN, 23, 1211 Geneva, Switzerland Welsch, C.P. GRID:grid.10025.36 GRID:grid.450757.4 ROR:https://ror.org/02a5smf05 ROR:https://ror.org/04xs57h96 Cockcroft Inst. Accel. Sci. Tech. Liverpool U. University of Liverpool, Liverpool, UK The Cockcroft Institute, Daresbury, UK Wolz, T. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Physics Department, CERN, 23, 1211 Geneva, Switzerland Zawada, M. GRID:grid.5374.5 Torun, Copernicus Astron. Ctr. Institute of Physics, Faculty of Physics, Astronomy, and Informatics, Nicolaus Copernicus University in Toruń, Grudziadzka 5, 87-100 Toruń, Poland Zurlo, N. GRID:grid.7637.5 ROR:https://ror.org/01st30669 INFN, Pavia Brescia U. INFN Pavia, via Bassi 6, 27100 Pavia, Italy Department of Civil, Environmental, Architectural Engineering and Mathematics, University of Brescia, via Branze 43, 25123 Brescia, Italy AEgIS Collaboration 10 1 EPJ Quant. Technol. 11 2024 2510754 3107520 http://cds.cern.ch/record/2889100/files/Fig._7.png 00005 Schematic of the data flow in \Aegis. All devices (computers, VME and real-time) are connected to a common LAN subnet and send data to the DAQ PC as GXML Data Objects over TCP or SCP (Secure Copy Protocol). The DAQ computer permanently stores the data on hard-drives as JSON files and ROOTuples. A further backup copy of the data is generated on EOS~\cite{EOS_Peters_2011} at CERN. The data can be accessed from outside CERN from EOS or directly from the DAQ computer via a dedicated gateway. 2510755 278016 http://cds.cern.ch/record/2889100/files/Fig._6.png 00004 A view of the CIRCUS control system running a schedule of experiments with antiprotons. This main window is provided by TALOS. On the top right the \emph{Guardians} and $\mu$Services watchdogs are visible, while on the top left the error list is present. On the right column there are, on top, the details of the error selected, and below, the live log of the operations of Kasli. This frame is common and identical on all the machines of the experiment. In the main window the Tamer $\mu$Service is displayed, which is currently monitoring one schedule of measurements running. : Structure of the \Aegis data atom, representing {\it all} DAQ data objects. 2510756 330581 http://cds.cern.ch/record/2889100/files/Fig._5.png 00003 Schematic of the ARTIQ/Python library structure of CIRCUS, as used in \Aegis. Each library defines a class, which all the experimental scripts of \Aegis inherit from. Most of the functions defined in the top-level libraries (\emph{TCP}, \emph{Build \& Init}, \emph{Utility} and \emph{Analysis} libraries) are generic and could be utilised by other experiments as well. 2510757 65551 http://cds.cern.ch/record/2889100/files/Fig._3.png 00002 Schematic of the CIRCUS control system and its constituent parts (ARTIQ/Sinara and TALOS), together with its relationship with other software and hardware subsystems. 2510758 43921 http://cds.cern.ch/record/2889100/files/Fig._2.png 00001 Synchronous voltage ramp-up to \SI{20}{\volt} on three high-voltage amplifier channels \SI{10}{\us} subsequent to the arrival of a common trigger pulse at zero time in the figure. The inset shows a zoom to the shoulder region for a better visualisation of the synchronicity. 2510759 4615403 http://cds.cern.ch/record/2889100/files/Fig._1.png 00000 Photograph of one of three fully equipped Sinara electronics crates of the \Aegis trap control system, including (from left to right) power module, Kasli carrier, digital I/O units, Fastino DAC, and four high-voltage amplifier boards. 2510760 51129 http://cds.cern.ch/record/2889100/files/Fig._A1b.png 00010 Difference between the desired voltage on the amplifier channels and the measured output voltage versus the expected voltage before (top) and after (bottom) the amplifier calibration for all eight amplifier channels of one example board. The legend shown in the right plot is valid for both and identifies the channel numbers of the given board. 2510761 62336 http://cds.cern.ch/record/2889100/files/Fig._A1a.png 00009 Difference between the desired voltage on the amplifier channels and the measured output voltage versus the expected voltage before (top) and after (bottom) the amplifier calibration for all eight amplifier channels of one example board. The legend shown in the right plot is valid for both and identifies the channel numbers of the given board. 2510762 194828 http://cds.cern.ch/record/2889100/files/Fig._9.png 00006 Representation of the architecture of the ALPACA analysis framework, including the stepwise processing of the data as well as the local or server based deployment. 2510763 18974 http://cds.cern.ch/record/2889100/files/Fig._11.png 00008 Scintillator counts of the annihilation of antiprotons inside the Penning trap. The two deltoid-like structures at \SI{\sim10}{\s} and \SI{\sim25}{\s} are emissions from the accelerators in the AD complex and are present independently of the ongoing trapping. 2510764 22562 http://cds.cern.ch/record/2889100/files/Fig._10.png 00007 A feedback loop uses the uncorrected laser pulse timings (red squares) to calculate the deviation from the user setting (solid black line) over the course of an hour, and corrects the timing of the subsequent desired laser pulse that is used for the actual experiment (blue circles). Independent of short-term to long-term drifts or even sudden jumps, the resulting timing is always close to the desired value. 2510765 6395086 http://cds.cern.ch/record/2889100/files/2402.04637.pdf Fulltext 2512508 3080653 http://cds.cern.ch/record/2889100/files/document.pdf Fulltext 13 ARTICLE 2888528 SzGeCERN 20240909164049.0 DOI Elsevier Ltd 10.1016/j.radmeas.2024.107065 publication oai:cds.cern.ch:2888528 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2753000 2024-02-06T10:21:27Z 2024-02-07T05:00:04Z marcxml Inspire 2753000 eng Heracleous, N CERN Elsevier Ltd Long-term field studies of a distributed network of sensors for environmental radiological monitoring 2024 10 p Elsevier Ltd The W-MON project goal is to establish an automatic control mechanism of the presence of radioactive material in conventional waste containers at CERN using a distributed network of interconnected low-power radiation sensors. This network facilitates continuous data recording, transfer and storage in a database while allowing online and offline data analysis, in addition to alarm triggering. Data transmission, processing and evaluation is achieved by a centralized IoT end-to-end data architecture that has been developed for real-time monitoring and visualization of the radiation levels in waste containers. In this paper the results of field tests of the W-MON system described in two previous papers are presented for three different types of sensors. Estimation of failure detection probability, long-term stability tests and sensitivity studies carried out using radioactive samples of various activities placed in standard waste containers are described. A comparison between the manual monitoring procedure currently used at CERN and the W-MON system is discussed in detail. •W-MON system is a network of low-power radiation sensors.•Automatic control of radioactive material in waste containers at CERN.•Centralized IoT architecture enables continuous data transmission.•Real-time monitoring and visualization of radiation levels.•Long-term stability tests using radioactive samples in standard containers.•W-MON system can efficiently replace existing manual monitoring procedures. publication CC BY 4.0 CERN-RP: Elsevier http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2024 Elsevier Ltd Radiation Elsevier Ltd Environmental monitoring Elsevier Ltd Radioactive waste monitoring Elsevier Ltd Data analysis Elsevier Ltd LoRa Elsevier Ltd Internet of Things ARTICLE CERN Bauer, K CERN Manzano, L Gallego CERN Lausanne U. Institute of Radiation Physics, Lausanne University Hospital, 1007 Lausanne, Switzerland Murtas, F Frascati Silari, M CERN Svihrova, L CERN Prague, Tech. U. Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University, Prague 115 19, Czech Republic 107065 publication Radiat. Meas. 171 2024 2509779 2477821 http://cds.cern.ch/record/2888528/files/Publication.pdf Fulltext 13 ARTICLE 2892786 SzGeCERN 20240326014623.0 oai:cds.cern.ch:2892786 cerncds:CONF cerncds:TALK CONFERENCE ANNOUNCEMENT 41 ANNOUNCEMENT https://indico.cern.ch/event/1237829/ Conference home page 2023 20231106 3rd International Conference on Detector Stability and Aging Phenomena in Gaseous Detectors CERN, Geneva, Switzerland 6 - 10 Nov 2023 2023 cern20231106 3 CH 20231110 Gaseous detectors for particle physics are entering a phase where operation at current experiments and future facilities will require the capacity to work at unprecedent particle rate, higher rate capability, integrated charge and improved time resolution. In addition, new materials are in many cases needed to achieve these new requirements. Finally, the need to replace environmentally unfriendly gases has set an additional challenge to the community. The third International Conference on Detector Stability and Aging Phenomena in Gaseous Detectors aims in offering an occasion for sharing new results, new ideas, new facility requirements, ... The conference will be held at CERN in the main Auditorium from November 6th to 10th, 2023. The conference will continue the initiative started in 1986 with the first workshop held at LBL (Berkeley) and in 2001 at DESY (Hamburg). SzGeCERN Detectors and Experimental Techniques SzGeCERN Conference h 202413 eng INSPIRE-CNUM C23-11-06.1 2892563 20240327112223.0 oai:cds.cern.ch:2892563 cerncds:FULLTEXT CERN-PHOTO-202403-066 AUTHOR|(CDS)2836746 AUTHOR|(SzGeCERN)863707 Cavazza, Marina marina.cavazza@cern.ch Framework Collaboration Agreement between CERN and The Science and Technology Facilities Council (STFC UKRI) 2024 Geneva CERN 2024-03-22 General Photo public CERN and the Science and Technology Facility Council (STFC) have signed a new agreement to support the development of more sustainable particle accelerators. CERN Director General, Professor Fabiola Gianotti and STFC Executive Chair, Professor Mark Thomson committed today to collaborate on the research and development of advanced new technologies. The technologies will make future particle accelerators significantly more sustainable. The agreement includes the proposed establishment by STFC of a new UK-based laboratory to host and support research and development in key technologies that will reduce the environmental impact of accelerators. CERN 2024 CERN EDS PHOTOLAB SzGeCERN History of CERN SzGeCERN Photolab CERN PHOTO CERN News https://home.cern/news/news/knowledge-sharing/cern-and-stfc-support-environmentally-sustainable-physics 2519920 33259129 http://cds.cern.ch/record/2892563/files/202402-066_048.jpg 2519921 33148448 http://cds.cern.ch/record/2892563/files/202402-066_050.jpg 2519922 33735540 http://cds.cern.ch/record/2892563/files/202402-066_053.jpg 2519923 33028123 http://cds.cern.ch/record/2892563/files/202402-066_057.jpg 2519924 21816383 http://cds.cern.ch/record/2892563/files/202402-066_079.jpg 2519925 27203447 http://cds.cern.ch/record/2892563/files/202402-066_080.jpg 2519926 34795103 http://cds.cern.ch/record/2892563/files/202402-066_093.jpg 2519927 35054509 http://cds.cern.ch/record/2892563/files/202402-066_097.jpg 2519928 38331675 http://cds.cern.ch/record/2892563/files/202402-066_102.jpg 2519920 250953 http://cds.cern.ch/record/2892563/files/202402-066_048.jpg?subformat=icon-640 icon-640 2519920 812852 http://cds.cern.ch/record/2892563/files/202402-066_048.jpg?subformat=icon-1440 icon-1440 2519920 94095 http://cds.cern.ch/record/2892563/files/202402-066_048.jpg?subformat=icon-180 icon-180 2519921 249919 http://cds.cern.ch/record/2892563/files/202402-066_050.jpg?subformat=icon-640 icon-640 2519921 813184 http://cds.cern.ch/record/2892563/files/202402-066_050.jpg?subformat=icon-1440 icon-1440 2519921 94043 http://cds.cern.ch/record/2892563/files/202402-066_050.jpg?subformat=icon-180 icon-180 2519922 251045 http://cds.cern.ch/record/2892563/files/202402-066_053.jpg?subformat=icon-640 icon-640 2519922 813602 http://cds.cern.ch/record/2892563/files/202402-066_053.jpg?subformat=icon-1440 icon-1440 2519922 94307 http://cds.cern.ch/record/2892563/files/202402-066_053.jpg?subformat=icon-180 icon-180 2519923 236444 http://cds.cern.ch/record/2892563/files/202402-066_057.jpg?subformat=icon-640 icon-640 2519923 746240 http://cds.cern.ch/record/2892563/files/202402-066_057.jpg?subformat=icon-1440 icon-1440 2519923 92335 http://cds.cern.ch/record/2892563/files/202402-066_057.jpg?subformat=icon-180 icon-180 2519924 1307478 http://cds.cern.ch/record/2892563/files/202402-066_079.jpg?subformat=icon-1440 icon-1440 2519924 327647 http://cds.cern.ch/record/2892563/files/202402-066_079.jpg?subformat=icon-640 icon-640 2519924 98437 http://cds.cern.ch/record/2892563/files/202402-066_079.jpg?subformat=icon-180 icon-180 2519925 236889 http://cds.cern.ch/record/2892563/files/202402-066_080.jpg?subformat=icon-640 icon-640 2519925 851789 http://cds.cern.ch/record/2892563/files/202402-066_080.jpg?subformat=icon-1440 icon-1440 2519925 89837 http://cds.cern.ch/record/2892563/files/202402-066_080.jpg?subformat=icon-180 icon-180 2519926 240852 http://cds.cern.ch/record/2892563/files/202402-066_093.jpg?subformat=icon-640 icon-640 2519926 824153 http://cds.cern.ch/record/2892563/files/202402-066_093.jpg?subformat=icon-1440 icon-1440 2519926 90887 http://cds.cern.ch/record/2892563/files/202402-066_093.jpg?subformat=icon-180 icon-180 2519927 245131 http://cds.cern.ch/record/2892563/files/202402-066_097.jpg?subformat=icon-640 icon-640 2519927 820320 http://cds.cern.ch/record/2892563/files/202402-066_097.jpg?subformat=icon-1440 icon-1440 2519927 93323 http://cds.cern.ch/record/2892563/files/202402-066_097.jpg?subformat=icon-180 icon-180 2519928 268540 http://cds.cern.ch/record/2892563/files/202402-066_102.jpg?subformat=icon-640 icon-640 2519928 89894 http://cds.cern.ch/record/2892563/files/202402-066_102.jpg?subformat=icon-180 icon-180 2519928 945135 http://cds.cern.ch/record/2892563/files/202402-066_102.jpg?subformat=icon-1440 icon-1440 marina.cavazza@cern.ch Roberto.Losito@cern.ch n 202412 CERN Roberto Losito <Roberto.Losito@cern.ch> 86 PUBLIC VISIBLE PHOTOLABCERN 2892263 SzGeCERN 20250224191434.0 DOI IEEE 10.1109/TASC.2023.3349363 oai:cds.cern.ch:2892263 cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2766486 2024-03-19T16:25:29Z 2024-03-20T05:00:21Z marcxml Inspire 2766486 eng Suzuki, K ORCID:0000-0002-4869-9338 KEK, Tsukuba IEEE Test Results of the First Series Magnet of Beam Separation Dipole for the HL-LHC Upgrade 2024 5 p IEEE We report the test results of the first series beam separation dipole, MBXF1, for the HL-LHC project. The magnet has a full length of 7 m and is designed to generate a field integral of 35 T $\cdot$m at a nominal operating current ($I_\text{nominal}$) of 12.11 kA. The cold test is performed at the test facility in High Energy Accelerator Research Organization (KEK) using a 9-m deep vertical cryostat. The test consists of two test cycles with one thermal cycle. In each of the test cycles MBXF1 is energized in superfluid helium at 1.9 K and subjected to a series of quench training and magnetic field evaluation. The test shows that the magnet has a good training performance as it reaches $I_\text{nominal}$with two quenches and an ultimate operating current ($I_\text{ultimate}$) of 13.231 kA with seven quenches. Furthermore we observe no quench during the training of the second test cycle, indicating MBXF1 has a good training memory. Magnetic measurements of MBXF1 show that the discrepancy between the measured and computed harmonics at the magnetic center is 3.9 units for normal sextupole and less than 0.5 units for the other allowed-normal multipoles. Finally sextupole integral ($\bar{b}_{3}$) and decapole integral ($\bar{b}_{5}$), which are major systematic field errors in MBXF, respectively are estimated to be 2.0 units and 1.7 units for an actual environmental condition with ferromagnetic materials in the LHC accelerator tunnel. IEEE 2024 SzGeCERN Accelerators and Storage Rings author Superconducting magnets author Training author Magnetic separation author Antennas author Varistors author Magnetomechanical effects author Magnetic tunneling author Magnetic Field author Training Performance author Magnetic Measurements author Testing Facilities author Trained Field author Multipole author Good Training author Magnetic Exchange author Good Memory author Gas Volume author Helium Gas author Mouse Hepatitis Virus author Voltage Polarity author Longitudinal Position author Coil Size author Magnetic Design author HL-LHC author MBXF author Nb-Ti accelerator magnet author training ARTICLE CERN CERN HL-LHC CERN LHC Ikemoto, Y KEK, Tsukuba Kawamata, H KEK, Tsukuba Kimura, N ORCID:0009-0007-5090-1535 KEK, Tsukuba Tokyo U., ICRR KAGRA Observatory, Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Hida, Japan Nakamoto, T ORCID:0000-0002-0088-4040 KEK, Tsukuba Ogitsu, T ORCID:0000-0003-0599-1205 KEK, Tsukuba Okada, N KEK, Tsukuba Okada, R KEK, Tsukuba Sugano, M ORCID:0000-0001-5168-3276 KEK, Tsukuba Tanaka, K KEK, Tsukuba Takahashi, N KEK, Tsukuba Perez, J C ORCID:0000-0002-8001-3770 CERN Todesco, E ORCID:0000-0001-5518-4191 CERN 4001805 5 IEEE Trans. Appl. Supercond. 34 2024 13 ARTICLE ConferencePaper 2892175 20251201182457.0 oai:cds.cern.ch:2892175 cerncds:TALK eng Indico 6798 CERN. Geneva CS3 2024 - Cloud Storage Synchronization and Sharing CERN - 503/1-001 - Council Chamber 2024-03-13T14:45:00 2024-03-13T15:00:00 1332413c167 Leaf.cloud 2024 2024-03-13 1042 Streaming video HEP Computing CS3 2024 - Cloud Storage Synchronization and Sharing 2024-03-13T14:45:00 <!--HTML-->The presentation focuses on the environmental impact of the technology industry, challenging the assumption that it is inherently eco-friendly. It highlights the significant carbon emissions from the tech sector, projected to triple by 2040 without intervention by the growth of AI. The content then shifts to the positive impacts of technology in various sectors like healthcare, education, and business. The main question posed is how to reduce the carbon footprint of digital technology without hindering its progressive capabilities. Solutions proposed include sustainable design, green engineering, and sustainable operations. Additionally, the presentation introduces an alternative, sustainable cloud solution that utilizes residual heat from servers for building heating locally, putting servers where the heat is used instead, this cuts costs per watt of installed IT by 5 to 10 times and saves the environment at the same. Offering an innovative approach to greenify the digital industry by offsetting natural gas use with server waste heat. CERN 2024 HEP Computing Event TALK CERN Kohnstamm, David speaker The Good Cloud https://indico.cern.ch/event/1332413/contributions/5773203/ Talk details https://indico.cern.ch/event/1332413/ Event details MediaArchive /mnt/master_share/master_data/2024/1332413c167 Absolute master path MediaArchive /2024/1332413c167/1332413c167_en.vtt subtitle subtitle English MediaArchive /2024/1332413c167/1332413c167_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2024/1332413c167/1332413c167-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2024/1332413c167/1332413c167-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 194113 MediaArchive https://lecturemedia.cern.ch/2024/1332413c167/1332413c167-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 867050 MediaArchive https://lecturemedia.cern.ch/2024/1332413c167/1332413c167-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 85010 MediaArchive https://lecturemedia.cern.ch/2024/1332413c167/1332413c167-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 481083 MediaArchive https://lecturemedia.cern.ch/2024/1332413c167/1332413c167-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3831405 MediaArchive https://lecturemedia.cern.ch/2024/1332413c167/1332413c167-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1142438 MediaArchive https://lecturemedia.cern.ch/2024/1332413c167/1332413c167-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 553172 MediaArchive https://lecturemedia.cern.ch/2024/1332413c167/1332413c167-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 198449 jakub.moscicki@cern.ch Moscicki, Jakub CERN Lamanna, Massimo CERN 2023-10-02T11:26:43 2024-03-19T16:28:00 PUBLIC INDICO.1332413c167 https://videos.cern.ch/legacy/record/2892175 Indico CMTE MIGRATED 2891797 20250830043109.0 oai:cds.cern.ch:2891797 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI Elsevier B.V. 10.1016/j.nima.2024.169747 publication arXiv oai:arXiv.org:2402.19395 oai:inspirehep.net:2763332 https://inspirehep.net/api/oai2d Inspire 2025-08-29T18:26:02Z 2025-08-30T02:00:05Z marcxml true Inspire 2763332 arXiv arXiv:2402.19395 physics.ins-det eng Quaglia, L. lquaglia@to.infn.it luca.quaglia@cern.ch ROR:https://ror.org/01vj6ck58 INFN, Turin INFN Sezione di Torino, Via P. Giuria 1, Torino, 10125, Italy Elsevier B.V. Exploring Eco-Friendly Gas Mixtures for Resistive Plate Chambers: A Comprehensive Study on Performance and Aging 2024-08-22 2024-02-29 5 p Elsevier B.V. Resistive Plate Chambers (RPCs) are gaseous detectors widely used in high energy physics experiments, operating with a gas mixture primarily containing Tetrafluoroethane (C2H2F4), commonly known as R-134a, which has a global warming potential (GWP) of 1430. To comply with European regulations, the RPC EcoGas@GIF++ collaboration, involving ALICE, ATLAS, CMS, LHCb/SHiP, and EP-DT communities, has undertaken intensive R&D efforts to explore new environmentally friendly alternative gas mixtures for RPC technology. A leading alternative under investigation is HFO1234ze, boasting a low GWP of 6 and demonstrating reasonable performance compared to R-134a. Over the past few years, RPC detectors with slightly different characteristics and electronics have been studied using HFO and CO2-based gas mixtures at the CERN Gamma Irradiation Facility. An aging test campaign was launched in August 2022, and during the latest test beam in July 2023, all detector systems underwent evaluation. This contribution will report the results of the aging studies and the performance evaluations of the detectors with and without irradiation. arXiv Resistive Plate Chambers (RPCs) are gaseous detectors widely used in high energy physics experiments, operating with a gas mixture primarily containing Tetrafluoroethane (C$_{2}$H$_{2}$F$_{4}$), commonly known as R-134a, which has a global warming potential (GWP) of 1430. To comply with European regulations and explore environmentally friendly alternatives, the RPC EcoGas@GIF++ collaboration, involving ALICE, ATLAS, CMS, LHCb/SHiP, and EP-DT communities, has undertaken intensive R&D efforts to explore new gas mixtures for RPC technology. A leading alternative under investigation is HFO1234ze, boasting a low GWP of 6 and demonstrating reasonable performance compared to R-134a. Over the past few years, RPC detectors with slightly different characteristics and electronics have been studied using HFO and CO$_{2}$-based gas mixtures at the CERN Gamma Irradiation Facility. An aging test campaign was launched in August 2022, and during the latest test beam in July 2023, all detector systems underwent evaluation. This contribution will report the results of the aging studies and the performance evaluations of the detectors with and without irradiation. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2024 HAL L 2024-03-07 abs L 2024-03-11 printed arXiv hep-ex SzGeCERN Particle Physics - Experiment arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques CERN ARTICLE Abbrescia, M. ROR:https://ror.org/027ynra39 ROR:https://ror.org/022hq6c49 Bari U. INFN, Bari Università degli studi di Bari, Dipartimento Interateneo di Fisica, Via Amendola 173, Bari, 70125, Italy INFN Sezione di Bari, Via E. Orabona 4, Bari, 70125, Italy Aielli, G. ROR:https://ror.org/02p77k626 Rome U., Tor Vergata Università degli studi di Roma Tor Vergata, Dipartimento di Fisica, Via della Ricerca Scientifica 1, Roma, 00133, Italy Aly, R. ROR:https://ror.org/022hq6c49 INFN, Bari Helwan U. INFN Sezione di Bari, Via E. Orabona 4, Bari, 70125, Italy Helwan University, Helwan, Cairo Governorate, 4037120, Egypt Arena, M.C. ROR:https://ror.org/00s6t1f81 Pavia U. Università degli studi di Pavia, Corso Strada Nuova 65, Pavia, 27100, Italy Barroso, M. ORCID:0000-0003-3904-0571 ROR:https://ror.org/0198v2949 Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, R. São Francisco Xavier, 524, Maracanã, Rio de Janeiro - RJ, 20550-013, Brazil Benussi, L. ROR:https://ror.org/049jf1a25 Frascati INFN - Laboratori Nazionali di Frascati, Via Enrico Fermi 54, Frascati (Roma), 00044, Italy Bianco, S. ROR:https://ror.org/049jf1a25 Frascati INFN - Laboratori Nazionali di Frascati, Via Enrico Fermi 54, Frascati (Roma), 00044, Italy Boscherini, D. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Sezione di Bologna, Via C. Berti Pichat 4/2, Bologna, 40127, Italy Bordon, F. ROR:https://ror.org/01ggx4157 CERN CERN, Espl. des Particules 1, Meyrin, 1211, Switzerland Bruni, A. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Sezione di Bologna, Via C. Berti Pichat 4/2, Bologna, 40127, Italy Buontempo, S. ROR:https://ror.org/015kcdd40 INFN, Naples INFN Sezione di Napoli, Complesso universitario di Monte S. Angelo ed. 6 Via Cintia, Napoli, 80126, Italy Busato, M. ROR:https://ror.org/01ggx4157 CERN CERN, Espl. des Particules 1, Meyrin, 1211, Switzerland Camarri, P. ROR:https://ror.org/02p77k626 Rome U., Tor Vergata Università degli studi di Roma Tor Vergata, Dipartimento di Fisica, Via della Ricerca Scientifica 1, Roma, 00133, Italy Cardarelli, R. ROR:https://ror.org/025rrx658 INFN, Rome2 INFN Sezione di Roma Tor Vergata, Via della Ricerca Scientifica 1, Roma, 00133, Italy Congedo, L. ROR:https://ror.org/022hq6c49 INFN, Bari INFN Sezione di Bari, Via E. Orabona 4, Bari, 70125, Italy Damiao, D. De Jesus ROR:https://ror.org/0198v2949 Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, R. São Francisco Xavier, 524, Maracanã, Rio de Janeiro - RJ, 20550-013, Brazil De Serio, M. ROR:https://ror.org/027ynra39 ROR:https://ror.org/022hq6c49 Bari U. INFN, Bari Università degli studi di Bari, Dipartimento Interateneo di Fisica, Via Amendola 173, Bari, 70125, Italy INFN Sezione di Bari, Via E. Orabona 4, Bari, 70125, Italy Di Ciaccio, A. ROR:https://ror.org/02p77k626 Rome U., Tor Vergata Università degli studi di Roma Tor Vergata, Dipartimento di Fisica, Via della Ricerca Scientifica 1, Roma, 00133, Italy Di Stante, L. ROR:https://ror.org/02p77k626 Rome U., Tor Vergata Università degli studi di Roma Tor Vergata, Dipartimento di Fisica, Via della Ricerca Scientifica 1, Roma, 00133, Italy Dupieux, P. ROR:https://ror.org/0214k6v65 LPC, Clermont-Ferrand Clermont Université, Université Blaise Pascal, CNRS/IN2P3, Laboratoire de Physique Corpusculaire, BP 10448, Clermont-Ferrand, F-63000, France Eysermans, J. ROR:https://ror.org/042nb2s44 MIT Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA, 02139, USA Ferretti, A. ROR:https://ror.org/048tbm396 ROR:https://ror.org/01vj6ck58 Turin U. INFN, Turin Università degli studi di Torino, Dipartimento di Fisica, Via P. Giuria 1, Torino, 10125, Italy INFN Sezione di Torino, Via P. Giuria 1, Torino, 10125, Italy Galati, G. ORCID:0000-0001-7348-3312 ROR:https://ror.org/027ynra39 ROR:https://ror.org/022hq6c49 Bari U. INFN, Bari Università degli studi di Bari, Dipartimento Interateneo di Fisica, Via Amendola 173, Bari, 70125, Italy INFN Sezione di Bari, Via E. Orabona 4, Bari, 70125, Italy Gagliardi, M. ROR:https://ror.org/048tbm396 ROR:https://ror.org/01vj6ck58 Turin U. INFN, Turin Università degli studi di Torino, Dipartimento di Fisica, Via P. Giuria 1, Torino, 10125, Italy INFN Sezione di Torino, Via P. Giuria 1, Torino, 10125, Italy Guida, R. ROR:https://ror.org/01ggx4157 CERN CERN, Espl. des Particules 1, Meyrin, 1211, Switzerland Iaselli, G. ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari Polytechnic INFN, Bari Politecnico di Bari, Dipartimento Interateneo di Fisica, via Amendola 173, Bari, 70125, Italy INFN Sezione di Bari, Via E. Orabona 4, Bari, 70125, Italy Joly, B. ROR:https://ror.org/0214k6v65 LPC, Clermont-Ferrand Clermont Université, Université Blaise Pascal, CNRS/IN2P3, Laboratoire de Physique Corpusculaire, BP 10448, Clermont-Ferrand, F-63000, France Juks, S.A. U. Paris-Saclay Université Paris-Saclay, 3 rue Joliot Curie, Bâtiment Breguet, Gif-sur-Yvette, 91190, France Lee, K.S. ROR:https://ror.org/047dqcg40 Korea U. Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, South Korea Liberti, B. ROR:https://ror.org/025rrx658 INFN, Rome2 INFN Sezione di Roma Tor Vergata, Via della Ricerca Scientifica 1, Roma, 00133, Italy Ramirez, D. Lucero ROR:https://ror.org/05vss7635 Iberoamericana U. Universidad Iberoamericana, Dept. de Fisica y Matematicas, Mexico City, 01210, Mexico Mandelli, B. ROR:https://ror.org/01ggx4157 CERN CERN, Espl. des Particules 1, Meyrin, 1211, Switzerland Manen, S.P. ROR:https://ror.org/0214k6v65 LPC, Clermont-Ferrand Clermont Université, Université Blaise Pascal, CNRS/IN2P3, Laboratoire de Physique Corpusculaire, BP 10448, Clermont-Ferrand, F-63000, France Massa, L. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Sezione di Bologna, Via C. Berti Pichat 4/2, Bologna, 40127, Italy Pastore, A. ROR:https://ror.org/022hq6c49 INFN, Bari INFN Sezione di Bari, Via E. Orabona 4, Bari, 70125, Italy Pastori, E. ROR:https://ror.org/025rrx658 INFN, Rome2 INFN Sezione di Roma Tor Vergata, Via della Ricerca Scientifica 1, Roma, 00133, Italy Piccolo, D. ROR:https://ror.org/049jf1a25 Frascati INFN - Laboratori Nazionali di Frascati, Via Enrico Fermi 54, Frascati (Roma), 00044, Italy Pizzimento, L. ROR:https://ror.org/025rrx658 INFN, Rome2 INFN Sezione di Roma Tor Vergata, Via della Ricerca Scientifica 1, Roma, 00133, Italy Polini, A. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Sezione di Bologna, Via C. Berti Pichat 4/2, Bologna, 40127, Italy Proto, G. ROR:https://ror.org/025rrx658 INFN, Rome2 INFN Sezione di Roma Tor Vergata, Via della Ricerca Scientifica 1, Roma, 00133, Italy Pugliese, G. ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari Polytechnic INFN, Bari Politecnico di Bari, Dipartimento Interateneo di Fisica, via Amendola 173, Bari, 70125, Italy INFN Sezione di Bari, Via E. Orabona 4, Bari, 70125, Italy Ramos, D. ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari Polytechnic INFN, Bari Politecnico di Bari, Dipartimento Interateneo di Fisica, via Amendola 173, Bari, 70125, Italy INFN Sezione di Bari, Via E. Orabona 4, Bari, 70125, Italy Rigoletti, G. ROR:https://ror.org/01ggx4157 CERN CERN, Espl. des Particules 1, Meyrin, 1211, Switzerland Rocchi, A. ROR:https://ror.org/025rrx658 INFN, Rome2 INFN Sezione di Roma Tor Vergata, Via della Ricerca Scientifica 1, Roma, 00133, Italy Romano, M. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Sezione di Bologna, Via C. Berti Pichat 4/2, Bologna, 40127, Italy Samalan, A. ROR:https://ror.org/04j0x0h93 INFN, Bologna Ghent University, Dept. of Physics and Astronomy, Proeftuinstraat 86, Ghent, B-9000, Belgium Salvini, P. ROR:https://ror.org/00cv9y106 Gent U. INFN Sezione di Pavia, Via A. Bassi 6, Pavia, 27100, Italy Santonico, R. ROR:https://ror.org/02p77k626 Rome U., Tor Vergata Università degli studi di Roma Tor Vergata, Dipartimento di Fisica, Via della Ricerca Scientifica 1, Roma, 00133, Italy Saviano, G. ROR:https://ror.org/022hq6c49 INFN, Bari Sapienza Università di Roma, Dipartimento di Ingegneria Chimica Materiali Ambiente, Piazzale Aldo Moro 5, Roma, 00185, Italy Sessa, M. ROR:https://ror.org/025rrx658 INFN, Rome2 INFN Sezione di Roma Tor Vergata, Via della Ricerca Scientifica 1, Roma, 00133, Italy Simone, S. ROR:https://ror.org/027ynra39 ROR:https://ror.org/022hq6c49 Bari U. INFN, Bari Università degli studi di Bari, Dipartimento Interateneo di Fisica, Via Amendola 173, Bari, 70125, Italy INFN Sezione di Bari, Via E. Orabona 4, Bari, 70125, Italy Terlizzi, L. ROR:https://ror.org/048tbm396 ROR:https://ror.org/01vj6ck58 Turin U. INFN, Turin Università degli studi di Torino, Dipartimento di Fisica, Via P. Giuria 1, Torino, 10125, Italy INFN Sezione di Torino, Via P. Giuria 1, Torino, 10125, Italy Tytgat, M. ORCID:0000-0002-3990-2074 ROR:https://ror.org/00cv9y106 ROR:https://ror.org/006e5kg04 Gent U. Vrije U., Brussels Ghent University, Dept. of Physics and Astronomy, Proeftuinstraat 86, Ghent, B-9000, Belgium Vrije Universiteit Brussel (VUB-ELEM), Dept. of Physics, Pleinlaan 2, Brussels, 1050, Belgium Vercellin, E. ROR:https://ror.org/048tbm396 ROR:https://ror.org/01vj6ck58 Turin U. INFN, Turin Università degli studi di Torino, Dipartimento di Fisica, Via P. Giuria 1, Torino, 10125, Italy INFN Sezione di Torino, Via P. Giuria 1, Torino, 10125, Italy Verzeroli, M. ROR:https://ror.org/02avf8f85 IP2I, Lyon Universitè Claude Bernard Lyon I, 43 Bd du 11 Novembre 1918, Villeurbanne, 69100, France Zaganidis, N. ROR:https://ror.org/05vss7635 Iberoamericana U. Universidad Iberoamericana, Dept. de Fisica y Matematicas, Mexico City, 01210, Mexico RPC ECOGas@GIF++ Collaboration 169747 publication Nucl. Instrum. Methods Phys. Res., A 1068 C23-11-06.1 2024 2518458 68978 http://cds.cern.ch/record/2891797/files/ship_ECO2AgingAll.png 00002 Trend of current and effective high voltage as a function of the integrated charge for the LHCb/SHiP RPC 2518459 559340 http://cds.cern.ch/record/2891797/files/2402.19395.pdf Fulltext 2518460 221767 http://cds.cern.ch/record/2891797/files/setup.png 00000 Sketch of the experimental setup installed in GIF++ (a detailed description of each component is reported in the text) 2518461 37249 http://cds.cern.ch/record/2891797/files/intChargeOhers.png 00006 : Image B : Another figureTotal charge integrated with the ECO2 gas mixture for the ALICE, ATLAS, EP-DT and LHCb/SHiP detectors 2518462 80766 http://cds.cern.ch/record/2891797/files/BOT_allECO2aging.png 00003 Trend of current density and effective high voltage as a function of the integrated charge for the CMS RE11 BOT gap 2518463 33318 http://cds.cern.ch/record/2891797/files/darkCurrentScanExampleEPDT.png 00001 Example of dark current scan, obtained from the EP-DT detector. The linear interpolation to estimate the Ohmic dark current at the irradiation voltage is also shown in red in the figure and the blue line represents the irradiation voltage 2518464 38757 http://cds.cern.ch/record/2891797/files/intChargeCMS.png 00005 : Image A : A figureTotal charge integrated with the ECO2 gas mixture for the three gaps of the CMS RE11 detector 2518465 22408 http://cds.cern.ch/record/2891797/files/resShipNew.png 00004 Trend of the electrode resistivity (measured with the Ar method) during the aging test time period for the SHiP/LHCb detector (the 0 values represent measurements where the detector was not included) 2518466 37458 http://cds.cern.ch/record/2891797/files/effComparison.png 00007 Top panel: comparison of source-off efficiency curves between July 2022 and 2023, obtained with the ECO2 gas mixture. Bottom panel: comparison of dark current curves between July 2022 and 2023, obtained with the ECO2 gas mixture 2557972 1669921 http://cds.cern.ch/record/2891797/files/Publication.pdf Fulltext 13 2892786 169747 cern20231106 ARTICLE ConferencePaper 2891548 20240910142105.0 CERN ARTICLE 17305-17333 IEEE Access 11 2023 2518030 10790598 http://cds.cern.ch/record/2891548/files/Multimodal_Multi-User_Mixed_Reality_HumanRobot_Interface_for_Remote_Operations_in_Hazardous_Environments.pdf 2518030 236643 http://cds.cern.ch/record/2891548/files/Multimodal_Multi-User_Mixed_Reality_HumanRobot_Interface_for_Remote_Operations_in_Hazardous_Environments.jpg?subformat=icon-1440 icon-1440 2518030 236643 http://cds.cern.ch/record/2891548/files/Multimodal_Multi-User_Mixed_Reality_HumanRobot_Interface_for_Remote_Operations_in_Hazardous_Environments.jpg?subformat=icon-640 icon-640 2518030 236643 http://cds.cern.ch/record/2891548/files/Multimodal_Multi-User_Mixed_Reality_HumanRobot_Interface_for_Remote_Operations_in_Hazardous_Environments.jpg?subformat=icon-700 icon-700 2518030 78586 http://cds.cern.ch/record/2891548/files/Multimodal_Multi-User_Mixed_Reality_HumanRobot_Interface_for_Remote_Operations_in_Hazardous_Environments.gif?subformat=icon icon 2518030 82774 http://cds.cern.ch/record/2891548/files/Multimodal_Multi-User_Mixed_Reality_HumanRobot_Interface_for_Remote_Operations_in_Hazardous_Environments.jpg?subformat=icon-180 icon-180 29 p ARTICLE Prades, Raul Marin Jaume I U., Castellon Matheson, Eloise CERN Rodriguez-Nogueira, Jose CERN Castro, Mario Di CERN Multimodal Multi-User Mixed Reality Human–Robot Interface for Remote Operations in Hazardous Environments DOI 10.1109/ACCESS.2023.3245833 oai:cds.cern.ch:2891548 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN 2023 In hazardous environments, where conditions present risks for humans, the maintenance and interventions are often done with teleoperated remote systems or mobile robotic manipulators to avoid human exposure to dangers. The increasing need for safe and efficient teleoperation requires advanced environmental awareness and collision avoidance. The up-to-date screen-based 2D or 3D interfaces do not fully allow the operator to immerse in the controlled scenario. This problem can be addressed with the emerging Mixed Reality (MR) technologies with Head-Mounted Devices (HMDs) that offer stereoscopic immersion and interaction with virtual objects. Such human-robot interfaces have not yet been demonstrated in telerobotic interventions in particle physics accelerators. Moreover, the operations often require a few experts to collaborate, which increases the system complexity and requires sharing an Augmented Reality (AR) workspace. The multi-user mobile telerobotics in hazardous environments with shared control in the AR has not yet been approached in the state-of-the-art. In this work, the developed MR human-robot interface using the AR HMD is presented. The interface adapts to the constrained wireless networks in particle accelerator facilities and provides reliable high-precision interaction and specialized visualization. The multimodal operation uses hands, eyes and user motion tracking, and voice recognition for control, as well as offers video, 3D point cloud and audio feedback from the robot. Multiple experts can collaborate in the AR workspace locally or remotely, and share or monitor the robot’s control. Ten operators tested the interface in intervention scenarios in the European Organization for Nuclear Research (CERN) with complete network characterization and measurements to conclude if operational requirements were met and if the network architecture could support single and multi-user communication load. The interface system has proved to be operationally ready at the Technical Readiness Level (TRL) 8 and was validated through successful demonstration in single and multi-user missions. Some system limitations and further work areas were identified, such as optimizing the network architecture for multi-user scenarios or high-level interface actions applying automatic interaction strategies depending on network conditions. publication CC-BY-4.0 CERN-RP: IEEE https://creativecommons.org/licenses/by/4.0/ publication Szczurek, Krzysztof Adam CERN Jaume I U., Castellon 2023 2891176 SzGeCERN 20240925093957.0 DOI 10.5194/acp-23-6703-2023 oai:cds.cern.ch:2891176 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2765969 2024-03-08T15:05:35Z 2024-03-09T05:00:08Z marcxml Inspire 2765969 eng Pfeifer, Joschka CERN Frankfurt U. Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany submitter Measurement of the collision rate coefficients between atmospheric ions and multiply charged aerosol particles in the CERN CLOUD chamber 2023 16 p submitter Aerosol particles have an important role in Earth's radiation balance and climate, both directly and indirectly through aerosol–cloud interactions. Most aerosol particles in the atmosphere are weakly charged, affecting both their collision rates with ions and neutral molecules, as well as the rates by which they are scavenged by other aerosol particles and cloud droplets. The rate coefficients between ions and aerosol particles are important since they determine the growth rates and lifetimes of ions and charged aerosol particles, and so they may influence cloud microphysics, dynamics, and aerosol processing. However, despite their importance, very few experimental measurements exist of charged aerosol collision rates under atmospheric conditions, where galactic cosmic rays in the lower troposphere give rise to ion pair concentrations of around 1000 cm−3. Here we present measurements in the CERN CLOUD chamber of the rate coefficients between ions and small (<10 nm) aerosol particles containing up to 9 elementary charges, e. We find the rate coefficient of a singly charged ion with an oppositely charged particle increases from $2.0 (0.4-4.4) \times 10^{-6} \textrm{cm}^3 \textrm{s}^{-1}$ to $30.6 (24.9-45.1) × 10{-6} \textrm{cm}^3 \textrm{s}^{-1}$ for particles with charges of 1 to 9 e, respectively, where the parentheses indicate the ±1σ uncertainty interval. Our measurements are compatible with theoretical predictions and show excellent agreement with the model of Gatti and Kortshagen (2008). publication CC-BY-4.0 Other https://creativecommons.org/licenses/by/4.0/ publication Author(s) 2023 SzGeCERN Chemical Physics and Chemistry ARTICLE CERN CLOUD Mahfouz, Naser G A Carnegie Mellon U. Princeton U. Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA Schulze, Benjamin C Caltech Mathot, Serge CERN Stolzenburg, Dominik Helsinki U. Baalbaki, Rima Helsinki U. Brasseur, Zoé Helsinki U. Caudillo, Lucia Frankfurt U., FIAS Frankfurt U. Dada, Lubna PSI, Villigen Granzin, Manuel Frankfurt U., FIAS Frankfurt U. He, Xu-Cheng Helsinki U. Helsinki Inst. of Phys. Finnish Meteorological Institute, 00560 Helsinki, Finland Lamkaddam, Houssni PSI, Villigen Lopez, Brandon Carnegie Mellon U. Makhmutov, Vladimir Lebedev Inst. Moscow, MIPT Moscow Institute of Physics and Technology (National Research University), 117303 Moscow, Russia Marten, Ruby PSI, Villigen Mentler, Bernhard Innsbruck U. Müller, Tatjana Frankfurt U., FIAS Frankfurt U. Onnela, Antti CERN Philippov, Maxim Lebedev Inst. Piedehierro, Ana A Helsinki Inst. of Phys. Rörup, Birte Helsinki U. Schervish, Meredith Carnegie Mellon U. UC, Irvine (main) Department of Chemistry, University of California, Irvine, CA 92697, USA Tian, Ping Beijing Normal U. Umo, Nsikanabasi S KIT, Karlsruhe, IAP Wang, Dongyu S PSI, Villigen Wang, Mingyi Caltech Weber, Stefan K CERN Frankfurt U. Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany Welti, André Helsinki Inst. of Phys. Wu, Yusheng Helsinki U. Zauner-Wieczorek, Marcel Frankfurt U., FIAS Frankfurt U. Amorim, Antonio Lisbon, CENTRA Haddad, Imad El PSI, Villigen Kulmala, Markku Helsinki U. Lehtipalo, Katrianne Helsinki U. Helsinki Inst. of Phys. Finnish Meteorological Institute, 00560 Helsinki, Finland Petäjä, Tuukka Helsinki U. Tomé, António UBI, Covilha Mirme, Sander Tartu, Inst. Phys. Airel Ltd., 50411, Tartu, Estonia Manninen, Hanna E CERN Donahue, Neil M Carnegie Mellon U. Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA Flagan, Richard C Caltech Kürten, Andreas Frankfurt U., FIAS Frankfurt U. Curtius, Joachim Frankfurt U., FIAS Frankfurt U. Kirkby, Jasper CERN Frankfurt U., FIAS Frankfurt U. Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany 6703-6718 12 Atmos. Chem. Phys. 23 2023 2516703 1396664 http://cds.cern.ch/record/2891176/files/acp-23-6703-2023.pdf Fulltext 13 ARTICLE 2896015 20250515232543.0 oai:cds.cern.ch:2896015 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN Inspire 2782788 CERN-THESIS-2023-386 eng AUTHOR|(CDS)2626230 AUTHOR|(SzGeCERN)831961 Cristiano, Antonio antonio.cristiano@cern.ch Huddersfield U. Design of an Electro-Optic Beam Position Monitor for Unbunched Beams based on Frequency Domain DC Field Measurements 2024 06/11/2023 145 p Presented 06 Nov 2023 PhD Huddersfield U. 2023-06-26 Continuous and accurate monitoring of the transverse position of a charged particle beam in an accelerator plays a crucial role in ensuring efficient operation of the accelerator and the success of the conducted physics experiments. This is typically achieved with Beam Position Monitors (BPMs) which are, however, insensitive to DC, or unbunched, beams. In such cases, other beam diagnostic tools are used, such as intercepting instruments which alter the properties of the passing beam. This feature poses a challenge for some experiments, e.g. Fixed Target Experiments at CERN, which rely on beams without any temporal structure. This thesis addresses the lack of DC-sensitive BPMs by exploring the use of Electro- Optic (EO) crystals as an alternative to traditional BPMs electrodes. The proposed technique requires four optical chains arranged symmetrically around the vacuum chamber. Each chains acts as an electrostatic field sensor composed of two EO crystals providing two different functionalities. One crystal, placed inside the vacuum chamber, encodes the intensity of the electrostatic field carried by the particle beam onto the polarisation state of the laser beam crossing the optical chain. The other EO crystal is installed outside the vacuum chamber and is modulated with a sinusoidal electric field. This allows the output signal to be analysed in the frequency domain, as well as setting a DC bias to control the system’s working point and to compensate for environmental changes of the crystal’s optical properties. A detailed study of low-frequency effects on the EO materials was carried out to evaluate the measurement error due to the collection of the space charge and the variation of the refractive indices due to temperature fluctuations. Laboratory measurements of the developed electrostatic field sensor, representing one BPM electrode, proved the feasibility of the proposed technique, comparing it to the analytical predictions obtained with a mathematical model of the setup. These measurements provided valuable insights into the performance of the system and further development and optimisation opportunities. The developed technology is not limited to particle accelerators, but can also find use in any application requiring DC field sensing in harsh environments without interfering with the measured field CERN Doctoral Student Program CERN EDS SzGeCERN Accelerators and Storage Rings CERN THESIS Not applicable RD-9 Michal, KRUPA dir. CERN Richard, HILL dir. Huddersfield U. SY 2526082 18397803 http://cds.cern.ch/record/2896015/files/CERN-THESIS-2023-386.pdf Fulltext madeleine.catin@cern.ch n 202417 a2024 14 PUBLIC https://repository.cern/legacy/record/2896015 THESIS MIGRATED 2895244 SzGeCERN 20240412205138.0 DOI JACOW 10.18429/JACoW-ICALEPCS2023-TUSDSC07 oai:cds.cern.ch:2895244 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2024-04-12T04:00:13Z marcxml oai:inspirehep.net:2754549 2024-04-11T09:29:39Z Inspire 2754549 eng Ledeul, Adrien JACoW-00062475 adrien.ledeul@cern.ch CERN JACOW Web Dashboards for CERN Radiation and Environmental Protection Monitoring 2023 6 p JACOW CERN has developed and operates a SCADA system for radiation and environmental monitoring, which is used by many users with different needs and profiles. To provide tailored access to this control system¿s data, the CERN’s Occupational Health & Safety and Environmental Protection (HSE) Unit has developed a web-based dashboard editor that allows users to create custom dashboards for data analysis. In this paper, we present a technology stack comprising Spring Boot, React, Apache Kafka, WebSockets, and WebGL that provides a powerful tool for a web-based presentation layer for the SCADA system. This stack leverages WebSocket for near-real-time communication between the web browser and the server. Additionally, it provides high-performant, reliable, and scalable data delivery using low-latency data streaming with Apache Kafka. Furthermore, it takes advantage of the GPU’s power with WebGL for data visualization. This web-based dashboard editor and the technology stack provide a faster, more integrated, and accessible solution for building custom dashboards and analyzing data. CC-BY-4.0 JACOW https://creativecommons.org/licenses/by/4.0 SzGeCERN Computing and Computers author SCADA author radiation author real-time author monitoring author interface ARTICLE CERN Savulescu, Alexandru JACoW-00108300 alexandru.savulescu@cern.ch CERN Segura, Gustavo JACoW-00004912 gustavo.segura@cern.ch CERN TUSDSC07 ICALEPCS2023 C23-10-07 2023 JACoW ICALEPCS 2023 2524766 575529 http://cds.cern.ch/record/2895244/files/document.pdf Fulltext 13 2881790 cape town20231007 TUSDSC07 ARTICLE ConferencePaper 2894702 SzGeCERN 20240406212400.0 DOI 10.1109/tns.2023.3267636 oai:cds.cern.ch:2894702 cerncds:CERN https://inspirehep.net/api/oai2d 2024-04-06T04:00:04Z marcxml oai:inspirehep.net:2770623 2024-04-04T14:41:53Z Inspire 2770623 eng Sheikh, Md Abdul Kuddus submitter Solution-Processable A$_2$XY$_4$ (A = PEA, BA; X = Pb, Sn, Cu, Mn; Y = Cl, Br, I) Crystals for High Light Yield and Ultrafast Scintillators 2023 8 p submitter Two-dimensional (2-D) Ruddlesden-Popper (RP) hybrid organic-inorganic perovskite (HOIP) crystals, A 2 XY 4 [A = Phenethylammonium (PEA), Butylammonium (BA); X = Pb, Sn, Cu, Mn; Y = Cl, Br, I] have been a subject of interest for solution-processable scintillators for the past two decades, due to the possibility to grow high-quality and large crystals with low-cost techniques. We start the review from PEA 2 PbBr 4 and BA 2 PbBr 4 crystals, which have light yields >10 photons/keV and scintillation decay times < 15 ns. Then, we extend our review to iodide compounds from the perspective that the smaller bandgaps and the heavier anions can allow higher light yields and shorter absorption lengths, respectively. In our previous experiments, we observed that the iodide crystals are bright while they have 1 ns optical decay times. Another approach is the investigations of the ion-doped PEA 2 PbBr 4 and BA 2 PbBr 4 , in which Li-doped PEA 2 PbBr 4 has 23 photons/keV light yields. An additional feature is the thermal neutron detection and the discrimination with gamma-ray. Finally, we investigate lead-free perovskite variants (Sn, Cu, and Mn) as they are more friendly to environments, and the emission is shifted from blue to green or red for better sensitivity with current X-ray imaging detectors. Unfortunately, the light yields are much lower than the Pb counterparts, while the decay times are considerably slower due to different exciton mechanisms. This comprehensive investigation helps us to direct our review to the identification of the ultimate 2-D RP HOIP scintillators with high light yield, ultrafast response, and environmental friendliness. IEEE 2023 SzGeCERN Detectors and Experimental Techniques SzGeCERN Nuclear Physics - Experiment ARTICLE CERN Kowal, Dominik Mahyuddin, Muhammad Haris Bandung Inst. Tech. Onggo, Djulia Bandung Inst. Tech. Maddalena, Francesco Dang, Cuong Nanyang Technol. U. Cala', Roberto Milan Bicocca U. Auffray, Etiennette CERN Witkowski, Marcin Eugeniusz Torun, Copernicus Astron. Ctr. Makowski, Michal Torun, Copernicus Astron. Ctr. Drozdowski, Winicjusz Torun, Copernicus Astron. Ctr. Cortecchia, Daniele Bologna U. Dujardin, Christophe ILM, Lyon Birowosuto, Muhammad Danang 1384-1391 7 C22-09-19.10 2023 IEEE Trans. Nucl. Sci. 70 13 2827024 santa fe20220919 1384-1391 ARTICLE ConferencePaper 2894139 20251201181647.0 oai:cds.cern.ch:2894139 cerncds:TALK eng Indico 3169 CERN. Geneva 2024 CERN openlab Technical Workshop CERN - 81/R-003C - Science Gateway Auditorium C 2024-03-27T09:30:00 2024-03-27T09:45:00 1356148c28 EMP2 - Environmental Modelling and Prediction Platform using Foundation Models 2024 2024-03-27 1038 Streaming video Workshops and Training 2024 CERN openlab Technical Workshop 2024-03-27T09:30:00 CERN 2024 Workshops and Training Event TALK CERN Luise, Ilaria speaker CERN https://indico.cern.ch/event/1356148/contributions/5800025/ Talk details https://indico.cern.ch/event/1356148/ Event details MediaArchive /mnt/master_share/master_data/2024/1356148c28 Absolute master path MediaArchive /2024/1356148c28/1356148c28_en.vtt subtitle subtitle English MediaArchive /2024/1356148c28/1356148c28_fr.vtt subtitle subtitle Français MediaArchive https://lecturemedia.cern.ch/2024/1356148c28/1356148c28-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive https://lecturemedia.cern.ch/2024/1356148c28/1356148c28-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1747238 MediaArchive https://lecturemedia.cern.ch/2024/1356148c28/1356148c28-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 104038 MediaArchive https://lecturemedia.cern.ch/2024/1356148c28/1356148c28-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 802919 MediaArchive https://lecturemedia.cern.ch/2024/1356148c28/1356148c28-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 250154 MediaArchive https://lecturemedia.cern.ch/2024/1356148c28/1356148c28-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 331893 MediaArchive https://lecturemedia.cern.ch/2024/1356148c28/1356148c28-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1046886 MediaArchive https://lecturemedia.cern.ch/2024/1356148c28/1356148c28-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 97879 MediaArchive https://lecturemedia.cern.ch/2024/1356148c28/1356148c28-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3043062 kristina.ulrika.gunne@cern.ch Girone, Maria CERN 2023-12-08T09:48:01 2024-04-02T11:56:35 PUBLIC INDICO.1356148c28 https://videos.cern.ch/legacy/record/2894139 Indico TALK MIGRATED 2898873 SzGeCERN 20250813091918.0 DOI IOP 10.1088/1742-6596/2687/9/092014 DOI JACOW 10.18429/JACoW-IPAC2023-WEODA1 oai:cds.cern.ch:2898873 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN HAL hal-04411335 https://inspirehep.net/api/oai2d 2024-05-29T04:39:25Z marcxml oai:inspirehep.net:2716915 2024-05-28T12:00:22Z Inspire 2716915 eng Delerue, N nicolas.delerue@ijclab.in2p3.fr IJCLab, Orsay IOP Challenging students into developing accelerator-based innovations to protect the environment JACOW Challenging students into developing accelerator-based innovations to protect the environment 2024 2023 6 p IOP The I.FAST CBI is an immersive challenge-based innovation program funded by the H2020 I.FAST project. The 10-day face-to-face challenge brings together students of different disciplines from all over Europe to work together on innovative projects using accelerator technology applied to environmental challenges. We report on the first edition of the I.FAST CBI, the proposed projects and feedback from the students. JACOW The I.FAST CBI is an immersive challenge-based innovation program funded by the H2020 I.FAST project. The 10-day face-to-face challenge brings together students of different disciplines from all over Europe to work together on innovative projects using accelerator technology applied to environmental challenges. We report on the first edition of the I.FAST CBI, the proposed projects and feedback from the students. publication CC-BY-3.0 IOP http://creativecommons.org/licenses/by/3.0/ publication CC-BY-4.0 JACOW https://creativecommons.org/licenses/by/4.0 SzGeCERN Accelerators and Storage Rings ARTICLE CERN Burrows, P N JAI, UK Castelle, M ESI, Archamps Holland, B Rinolfi, L CERN Métral, E CERN Vretenar, M CERN Starovoitova, V IAEA, Vienna BE 092014 9 2024 J. Phys. : Conf. Ser. 2687 WEODA1 IPAC2023 C23-05-07 2023 JACoW IPAC 2023 2532542 447641 http://cds.cern.ch/record/2898873/files/PublicationJACoW.pdf Fulltext 2532543 650743 http://cds.cern.ch/record/2898873/files/PublicationIOP.pdf Fulltext 13 2858945 venice20230507 092014 ARTICLE ConferencePaper 2898602 20260417091059.0 oai:cds.cern.ch:2898602 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI 10.1051/0004-6361/202450810 arXiv oai:arXiv.org:2405.13491 oai:inspirehep.net:2789425 https://inspirehep.net/api/oai2d Inspire 2026-04-07T12:49:07Z 2026-04-08T02:02:49Z marcxml true Inspire 2789425 arXiv arXiv:2405.13491 astro-ph.CO eng Mellier, Y. Paris, Inst. Astrophys. Institut d'Astrophysique de Paris, 98bis Boulevard Arago, 75014, Paris, France Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France arXiv Euclid. I. Overview of the Euclid mission 2025-04 2024-05-22 94 p arXiv Accepted for publication in the A&A special issue`Euclid on Sky' arXiv The current standard model of cosmology successfully describes a variety of measurements, but the nature of its main ingredients, dark matter and dark energy, remains unknown. Euclid is a medium-class mission in the Cosmic Vision 2015-2025 programme of the European Space Agency (ESA) that will provide high-resolution optical imaging, as well as near-infrared imaging and spectroscopy, over about 14,000 deg^2 of extragalactic sky. In addition to accurate weak lensing and clustering measurements that probe structure formation over half of the age of the Universe, its primary probes for cosmology, these exquisite data will enable a wide range of science. This paper provides a high-level overview of the mission, summarising the survey characteristics, the various data-processing steps, and data products. We also highlight the main science objectives and expected performance. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ Other preprint The Author(s) 2024 publication The Author(s) 2024 For annual report arXiv astro-ph.IM arXiv astro-ph.GA SzGeCERN Astrophysics and Astronomy arXiv astro-ph.CO CERN ARTICLE EUCLID Barroso, J.A. Acevedo ORCID:0000-0002-9654-1711 LASTRO Observ. Institute of Physics, Laboratory of Astrophysics, Ecole Polytechnique Fédérale de Lausanne Achúcarro, A. Leiden U. Basque U., Bilbao Institute Lorentz, Leiden University, Niels Bohrweg 2, 2333 CA Leiden, The Netherlands Departamento de Física, Universidad del País Vasco UPV-EHU, 48940 Leioa, Spain Adamek, J. ORCID:0000-0002-0723-6740 Zurich U. Department of Astrophysics, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland Adam, R. ORCID:0009-0000-5380-1109 OCA, Nice, Lab. Lagrange Université Côte d'Azur, Observatoire de la Côte d'Azur, CNRS, Laboratoire Lagrange, Bd de l'Observatoire, CS 34229, 06304 Nice cedex 4, France Addison, G.E. ORCID:0000-0002-2147-2248 Johns Hopkins U. Johns Hopkins University 3400 North Charles Street Baltimore, MD 21218, USA Aghanim, N. ORCID:0000-0002-6688-8992 Orsay, IAS Université Paris-Saclay, CNRS, Institut d'astrophysique spatiale, 91405, Orsay, France Aguena, M. APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, 75013 Paris, France Ajani, V. ORCID:0000-0001-9442-2527 AIM, Saclay ETH, Zurich (main) INFN, Turin Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Institute for Particle Physics and Astrophysics, Dept. of Physics, ETH Zurich, Wolfgang-Pauli-Strasse 27, 8093 Zurich, Switzerland INFN-Sezione di Torino, Via P. Giuria 1, 10125 Torino, Italy Akrami, Y. ORCID:0000-0002-2407-7956 Madrid, Autonoma U. CSIC, Madrid Case Western Reserve U. Instituto de Física Teórica UAM-CSIC, Campus de Cantoblanco, 28049 Madrid, Spain CERCA/ISO, Department of Physics, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA Al-Bahlawan, A. Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Alavi, A. ORCID:0000-0002-8630-6435 Caltech Infrared Processing and Analysis Center, California Institute of Technology, Pasadena, CA 91125, USA Albuquerque, I.S. ORCID:0000-0002-5369-1226 Lisbon U. Instituto de Astrofísica e Ciências do Espaço, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal Alestas, G. ORCID:0000-0003-1790-4914 Madrid, Autonoma U. CSIC, Madrid Instituto de Física Teórica UAM-CSIC, Campus de Cantoblanco, 28049 Madrid, Spain Alguero, G. LPSC, Grenoble Univ. Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 53, Avenue des Martyrs, 38000, Grenoble, France Allaoui, A. Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Allen, S.W. ORCID:0000-0003-0667-5941 Stanford U. SLAC Kavli Institute for Particle Astrophysics \& Cosmology Department of Physics, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94305, USA SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA 94025, USA Allevato, V. ORCID:0000-0001-7232-5152 Capodimonte Observ. INAF-Osservatorio Astronomico di Capodimonte, Via Moiariello 16, 80131 Napoli, Italy Alonso-Tetilla, A.V. ORCID:0000-0002-6916-9133 Southampton U. Department of Physics and Astronomy, University of Southampton, Southampton, SO17 1BJ, UK Altieri, B. ORCID:0000-0003-3936-0284 ESA, Madrid ESAC/ESA, Camino Bajo del Castillo, s/n., Urb. Villafranca del Castillo, 28692 Villanueva de la Cañada, Madrid, Spain Alvarez-Candal, A. ORCID:0000-0002-5045-9675 IAA, Granada Alicante U. Instituto de Astrofísica de Andalucía, CSIC, Glorieta de la Astronomí a, 18080, Granada, Spain Instituto de Física Aplicada a las Ciencias y las Tecnologías, Universidad de Alicante, San Vicent del Raspeig, E03080, Alicante, Spain Amara, A. U. Surrey (main) School of Mathematics and Physics, University of Surrey, Guildford, Surrey, GU2 7XH, UK Amendola, L. ORCID:0000-0002-0835-233X U. Heidelberg, ITP Institut für Theoretische Physik, University of Heidelberg, Philosophenweg 16, 69120 Heidelberg, Germany Amiaux, J. AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Andika, I.T. ORCID:0000-0001-6102-9526 Garching, Max Planck Inst. Munich, Tech. U. Max-Planck-Institut für Astrophysik, Karl-Schwarzschild-Str. 1, 85748 Garching, Germany Technical University of Munich, TUM School of Natural Sciences, Physics Department, James-Franck-Str. 1, 85748 Garching, Germany Andreon, S. ORCID:0000-0002-2041-8784 Brera Observ. INAF-Osservatorio Astronomico di Brera, Via Brera 28, 20122 Milano, Italy Andrews, A. Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Angora, G. ORCID:0000-0002-0316-6562 Capodimonte Observ. Ferrara U. INAF-Osservatorio Astronomico di Capodimonte, Via Moiariello 16, 80131 Napoli, Italy Dipartimento di Fisica e Scienze della Terra, Università degli Studi di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy Angulo, R.E. ORCID:0000-0003-2953-3970 Donostia Intl. Phys. Ctr., San Sebastian IKERBASQUE, Bilbao Donostia International Physics Center IKERBASQUE, Basque Foundation for Science, 48013, Bilbao, Spain Annibali, F. Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Anselmi, A. ORCID:0000-0001-9897-9779 Thales Alenia Space Italia, Turin Thales Alenia Space -- Euclid satellite Prime contractor, Strada Antica di Collegno 253, 10146 Torino, Italy Anselmi, S. ORCID:0000-0002-3579-9583 INFN, Padua Padua U. LUTH, Meudon INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy Laboratoire Univers et Théorie, Observatoire de Paris, Université PSL, Université Paris Cité, CNRS, 92190 Meudon, France Arcari, S. ORCID:0000-0002-0551-1315 Ferrara U. INFN, Ferrara Dipartimento di Fisica e Scienze della Terra, Università degli Studi di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy Istituto Nazionale di Fisica Nucleare, Sezione di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy Archidiacono, M. ORCID:0000-0003-4952-9012 Milan U. INFN, Milan Dipartimento di Fisica "Aldo Pontremoli", Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy INFN-Sezione di Milano, Via Celoria 16, 20133 Milano, Italy Aricò, G. ORCID:0000-0002-2802-2928 Zurich U. Department of Astrophysics, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland Arnaud, M. IRFU, Saclay AIM, Saclay IRFU, CEA, Université Paris-Saclay 91191 Gif-sur-Yvette Cedex, France Université Paris Diderot, AIM, Sorbonne Paris Cité, CEA, CNRS 91191 Gif-sur-Yvette Cedex, France Arnouts, S. Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Asgari, M. ORCID:0000-0002-3064-083X Newcastle U., United Kingdom School of Mathematics, Statistics and Physics, Newcastle University, Herschel Building, Newcastle-upon-Tyne, NE1 7RU, UK Asorey, J. ORCID:0000-0002-6211-499X Madrid U. Departamento de Física Teórica and Instituto de Física de Partí-culas y del Cosmos Atayde, L. ORCID:0000-0001-6373-9193 Lisbon U. Instituto de Astrofísica e Ciências do Espaço, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal Atek, H. ORCID:0000-0002-7570-0824 Paris, Inst. Astrophys. Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France Atrio-Barandela, F. ORCID:0000-0002-2130-2513 Salamanca U., IUFFyM Departamento de Física Fundamental. Universidad de Salamanca. Plaza de la Merced s/n. 37008 Salamanca, Spain Aubert, M. Clermont-Ferrand U. IP2I, Lyon Université Clermont Auvergne, CNRS/IN2P3, LPC, F-63000 Clermont-Ferrand, France Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, F-69100, France Aubourg, E. ORCID:0000-0002-5592-023X APC, Paris IRFU, Saclay Université Paris Cité, CNRS, Astroparticule et Cosmologie, 75013 Paris, France IRFU, CEA, Université Paris-Saclay 91191 Gif-sur-Yvette Cedex, France Auphan, T. ORCID:0009-0008-9988-3646 Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Auricchio, N. ORCID:0000-0003-4444-8651 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Aussel, B. ORCID:0000-0003-2592-6806 Munster U., ITP Institut für Planetologie, Universität Münster, Wilhelm-Klemm-Str. 10, 48149 Münster, Germany Aussel, H. ORCID:0000-0002-1371-5705 AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Avelino, P.P. ORCID:0000-0002-1440-6963 Porto U., Astron. Dept. Porto U. Departamento de Física e Astronomia, Faculdade de Ciências, Universidade do Porto, Rua do Campo Alegre 687, PT4169-007 Porto, Portugal Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto, CAUP, Rua das Estrelas, PT4150-762 Porto, Portugal Avgoustidis, A. Nottingham U. School of Physics and Astronomy, University of Nottingham, University Park, Nottingham NG7 2RD, UK Avila, S. ORCID:0000-0001-5043-3662 Barcelona, IFAE Institut de Física d'Altes Energies Awan, S. Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Azzollini, R. ORCID:0000-0002-0438-0886 Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Baccigalupi, C. ORCID:0000-0002-8211-1630 SISSA, Trieste IFPU, Trieste INFN, Trieste Trieste Observ. IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy SISSA, International School for Advanced Studies, Via Bonomea 265, 34136 Trieste TS, Italy Bachelet, E. ORCID:0000-0002-6578-5078 Caltech Caltech/IPAC, 1200 E. California Blvd., Pasadena, CA 91125, USA Bacon, D. ORCID:0000-0002-2562-8537 Portsmouth U., ICG Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK Baes, M. ORCID:0000-0002-3930-2757 U. Gent (main) Sterrenkundig Observatorium, Universiteit Gent, Krijgslaan 281 S9, 9000 Gent, Belgium Bagley, M.B. ORCID:0000-0002-9921-9218 Texas U. The University of Texas at Austin, Austin, TX, 78712, USA Bahr-Kalus, B. ORCID:0000-0002-4578-4019 IP2I, Lyon Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, F-69100, France UCB Lyon 1, CNRS/IN2P3, IUF, IP2I Lyon, 4 rue Enrico Fermi, 69622 Villeurbanne, France Balaguera-Antolinez, A. ORCID:0000-0001-5028-3035 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias, Calle Vía Láctea s/n, 38204, San Cristóbal de La Laguna, Tenerife, Spain Departamento de Astrofísica, Universidad de La Laguna, 38206, La Laguna, Tenerife, Spain Balbinot, E. ORCID:0000-0002-1322-3153 Kapteyn Astron. Inst., Groningen Leiden Observ. Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands Leiden Observatory, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands Balcells, M. ORCID:0000-0002-3935-9235 IAC, La Laguna Laguna U., Tenerife Newton Inst. Math. Sci., Cambridge Hewlett-Packard, Bristol Instituto de Astrofísica de Canarias, Calle Vía Láctea s/n, 38204, San Cristóbal de La Laguna, Tenerife, Spain Departamento de Astrofísica, Universidad de La Laguna, 38206, La Laguna, Tenerife, Spain Baldi, M. ORCID:0000-0003-4145-1943 U. Bologna, DIFA Bologna Observ. INFN, Bologna Dipartimento di Fisica e Astronomia, Università di Bologna, Via Gobetti 93/2, 40129 Bologna, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Baldry, I. Liverpool John Moores U. Astrophysics Research Institute, Liverpool John Moores University, 146 Brownlow Hill, Liverpool L3 5RF, UK Balestra, A. ORCID:0000-0002-6967-261X Padua Observ. INAF-Osservatorio Astronomico di Padova, Via dell'Osservatorio 5, 35122 Padova, Italy Ballardini, M. ORCID:0000-0003-4481-3559 Ferrara U. Bologna Observ. INFN, Ferrara Dipartimento di Fisica e Scienze della Terra, Università degli Studi di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Istituto Nazionale di Fisica Nucleare, Sezione di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy Ballester, O. ORCID:0000-0002-7126-5300 Barcelona, IFAE Institut de Física d'Altes Energies Balogh, M. ORCID:0000-0003-4849-9536 Waterloo U. Waterloo U., Math. Dept. Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada Waterloo Centre for Astrophysics, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada Bañados, E. ORCID:0000-0002-2931-7824 Heidelberg, Max Planck Inst. Astron. Max-Planck-Institut für Astronomie, Königstuhl 17, 69117 Heidelberg, Germany Barbier, R. IP2I, Lyon Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, F-69100, France Bardelli, S. ORCID:0000-0002-8900-0298 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Baron, M. Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, F-69100, France Barreiro, T. ORCID:0000-0001-8542-2066 Lisbon U. Belgrade, Inst. Phys. Instituto de Astrofísica e Ciências do Espaço, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal ECEO, Universidade Lusófona, Campo Grande 376, 1749-024 Lisboa, Portugal Barrena, R. Instituto de Astrofí sica de Canarias, c/ Via Lactea s/n, La Laguna E-38200, Spain. Departamento de Astrofí sica de la Universidad de La Laguna, Avda. Francisco Sanchez, La Laguna, E-38200, Spain Barriere, J.-C. IRFU, Saclay CEA-Saclay, DRF/IRFU, departement d'ingenierie des systemes, bat472, 91191 Gif sur Yvette cedex, France Barros, B.J. ORCID:0000-0002-2335-0703 Lisbon U. Instituto de Astrofísica e Ciências do Espaço, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal Barthelemy, A. ORCID:0000-0003-1060-3959 Munich U. Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Bartolo, N. INFN, Padua Padua U. Padua Observ. Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy INFN-Padova, Via Marzolo 8, 35131 Padova, Italy INAF-Osservatorio Astronomico di Padova, Via dell'Osservatorio 5, 35122 Padova, Italy Basset, A. CNES, Toulouse Centre National d'Etudes Spatiales -- Centre spatial de Toulouse, 18 avenue Edouard Belin, 31401 Toulouse Cedex 9, France Battaglia, P. ORCID:0000-0002-7337-5909 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Battisti, A.J. ORCID:0000-0003-4569-2285 Res. Sch. Astron. Astrophys., Weston Creek Swinburne U. Tech., Hawthorn Massachusetts U., Amherst Research School of Astronomy and Astrophysics, Australian National University, Cotter Road, Weston Creek, ACT 2611, Australia ARC Centre of Excellence for All Sky Astrophysics in 3 Dimensions Department of Astronomy, University of Massachusetts, Amherst, MA 01003, USA Baugh, C.M. ORCID:0000-0002-9935-9755 Durham U., ICC Department of Physics, Institute for Computational Cosmology, Durham University, South Road, DH1 3LE, UK Baumont, L. ORCID:0000-0002-1518-0150 AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Bazzanini, L. ORCID:0000-0003-0727-0137 Ferrara U. Bologna Observ. Dipartimento di Fisica e Scienze della Terra, Università degli Studi di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Beaulieu, J.-P. Paris U. VI, GRECO Tasmania U. Institut d'Astrophysique de Paris, 98bis Boulevard Arago, 75014, Paris, France School of Natural Sciences, University of Tasmania, Private Bag 37 Hobart, Tasmania 7001, Australia Beckmann, V. ORCID:0000-0002-2778-8569 Paris, IN2P3 Institut national de physique nucléaire et de physique des particules, 3 rue Michel-Ange, 75794 Paris Cédex 16, France Belikov, A.N. Kapteyn Astron. Inst., Groningen ESTEC, Noordwijk Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands ATG Europe BV, Huygensstraat 34, 2201 DK Noordwijk, The Netherlands Bel, J. Marseille, CPT Aix-Marseille Université, Université de Toulon, CNRS, CPT, Marseille, France Bellagamba, F. U. Bologna, DIFA Bologna Observ. Dipartimento di Fisica e Astronomia, Università di Bologna, Via Gobetti 93/2, 40129 Bologna, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Bella, M. ORCID:0000-0002-6406-4789 IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie Bellini, E. SISSA, Trieste IFPU, Trieste INFN, Trieste Trieste Observ. SISSA, International School for Advanced Studies, Via Bonomea 265, 34136 Trieste TS, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy Benabed, K. Paris, Inst. Astrophys. Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France Bender, R. ORCID:0000-0001-7179-0626 Garching, Max Planck Inst., MPE Munich U. Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Benevento, G. ORCID:0000-0002-6999-2429 INFN, Rome2 INFN, Sezione di Roma 2, Via della Ricerca Scientifica 1, Roma, Italy Bennett, C.L. ORCID:0000-0001-8839-7206 Johns Hopkins U. Johns Hopkins University 3400 North Charles Street Baltimore, MD 21218, USA Benson, K. Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Bergamini, P. ORCID:0000-0003-1383-9414 Milan U. Bologna Observ. Dipartimento di Fisica "Aldo Pontremoli", Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Bermejo-Climent, J.R. IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias, Calle Vía Láctea s/n, 38204, San Cristóbal de La Laguna, Tenerife, Spain Departamento de Astrofísica, Universidad de La Laguna, 38206, La Laguna, Tenerife, Spain Bernardeau, F. IPhT, Saclay Paris, Inst. Astrophys. Institut de Physique Théorique, CEA, CNRS, Université Paris-Saclay 91191 Gif-sur-Yvette Cedex, France Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France Bertacca, D. ORCID:0000-0002-2490-7139 INFN, Padua Padua U. Padua Observ. Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy INAF-Osservatorio Astronomico di Padova, Via dell'Osservatorio 5, 35122 Padova, Italy INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Berthe, M. AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Berthier, J. ORCID:0000-0003-1846-6485 IMCCE, Paris IMCCE, Observatoire de Paris, Université PSL, CNRS, Sorbonne Université, Univ. Lille, 77 av. Denfert-Rochereau, 75014 Paris, France Bethermin, M. ORCID:0000-0002-3915-2015 Strasbourg Observ. Marseille, Lab. Astrophys. Université de Strasbourg, CNRS, Observatoire astronomique de Strasbourg, UMR 7550, 67000 Strasbourg, France Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Beutler, F. ORCID:0000-0003-0467-5438 Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Bevillon, C. Astrium GmbH, Friedrichshafen Airbus Defence \& Space SAS, Toulouse, France Bhargava, S. ORCID:0000-0003-3851-7219 Cote d'Azur Observ., Nice OCA, P.H.C Boulevard de l'Observatoire CS 34229, 06304 Nice Cedex 4, France Bhatawdekar, R. ORCID:0000-0003-0883-2226 ESA, Madrid ESAC/ESA, Camino Bajo del Castillo, s/n., Urb. Villafranca del Castillo, 28692 Villanueva de la Cañada, Madrid, Spain Bianchi, D. Dipartimento di Fisica "Aldo Pontremoli", Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy Bisigello, L. ORCID:0000-0003-0492-4924 Bologna, Ist. Radioastronomia INFN, Padua Padua U. INAF, Istituto di Radioastronomia, Via Piero Gobetti 101, 40129 Bologna, Italy Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy Biviano, A. ORCID:0000-0002-0857-0732 Trieste Observ. SISSA, Trieste IFPU, Trieste INFN, Trieste INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy Blake, R.P. Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Blanchard, A. ORCID:0000-0001-8555-9003 IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie Blazek, J. ORCID:0000-0002-4687-4657 Northeastern U. Department of Physics, Northeastern University, Boston, MA, 02115, USA Blot, L. ORCID:0000-0002-9622-7167 Tokyo U., IPMU LUTH, Meudon Kavli Institute for the Physics and Mathematics of the Universe Laboratoire Univers et Théorie, Observatoire de Paris, Université PSL, Université Paris Cité, CNRS, 92190 Meudon, France Bosco, A. Thales Alenia Space Italia, Turin Thales Alenia Space - Euclid satellite Prime contractor,Strada Antica di Collegno 253,10146 Torino,Italy Bodendorf, C. Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Boenke, T. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Böhringer, H. ORCID:0000-0001-8241-4204 Garching, Max Planck Inst., MPE Munich U. Garching, Max Planck Inst. Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Ludwig-Maximilians-University, Schellingstrasse 4, 80799 Munich, Germany Max-Planck-Institut für Physik, Boltzmannstr. 8, 85748 Garching, Germany Boldrini, P. Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France Bolzonella, M. ORCID:0000-0003-3278-4607 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Bonchi, A. ORCID:0000-0002-2667-5482 ASI, Rome Space Science Data Center, Italian Space Agency, via del Politecnico snc, 00133 Roma, Italy Bonici, M. ORCID:0000-0002-8430-126X IASF, Milan Waterloo U., Math. Dept. Perimeter Inst. Theor. Phys. INAF-IASF Milano, Via Alfonso Corti 12, 20133 Milano, Italy Waterloo Centre for Astrophysics, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada Perimeter Institute for Theoretical Physics, Waterloo, Ontario N2L 2Y5, Canada Bonino, D. ORCID:0000-0002-3336-9977 Turin Observ. INAF-Osservatorio Astrofisico di Torino, Via Osservatorio 20, 10025 Pino Torinese Bonino, L. Thales Alenia Space Italia, Turin Thales Alenia Space -- Euclid satellite Prime contractor, Strada Antica di Collegno 253, 10146 Torino, Italy Bonvin, C. ORCID:0000-0002-5318-4064 Geneva U. Université de Genève, Département de Physique Théorique and Centre for Astroparticle Physics, 24 quai Ernest-Ansermet, CH-1211 Genève 4, Switzerland Bon, W. Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Booth, J.T. Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA Borgani, S. ORCID:0000-0001-6151-6439 Trieste U. SISSA, Trieste IFPU, Trieste INFN, Trieste Trieste Observ. Dipartimento di Fisica - Sezione di Astronomia, Università di Trieste, Via Tiepolo 11, 34131 Trieste, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy Borlaff, A.S. ORCID:0000-0003-3249-4431 NASA, Ames NASA Ames Research Center, Moffett Field, CA 94035, USA Bay Area Environmental Research Institute, Moffett Field, California 94035, USA Borsato, E. INFN, Padua Padua U. Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Bosco, A. Paris, Inst. Astrophys. Thales Alenia Space Italia, Turin Institut d'Astrophysique de Paris,UMR 7095,CNRS,and Sorbonne Université,98 bis boulevard Arago,75014 Paris,France Thales Alenia Space - Euclid satellite Prime contractor,Strada Antica di Collegno 253,10146 Torino,Italy Bose, B. ORCID:0000-0003-1965-8614 Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Botticella, M.T. ORCID:0000-0002-3938-692X Capodimonte Observ. INAF-Osservatorio Astronomico di Capodimonte, Via Moiariello 16, 80131 Napoli, Italy Boucaud, A. ORCID:0000-0001-7387-2633 APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, 75013 Paris, France Bouche, F. ORCID:0000-0002-4663-1786 SSM, Naples INFN, Naples Scuola Superiore Meridionale, Via Mezzocannone 4, 80138, Napoli, Italy INFN section of Naples, Via Cinthia 6, 80126, Napoli, Italy Boucher, J.S. Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Boutigny, D. ORCID:0000-0003-4887-2150 Annecy, LAPP Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LAPP, 74000 Annecy, France Bouvard, T. ORCID:0009-0002-7959-312X Unlisted, FR Thales Services S.A.S., 290 Allée du Lac, 31670 Labège, France Bouwens, R. Leiden Observatory, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands Bouy, H. ORCID:0000-0002-7084-487X LAB, Bordeaux IUF, Paris Laboratoire d'Astrophysique de Bordeaux, CNRS and Université de Bordeaux, Allée Geoffroy St. Hilaire, 33165 Pessac, France Institut universitaire de France Bowler, R.A.A. ORCID:0000-0003-3917-1678 Jodrell Bank Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, UK Bozza, V. ORCID:0000-0003-4590-0136 Salerno U. Universita di Salerno, Dipartimento di Fisica "E.R. Caianiello", Via Giovanni Paolo II 132, I-84084 Fisciano INFN -- Gruppo Collegato di Salerno - Sezione di Napoli, Dipartimento di Fisica "E.R. Caianiello", Universita di Salerno, via Giovanni Paolo II, 132 - I-84084 Fisciano Bozzo, E. ORCID:0000-0002-8201-1525 U. Geneva (main) Department of Astronomy, University of Geneva, ch. d'Ecogia 16, 1290 Versoix, Switzerland Branchini, E. ORCID:0000-0002-0808-6908 Genoa U. MIT, Cambridge, Dept. Phys. INFN, Genoa Brera Observ. Dipartimento di Fisica, Università di Genova, Via Dodecaneso 33, 16146, Genova, Italy INFN-Sezione di Genova, Via Dodecaneso 33, 16146, Genova, Italy INAF-Osservatorio Astronomico di Brera, Via Brera 28, 20122 Milano, Italy Brando, G. Max Planck Institute for Gravitational Physics Brau-Nogue, S. IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie Brekke, P. Norwegian U. Sci. Tech. Norwegian Space Agency, Drammensveien 165, 0277 Oslo, Norway Bremer, M.N. Bristol U. School of Physics, HH Wills Physics Laboratory, University of Bristol, Tyndall Avenue, Bristol, BS8 1TL, UK Brescia, M. ORCID:0000-0001-9506-5680 Naples U. INFN, Naples Capodimonte Observ. Department of Physics "E. Pancini", University Federico II, Via Cinthia 6, 80126, Napoli, Italy INAF-Osservatorio Astronomico di Capodimonte, Via Moiariello 16, 80131 Napoli, Italy INFN section of Naples, Via Cinthia 6, 80126, Napoli, Italy Breton, M.-A. Barcelona, IEEC ICE, Bellaterra LUTH, Meudon Institute of Space Sciences Institut de Ciencies de l'Espai Laboratoire Univers et Théorie, Observatoire de Paris, Université PSL, Université Paris Cité, CNRS, 92190 Meudon, France Brinchmann, J. ORCID:0000-0003-4359-8797 Porto U. Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto, CAUP, Rua das Estrelas, PT4150-762 Porto, Portugal Brinckmann, T. ORCID:0000-0002-1492-5181 Ferrara U. INFN, Ferrara Dipartimento di Fisica e Scienze della Terra, Università degli Studi di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy Istituto Nazionale di Fisica Nucleare, Sezione di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy Brockley-Blatt, C. Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Brodwin, M. Missouri U., Kansas City Department of Physics and Astronomy, University of Missouri, 5110 Rockhill Road, Kansas City, MO 64110, USA Brouard, L. Astrium GmbH, Friedrichshafen Airbus Defence \& Space SAS, Toulouse, France Brown, M.L. ORCID:0000-0002-0370-8077 Jodrell Bank Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, UK Bruton, S. ORCID:0000-0002-6503-5218 Minnesota U. Minnesota Institute for Astrophysics, University of Minnesota, 116 Church St SE, Minneapolis, MN 55455, USA Bucko, J. ORCID:0000-0002-1662-1042 Zurich U. ETH, Zurich (main) Department of Astrophysics, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland Institute for Particle Physics and Astrophysics, Dept. of Physics, ETH Zurich, Wolfgang-Pauli-Strasse 27, 8093 Zurich, Switzerland Buddelmeijer, H. ORCID:0000-0001-8001-0089 Kapteyn Astron. Inst., Groningen Leiden Observ. Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands Leiden Observatory, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands Buenadicha, G. ESA, Madrid ESAC/ESA, Camino Bajo del Castillo, s/n., Urb. Villafranca del Castillo, 28692 Villanueva de la Cañada, Madrid, Spain Buitrago, F. ORCID:0000-0002-2861-9812 Valladolid U. Lisbon Astron. Observ. Departamento de Física Teórica, Atómica y Óptica, Universidad de Valladolid, 47011 Valladolid, Spain Instituto de Astrofísica e Ciências do Espaço, Faculdade de Ciências, Universidade de Lisboa, Tapada da Ajuda, 1349-018 Lisboa, Portugal Burger, P. ORCID:0000-0001-8637-6305 Argelander Inst. Astron. Waterloo U., Math. Dept. Universität Bonn, Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany Waterloo Centre for Astrophysics, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada Burigana, C. ORCID:0000-0002-3005-5796 Bologna, Ist. Radioastronomia INFN, Bologna INAF, Istituto di Radioastronomia, Via Piero Gobetti 101, 40129 Bologna, Italy INFN-Bologna, Via Irnerio 46, 40126 Bologna, Italy Busillo, V. ORCID:0009-0000-6049-1073 Capodimonte Observ. Naples U. INFN, Naples INAF-Osservatorio Astronomico di Capodimonte, Via Moiariello 16, 80131 Napoli, Italy Department of Physics "E. Pancini", University Federico II, Via Cinthia 6, 80126, Napoli, Italy INFN section of Naples, Via Cinthia 6, 80126, Napoli, Italy Busonero, D. ORCID:0000-0002-3903-7076 Turin Observ. INAF-Osservatorio Astrofisico di Torino, Via Osservatorio 20, 10025 Pino Torinese Cabanac, R. ORCID:0000-0001-6679-2600 IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie Cabayol-Garcia, L. ORCID:0000-0002-9498-2572 Barcelona, IFAE Institut de Física d'Altes Energies Port d'Informació Científica, Campus UAB, C. Albareda s/n, 08193 Bellaterra Cagliari, M.S. ORCID:0000-0002-2912-9233 Milan U. Dipartimento di Fisica "Aldo Pontremoli", Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy Caillat, A. Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Caillat, L. Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Calabrese, M. ORCID:0000-0002-2637-2422 UTRGV IASF, Milan Astronomical Observatory of the Autonomous Region of the Aosta Valley INAF-IASF Milano, Via Alfonso Corti 12, 20133 Milano, Italy Calabro, A. ORCID:0000-0003-2536-1614 Rome Observ. INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Calderone, G. ORCID:0000-0002-7738-5389 Trieste Observ. INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Calura, F. ORCID:0000-0002-6175-0871 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Camacho Quevedo, B. ORCID:0000-0002-8789-4232 Barcelona, IEEC Institut d'Estudis Espacials de Catalunya Institute of Space Sciences Camera, S. ORCID:0000-0003-3399-3574 Turin U. INFN, Turin Turin Observ. Dipartimento di Fisica, Università degli Studi di Torino, Via P. Giuria 1, 10125 Torino, Italy INFN-Sezione di Torino, Via P. Giuria 1, 10125 Torino, Italy INAF-Osservatorio Astrofisico di Torino, Via Osservatorio 20, 10025 Pino Torinese Campos, L. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Canas-Herrera, G. ORCID:0000-0003-2796-2149 ESTEC, Noordwijk Leiden U. European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Institute Lorentz, Leiden University, Niels Bohrweg 2, 2333 CA Leiden, The Netherlands Candini, G.P. ORCID:0000-0001-9481-8206 Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Cantiello, M. ORCID:0000-0003-2072-384X Rome Observ. INAF - Osservatorio Astronomico d'Abruzzo, Via Maggini, 64100, Teramo, Italy Capobianco, V. ORCID:0000-0002-3309-7692 Turin Observ. INAF-Osservatorio Astrofisico di Torino, Via Osservatorio 20, 10025 Pino Torinese Cappellaro, E. ORCID:0000-0001-5008-8619 Padua Observ. INAF-Osservatorio Astronomico di Padova, Via dell'Osservatorio 5, 35122 Padova, Italy Cappelluti, N. ORCID:0000-0002-1697-186X Miami U. Department of Physics, University of Miami, Coral Gables, FL 33124, USA Cappi, A. Bologna Observ. OCA, Nice, Lab. Lagrange INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Université Côte d'Azur, Observatoire de la Côte d'Azur, CNRS, Laboratoire Lagrange, Bd de l'Observatoire, CS 34229, 06304 Nice cedex 4, France Caputi, K.I. ORCID:0000-0001-8183-1460 Kapteyn Astron. Inst., Groningen DARK Cosmology Ctr. Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands Cosmic Dawn Center Cara, C. AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Carbone, C. ORCID:0000-0003-0125-3563 IASF, Milan INAF-IASF Milano, Via Alfonso Corti 12, 20133 Milano, Italy Cardone, V.F. Rome Observ. Rome U. INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy INFN-Sezione di Roma, Piazzale Aldo Moro, 2 - c/o Dipartimento di Fisica, Edificio G. Marconi, 00185 Roma, Italy Carella, E. IASF, Milan Milan U. INAF-IASF Milano, Via Alfonso Corti 12, 20133 Milano, Italy Dipartimento di Fisica "Aldo Pontremoli", Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy Carlberg, R.G. Toronto U., Astron. Dept. David A. Dunlap Department of Astronomy \& Astrophysics, University of Toronto, 50 St George Street, Toronto, Ontario M5S 3H4, Canada Carle, M. Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Carminati, L. Astrium GmbH, Friedrichshafen Airbus Defence \& Space SAS, Toulouse, France Caro, F. Rome Observ. INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Carrasco, J.M. ORCID:0000-0002-3029-5853 Barcelona, IEEC ICC, Barcelona U. U. Barcelona (main) Institut de Ciències del Cosmos Departament de Física Quàntica i Astrofísica Institut d'Estudis Espacials de Catalunya Carretero, J. ORCID:0000-0002-3130-0204 Madrid, CIEMAT Barcelona, IFAE Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas Port d'Informació Científica, Campus UAB, C. Albareda s/n, 08193 Bellaterra Carrilho, P. ORCID:0000-0003-1339-0194 Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Carron Duque, J. ORCID:0000-0003-4554-395X Madrid, IFT Instituto de Física Teórica UAM-CSIC, Campus de Cantoblanco, 28049 Madrid, Spain Carry, B. ORCID:0000-0001-5242-3089 OCA, Nice, Lab. Lagrange Université Côte d'Azur, Observatoire de la Côte d'Azur, CNRS, Laboratoire Lagrange, Bd de l'Observatoire, CS 34229, 06304 Nice cedex 4, France Carvalho, A. ORCID:0000-0002-9301-262X Lisbon U. Departamento de Física, Faculdade de Ciências, Universidade de Lisboa, Edifício C8, Campo Grande, PT1749-016 Lisboa, Portugal Instituto de Astrofísica e Ciências do Espaço, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal Carvalho, C.S. Lisbon Astron. Observ. Instituto de Astrofísica e Ciências do Espaço, Faculdade de Ciências, Universidade de Lisboa, Tapada da Ajuda, 1349-018 Lisboa, Portugal Casas, R. ORCID:0000-0002-8165-5601 Barcelona, IEEC Institut d'Estudis Espacials de Catalunya Institute of Space Sciences Casas, S. ORCID:0000-0002-4751-5138 Unlisted, GE Institute for Theoretical Particle Physics and Cosmology Casenove, P. CNES, Toulouse Centre National d'Etudes Spatiales -- Centre spatial de Toulouse, 18 avenue Edouard Belin, 31401 Toulouse Cedex 9, France Casey, C.M. ORCID:0000-0002-0930-6466 Texas U. Bohr Inst. The University of Texas at Austin, Austin, TX, 78712, USA Cosmic Dawn Center Cassata, P. ORCID:0000-0002-6716-4400 INFN, Padua Padua U. Padua Observ. Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy INAF-Osservatorio Astronomico di Padova, Via dell'Osservatorio 5, 35122 Padova, Italy Castander, F.J. ORCID:0000-0001-7316-4573 Barcelona, IEEC Institute of Space Sciences Institut d'Estudis Espacials de Catalunya Castelao, D. Lisbon U. Instituto de Astrofísica e Ciências do Espaço, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal Castellano, M. ORCID:0000-0001-9875-8263 Rome Observ. INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Castiblanco, L. ORCID:0000-0002-2324-7335 Newcastle U., United Kingdom Bielefeld U. School of Mathematics, Statistics and Physics, Newcastle University, Herschel Building, Newcastle-upon-Tyne, NE1 7RU, UK Fakultät für Physik, Universität Bielefeld, Postfach 100131, 33501 Bielefeld, Germany Castignani, G. ORCID:0000-0001-6831-0687 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Castro, T. ORCID:0000-0002-6292-3228 Trieste Observ. INFN, Trieste SISSA, Trieste IFPU, Trieste Salento U. INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy ICSC - Centro Nazionale di Ricerca in High Performance Computing, Big Data e Quantum Computing, Via Magnanelli 2, Bologna, Italy Cavet, C. ORCID:0000-0001-8988-9800 APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, 75013 Paris, France Cavuoti, S. ORCID:0000-0002-3787-4196 Capodimonte Observ. INFN, Naples INAF-Osservatorio Astronomico di Capodimonte, Via Moiariello 16, 80131 Napoli, Italy INFN section of Naples, Via Cinthia 6, 80126, Napoli, Italy Chabaud, P.-Y. Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Chambers, K.C. ORCID:0000-0001-6965-7789 Inst. Astron., Honolulu Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822, USA Charles, Y. Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Charlot, S. ORCID:0000-0003-3458-2275 Paris, Inst. Astrophys. Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France Chartab, N. ORCID:0000-0003-3691-937X Carnegie Inst. Observ. Caltech Carnegie Observatories, Pasadena, CA 91101, USA Chary, R. ORCID:0000-0001-7583-0621 Caltech Infrared Processing and Analysis Center, California Institute of Technology, Pasadena, CA 91125, USA Chaumeil, F. Astrium GmbH, Friedrichshafen Airbus Defence \& Space SAS, Toulouse, France Cho, H. Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA Chon, G. Munich U. Garching, Max Planck Inst. Ludwig-Maximilians-University, Schellingstrasse 4, 80799 Munich, Germany Max-Planck-Institut für Physik, Boltzmannstr. 8, 85748 Garching, Germany Ciancetta, E. ORCID:0000-0002-5470-8405 Thales Alenia Space Italia, Turin Thales Alenia Space -- Euclid satellite Prime contractor, Strada Antica di Collegno 253, 10146 Torino, Italy Ciliegi, P. Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Cimatti, A. Bologna U. Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Cimino, M. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Cioni, M.-R.L. ORCID:0000-0002-6797-696X Potsdam, Astrophys. Inst. Leibniz-Institut für Astrophysik Claydon, R. ORCID:0000-0003-2117-7895 Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Cleland, C. APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, 75013 Paris, France Clément, B. ORCID:0000-0002-7966-3661 LASTRO Observ. Ecole Polytechnique, Lausanne Institute of Physics, Laboratory of Astrophysics, Ecole Polytechnique Fédérale de Lausanne SCITAS, Ecole Polytechnique Fédérale de Lausanne Clements, D.L. ORCID:0000-0002-9548-5033 Imperial Coll., London Astrophysics Group,Blackett Laboratory,Imperial College London,London SW7 2AZ,UK Clerc, N. ORCID:0000-0002-0296-1011 IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie Clesse, S. ORCID:0000-0001-5079-1785 Brussels U. Université Libre de Bruxelles Codis, S. AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Cogato, F. ORCID:0000-0003-4632-6113 U. Bologna, DIFA Bologna Observ. Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, via Piero Gobetti 93/2, 40129 Bologna, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Colbert, J. ORCID:0000-0001-6482-3020 Caltech Infrared Processing and Analysis Center, California Institute of Technology, Pasadena, CA 91125, USA Cole, R.E. ORCID:0000-0002-7093-7320 Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Coles, P. ORCID:0000-0002-5535-2850 NUIM, Maynooth (main) Department of Theoretical Physics, Maynooth University, Maynooth, Co. Kildare, Ireland Collett, T.E. ORCID:0000-0001-5564-3140 Portsmouth U., ICG Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK Collins, R.S. ORCID:0000-0001-8437-1703 Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Colodro-Conde, C. IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias, Calle Vía Láctea s/n, 38204, San Cristóbal de La Laguna, Tenerife, Spain Colombo, C. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Combes, F. ORCID:0000-0003-2658-7893 College de France LERMA, Ivry Collége de France, 11 Place Marcelin Berthelot, 75231 Paris, France Sorbonne Université, Observatoire de Paris, Université PSL, CNRS, LERMA, 75014, Paris, France Conforti, V. ORCID:0000-0002-0007-3520 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Congedo, G. ORCID:0000-0003-2508-0046 Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Conseil, S. ORCID:0000-0002-3657-4191 IP2I, Lyon Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, F-69100, France Conselice, C.J. ORCID:0000-0003-1949-7638 Jodrell Bank Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, UK Contarini, S. ORCID:0000-0002-9843-723X Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Contini, T. ORCID:0000-0003-0275-938X IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie Conversi, L. ORCID:0000-0002-6710-8476 ESRIN, Frascati ESA, Madrid European Space Agency/ESRIN, Largo Galileo Galilei 1, 00044 Frascati, Roma, Italy ESAC/ESA, Camino Bajo del Castillo, s/n., Urb. Villafranca del Castillo, 28692 Villanueva de la Cañada, Madrid, Spain Cooray, A.R. ORCID:0000-0002-3892-0190 UC, Irvine Department of Physics \& Astronomy, University of California Irvine, Irvine CA 92697, USA Copin, Y. ORCID:0000-0002-5317-7518 IP2I, Lyon Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, F-69100, France Corasaniti, P.-S. ORCID:0000-0002-6386-7846 LUTH, Meudon Laboratoire Univers et Théorie, Observatoire de Paris, Université PSL, Université Paris Cité, CNRS, 92190 Meudon, France Corcho-Caballero, P. ORCID:0000-0001-6327-7080 Kapteyn Astron. Inst., Groningen Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands Corcione, L. ORCID:0000-0002-6497-5881 Turin Observ. INAF-Osservatorio Astrofisico di Torino, Via Osservatorio 20, 10025 Pino Torinese Cordes, O. Argelander Inst. Astron. Universität Bonn, Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany Corpace, O. IRFU, Saclay CEA-Saclay, DRF/IRFU, departement d'ingenierie des systemes, bat472, 91191 Gif sur Yvette cedex, France Correnti, M. ORCID:0000-0001-6464-3257 Rome Observ. ASI, Rome INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Space Science Data Center, Italian Space Agency, via del Politecnico snc, 00133 Roma, Italy Costanzi, M. ORCID:0000-0001-8158-1449 Trieste U. Trieste Observ. SISSA, Trieste IFPU, Trieste INFN, Trieste Dipartimento di Fisica - Sezione di Astronomia, Università di Trieste, Via Tiepolo 11, 34131 Trieste, Italy INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy Costille, A. Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Courbin, F. ORCID:0000-0003-0758-6510 LASTRO Observ. Institute of Physics, Laboratory of Astrophysics, Ecole Polytechnique Fédérale de Lausanne Mifsud, L. Courcoult Astrium GmbH, Friedrichshafen Airbus Defence \& Space SAS, Toulouse, France Courtois, H.M. ORCID:0000-0003-0509-1776 IP2I, Lyon UCB Lyon 1, CNRS/IN2P3, IUF, IP2I Lyon, 4 rue Enrico Fermi, 69622 Villeurbanne, France Cousinou, M.-C. Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Covone, G. ORCID:0000-0002-2553-096X Naples U. INFN, Naples Capodimonte Observ. Department of Physics "E. Pancini", University Federico II, Via Cinthia 6, 80126, Napoli, Italy INAF-Osservatorio Astronomico di Capodimonte, Via Moiariello 16, 80131 Napoli, Italy INFN section of Naples, Via Cinthia 6, 80126, Napoli, Italy Cowell, T. ESOC, Darmstadt European Space Agency/ESOC, Robert-Bosch-Str. 5, 64293 Darmstadt, Germany Cragg, C. Oxford U. Department of Physics, Oxford University, Keble Road, Oxford OX1 3RH, UK Cresci, G. ORCID:0000-0002-5281-1417 Trieste Observ. INAF-Osservatorio Astrofisico di Arcetri, Largo E. Fermi 5, 50125, Firenze, Italy Cristiani, S. ORCID:0000-0002-2115-5234 Trieste Observ. INFN, Trieste SISSA, Trieste IFPU, Trieste INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy Crocce, M. ORCID:0000-0002-9745-6228 Barcelona, IEEC ICE, Bellaterra Institute of Space Sciences Institut de Ciencies de l'Espai Cropper, M. ORCID:0000-0003-4571-9468 Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Crouzet, P.E. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Csizi, B. ORCID:0000-0003-3227-6581 Innsbruck U. Universität Innsbruck, Institut für Astro- und Teilchenphysik, Technikerstr. 25/8, 6020 Innsbruck, Austria Cuby, J.-G. ORCID:0000-0002-8767-1442 Keck Observ. Marseille, Lab. Astrophys. Canada-France-Hawaii Telescope, 65-1238 Mamalahoa Hwy, Kamuela, HI 96743, USA Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Cucchetti, E. ORCID:0000-0002-5548-4351 CNES, Toulouse Centre National d'Etudes Spatiales -- Centre spatial de Toulouse, 18 avenue Edouard Belin, 31401 Toulouse Cedex 9, France Cucciati, O. ORCID:0000-0002-9336-7551 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Cuillandre, J.-C. ORCID:0000-0002-3263-8645 AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Cunha, P.A.C. ORCID:0000-0002-9454-859X Porto U. Faculdade de Ciências da Universidade do Porto, Rua do Campo de Alegre, 4150-007 Porto, Portugal Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto, CAUP, Rua das Estrelas, PT4150-762 Porto, Portugal Cuozzo, V. Rome U., Tor Vergata INFN, Rome INFN, Rome2 Dipartimento di Fisica, Università di Roma Tor Vergata, Via della Ricerca Scientifica 1, Roma, Italy INFN, Sezione di Roma 2, Via della Ricerca Scientifica 1, Roma, Italy Daddi, E. ORCID:0000-0002-3331-9590 AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France D'Addona, M. ORCID:0000-0003-3445-0483 Capodimonte Observ. Salerno U. INAF-Osservatorio Astronomico di Capodimonte, Via Moiariello 16, 80131 Napoli, Italy Universita di Salerno, Dipartimento di Fisica "E.R. Caianiello", Via Giovanni Paolo II 132, I-84084 Fisciano Dafonte, C. ORCID:0000-0003-4693-7555 La Coruna U. CIGUS CITIC, Centre for Information and Communications Technologies Research, Universidade da Coruña, Campus de Elviña s/n, 15071 A Coruña, Spain Dagoneau, N. ORCID:0000-0002-1361-2562 Saclay Université Paris-Saclay, CEA, Département d'Électronique des Détecteurs et d'Informatique pour la Physique, 91191, Gif-sur-Yvette, France Dalessandro, E. ORCID:0000-0003-4237-4601 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Dalton, G.B. ORCID:0000-0002-3031-2588 Oxford U. Department of Physics, Oxford University, Keble Road, Oxford OX1 3RH, UK D'Amico, G. ORCID:0000-0002-8183-1214 ICJ, Lyon Parma U. INFN, Parma Dipartimento di Scienze Matematiche, Fisiche e Informatiche, Università di Parma, Viale delle Scienze 7/A 43124 Parma, Italy INFN Gruppo Collegato di Parma, Viale delle Scienze 7/A 43124 Parma, Italy Dannerbauer, H. ORCID:0000-0001-7147-3575 Laguna U., Tenerife Instituto de Astrofísica de Canarias Danto, P. CNES, Toulouse Centre National d'Etudes Spatiales -- Centre spatial de Toulouse, 18 avenue Edouard Belin, 31401 Toulouse Cedex 9, France Das, I. ORCID:0009-0007-7088-2044 Caltech Caltech/IPAC, 1200 E. California Blvd., Pasadena, CA 91125, USA Da Silva, A. ORCID:0000-0002-6385-1609 Lisbon U. Departamento de Física, Faculdade de Ciências, Universidade de Lisboa, Edifício C8, Campo Grande, PT1749-016 Lisboa, Portugal Instituto de Astrofísica e Ciências do Espaço, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal da Silva, R. ORCID:0000-0003-4788-677X Rome Observ. ASI, Rome INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Space Science Data Center, Italian Space Agency, via del Politecnico snc, 00133 Roma, Italy Doumerg, W. d'Assignies Institut de Física d'Altes Energies Daste, G. Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Davies, J.E. ORCID:0000-0002-5079-9098 Heidelberg, Max Planck Inst. Astron. Max-Planck-Institut für Astronomie, Königstuhl 17, 69117 Heidelberg, Germany Davini, S. ORCID:0000-0003-3269-1718 MIT, Cambridge, Dept. Phys. INFN, Genoa INFN-Sezione di Genova, Via Dodecaneso 33, 16146, Genova, Italy Dayal, P. Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands de Boer, T. ORCID:0000-0001-5486-2747 Inst. Astron., Honolulu Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822, USA Decarli, R. ORCID:0000-0002-2662-8803 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy De Caro, B. IASF, Milan INAF-IASF Milano, Via Alfonso Corti 12, 20133 Milano, Italy Degaudenzi, H. ORCID:0000-0002-5887-6799 U. Geneva (main) Department of Astronomy, University of Geneva, ch. d'Ecogia 16, 1290 Versoix, Switzerland Degni, G. ORCID:0009-0001-4912-1087 INFN, Rome3 Department of Mathematics and Physics, Roma Tre University, Via della Vasca Navale 84, 00146 Rome, Italy INFN-Sezione di Roma Tre, Via della Vasca Navale 84, 00146, Roma, Italy de Jong, J.T.A. ORCID:0000-0002-9511-1357 Leiden Observ. Kapteyn Astron. Inst., Groningen Leiden Observatory, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands de la Bella, L.F. ORCID:0000-0002-1064-3400 Portsmouth U., ICG Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK de la Torre, S. Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Delhaise, F. ESOC, Darmstadt European Space Agency/ESOC, Robert-Bosch-Str. 5, 64293 Darmstadt, Germany Delley, D. ORCID:0000-0002-4958-7469 Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Delucchi, G. Genoa U. MIT, Cambridge, Dept. Phys. INFN, Genoa Dipartimento di Fisica, Università di Genova, Via Dodecaneso 33, 16146, Genova, Italy INFN-Sezione di Genova, Via Dodecaneso 33, 16146, Genova, Italy De Lucia, G. ORCID:0000-0002-6220-9104 Trieste Observ. INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Denniston, J. Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK De Paolis, F. ORCID:0000-0001-6460-7563 Salento U. INFN, Lecce Department of Mathematics and Physics E. De Giorgi, University of Salento, Via per Arnesano, CP-I93, 73100, Lecce, Italy INFN, Sezione di Lecce, Via per Arnesano, CP-193, 73100, Lecce, Italy INAF-Sezione di Lecce, c/o Dipartimento Matematica e Fisica, Via per Arnesano, 73100, Lecce, Italy De Petris, M. ORCID:0000-0001-7859-2139 Rome U. Rome Observ. Dipartimento di Fisica, Sapienza Università di Roma, Piazzale Aldo Moro 2, 00185 Roma, Italy INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Derosa, A. Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Desai, S. ORCID:0000-0002-0466-3288 Indian Inst. Tech., Hyderabad Dept. of Physics, IIT Hyderabad, Kandi, Telangana 502285, India Desjacques, V. ORCID:0000-0003-2062-8172 Technion Technion Israel Institute of Technology, Israel Despali, G. ORCID:0000-0001-6150-4112 U. Bologna, DIFA Bologna Observ. INFN, Bologna Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, via Piero Gobetti 93/2, 40129 Bologna, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Desprez, G. St. Mary's U., Halifax Department of Astronomy \& Physics and Institute for Computational Astrophysics, Saint Mary's University, 923 Robie Street, Halifax, Nova Scotia, B3H 3C3, Canada De Vicente-Albendea, J. Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas Deville, Y. ORCID:0000-0002-8769-2446 IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie Dias, J.D.F. ORCID:0000-0002-1505-7734 Porto U., Astron. Dept. Porto U. Centro de Astrofísica da Universidade do Porto, Rua das Estrelas, 4150-762 Porto, Portugal Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto, CAUP, Rua das Estrelas, PT4150-762 Porto, Portugal Faculdade de Ciências da Universidade do Porto, Rua do Campo de Alegre, 4150-007 Porto, Portugal Díaz-Sánchez, A. ORCID:0000-0003-0748-4768 Cartagena Politecnica U. Departamento Física Aplicada, Universidad Politécnica de Cartagena, Campus Muralla del Mar, 30202 Cartagena, Murcia, Spain Diaz, J.J. Laguna U., Tenerife Instituto de Astrofísica de Canarias Di Domizio, S. ORCID:0000-0003-2863-5895 Genoa U. MIT, Cambridge, Dept. Phys. INFN, Genoa Dipartimento di Fisica, Università di Genova, Via Dodecaneso 33, 16146, Genova, Italy INFN-Sezione di Genova, Via Dodecaneso 33, 16146, Genova, Italy Diego, J.M. ORCID:0000-0001-9065-3926 Cantabria Inst. of Phys. Instituto de Física de Cantabria, Edificio Juan Jordá, Avenida de los Castros, 39005 Santander, Spain Di Ferdinando, D. INFN, Bologna INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Di Giorgio, A.M. ORCID:0000-0002-4767-2360 INAF, IAPS, Rome INAF-Istituto di Astrofisica e Planetologia Spaziali, via del Fosso del Cavaliere, 100, 00100 Roma, Italy Dimauro, P. ORCID:0000-0001-7399-2854 Rome Observ. Rio de Janeiro Observ. INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Observatorio Nacional, Rua General Jose Cristino, 77-Bairro Imperial de Sao Cristovao, Rio de Janeiro, 20921-400, Brazil Dinis, J. ORCID:0000-0001-5075-1601 Lisbon U. Departamento de Física, Faculdade de Ciências, Universidade de Lisboa, Edifício C8, Campo Grande, PT1749-016 Lisboa, Portugal Instituto de Astrofísica e Ciências do Espaço, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal Dolag, K. Munich U. Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Dolding, C. Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Dole, H. ORCID:0000-0002-9767-3839 Orsay, IAS Université Paris-Saclay, CNRS, Institut d'astrophysique spatiale, 91405, Orsay, France Domínguez Sánchez, H. ORCID:0000-0002-9013-1316 CEFCA, Teruel Centro de Estudios de Física del Cosmos de Aragón Doré, O. ORCID:0000-0001-7432-2932 Caltech Caltech, JPL California institute of Technology, 1200 E California Blvd, Pasadena, CA 91125, USA Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA Dournac, F. IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie Douspis, M. ORCID:0000-0003-4203-3954 Orsay, IAS Université Paris-Saclay, CNRS, Institut d'astrophysique spatiale, 91405, Orsay, France Dreihahn, H. ESOC, Darmstadt European Space Agency/ESOC, Robert-Bosch-Str. 5, 64293 Darmstadt, Germany Droge, B. ORCID:0000-0002-8279-868X Groningen U. Centre for Information Technology, University of Groningen, P.O. Box 11044, 9700 CA Groningen, The Netherlands Dryer, B. ORCID:0000-0001-7925-9768 Open U., England School of Physical Sciences, The Open University, Milton Keynes, MK7 6AA, UK Dubath, F. ORCID:0000-0002-6533-2810 U. Geneva (main) Department of Astronomy, University of Geneva, ch. d'Ecogia 16, 1290 Versoix, Switzerland Duc, P.-A. ORCID:0000-0003-3343-6284 Strasbourg Observ. Université de Strasbourg, CNRS, Observatoire astronomique de Strasbourg, UMR 7550, 67000 Strasbourg, France Ducret, F. Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Duffy, C. ORCID:0000-0001-6662-0200 Lancaster U. Department of Physics, Lancaster University, Lancaster, LA1 4YB, UK Dufresne, F. Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Duncan, C.A.J. Jodrell Bank Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, UK Dupac, X. ESA, Madrid ESAC/ESA, Camino Bajo del Castillo, s/n., Urb. Villafranca del Castillo, 28692 Villanueva de la Cañada, Madrid, Spain Duret, V. ORCID:0009-0009-0383-4960 Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Durrer, R. ORCID:0000-0001-9833-2086 Geneva U. Université de Genève, Département de Physique Théorique and Centre for Astroparticle Physics, 24 quai Ernest-Ansermet, CH-1211 Genève 4, Switzerland Durret, F. ORCID:0000-0002-6991-4578 Paris U. VI, GRECO Institut d'Astrophysique de Paris, 98bis Boulevard Arago, 75014, Paris, France Dusini, S. ORCID:0000-0002-1128-0664 INFN, Padua INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Ealet, A. ORCID:0000-0003-3070-014X IP2I, Lyon Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, F-69100, France Eggemeier, A. ORCID:0000-0002-1841-8910 Argelander Inst. Astron. Universität Bonn, Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany Eisenhardt, P.R.M. Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA Elbaz, D. ORCID:0000-0002-7631-647X AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Elkhashab, M.Y. ORCID:0000-0001-9306-2603 INFN, Padua Padua U. INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy Ellien, A. ORCID:0000-0002-1038-3370 Cote d'Azur Observ., Nice OCA, P.H.C Boulevard de l'Observatoire CS 34229, 06304 Nice Cedex 4, France Endicott, J. Control Data, Tallahassee XCAM Limited, 2 Stone Circle Road, Northampton, NN3 8RF, UK Enia, A. ORCID:0000-0002-0200-2857 U. Bologna, DIFA Bologna Observ. Dipartimento di Fisica e Astronomia, Università di Bologna, Via Gobetti 93/2, 40129 Bologna, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Erben, T. Argelander Inst. Astron. Universität Bonn, Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany Vigo, J.A. Escartin Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Escoffier, S. ORCID:0000-0002-2847-7498 Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Sanz, I. Escudero ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Essert, J. ESOC, Darmstadt European Space Agency/ESOC, Robert-Bosch-Str. 5, 64293 Darmstadt, Germany Ettori, S. ORCID:0000-0003-4117-8617 Bologna Observ. INFN, Bologna INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy INFN-Bologna, Via Irnerio 46, 40126 Bologna, Italy Ezziati, M. ORCID:0009-0003-6065-1585 Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Fabbian, G. ORCID:0000-0002-3255-4695 Cardiff U. New York U., CCPP School of Physics and Astronomy, Cardiff University, The Parade, Cardiff, CF24 3AA, UK Center for Computational Astrophysics, Flatiron Institute, 162 5th Avenue, 10010, New York, NY, USA Fabricius, M. ORCID:0000-0002-7025-6058 Garching, Max Planck Inst., MPE Munich U. Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Fang, Y. Munich U. Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Farina, A. ORCID:0009-0000-3420-929X Genoa U. Brera Observ. MIT, Cambridge, Dept. Phys. INFN, Genoa Dipartimento di Fisica, Università di Genova, Via Dodecaneso 33, 16146, Genova, Italy INAF-Osservatorio Astronomico di Brera, Via Brera 28, 20122 Milano, Italy INFN-Sezione di Genova, Via Dodecaneso 33, 16146, Genova, Italy Farina, M. ORCID:0000-0002-3089-7846 INAF, IAPS, Rome INAF-Istituto di Astrofisica e Planetologia Spaziali, via del Fosso del Cavaliere, 100, 00100 Roma, Italy Farinelli, R. Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Farrens, S. ORCID:0000-0002-9594-9387 AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Faustini, F. ORCID:0000-0001-6274-5145 ASI, Rome Rome Observ. Space Science Data Center, Italian Space Agency, via del Politecnico snc, 00133 Roma, Italy INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Feltre, A. ORCID:0000-0001-6865-2871 Trieste Observ. INAF-Osservatorio Astrofisico di Arcetri, Largo E. Fermi 5, 50125, Firenze, Italy Ferguson, A.M.N. Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Ferrando, P. ORCID:0000-0002-0558-9155 AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Ferrari, A.G. ORCID:0009-0005-5266-4110 Bologna U. INFN, Bologna Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Ferré-Mateu, A. ORCID:0000-0002-6411-220X Laguna U., Tenerife IAC, La Laguna Departamento de Astrofísica, Universidad de La Laguna, 38206, La Laguna, Tenerife, Spain Instituto de Astrofísica de Canarias, Calle Vía Láctea s/n, 38204, San Cristóbal de La Laguna, Tenerife, Spain Ferreira, P.G. ORCID:0000-0002-3021-2851 Oxford U. Department of Physics, Oxford University, Keble Road, Oxford OX1 3RH, UK Ferreras, I. ORCID:0000-0003-4584-3127 University Coll. London IAC, La Laguna Laguna U., Tenerife Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK Instituto de Astrofísica de Canarias, Calle Vía Láctea s/n, 38204, San Cristóbal de La Laguna, Tenerife, Spain Departamento de Astrofísica, Universidad de La Laguna, 38206, La Laguna, Tenerife, Spain Ferrero, I. ORCID:0000-0002-1295-1132 Inst. Theor. Astrophys., Oslo Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, 0315 Oslo, Norway Ferriol, S. IP2I, Lyon Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, F-69100, France Ferruit, P. ESA, Madrid ESAC/ESA, Camino Bajo del Castillo, s/n., Urb. Villafranca del Castillo, 28692 Villanueva de la Cañada, Madrid, Spain Filleul, D. Astrium GmbH, Friedrichshafen Airbus Defence \& Space SAS, Toulouse, France Finelli, F. ORCID:0000-0002-6694-3269 Bologna Observ. INFN, Bologna INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy INFN-Bologna, Via Irnerio 46, 40126 Bologna, Italy Finkelstein, S.L. ORCID:0000-0001-8519-1130 Texas U. The University of Texas at Austin, Austin, TX, 78712, USA Finoguenov, A. ORCID:0000-0002-4606-5403 Helsinki U. Department of Physics, P.O. Box 64, 00014 University of Helsinki, Finland Fiorini, B. ORCID:0000-0002-0092-4321 Portsmouth U., ICG Queen Mary, U. of London (main) Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK School of Physics and Astronomy, Queen Mary University of London, Mile End Road, London E1 4NS, UK Flentge, F. ESOC, Darmstadt European Space Agency/ESOC, Robert-Bosch-Str. 5, 64293 Darmstadt, Germany Focardi, P. U. Bologna, DIFA Dipartimento di Fisica e Astronomia, Università di Bologna, Via Gobetti 93/2, 40129 Bologna, Italy Fonseca, J. ORCID:0000-0003-0549-1614 Porto U. Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto, CAUP, Rua das Estrelas, PT4150-762 Porto, Portugal Faculdade de Ciências da Universidade do Porto, Rua do Campo de Alegre, 4150-007 Porto, Portugal Fontana, A. ORCID:0000-0003-3820-2823 Rome Observ. INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Fontanot, F. ORCID:0000-0003-4744-0188 Trieste Observ. SISSA, Trieste IFPU, Trieste INFN, Trieste INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy Fornari, F. ORCID:0000-0003-2979-6738 INFN, Bologna INFN-Bologna, Via Irnerio 46, 40126 Bologna, Italy Fosalba, P. ORCID:0000-0002-1510-5214 Barcelona, IEEC ICE, Bellaterra Institut d'Estudis Espacials de Catalunya Institut de Ciencies de l'Espai Fossati, M. ORCID:0000-0002-9043-8764 Brera Observ. Milan Bicocca U. INAF-Osservatorio Astronomico di Brera, Via Brera 28, 20122 Milano, Italy Dipartimento di Fisica "G. Occhialini", Università degli Studi di Milano Bicocca, Piazza della Scienza 3, 20126 Milano, Italy Fotopoulou, S. ORCID:0000-0002-9686-254X Bristol U. School of Physics, HH Wills Physics Laboratory, University of Bristol, Tyndall Avenue, Bristol, BS8 1TL, UK Fouchez, D. ORCID:0000-0002-7496-3796 Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Fourmanoit, N. Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Frailis, M. ORCID:0000-0002-7400-2135 Trieste Observ. INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Fraix-Burnet, D. ORCID:0000-0002-7418-0513 IPAG Univ. Grenoble Alpes, CNRS, IPAG, Grenoble, France Franceschi, E. ORCID:0000-0002-0585-6591 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Franco, A. ORCID:0000-0002-4761-366X Salento U. INFN, Lecce INFN, Sezione di Lecce, Via per Arnesano, CP-193, 73100, Lecce, Italy Department of Mathematics and Physics E. De Giorgi, University of Salento, Via per Arnesano, CP-I93, 73100, Lecce, Italy INAF-Sezione di Lecce, c/o Dipartimento Matematica e Fisica, Via per Arnesano, 73100, Lecce, Italy Franzetti, P. IASF, Milan INAF-IASF Milano, Via Alfonso Corti 12, 20133 Milano, Italy Freihoefer, J. ESOC, Darmstadt European Space Agency/ESOC, Robert-Bosch-Str. 5, 64293 Darmstadt, Germany Frittoli, G. ORCID:0009-0001-3882-2355 Rome U., Tor Vergata INFN, Rome Dipartimento di Fisica, Università di Roma Tor Vergata, Via della Ricerca Scientifica 1, Roma, Italy Frugier, P.-A. AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Frusciante, N. ORCID:0000-0002-7375-1230 Naples U. INFN, Naples Department of Physics "E. Pancini", University Federico II, Via Cinthia 6, 80126, Napoli, Italy Fumagalli, A. ORCID:0009-0004-0300-2535 Munich U. Trieste Observ. SISSA, Trieste IFPU, Trieste INFN, Trieste Ludwig-Maximilians-University, Schellingstrasse 4, 80799 Munich, Germany INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy Fumagalli, M. ORCID:0000-0001-6676-3842 Trieste Observ. Milan Bicocca U. INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Dipartimento di Fisica "G. Occhialini", Università degli Studi di Milano Bicocca, Piazza della Scienza 3, 20126 Milano, Italy Fumana, M. ORCID:0000-0001-6787-5950 IASF, Milan INAF-IASF Milano, Via Alfonso Corti 12, 20133 Milano, Italy Fu, Y. ORCID:0000-0002-0759-0504 Leiden Observ. Kapteyn Astron. Inst., Groningen Leiden Observatory, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands Gabarra, L. ORCID:0000-0002-8486-8856 Oxford U. Department of Physics, Oxford University, Keble Road, Oxford OX1 3RH, UK Galeotta, S. ORCID:0000-0002-3748-5115 Trieste Observ. INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Galluccio, L. ORCID:0000-0002-8541-0476 OCA, Nice, Lab. Lagrange Université Côte d'Azur, Observatoire de la Côte d'Azur, CNRS, Laboratoire Lagrange, Bd de l'Observatoire, CS 34229, 06304 Nice cedex 4, France Ganga, K. ORCID:0000-0001-8159-8208 APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, 75013 Paris, France Gao, H. ORCID:0000-0003-1015-5367 Inst. Astron., Honolulu Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822, USA García-Bellido, J. ORCID:0000-0002-9370-8360 Madrid, Autonoma U. CSIC, Madrid Instituto de Física Teórica UAM-CSIC, Campus de Cantoblanco, 28049 Madrid, Spain Garcia, K. ORCID:0000-0001-7145-549X Florida U. Department of Astronomy, University of Florida, Bryant Space Science Center, Gainesville, FL 32611, USA Gardner, J.P. ORCID:0000-0003-2098-9568 NASA, Goddard Code 665, NASA/GSFC, 8800 Greenbelt Road, Greenbelt, MD 20771, USA Garilli, B. ORCID:0000-0001-7455-8750 IASF, Milan INAF-IASF Milano, Via Alfonso Corti 12, 20133 Milano, Italy Gaspar-Venancio, L.-M. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Gasparetto, T. ORCID:0000-0002-7913-4866 Trieste Observ. INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Gautard, V. AIM, Saclay CEA Saclay, DFR/IRFU, Service d'Astrophysique, Bat. 709, 91191 Gif-sur-Yvette, France Gavazzi, R. ORCID:0000-0002-5540-6935 Marseille, Lab. Astrophys. Paris, Inst. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France Gaztanaga, E. ORCID:0000-0001-9632-0815 Barcelona, IEEC Portsmouth U., ICG Institute of Space Sciences Institut d'Estudis Espacials de Catalunya Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK Genolet, L. U. Geneva (main) Department of Astronomy, University of Geneva, ch. d'Ecogia 16, 1290 Versoix, Switzerland Santos, R. Genova ORCID:0000-0001-5479-0034 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias, Calle Vía Láctea s/n, 38204, San Cristóbal de La Laguna, Tenerife, Spain Instituto de Astrofísica de Canarias Gentile, F. ORCID:0000-0002-8008-9871 U. Bologna, DIFA Bologna Observ. Dipartimento di Fisica e Astronomia, Università di Bologna, Via Gobetti 93/2, 40129 Bologna, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy George, K. ORCID:0000-0002-1734-8455 Munich U. Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Gerbino, M. Istituto Nazionale di Fisica Nucleare, Sezione di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy Ghaffari, Z. ORCID:0000-0002-6467-8078 Trieste Observ. SISSA, Trieste IFPU, Trieste INFN, Trieste INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy Giacomini, F. ORCID:0000-0002-3129-2814 INFN, Bologna INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Gianotti, F. ORCID:0000-0003-4666-119X Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Gibb, G.P.S. Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Gillard, W. ORCID:0000-0003-4744-9748 Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Gillis, B. ORCID:0000-0002-4478-1270 Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Ginolfi, M. ORCID:0000-0002-9122-1700 Florence U. Trieste Observ. Dipartimento di Fisica e Astronomia, Università di Firenze, via G. Sansone 1, 50019 Sesto Fiorentino, Firenze, Italy INAF-Osservatorio Astrofisico di Arcetri, Largo E. Fermi 5, 50125, Firenze, Italy Giocoli, C. ORCID:0000-0002-9590-7961 Bologna Observ. INFN, Bologna INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Istituto Nazionale di Fisica Nucleare, Sezione di Bologna, Via Irnerio 46, 40126 Bologna, Italy Girardi, M. ORCID:0000-0003-1861-1865 Trieste U. Trieste Observ. Dipartimento di Fisica - Sezione di Astronomia, Università di Trieste, Via Tiepolo 11, 34131 Trieste, Italy INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Giri, S.K. ORCID:0000-0002-2560-536X Zurich U. Nordita Royal Inst. Tech., Stockholm Department of Astrophysics, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland Nordita, KTH Royal Institute of Technology and Stockholm 1859 University, Hannes Alfvéns väg 12, Stockholm, SE-106 91, Sweden Goh, L.W.K. ORCID:0000-0002-0104-8132 AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Gómez-Alvarez, P. ORCID:0000-0002-8594-5358 Madrid, ICMAT ESA, Madrid FRACTAL S.L.N.E., calle Tulipán 2, Portal 13 1A, 28231, Las Rozas de Madrid, Spain ESAC/ESA, Camino Bajo del Castillo, s/n., Urb. Villafranca del Castillo, 28692 Villanueva de la Cañada, Madrid, Spain Gonzalez-Perez, V. Departamento de Física Teórica, Facultad de Ciencias, Universidad Autónoma de Madrid, 28049 Cantoblanco, Madrid, Spain Gonzalez, A.H. ORCID:0000-0002-0933-8601 Florida U. Department of Astronomy, University of Florida, Bryant Space Science Center, Gainesville, FL 32611, USA Gonzalez, E.J. ORCID:0000-0002-0226-9893 Barcelona, IFAE Cordoba U. Institut de Física d'Altes Energies Port d'Informació Científica, Campus UAB, C. Albareda s/n, 08193 Bellaterra Instituto de Astronomia Teorica y Experimental Gonzalez, J.C. ORCID:0000-0003-4447-8658 ESA, Madrid Garching, Max Planck Inst. Plasmaphys. ESAC/ESA, Camino Bajo del Castillo, s/n., Urb. Villafranca del Castillo, 28692 Villanueva de la Cañada, Madrid, Spain Beauchamps, S. Gouyou Barcelona, IEEC ICE, Bellaterra Institut d'Estudis Espacials de Catalunya Institut de Ciencies de l'Espai Gozaliasl, G. ORCID:0000-0002-0236-919X Aalto U. Helsinki U. Department of Computer Science, Aalto University, PO Box 15400, Espoo, FI-00 076, Finland Department of Physics, P.O. Box 64, 00014 University of Helsinki, Finland Gracia-Carpio, J. Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Grandis, S. ORCID:0000-0002-4577-8217 Innsbruck U. Universität Innsbruck, Institut für Astro- und Teilchenphysik, Technikerstr. 25/8, 6020 Innsbruck, Austria Granett, B.R. ORCID:0000-0003-2694-9284 Brera Observ. INAF-Osservatorio Astronomico di Brera, Via Brera 28, 20122 Milano, Italy Granvik, M. ORCID:0000-0002-5624-1888 Helsinki U. Uppsala U. Department of Physics, P.O. Box 64, 00014 University of Helsinki, Finland Asteroid Engineering Laboratory, Luleå University of Technology, Box 848, 98128 Kiruna, Sweden Grazian, A. ORCID:0000-0002-5688-0663 Padua Observ. INAF-Osservatorio Astronomico di Padova, Via dell'Osservatorio 5, 35122 Padova, Italy Gregorio, A. ORCID:0000-0003-4028-8785 Trieste U. Trieste Observ. INFN, Trieste Dipartimento di Fisica - Sezione di Astronomia, Università di Trieste, Via Tiepolo 11, 34131 Trieste, Italy INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy Grenet, C. Paris, Inst. Astrophys. Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France Grillo, C. ORCID:0000-0002-5926-7143 Milan U. IASF, Milan Dipartimento di Fisica "Aldo Pontremoli", Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy INAF-IASF Milano, Via Alfonso Corti 12, 20133 Milano, Italy Grupp, F. Garching, Max Planck Inst., MPE Munich U. Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Gruppioni, C. ORCID:0000-0002-5836-4056 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Gruppuso, A. Bologna Observ. INFN, Bologna INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Guerbuez, C. ESOC, Darmstadt European Space Agency/ESOC, Robert-Bosch-Str. 5, 64293 Darmstadt, Germany Guerrini, S. ORCID:0009-0004-3655-4870 IRFU, Saclay Universite Paris Cité, Universite Paris-Saclay, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Guidi, M. ORCID:0000-0001-9408-1101 U. Bologna, DIFA Bologna Observ. Dipartimento di Fisica e Astronomia, Università di Bologna, Via Gobetti 93/2, 40129 Bologna, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Guillard, P. ORCID:0000-0002-2421-1350 IUF, Paris Paris, Inst. Astrophys. Institut universitaire de France Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France Gutierrez, C.M. Laguna U., Tenerife Instituto de Astrofísica de Canarias Guttridge, P. Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Guzzo, L. ORCID:0000-0001-8264-5192 Milan U. Brera Observ. Dipartimento di Fisica "Aldo Pontremoli", Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy INAF-Osservatorio Astronomico di Brera, Via Brera 28, 20122 Milano, Italy Gwyn, S. ORCID:0000-0001-8221-8406 NRC-HIA, Victoria NRC Herzberg, 5071 West Saanich Rd, Victoria, BC V9E 2E7, Canada Haapala, J. Helsinki Inst. of Phys. Department of Physics and Helsinki Institute of Physics, Gustaf Hällströmin katu 2, 00014 University of Helsinki, Finland Haase, J. ORCID:0000-0001-7809-3671 Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Haddow, C.R. ESOC, Darmstadt European Space Agency/ESOC, Robert-Bosch-Str. 5, 64293 Darmstadt, Germany Hailey, M. Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Hall, A. ORCID:0000-0002-3139-8651 Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Hall, D. Open U., England Centre for Electronic Imaging, Open University, Walton Hall, Milton Keynes, MK7 6AA, UK Hamaus, N. ORCID:0000-0002-0876-2101 Munich U. ORIGINS, Garching Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Excellence Cluster ORIGINS, Boltzmannstrasse 2, 85748 Garching, Germany Haridasu, B.S. ORCID:0000-0002-9153-1258 SISSA, Trieste INFN, Trieste IFPU, Trieste SISSA, International School for Advanced Studies, Via Bonomea 265, 34136 Trieste TS, Italy INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy Harnois-Déraps, J. ORCID:0000-0002-4864-1240 Newcastle U., United Kingdom School of Mathematics, Statistics and Physics, Newcastle University, Herschel Building, Newcastle-upon-Tyne, NE1 7RU, UK Harper, C. Rutherford UK Space Agency, Swindon, SN2 1SZ, UK Hartley, W.G. U. Geneva (main) Department of Astronomy, University of Geneva, ch. d'Ecogia 16, 1290 Versoix, Switzerland Hasinger, G. ORCID:0000-0002-0797-0646 Dresden, Tech. U. DESY, Zeuthen Technische Universitat Dresden, Institut für Kern- und Teilchenphysik, Zellescher Weg 19, 01069 Dresden, Germany Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany Hassani, F. ORCID:0000-0003-2640-4460 Inst. Theor. Astrophys., Oslo Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, 0315 Oslo, Norway Hatch, N.A. ORCID:0000-0001-5600-0534 Nottingham U. School of Physics and Astronomy, University of Nottingham, University Park, Nottingham NG7 2RD, UK Haugan, S.V.H. ORCID:0000-0001-9648-7260 Inst. Theor. Astrophys., Oslo Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, 0315 Oslo, Norway Häußler, B. ORCID:0000-0002-1857-2088 European Southern Obs., Chile European Southern Observatory, Alonso de Cordova 3107, Casilla 19001, Santiago, Chile Heavens, A. ORCID:0000-0003-1586-2773 Imperial Coll., London Astrophysics Group,Blackett Laboratory,Imperial College London,London SW7 2AZ,UK Heisenberg, L. U. Heidelberg, ITP Institut für Theoretische Physik, University of Heidelberg, Philosophenweg 16, 69120 Heidelberg, Germany Helmi, A. ORCID:0000-0003-3937-7641 Kapteyn Astron. Inst., Groningen Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands Helou, G. ORCID:0000-0003-3367-3415 Caltech Caltech/IPAC, 1200 E. California Blvd., Pasadena, CA 91125, USA Hemmati, S. ORCID:0000-0003-2226-5395 Caltech Caltech/IPAC, 1200 E. California Blvd., Pasadena, CA 91125, USA Henares, K. ESA, Madrid ESAC/ESA, Camino Bajo del Castillo, s/n., Urb. Villafranca del Castillo, 28692 Villanueva de la Cañada, Madrid, Spain Herent, O. Paris, Inst. Astrophys. Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France Hernández-Monteagudo, C. ORCID:0000-0001-5471-9166 CEFCA, Teruel Laguna U., Tenerife IAC, La Laguna Centro de Estudios de Física del Cosmos de Aragón Departamento de Astrofísica, Universidad de La Laguna, 38206, La Laguna, Tenerife, Spain Instituto de Astrofísica de Canarias, Calle Vía Láctea s/n, 38204, San Cristóbal de La Laguna, Tenerife, Spain Heuberger, T. Unlisted, CH University of Applied Sciences and Arts of Northwestern Switzerland, School of Engineering, 5210 Windisch, Switzerland Hewett, P.C. ORCID:0000-0002-6528-1937 Cambridge U., Inst. of Astron. Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK Heydenreich, S. ORCID:0000-0002-7273-4076 Argelander Inst. Astron. UC, Santa Cruz UC, Santa Cruz, Inst. Part. Phys. Universität Bonn, Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany Department of Astronomy and Astrophysics, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA Hildebrandt, H. ORCID:0000-0002-9814-3338 Ruhr U., Bochum Ruhr University Bochum, Faculty of Physics and Astronomy, Astronomical Institute Hirschmann, M. ORCID:0000-0002-3301-3321 LASTRO Observ. Trieste Observ. Institute of Physics, Laboratory for Galaxy Evolution, Ecole Polytechnique Fédérale de Lausanne, Observatoire de Sauverny, CH-1290 Versoix, Switzerland INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Hjorth, J. ORCID:0000-0002-4571-2306 DARK Cosmology Ctr. Bohr Inst. DARK, Niels Bohr Institute, University of Copenhagen, Jagtvej 155, 2200 Copenhagen, Denmark Hoar, J. ESA, Madrid ESAC/ESA, Camino Bajo del Castillo, s/n., Urb. Villafranca del Castillo, 28692 Villanueva de la Cañada, Madrid, Spain Hoekstra, H. ORCID:0000-0002-0641-3231 Leiden Observ. Leiden Observatory, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands Holland, A.D. Open U., England Control Data, Tallahassee Centre for Electronic Imaging, Open University, Walton Hall, Milton Keynes, MK7 6AA, UK XCAM Limited, 2 Stone Circle Road, Northampton, NN3 8RF, UK Holliman, M.S. Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Holmes, W. Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA Hook, I. ORCID:0000-0002-2960-978X Lancaster U. Department of Physics, Lancaster University, Lancaster, LA1 4YB, UK Horeau, B. AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Hormuth, F. U. Leipzig (main) Felix Hormuth Engineering, Goethestr. 17, 69181 Leimen, Germany Hornstrup, A. ORCID:0000-0002-3363-0936 Denmark, Tech. U. Bohr Inst. Technical University of Denmark, Elektrovej 327, 2800 Kgs. Lyngby, Denmark Cosmic Dawn Center Hosseini, S. IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie Hu, D. Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Hudelot, P. Paris, Inst. Astrophys. Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France Hudson, M.J. ORCID:0000-0002-1437-3786 Waterloo U. Waterloo U., Math. Dept. Perimeter Inst. Theor. Phys. Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada Waterloo Centre for Astrophysics, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada Perimeter Institute for Theoretical Physics, Waterloo, Ontario N2L 2Y5, Canada Huertas-Company, M. ORCID:0000-0002-1416-8483 IAC, La Laguna Laguna U., Tenerife LERMA, Ivry Diderot U., Paris Instituto de Astrofísica de Canarias, Calle Vía Láctea s/n, 38204, San Cristóbal de La Laguna, Tenerife, Spain Instituto de Astrofísica de Canarias Université PSL, Observatoire de Paris, Sorbonne Université, CNRS, LERMA, 75014, Paris, France Université Paris-Cité, 5 Rue Thomas Mann, 75013, Paris, France Huff, E.M. ORCID:0000-0002-9378-3424 Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA Hughes, A.C.N. ORCID:0000-0001-9294-3089 Imperial Coll., London Astrophysics Group,Blackett Laboratory,Imperial College London,London SW7 2AZ,UK Humphrey, A. Porto U. Minho U. Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto, CAUP, Rua das Estrelas, PT4150-762 Porto, Portugal DTx -- Digital Transformation CoLAB, Building 1, Azurém Campus, University of Minho, 4800-058 Guimarães, Portugal Hunt, L.K. ORCID:0000-0001-9162-2371 Trieste Observ. INAF-Osservatorio Astrofisico di Arcetri, Largo E. Fermi 5, 50125, Firenze, Italy Huynh, D.D. AIM, Saclay CEA Saclay, DFR/IRFU, Service d'Astrophysique, Bat. 709, 91191 Gif-sur-Yvette, France Ibata, R. ORCID:0000-0002-3292-9709 Strasbourg Observ. Université de Strasbourg, CNRS, Observatoire astronomique de Strasbourg, UMR 7550, 67000 Strasbourg, France Ichikawa, K. ORCID:0000-0002-4377-903X Waseda U. Department of Physics, School of Advanced Science and Engineering, Faculty of Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku, 169-8555 Tokyo, Japan Iglesias-Groth, S. IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias, Calle Vía Láctea s/n, 38204, San Cristóbal de La Laguna, Tenerife, Spain Ilbert, O. ORCID:0000-0002-7303-4397 Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Ilić, S. ORCID:0000-0003-4285-9086 IJCLab, Orsay IRAP, Toulouse Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France Institut de Recherche en Astrophysique et Planétologie Ingoglia, L. ORCID:0000-0002-7587-0997 U. Bologna, DIFA Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, via Piero Gobetti 93/2, 40129 Bologna, Italy Iodice, E. ORCID:0000-0003-4291-0005 Capodimonte Observ. INAF-Osservatorio Astronomico di Capodimonte, Via Moiariello 16, 80131 Napoli, Italy Israel, H. ORCID:0000-0002-3045-4412 Spektrum Wissenschaft, Heidelberg Ernst-Reuter-Str. 4e, 31224 Peine, Germany Israelsson, U.E. Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA Izzo, L. ORCID:0000-0001-9695-8472 Capodimonte Observ. INAF-Osservatorio Astronomico di Capodimonte, Via Moiariello 16, 80131 Napoli, Italy Jablonka, P. ORCID:0000-0002-9655-1063 LASTRO Observ. Institute of Physics, Laboratory of Astrophysics, Ecole Polytechnique Fédérale de Lausanne Jackson, N. Jodrell Bank Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, UK Jacobson, J. Caltech Caltech/IPAC, 1200 E. California Blvd., Pasadena, CA 91125, USA Jafariyazani, M. ORCID:0000-0001-8019-6661 Caltech Caltech/IPAC, 1200 E. California Blvd., Pasadena, CA 91125, USA Jahnke, K. ORCID:0000-0003-3804-2137 Heidelberg, Max Planck Inst. Astron. Max-Planck-Institut für Astronomie, Königstuhl 17, 69117 Heidelberg, Germany Jain, B. Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19146, USA Jansen, H. ORCID:0009-0002-1332-7742 Innsbruck U. Universität Innsbruck, Institut für Astro- und Teilchenphysik, Technikerstr. 25/8, 6020 Innsbruck, Austria Jarvis, M.J. ORCID:0000-0001-7039-9078 Oxford U. Department of Physics, Oxford University, Keble Road, Oxford OX1 3RH, UK Jasche, J. ORCID:0000-0002-4677-5843 Stockholm U. Paris U. VI, GRECO Department of Astronomy, Stockholm University, Albanova, 10691 Stockholm, Sweden Institut d'Astrophysique de Paris, 98bis Boulevard Arago, 75014, Paris, France Jauzac, M. ORCID:0000-0003-1974-8732 Durham U. Durham U., ICC KwaZulu Natal U. Department of Physics, Centre for Extragalactic Astronomy, Durham University, South Road, DH1 3LE, UK Department of Physics, Institute for Computational Cosmology, Durham University, South Road, DH1 3LE, UK Astrophysics Research Centre, University of KwaZulu-Natal, Westville Campus, Durban 4041, South Africa School of Mathematics, Statistics \& Computer Science, University of KwaZulu-Natal, Westville Campus, Durban 4041, South Africa Jeffrey, N. ORCID:0000-0003-2927-1800 University Coll. London Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK Jhabvala, M. NASA, Goddard NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA Jimenez-Teja, Y. ORCID:0000-0002-6090-2853 IAA, Granada Rio de Janeiro Observ. Instituto de Astrofísica de Andalucía, CSIC, Glorieta de la Astronomí a, 18080, Granada, Spain Observatorio Nacional, Rua General Jose Cristino, 77-Bairro Imperial de Sao Cristovao, Rio de Janeiro, 20921-400, Brazil Muñoz, A. Jimenez ORCID:0009-0004-5252-185X LPSC, Grenoble Univ. Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 53, Avenue des Martyrs, 38000, Grenoble, France Joachimi, B. ORCID:0000-0001-7494-1303 University Coll. London Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK Johansson, P.H. ORCID:0000-0001-8741-8263 Helsinki U. Department of Physics, P.O. Box 64, 00014 University of Helsinki, Finland Joudaki, S. ORCID:0000-0001-8820-673X Portsmouth U., ICG Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK Jullo, E. ORCID:0000-0002-9253-053X Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Kajava, J.J.E. ORCID:0000-0002-3010-8333 Turku U. ESA, Madrid Department of Physics and Astronomy, Vesilinnantie 5, 20014 University of Turku, Finland Serco for European Space Agency Kang, Y. U. Geneva (main) Department of Astronomy, University of Geneva, ch. d'Ecogia 16, 1290 Versoix, Switzerland Kannawadi, A. ORCID:0000-0001-8783-6529 Duke U. Department of Physics, Duke University, Box 90305, Durham, NC 27708, USA Kansal, V. ORCID:0000-0002-4008-6078 ARC, CoEDMPP, Australia Swinburne U. Tech., Hawthorn ARC Centre of Excellence for Dark Matter Particle Physics, Melbourne, Australia Centre for Astrophysics \& Supercomputing, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia Karagiannis, D. ORCID:0000-0002-4927-0816 Queen Mary, U. of London (main) Western Cape U. School of Physics and Astronomy, Queen Mary University of London, Mile End Road, London E1 4NS, UK Department of Physics and Astronomy, University of the Western Cape, Bellville, Cape Town, 7535, South Africa Kärcher, M. ORCID:0000-0001-5868-647X Marseille, Lab. Astrophys. Marseille, CPT Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Aix-Marseille Université, Université de Toulon, CNRS, CPT, Marseille, France Kashlinsky, A. ORCID:0000-0003-2156-078X NASA, Goddard Rudd Consulting Services, Lanham Maryland U., College Park Code 665, NASA/GSFC, 8800 Greenbelt Road, Greenbelt, MD 20771, USA SSAI, Lanham, MD 20706, USA Department of Astronomy, University of Maryland, College Park, MD 20742, USA Kazandjian, M.V. Leiden Observ. American U. of Beirut Leiden Observatory, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands Center For Advanced Mathematical Sciences, American University of Beirut PO Box 11-0236, Riad El-Solh, Beirut 11097 2020, Lebanon Keck, F. ESOC, Darmstadt European Space Agency/ESOC, Robert-Bosch-Str. 5, 64293 Darmstadt, Germany Keihänen, E. ORCID:0000-0003-1804-7715 Helsinki Inst. of Phys. Department of Physics and Helsinki Institute of Physics, Gustaf Hällströmin katu 2, 00014 University of Helsinki, Finland Kerins, E. ORCID:0000-0002-1743-4468 Jodrell Bank Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, UK Kermiche, S. ORCID:0000-0002-0302-5735 Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Khalil, A. Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Kiessling, A. ORCID:0000-0002-2590-1273 Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA Kiiveri, K. Helsinki Inst. of Phys. Department of Physics and Helsinki Institute of Physics, Gustaf Hällströmin katu 2, 00014 University of Helsinki, Finland Kilbinger, M. ORCID:0000-0001-9513-7138 AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Kim, J. ORCID:0000-0003-2776-2761 Oxford U. Department of Physics, Oxford University, Keble Road, Oxford OX1 3RH, UK King, R. Rutherford UK Space Agency, Swindon, SN2 1SZ, UK Kirkpatrick, C.C. Helsinki Inst. of Phys. Department of Physics and Helsinki Institute of Physics, Gustaf Hällströmin katu 2, 00014 University of Helsinki, Finland Kitching, T. ORCID:0000-0002-4061-4598 Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Kluge, M. ORCID:0000-0002-9618-2552 Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Knabenhans, M. ORCID:0000-0002-2886-9838 Zurich U. Department of Astrophysics, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland Knapen, J.H. ORCID:0000-0003-1643-0024 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias, Calle Vía Láctea s/n, 38204, San Cristóbal de La Laguna, Tenerife, Spain Departamento de Astrofísica, Universidad de La Laguna, 38206, La Laguna, Tenerife, Spain Knebe, A. ORCID:0000-0003-4066-8307 Madrid, Autonoma U. Madrid, IFT ICRAR, Perth Departamento de Física Teórica, Facultad de Ciencias, Universidad Autónoma de Madrid, 28049 Cantoblanco, Madrid, Spain Centro de Investigación Avanzada en Física Fundamental International Centre for Radio Astronomy Research, University of Western Australia, 35 Stirling Highway, Crawley, Western Australia 6009, Australia Kneib, J.-P. ORCID:0000-0002-4616-4989 LASTRO Observ. Institute of Physics, Laboratory of Astrophysics, Ecole Polytechnique Fédérale de Lausanne Kohley, R. ESA, Madrid ESAC/ESA, Camino Bajo del Castillo, s/n., Urb. Villafranca del Castillo, 28692 Villanueva de la Cañada, Madrid, Spain Koopmans, L.V.E. ORCID:0000-0003-1840-0312 Kapteyn Astron. Inst., Groningen Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands Koskinen, H. ORCID:0000-0003-3839-6461 Helsinki U. Department of Physics, P.O. Box 64, 00014 University of Helsinki, Finland Koulouridis, E. AIM, Saclay Athens Observ. Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, 15236, Penteli, Greece Kou, R. ORCID:0000-0003-3408-3062 APC, Paris Sussex U. Université Paris Cité, CNRS, Astroparticule et Cosmologie, 75013 Paris, France Department of Physics \& Astronomy, University of Sussex, Brighton BN1 9QH, UK Kovács, A. ORCID:0000-0002-5825-579X Wigner RCP, Budapest Konkoly Observatory, HUN-REN CSFK, MTA Centre of Excellence, Budapest, Konkoly Thege Miklós út 15-17. H-1121, Hungary Kovačić, I. Sterrenkundig Observatorium, Universiteit Gent, Krijgslaan 281 S9, 9000 Gent, Belgium Kowalczyk, A. ESOC, Darmstadt European Space Agency/ESOC, Robert-Bosch-Str. 5, 64293 Darmstadt, Germany Koyama, K. ORCID:0000-0001-6727-6915 Portsmouth U., ICG Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK Kraljic, K. ORCID:0000-0001-6180-0245 Strasbourg Observ. Université de Strasbourg, CNRS, Observatoire astronomique de Strasbourg, UMR 7550, 67000 Strasbourg, France Krause, O. Heidelberg, Max Planck Inst. Astron. Max-Planck-Institut für Astronomie, Königstuhl 17, 69117 Heidelberg, Germany Kruk, S. ORCID:0000-0001-8010-8879 ESA, Madrid ESAC/ESA, Camino Bajo del Castillo, s/n., Urb. Villafranca del Castillo, 28692 Villanueva de la Cañada, Madrid, Spain Kubik, B. ORCID:0009-0006-5823-4880 IP2I, Lyon Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, F-69100, France Kuchner, U. ORCID:0000-0002-0035-5202 Nottingham U. INFN, Ferrara University of Nottingham, University Park, Nottingham NG7 2RD, UK Kuijken, K. ORCID:0000-0002-3827-0175 Leiden Observ. Leiden Observatory, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands Kümmel, M. ORCID:0000-0003-2791-2117 Munich U. Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Kunz, M. ORCID:0000-0002-3052-7394 Geneva U. Université de Genève, Département de Physique Théorique and Centre for Astroparticle Physics, 24 quai Ernest-Ansermet, CH-1211 Genève 4, Switzerland Kurki-Suonio, H. ORCID:0000-0002-4618-3063 Helsinki U. Helsinki Inst. of Phys. Department of Physics, P.O. Box 64, 00014 University of Helsinki, Finland Helsinki Institute of Physics, Gustaf Hällströmin katu 2, University of Helsinki, Helsinki, Finland Lacasa, F. ORCID:0000-0002-7268-3440 Brussels U. Orsay, IAS Geneva U. Université Libre de Bruxelles Université Paris-Saclay, CNRS, Institut d'astrophysique spatiale, 91405, Orsay, France Université de Genève, Département de Physique Théorique and Centre for Astroparticle Physics, 24 quai Ernest-Ansermet, CH-1211 Genève 4, Switzerland Lacey, C.G. ORCID:0000-0001-9016-5332 Durham U., ICC Department of Physics, Institute for Computational Cosmology, Durham University, South Road, DH1 3LE, UK La Franca, F. ORCID:0000-0002-1239-2721 INFN, Rome3 Department of Mathematics and Physics, Roma Tre University, Via della Vasca Navale 84, 00146 Rome, Italy Lagarde, N. LAB, Bordeaux Laboratoire d'Astrophysique de Bordeaux, CNRS and Université de Bordeaux, Allée Geoffroy St. Hilaire, 33165 Pessac, France Lahav, O. ORCID:0000-0002-1134-9035 University Coll. London Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK Laigle, C. ORCID:0009-0008-5926-818X Paris, Inst. Astrophys. Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France La Marca, A. ORCID:0000-0002-7217-5120 Kapteyn Astron. Inst., Groningen SRON Netherlands Institute for Space Research, Landleven 12, 9747 AD, Groningen, The Netherlands Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands La Marle, O. CNES, Toulouse Centre National d'Etudes Spatiales -- Centre spatial de Toulouse, 18 avenue Edouard Belin, 31401 Toulouse Cedex 9, France Lamine, B. ORCID:0000-0002-9416-2320 IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie Lam, M.C. ORCID:0000-0002-9347-2298 Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Lançon, A. ORCID:0000-0002-7214-8296 Strasbourg Observ. Université de Strasbourg, CNRS, Observatoire astronomique de Strasbourg, UMR 7550, 67000 Strasbourg, France Landt, H. ORCID:0000-0001-8391-6900 Durham U. Department of Physics, Centre for Extragalactic Astronomy, Durham University, South Road, DH1 3LE, UK Langer, M. ORCID:0000-0002-9088-2718 Orsay, IAS Université Paris-Saclay, CNRS, Institut d'astrophysique spatiale, 91405, Orsay, France Lapi, A. ORCID:0000-0002-4882-1735 SISSA, Trieste IFPU, Trieste INFN, Trieste Bologna, Ist. Radioastronomia SISSA, International School for Advanced Studies, Via Bonomea 265, 34136 Trieste TS, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy INAF, Istituto di Radioastronomia, Via Piero Gobetti 101, 40129 Bologna, Italy INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy Larcheveque, C. Canberra Indust., Lingolsheim APCO Technologies, Chemin de Champex 10, 1860 Aigle, Switzerland Larsen, S.S. ORCID:0000-0003-0069-1203 Nijmegen U., IMAPP Department of Astrophysics/IMAPP, Radboud University, PO Box 9010, 6500 GL Nijmegen, The Netherlands Lattanzi, M. INFN, Ferrara Istituto Nazionale di Fisica Nucleare, Sezione di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy Laudisio, F. INFN, Padua INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Laugier, D. ORCID:0000-0002-2517-0204 Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Laureijs, R. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Le Brun, A.M.C. ORCID:0000-0002-0936-4594 LUTH, Meudon Paris, Inst. Astrophys. Laboratoire Univers et Théorie,Observatoire de Paris,Université PSL,Université Paris Cité,CNRS,92190 Meudon,France Institut d'Astrophysique de Paris,UMR 7095,CNRS,and Sorbonne Université,98 bis boulevard Arago,75014 Paris,France Laurent, V. Université Paris-Saclay, CNRS, Institut d'astrophysique spatiale, 91405, Orsay, France Lavaux, G. ORCID:0000-0003-0143-8891 Paris, Inst. Astrophys. Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France Lawrenson, A. Surrey U. Mullard Space Sci. Lab. Surrey Satellite Technology Limited, Tycho House, 20 Stephenson Road, Surrey Research Park, Guildford, GU2 7YE, UK Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Lazanu, A. ORCID:0000-0002-8061-9828 Jodrell Bank Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, UK Lazeyras, T. ORCID:0000-0002-7080-9839 Milan Bicocca U. Dipartimento di Fisica "G. Occhialini", Università degli Studi di Milano Bicocca, Piazza della Scienza 3, 20126 Milano, Italy Le Boulc'h, Q. CC, Villeurbanne Centre de Calcul de l'IN2P3/CNRS, 21 avenue Pierre de Coubertin 69627 Villeurbanne Cedex, France Le Brun, V. ORCID:0000-0002-5027-1939 Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Leclercq, F. ORCID:0000-0002-9339-1404 Paris, Inst. Astrophys. Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France Lee, S. ORCID:0000-0002-8289-740X Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA Le Graet, J. ORCID:0000-0001-6523-7971 Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Legrand, L. ORCID:0000-0003-0610-5252 Sao Paulo, IFT ICTP South American Institute for Fundamental Research, Instituto de Física Teórica, Universidade Estadual Paulista, São Paulo, Brazil Leirvik, K.N. Inst. Theor. Astrophys., Oslo Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, 0315 Oslo, Norway Le Jeune, M. ORCID:0000-0002-1008-3394 APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, 75013 Paris, France Lembo, M. ORCID:0000-0002-5271-5070 Ferrara U. INFN, Ferrara Dipartimento di Fisica e Scienze della Terra, Università degli Studi di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy Istituto Nazionale di Fisica Nucleare, Sezione di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy Le Mignant, D. ORCID:0000-0002-5339-5515 Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Lepinzan, M.D. ORCID:0000-0003-1287-9801 Trieste U. Trieste Observ. Dipartimento di Fisica - Sezione di Astronomia, Università di Trieste, Via Tiepolo 11, 34131 Trieste, Italy INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Lepori, F. Zurich U. Department of Astrophysics, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland Reun, A. Le Institut d'Astrophysique de Paris, 98bis Boulevard Arago, 75014, Paris, France Leroy, G. Department of Physics, Centre for Extragalactic Astronomy, Durham University, South Road, DH1 3LE, UK Department of Physics, Institute for Computational Cosmology, Durham University, South Road, DH1 3LE, UK Lesci, G.F. ORCID:0000-0002-4607-2830 U. Bologna, DIFA Bologna Observ. Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, via Piero Gobetti 93/2, 40129 Bologna, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Lesgourgues, J. ORCID:0000-0001-7627-353X Aachen, Tech. Hochsch. Institute for Theoretical Particle Physics and Cosmology Leuzzi, L. U. Bologna, DIFA Bologna Observ. Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, via Piero Gobetti 93/2, 40129 Bologna, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Levi, M.E. ORCID:0000-0003-1887-1018 LBL, Berkeley Lawrence Berkeley National Laboratory, One Cyclotron Road, Berkeley, CA 94720, USA Liaudat, T.I. ORCID:0000-0002-9104-314X IRFU, Saclay IRFU, CEA, Université Paris-Saclay 91191 Gif-sur-Yvette Cedex, France Libet, G. CNES, Toulouse Centre National d'Etudes Spatiales -- Centre spatial de Toulouse, 18 avenue Edouard Belin, 31401 Toulouse Cedex 9, France Liebing, P. Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Ligori, S. ORCID:0000-0003-4172-4606 Turin Observ. INAF-Osservatorio Astrofisico di Torino, Via Osservatorio 20, 10025 Pino Torinese Lilje, P.B. ORCID:0000-0003-4324-7794 Inst. Theor. Astrophys., Oslo Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, 0315 Oslo, Norway Lin, C.-C. ORCID:0000-0002-7272-5129 Inst. Astron., Honolulu Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822, USA Linde, D. Parma U. INFN Gruppo Collegato di Parma, Viale delle Scienze 7/A 43124 Parma, Italy Linder, E. ORCID:0000-0001-5536-9241 UC, Berkeley University of California, Berkeley, Berkeley, CA 94720, USA Lindholm, V. ORCID:0000-0003-2317-5471 Helsinki U. Helsinki Inst. of Phys. Department of Physics, P.O. Box 64, 00014 University of Helsinki, Finland Helsinki Institute of Physics, Gustaf Hällströmin katu 2, University of Helsinki, Helsinki, Finland Linke, L. ORCID:0000-0002-2622-8113 Innsbruck U. Universität Innsbruck, Institut für Astro- und Teilchenphysik, Technikerstr. 25/8, 6020 Innsbruck, Austria Li, S.-S. ORCID:0000-0001-9952-7408 Leiden Observ. Leiden Observatory, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands Liu, S.J. ORCID:0000-0001-7680-2139 INAF, IAPS, Rome INAF-Istituto di Astrofisica e Planetologia Spaziali, via del Fosso del Cavaliere, 100, 00100 Roma, Italy Lloro, I. ASTRON, Dwingeloo NOVA optical infrared instrumentation group at ASTRON,Oude Hoogeveensedijk 4,7991PD,Dwingeloo,The Netherlands Lobo, F.S.N. ORCID:0000-0002-9388-8373 Lisbon U. Departamento de Física, Faculdade de Ciências, Universidade de Lisboa, Edifício C8, Campo Grande, PT1749-016 Lisboa, Portugal Instituto de Astrofísica e Ciências do Espaço, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal Lodieu, N. ORCID:0000-0002-3612-8968 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias, Calle Vía Láctea s/n, 38204, San Cristóbal de La Laguna, Tenerife, Spain Instituto de Astrofísica de Canarias Lombardi, M. ORCID:0000-0002-3336-4965 Milan U. Dipartimento di Fisica "Aldo Pontremoli", Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy Lombriser, L. Geneva U. Université de Genève, Département de Physique Théorique and Centre for Astroparticle Physics, 24 quai Ernest-Ansermet, CH-1211 Genève 4, Switzerland Lonare, P. ORCID:0009-0000-0028-0493 Rome U., Tor Vergata INFN, Rome Rome Observ. Dipartimento di Fisica, Università di Roma Tor Vergata, Via della Ricerca Scientifica 1, Roma, Italy INAF - Osservatorio Astronomico d'Abruzzo, Via Maggini, 64100, Teramo, Italy Longo, G. ORCID:0000-0002-9182-8414 Naples U. INFN, Naples Department of Physics "E. Pancini", University Federico II, Via Cinthia 6, 80126, Napoli, Italy INFN section of Naples, Via Cinthia 6, 80126, Napoli, Italy López-Caniego, M. ORCID:0000-0003-1016-9283 ESA, Madrid Madrid, Autonoma U. Aurora Technology for European Space Agency Universidad Europea de Madrid, 28670, Madrid, Spain Lopez, X. Lopez U. Bologna, DIFA Bologna Observ. IASF, Bologna Dipartimento di Fisica e Astronomia, Università di Bologna, Via Gobetti 93/2, 40129 Bologna, Italy INAF-IASF Bologna, Via Piero Gobetti 101, 40129 Bologna, Italy Alvarez, J. Lorenzo ORCID:0000-0002-6845-993X ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Loureiro, A. ORCID:0000-0002-4371-0876 Stockholm U., OKC Imperial Coll., London Oskar Klein Centre for Cosmoparticle Physics, Department of Physics, Stockholm University, Stockholm, SE-106 91, Sweden Loveday, J. ORCID:0000-0001-5290-8940 Sussex U. Department of Physics \& Astronomy, University of Sussex, Brighton BN1 9QH, UK Lusso, E. ORCID:0000-0003-0083-1157 Trieste Observ. Florence U. INAF-Osservatorio Astrofisico di Arcetri, Largo E. Fermi 5, 50125, Firenze, Italy Dipartimento di Fisica e Astronomia, Università di Firenze, via G. Sansone 1, 50019 Sesto Fiorentino, Firenze, Italy Macias-Perez, J. ORCID:0000-0002-5385-2763 LPSC, Grenoble Univ. Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 53, Avenue des Martyrs, 38000, Grenoble, France Maciaszek, T. CNES, Toulouse Centre National d'Etudes Spatiales -- Centre spatial de Toulouse, 18 avenue Edouard Belin, 31401 Toulouse Cedex 9, France Maiorano, E. ORCID:0000-0003-2593-4355 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna,Via Piero Gobetti 93/3,40129 Bologna,Italy Maiorano, E. Paris, Inst. Astrophys. ESTEC, Noordwijk Institut d'Astrophysique de Paris,UMR 7095,CNRS,and Sorbonne Université,98 bis boulevard Arago,75014 Paris,France European Space Agency/ESTEC,Keplerlaan 1,2201 AZ Noordwijk,The Netherlands Maggio, G. INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Magliocchetti, M. ORCID:0000-0001-9158-4838 INAF, IAPS, Rome INAF-Istituto di Astrofisica e Planetologia Spaziali, via del Fosso del Cavaliere, 100, 00100 Roma, Italy Magnard, F. ORCID:0009-0005-5087-8270 Paris, Inst. Astrophys. Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France Magnier, E.A. ORCID:0000-0002-7965-2815 Inst. Astron., Honolulu Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822, USA Magro, A. ORCID:0000-0002-8935-0618 U. Malta Institute of Space Sciences and Astronomy Mahler, G. ORCID:0000-0003-3266-2001 Liege U. Durham U. Durham U., ICC STAR Institute, Quartier Agora - Allée du six Août, 19c B-4000 Liège, Belgium Department of Physics, Centre for Extragalactic Astronomy, Durham University, South Road, DH1 3LE, UK Department of Physics, Institute for Computational Cosmology, Durham University, South Road, DH1 3LE, UK Mainetti, G. CC, Villeurbanne Centre de Calcul de l'IN2P3/CNRS, 21 avenue Pierre de Coubertin 69627 Villeurbanne Cedex, France Maino, D. Milan U. IASF, Milan INFN, Milan Dipartimento di Fisica "Aldo Pontremoli", Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy INAF-IASF Milano, Via Alfonso Corti 12, 20133 Milano, Italy INFN-Sezione di Milano, Via Celoria 16, 20133 Milano, Italy Malavasi, N. ORCID:0000-0001-9033-7958 Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Mamon, G.A. ORCID:0000-0001-8956-5953 Paris, Inst. Astrophys. Paris U. VI, GRECO Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France Institut d'Astrophysique de Paris, 98bis Boulevard Arago, 75014, Paris, France Mancini, C. ORCID:0000-0002-4297-0561 IASF, Milan INAF-IASF Milano, Via Alfonso Corti 12, 20133 Milano, Italy Mandelbaum, R. ORCID:0000-0003-2271-1527 Carnegie Mellon U. McWilliams Center for Cosmology, Department of Physics, Carnegie Mellon University, Pittsburgh, PA 15213, USA Manera, M. ORCID:0000-0003-4962-8934 Barcelona, IFAE Barcelona, Autonoma U. Institut de Física d'Altes Energies Serra Húnter Fellow, Departament de Física, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain Manjón-García, A. ORCID:0000-0002-7413-8825 Cartagena Politecnica U. Departamento Física Aplicada, Universidad Politécnica de Cartagena, Campus Muralla del Mar, 30202 Cartagena, Murcia, Spain Mannucci, F. ORCID:0000-0002-4803-2381 Trieste Observ. INAF-Osservatorio Astrofisico di Arcetri, Largo E. Fermi 5, 50125, Firenze, Italy Mansutti, O. ORCID:0000-0001-5758-4658 Trieste Observ. INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Outeiro, M. Manteiga ORCID:0000-0002-7711-5581 La Coruna U. CIGUS CITIC, Centre for Information and Communications Technologies Research, Universidade da Coruña, Campus de Elviña s/n, 15071 A Coruña, Spain Maoli, R. ORCID:0000-0002-6065-3025 Rome U. Rome Observ. Dipartimento di Fisica, Sapienza Università di Roma, Piazzale Aldo Moro 2, 00185 Roma, Italy INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Maraston, C. ORCID:0000-0001-7711-3677 Portsmouth U., ICG Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK Marcin, S. Unlisted, CH University of Applied Sciences and Arts of Northwestern Switzerland, School of Engineering, 5210 Windisch, Switzerland Marcos-Arenal, P. ORCID:0000-0003-1549-9396 ESA, Madrid HE Space for European Space Agency Margalef-Bentabol, B. ORCID:0000-0001-8702-7019 Kapteyn Astron. Inst., Groningen SRON Netherlands Institute for Space Research, Landleven 12, 9747 AD, Groningen, The Netherlands Marggraf, O. ORCID:0000-0001-7242-3852 Argelander Inst. Astron. Universität Bonn, Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany Marinucci, D. Rome U., Tor Vergata INFN, Rome Dipartimento di Fisica, Università di Roma Tor Vergata, Via della Ricerca Scientifica 1, Roma, Italy Marinucci, M. ORCID:0000-0003-1159-3756 Technion INFN, Padua Padua U. Technion Israel Institute of Technology, Israel Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Markovic, K. ORCID:0000-0001-6764-073X Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA Marleau, F.R. Innsbruck U. Universität Innsbruck, Institut für Astro- und Teilchenphysik, Technikerstr. 25/8, 6020 Innsbruck, Austria Marpaud, J. LPSC, Grenoble Univ. Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 53, Avenue des Martyrs, 38000, Grenoble, France Martignac, J. AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Martín-Fleitas, J. ORCID:0000-0002-8594-569X ESA, Madrid Aurora Technology for European Space Agency Martin-Moruno, P. ORCID:0000-0001-8073-4896 Madrid U. Departamento de Física Teórica and Instituto de Física de Partí-culas y del Cosmos Martin, E.L. ORCID:0000-0002-1208-4833 Laguna U., Tenerife Instituto de Astrofísica de Canarias Martinelli, M. ORCID:0000-0002-6943-7732 Rome Observ. Rome U. INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy INFN-Sezione di Roma, Piazzale Aldo Moro, 2 - c/o Dipartimento di Fisica, Edificio G. Marconi, 00185 Roma, Italy Martinet, N. ORCID:0000-0003-2786-7790 Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Martin, H. ORCID:0009-0009-1137-5880 Waterloo U., Math. Dept. Waterloo U. Waterloo Centre for Astrophysics, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada Martins, C.J.A.P. ORCID:0000-0002-4886-9261 Porto U., Astron. Dept. Porto U. Centro de Astrofísica da Universidade do Porto, Rua das Estrelas, 4150-762 Porto, Portugal Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto, CAUP, Rua das Estrelas, PT4150-762 Porto, Portugal Marulli, F. ORCID:0000-0002-8850-0303 U. Bologna, DIFA Bologna Observ. INFN, Bologna Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, via Piero Gobetti 93/2, 40129 Bologna, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Massari, D. ORCID:0000-0001-8892-4301 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Massey, R. ORCID:0000-0002-6085-3780 Durham U. Durham U., ICC Department of Physics, Centre for Extragalactic Astronomy, Durham University, South Road, DH1 3LE, UK Department of Physics, Institute for Computational Cosmology, Durham University, South Road, DH1 3LE, UK Masters, D.C. ORCID:0000-0001-5382-6138 Caltech Infrared Processing and Analysis Center, California Institute of Technology, Pasadena, CA 91125, USA Matarrese, S. ORCID:0000-0002-2573-1243 INFN, Padua Padua U. Padua Observ. Gran Sasso Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy INAF-Osservatorio Astronomico di Padova, Via dell'Osservatorio 5, 35122 Padova, Italy INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Gran Sasso Science Institute Matsuoka, Y. ORCID:0000-0001-5063-0340 Ehime U. Research Center for Space and Cosmic Evolution, Ehime University, 2-5 Bunkyo-cho, Matsuyama, Ehime 790-8577, Japan Matthew, S. ORCID:0000-0001-8448-1697 Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Maughan, B.J. ORCID:0000-0003-0791-9098 Bristol U. School of Physics, HH Wills Physics Laboratory, University of Bristol, Tyndall Avenue, Bristol, BS8 1TL, UK Mauri, N. ORCID:0000-0001-8196-1548 Bologna U. INFN, Bologna Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Maurin, L. ORCID:0000-0002-8406-0857 Orsay, IAS Université Paris-Saclay, CNRS, Institut d'astrophysique spatiale, 91405, Orsay, France Maurogordato, S. OCA, Nice, Lab. Lagrange Université Côte d'Azur, Observatoire de la Côte d'Azur, CNRS, Laboratoire Lagrange, Bd de l'Observatoire, CS 34229, 06304 Nice cedex 4, France McCarthy, K. ORCID:0000-0001-6857-018X Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA McConnachie, A.W. ORCID:0000-0003-4666-6564 NRC-HIA, Victoria NRC Herzberg, 5071 West Saanich Rd, Victoria, BC V9E 2E7, Canada McCracken, H.J. ORCID:0000-0002-9489-7765 Paris, Inst. Astrophys. Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France McDonald, I. ORCID:0000-0003-0356-0655 Jodrell Bank Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, UK McEwen, J.D. Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK McPartland, C.J.R. ORCID:0000-0003-0639-025X Bohr Inst. Cosmic Dawn Center Niels Bohr Institute, University of Copenhagen, Jagtvej 128, 2200 Copenhagen, Denmark Medinaceli, E. ORCID:0000-0002-4040-7783 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Mehta, V. ORCID:0000-0001-7166-6035 Caltech Caltech/IPAC, 1200 E. California Blvd., Pasadena, CA 91125, USA Mei, S. ORCID:0000-0002-2849-559X APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, 75013 Paris, France Melchior, M. Unlisted, CH University of Applied Sciences and Arts of Northwestern Switzerland, School of Engineering, 5210 Windisch, Switzerland Melin, J.-B. IRFU, Saclay, DPP Université Paris-Saclay, CEA, Département de Physique des Particules, 91191, Gif-sur-Yvette, France Ménard, B. ORCID:0000-0003-3164-6974 Johns Hopkins U. Johns Hopkins University 3400 North Charles Street Baltimore, MD 21218, USA Mendes, J. ESOC, Darmstadt European Space Agency/ESOC, Robert-Bosch-Str. 5, 64293 Darmstadt, Germany Mendez-Abreu, J. ORCID:0000-0002-8766-2597 Laguna U., Tenerife IAC, La Laguna Departamento de Astrofísica, Universidad de La Laguna, 38206, La Laguna, Tenerife, Spain Instituto de Astrofísica de Canarias, Calle Vía Láctea s/n, 38204, San Cristóbal de La Laguna, Tenerife, Spain Meneghetti, M. ORCID:0000-0003-1225-7084 Bologna Observ. INFN, Bologna INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Mercurio, A. ORCID:0000-0001-9261-7849 Capodimonte Observ. Salerno U. INAF-Osservatorio Astronomico di Capodimonte, Via Moiariello 16, 80131 Napoli, Italy Universita di Salerno, Dipartimento di Fisica "E.R. Caianiello", Via Giovanni Paolo II 132, I-84084 Fisciano INFN -- Gruppo Collegato di Salerno - Sezione di Napoli, Dipartimento di Fisica "E.R. Caianiello", Universita di Salerno, via Giovanni Paolo II, 132 - I-84084 Fisciano Merlin, E. ORCID:0000-0001-6870-8900 Rome Observ. INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Metcalf, R.B. ORCID:0000-0003-3167-2574 U. Bologna, DIFA Bologna Observ. Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, via Piero Gobetti 93/2, 40129 Bologna, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Meylan, G. LASTRO Observ. Institute of Physics, Laboratory of Astrophysics, Ecole Polytechnique Fédérale de Lausanne Migliaccio, M. Rome U., Tor Vergata INFN, Rome INFN, Rome2 Dipartimento di Fisica, Università di Roma Tor Vergata, Via della Ricerca Scientifica 1, Roma, Italy INFN, Sezione di Roma 2, Via della Ricerca Scientifica 1, Roma, Italy Mignoli, M. ORCID:0000-0002-9087-2835 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Miller, L. ORCID:0000-0002-3376-6200 Oxford U. Department of Physics, Oxford University, Keble Road, Oxford OX1 3RH, UK Miluzio, M. ESA, Madrid ESAC/ESA, Camino Bajo del Castillo, s/n., Urb. Villafranca del Castillo, 28692 Villanueva de la Cañada, Madrid, Spain HE Space for European Space Agency Milvang-Jensen, B. ORCID:0000-0002-2281-2785 DARK Cosmology Ctr. Bohr Inst. Cosmic Dawn Center Niels Bohr Institute, University of Copenhagen, Jagtvej 128, 2200 Copenhagen, Denmark Mimoso, J.P. ORCID:0000-0002-9758-3366 Lisbon U. Departamento de Física, Faculdade de Ciências, Universidade de Lisboa, Edifício C8, Campo Grande, PT1749-016 Lisboa, Portugal Instituto de Astrofísica e Ciências do Espaço, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal Miquel, R. ORCID:0000-0002-6610-4836 Barcelona, IFAE ICREA, Barcelona Institut de Física d'Altes Energies Institució Catalana de Recerca i Estudis Avançats Miyatake, H. ORCID:0000-0001-7964-9766 KMI, Nagoya Nagoya U., ISEE Tokyo U., IPMU Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, Chikusa-ku, Nagoya, 464-8602, Japan Institute for Advanced Research, Nagoya University, Chikusa-ku, Nagoya, 464-8601, Japan Kavli Institute for the Physics and Mathematics of the Universe Mobasher, B. ORCID:0000-0001-5846-4404 UC, Riverside Physics and Astronomy Department, University of California, 900 University Ave., Riverside, CA 92521, USA Mohr, J.J. ORCID:0000-0002-6875-2087 Munich U. Garching, Max Planck Inst., MPE Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Monaco, P. ORCID:0000-0003-2083-7564 Trieste U. Trieste Observ. INFN, Trieste SISSA, Trieste IFPU, Trieste Dipartimento di Fisica - Sezione di Astronomia, Università di Trieste, Via Tiepolo 11, 34131 Trieste, Italy INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy Monguió, M. Institut de Ciències del Cosmos Dribia Data Research S.L., Pg. de Grácia, 55, 3r 4a, 08007 Barcelona, Spain Montoro, A. ORCID:0000-0003-4730-8590 Barcelona, IEEC Institute of Space Sciences Institut d'Estudis Espacials de Catalunya Mora, A. ORCID:0000-0002-1922-8529 ESA, Madrid Aurora Technology for European Space Agency Moradinezhad Dizgah, A. ORCID:0000-0001-8841-9989 Annecy, LAPP Geneva U. Laboratoire d'Annecy-le-Vieux de Physique Theorique,CNRS & Universite Savoie Mont Blanc,9 Chemin de Bellevue,BP 110,Annecy-le-Vieux,74941 ANNECY Cedex,France Université de Genève,Département de Physique Théorique and Centre for Astroparticle Physics,24 quai Ernest-Ansermet,CH-1211 Genève 4,Switzerland Moresco, M. ORCID:0000-0002-7616-7136 U. Bologna, DIFA Bologna Observ. Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, via Piero Gobetti 93/2, 40129 Bologna, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Moretti, C. ORCID:0000-0003-3314-8936 SISSA, Trieste Salento U. Trieste Observ. IFPU, Trieste INFN, Trieste SISSA, International School for Advanced Studies, Via Bonomea 265, 34136 Trieste TS, Italy ICSC - Centro Nazionale di Ricerca in High Performance Computing, Big Data e Quantum Computing, Via Magnanelli 2, Bologna, Italy INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy Morgante, G. Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Morisset, N. U. Geneva (main) Department of Astronomy, University of Geneva, ch. d'Ecogia 16, 1290 Versoix, Switzerland Moriya, T.J. ORCID:0000-0003-1169-1954 Natl. Astron. Observ. of Japan Monash U. National Astronomical Observatory of Japan, National Institutes of Natural Sciences, 2-21-1 Osawa, Mitaka, Tokyo 181-8588, Japan School of Physics and Astronomy, Faculty of Science, Monash University, Clayton, Victoria 3800, Australia Morris, P.W. ORCID:0000-0002-5186-4381 Caltech California institute of Technology, 1200 E California Blvd, Pasadena, CA 91125, USA Mortlock, D.J. Imperial Coll., London Stockholm U. Department of Mathematics, Imperial College London, London SW7 2AZ, UK Department of Astronomy, Stockholm University, Albanova, 10691 Stockholm, Sweden Moscardini, L. ORCID:0000-0002-3473-6716 U. Bologna, DIFA Bologna Observ. INFN, Bologna Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, via Piero Gobetti 93/2, 40129 Bologna, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Mota, D.F. ORCID:0000-0003-3141-142X Inst. Theor. Astrophys., Oslo Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, 0315 Oslo, Norway Mottet, S. Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France Moustakas, L.A. ORCID:0000-0003-3030-2360 Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA Moutard, T. ORCID:0000-0002-3305-9901 ESA, Madrid ESAC/ESA, Camino Bajo del Castillo, s/n., Urb. Villafranca del Castillo, 28692 Villanueva de la Cañada, Madrid, Spain Müller, T. ORCID:0000-0002-0717-0462 Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Munari, E. ORCID:0000-0002-1751-5946 Trieste Observ. SISSA, Trieste IFPU, Trieste INFN, Trieste INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy Murphree, G. ORCID:0009-0007-7266-8914 Inst. Astron., Honolulu Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822, USA Murray, C. APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, 75013 Paris, France Murray, N. Open U., England Centre for Electronic Imaging, Open University, Walton Hall, Milton Keynes, MK7 6AA, UK Musi, P. Thales Alenia Space Italia, Turin Thales Alenia Space -- Euclid satellite Prime contractor, Strada Antica di Collegno 253, 10146 Torino, Italy Nadathur, S. ORCID:0000-0001-9070-3102 Portsmouth U., ICG Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK Nagam, B.C. ORCID:0000-0002-3724-7694 Kapteyn Astron. Inst., Groningen Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands Nagao, T. ORCID:0000-0002-7402-5441 Ehime U. Research Center for Space and Cosmic Evolution, Ehime University, 2-5 Bunkyo-cho, Matsuyama, Ehime 790-8577, Japan Naidoo, K. ORCID:0000-0002-9182-1802 University Coll. London Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK Nakajima, R. Argelander Inst. Astron. Universität Bonn, Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany Nally, C. ORCID:0000-0002-7512-1662 Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Natoli, P. Ferrara U. INFN, Ferrara Dipartimento di Fisica e Scienze della Terra, Università degli Studi di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy Istituto Nazionale di Fisica Nucleare, Sezione di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy Navarro-Alsina, A. ORCID:0000-0002-3173-2592 Argelander Inst. Astron. Universität Bonn, Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany Girones, D. Navarro Barcelona, IEEC Institute of Space Sciences Institut d'Estudis Espacials de Catalunya Neissner, C. ORCID:0000-0001-8524-4968 Barcelona, IFAE Institut de Física d'Altes Energies Port d'Informació Científica, Campus UAB, C. Albareda s/n, 08193 Bellaterra Nersesian, A. ORCID:0000-0001-6843-409X Liege U. U. Gent (main) STAR Institute, Quartier Agora - Allée du six Août, 19c B-4000 Liège, Belgium Sterrenkundig Observatorium, Universiteit Gent, Krijgslaan 281 S9, 9000 Gent, Belgium Nesseris, S. ORCID:0000-0002-0567-0324 Madrid, Autonoma U. CSIC, Madrid Instituto de Física Teórica UAM-CSIC, Campus de Cantoblanco, 28049 Madrid, Spain Nguyen-Kim, H.N. Paris, Inst. Astrophys. Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France Nicastro, L. ORCID:0000-0001-8534-6788 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Nichol, R.C. U. Surrey (main) School of Mathematics and Physics, University of Surrey, Guildford, Surrey, GU2 7XH, UK Nielbock, M. ORCID:0000-0002-1271-1825 Heidelberg, Max Planck Inst. Astron. Max-Planck-Institut für Astronomie, Königstuhl 17, 69117 Heidelberg, Germany Niemi, S.-M. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Nieto, S. ORCID:0009-0008-9315-5832 ESA, Madrid ESAC/ESA, Camino Bajo del Castillo, s/n., Urb. Villafranca del Castillo, 28692 Villanueva de la Cañada, Madrid, Spain Nilsson, K. Turku U. Finnish Centre for Astronomy with ESO Noller, J. ORCID:0000-0003-2210-775X University Coll. London Portsmouth U., ICG Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK Norberg, P. ORCID:0000-0002-5875-0440 Durham U. Durham U., ICC Department of Physics, Centre for Extragalactic Astronomy, Durham University, South Road, DH1 3LE, UK Department of Physics, Institute for Computational Cosmology, Durham University, South Road, DH1 3LE, UK Nourizonoz, A. ORCID:0009-0006-6164-8670 Geneva U. Université de Genève, Département de Physique Théorique and Centre for Astroparticle Physics, 24 quai Ernest-Ansermet, CH-1211 Genève 4, Switzerland Nouri-Zonoz, A. Université de Genève, Département de Physique Théorique and Centre for Astroparticle Physics, 24 quai Ernest-Ansermet, CH-1211 Genève 4, Switzerland Ntelis, P. ORCID:0000-0002-7849-2418 Aix-Marseille U. Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Nucita, A.A. Salento U. INFN, Lecce Department of Mathematics and Physics E. De Giorgi, University of Salento, Via per Arnesano, CP-I93, 73100, Lecce, Italy INFN, Sezione di Lecce, Via per Arnesano, CP-193, 73100, Lecce, Italy INAF-Sezione di Lecce, c/o Dipartimento Matematica e Fisica, Via per Arnesano, 73100, Lecce, Italy Nugent, P. ORCID:0000-0002-3389-0586 LBL, Berkeley Lawrence Berkeley National Laboratory, One Cyclotron Road, Berkeley, CA 94720, USA Nunes, N.J. ORCID:0000-0002-3837-6914 Lisbon U. Departamento de Física, Faculdade de Ciências, Universidade de Lisboa, Edifício C8, Campo Grande, PT1749-016 Lisboa, Portugal Instituto de Astrofísica e Ciências do Espaço, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal Nutma, T. Kapteyn Astron. Inst., Groningen Leiden Observ. Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands Leiden Observatory, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands Ocampo, I. ORCID:0000-0001-7709-1930 Madrid, Autonoma U. CSIC, Madrid Instituto de Física Teórica UAM-CSIC, Campus de Cantoblanco, 28049 Madrid, Spain Odier, J. ORCID:0000-0002-1650-2246 LPSC, Grenoble Univ. Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 53, Avenue des Martyrs, 38000, Grenoble, France Oesch, P.A. ORCID:0000-0001-5851-6649 U. Geneva (main) Bohr Inst. DARK Cosmology Ctr. Department of Astronomy, University of Geneva, ch. d'Ecogia 16, 1290 Versoix, Switzerland Niels Bohr Institute, University of Copenhagen, Jagtvej 128, 2200 Copenhagen, Denmark Cosmic Dawn Center Oguri, M. ORCID:0000-0003-3484-399X Chiba U. Center for Frontier Science, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba 263-8522, Japan Department of Physics, Graduate School of Science, Chiba University, 1-33 Yayoi-Cho, Inage-Ku, Chiba 263-8522, Japan Oliveira, D. Magalhaes ORCID:0000-0003-1540-238X Lisbon U. Instituto de Astrofísica e Ciências do Espaço, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal Departamento de Física, Faculdade de Ciências, Universidade de Lisboa, Edifício C8, Campo Grande, PT1749-016 Lisboa, Portugal Onoue, M. ORCID:0000-0003-2984-6803 Tokyo U., IPMU Kavli Institute for the Physics and Mathematics of the Universe Oosterbroek, T. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Oppizzi, F. ORCID:0000-0003-3904-8370 INFN, Padua Padua U. INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy Ordenovic, C. ORCID:0000-0003-0256-6596 OCA, Nice, Lab. Lagrange Université Côte d'Azur, Observatoire de la Côte d'Azur, CNRS, Laboratoire Lagrange, Bd de l'Observatoire, CS 34229, 06304 Nice cedex 4, France Osato, K. ORCID:0000-0002-7934-2569 Chiba U. Tokyo U., IPMU Center for Frontier Science, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba 263-8522, Japan Kavli Institute for the Physics and Mathematics of the Universe Pacaud, F. ORCID:0000-0002-6622-4555 Argelander Inst. Astron. Universität Bonn, Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany Pace, F. ORCID:0000-0001-8039-0480 Turin U. INFN, Turin Turin Observ. Dipartimento di Fisica, Università degli Studi di Torino, Via P. Giuria 1, 10125 Torino, Italy INFN-Sezione di Torino, Via P. Giuria 1, 10125 Torino, Italy INAF-Osservatorio Astrofisico di Torino, Via Osservatorio 20, 10025 Pino Torinese Padilla, C. ORCID:0000-0001-7951-0166 Barcelona, IFAE Institut de Física d'Altes Energies Paech, K. ORCID:0000-0003-0625-2367 Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Pagano, L. ORCID:0000-0003-1820-5998 Ferrara U. INFN, Ferrara Dipartimento di Fisica e Scienze della Terra, Università degli Studi di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy Istituto Nazionale di Fisica Nucleare, Sezione di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy Page, M.J. ORCID:0000-0002-6689-6271 Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Palazzi, E. ORCID:0000-0002-8691-7666 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Paltani, S. ORCID:0000-0002-8108-9179 U. Geneva (main) Department of Astronomy, University of Geneva, ch. d'Ecogia 16, 1290 Versoix, Switzerland Pamuk, S. ORCID:0009-0004-0852-8624 Aachen, Tech. Hochsch. Institute for Theoretical Particle Physics and Cosmology Pandolfi, S. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Paoletti, D. ORCID:0000-0003-4761-6147 Bologna Observ. INFN, Bologna INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy INFN-Bologna, Via Irnerio 46, 40126 Bologna, Italy Paolillo, M. ORCID:0000-0003-4210-7693 Naples U. Capodimonte Observ. INFN, Naples Dipartimento di Fisica "E. Pancini", Universita degli Studi di Napoli Federico II, Via Cinthia 6, 80126, Napoli, Italy INAF-Osservatorio Astronomico di Capodimonte, Via Moiariello 16, 80131 Napoli, Italy INFN section of Naples, Via Cinthia 6, 80126, Napoli, Italy Papaderos, P. ORCID:0000-0002-3733-8174 Porto U. Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto, CAUP, Rua das Estrelas, PT4150-762 Porto, Portugal Pardede, K. ORCID:0000-0002-7728-8220 Parma U. INFN Gruppo Collegato di Parma, Viale delle Scienze 7/A 43124 Parma, Italy Parimbelli, G. ORCID:0000-0002-2539-2472 Barcelona, IEEC Genoa U. INFN, Genoa SISSA, Trieste Institute of Space Sciences Dipartimento di Fisica, Università degli studi di Genova, and INFN-Sezione di Genova, via Dodecaneso 33, 16146, Genova, Italy SISSA, International School for Advanced Studies, Via Bonomea 265, 34136 Trieste TS, Italy Parmar, A. ORCID:0009-0009-9390-9232 Imperial Coll., London Astrophysics Group,Blackett Laboratory,Imperial College London,London SW7 2AZ,UK Partmann, C. ORCID:0009-0003-9985-0012 Garching, Max Planck Inst. Max-Planck-Institut für Astrophysik, Karl-Schwarzschild-Str. 1, 85748 Garching, Germany Pasian, F. ORCID:0000-0002-4869-3227 Trieste Observ. INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Passalacqua, F. INFN, Padua Padua U. Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Paterson, K. ORCID:0000-0001-8340-3486 Heidelberg, Max Planck Inst. Astron. Max-Planck-Institut für Astronomie, Königstuhl 17, 69117 Heidelberg, Germany Patrizii, L. INFN, Bologna INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Pattison, C. Portsmouth U., ICG Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK Paulino-Afonso, A. ORCID:0000-0002-0943-0694 Porto U., Astron. Dept. Porto U. Centro de Astrofísica da Universidade do Porto, Rua das Estrelas, 4150-762 Porto, Portugal Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto, CAUP, Rua das Estrelas, PT4150-762 Porto, Portugal Paviot, R. ORCID:0009-0002-8108-3460 AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Peacock, J.A. ORCID:0000-0002-1168-8299 Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Pearce, F.R. ORCID:0000-0002-2383-9250 Nottingham U. School of Physics and Astronomy, University of Nottingham, University Park, Nottingham NG7 2RD, UK Pedersen, K. Aarhus U. Department of Physics and Astronomy, University of Aarhus, Ny Munkegade 120, DK-8000 Aarhus C, Denmark Peel, A. ORCID:0000-0003-0488-8978 LASTRO Observ. Institute of Physics, Laboratory of Astrophysics, Ecole Polytechnique Fédérale de Lausanne Peletier, R.F. ORCID:0000-0001-7621-947X Kapteyn Astron. Inst., Groningen Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands Ibanez, M. Pellejero ORCID:0000-0003-4680-7275 Edinburgh U., Inst. Astron. Donostia Intl. Phys. Ctr., San Sebastian Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Donostia International Physics Center Pello, R. ORCID:0000-0003-0858-6109 Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Penny, M.T. ORCID:0000-0001-7506-5640 Louisiana State U. Department of Physics \& Astronomy, Louisiana State University, 202 Nicholson Hall, Baton Rouge, LA 70803, USA Percival, W.J. ORCID:0000-0002-0644-5727 Waterloo U., Math. Dept. Waterloo U. Perimeter Inst. Theor. Phys. Waterloo Centre for Astrophysics, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada Perimeter Institute for Theoretical Physics, Waterloo, Ontario N2L 2Y5, Canada Perez-Garrido, A. ORCID:0000-0002-5139-1975 Cartagena Politecnica U. Departamento Física Aplicada, Universidad Politécnica de Cartagena, Campus Muralla del Mar, 30202 Cartagena, Murcia, Spain Perotto, L. ORCID:0000-0001-6937-5052 LPSC, Grenoble Univ. Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 53, Avenue des Martyrs, 38000, Grenoble, France Pettorino, V. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Pezzotta, A. ORCID:0000-0003-0726-2268 Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Pezzuto, S. ORCID:0000-0001-7852-1971 INAF, IAPS, Rome INAF-Istituto di Astrofisica e Planetologia Spaziali, via del Fosso del Cavaliere, 100, 00100 Roma, Italy Philippon, A. Orsay, IAS Université Paris-Saclay, CNRS, Institut d'astrophysique spatiale, 91405, Orsay, France Pierre, M. Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Piersanti, O. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Pietroni, M. ORCID:0000-0001-5480-5996 ICJ, Lyon Parma U. Dipartimento di Scienze Matematiche, Fisiche e Informatiche, Università di Parma, Viale delle Scienze 7/A 43124 Parma, Italy INFN Gruppo Collegato di Parma, Viale delle Scienze 7/A 43124 Parma, Italy Piga, L. ORCID:0000-0003-2221-7406 ICJ, Lyon Parma U. IASF, Milan Dipartimento di Scienze Matematiche, Fisiche e Informatiche, Università di Parma, Viale delle Scienze 7/A 43124 Parma, Italy INFN Gruppo Collegato di Parma, Viale delle Scienze 7/A 43124 Parma, Italy INAF-IASF Milano, Via Alfonso Corti 12, 20133 Milano, Italy Pilo, L. ORCID:0000-0003-3554-2427 Insubria U., Como Dipartimento di Scienze Fisiche e Chimiche, University of L'Aquila, Italy Pires, S. ORCID:0000-0002-0249-2104 AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Pisani, A. ORCID:0000-0002-6146-4437 Marseille, CPPM Princeton U., Astrophys. Sci. Dept. New York U., CCPP New York U. Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Department of Astrophysical Sciences, Peyton Hall, Princeton University, Princeton, NJ 08544, USA Center for Computational Astrophysics, Flatiron Institute, 162 5th Avenue, 10010, New York, NY, USA The Cooper Union for the Advancement of Science and Art, 41 Cooper Square, New York, NY 10003, USA Pizzella, A. ORCID:0000-0001-9585-417X INFN, Padua Padua U. Padua Observ. Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy INAF-Osservatorio Astronomico di Padova, Via dell'Osservatorio 5, 35122 Padova, Italy Pizzuti, L. ORCID:0000-0001-5654-7580 Milan Bicocca U. Dipartimento di Fisica "G. Occhialini", Università degli Studi di Milano Bicocca, Piazza della Scienza 3, 20126 Milano, Italy Plana, C. Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Polenta, G. ORCID:0000-0003-4067-9196 ASI, Rome Space Science Data Center, Italian Space Agency, via del Politecnico snc, 00133 Roma, Italy Pollack, J.E. AIM, Saclay APC, Paris CEA Saclay, DFR/IRFU, Service d'Astrophysique, Bat. 709, 91191 Gif-sur-Yvette, France Université Paris Cité, CNRS, Astroparticule et Cosmologie, 75013 Paris, France Poncet, M. CNES, Toulouse Centre National d'Etudes Spatiales -- Centre spatial de Toulouse, 18 avenue Edouard Belin, 31401 Toulouse Cedex 9, France Pöntinen, M. ORCID:0000-0001-5442-2530 Helsinki U. Department of Physics, P.O. Box 64, 00014 University of Helsinki, Finland Pool, P. Unlisted, UK Teledyne E2V, 106, Waterhouse Lane, Chelmsford, CM1 2QU, UK Popa, L.A. Bucharest, Inst. Space Science Institute of Space Science, Str. Atomistilor, nr. 409 Măgurele, Ilfov, 077125, Romania Popa, V. Bucharest, Inst. Space Science Institute of Space Science, Str. Atomistilor, nr. 409 Măgurele, Ilfov, 077125, Romania Popp, J. ORCID:0000-0002-3724-1727 Open U., England School of Physical Sciences, The Open University, Milton Keynes, MK7 6AA, UK Porciani, C. ORCID:0000-0002-7797-2508 Argelander Inst. Astron. Universität Bonn, Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany Porth, L. ORCID:0000-0003-1176-6346 Argelander Inst. Astron. Universität Bonn, Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany Potter, D. ORCID:0000-0002-0757-5195 Zurich U. Department of Astrophysics, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland Poulain, M. ORCID:0000-0002-7664-4510 Oulu U. Space physics and astronomy research unit, University of Oulu, Pentti Kaiteran katu 1, FI-90014 Oulu, Finland Pourtsidou, A. ORCID:0000-0001-9110-5550 Edinburgh U., Inst. Astron. Edinburgh U. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Higgs Centre for Theoretical Physics, School of Physics and Astronomy, The University of Edinburgh, Edinburgh EH9 3FD, UK Pozzetti, L. ORCID:0000-0001-7085-0412 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Prandoni, I. ORCID:0000-0001-9680-7092 Bologna, Ist. Radioastronomia INAF, Istituto di Radioastronomia, Via Piero Gobetti 101, 40129 Bologna, Italy Pratt, G.W. AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Prezelus, S. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Prieto, E. Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Pugno, A. Argelander Inst. Astron. Universität Bonn, Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany Quai, S. ORCID:0000-0002-0449-8163 U. Bologna, DIFA Bologna Observ. Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, via Piero Gobetti 93/2, 40129 Bologna, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Quilley, L. ORCID:0009-0008-8375-8605 Lyon Observ. Centre de Recherche Astrophysique de Lyon, UMR5574, CNRS, Université Claude Bernard Lyon 1, ENS de Lyon, 69230, Saint-Genis-Laval, France Racca, G.D. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Raccanelli, A. ORCID:0000-0001-6726-0438 INFN, Padua Padua U. Padua Observ. CERN Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy INFN-Padova, Via Marzolo 8, 35131 Padova, Italy INAF-Osservatorio Astronomico di Padova, Via dell'Osservatorio 5, 35122 Padova, Italy CERN, Theoretical Physics Department, Geneva, Switzerland Rácz, G. ORCID:0000-0003-3906-5699 Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA Radinović, S. Barcelona, IEEC Inst. Theor. Astrophys., Oslo Institute of Space Sciences Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, 0315 Oslo, Norway Radovich, M. ORCID:0000-0002-3585-866X Padua Observ. INAF-Osservatorio Astronomico di Padova, Via dell'Osservatorio 5, 35122 Padova, Italy Ragagnin, A. ORCID:0000-0002-8106-2742 Bologna Observ. SISSA, Trieste IFPU, Trieste INFN, Trieste U. Bologna, DIFA Salento U. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, via Piero Gobetti 93/2, 40129 Bologna, Italy ICSC - Centro Nazionale di Ricerca in High Performance Computing, Big Data e Quantum Computing, Via Magnanelli 2, Bologna, Italy Ragnit, U. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Raison, F. ORCID:0000-0002-7819-6918 Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Ramos-Chernenko, N. IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias, Calle Vía Láctea s/n, 38204, San Cristóbal de La Laguna, Tenerife, Spain Instituto de Astrofísica de Canarias Ranc, C. ORCID:0000-0003-2388-4534 Paris, Inst. Astrophys. Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France Rasera, Y. Laboratoire Univers et Théorie, Observatoire de Paris, Université PSL, Université Paris Cité, CNRS, 92190 Meudon, France Institut universitaire de France Raylet, N. Astrium GmbH, Friedrichshafen Airbus Defence \& Space SAS, Toulouse, France Rebolo, R. IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias, Calle Vía Láctea s/n, 38204, San Cristóbal de La Laguna, Tenerife, Spain Departamento de Astrofísica, Universidad de La Laguna, 38206, La Laguna, Tenerife, Spain Refregier, A. ETH, Zurich (main) Institute for Particle Physics and Astrophysics, Dept. of Physics, ETH Zurich, Wolfgang-Pauli-Strasse 27, 8093 Zurich, Switzerland Reimberg, P. ORCID:0000-0003-3410-0280 Paris U. VI, GRECO Institut d'Astrophysique de Paris, 98bis Boulevard Arago, 75014, Paris, France Reiprich, T.H. ORCID:0000-0003-2047-2884 Argelander Inst. Astron. Universität Bonn, Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany Renk, F. ESOC, Darmstadt European Space Agency/ESOC, Robert-Bosch-Str. 5, 64293 Darmstadt, Germany Renzi, A. ORCID:0000-0001-9856-1970 INFN, Padua Padua U. Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Retre, J. ORCID:0000-0002-8394-129X Lisbon Astron. Observ. Instituto de Astrofísica e Ciências do Espaço, Faculdade de Ciências, Universidade de Lisboa, Tapada da Ajuda, 1349-018 Lisboa, Portugal Revaz, Y. ORCID:0000-0002-6227-0108 LASTRO Observ. Institute of Physics, Laboratory of Astrophysics, Ecole Polytechnique Fédérale de Lausanne Reylé, C. ORCID:0000-0003-2258-2403 UTINAM, Besancon Université de Franche-Comté, Institut UTINAM, CNRS UMR6213, OSU THETA Franche-Comté-Bourgogne, Observatoire de Besançon, BP 1615, 25010 Besançon Cedex, France Reynolds, L. ORCID:0000-0002-4732-3718 Barcelona, IFAE Institut de Física d'Altes Energies Rhodes, J. ORCID:0000-0002-4485-8549 Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA Ricci, F. ORCID:0000-0001-5742-5980 INFN, Rome3 Rome Observ. Department of Mathematics and Physics, Roma Tre University, Via della Vasca Navale 84, 00146 Rome, Italy INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Ricci, M. ORCID:0000-0002-3645-9652 OCA, Nice, Lab. Lagrange APC, Paris Université Côte d'Azur, Observatoire de la Côte d'Azur, CNRS, Laboratoire Lagrange, Bd de l'Observatoire, CS 34229, 06304 Nice cedex 4, France Université Paris Cité, CNRS, Astroparticule et Cosmologie, 75013 Paris, France Riccio, G. Capodimonte Observ. INAF-Osservatorio Astronomico di Capodimonte, Via Moiariello 16, 80131 Napoli, Italy Ricken, S.O. ESOC, Darmstadt European Space Agency/ESOC, Robert-Bosch-Str. 5, 64293 Darmstadt, Germany Rissanen, S. Helsinki U. Department of Physics, P.O. Box 64, 00014 University of Helsinki, Finland Risso, I. ORCID:0000-0003-2525-7761 Genoa U. INFN, Genoa Dipartimento di Fisica, Università degli studi di Genova, and INFN-Sezione di Genova, via Dodecaneso 33, 16146, Genova, Italy Rix, H.-W. ORCID:0000-0003-4996-9069 Heidelberg, Max Planck Inst. Astron. Max-Planck-Institut für Astronomie, Königstuhl 17, 69117 Heidelberg, Germany Robin, A.C. ORCID:0000-0001-8654-9499 UTINAM, Besancon Université de Franche-Comté, Institut UTINAM, CNRS UMR6213, OSU THETA Franche-Comté-Bourgogne, Observatoire de Besançon, BP 1615, 25010 Besançon Cedex, France Rocca-Volmerange, B. Paris U. VI, GRECO Paris, Inst. Astrophys. Institut d'Astrophysique de Paris, 98bis Boulevard Arago, 75014, Paris, France Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France Rocci, P.-F. Orsay, IAS Université Paris-Saclay, CNRS, Institut d'astrophysique spatiale, 91405, Orsay, France Rodenhuis, M. Leiden Observ. NOVA, Netherlands Research School For Astronomy, Einsteinweg 55, NL-2333CC Leiden, The Netherlands Rodighiero, G. ORCID:0000-0002-9415-2296 INFN, Padua Padua U. Padua Observ. Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy INAF-Osservatorio Astronomico di Padova, Via dell'Osservatorio 5, 35122 Padova, Italy Monroy, M. Rodriguez ORCID:0000-0001-6163-1058 Madrid, Autonoma U. CSIC, Madrid Instituto de Física Teórica UAM-CSIC, Campus de Cantoblanco, 28049 Madrid, Spain Rollins, R.P. ORCID:0000-0003-1291-1023 Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Romanello, M. ORCID:0000-0003-4563-4923 U. Bologna, DIFA Bologna Observ. Dipartimento di Fisica e Astronomia, Università di Bologna, Via Gobetti 93/2, 40129 Bologna, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Roman, J. ORCID:0000-0002-3849-3467 Laguna U., Tenerife IAC, La Laguna Departamento de Astrofísica, Universidad de La Laguna, 38206, La Laguna, Tenerife, Spain Instituto de Astrofísica de Canarias, Calle Vía Láctea s/n, 38204, San Cristóbal de La Laguna, Tenerife, Spain Romelli, E. ORCID:0000-0003-3069-9222 Trieste Observ. INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Romero-Gomez, M. ORCID:0000-0003-3936-1025 Barcelona, IEEC ICC, Barcelona U. U. Barcelona (main) Institut de Ciències del Cosmos Institut d'Estudis Espacials de Catalunya Departament de Física Quàntica i Astrofísica Roncarelli, M. ORCID:0000-0001-9587-7822 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Rosati, P. ORCID:0000-0002-6813-0632 Ferrara U. Bologna Observ. Dipartimento di Fisica e Scienze della Terra, Università degli Studi di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Rosset, C. ORCID:0000-0003-0286-2192 APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, 75013 Paris, France Rossetti, E. ORCID:0000-0003-0238-4047 U. Bologna, DIFA Dipartimento di Fisica e Astronomia, Università di Bologna, Via Gobetti 93/2, 40129 Bologna, Italy Roster, W. ORCID:0000-0002-9149-6528 Garching, Max Planck Inst., MPE Ruhr U., Bochum Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Ruhr University Bochum, Faculty of Physics and Astronomy, Astronomical Institute Rottgering, H.J.A. ORCID:0000-0001-8887-2257 Leiden Observ. Leiden Observatory, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands Rozas-Fernández, A. ORCID:0000-0002-6131-2804 Lisbon U. Instituto de Astrofísica e Ciências do Espaço, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal Ruane, K. Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Rubino-Martin, J.A. ORCID:0000-0001-5289-3021 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias, Calle Vía Láctea s/n, 38204, San Cristóbal de La Laguna, Tenerife, Spain Departamento de Astrofísica, Universidad de La Laguna, 38206, La Laguna, Tenerife, Spain Rudolph, A. ESOC, Darmstadt European Space Agency/ESOC, Robert-Bosch-Str. 5, 64293 Darmstadt, Germany Ruppin, F. ORCID:0000-0002-0955-8954 IP2I, Lyon Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, F-69100, France Rusholme, B. ORCID:0000-0001-7648-4142 Caltech Caltech/IPAC, 1200 E. California Blvd., Pasadena, CA 91125, USA Sacquegna, S. ORCID:0000-0002-8433-6630 Salento U. INFN, Lecce Department of Mathematics and Physics E. De Giorgi, University of Salento, Via per Arnesano, CP-I93, 73100, Lecce, Italy INFN, Sezione di Lecce, Via per Arnesano, CP-193, 73100, Lecce, Italy INAF-Sezione di Lecce, c/o Dipartimento Matematica e Fisica, Via per Arnesano, 73100, Lecce, Italy Sáez-Casares, I. ORCID:0000-0003-0013-5266 LUTH, Meudon Laboratoire Univers et Théorie, Observatoire de Paris, Université PSL, Université Paris Cité, CNRS, 92190 Meudon, France Saga, S. ORCID:0000-0002-7387-7570 KMI, Nagoya Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, Chikusa-ku, Nagoya, 464-8602, Japan Saglia, R. ORCID:0000-0003-0378-7032 Munich U. Garching, Max Planck Inst., MPE Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Sahlén, M. ORCID:0000-0003-0973-4804 Uppsala U. (main) Uppsala U. Unlisted, SE Theoretical astrophysics, Department of Physics and Astronomy, Uppsala University, Box 515, 751 20 Uppsala, Sweden Saifollahi, T. ORCID:0000-0002-9554-7660 Strasbourg Observ. Kapteyn Astron. Inst., Groningen Université de Strasbourg, CNRS, Observatoire astronomique de Strasbourg, UMR 7550, 67000 Strasbourg, France Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands Sakr, Z. ORCID:0000-0002-4823-3757 U. Heidelberg, ITP IRAP, Toulouse USJ, Beirut Institut für Theoretische Physik, University of Heidelberg, Philosophenweg 16, 69120 Heidelberg, Germany Institut de Recherche en Astrophysique et Planétologie Université St Joseph, Faculty of Sciences, Beirut, Lebanon Salvalaggio, J. ORCID:0000-0002-1431-5607 Trieste U. Trieste Observ. SISSA, Trieste IFPU, Trieste INFN, Trieste Dipartimento di Fisica - Sezione di Astronomia, Università di Trieste, Via Tiepolo 11, 34131 Trieste, Italy INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy Salvaterra, R. ORCID:0000-0002-9393-8078 IASF, Milan INAF-IASF Milano, Via Alfonso Corti 12, 20133 Milano, Italy Salvati, L. Orsay, IAS Université Paris-Saclay, CNRS, Institut d'astrophysique spatiale, 91405, Orsay, France Salvato, M. ORCID:0000-0001-7116-9303 Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Salvignol, J.-C. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Sánchez, A.G. ORCID:0000-0003-1198-831X Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Sanchez, E. ORCID:0000-0002-9646-8198 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas Sanders, D.B. ORCID:0000-0002-1233-9998 Inst. Astron., Honolulu Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822, USA Sapone, D. ORCID:0000-0001-7089-4503 Chile U., Beauchef Departamento de Física, FCFM, Universidad de Chile, Blanco Encalada 2008, Santiago, Chile Saponara, M. Thales Alenia Space Italia, Turin Thales Alenia Space -- Euclid satellite Prime contractor, Strada Antica di Collegno 253, 10146 Torino, Italy Sarpa, E. ORCID:0000-0002-1256-655X SISSA, Trieste Salento U. INFN, Trieste SISSA, International School for Advanced Studies, Via Bonomea 265, 34136 Trieste TS, Italy ICSC - Centro Nazionale di Ricerca in High Performance Computing, Big Data e Quantum Computing, Via Magnanelli 2, Bologna, Italy INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy Sarron, F. ORCID:0000-0001-8376-0360 IRAP, Toulouse Institut de Recherche en Informatique de Toulouse Institut de Recherche en Astrophysique et Planétologie Sartori, S. ORCID:0009-0000-5585-8336 Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Schmidt, F. ORCID:0000-0002-6807-7464 Garching, Max Planck Inst. ORIGINS, Garching Max-Planck-Institut für Astrophysik,Karl-Schwarzschild Str. 1,85741 Garching,Germany Excellence Cluster ORIGINS,Boltzmannstrasse 2,85748 Garching,Germany Schmidt, F. Paris, Inst. Astrophys. ESOC, Darmstadt Institut d'Astrophysique de Paris,UMR 7095,CNRS,and Sorbonne Université,98 bis boulevard Arago,75014 Paris,France European Space Agency/ESOC,Robert-Bosch-Str. 5,64293 Darmstadt,Germany Sartoris, B. Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Sassolas, B. ORCID:0000-0002-3077-8951 IP2I, Lyon Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, F-69100, France Sauniere, L. Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Sauvage, M. ORCID:0000-0002-0809-2574 AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Sawicki, M. ORCID:0000-0002-7712-7857 St. Mary's U., Halifax Department of Astronomy \& Physics and Institute for Computational Astrophysics, Saint Mary's University, 923 Robie Street, Halifax, Nova Scotia, B3H 3C3, Canada Scaramella, R. ORCID:0000-0003-2229-193X Rome Observ. Rome U. INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy INFN-Sezione di Roma, Piazzale Aldo Moro, 2 - c/o Dipartimento di Fisica, Edificio G. Marconi, 00185 Roma, Italy Scarlata, C. ORCID:0000-0002-9136-8876 Minnesota U. Minnesota Institute for Astrophysics, University of Minnesota, 116 Church St SE, Minneapolis, MN 55455, USA Scharré, L. ORCID:0000-0003-2551-4430 LASTRO Observ. Institute of Physics, Laboratory for Galaxy Evolution, Ecole Polytechnique Fédérale de Lausanne, Observatoire de Sauverny, CH-1290 Versoix, Switzerland Schaye, J. ORCID:0000-0002-0668-5560 Leiden Observ. Leiden Observatory, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands Schewtschenko, J.A. Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Schindler, J.-T. ORCID:0000-0002-4544-8242 Hamburg Observ. Hamburger Sternwarte, University of Hamburg, Gojenbergsweg 112, 21029 Hamburg, Germany Schinnerer, E. ORCID:0000-0002-3933-7677 Heidelberg, Max Planck Inst. Astron. Max-Planck-Institut für Astronomie, Königstuhl 17, 69117 Heidelberg, Germany Schirmer, M. ORCID:0000-0003-2568-9994 Heidelberg, Max Planck Inst. Astron. Max-Planck-Institut für Astronomie, Königstuhl 17, 69117 Heidelberg, Germany Schmidt, M. ESOC, Darmstadt European Space Agency/ESOC, Robert-Bosch-Str. 5, 64293 Darmstadt, Germany Schneider, A. ORCID:0000-0001-7055-8104 Zurich U. Department of Astrophysics, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland Schneider, M. ESOC, Darmstadt European Space Agency/ESOC, Robert-Bosch-Str. 5, 64293 Darmstadt, Germany Schneider, P. ORCID:0000-0001-8561-2679 Argelander Inst. Astron. Universität Bonn, Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany Schöneberg, N. ORCID:0000-0002-7873-0404 Barcelona, IEEC Institut de Ciències del Cosmos Schrabback, T. ORCID:0000-0002-6987-7834 Innsbruck U. Universität Innsbruck, Institut für Astro- und Teilchenphysik, Technikerstr. 25/8, 6020 Innsbruck, Austria Schultheis, M. OCA, Nice, Lab. Lagrange Université Côte d'Azur, Observatoire de la Côte d'Azur, CNRS, Laboratoire Lagrange, Bd de l'Observatoire, CS 34229, 06304 Nice cedex 4, France Schulz, S. ORCID:0000-0002-8235-9986 Zurich U. Department of Astrophysics, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland Schuster, N. Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Schwartz, J. ESOC, Darmstadt European Space Agency/ESOC, Robert-Bosch-Str. 5, 64293 Darmstadt, Germany Sciotti, D. ORCID:0009-0008-4519-2620 Rome Observ. Rome U. INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy INFN-Sezione di Roma, Piazzale Aldo Moro, 2 - c/o Dipartimento di Fisica, Edificio G. Marconi, 00185 Roma, Italy Scodeggio, M. IASF, Milan INAF-IASF Milano, Via Alfonso Corti 12, 20133 Milano, Italy Scognamiglio, D. ORCID:0000-0001-8450-7885 Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA Scott, D. ORCID:0000-0002-6878-9840 British Columbia U. Department of Physics and Astronomy, University of British Columbia, Vancouver, BC V6T 1Z1, Canada Scottez, V. Paris U. VI, GRECO Lille 2 U. Institut d'Astrophysique de Paris, 98bis Boulevard Arago, 75014, Paris, France Junia, EPA department, 41 Bd Vauban, 59800 Lille, France Secroun, A. ORCID:0000-0003-0505-3710 Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Sefusatti, E. ORCID:0000-0003-0473-1567 Trieste Observ. SISSA, Trieste IFPU, Trieste INFN, Trieste INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy Seidel, G. ORCID:0000-0003-2907-353X Heidelberg, Max Planck Inst. Astron. Max-Planck-Institut für Astronomie, Königstuhl 17, 69117 Heidelberg, Germany Seiffert, M. ORCID:0000-0002-7536-9393 Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA Sellentin, E. Leiden U. Leiden Observ. Mathematical Institute, University of Leiden, Niels Bohrweg 1, 2333 CA Leiden, The Netherlands Leiden Observatory, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands Selwood, M. Bristol U. School of Physics, HH Wills Physics Laboratory, University of Bristol, Tyndall Avenue, Bristol, BS8 1TL, UK Semboloni, E. Leiden U. Institute Lorentz, Leiden University, Niels Bohrweg 2, 2333 CA Leiden, The Netherlands Sereno, M. ORCID:0000-0003-0302-0325 Bologna Observ. INFN, Bologna INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Serjeant, S. ORCID:0000-0002-0517-7943 Open U., England School of Physical Sciences, The Open University, Milton Keynes, MK7 6AA, UK Serrano, S. ORCID:0000-0002-0211-2861 Barcelona, IEEC IKERBASQUE, Bilbao Institut d'Estudis Espacials de Catalunya Satlantis, University Science Park, Sede Bld 48940, Leioa-Bilbao, Spain Institute of Space Sciences Setnikar, G. Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, F-69100, France Shankar, F. ORCID:0000-0001-8973-5051 Southampton U. School of Physics \& Astronomy, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK Sharples, R.M. ORCID:0000-0003-3449-8583 Durham U. Department of Physics, Centre for Extragalactic Astronomy, Durham University, South Road, DH1 3LE, UK Short, A. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Shulevski, A. ORCID:0000-0002-1827-0469 ASTRON, Dwingeloo Kapteyn Astron. Inst., Groningen Amsterdam U., Astron. Inst. ASTRON, the Netherlands Institute for Radio Astronomy, Postbus 2, 7990 AA, Dwingeloo, The Netherlands Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands Anton Pannekoek Institute for Astronomy, University of Amsterdam, Postbus 94249, 1090 GE Amsterdam, The Netherlands Shuntov, M. ORCID:0000-0002-7087-0701 Paris U. VI, GRECO Bohr Inst. Institut d'Astrophysique de Paris, 98bis Boulevard Arago, 75014, Paris, France Cosmic Dawn Center Niels Bohr Institute, University of Copenhagen, Jagtvej 128, 2200 Copenhagen, Denmark Sias, M. Thales Alenia Space Italia, Turin Thales Alenia Space -- Euclid satellite Prime contractor, Strada Antica di Collegno 253, 10146 Torino, Italy Sikkema, G. Kapteyn Astron. Inst., Groningen Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands Silvestri, A. ORCID:0000-0001-6904-5061 Leiden U. Institute Lorentz, Leiden University, Niels Bohrweg 2, 2333 CA Leiden, The Netherlands Simon, P. Argelander Inst. Astron. Universität Bonn, Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany Sirignano, C. ORCID:0000-0002-0995-7146 INFN, Padua Padua U. Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Sirri, G. ORCID:0000-0003-2626-2853 INFN, Bologna INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Skottfelt, J. ORCID:0000-0003-1310-8283 Open U., England Centre for Electronic Imaging, Open University, Walton Hall, Milton Keynes, MK7 6AA, UK Slezak, E. ORCID:0000-0003-4771-7263 OCA, Nice, Lab. Lagrange Université Côte d'Azur, Observatoire de la Côte d'Azur, CNRS, Laboratoire Lagrange, Bd de l'Observatoire, CS 34229, 06304 Nice cedex 4, France Sluse, D. ORCID:0000-0001-6116-2095 Liege U. STAR Institute, Quartier Agora - Allée du six Août, 19c B-4000 Liège, Belgium Smith, G.P. ORCID:0000-0003-4494-8277 Birmingham U. School of Physics and Astronomy, University of Birmingham, Birmingham, B15 2TT, UK Smith, L.C. ORCID:0000-0002-3259-2771 Cambridge U., Inst. of Astron. Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK Smith, R.E. ORCID:0000-0001-9989-2149 Sussex U. Department of Physics \& Astronomy, University of Sussex, Brighton BN1 9QH, UK Smit, S.J.A. Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Soldano, F. Paris, Inst. Astrophys. Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France Solheim, B.G.B. ORCID:0009-0008-2307-2978 Intel, Santa Clara Clara Venture Labs AS, Fantoftvegen 38, 5072 Bergen, Norway Sorce, J.G. ORCID:0000-0002-2307-2432 LPP, Lille Orsay, IAS Potsdam, Astrophys. Inst. Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, 59000 Lille, France Université Paris-Saclay, CNRS, Institut d'astrophysique spatiale, 91405, Orsay, France Leibniz-Institut für Astrophysik Sorrenti, F. ORCID:0000-0001-7141-9659 Geneva U. Université de Genève, Département de Physique Théorique and Centre for Astroparticle Physics, 24 quai Ernest-Ansermet, CH-1211 Genève 4, Switzerland Soubrie, E. ORCID:0000-0001-9295-1863 Orsay, IAS Université Paris-Saclay, CNRS, Institut d'astrophysique spatiale, 91405, Orsay, France Spinoglio, L. ORCID:0000-0001-8840-1551 INAF, IAPS, Rome INAF-Istituto di Astrofisica e Planetologia Spaziali, via del Fosso del Cavaliere, 100, 00100 Roma, Italy Spurio Mancini, A. ORCID:0000-0001-5698-0990 Royal Holloway, U. of London Mullard Space Sci. Lab. Department of Physics,Royal Holloway,University of London,TW20 0EX,UK Mullard Space Science Laboratory,University College London,Holmbury St Mary,Dorking,Surrey RH5 6NT,UK Stadel, J. ORCID:0000-0001-7565-8622 Zurich U. Department of Astrophysics, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland Stagnaro, L. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Stanco, L. ORCID:0000-0002-9706-5104 INFN, Padua INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Stanford, S.A. ORCID:0000-0003-0122-0841 UC, Davis Department of Physics and Astronomy, University of California, Davis, CA 95616, USA Starck, J.-L. ORCID:0000-0003-2177-7794 AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Stassi, P. ORCID:0000-0001-5584-8410 LPSC, Grenoble Univ. Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 53, Avenue des Martyrs, 38000, Grenoble, France Steinwagner, J. Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Stern, D. ORCID:0000-0003-2686-9241 Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA Stone, C. ORCID:0000-0002-9086-6398 McGill U. Department of Physics, Université de Montréal, 2900 Edouard Montpetit Blvd, Montréal, Québec H3T 1J4, Canada Strada, P. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Strafella, F. ORCID:0000-0002-8757-9371 Salento U. INFN, Lecce Department of Mathematics and Physics E. De Giorgi, University of Salento, Via per Arnesano, CP-I93, 73100, Lecce, Italy INAF-Sezione di Lecce, c/o Dipartimento Matematica e Fisica, Via per Arnesano, 73100, Lecce, Italy INFN, Sezione di Lecce, Via per Arnesano, CP-193, 73100, Lecce, Italy Stramaccioni, D. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Surace, C. ORCID:0000-0003-2592-0113 Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Sureau, F. AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Suyu, S.H. ORCID:0000-0001-5568-6052 Munich, Tech. U. Garching, Max Planck Inst. Academia Sinica, Taiwan Technical University of Munich, TUM School of Natural Sciences, Physics Department, James-Franck-Str. 1, 85748 Garching, Germany Max-Planck-Institut für Astrophysik, Karl-Schwarzschild-Str. 1, 85748 Garching, Germany Academia Sinica Institute of Astronomy and Astrophysics Swindells, I. Unlisted, UK Teledyne E2V, 106, Waterhouse Lane, Chelmsford, CM1 2QU, UK Szafraniec, M. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Szapudi, I. ORCID:0000-0003-2274-0301 Inst. Astron., Honolulu Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822, USA Taamoli, S. ORCID:0000-0003-0749-4667 UC, Riverside Physics and Astronomy Department, University of California, 900 University Ave., Riverside, CA 92521, USA Talia, M. ORCID:0000-0003-4352-2063 U. Bologna, DIFA Bologna Observ. Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, via Piero Gobetti 93/2, 40129 Bologna, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Tallada-Crespí, P. Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas Port d'Informació Científica, Campus UAB, C. Albareda s/n, 08193 Bellaterra Tanidis, K. Oxford U. Department of Physics, Oxford University, Keble Road, Oxford OX1 3RH, UK Tao, C. ORCID:0000-0001-7961-8177 Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Tarrío, P. ORCID:0000-0002-0915-0131 Madrid Observ. AIM, Saclay Observatorio Astronómico Nacional, IGN, Calle Alfonso XII 3, E-28014 Madrid, Spain Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Tavagnacco, D. ORCID:0000-0001-7475-9894 Trieste Observ. INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Taylor, A.N. Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Taylor, J.E. ORCID:0000-0002-6639-4183 Waterloo U. Waterloo U., Math. Dept. Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada Waterloo Centre for Astrophysics, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada Taylor, P.L. Chicago U., KICP Ohio State U. Center for Cosmology and AstroParticle Physics, The Ohio State University, 191 West Woodruff Avenue, Columbus, OH 43210, USA Department of Physics, The Ohio State University, Columbus, OH 43210, USA Teixeira, E.M. ORCID:0000-0001-7417-0780 U. Montpellier 2, LUPM Laboratoire univers et particules de Montpellier, Université de Montpellier, CNRS, 34090 Montpellier, France Tenti, M. ORCID:0000-0002-4254-5901 INFN, Bologna INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Idiago, P. Teodoro ESA, Madrid Aurora Technology for European Space Agency Teplitz, H.I. ORCID:0000-0002-7064-5424 Caltech Infrared Processing and Analysis Center, California Institute of Technology, Pasadena, CA 91125, USA Tereno, I. Lisbon U. Lisbon Astron. Observ. Departamento de Física, Faculdade de Ciências, Universidade de Lisboa, Edifício C8, Campo Grande, PT1749-016 Lisboa, Portugal Instituto de Astrofísica e Ciências do Espaço, Faculdade de Ciências, Universidade de Lisboa, Tapada da Ajuda, 1349-018 Lisboa, Portugal Tessore, N. ORCID:0000-0002-9696-7931 University Coll. London Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK Testa, V. ORCID:0000-0003-1033-1340 Rome Observ. INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Testera, G. MIT, Cambridge, Dept. Phys. INFN, Genoa INFN-Sezione di Genova, Via Dodecaneso 33, 16146, Genova, Italy Tewes, M. ORCID:0000-0002-1155-8689 Argelander Inst. Astron. Universität Bonn, Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany Teyssier, R. ORCID:0000-0001-7689-0933 Princeton U., Astrophys. Sci. Dept. Department of Astrophysical Sciences, Peyton Hall, Princeton University, Princeton, NJ 08544, USA Theret, N. CNES, Toulouse Centre National d'Etudes Spatiales -- Centre spatial de Toulouse, 18 avenue Edouard Belin, 31401 Toulouse Cedex 9, France Thizy, C. Liege U. Centre Spatial de Liege, Universite de Liege, Avenue du Pre Aily, 4031 Angleur, Belgium Thomas, P.D. Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Toba, Y. ORCID:0000-0002-3531-7863 Natl. Astron. Observ. of Japan National Astronomical Observatory of Japan, 2-21-1 Osawa, Mitaka, Tokyo 181-8588, Japan Toft, S. ORCID:0000-0003-3631-7176 Bohr Inst. DARK Cosmology Ctr. Cosmic Dawn Center Niels Bohr Institute, University of Copenhagen, Jagtvej 128, 2200 Copenhagen, Denmark Toledo-Moreo, R. ORCID:0000-0002-2997-4859 Cartagena Politecnica U. Universidad Politécnica de Cartagena, Departamento de Electrónica y Tecnología de Computadoras, Plaza del Hospital 1, 30202 Cartagena, Spain Tolstoy, E. Kapteyn Astron. Inst., Groningen Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands Tommasi, E. ASI, Rome Italian Space Agency, via del Politecnico snc, 00133 Roma, Italy Torbaniuk, O. ORCID:0000-0003-4465-2564 U. Bologna, DIFA Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, via Piero Gobetti 93/2, 40129 Bologna, Italy Torradeflot, F. ORCID:0000-0003-1160-1517 Barcelona, IFAE Madrid, CIEMAT Port d'Informació Científica, Campus UAB, C. Albareda s/n, 08193 Bellaterra Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas Tortora, C. ORCID:0000-0001-7958-6531 Capodimonte Observ. INAF-Osservatorio Astronomico di Capodimonte, Via Moiariello 16, 80131 Napoli, Italy Tosi, S. ORCID:0000-0002-7275-9193 Genoa U. MIT, Cambridge, Dept. Phys. INFN, Genoa Dipartimento di Fisica, Università di Genova, Via Dodecaneso 33, 16146, Genova, Italy INFN-Sezione di Genova, Via Dodecaneso 33, 16146, Genova, Italy Tosti, S. Orsay, IAS Université Paris-Saclay, CNRS, Institut d'astrophysique spatiale, 91405, Orsay, France Trifoglio, M. ORCID:0000-0002-2505-3630 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Troja, A. ORCID:0000-0003-0239-4595 INFN, Padua Padua U. Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Trombetti, T. ORCID:0000-0001-5166-2467 Bologna, Ist. Radioastronomia INAF, Istituto di Radioastronomia, Via Piero Gobetti 101, 40129 Bologna, Italy Tronconi, A. ORCID:0000-0003-1913-9654 INFN, Bologna Bologna U. INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Tsedrik, M. ORCID:0000-0002-0020-5343 Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Tsyganov, A. Groningen U. Centre for Information Technology, University of Groningen, P.O. Box 11044, 9700 CA Groningen, The Netherlands Tucci, M. U. Geneva (main) Department of Astronomy, University of Geneva, ch. d'Ecogia 16, 1290 Versoix, Switzerland Tutusaus, I. ORCID:0000-0002-3199-0399 IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie Uhlemann, C. ORCID:0000-0001-7831-1579 Bielefeld U. Newcastle U., United Kingdom Fakultät für Physik, Universität Bielefeld, Postfach 100131, 33501 Bielefeld, Germany School of Mathematics, Statistics and Physics, Newcastle University, Herschel Building, Newcastle-upon-Tyne, NE1 7RU, UK Ulivi, L. ORCID:0009-0001-3291-5382 TIFPA-INFN, Trento Florence U. Trieste Observ. University of Trento, Via Sommarive 14, I-38123 Trento, Italy Dipartimento di Fisica e Astronomia, Università di Firenze, via G. Sansone 1, 50019 Sesto Fiorentino, Firenze, Italy INAF-Osservatorio Astrofisico di Arcetri, Largo E. Fermi 5, 50125, Firenze, Italy Urbano, M. ORCID:0000-0001-5640-0650 Strasbourg Observ. Université de Strasbourg, CNRS, Observatoire astronomique de Strasbourg, UMR 7550, 67000 Strasbourg, France Vacher, L. ORCID:0000-0001-9551-1417 SISSA, Trieste SISSA, International School for Advanced Studies, Via Bonomea 265, 34136 Trieste TS, Italy Vaillon, L. Astrium GmbH, Friedrichshafen Airbus Defence \& Space SAS, Toulouse, France Valageas, P. Institut de Physique Théorique, CEA, CNRS, Université Paris-Saclay 91191 Gif-sur-Yvette Cedex, France Valdes, I. ORCID:0009-0002-8551-9372 Inst. Astron., Honolulu Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822, USA Valentijn, E.A. Kapteyn Astron. Inst., Groningen Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands Valenziano, L. ORCID:0000-0002-1170-0104 Bologna Observ. INFN, Bologna INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy INFN-Bologna, Via Irnerio 46, 40126 Bologna, Italy Valieri, C. INFN, Bologna INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Valiviita, J. ORCID:0000-0001-6225-3693 Helsinki U. Helsinki Inst. of Phys. Department of Physics, P.O. Box 64, 00014 University of Helsinki, Finland Helsinki Institute of Physics, Gustaf Hällströmin katu 2, University of Helsinki, Helsinki, Finland Van den Broeck, M. ESOC, Darmstadt Unlisted, DE European Space Agency/ESOC, Robert-Bosch-Str. 5, 64293 Darmstadt, Germany Telespazio Germany GmbH, Europapl. 5, 64293 Darmstadt, Germany Vassallo, T. ORCID:0000-0001-6512-6358 Munich U. Trieste Observ. Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Vavrek, R. ESA, Madrid ESAC/ESA, Camino Bajo del Castillo, s/n., Urb. Villafranca del Castillo, 28692 Villanueva de la Cañada, Madrid, Spain Vega-Ferrero, J. Centro de Estudios de Física del Cosmos de Aragón Departamento de Física Teórica, Atómica y Óptica, Universidad de Valladolid, 47011 Valladolid, Spain Venemans, B. ORCID:0000-0001-9024-8322 Leiden Observ. Leiden Observatory, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands Venhola, A. ORCID:0000-0001-6071-4564 Oulu U. Space physics and astronomy research unit, University of Oulu, Pentti Kaiteran katu 1, FI-90014 Oulu, Finland Ventura, S. INFN, Padua INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Kleijn, G. Verdoes ORCID:0000-0001-5803-2580 Kapteyn Astron. Inst., Groningen Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands Vergani, D. ORCID:0000-0003-0898-2216 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Verma, A. ORCID:0000-0002-0730-0781 Oxford U. Department of Physics, Oxford University, Keble Road, Oxford OX1 3RH, UK Vernizzi, F. ORCID:0000-0003-3426-2802 IPhT, Saclay Institut de Physique Théorique, CEA, CNRS, Université Paris-Saclay 91191 Gif-sur-Yvette Cedex, France Veropalumbo, A. ORCID:0000-0003-2387-1194 Brera Observ. MIT, Cambridge, Dept. Phys. INFN, Genoa Genoa U. INAF-Osservatorio Astronomico di Brera, Via Brera 28, 20122 Milano, Italy INFN-Sezione di Genova, Via Dodecaneso 33, 16146, Genova, Italy Dipartimento di Fisica, Università degli studi di Genova, and INFN-Sezione di Genova, via Dodecaneso 33, 16146, Genova, Italy Verza, G. ORCID:0000-0002-1886-8348 New York U., CCPP Center for Cosmology and Particle Physics, Department of Physics, New York University, New York, NY 10003, USA Center for Computational Astrophysics, Flatiron Institute, 162 5th Avenue, 10010, New York, NY, USA Vescovi, C. LPSC, Grenoble Univ. Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 53, Avenue des Martyrs, 38000, Grenoble, France Vibert, D. ORCID:0009-0008-0607-631X Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Viel, M. ORCID:0000-0002-2642-5707 SISSA, Trieste IFPU, Trieste INFN, Trieste Trieste Observ. Salento U. IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy SISSA, International School for Advanced Studies, Via Bonomea 265, 34136 Trieste TS, Italy INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy ICSC - Centro Nazionale di Ricerca in High Performance Computing, Big Data e Quantum Computing, Via Magnanelli 2, Bologna, Italy Vielzeuf, P. ORCID:0000-0003-2035-9339 Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Viglione, C. Barcelona, IEEC Institut d'Estudis Espacials de Catalunya Institute of Space Sciences Viitanen, A. ORCID:0000-0001-9383-786X Helsinki Inst. of Phys. Rome Observ. Department of Physics and Helsinki Institute of Physics, Gustaf Hällströmin katu 2, 00014 University of Helsinki, Finland INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Villaescusa-Navarro, F. ORCID:0000-0002-4816-0455 New York U., CCPP Princeton U., Astrophys. Sci. Dept. Center for Computational Astrophysics, Flatiron Institute, 162 5th Avenue, 10010, New York, NY, USA Department of Astrophysical Sciences, Peyton Hall, Princeton University, Princeton, NJ 08544, USA Vinciguerra, S. Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Visticot, F. AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Voggel, K. ORCID:0000-0001-6215-0950 Strasbourg Observ. Université de Strasbourg, CNRS, Observatoire astronomique de Strasbourg, UMR 7550, 67000 Strasbourg, France von Wietersheim-Kramsta, M. ORCID:0000-0003-4986-5091 Durham U., ICC Durham U. University Coll. London Department of Physics, Institute for Computational Cosmology, Durham University, South Road, DH1 3LE, UK Department of Physics, Centre for Extragalactic Astronomy, Durham University, South Road, DH1 3LE, UK Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK Vriend, W.J. Kapteyn Astron. Inst., Groningen Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands Wachter, S. Carnegie Inst. Observ. Caltech Carnegie Observatories, Pasadena, CA 91101, USA Walmsley, M. ORCID:0000-0002-6408-4181 Toronto U., Astron. Dept. Jodrell Bank David A. Dunlap Department of Astronomy \& Astrophysics, University of Toronto, 50 St George Street, Toronto, Ontario M5S 3H4, Canada Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, UK Walth, G. ORCID:0000-0002-6313-6808 Caltech Caltech/IPAC, 1200 E. California Blvd., Pasadena, CA 91125, USA Walton, D.M. Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Walton, N.A. ORCID:0000-0003-3983-8778 Cambridge U., Inst. of Astron. Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK Wander, M. Open U., England Centre for Electronic Imaging, Open University, Walton Hall, Milton Keynes, MK7 6AA, UK Wang, L. ORCID:0000-0002-6736-9158 Kapteyn Astron. Inst., Groningen SRON Netherlands Institute for Space Research, Landleven 12, 9747 AD, Groningen, The Netherlands Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands Wang, Y. ORCID:0000-0002-4749-2984 Caltech Infrared Processing and Analysis Center, California Institute of Technology, Pasadena, CA 91125, USA Weaver, J.R. ORCID:0000-0003-1614-196X Massachusetts U., Amherst Department of Astronomy, University of Massachusetts, Amherst, MA 01003, USA Weller, J. ORCID:0000-0002-8282-2010 Munich U. Garching, Max Planck Inst., MPE Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Wetzstein, M. Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Whalen, D.J. ORCID:0000-0001-6646-2337 Portsmouth U., ICG Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK Whittam, I.H. Department of Physics, Oxford University, Keble Road, Oxford OX1 3RH, UK Department of Physics and Astronomy, University of the Western Cape, Bellville, Cape Town, 7535, South Africa Widmer, A. Université Paris Cité, CNRS, Astroparticule et Cosmologie, 75013 Paris, France Wiesmann, M. ORCID:0009-0000-8199-5860 Inst. Theor. Astrophys., Oslo Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, 0315 Oslo, Norway Wilde, J. ORCID:0000-0002-4460-7379 Open U., England School of Physical Sciences, The Open University, Milton Keynes, MK7 6AA, UK Williams, O.R. ORCID:0000-0003-0274-1526 Groningen U. Centre for Information Technology, University of Groningen, P.O. Box 11044, 9700 CA Groningen, The Netherlands Winther, H.-A. ORCID:0000-0002-6325-2710 Inst. Theor. Astrophys., Oslo Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, 0315 Oslo, Norway Wittje, A. ORCID:0000-0002-8173-3438 Ruhr U., Bochum Ruhr University Bochum, Faculty of Physics and Astronomy, Astronomical Institute Wong, J.H.W. ORCID:0000-0001-7133-7741 Jodrell Bank Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, UK Wright, A.H. ORCID:0000-0001-7363-7932 Ruhr U., Bochum Ruhr University Bochum, Faculty of Physics and Astronomy, Astronomical Institute Yankelevich, V. ORCID:0000-0001-8288-7335 Rutherford RAL Space, Rutherford Appleton Laboratory, STFC, UKRI, Harwell Campus, Oxfordshire, OX11 0QX, UK Yeung, H.W. ORCID:0000-0002-4993-9014 Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Yoon, M. Leiden Observatory, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands Youles, S. ORCID:0000-0002-7520-5911 Portsmouth U., ICG Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK Yung, L.Y.A. ORCID:0000-0003-3466-035X NASA, Goddard Baltimore, Space Telescope Sci. NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA Space Telescope Science Institute, 3700 San Martin Dr, Baltimore, MD 21218, USA Zacchei, A. ORCID:0000-0003-0396-1192 Trieste Observ. SISSA, Trieste IFPU, Trieste INFN, Trieste INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy Zalesky, L. ORCID:0000-0001-5680-2326 Inst. Astron., Honolulu Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822, USA Zamorani, G. ORCID:0000-0002-2318-301X Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Vitorelli, A. Zamorano ORCID:0000-0002-9740-4591 Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA Marc, M. Zanoni Astrium GmbH, Friedrichshafen Airbus Defence \& Space SAS, Toulouse, France Zennaro, M. ORCID:0000-0002-4458-1754 Oxford U. Department of Physics, Oxford University, Keble Road, Oxford OX1 3RH, UK Zerbi, F.M. Brera Observ. INAF-Osservatorio Astronomico di Brera, Via Brera 28, 20122 Milano, Italy Zinchenko, I.A. Munich U. Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Zoubian, J. Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Zucca, E. ORCID:0000-0002-5845-8132 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Zumalacarregui, M. ORCID:0000-0002-9943-6490 Potsdam, Max Planck Inst. Max Planck Institute for Gravitational Physics Euclid Collaboration A1 Astron. Astrophys. 697 2025 2532062 523206 http://cds.cern.ch/record/2898602/files/euclid_overview_morphology.png 00045 Illustration of \Euclid's capabilities to measure galaxy morphologies. {\it Top panels:} Example of a simulated galaxy observed with VIS as compared to \gls{HST} and Subaru. The horizontal black line indicates a $1^{"}$ length. {\it Middle panels:} Comparison of the bias (left column), dispersion (middle column) and outlier fraction (right column) of the effective radii (top row), axis ratio (middle row) and \Sersic~index (bottom row) for the best-fit \Sersic~profiles obtained with different state-of-the art surface brightness fitting codes applied to simulated \Euclid galaxies as a function of \IE. \Sersic~parameters can be obtained with errors smaller than $\sim10\%$ down to a \IE=24. {\it Bottom panels:} Accuracy of deep learning based morphological classifications on simulated \Euclid observations of galaxies trained on human based labels. The confusion matrices show the accuracy for identifying spiral arms (left) and clumpy galaxies (right). Figure adapted from~\cite{2024arXiv240210187E} and~\cite{Bretonniere-EP26} 2532063 122389 http://cds.cern.ch/record/2898602/files/step_and_stare.png 00014 \Euclid's main step-and-stare observing mode, showing north-south steps along a circle as rotations around the $X$-axis. \Euclid can tilt to another circle by rotating around the $Y$-axis. 2532064 584055 http://cds.cern.ch/record/2898602/files/triangle_LCDM_gamma_3x2pt_GCsp_zoomin_no_frame.png 00042 Similar to \cref{fig:triangle_plot_w0waCDM}, but for the $\Lambda$CDM + $\gamma_{\rm g}$ model (adopting a flat geometry). We show the 1D-posterior distribution for the $\gamma_{\rm g}$ parameter in detail, citing the corresponding 1-sigma uncertainty associated to each probe as well as for the combination of both. 2532065 596172 http://cds.cern.ch/record/2898602/files/pv01_vis_cutout_2_drk_stk.png 00027 VIS view of a $\ang{;2.5;}\times\ang{;2.0;}$ wide area of \Euclid's self-calibration field (\cref{sec:selfcal_EUDF}) taken during the \gls{PV} phase. \textit{Left}: An unprocessed single exposure, where cosmic rays are clearly visible. \textit{Right}: A VIS-processed stack using 42 exposures, or about 10 times the exposure time of the EWS. The ability of \Euclid to reveal low-surface-brightness features is evident. 2532066 62538 http://cds.cern.ch/record/2898602/files/xrayfig_overview.png 00020 Point-like cosmic-ray density in VIS during a low M-class solar flare. The cosmic rays are caused by X-rays impinging onto the detectors after penetrating \Euclid's sunshield in some gaps between the solar cells, causing characteristic geometric patterns. During rare but bright X-class flares, up to 25\% of the VIS detector area must be masked. The location of the pattern and its shape depends strongly on the \gls{LOS} of VIS towards the Sun through the sunshield, and thus on the spacecraft's attitude. 2532067 56570 http://cds.cern.ch/record/2898602/files/spectrograms.png 00029 An example of \gls{NISP} spectroscopic data for a galaxy in the COSMOS field with $z=1.1770\pm0.0005$ \citep{Mainieri2007} The top figure shows the four spectrograms, with the H$\alpha$ line clearly visible. The bottom plot shows the corresponding combined and flux-calibrated 1D spectrum (in black) and its associated statistical noise (in orange), while the green line shows the combined continuum and emission line model that fits the data best. The bright H$\alpha$ line is detected with $\text{S/N}=14$ yielding a redshift of $z=1.1783\pm0.0005$ (vertical blue line), which is in agreement with the previously published value. The flux of the line, $f_{{\rm H}\alpha}=2\times 10^{-15}$\,erg\,cm$^{-2}$\,s$^{-1}$, is approximately ten times higher than the limiting flux for the \gls{EWS}. 2532068 75756 http://cds.cern.ch/record/2898602/files/HOWLS_rescaled.png 00043 Constraints on $\sigma_8$ and $w_0$ from a Fisher analysis of $\xi_\pm$ and the convergence \gls{PDF}, when keeping all other cosmological parameters fixed, normalised by the constraints of second-order statistics alone. We assumed a \Euclid-like source redshift distribution to derive the results. The $\xi_+$ and $\xi_-$ values were taken in the range of \ang{;1.65;} to \ang{;201;}. The \gls{PDF} was measured for convergence fields smoothed by a tophat filter of radius \ang{;4.69;}. Covariances were estimated from the SLICS \citep{Harnois-Deraps2018}, derivatives were either modelled analytically (dashed lines) or estimated from the DUSTGRAIN-pathfinder simulations \citep[][solid lines]{Giocoli2018}. 2532069 31522977 http://cds.cern.ch/record/2898602/files/2405.13491.pdf Fulltext 2532070 46479 http://cds.cern.ch/record/2898602/files/GCphot-nonlinear.png 00040 Ratio of photometric galaxy clustering $C_\ell$ between different nonlinear models and the result for {\tt Euclid Emulator 2}, for the auto-correlation of the redshift bin centred at $z=0.83446$. Also shown is the expected \Euclid error bar, including the contribution from super-sample covariance. 2532071 7015524 http://cds.cern.ch/record/2898602/files/AllSkyEuclid.MollweideReferenceSurvey.MOL.article.png 00024 EWS coverage and colour-coded yearly progress in an all-sky Mollweide projection. The blue borders enclose the $16\,000\,\deg^2$ \gls{ROI} that contains the $13\,416\,\deg^2$ observed sky of the \gls{EWS}. Small dark regions within the \gls{EWS} are masks for stars brighter than $4$\,AB\,mag. 2532072 158553 http://cds.cern.ch/record/2898602/files/Xip_Euclid_KiDS_DES_HSC_Y3.png 00002 Shear correlation function $\xi_+(\theta)$ for \gls{KiDS}-1000 (left, from \citealp{Asgari2021}), \gls{DES} Y3 (middle, from \citealp{Amon2022}), and \gls{HSC} Y3 (right, from \citealp{Li2023}), and expected for \Euclid. Each panel uses sources distributed according to the tomographic bin with the highest \gls{S/N} of the respective survey. The \gls{S/N} for \Euclid is an order of magnitude larger than that of the most recent surveys. The other shear correlation function $\xi_-(\theta)$ shows a similar improvement in S/N (not shown). 2532073 647120 http://cds.cern.ch/record/2898602/files/pv01_vis_cutout_2_drk_det.png 00026 VIS view of a $\ang{;2.5;}\times\ang{;2.0;}$ wide area of \Euclid's self-calibration field (\cref{sec:selfcal_EUDF}) taken during the \gls{PV} phase. \textit{Left}: An unprocessed single exposure, where cosmic rays are clearly visible. \textit{Right}: A VIS-processed stack using 42 exposures, or about 10 times the exposure time of the EWS. The ability of \Euclid to reveal low-surface-brightness features is evident. 2532074 84764 http://cds.cern.ch/record/2898602/files/euclid-timeline.png 00035 Tentative timeline for public data releases, indicating the three main \glspl{DR} as well as four smaller quick releases (Q1--Q4). The moment of release is linked to the start of early survey operations, but unforeseen changes to the mission operation may lead to some changes to this nominal schedule. 2532075 43349 http://cds.cern.ch/record/2898602/files/Fiducial-Photo-d-d.png 00039 Similar to \cref{fig:CLOE_euclid_probes_WL}, but for the photometric galaxy clustering (gg) for the auto-correlation between the 13 photometric redshift bins shown in \cref{fig:nzbins}. 2532076 669231 http://cds.cern.ch/record/2898602/files/triangle_w0waCDM_3x2pt_GCsp_zoomin_no_frame.png 00041 Forecast of the constraints for the $w_0$$w_a$CDM cosmological model (adopting a flat geometry) using only the {\it Euclid} primary probes, as described in \cref{sec:spv3}. The sampled parameter space also included the cosmological parameters ($\Omega_{\rm b} h^2$, $\Omega_{\rm c} h^2$, $H_0$, $n_{\rm s}$, $A_{\rm s}$, $w_0$ and $w_a$) and several nuisance parameters listed in \cref{tab:fiducial_model}. The grey dashed lines show the fiducial values of the parameters, that are also listed in \cref{tab:fiducial_model}. The posterior distributions were obtained using \texttt{CLOE} v2.0.2 and the sampler \texttt{Polychord}, with 800 live points and 0.01 as the precision criterion. For the photometric probes (cosmic shear, photometric angular clustering, and galaxy-galaxy-lensing), we used $\ell_{\rm max} = 3000$, while for the spectroscopic probe we used, $k_{\rm max} = 0.3\,h\,{\rm Mpc}^{-1}$. We show the 2D-posterior distribution for the parameters $w_0$ and $w_a$ in detail, citing the corresponding \gls{FOM} obtained for each probe as well as for the combination of both. 2532077 148257 http://cds.cern.ch/record/2898602/files/straylight_in_VIS.png 00021 Impact of the spacecraft orientation on the VIS background. \textit{Left}: At ${\rm AA}=0$ considerable stray light levels are present that exceed the zodiacal background by more than one order of magnitude. \textit{Right}: For ${\rm AA}<-\ang{2.9;;}$ the stray light is reduced to a few percent of the zodiacal background. It still needs to be modelled for some calibrations and low-surface-brightness science. 2532078 7044 http://cds.cern.ch/record/2898602/files/calib_bar_chart_global.png 00016 Breakdown of activities during routine operations. The blue bars provide on-sky data that are simultaneously valuable for science, target characterisation, and calibration purposes; the instruments take additional calibration data while the data processing units are busy with the science exposures, and while the telescope is slewing. The yellow bar represents pure hardware calibration with little or no astrophysical relevance. Unallocated time arises because the survey runs out of unobserved sky areas (\cref{sec:unallocatedtime}). 2532079 1669529 http://cds.cern.ch/record/2898602/files/euclid_CAD_annotated.png 00007 3D digital rendering of the instrument cavity. In this orientation the telescope is below the assembly and observing towards the bottom. For clarity, we have added the principal light path and optical components to the rendering; dashed lines are obstructed from the chosen point of view. The large structure to the right of NISP is its outward-facing radiator. It can be clearly seen in the photograph shown in \cref{fig:SC}. Figure credit: \gls{ADS}, annotations by the authors. 2532080 15281 http://cds.cern.ch/record/2898602/files/wgl_z_snr.png 00048 Predicted signal-to-noise ratio of the weak gravitational lensing signal (the tangential shear) per angular bin produced by NISP-detected \ha\ emitters selected in five redshifts bins. Even at such high redshifts, the combination of \Euclid image quality, depth, and area results in a strong detection. 2532081 6426201 http://cds.cern.ch/record/2898602/files/FS2_WL_overview.png 00025 The image on the left shows the lensing convergence for sources with $z_{\rm s}=1$ for a simulated patch of sky covering 50 deg$^2$. A zoom-in of the central square degree is shown on the right, with the sticks indicating the direction and amplitude of the corresponding shear. The colour bar of the convergence field displays values within the range $\pm 3\sigma$, where $\sigma$ is the rms value of the full-sky map. The stick at the bottom of the zoom-in image shows a reference amplitude for the shear sticks overlaid on that area of the mass map. 2532082 10737 http://cds.cern.ch/record/2898602/files/survey_comparison_surfacedensity_rev.png 00046 \gls{AGN} surface density (deg$^{-2}$) versus survey area (deg$^2$) for \gls{EWS} and \gls{EDS} compared with wide field and medium area surveys in different wavebands (according to the legend). Unfilled downwards triangles show the surface density of \gls{AGN} detected in at least one \Euclid band (at 5$\,\sigma$), while filled upwards triangles represent the surface density of \gls{AGN} selected by using a simple colour criterion with \Euclid and \gls{LSST} colours, in both \gls{EWS} and \gls{EDS}. 2532083 61533 http://cds.cern.ch/record/2898602/files/ISTL_Pell_NoPurityCorrection_z1p5.png 00001 Measured galaxy power spectrum multipoles calculated from dedicated mocks (Pezzotta et al. in prep.) based on the Flagship simulation (see \cref{sec:flagship}) of the \Euclid emission-line sample for a redshift bin $1.3 < z < 1.5$, compared to a best-fit model based on \acrlong{EFT} (EFT, also called EFTofLSS, see \cref{sec:nonlinear} for further discussion) assuming $k_{\rm max} = 0.25\,h$\,Mpc$^{-1}$. Error bars here correspond to the \Euclid full mission volume for this redshift bin prior to observational effects. 2532084 120154 http://cds.cern.ch/record/2898602/files/Optical_layout_correct_FoM3.png 00006 Schematic functional view of the \Euclid telescope: light enters from the top onto the primary mirror M1. The secondary mirror M2 can be moved in 3 degrees of freedom by the \gls{M2M} to compensate launch and cool-down effects. Separated by a baffle, the light then enters the instrument cavity, where it gets relayed by two flat folding mirrors (FoM1, FoM2) whose coatings suppress photons below 0.5\,\micron. The tertiary mirror M3 directs the beam towards the dichroic plate. In transmission light enters NISP and in reflection VIS, by use of a third folding mirror (FoM3, silver coated). VIS consists of a separate \gls{FPA}, an \gls{RSU}, and a \gls{CU}. \Euclid's \gls{FGS} are co-mounted on the same structure as the VIS \gls{FPA}. Figure credit: \gls{ADS}. 2532085 223156 http://cds.cern.ch/record/2898602/files/som_coverage_2023oct11.png 00018 The galaxy multicolour-space to $i=25$\,AB\,mag, encoded in a 2D map with a 150$\times$75 binning using the self-organising map algorithm \citep{Masters15}. On the left is the distribution of spectroscopic coverage of the map prior to the C3R2 effort. The white regions are those parts of galaxy-colour space lacking high-confidence spectroscopic redshifts for calibration. On the right is the current map, after incorporating the $>$5800 C3R2 faint galaxy spectra. The map coverage has increased from about 51\% to $>$90\%, with many colour cells calibrated with multiple galaxies. Spectra to calibrate the remaining empty cells may be obtained as next-generation spectroscopic facilities come online, or they can be addressed with clustering redshift approaches \citep[e.g.,][]{Newman08}. We note that the remaining empty regions correspond to lower-density (less occupied) parts of the galaxy-colour space. 2532086 485256 http://cds.cern.ch/record/2898602/files/DPS_overview_cropped.png 00017 Layout of the three Euclid Deep Fields, using coordinates in the \gls{ICRS}, overlaid on top of the reddening map from \cite{Planck2013dust} with bright stars from 2MASS \citep{Skrutskie2006} and ATLAS \citep{tonry2018} indicated. The thick blue lines show the areas that will be covered to full depth. The thinner blue lines approximate the wider but shallower extent due to dithering. \textit{Upper-left panel}: The EDF-N contains the \textit{Herschel} \citep{pearson2017} and AKARI NEP-wide surveys \citep{lee2009}, as well as the \Euclid self-calibration field (dashed black circle). \textit{Upper-right panel}: The EDF-F contains the Chandra Deep Field South. \textit{Bottom panel}: The EDF-S will also be observed by two \gls{LSST} deep-drilling fields. All three fields have been fully covered in four \textit{Spitzer} bands \citep{Moneti-EP17}, and are well suited for broad, extragalactic science. 2532087 428274 http://cds.cern.ch/record/2898602/files/RPE_VIS_hist.png 00009 \Gls{RPE} performance in 360 nominal (\textit{top row}) and 243 short (\textit{bottom row}) VIS science exposures. The blue histograms are based on the \gls{AOCS} controller-error vector, and the orange ones on the \gls{FGS}-provided absolute quaternion. The dashed vertical lines show the $3\,\sigma$ allocation by industry. Even though that requirement is not always met in practice, in particular about the $z$-axis, it does not mean that the \gls{PSF} requirements are violated, because there are also margins on the optical \gls{PSF}. 2532088 19626 http://cds.cern.ch/record/2898602/files/reach_prelaunch.png 00015 Window of visibility. Shown are the reachable ecliptic longitudes around transit as a function of latitude, computed for $\rm{\gls{SAA}}\in[\ang{87;;};\ang{104;;}]$ and ${\rm \gls{AA}}\in[\ang{-5;;};\ang{5;;}]$. A strict tessellation constraint is imposed, meaning the survey fields are not allowed to rotate with respect to the tessellation. 2532089 101525 http://cds.cern.ch/record/2898602/files/le3-pk-wl_shearshear.png 00032 Measured $E$-mode angular power spectra for cosmic shear from the galaxy ellipticity in the Flagship simulation, after applying the expected survey footprint of the northern part of \Euclid's first data release (DR1). Shown for each tomographic redshift bin (numbered panels) are the cosmic shear signal of that bin (black) and the cross-correlations with both lower-numbered (blue) and higher-numbered (orange) bins. The shading of the colour indicates the difference between the two bin numbers. Galaxy ellipticities have intrinsic ellipticity variations (`shape noise'), but no shape measurement error has been added here. Spectra are binned into 32 logarithmic bins. The $y$-axis changes to linear when crossing zero. 2532090 31548 http://cds.cern.ch/record/2898602/files/Fiducial-spectro.png 00036 Legendre multipoles of the redshift-space power spectrum of galaxy clustering, $P_{\ell}(k)$, as expected from the spectroscopic survey data within four redshift bins (respectively, $0.9<z<1.1$, $1.1<z<1.3$, $1.3<z<1.5$ and $1.5<z<1.8$, where the $P_{\ell}(k)$ are evaluated at the mean of the redshift intervals). The plots show the monopole ($\ell = 0$, solid line), quadrupole ($\ell = 2$, dashed-dotted line), and hexadecapole ($\ell = 4$, dashed line), together with their error corridors (shaded regions). The latter simply connect the 1-$\sigma$ errors from the diagonal values of the analytical covariance matrix, computed for narrow bins of $\Delta k = 0.0017\, h\,\mathrm{Mpc}^{-1}$. As a result of this fine binning, the shaded areas do not fully reflect the actual constraining power of the measurements. 2532091 108977 http://cds.cern.ch/record/2898602/files/le3-pk-wl_pospos.png 00033 Similar to \cref{fig:le3-pk-wl_shearshear}, but for angular clustering from galaxy positions. 2532092 49869 http://cds.cern.ch/record/2898602/files/euclid_passband_comparison_log.png 00011 Spectral response of \Euclid's imaging (VIS: \IE; NISP: \YE, \JE, \HE) and spectroscopic channels (NISP: \BGE, \RGE) at the beginning of the mission. The expected transmission loss at the end of the mission due to space weathering and non-volatile contamination is at most 0.05. For reference we show the Gaia $G$ passband from their third data release \citep{Gaia-DR3}, the atmospheric transmission for a precipitable water vapour level of 1.0\,mm \citep{rothman2013}, and some of the \gls{JWST} passbands of their Near Infrared Camera \citep[NIRCam;][]{rieke2005}. 2532093 193638 http://cds.cern.ch/record/2898602/files/NZ_Euclid_KiDS_DES_HSC_Y3.png 00003 Source-redshift distributions $n(z)$ of the \gls{KiDS}, \gls{DES}, and \gls{HSC}, and as expected for \Euclid. Distributions are normalised to the mean number density of sources used in the lensing analyses. 2532094 47175 http://cds.cern.ch/record/2898602/files/Fiducial-Photo-g_e-g_e.png 00038 Synthetic angular power spectra $C_\ell$ for weak lensing ($EE$) for the auto-correlation between the 13 photometric redshift bins shown in \cref{fig:nzbins}. The shaded light blue area shows the corresponding uncertainty given by the corresponding analytical covariance matrix, including the super-sample covariance (SSC) term. 2532095 107640 http://cds.cern.ch/record/2898602/files/1d-spectrum.png 00030 An example of \gls{NISP} spectroscopic data for a galaxy in the COSMOS field with $z=1.1770\pm0.0005$ \citep{Mainieri2007} The top figure shows the four spectrograms, with the H$\alpha$ line clearly visible. The bottom plot shows the corresponding combined and flux-calibrated 1D spectrum (in black) and its associated statistical noise (in orange), while the green line shows the combined continuum and emission line model that fits the data best. The bright H$\alpha$ line is detected with $\text{S/N}=14$ yielding a redshift of $z=1.1783\pm0.0005$ (vertical blue line), which is in agreement with the previously published value. The flux of the line, $f_{{\rm H}\alpha}=2\times 10^{-15}$\,erg\,cm$^{-2}$\,s$^{-1}$, is approximately ten times higher than the limiting flux for the \gls{EWS}. 2532096 3291114 http://cds.cern.ch/record/2898602/files/VIS_units.png 00010 Constituents of VIS. \textit{Top:} The VIS focal plane showing (from left to right) the array of 36 close-butted \glspl{CCD} within their SiC structure, as integrated on the \gls{PLM}; a `slice' of six \glspl{CCD} with a pair of ROEs to control them and digitise the signals; and the integrated focal plane with a protective cover for the \glspl{CCD} (six power supplies for each ROE can be seen on the left of the structure with the other six out of view behind it). \textit{Bottom:} From left to right: the \gls{CU} used for providing a flat illumination of the focal plane at six different wavelengths; the shutter; the Control and Data Processing Unit, which controls the instrument, sequences the 144 channels of data from the 36 \glspl{CCD}, compresses the image, and communicates with the spacecraft; and the Power and Mechanism Control Unit, which drives the shutter and the \gls{CU}. All of these have redundant halves except for the multiplexers on the \gls{CDPU} to the 12 ROEs. 2532097 1812820 http://cds.cern.ch/record/2898602/files/EUDF_cutout.png 00028 False-colour NISP image of a $\ang{;4.5;}\times\ang{;3.0;}$ area of \Euclid's self-calibration field (\cref{sec:selfcal_EUDF}). Filters \YE, \JE, and \HE~are shown in blue, green, and red, respectively. The depth is that of the \gls{EDS} (\cref{sec:deepsurvey}), about 26.4\,AB\,mag per band. The bright star has 11.5\,AB\,mag, showcasing \Euclid's excellent performance for in-field stray light suppression. Field rotation between observations is evident from the diffraction spikes. 2532098 1086740 http://cds.cern.ch/record/2898602/files/M0416_EWS_NEW2.png 00044 Simulated \Euclid observation in the \IE\ band of the central region of the strong lensing galaxy cluster MACSJ0416.1$-$2403 \citep[$z=0.397$,][]{2016ApJS..224...33B}. The image was obtained with the code \texttt{Hst2Euclid} (Bergamini et al., in prep.), using \gls{HST} observations taken as part of the Hubble Frontier Fields Survey \citep{2017ApJ...837...97L}. The image reproduces the depth of the \gls{EWS} and several giant arcs are clearly visible. The inset shows a zoom into a known galaxy-galaxy strong lensing system, where the lens is a cluster member and the source a background galaxy at redshift $z=3.222$ \citep[ID14,][]{2017ApJ...842...47V}. 2532099 29475 http://cds.cern.ch/record/2898602/files/PLM_cropped.png 00004 {\it Left:} Overview of the \Euclid spacecraft with the principal axes highlighted. {\it Right:} The fully assembled spacecraft on February 2023 in the anechoic chamber of Thales Alenia Space in France, after completing final electromagnetic compatibility tests. The side shown here will always face away from the Sun. The large white structure below the cylindrical telescope baffle is the NISP radiator. The hydrazine thrusters still have their protective red covers on. The plaque with the miniaturised fingerprint galaxy created thanks to a \href{https://www.esa.int/ESA_Multimedia/Videos/2022/07/The_Fingertip_Galaxy_Reflecting_Euclid_in_art}{collaboration with visual artist Lisa Pettibone} and Euclid Consortium members can be seen at the lower left. Figure credit: \gls{ESA} -- M.~P\'edoussaut. 2532100 30682 http://cds.cern.ch/record/2898602/files/VIS_PSF.png 00019 VIS image quality. The figure shows a stacked data \gls{PSF} near the centre of the VIS FPA, from an observation of the self-calibration field, averaging over source SEDs. The \gls{FWHM} is approximately \ang{;;0.13} in this data set. The effect of trefoil (\cref{sec:pv_psf}) is evident in this log-scale representation. 2532101 920938 http://cds.cern.ch/record/2898602/files/SFR-mass.png 00047 \gls{SFR}-stellar mass diagram. The points represent the photometric sample, divided into star-forming (in blue) and passive galaxies (in red). Galaxy type was assigned as a function of mass and redshift from the stellar mass function (SMF) by \cite{2010ApJ...721..193P} and \cite{Ilbert2013}. The coloured contours highlight the spectroscopic sample (for the \gls{EWS} in the case of star-forming galaxies in blue, and for the \gls{EDS} in the case of passive galaxies, in red). The two insets show two examples of star-forming and passive galaxies as observed in the \gls{EDS}, comprising both the blue and the red grisms, simulated from the \gls{MAMBO} mock catalogue \citep{Girelli.phd} taking into account all instrumental and observational effects. 2532102 144005 http://cds.cern.ch/record/2898602/files/nz_kernels_FS2PHZ.png 00037 \textit{Top}: Normalised redshift distributions $n(z)$, measured from the \gls{EFS}, for the 13 equi-populated bins that were used for the 3\texttimes2pt analysis for the \gls{SPV}. \textit{Middle}: Resulting photometric magnification kernels for the 13 redshift bins shown above. \textit{Bottom}: Corresponding shear kernels before (dashed) and after (solid lines) BNT transformation. The latter case gives a better grasp of the tomographic information that can be inferred from \gls{WL} observations. 2532103 23794 http://cds.cern.ch/record/2898602/files/NNPZ.png 00031 Photometric redshift performance of the mode of individual probability distributions using \texttt{NNPZ}, taken from \cite{Desprez-EP10} who used simulated \gls{DES} and \Euclid \gls{NIR} data. Regions of photometric redshift space that will be excluded from the weak lensing analyses are shown in grey. 2532104 2552954 http://cds.cern.ch/record/2898602/files/NISP_FM_open3_clip.png 00012 NISP flight model, before wrapping in light-tight multi-layer insulation. Light enters the filter wheel and grism wheel enclosure (left) through a collimator lens, hidden behind the large round wheel enclosure. A triplet camera lens assembly projects the beam onto the cold detector system at the right end of the structure, with the readout electronics to the very right. The NISP calibration lamp is located to the top left of the camera lens assembly in this picture. See \citet{EuclidSkyNISP} for details. 2532105 145297 http://cds.cern.ch/record/2898602/files/le3-pk-wl_posshear.png 00034 Similar to \cref{fig:le3-pk-wl_shearshear}, but for galaxy--galaxy lensing from the positions of galaxies and their ellipticity $E$-mode. Here, cross-correlations in each panel are shown for positions in that bin and foreground or background ellipticities. In harmonic space, the galaxy-galaxy lensing signal is negative; the apparent positive signal at higher redshifts is due to the intrinsic alignment of galaxies. 2532106 108107 http://cds.cern.ch/record/2898602/files/transient.png 00049 {\it Top row}: The left panel shows a section of a VIS image acquired on 21 November 2023 centred on ${\rm RA} = 09^{\rm h}59^{\rm m}39.872^{\rm s}$, ${\rm Dec} = +02^{\circ}35\arcmin54\farcs129$ (J2000.0), the location of the SN candidate AT~2023adqt (internally called Euclid\_SNT\_2023B). It is close to the galaxy SDSS~J095940.08+023554.6 \citep[$z=0.246$;][]{2012ApJ...753..121K}, which is the likely host. The right panel shows this galaxy in a deep stacked image in the $r$-band obtained by the SUDARE program in 2011 using the VLT Survey Telescope (VST, \citealt{2015A&A...584A..62C}). No source is visible on the SN position. {\it Middle row}: the SN candidate is clearly visible on two VIS $I_{\scriptscriptstyle\rm E}$ band images acquired on 21 November 2023 and 23 November 2023 as well as in the corresponding difference image. {\it Bottom row}: the SN candidate is not visible in the NISP $J_{\scriptscriptstyle\rm E}$ band image on 21 November 2023, but it appears on 23 November 2023. The difference image clearly shows the SN candidate. 2532107 90834 http://cds.cern.ch/record/2898602/files/fig_N_vs_V.png 00000 Comparison of the number of redshifts and comoving volume covered by various previous and ongoing spectroscopic surveys against the predictions for \Euclid (see text for details). The grey lines show lines of constant number density as labelled. 2532108 1730712 http://cds.cern.ch/record/2898602/files/euclid_lowres.png 00005 {\it Left:} Overview of the \Euclid spacecraft with the principal axes highlighted. {\it Right:} The fully assembled spacecraft on February 2023 in the anechoic chamber of Thales Alenia Space in France, after completing final electromagnetic compatibility tests. The side shown here will always face away from the Sun. The large white structure below the cylindrical telescope baffle is the NISP radiator. The hydrazine thrusters still have their protective red covers on. The plaque with the miniaturised fingerprint galaxy created thanks to a \href{https://www.esa.int/ESA_Multimedia/Videos/2022/07/The_Fingertip_Galaxy_Reflecting_Euclid_in_art}{collaboration with visual artist Lisa Pettibone} and Euclid Consortium members can be seen at the lower left. Figure credit: \gls{ESA} -- M.~P\'edoussaut. 2532109 52016 http://cds.cern.ch/record/2898602/files/straylight_survey_map.png 00022 Stray light map and survey fields. The coloured squares show the stray light level in VIS dark exposures as a function of spacecraft orientation angles. The log-scaled greyscale map shows the density of fields in the latest survey configuration including calibrations. The survey minimises stray light over the \gls{EWS} and \gls{EDS}, with the majority of the observations to be taken at ${\rm \gls{AA}} = \ang{-4.5;;}$. The \gls{CPC} fields are NISP-specific and include higher \gls{SAA} positions (above the jagged black line); while NISP is not affected by stray light, parallel VIS observations must still be taken. 2532110 15747 http://cds.cern.ch/record/2898602/files/chromatic_selection_large_new.png 00008 Chromatic selection function of \Euclid's optical elements. Since the optical design minimises the number of refractive elements, mirror coatings and the dichroic element play a central role in preparing the passbands for the instruments. The VIS detectors have zero quantum efficiency for $\lambda\,{>}\,1.1$\,\micron. The behaviour of the dichroic element above $2.2$\,\micron~is not specified; longer wavelengths could enter NISP and would be blocked by the filters. Figure adapted from \cite{Schirmer-EP18}. 2532111 7448658 http://cds.cern.ch/record/2898602/files/AllSkyEuclid.MollweideTrueSkyEWS.MOL.png 00013 \Euclid \gls{ROI} in an all-sky Mollweide projection. The blue borders enclose the 16\,000\,deg$^2$ \gls{ROI} that contains the observed sky of the Euclid Wide Survey. The \gls{ROI} excludes the Galactic and ecliptic planes. The triangular southern `island' near RA = \ang{330;;} is restricted in size since the \gls{LSST} does not extend to more northern latitudes. The Euclid Deep Fields are shown in yellow and the auxiliary fields with red marks (not to scale). 2532112 24104 http://cds.cern.ch/record/2898602/files/reach_leading.png 00023 Reach in ecliptic longitude around transit for the leading side of the survey, for ${\rm \gls{SAA}}\in[\ang{87;;},\ang{104;;}]$. Shown in red is the reach for the originally planned symmetric \gls{AA} range. To minimise the stray light in VIS, the range was shifted to $\rm{\gls{AA}}\in[\ang{-8.4;;},\ang{-3.0;;}]$ with much reduced visibility (grey) that would not permit the completion of the survey. By allowing the fields to rotate by up to \ang{3;;} with respect to the tessellation, a much larger area of the sky becomes accessible (blue). For observations in the trailing side, the areas must be rotated by \ang{180;;} around the origin. 2535297 15281 http://cds.cern.ch/record/2898602/files/w48_wgl_z_snr.png 00048 Predicted signal-to-noise ratio of the weak gravitational lensing signal (the tangential shear) per angular bin produced by NISP-detected \ha\ emitters selected in five redshifts bins. Even at such high redshifts, the combination of \Euclid image quality, depth, and area results in a strong detection. 2535298 920938 http://cds.cern.ch/record/2898602/files/w47_SFR-mass.png 00047 \gls{SFR}-stellar mass diagram. The points represent the photometric sample, divided into star-forming (in blue) and passive galaxies (in red). Galaxy type was assigned as a function of mass and redshift from the stellar mass function (SMF) by \cite{2010ApJ...721..193P} and \cite{Ilbert2013}. The coloured contours highlight the spectroscopic sample (for the \gls{EWS} in the case of star-forming galaxies in blue, and for the \gls{EDS} in the case of passive galaxies, in red). The two insets show two examples of star-forming and passive galaxies as observed in the \gls{EDS}, comprising both the blue and the red grisms, simulated from the \gls{MAMBO} mock catalogue \citep{Girelli.phd} taking into account all instrumental and observational effects. 2535299 75756 http://cds.cern.ch/record/2898602/files/w43_HOWLS_rescaled.png 00043 Constraints on $\sigma_8$ and $w_0$ from a Fisher analysis of $\xi_\pm$ and the convergence \gls{PDF}, when keeping all other cosmological parameters fixed, normalised by the constraints of second-order statistics alone. We assumed a \Euclid-like source redshift distribution to derive the results. The $\xi_+$ and $\xi_-$ values were taken in the range of \ang{;1.65;} to \ang{;201;}. The \gls{PDF} was measured for convergence fields smoothed by a tophat filter of radius \ang{;4.69;}. Covariances were estimated from the SLICS \citep{Harnois-Deraps2018}, derivatives were either modelled analytically (dashed lines) or estimated from the DUSTGRAIN-pathfinder simulations \citep[][solid lines]{Giocoli2018}. 2535300 485256 http://cds.cern.ch/record/2898602/files/w17_DPS_overview_cropped.png 00017 Layout of the three Euclid Deep Fields, using coordinates in the \gls{ICRS}, overlaid on top of the reddening map from \cite{Planck2013dust} with bright stars from 2MASS \citep{Skrutskie2006} and ATLAS \citep{tonry2018} indicated. The thick blue lines show the areas that will be covered to full depth. The thinner blue lines approximate the wider but shallower extent due to dithering. \textit{Upper-left panel}: The EDF-N contains the \textit{Herschel} \citep{pearson2017} and AKARI NEP-wide surveys \citep{lee2009}, as well as the \Euclid self-calibration field (dashed black circle). \textit{Upper-right panel}: The EDF-F contains the Chandra Deep Field South. \textit{Bottom panel}: The EDF-S will also be observed by two \gls{LSST} deep-drilling fields. All three fields have been fully covered in four \textit{Spitzer} bands \citep{Moneti-EP17}, and are well suited for broad, extragalactic science. 2535301 62538 http://cds.cern.ch/record/2898602/files/w20_xrayfig_overview.png 00020 Point-like cosmic-ray density in VIS during a low M-class solar flare. The cosmic rays are caused by X-rays impinging onto the detectors after penetrating \Euclid's sunshield in some gaps between the solar cells, causing characteristic geometric patterns. During rare but bright X-class flares, up to 25\% of the VIS detector area must be masked. The location of the pattern and its shape depends strongly on the \gls{LOS} of VIS towards the Sun through the sunshield, and thus on the spacecraft's attitude. 2535302 10737 http://cds.cern.ch/record/2898602/files/w46_survey_comparison_surfacedensity_rev.png 00046 \gls{AGN} surface density (deg$^{-2}$) versus survey area (deg$^2$) for \gls{EWS} and \gls{EDS} compared with wide field and medium area surveys in different wavebands (according to the legend). Unfilled downwards triangles show the surface density of \gls{AGN} detected in at least one \Euclid band (at 5$\,\sigma$), while filled upwards triangles represent the surface density of \gls{AGN} selected by using a simple colour criterion with \Euclid and \gls{LSST} colours, in both \gls{EWS} and \gls{EDS}. 2535303 3318428 http://cds.cern.ch/record/2898602/files/w10_VIS_units.png 00010 Constituents of VIS. \textit{Top:} The VIS focal plane showing (from left to right) the array of 36 close-butted \glspl{CCD} within their SiC structure, as integrated on the \gls{PLM}; a `slice' of six \glspl{CCD} with a pair of ROEs to control them and digitise the signals; and the integrated focal plane with a protective cover for the \glspl{CCD} (six power supplies for each ROE can be seen on the left of the structure with the other six out of view behind it). \textit{Bottom:} From left to right: the \gls{CU} used for providing a flat illumination of the focal plane at six different wavelengths; the shutter; the Control and Data Processing Unit, which controls the instrument, sequences the 144 channels of data from the 36 \glspl{CCD}, compresses the image, and communicates with the spacecraft; and the Power and Mechanism Control Unit, which drives the shutter and the \gls{CU}. All of these have redundant halves except for the multiplexers on the \gls{CDPU} to the 12 ROEs. 2535304 24104 http://cds.cern.ch/record/2898602/files/w23_reach_leading.png 00023 Reach in ecliptic longitude around transit for the leading side of the survey, for ${\rm \gls{SAA}}\in[\ang{87;;},\ang{104;;}]$. Shown in red is the reach for the originally planned symmetric \gls{AA} range. To minimise the stray light in VIS, the range was shifted to $\rm{\gls{AA}}\in[\ang{-8.4;;},\ang{-3.0;;}]$ with much reduced visibility (grey) that would not permit the completion of the survey. By allowing the fields to rotate by up to \ang{3;;} with respect to the tessellation, a much larger area of the sky becomes accessible (blue). For observations in the trailing side, the areas must be rotated by \ang{180;;} around the origin. 2535305 596172 http://cds.cern.ch/record/2898602/files/w27_pv01_vis_cutout_2_drk_stk.png 00027 VIS view of a $\ang{;2.5;}\times\ang{;2.0;}$ wide area of \Euclid's self-calibration field (\cref{sec:selfcal_EUDF}) taken during the \gls{PV} phase. \textit{Left}: An unprocessed single exposure, where cosmic rays are clearly visible. \textit{Right}: A VIS-processed stack using 42 exposures, or about 10 times the exposure time of the EWS. The ability of \Euclid to reveal low-surface-brightness features is evident. 2535306 669231 http://cds.cern.ch/record/2898602/files/w41_triangle_w0waCDM_3x2pt_GCsp_zoomin_no_frame.png 00041 Forecast of the constraints for the $w_0$$w_a$CDM cosmological model (adopting a flat geometry) using only the {\it Euclid} primary probes, as described in \cref{sec:spv3}. The sampled parameter space also included the cosmological parameters ($\Omega_{\rm b} h^2$, $\Omega_{\rm c} h^2$, $H_0$, $n_{\rm s}$, $A_{\rm s}$, $w_0$ and $w_a$) and several nuisance parameters listed in \cref{tab:fiducial_model}. The grey dashed lines show the fiducial values of the parameters, that are also listed in \cref{tab:fiducial_model}. The posterior distributions were obtained using \texttt{CLOE} v2.0.2 and the sampler \texttt{Polychord}, with 800 live points and 0.01 as the precision criterion. For the photometric probes (cosmic shear, photometric angular clustering, and galaxy-galaxy-lensing), we used $\ell_{\rm max} = 3000$, while for the spectroscopic probe we used, $k_{\rm max} = 0.3\,h\,{\rm Mpc}^{-1}$. We show the 2D-posterior distribution for the parameters $w_0$ and $w_a$ in detail, citing the corresponding \gls{FOM} obtained for each probe as well as for the combination of both. 2535307 584055 http://cds.cern.ch/record/2898602/files/w42_triangle_LCDM_gamma_3x2pt_GCsp_zoomin_no_frame.png 00042 Similar to \cref{fig:triangle_plot_w0waCDM}, but for the $\Lambda$CDM + $\gamma_{\rm g}$ model (adopting a flat geometry). We show the 1D-posterior distribution for the $\gamma_{\rm g}$ parameter in detail, citing the corresponding 1-sigma uncertainty associated to each probe as well as for the combination of both. 2535308 47175 http://cds.cern.ch/record/2898602/files/w38_Fiducial-Photo-g_e-g_e.png 00038 Synthetic angular power spectra $C_\ell$ for weak lensing ($EE$) for the auto-correlation between the 13 photometric redshift bins shown in \cref{fig:nzbins}. The shaded light blue area shows the corresponding uncertainty given by the corresponding analytical covariance matrix, including the super-sample covariance (SSC) term. 2535309 46479 http://cds.cern.ch/record/2898602/files/w40_GCphot-nonlinear.png 00040 Ratio of photometric galaxy clustering $C_\ell$ between different nonlinear models and the result for {\tt Euclid Emulator 2}, for the auto-correlation of the redshift bin centred at $z=0.83446$. Also shown is the expected \Euclid error bar, including the contribution from super-sample covariance. 2535310 144005 http://cds.cern.ch/record/2898602/files/w37_nz_kernels_FS2PHZ.png 00037 \textit{Top}: Normalised redshift distributions $n(z)$, measured from the \gls{EFS}, for the 13 equi-populated bins that were used for the 3\texttimes2pt analysis for the \gls{SPV}. \textit{Middle}: Resulting photometric magnification kernels for the 13 redshift bins shown above. \textit{Bottom}: Corresponding shear kernels before (dashed) and after (solid lines) BNT transformation. The latter case gives a better grasp of the tomographic information that can be inferred from \gls{WL} observations. 2535311 108107 http://cds.cern.ch/record/2898602/files/w49_transient.png 00049 {\it Top row}: The left panel shows a section of a VIS image acquired on 21 November 2023 centred on ${\rm RA} = 09^{\rm h}59^{\rm m}39.872^{\rm s}$, ${\rm Dec} = +02^{\circ}35\arcmin54\farcs129$ (J2000.0), the location of the SN candidate AT~2023adqt (internally called Euclid\_SNT\_2023B). It is close to the galaxy SDSS~J095940.08+023554.6 \citep[$z=0.246$;][]{2012ApJ...753..121K}, which is the likely host. The right panel shows this galaxy in a deep stacked image in the $r$-band obtained by the SUDARE program in 2011 using the VLT Survey Telescope (VST, \citealt{2015A&A...584A..62C}). No source is visible on the SN position. {\it Middle row}: the SN candidate is clearly visible on two VIS $I_{\scriptscriptstyle\rm E}$ band images acquired on 21 November 2023 and 23 November 2023 as well as in the corresponding difference image. {\it Bottom row}: the SN candidate is not visible in the NISP $J_{\scriptscriptstyle\rm E}$ band image on 21 November 2023, but it appears on 23 November 2023. The difference image clearly shows the SN candidate. 2535312 56570 http://cds.cern.ch/record/2898602/files/w29_spectrograms.png 00029 An example of \gls{NISP} spectroscopic data for a galaxy in the COSMOS field with $z=1.1770\pm0.0005$ \citep{Mainieri2007} The top figure shows the four spectrograms, with the H$\alpha$ line clearly visible. The bottom plot shows the corresponding combined and flux-calibrated 1D spectrum (in black) and its associated statistical noise (in orange), while the green line shows the combined continuum and emission line model that fits the data best. The bright H$\alpha$ line is detected with $\text{S/N}=14$ yielding a redshift of $z=1.1783\pm0.0005$ (vertical blue line), which is in agreement with the previously published value. The flux of the line, $f_{{\rm H}\alpha}=2\times 10^{-15}$\,erg\,cm$^{-2}$\,s$^{-1}$, is approximately ten times higher than the limiting flux for the \gls{EWS}. 2535313 120154 http://cds.cern.ch/record/2898602/files/w6_Optical_layout_correct_FoM3.png 00006 Schematic functional view of the \Euclid telescope: light enters from the top onto the primary mirror M1. The secondary mirror M2 can be moved in 3 degrees of freedom by the \gls{M2M} to compensate launch and cool-down effects. Separated by a baffle, the light then enters the instrument cavity, where it gets relayed by two flat folding mirrors (FoM1, FoM2) whose coatings suppress photons below 0.5\,\micron. The tertiary mirror M3 directs the beam towards the dichroic plate. In transmission light enters NISP and in reflection VIS, by use of a third folding mirror (FoM3, silver coated). VIS consists of a separate \gls{FPA}, an \gls{RSU}, and a \gls{CU}. \Euclid's \gls{FGS} are co-mounted on the same structure as the VIS \gls{FPA}. Figure credit: \gls{ADS}. 2535314 52016 http://cds.cern.ch/record/2898602/files/w22_straylight_survey_map.png 00022 Stray light map and survey fields. The coloured squares show the stray light level in VIS dark exposures as a function of spacecraft orientation angles. The log-scaled greyscale map shows the density of fields in the latest survey configuration including calibrations. The survey minimises stray light over the \gls{EWS} and \gls{EDS}, with the majority of the observations to be taken at ${\rm \gls{AA}} = \ang{-4.5;;}$. The \gls{CPC} fields are NISP-specific and include higher \gls{SAA} positions (above the jagged black line); while NISP is not affected by stray light, parallel VIS observations must still be taken. 2535315 23794 http://cds.cern.ch/record/2898602/files/w31_NNPZ.png 00031 Photometric redshift performance of the mode of individual probability distributions using \texttt{NNPZ}, taken from \cite{Desprez-EP10} who used simulated \gls{DES} and \Euclid \gls{NIR} data. Regions of photometric redshift space that will be excluded from the weak lensing analyses are shown in grey. 2535316 43349 http://cds.cern.ch/record/2898602/files/w39_Fiducial-Photo-d-d.png 00039 Similar to \cref{fig:CLOE_euclid_probes_WL}, but for the photometric galaxy clustering (gg) for the auto-correlation between the 13 photometric redshift bins shown in \cref{fig:nzbins}. 2535317 523206 http://cds.cern.ch/record/2898602/files/w45_euclid_overview_morphology.png 00045 Illustration of \Euclid's capabilities to measure galaxy morphologies. {\it Top panels:} Example of a simulated galaxy observed with VIS as compared to \gls{HST} and Subaru. The horizontal black line indicates a $1^{"}$ length. {\it Middle panels:} Comparison of the bias (left column), dispersion (middle column) and outlier fraction (right column) of the effective radii (top row), axis ratio (middle row) and \Sersic~index (bottom row) for the best-fit \Sersic~profiles obtained with different state-of-the art surface brightness fitting codes applied to simulated \Euclid galaxies as a function of \IE. \Sersic~parameters can be obtained with errors smaller than $\sim10\%$ down to a \IE=24. {\it Bottom panels:} Accuracy of deep learning based morphological classifications on simulated \Euclid observations of galaxies trained on human based labels. The confusion matrices show the accuracy for identifying spiral arms (left) and clumpy galaxies (right). Figure adapted from~\cite{2024arXiv240210187E} and~\cite{Bretonniere-EP26} 2535318 122389 http://cds.cern.ch/record/2898602/files/w14_step_and_stare.png 00014 \Euclid's main step-and-stare observing mode, showing north-south steps along a circle as rotations around the $X$-axis. \Euclid can tilt to another circle by rotating around the $Y$-axis. 2535319 148257 http://cds.cern.ch/record/2898602/files/w21_straylight_in_VIS.png 00021 Impact of the spacecraft orientation on the VIS background. \textit{Left}: At ${\rm AA}=0$ considerable stray light levels are present that exceed the zodiacal background by more than one order of magnitude. \textit{Right}: For ${\rm AA}<-\ang{2.9;;}$ the stray light is reduced to a few percent of the zodiacal background. It still needs to be modelled for some calibrations and low-surface-brightness science. 2535320 158553 http://cds.cern.ch/record/2898602/files/w2_Xip_Euclid_KiDS_DES_HSC_Y3.png 00002 Shear correlation function $\xi_+(\theta)$ for \gls{KiDS}-1000 (left, from \citealp{Asgari2021}), \gls{DES} Y3 (middle, from \citealp{Amon2022}), and \gls{HSC} Y3 (right, from \citealp{Li2023}), and expected for \Euclid. Each panel uses sources distributed according to the tomographic bin with the highest \gls{S/N} of the respective survey. The \gls{S/N} for \Euclid is an order of magnitude larger than that of the most recent surveys. The other shear correlation function $\xi_-(\theta)$ shows a similar improvement in S/N (not shown). 2535321 72881 http://cds.cern.ch/record/2898602/files/w1_ISTL_Pell_NoPurityCorrection_z1p5.png 00001 Measured galaxy power spectrum multipoles calculated from dedicated mocks (Pezzotta et al. in prep.) based on the Flagship simulation (see \cref{sec:flagship}) of the \Euclid emission-line sample for a redshift bin $1.3 < z < 1.5$, compared to a best-fit model based on \acrlong{EFT} (EFT, also called EFTofLSS, see \cref{sec:nonlinear} for further discussion) assuming $k_{\rm max} = 0.25\,h$\,Mpc$^{-1}$. Error bars here correspond to the \Euclid full mission volume for this redshift bin prior to observational effects. 2535322 6426201 http://cds.cern.ch/record/2898602/files/w25_FS2_WL_overview.png 00025 The image on the left shows the lensing convergence for sources with $z_{\rm s}=1$ for a simulated patch of sky covering 50 deg$^2$. A zoom-in of the central square degree is shown on the right, with the sticks indicating the direction and amplitude of the corresponding shear. The colour bar of the convergence field displays values within the range $\pm 3\sigma$, where $\sigma$ is the rms value of the full-sky map. The stick at the bottom of the zoom-in image shows a reference amplitude for the shear sticks overlaid on that area of the mass map. 2535323 19626 http://cds.cern.ch/record/2898602/files/w15_reach_prelaunch.png 00015 Window of visibility. Shown are the reachable ecliptic longitudes around transit as a function of latitude, computed for $\rm{\gls{SAA}}\in[\ang{87;;};\ang{104;;}]$ and ${\rm \gls{AA}}\in[\ang{-5;;};\ang{5;;}]$. A strict tessellation constraint is imposed, meaning the survey fields are not allowed to rotate with respect to the tessellation. 2535324 647120 http://cds.cern.ch/record/2898602/files/w26_pv01_vis_cutout_2_drk_det.png 00026 VIS view of a $\ang{;2.5;}\times\ang{;2.0;}$ wide area of \Euclid's self-calibration field (\cref{sec:selfcal_EUDF}) taken during the \gls{PV} phase. \textit{Left}: An unprocessed single exposure, where cosmic rays are clearly visible. \textit{Right}: A VIS-processed stack using 42 exposures, or about 10 times the exposure time of the EWS. The ability of \Euclid to reveal low-surface-brightness features is evident. 2535325 1812820 http://cds.cern.ch/record/2898602/files/w28_EUDF_cutout.png 00028 False-colour NISP image of a $\ang{;4.5;}\times\ang{;3.0;}$ area of \Euclid's self-calibration field (\cref{sec:selfcal_EUDF}). Filters \YE, \JE, and \HE~are shown in blue, green, and red, respectively. The depth is that of the \gls{EDS} (\cref{sec:deepsurvey}), about 26.4\,AB\,mag per band. The bright star has 11.5\,AB\,mag, showcasing \Euclid's excellent performance for in-field stray light suppression. Field rotation between observations is evident from the diffraction spikes. 2535326 90834 http://cds.cern.ch/record/2898602/files/w0_fig_N_vs_V.png 00000 Comparison of the number of redshifts and comoving volume covered by various previous and ongoing spectroscopic surveys against the predictions for \Euclid (see text for details). The grey lines show lines of constant number density as labelled. 2535327 107640 http://cds.cern.ch/record/2898602/files/w30_1d-spectrum.png 00030 An example of \gls{NISP} spectroscopic data for a galaxy in the COSMOS field with $z=1.1770\pm0.0005$ \citep{Mainieri2007} The top figure shows the four spectrograms, with the H$\alpha$ line clearly visible. The bottom plot shows the corresponding combined and flux-calibrated 1D spectrum (in black) and its associated statistical noise (in orange), while the green line shows the combined continuum and emission line model that fits the data best. The bright H$\alpha$ line is detected with $\text{S/N}=14$ yielding a redshift of $z=1.1783\pm0.0005$ (vertical blue line), which is in agreement with the previously published value. The flux of the line, $f_{{\rm H}\alpha}=2\times 10^{-15}$\,erg\,cm$^{-2}$\,s$^{-1}$, is approximately ten times higher than the limiting flux for the \gls{EWS}. 2535328 101525 http://cds.cern.ch/record/2898602/files/w32_le3-pk-wl_shearshear.png 00032 Measured $E$-mode angular power spectra for cosmic shear from the galaxy ellipticity in the Flagship simulation, after applying the expected survey footprint of the northern part of \Euclid's first data release (DR1). Shown for each tomographic redshift bin (numbered panels) are the cosmic shear signal of that bin (black) and the cross-correlations with both lower-numbered (blue) and higher-numbered (orange) bins. The shading of the colour indicates the difference between the two bin numbers. Galaxy ellipticities have intrinsic ellipticity variations (`shape noise'), but no shape measurement error has been added here. Spectra are binned into 32 logarithmic bins. The $y$-axis changes to linear when crossing zero. 2535329 7448658 http://cds.cern.ch/record/2898602/files/w13_AllSkyEuclid.MollweideTrueSkyEWS.MOL.png 00013 \Euclid \gls{ROI} in an all-sky Mollweide projection. The blue borders enclose the 16\,000\,deg$^2$ \gls{ROI} that contains the observed sky of the Euclid Wide Survey. The \gls{ROI} excludes the Galactic and ecliptic planes. The triangular southern `island' near RA = \ang{330;;} is restricted in size since the \gls{LSST} does not extend to more northern latitudes. The Euclid Deep Fields are shown in yellow and the auxiliary fields with red marks (not to scale). 2535330 96945 http://cds.cern.ch/record/2898602/files/w9_RPE_VIS_hist.png 00009 \Gls{RPE} performance in 360 nominal (\textit{top row}) and 243 short (\textit{bottom row}) VIS science exposures. The blue histograms are based on the \gls{AOCS} controller-error vector, and the orange ones on the \gls{FGS}-provided absolute quaternion. The dashed vertical lines show the $3\,\sigma$ allocation by industry. Even though that requirement is not always met in practice, in particular about the $z$-axis, it does not mean that the \gls{PSF} requirements are violated, because there are also margins on the optical \gls{PSF}. 2535331 1730036 http://cds.cern.ch/record/2898602/files/w5_euclid_lowres.png 00005 {\it Left:} Overview of the \Euclid spacecraft with the principal axes highlighted. {\it Right:} The fully assembled spacecraft on February 2023 in the anechoic chamber of Thales Alenia Space in France, after completing final electromagnetic compatibility tests. The side shown here will always face away from the Sun. The large white structure below the cylindrical telescope baffle is the NISP radiator. The hydrazine thrusters still have their protective red covers on. The plaque with the miniaturised fingerprint galaxy created thanks to a \href{https://www.esa.int/ESA_Multimedia/Videos/2022/07/The_Fingertip_Galaxy_Reflecting_Euclid_in_art}{collaboration with visual artist Lisa Pettibone} and Euclid Consortium members can be seen at the lower left. Figure credit: \gls{ESA} -- M.~P\'edoussaut. 2535332 1086740 http://cds.cern.ch/record/2898602/files/w44_M0416_EWS_NEW2.png 00044 Simulated \Euclid observation in the \IE\ band of the central region of the strong lensing galaxy cluster MACSJ0416.1$-$2403 \citep[$z=0.397$,][]{2016ApJS..224...33B}. The image was obtained with the code \texttt{Hst2Euclid} (Bergamini et al., in prep.), using \gls{HST} observations taken as part of the Hubble Frontier Fields Survey \citep{2017ApJ...837...97L}. The image reproduces the depth of the \gls{EWS} and several giant arcs are clearly visible. The inset shows a zoom into a known galaxy-galaxy strong lensing system, where the lens is a cluster member and the source a background galaxy at redshift $z=3.222$ \citep[ID14,][]{2017ApJ...842...47V}. 2535333 1653517 http://cds.cern.ch/record/2898602/files/w7_euclid_CAD_annotated.png 00007 3D digital rendering of the instrument cavity. In this orientation the telescope is below the assembly and observing towards the bottom. For clarity, we have added the principal light path and optical components to the rendering; dashed lines are obstructed from the chosen point of view. The large structure to the right of NISP is its outward-facing radiator. It can be clearly seen in the photograph shown in \cref{fig:SC}. Figure credit: \gls{ADS}, annotations by the authors. 2535334 49869 http://cds.cern.ch/record/2898602/files/w11_euclid_passband_comparison_log.png 00011 Spectral response of \Euclid's imaging (VIS: \IE; NISP: \YE, \JE, \HE) and spectroscopic channels (NISP: \BGE, \RGE) at the beginning of the mission. The expected transmission loss at the end of the mission due to space weathering and non-volatile contamination is at most 0.05. For reference we show the Gaia $G$ passband from their third data release \citep{Gaia-DR3}, the atmospheric transmission for a precipitable water vapour level of 1.0\,mm \citep{rothman2013}, and some of the \gls{JWST} passbands of their Near Infrared Camera \citep[NIRCam;][]{rieke2005}. 2535335 108977 http://cds.cern.ch/record/2898602/files/w33_le3-pk-wl_pospos.png 00033 Similar to \cref{fig:le3-pk-wl_shearshear}, but for angular clustering from galaxy positions. 2535336 7015524 http://cds.cern.ch/record/2898602/files/w24_AllSkyEuclid.MollweideReferenceSurvey.MOL.article.png 00024 EWS coverage and colour-coded yearly progress in an all-sky Mollweide projection. The blue borders enclose the $16\,000\,\deg^2$ \gls{ROI} that contains the $13\,416\,\deg^2$ observed sky of the \gls{EWS}. Small dark regions within the \gls{EWS} are masks for stars brighter than $4$\,AB\,mag. 2535337 193638 http://cds.cern.ch/record/2898602/files/w3_NZ_Euclid_KiDS_DES_HSC_Y3.png 00003 Source-redshift distributions $n(z)$ of the \gls{KiDS}, \gls{DES}, and \gls{HSC}, and as expected for \Euclid. Distributions are normalised to the mean number density of sources used in the lensing analyses. 2535338 30682 http://cds.cern.ch/record/2898602/files/w19_VIS_PSF.png 00019 VIS image quality. The figure shows a stacked data \gls{PSF} near the centre of the VIS FPA, from an observation of the self-calibration field, averaging over source SEDs. The \gls{FWHM} is approximately \ang{;;0.13} in this data set. The effect of trefoil (\cref{sec:pv_psf}) is evident in this log-scale representation. 2535339 29492 http://cds.cern.ch/record/2898602/files/w8_chromatic_selection_large_new.png 00008 Chromatic selection function of \Euclid's optical elements. Since the optical design minimises the number of refractive elements, mirror coatings and the dichroic element play a central role in preparing the passbands for the instruments. The VIS detectors have zero quantum efficiency for $\lambda\,{>}\,1.1$\,\micron. The behaviour of the dichroic element above $2.2$\,\micron~is not specified; longer wavelengths could enter NISP and would be blocked by the filters. Figure adapted from \cite{Schirmer-EP18}. 2535340 2552954 http://cds.cern.ch/record/2898602/files/w12_NISP_FM_open3_clip.png 00012 NISP flight model, before wrapping in light-tight multi-layer insulation. Light enters the filter wheel and grism wheel enclosure (left) through a collimator lens, hidden behind the large round wheel enclosure. A triplet camera lens assembly projects the beam onto the cold detector system at the right end of the structure, with the readout electronics to the very right. The NISP calibration lamp is located to the top left of the camera lens assembly in this picture. See \citet{EuclidSkyNISP} for details. 2535341 7044 http://cds.cern.ch/record/2898602/files/w16_calib_bar_chart_global.png 00016 Breakdown of activities during routine operations. The blue bars provide on-sky data that are simultaneously valuable for science, target characterisation, and calibration purposes; the instruments take additional calibration data while the data processing units are busy with the science exposures, and while the telescope is slewing. The yellow bar represents pure hardware calibration with little or no astrophysical relevance. Unallocated time arises because the survey runs out of unobserved sky areas (\cref{sec:unallocatedtime}). 2535342 31548 http://cds.cern.ch/record/2898602/files/w36_Fiducial-spectro.png 00036 Legendre multipoles of the redshift-space power spectrum of galaxy clustering, $P_{\ell}(k)$, as expected from the spectroscopic survey data within four redshift bins (respectively, $0.9<z<1.1$, $1.1<z<1.3$, $1.3<z<1.5$ and $1.5<z<1.8$, where the $P_{\ell}(k)$ are evaluated at the mean of the redshift intervals). The plots show the monopole ($\ell = 0$, solid line), quadrupole ($\ell = 2$, dashed-dotted line), and hexadecapole ($\ell = 4$, dashed line), together with their error corridors (shaded regions). The latter simply connect the 1-$\sigma$ errors from the diagonal values of the analytical covariance matrix, computed for narrow bins of $\Delta k = 0.0017\, h\,\mathrm{Mpc}^{-1}$. As a result of this fine binning, the shaded areas do not fully reflect the actual constraining power of the measurements. 2535343 223156 http://cds.cern.ch/record/2898602/files/w18_som_coverage_2023oct11.png 00018 The galaxy multicolour-space to $i=25$\,AB\,mag, encoded in a 2D map with a 150$\times$75 binning using the self-organising map algorithm \citep{Masters15}. On the left is the distribution of spectroscopic coverage of the map prior to the C3R2 effort. The white regions are those parts of galaxy-colour space lacking high-confidence spectroscopic redshifts for calibration. On the right is the current map, after incorporating the $>$5800 C3R2 faint galaxy spectra. The map coverage has increased from about 51\% to $>$90\%, with many colour cells calibrated with multiple galaxies. Spectra to calibrate the remaining empty cells may be obtained as next-generation spectroscopic facilities come online, or they can be addressed with clustering redshift approaches \citep[e.g.,][]{Newman08}. We note that the remaining empty regions correspond to lower-density (less occupied) parts of the galaxy-colour space. 2535344 145297 http://cds.cern.ch/record/2898602/files/w34_le3-pk-wl_posshear.png 00034 Similar to \cref{fig:le3-pk-wl_shearshear}, but for galaxy--galaxy lensing from the positions of galaxies and their ellipticity $E$-mode. Here, cross-correlations in each panel are shown for positions in that bin and foreground or background ellipticities. In harmonic space, the galaxy-galaxy lensing signal is negative; the apparent positive signal at higher redshifts is due to the intrinsic alignment of galaxies. 2535345 84764 http://cds.cern.ch/record/2898602/files/w35_euclid-timeline.png 00035 Tentative timeline for public data releases, indicating the three main \glspl{DR} as well as four smaller quick releases (Q1--Q4). The moment of release is linked to the start of early survey operations, but unforeseen changes to the mission operation may lead to some changes to this nominal schedule. 2535346 42425 http://cds.cern.ch/record/2898602/files/w4_PLM_cropped.png 00004 {\it Left:} Overview of the \Euclid spacecraft with the principal axes highlighted. {\it Right:} The fully assembled spacecraft on February 2023 in the anechoic chamber of Thales Alenia Space in France, after completing final electromagnetic compatibility tests. The side shown here will always face away from the Sun. The large white structure below the cylindrical telescope baffle is the NISP radiator. The hydrazine thrusters still have their protective red covers on. The plaque with the miniaturised fingerprint galaxy created thanks to a \href{https://www.esa.int/ESA_Multimedia/Videos/2022/07/The_Fingertip_Galaxy_Reflecting_Euclid_in_art}{collaboration with visual artist Lisa Pettibone} and Euclid Consortium members can be seen at the lower left. Figure credit: \gls{ESA} -- M.~P\'edoussaut. 2563425 596172 http://cds.cern.ch/record/2898602/files/w28_pv01_vis_cutout_2_drk_stk.png 00028 VIS view of a $\ang{;2.5;}\times\ang{;2.0;}$ wide area of \Euclid's self-calibration field (\cref{sec:selfcal_EUDF}) taken during the \gls{PV} phase. \textit{Left}: An unprocessed single exposure, where cosmic rays are clearly visible. \textit{Right}: A VIS-processed stack using 42 exposures, or about 10 times the exposure time of the EWS. The ability of \Euclid to reveal low-surface-brightness features is evident. 2563426 708749 http://cds.cern.ch/record/2898602/files/w18_DPS_overview_cropped.png 00018 Layout of the three Euclid Deep Fields, using coordinates in the \gls{ICRS}, overlaid on top of the reddening map from \cite{Planck2013dust} with bright stars from 2MASS \citep{Skrutskie2006} and ATLAS \citep{tonry2018} indicated. The thick blue lines show the areas that will be covered to full depth. The thinner blue lines approximate the wider but shallower extent due to dithering. \textit{Upper-left panel}: The EDF-N contains the \textit{Herschel} \citep{pearson2017} and AKARI NEP-wide surveys \citep{lee2009}, as well as the \Euclid self-calibration field (dashed black circle). \textit{Upper-right panel}: The EDF-F contains the Chandra Deep Field South. \textit{Bottom panel}: The EDF-S will also be observed by two \gls{LSST} deep-drilling fields. All three fields have been fully covered in four \textit{Spitzer} bands \citep{Moneti-EP17}, and are well suited for broad, extragalactic science. 2563427 84764 http://cds.cern.ch/record/2898602/files/w36_euclid-timeline.png 00036 Tentative timeline for public data releases, indicating the three main \glspl{DR} as well as four smaller quick releases (Q1--Q4). The moment of release is linked to the start of early survey operations, but unforeseen changes to the mission operation may lead to some changes to this nominal schedule. 2563428 915426 http://cds.cern.ch/record/2898602/files/w48_SFR-mass.png 00048 \gls{SFR}-stellar mass diagram. The points represent the photometric sample, divided into star-forming (in blue) and passive galaxies (in red). Galaxy type was assigned as a function of mass and redshift from the stellar mass function (SMF) by \cite{2010ApJ...721..193P} and \cite{Ilbert2013}. The coloured contours highlight the spectroscopic sample (for the \gls{EWS} in the case of star-forming galaxies in blue, and for the \gls{EDS} in the case of passive galaxies, in red). The two insets show two examples of star-forming and passive galaxies as observed in the \gls{EDS}, comprising both the blue and the red grisms, simulated from the \gls{MAMBO} mock catalogue \citep{Girelli.phd} taking into account all instrumental and observational effects. 2563429 81896 http://cds.cern.ch/record/2898602/files/w30_spectrograms.png 00030 An example of \gls{NISP} spectroscopic data for a galaxy in the COSMOS field with $z=1.1770\pm0.0005$ \citep{Mainieri2007} The top figure shows the four spectrograms, with the H$\alpha$ line clearly visible. The bottom plot shows the corresponding combined and flux-calibrated 1D spectrum (in black) and its associated statistical noise (in orange), while the green line shows the combined continuum and emission line model that fits the data best. The bright H$\alpha$ line is detected with $\text{S/N}=14$ yielding a redshift of $z=1.1783\pm0.0005$ (vertical blue line), which is in agreement with the previously published value. The flux of the line, $f_{{\rm H}\alpha}=2\times 10^{-15}$\,erg\,cm$^{-2}$\,s$^{-1}$, is approximately ten times higher than the limiting flux for the \gls{EWS}. 2563430 62724 http://cds.cern.ch/record/2898602/files/w21_xrayfig_overview.png 00021 Point-like cosmic-ray density in VIS during a low M-class solar flare. The cosmic rays are caused by X-rays impinging onto the detectors after penetrating \Euclid's sunshield in some gaps between the solar cells, causing characteristic geometric patterns. During rare but bright X-class flares, up to 25\% of the VIS detector area must be masked. The location of the pattern and its shape depends strongly on the \gls{LOS} of VIS towards the Sun through the sunshield, and thus on the spacecraft's attitude. 2563431 108447 http://cds.cern.ch/record/2898602/files/w34_le3-pk-wl_pospos.png 00034 Similar to \cref{fig:le3-pk-wl_shearshear}, but for angular clustering from galaxy positions. 2563432 30210 http://cds.cern.ch/record/2898602/files/w37_Fiducial-spectro.png 00037 Legendre multipoles of the redshift-space power spectrum of galaxy clustering, $P_{\ell}(k)$, as expected from the spectroscopic survey data within four redshift bins (respectively, $0.9<z<1.1$, $1.1<z<1.3$, $1.3<z<1.5$ and $1.5<z<1.8$, where the $P_{\ell}(k)$ are evaluated at the mean of the redshift intervals). The plots show the monopole ($\ell = 0$, solid line), quadrupole ($\ell = 2$, dashed-dotted line), and hexadecapole ($\ell = 4$, dashed line), together with their error corridors (shaded regions). The latter simply connect the 1-$\sigma$ errors from the diagonal values of the analytical covariance matrix, computed for narrow bins of $\Delta k = 0.0017\, h\,\mathrm{Mpc}^{-1}$. As a result of this fine binning, the shaded areas do not fully reflect the actual constraining power of the measurements. 2563433 2996715 http://cds.cern.ch/record/2898602/files/w14_AllSkyEuclid.MollweideTrueSkyEWS.MOL.png 00014 \Euclid \gls{ROI} in an all-sky Mollweide projection. The blue borders enclose the 16\,000\,deg$^2$ \gls{ROI} that contains the observed sky of the Euclid Wide Survey. The \gls{ROI} excludes the Galactic and ecliptic planes. The triangular southern `island' near RA = \ang{330;;} is restricted in size since the \gls{LSST} does not extend to more northern latitudes. The Euclid Deep Fields are shown in yellow and the auxiliary fields with red marks (not to scale). 2563434 68678 http://cds.cern.ch/record/2898602/files/w12_euclid_passband_comparison_log.png 00012 Spectral response of \Euclid's imaging (VIS: \IE; NISP: \YE, \JE, \HE) and spectroscopic channels (NISP: \BGE, \RGE) at the beginning of the mission. The expected transmission loss at the end of the mission due to space weathering and non-volatile contamination is at most 0.05. For reference we show the \Gaia $G$ passband from their third data release \citep{Gaia-DR3}, the atmospheric transmission for a precipitable water vapour level of 1.0\,mm \citep{rothman2013}, and some of the \gls{JWST} passbands of their Near Infrared Camera \citep[NIRCam;][]{rieke2005}. 2563435 23576 http://cds.cern.ch/record/2898602/files/w16_reach_prelaunch.png 00016 Window of visibility. Shown are the reachable ecliptic longitudes around transit as a function of latitude, computed for $\rm{\gls{SAA}}\in[\ang{87;;};\ang{104;;}]$ and ${\rm \gls{AA}}\in[\ang{-5;;};\ang{5;;}]$. A strict tessellation constraint is imposed, meaning the survey fields are not allowed to rotate with respect to the tessellation. 2563436 41494 http://cds.cern.ch/record/2898602/files/w20_VIS_PSF.png 00020 VIS image quality. The figure shows a stacked data \gls{PSF} near the centre of the VIS FPA, from an observation of the self-calibration field, averaging over source SEDs. The \gls{FWHM} is approximately \ang{;;0.13} in this data set. The effect of trefoil (\cref{sec:pv_psf}) is evident in this log-scale representation. 2563437 146087 http://cds.cern.ch/record/2898602/files/w35_le3-pk-wl_posshear.png 00035 Similar to \cref{fig:le3-pk-wl_shearshear}, but for galaxy--galaxy lensing from the positions of galaxies and their ellipticity $E$-mode. Here, cross-correlations in each panel are shown for positions in that bin and foreground or background ellipticities. In harmonic space, the galaxy-galaxy lensing signal is negative; the apparent positive signal at higher redshifts is due to the intrinsic alignment of galaxies. 2563438 141323 http://cds.cern.ch/record/2898602/files/w38_nz_kernels_FS2PHZ.png 00038 \textit{Top}: Normalised redshift distributions $n(z)$, measured from the \gls{EFS}, for the 13 equi-populated bins that were used for the 3\texttimes2pt analysis for the \gls{SPV}. \textit{Middle}: Resulting photometric magnification kernels for the 13 redshift bins shown above. \textit{Bottom}: Corresponding shear kernels before (dashed) and after (solid lines) BNT transformation. The latter case gives a better grasp of the tomographic information that can be inferred from \gls{WL} observations. 2563439 99860 http://cds.cern.ch/record/2898602/files/w50_transient.png 00050 {\it Top row}: The left panel shows a section of a VIS image acquired on 21 November 2023 centred on ${\rm RA} = 09^{\rm h}59^{\rm m}39.872^{\rm s}$, ${\rm Dec} = +02^{\circ}35\arcmin54\farcs129$ (J2000.0), the location of the SN candidate AT~2023adqt (internally called Euclid\_SNT\_2023B). It is close to the galaxy SDSS~J095940.08+023554.6 \citep[$z=0.246$;][]{2012ApJ...753..121K}, which is the likely host. The right panel shows this galaxy in a deep stacked image in the $r$-band obtained by the \gls{SUDARE} program in 2011 using the VLT Survey Telescope (VST, \citealt{2015A&A...584A..62C}). No source is visible on the SN position. {\it Middle row}: the SN candidate is clearly visible on two VIS $I_{\scriptscriptstyle\rm E}$ band images acquired on 21 November 2023 and 23 November 2023 as well as in the corresponding difference image. {\it Bottom row}: the SN candidate is not visible in the NISP $J_{\scriptscriptstyle\rm E}$ band image on 21 November 2023, but it appears on 23 November 2023. The difference image clearly shows the SN candidate. 2563440 102734 http://cds.cern.ch/record/2898602/files/w33_le3-pk-wl_shearshear.png 00033 Measured $E$-mode angular power spectra for cosmic shear from the galaxy ellipticity in the Flagship simulation, after applying the expected survey footprint of the northern part of \Euclid's first data release (DR1). Shown for each tomographic redshift bin (numbered panels) are the cosmic shear signal of that bin (black) and the cross-correlations with both lower-numbered (blue) and higher-numbered (orange) bins. The shading of the colour indicates the difference between the two bin numbers. Galaxy ellipticities have intrinsic ellipticity variations (`shape noise'), but no shape measurement error has been added here. Spectra are binned into 32 logarithmic bins. The $y$-axis changes to linear when crossing zero. 2563441 107640 http://cds.cern.ch/record/2898602/files/w31_1d-spectrum.png 00031 An example of \gls{NISP} spectroscopic data for a galaxy in the COSMOS field with $z=1.1770\pm0.0005$ \citep{Mainieri2007} The top figure shows the four spectrograms, with the H$\alpha$ line clearly visible. The bottom plot shows the corresponding combined and flux-calibrated 1D spectrum (in black) and its associated statistical noise (in orange), while the green line shows the combined continuum and emission line model that fits the data best. The bright H$\alpha$ line is detected with $\text{S/N}=14$ yielding a redshift of $z=1.1783\pm0.0005$ (vertical blue line), which is in agreement with the previously published value. The flux of the line, $f_{{\rm H}\alpha}=2\times 10^{-15}$\,erg\,cm$^{-2}$\,s$^{-1}$, is approximately ten times higher than the limiting flux for the \gls{EWS}. 2563442 44861 http://cds.cern.ch/record/2898602/files/w40_Fiducial-Photo-d-d.png 00040 Similar to \cref{fig:CLOE_euclid_probes_WL}, but for the photometric galaxy clustering (gg) for the auto-correlation between the 13 photometric redshift bins shown in \cref{fig:nzbins}. 2563443 44030 http://cds.cern.ch/record/2898602/files/w41_GCphot-nonlinear.png 00041 Ratio of photometric galaxy clustering $C_\ell$ between different nonlinear models and the result for {\tt Euclid Emulator 2}, for the auto-correlation of the redshift bin centred at $z=0.83446$. Also shown is the expected \Euclid error bar, including the contribution from super-sample covariance. 2563444 914187 http://cds.cern.ch/record/2898602/files/w6_PLM_drawing_optical_surfaces.png 00006 {\it Left:} Technical layout drawing of the \gls{PLM} optical surfaces to scale. Note that the dichroic plate and the field stop are not shown as covered by the FoM1 in this view. {\it Right:} Schematic functional view: light enters from the top onto the primary mirror M1. The secondary mirror M2 can be moved in 3 degrees of freedom by the \gls{M2M} to compensate launch and cool-down effects. Separated by a baffle, the light then enters the instrument cavity, where it gets relayed by two flat folding mirrors (FoM1, FoM2) whose coatings suppress photons below 0.5\,\micron. The tertiary mirror M3 directs the beam towards the dichroic plate. In transmission light enters NISP and in reflection VIS, by use of a third folding mirror (FoM3, silver coated). VIS consists of a separate \gls{FPA}, an \gls{RSU}, and a \gls{CU}. \Euclid's \gls{FGS} are co-mounted on the same structure as the VIS \gls{FPA}. Figure credit: \gls{ADS}. 2563445 31803 http://cds.cern.ch/record/2898602/files/w24_reach_leading.png 00024 Reach in ecliptic longitude around transit for the leading side of the survey, for ${\rm \gls{SAA}}\in[\ang{87;;},\ang{104;;}]$. Shown in red is the reach for the originally planned symmetric \gls{AA} range. To minimise the stray light in VIS, the range was shifted to $\rm{\gls{AA}}\in[\ang{-8.4;;},\ang{-3.0;;}]$ with much reduced visibility (grey) that would not permit the completion of the survey. By allowing the fields to rotate by up to \ang{3;;} with respect to the tessellation, a much larger area of the sky becomes accessible (blue). For observations in the trailing side, the areas must be rotated by \ang{180;;} around the origin. 2563446 119010 http://cds.cern.ch/record/2898602/files/w15_step_and_stare.png 00015 \Euclid's main step-and-stare observing mode, showing north-south steps along a circle as rotations around the $X$-axis. \Euclid can tilt to another circle by rotating around the $Y$-axis. 2563447 1447371 http://cds.cern.ch/record/2898602/files/w26_FS2_WL_overview.png 00026 The image on the left shows the lensing convergence for sources with $z_{\rm s}=1$ for a simulated patch of sky covering 50 deg$^2$. A zoom-in of the central square degree is shown on the right, with the sticks indicating the direction and amplitude of the corresponding shear. The colour bar of the convergence field displays values within the range $\pm 3\sigma$, where $\sigma$ is the rms value of the full-sky map. The stick at the bottom of the zoom-in image shows a reference amplitude for the shear sticks overlaid on that area of the mass map. 2563448 48941 http://cds.cern.ch/record/2898602/files/w39_Fiducial-Photo-g_e-g_e.png 00039 Synthetic angular power spectra $C_\ell$ for weak lensing ($EE$) for the auto-correlation between the 13 photometric redshift bins shown in \cref{fig:nzbins}. The shaded light blue area shows the corresponding uncertainty given by the corresponding analytical covariance matrix, including the super-sample covariance (SSC) term. 2563449 523206 http://cds.cern.ch/record/2898602/files/w46_euclid_overview_morphology.png 00046 Illustration of \Euclid's capabilities to measure galaxy morphologies. {\it Top panels:} Example of a simulated galaxy observed with VIS as compared to \gls{HST} and Subaru/HSC. The horizontal black line indicates a $1^{"}$ length. {\it Middle panels:} Comparison of the bias (left column), dispersion (middle column) and outlier fraction (right column) of the effective radii (top row), axis ratio (middle row) and \Sersic~index (bottom row) for the best-fit \Sersic~profiles obtained with different state-of-the art surface brightness fitting codes applied to simulated \Euclid galaxies as a function of \IE. \Sersic~parameters can be obtained with errors smaller than $\sim10\%$ down to a \IE=24. {\it Bottom panels:} Accuracy of deep learning based morphological classifications on simulated \Euclid observations of galaxies trained on human based labels. The confusion matrices show the accuracy for identifying spiral arms (left) and clumpy galaxies (right). Figure adapted from~\cite{2024arXiv240210187E} and~\cite{Bretonniere-EP26} 2563450 13021 http://cds.cern.ch/record/2898602/files/w49_wgl_z_snr.png 00049 Predicted signal-to-noise ratio of the weak gravitational lensing signal (the tangential shear) per angular bin produced by NISP-detected \ha\ emitters selected in five redshifts bins. Even at such high redshifts, the combination of \Euclid image quality, depth, and area results in a strong detection. 2563451 181769 http://cds.cern.ch/record/2898602/files/w43_triangle_LCDM_gamma_3x2pt_GCsp_zoomin_no_frame_v2.png 00043 Similar to \cref{fig:triangle_plot_w0waCDM}, but for the $\Lambda$CDM + $\gamma_{\rm g}$ model (adopting a flat geometry). We show the 1D-posterior distribution for the $\gamma_{\rm g}$ parameter in detail, citing the corresponding 1-sigma uncertainty associated with each probe as well as for the combination of both. 2563452 2535669 http://cds.cern.ch/record/2898602/files/w25_AllSkyEuclid.MollweideReferenceSurvey.MOL.article.png 00025 EWS coverage and colour-coded yearly progress in an all-sky Mollweide projection. The blue borders enclose the $16\,000\,\deg^2$ \gls{ROI} that contains the $13\,416\,\deg^2$ observed sky of the \gls{EWS}. Small dark regions within the \gls{EWS} are masks for stars brighter than $4$\,AB\,mag. 2563453 2552954 http://cds.cern.ch/record/2898602/files/w13_NISP_FM_open3_clip.png 00013 NISP flight model, before wrapping in light-tight multi-layer insulation. Light enters the filter wheel and grism wheel enclosure (left) through a collimator lens, hidden behind the large round wheel enclosure. A triplet camera lens assembly projects the beam onto the cold detector system at the right end of the structure, with the readout electronics to the very right. The NISP calibration lamp is located to the top left of the camera lens assembly in this picture. See \citet{EuclidSkyNISP} for details. 2563454 8416 http://cds.cern.ch/record/2898602/files/w47_survey_comparison_surfacedensity_rev.png 00047 \gls{AGN} surface density (deg$^{-2}$) versus survey area (deg$^2$) for \gls{EWS} and \gls{EDS} compared with wide field and medium area surveys in different wavebands (according to the legend). Unfilled downwards triangles show the surface density of \gls{AGN} detected in at least one \Euclid band (at 5$\,\sigma$), while filled upwards triangles represent the surface density of \gls{AGN} selected by using a simple colour criterion with \Euclid and \gls{LSST} colours, in both \gls{EWS} and \gls{EDS}. 2563455 342401 http://cds.cern.ch/record/2898602/files/w22_straylight_in_VIS.png 00022 Impact of the spacecraft orientation on the VIS background. \textit{Left}: At ${\rm AA}=0$ considerable stray light levels are present that exceed the zodiacal background by more than one order of magnitude. \textit{Right}: For ${\rm AA}<-\ang{2.9;;}$ the stray light is reduced to a few percent of the zodiacal background. It still needs to be modelled for some calibrations and low-surface-brightness science. 2563456 106536 http://cds.cern.ch/record/2898602/files/w19_som_coverage_2023oct11.png 00019 The galaxy multicolour-space to $i=25$\,AB\,mag, encoded in a 2D map with a 150$\times$75 binning using the self-organising map algorithm \citep{Masters15}. On the left is the distribution of spectroscopic coverage of the map prior to the C3R2 effort. The white regions are those parts of galaxy-colour space lacking high-confidence spectroscopic redshifts for calibration. On the right is the current map, after incorporating the $>$5800 C3R2 faint galaxy spectra. The map coverage has increased from about 51\% to $>$90\%, with many colour cells calibrated with multiple galaxies. Spectra to calibrate the remaining empty cells may be obtained as next-generation spectroscopic facilities come online, or they can be addressed with clustering redshift approaches \citep[e.g.][]{Newman08}. We note that the remaining empty regions correspond to lower-density (less occupied) parts of the galaxy-colour space. 2563457 73357 http://cds.cern.ch/record/2898602/files/w44_HOWLS_rescaled.png 00044 Constraints on $\sigma_8$ and $w_0$ from a Fisher analysis of $\xi_\pm$ and the convergence \gls{PDF}, when keeping all other cosmological parameters fixed, normalised by the constraints of second-order statistics alone. We assumed a \Euclid-like source redshift distribution to derive the results. The $\xi_+$ and $\xi_-$ values were taken in the range of \ang{;1.65;} to \ang{;201;}. The \gls{PDF} was measured for convergence fields smoothed by a tophat filter of radius \ang{;4.69;}. Covariances were estimated from the \gls{SLICS} \citep{Harnois-Deraps2018}, derivatives were either modelled analytically (dashed lines) or estimated from the DUSTGRAIN-pathfinder simulations \citep[][solid lines]{Giocoli2018}. 2563458 13879 http://cds.cern.ch/record/2898602/files/w17_calib_bar_chart_global.png 00017 Breakdown of activities during routine operations. The blue bars provide on-sky data that are simultaneously valuable for science, target characterisation, and calibration purposes; the instruments take additional calibration data while the data processing units are busy with the science exposures, and while the telescope is slewing. The yellow bar represents pure hardware calibration with little or no astrophysical relevance. Unallocated time arises because the survey runs out of unobserved sky areas (\cref{sec:unallocatedtime}). 2563459 1086740 http://cds.cern.ch/record/2898602/files/w45_M0416_EWS_NEW2.png 00045 Simulated \Euclid observation in the \IE\ band of the central region of the strong lensing galaxy cluster MACSJ0416.1$-$2403 \citep[$z=0.397$,][]{2016ApJS..224...33B}. The image was obtained with the code \texttt{Hst2Euclid} (Bergamini et al., in prep.), using \gls{HST} observations taken as part of the Hubble Frontier Fields Survey \citep{2017ApJ...837...97L}. The image reproduces the depth of the \gls{EWS} and several giant arcs are clearly visible. The inset shows a zoom into a known galaxy-galaxy strong lensing system, where the lens is a cluster member and the source a background galaxy at redshift $z=3.222$ \citep[ID14,][]{2017ApJ...842...47V}. 2563460 647120 http://cds.cern.ch/record/2898602/files/w27_pv01_vis_cutout_2_drk_det.png 00027 VIS view of a $\ang{;2.5;}\times\ang{;2.0;}$ wide area of \Euclid's self-calibration field (\cref{sec:selfcal_EUDF}) taken during the \gls{PV} phase. \textit{Left}: An unprocessed single exposure, where cosmic rays are clearly visible. \textit{Right}: A VIS-processed stack using 42 exposures, or about 10 times the exposure time of the EWS. The ability of \Euclid to reveal low-surface-brightness features is evident. 2563461 1822787 http://cds.cern.ch/record/2898602/files/w29_EUDF_cutout.png 00029 False-colour NISP image of a $\ang{;4.5;}\times\ang{;3.0;}$ area of \Euclid's self-calibration field (\cref{sec:selfcal_EUDF}). Filters \YE, \JE, and \HE~are shown in blue, green, and red, respectively. The depth is that of the \gls{EDS} (\cref{sec:deepsurvey}), about 26.4\,AB\,mag per band. The bright star has 11.5\,AB\,mag, showcasing \Euclid's excellent performance for in-field stray light suppression. Field rotation between observations is evident from the diffraction spikes. 2563462 50694 http://cds.cern.ch/record/2898602/files/w11_common_fov.png 00011 Common instrumental view to the sky of the VIS (blue) and NISP (red) instruments. The footprint was generated from two simultaneously taken VIS and NISP images, astrometrically calibrated and registered to a common pixel grid. Small blue numbers refer to VIS, large red numbers to NISP detector IDs. Interchip gaps are evident. The VIS detectors have an additional thin horizontal gap (not shown here) from the charge-injection lines used to monitor radiation damage through charge-transfer inefficiency. The respective spatial and angular offsets between both instruments are \mbox{\ang{;;52.5}} and \ang{0.078}. 2563463 687441 http://cds.cern.ch/record/2898602/files/w42_triangle_w0waCDM_3x2pt_GCsp_zoomin_no_frame_v2.png 00042 Forecast of the constraints for the $w_0$$w_a$CDM cosmological model (adopting a flat geometry) using only the \Euclid primary probes, as described in \cref{sec:spv3}. The sampled parameter space also included the cosmological parameters ($\Omega_{\rm b} h^2$, $\Omega_{\rm c} h^2$, $H_0$, $n_{\rm s}$, $A_{\rm s}$, $w_0$ and $w_a$) and several nuisance parameters listed in \cref{tab:fiducial_model}. The grey dashed lines show the fiducial values of the parameters, that are also listed in \cref{tab:fiducial_model}. The posterior distributions were obtained using \texttt{CLOE} v2.0.2 and the sampler \texttt{Nautilus}, with 4000 live points and 16 neural networks. For the photometric probes, we used $\ell_{\rm max} = 5000$ for cosmic shear and $\ell_{\rm max} = 3000$ for photometric angular clustering, and galaxy-galaxy-lensing, while for the spectroscopic probe we used, $k_{\rm max} = 0.3\,h\,{\rm Mpc}^{-1}$. We show the 2D-posterior distribution for the parameters $w_0$ and $w_a$ in detail, citing the corresponding \gls{FOM} obtained for each probe as well as for the combination of both. 2563464 54310 http://cds.cern.ch/record/2898602/files/w23_straylight_survey_map.png 00023 Stray light map and survey fields. The coloured squares show the stray light level in VIS dark exposures as a function of spacecraft orientation angles. The log-scaled greyscale map shows the density of fields in the latest survey configuration including calibrations. The survey minimises stray light over the \gls{EWS} and \gls{EDS}, with the majority of the observations to be taken at ${\rm \gls{AA}} = \ang{-4.5;;}$. The \gls{CPC} fields are NISP-specific and include higher \gls{SAA} positions (above the jagged black line); while NISP is not affected by stray light, parallel VIS observations must still be taken. 2563465 23794 http://cds.cern.ch/record/2898602/files/w32_NNPZ.png 00032 Photometric redshift performance of the mode of individual probability distributions using \texttt{NNPZ}, taken from \cite{Desprez-EP10} who used simulated \gls{DES} and \Euclid \gls{NIR} data. Regions of photometric redshift space that will be excluded from the weak lensing analyses are shown in grey. 2740313 45796572 http://cds.cern.ch/record/2898602/files/publication.pdf Fulltext 2783416 1248259 http://cds.cern.ch/record/2898602/files/w44_triangle_w0waCDM_3x2pt_GCsp_zoomin_no_frame_v2.png 00044 Forecast of the constraints for the $w_0$$w_a$CDM cosmological model (adopting a flat geometry) using only the \Euclid primary probes, as described in \cref{sec:spv3}. The sampled parameter space also included the cosmological parameters ($\Omega_{\rm b} h^2$, $\Omega_{\rm c} h^2$, $H_0$, $n_{\rm s}$, $A_{\rm s}$, $w_0$ and $w_a$) and several nuisance parameters listed in \cref{tab:fiducial_model}. The grey dashed lines show the fiducial values of the parameters, that are also listed in \cref{tab:fiducial_model}. The posterior distributions were obtained using \texttt{CLOE} v2.0.2 and the sampler \texttt{Nautilus}, with 4000 live points and 16 neural networks. For the photometric probes, we used $\ell_{\rm max} = 5000$ for cosmic shear and $\ell_{\rm max} = 3000$ for photometric angular clustering, and galaxy-galaxy-lensing, while for the spectroscopic probe we used, $k_{\rm max} = 0.3\,h\,{\rm Mpc}^{-1}$. We show the 2D-posterior distribution for the parameters $w_0$ and $w_a$ in detail, citing the corresponding \gls{FOM} obtained for each probe as well as for the combination of both. 2783417 333500 http://cds.cern.ch/record/2898602/files/w34_PSF_CCD4-5_INTRA.png 00034 Comparison between the mean profile of stars and the VIS \gls{PSF} model during the \gls{PV} \gls{PDC} test data. The left panels show stacked images of stars selected from \gls{CCD} 4-5, while the right panels show the corresponding stacked model \glspl{PSF}. The top panels show in-focus data and models, while the bottom panels show defocused data and models, obtained with M2 movement of $-18\,\micron$. All images are produced as the mean of flux-selected stars, applying 2\,$\sigma$ clipping on pixels to remove contaminating objects. Red contours are isophotes of the model \gls{PSF}, superimposed on both the model and data images. The model is a pre-calibration one, fit to a small \gls{PDC} test data set. 2783418 50699 http://cds.cern.ch/record/2898602/files/w41_Fiducial-Photo-g_e-g_e.png 00041 Synthetic angular power spectra $C_\ell$ for weak lensing ($EE$) for the auto-correlation between the 13 photometric redshift bins shown in \cref{fig:nzbins}. The shaded light blue area shows the corresponding uncertainty given by the corresponding analytical covariance matrix, including the super-sample covariance (SSC) term. 2783419 241027 http://cds.cern.ch/record/2898602/files/w52_transient.png 00052 {\it Top row}: The left panel shows a section of a VIS image acquired on 21 November 2023 centred on ${\rm RA} = 09^{\rm h}59^{\rm m}39.872^{\rm s}$, ${\rm Dec} = +02^{\circ}35\arcmin54\farcs129$ (J2000.0), the location of the SN candidate AT~2023adqt (internally called Euclid\_SNT\_2023B). It is close to the galaxy SDSS~J095940.08+023554.6 \citep[$z=0.246$;][]{2012ApJ...753..121K}, which is the likely host. The right panel shows this galaxy in a deep stacked image in the $r$-band obtained by the \gls{SUDARE} program in 2011 using the VLT Survey Telescope (VST, \citealt{2015A&A...584A..62C}). No source is visible on the SN position. {\it Middle row}: the SN candidate is clearly visible on two VIS $I_{\scriptscriptstyle\rm E}$ band images acquired on 21 November 2023 and 23 November 2023 as well as in the corresponding difference image. {\it Bottom row}: the SN candidate is not visible in the NISP $J_{\scriptscriptstyle\rm E}$ band image on 21 November 2023, but it appears on 23 November 2023. The difference image clearly shows the SN candidate. 2783420 1086740 http://cds.cern.ch/record/2898602/files/w47_M0416_EWS_NEW2.png 00047 Simulated \Euclid observation in the \IE\ band of the central region of the strong lensing galaxy cluster MACSJ0416.1$-$2403 \citep[$z=0.397$,][]{2016ApJS..224...33B}. The image was obtained with the code \texttt{Hst2Euclid} (Bergamini et al., in prep.), using \gls{HST} observations taken as part of the Hubble Frontier Fields Survey \citep{2017ApJ...837...97L}. The image reproduces the depth of the \gls{EWS} and several giant arcs are clearly visible. The inset shows a zoom into a known galaxy-galaxy strong lensing system, where the lens is a cluster member and the source a background galaxy at redshift $z=3.222$ \citep[ID14,][]{2017ApJ...842...47V}. 2783421 144250 http://cds.cern.ch/record/2898602/files/w36_le3-pk-wl_pospos.png 00036 Similar to \cref{fig:le3-pk-wl_shearshear}, but for angular clustering from galaxy positions. 2783422 14373 http://cds.cern.ch/record/2898602/files/w51_wgl_z_snr.png 00051 Predicted signal-to-noise ratio of the weak gravitational lensing signal (the tangential shear) per angular bin produced by NISP-detected \ha\ emitters selected in five redshifts bins. Even at such high redshifts, the combination of \Euclid image quality, depth, and area results in a strong detection. 2783423 915426 http://cds.cern.ch/record/2898602/files/w50_SFR-mass.png 00050 \gls{SFR}-stellar mass diagram. The points represent the photometric sample, divided into star-forming (in blue) and passive galaxies (in red). Galaxy type was assigned as a function of mass and redshift from the stellar mass function (SMF) by \cite{2010ApJ...721..193P} and \cite{Ilbert2013}. The coloured contours highlight the spectroscopic sample (for the \gls{EWS} in the case of star-forming galaxies in blue, and for the \gls{EDS} in the case of passive galaxies, in red). The two insets show two examples of star-forming and passive galaxies as observed in the \gls{EDS}, comprising both the blue and the red grisms, simulated from the \gls{MAMBO} mock catalogue \citep{Girelli.phd} taking into account all instrumental and observational effects. 2783424 374974 http://cds.cern.ch/record/2898602/files/w33_PSF_CCD4-5_D0_INFOC.png 00033 Comparison between the mean profile of stars and the VIS \gls{PSF} model during the \gls{PV} \gls{PDC} test data. The left panels show stacked images of stars selected from \gls{CCD} 4-5, while the right panels show the corresponding stacked model \glspl{PSF}. The top panels show in-focus data and models, while the bottom panels show defocused data and models, obtained with M2 movement of $-18\,\micron$. All images are produced as the mean of flux-selected stars, applying 2\,$\sigma$ clipping on pixels to remove contaminating objects. Red contours are isophotes of the model \gls{PSF}, superimposed on both the model and data images. The model is a pre-calibration one, fit to a small \gls{PDC} test data set. 2783425 195504 http://cds.cern.ch/record/2898602/files/w37_le3-pk-wl_posshear.png 00037 Similar to \cref{fig:le3-pk-wl_shearshear}, but for galaxy--galaxy lensing from the positions of galaxies and their ellipticity $E$-mode. Here, cross-correlations in each panel are shown for positions in that bin and foreground or background ellipticities. In harmonic space, the galaxy-galaxy lensing signal is negative; the apparent positive signal at higher redshifts is due to the intrinsic alignment of galaxies. 2783426 274776 http://cds.cern.ch/record/2898602/files/w45_triangle_LCDM_gamma_3x2pt_GCsp_zoomin_no_frame_v2.png 00045 Similar to \cref{fig:triangle_plot_w0waCDM}, but for the $\Lambda$CDM + $\gamma_{\rm g}$ model (adopting a flat geometry). We show the 1D-posterior distribution for the $\gamma_{\rm g}$ parameter in detail, citing the corresponding 1-sigma uncertainty associated with each probe as well as for the combination of both. 2783427 523206 http://cds.cern.ch/record/2898602/files/w48_euclid_overview_morphology.png 00048 Illustration of \Euclid's capabilities to measure galaxy morphologies. {\it Top panels:} Example of a simulated galaxy observed with VIS as compared to \gls{HST} and Subaru/HSC. The horizontal black line indicates a $1^{"}$ length. {\it Middle panels:} Comparison of the bias (left column), dispersion (middle column) and outlier fraction (right column) of the effective radii (top row), axis ratio (middle row) and \Sersic~index (bottom row) for the best-fit \Sersic~profiles obtained with different state-of-the art surface brightness fitting codes applied to simulated \Euclid galaxies as a function of \IE. \Sersic~parameters can be obtained with errors smaller than $\sim10\%$ down to a \IE=24. {\it Bottom panels:} Accuracy of deep learning based morphological classifications on simulated \Euclid observations of galaxies trained on human based labels. The confusion matrices show the accuracy for identifying spiral arms (left) and clumpy galaxies (right). Figure adapted from~\cite{2024arXiv240210187E} and~\cite{Bretonniere-EP26} 2783428 193584 http://cds.cern.ch/record/2898602/files/w40_nz_kernels_FS2PHZ.png 00040 \textit{Top}: Normalised redshift distributions $n(z)$, measured from the \gls{EFS}, for the 13 equi-populated bins that were used for the 3\texttimes2pt analysis for the \gls{SPV}. \textit{Middle}: Resulting photometric magnification kernels for the 13 redshift bins shown above. \textit{Bottom}: Corresponding shear kernels before (dashed) and after (solid lines) BNT transformation. The latter case gives a better grasp of the tomographic information that can be inferred from \gls{WL} observations. 2783429 130563 http://cds.cern.ch/record/2898602/files/w35_le3-pk-wl_shearshear.png 00035 Measured $E$-mode angular power spectra for cosmic shear from the galaxy ellipticity in the Flagship simulation, after applying the expected survey footprint of the northern part of \Euclid's first data release (DR1). Shown for each tomographic redshift bin (numbered panels) are the cosmic shear signal of that bin (black) and the cross-correlations with both lower-numbered (blue) and higher-numbered (orange) bins. The shading of the colour indicates the difference between the two bin numbers. Galaxy ellipticities have intrinsic ellipticity variations (`shape noise'), but no shape measurement error has been added here. Spectra are binned into 32 logarithmic bins. The $y$-axis changes to linear when crossing zero. 2783430 84764 http://cds.cern.ch/record/2898602/files/w38_euclid-timeline.png 00038 Tentative timeline for public data releases, indicating the three main \glspl{DR} as well as four smaller quick releases (Q1--Q4). The moment of release is linked to the start of early survey operations, but unforeseen changes to the mission operation may lead to some changes to this nominal schedule. 2783431 105095 http://cds.cern.ch/record/2898602/files/w46_HOWLS_rescaled.png 00046 Constraints on $\sigma_8$ and $w_0$ from a Fisher analysis of $\xi_\pm$ and the convergence \gls{PDF}, when keeping all other cosmological parameters fixed, normalised by the constraints of second-order statistics alone. We assumed a \Euclid-like source redshift distribution to derive the results. The $\xi_+$ and $\xi_-$ values were taken in the range of \ang{;1.65;} to \ang{;201;}. The \gls{PDF} was measured for convergence fields smoothed by a tophat filter of radius \ang{;4.69;}. Covariances were estimated from the \gls{SLICS} \citep{Harnois-Deraps2018}, derivatives were either modelled analytically (dashed lines) or estimated from the DUSTGRAIN-pathfinder simulations \citep[][solid lines]{Giocoli2018}. 2783432 75092 http://cds.cern.ch/record/2898602/files/w43_GCphot-nonlinear.png 00043 Ratio of photometric galaxy clustering $C_\ell$ between different nonlinear models and the result for {\tt Euclid Emulator 2}, for the auto-correlation of the redshift bin centred at $z=0.83446$. Also shown is the expected \Euclid error bar, including the contribution from super-sample covariance. 2783433 35292 http://cds.cern.ch/record/2898602/files/w39_Fiducial-spectro.png 00039 Legendre multipoles of the redshift-space power spectrum of galaxy clustering, $P_{\ell}(k)$, as expected from the spectroscopic survey data within four redshift bins (respectively, $0.9<z<1.1$, $1.1<z<1.3$, $1.3<z<1.5$ and $1.5<z<1.8$, where the $P_{\ell}(k)$ are evaluated at the mean of the redshift intervals). The plots show the monopole ($\ell = 0$, solid line), quadrupole ($\ell = 2$, dashed-dotted line), and hexadecapole ($\ell = 4$, dashed line), together with their error corridors (shaded regions). The latter simply connect the 1-$\sigma$ errors from the diagonal values of the analytical covariance matrix, computed for narrow bins of $\Delta k = 0.0017\, h\,\mathrm{Mpc}^{-1}$. As a result of this fine binning, the shaded areas do not fully reflect the actual constraining power of the measurements. 2783434 45496 http://cds.cern.ch/record/2898602/files/w42_Fiducial-Photo-d-d.png 00042 Similar to \cref{fig:CLOE_euclid_probes_WL}, but for the photometric galaxy clustering (gg) for the auto-correlation between the 13 photometric redshift bins shown in \cref{fig:nzbins}. 2783435 25109 http://cds.cern.ch/record/2898602/files/w49_survey_comparison_surfacedensity_rev.png 00049 \gls{AGN} surface density (deg$^{-2}$) versus survey area (deg$^2$) for \gls{EWS} and \gls{EDS} compared with wide field and medium area surveys in different wavebands (according to the legend). Unfilled downwards triangles show the surface density of \gls{AGN} detected in at least one \Euclid band (at 5$\,\sigma$), while filled upwards triangles represent the surface density of \gls{AGN} selected by using a simple colour criterion with \Euclid and \gls{LSST} colours, in both \gls{EWS} and \gls{EDS}. 13 ARTICLE 2898601 20250513220635.0 DOI arXiv 10.1051/0004-6361/202450345 publication oai:cds.cern.ch:2898601 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2405.13494 Inspire oai:inspirehep.net:2789327 2025-05-06T09:14:28Z 2025-05-07T02:00:08Z marcxml true https://inspirehep.net/api/oai2d arXiv arXiv:2405.13494 astro-ph.IM eng Hormuth, F. U. Leipzig (main) Heidelberg, Max Planck Inst. Astron. Felix Hormuth Engineering, Goethestr. 17, 69181 Leimen, Germany Max-Planck-Institut für Astronomie, Königstuhl 17, 69117 Heidelberg, Germany arXiv Euclid. IV. The NISP Calibration Unit 2025-04 2024-05-22 21 p arXiv Paper accepted for publication in A&A as part of the special issue 'Euclid on Sky', which contains Euclid key reference papers and first results from the Euclid Early Release Observations arXiv The near-infrared calibration unit (NI-CU) on board Euclid's Near-Infrared Spectrometer and Photometer (NISP) is the first astronomical calibration lamp based on light-emitting diodes (LEDs) to be operated in space. Euclid is a mission in ESA's Cosmic Vision 2015-2025 framework, to explore the dark universe and provide a next-level characterisation of the nature of gravitation, dark matter, and dark energy. Calibrating photometric and spectrometric measurements of galaxies to better than 1.5% accuracy in a survey homogeneously mapping ~14000 deg^2 of extragalactic sky requires a very detailed characterisation of near-infrared (NIR) detector properties, as well their constant monitoring in flight. To cover two of the main contributions - relative pixel-to-pixel sensitivity and non-linearity characteristics - as well as support other calibration activities, NI-CU was designed to provide spatially approximately homogeneous (<12% variations) and temporally stable illumination (0.1%-0.2% over 1200s) over the NISP detector plane, with minimal power consumption and energy dissipation. NI-CU is covers the spectral range ~[900,1900] nm - at cryo-operating temperature - at 5 fixed independent wavelengths to capture wavelength-dependent behaviour of the detectors, with fluence over a dynamic range of >=100 from ~15 ph s^-1 pixel^-1 to >1500 ph s^-1 pixel^-1. For this functionality, NI-CU is based on LEDs. We describe the rationale behind the decision and design process, describe the challenges in sourcing the right LEDs, as well as the qualification process and lessons learned. We also provide a description of the completed NI-CU, its capabilities and performance as well as its limits. NI-CU has been integrated into NISP and the Euclid satellite, and since Euclid's launch in July 2023 has started supporting survey operations. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ arXiv astro-ph.GA SzGeCERN Astrophysics and Astronomy arXiv astro-ph.CO SzGeCERN Astrophysics and Astronomy arXiv astro-ph.IM SzGeCERN Astrophysics and Astronomy ARTICLE EUCLID Jahnke, K. ORCID:0000-0003-3804-2137 Heidelberg, Max Planck Inst. Astron. Max-Planck-Institut für Astronomie, Königstuhl 17, 69117 Heidelberg, Germany Schirmer, M. ORCID:0000-0003-2568-9994 Heidelberg, Max Planck Inst. Astron. Max-Planck-Institut für Astronomie, Königstuhl 17, 69117 Heidelberg, Germany Lee, C.G.-Y. Erlangen - Nuremberg U. von Hoerner \& Sulger GmbH, Schlossplatz 8, 68723 Schwetzingen, Germany European Organisation for the Exploitation of Meteorological Satellites Scott, T. Erlangen - Nuremberg U. von Hoerner \& Sulger GmbH, Schlossplatz 8, 68723 Schwetzingen, Germany Barbier, R. IP2I, Lyon Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, F-69100, France Ferriol, S. IP2I, Lyon Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, F-69100, France Gillard, W. ORCID:0000-0003-4744-9748 Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Grupp, F. Garching, Max Planck Inst., MPE Munich U. Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Holmes, R. Surrey U. Surrey Satellite Technology Limited, Tycho House, 20 Stephenson Road, Surrey Research Park, Guildford, GU2 7YE, UK Holmes, W. Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA Kubik, B. ORCID:0009-0006-5823-4880 IP2I, Lyon Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, F-69100, France Macias-Perez, J. ORCID:0000-0002-5385-2763 LPSC, Grenoble Univ. Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 53, Avenue des Martyrs, 38000, Grenoble, France Laurent, M. Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Marpaud, J. LPSC, Grenoble Univ. Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 53, Avenue des Martyrs, 38000, Grenoble, France Marton, M. LPSC, Grenoble Univ. Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 53, Avenue des Martyrs, 38000, Grenoble, France Medinaceli, E. ORCID:0000-0002-4040-7783 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Morgante, G. Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Toledo-Moreo, R. ORCID:0000-0002-2997-4859 Cartagena Politecnica U. Universidad Politécnica de Cartagena, Departamento de Electrónica y Tecnología de Computadoras, Plaza del Hospital 1, 30202 Cartagena, Spain Trifoglio, M. ORCID:0000-0002-2505-3630 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Rix, Hans-Walter ORCID:0000-0003-4996-9069 Heidelberg, Max Planck Inst. Astron. Max-Planck-Institut für Astronomie, Königstuhl 17, 69117 Heidelberg, Germany Secroun, A. ORCID:0000-0003-0505-3710 Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Seiffert, M. ORCID:0000-0002-7536-9393 Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA Stassi, P. ORCID:0000-0001-5584-8410 LPSC, Grenoble Univ. Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 53, Avenue des Martyrs, 38000, Grenoble, France Wachter, S. Carnegie Inst. Observ. Caltech Carnegie Observatories, Pasadena, CA 91101, USA Gutierrez, C.M. Laguna U., Tenerife Instituto de Astrofísica de Canarias Vescovi, C. LPSC, Grenoble Univ. Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 53, Avenue des Martyrs, 38000, Grenoble, France Amara, A. U. Surrey (main) School of Mathematics and Physics, University of Surrey, Guildford, Surrey, GU2 7XH, UK Andreon, S. ORCID:0000-0002-2041-8784 Brera Observ. INAF-Osservatorio Astronomico di Brera, Via Brera 28, 20122 Milano, Italy Auricchio, N. ORCID:0000-0003-4444-8651 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Baccigalupi, C. ORCID:0000-0002-8211-1630 SISSA, Trieste Trieste Observ. INFN, Trieste IFPU, Trieste SISSA, International School for Advanced Studies, Via Bonomea 265, 34136 Trieste TS, Italy INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy Baldi, M. ORCID:0000-0003-4145-1943 U. Bologna, DIFA Bologna Observ. INFN, Bologna Dipartimento di Fisica e Astronomia, Università di Bologna, Via Gobetti 93/2, 40129 Bologna, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Balestra, A. ORCID:0000-0002-6967-261X Padua Observ. INAF-Osservatorio Astronomico di Padova, Via dell'Osservatorio 5, 35122 Padova, Italy Bardelli, S. ORCID:0000-0002-8900-0298 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Battaglia, P. ORCID:0000-0002-7337-5909 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Bender, R. ORCID:0000-0001-7179-0626 Garching, Max Planck Inst., MPE Munich U. Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Bodendorf, C. Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Bonino, D. ORCID:0000-0002-3336-9977 Turin Observ. INAF-Osservatorio Astrofisico di Torino, Via Osservatorio 20, 10025 Pino Torinese Branchini, E. ORCID:0000-0002-0808-6908 Genoa U. MIT, Cambridge, Dept. Phys. INFN, Genoa Brera Observ. Dipartimento di Fisica, Università di Genova, Via Dodecaneso 33, 16146, Genova, Italy INFN-Sezione di Genova, Via Dodecaneso 33, 16146, Genova, Italy INAF-Osservatorio Astronomico di Brera, Via Brera 28, 20122 Milano, Italy Brescia, M. ORCID:0000-0001-9506-5680 Naples U. INFN, Naples Capodimonte Observ. Department of Physics "E. Pancini", University Federico II, Via Cinthia 6, 80126, Napoli, Italy INAF-Osservatorio Astronomico di Capodimonte, Via Moiariello 16, 80131 Napoli, Italy INFN section of Naples, Via Cinthia 6, 80126, Napoli, Italy Brinchmann, J. ORCID:0000-0003-4359-8797 Porto U. Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto, CAUP, Rua das Estrelas, PT4150-762 Porto, Portugal Camera, S. ORCID:0000-0003-3399-3574 Turin U. INFN, Turin Turin Observ. Dipartimento di Fisica, Università degli Studi di Torino, Via P. Giuria 1, 10125 Torino, Italy INFN-Sezione di Torino, Via P. Giuria 1, 10125 Torino, Italy INAF-Osservatorio Astrofisico di Torino, Via Osservatorio 20, 10025 Pino Torinese Capobianco, V. ORCID:0000-0002-3309-7692 Turin Observ. INAF-Osservatorio Astrofisico di Torino, Via Osservatorio 20, 10025 Pino Torinese Carbone, C. ORCID:0000-0003-0125-3563 IASF, Milan INAF-IASF Milano, Via Alfonso Corti 12, 20133 Milano, Italy Cardone, V.F. Rome Observ. Rome U. INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy INFN-Sezione di Roma, Piazzale Aldo Moro, 2 - c/o Dipartimento di Fisica, Edificio G. Marconi, 00185 Roma, Italy Carretero, J. ORCID:0000-0002-3130-0204 Madrid, CIEMAT Barcelona, IFAE Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas Port d'Informació Científica, Campus UAB, C. Albareda s/n, 08193 Bellaterra Casas, R. ORCID:0000-0002-8165-5601 Barcelona, IEEC Institut d'Estudis Espacials de Catalunya Institute of Space Sciences Casas, S. ORCID:0000-0002-4751-5138 Unlisted, GE Institute for Theoretical Particle Physics and Cosmology Castellano, M. ORCID:0000-0001-9875-8263 Rome Observ. INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Castignani, G. ORCID:0000-0001-6831-0687 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Cavuoti, S. ORCID:0000-0002-3787-4196 Capodimonte Observ. INFN, Naples INAF-Osservatorio Astronomico di Capodimonte, Via Moiariello 16, 80131 Napoli, Italy INFN section of Naples, Via Cinthia 6, 80126, Napoli, Italy Cimatti, A. Bologna U. Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Colodro-Conde, C. IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias, Calle Vía Láctea s/n, 38204, San Cristóbal de La Laguna, Tenerife, Spain Congedo, G. ORCID:0000-0003-2508-0046 Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Conselice, C.J. ORCID:0000-0003-1949-7638 Jodrell Bank Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, UK Conversi, L. ORCID:0000-0002-6710-8476 ESRIN, Frascati ESA, Madrid European Space Agency/ESRIN, Largo Galileo Galilei 1, 00044 Frascati, Roma, Italy ESAC/ESA, Camino Bajo del Castillo, s/n., Urb. Villafranca del Castillo, 28692 Villanueva de la Cañada, Madrid, Spain Copin, Y. ORCID:0000-0002-5317-7518 IP2I, Lyon Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, F-69100, France Corcione, L. ORCID:0000-0002-6497-5881 Turin Observ. INAF-Osservatorio Astrofisico di Torino, Via Osservatorio 20, 10025 Pino Torinese Courbin, F. ORCID:0000-0003-0758-6510 LASTRO Observ. Institute of Physics, Laboratory of Astrophysics, Ecole Polytechnique Fédérale de Lausanne Courtois, H.M. ORCID:0000-0003-0509-1776 IP2I, Lyon UCB Lyon 1, CNRS/IN2P3, IUF, IP2I Lyon, 4 rue Enrico Fermi, 69622 Villeurbanne, France Da Silva, A. ORCID:0000-0002-6385-1609 Lisbon U. Departamento de Física, Faculdade de Ciências, Universidade de Lisboa, Edifício C8, Campo Grande, PT1749-016 Lisboa, Portugal Instituto de Astrofísica e Ciências do Espaço, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal Degaudenzi, H. ORCID:0000-0002-5887-6799 U. Geneva (main) Department of Astronomy, University of Geneva, ch. d'Ecogia 16, 1290 Versoix, Switzerland De Lucia, G. ORCID:0000-0002-6220-9104 Trieste Observ. INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Dinis, J. Lisbon U. Departamento de Física, Faculdade de Ciências, Universidade de Lisboa, Edifício C8, Campo Grande, PT1749-016 Lisboa, Portugal Instituto de Astrofísica e Ciências do Espaço, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal Douspis, M. ORCID:0000-0003-4203-3954 Orsay, IAS Université Paris-Saclay, CNRS, Institut d'astrophysique spatiale, 91405, Orsay, France Dubath, F. ORCID:0000-0002-6533-2810 U. Geneva (main) Department of Astronomy, University of Geneva, ch. d'Ecogia 16, 1290 Versoix, Switzerland Ducret, F. Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Dupac, X. ESA, Madrid ESAC/ESA, Camino Bajo del Castillo, s/n., Urb. Villafranca del Castillo, 28692 Villanueva de la Cañada, Madrid, Spain Dusini, S. ORCID:0000-0002-1128-0664 INFN, Padua INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Fabricius, M. ORCID:0000-0002-7025-6058 Garching, Max Planck Inst., MPE Munich U. Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Farina, M. ORCID:0000-0002-3089-7846 INAF, IAPS, Rome INAF-Istituto di Astrofisica e Planetologia Spaziali, via del Fosso del Cavaliere, 100, 00100 Roma, Italy Farrens, S. ORCID:0000-0002-9594-9387 AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Faustini, F. ORCID:0000-0001-6274-5145 ASI, Rome Rome Observ. Space Science Data Center, Italian Space Agency, via del Politecnico snc, 00133 Roma, Italy INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Fotopoulou, S. ORCID:0000-0002-9686-254X Bristol U. School of Physics, HH Wills Physics Laboratory, University of Bristol, Tyndall Avenue, Bristol, BS8 1TL, UK Fourmanoit, N. Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Frailis, M. ORCID:0000-0002-7400-2135 Trieste Observ. INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Franceschi, E. ORCID:0000-0002-0585-6591 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Franzetti, P. IASF, Milan INAF-IASF Milano, Via Alfonso Corti 12, 20133 Milano, Italy Fumana, M. ORCID:0000-0001-6787-5950 IASF, Milan INAF-IASF Milano, Via Alfonso Corti 12, 20133 Milano, Italy Galeotta, S. ORCID:0000-0002-3748-5115 Trieste Observ. INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Garilli, B. ORCID:0000-0001-7455-8750 IASF, Milan INAF-IASF Milano, Via Alfonso Corti 12, 20133 Milano, Italy George, K. ORCID:0000-0002-1734-8455 Munich U. Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Gillis, B. ORCID:0000-0002-4478-1270 Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Giocoli, C. ORCID:0000-0002-9590-7961 Bologna Observ. INFN, Bologna INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Istituto Nazionale di Fisica Nucleare, Sezione di Bologna, Via Irnerio 46, 40126 Bologna, Italy Grazian, A. ORCID:0000-0002-5688-0663 Padua Observ. INAF-Osservatorio Astronomico di Padova, Via dell'Osservatorio 5, 35122 Padova, Italy Guzzo, L. ORCID:0000-0001-8264-5192 Milan U. Brera Observ. Dipartimento di Fisica "Aldo Pontremoli", Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy INAF-Osservatorio Astronomico di Brera, Via Brera 28, 20122 Milano, Italy Haugan, S.V.H. ORCID:0000-0001-9648-7260 Oslo U. Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, 0315 Oslo, Norway Hoekstra, H. ORCID:0000-0002-0641-3231 Leiden Observ. Leiden Observatory, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands Hook, I. ORCID:0000-0002-2960-978X Lancaster U. Department of Physics, Lancaster University, Lancaster, LA1 4YB, UK Hornstrup, A. ORCID:0000-0002-3363-0936 Denmark, Tech. U. Bohr Inst. Technical University of Denmark, Elektrovej 327, 2800 Kgs. Lyngby, Denmark Cosmic Dawn Center Hudelot, P. Paris, Inst. Astrophys. Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France Jhabvala, M. NASA, Goddard NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA Keihänen, E. ORCID:0000-0003-1804-7715 Helsinki Inst. of Phys. Department of Physics and Helsinki Institute of Physics, Gustaf Hällströmin katu 2, 00014 University of Helsinki, Finland Kermiche, S. ORCID:0000-0002-0302-5735 Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Kiessling, A. ORCID:0000-0002-2590-1273 Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA Kilbinger, M. ORCID:0000-0001-9513-7138 AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Kitching, T. ORCID:0000-0002-4061-4598 Mullard Space Sci. Lab. Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Kohley, R. ESA, Madrid ESAC/ESA, Camino Bajo del Castillo, s/n., Urb. Villafranca del Castillo, 28692 Villanueva de la Cañada, Madrid, Spain Kümmel, M. ORCID:0000-0003-2791-2117 Munich U. Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Kunz, M. ORCID:0000-0002-3052-7394 Geneva U. Université de Genève, Département de Physique Théorique and Centre for Astroparticle Physics, 24 quai Ernest-Ansermet, CH-1211 Genève 4, Switzerland Kurki-Suonio, H. ORCID:0000-0002-4618-3063 Helsinki U. Helsinki Inst. of Phys. Department of Physics, P.O. Box 64, 00014 University of Helsinki, Finland Helsinki Institute of Physics, Gustaf Hällströmin katu 2, University of Helsinki, Helsinki, Finland Le Mignant, D. ORCID:0000-0002-5339-5515 Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Ligori, S. ORCID:0000-0003-4172-4606 Turin Observ. INAF-Osservatorio Astrofisico di Torino, Via Osservatorio 20, 10025 Pino Torinese Lilje, P.B. ORCID:0000-0003-4324-7794 Oslo U. Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, 0315 Oslo, Norway Lindholm, V. ORCID:0000-0003-2317-5471 Helsinki U. Helsinki Inst. of Phys. Department of Physics, P.O. Box 64, 00014 University of Helsinki, Finland Helsinki Institute of Physics, Gustaf Hällströmin katu 2, University of Helsinki, Helsinki, Finland Lloro, I. ASTRON, Dwingeloo NOVA optical infrared instrumentation group at ASTRON,Oude Hoogeveensedijk 4,7991PD,Dwingeloo,The Netherlands Mainetti, G. CC, Villeurbanne Centre de Calcul de l'IN2P3/CNRS, 21 avenue Pierre de Coubertin 69627 Villeurbanne Cedex, France Maiorano, E. ORCID:0000-0003-2593-4355 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Mansutti, O. ORCID:0000-0001-5758-4658 Trieste Observ. INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Marcin, S. Unlisted, CH University of Applied Sciences and Arts of Northwestern Switzerland, School of Engineering, 5210 Windisch, Switzerland Marggraf, O. ORCID:0000-0001-7242-3852 Argelander Inst. Astron. Universität Bonn, Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany Markovic, K. ORCID:0000-0001-6764-073X Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA Martinelli, M. ORCID:0000-0002-6943-7732 Rome Observ. Rome U. INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy INFN-Sezione di Roma, Piazzale Aldo Moro, 2 - c/o Dipartimento di Fisica, Edificio G. Marconi, 00185 Roma, Italy Martinet, N. ORCID:0000-0003-2786-7790 Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Marulli, F. ORCID:0000-0002-8850-0303 U. Bologna, DIFA Bologna Observ. INFN, Bologna Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, via Piero Gobetti 93/2, 40129 Bologna, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Massey, R. ORCID:0000-0002-6085-3780 Durham U. Department of Physics, Centre for Extragalactic Astronomy, Durham University, South Road, DH1 3LE, UK Maurogordato, S. OCA, Nice, Lab. Lagrange Université Côte d'Azur, Observatoire de la Côte d'Azur, CNRS, Laboratoire Lagrange, Bd de l'Observatoire, CS 34229, 06304 Nice cedex 4, France McCracken, H.J. ORCID:0000-0002-9489-7765 Paris, Inst. Astrophys. Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France Mei, S. ORCID:0000-0002-2849-559X APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, 75013 Paris, France Melchior, M. Unlisted, CH University of Applied Sciences and Arts of Northwestern Switzerland, School of Engineering, 5210 Windisch, Switzerland Mellier, Y. Paris U. VI, GRECO Paris, Inst. Astrophys. Institut d'Astrophysique de Paris, 98bis Boulevard Arago, 75014, Paris, France Institut d'Astrophysique de Paris, UMR 7095, CNRS, and Sorbonne Université, 98 bis boulevard Arago, 75014 Paris, France Meneghetti, M. ORCID:0000-0003-1225-7084 Bologna Observ. INFN, Bologna INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Merlin, E. ORCID:0000-0001-6870-8900 Rome Observ. INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Meylan, G. LASTRO Observ. Institute of Physics, Laboratory of Astrophysics, Ecole Polytechnique Fédérale de Lausanne Mohr, J.J. ORCID:0000-0002-6875-2087 Munich U. Garching, Max Planck Inst., MPE Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Moresco, M. ORCID:0000-0002-7616-7136 U. Bologna, DIFA Bologna Observ. Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, via Piero Gobetti 93/2, 40129 Bologna, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Morris, P.W. ORCID:0000-0002-5186-4381 Caltech California institute of Technology, 1200 E California Blvd, Pasadena, CA 91125, USA Moscardini, L. ORCID:0000-0002-3473-6716 U. Bologna, DIFA Bologna Observ. INFN, Bologna Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, via Piero Gobetti 93/2, 40129 Bologna, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Munari, E. ORCID:0000-0002-1751-5946 Trieste Observ. SISSA, Trieste IFPU, Trieste INFN, Trieste INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy Nakajima, R. Argelander Inst. Astron. Universität Bonn, Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany Neissner, C. ORCID:0000-0001-8524-4968 Barcelona, IFAE Institut de Física d'Altes Energies Port d'Informació Científica, Campus UAB, C. Albareda s/n, 08193 Bellaterra Nichol, R.C. U. Surrey (main) School of Mathematics and Physics, University of Surrey, Guildford, Surrey, GU2 7XH, UK Niemi, S.-M. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Nightingale, J.W. ORCID:0000-0002-8987-7401 Newcastle U., United Kingdom Durham U., ICC School of Mathematics, Statistics and Physics, Newcastle University, Herschel Building, Newcastle-upon-Tyne, NE1 7RU, UK Department of Physics, Institute for Computational Cosmology, Durham University, South Road, DH1 3LE, UK Padilla, C. ORCID:0000-0001-7951-0166 Barcelona, IFAE Institut de Física d'Altes Energies Paech, K. ORCID:0000-0003-0625-2367 Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Paltani, S. ORCID:0000-0002-8108-9179 U. Geneva (main) Department of Astronomy, University of Geneva, ch. d'Ecogia 16, 1290 Versoix, Switzerland Pasian, F. ORCID:0000-0002-4869-3227 Trieste Observ. INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Pedersen, K. Aarhus U. Department of Physics and Astronomy, University of Aarhus, Ny Munkegade 120, DK-8000 Aarhus C, Denmark Percival, W.J. ORCID:0000-0002-0644-5727 Waterloo U., Math. Dept. Waterloo U. Perimeter Inst. Theor. Phys. Waterloo Centre for Astrophysics, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada Perimeter Institute for Theoretical Physics, Waterloo, Ontario N2L 2Y5, Canada Pettorino, V. ESTEC, Noordwijk European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Pires, S. ORCID:0000-0002-0249-2104 AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Polenta, G. ORCID:0000-0003-4067-9196 ASI, Rome Space Science Data Center, Italian Space Agency, via del Politecnico snc, 00133 Roma, Italy Poncet, M. CNES, Toulouse Centre National d'Etudes Spatiales -- Centre spatial de Toulouse, 18 avenue Edouard Belin, 31401 Toulouse Cedex 9, France Popa, L.A. Bucharest, Inst. Space Science Institute of Space Science, Str. Atomistilor, nr. 409 Măgurele, Ilfov, 077125, Romania Raison, F. ORCID:0000-0002-7819-6918 Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Rebolo, R. IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias, Calle Vía Láctea s/n, 38204, San Cristóbal de La Laguna, Tenerife, Spain Departamento de Astrofísica, Universidad de La Laguna, 38206, La Laguna, Tenerife, Spain Renzi, A. ORCID:0000-0001-9856-1970 INFN, Padua Padua U. Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Rhodes, J. Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA Riccio, G. Capodimonte Observ. INAF-Osservatorio Astronomico di Capodimonte, Via Moiariello 16, 80131 Napoli, Italy Romelli, E. ORCID:0000-0003-3069-9222 Trieste Observ. INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Roncarelli, M. ORCID:0000-0001-9587-7822 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Rossetti, E. U. Bologna, DIFA Dipartimento di Fisica e Astronomia, Università di Bologna, Via Gobetti 93/2, 40129 Bologna, Italy Rusholme, B. ORCID:0000-0001-7648-4142 Caltech Caltech/IPAC, 1200 E. California Blvd., Pasadena, CA 91125, USA Saglia, R. ORCID:0000-0003-0378-7032 Munich U. Garching, Max Planck Inst., MPE Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Sakr, Z. ORCID:0000-0002-4823-3757 Heidelberg U. IRAP, Toulouse USJ, Beirut Institut für Theoretische Physik, University of Heidelberg, Philosophenweg 16, 69120 Heidelberg, Germany Institut de Recherche en Astrophysique et Planétologie Université St Joseph, Faculty of Sciences, Beirut, Lebanon Sánchez, A.G. ORCID:0000-0003-1198-831X Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Sapone, D. ORCID:0000-0001-7089-4503 Chile U., Beauchef Departamento de Física, FCFM, Universidad de Chile, Blanco Encalada 2008, Santiago, Chile Sartoris, B. ORCID:0000-0003-1337-5269 Munich U. Trieste Observ. Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Sauvage, M. ORCID:0000-0002-0809-2574 AIM, Saclay Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France Schewtschenko, J.A. Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Schneider, P. ORCID:0000-0001-8561-2679 Argelander Inst. Astron. Universität Bonn, Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany Schrabback, T. ORCID:0000-0002-6987-7834 Innsbruck U. Universität Innsbruck, Institut für Astro- und Teilchenphysik, Technikerstr. 25/8, 6020 Innsbruck, Austria Sefusatti, E. ORCID:0000-0003-0473-1567 Trieste Observ. SISSA, Trieste IFPU, Trieste INFN, Trieste INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy Seidel, G. ORCID:0000-0003-2907-353X Heidelberg, Max Planck Inst. Astron. Max-Planck-Institut für Astronomie, Königstuhl 17, 69117 Heidelberg, Germany Serrano, S. ORCID:0000-0002-0211-2861 Barcelona, IEEC IKERBASQUE, Bilbao Institut d'Estudis Espacials de Catalunya Institute of Space Sciences Satlantis, University Science Park, Sede Bld 48940, Leioa-Bilbao, Spain Sirignano, C. ORCID:0000-0002-0995-7146 INFN, Padua Padua U. Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Sirri, G. ORCID:0000-0003-2626-2853 INFN, Bologna INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Smadja, G. IP2I, Lyon Université Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, F-69100, France Stanco, L. ORCID:0000-0002-9706-5104 INFN, Padua INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Steinwagner, J. Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Tallada-Crespí, P. ORCID:0000-0002-1336-8328 Madrid, CIEMAT Barcelona, IFAE Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas Port d'Informació Científica, Campus UAB, C. Albareda s/n, 08193 Bellaterra Tavagnacco, D. ORCID:0000-0001-7475-9894 Trieste Observ. INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Taylor, A.N. Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Teplitz, H.I. ORCID:0000-0002-7064-5424 Caltech Infrared Processing and Analysis Center, California Institute of Technology, Pasadena, CA 91125, USA Tereno, I. Lisbon U. Lisbon Astron. Observ. Departamento de Física, Faculdade de Ciências, Universidade de Lisboa, Edifício C8, Campo Grande, PT1749-016 Lisboa, Portugal Instituto de Astrofísica e Ciências do Espaço, Faculdade de Ciências, Universidade de Lisboa, Tapada da Ajuda, 1349-018 Lisboa, Portugal Torradeflot, F. ORCID:0000-0003-1160-1517 Barcelona, IFAE Madrid, CIEMAT Port d'Informació Científica, Campus UAB, C. Albareda s/n, 08193 Bellaterra Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas Tutusaus, I. ORCID:0000-0002-3199-0399 IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie Valenziano, L. ORCID:0000-0002-1170-0104 Bologna Observ. INFN, Bologna INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy INFN-Bologna, Via Irnerio 46, 40126 Bologna, Italy Vassallo, T. ORCID:0000-0001-6512-6358 Munich U. Trieste Observ. Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Veropalumbo, A. ORCID:0000-0003-2387-1194 Brera Observ. MIT, Cambridge, Dept. Phys. INFN, Genoa INAF-Osservatorio Astronomico di Brera, Via Brera 28, 20122 Milano, Italy INFN-Sezione di Genova, Via Dodecaneso 33, 16146, Genova, Italy Wang, Y. ORCID:0000-0002-4749-2984 Caltech Infrared Processing and Analysis Center, California Institute of Technology, Pasadena, CA 91125, USA Weller, J. ORCID:0000-0002-8282-2010 Munich U. Garching, Max Planck Inst., MPE Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Zacchei, A. ORCID:0000-0003-0396-1192 Trieste Observ. SISSA, Trieste IFPU, Trieste INFN, Trieste INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy Zamorani, G. ORCID:0000-0002-2318-301X Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Zerbi, F.M. Brera Observ. INAF-Osservatorio Astronomico di Brera, Via Brera 28, 20122 Milano, Italy Zucca, E. ORCID:0000-0002-5845-8132 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Biviano, A. ORCID:0000-0002-0857-0732 Trieste Observ. SISSA, Trieste IFPU, Trieste INFN, Trieste INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy Bolzonella, M. ORCID:0000-0003-3278-4607 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Boucaud, A. ORCID:0000-0001-7387-2633 APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, 75013 Paris, France Bozzo, E. ORCID:0000-0002-8201-1525 U. Geneva (main) Department of Astronomy, University of Geneva, ch. d'Ecogia 16, 1290 Versoix, Switzerland Burigana, C. ORCID:0000-0002-3005-5796 Bologna, Ist. Radioastronomia INFN, Bologna INAF, Istituto di Radioastronomia, Via Piero Gobetti 101, 40129 Bologna, Italy INFN-Bologna, Via Irnerio 46, 40126 Bologna, Italy Calabrese, M. ORCID:0000-0002-2637-2422 UTRGV IASF, Milan Astronomical Observatory of the Autonomous Region of the Aosta Valley INAF-IASF Milano, Via Alfonso Corti 12, 20133 Milano, Italy Di Ferdinando, D. INFN, Bologna INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Vigo, J.A. Escartin Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Farinelli, R. Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Gracia-Carpio, J. Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Kazandjian, M.V. Leiden Observ. American U. of Beirut Leiden Observatory, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands Center For Advanced Mathematical Sciences, American University of Beirut PO Box 11-0236, Riad El-Solh, Beirut 11097 2020, Lebanon Mauri, N. ORCID:0000-0001-8196-1548 Bologna U. INFN, Bologna Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Scottez, V. Paris U. VI, GRECO Lille 2 U. Institut d'Astrophysique de Paris, 98bis Boulevard Arago, 75014, Paris, France Junia, EPA department, 41 Bd Vauban, 59800 Lille, France Tenti, M. ORCID:0000-0002-4254-5901 INFN, Bologna INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Viel, M. ORCID:0000-0002-2642-5707 SISSA, Trieste IFPU, Trieste INFN, Trieste Trieste Observ. Salento U. IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy SISSA, International School for Advanced Studies, Via Bonomea 265, 34136 Trieste TS, Italy INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy ICSC - Centro Nazionale di Ricerca in High Performance Computing, Big Data e Quantum Computing, Via Magnanelli 2, Bologna, Italy Wiesmann, M. ORCID:0009-0000-8199-5860 Oslo U. Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, 0315 Oslo, Norway Akrami, Y. ORCID:0000-0002-2407-7956 Madrid, IFT Case Western Reserve U. Instituto de Física Teórica UAM-CSIC, Campus de Cantoblanco, 28049 Madrid, Spain CERCA/ISO, Department of Physics, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA Allevato, V. ORCID:0000-0001-7232-5152 Capodimonte Observ. INAF-Osservatorio Astronomico di Capodimonte, Via Moiariello 16, 80131 Napoli, Italy Anselmi, S. ORCID:0000-0002-3579-9583 INFN, Padua Padua U. LUTH, Meudon INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy Laboratoire Univers et Théorie, Observatoire de Paris, Université PSL, Université Paris Cité, CNRS, 92190 Meudon, France Aubourg, E. ORCID:0000-0002-5592-023X APC, Paris IRFU, Saclay Université Paris Cité, CNRS, Astroparticule et Cosmologie, 75013 Paris, France IRFU, CEA, Université Paris-Saclay 91191 Gif-sur-Yvette Cedex, France Ballardini, M. ORCID:0000-0003-4481-3559 Ferrara U. Bologna Observ. INFN, Ferrara Dipartimento di Fisica e Scienze della Terra, Università degli Studi di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Istituto Nazionale di Fisica Nucleare, Sezione di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy Bethermin, M. ORCID:0000-0002-3915-2015 Strasbourg Observ. Marseille, Lab. Astrophys. Université de Strasbourg, CNRS, Observatoire astronomique de Strasbourg, UMR 7550, 67000 Strasbourg, France Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Blanchard, A. ORCID:0000-0001-8555-9003 IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie Blot, L. ORCID:0000-0002-9622-7167 Tokyo U., IPMU LUTH, Meudon Kavli Institute for the Physics and Mathematics of the Universe Laboratoire Univers et Théorie, Observatoire de Paris, Université PSL, Université Paris Cité, CNRS, 92190 Meudon, France Borgani, S. ORCID:0000-0001-6151-6439 Trieste U. SISSA, Trieste IFPU, Trieste INFN, Trieste Trieste Observ. Dipartimento di Fisica - Sezione di Astronomia, Università di Trieste, Via Tiepolo 11, 34131 Trieste, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy Borlaff, A.S. ORCID:0000-0003-3249-4431 NASA, Ames NASA Ames Research Center, Moffett Field, CA 94035, USA Bay Area Environmental Research Institute, Moffett Field, California 94035, USA Borsato, E. INFN, Padua Padua U. Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Bruton, S. ORCID:0000-0002-6503-5218 Minnesota U. Minnesota Institute for Astrophysics, University of Minnesota, 116 Church St SE, Minneapolis, MN 55455, USA Cabanac, R. ORCID:0000-0001-6679-2600 IRAP, Toulouse Institut de Recherche en Astrophysique et Planétologie Calabro, A. ORCID:0000-0003-2536-1614 Rome Observ. INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Canas-Herrera, G. ORCID:0000-0003-2796-2149 ESTEC, Noordwijk Leiden U. European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands Institute Lorentz, Leiden University, Niels Bohrweg 2, 2333 CA Leiden, The Netherlands Cappi, A. Bologna Observ. OCA, Nice, Lab. Lagrange INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Université Côte d'Azur, Observatoire de la Côte d'Azur, CNRS, Laboratoire Lagrange, Bd de l'Observatoire, CS 34229, 06304 Nice cedex 4, France Carvalho, C.S. Lisbon Astron. Observ. Instituto de Astrofísica e Ciências do Espaço, Faculdade de Ciências, Universidade de Lisboa, Tapada da Ajuda, 1349-018 Lisboa, Portugal Casenove, P. CNES, Toulouse Centre National d'Etudes Spatiales -- Centre spatial de Toulouse, 18 avenue Edouard Belin, 31401 Toulouse Cedex 9, France Castro, T. ORCID:0000-0002-6292-3228 Trieste Observ. INFN, Trieste SISSA, Trieste IFPU, Trieste Salento U. INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy ICSC - Centro Nazionale di Ricerca in High Performance Computing, Big Data e Quantum Computing, Via Magnanelli 2, Bologna, Italy Chambers, K.C. ORCID:0000-0001-6965-7789 Inst. Astron., Honolulu Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822, USA Charles, Y. Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Contarini, S. ORCID:0000-0002-9843-723X Garching, Max Planck Inst., MPE U. Bologna, DIFA Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, via Piero Gobetti 93/2, 40129 Bologna, Italy Cooray, A.R. ORCID:0000-0002-3892-0190 UC, Irvine Department of Physics \& Astronomy, University of California Irvine, Irvine CA 92697, USA Cucciati, O. ORCID:0000-0002-9336-7551 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Davini, S. ORCID:0000-0003-3269-1718 MIT, Cambridge, Dept. Phys. INFN, Genoa INFN-Sezione di Genova, Via Dodecaneso 33, 16146, Genova, Italy De Caro, B. INFN, Padua Padua U. INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy de la Torre, S. Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Desprez, G. St. Mary's U., Halifax Department of Astronomy \& Physics and Institute for Computational Astrophysics, Saint Mary's University, 923 Robie Street, Halifax, Nova Scotia, B3H 3C3, Canada Díaz-Sánchez, A. ORCID:0000-0003-0748-4768 Cartagena Politecnica U. Departamento Física Aplicada, Universidad Politécnica de Cartagena, Campus Muralla del Mar, 30202 Cartagena, Murcia, Spain Diaz, J.J. Laguna U., Tenerife Instituto de Astrofísica de Canarias Di Domizio, S. ORCID:0000-0003-2863-5895 Genoa U. MIT, Cambridge, Dept. Phys. INFN, Genoa Dipartimento di Fisica, Università di Genova, Via Dodecaneso 33, 16146, Genova, Italy INFN-Sezione di Genova, Via Dodecaneso 33, 16146, Genova, Italy Dole, H. ORCID:0000-0002-9767-3839 Orsay, IAS Université Paris-Saclay, CNRS, Institut d'astrophysique spatiale, 91405, Orsay, France Escoffier, S. ORCID:0000-0002-2847-7498 Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Ferrari, A.G. ORCID:0009-0005-5266-4110 Bologna U. INFN, Bologna Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Ferreira, P.G. ORCID:0000-0002-3021-2851 Oxford U. Department of Physics, Oxford University, Keble Road, Oxford OX1 3RH, UK Ferrero, I. ORCID:0000-0002-1295-1132 Oslo U. Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, 0315 Oslo, Norway Finelli, F. ORCID:0000-0002-6694-3269 Bologna Observ. INFN, Bologna INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy INFN-Bologna, Via Irnerio 46, 40126 Bologna, Italy Fontana, A. ORCID:0000-0003-3820-2823 Rome Observ. INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Fornari, F. ORCID:0000-0003-2979-6738 INFN, Bologna INFN-Bologna, Via Irnerio 46, 40126 Bologna, Italy Gabarra, L. ORCID:0000-0002-8486-8856 Oxford U. Department of Physics, Oxford University, Keble Road, Oxford OX1 3RH, UK Ganga, K. ORCID:0000-0001-8159-8208 APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, 75013 Paris, France García-Bellido, J. ORCID:0000-0002-9370-8360 Madrid, IFT Instituto de Física Teórica UAM-CSIC, Campus de Cantoblanco, 28049 Madrid, Spain Gaztanaga, E. ORCID:0000-0001-9632-0815 Barcelona, IEEC Portsmouth U., ICG Institute of Space Sciences Institut d'Estudis Espacials de Catalunya Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK Giacomini, F. ORCID:0000-0002-3129-2814 INFN, Bologna INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Gozaliasl, G. ORCID:0000-0002-0236-919X Aalto U. Helsinki U. Department of Computer Science, Aalto University, PO Box 15400, Espoo, FI-00 076, Finland Department of Physics, P.O. Box 64, 00014 University of Helsinki, Finland Hall, A. ORCID:0000-0002-3139-8651 Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Hartley, W.G. U. Geneva (main) Department of Astronomy, University of Geneva, ch. d'Ecogia 16, 1290 Versoix, Switzerland Hildebrandt, H. ORCID:0000-0002-9814-3338 Ruhr U., Bochum Ruhr University Bochum, Faculty of Physics and Astronomy, Astronomical Institute Hjorth, J. ORCID:0000-0002-4571-2306 DARK Cosmology Ctr. Bohr Inst. DARK, Niels Bohr Institute, University of Copenhagen, Jagtvej 155, 2200 Copenhagen, Denmark Huertas-Company, M. ORCID:0000-0002-1416-8483 IAC, La Laguna Laguna U., Tenerife LERMA, Ivry Diderot U., Paris Instituto de Astrofísica de Canarias, Calle Vía Láctea s/n, 38204, San Cristóbal de La Laguna, Tenerife, Spain Instituto de Astrofísica de Canarias Université PSL, Observatoire de Paris, Sorbonne Université, CNRS, LERMA, 75014, Paris, France Université Paris-Cité, 5 Rue Thomas Mann, 75013, Paris, France Ilbert, O. ORCID:0000-0002-7303-4397 Marseille, Lab. Astrophys. Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France Jacobson, J. Caltech Caltech/IPAC, 1200 E. California Blvd., Pasadena, CA 91125, USA Muñoz, A. Jimenez ORCID:0009-0004-5252-185X LPSC, Grenoble Univ. Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 53, Avenue des Martyrs, 38000, Grenoble, France Joudaki, S. ORCID:0000-0001-8820-673X Portsmouth U., ICG Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK Kajava, J.J.E. ORCID:0000-0002-3010-8333 Turku U. ESA, Madrid Department of Physics and Astronomy, Vesilinnantie 5, 20014 University of Turku, Finland Serco for European Space Agency Kansal, V. ORCID:0000-0002-4008-6078 ARC, CoEDMPP, Australia Swinburne U. Tech., Hawthorn ARC Centre of Excellence for Dark Matter Particle Physics, Melbourne, Australia Centre for Astrophysics \& Supercomputing, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia Karagiannis, D. ORCID:0000-0002-4927-0816 Queen Mary, U. of London (main) Western Cape U. School of Physics and Astronomy, Queen Mary University of London, Mile End Road, London E1 4NS, UK Department of Physics and Astronomy, University of the Western Cape, Bellville, Cape Town, 7535, South Africa Kirkpatrick, C.C. Helsinki Inst. of Phys. Department of Physics and Helsinki Institute of Physics, Gustaf Hällströmin katu 2, 00014 University of Helsinki, Finland Laudisio, F. INFN, Padua INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Legrand, L. ORCID:0000-0003-0610-5252 Sao Paulo, IFT ICTP South American Institute for Fundamental Research, Instituto de Física Teórica, Universidade Estadual Paulista, São Paulo, Brazil Libet, G. CNES, Toulouse Centre National d'Etudes Spatiales -- Centre spatial de Toulouse, 18 avenue Edouard Belin, 31401 Toulouse Cedex 9, France Loureiro, A. ORCID:0000-0002-4371-0876 Stockholm U., OKC Imperial Coll., London Oskar Klein Centre for Cosmoparticle Physics, Department of Physics, Stockholm University, Stockholm, SE-106 91, Sweden Maggio, G. ORCID:0000-0003-4020-4836 Trieste Observ. INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Magliocchetti, M. ORCID:0000-0001-9158-4838 INAF, IAPS, Rome INAF-Istituto di Astrofisica e Planetologia Spaziali, via del Fosso del Cavaliere, 100, 00100 Roma, Italy Mancini, C. ORCID:0000-0002-4297-0561 IASF, Milan INAF-IASF Milano, Via Alfonso Corti 12, 20133 Milano, Italy Mannucci, F. ORCID:0000-0002-4803-2381 Arcetri Observ. INAF-Osservatorio Astrofisico di Arcetri, Largo E. Fermi 5, 50125, Firenze, Italy Maoli, R. ORCID:0000-0002-6065-3025 Rome U. Rome Observ. Dipartimento di Fisica, Sapienza Università di Roma, Piazzale Aldo Moro 2, 00185 Roma, Italy INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Martins, C.J.A.P. ORCID:0000-0002-4886-9261 Porto U., Astron. Dept. Porto U. Centro de Astrofísica da Universidade do Porto, Rua das Estrelas, 4150-762 Porto, Portugal Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto, CAUP, Rua das Estrelas, PT4150-762 Porto, Portugal Matthew, S. Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Maurin, L. ORCID:0000-0002-8406-0857 Orsay, IAS Université Paris-Saclay, CNRS, Institut d'astrophysique spatiale, 91405, Orsay, France Metcalf, R.B. ORCID:0000-0003-3167-2574 U. Bologna, DIFA Bologna Observ. Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Università di Bologna, via Piero Gobetti 93/2, 40129 Bologna, Italy INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Miluzio, M. ESA, Madrid ESAC/ESA, Camino Bajo del Castillo, s/n., Urb. Villafranca del Castillo, 28692 Villanueva de la Cañada, Madrid, Spain HE Space for European Space Agency Moretti, C. ORCID:0000-0003-3314-8936 SISSA, Trieste Salento U. Trieste Observ. IFPU, Trieste INFN, Trieste SISSA, International School for Advanced Studies, Via Bonomea 265, 34136 Trieste TS, Italy ICSC - Centro Nazionale di Ricerca in High Performance Computing, Big Data e Quantum Computing, Via Magnanelli 2, Bologna, Italy INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy Nadathur, S. ORCID:0000-0001-9070-3102 Portsmouth U., ICG Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK Walton, Nicholas A. ORCID:0000-0003-3983-8778 Cambridge U., Inst. of Astron. Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK Patrizii, L. INFN, Bologna INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Pezzotta, A. ORCID:0000-0003-0726-2268 Garching, Max Planck Inst., MPE Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany Pöntinen, M. ORCID:0000-0001-5442-2530 Helsinki U. Department of Physics, P.O. Box 64, 00014 University of Helsinki, Finland Popa, V. Bucharest, Inst. Space Science Institute of Space Science, Str. Atomistilor, nr. 409 Măgurele, Ilfov, 077125, Romania Porciani, C. ORCID:0000-0002-7797-2508 Argelander Inst. Astron. Universität Bonn, Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany Potter, D. ORCID:0000-0002-0757-5195 Zurich U. Department of Astrophysics, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland Risso, I. ORCID:0000-0003-2525-7761 Genoa U. INFN, Genoa Dipartimento di Fisica, Università degli studi di Genova, and INFN-Sezione di Genova, via Dodecaneso 33, 16146, Genova, Italy Rocci, P.-F. Orsay, IAS Université Paris-Saclay, CNRS, Institut d'astrophysique spatiale, 91405, Orsay, France Rollins, R.P. ORCID:0000-0003-1291-1023 Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Sahlén, M. ORCID:0000-0003-0973-4804 Uppsala U. (main) Uppsala U. Unlisted, SE Theoretical astrophysics, Department of Physics and Astronomy, Uppsala University, Box 515, 751 20 Uppsala, Sweden Scarlata, C. ORCID:0000-0002-9136-8876 Minnesota U. Minnesota Institute for Astrophysics, University of Minnesota, 116 Church St SE, Minneapolis, MN 55455, USA Schneider, A. ORCID:0000-0001-7055-8104 Zurich U. Department of Astrophysics, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland Schultheis, M. OCA, Nice, Lab. Lagrange Université Côte d'Azur, Observatoire de la Côte d'Azur, CNRS, Laboratoire Lagrange, Bd de l'Observatoire, CS 34229, 06304 Nice cedex 4, France Sereno, M. ORCID:0000-0003-0302-0325 Bologna Observ. INFN, Bologna INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Shulevski, A. ORCID:0000-0002-1827-0469 ASTRON, Dwingeloo Kapteyn Astron. Inst., Groningen U. Amsterdam, GRAPPA ASTRON, the Netherlands Institute for Radio Astronomy, Postbus 2, 7990 AA, Dwingeloo, The Netherlands Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands Anton Pannekoek Institute for Astronomy, University of Amsterdam, Postbus 94249, 1090 GE Amsterdam, The Netherlands Silvestri, A. ORCID:0000-0001-6904-5061 Leiden U. Institute Lorentz, Leiden University, Niels Bohrweg 2, 2333 CA Leiden, The Netherlands Simon, P. Argelander Inst. Astron. Universität Bonn, Argelander-Institut für Astronomie, Auf dem Hügel 71, 53121 Bonn, Germany Spurio Mancini, A. ORCID:0000-0001-5698-0990 Royal Holloway, U. of London Mullard Space Sci. Lab. Department of Physics, Royal Holloway, University of London, TW20 0EX, UK Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK Stadel, J. ORCID:0000-0001-7565-8622 Zurich U. Department of Astrophysics, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland Tao, C. ORCID:0000-0001-7961-8177 Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Testera, G. MIT, Cambridge, Dept. Phys. INFN, Genoa INFN-Sezione di Genova, Via Dodecaneso 33, 16146, Genova, Italy Teyssier, R. ORCID:0000-0001-7689-0933 Princeton U., Astrophys. Sci. Dept. Department of Astrophysical Sciences, Peyton Hall, Princeton University, Princeton, NJ 08544, USA Toft, S. ORCID:0000-0003-3631-7176 Bohr Inst. Cosmic Dawn Center Niels Bohr Institute, University of Copenhagen, Jagtvej 128, 2200 Copenhagen, Denmark Tosi, S. ORCID:0000-0002-7275-9193 Genoa U. MIT, Cambridge, Dept. Phys. INFN, Genoa Brera Observ. Dipartimento di Fisica, Università di Genova, Via Dodecaneso 33, 16146, Genova, Italy INFN-Sezione di Genova, Via Dodecaneso 33, 16146, Genova, Italy INAF-Osservatorio Astronomico di Brera, Via Brera 28, 20122 Milano, Italy Troja, A. ORCID:0000-0003-0239-4595 INFN, Padua Padua U. Dipartimento di Fisica e Astronomia "G. Galilei", Università di Padova, Via Marzolo 8, 35131 Padova, Italy INFN-Padova, Via Marzolo 8, 35131 Padova, Italy Tucci, M. U. Geneva (main) Department of Astronomy, University of Geneva, ch. d'Ecogia 16, 1290 Versoix, Switzerland Valieri, C. INFN, Bologna INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy Valiviita, J. ORCID:0000-0001-6225-3693 Helsinki U. Helsinki Inst. of Phys. Department of Physics, P.O. Box 64, 00014 University of Helsinki, Finland Helsinki Institute of Physics, Gustaf Hällströmin katu 2, University of Helsinki, Helsinki, Finland Vergani, D. ORCID:0000-0003-0898-2216 Bologna Observ. INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy Verza, G. ORCID:0000-0002-1886-8348 New York U., CCPP Center for Cosmology and Particle Physics, Department of Physics, New York University, New York, NY 10003, USA Center for Computational Astrophysics, Flatiron Institute, 162 5th Avenue, 10010, New York, NY, USA Zalesky, L. ORCID:0000-0001-5680-2326 Inst. Astron., Honolulu Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822, USA Archidiacono, M. ORCID:0000-0003-4952-9012 Milan U. INFN, Milan Dipartimento di Fisica "Aldo Pontremoli", Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy INFN-Sezione di Milano, Via Celoria 16, 20133 Milano, Italy Atrio-Barandela, F. ORCID:0000-0002-2130-2513 Salamanca U., IUFFyM Departamento de Física Fundamental. Universidad de Salamanca. Plaza de la Merced s/n. 37008 Salamanca, Spain Bouvard, T. ORCID:0009-0002-7959-312X Unlisted, FR Thales~Services~S.A.S., 290 Allée du Lac, 31670 Labège, France Caro, F. Rome Observ. INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Dimauro, P. ORCID:0000-0001-7399-2854 Rome Observ. Rio de Janeiro Observ. INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Observatorio Nacional, Rua General Jose Cristino, 77-Bairro Imperial de Sao Cristovao, Rio de Janeiro, 20921-400, Brazil Fang, Y. Munich U. Universitäts-Sternwarte München, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstrasse 1, 81679 München, Germany Ferguson, A.M.N. Edinburgh U., Inst. Astron. Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK Finoguenov, A. ORCID:0000-0002-4606-5403 Helsinki U. Department of Physics, P.O. Box 64, 00014 University of Helsinki, Finland Gasparetto, T. ORCID:0000-0002-7913-4866 Trieste Observ. INAF-Osservatorio Astronomico di Trieste, Via G. B. Tiepolo 11, 34143 Trieste, Italy Le Brun, A.M.C. ORCID:0000-0002-0936-4594 LUTH, Meudon Laboratoire Univers et Théorie, Observatoire de Paris, Université PSL, Université Paris Cité, CNRS, 92190 Meudon, France Le Graet, J. ORCID:0000-0001-6523-7971 Marseille, CPPM Aix-Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Liaudat, T.I. ORCID:0000-0002-9104-314X IRFU, Saclay IRFU, CEA, Université Paris-Saclay 91191 Gif-sur-Yvette Cedex, France Montoro, A. ORCID:0000-0003-4730-8590 Barcelona, IEEC Institute of Space Sciences Institut d'Estudis Espacials de Catalunya Murray, C. APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, 75013 Paris, France Oguri, M. ORCID:0000-0003-3484-399X Chiba U. Center for Frontier Science, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba 263-8522, Japan Department of Physics, Graduate School of Science, Chiba University, 1-33 Yayoi-Cho, Inage-Ku, Chiba 263-8522, Japan Pagano, L. ORCID:0000-0003-1820-5998 Ferrara U. INFN, Ferrara Dipartimento di Fisica e Scienze della Terra, Università degli Studi di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy Istituto Nazionale di Fisica Nucleare, Sezione di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy Paoletti, D. ORCID:0000-0003-4761-6147 Bologna Observ. INFN, Bologna INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy INFN-Bologna, Via Irnerio 46, 40126 Bologna, Italy Sarpa, E. ORCID:0000-0002-1256-655X SISSA, Trieste Salento U. INFN, Trieste SISSA, International School for Advanced Studies, Via Bonomea 265, 34136 Trieste TS, Italy ICSC - Centro Nazionale di Ricerca in High Performance Computing, Big Data e Quantum Computing, Via Magnanelli 2, Bologna, Italy INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy Tanidis, K. Oxford U. Department of Physics, Oxford University, Keble Road, Oxford OX1 3RH, UK Vernizzi, F. ORCID:0000-0003-3426-2802 IPhT, Saclay Institut de Physique Théorique, CEA, CNRS, Université Paris-Saclay 91191 Gif-sur-Yvette Cedex, France Viitanen, A. ORCID:0000-0001-9383-786X Helsinki Inst. of Phys. Rome Observ. Department of Physics and Helsinki Institute of Physics, Gustaf Hällströmin katu 2, 00014 University of Helsinki, Finland INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy Kovačić, I. ORCID:0000-0001-6751-3263 U. Gent (main) Sterrenkundig Observatorium, Universiteit Gent, Krijgslaan 281 S9, 9000 Gent, Belgium Lesgourgues, J. ORCID:0000-0001-7627-353X Unlisted, GE Institute for Theoretical Particle Physics and Cosmology Martín-Fleitas, J. ORCID:0000-0002-8594-569X ESA, Madrid Aurora Technology for European Space Agency Mora, A. ORCID:0000-0002-1922-8529 ESA, Madrid Aurora Technology for European Space Agency Euclid Collaboration A4 publication Astron. Astrophys. 697 A&A 697, A4 (2025) 2025 2532040 9052 http://cds.cern.ch/record/2898601/files/infield_outfield_illumination2.png 00005 NI-CU in-field and out-of-field illumination. {\em Left:} Reconstructed NI-CU EQM illumination in the focal plane using a test system without the full NISP. The fluence drops quickly outside the nominal in-field (black line) until it is close to zero 25\,mm further out (red line). The overall light emitted to outside the nominal field, when integrated out to the dashed line, is substantially below the requirement of 10\% of the total in-field light. {\em Right:} Closeup on the radial sharp transition in relative flux density at the edge of the nominal NI-CU illuminated field, here independently measured for the NI-CU VM -- the approximate edge of the nominal NISP FPA in-field is marked by the vertical line. This indicates a functioning baffling approach and creates a very low amount of straylight inside the NISP cavity from light falling outside the target FPA area. 2532041 2033095 http://cds.cern.ch/record/2898601/files/LED_vHS_annotated_1400.png 00001 Closeup of finished LED: wire-bonded semiconductor die (centre), inside gold-coated housing, behind hermetically sealed glass (image courtesy \textsl{von Hoerner \& Sulger}). 2532042 2563526 http://cds.cern.ch/record/2898601/files/NISP_FM_open3_clip_NICU2.png 00000 NISP flight model before wrapping in light-tight multi-layer insulation. The left side contains the optics with encased filter- and grism-wheel assembly, the right side the detector array and read-out electronics. The black-coated NI-CU calibration unit, mounted just next to the optics, has been outlined in blue for better visibility. 2532043 17126 http://cds.cern.ch/record/2898601/files/NICU_suppression_V3.png 00006 NI-CU in-field and out-of-field illumination. {\em Left:} Reconstructed NI-CU EQM illumination in the focal plane using a test system without the full NISP. The fluence drops quickly outside the nominal in-field (black line) until it is close to zero 25\,mm further out (red line). The overall light emitted to outside the nominal field, when integrated out to the dashed line, is substantially below the requirement of 10\% of the total in-field light. {\em Right:} Closeup on the radial sharp transition in relative flux density at the edge of the nominal NI-CU illuminated field, here independently measured for the NI-CU VM -- the approximate edge of the nominal NISP FPA in-field is marked by the vertical line. This indicates a functioning baffling approach and creates a very low amount of straylight inside the NISP cavity from light falling outside the target FPA area. 2532044 49900 http://cds.cern.ch/record/2898601/files/ledspectra_v4.png 00010 Spectra of the five NI-CU channels (lines) at operating temperature (135\,K) in comparison to the NISP instrument filter (shaded areas) and grism passbands (hatched areas). Channel A data has been extrapolated below 900\,nm.\protect\footnotemark 2532045 322771 http://cds.cern.ch/record/2898601/files/nicu_LUT_V5.png 00011 Mean LED fluence at operating temperature (135\,K) expressed in photons per second per detector pixel, as function of driving parameters current and pulse-width-modulation duty cycle (PWM). The points are measurements, the surfaces approximating parameterised functions as listed in Table~\ref{tbl:lut_data}. We note that the flux axes have different scales. 2532046 4138054 http://cds.cern.ch/record/2898601/files/NI-CU_STM_disassembled_crop.png 00007 NI-CU structural and thermal model before assembly, showing the inner structure and baffle cascade. For the flight model these components are painted with black PNC coating. 2532047 19877531 http://cds.cern.ch/record/2898601/files/2405.13494.pdf Fulltext 2532048 7757091 http://cds.cern.ch/record/2898601/files/NI-CU_EQM_wires.png 00003 View of the cable connections of the inward-pointing LEDs at the base of the NI-CU FM. The LEDs are looking inwards and are electrically connected to the harness cables via small individual printed circuit boards which provide a mechanical support against the impact of vibrations. 2532049 201923 http://cds.cern.ch/record/2898601/files/median_sub_bin7.png 00009 A fully calibrated central section of the NI-CU beam as measured for the VM, corresponding to 4900\,pixel\,$\times$\,4900\,pixels (88\,mm\,$\times$\,88\,mm), about one third of the NI-CU illuminated field. The largest variations discernible in this representation are $\sim$\,0.1\% peak-to-valley. 2532050 11705827 http://cds.cern.ch/record/2898601/files/NI-CU_FM1.png 00008 NI-CU flight model before integration into NISP. The beginning of the $\sim$680\,mm nominal and redundant harnesses are visible at the bottom left, connecting to a long harness to the warm electronics at a connector bracket on the NISP structure. Despite being located far outside NISP's optical beam, it is fully coated with black PNC. Only screws and harness remain uncoated. 2532051 111499 http://cds.cern.ch/record/2898601/files/reflector_illumination_V4.png 00004 Illustration of reaching a homogeneous illumination despite an off-centre position of NI-CU and a tilt angle between optical axis and FPA. Shown are the optical beam (green arrow), the slightly tilted FPA (yellow box), as well as NI-CU and the intensity of its illumination as colours and contours. The centre of the NI-CU emission coil is marked as a dashed line, the actual shaped beam is shown in blue. {\em Left:} Flat reflector patch; the beam centre has the same orientation as the centre of the Lambertian reflection cone and is creating a substantial gradient across the tilted FPA. {\em Right:} 30$^\circ$ tilted reflector patch; the effect of 30$^\circ$ rotation along the cosine component of the reflection cone matches the angle of NI-CU relative to the FPA, creating a near-homogeneous illumination. 2532052 280177 http://cds.cern.ch/record/2898601/files/NI-CU_CAD_views_V2.png 00002 Final NI-CU design. {\em Left:} Outer view of housing, bipod interface to NISP, and harness locations. {\em Centre:} Cross-section of the NI-CU main body with illumination-critical components. The LEDs are pointing downward, illuminating the reflector patch with tilted surface (enlarged on the right). A number of baffles inside NI-CU shapes the beam to just illuminate the detector array, while minimising straylight. 2544818 74394 http://cds.cern.ch/record/2898601/files/median_sub_bin8.png 00009 Fully calibrated 88\,mm\,$\times$\,88\,mm central section of the NI-CU beam as measured for the VM (with an LED at 660\,nm), corresponding to 4900\,pixel\,$\times$\,4900 NISP pixels, about one third of the NI-CU illuminated field. 2730054 18653537 http://cds.cern.ch/record/2898601/files/publication.pdf Fulltext 13 ARTICLE hidden 2898489 20240919221504.0 oai:cds.cern.ch:2898489 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN Inspire oai:inspirehep.net:2788881 2024-09-02T06:14:09Z 2024-09-03T02:00:10Z marcxml true https://inspirehep.net/api/oai2d eng Bacon, Roland Lyon Observ. Ctr. de Recherche Astrophysique de Lyon (France) International Society for Optics and Photonics WST - Widefield Spectroscopic Telescope: motivation, science drivers and top level requirements for a new dedicated facility 2024-08-28 2024-05-21 15 p arXiv 15 pages, 15 figures International Society for Optics and Photonics In this paper, we describe the wide-field spectroscopic survey telescope (WST) project. WST is a 12-metre wide-field spectroscopic survey telescope with simultaneous operation of a large field-of-view (3 sq. degree), high-multiplex (20,000) multi-object spectrograph (MOS), with both a low and high-resolution modes, and a giant 3&times;3 arcmin<sup>2</sup> integral field spectrograph (IFS). In scientific capability, these specifications place WST far ahead of existing and planned facilities. In only 5 years of operation, the MOS would target 250 million galaxies and 25 million stars at low spectral resolution, plus 2 million stars at high resolution. Without need for pre-imaged targets, the IFS would deliver 4 billion spectra offering many serendipitous discoveries. Given the current investment in deep imaging surveys and noting the diagnostic power of spectroscopy, WST will fill a crucial gap in astronomical capability and work in synergy with future ground and space-based facilities. We show how it can address outstanding scientific questions in the areas of cosmology; galaxy assembly, evolution, and enrichment, including our own Milky Way; the origin of stars and planets; and time domain and multi-messenger astrophysics. WST’s uniquely rich dataset may yield unforeseen discoveries in many of these areas. The telescope and instruments are designed as an integrated system and will mostly use existing technology, with the aim to minimise the carbon footprint and environmental impact. We will propose WST as the next European Southern Observatory (ESO) project after completion of the 39-metre ELT. arXiv In this paper, we describe the wide-field spectroscopic survey telescope (WST) project. WST is a 12-metre wide-field spectroscopic survey telescope with simultaneous operation of a large field-of-view (3 sq. degree), high-multiplex (20,000) multi-object spectrograph (MOS), with both a low and high-resolution modes, and a giant 3x3 arcmin2 integral field spectrograph (IFS). In scientific capability, these specifications place WST far ahead of existing and planned facilities. In only 5 years of operation, the MOS would target 250 million galaxies and 25 million stars at low spectral resolution, plus 2 million stars at high resolution. Without need for pre-imaged targets, the IFS would deliver 4 billion spectra offering many serendipitous discoveries. Given the current investment in deep imaging surveys and noting the diagnostic power of spectroscopy, WST will fill a crucial gap in astronomical capability and work in synergy with future ground and space-based facilities. We show how it can address outstanding scientific questions in the areas of cosmology; galaxy assembly, evolution, and enrichment, including our own Milky Way; the origin of stars and planets; and time domain and multi-messenger astrophysics. WST's uniquely rich dataset may yield unforeseen discoveries in many of these areas. The telescope and instruments are designed as an integrated system and will mostly use existing technology, with the aim to minimise the carbon footprint and environmental impact. We will propose WST as the next European Southern Observatory (ESO) project after completion of the 39-metre ELT. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ arXiv astro-ph.SR arXiv astro-ph.CO arXiv astro-ph.IM ARTICLE WST Maineiri, Vincenzo European Southern Observ. European Southern Observatory (Germany) Randich, Sofia Arcetri Observ. INAF - Osservatorio Astrofisico di Arcetri (Italy) Cimatti, Andrea Bologna U. INFN, Bologna Univ. degli Studi di Bologna (Italy) Kneib, Jean-Paul Ecole Polytechnique, Lausanne Ecole Polytechnique Fédérale de Lausanne (Switzerland) Brinchmann, Jarle Lisbon, CFTP Instituto de Astrofísica e Ciências do Espaço (Portugal) Ellis, Richard University Coll. London Univ. College London (United Kingdom) Tolstoi, Eline Groningen, KVI Univ. of Groningen (Netherlands) Smiljanic, Rodolfo Torun, Copernicus Astron. Ctr. Nicolaus Copernicus Astronomical Ctr. (Poland) Hill, Vanessa Cote d'Azur Observ., Nice Observatoire de la Côte d'Azur (France) Anderson, Richard Ecole Polytechnique, Lausanne Ecole Polytechnique Fédérale de Lausanne (Switzerland) Saez, Paula Sanchez European Southern Observ. European Southern Observatory (Germany) Opitom, Cyrielle Unlisted, UK UK Research and Innovation (United Kingdom) Bryson, Ian Unlisted, UK UK Research and Innovation (United Kingdom) Dierickx, Philippe Lyon Observ. Ctr. de Recherche Astrophysique de Lyon (France) Garilli, Bianca Brera Observ. INAF - Istituto di Astrofisica Spaziale e Fisica Cosmica Milano (Italy) Gonzalez, Oscar Unlisted, UK UK Research and Innovation (United Kingdom) de Jong, Roelof ORCID:0000-0001-6982-4081 Potsdam, Astrophys. Inst. Leibniz-Institut für Astrophysik Potsdam (Germany) Lee, David Unlisted, UK UK Research and Innovation (United Kingdom) Mieske, Steffen European Southern Observ. European Southern Observatory (Germany) Otarola, Angel European Southern Observ. European Southern Observatory (Germany) Schipani, Pietro Capodimonte Observ. INAF - Osservatorio Astronomico di Capodimonte (Italy) Travouillon, Tony Australian Natl. U., Canberra The Australian National Univ. (Australia) Vernet, Joel ORCID:0000-0002-8639-8560 European Southern Observ. European Southern Observatory (Germany) Bryant, Julia U. Sydney (main) Univ. of Sydney (Australia) Casali, Marc Macquarie U. Macquarie Univ. (Australia) Colless, Matthew Australian Natl. U., Canberra The Australian National Univ. (Australia) Couch, Warrick Swinburne U. Tech., Hawthorn Swinburne Univ. of Technology (Australia) Driver, Simon Western Australia U. The Univ. of Western Australia (Australia) Fontana, Adriano Rome Observ. INAF - Osservatorio Astronomico di Roma (Italy) Lehnert, Matthew Lyon Observ. Ctr. de Recherche Astrophysique de Lyon (France) Magrini, Laura Arcetri Observ. INAF - Osservatorio Astrofisico di Arcetri (Italy) Montet, Ben New South Wales U. The Univ. of New South Wales (Australia) Pasquini, Luca European Southern Observ. European Southern Observatory (Germany) Roth, Martin Potsdam, Astrophys. Inst. Leibniz-Institut für Astrophysik Potsdam (Germany) Sanchez-Janssen, Ruben Rutherford UK Research and Innovation (United Kingdom) Steinmetz, Matthias Potsdam, Astrophys. Inst. Leibniz-Institut für Astrophysik Potsdam (Germany) Tresse, Laurence Marseille, Lab. Astrophys. Lab. d'Astrophysique de Marseille (France) Yeche, Christophe IRFU, Saclay CEA IRFU (France) Ziegler, Bodo Vienna U. Univ. Wien (Austria) WST Collaboration 130941O Proc. SPIE 13094 C24-06-16.2 2024 2531668 18298790 http://cds.cern.ch/record/2898489/files/2405.12518.pdf Fulltext 13 ConferencePaper ARTICLE hidden 2898487 20260328200922.0 oai:cds.cern.ch:2898487 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI APS 10.1103/PhysRevLett.134.011801 publication arXiv oai:arXiv.org:2405.12488 oai:inspirehep.net:2788741 https://inspirehep.net/api/oai2d Inspire 2026-03-27T01:24:18Z 2026-03-28T18:08:30Z marcxml true Inspire 2788741 arXiv arXiv:2405.12488 hep-ex eng Abe, K. ROR:https://ror.org/04djymq25 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Kamioka Observ. U. Tokyo (main) Tokyo U., IPMU University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan APS First joint oscillation analysis of Super-Kamiokande atmospheric and T2K accelerator neutrino data 2025-01-02 2024-05-21 12 p arXiv 12 pages, 4 figures APS The Super-Kamiokande and T2K Collaborations present a joint measurement of neutrino oscillation parameters from their atmospheric and beam neutrino data. It uses a common interaction model for events overlapping in neutrino energy and correlated detector systematic uncertainties between the two datasets, which are found to be compatible. Using 3244.4 days of atmospheric data and a beam exposure of <math display="inline"><mn>19.7</mn><mo stretchy="false">(</mo><mn>16.3</mn><mo stretchy="false">)</mo><mo>×</mo><msup><mn>10</mn><mn>20</mn></msup></math> protons on target in (anti)neutrino mode, the analysis finds a <math display="inline"><mrow><mn>1.9</mn><mi>σ</mi></mrow></math> exclusion of <math display="inline"><mi>C</mi><mi>P</mi></math> conservation (defined as <math display="inline"><msub><mi>J</mi><mrow><mi>C</mi><mi>P</mi></mrow></msub><mo>=</mo><mn>0</mn></math>) and a <math display="inline"><mrow><mn>1.2</mn><mi>σ</mi></mrow></math> exclusion of the inverted mass ordering. arXiv The Super-Kamiokande and T2K collaborations present a joint measurement of neutrino oscillation parameters from their atmospheric and beam neutrino data. It uses a common interaction model for events overlapping in neutrino energy and correlated detector systematic uncertainties between the two datasets, which are found to be compatible. Using 3244.4 days of atmospheric data and a beam exposure of $19.7(16.3) \times 10^{20}$ protons on target in (anti)neutrino mode, the analysis finds a 1.9$\sigma$ exclusion of CP-conservation (defined as $J_{CP}=0$) and a preference for the normal mass ordering. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication CC BY 4.0 SCOAP3 https://creativecommons.org/licenses/by/4.0/ publication authors 2025 arXiv WARNING: Colon in authors before S. Abe : Check author list for collaboration names! arXiv hep-ex SzGeCERN Particle Physics - Experiment CERN ARTICLE T2K SUPER KAMIOKANDE Abe, S. ROR:https://ror.org/04djymq25 Kamioka Observ. University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Akhlaq, N. ROR:https://ror.org/026zzn846 Queen Mary, U. of London Queen Mary University of London, School of Physics and Astronomy, London, United Kingdom Akutsu, R. ROR:https://ror.org/01g5y5k24 KEK, Tsukuba High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Alarakia-Charles, H. ROR:https://ror.org/04f2nsd36 Lancaster U. Lancaster University, Physics Department, Lancaster, United Kingdom Ali, A. ROR:https://ror.org/02gfys938 ROR:https://ror.org/03kgj4539 Manitoba U. TRIUMF University of Winnipeg, Department of Physics, Winnipeg, Manitoba, Canada TRIUMF, Vancouver, British Columbia, Canada Hakim, Y.I. Alj ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College London, Department of Physics, London, United Kingdom Alonso Monsalve, S. ROR:https://ror.org/05a28rw58 Zurich, ETH ETH Zurich, Institute for Particle Physics and Astrophysics, Zurich, Switzerland Amanai, S. Yokohama Natl. U. Yokohama National University, Department of Physics, Yokohama, Japan Andreopoulos, C. ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Department of Physics, Liverpool, United Kingdom Anthony, L. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College London, Department of Physics, London, United Kingdom Antonova, M. ROR:https://ror.org/017xch102 Valencia U., IFIC IFIC (CSIC & University of Valencia), Valencia, Spain Aoki, S. ROR:https://ror.org/03tgsfw79 Kobe U. Kobe University, Kobe, Japan Apte, K.A. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College London, Department of Physics, London, United Kingdom Arai, T. ROR:https://ror.org/057zh3y96 Tokyo U. University of Tokyo, Department of Physics, Tokyo, Japan Arihara, T. ROR:https://ror.org/00ws30h19 Tokyo Metropolitan U. Tokyo Metropolitan University, Department of Physics, Tokyo, Japan Arimoto, S. ROR:https://ror.org/02kpeqv85 Kyoto U. Kyoto University, Department of Physics, Kyoto, Japan Asada, Y. Yokohama Natl. U. Yokohama National University, Department of Physics, Yokohama, Japan Asaka, R. Tokyo U. of Sci. Tokyo University of Science, Faculty of Science and Technology, Department of Physics, Noda, Chiba, Japan Ashida, Y. ROR:https://ror.org/02kpeqv85 Kyoto U. Kyoto University, Department of Physics, Kyoto, Japan Atkin, E.T. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College London, Department of Physics, London, United Kingdom Babu, N. ROR:https://ror.org/05ect4e57 Louisiana State U. Louisiana State University, Department of Physics and Astronomy, Baton Rouge, Louisiana, U.S.A. Barbi, M. ROR:https://ror.org/010x8gc63 Saskatchewan U. University of Regina, Department of Physics, Regina, Saskatchewan, Canada Barker, G.J. ROR:https://ror.org/01a77tt86 Warwick U. University of Warwick, Department of Physics, Coventry, United Kingdom Barr, G. ROR:https://ror.org/052gg0110 Oxford U. Oxford University, Department of Physics, Oxford, United Kingdom Barrow, D. ROR:https://ror.org/052gg0110 Oxford U. Oxford University, Department of Physics, Oxford, United Kingdom Bates, P. ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Department of Physics, Liverpool, United Kingdom Batkiewicz-Kwasniak, M. ROR:https://ror.org/01n78t774 Cracow, INP H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland Beauchêne, A. ROR:https://ror.org/058t6p923 Ecole Polytechnique Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, Palaiseau, France Berardi, V. ROR:https://ror.org/027ynra39 Bari U. INFN Sezione di Bari and Università e Politecnico di Bari, Dipartimento Interuniversitario di Fisica, Bari, Italy Berns, L. ROR:https://ror.org/01dq60k83 Tohoku U. Tohoku University, Faculty of Science, Department of Physics, Miyagi, Japan Bhadra, S. ROR:https://ror.org/05fq50484 York U., Canada York University, Department of Physics and Astronomy, Toronto, Ontario, Canada Bhuiyan, N. ORCID:0009-0002-1227-1548 ROR:https://ror.org/0220mzb33 King's Coll. London King’s College London, Department of Physics, Strand, London, United Kingdom Bian, J. ROR:https://ror.org/04gyf1771 UC, Irvine University of California, Irvine, Department of Physics and Astronomy, Irvine, California, U.S.A. Blanchet, A. ROR:https://ror.org/01swzsf04 ISDC, Versoix University of Geneva, Section de Physique, DPNC, Geneva, Switzerland Blondel, A. ROR:https://ror.org/01hg8p552 ROR:https://ror.org/01swzsf04 LPNHE, Paris ISDC, Versoix Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Paris, France University of Geneva, Section de Physique, DPNC, Geneva, Switzerland Bodur, B. ROR:https://ror.org/03zzj3f20 Fields Inst., Toronto Waterloo U., Math. Dept. Duke University, Department of Physics, Durham, North Carolina, U.S.A. Bolognesi, S. ROR:https://ror.org/05k705z76 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Bordoni, S. ROR:https://ror.org/01swzsf04 ISDC, Versoix University of Geneva, Section de Physique, DPNC, Geneva, Switzerland Boyd, S.B. ROR:https://ror.org/01a77tt86 Warwick U. University of Warwick, Department of Physics, Coventry, United Kingdom Bravar, A. ROR:https://ror.org/01swzsf04 ISDC, Versoix University of Geneva, Section de Physique, DPNC, Geneva, Switzerland Bronner, C. ROR:https://ror.org/04djymq25 Kamioka Observ. University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Bubak, A. ROR:https://ror.org/0104rcc94 Silesia U. University of Silesia, Institute of Physics, Katowice, Poland Avanzini, M. Buizza ROR:https://ror.org/058t6p923 Ecole Polytechnique Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, Palaiseau, France Burton, G.T. ORCID:0009-0007-7925-5813 ROR:https://ror.org/0220mzb33 King's Coll. London King’s College London, Department of Physics, Strand, London, United Kingdom Caballero, J.A. ROR:https://ror.org/02p0gd045 ROR:https://ror.org/05rtchs68 UCM, Somosaguas Madrid, Inst. Estructura Materia Universidad de Sevilla, Departamento de Física Atómica, Molecular y Nuclear, Sevilla, Spain Calabria, N.F. ROR:https://ror.org/027ynra39 Bari U. INFN Sezione di Bari and Università e Politecnico di Bari, Dipartimento Interuniversitario di Fisica, Bari, Italy Cao, S. IFIRSE, Quy Nhon Institute For Interdisciplinary Research in Science and Education (IFIRSE), ICISE, Quy Nhon, Vietnam Carabadjac, D. ROR:https://ror.org/058t6p923 Ecole Polytechnique Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, Palaiseau, France Carter, A.J. ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Royal Holloway University of London, Department of Physics, Egham, Surrey, United Kingdom Cartwright, S.L. ROR:https://ror.org/05krs5044 U. Sheffield (main) University of Sheffield, School of Mathematical and Physical Sciences, Sheffield, United Kingdom Casado, M.P. ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Fisica d’Altes Energies (IFAE) - The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra (Barcelona) Spain Catanesi, M.G. ROR:https://ror.org/027ynra39 Bari U. INFN Sezione di Bari and Università e Politecnico di Bari, Dipartimento Interuniversitario di Fisica, Bari, Italy Cervera, A. ROR:https://ror.org/017xch102 Valencia U., IFIC IFIC (CSIC & University of Valencia), Valencia, Spain Chakrani, J. ORCID:0000-0002-5175-1010 ROR:https://ror.org/02jbv0t02 LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, California, U.S.A. Chalumeau, A. ROR:https://ror.org/01hg8p552 LPNHE, Paris Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Paris, France Chen, S. ROR:https://ror.org/03cve4549 Tsinghua U., Beijing Tsinghua University, Department of Engineering Physics, Beijing, China Cherdack, D. ROR:https://ror.org/048sx0r50 Houston U. University of Houston, Department of Physics, Houston, Texas, U.S.A. Choi, K. IBS, Daejeon, CUP Institute for Basic Science (IBS), Center for Underground Physics, Daejeon, Korea Chong, P.S. ROR:https://ror.org/00b30xv10 Pennsylvania U. University of Pennsylvania, Department of Physics and Astronomy, Philadelphia, Pennsylvania U.S.A. Chvirova, A. ORCID:0009-0000-4709-1390 ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia Cicerchia, M. ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN Sezione di Padova and Università di Padova, Dipartimento di Fisica, Padova, Italy Coleman, J. ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Department of Physics, Liverpool, United Kingdom Collazuol, G. ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN Sezione di Padova and Università di Padova, Dipartimento di Fisica, Padova, Italy Cook, L. ORCID:0000-0001-8163-1717 ROR:https://ror.org/052gg0110 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Oxford U. U. Tokyo (main) Tokyo U., IPMU Oxford University, Department of Physics, Oxford, United Kingdom Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Cormier, F. ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, Vancouver, British Columbia, Canada Cudd, A. ROR:https://ror.org/02ttsq026 Colorado U. University of Colorado at Boulder, Department of Physics, Boulder, Colorado, U.S.A. D'ago, D. ORCID:0000-0002-1837-6351 ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN Sezione di Padova and Università di Padova, Dipartimento di Fisica, Padova, Italy Dalmazzone, C. ROR:https://ror.org/01hg8p552 LPNHE, Paris Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Paris, France Daret, T. ROR:https://ror.org/05k705z76 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Dasgupta, P. ORCID:0000-0001-6231-9832 ROR:https://ror.org/01jsq2704 Eotvos U. Eötvös Loránd University, Department of Atomic Physics, Budapest, Hungary Davis, C. ROR:https://ror.org/00b30xv10 Pennsylvania U. University of Pennsylvania, Department of Physics and Astronomy, Philadelphia, Pennsylvania U.S.A. Davydov, Yu.I. ROR:https://ror.org/044yd9t77 Dubna, JINR Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia de Perio, P. ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 U. Tokyo (main) Tokyo U., IPMU Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan De Roeck, A. ROR:https://ror.org/01ggx4157 CERN CERN European Organization for Nuclear Research, Genéve, Switzerland De Rosa, G. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples INFN Sezione di Napoli and Università di Napoli, Dipartimento di Fisica, Napoli, Italy Dealtry, T. ROR:https://ror.org/04f2nsd36 Lancaster U. Lancaster University, Physics Department, Lancaster, United Kingdom Delogu, C.C. ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN Sezione di Padova and Università di Padova, Dipartimento di Fisica, Padova, Italy Densham, C. ROR:https://ror.org/03gq8fr08 Rutherford STFC, Rutherford Appleton Laboratory, Harwell Oxford, and Daresbury Laboratory, Warrington, United Kingdom Dergacheva, A. ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia Dharmapal, R. ROR:https://ror.org/00yae6e25 Wroclaw U. Wroclaw University, Faculty of Physics and Astronomy, Wroclaw, Poland Di Lodovico, F. ROR:https://ror.org/0220mzb33 King's Coll. London King’s College London, Department of Physics, Strand, London, United Kingdom Lopez, G. Diaz ROR:https://ror.org/01hg8p552 LPNHE, Paris Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Paris, France Dolan, S. ROR:https://ror.org/01ggx4157 CERN CERN European Organization for Nuclear Research, Genéve, Switzerland Douqa, D. ROR:https://ror.org/01swzsf04 ISDC, Versoix University of Geneva, Section de Physique, DPNC, Geneva, Switzerland Doyle, T.A. ROR:https://ror.org/05qghxh33 SUNY, Stony Brook State University of New York at Stony Brook, Department of Physics and Astronomy, Stony Brook, New York, U.S.A. Drapier, O. ROR:https://ror.org/058t6p923 Ecole Polytechnique Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, Palaiseau, France Duffy, K.E. ROR:https://ror.org/052gg0110 Oxford U. Oxford University, Department of Physics, Oxford, United Kingdom Dumarchez, J. ROR:https://ror.org/01hg8p552 LPNHE, Paris Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Paris, France Dunne, P. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College London, Department of Physics, London, United Kingdom Dygnarowicz, K. ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Institute of Radioelectronics and Multimedia Technology, Warsaw, Poland Edwards, R. ROR:https://ror.org/01a77tt86 Warwick U. University of Warwick, Department of Physics, Coventry, United Kingdom Eguchi, A. ROR:https://ror.org/057zh3y96 Tokyo U. University of Tokyo, Department of Physics, Tokyo, Japan Elias, J. ROR:https://ror.org/022kthw22 Rochester U. University of Rochester, Department of Physics and Astronomy, Rochester, New York, U.S.A. Emery-Schrenk, S. ROR:https://ror.org/05k705z76 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Erofeev, G. ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia Ershova, A. ORCID:0000-0001-6335-2343 ROR:https://ror.org/058t6p923 Ecole Polytechnique Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, Palaiseau, France Eurin, G. ROR:https://ror.org/05k705z76 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Fannon, J.E.P. ROR:https://ror.org/05krs5044 U. Sheffield (main) University of Sheffield, School of Mathematical and Physical Sciences, Sheffield, United Kingdom Fedorova, D. ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia Fedotov, S. ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia Feltre, M. ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN Sezione di Padova and Università di Padova, Dipartimento di Fisica, Padova, Italy Feng, J. ROR:https://ror.org/02kpeqv85 Kyoto U. Kyoto University, Department of Physics, Kyoto, Japan Feng, L. ROR:https://ror.org/02kpeqv85 Kyoto U. Kyoto University, Department of Physics, Kyoto, Japan Ferlewicz, D. ROR:https://ror.org/057zh3y96 Tokyo U. University of Tokyo, Department of Physics, Tokyo, Japan Fernandez, P. ROR:https://ror.org/01cby8j38 Madrid, Autonoma U. University Autonoma Madrid, Department of Theoretical Physics, Madrid, Spain Finch, A.J. ROR:https://ror.org/04f2nsd36 Lancaster U. Lancaster University, Physics Department, Lancaster, United Kingdom Aguirre, G.A. Fiorentini ROR:https://ror.org/05fq50484 York U., Canada York University, Department of Physics and Astronomy, Toronto, Ontario, Canada Fiorillo, G. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples INFN Sezione di Napoli and Università di Napoli, Dipartimento di Fisica, Napoli, Italy Fitton, M.D. ROR:https://ror.org/03gq8fr08 Rutherford STFC, Rutherford Appleton Laboratory, Harwell Oxford, and Daresbury Laboratory, Warrington, United Kingdom Patiño, J.M. Franco ROR:https://ror.org/02p0gd045 ROR:https://ror.org/05rtchs68 UCM, Somosaguas Madrid, Inst. Estructura Materia Universidad de Sevilla, Departamento de Física Atómica, Molecular y Nuclear, Sevilla, Spain Friend, M. ROR:https://ror.org/01g5y5k24 KEK, Tsukuba High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Fujii, Y. ROR:https://ror.org/01g5y5k24 KEK, Tsukuba High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Fujisawa, C. ROR:https://ror.org/02kn6nx58 Keio U. Keio University, Department of Physics, Kanagawa, Japan Fujita, S. ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 U. Tokyo (main) Tokyo U., IPMU Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Fukuda, Y. Miyagi U. of Education Miyagi University of Education, Department of Physics, Sendai, Japan Furui, Y. ROR:https://ror.org/00ws30h19 Tokyo Metropolitan U. Tokyo Metropolitan University, Department of Physics, Tokyo, Japan Gao, J. ROR:https://ror.org/0220mzb33 King's Coll. London King’s College London, Department of Physics, Strand, London, United Kingdom Gaur, R. ORCID:0009-0006-6509-4580 ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, Vancouver, British Columbia, Canada Giampaolo, A. ROR:https://ror.org/058t6p923 Ecole Polytechnique Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, Palaiseau, France Giannessi, L. ROR:https://ror.org/01swzsf04 ISDC, Versoix University of Geneva, Section de Physique, DPNC, Geneva, Switzerland Giganti, C. ROR:https://ror.org/01hg8p552 LPNHE, Paris Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Paris, France Glagolev, V. ROR:https://ror.org/044yd9t77 Dubna, JINR Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia Goldsack, A. ORCID:0000-0001-6792-3238 ROR:https://ror.org/0220mzb33 King's Coll. London King’s College London, Department of Physics, Strand, London, United Kingdom Gonin, M. ILANCE, Tokyo ILANCE, CNRS - University of Tokyo International Research Laboratory, Kashiwa, Chiba, Japan González Rosa, J. ROR:https://ror.org/02p0gd045 ROR:https://ror.org/05rtchs68 UCM, Somosaguas Madrid, Inst. Estructura Materia Universidad de Sevilla, Departamento de Física Atómica, Molecular y Nuclear, Sevilla, Spain Goodman, E.A.G. ROR:https://ror.org/00vtgdb53 Glasgow U. University of Glasgow, School of Physics and Astronomy, Glasgow, United Kingdom Gorin, A. ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia Gorshanov, K. ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia Gousy-Leblanc, V. ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, Vancouver, British Columbia, Canada Grassi, M. ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN Sezione di Padova and Università di Padova, Dipartimento di Fisica, Padova, Italy Griskevich, N.J. ROR:https://ror.org/04gyf1771 UC, Irvine University of California, Irvine, Department of Physics and Astronomy, Irvine, California, U.S.A. Guigue, M. ROR:https://ror.org/01hg8p552 LPNHE, Paris Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Paris, France Hadley, D.R. ROR:https://ror.org/01a77tt86 Warwick U. University of Warwick, Department of Physics, Coventry, United Kingdom Haigh, J.T. ROR:https://ror.org/01a77tt86 Warwick U. University of Warwick, Department of Physics, Coventry, United Kingdom Han, S. ROR:https://ror.org/008td3p62 Tokyo U., ICRR University of Tokyo, Institute for Cosmic Ray Research, Research Center for Cosmic Neutrinos, Kashiwa, Japan Harada, M. ROR:https://ror.org/02pc6pc55 Okayama U. Okayama University, Department of Physics, Okayama, Japan Harris, D.A. ROR:https://ror.org/05fq50484 York U., Canada York University, Department of Physics and Astronomy, Toronto, Ontario, Canada Hartz, M. ROR:https://ror.org/03kgj4539 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 TRIUMF U. Tokyo (main) Tokyo U., IPMU TRIUMF, Vancouver, British Columbia, Canada Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Hasegawa, T. ORCID:0000-0002-2967-1954 ROR:https://ror.org/01g5y5k24 KEK, Tsukuba High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Hassani, S. ROR:https://ror.org/05k705z76 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Hastings, N.C. ROR:https://ror.org/01g5y5k24 KEK, Tsukuba High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Hayato, Y. ROR:https://ror.org/04djymq25 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Kamioka Observ. U. Tokyo (main) Tokyo U., IPMU University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Heitkamp, I. ROR:https://ror.org/01dq60k83 Tohoku U. Tohoku University, Faculty of Science, Department of Physics, Miyagi, Japan Henaff, D. ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN Sezione di Padova and Università di Padova, Dipartimento di Fisica, Padova, Italy Hill, J. Cal State, Dominguez Hills California State University, Department of Physics, Dominguez Hills, Carson, California, U.S.A Hino, Y. ROR:https://ror.org/02pc6pc55 Okayama U. Okayama University, Department of Physics, Okayama, Japan Hiraide, K. ROR:https://ror.org/04djymq25 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Kamioka Observ. U. Tokyo (main) Tokyo U., IPMU University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Hogan, M. ROR:https://ror.org/03k1gpj17 Colorado State U. Colorado State University, Department of Physics, Fort Collins, Colorado, U.S.A. Holeczek, J. ROR:https://ror.org/0104rcc94 Silesia U. University of Silesia, Institute of Physics, Katowice, Poland Holin, A. ROR:https://ror.org/03gq8fr08 Rutherford Rutherford Appleton Laboratory, Harwell, Oxford, United Kingdom Holin, A. ROR:https://ror.org/03gq8fr08 Rutherford STFC, Rutherford Appleton Laboratory, Harwell Oxford, and Daresbury Laboratory, Warrington, United Kingdom Holvey, T. ROR:https://ror.org/052gg0110 Oxford U. Oxford University, Department of Physics, Oxford, United Kingdom Van, N.T. Hong ROR:https://ror.org/02wsd5p50 Hanoi, Inst. Phys. International Centre of Physics, Institute of Physics (IOP), Vietnam Academy of Science and Technology (VAST), 10 Dao Tan, Ba Dinh, Hanoi, Vietnam Honjo, T. ROR:https://ror.org/01hvx5h04 Osaka Metropolitan U. Osaka Metropolitan University, Department of Physics, Osaka, Japan Horiuchi, S. ROR:https://ror.org/02kn6nx58 Keio U. Keio University, Department of Physics, Kanagawa, Japan Hosokawa, K. ROR:https://ror.org/04djymq25 Kamioka Observ. University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Hu, J. ROR:https://ror.org/02kpeqv85 Kyoto U. Kyoto University, Department of Physics, Kyoto, Japan Hu, Z. ROR:https://ror.org/02kpeqv85 Kyoto U. Kyoto University, Department of Physics, Kyoto, Japan Iacob, F. ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN Sezione di Padova and Università di Padova, Dipartimento di Fisica, Padova, Italy Ichikawa, A.K. ROR:https://ror.org/01dq60k83 Tohoku U. Tohoku University, Faculty of Science, Department of Physics, Miyagi, Japan Ieki, K. ROR:https://ror.org/04djymq25 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Kamioka Observ. U. Tokyo (main) Tokyo U., IPMU University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Ikeda, M. ROR:https://ror.org/04djymq25 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Kamioka Observ. U. Tokyo (main) Tokyo U., IPMU University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Iovine, N. IBS, Daejeon, CUP Institute for Basic Science (IBS), Center for Underground Physics, Daejeon, Korea Ishida, T. ROR:https://ror.org/01g5y5k24 KEK, Tsukuba High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Ishino, H. ROR:https://ror.org/02pc6pc55 Okayama U. Okayama University, Department of Physics, Okayama, Japan Ishitsuka, M. Tokyo U. of Sci. Tokyo University of Science, Faculty of Science and Technology, Department of Physics, Noda, Chiba, Japan Ishizuka, T. Osaka Electrocommunications U. Osaka Electro-Communication University, Media Communication Center, Neyagawa, Osaka, Japan Itow, Y. ROR:https://ror.org/04chrp450 ROR:https://ror.org/04chrp450 Nagoya U., ISEE KMI, Nagoya Nagoya University, Institute for Space-Earth Environmental Research, Nagoya, Aichi, Japan Nagoya University, Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya, Aichi, Japan Ito, H. Tokyo U. of Sci. Tokyo University of Science, Faculty of Science and Technology, Department of Physics, Noda, Chiba, Japan Izmaylov, A. ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia Izumiyama, S. Tokyo U. of Sci. Institute of Science Tokyo, Department of Physics, Tokyo, Japan Jakkapu, M. ROR:https://ror.org/01g5y5k24 KEK, Tsukuba High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Jamieson, B. ROR:https://ror.org/02gfys938 Manitoba U. University of Winnipeg, Department of Physics, Winnipeg, Manitoba, Canada Jang, J.S. ROR:https://ror.org/024kbgz78 GIST, Gwangju Gwangju Institute of Science and Technology, GIST College, Gwangju, Korea Jang, M.C. ROR:https://ror.org/05kzjxq56 Chonnam Natl. U. Chonnam National University, Institute for Universe and Elementary Particles, Gwangju, Korea Jenkins, S.J. ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Department of Physics, Liverpool, United Kingdom Jesús-Valls, C. ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 U. Tokyo (main) Tokyo U., IPMU Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Jia, M. ROR:https://ror.org/05qghxh33 SUNY, Stony Brook State University of New York at Stony Brook, Department of Physics and Astronomy, Stony Brook, New York, U.S.A. Jiang, J.J. ROR:https://ror.org/05qghxh33 SUNY, Stony Brook State University of New York at Stony Brook, Department of Physics and Astronomy, Stony Brook, New York, U.S.A. Ji, J.Y. ROR:https://ror.org/05qghxh33 SUNY, Stony Brook State University of New York at Stony Brook, Department of Physics and Astronomy, Stony Brook, New York, U.S.A. Jonsson, P. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College London, Department of Physics, London, United Kingdom Joshi, S. ROR:https://ror.org/05k705z76 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Jung, C.K. ROR:https://ror.org/05qghxh33 SUNY, Stony Brook State University of New York at Stony Brook, Department of Physics and Astronomy, Stony Brook, New York, U.S.A. Jung, S. ROR:https://ror.org/04h9pn542 Seoul Natl. U. Seoul National University, Department of Physics, Seoul, Korea Kabirnezhad, M. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College London, Department of Physics, London, United Kingdom Kaboth, A.C. ROR:https://ror.org/04g2vpn86 ROR:https://ror.org/03gq8fr08 Royal Holloway, U. of London Rutherford Royal Holloway University of London, Department of Physics, Egham, Surrey, United Kingdom STFC, Rutherford Appleton Laboratory, Harwell Oxford, and Daresbury Laboratory, Warrington, United Kingdom Kajita, T. ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 ILANCE, Tokyo U. Tokyo (main) Tokyo U., IPMU University of Tokyo, Institute for Cosmic Ray Research, Research Center for Cosmic Neutrinos, Kashiwa, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan ILANCE, CNRS - University of Tokyo International Research Laboratory, Kashiwa, Chiba, Japan Kakuno, H. ROR:https://ror.org/00ws30h19 Tokyo Metropolitan U. Tokyo Metropolitan University, Department of Physics, Tokyo, Japan Kameda, J. ROR:https://ror.org/04djymq25 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Kamioka Observ. U. Tokyo (main) Tokyo U., IPMU University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Kanemura, Y. ROR:https://ror.org/04djymq25 Kamioka Observ. University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Kaneshima, R. ROR:https://ror.org/04djymq25 Kamioka Observ. University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Karpova, S. ROR:https://ror.org/01swzsf04 ISDC, Versoix University of Geneva, Section de Physique, DPNC, Geneva, Switzerland Kasetti, S.P. ROR:https://ror.org/05ect4e57 Louisiana State U. Louisiana State University, Department of Physics and Astronomy, Baton Rouge, Louisiana, U.S.A. Kashiwagi, Y. ROR:https://ror.org/04djymq25 Kamioka Observ. University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Kasturi, V.S. ORCID:0000-0001-7181-9150 ROR:https://ror.org/01swzsf04 ISDC, Versoix University of Geneva, Section de Physique, DPNC, Geneva, Switzerland Kataoka, Y. ROR:https://ror.org/04djymq25 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Kamioka Observ. U. Tokyo (main) Tokyo U., IPMU University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Katori, T. ROR:https://ror.org/0220mzb33 King's Coll. London King’s College London, Department of Physics, Strand, London, United Kingdom Kawamura, Y. ROR:https://ror.org/01hvx5h04 Osaka Metropolitan U. Osaka Metropolitan University, Department of Physics, Osaka, Japan Kawaue, M. ROR:https://ror.org/02kpeqv85 Kyoto U. Kyoto University, Department of Physics, Kyoto, Japan Kearns, E. ROR:https://ror.org/01nrxwf90 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Edinburgh U., Sch. Math. U. Tokyo (main) Tokyo U., IPMU Boston University, Department of Physics, Boston, Massachusetts, U.S.A. Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Khabibullin, M. ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia Khotjantsev, A. ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia Kikawa, T. ROR:https://ror.org/02kpeqv85 Kyoto U. Kyoto University, Department of Physics, Kyoto, Japan Kim, S.B. ROR:https://ror.org/04q78tk20 Sungkyunkwan U. Sungkyunkwan University, Department of Physics, Suwon, Korea King, S. ROR:https://ror.org/0220mzb33 King's Coll. London King’s College London, Department of Physics, Strand, London, United Kingdom Kiseeva, V. ROR:https://ror.org/044yd9t77 Dubna, JINR Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia Kisiel, J. ROR:https://ror.org/0104rcc94 Silesia U. University of Silesia, Institute of Physics, Katowice, Poland Kneale, L. ORCID:0000-0002-4087-1244 ROR:https://ror.org/05krs5044 U. Sheffield (main) University of Sheffield, School of Mathematical and Physical Sciences, Sheffield, United Kingdom Kobayashi, H. ROR:https://ror.org/057zh3y96 Tokyo U. University of Tokyo, Department of Physics, Tokyo, Japan Kobayashi, M. ROR:https://ror.org/02kn6nx58 Keio U. Keio University, Department of Physics, Kanagawa, Japan Kobayashi, T. ROR:https://ror.org/01g5y5k24 KEK, Tsukuba High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Koch, L. ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, Mainz, Germany Kodama, S. ROR:https://ror.org/057zh3y96 Tokyo U. University of Tokyo, Department of Physics, Tokyo, Japan Kolupanova, M. ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia Konaka, A. ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, Vancouver, British Columbia, Canada Kormos, L.L. ROR:https://ror.org/04f2nsd36 Lancaster U. Lancaster University, Physics Department, Lancaster, United Kingdom Koshio, Y. ROR:https://ror.org/02pc6pc55 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Okayama U. U. Tokyo (main) Tokyo U., IPMU Okayama University, Department of Physics, Okayama, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Koto, T. ROR:https://ror.org/00ws30h19 Tokyo Metropolitan U. Tokyo Metropolitan University, Department of Physics, Tokyo, Japan Kowalik, K. ROR:https://ror.org/00nzsxq20 NCBJ, Warsaw National Centre for Nuclear Research, Warsaw, Poland Kudenko, Y. ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia Kudo, Y. Yokohama Natl. U. Yokohama National University, Department of Physics, Yokohama, Japan Kuribayashi, S. ROR:https://ror.org/02kpeqv85 Kyoto U. Kyoto University, Department of Physics, Kyoto, Japan Kurjata, R. ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Institute of Radioelectronics and Multimedia Technology, Warsaw, Poland Kurochka, V. ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia Kutter, T. ROR:https://ror.org/05ect4e57 Louisiana State U. Louisiana State University, Department of Physics and Astronomy, Baton Rouge, Louisiana, U.S.A. Kuze, M. Tokyo U. of Sci. Institute of Science Tokyo, Department of Physics, Tokyo, Japan Kwon, E. ROR:https://ror.org/04q78tk20 Sungkyunkwan U. Sungkyunkwan University, Department of Physics, Suwon, Korea La Commara, M. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples INFN Sezione di Napoli and Università di Napoli, Dipartimento di Fisica, Napoli, Italy Labarga, L. ROR:https://ror.org/01cby8j38 Madrid, Autonoma U. University Autonoma Madrid, Department of Theoretical Physics, Madrid, Spain Lachat, M. ROR:https://ror.org/022kthw22 Rochester U. University of Rochester, Department of Physics and Astronomy, Rochester, New York, U.S.A. Lachner, K. ROR:https://ror.org/01a77tt86 Warwick U. University of Warwick, Department of Physics, Coventry, United Kingdom Lagoda, J. ROR:https://ror.org/00nzsxq20 NCBJ, Warsaw National Centre for Nuclear Research, Warsaw, Poland Lakshmi, S.M. ROR:https://ror.org/0104rcc94 Silesia U. University of Silesia, Institute of Physics, Katowice, Poland James, M. Lamers ORCID:0009-0001-4138-6654 ROR:https://ror.org/04f2nsd36 ROR:https://ror.org/03gq8fr08 Lancaster U. Rutherford Lancaster University, Physics Department, Lancaster, United Kingdom STFC, Rutherford Appleton Laboratory, Harwell Oxford, and Daresbury Laboratory, Warrington, United Kingdom Langella, A. ORCID:0000-0001-6273-3558 ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples INFN Sezione di Napoli and Università di Napoli, Dipartimento di Fisica, Napoli, Italy Laporte, J.-F. ROR:https://ror.org/05k705z76 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Last, D. ROR:https://ror.org/022kthw22 Rochester U. University of Rochester, Department of Physics and Astronomy, Rochester, New York, U.S.A. Latham, N. ROR:https://ror.org/01a77tt86 Warwick U. University of Warwick, Department of Physics, Coventry, United Kingdom Laveder, M. ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN Sezione di Padova and Università di Padova, Dipartimento di Fisica, Padova, Italy Lavitola, L. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples INFN Sezione di Napoli and Università di Napoli, Dipartimento di Fisica, Napoli, Italy Lawe, M. ROR:https://ror.org/04f2nsd36 Lancaster U. Lancaster University, Physics Department, Lancaster, United Kingdom Learned, J.G. ROR:https://ror.org/01wspgy28 Hawaii U. University of Hawaii, Department of Physics and Astronomy, Honolulu, Hawaii, U.S.A. Lee, S.H. ROR:https://ror.org/05kzjxq56 Chonnam Natl. U. Chonnam National University, Institute for Universe and Elementary Particles, Gwangju, Korea Lee, Y. ROR:https://ror.org/02kpeqv85 Kyoto U. Kyoto University, Department of Physics, Kyoto, Japan Silverio, D. Leon ROR:https://ror.org/00ch7yk27 South Dakota Sch. Mines Tech. South Dakota School of Mines and Technology, Rapid City, South Dakota, U.S.A. Levorato, S. ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN Sezione di Padova and Università di Padova, Dipartimento di Fisica, Padova, Italy Lewis, S. ROR:https://ror.org/0220mzb33 King's Coll. London King’s College London, Department of Physics, Strand, London, United Kingdom Lin, C. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College London, Department of Physics, London, United Kingdom Litchfield, R.P. ROR:https://ror.org/00vtgdb53 Glasgow U. University of Glasgow, School of Physics and Astronomy, Glasgow, United Kingdom Liu, S.L. ROR:https://ror.org/05qghxh33 SUNY, Stony Brook State University of New York at Stony Brook, Department of Physics and Astronomy, Stony Brook, New York, U.S.A. Liu, Y.M. ROR:https://ror.org/02kn6nx58 Keio U. Keio University, Department of Physics, Kanagawa, Japan Li, W. ROR:https://ror.org/052gg0110 Oxford U. Oxford University, Department of Physics, Oxford, United Kingdom Li, X. ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, Vancouver, British Columbia, Canada Longhin, A. ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN Sezione di Padova and Università di Padova, Dipartimento di Fisica, Padova, Italy Long, K.R. ROR:https://ror.org/041kmwe10 ROR:https://ror.org/03gq8fr08 Imperial Coll., London Rutherford Imperial College London, Department of Physics, London, United Kingdom STFC, Rutherford Appleton Laboratory, Harwell Oxford, and Daresbury Laboratory, Warrington, United Kingdom Moreno, A. Lopez ORCID:0009-0002-1065-5863 ROR:https://ror.org/0220mzb33 King's Coll. London King’s College London, Department of Physics, Strand, London, United Kingdom Ludovici, L. ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. INFN Sezione di Roma and Università di Roma "La Sapienza", Roma, Italy Lu, X. ORCID:0000-0002-3077-1805 ROR:https://ror.org/01a77tt86 Warwick U. University of Warwick, Department of Physics, Coventry, United Kingdom Lux, T. ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Fisica d’Altes Energies (IFAE) - The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra (Barcelona) Spain Machado, L.N. ROR:https://ror.org/00vtgdb53 Glasgow U. University of Glasgow, School of Physics and Astronomy, Glasgow, United Kingdom Maekawa, Y. ROR:https://ror.org/02kn6nx58 Keio U. Keio University, Department of Physics, Kanagawa, Japan Magaletti, L. ROR:https://ror.org/027ynra39 Bari U. INFN Sezione di Bari and Università e Politecnico di Bari, Dipartimento Interuniversitario di Fisica, Bari, Italy Mahn, K. ROR:https://ror.org/05hs6h993 Michigan State U. Michigan State University, Department of Physics and Astronomy, East Lansing, Michigan, U.S.A. Mahtani, K.K. ROR:https://ror.org/05qghxh33 SUNY, Stony Brook State University of New York at Stony Brook, Department of Physics and Astronomy, Stony Brook, New York, U.S.A. Malek, M. ROR:https://ror.org/05krs5044 U. Sheffield (main) University of Sheffield, School of Mathematical and Physical Sciences, Sheffield, United Kingdom Mandal, M. ORCID:0000-0003-0471-1400 ROR:https://ror.org/00nzsxq20 NCBJ, Warsaw National Centre for Nuclear Research, Warsaw, Poland Manly, S. ROR:https://ror.org/022kthw22 Rochester U. University of Rochester, Department of Physics and Astronomy, Rochester, New York, U.S.A. Marino, A.D. ROR:https://ror.org/02ttsq026 Colorado U. University of Colorado at Boulder, Department of Physics, Boulder, Colorado, U.S.A. Martens, K. ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 U. Tokyo (main) Tokyo U., IPMU Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Marti-Magro, L. Yokohama Natl. U. Yokohama National University, Department of Physics, Yokohama, Japan Martin, D.G.R. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College London, Department of Physics, London, United Kingdom Martini, M. ROR:https://ror.org/01hg8p552 LPNHE, Paris Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Paris, France Martin, J.F. ROR:https://ror.org/03dbr7087 Toronto U. University of Toronto, Department of Physics, Toronto, Ontario, Canada Marti, Ll. Yokohama Natl. U. Yokohama National University, Department of Physics, Yokohama, Japan Maruyama, T. ROR:https://ror.org/01g5y5k24 KEK, Tsukuba High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Matsubara, T. ROR:https://ror.org/01g5y5k24 KEK, Tsukuba High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Matsumoto, R. Tokyo U. of Sci. Institute of Science Tokyo, Department of Physics, Tokyo, Japan Mattiazzi, M. ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN Sezione di Padova and Università di Padova, Dipartimento di Fisica, Padova, Italy Matveev, V. ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia Mauger, C. ROR:https://ror.org/00b30xv10 Pennsylvania U. University of Pennsylvania, Department of Physics and Astronomy, Philadelphia, Pennsylvania U.S.A. Mavrokoridis, K. ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Department of Physics, Liverpool, United Kingdom Mazzucato, E. ROR:https://ror.org/05k705z76 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France McCauley, N. ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Department of Physics, Liverpool, United Kingdom McElwee, J.M. ROR:https://ror.org/05krs5044 U. Sheffield (main) University of Sheffield, School of Mathematical and Physical Sciences, Sheffield, United Kingdom McFarland, K.S. ORCID:0000-0001-9289-5005 ROR:https://ror.org/022kthw22 Rochester U. University of Rochester, Department of Physics and Astronomy, Rochester, New York, U.S.A. McGrew, C. ORCID:0000-0003-2053-3739 ROR:https://ror.org/05qghxh33 SUNY, Stony Brook State University of New York at Stony Brook, Department of Physics and Astronomy, Stony Brook, New York, U.S.A. McKean, J. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College London, Department of Physics, London, United Kingdom Mefodiev, A. ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia Megias, G.D. ROR:https://ror.org/02p0gd045 ROR:https://ror.org/05rtchs68 UCM, Somosaguas Madrid, Inst. Estructura Materia Universidad de Sevilla, Departamento de Física Atómica, Molecular y Nuclear, Sevilla, Spain Mehta, P. ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Department of Physics, Liverpool, United Kingdom Mellet, L. ROR:https://ror.org/05hs6h993 Michigan State U. Michigan State University, Department of Physics and Astronomy, East Lansing, Michigan, U.S.A. Menjo, H. ROR:https://ror.org/04chrp450 Nagoya U., ISEE Nagoya University, Institute for Space-Earth Environmental Research, Nagoya, Aichi, Japan Metelko, C. ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Department of Physics, Liverpool, United Kingdom Mezzetto, M. ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN Sezione di Padova and Università di Padova, Dipartimento di Fisica, Padova, Italy Migenda, J. ROR:https://ror.org/0220mzb33 King's Coll. London King’s College London, Department of Physics, Strand, London, United Kingdom Mijakowski, P. ROR:https://ror.org/00nzsxq20 NCBJ, Warsaw National Centre for Nuclear Research, Warsaw, Poland Miki, S. ROR:https://ror.org/04djymq25 Kamioka Observ. University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Miller, E. ORCID:0000-0003-2785-7381 ROR:https://ror.org/0220mzb33 King's Coll. London King’s College London, Department of Physics, Strand, London, United Kingdom Minamino, A. Yokohama Natl. U. Yokohama National University, Department of Physics, Yokohama, Japan Mine, S. ROR:https://ror.org/04djymq25 ROR:https://ror.org/04gyf1771 Kamioka Observ. UC, Irvine University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan University of California, Irvine, Department of Physics and Astronomy, Irvine, California, U.S.A. Mineev, O. ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia Mirabito, J. ROR:https://ror.org/01nrxwf90 Edinburgh U., Sch. Math. Boston University, Department of Physics, Boston, Massachusetts, U.S.A. Miura, M. ROR:https://ror.org/04djymq25 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Kamioka Observ. U. Tokyo (main) Tokyo U., IPMU University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Bueno, L. Molina ROR:https://ror.org/017xch102 Valencia U., IFIC IFIC (CSIC & University of Valencia), Valencia, Spain Moon, D.H. ROR:https://ror.org/05kzjxq56 Chonnam Natl. U. Chonnam National University, Institute for Universe and Elementary Particles, Gwangju, Korea Moriyama, S. ROR:https://ror.org/04djymq25 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Kamioka Observ. U. Tokyo (main) Tokyo U., IPMU University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Moriyama, S. Yokohama Natl. U. Yokohama National University, Department of Physics, Yokohama, Japan Mori, M. ROR:https://ror.org/02kpeqv85 Kyoto U. Kyoto University, Department of Physics, Kyoto, Japan Morrison, P. ROR:https://ror.org/00vtgdb53 Glasgow U. University of Glasgow, School of Physics and Astronomy, Glasgow, United Kingdom Mueller, Th.A. ROR:https://ror.org/058t6p923 Ecole Polytechnique Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, Palaiseau, France Munford, D. ROR:https://ror.org/048sx0r50 Houston U. University of Houston, Department of Physics, Houston, Texas, U.S.A. Muñoz, A. ROR:https://ror.org/058t6p923 Ecole Polytechnique ILANCE, Tokyo Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, Palaiseau, France ILANCE, CNRS - University of Tokyo International Research Laboratory, Kashiwa, Chiba, Japan Munteanu, L. ORCID:0000-0002-2074-8898 ROR:https://ror.org/01ggx4157 CERN CERN European Organization for Nuclear Research, Genéve, Switzerland Nagai, K. Yokohama Natl. U. Yokohama National University, Department of Physics, Yokohama, Japan Nagai, Y. ORCID:0000-0002-1792-5005 ROR:https://ror.org/01jsq2704 Eotvos U. Eötvös Loránd University, Department of Atomic Physics, Budapest, Hungary Nakadaira, T. ROR:https://ror.org/01g5y5k24 KEK, Tsukuba High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Nakagiri, K. ROR:https://ror.org/057zh3y96 Tokyo U. University of Tokyo, Department of Physics, Tokyo, Japan Nakahata, M. ROR:https://ror.org/04djymq25 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Kamioka Observ. U. Tokyo (main) Tokyo U., IPMU University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Nakajima, Y. ROR:https://ror.org/057zh3y96 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Tokyo U. U. Tokyo (main) Tokyo U., IPMU University of Tokyo, Department of Physics, Tokyo, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Nakamura, A. ROR:https://ror.org/02pc6pc55 Okayama U. Okayama University, Department of Physics, Okayama, Japan Nakamura, K.D. ROR:https://ror.org/01dq60k83 Tohoku U. Tohoku University, Faculty of Science, Department of Physics, Miyagi, Japan Nakamura, K. ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 ROR:https://ror.org/01g5y5k24 U. Tokyo (main) Tokyo U., IPMU KEK, Tsukuba Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Nakamura, T. Gifu U. Gifu University, Department of Physics, Gifu, Japan Nakanishi, F. ROR:https://ror.org/02pc6pc55 Okayama U. Okayama University, Department of Physics, Okayama, Japan Nakano, Y. ORCID:0000-0003-1572-3888 ROR:https://ror.org/04djymq25 Kamioka Observ. University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Nakayama, S. ROR:https://ror.org/04djymq25 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Kamioka Observ. U. Tokyo (main) Tokyo U., IPMU University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Nakaya, T. ROR:https://ror.org/02kpeqv85 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Kyoto U. U. Tokyo (main) Tokyo U., IPMU Kyoto University, Department of Physics, Kyoto, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Nakayoshi, K. ROR:https://ror.org/01g5y5k24 KEK, Tsukuba High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Naseby, C.E.R. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College London, Department of Physics, London, United Kingdom Ngoc, T.V. ROR:https://ror.org/02kpeqv85 Kyoto U. Kyoto University, Department of Physics, Kyoto, Japan Nguyen, D.T. ROR:https://ror.org/02jmfj006 Vietnam Natl. U. VNU University of Science, Vietnam National University, Hanoi, Vietnam Nguyen, V.Q. ORCID:0000-0001-7397-1690 ROR:https://ror.org/058t6p923 Ecole Polytechnique Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, Palaiseau, France Nicholson, M. ROR:https://ror.org/01a77tt86 Warwick U. University of Warwick, Department of Physics, Coventry, United Kingdom Niewczas, K. Gent U. Observ. Ghent University, Department of Physics and Astronomy, Gent, Belgium Ninomiya, K. ROR:https://ror.org/04chrp450 Nagoya U., ISEE Nagoya University, Institute for Space-Earth Environmental Research, Nagoya, Aichi, Japan Nishijima, K. ROR:https://ror.org/01p7qe739 Tokai U., Hiratsuka Tokai University, Department of Physics, Hiratsuka, Kanagawa, Japan Nishimori, S. ROR:https://ror.org/01g5y5k24 KEK, Tsukuba High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Nishimura, Y. ROR:https://ror.org/02kn6nx58 Keio U. Keio University, Department of Physics, Kanagawa, Japan Noguchi, Y. ROR:https://ror.org/04djymq25 Kamioka Observ. University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Nosek, T. ROR:https://ror.org/00nzsxq20 NCBJ, Warsaw National Centre for Nuclear Research, Warsaw, Poland Nova, F. ROR:https://ror.org/03gq8fr08 Rutherford Rutherford Appleton Laboratory, Harwell, Oxford, United Kingdom Nova, F. ROR:https://ror.org/03gq8fr08 Rutherford STFC, Rutherford Appleton Laboratory, Harwell Oxford, and Daresbury Laboratory, Warrington, United Kingdom Novella, P. ROR:https://ror.org/017xch102 Valencia U., IFIC IFIC (CSIC & University of Valencia), Valencia, Spain Nugent, J.C. ROR:https://ror.org/01dq60k83 Tohoku U. Tohoku University, Faculty of Science, Department of Physics, Miyagi, Japan O'Flaherty, M. ROR:https://ror.org/01a77tt86 Warwick U. University of Warwick, Department of Physics, Coventry, United Kingdom O'Keeffe, H.M. ROR:https://ror.org/04f2nsd36 Lancaster U. Lancaster University, Physics Department, Lancaster, United Kingdom O'Sullivan, L. ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, Mainz, Germany Odagawa, T. ROR:https://ror.org/02kpeqv85 Kyoto U. Kyoto University, Department of Physics, Kyoto, Japan Okazaki, R. ROR:https://ror.org/02kn6nx58 Keio U. Keio University, Department of Physics, Kanagawa, Japan Okazawa, H. ROR:https://ror.org/01w6wtk13 Shizuoka U., Ohya Shizuoka University of Welfare, Department of Informatics in Social Welfare, Yaizu, Shizuoka, Japan Okinaga, W. ROR:https://ror.org/057zh3y96 Tokyo U. University of Tokyo, Department of Physics, Tokyo, Japan Okumura, K. ROR:https://ror.org/008td3p62 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Tokyo U., ICRR U. Tokyo (main) Tokyo U., IPMU University of Tokyo, Institute for Cosmic Ray Research, Research Center for Cosmic Neutrinos, Kashiwa, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Okusawa, T. ROR:https://ror.org/01hvx5h04 Osaka Metropolitan U. Osaka Metropolitan University, Department of Physics, Osaka, Japan Ommura, Y. Tokyo U. of Sci. Tokyo University of Science, Faculty of Science and Technology, Department of Physics, Noda, Chiba, Japan Onda, N. ROR:https://ror.org/02kpeqv85 Kyoto U. Kyoto University, Department of Physics, Kyoto, Japan Ospina, N. ROR:https://ror.org/01cby8j38 Madrid, Autonoma U. University Autonoma Madrid, Department of Theoretical Physics, Madrid, Spain Osu, L. ROR:https://ror.org/058t6p923 Ecole Polytechnique Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, Palaiseau, France Oyama, Y. ROR:https://ror.org/01g5y5k24 KEK, Tsukuba High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Paganini, P. ROR:https://ror.org/058t6p923 Ecole Polytechnique Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, Palaiseau, France Palladino, V. ROR:https://ror.org/015kcdd40 Naples U. INFN, Naples INFN Sezione di Napoli and Università di Napoli, Dipartimento di Fisica, Napoli, Italy Paolone, V. ROR:https://ror.org/01an3r305 Pittsburgh U. University of Pittsburgh, Department of Physics and Astronomy, Pittsburgh, Pennsylvania, U.S.A. Pari, M. ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN Sezione di Padova and Università di Padova, Dipartimento di Fisica, Padova, Italy Park, R.G. ROR:https://ror.org/05kzjxq56 Chonnam Natl. U. Chonnam National University, Institute for Universe and Elementary Particles, Gwangju, Korea Parlone, J. ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Department of Physics, Liverpool, United Kingdom Pasternak, J. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College London, Department of Physics, London, United Kingdom Payne, D. ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Department of Physics, Liverpool, United Kingdom Penn, G.C. ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Department of Physics, Liverpool, United Kingdom Périssé, L. ILANCE, Tokyo ILANCE, CNRS - University of Tokyo International Research Laboratory, Kashiwa, Chiba, Japan Pershey, D. ROR:https://ror.org/03zzj3f20 Fields Inst., Toronto Waterloo U., Math. Dept. Duke University, Department of Physics, Durham, North Carolina, U.S.A. Pfaff, M. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College London, Department of Physics, London, United Kingdom Pickering, L. ROR:https://ror.org/03gq8fr08 Rutherford STFC, Rutherford Appleton Laboratory, Harwell Oxford, and Daresbury Laboratory, Warrington, United Kingdom Pintaudi, G. Yokohama Natl. U. Yokohama National University, Department of Physics, Yokohama, Japan Pistillo, C. ROR:https://ror.org/02k7v4d05 U. Bern, AEC University of Bern, Albert Einstein Center for Fundamental Physics, Laboratory for High Energy Physics (LHEP), Bern, Switzerland Pointon, B.W. ROR:https://ror.org/03kgj4539 Simon Fraser U., Burnaby (main) TRIUMF British Columbia Institute of Technology, Department of Physics, Burnaby, British Columbia, Canada TRIUMF, Vancouver, British Columbia, Canada Popov, B. ROR:https://ror.org/01hg8p552 LPNHE, Paris Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Paris, France Yrey, A.J. Portocarrero ROR:https://ror.org/01g5y5k24 KEK, Tsukuba High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Porwit, K. ROR:https://ror.org/0104rcc94 Silesia U. University of Silesia, Institute of Physics, Katowice, Poland Posiadala-Zezula, M. ROR:https://ror.org/039bjqg32 Warsaw U. University of Warsaw, Faculty of Physics, Warsaw, Poland Prabhu, Y.S. ROR:https://ror.org/00nzsxq20 NCBJ, Warsaw National Centre for Nuclear Research, Warsaw, Poland Prasad, H. ROR:https://ror.org/00yae6e25 Wroclaw U. Wroclaw University, Faculty of Physics and Astronomy, Wroclaw, Poland Pronost, G. ILANCE, Tokyo ILANCE, CNRS - University of Tokyo International Research Laboratory, Kashiwa, Chiba, Japan Prouse, N.W. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College London, Department of Physics, London, United Kingdom Pupilli, F. ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN Sezione di Padova and Università di Padova, Dipartimento di Fisica, Padova, Italy Quilain, B. ROR:https://ror.org/058t6p923 Ecole Polytechnique Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, Palaiseau, France Quyen, P.T. IFIRSE, Quy Nhon Institute For Interdisciplinary Research in Science and Education (IFIRSE), ICISE, Quy Nhon, Vietnam Raaf, J.L. ROR:https://ror.org/01nrxwf90 Edinburgh U., Sch. Math. Boston University, Department of Physics, Boston, Massachusetts, U.S.A. Radermacher, T. ROR:https://ror.org/04xfq0f34 RWTH Aachen U. RWTH Aachen University, III. Physikalisches Institut, Aachen, Germany Radicioni, E. ROR:https://ror.org/027ynra39 Bari U. INFN Sezione di Bari and Università e Politecnico di Bari, Dipartimento Interuniversitario di Fisica, Bari, Italy Radics, B. ROR:https://ror.org/05fq50484 York U., Canada York University, Department of Physics and Astronomy, Toronto, Ontario, Canada Ramirez, M.A. ROR:https://ror.org/00b30xv10 Pennsylvania U. University of Pennsylvania, Department of Physics and Astronomy, Philadelphia, Pennsylvania U.S.A. Ramsden, R.M. ROR:https://ror.org/0220mzb33 King's Coll. London King’s College London, Department of Physics, Strand, London, United Kingdom Ratoff, P.N. ROR:https://ror.org/04f2nsd36 Lancaster U. Lancaster University, Physics Department, Lancaster, United Kingdom Reh, M. ORCID:0009-0002-4557-1299 ROR:https://ror.org/02ttsq026 Colorado U. University of Colorado at Boulder, Department of Physics, Boulder, Colorado, U.S.A. Riccio, C. ORCID:0000-0001-5997-1635 ROR:https://ror.org/05qghxh33 SUNY, Stony Brook State University of New York at Stony Brook, Department of Physics and Astronomy, Stony Brook, New York, U.S.A. Richards, B. ROR:https://ror.org/01a77tt86 Warwick U. University of Warwick, Department of Physics, Coventry, United Kingdom Rogly, R. ROR:https://ror.org/058t6p923 Ecole Polytechnique Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, Palaiseau, France Rondio, E. ROR:https://ror.org/00nzsxq20 NCBJ, Warsaw National Centre for Nuclear Research, Warsaw, Poland Roth, S. ROR:https://ror.org/04xfq0f34 RWTH Aachen U. RWTH Aachen University, III. Physikalisches Institut, Aachen, Germany Roy, N. ROR:https://ror.org/05fq50484 York U., Canada York University, Department of Physics and Astronomy, Toronto, Ontario, Canada Rubbia, A. ROR:https://ror.org/05a28rw58 Zurich, ETH ETH Zurich, Institute for Particle Physics and Astrophysics, Zurich, Switzerland Russo, L. ROR:https://ror.org/01hg8p552 LPNHE, Paris Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Paris, France Rychter, A. ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Institute of Radioelectronics and Multimedia Technology, Warsaw, Poland Saenz, W. ROR:https://ror.org/01hg8p552 LPNHE, Paris Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Paris, France Sakai, S. ROR:https://ror.org/02pc6pc55 Okayama U. Okayama University, Department of Physics, Okayama, Japan Sakashita, K. ROR:https://ror.org/01g5y5k24 KEK, Tsukuba High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Samani, S. ROR:https://ror.org/052gg0110 Oxford U. Oxford University, Department of Physics, Oxford, United Kingdom Sánchez, F. ROR:https://ror.org/01swzsf04 ISDC, Versoix University of Geneva, Section de Physique, DPNC, Geneva, Switzerland Santos, A.D. ROR:https://ror.org/058t6p923 Ecole Polytechnique Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, Palaiseau, France Sato, K. ROR:https://ror.org/04djymq25 Kamioka Observ. University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Sato, Y. Tokyo U. of Sci. Tokyo University of Science, Faculty of Science and Technology, Department of Physics, Noda, Chiba, Japan Schefke, T. ROR:https://ror.org/05ect4e57 Louisiana State U. Louisiana State University, Department of Physics and Astronomy, Baton Rouge, Louisiana, U.S.A. Schloesser, C.M. ROR:https://ror.org/01swzsf04 ISDC, Versoix University of Geneva, Section de Physique, DPNC, Geneva, Switzerland Scholberg, K. ORCID:0000-0002-7007-2021 ROR:https://ror.org/03zzj3f20 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Fields Inst., Toronto Waterloo U., Math. Dept. U. Tokyo (main) Tokyo U., IPMU Duke University, Department of Physics, Durham, North Carolina, U.S.A. Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Scott, M. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College London, Department of Physics, London, United Kingdom Seiya, Y. ROR:https://ror.org/01hvx5h04 Osaka Metropolitan U. Osaka Metropolitan University, Department of Physics, Osaka, Japan Sekiguchi, T. ROR:https://ror.org/01g5y5k24 KEK, Tsukuba High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Sekiya, H. ROR:https://ror.org/04djymq25 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Kamioka Observ. U. Tokyo (main) Tokyo U., IPMU University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Seo, J.W. ROR:https://ror.org/04q78tk20 Sungkyunkwan U. Sungkyunkwan University, Department of Physics, Suwon, Korea Sgalaberna, D. ROR:https://ror.org/05a28rw58 Zurich, ETH ETH Zurich, Institute for Particle Physics and Astrophysics, Zurich, Switzerland Shaikhiev, A. ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia Shibayama, R. Yokohama Natl. U. Yokohama National University, Department of Physics, Yokohama, Japan Shiba, H. ROR:https://ror.org/04djymq25 Kamioka Observ. University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Shigeta, N. Tokyo U. of Sci. Tokyo University of Science, Faculty of Science and Technology, Department of Physics, Noda, Chiba, Japan Shinoki, M. Tokyo U. of Sci. Tokyo University of Science, Faculty of Science and Technology, Department of Physics, Noda, Chiba, Japan Shima, S. ROR:https://ror.org/057zh3y96 Tokyo U. University of Tokyo, Department of Physics, Tokyo, Japan Shimamura, R. Yokohama Natl. U. Yokohama National University, Department of Physics, Yokohama, Japan Shimizu, K. ROR:https://ror.org/04djymq25 Kamioka Observ. University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Shiozawa, M. ROR:https://ror.org/04djymq25 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Kamioka Observ. U. Tokyo (main) Tokyo U., IPMU University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Shiraishi, Y. ROR:https://ror.org/02pc6pc55 Okayama U. Okayama University, Department of Physics, Okayama, Japan Shi, W. ROR:https://ror.org/05qghxh33 SUNY, Stony Brook State University of New York at Stony Brook, Department of Physics and Astronomy, Stony Brook, New York, U.S.A. Shvartsman, A. ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia Skrobova, N. ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia Skwarczynski, K. ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Royal Holloway University of London, Department of Physics, Egham, Surrey, United Kingdom Smyczek, D. ROR:https://ror.org/04xfq0f34 RWTH Aachen U. RWTH Aachen University, III. Physikalisches Institut, Aachen, Germany Smy, M. ROR:https://ror.org/04gyf1771 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 UC, Irvine U. Tokyo (main) Tokyo U., IPMU University of California, Irvine, Department of Physics and Astronomy, Irvine, California, U.S.A. Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Sobczyk, J.T. ROR:https://ror.org/00yae6e25 Wroclaw U. Wroclaw University, Faculty of Physics and Astronomy, Wroclaw, Poland Sobel, H. ROR:https://ror.org/04gyf1771 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 UC, Irvine U. Tokyo (main) Tokyo U., IPMU University of California, Irvine, Department of Physics and Astronomy, Irvine, California, U.S.A. Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Soler, F.J.P. ROR:https://ror.org/00vtgdb53 Glasgow U. University of Glasgow, School of Physics and Astronomy, Glasgow, United Kingdom Sonoda, Y. ROR:https://ror.org/04djymq25 Kamioka Observ. University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Speers, A.J. ROR:https://ror.org/04f2nsd36 Lancaster U. Lancaster University, Physics Department, Lancaster, United Kingdom Spina, R. ROR:https://ror.org/027ynra39 Bari U. INFN Sezione di Bari and Università e Politecnico di Bari, Dipartimento Interuniversitario di Fisica, Bari, Italy Stroke, Y. ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia Suslov, I.A. ROR:https://ror.org/044yd9t77 Dubna, JINR Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia Suvorov, S. ROR:https://ror.org/01a1xfd09 ROR:https://ror.org/01hg8p552 Moscow, INR LPNHE, Paris Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Paris, France Suzuki, A. ROR:https://ror.org/03tgsfw79 Kobe U. Kobe University, Kobe, Japan Suzuki, S.Y. ROR:https://ror.org/01g5y5k24 KEK, Tsukuba High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Suzuki, S. Yokohama Natl. U. Yokohama National University, Department of Physics, Yokohama, Japan Suzuki, Y. ROR:https://ror.org/04djymq25 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Kamioka Observ. U. Tokyo (main) Tokyo U., IPMU University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Tada, M. ROR:https://ror.org/01g5y5k24 KEK, Tsukuba High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Tada, T. ROR:https://ror.org/02pc6pc55 Okayama U. Okayama University, Department of Physics, Okayama, Japan Tairafune, S. ROR:https://ror.org/01dq60k83 Tohoku U. Tohoku University, Faculty of Science, Department of Physics, Miyagi, Japan Takagi, Y. ROR:https://ror.org/03tgsfw79 Kobe U. Kobe University, Kobe, Japan Takeda, A. ROR:https://ror.org/04djymq25 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Kamioka Observ. U. Tokyo (main) Tokyo U., IPMU University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Takemoto, Y. ROR:https://ror.org/04djymq25 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Kamioka Observ. U. Tokyo (main) Tokyo U., IPMU University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Takeuchi, Y. ROR:https://ror.org/03tgsfw79 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Kobe U. U. Tokyo (main) Tokyo U., IPMU Kobe University, Kobe, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Takhistov, V. ROR:https://ror.org/04gyf1771 ROR:https://ror.org/01g5y5k24 UC, Irvine KEK, Tsukuba University of California, Irvine, Department of Physics and Astronomy, Irvine, California, U.S.A. High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Takifuji, K. ROR:https://ror.org/01dq60k83 Tohoku U. Tohoku University, Faculty of Science, Department of Physics, Miyagi, Japan Tanaka, H.K. ROR:https://ror.org/04djymq25 Kamioka Observ. University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Tanaka, H. ROR:https://ror.org/04djymq25 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Kamioka Observ. U. Tokyo (main) Tokyo U., IPMU University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Tanigawa, H. ROR:https://ror.org/01g5y5k24 KEK, Tsukuba High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Taniuchi, N. ROR:https://ror.org/057zh3y96 Tokyo U. University of Tokyo, Department of Physics, Tokyo, Japan Tano, T. ROR:https://ror.org/02pc6pc55 Okayama U. Okayama University, Department of Physics, Okayama, Japan Tarrant, A. ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Department of Physics, Liverpool, United Kingdom Tashiro, T. ROR:https://ror.org/008td3p62 Tokyo U., ICRR University of Tokyo, Institute for Cosmic Ray Research, Research Center for Cosmic Neutrinos, Kashiwa, Japan Teklu, A. ROR:https://ror.org/05qghxh33 SUNY, Stony Brook State University of New York at Stony Brook, Department of Physics and Astronomy, Stony Brook, New York, U.S.A. Terada, K. Tokyo U. of Sci. Institute of Science Tokyo, Department of Physics, Tokyo, Japan Tereshchenko, V.V. ROR:https://ror.org/044yd9t77 Dubna, JINR Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia Thamm, N. ROR:https://ror.org/04xfq0f34 RWTH Aachen U. RWTH Aachen University, III. Physikalisches Institut, Aachen, Germany Thompson, L.F. ROR:https://ror.org/05krs5044 U. Sheffield (main) University of Sheffield, School of Mathematical and Physical Sciences, Sheffield, United Kingdom Toki, W. ROR:https://ror.org/03k1gpj17 Colorado State U. Colorado State University, Department of Physics, Fort Collins, Colorado, U.S.A. Tomiya, T. ROR:https://ror.org/008td3p62 Tokyo U., ICRR University of Tokyo, Institute for Cosmic Ray Research, Research Center for Cosmic Neutrinos, Kashiwa, Japan Touramanis, C. ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Department of Physics, Liverpool, United Kingdom Tsui, K.M. ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 U. Tokyo (main) Tokyo U., IPMU Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Tsukamoto, T. ROR:https://ror.org/01g5y5k24 KEK, Tsukuba High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki, Japan Tzanov, M. ROR:https://ror.org/05ect4e57 Louisiana State U. Louisiana State University, Department of Physics and Astronomy, Baton Rouge, Louisiana, U.S.A. Uchida, Y. ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College London, Department of Physics, London, United Kingdom Vagins, M. ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 ROR:https://ror.org/04gyf1771 U. Tokyo (main) Tokyo U., IPMU UC, Irvine Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan University of California, Irvine, Department of Physics and Astronomy, Irvine, California, U.S.A. Vargas, D. ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Fisica d’Altes Energies (IFAE) - The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra (Barcelona) Spain Varghese, M. ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Fisica d’Altes Energies (IFAE) - The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra (Barcelona) Spain Vasseur, G. ROR:https://ror.org/05k705z76 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Villa, E. ROR:https://ror.org/01ggx4157 ROR:https://ror.org/01swzsf04 CERN ISDC, Versoix CERN European Organization for Nuclear Research, Genéve, Switzerland University of Geneva, Section de Physique, DPNC, Geneva, Switzerland Vinning, W.G.S. ROR:https://ror.org/01a77tt86 Warwick U. University of Warwick, Department of Physics, Coventry, United Kingdom Virginet, U. ORCID:0000-0002-8697-7378 ROR:https://ror.org/01hg8p552 LPNHE, Paris Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Paris, France Vladisavljevic, T. ROR:https://ror.org/03gq8fr08 Rutherford STFC, Rutherford Appleton Laboratory, Harwell Oxford, and Daresbury Laboratory, Warrington, United Kingdom T.Wachala ROR:https://ror.org/01n78t774 Cracow, INP H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland D.Wakabayashi ROR:https://ror.org/01dq60k83 Tohoku U. Tohoku University, Faculty of Science, Department of Physics, Miyagi, Japan H.T.Wallace ROR:https://ror.org/05krs5044 U. Sheffield (main) University of Sheffield, School of Mathematical and Physical Sciences, Sheffield, United Kingdom Thiesse, M.D. ROR:https://ror.org/05krs5044 U. Sheffield (main) University of Sheffield, School of Mathematical and Physical Sciences, Sheffield, United Kingdom J.G.Walsh ROR:https://ror.org/05hs6h993 Michigan State U. Michigan State University, Department of Physics and Astronomy, East Lansing, Michigan, U.S.A. Walter, C.W. ORCID:0000-0003-2035-2380 ROR:https://ror.org/03zzj3f20 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Fields Inst., Toronto Waterloo U., Math. Dept. U. Tokyo (main) Tokyo U., IPMU Duke University, Department of Physics, Durham, North Carolina, U.S.A. Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Wang, X. ROR:https://ror.org/008td3p62 Tokyo U., ICRR University of Tokyo, Institute for Cosmic Ray Research, Research Center for Cosmic Neutrinos, Kashiwa, Japan Y.Wang ROR:https://ror.org/05qghxh33 SUNY, Stony Brook State University of New York at Stony Brook, Department of Physics and Astronomy, Stony Brook, New York, U.S.A. L.Wan ROR:https://ror.org/01nrxwf90 Edinburgh U., Sch. Math. Boston University, Department of Physics, Boston, Massachusetts, U.S.A. D.Wark ROR:https://ror.org/03gq8fr08 ROR:https://ror.org/052gg0110 Rutherford Oxford U. STFC, Rutherford Appleton Laboratory, Harwell Oxford, and Daresbury Laboratory, Warrington, United Kingdom Oxford University, Department of Physics, Oxford, United Kingdom M.O.Wascko ROR:https://ror.org/052gg0110 ROR:https://ror.org/03gq8fr08 Oxford U. Rutherford Oxford University, Department of Physics, Oxford, United Kingdom STFC, Rutherford Appleton Laboratory, Harwell Oxford, and Daresbury Laboratory, Warrington, United Kingdom Watanabe, E. ROR:https://ror.org/057zh3y96 Tokyo U. University of Tokyo, Department of Physics, Tokyo, Japan A.Weber ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, Mainz, Germany R.Wendell ROR:https://ror.org/02kpeqv85 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Kyoto U. U. Tokyo (main) Tokyo U., IPMU Kyoto University, Department of Physics, Kyoto, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Wester, T. ORCID:0000-0001-6668-7595 ROR:https://ror.org/01nrxwf90 Edinburgh U., Sch. Math. Boston University, Department of Physics, Boston, Massachusetts, U.S.A. M.J.Wilking ROR:https://ror.org/017zqws13 Minnesota U. University of Minnesota, School of Physics and Astronomy, Minneapolis, Minnesota, U.S.A. C.Wilkinson ROR:https://ror.org/02jbv0t02 LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, California, U.S.A. J.R.Wilson ROR:https://ror.org/0220mzb33 King's Coll. London King’s College London, Department of Physics, Strand, London, United Kingdom Wilson, S.T. ROR:https://ror.org/05krs5044 U. Sheffield (main) University of Sheffield, School of Mathematical and Physical Sciences, Sheffield, United Kingdom K.Wood ROR:https://ror.org/02jbv0t02 LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, California, U.S.A. C.Wret ORCID:0000-0002-2288-7605 ROR:https://ror.org/052gg0110 Oxford U. Oxford University, Department of Physics, Oxford, United Kingdom Wu, Y. ORCID:0000-0002-3982-0407 ROR:https://ror.org/03cve4549 Tsinghua U., Beijing Tsinghua University, Department of Engineering Physics, Beijing, China Xia, J. ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 U. Tokyo (main) Tokyo U., IPMU Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Xie, Z. ORCID:0009-0003-0144-2871 ROR:https://ror.org/0220mzb33 King's Coll. London King’s College London, Department of Physics, Strand, London, United Kingdom Xu, B.D. ROR:https://ror.org/03cve4549 Tsinghua U., Beijing Tsinghua University, Department of Engineering Physics, Beijing, China Xu, Y.-h. ORCID:0000-0001-7094-5534 ROR:https://ror.org/04f2nsd36 Lancaster U. Lancaster University, Physics Department, Lancaster, United Kingdom Yamamoto, K. ROR:https://ror.org/01hvx5h04 Osaka Metropolitan U. Osaka Metropolitan University, Department of Physics, Osaka, Japan Yamamoto, T. ROR:https://ror.org/01hvx5h04 Osaka Metropolitan U. Osaka Metropolitan University, Department of Physics, Osaka, Japan Yamauchi, K. ORCID:0009-0000-0112-0619 Tokyo U. of Sci. Tokyo University of Science, Faculty of Science and Technology, Department of Physics, Noda, Chiba, Japan Yanagisawa, C. ROR:https://ror.org/05qghxh33 SUNY, Stony Brook State University of New York at Stony Brook, Department of Physics and Astronomy, Stony Brook, New York, U.S.A. Yang, B.S. ROR:https://ror.org/04h9pn542 Seoul Natl. U. Seoul National University, Department of Physics, Seoul, Korea Yang, G. ROR:https://ror.org/05qghxh33 SUNY, Stony Brook State University of New York at Stony Brook, Department of Physics and Astronomy, Stony Brook, New York, U.S.A. Yang, J.Y. ROR:https://ror.org/04h9pn542 Seoul Natl. U. Seoul National University, Department of Physics, Seoul, Korea Yankelevich, A. ROR:https://ror.org/04gyf1771 UC, Irvine University of California, Irvine, Department of Physics and Astronomy, Irvine, California, U.S.A. Yano, T. ROR:https://ror.org/04djymq25 Kamioka Observ. University of Tokyo, Institute for Cosmic Ray Research, Kamioka Observatory, Kamioka, Japan Yasutome, K. ROR:https://ror.org/02kpeqv85 Kyoto U. Kyoto University, Department of Physics, Kyoto, Japan Yershov, N. ROR:https://ror.org/01a1xfd09 Moscow, INR Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia Yevarouskaya, U. ORCID:0000-0002-1028-4735 ROR:https://ror.org/05qghxh33 SUNY, Stony Brook State University of New York at Stony Brook, Department of Physics and Astronomy, Stony Brook, New York, U.S.A. Yokoyama, M. ROR:https://ror.org/057zh3y96 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Tokyo U. U. Tokyo (main) Tokyo U., IPMU University of Tokyo, Department of Physics, Tokyo, Japan Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan Yoo, J. ROR:https://ror.org/04h9pn542 Seoul Natl. U. Seoul National University, Department of Physics, Seoul, Korea Yoshida, S. ROR:https://ror.org/008td3p62 Tokyo U., ICRR University of Tokyo, Institute for Cosmic Ray Research, Research Center for Cosmic Neutrinos, Kashiwa, Japan Yoshida, T. Tokyo U. of Sci. Tokyo University of Science, Faculty of Science and Technology, Department of Physics, Noda, Chiba, Japan Yoshimoto, Y. ROR:https://ror.org/057zh3y96 Tokyo U. University of Tokyo, Department of Physics, Tokyo, Japan Yoshimura, N. ROR:https://ror.org/02kpeqv85 Kyoto U. Kyoto University, Department of Physics, Kyoto, Japan Yoshioka, Y. ROR:https://ror.org/04chrp450 Nagoya U., ISEE Nagoya University, Institute for Space-Earth Environmental Research, Nagoya, Aichi, Japan Yu, I. ROR:https://ror.org/04q78tk20 Sungkyunkwan U. Sungkyunkwan University, Department of Physics, Suwon, Korea Yu, M. ROR:https://ror.org/05fq50484 York U., Canada York University, Department of Physics and Astronomy, Toronto, Ontario, Canada Zaki, R. ROR:https://ror.org/05fq50484 York U., Canada York University, Department of Physics and Astronomy, Toronto, Ontario, Canada Zaldivar, B. ROR:https://ror.org/01cby8j38 Madrid, Autonoma U. University Autonoma Madrid, Department of Theoretical Physics, Madrid, Spain Zalewska, A. ROR:https://ror.org/01n78t774 Cracow, INP H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland Zalipska, J. ROR:https://ror.org/00nzsxq20 NCBJ, Warsaw National Centre for Nuclear Research, Warsaw, Poland Zaremba, K. ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Institute of Radioelectronics and Multimedia Technology, Warsaw, Poland Zarnecki, G. ROR:https://ror.org/01n78t774 Cracow, INP H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland Zhang, A.Q. ROR:https://ror.org/03cve4549 Tsinghua U., Beijing Tsinghua University, Department of Engineering Physics, Beijing, China Zhang, B. ROR:https://ror.org/03cve4549 Tsinghua U., Beijing Tsinghua University, Department of Engineering Physics, Beijing, China Zhang, J. ROR:https://ror.org/03kgj4539 ROR:https://ror.org/03rmrcq20 TRIUMF British Columbia U. TRIUMF, Vancouver, British Columbia, Canada University of British Columbia, Department of Physics and Astronomy, Vancouver, British Columbia, Canada Zhao, X.Y. ROR:https://ror.org/05a28rw58 Zurich, ETH ETH Zurich, Institute for Particle Physics and Astrophysics, Zurich, Switzerland Zhong, H. ROR:https://ror.org/03tgsfw79 Kobe U. Kobe University, Kobe, Japan Zhu, T. ORCID:0000-0002-0285-5358 ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College London, Department of Physics, London, United Kingdom Ziembicki, M. ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Institute of Radioelectronics and Multimedia Technology, Warsaw, Poland Zimmerman, E.D. ROR:https://ror.org/02ttsq026 Colorado U. University of Colorado at Boulder, Department of Physics, Boulder, Colorado, U.S.A. Zito, M. ROR:https://ror.org/01hg8p552 LPNHE, Paris Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Paris, France Zsoldos, S. ROR:https://ror.org/0220mzb33 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 King's Coll. London U. Tokyo (main) Tokyo U., IPMU King’s College London, Department of Physics, Strand, London, United Kingdom Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba, Japan T2K Collaboration Super-Kamiokande Collaboration 011801 publication 1 Phys. Rev. Lett. 134 2025 2531665 522834 http://cds.cern.ch/record/2898487/files/2405.12488.pdf Fulltext 2624912 34052 http://cds.cern.ch/record/2898487/files/Fig4.png 00000 Sensitivity to reject the CP-conserving hypothesis for different true values of \deltacp assuming the normal MO. Other oscillation parameters are set to $\ssqthtwothree = 0.528$, $\ssqthonethree = 0.0218$, and $\dmsqtwothree = 2.509 \times 10^{-3} \, \mathrm{eV^2}$. 2706604 523172 http://cds.cern.ch/record/2898487/files/Publication.pdf Fulltext 13 ARTICLE 2898100 20240626203618.0 oai:cds.cern.ch:2898100 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI 10.17181/CERN.US5U.4OJ4 CERN-OPEN-2024-004 eng AUTHOR|(CDS)2771247 AUTHOR|(SzGeCERN)853269 Aleixo, Luis luis.aleixo@cern.ch CERN Enhancing airborne transmission modelling of respiratory viruses in enclosed spaces through a CO$_2$ concentration fitting algorithm 2024 Geneva CERN 11 Mar 2024 8 p The COVID-19 pandemic has emphasized the critical need for accurate risk assessment and mitigation strategies in indoor settings. This study proposes an extension to the CERN’s Airborne Model for Indoor Risk Assessment (CAiMIRA), by incorporating a CO2 concentration fitting algorithm to better assume the environmental conditions of the room. This addition aims at predicting equivalent exhalation rates of the occupants and ventilation profiles, thereby reducing user inputs while enhancing the model’s accuracy. In typical risk assessment models, the exhalation and air exchange rates are user inputs which, in most of the cases, are considered as best guess estimates with large uncertainties. In this study, we obtain these parameters from measured data of indoor CO2 concentration, enhancing the accuracy of the model. Such approach can be used in applications where the occupancy profile is dynamic and/or the ventilation system is unknown or unpredictable, such as schools and offices. A series of experiments in offices buildings were performed to benchmark the algorithm, showing up to a 4-fold increase in the accuracy of the model compared to user-estimated inputs. By integrating the predicted exhalation rate and ventilation profiles obtained through the fitting algorithm, decision-makers and facility managers can rely on measured data to achieve more accurate and efficient results. CERN EDS CERN-HSE SzGeCERN Health Physics and Radiation Effects CERN risk-assessment CERN modelling CERN CAiMIRA CERN airborne transmission CERN fitting algorithm CERN CO2 CERN PREPRINT AUTHOR|(CDS)2082836 AUTHOR|(SzGeCERN)721444 Henriques, Andre andre.henriques@cern.ch CERN AUTHOR|(CDS)2072584 AUTHOR|(SzGeCERN)680656 Mounet, Nicolas nicolas.mounet@cern.ch CERN HSE 2530982 596818 http://cds.cern.ch/record/2898100/files/CERN-OPEN-2024-004.pdf 2530982 220832 http://cds.cern.ch/record/2898100/files/CERN-OPEN-2024-004.jpg?subformat=icon-1440 icon-1440 2530982 220832 http://cds.cern.ch/record/2898100/files/CERN-OPEN-2024-004.jpg?subformat=icon-640 icon-640 2530982 220832 http://cds.cern.ch/record/2898100/files/CERN-OPEN-2024-004.jpg?subformat=icon-700 icon-700 2530982 78580 http://cds.cern.ch/record/2898100/files/CERN-OPEN-2024-004.jpg?subformat=icon-180 icon-180 2530982 79297 http://cds.cern.ch/record/2898100/files/CERN-OPEN-2024-004.gif?subformat=icon icon luis.aleixo@cern.ch n 202422 11 2899199 stockholm20240422 PUBLIC 000782752CER PREPRINT 2898037 20250515232549.0 oai:cds.cern.ch:2898037 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN Inspire 2797615 CERN-THESIS-2024-056 eng AUTHOR|(CDS)2298801 AUTHOR|(SzGeCERN)827136 Prousalidi, Theoni theoni.prousalidi@cern.ch Natl. Tech. U., Athens System Development of Silicon Photonics Transceivers for Future Upgrades of High Energy Physics Experiments at CERN Ανάπτυξη σε Επίπεδο Συστήματος Φωτονικών Πομποδεκτών Κατασκευασμένων σε Πλατφόρμα Ολοκλήρωσης Πυριτίου για Χρήση σε Μελλοντικές Αναβαθμίσεις Συστημάτων στα Πλαίσια των Πειράματα Φυσικής Υψηλών Ενεργειών στο CERN 2024 24/04/2024 219 p Presented 24 Apr 2024 PhD Natl. Tech. U., Athens 2024 In the coming years, various upgrades will take place in CERN's detectors and experiments. The first one of these, called the high luminosity LHC project, is already underway and foresees the starting of the operation of the upgraded systems in 2026. Starting at the end of the HL-LHC era, the high radiation levels and increased data rates due to the increased luminosity of the accelerator will impose the need for a new generation of optical links, able to withstand the extreme condition in the detectors, and support the data rates. The currently available optical transceivers will not be able to survive in the innermost regions of some of the detectors due to their limited radiation tolerance. It is therefore evident that a new generation of optical links will be required in future upgrades of experiments at CERN. SiPh has been identified as the perfect candidate for this upgrade, since it combines all the advantages that are required for such an application. In recent years CERN has taken an interest in the SiPh technology for the aforementioned reason. An extensive effort has been taking place the past years within the EP-ESE group at CERN that focuses on the modelling and development of SiPh transceivers for HEP application. This effort includes the simulation, design and fabrication of SiPh PICs for the development of the necessary building blocks that can be combined to realize radiation-hard SiPh transceivers. At the same time, this effort includes the testing and characterization of the designed structures as part of the feedback process that is required to make design, technology and architecture choices regarding the target system. An indispensable side of the development of radiation-hard SiPh based links is also the extensive study and validation of the radiation tolerance of the developed components and circuits. Without this study, the integration of SiPh based TRx is CERN experiments will not be possible. Within the CERN collaboration, various SiPh test chips have been designed and characterized. Relevant to the work described in this thesis is the second chip that was designed at CERN in 2019 and was fabricated by imec's multi project wafer (MPW) in 2020, namely PICv2. This test chip includes IP blocks designed at CERN or made available by the foundry's libraries, combined to form structures for data transmission demonstrations. More specifically, the PIC includes various versions of RMs, Mach-Zehnder modulators (MZMs), Ge PDs, optical multiplexers, interferometers for polarization recovery studies, as well as a WDM circuit with four cascaded RMs connected in series. This PIC serves first of all as a test vehicle for the characterization of the individual components, the implementation of radiation tests and the comparison of the different versions of the components in terms of performance and radiation hardness. At the same time, the building blocks that are available from the PIC can be combined and utilized for the assembly of a first version of transmitters and receivers, allowing higher level testing and characterization. On a system level, the development and operation of SiPh based transceivers involves many challenges. On the transmitter side, a very important challenge is the wavelength stabilization of the RMs. This is necessary to achieve their stable operation at the desired wavelength of operation irrespective of variations in the environmental conditions (e.g. temperature, external laser wavelength variation). Another important challenge is the polarization management. This is required due to the unique architecture of such a link that imposes the placement of the optical sources in the back-end, away for the SiPh PICs, and their connection with SMFs that do not maintain the polarization. The same problem exists also on the receiver side, since the SiPh Rx will be connected to the BE Tx through long SMFs. Especially in the case of a WDM implementation, the architecture of the whole link, including the SiPh circuit, the power supplies and the polarization management and thermal tuning, becomes more complex and requires extra effort and problems to be addressed. The scope of this thesis, that also reflects the work that the writer carried out during the past three years, evolves around the development of a SiPh Tx and Rx based on the components provided by PICv2. It also concerns the addressing of the challenges that are involved in the development of such a SiPh TRx, from a system point of view. The aforementioned objectives target the advancing towards a first demonstration of SiPh TRx for HEP experiments. CERN Doctoral Student Program The author 2024 CERN EDS SzGeCERN Engineering CERN THESIS Avramopoulos, Hercules dir. Natl. Tech. U., Athens Soudris, Dimitrios dir. Natl. Tech. U., Athens Troska, Jan dir. CERN Scarcella, Carmelo dir. CERN EP 2530756 46749920 http://cds.cern.ch/record/2898037/files/CERN-THESIS-2024-056.pdf Fulltext theoni.prousalidi@cern.ch n 202421 a2024 14 PUBLIC https://repository.cern/legacy/record/2898037 THESIS MIGRATED 2897149 20250515232547.0 oai:cds.cern.ch:2897149 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN INSPIRE 2797625 CERN-THESIS-2023-389 eng AUTHOR|(CDS)2708397 AUTHOR|(SzGeCERN)845298 Ruf, Johannes johannes.ruf@cern.ch CERN Inductive Adder for Driving Kicker Magnets Terminated in a Short-Circuit Karlsruhe KIT, Karlsruhe 2024 05/12/2023 Presented 05 Dec 2023 PhD KIT, Karlsruhe 2023 In the CERN particle accelerator complex, fast pulsed magnet systems are used to transfer the particle beam between accelerator stages. Transmission line type kicker magnets are used in many of these systems to deflect the charged particles using a magnetic field pulse with a well-defined flat top and a fast rise and fall time. Some kicker magnets are terminated with a short-circuit for the advantage of twice the kick-strength for a given system impedance, aperture size, and magnet length, due to the doubling of the current in the kicker magnet. The pulse generators based on pulse forming lines or pulse forming networks and thyratron switches, currently used to drive these kicker magnets, should be replaced in the near future, due to the obsolescence of the thyratron switches employed and because of the environmental impact of $\mathrm{SF_6}$ gas which is used in the pulse forming lines. As a promising alternative, an inductive adder for driving these kicker magnets terminated in a short-circuit is investigated in this work. In order to deal with the wave reflected from the short-circuit back into the inductive adder, as part of a new design approach, a specifically tailored branch module has been designed and built. To account for the reflection at the short- circuit, the branch module features a novel topology with two independently controlled semiconductor switches. This allows to first inject energy into the connecting cable and the kicker magnet, then to circulate the resulting current in a free-wheeling interval, and, finally, to absorb the energy at the end of the pulse. This new mode of operation makes it possible, to design the cross-sectional area of the magnetic cores of the inductive adder according to only twice the signal propagation time along the connecting cable and the kicker magnet, rather than according to the whole pulse length as in a conventional design. This allows for a significant reduction in the cross-sectional area of the magnetic cores for the usual operating cases. In addition, in contrast to a conventional design, an operation at a higher pulse repetition rate is possible, as a reset of the core is not required with the new mode of operation. It is essential for the application that the operation of the switches for the pulsed energy injection and extraction by the inductive adder results in steep edges at exactly defined times, which are determined by the signal propagation times in the connecting cable and the kicker magnet. These requirements have been met by implementing the gate boosting operation of SiC MOSFETs, resulting in a rise time of both voltage and current of 5 ns for a voltage of 1.2 kV and a current of 120 A per branch module. The branch module and the new mode of operation have been tested successfully with a short-circuit terminated replacement load. The experimental results confirm the advantages of the novel design, the circuit concept of the branch module and the new mode of operation. CERN Doctoral Student Program CERN EDS SzGeCERN Accelerators and Storage Rings SzGeCERN Engineering CERN THESIS Sack, Martin dir. Kramer, Thomas dir. Barnes, Mike dir. SY 2529334 41085498 http://cds.cern.ch/record/2897149/files/CERN-THESIS-2023-389.pdf Fulltext 2529334 69929 http://cds.cern.ch/record/2897149/files/CERN-THESIS-2023-389.gif?subformat=icon icon 2529334 71251 http://cds.cern.ch/record/2897149/files/CERN-THESIS-2023-389.jpg?subformat=icon-180 icon-180 2529334 96675 http://cds.cern.ch/record/2897149/files/CERN-THESIS-2023-389.jpg?subformat=icon-1440 icon-1440 2529334 96675 http://cds.cern.ch/record/2897149/files/CERN-THESIS-2023-389.jpg?subformat=icon-640 icon-640 2529334 96675 http://cds.cern.ch/record/2897149/files/CERN-THESIS-2023-389.jpg?subformat=icon-700 icon-700 johannes.ruf@cern.ch n 202419 a2024 14 PUBLIC https://repository.cern/legacy/record/2897149 THESIS MIGRATED 2897123 20260418043322.0 oai:cds.cern.ch:2897123 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI Springer 10.1007/JHEP08(2024)063 arXiv oai:arXiv.org:2404.17559 oai:inspirehep.net:2781318 https://inspirehep.net/api/oai2d Inspire 2026-04-17T08:18:35Z 2026-04-18T02:00:20Z marcxml true Inspire 2781318 arXiv arXiv:2404.17559 hep-ex eng Aguilar, J. GRID:grid.420161.0 ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain Springer Decoherence in Neutrino Oscillation at the ESSnuSB Experiment 2024-08-08 2024-04-26 30 p arXiv 30 pages, 9 figures, 2 tables, Version accepted for publication in JHEP Springer Neutrino oscillation experiments provide a unique window in exploring several new physics scenarios beyond the standard three flavour. One such scenario is quantum decoherence in neutrino oscillation which tends to destroy the interference pattern of neutrinos reaching the far detector from the source. In this work, we study the decoherence in neutrino oscillation in the context of the ESSnuSB experiment. We consider the energy-independent decoherence parameter and derive the analytical expressions for P$_{μe}$ and P$_{μμ}$ probabilities in vacuum. We have computed the capability of ESSnuSB to put bounds on the decoherence parameters namely, Γ$_{21}$ and Γ$_{32}$ and found that the constraints on Γ$_{21}$ are competitive compared to the DUNE bounds and better than the most stringent LBL ones from MINOS/MINOS+. We have also investigated the impact of decoherence on the ESSnuSB measurement of the Dirac CP phase δ$_{CP}$ and concluded that it remains robust in the presence of new physics.[graphic not available: see fulltext] arXiv Neutrino oscillation experiments provide a unique window in exploring several new physics scenarios beyond the standard three flavour. One such scenario is quantum decoherence in neutrino oscillation which tends to destroy the interference pattern of neutrinos reaching the far detector from the source. In this work, we study the decoherence in neutrino oscillation in the context of the ESSnuSB experiment. We consider the energy-independent decoherence parameter and derive the analytical expressions for P$_{\mu e}$ and P$_{\mu \mu}$ probabilities in vacuum. We have computed the capability of ESSnuSB to put bounds on the decoherence parameters namely, $\Gamma_{21}$ and $\Gamma_{32}$ and found that the constraints on $\Gamma_{21}$ are competitive compared to the DUNE bounds and better than the most stringent LBL ones from MINOS/MINOS+. We have also investigated the impact of decoherence on the ESSnuSB measurement of the Dirac CP phase $\delta_{\rm CP}$ and concluded that it remains robust in the presence of new physics. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication CC-BY-4.0 Springer SCOAP3 http://creativecommons.org/licenses/by/4.0/ publication The Authors 2024 HAL G 2024-05-02 fullabs G 2024-05-05 printed arXiv hep-ph SzGeCERN Particle Physics - Phenomenology arXiv hep-ex SzGeCERN Particle Physics - Experiment CERN ARTICLE ESSnuSB Anastasopoulos, M. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Baussan, E. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Bhattacharyya, A.K. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Bignami, A. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Blennow, M. GRID:grid.5037.1 GRID:grid.411313.5 ROR:https://ror.org/026vcq606 Royal Inst. Tech., Stockholm Stockholm Observ. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Bogomilov, M. GRID:grid.11355.33 ROR:https://ror.org/02jv3k292 Sofiya U. Sofia University St. Kliment Ohridski, Faculty of Physics, 1164 Sofia, Bulgaria Bolling, B. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Bouquerel, E. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Bramati, F. GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Branca, A. GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Brunetti, G. GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Bustinduy, I. GRID:grid.420161.0 ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain Carlile, C.J. GRID:grid.4514.4 ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P. O Box 118, 221 00 Lund, Sweden Cederkall, J. GRID:grid.4514.4 ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P. O Box 118, 221 00 Lund, Sweden Choi, T.W. GRID:grid.8993.b ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Choubey, S. GRID:grid.5037.1 GRID:grid.411313.5 ROR:https://ror.org/026vcq606 Royal Inst. Tech., Stockholm Stockholm Observ. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Christiansen, P. GRID:grid.4514.4 ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P. O Box 118, 221 00 Lund, Sweden Collins, M. GRID:grid.434715.0 GRID:grid.4514.4 ROR:https://ror.org/012a77v79 ESS, Lund Lund U. European Spallation Source, Box 176, SE-221 00 Lund, Sweden Faculty of Engineering, Lund University, P.O Box 118, 221 00 Lund, Sweden Morales, E. Cristaldo GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Cupiał, P. GRID:grid.9922.0 ROR:https://ror.org/00bas1c41 AGH-UST, Cracow AGH University of Krakow, al. A. Mickiewicza 30, 30-059 Krakow, Poland Danared, H. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Dancila, D. GRID:grid.8993.b ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden de André, J.P. A.M. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Dracos, M. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Efthymiopoulos, I. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, 1211 Geneva 23, Switzerland Ekelöf, T. GRID:grid.8993.b ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Eshraqi, M. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Fanourakis, G. GRID:grid.450262.7 ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Farricker, A. GRID:grid.10025.36 ROR:https://ror.org/02a5smf05 Cockcroft Inst. Accel. Sci. Tech. Cockroft Institute (A36), Liverpool University, WA4 4AD Warrington, UK Fasoula, E. GRID:grid.4793.9 ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Fukuda, T. GRID:grid.27476.30 ROR:https://ror.org/04chrp450 Nagoya U., IAR Nagoya U. Institute for Advanced Research, Nagoya University, 464-8601 Nagoya, Japan Gazis, N. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Geralis, Th. GRID:grid.450262.7 ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Ghosh, M. ORCID:0000-0003-3540-6548 mghosh@irb.hr GRID:grid.4905.8 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Giarnetti, A. ORCID:0000-0001-8487-8045 alessio.giarnetti@uniroma3.it GRID:grid.8509.4 ROR:https://ror.org/05vf0dg29 Rome III U. Dipartimento di Matematica e Fisica, Università di Roma Tre, Via della Vasca Navale 84, 00146 Rome, Italy Gokbulut, G. GRID:grid.98622.37 GRID:grid.5342.0 ROR:https://ror.org/05wxkj555 ROR:https://ror.org/00cv9y106 Cukurova U. Gent U. University of Cukurova, Faculty of Science and Letters, Department of Physics, 01330 Adana, Turkey Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Gupta, A. ORCID:0000-0002-7247-2424 aman.gupta@saha.ac.in GRID:grid.473481.d GRID:grid.450257.1 ROR:https://ror.org/0491yz035 ROR:https://ror.org/02bv3zr67 Saha Inst. HBNI, Mumbai Theory Division, Saha Institute of Nuclear Physics, 1/AF, Bidhannagar, 700064 Kolkata, India Homi Bhabha National Institute, Anushakti Nagar, 400094 Mumbai, India Hagner, C. GRID:grid.9026.d ROR:https://ror.org/00g30e956 Hamburg U. Institute for Experimental Physics, Hamburg University, 22761 Hamburg, Germany Halić, L. GRID:grid.4905.8 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Hariharan, V.T. GRID:grid.9026.d ROR:https://ror.org/00g30e956 Hamburg U. Institute for Experimental Physics, Hamburg University, 22761 Hamburg, Germany Hooft, M. GRID:grid.5342.0 ROR:https://ror.org/00cv9y106 Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Iversen, K.E. GRID:grid.4514.4 ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P. O Box 118, 221 00 Lund, Sweden Jachowicz, N. GRID:grid.5342.0 ROR:https://ror.org/00cv9y106 Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Jenssen, M. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Johansson, R. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Kasimi, E. GRID:grid.4793.9 ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Kayis Topaksu, A. GRID:grid.98622.37 ROR:https://ror.org/05wxkj555 Cukurova U. University of Cukurova, Faculty of Science and Letters, Department of Physics, 01330 Adana, Turkey Kildetof, B. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Kliček, B. GRID:grid.4905.8 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Kordas, K. GRID:grid.4793.9 ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Leisos, A. GRID:grid.55939.33 ROR:https://ror.org/02kq26x23 Hellenic Open U., Patras Physics Laboratory, School of Science and Technology, Hellenic Open University, 26335 Patras, Greece Lindroos, M. GRID:grid.434715.0 GRID:grid.4514.4 ROR:https://ror.org/012a77v79 ESS, Lund Lund U. European Spallation Source, Box 176, SE-221 00 Lund, Sweden Department of Physics, Lund University, P. O Box 118, 221 00 Lund, Sweden Longhin, A. GRID:grid.470212.2 ROR:https://ror.org/00240q980 ROR:https://ror.org/00z34yn88 Padua U. INFN, Padua Department of Physics and Astronomy “G. Galilei”, University of Padova and INFN Sezione di Padova, Padova, Italy Maiano, C. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Majumdar, D. GRID:grid.473481.d GRID:grid.450257.1 ROR:https://ror.org/0491yz035 ROR:https://ror.org/02bv3zr67 Saha Inst. HBNI, Mumbai Theory Division, Saha Institute of Nuclear Physics, 1/AF, Bidhannagar, 700064 Kolkata, India Homi Bhabha National Institute, Anushakti Nagar, 400094 Mumbai, India Marangoni, S. GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Marrelli, C. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Martins, C. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Meloni, D. ORCID:0000-0001-7680-6957 davide.meloni@uniroma3.it GRID:grid.8509.4 ROR:https://ror.org/05vf0dg29 Rome III U. Dipartimento di Matematica e Fisica, Università di Roma Tre, Via della Vasca Navale 84, 00146 Rome, Italy Mezzetto, M. GRID:grid.470212.2 ROR:https://ror.org/00z34yn88 INFN, Padua INFN Sez. di Padova, Padova, Italy Milas, N. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Muñoz, J. GRID:grid.420161.0 ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain Niewczas, K. GRID:grid.5342.0 ROR:https://ror.org/00cv9y106 Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Oglakci, M. GRID:grid.98622.37 ROR:https://ror.org/05wxkj555 Cukurova U. University of Cukurova, Faculty of Science and Letters, Department of Physics, 01330 Adana, Turkey Ohlsson, T. GRID:grid.5037.1 GRID:grid.411313.5 ROR:https://ror.org/026vcq606 Royal Inst. Tech., Stockholm Stockholm Observ. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Olvegård, M. GRID:grid.8993.b ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Pari, M. GRID:grid.470212.2 ROR:https://ror.org/00240q980 ROR:https://ror.org/00z34yn88 Padua U. INFN, Padua Department of Physics and Astronomy “G. Galilei”, University of Padova and INFN Sezione di Padova, Padova, Italy Patrzalek, D. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Petkov, G. GRID:grid.11355.33 ROR:https://ror.org/02jv3k292 Sofiya U. Sofia University St. Kliment Ohridski, Faculty of Physics, 1164 Sofia, Bulgaria Petridou, Ch. GRID:grid.4793.9 ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Poussot, P. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Psallidas, A. GRID:grid.450262.7 ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Pupilli, F. GRID:grid.470212.2 ROR:https://ror.org/00z34yn88 INFN, Padua INFN Sez. di Padova, Padova, Italy Saiang, D. GRID:grid.6926.b Lulea U. Department of Civil, Environmental and Natural Resources Engineering Luleå University of Technology, SE-971 87 Lulea, Sweden Sampsonidis, D. GRID:grid.4793.9 ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Schwab, C. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Sordo, F. GRID:grid.420161.0 ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain Sosa, A. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Stavropoulos, G. GRID:grid.450262.7 ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Stipčević, M. GRID:grid.4905.8 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Tarkeshian, R. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Terranova, F. GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Tolba, T. GRID:grid.9026.d ROR:https://ror.org/00g30e956 Hamburg U. Institute for Experimental Physics, Hamburg University, 22761 Hamburg, Germany Trachanas, E. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Tsenov, R. GRID:grid.11355.33 ROR:https://ror.org/02jv3k292 Sofiya U. Sofia University St. Kliment Ohridski, Faculty of Physics, 1164 Sofia, Bulgaria Tsirigotis, A. GRID:grid.55939.33 ROR:https://ror.org/02kq26x23 Hellenic Open U., Patras Physics Laboratory, School of Science and Technology, Hellenic Open University, 26335 Patras, Greece Tzamarias, S.E. GRID:grid.4793.9 ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Vankova-Kirilova, G. GRID:grid.11355.33 ROR:https://ror.org/02jv3k292 Sofiya U. Sofia University St. Kliment Ohridski, Faculty of Physics, 1164 Sofia, Bulgaria Vassilopoulos, N. GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 Beijing, Inst. High Energy Phys. Institute of High Energy Physics (IHEP) Dongguan Campus, Chinese Academy of Sciences (CAS), 1 Zhongziyuan Road, 523803 Dongguan, Guangdong, China Vihonen, S. GRID:grid.5037.1 GRID:grid.411313.5 ROR:https://ror.org/026vcq606 Royal Inst. Tech., Stockholm Stockholm Observ. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Wurtz, J. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Zeter, V. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France Zormpa, O. GRID:grid.450262.7 ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Zou, Y. GRID:grid.8993.b ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden ESSnuSB Collaboration 063 JHEP 2408 2024 2529023 31172 http://cds.cern.ch/record/2897123/files/CPV_precision_vs_gamma__dcp_zeroandpi_360.png 00021 $1\sigma$ precision of $\delta_{\rm CP}$ in \ess as a function of the decoherence parameter, for three different scenarios. Decoherence is present in both true and test data. The left (right) plot corresponds to the true values of $\delta_{\rm CP} = 0 {\rm~ and} ~180^0$ ($\pm 90^0$). 2529024 29112 http://cds.cern.ch/record/2897123/files/CPV_sensitivity__vs_gamma360.png 00020 CP violation sensitivity of ESSnuSB as a function of decoherence parameters ($\Gamma_{ij}$). 2529025 210978 http://cds.cern.ch/record/2897123/files/event_disapp_360.png 00009 Total number of events as a function of the decoherence parameters $\Gamma_{21}$ and $\Gamma_{32}$ and for two choices of $\delta_{\rm CP}$, $0^\circ$ and $-90^\circ$. 2529026 56035 http://cds.cern.ch/record/2897123/files/pmumu_g21.png 00006 Appearance (top panel) and disappearance (bottom panel) neutrino oscillation probabilities as a function of neutrino energy for the baseline $ L = 360$ km. The left (right) panels are for the $\Gamma_{21}$ ($\Gamma_{32}$) case. 2529027 4600 http://cds.cern.ch/record/2897123/files/gamma_CL_curve_T2K.png 00011 \textit{Left}: $3\sigma$ contour plot (for 2 dof) for the decoherence parameters \gsol and \gatm in ESSnuSB. Different colours correspond to the different values of systematic uncertainties, as reported in the legend. \textit{Right}: The expected precision of ESSnuSB in measuring the decoherence parameters for 5\% systematics. 2529028 4792 http://cds.cern.ch/record/2897123/files/gamma21_th23.png 00015 Effect of decoherence on $\theta_{23}$. In both panels, two distinct true values for the atmospheric angles have been chosen, $\theta^{\rm true}_{23}=42.2^\circ, 49.1^\circ$. On the left plot, the $\Gamma_{21}-\theta_{23}$ correlation is shown, while in the right panel, we present the $\Gamma_{32}-\theta_{23}$ correlation. 2529029 4535 http://cds.cern.ch/record/2897123/files/gamma21_dcp.png 00017 Same as Fig. {\ref{fig:gamma_th23}}, but in the $\Gamma_{ij}-\delta_{\rm CP}$ planes. 2529030 68562 http://cds.cern.ch/record/2897123/files/pmue360.png 00000 Appearance (top panel) and disappearance (bottom panel) neutrino oscillation probabilities as a function of neutrino energy for the baseline $ L = 360$ km. The left (right) panels are for neutrino (anti-neutrino) cases. 2529031 11390 http://cds.cern.ch/record/2897123/files/chisq_gamma21_equal_gamma32_systm.png 00014 Constraints on the decoherence parameters namely \gsol and \gatm from the ESSnuSB experiment. The upper-left (right) panel gives a sensitivity limit on \gsol ($\Gamma_{32}$). Different colours correspond to the different values of systematic uncertainties, as reported in the legend. The dashed horizontal black lines represent the $90\%$ and $3\sigma$ levels. In the bottom plot we set $\Gamma_{21} = \Gamma_{32}$ in the test values. 2529032 5126 http://cds.cern.ch/record/2897123/files/gamma32_th23.png 00016 Effect of decoherence on $\theta_{23}$. In both panels, two distinct true values for the atmospheric angles have been chosen, $\theta^{\rm true}_{23}=42.2^\circ, 49.1^\circ$. On the left plot, the $\Gamma_{21}-\theta_{23}$ correlation is shown, while in the right panel, we present the $\Gamma_{32}-\theta_{23}$ correlation. 2529033 63482 http://cds.cern.ch/record/2897123/files/pmmbar360.png 00003 Appearance (top panel) and disappearance (bottom panel) neutrino oscillation probabilities as a function of neutrino energy for the baseline $ L = 360$ km. The left (right) panels are for neutrino (anti-neutrino) cases. 2529034 64374 http://cds.cern.ch/record/2897123/files/pmm360.png 00002 Appearance (top panel) and disappearance (bottom panel) neutrino oscillation probabilities as a function of neutrino energy for the baseline $ L = 360$ km. The left (right) panels are for neutrino (anti-neutrino) cases. 2529035 16196 http://cds.cern.ch/record/2897123/files/CPV_precision_vs_gamma__dcp_pm90_360.png 00022 $1\sigma$ precision of $\delta_{\rm CP}$ in \ess as a function of the decoherence parameter, for three different scenarios. Decoherence is present in both true and test data. The left (right) plot corresponds to the true values of $\delta_{\rm CP} = 0 {\rm~ and} ~180^0$ ($\pm 90^0$). 2529036 63799 http://cds.cern.ch/record/2897123/files/pmue_g21.png 00004 Appearance (top panel) and disappearance (bottom panel) neutrino oscillation probabilities as a function of neutrino energy for the baseline $ L = 360$ km. The left (right) panels are for the $\Gamma_{21}$ ($\Gamma_{32}$) case. 2529037 55585 http://cds.cern.ch/record/2897123/files/pmumu_g32.png 00007 Appearance (top panel) and disappearance (bottom panel) neutrino oscillation probabilities as a function of neutrino energy for the baseline $ L = 360$ km. The left (right) panels are for the $\Gamma_{21}$ ($\Gamma_{32}$) case. 2529038 60252 http://cds.cern.ch/record/2897123/files/pmue_g32.png 00005 Appearance (top panel) and disappearance (bottom panel) neutrino oscillation probabilities as a function of neutrino energy for the baseline $ L = 360$ km. The left (right) panels are for the $\Gamma_{21}$ ($\Gamma_{32}$) case. 2529039 4500 http://cds.cern.ch/record/2897123/files/gamma32_dcp.png 00018 Same as Fig. {\ref{fig:gamma_th23}}, but in the $\Gamma_{ij}-\delta_{\rm CP}$ planes. 2529040 4433 http://cds.cern.ch/record/2897123/files/gamma_CL_curve.png 00010 \textit{Left}: $3\sigma$ contour plot (for 2 dof) for the decoherence parameters \gsol and \gatm in ESSnuSB. Different colours correspond to the different values of systematic uncertainties, as reported in the legend. \textit{Right}: The expected precision of ESSnuSB in measuring the decoherence parameters for 5\% systematics. 2529041 177015 http://cds.cern.ch/record/2897123/files/event_app_360.png 00008 Total number of events as a function of the decoherence parameters $\Gamma_{21}$ and $\Gamma_{32}$ and for two choices of $\delta_{\rm CP}$, $0^\circ$ and $-90^\circ$. 2529042 11260 http://cds.cern.ch/record/2897123/files/chisq_gamma32_systm.png 00013 Constraints on the decoherence parameters namely \gsol and \gatm from the ESSnuSB experiment. The upper-left (right) panel gives a sensitivity limit on \gsol ($\Gamma_{32}$). Different colours correspond to the different values of systematic uncertainties, as reported in the legend. The dashed horizontal black lines represent the $90\%$ and $3\sigma$ levels. In the bottom plot we set $\Gamma_{21} = \Gamma_{32}$ in the test values. 2529043 59909 http://cds.cern.ch/record/2897123/files/pmuebar360.png 00001 Appearance (top panel) and disappearance (bottom panel) neutrino oscillation probabilities as a function of neutrino energy for the baseline $ L = 360$ km. The left (right) panels are for neutrino (anti-neutrino) cases. 2529044 1456604 http://cds.cern.ch/record/2897123/files/2404.17559.pdf Fulltext 2529045 51731 http://cds.cern.ch/record/2897123/files/CPV_sensitivity_360_true_test_same.png 00019 CP violation sensitivity of \ess for different values of decoherence parameters. Here both true and test hypotheses assume decoherence. 2529046 11485 http://cds.cern.ch/record/2897123/files/chisq_gamma21_systm.png 00012 Constraints on the decoherence parameters namely \gsol and \gatm from the ESSnuSB experiment. The upper-left (right) panel gives a sensitivity limit on \gsol ($\Gamma_{32}$). Different colours correspond to the different values of systematic uncertainties, as reported in the legend. The dashed horizontal black lines represent the $90\%$ and $3\sigma$ levels. In the bottom plot we set $\Gamma_{21} = \Gamma_{32}$ in the test values. 2551507 1246214 http://cds.cern.ch/record/2897123/files/document.pdf Fulltext 13 ARTICLE 2900900 SzGeCERN 20240909171136.0 DOI Elsevier B.V. 10.1016/j.nima.2024.169476 publication oai:cds.cern.ch:2900900 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2796264 2024-06-14T13:40:54Z 2024-06-15T04:00:06Z marcxml Inspire 2796264 eng Svihrova, Lucie CERN Prague, Tech. U. Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University, Prague, 11519, Czech Republic Elsevier B.V. Radiological clearance of historical waste from particle accelerators 2024 10 p Elsevier B.V. This paper presents a detailed methodology for reclassifying radioactive material from particle accelerators as non-radioactive, drawing on experiences at CERN. During particle accelerator decommissioning, the waste is classified based on its radioactivity level where the very-low-level activity material is the potential clearance candidate. Complying with the Swiss legislation, the waste must fulfil three criteria in order to be cleared. Before performing the radiological measurements, the waste must be processed (disassembled, cut, … ) due to its size and multi-material composition. To properly evaluate the measurement results, a detailed theoretical study must be performed providing information on e.g. expected radionuclides. As a part of quality assurance, the theoretical models are verified using gamma spectrometry measurements on waste samples. The presented methodology is supported by the summary of past and ongoing CERN projects as well as know-how learned by years of experience. •Developed a methodology for radiological clearance of accelerator radioactive material, compliant with Swiss regulations.•Identified viable material reprocessing techniques according to waste type.•Achieved environmental and financial benefits by saving at least 16000 tons of excavated earth through material recycling.•Reduced unnecessary use of long-term radioactive storage. publication CC BY 4.0 CERN-RP: Elsevier http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2024 SzGeCERN Accelerators and Storage Rings Elsevier B.V. Radiological clearance methodology Elsevier B.V. Radioactive waste Elsevier B.V. Particle accelerator Elsevier B.V. Gamma spectrometry Elsevier B.V. Ambient dose equivalent rate and contamination measurements ARTICLE CERN Bauer, Kerstin CERN Bruno, Luca CERN Dumont, Gerald CERN Magistris, Matteo CERN Menaa, Nabil CERN Silari, Marco CERN Ulrici, Luisa CERN 169476 publication Nucl. Instrum. Methods Phys. Res., A 1065 2024 2537778 1464676 http://cds.cern.ch/record/2900900/files/Publication.pdf Fulltext 13 ARTICLE 2899325 20250521125756.0 DOI Frontiers 10.3389/fphy.2024.1372846 oai:cds.cern.ch:2899325 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2312.13109 oai:inspirehep.net:2739191 https://inspirehep.net/api/oai2d Inspire 2025-03-06T04:06:45Z 2025-03-07T03:00:09Z marcxml true Inspire 2739191 arXiv arXiv:2312.13109 physics.ins-det eng Golm, Jessica jessica.golm@cern.ch CERN Jena U. CERN—European Organization for Nuclear Research, Switzerland Institute for Optics and Quantum Electronics, Germany Frontiers Split-cavity tuning of a rectangular axion haloscope operating around 8.4 GHz 2024-04-09 2023-12-20 20 p Frontiers The axion haloscope is the currently most sensitive method to probe the vanishingly small coupling of this prominent Dark Matter candidate to photons. To scan a sizeable axion Dark Matter parameter space, the cavities that make up the haloscope need to be tuned efficiently. In this article, we describe a novel technique to tune axion haloscopes around 8.4 GHz in a purely mechanical manner without the use of dielectrics. We achieve tuning by introducing a gap along the cavity geometry. A quality factor reduction of less than 20 % is achieved experimentally for a tuning range of around 600 MHz at room temperature and at cryogenic temperatures for around 300 MHz. A larger tuning range would require an improved alignments mechanism. We present the results of a corresponding prototype and outline prospects to further develop this technique. arXiv The axion haloscope is the currently most sensitive method to probe the vanishingly small coupling of this prominent Dark Matter candidate to photons. To scan a sizeable axion Dark Matter parameter space, the cavities that make up the haloscope need to be tuned efficiently. In this article, we describe a novel technique to tune axion haloscopes around $8.4$~GHz in a purely mechanical manner without the use of dielectrics. We achieve tuning by introducing a gap along the cavity geometry. A quality factor reduction of less than 20% is achieved experimentally for a tuning range of around 600~MHz at room temperature and at cryogenic temperatures for around 300~MHz. A larger tuning range would require an improved alignments mechanism. We present the results of a corresponding prototype and outline prospects to further develop this technique. publication CC-BY-4.0 Frontiers CERN-APC DAI/10320107 http://creativecommons.org/licenses/by/4.0/ preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication Golm, García-Barcelo, Arguedas Cuendis, Calatroni, Wuensch and Dobrich 2024 DOKIFILE:frontiers.144-2230 L 2023-12-28 abs L 2023-12-31 printed arXiv hep-ex SzGeCERN Particle Physics - Experiment arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques CERN ARTICLE García-Barceló, Jose María Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Germany Arguedas Cuendis, Sergio CERN CERN—European Organization for Nuclear Research, Switzerland Calatroni, Sergio CERN CERN—European Organization for Nuclear Research, Switzerland Wuensch, Walter CERN CERN—European Organization for Nuclear Research, Switzerland Döbrich, Babette Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Germany 1372846 Front. Phys. 12 2024 2533913 15103 http://cds.cern.ch/record/2899325/files/VC_zAxisTilt.png 00008 Misalignment effect in the vertical cut haloscope for three scenarios: angular $y-$axis (top left), angular $z-$axis (top right), and lineal $y-$axis (bottom). 2533914 711418 http://cds.cern.ch/record/2899325/files/tuning_partspic.png 00021 Drawings of the cavity support structure with (a) holding piece for the cavity halves, (b) the sliding structure for alignment, (c) the assembly of the sliding structure, and (d) the complete assembly with the gear system. 2533915 8682 http://cds.cern.ch/record/2899325/files/Freq_and_Q0VVCC_inPercentage_vs_Thetaz_CST_Critical.png 00014 Results obtained in the simulation of the misalignment study in the angular $y-$axis (first column), in the angular $z-$axis (second column), and in the lineal $y-$axis (third column). The first row of graphs shows the variation of the quality and form factors versus the variation of the misalignment variable. The second row plots the variation in frequency and figure of merit $Q_0V^2C^2$ versus misalignment. The quality factor and figure of merit parameters are given in terms of the percentage change from the aligned scenarios ($\theta_y = \theta_z = g_y = 0$). 2533916 179557 http://cds.cern.ch/record/2899325/files/Tuning_3MHzsteps.png 00025 Tuning range measured with the cavity embedded in the sliding structure at $20$~K with maximum gap size (blue) and without gap (red) (left). Zoom in on the first cavity peak (axion mode) for a selected set of cavity openings, demonstrating the minimum step size achieved for this measurement. 2533917 8238 http://cds.cern.ch/record/2899325/files/Q0_and_C_vs_gap_CST.png 00005 Results from CST simulations for the vertical cut tuning study applied in the haloscope depicted in Figure~\ref{fig:5Iris_vs_tuning} (right): frequency and tuning versus gap (left), unloaded quality and form factors versus gap (centre), and volume and figure of merit ($Q_0V^2C^2$) versus gap (right). 2533918 151758 http://cds.cern.ch/record/2899325/files/Photo_tuning_2.png 00020 Photographs of the cavity halves installed in the tuning holding structure with gears. Top view with RF ports (left) and bottom view (right). The bottom view displays the gear mechanism that moves the cavity halves to each other. 2533919 8099584 http://cds.cern.ch/record/2899325/files/2312.13109.pdf Fulltext 2533920 15475 http://cds.cern.ch/record/2899325/files/VC_CoaxPortsCentred.png 00027 (Left) 3D model of the vertical cut structure with gap$ = 2$~mm applying symmetry with the coaxial ports laying in the middle of the gap (centred at gap$/2 = 1$~mm), and (Right) quality factor results from CST simulations for this structure without (blue solid line) and with (red dashed line) centring the coaxial ports. 2533921 5308887 http://cds.cern.ch/record/2899325/files/outside_tuning.png 00016 Photograph of the vertical cut haloscope coated with copper before assembly and brass spacers (top) and after assembly with a gap between the two halves introduced with stainless steel washer spacer (bottom). Note that for the characterisation both ports were attached to one cavity half unlike shown on the picture in which each port is attached to another cavity half. 2533922 9138 http://cds.cern.ch/record/2899325/files/V_and_Q0VVCC_vs_gap_CST.png 00006 Results from CST simulations for the vertical cut tuning study applied in the haloscope depicted in Figure~\ref{fig:5Iris_vs_tuning} (right): frequency and tuning versus gap (left), unloaded quality and form factors versus gap (centre), and volume and figure of merit ($Q_0V^2C^2$) versus gap (right). 2533923 9458 http://cds.cern.ch/record/2899325/files/Freq_and_Q0VVCC_inPercentage_vs_gy_CST.png 00015 Results obtained in the simulation of the misalignment study in the angular $y-$axis (first column), in the angular $z-$axis (second column), and in the lineal $y-$axis (third column). The first row of graphs shows the variation of the quality and form factors versus the variation of the misalignment variable. The second row plots the variation in frequency and figure of merit $Q_0V^2C^2$ versus misalignment. The quality factor and figure of merit parameters are given in terms of the percentage change from the aligned scenarios ($\theta_y = \theta_z = g_y = 0$). 2533924 17890 http://cds.cern.ch/record/2899325/files/VC_CoaxPortsCentred_Q0_vs_gap_CST.png 00028 (Left) 3D model of the vertical cut structure with gap$ = 2$~mm applying symmetry with the coaxial ports laying in the middle of the gap (centred at gap$/2 = 1$~mm), and (Right) quality factor results from CST simulations for this structure without (blue solid line) and with (red dashed line) centring the coaxial ports. 2533925 7638 http://cds.cern.ch/record/2899325/files/Q0_inPercentage_and_C_vs_Thetaz_CST_Critical.png 00011 Results obtained in the simulation of the misalignment study in the angular $y-$axis (first column), in the angular $z-$axis (second column), and in the lineal $y-$axis (third column). The first row of graphs shows the variation of the quality and form factors versus the variation of the misalignment variable. The second row plots the variation in frequency and figure of merit $Q_0V^2C^2$ versus misalignment. The quality factor and figure of merit parameters are given in terms of the percentage change from the aligned scenarios ($\theta_y = \theta_z = g_y = 0$). 2533926 62437 http://cds.cern.ch/record/2899325/files/VC_3Dmodel.png 00003 Left: Mode pattern with symmetry plane. The fabrication is done in two halves defined by this symmetry plane. 3D model housing of the vertical cut inductive irises cavity to be manufactured (right). This piece is one of the two symmetrical halves, which must be parallel. SMA coaxial ports are situated at the $\varnothing4.1$ holes. Dimensions given in Table~\ref{tab:VC_dimensions}. 2533927 3198603 http://cds.cern.ch/record/2899325/files/document.pdf Fulltext 2533928 10572 http://cds.cern.ch/record/2899325/files/Freq_and_Tuning_vs_gap_CST.png 00004 Results from CST simulations for the vertical cut tuning study applied in the haloscope depicted in Figure~\ref{fig:5Iris_vs_tuning} (right): frequency and tuning versus gap (left), unloaded quality and form factors versus gap (centre), and volume and figure of merit ($Q_0V^2C^2$) versus gap (right). 2533929 8315 http://cds.cern.ch/record/2899325/files/Q0_inPercentage_and_C_vs_gy_CST.png 00012 Results obtained in the simulation of the misalignment study in the angular $y-$axis (first column), in the angular $z-$axis (second column), and in the lineal $y-$axis (third column). The first row of graphs shows the variation of the quality and form factors versus the variation of the misalignment variable. The second row plots the variation in frequency and figure of merit $Q_0V^2C^2$ versus misalignment. The quality factor and figure of merit parameters are given in terms of the percentage change from the aligned scenarios ($\theta_y = \theta_z = g_y = 0$). 2533930 452272 http://cds.cern.ch/record/2899325/files/Ch4__sym_plane.png 00002 Left: Mode pattern with symmetry plane. The fabrication is done in two halves defined by this symmetry plane. 3D model housing of the vertical cut inductive irises cavity to be manufactured (right). This piece is one of the two symmetrical halves, which must be parallel. SMA coaxial ports are situated at the $\varnothing4.1$ holes. Dimensions given in Table~\ref{tab:VC_dimensions}. 2533931 109655 http://cds.cern.ch/record/2899325/files/Tuning_300K.png 00022 Tuning range measured with the cavity embedded in the sliding structure at ambient conditions (left) and in liquid nitrogen (right) with a maximum gap size of $2.5$~mm (blue) and no gap (red). At $77$~K disturbances of the spectra due to the boiling of liquid nitrogen are visible, most clearly for the second cavity peak in the spectra of the cavity with a $2.5$~mm gap. 2533932 8555 http://cds.cern.ch/record/2899325/files/Q0_inPercentage_and_C_vs_Thetay_CST_Critical.png 00010 Results obtained in the simulation of the misalignment study in the angular $y-$axis (first column), in the angular $z-$axis (second column), and in the lineal $y-$axis (third column). The first row of graphs shows the variation of the quality and form factors versus the variation of the misalignment variable. The second row plots the variation in frequency and figure of merit $Q_0V^2C^2$ versus misalignment. The quality factor and figure of merit parameters are given in terms of the percentage change from the aligned scenarios ($\theta_y = \theta_z = g_y = 0$). 2533933 103029 http://cds.cern.ch/record/2899325/files/Tuning_77K.png 00023 Tuning range measured with the cavity embedded in the sliding structure at ambient conditions (left) and in liquid nitrogen (right) with a maximum gap size of $2.5$~mm (blue) and no gap (red). At $77$~K disturbances of the spectra due to the boiling of liquid nitrogen are visible, most clearly for the second cavity peak in the spectra of the cavity with a $2.5$~mm gap. 2533934 2241054 http://cds.cern.ch/record/2899325/files/Cryolab_setup.png 00019 Cavity tuning test stand in the CERN Central Cryogenic laboratory with adjusting screw and rod (red), RF cables (green), temperature sensor (yellow), and the cavity (grey). 2533935 12280 http://cds.cern.ch/record/2899325/files/VC_yAxisTilt.png 00007 Misalignment effect in the vertical cut haloscope for three scenarios: angular $y-$axis (top left), angular $z-$axis (top right), and lineal $y-$axis (bottom). 2533936 94493 http://cds.cern.ch/record/2899325/files/Tuning_20K.png 00024 Tuning range measured with the cavity embedded in the sliding structure at $20$~K with maximum gap size (blue) and without gap (red) (left). Zoom in on the first cavity peak (axion mode) for a selected set of cavity openings, demonstrating the minimum step size achieved for this measurement. 2533937 81763 http://cds.cern.ch/record/2899325/files/Q0_all_3and4_new.png 00018 Unloaded quality factor $Q_0$ and resonant frequency for different gap sizes which were generated by spacers from washers (left) and $Q_0$ of the cavity between $7$ and $300$~K for gap sizes of $0$ (red) and $1.25$~mm (blue) using brass spacers (right). 2533938 13722 http://cds.cern.ch/record/2899325/files/VC_gy.png 00009 Misalignment effect in the vertical cut haloscope for three scenarios: angular $y-$axis (top left), angular $z-$axis (top right), and lineal $y-$axis (bottom). 2533939 11126 http://cds.cern.ch/record/2899325/files/Freq_and_Q0VVCC_inPercentage_vs_Thetay_CST_Critical.png 00013 Results obtained in the simulation of the misalignment study in the angular $y-$axis (first column), in the angular $z-$axis (second column), and in the lineal $y-$axis (third column). The first row of graphs shows the variation of the quality and form factors versus the variation of the misalignment variable. The second row plots the variation in frequency and figure of merit $Q_0V^2C^2$ versus misalignment. The quality factor and figure of merit parameters are given in terms of the percentage change from the aligned scenarios ($\theta_y = \theta_z = g_y = 0$). 2533940 81470 http://cds.cern.ch/record/2899325/files/QQ_cryo_tuning.png 00026 Unloaded quality factor ($Q_0$) of the cavity for different gap sizes generated by the tuning mechanism (yellow) and by spacers (blue) measured at cryogenic temperatures below $20$~K. 2533941 94447 http://cds.cern.ch/record/2899325/files/SchematicsTuning.png 00000 Schematics of the tuning concept. The left side shows the cavity in the closed position with no gap and at its highest resonant frequency. On the right side, a gap was introduced between the two cavity halves, tuning the cavity to a lower frequency depending on the gap size. 2533942 89114 http://cds.cern.ch/record/2899325/files/Ch4_modePattern.png 00001 Electric field pattern for the five electromagnetic modes of the cavity. Red colour refers to a maximum and blue colour to a minimum in the electric field. Taken from \cite{RADES_paper1}. 2533943 79379 http://cds.cern.ch/record/2899325/files/Q0_frequency_warm.png 00017 Unloaded quality factor $Q_0$ and resonant frequency for different gap sizes which were generated by spacers from washers (left) and $Q_0$ of the cavity between $7$ and $300$~K for gap sizes of $0$ (red) and $1.25$~mm (blue) using brass spacers (right). 2717491 451416 http://cds.cern.ch/record/2899325/files/2024_300K_meas_simulationQ2.png 00017 Comparison of measurement with uncertainty (blue) and simulation (black) of the unloaded quality factor $Q_0$ (left) and the resonant frequency (right) for different gap openings. For the simulations a copper conductivity at room temperature of $5.8\times10^7$~$S/m$ was assumed. 2717492 496908 http://cds.cern.ch/record/2899325/files/2024_Q0_f_300K_meas_simulationF2.png 00018 Comparison of measurement with uncertainty (blue) and simulation (black) of the unloaded quality factor $Q_0$ (left) and the resonant frequency (right) for different gap openings. For the simulations a copper conductivity at room temperature of $5.8\times10^7$~$S/m$ was assumed. 2717493 458831 http://cds.cern.ch/record/2899325/files/QQ_cryo_tuning2.png 00026 Unloaded quality factor ($Q_0$) of the cavity for different gap sizes generated by the tuning mechanism (yellow), by spacers (blue) and without tuning (red) measured at cryogenic temperatures below $20$~K. 2717494 588436 http://cds.cern.ch/record/2899325/files/tuning_assembly2.png 00021 Drawings of the cavity support structure with (a) holding piece for the cavity halves, (b) the sliding structure for alignment, (c) the assembly of the sliding structure, and (d) the complete assembly with the gear system. 13 ARTICLE 2905852 20250214160219.0 oai:cds.cern.ch:2905852 cerncds:FULLTEXT ATL-MUON-SLIDE-2024-275 eng ATL-COM-MUON-2024-036 AUTHOR|(CDS)2086470 AUTHOR|(SzGeCERN)743236 Simsek, Sinem sinem.sahin@cern.ch Istinye University (TR) The ATLAS collaboration MITIGATION OF THE ATLAS RPC ENVIRONMENTAL IMPACT 2024 Geneva CERN 30 Jul 2024 22 p ATLAS RPC detectors have been operated with a gas mixture selected after an extensive R&D work and consisting of 94.7% C2H2F4, 5.% i-C4H10, and 0.3% SF6. The gas mixture has a high environmental impact, having a Global Warming Potential (GWP) of about 1400. So all possible measures to reduce its dispersion into the atmosphere should be put in place. The contribution of RPC detectors to global warming has become more evident due to gas leakage issues experienced in ATLAS. Almost 4000 RPC chambers located in the ATLAS cavern are being damaged due to the high sensitivity of the materials used for gas inlets. The proposed solutions or mitigations of the problem ranging from the repair and prevention of detector leaks to the replacement of the actual gas with environmental friendly mixtures will be presented. The measures already implemented and the ongoing studies with new mixtures will be also shown. SLIDE CERN CDS-Invenio WebSubmit SzGeCERN Particle Physics - Experiment SzGeCERN Muon CERN ATLAS-RPC CERN ECOGAS CERN INTNOTE PRIVATLAS PUBLATLASSLIDE CERN LHC ATLAS PH-EP ATLAS Collaboration http://cds.cern.ch/record/2903635 Original Communication (restricted to ATLAS) 2548786 2752280 http://cds.cern.ch/record/2905852/files/ATL-MUON-SLIDE-2024-275.pdf sinem.sahin@cern.ch giulio.aielli@cern.ch davide.boscherini@cern.ch n 202470 91 2900723 ATL-MUON-PROC-2024-014 prague20240718 PUBLIC 000783642CER PUBLATLASSLIDE Slides 2905816 20251201182607.0 oai:cds.cern.ch:2905816 cerncds:TALK eng Indico 18001 CERN. Geneva Digital Twins: introduction and use cases CERN - 31/3-004 - IT Amphitheatre 2024-07-29T13:30:00 2024-07-29T15:30:00 1392505 Digital Twins: introduction and use cases 2024 2024-07-29 4288 Streaming video CERN openlab summer student lecture programme 2024-07-29T13:30:00 <!--HTML--><h2>Abstract</h2> <p><br>interTwin is an EC-funded project that seeks to harness the potential of 'Digital Twins' in a diverse range of scientific fields within earth observation and physics. The project's core modules offer essential capabilities for the development and management of data-driven and compute-intensive applications. These capabilities include workflow composition, data fusion, AI workflow and method lifecycle management, real-time acquisition and data analytics, as well as validation, verification, and uncertainty tracing to ensure model quality. A key focus of interTwin is to establish seamless communication and interoperability among High Performance Computing (HPC), High Throughput Computing (HTC), and cloud resource providers. The project aims to establish consistent security measures, access policies, and resource accounting mechanisms to simplify resource access across different computing infrastructures. By doing so, interTwin aims to facilitate efficient and effective resource utilization for the advancement of scientific research and development in earth observation and physics.</p> <p> </p> <h2>Bio</h2> <p><br>Alexander Zoechbauer graduated with a MSc in Information Technology from ETH Zürich. Afterwards, he worked at the European Space Agency developing models for 3D asteroid surface reconstruction and computer vision algorithms for the HERA mission. He followed this up with a Fellow position at the CERN openlab working on InterTwin – an interdisciplinary Digital Twin Engine for Science, after which he rejoined the ESA. His research interest is especially focused on the intersection of computer science with other scientific disciplines, such as nanophotonics, transportation, aerospace and high-energy physics.</p> <p>Kalliopi Tsolaki received a BSc on Mathematics from the Aegean University in Greece. She also holds a MSc degree οn Digital Media &amp; Computational Intelligence from the Department of Informatics at Aristotle University of Thessaloniki. Since September 2022 Kalliopi works at CERN as an IT fellow having the role of a Data Scientist, contributing on projects involving Machine Learning applications in Physics. Prior joining CERN she worked in IT research, as well as in the consulting industry. She is currently involved with the development of a digital twin for particle detector simulations leveraging ML, in the framework of interTwin project. interTwin is an innovative project that builds a Digital Twin Engine incorporating a variety of digital twin applications from the physics and environmental domains.</p> CERN 2024 CERN openlab summer student lecture programme Event TALK CERN Zoechbauer, Alexander speaker CERN Tsolaki, Kalliopi speaker CERN https://indico.cern.ch/event/1392505/ Event details MediaArchive /mnt/master_share/master_data/2024/1392505 Absolute master path MediaArchive https://lecturemedia.cern.ch/2024/1392505/1392505-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 112113 MediaArchive https://lecturemedia.cern.ch/2024/1392505/1392505-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1190888 MediaArchive https://lecturemedia.cern.ch/2024/1392505/1392505-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 678011 MediaArchive https://lecturemedia.cern.ch/2024/1392505/1392505-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 261865 MediaArchive https://lecturemedia.cern.ch/2024/1392505/1392505-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 275066 MediaArchive https://lecturemedia.cern.ch/2024/1392505/1392505-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 92082 MediaArchive https://lecturemedia.cern.ch/2024/1392505/1392505-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 2620156 MediaArchive https://lecturemedia.cern.ch/2024/1392505/1392505-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 884091 fariza.oulashova@cern.ch Zoechbauer, Alexander CERN Tsolaki, Kalliopi CERN 2024-03-07T15:45:22 2024-07-30T09:44:46 PUBLIC INDICO.1392505 https://videos.cern.ch/legacy/record/2905816 Indico TALK MIGRATED 2905754 20251201182557.0 oai:cds.cern.ch:2905754 cerncds:TALK eng Indico 18001 CERN. Geneva Foundation models CERN - 31/3-004 - IT Amphitheatre 2024-07-26T13:30:00 2024-07-26T15:30:00 1397535 Foundation models 2024 2024-07-26 7111 Streaming video CERN openlab summer student lecture programme 2024-07-26T13:30:00 <!--HTML--><h2>Description</h2> <div>Foundation models, also known as large-scale self-supervised models, have revolutionized the field of artificial intelligence. These models, such as ChatGPT and AlphaFold, are pre-trained on massive amounts of data and can be fine-tuned for a wide range of downstream tasks. In this lecture, we’ll explore the key concepts behind foundation models and their impact on machine learning systems. In particular we will give a brief overview of the points below:</div> <div> </div> <ol> <li>What are foundation models? Challenges and opportunities.</li> <li>Strategies for training foundation models : self-supervision and pre-training. </li> <li>How to reach adaptability and fine tuning.</li> <li>Some examples </li> </ol> <h2>Bio</h2> <p>Ilaria Luise is a Senior Research Fellow at CERN, the European Center for Nuclear Research in Geneva. She works as a physicist within the Innovation Division at the CERN IT-Department. Her background is in experimental physics and big data management. She is Co-PI of the AtmoRep project, which is part of the CERN Innovation Programme on Environmental Applications (CIPEA). The project aims at building a foundation model for atmospheric dynamics in collaboration with ECMWF and the Jülich Supercomputing Center.</p> <p>Sofia is a CERN physicist with extensive experience in software development in the high-energy physics domain, particularly in deep learning and quantum computing applications within CERN openlab. She has a PhD in physics obtained at the University of Geneva. Prior to joining CERN openlab, Sofia was responsible for the development of deep-learning-based technologies for the simulation of particle transport through detectors at CERN. She also worked to optimise the GeantV detector simulation prototype on modern hardware architectures. </p> CERN 2024 CERN openlab summer student lecture programme Event TALK CERN Vallecorsa, Sofia speaker CERN Luise, Ilaria speaker CERN https://indico.cern.ch/event/1397535/ Event details MediaArchive /mnt/master_share/master_data/2024/1397535 Absolute master path MediaArchive https://lecturemedia.cern.ch/2024/1397535/1397535-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 89379 MediaArchive https://lecturemedia.cern.ch/2024/1397535/1397535-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 996120 MediaArchive https://lecturemedia.cern.ch/2024/1397535/1397535-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 557258 MediaArchive https://lecturemedia.cern.ch/2024/1397535/1397535-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 209644 MediaArchive https://lecturemedia.cern.ch/2024/1397535/1397535-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1001747 MediaArchive https://lecturemedia.cern.ch/2024/1397535/1397535-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 2830760 MediaArchive https://lecturemedia.cern.ch/2024/1397535/1397535-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 97561 MediaArchive https://lecturemedia.cern.ch/2024/1397535/1397535-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 302011 fariza.oulashova@cern.ch Vallecorsa, Sofia CERN Luise, Ilaria CERN 2024-03-21T09:29:07 2024-07-29T16:59:34 PUBLIC INDICO.1397535 https://videos.cern.ch/legacy/record/2905754 Indico TALK MIGRATED 2905714 20250214164519.0 oai:cds.cern.ch:2905714 cerncds:FULLTEXT ATL-MUON-SLIDE-2024-266 eng ATL-COM-MUON-2024-040 AUTHOR|(CDS)2677565 AUTHOR|(SzGeCERN)840612 Ballabene, Eric eric.ballabene@cern.ch Universita e INFN, Bologna (IT) The ATLAS collaboration Performance of ATLAS RPC detectors and L1 Muon Barrel Trigger with a new CO2-based gas mixture 2024 Geneva CERN 29 Jul 2024 mult. p Resistive Plate Chambers are used in the ATLAS experiment for triggering muons in the barrel region. These detectors use a Freon-based gas mixture containing C2H2F4 and SF6, high global warming potential greenhouse gases. To reduce the greenhouse gas emissions and cost, it is crucial to search for new environmentally friendly gas mixtures. In August 2023, at the end of the proton-proton data-taking campaign, ATLAS collaboration decided to replace the standard gas mixture (94.7%, C2H2F4, 5.0% i-C4H10, 0.3% SF6) with a new CO2-based gas mixture: 64% C2H2F4, 30% CO2, 5.0% i-C4H10, 1% SF6. The performance of the RPC detectors with the new gas mixture will be presented with a particular emphasis on detector efficiency, cluster size and timing performance, as well as the efficiency of the L1 Muon Barrel trigger system. SLIDE CERN CDS-Invenio WebSubmit SzGeCERN Particle Physics - Experiment SzGeCERN Muon CERN INTNOTE PRIVATLAS PUBLATLASSLIDE CERN LHC ATLAS PH-EP ATLAS Collaboration http://cds.cern.ch/record/2904175 Original Communication (restricted to ATLAS) 2548477 5786394 http://cds.cern.ch/record/2905714/files/ATL-MUON-SLIDE-2024-266.pdf eric.ballabene@cern.ch n 202470 91 2900723 ATL-MUON-PROC-2024-010 prague20240718 PUBLIC 000783627CER PUBLATLASSLIDE Slides 2904936 20240719232523.0 oai:cds.cern.ch:2904936 cerncds:FULLTEXT LHCb-TALK-2024-150 eng Jakobsen, Sune AUTHOR|(CDS)2108834 AUTHOR|(SzGeCERN)676028 CERN Sune.Jakobsen@cern.ch Environmentally friendly fluids for detector cooling in LHCb 2024 CERN Geneva 2024-07-19 Sune.Jakobsen@cern.ch LHCb CERN Talk CERN LHCbTALK 2546562 2423985 http://cds.cern.ch/record/2904936/files/S. Jakobesen ICHEP talk.pdf 2546562 73512 http://cds.cern.ch/record/2904936/files/S. Jakobesen ICHEP talk.jpg?subformat=icon-180 icon-180 2546562 78845 http://cds.cern.ch/record/2904936/files/S. Jakobesen ICHEP talk.gif?subformat=icon icon lhcb.secretariat@cern.ch 2900723 prague20240718 PUBLIC LHCbCERNTALK Slides 2903430 SzGeCERN 20240724160841.0 DOI 10.1093/oso/9780198881193.003.0013 oai:cds.cern.ch:2903430 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2793977 2024-07-04T13:23:51Z 2024-07-05T05:21:15Z marcxml Inspire 2793977 eng Shah, Faiz submitter Well-ordered big science, innovation, and social entrepreneurship 2024 22 p submitter The paper examines how Big Science, as public capital, gives rise to innovation that can impact wellbeing and the role of entrepreneurship in contributing to wealth and development. The chapter explores the existing connection between scientific discovery, human capital, social enterprise, and entrepreneurship. Entrepreneurship, social responsibility, and global equity surfaced during the recent Covid-19 pandemic, and the rapid deployment of physics and biological knowledge has contributed to the deployment of collective solutions. Using sociological, humanitarian, and managerial frameworks, the chapter connects science with society and explores the cross-connection and methodologies in dealing with complex knowledge-related, social and environmental issues and the ethical concerns that confront contemporary societies and human societies in the world. CC-BY-NC-ND-4.0 https://creativecommons.org/licenses/by-nc-nd/4.0/ The authors 2024 INSPIRE Science in General ARTICLE CERN Bressan, Beatrice Garcia Tello, Pablo CERN Streit-Bianchi, Marilena Liyanage, Shantha 287-308 Big science, innovation, and societal contributions: The organisations and collaborations in big science experiments, Shantha Liyanage (ed. ) et al., Oxford University Press 2024 2542781 4337866 http://cds.cern.ch/record/2903430/files/oso-9780198881193-chapter-13.pdf Fulltext 13 2896764 287-308 BOOK ARTICLE BookChapter 2908458 20250120183550.0 oai:cds.cern.ch:2908458 cerncds:FULLTEXT CERN-STUDENTS-Note-2024-092 eng Tietz, Valentin AUTHOR|(CDS)2897566 AUTHOR|(SzGeCERN)876979 CERN valentin.tietz@cern.ch Atlas ITk Common Electronics Qualification 2024 CERN Geneva 30 Aug 2024 This report contains all the activities carried out at CERN as part of my Summer Studentship with the ATLAS team. Various tests have been conducted to validate the proper functioning of different BCM sensor components, including the LAPA and CALYPSO chips, as well as the bPol, optoboard, and Power Flex. Additionally, work was carried out to test and improve the EMRB, a board used for reading and storing data for the ATLAS ITk Environmental Temperature Monitoring system. CERN EDS SzGeCERN Engineering SzGeCERN Particle Physics - Experiment ITk CERN ITk common CERN EMRB CERN bPol CERN BCM CERN LAPA CERN CERN INTNOTE PUBLEP ATLAS EP CERN. Geneva. EP Department http://cds.cern.ch/record/2908458/files/Summer_Student_Report (3).pdf Access to fulltext 2553890 5191760 valentin.tietz@cern.ch Solans, C. Siral, I. n 202435 12 PUBLIC https://repository.cern/legacy/record/2908458 INTNOTEEPPUBL NOTE MIGRATED 2907467 20251201182557.0 oai:cds.cern.ch:2907467 cerncds:TALK eng Indico 3080 CERN. Geneva CAS course on "Normal- and Superconducting Magnets", 19 November - 02 December 2023, St. Pölten, Austria - 2023-12-01T08:30:00 2023-12-01T09:30:00 1227234c61 Powering infrastructures 2023 2023-12-01 2960 Streaming video CERN Accelerator School CAS course on "Normal- and Superconducting Magnets", 19 November - 02 December 2023, St. Pölten, Austria 2023-12-01T08:30:00 <!--HTML-->Power converters play a central role in particle accelerators where both their performances are directly linked. As accelerator complexes develop towards higher beam energies and a more sustainable nature, in response to the needs of physics research and of reducing the environmental impact, power converters are required to be on the forefront of technology. They have proliferated into accelerator complexes where thousands of them are used in modern complexes as at CERN. They must, therefore, achieve high reliability and in many cases cutting-edge precision. Hence, powering normal and superconducting magnets for accelerators is a driving force for the development of high-performance power converters. This lecture intends to introduce the requirements of power converters for magnets used in particle accelerators. After showing the power conversion principles, it describes the role of power converters, the challenges and constraints when powering superconducting magnets. The principles of redundancy and modularity are discussed in this lecture in addition to the power converter control and high precision definition. More sustainable installations would need a better management of electromagnetic energies used in accelerator complexes. This lecture shows, therefore, the latest tendencies in terms of energy storage for power converters and lists the key circuit parameters to be taken into consideration to properly specify a power converter. Finally, it describes a variety of ancillary systems and infrastructure to connect the power converters to the magnets in particle accelerators. CERN 2023 CERN Accelerator School Event TALK CERN Yammine, Samer speaker CERN https://indico.cern.ch/event/1227234/contributions/5601401/ Talk details https://indico.cern.ch/event/1227234/ Event details MediaArchive /mnt/master_share/master_data/2023/1227234c61 Absolute master path MediaArchive https://lecturemedia.cern.ch/2023/1227234c61/1227234c61-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 829031 MediaArchive https://lecturemedia.cern.ch/2023/1227234c61/1227234c61-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 98535 MediaArchive https://lecturemedia.cern.ch/2023/1227234c61/1227234c61-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1906286 MediaArchive https://lecturemedia.cern.ch/2023/1227234c61/1227234c61-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 331875 MediaArchive https://lecturemedia.cern.ch/2023/1227234c61/1227234c61-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3328882 MediaArchive https://lecturemedia.cern.ch/2023/1227234c61/1227234c61-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 97124 MediaArchive https://lecturemedia.cern.ch/2023/1227234c61/1227234c61-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 474776 MediaArchive https://lecturemedia.cern.ch/2023/1227234c61/1227234c61-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1200068 delphine.rivoiron@cern.ch Tecker, Frank CERN Ballarino, Amalia CERN 2022-11-30T11:02:08 2024-08-20T10:42:21 PUBLIC INDICO.1227234c61 https://videos.cern.ch/legacy/record/2907467 Indico SSW MIGRATED 2907235 20251201182732.0 oai:cds.cern.ch:2907235 cerncds:TALK eng Indico 17520 CERN. Geneva CERN openlab Summer Student Lightning Talks (1/2) CERN - 31/3-004 - IT Amphitheatre 2024-08-12T15:56:00 2024-08-12T16:03:00 1440813c7 Hyperparameter optimization studies of an environmental use-case with InterTwin. 2024 2024-08-12 529 Streaming video CERN openlab Summer Student Programme 2024 CERN openlab Summer Student Lightning Talks (1/2) 2024-08-12T15:56:00 <!--HTML-->In this study, we explore the effect of tuning hyperparameters in order to achieve the best model performance on an environmental AI-based model for drought predictions in the Alps developed by EURAC Trento in the context of InterTwin under the InterTwin Project. We begin with a brief introduction of both interTwin and the environmental use case, followed by a comparative analysis of different hyperparameter combinations, showcasing their impact on model accuracy, computational efficiency and overall predictive capability. CERN 2024 CERN openlab Summer Student Programme 2024 Event TALK CERN Mulaye, Dorcas speaker https://indico.cern.ch/event/1440813/contributions/6084832/ Talk details https://indico.cern.ch/event/1440813/ Event details MediaArchive /mnt/master_share/master_data/2024/1440813c7 Absolute master path MediaArchive https://lecturemedia.cern.ch/2024/1440813c7/1440813c7-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 87551 MediaArchive https://lecturemedia.cern.ch/2024/1440813c7/1440813c7-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 210744 MediaArchive https://lecturemedia.cern.ch/2024/1440813c7/1440813c7-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 918236 MediaArchive https://lecturemedia.cern.ch/2024/1440813c7/1440813c7-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 519318 MediaArchive https://lecturemedia.cern.ch/2024/1440813c7/1440813c7-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 120117 MediaArchive https://lecturemedia.cern.ch/2024/1440813c7/1440813c7-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1197791 MediaArchive https://lecturemedia.cern.ch/2024/1440813c7/1440813c7-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 375255 MediaArchive https://lecturemedia.cern.ch/2024/1440813c7/1440813c7-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3120013 fariza.oulashova@cern.ch 2024-07-23T08:40:49 2024-08-15T16:05:38 PUBLIC INDICO.1440813c7 https://videos.cern.ch/legacy/record/2907235 Indico TALK MIGRATED 2906880 20251201182648.0 oai:cds.cern.ch:2906880 cerncds:TALK eng Indico 17520 CERN. Geneva CERN openlab Summer Student Lightning Talks (1/2) CERN - 31/3-004 - IT Amphitheatre 2024-08-12T16:45:00 2024-08-12T16:52:00 1440813c14 Distributed Machine Learning-based digital twins modelling 2024 2024-08-12 694 Streaming video CERN openlab Summer Student Programme 2024 CERN openlab Summer Student Lightning Talks (1/2) 2024-08-12T16:45:00 <!--HTML-->In response to the significant engineering challenges hindering scientific research, CERN and European research institutes are pioneering a standardized digital twin framework to streamline and enhance the efficiency of scientific workflows. This talk will detail the development of advanced machine learning (ML) solutions at CERN, focusing on distributing model training and automating MLOps across high-performance computing (HPC) infrastructures. Key initiatives include integrating distributed deep learning and hyper-parameter optimization tools into traditional ML training workflows for optimal deployment and management. As a summer student, I am involved in applying and validating the ML Digital Twin Framework(itwinai) across diverse digital twin applications, from high-energy physics to environmental monitoring. This presentation will highlight my experiences with leading ML frameworks such as PyTorch, showcasing their impact on accelerating scientific innovation in digital twin technology. CERN 2024 CERN openlab Summer Student Programme 2024 Event TALK CERN Mutegeki, Henry speaker https://indico.cern.ch/event/1440813/contributions/6084929/ Talk details https://indico.cern.ch/event/1440813/ Event details MediaArchive /mnt/master_share/master_data/2024/1440813c14 Absolute master path MediaArchive https://lecturemedia.cern.ch/2024/1440813c14/1440813c14-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 96994 MediaArchive https://lecturemedia.cern.ch/2024/1440813c14/1440813c14-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1227460 MediaArchive https://lecturemedia.cern.ch/2024/1440813c14/1440813c14-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 684165 MediaArchive https://lecturemedia.cern.ch/2024/1440813c14/1440813c14-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 255106 MediaArchive https://lecturemedia.cern.ch/2024/1440813c14/1440813c14-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 120034 MediaArchive https://lecturemedia.cern.ch/2024/1440813c14/1440813c14-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3224888 MediaArchive https://lecturemedia.cern.ch/2024/1440813c14/1440813c14-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 377802 MediaArchive https://lecturemedia.cern.ch/2024/1440813c14/1440813c14-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1199802 fariza.oulashova@cern.ch 2024-07-23T08:40:49 2024-08-13T14:22:48 PUBLIC INDICO.1440813c14 https://videos.cern.ch/legacy/record/2906880 Indico TALK MIGRATED 2906730 20260210064723.0 oai:cds.cern.ch:2906730 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI arXiv 10.1016/j.cma.2024.117146 publication arXiv oai:arXiv.org:2403.03658 oai:inspirehep.net:2815166 https://inspirehep.net/api/oai2d Inspire 2026-02-09T14:10:02Z 2026-02-10T03:01:06Z marcxml true Inspire 2815166 arXiv arXiv:2403.03658 cs.CE eng Duswald, Tobias tobias.duswald@tum.de ROR:https://ror.org/01ggx4157 ROR:https://ror.org/02kkvpp62 CERN Munich, Tech. U. CERN, Geneva, Switzerland School for Computation, Information, and Technology, Technical University of Munich, Germany submitter Finite elements for Matérn-type random fields: Uncertainty in computational mechanics and design optimization 2024-09 2024-03-06 31 p submitter This work highlights an approach for incorporating realistic uncertainties into scientific computing workflows based on finite elements, focusing on prevalent applications in computational mechanics and design optimization. We leverage Matérn-type Gaussian random fields (GRFs) generated using the SPDE method to model aleatoric uncertainties, including environmental influences, variating material properties, and geometric ambiguities. Our focus lies on delivering practical GRF realizations that accurately capture imperfections and variations and understanding how they impact the predictions of computational models as well as the shape and topology of optimized designs. We describe a numerical algorithm based on solving a generalized SPDE to sample GRFs on arbitrary meshed domains. The algorithm leverages established techniques and integrates seamlessly with the open-source finite element library MFEM and associated scientific computing workflows, like those found in industrial and national laboratory settings. Our solver scales efficiently for large-scale problems and supports various domain types, including surfaces and embedded manifolds. We showcase its versatility through biomechanics and topology optimization applications, emphasizing the potential to influence these domains. The flexibility and efficiency of SPDE-based GRF generation empowers us to run large-scale optimization problems on 2D and 3D domains, including finding optimized designs on embedded surfaces, and to generate design features and topologies beyond the reach of conventional techniques. Moreover, these capabilities allow us to model and quantify geometric uncertainties on reconstructed submanifolds, such as the interpolated surfaces of cerebral aneurysms provided by postprocessing CT scans. In addition to offering benefits in these specific domains, the proposed techniques transcend specific applications and generalize to arbitrary forward and backward problems in uncertainty quantification involving finite elements. arXiv This work highlights an approach for incorporating realistic uncertainties into scientific computing workflows based on finite elements, focusing on applications in computational mechanics and design optimization. We leverage Matérn-type Gaussian random fields (GRFs) generated using the SPDE method to model aleatoric uncertainties, including environmental influences, variating material properties, and geometric ambiguities. Our focus lies on delivering practical GRF realizations that accurately capture imperfections and variations and understanding how they impact the predictions of computational models and the topology of optimized designs. We describe a numerical algorithm based on solving a generalized SPDE to sample GRFs on arbitrary meshed domains. The algorithm leverages established techniques and integrates seamlessly with the open-source finite element library MFEM and associated scientific computing workflows, like those found in industrial and national laboratory settings. Our solver scales efficiently for large-scale problems and supports various domain types, including surfaces and embedded manifolds. We showcase its versatility through biomechanics and topology optimization applications. The flexibility and efficiency of SPDE-based GRF generation empower us to run large-scale optimization problems on 2D and 3D domains, including finding optimized designs on embedded surfaces, and to generate topologies beyond the reach of conventional techniques. Moreover, these capabilities allow us to model geometric uncertainties of reconstructed submanifolds, such as the surfaces of cerebral aneurysms. In addition to offering benefits in these specific domains, the proposed techniques transcend specific applications and generalize to arbitrary forward and backward problems in uncertainty quantification involving finite elements. publication CC-BY-4.0 CERN-RP: Elsevier http://creativecommons.org/licenses/by/4.0/ preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication The Authors 2024 arXiv math.NA SzGeCERN Mathematical Physics and Mathematics arXiv cs.NA SzGeCERN Computing and Computers arXiv cs.CE SzGeCERN Computing and Computers CERN ARTICLE Keith, Brendan brendan_keith@brown.edu Brown U. (main) Division of Applied Mathematics, Brown University, United States of America Lazarov, Boyan lazarov2@llnl.gov ROR:https://ror.org/041nk4h53 LLNL, Livermore Lawrence Livermore National Laboratory, United States of America Petrides, Socratis petrides1@llnl.gov ROR:https://ror.org/041nk4h53 LLNL, Livermore Lawrence Livermore National Laboratory, United States of America Wohlmuth, Barbara wohlmuth@cit.tum.de ROR:https://ror.org/02kkvpp62 Munich, Tech. U. School for Computation, Information, and Technology, Technical University of Munich, Germany 117146 Comput. Methods Appl. Mech. Eng. 429 2024 2551173 71398 http://cds.cern.ch/record/2906730/files/fig-78.png 00077 : (g) $l=0.05$, $j=5.56$ 2551174 70422 http://cds.cern.ch/record/2906730/files/fig-79.png 00078 : (h) $l=0.20$, $j=6.03$ 2551175 89143 http://cds.cern.ch/record/2906730/files/fig-70.png 00069 : (i) $l=0.30$, $j=7.89$ 2551176 93625 http://cds.cern.ch/record/2906730/files/fig-71.png 00070 : (j) $l=0.40$, $j=8.00$ 2551177 63468 http://cds.cern.ch/record/2906730/files/fig-72.png 00071 : (a) $l=0.01$, $j=5.02$, \\ symmetrized 2551178 72745 http://cds.cern.ch/record/2906730/files/fig-73.png 00072 : (b) $l=0.05$, $j=5.39$, \\ symmetrized 2551179 71403 http://cds.cern.ch/record/2906730/files/fig-74.png 00073 : (c) $l=0.20$, $j=5.77$, \\ symmetrized 2551180 67901 http://cds.cern.ch/record/2906730/files/fig-75.png 00074 : (d) $l=0.30$, $j=5.91$, \\ symmetrized 2551181 67095 http://cds.cern.ch/record/2906730/files/fig-76.png 00075 : (e) $l=0.40$, $j=6.14$, \\ symmetrized 2551182 63565 http://cds.cern.ch/record/2906730/files/fig-77.png 00076 : (f) $l=0.01$, $j=5.13$ 2551183 324834 http://cds.cern.ch/record/2906730/files/fig-98.png 00097 : Caption not extracted 2551184 251400 http://cds.cern.ch/record/2906730/files/fig-99.png 00098 : Caption not extracted 2551185 340139 http://cds.cern.ch/record/2906730/files/fig-92.png 00091 : (c) $l=0.03$, $j=12.59$ 2551186 268265 http://cds.cern.ch/record/2906730/files/fig-93.png 00092 : (d) $l=0.04$, $j=12.39$ 2551187 313670 http://cds.cern.ch/record/2906730/files/fig-90.png 00089 : (a) $l=0.01$, $j=12.21$ 2551188 232392 http://cds.cern.ch/record/2906730/files/fig-91.png 00090 : (b) $l=0.02$, $j=12.43$ 2551189 344194 http://cds.cern.ch/record/2906730/files/fig-96.png 00095 : Caption not extracted 2551190 248561 http://cds.cern.ch/record/2906730/files/fig-97.png 00096 : Caption not extracted 2551191 336981 http://cds.cern.ch/record/2906730/files/fig-94.png 00093 : Stochastic compliance optimization of a 3D bridge structure from a uniform initial density distribution. 2551192 243205 http://cds.cern.ch/record/2906730/files/fig-95.png 00094 : Caption not extracted 2551193 61224 http://cds.cern.ch/record/2906730/files/fig-67.png 00066 : (f) $l=0.01$, $j=5.56$ 2551194 92455 http://cds.cern.ch/record/2906730/files/fig-66.png 00065 : (e) $l=0.40$, $j=7.76$, \\ symmetrized 2551195 85785 http://cds.cern.ch/record/2906730/files/fig-65.png 00064 : (d) $l=0.30$, $j=7.16$, \\ symmetrized 2551196 82471 http://cds.cern.ch/record/2906730/files/fig-64.png 00063 : (c) $l=0.20$, $j=6.74$, \\ symmetrized 2551197 74851 http://cds.cern.ch/record/2906730/files/fig-63.png 00062 : (b) $l=0.05$, $j=5.97$, \\ symmetrized 2551198 57584 http://cds.cern.ch/record/2906730/files/fig-62.png 00061 : (a) $l=0.01$, $j=5.28$, \\ symmetrized 2551199 37105 http://cds.cern.ch/record/2906730/files/fig-61.png 00060 2D bridge - design domain and boundary conditions. The vertical and horizontal loads are denoted by $f_v$ and $f_h$, respectively. 2551200 19995 http://cds.cern.ch/record/2906730/files/fig-60.png 00059 : Caption not extracted 2551201 84349 http://cds.cern.ch/record/2906730/files/fig-69.png 00068 : (h) $l=0.20$, $j=7.09$ 2551202 81740 http://cds.cern.ch/record/2906730/files/fig-68.png 00067 : (h) $l=0.05$, $j=6.26$ 2551203 257957 http://cds.cern.ch/record/2906730/files/fig-89.png 00088 : Caption not extracted 2551204 258584 http://cds.cern.ch/record/2906730/files/fig-88.png 00087 : Caption not extracted 2551205 72713 http://cds.cern.ch/record/2906730/files/fig-81.png 00080 : (j) $l=0.40$, $j=6.81$ 2551206 70222 http://cds.cern.ch/record/2906730/files/fig-80.png 00079 : (i) $l=0.30$, $j=6.54$ 2551207 254931 http://cds.cern.ch/record/2906730/files/fig-83.png 00082 : (b) Optimized design from a prescribed initial distribution, $j=10.70$ 2551208 335423 http://cds.cern.ch/record/2906730/files/fig-82.png 00081 : (a) Optimized design from a uniform initial distribution, $j=10.80$ 2551209 296071 http://cds.cern.ch/record/2906730/files/fig-85.png 00084 : Caption not extracted 2551210 318786 http://cds.cern.ch/record/2906730/files/fig-84.png 00083 : Deterministic compliance optimization of a 3D bridge structure with uniform (top) and prescribed (bottom) initial density distribution. 2551211 242810 http://cds.cern.ch/record/2906730/files/fig-87.png 00086 : Caption not extracted 2551212 338535 http://cds.cern.ch/record/2906730/files/fig-86.png 00085 : Caption not extracted 2551213 481484 http://cds.cern.ch/record/2906730/files/fig-12.png 00011 Mat\'ern random fields on sphere, mobius strip, and Klein bottle geometries. 2551214 1162990 http://cds.cern.ch/record/2906730/files/fig-13.png 00012 The synthetic aneurysms are obtained from a reference geometry (grey mesh) \cite{yang2020intra} via the SPDE method and shifting the respective vertices in normal direction proportionally to the random field values (red-blue color bar) multiplied by a scaling parameter $\alpha_S > 0$. Regions with positive random field values are lifted while negative values are lowered. Mat\'ern-type GRF parameters: $l =5.0$, $\nu=2.0$, and $\alpha_S = 0.2$. We choose a larger scaling parameter $\alpha_S$ than in Table~\ref{tab:aneurysm-uq-param} so that the geometric variations are easier to observe. 2551215 760671 http://cds.cern.ch/record/2906730/files/fig-10.png 00009 Mat\'ern random fields on sphere, mobius strip, and Klein bottle geometries. 2551216 530159 http://cds.cern.ch/record/2906730/files/fig-11.png 00010 Mat\'ern random fields on sphere, mobius strip, and Klein bottle geometries. 2551217 272300 http://cds.cern.ch/record/2906730/files/fig-16.png 00015 : (b) Load $f(\V{x})$ 2551218 286678 http://cds.cern.ch/record/2906730/files/fig-17.png 00016 : (c) Membrane displacement $\eta(\V{x})$ 2551219 26436 http://cds.cern.ch/record/2906730/files/fig-14.png 00013 The synthetic aneurysms are obtained from a reference geometry (grey mesh) \cite{yang2020intra} via the SPDE method and shifting the respective vertices in normal direction proportionally to the random field values (red-blue color bar) multiplied by a scaling parameter $\alpha_S > 0$. Regions with positive random field values are lifted while negative values are lowered. Mat\'ern-type GRF parameters: $l =5.0$, $\nu=2.0$, and $\alpha_S = 0.2$. We choose a larger scaling parameter $\alpha_S$ than in Table~\ref{tab:aneurysm-uq-param} so that the geometric variations are easier to observe. 2551220 297121 http://cds.cern.ch/record/2906730/files/fig-15.png 00014 : (a) Mass $\beta(\V{x})$ 2551221 7230 http://cds.cern.ch/record/2906730/files/fig-18.png 00017 : (a) Maximal element distortion 2551222 46145 http://cds.cern.ch/record/2906730/files/fig-19.png 00018 : (b) KDEs of top 50 distortions 2551223 231956 http://cds.cern.ch/record/2906730/files/fig-109.png 00108 : Stochastic compliance optimization of a 3D bridge structure from a prescribed initial density distribution. 2551224 224954 http://cds.cern.ch/record/2906730/files/fig-108.png 00107 : (c) $l=0.03$, $j=12.91$ 2551225 243354 http://cds.cern.ch/record/2906730/files/fig-103.png 00102 : Caption not extracted 2551226 57250315 http://cds.cern.ch/record/2906730/files/2403.03658.pdf Fulltext 2551227 293843 http://cds.cern.ch/record/2906730/files/fig-101.png 00100 : Caption not extracted 2551228 319679 http://cds.cern.ch/record/2906730/files/fig-100.png 00099 : Caption not extracted 2551229 211444 http://cds.cern.ch/record/2906730/files/fig-107.png 00106 : (b) $l=0.02$, $j=12.46$ 2551230 306684 http://cds.cern.ch/record/2906730/files/fig-106.png 00105 : (a) $l=0.01$, $j=12.10$ 2551231 241656 http://cds.cern.ch/record/2906730/files/fig-105.png 00104 : Caption not extracted 2551232 328477 http://cds.cern.ch/record/2906730/files/fig-104.png 00103 : Caption not extracted 2551233 789422 http://cds.cern.ch/record/2906730/files/fig-118.png 00117 Effect of the sample size on the density $\tilde{\rho}$ and objective function $j$. The sample size increases from left to right. 2551234 777784 http://cds.cern.ch/record/2906730/files/fig-119.png 00118 Effect of the sample size on the density $\tilde{\rho}$ and objective function $j$. The sample size increases from left to right. 2551235 339450 http://cds.cern.ch/record/2906730/files/fig-102.png 00101 : Caption not extracted 2551236 300165 http://cds.cern.ch/record/2906730/files/fig-110.png 00109 : Caption not extracted 2551237 209644 http://cds.cern.ch/record/2906730/files/fig-111.png 00110 : Caption not extracted 2551238 222059 http://cds.cern.ch/record/2906730/files/fig-112.png 00111 : Caption not extracted 2551239 229294 http://cds.cern.ch/record/2906730/files/fig-113.png 00112 : Caption not extracted 2551240 359886 http://cds.cern.ch/record/2906730/files/fig-114.png 00113 : Caption not extracted 2551241 276603 http://cds.cern.ch/record/2906730/files/fig-115.png 00114 : Caption not extracted 2551242 316723 http://cds.cern.ch/record/2906730/files/fig-116.png 00115 : Caption not extracted 2551243 241046 http://cds.cern.ch/record/2906730/files/fig-117.png 00116 : Caption not extracted 2551244 582153 http://cds.cern.ch/record/2906730/files/fig-38.png 00037 : (a) $l_x = 0.2, l_y = 0.025$, $\vartheta = 0$,\\ $j = 0.109$ 2551245 584940 http://cds.cern.ch/record/2906730/files/fig-39.png 00038 : (b) $l_x = 0.025, l_y = 0.2$, $\vartheta = 0$,\\ $j = 0.110$ 2551246 691269 http://cds.cern.ch/record/2906730/files/fig-34.png 00033 : (a) $l = 0.2$, $j = 0.589$ 2551247 746601 http://cds.cern.ch/record/2906730/files/fig-35.png 00034 : (b) $l = 0.1$, $j = 0.214$ 2551248 794863 http://cds.cern.ch/record/2906730/files/fig-36.png 00035 : (c) $l = 0.05$, $j = 0.074$ 2551249 958739 http://cds.cern.ch/record/2906730/files/fig-37.png 00036 : (d) $l = 0.025$, $j = 0.024$ 2551250 700029 http://cds.cern.ch/record/2906730/files/fig-30.png 00029 : Optimized density distributions $\tilde{\rho}$ (bottom) for thermal compliance problems with stochastic heat source of different correlation lengths (top, representative sample). The length parameter in the PDE filter is set to $r=0.02$, and the volume constraint is 50\% (i.e., $\gamma = 0.5$). The stochastic fields are isotropic, i.e., $\M{\Theta} = l^2 \, \M{I}$. The value of the objective function is denoted with $j$. 2551251 753798 http://cds.cern.ch/record/2906730/files/fig-31.png 00030 : Caption not extracted 2551252 805959 http://cds.cern.ch/record/2906730/files/fig-32.png 00031 : Caption not extracted 2551253 842499 http://cds.cern.ch/record/2906730/files/fig-33.png 00032 : Caption not extracted 2551254 888631 http://cds.cern.ch/record/2906730/files/fig-125.png 00124 Effect of the sample size on the density $\tilde{\rho}$ and objective function $j$. The sample size increases from left to right. 2551255 895742 http://cds.cern.ch/record/2906730/files/fig-124.png 00123 Effect of the sample size on the density $\tilde{\rho}$ and objective function $j$. The sample size increases from left to right. 2551256 892094 http://cds.cern.ch/record/2906730/files/fig-127.png 00125 Effect of the sample size on the density $\tilde{\rho}$ and objective function $j$. The sample size increases from left to right. 2551257 773309 http://cds.cern.ch/record/2906730/files/fig-121.png 00120 Effect of the sample size on the density $\tilde{\rho}$ and objective function $j$. The sample size increases from left to right. 2551258 782748 http://cds.cern.ch/record/2906730/files/fig-120.png 00119 Effect of the sample size on the density $\tilde{\rho}$ and objective function $j$. The sample size increases from left to right. 2551259 899956 http://cds.cern.ch/record/2906730/files/fig-123.png 00122 Effect of the sample size on the density $\tilde{\rho}$ and objective function $j$. The sample size increases from left to right. 2551260 784029 http://cds.cern.ch/record/2906730/files/fig-122.png 00121 Effect of the sample size on the density $\tilde{\rho}$ and objective function $j$. The sample size increases from left to right. 2551261 866053 http://cds.cern.ch/record/2906730/files/fig-29.png 00028 : (d) $l= 0.025$, $j = 0.024$ 2551262 755682 http://cds.cern.ch/record/2906730/files/fig-28.png 00027 : (c) $l = 0.05$, $j = 0.074$ 2551263 335647 http://cds.cern.ch/record/2906730/files/fig-23.png 00022 Effects of geometric uncertainties for three realizations on a fluid flow throughout the aneurysm. The streamlines are colored by the pressure in the fluid using the color scale shown in the figure. 2551264 330618 http://cds.cern.ch/record/2906730/files/fig-22.png 00021 Effects of geometric uncertainties for three realizations on a fluid flow throughout the aneurysm. The streamlines are colored by the pressure in the fluid using the color scale shown in the figure. 2551265 337017 http://cds.cern.ch/record/2906730/files/fig-21.png 00020 Effects of geometric uncertainties for three realizations on a fluid flow throughout the aneurysm. The streamlines are colored by the pressure in the fluid using the color scale shown in the figure. 2551266 24012 http://cds.cern.ch/record/2906730/files/fig-20.png 00019 : (c) Distribution of top 50 distortions 2551267 646196 http://cds.cern.ch/record/2906730/files/fig-27.png 00026 : (b) $l= 0.1$, $j = 0.215$ 2551268 525569 http://cds.cern.ch/record/2906730/files/fig-26.png 00025 : (a) $l=0.2$, $j = 0.589$ 2551269 629154 http://cds.cern.ch/record/2906730/files/fig-25.png 00024 Optimized density $\tilde{\rho}$ for thermal compliance problem with deterministic heat source and volume constraint 50\% (i.e., $\gamma = 0.5$). The length parameter in the PDE filter is set to $r=0.02$. 2551270 21252 http://cds.cern.ch/record/2906730/files/fig-24.png 00023 Effects of geometric uncertainties for three realizations on a fluid flow throughout the aneurysm. The streamlines are colored by the pressure in the fluid using the color scale shown in the figure. 2551271 9782800 http://cds.cern.ch/record/2906730/files/1-s2.0-S004578252400402X-main.pdf Fulltext 2551272 55840 http://cds.cern.ch/record/2906730/files/fig-58.png 00057 : The figure shows optimized topologies (top) for heat sinks obtained using the robust formulation with materials uncertainties. Samples of the material distributions are shown in the bottom row and correspond to $\tau$ in~\eqref{eq:uncertain_kappa_robust}. In this row, the color grey indicates $\tau = 1$, while black indicates regions with $\tau = 0$. The random damage fields are rotated 0.3 radians counterclockwise with correlation lengths specified above for each optimization case. 2551273 24925 http://cds.cern.ch/record/2906730/files/fig-59.png 00058 : Caption not extracted 2551274 49297 http://cds.cern.ch/record/2906730/files/fig-56.png 00055 : (b) $l_x = 0.01, l_y = 0.10$,\\ $j = 2.52$ 2551275 49672 http://cds.cern.ch/record/2906730/files/fig-57.png 00056 : (c) $l_x = 0.01, l_y = 0.20$,\\ $j = 2.76$ 2551276 663491 http://cds.cern.ch/record/2906730/files/fig-54.png 00053 : Caption not extracted 2551277 50751 http://cds.cern.ch/record/2906730/files/fig-55.png 00054 : (a) $l_x = 0.01, l_y = 0.01$,\\ $j = 2.23$ 2551278 755157 http://cds.cern.ch/record/2906730/files/fig-52.png 00051 : Caption not extracted 2551279 701224 http://cds.cern.ch/record/2906730/files/fig-53.png 00052 : Caption not extracted 2551280 643175 http://cds.cern.ch/record/2906730/files/fig-50.png 00049 : Caption not extracted 2551281 577288 http://cds.cern.ch/record/2906730/files/fig-51.png 00050 : Caption not extracted 2551282 241431 http://cds.cern.ch/record/2906730/files/fig-8.png 00007 : Caption not extracted 2551283 218188 http://cds.cern.ch/record/2906730/files/fig-9.png 00008 : Caption not extracted 2551284 1052308 http://cds.cern.ch/record/2906730/files/fig-1.png 00000 Isotropic, homogeneous, Mat\'ern-type Gaussian random fields of different smoothness and correlation length generated with the SPDE method. The \textit{smoothness} and \textit{correlation-length} increase along their respective axis. The examples are generated with homogeneous Neumann boundary conditions on $D=(0,1)^2$ using identical white noise realizations for all samples. 2551285 429775 http://cds.cern.ch/record/2906730/files/fig-2.png 00001 : (a) $\nu = 0.5$ 2551286 301133 http://cds.cern.ch/record/2906730/files/fig-3.png 00002 : (b) $\nu = 1.0$ 2551287 232109 http://cds.cern.ch/record/2906730/files/fig-4.png 00003 : (c) $\nu = 2.0$ 2551288 208256 http://cds.cern.ch/record/2906730/files/fig-5.png 00004 : (d) $\nu = 4.0$ 2551289 430673 http://cds.cern.ch/record/2906730/files/fig-6.png 00005 : Combination of three, thresholded random fields to mimic material uncertainties for different smoothness (columns) and different white noise samples (rows). Thresholds are set to 0 and 1. 2551290 300403 http://cds.cern.ch/record/2906730/files/fig-7.png 00006 : Caption not extracted 2551291 733440 http://cds.cern.ch/record/2906730/files/fig-49.png 00048 : Optimized density distributions $\tilde{\rho}$ for thermal compliance problems with stochastic heat source, different correlation lengths, and volume constraint 50\% on a cut sphere. The length parameter in the PDE filter is set to $r=0.02$. The stochastic fields are isotropic. The values of the objective function are $j_{(a)}=39.74$, $j_{(b)}=17.75$, and $j_{(c)}=7.61$. 2551292 510121 http://cds.cern.ch/record/2906730/files/fig-48.png 00047 : View 3 2551293 773457 http://cds.cern.ch/record/2906730/files/fig-45.png 00044 : Caption not extracted 2551294 761799 http://cds.cern.ch/record/2906730/files/fig-44.png 00043 : Caption not extracted 2551295 585623 http://cds.cern.ch/record/2906730/files/fig-47.png 00046 : View 2 2551296 727482 http://cds.cern.ch/record/2906730/files/fig-46.png 00045 : View 1 2551297 795296 http://cds.cern.ch/record/2906730/files/fig-41.png 00040 : (d) $l_x = 0.2, l_y = 0.025, \vartheta = \frac{-\pi}{4}$,\\ $j = 0.114$ 2551298 635048 http://cds.cern.ch/record/2906730/files/fig-40.png 00039 : (c) $l_x = 0.2, l_y = 0.025, \vartheta = \frac{\pi}{4}$,\\ $j = 0.114$ 2551299 760199 http://cds.cern.ch/record/2906730/files/fig-43.png 00042 : Caption not extracted 2551300 756250 http://cds.cern.ch/record/2906730/files/fig-42.png 00041 : Optimized density distributions $\tilde{\rho}$ (bottom) for thermal compliance problems with stochastic heat source of different correlation lengths (top, representative sample). The length parameter in the PDE filter is set to $r=0.02$, the volume constraint is 50\% (i.e., $\gamma = 0.5$)and the stochastic fields are anisotropic.. For (a,c), symmetry is enforced across a vertical axis $x=0$. The value of the objective function is denoted with $j$. 13 ARTICLE 2906581 SzGeCERN 20260415130121.0 DOI IEEE 10.1109/RADECS55911.2022.10412576 oai:cds.cern.ch:2906581 cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2754841 2024-08-06T13:40:26Z 2024-08-08T04:16:14Z marcxml Inspire 2754841 eng Zimmaro, Alessandro CERN IES, Montpellier Université de Montpellier, IES - UMR UM/CNRS 5214, Montpellier, France IEEE Impact of flux selection, pulsed beams and operation mode on system failure observability during radiation qualification 2022 8 p IEEE Systems and Systems on Chip (SoCs) under radiation can have complex failure modes with different probabilities. A system may have, due to its different modalities of operation and depending on the selected test flux, a probability that the failure with the highest probability of occurrence masks the others, preventing them from being detected. Flux selection becomes a key parameter in system-level testing to increase the observability of such events and prevent them from remaining hidden. The inability to detect and identify these events could lead to unexpected failures during operation. This work proposes a methodology to evaluate the degree of observability of low probability fault modes by varying the flux and demonstrates its validity through measurements. IEEE 2022 SzGeCERN Detectors and Experimental Techniques author Operation Mode author Pulsed Beam author Failure Modes author Unexpected Failures author Fault Modes author Complete Test author High Flux author Environmental Levels author Examples Of Systems author Poisson Process author Probability Of Failure author Optimal Flow author Maximum Flux author Average Flux author Low Number Of Events author Flux Conditions author Examples Of Components author Optimal Flux author Static Random Access Memory author Dependence Of Flux author Continuous Beam author Stop Working author Random Access Memory author Proton Beam author Mitigation Strategies author Beam Time author Graphics Processing Unit author System Level testing author Radiation Monitoring author Radiation Hardness Assurance (RHA) author Total Ionizing Dose (TID) author Thermal Neutrons (ThNs) author High Energy Hadrons (HeH) PREPRINT CERN Ferraro, Rudy CERN Boch, Jérôme IES, Montpellier Saigné, Frédéric IES, Montpellier García Alía, Rubén CERN Masi, Alessandro CERN Danzeca, Salvatore CERN 229 IEEE Conf. RADECS2022 C22-10-03.3 2022 11 2806405 229 venice20221003 PREPRINT ConferencePaper 2906575 20260225045730.0 oai:cds.cern.ch:2906575 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI arXiv 10.1088/1748-0221/19/11/P11003 publication arXiv oai:arXiv.org:2408.01802 oai:inspirehep.net:2814711 https://inspirehep.net/api/oai2d Inspire 2026-02-24T21:10:13Z 2026-02-25T03:12:02Z marcxml true Inspire 2814711 arXiv arXiv:2408.01802 hep-ex eng Abbrescia, M. ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari Polytechnic INFN, Bari Dipartimento di Fisica dell'Università e del Politecnico di Bari, Via Amendola 173, 70125 Bari, Italy INFN, Sezione di Bari, Via Orabona 4, 70126 Bari, Italy IOP First results on new helium based eco-gas mixtures for the Extreme Energy Events Project 2024-11-11 2024-08-03 14 p arXiv 14 pages, 6 figures, submitted to JINST IOP The Extreme Energy Events (EEE) Project, a joint project of the Centro Fermi (Museo Storico della Fisica e Centro Studi e Ricerche “E. Fermi”) and INFN, has a dual purpose: a scientific research program on cosmic rays at ground level and an intense outreach and educational program. The project consists in a network of about 60 tracking detectors, called telescopes, mostly hosted in Italian High Schools. Each telescope is made by three Multigap Resistive Plate Chambers, operated so far with a gas mixture composed by 98% C$_{2}$H$_{2}$F$_{4}$ and 2% SF$_{6}$. Due to its high Global Warming Potential, a few years ago the EEE collaboration has started an extensive R&D on alternative mixtures environmentally sustainable and compatible with the current experimental setup and operational environment. Among other gas mixtures, the one with helium and hydrofluoroolefin R1234ze gave the best result during the preliminary tests performed with two of the network telescopes. The detector has proved to reach performance levels comparable to those obtained with previous mixtures, without any modification of the hardware. We will discuss the first results obtained with the new mixture, tested with different percentages of the two components. arXiv The Extreme Energy Events (EEE) Project, a joint project of the Centro Fermi (Museo Storico della Fisica e Centro Studi e Ricerche "E.Fermi") and INFN, has a dual purpose: a scientific research program on cosmic rays at ground level and an intense outreach and educational program. The project consists in a network of about 60 tracking detectors, called telescopes, mostly hosted in Italian High Schools. Each telescope is made by three Multigap Resistive Plate Chambers, operated so far with a gas mixture composed by 98% C$_2$H$_2$F$_4$ and 2% SF$_6$. Due to its high Global Warming Potential, a few years ago the EEE collaboration has started an extensive R&D on alternative mixtures environmentally sustainable and compatible with the current experimental setup and operational environment. Among other gas mixtures, the one with helium and hydrofluoroolefin R1234ze gave the best result during the preliminary tests performed with two of the network telescopes. The detector has proved to reach performance levels comparable to those obtained with previous mixtures, without any modification of the hardware. We will discuss the first results obtained with the new mixture, tested with different percentages of the two components. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication CC-BY-4.0 IOP Other http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2024 arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques arXiv hep-ex SzGeCERN Particle Physics - Experiment CERN ARTICLE EEE Avanzini, C. ROR:https://ror.org/03ad39j10 ROR:https://ror.org/05symbg58 Pisa U. INFN, Pisa Dipartimento di Fisica, Università di Pisa, Largo Bruno Pontecorvo 3, 56127 Pisa, Italy INFN, Sezione di Pisa, Largo Bruno Pontecorvo 3, 56127 Pisa, Italy Baldini, L. ROR:https://ror.org/03ad39j10 ROR:https://ror.org/05symbg58 Pisa U. INFN, Pisa Dipartimento di Fisica, Università di Pisa, Largo Bruno Pontecorvo 3, 56127 Pisa, Italy INFN, Sezione di Pisa, Largo Bruno Pontecorvo 3, 56127 Pisa, Italy Ferroli, R. Baldini ROR:https://ror.org/01ggx4157 ROR:https://ror.org/049jf1a25 CERN Frascati INFN, Laboratori Nazionali di Frascati, Via Enrico Fermi 54, 00044 Frascati, Italy Batignani, G. ROR:https://ror.org/03ad39j10 ROR:https://ror.org/05symbg58 Pisa U. INFN, Pisa Enrico Fermi Ctr., Rome Dipartimento di Fisica, Università di Pisa, Largo Bruno Pontecorvo 3, 56127 Pisa, Italy INFN, Sezione di Pisa, Largo Bruno Pontecorvo 3, 56127 Pisa, Italy Museo Storico della Fisica e Centro Studi e Ricerche “E. Fermi”, Via Panisperna 89/a, 00184 Roma, Italy Battaglieri, M. ROR:https://ror.org/042nb2s44 ROR:https://ror.org/02v89pq06 MIT, Cambridge, Dept. Phys. INFN, Genoa INFN, Sezione di Genova, Via Dodecaneso, 33, 16146 Genova, Italy Boi, S. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Dipartimento di Fisica, Università di Cagliari, S.P. Monserrato-Sestu, Monserrato (CA), 09042, Italy INFN, Sezione di Cagliari, Complesso Universitario di Monserrato, S.P. per Sestu, 09042, Monserrato (CA), Italy Bossini, E. ORCID:0000-0002-2303-2588 edoardo.bossini@pi.infn.it ROR:https://ror.org/05symbg58 INFN, Pisa INFN, Sezione di Pisa, Largo Bruno Pontecorvo 3, 56127 Pisa, Italy Carnesecchi, F. ROR:https://ror.org/01ggx4157 CERN CERN, Esplanade des Particules 1, 1211 Geneva 23, Switzerland Cavazza, F. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN, Sezione di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy Cicalò, C. ROR:https://ror.org/03paz5966 INFN, Cagliari INFN, Sezione di Cagliari, Complesso Universitario di Monserrato, S.P. per Sestu, 09042, Monserrato (CA), Italy Cifarelli, L. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 Bologna U. INFN, Bologna Enrico Fermi Ctr., Rome Dipartimento di Fisica e Astronomia, Università di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy INFN, Sezione di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy Museo Storico della Fisica e Centro Studi e Ricerche “E. Fermi”, Via Panisperna 89/a, 00184 Roma, Italy Coccetti, F. Enrico Fermi Ctr., Rome Museo Storico della Fisica e Centro Studi e Ricerche “E. Fermi”, Via Panisperna 89/a, 00184 Roma, Italy Coccia, E. ROR:https://ror.org/043qcb444 GSSI, Aquila Gran Sasso Science Institute, Viale Francesco Crispi 7, 67100 L'Aquila, Italy Corvaglia, A. ROR:https://ror.org/03fc1k060 ROR:https://ror.org/00qrf6g60 Salento U. INFN, Lecce INFN, Sezione di Lecce, Via per Arnesano. 73100, Lecce, Italy De Gruttola, D. ORCID:0000-0002-7055-6181 ROR:https://ror.org/0192m2k53 ROR:https://ror.org/043kfae87 ROR:https://ror.org/015kcdd40 Salerno U. INFN, Salerno INFN, Naples Enrico Fermi Ctr., Rome Dipartimento di Fisica, Università di Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy INFN, Gruppo Collegato di Salerno, Complesso Universitario di Monte S. Angelo ed. 6 via Cintia, 80126, Napoli, Italy Museo Storico della Fisica e Centro Studi e Ricerche “E. Fermi”, Via Panisperna 89/a, 00184 Roma, Italy De Pasquale, S. ROR:https://ror.org/0192m2k53 ROR:https://ror.org/043kfae87 ROR:https://ror.org/015kcdd40 Salerno U. INFN, Salerno INFN, Naples Enrico Fermi Ctr., Rome Dipartimento di Fisica, Università di Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy INFN, Gruppo Collegato di Salerno, Complesso Universitario di Monte S. Angelo ed. 6 via Cintia, 80126, Napoli, Italy Museo Storico della Fisica e Centro Studi e Ricerche “E. Fermi”, Via Panisperna 89/a, 00184 Roma, Italy Galante, L. ROR:https://ror.org/00bgk9508 Polytech. Turin Teaching and Language Lab, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino, Italy Garbini, M. ORCID:0000-0002-3016-6373 ROR:https://ror.org/04j0x0h93 Enrico Fermi Ctr., Rome INFN, Bologna Museo Storico della Fisica e Centro Studi e Ricerche “E. Fermi”, Via Panisperna 89/a, 00184 Roma, Italy INFN, Sezione di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy Gnesi, I. Enrico Fermi Ctr., Rome INFN, Cosenza Museo Storico della Fisica e Centro Studi e Ricerche “E. Fermi”, Via Panisperna 89/a, 00184 Roma, Italy INFN, Gruppo Collegato di Cosenza, via Pietro Bucci, Rende (Cosenza), Italy Gramegna, F. ORCID:0000-0001-6112-0602 ROR:https://ror.org/02pq29p90 INFN, Catania INFN, Laboratori Nazionali di Legnaro, Viale dell'Università 2, 35020 Legnaro, Italy Grazzi, S. ROR:https://ror.org/042nb2s44 ROR:https://ror.org/02v89pq06 Messina U. MIT, Cambridge, Dept. Phys. INFN, Genoa Dipartimento di Scienze Matematiche e Informatiche, Scienze Fisiche e Scienze della Terra, Università di Messina, Viale Ferdinando Stagno d'Alcontres 31, 98166 Messina (ME), Italy INFN, Sezione di Genova, Via Dodecaneso, 33, 16146 Genova, Italy Hatzifotiadou, D. ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/01ggx4157 INFN, Bologna CERN Enrico Fermi Ctr., Rome INFN, Sezione di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy CERN, Esplanade des Particules 1, 1211 Geneva 23, Switzerland Museo Storico della Fisica e Centro Studi e Ricerche “E. Fermi”, Via Panisperna 89/a, 00184 Roma, Italy La Rocca, P. ORCID:0000-0002-7291-8166 ROR:https://ror.org/03a64bh57 ROR:https://ror.org/02pq29p90 Catania U. INFN, Catania Enrico Fermi Ctr., Rome Dipartimento di Fisica, Università degli Studi di Catania, Via S. Sofia 64, 95123 Catania (CT), Italy INFN, Sezione di Catania, Via. S. Sofia 64, 95123 Catania (CT), Italy Museo Storico della Fisica e Centro Studi e Ricerche “E. Fermi”, Via Panisperna 89/a, 00184 Roma, Italy Liu, Z. World Lab., Geneva ICSC World laboratory, Geneva, Switzerland Mandaglio, G. ROR:https://ror.org/02pq29p90 Messina U. INFN, Catania Dipartimento di Scienze Matematiche e Informatiche, Scienze Fisiche e Scienze della Terra, Università di Messina, Viale Ferdinando Stagno d'Alcontres 31, 98166 Messina (ME), Italy INFN, Sezione di Catania, Via. S. Sofia 64, 95123 Catania (CT), Italy Margotti, A. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN, Sezione di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy Maron, G. ROR:https://ror.org/02pq29p90 INFN, Catania INFN, Laboratori Nazionali di Legnaro, Viale dell'Università 2, 35020 Legnaro, Italy Mazziotta, M.N. ROR:https://ror.org/022hq6c49 ROR:https://ror.org/03c44v465 INFN, Bari Bari Polytechnic INFN, Sezione di Bari, Via Orabona 4, 70126 Bari, Italy Mulliri, A. ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari Dipartimento di Fisica, Università di Cagliari, S.P. Monserrato-Sestu, Monserrato (CA), 09042, Italy INFN, Sezione di Cagliari, Complesso Universitario di Monserrato, S.P. per Sestu, 09042, Monserrato (CA), Italy Nania, R. ROR:https://ror.org/04j0x0h93 INFN, Bologna Enrico Fermi Ctr., Rome INFN, Sezione di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy Museo Storico della Fisica e Centro Studi e Ricerche “E. Fermi”, Via Panisperna 89/a, 00184 Roma, Italy Noferini, F. ROR:https://ror.org/04j0x0h93 INFN, Bologna Enrico Fermi Ctr., Rome INFN, Sezione di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy Museo Storico della Fisica e Centro Studi e Ricerche “E. Fermi”, Via Panisperna 89/a, 00184 Roma, Italy Nozzoli, F. ORCID:0000-0002-4355-7947 ROR:https://ror.org/00nhs3j29 TIFPA-INFN, Trento INFN Trento Institute for Fundamental Physics and Applications, Via Sommarive, 14, 38123 Povo TN, Italy Palmonari, F. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 Bologna U. INFN, Bologna Dipartimento di Fisica e Astronomia, Università di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy INFN, Sezione di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy Panareo, M. ROR:https://ror.org/03fc1k060 ROR:https://ror.org/00qrf6g60 Salento U. INFN, Lecce Dipartimento di Matematica e Fisica, Università del Salento, Via per Arnesano. 73100, Lecce, Italy INFN, Sezione di Lecce, Via per Arnesano. 73100, Lecce, Italy Panetta, M.P. ROR:https://ror.org/03fc1k060 ROR:https://ror.org/00qrf6g60 Salento U. INFN, Lecce INFN, Sezione di Lecce, Via per Arnesano. 73100, Lecce, Italy Paoletti, R. ROR:https://ror.org/05symbg58 Messina U. INFN, Pisa Dipartimento di Scienze Fisiche, della Terra e dell'Ambiente, Università di Siena, Via Roma 56, 53100 Siena, Italy INFN, Sezione di Pisa, Largo Bruno Pontecorvo 3, 56127 Pisa, Italy Pellegrino, C. INFN, CNAF INFN-CNAF, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy Perasso, L. ROR:https://ror.org/042nb2s44 ROR:https://ror.org/02v89pq06 MIT, Cambridge, Dept. Phys. INFN, Genoa INFN, Sezione di Genova, Via Dodecaneso, 33, 16146 Genova, Italy Pinazza, O. ROR:https://ror.org/04j0x0h93 INFN, Bologna Enrico Fermi Ctr., Rome INFN, Sezione di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy Museo Storico della Fisica e Centro Studi e Ricerche “E. Fermi”, Via Panisperna 89/a, 00184 Roma, Italy Pinto, C. ROR:https://ror.org/01ggx4157 CERN CERN, Esplanade des Particules 1, 1211 Geneva 23, Switzerland Pisano, S. ROR:https://ror.org/01ggx4157 ROR:https://ror.org/049jf1a25 Enrico Fermi Ctr., Rome CERN Frascati Museo Storico della Fisica e Centro Studi e Ricerche “E. Fermi”, Via Panisperna 89/a, 00184 Roma, Italy INFN, Laboratori Nazionali di Frascati, Via Enrico Fermi 54, 00044 Frascati, Italy Riggi, F. ORCID:0000-0002-0030-8377 ROR:https://ror.org/03a64bh57 ROR:https://ror.org/02pq29p90 Catania U. INFN, Catania Enrico Fermi Ctr., Rome Dipartimento di Fisica, Università degli Studi di Catania, Via S. Sofia 64, 95123 Catania (CT), Italy INFN, Sezione di Catania, Via. S. Sofia 64, 95123 Catania (CT), Italy Museo Storico della Fisica e Centro Studi e Ricerche “E. Fermi”, Via Panisperna 89/a, 00184 Roma, Italy Righini, G. ORCID:0000-0002-6081-6971 ROR:https://ror.org/00dqega85 IFAC, Florence CNR, Istituto di Fisica Applicata “Nello Carrara”, Via Madonna del Piano 10, 50019 Sesto Fiorentino (FI), Italy Ripoli, C. ROR:https://ror.org/0192m2k53 ROR:https://ror.org/043kfae87 ROR:https://ror.org/015kcdd40 Salerno U. INFN, Salerno INFN, Naples Enrico Fermi Ctr., Rome Dipartimento di Fisica, Università di Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy INFN, Gruppo Collegato di Salerno, Complesso Universitario di Monte S. Angelo ed. 6 via Cintia, 80126, Napoli, Italy Museo Storico della Fisica e Centro Studi e Ricerche “E. Fermi”, Via Panisperna 89/a, 00184 Roma, Italy Rizzi, M. ROR:https://ror.org/022hq6c49 ROR:https://ror.org/03c44v465 INFN, Bari Bari Polytechnic INFN, Sezione di Bari, Via Orabona 4, 70126 Bari, Italy Sartorelli, G. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 Bologna U. INFN, Bologna Dipartimento di Fisica e Astronomia, Università di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy INFN, Sezione di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy Scapparone, E. ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN, Sezione di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy Schioppa, M. ROR:https://ror.org/02rc97e94 Calabria U. INFN, Cosenza Dipartimento di Fisica, Università della Calabria, via Pietro Bucci, Rende (Cosenza), Italy INFN, Gruppo Collegato di Cosenza, via Pietro Bucci, Rende (Cosenza), Italy Scioli, G. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 Bologna U. INFN, Bologna Dipartimento di Fisica e Astronomia, Università di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy INFN, Sezione di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy Scribano, A. ROR:https://ror.org/05symbg58 Messina U. INFN, Pisa Dipartimento di Scienze Fisiche, della Terra e dell'Ambiente, Università di Siena, Via Roma 56, 53100 Siena, Italy INFN, Sezione di Pisa, Largo Bruno Pontecorvo 3, 56127 Pisa, Italy Selvi, M. ORCID:0000-0003-0243-0840 ROR:https://ror.org/04j0x0h93 INFN, Bologna Enrico Fermi Ctr., Rome INFN, Sezione di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy Museo Storico della Fisica e Centro Studi e Ricerche “E. Fermi”, Via Panisperna 89/a, 00184 Roma, Italy Taiuti, M. ROR:https://ror.org/0107c5v14 ROR:https://ror.org/042nb2s44 ROR:https://ror.org/02v89pq06 Genoa U. MIT, Cambridge, Dept. Phys. INFN, Genoa Dipartimento di Fisica, Università di Genova, Via Dodecaneso, 33, 16146 Genova GE, Italy INFN, Sezione di Genova, Via Dodecaneso, 33, 16146 Genova, Italy Terreni, G. ROR:https://ror.org/05symbg58 INFN, Pisa INFN, Sezione di Pisa, Largo Bruno Pontecorvo 3, 56127 Pisa, Italy Trifirò, A. ROR:https://ror.org/02pq29p90 Messina U. INFN, Catania Dipartimento di Scienze Matematiche e Informatiche, Scienze Fisiche e Scienze della Terra, Università di Messina, Viale Ferdinando Stagno d'Alcontres 31, 98166 Messina (ME), Italy INFN, Sezione di Catania, Via. S. Sofia 64, 95123 Catania (CT), Italy Trimarchi, M. ORCID:0000-0001-7429-7036 ROR:https://ror.org/02pq29p90 Messina U. INFN, Catania Dipartimento di Scienze Matematiche e Informatiche, Scienze Fisiche e Scienze della Terra, Università di Messina, Viale Ferdinando Stagno d'Alcontres 31, 98166 Messina (ME), Italy INFN, Sezione di Catania, Via. S. Sofia 64, 95123 Catania (CT), Italy Vistoli, C. INFN, CNAF INFN-CNAF, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy Votano, L. ROR:https://ror.org/02s8k0k61 Gran Sasso INFN, Laboratori Nazionali del Gran Sasso, Via G. Acitelli 22, 67100 Assergi (AQ), Italy Williams, M.C.S. ROR:https://ror.org/01ggx4157 CERN World Lab., Geneva CERN, Esplanade des Particules 1, 1211 Geneva 23, Switzerland ICSC World laboratory, Geneva, Switzerland Zichichi, A. ROR:https://ror.org/01111rn36 ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/01ggx4157 Enrico Fermi Ctr., Rome Bologna U. INFN, Bologna CERN World Lab., Geneva Museo Storico della Fisica e Centro Studi e Ricerche “E. Fermi”, Via Panisperna 89/a, 00184 Roma, Italy Dipartimento di Fisica e Astronomia, Università di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy INFN, Sezione di Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy CERN, Esplanade des Particules 1, 1211 Geneva 23, Switzerland ICSC World laboratory, Geneva, Switzerland Zuyeuski, R. ROR:https://ror.org/01ggx4157 World Lab., Geneva CERN ICSC World laboratory, Geneva, Switzerland CERN, Esplanade des Particules 1, 1211 Geneva 23, Switzerland EEE Collaboration P11003 publication JINST 19 JINST 19 P11003 (2024) 2024 2550796 17118 http://cds.cern.ch/record/2906575/files/Tres6040.png 00015 : 60/40 2550797 585901 http://cds.cern.ch/record/2906575/files/Map.png 00001 On the left, a picture of one of the EEE telescopes. On the right, the geographical distribution of the schools participating to the project with (red dots) or without (blue dots) a telescope. Some telescopes are installed in INFN sites or at CERN (orange dots). 2550798 16640 http://cds.cern.ch/record/2906575/files/Xres5050.png 00012 : 50/50 2550799 50367 http://cds.cern.ch/record/2906575/files/EffMap5050_18k.png 00004 : Efficiency map 2550800 107775 http://cds.cern.ch/record/2906575/files/Telescope.png 00000 On the left, a picture of one of the EEE telescopes. On the right, the geographical distribution of the schools participating to the project with (red dots) or without (blue dots) a telescope. Some telescopes are installed in INFN sites or at CERN (orange dots). 2550801 29390 http://cds.cern.ch/record/2906575/files/stream.png 00007 : Streamer Vs HV 2550802 27272 http://cds.cern.ch/record/2906575/files/cl_size.png 00005 : Cluster size Vs HV 2550803 16034 http://cds.cern.ch/record/2906575/files/TresStd.png 00013 : Std 2550804 16284 http://cds.cern.ch/record/2906575/files/XresStd.png 00009 : Std 2550805 16667 http://cds.cern.ch/record/2906575/files/Xres6040.png 00011 : 60/40 2550806 17273 http://cds.cern.ch/record/2906575/files/Tres5050.png 00016 : 50/50 2550807 27235 http://cds.cern.ch/record/2906575/files/EffCluster.png 00006 : Cluster size Vs Efficiency 2550808 66300 http://cds.cern.ch/record/2906575/files/Detector.png 00002 On the left, a schematic representation of a six gap MRPC stack. The outer glasses are thicker than the inner ones to ensure better mechanical rigidity. On the right, the schematic top view of one MRPC with the 24 top strips read out by the two front-end boards. The top strips are paired with the bottom strips, providing a differential readout scheme, and each pair is treated as a single readout channel. 2550809 2852503 http://cds.cern.ch/record/2906575/files/2408.01802.pdf Fulltext 2550810 16703 http://cds.cern.ch/record/2906575/files/Xres7030.png 00010 : 70/30 2550811 16899 http://cds.cern.ch/record/2906575/files/Tres7030.png 00014 : 70/30 2550812 29715 http://cds.cern.ch/record/2906575/files/eff.png 00003 : Efficiency scan 2550813 30837 http://cds.cern.ch/record/2906575/files/EffStreamer.png 00008 : Streamer Vs Efficiency 2690500 2919059 http://cds.cern.ch/record/2906575/files/document.pdf Fulltext 13 ARTICLE 2906211 20260418042207.0 oai:cds.cern.ch:2906211 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI Springer 10.1007/JHEP10(2024)187 arXiv oai:arXiv.org:2407.21663 oai:inspirehep.net:2813555 https://inspirehep.net/api/oai2d Inspire 2026-04-17T08:18:32Z 2026-04-18T02:00:10Z marcxml true Inspire 2813555 arXiv arXiv:2407.21663 hep-ex eng Aguilar, J. GRID:grid.420161.0 ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain Springer Exploring atmospheric neutrino oscillations at ESSnuSB 2024-10-25 2024-07-31 14 p arXiv 14 pages, 7 figures and 2 tables, accepted for publication in the Journal of High Energy Physics Springer This study provides an analysis of atmospheric neutrino oscillations at the ESSnuSB far detector facility. The prospects of the two cylindrical Water Cherenkov detectors with a total fiducial mass of 540 kt are investigated over 10 years of data taking in the standard three-flavor oscillation scenario. We present the confidence intervals for the determination of mass ordering, θ$_{23}$ octant as well as for the precisions on sin$^{2}$θ$_{23}$ and $ \left|\Delta {m}_{31}^2\right| $. It is shown that mass ordering can be resolved by 3σ CL (5σ CL) after 4 years (10 years) regardless of the true neutrino mass ordering. Correspondingly, the wrong θ$_{23}$ octant could be excluded by 3σ CL after 4 years (8 years) in the case where the true neutrino mass ordering is normal ordering (inverted ordering). The results presented in this work are complementary to the accelerator neutrino program in the ESSnuSB project.[graphic not available: see fulltext] arXiv This study provides an analysis of atmospheric neutrino oscillations at the ESSnuSB far detector facility. The prospects of the two cylindrical Water Cherenkov detectors with a total fiducial mass of 540 kt are investigated over 10 years of data taking in the standard three-flavor oscillation scenario. We present the confidence intervals for the determination of mass ordering, $\theta_{23}$ octant as well as for the precisions on $\sin^2\theta_{23}$ and $|\Delta m_{31}^2|$. It is shown that mass ordering can be resolved by $3\sigma$ CL ($5\sigma$ CL) after 4 years (10 years) regardless of the true neutrino mass ordering. Correspondingly, the wrong $\theta_{23}$ octant could be excluded by $3\sigma$ CL after 4 years (8 years) in the case where the true neutrino mass ordering is normal ordering (inverted ordering). The results presented in this work are complementary to the accelerator neutrino program in the ESSnuSB project. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication CC-BY-4.0 Springer SCOAP3 http://creativecommons.org/licenses/by/4.0/ publication The Authors 2024 HAL arXiv hep-ph SzGeCERN Particle Physics - Phenomenology arXiv hep-ex SzGeCERN Particle Physics - Experiment CERN ARTICLE Anastasopoulos, M. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Baussan, E. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Bhattacharyya, A.K. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Bignami, A. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Blennow, M. GRID:grid.5037.1 GRID:grid.411313.5 ROR:https://ror.org/026vcq606 ROR:https://ror.org/044kkfr75 Royal Inst. Tech., Stockholm AlbaNova U. Ctr. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Bogomilov, M. GRID:grid.11355.33 ROR:https://ror.org/02jv3k292 Sofiya U. Sofia University St. Kliment Ohridski, Faculty of Physics, 1164 Sofia, Bulgaria Bolling, B. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Bouquerel, E. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Bramati, F. ORCID:0009-0004-6386-070X GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Branca, A. GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Brunetti, G. GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Bustinduy, I. GRID:grid.420161.0 ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain Carlile, C.J. GRID:grid.4514.4 ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P. O Box 118, 221 00 Lund, Sweden Cederkall, J. GRID:grid.4514.4 ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P. O Box 118, 221 00 Lund, Sweden Choi, T.W. GRID:grid.8993.b ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Choubey, S. choubey@kth.se GRID:grid.5037.1 GRID:grid.411313.5 ROR:https://ror.org/026vcq606 ROR:https://ror.org/044kkfr75 Royal Inst. Tech., Stockholm AlbaNova U. Ctr. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Christiansen, P. GRID:grid.4514.4 ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P. O Box 118, 221 00 Lund, Sweden Collins, M. GRID:grid.4514.4 GRID:grid.434715.0 ROR:https://ror.org/012a77v79 Lund U. ESS, Lund Faculty of Engineering, Lund University, P. O Box 118, 221 00 Lund, Sweden European Spallation Source, Box 176, SE-221 00 Lund, Sweden Morales, E. Cristaldo GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Cupiał, P. GRID:grid.9922.0 ROR:https://ror.org/00bas1c41 AGH-UST, Cracow AGH University of Krakow, al. A. Mickiewicza 30, 30-059 Krakow, Poland Danared, H. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden de André, J.P. A.M. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Dracos, M. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Efthymiopoulos, I. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, 1211 Geneva 23, Switzerland Ekelöf, T. GRID:grid.8993.b ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Eshraqi, M. ORCID:0000-0002-8101-9787 GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Fanourakis, G. GRID:grid.450262.7 ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Farricker, A. GRID:grid.10025.36 ROR:https://ror.org/02a5smf05 Cockcroft Inst. Accel. Sci. Tech. Cockroft Institute (A36), Liverpool University, WA4 4AD Warrington, U.K. Fasoula, E. GRID:grid.4793.9 ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Fukuda, T. GRID:grid.27476.30 Nagoya U., IAR Institute for Advanced Research, Nagoya University, 464-8601 Nagoya, Japan Gazis, N. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Geralis, Th. GRID:grid.450262.7 ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Ghosh, M. GRID:grid.4905.8 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Giarnetti, A. ORCID:0000-0001-8487-8045 GRID:grid.8509.4 ROR:https://ror.org/05vf0dg29 Rome III U. Dipartimento di Matematica e Fisica, Università di Roma Tre, Via della Vasca Navale 84, 00146 Rome, Italy Gokbulut, G. GRID:grid.98622.37 GRID:grid.5342.0 ROR:https://ror.org/05wxkj555 ROR:https://ror.org/00cv9y106 Cukurova U. Gent U. University of Cukurova, Faculty of Science and Letters, Department of Physics, 01330 Adana, Turkey Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Hagner, C. GRID:grid.9026.d ROR:https://ror.org/00g30e956 Hamburg U. Institute for Experimental Physics, Hamburg University, 22761 Hamburg, Germany Halić, L. GRID:grid.4905.8 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Hooft, M. ORCID:0000-0002-6368-4820 GRID:grid.5342.0 ROR:https://ror.org/00cv9y106 Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Iversen, K.E. GRID:grid.4514.4 ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P. O Box 118, 221 00 Lund, Sweden Jachowicz, N. GRID:grid.5342.0 ROR:https://ror.org/00cv9y106 Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Jenssen, M. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Johansson, R. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Kasimi, E. GRID:grid.4793.9 ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Kayis Topaksu, A. GRID:grid.98622.37 ROR:https://ror.org/05wxkj555 Cukurova U. University of Cukurova, Faculty of Science and Letters, Department of Physics, 01330 Adana, Turkey Kildetoft, B. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Kordas, K. GRID:grid.4793.9 ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Leisos, A. GRID:grid.55939.33 ROR:https://ror.org/02kq26x23 Hellenic Open U., Patras Physics Laboratory, School of Science and Technology, Hellenic Open University, 26335 Patras, Greece Lindroos, M. GRID:grid.434715.0 GRID:grid.4514.4 ROR:https://ror.org/012a77v79 ESS, Lund Lund U. European Spallation Source, Box 176, SE-221 00 Lund, Sweden Department of Physics, Lund University, P. O Box 118, 221 00 Lund, Sweden Longhin, A. GRID:grid.470212.2 ROR:https://ror.org/00240q980 ROR:https://ror.org/00z34yn88 Padua U. INFN, Padua Department of Physics and Astronomy “G. Galilei”, University of Padova and INFN Sezione di Padova, Padova, Italy Maiano, C. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Marangoni, S. GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Marrelli, C. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, 1211 Geneva 23, Switzerland Meloni, D. GRID:grid.8509.4 ROR:https://ror.org/05vf0dg29 Rome III U. Dipartimento di Matematica e Fisica, Università di Roma Tre, Via della Vasca Navale 84, 00146 Rome, Italy Mezzetto, M. GRID:grid.470212.2 ROR:https://ror.org/00z34yn88 INFN, Padua INFN Sez. di Padova, Padova, Italy Milas, N. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Muñoz, J.L. GRID:grid.420161.0 ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain Niewczas, K. GRID:grid.5342.0 ROR:https://ror.org/00cv9y106 Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Oglakci, M. GRID:grid.98622.37 ROR:https://ror.org/05wxkj555 Cukurova U. University of Cukurova, Faculty of Science and Letters, Department of Physics, 01330 Adana, Turkey Ohlsson, T. tohlsson@kth.se GRID:grid.5037.1 GRID:grid.411313.5 ROR:https://ror.org/026vcq606 ROR:https://ror.org/044kkfr75 Royal Inst. Tech., Stockholm AlbaNova U. Ctr. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Olvegård, M. GRID:grid.8993.b ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Pari, M. GRID:grid.470212.2 ROR:https://ror.org/00240q980 ROR:https://ror.org/00z34yn88 Padua U. INFN, Padua Department of Physics and Astronomy “G. Galilei”, University of Padova and INFN Sezione di Padova, Padova, Italy Patrzalek, D. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Petkov, G. GRID:grid.11355.33 ROR:https://ror.org/02jv3k292 Sofiya U. Sofia University St. Kliment Ohridski, Faculty of Physics, 1164 Sofia, Bulgaria Petridou, Ch. GRID:grid.4793.9 ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Poussot, P. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Psallidas, A. GRID:grid.450262.7 ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Pupilli, F. GRID:grid.470212.2 ROR:https://ror.org/00z34yn88 INFN, Padua INFN Sez. di Padova, Padova, Italy Saiang, D. GRID:grid.6926.b Lulea U. Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, SE-971 87, Lulea, Sweden Sampsonidis, D. GRID:grid.4793.9 ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Schwab, C. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Sordo, F. GRID:grid.420161.0 ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain Sosa, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, 1211 Geneva 23, Switzerland Stavropoulos, G. GRID:grid.450262.7 ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Tarkeshian, R. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Terranova, F. GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Tolba, T. GRID:grid.9026.d ROR:https://ror.org/00g30e956 Hamburg U. Institute for Experimental Physics, Hamburg University, 22761 Hamburg, Germany Trachanas, E. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Tsenov, R. GRID:grid.11355.33 ROR:https://ror.org/02jv3k292 Sofiya U. Sofia University St. Kliment Ohridski, Faculty of Physics, 1164 Sofia, Bulgaria Tsirigotis, A. GRID:grid.55939.33 ROR:https://ror.org/02kq26x23 Hellenic Open U., Patras Physics Laboratory, School of Science and Technology, Hellenic Open University, 26335 Patras, Greece Tzamarias, S.E. GRID:grid.4793.9 ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Vankova-Kirilova, G. GRID:grid.11355.33 ROR:https://ror.org/02jv3k292 Sofiya U. Sofia University St. Kliment Ohridski, Faculty of Physics, 1164 Sofia, Bulgaria Vassilopoulos, N. GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 Beijing, Inst. High Energy Phys. Institute of High Energy Physics (IHEP) Dongguan Campus, Chinese Academy of Sciences (CAS), 523803 Guangdong, China Vihonen, S. ORCID:0000-0001-7761-2847 vihonen@kth.se GRID:grid.5037.1 GRID:grid.411313.5 ROR:https://ror.org/026vcq606 ROR:https://ror.org/044kkfr75 Royal Inst. Tech., Stockholm AlbaNova U. Ctr. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Wurtz, J. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Zeter, V. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Zormpa, O. GRID:grid.450262.7 ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece ESSnuSB Collaboration 187 JHEP 2410 2024 2549713 90120 http://cds.cern.ch/record/2906211/files/Geometry.png 00000 Illustration of the detector fiducial volume geometry used to describe the far detector setup in ESSnuSB. The detector active target consists entirely of ultra-pure water with 88.89\% and 11.11\% of $^{16}$O and $^1$H atoms, respectively. The total fiducial mass of the two-detector complex is 540~kt. The image was created using the ROOT geometry package~\cite{Brun:1997pa}. 2549714 428293 http://cds.cern.ch/record/2906211/files/Oscillograms.png 00001 Neutrino oscillation probabilities for $\nu_\mu \rightarrow \nu_e$ (top-left), $\nu_\mu \rightarrow \nu_\mu$ (top-right), $\bar{\nu}_\mu \rightarrow \bar{\nu}_e$ (bottom-left) and $\bar{\nu}_\mu \rightarrow \bar{\nu}_\mu$ (bottom-right) channels as function of neutrino energy and neutrino cosine zenith angle. The probabilities were calculated at the global best-fit values of the neutrino oscillation parameters assuming normal ordering~\cite{Esteban:2020cvm}. 2549715 58875 http://cds.cern.ch/record/2906211/files/All_events.png 00002 Expected atmospheric neutrino spectrum in the ESSnuSB far detectors. Left panels show the total number of atmospheric neutrino events assuming normal neutrino mass ordering. Right panels present the relative differences in the atmospheric neutrino events under the normal ordering (NO) hypothesis. 2549716 12487 http://cds.cern.ch/record/2906211/files/Exposures.png 00006 Time dependence for the mass ordering and octant sensitivities in ESSnuSB far detector. The sensitivities are presented as a function of time which the ESSnuSB far detector is able to detect atmospheric neutrinos. The sensitivities are presented for both assuming normal and inverted orderings, whereas the line widths arise from the uncertainty on $\delta_{CP}$. 2549717 1065693 http://cds.cern.ch/record/2906211/files/2407.21663.pdf Fulltext 2549718 13459 http://cds.cern.ch/record/2906211/files/Sensitivities.png 00004 Mass ordering and octant sensitivities in the ESSnuSB far detector with atmospheric neutrinos. Sensitivities are presented as functions of the true value of $\sin^2 \theta_{23}$, while assuming either normal ordering (blue bands) or inverted ordering (red hashes) as the true neutrino mass ordering. The line widths arise from varying the true value of $\delta_{CP}$. 2549719 17156 http://cds.cern.ch/record/2906211/files/Precisions.png 00005 Precision to $\sin^2 \theta_{23}$ and $\Delta m_{31}^2$ in ESSnuSB far detector by measuring atmospheric neutrino oscillations. $CP$ phase has been varied over $\delta_{CP} \in [0, 2\pi)$. Shaded areas indicate the allowed values of $\sin^2 \theta_{23}$ and $|\Delta m_{31}^2|$ at 3$\sigma$~CL for normal ordering (dark grey) and inverted ordering (light grey), respectively. 2563655 58585 http://cds.cern.ch/record/2906211/files/All_events_IO.png 00003 Expected atmospheric neutrino spectrum in the ESSnuSB far detectors in the case of inverted ordering. Left panels present the total number of atmospheric neutrino events, whereas right panels show the relative differences. The true neutrino mass ordering is assumed to be the inverted ordering (IO). 2652523 1028579 http://cds.cern.ch/record/2906211/files/document.pdf Fulltext 13 ARTICLE 2906008 20241002102730.0 DOI IEEE 10.1109/CAMAD59638.2023.10478391 publication oai:cds.cern.ch:2906008 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2310.08087 oai:inspirehep.net:2774939 https://inspirehep.net/api/oai2d Inspire 2024-10-01T15:55:13Z 2024-10-02T02:01:01Z marcxml true Inspire 2774939 arXiv arXiv:2310.08087 eess.SP eng Barbieri, Luca Milan, Polytech. Politecnico di Milano, Milan, Italy Consiglio Nazionale delle Ricerche, Milan, Italy IEEE A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification 2023-11-06 2023-10-12 6 p IEEE Federated Learning (FL) methods adopt efficient communication technologies to distribute machine learning tasks across edge devices, reducing the overhead in terms of data storage and computational complexity compared to centralized solutions. Rather than moving large data volumes from producers (sensors, machines) to energy-hungry data centers, raising environmental concerns due to resource demands, FL provides an alternative solution to mitigate the energy demands of several learning tasks while enabling new Artificial Intelligence of Things (AIoT) applications. This paper proposes a framework for real-time monitoring of the energy and carbon footprint impacts of FL systems. The carbon tracking tool is evaluated for consensus (fully decentralized) and classical FL policies. For the first time, we present a quantitative evaluation of different computationally and communication efficient FL methods from the perspectives of energy consumption and carbon equivalent emissions, suggesting also general guidelines for energy-efficient design. Results indicate that consensus-driven FL implementations should be preferred for limiting carbon emissions when the energy efficiency of the communication is low (i.e., <25Kbit/Joule). Besides, quantization and sparsification operations are shown to strike a balance between learning performances and energy consumption, leading to sustainable FL designs. arXiv Federated Learning (FL) methods adopt efficient communication technologies to distribute machine learning tasks across edge devices, reducing the overhead in terms of data storage and computational complexity compared to centralized solutions. Rather than moving large data volumes from producers (sensors, machines) to energy-hungry data centers, raising environmental concerns due to resource demands, FL provides an alternative solution to mitigate the energy demands of several learning tasks while enabling new Artificial Intelligence of Things (AIoT) applications. This paper proposes a framework for real-time monitoring of the energy and carbon footprint impacts of FL systems. The carbon tracking tool is evaluated for consensus (fully decentralized) and classical FL policies. For the first time, we present a quantitative evaluation of different computationally and communication efficient FL methods from the perspectives of energy consumption and carbon equivalent emissions, suggesting also general guidelines for energy-efficient design. Results indicate that consensus-driven FL implementations should be preferred for limiting carbon emissions when the energy efficiency of the communication is low (i.e., < 25 Kbit/Joule). Besides, quantization and sparsification operations are shown to strike a balance between learning performances and energy consumption, leading to sustainable FL designs. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication IEEE 2023 CDS arXiv cs.LG SzGeCERN Computing and Computers arXiv eess.SP CERN ARTICLE Savazzi, Stefano Consiglio Nazionale delle Ricerche, Milan, Italy Kianoush, Sanaz Consiglio Nazionale delle Ricerche, Milan, Italy Nicoli, Monica Milan, Polytech. Politecnico di Milano, Milan, Italy Serio, Luigi CERN Technology Department, CERN, Geneva 23, Switzerland 213-218 2023 2549198 44361 http://cds.cern.ch/record/2906008/files/results_carbon_minst.png 00001 Analysis of the validation accuracy achieved by FA and CFA schemes under different levels of quantization and sparsification. Rings group together curves related to the same carbon footprint. 2549199 77982 http://cds.cern.ch/record/2906008/files/CFA_vs_FA.png 00000 Federated Averaging (FA) relying on (a) Parameter Server (PS) for model aggregation and (b) Consensus process based on CHOCO-SGD tool. Sparsification and quantization operations and on-device carbon tracking. 2549200 40255 http://cds.cern.ch/record/2906008/files/results_comm_efficiency.png 00002 Analysis of the validation accuracy under carbon constraints with different communication (energy) efficiencies as well as carbon intensities. 2549201 840446 http://cds.cern.ch/record/2906008/files/2310.08087.pdf Fulltext 13 2905975 213-218 edinburgh20231106 ConferencePaper ARTICLE 2910977 20250217222243.0 DOI 10.22323/1.476.1238 oai:cds.cern.ch:2910977 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN Inspire 2868164 ATL-MUON-PROC-2024-014 eng ATL-COM-MUON-2024-068 AUTHOR|(CDS)2086470 AUTHOR|(SzGeCERN)743236 Simsek, Sinem sinem.sahin@cern.ch Istinye U., Istanbul The ATLAS collaboration Mitigation of the ATLAS RPC environmental impact 2024 Geneva CERN 23 Sep 2024 6 p ATLAS RPC detectors have been operated with a gas mixture selected after extensive R$\&$D work and consisting of 94.7% R-134a, 5% i-$C_{4}H_{10}$, and 0.3% $SF_{6}$. The gas mixture has a high environmental impact, having a Global Warming Potential (GWP) of about 1400. So, all possible measures to reduce its dispersion into the atmosphere should be put in place. The contribution of RPC detectors to global warming has become more evident due to gas leakage issues experienced in ATLAS. Almost 3800 RPC chambers located in the ATLAS cavern are being damaged due to the high sensitivity of the materials used for gas inlets. The proposed solutions or mitigations of the problem ranging from the repair and prevention of detector leaks to the replacement of the actual gas with environmentally friendly mixtures will be presented. The measures already implemented and the ongoing studies with new mixtures will be also shown. PROC CERN CDS-Invenio WebSubmit SzGeCERN Particle Physics - Experiment SzGeCERN Muon CERN ATLAS RPC CERN Global Warming Potential CERN RPC Gas Leak CERN INTNOTE PRIVATLAS INTNOTEATLASPUBL ARTICLE CERN LHC ATLAS PH-EP ATLAS Collaboration 1238 PoS ICHEP2024 C24-07-17 2025 http://cds.cern.ch/record/2909621 Original Communication (restricted to ATLAS) 2558290 1601954 http://cds.cern.ch/record/2910977/files/ATL-MUON-PROC-2024-014.pdf Stamped by WebSubmit: 23/09/2024 sinem.sahin@cern.ch giulio.aielli@cern.ch davide.boscherini@cern.ch n 202470 91 2900723 1238 prague20240718 PUBLIC 000784338CER INTNOTEATLASPUBL ConferencePaper ARTICLE 2910049 20250217092030.0 DOI SISSA 10.22323/1.476.0872 oai:cds.cern.ch:2910049 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2867522 2025-02-13T16:37:15Z 2025-02-14T05:09:01Z marcxml Inspire 2867522 ATL-MUON-PROC-2024-010 eng ATL-COM-MUON-2024-054 AUTHOR|(CDS)2677565 AUTHOR|(SzGeCERN)840612 Ballabene, Eric eric.ballabene@cern.ch INFN, Bologna Bologna U. The ATLAS collaboration Performance of ATLAS RPC detectors and L1 Muon Barrel Trigger with a new CO$_2$-based gas mixture 2024 Geneva CERN 13 Sep 2024 6 p Resistive Plate Chambers are used in the ATLAS experiment for triggering muons in the barrel region. These detectors use a Freon-based gas mixture containing C$_2$H$_2$F$_4$ and SF$_6$, high global warming potential greenhouse gases. To reduce the greenhouse gas emissions and cost, it is crucial to search for new environmentally friendly gas mixtures. In August 2023, at the end of the proton-proton data-taking campaign, ATLAS collaboration decided to replace the standard gas mixture (94.7% C$_2$H$_2$F$_4$, 5.0% i-C$_4$H$_{10}$, 0.3% SF$_6$) with a new CO$_2$-based gas mixture: 64% C$_2$H$_2$F$_4$, 30% CO$_2$, 5.0% i-C$_4$H$_{10}$, 1% SF$_6$. The performance of the RPC detectors with the new gas mixture is presented with a particular emphasis on detector efficiency, cluster size and timing performance, as well as the efficiency of the L1 Muon Barrel trigger system. CC-BY-NC-ND-4.0 SISSA https://creativecommons.org/licenses/by-nc-nd/4.0/ PROC CERN CDS-Invenio WebSubmit For annual report SzGeCERN Particle Physics - Experiment SzGeCERN Detectors and Experimental Techniques SzGeCERN Muon CERN ATLAS RPC CERN Resistive Plate Chamber CERN L1 Muon Trigger CERN RPC Run3 ARTICLE CERN INTNOTE PRIVATLAS INTNOTEATLASPUBL CERN LHC ATLAS PH-EP ATLAS Collaboration 872 PoS ICHEP2024 C24-07-17 2025 http://cds.cern.ch/record/2908481 Original Communication (restricted to ATLAS) 2556581 1054110 http://cds.cern.ch/record/2910049/files/ATL-MUON-PROC-2024-010.pdf Stamped by WebSubmit: 13/09/2024 eric.ballabene@cern.ch n 202470 91 13 2900723 872 prague20240718 PUBLIC 000784133CER INTNOTEATLASPUBL ARTICLE ConferencePaper 2924319 2910026 20241002152132.0 oai:cds.cern.ch:2910026 cerncds:FULLTEXT OPEN-PHO-MISC-2024-003 AUTHOR|(CDS)2086825 AUTHOR|(SzGeCERN)742784 Caraban Gonzalez, Noemi noemi.caraban.gonzalez@cern.ch Arts at CERN wins the European Commission’s S+T+ARTS Grand Prize for Innovative Collaboration 2024 Geneva CERN 2024-09-05 General Photo Arts at CERN was awarded the European Commission's S+T+ARTS Grand Prize for Innovative Collaboration. Arts at CERN wins this Grand Prize for groundbreaking initiatives at the nexus of science, technology and the arts. The European Commission’s S+T+ARTS initiative has awarded Arts at CERN, the arts programme of the Laboratory, the prestigious Grand Prize for Innovative Collaboration in recognition of its efforts to establish transformative collaborations that connect society with science and research. Grand Prize ceremony took place at the Ars Electronica Festival in Linz, Austria, where Arts at CERN presented an exhibition highlighting the collaborative nature of its programmes. Noemi Caraban Noemi Caraban 2024 CERN EDS OPEN SzGeCERN Open SzGeCERN Miscellaneous CERN arts CERN CERN CERN ARS CERN electronica CERN award CERN Miscellaneous CERN PHOTO 2556512 1352688 http://cds.cern.ch/record/2910026/files/Ars Electronica-2.jpg?subformat=icon-1440 icon-1440 2556512 147804 http://cds.cern.ch/record/2910026/files/Ars Electronica-2.jpg?subformat=icon-180 icon-180 2556512 32548489 http://cds.cern.ch/record/2910026/files/Ars Electronica-2.jpg ARTS at CERN Exhibit at ARS ELECTRONICA 2556512 413583 http://cds.cern.ch/record/2910026/files/Ars Electronica-2.jpg?subformat=icon-640 icon-640 2556513 1496802 http://cds.cern.ch/record/2910026/files/Ars Electronica-3.jpg?subformat=icon-1440 icon-1440 2556513 153196 http://cds.cern.ch/record/2910026/files/Ars Electronica-3.jpg?subformat=icon-180 icon-180 2556513 32111286 http://cds.cern.ch/record/2910026/files/Ars Electronica-3.jpg ARTS at CERN Exhibit at ARS ELECTRONICA 2556513 457230 http://cds.cern.ch/record/2910026/files/Ars Electronica-3.jpg?subformat=icon-640 icon-640 2556514 154050 http://cds.cern.ch/record/2910026/files/Ars Electronica-4.jpg?subformat=icon-180 icon-180 2556514 1594070 http://cds.cern.ch/record/2910026/files/Ars Electronica-4.jpg?subformat=icon-1440 icon-1440 2556514 35610055 http://cds.cern.ch/record/2910026/files/Ars Electronica-4.jpg ARTS at CERN Exhibit at ARS ELECTRONICA 2556514 467918 http://cds.cern.ch/record/2910026/files/Ars Electronica-4.jpg?subformat=icon-640 icon-640 2556515 1093845 http://cds.cern.ch/record/2910026/files/Ars Electronica-5.jpg?subformat=icon-1440 icon-1440 2556515 135906 http://cds.cern.ch/record/2910026/files/Ars Electronica-5.jpg?subformat=icon-180 icon-180 2556515 28388199 http://cds.cern.ch/record/2910026/files/Ars Electronica-5.jpg ARTS at CERN Exhibit at ARS ELECTRONICA 2556515 332212 http://cds.cern.ch/record/2910026/files/Ars Electronica-5.jpg?subformat=icon-640 icon-640 2556516 1408492 http://cds.cern.ch/record/2910026/files/Ars Electronica-6.jpg?subformat=icon-1440 icon-1440 2556516 145765 http://cds.cern.ch/record/2910026/files/Ars Electronica-6.jpg?subformat=icon-180 icon-180 2556516 30284769 http://cds.cern.ch/record/2910026/files/Ars Electronica-6.jpg ARTS at CERN Exhibit at ARS ELECTRONICA 2556516 418165 http://cds.cern.ch/record/2910026/files/Ars Electronica-6.jpg?subformat=icon-640 icon-640 2556517 128052 http://cds.cern.ch/record/2910026/files/Ars Electronica-7.jpg?subformat=icon-180 icon-180 2556517 18003845 http://cds.cern.ch/record/2910026/files/Ars Electronica-7.jpg ARS ELECTRONICA 2556517 329082 http://cds.cern.ch/record/2910026/files/Ars Electronica-7.jpg?subformat=icon-640 icon-640 2556517 990560 http://cds.cern.ch/record/2910026/files/Ars Electronica-7.jpg?subformat=icon-1440 icon-1440 2556518 121571 http://cds.cern.ch/record/2910026/files/Ars Electronica-8.jpg?subformat=icon-180 icon-180 2556518 1565627 http://cds.cern.ch/record/2910026/files/Ars Electronica-8.jpg?subformat=icon-1440 icon-1440 2556518 374936 http://cds.cern.ch/record/2910026/files/Ars Electronica-8.jpg?subformat=icon-640 icon-640 2556518 44851158 http://cds.cern.ch/record/2910026/files/Ars Electronica-8.jpg ARS ELECTRONICA 2556519 1267745 http://cds.cern.ch/record/2910026/files/Ars Electronica-9.jpg?subformat=icon-1440 icon-1440 2556519 144714 http://cds.cern.ch/record/2910026/files/Ars Electronica-9.jpg?subformat=icon-180 icon-180 2556519 34150835 http://cds.cern.ch/record/2910026/files/Ars Electronica-9.jpg ARTS at CERN Exhibit at ARS ELECTRONICA 2556519 383134 http://cds.cern.ch/record/2910026/files/Ars Electronica-9.jpg?subformat=icon-640 icon-640 2556520 128410 http://cds.cern.ch/record/2910026/files/Ars Electronica-10.jpg?subformat=icon-180 icon-180 2556520 22323448 http://cds.cern.ch/record/2910026/files/Ars Electronica-10.jpg ARTS at CERN Exhibit at ARS ELECTRONICA 2556520 295421 http://cds.cern.ch/record/2910026/files/Ars Electronica-10.jpg?subformat=icon-640 icon-640 2556520 912756 http://cds.cern.ch/record/2910026/files/Ars Electronica-10.jpg?subformat=icon-1440 icon-1440 2556521 1308847 http://cds.cern.ch/record/2910026/files/Ars Electronica-11.jpg?subformat=icon-1440 icon-1440 2556521 136400 http://cds.cern.ch/record/2910026/files/Ars Electronica-11.jpg?subformat=icon-180 icon-180 2556521 23623752 http://cds.cern.ch/record/2910026/files/Ars Electronica-11.jpg ARS ELECTRONICA 2556521 370631 http://cds.cern.ch/record/2910026/files/Ars Electronica-11.jpg?subformat=icon-640 icon-640 2556522 1237416 http://cds.cern.ch/record/2910026/files/Ars Electronica-12.jpg?subformat=icon-1440 icon-1440 2556522 132636 http://cds.cern.ch/record/2910026/files/Ars Electronica-12.jpg?subformat=icon-180 icon-180 2556522 335766 http://cds.cern.ch/record/2910026/files/Ars Electronica-12.jpg?subformat=icon-640 icon-640 2556522 46816888 http://cds.cern.ch/record/2910026/files/Ars Electronica-12.jpg ARS ELECTRONICA 2556523 122911 http://cds.cern.ch/record/2910026/files/Ars Electronica-13.jpg?subformat=icon-180 icon-180 2556523 273839 http://cds.cern.ch/record/2910026/files/Ars Electronica-13.jpg?subformat=icon-640 icon-640 2556523 38621299 http://cds.cern.ch/record/2910026/files/Ars Electronica-13.jpg ARS ELECTRONICA 2556523 957336 http://cds.cern.ch/record/2910026/files/Ars Electronica-13.jpg?subformat=icon-1440 icon-1440 2556524 127773 http://cds.cern.ch/record/2910026/files/Ars Electronica-14.jpg?subformat=icon-180 icon-180 2556524 287158 http://cds.cern.ch/record/2910026/files/Ars Electronica-14.jpg?subformat=icon-640 icon-640 2556524 39140100 http://cds.cern.ch/record/2910026/files/Ars Electronica-14.jpg ARS ELECTRONICA 2556524 994865 http://cds.cern.ch/record/2910026/files/Ars Electronica-14.jpg?subformat=icon-1440 icon-1440 2556525 1000293 http://cds.cern.ch/record/2910026/files/Ars Electronica-15.jpg?subformat=icon-1440 icon-1440 2556525 127438 http://cds.cern.ch/record/2910026/files/Ars Electronica-15.jpg?subformat=icon-180 icon-180 2556525 289370 http://cds.cern.ch/record/2910026/files/Ars Electronica-15.jpg?subformat=icon-640 icon-640 2556525 38777659 http://cds.cern.ch/record/2910026/files/Ars Electronica-15.jpg ARS ELECTRONICA 2556526 125429 http://cds.cern.ch/record/2910026/files/Ars Electronica-16.jpg?subformat=icon-180 icon-180 2556526 25122171 http://cds.cern.ch/record/2910026/files/Ars Electronica-16.jpg ARS ELECTRONICA 2556526 307153 http://cds.cern.ch/record/2910026/files/Ars Electronica-16.jpg?subformat=icon-640 icon-640 2556526 977431 http://cds.cern.ch/record/2910026/files/Ars Electronica-16.jpg?subformat=icon-1440 icon-1440 2556527 153177 http://cds.cern.ch/record/2910026/files/Ars Electronica-17.jpg?subformat=icon-180 icon-180 2556527 1596591 http://cds.cern.ch/record/2910026/files/Ars Electronica-17.jpg?subformat=icon-1440 icon-1440 2556527 18131688 http://cds.cern.ch/record/2910026/files/Ars Electronica-17.jpg ARS ELECTRONICA 2556527 437766 http://cds.cern.ch/record/2910026/files/Ars Electronica-17.jpg?subformat=icon-640 icon-640 2556528 1346540 http://cds.cern.ch/record/2910026/files/Ars Electronica-18.jpg?subformat=icon-1440 icon-1440 2556528 143895 http://cds.cern.ch/record/2910026/files/Ars Electronica-18.jpg?subformat=icon-180 icon-180 2556528 31478368 http://cds.cern.ch/record/2910026/files/Ars Electronica-18.jpg ARS ELECTRONICA 2556528 406286 http://cds.cern.ch/record/2910026/files/Ars Electronica-18.jpg?subformat=icon-640 icon-640 2556529 1306845 http://cds.cern.ch/record/2910026/files/Ars Electronica-19.jpg?subformat=icon-1440 icon-1440 2556529 137573 http://cds.cern.ch/record/2910026/files/Ars Electronica-19.jpg?subformat=icon-180 icon-180 2556529 377421 http://cds.cern.ch/record/2910026/files/Ars Electronica-19.jpg?subformat=icon-640 icon-640 2556529 43147021 http://cds.cern.ch/record/2910026/files/Ars Electronica-19.jpg ARS ELECTRONICA 2556530 1289970 http://cds.cern.ch/record/2910026/files/Ars Electronica-20.jpg?subformat=icon-1440 icon-1440 2556530 145082 http://cds.cern.ch/record/2910026/files/Ars Electronica-20.jpg?subformat=icon-180 icon-180 2556530 380432 http://cds.cern.ch/record/2910026/files/Ars Electronica-20.jpg?subformat=icon-640 icon-640 2556530 40295474 http://cds.cern.ch/record/2910026/files/Ars Electronica-20.jpg ARS ELECTRONICA 2556531 1118504 http://cds.cern.ch/record/2910026/files/Ars Electronica-21.jpg?subformat=icon-1440 icon-1440 2556531 131480 http://cds.cern.ch/record/2910026/files/Ars Electronica-21.jpg?subformat=icon-180 icon-180 2556531 13885736 http://cds.cern.ch/record/2910026/files/Ars Electronica-21.jpg ARS ELECTRONICA 2556531 336584 http://cds.cern.ch/record/2910026/files/Ars Electronica-21.jpg?subformat=icon-640 icon-640 2556532 101535 http://cds.cern.ch/record/2910026/files/Ars Electronica-22.jpg?subformat=icon-180 icon-180 2556532 16797509 http://cds.cern.ch/record/2910026/files/Ars Electronica-22.jpg ARS ELECTRONICA 2556532 236901 http://cds.cern.ch/record/2910026/files/Ars Electronica-22.jpg?subformat=icon-640 icon-640 2556532 789711 http://cds.cern.ch/record/2910026/files/Ars Electronica-22.jpg?subformat=icon-1440 icon-1440 2556533 1096132 http://cds.cern.ch/record/2910026/files/Ars Electronica-23.jpg?subformat=icon-1440 icon-1440 2556533 134516 http://cds.cern.ch/record/2910026/files/Ars Electronica-23.jpg?subformat=icon-180 icon-180 2556533 27875989 http://cds.cern.ch/record/2910026/files/Ars Electronica-23.jpg ARS ELECTRONICA 2556533 343956 http://cds.cern.ch/record/2910026/files/Ars Electronica-23.jpg?subformat=icon-640 icon-640 2556534 1117279 http://cds.cern.ch/record/2910026/files/Ars Electronica-24.jpg?subformat=icon-1440 icon-1440 2556534 140778 http://cds.cern.ch/record/2910026/files/Ars Electronica-24.jpg?subformat=icon-180 icon-180 2556534 28672446 http://cds.cern.ch/record/2910026/files/Ars Electronica-24.jpg ARS ELECTRONICA 2556534 361018 http://cds.cern.ch/record/2910026/files/Ars Electronica-24.jpg?subformat=icon-640 icon-640 2556535 122259 http://cds.cern.ch/record/2910026/files/Ars Electronica-25.jpg?subformat=icon-180 icon-180 2556535 26485917 http://cds.cern.ch/record/2910026/files/Ars Electronica-25.jpg ARS ELECTRONICA 2556535 274112 http://cds.cern.ch/record/2910026/files/Ars Electronica-25.jpg?subformat=icon-640 icon-640 2556535 902733 http://cds.cern.ch/record/2910026/files/Ars Electronica-25.jpg?subformat=icon-1440 icon-1440 2556536 120308 http://cds.cern.ch/record/2910026/files/Ars Electronica-26.jpg?subformat=icon-180 icon-180 2556536 19326685 http://cds.cern.ch/record/2910026/files/Ars Electronica-26.jpg European Commission’s S+T+ARTS Grand Prize for Innovative Collaboration Ceremony 2556536 262704 http://cds.cern.ch/record/2910026/files/Ars Electronica-26.jpg?subformat=icon-640 icon-640 2556536 777042 http://cds.cern.ch/record/2910026/files/Ars Electronica-26.jpg?subformat=icon-1440 icon-1440 2556537 1153671 http://cds.cern.ch/record/2910026/files/Ars Electronica-27.jpg?subformat=icon-1440 icon-1440 2556537 135367 http://cds.cern.ch/record/2910026/files/Ars Electronica-27.jpg?subformat=icon-180 icon-180 2556537 340866 http://cds.cern.ch/record/2910026/files/Ars Electronica-27.jpg?subformat=icon-640 icon-640 2556537 39919804 http://cds.cern.ch/record/2910026/files/Ars Electronica-27.jpg European Commission’s S+T+ARTS Grand Prize for Innovative Collaboration Ceremony 2556538 153000 http://cds.cern.ch/record/2910026/files/Ars Electronica-28.jpg?subformat=icon-180 icon-180 2556538 21756934 http://cds.cern.ch/record/2910026/files/Ars Electronica-28.jpg European Commission’s S+T+ARTS Grand Prize for Innovative Collaboration Ceremony 2556538 2662166 http://cds.cern.ch/record/2910026/files/Ars Electronica-28.jpg?subformat=icon-1440 icon-1440 2556538 566298 http://cds.cern.ch/record/2910026/files/Ars Electronica-28.jpg?subformat=icon-640 icon-640 2556539 119806 http://cds.cern.ch/record/2910026/files/Ars Electronica-29.jpg?subformat=icon-180 icon-180 2556539 23875285 http://cds.cern.ch/record/2910026/files/Ars Electronica-29.jpg European Commission’s S+T+ARTS Grand Prize for Innovative Collaboration Ceremony 2556539 271983 http://cds.cern.ch/record/2910026/files/Ars Electronica-29.jpg?subformat=icon-640 icon-640 2556539 869511 http://cds.cern.ch/record/2910026/files/Ars Electronica-29.jpg?subformat=icon-1440 icon-1440 2556540 1128871 http://cds.cern.ch/record/2910026/files/Ars Electronica-30.jpg?subformat=icon-1440 icon-1440 2556540 133910 http://cds.cern.ch/record/2910026/files/Ars Electronica-30.jpg?subformat=icon-180 icon-180 2556540 27856133 http://cds.cern.ch/record/2910026/files/Ars Electronica-30.jpg European Commission’s S+T+ARTS Grand Prize for Innovative Collaboration 2556540 338998 http://cds.cern.ch/record/2910026/files/Ars Electronica-30.jpg?subformat=icon-640 icon-640 2556541 1200790 http://cds.cern.ch/record/2910026/files/Ars Electronica-31.jpg?subformat=icon-1440 icon-1440 2556541 139058 http://cds.cern.ch/record/2910026/files/Ars Electronica-31.jpg?subformat=icon-180 icon-180 2556541 30139404 http://cds.cern.ch/record/2910026/files/Ars Electronica-31.jpg European Commission’s S+T+ARTS Grand Prize for Innovative Collaboration 2556541 361258 http://cds.cern.ch/record/2910026/files/Ars Electronica-31.jpg?subformat=icon-640 icon-640 2556542 1199926 http://cds.cern.ch/record/2910026/files/Ars Electronica-32.jpg?subformat=icon-1440 icon-1440 2556542 127983 http://cds.cern.ch/record/2910026/files/Ars Electronica-32.jpg?subformat=icon-180 icon-180 2556542 33154354 http://cds.cern.ch/record/2910026/files/Ars Electronica-32.jpg European Commission’s S+T+ARTS Grand Prize for Innovative Collaboration 2556542 335074 http://cds.cern.ch/record/2910026/files/Ars Electronica-32.jpg?subformat=icon-640 icon-640 2556543 116793 http://cds.cern.ch/record/2910026/files/Ars Electronica-33.jpg?subformat=icon-180 icon-180 2556543 20570591 http://cds.cern.ch/record/2910026/files/Ars Electronica-33.jpg European Commission’s S+T+ARTS Grand Prize for Innovative Collaboration 2556543 278793 http://cds.cern.ch/record/2910026/files/Ars Electronica-33.jpg?subformat=icon-640 icon-640 2556543 976154 http://cds.cern.ch/record/2910026/files/Ars Electronica-33.jpg?subformat=icon-1440 icon-1440 2556544 114654 http://cds.cern.ch/record/2910026/files/Ars Electronica-34.jpg?subformat=icon-180 icon-180 2556544 24396873 http://cds.cern.ch/record/2910026/files/Ars Electronica-34.jpg European Commission’s S+T+ARTS Grand Prize for Innovative Collaboration 2556544 259858 http://cds.cern.ch/record/2910026/files/Ars Electronica-34.jpg?subformat=icon-640 icon-640 2556544 876728 http://cds.cern.ch/record/2910026/files/Ars Electronica-34.jpg?subformat=icon-1440 icon-1440 2556545 113229 http://cds.cern.ch/record/2910026/files/Ars Electronica-35.jpg?subformat=icon-180 icon-180 2556545 24343585 http://cds.cern.ch/record/2910026/files/Ars Electronica-35.jpg European Commission’s S+T+ARTS Grand Prize for Innovative Collaboration 2556545 258731 http://cds.cern.ch/record/2910026/files/Ars Electronica-35.jpg?subformat=icon-640 icon-640 2556545 869904 http://cds.cern.ch/record/2910026/files/Ars Electronica-35.jpg?subformat=icon-1440 icon-1440 2556546 1389497 http://cds.cern.ch/record/2910026/files/Ars Electronica-36.jpg?subformat=icon-1440 icon-1440 2556546 143192 http://cds.cern.ch/record/2910026/files/Ars Electronica-36.jpg?subformat=icon-180 icon-180 2556546 20796801 http://cds.cern.ch/record/2910026/files/Ars Electronica-36.jpg European Commission’s S+T+ARTS Grand Prize for Innovative Collaboration 2556546 406669 http://cds.cern.ch/record/2910026/files/Ars Electronica-36.jpg?subformat=icon-640 icon-640 2556547 1000852 http://cds.cern.ch/record/2910026/files/Ars Electronica-39.jpg?subformat=icon-1440 icon-1440 2556547 160631 http://cds.cern.ch/record/2910026/files/Ars Electronica-39.jpg?subformat=icon-180 icon-180 2556547 26841533 http://cds.cern.ch/record/2910026/files/Ars Electronica-39.jpg ARS ELECTRONICA European Commission’s S+T+ARTS Grand Prize for Innovative Collaboration 2556547 341595 http://cds.cern.ch/record/2910026/files/Ars Electronica-39.jpg?subformat=icon-640 icon-640 2556548 184408 http://cds.cern.ch/record/2910026/files/Ars Electronica-40.jpg?subformat=icon-180 icon-180 2556548 23456506 http://cds.cern.ch/record/2910026/files/Ars Electronica-40.jpg ARS ELECTRONICA European Commission’s S+T+ARTS Grand Prize for Innovative Collaboration 2556548 2704975 http://cds.cern.ch/record/2910026/files/Ars Electronica-40.jpg?subformat=icon-1440 icon-1440 2556548 787739 http://cds.cern.ch/record/2910026/files/Ars Electronica-40.jpg?subformat=icon-640 icon-640 2556549 139570 http://cds.cern.ch/record/2910026/files/Ars Electronica-41.jpg?subformat=icon-180 icon-180 2556549 1552424 http://cds.cern.ch/record/2910026/files/Ars Electronica-41.jpg?subformat=icon-1440 icon-1440 2556549 28911713 http://cds.cern.ch/record/2910026/files/Ars Electronica-41.jpg ARS ELECTRONICA European Commission’s S+T+ARTS Grand Prize for Innovative Collaboration 2556549 433044 http://cds.cern.ch/record/2910026/files/Ars Electronica-41.jpg?subformat=icon-640 icon-640 2556550 1157510 http://cds.cern.ch/record/2910026/files/Ars Electronica-42.jpg?subformat=icon-1440 icon-1440 2556550 135879 http://cds.cern.ch/record/2910026/files/Ars Electronica-42.jpg?subformat=icon-180 icon-180 2556550 33097429 http://cds.cern.ch/record/2910026/files/Ars Electronica-42.jpg ARS ELECTRONICA European Commission’s S+T+ARTS Grand Prize for Innovative Collaboration 2556550 343254 http://cds.cern.ch/record/2910026/files/Ars Electronica-42.jpg?subformat=icon-640 icon-640 2556551 132390 http://cds.cern.ch/record/2910026/files/Ars Electronica-43.jpg?subformat=icon-180 icon-180 2556551 1339129 http://cds.cern.ch/record/2910026/files/Ars Electronica-43.jpg?subformat=icon-1440 icon-1440 2556551 33385450 http://cds.cern.ch/record/2910026/files/Ars Electronica-43.jpg ARS ELECTRONICA 2556551 375749 http://cds.cern.ch/record/2910026/files/Ars Electronica-43.jpg?subformat=icon-640 icon-640 2556552 1324485 http://cds.cern.ch/record/2910026/files/Ars Electronica-44.jpg?subformat=icon-1440 icon-1440 2556552 134200 http://cds.cern.ch/record/2910026/files/Ars Electronica-44.jpg?subformat=icon-180 icon-180 2556552 36342384 http://cds.cern.ch/record/2910026/files/Ars Electronica-44.jpg ARS ELECTRONICA 2556552 380108 http://cds.cern.ch/record/2910026/files/Ars Electronica-44.jpg?subformat=icon-640 icon-640 2556553 1099029 http://cds.cern.ch/record/2910026/files/Ars Electronica-45.jpg?subformat=icon-1440 icon-1440 2556553 120500 http://cds.cern.ch/record/2910026/files/Ars Electronica-45.jpg?subformat=icon-180 icon-180 2556553 27639767 http://cds.cern.ch/record/2910026/files/Ars Electronica-45.jpg ARS ELECTRONICA 2556553 311975 http://cds.cern.ch/record/2910026/files/Ars Electronica-45.jpg?subformat=icon-640 icon-640 2556554 140735 http://cds.cern.ch/record/2910026/files/Ars Electronica-46.jpg?subformat=icon-180 icon-180 2556554 1410455 http://cds.cern.ch/record/2910026/files/Ars Electronica-46.jpg?subformat=icon-1440 icon-1440 2556554 32796834 http://cds.cern.ch/record/2910026/files/Ars Electronica-46.jpg ARS ELECTRONICA 2556554 401128 http://cds.cern.ch/record/2910026/files/Ars Electronica-46.jpg?subformat=icon-640 icon-640 2556555 1038449 http://cds.cern.ch/record/2910026/files/Ars Electronica-47.jpg?subformat=icon-1440 icon-1440 2556555 124769 http://cds.cern.ch/record/2910026/files/Ars Electronica-47.jpg?subformat=icon-180 icon-180 2556555 25060946 http://cds.cern.ch/record/2910026/files/Ars Electronica-47.jpg ARS ELECTRONICA 2556555 312623 http://cds.cern.ch/record/2910026/files/Ars Electronica-47.jpg?subformat=icon-640 icon-640 2556556 1121119 http://cds.cern.ch/record/2910026/files/Ars Electronica-48.jpg?subformat=icon-1440 icon-1440 2556556 130378 http://cds.cern.ch/record/2910026/files/Ars Electronica-48.jpg?subformat=icon-180 icon-180 2556556 28756812 http://cds.cern.ch/record/2910026/files/Ars Electronica-48.jpg ARS ELECTRONICA 2556556 328424 http://cds.cern.ch/record/2910026/files/Ars Electronica-48.jpg?subformat=icon-640 icon-640 2556557 1174110 http://cds.cern.ch/record/2910026/files/Ars Electronica-49.jpg?subformat=icon-1440 icon-1440 2556557 137158 http://cds.cern.ch/record/2910026/files/Ars Electronica-49.jpg?subformat=icon-180 icon-180 2556557 27865056 http://cds.cern.ch/record/2910026/files/Ars Electronica-49.jpg ARS ELECTRONICA 2556557 363516 http://cds.cern.ch/record/2910026/files/Ars Electronica-49.jpg?subformat=icon-640 icon-640 2556558 143894 http://cds.cern.ch/record/2910026/files/Ars Electronica-50.jpg?subformat=icon-180 icon-180 2556558 24004180 http://cds.cern.ch/record/2910026/files/Ars Electronica-50.jpg ARS ELECTRONICA 2556558 337750 http://cds.cern.ch/record/2910026/files/Ars Electronica-50.jpg?subformat=icon-640 icon-640 2556558 964924 http://cds.cern.ch/record/2910026/files/Ars Electronica-50.jpg?subformat=icon-1440 icon-1440 2556559 1390980 http://cds.cern.ch/record/2910026/files/Ars Electronica.jpg?subformat=icon-1440 icon-1440 2556559 144501 http://cds.cern.ch/record/2910026/files/Ars Electronica.jpg?subformat=icon-180 icon-180 2556559 402654 http://cds.cern.ch/record/2910026/files/Ars Electronica.jpg?subformat=icon-640 icon-640 2556559 42095358 http://cds.cern.ch/record/2910026/files/Ars Electronica.jpg ARS ELECTRONICA noemi.caraban.gonzalez@cern.ch n 202437 ARS Electronica 86 VISIBLE PHOTOOPEN 2909983 20260317185959.0 oai:cds.cern.ch:2909983 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2408.12445 Inspire oai:inspirehep.net:2820670 2024-09-17T09:20:20Z 2024-09-18T02:50:47Z marcxml true https://inspirehep.net/api/oai2d Inspire 2820670 arXiv arXiv:2408.12445 hep-ex eng Szczepanek, Natalia natalia.diana.szczepanek@cern.ch CERN CERN, European Laboratory for Particle Physics, Geneva, Switzerland arXiv HEP Benchmark Suite: Enhancing Efficiency and Sustainability in Worldwide LHC Computing Infrastructures 2024 2024-08-22 8 p arXiv 8 pages, 7 figures, Paper submitted to the proceedings of the 22nd International Workshop on Advanced Computing and Analysis Techniques in Physics Research arXiv As the scientific community continues to push the boundaries of computing capabilities, there is a growing responsibility to address the associated energy consumption and carbon footprint. This responsibility extends to the Worldwide LHC Computing Grid (WLCG), encompassing over 170 sites in 40 countries, supporting vital computing, disk, tape storage and network for LHC experiments. Ensuring efficient operational practices across these diverse sites is crucial beyond mere performance metrics. This paper introduces the HEP Benchmark suite, an enhanced suite designed to measure computing resource performance uniformly across all WLCG sites, using HEPScore23 as performance unit. The suite expands beyond assessing only the execution speed via HEPScore23. In fact the suite incorporates metrics such as machine load, memory usage, memory swap, and notably, power consumption. Its adaptability and user-friendly interface enable comprehensive acquisition of system-related data alongside benchmarking. Throughout 2023, this tool underwent rigorous testing across numerous WLCG sites. The focus was on studying compute job slot performance and correlating these with fabric metrics. Initial analysis unveiled the tool's efficacy in establishing a standardized model for compute resource utilization while pinpointing anomalies, often stemming from site misconfigurations. This paper aims to elucidate the tool's functionality and present the results obtained from extensive testing. By disseminating this information, the objective is to raise awareness within the community about this probing model, fostering broader adoption and encouraging responsible computing practices that prioritize both performance and environmental impact mitigation. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ arXiv hep-ex SzGeCERN Particle Physics - Experiment CERN PREPRINT Britton, David Glasgow U. University of Glasgow, Glasgow, United Kingdom Di Girolamo, Alessandro CERN CERN, European Laboratory for Particle Physics, Geneva, Switzerland Ketele, Ewoud CERN CERN, European Laboratory for Particle Physics, Geneva, Switzerland Glushkov, Ivan Texas U., Arlington University of Texas, Arlington, United States Giordano, Domenico domenico.giordano@cern.ch CERN CERN, European Laboratory for Particle Physics, Geneva, Switzerland Ondris, Ladislav CERN CERN, European Laboratory for Particle Physics, Geneva, Switzerland Simili, Emanuele Glasgow U. University of Glasgow, Glasgow, United Kingdom Borge, Gonzalo Menendez CERN CERN, European Laboratory for Particle Physics, Geneva, Switzerland C24-03-11.1 2556365 163478 http://cds.cern.ch/record/2909983/files/infra-experiment.png 00000 width=1\linewidth : The HEPiX Benchmarking Solution for WLCG Computing Resources provides a reusable infrastructure suitable for various workload management systems. The HEP Benchmark Suite integrates with any job submission infrastructure, allowing jobs to be submitted to selected sites. Once the job containing the benchmarking script is executed, the results are automatically sent via message broker to dedicated database. From there, site managers, researchers, and other users can retrieve and analyze the results. 2556366 293007 http://cds.cern.ch/record/2909983/files/2630-pattern-2.png 00008 : Pattern 2: Governor study on bare-metal node vs results from the grid vs data model for Intel® Xeon® CPU E5-2630 v4 @ 2.20GHz. 2556367 319619 http://cds.cern.ch/record/2909983/files/mppmu-highlighted.png 00005 : Before the intervention, the performance at the highlighted site, in terms of score per core, was only about half of that of other sites with the same load. 2556368 55495 http://cds.cern.ch/record/2909983/files/timeseries-load.png 00002 : The timeseries data from the JSON file can be visualized to analyze performance. The top section shows load from a grid environment, while the bottom section illustrates data from a bare-metal node, highlighting differences between isolated test results and those observed in a production environment. 2556369 247061 http://cds.cern.ch/record/2909983/files/amd-acat.png 00007 : Pattern 1: Governor study on bare-metal node vs results from the grid vs data model for AMD EPYC 7302 16-Core Processor. 2556370 372202 http://cds.cern.ch/record/2909983/files/mppmu-load.png 00004 : The scatter plot of HS23/Core versus Load/Physical Core illustrates how the performance of each site varies depending on the machine load at the time of benchmarking script execution. 2556371 2216444 http://cds.cern.ch/record/2909983/files/2408.12445.pdf Fulltext 2556372 91320 http://cds.cern.ch/record/2909983/files/ScotGrid.png 00010 HEPScore/Power vs Frequency. Measurements on different hardwares show that almost all servers have a frequency that maximises the HEPScore/Watt. 2556373 626894 http://cds.cern.ch/record/2909983/files/mppmu-after-highlighted.png 00006 : After the intervention, a 66\% improvement is observed at the highlighted site, demonstrating the effectiveness of the changes and the importance of proper configuration and optimization. 2556374 74407 http://cds.cern.ch/record/2909983/files/7452-first.png 00003 : A boxplot displays HS23 per physical core data across various (ATLAS) sites (numbered 1 to 10), distinguishing between HT ON and OFF conditions. The results range from approximately 11 to 19 for HT ON, with the lines representing data collected from bare-metal nodes during the standard benchmarking procedure. 2556375 293989 http://cds.cern.ch/record/2909983/files/suite-configuraition.png 00001 : The Command Executor Plugins facilitate metric definition by allowing users to specify the metric name, command, regex, unit, and interval (in minutes, interval\_mins). 2556376 88150 http://cds.cern.ch/record/2909983/files/coefficients.png 00009 Coefficients derived from the fit line in the HS23 versus Load 2D plot, focusing on the low load region (0,1). Each point represents a different CPU model, categorized by brand and launch year. 11 2890050 stony brook20240311 ConferencePaper PREPRINT 2909982 20250123215523.0 DOI arXiv 10.1051/0004-6361/202450497 publication oai:cds.cern.ch:2909982 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2404.17623 Inspire oai:inspirehep.net:2781739 2025-01-08T10:05:19Z 2025-01-09T03:00:10Z marcxml true https://inspirehep.net/api/oai2d arXiv arXiv:2404.17623 astro-ph.HE FERMILAB-PUB-24-0804-PPD eng Algaba, J.C. ORCID:0000-0001-6993-1696 Malaya U. Department of Physics,Faculty of Science,University of Malaya,50603 Kuala Lumpur,Malaysia arXiv Broadband Multi-wavelength Properties of M87 during the 2018 EHT Campaign including a Very High Energy Flaring Episode 2024-12 2024-04-24 44 p arXiv The nearby elliptical galaxy M87 contains one of the only two supermassive black holes whose emission surrounding the event horizon has been imaged by the Event Horizon Telescope (EHT). In 2018, more than two dozen multi-wavelength (MWL) facilities (from radio to gamma-ray energies) took part in the second M87 EHT campaign. The goal of this extensive MWL campaign was to better understand the physics of the accreting black hole M87*, the relationship between the inflow and inner jets, and the high-energy particle acceleration. Understanding the complex astrophysics is also a necessary first step towards performing further tests of general relativity. The MWL campaign took place in April 2018, overlapping with the EHT M87* observations. We present a new, contemporaneous spectral energy distribution (SED) ranging from radio to very high energy (VHE) gamma-rays, as well as details of the individual observations and light curves. We also conduct phenomenological modelling to investigate the basic source properties. We present the first VHE gamma-ray flare from M87 detected since 2010. The flux above 350 GeV has more than doubled within a period of about 36 hours. We find that the X-ray flux is enhanced by about a factor of two compared to 2017, while the radio and millimetre core fluxes are consistent between 2017 and 2018. We detect evidence for a monotonically increasing jet position angle that corresponds to variations in the bright spot of the EHT image. Our results show the value of continued MWL monitoring together with precision imaging for addressing the origins of high-energy particle acceleration. While we cannot currently pinpoint the precise location where such acceleration takes place, the new VHE gamma-ray flare already presents a challenge to simple one-zone leptonic emission model approaches, and emphasises the need for combined image and spectral modelling. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication The Authors 2024 I 2024-05-02 full I 2024-05-05 printed arXiv astro-ph.GA SzGeCERN Astrophysics and Astronomy arXiv astro-ph.HE SzGeCERN Astrophysics and Astronomy ARTICLE EHT HESS MAGIC VERITAS FERMI LAT Baloković, M. ORCID:0000-0003-0476-6647 Yale Ctr. Astron. Astrophys. Yale U., Dept. Astron. Yale Center for Astronomy & Astrophysics,52 Hillhouse Avenue,New Haven,CT 06511,USA Department of Physics,Yale University,P.O. Box 2018120,New Haven,CT 06520,USA Chandra, S. ORCID:0000-0002-8776-1835 Potchefstroom U. Centre for Space Research,North-West University,Potchefstroom 2520,South Africa Cheong, W.-Y. ORCID:0009-0002-1871-5824 KASI, DaeJeon KISTI, Daejeon Korea Astronomy and Space Science Institute,Daedeok-daero 776,Yuseong-gu,Daejeon 34055,Republic of Korea University of Science and Technology,Gajeong-ro 217,Yuseong-gu,Daejeon 34113,Republic of Korea Cui, Y.-Z. ORCID:0000-0001-6311-4345 Unlisted, CN Research Center for Astronomical Computing,Zhejiang Lab,Hangzhou 311100,People's Republic of China D'Ammando, F. ORCID:0000-0001-7618-7527 Bologna, Ist. Radioastronomia INAF Istituto di Radioastronomia,Via P. Gobetti,101,I-40129 Bologna,Italy Falcone, A.D. ORCID:0000-0002-5068-7344 Penn State U., Astron. Astrophys. 525 Davey Laboratory,Department of Astronomy and Astrophysics,Pennsylvania State University,University Park,PA 16802,USA Ford, N.M. ORCID:0000-0001-8921-3624 McGill U. McGill U., Montreal (main) Department of Physics,McGill University,3600 University Street,Montréal,QC H3A 2T8,Canada Trottier Space Institute at McGill,3550 University Street,Montréal,QC H3A 2A7,Canada Giroletti, M. ORCID:0000-0001-8921-3624 Bologna, Ist. Radioastronomia INAF Istituto di Radioastronomia,Via P. Gobetti,101,I-40129 Bologna,Italy Goddi, C. ORCID:0000-0002-2542-7743 Nijmegen U., IMAPP Leiden Observ. Department of Astrophysics,Institute for Mathematics,Astrophysics and Particle Physics (IMAPP),Radboud University,P.O. Box 9010,6500 GL Nijmegen,The Netherlands Leiden Observatory-Allegro,Leiden University,P.O. Box 9513,2300 RA Leiden,The Netherlands Gurwell, M.A. ORCID:0000-0003-0685-3621 Harvard U. Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Hada, K. ORCID:0000-0001-6906-772X KASI, DaeJeon Tokyo, Grad. U. Adv. Stud. Natl. Astron. Observ. of Japan Nagoya U. Mizusawa VLBI Observatory,National Astronomical Observatory of Japan,2-12 Hoshigaoka,Mizusawa,Oshu,Iwate 023-0861,Japan Astronomical Science Program,The Graduate University for Advanced Studies (SOKENDAI),2-21-1 Osawa,Mitaka,Tokyo 181-8588,Japan Graduate School of Science,Nagoya City University,Yamanohata 1,Mizuho-cho,Mizuho-ku,Nagoya,467-8501,Aichi,Japan Haggard, D. ORCID:0000-0001-6803-2138 McGill U. Department of Physics,McGill University,3600 University Street,Montréal,QC H3A 2T8,Canada McGill Space Institute,McGill University,3550 University Street,Montréal,QC H3A 2A7,Canada Jorstad, S. ORCID:0000-0001-6158-1708 Boston U. Institute for Astrophysical Research,Boston University,725 Commonwealth Ave.,Boston 02215,MA,USA Kaur, A. ORCID:0000-0002-0878-1193 Penn State U., Astron. Astrophys. Department of Astronomy and Astrophysics,Pennsylvania State University,University Park,PA 16802,USA Kawashima, T. ORCID:0000-0001-8527-0496 Tokyo U., ICRR Institute for Cosmic Ray Research,The University of Tokyo,5-1-5 Kashiwanoha,Kashiwa,Chiba 277-8582,Japan Kerby, S. ORCID:0000-0003-2633-2196 Penn State U., Astron. Astrophys. Department of Astronomy and Astrophysics,Pennsylvania State University,University Park,PA 16802,USA Kim, J.-Y. ORCID:0000-0001-8229-7183 KASI, DaeJeon Bonn, Max Planck Inst., Radioastron. Korea Astronomy and Space Science Institute,Daedeok-daero 776,Yuseong-gu,Daejeon 34055,Republic of Korea Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Kino, M. ORCID:0000-0002-2709-7338 Natl. Astron. Observ. of Japan Kogakuin U. National Astronomical Observatory of Japan,2-21-1 Osawa,Mitaka,Tokyo 181-8588,Japan Kogakuin University of Technology & Engineering,Academic Support Center,2665-1 Nakano,Hachioji,Tokyo 192-0015,Japan Kravchenko, E.V. ORCID:0000-0003-4540-4095 Bologna, Ist. Radioastronomia INAF Istituto di Radioastronomia,Via P. Gobetti,101,I-40129 Bologna,Italy Lee, S.-S. ORCID:0000-0002-6269-594X KASI, DaeJeon Korea Astronomy and Space Science Institute,Daedeok-daero 776,Yuseong-gu,Daejeon 34055,Republic of Korea Lu, R.-S. ORCID:0000-0002-7692-7967 Shanghai, Astron. Observ. Nanjing U. Sci. Tech. Bonn, Max Planck Inst., Radioastron. Shanghai Astronomical Observatory,Chinese Academy of Sciences,80 Nandan Road,Shanghai 200030,People’s Republic of China Key Laboratory of Radio Astronomy,Chinese Academy of Sciences,Nanjing 210008,People’s Republic of China Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Markoff, S. ORCID:0000-0001-9564-0876 Amsterdam U., Astron. Inst. U. Amsterdam, GRAPPA API-Anton Pannekoek Institute for Astronomy,University of Amsterdam,Science Park 904,1098 XH Amsterdam,The Netherlands GRAPPA-Gravitation and AstroParticle Physics Amsterdam,University of Amsterdam,Science Park 904,1098 XH Amsterdam,The Netherlands Michail, J. ORCID:0000-0003-3503-3446 Northwestern U. Northwestern U. (main) Harvard U. Department of Physics and Astronomy,Northwestern University,2145 Sheridan Rd,Evanston,IL 60208,USA Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA),Northwestern University,1800 Sherman Ave,Evanston,IL 60201,USA Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Neilsen, J. ORCID:0000-0002-8247-786X Villanova U. Department of Physics,Villanova University,800 E. Lancaster Avenue,Villanova,PA 19085,USA Nowak, M.A. ORCID:0000-0001-6923-1315 Washington U., St. Louis Physics Department,Washington University CB 1105,St Louis,MO 63130,USA Principe, G. ORCID:0000-0003-0406-7387 giacomo.principe@ts.infn.it Trieste U. INFN, Trieste Bologna, Ist. Radioastronomia Dipartimento di Fisica,Università di Trieste,I-34127 Trieste,Italy Istituto Nazionale di Fisica Nucleare,Sezione di Trieste,I-34127 Trieste,Italy INAF Istituto di Radioastronomia,Via P. Gobetti,101,I-40129 Bologna,Italy Ramakrishnan, V. ORCID:0000-0002-9248-086X Concepcion U. Astronomy Department,Universidad de Concepción,Casilla 160-C,Concepción,Chile Ripperda, B. ORCID:0000-0002-7301-3908 Flatiron Inst., New York Princeton U., Astrophys. Sci. Dept. Center for Computational Astrophysics,Flatiron Institute,162 Fifth Avenue,New York,NY 10010,USA Department of Astrophysical Sciences,Peyton Hall,Princeton University,Princeton,NJ 08544,USA Sasada, M. ORCID:0000-0001-5946-9960 Hiroshima U. Hiroshima Astrophysical Science Center,Hiroshima University,1-3-1 Kagamiyama,Higashi-Hiroshima,Hiroshima 739-8526,Japan Savchenko, S.S. ORCID:0000-0003-4147-3851 Sheridan, C. ORCID:0009-0004-4581-4339 Villanova U. Department of Physics,Villanova University,800 E. Lancaster Avenue,Villanova,PA 19085,USA Akiyama, K. ORCID:0000-0002-9475-4254 MIT, LNS Natl. Astron. Observ. of Japan Harvard U. (main) Harvard-Smithsonian Ctr. Astrophys. Massachusetts Institute of Technology Haystack Observatory,99 Millstone Road,Westford,MA 01886,USA National Astronomical Observatory of Japan,2-21-1 Osawa,Mitaka,Tokyo 181-8588,Japan Black Hole Initiative at Harvard University,20 Garden Street,Cambridge,MA 02138,USA Alberdi, A. ORCID:0000-0002-9371-1033 Granada U., Theor. Phys. Astrophys. Instituto de Astrofísica de Andalucía-CSIC,Glorieta de la Astronomía s/n,E-18008 Granada,Spain Alef, W. Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Anantua, R. ORCID:0000-0003-3457-7660 Harvard U. (main) Harvard-Smithsonian Ctr. Astrophys. Harvard U. Texas U., San Antonio Black Hole Initiative at Harvard University,20 Garden Street,Cambridge,MA 02138,USA Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Department of Physics & Astronomy,The University of Texas at San Antonio,One UTSA Circle,San Antonio,TX 78249,USA Asada, K. ORCID:0000-0001-6988-8763 Academia Sinica, Taiwan Institute of Astronomy and Astrophysics,Academia Sinica,11F of Astronomy-Mathematics Building,AS/NTU No. 1,Sec. 4,Roosevelt Rd.,Taipei 10617,Taiwan,R.O.C. Azulay, R. ORCID:0000-0002-2200-5393 Valencia U., Astro. Astrophys. Valencia U., IFIC Bonn, Max Planck Inst., Radioastron. Departament d'Astronomia i Astrofísica,Universitat de València,C. Dr. Moliner 50,E-46100 Burjassot,València,Spain Observatori Astronòmic,Universitat de València,C. Catedrático José Beltrán 2,E-46980 Paterna,València,Spain Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Bach, U. ORCID:0000-0002-7722-8412 Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Baczko, A.-K. ORCID:0000-0003-3090-3975 Chalmers U. Tech. Bonn, Max Planck Inst., Radioastron. Department of Space,Earth and Environment,Chalmers University of Technology,Onsala Space Observatory,SE-43992 Onsala,Sweden Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany B., D. Arizona U., Astron. Dept. - Steward Observ. Steward Observatory and Department of Astronomy,University of Arizona,933 N. Cherry Ave.,Tucson,AZ 85721,USA Bandyopadhyay, B. ORCID:0000-0002-2138-8564 Concepcion U. Astronomy Department,Universidad de Concepción,Casilla 160-C,Concepción,Chile Barrett, J. ORCID:0000-0002-9290-0764 MIT, LNS Massachusetts Institute of Technology Haystack Observatory,99 Millstone Road,Westford,MA 01886,USA Bauböck, M. ORCID:0000-0002-5518-2812 Illinois U., Urbana Department of Physics,University of Illinois,1110 West Green Street,Urbana,IL 61801,USA Benson, B.A. ORCID:0000-0002-5108-6823 Fermilab Chicago U., Astron. Astrophys. Ctr. Fermi National Accelerator Laboratory,MS209,P.O. Box 500,Batavia,IL 60510,USA Department of Astronomy and Astrophysics,University of Chicago,5640 South Ellis Avenue,Chicago,IL 60637,USA Bintley, D. Subaru Telescope East Asian Observatory,660 N. A'ohoku Place,Hilo,HI 96720,USA James Clerk Maxwell Telescope (JCMT),660 N. A'ohoku Place,Hilo,HI 96720,USA Blackburn, L. ORCID:0000-0002-9030-642X Harvard U. (main) Harvard-Smithsonian Ctr. Astrophys. Harvard U. Black Hole Initiative at Harvard University,20 Garden Street,Cambridge,MA 02138,USA Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Blundell, R. ORCID:0000-0002-5929-5857 Harvard U. Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Bouman, K.L. ORCID:0000-0003-0077-4367 Caltech California Institute of Technology,1200 East California Boulevard,Pasadena,CA 91125,USA Bower, G.C. ORCID:0000-0003-4056-9982 East Asian Observ. Hawaii U. Institute of Astronomy and Astrophysics,Academia Sinica,645 N. A'ohoku Place,Hilo,HI 96720,USA Department of Physics and Astronomy,University of Hawaii at Manoa,2505 Correa Road,Honolulu,HI 96822,USA Boyce, H. ORCID:0000-0002-6530-5783 McGill U. McGill U., Montreal (main) Department of Physics,McGill University,3600 rue University,Montréal,QC H3A 2T8,Canada Trottier Space Institute at McGill,3550 rue University,Montréal,QC H3A 2A7,Canada Bremer, M. IRAM, St. Martin d'Heres Institut de Radioastronomie Millimétrique (IRAM),300 rue de la Piscine,F-38406 Saint Martin d'Hères,France Brissenden, R. ORCID:0000-0002-2556-0894 Harvard U. (main) Harvard-Smithsonian Ctr. Astrophys. Harvard U. Black Hole Initiative at Harvard University,20 Garden Street,Cambridge,MA 02138,USA Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Britzen, S. ORCID:0000-0001-9240-6734 Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Broderick, A.E. ORCID:0000-0002-3351-760X Perimeter Inst. Theor. Phys. Waterloo U. Waterloo U., IQC Perimeter Institute for Theoretical Physics,31 Caroline Street North,Waterloo,ON N2L 2Y5,Canada Department of Physics and Astronomy,University of Waterloo,200 University Avenue West,Waterloo,ON N2L 3G1,Canada Waterloo Centre for Astrophysics,University of Waterloo,Waterloo,ON N2L 3G1,Canada Broguiere, D. ORCID:0000-0001-9151-6683 IRAM, St. Martin d'Heres Institut de Radioastronomie Millimétrique (IRAM),300 rue de la Piscine,F-38406 Saint Martin d'Hères,France Bronzwaer, T. ORCID:0000-0003-1151-3971 Nijmegen U., IMAPP Department of Astrophysics,Institute for Mathematics,Astrophysics and Particle Physics (IMAPP),Radboud University,P.O. Box 9010,6500 GL Nijmegen,The Netherlands Bustamante, S. ORCID:0000-0001-6169-1894 Massachusetts U., Amherst Department of Astronomy,University of Massachusetts,Amherst,MA 01003,USA Carlstrom, J.E. ORCID:0000-0002-2044-7665 Chicago U., KICP Chicago U., Astron. Astrophys. Ctr. Chicago U. Chicago U., EFI Kavli Institute for Cosmological Physics,University of Chicago,5640 South Ellis Avenue,Chicago,IL 60637,USA Department of Astronomy and Astrophysics,University of Chicago,5640 South Ellis Avenue,Chicago,IL 60637,USA Department of Physics,University of Chicago,5720 South Ellis Avenue,Chicago,IL 60637,USA Enrico Fermi Institute,University of Chicago,5640 South Ellis Avenue,Chicago,IL 60637,USA Chael, A. ORCID:0000-0003-2966-6220 Princeton U. Princeton Gravity Initiative,Jadwin Hall,Princeton University,Princeton,NJ 08544,USA Chan, C.-k. ORCID:0000-0001-6337-6126 Arizona U., Astron. Dept. - Steward Observ. Clemson U. LSST, Tucson Arizona U. Steward Observatory and Department of Astronomy,University of Arizona,933 N. Cherry Ave.,Tucson,AZ 85721,USA Data Science Institute,University of Arizona,1230 N. Cherry Ave.,Tucson,AZ 85721,USA Program in Applied Mathematics,University of Arizona,617 N. Santa Rita,Tucson,AZ 85721,USA Chang, D.O. ORCID:0000-0001-9939-5257 Harvard U. (main) Harvard-Smithsonian Ctr. Astrophys. Harvard U. Black Hole Initiative at Harvard University,20 Garden Street,Cambridge,MA 02138,USA Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Chatterjee, K. ORCID:0000-0002-2825-3590 Harvard U. (main) Harvard-Smithsonian Ctr. Astrophys. Harvard U. Black Hole Initiative at Harvard University,20 Garden Street,Cambridge,MA 02138,USA Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Chatterjee, S. ORCID:0000-0002-2878-1502 Cornell U., Radio. Space Res. Ctr. Cornell Center for Astrophysics and Planetary Science,Cornell University,Ithaca,NY 14853,USA Chen, M.-T. ORCID:0000-0001-6573-3318 East Asian Observ. Institute of Astronomy and Astrophysics,Academia Sinica,645 N. A'ohoku Place,Hilo,HI 96720,USA Chen, Y. ORCID:0000-0001-5650-6770 Shanghai, Astron. Observ. Nanjing U. Sci. Tech. Shanghai Astronomical Observatory,Chinese Academy of Sciences,80 Nandan Road,Shanghai 200030,People’s Republic of China Key Laboratory of Radio Astronomy,Chinese Academy of Sciences,Nanjing 210008,People’s Republic of China Cheng, X. ORCID:0000-0003-4407-9868 KASI, DaeJeon Korea Astronomy and Space Science Institute,Daedeok-daero 776,Yuseong-gu,Daejeon 34055,Republic of Korea Cho, I. ORCID:0000-0001-6083-7521 Granada U., Theor. Phys. Astrophys. KASI, DaeJeon Yonsei U. Instituto de Astrofísica de Andalucía-CSIC,Glorieta de la Astronomía s/n,E-18008 Granada,Spain Korea Astronomy and Space Science Institute,Daedeok-daero 776,Yuseong-gu,Daejeon 34055,Republic of Korea Department of Astronomy,Yonsei University,Yonsei-ro 50,Seodaemun-gu,03722 Seoul,Republic of Korea Christian, P. ORCID:0000-0001-6820-9941 Fairfield U. Physics Department,Fairfield University,1073 North Benson Road,Fairfield,CT 06824,USA Conroy, N.S. ORCID:0000-0003-2886-2377 Illinois U., Urbana, Astron. Dept. Harvard U. Department of Astronomy,University of Illinois at Urbana-Champaign,1002 West Green Street,Urbana,IL 61801,USA Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Conway, J.E. ORCID:0000-0003-2448-9181 Chalmers U. Tech. Department of Space,Earth and Environment,Chalmers University of Technology,Onsala Space Observatory,SE-43992 Onsala,Sweden Crawford, T.M. ORCID:0000-0001-9000-5013 Chicago U., Astron. Astrophys. Ctr. Chicago U., KICP Department of Astronomy and Astrophysics,University of Chicago,5640 South Ellis Avenue,Chicago,IL 60637,USA Kavli Institute for Cosmological Physics,University of Chicago,5640 South Ellis Avenue,Chicago,IL 60637,USA Crew, G.B. ORCID:0000-0002-2079-3189 MIT, LNS Massachusetts Institute of Technology Haystack Observatory,99 Millstone Road,Westford,MA 01886,USA Cruz-Osorio, A. ORCID:0000-0002-3945-6342 UNAM, Inst. Astron. Frankfurt U. Instituto de Astronomía,Universidad Nacional Autónoma de México (UNAM),Apdo Postal 70-264,Ciudad de México,México Institut für Theoretische Physik,Goethe-Universität Frankfurt,Max-von-Laue-Straße 1,D-60438 Frankfurt am Main,Germany Dahale, R. ORCID:0000-0001-6982-9034 Granada U., Theor. Phys. Astrophys. Instituto de Astrofísica de Andalucía-CSIC,Glorieta de la Astronomía s/n,E-18008 Granada,Spain Davelaar, J. ORCID:0000-0002-2685-2434 Columbia U., Astron. Astrophys. Flatiron Inst., New York Nijmegen U., IMAPP Department of Astronomy and Columbia Astrophysics Laboratory,Columbia University,500 W. 120th Street,New York,NY 10027,USA Center for Computational Astrophysics,Flatiron Institute,162 Fifth Avenue,New York,NY 10010,USA Department of Astrophysics,Institute for Mathematics,Astrophysics and Particle Physics (IMAPP),Radboud University,P.O. Box 9010,6500 GL Nijmegen,The Netherlands De Laurentis, M. ORCID:0000-0002-9945-682X INFN, Naples Naples U. Dipartimento di Fisica "E. Pancini",Università di Napoli "Federico II",Compl. Univ. di Monte S. Angelo,Edificio G,Via Cinthia,I-80126,Napoli,Italy INFN Sez. di Napoli,Compl. Univ. di Monte S. Angelo,Edificio G,Via Cinthia,I-80126,Napoli,Italy Deane, R. ORCID:0000-0003-1027-5043 U. Witwatersrand, Johannesburg, Sch. Phys. Pretoria U. Rhodes U. Wits Centre for Astrophysics,University of the Witwatersrand,1 Jan Smuts Avenue,Braamfontein,Johannesburg 2050,South Africa Department of Physics,University of Pretoria,Hatfield,Pretoria 0028,South Africa Centre for Radio Astronomy Techniques and Technologies,Department of Physics and Electronics,Rhodes University,Makhanda 6140,South Africa Dempsey, J. ORCID:0000-0003-1269-9667 Subaru Telescope ASTRON, Dwingeloo East Asian Observatory,660 N. A'ohoku Place,Hilo,HI 96720,USA James Clerk Maxwell Telescope (JCMT),660 N. A'ohoku Place,Hilo,HI 96720,USA ASTRON,Oude Hoogeveensedijk 4,7991 PD Dwingeloo,The Netherlands Desvignes, G. ORCID:0000-0003-3922-4055 Bonn, Max Planck Inst., Radioastron. LESIA, Meudon Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany LESIA,Observatoire de Paris,Université PSL,CNRS,Sorbonne Université,Université de Paris,5 place Jules Janssen,F-92195 Meudon,France Dexter, J. ORCID:0000-0003-3903-0373 Colorado U. JILA and Department of Astrophysical and Planetary Sciences,University of Colorado,Boulder,CO 80309,USA Dhruv, V. ORCID:0000-0001-6765-877X Illinois U., Urbana Department of Physics,University of Illinois,1110 West Green Street,Urbana,IL 61801,USA Dihingia, I.K. ORCID:0000-0002-4064-0446 Shanghai Jiao Tong U. Tsung-Dao Lee Institute,Shanghai Jiao Tong University,Shengrong Road 520,Shanghai,201210,People's Republic of China Doeleman, S.S. ORCID:0000-0002-9031-0904 Harvard U. (main) Harvard-Smithsonian Ctr. Astrophys. Harvard U. Black Hole Initiative at Harvard University,20 Garden Street,Cambridge,MA 02138,USA Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Dzib, S.A. ORCID:0000-0001-6010-6200 IRAM, St. Martin d'Heres Bonn, Max Planck Inst., Radioastron. Institut de Radioastronomie Millimétrique (IRAM),300 rue de la Piscine,F-38406 Saint Martin d'Hères,France Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Eatough, R.P. ORCID:0000-0001-6196-4135 NAOC, Beijing Bonn, Max Planck Inst., Radioastron. National Astronomical Observatories,Chinese Academy of Sciences,20A Datun Road,Chaoyang District,Beijing 100101,PR China Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Emami, R. ORCID:0000-0002-2791-5011 Harvard U. Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Falcke, H. ORCID:0000-0002-2526-6724 Nijmegen U., IMAPP Department of Astrophysics,Institute for Mathematics,Astrophysics and Particle Physics (IMAPP),Radboud University,P.O. Box 9010,6500 GL Nijmegen,The Netherlands Farah, J. ORCID:0000-0003-4914-5625 Las Cumbres Observ. UC, Santa Barbara Las Cumbres Observatory,6740 Cortona Drive,Suite 102,Goleta,CA 93117-5575,USA Department of Physics,University of California,Santa Barbara,CA 93106-9530,USA Fish, V.L. ORCID:0000-0002-7128-9345 MIT, LNS Massachusetts Institute of Technology Haystack Observatory,99 Millstone Road,Westford,MA 01886,USA Fomalont, E. ORCID:0000-0002-9036-2747 NRAO, Charlottesville National Radio Astronomy Observatory,520 Edgemont Road,Charlottesville,VA 22903,USA Ford, H.A. ORCID:0000-0002-9797-0972 Arizona U., Astron. Dept. - Steward Observ. Steward Observatory and Department of Astronomy,University of Arizona,933 N. Cherry Ave.,Tucson,AZ 85721,USA Foschi, M. ORCID:0000-0001-8147-4993 Granada U., Theor. Phys. Astrophys. Instituto de Astrofísica de Andalucía-CSIC,Glorieta de la Astronomía s/n,E-18008 Granada,Spain Fraga-Encinas, R. ORCID:0000-0002-5222-1361 Nijmegen U., IMAPP Department of Astrophysics,Institute for Mathematics,Astrophysics and Particle Physics (IMAPP),Radboud University,P.O. Box 9010,6500 GL Nijmegen,The Netherlands Freeman, W.T. MIT Unlisted, US, MA Department of Electrical Engineering and Computer Science,Massachusetts Institute of Technology,32-D476,77 Massachusetts Ave.,Cambridge,MA 02142,USA Google Research,355 Main St.,Cambridge,MA 02142,USA Friberg, P. ORCID:0000-0002-8010-8454 Subaru Telescope East Asian Observatory,660 N. A'ohoku Place,Hilo,HI 96720,USA James Clerk Maxwell Telescope (JCMT),660 N. A'ohoku Place,Hilo,HI 96720,USA Fromm, C.M. ORCID:0000-0002-1827-1656 Wurzburg U. Frankfurt U. Bonn, Max Planck Inst., Radioastron. Institut für Theoretische Physik und Astrophysik,Universität Würzburg,Emil-Fischer-Str. 31,D-97074 Würzburg,Germany Institut für Theoretische Physik,Goethe-Universität Frankfurt,Max-von-Laue-Straße 1,D-60438 Frankfurt am Main,Germany Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Fuentes, A. ORCID:0000-0002-8773-4933 Granada U., Theor. Phys. Astrophys. Instituto de Astrofísica de Andalucía-CSIC,Glorieta de la Astronomía s/n,E-18008 Granada,Spain Galison, P. ORCID:0000-0002-6429-3872 Harvard U. (main) Harvard-Smithsonian Ctr. Astrophys. Harvard U. Black Hole Initiative at Harvard University,20 Garden Street,Cambridge,MA 02138,USA Department of History of Science,Harvard University,Cambridge,MA 02138,USA Department of Physics,Harvard University,Cambridge,MA 02138,USA Gammie, C.F. ORCID:0000-0001-7451-8935 Illinois U., Urbana Illinois U., Urbana, Astron. Dept. Department of Physics,University of Illinois,1110 West Green Street,Urbana,IL 61801,USA Department of Astronomy,University of Illinois at Urbana-Champaign,1002 West Green Street,Urbana,IL 61801,USA NCSA,University of Illinois,1205 W. Clark St.,Urbana,IL 61801,USA García, R. ORCID:0000-0002-6584-7443 IRAM, St. Martin d'Heres Institut de Radioastronomie Millimétrique (IRAM),300 rue de la Piscine,F-38406 Saint Martin d'Hères,France Gentaz, O. ORCID:0000-0002-0115-4605 IRAM, St. Martin d'Heres Institut de Radioastronomie Millimétrique (IRAM),300 rue de la Piscine,F-38406 Saint Martin d'Hères,France Georgiev, B. ORCID:0000-0002-3586-6424 Arizona U., Astron. Dept. - Steward Observ. Steward Observatory and Department of Astronomy,University of Arizona,933 N. Cherry Ave.,Tucson,AZ 85721,USA Gold, R. ORCID:0000-0003-2492-1966 Southern Denmark U., CP3-Origins CP3-Origins,University of Southern Denmark,Campusvej 55,DK-5230 Odense M,Denmark Gómez-Ruiz, A.I. ORCID:0000-0001-9395-1670 INAOE, Puebla Conacyt, Mexico Instituto Nacional de Astrofísica,Óptica y Electrónica. Apartado Postal 51 y 216,72000. Puebla Pue.,México Consejo Nacional de Humanidades,Ciencia y Tecnología,Av. Insurgentes Sur 1582,03940,Ciudad de México,México Gómez, J.L. ORCID:0000-0003-4190-7613 Granada U., Theor. Phys. Astrophys. Instituto de Astrofísica de Andalucía-CSIC,Glorieta de la Astronomía s/n,E-18008 Granada,Spain Gu, M. ORCID:0000-0002-4455-6946 Shanghai, Astron. Observ. Shanghai Astronomical Observatory,Chinese Academy of Sciences,80 Nandan Road,Shanghai 200030,People’s Republic of China Key Laboratory for Research in Galaxies and Cosmology,Chinese Academy of Sciences,Shanghai 200030,People's Republic of China Hesper, R. ORCID:0000-0003-1918-6098 Kapteyn Astron. Inst., Groningen NOVA Sub-mm Instrumentation Group,Kapteyn Astronomical Institute,University of Groningen,Landleven 12,9747 AD Groningen,The Netherlands Heumann, D. ORCID:0000-0002-7671-0047 Arizona U., Astron. Dept. - Steward Observ. Steward Observatory and Department of Astronomy,University of Arizona,933 N. Cherry Ave.,Tucson,AZ 85721,USA Ho, L.C. ORCID:0000-0001-6947-5846 Peking U. Peking U., Beijing, KIAA Department of Astronomy,School of Physics,Peking University,Beijing 100871,People's Republic of China Kavli Institute for Astronomy and Astrophysics,Peking University,Beijing 100871,People's Republic of China Ho, P. ORCID:0000-0002-3412-4306 Academia Sinica, Taiwan Subaru Telescope Institute of Astronomy and Astrophysics,Academia Sinica,11F of Astronomy-Mathematics Building,AS/NTU No. 1,Sec. 4,Roosevelt Rd.,Taipei 10617,Taiwan,R.O.C. James Clerk Maxwell Telescope (JCMT),660 N. A'ohoku Place,Hilo,HI 96720,USA East Asian Observatory,660 N. A'ohoku Place,Hilo,HI 96720,USA Honma, M. ORCID:0000-0003-4058-9000 KASI, DaeJeon Tokyo, Grad. U. Adv. Stud. Natl. Astron. Observ. of Japan Tokyo U. Mizusawa VLBI Observatory,National Astronomical Observatory of Japan,2-12 Hoshigaoka,Mizusawa,Oshu,Iwate 023-0861,Japan Astronomical Science Program,The Graduate University for Advanced Studies (SOKENDAI),2-21-1 Osawa,Mitaka,Tokyo 181-8588,Japan Department of Astronomy,Graduate School of Science,The University of Tokyo,7-3-1 Hongo,Bunkyo-ku,Tokyo 113-0033,Japan Huang, C.-W.L. ORCID:0000-0001-5641-3953 Academia Sinica, Taiwan Institute of Astronomy and Astrophysics,Academia Sinica,11F of Astronomy-Mathematics Building,AS/NTU No. 1,Sec. 4,Roosevelt Rd.,Taipei 10617,Taiwan,R.O.C. Huang, L. ORCID:0000-0002-1923-227X Shanghai, Astron. Observ. Shanghai Astronomical Observatory,Chinese Academy of Sciences,80 Nandan Road,Shanghai 200030,People’s Republic of China Key Laboratory for Research in Galaxies and Cosmology,Chinese Academy of Sciences,Shanghai 200030,People's Republic of China Hughes, D.H. INAOE, Puebla Instituto Nacional de Astrofísica,Óptica y Electrónica. Apartado Postal 51 y 216,72000. Puebla Pue.,México Ikeda, S. ORCID:0000-0002-2462-1448 Natl. Astron. Observ. of Japan Tokyo, Inst. Statistical Math. Tokyo U., IPMU National Astronomical Observatory of Japan,2-21-1 Osawa,Mitaka,Tokyo 181-8588,Japan The Institute of Statistical Mathematics,10-3 Midori-cho,Tachikawa,Tokyo,190-8562,Japan Department of Statistical Science,The Graduate University for Advanced Studies (SOKENDAI),10-3 Midori-cho,Tachikawa,Tokyo 190-8562,Japan Kavli Institute for the Physics and Mathematics of the Universe,The University of Tokyo,5-1-5 Kashiwanoha,Kashiwa,277-8583,Japan Impellizzeri, C.M.V. ORCID:0000-0002-3443-2472 Leiden Observ. NRAO, Charlottesville Leiden Observatory,Leiden University,Postbus 2300,9513 RA Leiden,The Netherlands National Radio Astronomy Observatory,520 Edgemont Road,Charlottesville,VA 22903,USA Inoue, M. ORCID:0000-0001-5037-3989 Academia Sinica, Taiwan Institute of Astronomy and Astrophysics,Academia Sinica,11F of Astronomy-Mathematics Building,AS/NTU No. 1,Sec. 4,Roosevelt Rd.,Taipei 10617,Taiwan,R.O.C. Issaoun, S. ORCID:0000-0002-5297-921X Harvard U. Baltimore, Space Telescope Sci. Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA NASA Hubble Fellowship Program,Einstein Fellow James, D.J. ORCID:0000-0001-5160-4486 Unlisted, US, MA Old Dominion U. Jefferson Lab VSEA, Gloucester ASTRAVEO LLC,PO Box 1668,Gloucester,MA 01931 Applied Materials Inc.,35 Dory Road,Gloucester,MA 01930 Jannuzi, B.T. ORCID:0000-0002-1578-6582 Arizona U., Astron. Dept. - Steward Observ. Steward Observatory and Department of Astronomy,University of Arizona,933 N. Cherry Ave.,Tucson,AZ 85721,USA Janssen, M. ORCID:0000-0001-8685-6544 Nijmegen U., IMAPP Bonn, Max Planck Inst., Radioastron. Department of Astrophysics,Institute for Mathematics,Astrophysics and Particle Physics (IMAPP),Radboud University,P.O. Box 9010,6500 GL Nijmegen,The Netherlands Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Jeter, B. ORCID:0000-0003-2847-1712 Academia Sinica, Taiwan Institute of Astronomy and Astrophysics,Academia Sinica,11F of Astronomy-Mathematics Building,AS/NTU No. 1,Sec. 4,Roosevelt Rd.,Taipei 10617,Taiwan,R.O.C. Jiang, W. ORCID:0000-0001-7369-3539 Shanghai, Astron. Observ. Shanghai Astronomical Observatory,Chinese Academy of Sciences,80 Nandan Road,Shanghai 200030,People’s Republic of China Jiménez-Rosales, A. ORCID:0000-0002-2662-3754 Nijmegen U., IMAPP Department of Astrophysics,Institute for Mathematics,Astrophysics and Particle Physics (IMAPP),Radboud University,P.O. Box 9010,6500 GL Nijmegen,The Netherlands Johnson, M.D. ORCID:0000-0002-4120-3029 Harvard U. (main) Harvard-Smithsonian Ctr. Astrophys. Harvard U. Black Hole Initiative at Harvard University,20 Garden Street,Cambridge,MA 02138,USA Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Jones, A.C. Chicago U., Astron. Astrophys. Ctr. Department of Astronomy and Astrophysics,University of Chicago,5640 South Ellis Avenue,Chicago,IL 60637,USA Joshi, A.V. ORCID:0000-0002-2514-5965 Illinois U., Urbana Department of Physics,University of Illinois,1110 West Green Street,Urbana,IL 61801,USA Jung, T. ORCID:0000-0001-7003-8643 KASI, DaeJeon KISTI, Daejeon Korea Astronomy and Space Science Institute,Daedeok-daero 776,Yuseong-gu,Daejeon 34055,Republic of Korea University of Science and Technology,Gajeong-ro 217,Yuseong-gu,Daejeon 34113,Republic of Korea Karuppusamy, R. ORCID:0000-0002-5307-2919 Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Keating, G.K. ORCID:0000-0002-3490-146X Harvard U. Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Kettenis, M. ORCID:0000-0002-6156-5617 ASTRON, Dwingeloo Joint Institute for VLBI ERIC (JIVE),Oude Hoogeveensedijk 4,7991 PD Dwingeloo,The Netherlands Kim, D.-J. ORCID:0000-0002-7038-2118 MIT, LNS Massachusetts Institute of Technology Haystack Observatory,99 Millstone Road,Westford,MA 01886,USA Kim, J. ORCID:0000-0002-1229-0426 KASI, DaeJeon Korea Astronomy and Space Science Institute,Daedeok-daero 776,Yuseong-gu,Daejeon 34055,Republic of Korea Kim, J. ORCID:0000-0002-4274-9373 KAIST, Taejon Department of Physics,Korea Advanced Institute of Science and Technology (KAIST),291 Daehak-ro,Yuseong-gu,Daejeon 34141,Republic of Korea Koay, J.Y. ORCID:0000-0002-7029-6658 Academia Sinica, Taiwan Institute of Astronomy and Astrophysics,Academia Sinica,11F of Astronomy-Mathematics Building,AS/NTU No. 1,Sec. 4,Roosevelt Rd.,Taipei 10617,Taiwan,R.O.C. Kocherlakota, P. ORCID:0000-0001-7386-7439 Frankfurt U. Institut für Theoretische Physik,Goethe-Universität Frankfurt,Max-von-Laue-Straße 1,D-60438 Frankfurt am Main,Germany Kofuji, Y. KASI, DaeJeon Tokyo U. Mizusawa VLBI Observatory,National Astronomical Observatory of Japan,2-12 Hoshigaoka,Mizusawa,Oshu,Iwate 023-0861,Japan Department of Astronomy,Graduate School of Science,The University of Tokyo,7-3-1 Hongo,Bunkyo-ku,Tokyo 113-0033,Japan Koch, P.M. ORCID:0000-0003-2777-5861 Academia Sinica, Taiwan Institute of Astronomy and Astrophysics,Academia Sinica,11F of Astronomy-Mathematics Building,AS/NTU No. 1,Sec. 4,Roosevelt Rd.,Taipei 10617,Taiwan,R.O.C. Koyama, S. ORCID:0000-0002-3723-3372 Niigata U. Academia Sinica, Taiwan Graduate School of Science and Technology,Niigata University,8050 Ikarashi 2-no-cho,Nishi-ku,Niigata 950-2181,Japan Institute of Astronomy and Astrophysics,Academia Sinica,11F of Astronomy-Mathematics Building,AS/NTU No. 1,Sec. 4,Roosevelt Rd.,Taipei 10617,Taiwan,R.O.C. Kramer, C. ORCID:0000-0002-4908-4925 IRAM, St. Martin d'Heres Institut de Radioastronomie Millimétrique (IRAM),300 rue de la Piscine,F-38406 Saint Martin d'Hères,France Kramer, J.A. ORCID:0009-0003-3011-0454 Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Kramer, M. ORCID:0000-0002-4175-2271 Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Krichbaum, T.P. ORCID:0000-0002-4892-9586 Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Kuo, C.-Y. ORCID:0000-0001-6211-5581 Taiwan, Natl. Normal U. Academia Sinica, Taiwan Physics Department,National Sun Yat-Sen University,No. 70,Lien-Hai Road,Kaosiung City 80424,Taiwan,R.O.C. Institute of Astronomy and Astrophysics,Academia Sinica,11F of Astronomy-Mathematics Building,AS/NTU No. 1,Sec. 4,Roosevelt Rd.,Taipei 10617,Taiwan,R.O.C. La Bella, N. ORCID:0000-0002-8116-9427 Nijmegen U., IMAPP Department of Astrophysics,Institute for Mathematics,Astrophysics and Particle Physics (IMAPP),Radboud University,P.O. Box 9010,6500 GL Nijmegen,The Netherlands Levis, A. ORCID:0000-0001-7307-632X Caltech California Institute of Technology,1200 East California Boulevard,Pasadena,CA 91125,USA Li, Z. ORCID:0000-0003-0355-6437 Nanjing U., Dept. Astron. Key Lab. Mod. Astron. Astrophys., MOE, Nanjing School of Astronomy and Space Science,Nanjing University,Nanjing 210023,People's Republic of China Key Laboratory of Modern Astronomy and Astrophysics,Nanjing University,Nanjing 210023,People's Republic of China Lico, R. ORCID:0000-0001-7361-2460 Bologna, Ist. Radioastronomia Granada U., Theor. Phys. Astrophys. INAF-Istituto di Radioastronomia,Via P. Gobetti 101,I-40129 Bologna,Italy Instituto de Astrofísica de Andalucía-CSIC,Glorieta de la Astronomía s/n,E-18008 Granada,Spain Lindahl, G. ORCID:0000-0002-6100-4772 Harvard U. Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Lindqvist, M. ORCID:0000-0002-3669-0715 Chalmers U. Tech. Department of Space,Earth and Environment,Chalmers University of Technology,Onsala Space Observatory,SE-43992 Onsala,Sweden Lisakov, M. ORCID:0000-0001-6088-3819 Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Liu, J. ORCID:0000-0002-7615-7499 Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Liu, K. ORCID:0000-0002-2953-7376 Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Liuzzo, E. ORCID:0000-0003-0995-5201 Bologna Observ. INAF-Istituto di Radioastronomia & Italian ALMA Regional Centre,Via P. Gobetti 101,I-40129 Bologna,Italy Lo, W.-P. ORCID:0000-0003-1869-2503 Academia Sinica, Taiwan Taiwan, Natl. Taiwan U. Institute of Astronomy and Astrophysics,Academia Sinica,11F of Astronomy-Mathematics Building,AS/NTU No. 1,Sec. 4,Roosevelt Rd.,Taipei 10617,Taiwan,R.O.C. Department of Physics,National Taiwan University,No. 1,Sec. 4,Roosevelt Rd.,Taipei 10617,Taiwan,R.O.C Lobanov, A.P. ORCID:0000-0003-1622-1484 Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Loinard, L. ORCID:0000-0002-5635-3345 UNAM, Morelia, Inst. Radioastron. Astrophys. Instituto de Radioastronomía y Astrofísica,Universidad Nacional Autónoma de México,Morelia 58089,México Lonsdale, C.J. ORCID:0000-0003-4062-4654 MIT, LNS Massachusetts Institute of Technology Haystack Observatory,99 Millstone Road,Westford,MA 01886,USA Lowitz, A.E. ORCID:0000-0002-4747-4276 Arizona U., Astron. Dept. - Steward Observ. Steward Observatory and Department of Astronomy,University of Arizona,933 N. Cherry Ave.,Tucson,AZ 85721,USA MacDonald, N.R. ORCID:0000-0002-6684-8691 Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Mao, J. ORCID:0000-0002-7077-7195 Yunnan Observ. NAOC, Beijing Yunnan Observatories,Chinese Academy of Sciences,650011 Kunming,Yunnan Province,People's Republic of China Center for Astronomical Mega-Science,Chinese Academy of Sciences,20A Datun Road,Chaoyang District,Beijing,100012,People's Republic of China Key Laboratory for the Structure and Evolution of Celestial Objects,Chinese Academy of Sciences,650011 Kunming,People's Republic of China Marchili, N. ORCID:0000-0002-5523-7588 Bologna Observ. Bonn, Max Planck Inst., Radioastron. INAF-Istituto di Radioastronomia & Italian ALMA Regional Centre,Via P. Gobetti 101,I-40129 Bologna,Italy Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Marrone, D.P. ORCID:0000-0002-2367-1080 Arizona U., Astron. Dept. - Steward Observ. Steward Observatory and Department of Astronomy,University of Arizona,933 N. Cherry Ave.,Tucson,AZ 85721,USA Marscher, A.P. ORCID:0000-0001-7396-3332 Boston U. Institute for Astrophysical Research,Boston University,725 Commonwealth Ave.,Boston 02215,MA,USA Martí-Vidal, I. ORCID:0000-0003-3708-9611 Valencia U., Astro. Astrophys. Valencia U., IFIC Departament d'Astronomia i Astrofísica,Universitat de València,C. Dr. Moliner 50,E-46100 Burjassot,València,Spain Observatori Astronòmic,Universitat de València,C. Catedrático José Beltrán 2,E-46980 Paterna,València,Spain Matsushita, S. ORCID:0000-0002-2127-7880 Academia Sinica, Taiwan Institute of Astronomy and Astrophysics,Academia Sinica,11F of Astronomy-Mathematics Building,AS/NTU No. 1,Sec. 4,Roosevelt Rd.,Taipei 10617,Taiwan,R.O.C. Matthews, L.D. ORCID:0000-0002-3728-8082 MIT, LNS Massachusetts Institute of Technology Haystack Observatory,99 Millstone Road,Westford,MA 01886,USA Medeiros, L. ORCID:0000-0003-2342-6728 Princeton U., Astrophys. Sci. Dept. Baltimore, Space Telescope Sci. Department of Astrophysical Sciences,Peyton Hall,Princeton University,Princeton,NJ 08544,USA NASA Hubble Fellowship Program,Einstein Fellow Menten, K.M. ORCID:0000-0001-6459-0669 Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Mizuno, I. ORCID:0000-0002-7210-6264 Subaru Telescope East Asian Observatory,660 N. A'ohoku Place,Hilo,HI 96720,USA James Clerk Maxwell Telescope (JCMT),660 N. A'ohoku Place,Hilo,HI 96720,USA Mizuno, Y. ORCID:0000-0002-8131-6730 Shanghai Jiao Tong U. Shanghai Jiaotong U. Frankfurt U. Tsung-Dao Lee Institute,Shanghai Jiao Tong University,Shengrong Road 520,Shanghai,201210,People's Republic of China School of Physics and Astronomy,Shanghai Jiao Tong University,800 Dongchuan Road,Shanghai,200240,People's Republic of China Institut für Theoretische Physik,Goethe-Universität Frankfurt,Max-von-Laue-Straße 1,D-60438 Frankfurt am Main,Germany Montgomery, J. ORCID:0000-0003-0345-8386 McGill U., Montreal (main) McGill U. Chicago U., Astron. Astrophys. Ctr. Trottier Space Institute at McGill,3550 rue University,Montréal,QC H3A 2A7,Canada Department of Astronomy and Astrophysics,University of Chicago,5640 South Ellis Avenue,Chicago,IL 60637,USA Moran, J.M. ORCID:0000-0002-3882-4414 Harvard U. (main) Harvard-Smithsonian Ctr. Astrophys. Harvard U. Black Hole Initiative at Harvard University,20 Garden Street,Cambridge,MA 02138,USA Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Moriyama, K. ORCID:0000-0003-1364-3761 Frankfurt U. KASI, DaeJeon Institut für Theoretische Physik,Goethe-Universität Frankfurt,Max-von-Laue-Straße 1,D-60438 Frankfurt am Main,Germany Mizusawa VLBI Observatory,National Astronomical Observatory of Japan,2-12 Hoshigaoka,Mizusawa,Oshu,Iwate 023-0861,Japan Moscibrodzka, M. ORCID:0000-0002-4661-6332 Nijmegen U., IMAPP Department of Astrophysics,Institute for Mathematics,Astrophysics and Particle Physics (IMAPP),Radboud University,P.O. Box 9010,6500 GL Nijmegen,The Netherlands Mulaudzi, W. ORCID:0000-0003-4514-625X Amsterdam U., Astron. Inst. API-Anton Pannekoek Institute for Astronomy,University of Amsterdam,Science Park 904,1098 XH Amsterdam,The Netherlands Müller, C. ORCID:0000-0002-2739-2994 Bonn, Max Planck Inst., Radioastron. Nijmegen U., IMAPP Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Department of Astrophysics,Institute for Mathematics,Astrophysics and Particle Physics (IMAPP),Radboud University,P.O. Box 9010,6500 GL Nijmegen,The Netherlands Müller, H. ORCID:0000-0002-9250-0197 Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Mus, A. ORCID:0000-0003-0329-6874 Valencia U., Astro. Astrophys. Valencia U., IFIC Departament d'Astronomia i Astrofísica,Universitat de València,C. Dr. Moliner 50,E-46100 Burjassot,València,Spain Observatori Astronòmic,Universitat de València,C. Catedrático José Beltrán 2,E-46980 Paterna,València,Spain Musoke, G. ORCID:0000-0003-1984-189X Amsterdam U., Astron. Inst. Nijmegen U., IMAPP API-Anton Pannekoek Institute for Astronomy,University of Amsterdam,Science Park 904,1098 XH Amsterdam,The Netherlands Department of Astrophysics,Institute for Mathematics,Astrophysics and Particle Physics (IMAPP),Radboud University,P.O. Box 9010,6500 GL Nijmegen,The Netherlands Myserlis, I. ORCID:0000-0003-3025-9497 IRAM, Granada Institut de Radioastronomie Millimétrique (IRAM),Avenida Divina Pastora 7,Local 20,E-18012,Granada,Spain Nagai, H. ORCID:0000-0003-0292-3645 Natl. Astron. Observ. of Japan Tokyo, Grad. U. Adv. Stud. National Astronomical Observatory of Japan,2-21-1 Osawa,Mitaka,Tokyo 181-8588,Japan Astronomical Science Program,The Graduate University for Advanced Studies (SOKENDAI),2-21-1 Osawa,Mitaka,Tokyo 181-8588,Japan Nagar, N.M. ORCID:0000-0001-6920-662X Concepcion U. Astronomy Department,Universidad de Concepción,Casilla 160-C,Concepción,Chile Nair, D.G. ORCID:0000-0001-5357-7805 Concepcion U. Astronomy Department,Universidad de Concepción,Casilla 160-C,Concepción,Chile Nakamura, M. ORCID:0000-0001-6081-2420 Hachinohe Inst. Tech. Academia Sinica, Taiwan National Institute of Technology,Hachinohe College,16-1 Uwanotai,Tamonoki,Hachinohe City,Aomori 039-1192,Japan Institute of Astronomy and Astrophysics,Academia Sinica,11F of Astronomy-Mathematics Building,AS/NTU No. 1,Sec. 4,Roosevelt Rd.,Taipei 10617,Taiwan,R.O.C. Narayanan, G. ORCID:0000-0002-4723-6569 Massachusetts U., Amherst Department of Astronomy,University of Massachusetts,Amherst,MA 01003,USA Natarajan, I. ORCID:0000-0001-8242-4373 Harvard U. Harvard U. (main) Harvard-Smithsonian Ctr. Astrophys. Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Black Hole Initiative at Harvard University,20 Garden Street,Cambridge,MA 02138,USA Nathanail, A. ORCID:0000-0002-1655-9912 RCAAM, Academy of Athens Frankfurt U. Research Center for Astronomy,Academy of Athens,Soranou Efessiou 4,115 27 Athens,Greece Institut für Theoretische Physik,Goethe-Universität Frankfurt,Max-von-Laue-Straße 1,D-60438 Frankfurt am Main,Germany Fuentes, S. Navarro IRAM, Granada Institut de Radioastronomie Millimétrique (IRAM),Avenida Divina Pastora 7,Local 20,E-18012,Granada,Spain Ni, C. ORCID:0000-0003-1361-5699 Waterloo U. Waterloo U., IQC Perimeter Inst. Theor. Phys. Department of Physics and Astronomy,University of Waterloo,200 University Avenue West,Waterloo,ON N2L 3G1,Canada Waterloo Centre for Astrophysics,University of Waterloo,Waterloo,ON N2L 3G1,Canada Perimeter Institute for Theoretical Physics,31 Caroline Street North,Waterloo,ON N2L 2Y5,Canada Oh, J. ORCID:0000-0002-4991-9638 ASTRON, Dwingeloo Joint Institute for VLBI ERIC (JIVE),Oude Hoogeveensedijk 4,7991 PD Dwingeloo,The Netherlands Okino, H. ORCID:0000-0003-3779-2016 KASI, DaeJeon Tokyo U. Mizusawa VLBI Observatory,National Astronomical Observatory of Japan,2-12 Hoshigaoka,Mizusawa,Oshu,Iwate 023-0861,Japan Department of Astronomy,Graduate School of Science,The University of Tokyo,7-3-1 Hongo,Bunkyo-ku,Tokyo 113-0033,Japan Olivares, H. ORCID:0000-0001-6833-7580 Nijmegen U., IMAPP Department of Astrophysics,Institute for Mathematics,Astrophysics and Particle Physics (IMAPP),Radboud University,P.O. Box 9010,6500 GL Nijmegen,The Netherlands Oyama, T. ORCID:0000-0003-4046-2923 KASI, DaeJeon Mizusawa VLBI Observatory,National Astronomical Observatory of Japan,2-12 Hoshigaoka,Mizusawa,Oshu,Iwate 023-0861,Japan Özel, F. ORCID:0000-0003-4413-1523 Georgia Tech School of Physics,Georgia Institute of Technology,837 State St NW,Atlanta,GA 30332,USA Palumbo, D.C.M. ORCID:0000-0002-7179-3816 Harvard U. (main) Harvard-Smithsonian Ctr. Astrophys. Harvard U. Black Hole Initiative at Harvard University,20 Garden Street,Cambridge,MA 02138,USA Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Filippos Paraschos, G. ORCID:0000-0001-6757-3098 Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Park, J. ORCID:0000-0001-6558-9053 Kyung Hee U. Department of Astronomy and Space Science,Kyung Hee University,1732,Deogyeong-daero,Giheung-gu,Yongin-si,Gyeonggi-do 17104,Republic of Korea Parsons, H. ORCID:0000-0002-6327-3423 Subaru Telescope East Asian Observatory,660 N. A'ohoku Place,Hilo,HI 96720,USA James Clerk Maxwell Telescope (JCMT),660 N. A'ohoku Place,Hilo,HI 96720,USA Patel, N. ORCID:0000-0002-6021-9421 Harvard U. Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Pen, U.-L. ORCID:0000-0003-2155-9578 Academia Sinica, Taiwan Perimeter Inst. Theor. Phys. Canadian Inst. Theor. Astrophys. U. Toronto, Dunlap Inst. Astron. Astrophys. Canadian Inst. Advanced Res. Institute of Astronomy and Astrophysics,Academia Sinica,11F of Astronomy-Mathematics Building,AS/NTU No. 1,Sec. 4,Roosevelt Rd.,Taipei 10617,Taiwan,R.O.C. Perimeter Institute for Theoretical Physics,31 Caroline Street North,Waterloo,ON N2L 2Y5,Canada Canadian Institute for Theoretical Astrophysics,University of Toronto,60 St. George Street,Toronto,ON M5S 3H8,Canada Dunlap Institute for Astronomy and Astrophysics,University of Toronto,50 St. George Street,Toronto,ON M5S 3H4,Canada Canadian Institute for Advanced Research,180 Dundas St West,Toronto,ON M5G 1Z8,Canada Pesce, D.W. ORCID:0000-0002-5278-9221 Harvard U. Harvard U. (main) Harvard-Smithsonian Ctr. Astrophys. Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Black Hole Initiative at Harvard University,20 Garden Street,Cambridge,MA 02138,USA Piétu, V. IRAM, St. Martin d'Heres Institut de Radioastronomie Millimétrique (IRAM),300 rue de la Piscine,F-38406 Saint Martin d'Hères,France PopStefanija, A. Massachusetts U., Amherst Department of Astronomy,University of Massachusetts,Amherst,MA 01003,USA Porth, O. ORCID:0000-0002-4584-2557 Amsterdam U., Astron. Inst. Frankfurt U. API-Anton Pannekoek Institute for Astronomy,University of Amsterdam,Science Park 904,1098 XH Amsterdam,The Netherlands Institut für Theoretische Physik,Goethe-Universität Frankfurt,Max-von-Laue-Straße 1,D-60438 Frankfurt am Main,Germany Prather, B. ORCID:0000-0002-0393-7734 Illinois U., Urbana Department of Physics,University of Illinois,1110 West Green Street,Urbana,IL 61801,USA Psaltis, D. ORCID:0000-0003-1035-3240 Georgia Tech School of Physics,Georgia Institute of Technology,837 State St NW,Atlanta,GA 30332,USA Pu, H.-Y. ORCID:0000-0001-9270-8812 Taiwan, Natl. Normal U. Academia Sinica, Taiwan Department of Physics,National Taiwan Normal University,No. 88,Sec. 4,Tingzhou Rd.,Taipei 116,Taiwan,R.O.C. Center of Astronomy and Gravitation,National Taiwan Normal University,No. 88,Sec. 4,Tingzhou Road,Taipei 116,Taiwan,R.O.C. Institute of Astronomy and Astrophysics,Academia Sinica,11F of Astronomy-Mathematics Building,AS/NTU No. 1,Sec. 4,Roosevelt Rd.,Taipei 10617,Taiwan,R.O.C. Rao, R. ORCID:0000-0002-1407-7944 Harvard U. Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Rawlings, M.G. ORCID:0000-0002-6529-202X Gemini Observ., Hilo Subaru Telescope Gemini Observatory/NSF's NOIRLab,670 N. Aòhōkū Place,Hilo,HI 96720,USA East Asian Observatory,660 N. A'ohoku Place,Hilo,HI 96720,USA James Clerk Maxwell Telescope (JCMT),660 N. A'ohoku Place,Hilo,HI 96720,USA Raymond, A.W. ORCID:0000-0002-5779-4767 Harvard U. (main) Harvard-Smithsonian Ctr. Astrophys. Harvard U. Black Hole Initiative at Harvard University,20 Garden Street,Cambridge,MA 02138,USA Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Rezzolla, L. ORCID:0000-0002-1330-7103 Frankfurt U. Frankfurt U., FIAS Trinity Coll., Dublin Institut für Theoretische Physik,Goethe-Universität Frankfurt,Max-von-Laue-Straße 1,D-60438 Frankfurt am Main,Germany Frankfurt Institute for Advanced Studies,Ruth-Moufang-Strasse 1,D-60438 Frankfurt,Germany School of Mathematics,Trinity College,Dublin 2,Ireland Ricarte, A. ORCID:0000-0001-5287-0452 Harvard U. (main) Harvard-Smithsonian Ctr. Astrophys. Harvard U. Black Hole Initiative at Harvard University,20 Garden Street,Cambridge,MA 02138,USA Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Roelofs, F. ORCID:0000-0001-5461-3687 Harvard U. Harvard U. (main) Harvard-Smithsonian Ctr. Astrophys. Nijmegen U., IMAPP Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Black Hole Initiative at Harvard University,20 Garden Street,Cambridge,MA 02138,USA Department of Astrophysics,Institute for Mathematics,Astrophysics and Particle Physics (IMAPP),Radboud University,P.O. Box 9010,6500 GL Nijmegen,The Netherlands Romero-Cañizales, C. ORCID:0000-0001-6301-9073 Academia Sinica, Taiwan Institute of Astronomy and Astrophysics,Academia Sinica,11F of Astronomy-Mathematics Building,AS/NTU No. 1,Sec. 4,Roosevelt Rd.,Taipei 10617,Taiwan,R.O.C. Ros, E. ORCID:0000-0001-9503-4892 Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Roshanineshat, A. ORCID:0000-0002-8280-9238 Arizona U., Astron. Dept. - Steward Observ. Steward Observatory and Department of Astronomy,University of Arizona,933 N. Cherry Ave.,Tucson,AZ 85721,USA Rottmann, H. Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Roy, A.L. ORCID:0000-0002-1931-0135 Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Ruiz, I. ORCID:0000-0002-0965-5463 IRAM, Granada Institut de Radioastronomie Millimétrique (IRAM),Avenida Divina Pastora 7,Local 20,E-18012,Granada,Spain Ruszczyk, C. ORCID:0000-0001-7278-9707 MIT, LNS Massachusetts Institute of Technology Haystack Observatory,99 Millstone Road,Westford,MA 01886,USA Rygl, K.L.J. ORCID:0000-0003-4146-9043 Bologna Observ. INAF-Istituto di Radioastronomia & Italian ALMA Regional Centre,Via P. Gobetti 101,I-40129 Bologna,Italy Sánchez, S. ORCID:0000-0002-8042-5951 IRAM, Granada Institut de Radioastronomie Millimétrique (IRAM),Avenida Divina Pastora 7,Local 20,E-18012,Granada,Spain Sánchez-Argüelles, D. ORCID:0000-0002-7344-9920 INAOE, Puebla Conacyt, Mexico Instituto Nacional de Astrofísica,Óptica y Electrónica. Apartado Postal 51 y 216,72000. Puebla Pue.,México Consejo Nacional de Humanidades,Ciencia y Tecnología,Av. Insurgentes Sur 1582,03940,Ciudad de México,México Sánchez-Portal, M. ORCID:0000-0003-0981-9664 IRAM, Granada Institut de Radioastronomie Millimétrique (IRAM),Avenida Divina Pastora 7,Local 20,E-18012,Granada,Spain Satapathy, K. ORCID:0000-0003-0433-3585 Arizona U., Astron. Dept. - Steward Observ. Steward Observatory and Department of Astronomy,University of Arizona,933 N. Cherry Ave.,Tucson,AZ 85721,USA Savolainen, T. ORCID:0000-0001-6214-1085 Aalto U. Bonn, Max Planck Inst., Radioastron. Aalto University Department of Electronics and Nanoengineering,PL 15500,FI-00076 Aalto,Finland Aalto University Metsähovi Radio Observatory,Metsähovintie 114,FI-02540 Kylmälä,Finland Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Schloerb, F.P. Massachusetts U., Amherst Department of Astronomy,University of Massachusetts,Amherst,MA 01003,USA Schonfeld, J. ORCID:0000-0002-8909-2401 Harvard U. Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Schuster, K.-F. ORCID:0000-0003-2890-9454 IRAM, St. Martin d'Heres Institut de Radioastronomie Millimétrique (IRAM),300 rue de la Piscine,F-38406 Saint Martin d'Hères,France Shao, L. ORCID:0000-0002-1334-8853 Peking U., Beijing, KIAA Bonn, Max Planck Inst., Radioastron. Kavli Institute for Astronomy and Astrophysics,Peking University,Beijing 100871,People's Republic of China Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Shen, Z. ORCID:0000-0003-3540-8746 Shanghai, Astron. Observ. Nanjing U. Sci. Tech. Shanghai Astronomical Observatory,Chinese Academy of Sciences,80 Nandan Road,Shanghai 200030,People’s Republic of China Key Laboratory of Radio Astronomy,Chinese Academy of Sciences,Nanjing 210008,People’s Republic of China Small, D. ORCID:0000-0003-3723-5404 ASTRON, Dwingeloo Joint Institute for VLBI ERIC (JIVE),Oude Hoogeveensedijk 4,7991 PD Dwingeloo,The Netherlands Sohn, B.W. ORCID:0000-0002-4148-8378 KASI, DaeJeon KISTI, Daejeon Yonsei U. Korea Astronomy and Space Science Institute,Daedeok-daero 776,Yuseong-gu,Daejeon 34055,Republic of Korea University of Science and Technology,Gajeong-ro 217,Yuseong-gu,Daejeon 34113,Republic of Korea Department of Astronomy,Yonsei University,Yonsei-ro 50,Seodaemun-gu,03722 Seoul,Republic of Korea SooHoo, J. ORCID:0000-0003-1938-0720 MIT, LNS Massachusetts Institute of Technology Haystack Observatory,99 Millstone Road,Westford,MA 01886,USA Salas, L.D. Sosapanta ORCID:0000-0003-1979-6363 Amsterdam U., Astron. Inst. API-Anton Pannekoek Institute for Astronomy,University of Amsterdam,Science Park 904,1098 XH Amsterdam,The Netherlands Souccar, K. ORCID:0000-0001-7915-5272 Massachusetts U., Amherst Department of Astronomy,University of Massachusetts,Amherst,MA 01003,USA Stanway, J.S. ORCID:0009-0003-7659-4642 Central Lancashire U. Jeremiah Horrocks Institute,University of Central Lancashire,Preston PR1 2HE,UK Sun, H. ORCID:0000-0003-1526-6787 Peking U. Peking U., SKLNPT National Biomedical Imaging Center,Peking University,Beijing 100871,People's Republic of China College of Future Technology,Peking University,Beijing 100871,People's Republic of China Tazaki, F. ORCID:0000-0003-0236-0600 Fujitsu, Atsugi Tokyo Electron Technology Solutions Limited,52 Matsunagane,Iwayado,Esashi,Oshu,Iwate 023-1101,Japan Tetarenko, A.J. ORCID:0000-0003-3906-4354 Lethbridge U. Department of Physics and Astronomy,University of Lethbridge,Lethbridge,Alberta T1K 3M4,Canada Tiede, P. ORCID:0000-0003-3826-5648 Harvard U. Harvard U. (main) Harvard-Smithsonian Ctr. Astrophys. Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Black Hole Initiative at Harvard University,20 Garden Street,Cambridge,MA 02138,USA Tilanus, R.P.J. ORCID:0000-0002-6514-553X Arizona U., Astron. Dept. - Steward Observ. Nijmegen U., IMAPP Leiden Observ. NWO, The Hague Steward Observatory and Department of Astronomy,University of Arizona,933 N. Cherry Ave.,Tucson,AZ 85721,USA Department of Astrophysics,Institute for Mathematics,Astrophysics and Particle Physics (IMAPP),Radboud University,P.O. Box 9010,6500 GL Nijmegen,The Netherlands Leiden Observatory,Leiden University,Postbus 2300,9513 RA Leiden,The Netherlands Netherlands Organisation for Scientific Research (NWO),Postbus 93138,2509 AC Den Haag,The Netherlands Titus, M. ORCID:0000-0001-9001-3275 MIT, LNS Massachusetts Institute of Technology Haystack Observatory,99 Millstone Road,Westford,MA 01886,USA Toma, K. ORCID:0000-0002-7114-6010 Tohoku U., IIAIR Tohoku U., Astron. Inst. Frontier Research Institute for Interdisciplinary Sciences,Tohoku University,Sendai 980-8578,Japan Astronomical Institute,Tohoku University,Sendai 980-8578,Japan Torne, P. ORCID:0000-0001-8700-6058 IRAM, Granada Bonn, Max Planck Inst., Radioastron. Institut de Radioastronomie Millimétrique (IRAM),Avenida Divina Pastora 7,Local 20,E-18012,Granada,Spain Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Toscano, T. ORCID:0000-0003-3658-7862 Granada U., Theor. Phys. Astrophys. Instituto de Astrofísica de Andalucía-CSIC,Glorieta de la Astronomía s/n,E-18008 Granada,Spain Traianou, E. ORCID:0000-0002-1209-6500 Granada U., Theor. Phys. Astrophys. Bonn, Max Planck Inst., Radioastron. Instituto de Astrofísica de Andalucía-CSIC,Glorieta de la Astronomía s/n,E-18008 Granada,Spain Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Trent, T. Arizona U., Astron. Dept. - Steward Observ. Steward Observatory and Department of Astronomy,University of Arizona,933 N. Cherry Ave.,Tucson,AZ 85721,USA Trippe, S. ORCID:0000-0003-0465-1559 Seoul Natl. U., Dept. Phys. Astron. Department of Physics and Astronomy,Seoul National University,Gwanak-gu,Seoul 08826,Republic of Korea Turk, M. ORCID:0000-0002-5294-0198 Illinois U., Urbana, Astron. Dept. Department of Astronomy,University of Illinois at Urbana-Champaign,1002 West Green Street,Urbana,IL 61801,USA van Bemmel, I. ORCID:0000-0001-5473-2950 ASTRON, Dwingeloo Joint Institute for VLBI ERIC (JIVE),Oude Hoogeveensedijk 4,7991 PD Dwingeloo,The Netherlands van Langevelde, H.J. ORCID:0000-0002-0230-5946 ASTRON, Dwingeloo Leiden Observ. New Mexico U. Joint Institute for VLBI ERIC (JIVE),Oude Hoogeveensedijk 4,7991 PD Dwingeloo,The Netherlands Leiden Observatory,Leiden University,Postbus 2300,9513 RA Leiden,The Netherlands University of New Mexico,Department of Physics and Astronomy,Albuquerque,NM 87131,USA van Rossum, D.R. ORCID:0000-0001-7772-6131 Nijmegen U., IMAPP Department of Astrophysics,Institute for Mathematics,Astrophysics and Particle Physics (IMAPP),Radboud University,P.O. Box 9010,6500 GL Nijmegen,The Netherlands Vos, J. ORCID:0000-0003-3349-7394 Nijmegen U., IMAPP Department of Astrophysics,Institute for Mathematics,Astrophysics and Particle Physics (IMAPP),Radboud University,P.O. Box 9010,6500 GL Nijmegen,The Netherlands Wagner, J. ORCID:0000-0003-1105-6109 Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Ward-Thompson, D. ORCID:0000-0003-1140-2761 Central Lancashire U. Jeremiah Horrocks Institute,University of Central Lancashire,Preston PR1 2HE,UK Wardle, J. ORCID:0000-0002-8960-2942 Brandeis U. Physics Department,Brandeis University,415 South Street,Waltham,MA 02453,USA Washington, J.E. ORCID:0000-0002-7046-0470 Arizona U., Astron. Dept. - Steward Observ. Steward Observatory and Department of Astronomy,University of Arizona,933 N. Cherry Ave.,Tucson,AZ 85721,USA Weintroub, J. ORCID:0000-0002-4603-5204 Harvard U. (main) Harvard-Smithsonian Ctr. Astrophys. Harvard U. Black Hole Initiative at Harvard University,20 Garden Street,Cambridge,MA 02138,USA Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Wharton, R. ORCID:0000-0002-7416-5209 Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Wielgus, M. ORCID:0000-0002-8635-4242 Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Wiik, K. ORCID:0000-0002-0862-3398 Tuorla Observ. Tuorla Observatory,Department of Physics and Astronomy,University of Turku,Finland Witzel, G. ORCID:0000-0003-2618-797X Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Wondrak, M.F. ORCID:0000-0002-6894-1072 Nijmegen U., IMAPP Department of Astrophysics,Institute for Mathematics,Astrophysics and Particle Physics (IMAPP),Radboud University,P.O. Box 9010,6500 GL Nijmegen,The Netherlands Radboud Excellence Fellow of Radboud University,Nijmegen,The Netherlands Wong, G.N. ORCID:0000-0001-6952-2147 Princeton, Inst. Advanced Study Princeton U. School of Natural Sciences,Institute for Advanced Study,1 Einstein Drive,Princeton,NJ 08540,USA Princeton Gravity Initiative,Jadwin Hall,Princeton University,Princeton,NJ 08544,USA Wu, Q. ORCID:0000-0003-4773-4987 Hua-Zhong U. Sci. Tech. School of Physics,Huazhong University of Science and Technology,Wuhan,Hubei,430074,People's Republic of China Yadlapalli, N. ORCID:0000-0003-3255-4617 Caltech California Institute of Technology,1200 East California Boulevard,Pasadena,CA 91125,USA Yamaguchi, P. ORCID:0000-0002-6017-8199 Harvard U. Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Yfantis, A. ORCID:0000-0002-3244-7072 Nijmegen U., IMAPP Department of Astrophysics,Institute for Mathematics,Astrophysics and Particle Physics (IMAPP),Radboud University,P.O. Box 9010,6500 GL Nijmegen,The Netherlands Yoon, D. ORCID:0000-0001-8694-8166 Amsterdam U., Astron. Inst. API-Anton Pannekoek Institute for Astronomy,University of Amsterdam,Science Park 904,1098 XH Amsterdam,The Netherlands Young, A. ORCID:0000-0003-0000-2682 Nijmegen U., IMAPP Department of Astrophysics,Institute for Mathematics,Astrophysics and Particle Physics (IMAPP),Radboud University,P.O. Box 9010,6500 GL Nijmegen,The Netherlands Younsi, Z. ORCID:0000-0001-9283-1191 Mullard Space Sci. Lab. Frankfurt U. Mullard Space Science Laboratory,University College London,Holmbury St. Mary,Dorking,Surrey,RH5 6NT,UK Institut für Theoretische Physik,Goethe-Universität Frankfurt,Max-von-Laue-Straße 1,D-60438 Frankfurt am Main,Germany Yu, W. ORCID:0000-0002-5168-6052 Harvard U. Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Yuan, F. ORCID:0000-0003-3564-6437 Fudan U. Center for Astronomy and Astrophysics and Department of Physics,Fudan University,Shanghai 200438,People's Republic of China Yuan, Y.-F. ORCID:0000-0002-7330-4756 Hefei, CUST Astronomy Department,University of Science and Technology of China,Hefei 230026,People's Republic of China Zensus, J.A. ORCID:0000-0001-7470-3321 Bonn, Max Planck Inst., Radioastron. Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Zhang, S. ORCID:0000-0002-2967-790X Michigan State U. Department of Physics and Astronomy,Michigan State University,567 Wilson Rd,East Lansing,MI 48824,USA Zhao, G.-Y. ORCID:0000-0002-4417-1659 Granada U., Theor. Phys. Astrophys. Bonn, Max Planck Inst., Radioastron. Instituto de Astrofísica de Andalucía-CSIC,Glorieta de la Astronomía s/n,E-18008 Granada,Spain Max-Planck-Institut für Radioastronomie,Auf dem Hügel 69,D-53121 Bonn,Germany Zhao, S.-S. ORCID:0000-0002-9774-3606 Shanghai, Astron. Observ. Shanghai Astronomical Observatory,Chinese Academy of Sciences,80 Nandan Road,Shanghai 200030,People’s Republic of China Bellazzini, R. INFN, Pisa Istituto Nazionale di Fisica Nucleare,Sezione di Pisa,I-56127 Pisa,Italy Berenji, B. Cal State, L.A. California State University,Los Angeles,Department of Physics and Astronomy,Los Angeles,CA 90032,USA Bissaldi, E. Bari Polytechnic INFN, Bari Dipartimento di Fisica "M. Merlin" dell'Università e del Politecnico di Bari,via Amendola 173,I-70126 Bari,Italy Istituto Nazionale di Fisica Nucleare,Sezione di Bari,I-70126 Bari,Italy Blandford, R.D. Stanford U., HEPL KIPAC, Menlo Park Stanford U., Phys. Dept. W. W. Hansen Experimental Physics Laboratory,Kavli Institute for Particle Astrophysics and Cosmology,Department of Physics and SLAC National Accelerator Laboratory,Stanford University,Stanford,CA 94305,USA Bonino, R. INFN, Turin Turin U. Istituto Nazionale di Fisica Nucleare,Sezione di Torino,I-10125 Torino,Italy Dipartimento di Fisica,Università degli Studi di Torino,I-10125 Torino,Italy Bruel, P. LLR, Palaiseau Laboratoire Leprince-Ringuet,CNRS/IN2P3,'Ecole polytechnique,Institut Polytechnique de Paris,91120 Palaiseau,France Cameron, R.A. Stanford U., HEPL KIPAC, Menlo Park Stanford U., Phys. Dept. W. W. Hansen Experimental Physics Laboratory,Kavli Institute for Particle Astrophysics and Cosmology,Department of Physics and SLAC National Accelerator Laboratory,Stanford University,Stanford,CA 94305,USA Caraveo, P.A. IASF, Milan INAF-Istituto di Astrofisica Spaziale e Fisica Cosmica Milano,via E. Bassini 15,I-20133 Milano,Italy Cavazzuti, E. ASI, Rome Italian Space Agency,Via del Politecnico snc,00133 Roma,Italy Cheung, C.C. Naval Research Lab, Wash., D.C. Space Science Division,Naval Research Laboratory,Washington,DC 20375-5352,USA Ciprini, S. INFN, Rome2 Rome Observ. ASI, Rome Istituto Nazionale di Fisica Nucleare,Sezione di Roma "Tor Vergata",I-00133 Roma,Italy Space Science Data Center - Agenzia Spaziale Italiana,Via del Politecnico,snc,I-00133,Roma,Italy Orestano, P. Cristarella U. Perugia (main) INFN, Perugia Dipartimento di Fisica,Università degli Studi di Perugia,I-06123 Perugia,Italy Istituto Nazionale di Fisica Nucleare,Sezione di Perugia,I-06123 Perugia,Italy Cutini, S. INFN, Perugia Istituto Nazionale di Fisica Nucleare,Sezione di Perugia,I-06123 Perugia,Italy Di Lalla, N. Stanford U., HEPL KIPAC, Menlo Park Stanford U., Phys. Dept. W. W. Hansen Experimental Physics Laboratory,Kavli Institute for Particle Astrophysics and Cosmology,Department of Physics and SLAC National Accelerator Laboratory,Stanford University,Stanford,CA 94305,USA Dinesh, A. Madrid U. Grupo de Altas Energ'ias,Universidad Complutense de Madrid,E-28040 Madrid,Spain Di Venere, L. INFN, Bari Istituto Nazionale di Fisica Nucleare,Sezione di Bari,I-70126 Bari,Italy Domínguez, A. Madrid U. Grupo de Altas Energ'ias,Universidad Complutense de Madrid,E-28040 Madrid,Spain Fegan, S.J. LLR, Palaiseau Laboratoire Leprince-Ringuet,CNRS/IN2P3,'Ecole polytechnique,Institut Polytechnique de Paris,91120 Palaiseau,France Franckowiak, A. Ruhr U., Bochum Ruhr University Bochum,Faculty of Physics and Astronomy,Astronomical Institute (AIRUB),44780 Bochum,Germany Fukazawa, Y. Hiroshima U. Department of Physical Sciences,Hiroshima University,Higashi-Hiroshima,Hiroshima 739-8526,Japan Fusco, P. Bari Polytechnic INFN, Bari Dipartimento di Fisica "M. Merlin" dell'Università e del Politecnico di Bari,via Amendola 173,I-70126 Bari,Italy Istituto Nazionale di Fisica Nucleare,Sezione di Bari,I-70126 Bari,Italy Gargano, F. INFN, Bari Istituto Nazionale di Fisica Nucleare,Sezione di Bari,I-70126 Bari,Italy Gasbarra, C. INFN, Rome2 Rome U., Tor Vergata Istituto Nazionale di Fisica Nucleare,Sezione di Roma "Tor Vergata",I-00133 Roma,Italy Dipartimento di Fisica,Università di Roma "Tor Vergata",I-00133 Roma,Italy Germani, S. U. Perugia (main) Dipartimento di Fisica,Università degli Studi di Perugia,I-06123 Perugia,Italy Giliberti, M. INFN, Bari Bari Polytechnic Istituto Nazionale di Fisica Nucleare,Sezione di Bari,I-70126 Bari,Italy Dipartimento di Fisica "M. Merlin" dell'Università e del Politecnico di Bari,via Amendola 173,I-70126 Bari,Italy Grenier, I.A. AIM, Saclay Universit'e Paris Cité,Université Paris-Saclay,CEA,CNRS,AIM,F-91191 Gif-sur-Yvette,France Hays, E. NASA, Goddard NASA Goddard Space Flight Center,Greenbelt,MD 20771,USA Horan, D. LLR, Palaiseau Laboratoire Leprince-Ringuet,CNRS/IN2P3,'Ecole polytechnique,Institut Polytechnique de Paris,91120 Palaiseau,France Kuss, M. INFN, Pisa Istituto Nazionale di Fisica Nucleare,Sezione di Pisa,I-56127 Pisa,Italy Larsson, S. Royal Inst. Tech., Stockholm Stockholm U., OKC Department of Physics,KTH Royal Institute of Technology,AlbaNova,SE-106 91 Stockholm,Sweden The Oskar Klein Centre for Cosmoparticle Physics,AlbaNova,SE-106 91 Stockholm,Sweden Liodakis, I. NASA, Marshall NASA Marshall Space Flight Center,Huntsville,AL 35812,USA Longo, F. Trieste U. INFN, Trieste Dipartimento di Fisica,Università di Trieste,I-34127 Trieste,Italy Istituto Nazionale di Fisica Nucleare,Sezione di Trieste,I-34127 Trieste,Italy Loparco, F. Bari Polytechnic INFN, Bari Dipartimento di Fisica "M. Merlin" dell'Università e del Politecnico di Bari,via Amendola 173,I-70126 Bari,Italy Istituto Nazionale di Fisica Nucleare,Sezione di Bari,I-70126 Bari,Italy Lovellette, M.N. Northrop-Grumman The Aerospace Corporation,14745 Lee Rd,Chantilly,VA 20151,USA Maldera, S. INFN, Turin Istituto Nazionale di Fisica Nucleare,Sezione di Torino,I-10125 Torino,Italy Mazziotta, M.N. INFN, Bari Istituto Nazionale di Fisica Nucleare,Sezione di Bari,I-70126 Bari,Italy Mereu, I. INFN, Perugia U. Perugia (main) Istituto Nazionale di Fisica Nucleare,Sezione di Perugia,I-06123 Perugia,Italy Dipartimento di Fisica,Università degli Studi di Perugia,I-06123 Perugia,Italy Michelson, P.F. Stanford U., HEPL KIPAC, Menlo Park Stanford U., Phys. Dept. W. W. Hansen Experimental Physics Laboratory,Kavli Institute for Particle Astrophysics and Cosmology,Department of Physics and SLAC National Accelerator Laboratory,Stanford University,Stanford,CA 94305,USA Mirabal, N. NASA, Goddard Maryland U., Baltimore County NASA Goddard Space Flight Center,Greenbelt,MD 20771,USA Department of Physics and Center for Space Sciences and Technology,University of Maryland Baltimore County,Baltimore,MD 21250,USA Mizuno, T. Hiroshima U., HASC Hiroshima Astrophysical Science Center,Hiroshima University,Higashi-Hiroshima,Hiroshima 739-8526,Japan Monzani, M.E. Stanford U., HEPL KIPAC, Menlo Park Stanford U., Phys. Dept. Vatican Astron. Observ. W. W. Hansen Experimental Physics Laboratory,Kavli Institute for Particle Astrophysics and Cosmology,Department of Physics and SLAC National Accelerator Laboratory,Stanford University,Stanford,CA 94305,USA Vatican Observatory,Castel Gandolfo,V-00120,Vatican City State Morselli, A. INFN, Rome2 Istituto Nazionale di Fisica Nucleare,Sezione di Roma "Tor Vergata",I-00133 Roma,Italy Negro, M. Louisiana State U., Math. Dept. Department of physics and Astronomy,Louisiana State University,Baton Rouge,LA 70803,USA Omodei, N. Stanford U., HEPL KIPAC, Menlo Park Stanford U., Phys. Dept. W. W. Hansen Experimental Physics Laboratory,Kavli Institute for Particle Astrophysics and Cosmology,Department of Physics and SLAC National Accelerator Laboratory,Stanford University,Stanford,CA 94305,USA Orlando, E. INFN, Trieste Trieste U. Stanford U., HEPL KIPAC, Menlo Park Stanford U., Phys. Dept. Istituto Nazionale di Fisica Nucleare,Sezione di Trieste,I-34127 Trieste,Italy Dipartimento di Fisica,Università di Trieste,I-34127 Trieste,Italy W. W. Hansen Experimental Physics Laboratory,Kavli Institute for Particle Astrophysics and Cosmology,Department of Physics and SLAC National Accelerator Laboratory,Stanford University,Stanford,CA 94305,USA Persic, M. INFN, Trieste Padua Observ. Istituto Nazionale di Fisica Nucleare,Sezione di Trieste,I-34127 Trieste,Italy INAF-Astronomical Observatory of Padova,Vicolo dell'Osservatorio 5,I-35122 Padova,Italy Rainò, S. Bari Polytechnic INFN, Bari Dipartimento di Fisica "M. Merlin" dell'Università e del Politecnico di Bari,via Amendola 173,I-70126 Bari,Italy Istituto Nazionale di Fisica Nucleare,Sezione di Bari,I-70126 Bari,Italy Rani, B. NASA, Goddard Maryland U., Baltimore County NASA Goddard Space Flight Center,Greenbelt,MD 20771,USA Department of Physics and Center for Space Sciences and Technology,University of Maryland Baltimore County,Baltimore,MD 21250,USA Reimer, A. Innsbruck U., Inst. Astrophys. Institut für Astro- und Teilchenphysik,Leopold-Franzens-Universität Innsbruck,A-6020 Innsbruck,Austria Reimer, O. Innsbruck U., Inst. Astrophys. Institut für Astro- und Teilchenphysik,Leopold-Franzens-Universität Innsbruck,A-6020 Innsbruck,Austria Sánchez-Conde, M. Madrid, IFT Madrid, Autonoma U. Instituto de Física Teórica UAM/CSIC,Universidad Autónoma de Madrid,E-28049 Madrid,Spain Departamento de Física Teórica,Universidad Autónoma de Madrid,28049 Madrid,Spain Sgrò, C. INFN, Pisa Istituto Nazionale di Fisica Nucleare,Sezione di Pisa,I-56127 Pisa,Italy Siskind, E.J. NYCB Real-Time Computing NYCB Real-Time Computing Inc.,Lattingtown,NY 11560-1025,USA Spinelli, P. Bari Polytechnic INFN, Bari Dipartimento di Fisica "M. Merlin" dell'Università e del Politecnico di Bari,via Amendola 173,I-70126 Bari,Italy Istituto Nazionale di Fisica Nucleare,Sezione di Bari,I-70126 Bari,Italy Suson, D.J. Purdue U., Calumet Purdue University Northwest,Hammond,IN 46323,USA Tajima, H. Nagoya U., ISEE KMI, Nagoya Nagoya University,Institute for Space-Earth Environmental Research,Furo-cho,Chikusa-ku,Nagoya 464-8601,Japan Kobayashi-Maskawa Institute for the Origin of Particles and the Universe,Nagoya University,Furo-cho,Chikusa-ku,Nagoya,Japan Torres, D.F. ICE, Barcelona ICREA, Barcelona Barcelona, Autonoma U. Institute of Space Sciences (ICE,CSIC),Campus UAB,Carrer de Magrans s/n,E-08193 Barcelona,Spain; and Institut d'Estudis Espacials de Catalunya (IEEC),E-08034 Barcelona,Spain Instituci'o Catalana de Recerca i Estudis Avanccats (ICREA),E-08010 Barcelona,Spain Zaharijas, G. Nova Gorica U. Center for Astrophysics and Cosmology,University of Nova Gorica,Nova Gorica,Slovenia Aharonian, F. ORCID:0000-0003-1157-3915 Dublin Inst. Heidelberg, Max Planck Inst. Yerevan State U. Tomsk Polytechnic U. Dublin Institute for Advanced Studies,31 Fitzwilliam Place,Dublin 2,Ireland Max-Planck-Institut für Kernphysik,Saupfercheckweg 1,69117 Heidelberg,Germany Yerevan State University,1 Alek Manukyan St,Yerevan 0025,Armenia Benkhali, F. Ait Heidelberg Observ. Landessternwarte,Universität Heidelberg,Königstuhl,D 69117 Heidelberg,Germany Aschersleben, J. Kapteyn Astron. Inst., Groningen Kapteyn Astronomical Institute,University of Groningen,Landleven 12,9747 AD Groningen,The Netherlands Ashkar, H. Ecole Polytechnique Laboratoire Leprince-Ringuet,École Polytechnique,CNRS,Institut Polytechnique de Paris,F-91128 Palaiseau,France Backes, M. ORCID:0000-0002-9326-6400 Namibia U. Potchefstroom U. University of Namibia,Department of Physics,Private Bag 13301,Windhoek 10005,Namibia Centre for Space Research,North-West University,Potchefstroom 2520,South Africa Barbosa Martins, V. ORCID:0000-0002-5085-8828 DESY, Zeuthen Ruhr U., Bochum Deutsches Elektronen-Synchrotron DESY,Platanenallee 6,15738 Zeuthen,Germany Ruhr University Bochum,Faculty of Physics and Astronomy,Astronomical Institute (AIRUB),44780 Bochum,Germany Batzofin, R. ORCID:0000-0002-5797-3386 U. Potsdam (main) Institut für Physik und Astronomie,Universität Potsdam,Karl-Liebknecht-Strasse 24/25,D 14476 Potsdam,Germany Becherini, Y. ORCID:0000-0002-2115-2930 APC, Paris Linkoping U. Université de Paris,CNRS,Astroparticule et Cosmologie,F-75013 Paris,France Department of Physics and Electrical Engineering,Linnaeus University,351 95 Växjö,Sweden Berge, D. ORCID:0000-0002-2918-1824 DESY, Zeuthen Parma U. INFN, Parma Humboldt U., Berlin Deutsches Elektronen-Synchrotron DESY,Platanenallee 6,15738 Zeuthen,Germany Institut für Physik,Humboldt-Universität zu Berlin,Newtonstr. 15,D 12489 Berlin,Germany Böttcher, M. ORCID:0000-0002-8434-5692 Potchefstroom U. Centre for Space Research,North-West University,Potchefstroom 2520,South Africa Boisson, C. LUTH, Meudon Laboratoire Univers et Théories,Observatoire de Paris,Université PSL,CNRS,Université Paris Cité,5 Pl. Jules Janssen,92190 Meudon,France Bolmont, J. LPNHE, Paris Sorbonne Université,CNRS/IN2P3,Laboratoire de Physique Nucléaire et de Hautes Energies,LPNHE,4 place Jussieu,75005 Paris,France de Lavergne, M. de Bony IRFU, Saclay IRFU,CEA,Université Paris-Saclay,F-91191 Gif-sur-Yvette,France Borowska, J. Parma U. INFN, Parma Humboldt U., Berlin Institut für Physik,Humboldt-Universität zu Berlin,Newtonstr. 15,D 12489 Berlin,Germany Bouyahiaoui, M. Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik,Saupfercheckweg 1,69117 Heidelberg,Germany Bradascio, F. IRFU, Saclay IRFU,CEA,Université Paris-Saclay,F-91191 Gif-sur-Yvette,France Brose, R. ORCID:0000-0002-8312-6930 Dublin Inst. Dublin Institute for Advanced Studies,31 Fitzwilliam Place,Dublin 2,Ireland Brown, A. JAI, UK University of Oxford,Department of Physics,Denys Wilkinson Building,Keble Road,Oxford OX1 3RH,UK Bruno, B. Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg,Erlangen Centre for Astroparticle Physics,Nikolaus-Fiebiger-Str. 2,91058 Erlangen,Germany Bulik, T. ORCID:0000-0003-2045-4803 Warsaw U. Observ. Astronomical Observatory,The University of Warsaw,Al. Ujazdowskie 4,00-478 Warsaw,Poland Burger-Scheidlin, C. Dublin Inst. Dublin Institute for Advanced Studies,31 Fitzwilliam Place,Dublin 2,Ireland Casanova, S. ORCID:0000-0002-6144-9122 Cracow, INP Instytut Fizyki Ja̧drowej PAN,ul. Radzikowskiego 152,31-342 Kraków,Poland Cecil, R. Hamburg U. Universität Hamburg,Institut für Experimentalphysik,Luruper Chaussee 149,D 22761 Hamburg,Germany Celic, J. Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg,Erlangen Centre for Astroparticle Physics,Nikolaus-Fiebiger-Str. 2,91058 Erlangen,Germany Cerruti, M. ORCID:0000-0001-7891-699X APC, Paris Université de Paris,CNRS,Astroparticule et Cosmologie,F-75013 Paris,France Chand, T. Potchefstroom U. Centre for Space Research,North-West University,Potchefstroom 2520,South Africa Chen, A. ORCID:0000-0001-6425-5692 U. Witwatersrand, Johannesburg, Sch. Phys. School of Physics,University of the Witwatersrand,1 Jan Smuts Avenue,Braamfontein,Johannesburg,2050 South Africa Chibueze, J. ORCID:0000-0002-9875-7436 Potchefstroom U. Centre for Space Research,North-West University,Potchefstroom 2520,South Africa Chibueze, O. Potchefstroom U. Centre for Space Research,North-West University,Potchefstroom 2520,South Africa Czerny, T. Cotter, G. ORCID:0000-0002-9975-1829 JAI, UK University of Oxford,Department of Physics,Denys Wilkinson Building,Keble Road,Oxford OX1 3RH,UK Mbarubucyeye, J. Damascene DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY,Platanenallee 6,15738 Zeuthen,Germany Devin, J. U. Montpellier 2, LUPM Laboratoire Univers et Particules de Montpellier,Université Montpellier,CNRS/IN2P3,CC 72,Place Eugène Bataillon,F-34095 Montpellier Cedex 5,France Djuvsland, J. Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik,Saupfercheckweg 1,69117 Heidelberg,Germany Dmytriiev, A. Potchefstroom U. Centre for Space Research,North-West University,Potchefstroom 2520,South Africa Ernenwein, J.-P. Marseille, CPPM Aix Marseille Université,CNRS/IN2P3,CPPM,Marseille,France Feijen, K. APC, Paris Université de Paris,CNRS,Astroparticule et Cosmologie,F-75013 Paris,France Fontaine, G. ORCID:0000-0003-1143-3883 Ecole Polytechnique Laboratoire Leprince-Ringuet,École Polytechnique,CNRS,Institut Polytechnique de Paris,F-91128 Palaiseau,France Funk, S. ORCID:0000-0002-2012-0080 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg,Erlangen Centre for Astroparticle Physics,Nikolaus-Fiebiger-Str. 2,91058 Erlangen,Germany Gabici, S. APC, Paris Université de Paris,CNRS,Astroparticule et Cosmologie,F-75013 Paris,France Glicenstein, J.F. IRFU, Saclay IRFU,CEA,Université Paris-Saclay,F-91191 Gif-sur-Yvette,France Goswami, P. APC, Paris Université de Paris,CNRS,Astroparticule et Cosmologie,F-75013 Paris,France Grolleron, G. LPNHE, Paris Sorbonne Université,CNRS/IN2P3,Laboratoire de Physique Nucléaire et de Hautes Energies,LPNHE,4 place Jussieu,75005 Paris,France Haerer, L. Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik,Saupfercheckweg 1,69117 Heidelberg,Germany Holch, T.L. ORCID:0000-0001-5161-1168 DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY,Platanenallee 6,15738 Zeuthen,Germany Holler, M. Innsbruck U. Universität Innsbruck,Institut für Astro- und Teilchenphysik,Technikerstraße 25,6020 Innsbruck,Austria Horns, D. ORCID:0000-0003-1945-0119 Hamburg U. Universität Hamburg,Institut für Experimentalphysik,Luruper Chaussee 149,D 22761 Hamburg,Germany Huang, Zhiqiu Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik,Saupfercheckweg 1,69117 Heidelberg,Germany Jamrozy, M. ORCID:0000-0002-0870-7778 Jagiellonian U., Astron. Observ. Obserwatorium Astronomiczne,Uniwersytet Jagielloński,ul. Orla 171,30-244 Kraków,Poland Jankowsky, F. Heidelberg Observ. Landessternwarte,Universität Heidelberg,Königstuhl,D 69117 Heidelberg,Germany Jung-Richardt, I. Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg,Erlangen Centre for Astroparticle Physics,Nikolaus-Fiebiger-Str. 2,91058 Erlangen,Germany Kasai, E. Namibia U. University of Namibia,Department of Physics,Private Bag 13301,Windhoek 10005,Namibia Katarzyński, K. Torun, Copernicus Astron. Ctr. Institute of Astronomy,Faculty of Physics,Astronomy and Informatics,Nicolaus Copernicus University,Grudziadzka 5,87-100 Torun,Poland Khatoon, R. Potchefstroom U. Centre for Space Research,North-West University,Potchefstroom 2520,South Africa Khélifi, B. ORCID:0000-0001-6876-5577 APC, Paris Université de Paris,CNRS,Astroparticule et Cosmologie,F-75013 Paris,France Kluźniak, W. Warsaw, Copernicus Astron. Ctr. Nicolaus Copernicus Astronomical Center,Polish Academy of Sciences,ul. Bartycka 18,00-716 Warsaw,Poland Komin, Nu. ORCID:0000-0003-3280-0582 U. Witwatersrand, Johannesburg, Sch. Phys. School of Physics,University of the Witwatersrand,1 Jan Smuts Avenue,Braamfontein,Johannesburg,2050 South Africa Kosack, K. ORCID:0000-0001-8424-3621 IRFU, Saclay IRFU,CEA,Université Paris-Saclay,F-91191 Gif-sur-Yvette,France Kundu, A. ORCID:0000-0003-2128-1414 Potchefstroom U. Centre for Space Research,North-West University,Potchefstroom 2520,South Africa Le Stum, S. Marseille, CPPM Aix Marseille Université,CNRS/IN2P3,CPPM,Marseille,France Leitl, F. Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg,Erlangen Centre for Astroparticle Physics,Nikolaus-Fiebiger-Str. 2,91058 Erlangen,Germany Lemière, A. APC, Paris Université de Paris,CNRS,Astroparticule et Cosmologie,F-75013 Paris,France Lemoine-Goumard, M. LP2I, Bordeaux Université Bordeaux,CNRS,LP2I Bordeaux,UMR 5797,F-33170 Gradignan,France Lenain, J.-P. ORCID:0000-0001-7284-9220 LPNHE, Paris Sorbonne Université,CNRS/IN2P3,Laboratoire de Physique Nucléaire et de Hautes Energies,LPNHE,4 place Jussieu,75005 Paris,France Leuschner, F. ORCID:0000-0001-9037-0272 Tubingen U., IAAT Institut für Astronomie und Astrophysik,Universität Tübingen,Sand 1,D 72076 Tübingen,Germany Luashvili, A. ORCID:0000-0003-4384-1638 LUTH, Meudon Laboratoire Univers et Théories,Observatoire de Paris,Université PSL,CNRS,Université Paris Cité,5 Pl. Jules Janssen,92190 Meudon,France Mackey, J. ORCID:0000-0002-5449-6131 Dublin Inst. Dublin Institute for Advanced Studies,31 Fitzwilliam Place,Dublin 2,Ireland Malyshev, D. ORCID:0000-0001-9689-2194 Tubingen U., IAAT Institut für Astronomie und Astrophysik,Universität Tübingen,Sand 1,D 72076 Tübingen,Germany Dubus, F. Dumm, J. Glawion, D. ORCID:0000-0003-4865-7696 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg,Erlangen Centre for Astroparticle Physics,Nikolaus-Fiebiger-Str. 2,91058 Erlangen,Germany Drouhin, A. Durouchoux, P. Fabbian, D. Franczak, D. Funk, M. Gabanyi, J. Garcia, N. Geiger, A. Gleeson, S. Gonzalez, S. Hyman, J. Kaaret, C. Kirk, D. Martí-Devesa, G. ORCID:0000-0003-0766-6473 Innsbruck U. Universität Innsbruck,Institut für Astro- und Teilchenphysik,Technikerstraße 25,6020 Innsbruck,Austria Marx, R. ORCID:0000-0002-6557-4924 Heidelberg Observ. Landessternwarte,Universität Heidelberg,Königstuhl,D 69117 Heidelberg,Germany Meyer, M. ORCID:0000-0002-0738-7581 Southern Denmark U., CP3-Origins University of Southern Denmark Mitchell, A. ORCID:0000-0003-3631-5648 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg,Erlangen Centre for Astroparticle Physics,Nikolaus-Fiebiger-Str. 2,91058 Erlangen,Germany Moderski, R. Warsaw, Copernicus Astron. Ctr. Nicolaus Copernicus Astronomical Center,Polish Academy of Sciences,ul. Bartycka 18,00-716 Warsaw,Poland Moghadam, M.O. U. Potsdam (main) Institut für Physik und Astronomie,Universität Potsdam,Karl-Liebknecht-Strasse 24/25,D 14476 Potsdam,Germany Mohrmann, L. ORCID:0000-0002-9667-8654 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik,Saupfercheckweg 1,69117 Heidelberg,Germany Montanari, A. ORCID:0000-0002-3620-0173 Heidelberg Observ. Landessternwarte,Universität Heidelberg,Königstuhl,D 69117 Heidelberg,Germany Moulin, E. ORCID:0000-0003-4007-0145 IRFU, Saclay IRFU,CEA,Université Paris-Saclay,F-91191 Gif-sur-Yvette,France de Naurois, M. ORCID:0000-0002-7245-201X Ecole Polytechnique Laboratoire Leprince-Ringuet,École Polytechnique,CNRS,Institut Polytechnique de Paris,F-91128 Palaiseau,France Niemiec, J. ORCID:0000-0001-6036-8569 Cracow, INP Instytut Fizyki Ja̧drowej PAN,ul. Radzikowskiego 152,31-342 Kraków,Poland O'Brien, P. Leicester U. Department of Physics and Astronomy,The University of Leicester,University Road,Leicester,LE1 7RH,United Kingdom Ohm, S. ORCID:0000-0002-3474-2243 DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY,Platanenallee 6,15738 Zeuthen,Germany de Ona Wilhelmi, E. DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY,Platanenallee 6,15738 Zeuthen,Germany Ostrowski, M. Jagiellonian U., Astron. Observ. Obserwatorium Astronomiczne,Uniwersytet Jagielloński,ul. Orla 171,30-244 Kraków,Poland Panny, S. ORCID:0000-0001-5770-3805 Innsbruck U. Universität Innsbruck,Institut für Astro- und Teilchenphysik,Technikerstraße 25,6020 Innsbruck,Austria Panter, M. Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik,Saupfercheckweg 1,69117 Heidelberg,Germany Pensec, U. LPNHE, Paris Sorbonne Université,CNRS/IN2P3,Laboratoire de Physique Nucléaire et de Hautes Energies,LPNHE,4 place Jussieu,75005 Paris,France Pita, S. APC, Paris Université de Paris,CNRS,Astroparticule et Cosmologie,F-75013 Paris,France Pühlhofer, G. ORCID:0000-0003-4632-4644 Tubingen U., IAAT Institut für Astronomie und Astrophysik,Universität Tübingen,Sand 1,D 72076 Tübingen,Germany Quirrenbach, A. Heidelberg Observ. Landessternwarte,Universität Heidelberg,Königstuhl,D 69117 Heidelberg,Germany Ravikularaman, S. APC, Paris Heidelberg, Max Planck Inst. Université de Paris,CNRS,Astroparticule et Cosmologie,F-75013 Paris,France Max-Planck-Institut für Kernphysik,Saupfercheckweg 1,69117 Heidelberg,Germany Reimer, A. ORCID:0000-0001-8604-7077 Innsbruck U. Universität Innsbruck,Institut für Astro- und Teilchenphysik,Technikerstraße 25,6020 Innsbruck,Austria Reimer, O. ORCID:0000-0001-6953-1385 Innsbruck U. Universität Innsbruck,Institut für Astro- und Teilchenphysik,Technikerstraße 25,6020 Innsbruck,Austria Reville, B. ORCID:0000-0002-3778-1432 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik,Saupfercheckweg 1,69117 Heidelberg,Germany Reis, I. IRFU, Saclay IRFU,CEA,Université Paris-Saclay,F-91191 Gif-sur-Yvette,France Ren, H. Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik,Saupfercheckweg 1,69117 Heidelberg,Germany Rieger, F. ORCID:0000-0003-1334-2993 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik,Saupfercheckweg 1,69117 Heidelberg,Germany Roellinghoff, G. Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg,Erlangen Centre for Astroparticle Physics,Nikolaus-Fiebiger-Str. 2,91058 Erlangen,Germany Rudak, B. ORCID:0000-0003-0452-3805 Warsaw, Copernicus Astron. Ctr. Nicolaus Copernicus Astronomical Center,Polish Academy of Sciences,ul. Bartycka 18,00-716 Warsaw,Poland Ruiz-Velasco, E. ORCID:0000-0001-6939-7825 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik,Saupfercheckweg 1,69117 Heidelberg,Germany Sabri, K. U. Montpellier 2, LUPM Laboratoire Univers et Particules de Montpellier,Université Montpellier,CNRS/IN2P3,CC 72,Place Eugène Bataillon,F-34095 Montpellier Cedex 5,France Salzmann, H. Tubingen U., IAAT Institut für Astronomie und Astrophysik,Universität Tübingen,Sand 1,D 72076 Tübingen,Germany Santangelo, A. ORCID:0000-0003-4187-9560 Tubingen U., IAAT Institut für Astronomie und Astrophysik,Universität Tübingen,Sand 1,D 72076 Tübingen,Germany Schäfer, J. Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg,Erlangen Centre for Astroparticle Physics,Nikolaus-Fiebiger-Str. 2,91058 Erlangen,Germany Schüssler, F. ORCID:0000-0003-1500-6571 IRFU, Saclay IRFU,CEA,Université Paris-Saclay,F-91191 Gif-sur-Yvette,France Schutte, H.M. ORCID:0000-0002-1769-5617 Potchefstroom U. Centre for Space Research,North-West University,Potchefstroom 2520,South Africa Shapopi, J.N.S. ORCID:0000-0002-7130-9270 Namibia U. University of Namibia,Department of Physics,Private Bag 13301,Windhoek 10005,Namibia Sharma, A. APC, Paris Université de Paris,CNRS,Astroparticule et Cosmologie,F-75013 Paris,France Sol, H. LUTH, Meudon Laboratoire Univers et Théories,Observatoire de Paris,Université PSL,CNRS,Université Paris Cité,5 Pl. Jules Janssen,92190 Meudon,France Spencer, S. ORCID:0000-0001-5516-1205 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg,Erlangen Centre for Astroparticle Physics,Nikolaus-Fiebiger-Str. 2,91058 Erlangen,Germany Stawarz, Ł. Jagiellonian U., Astron. Observ. Obserwatorium Astronomiczne,Uniwersytet Jagielloński,ul. Orla 171,30-244 Kraków,Poland Lohmann, K. Massaro, C. Miral, E. Paccagnella, F. Piotrowska, A. Saz Parkinson, P.M. UC, Santa Cruz, Inst. Part. Phys. UC, Santa Cruz Santa Cruz Institute for Particle Physics Department of Physics and Department of Astronomy and Astrophysics,University of California at Santa Cruz,Santa Cruz,CA 95064,USA Ramirez, L.R. Reville, S. Rowell, D.S. Lang, R.G. Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg,Erlangen Centre for Astroparticle Physics,Nikolaus-Fiebiger-Str. 2,91058 Erlangen,Germany Schlenstedt, M.S. ORCID:0000-0001-5302-1866 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg,Erlangen Centre for Astroparticle Physics,Nikolaus-Fiebiger-Str. 2,91058 Erlangen,Germany Einecke, S. ORCID:0000-0001-9687-8237 Adelaide U. School of Physical Sciences,University of Adelaide,Adelaide 5005,Australia Taylor, J.R. Torres, F. Tsujimoto, K. Tosti, F. Sahakian, V. ORCID:0000-0003-1198-0043 Yerevan Phys. Inst. Yerevan Physics Institute,2 Alikhanian Brothers St.,0036 Yerevan,Armenia Walraven, N.A. Welker, L. Zietkiewicz, M. Abdalla, G. Aleva, C. Benkhali, H.A. Ait Tubingen U., IAAT Institut für Astronomie und Astrophysik,Universität Tübingen,Sand 1,D 72076 Tübingen,Germany de Deus, E. Santos, J. de Los Fontanot, D. Levens, P. Zwart, A.E.E. Oliviero, S. Puglisi, D. Thiel, M. Zaharijas, C. Amaral, F. Boella, L. Holincheck, L. Queiroz, R. Sofue, H. Tellis, G. Wagner, G. Steppa, C. ORCID:0000-0003-0116-8836 U. Potsdam (main) Institut für Physik und Astronomie,Universität Potsdam,Karl-Liebknecht-Strasse 24/25,D 14476 Potsdam,Germany Streil, K. Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg,Erlangen Centre for Astroparticle Physics,Nikolaus-Fiebiger-Str. 2,91058 Erlangen,Germany Suzuki, H. Konan U. Department of Physics,Konan University,8-9-1 Okamoto,Higashinada,Kobe,Hyogo 658-8501,Japan Takahashi, T. Tokyo U., IPMU Kavli Institute for the Physics and Mathematics of the Universe (WPI),The University of Tokyo Institutes for Advanced Study (UTIAS),The University of Tokyo,5-1-5 Kashiwa-no-Ha,Kashiwa,Chiba,277-8583,Japan Tanaka, T. ORCID:0000-0002-4383-0368 Konan U. Department of Physics,Konan University,8-9-1 Okamoto,Higashinada,Kobe,Hyogo 658-8501,Japan Taylor, A.M. ORCID:0000-0001-9473-4758 DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY,Platanenallee 6,15738 Zeuthen,Germany Terrier, R. ORCID:0000-0002-8219-4667 APC, Paris Université de Paris,CNRS,Astroparticule et Cosmologie,F-75013 Paris,France Tluczykont, M. Hamburg U. Universität Hamburg,Institut für Experimentalphysik,Luruper Chaussee 149,D 22761 Hamburg,Germany Tsirou, M. DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY,Platanenallee 6,15738 Zeuthen,Germany van Eldik, C. ORCID:0000-0001-9669-645X Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg,Erlangen Centre for Astroparticle Physics,Nikolaus-Fiebiger-Str. 2,91058 Erlangen,Germany Vecchi, M. Kapteyn Astron. Inst., Groningen Kapteyn Astronomical Institute,University of Groningen,Landleven 12,9747 AD Groningen,The Netherlands Wach, T. Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg,Erlangen Centre for Astroparticle Physics,Nikolaus-Fiebiger-Str. 2,91058 Erlangen,Germany Wagner, S.J. ORCID:0000-0002-7474-6062 Heidelberg Observ. Landessternwarte,Universität Heidelberg,Königstuhl,D 69117 Heidelberg,Germany Wierzcholska, A. ORCID:0000-0003-4472-7204 Cracow, INP Instytut Fizyki Ja̧drowej PAN,ul. Radzikowskiego 152,31-342 Kraków,Poland Zacharias, M. ORCID:0000-0001-5801-3945 Heidelberg Observ. Potchefstroom U. Landessternwarte,Universität Heidelberg,Königstuhl,D 69117 Heidelberg,Germany Centre for Space Research,North-West University,Potchefstroom 2520,South Africa Zdziarski, A.A. ORCID:0000-0002-0333-2452 Warsaw, Copernicus Astron. Ctr. Nicolaus Copernicus Astronomical Center,Polish Academy of Sciences,ul. Bartycka 18,00-716 Warsaw,Poland Zech, A. ORCID:0000-0002-4388-5625 LUTH, Meudon Laboratoire Univers et Théories,Observatoire de Paris,Université PSL,CNRS,Université Paris Cité,5 Pl. Jules Janssen,92190 Meudon,France Żywucka, N. ORCID:0000-0003-2644-6441 Potchefstroom U. Centre for Space Research,North-West University,Potchefstroom 2520,South Africa Abe, S. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR),The University of Tokyo,Kashiwa,277-8582 Chiba,Japan Abhir, J. Zurich, ETH ETH Zürich,CH-8093 Zürich,Switzerland Abhishek, A. INFN, Pisa Siena U. Università di Siena and INFN Pisa,I-53100 Siena,Italy Acciari, V.A. Barcelona, IFAE Institut de Física d'Altes Energies (IFAE),The Barcelona Institute of Science and Technology (BIST),E-08193 Bellaterra (Barcelona),Spain Aguasca-Cabot, A. Barcelona U. Universitat de Barcelona,ICCUB,IEEC-UB,E-08028 Barcelona,Spain Agudo, I. IAA, Granada Instituto de Astrofísica de Andalucía-CSIC,Glorieta de la Astronomía s/n,18008,Granada,Spain Aniello, T. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy Ansoldi, S. Udine U. INFN, Trieste ICRA, Rome Università di Udine and INFN Trieste,I-33100 Udine,Italy also at International Center for Relativistic Astrophysics (ICRA),Rome,Italy Antonelli, L.A. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy Engels, A. Arbet Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik,D-85748 Garching,Germany Arcaro, C. INFM, Padua Università di Padova and INFN,I-35131 Padova,Italy Artero, M. Barcelona, IFAE Institut de Física d'Altes Energies (IFAE),The Barcelona Institute of Science and Technology (BIST),E-08193 Bellaterra (Barcelona),Spain Asano, K. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR),The University of Tokyo,Kashiwa,277-8582 Chiba,Japan Babić, A. Zagreb U. Croatian MAGIC Group: University of Zagreb,Faculty of Electrical Engineering and Computing (FER),10000 Zagreb,Croatia de Almeida, U. Barres Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas (CBPF),22290-180 URCA,Rio de Janeiro (RJ),Brazil Barrio, J.A. HIAST Madrid U. IPARCOS Institute and EMFTEL Department,Universidad Complutense de Madrid,E-28040 Madrid,Spain Batković, I. INFM, Padua Università di Padova and INFN,I-35131 Padova,Italy Bautista, A. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik,D-85748 Garching,Germany Baxter, J. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR),The University of Tokyo,Kashiwa,277-8582 Chiba,Japan González, J. Becerra IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica,Universidad de La Laguna,E-38200,La Laguna,Tenerife,Spain Bednarek, W. Lodz U. University of Lodz,Faculty of Physics and Applied Informatics,Department of Astrophysics,90-236 Lodz,Poland Bernardini, E. INFM, Padua Università di Padova and INFN,I-35131 Padova,Italy Bernete, J. Madrid, CIEMAT Centro de Investigaciones Energéticas,Medioambientales y Tecnológicas,E-28040 Madrid,Spain Berti, A. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik,D-85748 Garching,Germany Besenrieder, J. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik,D-85748 Garching,Germany Bigongiari, C. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy Biland, A. Zurich, ETH ETH Zürich,CH-8093 Zürich,Switzerland Blanch, O. Barcelona, IFAE Institut de Física d'Altes Energies (IFAE),The Barcelona Institute of Science and Technology (BIST),E-08193 Bellaterra (Barcelona),Spain Bonnoli, G. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy Bošnjak, Ž. Zagreb U. Croatian MAGIC Group: University of Zagreb,Faculty of Electrical Engineering and Computing (FER),10000 Zagreb,Croatia Bronzini, E. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy Burelli, I. Udine U. INFN, Trieste Università di Udine and INFN Trieste,I-33100 Udine,Italy Busetto, G. INFM, Padua Università di Padova and INFN,I-35131 Padova,Italy Campoy-Ordaz, A. Barcelona, Autonoma U. Departament de Física,and CERES-IEEC,Universitat Autònoma de Barcelona,E-08193 Bellaterra,Spain Carosi, A. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy Carosi, R. Pisa U. Università di Pisa and INFN Pisa,I-56126 Pisa,Italy Carretero-Castrillo, M. Barcelona U. Universitat de Barcelona,ICCUB,IEEC-UB,E-08028 Barcelona,Spain Castro-Tirado, A.J. IAA, Granada Instituto de Astrofísica de Andalucía-CSIC,Glorieta de la Astronomía s/n,18008,Granada,Spain Cerasole, D. Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell'Università e del Politecnico di Bari,I-70125 Bari,Italy Ceribella, G. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik,D-85748 Garching,Germany Chai, Y. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR),The University of Tokyo,Kashiwa,277-8582 Chiba,Japan Cifuentes, A. Madrid, CIEMAT Centro de Investigaciones Energéticas,Medioambientales y Tecnológicas,E-28040 Madrid,Spain Colombo, E. Barcelona, IFAE Institut de Física d'Altes Energies (IFAE),The Barcelona Institute of Science and Technology (BIST),E-08193 Bellaterra (Barcelona),Spain Contreras, J.L. HIAST Madrid U. IPARCOS Institute and EMFTEL Department,Universidad Complutense de Madrid,E-28040 Madrid,Spain Cortina, J. Madrid, CIEMAT Centro de Investigaciones Energéticas,Medioambientales y Tecnológicas,E-28040 Madrid,Spain Covino, S. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy D'Amico, G. Bergen U. Department for Physics and Technology,University of Bergen,Norway D'Elia, V. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy Da Vela, P. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy Dazzi, F. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy De Angelis, A. INFM, Padua Università di Padova and INFN,I-35131 Padova,Italy De Lotto, B. Udine U. INFN, Trieste Università di Udine and INFN Trieste,I-33100 Udine,Italy de Menezes, R. INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino,I-10125 Torino,Italy Delfino, M. Barcelona, IFAE PIC, Bellaterra Madrid, CIEMAT Institut de Física d'Altes Energies (IFAE),The Barcelona Institute of Science and Technology (BIST),E-08193 Bellaterra (Barcelona),Spain also at Port d'Informació Científica (PIC),E-08193 Bellaterra (Barcelona),Spain Delgado, J. Barcelona, IFAE PIC, Bellaterra Madrid, CIEMAT Institut de Física d'Altes Energies (IFAE),The Barcelona Institute of Science and Technology (BIST),E-08193 Bellaterra (Barcelona),Spain also at Port d'Informació Científica (PIC),E-08193 Bellaterra (Barcelona),Spain Mendez, C. Delgado Madrid, CIEMAT Centro de Investigaciones Energéticas,Medioambientales y Tecnológicas,E-28040 Madrid,Spain Di Pierro, F. INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino,I-10125 Torino,Italy Di Tria, R. Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell'Università e del Politecnico di Bari,I-70125 Bari,Italy Di Venere, L. ORCID:0000-0001-6993-1696 Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell'Università e del Politecnico di Bari,I-70125 Bari,Italy Dominis Prester, D. Rijeka U. Croatian MAGIC Group: University of Rijeka,Faculty of Physics,51000 Rijeka,Croatia Donini, A. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy Dorner, D. Wurzburg U. Universität Würzburg,D-97074 Würzburg,Germany Doro, M. INFM, Padua Università di Padova and INFN,I-35131 Padova,Italy Elsaesser, D. Tech. U., Dortmund (main) Technische Universität Dortmund,D-44221 Dortmund,Germany Escudero, J. IAA, Granada Instituto de Astrofísica de Andalucía-CSIC,Glorieta de la Astronomía s/n,18008,Granada,Spain Fariña, L. Barcelona, IFAE Institut de Física d'Altes Energies (IFAE),The Barcelona Institute of Science and Technology (BIST),E-08193 Bellaterra (Barcelona),Spain Fattorini, A. Tech. U., Dortmund (main) Technische Universität Dortmund,D-44221 Dortmund,Germany Foffano, L. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy Font, L. Barcelona, Autonoma U. Departament de Física,and CERES-IEEC,Universitat Autònoma de Barcelona,E-08193 Bellaterra,Spain Fröse, S. Tech. U., Dortmund (main) Technische Universität Dortmund,D-44221 Dortmund,Germany Fukami, S. Zurich, ETH ETH Zürich,CH-8093 Zürich,Switzerland Fukazawa, Y. ORCID:0000-0001-6993-1696 Hiroshima U. Japanese MAGIC Group: Physics Program,Graduate School of Advanced Science and Engineering,Hiroshima University,739-8526 Hiroshima,Japan López, R.J. García IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica,Universidad de La Laguna,E-38200,La Laguna,Tenerife,Spain Garczarczyk, M. DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY,Platanenallee 6,15738 Zeuthen,Germany Gasparyan, S. ICRANet, Yerevan Armenian MAGIC Group: ICRANet-Armenia,0019 Yerevan,Armenia Gaug, M. Barcelona, Autonoma U. Departament de Física,and CERES-IEEC,Universitat Autònoma de Barcelona,E-08193 Bellaterra,Spain Paiva, J.G. Giesbrecht Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas (CBPF),22290-180 URCA,Rio de Janeiro (RJ),Brazil Giglietto, N. Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell'Università e del Politecnico di Bari,I-70125 Bari,Italy Giordano, F. Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell'Università e del Politecnico di Bari,I-70125 Bari,Italy Gliwny, P. Lodz U. University of Lodz,Faculty of Physics and Applied Informatics,Department of Astrophysics,90-236 Lodz,Poland Godinović, N. Split U. Croatian MAGIC Group: University of Split,Faculty of Electrical Engineering,Mechanical Engineering and Naval Architecture (FESB),21000 Split,Croatia Gradetzke, T. Tech. U., Dortmund (main) Technische Universität Dortmund,D-44221 Dortmund,Germany Grau, R. Barcelona, IFAE Institut de Física d'Altes Energies (IFAE),The Barcelona Institute of Science and Technology (BIST),E-08193 Bellaterra (Barcelona),Spain Green, D. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik,D-85748 Garching,Germany Green, J.G. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik,D-85748 Garching,Germany Günther, P. Wurzburg U. Universität Würzburg,D-97074 Würzburg,Germany Hadasch, D. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR),The University of Tokyo,Kashiwa,277-8582 Chiba,Japan Hahn, A. ORCID:0000-0003-0827-5642 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik,D-85748 Garching,Germany Hassan, T. Madrid, CIEMAT Centro de Investigaciones Energéticas,Medioambientales y Tecnológicas,E-28040 Madrid,Spain Heckmann, L. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik,D-85748 Garching,Germany Llorente, J. Herrera IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica,Universidad de La Laguna,E-38200,La Laguna,Tenerife,Spain Hrupec, D. Boskovic Inst., Zagreb Croatian MAGIC Group: Josip Juraj Strossmayer University of Osijek,Department of Physics,31000 Osijek,Croatia Imazawa, R. Hiroshima U. Japanese MAGIC Group: Physics Program,Graduate School of Advanced Science and Engineering,Hiroshima University,739-8526 Hiroshima,Japan Ishio, K. Lodz U. University of Lodz,Faculty of Physics and Applied Informatics,Department of Astrophysics,90-236 Lodz,Poland Martínez, I. Jiménez Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik,D-85748 Garching,Germany Jormanainen, J. Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO,Department of Physics and Astronomy,University of Turku,FI-20014 Turku,Finland Kayanoki, T. Hiroshima U. Japanese MAGIC Group: Physics Program,Graduate School of Advanced Science and Engineering,Hiroshima University,739-8526 Hiroshima,Japan Kerszberg, D. Barcelona, IFAE Institut de Física d'Altes Energies (IFAE),The Barcelona Institute of Science and Technology (BIST),E-08193 Bellaterra (Barcelona),Spain Kluge, G.W. Bergen U. Oslo U. Department for Physics and Technology,University of Bergen,Norway also at Department of Physics,University of Oslo,Norway Kobayashi, Y. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR),The University of Tokyo,Kashiwa,277-8582 Chiba,Japan Kouch, P.M. Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO,Department of Physics and Astronomy,University of Turku,FI-20014 Turku,Finland Kubo, H. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR),The University of Tokyo,Kashiwa,277-8582 Chiba,Japan Kushida, J. Tokai U., Hiratsuka Japanese MAGIC Group: Department of Physics,Tokai University,Hiratsuka,259-1292 Kanagawa,Japan Láinez, M. HIAST Madrid U. IPARCOS Institute and EMFTEL Department,Universidad Complutense de Madrid,E-28040 Madrid,Spain Lamastra, A. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy Leone, F. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy Lindfors, E. Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO,Department of Physics and Astronomy,University of Turku,FI-20014 Turku,Finland Lombardi, S. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy López-Coto, R. IAA, Granada Instituto de Astrofísica de Andalucía-CSIC,Glorieta de la Astronomía s/n,18008,Granada,Spain López-Moya, M. HIAST Madrid U. IPARCOS Institute and EMFTEL Department,Universidad Complutense de Madrid,E-28040 Madrid,Spain López-Oramas, A. IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica,Universidad de La Laguna,E-38200,La Laguna,Tenerife,Spain Loporchio, S. Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell'Università e del Politecnico di Bari,I-70125 Bari,Italy Lorini, A. INFN, Pisa Siena U. Università di Siena and INFN Pisa,I-53100 Siena,Italy Lyard, E. ISDC, Versoix University of Geneva,Chemin d'Ecogia 16,CH-1290 Versoix,Switzerland de Oliveira Fraga, B. Machado Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas (CBPF),22290-180 URCA,Rio de Janeiro (RJ),Brazil Majumdar, P. Saha Inst. Saha Institute of Nuclear Physics,A CI of Homi Bhabha National Institute,Kolkata 700064,West Bengal,India Makariev, M. Sofiya, Inst. Nucl. Res. Inst. for Nucl. Research and Nucl. Energy,Bulgarian Academy of Sciences,BG-1784 Sofia,Bulgaria Maneva, G. Sofiya, Inst. Nucl. Res. Inst. for Nucl. Research and Nucl. Energy,Bulgarian Academy of Sciences,BG-1784 Sofia,Bulgaria Manganaro, M. Rijeka U. Croatian MAGIC Group: University of Rijeka,Faculty of Physics,51000 Rijeka,Croatia Mangano, S. Madrid, CIEMAT Centro de Investigaciones Energéticas,Medioambientales y Tecnológicas,E-28040 Madrid,Spain Mannheim, K. Wurzburg U. Universität Würzburg,D-97074 Würzburg,Germany Mariotti, M. INFM, Padua Università di Padova and INFN,I-35131 Padova,Italy Martínez, M. Barcelona, IFAE Institut de Física d'Altes Energies (IFAE),The Barcelona Institute of Science and Technology (BIST),E-08193 Bellaterra (Barcelona),Spain Martínez-Chicharro, M. Madrid, CIEMAT Centro de Investigaciones Energéticas,Medioambientales y Tecnológicas,E-28040 Madrid,Spain Mas-Aguilar, A. HIAST Madrid U. IPARCOS Institute and EMFTEL Department,Universidad Complutense de Madrid,E-28040 Madrid,Spain Mazin, D. ORCID:0000-0002-2010-4005 Tokyo U., ICRR Garching, Max Planck Inst., MPE Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR),The University of Tokyo,Kashiwa,277-8582 Chiba,Japan Max-Planck-Institut für Physik,D-85748 Garching,Germany Menchiari, S. INFN, Pisa Siena U. Università di Siena and INFN Pisa,I-53100 Siena,Italy Mender, S. Tech. U., Dortmund (main) Technische Universität Dortmund,D-44221 Dortmund,Germany Miceli, D. INFM, Padua Università di Padova and INFN,I-35131 Padova,Italy Miener, T. HIAST Madrid U. IPARCOS Institute and EMFTEL Department,Universidad Complutense de Madrid,E-28040 Madrid,Spain Miranda, J.M. INFN, Pisa Siena U. Università di Siena and INFN Pisa,I-53100 Siena,Italy Mirzoyan, R. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik,D-85748 Garching,Germany González, M. Molero IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica,Universidad de La Laguna,E-38200,La Laguna,Tenerife,Spain Molina, E. IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica,Universidad de La Laguna,E-38200,La Laguna,Tenerife,Spain Mondal, H.A. Saha Inst. Saha Institute of Nuclear Physics,A CI of Homi Bhabha National Institute,Kolkata 700064,West Bengal,India Moralejo, A. Barcelona, IFAE Institut de Física d'Altes Energies (IFAE),The Barcelona Institute of Science and Technology (BIST),E-08193 Bellaterra (Barcelona),Spain Morcuende, D. IAA, Granada Instituto de Astrofísica de Andalucía-CSIC,Glorieta de la Astronomía s/n,18008,Granada,Spain Nakamori, T. Yamagata U. Japanese MAGIC Group: Department of Physics,Yamagata University,Yamagata 990-8560,Japan Nanci, C. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy Neustroev, V. Oulu U. Finnish MAGIC Group: Space Physics and Astronomy Research Unit,University of Oulu,FI-90014 Oulu,Finland Nickel, L. Tech. U., Dortmund (main) Technische Universität Dortmund,D-44221 Dortmund,Germany Nievas Rosillo, M. IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica,Universidad de La Laguna,E-38200,La Laguna,Tenerife,Spain Nigro, C. Barcelona, IFAE Institut de Física d'Altes Energies (IFAE),The Barcelona Institute of Science and Technology (BIST),E-08193 Bellaterra (Barcelona),Spain Nikolić, L. INFN, Pisa Siena U. Università di Siena and INFN Pisa,I-53100 Siena,Italy Nilsson, K. Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO,Department of Physics and Astronomy,University of Turku,FI-20014 Turku,Finland Nishijima, K. Tokai U., Hiratsuka Japanese MAGIC Group: Department of Physics,Tokai University,Hiratsuka,259-1292 Kanagawa,Japan Ekoume, T. Njoh Barcelona, IFAE Institut de Física d'Altes Energies (IFAE),The Barcelona Institute of Science and Technology (BIST),E-08193 Bellaterra (Barcelona),Spain Noda, K. Chiba U. Japanese MAGIC Group: Chiba University,ICEHAP,263-8522 Chiba,Japan Nozaki, S. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik,D-85748 Garching,Germany Ohtani, Y. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR),The University of Tokyo,Kashiwa,277-8582 Chiba,Japan Okumura, A. KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe,Nagoya University,464-6801 Nagoya,Japan Otero-Santos, J. IAA, Granada Instituto de Astrofísica de Andalucía-CSIC,Glorieta de la Astronomía s/n,18008,Granada,Spain Paiano, S. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy Paneque, D. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik,D-85748 Garching,Germany Paoletti, R. INFN, Pisa Siena U. Università di Siena and INFN Pisa,I-53100 Siena,Italy Paredes, J.M. Barcelona U. Universitat de Barcelona,ICCUB,IEEC-UB,E-08028 Barcelona,Spain Peresano, M. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik,D-85748 Garching,Germany Persic, M. ORCID:0000-0001-6993-1696 Udine U. INFN, Trieste INFN, Padua Università di Udine and INFN Trieste,I-33100 Udine,Italy also at INAF Padova Pihet, M. INFM, Padua Università di Padova and INFN,I-35131 Padova,Italy Pirola, G. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik,D-85748 Garching,Germany Podobnik, F. INFN, Pisa Siena U. Università di Siena and INFN Pisa,I-53100 Siena,Italy Prada Moroni, P.G. Pisa U. Università di Pisa and INFN Pisa,I-56126 Pisa,Italy Prandini, E. INFM, Padua Università di Padova and INFN,I-35131 Padova,Italy Priyadarshi, C. Barcelona, IFAE Institut de Física d'Altes Energies (IFAE),The Barcelona Institute of Science and Technology (BIST),E-08193 Bellaterra (Barcelona),Spain Ribó, M. Barcelona U. Universitat de Barcelona,ICCUB,IEEC-UB,E-08028 Barcelona,Spain Rico, J. Barcelona, IFAE Institut de Física d'Altes Energies (IFAE),The Barcelona Institute of Science and Technology (BIST),E-08193 Bellaterra (Barcelona),Spain Righi, C. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy Sahakyan, N. ICRANet, Yerevan Armenian MAGIC Group: ICRANet-Armenia,0019 Yerevan,Armenia Saito, T. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR),The University of Tokyo,Kashiwa,277-8582 Chiba,Japan Saturni, F.G. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy Schmidt, K. Tech. U., Dortmund (main) Technische Universität Dortmund,D-44221 Dortmund,Germany Schmuckermaier, F. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik,D-85748 Garching,Germany Schubert, J.L. Tech. U., Dortmund (main) Technische Universität Dortmund,D-44221 Dortmund,Germany Schweizer, T. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik,D-85748 Garching,Germany Sciaccaluga, A. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy Silvestri, G. INFM, Padua Università di Padova and INFN,I-35131 Padova,Italy Sitarek, J. Lodz U. University of Lodz,Faculty of Physics and Applied Informatics,Department of Astrophysics,90-236 Lodz,Poland Sliusar, V. ISDC, Versoix University of Geneva,Chemin d'Ecogia 16,CH-1290 Versoix,Switzerland Sobczynska, D. Lodz U. University of Lodz,Faculty of Physics and Applied Informatics,Department of Astrophysics,90-236 Lodz,Poland Spolon, A. INFM, Padua Università di Padova and INFN,I-35131 Padova,Italy Stamerra, A. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy Strišković, J. Boskovic Inst., Zagreb Croatian MAGIC Group: Josip Juraj Strossmayer University of Osijek,Department of Physics,31000 Osijek,Croatia Strom, D. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik,D-85748 Garching,Germany Strzys, M. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR),The University of Tokyo,Kashiwa,277-8582 Chiba,Japan Suda, Y. Hiroshima U. Japanese MAGIC Group: Physics Program,Graduate School of Advanced Science and Engineering,Hiroshima University,739-8526 Hiroshima,Japan Suutarinen, S. Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO,Department of Physics and Astronomy,University of Turku,FI-20014 Turku,Finland Tajima, H. ORCID:0000-0001-6993-1696 KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe,Nagoya University,464-6801 Nagoya,Japan Takahashi, M. KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe,Nagoya University,464-6801 Nagoya,Japan Takeishi, R. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR),The University of Tokyo,Kashiwa,277-8582 Chiba,Japan Tavecchio, F. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy Temnikov, P. Sofiya, Inst. Nucl. Res. Inst. for Nucl. Research and Nucl. Energy,Bulgarian Academy of Sciences,BG-1784 Sofia,Bulgaria Terauchi, K. Kyoto U. Japanese MAGIC Group: Department of Physics,Kyoto University,606-8502 Kyoto,Japan Terzić, T. Rijeka U. Croatian MAGIC Group: University of Rijeka,Faculty of Physics,51000 Rijeka,Croatia Teshima, M. Garching, Max Planck Inst., MPE Tokyo U., ICRR Max-Planck-Institut für Physik,D-85748 Garching,Germany Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR),The University of Tokyo,Kashiwa,277-8582 Chiba,Japan Truzzi, S. INFN, Pisa Siena U. Università di Siena and INFN Pisa,I-53100 Siena,Italy Tutone, A. INAF, Rome National Institute for Astrophysics (INAF),I-00136 Rome,Italy Ubach, S. Barcelona, Autonoma U. Departament de Física,and CERES-IEEC,Universitat Autònoma de Barcelona,E-08193 Bellaterra,Spain van Scherpenberg, J. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik,D-85748 Garching,Germany Vazquez Acosta, M. IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica,Universidad de La Laguna,E-38200,La Laguna,Tenerife,Spain Ventura, S. INFN, Pisa Siena U. Università di Siena and INFN Pisa,I-53100 Siena,Italy Verna, G. INFN, Pisa Siena U. Università di Siena and INFN Pisa,I-53100 Siena,Italy Viale, I. INFM, Padua Università di Padova and INFN,I-35131 Padova,Italy Vigorito, C.F. INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino,I-10125 Torino,Italy Vitale, V. INFN, Rome2 INFN MAGIC Group: INFN Roma Tor Vergata,I-00133 Roma,Italy Vovk, I. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR),The University of Tokyo,Kashiwa,277-8582 Chiba,Japan Walter, R. ISDC, Versoix University of Geneva,Chemin d'Ecogia 16,CH-1290 Versoix,Switzerland Will, M. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik,D-85748 Garching,Germany Wunderlich, C. INFN, Pisa Siena U. Università di Siena and INFN Pisa,I-53100 Siena,Italy Yamamoto, T. Konan U. Japanese MAGIC Group: Department of Physics,Konan University,Kobe,Hyogo 658-8501,Japan Acharyya, A. ORCID:0000-0002-2028-9230 Southern Denmark U., CP3-Origins CP3-Origins,University of Southern Denmark,Campusvej 55,5230 Odense M,Denmark Adams, C.B. ORCID:0000-0002-9021-6192 Columbia U. Columbia U., Astron. Astrophys. Physics Department,Columbia University,New York,NY 10027,USA Bangale, P. ORCID:0000-0002-3886-3739 Delaware U. Department of Physics and Astronomy and the Bartol Research Institute,University of Delaware,Newark,DE 19716,USA Bartkoske, J.T. ORCID:0000-0002-9675-7328 Utah U. Department of Physics and Astronomy,University of Utah,Salt Lake City,UT 84112,USA Benbow, W. ORCID:0000-0003-2098-170X Harvard U. Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Christiansen, J.L. Unlisted Physics Department,California Polytechnic State University,San Luis Obispo,CA 94307,USA Duerr, A. ORCID:0000-0003-1716-4119 Utah U. Department of Physics and Astronomy,University of Utah,Salt Lake City,UT 84112,USA Errando, M. ORCID:0000-0002-1853-863X Washington U., St. Louis Department of Physics,Washington University,St. Louis,MO 63130,USA Feng, Q. ORCID:0000-0001-6674-4238 Utah U. Department of Physics and Astronomy,University of Utah,Salt Lake City,UT 84112,USA Foote, G.M. ORCID:0000-0002-2944-6060 Delaware U. Department of Physics and Astronomy and the Bartol Research Institute,University of Delaware,Newark,DE 19716,USA Fortson, L. ORCID:0000-0002-1067-8558 Minnesota U. School of Physics and Astronomy,University of Minnesota,Minneapolis,MN 55455,USA Furniss, A. ORCID:0000-0003-1614-1273 Cal State, East Bay Department of Physics,California State University - East Bay,Hayward,CA 94542,USA Hanlon, W. ORCID:0000-0002-0109-4737 Harvard U. Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Hervet, O. ORCID:0000-0003-3878-1677 UC, Santa Cruz, Inst. Part. Phys. Santa Cruz Institute for Particle Physics and Department of Physics,University of California,Santa Cruz,CA 95064,USA Hinrichs, C.E. ORCID:0000-0001-6951-2299 Harvard U. Dartmouth Coll. Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Department of Physics and Astronomy,Dartmouth College,6127 Wilder Laboratory,Hanover,NH 03755,USA Holder, J. ORCID:0000-0002-6833-0474 Delaware U. Department of Physics and Astronomy and the Bartol Research Institute,University of Delaware,Newark,DE 19716,USA Humensky, T.B. ORCID:0000-0002-1432-7771 Maryland U. NASA, Goddard Department of Physics,University of Maryland,College Park,MD,USA NASA GSFC,Greenbelt,MD 20771,USA Jin, W. ORCID:0000-0002-1089-1754 wjin@astro.ucla.edu UCLA Alabama U. Department of Physics and Astronomy,University of California,Los Angeles,CA 90095,USA Department of Physics and Astronomy,University of Alabama,Tuscaloosa,AL 35487,USA Johnson, M.N. ORCID:0009-0008-2688-0815 UC, Santa Cruz, Inst. Part. Phys. Santa Cruz Institute for Particle Physics and Department of Physics,University of California,Santa Cruz,CA 95064,USA Kaaret, P. ORCID:0000-0002-3638-0637 Iowa U. Department of Physics and Astronomy,University of Iowa,Van Allen Hall,Iowa City,IA 52242,USA Kertzman, M. DePauw U. Department of Physics and Astronomy,DePauw University,Greencastle,IN 46135-0037,USA Kieda, D. ORCID:0000-0003-4785-0101 Utah U. Department of Physics and Astronomy,University of Utah,Salt Lake City,UT 84112,USA Kleiner, T.K. ORCID:0000-0002-4260-9186 DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY,Platanenallee 6,15738 Zeuthen,Germany Korzoun, N. ORCID:0000-0002-4289-7106 Delaware U. Department of Physics and Astronomy and the Bartol Research Institute,University of Delaware,Newark,DE 19716,USA Krennrich, F. Iowa State U. Department of Physics and Astronomy,Iowa State University,Ames,IA 50011,USA Kumar, S. ORCID:0000-0002-5167-1221 Maryland U. Department of Physics,University of Maryland,College Park,MD,USA Lang, M.J. ORCID:0000-0003-4641-4201 Natl. U. of Ireland, Galway School of Natural Sciences,University of Galway,University Road,Galway,H91 TK33,Ireland Lundy, M. ORCID:0000-0003-3802-1619 McGill U. Physics Department,McGill University,Montreal,QC H3A 2T8,Canada Maier, G. ORCID:0000-0001-9868-4700 DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY,Platanenallee 6,15738 Zeuthen,Germany McGrath, C.E. University Coll., Dublin School of Physics,University College Dublin,Belfield,Dublin 4,Ireland Millard, M.J. ORCID:0000-0001-7106-8502 Iowa U. Department of Physics and Astronomy,University of Iowa,Van Allen Hall,Iowa City,IA 52242,USA Mooney, C.L. ORCID:0000-0001-5937-446X Delaware U. Department of Physics and Astronomy and the Bartol Research Institute,University of Delaware,Newark,DE 19716,USA Moriarty, P. ORCID:0000-0002-1499-2667 Natl. U. of Ireland, Galway School of Natural Sciences,University of Galway,University Road,Galway,H91 TK33,Ireland Mukherjee, R. ORCID:0000-0002-3223-0754 Barnard Coll. Department of Physics and Astronomy,Barnard College,Columbia University,NY 10027,USA Ning, W. ORCID:0000-0002-6121-3443 UCLA Department of Physics and Astronomy,University of California,Los Angeles,CA 90095,USA O'Brien, S. ORCID:0000-0002-9296-2981 McGill U. Queen's U., Kingston Physics Department,McGill University,Montreal,QC H3A 2T8,Canada Arthur B. McDonald Canadian Astroparticle Physics Research Institute,64 Bader Lane,Queen's University,Kingston,ON Canada,K7L 3N6 Ong, R.A. ORCID:0000-0002-4837-5253 UCLA Department of Physics and Astronomy,University of California,Los Angeles,CA 90095,USA Pohl, M. ORCID:0000-0001-7861-1707 Potsdam U. DESY, Zeuthen Institute of Physics and Astronomy,University of Potsdam,14476 Potsdam-Golm,Germany Deutsches Elektronen-Synchrotron DESY,Platanenallee 6,15738 Zeuthen,Germany Pueschel, E. ORCID:0000-0002-0529-1973 Ruhr U., Astron. Inst. Fakultät für Physik & Astronomie,Ruhr-Universität Bochum,D-44780 Bochum,Germany Quinn, J. ORCID:0000-0002-4855-2694 University Coll., Dublin School of Physics,University College Dublin,Belfield,Dublin 4,Ireland Ragan, K. ORCID:0000-0002-5351-3323 McGill U. Physics Department,McGill University,Montreal,QC H3A 2T8,Canada Reynolds, P.T. University Coll., Cork Department of Physical Sciences,Munster Technological University,Bishopstown,Cork,T12 P928,Ireland Ribeiro, D. ORCID:0000-0002-7523-7366 Minnesota U. School of Physics and Astronomy,University of Minnesota,Minneapolis,MN 55455,USA Roache, E. Harvard U. Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Ryan, J.L. ORCID:0000-0001-6662-5925 UCLA Department of Physics and Astronomy,University of California,Los Angeles,CA 90095,USA Sadeh, I. ORCID:0000-0003-1387-8915 DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY,Platanenallee 6,15738 Zeuthen,Germany Saha, L. ORCID:0000-0002-3171-5039 Harvard U. Center for Astrophysics | Harvard & Smithsonian,Cambridge,MA 02138,USA Santander, M. Alabama U. Department of Physics and Astronomy,University of Alabama,Tuscaloosa,AL 35487,USA Sembroski, G.H. Purdue U. Department of Physics and Astronomy,Purdue University,West Lafayette,IN 47907,USA Shang, R. ORCID:0000-0002-9856-989X Barnard Coll. Department of Physics and Astronomy,Barnard College,Columbia University,NY 10027,USA Splettstoesser, M. ORCID:0000-0003-3407-9936 UC, Santa Cruz, Inst. Part. Phys. Santa Cruz Institute for Particle Physics and Department of Physics,University of California,Santa Cruz,CA 95064,USA Talluri, A.K. Minnesota U. School of Physics and Astronomy,University of Minnesota,Minneapolis,MN 55455,USA Tucci, J.V. Indiana U.-Purdue U., Indianapolis Department of Physics,Indiana University-Purdue University Indianapolis,Indianapolis,IN 46202,USA Valverde, J. ORCID:0000-0002-8090-6528 Maryland U., Baltimore County NASA, Goddard Department of Physics,University of Maryland,Baltimore County,Baltimore MD 21250,USA NASA GSFC,Greenbelt,MD 20771,USA Vassiliev, V.V. UCLA Department of Physics and Astronomy,University of California,Los Angeles,CA 90095,USA Williams, D.A. ORCID:0000-0003-2740-9714 UC, Santa Cruz, Inst. Part. Phys. Santa Cruz Institute for Particle Physics and Department of Physics,University of California,Santa Cruz,CA 95064,USA Wong, S.L. ORCID:0000-0002-2730-2733 McGill U. Physics Department,McGill University,Montreal,QC H3A 2T8,Canada Chen, Z. Shanghai, Astron. Observ. Beijing Observ. Shanghai Astronomical Observatory,Chinese Academy of Sciences,80 Nandan Road,Shanghai 200030,People’s Republic of China Key Laboratory of Radio Astronomy and Technology,Chinese Academy of Sciences,A20 Datun Road,Chaoyang District,Beijing 100101,PR China Cui, L. ORCID:0000-0003-0721-5509 Shanghai, Astron. Observ. NAOC, Beijing Xinjiang Astron. Obs., Urumqi Shanghai Astronomical Observatory,Chinese Academy of Sciences,80 Nandan Road,Shanghai 200030,People’s Republic of China Xinjiang Astronomical Observatory,Chinese Academy of Sciences,150 Science 1-Street,Urumqi 830011,People’s Republic of China Hirota, T. ORCID:0000-0003-1659-095X KASI, DaeJeon Tokyo, Grad. U. Adv. Stud. Natl. Astron. Observ. of Japan Mizusawa VLBI Observatory,National Astronomical Observatory of Japan,2-12 Hoshigaoka,Mizusawa,Oshu,Iwate 023-0861,Japan Astronomical Science Program,The Graduate University for Advanced Studies (SOKENDAI),2-21-1 Osawa,Mitaka,Tokyo 181-8588,Japan Li, B. Shanghai, Astron. Observ. Beijing Observ. Shanghai Astronomical Observatory,Chinese Academy of Sciences,80 Nandan Road,Shanghai 200030,People’s Republic of China Key Laboratory of Radio Astronomy and Technology,Chinese Academy of Sciences,A20 Datun Road,Chaoyang District,Beijing 100101,PR China Li, G. NAOC, Beijing Xinjiang Astron. Obs., Urumqi Xinjiang Astronomical Observatory,Chinese Academy of Sciences,150 Science 1-Street,Urumqi 830011,People’s Republic of China Liu, Q. Shanghai, Astron. Observ. Beijing Observ. Shanghai Astronomical Observatory,Chinese Academy of Sciences,80 Nandan Road,Shanghai 200030,People’s Republic of China Key Laboratory of Radio Astronomy and Technology,Chinese Academy of Sciences,A20 Datun Road,Chaoyang District,Beijing 100101,PR China Liu, X. ORCID:0000-0001-9815-2579 Shanghai, Astron. Observ. NAOC, Beijing Xinjiang Astron. Obs., Urumqi Shanghai Astronomical Observatory,Chinese Academy of Sciences,80 Nandan Road,Shanghai 200030,People’s Republic of China Xinjiang Astronomical Observatory,Chinese Academy of Sciences,150 Science 1-Street,Urumqi 830011,People’s Republic of China Liu, Z. NAOC, Beijing Xinjiang Astron. Obs., Urumqi Xinjiang Astronomical Observatory,Chinese Academy of Sciences,150 Science 1-Street,Urumqi 830011,People’s Republic of China Ma, J. NAOC, Beijing Xinjiang Astron. Obs., Urumqi Xinjiang Astronomical Observatory,Chinese Academy of Sciences,150 Science 1-Street,Urumqi 830011,People’s Republic of China Niinuma, K. ORCID:0000-0002-8169-3579 Yamaguchi U., Grad. School of Sci. Eng. Yamaguchi U. Graduate School of Sciences and Technology for Innovation,Yamaguchi University The Research Institute for Time Studies,Yamaguchi University Ro, H. ORCID:0000-0002-7322-6436 KASI, DaeJeon Korea Astronomy and Space Science Institute,Daedeok-daero 776,Yuseong-gu,Daejeon 34055,Republic of Korea Sakai, N. ORCID:0000-0002-5814-0554 NARIT, Chiang Mai National Astronomical Research Institute of Thailand (NARIT),260 Moo 4,T. Donkaew,A. Maerim,50180 Chiangmai,Thailand Sawada-Satoh, S. ORCID:0000-0001-7719-274X Osaka Prefecture U. Graduate School of Science,Osaka Metropolitan University,1-1 Gakuen-cho,Naka-ku,Sakai,Osaka 599-8531,Japan Wajima, K. ORCID:0000-0003-3823-7954 KASI, DaeJeon Korea Astronomy and Space Science Institute,Daedeok-daero 776,Yuseong-gu,Daejeon 34055,Republic of Korea Wang, J. Shanghai, Astron. Observ. Beijing Observ. Shanghai Astronomical Observatory,Chinese Academy of Sciences,80 Nandan Road,Shanghai 200030,People’s Republic of China Key Laboratory of Radio Astronomy and Technology,Chinese Academy of Sciences,A20 Datun Road,Chaoyang District,Beijing 100101,PR China Wang, N. Shanghai, Astron. Observ. NAOC, Beijing Xinjiang Astron. Obs., Urumqi Shanghai Astronomical Observatory,Chinese Academy of Sciences,80 Nandan Road,Shanghai 200030,People’s Republic of China Xinjiang Astronomical Observatory,Chinese Academy of Sciences,150 Science 1-Street,Urumqi 830011,People’s Republic of China Xia, B. Shanghai, Astron. Observ. Beijing Observ. Shanghai Astronomical Observatory,Chinese Academy of Sciences,80 Nandan Road,Shanghai 200030,People’s Republic of China Key Laboratory of Radio Astronomy and Technology,Chinese Academy of Sciences,A20 Datun Road,Chaoyang District,Beijing 100101,PR China Yan, H. NAOC, Beijing Xinjiang Astron. Obs., Urumqi Xinjiang Astronomical Observatory,Chinese Academy of Sciences,150 Science 1-Street,Urumqi 830011,People’s Republic of China Yonekura, Y. ORCID:0000-0001-5615-5464 Ibaraki U., Mito Center for Astronomy,Ibaraki University,2-1-1 Bunkyo,Mito,Ibaraki 310-8512,Japan Zhang, H. NAOC, Beijing Xinjiang Astron. Obs., Urumqi Xinjiang Astronomical Observatory,Chinese Academy of Sciences,150 Science 1-Street,Urumqi 830011,People’s Republic of China Zhao, R. Shanghai, Astron. Observ. Beijing Observ. Shanghai Astronomical Observatory,Chinese Academy of Sciences,80 Nandan Road,Shanghai 200030,People’s Republic of China Key Laboratory of Radio Astronomy and Technology,Chinese Academy of Sciences,A20 Datun Road,Chaoyang District,Beijing 100101,PR China Zhong, W. Shanghai, Astron. Observ. Beijing Observ. Shanghai Astronomical Observatory,Chinese Academy of Sciences,80 Nandan Road,Shanghai 200030,People’s Republic of China Key Laboratory of Radio Astronomy and Technology,Chinese Academy of Sciences,A20 Datun Road,Chaoyang District,Beijing 100101,PR China Event Horizon Telescope Multi-wavelength Science Collaboration Event Horizon Telescope Collaboration Fermi Large Area Telescope Collaboration H.E.S.S. Collaboration MAGIC Collaboration VERITAS Collaboration EAVN Collaboration A140 publication Astron. Astrophys. 692 A&A 692, A140 (2024) 2024 https://lss.fnal.gov/archive/2024/pub/fermilab-pub-24-0804-ppd.pdf Fermilab Library Server 2556364 5996790 http://cds.cern.ch/record/2909982/files/2404.17623.pdf Fulltext 2680792 6443513 http://cds.cern.ch/record/2909982/files/d158ae043f27ff3a1c86f78f7302e5a8.pdf Fulltext 13 ARTICLE hidden 2909149 20250529073345.0 oai:cds.cern.ch:2909149 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI APS 10.1103/PhysRevD.110.104041 publication arXiv oai:arXiv.org:2408.14207 oai:inspirehep.net:2821790 https://inspirehep.net/api/oai2d Inspire 2025-05-28T10:30:04Z 2025-05-29T02:00:10Z marcxml true Inspire 2821790 arXiv arXiv:2408.14207 gr-qc CERN-TH-2024-140 eng De Luca, Valerio ORCID:0000-0002-1444-5372 vdeluca@sas.upenn.edu ROR:https://ror.org/00b30xv10 Pennsylvania U. Center for Particle Cosmology, Department of Physics and Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104, USA arXiv The Flea on the Elephant: tidal Love numbers in subsolar primordial black hole searches 2024-11-15 2024-08-26 9 p arXiv 9 pages, 3 figures. v2: matching version published in PRD APS Detecting subsolar objects in black hole binary mergers is considered a smoking gun signature of primordial black holes. Their supposedly vanishing tidal Love number is generically thought to help distinguish them from other subsolar and more deformable compact objects, such as neutron stars. We show that a large and detectable Love number of primordial black holes can be generated in the presence of even small disturbances of the system, thus potentially jeopardizing their discovery. However, such small perturbations are not tightly bound and are therefore disrupted before the mergers. We show that they leave a characteristic signature in the gravitational waveform that could be observed with current and future gravitational wave detectors. Thus, they may still hint towards the primordial nature of the black holes in the merger. Finally, we demonstrate that disregarding possible environmental effects in the matched-filter search for subsolar gravitational wave events can lead to a decreased sensitivity in the detectors. arXiv Detecting subsolar objects in black hole binary mergers is considered a smoking gun signature of primordial black holes. Their supposedly vanishing tidal Love number is generically thought to help distinguish them from other subsolar and more deformable compact objects, such as neutron stars. We show that a large and detectable Love number of primordial black holes can be generated in the presence of even small disturbances of the system, thus potentially jeopardizing their discovery. However, such small perturbations are not tightly bound and are therefore disrupted before the mergers. We show that they leave a characteristic signature in the gravitational waveform that could be observed with current and future gravitational wave detectors. Thus, they may still hint towards the primordial nature of the black holes in the merger. Finally, we demonstrate that disregarding possible environmental effects in the matched-filter search for subsolar gravitational wave events can lead to a decreased sensitivity in the detectors. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication American Physical Society © 2024 American Physical Society 2024 HAL arXiv hep-th SzGeCERN Particle Physics - Theory arXiv hep-ph SzGeCERN Particle Physics - Phenomenology arXiv astro-ph.CO SzGeCERN Astrophysics and Astronomy arXiv gr-qc SzGeCERN General Relativity and Cosmology CERN ARTICLE Franciolini, Gabriele ORCID:0000-0002-6892-9145 gabriele.franciolini@cern.ch ROR:https://ror.org/01ggx4157 CERN CERN, Theoretical Physics Department, Esplanade des Particules 1, Geneva 1211, Switzerland Riotto, Antonio antonio.riotto@unige.ch ROR:https://ror.org/010hz2d37 ROR:https://ror.org/01swzsf04 Geneva U. Annecy, LAPTH Département de Physique Théorique and Gravitational Wave Science Center (GWSC), Université de Genève, CH-1211 Geneva, Switzerland LAPTh, CNRS USMB F-74940 Annecy, France 104041 publication 10 Phys. Rev. D 110 2024 2555020 30190 http://cds.cern.ch/record/2909149/files/shell.png 00000 Schematic representation of the configuration of a thin matter shell around the BH and the source generating an effective tidal Love number. 2555021 3282399 http://cds.cern.ch/record/2909149/files/2408.14207.pdf Fulltext 2555022 6583 http://cds.cern.ch/record/2909149/files/plt1.png 00001 Relative uncertainty on the parameters controlling the tidal deformation effects induced by the matter shell around each BH. We simulate a binary BH located at a distance $d_L = 100 \, {\rm Mpc}$ with optimal orientation and subsolar masses (related by a representative mass ratio $q = 2/3$). We further assume the disturbance is the same in both systems and we fix $\epsilon =10^{-3}$, $\tilde L = 30$. The blue lines report the results obtained with current LVK O4 sensitivity, while in red are the future ET one. {\it Left panel:} relative $1\sigma$ uncertainty on the tidal deformability as a function of primary mass. {\it Right panel:} relative $1\sigma$ uncertainty on the cut-off frequency $f_\text{\tiny r}$ where deformability effects are switched off, as a function of $m_1$. 2555023 7050 http://cds.cern.ch/record/2909149/files/plt2.png 00002 Relative uncertainty on the parameters controlling the tidal deformation effects induced by the matter shell around each BH. We simulate a binary BH located at a distance $d_L = 100 \, {\rm Mpc}$ with optimal orientation and subsolar masses (related by a representative mass ratio $q = 2/3$). We further assume the disturbance is the same in both systems and we fix $\epsilon =10^{-3}$, $\tilde L = 30$. The blue lines report the results obtained with current LVK O4 sensitivity, while in red are the future ET one. {\it Left panel:} relative $1\sigma$ uncertainty on the tidal deformability as a function of primary mass. {\it Right panel:} relative $1\sigma$ uncertainty on the cut-off frequency $f_\text{\tiny r}$ where deformability effects are switched off, as a function of $m_1$. 2555024 42503 http://cds.cern.ch/record/2909149/files/faith2.png 00004 Faithfulness $\mathcal{F}$ between GW signals associated to a subsolar PBH binary evolving either in the vacuum or in an environment, parametrised by the thin matter shell. We assume that the binary is observed at ET. {\it Left panel:} behaviour in terms of the binary masses, fixing the matter shell parameters to $\epsilon = 10^{-3}$ and $\tilde{L}=30$. {\it Right panel:} behaviour in terms of the matter shell parameters, fixing the PBH masses to $m_1 = m_2 = 0.5 M_\odot$. 2555025 37514 http://cds.cern.ch/record/2909149/files/faith1.png 00003 Faithfulness $\mathcal{F}$ between GW signals associated to a subsolar PBH binary evolving either in the vacuum or in an environment, parametrised by the thin matter shell. We assume that the binary is observed at ET. {\it Left panel:} behaviour in terms of the binary masses, fixing the matter shell parameters to $\epsilon = 10^{-3}$ and $\tilde{L}=30$. {\it Right panel:} behaviour in terms of the matter shell parameters, fixing the PBH masses to $m_1 = m_2 = 0.5 M_\odot$. 13 ARTICLE 2908782 SzGeCERN 20251211153457.0 oai:cds.cern.ch:2908782 cerncds:FULLTEXT cerncds:CERN:FULLTEXT INIS cerncds:CERN DOI 10.1051/epjconf/202532000003 Inspire 2899709 CMS-CR-2024-127 eng Tornago, Marta INSPIRE-00687190 CCID-841085 IRFU, Saclay Operating a PbWO4 EM calorimeter in a harsh radiation environment 2024 Geneva CERN 09 Jul 2024 6 p The CMS Electromagnetic Calorimeter (ECAL) is the largest calorimeter operating in a high energy physics experiment. During the course of the LHC Run 1, Run 2, and Run 3, ECAL has made essential contributions to the CMS physics program by precisely measuring the energy, position, and time of arrival of photons and electrons, and of hadronic jets. Among the masterpieces of physics results achieved with its excellent energy resolution is the observation of the Higgs boson in its two photon decay in 2012, and the precise measurement of its properties. Operating a lead-tungstate scintillating calorimeter to such high precision and in a harsh radiation environment requires full control of the environmental conditions, such as temperature and bias voltages of the photodetectors, and a continuous correction of the crystal response changes. This paper focuses on the challenges faced over the recent Run 3 years -- experiencing the largest instantaneous luminosity up to now -- and describes the calibration techniques developed and the achieved results, also including the evolution of the monitoring system in preparation of the High Luminosity phase of the LHC. Publication CC-BY-4.0 http://creativecommons.org/licenses/by/4.0/ Publication The Authors 2025 CERN EDS For annual report SzGeCERN Detectors and Experimental Techniques CMS ECAL INTNOTE CERN PUBLCMS ARTICLE CERN LHC CMS PH CMS Collaboration C24-05-20.1 2554301 1298069 http://cds.cern.ch/record/2908782/files/CR2024_127.pdf 2802344 485341 http://cds.cern.ch/record/2908782/files/Publication.pdf Publication 2802344 239318 http://cds.cern.ch/record/2908782/files/Publication.jpg?subformat=icon-1440 icon-1440 Publication 2802344 239318 http://cds.cern.ch/record/2908782/files/Publication.jpg?subformat=icon-640 icon-640 Publication 2802344 239318 http://cds.cern.ch/record/2908782/files/Publication.jpg?subformat=icon-700 icon-700 Publication 2802344 77908 http://cds.cern.ch/record/2908782/files/Publication.gif?subformat=icon icon Publication 2802344 79936 http://cds.cern.ch/record/2908782/files/Publication.jpg?subformat=icon-180 icon-180 Publication n 202436 13 2928926 tsukuba20240520 PUBLIC INTNOTECMSPUBL ConferencePaper ARTICLE 2915277 20250515232613.0 oai:cds.cern.ch:2915277 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN Inspire 2844830 CERN-THESIS-2024-207 eng AUTHOR|(CDS)2274316 AUTHOR|(SzGeCERN)823279 Caspar, Maximilian maximilian.caspar@cern.ch DESY ATLAS ITk Silicon Strip Detector Performance Studies based on the System Test with Cosmic Muons at DESY 2024 21/10/2024 176 p Presented 21 Oct 2024 PhD Bonn U. 2024 The ATLAS experiment is the world’s largest collider-based particle physics experiment, located at the LHC in Geneva. An upgrade of the LHC will greatly increase the radiation environment and Track density in the inner region of the detector. Therefore, an upgraded version of the innermost tracking detector, the ITk, is being developed. This thesis presents systems and experiments surrounding the ITk strip detector end cap. As an ATLAS authorship qualification task, components of this detector, the bus tapes, were tested using a custom flying probe robot. A System Test setup was constructed at DESY as a test bench for the end cap and its services. It allows the operation of the silicon strip modules in a realistic environment with cooling. A system for monitoring the safety and environmental variables of the setup was constructed. It was used to measure the tightness of the gas volume enclosing the System Test, showing that the petal are safe from condensation even in the event of a sudden stop of the external dry air supply. An additional setup for testing single petals, the petal coldbox, was developed. With the petal coldbox, the temperature-dependent on-module cooling performance was studied. Both setups were used to study the noise of the detector modules. The repeatability of the noise measurements was studied, and the results were compared to an alternative DAQ system. A way of mitigating noise artefacts by treatment with ionised air was successfully tested with one of the petals. The noise environment before and after loading the modules onto the petal, as well as the difference between the noise environments in the coldbox and System Test, were studied. Finally, a successfully measurement of the noise crosstalk between the petal’s primary and secondary sides was performed. Using an external trigger setup, a cosmic muon signal was measured with a petal inserted into the System Test by performing a latency scan. This muon signal was clearly visible as an extended Plateau when performing a threshold scan with the same setup. This constitutes the first measurement of a real particle signal with a fully loaded petal. During this thesis, simulation methods for the ITk strip end cap modules have been developed. In particular, a way to perform hit clustering in the native module coordinate system before transforming the cluster position and resolution into Cartesian coordinates is presented. The new simulation method was verified using a beam telescope made out of R0 modules, achieving the expected Track reconstruction performance. Afterwards, a possible cosmic muon telescope setup in the System Test was investigated using Monte-Carlo simulations. The reconstruction of the cosmic muon Flux from the simulated data was demonstrated, showing the feasibility of future cosmic muon tracking measurements with the System Test setup. The angular resolution of this setup was also determined and shown to be sufficient for measuring the flux. Finally, a method for determining the module efficiency exploiting the stereo module geometry is presented and demonstrated in a simulation scenario. CERN EDS SzGeCERN Detectors and Experimental Techniques SzGeCERN Engineering CERN THESIS CERN HL-LHC ATLAS Gregor, Ingrid-Maria dir. DESY EP 2640209 103038807 http://cds.cern.ch/record/2915277/files/CERN-THESIS-2024-207.pdf maximilian.caspar@cern.ch n 202444 a2024 14 PUBLIC https://repository.cern/legacy/record/2915277 THESIS MIGRATED 2915017 SzGeCERN 20260415133236.0 DOI IEEE 10.1109/TNS.2024.3376749 oai:cds.cern.ch:2915017 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2820608 2024-10-24T07:16:32Z 2024-10-25T11:06:29Z marcxml Inspire 2820608 eng Coronetti, Andrea ORCID:0000-0001-8840-7400 CERN Institute d’Électronique et des Systèmes, Université de Montpellier, Montpellier, France IEEE The CELESTA CubeSat In-Flight Radiation Measurements and Their Comparison With Ground Facilities Predictions 2024 8 p IEEE The CELESTA CubeSat has employed radiation monitors developed by the Conseil Européen pour la Recherche Nucléaire (CERN) Centre, used for measuring the radiation environment at accelerators, to measure the space radiation field in a medium-Earth orbit (MEO). The technology is based on three static random-access memories (SRAMs) that are sensitive to single-event upsets (SEUs) and single-event latchups (SELs). The measurements were performed for the duration of two months. A statistically significant amount of SEUs and SELs was collected. No solar proton event effects were observed in the data during this period. The in-flight rates were compared with respect to estimations coming from the environmental space fluxes available in the Outil de Modelisation de l’Environmment Radiative Externe (OMERE) tool suite and ground facility measurements done with ions and protons. The analysis emphasizes the importance of employing more sophisticated satellite shielding models for the calculation of the fluxes reaching the detectors as well as the need to know accurately the proton energy threshold of the SEU cross section Weibull response of the devices. Both observations mainly arise from the peculiar spectral distribution of protons in this MEO peaking at 10–20 MeV, which differs from those of a low-Earth orbit (LEO) environment. publication CC BY-NC-ND 4.0 CERN-RP: IEEE https://creativecommons.org/licenses/by-nc-nd/4.0/ publication The authors 2024 SzGeCERN Detectors and Experimental Techniques author Extraterrestrial measurements author Random access memory author CubeSat author Protons author Field programmable gate arrays author Time measurement author Space vehicles author Ground Facilities author Cross-sectional author Background Radiation author Energy Threshold author Low Earth Orbit author Radiation Dosimetry author Solar Events author Static Random Access Memory author Total Rate author Figure Of Merit author Heavy Ions author State Machine author Shielding Effect author Dose Concentration author Ground Station author Large Hadron Collider author Data Reception author Onboard Computer author Galactic Cosmic Rays author Controller Area Network author Proton Flux author High-energy Protons author CERN Highly AcceleRated Mixed-field (CHARM) author commercial devices author in-flight measurements author radiation monitor author SEE ARTICLE CERN Zimmaro, Alessandro ORCID:0000-0003-2126-4913 CERN Institute d’Électronique et des Systèmes, Université de Montpellier, Montpellier, France Alía, Rubén García ORCID:0000-0001-8030-1804 CERN Danzeca, Salvatore ORCID:0000-0001-5517-521X CERN Masi, Alessandro ORCID:0000-0002-9237-3140 CERN Slipukhin, Ivan ORCID:0000-0003-3949-5824 CERN Institute d’Électronique et des Systèmes, Université de Montpellier, Montpellier, France Amodio, Alessio CERN Dijks, Jasper CERN Peronnard, Paul CERN Secondo, Raffaello ORCID:0000-0002-6667-6340 CERN Brugger, Markus CERN Chesta, Enrico ORCID:0000-0002-9702-0627 CERN Bernard, Muriel CERN Dusseau, Laurent IES, Montpellier Allain, Tristan IES, Montpellier Duarte, Rafael Mendes IES, Montpellier Vaillé, Jean-Roch IES, Montpellier Saigné, Frédéric IES, Montpellier Boch, Jerome ORCID:0000-0002-5660-7501 IES, Montpellier Dilillo, Luigi ORCID:0000-0002-1295-2688 IES, Montpellier 1623-1630 8 IEEE Trans. Nucl. Sci. 71 C23-09-25.6 2024 2627298 6432436 http://cds.cern.ch/record/2915017/files/document.pdf Fulltext 13 2958924 1623-1630 toulouse202320925 ARTICLE ConferencePaper 2913732 20250112042006.0 oai:cds.cern.ch:2913732 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI SISSA 10.22323/1.476.0921 arXiv oai:arXiv.org:2410.10617 oai:inspirehep.net:2839971 https://inspirehep.net/api/oai2d Inspire 2025-01-11T21:03:22Z 2025-01-12T03:00:08Z marcxml true Inspire 2839971 arXiv arXiv:2410.10617 physics.ins-det eng Melikyan, Yury yumelikyan@gmail.com Helsinki Inst. of Phys. Helsinki Institute of Physics P.O. Box 64, Helsinki 00014, Finland arXiv Status and performance of the ALICE Fast Interaction Trigger 2024-12-17 2024-10-14 6 p 6 p arXiv Proceedings of the 42nd International Conference on High Energy Physics (ICHEP2024) SISSA The ALICE apparatus at CERN has undergone significant upgrade during the LHC’s Long Shutdown 2 to increase the experiment’s rate capability and measurement precision for Run 3 and Run 4. One of the key detectors newly introduced to the experiment is the Fast Interaction Trigger (FIT). Featuring minimal dead time, FIT provides a comprehensive trigger menu, including the minimum bias trigger with an efficiency exceeding 90% in proton-proton collisions. It also provides centrality, event plane and background measurement capabilities. Precision of the collision time measurements performed by FIT reached remarkable values of σ = 17 ps in proton-proton collisions and σ = 4.4 ps in Pb-Pb collisions. This paper details FIT’s design, performance, and the technical novelties made to meet the stringent environmental requirements of ALICE. arXiv The ALICE apparatus at CERN has undergone significant upgrade during the LHC's Long Shutdown 2 to increase the experiment's rate capability and measurement precision for Run 3 and Run 4. One of the key detectors newly introduced to the experiment is the Fast Interaction Trigger (FIT). Featuring minimal dead time, FIT provides a comprehensive trigger menu, including the minimum bias trigger with an efficiency exceeding 90 percent in proton-proton collisions. It also provides centrality, event plane, and background measurement capabilities. Precision of the collision time measurements performed by FIT reached remarkable values of 17 ps (sigma) in proton-proton collisions and 4.4 ps (sigma) in Pb-Pb collisions. This paper details FIT's design, performance, and the technical novelties made to meet the stringent environmental requirements of ALICE. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ hep-ex arXiv Particle Physics - Experiment SzGeCERN physics.ins-det arXiv Detectors and Experimental Techniques SzGeCERN CERN ARTICLE CERN LHC ALICE ALICE Collaboration C24-07-17 2700376 987464 http://cds.cern.ch/record/2913732/files/2410.10617.pdf Fulltext 2704782 1048460 http://cds.cern.ch/record/2913732/files/document.pdf Fulltext 13 2900723 prague20240718 ConferencePaper ARTICLE 2912520 20241007231955.0 oai:cds.cern.ch:2912520 cerncds:FULLTEXT ATL-ITK-SLIDE-2024-444 eng ATL-COM-ITK-2024-098 The ATLAS collaboration ITk Pixel System Test for the ATLAS Experiment 2024 Khwaira, Yahya A. R. AUTHOR|(CDS)2715253 AUTHOR|(SzGeCERN)847180 Centre National de la Recherche Scientifique (FR) Y.Khwaira@cern.ch CERN Geneva 06 Oct 2024 1 p The ATLAS experiment at CERN's Large Hadron Collider is one of the experiments in high-energy physics. The High Luminosity Phase of the LHC is expected to start in 2029 and last for 10 years. It will provide ten times more data to increase the discovery potential of the LHC. The expected luminosity of up to 7.5 x 1034 cm-2s-1 will be a factor 7.5 higher than that of the nominal LHC one, corresponding to ~200 additional proton-proton pile-up interactions per bunch crossing. The radiation is expected to reach unprecedented values, with non-ionizing fluence of 1e16 neq/cm2 and ionizing dose of 5 MGy. To cope with the resulting increase in occupancy, bandwidth, and radiation damage, the current ATLAS Inner Detector will be replaced by an all-silicon Inner Tracker (ITk), composed by a strip and a pixel system. The new pixel detector will cover a sensitive area of 13m2 by about 9000 modules, made of planar and 3D silicon sensors bump bonded to readout with new Front-End ASIC, developed by the RD53 Collaboration and it features improved tracking performance, radiation hardness compared to the current detector and serial powering in order to save material in the servicing cables. Thin n-in-p planar sensor technology is used. The thickness of the sensor is 100 um or 150 um and pixel size 25x100 um^2 or 55 x 50 um^2 depending on the layer. 3D sensors will be used for the innermost layer and thin planar sensors elsewhere. The pixel modules are loaded with the backside of the Front-End chips in contact with light-weight, thermally conductive carbon-fiber based structures in the form of (half) rings or staves. The data from the modules will be driven from the front-end chip to the opto-electrical conversion system with high-speed transmission parallel lines running at 1.28 Gb/s per data link. Data sharing is foreseen for some of the layers. Tracking performance will be improved due to the reduced amount of material, thanks to light carbon fiber structures, CO2-based cooling with thin Ti tubes walls, data link sharing and a novel serial powering scheme. The ITk pixel detector will operate at around -35 C and is designed also to sustain the expected large number of temperature cycles during its lifetime. Extensive system-level tests of these structures were carried out evaluating serial powering, grounding and shielding, system monitoring, and the overall performance of the multi-module detector systems. Development of the system test encompasses specific challenges associated with Data Acquisition electronics with optical readout, a scalable Detector Control System and Interlock System. These two latter systems include signals from multiple silicon pixel-modules, environmental sensors, cooling plants and power supplies. The integration of many different electronics components makes the results very interesting for the audience. SLIDE CERN CDS-Invenio WebSubmit Particle Physics - Experiment SzGeCERN ITK SzGeCERN CERN ATLAS ITk upgrade CERN Pixel System Test CERN RD53A Demonstrator CERN INTNOTE PRIVATLAS PUBLATLASSLIDE CERN LHC ATLAS PH-EP ATLAS Collaboration http://cds.cern.ch/record/2910906 Original Communication (restricted to ATLAS) 2562308 1757751 http://cds.cern.ch/record/2912520/files/ATL-ITK-SLIDE-2024-444.pdf y.khwaira@cern.ch marianna.testa@lnf.infn.it benedikt.vormwald@cern.ch n 202470 91 PUBLIC 000784557CER PUBLATLASSLIDE Slides 2918036 20251201181805.0 oai:cds.cern.ch:2918036 cerncds:TALK eng Indico 75 CERN. Geneva Is dark energy weakening? CERN - 503/1-001 - Council Chamber 2024-11-21T16:30:00 2024-11-21T18:00:00 1459972 Is dark energy weakening? 2024 2024-11-21 4790 Streaming video CERN Colloquium 2024-11-21T16:30:00 <!--HTML--><p>Making up 70% of the universe and responsible for its accelerated expansion, Dark energy is the biggest mystery in cosmology. A simple model where dark energy is described as a cosmological constant explains most of the observations of the past 20 years. However, recent results are challenging this model.  The Dark Energy Spectroscopic Instrument (DESI) is building the largest 3D map of our universe to measure its expansion history over the past 11 billion years, and thereby, study dark energy. The DESI first-year results find tantalizing hints of time-varying dark energy that, if confirmed, would revolutionize the standard model of cosmology. After a brief introduction of the observations that led to our current understanding of cosmology, I will present DESI, explain how it addresses the question of the nature of dark energy, and describe the recent results and their implication.</p> <p><em>Nathalie Palanque-Delabrouille, a cosmologist and research director at the Institute for Research on the Fundamental Laws of the Universe at the </em><em><a href="https://www.cea.fr/paris-saclay">CEA Paris-Saclay research center</a></em><em>, has been selected to serve as the next division director of Lawrence Berkeley National Laboratory’s (Berkeley Lab) Physics Division.  Her research focuses on the study of dark matter and dark energy, and she has played instrumental roles in several international collaborations throughout her career. She received her Ph.D. jointly from the University of Chicago and University of Paris-Diderot in 1997, contributing to the EROS search for dark matter objects using microlensing. She has also conducted research on the Astronomy with a Neutrino Telescope and Abyss environmental Research (ANTARES) undersea neutrino experiment, the SuperNova Legacy Survey (SNLS), and the Baryon Oscillation Spectroscopic Survey (BOSS), where she co-led the target selection group and carried out an analysis on the Lyman-alpha forest, which put constraints on the sum of the neutrino masses. While working on BOSS in 2013 and 2014, she spent a year as a visiting researcher at Berkeley Lab. She is currently a member of the Dark Energy Spectroscopic Instrument (DESI) collaboration and has served as the DESI co-spokesperson since 2018.</em></p> <p>Coffee and tea served at 16:00pm</p> CERN 2024 CERN Colloquium Event TALK CERN Palanque-Delabrouille, Nathalie speaker LBNL, US https://indico.cern.ch/event/1459972/ Event details MediaArchive /mnt/master_share/master_data/2024/1459972 Absolute master path MediaArchive https://lecturemedia.cern.ch/2024/1459972/1459972-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 287772 MediaArchive https://lecturemedia.cern.ch/2024/1459972/1459972-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 714311 MediaArchive https://lecturemedia.cern.ch/2024/1459972/1459972-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1248061 MediaArchive https://lecturemedia.cern.ch/2024/1459972/1459972-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 127782 MediaArchive https://lecturemedia.cern.ch/2024/1459972/1459972-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 308535 MediaArchive https://lecturemedia.cern.ch/2024/1459972/1459972-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1199934 MediaArchive https://lecturemedia.cern.ch/2024/1459972/1459972-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 80286 MediaArchive https://lecturemedia.cern.ch/2024/1459972/1459972-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 4000300 caroline.cazenoves@cern.ch Palanque-Delabrouille, Nathalie LBNL, US 2024-09-23T12:50:21 2024-11-26T11:53:20 PUBLIC INDICO.1459972 https://videos.cern.ch/legacy/record/2918036 Indico Colloquia MIGRATED 2917787 20250128161043.0 oai:cds.cern.ch:2917787 cerncds:FULLTEXT CERN-PHOTO-202411-284 Cavazza, Marina marina.cavazza@cern.ch CERN The Occupational Health and Safety and Environmental Protection Unit 2024 Geneva CERN 2024-11-22 General Photo public The Occupational Health & Safety and Environmental Protection (HSE) Unit is the driving force behind CERN's Safety Policy. CERN 2024 CERN EDS PHOTOLAB SzGeCERN Personalities and Portraits SzGeCERN Photolab CERN PHOTO 2691724 46529125 http://cds.cern.ch/record/2917787/files/202411-284_05.jpg 2691725 51729199 http://cds.cern.ch/record/2917787/files/202411-284_07.jpg 2691726 47198497 http://cds.cern.ch/record/2917787/files/202411-284_08.jpg 2691724 100553 http://cds.cern.ch/record/2917787/files/202411-284_05.jpg?subformat=icon-180 icon-180 2691724 1465137 http://cds.cern.ch/record/2917787/files/202411-284_05.jpg?subformat=icon-1440 icon-1440 2691724 382077 http://cds.cern.ch/record/2917787/files/202411-284_05.jpg?subformat=icon-640 icon-640 2691725 100173 http://cds.cern.ch/record/2917787/files/202411-284_07.jpg?subformat=icon-180 icon-180 2691725 1487788 http://cds.cern.ch/record/2917787/files/202411-284_07.jpg?subformat=icon-1440 icon-1440 2691725 385474 http://cds.cern.ch/record/2917787/files/202411-284_07.jpg?subformat=icon-640 icon-640 2691726 100954 http://cds.cern.ch/record/2917787/files/202411-284_08.jpg?subformat=icon-180 icon-180 2691726 1488934 http://cds.cern.ch/record/2917787/files/202411-284_08.jpg?subformat=icon-1440 icon-1440 2691726 387219 http://cds.cern.ch/record/2917787/files/202411-284_08.jpg?subformat=icon-640 icon-640 marina.cavazza@cern.ch anna.cook@cern.ch n 202447 La Piazza, Science Gateway CERN Anna Cook <anna.cook@cern.ch> 86 PUBLIC VISIBLE PHOTOLABCERN 2916973 20241113223103.0 oai:cds.cern.ch:2916973 cerncds:FULLTEXT AIDAinnova-CONF-2024-006 eng Pedano Medina, Camila Rocio KIT - Karlsruhe Institute of Technology (DE) camila.pedano@cern.ch Towards defining the optimal design parameters for a test setup studying heat transfer with carbon dioxide at supercritical conditions 2024 CERN Geneva 2024-10-11 As the demand for environmentally friendly refrigeration technologies continues to grow, the use of natural refrigerants for the thermal management of detectors for high-energy physics becomes increasingly relevant. While the use of boiling CO2 flows is well established at CERN for applications requiring cold conditions, this study focuses on investigating the heat transfer capabilities of carbon dioxide in supercritical conditions. In this regard, high thermal capacities and low values of density and viscosity are some of the main characteristics of fluids above their critical point. Furthermore, thanks to their inherent single-phase-like nature, supercritical fluids could allow for relatively simple fluid management in multibranched circuits. These features, combined with its critical temperature of 31°C, make supercritical carbon dioxide (sCO2) an exceptionally well-suited candidate for thermal management applications where the electronics can be operated at temperatures above 32°C. However, several points on this subject remain open in the available literature, highlighting the need for additional accurate experimental observations. This work centers around the development and use of a dedicated test rig designed to explore the thermodynamic performance and efficiency of sCO2-based systems. CERN Invenio WebSubmit GENSBM 1 carbon dioxide CERN refrigeration CERN supercritical CERN heat transfer CERN pressure drop CERN CERN WP10: Advanced Mechanics for Tracking and Vertex Detectors AIDAinnova Petagna, Paolo CERN Paolo.Petagna@cern.ch Mall-Gleissle, Susanne Offenburg University of Applied Sciences 2680625 920805 http://cds.cern.ch/record/2916973/files/GL2024-PedanoMedina-CERN.pdf 2680625 78923 http://cds.cern.ch/record/2916973/files/GL2024-PedanoMedina-CERN.gif?subformat=icon icon 2680625 80883 http://cds.cern.ch/record/2916973/files/GL2024-PedanoMedina-CERN.jpg?subformat=icon-180 icon-180 camila.pedano@cern.ch n 202446 CONFERENCEPAPER 2916972 20241113223103.0 oai:cds.cern.ch:2916972 cerncds:FULLTEXT AIDAinnova-CONF-2024-005 eng Contiero, Luca Norwegian University of Science and Technology (NTNU) (NO) luca.contiero@cern.ch Cold Krypton system for the Phase III Upgrade of the LHC 2023 CERN Geneva 2023-06-02 During the Phase III Upgrade the Large Hadron Collider (LHC) will experience radiation levels extent never achieved before. The current detector cooling system operating with CO2 and the associated mechanical supports must be upgraded as the current cooling temperature is not sufficient to prevent the phenomena of the thermal runaway of the sensors. Indeed, over the years the CO2 cooling system (2PACL) has been pushed until to its limit, represented by the refrigerant triple point (≈ -55 °C). The new temperature levels required are in the range of -60 down to -80°C. This, together with the CERN environmental policy, has further restricted the list of potential coolants for the future detector upgrade. Among them, the noble gas Krypton stands out as promising and efficient coolant. As side-effect of its thermophysical properties, the cooling starting from ambient conditions is completely different than what occurs with CO2 thus requiring a completely new cycle starting from the gas phase down to the cold region (two-phase area). A new cooling concept has been developed based on an ejector-supported cycle which differs from a traditional ejector cooling system due to the requirements in the evaporator section such as passive expansion and flooded evaporation, as well as the supercritical phase involved during the startup. In order to emulate the Krypton cooling concept in more attainable temperature levels typical for commercial refrigeration (≈ -30 °C), the noble gas Xenon is proposed thanks to its warmer critical temperature (≈ 17 °C). Numerical design of the evaporator loop, as well as dynamic modelling of the cycle startup and transcritical operation is here presented and discussed. The Xenon demonstrator is currently under construction for future testing. CERN Invenio WebSubmit GENSBM 1 CERN WP10: Advanced Mechanics for Tracking and Vertex Detectors AIDAinnova Banasiak, Krzysztof Norwegian University of Science and Technology (NTNU) (NO) Hafner, Armin Norwegian University of Science and Technology (NTNU) (NO) Verlaat, Bart CERN Bart.Verlaat@cern.ch Petagna, Paolo CERN Paolo.Petagna@cern.ch 2680624 2906993 http://cds.cern.ch/record/2916972/files/Forum Tracking Detector 2023.pdf 2680624 68182 http://cds.cern.ch/record/2916972/files/Forum Tracking Detector 2023.gif?subformat=icon icon 2680624 70717 http://cds.cern.ch/record/2916972/files/Forum Tracking Detector 2023.jpg?subformat=icon-180 icon-180 camila.pedano@cern.ch n 202446 CONFERENCEPAPER 2916953 20241113223103.0 oai:cds.cern.ch:2916953 cerncds:FULLTEXT AIDAinnova-CONF-2024-003 eng Contiero, Luca Norwegian University of Science and Technology (NTNU) (NO) luca.contiero@cern.ch Applying krypton as refrigerant for cooling of future particle detector trackers at CERN 2024 CERN Geneva 2024-08-12 Future silicon-based particle detectors at CERN’s Large Hadron Collider will be exposed to higher radiation levels, requiring the silicon sensors to be kept at lower temperatures than those provided by the current cooling systems using CO2. Aiming to achieve temperature levels unattainable by CO2 and ranging between -60 to -80°C while maintaining environmental friendliness, the use of Krypton appears promising for the thermal management of future high-energy physics detectors. Although studies on using noble gases for refrigeration purposes outside of deep cryogenic applications are extremely rare, the thermodynamic and transport properties of Krypton suggest great potential as a coolant in detector applications. Since silicon detectors are characterized by ultra-light and fragile structures requiring controlled cooldowns to avoid thermal shocks, a new cooling system was developed. This work presents the concept and strategies to be implemented to meet the harsh requirements imposed by detector cooling. Comments submitted after 13-11-2024 11:47 CERN Invenio WebSubmit GENSBM 1 carbon dioxide CERN krypton CERN ejector CERN detectors CERN supercritical CERN CERN WP10: Advanced Mechanics for Tracking and Vertex Detectors AIDAinnova Verlaat, Bart CERN Bart.Verlaat@cern.ch Hafner, Armin Norwegian University of Science and Technology (NTNU) (NO) Banasiak, Krzysztof Norwegian University of Science and Technology (NTNU) (NO) Allouche, Yosr Norwegian University of Science and Technology (NTNU) (NO) Petagna, Paolo CERN Paolo.Petagna@cern.ch https://ceee.umd.edu/gl2024 Conference website 2680558 3033814 http://cds.cern.ch/record/2916953/files/GL2024-1235.pdf 2680558 79523 http://cds.cern.ch/record/2916953/files/GL2024-1235.gif?subformat=icon icon 2680558 81655 http://cds.cern.ch/record/2916953/files/GL2024-1235.jpg?subformat=icon-180 icon-180 camila.pedano@cern.ch n 202446 CONFERENCEPAPER 2916951 20241113223103.0 oai:cds.cern.ch:2916951 cerncds:FULLTEXT AIDAinnova-CONF-2024-002 eng Contiero, Luca Norwegian University of Science and Technology (NTNU) (NO) luca.contiero@cern.ch An advance Krypton – CO2 cascade refrigeration unit for the Phase III Upgrade of the VELO detector at CERN 2023 CERN Geneva 2023-04-27 The Vertex Locator (VELO) of the LHCb (Large Hadron Collider) experiment will soon undergo the Phase III upgrade to fully read out events in a higher irradiated environment. An unprecedented amount of radiation will lead to temperature levels unmanageable by the current CO2 cooling system (2PACL) developed at CERN-Nikhef. Therefore, a new environmentally friendly cooling medium and working cycle must be designed to meet the new requirements, with temperature levels expected in the range of -60 to -80°C. The noble gas Krypton is the most promising coolant for the future upgrade of the Large Hadron Collider. This work discusses a potential solution for heat rejection achievable by a cascade configuration system comprising a CO2 cooling unit with multi-evaporating temperature levels. Such a process must be reliable and stable, regardless of the amount of heat rejected, which will vary throughout the lifetime of the detectors. Comments submitted after 13-11-2024 11:45 CERN Invenio WebSubmit GENSBM 1 refrigeration CERN carbon dioxide CERN krypton CERN transcritical CERN supercritical CERN CERN WP10: Advanced Mechanics for Tracking and Vertex Detectors AIDAinnova Hafner, Armin Norwegian University of Science and Technology (NTNU) (NO) Verlaat, Bart CERN Bart.Verlaat@cern.ch Banasiak, Krzysztof Norwegian University of Science and Technology (NTNU) (NO) Allouche, Yosr Norwegian University of Science and Technology (NTNU) (NO) https://www.mf.ukim.edu.mk/web_ohrid2023/ohrid-2023.html Conference website 2680557 4579835 http://cds.cern.ch/record/2916951/files/Ohrid paper DOI 0023.pdf 2680557 77695 http://cds.cern.ch/record/2916951/files/Ohrid paper DOI 0023.gif?subformat=icon icon 2680557 80701 http://cds.cern.ch/record/2916951/files/Ohrid paper DOI 0023.jpg?subformat=icon-180 icon-180 camila.pedano@cern.ch n 202446 CONFERENCEPAPER 2916740 SzGeCERN 20250212121316.0 oai:cds.cern.ch:2916740 cerncds:FULLTEXT cerncds:CERN:FULLTEXT INIS cerncds:CERN Inspire 2863627 CMS-CR-2024-301 eng Stachon, Krzysztof INSPIRE-00694026 CCID-804259 Zurich, ETH Radiation and magnetic field qualification of LVPS - a unified 12V DC power source for the CMS detector. 2024 Geneva CERN 31 Oct 2024 8 p Efforts aiming at consolidating the powering for the CMS detector have led to the development of a Low Voltage Power Supply (LVPS). The LVPS converts 380 V DC to 12 V DC, suitable for powering the widely used bPOL12V point-of-load DC-DC converter. To limit cable size, the LVPS must be hosted in the CMS experimental cavern, being exposed to ionizing radiation and stray magnetic field of up to 120 mT. The device is made of Commercial Off-The-Shelf (COTS) components, therefore, thorough qualifications at various design stages were performed to ensure its reliable operation in the harsh environmental conditions for the HL-LHC era. CERN EDS For annual report SzGeCERN Detectors and Experimental Techniques CMS General INTNOTE CERN PUBLCMS CERN LHC CMS Dissertori, Gunther INSPIRE-00077275 CCID-387822 Zurich, ETH Gadek, Tomasz INSPIRE-00523377 CCID-760468 Zurich, ETH Zurich U. Lustermann, Werner INSPIRE-00103170 CCID-411047 Zurich, ETH PH CMS Collaboration C12016 JINST 20 2025 2653147 1091924 http://cds.cern.ch/record/2916740/files/CR2024_301.pdf n 202446 2909447 C12016 glasgow20240930 PUBLIC INTNOTECMSPUBL ConferencePaper PREPRINT ARTICLE 2916730 SzGeCERN 20241111220740.0 oai:cds.cern.ch:2916730 cerncds:FULLTEXT cerncds:CERN:FULLTEXT INIS cerncds:CERN CMS-CR-2023-236 eng Lustermann, Werner CCID-411047 INSPIRE-00103170 Zurich, ETH CMS ECAL VFE design, production and testing 2023 Geneva CERN 29 Oct 2023 8 p ABSTRACT: Maintaining the required performance of the CMS electromagnetic calorimeter (ECAL) barrel at the High-Luminosity Large Hadron Collider (HL-LHC) requires the replacement of the entire on-detector electronics. 12240 new very front end (VFE) cards will amplify and digitize the signals of 62100 lead-tungstate crystals instrumented with avalanche photodiodes. The VFE cards host five channels of CATIA pre-amplifier ASICs followed by LiTE-DTU ASICs, which digitize signals with 160MS/s and 12bit resolution. We present the strategy and infrastructure developed for achieving the required reliability of less than 0.5\% failing channels over the expected lifetime of 20 years. This includes the choice of standards, design for reliability and manufacturing, as well as factory acceptance tests, reception testing, environmental stress screening and calibration of the VFE cards. CERN EDS SzGeCERN Detectors and Experimental Techniques CMS General INTNOTE CERN PUBLCMS CERN LHC CMS Abadjiev, Daniel Svetlin CCID-861197 XX Northeastern U. Dissertori, Gunther CCID-387822 INSPIRE-00077275 Zurich, ETH Dejardin, Marc CCID-386373 INSPIRE-00076419 IRFU, Saclay Gadek, Tomasz CCID-760468 INSPIRE-00523377 Zurich, ETH Martin, Luke Thomas CCID-864576 XX Northeastern U. Stachon, Krzysztof CCID-804259 INSPIRE-00694026 Zurich, ETH PH CMS Collaboration 2653138 1229366 http://cds.cern.ch/record/2916730/files/CR2023_236.pdf n 202446 2869917 geremeas20231001 PUBLIC INTNOTECMSPUBL ConferencePaper PREPRINT 2916696 20241120151059.0 oai:cds.cern.ch:2916696 cerncds:FULLTEXT CERN-PHOTO-202411-271 AUTHOR|(CDS)2836746 Cavazza, Marina marina.cavazza@cern.ch Global challenges and the role of science: an evening with Al Gore 2024 Geneva CERN 2024-11-11 General Photo public Public Event "Global challenges and the role of science: an evening with Al Gore", at CERN Science Gateway. Presentation by the 45th Vice President of The USA and Nobel Prize Laureate Al Gore, followed by a panel discussion moderated by Olivier Dessibourg, on the role and responsibility of science in offering solutions to global challenges; with Fabiola Gianotti, CERN Director-General, Benoît Delille, Head of CERN’s Health & Safety and Environmental Protection Unit, Rebeca Grynspan, Secretary-General of UN Trade and Development (UNCTAD) and Joeri Rogelj, Professor of Climate & Science Policy, Imperial College London. CERN 2024 CERN EDS PHOTOLAB SzGeCERN Events SzGeCERN Photolab CERN Environment CERN Climate change CERN PHOTO 2653091 33956835 http://cds.cern.ch/record/2916696/files/202410-270_244.jpg 2653092 54816531 http://cds.cern.ch/record/2916696/files/202410-270_252.jpg 2653093 42267095 http://cds.cern.ch/record/2916696/files/202410-270_254.jpg 2653094 27814327 http://cds.cern.ch/record/2916696/files/202410-270_271.jpg 2653095 23161437 http://cds.cern.ch/record/2916696/files/202410-270_272.jpg 2653096 30286573 http://cds.cern.ch/record/2916696/files/202410-270_274.jpg 2653097 29283804 http://cds.cern.ch/record/2916696/files/202410-270_281.jpg 2653098 32564784 http://cds.cern.ch/record/2916696/files/202410-270_282.jpg 2653099 29750744 http://cds.cern.ch/record/2916696/files/202410-270_283.jpg 2653100 26536312 http://cds.cern.ch/record/2916696/files/202410-270_289.jpg 2653101 32976954 http://cds.cern.ch/record/2916696/files/202410-270_290.jpg 2653102 24679958 http://cds.cern.ch/record/2916696/files/202410-270_292.jpg 2653103 26552348 http://cds.cern.ch/record/2916696/files/202410-270_294.jpg 2653104 40388122 http://cds.cern.ch/record/2916696/files/202410-270_295.jpg 2653105 38925312 http://cds.cern.ch/record/2916696/files/202410-270_297.jpg 2653106 48742384 http://cds.cern.ch/record/2916696/files/202410-270_300.jpg 2653107 43670044 http://cds.cern.ch/record/2916696/files/202410-270_303.jpg 2653108 40079853 http://cds.cern.ch/record/2916696/files/202410-270_311.jpg 2653109 47356719 http://cds.cern.ch/record/2916696/files/202410-270_312.jpg 2653110 15210710 http://cds.cern.ch/record/2916696/files/202410-270_321.jpg 2653111 16199573 http://cds.cern.ch/record/2916696/files/202410-270_323.jpg 2653112 32307648 http://cds.cern.ch/record/2916696/files/202410-270_327.jpg 2653113 29107140 http://cds.cern.ch/record/2916696/files/202410-270_328.jpg 2653114 29978526 http://cds.cern.ch/record/2916696/files/202410-270_343.jpg 2653115 38036611 http://cds.cern.ch/record/2916696/files/202410-270_347.jpg 2653116 38450906 http://cds.cern.ch/record/2916696/files/202410-270_349.jpg 2653117 38708768 http://cds.cern.ch/record/2916696/files/202410-270_353.jpg 2653118 32156772 http://cds.cern.ch/record/2916696/files/202410-270_366.jpg 2653119 34345123 http://cds.cern.ch/record/2916696/files/202410-270_378.jpg 2653120 26485176 http://cds.cern.ch/record/2916696/files/202410-270_381.jpg 2653121 30266136 http://cds.cern.ch/record/2916696/files/202410-270_386.jpg 2653122 33521166 http://cds.cern.ch/record/2916696/files/202410-270_389.jpg 2653123 34312404 http://cds.cern.ch/record/2916696/files/202410-270_394.jpg 2653124 35160827 http://cds.cern.ch/record/2916696/files/202410-270_395.jpg 2653125 20505053 http://cds.cern.ch/record/2916696/files/202410-270_403.jpg 2653126 31288074 http://cds.cern.ch/record/2916696/files/202410-270_404.jpg 2653127 25401532 http://cds.cern.ch/record/2916696/files/202410-270_410.jpg 2653128 36757564 http://cds.cern.ch/record/2916696/files/202410-270_432.jpg 2653129 25549357 http://cds.cern.ch/record/2916696/files/202410-270_476.jpg 2653130 27847578 http://cds.cern.ch/record/2916696/files/202410-270_481.jpg 2653131 39747866 http://cds.cern.ch/record/2916696/files/202410-270_488.jpg 2653132 42980969 http://cds.cern.ch/record/2916696/files/202410-270_492.jpg 2653133 45414593 http://cds.cern.ch/record/2916696/files/202410-270_505.jpg 2653091 216484 http://cds.cern.ch/record/2916696/files/202410-270_244.jpg?subformat=icon-640 icon-640 2653091 735337 http://cds.cern.ch/record/2916696/files/202410-270_244.jpg?subformat=icon-1440 icon-1440 2653091 87280 http://cds.cern.ch/record/2916696/files/202410-270_244.jpg?subformat=icon-180 icon-180 2653092 245082 http://cds.cern.ch/record/2916696/files/202410-270_252.jpg?subformat=icon-640 icon-640 2653092 903885 http://cds.cern.ch/record/2916696/files/202410-270_252.jpg?subformat=icon-1440 icon-1440 2653092 90917 http://cds.cern.ch/record/2916696/files/202410-270_252.jpg?subformat=icon-180 icon-180 2653093 219970 http://cds.cern.ch/record/2916696/files/202410-270_254.jpg?subformat=icon-640 icon-640 2653093 735802 http://cds.cern.ch/record/2916696/files/202410-270_254.jpg?subformat=icon-1440 icon-1440 2653093 87661 http://cds.cern.ch/record/2916696/files/202410-270_254.jpg?subformat=icon-180 icon-180 2653094 187267 http://cds.cern.ch/record/2916696/files/202410-270_271.jpg?subformat=icon-640 icon-640 2653094 541443 http://cds.cern.ch/record/2916696/files/202410-270_271.jpg?subformat=icon-1440 icon-1440 2653094 86059 http://cds.cern.ch/record/2916696/files/202410-270_271.jpg?subformat=icon-180 icon-180 2653095 213858 http://cds.cern.ch/record/2916696/files/202410-270_272.jpg?subformat=icon-640 icon-640 2653095 605950 http://cds.cern.ch/record/2916696/files/202410-270_272.jpg?subformat=icon-1440 icon-1440 2653095 89662 http://cds.cern.ch/record/2916696/files/202410-270_272.jpg?subformat=icon-180 icon-180 2653096 191131 http://cds.cern.ch/record/2916696/files/202410-270_274.jpg?subformat=icon-640 icon-640 2653096 557865 http://cds.cern.ch/record/2916696/files/202410-270_274.jpg?subformat=icon-1440 icon-1440 2653096 86367 http://cds.cern.ch/record/2916696/files/202410-270_274.jpg?subformat=icon-180 icon-180 2653097 198498 http://cds.cern.ch/record/2916696/files/202410-270_281.jpg?subformat=icon-640 icon-640 2653097 566252 http://cds.cern.ch/record/2916696/files/202410-270_281.jpg?subformat=icon-1440 icon-1440 2653097 88498 http://cds.cern.ch/record/2916696/files/202410-270_281.jpg?subformat=icon-180 icon-180 2653098 252739 http://cds.cern.ch/record/2916696/files/202410-270_282.jpg?subformat=icon-640 icon-640 2653098 832041 http://cds.cern.ch/record/2916696/files/202410-270_282.jpg?subformat=icon-1440 icon-1440 2653098 91131 http://cds.cern.ch/record/2916696/files/202410-270_282.jpg?subformat=icon-180 icon-180 2653099 199456 http://cds.cern.ch/record/2916696/files/202410-270_283.jpg?subformat=icon-640 icon-640 2653099 579900 http://cds.cern.ch/record/2916696/files/202410-270_283.jpg?subformat=icon-1440 icon-1440 2653099 86351 http://cds.cern.ch/record/2916696/files/202410-270_283.jpg?subformat=icon-180 icon-180 2653100 184697 http://cds.cern.ch/record/2916696/files/202410-270_289.jpg?subformat=icon-640 icon-640 2653100 521199 http://cds.cern.ch/record/2916696/files/202410-270_289.jpg?subformat=icon-1440 icon-1440 2653100 85613 http://cds.cern.ch/record/2916696/files/202410-270_289.jpg?subformat=icon-180 icon-180 2653101 233851 http://cds.cern.ch/record/2916696/files/202410-270_290.jpg?subformat=icon-640 icon-640 2653101 739521 http://cds.cern.ch/record/2916696/files/202410-270_290.jpg?subformat=icon-1440 icon-1440 2653101 89664 http://cds.cern.ch/record/2916696/files/202410-270_290.jpg?subformat=icon-180 icon-180 2653102 184812 http://cds.cern.ch/record/2916696/files/202410-270_292.jpg?subformat=icon-640 icon-640 2653102 521278 http://cds.cern.ch/record/2916696/files/202410-270_292.jpg?subformat=icon-1440 icon-1440 2653102 86099 http://cds.cern.ch/record/2916696/files/202410-270_292.jpg?subformat=icon-180 icon-180 2653103 190460 http://cds.cern.ch/record/2916696/files/202410-270_294.jpg?subformat=icon-640 icon-640 2653103 552638 http://cds.cern.ch/record/2916696/files/202410-270_294.jpg?subformat=icon-1440 icon-1440 2653103 85574 http://cds.cern.ch/record/2916696/files/202410-270_294.jpg?subformat=icon-180 icon-180 2653104 270995 http://cds.cern.ch/record/2916696/files/202410-270_295.jpg?subformat=icon-640 icon-640 2653104 92529 http://cds.cern.ch/record/2916696/files/202410-270_295.jpg?subformat=icon-180 icon-180 2653104 932059 http://cds.cern.ch/record/2916696/files/202410-270_295.jpg?subformat=icon-1440 icon-1440 2653105 274364 http://cds.cern.ch/record/2916696/files/202410-270_297.jpg?subformat=icon-640 icon-640 2653105 905150 http://cds.cern.ch/record/2916696/files/202410-270_297.jpg?subformat=icon-1440 icon-1440 2653105 93985 http://cds.cern.ch/record/2916696/files/202410-270_297.jpg?subformat=icon-180 icon-180 2653106 1001727 http://cds.cern.ch/record/2916696/files/202410-270_300.jpg?subformat=icon-1440 icon-1440 2653106 278987 http://cds.cern.ch/record/2916696/files/202410-270_300.jpg?subformat=icon-640 icon-640 2653106 94301 http://cds.cern.ch/record/2916696/files/202410-270_300.jpg?subformat=icon-180 icon-180 2653107 235455 http://cds.cern.ch/record/2916696/files/202410-270_303.jpg?subformat=icon-640 icon-640 2653107 806111 http://cds.cern.ch/record/2916696/files/202410-270_303.jpg?subformat=icon-1440 icon-1440 2653107 89854 http://cds.cern.ch/record/2916696/files/202410-270_303.jpg?subformat=icon-180 icon-180 2653108 262178 http://cds.cern.ch/record/2916696/files/202410-270_311.jpg?subformat=icon-640 icon-640 2653108 885020 http://cds.cern.ch/record/2916696/files/202410-270_311.jpg?subformat=icon-1440 icon-1440 2653108 93242 http://cds.cern.ch/record/2916696/files/202410-270_311.jpg?subformat=icon-180 icon-180 2653109 267325 http://cds.cern.ch/record/2916696/files/202410-270_312.jpg?subformat=icon-640 icon-640 2653109 94230 http://cds.cern.ch/record/2916696/files/202410-270_312.jpg?subformat=icon-180 icon-180 2653109 947661 http://cds.cern.ch/record/2916696/files/202410-270_312.jpg?subformat=icon-1440 icon-1440 2653110 224623 http://cds.cern.ch/record/2916696/files/202410-270_321.jpg?subformat=icon-640 icon-640 2653110 705825 http://cds.cern.ch/record/2916696/files/202410-270_321.jpg?subformat=icon-1440 icon-1440 2653110 92900 http://cds.cern.ch/record/2916696/files/202410-270_321.jpg?subformat=icon-180 icon-180 2653111 230884 http://cds.cern.ch/record/2916696/files/202410-270_323.jpg?subformat=icon-640 icon-640 2653111 743275 http://cds.cern.ch/record/2916696/files/202410-270_323.jpg?subformat=icon-1440 icon-1440 2653111 93350 http://cds.cern.ch/record/2916696/files/202410-270_323.jpg?subformat=icon-180 icon-180 2653112 248025 http://cds.cern.ch/record/2916696/files/202410-270_327.jpg?subformat=icon-640 icon-640 2653112 830017 http://cds.cern.ch/record/2916696/files/202410-270_327.jpg?subformat=icon-1440 icon-1440 2653112 92657 http://cds.cern.ch/record/2916696/files/202410-270_327.jpg?subformat=icon-180 icon-180 2653113 103245 http://cds.cern.ch/record/2916696/files/202410-270_328.jpg?subformat=icon-180 icon-180 2653113 1243862 http://cds.cern.ch/record/2916696/files/202410-270_328.jpg?subformat=icon-1440 icon-1440 2653113 332297 http://cds.cern.ch/record/2916696/files/202410-270_328.jpg?subformat=icon-640 icon-640 2653114 234650 http://cds.cern.ch/record/2916696/files/202410-270_343.jpg?subformat=icon-640 icon-640 2653114 780580 http://cds.cern.ch/record/2916696/files/202410-270_343.jpg?subformat=icon-1440 icon-1440 2653114 91495 http://cds.cern.ch/record/2916696/files/202410-270_343.jpg?subformat=icon-180 icon-180 2653115 219458 http://cds.cern.ch/record/2916696/files/202410-270_347.jpg?subformat=icon-640 icon-640 2653115 718015 http://cds.cern.ch/record/2916696/files/202410-270_347.jpg?subformat=icon-1440 icon-1440 2653115 89463 http://cds.cern.ch/record/2916696/files/202410-270_347.jpg?subformat=icon-180 icon-180 2653116 230663 http://cds.cern.ch/record/2916696/files/202410-270_349.jpg?subformat=icon-640 icon-640 2653116 739275 http://cds.cern.ch/record/2916696/files/202410-270_349.jpg?subformat=icon-1440 icon-1440 2653116 90503 http://cds.cern.ch/record/2916696/files/202410-270_349.jpg?subformat=icon-180 icon-180 2653117 231639 http://cds.cern.ch/record/2916696/files/202410-270_353.jpg?subformat=icon-640 icon-640 2653117 741759 http://cds.cern.ch/record/2916696/files/202410-270_353.jpg?subformat=icon-1440 icon-1440 2653117 90500 http://cds.cern.ch/record/2916696/files/202410-270_353.jpg?subformat=icon-180 icon-180 2653118 232033 http://cds.cern.ch/record/2916696/files/202410-270_366.jpg?subformat=icon-640 icon-640 2653118 745353 http://cds.cern.ch/record/2916696/files/202410-270_366.jpg?subformat=icon-1440 icon-1440 2653118 89334 http://cds.cern.ch/record/2916696/files/202410-270_366.jpg?subformat=icon-180 icon-180 2653119 236300 http://cds.cern.ch/record/2916696/files/202410-270_378.jpg?subformat=icon-640 icon-640 2653119 753349 http://cds.cern.ch/record/2916696/files/202410-270_378.jpg?subformat=icon-1440 icon-1440 2653119 91909 http://cds.cern.ch/record/2916696/files/202410-270_378.jpg?subformat=icon-180 icon-180 2653120 224037 http://cds.cern.ch/record/2916696/files/202410-270_381.jpg?subformat=icon-640 icon-640 2653120 669171 http://cds.cern.ch/record/2916696/files/202410-270_381.jpg?subformat=icon-1440 icon-1440 2653120 91514 http://cds.cern.ch/record/2916696/files/202410-270_381.jpg?subformat=icon-180 icon-180 2653121 212251 http://cds.cern.ch/record/2916696/files/202410-270_386.jpg?subformat=icon-640 icon-640 2653121 633760 http://cds.cern.ch/record/2916696/files/202410-270_386.jpg?subformat=icon-1440 icon-1440 2653121 89262 http://cds.cern.ch/record/2916696/files/202410-270_386.jpg?subformat=icon-180 icon-180 2653122 241484 http://cds.cern.ch/record/2916696/files/202410-270_389.jpg?subformat=icon-640 icon-640 2653122 743742 http://cds.cern.ch/record/2916696/files/202410-270_389.jpg?subformat=icon-1440 icon-1440 2653122 92553 http://cds.cern.ch/record/2916696/files/202410-270_389.jpg?subformat=icon-180 icon-180 2653123 233142 http://cds.cern.ch/record/2916696/files/202410-270_394.jpg?subformat=icon-640 icon-640 2653123 715512 http://cds.cern.ch/record/2916696/files/202410-270_394.jpg?subformat=icon-1440 icon-1440 2653123 91403 http://cds.cern.ch/record/2916696/files/202410-270_394.jpg?subformat=icon-180 icon-180 2653124 108071 http://cds.cern.ch/record/2916696/files/202410-270_395.jpg?subformat=icon-180 icon-180 2653124 1446427 http://cds.cern.ch/record/2916696/files/202410-270_395.jpg?subformat=icon-1440 icon-1440 2653124 385824 http://cds.cern.ch/record/2916696/files/202410-270_395.jpg?subformat=icon-640 icon-640 2653125 186429 http://cds.cern.ch/record/2916696/files/202410-270_403.jpg?subformat=icon-640 icon-640 2653125 550563 http://cds.cern.ch/record/2916696/files/202410-270_403.jpg?subformat=icon-1440 icon-1440 2653125 85169 http://cds.cern.ch/record/2916696/files/202410-270_403.jpg?subformat=icon-180 icon-180 2653126 105830 http://cds.cern.ch/record/2916696/files/202410-270_404.jpg?subformat=icon-180 icon-180 2653126 1232789 http://cds.cern.ch/record/2916696/files/202410-270_404.jpg?subformat=icon-1440 icon-1440 2653126 348837 http://cds.cern.ch/record/2916696/files/202410-270_404.jpg?subformat=icon-640 icon-640 2653127 106562 http://cds.cern.ch/record/2916696/files/202410-270_410.jpg?subformat=icon-180 icon-180 2653127 1297671 http://cds.cern.ch/record/2916696/files/202410-270_410.jpg?subformat=icon-1440 icon-1440 2653127 359769 http://cds.cern.ch/record/2916696/files/202410-270_410.jpg?subformat=icon-640 icon-640 2653128 219247 http://cds.cern.ch/record/2916696/files/202410-270_432.jpg?subformat=icon-640 icon-640 2653128 702212 http://cds.cern.ch/record/2916696/files/202410-270_432.jpg?subformat=icon-1440 icon-1440 2653128 88077 http://cds.cern.ch/record/2916696/files/202410-270_432.jpg?subformat=icon-180 icon-180 2653129 213360 http://cds.cern.ch/record/2916696/files/202410-270_476.jpg?subformat=icon-640 icon-640 2653129 641871 http://cds.cern.ch/record/2916696/files/202410-270_476.jpg?subformat=icon-1440 icon-1440 2653129 89887 http://cds.cern.ch/record/2916696/files/202410-270_476.jpg?subformat=icon-180 icon-180 2653130 165786 http://cds.cern.ch/record/2916696/files/202410-270_481.jpg?subformat=icon-640 icon-640 2653130 471424 http://cds.cern.ch/record/2916696/files/202410-270_481.jpg?subformat=icon-1440 icon-1440 2653130 82470 http://cds.cern.ch/record/2916696/files/202410-270_481.jpg?subformat=icon-180 icon-180 2653131 196529 http://cds.cern.ch/record/2916696/files/202410-270_488.jpg?subformat=icon-640 icon-640 2653131 681586 http://cds.cern.ch/record/2916696/files/202410-270_488.jpg?subformat=icon-1440 icon-1440 2653131 85117 http://cds.cern.ch/record/2916696/files/202410-270_488.jpg?subformat=icon-180 icon-180 2653132 258601 http://cds.cern.ch/record/2916696/files/202410-270_492.jpg?subformat=icon-640 icon-640 2653132 908961 http://cds.cern.ch/record/2916696/files/202410-270_492.jpg?subformat=icon-1440 icon-1440 2653132 94761 http://cds.cern.ch/record/2916696/files/202410-270_492.jpg?subformat=icon-180 icon-180 2653133 275024 http://cds.cern.ch/record/2916696/files/202410-270_505.jpg?subformat=icon-640 icon-640 2653133 921401 http://cds.cern.ch/record/2916696/files/202410-270_505.jpg?subformat=icon-1440 icon-1440 2653133 97544 http://cds.cern.ch/record/2916696/files/202410-270_505.jpg?subformat=icon-180 icon-180 2680002 47223456 http://cds.cern.ch/record/2916696/files/202410-270_507.jpg 2680004 43181405 http://cds.cern.ch/record/2916696/files/202410-270_509.jpg 2680005 47619436 http://cds.cern.ch/record/2916696/files/202410-270_516.jpg 2680006 24758891 http://cds.cern.ch/record/2916696/files/202410-270_549.jpg 2680007 25635274 http://cds.cern.ch/record/2916696/files/202410-270_552.jpg 2680008 43952757 http://cds.cern.ch/record/2916696/files/202410-270_562.jpg 2680009 48681985 http://cds.cern.ch/record/2916696/files/202410-270_566.jpg 2680010 42085903 http://cds.cern.ch/record/2916696/files/202410-270_574.jpg 2680011 41853287 http://cds.cern.ch/record/2916696/files/202410-270_583.jpg 2680012 39293502 http://cds.cern.ch/record/2916696/files/202410-270_591.jpg 2680013 33415629 http://cds.cern.ch/record/2916696/files/202410-270_596.jpg 2680014 27321917 http://cds.cern.ch/record/2916696/files/202410-270_598.jpg 2680015 27351326 http://cds.cern.ch/record/2916696/files/202410-270_600.jpg 2680016 35899238 http://cds.cern.ch/record/2916696/files/202410-270_608.jpg 2680017 45713282 http://cds.cern.ch/record/2916696/files/202410-270_609.jpg 2680018 45276895 http://cds.cern.ch/record/2916696/files/202410-270_613.jpg 2680019 27916486 http://cds.cern.ch/record/2916696/files/202410-270_621.jpg 2680020 45869130 http://cds.cern.ch/record/2916696/files/202410-270_629.jpg 2680021 42985422 http://cds.cern.ch/record/2916696/files/202410-270_637.jpg 2680022 46697392 http://cds.cern.ch/record/2916696/files/202410-270_641.jpg 2680023 36779163 http://cds.cern.ch/record/2916696/files/202410-270_646.jpg 2680024 39441154 http://cds.cern.ch/record/2916696/files/202410-270_651.jpg 2680025 35416765 http://cds.cern.ch/record/2916696/files/202410-270_666.jpg 2680026 36803160 http://cds.cern.ch/record/2916696/files/202410-270_671.jpg 2680027 37355277 http://cds.cern.ch/record/2916696/files/202410-270_675.jpg 2680028 40835517 http://cds.cern.ch/record/2916696/files/202410-270_678.jpg 2680029 41218031 http://cds.cern.ch/record/2916696/files/202410-270_688.jpg 2680030 33678370 http://cds.cern.ch/record/2916696/files/202410-270_703.jpg 2680031 37720714 http://cds.cern.ch/record/2916696/files/202410-270_707.jpg 2680032 38167548 http://cds.cern.ch/record/2916696/files/202410-270_720.jpg 2680033 38459237 http://cds.cern.ch/record/2916696/files/202410-270_723.jpg 2680034 34891398 http://cds.cern.ch/record/2916696/files/202410-270_727.jpg 2680035 32037393 http://cds.cern.ch/record/2916696/files/202410-270_731.jpg 2680036 30759117 http://cds.cern.ch/record/2916696/files/202410-270_743.jpg 2680002 266822 http://cds.cern.ch/record/2916696/files/202410-270_507.jpg?subformat=icon-640 icon-640 2680002 91386 http://cds.cern.ch/record/2916696/files/202410-270_507.jpg?subformat=icon-180 icon-180 2680002 982850 http://cds.cern.ch/record/2916696/files/202410-270_507.jpg?subformat=icon-1440 icon-1440 2680004 1201504 http://cds.cern.ch/record/2916696/files/202410-270_509.jpg?subformat=icon-1440 icon-1440 2680004 331756 http://cds.cern.ch/record/2916696/files/202410-270_509.jpg?subformat=icon-640 icon-640 2680004 98519 http://cds.cern.ch/record/2916696/files/202410-270_509.jpg?subformat=icon-180 icon-180 2680005 185641 http://cds.cern.ch/record/2916696/files/202410-270_516.jpg?subformat=icon-640 icon-640 2680005 675556 http://cds.cern.ch/record/2916696/files/202410-270_516.jpg?subformat=icon-1440 icon-1440 2680005 83678 http://cds.cern.ch/record/2916696/files/202410-270_516.jpg?subformat=icon-180 icon-180 2680006 139907 http://cds.cern.ch/record/2916696/files/202410-270_549.jpg?subformat=icon-640 icon-640 2680006 391046 http://cds.cern.ch/record/2916696/files/202410-270_549.jpg?subformat=icon-1440 icon-1440 2680006 78311 http://cds.cern.ch/record/2916696/files/202410-270_549.jpg?subformat=icon-180 icon-180 2680007 137734 http://cds.cern.ch/record/2916696/files/202410-270_552.jpg?subformat=icon-640 icon-640 2680007 386689 http://cds.cern.ch/record/2916696/files/202410-270_552.jpg?subformat=icon-1440 icon-1440 2680007 77567 http://cds.cern.ch/record/2916696/files/202410-270_552.jpg?subformat=icon-180 icon-180 2680008 267448 http://cds.cern.ch/record/2916696/files/202410-270_562.jpg?subformat=icon-640 icon-640 2680008 894760 http://cds.cern.ch/record/2916696/files/202410-270_562.jpg?subformat=icon-1440 icon-1440 2680008 96174 http://cds.cern.ch/record/2916696/files/202410-270_562.jpg?subformat=icon-180 icon-180 2680009 265423 http://cds.cern.ch/record/2916696/files/202410-270_566.jpg?subformat=icon-640 icon-640 2680009 881593 http://cds.cern.ch/record/2916696/files/202410-270_566.jpg?subformat=icon-1440 icon-1440 2680009 95269 http://cds.cern.ch/record/2916696/files/202410-270_566.jpg?subformat=icon-180 icon-180 2680010 219019 http://cds.cern.ch/record/2916696/files/202410-270_574.jpg?subformat=icon-640 icon-640 2680010 747144 http://cds.cern.ch/record/2916696/files/202410-270_574.jpg?subformat=icon-1440 icon-1440 2680010 90374 http://cds.cern.ch/record/2916696/files/202410-270_574.jpg?subformat=icon-180 icon-180 2680011 222760 http://cds.cern.ch/record/2916696/files/202410-270_583.jpg?subformat=icon-640 icon-640 2680011 756706 http://cds.cern.ch/record/2916696/files/202410-270_583.jpg?subformat=icon-1440 icon-1440 2680011 91082 http://cds.cern.ch/record/2916696/files/202410-270_583.jpg?subformat=icon-180 icon-180 2680012 207161 http://cds.cern.ch/record/2916696/files/202410-270_591.jpg?subformat=icon-640 icon-640 2680012 675360 http://cds.cern.ch/record/2916696/files/202410-270_591.jpg?subformat=icon-1440 icon-1440 2680012 89279 http://cds.cern.ch/record/2916696/files/202410-270_591.jpg?subformat=icon-180 icon-180 2680013 216497 http://cds.cern.ch/record/2916696/files/202410-270_596.jpg?subformat=icon-640 icon-640 2680013 691573 http://cds.cern.ch/record/2916696/files/202410-270_596.jpg?subformat=icon-1440 icon-1440 2680013 88297 http://cds.cern.ch/record/2916696/files/202410-270_596.jpg?subformat=icon-180 icon-180 2680014 195880 http://cds.cern.ch/record/2916696/files/202410-270_598.jpg?subformat=icon-640 icon-640 2680014 542933 http://cds.cern.ch/record/2916696/files/202410-270_598.jpg?subformat=icon-1440 icon-1440 2680014 90087 http://cds.cern.ch/record/2916696/files/202410-270_598.jpg?subformat=icon-180 icon-180 2680015 194782 http://cds.cern.ch/record/2916696/files/202410-270_600.jpg?subformat=icon-640 icon-640 2680015 535470 http://cds.cern.ch/record/2916696/files/202410-270_600.jpg?subformat=icon-1440 icon-1440 2680015 89369 http://cds.cern.ch/record/2916696/files/202410-270_600.jpg?subformat=icon-180 icon-180 2680016 210552 http://cds.cern.ch/record/2916696/files/202410-270_608.jpg?subformat=icon-640 icon-640 2680016 639623 http://cds.cern.ch/record/2916696/files/202410-270_608.jpg?subformat=icon-1440 icon-1440 2680016 89663 http://cds.cern.ch/record/2916696/files/202410-270_608.jpg?subformat=icon-180 icon-180 2680017 192891 http://cds.cern.ch/record/2916696/files/202410-270_609.jpg?subformat=icon-640 icon-640 2680017 641381 http://cds.cern.ch/record/2916696/files/202410-270_609.jpg?subformat=icon-1440 icon-1440 2680017 86169 http://cds.cern.ch/record/2916696/files/202410-270_609.jpg?subformat=icon-180 icon-180 2680018 200783 http://cds.cern.ch/record/2916696/files/202410-270_613.jpg?subformat=icon-640 icon-640 2680018 680338 http://cds.cern.ch/record/2916696/files/202410-270_613.jpg?subformat=icon-1440 icon-1440 2680018 87224 http://cds.cern.ch/record/2916696/files/202410-270_613.jpg?subformat=icon-180 icon-180 2680019 169143 http://cds.cern.ch/record/2916696/files/202410-270_621.jpg?subformat=icon-640 icon-640 2680019 506899 http://cds.cern.ch/record/2916696/files/202410-270_621.jpg?subformat=icon-1440 icon-1440 2680019 82923 http://cds.cern.ch/record/2916696/files/202410-270_621.jpg?subformat=icon-180 icon-180 2680020 229428 http://cds.cern.ch/record/2916696/files/202410-270_629.jpg?subformat=icon-640 icon-640 2680020 778598 http://cds.cern.ch/record/2916696/files/202410-270_629.jpg?subformat=icon-1440 icon-1440 2680020 90848 http://cds.cern.ch/record/2916696/files/202410-270_629.jpg?subformat=icon-180 icon-180 2680021 231227 http://cds.cern.ch/record/2916696/files/202410-270_637.jpg?subformat=icon-640 icon-640 2680021 785280 http://cds.cern.ch/record/2916696/files/202410-270_637.jpg?subformat=icon-1440 icon-1440 2680021 90605 http://cds.cern.ch/record/2916696/files/202410-270_637.jpg?subformat=icon-180 icon-180 2680022 232153 http://cds.cern.ch/record/2916696/files/202410-270_641.jpg?subformat=icon-640 icon-640 2680022 793222 http://cds.cern.ch/record/2916696/files/202410-270_641.jpg?subformat=icon-1440 icon-1440 2680022 91356 http://cds.cern.ch/record/2916696/files/202410-270_641.jpg?subformat=icon-180 icon-180 2680023 201848 http://cds.cern.ch/record/2916696/files/202410-270_646.jpg?subformat=icon-640 icon-640 2680023 644775 http://cds.cern.ch/record/2916696/files/202410-270_646.jpg?subformat=icon-1440 icon-1440 2680023 88040 http://cds.cern.ch/record/2916696/files/202410-270_646.jpg?subformat=icon-180 icon-180 2680024 200535 http://cds.cern.ch/record/2916696/files/202410-270_651.jpg?subformat=icon-640 icon-640 2680024 620621 http://cds.cern.ch/record/2916696/files/202410-270_651.jpg?subformat=icon-1440 icon-1440 2680024 87686 http://cds.cern.ch/record/2916696/files/202410-270_651.jpg?subformat=icon-180 icon-180 2680025 208973 http://cds.cern.ch/record/2916696/files/202410-270_666.jpg?subformat=icon-640 icon-640 2680025 639246 http://cds.cern.ch/record/2916696/files/202410-270_666.jpg?subformat=icon-1440 icon-1440 2680025 89934 http://cds.cern.ch/record/2916696/files/202410-270_666.jpg?subformat=icon-180 icon-180 2680026 207291 http://cds.cern.ch/record/2916696/files/202410-270_671.jpg?subformat=icon-640 icon-640 2680026 660109 http://cds.cern.ch/record/2916696/files/202410-270_671.jpg?subformat=icon-1440 icon-1440 2680026 89091 http://cds.cern.ch/record/2916696/files/202410-270_671.jpg?subformat=icon-180 icon-180 2680027 210510 http://cds.cern.ch/record/2916696/files/202410-270_675.jpg?subformat=icon-640 icon-640 2680027 677331 http://cds.cern.ch/record/2916696/files/202410-270_675.jpg?subformat=icon-1440 icon-1440 2680027 89603 http://cds.cern.ch/record/2916696/files/202410-270_675.jpg?subformat=icon-180 icon-180 2680028 205620 http://cds.cern.ch/record/2916696/files/202410-270_678.jpg?subformat=icon-640 icon-640 2680028 651588 http://cds.cern.ch/record/2916696/files/202410-270_678.jpg?subformat=icon-1440 icon-1440 2680028 88981 http://cds.cern.ch/record/2916696/files/202410-270_678.jpg?subformat=icon-180 icon-180 2680029 221579 http://cds.cern.ch/record/2916696/files/202410-270_688.jpg?subformat=icon-640 icon-640 2680029 704612 http://cds.cern.ch/record/2916696/files/202410-270_688.jpg?subformat=icon-1440 icon-1440 2680029 91653 http://cds.cern.ch/record/2916696/files/202410-270_688.jpg?subformat=icon-180 icon-180 2680030 206326 http://cds.cern.ch/record/2916696/files/202410-270_703.jpg?subformat=icon-640 icon-640 2680030 617941 http://cds.cern.ch/record/2916696/files/202410-270_703.jpg?subformat=icon-1440 icon-1440 2680030 89140 http://cds.cern.ch/record/2916696/files/202410-270_703.jpg?subformat=icon-180 icon-180 2680031 216068 http://cds.cern.ch/record/2916696/files/202410-270_707.jpg?subformat=icon-640 icon-640 2680031 674562 http://cds.cern.ch/record/2916696/files/202410-270_707.jpg?subformat=icon-1440 icon-1440 2680031 89773 http://cds.cern.ch/record/2916696/files/202410-270_707.jpg?subformat=icon-180 icon-180 2680032 213560 http://cds.cern.ch/record/2916696/files/202410-270_720.jpg?subformat=icon-640 icon-640 2680032 668128 http://cds.cern.ch/record/2916696/files/202410-270_720.jpg?subformat=icon-1440 icon-1440 2680032 89521 http://cds.cern.ch/record/2916696/files/202410-270_720.jpg?subformat=icon-180 icon-180 2680033 213983 http://cds.cern.ch/record/2916696/files/202410-270_723.jpg?subformat=icon-640 icon-640 2680033 663011 http://cds.cern.ch/record/2916696/files/202410-270_723.jpg?subformat=icon-1440 icon-1440 2680033 89783 http://cds.cern.ch/record/2916696/files/202410-270_723.jpg?subformat=icon-180 icon-180 2680034 231211 http://cds.cern.ch/record/2916696/files/202410-270_727.jpg?subformat=icon-640 icon-640 2680034 756706 http://cds.cern.ch/record/2916696/files/202410-270_727.jpg?subformat=icon-1440 icon-1440 2680034 90745 http://cds.cern.ch/record/2916696/files/202410-270_727.jpg?subformat=icon-180 icon-180 2680035 224378 http://cds.cern.ch/record/2916696/files/202410-270_731.jpg?subformat=icon-640 icon-640 2680035 696533 http://cds.cern.ch/record/2916696/files/202410-270_731.jpg?subformat=icon-1440 icon-1440 2680035 90356 http://cds.cern.ch/record/2916696/files/202410-270_731.jpg?subformat=icon-180 icon-180 2680036 212981 http://cds.cern.ch/record/2916696/files/202410-270_743.jpg?subformat=icon-640 icon-640 2680036 654672 http://cds.cern.ch/record/2916696/files/202410-270_743.jpg?subformat=icon-1440 icon-1440 2680036 89206 http://cds.cern.ch/record/2916696/files/202410-270_743.jpg?subformat=icon-180 icon-180 marina.cavazza@cern.ch protocol.office@cern.ch Paola.Catapano@cern.ch n 202446 Auditorium Sergio Marchionne CERN Protocol Office <protocol.office@cern.ch> Auditorium Sergio Marchionne CERN Paola CATAPANO <Paola.Catapano@cern.ch> 86 PUBLIC VISIBLE PHOTOLABCERN 2916171 SzGeCERN 20250128094554.0 oai:cds.cern.ch:2916171 cerncds:FULLTEXT cerncds:CERN:FULLTEXT INIS cerncds:CERN DOI 10.22323/1.478.0268 INSPIRE 2803901 CMS-CR-2024-238 eng Sohail, Iqra XX CCID-821444 Quaid-i-Azam U. Performance analysis of phase 2 Tracker upgrade Ps Module before and after irradiation Performance of phase 2 Tracker upgrade pixel-strip Module before and after irradiation 2025 Geneva CERN 27 Sep 2024 6 p The Large Hadron Collider will undergo a luminosity upgrade targeting a peak instantaneous luminosity ranging from 5 up to 7.5$\times10^{34}$ cm$^{-2}$s$^{-1}$. The ambitious goal of the High Luminosity LHC is to achieve a total of 3000--4000 fb$^{-1}$ of proton-proton collisions at a center-of-mass energy of 13--14 TeV by 2041. To cope with such challenging environmental conditions, the outer tracker of the CMS experiment will be upgraded using closely spaced silicon sensors (pixels and strips) to survive in the harsh radiation environment. A pixel-strip module, composed of a pixel and a strip sensor, was tested at the Fermilab Test-Beam Facility to evaluate its ability to provide accurate tracking information, $p_{\rm T}$ discrimination, and optimal performance at the irradiation levels expected after being exposed to the harsh conditions of the High Luminosity LHC. The results of the test and the comparison of the module performance before and after irradiation will be presented in this poster. CERN EDS For annual report SzGeCERN Detectors and Experimental Techniques CMS General INTNOTE CERN PUBLCMS ARTICLE CERN LHC CMS PH CMS Collaboration 268 PoS LHCP2024 2025 2651954 643029 http://cds.cern.ch/record/2916171/files/CR2024_238.pdf n 202445 2897247 268 boston20240603 PUBLIC INTNOTECMSPUBL ConferencePaper ARTICLE 2920616 20260417091058.0 oai:cds.cern.ch:2920616 cerncds:FULLTEXT cerncds:CONF cerncds:CERN:FULLTEXT cerncds:CERN cerncds:CONF:FULLTEXT DOI Springer 10.1140/epjqt/s40507-025-00344-3 arXiv oai:arXiv.org:2412.14960 Inspire oai:inspirehep.net:2861394 2026-02-12T14:02:18Z 2026-02-13T03:00:04Z marcxml true https://inspirehep.net/api/oai2d INSPIRE-CNUM C24-04-03.2 Inspire 2861394 arXiv arXiv:2412.14960 hep-ex eng Abdalla, Adam GRID:grid.6546.1 ROR:https://ror.org/05n911h24 Darmstadt, Tech. Hochsch. Fachbereich Physik, Institut für Angewandte Physik, Technische Universität Darmstadt, Schlossgartenstrasse 7, 64289 Darmstadt, Germany 20240403 2nd Terrestrial Very-Long-Baseline Atom Interferometry Workshop (TVLBAI 2024) London, United Kingdom 3 - 5 Apr 2024 2024 london20240403 UK 20240405 arXiv Terrestrial Very-Long-Baseline Atom Interferometry Workshop (TVLBAI 2024) 2025-04-03 2024-12-19 79 p arXiv Summary of the second Terrestrial Very-Long-Baseline Atom Interferometry Workshop held at Imperial College London: https://indico.cern.ch/event/1369392/ Springer This summary of the second Terrestrial Very-Long-Baseline Atom Interferometry (TVLBAI) Workshop provides a comprehensive overview of our meeting held in London in April 2024 (Second Terrestrial Very-Long-Baseline Atom Interferometry Workshop, Imperial College, April 2024), building on the initial discussions during the inaugural workshop held at CERN in March 2023 (First Terrestrial Very-Long-Baseline Atom Interferometry Workshop, CERN, March 2023). Like the summary of the first workshop (Abend et al. in AVS Quantum Sci. 6:024701, 2024), this document records a critical milestone for the international atom interferometry community. It documents our concerted efforts to evaluate progress, address emerging challenges, and refine strategic directions for future large-scale atom interferometry projects. Our commitment to collaboration is manifested by the integration of diverse expertise and the coordination of international resources, all aimed at advancing the frontiers of atom interferometry physics and technology, as set out in a Memorandum of Understanding signed by over 50 institutions (Memorandum of Understanding for the Terrestrial Very Long Baseline Atom Interferometer Study). arXiv This summary of the second Terrestrial Very-Long-Baseline Atom Interferometry (TVLBAI) Workshop provides a comprehensive overview of our meeting held in London in April 2024, building on the initial discussions during the inaugural workshop held at CERN in March 2023. Like the summary of the first workshop, this document records a critical milestone for the international atom interferometry community. It documents our concerted efforts to evaluate progress, address emerging challenges, and refine strategic directions for future large-scale atom interferometry projects. Our commitment to collaboration is manifested by the integration of diverse expertise and the coordination of international resources, all aimed at advancing the frontiers of atom interferometry physics and technology, as set out in a Memorandum of Understanding signed by over 50 institutions. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication CC BY-NC-ND 4.0 http://creativecommons.org/licenses/by-nc-nd/4.0/ Other arXiv physics.atom-ph SzGeCERN Other Fields of Physics arXiv hep-ph SzGeCERN Particle Physics - Phenomenology arXiv gr-qc SzGeCERN General Relativity and Cosmology arXiv astro-ph.IM SzGeCERN Astrophysics and Astronomy arXiv hep-ex SzGeCERN Particle Physics - Experiment CERN PROCEEDINGS Abe, Mahiro GRID:grid.168010.e ROR:https://ror.org/00f54p054 Stanford U., Phys. Dept. Department of Physics, Stanford University, 94305 Stanford, California, USA Abend, Sven GRID:grid.9122.8 ROR:https://ror.org/0304hq317 Leibniz U., Hannover Institut für Quantenoptik, Leibniz Universität Hannover, Welfengarten 1, 30167 Hannover, Germany Abidi, Mouine GRID:grid.9122.8 ROR:https://ror.org/0304hq317 Leibniz U., Hannover Institut für Quantenoptik, Leibniz Universität Hannover, Welfengarten 1, 30167 Hannover, Germany Aidelsburger, Monika GRID:grid.450272.6 GRID:grid.5252.0 GRID:grid.510972.8 ROR:https://ror.org/01vekys64 ROR:https://ror.org/05591te55 ROR:https://ror.org/05591te55 Munich, Max Planck Inst. Quantenopt. Munich U. Munich U., ASC MCQST, Munich Max-Planck-Institut für Quantenoptik, Hans-Kopfermann-Strasse 1, 85748 Garching, Germany Fakultät für Physik, Ludwig-Maximilians-Universität, Schellingstrasse 4, 80799 Munich, Germany Munich Center for Quantum Science and Technology (MCQST), Schellingstrasse 4, 80799 Munich, Germany Alibabaei, Ashkan GRID:grid.9122.8 ROR:https://ror.org/0304hq317 Leibniz U., Hannover Institut für Quantenoptik, Leibniz Universität Hannover, Welfengarten 1, 30167 Hannover, Germany Allard, Baptiste GRID:grid.15781.3a LCAR, Toulouse Laboratoire Collisions Agrégats Réactivité UMR5589, University of Toulouse III Paul Sabatier CNRS, 118 Route de Narbonne, Toulouse, France Antoniadis, John GRID:grid.4834.b ROR:https://ror.org/04gnjpq42 Athens U. Foundation for Research and Technology-Hellas (FORTH), 70013 Heraklion, Greece Arduini, Gianluigi GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, CH-1211 Geneva 23, Switzerland Augst, Nadja GRID:grid.7551.6 DLR, Berlin Institute of Quantum Technologies, German Aerospace Center (DLR), Wilhelm-Runge-Straße 10, 89081 Ulm, Germany Balamatsias, Philippos GRID:grid.4834.b IESL, Heraklion BEC and Matterwave Optics Group, Institute of Electronic Structure and Lasers, Foundation for Research and Technology - Hellas, Nikolaou Plastira 100, 70013 Crete, Greece Balaž, Antun GRID:grid.7149.b GRID:grid.419269.1 ROR:https://ror.org/02qsmb048 Belgrade, Inst. Phys. Math. Inst. SANU Institute of Physics Belgrade, University of Belgrade, Pregrevica 118, 11080 Belgrade, Serbia Serbian Academy of Sciences and Arts, Kneza Mihaila 35, 11000 Belgrade, Serbia Banks, Hannah GRID:grid.5335.0 ROR:https://ror.org/013meh722 Cambridge U., DAMTP Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Wilberforce Road, CB3 0WA Cambridge, UK Barcklay, Rachel L. GRID:grid.168010.e ROR:https://ror.org/00f54p054 Stanford U., Phys. Dept. Department of Physics, Stanford University, 94305 Stanford, California, USA Barone, Michele GRID:grid.6083.d ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27 & Patr. Grigoriou Street, Ag. Paraskevi Attikis, 15341 Athens, Greece Barsanti, Michele GRID:grid.5395.a ROR:https://ror.org/03ad39j10 Pisa U. Department of Civil and Industrial Engineering, University of Pisa, Largo Lucio Lazzarino, 56122 Pisa, Italy Bason, Mark G. GRID:grid.76978.37 ROR:https://ror.org/03gq8fr08 Rutherford RAL Space, Rutherford Appleton Laboratory, UKRI-STFC, Fermi Avenue, OX11 OQX Didcot, UK Bassi, Angelo GRID:grid.5133.4 GRID:grid.6045.7 ROR:https://ror.org/004fze387 ROR:https://ror.org/05j3snm48 SISSA, Trieste INFN, Trieste Department of Physics, University of Trieste, Strada Costiera 11, 34151 Trieste, Italy Istituto Nazionale di Fisica Nucleare, Trieste Section, Via Valerio 2, 34127 Trieste, Italy Bayle, Jean-Baptiste GRID:grid.8756.c ROR:https://ror.org/00vtgdb53 Glasgow U. University of Glasgow, G12 8QQ Glasgow, UK Baynham, Charles F.A. GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department, Imperial College London, Prince Consort Road, SW7 2AZ London, UK Beaufils, Quentin SYRTE, Paris LNE-SYRTE, Observatoire de Paris, Université PSL, CNRS, Sorbonne Université, Paris, France Beldjoudi, Sélyan GRID:grid.15781.3a LCAR, Toulouse Laboratoire Collisions Agrégats Réactivité UMR5589, University of Toulouse III Paul Sabatier CNRS, 118 Route de Narbonne, Toulouse, France Belić, Aleksandar GRID:grid.7149.b ROR:https://ror.org/02qsmb048 Belgrade, Inst. Phys. Institute of Physics Belgrade, University of Belgrade, Pregrevica 118, 11080 Belgrade, Serbia Bennetts, Shayne GRID:grid.7177.6 GRID:grid.28665.3f Amsterdam U., Zeeman Lab. Taiwan, Inst. Atomic Molec. Sci. Van der Waals-Zeeman Institute, Institute of Physics, University of Amsterdam, Science Park 904, 1098XH Amsterdam, The Netherlands Institute of Atomic and Molecular Sciences, Academia Sinica, 10617 Taipei, Taiwan Bernabeu, Jose ORCID:0000-0003-3677-1328 GRID:grid.5338.d ROR:https://ror.org/043nxc105 ROR:https://ror.org/017xch102 Valencia U. Valencia U., IFIC IFIC, Joint Centre CSIC-University of Valencia, E-46100 Burjassot, Valencia, Spain Bertoldi, Andrea GRID:grid.412041.2 ROR:https://ror.org/057qpr032 LP2N, Bordeaux Laboratoire Photonique, Numérique et Nanosciences (LP2N), Université de Bordeaux-IOGS-CNRS, F-33400 Talence, France Bigard, Clara GRID:grid.15781.3a LCAR, Toulouse Laboratoire Collisions Agrégats Réactivité UMR5589, University of Toulouse III Paul Sabatier CNRS, 118 Route de Narbonne, Toulouse, France Bigelow, N.P. GRID:grid.16416.34 ROR:https://ror.org/022kthw22 Rochester U. Department of Physics and Astronomy and Institute of Optics, University of Rochester, 14627 Rochester, New York, USA Bingham, Robert GRID:grid.76978.37 ROR:https://ror.org/03gq8fr08 Rutherford Harwell Campus, STFC Rutherford Appleton Laboratory, OX11 0QX Didcot, Oxfordshire, UK Blas, Diego ORCID:0000-0003-2646-0112 GRID:grid.435462.2 GRID:grid.425902.8 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE ICREA, Barcelona Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology, Campus UAB, 08193 Bellaterra (Barcelona), Spain Institució Catalana de Recerca i Estudis Avançats (ICREA), Passeig Lluís Companys 23, 08010 Barcelona, Spain Bobrick, Alexey GRID:grid.6451.6 ROR:https://ror.org/03qryx823 Technion Physics Department, Technion – Israel Institute of Technology, 3200002 Haifa, Israel Boehringer, Samuel GRID:grid.6582.9 Ulm U. Institut für Quantenphysik and Center for Integrated Quantum Science and Technology (IQST), Universität Ulm, Albert-Einstein-Allee 11, D-89081 Ulm, Germany Bogojević, Aleksandar GRID:grid.7149.b ROR:https://ror.org/02qsmb048 Belgrade, Inst. Phys. Institute of Physics Belgrade, University of Belgrade, Pregrevica 118, 11080 Belgrade, Serbia Bongs, Kai GRID:grid.7551.6 DLR, Berlin Institute of Quantum Technologies, German Aerospace Center (DLR), Wilhelm-Runge-Straße 10, 89081 Ulm, Germany Bortoletto, Daniela GRID:grid.4991.5 ROR:https://ror.org/052gg0110 Oxford U. Department of Physics, University of Oxford, Parks Road, OX1 3PU Oxford, UK Bouyer, Philippe GRID:grid.7177.6 GRID:grid.503021.5 GRID:grid.6852.9 ROR:https://ror.org/00x7ekv49 ROR:https://ror.org/02c2kyt77 Amsterdam U., Zeeman Lab. Amsterdam, CWI Eindhoven, Tech. U. Van der Waals-Zeeman Institute, Institute of Physics, University of Amsterdam, Science Park 904, 1098XH Amsterdam, The Netherlands QuSoft, Science Park 123, 1098XG Amsterdam, The Netherlands Eindhoven University of Technology, P.O. Box 513, 5600MB Eindhoven, The Netherlands Brand, Christian GRID:grid.7551.6 DLR, Berlin Institute of Quantum Technologies, German Aerospace Center (DLR), Wilhelm-Runge-Straße 10, 89081 Ulm, Germany Buchmueller, Oliver Oliver.Buchmueller@cern.ch GRID:grid.7445.2 GRID:grid.4991.5 ROR:https://ror.org/041kmwe10 ROR:https://ror.org/052gg0110 Imperial Coll., London Oxford U. Physics Department, Imperial College London, Prince Consort Road, SW7 2AZ London, UK Department of Physics, University of Oxford, Parks Road, OX1 3PU Oxford, UK Buica, Gabriela ORCID:0000-0002-3690-0452 GRID:grid.450283.8 ROR:https://ror.org/054a6wv56 Bucharest, Inst. Space Science Institute of Space Science - INFLPR Subsidiary, 409 Atomistilor street, 077125 Magurele, Ilfov, Romania Calatroni, Sergio GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, CH-1211 Geneva 23, Switzerland Calmels, Léo GRID:grid.15781.3a LCAR, Toulouse Laboratoire Collisions Agrégats Réactivité UMR5589, University of Toulouse III Paul Sabatier CNRS, 118 Route de Narbonne, Toulouse, France Canizares, Priscilla GRID:grid.5335.0 ROR:https://ror.org/013meh722 Cambridge U., DAMTP Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Wilberforce Road, CB3 0WA Cambridge, UK Canuel, Benjamin GRID:grid.412041.2 ROR:https://ror.org/057qpr032 LP2N, Bordeaux Laboratoire Photonique, Numérique et Nanosciences (LP2N), Université de Bordeaux-IOGS-CNRS, F-33400 Talence, France Caramete, Ana GRID:grid.450283.8 ROR:https://ror.org/054a6wv56 Bucharest, Inst. Space Science Institute of Space Science - INFLPR Subsidiary, 409 Atomistilor street, 077125 Magurele, Ilfov, Romania Caramete, Laurentiu-Ioan GRID:grid.450283.8 ROR:https://ror.org/054a6wv56 Bucharest, Inst. Space Science Institute of Space Science - INFLPR Subsidiary, 409 Atomistilor street, 077125 Magurele, Ilfov, Romania Carlesso, Matteo ORCID:0000-0002-9929-7291 GRID:grid.5133.4 GRID:grid.6045.7 ROR:https://ror.org/004fze387 ROR:https://ror.org/05j3snm48 SISSA, Trieste INFN, Trieste Department of Physics, University of Trieste, Strada Costiera 11, 34151 Trieste, Italy Istituto Nazionale di Fisica Nucleare, Trieste Section, Via Valerio 2, 34127 Trieste, Italy Carlton, John ORCID:0000-0001-6483-5216 GRID:grid.13097.3c ROR:https://ror.org/0220mzb33 King's Coll. London Physics Department, King’s College London, Strand, WC2R 2LS London, UK Carman, Samuel P. GRID:grid.168010.e ROR:https://ror.org/00f54p054 Stanford U., Phys. Dept. Department of Physics, Stanford University, 94305 Stanford, California, USA Carroll, Andrew GRID:grid.10025.36 ROR:https://ror.org/04xs57h96 Liverpool U. Department of Physics, University of Liverpool, L69 7ZE Merseyside, UK Casariego, Mateo GRID:grid.462072.5 GRID:grid.11480.3c ROR:https://ror.org/000xsnr85 IKERBASQUE, Bilbao U. Basque Country, Leioa Basque Center for Applied Mathematics (BCAM), Alameda de Mazarredo 14, 48009 Bilbao, Spain EHU Quantum Center, University of the Basque Country UPV/EHU, Bilbao, Spain Chairetis, Minoas GRID:grid.4834.b IESL, Heraklion BEC and Matterwave Optics Group, Institute of Electronic Structure and Lasers, Foundation for Research and Technology - Hellas, Nikolaou Plastira 100, 70013 Crete, Greece Charmandaris, Vassilis GRID:grid.4834.b GRID:grid.8127.c GRID:grid.440838.3 ROR:https://ror.org/04gnjpq42 ROR:https://ror.org/00dr28g20 ROR:https://ror.org/02qjrjx09 Athens U. Crete U. Cyprus U. Foundation for Research and Technology-Hellas (FORTH), 70013 Heraklion, Greece Department of Physics, University of Crete, 71003 Heraklion, Greece School of Sciences, European University Cyprus, Diogenes Street, Engomi, 1516 Nicosia, Cyprus Chauhan, Upasna GRID:grid.6572.6 ROR:https://ror.org/03angcq70 Birmingham U. Cold Atoms Group, School of Physics and Astronomy, University of Birmingham, Edgbaston, B15 2TT Birmingham, UK Chen, Jiajun GRID:grid.5335.0 ROR:https://ror.org/013meh722 Cambridge U. Cavendish Laboratory, University of Cambridge, J. J. Thomson Avenue, CB3 0HE Cambridge, UK Chiofalo, Maria Luisa GRID:grid.5395.a GRID:grid.470216.6 ROR:https://ror.org/05symbg58 INFN, Pisa Department of Physics “Enrico Fermi”, University of Pisa, Largo Bruno Pontecorvo 3, 56126 Pisa, Italy INFN-Pisa, Largo Bruno Pontecorvo 3, 56126 Pisa, Italy Ciampini, Donatella GRID:grid.5395.a ROR:https://ror.org/05symbg58 INFN, Pisa Department of Physics “Enrico Fermi”, University of Pisa, Largo Bruno Pontecorvo 3, 56126 Pisa, Italy Cimbri, Alessia GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department, Imperial College London, Prince Consort Road, SW7 2AZ London, UK Cladé, Pierre GRID:grid.410533.0 ROR:https://ror.org/01h14ww21 Paris, Lab. Kastler Brossel Laboratoire Kastler Brossel, Sorbonne Université, CNRS, ENS-Université PSL, Collège de France, 4 place Jussieu, 75005 Paris, France Coleman, Jonathon GRID:grid.10025.36 ROR:https://ror.org/04xs57h96 Liverpool U. Department of Physics, University of Liverpool, L69 7ZE Merseyside, UK Constantin, Florin Lucian GRID:grid.503422.2 ROR:https://ror.org/04e89s906 PhLAM, Villeneuve d'Ascq Univ. Lille, CNRS, UMR 8523 - PhLAM - Physique des Lasers Atomes et Molécules, F-59000 Lille, France Contaldi, Carlo R. GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department, Imperial College London, Prince Consort Road, SW7 2AZ London, UK Corgier, Robin SYRTE, Paris LNE-SYRTE, Observatoire de Paris, Université PSL, CNRS, Sorbonne Université, Paris, France Dash, Bineet GRID:grid.214458.e ROR:https://ror.org/00jmfr291 U. Michigan, Ann Arbor Department of Physics, University of Michigan, 48109 Ann Arbor, MI, USA Davies, G.J. GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department, Imperial College London, Prince Consort Road, SW7 2AZ London, UK de Rham, Claudia GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department, Imperial College London, Prince Consort Road, SW7 2AZ London, UK De Roeck, Albert GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, CH-1211 Geneva 23, Switzerland Derr, Daniel GRID:grid.6546.1 ROR:https://ror.org/05n911h24 Darmstadt, Tech. Hochsch. Fachbereich Physik, Institut für Angewandte Physik, Technische Universität Darmstadt, Schlossgartenstrasse 7, 64289 Darmstadt, Germany Dey, Soumyodeep GRID:grid.6572.6 ROR:https://ror.org/03angcq70 Birmingham U. Cold Atoms Group, School of Physics and Astronomy, University of Birmingham, Edgbaston, B15 2TT Birmingham, UK Di Pumpo, Fabio GRID:grid.6582.9 Ulm U. Institut für Quantenphysik and Center for Integrated Quantum Science and Technology (IQST), Universität Ulm, Albert-Einstein-Allee 11, D-89081 Ulm, Germany Djordjevic, Goran S. GRID:grid.11374.30 Nis U. Department of Physics, University of Nis, Nis, Serbia SEENET-MTP Centre, Nis, Serbia Döbrich, Babette GRID:grid.435824.c ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, Boltzmannstrasse 8, 85748 Garching, Germany Dornan, Peter GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department, Imperial College London, Prince Consort Road, SW7 2AZ London, UK Doser, Michael GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, CH-1211 Geneva 23, Switzerland Drougakis, Giannis GRID:grid.4834.b IESL, Heraklion Institute of Electronic Structure and Laser, Foundation for Research and Technology – Hellas, Heraklion, Greece Dunningham, Jacob GRID:grid.12082.39 ROR:https://ror.org/00ayhx656 Sussex U. Department of Physics and Astronomy, University of Sussex, BN1 9QH Brighton, UK Duspayev, Alisher GRID:grid.214458.e GRID:grid.509518.0 ROR:https://ror.org/00jmfr291 ROR:https://ror.org/047s2c258 U. Michigan, Ann Arbor Maryland U. Department of Physics, University of Michigan, 48109 Ann Arbor, MI, USA Department of Physics and Joint Quantum Institute, University of Maryland, 20742 College Park, MD, USA Easo, Sajan GRID:grid.76978.37 ROR:https://ror.org/03gq8fr08 Rutherford Harwell Campus, STFC Rutherford Appleton Laboratory, OX11 0QX Didcot, Oxfordshire, UK Eby, Joshua GRID:grid.10548.38 ROR:https://ror.org/05f0yaq80 Stockholm U., OKC The Oskar Klein Centre, Department of Physics, Stockholm University, 10691 Stockholm, Sweden Efremov, Maxim GRID:grid.7551.6 GRID:grid.6582.9 DLR, Berlin Ulm U. Institute of Quantum Technologies, German Aerospace Center (DLR), Wilhelm-Runge-Straße 10, 89081 Ulm, Germany Institut für Quantenphysik and Center for Integrated Quantum Science and Technology (IQST), Universität Ulm, Albert-Einstein-Allee 11, D-89081 Ulm, Germany Elertas, Gedminas GRID:grid.10025.36 ROR:https://ror.org/04xs57h96 Liverpool U. Department of Physics, University of Liverpool, L69 7ZE Merseyside, UK Ellis, John John.Ellis@cern.ch GRID:grid.13097.3c ROR:https://ror.org/0220mzb33 King's Coll. London Physics Department, King’s College London, Strand, WC2R 2LS London, UK Entin, Nicholas GRID:grid.168010.e ROR:https://ror.org/00f54p054 Stanford U., Phys. Dept. Department of Physics, Stanford University, 94305 Stanford, California, USA Fairhurst, Stephen GRID:grid.5600.3 ROR:https://ror.org/03kk7td41 Cardiff U. Gravity Exploration Institute, School of Physics and Astronomy, Cardiff University, CF24 3AA Cardiff, UK Fanì, Mattia ORCID:0000-0002-4284-9614 GRID:grid.17635.36 ROR:https://ror.org/017zqws13 Minnesota U. School of Physics and Astronomy, University of Minnesota, 55455 Minneapolis, MN, USA Fassi, Farida GRID:grid.31143.34 ROR:https://ror.org/00r8w8f84 Rabat U. Faculty of Science, Mohammed V University, Avenue des Nations Unies, Agdal, B.P. 8007 N.U., 10000 Rabat, Morocco Fayet, Pierre GRID:grid.508487.6 GRID:grid.10877.39 ROR:https://ror.org/05hy3tk52 LPENS, Paris Ec. Polytech., Palaiseau (main) Laboratoire de physique de l’ENS, Ecole Normale Supérieure-PSL, CNRS, Sorbonne Université, Université Paris Cité, 24 rue Lhomond, 75231 Paris Cedex 05, France Ecole polytechnique, IPP, Palaiseau, France Felea, Daniel GRID:grid.450283.8 ROR:https://ror.org/054a6wv56 Bucharest, Inst. Space Science Institute of Space Science - INFLPR Subsidiary, 409 Atomistilor street, 077125 Magurele, Ilfov, Romania Feng, Jie GRID:grid.12981.33 ROR:https://ror.org/0064kty71 SYSU, Guangzhou School of Science, Shenzhen Campus of Sun Yat-sen University, 518107 Shenzhen, China Flack, Robert GRID:grid.83440.3b ROR:https://ror.org/02jx3x895 University Coll. London Department of Physics & Astronomy, University College London, WC1E 6BT London, UK Foot, Chris GRID:grid.4991.5 ROR:https://ror.org/052gg0110 Oxford U. Department of Physics, University of Oxford, Parks Road, OX1 3PU Oxford, UK Freegarde, Tim GRID:grid.5491.9 ROR:https://ror.org/01ryk1543 Southampton U. School of Physics and Astronomy, University of Southampton, Highfield, SO17 1BJ Southampton, UK Fuchs, Elina ORCID:0000-0002-0345-2948 GRID:grid.9122.8 GRID:grid.4764.1 ROR:https://ror.org/0304hq317 ROR:https://ror.org/05r3f7h03 Hannover U. Bremen U., ZARM Braunschweig, Phys. Tech. Bund. Institute of Theoretical Physics, Leibniz University Hannover, Appelstrasse 2, 30167 Hannover, Germany Physikalisch-Technische Bundesanstalt (PTB), Bundesallee 100, 38116 Braunschweig, Germany Gaaloul, Naceur GRID:grid.9122.8 ROR:https://ror.org/0304hq317 Leibniz U., Hannover Institut für Quantenoptik, Leibniz Universität Hannover, Welfengarten 1, 30167 Hannover, Germany Gao, Dongfeng GRID:grid.9227.e Wuhan, MRAMP CAS, APM, Wuhan State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, 430071 Wuhan, China Gardner, Susan ORCID:0000-0002-6166-5546 GRID:grid.266539.d ROR:https://ror.org/02k3smh20 Kentucky U. Department of Physics and Astronomy, University of Kentucky, 40506-0055 Lexington, KY, USA Garraway, Barry M. GRID:grid.12082.39 ROR:https://ror.org/00ayhx656 Sussex U. Department of Physics and Astronomy, University of Sussex, BN1 9QH Brighton, UK Alzar, Carlos L. Garrido SYRTE, Paris LNE-SYRTE, Observatoire de Paris, Université PSL, CNRS, Sorbonne Université, Paris, France Gauguet, Alexandre GRID:grid.15781.3a LCAR, Toulouse Laboratoire Collisions Agrégats Réactivité UMR5589, University of Toulouse III Paul Sabatier CNRS, 118 Route de Narbonne, Toulouse, France Giese, Enno GRID:grid.6546.1 ROR:https://ror.org/05n911h24 Darmstadt, Tech. Hochsch. Fachbereich Physik, Institut für Angewandte Physik, Technische Universität Darmstadt, Schlossgartenstrasse 7, 64289 Darmstadt, Germany Gill, Patrick GRID:grid.410351.2 ROR:https://ror.org/015w2mp89 Teddington, Natl. Phys. Lab National Physical Laboratory, Hampton Road, TW11 0LW Teddington, UK Giudice, Gian F. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, CH-1211 Geneva 23, Switzerland Glasbrenner, Eric P. GRID:grid.6582.9 Ulm U. Institut für Quantenphysik and Center for Integrated Quantum Science and Technology (IQST), Universität Ulm, Albert-Einstein-Allee 11, D-89081 Ulm, Germany Glick, Jonah GRID:grid.16753.36 ROR:https://ror.org/000e0be47 Northwestern U. Department of Physics and Astronomy and Center for Fundamental Physics, Northwestern University, Evanston, IL, USA Graham, Peter W. ORCID:0000-0002-1600-1601 GRID:grid.168010.e ROR:https://ror.org/00f54p054 Stanford U., Phys. Dept. Department of Physics, Stanford University, 94305 Stanford, California, USA Granados, Eduardo GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, CH-1211 Geneva 23, Switzerland Griffin, Paul F. GRID:grid.11984.35 Strathclyde U. SUPA and Department of Physics, University of Strathclyde, G4 0NG Glasgow, UK Gué, Jordan GRID:grid.435462.2 ROR:https://ror.org/01sdrjx85 SYRTE, Paris Barcelona, IFAE LNE-SYRTE, Observatoire de Paris, Université PSL, CNRS, Sorbonne Université, Paris, France Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology, Campus UAB, 08193 Bellaterra (Barcelona), Spain Guellati-Khelifa, Saïda GRID:grid.410533.0 GRID:grid.36823.3c ROR:https://ror.org/01h14ww21 Paris, Lab. Kastler Brossel CNAM, Paris Laboratoire Kastler Brossel, Sorbonne Université, CNRS, ENS-Université PSL, Collège de France, 4 place Jussieu, 75005 Paris, France National Conservatory of Arts and Crafts, 292 Rue Saint-Martin, 75003 Paris, France Gupta, Subhadeep GRID:grid.34477.33 ROR:https://ror.org/00cvxb145 Washington U., Seattle Department of Physics, University of Washington, 98195 Seattle, Washington, USA Gupta, Vishu GRID:grid.9122.8 ROR:https://ror.org/0304hq317 Leibniz U., Hannover Institut für Quantenoptik, Leibniz Universität Hannover, Welfengarten 1, 30167 Hannover, Germany Hackermueller, Lucia GRID:grid.4563.4 ROR:https://ror.org/01ee9ar58 Nottingham U. School of Physics and Astronomy, University of Nottingham, University Park, NG7 2RD Nottingham, UK Haehnelt, Martin GRID:grid.5335.0 ROR:https://ror.org/013meh722 Cambridge U., KICC Kavli Institute for Cosmology and Institute of Astronomy, University of Cambridge, Madingley Road, CB3 0HA Cambridge, UK Hakulinen, Timo GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, CH-1211 Geneva 23, Switzerland Hammerer, Klemens ORCID:0000-0002-7179-0666 GRID:grid.9122.8 ROR:https://ror.org/0304hq317 Hannover U. Bremen U., ZARM Institute of Theoretical Physics, Leibniz University Hannover, Appelstrasse 2, 30167 Hannover, Germany Hanımeli, Ekim T. GRID:grid.7704.4 Bremen U., ZARM ZARM Center of Applied Space Technology and Microgravity, Universität Bremen, Bremen, Germany Harte, Tiffany GRID:grid.5335.0 ROR:https://ror.org/013meh722 Cambridge U. Cavendish Laboratory, University of Cambridge, J. J. Thomson Avenue, CB3 0HE Cambridge, UK Hartmann, Sabrina GRID:grid.6582.9 Ulm U. Institut für Quantenphysik and Center for Integrated Quantum Science and Technology (IQST), Universität Ulm, Albert-Einstein-Allee 11, D-89081 Ulm, Germany Hawkins, Leonie GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department, Imperial College London, Prince Consort Road, SW7 2AZ London, UK Hees, Aurelien ORCID:0000-0002-2186-644X SYRTE, Paris LNE-SYRTE, Observatoire de Paris, Université PSL, CNRS, Sorbonne Université, Paris, France Herbst, Alexander GRID:grid.9122.8 ROR:https://ror.org/0304hq317 Leibniz U., Hannover Institut für Quantenoptik, Leibniz Universität Hannover, Welfengarten 1, 30167 Hannover, Germany Hird, Thomas M. GRID:grid.4991.5 GRID:grid.6572.6 ROR:https://ror.org/052gg0110 ROR:https://ror.org/03angcq70 Oxford U. Birmingham U. Department of Physics, University of Oxford, Parks Road, OX1 3PU Oxford, UK Cold Atoms Group, School of Physics and Astronomy, University of Birmingham, Edgbaston, B15 2TT Birmingham, UK Hobson, Richard GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department, Imperial College London, Prince Consort Road, SW7 2AZ London, UK Hogan, Jason GRID:grid.168010.e ROR:https://ror.org/00f54p054 Stanford U., Phys. Dept. Department of Physics, Stanford University, 94305 Stanford, California, USA Holst, Bodil GRID:grid.7914.b ROR:https://ror.org/03zga2b32 Bergen U. Department of Physics and Technology, University of Bergen, Allegaten 55, 5007 Bergen, Norway Holynski, Michael GRID:grid.6572.6 ROR:https://ror.org/03angcq70 Birmingham U. Cold Atoms Group, School of Physics and Astronomy, University of Birmingham, Edgbaston, B15 2TT Birmingham, UK Hosten, Onur GRID:grid.33565.36 Unlisted, AT Institute of Science and Technology Austria, Klosterneuburg, Austria Hsu, Chung Chuan GRID:grid.5335.0 ROR:https://ror.org/013meh722 Cambridge U. Cavendish Laboratory, University of Cambridge, J. J. Thomson Avenue, CB3 0HE Cambridge, UK Huang, Wayne Cheng-Wei GRID:grid.38348.34 ROR:https://ror.org/00zdnkx70 Taiwan, Natl. Tsing Hua U. Department of Physics, National Tsing Hua University, 30013 Hsinchu, Taiwan (R.O.C.) Hughes, Kenneth M. GRID:grid.4991.5 ROR:https://ror.org/052gg0110 Oxford U. Department of Physics, University of Oxford, Parks Road, OX1 3PU Oxford, UK Hussain, Kamran GRID:grid.76978.37 GRID:grid.10025.36 ROR:https://ror.org/03gq8fr08 ROR:https://ror.org/04xs57h96 Rutherford Liverpool U. Harwell Campus, STFC Rutherford Appleton Laboratory, OX11 0QX Didcot, Oxfordshire, UK Department of Physics, University of Liverpool, L69 7ZE Merseyside, UK Hütsi, Gert GRID:grid.177284.f ROR:https://ror.org/03eqd4a41 NICPB, Tallinn Keemilise ja bioloogilise füüsika instituut, Rävala pst. 10, 10143 Tallinn, Estonia Iovino, Antonio ORCID:0000-0002-8531-5962 GRID:grid.7841.a GRID:grid.470218.8 GRID:grid.8591.5 ROR:https://ror.org/05eva6s33 ROR:https://ror.org/01swzsf04 INFN, Rome Geneva U. Dipartimento di Fisica, Sapienza Università di Roma, Piazzale Aldo Moro 5, 00185 Rome, Italy INFN, Sezione di Roma, Piazzale Aldo Moro 2, 00185 Rome, Italy Gravitational Wave Science Center (GWSC), Université de Genève, CH-1211 Geneva, Switzerland Isfan, Maria-Catalina GRID:grid.450283.8 GRID:grid.5100.4 ROR:https://ror.org/054a6wv56 ROR:https://ror.org/02x2v6p15 Bucharest, Inst. Space Science Bucharest U. Institute of Space Science - INFLPR Subsidiary, 409 Atomistilor street, 077125 Magurele, Ilfov, Romania Faculty of Physics, University of Bucharest, 405 Atomistilor Street, 077125 Magurele, Ilfov, Romania Janson, Gregor GRID:grid.6582.9 Ulm U. Institut für Quantenphysik and Center for Integrated Quantum Science and Technology (IQST), Universität Ulm, Albert-Einstein-Allee 11, D-89081 Ulm, Germany Jeglič, Peter GRID:grid.445211.7 ROR:https://ror.org/05060sz93 Stefan Inst., Ljubljana Jožef Stefan Institute, Jamova 39, SI-1000 Ljubljana, Slovenia Jetzer, Philippe GRID:grid.7400.3 ROR:https://ror.org/02crff812 Zurich U. Department of Physics, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland Jiang, Yijun GRID:grid.168010.e ROR:https://ror.org/00f54p054 Stanford U., Phys. Dept. Department of Physics, Stanford University, 94305 Stanford, California, USA Juzeliūnas, Gediminas GRID:grid.6441.7 ROR:https://ror.org/03nadee84 Vilnius, Inst. Theor. Phys. Astron. Institute of Theoretical Physics and Astronomy, Vilnius University, Saulėtekio 3, LT-10257 Vilnius, Lithuania Kaenders, Wilhelm GRID:grid.426263.7 Unlisted, DE TOPTICA Photonics AG, Lochhamer Schlag 19, 82166 Graefelfing (Munich), Germany Kalliokoski, Matti GRID:grid.7737.4 ROR:https://ror.org/040af2s02 Helsinki U. Helsinki Institute of Physics, University of Helsinki, Helsinki, Finland Kehagias, Alex GRID:grid.4241.3 ROR:https://ror.org/03cx6bg69 Natl. Tech. U., Athens Physics Division, School of Applied Mathematical and Physical Sciences, NTUA, Hroon Polytechniou 9, 15780 Athens, Greece Kilian, Eva GRID:grid.83440.3b ROR:https://ror.org/02jx3x895 University Coll. London Department of Physics & Astronomy, University College London, WC1E 6BT London, UK Klempt, Carsten GRID:grid.7551.6 DLR, Oberpfaffenhofen Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), Institut für Satellitengeodäsie und Inertialsensorik, Callinstraße 30b, 30167 Hannover, Germany Knight, Peter GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department, Imperial College London, Prince Consort Road, SW7 2AZ London, UK Koley, Soumen GRID:grid.4861.b ROR:https://ror.org/00afp2z80 Liege U. Département d’astrophysique, géophysique et océanographie (AGO), L’Université de Liège, Liège, Belgium Konrad, Bernd GRID:grid.7551.6 DLR, Berlin Institute of Quantum Technologies, German Aerospace Center (DLR), Wilhelm-Runge-Straße 10, 89081 Ulm, Germany Kovachy, Tim GRID:grid.16753.36 ROR:https://ror.org/000e0be47 Northwestern U. Department of Physics and Astronomy and Center for Fundamental Physics, Northwestern University, Evanston, IL, USA Krutzik, Markus GRID:grid.7468.d GRID:grid.450248.f ROR:https://ror.org/01hcx6992 ROR:https://ror.org/02be22443 Humboldt U., Berlin Berlin FBI Institut für Physik and IRIS, Humboldt-Universität zu Berlin, Newtonstrasse 15, 12489 Berlin, Germany Ferdinand-Braun-Institut (FBH), Gustav-Kirchoff-Strasse 4, 12489 Berlin, Germany Kumar, Mukesh GRID:grid.11951.3d ROR:https://ror.org/03rp50x72 U. Witwatersrand, Johannesburg, Sch. Phys. School of Physics and Institute for Collider Particle Physics, University of the Witwatersrand, Johannesburg, 2050 Wits, South Africa Kumar, Pradeep GRID:grid.417959.7 ROR:https://ror.org/02rb21j89 IISER, Bhopal Experimental Condensed Matter Physics Group, Ultrafast Coherent Spectroscopy Laboratory, Indian Institute of Science Education and Research, 462066 Bhopal, India Labiad, Hamza GRID:grid.76978.37 GRID:grid.10025.36 ROR:https://ror.org/03gq8fr08 ROR:https://ror.org/04xs57h96 Rutherford Liverpool U. RAL Space, Rutherford Appleton Laboratory, UKRI-STFC, Fermi Avenue, OX11 OQX Didcot, UK Department of Physics, University of Liverpool, L69 7ZE Merseyside, UK Lan, Shau-Yu GRID:grid.28665.3f GRID:grid.38348.34 GRID:grid.19188.39 ROR:https://ror.org/00zdnkx70 ROR:https://ror.org/059dkdx38 Taiwan, Inst. Atomic Molec. Sci. Taiwan, Natl. Tsing Hua U. Taiwan, Natl. Normal U. Institute of Atomic and Molecular Sciences, Academia Sinica, 10617 Taipei, Taiwan Department of Physics, National Tsing Hua University, 30013 Hsinchu, Taiwan (R.O.C.) Center for Quantum Science and Engineering, National Taiwan University, 10617 Taipei, Taiwan Landragin, Arnaud SYRTE, Paris LNE-SYRTE, Observatoire de Paris, Université PSL, CNRS, Sorbonne Université, Paris, France Landsberg, Greg GRID:grid.40263.33 ROR:https://ror.org/05gq02987 Brown U. Dept. of Physics, Brown University, 182 Hope St., 02912 Providence, RI, USA Langlois, Mehdi GRID:grid.20861.3d ROR:https://ror.org/027k65916 Caltech, JPL Jet Propulsion Laboratory, California Institute of Technology, 91109 Pasadena, California, USA Lanigan, Bryony GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London Centre for Cold Matter, Blackett Laboratory, Imperial College, Prince Consort Road, SW7 2AZ London, UK Leone, Bruno GRID:grid.434160.4 European Space Agency European Centre for Space Applications and Telecommunications (ECSAT), European Space Agency (ESA), Fermi Avenue, Harwell Campus, OX11 0FD Didcot, UK Le Poncin-Lafitte, Christophe SYRTE, Paris LNE-SYRTE, Observatoire de Paris, Université PSL, CNRS, Sorbonne Université, Paris, France Lellouch, Samuel GRID:grid.6572.6 ROR:https://ror.org/03angcq70 Birmingham U. Cold Atoms Group, School of Physics and Astronomy, University of Birmingham, Edgbaston, B15 2TT Birmingham, UK Lewicki, Marek ORCID:0000-0002-8378-0107 GRID:grid.12847.38 ROR:https://ror.org/039bjqg32 Warsaw U. Faculty of Physics, University of Warsaw, ul. Pasteura 5, 02-093 Warsaw, Poland Lien, Yu-Hung GRID:grid.6572.6 ROR:https://ror.org/03angcq70 Birmingham U. Cold Atoms Group, School of Physics and Astronomy, University of Birmingham, Edgbaston, B15 2TT Birmingham, UK Lombriser, Lucas GRID:grid.8591.5 ROR:https://ror.org/01swzsf04 Geneva U., Dept. Theor. Phys. Département de Physique Théorique, Université de Genève, 24 quai Ernest Ansermet, 1211 Genève 4, Switzerland Lopez Asamar, Elias GRID:grid.5515.4 GRID:grid.501798.2 ROR:https://ror.org/01cby8j38 ROR:https://ror.org/01cby8j38 Madrid, Autonoma U. Madrid, IFT Departamento de Física Teórica, Universidad Autónoma de Madrid, 28049 Madrid, Spain Instituto de Fisica Teorica UAM-CSIC, 28049 Madrid, Spain Lopez-Gonzalez, J. Luis GRID:grid.412851.b Sinaloa U. Department of Mathematics and Physics, Autonomous University of Aguascalientes, Av. Universidad 940, 20100 Aguascalientes, Mexico Lu, Chen GRID:grid.5335.0 ROR:https://ror.org/013meh722 Cambridge U. Cavendish Laboratory, University of Cambridge, J. J. Thomson Avenue, CB3 0HE Cambridge, UK Luciano, Giuseppe Gaetano GRID:grid.15043.33 Lleida U. Department of Chemistry, Physics and Environmental and Soil Sciences, Escola Politecninca Superior, Universidad de Lleida, Av. Jaume II, 69, 25001 Lleida, Spain Lundblad, Nathan GRID:grid.252873.9 ROR:https://ror.org/003yn7c76 Bates Coll. Department of Physics and Astronomy, Bates College, Lewiston, Maine, USA de J. López Monjaraz, Cristian ROR:https://ror.org/059sp8j34 CIIDET, Mexico CINVESTAV, IPN Centro de Investigación y de Estudios Avanzados del I. P. N., Unidad Querétaro, Libramiento Norponiente No. 2000, Fracc. Real de Juriquilla, C. P. 76230, Querétaro, Qro., Mexico Lowe, Adam GRID:grid.4991.5 ROR:https://ror.org/052gg0110 Oxford U. Department of Physics, University of Oxford, Parks Road, OX1 3PU Oxford, UK Mackoit-Sinkevičienė, Mažena GRID:grid.6441.7 ROR:https://ror.org/03nadee84 Vilnius, Inst. Theor. Phys. Astron. Institute of Theoretical Physics and Astronomy, Vilnius University, Saulėtekio 3, LT-10257 Vilnius, Lithuania Maggiore, Michele GRID:grid.8591.5 ROR:https://ror.org/01swzsf04 ROR:https://ror.org/01swzsf04 Geneva U. Geneva U., Dept. Theor. Phys. Gravitational Wave Science Center (GWSC), Université de Genève, CH-1211 Geneva, Switzerland Département de Physique Théorique, Université de Genève, 24 quai Ernest Ansermet, 1211 Genève 4, Switzerland Majumdar, Anirban ORCID:0000-0002-1229-7951 GRID:grid.462376.2 ROR:https://ror.org/02rb21j89 IISER, Bhopal Department of Physics, Indian Institute of Science Education and Research - Bhopal, Bhopal Bypass Road, Bhauri, 462066 Bhopal, Madhya Pradesh, India Makris, Konstantinos GRID:grid.4834.b IESL, Heraklion BEC and Matterwave Optics Group, Institute of Electronic Structure and Lasers, Foundation for Research and Technology - Hellas, Nikolaou Plastira 100, 70013 Crete, Greece Maleknejad, Azadeh GRID:grid.13097.3c ROR:https://ror.org/0220mzb33 King's Coll. London Physics Department, King’s College London, Strand, WC2R 2LS London, UK Marchant, Anna L. GRID:grid.76978.37 ROR:https://ror.org/03gq8fr08 Rutherford RAL Space, Rutherford Appleton Laboratory, UKRI-STFC, Fermi Avenue, OX11 OQX Didcot, UK Mariotti, Agnese ORCID:0000-0003-4602-7842 GRID:grid.9122.8 ROR:https://ror.org/0304hq317 Hannover U. Bremen U., ZARM Institute of Theoretical Physics, Leibniz University Hannover, Appelstrasse 2, 30167 Hannover, Germany Markou, Christos GRID:grid.6083.d ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27 & Patr. Grigoriou Street, Ag. Paraskevi Attikis, 15341 Athens, Greece Matthews, Barnaby GRID:grid.76978.37 ROR:https://ror.org/03gq8fr08 Rutherford Harwell Campus, STFC Rutherford Appleton Laboratory, OX11 0QX Didcot, Oxfordshire, UK Mazumdar, Anupam ORCID:0000-0002-0967-8964 GRID:grid.4830.f ROR:https://ror.org/012p63287 U. Groningen, VSI Van Swinderen Institute, University of Groningen, 9747 AG Groningen, The Netherlands McCabe, Christopher GRID:grid.13097.3c ROR:https://ror.org/0220mzb33 King's Coll. London Physics Department, King’s College London, Strand, WC2R 2LS London, UK Meister, Matthias GRID:grid.7551.6 DLR, Berlin Institute of Quantum Technologies, German Aerospace Center (DLR), Wilhelm-Runge-Straße 10, 89081 Ulm, Germany Mentasti, Giorgio GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department, Imperial College London, Prince Consort Road, SW7 2AZ London, UK Menu, Jonathan GRID:grid.5596.f ROR:https://ror.org/05f950310 Leuven U. Institute for Theoretical Physics, KU Leuven, Celestijnenlaan 200D, 3001 Leuven, Belgium Messineo, Giuseppe GRID:grid.6045.7 ROR:https://ror.org/00z34yn88 INFN, Padua Sezione di Padova, Istituto Nazionale di Fisica Nucleare, Via Marzolo 8, 35131 Padova, Italy Meyer-Hoppe, Bernd GRID:grid.7551.6 DLR, Oberpfaffenhofen Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), Institut für Satellitengeodäsie und Inertialsensorik, Callinstraße 30b, 30167 Hannover, Germany Micalizio, Salvatore GRID:grid.425358.d INRIM, Turin Quantum Metrology and Nanotechnologies Division, INRIM, Strada delle Cacce 91, 10135 Torino, Italy Migliaccio, Federica GRID:grid.4643.5 Milan Polytechnic Politecnico di Milano, DICA, Piazza Leonardo da Vinci, 32, 20133 Milan, Italy Millington, Peter ORCID:0000-0001-6942-8257 GRID:grid.5379.8 ROR:https://ror.org/027m9bs27 Manchester U. Department of Physics and Astronomy, University of Manchester, M13 9PL Manchester, UK Milosevic, Milan GRID:grid.11374.30 Nis U. Department of Physics, University of Nis, Nis, Serbia SEENET-MTP Centre, Nis, Serbia Mishra, Abhay GRID:grid.6546.1 ROR:https://ror.org/05n911h24 Darmstadt, Tech. Hochsch. Fachbereich Physik, Institut für Angewandte Physik, Technische Universität Darmstadt, Schlossgartenstrasse 7, 64289 Darmstadt, Germany Mitchell, Jeremiah GRID:grid.5335.0 ROR:https://ror.org/013meh722 Cambridge U. Cavendish Laboratory, University of Cambridge, J. J. Thomson Avenue, CB3 0HE Cambridge, UK Morley, Gavin W. GRID:grid.7372.1 ROR:https://ror.org/01a77tt86 Warwick U. Department of Physics, University of Warwick, CV4 7AL Coventry, UK Mouelle, Noam GRID:grid.5335.0 ROR:https://ror.org/013meh722 Cambridge U. Cavendish Laboratory, University of Cambridge, J. J. Thomson Avenue, CB3 0HE Cambridge, UK Müller, Jürgen GRID:grid.9122.8 ROR:https://ror.org/0304hq317 Leibniz U., Hannover Institute of Geodesy, Leibniz University Hannover, Schneiderberg 50, 30167 Hannover, Germany Newbold, David GRID:grid.76978.37 ROR:https://ror.org/03gq8fr08 Rutherford Harwell Campus, STFC Rutherford Appleton Laboratory, OX11 0QX Didcot, Oxfordshire, UK Ni, Wei-Tou GRID:grid.9227.e Wuhan, MRAMP CAS, APM, Wuhan State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, 430071 Wuhan, China Niehof, Christian GRID:grid.6546.1 ROR:https://ror.org/05n911h24 Darmstadt, Tech. Hochsch. Fachbereich Physik, Institut für Angewandte Physik, Technische Universität Darmstadt, Schlossgartenstrasse 7, 64289 Darmstadt, Germany Noller, Johannes GRID:grid.83440.3b ROR:https://ror.org/02jx3x895 University Coll. London Department of Physics & Astronomy, University College London, WC1E 6BT London, UK Odžak, Senad GRID:grid.11869.37 ROR:https://ror.org/02crff812 Zurich U. Faculty of Science, University of Sarajevo, Zmaja od Bosne 33-35, 71000 Sarajevo, Bosnia and Herzegovina Oi, Daniel K.L. GRID:grid.11984.35 Strathclyde U. SUPA and Department of Physics, University of Strathclyde, G4 0NG Glasgow, UK Oikonomou, Andreas GRID:grid.4834.b IESL, Heraklion BEC and Matterwave Optics Group, Institute of Electronic Structure and Lasers, Foundation for Research and Technology - Hellas, Nikolaou Plastira 100, 70013 Crete, Greece Omar, Yasser GRID:grid.9983.b ROR:https://ror.org/01c27hj86 IST, Lisbon (main) Unlisted, PT Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal Physics of Information and Quantum Technologies Group, Centro de Física e Engenharia de Materiais Avançados (CeFEMA), Lisbon, Portugal PQI – Portuguese Quantum Institute, Lisbon, Portugal Overstreet, Chris GRID:grid.21107.35 ROR:https://ror.org/00za53h95 Johns Hopkins U. Department of Physics and Astronomy, The Johns Hopkins University, 21218 Baltimore, MD, USA Veettil, Vishnupriya Puthiya GRID:grid.4834.b IESL, Heraklion BEC and Matterwave Optics Group, Institute of Electronic Structure and Lasers, Foundation for Research and Technology - Hellas, Nikolaou Plastira 100, 70013 Crete, Greece Pahl, Julia GRID:grid.7468.d ROR:https://ror.org/01hcx6992 Humboldt U., Berlin Institut für Physik and IRIS, Humboldt-Universität zu Berlin, Newtonstrasse 15, 12489 Berlin, Germany Paling, Sean Boulby Underground Lab. Boulby Underground Laboratory, Boulby Mine, TS13 4UZ Saltburn-by-the-Sea, UK Pan, Zhongyin GRID:grid.14467.30 ROR:https://ror.org/03gq8fr08 Rutherford Harwell Campus, Technology, Science and Technology Facilities Council, OX11 0QX Didcot, UK Pappas, George GRID:grid.4793.9 ROR:https://ror.org/02j61yw88 Thessaloniki U. Department of Physics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece Pareek, Vinay GRID:grid.4834.b ROR:https://ror.org/04gnjpq42 Athens U. Foundation for Research and Technology-Hellas (FORTH), 70013 Heraklion, Greece Pasatembou, Elizabeth GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department, Imperial College London, Prince Consort Road, SW7 2AZ London, UK Paternostro, Mauro GRID:grid.10776.37 GRID:grid.4777.3 ROR:https://ror.org/058rvd314 ROR:https://ror.org/00hswnk62 IPhT, Saclay Queen's U., Belfast Dipartimento di Fisica e Chimica - Emilio Segrè, Università degli Studi di Palermo, via Archirafi 36, I-90123 Palermo, Italy Centre for Quantum Materials and Technologies, School of Mathematics and Physics, Queen’s University Belfast, BT7 1NN Belfast, UK Pathak, Vishal K. GRID:grid.4834.b IESL, Heraklion BEC and Matterwave Optics Group, Institute of Electronic Structure and Lasers, Foundation for Research and Technology - Hellas, Nikolaou Plastira 100, 70013 Crete, Greece Pelucchi, Emanuele GRID:grid.7872.a University Coll., Cork Epitaxy and Physics of Nanostructures, Tyndall National Institute, University College Cork, Lee Maltings, Dyke Parade, T12R5CP Cork, Ireland dos Santos, Franck Pereira SYRTE, Paris LNE-SYRTE, Observatoire de Paris, Université PSL, CNRS, Sorbonne Université, Paris, France Peters, Achim GRID:grid.7468.d ROR:https://ror.org/01hcx6992 Humboldt U., Berlin Institut für Physik and IRIS, Humboldt-Universität zu Berlin, Newtonstrasse 15, 12489 Berlin, Germany Pichery, Annie GRID:grid.9122.8 ROR:https://ror.org/0304hq317 Leibniz U., Hannover Institut für Quantenoptik, Leibniz Universität Hannover, Welfengarten 1, 30167 Hannover, Germany Pikovski, Igor GRID:grid.217309.e GRID:grid.10548.38 ROR:https://ror.org/05f0yaq80 ROR:https://ror.org/00g30e956 Stevens Tech. Stockholm U. Hamburg U. SLAC, SSRL Department of Physics, Stevens Institute of Technology, One Castle Point Terrace, 07030 Hoboken, NJ, USA Fysikum, Stockholm University, 106 91 Stockholm, Sweden Pilaftsis, Apostolos ORCID:0000-0001-6217-2711 GRID:grid.5379.8 ROR:https://ror.org/027m9bs27 Manchester U. Department of Physics and Astronomy, University of Manchester, M13 9PL Manchester, UK Pislan, Florentina-Crenguta GRID:grid.450283.8 GRID:grid.5100.4 ROR:https://ror.org/054a6wv56 ROR:https://ror.org/02x2v6p15 Bucharest, Inst. Space Science Bucharest U. Institute of Space Science - INFLPR Subsidiary, 409 Atomistilor street, 077125 Magurele, Ilfov, Romania Faculty of Physics, University of Bucharest, 405 Atomistilor Street, 077125 Magurele, Ilfov, Romania Plunkett, Robert GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, POB 500, 60510 Batavia, IL, USA Poggiani, Rosa GRID:grid.5395.a ROR:https://ror.org/05symbg58 INFN, Pisa Department of Physics “Enrico Fermi”, University of Pisa, Largo Bruno Pontecorvo 3, 56126 Pisa, Italy Prevedelli, Marco GRID:grid.6292.f ROR:https://ror.org/01111rn36 Bologna U. Department of Physics and Astronomy, University of Bologna, Viale Berti-Pichat 6/2, 40126 Bologna, Italy Rafelski, Johann GRID:grid.134563.6 ROR:https://ror.org/03m2x1q45 Arizona U. Department of Physics, The University of Arizona, 85721-0081 Tucson, AZ, USA Raidal, Juhan ORCID:0009-0002-2600-3632 GRID:grid.177284.f ROR:https://ror.org/03eqd4a41 NICPB, Tallinn Keemilise ja bioloogilise füüsika instituut, Rävala pst. 10, 10143 Tallinn, Estonia Raidal, Martti GRID:grid.177284.f ROR:https://ror.org/03eqd4a41 NICPB, Tallinn Keemilise ja bioloogilise füüsika instituut, Rävala pst. 10, 10143 Tallinn, Estonia Rasel, Ernst Maria GRID:grid.9122.8 ROR:https://ror.org/0304hq317 Leibniz U., Hannover Institut für Quantenoptik, Leibniz Universität Hannover, Welfengarten 1, 30167 Hannover, Germany Renaux-Petel, Sébastien GRID:grid.435813.8 ROR:https://ror.org/022bnxw24 Paris, Inst. Astrophys. Institut d’Astrophysique de Paris, 98 bis bd Arago, 75014 Paris, France Richaud, Andrea GRID:grid.6835.8 ROR:https://ror.org/03mb6wj31 Barcelona, Polytechnic U. Departament de Física, Universitat Politècnica de Catalunya, Campus Nord B4-B5, E-08034 Barcelona, Spain Rivero-Antunez, Pedro GRID:grid.4834.b IESL, Heraklion BEC and Matterwave Optics Group, Institute of Electronic Structure and Lasers, Foundation for Research and Technology - Hellas, Nikolaou Plastira 100, 70013 Crete, Greece Rodzinka, Tangui GRID:grid.15781.3a LCAR, Toulouse Laboratoire Collisions Agrégats Réactivité UMR5589, University of Toulouse III Paul Sabatier CNRS, 118 Route de Narbonne, Toulouse, France Roura, Albert GRID:grid.7551.6 DLR, Berlin Institute of Quantum Technologies, German Aerospace Center (DLR), Wilhelm-Runge-Straße 10, 89081 Ulm, Germany Rudolph, Jan GRID:grid.168010.e GRID:grid.417851.e ROR:https://ror.org/00f54p054 ROR:https://ror.org/020hgte69 Stanford U., Phys. Dept. Fermilab Department of Physics, Stanford University, 94305 Stanford, California, USA Fermi National Accelerator Laboratory, POB 500, 60510 Batavia, IL, USA Sabulsky, Dylan SYRTE, Paris LNE-SYRTE, Observatoire de Paris, Université PSL, CNRS, Sorbonne Université, Paris, France Safronova, Marianna S. GRID:grid.33489.35 ROR:https://ror.org/01sbq1a82 Delaware U. Department of Physics and Astronomy, University of Delaware, 19716 Delaware, USA Sakellariadou, Mairi GRID:grid.13097.3c ROR:https://ror.org/0220mzb33 King's Coll. London Physics Department, King’s College London, Strand, WC2R 2LS London, UK Salvi, Leonardo GRID:grid.470204.5 ROR:https://ror.org/04jr1s763 Florence U. Florence U., LENS Dipartimento di Fisica e Astronomia and LENS, Università di Firenze, INFN Sezione di Firenze, via Sansone 1, I-50019 Sesto Fiorentino (FI), Italy Sameed, Muhammed GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, CH-1211 Geneva 23, Switzerland Sarkar, Sumit GRID:grid.7177.6 Amsterdam U., Zeeman Lab. Van der Waals-Zeeman Institute, Institute of Physics, University of Amsterdam, Science Park 904, 1098XH Amsterdam, The Netherlands Schach, Patrik GRID:grid.6546.1 ROR:https://ror.org/05n911h24 Darmstadt, Tech. Hochsch. Fachbereich Physik, Institut für Angewandte Physik, Technische Universität Darmstadt, Schlossgartenstrasse 7, 64289 Darmstadt, Germany Schäffer, Stefan Alaric GRID:grid.5254.6 ROR:https://ror.org/035b05819 Bohr Inst. Niels Bohr Institute, University of Copenhagen, Blegdamsvej 17, 2100 Copenhagen, Denmark Schelfhout, Jesse GRID:grid.4991.5 ROR:https://ror.org/052gg0110 Oxford U. Department of Physics, University of Oxford, Parks Road, OX1 3PU Oxford, UK Schilling, Manuel GRID:grid.7551.6 DLR, Oberpfaffenhofen Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), Institut für Satellitengeodäsie und Inertialsensorik, Callinstraße 30b, 30167 Hannover, Germany Schkolnik, Vladimir GRID:grid.7468.d ROR:https://ror.org/01hcx6992 Humboldt U., Berlin Institut für Physik and IRIS, Humboldt-Universität zu Berlin, Newtonstrasse 15, 12489 Berlin, Germany Schleich, Wolfgang P. GRID:grid.6582.9 Ulm U. Institut für Quantenphysik and Center for Integrated Quantum Science and Technology (IQST), Universität Ulm, Albert-Einstein-Allee 11, D-89081 Ulm, Germany Schlippert, Dennis GRID:grid.9122.8 ROR:https://ror.org/0304hq317 Leibniz U., Hannover Institut für Quantenoptik, Leibniz Universität Hannover, Welfengarten 1, 30167 Hannover, Germany Schneider, Ulrich GRID:grid.5335.0 ROR:https://ror.org/013meh722 Cambridge U. Cavendish Laboratory, University of Cambridge, J. J. Thomson Avenue, CB3 0HE Cambridge, UK Schreck, Florian GRID:grid.7177.6 GRID:grid.503021.5 ROR:https://ror.org/00x7ekv49 Amsterdam U., Zeeman Lab. Amsterdam, CWI Van der Waals-Zeeman Institute, Institute of Physics, University of Amsterdam, Science Park 904, 1098XH Amsterdam, The Netherlands QuSoft, Science Park 123, 1098XG Amsterdam, The Netherlands Schwartzman, Ariel GRID:grid.445003.6 ROR:https://ror.org/05gzmn429 SLAC SLAC National Accelerator Laboratory, 2575 Sand Hill Road, 94025 Menlo Park, California, USA Schwersenz, Nico GRID:grid.7551.6 DLR, Berlin Institute of Quantum Technologies, German Aerospace Center (DLR), Wilhelm-Runge-Straße 10, 89081 Ulm, Germany Sergijenko, Olga GRID:grid.440361.4 GRID:grid.9922.0 ROR:https://ror.org/02xp2c270 ROR:https://ror.org/00bas1c41 Kiev Observ. AGH-UST, Cracow Main Astronomical Observatory of the National Academy of Sciences of Ukraine, Zabolotnoho str., 27, 03143 Kyiv, Ukraine AGH University of Krakow, Aleja Mickiewicza, 30, 30-059 Krakow, Poland Sfar, Haifa Rejeb GRID:grid.273335.3 ROR:https://ror.org/01y64my43 SUNY, Buffalo Department of Physics, University at Buffalo, State University of New York, Fronczak Hall, 239, 14260 Buffalo, NY, USA Shao, Lijing ORCID:0000-0002-1334-8853 GRID:grid.11135.37 Peking U., Beijing, KIAA Kavli Institute for Astronomy and Astrophysics, Peking University, 100871 Beijing, China Shipsey, Ian GRID:grid.4991.5 ROR:https://ror.org/052gg0110 Oxford U. Department of Physics, University of Oxford, Parks Road, OX1 3PU Oxford, UK Shu, Jing GRID:grid.11135.37 ROR:https://ror.org/02v51f717 Peking U., Beijing, KIAA Peking U., SKLNPT BIMSA, Beijing Kavli Institute for Astronomy and Astrophysics, Peking University, 100871 Beijing, China School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, 100871 Beijing, China Beijing Laser Acceleration Innovation Center, Huairou, 101400 Beijing, China Singh, Yeshpal GRID:grid.6572.6 ROR:https://ror.org/03angcq70 Birmingham U. Cold Atoms Group, School of Physics and Astronomy, University of Birmingham, Edgbaston, B15 2TT Birmingham, UK Sopuerta, Carlos F. GRID:grid.450286.d GRID:grid.435450.3 ROR:https://ror.org/052g8jq94 ROR:https://ror.org/01vbgty78 ICE, Bellaterra Barcelona, IEEC Campus UAB, Institut de Ciències de l’Espai (ICE-CSIC), Carrer de Can Magrans s/n, 08193 Cerdanyola del Vallès, Spain Institut d’Estudis Espacials de Catalunya (IEEC), Edifici RDIT, C/ Esteve Terradas, 1, desp. 212, 08860 Castelldefels, Spain Sorba, Marianna GRID:grid.5970.b ROR:https://ror.org/004fze387 SISSA, Trieste SISSA, Via Bonomea 265, 34136 Trieste, Italy Sorrentino, Fiodor GRID:grid.6045.7 ROR:https://ror.org/02v89pq06 INFN, Genoa Sezione di Genova, Istituto Nazionale di Fisica Nucleare, Genova, Italy Spallicci, Alessandro D.A. M. GRID:grid.112485.b LPC2E, Orleans Laboratoire de Physique et Chimie de l’Environnement et de l’Espace, Université d’Orléans, 3A Avenue de la Recherche Scientifique, 45071 Orléans, France Stefanescu, Petruta GRID:grid.450283.8 ROR:https://ror.org/054a6wv56 Bucharest, Inst. Space Science Institute of Space Science - INFLPR Subsidiary, 409 Atomistilor street, 077125 Magurele, Ilfov, Romania Stergioulas, Nikolaos GRID:grid.4793.9 ROR:https://ror.org/02j61yw88 Thessaloniki U. Department of Physics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece Stoerk, Daniel GRID:grid.6582.9 Ulm U. Institut für Quantenphysik and Center for Integrated Quantum Science and Technology (IQST), Universität Ulm, Albert-Einstein-Allee 11, D-89081 Ulm, Germany Sunilkumar, Hrudya Thaivalappil GRID:grid.7468.d ROR:https://ror.org/01hcx6992 Humboldt U., Berlin Institut für Physik and IRIS, Humboldt-Universität zu Berlin, Newtonstrasse 15, 12489 Berlin, Germany Ströhle, Jannik GRID:grid.6582.9 Ulm U. Institut für Quantenphysik and Center for Integrated Quantum Science and Technology (IQST), Universität Ulm, Albert-Einstein-Allee 11, D-89081 Ulm, Germany Tam, Zoie GRID:grid.76978.37 ROR:https://ror.org/03gq8fr08 Rutherford Harwell Campus, STFC Rutherford Appleton Laboratory, OX11 0QX Didcot, Oxfordshire, UK Tandon, Dhruv GRID:grid.168010.e ROR:https://ror.org/00f54p054 Stanford U., Phys. Dept. Department of Physics, Stanford University, 94305 Stanford, California, USA Tang, Yijun GRID:grid.5335.0 ROR:https://ror.org/013meh722 Cambridge U. Cavendish Laboratory, University of Cambridge, J. J. Thomson Avenue, CB3 0HE Cambridge, UK Tell, Dorothee GRID:grid.450272.6 ROR:https://ror.org/01vekys64 Munich, Max Planck Inst. Quantenopt. Max-Planck-Institut für Quantenoptik, Hans-Kopfermann-Strasse 1, 85748 Garching, Germany Tempere, Jacques GRID:grid.5284.b ROR:https://ror.org/008x57b05 Antwerp U. U. Antwerp (main) TQC, Physics Department, Universiteit Antwerpen, Universiteitsplein 1, B-2610 Antwerpen, Belgium Temples, Dylan J. ORCID:0000-0001-6017-254X GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, POB 500, 60510 Batavia, IL, USA Thampy, Rohit P. GRID:grid.4834.b ROR:https://ror.org/04gnjpq42 Athens U. Foundation for Research and Technology-Hellas (FORTH), 70013 Heraklion, Greece Tietje, Ingmari C. GRID:grid.7468.d ROR:https://ror.org/01hcx6992 Humboldt U., Berlin Institut für Physik and IRIS, Humboldt-Universität zu Berlin, Newtonstrasse 15, 12489 Berlin, Germany Tino, Guglielmo M. GRID:grid.470204.5 ROR:https://ror.org/04jr1s763 Florence U. Florence U., LENS Dipartimento di Fisica e Astronomia and LENS, Università di Firenze, INFN Sezione di Firenze, via Sansone 1, I-50019 Sesto Fiorentino (FI), Italy Tinsley, Jonathan N. GRID:grid.10025.36 ROR:https://ror.org/04xs57h96 Liverpool U. Department of Physics, University of Liverpool, L69 7ZE Merseyside, UK Mircea, Ovidiu Tintareanu GRID:grid.450283.8 ROR:https://ror.org/054a6wv56 Bucharest, Inst. Space Science Institute of Space Science - INFLPR Subsidiary, 409 Atomistilor street, 077125 Magurele, Ilfov, Romania Tkalčec, Kimberly GRID:grid.5335.0 ROR:https://ror.org/013meh722 Cambridge U. Cavendish Laboratory, University of Cambridge, J. J. Thomson Avenue, CB3 0HE Cambridge, UK Tolley, Andrew J. GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department, Imperial College London, Prince Consort Road, SW7 2AZ London, UK Tornatore, Vincenza GRID:grid.4643.5 Milan Polytechnic Politecnico di Milano, DICA, Piazza Leonardo da Vinci, 32, 20133 Milan, Italy Torres-Orjuela, Alejandro BIMSA, Beijing Beijing Institute of Mathematical Sciences and Applications, 101408 Beijing, China Treutlein, Philipp GRID:grid.6612.3 ROR:https://ror.org/02s6k3f65 Basel U. Department of Physics, University of Basel, Klingelbergstrasse 82, 4056 Basel, Switzerland Trombettoni, Andrea GRID:grid.5133.4 ROR:https://ror.org/004fze387 SISSA, Trieste Department of Physics, University of Trieste, Strada Costiera 11, 34151 Trieste, Italy Ufrecht, Christian GRID:grid.469823.2 ROR:https://ror.org/024ape423 Fraunhofer Inst., Erlangen Self-Learning Systems Group, Fraunhofer IIS, Nuremberg, Bavaria, Germany Urrutia, Juan GRID:grid.177284.f GRID:grid.6988.f ROR:https://ror.org/03eqd4a41 NICPB, Tallinn Keemilise ja bioloogilise füüsika instituut, Rävala pst. 10, 10143 Tallinn, Estonia Departament of Cybernetics, Tallinn University of Technology, Akadeemia tee 21, 12618 Tallinn, Estonia Valenzuela, Tristan GRID:grid.76978.37 ROR:https://ror.org/03gq8fr08 Rutherford RAL Space, Rutherford Appleton Laboratory, UKRI-STFC, Fermi Avenue, OX11 OQX Didcot, UK Valerio, Linda R. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab Fermi National Accelerator Laboratory, POB 500, 60510 Batavia, IL, USA van der Grinten, Maurits GRID:grid.76978.37 ROR:https://ror.org/03gq8fr08 Rutherford Harwell Campus, STFC Rutherford Appleton Laboratory, OX11 0QX Didcot, Oxfordshire, UK Vaskonen, Ville ORCID:0000-0003-0003-2259 GRID:grid.177284.f GRID:grid.6045.7 GRID:grid.5608.b ROR:https://ror.org/03eqd4a41 ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 NICPB, Tallinn INFN, Padua Padua U. Keemilise ja bioloogilise füüsika instituut, Rävala pst. 10, 10143 Tallinn, Estonia Sezione di Padova, Istituto Nazionale di Fisica Nucleare, Via Marzolo 8, 35131 Padova, Italy Dipartimento di Fisica e Astronomia, Università degli Studi di Padova, Via Marzolo 8, 35131 Padova, Italy Vázquez-Aceves, Verónica GRID:grid.11135.37 Peking U., Beijing, KIAA Kavli Institute for Astronomy and Astrophysics, Peking University, 100871 Beijing, China Veermäe, Hardi GRID:grid.177284.f ROR:https://ror.org/03eqd4a41 NICPB, Tallinn Keemilise ja bioloogilise füüsika instituut, Rävala pst. 10, 10143 Tallinn, Estonia Vetrano, Flavio ROR:https://ror.org/04q4kt073 ROR:https://ror.org/02vv5y108 U. Urbino (main) INFN, Florence Virgo Group, DiSPeA, Carlo Bo University, Via S. Chiara 27, 61029 Urbino, PU, Italy Vitanov, Nikolay V. GRID:grid.11355.33 ROR:https://ror.org/02jv3k292 Sofiya U. Center for Quantum Technologies, Faculty of Physics, Sofia University, 5 James Bourchier blvd., 1164 Sofia, Bulgaria von Klitzing, Wolf GRID:grid.4834.b IESL, Heraklion BEC and Matterwave Optics Group, Institute of Electronic Structure and Lasers, Foundation for Research and Technology - Hellas, Nikolaou Plastira 100, 70013 Crete, Greece Wald, Sebastian GRID:grid.33565.36 Unlisted, AT Institute of Science and Technology Austria, Klosterneuburg, Austria Walker, Thomas GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London Physics Department, Imperial College London, Prince Consort Road, SW7 2AZ London, UK Walser, Reinhold GRID:grid.6546.1 ROR:https://ror.org/05n911h24 Darmstadt, Tech. Hochsch. Institute for Applied Physics, Technical University of Darmstadt, Hassia, Darmstadt, Germany Wang, Jin GRID:grid.9227.e Wuhan, MRAMP CAS, APM, Wuhan State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, 430071 Wuhan, China Wang, Yan GRID:grid.5337.2 ROR:https://ror.org/0524sp257 Bristol U. School of Civil, Aerospace and Design Engineering, University of Bristol, BS81TR, Bristol, UK Weidner, C.A. GRID:grid.5337.2 ROR:https://ror.org/0524sp257 Bristol U. Quantum Engineering Technology Laboratories, H. H. Wills Physics Laboratory and Department of Electrical and Electronic Engineering, University of Bristol, BS8 1FD Bristol, UK Wenzlawski, André GRID:grid.5802.f ROR:https://ror.org/023b0x485 Mainz U. Johannes Gutenberg University, Staudingerweg 7, 55128 Mainz, Germany Werner, Michael GRID:grid.9122.8 ROR:https://ror.org/0304hq317 Leibniz U., Hannover Institut für Quantenoptik, Leibniz Universität Hannover, Welfengarten 1, 30167 Hannover, Germany Wörner, Lisa GRID:grid.7551.6 DLR, Oberpfaffenhofen Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), Institut für Satellitengeodäsie und Inertialsensorik, Callinstraße 30b, 30167 Hannover, Germany Yahia, Mohamed E. ROR:https://ror.org/00e5k0821 New York U., Abu Dhabi Abu Dhabi Polytechnic, Institute of Applied Technology, 111499, Abu Dhabi, UAE Yazgan, Efe GRID:grid.19188.39 ROR:https://ror.org/05bqach95 Taiwan, Natl. Taiwan U. Department of Physics, National Taiwan University, No. 1 Sec. 4 Roosevelt Road Taipei, 10617 Taipei, Taiwan Cruzeiro, Emmanuel Zambrini GRID:grid.421174.5 ROR:https://ror.org/01c27hj86 Lisbon U. Instituto de Telecomunicações, Av. Rovisco Pais 1, 1049-001 Lisbon, Portugal Zarei, M. GRID:grid.411751.7 ROR:https://ror.org/00af3sa43 Isfahan Tech. U. Department of Physics, Isfahan University of Technology, 84156-83111, Isfahan, Iran Zhan, Mingsheng GRID:grid.9227.e Wuhan, MRAMP CAS, APM, Wuhan State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, 430071 Wuhan, China Zhang, Shengnan GRID:grid.5335.0 ROR:https://ror.org/013meh722 Cambridge U. Cavendish Laboratory, University of Cambridge, J. J. Thomson Avenue, CB3 0HE Cambridge, UK Zhou, Lin GRID:grid.9227.e Wuhan, MRAMP CAS, APM, Wuhan State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, 430071 Wuhan, China Zupanič, Erik GRID:grid.445211.7 ROR:https://ror.org/05060sz93 ROR:https://ror.org/05njb9z20 Stefan Inst., Ljubljana Ljubljana U. Jožef Stefan Institute, Jamova 39, SI-1000 Ljubljana, Slovenia AtomQL, Ajdovscina 1, SI-1000 Ljubljana, Slovenia C24-04-03.2 https://lss.fnal.gov/archive/2024/conf/fermilab-conf-24-0955-ad-etd.pdf Fermilab Library Server 2702668 4040090 http://cds.cern.ch/record/2920616/files/sites-zaiga.png 00038 Layout of the proposed TVLBAI array at ZAIGA~\cite{Zhan2019}. 2702669 26813238 http://cds.cern.ch/record/2920616/files/2412.14960.pdf Fulltext 2702670 260353 http://cds.cern.ch/record/2920616/files/SLI_diagram_simple.png 00033 A diagram of a one-dimensional shaken lattice interferometry protocol designed to measure accelerations along the lattice axis. The atoms start in the ground Bloch state of the lattice (as indicated by the momentum state on the right). They then undergo splitting into the $\pm2\hbar k_\mathrm{L}$ state for some time before the protocol is run in reverse, reflecting and then recombining the atoms. In the absence of an applied acceleration potential $U_\mathrm{a} = max, a = 0$, the atoms will be recombined into their original state, but if $a\neq 0$, the atoms' final state will change, and it is this signal that we detect, e.g., through time-of-flight measurements. Parts of this figure adapted with permission from Ref.~\cite{weidner2018}. 2702671 43562 http://cds.cern.ch/record/2920616/files/teff.png 00020 \textit{Upper panels:} The expected total number of AGNs at $z>2$ and the expected dual AGN fraction at $z>3$ as functions of the environmental parameters. \textit{Lower panel:} Illustration of the timescales of the environmental energy loss mechanisms of SMBH binaries as functions of their separations for the same parameter values as in the upper panels. The vertical bands illustrate the separation ranges probed by the PTAs and by the JWST dual AGN observations. The color coding of the curves matches that shown in the upper panels. From~\cite{Ellis:2024wdh}. 2702672 97078 http://cds.cern.ch/record/2920616/files/et_lisa_bbh.png 00015 Model predictions for the distribution of binary black hole (BBH) coalescence events in the redshift $z$--$m_{\rm BH,T}$ diagram~\cite{Valiante:2020zhj}, where $m_{\rm BH,T}$ is the total BBH mass. The data points describe cosmologically-driven BH mergers. Grey triangles, blue squares and red circles denote the total masses and redshifts of the coalescences from a simulation forming a $\sim 10^{9} M_{\odot}$ SMBH at $z_{\rm QSO}= 6.4$, $2$ and $0.2$ (represented with stars in the plot). Symbols with white edges indicate mergers involving at least one heavy seed. Color-coded areas represent lines of constant signal-to-noise ratios for ET (yellow/red) and LISA (azure/blue) computed for non-spinning binaries assuming a mass ratio $q=0.5$, which corresponds to the mean value of the merging binaries extracted from our samples. Taken from~\cite{Valiante:2020zhj}. 2702673 9922 http://cds.cern.ch/record/2920616/files/MZ_Optics.png 00005 Left: Conceptual outline of a Mach-Zehnder laser interferometer~\cite{zehnder1891neuer,mach1892ueber}. Right: Conceptual outline of an analogous atom interferometer. Atoms in the ground state, $\ket{g}$, are represented by solid blue lines, the dashed red lines represent atoms in the excited state, $\ket{e}$, and laser pulses are represented by wavy lines. From~\cite{Buchmueller2023}. 2702674 42471 http://cds.cern.ch/record/2920616/files/BFplotsbig.png 00004 Extension of fits to current NANOGrav PTA data~\cite{NANOGrav:2023hde} (grey ``violins") to higher frequencies, indicating the prospective sensitivities to the fractional cosmological energy density of gravitational waves of LVK and planned and proposed future detectors including LISA, AION and AEDGE. For clarity, we include only the first four and the eighth NANOGrav data bins, which have the largest impact on fit quality. The green band extends the green supermassive black hole (SMBH) binary ``violins" in the PTA range to higher frequencies, and shows the mean GW energy density spectrum from SMBH binaries heavier than $10^3 M_\odot$ for $p_{\rm BH} = 0.25 - 1$. Individual SMBH binaries are expected to be measurable in this frequency range. From~\cite{Ellis2023b}. 2702675 141036 http://cds.cern.ch/record/2920616/files/Foot-RB.png 00044 a) Schematic spacetime diagram of a \RB scheme. The ground (excited) state is shown with a solid (dashed) lines. b) Schematic spacetime diagram of an enhanced \RB atom interferometer with $N=3$ and $M=2$ pulses shown. c) Optimal trajectories for the `X' configuration for a 5m atom interferometer. The vertical dotted lines represent the $\pi/2$-pulses and the horizontal lines bound the interferometry region [0.2m, 4.8m]. d) Optimal trajectories for the Fountain configuration with atomic sources at 0 \& 5m and vertical dotted lines represent the $\pi/2$-pulses, with the final pulse at $t=2$s. Figures from \cite{schelfhout2024single}. 2702676 423067 http://cds.cern.ch/record/2920616/files/sites-porta_alpina.png 00036 Longitudinal section of the Gotthard Base Tunnel, showing the location of the two 800 m shafts at the Sedrun access site. 2702677 28972 http://cds.cern.ch/record/2920616/files/clade_figure_FCAI.png 00045 Schematic of the experimental setup: the pico-second laser is split in two, with one part passing through an acousto-optic modulator and a delay line. This device controls both the delay and the phase between the two pulse trains. The diagram on the right shows the trajectory of the overlap zone in an interferometer in a gravimeter configuration. Figure taken from~\cite{debavelaere2024}. 2702678 4381426 http://cds.cern.ch/record/2920616/files/ELGAR.png 00010 Schematic illustrations of (a) the vertical atom interferometer, VLBAI, located in Hannover (from~\cite{Schilling2020}) and (b) the horizontal geometry of the proposed ELGAR detector (from~\cite{Canuel2020}). 2702679 177046 http://cds.cern.ch/record/2920616/files/workshop_participants.png 00000 Statistics of the geographical distribution of the home institutions of the 276 participants who registered for the Workshop. From~\cite{2ndTVLBAIWorkshop}. 2702680 77783 http://cds.cern.ch/record/2920616/files/ProposedDesign.png 00040 Left: The proposed conceptual design of the support structure for AION-10. Right: 1/3-scale prototype of the frame for one of the main modules, used to validate the modal and response analysis model. 2702681 61631 http://cds.cern.ch/record/2920616/files/three-photon.png 00022 (a) The singlet and triplet states of $^{88}$Sr and the relevant transition wavelength connecting the atomic states, and the three-photon transition between $^1\mathrm{S}_0$ and $^3\mathrm{P}_0$ that uses laser light at 689~nm (magenta), 688~nm (purple), and 679~nm (blue). (b) Energy levels involved in the three-photon transition with Zeeman sublevels $m$ in the presence of a magnetic field, causing a relative shift $\delta\omega_B$. The polarizations of the optical fields are linear, with 689~nm\,($\Omega_1$) and 688~nm\,($\Omega_2$) normal, and 679~nm\,($\Omega_3$) parallel to the quantization axis. Cumulative frequency detunings of the lasers from the respective $m=0$ states are denoted by $\Delta_1$, $\Delta_2$, and $\Delta_3$. (c) Line scan of the three-photon transition showing the fractional excited state population versus the cumulative laser detuning $\Delta_3$, using $\Delta_{1}/2\pi = 9.95(1)~\text{MHz}$, $\Delta_2/2\pi = -2.54~\text{GHz}$, and $\delta\omega_{B}/2\pi = 21.13(1)~\text{MHz}$ \cite{carman2024collinear}. (d) Rabi oscillation at the measured three-photon resonance frequency, showing the fractional excited state populations versus the pulse duration \cite{carman2024collinear}. Circles, triangles, and squares indicate the population in the states ${^3\mathrm{P}_0}$, ${^3\mathrm{P}_1}$, and ${^3\mathrm{P}_2}$, respectively. The fit (solid curve) is an exponentially damped sinusoid with a frequency of $29.9(2)~\text{kHz}$. From~\cite{carman2024collinear}. 2702682 27994 http://cds.cern.ch/record/2920616/files/EntangledGravimeter.png 00030 Operation of the entanglement-enhanced gravimeter. (a) A two-mode squeezed vacuum is generated in the $|1,\text{sym}\rangle=\frac{1}{\sqrt{2}}\left( |1,+1\rangle + |1,-1\rangle \right)$ state by spin-mixing dynamics (dark green). This process is activated by a microwave (mw; orange) dressing field that counteracts the quadratic Zeeman shift. (b) Employing circularly-polarized radiofrequency (rf; purple) and microwave pulses, single-mode squeezing is transferred to the magnetically-insensitive clock states. Steps (a) and (b) happen in internal states of the atoms. (c) An interferometric sequence is created by microwave $\pi/2$ pulses. Raman-laser (R; red) $\pi$ pulses transfer $\hbar k_\text{eff}$ momentum and render the interferometer sensitive to gravity. 2702683 357494 http://cds.cern.ch/record/2920616/files/Prototype.png 00041 Left: The proposed conceptual design of the support structure for AION-10. Right: 1/3-scale prototype of the frame for one of the main modules, used to validate the modal and response analysis model. 2702684 307440 http://cds.cern.ch/record/2920616/files/aion_bbh.png 00012 Sensitivities of proposed TVLBAI observatories (AION 100m and AION km) to intermediate mass black hole binaries. The figures show the distance at which the observatory would observe the GW signal from a merging black hole binary of a given total mass as a function of the observed signal to noise ratio. The sensitivities are generated assuming optimistic noise curves with fully subtracted gravity gradient noise. From~\cite{Badurina2020}. 2702685 557205 http://cds.cern.ch/record/2920616/files/gupta_fig.png 00023 (a) Bloch bands (solid lines) for a sinusoidal optical lattice with a representative depth of $U_0 = 10 E_r$. Dotted lines represent the quadratic free-space dispersion. (b) Average energy over one Brillouin zone of the ground and first two excited bands. The magic depth for each excited band is at its respective local extremum. The ground band does not exhibit any magic depth feature. (c) Observed Mach-Zehnder AI signals with single-BO-acceleration applied at the magic depth for $b=1$ (blue) and for a similar depth for $b=0$ (d) Calculated time per BO ($T_{\rm BO}$) in units of the inverse recoil ($272\,\mu$s for Yb) for operation at 99.9\% efficiency as a function of depth for ground band (red curve) and at the magic depth for excited bands $b$ = 1 to 10 (blue markers joined by lines). (e) Calculated phase noise from 0.5\% intensity noise for the ground band (red curve) and at the magic depth for excited bands $b$ = 1 to 10 (blue markers joined by lines), evaluated at the parameters of (d). 2702686 84707 http://cds.cern.ch/record/2920616/files/poster_session_participants.png 00046 Statistics of the geographical distribution of the poster presenters' home institutions. 2702687 99741 http://cds.cern.ch/record/2920616/files/gw_sensitivity.png 00011 Sensitivity of existing and planned GW observatories, and potential GW sources. The y-axis shows the ``characteristic strain'' which is normalized so that the relative height of the signal above the detector sensitivity provides an estimate of the contribution to the signal to noise ratio. The figure shows a clear gap in instrumental sensitivity in the deci-Hertz range, from $0.1-1\mathrm{Hz}$, where the existing detectors do not have sensitivity. Figure generated by S.~Fairhurst using {\tt GWPlotter}~\cite{Moore:2014lga}. 2702688 56568 http://cds.cern.ch/record/2920616/files/measurements.png 00017 Prospective accuracies for measurements of binary parameters (distance, redshift and chirp mass): The upper and lower panels correspond to two binaries whose component masses are fixed. In the left panels, the binary is observed for the last 1 year and the errors are shown as functions of redshift. In the right panels, $z=1$ and the errors are shown as a function of the binary coalescence time at the beginning of a one-year observation. The errors for the masses of the both BHs are almost the same. From~\cite{Ellis:2023iyb}. 2702689 51368 http://cds.cern.ch/record/2920616/files/events_2.png 00019 \textit{Left panel:} The expected numbers of binaries detectable by a 1-km TVLBAI (AION), AEDGE and LISA during a year of observation, as functions of $m_{\rm cut}$. The solid curves show all detectable binaries whereas the dotted curves for AEDGE and LISA show only those for which the last 1 minute of the merger is seen: the last minutes of all mergers are seen by AION. \textit{Middle and right panels:} Explicit examples of the detectable binaries for a light-seed and a heavy-seed scenario. The sizes of the dots are $\propto \ln[ {\rm SNR}^{-1}]$ with the minimum size corresponding to ${\rm SNR}=10^4$ and the maximal to ${\rm SNR}=10$. The darker dots correspond to binaries for which the last 1 minute of the merger is seen. From~\cite{Ellis:2023iyb}. 2702690 41078 http://cds.cern.ch/record/2920616/files/hosten_protocol.png 00027 The travelling wave cavity and the simplified experimental protocol used in~\cite{Hosten2016}. 2702691 23827 http://cds.cern.ch/record/2920616/files/MomentumKickp0.png 00007 Every photon carries a momentum $p=\hbar k$ and, upon absorption of the photon, its momentum is transferred to the atom. This forms the basis for manipulating atomic momentum with resonant light. From~\cite{Buchmueller2023}. 2702692 23712 http://cds.cern.ch/record/2920616/files/Optical_transport.png 00026 (a) Schematic drawing of an illustrative two-chamber vacuum systems: the chamber on the left is used for pre-cooling atoms in a magneto-optical trap (MOT), while the second one (glass cell) is used for quantum simulation experiments, which require large optical access. Atoms are transported between the two sections using a running-wave optical lattice that is generated by interfering a Bessel-type and a Gaussian laser beam. The velocity $v$ and the acceleration are controlled by the relative frequency detuning $\Delta\omega$. (b) Round-trip transport efficiency measured as a function of the acceleration, consistent with a one-way transport efficiency of $\sim 75\%$ for the full distance of $43\,$cm. Figure adapted from~\cite{klostermann_fast_2022}. 2702693 254854 http://cds.cern.ch/record/2920616/files/Multigradiometer.png 00008 Schematic representation of a gradiometer with multiple atom interferometers. The left panel illustrates the spacetime diagram of one of the atom interferometers with $n = 4$ LMT kicks. The atoms' excited ($|e\rangle$) and ground ($|g\rangle$) states are shown in dark and light blue, respectively, and $\pi/2-$ and $\pi-$pulses are displayed as wavy purple and red lines. The right panel shows how a series of such atom interferometers may be spaced within a single vertical vacuum tube of length $L$, forming multiple atom gradiometers that combine the atom interferometers $i,j$, labelled as AG$-(i,j)$. From~\cite{Badurina:2022ngn}. 2702694 43955 http://cds.cern.ch/record/2920616/files/p_Rcorgier_DKS.png 00029 Principle of the delta-kick squeezing protocol proposed in Ref.~\cite{Corgier21b}. Top: step preparation of a spin-squeezed state thanks to the combination of an atomic lens aiming to focus the BEC and a Mach-Zehnder interferometer. Bottom: Evolution of the size of the BEC. 2702695 1062944 http://cds.cern.ch/record/2920616/files/Hannover.png 00009 Schematic illustrations of (a) the vertical atom interferometer, VLBAI, located in Hannover (from~\cite{Schilling2020}) and (b) the horizontal geometry of the proposed ELGAR detector (from~\cite{Canuel2020}). 2702696 535258 http://cds.cern.ch/record/2920616/files/Beecroft.png 00039 Illustration of the Beecroft Building of the Oxford Physics Department where AION-10 is to be installed in the basement stairwell~\cite{HawkinsBrown2019}. 2702697 457041 http://cds.cern.ch/record/2920616/files/LISA-Bayle.png 00016 Illustration of the GW science capabilities of LISA, featuring sources including mergers of SMBH binaries of masses $10^7, 10^6$ and $10^5$ solar masses at redshifts $z =3$ (from left to right), extreme mass-ratio infall (EMRI) events, verified and resolved galactic binaries, the confusion noise from unresolved binaries, and early stages of LIGO-type stellar-mass binaries. Adapted from~\cite{AmaroSeoane2017}. 2702698 50986 http://cds.cern.ch/record/2920616/files/fig_Floquet_v2.png 00021 The initial momentum state, $|p_0\rangle$, is prepared in a Floquet state, $|w_0\rangle$, associated with the specific periodic evolution of the optical lattice. The preparation sequence (OC-1) is obtained using optimal control theory (OCT). At the end of the sequence, the state $|w_0\rangle$ is transformed back to the accelerated momentum state (OC-2). 2702699 1017123 http://cds.cern.ch/record/2920616/files/sites-boulby.png 00035 Proposed design for a vertical 100 m TVLBAI experiment in the Boulby Mine tailings shaft. Existing water pipes are indicated in yellow. 2702700 15546 http://cds.cern.ch/record/2920616/files/MZ_Atoms.png 00006 Left: Conceptual outline of a Mach-Zehnder laser interferometer~\cite{zehnder1891neuer,mach1892ueber}. Right: Conceptual outline of an analogous atom interferometer. Atoms in the ground state, $\ket{g}$, are represented by solid blue lines, the dashed red lines represent atoms in the excited state, $\ket{e}$, and laser pulses are represented by wavy lines. From~\cite{Buchmueller2023}. 2702701 42600 http://cds.cern.ch/record/2920616/files/Quantum_gas_microscope.png 00025 Schematic drawing of an illustrative quantum gas microscope setup for $^{133}$Cs atoms. Atoms are confined in a single node of a vertical lattice and a square optical lattice with the Hubbard parameters tunnel coupling $J$ and on-site interaction $U$. For fluorescence imaging near-detuned molasses laser beams at $852\,$nm are employed which simultaneously cool the atoms. The scattered photons are collected with a high numerical aperture (NA) objective. Potential shaping is performed using incoherent light at $525\,$nm and a digital micromirror device (DMD). Upper left: fluorescence image of $^{133}$Cs atoms trapped in a square optical lattice with constant $767\,$nm. Figure adapted from~\cite{impertro_unsupervised_2023}. 2702702 131879 http://cds.cern.ch/record/2920616/files/coriolis_compensation_overview.png 00031 Overview of Coriolis force compensation for long baseline atom interferometry. (a) A schematic (not to scale) of the optical setup associated with the Coriolis force compensation method. A mirror prior to the beam expanding telescope (M1) rotates simultaneously with a mirror at the other end of the interferometer baseline (M2) during an interferometer sequence. The pivot point of the interferometer beam is indicated by a black dot. (b) A Mach-Zehnder interferometer sequence with a $T=4$ s interrogation time, and $1000\hbar k$ momentum separation, where the two arms of the interferometer (red and blue solid lines) span an $\approx 80$m distance. The rotation vector from the rotating earth is taken to be along the $y$-axis (in and out of the page) and the interferometer axis is taken to be along $z$. The black arrow indicates the direction of the initial atom launch. 2702703 75342 http://cds.cern.ch/record/2920616/files/Sr_QND_linear_cavity_modes.png 00028 Linear cavity configurations for the preparation of squeezed states of Sr. a) In an atomic clock, we used the broad 461~nm transition to carry out quantum nondemolition measurement of Sr trapped in an 813~nm lattice, with the intention to create measurement-based squeezing~\cite{hobson_cavity-enhanced_2019}. Coherence-preserving measurements were achieved~\cite{bowden_improving_2020}, but metrologically useful squeezing was impeded by the probe modes being incommensurate with the lattice sites. b) In planned work, we will use the narrow-line cooling transition at 689~nm to probe Sr atoms in a 1379~nm lattice. Importantly, in the new setup, the atoms are trapped at intensity peaks of the probe, providing near-uniform atom-cavity coupling. c) Relevant transitions in Sr. 2702704 58831 http://cds.cern.ch/record/2920616/files/posteriors_2.png 00018 \textit{Left panel:} The 95\% CL accuracy with which LISA, AEDGE and a 1-km TVLBAI could measure the seed mass parameter $m_{\rm cut}$ in the range of $[10^2, 10^6] M_{\odot}$. \textit{Right panel:} The 95\% CL accuracy with which LISA, AEDGE and a 1-km TVLBAI could measure the fraction of light seeds, $f_{\rm 1}$, assuming an input mixture of seeds with masses $10^2$ and $10^5 M_{\odot}$ and $f_2 = 1 - f_1$. The solid and dashed curves in both panels correspond, respectively, to $w=1$ and $w=2$, which is related to the width of the distribution of the seed mass. From~\cite{Ellis:2023iyb}. 2702705 1174243 http://cds.cern.ch/record/2920616/files/Fig10_CWBEC_architecture.png 00024 \textbar \, Schematic drawing of an apparatus demonstrating continuous Bose-Einstein condensation (a) $^{84}$Sr atoms from a steady-state narrow-line magneto-optical trap (MOT) are continuously out-coupled into a guide and loaded into a crossed-beam dipole trap that forms a large reservoir with a small, deep dimple. Atoms accumulate in the laser-cooled reservoir and densely populate the dimple, where a BEC forms in steady state. (b) By off-resonantly addressing the ${^3\mathrm{P}_1} - {^3\mathrm{S}_1}$~transition using a ``transparency" laser beam, we produce a strong spatially-varying light shift on the $^3\mathrm{P}_1$ electronic state, rendering atoms locally transparent to laser cooling photons addressing the ${^1\mathrm{S}_0} - {^3\mathrm{P}_1}$~transition. This enables condensation in the protected dimple region. (c) Schematic of the potential landscape from both reservoir and dimple trap, and of the dominant mechanisms leading to BEC atom gain and loss. Figures adapted from~\cite{Chen2022CWBEC,Chen2023CWBECRev}. 2702706 4453 http://cds.cern.ch/record/2920616/files/gradiometric1a.png 00013 Spacetime diagrams in the laboratory frame that depict non-standard gradiometric configurations involving a pair of atom interferometers operated simultaneously with different initial velocities. The two atom clouds are independently launched from the top ($A$) and bottom ($B$) sources and interrogated by three common laser pulses consisting each of two slightly different frequencies so that both interferometers can be resonantly addressed. The mid-point trajectories of the two interferometers are shown as dashed lines, and the central wave fronts of the laser pulses are shown as continuous red lines. The pair of atom interferometers are interrogated by upward propagating pulses in (a), whereas a pair of reversed interferometers are alternatively interrogated by downward propagating ones in (b). From \cite{Roura2025}. 2702707 4518 http://cds.cern.ch/record/2920616/files/gradiometric1b.png 00014 Spacetime diagrams in the laboratory frame that depict non-standard gradiometric configurations involving a pair of atom interferometers operated simultaneously with different initial velocities. The two atom clouds are independently launched from the top ($A$) and bottom ($B$) sources and interrogated by three common laser pulses consisting each of two slightly different frequencies so that both interferometers can be resonantly addressed. The mid-point trajectories of the two interferometers are shown as dashed lines, and the central wave fronts of the laser pulses are shown as continuous red lines. The pair of atom interferometers are interrogated by upward propagating pulses in (a), whereas a pair of reversed interferometers are alternatively interrogated by downward propagating ones in (b). From \cite{Roura2025}. 2702708 1088489 http://cds.cern.ch/record/2920616/files/sites-cern.png 00034 Proposed design for a vertical 100 m TVLBAI experiment in the CERN PX46 shaft. Left: top view showing the free area and the proposed layout for the atom interferometer (blue lines). Right: drawings showing the atom interferometer and the access elevator. From~\cite{Arduini2023}. 2702709 567554 http://cds.cern.ch/record/2920616/files/MAGIS_100_shaft.png 00043 The MAGIS-100 site: photograph of the shaft viewed from below (left) and conceptual plan view of equipment which will be added in that space (right). 2702710 25716 http://cds.cern.ch/record/2920616/files/BaselineOpt.png 00032 {\sffamily\bfseries (a)} Spacetime diagram of a gradiometer consisting of two atom interferomters separated by a distance $L=\tau_L c$. Each atom interferomter consists of $Q$ subsequent basic Mach-Zehnder interferomters (MZIs) generated by single-photon pulses (dotted, red), where each subsequent basic MZI is created at multiples of the interrogation time $T$. The first scheme ($-\varphi$) is generated by the pulses indicted in red, while the additional $\pi$ pulses shown in yellow are only present in the second ($+\varphi$) scheme. The overall interrogation time $T_\text{tot}=2QT$ scales with the number of basic MZIs $Q$. We indicate the ground state $\ket{g}$ of the atom in blue and its excited state $\ket{e}$ in green. The phase difference from one basic MZI $\varphi(t_0)$ depends on the initial time $t_0$ and is identical but shifted in time in the $+\varphi$ scheme. On the contrary, in the first $-\varphi$ scheme it alternates its sign in subsequent MZIs, since the roles of both arms are interchanged. {\sffamily\bfseries (b)} The spatial extension $h$ and the midpoint trajectory (dashed) of the two atomic fountains that are used as generalized MZIs $\text{AI}_1$ (blue) and $\text{AI}_2$ (red) are shown. They are separated by a distance $L$ distributed along the baseline $B$ of the detector, while their start and end is delayed by a time $\tau_L=L/c$, stemming from the finite propagation time of the light between the two atomic ensembles. Their actual finite spatial extension originating from the atomic recoil and subsequent wave-packet propagation is illustrated by the shaded area surrounding the respective midpoint trajectories. This Figure was taken from Ref.~\cite{DiPumpo2024}; licensed under a Creative Commons Attribution (CC BY) license. 2702711 356632 http://cds.cern.ch/record/2920616/files/MAGIS_100_layout.png 00042 Conceptual sketches depict the overall layout of MAGIS-100 (left), a larger view of the ground-level region (middle), and a modular section of the interferometry region (right) \cite{Abe2021}. 2702712 23811 http://cds.cern.ch/record/2920616/files/Electron_AIONPaper.png 00001 Sensitivity projections for linear ULDM couplings to electrons (left panel) and photons (right panel), neglecting gravity gradient noise. The green (blue) (purple) and red lines are for AION-10 (100) (km) and AEDGE, respectively. The shaded orange region is excluded by the existing constraints from searches for violations of the equivalence principle by the MICROSCOPE experiment and with torsion balances, atomic clocks, and the AURIGA experiment, as described in~\cite{Buchmueller2023}, where the assumed experimental specifications can be found. Taken from~\cite{Buchmueller2023}. 2702713 49953 http://cds.cern.ch/record/2920616/files/strains.png 00003 Dimensionless strain sensitivities of AION-10, -100 and -km, AEDGE and AEDGE+, compared with those of LIGO, LISA and ET and the signals expected from mergers of equal-mass binaries with combined masses 60, $10^4$ and $10^7$ solar masses. The assumed redshifts are $z = 0.1, 1$ and 10, as indicated. Also shown are the remaining times during inspiral before the final mergers. From~\cite{Badurina:2021rgt}. 2702714 23917 http://cds.cern.ch/record/2920616/files/Photon_AIONPaper.png 00002 Sensitivity projections for linear ULDM couplings to electrons (left panel) and photons (right panel), neglecting gravity gradient noise. The green (blue) (purple) and red lines are for AION-10 (100) (km) and AEDGE, respectively. The shaded orange region is excluded by the existing constraints from searches for violations of the equivalence principle by the MICROSCOPE experiment and with torsion balances, atomic clocks, and the AURIGA experiment, as described in~\cite{Buchmueller2023}, where the assumed experimental specifications can be found. Taken from~\cite{Buchmueller2023}. 2702715 383620 http://cds.cern.ch/record/2920616/files/sites-canfranc.png 00037 Drawings of the top part of the Rioseta ventilation shaft at LSC. Left: side view. Right: top view. The maintenance sector includes the drawing of the elevator structure. The remaining three sectors are covered by a concrete layer, and provide free space for a potential laser laboratory. 2703663 26014674 http://cds.cern.ch/record/2920616/files/feacef44e8ab1869bffe0e1ddf4fd18f.pdf Fulltext 2725088 14352192 http://cds.cern.ch/record/2920616/files/document.pdf Fulltext from Publisher 42 2920616 london20240403 PROCEEDINGS ARTICLE 2920423 20250505091157.0 oai:cds.cern.ch:2920423 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI Frontiers 10.3389/fphy.2025.1541854 arXiv oai:arXiv.org:2412.13755 Inspire oai:inspirehep.net:2860887 2025-03-10T05:22:02Z 2025-03-11T03:00:09Z marcxml true https://inspirehep.net/api/oai2d Inspire 2860887 arXiv arXiv:2412.13755 hep-ex eng Ronchetti, Federico CERN Frascati Istituto Nazionale Fisica Nucleare (INFN), Italy Frontiers Efficient high performance computing with the ALICE Event Processing Nodes GPU-based farm 2025 2024-12-18 12 p arXiv Due to the increase of data volumes expected for the LHC Run 3 and Run 4, the ALICE Collaboration designed and deployed a new, energy efficient, computing model to run Online and Offline O$^2$ data processing within a single software framework. The ALICE O$^2$ Event Processing Nodes (EPN) project performs online data reconstruction using GPUs (Graphic Processing Units) instead of CPUs and applies an efficient, entropy-based, online data compression to cope with PbPb collision data at a 50 kHz hadronic interaction rate. Also, the O$^2$ EPN farm infrastructure features an energy efficient, environmentally friendly, adiabatic cooling system which allows for operational and capital cost savings. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication CC-BY-4.0 Frontiers CERN-APC DAI/10947857 http://creativecommons.org/licenses/by/4.0/ publication The authors 2025 preprint The author(s) 2024 arXiv hep-ex SzGeCERN Particle Physics - Experiment CERN ARTICLE Akishina, Valentina Frankfurt U., FIAS Johann Wolfgang Goethe-Universität Frankfurt, Germany Andreassen, Edvard CERN European Organization for Nuclear Research (CERN), Switzerland Bluhme, Nora Frankfurt U., FIAS Johann Wolfgang Goethe-Universität Frankfurt, Germany Dange, Gautam Frankfurt U., FIAS Johann Wolfgang Goethe-Universität Frankfurt, Germany de Cuveland, Jan Frankfurt U., FIAS Johann Wolfgang Goethe-Universität Frankfurt, Germany Erba, Giada CERN European Organization for Nuclear Research (CERN), Switzerland Gaur, Hari Frankfurt U., FIAS Johann Wolfgang Goethe-Universität Frankfurt, Germany Hutter, Dirk Frankfurt U., FIAS Johann Wolfgang Goethe-Universität Frankfurt, Germany Kozlov, Grigory Darmstadt, GSI Johann Wolfgang Goethe-Universität Frankfurt, Germany Krčál, Luboš CERN European Organization for Nuclear Research (CERN), Switzerland La Pointe, Sarah Frankfurt U., FIAS Johann Wolfgang Goethe-Universität Frankfurt, Germany Lehrbach, Johannes Frankfurt U., FIAS Johann Wolfgang Goethe-Universität Frankfurt, Germany Lindenstruth, Volker Frankfurt U., FIAS Frankfurt U., Inst. Kernphys. Darmstadt, GSI GSI Helmholtz Centre, Germany Neskovic, Gvozden Frankfurt U., FIAS Johann Wolfgang Goethe-Universität Frankfurt, Germany Redelbach, Andreas Frankfurt U., FIAS Johann Wolfgang Goethe-Universität Frankfurt, Germany Rohr, David CERN European Organization for Nuclear Research (CERN), Switzerland Weiglhofer, Felix Frankfurt U., FIAS Johann Wolfgang Goethe-Universität Frankfurt, Germany Wilhelmi, Alexander Frankfurt U., FIAS Johann Wolfgang Goethe-Universität Frankfurt, Germany 1541854 Front. Phys. 13 2025 2702274 1465396 http://cds.cern.ch/record/2920423/files/dataflow.png 00000 \small Schematic overview of the O$^2$ data~flow and the \mbox{ALICE} computing infrastructure. See Section \ref{computing-infra}. Additional information in \cite{courier} 2702275 1052125 http://cds.cern.ch/record/2920423/files/temp-adiabatic.png 00001 \small Correlation between the adiabatic mode of one Air Handling Unit (AHU) and the outside ambient temperature (red markers). Each time the supply air temperature (blue markers) exceeds the value $T_{start}$ the pumps are activated (green markers, expressing the pump speed in opening grade from 0 to 100) and the supply air to the racks is cooled down until the value $T_{start} -H$ is reached, where $T_{start} = T_{set} + \Delta T$ with $T_{set} = 27$~C and $\Delta T =1$~C. The quantity $H$, also expressed in degrees C, represents the pumps hysteresis and is related to the head load generated in the container: for the EPN adiabatic cooling system $H = 2.2$~C. See Section \ref{tech-choice}. 2702276 3598280 http://cds.cern.ch/record/2920423/files/2412.13755.pdf Fulltext 2702277 700880 http://cds.cern.ch/record/2920423/files/dashboard2024.png 00003 \small O\(^2\) EPN synchronous processing performance during the 50 kHz (sustained) \mbox{Pb--Pb} 2024 running. Details are in Section \ref{epn-perf}. 2702278 660180 http://cds.cern.ch/record/2920423/files/sync-block.png 00002 \small Block diagram of the O\(^2\) synchronous processing and online calibrations. Details are given in Section \ref{proc-calib}. 2718029 30835295 http://cds.cern.ch/record/2920423/files/document.pdf Fulltext 13 ARTICLE 2919860 SzGeCERN 20250213152638.0 DOI Springer 10.1007/978-3-031-60931-2_13 oai:cds.cern.ch:2919860 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2859160 2024-12-13T13:10:40Z 2024-12-15T05:03:19Z marcxml Inspire 2859160 eng Crespo Garrido, Irene del Rosario irene.crespo.garrido@cern.ch Santiago de Compostela U. The European Organization for Nuclear Research (CERN) Springer The Value of a Collaborative Platform in a Global Project. The Indico Case Study 2025 18 p Springer The rise of collaborative platforms has revolutionized the way individuals and organizations interact. The impact perimeter embraces interpersonal communication, knowledge sharing, and collective problem-solving. Indico, a web-based platform providing a free event management system, designed, implemented, maintained, and operated by CERN is a prime example of such type of platform. It provides a range of features and benefits for organizations and individuals hosting events of any kind. Indico improves work efficiency by streamlining the event management processes, reducing manual effort, and saving time. It also leads to sustainable practices and cost savings by eliminating paper-based processes and minimizing physical infrastructure requirements. It enhances accessibility by offering virtual event options, enabling wider participation, and promoting inclusivity. The platform fosters interdisciplinary knowledge sharing and collaboration among event participants by serving as a persistent and durable repository of presentations, articles, minutes, and writeups, including publication and protection mechanisms. Making event-relating materials available online contributes to knowledge dissemination and advancing research and professional communities. Additionally, Indico can further contribute to environmental sustainability by reducing carbon emissions through virtual events and reducing the use of paper. The data management and reporting capabilities of Indico enable data-driven decision-making for future events and resource allocation. This article reports on the socio-economic value of the Indico platform. The presented work used the stated preferences approach to estimate the socio-economic value that can be expected from a collaborative platform that a future large-scale international research infrastructure will require and put in place for its purposes. The approach taken to monetarize the socio-economic impact produced by the platform is the Choice Experiment Method. The monetary values obtained amounts to about 3.1 billion CHF discounted for a period of 29 years (2028–2057). CC-BY-4.0 Springer http://creativecommons.org/licenses/by/4.0/ The Author(s) 2025 INSPIRE Information Transfer and Management INSPIRE Computing and Computers author Indico author CERN author LHC author Open-source author WTP author Economic impact author Social impact ARTICLE CERN Loureiro García, María Santiago de Compostela U. Gutleber, Johannes CERN 2859132 163-180 2025 9783031609312 2700892 272842 http://cds.cern.ch/record/2919860/files/document.pdf Fulltext 13 2919671 163–180 Book ARTICLE BookChapter 2919271 SzGeCERN 20250227144454.0 DOI Springer 10.1038/s41586-024-08196-0 oai:cds.cern.ch:2919271 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2856110 2024-12-09T13:36:12Z 2024-12-10T05:06:09Z marcxml Inspire 2856110 eng Shen, Jiali ORCID:0000-0001-8701-7929 GRID:grid.7737.4 Helsinki U. Helsinki Institute of Physics, University of Helsinki, Helsinki, Finland Springer New particle formation from isoprene under upper-tropospheric conditions submitter New particle formation from isoprene under upper-tropospheric conditions 2024 9 p Springer Aircraft observations have revealed ubiquitous new particle formation in the tropical upper troposphere over the Amazon$^{1,2}$ and the Atlantic and Pacific oceans$^{3,4}$. Although the vapours involved remain unknown, recent satellite observations have revealed surprisingly high night-time isoprene mixing ratios of up to 1 part per billion by volume (ppbv) in the tropical upper troposphere$^{5}$. Here, in experiments performed with the CERN CLOUD (Cosmics Leaving Outdoor Droplets) chamber, we report new particle formation initiated by the reaction of hydroxyl radicals with isoprene at upper-tropospheric temperatures of −30 °C and −50 °C. We find that isoprene-oxygenated organic molecules (IP-OOM) nucleate at concentrations found in the upper troposphere, without requiring any more vapours. Moreover, the nucleation rates are enhanced 100-fold by extremely low concentrations of sulfuric acid or iodine oxoacids above 10$^{5}$ cm$^{−3}$, reaching rates around 30 cm$^{−3}$ s$^{−1}$ at acid concentrations of 10$^{6}$ cm$^{−3}$. Our measurements show that nucleation involves sequential addition of IP-OOM, together with zero or one acid molecule in the embryonic molecular clusters. IP-OOM also drive rapid particle growth at 3–60 nm h$^{−1}$. We find that rapid nucleation and growth rates persist in the presence of NO$_{x}$ at upper-tropospheric concentrations from lightning. Our laboratory measurements show that isoprene emitted by rainforests may drive rapid new particle formation in extensive regions of the tropical upper troposphere$^{1,2}$, resulting in tens of thousands of particles per cubic centimetre. submitter Abstract Aircraft observations have revealed ubiquitous new particle formation in the tropical upper troposphere over the Amazon1,2 and the Atlantic and Pacific oceans3,4. Although the vapours involved remain unknown, recent satellite observations have revealed surprisingly high night-time isoprene mixing ratios of up to 1 part per billion by volume (ppbv) in the tropical upper troposphere5. Here, in experiments performed with the CERN CLOUD (Cosmics Leaving Outdoor Droplets) chamber, we report new particle formation initiated by the reaction of hydroxyl radicals with isoprene at upper-tropospheric temperatures of −30 °C and −50 °C. We find that isoprene-oxygenated organic molecules (IP-OOM) nucleate at concentrations found in the upper troposphere, without requiring any more vapours. Moreover, the nucleation rates are enhanced 100-fold by extremely low concentrations of sulfuric acid or iodine oxoacids above 105 cm−3, reaching rates around 30 cm−3 s−1 at acid concentrations of 106 cm−3. Our measurements show that nucleation involves sequential addition of IP-OOM, together with zero or one acid molecule in the embryonic molecular clusters. IP-OOM also drive rapid particle growth at 3–60 nm h−1. We find that rapid nucleation and growth rates persist in the presence of NO x at upper-tropospheric concentrations from lightning. Our laboratory measurements show that isoprene emitted by rainforests may drive rapid new particle formation in extensive regions of the tropical upper troposphere1,2, resulting in tens of thousands of particles per cubic centimetre. publication CC-BY-4.0 Springer Other http://creativecommons.org/licenses/by/4.0/ The Author(s) 2024 SzGeCERN Physics in General ARTICLE CERN CERN CLOUD Russell, Douglas M ORCID:0000-0002-1434-247X GRID:grid.7839.5 Frankfurt U., FIAS DeVivo, Jenna ORCID:0009-0003-5097-1008 GRID:grid.147455.6 Carnegie Mellon U. Kunkler, Felix GRID:grid.419509.0 Mainz, Max Planck Inst. Baalbaki, Rima ORCID:0000-0002-4480-2107 GRID:grid.7737.4 Helsinki U. Mentler, Bernhard ORCID:0000-0003-3852-0397 GRID:grid.5771.4 Innsbruck U. Scholz, Wiebke GRID:grid.5771.4 Innsbruck U. Yu, Wenjuan GRID:grid.7737.4 Helsinki U. Caudillo-Plath, Lucía GRID:grid.7839.5 Frankfurt U., FIAS Sommer, Eva ORCID:0000-0001-7415-8386 GRID:grid.9132.9 GRID:grid.10420.37 CERN Vienna U. Faculty of Physics, University of Vienna, Wien, Austria Ahongshangbam, Emelda ORCID:0009-0000-0552-6368 GRID:grid.7737.4 Helsinki U. Department of Chemistry, University of Helsinki, Helsinki, Finland Alfaouri, Dina GRID:grid.7737.4 Helsinki U. Almeida, João GRID:grid.9132.9 GRID:grid.9983.b CERN Lisbon U. CENTRA and Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal Amorim, Antonio GRID:grid.9983.b Lisbon U. Beck, Lisa J ORCID:0000-0003-3700-5895 GRID:grid.7839.5 Frankfurt U., FIAS Beckmann, Hannah GRID:grid.5771.4 GRID:grid.10939.32 Innsbruck U. Tartu, Inst. Phys. Department of Environmental Physics, University of Tartu, Tartu, Estonia Berntheusel, Moritz GRID:grid.7839.5 Frankfurt U., FIAS Bhattacharyya, Nirvan GRID:grid.147455.6 Carnegie Mellon U. Canagaratna, Manjula R GRID:grid.276808.3 Unlisted Chassaing, Anouck ORCID:0009-0002-5478-814X GRID:grid.10548.38 Stockholm U. Cruz-Simbron, Romulo GRID:grid.266190.a Colorado U. Colorado U., CIRES Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA Dada, Lubna ORCID:0000-0003-1105-9043 GRID:grid.5991.4 Minnesota U., Math. Northeastern U. PSI, Villigen Duplissy, Jonathan ORCID:0000-0001-8819-0264 GRID:grid.7737.4 Helsinki U. Helsinki Institute of Physics, University of Helsinki, Helsinki, Finland Gordon, Hamish ORCID:0000-0002-1822-3224 GRID:grid.147455.6 Carnegie Mellon U. Granzin, Manuel GRID:grid.7839.5 Frankfurt U., FIAS Schute, Lena Große GRID:grid.7839.5 Frankfurt U., FIAS Heinritzi, Martin ORCID:0000-0002-9171-8127 GRID:grid.7839.5 Frankfurt U., FIAS Iyer, Siddharth ORCID:0000-0001-5989-609X GRID:grid.502801.e Tampere U. of Tech. Klebach, Hannah ORCID:0009-0009-7233-6295 GRID:grid.7839.5 Frankfurt U., FIAS Krüger, Timm ORCID:0009-0008-6569-2761 GRID:grid.7839.5 Frankfurt U., FIAS Kürten, Andreas GRID:grid.7839.5 Frankfurt U., FIAS Lampimäki, Markus ORCID:0000-0003-1990-6155 GRID:grid.7737.4 Helsinki U. Liu, Lu ORCID:0000-0002-9818-6282 GRID:grid.5991.4 Minnesota U., Math. Northeastern U. PSI, Villigen Lopez, Brandon GRID:grid.147455.6 Carnegie Mellon U. Martinez, Monica ORCID:0009-0009-1688-0675 GRID:grid.419509.0 Mainz, Max Planck Inst. Morawiec, Aleksandra GRID:grid.10420.37 Vienna U. Onnela, Antti GRID:grid.9132.9 CERN Peltola, Maija ORCID:0000-0002-7046-3057 GRID:grid.7737.4 Helsinki U. Rato, Pedro ORCID:0000-0002-5536-8879 GRID:grid.7839.5 GRID:grid.9132.9 Frankfurt U., FIAS CERN CERN, the European Organization for Nuclear Research, Geneva, Switzerland Reza, Mago GRID:grid.266190.a Colorado U. Colorado U., CIRES Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA Richter, Sarah ORCID:0000-0002-4906-0499 GRID:grid.7839.5 Frankfurt U., FIAS Rörup, Birte GRID:grid.7737.4 Helsinki U. Sebastian, Milin Kaniyodical ORCID:0000-0002-6549-4932 GRID:grid.7892.4 KIT, Karlsruhe Simon, Mario GRID:grid.7839.5 Frankfurt U., FIAS Surdu, Mihnea GRID:grid.5991.4 Minnesota U., Math. Northeastern U. PSI, Villigen Tamme, Kalju GRID:grid.10939.32 Tartu, Inst. Phys. Thakur, Roseline C ORCID:0000-0002-3238-4171 GRID:grid.7737.4 Helsinki U. Tomé, António ORCID:0000-0001-9144-7120 GRID:grid.7427.6 UBI, Covilha Beira Interior U., Covilha Tong, Yandong GRID:grid.266190.a Colorado U. Colorado U., CIRES Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA Top, Jens ORCID:0000-0003-3318-4451 GRID:grid.5991.4 Minnesota U., Math. Northeastern U. PSI, Villigen Umo, Nsikanabasi Silas GRID:grid.7892.4 KIT, Karlsruhe Unfer, Gabriela ORCID:0000-0001-8727-2831 GRID:grid.424885.7 TROPOS, Leibniz Vettikkat, Lejish GRID:grid.9668.1 Helsinki U. Weissbacher, Jakob GRID:grid.5771.4 Innsbruck U. Xenofontos, Christos ORCID:0009-0004-7637-5199 GRID:grid.426429.f Cyprus Inst. Yang, Boxing GRID:grid.5991.4 Minnesota U., Math. Northeastern U. PSI, Villigen Zauner-Wieczorek, Marcel ORCID:0000-0002-0867-665X GRID:grid.7839.5 Frankfurt U., FIAS Zhang, Jiangyi ORCID:0009-0007-5244-5334 GRID:grid.7737.4 Helsinki U. Zheng, Zhensen GRID:grid.5771.4 GRID:grid.425275.3 Innsbruck U. IONICON Analytik GmbH, Innsbruck, Austria Baltensperger, Urs ORCID:0000-0003-0079-8713 GRID:grid.5991.4 Minnesota U., Math. Northeastern U. PSI, Villigen Christoudias, Theodoros ORCID:0000-0001-9050-3880 GRID:grid.426429.f Cyprus Inst. Flagan, Richard C ORCID:0000-0001-5690-770X GRID:grid.20861.3d Caltech Haddad, Imad El ORCID:0000-0002-2461-7238 GRID:grid.5991.4 Minnesota U., Math. Northeastern U. PSI, Villigen Junninen, Heikki ORCID:0000-0001-7178-9430 GRID:grid.10939.32 Tartu, Inst. Phys. Möhler, Ottmar ORCID:0000-0002-7551-9814 GRID:grid.7892.4 KIT, Karlsruhe Riipinen, Ilona ORCID:0000-0001-9085-2319 GRID:grid.10548.38 Stockholm U. Rohner, Urs ORCID:0009-0009-9816-5922 GRID:grid.426248.e LLNL, Livermore Schobesberger, Siegfried ORCID:0000-0002-5777-4897 GRID:grid.9668.1 Helsinki U. Volkamer, Rainer ORCID:0000-0002-0899-1369 GRID:grid.266190.a Colorado U. Colorado U., CIRES Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA Winkler, Paul M ORCID:0000-0001-6861-6029 GRID:grid.10420.37 Vienna U. Hansel, Armin ORCID:0000-0002-1062-2394 GRID:grid.5771.4 GRID:grid.425275.3 Innsbruck U. IONICON Analytik GmbH, Innsbruck, Austria Lehtipalo, Katrianne ORCID:0000-0002-1660-2706 GRID:grid.7737.4 GRID:grid.8657.c Helsinki U. Finnish Meteorological Inst. Finnish Meteorological Institute, Helsinki, Finland Donahue, Neil M ORCID:0000-0003-3054-2364 GRID:grid.147455.6 Carnegie Mellon U. Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, USA Lelieveld, Jos ORCID:0000-0001-6307-3846 GRID:grid.419509.0 GRID:grid.426429.f Mainz, Max Planck Inst. Cyprus Inst. Climate and Atmosphere Research Centre (CARE-C), The Cyprus Institute, Nicosia, Cyprus Harder, Hartwig ORCID:0000-0002-6868-714X GRID:grid.419509.0 Mainz, Max Planck Inst. Kulmala, Markku ORCID:0000-0003-3464-7825 GRID:grid.7737.4 GRID:grid.41156.37 GRID:grid.48166.3d Helsinki U. Nanjing U. (main) CICQM, Beijing Helsinki Institute of Physics, University of Helsinki, Helsinki, Finland Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China Worsnop, Doug R ORCID:0000-0002-8928-8017 GRID:grid.7737.4 GRID:grid.276808.3 Helsinki U. Unlisted Aerodyne Research Inc., Billerica, MA, USA Kirkby, Jasper ORCID:0000-0003-2341-9069 Jasper.Kirkby@cern.ch GRID:grid.7839.5 GRID:grid.9132.9 Frankfurt U., FIAS CERN CERN, the European Organization for Nuclear Research, Geneva, Switzerland Curtius, Joachim ORCID:0000-0003-3153-4630 curtius@iau.uni-frankfurt.de GRID:grid.7839.5 Frankfurt U., FIAS He, Xu-Cheng ORCID:0000-0002-7416-306X xucheng.he@helsinki.fi GRID:grid.7737.4 GRID:grid.8657.c GRID:grid.5335.0 Helsinki U. Finnish Meteorological Inst. Cambridge U. (main) Finnish Meteorological Institute, Helsinki, Finland 115-123 8041 Nature 636 2024 https://interactions.org/press-release/cloud-experiment-resolves-puzzle-of-new-aerosol-particles Interactions.org 2694820 12705346 http://cds.cern.ch/record/2919271/files/document.pdf Fulltext 13 ARTICLE 2919192 20241209232544.0 oai:cds.cern.ch:2919192 cerncds:FULLTEXT ATL-MUON-PROC-2024-018 eng ATL-COM-MUON-2024-085 The ATLAS collaboration Performance of the ATLAS RPC detector and Level-1 muon barrel trigger with a new $\mathrm{CO_2}$-based gas mixture 2024 CERN Geneva 09 Dec 2024 Su, Shixiang AUTHOR|(CDS)2661553 University of Science and Technology of China (CN) shixiang.su@cern.ch 8 p Resistive Plate Chambers (RPCs) are used in the ATLAS experiment for trigger on muons in the barrel region. The current RPC detectors operate with a Freon-based gas mixture containing $\mathrm{C_2H_2F_4}$ and $\mathrm{SF_{6}}$, both of which have a high global warming potential. To reduce environmental impact and operating costs, it is essential to explore alternative, environmentally friendly gas mixtures. In August 2023, after the completion of proton-proton data-taking, the ATLAS collaboration replaced the standard gas mixture (94.7% $\mathrm{C_2H_2F_4}$, 5.0% $\mathrm{i\mbox{-}C_4H_{10}}$, 0.3% $\mathrm{SF_6}$) with a new mixture with $\mathrm{CO_2}$ added: 64% $\mathrm{C_2H_2F_4}$, 30% $\mathrm{CO_2}$, 5.0% $\mathrm{i\mbox{-}C_4H_{10}}$, 1% $\mathrm{SF_6}$. This paper presents the performance of the RPC detector with the new mixture, focusing on detector current density, cluster size, and the efficiency of the Level-1 muon barrel trigger system. PROC CERN CDS-Invenio WebSubmit Particle Physics - Experiment SzGeCERN Muon SzGeCERN CERN RPC performance CERN new CO2-based gas mixture CERN HV correction CERN INTNOTE PRIVATLAS INTNOTEATLASPUBL CERN LHC ATLAS PH-EP ATLAS Collaboration http://cds.cern.ch/record/2918976 Original Communication (restricted to ATLAS) 2694434 23347068 http://cds.cern.ch/record/2919192/files/ATL-MUON-PROC-2024-018.pdf Stamped by WebSubmit: 09/12/2024 shixiang.su@cern.ch n 202470 91 PUBLIC 000785341CER INTNOTEATLASPUBL ConferencePaper 2922620 20250515232632.0 oai:cds.cern.ch:2922620 cerncds:FULLTEXT cerncds:THESES cerncds:CERN:FULLTEXT INIS cerncds:CERN CERN-THESIS-2024-318 eng Torres Reoyo, Eduardo Lund U. (main) Endcap ITk Strips module thermal cycle qualification process for Lund University 2024 10/06/2024 70 p Presented 10 Jun 2024 Master Lund U. (main) 2024 The High Luminosity-Large Hadron Collider (HL-LHC) will reach an approximate pile-up of 200 collisions per bunch crossing, ten times more than the current Large Hadron Collider. Beginning operation at the end of the decade, it will accumulate 3000 fb−1, increasing the chances of observing new processes and allowing measurement of rare processes with higher precision. Moreover, the pile-up increase means more particle production, causing higher radiation damage and detector occupancy conditions. Therefore, the current tracking system in the ATLAS detector will be replaced by the new Inner Tracker system (ITk). ITk is based on silicon detectors, composed of individual sensors and readout electronics called modules. This project concerns testing the module’s electrical response to repeated thermal cycling. To perform the tests, a controllable environmental chamber is under construction, The Cold Box. CERN EDS SzGeCERN Detectors and Experimental Techniques CERN THESIS CERN HL-LHC ATLAS Herde, Hannah dir. Lund U. (main) Wallin, Erik dir. Lund U. (main) EP 2710116 18733691 http://cds.cern.ch/record/2922620/files/CERN-THESIS-2024-318.pdf http://lup.lub.lu.se/studentpapers/record/9164603 Lund University eduardo.torres.reoyo@cern.ch n 202505 a2025 14 PUBLIC https://repository.cern/legacy/record/2922620 THESIS MIGRATED 2922532 SzGeCERN 20251217181145.0 oai:cds.cern.ch:2922532 cerncds:FULLTEXT cerncds:CERN:FULLTEXT INIS cerncds:CERN DOI publication 10.1016/j.nima.2025.170451 Inspire 2910363 CMS-CR-2024-331 eng Gomes Pinheiro, Joao Pedro XX CCID-824207 Rio de Janeiro State U. Performance and longevity of CO$_2$ based mixtures in CMS Improved Resistive Plate Chambers in the HL-LHC environment 2025 Geneva CERN 06 Dec 2024 7 p Resistive Plate Chamber (RPC) detectors are widely used in high-energy physics experiments. In the Compact Muon Solenoid (CMS), the RPC gas mixture is composed of 95.2\% C$_2$H$_2$F$_4$, which generates a large number of ion-electron pairs, 4.5\% iC$4$H${10}$ to suppress photon feedback effects, and 0.3\% SF$_6$ as an electron quencher to ensure operation in streamer-free mode. Given the high global warming potential (GWP) of C$_2$H$_2$F$_4$ at 1430 and the recent reduction in the emission of F gases imposed by the European Union, efforts have intensified in recent years to explore environmentally friendly gas alternatives. A promising short- to mid-term solution for the upcoming years of Large Hadron Collider (LHC) operations is to lower the GWP of the RPC gas mixture by partially substituting C$_2$H$_2$F$_4$ with CO$_2$. The performance tests of the alternative gas mixtures are conducted at the CERN Gamma Irradiation Facility (GIF++) in the North Area of the Super Proton Synchrotron (SPS), where a 13.6 TBq radiation source and an SPS muon beam simulate the High-Luminosity (HL) Phase II conditions of the LHC. This paper reports on the performance of a 1.4 mm gap RPC using three different CO$_2$-based mixtures under intense gamma radiation, with the first results on the longevity campaign. publication Elsevier B.V 2025 CERN EDS For annual report SzGeCERN Detectors and Experimental Techniques CMS Muons INTNOTE CERN PUBLCMS CERN LHC CMS PH CMS Collaboration 170451 Nucl. Instrum. Methods Phys. Res., A 1076 C24-09-09.14 2025 2710055 1672651 http://cds.cern.ch/record/2922532/files/CR2024_331.pdf n 20255 2920470 170451 SantiagodeCompostela20240909 PUBLIC INTNOTECMSPUBL ConferencePaper ARTICLE 2921396 SzGeCERN 20251217181145.0 oai:cds.cern.ch:2921396 cerncds:FULLTEXT cerncds:CERN:FULLTEXT INIS cerncds:CERN DOI Elsevier B.V. 10.1016/j.nima.2025.170341 publication HAL hal-05058151 Inspire 2918464 CMS-CR-2024-332 eng Zubayda Eve Kofi zubayda.eve.kofi@cern.ch Dundee U. Preliminary aging studies of improved RPC gaps operated with HFO based mixtures 2025 Geneva CERN 09 Dec 2024 4 p Resistive Plate Chambers (RPCs) at CMS experiment are operated with a gas mixture containing around 95\% Tetrafluoroethane (C$_2$H$_2$F$_4$), commonly known as R-134a, which has a global warming potential (GWP) of 1430. In the framework of the CMS Upgrade project for the High Luminosity phase, new improved RPCs (iRPC) have been developed to enhance the legacy performances in the most RPC forward region of the experiment, shown in Fig. 1. To comply with European regulations and explore environmentally friendly gaseous mixture alternatives for long-term RPC operation, CMS RPC within the RPC EcoGas@GIF++ collaboration has launched a longevity study operating the chambers with HFO/CO2-based eco-friendly gas mixture. In this report, preliminary results of the aging study, after one year of irradiation at the Gamma Irradiation Facility at CERN are presented. publication Elsevier B.V. 2025 CERN EDS For annual report SzGeCERN Detectors and Experimental Techniques CMS Muons Elsevier B.V. Resistive plate chambers Elsevier B.V. Eco-friendly gas mixtures Elsevier B.V. Aging INTNOTE ARTICLE CERN PUBLCMS CERN LHC CMS Tytgat, M Vrije U., Brussels Mota Amarilo, K Rio de Janeiro, CBPF Samalan, A Rio de Janeiro, CBPF Skovpen, K Rio de Janeiro, CBPF Alves, G A Rio de Janeiro State U. Coelho, E Alves Rio de Janeiro State U. da Silva, F Marujo Rio de Janeiro State U. Filho, M Barroso Ferreira Sofiya U. Da Costa, E M Sofiya U. De Jesus Damiao, D Sofiya U. Ferreira, B C Sofiya U. De Souza, S Fonseca Sofiya U. De Souza, R Gomes Sofiya U. Mundim, L Sofiya U. Nogima, H Sofiya U. Pinheiro, J P Sofiya U. Santoro, A Sofiya U. Thiel, M Sofiya U. Aleksandrov, A Sofiya, Inst. Nucl. Res. Hadjiiska, R Sofiya, Inst. Nucl. Res. Iaydjiev, P Sofiya, Inst. Nucl. Res. Shopova, M Sofiya, Inst. Nucl. Res. Sultanov, G Sofiya, Inst. Nucl. Res. Dimitrov, A Sofiya U. Litov, L Sofiya U. Pavlov, B Sofiya U. Petkov, P Sofiya U. Petrov, A Sofiya U. Shumka, E Sofiya U. Cao, P Beijing, Inst. High Energy Phys. Diao, W Beijing, Inst. High Energy Phys. Gong, W Beijing, Inst. High Energy Phys. Hou, Q Beijing, Inst. High Energy Phys. Kou, H Beijing, Inst. High Energy Phys. Liu, Z -A Beijing, Inst. High Energy Phys. Song, J Beijing, Inst. High Energy Phys. Wang, N Beijing, Inst. High Energy Phys. Zhao, J Beijing, Inst. High Energy Phys. Qian, S J Peking U. Avila, C Andes U., Bogota Trujillo, D A Barbosa Andes U., Bogota Cabrera, A Andes U., Bogota Florez, C A Andes U., Bogota Vega, J A Reyes Andes U., Bogota Aly, R Cairo U. British U. in Egypt The British University in Egypt, Cairo, Egypt Radi, A Ain Shams U., Cairo Assran, Y British U. in Egypt Crotty, I Fayoum U. Mahmoud, M A Fayoum U. Balleyguier, L IP2I, Lyon Chen, X IP2I, Lyon Combaret, C IP2I, Lyon Galbit, G IP2I, Lyon Gouzevitch, M IP2I, Lyon Grenier, G IP2I, Lyon Laktineh, I B IP2I, Lyon Luciol, A IP2I, Lyon Mirabito, L IP2I, Lyon Tromeur, W IP2I, Lyon Bagaturia, I GTU, Tbilisi Kemularia, O GTU, Tbilisi Lomidze, I GTU, Tbilisi Tsamalaidze, Z GTU, Tbilisi Amoozegar, V IPM, Tehran Boghrati, B IPM, Tehran Ebrahimi, M IPM, Tehran Esfandi, F IPM, Tehran Hosseini, Y IPM, Tehran Mohammadi Najafabadi, M IPM, Tehran Zareian, E IPM, Tehran Abbrescia, M INFN, Bari Bari U. Università di Bari, Bari, Italy De Filippis, N INFN, Bari Bari Polytechnic Politecnico di Bari, Bari, Italy Iaselli, G INFN, Bari Bari Polytechnic Politecnico di Bari, Bari, Italy Loddo, F INFN, Bari Pugliese, G INFN, Bari Bari Polytechnic Politecnico di Bari, Bari, Italy Ramos, D INFN, Bari Benussi, L Frascati Bianco, S Frascati Meola, S Frascati Piccolo, D Frascati Buontempo, S INFN, Naples Carnevali, F INFN, Naples Naples U. Università di Napoli’Federico II’, Napoli, Italy Lista, L INFN, Naples Naples U. Università di Napoli’Federico II’, Napoli, Italy Paolucci, P INFN, Naples Fienga, F Naples U. Braghieri, A INFN, Pavia Montagna, P INFN, Pavia Pavia U. Università di Pavia, Pavia, Italy Riccardi, C INFN, Pavia Pavia U. Università di Pavia, Pavia, Italy Salvini, P INFN, Pavia Vitulo, P INFN, Pavia Pavia U. Università di Pavia, Pavia, Italy Asilar, E Hanyang U. Kim, T J Hanyang U. Ryou, Y Hanyang U. Choi, S Korea U. Hong, B Korea U. Lee, K S Korea U. Goh, J Kyung Hee U. Shin, J Kyung Hee U. Lee, Y Sungkyunkwan U. Pedraza, I Puebla U., Mexico Estrada, C Uribe Puebla U., Mexico Castilla-Valdez, H UPII, IPN Lopez-Fernandez, R UPII, IPN Hernández, A Sánchez UPII, IPN García, M Ramírez Iberoamericana U. Guadarrama, D L Ramirez Iberoamericana U. Shah, M A Iberoamericana U. Vazquez, E Iberoamericana U. Zaganidis, N Iberoamericana U. Muhammad, S NCP, Islamabad Asghar, M I NCP, Islamabad Hoorani, H R NCP, Islamabad Muhammad, S NCP, Islamabad Eysermans, J MIT PH CMS Collaboration 170341 publication Nucl. Instrum. Methods Phys. Res., A 1077 2025 2704842 726133 http://cds.cern.ch/record/2921396/files/CR2024_332.pdf n 20253 13 2920470 SantiagodeCompostela20240909 PUBLIC INTNOTECMSPUBL ConferencePaper ARTICLE 2932464 2925315 SzGeCERN 20250411100736.0 DOI Elsevier B.V. 10.1016/j.nima.2024.170163 publication oai:cds.cern.ch:2925315 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2867545 2025-02-25T15:51:10Z 2025-02-26T05:00:07Z marcxml Inspire 2867545 eng Abbrescia, M Bari U. INFN, Bari INFN, Sezione di Bari, via Orabona 4, 70126 Bari, Italy Elsevier B.V. Measurement of the muon flux in the tunnels of Doss Trento hill 2024 9 p Elsevier B.V. In the context of astroparticle physics, nuclear astrophysics and quantum computing projects, it is important identifying underground laboratories where the cosmogenic background is suppressed. Located about 500 m far from the center of Trento (Italy) the Piedicastello tunnels are covered by 100 m limestone rock of the Doss Trento hill. The site exceeds 6000m2 surface and is currently hosting events, temporary exhibitions, and educational activities. The cosmogenic background was measured in different locations within the Piedicastello tunnels with three portable scintillator telescopes having different geometrical acceptances. The muon flux measured in the deepest part was found to be about two orders of magnitude lower than the surface flux. This preliminary measurement suggests the use of the site as a facility in which a low environmental background is required. publication CC BY 4.0 Other http://creativecommons.org/licenses/by/4.0/ publication The Authors 2024 SzGeCERN Detectors and Experimental Techniques Elsevier B.V. Muon Elsevier B.V. Underground laboratory Elsevier B.V. Astroparticle physics ARTICLE CERN Avanzini, C INFN, Pisa Pisa U. Dipartimento di Fisica ‘‘E. Fermi’’, Università di Pisa, largo Bruno Pontecorvo 3, 56127 Pisa, Italy Baldini, L Pisa U. INFN, Pisa INFN, Sezione di Pisa, largo Bruno Pontecorvo 3, 56127 Pisa, Italy Ferroli, R Baldini Frascati Batignani, G Pisa U. INFN, Pisa Enrico Fermi Ctr., Rome INFN, Sezione di Pisa, largo Bruno Pontecorvo 3, 56127 Pisa, Italy Battaglieri, M INFN, Genoa Battiston, R Trento U. TIFPA-INFN, Trento INFN, Trento Institute for Fundamental Physics and Applications, via Sommarive 14, 38123 Trento, Italy Bimbi, S Rome U. Boi, S INFN, Cagliari INFN, Sezione di Cagliari, Complesso Universitario di Monserrato, S.P. per Sestu Km 0, 700 09042 Monserrato (CA), Italy Bossini, E INFN, Pisa Carnesecchi, F CERN Cavazza, D INFN, Bologna Cicalò, C INFN, Cagliari Cifarelli, L Bologna U. INFN, Bologna Enrico Fermi Ctr., Rome INFN, Sezione di Bologna, viale Carlo Berti Pichat 6-2, 40127, Bologna, Italy Coccetti, F Enrico Fermi Ctr., Rome Coccia, E GSSI, Aquila Corvaglia, A Salento U. INFN, Lecce De Gruttola, D Salerno U. INFN, Naples Enrico Fermi Ctr., Rome INFN, Gruppo Collegato di Salerno, Complesso Universitario di Monte S. Angelo ed., 6 via Cintia, 80126, Napoli, Italy De Pasquale, S Salerno U. INFN, Naples Enrico Fermi Ctr., Rome INFN, Gruppo Collegato di Salerno, Complesso Universitario di Monte S. Angelo ed., 6 via Cintia, 80126, Napoli, Italy Dimiccoli, F Trento U. TIFPA-INFN, Trento INFN, Trento Institute for Fundamental Physics and Applications, via Sommarive 14, 38123 Trento, Italy Follega, F M Trento U. TIFPA-INFN, Trento INFN, Trento Institute for Fundamental Physics and Applications, via Sommarive 14, 38123 Trento, Italy Galante, L Polytech. Turin Garbini, M Enrico Fermi Ctr., Rome INFN, Bologna INFN, Sezione di Bologna, viale Carlo Berti Pichat 6-2, 40127, Bologna, Italy Ghezzer, L E Trento U. Gnesi, I Enrico Fermi Ctr., Rome INFN, Cosenza INFN, Gruppo Collegato di Cosenza, via Pietro Bucci, Rende (Cosenza), Italy Gramegna, F INFN, Legnaro Padua U. Enrico Fermi Ctr., Rome Museo Storico della Fisica e Centro Studi e Ricerche ‘‘E. Fermi’’, via Panisperna 89a, 00184 Roma, Italy Grazzi, S INFN, Genoa Hatzifotiadou, D INFN, Bologna CERN Enrico Fermi Ctr., Rome European Organisation for Nuclear Research (CERN), Esplanade des Particules 1, 1211 Geneva 23, Switzerland La Rocca, P Catania U. INFN, Catania Enrico Fermi Ctr., Rome INFN, Sezione di Catania, via S. Sofia 64, 95123 Catania, Italy Lazzizzera, I Trento U. Liu, Z World Lab., Geneva Lombardo, L Turin Polytechnic Mandaglio, G Messina U. INFN, Catania INFN, Sezione di Catania, via S. Sofia 64, 95123 Catania, Italy Margotti, A INFN, Bologna Maron, G INFN, Legnaro Padua U. Mazziotta, M N INFN, Bari Bari U. Mulliri, A INFN, Cagliari INFN, Sezione di Cagliari, Complesso Universitario di Monserrato, S.P. per Sestu Km 0, 700 09042 Monserrato (CA), Italy Nania, R INFN, Bologna Enrico Fermi Ctr., Rome Museo Storico della Fisica e Centro Studi e Ricerche ‘‘E. Fermi’’, via Panisperna 89a, 00184 Roma, Italy Noferini, F INFN, Bologna Enrico Fermi Ctr., Rome Museo Storico della Fisica e Centro Studi e Ricerche ‘‘E. Fermi’’, via Panisperna 89a, 00184 Roma, Italy Nozzoli, F TIFPA-INFN, Trento Trento U. Dipartimento di Fisica Università di Trento, via Sommarive 14, 38123 Trento, Italy Palmonari, F Bologna U. INFN, Bologna INFN, Sezione di Bologna, viale Carlo Berti Pichat 6-2, 40127, Bologna, Italy Panareo, M INFN, Lecce Salento U. INFN, Sezione di Lecce, via per Arnesano., 73100, Lecce, Italy Panetta, M P Salento U. INFN, Lecce Paoletti, R Messina U. INFN, Pisa INFN, Sezione di Pisa, largo Bruno Pontecorvo 3, 56127 Pisa, Italy Parvis, M Turin Polytechnic Pellegrino, C INFN, CNAF Perasso, L INFN, Genoa Pinazza, O INFN, Bologna Enrico Fermi Ctr., Rome Museo Storico della Fisica e Centro Studi e Ricerche ‘‘E. Fermi’’, via Panisperna 89a, 00184 Roma, Italy Pinto, C CERN Pisano, S Enrico Fermi Ctr., Rome Frascati INFN, Laboratori Nazionali di Frascati, via Enrico Fermi 54, 00044 Frascati (RM), Italy Riggi, F Catania U. INFN, Catania Enrico Fermi Ctr., Rome INFN, Sezione di Catania, via S. Sofia 64, 95123 Catania, Italy Righini, G Florence U. INFN, Florence Ripoli, C Salerno U. INFN, Naples Enrico Fermi Ctr., Rome INFN, Gruppo Collegato di Salerno, Complesso Universitario di Monte S. Angelo ed., 6 via Cintia, 80126, Napoli, Italy Rizzi, M INFN, Bari Bari U. Rossi, M Rome U. Sartorelli, G Bologna U. INFN, Bologna INFN, Sezione di Bologna, viale Carlo Berti Pichat 6-2, 40127, Bologna, Italy Scapparone, E INFN, Bologna Schioppa, M Calabria U. INFN, Cosenza INFN, Gruppo Collegato di Cosenza, via Pietro Bucci, Rende (Cosenza), Italy Scioli, G Bologna U. INFN, Bologna INFN, Sezione di Bologna, viale Carlo Berti Pichat 6-2, 40127, Bologna, Italy Scribano, A Messina U. INFN, Pisa INFN, Sezione di Pisa, largo Bruno Pontecorvo 3, 56127 Pisa, Italy Selvi, M INFN, Bologna Enrico Fermi Ctr., Rome Museo Storico della Fisica e Centro Studi e Ricerche ‘‘E. Fermi’’, via Panisperna 89a, 00184 Roma, Italy Taiuti, M Genoa U. INFN, Genoa INFN, Sezione di Genova, via Dodecaneso, 33, 16146 Genova, Italy Terreni, G INFN, Pisa Trifirò, A Messina U. INFN, Catania INFN, Sezione di Catania, via S. Sofia 64, 95123 Catania, Italy Trimarchi, M Messina U. INFN, Catania INFN, Sezione di Catania, via S. Sofia 64, 95123 Catania, Italy Vistoli, C INFN, CNAF Votano, L Gran Sasso Williams, M C S CERN World Lab., Geneva ICSC World Laboratory, Geneva, Switzerland Zichichi, A Enrico Fermi Ctr., Rome Bologna U. INFN, Bologna CERN World Lab., Geneva Dipartimento di Fisica e Astronomia ‘‘A. Righi’’, Università di Bologna, viale Carlo Berti Pichat 6-2, 40127, Bologna, Italy European Organisation for Nuclear Research (CERN), Esplanade des Particules 1, 1211 Geneva 23, Switzerland Zuyeuski, R World Lab., Geneva CERN European Organisation for Nuclear Research (CERN), Esplanade des Particules 1, 1211 Geneva 23, Switzerland 170163 publication Nucl. Instrum. Methods Phys. Res., A 1072 2025 2716326 4651076 http://cds.cern.ch/record/2925315/files/Publication.pdf Fulltext 13 ARTICLE 2924847 20250521125901.0 DOI EDP Sciences 10.1051/0004-6361/202449748 oai:cds.cern.ch:2924847 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2501.03889 Inspire oai:inspirehep.net:2865954 2025-02-20T20:06:29Z 2025-02-21T03:00:21Z marcxml true https://inspirehep.net/api/oai2d Inspire 2865954 arXiv arXiv:2501.03889 astro-ph.HE eng Abe, S. ORCID:0000-0001-7250-3596 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan EDP Sciences Cosmic-ray acceleration and escape from supernova remnant W44 as probed by Fermi-LAT and MAGIC 2025-01-01 2025-01-07 15 p EDP Sciences Context. The supernova remnant (SNR) W44 and its surroundings are a prime target for studying the acceleration of cosmic rays (CRs). Several previous studies established an extended gamma-ray emission that is set apart from the radio shell of W44. This emission is thought to originate from escaped high-energy CRs that interact with a surrounding dense molecular cloud complex.Aims. We present a detailed analysis of Fermi-LAT data with an emphasis on the spatial and spectral properties of W44 and its surroundings. We also report the results of the observations performed with the MAGIC telescopes of the northwestern region of W44. Finally, we present an interpretation model to explain the gamma-ray emission of the SNR and its surroundings.Methods. We first performed a detailed spatial analysis of 12 years of Fermi-LAT data at energies above 1 GeV, in order to exploit the better angular resolution, while we set a threshold of 100 MeV for the spectral analysis. We performed a likelihood analysis of 174 hours of MAGIC data above 130 GeV using the spatial information obtained with Fermi-LAT.Results. The combined spectra of Fermi-LAT and MAGIC, extending from 100 MeV to several TeV, were used to derive constraints on the escape of CRs. Using a time-dependent model to describe the particle acceleration and escape from the SNR, we show that the maximum energy of the accelerated particles has to be ≃40 GeV. However, our gamma-ray data suggest that a small number of lower-energy particles also needs to escape. We propose a novel model, the broken-shock scenario, to account for this effect and explain the gamma-ray emission.Key words: acceleration of particles / diffusion / cosmic rays / ISM: supernova remnants / gamma rays: general arXiv Context. The supernova remnant (SNR) W44 and its surroundings are a prime target for studying the acceleration of cosmic rays (CRs). Several previous studies established an extended gamma-ray emission that is set apart from the radio shell of W44. This emission is thought to originate from escaped high-energy CRs that interact with a surrounding dense molecular cloud complex. Aims. We present a detailed analysis of Fermi-LAT data with an emphasis on the spatial and spectral properties of W44 and its surroundings. We also report the results of the observations performed with the MAGIC telescopes of the northwestern region of W44. Finally, we present an interpretation model to explain the gamma-ray emission of the SNR and its surroundings. Methods. We first performed a detailed spatial analysis of 12 years of Fermi-LAT data at energies above 1 GeV, in order to exploit the better angular resolution, while we set a threshold of 100MeV for the spectral analysis. We performed a likelihood analysis of 174 hours of MAGIC data above 130 GeV using the spatial information obtained with Fermi-LAT. Results. The combined spectra of Fermi-LAT and MAGIC, extending from 100MeV to several TeV, were used to derive constraints on the escape of CRs. Using a time-dependent model to describe the particle acceleration and escape from the SNR, we show that the maximum energy of the accelerated particles has to be ' 40 GeV. However, our gamma-ray data suggest that a small number of lower-energy particles also needs to escape. We propose a novel model, the broken-shock scenario, to account for this effect and explain the gamma-ray emission. publication CC-BY-4.0 EDP Sciences Other https://creativecommons.org/licenses/by/4.0 preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication The Authors Interstellar and circumstellar matter https://www.aanda.org/articles/aa/full_html/2025/01/aa49748-24/aa49748-24.html DOKIFILE:aanda2025.1_2025-02-16 arXiv number from ADS (not from publisher!) arXiv astro-ph.HE SzGeCERN Astrophysics and Astronomy CERN ARTICLE Abhir, J. ORCID:0000-0001-8215-4377 Zurich, ETH ETH Zürich, 8093 Zürich, Switzerland Abhishek, A. ORCID:0009-0005-5239-7905 INFN, Pisa Siena U. Università di Siena and INFN Pisa, 53100 Siena, Italy Acciari, V.A. Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, 38200, La Laguna, Tenerife, Spain Aguasca-Cabot, A. ORCID:0000-0001-8816-4920 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, 08028 Barcelona, Spain Agudo, I. ORCID:0000-0002-3777-6182 IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain Aniello, T. ORCID:0009-0004-9368-0515 INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy Ansoldi, S. Udine U. INFN, Trieste ICRA, Rome Università di Udine and INFN Trieste, 33100 Udine, Italy also at International Center for Relativistic Astrophysics (ICRA), Rome, Italy Antonelli, L.A. INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy Engels, A. Arbet ORCID:0000-0001-9076-9582 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, 85748 Garching, Germany Arcaro, C. ORCID:0000-0002-1998-9707 INFN, Padua Padua U. Università di Padova and INFN, 35131 Padova, Italy Asano, K. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Babi'c, A. ORCID:0000-0002-1444-5604 Zagreb U. Croatian MAGIC Group: University of Zagreb, Faculty of Electrical Engineering and Computing (FER), 10000 Zagreb, Croatia Baquero, A. ORCID:0000-0002-1757-5826 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, 28040 Madrid, Spain de Almeida, U. Barres ORCID:0000-0001-7909-588X Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas (CBPF), 22290-180 URCA, Rio de Janeiro (RJ), Brazil Barrio, J.A. ORCID:0000-0002-0965-0259 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, 28040 Madrid, Spain Batkovi'c, I. INFN, Padua Padua U. Università di Padova and INFN, 35131 Padova, Italy Bautista, A. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, 85748 Garching, Germany Baxter, J. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Gonz'alez, J. Becerra Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, 38200, La Laguna, Tenerife, Spain Bednarek, W. ORCID:0000-0003-0605-108X Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Bernardini, E. ORCID:0000-0003-3108-1141 INFN, Padua Padua U. Università di Padova and INFN, 35131 Padova, Italy Bernete, J. ORCID:0000-0002-8108-7552 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain Berti, A. ORCID:0000-0003-0396-4190 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, 85748 Garching, Germany Besenrieder, J. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, 85748 Garching, Germany Bigongiari, C. ORCID:0000-0003-3293-8522 INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy Biland, A. ORCID:0000-0002-1288-833X Zurich, ETH ETH Zürich, 8093 Zürich, Switzerland Blanch, O. ORCID:0000-0002-8380-1633 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), 08193 Bellaterra (Barcelona), Spain Bonnoli, G. ORCID:0000-0003-2464-9077 INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy Bošnjak, Ž. ORCID:0000-0001-6536-0320 Zagreb U. Croatian MAGIC Group: University of Zagreb, Faculty of Electrical Engineering and Computing (FER), 10000 Zagreb, Croatia Bronzini, E. ORCID:0000-0001-8378-4303 INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy Burelli, I. Udine U. INFN, Trieste Università di Udine and INFN Trieste, 33100 Udine, Italy Busetto, G. ORCID:0000-0002-2687-6380 INFN, Padua Padua U. Università di Padova and INFN, 35131 Padova, Italy Campoy-Ordaz, A. ORCID:0000-0001-9352-8936 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain Carosi, A. INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy Carosi, R. ORCID:0000-0002-4137-4370 Pisa U. Università di Pisa and INFN Pisa, 56126 Pisa, Italy Carretero-Castrillo, M. ORCID:0000-0002-1426-1311 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, 08028 Barcelona, Spain Castro-Tirado, A.J. ORCID:0000-0003-2999-3563 IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain Cerasole, D. ORCID:0000-0003-2033-756X Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, 70125 Bari, Italy Ceribella, G. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, 85748 Garching, Germany Chai, Y. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, 85748 Garching, Germany Chilingarian, A. Yerevan Phys. Inst. Armenian MAGIC Group: A. Alikhanyan National Science Laboratory, 0036 Yerevan, Armenia Cifuentes, A. ORCID:0000-0003-1033-5296 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain Colombo, E. ORCID:0000-0002-3700-3745 Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, 38200, La Laguna, Tenerife, Spain Contreras, J.L. HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, 28040 Madrid, Spain Cortina, J. ORCID:0000-0003-4576-0452 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain Covino, S. ORCID:0000-0001-9078-5507 INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy D'Amico, G. Bergen U. Department for Physics and Technology, University of Bergen, Norway D'Elia, V. ORCID:0000-0003-3703-4418 INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy Da Vela, P. ORCID:0000-0003-0604-4517 INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy Dazzi, F. ORCID:0000-0001-5409-6544 INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy De Angelis, A. INFN, Padua Padua U. Università di Padova and INFN, 35131 Padova, Italy De Lotto, B. ORCID:0000-0003-3624-4480 Udine U. INFN, Trieste Università di Udine and INFN Trieste, 33100 Udine, Italy de Menezes, R. ORCID:0000-0001-5489-4925 INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, 10125 Torino, Italy Del Popolo, A. ORCID:0000-0002-9057-0239 Catania U. INFN MAGIC Group: INFN Sezione di Catania and Dipartimento di Fisica e Astronomia, University of Catania, 95123 Catania, Italy Delfino, M. ORCID:0000-0002-9468-4751 Barcelona, IFAE PIC, Bellaterra Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), 08193 Bellaterra (Barcelona), Spain also at Port d’Informació Científica (PIC), E-08193 Bellaterra (Barcelona), Spain Delgado, J. ORCID:0000-0002-0166-5464 Barcelona, IFAE PIC, Bellaterra Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), 08193 Bellaterra (Barcelona), Spain also at Port d’Informació Científica (PIC), E-08193 Bellaterra (Barcelona), Spain Delgado Mendez, C. ORCID:0000-0002-7014-4101 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain Di Pierro, F. ORCID:0000-0003-4861-432X INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, 10125 Torino, Italy Dominis Prester, D. Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Donini, A. INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy Dorner, D. ORCID:0000-0001-8823-479X Wurzburg U. Universität Würzburg, 97074 Würzburg, Germany Doro, M. ORCID:0000-0001-9104-3214 INFN, Padua Padua U. Università di Padova and INFN, 35131 Padova, Italy Elsaesser, D. ORCID:0000-0001-6796-3205 Tech. U., Dortmund (main) Technische Universität Dortmund, 44221 Dortmund, Germany Emery, G. Geneva U. University of Geneva, Chemin d’Ecogia 16, 1290 Versoix, Switzerland Escudero, J. ORCID:0000-0002-4131-655X IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain Fariña, L. ORCID:0000-0003-4116-6157 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), 08193 Bellaterra (Barcelona), Spain na, L. Fari\ Fattorini, A. ORCID:0000-0002-1056-9167 Tech. U., Dortmund (main) Technische Universität Dortmund, 44221 Dortmund, Germany Foffano, L. ORCID:0000-0002-0709-9707 INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy Font, L. ORCID:0000-0003-2109-5961 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain Fröse, S. ORCID:0000-0003-1832-4129 Tech. U., Dortmund (main) Technische Universität Dortmund, 44221 Dortmund, Germany Fukazawa, Y. Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 7398526 Hiroshima, Japan L'opez, R.J. Garc'ia ORCID:0000-0002-8204-6832 Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, 38200, La Laguna, Tenerife, Spain Garczarczyk, M. DESY Deutsches Elektronen-Synchrotron (DESY), 15738 Zeuthen, Germany Gasparyan, S. ICRANet, Yerevan Armenian MAGIC Group: ICRANet-Armenia, 0019 Yerevan, Armenia Gaug, M. ORCID:0000-0001-8442-7877 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain Giesbrecht Paiva, J.G. Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas (CBPF), 22290-180 URCA, Rio de Janeiro (RJ), Brazil Giglietto, N. ORCID:0000-0002-9021-2888 Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, 70125 Bari, Italy Gliwny, P. Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Godinovi'c, N. Split U. Croatian MAGIC Group: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), 21000 Split, Croatia Gozzini, S.R. ORCID:0000-0001-5152-9631 DESY Deutsches Elektronen-Synchrotron (DESY), 15738 Zeuthen, Germany Gradetzke, T. ORCID:0000-0003-0646-2495 Tech. U., Dortmund (main) Technische Universität Dortmund, 44221 Dortmund, Germany Grau, R. ORCID:0000-0002-1891-6290 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), 08193 Bellaterra (Barcelona), Spain Green, J.G. ORCID:0000-0002-1130-6692 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, 85748 Garching, Germany Günther, P. Wurzburg U. Universität Würzburg, 97074 Würzburg, Germany Hadasch, D. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Hahn, A. ORCID:0000-0003-0827-5642 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, 85748 Garching, Germany Hassan, T. Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain Heckmann, L. ORCID:0000-0002-6653-8407 Garching, Max Planck Inst., MPE Innsbruck U., Inst. Astrophys. Max-Planck-Institut für Physik, 85748 Garching, Germany also at Institute for Astro- and Particle Physics, University of Innsbruck, 6020 Innsbruck, Austria Herrera, J. Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, 38200, La Laguna, Tenerife, Spain Hrupec, D. ORCID:0000-0002-7027-5021 Boskovic Inst., Zagreb Croatian MAGIC Group: Josip Juraj Strossmayer University of Osijek, Department of Physics, 31000 Osijek, Croatia Hütten, M. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Imazawa, R. Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 7398526 Hiroshima, Japan Ishio, K. Lodz U. Torun, Copernicus Astron. Ctr. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Institute of Astronomy, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, Grudziadzka 5, 87-100 Torun, Poland Mart'inez, I. Jim'enez ORCID:0000-0003-2150-6919 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain Jormanainen, J. Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland Kayanoki, T. ORCID:0000-0002-6960-9274 Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 7398526 Hiroshima, Japan Kerszberg, D. Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), 08193 Bellaterra (Barcelona), Spain Kluge, G.W. Bergen U. Oslo U. Department for Physics and Technology, University of Bergen, Norway also at Department of Physics, University of Oslo, Oslo, Norway Kobayashi, Y. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Kouch, P.M. ORCID:0000-0002-9328-2750 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland Kubo, H. ORCID:0000-0001-9159-9853 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Kushida, J. ORCID:0000-0002-8002-8585 Tokai U., Hiratsuka Japanese MAGIC Group: Department of Physics, Tokai University, Hiratsuka, 259-1292 Kanagawa, Japan L'ainez, M. HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, 28040 Madrid, Spain Lamastra, A. INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy Leone, F. INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy Lindfors, E. Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland Linhoff, L. ORCID:0000-0001-6330-7286 Tech. U., Dortmund (main) Technische Universität Dortmund, 44221 Dortmund, Germany Lombardi, S. ORCID:0000-0002-6336-865X INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy Longo, F. ORCID:0000-0003-2501-2270 Udine U. INFN, Trieste Trieste U. Università di Udine and INFN Trieste, 33100 Udine, Italy also at Dipartimento di Fisica, Università di Trieste, 34127 Trieste, Italy L'opez-Coto, R. ORCID:0000-0002-3882-9477 IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain L'opez-Moya, M. L'opez-Oramas, A. Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, 38200, La Laguna, Tenerife, Spain Loporchio, S. ORCID:0000-0003-4457-5431 Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, 70125 Bari, Italy Lorini, A. INFN, Pisa Siena U. Università di Siena and INFN Pisa, 53100 Siena, Italy Lyard, E. Geneva U. University of Geneva, Chemin d’Ecogia 16, 1290 Versoix, Switzerland Fraga, B. Machado de Oliveira ORCID:0000-0002-6395-3410 Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas (CBPF), 22290-180 URCA, Rio de Janeiro (RJ), Brazil Majumdar, P. Saha Inst. Saha Institute of Nuclear Physics, A CI of Homi Bhabha National Institute, Kolkata 700064, West Bengal, India Makariev, M. Sofiya, Inst. Nucl. Res. Inst. for Nucl. Research and Nucl. Energy, Bulgarian Academy of Sciences, 1784 Sofia, Bulgaria Maneva, G. ORCID:0000-0002-5959-4179 Sofiya, Inst. Nucl. Res. Inst. for Nucl. Research and Nucl. Energy, Bulgarian Academy of Sciences, 1784 Sofia, Bulgaria Mang, N. Tech. U., Dortmund (main) Technische Universität Dortmund, 44221 Dortmund, Germany Manganaro, M. Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Mangano, S. ORCID:0000-0001-5872-1191 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain Mannheim, K. Wurzburg U. Universität Würzburg, 97074 Würzburg, Germany Mariotti, M. ORCID:0000-0003-3297-4128 INFN, Padua Padua U. Università di Padova and INFN, 35131 Padova, Italy Mart'inez, M. Mart'inez-Chicharro, M. Mas-Aguilar, A. ORCID:0000-0002-8893-9009 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, 28040 Madrid, Spain Mazin, D. ORCID:0000-0002-2010-4005 Tokyo U., ICRR Garching, Max Planck Inst., MPE Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Max-Planck-Institut für Physik, 85748 Garching, Germany Menchiari, S. INFN, Pisa Siena U. Università di Siena and INFN Pisa, 53100 Siena, Italy Mender, S. Tech. U., Dortmund (main) Technische Universität Dortmund, 44221 Dortmund, Germany Miceli, D. INFN, Padua Padua U. Università di Padova and INFN, 35131 Padova, Italy Miener, T. HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, 28040 Madrid, Spain Miranda, J.M. ORCID:0000-0002-1472-9690 INFN, Pisa Siena U. Università di Siena and INFN Pisa, 53100 Siena, Italy Mirzoyan, R. ORCID:0000-0003-0163-7233 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, 85748 Garching, Germany Gonz'alez, M. Molero Molina, E. ORCID:0000-0003-1204-5516 Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, 38200, La Laguna, Tenerife, Spain Mondal, H.A. ORCID:0000-0001-7217-0234 Saha Inst. Saha Institute of Nuclear Physics, A CI of Homi Bhabha National Institute, Kolkata 700064, West Bengal, India Moralejo, A. ORCID:0000-0002-1344-9080 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), 08193 Bellaterra (Barcelona), Spain Morcuende, D. ORCID:0000-0001-9400-0922 IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain Nakamori, T. ORCID:0000-0002-7308-2356 Yamagata U. Japanese MAGIC Group: Department of Physics, Yamagata University, Yamagata 990-8560, Japan Nanci, C. ORCID:0000-0002-1791-8235 INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy Nava, L. ORCID:0000-0001-5960-0455 INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy Neustroev, V. ORCID:0000-0003-4772-595X Oulu U. Finnish MAGIC Group: Space Physics and Astronomy Research Unit, University of Oulu, 90014 Oulu, Finland Nickel, L. ORCID:0000-0001-7110-0533 Tech. U., Dortmund (main) Technische Universität Dortmund, 44221 Dortmund, Germany Nievas Rosillo, M. ORCID:0000-0002-8321-9168 Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, 38200, La Laguna, Tenerife, Spain Nigro, C. Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), 08193 Bellaterra (Barcelona), Spain Nikoli'c, L. ORCID:0009-0002-8365-6701 INFN, Pisa Siena U. Università di Siena and INFN Pisa, 53100 Siena, Italy Nishijima, K. ORCID:0000-0002-1830-4251 Tokai U., Hiratsuka Japanese MAGIC Group: Department of Physics, Tokai University, Hiratsuka, 259-1292 Kanagawa, Japan Ekoume, T. Njoh Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, 38200, La Laguna, Tenerife, Spain Noda, K. Chiba U. Japanese MAGIC Group: Chiba University, ICEHAP, 263-8522 Chiba, Japan Nozaki, S. ORCID:0000-0002-6246-2767 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, 85748 Garching, Germany Ohtani, Y. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Okumura, A. ORCID:0000-0002-3055-7964 KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, 464-6801 Nagoya, Japan Otero-Santos, J. IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain Paiano, S. ORCID:0000-0002-2239-3373 INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy Palatiello, M. Udine U. INFN, Trieste Università di Udine and INFN Trieste, 33100 Udine, Italy Paneque, D. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, 85748 Garching, Germany Paoletti, R. INFN, Pisa Siena U. Università di Siena and INFN Pisa, 53100 Siena, Italy Paredes, J.M. ORCID:0000-0002-1566-9044 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, 08028 Barcelona, Spain Peresano, M. INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, 10125 Torino, Italy Persic, M. ORCID:0000-0003-1853-4900 Udine U. INFN, Trieste CERN INFN, Padua Università di Udine and INFN Trieste, 33100 Udine, Italy also at INAF Padova, Italy Pihet, M. ORCID:0009-0000-4691-3866 INFN, Padua Padua U. Università di Padova and INFN, 35131 Padova, Italy Pirola, G. ORCID:0000-0002-2507-2612 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, 85748 Garching, Germany Podobnik, F. ORCID:0000-0001-6125-9487 INFN, Pisa Siena U. Università di Siena and INFN Pisa, 53100 Siena, Italy Prada Moroni, P.G. ORCID:0000-0001-9712-9916 Pisa U. Università di Pisa and INFN Pisa, 56126 Pisa, Italy Prandini, E. ORCID:0000-0003-4502-9053 INFN, Padua Padua U. Università di Padova and INFN, 35131 Padova, Italy Principe, G. ORCID:0000-0003-0406-7387 Udine U. INFN, Trieste Università di Udine and INFN Trieste, 33100 Udine, Italy Priyadarshi, C. ORCID:0000-0002-9160-9617 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), 08193 Bellaterra (Barcelona), Spain Rhode, W. ORCID:0000-0003-2636-5000 Tech. U., Dortmund (main) Technische Universität Dortmund, 44221 Dortmund, Germany Rib'o, M. ORCID:0000-0002-9931-4557 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, 08028 Barcelona, Spain Rico, J. ORCID:0000-0003-4137-1134 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), 08193 Bellaterra (Barcelona), Spain Righi, C. INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy Sahakyan, N. ICRANet, Yerevan Armenian MAGIC Group: ICRANet-Armenia, 0019 Yerevan, Armenia Saito, T. ORCID:0000-0001-6201-3761 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Satalecka, K. Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland Saturni, F.G. ORCID:0000-0002-1946-7706 INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy Schleicher, B. Wurzburg U. Universität Würzburg, 97074 Würzburg, Germany Schmidt, K. Tech. U., Dortmund (main) Technische Universität Dortmund, 44221 Dortmund, Germany Schmuckermaier, F. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, 85748 Garching, Germany Schubert, J.L. Tech. U., Dortmund (main) Technische Universität Dortmund, 44221 Dortmund, Germany Schweizer, T. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, 85748 Garching, Germany Sciaccaluga, A. ORCID:0000-0001-6181-839X INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy Silvestri, G. INFN, Padua Padua U. Università di Padova and INFN, 35131 Padova, Italy Sitarek, J. ORCID:0000-0002-1659-5374 Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Sliusar, V. ORCID:0000-0002-4387-9372 Geneva U. University of Geneva, Chemin d’Ecogia 16, 1290 Versoix, Switzerland Sobczynska, D. ORCID:0000-0003-4973-7903 Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Spolon, A. INFN, Padua Padua U. Università di Padova and INFN, 35131 Padova, Italy Stamerra, A. INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy Striskovi'c, J. Boskovic Inst., Zagreb Croatian MAGIC Group: Josip Juraj Strossmayer University of Osijek, Department of Physics, 31000 Osijek, Croatia Strom, D. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, 85748 Garching, Germany Strzys, M. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Suda, Y. Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 7398526 Hiroshima, Japan Suutarinen, S. Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland Tajima, H. KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, 464-6801 Nagoya, Japan Takahashi, M. ORCID:0000-0002-0574-6018 KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, 464-6801 Nagoya, Japan Takeishi, R. ORCID:0000-0001-6335-5317 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Temnikov, P. ORCID:0000-0002-9559-3384 Sofiya, Inst. Nucl. Res. Inst. for Nucl. Research and Nucl. Energy, Bulgarian Academy of Sciences, 1784 Sofia, Bulgaria Terauchi, K. Kyoto U. Japanese MAGIC Group: Department of Physics, Kyoto University, 606-8502 Kyoto, Japan Terzi'c, T. ORCID:0000-0002-4209-3407 Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Teshima, M. ORCID:0009-0003-3424-2534 Garching, Max Planck Inst., MPE Tokyo U., ICRR Max-Planck-Institut für Physik, 85748 Garching, Germany Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Truzzi, S. INFN, Pisa Siena U. Università di Siena and INFN Pisa, 53100 Siena, Italy Tutone, A. ORCID:0000-0002-2840-0001 INAF, Rome National Institute for Astrophysics (INAF), 00136 Rome, Italy Ubach, S. ORCID:0000-0002-6159-5883 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain van Scherpenberg, J. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, 85748 Garching, Germany Vazquez Acosta, M. ORCID:0000-0002-2409-9792 Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, 38200, La Laguna, Tenerife, Spain Ventura, S. INFN, Pisa Siena U. Università di Siena and INFN Pisa, 53100 Siena, Italy Viale, I. ORCID:0000-0001-5031-5930 INFN, Padua Padua U. Università di Padova and INFN, 35131 Padova, Italy Vigorito, C.F. INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, 10125 Torino, Italy Vitale, V. INFN, Rome2 INFN MAGIC Group: INFN Roma Tor Vergata, 00133 Roma, Italy Vovk, I. ORCID:0000-0003-3444-3830 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Walter, R. Geneva U. University of Geneva, Chemin d’Ecogia 16, 1290 Versoix, Switzerland Will, M. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, 85748 Garching, Germany Wunderlich, C. INFN, Pisa Siena U. Università di Siena and INFN Pisa, 53100 Siena, Italy Yamamoto, T. ORCID:0000-0001-9734-8203 Konan U. Japanese MAGIC Group: Department of Physics, Konan University, Kobe, Hyogo 658-8501, Japan Di Tria, R. ORCID:0009-0007-1088-5307 Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, 70125 Bari, Italy Di Venere, L. ORCID:0000-0003-0703-824X Bari U. INFN, Bari INFN Sezione di Bari, 70125 Bari, Italy Giordano, F. Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, 70125 Bari, Italy Bissaldi, E. ORCID:0000-0001-9935-8106 Bari Polytechnic INFN, Bari INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, 70125 Bari, Italy Green, D. ORCID:0000-0003-0768-2203 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, 85748 Garching, Germany Morlino, G. ORCID:0000-0002-5014-4817 Arcetri Observ. INAF, Osservatorio Astrofisico di Arcetri, 50125 Firenze, Italy A255 Astron. Astrophys. 693 2025 2715057 107929 http://cds.cern.ch/record/2924847/files/template_W44_thor.png 00004 Templates for the spatial modeling of SNR \w 44. a)-b) Elliptical ring (whole and divided) from \cite{w44_fermi_abdo_2010}. c)-d) Best full-ellipse (whole and divided). e) Radio template (1420MHz) from the THOR survey \citep{thor_survey_beuther_2016}. 2715058 32661 http://cds.cern.ch/record/2924847/files/SED_models_W44_SE_last.png 00012 Gamma-ray emission from sources NW (top panel) and SE (bottom) compared to our model. The dashed gray line shows the emission from the high-energy particles escaping from the shock alone. The dashed pink line also includes an additional component due to Galactic CRs interacting with the cloud material, and the dashed orange line shows the sum of the dashed gray line with the contribution from the low-energy particles escaping from the broken-shock region. For comparison, the black points and dashed lines refer to the \w44 emission. 2715059 3636 http://cds.cern.ch/record/2924847/files/ellipse_ring_divided_115deg.png 00001 Templates for the spatial modeling of SNR \w 44. a)-b) Elliptical ring (whole and divided) from \cite{w44_fermi_abdo_2010}. c)-d) Best full-ellipse (whole and divided). e) Radio template (1420MHz) from the THOR survey \citep{thor_survey_beuther_2016}. 2715060 31509 http://cds.cern.ch/record/2924847/files/SED_NW_SE_fit_last.png 00008 SEDs of the two sources NW and SE with \fermi-LAT data and MAGIC ULs. 2715061 52093 http://cds.cern.ch/record/2924847/files/psmap_W44_fit_ext_disks_last.png 00005 \textit{Fermi}-LAT deviation probability map, or PS map, of the \w 44 surroundings with the best model obtained from the likelihood analysis. The white contours represent the \W 44 radio template adopted in the analysis, derived from the template reported in Fig. \ref{w44_templates}e). The red crosses and circles show the new point-like and extended sources we added and fit in this analysis, and the black crosses and circles correspond to sources in the 4FGL-DR2 \textit{Fermi}-LAT catalog for which the morphology was not changed. The radii of the circles represent the $r_{68}$ of the extended sources that were modeled with a disk shape. 2715062 34975 http://cds.cern.ch/record/2924847/files/SED_models_W44_NW_last.png 00011 Gamma-ray emission from sources NW (top panel) and SE (bottom) compared to our model. The dashed gray line shows the emission from the high-energy particles escaping from the shock alone. The dashed pink line also includes an additional component due to Galactic CRs interacting with the cloud material, and the dashed orange line shows the sum of the dashed gray line with the contribution from the low-energy particles escaping from the broken-shock region. For comparison, the black points and dashed lines refer to the \w44 emission. 2715063 10830 http://cds.cern.ch/record/2924847/files/SED_W44_fit_last.png 00007 SED of SNR \w 44 (only \fermi-LAT data). The solid line shows the best-fit curve obtained with an LP model, and the dashed lines represent the 1 $\sigma$ uncertainty. 2715064 8356 http://cds.cern.ch/record/2924847/files/SED_galdiff_SE_last.png 00014 Galactic diffuse background $E^{2}dN/dE$ (dashed orange line) evaluated in correspondence of the sources NW (top panel), SE (middle panel) and Diffuse Disk (bottom panel). 2715065 1405973 http://cds.cern.ch/record/2924847/files/2501.03889.pdf Fulltext 2715066 8529 http://cds.cern.ch/record/2924847/files/SED_galdiff_Diff_Disk_last.png 00015 Galactic diffuse background $E^{2}dN/dE$ (dashed orange line) evaluated in correspondence of the sources NW (top panel), SE (middle panel) and Diffuse Disk (bottom panel). 2715067 21315 http://cds.cern.ch/record/2924847/files/SED_model_CRs_NW_last.png 00010 Gamma-ray emission from source NW compared to the pp emission due to Galactic CRs from a target mass equal to $5.5 \times 10^4\, M_{\odot}$. 2715068 9098 http://cds.cern.ch/record/2924847/files/SED_galdiff_NW_last.png 00013 Galactic diffuse background $E^{2}dN/dE$ (dashed orange line) evaluated in correspondence of the sources NW (top panel), SE (middle panel) and Diffuse Disk (bottom panel). 2715069 2622 http://cds.cern.ch/record/2924847/files/fullellipse_115deg_041_023.png 00002 Templates for the spatial modeling of SNR \w 44. a)-b) Elliptical ring (whole and divided) from \cite{w44_fermi_abdo_2010}. c)-d) Best full-ellipse (whole and divided). e) Radio template (1420MHz) from the THOR survey \citep{thor_survey_beuther_2016}. 2715070 3912 http://cds.cern.ch/record/2924847/files/template_w44_catalog.png 00000 Templates for the spatial modeling of SNR \w 44. a)-b) Elliptical ring (whole and divided) from \cite{w44_fermi_abdo_2010}. c)-d) Best full-ellipse (whole and divided). e) Radio template (1420MHz) from the THOR survey \citep{thor_survey_beuther_2016}. 2715071 1305243 http://cds.cern.ch/record/2924847/files/document.pdf Fulltext 2715072 153541 http://cds.cern.ch/record/2924847/files/CO_overlap_w44_disks_viridis_last.png 00006 CO template derived from FUGIN survey in the velocity interval (38.6, 49.8) km/s. The template is the sum of the $^{12}$CO and $^{13}$CO data. For comparison, the white contours and circles represent the W44 radio contours and the extended sources derived from the \textit{Fermi}-LAT analysis. 2715073 59442 http://cds.cern.ch/record/2924847/files/RelFluxMap_W44_stacked_ZdCombined_COmap_0_crop.png 00009 Relative flux map of the region observed with the MAGIC telescopes. The modeled sources MAGIC\,J1857.2+0263, MAGIC\,J1857.6+0297, and HESS\,J1858+020 are marked with white diamonds. The center of \w44 is marked with a green cross. We also show the location of HESS\,J1857+026 from \citet{abdalla_hess_2018} with a dark blue triangle. The NW center position is marked with a yellow star, and the extension is indicated by the yellow circle. The 39\% and 68\% containment contours of the MAGIC PSF are depicted in the bottom left corner. 2715074 3780 http://cds.cern.ch/record/2924847/files/full_ellipse_divided_125deg.png 00003 Templates for the spatial modeling of SNR \w 44. a)-b) Elliptical ring (whole and divided) from \cite{w44_fermi_abdo_2010}. c)-d) Best full-ellipse (whole and divided). e) Radio template (1420MHz) from the THOR survey \citep{thor_survey_beuther_2016}. 13 ARTICLE 2924190 20250725102042.0 oai:cds.cern.ch:2924190 cerncds:FULLTEXT OPEN-PHO-ACCEL-2025-004 Habsburg, Amedeo AUTHOR|(CDS)2867844 leopold.amedeo.habsburg-lothringen@cern.ch RFQ test facility 2250 2025 Geneva CERN 2025-01-31 General Photo A 750 MHz radiofrequency quadrupole (RFQ) is being conditioned at CERN’s 2250 test facility. This accelerator serves as a proof of principle for a linac-based carbon ion facility. This RFQ will accelerate protons, helium ions and fully stripped carbon ions to a final energy of 2.5 MeV/u, which is a step forward from the previous RFQ design focusing on protons alone. After the RFQ, the particles will be further accelerated in IH-type RF structures. In addition, CERN’s Accelerator Beam Physics group and the University of Sarajevo (UNSA) Physics Department propose a compact linear accelerator design for applied physics research. This collaboration serves as an example of how to transfer CERN knowledge and technology to societal applications. The accelerator, consisting of an ion source, a low-energy beam transport line, and a 0.5 MeV/u RFQ, is named the Sarajevo Ion Accelerator (SARAI). The SARAI source is due in the next months, and after commissioning, it will serve as an injector into the RFQ too. SARAI's main purpose is to conduct research, spanning from beam dynamics studies to material surface analysis. CERN 2025 CERN EDS OPEN SzGeCERN Accelerators SzGeCERN Open medical applications CERN RFQ CERN accelerator CERN CERN PHOTO Lombardi, Alessandra AUTHOR|(CDS)2108735 CERN Alessandra.Lombardi@cern.ch 2713403 22307840 http://cds.cern.ch/record/2924190/files/L1013043.JPG 2713404 20676608 http://cds.cern.ch/record/2924190/files/L1013044.JPG 2713405 20109312 http://cds.cern.ch/record/2924190/files/L1013045.JPG 2713406 17392128 http://cds.cern.ch/record/2924190/files/L1013046.JPG 2713407 17505280 http://cds.cern.ch/record/2924190/files/L1013047.JPG 2713408 17772032 http://cds.cern.ch/record/2924190/files/L1013048.JPG 2713409 16728576 http://cds.cern.ch/record/2924190/files/L1013049.JPG 2713410 17734656 http://cds.cern.ch/record/2924190/files/L1013050.JPG 2713411 18741248 http://cds.cern.ch/record/2924190/files/L1013051.JPG 2713412 17001472 http://cds.cern.ch/record/2924190/files/L1013052.JPG 2713413 17442816 http://cds.cern.ch/record/2924190/files/L1013053.JPG 2713414 16692224 http://cds.cern.ch/record/2924190/files/L1013054.JPG 2713415 18796544 http://cds.cern.ch/record/2924190/files/L1013055.JPG 2713416 19231744 http://cds.cern.ch/record/2924190/files/L1013056.JPG 2713417 18492416 http://cds.cern.ch/record/2924190/files/L1013057.JPG 2713418 20868608 http://cds.cern.ch/record/2924190/files/L1013058.JPG 2713419 20620288 http://cds.cern.ch/record/2924190/files/L1013059.JPG 2713420 20791808 http://cds.cern.ch/record/2924190/files/L1013060.JPG 2713421 21880832 http://cds.cern.ch/record/2924190/files/L1013061.JPG 2713422 19706880 http://cds.cern.ch/record/2924190/files/L1013062.JPG 2713423 20614656 http://cds.cern.ch/record/2924190/files/L1013063.JPG 2713424 17797120 http://cds.cern.ch/record/2924190/files/L1013064.JPG 2713425 18156032 http://cds.cern.ch/record/2924190/files/L1013065.JPG 2713426 18626560 http://cds.cern.ch/record/2924190/files/L1013066.JPG 2713427 17925632 http://cds.cern.ch/record/2924190/files/L1013067.JPG 2713428 17220096 http://cds.cern.ch/record/2924190/files/L1013068.JPG 2713429 17742848 http://cds.cern.ch/record/2924190/files/L1013069.JPG 2713430 18329088 http://cds.cern.ch/record/2924190/files/L1013070.JPG 2713431 17218048 http://cds.cern.ch/record/2924190/files/L1013071.JPG 2713432 17980928 http://cds.cern.ch/record/2924190/files/L1013072.JPG 2713433 19320832 http://cds.cern.ch/record/2924190/files/L1013073.JPG 2713434 18276864 http://cds.cern.ch/record/2924190/files/L1013074.JPG 2713435 15086080 http://cds.cern.ch/record/2924190/files/L1013075.JPG 2713436 16369664 http://cds.cern.ch/record/2924190/files/L1013076.JPG 2713437 17441280 http://cds.cern.ch/record/2924190/files/L1013077.JPG 2713438 19040768 http://cds.cern.ch/record/2924190/files/L1013078.JPG 2713439 19709952 http://cds.cern.ch/record/2924190/files/L1013079.JPG 2713440 19517952 http://cds.cern.ch/record/2924190/files/L1013080.JPG 2713441 21047808 http://cds.cern.ch/record/2924190/files/L1013081.JPG 2713442 20624896 http://cds.cern.ch/record/2924190/files/L1013082.JPG 2713443 21323776 http://cds.cern.ch/record/2924190/files/L1013083.JPG 2713444 21126656 http://cds.cern.ch/record/2924190/files/L1013084.JPG 2713445 21029376 http://cds.cern.ch/record/2924190/files/L1013085.JPG 2713446 20265984 http://cds.cern.ch/record/2924190/files/L1013086.JPG 2713447 22219264 http://cds.cern.ch/record/2924190/files/L1013087.JPG 2713448 18395648 http://cds.cern.ch/record/2924190/files/L1013088.JPG 2713449 19228160 http://cds.cern.ch/record/2924190/files/L1013089.JPG 2713450 19183616 http://cds.cern.ch/record/2924190/files/L1013090.JPG 2713451 21714944 http://cds.cern.ch/record/2924190/files/L1013091.JPG 2713452 21134336 http://cds.cern.ch/record/2924190/files/L1013092.JPG 2713453 22156288 http://cds.cern.ch/record/2924190/files/L1013093.JPG 2713454 22575616 http://cds.cern.ch/record/2924190/files/L1013094.JPG 2713455 20622848 http://cds.cern.ch/record/2924190/files/L1013095.JPG 2713456 20734464 http://cds.cern.ch/record/2924190/files/L1013096.JPG 2713457 20773888 http://cds.cern.ch/record/2924190/files/L1013097.JPG 2713458 20534784 http://cds.cern.ch/record/2924190/files/L1013098.JPG 2713459 19959296 http://cds.cern.ch/record/2924190/files/L1013099.JPG 2713460 17445888 http://cds.cern.ch/record/2924190/files/L1013100.JPG 2713461 18260992 http://cds.cern.ch/record/2924190/files/L1013101.JPG 2713462 21042688 http://cds.cern.ch/record/2924190/files/L1013102.JPG 2713463 20953088 http://cds.cern.ch/record/2924190/files/L1013103.JPG 2713464 20847104 http://cds.cern.ch/record/2924190/files/L1013104.JPG 2713465 19335168 http://cds.cern.ch/record/2924190/files/L1013105.JPG 2713466 18564096 http://cds.cern.ch/record/2924190/files/L1013106.JPG 2713467 18738176 http://cds.cern.ch/record/2924190/files/L1013107.JPG 2713468 20453888 http://cds.cern.ch/record/2924190/files/L1013108.JPG 2713469 19644416 http://cds.cern.ch/record/2924190/files/L1013109.JPG 2713470 21150208 http://cds.cern.ch/record/2924190/files/L1013110.JPG 2713471 21386752 http://cds.cern.ch/record/2924190/files/L1013111.JPG 2713472 21751808 http://cds.cern.ch/record/2924190/files/L1013112.JPG 2713473 21702656 http://cds.cern.ch/record/2924190/files/L1013113.JPG 2713474 17990656 http://cds.cern.ch/record/2924190/files/L1013114.JPG 2713475 18368000 http://cds.cern.ch/record/2924190/files/L1013115.JPG 2713476 19416576 http://cds.cern.ch/record/2924190/files/L1013116.JPG 2713477 20617216 http://cds.cern.ch/record/2924190/files/L1013117.JPG 2713478 21487104 http://cds.cern.ch/record/2924190/files/L1013118.JPG 2713479 20206592 http://cds.cern.ch/record/2924190/files/L1013119.JPG 2713480 18329088 http://cds.cern.ch/record/2924190/files/L1013120.JPG 2713481 19363328 http://cds.cern.ch/record/2924190/files/L1013121.JPG 2713482 18871296 http://cds.cern.ch/record/2924190/files/L1013122.JPG 2713483 22138880 http://cds.cern.ch/record/2924190/files/L1013123.JPG 2713484 21903872 http://cds.cern.ch/record/2924190/files/L1013124.JPG 2713485 22362112 http://cds.cern.ch/record/2924190/files/L1013125.JPG 2713486 22114816 http://cds.cern.ch/record/2924190/files/L1013126.JPG 2713487 22081024 http://cds.cern.ch/record/2924190/files/L1013127.JPG 2713488 19970048 http://cds.cern.ch/record/2924190/files/L1013128.JPG 2713489 20001280 http://cds.cern.ch/record/2924190/files/L1013129.JPG 2713490 19017216 http://cds.cern.ch/record/2924190/files/L1013130.JPG 2713491 19441152 http://cds.cern.ch/record/2924190/files/L1013131.JPG 2713492 19090432 http://cds.cern.ch/record/2924190/files/L1013132.JPG 2713493 21516800 http://cds.cern.ch/record/2924190/files/L1013133.JPG 2713494 20925440 http://cds.cern.ch/record/2924190/files/L1013134.JPG 2713495 20986880 http://cds.cern.ch/record/2924190/files/L1013135.JPG 2713496 20312064 http://cds.cern.ch/record/2924190/files/L1013136.JPG 2713497 19978752 http://cds.cern.ch/record/2924190/files/L1013137.JPG 2713498 19604480 http://cds.cern.ch/record/2924190/files/L1013138.JPG 2713499 20888576 http://cds.cern.ch/record/2924190/files/L1013139.JPG 2713500 21147648 http://cds.cern.ch/record/2924190/files/L1013140.JPG 2713501 21694464 http://cds.cern.ch/record/2924190/files/L1013141.JPG 2713502 21356544 http://cds.cern.ch/record/2924190/files/L1013142.JPG 2713503 20786176 http://cds.cern.ch/record/2924190/files/L1013143.JPG 2713403 1188970 http://cds.cern.ch/record/2924190/files/L1013043.jpg?subformat=icon-1440 icon-1440 2713403 136904 http://cds.cern.ch/record/2924190/files/L1013043.jpg?subformat=icon-180 icon-180 2713403 366232 http://cds.cern.ch/record/2924190/files/L1013043.jpg?subformat=icon-640 icon-640 2713404 1159281 http://cds.cern.ch/record/2924190/files/L1013044.jpg?subformat=icon-1440 icon-1440 2713404 136874 http://cds.cern.ch/record/2924190/files/L1013044.jpg?subformat=icon-180 icon-180 2713404 363617 http://cds.cern.ch/record/2924190/files/L1013044.jpg?subformat=icon-640 icon-640 2713405 1152120 http://cds.cern.ch/record/2924190/files/L1013045.jpg?subformat=icon-1440 icon-1440 2713405 136902 http://cds.cern.ch/record/2924190/files/L1013045.jpg?subformat=icon-180 icon-180 2713405 364293 http://cds.cern.ch/record/2924190/files/L1013045.jpg?subformat=icon-640 icon-640 2713406 1010532 http://cds.cern.ch/record/2924190/files/L1013046.jpg?subformat=icon-1440 icon-1440 2713406 136311 http://cds.cern.ch/record/2924190/files/L1013046.jpg?subformat=icon-180 icon-180 2713406 340925 http://cds.cern.ch/record/2924190/files/L1013046.jpg?subformat=icon-640 icon-640 2713407 136430 http://cds.cern.ch/record/2924190/files/L1013047.jpg?subformat=icon-180 icon-180 2713407 335570 http://cds.cern.ch/record/2924190/files/L1013047.jpg?subformat=icon-640 icon-640 2713407 983518 http://cds.cern.ch/record/2924190/files/L1013047.jpg?subformat=icon-1440 icon-1440 2713408 136365 http://cds.cern.ch/record/2924190/files/L1013048.jpg?subformat=icon-180 icon-180 2713408 333651 http://cds.cern.ch/record/2924190/files/L1013048.jpg?subformat=icon-640 icon-640 2713408 983636 http://cds.cern.ch/record/2924190/files/L1013048.jpg?subformat=icon-1440 icon-1440 2713409 136123 http://cds.cern.ch/record/2924190/files/L1013049.jpg?subformat=icon-180 icon-180 2713409 322489 http://cds.cern.ch/record/2924190/files/L1013049.jpg?subformat=icon-640 icon-640 2713409 908268 http://cds.cern.ch/record/2924190/files/L1013049.jpg?subformat=icon-1440 icon-1440 2713410 1031393 http://cds.cern.ch/record/2924190/files/L1013050.jpg?subformat=icon-1440 icon-1440 2713410 135154 http://cds.cern.ch/record/2924190/files/L1013050.jpg?subformat=icon-180 icon-180 2713410 338237 http://cds.cern.ch/record/2924190/files/L1013050.jpg?subformat=icon-640 icon-640 2713411 1074492 http://cds.cern.ch/record/2924190/files/L1013051.jpg?subformat=icon-1440 icon-1440 2713411 135709 http://cds.cern.ch/record/2924190/files/L1013051.jpg?subformat=icon-180 icon-180 2713411 346031 http://cds.cern.ch/record/2924190/files/L1013051.jpg?subformat=icon-640 icon-640 2713412 1000453 http://cds.cern.ch/record/2924190/files/L1013052.jpg?subformat=icon-1440 icon-1440 2713412 135125 http://cds.cern.ch/record/2924190/files/L1013052.jpg?subformat=icon-180 icon-180 2713412 335053 http://cds.cern.ch/record/2924190/files/L1013052.jpg?subformat=icon-640 icon-640 2713413 1002732 http://cds.cern.ch/record/2924190/files/L1013053.jpg?subformat=icon-1440 icon-1440 2713413 136864 http://cds.cern.ch/record/2924190/files/L1013053.jpg?subformat=icon-180 icon-180 2713413 342387 http://cds.cern.ch/record/2924190/files/L1013053.jpg?subformat=icon-640 icon-640 2713414 136726 http://cds.cern.ch/record/2924190/files/L1013054.jpg?subformat=icon-180 icon-180 2713414 332707 http://cds.cern.ch/record/2924190/files/L1013054.jpg?subformat=icon-640 icon-640 2713414 953264 http://cds.cern.ch/record/2924190/files/L1013054.jpg?subformat=icon-1440 icon-1440 2713415 1093301 http://cds.cern.ch/record/2924190/files/L1013055.jpg?subformat=icon-1440 icon-1440 2713415 137877 http://cds.cern.ch/record/2924190/files/L1013055.jpg?subformat=icon-180 icon-180 2713415 362719 http://cds.cern.ch/record/2924190/files/L1013055.jpg?subformat=icon-640 icon-640 2713416 1102113 http://cds.cern.ch/record/2924190/files/L1013056.jpg?subformat=icon-1440 icon-1440 2713416 137585 http://cds.cern.ch/record/2924190/files/L1013056.jpg?subformat=icon-180 icon-180 2713416 361554 http://cds.cern.ch/record/2924190/files/L1013056.jpg?subformat=icon-640 icon-640 2713417 1051891 http://cds.cern.ch/record/2924190/files/L1013057.jpg?subformat=icon-1440 icon-1440 2713417 137225 http://cds.cern.ch/record/2924190/files/L1013057.jpg?subformat=icon-180 icon-180 2713417 352924 http://cds.cern.ch/record/2924190/files/L1013057.jpg?subformat=icon-640 icon-640 2713418 1135203 http://cds.cern.ch/record/2924190/files/L1013058.jpg?subformat=icon-1440 icon-1440 2713418 137625 http://cds.cern.ch/record/2924190/files/L1013058.jpg?subformat=icon-180 icon-180 2713418 363606 http://cds.cern.ch/record/2924190/files/L1013058.jpg?subformat=icon-640 icon-640 2713419 1132790 http://cds.cern.ch/record/2924190/files/L1013059.jpg?subformat=icon-1440 icon-1440 2713419 137569 http://cds.cern.ch/record/2924190/files/L1013059.jpg?subformat=icon-180 icon-180 2713419 363464 http://cds.cern.ch/record/2924190/files/L1013059.jpg?subformat=icon-640 icon-640 2713420 1088093 http://cds.cern.ch/record/2924190/files/L1013060.jpg?subformat=icon-1440 icon-1440 2713420 136647 http://cds.cern.ch/record/2924190/files/L1013060.jpg?subformat=icon-180 icon-180 2713420 351755 http://cds.cern.ch/record/2924190/files/L1013060.jpg?subformat=icon-640 icon-640 2713421 1192120 http://cds.cern.ch/record/2924190/files/L1013061.jpg?subformat=icon-1440 icon-1440 2713421 137994 http://cds.cern.ch/record/2924190/files/L1013061.jpg?subformat=icon-180 icon-180 2713421 371294 http://cds.cern.ch/record/2924190/files/L1013061.jpg?subformat=icon-640 icon-640 2713422 1120632 http://cds.cern.ch/record/2924190/files/L1013062.jpg?subformat=icon-1440 icon-1440 2713422 137455 http://cds.cern.ch/record/2924190/files/L1013062.jpg?subformat=icon-180 icon-180 2713422 361778 http://cds.cern.ch/record/2924190/files/L1013062.jpg?subformat=icon-640 icon-640 2713423 1159565 http://cds.cern.ch/record/2924190/files/L1013063.jpg?subformat=icon-1440 icon-1440 2713423 137989 http://cds.cern.ch/record/2924190/files/L1013063.jpg?subformat=icon-180 icon-180 2713423 369149 http://cds.cern.ch/record/2924190/files/L1013063.jpg?subformat=icon-640 icon-640 2713424 136685 http://cds.cern.ch/record/2924190/files/L1013064.jpg?subformat=icon-180 icon-180 2713424 334238 http://cds.cern.ch/record/2924190/files/L1013064.jpg?subformat=icon-640 icon-640 2713424 969604 http://cds.cern.ch/record/2924190/files/L1013064.jpg?subformat=icon-1440 icon-1440 2713425 136545 http://cds.cern.ch/record/2924190/files/L1013065.jpg?subformat=icon-180 icon-180 2713425 331106 http://cds.cern.ch/record/2924190/files/L1013065.jpg?subformat=icon-640 icon-640 2713425 968608 http://cds.cern.ch/record/2924190/files/L1013065.jpg?subformat=icon-1440 icon-1440 2713426 136338 http://cds.cern.ch/record/2924190/files/L1013066.jpg?subformat=icon-180 icon-180 2713426 326140 http://cds.cern.ch/record/2924190/files/L1013066.jpg?subformat=icon-640 icon-640 2713426 955351 http://cds.cern.ch/record/2924190/files/L1013066.jpg?subformat=icon-1440 icon-1440 2713427 135938 http://cds.cern.ch/record/2924190/files/L1013067.jpg?subformat=icon-180 icon-180 2713427 321483 http://cds.cern.ch/record/2924190/files/L1013067.jpg?subformat=icon-640 icon-640 2713427 929919 http://cds.cern.ch/record/2924190/files/L1013067.jpg?subformat=icon-1440 icon-1440 2713428 135618 http://cds.cern.ch/record/2924190/files/L1013068.jpg?subformat=icon-180 icon-180 2713428 309440 http://cds.cern.ch/record/2924190/files/L1013068.jpg?subformat=icon-640 icon-640 2713428 885577 http://cds.cern.ch/record/2924190/files/L1013068.jpg?subformat=icon-1440 icon-1440 2713429 136346 http://cds.cern.ch/record/2924190/files/L1013069.jpg?subformat=icon-180 icon-180 2713429 315570 http://cds.cern.ch/record/2924190/files/L1013069.jpg?subformat=icon-640 icon-640 2713429 909824 http://cds.cern.ch/record/2924190/files/L1013069.jpg?subformat=icon-1440 icon-1440 2713430 135736 http://cds.cern.ch/record/2924190/files/L1013070.jpg?subformat=icon-180 icon-180 2713430 321194 http://cds.cern.ch/record/2924190/files/L1013070.jpg?subformat=icon-640 icon-640 2713430 938352 http://cds.cern.ch/record/2924190/files/L1013070.jpg?subformat=icon-1440 icon-1440 2713431 135861 http://cds.cern.ch/record/2924190/files/L1013071.jpg?subformat=icon-180 icon-180 2713431 318792 http://cds.cern.ch/record/2924190/files/L1013071.jpg?subformat=icon-640 icon-640 2713431 899987 http://cds.cern.ch/record/2924190/files/L1013071.jpg?subformat=icon-1440 icon-1440 2713432 136302 http://cds.cern.ch/record/2924190/files/L1013072.jpg?subformat=icon-180 icon-180 2713432 330996 http://cds.cern.ch/record/2924190/files/L1013072.jpg?subformat=icon-640 icon-640 2713432 962168 http://cds.cern.ch/record/2924190/files/L1013072.jpg?subformat=icon-1440 icon-1440 2713433 163031 http://cds.cern.ch/record/2924190/files/L1013073.jpg?subformat=icon-180 icon-180 2713433 1888846 http://cds.cern.ch/record/2924190/files/L1013073.jpg?subformat=icon-1440 icon-1440 2713433 533892 http://cds.cern.ch/record/2924190/files/L1013073.jpg?subformat=icon-640 icon-640 2713434 136457 http://cds.cern.ch/record/2924190/files/L1013074.jpg?subformat=icon-180 icon-180 2713434 331388 http://cds.cern.ch/record/2924190/files/L1013074.jpg?subformat=icon-640 icon-640 2713434 966906 http://cds.cern.ch/record/2924190/files/L1013074.jpg?subformat=icon-1440 icon-1440 2713435 133895 http://cds.cern.ch/record/2924190/files/L1013075.jpg?subformat=icon-180 icon-180 2713435 291879 http://cds.cern.ch/record/2924190/files/L1013075.jpg?subformat=icon-640 icon-640 2713435 795539 http://cds.cern.ch/record/2924190/files/L1013075.jpg?subformat=icon-1440 icon-1440 2713436 134441 http://cds.cern.ch/record/2924190/files/L1013076.jpg?subformat=icon-180 icon-180 2713436 308188 http://cds.cern.ch/record/2924190/files/L1013076.jpg?subformat=icon-640 icon-640 2713436 878736 http://cds.cern.ch/record/2924190/files/L1013076.jpg?subformat=icon-1440 icon-1440 2713437 159063 http://cds.cern.ch/record/2924190/files/L1013077.jpg?subformat=icon-180 icon-180 2713437 1834350 http://cds.cern.ch/record/2924190/files/L1013077.jpg?subformat=icon-1440 icon-1440 2713437 526259 http://cds.cern.ch/record/2924190/files/L1013077.jpg?subformat=icon-640 icon-640 2713438 1030211 http://cds.cern.ch/record/2924190/files/L1013078.jpg?subformat=icon-1440 icon-1440 2713438 135186 http://cds.cern.ch/record/2924190/files/L1013078.jpg?subformat=icon-180 icon-180 2713438 335576 http://cds.cern.ch/record/2924190/files/L1013078.jpg?subformat=icon-640 icon-640 2713439 1000008 http://cds.cern.ch/record/2924190/files/L1013079.jpg?subformat=icon-1440 icon-1440 2713439 134958 http://cds.cern.ch/record/2924190/files/L1013079.jpg?subformat=icon-180 icon-180 2713439 329331 http://cds.cern.ch/record/2924190/files/L1013079.jpg?subformat=icon-640 icon-640 2713440 134384 http://cds.cern.ch/record/2924190/files/L1013080.jpg?subformat=icon-180 icon-180 2713440 324709 http://cds.cern.ch/record/2924190/files/L1013080.jpg?subformat=icon-640 icon-640 2713440 979684 http://cds.cern.ch/record/2924190/files/L1013080.jpg?subformat=icon-1440 icon-1440 2713441 159682 http://cds.cern.ch/record/2924190/files/L1013081.jpg?subformat=icon-180 icon-180 2713441 2043104 http://cds.cern.ch/record/2924190/files/L1013081.jpg?subformat=icon-1440 icon-1440 2713441 554179 http://cds.cern.ch/record/2924190/files/L1013081.jpg?subformat=icon-640 icon-640 2713442 160147 http://cds.cern.ch/record/2924190/files/L1013082.jpg?subformat=icon-180 icon-180 2713442 1987652 http://cds.cern.ch/record/2924190/files/L1013082.jpg?subformat=icon-1440 icon-1440 2713442 547137 http://cds.cern.ch/record/2924190/files/L1013082.jpg?subformat=icon-640 icon-640 2713443 160653 http://cds.cern.ch/record/2924190/files/L1013083.jpg?subformat=icon-180 icon-180 2713443 2095893 http://cds.cern.ch/record/2924190/files/L1013083.jpg?subformat=icon-1440 icon-1440 2713443 569244 http://cds.cern.ch/record/2924190/files/L1013083.jpg?subformat=icon-640 icon-640 2713444 1170602 http://cds.cern.ch/record/2924190/files/L1013084.jpg?subformat=icon-1440 icon-1440 2713444 137494 http://cds.cern.ch/record/2924190/files/L1013084.jpg?subformat=icon-180 icon-180 2713444 367261 http://cds.cern.ch/record/2924190/files/L1013084.jpg?subformat=icon-640 icon-640 2713445 1158993 http://cds.cern.ch/record/2924190/files/L1013085.jpg?subformat=icon-1440 icon-1440 2713445 137662 http://cds.cern.ch/record/2924190/files/L1013085.jpg?subformat=icon-180 icon-180 2713445 367309 http://cds.cern.ch/record/2924190/files/L1013085.jpg?subformat=icon-640 icon-640 2713446 1151171 http://cds.cern.ch/record/2924190/files/L1013086.jpg?subformat=icon-1440 icon-1440 2713446 137752 http://cds.cern.ch/record/2924190/files/L1013086.jpg?subformat=icon-180 icon-180 2713446 367900 http://cds.cern.ch/record/2924190/files/L1013086.jpg?subformat=icon-640 icon-640 2713447 1172869 http://cds.cern.ch/record/2924190/files/L1013087.jpg?subformat=icon-1440 icon-1440 2713447 137522 http://cds.cern.ch/record/2924190/files/L1013087.jpg?subformat=icon-180 icon-180 2713447 365720 http://cds.cern.ch/record/2924190/files/L1013087.jpg?subformat=icon-640 icon-640 2713448 1004364 http://cds.cern.ch/record/2924190/files/L1013088.jpg?subformat=icon-1440 icon-1440 2713448 135315 http://cds.cern.ch/record/2924190/files/L1013088.jpg?subformat=icon-180 icon-180 2713448 333290 http://cds.cern.ch/record/2924190/files/L1013088.jpg?subformat=icon-640 icon-640 2713449 1048737 http://cds.cern.ch/record/2924190/files/L1013089.jpg?subformat=icon-1440 icon-1440 2713449 135797 http://cds.cern.ch/record/2924190/files/L1013089.jpg?subformat=icon-180 icon-180 2713449 338696 http://cds.cern.ch/record/2924190/files/L1013089.jpg?subformat=icon-640 icon-640 2713450 1045259 http://cds.cern.ch/record/2924190/files/L1013090.jpg?subformat=icon-1440 icon-1440 2713450 135345 http://cds.cern.ch/record/2924190/files/L1013090.jpg?subformat=icon-180 icon-180 2713450 335410 http://cds.cern.ch/record/2924190/files/L1013090.jpg?subformat=icon-640 icon-640 2713451 1167467 http://cds.cern.ch/record/2924190/files/L1013091.jpg?subformat=icon-1440 icon-1440 2713451 136505 http://cds.cern.ch/record/2924190/files/L1013091.jpg?subformat=icon-180 icon-180 2713451 357449 http://cds.cern.ch/record/2924190/files/L1013091.jpg?subformat=icon-640 icon-640 2713452 1136060 http://cds.cern.ch/record/2924190/files/L1013092.jpg?subformat=icon-1440 icon-1440 2713452 136149 http://cds.cern.ch/record/2924190/files/L1013092.jpg?subformat=icon-180 icon-180 2713452 351719 http://cds.cern.ch/record/2924190/files/L1013092.jpg?subformat=icon-640 icon-640 2713453 1161869 http://cds.cern.ch/record/2924190/files/L1013093.jpg?subformat=icon-1440 icon-1440 2713453 136318 http://cds.cern.ch/record/2924190/files/L1013093.jpg?subformat=icon-180 icon-180 2713453 354184 http://cds.cern.ch/record/2924190/files/L1013093.jpg?subformat=icon-640 icon-640 2713454 1147025 http://cds.cern.ch/record/2924190/files/L1013094.jpg?subformat=icon-1440 icon-1440 2713454 136809 http://cds.cern.ch/record/2924190/files/L1013094.jpg?subformat=icon-180 icon-180 2713454 358867 http://cds.cern.ch/record/2924190/files/L1013094.jpg?subformat=icon-640 icon-640 2713455 158042 http://cds.cern.ch/record/2924190/files/L1013095.jpg?subformat=icon-180 icon-180 2713455 2008504 http://cds.cern.ch/record/2924190/files/L1013095.jpg?subformat=icon-1440 icon-1440 2713455 536612 http://cds.cern.ch/record/2924190/files/L1013095.jpg?subformat=icon-640 icon-640 2713456 1088620 http://cds.cern.ch/record/2924190/files/L1013096.jpg?subformat=icon-1440 icon-1440 2713456 137681 http://cds.cern.ch/record/2924190/files/L1013096.jpg?subformat=icon-180 icon-180 2713456 360253 http://cds.cern.ch/record/2924190/files/L1013096.jpg?subformat=icon-640 icon-640 2713457 1081185 http://cds.cern.ch/record/2924190/files/L1013097.jpg?subformat=icon-1440 icon-1440 2713457 136654 http://cds.cern.ch/record/2924190/files/L1013097.jpg?subformat=icon-180 icon-180 2713457 354670 http://cds.cern.ch/record/2924190/files/L1013097.jpg?subformat=icon-640 icon-640 2713458 1104784 http://cds.cern.ch/record/2924190/files/L1013098.jpg?subformat=icon-1440 icon-1440 2713458 138818 http://cds.cern.ch/record/2924190/files/L1013098.jpg?subformat=icon-180 icon-180 2713458 366383 http://cds.cern.ch/record/2924190/files/L1013098.jpg?subformat=icon-640 icon-640 2713459 1026471 http://cds.cern.ch/record/2924190/files/L1013099.jpg?subformat=icon-1440 icon-1440 2713459 138042 http://cds.cern.ch/record/2924190/files/L1013099.jpg?subformat=icon-180 icon-180 2713459 353437 http://cds.cern.ch/record/2924190/files/L1013099.jpg?subformat=icon-640 icon-640 2713460 161197 http://cds.cern.ch/record/2924190/files/L1013100.jpg?subformat=icon-180 icon-180 2713460 1776314 http://cds.cern.ch/record/2924190/files/L1013100.jpg?subformat=icon-1440 icon-1440 2713460 517346 http://cds.cern.ch/record/2924190/files/L1013100.jpg?subformat=icon-640 icon-640 2713461 134860 http://cds.cern.ch/record/2924190/files/L1013101.jpg?subformat=icon-180 icon-180 2713461 320258 http://cds.cern.ch/record/2924190/files/L1013101.jpg?subformat=icon-640 icon-640 2713461 954694 http://cds.cern.ch/record/2924190/files/L1013101.jpg?subformat=icon-1440 icon-1440 2713462 1109609 http://cds.cern.ch/record/2924190/files/L1013102.jpg?subformat=icon-1440 icon-1440 2713462 137796 http://cds.cern.ch/record/2924190/files/L1013102.jpg?subformat=icon-180 icon-180 2713462 364001 http://cds.cern.ch/record/2924190/files/L1013102.jpg?subformat=icon-640 icon-640 2713463 1080078 http://cds.cern.ch/record/2924190/files/L1013103.jpg?subformat=icon-1440 icon-1440 2713463 137944 http://cds.cern.ch/record/2924190/files/L1013103.jpg?subformat=icon-180 icon-180 2713463 358115 http://cds.cern.ch/record/2924190/files/L1013103.jpg?subformat=icon-640 icon-640 2713464 1106039 http://cds.cern.ch/record/2924190/files/L1013104.jpg?subformat=icon-1440 icon-1440 2713464 136704 http://cds.cern.ch/record/2924190/files/L1013104.jpg?subformat=icon-180 icon-180 2713464 351221 http://cds.cern.ch/record/2924190/files/L1013104.jpg?subformat=icon-640 icon-640 2713465 1032785 http://cds.cern.ch/record/2924190/files/L1013105.jpg?subformat=icon-1440 icon-1440 2713465 136486 http://cds.cern.ch/record/2924190/files/L1013105.jpg?subformat=icon-180 icon-180 2713465 341874 http://cds.cern.ch/record/2924190/files/L1013105.jpg?subformat=icon-640 icon-640 2713466 136733 http://cds.cern.ch/record/2924190/files/L1013106.jpg?subformat=icon-180 icon-180 2713466 337821 http://cds.cern.ch/record/2924190/files/L1013106.jpg?subformat=icon-640 icon-640 2713466 994540 http://cds.cern.ch/record/2924190/files/L1013106.jpg?subformat=icon-1440 icon-1440 2713467 1025834 http://cds.cern.ch/record/2924190/files/L1013107.jpg?subformat=icon-1440 icon-1440 2713467 136294 http://cds.cern.ch/record/2924190/files/L1013107.jpg?subformat=icon-180 icon-180 2713467 340296 http://cds.cern.ch/record/2924190/files/L1013107.jpg?subformat=icon-640 icon-640 2713468 1056684 http://cds.cern.ch/record/2924190/files/L1013108.jpg?subformat=icon-1440 icon-1440 2713468 136857 http://cds.cern.ch/record/2924190/files/L1013108.jpg?subformat=icon-180 icon-180 2713468 348247 http://cds.cern.ch/record/2924190/files/L1013108.jpg?subformat=icon-640 icon-640 2713469 1026512 http://cds.cern.ch/record/2924190/files/L1013109.jpg?subformat=icon-1440 icon-1440 2713469 136627 http://cds.cern.ch/record/2924190/files/L1013109.jpg?subformat=icon-180 icon-180 2713469 341965 http://cds.cern.ch/record/2924190/files/L1013109.jpg?subformat=icon-640 icon-640 2713470 1158416 http://cds.cern.ch/record/2924190/files/L1013110.jpg?subformat=icon-1440 icon-1440 2713470 137433 http://cds.cern.ch/record/2924190/files/L1013110.jpg?subformat=icon-180 icon-180 2713470 364845 http://cds.cern.ch/record/2924190/files/L1013110.jpg?subformat=icon-640 icon-640 2713471 1232072 http://cds.cern.ch/record/2924190/files/L1013111.jpg?subformat=icon-1440 icon-1440 2713471 137692 http://cds.cern.ch/record/2924190/files/L1013111.jpg?subformat=icon-180 icon-180 2713471 375473 http://cds.cern.ch/record/2924190/files/L1013111.jpg?subformat=icon-640 icon-640 2713472 1181613 http://cds.cern.ch/record/2924190/files/L1013112.jpg?subformat=icon-1440 icon-1440 2713472 137735 http://cds.cern.ch/record/2924190/files/L1013112.jpg?subformat=icon-180 icon-180 2713472 371586 http://cds.cern.ch/record/2924190/files/L1013112.jpg?subformat=icon-640 icon-640 2713473 1179638 http://cds.cern.ch/record/2924190/files/L1013113.jpg?subformat=icon-1440 icon-1440 2713473 137777 http://cds.cern.ch/record/2924190/files/L1013113.jpg?subformat=icon-180 icon-180 2713473 369779 http://cds.cern.ch/record/2924190/files/L1013113.jpg?subformat=icon-640 icon-640 2713474 134345 http://cds.cern.ch/record/2924190/files/L1013114.jpg?subformat=icon-180 icon-180 2713474 318279 http://cds.cern.ch/record/2924190/files/L1013114.jpg?subformat=icon-640 icon-640 2713474 948153 http://cds.cern.ch/record/2924190/files/L1013114.jpg?subformat=icon-1440 icon-1440 2713475 135327 http://cds.cern.ch/record/2924190/files/L1013115.jpg?subformat=icon-180 icon-180 2713475 324578 http://cds.cern.ch/record/2924190/files/L1013115.jpg?subformat=icon-640 icon-640 2713475 966308 http://cds.cern.ch/record/2924190/files/L1013115.jpg?subformat=icon-1440 icon-1440 2713476 1043427 http://cds.cern.ch/record/2924190/files/L1013116.jpg?subformat=icon-1440 icon-1440 2713476 136061 http://cds.cern.ch/record/2924190/files/L1013116.jpg?subformat=icon-180 icon-180 2713476 341479 http://cds.cern.ch/record/2924190/files/L1013116.jpg?subformat=icon-640 icon-640 2713477 1113046 http://cds.cern.ch/record/2924190/files/L1013117.jpg?subformat=icon-1440 icon-1440 2713477 137002 http://cds.cern.ch/record/2924190/files/L1013117.jpg?subformat=icon-180 icon-180 2713477 356904 http://cds.cern.ch/record/2924190/files/L1013117.jpg?subformat=icon-640 icon-640 2713478 1127166 http://cds.cern.ch/record/2924190/files/L1013118.jpg?subformat=icon-1440 icon-1440 2713478 136736 http://cds.cern.ch/record/2924190/files/L1013118.jpg?subformat=icon-180 icon-180 2713478 356074 http://cds.cern.ch/record/2924190/files/L1013118.jpg?subformat=icon-640 icon-640 2713479 1053203 http://cds.cern.ch/record/2924190/files/L1013119.jpg?subformat=icon-1440 icon-1440 2713479 136510 http://cds.cern.ch/record/2924190/files/L1013119.jpg?subformat=icon-180 icon-180 2713479 347123 http://cds.cern.ch/record/2924190/files/L1013119.jpg?subformat=icon-640 icon-640 2713480 133997 http://cds.cern.ch/record/2924190/files/L1013120.jpg?subformat=icon-180 icon-180 2713480 318553 http://cds.cern.ch/record/2924190/files/L1013120.jpg?subformat=icon-640 icon-640 2713480 955499 http://cds.cern.ch/record/2924190/files/L1013120.jpg?subformat=icon-1440 icon-1440 2713481 1025414 http://cds.cern.ch/record/2924190/files/L1013121.jpg?subformat=icon-1440 icon-1440 2713481 135541 http://cds.cern.ch/record/2924190/files/L1013121.jpg?subformat=icon-180 icon-180 2713481 333401 http://cds.cern.ch/record/2924190/files/L1013121.jpg?subformat=icon-640 icon-640 2713482 1030074 http://cds.cern.ch/record/2924190/files/L1013122.jpg?subformat=icon-1440 icon-1440 2713482 135432 http://cds.cern.ch/record/2924190/files/L1013122.jpg?subformat=icon-180 icon-180 2713482 334096 http://cds.cern.ch/record/2924190/files/L1013122.jpg?subformat=icon-640 icon-640 2713483 165729 http://cds.cern.ch/record/2924190/files/L1013123.jpg?subformat=icon-180 icon-180 2713483 2259230 http://cds.cern.ch/record/2924190/files/L1013123.jpg?subformat=icon-1440 icon-1440 2713483 620667 http://cds.cern.ch/record/2924190/files/L1013123.jpg?subformat=icon-640 icon-640 2713484 164459 http://cds.cern.ch/record/2924190/files/L1013124.jpg?subformat=icon-180 icon-180 2713484 2229339 http://cds.cern.ch/record/2924190/files/L1013124.jpg?subformat=icon-1440 icon-1440 2713484 608135 http://cds.cern.ch/record/2924190/files/L1013124.jpg?subformat=icon-640 icon-640 2713485 164681 http://cds.cern.ch/record/2924190/files/L1013125.jpg?subformat=icon-180 icon-180 2713485 2268837 http://cds.cern.ch/record/2924190/files/L1013125.jpg?subformat=icon-1440 icon-1440 2713485 616771 http://cds.cern.ch/record/2924190/files/L1013125.jpg?subformat=icon-640 icon-640 2713486 1188415 http://cds.cern.ch/record/2924190/files/L1013126.jpg?subformat=icon-1440 icon-1440 2713486 137402 http://cds.cern.ch/record/2924190/files/L1013126.jpg?subformat=icon-180 icon-180 2713486 368100 http://cds.cern.ch/record/2924190/files/L1013126.jpg?subformat=icon-640 icon-640 2713487 1202515 http://cds.cern.ch/record/2924190/files/L1013127.jpg?subformat=icon-1440 icon-1440 2713487 137537 http://cds.cern.ch/record/2924190/files/L1013127.jpg?subformat=icon-180 icon-180 2713487 370043 http://cds.cern.ch/record/2924190/files/L1013127.jpg?subformat=icon-640 icon-640 2713488 160830 http://cds.cern.ch/record/2924190/files/L1013128.jpg?subformat=icon-180 icon-180 2713488 1911622 http://cds.cern.ch/record/2924190/files/L1013128.jpg?subformat=icon-1440 icon-1440 2713488 542194 http://cds.cern.ch/record/2924190/files/L1013128.jpg?subformat=icon-640 icon-640 2713489 160224 http://cds.cern.ch/record/2924190/files/L1013129.jpg?subformat=icon-180 icon-180 2713489 1896958 http://cds.cern.ch/record/2924190/files/L1013129.jpg?subformat=icon-1440 icon-1440 2713489 534077 http://cds.cern.ch/record/2924190/files/L1013129.jpg?subformat=icon-640 icon-640 2713490 136248 http://cds.cern.ch/record/2924190/files/L1013130.jpg?subformat=icon-180 icon-180 2713490 321862 http://cds.cern.ch/record/2924190/files/L1013130.jpg?subformat=icon-640 icon-640 2713490 950441 http://cds.cern.ch/record/2924190/files/L1013130.jpg?subformat=icon-1440 icon-1440 2713491 135360 http://cds.cern.ch/record/2924190/files/L1013131.jpg?subformat=icon-180 icon-180 2713491 322758 http://cds.cern.ch/record/2924190/files/L1013131.jpg?subformat=icon-640 icon-640 2713491 972650 http://cds.cern.ch/record/2924190/files/L1013131.jpg?subformat=icon-1440 icon-1440 2713492 134397 http://cds.cern.ch/record/2924190/files/L1013132.jpg?subformat=icon-180 icon-180 2713492 306637 http://cds.cern.ch/record/2924190/files/L1013132.jpg?subformat=icon-640 icon-640 2713492 910585 http://cds.cern.ch/record/2924190/files/L1013132.jpg?subformat=icon-1440 icon-1440 2713493 1072400 http://cds.cern.ch/record/2924190/files/L1013133.jpg?subformat=icon-1440 icon-1440 2713493 136585 http://cds.cern.ch/record/2924190/files/L1013133.jpg?subformat=icon-180 icon-180 2713493 346269 http://cds.cern.ch/record/2924190/files/L1013133.jpg?subformat=icon-640 icon-640 2713494 1048115 http://cds.cern.ch/record/2924190/files/L1013134.jpg?subformat=icon-1440 icon-1440 2713494 135563 http://cds.cern.ch/record/2924190/files/L1013134.jpg?subformat=icon-180 icon-180 2713494 339684 http://cds.cern.ch/record/2924190/files/L1013134.jpg?subformat=icon-640 icon-640 2713495 1052540 http://cds.cern.ch/record/2924190/files/L1013135.jpg?subformat=icon-1440 icon-1440 2713495 135300 http://cds.cern.ch/record/2924190/files/L1013135.jpg?subformat=icon-180 icon-180 2713495 334564 http://cds.cern.ch/record/2924190/files/L1013135.jpg?subformat=icon-640 icon-640 2713496 1034965 http://cds.cern.ch/record/2924190/files/L1013136.jpg?subformat=icon-1440 icon-1440 2713496 135999 http://cds.cern.ch/record/2924190/files/L1013136.jpg?subformat=icon-180 icon-180 2713496 339697 http://cds.cern.ch/record/2924190/files/L1013136.jpg?subformat=icon-640 icon-640 2713497 1005038 http://cds.cern.ch/record/2924190/files/L1013137.jpg?subformat=icon-1440 icon-1440 2713497 135875 http://cds.cern.ch/record/2924190/files/L1013137.jpg?subformat=icon-180 icon-180 2713497 331802 http://cds.cern.ch/record/2924190/files/L1013137.jpg?subformat=icon-640 icon-640 2713498 136385 http://cds.cern.ch/record/2924190/files/L1013138.jpg?subformat=icon-180 icon-180 2713498 324882 http://cds.cern.ch/record/2924190/files/L1013138.jpg?subformat=icon-640 icon-640 2713498 965364 http://cds.cern.ch/record/2924190/files/L1013138.jpg?subformat=icon-1440 icon-1440 2713499 1053856 http://cds.cern.ch/record/2924190/files/L1013139.jpg?subformat=icon-1440 icon-1440 2713499 136400 http://cds.cern.ch/record/2924190/files/L1013139.jpg?subformat=icon-180 icon-180 2713499 344327 http://cds.cern.ch/record/2924190/files/L1013139.jpg?subformat=icon-640 icon-640 2713500 1049291 http://cds.cern.ch/record/2924190/files/L1013140.jpg?subformat=icon-1440 icon-1440 2713500 136522 http://cds.cern.ch/record/2924190/files/L1013140.jpg?subformat=icon-180 icon-180 2713500 341318 http://cds.cern.ch/record/2924190/files/L1013140.jpg?subformat=icon-640 icon-640 2713501 160341 http://cds.cern.ch/record/2924190/files/L1013141.jpg?subformat=icon-180 icon-180 2713501 2092623 http://cds.cern.ch/record/2924190/files/L1013141.jpg?subformat=icon-1440 icon-1440 2713501 563046 http://cds.cern.ch/record/2924190/files/L1013141.jpg?subformat=icon-640 icon-640 2713502 159590 http://cds.cern.ch/record/2924190/files/L1013142.jpg?subformat=icon-180 icon-180 2713502 2085075 http://cds.cern.ch/record/2924190/files/L1013142.jpg?subformat=icon-1440 icon-1440 2713502 554126 http://cds.cern.ch/record/2924190/files/L1013142.jpg?subformat=icon-640 icon-640 2713503 159559 http://cds.cern.ch/record/2924190/files/L1013143.jpg?subformat=icon-180 icon-180 2713503 2025143 http://cds.cern.ch/record/2924190/files/L1013143.jpg?subformat=icon-1440 icon-1440 2713503 545586 http://cds.cern.ch/record/2924190/files/L1013143.jpg?subformat=icon-640 icon-640 leopold.amedeo.habsburg-lothringen@cern.ch n 202507 CERN <> 86 VISIBLE PHOTOOPEN 2923944 SzGeCERN 20251217180238.0 oai:cds.cern.ch:2923944 cerncds:FULLTEXT cerncds:CERN:FULLTEXT INIS cerncds:CERN DOI Elsevier B.V. 10.1016/j.nima.2025.170506 publication Inspire 2911578 CMS-CR-2024-344 arXiv arXiv:2504.08991 hep-ex eng Dimitrov, Anton INSPIRE-00174462 CCID-582534 Sofiya U. CMS RPC non-physics event data automation ideology 2025-04-13 Geneva CERN 17 Dec 2024 12 p This paper presents a streamlined framework for real-time processing and analysis of condition data from the CMS experiment Resistive Plate Chambers (RPC). Leveraging data streaming, it uncovers correlations between RPC performance metrics, like currents and rates, and LHC luminosity or environmental conditions. The Java-based framework automates data handling and predictive modeling, integrating extensive datasets into synchronized, query-optimized tables. By segmenting LHC operations and analyzing larger virtual detector objects, the automation enhances monitoring precision, accelerates visualization, and provides predictive insights, revolutionizing RPC performance evaluation and future behavior modeling. preprint CC BY-NC-ND 4.0 http://creativecommons.org/licenses/by-nc-nd/4.0/ publication Elsevier B.V. 2025 CERN EDS HAL For annual report SzGeCERN Detectors and Experimental Techniques SzGeCERN Particle Physics - Experiment CMS Muons INTNOTE CERN PUBLCMS ARTICLE CERN LHC CMS Tytgat, M. Vrije U., Brussels Vrije Universiteit Brussel, Brussel, Belgium Mota Amarilo, K. Gent U. Universiteit Gent, Gent, Belgium Samalan, A. Gent U. Universiteit Gent, Gent, Belgium Skovpen, K. Gent U. Universiteit Gent, Gent, Belgium Alves, G.A. Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Fisicas, Rio de Janeiro, Brazil Coelho, E. Alves Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Fisicas, Rio de Janeiro, Brazil da Silva, F. Marujo Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Fisicas, Rio de Janeiro, Brazil Filho, M. Barroso Ferreira Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil Da Costa, E.M. Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil Damiao, D. De Jesus Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil De Souza, S. Fonseca Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil De Souza, R. Gomes Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil Mundim, L. Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil Nogima, H. Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil Pinheiro, J.P. Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil Santoro, A. Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil Thiel, M. Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil Aleksandrov, A. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Hadjiiska, R. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Iaydjiev, P. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Shopova, M. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Sultanov, G. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Litov, L. Sofiya U. Faculty of Physics, University of Sofia, Sofia, Bulgaria Pavlov, B. Sofiya U. Faculty of Physics, University of Sofia, Sofia, Bulgaria Petkov, P. Sofiya U. Faculty of Physics, University of Sofia, Sofia, Bulgaria Petrov, A. Sofiya U. Faculty of Physics, University of Sofia, Sofia, Bulgaria Shumka, E. Sofiya U. Faculty of Physics, University of Sofia, Sofia, Bulgaria Cao, P. Beijing, Inst. High Energy Phys. Institute of High Energy Physics and University of the Chinese Academy of Sciences, Beijing, China Diao, W. Beijing, Inst. High Energy Phys. Institute of High Energy Physics and University of the Chinese Academy of Sciences, Beijing, China Hou, Q. Beijing, Inst. High Energy Phys. Institute of High Energy Physics and University of the Chinese Academy of Sciences, Beijing, China Kou, H. Beijing, Inst. High Energy Phys. Institute of High Energy Physics and University of the Chinese Academy of Sciences, Beijing, China Liu, Z.-A. Beijing, Inst. High Energy Phys. Institute of High Energy Physics and University of the Chinese Academy of Sciences, Beijing, China Song, J. Beijing, Inst. High Energy Phys. Institute of High Energy Physics and University of the Chinese Academy of Sciences, Beijing, China Zhao, J. Beijing, Inst. High Energy Phys. Institute of High Energy Physics and University of the Chinese Academy of Sciences, Beijing, China Qian, S.J. Peking U. School of Physics, Peking University, Beijing, China Avila, C. Andes U., Bogota Universidad de Los Andes, Bogota, Colombia Trujillo, D.A. Barbosa Andes U., Bogota Universidad de Los Andes, Bogota, Colombia Cabrera, A. Andes U., Bogota Universidad de Los Andes, Bogota, Colombia Florez, C.A. Andes U., Bogota Universidad de Los Andes, Bogota, Colombia Vega, J.A. Reyes Andes U., Bogota Universidad de Los Andes, Bogota, Colombia Aly, R. Cairo U. British U. in Egypt Physics Department, Faculty of science, Helwan University, Cairo, Egypt The British University in Egypt, Cairo, Egypt Radi, A. Ain Shams U., Cairo Department of Physics, Faculty of Science, Ain Shams University, Cairo, Egypt Assran, Y. British U. in Egypt The British University in Egypt, Cairo, Egypt Crotty, I. Fayoum U. Center for High Energy Physics (CHEP-FU), Fayoum University, El-Fayoum, Egypt Mahmoud, M.A. Fayoum U. Center for High Energy Physics (CHEP-FU), Fayoum University, El-Fayoum, Egypt Gouzevitch, M. IP2I, Lyon Institut de Physique des 2 Infinis de Lyon, Villeurbanne, France Grenier, G. IP2I, Lyon Institut de Physique des 2 Infinis de Lyon, Villeurbanne, France Laktineh, I.B. IP2I, Lyon Institut de Physique des 2 Infinis de Lyon, Villeurbanne, France Mirabito, L. IP2I, Lyon Institut de Physique des 2 Infinis de Lyon, Villeurbanne, France Bagaturia, I. GTU, Tbilisi Georgian Technical University, Tbilisi, Georgia Lomidze, I. GTU, Tbilisi Georgian Technical University, Tbilisi, Georgia Tsamalaidze, Z. GTU, Tbilisi Georgian Technical University, Tbilisi, Georgia Amoozegarp, V. IPM, Tehran Institute for Research in Fundamental Sciences, Tehran, Iran Boghrati, B. IPM, Tehran Institute for Research in Fundamental Sciences, Tehran, Iran Ebrahimi, M. IPM, Tehran Institute for Research in Fundamental Sciences, Tehran, Iran Esfandi, F. IPM, Tehran Institute for Research in Fundamental Sciences, Tehran, Iran Hosseini, Y. IPM, Tehran Institute for Research in Fundamental Sciences, Tehran, Iran Mohammadi Najafabadi, M. IPM, Tehran Institute for Research in Fundamental Sciences, Tehran, Iran Zareian, E. IPM, Tehran Institute for Research in Fundamental Sciences, Tehran, Iran Abbrescia, M. INFN, Bari Bari U. INFN Sezione di Bari, Bari, Italy Università di Bari, Bari, Italy De Filippis, N. INFN, Bari Bari Polytechnic INFN Sezione di Bari, Bari, Italy Politecnico di Bari, Bari, Italy Iaselli, G. INFN, Bari Bari Polytechnic INFN Sezione di Bari, Bari, Italy Politecnico di Bari, Bari, Italy Loddo, F. INFN, Bari INFN Sezione di Bari, Bari, Italy Pugliese, G. INFN, Bari Bari Polytechnic INFN Sezione di Bari, Bari, Italy Politecnico di Bari, Bari, Italy Ramos, D. INFN, Bari INFN Sezione di Bari, Bari, Italy Benussi, L. Frascati INFN Laboratori Nazionali di Frascati, Frascati, Italy Bianco, S. Frascati INFN Laboratori Nazionali di Frascati, Frascati, Italy Meola, S. Frascati INFN Laboratori Nazionali di Frascati, Frascati, Italy Piccolo, D. Frascati INFN Laboratori Nazionali di Frascati, Frascati, Italy Buontempo, S. INFN, Naples INFN Sezione di Napoli, Napoli, Italy Carnevali, F. INFN, Naples Naples U. INFN Sezione di Napoli, Napoli, Italy Università di Napoli’Federico II’, Napoli, Italy Fienga, F. Naples U. Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione - Università Degli Studi di Napoli Federico II, Napoli, Italy Lista, L. INFN, Naples Naples U. INFN Sezione di Napoli, Napoli, Italy Università di Napoli’Federico II’, Napoli, Italy Paolucci, P. INFN, Naples INFN Sezione di Napoli, Napoli, Italy Braghieri, A. INFN, Pavia INFN Sezione di Pavia, Pavia, Italy Montagna, P. INFN, Pavia Pavia U. INFN Sezione di Pavia, Pavia, Italy Università di Pavia, Pavia, Italy Riccardi, C. INFN, Pavia Pavia U. INFN Sezione di Pavia, Pavia, Italy Università di Pavia, Pavia, Italy Salvini, P. INFN, Pavia INFN Sezione di Pavia, Pavia, Italy Vitulo, P. INFN, Pavia Pavia U. INFN Sezione di Pavia, Pavia, Italy Università di Pavia, Pavia, Italy Asilar, E. Hanyang U. Hanyang University, Seoul, Korea Kim, T.J. Hanyang U. Hanyang University, Seoul, Korea Ryou, Y. Hanyang U. Hanyang University, Seoul, Korea Choi, S. Korea U. Korea University, Seoul, Korea Hong, B. Korea U. Korea University, Seoul, Korea Lee, K.S. Korea U. Korea University, Seoul, Korea Shin, J. Kyung Hee U. Kyung Hee University, Department of Physics, Seoul, Korea Lee, Y. Sungkyunkwan U. Sungkyunkwan University, Suwon, Korea Pedraza, I. Puebla U., Mexico Benemerita Universidad Autonoma de Puebla, Puebla, Mexico Estrada, C. Uribe Puebla U., Mexico Benemerita Universidad Autonoma de Puebla, Puebla, Mexico Castilla-Valdez, H. UPII, IPN Centro de Investigacion y de Estudios Avanzados del IPN, Mexico City, Mexico Lopez-Fernandez, R. UPII, IPN Centro de Investigacion y de Estudios Avanzados del IPN, Mexico City, Mexico Hernandez, A. Sanchez UPII, IPN Centro de Investigacion y de Estudios Avanzados del IPN, Mexico City, Mexico Garcia, M. Ramirez Iberoamericana U. Universidad Iberoamericana, Mexico City, Mexico Guadarrama, D.L. Ramirez Iberoamericana U. Universidad Iberoamericana, Mexico City, Mexico Shah, M.A. Iberoamericana U. Universidad Iberoamericana, Mexico City, Mexico Vazquez, E. Iberoamericana U. Universidad Iberoamericana, Mexico City, Mexico Zaganidis, N. Iberoamericana U. Universidad Iberoamericana, Mexico City, Mexico Ahmad, A. NCP, Islamabad National Centre for Physics, Quaid-I-Azam University, Islamabad, Pakistan Asghar, M.I. NCP, Islamabad National Centre for Physics, Quaid-I-Azam University, Islamabad, Pakistan Hoorani, H.R. NCP, Islamabad National Centre for Physics, Quaid-I-Azam University, Islamabad, Pakistan Muhammad, S. NCP, Islamabad National Centre for Physics, Quaid-I-Azam University, Islamabad, Pakistan Eysermans, J. MIT, LNS Massachusetts Institute of Technology, Cambridge, MA, USA PH CMS Collaboration 170506 publication Nucl. Instrum. Methods Phys. Res., A 1076 C24-09-09.14 2025 2712756 6666776 http://cds.cern.ch/record/2923944/files/CR2024_344.pdf n 20257 13 2920470 170506 SantiagodeCompostela20240909 PUBLIC INTNOTECMSPUBL ARTICLE ConferencePaper 2930372 2923595 20251209202604.0 oai:cds.cern.ch:2923595 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN Inspire 2897845 ATL-MUON-PROC-2025-006 eng ATL-COM-MUON-2024-088 AUTHOR|(CDS)2092901 Shah, Aashaq aashaq.shah@cern.ch University of Cambridge (GB) The ATLAS collaboration Quality assurance tests and techniques to investigate and improve hermeticity of ATLAS Phase II Resistive Plate Chamber detectors 2025 Geneva CERN 05 Feb 2025 7 p The Phase II upgrade of the ATLAS Muon Spectrometer will involve the installation of approximately 1000 next-generation Resistive Plate Chamber (RPC) singlets. This upgrade aims to enhance detector coverage, increase hit efficiency, and improve timing precision, ultimately strengthening the precision and robustness of the muon trigger system. The upgrade is essential for maintaining the performance of the muon spectrometer in the high-luminosity environment of the HL-LHC, where increased radiation and event rates pose significant challenges. Currently, detector production is underway, with gas gaps being commercially produced in Italy. To ensure the integrity of these gas gaps, especially their mechanical properties and gas tightness, several investigative techniques have been proposed and implemented. This study discusses the results of Thermal Cycling tests performed on ATLAS RPC gas gaps. These tests were conducted between $-33^{\circ}$C and $+35^{\circ}$C in a climate room at University of Cambridge and $-20^{\circ}$C and $+30^{\circ}$C in laboratories at INFN Frascati, providing insights into the effects of mechanical stress due to thermal expansion on gas leaks. Additionally, it outlines various methods employed to assess and enhance the gas tightness of the detectors. The ultimate objective is to produce hermetic RPC detectors, minimising the emission of environmentally harmful gases and mitigating their impact on global warming. publication CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2025 PROC CERN CDS-Invenio WebSubmit For annual report SzGeCERN Particle Physics - Experiment SzGeCERN Muon CERN ATLAS CERN RPC CERN Thermal QC CERN Gas Leak Tests CERN INTNOTE PRIVATLAS INTNOTEATLASPUBL ARTICLE CERN LHC ATLAS PH-EP ATLAS Collaboration 170510 Nucl. Instrum. Meth. A 1076 2025 http://cds.cern.ch/record/2920635 Original Communication (restricted to ATLAS) 2711868 11867785 http://cds.cern.ch/record/2923595/files/ATL-MUON-PROC-2025-006.pdf Stamped by WebSubmit: 05/02/2025 aashaq.shah@cern.ch n 202570 91 13 2920470 170510 SantiagodeCompostela20240909 PUBLIC 000785691CER INTNOTEATLASPUBL ConferencePaper ARTICLE 2928941 20260402012303.0 oai:cds.cern.ch:2928941 cerncds:FULLTEXT cerncds:REPORT DOI 10.17181/CERN.M6OU.VG88 Inspire 2948801 CERN-FCC-ACC-2025-0007 FCC-DRAFT-ACC-2025-009 AUTHOR|(CDS)2108454 Benedikt, Michael Michael.Benedikt@cern.ch CERN FCC Integrated Programme Stage 2: The FCC-hh 2025 Geneva CERN 31 Mar 2025 24 p The Future Circular Collider (FCC) ‘integrated programme’ consists of an initial electron-positron collider FCC-ee, which is later followed by a proton-proton collider, FCC-hh. This comprehensive programme is well matched to the current scientific landscape after 15 years of LHC operation. The proposed staging takes into account: (1) the physics priorities as developed and stated by EPPSU 2013 and 2020; and (2) the relative technology readiness and costs of FCC-ee and FCC-hh. Both FCC-ee and FCC-hh are installed in the same 91 km circumference tunnel close to CERN, which allows reuse of all FCC-ee civil engineering and much of the technical infrastructure for the subsequent FCC-hh, thus maximising the return on investment and ensuring sustainable long-term use of the infrastructure. Taking advantage of a perfect four-fold superperiodicity, FCC-ee and FCC-hh each accommodate four experimental detectors. The two FCC stages, FCC-ee and FCC-hh, are optimised so as to enable the widest possible physics programme, with ample complementarity and synergies between Stage 1 and Stage 2. The hadron collider, FCC-hh, operates at a centre-of-mass energy of about 85 TeV, extending the energy frontier by almost an order of magnitude compared with the LHC, and providing integrated luminosity 5–10 times higher than that of the upcoming High-Luminosity LHC. The mass reach for direct discovery at FCC-hh amounts to several tens of TeV, and allows, for example, the direct production of new particles, whose existence could already be indirectly exposed by precision measurements at FCC-ee. The FCC-hh hadron collider can also accommodate ion-ion, ion-hadron, and lepton-hadron collision options, allowing for complementary physics explorations. A project implementation scenario has been developed and an analysis of the current environmental status has not revealed any showstoppers. The dialogue with the public has begun. The project implementation scenario, the analysis of the environment, and engagement with the public, representing about seven years of past activities, are necessary prerequisites for the authorisation processes with the host states and facilitate convergence towards a credible implementation schedule and planning security. For the FCC-ee, a wider socio-economic impact assessment has revealed a positive net present value under conservative assumptions and implementation conditions. An equivalent assessment remains to be done for FCC-hh. The three volumes of FCC Feasibility Study Report are available for download. CERN CDS-Invenio WebSubmit SzGeCERN Accelerators and Storage Rings SzGeCERN ACC FCC hadron collider CERN PUBLATS FCC ACC CERN FCC AUTHOR|(CDS)2067941 Zimmermann, Frank frank.zimmermann@cern.ch CERN AUTHOR|(CDS)2069598 Auchmann, Bernhard Bernhard.Auchmann@cern.ch CERN AUTHOR|(CDS)2067437 Bartmann, Wolfgang Wolfgang.Bartmann@cern.ch CERN AUTHOR|(CDS)2067896 Burnet, Jean-Paul Jean-Paul.Burnet@cern.ch CERN AUTHOR|(CDS)2067352 Carli, Christian Christian.Carli@cern.ch CERN AUTHOR|(CDS)2093721 Chance, Antoine antoine.chance@cern.ch AUTHOR|(CDS)2741352 Craievich, Paolo paolo.craievich@psi.ch AUTHOR|(CDS)2051254 Giovannozzi, Massimo Massimo.Giovannozzi@cern.ch CERN AUTHOR|(CDS)2070519 Grojean, Christophe Christophe.Grojean@cern.ch Humboldt University of Berlin (DE) AUTHOR|(CDS)2108815 Gutleber, Johannes Johannes.Gutleber@cern.ch CERN AUTHOR|(CDS)2067174 Hanke, Klaus Klaus.Hanke@cern.ch CERN AUTHOR|(CDS)2082836 Henriques, Andre andre.henriques@cern.ch CERN AUTHOR|(CDS)2051271 Janot, Patrick Patrick.Janot@cern.ch CERN AUTHOR|(CDS)2108783 Lourenco, Carlos Carlos.Lourenco@cern.ch CERN AUTHOR|(CDS)2051070 Mangano, Michelangelo Michelangelo.Mangano@cern.ch CERN AUTHOR|(CDS)2068056 Otto, Thomas Thomas.Otto@cern.ch CERN AUTHOR|(CDS)2067486 Poole, John Howard John.Poole@cern.ch AUTHOR|(CDS)2070028 Rajagopalan, Srini srini.rajagopalan@cern.ch Brookhaven National Laboratory (US) AUTHOR|(CDS)2773379 Raubenheimer, Tor tor@slac.stanford.edu Standford University (CA) AUTHOR|(CDS)2108516 Todesco, Ezio Ezio.Todesco@cern.ch CERN AUTHOR|(CDS)2068925 Ulrici, Luisa Luisa.Ulrici@cern.ch CERN AUTHOR|(CDS)2223234 Watson, Timothy Paul timothy.watson@cern.ch CERN AUTHOR|(CDS)2072912 Wilkinson, Guy Guy.Wilkinson@cern.ch University of Oxford (GB) REPORT 2723277 6286692 http://cds.cern.ch/record/2928941/files/CERN-FCC-ACC-2025-0007.pdf Stamped by WebSubmit: 31/03/2025 frank.zimmermann@cern.ch michael.benedikt@cern.ch johannes.gutleber@cern.ch 31 Mar 2025 Approval Request as a Note n 202570 106 PUBLIC REPORT 2928939 20250718100027.0 oai:cds.cern.ch:2928939 cerncds:FULLTEXT cerncds:REPORT DOI 10.17181/CERN.SLLK.DA6C INSPIRE 2947854 CERN-FCC-ACC-2025-0006 FCC-DRAFT-ACC-2025-008 AUTHOR|(CDS)2108454 Benedikt, Michael Michael.Benedikt@cern.ch CERN FCC Integrated Programme Stage 1: The FCC-ee 2025 Geneva CERN 31 Mar 2025 28 p The Future Circular Collider (FCC) ‘integrated programme’ consists of an initial electron-positron collider FCC-ee, which is followed by a proton-proton collider, FCC-hh. This integrated programme is well matched to the current scientific landscape after 15 years of LHC operation. The proposed staging takes into account: (1) the physics priorities as developed and stated by EPPSU 2013 and 2020; and (2) the relative technology readiness and costs of FCC-ee and FCC-hh. Both FCC-ee and FCC-hh would be installed in the same 91 km circumference tunnel close to CERN, reusing all the FCC-ee civil engineering and much of the technical infrastructure for the subsequent FCC-hh, thereby maximising the return on investment and ensuring guaranteed physics deliverables along with the broadest and most versatile exploration potential of the intensity and energy frontiers. Taking advantage of a perfect four-fold superperiodicity, FCC-ee and FCC-hh each accommodate four detectors. The two stages, FCC-ee and FCC-hh, are optimised so as to enable the widest possible physics programme, with ample complementarity and synergies between stage 1 and stage 2. Key design ingredients of FCC-ee, such as a double-ring layout, top-up injection with a full-energy booster, crab-waist collision scheme, minimum vertical beta function, high-current operation, required positron production rate, and precise energy calibration were all demonstrated in routine use at several previous or presently operating colliders, including LEP, SLC, KEKB, PEP-II, DAΦNE, and SuperKEKB. The FCC-ee, thus, is technically ready for construction, and it can deliver 4 to 5 orders of magnitude higher luminosity per unit electrical power than the previous LEP collider. The ongoing technology R&D aims at further increasing its energy and operational efficiency, and at cost minimisation. A project implementation scenario has been developed and an analysis of the present territorial and environmental conditions indicate favorable prospects for construction. A socio-economic impact assessment integrating environmental aspects has revealed a positive net present value and a positive benefit-cost ratio, under conservative assumptions and implementation conditions. The project can therefore be considered sustainable from a socio-economic perspective. Dialogue with the public and host-state authorities have started. All those activities presented are necessary prerequisites for the authorisation processes with the host states. Their anticipation facilitate convergence towards a credible implementation schedule and provides better planning security. The FCC-ee collider with its injector also offers unique opportunities for numerous other branches of physics and science, ranging from the proposed production of true muonium to generate spatially coherent photon beams down to 0.1 Å wavelengths at several orders of magnitudes higher average and peak brightness than any existing or planned light source. The three volumes of FCC Feasibility Study Report are available for download along with complementary material. CERN CDS-Invenio WebSubmit SzGeCERN Accelerators and Storage Rings SzGeCERN ACC FCC lepton collider CERN PUBLATS FCC ACC CERN FCC AUTHOR|(CDS)2067941 Zimmermann, Frank frank.zimmermann@cern.ch CERN AUTHOR|(CDS)2067437 Bartmann, Wolfgang Wolfgang.Bartmann@cern.ch CERN AUTHOR|(CDS)2067896 Burnet, Jean-Paul Jean-Paul.Burnet@cern.ch CERN AUTHOR|(CDS)2067352 Carli, Christian Christian.Carli@cern.ch CERN AUTHOR|(CDS)2093721 Chance, Antoine antoine.chance@cern.ch AUTHOR|(CDS)2741352 Craievich, Paolo paolo.craievich@psi.ch AUTHOR|(CDS)2051254 Giovannozzi, Massimo Massimo.Giovannozzi@cern.ch CERN AUTHOR|(CDS)2070519 Grojean, Christophe Christophe.Grojean@cern.ch Humboldt University of Berlin (DE) AUTHOR|(CDS)2108815 Gutleber, Johannes Johannes.Gutleber@cern.ch CERN AUTHOR|(CDS)2067174 Hanke, Klaus Klaus.Hanke@cern.ch CERN AUTHOR|(CDS)2082836 Henriques, Andre andre.henriques@cern.ch CERN AUTHOR|(CDS)2051271 Janot, Patrick Patrick.Janot@cern.ch CERN AUTHOR|(CDS)2108783 Lourenco, Carlos Carlos.Lourenco@cern.ch CERN AUTHOR|(CDS)2051070 Mangano, Michelangelo Michelangelo.Mangano@cern.ch CERN AUTHOR|(CDS)2068056 Otto, Thomas Thomas.Otto@cern.ch CERN AUTHOR|(CDS)2067486 Poole, John Howard John.Poole@cern.ch AUTHOR|(CDS)2070028 Rajagopalan, Srini srini.rajagopalan@cern.ch Brookhaven National Laboratory (US) AUTHOR|(CDS)2773379 Raubenheimer, Tor tor@slac.stanford.edu Standford University (CA) AUTHOR|(CDS)2108516 Todesco, Ezio Ezio.Todesco@cern.ch CERN AUTHOR|(CDS)2068925 Ulrici, Luisa Luisa.Ulrici@cern.ch CERN AUTHOR|(CDS)2223234 Watson, Timothy Paul timothy.watson@cern.ch CERN AUTHOR|(CDS)2072912 Wilkinson, Guy Guy.Wilkinson@cern.ch University of Oxford (GB) AUTHOR|(CDS)2069598 Auchmann, Bernhard Bernhard.Auchmann@cern.ch CERN REPORT 2723265 11790237 http://cds.cern.ch/record/2928939/files/CERN-FCC-ACC-2025-0006.pdf Stamped by WebSubmit: 31/03/2025 2723265 216858 http://cds.cern.ch/record/2928939/files/CERN-FCC-ACC-2025-0006.jpg?subformat=icon-1440 icon-1440 Stamped by WebSubmit: 31/03/2025 2723265 216858 http://cds.cern.ch/record/2928939/files/CERN-FCC-ACC-2025-0006.jpg?subformat=icon-640 icon-640 Stamped by WebSubmit: 31/03/2025 2723265 216858 http://cds.cern.ch/record/2928939/files/CERN-FCC-ACC-2025-0006.jpg?subformat=icon-700 icon-700 Stamped by WebSubmit: 31/03/2025 2723265 75249 http://cds.cern.ch/record/2928939/files/CERN-FCC-ACC-2025-0006.gif?subformat=icon icon Stamped by WebSubmit: 31/03/2025 2723265 78212 http://cds.cern.ch/record/2928939/files/CERN-FCC-ACC-2025-0006.jpg?subformat=icon-180 icon-180 Stamped by WebSubmit: 31/03/2025 frank.zimmermann@cern.ch michael.benedikt@cern.ch johannes.gutleber@cern.ch 31 Mar 2025 Approval Request as a Note n 202570 106 PUBLIC REPORT 2928836 SzGeCERN 20251218181534.0 DOI IOP 10.1088/1748-0221/20/03/C03027 oai:cds.cern.ch:2928836 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2902513 2025-03-28T15:31:56Z 2025-03-29T05:09:27Z marcxml Inspire 2902513 eng Cokic, L lazar.cokic@cern.ch CERN IOP Design of hardware interfaces for the LHC Phase-2 CMS ECAL Barrel Safety System 2025 7 p IOP The CMS Electromagnetic Calorimeter (ECAL) uses lead tungstate scintillating crystals to measure the energy of electrons and photons produced at the Large Hadron Collider (LHC). The High Luminosity upgrade of the LHC (HL-LHC) at CERN during the LHC Long Shutdown 3 imposes significant challenges for its experiments. The higher luminosity changes the environmental conditions in which the ECAL detector will operate. In this contribution the upgrade plans and preliminary designs to accommodate the new operational requirements of the CMS ECAL Barrel Safety System are summarized, including the design and development of hardware components for Resistance Temperature Detector (RTD) interfacing and the interlock control. CC-BY-4.0 IOP http://creativecommons.org/licenses/by/4.0/ publication publication The Author(s) 2025 For annual report SzGeCERN Detectors and Experimental Techniques author Calorimeters author Control and monitor systems online author Detector design and construction technologies and materials author Overall mechanics design (support structures and materials, vibration analysis etc) ARTICLE CERN Dissertori, G Zurich, ETH Jiménez Estupiñán, R Zurich, ETH Härringer, N Zurich, ETH Stachon, Krzysztof Zurich, ETH Lustermann, W Zurich, ETH Auffray Hillemanns, E CERN Adzic, P Belgrade U. Jovanovic, D Belgrade U. Milenovic, P Belgrade U. Mijic, M CERN C03027 03 JINST 20 C24-09-30.3 2025 2723121 1008495 http://cds.cern.ch/record/2928836/files/document.pdf Fulltext 13 2909447 C03027 glasgow20240930 ARTICLE ConferencePaper 2928194 20260402042133.0 oai:cds.cern.ch:2928194 cerncds:FULLTEXT cerncds:REPORT cerncds:CERN:FULLTEXT cerncds:CERN DOI 10.17181/CERN.I26X.V4VF DOI arXiv 10.1140/epjs/s11734-025-01958-5 publication DOI 10.1140/epjs/s11734-025-02043-7 erratum arXiv oai:arXiv.org:2505.00273 Inspire 2918004 arXiv arXiv:2505.00273 physics.acc-ph arXiv:reportnumber CERN-FCC-ACC-2025-0003 eng FCC-DRAFT-ACC-2025-003 Benedikt, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Springer Future Circular Collider Feasibility Study Report Volume 3 Civil Engineering, Implementation and Sustainability Correction: Future Circular Collider Feasibility Study Report Volume 3 Civil Engineering, Implementation and Sustainability 2025-10-13 Geneva CERN 28 Mar 2025 12 p arXiv Please address any comment or request to fcc.secretariat@cern.ch Volume 3 of the FCC Feasibility Report presents studies related to civil engineering, the development of a project implementation scenario, and environmental and sustainability aspects. The report details the iterative improvements made to the civil engineering concepts since 2018, taking into account subsurface conditions, accelerator and experiment requirements, and territorial considerations. It outlines a technically feasible and economically viable civil engineering configuration that serves as the baseline for detailed subsurface investigations, construction design, cost estimation, and project implementation planning. Additionally, the report highlights ongoing subsurface investigations in key areas to support the development of an improved 3D subsurface model of the region. The report describes the development of the project scenario based on the “avoid-reduce-compensate” iterative optimization approach. The reference scenario balances optimal physics performance with territorial compatibility, implementation risks, and costs. Environmental field investigations covering almost 600 hectares of terrain—including numerous urban, economic, social, and technical aspects—confirmed the project's technical feasibility and contributed to the preparation of essential input documents for the formal project authorization phase. The summary also highlights the initiation of public dialogue as part of the authorization process. The results of a comprehensive socio-economic impact assessment, which included significant environmental effects, are presented. Even under the most conservative and stringent conditions, a positive benefit-cost ratio for the FCC-ee is obtained. Finally, the report provides a concise summary of the studies conducted to document the current state of the environment. Springer Nature Volume 3 of the FCC Feasibility Report presents studies related to civil engineering, the development of a project implementation scenario, and environmental and sustainability aspects. The report details the iterative improvements made to the civil engineering concepts since 2018, taking into account subsurface conditions, accelerator and experiment requirements, and territorial considerations. It outlines a technically feasible and economically viable civil engineering configuration that serves as the baseline for detailed subsurface investigations, construction design, cost estimation, and project implementation planning. Additionally, the report highlights ongoing subsurface investigations in key areas to support the development of an improved 3D subsurface model of the region. The report describes the development of the project scenario based on the ‘avoid-reduce-compensate’ iterative optimisation approach. The reference scenario balances optimal physics performance with territorial compatibility, implementation risks, and costs. Environmental field investigations covering almost 600 hectares of terrain—including numerous urban, economic, social, and technical aspects—confirmed the project’s technical feasibility and contributed to the preparation of essential input documents for the formal project authorisation phase. The summary also highlights the initiation of public dialogue as part of the authorisation process. The results of a comprehensive socio-economic impact assessment, which included significant environmental effects, are presented. Even under the most conservative and stringent conditions, a positive benefit-cost ratio for the FCC-ee is obtained. Finally, the report provides a summary of the studies conducted to document the current state of the environment. Springer Volume 3 of the FCC Feasibility Report presents studies related to civil engineering, the development of a project implementation scenario, and environmental and sustainability aspects. The report details the iterative improvements made to the civil engineering concepts since 2018, taking into account subsurface conditions, accelerator and experiment requirements, and territorial considerations. It outlines a technically feasible and economically viable civil engineering configuration that serves as the baseline for detailed subsurface investigations, construction design, cost estimation, and project implementation planning. Additionally, the report highlights ongoing subsurface investigations in key areas to support the development of an improved 3D subsurface model of the region. The report describes the development of the project scenario based on the ‘avoid-reduce-compensate’ iterative optimisation approach. The reference scenario balances optimal physics performance with territorial compatibility, implementation risks, and costs. Environmental field investigations covering almost 600 hectares of terrain—including numerous urban, economic, social, and technical aspects—confirmed the project’s technical feasibility and contributed to the preparation of essential input documents for the formal project authorisation phase. The summary also highlights the initiation of public dialogue as part of the authorisation process. The results of a comprehensive socio-economic impact assessment, which included significant environmental effects, are presented. Even under the most conservative and stringent conditions, a positive benefit-cost ratio for the FCC-ee is obtained. Finally, the report provides a summary of the studies conducted to document the current state of the environment. arXiv Volume 3 of the FCC Feasibility Report presents studies related to civil engineering, the development of a project implementation scenario, and environmental and sustainability aspects. The report details the iterative improvements made to the civil engineering concepts since 2018, taking into account subsurface conditions, accelerator and experiment requirements, and territorial considerations. It outlines a technically feasible and economically viable civil engineering configuration that serves as the baseline for detailed subsurface investigations, construction design, cost estimation, and project implementation planning. Additionally, the report highlights ongoing subsurface investigations in key areas to support the development of an improved 3D subsurface model of the region. The report describes development of the project scenario based on the 'avoid-reduce-compensate' iterative optimisation approach. The reference scenario balances optimal physics performance with territorial compatibility, implementation risks, and costs. Environmental field investigations covering almost 600 hectares of terrain - including numerous urban, economic, social, and technical aspects - confirmed the project's technical feasibility and contributed to the preparation of essential input documents for the formal project authorisation phase. The summary also highlights the initiation of public dialogue as part of the authorisation process. The results of a comprehensive socio-economic impact assessment, which included significant environmental effects, are presented. Even under the most conservative and stringent conditions, a positive benefit-cost ratio for the FCC-ee is obtained. Finally, the report provides a concise summary of the studies conducted to document the current state of the environment. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication CC BY 4.0 CERN-RP: Springer http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2025 CERN CDS-Invenio WebSubmit SzGeCERN ACC SzGeCERN Accelerators and Storage Rings SzGeCERN Particle Physics - Phenomenology SzGeCERN Particle Physics - Experiment CERN PUBLATS FCC ACC REPORT CERN FCC Zimmermann, F. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Auchmann, B. GRID:grid.9132.9 GRID:grid.5991.4 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/03eh3y714 CERN PSI, Villigen CERN, European Organization for Nuclear Research, Geneva, Switzerland PSI, Paul Scherrer Institute, Villigen, Switzerland Bartmann, W. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Burnet, J.P. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Carli, C. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Chancé, A. GRID:grid.457342.3 ROR:https://ror.org/05k705z76 IRFU, Saclay CEA/Irfu, Commissariat à l’Energie Atomique et aux Energies Alternatives, Institut de recherche sur les lois fondamentales de l’Univers, Saclay, France Craievich, P. GRID:grid.5991.4 ROR:https://ror.org/03eh3y714 PSI, Villigen PSI, Paul Scherrer Institute, Villigen, Switzerland Giovannozzi, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Grojean, C. GRID:grid.7683.a GRID:grid.7468.d ROR:https://ror.org/01js2sh04 ROR:https://ror.org/01hcx6992 DESY Humboldt U., Berlin DESY, Deutsches Elektronen-Synchrotron, Hamburg, Germany Humboldt-Universität zu Berlin, Berlin, Germany Gutleber, J. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Hanke, K. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Henriques, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Janot, P. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Lourenço, C. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Mangano, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Otto, T. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Poole, J. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Rajagopalan, S. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Raubenheimer, T. GRID:grid.445003.6 ROR:https://ror.org/05gzmn429 SLAC SLAC National Accelerator Laboratory, Menlo Park, CA, USA Todesco, E. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Ulrici, L. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Watson, T. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Wilkinson, G. GRID:grid.9132.9 GRID:grid.4991.5 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/052gg0110 CERN Oxford U. CERN, European Organization for Nuclear Research, Geneva, Switzerland University of Oxford, Oxford, UK Abada, A. GRID:grid.433124.3 GRID:grid.508754.b GRID:grid.508487.6 ROR:https://ror.org/03gc1p724 IJCLab, Orsay CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IJCLab, Laboratoire de Physique des 2 Infinis Irène Joliot Curie, Orsay, France Université Paris-Saclay et Université Paris-Cité, Paris, France Abbrescia, M. GRID:grid.6045.7 GRID:grid.7644.1 ROR:https://ror.org/022hq6c49 ROR:https://ror.org/027ynra39 INFN, Bari Bari U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy Università di Bari, Bari, Italy Abdolmaleki, H. GRID:grid.418744.a GRID:grid.459711.f ROR:https://ror.org/04xreqs31 ROR:https://ror.org/051bats05 IPM, Tehran Lorestan U. IPM, Institute for Research in Fundamental Science, Tehran, Iran Malayer University, Malayer, Iran Abidi, S.H. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Abramov, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Adam, C. GRID:grid.433124.3 GRID:grid.450330.1 GRID:grid.5388.6 ROR:https://ror.org/049nhh297 Annecy, LAPP CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LAPP, Laboratoire d’Annecy de Physique des Particules, Annecy, France Université Savoie Mont Blanc, Annecy, France Ady, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Ad˘zić, P.R. GRID:grid.7149.b ROR:https://ror.org/02qsmb048 Belgrade U. University of Belgrade, Belgrade, Serbia Agapov, I. GRID:grid.7683.a ROR:https://ror.org/01js2sh04 DESY DESY, Deutsches Elektronen-Synchrotron, Hamburg, Germany Aguglia, D. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Ahmed, I. GRID:grid.4711.3 ROR:https://ror.org/02gfc7t72 CSIC, Madrid ICMAB/CISC, Institut de Ciència de Materials de Barcelona, Consejo Superior de Investigaciones Científicas, Barcelona, Spain Aiba, M. GRID:grid.5991.4 ROR:https://ror.org/03eh3y714 PSI, Villigen PSI, Paul Scherrer Institute, Villigen, Switzerland Aielli, G. GRID:grid.6045.7 GRID:grid.6530.0 ROR:https://ror.org/025rrx658 ROR:https://ror.org/043qcb444 ROR:https://ror.org/02be6w209 INFN, Rome2 GSSI, Aquila Rome U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Roma Tor Vergata, Rome, Italy Università Roma Tor Vergata, Rome, Italy Akan, T. GRID:grid.411743.4 ROR:https://ror.org/04qvdf239 Yozgat Bozok U. Yozgat Bozok Üniversitesi, Yozgat, Türkiye Akchurin, N. GRID:grid.264784.b ROR:https://ror.org/0405mnx93 Texas Tech. Texas Tech University, Lubbock, TX, USA Akturk, D. GRID:grid.412749.d TOBB ETU, Ankara TOBB ETU, TOBB Ekonomi ve Teknoloji Üniversitesi, Ankara, Türkiye Al-Thakeel, M. GRID:grid.9132.9 GRID:grid.6045.7 GRID:grid.6292.f ROR:https://ror.org/01ggx4157 ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/01111rn36 CERN INFN, Bologna U. Bologna (main) CERN, European Organization for Nuclear Research, Geneva, Switzerland INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Bologna, Bologna, Italy Università di Bologna, Bologna, Italy Alberghi, G.L. GRID:grid.6045.7 ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Bologna, Bologna, Italy Maestre, J. Alcaraz GRID:grid.420019.e ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Madrid, Escuela Tec. Sup. Ing. Ind. CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid, Spain Aleksa, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Aleksan, R. GRID:grid.457342.3 ROR:https://ror.org/05k705z76 IRFU, Saclay CEA/Irfu, Commissariat à l’Energie Atomique et aux Energies Alternatives, Institut de recherche sur les lois fondamentales de l’Univers, Saclay, France Alharthi, F. GRID:grid.433124.3 GRID:grid.508754.b GRID:grid.452562.2 ROR:https://ror.org/03gc1p724 IJCLab, Orsay KACST, Riyadh CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IJCLab, Laboratoire de Physique des 2 Infinis Irène Joliot Curie, Orsay, France KACST, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia Alimena, J. GRID:grid.7683.a ROR:https://ror.org/01js2sh04 DESY DESY, Deutsches Elektronen-Synchrotron, Hamburg, Germany Alimenti, A. GRID:grid.8509.4 ROR:https://ror.org/05vf0dg29 Rome III U. Università Roma Tre, Rome, Italy Alioli, S. GRID:grid.6045.7 GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano-Bicocca, Milan, Italy Università di Milano-Bicocca, Milan, Italy Alix, L. GRID:grid.9132.9 GRID:grid.433124.3 GRID:grid.450330.1 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/049nhh297 CERN Annecy, LAPP CERN, European Organization for Nuclear Research, Geneva, Switzerland CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LAPP, Laboratoire d’Annecy de Physique des Particules, Annecy, France Allanach, B.C. GRID:grid.5335.0 ROR:https://ror.org/013meh722 Cambridge U. University of Cambridge, Cambridge, UK Allwicher, L. GRID:grid.7683.a ROR:https://ror.org/01js2sh04 DESY DESY, Deutsches Elektronen-Synchrotron, Hamburg, Germany Altintas, A.A. GRID:grid.9601.e ROR:https://ror.org/03z9tma90 Bogazici U. İstanbul Üniversitesi, Istanbul, Türkiye Altınlı, M. GRID:grid.9601.e GRID:grid.502985.3 ROR:https://ror.org/03z9tma90 Bogazici U. Anadolu U. İstanbul Üniversitesi, Istanbul, Türkiye Eskişehir Teknik Üniversitesi, Eskişehir, Türkiye Alviggi, M. GRID:grid.6045.7 GRID:grid.4691.a ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy Università di Napoli Federico II, Naples, Italy Ambrosio, G. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Amhis, Y. GRID:grid.433124.3 GRID:grid.508754.b GRID:grid.508487.6 ROR:https://ror.org/03gc1p724 IJCLab, Orsay CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IJCLab, Laboratoire de Physique des 2 Infinis Irène Joliot Curie, Orsay, France Université Paris-Saclay et Université Paris-Cité, Paris, France Amiri, A. GRID:grid.46072.37 GRID:grid.411301.6 ROR:https://ror.org/05vf56z40 ROR:https://ror.org/00g6ka752 Tehran U. Ferdowsi U. University of Tehran, Tehran, Iran FUM, Ferdowsi University of Mashhad, Mashhad, Iran Ammirabile, G. GRID:grid.6045.7 ROR:https://ror.org/05symbg58 INFN, Pisa INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, Pisa, Italy Andeen, T. GRID:grid.89336.37 ROR:https://ror.org/00hj54h04 Texas U. University of Texas Austin, Austin, TX, USA André, K.D.J. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Andrea, J. GRID:grid.433124.3 GRID:grid.462076.1 GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IPHC, Institut Pluridisciplinaire Hubert Curien, Strasbourg, France Université de Strasbourg, Strasbourg, France Andreazza, A. GRID:grid.6045.7 GRID:grid.4708.b ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/01ynf4891 ROR:https://ror.org/03xejxm22 INFN, Milan Milan Bicocca U. INFN, Milan Bicocca INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Università di Milano, Milan, Italy Andreini, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Andriollo, T. Columbia Basin Coll. PIBG, Pôle Invertébrés du Basin Genevois, Geneva, Switzerland Angel, L. GRID:grid.411233.6 ROR:https://ror.org/04wn09761 IIP, Brazil UFRN, Universidade Federal do Rio Grande do Norte, Natal, Brazil Angelucci, M. GRID:grid.463190.9 ROR:https://ror.org/049jf1a25 Frascati INFN, Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati, Frascati, Italy Antusch, S. GRID:grid.6612.3 ROR:https://ror.org/02s6k3f65 Basel U. UNIBAS, University of Basel, Basel, Switzerland Anwar, M.N. GRID:grid.6045.7 GRID:grid.4466.0 ROR:https://ror.org/022hq6c49 ROR:https://ror.org/03c44v465 INFN, Bari Bari Polytechnic INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy Politecnico di Bari, Bari, Italy Apolinário, L. GRID:grid.420929.4 ROR:https://ror.org/01hys1667 LIP, Lisbon LIP, Laboratório de Instrumentação e Física Experimental de Partículas, Lisbon, Portugal Apollinari, G. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Appleby, R.B. GRID:grid.5379.8 GRID:grid.450757.4 ROR:https://ror.org/027m9bs27 ROR:https://ror.org/02a5smf05 ROR:https://ror.org/027m9bs27 U. Manchester (main) Cockcroft Inst. Accel. Sci. Tech. Manchester U. University of Manchester, Manchester, UK CI, Cockcroft Institute, Warrington, UK Apresyan, A. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Apyan, Aram GRID:grid.253264.4 ROR:https://ror.org/05abbep66 Brandeis U. Brandeis University, Waltham, MA, USA Apyan, Armen GRID:grid.48507.3e ROR:https://ror.org/00ad27c73 Yerevan Phys. Inst. A. Alikhanyan National Laboratory, Yerevan, Armenia Arbey, A. GRID:grid.433124.3 GRID:grid.7849.2 ROR:https://ror.org/02avf8f85 IP2I, Lyon CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IP2I, Institut de Physique des 2 Infinis de Lyon, Lyon, France Université Claude Bernard Lyon 1, Lyon, France Argiento, B. GRID:grid.6045.7 GRID:grid.4691.a ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy Università di Napoli Federico II, Naples, Italy Ari, V. GRID:grid.7256.6 ROR:https://ror.org/014weej12 Middle East Tech. U., Ankara Ankara Üniversitesi, Ankara, Türkiye Arias, S. GRID:grid.4514.4 ROR:https://ror.org/012a77v79 Lund U. (main) Lund University, Lund, Sweden Alonso, B. Arias GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Arnaez, O. GRID:grid.433124.3 GRID:grid.450330.1 GRID:grid.5388.6 ROR:https://ror.org/049nhh297 Annecy, LAPP CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LAPP, Laboratoire d’Annecy de Physique des Particules, Annecy, France Université Savoie Mont Blanc, Annecy, France Arnaldi, R. GRID:grid.6045.7 ROR:https://ror.org/01vj6ck58 INFN, Turin INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Torino, Turin, Italy Arneodo, F. GRID:grid.440573.1 ROR:https://ror.org/00e5k0821 New York U., Abu Dhabi New York University Abu Dhabi, Abu Dhabi, United Arab Emirates Arnold, H. GRID:grid.36425.36 ROR:https://ror.org/05qghxh33 SUNY, Stony Brook Stony Brook University, Stony Brook, NY, USA Sota, P. Arrutia GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Ascioti, M.E. GRID:grid.6045.7 GRID:grid.9027.c ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Perugia, Italy Università di Perugia, Perugia, Italy Assamagan, K.A. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Aumiller, S. GRID:grid.6936.a ROR:https://ror.org/02kkvpp62 Munich, Tech. U. Technische Universität München, Munich, Germany Aydın, G. GRID:grid.14352.31 Namik Kemal U. Hatay Mustafa Kemal Üniversitesi, Hatay, Türkiye Azizi, K. GRID:grid.46072.37 GRID:grid.19680.36 ROR:https://ror.org/05vf56z40 ROR:https://ror.org/0272rjm42 Tehran U. Dogus U., Kadikoy University of Tehran, Tehran, Iran Doğuş Üniversitesi, Istanbul, Türkiye Azzi, P. GRID:grid.6045.7 ROR:https://ror.org/00z34yn88 INFN, Padua INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Padua, Italy Bacchetta, N. GRID:grid.6045.7 ROR:https://ror.org/00z34yn88 INFN, Padua INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Padua, Italy Bacci, A. GRID:grid.6045.7 ROR:https://ror.org/04w4m6z96 INFN, Milan INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Bai, B. GRID:grid.19373.3f ROR:https://ror.org/01yqg2h08 Harbin Inst. Tech. Harbin Institute of Technology, Harbin, People’s Republic of China Bai, Y. GRID:grid.14003.36 ROR:https://ror.org/01y2jtd41 Wisconsin U., Madison University of Wisconsin-Madison, Madison, WI, USA Balconi, L. GRID:grid.6045.7 GRID:grid.4708.b ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/01ynf4891 ROR:https://ror.org/03xejxm22 INFN, Milan Milan Bicocca U. INFN, Milan Bicocca INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Università di Milano, Milan, Italy Baldinelli, G. GRID:grid.6045.7 GRID:grid.9027.c ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Perugia, Italy Università di Perugia, Perugia, Italy Balhan, B. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Ball, A.H. GRID:grid.9132.9 GRID:grid.14467.30 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/0089bg420 CERN Daresbury CERN, European Organization for Nuclear Research, Geneva, Switzerland RAL, Rutherford Appleton Laboratory, Science and Technology Facilities Council, Didcot, UK Ballarino, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Banerjee, S. GRID:grid.462414.1 ROR:https://ror.org/05078rg59 IMSc, Chennai IMSc, Institute of Mathematical Sciences, Chennai, India Banik, S. GRID:grid.5991.4 GRID:grid.7400.3 ROR:https://ror.org/03eh3y714 ROR:https://ror.org/02crff812 PSI, Villigen Zurich U. PSI, Paul Scherrer Institute, Villigen, Switzerland Universität Zürich, Zurich, Switzerland Barber, D.P. GRID:grid.7683.a GRID:grid.266832.b ROR:https://ror.org/01js2sh04 ROR:https://ror.org/05fs6jp91 DESY New Mexico U. DESY, Deutsches Elektronen-Synchrotron, Hamburg, Germany University of New Mexico, Albuquerque, NM, USA Barbero, M.B. GRID:grid.433124.3 GRID:grid.470046.1 GRID:grid.5399.6 ROR:https://ror.org/00fw8bp86 Marseille, CPPM CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France CPPM, Centre de Physique des Particules de Marseille, Marseille, France Aix-Marseille Université, Marseille, France Barducci, D. GRID:grid.6045.7 GRID:grid.5395.a ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, Pisa, Italy Università di Pisa, Pisa, Italy Barna, D. GRID:grid.419766.b ROR:https://ror.org/035dsb084 Wigner RCP, Budapest HUN-REN Wigner Research Centre for Physics, Budapest, Hungary Barnaföldi, G.G. GRID:grid.419766.b ROR:https://ror.org/035dsb084 Wigner RCP, Budapest HUN-REN Wigner Research Centre for Physics, Budapest, Hungary Barnes, M.J. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Barr, A.J. GRID:grid.4991.5 ROR:https://ror.org/052gg0110 Oxford U. University of Oxford, Oxford, UK Bartek, R. GRID:grid.39936.36 ROR:https://ror.org/047yk3s18 Catholic U. Catholic University of America, Washington, DC, USA Bartosik, H. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Bass, S.A. GRID:grid.26009.3d ROR:https://ror.org/00py81415 Duke U. Duke University, Durham, NC, USA Bassler, U. GRID:grid.433124.3 GRID:grid.463805.c GRID:grid.508893.f ROR:https://ror.org/058t6p923 Ecole Polytechnique CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LLR, Laboratoire Leprince-Ringuet, Palaiseau, France École Polytechnique, Institut Polytechnique de Paris, Palaiseau, France Basso, M.J. GRID:grid.232474.4 GRID:grid.61971.38 ROR:https://ror.org/03kgj4539 ROR:https://ror.org/0213rcc28 TRIUMF British Columbia U., Chem. Dept. Simon Fraser U. TRIUMF, Canada’s National Laboratory for Particle and Nuclear Physics, Vancouver, Canada Simon Fraser University, Burnaby, Canada Bastianin, A. GRID:grid.4708.b GRID:grid.16989.3f ROR:https://ror.org/01ynf4891 ROR:https://ror.org/03xejxm22 ROR:https://ror.org/049jf1a25 Milan Bicocca U. INFN, Milan Bicocca Frascati Università di Milano, Milan, Italy FEEM, Fondazione Ente Nazionale Idrocarburi (ENI) Enrico Mattei, Milan, Italy Bataillard, P. GRID:grid.16117.30 ROR:https://ror.org/005y2ap84 Chatillon, ONERA BRGM, Bureau de Recherches Géologiques et Minières, Orléans, France Battistin, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Bauche, J. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Baudin, L. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Baudot, J. GRID:grid.433124.3 GRID:grid.462076.1 GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IPHC, Institut Pluridisciplinaire Hubert Curien, Strasbourg, France Université de Strasbourg, Strasbourg, France Baudouy, B. GRID:grid.457342.3 ROR:https://ror.org/05k705z76 IRFU, Saclay CEA/Irfu, Commissariat à l’Energie Atomique et aux Energies Alternatives, Institut de recherche sur les lois fondamentales de l’Univers, Saclay, France Bauerdick, L. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Bayındır, C. GRID:grid.58192.37 GRID:grid.10516.33 ROR:https://ror.org/014weej12 Mimar Sinan U. Middle East Tech. U., Ankara Işık Üniversitesi, Istanbul, Türkiye İstanbul Teknik Üniversitesi, Istanbul, Türkiye Beck, H.P. GRID:grid.5734.5 ROR:https://ror.org/02k7v4d05 Bern U. UNIBE, University of Bern, Bern, Switzerland Bedeschi, F. GRID:grid.6045.7 ROR:https://ror.org/05symbg58 INFN, Pisa INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, Pisa, Italy Bee, C. GRID:grid.36425.36 ROR:https://ror.org/05qghxh33 SUNY, Stony Brook Stony Brook University, Stony Brook, NY, USA Begel, M. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Behtouei, M. GRID:grid.463190.9 ROR:https://ror.org/049jf1a25 Frascati INFN, Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati, Frascati, Italy Bellagamba, L. GRID:grid.6045.7 ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Bologna, Bologna, Italy Bellegarde, N. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Belli, E. GRID:grid.9132.9 GRID:grid.7841.a ROR:https://ror.org/01ggx4157 ROR:https://ror.org/02be6w209 CERN U. Rome La Sapienza (main) CERN, European Organization for Nuclear Research, Geneva, Switzerland Università di Roma la Sapienza, Rome, Italy Bellingeri, E. GRID:grid.5326.2 CNR, INO, Pisa CNR-SPIN, Consiglio Nazionale delle Ricerche, Genoa, Italy Belomestnykh, S. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Benaglia, A.D. GRID:grid.6045.7 ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano-Bicocca, Milan, Italy Bencivenni, G. GRID:grid.463190.9 ROR:https://ror.org/049jf1a25 Frascati INFN, Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati, Frascati, Italy Bendavid, J. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Benmergui, M. Unlisted, FR Expert naturaliste et entomologiste, Rumilly, France Benoit, M. GRID:grid.135519.a ROR:https://ror.org/01qz5mb56 Oak Ridge ORNL, Oak Ridge National Laboratory, Oak Ridge, TN, USA Benvenuti, D. GRID:grid.9132.9 GRID:grid.6045.7 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/05symbg58 CERN INFN, Pisa CERN, European Organization for Nuclear Research, Geneva, Switzerland INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, Pisa, Italy Bergauer, T. GRID:grid.450258.e ROR:https://ror.org/039shy520 Vienna, OAW HEPHY, Institut für Hochenergiephysik, Vienna, Austria Bernachot, N. Oran U. Geos, Bureau d’ingénieurs conseils en géotechnique, génie civil, hydraulique et environnement, Geneva, Switzerland Bernardi, G. GRID:grid.433124.3 GRID:grid.462017.6 GRID:grid.508487.6 ROR:https://ror.org/03tnjrr49 APC, Paris CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France APC, Laboratoire AstroParticule et Cosmologie, Paris, France Université Paris Cité, Paris, France Bernardi, J. GRID:grid.5329.d ROR:https://ror.org/04d836q62 TU Vienna TUWIEN, Technische Universität Wien, Vienna, Austria Berthet, Q. GRID:grid.5681.a GRID:grid.8591.5 ROR:https://ror.org/01swzsf04 ROR:https://ror.org/01swzsf04 Geneva U. Dortmund U. U. Geneva (main) HEPIA, Haute École du Paysage, d’Ingénierie et d’Architecture de Genève, Geneva, Switzerland HES-SO University of Applied Sciences and Arts Western Switzerland, Geneva, Switzerland UNIGE, Université de Genève, Geneva, Switzerland Bertoni, S. Unlisted, FR SETEC ALS, Société d’ingénierie conseil en infrastructures de transport, génie civil et environnement, Lyon, France Bertulani, C. GRID:grid.264758.a ROR:https://ror.org/01f5ytq51 Texas A-M East Texas A&M University, Commerce, TX, USA Besana, M.I. GRID:grid.5991.4 ROR:https://ror.org/03eh3y714 PSI, Villigen PSI, Paul Scherrer Institute, Villigen, Switzerland Besson, A. GRID:grid.433124.3 GRID:grid.462076.1 GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IPHC, Institut Pluridisciplinaire Hubert Curien, Strasbourg, France Université de Strasbourg, Strasbourg, France Bettelini, M. Furukawa Electric Amberg Engineering Ltd, Regensdorf-Watt, Switzerland Bettoni, S. GRID:grid.5991.4 ROR:https://ror.org/03eh3y714 PSI, Villigen PSI, Paul Scherrer Institute, Villigen, Switzerland Beuvier, S. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Bhat, P.C. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Bhattacharya, S. GRID:grid.263864.d ROR:https://ror.org/042tdr378 Southern Methodist U. Southern Methodist University, Dallas, TX, USA Bhom, J. GRID:grid.413454.3 ROR:https://ror.org/01n78t774 Cracow, INP IFJ PAN, Institute of Nuclear Physics, Polish Academy of Sciences, Kraków, Poland Biagini, M.E. GRID:grid.463190.9 ROR:https://ror.org/049jf1a25 Frascati INFN, Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati, Frascati, Italy Bibet-Chevalier, A. GRID:grid.432932.d Unlisted, FR Cerema, établissement public pour l’élaboration, le déploiement et l’évaluation de politiques publiques d’aménagement et de transport, Lyon, France Bicrel, M. TCS, Madhapur Rendel Ltd, Engineering design consultancy firm, London, UK Biglietti, M. GRID:grid.470220.3 ROR:https://ror.org/009wnjh50 INFN, Rome3 INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Roma Tre, Rome, Italy Bilei, G.M. GRID:grid.6045.7 ROR:https://ror.org/05478fx36 INFN, Perugia INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Perugia, Italy Bilki, B. GRID:grid.449464.f GRID:grid.214572.7 ROR:https://ror.org/03dcvf827 ROR:https://ror.org/036jqmy94 Beykent U. Iowa U. İstanbul Beykent Üniversitesi, Istanbul, Türkiye University of Iowa, Iowa City, IA, USA Christensen, K. Bisgaard GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Biswas, T. GRID:grid.417965.8 ROR:https://ror.org/05pjsgx75 Indian Inst. Tech., Kanpur Indian Institute of Technology Kanpur, Kanpur, India Blanc, F. GRID:grid.5333.6 ROR:https://ror.org/02s376052 ROR:https://ror.org/02v51f717 Ecole Polytechnique, Lausanne Peking U., Beijing EPFL, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Blekman, F. GRID:grid.7683.a GRID:grid.9026.d GRID:grid.8767.e ROR:https://ror.org/01js2sh04 ROR:https://ror.org/00g30e956 ROR:https://ror.org/006e5kg04 DESY Hamburg U. Vrije U., Brussels DESY, Deutsches Elektronen-Synchrotron, Hamburg, Germany Fakultät für Mathematik, Informatik und Naturwissenschaften, Universität Hamburg, Hamburg, Germany VUB, Vrije Universiteit Brussel, Brussels, Belgium Blondel, A. GRID:grid.433124.3 GRID:grid.8591.5 GRID:grid.463935.e ROR:https://ror.org/01swzsf04 U. Geneva (main) Paris U., VI-VII CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France UNIGE, Université de Genève, Geneva, Switzerland LPNHE, Laboratoire de Physique Nucléaire et de Hautes Énergies, Paris, France Blümlein, J. GRID:grid.7683.a ROR:https://ror.org/01js2sh04 DESY DESY, Deutsches Elektronen-Synchrotron, Hamburg, Germany Boccanfuso, D. GRID:grid.6045.7 GRID:grid.508348.2 ROR:https://ror.org/015kcdd40 ROR:https://ror.org/04swxte59 INFN, Naples SSM, Naples INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy Scuola Superiore Meridionale, Naples, Italy Bogomyagkov, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, Geneva, Switzerland Boillon, P. GRID:grid.432932.d Unlisted, FR Cerema, établissement public pour l’élaboration, le déploiement et l’évaluation de politiques publiques d’aménagement et de transport, Lyon, France Boivin, P. GRID:grid.5681.a Dortmund U. HES-SO University of Applied Sciences and Arts Western Switzerland, Geneva, Switzerland Boland, M.J. GRID:grid.25152.31 ROR:https://ror.org/010x8gc63 Saskatchewan U. University of Saskatchewan and the Canadian Light Source, Saskatoon, Canada Bologna, S. GRID:grid.5337.2 ROR:https://ror.org/0524sp257 Bristol U. University of Bristol, Bristol, UK Bolukbasi, O. GRID:grid.9601.e ROR:https://ror.org/03z9tma90 Bogazici U. İstanbul Üniversitesi, Istanbul, Türkiye Bonnet, R. Unlisted, FR SETEC ALS, Société d’ingénierie conseil en infrastructures de transport, génie civil et environnement, Lyon, France Borburgh, J. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Bordry, F. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland de Sousa, P. Borges GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Borghello, G. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Borriello, L. GRID:grid.6045.7 ROR:https://ror.org/015kcdd40 INFN, Naples INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy Bortoletto, D. GRID:grid.4991.5 ROR:https://ror.org/052gg0110 Oxford U. University of Oxford, Oxford, UK Boscolo, M. GRID:grid.463190.9 ROR:https://ror.org/049jf1a25 Frascati INFN, Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati, Frascati, Italy Bottura, L. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Boudoul, G. GRID:grid.433124.3 GRID:grid.7849.2 ROR:https://ror.org/02avf8f85 IP2I, Lyon CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IP2I, Institut de Physique des 2 Infinis de Lyon, Lyon, France Université Claude Bernard Lyon 1, Lyon, France Boudry, V. GRID:grid.433124.3 GRID:grid.463805.c GRID:grid.508893.f ROR:https://ror.org/058t6p923 Ecole Polytechnique CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LLR, Laboratoire Leprince-Ringuet, Palaiseau, France École Polytechnique, Institut Polytechnique de Paris, Palaiseau, France Boughezal, R. GRID:grid.16753.36 ROR:https://ror.org/000e0be47 Northwestern U. Northwestern University, Evanston, IL, USA Bourilkov, D. GRID:grid.15276.37 ROR:https://ror.org/02y3ad647 U. Florida, Gainesville (main) University of Florida, Gainesville, FL, USA Boyd, M. GRID:grid.232474.4 GRID:grid.21100.32 ROR:https://ror.org/03kgj4539 ROR:https://ror.org/05fq50484 TRIUMF British Columbia U., Chem. Dept. York U., Toronto (main) TRIUMF, Canada’s National Laboratory for Particle and Nuclear Physics, Vancouver, Canada York University, Toronto, Canada Boye, D. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Bozzi, G. GRID:grid.6045.7 GRID:grid.7763.5 ROR:https://ror.org/03paz5966 ROR:https://ror.org/003109y17 INFN, Cagliari Cagliari U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Cagliari, Cagliari, Italy Università di Cagliari, Cagliari, Italy Braccini, V. GRID:grid.5326.2 CNR, INO, Pisa CNR-SPIN, Consiglio Nazionale delle Ricerche, Genoa, Italy Bracco, C. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Bradu, B. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Braghieri, A. GRID:grid.6045.7 ROR:https://ror.org/01st30669 INFN, Pavia Brescia U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Pavia, Italy Braibant, S. GRID:grid.6045.7 GRID:grid.6292.f ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/01111rn36 INFN, Bologna U. Bologna (main) INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Bologna, Bologna, Italy Università di Bologna, Bologna, Italy Bramante, J. GRID:grid.410356.5 ROR:https://ror.org/02y72wh86 Queen's U., Kingston Queen’s University, Kingston, Canada Branco, G.C. GRID:grid.9983.b ROR:https://ror.org/01c27hj86 Lisbon, CFTP CFTP-IST, Centro de Física Téorica de Partículas, Instituto Superior Tecnico, Universidade de Lisboa, Lisbon, Portugal Brenner, R. GRID:grid.8993.b ROR:https://ror.org/048a87296 Uppsala U. Uppsala University, Uppsala, Sweden Brisa, N. Unlisted, FR SETEC ALS, Société d’ingénierie conseil en infrastructures de transport, génie civil et environnement, Lyon, France Britzger, D. GRID:grid.435824.c ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE MPP, Max-Planck-Institut für Physik Garching, Garching, Germany Broggi, G. GRID:grid.9132.9 GRID:grid.7841.a ROR:https://ror.org/01ggx4157 ROR:https://ror.org/02be6w209 CERN U. Rome La Sapienza (main) CERN, European Organization for Nuclear Research, Geneva, Switzerland Università di Roma la Sapienza, Rome, Italy Bromiley, L. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Brost, E. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Bruant, Q. GRID:grid.457342.3 ROR:https://ror.org/05k705z76 IRFU, Saclay CEA/Irfu, Commissariat à l’Energie Atomique et aux Energies Alternatives, Institut de recherche sur les lois fondamentales de l’Univers, Saclay, France Bruce, R. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Bründermann, E. GRID:grid.7892.4 ROR:https://ror.org/04t3en479 KIT, Karlsruhe, IKP KIT, Karlsruher Institut für Technologie, Karlsruhe, Germany Brunetti, L. GRID:grid.433124.3 GRID:grid.450330.1 GRID:grid.5388.6 ROR:https://ror.org/049nhh297 Annecy, LAPP CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LAPP, Laboratoire d’Annecy de Physique des Particules, Annecy, France Université Savoie Mont Blanc, Annecy, France Brüning, O. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Brunner, O. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Buffat, X. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Bulyak, E. GRID:grid.425540.2 ROR:https://ror.org/00183pc12 Kharkov, KIPT NSC KIPT, National Science Center Kharkiv Institute of Physics and Technology, Kharkiv, Ukraine Burdyko, A. GRID:grid.6045.7 GRID:grid.18147.3b ROR:https://ror.org/04w4m6z96 INFN, Milan Insubria U., Como INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Università degli Studi dell’Insubria, Como, Italy Burkhardt, H. GRID:grid.9132.9 GRID:grid.5963.9 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/0245cg223 CERN Freiburg U. CERN, European Organization for Nuclear Research, Geneva, Switzerland Albert-Ludwigs-Universität Freiburg, Freiburg im Breisgau, Germany Burrows, P.N. GRID:grid.4991.5 ROR:https://ror.org/00wgpgb78 JAI, UK JAI, John Adams Institute for Accelerator Science, University of Oxford, Oxford, UK Busatto, S. GRID:grid.6045.7 GRID:grid.7841.a ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/02be6w209 INFN, Milan U. Rome La Sapienza (main) INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Università di Roma la Sapienza, Rome, Italy Buschaert, S. GRID:grid.16117.30 ROR:https://ror.org/005y2ap84 Chatillon, ONERA BRGM, Bureau de Recherches Géologiques et Minières, Orléans, France Buttazzo, D. GRID:grid.6045.7 ROR:https://ror.org/05symbg58 INFN, Pisa INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, Pisa, Italy Butterworth, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Butti, D. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Cacciapaglia, G. GRID:grid.457018.f GRID:grid.463942.e GRID:grid.462844.8 ROR:https://ror.org/02mph9k76 Paris, LPTHE CNRS/INP, Centre National de la Recherche Scientifique, Institut de Physique, Paris, France LPTHE, Laboratoire de Physique Théorique et Hautes Energies, Paris, France Sorbonne Université, Paris, France Cai, Y. GRID:grid.445003.6 ROR:https://ror.org/05gzmn429 SLAC SLAC National Accelerator Laboratory, Menlo Park, CA, USA Caiffi, B. GRID:grid.6045.7 ROR:https://ror.org/02v89pq06 INFN, Genoa INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Genova, Genoa, Italy Cairo, V. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Cakir, O. GRID:grid.7256.6 ROR:https://ror.org/014weej12 Middle East Tech. U., Ankara Ankara Üniversitesi, Ankara, Türkiye Calafiura, P. GRID:grid.184769.5 ROR:https://ror.org/02jbv0t02 LBNL, Berkeley LBNL, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Calaga, R. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Calatroni, S. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Caldwell, D.G. GRID:grid.25786.3e ROR:https://ror.org/042t93s57 Italian Inst. Tech., Genoa IIT, Instituto Italiano di Tecnologia, Genoa, Italy Çalışkan, A. GRID:grid.448936.4 ROR:https://ror.org/01wntqw50 Ankara U. Gümüşhane Üniversitesi, Gümüşhane, Türkiye Calpini, C. CERN ADAM, Geneva WSP Ingénieurs Conseils SA, Geneva, Switzerland Calviani, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Camacho-Pérez, E. GRID:grid.412864.d CINVESTAV, Monterrey UADY, Autonomous University of Yucatan, Mérida, Mexico Camarri, P. GRID:grid.6045.7 GRID:grid.6530.0 ROR:https://ror.org/025rrx658 ROR:https://ror.org/043qcb444 ROR:https://ror.org/02be6w209 INFN, Rome2 GSSI, Aquila Rome U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Roma Tor Vergata, Rome, Italy Università Roma Tor Vergata, Rome, Italy Caminada, L. GRID:grid.5991.4 GRID:grid.7400.3 ROR:https://ror.org/03eh3y714 ROR:https://ror.org/02crff812 PSI, Villigen Zurich U. PSI, Paul Scherrer Institute, Villigen, Switzerland Universität Zürich, Zurich, Switzerland Campajola, M. GRID:grid.6045.7 GRID:grid.4691.a ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy Università di Napoli Federico II, Naples, Italy Canbay, A.C. GRID:grid.7256.6 ROR:https://ror.org/014weej12 Middle East Tech. U., Ankara Ankara Üniversitesi, Ankara, Türkiye Canderan, K. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Candido, S. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Canelli, F. GRID:grid.7400.3 ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Canepa, A. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Cantarella, S. GRID:grid.463190.9 ROR:https://ror.org/049jf1a25 Frascati INFN, Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati, Frascati, Italy Cantún-Avila, K.B. GRID:grid.412864.d CINVESTAV, Monterrey UADY, Autonomous University of Yucatan, Mérida, Mexico Capriotti, L. GRID:grid.6045.7 GRID:grid.8484.0 ROR:https://ror.org/00zs3y046 ROR:https://ror.org/041zkgm14 INFN, Ferrara Ferrara U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Ferrara, Ferrara, Italy Università di Ferrara, Ferrara, Italy Caram, A. Unlisted, FR MARCELEON, Cabinet d’ingénierie juridique et foncière, Chambéry, France Carbone, A. GRID:grid.6045.7 ROR:https://ror.org/04w4m6z96 INFN, Milan INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Carceller, J.M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Carini, G. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Carlier, F. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Carloni Calame, C.M. GRID:grid.6045.7 ROR:https://ror.org/01st30669 INFN, Pavia Brescia U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Pavia, Italy Carra, F. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Cartannaz, C. GRID:grid.16117.30 ROR:https://ror.org/005y2ap84 Chatillon, ONERA BRGM, Bureau de Recherches Géologiques et Minières, Orléans, France Casenove, S. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Catalano, G. Moscow, ITEP CSIL (Economic Research Institute), Milan, Italy Cavaliere, V. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Cazzaniga, C. GRID:grid.5801.c ROR:https://ror.org/05a28rw58 ETH, Zurich (main) ETHZ, Swiss Federal Institute of Technology Zurich, Zurich, Switzerland Cecchi, C. GRID:grid.6045.7 GRID:grid.9027.c ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Perugia, Italy Università di Perugia, Perugia, Italy Celiberto, F.G. GRID:grid.7159.a Alcala de Henares U. UAH, Universidad de Alcalá Madrid, Alcalá de Henares, Spain Cepeda, M. GRID:grid.420019.e ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Madrid, Escuela Tec. Sup. Ing. Ind. CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid, Spain Cerutti, F. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Cetorelli, F. GRID:grid.6045.7 GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano-Bicocca, Milan, Italy Università di Milano-Bicocca, Milan, Italy Chachamis, G. GRID:grid.420929.4 ROR:https://ror.org/01hys1667 LIP, Lisbon LIP, Laboratório de Instrumentação e Física Experimental de Partículas, Lisbon, Portugal Chae, Y. GRID:grid.7683.a ROR:https://ror.org/01js2sh04 DESY DESY, Deutsches Elektronen-Synchrotron, Hamburg, Germany Chagnet, F. Unlisted, FR CIA, Conseil Ingénierie Acoustique, Lyon, France Chaikovska, I. GRID:grid.433124.3 GRID:grid.508754.b GRID:grid.508487.6 ROR:https://ror.org/03gc1p724 IJCLab, Orsay CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IJCLab, Laboratoire de Physique des 2 Infinis Irène Joliot Curie, Orsay, France Université Paris-Saclay et Université Paris-Cité, Paris, France Chalhoub, M. GRID:grid.16117.30 ROR:https://ror.org/005y2ap84 Chatillon, ONERA BRGM, Bureau de Recherches Géologiques et Minières, Orléans, France Chamizo-Llatas, M. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Champagne, M. Unlisted, FR Evinerude, Bureau d’études environnementales, Lyon, France Chanal, H. GRID:grid.433124.3 GRID:grid.470921.9 GRID:grid.494717.8 ROR:https://ror.org/0214k6v65 LPC, Clermont-Ferrand CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LPCA, Laboratoire de Physique de Clermont Auvergne, Clermont-Ferrand, France Université Clermont Auvergne, Clermont-Ferrand, France Chapelier, G. GRID:grid.432932.d Unlisted, FR Cerema, établissement public pour l’élaboration, le déploiement et l’évaluation de politiques publiques d’aménagement et de transport, Lyon, France Charitos, P. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Charles, C. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Charles, T.K. GRID:grid.248753.f ROR:https://ror.org/05j7fep28 ANSTO, Menai ANSTO, Australian Synchrotron, Melbourne, Australia Charlot, C. GRID:grid.433124.3 GRID:grid.463805.c GRID:grid.508893.f ROR:https://ror.org/058t6p923 Ecole Polytechnique CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LLR, Laboratoire Leprince-Ringuet, Palaiseau, France École Polytechnique, Institut Polytechnique de Paris, Palaiseau, France Chatterjee, S. GRID:grid.7683.a ROR:https://ror.org/01js2sh04 DESY DESY, Deutsches Elektronen-Synchrotron, Hamburg, Germany Chaudhuri, A. Unlisted, IN Brahmananda Keshab Chandra College, Kolkata, India Chehab, R. GRID:grid.433124.3 GRID:grid.508754.b GRID:grid.508487.6 ROR:https://ror.org/03gc1p724 IJCLab, Orsay CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IJCLab, Laboratoire de Physique des 2 Infinis Irène Joliot Curie, Orsay, France Université Paris-Saclay et Université Paris-Cité, Paris, France Chekanov, S.V. GRID:grid.187073.a ROR:https://ror.org/05gvnxz63 Argonne ANL, Argonne National Laboratory, Lemont, IL, USA Chen, H. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Chesne, T. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Chiapponi, F. GRID:grid.6045.7 GRID:grid.6292.f ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/01111rn36 INFN, Bologna U. Bologna (main) INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Bologna, Bologna, Italy Università di Bologna, Bologna, Italy Chiarello, G. GRID:grid.6045.7 GRID:grid.10776.37 ROR:https://ror.org/00qrf6g60 ROR:https://ror.org/03fc1k060 ROR:https://ror.org/044k9ta02 INFN, Lecce Salento U. Palermo U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Lecce, Lecce, Italy Università di Palermo, Palermo, Italy Chiesa, M. GRID:grid.6045.7 ROR:https://ror.org/01st30669 INFN, Pavia Brescia U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Pavia, Italy Chiggiato, P. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Chomaz, P. GRID:grid.457342.3 ROR:https://ror.org/05k705z76 IRFU, Saclay CEA/Irfu, Commissariat à l’Energie Atomique et aux Energies Alternatives, Institut de recherche sur les lois fondamentales de l’Univers, Saclay, France Chorowski, M. GRID:grid.7005.2 Wroclaw Tech. U. Wrocław University of Science and Technology, Wrocław, Poland Chou, J.P. GRID:grid.430387.b ROR:https://ror.org/05vt9qd57 Rutgers U., Piscataway Rutgers University, New Brunswick, NJ, USA Chrzaszcz, M. GRID:grid.413454.3 ROR:https://ror.org/01n78t774 Cracow, INP IFJ PAN, Institute of Nuclear Physics, Polish Academy of Sciences, Kraków, Poland Chung, W. GRID:grid.16750.35 ROR:https://ror.org/00hx57361 Princeton U. Princeton University, Princeton, NJ, USA Ciarlantini, S. GRID:grid.6045.7 GRID:grid.5608.b ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Padua, Italy Università di Padova, Padua, Italy Ciarma, A. GRID:grid.463190.9 ROR:https://ror.org/049jf1a25 Frascati INFN, Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati, Frascati, Italy Cieri, D. GRID:grid.435824.c ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE MPP, Max-Planck-Institut für Physik Garching, Garching, Germany Ciftci, A.K. GRID:grid.411796.c ROR:https://ror.org/04hjr4202 Izmir U. Economics, Izmir IUE, İzmir Ekonomi Üniversitesi, Izmir, Türkiye Ciftci, R. GRID:grid.8302.9 Izmir, Yasar U. Ege Üniversitesi, Izmir, Türkiye Cimino, R. GRID:grid.463190.9 ROR:https://ror.org/049jf1a25 Frascati INFN, Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati, Frascati, Italy Cirotto, F. GRID:grid.6045.7 GRID:grid.4691.a ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy Università di Napoli Federico II, Naples, Italy Ciuchini, M. GRID:grid.470220.3 ROR:https://ror.org/009wnjh50 INFN, Rome3 INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Roma Tre, Rome, Italy Cobal, M. GRID:grid.470223.0 GRID:grid.5390.f ROR:https://ror.org/04m8t3f14 INFN, Udine Udine U. INFN, Istituto Nazionale di Fisica Nucleare, Gruppo Collegato di Udine, Udine, Italy Università di Udine, Udine, Italy Coccaro, A. GRID:grid.6045.7 ROR:https://ror.org/02v89pq06 INFN, Genoa INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Genova, Genoa, Italy De Sa, R. Coelho Lopes GRID:grid.266683.f ROR:https://ror.org/0072zz521 Massachusetts U., Amherst University of Massachusetts Amherst, Amherst, MA, USA Coleman-Smith, J.A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Collamati, F. GRID:grid.6045.7 ROR:https://ror.org/05eva6s33 INFN, Rome INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Roma, Rome, Italy Colldelram, C. ICE, Bellaterra CELLS/ALBA, Consortium for the Construction, Equipment and Exploitation of the Synchrotron Light Laboratory, Cerdanyola del Vallès, Spain Collier, P. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Collins, P. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Collot, J. GRID:grid.433124.3 GRID:grid.472561.3 GRID:grid.450307.5 ROR:https://ror.org/03f0apy98 LPSC, Grenoble CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LPSC, Laboratoire de Physique Subatomique et de Cosmologie, Grenoble, France Université Grenoble Alpes, Grenoble, France Colmenero, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Colnot, L. Moscow, ITEP CSIL (Economic Research Institute), Milan, Italy Coloretti, G. GRID:grid.7400.3 ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Contardo, D. GRID:grid.433124.3 GRID:grid.7849.2 ROR:https://ror.org/02avf8f85 IP2I, Lyon CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IP2I, Institut de Physique des 2 Infinis de Lyon, Lyon, France Université Claude Bernard Lyon 1, Lyon, France Conte, E. GRID:grid.433124.3 GRID:grid.462076.1 GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IPHC, Institut Pluridisciplinaire Hubert Curien, Strasbourg, France Université de Strasbourg, Strasbourg, France Conventi, F.A. GRID:grid.6045.7 GRID:grid.17682.3a ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy Università degli Studi di Napoli Parthenope, Naples, Italy Cook, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Cooley, L. GRID:grid.481548.4 GRID:grid.255986.5 ROR:https://ror.org/03s53g630 ROR:https://ror.org/05g3dte14 Natl. High Mag. Field Lab. Florida State U. National High Magnetic Field Laboratory, Tallahassee, FL, USA Florida State University, Tallahassee, FL, USA Cornell, A.S. GRID:grid.412988.e ROR:https://ror.org/04z6c2n17 Johannesburg U. University of Johannesburg, Johannesburg, South Africa Cornella, C. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Cornette, G. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Corredoira, I. GRID:grid.11794.3a ROR:https://ror.org/030eybx10 Santiago de Compostela U., IGFAE IGFAE, Instituto Galego de Fisica de Altas Enerxías, Universidade de Santiago de Compostela, Santiago de Compostela, Spain Pinto, P. Costa GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Couderc, F. GRID:grid.457342.3 ROR:https://ror.org/05k705z76 IRFU, Saclay CEA/Irfu, Commissariat à l’Energie Atomique et aux Energies Alternatives, Institut de recherche sur les lois fondamentales de l’Univers, Saclay, France Coupard, J. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Coussy, S. GRID:grid.16117.30 ROR:https://ror.org/005y2ap84 Chatillon, ONERA BRGM, Bureau de Recherches Géologiques et Minières, Orléans, France Crawford, G. GRID:grid.8756.c ROR:https://ror.org/00vtgdb53 Glasgow U. University of Glasgow, Glasgow, UK Crescenzi, R. GRID:grid.13063.37 London School of Economics LSE, London School of Economics, London, UK Garrido, I. Crespo GRID:grid.9132.9 GRID:grid.11794.3a ROR:https://ror.org/01ggx4157 ROR:https://ror.org/030eybx10 CERN Santiago de Compostela U. CERN, European Organization for Nuclear Research, Geneva, Switzerland Universidade de Santiago de Compostela, Santiago de Compostela, Spain Critchley, T. GRID:grid.9132.9 GRID:grid.8591.5 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/01swzsf04 CERN U. Geneva (main) CERN, European Organization for Nuclear Research, Geneva, Switzerland UNIGE, Université de Genève, Geneva, Switzerland Crivellin, A. GRID:grid.7400.3 ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Croci, T. GRID:grid.6045.7 ROR:https://ror.org/05478fx36 INFN, Perugia INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Perugia, Italy Cudré, C. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Cummings, G. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Cuna, F. GRID:grid.6045.7 ROR:https://ror.org/022hq6c49 INFN, Bari INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy Cunningham, R. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Curé, B. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Curtis, E. GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College London, London, UK D'Alfonso, M. GRID:grid.116068.8 ROR:https://ror.org/042nb2s44 MIT MIT, Massachusetts Institute of Technology, Cambridge, MA, USA Schwartzentruber, L. D'Aloia Unlisted, FR CETU, Centre d’Etude des Tunnels, Lyon, France D'Amen, G. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA D'Anzi, B. GRID:grid.6045.7 GRID:grid.7644.1 ROR:https://ror.org/022hq6c49 ROR:https://ror.org/027ynra39 INFN, Bari Bari U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy Università di Bari, Bari, Italy D'Avanzo, A. GRID:grid.6045.7 GRID:grid.4691.a ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy Università di Napoli Federico II, Naples, Italy d'Enterria, D. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland D'Onofrio, A. GRID:grid.6045.7 ROR:https://ror.org/015kcdd40 INFN, Naples INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy D'Onofrio, M. GRID:grid.10025.36 ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Liverpool, UK Da Col, M. Moscow, ITEP CSIL (Economic Research Institute), Milan, Italy Da Rocha Rolo, M. GRID:grid.6045.7 ROR:https://ror.org/01vj6ck58 INFN, Turin INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Torino, Turin, Italy Dachauer, C. Linde Kryotechnik, Pfungen Linde Kryotechnik AG, Pfungen, Switzerland Dağli, B. GRID:grid.412749.d TOBB ETU, Ankara TOBB ETU, TOBB Ekonomi ve Teknoloji Üniversitesi, Ankara, Türkiye Dainese, A. GRID:grid.6045.7 ROR:https://ror.org/00z34yn88 INFN, Padua INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Padua, Italy Dalena, B. GRID:grid.457342.3 ROR:https://ror.org/05k705z76 IRFU, Saclay CEA/Irfu, Commissariat à l’Energie Atomique et aux Energies Alternatives, Institut de recherche sur les lois fondamentales de l’Univers, Saclay, France Dallapiazza, W. Unlisted, AT ILF Consulting Engineers, Zurich, Switzerland Dam, M. GRID:grid.5254.6 ROR:https://ror.org/035b05819 Bohr Inst. NBI, Niels Bohr Institute, Copenhagen, Denmark Damerau, H. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Dao, V. GRID:grid.36425.36 ROR:https://ror.org/05qghxh33 SUNY, Stony Brook Stony Brook University, Stony Brook, NY, USA Das, A. GRID:grid.39158.36 ROR:https://ror.org/02e16g702 Hokkaido U. Hokkaido University, Sapporo, Japan Daugaard, M.S. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Dauphin, S. GRID:grid.432932.d Unlisted, FR Cerema, établissement public pour l’élaboration, le déploiement et l’évaluation de politiques publiques d’aménagement et de transport, Lyon, France David, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Davídek, T. GRID:grid.4491.8 ROR:https://ror.org/024d6js02 Charles U. CUNI, Charles University, Prague, Czech Republic Davies, G.J. GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College London, London, UK Davighi, J. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Dawson, S. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA de Blas, J. GRID:grid.4489.1 ROR:https://ror.org/04njjy449 Granada U. Universidad de Granada, Granada, Spain de Cosa, A. GRID:grid.5801.c ROR:https://ror.org/05a28rw58 ETH, Zurich (main) ETHZ, Swiss Federal Institute of Technology Zurich, Zurich, Switzerland De Curtis, S. GRID:grid.6045.7 ROR:https://ror.org/02vv5y108 INFN, Florence INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Firenze, Florence, Italy De Filippis, N. GRID:grid.6045.7 GRID:grid.4466.0 ROR:https://ror.org/022hq6c49 ROR:https://ror.org/03c44v465 INFN, Bari Bari Polytechnic INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy Politecnico di Bari, Bari, Italy De Lucia, E. GRID:grid.463190.9 ROR:https://ror.org/049jf1a25 Frascati INFN, Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati, Frascati, Italy De Maria, R. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland De Matteis, E. GRID:grid.6045.7 ROR:https://ror.org/04w4m6z96 INFN, Milan INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy De Roeck, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland De Santis, A. GRID:grid.463190.9 ROR:https://ror.org/049jf1a25 Frascati INFN, Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati, Frascati, Italy De Vita, A. GRID:grid.9132.9 GRID:grid.6045.7 GRID:grid.5608.b ROR:https://ror.org/01ggx4157 ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 CERN INFN, Padua Padua U. CERN, European Organization for Nuclear Research, Geneva, Switzerland INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Padua, Italy Università di Padova, Padua, Italy Deandrea, A. GRID:grid.433124.3 GRID:grid.7849.2 ROR:https://ror.org/02avf8f85 IP2I, Lyon CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IP2I, Institut de Physique des 2 Infinis de Lyon, Lyon, France Université Claude Bernard Lyon 1, Lyon, France Debono, C.J. GRID:grid.4462.4 ROR:https://ror.org/03a62bv60 Malta U. University of Malta, Msida, Malta Deeb, M. GRID:grid.5681.a Dortmund U. HES-SO University of Applied Sciences and Arts Western Switzerland, Geneva, Switzerland Defranchis, M.M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Degens, J. GRID:grid.10025.36 ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Liverpool, UK Deghaye, S. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Del Duca, V. GRID:grid.463190.9 ROR:https://ror.org/049jf1a25 Frascati INFN, Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati, Frascati, Italy Del Pio, C.L. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Del Vecchio, A. GRID:grid.7841.a ROR:https://ror.org/02be6w209 U. Rome La Sapienza (main) Università di Roma la Sapienza, Rome, Italy Delikaris, D. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Dell'Acqua, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Della Pietra, M. GRID:grid.6045.7 GRID:grid.4691.a ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy Università di Napoli Federico II, Naples, Italy Delmastro, M. GRID:grid.433124.3 GRID:grid.450330.1 GRID:grid.5388.6 ROR:https://ror.org/049nhh297 Annecy, LAPP CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LAPP, Laboratoire d’Annecy de Physique des Particules, Annecy, France Université Savoie Mont Blanc, Annecy, France Delprat, L. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Delugas, E. Moscow, ITEP CSIL (Economic Research Institute), Milan, Italy Demiragli, Z. GRID:grid.189504.1 ROR:https://ror.org/05qwgg493 Boston U. BU, Boston University, Boston, MA, USA Deniau, L. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Denisov, D. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Denizli, H. GRID:grid.411082.e ROR:https://ror.org/01x1kqx83 Abant Izzet Baysal U. IBU, Bolu Abant İzzet Baysal Üniversitesi, Bolu, Türkiye Denner, A. GRID:grid.8379.5 ROR:https://ror.org/00djv2c17 IISER, Kolkata, Mohanpur Julius-Maximilians-Universität Würzburg, Würzburg, Germany Denot, A. GRID:grid.432932.d Unlisted, FR Cerema, établissement public pour l’élaboration, le déploiement et l’évaluation de politiques publiques d’aménagement et de transport, Lyon, France Deptuch, G. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Desai, A. GRID:grid.1010.0 ROR:https://ror.org/00892tw58 Adelaide U. University of Adelaide, Adelaide, Australia Deveci, H. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Di Canto, A. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Di Ciaccio, A. GRID:grid.6045.7 GRID:grid.6530.0 ROR:https://ror.org/025rrx658 ROR:https://ror.org/043qcb444 ROR:https://ror.org/02be6w209 INFN, Rome2 GSSI, Aquila Rome U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Roma Tor Vergata, Rome, Italy Università Roma Tor Vergata, Rome, Italy Di Ciaccio, L. GRID:grid.433124.3 GRID:grid.450330.1 GRID:grid.5388.6 ROR:https://ror.org/049nhh297 Annecy, LAPP CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LAPP, Laboratoire d’Annecy de Physique des Particules, Annecy, France Université Savoie Mont Blanc, Annecy, France Di Croce, D. GRID:grid.9132.9 GRID:grid.5333.6 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/02s376052 ROR:https://ror.org/02v51f717 CERN Ecole Polytechnique, Lausanne Peking U., Beijing CERN, European Organization for Nuclear Research, Geneva, Switzerland EPFL, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Di Fraia, C. GRID:grid.6045.7 GRID:grid.4691.a ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy Università di Napoli Federico II, Naples, Italy Di Micco, B. GRID:grid.8509.4 GRID:grid.470220.3 ROR:https://ror.org/05vf0dg29 ROR:https://ror.org/009wnjh50 Rome III U. INFN, Rome3 Università Roma Tre, Rome, Italy INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Roma Tre, Rome, Italy Di Nardo, R. GRID:grid.8509.4 GRID:grid.470220.3 ROR:https://ror.org/05vf0dg29 ROR:https://ror.org/009wnjh50 Rome III U. INFN, Rome3 Università Roma Tre, Rome, Italy INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Roma Tre, Rome, Italy Dingley, T.B. GRID:grid.4991.5 ROR:https://ror.org/052gg0110 Oxford U. University of Oxford, Oxford, UK Djama, F. GRID:grid.433124.3 GRID:grid.470046.1 GRID:grid.5399.6 ROR:https://ror.org/00fw8bp86 Marseille, CPPM CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France CPPM, Centre de Physique des Particules de Marseille, Marseille, France Aix-Marseille Université, Marseille, France Djurabekova, F. GRID:grid.7737.4 ROR:https://ror.org/01x2x1522 Helsinki Inst. of Phys. HIP, Helsinki Institute of Physics, University of Helsinki, Helsinki, Finland Dockery, D. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Doebert, S. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Domange, D. GRID:grid.9132.9 GRID:grid.4989.c ROR:https://ror.org/01ggx4157 ROR:https://ror.org/040w2dm02 CERN Brussels U., IIHE CERN, European Organization for Nuclear Research, Geneva, Switzerland ULB, Université Libre de Bruxelles, Brussels, Belgium Donegà, M. GRID:grid.5801.c ROR:https://ror.org/05a28rw58 ETH, Zurich (main) ETHZ, Swiss Federal Institute of Technology Zurich, Zurich, Switzerland Dosselli, U. GRID:grid.6045.7 ROR:https://ror.org/00z34yn88 INFN, Padua INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Padua, Italy Dostmann, H.A. GRID:grid.9132.9 GRID:grid.5719.a ROR:https://ror.org/01ggx4157 CERN Stuttgart U. CERN, European Organization for Nuclear Research, Geneva, Switzerland IMA, Institut für Maschinenelemente, Universität Stuttgart, Stuttgart, Germany Dragovich, J.A. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Drebot, I. GRID:grid.6045.7 ROR:https://ror.org/04w4m6z96 INFN, Milan INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Drewes, M. GRID:grid.7942.8 ROR:https://ror.org/02495e989 Louvain U., CP3 CP3, Centre de Cosmologie, de Physique des Particules et de Phénoménologie, Université Catholique de Louvain, Louvain-la-Neuve, Belgium du Pree, T.A. GRID:grid.420012.5 ROR:https://ror.org/00f9tz983 NIKHEF, Amsterdam NIKHEF, Nationaal instituut voor subatomaire fysica, Amsterdam, The Netherlands Duan, Z. GRID:grid.9227.e ROR:https://ror.org/05qbk4x57 Beijing, GUCAS IHEP, Chinese Academy of Sciences, Beijing, People’s Republic of China Duarte-Galvan, C. GRID:grid.412863.a Sinaloa U. UAS, Universidad Autónoma de Sinaloa, Culiacán, Mexico Duboc, O. GRID:grid.5173.0 ROR:https://ror.org/03prydq77 Vienna U. BOKU, Universität für Bodenkultur Wien, Vienna, Austria Dubovyk, I. GRID:grid.11866.38 ROR:https://ror.org/0104rcc94 Silesia U. University of Silesia in Katowice, Katowice, Poland Duda, M. GRID:grid.5991.4 ROR:https://ror.org/03eh3y714 PSI, Villigen PSI, Paul Scherrer Institute, Villigen, Switzerland Duda, P. GRID:grid.7005.2 Wroclaw Tech. U. Wrocław University of Science and Technology, Wrocław, Poland Duran Yildiz, H. GRID:grid.7256.6 ROR:https://ror.org/014weej12 Middle East Tech. U., Ankara Ankara Üniversitesi, Ankara, Türkiye Durand, H. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Durand, P. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Durieux, G. GRID:grid.7942.8 ROR:https://ror.org/02495e989 Louvain U., CP3 CP3, Centre de Cosmologie, de Physique des Particules et de Phénoménologie, Université Catholique de Louvain, Louvain-la-Neuve, Belgium Dutheil, Y. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Dutta, I. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Dutta, J.S. GRID:grid.169077.e ROR:https://ror.org/02dqehb95 Purdue U. Purdue University, West Lafayette, IN, USA Dutta, S. GRID:grid.8195.5 ROR:https://ror.org/04gzb2213 Delhi U. University of Delhi, Delhi, India Duval, F. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Eder, F. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Eisterer, M. GRID:grid.5329.d ROR:https://ror.org/04d836q62 TU Vienna TUWIEN, Technische Universität Wien, Vienna, Austria Bitar, Z. El GRID:grid.433124.3 GRID:grid.462076.1 GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IPHC, Institut Pluridisciplinaire Hubert Curien, Strasbourg, France Université de Strasbourg, Strasbourg, France Saied, A. El Unlisted, FR Ginger BURGEAP, bureau d’études en environnement, Lyon, France Elisei, M. GRID:grid.6045.7 ROR:https://ror.org/04w4m6z96 INFN, Milan INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Ellis, J. GRID:grid.9132.9 GRID:grid.13097.3c ROR:https://ror.org/01ggx4157 ROR:https://ror.org/0220mzb33 CERN King's Coll. London CERN, European Organization for Nuclear Research, Geneva, Switzerland King’s College London, London, UK Elmetenawee, W. GRID:grid.6045.7 ROR:https://ror.org/022hq6c49 INFN, Bari INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy Elmsheuser, J. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Elvira, V. Daniel GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Eno, S.C. GRID:grid.164295.d ROR:https://ror.org/047s2c258 Maryland U. University of Maryland, College Park, MD, USA Enomoto, Y. GRID:grid.410794.f ROR:https://ror.org/01g5y5k24 KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Erdelyi, B.A. GRID:grid.6045.7 GRID:grid.5608.b ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Padua, Italy Università di Padova, Padua, Italy Eruteya, O.E. GRID:grid.8591.5 ROR:https://ror.org/01swzsf04 ROR:https://ror.org/01swzsf04 U. Geneva (main) Geneva U. UNIGE, Université de Genève, Geneva, Switzerland Geoenergy, Reservoir Geology and Basin Analysis Group, Geneva, Switzerland Escobar, M. Unlisted, FR SETEC International, Société d’ingénierie en charge des transports et des infrastructures, Lyon, France Etisken, O. GRID:grid.411047.7 ROR:https://ror.org/03z9tma90 Bogazici U. KKU, Kırıkkale Üniversitesi, Kırıkkale, Türkiye Eymard, I. CERN ADAM, Geneva WSP Ingénieurs Conseils SA, Geneva, Switzerland Eysermans, J. GRID:grid.116068.8 ROR:https://ror.org/042nb2s44 MIT MIT, Massachusetts Institute of Technology, Cambridge, MA, USA Falchieri, D. GRID:grid.6045.7 ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Bologna, Bologna, Italy Falkenberg, C. GRID:grid.5173.0 ROR:https://ror.org/03prydq77 Vienna U. BOKU, Universität für Bodenkultur Wien, Vienna, Austria Fallavollita, F. GRID:grid.9132.9 GRID:grid.435824.c ROR:https://ror.org/01ggx4157 ROR:https://ror.org/00e4bwe12 CERN Garching, Max Planck Inst., MPE CERN, European Organization for Nuclear Research, Geneva, Switzerland MPP, Max-Planck-Institut für Physik Garching, Garching, Germany Afalou, A. GRID:grid.9132.9 GRID:grid.433124.3 GRID:grid.508754.b ROR:https://ror.org/01ggx4157 ROR:https://ror.org/03gc1p724 CERN IJCLab, Orsay CERN, European Organization for Nuclear Research, Geneva, Switzerland CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IJCLab, Laboratoire de Physique des 2 Infinis Irène Joliot Curie, Orsay, France Faltova, J. GRID:grid.4491.8 ROR:https://ror.org/024d6js02 Charles U. CUNI, Charles University, Prague, Czech Republic Fanini, J. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Fanò, L. GRID:grid.6045.7 GRID:grid.9027.c ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Perugia, Italy Università di Perugia, Perugia, Italy Fanti, K. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Farinelli, R. GRID:grid.6045.7 ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Bologna, Bologna, Italy Farino, M. GRID:grid.16750.35 ROR:https://ror.org/00hx57361 Princeton U. Princeton University, Princeton, NJ, USA Farinon, S. GRID:grid.6045.7 ROR:https://ror.org/02v89pq06 INFN, Genoa INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Genova, Genoa, Italy Fatehi, H. GRID:grid.46072.37 ROR:https://ror.org/05vf56z40 Tehran U. University of Tehran, Tehran, Iran Fatterbert, J. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Faure, A. Unlisted, FR SETEC LERM, Société d’ingénierie conseil en matériaux de construction, Lyon, France Faus-Golfe, A. GRID:grid.433124.3 GRID:grid.508754.b GRID:grid.508487.6 ROR:https://ror.org/03gc1p724 IJCLab, Orsay CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IJCLab, Laboratoire de Physique des 2 Infinis Irène Joliot Curie, Orsay, France Université Paris-Saclay et Université Paris-Cité, Paris, France Favia, G. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Favilla, L. GRID:grid.6045.7 GRID:grid.508348.2 ROR:https://ror.org/015kcdd40 ROR:https://ror.org/04swxte59 INFN, Naples SSM, Naples INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy Scuola Superiore Meridionale, Naples, Italy Fawcett, W.J. GRID:grid.5335.0 ROR:https://ror.org/013meh722 Cambridge U. University of Cambridge, Cambridge, UK Federowicz, A. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Feligioni, L. GRID:grid.433124.3 GRID:grid.470046.1 GRID:grid.5399.6 ROR:https://ror.org/00fw8bp86 Marseille, CPPM CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France CPPM, Centre de Physique des Particules de Marseille, Marseille, France Aix-Marseille Université, Marseille, France Felsberger, L. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Feng, Y. GRID:grid.264784.b ROR:https://ror.org/0405mnx93 Texas Tech. Texas Tech University, Lubbock, TX, USA Fernández Téllez, A. GRID:grid.411659.e ROR:https://ror.org/03p2z7827 Puebla U., Inst. Fis. BUAP, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico Ferrari, R. GRID:grid.6045.7 ROR:https://ror.org/01st30669 INFN, Pavia Brescia U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Pavia, Italy Ferreira, L. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Ferro, F. GRID:grid.6045.7 ROR:https://ror.org/02v89pq06 INFN, Genoa INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Genova, Genoa, Italy Fiascaris, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Fiorio, C. GRID:grid.4708.b ROR:https://ror.org/01ynf4891 ROR:https://ror.org/03xejxm22 Milan Bicocca U. INFN, Milan Bicocca Università di Milano, Milan, Italy Fleury, S.A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Florez, L. Unlisted, AT ILF Consulting Engineers, Zurich, Switzerland Florio, M. GRID:grid.4708.b ROR:https://ror.org/01ynf4891 ROR:https://ror.org/03xejxm22 ROR:https://ror.org/0238gz740 Milan Bicocca U. INFN, Milan Bicocca Moscow, ITEP Università di Milano, Milan, Italy CSIL (Economic Research Institute), Milan, Italy Fondacci, A. GRID:grid.6045.7 ROR:https://ror.org/05478fx36 INFN, Perugia INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Perugia, Italy Fontimpe, B. Unlisted, FR SETEC International, Société d’ingénierie en charge des transports et des infrastructures, Lyon, France Foraz, K. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Fortunati, R. GRID:grid.5991.4 ROR:https://ror.org/03eh3y714 PSI, Villigen PSI, Paul Scherrer Institute, Villigen, Switzerland Fouaidy, M. GRID:grid.433124.3 GRID:grid.508754.b GRID:grid.508487.6 ROR:https://ror.org/03gc1p724 IJCLab, Orsay CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IJCLab, Laboratoire de Physique des 2 Infinis Irène Joliot Curie, Orsay, France Université Paris-Saclay et Université Paris-Cité, Paris, France Foussat, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Fowler, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Fox, J.D. GRID:grid.168010.e ROR:https://ror.org/00f54p054 Stanford U. Stanford University, Stanford, CA, USA Francesconi, M. GRID:grid.6045.7 ROR:https://ror.org/015kcdd40 INFN, Naples INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy Francois, B. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Ximenes, R. Franqueira GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Fransesini, F. GRID:grid.463190.9 ROR:https://ror.org/049jf1a25 Frascati INFN, Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati, Frascati, Italy Frasca, A. GRID:grid.9132.9 GRID:grid.10025.36 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/04xs57h96 CERN Liverpool U. CERN, European Organization for Nuclear Research, Geneva, Switzerland University of Liverpool, Liverpool, UK Freitas, A. GRID:grid.21925.3d ROR:https://ror.org/01an3r305 Pittsburgh U. University of Pittsburgh, Pittsburgh, PA, USA Frost, J.A. GRID:grid.4991.5 ROR:https://ror.org/052gg0110 Oxford U. University of Oxford, Oxford, UK Furukawa, K. GRID:grid.410794.f ROR:https://ror.org/01g5y5k24 KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Gabrielli, A. GRID:grid.6045.7 GRID:grid.6292.f ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/01111rn36 INFN, Bologna U. Bologna (main) INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Bologna, Bologna, Italy Università di Bologna, Bologna, Italy Gaddi, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Gaede, F. GRID:grid.7683.a ROR:https://ror.org/01js2sh04 DESY DESY, Deutsches Elektronen-Synchrotron, Hamburg, Germany Gallén, A. GRID:grid.8993.b ROR:https://ror.org/048a87296 Uppsala U. Uppsala University, Uppsala, Sweden Galler, R. GRID:grid.181790.6 Unlisted, AT MUL, Montanuniversität Leoben, Lehrstuhl für Subsurface Engineering, Geotechnik und unterirdisches Bauen, Leoben, Austria MUL-ZaB, Underground Research Center, Zentrum am Berg, Leoben, Austria Gallice, E. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Gallo, E. GRID:grid.7683.a GRID:grid.9026.d ROR:https://ror.org/01js2sh04 ROR:https://ror.org/00g30e956 DESY Hamburg U. DESY, Deutsches Elektronen-Synchrotron, Hamburg, Germany Fakultät für Mathematik, Informatik und Naturwissenschaften, Universität Hamburg, Hamburg, Germany Gamper, H. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Ganis, G. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Ganjour, S. GRID:grid.457342.3 ROR:https://ror.org/05k705z76 IRFU, Saclay CEA/Irfu, Commissariat à l’Energie Atomique et aux Energies Alternatives, Institut de recherche sur les lois fondamentales de l’Univers, Saclay, France Gao, S. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Garand, A. Unlisted, FR MARCELEON, Cabinet d’ingénierie juridique et foncière, Chambéry, France Garaus, C. GRID:grid.5173.0 ROR:https://ror.org/03prydq77 Vienna U. BOKU, Universität für Bodenkultur Wien, Vienna, Austria Garcia, D. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland García Alía, R. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Gil, R. García GRID:grid.435462.2 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE IFAE, Institut de Física d’Altes Energies, Barcelona, Spain Jaimes, C.M. Garcia GRID:grid.9132.9 GRID:grid.5333.6 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/02s376052 ROR:https://ror.org/02v51f717 CERN Ecole Polytechnique, Lausanne Peking U., Beijing CERN, European Organization for Nuclear Research, Geneva, Switzerland EPFL, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Rodrigues, H. Garcia GRID:grid.5991.4 GRID:grid.410380.e ROR:https://ror.org/03eh3y714 PSI, Villigen Unlisted, CH PSI, Paul Scherrer Institute, Villigen, Switzerland FHNW, University of Applied Sciences Northwestern Switzerland, Windisch, Switzerland Garion, C. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Garlaschè, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Garnier, D. Unlisted, FR CIA, Conseil Ingénierie Acoustique, Lyon, France Garzelli, M.V. GRID:grid.9026.d ROR:https://ror.org/00g30e956 Hamburg U. Fakultät für Mathematik, Informatik und Naturwissenschaften, Universität Hamburg, Hamburg, Germany Gascon-Shotkin, S. GRID:grid.433124.3 GRID:grid.7849.2 ROR:https://ror.org/02avf8f85 IP2I, Lyon CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IP2I, Institut de Physique des 2 Infinis de Lyon, Lyon, France Université Claude Bernard Lyon 1, Lyon, France Gasior, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Gaudino, G. GRID:grid.6045.7 GRID:grid.508348.2 ROR:https://ror.org/015kcdd40 ROR:https://ror.org/04swxte59 INFN, Naples SSM, Naples INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy Scuola Superiore Meridionale, Naples, Italy Gaudio, G. GRID:grid.6045.7 ROR:https://ror.org/01st30669 INFN, Pavia Brescia U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Pavia, Italy Gaur, V. GRID:grid.444415.4 ROR:https://ror.org/04q2jes40 UPES, Dehradun UPES, University of Petroleum and Energy Studies, Dehradun, India Gautam, K. GRID:grid.7400.3 GRID:grid.8767.e ROR:https://ror.org/02crff812 ROR:https://ror.org/006e5kg04 Zurich U. Vrije U., Brussels Universität Zürich, Zurich, Switzerland VUB, Vrije Universiteit Brussel, Brussels, Belgium Gawas, V. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Gehrmann, T. GRID:grid.7400.3 ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Gehrmann-De Ridder, A. GRID:grid.7400.3 GRID:grid.5801.c ROR:https://ror.org/02crff812 ROR:https://ror.org/05a28rw58 Zurich U. ETH, Zurich (main) Universität Zürich, Zurich, Switzerland ETHZ, Swiss Federal Institute of Technology Zurich, Zurich, Switzerland Geiger, K. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Genco, M. Moscow, ITEP CSIL (Economic Research Institute), Milan, Italy Gerigk, F. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Gerwig, H. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Ghribi, A. GRID:grid.9132.9 GRID:grid.433124.3 GRID:grid.72943.3b ROR:https://ror.org/01ggx4157 ROR:https://ror.org/042dc0x18 CERN GANIL CERN, European Organization for Nuclear Research, Geneva, Switzerland CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France GANIL, Grand Accélérateur National d’Ions Lourds, Caen, France Giacomelli, P. GRID:grid.6045.7 ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Bologna, Bologna, Italy Giagu, S. GRID:grid.7841.a GRID:grid.6045.7 ROR:https://ror.org/02be6w209 ROR:https://ror.org/05eva6s33 U. Rome La Sapienza (main) INFN, Rome Università di Roma la Sapienza, Rome, Italy INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Roma, Rome, Italy Gianfelice, E. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Giappichini, S. GRID:grid.7892.4 ROR:https://ror.org/04t3en479 KIT, Karlsruhe, IKP KIT, Karlsruher Institut für Technologie, Karlsruhe, Germany Gibellieri, D. GRID:grid.9132.9 GRID:grid.412043.0 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Université Caen Normandie, Caen, France Giffoni, F. Moscow, ITEP CSIL (Economic Research Institute), Milan, Italy da Silveira, G. Gil GRID:grid.8532.c ROR:https://ror.org/041yk2d64 Rio Grande do Sul U. UFRGS, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil Gilardoni, S.S. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Giovannetti, M. GRID:grid.463190.9 ROR:https://ror.org/049jf1a25 Frascati INFN, Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati, Frascati, Italy Girardet, T. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Girod, S. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/04xf6nm78 CERN Cadi Ayyad U., Marrakech CERN, European Organization for Nuclear Research, Geneva, Switzerland ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Giubellino, P. GRID:grid.6045.7 ROR:https://ror.org/01vj6ck58 INFN, Turin INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Torino, Turin, Italy Giubilato, P. GRID:grid.6045.7 GRID:grid.5608.b ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Padua, Italy Università di Padova, Padua, Italy Giuli, F. GRID:grid.6045.7 GRID:grid.6530.0 ROR:https://ror.org/025rrx658 ROR:https://ror.org/043qcb444 ROR:https://ror.org/02be6w209 INFN, Rome2 GSSI, Aquila Rome U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Roma Tor Vergata, Rome, Italy Università Roma Tor Vergata, Rome, Italy Giuliani, M. Unlisted, FR SETEC ALS, Société d’ingénierie conseil en infrastructures de transport, génie civil et environnement, Lyon, France Gkougkousis, E.L. GRID:grid.9132.9 GRID:grid.7400.3 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/02crff812 CERN Zurich U. CERN, European Organization for Nuclear Research, Geneva, Switzerland Universität Zürich, Zurich, Switzerland Glukhov, S. GRID:grid.6546.1 ROR:https://ror.org/05n911h24 Darmstadt, Tech. U. Technische Universität Darmstadt, Darmstadt, Germany Gluza, J. GRID:grid.11866.38 ROR:https://ror.org/0104rcc94 Silesia U. University of Silesia in Katowice, Katowice, Poland Goddard, B. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Goffing, C. GRID:grid.9132.9 GRID:grid.7892.4 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/04t3en479 CERN KIT, Karlsruhe, IKP CERN, European Organization for Nuclear Research, Geneva, Switzerland KIT, Karlsruher Institut für Technologie, Karlsruhe, Germany Goldsworthy, D. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Golling, T. GRID:grid.8591.5 ROR:https://ror.org/01swzsf04 U. Geneva (main) UNIGE, Université de Genève, Geneva, Switzerland Gonçalo, R. GRID:grid.420929.4 GRID:grid.8051.c ROR:https://ror.org/01hys1667 ROR:https://ror.org/04z8k9a98 LIP, Lisbon Coimbra U. LIP, Laboratório de Instrumentação e Física Experimental de Partículas, Lisbon, Portugal Universidade de Coimbra, Coimbra, Portugal Gonçalves, V.P. GRID:grid.411233.6 GRID:grid.411221.5 ROR:https://ror.org/04wn09761 ROR:https://ror.org/05msy9z54 IIP, Brazil Pelotas U. UFRN, Universidade Federal do Rio Grande do Norte, Natal, Brazil UFPel, Universidade Federal de Pelotas, Pelotas, Brazil Da Silva, T. Gonçalves Unlisted, FR SETEC International, Société d’ingénierie en charge des transports et des infrastructures, Lyon, France Gonski, J. GRID:grid.445003.6 ROR:https://ror.org/05gzmn429 SLAC SLAC National Accelerator Laboratory, Menlo Park, CA, USA Gonzalez Suarez, R. GRID:grid.8993.b ROR:https://ror.org/048a87296 Uppsala U. Uppsala University, Uppsala, Sweden Zadeh, S. Gorgi GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Gori, S. GRID:grid.205975.c ROR:https://ror.org/03s65by71 UC, Santa Cruz University of California Santa Cruz, Santa Cruz, CA, USA Gorini, E. GRID:grid.6045.7 GRID:grid.9906.6 ROR:https://ror.org/00qrf6g60 ROR:https://ror.org/03fc1k060 INFN, Lecce Salento U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Lecce, Lecce, Italy Università del Salento, Lecce, Italy Gouskos, L. GRID:grid.40263.33 ROR:https://ror.org/05gq02987 Brown U. Brown University, Providence, RI, USA Gouzevitch, M. GRID:grid.433124.3 GRID:grid.7849.2 ROR:https://ror.org/02avf8f85 IP2I, Lyon CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IP2I, Institut de Physique des 2 Infinis de Lyon, Lyon, France Université Claude Bernard Lyon 1, Lyon, France Granados, E. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Grancagnolo, F. GRID:grid.6045.7 ROR:https://ror.org/00qrf6g60 ROR:https://ror.org/03fc1k060 INFN, Lecce Salento U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Lecce, Lecce, Italy Grancagnolo, S. GRID:grid.6045.7 GRID:grid.9906.6 ROR:https://ror.org/00qrf6g60 ROR:https://ror.org/03fc1k060 INFN, Lecce Salento U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Lecce, Lecce, Italy Università del Salento, Lecce, Italy Grassellino, A. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Grau, A. GRID:grid.7892.4 ROR:https://ror.org/04t3en479 KIT, Karlsruhe, IKP KIT, Karlsruher Institut für Technologie, Karlsruhe, Germany Graverini, E. GRID:grid.6045.7 GRID:grid.5395.a GRID:grid.5333.6 ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 ROR:https://ror.org/02s376052 ROR:https://ror.org/02v51f717 INFN, Pisa Pisa U. Ecole Polytechnique, Lausanne Peking U., Beijing INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, Pisa, Italy Università di Pisa, Pisa, Italy EPFL, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Gravili, F.G. GRID:grid.6045.7 GRID:grid.9906.6 ROR:https://ror.org/00qrf6g60 ROR:https://ror.org/03fc1k060 INFN, Lecce Salento U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Lecce, Lecce, Italy Università del Salento, Lecce, Italy Gray, H.M. GRID:grid.184769.5 GRID:grid.47840.3f ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBNL, Berkeley UC, Berkeley LBNL, Lawrence Berkeley National Laboratory, Berkeley, CA, USA University of California Berkeley, Berkeley, CA, USA Grazzini, M. GRID:grid.7400.3 ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Greco, Mario GRID:grid.8509.4 GRID:grid.470220.3 ROR:https://ror.org/05vf0dg29 ROR:https://ror.org/009wnjh50 Rome III U. INFN, Rome3 Università Roma Tre, Rome, Italy INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Roma Tre, Rome, Italy Greco, Michela GRID:grid.6045.7 GRID:grid.7605.4 ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Torino, Turin, Italy Università di Torino, Turin, Italy Greljo, A. GRID:grid.6612.3 ROR:https://ror.org/02s6k3f65 Basel U. UNIBAS, University of Basel, Basel, Switzerland Grenard, J.-L. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Gritsan, A.V. GRID:grid.21107.35 ROR:https://ror.org/00za53h95 Johns Hopkins U. Johns Hopkins University, Baltimore, MD, USA Gröber, R. GRID:grid.6045.7 GRID:grid.5608.b ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Padua, Italy Università di Padova, Padua, Italy Grudiev, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Gschwendtner, E. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Gu, J. GRID:grid.8547.e ROR:https://ror.org/013q1eq08 Fudan U. Fudan University, Shanghai, People’s Republic of China Guadagnoli, D. GRID:grid.5388.6 GRID:grid.457018.f GRID:grid.462959.5 ROR:https://ror.org/010hz2d37 Annecy, LAPTH Université Savoie Mont Blanc, Annecy, France CNRS/INP, Centre National de la Recherche Scientifique, Institut de Physique, Paris, France LAPTh, Laboratoire d’Annecy-le-Vieux de Physique Théorique, Annecy-le-Vieux, France Guerrieri, G. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Guiavarch, A. Unlisted, FR Ginger BURGEAP, bureau d’études en environnement, Lyon, France Canton, G. Guillermo GRID:grid.9132.9 GRID:grid.459466.c ROR:https://ror.org/01ggx4157 ROR:https://ror.org/01m8p7q42 CERN DongGuan U. Technol. CERN, European Organization for Nuclear Research, Geneva, Switzerland Dongguan University of Technology, Dongguan, People’s Republic of China Guinchard, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Günaydin, Y.O. GRID:grid.411741.6 ROR:https://ror.org/04fjtte88 Suleyman Demirel U. Kahramanmaraş Sütçü İmam Üniversitesi, Kahramanmaraş, Türkiye Gurcel, K. Unlisted, FR Expert naturaliste et entomologiste, Rumilly, France Guerrero, L.X. Gutierrez GRID:grid.440446.6 ROR:https://ror.org/04eexme77 Chiapas Autonoma U. UNACH, Universidad Autónoma de Chiapas, Tuxtla Gutiérrez, Mexico MCTP, Mesoamerican Centre for Theoretical Physics, Tuxtla Gutiérrez, Mexico Rueda, D. Gutiérrez GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Gutiérrez-Rodríguez, A. GRID:grid.412865.c ROR:https://ror.org/01m296r74 Zacatecas U. UAZ, Universidad Autónoma de Zacatecas, Zacatecas, Mexico Guzey, V. GRID:grid.7737.4 GRID:grid.9681.6 ROR:https://ror.org/01x2x1522 ROR:https://ror.org/05n3dz165 Helsinki Inst. of Phys. Jyvaskyla U. HIP, Helsinki Institute of Physics, University of Helsinki, Helsinki, Finland University of Jyväskylä, Jyväskylä, Finland Haber, C. GRID:grid.184769.5 ROR:https://ror.org/02jbv0t02 LBNL, Berkeley LBNL, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Hacheney, T. GRID:grid.5675.1 ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, Dortmund, Germany Hacışahinoğlu, B. GRID:grid.9601.e ROR:https://ror.org/03z9tma90 Bogazici U. İstanbul Üniversitesi, Istanbul, Türkiye Hahn, K. GRID:grid.16753.36 ROR:https://ror.org/000e0be47 Northwestern U. Northwestern University, Evanston, IL, USA Hajer, J. GRID:grid.9983.b ROR:https://ror.org/01c27hj86 Lisbon, CFTP CFTP-IST, Centro de Física Téorica de Partículas, Instituto Superior Tecnico, Universidade de Lisboa, Lisbon, Portugal Hakulinen, T. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Hammersley, J.C. Home Office, London Overleaf, London, UK Hance, M. GRID:grid.205975.c ROR:https://ror.org/03s65by71 UC, Santa Cruz University of California Santa Cruz, Santa Cruz, CA, USA Hansen, J.B. GRID:grid.5254.6 ROR:https://ror.org/035b05819 Bohr Inst. NBI, Niels Bohr Institute, Copenhagen, Denmark Härer, B. GRID:grid.7892.4 ROR:https://ror.org/04t3en479 KIT, Karlsruhe, IKP KIT, Karlsruher Institut für Technologie, Karlsruhe, Germany Hauzinger, E. GRID:grid.181790.6 Unlisted, AT MUL, Montanuniversität Leoben, Lehrstuhl für Subsurface Engineering, Geotechnik und unterirdisches Bauen, Leoben, Austria Haviernik, M. GRID:grid.4491.8 ROR:https://ror.org/024d6js02 Charles U. CUNI, Charles University, Prague, Czech Republic Hegner, B. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Helsens, C. GRID:grid.5333.6 ROR:https://ror.org/02s376052 ROR:https://ror.org/02v51f717 Ecole Polytechnique, Lausanne Peking U., Beijing EPFL, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Henriques, Ana GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Hernalsteens, C. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Hernández-Arellano, H. GRID:grid.411659.e ROR:https://ror.org/03p2z7827 Puebla U., Inst. Fis. BUAP, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico Hernández-Pinto, R.J. GRID:grid.412863.a Sinaloa U. UAS, Universidad Autónoma de Sinaloa, Culiacán, Mexico Hernández-Ruíz, M.A. GRID:grid.412865.c ROR:https://ror.org/01m296r74 Zacatecas U. UAZ, Universidad Autónoma de Zacatecas, Zacatecas, Mexico Hernández-Sánchez, J. GRID:grid.411659.e ROR:https://ror.org/03p2z7827 Puebla U., Inst. Fis. BUAP, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico Heron, J.W. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Herrmann, L.M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Hirosky, R. GRID:grid.27755.32 ROR:https://ror.org/0153tk833 Virginia U. University of Virginia, Charlottesville, VA, USA Hirschauer, J.F. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Hobbs, J.D. GRID:grid.36425.36 ROR:https://ror.org/05qghxh33 SUNY, Stony Brook Stony Brook University, Stony Brook, NY, USA Hock, K. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Höche, S. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Hofer, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Hoffstaetter, G. GRID:grid.202665.5 GRID:grid.5386.8 ROR:https://ror.org/02ex6cf31 ROR:https://ror.org/05bnh6r87 Brookhaven Cornell U. BNL, Brookhaven National Laboratory, Upton, NY, USA Cornell University, Ithaca, NY, USA Höfle, W. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Hohlmann, M. GRID:grid.255966.b ROR:https://ror.org/04atsbb87 Florida Inst. Tech. FIT, Florida Institute of Technology, Melbourne, FL, USA Holdener, F. Unlisted, CH Shirokuma GmbH, Zurich, Switzerland Holzer, B. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Honorato, C.G. GRID:grid.411659.e ROR:https://ror.org/03p2z7827 Puebla U., Inst. Fis. BUAP, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico Hoorani, H. GRID:grid.466924.b ROR:https://ror.org/03e1sv842 NCP, Islamabad National Centre for Physics, Islamabad, Pakistan Houver, A. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Howling, E. GRID:grid.9132.9 GRID:grid.4991.5 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/052gg0110 ROR:https://ror.org/00wgpgb78 CERN Oxford U. JAI, UK CERN, European Organization for Nuclear Research, Geneva, Switzerland University of Oxford, Oxford, UK JAI, John Adams Institute for Accelerator Science, University of Oxford, Oxford, UK Huang, X. GRID:grid.445003.6 ROR:https://ror.org/05gzmn429 SLAC SLAC National Accelerator Laboratory, Menlo Park, CA, USA Hug, F. GRID:grid.5802.f ROR:https://ror.org/023b0x485 Mainz U. Johannes Gutenberg Universität Mainz, Mainz, Germany Humann, B. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Hunchak, P. GRID:grid.25152.31 ROR:https://ror.org/010x8gc63 Saskatchewan U. University of Saskatchewan and the Canadian Light Source, Saskatoon, Canada Husein, Y. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Hussain, A. GRID:grid.9132.9 GRID:grid.483915.2 ROR:https://ror.org/01ggx4157 CERN Islamabad, Pakistan AEC CERN, European Organization for Nuclear Research, Geneva, Switzerland PAEC, Pakistan Atomic Energy Commission, Islamabad, Pakistan Iadarola, G. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Iakovidis, G. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Iaselli, G. GRID:grid.6045.7 GRID:grid.4466.0 ROR:https://ror.org/022hq6c49 ROR:https://ror.org/03c44v465 INFN, Bari Bari Polytechnic INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy Politecnico di Bari, Bari, Italy Iengo, P. GRID:grid.6045.7 ROR:https://ror.org/015kcdd40 INFN, Naples INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy Ilg, A. GRID:grid.7400.3 ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Iodice, M. GRID:grid.470220.3 ROR:https://ror.org/009wnjh50 INFN, Rome3 INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Roma Tre, Rome, Italy Iorio, A.O.M. GRID:grid.6045.7 GRID:grid.4691.a ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy Università di Napoli Federico II, Naples, Italy Ippolito, V. GRID:grid.6045.7 ROR:https://ror.org/05eva6s33 INFN, Rome INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Roma, Rome, Italy Iriso, U. ICE, Bellaterra CELLS/ALBA, Consortium for the Construction, Equipment and Exploitation of the Synchrotron Light Laboratory, Cerdanyola del Vallès, Spain Isaacson, J. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Isidori, G. GRID:grid.7400.3 ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Islam, R. Indian Inst. Tech., Guwahati Mathabhanga College, Mathabhanga, India Istepanyan, A. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Izquierdo Bermudez, S. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Izzo, V. GRID:grid.6045.7 ROR:https://ror.org/015kcdd40 INFN, Naples INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy Jackson, P.D. GRID:grid.1010.0 ROR:https://ror.org/00892tw58 Adelaide U. University of Adelaide, Adelaide, Australia Jafari, R. GRID:grid.9132.9 GRID:grid.46072.37 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/05vf56z40 CERN Tehran U. CERN, European Organization for Nuclear Research, Geneva, Switzerland University of Tehran, Tehran, Iran Jagabathuni, S.S. GRID:grid.9132.9 GRID:grid.8591.5 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/01swzsf04 CERN U. Geneva (main) CERN, European Organization for Nuclear Research, Geneva, Switzerland UNIGE, Université de Genève, Geneva, Switzerland Jana, S. GRID:grid.450311.2 GRID:grid.419604.e ROR:https://ror.org/0165d9303 ROR:https://ror.org/052d0h423 Harish-Chandra Res. Inst. Heidelberg, Max Planck Inst. Harish-Chandra Research Institute, Prayagraj, India MPIK, Max-Planck-Institut für Kernphysik Heidelberg, Heidelberg, Germany Eriksson, C. Järmyr GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Jausserand, P. Unlisted, FR CIA, Conseil Ingénierie Acoustique, Lyon, France Jensen, M. GRID:grid.434715.0 ESS, Lund European Spallation Source ERIC, Lund, Sweden Jimenez, J.M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Joaquim, F.R. GRID:grid.9983.b ROR:https://ror.org/01c27hj86 Lisbon, CFTP CFTP-IST, Centro de Física Téorica de Partículas, Instituto Superior Tecnico, Universidade de Lisboa, Lisbon, Portugal Jones, O.R. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Joos, J. GRID:grid.432932.d Unlisted, FR Cerema, établissement public pour l’élaboration, le déploiement et l’évaluation de politiques publiques d’aménagement et de transport, Lyon, France Jourd'huy, E. GRID:grid.433124.3 GRID:grid.512697.e ROR:https://ror.org/04dcc3438 CC, Villeurbanne CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France Centre de calcul de l’IN2P3, Villeurbanne, France Jourdan, E. Unlisted, FR SETEC International, Société d’ingénierie en charge des transports et des infrastructures, Lyon, France Jowett, J.M. GRID:grid.9132.9 GRID:grid.159791.2 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/02k8cbn47 CERN Darmstadt, GSI CERN, European Organization for Nuclear Research, Geneva, Switzerland GSI, Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany Jueid, A. GRID:grid.410720.0 ROR:https://ror.org/00y0zf565 IBS, Daejeon, CTPU IBS, Institute for Basic Science, Center for Theoretical Physics of the Universe, Daejeon, Republic of Korea Jung, A.W. GRID:grid.169077.e ROR:https://ror.org/02dqehb95 Purdue U. Purdue University, West Lafayette, IN, USA Kagan, M. GRID:grid.445003.6 ROR:https://ror.org/05gzmn429 SLAC SLAC National Accelerator Laboratory, Menlo Park, CA, USA Kahraman, I. GRID:grid.7256.6 ROR:https://ror.org/014weej12 Middle East Tech. U., Ankara Ankara Üniversitesi, Ankara, Türkiye Kain, V. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Kalinowski, J. GRID:grid.12847.38 ROR:https://ror.org/039bjqg32 Warsaw U. University of Warsaw, Warsaw, Poland Kamenik, J.F. GRID:grid.8954.0 GRID:grid.445211.7 GRID:grid.11375.31 ROR:https://ror.org/05njb9z20 ROR:https://ror.org/05060sz93 Ljubljana U. Stefan Inst., Ljubljana University of Ljubljana, Ljubljana, Slovenia Jozef Stefan Institute, Ljubljana, Slovenia Kanso, A. BIPM, Sevres Microhumus, Bureau d’étude et d’ingénierie spécialisé dans la gestion des sols dégradés, Nancy, France Kar, T. GRID:grid.7700.0 ROR:https://ror.org/00fbnyb24 Wurzburg U. Fakultät für Physik und Astronomie, Universität Heidelberg, Heidelberg, Germany Kara, S.O. GRID:grid.412173.2 Nigde U. Niğde Ömer Halisdemir Üniversitesi, Niğde, Türkiye Karadeniz, H. GRID:grid.411709.a Giresun U. Giresun Üniversitesi, Giresun, Türkiye Karmakar, B. GRID:grid.11866.38 ROR:https://ror.org/0104rcc94 Silesia U. University of Silesia in Katowice, Katowice, Poland Karmarkar, S.R. GRID:grid.169077.e ROR:https://ror.org/02dqehb95 Purdue U. Purdue University, West Lafayette, IN, USA Karpati, V. GRID:grid.10334.35 Miskolc U. University of Miskolc, Miskolc, Hungary Karpov, I. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Karppinen, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Karst, P. GRID:grid.433124.3 GRID:grid.470046.1 GRID:grid.5399.6 ROR:https://ror.org/00fw8bp86 Marseille, CPPM CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France CPPM, Centre de Physique des Particules de Marseille, Marseille, France Aix-Marseille Université, Marseille, France Kartal, S. GRID:grid.9601.e ROR:https://ror.org/03z9tma90 Bogazici U. İstanbul Üniversitesi, Istanbul, Türkiye Kashikhin, V.V. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Kaya, U. GRID:grid.7256.6 ROR:https://ror.org/014weej12 Middle East Tech. U., Ankara Ankara Üniversitesi, Ankara, Türkiye Kehagias, A. GRID:grid.9132.9 GRID:grid.4241.3 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/03cx6bg69 CERN Natl. Tech. U., Athens CERN, European Organization for Nuclear Research, Geneva, Switzerland NTUA, National Technical University of Athens, Athens, Greece Keintzel, J. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Kennouche, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Kenzie, M. GRID:grid.5335.0 ROR:https://ror.org/013meh722 Cambridge U. University of Cambridge, Cambridge, UK Kerréveur-Lavaud, M. Columbia Basin Coll. PIBG, Pôle Invertébrés du Basin Genevois, Geneva, Switzerland Kersevan, R. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN ADAM, Geneva CERN, European Organization for Nuclear Research, Geneva, Switzerland Transmutex SA, Geneva, Switzerland Keus, V. GRID:grid.7737.4 GRID:grid.55940.3d ROR:https://ror.org/01x2x1522 ROR:https://ror.org/051sx6d27 Helsinki Inst. of Phys. Dublin Inst. HIP, Helsinki Institute of Physics, University of Helsinki, Helsinki, Finland DIAS, Dublin Institute for Advanced Studies, School of Theoretical Physics, Dublin, Ireland Khanpour, H. GRID:grid.418744.a GRID:grid.9922.0 GRID:grid.510412.3 ROR:https://ror.org/04xreqs31 ROR:https://ror.org/00bas1c41 ROR:https://ror.org/05fp9g671 IPM, Tehran AGH-UST, Cracow Mazandaran U., Babolsar IPM, Institute for Research in Fundamental Science, Tehran, Iran AGH, University of Science and Technology, Kraków, Poland University of Science and Technology of Mazandaran, Behshahr, Iran Khoze, V.V. GRID:grid.8250.f ROR:https://ror.org/01v29qb04 Durham U. IPPP, Institute for Particle Physics Phenomenology, Durham University, Durham, UK Khoze, V.A. GRID:grid.8250.f ROR:https://ror.org/01v29qb04 Durham U. IPPP, Institute for Particle Physics Phenomenology, Durham University, Durham, UK Kicsiny, P. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Kieffer, R. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Kiel, C. GRID:grid.5333.6 ROR:https://ror.org/02s376052 ROR:https://ror.org/02v51f717 Ecole Polytechnique, Lausanne Peking U., Beijing EPFL, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Kieseler, J. GRID:grid.7892.4 ROR:https://ror.org/04t3en479 KIT, Karlsruhe, IKP KIT, Karlsruher Institut für Technologie, Karlsruhe, Germany Kilic, A. GRID:grid.34538.39 ROR:https://ror.org/03tg3eb07 Uludag U. Bursa Uludağ Üniversitesi, Bursa, Türkiye Kilminster, B. GRID:grid.7400.3 ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Kim, S. GRID:grid.15444.30 ROR:https://ror.org/01wjejq96 Yonsei U. YU, Yonsei University, Seoul, Republic of Korea Kırca, Z. GRID:grid.34538.39 ROR:https://ror.org/03tg3eb07 Uludag U. Bursa Uludağ Üniversitesi, Bursa, Türkiye Klein, M. GRID:grid.10025.36 ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Liverpool, UK Klimentov, A. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Klute, M. GRID:grid.7892.4 ROR:https://ror.org/04t3en479 KIT, Karlsruhe, IKP KIT, Karlsruher Institut für Technologie, Karlsruhe, Germany Klyukhin, V. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, Geneva, Switzerland Knecht, M. GRID:grid.457018.f GRID:grid.469407.8 GRID:grid.5399.6 ROR:https://ror.org/052bbtn31 Marseille, CPT CNRS/INP, Centre National de la Recherche Scientifique, Institut de Physique, Paris, France CPT, Centre de Physique Théorique, Marseille, France Aix-Marseille Université et Université du Sud Toulon Var, Marseille, France Kniehl, B. GRID:grid.9026.d ROR:https://ror.org/00g30e956 Hamburg U. Fakultät für Mathematik, Informatik und Naturwissenschaften, Universität Hamburg, Hamburg, Germany Ko, P. GRID:grid.249961.1 ROR:https://ror.org/041hz9568 Korea Inst. Advanced Study, Seoul KIAS, Korea Institute for Advanced Study, Seoul, Republic of Korea Ko, S. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Kocak, F. GRID:grid.34538.39 ROR:https://ror.org/03tg3eb07 Uludag U. Bursa Uludağ Üniversitesi, Bursa, Türkiye Koffas, T. GRID:grid.34428.39 ROR:https://ror.org/02qtvee93 Carleton U. Carleton University, Ottawa, Canada Kokkinos, C. GRID:grid.11047.33 ROR:https://ror.org/017wvtq80 Patras U. FEAC Engineering P.C., Patras, Greece UPATRAS, University of Patras, Patras, Greece Kołodziej, K. GRID:grid.11866.38 ROR:https://ror.org/0104rcc94 Silesia U. University of Silesia in Katowice, Katowice, Poland Kong, K. GRID:grid.266515.3 ROR:https://ror.org/001tmjg57 Kansas U. University of Kansas, Lawrence, KS, USA Kontaxakis, P. GRID:grid.8591.5 ROR:https://ror.org/01swzsf04 U. Geneva (main) UNIGE, Université de Genève, Geneva, Switzerland Koop, I.A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, Geneva, Switzerland Kopciewicz, P. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Koppenburg, P. GRID:grid.420012.5 ROR:https://ror.org/00f9tz983 NIKHEF, Amsterdam NIKHEF, Nationaal instituut voor subatomaire fysica, Amsterdam, The Netherlands Koratzinos, M. GRID:grid.9132.9 GRID:grid.5991.4 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/03eh3y714 CERN PSI, Villigen CERN, European Organization for Nuclear Research, Geneva, Switzerland PSI, Paul Scherrer Institute, Villigen, Switzerland Kordas, K. GRID:grid.4793.9 ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki AUTH, Aristotle University of Thessaloniki, Thessaloniki, Greece Korsun, A. GRID:grid.433124.3 GRID:grid.508754.b GRID:grid.508487.6 ROR:https://ror.org/03gc1p724 IJCLab, Orsay CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IJCLab, Laboratoire de Physique des 2 Infinis Irène Joliot Curie, Orsay, France Université Paris-Saclay et Université Paris-Cité, Paris, France Kortner, O. GRID:grid.435824.c ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE MPP, Max-Planck-Institut für Physik Garching, Garching, Germany Kortner, S. GRID:grid.435824.c ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE MPP, Max-Planck-Institut für Physik Garching, Garching, Germany Korzh, B. GRID:grid.8591.5 ROR:https://ror.org/01swzsf04 U. Geneva (main) UNIGE, Université de Genève, Geneva, Switzerland Koseki, T. GRID:grid.410794.f ROR:https://ror.org/01g5y5k24 KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Kosse, J. GRID:grid.5991.4 ROR:https://ror.org/03eh3y714 PSI, Villigen PSI, Paul Scherrer Institute, Villigen, Switzerland Kostka, P. GRID:grid.9132.9 GRID:grid.10025.36 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/04xs57h96 CERN Liverpool U. CERN, European Organization for Nuclear Research, Geneva, Switzerland University of Liverpool, Liverpool, UK Kostoglou, S. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Kotwal, A.V. GRID:grid.26009.3d ROR:https://ror.org/00py81415 Duke U. Duke University, Durham, NC, USA Kozlov, G. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland CERN, Geneva, Switzerland Kozsar, I. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Kramer, T. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Krkotić, P. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Kroha, H. GRID:grid.435824.c ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE MPP, Max-Planck-Institut für Physik Garching, Garching, Germany Kröninger, K. GRID:grid.5675.1 ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, Dortmund, Germany Kuday, S. GRID:grid.9132.9 GRID:grid.7256.6 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/014weej12 CERN Middle East Tech. U., Ankara CERN, European Organization for Nuclear Research, Geneva, Switzerland Ankara Üniversitesi, Ankara, Türkiye Kuhlmann, G. GRID:grid.469827.6 Ilmenau Tech. U. IML, Fraunhofer-Institut für Materialfluss und Logistik, Dortmund, Germany Kuhlmann, O. GRID:grid.9132.9 GRID:grid.1957.a ROR:https://ror.org/01ggx4157 ROR:https://ror.org/04xfq0f34 CERN RWTH Aachen U. CERN, European Organization for Nuclear Research, Geneva, Switzerland RWTH Aachen, Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Germany Kuhn, M. GRID:grid.19739.35 ROR:https://ror.org/02crff812 Zurich U. ZHAW, Zurich University of Applied Sciences, Winterthur, Switzerland Kulesza, A. GRID:grid.5949.1 ROR:https://ror.org/00pd74e08 Munster U., ITP Universität Münster, Münster, Germany Kumar, M. GRID:grid.11951.3d ROR:https://ror.org/03rp50x72 Witwatersrand U. University of the Witwatersrand, Johannesburg, South Africa Kurian, F. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Kurtulus, A. GRID:grid.9132.9 GRID:grid.5801.c ROR:https://ror.org/01ggx4157 ROR:https://ror.org/05a28rw58 CERN ETH, Zurich (main) CERN, European Organization for Nuclear Research, Geneva, Switzerland ETHZ, Swiss Federal Institute of Technology Zurich, Zurich, Switzerland Kwok, T.H. GRID:grid.7400.3 ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland La Mendola, S. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Lackner, M. GRID:grid.5329.d GRID:grid.434098.2 ROR:https://ror.org/04d836q62 TU Vienna Unlisted, AT U. Graz (main) TUWIEN, Technische Universität Wien, Vienna, Austria Fachhochschule Technikum Wien, Vienna, Austria Ładziński, T. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Lafarge, D. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Laïdouni, P. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Lamanna, G. GRID:grid.433124.3 GRID:grid.450330.1 GRID:grid.5388.6 ROR:https://ror.org/049nhh297 Annecy, LAPP CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LAPP, Laboratoire d’Annecy de Physique des Particules, Annecy, France Université Savoie Mont Blanc, Annecy, France Lamas, N. GRID:grid.4711.3 ROR:https://ror.org/02gfc7t72 CSIC, Madrid ICMAB/CISC, Institut de Ciència de Materials de Barcelona, Consejo Superior de Investigaciones Científicas, Barcelona, Spain Landsberg, G. GRID:grid.40263.33 ROR:https://ror.org/05gq02987 Brown U. Brown University, Providence, RI, USA Lange, C. GRID:grid.5991.4 ROR:https://ror.org/03eh3y714 PSI, Villigen PSI, Paul Scherrer Institute, Villigen, Switzerland Lange, D.J. GRID:grid.16750.35 ROR:https://ror.org/00hx57361 Princeton U. Princeton University, Princeton, NJ, USA Langner, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Lankford, A.J. GRID:grid.266093.8 ROR:https://ror.org/04gyf1771 UC, Irvine University of California Irvine, Irvine, CA, USA Lari, L. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Larson, M.S. GRID:grid.261112.7 ROR:https://ror.org/04t5xt781 Northeastern U. Northeastern University, Boston, MA, USA Lasocha, K. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Latina, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Lauciani, S. GRID:grid.463190.9 ROR:https://ror.org/049jf1a25 Frascati INFN, Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati, Frascati, Italy Laufenberg, M. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Lavezzari, G. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Lavezzi, L. GRID:grid.6045.7 ROR:https://ror.org/01vj6ck58 INFN, Turin INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Torino, Turin, Italy Lavezzo, L. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Le Garrec, M. GRID:grid.9132.9 GRID:grid.433124.3 GRID:grid.450330.1 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/049nhh297 CERN Annecy, LAPP CERN, European Organization for Nuclear Research, Geneva, Switzerland CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LAPP, Laboratoire d’Annecy de Physique des Particules, Annecy, France Le Jeune, A. Unlisted, FR SETEC ALS, Société d’ingénierie conseil en infrastructures de transport, génie civil et environnement, Lyon, France Lebrun, P. GRID:grid.9132.9 GRID:grid.421171.0 ROR:https://ror.org/01ggx4157 CERN ESI, Archamps CERN, European Organization for Nuclear Research, Geneva, Switzerland ESI, European Scientific Institute, Archamps, France Léchevin, Y. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Lechner, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Lecointe, E. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Lee, J.S.H. GRID:grid.267134.5 ROR:https://ror.org/04h9pn542 Seoul Natl. U. UOS, University of Seoul, Seoul, Republic of Korea Lee, S.W. GRID:grid.258803.4 ROR:https://ror.org/040c17130 Kyungpook Natl. U. KNU Kyungpook National University, Daegu, Republic of Korea Lee, S.J. GRID:grid.249961.1 GRID:grid.222754.4 ROR:https://ror.org/041hz9568 ROR:https://ror.org/047dqcg40 Korea Inst. Advanced Study, Seoul Korea U. KIAS, Korea Institute for Advanced Study, Seoul, Republic of Korea KU, Korea University, Seoul, Republic of Korea Lefevre, T. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Leggett, C. GRID:grid.184769.5 ROR:https://ror.org/02jbv0t02 LBNL, Berkeley LBNL, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Lehtinen, T. GRID:grid.502801.e Tampere U. of Tech. Tampere University, Tampere, Finland Leone, S. GRID:grid.6045.7 ROR:https://ror.org/05symbg58 INFN, Pisa INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, Pisa, Italy Leonidopoulos, C. GRID:grid.4305.2 ROR:https://ror.org/01nrxwf90 Edinburgh U. University of Edinburgh, Edinburgh, UK Leontsinis, S. GRID:grid.7400.3 ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Leprince-Maillère, G. GRID:grid.483055.f ROR:https://ror.org/02s376052 Ecole Polytechnique, Lausanne BG Ingénieurs Conseils, Lausanne, Switzerland Lerner, G. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Leroy, O. GRID:grid.433124.3 GRID:grid.470046.1 GRID:grid.5399.6 ROR:https://ror.org/00fw8bp86 Marseille, CPPM CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France CPPM, Centre de Physique des Particules de Marseille, Marseille, France Aix-Marseille Université, Marseille, France Lesiak, T. GRID:grid.413454.3 ROR:https://ror.org/01n78t774 Cracow, INP IFJ PAN, Institute of Nuclear Physics, Polish Academy of Sciences, Kraków, Poland Levai, P. GRID:grid.419766.b ROR:https://ror.org/035dsb084 Wigner RCP, Budapest HUN-REN Wigner Research Centre for Physics, Budapest, Hungary Leveratto, A. GRID:grid.5326.2 CNR, INO, Pisa CNR-SPIN, Consiglio Nazionale delle Ricerche, Genoa, Italy Levi, R. Unlisted, FR CIA, Conseil Ingénierie Acoustique, Lyon, France Li, A. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Li, S. GRID:grid.16821.3c ROR:https://ror.org/0220qvk04 ROR:https://ror.org/0220qvk04 Shanghai Jiaotong U. Shanghai Jiao Tong U. T.-D. Lee Institute, Shanghai, People’s Republic of China Shanghai Jiao Tong University, Shanghai, People’s Republic of China Liberati, D. GRID:grid.5326.2 CNR, INO, Pisa CNR, Consiglio Nazionale delle Ricerche, Rome, Italy Lichtenstein, G.L. GRID:grid.411233.6 ROR:https://ror.org/04wn09761 IIP, Brazil UFRN, Universidade Federal do Rio Grande do Norte, Natal, Brazil Liepe, M. GRID:grid.5386.8 ROR:https://ror.org/05bnh6r87 Cornell U. Cornell University, Ithaca, NY, USA Ligeti, Z. GRID:grid.184769.5 ROR:https://ror.org/02jbv0t02 LBNL, Berkeley LBNL, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Lin, H. GRID:grid.214458.e ROR:https://ror.org/00jmfr291 Michigan U. University of Michigan, Ann Arbor, MI, USA Linda, S. CERN ADAM, Geneva WSP Ingénieurs Conseils SA, Geneva, Switzerland Lipeles, E. GRID:grid.25879.31 ROR:https://ror.org/00b30xv10 Pennsylvania U. University of Pennsylvania, Philadelphia, PA, USA Liu, Z. GRID:grid.17635.36 ROR:https://ror.org/017zqws13 Minnesota U. University of Minnesota, Minneapolis, MN, USA Liuzzo, S.M. GRID:grid.5398.7 ROR:https://ror.org/02550n020 ESRF, Grenoble ESRF, European Synchrotron Radiation Facility, Grenoble, France Loeliger, T. GRID:grid.19739.35 ROR:https://ror.org/02crff812 Zurich U. ZHAW, Zurich University of Applied Sciences, Winterthur, Switzerland Centeno, A. Loeschcke GRID:grid.12082.39 ROR:https://ror.org/00ayhx656 Sussex U. SUSSEX, University of Sussex, Brighton, UK Lorenzetti, A. GRID:grid.7400.3 ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Lorin, C. GRID:grid.457342.3 ROR:https://ror.org/05k705z76 IRFU, Saclay CEA/Irfu, Commissariat à l’Energie Atomique et aux Energies Alternatives, Institut de recherche sur les lois fondamentales de l’Univers, Saclay, France Losito, R. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Louka, M. GRID:grid.6045.7 GRID:grid.7644.1 ROR:https://ror.org/022hq6c49 INFN, Bari INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy Università di Bari Aldo Moro, Bari, Italy García, M.L. Loureiro GRID:grid.11794.3a ROR:https://ror.org/030eybx10 Santiago de Compostela U. Universidade de Santiago de Compostela, Santiago de Compostela, Spain Low, I. GRID:grid.16753.36 GRID:grid.187073.a ROR:https://ror.org/000e0be47 ROR:https://ror.org/05gvnxz63 Northwestern U. Argonne Northwestern University, Evanston, IL, USA ANL, Argonne National Laboratory, Lemont, IL, USA Lubonis, K. Unlisted, FR CIA, Conseil Ingénierie Acoustique, Lyon, France Lucchini, M.T. GRID:grid.6045.7 GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano-Bicocca, Milan, Italy Università di Milano-Bicocca, Milan, Italy Lukashenko, V. GRID:grid.7400.3 ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Luminati, G. GRID:grid.463190.9 ROR:https://ror.org/049jf1a25 Frascati INFN, Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati, Frascati, Italy Lunt, A.J.G. GRID:grid.9132.9 GRID:grid.7340.0 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/002h8g185 CERN Bath U. CERN, European Organization for Nuclear Research, Geneva, Switzerland University of Bath, Bath, UK Lusiani, A. GRID:grid.6045.7 GRID:grid.6093.c ROR:https://ror.org/05symbg58 ROR:https://ror.org/03aydme10 INFN, Pisa Pisa, Scuola Normale Superiore INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, Pisa, Italy Scuola Normale Superiore di Pisa, Pisa, Italy Luzum, M. GRID:grid.11899.38 ROR:https://ror.org/036rp1748 Sao Paulo U. Universidade de São Paulo, São Paulo, Brazil Ma, H. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Maas, A. GRID:grid.5110.5 ROR:https://ror.org/01faaaf77 Graz U. Universität Graz, Graz, Austria Macchia, E. GRID:grid.9132.9 GRID:grid.7841.a GRID:grid.6045.7 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/02be6w209 ROR:https://ror.org/05eva6s33 CERN U. Rome La Sapienza (main) INFN, Rome CERN, European Organization for Nuclear Research, Geneva, Switzerland Università di Roma la Sapienza, Rome, Italy INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Roma, Rome, Italy Macchiolo, A. GRID:grid.7400.3 ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Machinet, G.E. BIPM, Sevres Microhumus, Bureau d’étude et d’ingénierie spécialisé dans la gestion des sols dégradés, Nancy, France Madar, R. GRID:grid.433124.3 GRID:grid.470921.9 GRID:grid.494717.8 ROR:https://ror.org/0214k6v65 LPC, Clermont-Ferrand CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LPCA, Laboratoire de Physique de Clermont Auvergne, Clermont-Ferrand, France Université Clermont Auvergne, Clermont-Ferrand, France Madlener, T. GRID:grid.7683.a ROR:https://ror.org/01js2sh04 DESY DESY, Deutsches Elektronen-Synchrotron, Hamburg, Germany Madrid, C. GRID:grid.264784.b ROR:https://ror.org/0405mnx93 Texas Tech. Texas Tech University, Lubbock, TX, USA Magalotti, A. GRID:grid.8509.4 ROR:https://ror.org/05vf0dg29 Rome III U. Università Roma Tre, Rome, Italy Maggiora, M. GRID:grid.6045.7 GRID:grid.7605.4 ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Torino, Turin, Italy Università di Torino, Turin, Italy Magnan, A.-M. GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College London, London, UK Mahmoud, M.A. GRID:grid.411170.2 ROR:https://ror.org/023gzwx10 Fayoum U. Center for High Energy Physics, Fayoum University, Fayoum, Egypt Mahmoud, Y. GRID:grid.440862.c GRID:grid.7776.1 ROR:https://ror.org/03q21mh05 British U. in Egypt Cairo U. Center of Theoretical Physics, British University in Egypt, Cairo, Egypt Cairo University, Cairo, Egypt Mahmoudi, F. GRID:grid.9132.9 GRID:grid.433124.3 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/02avf8f85 CERN IP2I, Lyon CERN, European Organization for Nuclear Research, Geneva, Switzerland CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IP2I, Institut de Physique des 2 Infinis de Lyon, Lyon, France Durand, H. Mainaud GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Maitre, J. GRID:grid.432932.d Unlisted, FR Cerema, établissement public pour l’élaboration, le déploiement et l’évaluation de politiques publiques d’aménagement et de transport, Lyon, France Makhloufi, Y. GRID:grid.8591.5 ROR:https://ror.org/01swzsf04 U. Geneva (main) UNIGE, Université de Genève, Geneva, Switzerland Malaescu, B. GRID:grid.433124.3 GRID:grid.463935.e GRID:grid.508487.6 Paris U., VI-VII CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LPNHE, Laboratoire de Physique Nucléaire et de Hautes Énergies, Paris, France Sorbonne Université et Université Paris Cité, Paris, France Malagoli, A. GRID:grid.5326.2 CNR, INO, Pisa CNR-SPIN, Consiglio Nazionale delle Ricerche, Genoa, Italy Malan, C.H. GRID:grid.432932.d Unlisted, FR Cerema, établissement public pour l’élaboration, le déploiement et l’évaluation de politiques publiques d’aménagement et de transport, Lyon, France Malekhosseini, M. GRID:grid.46072.37 ROR:https://ror.org/05vf56z40 Tehran U. University of Tehran, Tehran, Iran Maloizel, A. GRID:grid.9132.9 GRID:grid.462017.6 GRID:grid.508487.6 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/03tnjrr49 CERN APC, Paris CERN, European Organization for Nuclear Research, Geneva, Switzerland APC, Laboratoire AstroParticule et Cosmologie, Paris, France Université Paris Cité, Paris, France Malvezzi, S. GRID:grid.6045.7 ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano-Bicocca, Milan, Italy Malzac, A. Unlisted, FR MARCELEON, Cabinet d’ingénierie juridique et foncière, Chambéry, France Manco, G. GRID:grid.6045.7 ROR:https://ror.org/01st30669 INFN, Pavia Brescia U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Pavia, Italy Mandacarú Guerra, L.S. GRID:grid.16750.35 ROR:https://ror.org/00hx57361 Princeton U. Princeton University, Princeton, NJ, USA Manfrinetti, P. GRID:grid.5326.2 GRID:grid.5606.5 ROR:https://ror.org/0107c5v14 ROR:https://ror.org/02v89pq06 ROR:https://ror.org/02jbv0t02 CNR, INO, Pisa Genoa U. INFN, Genoa LBL, Berkeley CNR-SPIN, Consiglio Nazionale delle Ricerche, Genoa, Italy Università di Genova, Genoa, Italy Manoni, E. GRID:grid.6045.7 ROR:https://ror.org/05478fx36 INFN, Perugia INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Perugia, Italy Mans, J. GRID:grid.17635.36 ROR:https://ror.org/017zqws13 Minnesota U. University of Minnesota, Minneapolis, MN, USA Mantani, L. GRID:grid.470047.0 ROR:https://ror.org/017xch102 Valencia U., IFIC IFIC-CSIC/UV, Instituto de Física Corpuscular, Consejo Superior de Investigaciones Científicas/Universidad de Valencia, Valencia, Spain Manzoni, S. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Marafatto, L. GRID:grid.470223.0 ROR:https://ror.org/04m8t3f14 INFN, Udine INFN, Istituto Nazionale di Fisica Nucleare, Gruppo Collegato di Udine, Udine, Italy Marcel, C. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Marcel, T. TCS, Madhapur Rendel Ltd, Engineering design consultancy firm, London, UK Marchevski, R. GRID:grid.5333.6 ROR:https://ror.org/02s376052 ROR:https://ror.org/02v51f717 Ecole Polytechnique, Lausanne Peking U., Beijing EPFL, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Marchiori, G. GRID:grid.433124.3 GRID:grid.462017.6 GRID:grid.508487.6 ROR:https://ror.org/03tnjrr49 APC, Paris CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France APC, Laboratoire AstroParticule et Cosmologie, Paris, France Université Paris Cité, Paris, France Mariani, F. GRID:grid.6045.7 GRID:grid.7841.a ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/02be6w209 INFN, Milan U. Rome La Sapienza (main) INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Università di Roma la Sapienza, Rome, Italy Mariani, V. GRID:grid.6045.7 GRID:grid.9027.c ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Perugia, Italy Università di Perugia, Perugia, Italy Marin, S. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Marinas, C. GRID:grid.470047.0 ROR:https://ror.org/017xch102 Valencia U., IFIC IFIC-CSIC/UV, Instituto de Física Corpuscular, Consejo Superior de Investigaciones Científicas/Universidad de Valencia, Valencia, Spain Marinozzi, V. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Mariotto, S. GRID:grid.6045.7 GRID:grid.4708.b ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/01ynf4891 ROR:https://ror.org/03xejxm22 INFN, Milan Milan Bicocca U. INFN, Milan Bicocca INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Università di Milano, Milan, Italy Marquis, C. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Martelain, J. Geneva U. Service de géologie, sols et déchets du canton de Genève, Geneva, Switzerland Martelli, G. GRID:grid.6045.7 GRID:grid.9027.c ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Perugia, Italy Università di Perugia, Perugia, Italy Martens, A. GRID:grid.433124.3 GRID:grid.508754.b GRID:grid.508487.6 ROR:https://ror.org/03gc1p724 IJCLab, Orsay CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IJCLab, Laboratoire de Physique des 2 Infinis Irène Joliot Curie, Orsay, France Université Paris-Saclay et Université Paris-Cité, Paris, France Martin-Melero, I. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Outschoorn, V.I. Martinez GRID:grid.266683.f ROR:https://ror.org/0072zz521 Massachusetts U., Amherst University of Massachusetts Amherst, Amherst, MA, USA Martinez, F. GRID:grid.411659.e ROR:https://ror.org/03p2z7827 Puebla U., Inst. Fis. BUAP, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico Jardim, C.M. GRID:grid.420019.e ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Madrid, Escuela Tec. Sup. Ing. Ind. CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid, Spain Marzola, L. GRID:grid.177284.f GRID:grid.10939.32 ROR:https://ror.org/03eqd4a41 ROR:https://ror.org/03z77qz90 NICPB, Tallinn Tartu, Inst. Phys. NICPB, National Institute for Chemical Physics and Biophysics, Tallinn, Estonia UT, University of Tartu, Tartu, Estonia Masciocchi, S. GRID:grid.159791.2 GRID:grid.7700.0 ROR:https://ror.org/02k8cbn47 ROR:https://ror.org/00fbnyb24 Darmstadt, GSI Wurzburg U. GSI, Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany Fakultät für Physik und Astronomie, Universität Heidelberg, Heidelberg, Germany Mashal, A. GRID:grid.418744.a ROR:https://ror.org/04xreqs31 IPM, Tehran IPM, Institute for Research in Fundamental Science, Tehran, Iran Masi, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Masina, I. GRID:grid.6045.7 GRID:grid.8484.0 ROR:https://ror.org/00zs3y046 ROR:https://ror.org/041zkgm14 INFN, Ferrara Ferrara U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Ferrara, Ferrara, Italy Università di Ferrara, Ferrara, Italy Mastrapasqua, P. GRID:grid.7942.8 ROR:https://ror.org/02495e989 Louvain U., CP3 CP3, Centre de Cosmologie, de Physique des Particules et de Phénoménologie, Université Catholique de Louvain, Louvain-la-Neuve, Belgium Mateu, V. GRID:grid.11762.33 ROR:https://ror.org/02f40zc51 Salamanca U. Universidad de Salamanca, Salamanca, Spain Mattiazzo, S. GRID:grid.6045.7 GRID:grid.5608.b ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Padua, Italy Università di Padova, Padua, Italy Maugis, M. Unlisted, FR SETEC ALS, Société d’ingénierie conseil en infrastructures de transport, génie civil et environnement, Lyon, France Maura, V. GRID:grid.13097.3c ROR:https://ror.org/0220mzb33 King's Coll. London King’s College London, London, UK Mauree, D. CERN ADAM, Geneva WSP Ingénieurs Conseils SA, Geneva, Switzerland Maury-Cuna, G.H.I. GRID:grid.412891.7 ROR:https://ror.org/058cjye32 Guanajuato U. UGTO, Universidad de Guanajuato, Guanajuato, Mexico Mayoux, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Mazzeo, E. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Mazzoni, S. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland McCullough, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Meena, M. GRID:grid.433124.3 GRID:grid.462076.1 GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IPHC, Institut Pluridisciplinaire Hubert Curien, Strasbourg, France Université de Strasbourg, Strasbourg, France Meftah, E. GRID:grid.8591.5 ROR:https://ror.org/01swzsf04 U. Geneva (main) UNIGE, Université de Genève, Geneva, Switzerland Mehta, Andrew GRID:grid.10025.36 ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Liverpool, UK Mehta, Ankita GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Mele, B. GRID:grid.6045.7 ROR:https://ror.org/05eva6s33 INFN, Rome INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Roma, Rome, Italy Mena-Andrade, R. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Mentink, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Mergelkuhl, D. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Mertinger, V. GRID:grid.10334.35 Miskolc U. University of Miskolc, Miskolc, Hungary Mether, L. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Meylan, S. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Michel, T. Unlisted, FR SETEC ALS, Société d’ingénierie conseil en infrastructures de transport, génie civil et environnement, Lyon, France Michlmayr, T. GRID:grid.5991.4 ROR:https://ror.org/03eh3y714 PSI, Villigen PSI, Paul Scherrer Institute, Villigen, Switzerland Migliorati, M. GRID:grid.7841.a GRID:grid.6045.7 ROR:https://ror.org/02be6w209 ROR:https://ror.org/05eva6s33 U. Rome La Sapienza (main) INFN, Rome Università di Roma la Sapienza, Rome, Italy INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Roma, Rome, Italy Milanese, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Milardi, C. GRID:grid.463190.9 ROR:https://ror.org/049jf1a25 Frascati INFN, Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati, Frascati, Italy Milhano, G. GRID:grid.420929.4 ROR:https://ror.org/01hys1667 LIP, Lisbon LIP, Laboratório de Instrumentação e Física Experimental de Partículas, Lisbon, Portugal Minty, M. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Mirabelli, C. CERN Edaphos Engineering, Geneva, Switzerland Miralles, T. GRID:grid.433124.3 GRID:grid.470921.9 GRID:grid.494717.8 ROR:https://ror.org/0214k6v65 LPC, Clermont-Ferrand CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LPCA, Laboratoire de Physique de Clermont Auvergne, Clermont-Ferrand, France Université Clermont Auvergne, Clermont-Ferrand, France Verge, L. Miralles GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Mirarchi, D. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Mirbaghestan, K. GRID:grid.7400.3 ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Mirian, N. GRID:grid.7683.a GRID:grid.40602.30 ROR:https://ror.org/01js2sh04 ROR:https://ror.org/01zy2cs03 DESY HZDR, Dresden DESY, Deutsches Elektronen-Synchrotron, Hamburg, Germany Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany Mitsou, V.A. GRID:grid.470047.0 ROR:https://ror.org/017xch102 Valencia U., IFIC IFIC-CSIC/UV, Instituto de Física Corpuscular, Consejo Superior de Investigaciones Científicas/Universidad de Valencia, Valencia, Spain Mitzel, D.S. GRID:grid.5675.1 ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, Dortmund, Germany Mlynarikova, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Möbius, S. GRID:grid.5734.5 ROR:https://ror.org/02k7v4d05 Bern U. UNIBE, University of Bern, Bern, Switzerland Mohammadi Najafabadi, M. GRID:grid.9132.9 GRID:grid.418744.a ROR:https://ror.org/01ggx4157 ROR:https://ror.org/04xreqs31 CERN IPM, Tehran CERN, European Organization for Nuclear Research, Geneva, Switzerland IPM, Institute for Research in Fundamental Science, Tehran, Iran Mohanty, G.B. GRID:grid.22401.35 ROR:https://ror.org/03ht1xw27 Tata Inst. Tata Institute of Fundamental Research Mumbai, Mumbai, India Mohapatra, R.N. GRID:grid.164295.d ROR:https://ror.org/047s2c258 Maryland U. University of Maryland, College Park, MD, USA Moneta, S. GRID:grid.6045.7 ROR:https://ror.org/05478fx36 INFN, Perugia INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Perugia, Italy Monni, P.F. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Monnier, E. GRID:grid.433124.3 GRID:grid.470046.1 GRID:grid.5399.6 ROR:https://ror.org/00fw8bp86 Marseille, CPPM CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France CPPM, Centre de Physique des Particules de Marseille, Marseille, France Aix-Marseille Université, Marseille, France Monteil, S. GRID:grid.433124.3 GRID:grid.470921.9 GRID:grid.494717.8 ROR:https://ror.org/0214k6v65 LPC, Clermont-Ferrand CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LPCA, Laboratoire de Physique de Clermont Auvergne, Clermont-Ferrand, France Université Clermont Auvergne, Clermont-Ferrand, France León Monzón, I. GRID:grid.412863.a Sinaloa U. UAS, Universidad Autónoma de Sinaloa, Culiacán, Mexico Moortgat, F. GRID:grid.9132.9 GRID:grid.5342.0 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/00cv9y106 CERN Gent U. CERN, European Organization for Nuclear Research, Geneva, Switzerland Universiteit Gent, Ghent, Belgium Morange, N. GRID:grid.433124.3 GRID:grid.508754.b GRID:grid.508487.6 ROR:https://ror.org/03gc1p724 IJCLab, Orsay CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IJCLab, Laboratoire de Physique des 2 Infinis Irène Joliot Curie, Orsay, France Université Paris-Saclay et Université Paris-Cité, Paris, France Moretti, M. GRID:grid.6045.7 GRID:grid.8484.0 ROR:https://ror.org/00zs3y046 ROR:https://ror.org/041zkgm14 INFN, Ferrara Ferrara U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Ferrara, Ferrara, Italy Università di Ferrara, Ferrara, Italy Moretti, S. GRID:grid.14467.30 ROR:https://ror.org/0089bg420 Daresbury RAL, Rutherford Appleton Laboratory, Science and Technology Facilities Council, Didcot, UK Mori, T. GRID:grid.9132.9 GRID:grid.410794.f ROR:https://ror.org/01ggx4157 ROR:https://ror.org/01g5y5k24 CERN KEK, Tsukuba CERN, European Organization for Nuclear Research, Geneva, Switzerland KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Morozov, I. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, Geneva, Switzerland Morozzi, A. GRID:grid.6045.7 ROR:https://ror.org/05478fx36 INFN, Perugia INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Perugia, Italy Morrone, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Moscariello, A. GRID:grid.8591.5 ROR:https://ror.org/01swzsf04 U. Geneva (main) UNIGE, Université de Genève, Geneva, Switzerland Moscatelli, F. GRID:grid.6045.7 GRID:grid.5326.2 ROR:https://ror.org/05478fx36 INFN, Perugia CNR, INO, Pisa INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Perugia, Italy CNR-IOM, Consiglio Nazionale delle Ricerche, Trieste, Italy Moulin, I. Unlisted, FR SETEC LERM, Société d’ingénierie conseil en matériaux de construction, Lyon, France Mounet, N. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Mueller, A. GRID:grid.9970.7 Linz U., RISC JKU, Johannes Kepler Universität Linz, Linz, Austria Müller, A.-S. GRID:grid.7892.4 ROR:https://ror.org/04t3en479 KIT, Karlsruhe, IKP KIT, Karlsruher Institut für Technologie, Karlsruhe, Germany Müller, B.O. GRID:grid.469827.6 Ilmenau Tech. U. IML, Fraunhofer-Institut für Materialfluss und Logistik, Dortmund, Germany Mundet, J. GRID:grid.435462.2 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE IFAE, Institut de Física d’Altes Energies, Barcelona, Spain Musa, E. GRID:grid.9132.9 GRID:grid.7683.a ROR:https://ror.org/01ggx4157 ROR:https://ror.org/01js2sh04 CERN DESY CERN, European Organization for Nuclear Research, Geneva, Switzerland DESY, Deutsches Elektronen-Synchrotron, Hamburg, Germany Musat, V. GRID:grid.9132.9 GRID:grid.4991.5 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/052gg0110 CERN Oxford U. CERN, European Organization for Nuclear Research, Geneva, Switzerland University of Oxford, Oxford, UK Musenich, R. GRID:grid.6045.7 ROR:https://ror.org/02v89pq06 INFN, Genoa INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Genova, Genoa, Italy Musumeci, E. GRID:grid.470047.0 ROR:https://ror.org/017xch102 Valencia U., IFIC IFIC-CSIC/UV, Instituto de Física Corpuscular, Consejo Superior de Investigaciones Científicas/Universidad de Valencia, Valencia, Spain Mylona, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Mytrochenko, V.V. GRID:grid.433124.3 GRID:grid.508754.b GRID:grid.425540.2 ROR:https://ror.org/03gc1p724 ROR:https://ror.org/00183pc12 IJCLab, Orsay Kharkov, KIPT CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IJCLab, Laboratoire de Physique des 2 Infinis Irène Joliot Curie, Orsay, France NSC KIPT, National Science Center Kharkiv Institute of Physics and Technology, Kharkiv, Ukraine Nachman, B. GRID:grid.184769.5 ROR:https://ror.org/02jbv0t02 LBNL, Berkeley LBNL, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Nagaitsev, S. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Nakamoto, T. GRID:grid.410794.f ROR:https://ror.org/01g5y5k24 KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Napsuciale, M. GRID:grid.412891.7 ROR:https://ror.org/058cjye32 Guanajuato U. UGTO, Universidad de Guanajuato, Guanajuato, Mexico Nardecchia, M. GRID:grid.7841.a GRID:grid.6045.7 ROR:https://ror.org/02be6w209 ROR:https://ror.org/05eva6s33 U. Rome La Sapienza (main) INFN, Rome Università di Roma la Sapienza, Rome, Italy INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Roma, Rome, Italy Nardini, G. GRID:grid.18883.3a ROR:https://ror.org/02qte9q33 Stavanger U. University of Stavanger, Stavanger, Norway Narváez-Arango, G. GRID:grid.10689.36 ROR:https://ror.org/059yx9a68 Colombia, U. Natl. Universidad Nacional de Colombia, Bogotá, Colombia Naseem, S. GRID:grid.440573.1 ROR:https://ror.org/00e5k0821 New York U., Abu Dhabi New York University Abu Dhabi, Abu Dhabi, United Arab Emirates Natochii, A. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Cornago, A. Navascues GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Naydenov, B. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Nergiz, G. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Nesterenko, A.V. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, Geneva, Switzerland Neubüser, C. GRID:grid.470224.7 ROR:https://ror.org/00nhs3j29 TIFPA-INFN, Trento Trento U. Trento Institute for Fundamental Physics and Applications, Trento, Italy Newman, H.B. GRID:grid.20861.3d ROR:https://ror.org/05dxps055 Caltech Caltech, California Institute of Technology, Pasadena, CA, USA Niccoli, F. GRID:grid.9132.9 GRID:grid.7778.f ROR:https://ror.org/01ggx4157 ROR:https://ror.org/02rc97e94 CERN Calabria U. INFN, Cosenza CERN, European Organization for Nuclear Research, Geneva, Switzerland Università della Calabria, Rende, Italy Nicrosini, O. GRID:grid.6045.7 ROR:https://ror.org/01st30669 INFN, Pavia Brescia U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Pavia, Italy Niedermayer, U. GRID:grid.6546.1 ROR:https://ror.org/05n911h24 Darmstadt, Tech. U. Technische Universität Darmstadt, Darmstadt, Germany Niehues, G. GRID:grid.7892.4 ROR:https://ror.org/04t3en479 KIT, Karlsruhe, IKP KIT, Karlsruher Institut für Technologie, Karlsruhe, Germany Nielsen, J. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Nigrelli, G. GRID:grid.9132.9 GRID:grid.7841.a GRID:grid.6045.7 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/02be6w209 ROR:https://ror.org/05eva6s33 CERN U. Rome La Sapienza (main) INFN, Rome CERN, European Organization for Nuclear Research, Geneva, Switzerland Università di Roma la Sapienza, Rome, Italy INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Roma, Rome, Italy Nikitin, S. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, Geneva, Switzerland Nikolaev, I.B. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, Geneva, Switzerland Nisati, A. GRID:grid.6045.7 ROR:https://ror.org/05eva6s33 INFN, Rome INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Roma, Rome, Italy Nitika, N. GRID:grid.470223.0 GRID:grid.5390.f ROR:https://ror.org/04m8t3f14 INFN, Udine Udine U. INFN, Istituto Nazionale di Fisica Nucleare, Gruppo Collegato di Udine, Udine, Italy Università di Udine, Udine, Italy No, J.M. GRID:grid.5515.4 ROR:https://ror.org/01cby8j38 ROR:https://ror.org/01cby8j38 Madrid, Autonoma U. Madrid, IFT IFT, Instituto de Física Teórica, Universidad Autónoma de Madrid, Madrid, Spain Nonis, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Nosochkov, Y. GRID:grid.445003.6 ROR:https://ror.org/05gzmn429 SLAC SLAC National Accelerator Laboratory, Menlo Park, CA, USA Novokhatski, A. GRID:grid.9132.9 GRID:grid.445003.6 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/05gzmn429 CERN SLAC CERN, European Organization for Nuclear Research, Geneva, Switzerland SLAC National Accelerator Laboratory, Menlo Park, CA, USA O'Callaghan, J.M. GRID:grid.6835.8 ROR:https://ror.org/03mb6wj31 Barcelona, Polytechnic U. UPC, Universitat Politècnica de Catalunya, Barcelona, Spain Ochoa-Oregon, S.A. GRID:grid.412863.a Sinaloa U. UAS, Universidad Autónoma de Sinaloa, Culiacán, Mexico Ohmi, K. GRID:grid.9227.e GRID:grid.410794.f ROR:https://ror.org/05qbk4x57 ROR:https://ror.org/01g5y5k24 Beijing, GUCAS KEK, Tsukuba IHEP, Chinese Academy of Sciences, Beijing, People’s Republic of China KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Oide, K. GRID:grid.9132.9 GRID:grid.8591.5 GRID:grid.410794.f ROR:https://ror.org/01ggx4157 ROR:https://ror.org/01swzsf04 ROR:https://ror.org/01g5y5k24 CERN U. Geneva (main) KEK, Tsukuba CERN, European Organization for Nuclear Research, Geneva, Switzerland UNIGE, Université de Genève, Geneva, Switzerland KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Okorokov, V.A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, Geneva, Switzerland Oleari, C. GRID:grid.6045.7 GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano-Bicocca, Milan, Italy Università di Milano-Bicocca, Milan, Italy Oliveira Damazio, D. GRID:grid.9132.9 GRID:grid.202665.5 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/02ex6cf31 CERN Brookhaven CERN, European Organization for Nuclear Research, Geneva, Switzerland BNL, Brookhaven National Laboratory, Upton, NY, USA Onel, Y. GRID:grid.214572.7 ROR:https://ror.org/036jqmy94 Iowa U. University of Iowa, Iowa City, IA, USA Onofre, A. GRID:grid.10328.38 ROR:https://ror.org/043pwc612 LIP, Minho Porto U. Minho U. Departamento de Física, Universidade do Minho, Braga, Portugal Centro de Física das Universidades do Minho e do Porto, Porto, Portugal LaPMET, Laboratory of Physics for Materials and Emergent Technologies, Porto, Portugal Osland, P. GRID:grid.7914.b ROR:https://ror.org/03zga2b32 Bergen U. University of Bergen, Bergen, Norway Oviedo-Torres, Y.M. GRID:grid.412848.3 GRID:grid.411233.6 ROR:https://ror.org/012a91z28 ROR:https://ror.org/01qq57711 ROR:https://ror.org/04wn09761 Zaragoza U. Andres Bello Natl. U. IIP, Brazil Instituto Milenio de Física Subatómica en la Frontera de Altas Energías, SAPHIR, Santiago, Chile Universidad Andres Bello, Santiago, Chile IIP, International Institute of Physics, Natal, Brazil Ozansoy, A. GRID:grid.7256.6 ROR:https://ror.org/014weej12 Middle East Tech. U., Ankara Ankara Üniversitesi, Ankara, Türkiye Ozaydin, F. GRID:grid.58192.37 GRID:grid.444666.2 ROR:https://ror.org/057zh3y96 Mimar Sinan U. Tokyo U., ICEPP Işık Üniversitesi, Istanbul, Türkiye Tokyo International University, Tokyo, Japan Ozdemir, K. Izmir U. Economics, Izmir Izmir Bakırçay Üniversitesi, Izmir, Türkiye Ozturk, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland de León, M.A. Pérez GRID:grid.412863.a Sinaloa U. UAS, Universidad Autónoma de Sinaloa, Culiacán, Mexico Pacetti, S. GRID:grid.6045.7 GRID:grid.9027.c ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Perugia, Italy Università di Perugia, Perugia, Italy Pacey, H. GRID:grid.4991.5 ROR:https://ror.org/052gg0110 Oxford U. University of Oxford, Oxford, UK Paciello, J. GRID:grid.432932.d Unlisted, FR Cerema, établissement public pour l’élaboration, le déploiement et l’évaluation de politiques publiques d’aménagement et de transport, Lyon, France Pagliarone, C.E. GRID:grid.466877.c GRID:grid.21003.30 ROR:https://ror.org/02s8k0k61 ROR:https://ror.org/05symbg58 Gran Sasso Cassino U. INFN, Pisa INFN, Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali del Gran Sasso, Assergi, Italy Universitá degli Studi di Cassino e del Lazio Meridionale, Cassino, Italy Paillex, A. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland da Silva, H.F. Pais GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Palla, F. GRID:grid.6045.7 ROR:https://ror.org/05symbg58 INFN, Pisa INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, Pisa, Italy Pampaloni, A. GRID:grid.6045.7 ROR:https://ror.org/02v89pq06 INFN, Genoa INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Genova, Genoa, Italy Pancotti, C. Moscow, ITEP CSIL (Economic Research Institute), Milan, Italy Pandurović, M. Belgrade U. Vinc̆a Institute of Nuclear Sciences, Belgrade, Serbia Panella, O. GRID:grid.6045.7 ROR:https://ror.org/05478fx36 INFN, Perugia INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Perugia, Italy Panizzo, G. GRID:grid.470223.0 GRID:grid.5390.f ROR:https://ror.org/04m8t3f14 INFN, Udine Udine U. INFN, Istituto Nazionale di Fisica Nucleare, Gruppo Collegato di Udine, Udine, Italy Università di Udine, Udine, Italy Pantouvakis, C. GRID:grid.6045.7 GRID:grid.5608.b ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Padua, Italy Università di Padova, Padua, Italy Panwar, L. GRID:grid.433124.3 GRID:grid.463935.e GRID:grid.508487.6 Paris U., VI-VII CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LPNHE, Laboratoire de Physique Nucléaire et de Hautes Énergies, Paris, France Sorbonne Université et Université Paris Cité, Paris, France Paolucci, P. GRID:grid.6045.7 ROR:https://ror.org/015kcdd40 INFN, Naples INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy Papa, Y. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Papaefstathiou, A. GRID:grid.258509.3 ROR:https://ror.org/00jeqjx33 Kennesaw State U. Kennesaw State University, Kennesaw, GA, USA Papaphilippou, Y. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Paramonov, A. GRID:grid.187073.a ROR:https://ror.org/05gvnxz63 Argonne ANL, Argonne National Laboratory, Lemont, IL, USA Pareti, A. GRID:grid.6045.7 GRID:grid.8982.b ROR:https://ror.org/01st30669 ROR:https://ror.org/00s6t1f81 INFN, Pavia Brescia U. Pavia U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Pavia, Italy Università di Pavia, Pavia, Italy Parker, B. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Parma, V. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Parodi, F. GRID:grid.6045.7 GRID:grid.5606.5 ROR:https://ror.org/02v89pq06 ROR:https://ror.org/0107c5v14 ROR:https://ror.org/02jbv0t02 INFN, Genoa Genoa U. LBL, Berkeley INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Genova, Genoa, Italy Università di Genova, Genoa, Italy Parodi, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Paroli, B. GRID:grid.6045.7 GRID:grid.4708.b ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/01ynf4891 ROR:https://ror.org/03xejxm22 INFN, Milan Milan Bicocca U. INFN, Milan Bicocca INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Università di Milano, Milan, Italy Parsons, J.A. GRID:grid.21729.3f ROR:https://ror.org/0079jjr10 ROR:https://ror.org/00hj8s172 Munich, Max Planck Inst. Columbia U. Columbia University, New York, NY, USA Passarelli, D. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Passeri, D. GRID:grid.6045.7 GRID:grid.9027.c ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Perugia, Italy Università di Perugia, Perugia, Italy Pattnaik, B. GRID:grid.470047.0 ROR:https://ror.org/017xch102 Valencia U., IFIC IFIC-CSIC/UV, Instituto de Física Corpuscular, Consejo Superior de Investigaciones Científicas/Universidad de Valencia, Valencia, Spain Patwa, A. GRID:grid.85084.31 ROR:https://ror.org/047yk3s18 Catholic U. America Department of Energy of the United States of America, DOE, Washington, DC, USA Paus, C. GRID:grid.116068.8 ROR:https://ror.org/042nb2s44 MIT MIT, Massachusetts Institute of Technology, Cambridge, MA, USA Pauss, F. GRID:grid.5801.c ROR:https://ror.org/05a28rw58 ETH, Zurich (main) ETHZ, Swiss Federal Institute of Technology Zurich, Zurich, Switzerland Peauger, F. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Pedraza, I. GRID:grid.411659.e ROR:https://ror.org/03p2z7827 Puebla U., Inst. Fis. BUAP, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico Pedro, R. GRID:grid.420929.4 ROR:https://ror.org/01hys1667 LIP, Lisbon LIP, Laboratório de Instrumentação e Física Experimental de Partículas, Lisbon, Portugal Pekkanen, J. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Peon, G. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Perez, A. TCS, Madhapur Rendel Ltd, Engineering design consultancy firm, London, UK Perez, E. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Pérez, F. ICE, Bellaterra CELLS/ALBA, Consortium for the Construction, Equipment and Exploitation of the Synchrotron Light Laboratory, Cerdanyola del Vallès, Spain Perez, J.C. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Pérez, J.M. GRID:grid.420019.e ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Madrid, Escuela Tec. Sup. Ing. Ind. CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid, Spain Perez-Ramos, R. GRID:grid.457018.f GRID:grid.463942.e GRID:grid.466436.5 ROR:https://ror.org/02mph9k76 Paris, LPTHE IPSA, Paris CNRS/INP, Centre National de la Recherche Scientifique, Institut de Physique, Paris, France LPTHE, Laboratoire de Physique Théorique et Hautes Energies, Paris, France IPSA, Institut Polytechnique des Sciences Avancées, Ivry-sur-Seine, France Segurana, G. Pérez GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Perillo Marcone, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Perna, S. GRID:grid.6045.7 GRID:grid.4691.a ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy Università di Napoli Federico II, Naples, Italy Peters, K. GRID:grid.7683.a ROR:https://ror.org/01js2sh04 DESY DESY, Deutsches Elektronen-Synchrotron, Hamburg, Germany Petracca, S. GRID:grid.6045.7 GRID:grid.47422.37 ROR:https://ror.org/015kcdd40 ROR:https://ror.org/04vc81p87 INFN, Naples Sannio U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy Università degli Studi del Sannio, Benevento, Italy Petri, A.R. GRID:grid.6045.7 ROR:https://ror.org/04w4m6z96 INFN, Milan INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Petriello, F. GRID:grid.16753.36 ROR:https://ror.org/000e0be47 Northwestern U. Northwestern University, Evanston, IL, USA Petrovic, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Pezzotti, L. GRID:grid.6045.7 ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Bologna, Bologna, Italy Piacquadio, G. GRID:grid.36425.36 ROR:https://ror.org/05qghxh33 SUNY, Stony Brook Stony Brook University, Stony Brook, NY, USA Piazza, G. GRID:grid.13063.37 London School of Economics LSE, London School of Economics, London, UK Piccini, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Piccinini, F. GRID:grid.6045.7 ROR:https://ror.org/01st30669 INFN, Pavia Brescia U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Pavia, Italy Pich, A. GRID:grid.470047.0 ROR:https://ror.org/017xch102 Valencia U., IFIC IFIC-CSIC/UV, Instituto de Física Corpuscular, Consejo Superior de Investigaciones Científicas/Universidad de Valencia, Valencia, Spain Pieloni, T. GRID:grid.5333.6 ROR:https://ror.org/02s376052 ROR:https://ror.org/02v51f717 Ecole Polytechnique, Lausanne Peking U., Beijing EPFL, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Pierlot, J. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Pilkington, A.D. GRID:grid.5379.8 ROR:https://ror.org/027m9bs27 U. Manchester (main) University of Manchester, Manchester, UK Pillet, M. CERN Edaphos Engineering, Geneva, Switzerland Pinamonti, M. GRID:grid.470223.0 GRID:grid.5390.f ROR:https://ror.org/04m8t3f14 INFN, Udine Udine U. INFN, Istituto Nazionale di Fisica Nucleare, Gruppo Collegato di Udine, Udine, Italy Università di Udine, Udine, Italy Pinto, N. GRID:grid.21107.35 ROR:https://ror.org/00za53h95 Johns Hopkins U. Johns Hopkins University, Baltimore, MD, USA Pintucci, L. GRID:grid.470223.0 GRID:grid.5390.f ROR:https://ror.org/04m8t3f14 INFN, Udine Udine U. INFN, Istituto Nazionale di Fisica Nucleare, Gruppo Collegato di Udine, Udine, Italy Università di Udine, Udine, Italy Pinzauti, F. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Piotrzkowski, K. GRID:grid.9922.0 ROR:https://ror.org/00bas1c41 AGH-UST, Cracow AGH, University of Science and Technology, Kraków, Poland Pira, C. GRID:grid.463190.9 ROR:https://ror.org/049jf1a25 Frascati INFN, Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati, Frascati, Italy Pitt, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Pittau, R. GRID:grid.4489.1 ROR:https://ror.org/04njjy449 Granada U. Universidad de Granada, Granada, Spain Pittet, S. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Placidi, P. GRID:grid.6045.7 GRID:grid.9027.c ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Perugia, Italy Università di Perugia, Perugia, Italy Płaczek, W. GRID:grid.5522.0 ROR:https://ror.org/03bqmcz70 Jagiellonian U. Warsaw, Inst. Math. UJ, Jagiellonian University, Kraków, Poland Plätzer, S. GRID:grid.5110.5 GRID:grid.10420.37 ROR:https://ror.org/01faaaf77 ROR:https://ror.org/04d836q62 Graz U. TU Vienna Universität Graz, Graz, Austria Universität Wien, Vienna, Austria Pleier, M.-A. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Ploerer, E. GRID:grid.7400.3 GRID:grid.8767.e ROR:https://ror.org/02crff812 ROR:https://ror.org/006e5kg04 Zurich U. Vrije U., Brussels Universität Zürich, Zurich, Switzerland VUB, Vrije Universiteit Brussel, Brussels, Belgium Podlech, H. GRID:grid.7839.5 ROR:https://ror.org/04cvxnb49 ROR:https://ror.org/04cvxnb49 Frankfurt U. Helmholtz Res. Acad. Hesse for FAIR Frankfurt U., FIAS Institut für Angewandte Physik, Goethe-Universität Frankfurt, Frankfurt am Main, Germany HFFH, Helmholtz Forschungsakademie Hessen für FAIR, Frankfurt am Main, Germany Poirier, F. GRID:grid.433124.3 GRID:grid.450330.1 GRID:grid.5388.6 ROR:https://ror.org/049nhh297 Annecy, LAPP CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LAPP, Laboratoire d’Annecy de Physique des Particules, Annecy, France Université Savoie Mont Blanc, Annecy, France Polesello, G. GRID:grid.6045.7 ROR:https://ror.org/01st30669 INFN, Pavia Brescia U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Pavia, Italy Poli Lener, M. GRID:grid.463190.9 ROR:https://ror.org/049jf1a25 Frascati INFN, Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati, Frascati, Italy Polinski, J. GRID:grid.7005.2 Wroclaw Tech. U. Wrocław University of Science and Technology, Wrocław, Poland Polonsky, Z. GRID:grid.7400.3 ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Pompeo, N. GRID:grid.8509.4 ROR:https://ror.org/05vf0dg29 Rome III U. Università Roma Tre, Rome, Italy Pont, M. ICE, Bellaterra CELLS/ALBA, Consortium for the Construction, Equipment and Exploitation of the Synchrotron Light Laboratory, Cerdanyola del Vallès, Spain Alexandru-Popeneciu, G. GRID:grid.435410.7 INCDTIM, Cluj Napoca INCDTIM, National Institute for Research and Development of Isotopic and Molecular Technologies, Cluj-Napoca, Romania Porod, W. GRID:grid.8379.5 ROR:https://ror.org/00djv2c17 IISER, Kolkata, Mohanpur Julius-Maximilians-Universität Würzburg, Würzburg, Germany Porta, L. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Portales, L. GRID:grid.457342.3 ROR:https://ror.org/05k705z76 IRFU, Saclay CEA/Irfu, Commissariat à l’Energie Atomique et aux Energies Alternatives, Institut de recherche sur les lois fondamentales de l’Univers, Saclay, France Portaluri, T. GRID:grid.12082.39 ROR:https://ror.org/00ayhx656 Sussex U. SUSSEX, University of Sussex, Brighton, UK Potenza, M.A.C. GRID:grid.4708.b ROR:https://ror.org/01ynf4891 ROR:https://ror.org/03xejxm22 Milan Bicocca U. INFN, Milan Bicocca Università di Milano, Milan, Italy Prasse, C. GRID:grid.469827.6 Ilmenau Tech. U. IML, Fraunhofer-Institut für Materialfluss und Logistik, Dortmund, Germany Premat, E. Unlisted, FR CETU, Centre d’Etude des Tunnels, Lyon, France Presilla, M. GRID:grid.7892.4 ROR:https://ror.org/04t3en479 KIT, Karlsruhe, IKP KIT, Karlsruher Institut für Technologie, Karlsruhe, Germany Prestemon, S. GRID:grid.184769.5 ROR:https://ror.org/02jbv0t02 LBNL, Berkeley LBNL, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Price, A. GRID:grid.5522.0 ROR:https://ror.org/03bqmcz70 Jagiellonian U. Warsaw, Inst. Math. UJ, Jagiellonian University, Kraków, Poland Primavera, M. GRID:grid.6045.7 ROR:https://ror.org/00qrf6g60 ROR:https://ror.org/03fc1k060 INFN, Lecce Salento U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Lecce, Lecce, Italy Principe, R. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Prioli, M. GRID:grid.6045.7 ROR:https://ror.org/04w4m6z96 INFN, Milan INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Procacci, F.M. GRID:grid.6045.7 ROR:https://ror.org/022hq6c49 INFN, Bari INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy Proserpio, E. GRID:grid.6045.7 GRID:grid.18147.3b ROR:https://ror.org/04w4m6z96 INFN, Milan Insubria U., Como INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Università degli Studi dell’Insubria, Como, Italy Provino, A. GRID:grid.5326.2 GRID:grid.5606.5 ROR:https://ror.org/0107c5v14 ROR:https://ror.org/02v89pq06 ROR:https://ror.org/02jbv0t02 CNR, INO, Pisa Genoa U. INFN, Genoa LBL, Berkeley CNR-SPIN, Consiglio Nazionale delle Ricerche, Genoa, Italy Università di Genova, Genoa, Italy Pueyo, C. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Puig, T. GRID:grid.4711.3 ROR:https://ror.org/02gfc7t72 CSIC, Madrid ICMAB/CISC, Institut de Ciència de Materials de Barcelona, Consejo Superior de Investigaciones Científicas, Barcelona, Spain Pukhaeva, N. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, Geneva, Switzerland Pulawski, S. GRID:grid.11866.38 ROR:https://ror.org/0104rcc94 Silesia U. University of Silesia in Katowice, Katowice, Poland Punzi, G. GRID:grid.6045.7 GRID:grid.5395.a ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, Pisa, Italy Università di Pisa, Pisa, Italy Pyarelal, A. GRID:grid.134563.6 ROR:https://ror.org/03m2x1q45 Arizona U. University of Arizona, Tucson, AZ, USA Qian, J. GRID:grid.214458.e ROR:https://ror.org/00jmfr291 Michigan U. University of Michigan, Ann Arbor, MI, USA Quack, H. GRID:grid.4488.0 ROR:https://ror.org/042aqky30 Dresden, Tech. U. Technische Universität Dresden, Dresden, Germany Queiroz, F.S. GRID:grid.411233.6 ROR:https://ror.org/04wn09761 IIP, Brazil UFRN, Universidade Federal do Rio Grande do Norte, Natal, Brazil Quintas-Neves, G. GRID:grid.483055.f ROR:https://ror.org/02s376052 Ecole Polytechnique, Lausanne BG Ingénieurs Conseils, Lausanne, Switzerland Rafique, H. GRID:grid.14467.30 ROR:https://ror.org/0089bg420 Daresbury RAL, Rutherford Appleton Laboratory, Science and Technology Facilities Council, Didcot, UK Raguin, J.-Y. GRID:grid.5991.4 ROR:https://ror.org/03eh3y714 PSI, Villigen PSI, Paul Scherrer Institute, Villigen, Switzerland Raidal, J. GRID:grid.177284.f ROR:https://ror.org/03eqd4a41 NICPB, Tallinn NICPB, National Institute for Chemical Physics and Biophysics, Tallinn, Estonia Raidal, M. GRID:grid.177284.f ROR:https://ror.org/03eqd4a41 NICPB, Tallinn NICPB, National Institute for Chemical Physics and Biophysics, Tallinn, Estonia Raimondi, P. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Rajabi, A. GRID:grid.7683.a ROR:https://ror.org/01js2sh04 DESY DESY, Deutsches Elektronen-Synchrotron, Hamburg, Germany Ramírez-Uribe, S. GRID:grid.412863.a Sinaloa U. UAS, Universidad Autónoma de Sinaloa, Culiacán, Mexico Randles, S. GRID:grid.10025.36 ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Liverpool, UK Rao, T. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Rasmussen, C. Ø. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Ratkus, A. GRID:grid.6973.b ROR:https://ror.org/00twb6c09 Riga Tech. U. RTU, Riga Technical University, Riga, Latvia Ratoff, P.N. GRID:grid.450757.4 GRID:grid.9835.7 ROR:https://ror.org/02a5smf05 ROR:https://ror.org/027m9bs27 ROR:https://ror.org/04f2nsd36 Cockcroft Inst. Accel. Sci. Tech. Manchester U. Lancaster U. (main) CI, Cockcroft Institute, Warrington, UK Lancaster University, Lancaster, UK Razis, P. GRID:grid.6603.3 ROR:https://ror.org/02qjrjx09 Cyprus U. University of Cyprus, Nicosia, Cyprus Cosmos Open University, Nicosia, Cyprus Rebello Teles, P. GRID:grid.9132.9 GRID:grid.418228.5 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/02wnmk332 CERN Rio de Janeiro, CBPF CERN, European Organization for Nuclear Research, Geneva, Switzerland CBPF, Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro, Brazil Rebelo, M.N. GRID:grid.9983.b ROR:https://ror.org/01c27hj86 Lisbon, CFTP CFTP-IST, Centro de Física Téorica de Partículas, Instituto Superior Tecnico, Universidade de Lisboa, Lisbon, Portugal Reboud, M. GRID:grid.433124.3 GRID:grid.508754.b GRID:grid.508487.6 ROR:https://ror.org/03gc1p724 IJCLab, Orsay CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IJCLab, Laboratoire de Physique des 2 Infinis Irène Joliot Curie, Orsay, France Université Paris-Saclay et Université Paris-Cité, Paris, France Redaelli, S. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Regazzoni, C. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Reichenbach, L. GRID:grid.9132.9 GRID:grid.10388.32 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/041nas322 CERN U. Bonn (main) CERN, European Organization for Nuclear Research, Geneva, Switzerland Universität Bonn, Bonn, Germany Reissig, M. GRID:grid.7892.4 ROR:https://ror.org/04t3en479 KIT, Karlsruhe, IKP KIT, Karlsruher Institut für Technologie, Karlsruhe, Germany Renou, E. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Rentería-Olivo, A. GRID:grid.470047.0 ROR:https://ror.org/017xch102 Valencia U., IFIC IFIC-CSIC/UV, Instituto de Física Corpuscular, Consejo Superior de Investigaciones Científicas/Universidad de Valencia, Valencia, Spain Reuter, J. GRID:grid.7683.a ROR:https://ror.org/01js2sh04 DESY DESY, Deutsches Elektronen-Synchrotron, Hamburg, Germany Rey, S. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Ribon, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Ricci, D. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Riegler, W. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Rignanese, M. GRID:grid.6045.7 GRID:grid.5608.b ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Padua, Italy Università di Padova, Padua, Italy Rimjaem, S. GRID:grid.7132.7 ROR:https://ror.org/05m2fqn25 Chiang Mai U. CMU, Chiang Mai University, Chiang Mai, Thailand Rimmer, R.A. GRID:grid.450315.6 ROR:https://ror.org/02vwzrd76 Jefferson Lab JLAB, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA Rinaldesi, R. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Rinolfi, L. GRID:grid.9132.9 GRID:grid.421171.0 ROR:https://ror.org/01ggx4157 CERN ESI, Archamps CERN, European Organization for Nuclear Research, Geneva, Switzerland ESI, European Scientific Institute, Archamps, France Rios, O. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Ripellino, G. GRID:grid.8993.b ROR:https://ror.org/048a87296 Uppsala U. Uppsala University, Uppsala, Sweden Rivas, B. GRID:grid.442143.4 ROR:https://ror.org/01gb99w41 Quito, Escuela Politecnica Natl. ESPOL, Escuela Superior Politécnica del Litoral, Guayaquil, Ecuador Rivetti, A. GRID:grid.6045.7 ROR:https://ror.org/01vj6ck58 INFN, Turin INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Torino, Turin, Italy Robens, T. GRID:grid.4905.8 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb IRB, Rudjer Boskovic Institute, Zagreb, Croatia Robert, F. Unlisted, FR CETU, Centre d’Etude des Tunnels, Lyon, France Robutti, E. GRID:grid.6045.7 ROR:https://ror.org/02v89pq06 INFN, Genoa INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Genova, Genoa, Italy Roderick, C. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Rodrigo, G. GRID:grid.470047.0 ROR:https://ror.org/017xch102 Valencia U., IFIC IFIC-CSIC/UV, Instituto de Física Corpuscular, Consejo Superior de Investigaciones Científicas/Universidad de Valencia, Valencia, Spain Rodríguez-Cahuantzi, M. GRID:grid.411659.e ROR:https://ror.org/03p2z7827 Puebla U., Inst. Fis. BUAP, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico Röhrig, L. GRID:grid.470921.9 GRID:grid.494717.8 GRID:grid.5675.1 ROR:https://ror.org/0214k6v65 ROR:https://ror.org/01k97gp34 LPC, Clermont-Ferrand Tech. U., Dortmund (main) LPCA, Laboratoire de Physique de Clermont Auvergne, Clermont-Ferrand, France Université Clermont Auvergne, Clermont-Ferrand, France Technische Universität Dortmund, Dortmund, Germany Roig, M. Unlisted, FR Air Liquide Advanced Technologies, Grenoble, France Rojat, F. GRID:grid.432932.d Unlisted, FR Cerema, établissement public pour l’élaboration, le déploiement et l’évaluation de politiques publiques d’aménagement et de transport, Lyon, France Rojo, J. GRID:grid.420012.5 GRID:grid.12380.38 ROR:https://ror.org/00f9tz983 ROR:https://ror.org/008xxew50 NIKHEF, Amsterdam Vrije U., Amsterdam NIKHEF, Nationaal instituut voor subatomaire fysica, Amsterdam, The Netherlands VU Amsterdam, Amsterdam, The Netherlands Roloff, J. GRID:grid.40263.33 ROR:https://ror.org/05gq02987 Brown U. Brown University, Providence, RI, USA Roloff, P. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Romanenko, A. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Francia, A. Romero GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Romeyer, H. Unlisted, FR INGÉROP, Groupe d’ingénierie et de conseil en mobilité durable, transition énergétique et cadre de vie, Lyon, France Rompotis, N. GRID:grid.10025.36 ROR:https://ror.org/04xs57h96 Liverpool U. University of Liverpool, Liverpool, UK Rongieras, N. Unlisted, FR SETEC ALS, Société d’ingénierie conseil en infrastructures de transport, génie civil et environnement, Lyon, France Rosaz, G. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Roslon, K. GRID:grid.1035.7 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. (main) Warsaw University of Technology, Warsaw, Poland Rossetti Conti, M. GRID:grid.6045.7 ROR:https://ror.org/04w4m6z96 INFN, Milan INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Rossi, A. GRID:grid.6045.7 GRID:grid.9027.c ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Perugia, Italy Università di Perugia, Perugia, Italy Rossi, E. GRID:grid.6045.7 GRID:grid.4691.a ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy Università di Napoli Federico II, Naples, Italy Rossi, L. GRID:grid.6045.7 GRID:grid.4708.b ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/01ynf4891 ROR:https://ror.org/03xejxm22 INFN, Milan Milan Bicocca U. INFN, Milan Bicocca INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Università di Milano, Milan, Italy Rossia, A.N. GRID:grid.6045.7 GRID:grid.5608.b ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Padua, Italy Università di Padova, Padua, Italy Rostami, S. GRID:grid.46072.37 ROR:https://ror.org/05vf56z40 Tehran U. University of Tehran, Tehran, Iran Roy, G. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Rubik, B. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Ruehl, I. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Ruiz-Jimeno, A. GRID:grid.469953.4 ROR:https://ror.org/040kx1j83 Cantabria Inst. of Phys. IFCA, Instituto de Física de Cantabria, Santander, Spain Ruprecht, R. GRID:grid.7892.4 ROR:https://ror.org/04t3en479 KIT, Karlsruhe, IKP KIT, Karlsruher Institut für Technologie, Karlsruhe, Germany Rutherfoord, J.P. GRID:grid.134563.6 ROR:https://ror.org/03m2x1q45 Arizona U. University of Arizona, Tucson, AZ, USA Rygaard, L. GRID:grid.7683.a ROR:https://ror.org/01js2sh04 DESY DESY, Deutsches Elektronen-Synchrotron, Hamburg, Germany Ryu, M.S. GRID:grid.258803.4 ROR:https://ror.org/040c17130 Kyungpook Natl. U. KNU Kyungpook National University, Daegu, Republic of Korea Sabato, L. GRID:grid.9132.9 GRID:grid.5333.6 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/02s376052 ROR:https://ror.org/02v51f717 CERN Ecole Polytechnique, Lausanne Peking U., Beijing CERN, European Organization for Nuclear Research, Geneva, Switzerland EPFL, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Sadowski, G. GRID:grid.433124.3 GRID:grid.462076.1 GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IPHC, Institut Pluridisciplinaire Hubert Curien, Strasbourg, France Université de Strasbourg, Strasbourg, France de Jauregui, D. Saez GRID:grid.7892.4 ROR:https://ror.org/04t3en479 KIT, Karlsruhe, IKP KIT, Karlsruher Institut für Technologie, Karlsruhe, Germany Institut für Beschleunigerphysik und Technologie, Eggenstein-Leopoldshafen, Germany Sahin, M. GRID:grid.440474.7 ROR:https://ror.org/04fjtte88 Suleyman Demirel U. Uşak Üniversitesi, Uşak, Türkiye Sailer, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Saito, M. GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 Tokyo U., ICEPP ICEPP, International Center for Elementary Particle Physics, University of Tokyo, Tokyo, Japan Saiz, P. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Salam, G.P. GRID:grid.4991.5 ROR:https://ror.org/052gg0110 ROR:https://ror.org/052gg0110 Oxford U., Theor. Phys. Oxford U. Rudolf Peierls Centre for Theoretical Physics, University of Oxford, Oxford, UK All Souls College, University of Oxford, Oxford, UK Salerno, R. GRID:grid.433124.3 GRID:grid.463805.c GRID:grid.508893.f ROR:https://ror.org/058t6p923 Ecole Polytechnique CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LLR, Laboratoire Leprince-Ringuet, Palaiseau, France École Polytechnique, Institut Polytechnique de Paris, Palaiseau, France Salmi, T. GRID:grid.502801.e Tampere U. of Tech. Tampere University, Tampere, Finland Salvachua, B. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Salvesen, J.P.T. GRID:grid.9132.9 GRID:grid.4991.5 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/052gg0110 ROR:https://ror.org/00wgpgb78 CERN Oxford U. JAI, UK CERN, European Organization for Nuclear Research, Geneva, Switzerland University of Oxford, Oxford, UK JAI, John Adams Institute for Accelerator Science, University of Oxford, Oxford, UK Salvi, B. GRID:grid.483055.f ROR:https://ror.org/02s376052 Ecole Polytechnique, Lausanne BG Ingénieurs Conseils, Lausanne, Switzerland Sampsonidis, D. GRID:grid.4793.9 ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki AUTH, Aristotle University of Thessaloniki, Thessaloniki, Greece Villamizar, Y. GRID:grid.457018.f GRID:grid.463942.e GRID:grid.462844.8 ROR:https://ror.org/02mph9k76 Paris, LPTHE CNRS/INP, Centre National de la Recherche Scientifique, Institut de Physique, Paris, France LPTHE, Laboratoire de Physique Théorique et Hautes Energies, Paris, France Sorbonne Université, Paris, France Sandoval, C. GRID:grid.10689.36 ROR:https://ror.org/059yx9a68 Colombia, U. Natl. Universidad Nacional de Colombia, Bogotá, Colombia Sanfilippo, S. GRID:grid.5991.4 ROR:https://ror.org/03eh3y714 PSI, Villigen PSI, Paul Scherrer Institute, Villigen, Switzerland Santopinto, E. GRID:grid.6045.7 ROR:https://ror.org/02v89pq06 INFN, Genoa INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Genova, Genoa, Italy Santoro, R. GRID:grid.6045.7 GRID:grid.18147.3b ROR:https://ror.org/04w4m6z96 INFN, Milan Insubria U., Como INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Università degli Studi dell’Insubria, Como, Italy Sarasola, X. GRID:grid.5333.6 ROR:https://ror.org/02s376052 ROR:https://ror.org/02v51f717 Ecole Polytechnique, Lausanne Peking U., Beijing EPFL, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Sarperi, L. GRID:grid.19739.35 ROR:https://ror.org/02crff812 Zurich U. ZHAW, Zurich University of Applied Sciences, Winterthur, Switzerland Sarpün, I.H. GRID:grid.29906.34 ROR:https://ror.org/01m59r132 Akdeniz U. Akdeniz Üniversitesi, Antalya, Türkiye Sasikumar, S. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Sauvain, M. Unlisted, ML Latitude Durable SARL, Geneva, Switzerland Savoy-Navarro, A. GRID:grid.457342.3 GRID:grid.433124.3 ROR:https://ror.org/05k705z76 IRFU, Saclay CEA/Irfu, Commissariat à l’Energie Atomique et aux Energies Alternatives, Institut de recherche sur les lois fondamentales de l’Univers, Saclay, France CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France Sawada, R. GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 Tokyo U., ICEPP ICEPP, International Center for Elementary Particle Physics, University of Tokyo, Tokyo, Japan Sborlini, G. GRID:grid.11762.33 ROR:https://ror.org/02f40zc51 Salamanca U., IUFFyM USAL, Universidad de Salamanca, Salamanca, Spain Scamardella, J. GRID:grid.6045.7 GRID:grid.4691.a ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy Università di Napoli Federico II, Naples, Italy Schaer, M. GRID:grid.5991.4 ROR:https://ror.org/03eh3y714 PSI, Villigen PSI, Paul Scherrer Institute, Villigen, Switzerland Schaumann, M. GRID:grid.9132.9 GRID:grid.7683.a ROR:https://ror.org/01ggx4157 ROR:https://ror.org/01js2sh04 CERN DESY CERN, European Organization for Nuclear Research, Geneva, Switzerland DESY, Deutsches Elektronen-Synchrotron, Hamburg, Germany Schenk, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Scheuerlein, C. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Schiavi, C. GRID:grid.6045.7 GRID:grid.5606.5 ROR:https://ror.org/02v89pq06 ROR:https://ror.org/0107c5v14 ROR:https://ror.org/02jbv0t02 INFN, Genoa Genoa U. LBL, Berkeley INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Genova, Genoa, Italy Università di Genova, Genoa, Italy Schloegelhofer, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Schoerling, D. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Schöning, A. GRID:grid.7700.0 ROR:https://ror.org/00fbnyb24 Wurzburg U. Fakultät für Physik und Astronomie, Universität Heidelberg, Heidelberg, Germany Schramm, S. GRID:grid.8591.5 ROR:https://ror.org/01swzsf04 U. Geneva (main) UNIGE, Université de Genève, Geneva, Switzerland Schulte, D. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Schwaller, P. GRID:grid.5802.f GRID:grid.517349.d ROR:https://ror.org/023b0x485 ROR:https://ror.org/023b0x485 Mainz U. U. Mainz, PRISMA Johannes Gutenberg Universität Mainz, Mainz, Germany PRISMA+ Cluster of Excellence, Mainz, Germany Schwartzman, A. GRID:grid.445003.6 ROR:https://ror.org/05gzmn429 SLAC SLAC National Accelerator Laboratory, Menlo Park, CA, USA Schwemling, P. GRID:grid.457342.3 ROR:https://ror.org/05k705z76 IRFU, Saclay CEA/Irfu, Commissariat à l’Energie Atomique et aux Energies Alternatives, Institut de recherche sur les lois fondamentales de l’Univers, Saclay, France Schwienhorst, R. GRID:grid.17088.36 ROR:https://ror.org/05hs6h993 Michigan State U. Michigan State University, East Lansing, MI, USA Sciandra, A. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Scibile, L. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Scimemi, I. GRID:grid.4795.f ROR:https://ror.org/02p0gd045 Madrid U. Universidad Complutense Madrid, Madrid, Spain Scomparin, E. GRID:grid.6045.7 ROR:https://ror.org/01vj6ck58 INFN, Turin INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Torino, Turin, Italy Sebastiani, C. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Seeber, B. Unlisted, ML scMetrology SARL, Geneva, Switzerland Seeman, J.T. GRID:grid.445003.6 ROR:https://ror.org/05gzmn429 SLAC SLAC National Accelerator Laboratory, Menlo Park, CA, USA Sefkow, F. GRID:grid.7683.a ROR:https://ror.org/01js2sh04 DESY DESY, Deutsches Elektronen-Synchrotron, Hamburg, Germany Seidel, M. GRID:grid.5991.4 GRID:grid.5333.6 ROR:https://ror.org/03eh3y714 ROR:https://ror.org/02s376052 ROR:https://ror.org/02v51f717 PSI, Villigen Ecole Polytechnique, Lausanne Peking U., Beijing PSI, Paul Scherrer Institute, Villigen, Switzerland EPFL, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Seidel, S. GRID:grid.266832.b ROR:https://ror.org/05fs6jp91 New Mexico U. University of New Mexico, Albuquerque, NM, USA Seixas, J. GRID:grid.9983.b ROR:https://ror.org/043pwc612 ROR:https://ror.org/00jmfr291 ROR:https://ror.org/03cx6bg69 ROR:https://ror.org/01c27hj86 ROR:https://ror.org/05060sz93 ROR:https://ror.org/01c27hj86 Porto U. Michigan U. Natl. Tech. U., Athens Lisbon, IST Stefan Inst., Ljubljana IST, Lisbon (main) LaPMET, Laboratory of Physics for Materials and Emergent Technologies, Porto, Portugal IST, Instituto Superior Tecnico, Universidade de Lisboa, Lisbon, Portugal Center of Physics and Engineering of Advanced Materials, CeFEMA, Lisbon, Portugal Selimović, N. GRID:grid.6045.7 ROR:https://ror.org/00z34yn88 INFN, Padua INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Padua, Italy Selvaggi, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Senatore, C. GRID:grid.8591.5 ROR:https://ror.org/01swzsf04 U. Geneva (main) UNIGE, Université de Genève, Geneva, Switzerland Senol, A. GRID:grid.411082.e ROR:https://ror.org/01x1kqx83 Abant Izzet Baysal U. IBU, Bolu Abant İzzet Baysal Üniversitesi, Bolu, Türkiye Serra, N. GRID:grid.7400.3 ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Seryi, A. GRID:grid.450315.6 ROR:https://ror.org/02vwzrd76 Jefferson Lab JLAB, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA Sfyrla, A. GRID:grid.8591.5 ROR:https://ror.org/01swzsf04 U. Geneva (main) UNIGE, Université de Genève, Geneva, Switzerland Sharma, Pramond GRID:grid.458435.b ROR:https://ror.org/01vztzd79 IISER, Mohali Indian Institute of Science Education and Research Mohali, Mohali, India Sharma, Punit GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Sharp, C.J. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Shchutska, L. GRID:grid.5333.6 ROR:https://ror.org/02s376052 ROR:https://ror.org/02v51f717 Ecole Polytechnique, Lausanne Peking U., Beijing EPFL, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Shiltsev, V. GRID:grid.261128.e ROR:https://ror.org/012wxa772 Northern Illinois U. NIU, Northern Illinois University, DeKalb, IL, USA Siano, M. GRID:grid.6045.7 GRID:grid.4708.b ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/01ynf4891 ROR:https://ror.org/03xejxm22 INFN, Milan Milan Bicocca U. INFN, Milan Bicocca INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Università di Milano, Milan, Italy Sierra, R. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Silva, E. GRID:grid.8509.4 ROR:https://ror.org/05vf0dg29 Rome III U. Università Roma Tre, Rome, Italy Silva, R.C. GRID:grid.411233.6 ROR:https://ror.org/04wn09761 IIP, Brazil UFRN, Universidade Federal do Rio Grande do Norte, Natal, Brazil IIP, International Institute of Physics, Natal, Brazil Silvestrini, L. GRID:grid.6045.7 ROR:https://ror.org/05eva6s33 INFN, Rome INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Roma, Rome, Italy Simon, F. GRID:grid.7892.4 ROR:https://ror.org/04t3en479 KIT, Karlsruhe, IKP KIT, Karlsruher Institut für Technologie, Karlsruhe, Germany Simonetti, G. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Simoniello, R. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Singh, B.K. GRID:grid.411507.6 ROR:https://ror.org/04cdn2797 Banaras Hindu U. Banaras Hindu University, Varanasi, India Singh, S. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Singhal, B. GRID:grid.39936.36 ROR:https://ror.org/047yk3s18 Catholic U. Catholic University of America, Washington, DC, USA Siodmok, A. GRID:grid.9132.9 GRID:grid.5522.0 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/03bqmcz70 CERN Jagiellonian U. Warsaw, Inst. Math. CERN, European Organization for Nuclear Research, Geneva, Switzerland UJ, Jagiellonian University, Kraków, Poland Sirois, Y. GRID:grid.433124.3 GRID:grid.463805.c GRID:grid.508893.f ROR:https://ror.org/058t6p923 Ecole Polytechnique CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LLR, Laboratoire Leprince-Ringuet, Palaiseau, France École Polytechnique, Institut Polytechnique de Paris, Palaiseau, France Sirtori, E. Moscow, ITEP CSIL (Economic Research Institute), Milan, Italy Sitar, B. GRID:grid.7634.6 ROR:https://ror.org/0587ef340 Comenius U. Comenius University, Bratislava, Slovakia Sittard, D. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Sitti, E. GRID:grid.5801.c ROR:https://ror.org/05a28rw58 ETH, Zurich (main) ETHZ, Swiss Federal Institute of Technology Zurich, Zurich, Switzerland Sjöstrand, T. GRID:grid.4514.4 ROR:https://ror.org/012a77v79 Lund U. (main) Lund University, Lund, Sweden Skands, P. GRID:grid.1002.3 ROR:https://ror.org/02bfwt286 Monash U. Monash University, Melbourne, Australia Skinnari, L. GRID:grid.261112.7 ROR:https://ror.org/04t5xt781 Northeastern U. Northeastern University, Boston, MA, USA Skoufaris, K. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Skovpen, K. GRID:grid.5342.0 ROR:https://ror.org/00cv9y106 Gent U. Universiteit Gent, Ghent, Belgium Skrzypek, M. GRID:grid.413454.3 ROR:https://ror.org/01n78t774 Cracow, INP IFJ PAN, Institute of Nuclear Physics, Polish Academy of Sciences, Kraków, Poland Slavich, P. GRID:grid.457018.f GRID:grid.463942.e GRID:grid.462844.8 ROR:https://ror.org/02mph9k76 Paris, LPTHE CNRS/INP, Centre National de la Recherche Scientifique, Institut de Physique, Paris, France LPTHE, Laboratoire de Physique Théorique et Hautes Energies, Paris, France Sorbonne Université, Paris, France Slokenbergs, V. GRID:grid.264784.b ROR:https://ror.org/0405mnx93 Texas Tech. Texas Tech University, Lubbock, TX, USA Smaluk, V. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Smiesko, J. GRID:grid.9132.9 GRID:grid.419303.c ROR:https://ror.org/01ggx4157 ROR:https://ror.org/05mgxqt50 CERN Bratislava, Inst. Phys. CERN, European Organization for Nuclear Research, Geneva, Switzerland Slovak Academy of Sciences, Bratislava, Slovakia Snyder, S.S. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Solano, E. ICE, Bellaterra CELLS/ALBA, Consortium for the Construction, Equipment and Exploitation of the Synchrotron Light Laboratory, Cerdanyola del Vallès, Spain Sollander, P. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Solovyanov, O.V. GRID:grid.9132.9 GRID:grid.433124.3 GRID:grid.470921.9 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/0214k6v65 CERN LPC, Clermont-Ferrand CERN, European Organization for Nuclear Research, Geneva, Switzerland CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LPCA, Laboratoire de Physique de Clermont Auvergne, Clermont-Ferrand, France Son, M. GRID:grid.37172.30 ROR:https://ror.org/05apxxy63 KAIST, Taejon KAIST, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea Sonnemann, F. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Soos, R. GRID:grid.9132.9 GRID:grid.433124.3 GRID:grid.508754.b ROR:https://ror.org/01ggx4157 ROR:https://ror.org/03gc1p724 CERN IJCLab, Orsay CERN, European Organization for Nuclear Research, Geneva, Switzerland CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IJCLab, Laboratoire de Physique des 2 Infinis Irène Joliot Curie, Orsay, France Sopkova, F. GRID:grid.4491.8 ROR:https://ror.org/024d6js02 Charles U. CUNI, Charles University, Prague, Czech Republic Sorais, T. Unlisted, FR Amberg Engineering Chambéry, Chambéry, France Sorbi, M. GRID:grid.6045.7 GRID:grid.4708.b ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/01ynf4891 ROR:https://ror.org/03xejxm22 INFN, Milan Milan Bicocca U. INFN, Milan Bicocca INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Università di Milano, Milan, Italy Sorti, S. GRID:grid.6045.7 GRID:grid.4708.b ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/01ynf4891 ROR:https://ror.org/03xejxm22 INFN, Milan Milan Bicocca U. INFN, Milan Bicocca INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Università di Milano, Milan, Italy Soualah, R. GRID:grid.440568.b KUSTAR, Sharjah Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates Souayah, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Spallino, L. GRID:grid.463190.9 ROR:https://ror.org/049jf1a25 Frascati INFN, Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati, Frascati, Italy Spanier, S. GRID:grid.411461.7 ROR:https://ror.org/020f3ap87 Tennessee U. University of Tennessee, Knoxville, TN, USA Spiller, P. GRID:grid.159791.2 ROR:https://ror.org/02k8cbn47 Darmstadt, GSI GSI, Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany Spira, M. GRID:grid.5991.4 ROR:https://ror.org/03eh3y714 PSI, Villigen PSI, Paul Scherrer Institute, Villigen, Switzerland Stagnara, D. Unlisted, FR SETEC ALS, Société d’ingénierie conseil en infrastructures de transport, génie civil et environnement, Lyon, France Stallmann, M. Unlisted, AT ILF Consulting Engineers, Zurich, Switzerland Standen, D. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Stanyard, J.L. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Stapf, B. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Stark, G.H. GRID:grid.205975.c ROR:https://ror.org/03s65by71 UC, Santa Cruz University of California Santa Cruz, Santa Cruz, CA, USA Statera, M. GRID:grid.6045.7 ROR:https://ror.org/04w4m6z96 INFN, Milan INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Staudinger, C. GRID:grid.9132.9 GRID:grid.5173.0 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/03prydq77 CERN Vienna U. CERN, European Organization for Nuclear Research, Geneva, Switzerland BOKU, Universität für Bodenkultur Wien, Vienna, Austria Stefanek, B.A. GRID:grid.470047.0 ROR:https://ror.org/017xch102 Valencia U., IFIC IFIC-CSIC/UV, Instituto de Física Corpuscular, Consejo Superior de Investigaciones Científicas/Universidad de Valencia, Valencia, Spain Streicher, G. GRID:grid.423174.7 ROR:https://ror.org/039shy520 Vienna, OAW WIFO, Österreichisches Institut für Wirtschaftsforschung, Vienna, Austria Strohmaier, N.P. GRID:grid.5991.4 ROR:https://ror.org/03eh3y714 PSI, Villigen PSI, Paul Scherrer Institute, Villigen, Switzerland Stroynowski, R. GRID:grid.263864.d ROR:https://ror.org/042tdr378 Southern Methodist U. Southern Methodist University, Dallas, TX, USA Stucci, S. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Stupakov, G. GRID:grid.445003.6 ROR:https://ror.org/05gzmn429 SLAC SLAC National Accelerator Laboratory, Menlo Park, CA, USA Su, S. GRID:grid.134563.6 ROR:https://ror.org/03m2x1q45 Arizona U. University of Arizona, Tucson, AZ, USA Sublet, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Sugita, K. GRID:grid.159791.2 ROR:https://ror.org/02k8cbn47 Darmstadt, GSI GSI, Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany Sullivan, M.K. GRID:grid.445003.6 ROR:https://ror.org/05gzmn429 SLAC SLAC National Accelerator Laboratory, Menlo Park, CA, USA Sultansoy, S. GRID:grid.412749.d TOBB ETU, Ankara TOBB ETU, TOBB Ekonomi ve Teknoloji Üniversitesi, Ankara, Türkiye Sutherland, D. GRID:grid.8756.c ROR:https://ror.org/00vtgdb53 Glasgow U. University of Glasgow, Glasgow, UK Syratchev, I. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Szafron, R. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Sznajder, A. GRID:grid.412211.5 ROR:https://ror.org/0198v2949 Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil Tachon, W. Unlisted, FR Mélica, NATURA SCOP, Études et expertises environnementales, Aubenas, France Tagdulang, N.D. GRID:grid.417851.e GRID:grid.6835.8 ROR:https://ror.org/020hgte69 ROR:https://ror.org/052g8jq94 ROR:https://ror.org/03mb6wj31 Fermilab ICE, Bellaterra Barcelona, Polytechnic U. FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA CELLS/ALBA, Consortium for the Construction, Equipment and Exploitation of the Synchrotron Light Laboratory, Cerdanyola del Vallès, Spain UPC, Universitat Politècnica de Catalunya, Barcelona, Spain Tahir, N.A. GRID:grid.159791.2 ROR:https://ror.org/02k8cbn47 Darmstadt, GSI GSI, Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany Takahashi, Y. GRID:grid.15276.37 ROR:https://ror.org/02y3ad647 U. Florida, Gainesville (main) University of Florida, Gainesville, FL, USA Tamazirt, J. GRID:grid.433124.3 GRID:grid.508754.b GRID:grid.508487.6 ROR:https://ror.org/03gc1p724 IJCLab, Orsay CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IJCLab, Laboratoire de Physique des 2 Infinis Irène Joliot Curie, Orsay, France Université Paris-Saclay et Université Paris-Cité, Paris, France Tang, S. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Tanimoto, Y. GRID:grid.410794.f ROR:https://ror.org/01g5y5k24 KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Tapan, I. GRID:grid.34538.39 ROR:https://ror.org/03tg3eb07 Uludag U. Bursa Uludağ Üniversitesi, Bursa, Türkiye Tassielli, G.F. GRID:grid.6045.7 GRID:grid.440892.3 ROR:https://ror.org/022hq6c49 ROR:https://ror.org/01c27hj86 INFN, Bari U. Lisbon (main) INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy Università LUM, Casamassima, Italy Teixeira, A.M. GRID:grid.433124.3 GRID:grid.470921.9 GRID:grid.494717.8 ROR:https://ror.org/0214k6v65 LPC, Clermont-Ferrand CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LPCA, Laboratoire de Physique de Clermont Auvergne, Clermont-Ferrand, France Université Clermont Auvergne, Clermont-Ferrand, France Telnov, V.I. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, Geneva, Switzerland Ten Kate, H.H.J. GRID:grid.9132.9 GRID:grid.6214.1 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/006hf6230 CERN Twente U., Enschede CERN, European Organization for Nuclear Research, Geneva, Switzerland University of Twente, Enschede, The Netherlands Teotia, V. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Hoeve, J. ter GRID:grid.4305.2 ROR:https://ror.org/01nrxwf90 Edinburgh U. University of Edinburgh, Edinburgh, UK Thabuis, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Telles, G.T. GRID:grid.4711.3 ROR:https://ror.org/02gfc7t72 CSIC, Madrid ICMAB/CISC, Institut de Ciència de Materials de Barcelona, Consejo Superior de Investigaciones Científicas, Barcelona, Spain Tishelman-Charny, A. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Tissandier, S. GRID:grid.432932.d Unlisted, FR Cerema, établissement public pour l’élaboration, le déploiement et l’évaluation de politiques publiques d’aménagement et de transport, Lyon, France Tizchang, S. GRID:grid.418744.a GRID:grid.411425.7 ROR:https://ror.org/04xreqs31 ROR:https://ror.org/00ngrq502 IPM, Tehran Arak U. IPM, Institute for Research in Fundamental Science, Tehran, Iran Arak University, Arak, Iran Tock, J.-P. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Todd, B. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Toffolin, L. GRID:grid.9132.9 GRID:grid.470223.0 GRID:grid.5133.4 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/04m8t3f14 ROR:https://ror.org/02n742c10 ROR:https://ror.org/05j3snm48 CERN INFN, Udine Trieste U. INFN, Trieste CERN, European Organization for Nuclear Research, Geneva, Switzerland INFN, Istituto Nazionale di Fisica Nucleare, Gruppo Collegato di Udine, Udine, Italy Università di Trieste, Trieste, Italy Tolosa-Delgado, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Tomás García, R. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Tomasini, T. Unlisted, FR ForestAllia, Cabinet de gestion et d’expertise forestières, Besançon, France Tonelli, G. GRID:grid.6045.7 GRID:grid.5395.a ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, Pisa, Italy Università di Pisa, Pisa, Italy Tong, T. GRID:grid.5836.8 ROR:https://ror.org/02azyry73 Siegen U. Universität Siegen, Siegen, Germany Toral, F. GRID:grid.420019.e ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Madrid, Escuela Tec. Sup. Ing. Ind. CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid, Spain Torims, T. GRID:grid.9132.9 GRID:grid.6973.b ROR:https://ror.org/01ggx4157 ROR:https://ror.org/00twb6c09 CERN Riga Tech. U. CERN, European Organization for Nuclear Research, Geneva, Switzerland RTU, Riga Technical University, Riga, Latvia Torino, L. ICE, Bellaterra CELLS/ALBA, Consortium for the Construction, Equipment and Exploitation of the Synchrotron Light Laboratory, Cerdanyola del Vallès, Spain Torokhtii, K. GRID:grid.8509.4 ROR:https://ror.org/05vf0dg29 Rome III U. Università Roma Tre, Rome, Italy Torre, R. GRID:grid.6045.7 ROR:https://ror.org/02v89pq06 INFN, Genoa INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Genova, Genoa, Italy Torrence, E. GRID:grid.170202.6 ROR:https://ror.org/0293rh119 Oregon U. University of Oregon, Eugene, OR, USA Torres, R. GRID:grid.450757.4 GRID:grid.10025.36 ROR:https://ror.org/02a5smf05 ROR:https://ror.org/027m9bs27 ROR:https://ror.org/04xs57h96 Cockcroft Inst. Accel. Sci. Tech. Manchester U. Liverpool U. CI, Cockcroft Institute, Warrington, UK University of Liverpool, Liverpool, UK Mitsuhashi, T. GRID:grid.410794.f ROR:https://ror.org/01g5y5k24 KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Tracogna, A. Moscow, ITEP CSIL (Economic Research Institute), Milan, Italy Traver, O. ICE, Bellaterra CELLS/ALBA, Consortium for the Construction, Equipment and Exploitation of the Synchrotron Light Laboratory, Cerdanyola del Vallès, Spain Treille, D. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Tricoli, A. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Trubacova, P. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Tsesmelis, E. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Tsipolitis, G. GRID:grid.4241.3 ROR:https://ror.org/03cx6bg69 Natl. Tech. U., Athens NTUA, National Technical University of Athens, Athens, Greece Tsulaia, V. GRID:grid.184769.5 ROR:https://ror.org/02jbv0t02 LBNL, Berkeley LBNL, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Tuchming, B. GRID:grid.457342.3 ROR:https://ror.org/05k705z76 IRFU, Saclay CEA/Irfu, Commissariat à l’Energie Atomique et aux Energies Alternatives, Institut de recherche sur les lois fondamentales de l’Univers, Saclay, France Tully, C.G. GRID:grid.16750.35 ROR:https://ror.org/00hx57361 Princeton U. Princeton University, Princeton, NJ, USA Turk Cakir, I. GRID:grid.7256.6 ROR:https://ror.org/014weej12 Middle East Tech. U., Ankara Ankara Üniversitesi, Ankara, Türkiye Turrioni, C. GRID:grid.6045.7 ROR:https://ror.org/05478fx36 INFN, Perugia INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Perugia, Italy Tynan, J. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Ucci, F.P. GRID:grid.6045.7 GRID:grid.8982.b ROR:https://ror.org/01st30669 ROR:https://ror.org/00s6t1f81 INFN, Pavia Brescia U. Pavia U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Pavia, Italy Università di Pavia, Pavia, Italy Udongwo, S. GRID:grid.10493.3f ROR:https://ror.org/03zdwsf69 Rostock U. Universität Rostock, Rostock, Germany Ün, C.S. GRID:grid.34538.39 ROR:https://ror.org/03tg3eb07 Uludag U. Bursa Uludağ Üniversitesi, Bursa, Türkiye Unnervik, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Upegui, A. GRID:grid.5681.a ROR:https://ror.org/01swzsf04 Geneva U. Dortmund U. HEPIA, Haute École du Paysage, d’Ingénierie et d’Architecture de Genève, Geneva, Switzerland HES-SO University of Applied Sciences and Arts Western Switzerland, Geneva, Switzerland Uribe-Ramírez, J.P. GRID:grid.412863.a Sinaloa U. UAS, Universidad Autónoma de Sinaloa, Culiacán, Mexico Uythoven, J. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Vaglio, R. GRID:grid.4691.a GRID:grid.5326.2 Naples U. CNR, INO, Pisa Università di Napoli Federico II, Naples, Italy CNR-SPIN, Consiglio Nazionale delle Ricerche, Genoa, Italy Valchkova-Georgieva, F. Unlisted, CH CEGELEC SA, Geneva, Switzerland Valente, P. GRID:grid.6045.7 ROR:https://ror.org/05eva6s33 INFN, Rome INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Roma, Rome, Italy Valente, R.U. GRID:grid.6045.7 ROR:https://ror.org/05eva6s33 INFN, Rome INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Roma, Rome, Italy Valente-Feliciano, A.-M. GRID:grid.450315.6 ROR:https://ror.org/02vwzrd76 Jefferson Lab JLAB, Thomas Jefferson National Accelerator Facility, Newport News, VA, USA Valentino, G. GRID:grid.9132.9 GRID:grid.4462.4 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/03a62bv60 CERN Malta U. CERN, European Organization for Nuclear Research, Geneva, Switzerland University of Malta, Msida, Malta Valerio-Lizarraga, C.A. GRID:grid.412863.a GRID:grid.412891.7 ROR:https://ror.org/058cjye32 Sinaloa U. Guanajuato U. UAS, Universidad Autónoma de Sinaloa, Culiacán, Mexico UGTO, Universidad de Guanajuato, Guanajuato, Mexico Valette, S. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Valle, J.W.F. GRID:grid.470047.0 ROR:https://ror.org/017xch102 Valencia U., IFIC IFIC-CSIC/UV, Instituto de Física Corpuscular, Consejo Superior de Investigaciones Científicas/Universidad de Valencia, Valencia, Spain Valle, L. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Valle, N. GRID:grid.6045.7 ROR:https://ror.org/01st30669 INFN, Pavia Brescia U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Pavia, Italy Vallis, N. GRID:grid.9132.9 GRID:grid.5991.4 GRID:grid.5333.6 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/03eh3y714 ROR:https://ror.org/02s376052 ROR:https://ror.org/02v51f717 CERN PSI, Villigen Ecole Polytechnique, Lausanne Peking U., Beijing CERN, European Organization for Nuclear Research, Geneva, Switzerland PSI, Paul Scherrer Institute, Villigen, Switzerland EPFL, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Vallone, G. GRID:grid.184769.5 ROR:https://ror.org/02jbv0t02 LBNL, Berkeley LBNL, Lawrence Berkeley National Laboratory, Berkeley, CA, USA van Gemmeren, P. GRID:grid.187073.a ROR:https://ror.org/05gvnxz63 Argonne ANL, Argonne National Laboratory, Lemont, IL, USA Van Goethem, W. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland van Hees, P. GRID:grid.4514.4 ROR:https://ror.org/012a77v79 Lund U. (main) Lund University, Lund, Sweden van Rienen, U. GRID:grid.10493.3f ROR:https://ror.org/03zdwsf69 Rostock U. Universität Rostock, Rostock, Germany van Riesen-Haupt, L. GRID:grid.9132.9 GRID:grid.5333.6 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/02s376052 ROR:https://ror.org/02v51f717 CERN Ecole Polytechnique, Lausanne Peking U., Beijing CERN, European Organization for Nuclear Research, Geneva, Switzerland EPFL, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Van Trappen, P. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Voorde, M. Vande GRID:grid.5037.1 GRID:grid.10548.38 ROR:https://ror.org/026vcq606 ROR:https://ror.org/05f0yaq80 ROR:https://ror.org/05f0yaq80 Royal Inst. Tech., Stockholm Stockholm U., OKC Stockholm U. KTH, Royal Institute of Technology, Stockholm, Sweden OKC, Oskar Klein Centre for Cosmoparticle Physics, Stockholm, Sweden Vanel, A.L. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Varnes, E.W. GRID:grid.134563.6 ROR:https://ror.org/03m2x1q45 Arizona U. University of Arizona, Tucson, AZ, USA Vay, J.-L. GRID:grid.184769.5 ROR:https://ror.org/02jbv0t02 LBNL, Berkeley LBNL, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Veit, F. GRID:grid.469827.6 Ilmenau Tech. U. IML, Fraunhofer-Institut für Materialfluss und Logistik, Dortmund, Germany Veliscek, I. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Veness, R. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Ventura, A. GRID:grid.6045.7 GRID:grid.9906.6 ROR:https://ror.org/00qrf6g60 ROR:https://ror.org/03fc1k060 INFN, Lecce Salento U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Lecce, Lecce, Italy Università del Salento, Lecce, Italy Verdú-Andrés, S. GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven BNL, Brookhaven National Laboratory, Upton, NY, USA Verducci, M. GRID:grid.6045.7 GRID:grid.5395.a ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, Pisa, Italy Università di Pisa, Pisa, Italy Verhaaren, C.B. GRID:grid.253294.b ROR:https://ror.org/047rhhm47 Brigham Young U. Brigham Young University, Provo, UT, USA Vernieri, C. GRID:grid.445003.6 ROR:https://ror.org/05gzmn429 SLAC SLAC National Accelerator Laboratory, Menlo Park, CA, USA Verweij, A.P. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Vian, J.-F. Unlisted, FR Expert foncier et agricole, Chadrat, France Vicini, A. GRID:grid.6045.7 GRID:grid.4708.b ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/01ynf4891 ROR:https://ror.org/03xejxm22 INFN, Milan Milan Bicocca U. INFN, Milan Bicocca INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Università di Milano, Milan, Italy Vignaroli, N. GRID:grid.6045.7 GRID:grid.9906.6 ROR:https://ror.org/00qrf6g60 ROR:https://ror.org/03fc1k060 INFN, Lecce Salento U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Lecce, Lecce, Italy Università del Salento, Lecce, Italy Vignetti, S. Moscow, ITEP CSIL (Economic Research Institute), Milan, Italy Villeneuve, M.C. GRID:grid.181790.6 Unlisted, AT MUL, Montanuniversität Leoben, Lehrstuhl für Subsurface Engineering, Geotechnik und unterirdisches Bauen, Leoben, Austria Vivarelli, I. GRID:grid.6045.7 GRID:grid.6292.f ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/01111rn36 INFN, Bologna U. Bologna (main) INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Bologna, Bologna, Italy Università di Bologna, Bologna, Italy Voevodina, E. GRID:grid.9132.9 GRID:grid.435824.c ROR:https://ror.org/01ggx4157 ROR:https://ror.org/00e4bwe12 CERN Garching, Max Planck Inst., MPE CERN, European Organization for Nuclear Research, Geneva, Switzerland MPP, Max-Planck-Institut für Physik Garching, Garching, Germany Vogt, D.M. GRID:grid.5719.a Stuttgart U. ITSM, Institut für Thermische Strömungsmaschinen und Maschinenlaboratorium, Universität Stuttgart, Stuttgart, Germany Voirin, B. GRID:grid.15140.31 ROR:https://ror.org/04zmssz18 Lyon, Ecole Normale Superieure École Normale Supérieure de Lyon, Lyon, France Voiriot, S. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Voiron, J. CERN ADAM, Geneva WSP Ingénieurs Conseils SA, Geneva, Switzerland Vojtyla, P. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Völkl, V. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland von Freeden, L. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Vostrel, Z. GRID:grid.9132.9 GRID:grid.6652.7 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/03kqpb082 CERN Prague, Tech. U. CERN, European Organization for Nuclear Research, Geneva, Switzerland CTU, Czech Technical University, Prague, Czech Republic Voumard, N. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Vryonidou, E. GRID:grid.5379.8 ROR:https://ror.org/027m9bs27 U. Manchester (main) University of Manchester, Manchester, UK Vysotsky, V. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, Geneva, Switzerland Wallny, R. GRID:grid.5801.c ROR:https://ror.org/05a28rw58 ETH, Zurich (main) ETHZ, Swiss Federal Institute of Technology Zurich, Zurich, Switzerland Wang, L.-T. GRID:grid.170205.1 ROR:https://ror.org/024mw5h28 Chicago U. University of Chicago, Chicago, IL, USA Wang, Y. GRID:grid.433124.3 GRID:grid.508754.b GRID:grid.508487.6 ROR:https://ror.org/03gc1p724 IJCLab, Orsay CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IJCLab, Laboratoire de Physique des 2 Infinis Irène Joliot Curie, Orsay, France Université Paris-Saclay et Université Paris-Cité, Paris, France Wanzenberg, R. GRID:grid.7683.a ROR:https://ror.org/01js2sh04 DESY DESY, Deutsches Elektronen-Synchrotron, Hamburg, Germany Ward, B.F.L. GRID:grid.252890.4 ROR:https://ror.org/005781934 Baylor U. Baylor University, Waco, TX, USA Wardle, N. GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London Imperial College London, London, UK Wa̧s, Z. GRID:grid.413454.3 ROR:https://ror.org/01n78t774 Cracow, INP IFJ PAN, Institute of Nuclear Physics, Polish Academy of Sciences, Kraków, Poland Watrelot, L. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Watson, A.T. GRID:grid.6572.6 ROR:https://ror.org/03angcq70 Birmingham U. University of Birmingham, Birmingham, UK Watson, M.F. GRID:grid.6572.6 ROR:https://ror.org/03angcq70 Birmingham U. University of Birmingham, Birmingham, UK Weber, M.S. GRID:grid.5734.5 ROR:https://ror.org/02k7v4d05 Bern U. UNIBE, University of Bern, Bern, Switzerland Welsch, C.P. GRID:grid.450757.4 GRID:grid.10025.36 ROR:https://ror.org/02a5smf05 ROR:https://ror.org/027m9bs27 ROR:https://ror.org/04xs57h96 Cockcroft Inst. Accel. Sci. Tech. Manchester U. Liverpool U. CI, Cockcroft Institute, Warrington, UK University of Liverpool, Liverpool, UK Wendt, M. GRID:grid.9132.9 GRID:grid.202665.5 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/02ex6cf31 CERN Brookhaven CERN, European Organization for Nuclear Research, Geneva, Switzerland BNL, Brookhaven National Laboratory, Upton, NY, USA Wenninger, J. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Weyer, B. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland White, G. GRID:grid.5491.9 ROR:https://ror.org/01ryk1543 Southampton U. University of Southampton, Southampton, UK White, S. GRID:grid.5398.7 ROR:https://ror.org/02550n020 ESRF, Grenoble ESRF, European Synchrotron Radiation Facility, Grenoble, France Wicki, B. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Widorski, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Wiedemann, U.A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Wiederhold, A.R. GRID:grid.5379.8 ROR:https://ror.org/027m9bs27 U. Manchester (main) University of Manchester, Manchester, UK Wiedl, A. GRID:grid.7892.4 ROR:https://ror.org/04t3en479 KIT, Karlsruhe, IKP KIT, Karlsruher Institut für Technologie, Karlsruhe, Germany Wienands, H.-U. GRID:grid.187073.a ROR:https://ror.org/05gvnxz63 Argonne ANL, Argonne National Laboratory, Lemont, IL, USA Wieser, A. GRID:grid.5801.c ROR:https://ror.org/05a28rw58 ETH, Zurich (main) ETHZ, Swiss Federal Institute of Technology Zurich, Zurich, Switzerland Wiesner, C. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Wilkens, H. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Willi, D. Unlisted, CH Swisstopo, Federal Office of Topography, Wabern, Switzerland Williams, P.H. GRID:grid.450757.4 GRID:grid.14467.30 ROR:https://ror.org/02a5smf05 ROR:https://ror.org/027m9bs27 Cockcroft Inst. Accel. Sci. Tech. Manchester U. CI, Cockcroft Institute, Warrington, UK Daresbury Laboratory, Science and Technology Facilities Council, Daresbury, UK Williams, S.L. GRID:grid.5335.0 ROR:https://ror.org/013meh722 Cambridge U. University of Cambridge, Cambridge, UK Winter, A. GRID:grid.6572.6 ROR:https://ror.org/03angcq70 Birmingham U. University of Birmingham, Birmingham, UK Wittwer, R.B. GRID:grid.7400.3 ROR:https://ror.org/02crff812 Zurich U. Universität Zürich, Zurich, Switzerland Wollmann, D. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Wu, Y. GRID:grid.5333.6 ROR:https://ror.org/02s376052 ROR:https://ror.org/02v51f717 Ecole Polytechnique, Lausanne Peking U., Beijing EPFL, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Wu, Z. GRID:grid.433124.3 GRID:grid.450330.1 GRID:grid.5388.6 ROR:https://ror.org/049nhh297 Annecy, LAPP CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LAPP, Laboratoire d’Annecy de Physique des Particules, Annecy, France Université Savoie Mont Blanc, Annecy, France Xiao, J. GRID:grid.433124.3 GRID:grid.7849.2 ROR:https://ror.org/02avf8f85 IP2I, Lyon CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IP2I, Institut de Physique des 2 Infinis de Lyon, Lyon, France Université Claude Bernard Lyon 1, Lyon, France Xie, K. GRID:grid.17088.36 ROR:https://ror.org/05hs6h993 Michigan State U. Michigan State University, East Lansing, MI, USA Xie, S. GRID:grid.417851.e GRID:grid.20861.3d ROR:https://ror.org/020hgte69 ROR:https://ror.org/05dxps055 Fermilab Caltech FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Caltech, California Institute of Technology, Pasadena, CA, USA Yalvac, M. GRID:grid.411743.4 ROR:https://ror.org/04qvdf239 Yozgat Bozok U. Yozgat Bozok Üniversitesi, Yozgat, Türkiye Yaman, F. GRID:grid.14467.30 GRID:grid.419609.3 ROR:https://ror.org/02a5smf05 ROR:https://ror.org/03stptj97 Cockcroft Inst. Accel. Sci. Tech. Izmir Inst. Tech. Daresbury Laboratory, Science and Technology Facilities Council, Daresbury, UK IZTECH, Izmir Yüksek Teknoloji Enstitüsü, Izmir, Türkiye Yao, W.-M. GRID:grid.184769.5 ROR:https://ror.org/02jbv0t02 LBNL, Berkeley LBNL, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Yeresko, M. GRID:grid.433124.3 GRID:grid.470921.9 GRID:grid.494717.8 ROR:https://ror.org/0214k6v65 LPC, Clermont-Ferrand CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France LPCA, Laboratoire de Physique de Clermont Auvergne, Clermont-Ferrand, France Université Clermont Auvergne, Clermont-Ferrand, France Yilmaz, A. GRID:grid.411082.e ROR:https://ror.org/01x1kqx83 Abant Izzet Baysal U. IBU, Bolu Abant İzzet Baysal Üniversitesi, Bolu, Türkiye Yoo, H.D. GRID:grid.15444.30 ROR:https://ror.org/01wjejq96 Yonsei U. YU, Yonsei University, Seoul, Republic of Korea You, T. GRID:grid.13097.3c ROR:https://ror.org/0220mzb33 King's Coll. London King’s College London, London, UK Yu, F. GRID:grid.5802.f GRID:grid.517349.d ROR:https://ror.org/023b0x485 ROR:https://ror.org/023b0x485 Mainz U. U. Mainz, PRISMA Johannes Gutenberg Universität Mainz, Mainz, Germany PRISMA+ Cluster of Excellence, Mainz, Germany Yu, S.S. GRID:grid.39936.36 ROR:https://ror.org/047yk3s18 Catholic U. Catholic University of America, Washington, DC, USA Yu, T.-T. GRID:grid.170202.6 ROR:https://ror.org/0293rh119 Oregon U. University of Oregon, Eugene, OR, USA Yue, S. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Zaborowska, A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Zahnd, M. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Zamantzas, C. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Zanderighi, G. GRID:grid.6936.a GRID:grid.435824.c ROR:https://ror.org/02kkvpp62 ROR:https://ror.org/00e4bwe12 Munich, Tech. U. Garching, Max Planck Inst., MPE Technische Universität München, Munich, Germany MPP, Max-Planck-Institut für Physik Garching, Garching, Germany Zannini, C. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Zanzottera, R. GRID:grid.6045.7 GRID:grid.4708.b ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/01ynf4891 ROR:https://ror.org/03xejxm22 INFN, Milan Milan Bicocca U. INFN, Milan Bicocca INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy Università di Milano, Milan, Italy Zaro, P. Unlisted, FR SETEC ALS, Société d’ingénierie conseil en infrastructures de transport, génie civil et environnement, Lyon, France Zennaro, R. GRID:grid.5991.4 ROR:https://ror.org/03eh3y714 PSI, Villigen PSI, Paul Scherrer Institute, Villigen, Switzerland Zerlauth, M. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Zhang, H. GRID:grid.9227.e ROR:https://ror.org/05qbk4x57 Beijing, GUCAS IHEP, Chinese Academy of Sciences, Beijing, People’s Republic of China Zhang, J. GRID:grid.187073.a ROR:https://ror.org/05gvnxz63 Argonne ANL, Argonne National Laboratory, Lemont, IL, USA Zhang, Y. GRID:grid.9227.e ROR:https://ror.org/05qbk4x57 Beijing, GUCAS IHEP, Chinese Academy of Sciences, Beijing, People’s Republic of China Zhang, Z. GRID:grid.433124.3 GRID:grid.508754.b GRID:grid.9227.e ROR:https://ror.org/03gc1p724 ROR:https://ror.org/05qbk4x57 IJCLab, Orsay Beijing, GUCAS CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IJCLab, Laboratoire de Physique des 2 Infinis Irène Joliot Curie, Orsay, France IHEP, Chinese Academy of Sciences, Beijing, People’s Republic of China Zhao, Y. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Zhong, Y.-M. GRID:grid.35030.35 ROR:https://ror.org/03q8dnn23 Hong Kong, City U. City University of Hong Kong, Hong Kong, Hong Kong Zhou, B. GRID:grid.214458.e ROR:https://ror.org/00jmfr291 Michigan U. University of Michigan, Ann Arbor, MI, USA Zhou, D. GRID:grid.410794.f ROR:https://ror.org/01g5y5k24 KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Zhu, J. GRID:grid.214458.e ROR:https://ror.org/00jmfr291 Michigan U. University of Michigan, Ann Arbor, MI, USA Zick, G. Unlisted, FR Air Liquide Advanced Technologies, Grenoble, France Zielinski, M.A. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, European Organization for Nuclear Research, Geneva, Switzerland Zimmermann, E. Cadi Ayyad U., Marrakech ECOTEC Environnement SA, Bureau d’études et de conseil en environnement, Geneva, Switzerland Zingaretti, A. GRID:grid.6045.7 GRID:grid.5608.b ROR:https://ror.org/00z34yn88 ROR:https://ror.org/00240q980 INFN, Padua Padua U. INFN, Istituto Nazionale di Fisica Nucleare, Sezione di Padova, Padua, Italy Università di Padova, Padua, Italy Zinn-Justin, J. GRID:grid.457342.3 ROR:https://ror.org/05k705z76 IRFU, Saclay CEA/Irfu, Commissariat à l’Energie Atomique et aux Energies Alternatives, Institut de recherche sur les lois fondamentales de l’Univers, Saclay, France Zlobin, A.V. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Zobov, M. GRID:grid.463190.9 ROR:https://ror.org/049jf1a25 Frascati INFN, Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati, Frascati, Italy Zomer, F. GRID:grid.433124.3 GRID:grid.508754.b GRID:grid.508487.6 ROR:https://ror.org/03gc1p724 IJCLab, Orsay CNRS/IN2P3, Centre National de la Recherche Scientifique, Institut National de Physique Nucléaire et de Physique des Particules, Paris, France IJCLab, Laboratoire de Physique des 2 Infinis Irène Joliot Curie, Orsay, France Université Paris-Saclay et Université Paris-Cité, Paris, France Zorzetti, S. GRID:grid.417851.e ROR:https://ror.org/020hgte69 Fermilab FNAL, Fermi National Accelerator Laboratory, Batavia, IL, USA Zuo, X. GRID:grid.7892.4 ROR:https://ror.org/04t3en479 KIT, Karlsruhe, IKP KIT, Karlsruher Institut für Technologie, Karlsruhe, Germany Zurita, J. GRID:grid.470047.0 ROR:https://ror.org/017xch102 Valencia U., IFIC IFIC-CSIC/UV, Instituto de Física Corpuscular, Consejo Superior de Investigaciones Científicas/Universidad de Valencia, Valencia, Spain Zutshi, V.V. GRID:grid.261128.e ROR:https://ror.org/012wxa772 Northern Illinois U. NIU, Northern Illinois University, DeKalb, IL, USA Zykova, M. GRID:grid.5991.4 ROR:https://ror.org/03eh3y714 PSI, Villigen PSI, Paul Scherrer Institute, Villigen, Switzerland FCC Collaboration 5113-5383 publication 17 Eur. Phys. J. Spec. Top. 234 2025 French version CERN-FCC-ACC-2025-0008 2935019 https://lss.fnal.gov/archive/2025/pub/fermilab-pub-25-0911-ppd-td.pdf Fermilab Open Access 2804614 326281861 http://cds.cern.ch/record/2928194/files/2505.00273v1.pdf 2722161 326253729 http://cds.cern.ch/record/2928194/files/CERN-FCC-ACC-2025-0003.pdf Stamped by WebSubmit: 28/03/2025 2804583 74604675 http://cds.cern.ch/record/2928194/files/s11734-025-01958-5_compressed.pdf Fulltext 2804614 68021 http://cds.cern.ch/record/2928194/files/2505.00273v1.gif?subformat=icon icon 2804614 69069 http://cds.cern.ch/record/2928194/files/2505.00273v1.jpg?subformat=icon-180 icon-180 2804614 98568 http://cds.cern.ch/record/2928194/files/2505.00273v1.jpg?subformat=icon-1440 icon-1440 2804614 98568 http://cds.cern.ch/record/2928194/files/2505.00273v1.jpg?subformat=icon-640 icon-640 2804614 98568 http://cds.cern.ch/record/2928194/files/2505.00273v1.jpg?subformat=icon-700 icon-700 2805065 102377667 http://cds.cern.ch/record/2928194/files/2505.00273.pdf Fulltext 2821290 1046337 http://cds.cern.ch/record/2928194/files/document.pdf Fulltext 2722161 67467 http://cds.cern.ch/record/2928194/files/CERN-FCC-ACC-2025-0003.gif?subformat=icon icon Stamped by WebSubmit: 28/03/2025 2722161 68118 http://cds.cern.ch/record/2928194/files/CERN-FCC-ACC-2025-0003.jpg?subformat=icon-180 icon-180 Stamped by WebSubmit: 28/03/2025 2722161 93858 http://cds.cern.ch/record/2928194/files/CERN-FCC-ACC-2025-0003.jpg?subformat=icon-1440 icon-1440 Stamped by WebSubmit: 28/03/2025 2722161 93858 http://cds.cern.ch/record/2928194/files/CERN-FCC-ACC-2025-0003.jpg?subformat=icon-640 icon-640 Stamped by WebSubmit: 28/03/2025 2722161 93858 http://cds.cern.ch/record/2928194/files/CERN-FCC-ACC-2025-0003.jpg?subformat=icon-700 icon-700 Stamped by WebSubmit: 28/03/2025 johannes.gutleber@cern.ch gutleber@cern.ch 28 Mar 2025 Approval Request as a Note n 202570 106 13 PUBLIC REPORT ARTICLE 2928130 20260313143518.0 oai:cds.cern.ch:2928130 cerncds:TALK eng Indico 6798 CERN. Geneva CERN Tape Archive Workshop : CTA 2025 CERN - 40/S2-D01 - Salle Dirac 2025-03-27T09:15:00 2025-03-27T09:45:00 1483636c11 CERN Perspective on Tape Technology Evolution 2025 2025-03-27 2350 Streaming video HEP Computing CERN Tape Archive Workshop : CTA 2025 2025-03-27T09:15:00 <!--HTML-->With LHC now in the middle of Run 3, we will present our current tape hardware setup and present our experience with the different components of the technology. We will start with a reflection on the evolution of our capacity planning vs. increasing storage requirements of the experiments. We will then report on performance characteristics of both LTO9 and TS1170 tape drives: RAO, environmental aspects and how the technology evolution is impacting our operations. Lastly, we will share our thoughts about rack size scale-out tape libraries and consideration to replace FC with SAS. CERN 2025 HEP Computing Event TALK CERN Bahyl, Vladimir speaker CERN https://indico.cern.ch/event/1483636/contributions/6379741/ Talk details https://indico.cern.ch/event/1483636/ Event details MediaArchive /mnt/master_share/master_data/2025/1483636c11 Absolute master path MediaArchive https://lecturemedia.cern.ch/2025/1483636c11/1483636c11-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 124364 MediaArchive https://lecturemedia.cern.ch/2025/1483636c11/1483636c11-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 759940 MediaArchive https://lecturemedia.cern.ch/2025/1483636c11/1483636c11-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 295219 MediaArchive https://lecturemedia.cern.ch/2025/1483636c11/1483636c11-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1361692 MediaArchive https://lecturemedia.cern.ch/2025/1483636c11/1483636c11-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 2488285 MediaArchive https://lecturemedia.cern.ch/2025/1483636c11/1483636c11-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 880965 MediaArchive https://lecturemedia.cern.ch/2025/1483636c11/1483636c11-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 276742 MediaArchive https://lecturemedia.cern.ch/2025/1483636c11/1483636c11-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 84633 michael.davis@cern.ch Davis, Michael CERN 2024-11-27T07:53:08 2025-03-27T17:05:04 PUBLIC INDICO.1483636c11 https://videos.cern.ch/legacy/record/2928130 Indico CMTE MIGRATED 2928095 SzGeCERN 20250401215113.0 oai:cds.cern.ch:2928095 cerncds:cms-notes cerncds:FULLTEXT CMS-NOTE-2025-005 eng CERN-CMS-NOTE-2025-005 CMS Offline Software YY XX CMS Offline Software and Computing input to the European Strategy for Particle Physics - 2026 update 2025 Geneva CERN 27 Mar 2025 14 p This document outlines the CMS Offline Software and Computing strategy in preparation for the High-Luminosity LHC (HL-LHC) era and serves as input to the 2026 update of the European Strategy for Particle Physics. As CMS faces a significant increase in data volume, event complexity, and computing demands in Phase-2, this report details the necessary evolution of software, computing models, infrastructure, and sustainability practices. Key developments include optimizing the CMSSW framework for heterogeneous architectures, expanding the use of AI/ML in simulation and reconstruction, adopting container-based analysis environments, and improving storage efficiency through hybrid models. The document emphasizes collaborative development across the HEP community, the need for sustainable computing aligned with environmental goals, and securing long-term resource commitments, especially from HPC centers, to ensure the success of CMSs scientific program and its broader impact on future experiments. CERN EDS SzGeCERN Detectors and Experimental Techniques CMS Computing INTNOTE CERN PUBLCMS CERN LHC CMS Computing YY XX PH n 202513 PUBLIC INTNOTECMSPUBL NOTE 2927926 20260313143513.0 oai:cds.cern.ch:2927926 cerncds:TALK eng Indico 2987 CERN. Geneva Inverted CERN School of Computing 2025 CERN - 31/3-004 - IT Amphitheatre 2025-03-25T11:30:00 2025-03-25T12:30:00 1468713c42 Reinforcement Learning in Particle Accelerators: a practical example (2/2) 2025 2025-03-25 3797 Streaming video Inverted CSC Inverted CERN School of Computing 2025 2025-03-25T11:30:00 <!--HTML--># Proposal: Reinforcement Learning for Particle Accelerator control: A real-world example ## Hour 1: Introduction to Reinforcement Learning for Particle Accelerators - **Basic Concepts**: - Overview of Reinforcement Learning (RL) fundamentals. - Definitions and distinctions: - Model-free vs. model-based. - Off-policy vs. on-policy approaches. - **Applications and Considerations**: - Discussion of problem types and environmental variables affecting model selection in practical scenarios. - Analysis of drawbacks and benefits of different RL architectures. - **Practical examples**: - Real-world examples of RL in particle accelerators (e.g., CERN). - Case study introduction: Optimization of RF triple splittings in the Proton Synchrotron (PS). ## Hour 2: Optimizing RF Triple Splittings with Reinforcement Learning - **Problem Definition**: - Explanation of PS RF operations and the triple splitting optimization challenge for LHC-type beams. - Overview of the physics and parameters involved in optimization. - **Optimization Approach**: - Justification for choosing RL and specific RL architectures. - Step-by-step walkthrough: - Initial simulations and trials. - Challenges and lessons learned. - Final operational solution deployed in the control room. ## Exercise Session: Training RL Agents for RF Optimization (1 hour) - **Objective**: - Train RL agents to optimize RF double splitting settings in simulation for improved beam quality. - **Implementation**: - Use SWAN notebooks with provided skeleton code. - Define a custom gymnasium environment for the double splitting problem, given: - Pre-implemented simulation data loaders. - Basic loss function for optimization. CERN 2025 Inverted CSC Event TALK CERN Wulff, Joel Axel speaker https://indico.cern.ch/event/1468713/contributions/6369071/ Talk details https://indico.cern.ch/event/1468713/ Event details MediaArchive /mnt/master_share/master_data/2025/1468713c42 Absolute master path MediaArchive https://lecturemedia.cern.ch/2025/1468713c42/1468713c42-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 838256 MediaArchive https://lecturemedia.cern.ch/2025/1468713c42/1468713c42-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 501323 MediaArchive https://lecturemedia.cern.ch/2025/1468713c42/1468713c42-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 203327 MediaArchive https://lecturemedia.cern.ch/2025/1468713c42/1468713c42-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 91835 MediaArchive https://lecturemedia.cern.ch/2025/1468713c42/1468713c42-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 2440226 MediaArchive https://lecturemedia.cern.ch/2025/1468713c42/1468713c42-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 84026 MediaArchive https://lecturemedia.cern.ch/2025/1468713c42/1468713c42-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 865152 MediaArchive https://lecturemedia.cern.ch/2025/1468713c42/1468713c42-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 267204 kristina.ulrika.gunne@cern.ch 2024-10-16T07:56:03 2025-03-26T10:58:43 PUBLIC INDICO.1468713c42 https://videos.cern.ch/legacy/record/2927926 Indico SSW MIGRATED 2927925 20260313143655.0 oai:cds.cern.ch:2927925 cerncds:TALK eng Indico 2987 CERN. Geneva Inverted CERN School of Computing 2025 CERN - 31/3-004 - IT Amphitheatre 2025-03-25T10:00:00 2025-03-25T11:00:00 1468713c14 Reinforcement Learning in Particle Accelerators: a practical example (1/2) 2025 2025-03-25 3242 Streaming video Inverted CSC Inverted CERN School of Computing 2025 2025-03-25T10:00:00 <!--HTML--># Proposal: Reinforcement Learning for Particle Accelerator control: A real-world example ## Hour 1: Introduction to Reinforcement Learning for Particle Accelerators - **Basic Concepts**: - Overview of Reinforcement Learning (RL) fundamentals. - Definitions and distinctions: - Model-free vs. model-based. - Off-policy vs. on-policy approaches. - **Applications and Considerations**: - Discussion of problem types and environmental variables affecting model selection in practical scenarios. - Analysis of drawbacks and benefits of different RL architectures. - **Practical examples**: - Real-world examples of RL in particle accelerators (e.g., CERN). - Case study introduction: Optimization of RF triple splittings in the Proton Synchrotron (PS). ## Hour 2: Optimizing RF Triple Splittings with Reinforcement Learning - **Problem Definition**: - Explanation of PS RF operations and the triple splitting optimization challenge for LHC-type beams. - Overview of the physics and parameters involved in optimization. - **Optimization Approach**: - Justification for choosing RL and specific RL architectures. - Step-by-step walkthrough: - Initial simulations and trials. - Challenges and lessons learned. - Final operational solution deployed in the control room. ## Exercise Session: Training RL Agents for RF Optimization (1 hour) - **Objective**: - Train RL agents to optimize RF double splitting settings in simulation for improved beam quality. - **Implementation**: - Use SWAN notebooks with provided skeleton code. - Define a custom gymnasium environment for the double splitting problem, given: - Pre-implemented simulation data loaders. - Basic loss function for optimization. CERN 2025 Inverted CSC Event TALK CERN Wulff, Joel Axel speaker https://indico.cern.ch/event/1468713/contributions/6368982/ Talk details https://indico.cern.ch/event/1468713/ Event details MediaArchive /mnt/master_share/master_data/2025/1468713c14 Absolute master path MediaArchive https://lecturemedia.cern.ch/2025/1468713c14/1468713c14-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 182651 MediaArchive https://lecturemedia.cern.ch/2025/1468713c14/1468713c14-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 447205 MediaArchive https://lecturemedia.cern.ch/2025/1468713c14/1468713c14-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 84681 MediaArchive https://lecturemedia.cern.ch/2025/1468713c14/1468713c14-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 749697 MediaArchive https://lecturemedia.cern.ch/2025/1468713c14/1468713c14-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 894989 MediaArchive https://lecturemedia.cern.ch/2025/1468713c14/1468713c14-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 278352 MediaArchive https://lecturemedia.cern.ch/2025/1468713c14/1468713c14-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 2439624 MediaArchive https://lecturemedia.cern.ch/2025/1468713c14/1468713c14-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 85822 kristina.ulrika.gunne@cern.ch 2024-10-16T07:56:03 2025-03-26T10:57:40 PUBLIC INDICO.1468713c14 https://videos.cern.ch/legacy/record/2927925 Indico SSW MIGRATED 2927871 20250402170909.0 oai:cds.cern.ch:2927871 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2503.09213 oai:inspirehep.net:2899351 https://inspirehep.net/api/oai2d Inspire 2025-03-26T20:06:52Z 2025-03-27T03:00:17Z marcxml true Inspire 2899351 arXiv arXiv:2503.09213 physics.comp-ph eng Al-Turany, Mohammad Darmstadt, GSI GSI Helmholtzzentrum für Schwerionenforschung, Germany arXiv JENA Computing Initiative WP2 Report: Software and Heterogeneous Architectures 2025-03-12 22 p arXiv The scientific communities of nuclear, particle, and astroparticle physics are continuing to advance and are facing unprecedented software challenges due to growing data volumes, complex computing needs, and environmental considerations. As new experiments emerge, software and computing needs must be recognised and integrated early in design phases. This document synthesises insights from ECFA, NuPECC and APPEC, representing particle physics, nuclear physics, and astroparticle physics, and presents collaborative strategies for improving software, computing frameworks, infrastructure, and career development within these fields. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ HAL nucl-ex arXiv Nuclear Physics - Experiment SzGeCERN hep-ex arXiv Particle Physics - Experiment SzGeCERN astro-ph.HE arXiv Astrophysics and Astronomy SzGeCERN physics.comp-ph arXiv Other Fields of Physics SzGeCERN CERN PREPRINT Chamont, David IJCLab, Orsay IJCLab, France Costanzo, Davide Sheffield U. University of Sheffield, UK Doglioni, Caterina U. Manchester (main) University of Manchester, UK Helstrup, Håvard Bergen U. Western Norway University of Applied Sciences, Bergen, Norway Khélifi, Bruno APC, Paris CNRS/IN2P3, France Kuhr, Thomas Munich U. Ludwig-Maximilians-Universität München, Germany Laycock, Paul Geneva Observ. Geneva U. Département d'Astronomie, Université de Genève, Chemin Pegasi 51, Versoix, Switzerland Gravitational Wave Science Center (GWSC), Université de Genève, Geneva, Switzerland Matta, Adrien LPC, Caen Université de Caen Normandie, ENSICAEN, CNRS/IN2P3, LPC Caen UMR6534, F-14000 Caen, France Santos, Eva Prague, Inst. Phys. FZU -Institute of Physics of the Czech Academy of Sciences, Czech Republic Pico, Luis Sarmiento Lund U. (main) Lund University, Sweden Schüssler, Fabien IRFU, Saclay IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France Smirnova, Oxana Lund U. (main) Lund University, Sweden Stewart, Graeme A. CERN European Organisation for Nuclear Research, CERN, Switzerland Stoicea, Gabriel Bucharest, IFIN-HH IFIN-HH, Romania Teodorescu, Liliana Brunel U. Brunel University of London, UK Weniger, Christoph Amsterdam U., Inst. Math. Amsterdam University, Netherlands 2720832 124670 http://cds.cern.ch/record/2927871/files/Figure4.png 00005 ATLAS projected evolution of compute usage from 2020 until 2036, under the conservative (blue) and aggressive (red) R\&D scenarios~\cite{CERN-LHCC-2022-005}. The grey hatched shading between the red and blue lines illustrates the range of resources consumption if the aggressive scenario is only partially achieved. The black lines indicate the impact of sustained year-on-year budget increases, and improvements in new hardware, that together amount to a capacity increase of 10\% (lower line) and 20\% (upper line). The vertical shaded bands indicate periods during which ATLAS will be taking data (not yet updated to the latest HL-LHC planning). Similar plots for the CMS experiment are available~\cite{Software:2815292}. 2720833 715178 http://cds.cern.ch/record/2927871/files/2503.09213.pdf Fulltext 2720834 18626 http://cds.cern.ch/record/2927871/files/50-years-processor-trend.png 00006 Microprocessor trends over the last half century, from~\cite{KRupp_Microprocessor_Data}. 2720835 60021 http://cds.cern.ch/record/2927871/files/Figure3a.png 00003 ATLAS projected evolution in exabytes of disk (left) and tape (right) usage from 2020 until 2036, under the conservative (blue) and aggressive (red) R\&D scenarios~\cite{CERN-LHCC-2022-005}. The grey hatched shading between the red and blue lines illustrates the range of resources consumption if the aggressive scenario is only partially achieved. The black lines indicate the impact of sustained year-on-year budget increases, and improvements in new hardware, that together amount to a capacity increase of 10\% (lower line) and 20\% (upper line). The vertical shaded bands indicate periods during which ATLAS will be taking data (not yet updated to the latest HL-LHC planning). Similar plots for the CMS experiment are available~\cite{Software:2815292}. 2720836 50371 http://cds.cern.ch/record/2927871/files/Figure3b.png 00004 ATLAS projected evolution in exabytes of disk (left) and tape (right) usage from 2020 until 2036, under the conservative (blue) and aggressive (red) R\&D scenarios~\cite{CERN-LHCC-2022-005}. The grey hatched shading between the red and blue lines illustrates the range of resources consumption if the aggressive scenario is only partially achieved. The black lines indicate the impact of sustained year-on-year budget increases, and improvements in new hardware, that together amount to a capacity increase of 10\% (lower line) and 20\% (upper line). The vertical shaded bands indicate periods during which ATLAS will be taking data (not yet updated to the latest HL-LHC planning). Similar plots for the CMS experiment are available~\cite{Software:2815292}. 2720837 88086 http://cds.cern.ch/record/2927871/files/Figure1.png 00000 Data rates (Gbytes/day) for several astrophysics experiments~\cite{berghöfer2015modelcomputingeuropeanastroparticle}. 2720838 75248 http://cds.cern.ch/record/2927871/files/Figure2b.png 00002 The required amount of storage as a function of year for the FAIR experiments at GSI. The left panel depicts the requested disk space for fast access, whereas the right panel presents the needed long-term storage space (archive). The contributions of the various research lines are indicated by different colours. The dashed line shows the current storage for FAIR Phase Zero activities. 2720839 61330 http://cds.cern.ch/record/2927871/files/Figure2a.png 00001 The required amount of storage as a function of year for the FAIR experiments at GSI. The left panel depicts the requested disk space for fast access, whereas the right panel presents the needed long-term storage space (archive). The contributions of the various research lines are indicated by different colours. The dashed line shows the current storage for FAIR Phase Zero activities. 11 PREPRINT 2927749 SzGeCERN 20251215204743.0 DOI Elsevier B.V. 10.1016/j.nima.2025.170331 publication oai:cds.cern.ch:2927749 cerncds:CERN cerncds:FULLTEXT cerncds:CERN:FULLTEXT HAL hal-04966852 https://inspirehep.net/api/oai2d oai:inspirehep.net:2894574 2025-03-24T09:21:33Z 2025-03-25T05:00:06Z marcxml Inspire 2894574 eng Rigoletti, Gianluca gianluca.rigoletti@cern.ch CERN Elsevier B.V. Towards sustainable RPC detectors: Exploring CO2-based gas mixtures for CERN LHC experiments 2025 5 p Elsevier B.V. Resistive Plate Chamber detectors at the CERN LHC experiments use a Freon-based gas mixture containing R-134a and SF6, high global warming potential greenhouse gases. To minimize greenhouse gas emissions and expenses and optimize RPC performance, it is crucial to research new environmentally friendly gas mixtures. This study aims to understand the properties of adding CO2 to the standard gas mixture as a medium-term solution to reduce greenhouse gas emissions. The gas mixtures tested were chosen to be compatible with the current CERN HPL RPC systems. Detector performance, operational costs, and emissions are key characteristics considered in this research, focused on the potential use of CO2-based gas mixtures in the ATLAS RPC system during LHC Run 3. This research is conducted at the CERN Gamma Irradiation Facility, where a 12 TBq 137Cs source and a muon beam allow emulating the background radiation experienced in the LHC experiments. The set up consists of five, 2 mm single-gap HPL RPCs located on three different positions, placed respectively outside the irradiation bunker, at 5 m and 12 m from the gamma source. The detectors inside the bunker are continuously irradiated for long-term performance studies, aiming to reach the integrated charge expected for ATLAS RPC detectors in LHC Run 3 and for the future High Luminosity LHC phase. Monitoring is performed with various metrics: gas analysis, oxygen, humidity, dose, environmental parameters, and flow measurements to ensure the correct operation of the gas system. Throughout the study, three test beam periods are used to evaluate the muon performance parameters for the targeted gas mixtures: efficiency, current, streamer probability, mean prompt charge, cluster size, and time resolution. Preliminary aging tests with the addition of 30% CO2 show performances closely aligned with the Standard Gas Mixture. In addition to long-term studies, muon beam performance was evaluated with higher amounts of CO2 in the mixture, aiming at further reducing the consumption of R-134a. publication Elsevier B.V. 2025 For annual report SzGeCERN Detectors and Experimental Techniques Elsevier B.V. Gaseous detectors Elsevier B.V. Resistive-plate chambers Elsevier B.V. Charge induction Elsevier B.V. Radiation damage to detector materials (gas detectors) Elsevier B.V. Gas systems and purification ARTICLE CERN Guida, Roberto CERN Mandelli, Beatrice CERN Verzeroli, Mattia IP2I, Lyon Juks, Stefania A U. Paris-Saclay 170331 publication Nucl. Instrum. Methods Phys. Res., A 1075 C23-11-06.1 2025 13 2892786 170331 cern20231106 ARTICLE ConferencePaper 2927529 20260418041442.0 oai:cds.cern.ch:2927529 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI IOP 10.1088/1748-0221/20/08/P08030 arXiv oai:arXiv.org:2503.15247 oai:inspirehep.net:2901900 https://inspirehep.net/api/oai2d Inspire 2026-04-17T08:18:35Z 2026-04-18T02:00:05Z marcxml true Inspire 2901900 arXiv arXiv:2503.15247 hep-ex eng Aguilar, J. ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain arXiv Classification of Electron and Muon Neutrino Events for the ESS$\nu$SB Near Water Cherenkov Detector using Graph Neural Networks 2025-08-26 2025-03-19 24 p arXiv 22 pages, 19 figures IOP In the effort to obtain a precise measurement of leptonicCP-violation with the ESSνSB experiment, accurate and fastreconstruction of detector events plays a pivotal role. In thiswork, we examine the possibility of replacing the currently proposedlikelihood-based reconstruction method with an approach based onGraph Neural Networks (GNNs). As the likelihood-based reconstructionmethod is reasonably accurate but computationally expensive, one ofthe benefits of a Machine Learning (ML) based method is enablingfast event reconstruction in the detector development phase,allowing for easier investigation of the effects of changes to thedetector design. Focusing on classification of flavour andinteraction type in muon and electron events and muon- and electronneutrino interaction events, we demonstrate that the GNNreconstructs events with greater accuracy than the likelihood methodfor events with greater complexity, and with increased speed for alltypes of events. The GNN flavour classification of neutrinointeraction events results in a true positive rate of 85.87 %(57.90 %) for muon (electron) neutrinos, compared to 35.55 %(0.21 %) for the likelihood-based method with identicalconstraints on the false positive rate, while the reconstructionspeed is increased by a factor of 10$^{4}$. Additionally, weinvestigate the key factors impacting reconstruction performance,and demonstrate how separation of events by pion production usinganother GNN classifier can benefit flavour classification. arXiv In the effort to obtain a precise measurement of leptonic CP-violation with the ESS$\nu$SB experiment, accurate and fast reconstruction of detector events plays a pivotal role. In this work, we examine the possibility of replacing the currently proposed likelihood-based reconstruction method with an approach based on Graph Neural Networks (GNNs). As the likelihood-based reconstruction method is reasonably accurate but computationally expensive, one of the benefits of a Machine Learning (ML) based method is enabling fast event reconstruction in the detector development phase, allowing for easier investigation of the effects of changes to the detector design. Focusing on classification of flavour and interaction type in muon and electron events and muon- and electron neutrino interaction events, we demonstrate that the GNN reconstructs events with greater accuracy than the likelihood method for events with greater complexity, and with increased speed for all events. Additionally, we investigate the key factors impacting reconstruction performance, and demonstrate how separation of events by pion production using another GNN classifier can benefit flavour classification. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication CC-BY-4.0 IOP http://creativecommons.org/licenses/by/4.0/ Other publication The Author(s) 2025 SzGeCERN Detectors and Experimental Techniques SzGeCERN Particle Physics - Experiment CERN ARTICLE Anastasopoulos, M. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Barčot, D. ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Baussan, E. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Bhattacharyya, A.K. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Bignami, A. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Blennow, M. ROR:https://ror.org/026vcq606 Royal Inst. Tech., Stockholm Stockholm Observ. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Bogomilov, M. ROR:https://ror.org/02jv3k292 Sofiya U. Sofia University St. Kliment Ohridski, Faculty of Physics, 1164 Sofia, Bulgaria Bolling, B. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Bouquerel, E. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Bramati, F. ORCID:0009-0004-6386-070X ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Branca, A. ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Brunetti, G. ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Burgman, A. ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P.O Box 118, 221 00 Lund, Sweden Bustinduy, I. ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain Carlile, C.J. ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P.O Box 118, 221 00 Lund, Sweden Cederkall, J. ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P.O Box 118, 221 00 Lund, Sweden Choi, T.W. ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Choubey, S. ROR:https://ror.org/026vcq606 Royal Inst. Tech., Stockholm Stockholm Observ. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Christiansen, P. ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P.O Box 118, 221 00 Lund, Sweden Collins, M. ROR:https://ror.org/012a77v79 Lund U. (main) ESS, Lund Faculty of Engineering, Lund University, P.O Box 118, 221 00 Lund, Sweden European Spallation Source, Box 176, SE-221 00 Lund, Sweden Cristaldo Morales, E. ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Cupiał, P. ROR:https://ror.org/00bas1c41 AGH-UST, Cracow AGH University of Krakow, al. A. Mickiewicza 30, 30-059 Krakow, Poland D'Ago, D. ORCID:0000-0002-1837-6351 ROR:https://ror.org/00z34yn88 INFN, Padua INFN Sez. di Padova, Padova, Italy Danared, H. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden de André, J.P.A.M. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Dracos, M. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Efthymiopoulos, I. ROR:https://ror.org/01ggx4157 CERN CERN, 1211 Geneva 23, Switzerland Ekelöf, T. ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Eshraqi, M. ORCID:0000-0002-8101-9787 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Fanourakis, G. ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Farricker, A. ROR:https://ror.org/02a5smf05 Cockcroft Inst. Accel. Sci. Tech. Cockroft Institute (A36), Liverpool University, Warrington WA4 4AD, U.K. Fasoula, E. ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Fukuda, T. Nagoya U., IAR Institute for Advanced Research, Nagoya University, Nagoya 464–8601, Japan García-Marcos, J. ORCID:0009-0003-2753-1864 ROR:https://ror.org/00cv9y106 Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Gazis, N. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Geralis, Th. ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Ghosh, M. ORCID:0000-0003-3540-6548 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Giarnetti, A. ORCID:0000-0001-8487-8045 ROR:https://ror.org/05vf0dg29 Rome III U. Dipartimento di Matematica e Fisica, Università di Roma Tre, Via della Vasca Navale 84, 00146 Rome, Italy Gokbulut, G. ROR:https://ror.org/05wxkj555 ROR:https://ror.org/00cv9y106 Cukurova U. Gent U. University of Cukurova, Faculty of Science and Letters, Department of Physics, 01330 Adana, Turkey Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Hagner, C. ROR:https://ror.org/00g30e956 Hamburg U. Institute for Experimental Physics, Hamburg University, 22761 Hamburg, Germany Halić, L. ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Hooft, M. ORCID:0000-0002-6368-4820 ROR:https://ror.org/00cv9y106 Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Iversen, K.E. ORCID:0000-0001-6533-4085 ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P.O Box 118, 221 00 Lund, Sweden Jachowicz, N. ROR:https://ror.org/00cv9y106 Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Jenssen, M. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Johansson, R. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Karakoulias, I. ROR:https://ror.org/03znpfq81 ROR:https://ror.org/02j61yw88 Democritos Nucl. Res. Ctr. Aristotle U., Thessaloniki Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Kasimi, E. ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Kayis Topaksu, A. ROR:https://ror.org/05wxkj555 Cukurova U. University of Cukurova, Faculty of Science and Letters, Department of Physics, 01330 Adana, Turkey Kildetoft, B. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Kliček, B. ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Kordas, K. ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Leisos, A. ROR:https://ror.org/02kq26x23 Hellenic Open U., Patras Physics Laboratory, School of Science and Technology, Hellenic Open University, 26335, Patras, Greece Lindroos, M. ROR:https://ror.org/012a77v79 ESS, Lund Lund U. European Spallation Source, Box 176, SE-221 00 Lund, Sweden Department of Physics, Lund University, P.O Box 118, 221 00 Lund, Sweden Longhin, A. ROR:https://ror.org/00240q980 ROR:https://ror.org/00z34yn88 Padua U. INFN, Padua Department of Physics and Astronomy “G. Galilei”, University of Padova and INFN Sezione di Padova, Italy Maiano, C. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Marangoni, S. ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Marrelli, C. ROR:https://ror.org/01ggx4157 CERN CERN, 1211 Geneva 23, Switzerland Meloni, D. ROR:https://ror.org/05vf0dg29 Rome III U. Dipartimento di Matematica e Fisica, Università di Roma Tre, Via della Vasca Navale 84, 00146 Rome, Italy Mezzetto, M. ROR:https://ror.org/00z34yn88 INFN, Padua INFN Sez. di Padova, Padova, Italy Milas, N. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Muñoz, J.L. ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain Niewczas, K. ROR:https://ror.org/00cv9y106 Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Oglakci, M. ROR:https://ror.org/05wxkj555 Cukurova U. University of Cukurova, Faculty of Science and Letters, Department of Physics, 01330 Adana, Turkey Ohlsson, T. ROR:https://ror.org/026vcq606 Royal Inst. Tech., Stockholm Stockholm Observ. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Olvegård, M. ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Pari, M. ROR:https://ror.org/02kq26x23 Hellenic Open U., Patras Physics Laboratory, School of Science and Technology, Hellenic Open University, 26335, Patras, Greece Park, J. ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P.O Box 118, 221 00 Lund, Sweden Patrzalek, D. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Petkov, G. ROR:https://ror.org/02jv3k292 Sofiya U. Sofia University St. Kliment Ohridski, Faculty of Physics, 1164 Sofia, Bulgaria Petridou, Ch. ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Poussot, P. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Psallidas, A. ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Pupilli, F. ROR:https://ror.org/00z34yn88 INFN, Padua INFN Sez. di Padova, Padova, Italy Saiang, D. ROR:https://ror.org/016st3p78 Lulea U. Technol. (main) Department of Civil, Environmental and Natural Resources Engineering Luleå University of Technology, SE-971 87 Lulea, Sweden Sampsonidis, D. ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Scanu, A. ORCID:0009-0009-3013-0141 ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Schwab, C. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Sordo, F. ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain Sosa, A. ROR:https://ror.org/03gq8fr08 Rutherford ISIS, STFC, Rutherford Appleton Laboratory, Harwell Oxford, Didcot OX11 0QX, United Kingdom Stavropoulos, G. ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Stipčević, M. ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Tarkeshian, R. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Terranova, F. ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Tolba, T. ROR:https://ror.org/00g30e956 Hamburg U. Institute for Experimental Physics, Hamburg University, 22761 Hamburg, Germany Trachanas, E. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Tsenov, R. ROR:https://ror.org/02jv3k292 Sofiya U. Sofia University St. Kliment Ohridski, Faculty of Physics, 1164 Sofia, Bulgaria Tsirigotis, A. ROR:https://ror.org/02kq26x23 Hellenic Open U., Patras Physics Laboratory, School of Science and Technology, Hellenic Open University, 26335, Patras, Greece Tzamarias, S.E. ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Vanderpoorten, M. ROR:https://ror.org/00cv9y106 Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Vankova-Kirilova, G. ROR:https://ror.org/02jv3k292 Sofiya U. Sofia University St. Kliment Ohridski, Faculty of Physics, 1164 Sofia, Bulgaria Vassilopoulos, N. ROR:https://ror.org/03v8tnc06 Beijing, Inst. High Energy Phys. Institute of High Energy Physics (IHEP) Dongguan Campus, Chinese Academy of Sciences (CAS), Guangdong 523803, China Vihonen, S. ROR:https://ror.org/026vcq606 Royal Inst. Tech., Stockholm Stockholm Observ. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Wurtz, J. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Zeter, V. ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Zormpa, O. ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece P08030 08 JINST 20 2025 2719795 145957 http://cds.cern.ch/record/2927529/files/neardetector.png 00000 \DIFaddFL{The three detector components of the near detector complex, the emulsion detector, the SFGD and the water Cherenkov detector. The direction of the neutrino beam is left to right, perpendicularly to the face of the WC tank. Illustration from \mbox{ \cite{Alekou_2022}}\hskip0pt .} 2719796 775193 http://cds.cern.ch/record/2927529/files/resolution_cut.png 00019 Illustration of \DIFdelbeginFL \DIFdelFL{one }\DIFdelendFL \DIFaddbeginFL \DIFaddFL{two }\DIFaddendFL of the cuts used to remove incorrectly identified \DIFdelbeginFL \DIFdelFL{muons ($\mu(e^{ID})$) }\DIFdelendFL \DIFaddbeginFL \DIFaddFL{events }\DIFaddendFL from the charged lepton data\DIFdelbeginFL \DIFdelFL{\mbox{ \cite{Alekou_2022}}\hskip0pt }\DIFdelendFL \DIFaddbeginFL \DIFaddFL{, showing correctly identified electrons (dark blue) and muons (red) and incorrectly identified electrons ($e(\mu^{ID})$, cyan) and muons ($\mu(e^{ID})$, orange) distributed by reconstructed and variables (and in one case, simulated energy)}\DIFaddendFL . \DIFdelbeginFL \DIFdelFL{Events are }\DIFdelendFL \DIFaddbeginFL \\ \DIFaddFL{The sub-Cherenkov criterion (left) shows events }\DIFaddendFL distributed by \DIFdelbeginFL \DIFdelFL{simulation }\DIFdelendFL \DIFaddbeginFL \DIFaddFL{simulated }\DIFaddendFL energy (\DIFdelbeginFL \DIFdelFL{$E_{kin}^{MC}$}\DIFdelendFL \DIFaddbeginFL \DIFaddFL{$E_{kin}^\text{MC}$}\DIFaddendFL ) and ratio between reconstructed energies using a muon (\DIFdelbeginFL \DIFdelFL{$E_{kin}^{FQ\mu}$}\DIFdelendFL \DIFaddbeginFL \DIFaddFL{$E_{kin}^{\text{FQ}\mu}$}\DIFaddendFL ) and electron ($E_{kin}^{FQe}$) hypothesis, respectively. The black line indicates the cut, \DIFdelbeginFL \DIFdelendFL \DIFaddbeginFL \DIFaddFL{(removing events with $E_{kin}^{\text{FQ}\mu}/E_{kin}^{\text{FQ}e} > 2.8$)}\DIFaddendFL , which serves to reject muon events where the muon has too little energy to produce Cherenkov radiation, and as a result is primarily detected through its electron decay product and misidentified an electron. \DIFaddbeginFL \\ \DIFaddFL{The Cherenkov-ring resolution criterion (right) show events distributed by distance from the interaction vertex to the detector wall along the direction of the charged lepton $d^\text{FQnom}_{wall}$, and the ration the reconstructed and simulated energies. The black line indicates the cut, removing events with $d^\text{FQnom}_{wall}$ < 250 \text{cm} which are often misidentified \mbox{ \cite{Alekou_2022}}\hskip0pt .}\DIFaddendFL 2719797 96335 http://cds.cern.ch/record/2927529/files/w16_scorehist_ROC.png 00016 Model score distribution (left) and ROC curve (right) for the GNN interaction type classification model on charged and neutral current neutrino events. 2719798 1563317 http://cds.cern.ch/record/2927529/files/gb_event_disp_fTime.png 00017 Events displays of randomly selected charged current interaction neutrino events for which the GNN flavour classification model predicts correctly with great confidence, while the fiTQun-based model predicts incorrectly with great confidence. Several of the event displays show multiple rings of Cherenkov light, indicating that the GNN has the ability to accurately classify low energy muon neutrino events. 2719799 95780 http://cds.cern.ch/record/2927529/files/w4_roc_both_log.png 00004 ROC curves for the GNN and fiTQun neutrino flavour classification models on charged current neutrino events with data cuts applied with electron neutrinos as target (left) and muon neutrinos as target (right). \DIFaddbeginFL \DIFaddFL{Similarly to the previous models, the ROC curves become jagged in the low FPR region, due to low statistics, but notably the ROC curve for the GNN on $\nu_\mu$ becomes flat at around 0.01\% FPR, indicating the about 25\% of the muon neutrinos receive such a high model score that essentially all the electron neutrinos can be filtered out without losing this fraction of muon neutrinos.}\DIFaddendFL 2719800 140406 http://cds.cern.ch/record/2927529/files/scorehist_ROC.png 00011 Model score distribution (left) and ROC curve (right) for the GNN pion production classification models on charged current neutrino events. Dashed lines on the left represent cuts corresponding to chosen FPRs, and the resulting TPR is shown. 2719801 125813 http://cds.cern.ch/record/2927529/files/w13_scorehist.png 00013 Model score distributions for the for the GNN (left) and fiTQun (right) neutrino flavour classification model on charged current neutrino events (with data cuts) separated by events with and without pion production using the pion production classification model. 2719802 843982 http://cds.cern.ch/record/2927529/files/w6_scoreenergy.png 00006 \DIFaddFL{Energy distribution of the model score for the GNN (left) and fiTQun (right) neutrino flavour classification models on charged current neutrino events without data cuts applied. Dashed lines represent cuts corresponding to target FPRs, and the resulting TPR is shown.} 2719803 94265 http://cds.cern.ch/record/2927529/files/w5_scorehist.png 00005 Model score distributions for the GNN (left) and fiTQun (right) neutrino flavour classification models on charged current neutrino events without data cuts applied. Dashed lines represent cuts corresponding to target FPRs, and the resulting TPR is shown. 2719804 731298 http://cds.cern.ch/record/2927529/files/discrp_event_disp_fTime.png 00008 3D (top) and 2D (bottom) event displays of events with different combinations of Confidence-Correctness Scores for each neutrino flavour classification model. 2719805 127599 http://cds.cern.ch/record/2927529/files/w10_scorehist.png 00010 Model score distributions for the GNN (left) and fiTQun (right) neutrino flavour classification models on charged current neutrino events (with data cuts) separated by events with and without pion production. 2719806 4961488 http://cds.cern.ch/record/2927529/files/2503.15247.pdf Fulltext 2719807 1508480 http://cds.cern.ch/record/2927529/files/energy_cut.png 00018 Illustration of \DIFdelbeginFL \DIFdelFL{one }\DIFdelendFL \DIFaddbeginFL \DIFaddFL{two }\DIFaddendFL of the cuts used to remove incorrectly identified \DIFdelbeginFL \DIFdelFL{muons ($\mu(e^{ID})$) }\DIFdelendFL \DIFaddbeginFL \DIFaddFL{events }\DIFaddendFL from the charged lepton data\DIFdelbeginFL \DIFdelFL{\mbox{ \cite{Alekou_2022}}\hskip0pt }\DIFdelendFL \DIFaddbeginFL \DIFaddFL{, showing correctly identified electrons (dark blue) and muons (red) and incorrectly identified electrons ($e(\mu^{ID})$, cyan) and muons ($\mu(e^{ID})$, orange) distributed by reconstructed and variables (and in one case, simulated energy)}\DIFaddendFL . \DIFdelbeginFL \DIFdelFL{Events are }\DIFdelendFL \DIFaddbeginFL \\ \DIFaddFL{The sub-Cherenkov criterion (left) shows events }\DIFaddendFL distributed by \DIFdelbeginFL \DIFdelFL{simulation }\DIFdelendFL \DIFaddbeginFL \DIFaddFL{simulated }\DIFaddendFL energy (\DIFdelbeginFL \DIFdelFL{$E_{kin}^{MC}$}\DIFdelendFL \DIFaddbeginFL \DIFaddFL{$E_{kin}^\text{MC}$}\DIFaddendFL ) and ratio between reconstructed energies using a muon (\DIFdelbeginFL \DIFdelFL{$E_{kin}^{FQ\mu}$}\DIFdelendFL \DIFaddbeginFL \DIFaddFL{$E_{kin}^{\text{FQ}\mu}$}\DIFaddendFL ) and electron ($E_{kin}^{FQe}$) hypothesis, respectively. The black line indicates the cut, \DIFdelbeginFL \DIFdelendFL \DIFaddbeginFL \DIFaddFL{(removing events with $E_{kin}^{\text{FQ}\mu}/E_{kin}^{\text{FQ}e} > 2.8$)}\DIFaddendFL , which serves to reject muon events where the muon has too little energy to produce Cherenkov radiation, and as a result is primarily detected through its electron decay product and misidentified an electron. \DIFaddbeginFL \\ \DIFaddFL{The Cherenkov-ring resolution criterion (right) show events distributed by distance from the interaction vertex to the detector wall along the direction of the charged lepton $d^\text{FQnom}_{wall}$, and the ration the reconstructed and simulated energies. The black line indicates the cut, removing events with $d^\text{FQnom}_{wall}$ < 250 \text{cm} which are often misidentified \mbox{ \cite{Alekou_2022}}\hskip0pt .}\DIFaddendFL 2719808 72971 http://cds.cern.ch/record/2927529/files/roc_both_log.png 00002 ROC curves for the GNN and fiTQun lepton flavour classification models on the charged lepton events (with data cuts) with electrons as target (left) and muons as target (right). 2719809 719962 http://cds.cern.ch/record/2927529/files/scoreenergy.png 00003 Model score distributions for the GNN (left) and fiTQun (right) neutrino flavour classification models on charged current neutrino events with data cuts applied. Dashed lines represent cuts corresponding to target FPRs, and the resulting TPR is shown. 2719810 136899 http://cds.cern.ch/record/2927529/files/w12_roc_both.png 00012 ROC curves for the GNN and fiTQun neutrino flavour classification models on charged current neutrino events (with data cuts) with electron neutrinos as target (left) and muon neutrinos as target (right) separated by events with and without pion production using the pion production classification model. 2719811 134764 http://cds.cern.ch/record/2927529/files/w14_roc_both.png 00014 ROC curves for the GNN and fiTQun neutrino flavour classification models on charged and neutral current neutrino events with electron neutrinos as target (left) and muon neutrinos as target (right) separated by interaction type. 2719812 85053 http://cds.cern.ch/record/2927529/files/w15_scorehist.png 00015 Model score distribution for the GNN (left) and fiTQun (right) neutrino neutrino flavour classification model on charged and neutral current neutrino events separated by interaction type. 2719813 99863 http://cds.cern.ch/record/2927529/files/w7_roc_both_log.png 00007 ROC curves for the GNN and fiTQun neutrino flavour classification models on charged current neutrino events without data cuts applied with electron neutrinos as target (left) and muon neutrinos as target (right). 2719814 141954 http://cds.cern.ch/record/2927529/files/roc_both.png 00009 ROC curves for the GNN and fiTQun neutrino flavour classification models on charged current neutrino events (with data cuts) with electron neutrinos as target (left) and muon neutrinos as target (right) separated by events with and without pion production . 2719815 93468 http://cds.cern.ch/record/2927529/files/scorehist.png 00001 Model score distributions for the GNN (left) and fiTQun (right) lepton flavour classification model on the charged lepton events (with data cuts). Dashed lines represent cuts corresponding to target FPRs, and the resulting TPR is shown. 2724157 145957 http://cds.cern.ch/record/2927529/files/w0_neardetector.png 00000 \DIFaddFL{The three detector components of the near detector complex, the emulsion detector, the SFGD and the water Cherenkov detector. The direction of the neutrino beam is left to right, perpendicularly to the face of the WC tank. Illustration from \mbox{ \cite{Alekou_2022}}\hskip0pt .} 2724158 93468 http://cds.cern.ch/record/2927529/files/w1_scorehist.png 00001 Model score distributions for the GNN (left) and fiTQun (right) lepton flavour classification model on the charged lepton events (with data cuts). Dashed lines represent cuts corresponding to target FPRs, and the resulting TPR is shown. 2724159 731298 http://cds.cern.ch/record/2927529/files/w8_discrp_event_disp_fTime.png 00008 3D (top) and 2D (bottom) event displays of events with different combinations of Confidence-Correctness Scores for each neutrino flavour classification model. 2724160 1563317 http://cds.cern.ch/record/2927529/files/w17_gb_event_disp_fTime.png 00017 Events displays of randomly selected charged current interaction neutrino events for which the GNN flavour classification model predicts correctly with great confidence, while the fiTQun-based model predicts incorrectly with great confidence. Several of the event displays show multiple rings of Cherenkov light, indicating that the GNN has the ability to accurately classify low energy muon neutrino events. 2724161 719962 http://cds.cern.ch/record/2927529/files/w3_scoreenergy.png 00003 Model score distributions for the GNN (left) and fiTQun (right) neutrino flavour classification models on charged current neutrino events with data cuts applied. Dashed lines represent cuts corresponding to target FPRs, and the resulting TPR is shown. 2724162 1508480 http://cds.cern.ch/record/2927529/files/w37_energy_cut.png 00018 Illustration of \DIFdelbeginFL \DIFdelFL{one }\DIFdelendFL \DIFaddbeginFL \DIFaddFL{two }\DIFaddendFL of the cuts used to remove incorrectly identified \DIFdelbeginFL \DIFdelFL{muons ($\mu(e^{ID})$) }\DIFdelendFL \DIFaddbeginFL \DIFaddFL{events }\DIFaddendFL from the charged lepton data\DIFdelbeginFL \DIFdelFL{\mbox{ \cite{Alekou_2022}}\hskip0pt }\DIFdelendFL \DIFaddbeginFL \DIFaddFL{, showing correctly identified electrons (dark blue) and muons (red) and incorrectly identified electrons ($e(\mu^{ID})$, cyan) and muons ($\mu(e^{ID})$, orange) distributed by reconstructed and variables (and in one case, simulated energy)}\DIFaddendFL . \DIFdelbeginFL \DIFdelFL{Events are }\DIFdelendFL \DIFaddbeginFL \\ \DIFaddFL{The sub-Cherenkov criterion (left) shows events }\DIFaddendFL distributed by \DIFdelbeginFL \DIFdelFL{simulation }\DIFdelendFL \DIFaddbeginFL \DIFaddFL{simulated }\DIFaddendFL energy (\DIFdelbeginFL \DIFdelFL{$E_{kin}^{MC}$}\DIFdelendFL \DIFaddbeginFL \DIFaddFL{$E_{kin}^\text{MC}$}\DIFaddendFL ) and ratio between reconstructed energies using a muon (\DIFdelbeginFL \DIFdelFL{$E_{kin}^{FQ\mu}$}\DIFdelendFL \DIFaddbeginFL \DIFaddFL{$E_{kin}^{\text{FQ}\mu}$}\DIFaddendFL ) and electron ($E_{kin}^{FQe}$) hypothesis, respectively. The black line indicates the cut, \DIFdelbeginFL \DIFdelendFL \DIFaddbeginFL \DIFaddFL{(removing events with $E_{kin}^{\text{FQ}\mu}/E_{kin}^{\text{FQ}e} > 2.8$)}\DIFaddendFL , which serves to reject muon events where the muon has too little energy to produce Cherenkov radiation, and as a result is primarily detected through its electron decay product and misidentified an electron. \DIFaddbeginFL \\ \DIFaddFL{The Cherenkov-ring resolution criterion (right) show events distributed by distance from the interaction vertex to the detector wall along the direction of the charged lepton $d^\text{FQnom}_{wall}$, and the ration the reconstructed and simulated energies. The black line indicates the cut, removing events with $d^\text{FQnom}_{wall}$ < 250 \text{cm} which are often misidentified \mbox{ \cite{Alekou_2022}}\hskip0pt .}\DIFaddendFL 2724163 775193 http://cds.cern.ch/record/2927529/files/w38_resolution_cut.png 00019 Illustration of \DIFdelbeginFL \DIFdelFL{one }\DIFdelendFL \DIFaddbeginFL \DIFaddFL{two }\DIFaddendFL of the cuts used to remove incorrectly identified \DIFdelbeginFL \DIFdelFL{muons ($\mu(e^{ID})$) }\DIFdelendFL \DIFaddbeginFL \DIFaddFL{events }\DIFaddendFL from the charged lepton data\DIFdelbeginFL \DIFdelFL{\mbox{ \cite{Alekou_2022}}\hskip0pt }\DIFdelendFL \DIFaddbeginFL \DIFaddFL{, showing correctly identified electrons (dark blue) and muons (red) and incorrectly identified electrons ($e(\mu^{ID})$, cyan) and muons ($\mu(e^{ID})$, orange) distributed by reconstructed and variables (and in one case, simulated energy)}\DIFaddendFL . \DIFdelbeginFL \DIFdelFL{Events are }\DIFdelendFL \DIFaddbeginFL \\ \DIFaddFL{The sub-Cherenkov criterion (left) shows events }\DIFaddendFL distributed by \DIFdelbeginFL \DIFdelFL{simulation }\DIFdelendFL \DIFaddbeginFL \DIFaddFL{simulated }\DIFaddendFL energy (\DIFdelbeginFL \DIFdelFL{$E_{kin}^{MC}$}\DIFdelendFL \DIFaddbeginFL \DIFaddFL{$E_{kin}^\text{MC}$}\DIFaddendFL ) and ratio between reconstructed energies using a muon (\DIFdelbeginFL \DIFdelFL{$E_{kin}^{FQ\mu}$}\DIFdelendFL \DIFaddbeginFL \DIFaddFL{$E_{kin}^{\text{FQ}\mu}$}\DIFaddendFL ) and electron ($E_{kin}^{FQe}$) hypothesis, respectively. The black line indicates the cut, \DIFdelbeginFL \DIFdelendFL \DIFaddbeginFL \DIFaddFL{(removing events with $E_{kin}^{\text{FQ}\mu}/E_{kin}^{\text{FQ}e} > 2.8$)}\DIFaddendFL , which serves to reject muon events where the muon has too little energy to produce Cherenkov radiation, and as a result is primarily detected through its electron decay product and misidentified an electron. \DIFaddbeginFL \\ \DIFaddFL{The Cherenkov-ring resolution criterion (right) show events distributed by distance from the interaction vertex to the detector wall along the direction of the charged lepton $d^\text{FQnom}_{wall}$, and the ration the reconstructed and simulated energies. The black line indicates the cut, removing events with $d^\text{FQnom}_{wall}$ < 250 \text{cm} which are often misidentified \mbox{ \cite{Alekou_2022}}\hskip0pt .}\DIFaddendFL 2724164 141954 http://cds.cern.ch/record/2927529/files/w9_roc_both.png 00009 ROC curves for the GNN and fiTQun neutrino flavour classification models on charged current neutrino events (with data cuts) with electron neutrinos as target (left) and muon neutrinos as target (right) separated by events with and without pion production . 2724165 72971 http://cds.cern.ch/record/2927529/files/w2_roc_both_log.png 00002 ROC curves for the GNN and fiTQun lepton flavour classification models on the charged lepton events (with data cuts) with electrons as target (left) and muons as target (right). 2724166 140406 http://cds.cern.ch/record/2927529/files/w11_scorehist_ROC.png 00011 Model score distribution (left) and ROC curve (right) for the GNN pion production classification models on charged current neutrino events. Dashed lines on the left represent cuts corresponding to chosen FPRs, and the resulting TPR is shown. 2777152 12210485 http://cds.cern.ch/record/2927529/files/document.pdf Fulltext 13 ARTICLE 2927528 20260313052449.0 DOI EDP Sciences 10.1051/0004-6361/202451378 DOI arXiv 10.1051/0004-6361/202451378 publication oai:cds.cern.ch:2927528 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2412.15836 oai:inspirehep.net:2862016 https://inspirehep.net/api/oai2d Inspire 2026-03-12T09:24:02Z 2026-03-13T03:01:01Z marcxml true Inspire 2862016 arXiv arXiv:2412.15836 astro-ph.HE eng Abe, S. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan EDP Sciences Time-dependent modelling of short-term variability in the TeV-blazar VER J0521+211 during the major flare in 2020 2025-02-01 2024-12-20 19 p arXiv Accepted for publication in A&A EDP Sciences The BL Lacertae object VER J0521+211 underwent a notable flaring episode in February 2020. A short-term monitoring campaign, led by the MAGIC (Major Atmospheric Gamma Imaging Cherenkov) collaboration, covering a wide energy range from radio to very high-energy (VHE, 100 GeV < E < 100 TeV) gamma rays was organised to study its evolution. These observations resulted in a consistent detection of the source over six consecutive nights in the VHE gamma-ray domain. Combining these nightly observations with an extensive set of multi-wavelength data made modelling of the blazar’s spectral energy distribution (SED) possible during the flare. This modelling was performed with a focus on two plausible emission mechanisms: (i) a leptonic two-zone synchrotron-self-Compton scenario, and (ii) a lepto-hadronic one-zone scenario. Both models effectively replicated the observed SED from radio to the VHE gamma-ray band. Furthermore, by introducing a set of evolving parameters, both models were successful in reproducing the evolution of the fluxes measured in different bands throughout the observing campaign. Notably, the lepto-hadronic model predicts enhanced photon and neutrino fluxes at ultra-high energies (E > 100 TeV). While the photon component, generated via decay of neutral pions, is not directly observable as it is subject to intense pair production (and therefore extinction) through interactions with the cosmic microwave background photons, neutrino detectors (e.g. IceCube) can probe the predicted neutrino component. Finally, the analysis of the gamma-ray spectra, observed by MAGIC and the Fermi-LAT telescopes, yielded a conservative 95% confidence upper limit of z ≤ 0.244 for the redshift of this blazar.Key words: galaxies: active / BL Lacertae objects: individual: VER J0521+211 / gamma rays: galaxies⋆⋆ Eustace Specialist in Astronomy. arXiv The BL Lacertae object VER J0521+211 underwent a notable flaring episode in February 2020. A short-term monitoring campaign, led by the MAGIC (Major Atmospheric Gamma Imaging Cherenkov) collaboration, covering a wide energy range from radio to very-high-energy (VHE, 100 GeV < E < 100 TeV) gamma rays was organised to study its evolution. These observations resulted in a consistent detection of the source over six consecutive nights in the VHE gamma-ray domain. Combining these nightly observations with an extensive set of multiwavelength data made modelling of the blazar's spectral energy distribution (SED) possible during the flare. This modelling was performed with a focus on two plausible emission mechanisms: i) a leptonic two-zone synchrotron-self-Compton scenario, and ii) a lepto-hadronic one-zone scenario. Both models effectively replicated the observed SED from radio to the VHE gamma-ray band. Furthermore, by introducing a set of evolving parameters, both models were successful in reproducing the evolution of the fluxes measured in different bands throughout the observing campaign. Notably, the lepto-hadronic model predicts enhanced photon and neutrino fluxes at ultra-high energies (E > 100 TeV). While the photon component, generated via decay of neutral pions, is not directly observable as it is subject to intense pair production (and therefore extinction) through interactions with the cosmic microwave background photons, neutrino detectors (e.g. IceCube) can probe the predicted neutrino component. Finally, the analysis of the gamma-ray spectra, as observed by MAGIC and the Fermi-LAT telescopes, yielded a conservative 95% confidence upper limit of z ≤ 0.244 for the redshift of this blazar. publication CC-BY-4.0 EDP Sciences Collective https://creativecommons.org/licenses/by/4.0 preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Extragalactic astronomy https://www.aanda.org/articles/aa/full_html/2025/02/aa51378-24/aa51378-24.html DOKIFILE:aanda2025.2_2025-03-18 arXiv WARNING: Colon in authors before R. Bachev : Check author list for collaboration names! arXiv astro-ph.HE SzGeCERN Astrophysics and Astronomy CERN ARTICLE MAGIC Abhir, J. ORCID:0000-0001-8215-4377 Zurich, ETH ETH Zürich, CH-8093 Zürich, Switzerland Abhishek, A. ORCID:0009-0005-5239-7905 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Acciari, V.A. Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Aguasca-Cabot, A. ORCID:0000-0001-8816-4920 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Agudo, I. ORCID:0000-0002-3777-6182 IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain Aniello, T. ORCID:0009-0004-9368-0515 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Ansoldi, S. Udine U. INFN, Trieste ICRA, Rome Università di Udine and INFN Trieste, I-33100 Udine, Italy Also at International Center for Relativistic Astrophysics (ICRA), Rome, Italy Antonelli, L.A. INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Engels, A.Arbet ORCID:0000-0001-9076-9582 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Arcaro, C. ORCID:0000-0002-1998-9707 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Artero, M. Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Asano, K. ORCID:0000-0001-9064-160X Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Baack, D. ORCID:0000-0002-2311-4460 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Babić, A. ORCID:0000-0002-1444-5604 Zagreb U. Croatian MAGIC Group: University of Zagreb, Faculty of Electrical Engineering and Computing (FER), 10000 Zagreb, Croatia de Almeida, U.Barres ORCID:0000-0001-7909-588X Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas (CBPF), 22290-180 URCA, Rio de Janeiro, (RJ), Brazil Barrio, J.A. ORCID:0000-0002-0965-0259 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Batković, I. ORCID:0000-0002-1209-2542 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Bautista, A. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Baxter, J. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan González, J.Becerra IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Bednarek, W. ORCID:0000-0003-0605-108X Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Bernardini, E. INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Bernete, J. ORCID:0000-0002-8108-7552 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Berti, A. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Besenrieder, J. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Bigongiari, C. ORCID:0000-0003-3293-8522 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Biland, A. ORCID:0000-0002-1288-833X Zurich, ETH ETH Zürich, CH-8093 Zürich, Switzerland Blanch, O. ORCID:0000-0002-8380-1633 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Bonnoli, G. ORCID:0000-0003-2464-9077 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Bošnjak, Ž. ORCID:0000-0001-6536-0320 Zagreb U. Croatian MAGIC Group: University of Zagreb, Faculty of Electrical Engineering and Computing (FER), 10000 Zagreb, Croatia Bronzini, E. ORCID:0000-0001-8378-4303 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Burelli, I. Udine U. INFN, Trieste Università di Udine and INFN Trieste, I-33100 Udine, Italy Campoy-Ordaz, A. ORCID:0000-0001-9352-8936 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain Carosi, A. ORCID:0000-0002-4137-4370 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Carosi, R. Pisa U. Università di Pisa and INFN Pisa, I-56126 Pisa, Italy Carretero-Castrillo, M. ORCID:0000-0002-1426-1311 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Castro-Tirado, A.J. ORCID:0000-0003-2999-3563 IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain Cerasole, D. ORCID:0000-0003-2033-756X Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Ceribella, G. ORCID:0000-0002-9768-2751 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Chai, Y. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Cifuentes, A. ORCID:0000-0003-1033-5296 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Colombo, E. ORCID:0000-0002-3700-3745 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Contreras, J.L. ORCID:0000-0001-7282-2394 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Cortina, J. Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Covino, S. ORCID:0000-0001-9078-5507 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy D’Amico, G. Bergen U. Department for Physics and Technology, University of Bergen, Bergen, Norway D’Elia, V. ORCID:0000-0003-3703-4418 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Vela, P.Da INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Dazzi, F. ORCID:0000-0001-5409-6544 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Angelis, A.De INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Lotto, B.De ORCID:0000-0003-3624-4480 Udine U. INFN, Trieste Università di Udine and INFN Trieste, I-33100 Udine, Italy de Menezes, R. ORCID:0000-0001-5489-4925 INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Delfino, M. ORCID:0000-0002-9468-4751 Barcelona, IFAE PIC, Bellaterra Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Also at Port d’Informació Científica (PIC), E-08193 Bellaterra, (Barcelona), Spain Delgado, J. ORCID:0000-0002-0166-5464 Barcelona, IFAE PIC, Bellaterra Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Also at Port d’Informació Científica (PIC), E-08193 Bellaterra, (Barcelona), Spain Mendez, C.Delgado ORCID:0000-0002-7014-4101 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Pierro, F.Di ORCID:0000-0003-4861-432X INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Tria, R.Di ORCID:0009-0007-1088-5307 Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Venere, L.Di ORCID:0000-0003-0703-824X Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Prester, D.Dominis Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Donini, A. INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Dorner, D. ORCID:0000-0001-8823-479X Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Doro, M. ORCID:0000-0001-9104-3214 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Eisenberger, L. Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Elsaesser, D. ORCID:0000-0001-6796-3205 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Escudero, J. ORCID:0000-0002-4131-655X IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain Fariña, L. ORCID:0000-0003-4116-6157 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Fattorini, A. ORCID:0000-0002-1056-9167 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Foffano, L. ORCID:0000-0002-0709-9707 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Font, L. ORCID:0000-0003-2109-5961 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain Fröse, S. ORCID:0000-0003-1832-4129 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Fukami, S. Zurich, ETH ETH Zürich, CH-8093 Zürich, Switzerland Fukazawa, Y. Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan López, R.J. García ORCID:0000-0002-8204-6832 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Garczarczyk, M. ORCID:0000-0002-0445-4566 DESY, Zeuthen Deutsches Elektronen-Synchrotron (DESY), D-15738 Zeuthen, Germany Gasparyan, S. ORCID:0000-0002-0031-7759 ICRANet, Yerevan Armenian MAGIC Group: ICRANet-Armenia, 0019 Yerevan, Armenia Gaug, M. Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain Giesbrecht Paiva, J.G. Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas (CBPF), 22290-180 URCA, Rio de Janeiro, (RJ), Brazil Giglietto, N. ORCID:0000-0002-9021-2888 Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Giordano, F. Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Gliwny, P. Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Gradetzke, T. ORCID:0000-0003-0646-2495 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Grau, R. ORCID:0000-0002-1891-6290 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Green, D. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Green, J.G. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Günther, P. ORCID:0009-0006-5372-440X Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Hadasch, D. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Hahn, A. ORCID:0000-0003-0827-5642 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Hassan, T. Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Heckmann, L. ORCID:0000-0002-6653-8407 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Llorente, J.Herrera IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Hrupec, D. ORCID:0000-0002-7027-5021 Boskovic Inst., Zagreb Croatian MAGIC Group: Josip Juraj Strossmayer University of Osijek, Department of Physics, 31000 Osijek, Croatia Imazawa, R. Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan Ishio, K. Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Martínez, I.Jiménez ORCID:0000-0003-2150-6919 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Jormanainen, J. ORCID:0000-0003-4519-7751 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Kankkunen, S. Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Kayanoki, T. Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan Kerszberg, D. Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Kluge, G.W. Bergen U. Oslo U. Department for Physics and Technology, University of Bergen, Bergen, Norway Also at Department of Physics, University of Oslo, Oslo, Norway Kobayashi, Y. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Kouch, P.M. ORCID:0000-0002-9328-2750 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Kubo, H. ORCID:0000-0001-9159-9853 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Kushida, J. ORCID:0000-0002-8002-8585 Tokai U., Hiratsuka Japanese MAGIC Group: Department of Physics, Tokai University, Hiratsuka, 259-1292 Kanagawa, Japan Láinez, M. HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Lamastra, A. INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Leone, F. INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Lindfors, E. Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Lombardi, S. ORCID:0000-0002-6336-865X INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Longo, F. Udine U. INFN, Trieste Trieste U. Università di Udine and INFN Trieste, I-33100 Udine, Italy Also at Dipartimento di Fisica, Università di Trieste, I-34127 Trieste, Italy López-Coto, R. ORCID:0000-0002-3882-9477 IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain López-Moya, M. ORCID:0000-0002-8791-7908 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain López-Oramas, A. IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Loporchio, S. ORCID:0000-0003-4457-5431 Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Lorini, A. INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Lyard, E. Geneva U. University of Geneva, Chemin d’Ecogia 16, CH-1290 Versoix, Switzerland de Oliveira Fraga, B.Machado ORCID:0000-0002-6395-3410 Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas (CBPF), 22290-180 URCA, Rio de Janeiro, (RJ), Brazil Majumdar, P. Saha Inst. Saha Institute of Nuclear Physics, A CI of Homi Bhabha National Institute, Kolkata, 700064 West Bengal, India Makariev, M. Sofiya, Inst. Nucl. Res. Inst. for Nucl. Research and Nucl. Energy, Bulgarian Academy of Sciences, BG-1784 Sofia, Bulgaria Maneva, G. ORCID:0000-0002-5959-4179 Sofiya, Inst. Nucl. Res. Inst. for Nucl. Research and Nucl. Energy, Bulgarian Academy of Sciences, BG-1784 Sofia, Bulgaria Manganaro, M. Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Mangano, S. ORCID:0000-0001-5872-1191 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Mannheim, K. Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Mariotti, M. ORCID:0000-0003-3297-4128 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Martínez, M. ORCID:0000-0002-3358-6146 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Martínez-Chicharro, M. Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Mas-Aguilar, A. HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Mazin, D. ORCID:0000-0002-2010-4005 Tokyo U., ICRR Garching, Max Planck Inst., MPE Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Max-Planck-Institut für Physik, D-85748 Garching, Germany Menchiari, S. IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain Mender, S. Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Miceli, D. INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Miener, T. HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Miranda, J.M. ORCID:0000-0002-1472-9690 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Mirzoyan, R. ORCID:0000-0003-0163-7233 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany González, M.Molero IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Molina, E. ORCID:0000-0003-1204-5516 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Mondal, H.A. ORCID:0000-0001-7217-0234 Saha Inst. Saha Institute of Nuclear Physics, A CI of Homi Bhabha National Institute, Kolkata, 700064 West Bengal, India Moralejo, A. ORCID:0000-0002-1344-9080 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Morcuende, D. IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain Nakamori, T. ORCID:0000-0002-7308-2356 Yamagata U. Japanese MAGIC Group: Department of Physics, Yamagata University, Yamagata 990-8560, Japan Nanci, C. ORCID:0000-0002-1791-8235 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Neustroev, V. ORCID:0000-0003-4772-595X Oulu U. Finnish MAGIC Group: Space Physics and Astronomy Research Unit, University of Oulu, FI-90014 Oulu, Finland Nickel, L. Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Rosillo, M.Nievas ORCID:0000-0002-8321-9168 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Nigro, C. Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Nikolić, L. INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Nilsson, K. ORCID:0000-0002-1445-8683 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Nishijima, K. ORCID:0000-0002-1830-4251 Tokai U., Hiratsuka Japanese MAGIC Group: Department of Physics, Tokai University, Hiratsuka, 259-1292 Kanagawa, Japan Ekoume, T.Njoh Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Noda, K. Chiba U. Japanese MAGIC Group: Chiba University, ICEHAP, 263-8522 Chiba, Japan Nozaki, S. ORCID:0000-0002-6246-2767 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Ohtani, Y. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Okumura, A. ORCID:0000-0002-3055-7964 KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, 464-6801 Nagoya, Japan Otero-Santos, J. IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain Paiano, S. ORCID:0000-0002-2239-3373 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Paneque, D. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Paoletti, R. INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Paredes, J.M. ORCID:0000-0002-1566-9044 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Peresano, M. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Persic, M. Udine U. INFN, Trieste CERN INFN, Padua Università di Udine and INFN Trieste, I-33100 Udine, Italy Also at INAF Padova, Italy Pihet, M. ORCID:0009-0000-4691-3866 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Pirola, G. ORCID:0000-0002-2507-2612 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Podobnik, F. ORCID:0000-0001-6125-9487 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Prada Moroni, P.G. Pisa U. Università di Pisa and INFN Pisa, I-56126 Pisa, Italy Prandini, E. ORCID:0000-0003-4502-9053 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Principe, G. ORCID:0000-0003-0406-7387 Udine U. INFN, Trieste Università di Udine and INFN Trieste, I-33100 Udine, Italy Rhode, W. ORCID:0000-0003-2636-5000 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Ribó, M. ORCID:0000-0002-9931-4557 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Rico, J. ORCID:0000-0003-4137-1134 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Righi, C. INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Sahakyan, N. ICRANet, Yerevan Armenian MAGIC Group: ICRANet-Armenia, 0019 Yerevan, Armenia Saito, T. ORCID:0000-0001-6201-3761 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Saturni, F.G. ORCID:0000-0002-1946-7706 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Schmidt, K. ORCID:0000-0002-9883-4454 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Schmuckermaier, F. ORCID:0000-0003-2089-0277 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Schubert, J.L. Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Schweizer, T. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Sciaccaluga, A. ORCID:0000-0001-6181-839X INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Silvestri, G. INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Sitarek, J. Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Sliusar, V. ORCID:0000-0002-4387-9372 Geneva U. University of Geneva, Chemin d’Ecogia 16, CH-1290 Versoix, Switzerland Sobczynska, D. ORCID:0000-0003-4973-7903 Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Spolon, A. INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Stamerra, A. ORCID:0000-0002-9430-5264 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Strišković, J. Boskovic Inst., Zagreb Croatian MAGIC Group: Josip Juraj Strossmayer University of Osijek, Department of Physics, 31000 Osijek, Croatia Strom, D. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Strzys, M. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Suda, Y. Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan Tajima, H. KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, 464-6801 Nagoya, Japan Takahashi, M. KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, 464-6801 Nagoya, Japan Takeishi, R. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Temnikov, P. ORCID:0000-0002-9559-3384 Sofiya, Inst. Nucl. Res. Inst. for Nucl. Research and Nucl. Energy, Bulgarian Academy of Sciences, BG-1784 Sofia, Bulgaria Terauchi, K. Kyoto U. Japanese MAGIC Group: Department of Physics, Kyoto University, 606-8502 Kyoto, Japan Terzić, T. ORCID:0000-0002-4209-3407 Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Teshima, M. ORCID:0009-0003-3424-2534 Garching, Max Planck Inst., MPE Tokyo U., ICRR Max-Planck-Institut für Physik, D-85748 Garching, Germany Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Truzzi, S. INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Tutone, A. ORCID:0000-0002-2840-0001 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Ubach, S. ORCID:0000-0002-6159-5883 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain van Scherpenberg, J. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Acosta, M.Vazquez ORCID:0000-0002-2409-9792 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Ventura, S. INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Verna, G. ORCID:0000-0001-5916-9028 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Viale, I. ORCID:0000-0001-5031-5930 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Vigorito, C.F. INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Vitale, V. INFN, Rome2 INFN MAGIC Group: INFN Roma Tor Vergata, I-00133 Roma, Italy Vovk, I. ORCID:0000-0003-3444-3830 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Walter, R. ORCID:0000-0003-2362-4433 Geneva U. University of Geneva, Chemin d’Ecogia 16, CH-1290 Versoix, Switzerland Wersig, F. Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Will, M. ORCID:0000-0002-7504-2083 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Wunderlich, C. INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Yamamoto, T. ORCID:0000-0001-9734-8203 Konan U. Japanese MAGIC Group: Department of Physics, Konan University, Kobe, Hyogo 658-8501, Japan Bachev, R. ORCID:0000-0002-0766-864X Sofiya, Inst. Astron. Institute of Astronomy and NAO, Bulgarian Academy of Sciences, 1784 Sofia, Bulgaria Fallah Ramazani, V. ORCID:0000-0001-8991-7744 Turku U. Aalto U. Finnish Centre for Astronomy with ESO (FINCA), University of Turku, FI-20014 Turku, Finland Aalto University Metsähovi Radio Observatory, Metsähovintie 114, 02540 Kylmälä, Finland Filippenko, A.V. UC, Berkeley, Astron. Dept. Department of Astronomy, University of California, Berkeley, CA 94720-3411, USA Hovatta, T. ORCID:0000-0002-2024-8199 Turku U. Aalto U. Finnish Centre for Astronomy with ESO (FINCA), University of Turku, FI-20014 Turku, Finland Aalto University Metsähovi Radio Observatory, Metsähovintie 114, 02540 Kylmälä, Finland Jorstad, S.G. ORCID:0000-0001-6158-1708 Boston U. Institute for Astrophysical Research, Boston University, 725 Commonwealth Avenue, Boston, MA 02215, USA Kiehlmann, S. IESL, Heraklion Crete U. Institute of Astrophysics, Foundation for Research and Technology-Hellas, GR-70013 Heraklion, Greece Department of Physics, Univ. of Crete, GR-70013 Heraklion, Greece Lähteenmäki, A. Aalto U. Aalto University Metsähovi Radio Observatory, Metsähovintie 114, 02540 Kylmälä, Finland Aalto University Department of Electronics and Nanoengineering, PO BOX 15500, FI-00076 AALTO, Finland Liodakis, I. NASA, Marshall IESL, Heraklion NASA Marshall Space Flight Center, Huntsville, AL 35812, USA Institute of Astrophysics, Foundation for Research and Technology-Hellas, GR-70013 Heraklion, Greece Marscher, A.P. ORCID:0000-0001-7396-3332 Boston U. Institute for Astrophysical Research, Boston University, 725 Commonwealth Avenue, Boston, MA 02215, USA Max-Moerbeck, W. ORCID:0000-0002-5491-5244 U. Chile, Santiago Departamento de Astronomía, Universidad de Chile, Camino El Observatorio 1515, Las Condes, Santiago, Chile Omeliukh, A. ORCID:0000-0001-8785-9771 Ruhr U., Bochum Ruhr University Bochum, Faculty of Physics and Astronomy, Astronomical Institute (AIRUB), Universitätsstraße 150, 44801 Bochum, Germany Pursimo, T. Isaac Newton Group Aarhus U. Nordic Optical Telescope, Apartado 474, E-38700 Santa Cruz de La Palma, Santa Cruz de Tenerife, Spain Department of Physics and Astronomy, Aarhus University, Ny Munkegade 120, 8000 Aarhus C, Denmark Readhead, A.C. S. Caltech Owens Valley Radio Observatory, California Institute of Technology, Pasadena, CA 91125, USA Rodrigues, X. ORCID:0000-0001-9001-3937 European Southern Observ. Munich, Tech. U., Universe European Southern Observatory, Karl-Schwarzschild-Straße 2, 85748 Garching bei München, Germany Excellence Cluster ORIGINS, Boltzmannstr. 2, D-85748 Garching bei München, Germany Tornikoski, M. ORCID:0000-0003-1249-6026 Aalto U. Aalto University Metsähovi Radio Observatory, Metsähovintie 114, 02540 Kylmälä, Finland Wierda, F. ORCID:0000-0002-8657-0076 Turku U. Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland Zheng, W. ORCID:0000-0002-2636-6508 UC, Berkeley, Astron. Dept. Department of Astronomy, University of California, Berkeley, CA 94720-3411, USA MAGIC Collaboration A308 Astron. Astrophys. 694 2025 A308 publication Astron. Astrophys. 694 A&A 694, A308 (2025) 2025 2719785 12229 http://cds.cern.ch/record/2927528/files/redshift_scan_joint_like.png 00003 Statistical redshift reconstruction using a profile-$\chi^2$ scan for different light scaling factors, jointly for the four states considered in this work. The solid, dotted, and dashed curves represent the profile-$\chi^2$ for a given light scaling factor (nominal, and $\pm 15\%$ respectively). The best-fit value is shown for each case as an open circle, the $\pm 1\,\sigma$, $\pm 2\,\sigma$, and $\pm 3\,\sigma$ two-sided confidence bands represented as small open squares. Finally, the $95\%$ confidence level upper limit is represented as a vertical bar and its actual value shown in the plot. An artificial constant $\kappa$ was added to two of the curves for clarity purposes. 2719786 155592 http://cds.cern.ch/record/2927528/files/long-term_final_years_pol.png 00000 Long-term MWL light curve of VER~0521+211 displaying the behaviour of the source from VHE gamma rays (top) to radio core intensity at 15 GHz (bottom). The dashed vertical lines indicate the two flaring episodes, 2013 flare as archival data from \citealt{2Comp} and the 2020 flare, in the VHE gamma-ray band. 2719787 51270 http://cds.cern.ch/record/2927528/files/MWL_LC_VERJ0521+211_flare.png 00001 Multiwavelength light curve showing the evolution of the flux of VER~J0521+211 in different bands and its optical polarisation during the 2020 flare. From top to bottom: VHE gamma rays (with a reference value from \citealt{2Comp}), HE gamma-ray flux, X-ray flux, UV and optical in various bands, R-band flux from various optical telescopes as well as the evolution of the polarisation degree and electric vector polarisation angle, and radio flux. Shaded background colours define the states A-D used to build the SED of the source, as described in table \ref{tab:VHEspectra}. 2719788 105415 http://cds.cern.ch/record/2927528/files/allcorr.png 00002 DCF/LCCF correlation test results of the long-term radio and optical data, radio and HE gamma-ray data, and optical and HE gamma-ray data. The time lags found for each data set pair were $-160\pm11$, $-140\pm13$ and $20\pm12$ days. A negative time lag implies that the higher energy band is leading the lower energy band and a positive one the opposite. The solid green, dotted orange, and dashed red lines show the $1\sigma$, $2\sigma$, and $3\sigma$ significance levels respectively. 2719789 58929 http://cds.cern.ch/record/2927528/files/components_leptohadr_1zone_nogrid.png 00007 Contributions from different radiative processes to the SED of VER~J0521+211 (state A), in a lepto-hadronic scenario where protons are co-accelerated to $\gtrapprox10~\mathrm{PeV}$. The solid line shows a total radiated photon flux, same as in Fig. \ref{Fig:SED_TEvo_Core} (upper left panel). Dashed lines correspond to the following contributions: purple -- synchrotron radiation from electrons accelerated in the jet, blue -- synchrotron radiation from pairs created in Bethe-Heitler process, orange -- SSC emission, red -- synchrotron radiation from $\gamma \gamma$ pair creation, green -- synchrotron from electrons created in hadronic cascades following p$\gamma$ interactions, cyan -- inverse Compton Bethe-Heitler electrons, and magenta -- pion decay to $\gamma\gamma$. Neutrinos are shown with dash-dotted filled curve. 2719790 25773 http://cds.cern.ch/record/2927528/files/A_Period_2zone_leptonic_decomp.png 00006 Contributions from different radiative processes to the SED of VER~J0521+211 (state A) in a leptonic scenario, where two non-interacting regions (blob and core) are responsible for the total emission detected. For the core, the synchrotron and SSC emission are represented by dotted and dashed blue lines, while for the blob, these radiation fields are shown in dotted and dashed red curves respectively. The total emission is shown as a black curve. 2719791 94852 http://cds.cern.ch/record/2927528/files/TimeResolved_MWL_SED.png 00004 Intrinsic broadband SEDs of the four observation epochs listed in Tab.~\ref{tab:VHEspectra}. Archival data are shown in grey \citep{2Comp}, while the data contemporary to the four epochs are shown in their respective colours. The fluxes predicted by the two-zone leptonic model are shown dashed, while the predictions of the one-zone lepto-hadronic model are shown as solid lines.In both cases, the models are shown to match the intrinsic flux measured by MAGIC, without taking into account $\gamma$-$\gamma$ absorption by extragalactic background light (relevant for TeV photons) and cosmic microwave background (completely absorbing PeV photons). The spectra of emitted neutrinos predicted by the lepto-hadronic model are shown as dash-dotted lines. 2719792 280459 http://cds.cern.ch/record/2927528/files/polmodelplot.png 00005 Modelling results (blue circles) of the optical (R-band) polarisation data (grey circles). The small open circles denote optical intensity data that has no simultaneous polarisation observations. Such data are excluded from the modelling. Panels from top to bottom on the left: optical intensity, Q and U Stokes parameters. Panels from top to bottom on the right: polarisation degree, electric vector position angle, Stokes parameters Q-U plane. Grey vertical lines indicate epochs corresponding to the entrance time of the spherical density enhancements (spheres) into the emission zone. Dashed vertical lines indicate the time of the 2020 high-energy flare. 2719793 1137023 http://cds.cern.ch/record/2927528/files/document.pdf Fulltext 2719794 1029025 http://cds.cern.ch/record/2927528/files/2412.15836.pdf Fulltext 13 ARTICLE 2927527 20251210041910.0 DOI EDP Sciences 10.1051/0004-6361/202451624 oai:cds.cern.ch:2927527 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2501.03831 oai:inspirehep.net:2865977 https://inspirehep.net/api/oai2d Inspire 2025-12-09T13:28:08Z 2025-12-10T03:00:04Z marcxml true Inspire 2865977 arXiv arXiv:2501.03831 astro-ph.HE eng Abe, K. ROR:https://ror.org/01p7qe739 Tokai U., Hiratsuka Japanese MAGIC Group: Department of Physics, Tokai University, Hiratsuka, 259-1292 Kanagawa, Japan EDP Sciences Characterization of Markarian 421 during its most violent year: Multiwavelength variability and correlations 2025-02-01 2025-01-07 21 p arXiv Accepted for publication in Astronomy & Astrophysics. Corresponding authors: Felix Schmuckermaier, David Paneque, Axel Arbet Engels EDP Sciences Aims. Mrk 421 was in its most active state around early 2010, which led to the highest TeV gamma-ray flux ever recorded from any active galactic nuclei (AGN). We aim to characterize the multiwavelength behavior during this exceptional year for Mrk 421, and evaluate whether it is consistent with the picture derived with data from other less exceptional years.Methods. We investigated the period from November 5, 2009, (MJD 55140) until July 3, 2010, (MJD 55380) with extensive coverage from very-high-energy (VHE; E > 100 GeV) gamma rays to radio with MAGIC, VERITAS, Fermi-LAT, RXTE, Swift, GASP-WEBT, VLBA, and a variety of additional optical and radio telescopes. We characterized the variability by deriving fractional variabilities as well as power spectral densities (PSDs). In addition, we investigated images of the jet taken with VLBA and the correlation behavior among different energy bands.Results. Mrk 421 was in widely different states of activity throughout the campaign, ranging from a low-emission state to its highest VHE flux ever recorded. We find the strongest variability in X-rays and VHE gamma rays, and PSDs compatible with power-law functions with indices around 1.5. We observe strong correlations between X-rays and VHE gamma rays at zero time lag with varying characteristics depending on the exact energy band. We also report a marginally significant (∼3σ) positive correlation between high-energy (HE; E > 100 MeV) gamma rays and the ultraviolet band. We detected marginally significant (∼3σ) correlations between the HE and VHE gamma rays, and between HE gamma rays and the X-ray, that disappear when the large flare in February 2010 is excluded from the correlation study, hence indicating the exceptionality of this flaring event in comparison with the rest of the campaign. The 2010 violent activity of Mrk 421 also yielded the first ejection of features in the VLBA images of the jet of Mrk 421. Yet the large uncertainties in the ejection times of these unprecedented radio features prevent us from firmly associating them to the specific flares recorded during the 2010 campaign. We also show that the collected multi-instrument data are consistent with a scenario where the emission is dominated by two regions, a compact and extended zone, which could be considered as a simplified implementation of an energy-stratified jet as suggested by recent IXPE observations.Key words: galaxies: active / BL Lacertae objects: individual: Mrk 421 arXiv Mrk 421 was in its most active state around early 2010, which led to the highest TeV gamma-ray flux ever recorded from any active galactic nuclei. We aim to characterize the multiwavelength behavior during this exceptional year for Mrk 421, and evaluate whether it is consistent with the picture derived with data from other less exceptional years. We investigated the period from November 5, 2009, (MJD 55140) until July 3, 2010, (MJD 55380) with extensive coverage from very-high-energy (VHE; E$\,>\,$100$\,$GeV) gamma rays to radio with MAGIC, VERITAS, Fermi-LAT, RXTE, Swift, GASP-WEBT, VLBA, and a variety of additional optical and radio telescopes. We investigated the variability and correlation behavior among different energy bands in great detail. We find the strongest variability in X-rays and VHE gamma rays, and PSDs compatible with power-law functions. We observe strong correlations between X-rays and VHE gamma rays. We also report a marginally significant positive correlation between high-energy (HE; E$\,>\,$100$\,$MeV) gamma rays and the ultraviolet band. We detected marginally significant correlations between the HE and VHE gamma rays, and between HE gamma rays and the X-ray, that disappear when the large flare in February 2010 is excluded from the correlation study. The activity of Mrk 421 also yielded the first ejection of features in the VLBA images of the jet of Mrk 421. Yet the large uncertainties in the ejection times of these radio features prevent us from firmly associating them to the specific flares recorded during the campaign. We also show that the collected multi-instrument data are consistent with a scenario where the emission is dominated by two regions, a compact and extended zone, which could be considered as a simplified implementation of an energy-stratified jet as suggested by recent IXPE observations. publication CC-BY-4.0 EDP Sciences Collective https://creativecommons.org/licenses/by/4.0 preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Extragalactic astronomy https://www.aanda.org/articles/aa/full_html/2025/02/aa51624-24/aa51624-24.html DOKIFILE:aanda2025.2_2025-03-18 arXiv astro-ph.HE SzGeCERN Astrophysics and Astronomy CERN ARTICLE Abe, S. ORCID:0000-0001-7250-3596 ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Abhir, J. ORCID:0000-0001-8215-4377 ROR:https://ror.org/05a28rw58 Zurich, ETH ETH Zürich, CH-8093 Zürich, Switzerland Abhishek, A. ORCID:0009-0005-5239-7905 ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Acciari, V.A. ORCID:0000-0001-8307-2007 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Aguasca-Cabot, A. ORCID:0000-0001-8816-4920 ROR:https://ror.org/021018s57 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Agudo, I. ORCID:0000-0002-3777-6182 ROR:https://ror.org/04njjy449 Granada U., Theor. Phys. Astrophys. Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain Aniello, T. ORCID:0009-0004-9368-0515 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Ansoldi, S. ORCID:0000-0002-5613-7693 ROR:https://ror.org/05j3snm48 ROR:https://ror.org/02jktn113 Udine U. INFN, Trieste ICRA, Rome Università di Udine and INFN Trieste, I-33100 Udine, Italy also at International Center for Relativistic Astrophysics (ICRA), Rome, Italy Antonelli, L.A. ORCID:0000-0002-5037-9034 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Engels, A. Arbet ORCID:0000-0001-9076-9582 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Arcaro, C. ORCID:0000-0002-1998-9707 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Asano, K. ORCID:0000-0001-9064-160X ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Baack, D. ORCID:0000-0002-2311-4460 ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Babić, A. ORCID:0000-0002-1444-5604 ROR:https://ror.org/00mv6sv71 Zagreb U. Croatian MAGIC Group: University of Zagreb, Faculty of Electrical Engineering and Computing (FER), 10000 Zagreb, Croatia de Almeida, U. Barres ORCID:0000-0001-7909-588X ROR:https://ror.org/02wnmk332 Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas (CBPF), 22290-180 URCA, Rio de Janeiro, (RJ), Brazil Barrio, J.A. ORCID:0000-0002-0965-0259 ROR:https://ror.org/02p0gd045 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Batković, I. ORCID:0000-0002-1209-2542 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Bautista, A. ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Baxter, J. ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Becerra González, J. ORCID:0000-0002-6729-9022 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Bednarek, W. ORCID:0000-0003-0605-108X ROR:https://ror.org/05cq64r17 Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Bernardini, E. ORCID:0000-0003-3108-1141 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Bernete, J. ORCID:0000-0002-8108-7552 ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Berti, A. ORCID:0000-0003-0396-4190 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Besenrieder, J. ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Bigongiari, C. ORCID:0000-0003-3293-8522 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Biland, A. ORCID:0000-0002-1288-833X ROR:https://ror.org/05a28rw58 Zurich, ETH ETH Zürich, CH-8093 Zürich, Switzerland Blanch, O. ORCID:0000-0002-8380-1633 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Bonnoli, G. ORCID:0000-0003-2464-9077 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Bošnjak, Ž. ORCID:0000-0001-6536-0320 ROR:https://ror.org/00mv6sv71 Zagreb U. Croatian MAGIC Group: University of Zagreb, Faculty of Electrical Engineering and Computing (FER), 10000 Zagreb, Croatia Bronzini, E. ORCID:0000-0001-8378-4303 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Burelli, I. ORCID:0000-0002-8383-2202 ROR:https://ror.org/05j3snm48 Udine U. INFN, Trieste Università di Udine and INFN Trieste, I-33100 Udine, Italy Campoy-Ordaz, A. ORCID:0000-0001-9352-8936 ROR:https://ror.org/052g8jq94 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain Carosi, R. ORCID:0000-0002-4137-4370 ROR:https://ror.org/03ad39j10 Pisa U. Università di Pisa and INFN Pisa, I-56126 Pisa, Italy Carretero-Castrillo, M. ORCID:0000-0002-1426-1311 ROR:https://ror.org/021018s57 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Castro-Tirado, A.J. ORCID:0000-0002-0841-0026 ROR:https://ror.org/04njjy449 Granada U., Theor. Phys. Astrophys. Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain Cerasole, D. ORCID:0000-0003-2033-756X ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Ceribella, G. ORCID:0000-0002-9768-2751 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Chai, Y. ORCID:0000-0003-2816-2821 ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Cifuentes, A. ORCID:0000-0003-1033-5296 ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Colombo, E. ORCID:0000-0002-3700-3745 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Contreras, J.L. ORCID:0000-0001-7282-2394 ROR:https://ror.org/02p0gd045 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Cortina, J. ORCID:0000-0003-4576-0452 ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Covino, S. ORCID:0000-0001-9078-5507 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy D'Amico, G. ORCID:0000-0001-6472-8381 ROR:https://ror.org/03zga2b32 Bergen U. Department for Physics and Technology, University of Bergen, Bergen, Norway D'Ammando, F. ORCID:0000-0001-7618-7527 Bologna, Ist. Radioastronomia INAF Istituto di Radioastronomia, Via P. Gobetti 101, I-40129 Bologna, Italy D'Elia, V. ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Da Vela, P. ORCID:0000-0003-0604-4517 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Dazzi, F. ORCID:0000-0001-5409-6544 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy De Angelis, A. ORCID:0000-0002-3288-2517 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy De Lotto, B. ORCID:0000-0003-3624-4480 ROR:https://ror.org/05j3snm48 Udine U. INFN, Trieste Università di Udine and INFN Trieste, I-33100 Udine, Italy de Menezes, R. ORCID:0000-0001-5489-4925 ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Delfino, M. ORCID:0000-0002-9468-4751 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE PIC, Bellaterra Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain also at Port d’Informació Científica (PIC), E-08193 Bellaterra, (Barcelona), Spain Delgado, J. ORCID:0000-0002-0166-5464 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE PIC, Bellaterra Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain also at Port d’Informació Científica (PIC), E-08193 Bellaterra, (Barcelona), Spain Delgado Mendez, C. ORCID:0000-0002-7014-4101 ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Di Pierro, F. ORCID:0000-0003-4861-432X ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Di Tria, R. ORCID:0009-0007-1088-5307 ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Di Venere, L. ORCID:0000-0003-0703-824X ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Dominis Prester, D. ORCID:0000-0002-9880-5039 ROR:https://ror.org/05r8dqr10 Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Donini, A. ORCID:0000-0002-3066-724X ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Dorner, D. ORCID:0000-0001-8823-479X ROR:https://ror.org/00fbnyb24 Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Doro, M. ORCID:0000-0001-9104-3214 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Eisenberger, L. ROR:https://ror.org/00fbnyb24 Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Elsaesser, D. ORCID:0000-0001-6796-3205 ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Escudero, J. ORCID:0000-0002-4131-655X ROR:https://ror.org/04njjy449 Granada U., Theor. Phys. Astrophys. Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain Fariña, L. ORCID:0000-0003-4116-6157 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Fattorini, A. ORCID:0000-0002-1056-9167 ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Foffano, L. ORCID:0000-0002-0709-9707 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Font, L. ORCID:0000-0003-2109-5961 ROR:https://ror.org/052g8jq94 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain Fröse, S. ORCID:0000-0003-1832-4129 ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Fukami, S. ORCID:0000-0003-4025-7794 ROR:https://ror.org/05a28rw58 Zurich, ETH ETH Zürich, CH-8093 Zürich, Switzerland Fukazawa, Y. ORCID:0000-0002-0921-8837 ROR:https://ror.org/03t78wx29 Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan López, R.J. García ORCID:0000-0002-8204-6832 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Garczarczyk, M. ORCID:0000-0002-0445-4566 ROR:https://ror.org/01js2sh04 DESY, Zeuthen Deutsches Elektronen-Synchrotron (DESY), D-15738 Zeuthen, Germany Gasparyan, S. ORCID:0000-0002-0031-7759 ICRANet, Yerevan Armenian MAGIC Group: ICRANet-Armenia, 0019 Yerevan, Armenia Gaug, M. ORCID:0000-0001-8442-7877 ROR:https://ror.org/052g8jq94 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain Giesbrecht Paiva, J.G. ORCID:0000-0002-5817-2062 ROR:https://ror.org/02wnmk332 Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas (CBPF), 22290-180 URCA, Rio de Janeiro, (RJ), Brazil Giglietto, N. ORCID:0000-0002-9021-2888 ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Giordano, F. ORCID:0000-0002-8651-2394 ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Gliwny, P. ORCID:0000-0002-4183-391X ROR:https://ror.org/05cq64r17 Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Godinović, N. ORCID:0000-0002-4674-9450 ROR:https://ror.org/00m31ft63 Split U. Croatian MAGIC Group: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), 21000 Split, Croatia Gradetzke, T. ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Grau, R. ORCID:0000-0002-1891-6290 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Green, D. ORCID:0000-0003-0768-2203 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Green, J.G. ORCID:0000-0002-1130-6692 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Günther, P. ROR:https://ror.org/00fbnyb24 Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Hadasch, D. ORCID:0000-0001-8663-6461 ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Hahn, A. ORCID:0000-0003-0827-5642 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Hassan, T. ORCID:0000-0002-4758-9196 ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Heckmann, L. ORCID:0000-0002-6653-8407 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Herrera Llorente, J. ORCID:0000-0002-3771-4918 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Hrupec, D. ORCID:0000-0002-7027-5021 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Croatian MAGIC Group: Josip Juraj Strossmayer University of Osijek, Department of Physics, 31000 Osijek, Croatia Imazawa, R. ORCID:0000-0002-0643-7946 ROR:https://ror.org/03t78wx29 Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan Ishio, K. ORCID:0000-0003-3189-0766 ROR:https://ror.org/05cq64r17 Lodz U. Torun, Copernicus Astron. Ctr. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Institute of Astronomy, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, Grudziadzka 5, 87-100 Torun, Poland Martínez, I. Jiménez ORCID:0000-0003-2150-6919 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Jormanainen, J. ORCID:0000-0003-4519-7751 ROR:https://ror.org/05vghhr25 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Kankkunen, S. ORCID:0009-0008-0460-7826 ROR:https://ror.org/05vghhr25 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Kayanoki, T. ORCID:0000-0002-6960-9274 ROR:https://ror.org/03t78wx29 Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan Kerszberg, D. ORCID:0000-0002-5289-1509 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Kluge, G.W. ORCID:0009-0009-0384-0084 ROR:https://ror.org/03zga2b32 ROR:https://ror.org/01xtthb56 Bergen U. Oslo U. Department for Physics and Technology, University of Bergen, Bergen, Norway also at Department of Physics, University of Oslo, Oslo, Norway Kouch, P.M. ORCID:0000-0002-9328-2750 ROR:https://ror.org/05vghhr25 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Kubo, H. ORCID:0000-0001-9159-9853 ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Kushida, J. ORCID:0000-0002-8002-8585 ROR:https://ror.org/01p7qe739 Tokai U., Hiratsuka Japanese MAGIC Group: Department of Physics, Tokai University, Hiratsuka, 259-1292 Kanagawa, Japan Láinez, M. ORCID:0000-0003-3848-922X ROR:https://ror.org/02p0gd045 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Lamastra, A. ORCID:0000-0003-2403-913X ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Leone, F. ORCID:0000-0001-7626-3788 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Lindfors, E. ORCID:0000-0002-9155-6199 ROR:https://ror.org/05vghhr25 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Lombardi, S. ORCID:0000-0002-6336-865X ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Longo, F. ORCID:0000-0003-2501-2270 ROR:https://ror.org/05j3snm48 ROR:https://ror.org/02n742c10 Udine U. INFN, Trieste Trieste U. Università di Udine and INFN Trieste, I-33100 Udine, Italy also at Dipartimento di Fisica, Università di Trieste, I-34127 Trieste, Italy López-Coto, R. ORCID:0000-0002-3882-9477 ROR:https://ror.org/04njjy449 Granada U., Theor. Phys. Astrophys. Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain López-Moya, M. ORCID:0000-0002-8791-7908 ROR:https://ror.org/02p0gd045 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain López-Oramas, A. ORCID:0000-0003-4603-1884 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Loporchio, S. ORCID:0000-0003-4457-5431 ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Lorini, A. ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Majumdar, P. ORCID:0000-0002-5481-5040 ROR:https://ror.org/0491yz035 Saha Inst. Saha Institute of Nuclear Physics, A CI of Homi Bhabha National Institute, Kolkata, 700064 West Bengal, India Makariev, M. ORCID:0000-0002-1622-3116 ROR:https://ror.org/0276rjc88 Sofiya, Inst. Nucl. Res. Inst. for Nucl. Research and Nucl. Energy, Bulgarian Academy of Sciences, BG-1784 Sofia, Bulgaria Maneva, G. ORCID:0000-0002-5959-4179 ROR:https://ror.org/0276rjc88 Sofiya, Inst. Nucl. Res. Inst. for Nucl. Research and Nucl. Energy, Bulgarian Academy of Sciences, BG-1784 Sofia, Bulgaria Manganaro, M. ORCID:0000-0003-1530-3031 ROR:https://ror.org/05r8dqr10 Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Mangano, S. ORCID:0000-0001-5872-1191 ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Mannheim, K. ORCID:0000-0002-2950-6641 ROR:https://ror.org/00fbnyb24 Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Mariotti, M. ORCID:0000-0003-3297-4128 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Martínez, M. ORCID:0000-0002-9763-9155 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Martínez-Chicharro, M. ORCID:0000-0002-3358-6146 ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Mas-Aguilar, A. ORCID:0000-0002-8893-9009 ROR:https://ror.org/02p0gd045 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Mazin, D. ORCID:0000-0002-2010-4005 ROR:https://ror.org/008td3p62 ROR:https://ror.org/00e4bwe12 Tokyo U., ICRR Garching, Max Planck Inst., MPE Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Max-Planck-Institut für Physik, D-85748 Garching, Germany Menchiari, S. ORCID:0009-0006-6386-3702 ROR:https://ror.org/04njjy449 Granada U., Theor. Phys. Astrophys. Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain Mender, S. ORCID:0000-0002-0755-0609 ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Miceli, D. ORCID:0000-0002-2686-0098 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Miener, T. ORCID:0000-0003-1821-7964 ROR:https://ror.org/02p0gd045 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Miranda, J.M. ORCID:0000-0002-1472-9690 ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Mirzoyan, R. ORCID:0000-0003-0163-7233 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Molero González, M. ORCID:0000-0003-0967-715X ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Molina, E. ORCID:0000-0003-1204-5516 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Mondal, H.A. ORCID:0000-0001-7217-0234 ROR:https://ror.org/0491yz035 Saha Inst. Saha Institute of Nuclear Physics, A CI of Homi Bhabha National Institute, Kolkata, 700064 West Bengal, India Moralejo, A. ORCID:0000-0002-1344-9080 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Morcuende, D. ORCID:0000-0001-9400-0922 ROR:https://ror.org/04njjy449 Granada U., Theor. Phys. Astrophys. Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain Nakamori, T. ORCID:0000-0002-7308-2356 ROR:https://ror.org/00xy44n04 Yamagata U. Japanese MAGIC Group: Department of Physics, Yamagata University, Yamagata 990-8560, Japan Nanci, C. ORCID:0000-0002-1791-8235 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Neustroev, V. ORCID:0000-0003-4772-595X ROR:https://ror.org/03yj89h83 Oulu U. Finnish MAGIC Group: Space Physics and Astronomy Research Unit, University of Oulu, FI-90014 Oulu, Finland Nickel, L. ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Nigro, C. ORCID:0000-0001-8375-1907 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Nikolić, L. ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Nilsson, K. ORCID:0000-0002-1445-8683 ROR:https://ror.org/05vghhr25 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Nishijima, K. ORCID:0000-0002-1830-4251 ROR:https://ror.org/01p7qe739 Tokai U., Hiratsuka Japanese MAGIC Group: Department of Physics, Tokai University, Hiratsuka, 259-1292 Kanagawa, Japan Ekoume, T. Njoh ORCID:0000-0002-9070-1382 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Noda, K. ORCID:0000-0003-1397-6478 ROR:https://ror.org/01hjzeq58 Chiba U. Japanese MAGIC Group: Chiba University, ICEHAP, 263-8522 Chiba, Japan Nozaki, S. ORCID:0000-0002-6246-2767 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Okumura, A. ROR:https://ror.org/04chrp450 KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, 464-6801 Nagoya, Japan Otero-Santos, J. ORCID:0000-0002-4241-5875 ROR:https://ror.org/04njjy449 Granada U., Theor. Phys. Astrophys. Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain Paiano, S. ORCID:0000-0002-2239-3373 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Paneque, D. ORCID:0000-0002-2830-0502 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Paoletti, R. ORCID:0000-0003-0158-2826 ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Paredes, J.M. ORCID:0000-0002-1566-9044 ROR:https://ror.org/021018s57 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Peresano, M. ORCID:0000-0002-7537-7334 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Persic, M. ORCID:0000-0003-1853-4900 ROR:https://ror.org/05j3snm48 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/00z34yn88 Udine U. INFN, Trieste CERN INFN, Padua Università di Udine and INFN Trieste, I-33100 Udine, Italy also at INAF, 35122 Padova, Italy Pihet, M. ORCID:0009-0000-4691-3866 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Pirola, G. ORCID:0000-0002-2507-2612 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Podobnik, F. ORCID:0000-0001-6125-9487 ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Prada Moroni, P.G. ORCID:0000-0001-9712-9916 ROR:https://ror.org/03ad39j10 Pisa U. Università di Pisa and INFN Pisa, I-56126 Pisa, Italy Prandini, E. ORCID:0000-0003-4502-9053 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Principe, G. ORCID:0000-0003-0406-7387 ROR:https://ror.org/05j3snm48 Udine U. INFN, Trieste Università di Udine and INFN Trieste, I-33100 Udine, Italy Rhode, W. ORCID:0000-0003-2636-5000 ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Ribó, M. ORCID:0000-0002-9931-4557 ROR:https://ror.org/021018s57 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Rico, J. ORCID:0000-0003-4137-1134 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra, (Barcelona), Spain Righi, C. ORCID:0000-0002-1218-9555 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Sahakyan, N. ORCID:0000-0003-2011-2731 ICRANet, Yerevan Armenian MAGIC Group: ICRANet-Armenia, 0019 Yerevan, Armenia Saito, T. ORCID:0000-0001-6201-3761 ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Saturni, F.G. ORCID:0000-0002-1946-7706 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Schmidt, K. ORCID:0000-0002-9883-4454 ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Schmuckermaier, F. ORCID:0000-0003-2089-0277 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Schubert, J.L. ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Schweizer, T. ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Sciaccaluga, A. ORCID:0000-0001-6181-839X ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Silvestri, G. INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Sitarek, J. ORCID:0000-0002-1659-5374 ROR:https://ror.org/05cq64r17 Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Sobczynska, D. ORCID:0000-0003-4973-7903 ROR:https://ror.org/05cq64r17 Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Stamerra, A. ORCID:0000-0002-9430-5264 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Strišković, J. ORCID:0000-0003-2902-5044 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Croatian MAGIC Group: Josip Juraj Strossmayer University of Osijek, Department of Physics, 31000 Osijek, Croatia Strom, D. ORCID:0000-0003-2108-3311 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Suda, Y. ORCID:0000-0002-2692-5891 ROR:https://ror.org/03t78wx29 Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan Tajima, H. ORCID:0000-0002-1721-7252 ROR:https://ror.org/04chrp450 KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, 464-6801 Nagoya, Japan Takahashi, M. ORCID:0000-0002-0574-6018 ROR:https://ror.org/04chrp450 KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, 464-6801 Nagoya, Japan Takeishi, R. ORCID:0000-0001-6335-5317 ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Tavecchio, F. ORCID:0000-0003-0256-0995 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Temnikov, P. ORCID:0000-0002-9559-3384 ROR:https://ror.org/0276rjc88 Sofiya, Inst. Nucl. Res. Inst. for Nucl. Research and Nucl. Energy, Bulgarian Academy of Sciences, BG-1784 Sofia, Bulgaria Terauchi, K. ROR:https://ror.org/02kpeqv85 Kyoto U. Japanese MAGIC Group: Department of Physics, Kyoto University, 606-8502 Kyoto, Japan Terzić, T. ORCID:0000-0002-4209-3407 ROR:https://ror.org/05r8dqr10 Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Teshima, M. ORCID:0009-0003-3424-2534 ROR:https://ror.org/00e4bwe12 ROR:https://ror.org/008td3p62 Garching, Max Planck Inst., MPE Tokyo U., ICRR Max-Planck-Institut für Physik, D-85748 Garching, Germany Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Truzzi, S. ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Tutone, A. ORCID:0000-0002-2840-0001 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Ubach, S. ORCID:0000-0002-6159-5883 ROR:https://ror.org/052g8jq94 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain van Scherpenberg, J. ORCID:0000-0002-6173-867X ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Ventura, S. ORCID:0000-0001-7065-5342 ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Verna, G. ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Viale, I. ORCID:0000-0001-5031-5930 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Vigorito, C.F. ORCID:0000-0002-0069-9195 ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Vitale, V. ORCID:0000-0001-8040-7852 ROR:https://ror.org/025rrx658 INFN, Rome2 INFN MAGIC Group: INFN Roma Tor Vergata, I-00133 Roma, Italy Vovk, I. ORCID:0000-0003-3444-3830 ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Walter, R. ROR:https://ror.org/01swzsf04 Geneva U. University of Geneva, Chemin d’Ecogia 16, CH-1290 Versoix, Switzerland Wersig, F. ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Will, M. ORCID:0000-0002-7504-2083 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Yamamoto, T. ORCID:0000-0001-9734-8203 Konan U. Japanese MAGIC Group: Department of Physics, Konan University, Kobe, Hyogo 658-8501, Japan Jorstad, S.G. ORCID:0000-0001-9522-5453 ROR:https://ror.org/05qwgg493 Boston U. Institute for Astrophysical Research, Boston University, 725 Commonwealth Avenue, Boston, MA 02215, USA Marscher, A.P. ORCID:0000-0001-7396-3332 ROR:https://ror.org/05qwgg493 Boston U. Institute for Astrophysical Research, Boston University, 725 Commonwealth Avenue, Boston, MA 02215, USA Perri, M. ORCID:0000-0003-3613-4409 ROR:https://ror.org/02hnp4676 ROR:https://ror.org/034zgem50 Rome Observ. ASI, Rome Space Science Data Center, Agenzia Spaziale Italiana, Via del Politecnico snc, 00133 Roma, Italy INAF Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monte Porzio Catone, (RM), Italy Leto, C. ORCID:0000-0002-2318-328X ROR:https://ror.org/034zgem50 ASI, Rome ASI – Agenzia Spaziale Italiana, Via del Politecnico snc, 00133 Roma, Italy Verrecchia, F. ORCID:0000-0003-3455-5082 ROR:https://ror.org/02hnp4676 ROR:https://ror.org/034zgem50 Rome Observ. ASI, Rome Space Science Data Center, Agenzia Spaziale Italiana, Via del Politecnico snc, 00133 Roma, Italy INAF Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monte Porzio Catone, (RM), Italy Aller, M. ORCID:0000-0003-2483-2103 ROR:https://ror.org/00jmfr291 U. Michigan, Dept. Astron. Department of Astronomy, University of Michigan, 323 West Hall, 1085 S. University Avenue, Ann Arbor, MI 48109, USA Max-Moerbeck, W. ORCID:0000-0002-5491-5244 U. Chile, Santiago Departamento de Astronomía, Universidad de Chile, Camino El Observatorio 1515, Las Condes, Santiago, Chile Readhead, A.C. S. ORCID:0000-0001-9152-961X ROR:https://ror.org/05dxps055 IESL, Heraklion Caltech Institute of Astrophysics, Foundation for Research and Technology – Hellas, 100 Nikolaou Plastira Str. Vassilika Vouton, 70013 Heraklion, Crete, Greece Owens Valley Radio Observatory, California Institute of Technology, Pasadena, CA 91125, USA Lähteenmäki, A. ORCID:0000-0002-0393-0647 ROR:https://ror.org/020hwjq30 Aalto U. Aalto University Metsähovi Radio Observatory, Metsähovintie 114, 02540 Kylmälä, Finland Aalto University Department of Electronics and Nanoengineering, PO Box 15500 FI-00076 Aalto, Finland Tornikoski, M. ORCID:0000-0003-1249-6026 ROR:https://ror.org/020hwjq30 Aalto U. Aalto University Metsähovi Radio Observatory, Metsähovintie 114, 02540 Kylmälä, Finland Gurwell, M.A. ORCID:0000-0003-0685-3621 ROR:https://ror.org/03c3r2d17 Harvard-Smithsonian Ctr. Astrophys. Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA Wehrle, A.E. ORCID:0000-0003-4737-1477 Ball Aerospace Tech., Boulder Space Science Institute, 4765 Walnut St., Suite B, Boulder, CO 80301, USA A195 Astron. Astrophys. 694 2025 2719751 5796 http://cds.cern.ch/record/2927527/files/PSD_likelihood.png 00006 Likelihood profile $\mathcal{L} (a) $ (see Eq.~\ref{eq:psd_likelihood}) for the 2-10\,keV band with its best fit value of 1.4 denoted by a vertical blue dotted line. 2719752 535816 http://cds.cern.ch/record/2927527/files/Fermi_3-300_noflare_vsXRT_03-2_noflare__10000_replotted.png 00016 Discrete correlation function computed between two energy ranges provided by \textit{Fermi}-LAT and \textit{Swift}-XRT with and without the big flare in February using a binning of 3 days. It is computed for a range of time lags between -40 to +40 days. The 1\,$\sigma$, 2\,$\sigma$, and 3\,$\sigma$ confidence levels obtained by simulations are shown by the yellow, red, and green lines, respectively. (a) 3-300\,GeV versus 0.3-2\,keV; (b) 3-300\,GeV versus 0.3-2\,keV without the flare in February 2010; (c) 0.3-3\,GeV versus 0.3-2\,keV; (d) 0.3-3\,GeV versus 0.3-2\,keV without the flare in February 2010; (e) 3-300\,GeV versus 2-10\,keV; (f) 3-300\,GeV versus 2-10\,keV without the flare in February 2010; (g) 0.3-3\,GeV versus 2-10\,keV; (h) 0.3-3\,GeV versus 2-10\,keV without the flare in February 2010. 2719753 248376 http://cds.cern.ch/record/2927527/files/MWL_LC.png 00000 MWL light curves covering the time period from November 5, 2009, (MJD 55140) to July 3, 2010, (MJD 55380). Top to bottom: MAGIC fluxes in daily bins for two energy bands (note the two different y-axes); VHE fluxes obtained from MAGIC and VERITAS above 0.2\,TeV (in log scale); \textit{Fermi}-LAT fluxes in 3-day bins in two energy bands; X-ray fluxes in 1-day bins from the all-sky monitors \textit{Swift}-BAT and \textit{RXTE}-ASM; X-ray fluxes from the pointing instruments \textit{Swift}-XRT and \textit{RXTE}-PCA; hardness ratio between the high and low-energy fluxes of \textit{Swift}-XRT and between the two VHE bands of MAGIC (note the two different y-axes); optical R-band data from GASP-WEBT; radio data from Mets\"ahovi, UMRAO, SMA, OVRO and VLBA; polarization degree and polarization angle observations in the optical from the Steward and Perkins observatories and in radio from VLBA. 2719754 511051 http://cds.cern.ch/record/2927527/files/Fermi_03-3_noflare_vsUVOT_W1_noflare__10000_replotted.png 00026 Discrete correlation function computed between the two energy ranges provided by \textit{Fermi}-LAT and the W1 filter by \textit{Swift}-UVOT without the big flare in February using a binning of 3 days. It is computed for a range of time lags between -40 to +40 days. The 1\,$\sigma$, 2\,$\sigma$, and 3\,$\sigma$ confidence levels obtained by simulations are shown by the yellow, red, and green lines, respectively. (a) 3-300\,GeV versus W1; (b) 3-300\,GeV versus W1 without the flare in February 2010; (c) 0.3-3\,GeV versus W1; (d) 0.3-3\,GeV versus W1 without the flare in February 2010. 2719755 68155 http://cds.cern.ch/record/2927527/files/VHE_vs_UV_6h.png 00005 VHE flux versus UV flux obtained by MAGIC/VERITAS and \textit{Swift}-UVOT. Only pairs of observations within 6\,hours are considered. If more than one \textit{Swift} observation falls within that window, the weighted mean is computed. VHE fluxes are in the >1\,TeV band (top panels), in the 0.2-1\,TeV band (middle panels) and in the >0.2\,TeV band (bottom panels). The \textit{Swift}-UVOT fluxes are taken with the W1 filter. The top left corner of each panel shows the Pearson coefficient of the flux pairs, with the significance of the correlations given in parentheses. The gray dashed and dotted lines depict a fit with slope fixed to 0.5 and 2, respectively, and the black line is the best-fit line to the data, with the slope quoted in the legend at the bottom right of each panel. 2719756 483759 http://cds.cern.ch/record/2927527/files/Fermi_03-3_noflare_vsXRT_03-2_noflare__10000_replotted.png 00018 Discrete correlation function computed between two energy ranges provided by \textit{Fermi}-LAT and \textit{Swift}-XRT with and without the big flare in February using a binning of 3 days. It is computed for a range of time lags between -40 to +40 days. The 1\,$\sigma$, 2\,$\sigma$, and 3\,$\sigma$ confidence levels obtained by simulations are shown by the yellow, red, and green lines, respectively. (a) 3-300\,GeV versus 0.3-2\,keV; (b) 3-300\,GeV versus 0.3-2\,keV without the flare in February 2010; (c) 0.3-3\,GeV versus 0.3-2\,keV; (d) 0.3-3\,GeV versus 0.3-2\,keV without the flare in February 2010; (e) 3-300\,GeV versus 2-10\,keV; (f) 3-300\,GeV versus 2-10\,keV without the flare in February 2010; (g) 0.3-3\,GeV versus 2-10\,keV; (h) 0.3-3\,GeV versus 2-10\,keV without the flare in February 2010. 2719757 50724 http://cds.cern.ch/record/2927527/files/HR_MAGIC.png 00009 Hardness ratios as a function of the flux 0.2-1\,TeV (left) and above 1\,TeV(right) obtained by MAGIC. The color indicates the time of the observation in MJD. 2719758 47915 http://cds.cern.ch/record/2927527/files/HR_XRT.png 00010 Hardness ratios as a function of the flux between 0.3-2\,keV (left) and 2-10\,keV (right) obtained by \textit{Swift}-XRT. The color indicates the time of the observation in MJD. 2719759 540409 http://cds.cern.ch/record/2927527/files/Fermi_3-300_noflare_vsXRT_2-10_noflare__10000_replotted.png 00020 Discrete correlation function computed between two energy ranges provided by \textit{Fermi}-LAT and \textit{Swift}-XRT with and without the big flare in February using a binning of 3 days. It is computed for a range of time lags between -40 to +40 days. The 1\,$\sigma$, 2\,$\sigma$, and 3\,$\sigma$ confidence levels obtained by simulations are shown by the yellow, red, and green lines, respectively. (a) 3-300\,GeV versus 0.3-2\,keV; (b) 3-300\,GeV versus 0.3-2\,keV without the flare in February 2010; (c) 0.3-3\,GeV versus 0.3-2\,keV; (d) 0.3-3\,GeV versus 0.3-2\,keV without the flare in February 2010; (e) 3-300\,GeV versus 2-10\,keV; (f) 3-300\,GeV versus 2-10\,keV without the flare in February 2010; (g) 0.3-3\,GeV versus 2-10\,keV; (h) 0.3-3\,GeV versus 2-10\,keV without the flare in February 2010. 2719760 5185 http://cds.cern.ch/record/2927527/files/PSD_hist_2_10.png 00007 Histogram of the best-fit indices derived from simulations using as input a simulated light curve that has a known PSD index $a=1.4$, in agreement with the real data for the 2-10\,keV band. 2719761 471111 http://cds.cern.ch/record/2927527/files/Fermi_03-3_vsXRT_2-10__10000_replotted.png 00021 Discrete correlation function computed between two energy ranges provided by \textit{Fermi}-LAT and \textit{Swift}-XRT with and without the big flare in February using a binning of 3 days. It is computed for a range of time lags between -40 to +40 days. The 1\,$\sigma$, 2\,$\sigma$, and 3\,$\sigma$ confidence levels obtained by simulations are shown by the yellow, red, and green lines, respectively. (a) 3-300\,GeV versus 0.3-2\,keV; (b) 3-300\,GeV versus 0.3-2\,keV without the flare in February 2010; (c) 0.3-3\,GeV versus 0.3-2\,keV; (d) 0.3-3\,GeV versus 0.3-2\,keV without the flare in February 2010; (e) 3-300\,GeV versus 2-10\,keV; (f) 3-300\,GeV versus 2-10\,keV without the flare in February 2010; (g) 0.3-3\,GeV versus 2-10\,keV; (h) 0.3-3\,GeV versus 2-10\,keV without the flare in February 2010. 2719762 35910 http://cds.cern.ch/record/2927527/files/intranight_fit_10min.png 00008 Intranight VHE variability in the two energy bands 0.2-1\,TeV and >1\,TeV. The data are binned in 10\,min. The dotted line shows the constant fits for the 0.2-1\,TeV band. 2719763 491736 http://cds.cern.ch/record/2927527/files/Fermi_03-3_noflare_vsXRT_2-10_noflare__10000_replotted.png 00022 Discrete correlation function computed between two energy ranges provided by \textit{Fermi}-LAT and \textit{Swift}-XRT with and without the big flare in February using a binning of 3 days. It is computed for a range of time lags between -40 to +40 days. The 1\,$\sigma$, 2\,$\sigma$, and 3\,$\sigma$ confidence levels obtained by simulations are shown by the yellow, red, and green lines, respectively. (a) 3-300\,GeV versus 0.3-2\,keV; (b) 3-300\,GeV versus 0.3-2\,keV without the flare in February 2010; (c) 0.3-3\,GeV versus 0.3-2\,keV; (d) 0.3-3\,GeV versus 0.3-2\,keV without the flare in February 2010; (e) 3-300\,GeV versus 2-10\,keV; (f) 3-300\,GeV versus 2-10\,keV without the flare in February 2010; (g) 0.3-3\,GeV versus 2-10\,keV; (h) 0.3-3\,GeV versus 2-10\,keV without the flare in February 2010. 2719764 653860 http://cds.cern.ch/record/2927527/files/VHE_above200_noflare_vsFermi_3-300_noflare__10000_replotted.png 00012 Discrete correlation function computed between the VHE gamma-ray fluxes above 0.2\,TeV, as measured by MAGIC and VERITAS, and the HE gamma-ray fluxes measured by \textit{Fermi}-LAT. The DCF is computed using a time bin of 3-days for a range of time lags between -40 to +40 days. The 1\,$\sigma$, 2\,$\sigma$, and 3\,$\sigma$ confidence levels obtained by simulations are shown by the yellow, red, and green lines, respectively. (a) >0.2\,TeV versus 3-300\,GeV; (b) >0.2\,TeV versus 3-300\,GeV without the flare in February 2010; (c) >0.2 TeV versus 0.3-3\,GeV; (d) >0.2 TeV versus 0.3-3\,GeV without the flare in February 2010. 2719765 553664 http://cds.cern.ch/record/2927527/files/Fermi_3-300_noflare_vsUVOT_W1_noflare__10000_replotted.png 00024 Discrete correlation function computed between the two energy ranges provided by \textit{Fermi}-LAT and the W1 filter by \textit{Swift}-UVOT without the big flare in February using a binning of 3 days. It is computed for a range of time lags between -40 to +40 days. The 1\,$\sigma$, 2\,$\sigma$, and 3\,$\sigma$ confidence levels obtained by simulations are shown by the yellow, red, and green lines, respectively. (a) 3-300\,GeV versus W1; (b) 3-300\,GeV versus W1 without the flare in February 2010; (c) 0.3-3\,GeV versus W1; (d) 0.3-3\,GeV versus W1 without the flare in February 2010. 2719766 11697001 http://cds.cern.ch/record/2927527/files/document.pdf Fulltext 2719767 47986 http://cds.cern.ch/record/2927527/files/F_var.png 00003 Fractional variability $F_{var}$ as a function of the frequency for the light curves shown in Fig.~\ref{fig:MWL_LC}. Open markers show the results using the whole campaign for each light curve. Full markers only include quasi-simultaneous data to the VHE data (quasi-simultaneity is defined as temporal agreement with VHE data within 6\,h for X-ray and UV data, within 1 day for optical data, and within 3 days for radio and \textit{Fermi}-LAT data.) 2719768 497353 http://cds.cern.ch/record/2927527/files/Fermi_03-3_vsUVOT_W1__10000_replotted.png 00025 Discrete correlation function computed between the two energy ranges provided by \textit{Fermi}-LAT and the W1 filter by \textit{Swift}-UVOT without the big flare in February using a binning of 3 days. It is computed for a range of time lags between -40 to +40 days. The 1\,$\sigma$, 2\,$\sigma$, and 3\,$\sigma$ confidence levels obtained by simulations are shown by the yellow, red, and green lines, respectively. (a) 3-300\,GeV versus W1; (b) 3-300\,GeV versus W1 without the flare in February 2010; (c) 0.3-3\,GeV versus W1; (d) 0.3-3\,GeV versus W1 without the flare in February 2010. 2719769 167342 http://cds.cern.ch/record/2927527/files/VHE_vs_xray_with_BAT_6h.png 00004 VHE flux versus X-ray flux obtained by MAGIC/VERITAS and \textit{Swift}-XRT/BAT. Only pairs of observations within 6\,hours are considered. If more than one \textit{Swift} observation falls within that window, the weighted mean is computed. VHE fluxes are in the >1\,TeV band (top panels), in the 0.2-1\,TeV band (middle panels), and in the >0.2\,TeV band (bottom panels). \textit{Swift}-XRT fluxes are computed in the 0.3-2\,keV (left panels) and 2-10\,keV bands (middle panels). \textit{Swift}-BAT provides the flux in the 15-50\,keV band (right panels). The top left corner of each panel shows the Pearson coefficient of the flux pairs, with the significance of the correlations given in parentheses. The gray dashed and dotted lines depict a fit with slope fixed to 0.5 and 2, respectively, and the black line is the best-fit line to the data, with the slope quoted in the legend at the bottom right of each panel. 2719770 458251 http://cds.cern.ch/record/2927527/files/Fermi_03-3_vsCarnerero_R-band__10000_replotted.png 00029 Discrete correlation function computed between the two energy ranges provided by \textit{Fermi}-LAT and the R-band by GASP-WEBT without the big flare in February using a binning of 3 days. It is computed for a range of time lags between -40 to +40 days. The 1\,$\sigma$, 2\,$\sigma$, and 3\,$\sigma$ confidence levels obtained by simulations are shown by the yellow, red, and green lines, respectively. (a) 3-300\,GeV versus R-band; (b) 3-300\,GeV versus R-band without the flare in February 2010; (c) 0.3-3\,GeV versus R-band; (d) 0.3-3\,GeV versus R-band without the flare in February 2010. 2719771 605946 http://cds.cern.ch/record/2927527/files/VHE_above200_noflare_vsFermi_03-3_noflare__10000_replotted.png 00014 Discrete correlation function computed between the VHE gamma-ray fluxes above 0.2\,TeV, as measured by MAGIC and VERITAS, and the HE gamma-ray fluxes measured by \textit{Fermi}-LAT. The DCF is computed using a time bin of 3-days for a range of time lags between -40 to +40 days. The 1\,$\sigma$, 2\,$\sigma$, and 3\,$\sigma$ confidence levels obtained by simulations are shown by the yellow, red, and green lines, respectively. (a) >0.2\,TeV versus 3-300\,GeV; (b) >0.2\,TeV versus 3-300\,GeV without the flare in February 2010; (c) >0.2 TeV versus 0.3-3\,GeV; (d) >0.2 TeV versus 0.3-3\,GeV without the flare in February 2010. 2719772 673727 http://cds.cern.ch/record/2927527/files/VHE_above200_vsFermi_3-300__10000_replotted.png 00011 Discrete correlation function computed between the VHE gamma-ray fluxes above 0.2\,TeV, as measured by MAGIC and VERITAS, and the HE gamma-ray fluxes measured by \textit{Fermi}-LAT. The DCF is computed using a time bin of 3-days for a range of time lags between -40 to +40 days. The 1\,$\sigma$, 2\,$\sigma$, and 3\,$\sigma$ confidence levels obtained by simulations are shown by the yellow, red, and green lines, respectively. (a) >0.2\,TeV versus 3-300\,GeV; (b) >0.2\,TeV versus 3-300\,GeV without the flare in February 2010; (c) >0.2 TeV versus 0.3-3\,GeV; (d) >0.2 TeV versus 0.3-3\,GeV without the flare in February 2010. 2719773 476776 http://cds.cern.ch/record/2927527/files/Fermi_03-3_vsXRT_03-2__10000_replotted.png 00017 Discrete correlation function computed between two energy ranges provided by \textit{Fermi}-LAT and \textit{Swift}-XRT with and without the big flare in February using a binning of 3 days. It is computed for a range of time lags between -40 to +40 days. The 1\,$\sigma$, 2\,$\sigma$, and 3\,$\sigma$ confidence levels obtained by simulations are shown by the yellow, red, and green lines, respectively. (a) 3-300\,GeV versus 0.3-2\,keV; (b) 3-300\,GeV versus 0.3-2\,keV without the flare in February 2010; (c) 0.3-3\,GeV versus 0.3-2\,keV; (d) 0.3-3\,GeV versus 0.3-2\,keV without the flare in February 2010; (e) 3-300\,GeV versus 2-10\,keV; (f) 3-300\,GeV versus 2-10\,keV without the flare in February 2010; (g) 0.3-3\,GeV versus 2-10\,keV; (h) 0.3-3\,GeV versus 2-10\,keV without the flare in February 2010. 2719774 543454 http://cds.cern.ch/record/2927527/files/Fermi_3-300_vsUVOT_W1__10000_replotted.png 00023 Discrete correlation function computed between the two energy ranges provided by \textit{Fermi}-LAT and the W1 filter by \textit{Swift}-UVOT without the big flare in February using a binning of 3 days. It is computed for a range of time lags between -40 to +40 days. The 1\,$\sigma$, 2\,$\sigma$, and 3\,$\sigma$ confidence levels obtained by simulations are shown by the yellow, red, and green lines, respectively. (a) 3-300\,GeV versus W1; (b) 3-300\,GeV versus W1 without the flare in February 2010; (c) 0.3-3\,GeV versus W1; (d) 0.3-3\,GeV versus W1 without the flare in February 2010. 2719775 519879 http://cds.cern.ch/record/2927527/files/Fermi_3-300_vsCarnerero_R-band__10000_replotted.png 00027 Discrete correlation function computed between the two energy ranges provided by \textit{Fermi}-LAT and the R-band by GASP-WEBT without the big flare in February using a binning of 3 days. It is computed for a range of time lags between -40 to +40 days. The 1\,$\sigma$, 2\,$\sigma$, and 3\,$\sigma$ confidence levels obtained by simulations are shown by the yellow, red, and green lines, respectively. (a) 3-300\,GeV versus R-band; (b) 3-300\,GeV versus R-band without the flare in February 2010; (c) 0.3-3\,GeV versus R-band; (d) 0.3-3\,GeV versus R-band without the flare in February 2010. 2719776 598227 http://cds.cern.ch/record/2927527/files/VHE_above200_vsFermi_03-3__10000_replotted.png 00013 Discrete correlation function computed between the VHE gamma-ray fluxes above 0.2\,TeV, as measured by MAGIC and VERITAS, and the HE gamma-ray fluxes measured by \textit{Fermi}-LAT. The DCF is computed using a time bin of 3-days for a range of time lags between -40 to +40 days. The 1\,$\sigma$, 2\,$\sigma$, and 3\,$\sigma$ confidence levels obtained by simulations are shown by the yellow, red, and green lines, respectively. (a) >0.2\,TeV versus 3-300\,GeV; (b) >0.2\,TeV versus 3-300\,GeV without the flare in February 2010; (c) >0.2 TeV versus 0.3-3\,GeV; (d) >0.2 TeV versus 0.3-3\,GeV without the flare in February 2010. 2719777 59245 http://cds.cern.ch/record/2927527/files/vlba_modified.png 00001 Total intensity VLBA images from May 2010 to August 2011. The black and yellow lines show the average positions of the stationary features A0 and A1. The yellow, red and blue circles show the fitted positions of A1, K1, and K2, respectively. 2719778 533364 http://cds.cern.ch/record/2927527/files/Fermi_3-300_vsXRT_03-2__10000_replotted.png 00015 Discrete correlation function computed between two energy ranges provided by \textit{Fermi}-LAT and \textit{Swift}-XRT with and without the big flare in February using a binning of 3 days. It is computed for a range of time lags between -40 to +40 days. The 1\,$\sigma$, 2\,$\sigma$, and 3\,$\sigma$ confidence levels obtained by simulations are shown by the yellow, red, and green lines, respectively. (a) 3-300\,GeV versus 0.3-2\,keV; (b) 3-300\,GeV versus 0.3-2\,keV without the flare in February 2010; (c) 0.3-3\,GeV versus 0.3-2\,keV; (d) 0.3-3\,GeV versus 0.3-2\,keV without the flare in February 2010; (e) 3-300\,GeV versus 2-10\,keV; (f) 3-300\,GeV versus 2-10\,keV without the flare in February 2010; (g) 0.3-3\,GeV versus 2-10\,keV; (h) 0.3-3\,GeV versus 2-10\,keV without the flare in February 2010. 2719779 515255 http://cds.cern.ch/record/2927527/files/Fermi_3-300_noflare_vsCarnerero_R-band_noflare__10000_replotted.png 00028 Discrete correlation function computed between the two energy ranges provided by \textit{Fermi}-LAT and the R-band by GASP-WEBT without the big flare in February using a binning of 3 days. It is computed for a range of time lags between -40 to +40 days. The 1\,$\sigma$, 2\,$\sigma$, and 3\,$\sigma$ confidence levels obtained by simulations are shown by the yellow, red, and green lines, respectively. (a) 3-300\,GeV versus R-band; (b) 3-300\,GeV versus R-band without the flare in February 2010; (c) 0.3-3\,GeV versus R-band; (d) 0.3-3\,GeV versus R-band without the flare in February 2010. 2719780 32434 http://cds.cern.ch/record/2927527/files/extrapolation.png 00002 Angular distance of A1 (yellow), K1 (red), and K2 (blue) from the jet core (black). At the location of Mrk\,421, the angular distance of one mas is equivalent to a physical distance of 0.638\,pc. The dotted yellow line indicates a constant fit of the quasi-stationary component. The red and blue lines show linear fits to determine the time of ejection of the components. The uncertainties on the ejection times are given by the red and blue bands. The campaign of this work is given by the light gray band with the three flares marked with gray lines. 2719781 470969 http://cds.cern.ch/record/2927527/files/Fermi_03-3_noflare_vsCarnerero_R-band_noflare__10000_replotted.png 00030 Discrete correlation function computed between the two energy ranges provided by \textit{Fermi}-LAT and the R-band by GASP-WEBT without the big flare in February using a binning of 3 days. It is computed for a range of time lags between -40 to +40 days. The 1\,$\sigma$, 2\,$\sigma$, and 3\,$\sigma$ confidence levels obtained by simulations are shown by the yellow, red, and green lines, respectively. (a) 3-300\,GeV versus R-band; (b) 3-300\,GeV versus R-band without the flare in February 2010; (c) 0.3-3\,GeV versus R-band; (d) 0.3-3\,GeV versus R-band without the flare in February 2010. 2719782 548170 http://cds.cern.ch/record/2927527/files/Fermi_3-300_vsXRT_2-10__10000_replotted.png 00019 Discrete correlation function computed between two energy ranges provided by \textit{Fermi}-LAT and \textit{Swift}-XRT with and without the big flare in February using a binning of 3 days. It is computed for a range of time lags between -40 to +40 days. The 1\,$\sigma$, 2\,$\sigma$, and 3\,$\sigma$ confidence levels obtained by simulations are shown by the yellow, red, and green lines, respectively. (a) 3-300\,GeV versus 0.3-2\,keV; (b) 3-300\,GeV versus 0.3-2\,keV without the flare in February 2010; (c) 0.3-3\,GeV versus 0.3-2\,keV; (d) 0.3-3\,GeV versus 0.3-2\,keV without the flare in February 2010; (e) 3-300\,GeV versus 2-10\,keV; (f) 3-300\,GeV versus 2-10\,keV without the flare in February 2010; (g) 0.3-3\,GeV versus 2-10\,keV; (h) 0.3-3\,GeV versus 2-10\,keV without the flare in February 2010. 2719783 10845472 http://cds.cern.ch/record/2927527/files/2501.03831.pdf Fulltext 13 ARTICLE 2926981 20260313143523.0 oai:cds.cern.ch:2926981 cerncds:TALK eng Indico 3080 CERN. Geneva Mechanical & Materials Engineering for Particle Accelerators and Detectors, 2-15 June 2024, Sint-Michielsgestel, Netherlands Netherlands - Hotel De Ruwenberg 2024-06-13T08:30:00 2024-06-13T09:30:00 1326947c51 Fabrication Summary 2024 2024-06-13 3159 Streaming video CERN Accelerator School Mechanical & Materials Engineering for Particle Accelerators and Detectors, 2-15 June 2024, Sint-Michielsgestel, Netherlands 2024-06-13T08:30:00 <!--HTML-->Fabrication technologies play a critical role in the development of accelerator components, ensuring high precision, reliability, and compliance with stringent functional and environmental requirements. This work presents an overview of key fabrication techniques used in accelerator technology, including precision machining, welding, sheet metal forming, and advanced multi-technology approaches. The study highlights the importance of machining accuracy, surface integrity for ultra-high vacuum (UHV) and radiofrequency (RF) applications, and material considerations such as purity and magnetic permeability. Additionally, it explores the impact of fabrication workflows, design-for-manufacturability strategies, and the make-or-buy decision process to optimise production efficiency. Integrating cutting-edge simulation techniques and process optimisation methods is also discussed to minimise errors and enhance component longevity. These insights contribute to advancing fabrication processes for the next generation of accelerator technologies. CERN 2024 CERN Accelerator School Event TALK CERN Atieh, Said speaker CERN https://indico.cern.ch/event/1326947/contributions/5926720/ Talk details https://indico.cern.ch/event/1326947/ Event details MediaArchive /mnt/master_share/master_data/2024/1326947c51 Absolute master path MediaArchive https://lecturemedia.cern.ch/2024/1326947c51/1326947c51-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1811728 MediaArchive https://lecturemedia.cern.ch/2024/1326947c51/1326947c51-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 981518 MediaArchive https://lecturemedia.cern.ch/2024/1326947c51/1326947c51-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 127847 MediaArchive https://lecturemedia.cern.ch/2024/1326947c51/1326947c51-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 366118 MediaArchive https://lecturemedia.cern.ch/2024/1326947c51/1326947c51-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1199201 MediaArchive https://lecturemedia.cern.ch/2024/1326947c51/1326947c51-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 163675 MediaArchive https://lecturemedia.cern.ch/2024/1326947c51/1326947c51-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 590119 MediaArchive https://lecturemedia.cern.ch/2024/1326947c51/1326947c51-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3294108 delphine.rivoiron@cern.ch Tecker, Frank CERN 2023-09-15T07:51:23 2025-03-17T09:11:13 PUBLIC INDICO.1326947c51 https://videos.cern.ch/legacy/record/2926981 Indico SSW MIGRATED 2926351 20250401160325.0 oai:cds.cern.ch:2926351 cerncds:FULLTEXT CERN-PHOTO-202503-072 Cavazza, Marina AUTHOR|(CDS)2836746 marina.cavazza@cern.ch Art installation inside IdeaSquare 2025 Geneva CERN 2025-03-10 General Photo public An artist, architects, an experimental physicist, and Master’s students in environmental design and architecture, ideate the design of an interdisciplinary collaborative project to create an installation inside IdeaSquare. The simple idea raised complex questions, one of which was: what does “the future” mean? Based on the concepts of Japanese Gardens, which integrate the past and future into the present, as well as concepts from physics, the team led by Yuri Tanaka elaborated on these ideas into their space design. For more information: https://yuritanaka.net/projects/garden/ CERN 2025 CERN EDS PHOTOLAB SzGeCERN Events SzGeCERN Photolab Events CERN CERN PHOTO 2718845 40663965 http://cds.cern.ch/record/2926351/files/202503-072_007.jpg 2718846 35967915 http://cds.cern.ch/record/2926351/files/202503-072_010.jpg 2718847 33028286 http://cds.cern.ch/record/2926351/files/202503-072_013.jpg 2718848 46418178 http://cds.cern.ch/record/2926351/files/202503-072_014.jpg 2718849 44033966 http://cds.cern.ch/record/2926351/files/202503-072_016.jpg 2718850 46049061 http://cds.cern.ch/record/2926351/files/202503-072_018.jpg 2718851 43903152 http://cds.cern.ch/record/2926351/files/202503-072_019.jpg 2718852 43045301 http://cds.cern.ch/record/2926351/files/202503-072_020.jpg 2718853 46501085 http://cds.cern.ch/record/2926351/files/202503-072_022.jpg 2718854 45085149 http://cds.cern.ch/record/2926351/files/202503-072_023.jpg 2718855 39697118 http://cds.cern.ch/record/2926351/files/202503-072_025.jpg 2718856 41959503 http://cds.cern.ch/record/2926351/files/202503-072_026.jpg 2718857 35657181 http://cds.cern.ch/record/2926351/files/202503-072_027.jpg 2718858 24033015 http://cds.cern.ch/record/2926351/files/202503-072_029.jpg 2718859 31216570 http://cds.cern.ch/record/2926351/files/202503-072_030.jpg 2718860 31513622 http://cds.cern.ch/record/2926351/files/202503-072_031.jpg 2718861 37878821 http://cds.cern.ch/record/2926351/files/202503-072_032.jpg 2718862 34937409 http://cds.cern.ch/record/2926351/files/202503-072_033.jpg 2718871 33205230 http://cds.cern.ch/record/2926351/files/202503-072_050.jpg 2718872 34738326 http://cds.cern.ch/record/2926351/files/202503-072_051.jpg 2718873 28933191 http://cds.cern.ch/record/2926351/files/202503-072_054.jpg 2718880 49138271 http://cds.cern.ch/record/2926351/files/202503-072_078.jpg 2718881 48002520 http://cds.cern.ch/record/2926351/files/202503-072_079.jpg 2718882 45237617 http://cds.cern.ch/record/2926351/files/202503-072_080.jpg 2718890 37771235 http://cds.cern.ch/record/2926351/files/202503-072_089.jpg 2718894 30164153 http://cds.cern.ch/record/2926351/files/202503-072_095.jpg 2718896 34590372 http://cds.cern.ch/record/2926351/files/202503-072_100.jpg 2718898 36314472 http://cds.cern.ch/record/2926351/files/202503-072_103.jpg 2718899 33652344 http://cds.cern.ch/record/2926351/files/202503-072_105.jpg 2718900 33425003 http://cds.cern.ch/record/2926351/files/202503-072_106.jpg 2718901 32498705 http://cds.cern.ch/record/2926351/files/202503-072_107.jpg 2718902 30416671 http://cds.cern.ch/record/2926351/files/202503-072_108.jpg 2718844 35022283 http://cds.cern.ch/record/2926351/files/202503-072_001.jpg 2718863 30754069 http://cds.cern.ch/record/2926351/files/202503-072_034.jpg 2718864 33586946 http://cds.cern.ch/record/2926351/files/202503-072_035.jpg 2718865 29513749 http://cds.cern.ch/record/2926351/files/202503-072_036.jpg 2718866 34669378 http://cds.cern.ch/record/2926351/files/202503-072_037.jpg 2718867 34953860 http://cds.cern.ch/record/2926351/files/202503-072_038.jpg 2718868 40018489 http://cds.cern.ch/record/2926351/files/202503-072_039.jpg 2718869 32063426 http://cds.cern.ch/record/2926351/files/202503-072_040.jpg 2718870 45330817 http://cds.cern.ch/record/2926351/files/202503-072_042.jpg 2718874 30937901 http://cds.cern.ch/record/2926351/files/202503-072_055.jpg 2718875 41215380 http://cds.cern.ch/record/2926351/files/202503-072_056.jpg 2718876 37208009 http://cds.cern.ch/record/2926351/files/202503-072_059.jpg 2718877 40805835 http://cds.cern.ch/record/2926351/files/202503-072_061.jpg 2718878 36938903 http://cds.cern.ch/record/2926351/files/202503-072_069.jpg 2718879 36109140 http://cds.cern.ch/record/2926351/files/202503-072_071.jpg 2718883 31408781 http://cds.cern.ch/record/2926351/files/202503-072_081.jpg 2718884 43334325 http://cds.cern.ch/record/2926351/files/202503-072_082.jpg 2718885 43855889 http://cds.cern.ch/record/2926351/files/202503-072_083.jpg 2718886 38762648 http://cds.cern.ch/record/2926351/files/202503-072_084.jpg 2718887 40284356 http://cds.cern.ch/record/2926351/files/202503-072_085.jpg 2718888 40562137 http://cds.cern.ch/record/2926351/files/202503-072_086.jpg 2718889 43106388 http://cds.cern.ch/record/2926351/files/202503-072_088.jpg 2718891 45900442 http://cds.cern.ch/record/2926351/files/202503-072_090.jpg 2718892 42637963 http://cds.cern.ch/record/2926351/files/202503-072_091.jpg 2718893 37020211 http://cds.cern.ch/record/2926351/files/202503-072_092.jpg 2718895 33231823 http://cds.cern.ch/record/2926351/files/202503-072_098.jpg 2718897 31297927 http://cds.cern.ch/record/2926351/files/202503-072_102.jpg 2718844 236167 http://cds.cern.ch/record/2926351/files/202503-072_001.jpg?subformat=icon-640 icon-640 2718844 752321 http://cds.cern.ch/record/2926351/files/202503-072_001.jpg?subformat=icon-1440 icon-1440 2718844 90381 http://cds.cern.ch/record/2926351/files/202503-072_001.jpg?subformat=icon-180 icon-180 2718845 234395 http://cds.cern.ch/record/2926351/files/202503-072_007.jpg?subformat=icon-640 icon-640 2718845 85460 http://cds.cern.ch/record/2926351/files/202503-072_007.jpg?subformat=icon-180 icon-180 2718845 876565 http://cds.cern.ch/record/2926351/files/202503-072_007.jpg?subformat=icon-1440 icon-1440 2718859 210221 http://cds.cern.ch/record/2926351/files/202503-072_030.jpg?subformat=icon-640 icon-640 2718859 613543 http://cds.cern.ch/record/2926351/files/202503-072_030.jpg?subformat=icon-1440 icon-1440 2718859 88741 http://cds.cern.ch/record/2926351/files/202503-072_030.jpg?subformat=icon-180 icon-180 2718861 292676 http://cds.cern.ch/record/2926351/files/202503-072_032.jpg?subformat=icon-640 icon-640 2718861 921780 http://cds.cern.ch/record/2926351/files/202503-072_032.jpg?subformat=icon-1440 icon-1440 2718861 94650 http://cds.cern.ch/record/2926351/files/202503-072_032.jpg?subformat=icon-180 icon-180 2718864 240192 http://cds.cern.ch/record/2926351/files/202503-072_035.jpg?subformat=icon-640 icon-640 2718864 735165 http://cds.cern.ch/record/2926351/files/202503-072_035.jpg?subformat=icon-1440 icon-1440 2718864 91359 http://cds.cern.ch/record/2926351/files/202503-072_035.jpg?subformat=icon-180 icon-180 2718865 196456 http://cds.cern.ch/record/2926351/files/202503-072_036.jpg?subformat=icon-640 icon-640 2718865 572205 http://cds.cern.ch/record/2926351/files/202503-072_036.jpg?subformat=icon-1440 icon-1440 2718865 86207 http://cds.cern.ch/record/2926351/files/202503-072_036.jpg?subformat=icon-180 icon-180 2718871 227221 http://cds.cern.ch/record/2926351/files/202503-072_050.jpg?subformat=icon-640 icon-640 2718871 685456 http://cds.cern.ch/record/2926351/files/202503-072_050.jpg?subformat=icon-1440 icon-1440 2718871 89057 http://cds.cern.ch/record/2926351/files/202503-072_050.jpg?subformat=icon-180 icon-180 2718872 226043 http://cds.cern.ch/record/2926351/files/202503-072_051.jpg?subformat=icon-640 icon-640 2718872 664109 http://cds.cern.ch/record/2926351/files/202503-072_051.jpg?subformat=icon-1440 icon-1440 2718872 90217 http://cds.cern.ch/record/2926351/files/202503-072_051.jpg?subformat=icon-180 icon-180 2718875 86247 http://cds.cern.ch/record/2926351/files/202503-072_056.jpg?subformat=icon-180 icon-180 2718876 198408 http://cds.cern.ch/record/2926351/files/202503-072_059.jpg?subformat=icon-640 icon-640 2718876 707162 http://cds.cern.ch/record/2926351/files/202503-072_059.jpg?subformat=icon-1440 icon-1440 2718876 83431 http://cds.cern.ch/record/2926351/files/202503-072_059.jpg?subformat=icon-180 icon-180 2718879 108532 http://cds.cern.ch/record/2926351/files/202503-072_071.jpg?subformat=icon-180 icon-180 2718879 1675008 http://cds.cern.ch/record/2926351/files/202503-072_071.jpg?subformat=icon-1440 icon-1440 2718879 424381 http://cds.cern.ch/record/2926351/files/202503-072_071.jpg?subformat=icon-640 icon-640 2718882 1148823 http://cds.cern.ch/record/2926351/files/202503-072_080.jpg?subformat=icon-1440 icon-1440 2718882 324170 http://cds.cern.ch/record/2926351/files/202503-072_080.jpg?subformat=icon-640 icon-640 2718882 96818 http://cds.cern.ch/record/2926351/files/202503-072_080.jpg?subformat=icon-180 icon-180 2718883 118151 http://cds.cern.ch/record/2926351/files/202503-072_081.jpg?subformat=icon-180 icon-180 2718883 2024308 http://cds.cern.ch/record/2926351/files/202503-072_081.jpg?subformat=icon-1440 icon-1440 2718883 528429 http://cds.cern.ch/record/2926351/files/202503-072_081.jpg?subformat=icon-640 icon-640 2718885 1126571 http://cds.cern.ch/record/2926351/files/202503-072_083.jpg?subformat=icon-1440 icon-1440 2718885 317480 http://cds.cern.ch/record/2926351/files/202503-072_083.jpg?subformat=icon-640 icon-640 2718885 97135 http://cds.cern.ch/record/2926351/files/202503-072_083.jpg?subformat=icon-180 icon-180 2718886 129272 http://cds.cern.ch/record/2926351/files/202503-072_084.jpg?subformat=icon-180 icon-180 2718886 2217899 http://cds.cern.ch/record/2926351/files/202503-072_084.jpg?subformat=icon-1440 icon-1440 2718886 602809 http://cds.cern.ch/record/2926351/files/202503-072_084.jpg?subformat=icon-640 icon-640 2718887 124869 http://cds.cern.ch/record/2926351/files/202503-072_085.jpg?subformat=icon-180 icon-180 2718887 2317545 http://cds.cern.ch/record/2926351/files/202503-072_085.jpg?subformat=icon-1440 icon-1440 2718887 607020 http://cds.cern.ch/record/2926351/files/202503-072_085.jpg?subformat=icon-640 icon-640 2718888 1080209 http://cds.cern.ch/record/2926351/files/202503-072_086.jpg?subformat=icon-1440 icon-1440 2718888 303257 http://cds.cern.ch/record/2926351/files/202503-072_086.jpg?subformat=icon-640 icon-640 2718888 93157 http://cds.cern.ch/record/2926351/files/202503-072_086.jpg?subformat=icon-180 icon-180 2718889 126812 http://cds.cern.ch/record/2926351/files/202503-072_088.jpg?subformat=icon-180 icon-180 2718889 2221280 http://cds.cern.ch/record/2926351/files/202503-072_088.jpg?subformat=icon-1440 icon-1440 2718889 587890 http://cds.cern.ch/record/2926351/files/202503-072_088.jpg?subformat=icon-640 icon-640 2718890 244180 http://cds.cern.ch/record/2926351/files/202503-072_089.jpg?subformat=icon-640 icon-640 2718890 87358 http://cds.cern.ch/record/2926351/files/202503-072_089.jpg?subformat=icon-180 icon-180 2718890 877871 http://cds.cern.ch/record/2926351/files/202503-072_089.jpg?subformat=icon-1440 icon-1440 2718896 236220 http://cds.cern.ch/record/2926351/files/202503-072_100.jpg?subformat=icon-640 icon-640 2718896 768755 http://cds.cern.ch/record/2926351/files/202503-072_100.jpg?subformat=icon-1440 icon-1440 2718896 87994 http://cds.cern.ch/record/2926351/files/202503-072_100.jpg?subformat=icon-180 icon-180 2718897 219906 http://cds.cern.ch/record/2926351/files/202503-072_102.jpg?subformat=icon-640 icon-640 2718897 686412 http://cds.cern.ch/record/2926351/files/202503-072_102.jpg?subformat=icon-1440 icon-1440 2718897 87357 http://cds.cern.ch/record/2926351/files/202503-072_102.jpg?subformat=icon-180 icon-180 2718898 302759 http://cds.cern.ch/record/2926351/files/202503-072_103.jpg?subformat=icon-640 icon-640 2718898 94774 http://cds.cern.ch/record/2926351/files/202503-072_103.jpg?subformat=icon-180 icon-180 2718898 987961 http://cds.cern.ch/record/2926351/files/202503-072_103.jpg?subformat=icon-1440 icon-1440 2718899 236767 http://cds.cern.ch/record/2926351/files/202503-072_105.jpg?subformat=icon-640 icon-640 2718899 732687 http://cds.cern.ch/record/2926351/files/202503-072_105.jpg?subformat=icon-1440 icon-1440 2718899 91699 http://cds.cern.ch/record/2926351/files/202503-072_105.jpg?subformat=icon-180 icon-180 2718900 246390 http://cds.cern.ch/record/2926351/files/202503-072_106.jpg?subformat=icon-640 icon-640 2718900 773745 http://cds.cern.ch/record/2926351/files/202503-072_106.jpg?subformat=icon-1440 icon-1440 2718900 91333 http://cds.cern.ch/record/2926351/files/202503-072_106.jpg?subformat=icon-180 icon-180 2718901 235945 http://cds.cern.ch/record/2926351/files/202503-072_107.jpg?subformat=icon-640 icon-640 2718901 731481 http://cds.cern.ch/record/2926351/files/202503-072_107.jpg?subformat=icon-1440 icon-1440 2718901 89973 http://cds.cern.ch/record/2926351/files/202503-072_107.jpg?subformat=icon-180 icon-180 2718846 107645 http://cds.cern.ch/record/2926351/files/202503-072_010.jpg?subformat=icon-180 icon-180 2718846 1708377 http://cds.cern.ch/record/2926351/files/202503-072_010.jpg?subformat=icon-1440 icon-1440 2718846 435234 http://cds.cern.ch/record/2926351/files/202503-072_010.jpg?subformat=icon-640 icon-640 2718847 253929 http://cds.cern.ch/record/2926351/files/202503-072_013.jpg?subformat=icon-640 icon-640 2718847 807705 http://cds.cern.ch/record/2926351/files/202503-072_013.jpg?subformat=icon-1440 icon-1440 2718847 90503 http://cds.cern.ch/record/2926351/files/202503-072_013.jpg?subformat=icon-180 icon-180 2718848 1090653 http://cds.cern.ch/record/2926351/files/202503-072_014.jpg?subformat=icon-1440 icon-1440 2718848 293070 http://cds.cern.ch/record/2926351/files/202503-072_014.jpg?subformat=icon-640 icon-640 2718848 92579 http://cds.cern.ch/record/2926351/files/202503-072_014.jpg?subformat=icon-180 icon-180 2718849 1061906 http://cds.cern.ch/record/2926351/files/202503-072_016.jpg?subformat=icon-1440 icon-1440 2718849 278552 http://cds.cern.ch/record/2926351/files/202503-072_016.jpg?subformat=icon-640 icon-640 2718849 90897 http://cds.cern.ch/record/2926351/files/202503-072_016.jpg?subformat=icon-180 icon-180 2718850 1051298 http://cds.cern.ch/record/2926351/files/202503-072_018.jpg?subformat=icon-1440 icon-1440 2718850 275174 http://cds.cern.ch/record/2926351/files/202503-072_018.jpg?subformat=icon-640 icon-640 2718850 89591 http://cds.cern.ch/record/2926351/files/202503-072_018.jpg?subformat=icon-180 icon-180 2718851 256433 http://cds.cern.ch/record/2926351/files/202503-072_019.jpg?subformat=icon-640 icon-640 2718851 89517 http://cds.cern.ch/record/2926351/files/202503-072_019.jpg?subformat=icon-180 icon-180 2718851 956839 http://cds.cern.ch/record/2926351/files/202503-072_019.jpg?subformat=icon-1440 icon-1440 2718852 257624 http://cds.cern.ch/record/2926351/files/202503-072_020.jpg?subformat=icon-640 icon-640 2718852 90330 http://cds.cern.ch/record/2926351/files/202503-072_020.jpg?subformat=icon-180 icon-180 2718852 940650 http://cds.cern.ch/record/2926351/files/202503-072_020.jpg?subformat=icon-1440 icon-1440 2718853 1191323 http://cds.cern.ch/record/2926351/files/202503-072_022.jpg?subformat=icon-1440 icon-1440 2718853 321369 http://cds.cern.ch/record/2926351/files/202503-072_022.jpg?subformat=icon-640 icon-640 2718853 94119 http://cds.cern.ch/record/2926351/files/202503-072_022.jpg?subformat=icon-180 icon-180 2718854 244932 http://cds.cern.ch/record/2926351/files/202503-072_023.jpg?subformat=icon-640 icon-640 2718854 85894 http://cds.cern.ch/record/2926351/files/202503-072_023.jpg?subformat=icon-180 icon-180 2718854 949248 http://cds.cern.ch/record/2926351/files/202503-072_023.jpg?subformat=icon-1440 icon-1440 2718855 1014827 http://cds.cern.ch/record/2926351/files/202503-072_025.jpg?subformat=icon-1440 icon-1440 2718855 293860 http://cds.cern.ch/record/2926351/files/202503-072_025.jpg?subformat=icon-640 icon-640 2718855 94553 http://cds.cern.ch/record/2926351/files/202503-072_025.jpg?subformat=icon-180 icon-180 2718856 1012898 http://cds.cern.ch/record/2926351/files/202503-072_026.jpg?subformat=icon-1440 icon-1440 2718856 297883 http://cds.cern.ch/record/2926351/files/202503-072_026.jpg?subformat=icon-640 icon-640 2718856 95615 http://cds.cern.ch/record/2926351/files/202503-072_026.jpg?subformat=icon-180 icon-180 2718857 106840 http://cds.cern.ch/record/2926351/files/202503-072_027.jpg?subformat=icon-180 icon-180 2718857 1541801 http://cds.cern.ch/record/2926351/files/202503-072_027.jpg?subformat=icon-1440 icon-1440 2718857 399334 http://cds.cern.ch/record/2926351/files/202503-072_027.jpg?subformat=icon-640 icon-640 2718858 193864 http://cds.cern.ch/record/2926351/files/202503-072_029.jpg?subformat=icon-640 icon-640 2718858 549706 http://cds.cern.ch/record/2926351/files/202503-072_029.jpg?subformat=icon-1440 icon-1440 2718858 85677 http://cds.cern.ch/record/2926351/files/202503-072_029.jpg?subformat=icon-180 icon-180 2718860 214936 http://cds.cern.ch/record/2926351/files/202503-072_031.jpg?subformat=icon-640 icon-640 2718860 674082 http://cds.cern.ch/record/2926351/files/202503-072_031.jpg?subformat=icon-1440 icon-1440 2718860 86416 http://cds.cern.ch/record/2926351/files/202503-072_031.jpg?subformat=icon-180 icon-180 2718862 226453 http://cds.cern.ch/record/2926351/files/202503-072_033.jpg?subformat=icon-640 icon-640 2718862 735367 http://cds.cern.ch/record/2926351/files/202503-072_033.jpg?subformat=icon-1440 icon-1440 2718862 87447 http://cds.cern.ch/record/2926351/files/202503-072_033.jpg?subformat=icon-180 icon-180 2718863 226566 http://cds.cern.ch/record/2926351/files/202503-072_034.jpg?subformat=icon-640 icon-640 2718863 689119 http://cds.cern.ch/record/2926351/files/202503-072_034.jpg?subformat=icon-1440 icon-1440 2718863 90901 http://cds.cern.ch/record/2926351/files/202503-072_034.jpg?subformat=icon-180 icon-180 2718866 218656 http://cds.cern.ch/record/2926351/files/202503-072_037.jpg?subformat=icon-640 icon-640 2718866 666740 http://cds.cern.ch/record/2926351/files/202503-072_037.jpg?subformat=icon-1440 icon-1440 2718866 89492 http://cds.cern.ch/record/2926351/files/202503-072_037.jpg?subformat=icon-180 icon-180 2718867 113476 http://cds.cern.ch/record/2926351/files/202503-072_038.jpg?subformat=icon-180 icon-180 2718867 1627465 http://cds.cern.ch/record/2926351/files/202503-072_038.jpg?subformat=icon-1440 icon-1440 2718867 450612 http://cds.cern.ch/record/2926351/files/202503-072_038.jpg?subformat=icon-640 icon-640 2718868 118645 http://cds.cern.ch/record/2926351/files/202503-072_039.jpg?subformat=icon-180 icon-180 2718868 1839090 http://cds.cern.ch/record/2926351/files/202503-072_039.jpg?subformat=icon-1440 icon-1440 2718868 491446 http://cds.cern.ch/record/2926351/files/202503-072_039.jpg?subformat=icon-640 icon-640 2718869 197177 http://cds.cern.ch/record/2926351/files/202503-072_040.jpg?subformat=icon-640 icon-640 2718869 571971 http://cds.cern.ch/record/2926351/files/202503-072_040.jpg?subformat=icon-1440 icon-1440 2718869 87130 http://cds.cern.ch/record/2926351/files/202503-072_040.jpg?subformat=icon-180 icon-180 2718870 104807 http://cds.cern.ch/record/2926351/files/202503-072_042.jpg?subformat=icon-180 icon-180 2718870 1895553 http://cds.cern.ch/record/2926351/files/202503-072_042.jpg?subformat=icon-1440 icon-1440 2718870 426008 http://cds.cern.ch/record/2926351/files/202503-072_042.jpg?subformat=icon-640 icon-640 2718873 152111 http://cds.cern.ch/record/2926351/files/202503-072_054.jpg?subformat=icon-640 icon-640 2718873 436327 http://cds.cern.ch/record/2926351/files/202503-072_054.jpg?subformat=icon-1440 icon-1440 2718873 79670 http://cds.cern.ch/record/2926351/files/202503-072_054.jpg?subformat=icon-180 icon-180 2718874 204011 http://cds.cern.ch/record/2926351/files/202503-072_055.jpg?subformat=icon-640 icon-640 2718874 638548 http://cds.cern.ch/record/2926351/files/202503-072_055.jpg?subformat=icon-1440 icon-1440 2718874 85101 http://cds.cern.ch/record/2926351/files/202503-072_055.jpg?subformat=icon-180 icon-180 2718875 221558 http://cds.cern.ch/record/2926351/files/202503-072_056.jpg?subformat=icon-640 icon-640 2718875 797834 http://cds.cern.ch/record/2926351/files/202503-072_056.jpg?subformat=icon-1440 icon-1440 2718877 287048 http://cds.cern.ch/record/2926351/files/202503-072_061.jpg?subformat=icon-640 icon-640 2718877 939649 http://cds.cern.ch/record/2926351/files/202503-072_061.jpg?subformat=icon-1440 icon-1440 2718877 94402 http://cds.cern.ch/record/2926351/files/202503-072_061.jpg?subformat=icon-180 icon-180 2718878 267305 http://cds.cern.ch/record/2926351/files/202503-072_069.jpg?subformat=icon-640 icon-640 2718878 869609 http://cds.cern.ch/record/2926351/files/202503-072_069.jpg?subformat=icon-1440 icon-1440 2718878 91956 http://cds.cern.ch/record/2926351/files/202503-072_069.jpg?subformat=icon-180 icon-180 2718880 1305802 http://cds.cern.ch/record/2926351/files/202503-072_078.jpg?subformat=icon-1440 icon-1440 2718880 353178 http://cds.cern.ch/record/2926351/files/202503-072_078.jpg?subformat=icon-640 icon-640 2718880 98800 http://cds.cern.ch/record/2926351/files/202503-072_078.jpg?subformat=icon-180 icon-180 2718881 1242202 http://cds.cern.ch/record/2926351/files/202503-072_079.jpg?subformat=icon-1440 icon-1440 2718881 334925 http://cds.cern.ch/record/2926351/files/202503-072_079.jpg?subformat=icon-640 icon-640 2718881 97187 http://cds.cern.ch/record/2926351/files/202503-072_079.jpg?subformat=icon-180 icon-180 2718884 123493 http://cds.cern.ch/record/2926351/files/202503-072_082.jpg?subformat=icon-180 icon-180 2718884 2249205 http://cds.cern.ch/record/2926351/files/202503-072_082.jpg?subformat=icon-1440 icon-1440 2718884 573476 http://cds.cern.ch/record/2926351/files/202503-072_082.jpg?subformat=icon-640 icon-640 2718891 125756 http://cds.cern.ch/record/2926351/files/202503-072_090.jpg?subformat=icon-180 icon-180 2718891 2458944 http://cds.cern.ch/record/2926351/files/202503-072_090.jpg?subformat=icon-1440 icon-1440 2718891 608152 http://cds.cern.ch/record/2926351/files/202503-072_090.jpg?subformat=icon-640 icon-640 2718892 121672 http://cds.cern.ch/record/2926351/files/202503-072_091.jpg?subformat=icon-180 icon-180 2718892 2080993 http://cds.cern.ch/record/2926351/files/202503-072_091.jpg?subformat=icon-1440 icon-1440 2718892 546982 http://cds.cern.ch/record/2926351/files/202503-072_091.jpg?subformat=icon-640 icon-640 2718893 122660 http://cds.cern.ch/record/2926351/files/202503-072_092.jpg?subformat=icon-180 icon-180 2718893 2228641 http://cds.cern.ch/record/2926351/files/202503-072_092.jpg?subformat=icon-1440 icon-1440 2718893 577345 http://cds.cern.ch/record/2926351/files/202503-072_092.jpg?subformat=icon-640 icon-640 2718894 170790 http://cds.cern.ch/record/2926351/files/202503-072_095.jpg?subformat=icon-640 icon-640 2718894 538587 http://cds.cern.ch/record/2926351/files/202503-072_095.jpg?subformat=icon-1440 icon-1440 2718894 80255 http://cds.cern.ch/record/2926351/files/202503-072_095.jpg?subformat=icon-180 icon-180 2718895 250925 http://cds.cern.ch/record/2926351/files/202503-072_098.jpg?subformat=icon-640 icon-640 2718895 782311 http://cds.cern.ch/record/2926351/files/202503-072_098.jpg?subformat=icon-1440 icon-1440 2718895 92270 http://cds.cern.ch/record/2926351/files/202503-072_098.jpg?subformat=icon-180 icon-180 2718902 232915 http://cds.cern.ch/record/2926351/files/202503-072_108.jpg?subformat=icon-640 icon-640 2718902 717811 http://cds.cern.ch/record/2926351/files/202503-072_108.jpg?subformat=icon-1440 icon-1440 2718902 89117 http://cds.cern.ch/record/2926351/files/202503-072_108.jpg?subformat=icon-180 icon-180 2721698 50334424 http://cds.cern.ch/record/2926351/files/202503-072_109.jpg 2721699 55052393 http://cds.cern.ch/record/2926351/files/202503-072_112.jpg 2721700 58312458 http://cds.cern.ch/record/2926351/files/202503-072_113.jpg 2721701 41009442 http://cds.cern.ch/record/2926351/files/202503-072_115.jpg 2721702 41445066 http://cds.cern.ch/record/2926351/files/202503-072_117.jpg 2721704 43586578 http://cds.cern.ch/record/2926351/files/202503-072_122.jpg 2721705 54939891 http://cds.cern.ch/record/2926351/files/202503-072_129.jpg 2721706 50867701 http://cds.cern.ch/record/2926351/files/202503-072_134.jpg 2721707 44830142 http://cds.cern.ch/record/2926351/files/202503-072_136.jpg 2721708 40581830 http://cds.cern.ch/record/2926351/files/202503-072_139.jpg 2721709 39554635 http://cds.cern.ch/record/2926351/files/202503-072_142.jpg 2721710 42189453 http://cds.cern.ch/record/2926351/files/202503-072_147.jpg 2721711 38982760 http://cds.cern.ch/record/2926351/files/202503-072_150.jpg 2721712 52072717 http://cds.cern.ch/record/2926351/files/202503-072_151.jpg 2721713 49631393 http://cds.cern.ch/record/2926351/files/202503-072_152.jpg 2721714 45416607 http://cds.cern.ch/record/2926351/files/202503-072_153.jpg 2721715 41086981 http://cds.cern.ch/record/2926351/files/202503-072_156.jpg 2721698 100993 http://cds.cern.ch/record/2926351/files/202503-072_109.jpg?subformat=icon-180 icon-180 2721698 1151306 http://cds.cern.ch/record/2926351/files/202503-072_109.jpg?subformat=icon-1440 icon-1440 2721698 337779 http://cds.cern.ch/record/2926351/files/202503-072_109.jpg?subformat=icon-640 icon-640 2721700 1172339 http://cds.cern.ch/record/2926351/files/202503-072_113.jpg?subformat=icon-1440 icon-1440 2721700 306154 http://cds.cern.ch/record/2926351/files/202503-072_113.jpg?subformat=icon-640 icon-640 2721700 94323 http://cds.cern.ch/record/2926351/files/202503-072_113.jpg?subformat=icon-180 icon-180 2721704 281029 http://cds.cern.ch/record/2926351/files/202503-072_122.jpg?subformat=icon-640 icon-640 2721704 95058 http://cds.cern.ch/record/2926351/files/202503-072_122.jpg?subformat=icon-180 icon-180 2721704 963046 http://cds.cern.ch/record/2926351/files/202503-072_122.jpg?subformat=icon-1440 icon-1440 2721705 1166028 http://cds.cern.ch/record/2926351/files/202503-072_129.jpg?subformat=icon-1440 icon-1440 2721705 306731 http://cds.cern.ch/record/2926351/files/202503-072_129.jpg?subformat=icon-640 icon-640 2721705 95750 http://cds.cern.ch/record/2926351/files/202503-072_129.jpg?subformat=icon-180 icon-180 2721707 102545 http://cds.cern.ch/record/2926351/files/202503-072_136.jpg?subformat=icon-180 icon-180 2721707 1097316 http://cds.cern.ch/record/2926351/files/202503-072_136.jpg?subformat=icon-1440 icon-1440 2721707 335256 http://cds.cern.ch/record/2926351/files/202503-072_136.jpg?subformat=icon-640 icon-640 2721709 230610 http://cds.cern.ch/record/2926351/files/202503-072_142.jpg?subformat=icon-640 icon-640 2721709 789728 http://cds.cern.ch/record/2926351/files/202503-072_142.jpg?subformat=icon-1440 icon-1440 2721709 89376 http://cds.cern.ch/record/2926351/files/202503-072_142.jpg?subformat=icon-180 icon-180 2721711 101608 http://cds.cern.ch/record/2926351/files/202503-072_150.jpg?subformat=icon-180 icon-180 2721711 1103383 http://cds.cern.ch/record/2926351/files/202503-072_150.jpg?subformat=icon-1440 icon-1440 2721711 326988 http://cds.cern.ch/record/2926351/files/202503-072_150.jpg?subformat=icon-640 icon-640 2721713 128686 http://cds.cern.ch/record/2926351/files/202503-072_152.jpg?subformat=icon-180 icon-180 2721713 619371 http://cds.cern.ch/record/2926351/files/202503-072_152.jpg?subformat=icon-640 icon-640 2721699 1065768 http://cds.cern.ch/record/2926351/files/202503-072_112.jpg?subformat=icon-1440 icon-1440 2721699 305263 http://cds.cern.ch/record/2926351/files/202503-072_112.jpg?subformat=icon-640 icon-640 2721699 98125 http://cds.cern.ch/record/2926351/files/202503-072_112.jpg?subformat=icon-180 icon-180 2721701 295433 http://cds.cern.ch/record/2926351/files/202503-072_115.jpg?subformat=icon-640 icon-640 2721701 95155 http://cds.cern.ch/record/2926351/files/202503-072_115.jpg?subformat=icon-180 icon-180 2721701 970642 http://cds.cern.ch/record/2926351/files/202503-072_115.jpg?subformat=icon-1440 icon-1440 2721702 1104380 http://cds.cern.ch/record/2926351/files/202503-072_117.jpg?subformat=icon-1440 icon-1440 2721702 306388 http://cds.cern.ch/record/2926351/files/202503-072_117.jpg?subformat=icon-640 icon-640 2721702 93951 http://cds.cern.ch/record/2926351/files/202503-072_117.jpg?subformat=icon-180 icon-180 2721706 1189203 http://cds.cern.ch/record/2926351/files/202503-072_134.jpg?subformat=icon-1440 icon-1440 2721706 319183 http://cds.cern.ch/record/2926351/files/202503-072_134.jpg?subformat=icon-640 icon-640 2721706 95183 http://cds.cern.ch/record/2926351/files/202503-072_134.jpg?subformat=icon-180 icon-180 2721708 270641 http://cds.cern.ch/record/2926351/files/202503-072_139.jpg?subformat=icon-640 icon-640 2721708 923609 http://cds.cern.ch/record/2926351/files/202503-072_139.jpg?subformat=icon-1440 icon-1440 2721708 93735 http://cds.cern.ch/record/2926351/files/202503-072_139.jpg?subformat=icon-180 icon-180 2721710 286901 http://cds.cern.ch/record/2926351/files/202503-072_147.jpg?subformat=icon-640 icon-640 2721710 95143 http://cds.cern.ch/record/2926351/files/202503-072_147.jpg?subformat=icon-180 icon-180 2721710 978185 http://cds.cern.ch/record/2926351/files/202503-072_147.jpg?subformat=icon-1440 icon-1440 2721712 128936 http://cds.cern.ch/record/2926351/files/202503-072_151.jpg?subformat=icon-180 icon-180 2721712 2600065 http://cds.cern.ch/record/2926351/files/202503-072_151.jpg?subformat=icon-1440 icon-1440 2721712 630087 http://cds.cern.ch/record/2926351/files/202503-072_151.jpg?subformat=icon-640 icon-640 2721713 2561985 http://cds.cern.ch/record/2926351/files/202503-072_152.jpg?subformat=icon-1440 icon-1440 2721714 1128732 http://cds.cern.ch/record/2926351/files/202503-072_153.jpg?subformat=icon-1440 icon-1440 2721714 311171 http://cds.cern.ch/record/2926351/files/202503-072_153.jpg?subformat=icon-640 icon-640 2721714 95121 http://cds.cern.ch/record/2926351/files/202503-072_153.jpg?subformat=icon-180 icon-180 2721715 124953 http://cds.cern.ch/record/2926351/files/202503-072_156.jpg?subformat=icon-180 icon-180 2721715 2175293 http://cds.cern.ch/record/2926351/files/202503-072_156.jpg?subformat=icon-1440 icon-1440 2721715 555941 http://cds.cern.ch/record/2926351/files/202503-072_156.jpg?subformat=icon-640 icon-640 2723815 46303126 http://cds.cern.ch/record/2926351/files/1A-202503-072_119.jpg 2723815 272219 http://cds.cern.ch/record/2926351/files/1A-202503-072_119.jpg?subformat=icon-640 icon-640 2723815 93618 http://cds.cern.ch/record/2926351/files/1A-202503-072_119.jpg?subformat=icon-180 icon-180 2723815 963897 http://cds.cern.ch/record/2926351/files/1A-202503-072_119.jpg?subformat=icon-1440 icon-1440 marina.cavazza@cern.ch jimmy.poulaillon@cern.ch yuri.tanaka@cern.ch n 202511 CERN IdeaSquare (building 3179) Jimmy Poulaillon <jimmy.poulaillon@cern.ch> CERN IdeaSquare (building 3179) Yuri Tanaka <yuri.tanaka@cern.ch> 86 PUBLIC VISIBLE PHOTOLABCERN 2926332 SzGeCERN 20250515232642.0 oai:cds.cern.ch:2926332 cerncds:THESES INIS cerncds:CERN cerncds:BOOK fre Baudry, Françoise CNAM, Paris Measurement uncertainty estimation methods for pursuit lasers Méthode d'estimation des incertitudes de mesure pour les lasers de poursuite 1999 07/09/1999 36 p paper Presented 07 Sep 1999 Diploma CNAM, Paris 1999 The measurement of a quantity does not allow to obtain the true value of this quantity. The result of measure is therefore accompanied by a complementary indication: its uncertainty of measurements. It gives the interval around the measured value containing the true value. The uncertainity of measurements is to estimate for each method and each measuring instrument. Concerning tracker laser, those equipment have an uncertainty of about 70 \mu m. This value takes in account only the measure aquipment, it is therefore to degrade following the object to measure and environmental conditions. Le mesurage d'une grandeur ne permet pas d'obtenir la valeur vraie de cette grandeur. Le résultat de mesure est donc accompagné d'une indication complémentaire : son incertitude de mesure. Celle-ci donne l'intervalle autour de la valeur mesurée contenant la valeur vraie. L'incertitude de mesure est à estimer pour chaque méthode de mesurage et chaque instrument de mesure. En ce qui concerne les lasers de poursuites, ces équipements ont une incertitude d'environ 70 \mu m. Cette valeur ne prend en compte que l'équipement de mesure, elle est donc à dégrader suivant l'objet à mesurer et les conditions environnementales. ILSLINK ILSSYNC SzGeCERN Engineering Uncertainity of measurements freedom from bias repeatability reproductibility gauging tracker laser interferometer distance meter CERN THESIS 14 https://repository.cern/legacy/record/2926332 THESIS MIGRATED 2925953 20260313143912.0 oai:cds.cern.ch:2925953 cerncds:TALK eng Indico 3169 CERN. Geneva 2025 CERN openlab Technical Workshop CERN - 503/1-001 - Council Chamber 2025-03-04T16:25:00 2025-03-04T16:40:00 1440389c11 Environmental Efficiency of Tape Storage at CERN 2025 2025-03-04 1021 Streaming video Workshops and Training 2025 CERN openlab Technical Workshop 2025-03-04T16:25:00 CERN 2025 Workshops and Training Event TALK CERN Bahyl, Vladimir speaker CERN https://indico.cern.ch/event/1440389/contributions/6364359/ Talk details https://indico.cern.ch/event/1440389/ Event details MediaArchive /mnt/master_share/master_data/2025/1440389c11 Absolute master path MediaArchive https://lecturemedia.cern.ch/2025/1440389c11/1440389c11-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1099146 MediaArchive https://lecturemedia.cern.ch/2025/1440389c11/1440389c11-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 661439 MediaArchive https://lecturemedia.cern.ch/2025/1440389c11/1440389c11-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 277101 MediaArchive https://lecturemedia.cern.ch/2025/1440389c11/1440389c11-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 122431 MediaArchive https://lecturemedia.cern.ch/2025/1440389c11/1440389c11-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 77129 MediaArchive https://lecturemedia.cern.ch/2025/1440389c11/1440389c11-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 260232 MediaArchive https://lecturemedia.cern.ch/2025/1440389c11/1440389c11-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3018952 MediaArchive https://lecturemedia.cern.ch/2025/1440389c11/1440389c11-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 946691 kristina.ulrika.gunne@cern.ch 2024-07-22T09:41:48 2025-03-05T13:39:57 PUBLIC INDICO.1440389c11 https://videos.cern.ch/legacy/record/2925953 Indico TALK MIGRATED 2930437 20250528121937.0 oai:cds.cern.ch:2930437 cerncds:FULLTEXT INSPIRE 2924700 ATL-MUON-PROC-2025-008 eng ATL-COM-MUON-2025-013 AUTHOR|(CDS)2086470 Simsek, Sinem sinem.sahin@cern.ch Istinye University (TR) ATLAS collaboration Performance and longevity of ATLAS RPCs with new lower GWP mixtures 2025 Geneva CERN 22 Apr 2025 4 p Resistive Plate Chambers (RPCs) are critical components of the muon systems of most HL-LHC experiments. Until 2023, all HL-LHC RPC systems used a so-called standard mixture (STD), consisting of 94.7\% C$_{2}$H$_{2}$F$_{4}$ (Tetrafluoroethane - R134a), 5\% i-C$_{4}$H$_{10}$ (Isobutane), and 0.3\% SF$_{6}$ (Sulfur Hexafluoride), highly tuned for RPC performance but having very high global warming potential (GWP). The environmental impact and the increasing difficulty in procuring these types of fluorinated gases imposes to pursue a solution for the long-term experiment plans, such as a new mixture having a lower GWP and preserving, as well, the detector performance and longevity. In the last 2 years, ATLAS muons have been following such strategy, progressively replacing TFE (GWP: 1430) with CO$_{2}$ (GWP: 1), and validating the choice with extensive ageing tests performed on realistic ATLAS RPC prototypes. This led ATLAS to be the first experiment replacing the RPC gas mixture in July 2023 with a new mixture, where 30\% of TFE has been replaced with CO$_{2}$; the ATLAS RPC system behavior has been since then studied carefully, to spot in vivo any eventual sign of accelerated ageing. More challenging perspectives, presently under validation, prior to apply them in the experiment, include a further reduction of TFE to 40\%, and a lowering, or a total replacement of SF$_{6}$, which GWP (23800) is extremely high. We will report the experience of this 2-year-long performance and longevity study, including the results of one full HL-LHC year of the ATLAS RPC system with the new gas. PROC CERN CDS-Invenio WebSubmit For annual report SzGeCERN Particle Physics - Experiment SzGeCERN Muon CERN ATLAS CERN Resistive Plate Chambers CERN Ecogas CERN INTNOTE PRIVATLAS INTNOTEATLASPUBL CERN LHC ATLAS PH-EP ATLAS Collaboration http://cds.cern.ch/record/2927607 Original Communication (restricted to ATLAS) 2728204 1117806 http://cds.cern.ch/record/2930437/files/ATL-MUON-PROC-2025-008.pdf Stamped by WebSubmit: 22/04/2025 Preprint 2728204 120017 http://cds.cern.ch/record/2930437/files/ATL-MUON-PROC-2025-008.jpg?subformat=icon-180 icon-180 Preprint Stamped by WebSubmit: 22/04/2025 2728204 264187 http://cds.cern.ch/record/2930437/files/ATL-MUON-PROC-2025-008.jpg?subformat=icon-1440 icon-1440 Preprint Stamped by WebSubmit: 22/04/2025 2728204 264187 http://cds.cern.ch/record/2930437/files/ATL-MUON-PROC-2025-008.jpg?subformat=icon-640 icon-640 Preprint Stamped by WebSubmit: 22/04/2025 2728204 264187 http://cds.cern.ch/record/2930437/files/ATL-MUON-PROC-2025-008.jpg?subformat=icon-700 icon-700 Preprint Stamped by WebSubmit: 22/04/2025 2728204 77581 http://cds.cern.ch/record/2930437/files/ATL-MUON-PROC-2025-008.gif?subformat=icon icon Preprint Stamped by WebSubmit: 22/04/2025 sinem.sahin@cern.ch Giulio.Aielli@cern.ch serkant.cetin@cern.ch n 202570 91 PUBLIC 000786392CER INTNOTEATLASPUBL ConferencePaper 2930372 20251217215527.0 DOI Elsevier B.V. 10.1016/j.nima.2025.170506 publication oai:cds.cern.ch:2930372 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2504.08991 Inspire oai:inspirehep.net:2911578 2025-09-25T18:58:34Z 2025-09-26T02:00:04Z marcxml true https://inspirehep.net/api/oai2d Inspire 2911578 arXiv arXiv:2504.08991 hep-ex eng Dimitrov, A. anton.dimitrov@cern.ch Sofiya U. Faculty of Physics, University of Sofia, Sofia, Bulgaria Elsevier B.V. CMS RPC non-physics event data automation ideology 2025-04-13 2025-04-11 12 p arXiv CMS RPC Condition Data Automation, Java framework, 12 pages, 23 figures, CMS Condition database Elsevier B.V. This paper presents a streamlined framework for real-time processing and analysis of condition data from the CMS experiment Resistive Plate Chambers (RPC). Leveraging data streaming, it uncovers correlations between RPC performance metrics, like currents and rates, and LHC luminosity or environmental conditions. The Java-based framework automates data handling and predictive modeling, integrating extensive datasets into synchronized, query-optimized tables. By segmenting LHC operations and analyzing larger virtual detector objects, the automation enhances monitoring precision, accelerates visualization, and provides predictive insights, revolutionizing RPC performance evaluation and future behavior modeling. arXiv This paper presents a streamlined framework for real-time processing and analysis of condition data from the CMS experiment Resistive Plate Chambers (RPC). Leveraging data streaming, it uncovers correlations between RPC performance metrics, like currents and rates, and LHC luminosity or environmental conditions. The Java-based framework automates data handling and predictive modeling, integrating extensive datasets into synchronized, query-optimized tables. By segmenting LHC operations and analyzing larger virtual detector objects, the automation enhances monitoring precision, accelerates visualization, and provides predictive insights, revolutionizing RPC performance evaluation and future behavior modeling. preprint CC BY-NC-ND 4.0 http://creativecommons.org/licenses/by-nc-nd/4.0/ publication Elsevier B.V. 2025 HAL For annual report SzGeCERN Detectors and Experimental Techniques SzGeCERN Particle Physics - Experiment CERN ARTICLE CERN LHC CMS Tytgat, M. Vrije U., Brussels Vrije Universiteit Brussel, Brussel, Belgium Mota Amarilo, K. Gent U. Universiteit Gent, Gent, Belgium Samalan, A. Gent U. Universiteit Gent, Gent, Belgium Skovpen, K. Gent U. Universiteit Gent, Gent, Belgium Alves, G.A. Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Fisicas, Rio de Janeiro, Brazil Coelho, E. Alves Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Fisicas, Rio de Janeiro, Brazil da Silva, F. Marujo Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Fisicas, Rio de Janeiro, Brazil Filho, M. Barroso Ferreira Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil Da Costa, E.M. Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil Damiao, D. De Jesus Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil De Souza, S. Fonseca Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil De Souza, R. Gomes Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil Mundim, L. Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil Nogima, H. Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil Pinheiro, J.P. Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil Santoro, A. Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil Thiel, M. Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil Aleksandrov, A. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Hadjiiska, R. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Iaydjiev, P. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Shopova, M. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Sultanov, G. Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria Litov, L. Sofiya U. Faculty of Physics, University of Sofia, Sofia, Bulgaria Pavlov, B. Sofiya U. Faculty of Physics, University of Sofia, Sofia, Bulgaria Petkov, P. Sofiya U. Faculty of Physics, University of Sofia, Sofia, Bulgaria Petrov, A. Sofiya U. Faculty of Physics, University of Sofia, Sofia, Bulgaria Shumka, E. Sofiya U. Faculty of Physics, University of Sofia, Sofia, Bulgaria Cao, P. Beijing, Inst. High Energy Phys. Institute of High Energy Physics and University of the Chinese Academy of Sciences, Beijing, China Diao, W. Beijing, Inst. High Energy Phys. Institute of High Energy Physics and University of the Chinese Academy of Sciences, Beijing, China Hou, Q. Beijing, Inst. High Energy Phys. Institute of High Energy Physics and University of the Chinese Academy of Sciences, Beijing, China Kou, H. Beijing, Inst. High Energy Phys. Institute of High Energy Physics and University of the Chinese Academy of Sciences, Beijing, China Liu, Z.-A. Beijing, Inst. High Energy Phys. Institute of High Energy Physics and University of the Chinese Academy of Sciences, Beijing, China Song, J. Beijing, Inst. High Energy Phys. Institute of High Energy Physics and University of the Chinese Academy of Sciences, Beijing, China Zhao, J. Beijing, Inst. High Energy Phys. Institute of High Energy Physics and University of the Chinese Academy of Sciences, Beijing, China Qian, S.J. Peking U. School of Physics, Peking University, Beijing, China Avila, C. Andes U., Bogota Universidad de Los Andes, Bogota, Colombia Trujillo, D.A. Barbosa Andes U., Bogota Universidad de Los Andes, Bogota, Colombia Cabrera, A. Andes U., Bogota Universidad de Los Andes, Bogota, Colombia Florez, C.A. Andes U., Bogota Universidad de Los Andes, Bogota, Colombia Vega, J.A. Reyes Andes U., Bogota Universidad de Los Andes, Bogota, Colombia Aly, R. Cairo U. British U. in Egypt Physics Department, Faculty of science, Helwan University, Cairo, Egypt The British University in Egypt, Cairo, Egypt Radi, A. Ain Shams U., Cairo Department of Physics, Faculty of Science, Ain Shams University, Cairo, Egypt Assran, Y. British U. in Egypt The British University in Egypt, Cairo, Egypt Crotty, I. Fayoum U. Center for High Energy Physics (CHEP-FU), Fayoum University, El-Fayoum, Egypt Mahmoud, M.A. Fayoum U. Center for High Energy Physics (CHEP-FU), Fayoum University, El-Fayoum, Egypt Gouzevitch, M. IP2I, Lyon Institut de Physique des 2 Infinis de Lyon, Villeurbanne, France Grenier, G. IP2I, Lyon Institut de Physique des 2 Infinis de Lyon, Villeurbanne, France Laktineh, I.B. IP2I, Lyon Institut de Physique des 2 Infinis de Lyon, Villeurbanne, France Mirabito, L. IP2I, Lyon Institut de Physique des 2 Infinis de Lyon, Villeurbanne, France Bagaturia, I. GTU, Tbilisi Georgian Technical University, Tbilisi, Georgia Lomidze, I. GTU, Tbilisi Georgian Technical University, Tbilisi, Georgia Tsamalaidze, Z. GTU, Tbilisi Georgian Technical University, Tbilisi, Georgia Amoozegarp, V. IPM, Tehran Institute for Research in Fundamental Sciences, Tehran, Iran Boghrati, B. IPM, Tehran Institute for Research in Fundamental Sciences, Tehran, Iran Ebrahimi, M. IPM, Tehran Institute for Research in Fundamental Sciences, Tehran, Iran Esfandi, F. IPM, Tehran Institute for Research in Fundamental Sciences, Tehran, Iran Hosseini, Y. IPM, Tehran Institute for Research in Fundamental Sciences, Tehran, Iran Mohammadi Najafabadi, M. IPM, Tehran Institute for Research in Fundamental Sciences, Tehran, Iran Zareian, E. IPM, Tehran Institute for Research in Fundamental Sciences, Tehran, Iran Abbrescia, M. INFN, Bari Bari U. INFN Sezione di Bari, Bari, Italy Università di Bari, Bari, Italy De Filippis, N. INFN, Bari Bari Polytechnic INFN Sezione di Bari, Bari, Italy Politecnico di Bari, Bari, Italy Iaselli, G. INFN, Bari Bari Polytechnic INFN Sezione di Bari, Bari, Italy Politecnico di Bari, Bari, Italy Loddo, F. INFN, Bari INFN Sezione di Bari, Bari, Italy Pugliese, G. INFN, Bari Bari Polytechnic INFN Sezione di Bari, Bari, Italy Politecnico di Bari, Bari, Italy Ramos, D. INFN, Bari INFN Sezione di Bari, Bari, Italy Benussi, L. Frascati INFN Laboratori Nazionali di Frascati, Frascati, Italy Bianco, S. Frascati INFN Laboratori Nazionali di Frascati, Frascati, Italy Meola, S. Frascati INFN Laboratori Nazionali di Frascati, Frascati, Italy Piccolo, D. Frascati INFN Laboratori Nazionali di Frascati, Frascati, Italy Buontempo, S. INFN, Naples INFN Sezione di Napoli, Napoli, Italy Carnevali, F. INFN, Naples Naples U. INFN Sezione di Napoli, Napoli, Italy Università di Napoli’Federico II’, Napoli, Italy Fienga, F. Naples U. Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione - Università Degli Studi di Napoli Federico II, Napoli, Italy Lista, L. INFN, Naples Naples U. INFN Sezione di Napoli, Napoli, Italy Università di Napoli’Federico II’, Napoli, Italy Paolucci, P. INFN, Naples INFN Sezione di Napoli, Napoli, Italy Braghieri, A. INFN, Pavia INFN Sezione di Pavia, Pavia, Italy Montagna, P. INFN, Pavia Pavia U. INFN Sezione di Pavia, Pavia, Italy Università di Pavia, Pavia, Italy Riccardi, C. INFN, Pavia Pavia U. INFN Sezione di Pavia, Pavia, Italy Università di Pavia, Pavia, Italy Salvini, P. INFN, Pavia INFN Sezione di Pavia, Pavia, Italy Vitulo, P. INFN, Pavia Pavia U. INFN Sezione di Pavia, Pavia, Italy Università di Pavia, Pavia, Italy Asilar, E. Hanyang U. Hanyang University, Seoul, Korea Kim, T.J. Hanyang U. Hanyang University, Seoul, Korea Ryou, Y. Hanyang U. Hanyang University, Seoul, Korea Choi, S. Korea U. Korea University, Seoul, Korea Hong, B. Korea U. Korea University, Seoul, Korea Lee, K.S. Korea U. Korea University, Seoul, Korea Goh, J. Kyung Hee U. Kyung Hee University, Department of Physics, Seoul, Korea Shin, J. Kyung Hee U. Kyung Hee University, Department of Physics, Seoul, Korea Lee, Y. Sungkyunkwan U. Sungkyunkwan University, Suwon, Korea Pedraza, I. Puebla U., Mexico Benemerita Universidad Autonoma de Puebla, Puebla, Mexico Estrada, C. Uribe Puebla U., Mexico Benemerita Universidad Autonoma de Puebla, Puebla, Mexico Castilla-Valdez, H. UPII, IPN Centro de Investigacion y de Estudios Avanzados del IPN, Mexico City, Mexico Lopez-Fernandez, R. UPII, IPN Centro de Investigacion y de Estudios Avanzados del IPN, Mexico City, Mexico Hernandez, A. Sanchez UPII, IPN Centro de Investigacion y de Estudios Avanzados del IPN, Mexico City, Mexico Garcia, M. Ramirez Iberoamericana U. Universidad Iberoamericana, Mexico City, Mexico Guadarrama, D.L. Ramirez Iberoamericana U. Universidad Iberoamericana, Mexico City, Mexico Shah, M.A. Iberoamericana U. Universidad Iberoamericana, Mexico City, Mexico Vazquez, E. Iberoamericana U. Universidad Iberoamericana, Mexico City, Mexico Zaganidis, N. Iberoamericana U. Universidad Iberoamericana, Mexico City, Mexico Ahmad, A. NCP, Islamabad National Centre for Physics, Quaid-I-Azam University, Islamabad, Pakistan Asghar, M.I. NCP, Islamabad National Centre for Physics, Quaid-I-Azam University, Islamabad, Pakistan Hoorani, H.R. NCP, Islamabad National Centre for Physics, Quaid-I-Azam University, Islamabad, Pakistan Muhammad, S. NCP, Islamabad National Centre for Physics, Quaid-I-Azam University, Islamabad, Pakistan Eysermans, J. MIT, LNS Massachusetts Institute of Technology, Cambridge, MA, USA CMS Collaboration 170506 publication Nucl. Instrum. Methods Phys. Res., A 1076 C24-09-09.14 2025 2727991 27428 http://cds.cern.ch/record/2930372/files/block_averaging.png 00004 The average block current is calculated by iteratively removing outliers (outside ±4$\sigma$) from the Imon distribution until no more than 10\% of the data points are discarded, then computing the mean for the period. This method is used in various automata in the framework to provide the average current per block. 2727992 14606 http://cds.cern.ch/record/2930372/files/aic_chamber.png 00014 The RPC HV channel reshuffling in October 2014 resulted in \textit{DPID} reassignment, requiring the adoption of unique \textit{Chamber\_IDs} for accurate and efficient processing of accumulated integrated charge data. A new database structure, based on \textit{Chamber\_IDs}, was created alongside the original \textit{DPID}-based structure in Fig. \ref{fig:aic_dpid}. 2727993 1211606 http://cds.cern.ch/record/2930372/files/FullCircle.png 00006 The project’s ideology involves synchronizing condition data, performing analytical studies (right flow), refining their results through the Machine Learning Navigator (MLN) for predictive modeling, and automatically adjusting detector parameters via OPC drivers to ensure self-monitoring and self-correcting operations (left flow). 2727994 175031 http://cds.cern.ch/record/2930372/files/RampUp.png 00008 Filtering out current decay, highlighted in yellow, due to the capacitive detector effect after voltage ramp-up (left) ensures stable status "1" data by reassigning removed rows to the ramp-up phase, combining them with the last status "3" entry, highlighted in orange (right), to preserve timeline continuity. 2727995 67361 http://cds.cern.ch/record/2930372/files/OM1.png 00016 The RPC operation mode automaton determines whether a chamber operates in single-gap or double-gap mode based on initial ramp-up current and a predefined threshold per chamber type between 500V and 1030V. 2727996 9301 http://cds.cern.ch/record/2930372/files/HVCond.png 00015 Linear fits in the ohmic region (1000–7000 V) of RPC HV conditioning sets yield fit parameters $p_0$, HV channel offset, and $p_1$, inverse resistance, stored for analysis. 2727997 178555 http://cds.cern.ch/record/2930372/files/rate_lumifit1.png 00018 Over 3000 rate vs. luminosity fits per fill analyze RPC trigger rates across link boards and virtual objects vs. LHC instantaneous luminosity, revealing detector behavior in high-luminosity conditions. 2727998 182546 http://cds.cern.ch/record/2930372/files/data_synchronization.png 00001 A short, representative extract from the \textit{FWCAENCHANNEL} table in the \textit{CMS\_RPC\_PVSS\_COND} schema illustrates the raw data storage format, where only one column is populated per \textit{CHANGE\_DATE} timestamp (left). By aggregation within a second, the three fields are combined into a single row, and the "lead" analytical function fills in the voids until the next recorded entry per field is encountered. The synchronized data is stored in the \textit{RPCCURRENTS} table within the automation \textit{CMS\_RPC\_COND} schema (right). 2727999 256798 http://cds.cern.ch/record/2930372/files/EvoClean.png 00021 Example of cleaned current evolution for a Barrel chamber, \textit{W0/S01/RB1in}, aligned with LHC blocks to eliminate erroneous spikes. 2728000 8354573 http://cds.cern.ch/record/2930372/files/2504.08991.pdf Fulltext 2728001 5073 http://cds.cern.ch/record/2930372/files/lhc_blocks.png 00005 The four key LHC blocks for RPC current data analysis are Stable Beams, Cosmic, Standby, and Cool-down, each corresponding to distinct operational periods in the LHC beam cycle. The Cool-down block is not depicted in the plot, as it is too short (lasting only a few seconds) to be effectively visualized. 2728002 145881 http://cds.cern.ch/record/2930372/files/RampDw.png 00009 Filtering out erroneous status "1" during ramp-down, highlighted in yellow (left), ensures a direct transition from status "5" (ramp-down) to status "0" (off), with the removed row’s duration added to the last status "5" entry, highlighted in orange (right), preserving timeline continuity. 2728003 158169 http://cds.cern.ch/record/2930372/files/gasflow.png 00011 \textit{RPCGASFLOW} automaton synchronizes raw data for the main gas parameters, flow-in and flow-out rates, and stores it in the \textit{RPCGASFLOW} table in the \textit{CMS\_RPC\_COND} schema. 2728004 52749 http://cds.cern.ch/record/2930372/files/Flag.png 00002 An extended version of the \textit{RPCCURRENTS} table from Fig. \ref{fig:synch} is shown, with an additional column, FLAG, added to classify the current type. Using decimal representation of 6-bit encoding, the \textit{FLAG} column simplifies distinguishing between collision, CRAFT (cosmic currents at full magnetic field), CRUZET (cosmic currents at low magnetic field), standby, and offset currents. 2728005 3326583 http://cds.cern.ch/record/2930372/files/rates.png 00010 Raw data from 2,748 link boards, collected from 1,056 Resistive Plate Chambers operated in Run-II and Run-III, is transferred from 18 \textit{ROOT} files per run into a structured database table format in the RPC automation schema on \textit{OMDS}, as shown in the top middle section of the figure. The physical locations of the trigger towers, indicating the sectors from which data is collected, are also presented. 2728006 4586 http://cds.cern.ch/record/2930372/files/Tagging.png 00003 Six binary bits are used to encode additional information for each RPC HV channel current. The rightmost four bits represent the HV state and voltage range for each channel, while the two leftmost bits encode critical information about the CMS magnetic field strength and the presence of colliding beams with non-zero instantaneous luminosity. 2728007 29422 http://cds.cern.ch/record/2930372/files/IC.png 00012 Daily integrated charge values per RPC HV channel and virtual objects, computed for \textit{collision} and \textit{RPC\_ON} currents, are recorded in the \textit{CMS\_RPC\_COND} schema on production database. Graphs display accumulated and yearly integrated charge for the Barrel region as a virtual object at the end of 2017, demonstrating an example of the automation's utility. 2728008 216015 http://cds.cern.ch/record/2930372/files/rpc_current_in_lhc_blocks_new.png 00020 Typical RPC collision, cosmic, and standby current behavior during LHC fills and interfill gaps. Cosmic blocks form during no-beam cosmic gaps, while standby blocks form during injection and energy ramp phases of the LHC fill. 2728009 513569 http://cds.cern.ch/record/2930372/files/LumiEvo1.png 00017 LHC life-cycle phases—Stable Beams, cosmic gaps, and standby gaps—are used to study RPC current dependence on luminosity and monitor cosmic and standby current stability over time. Nearly 900 current vs. luminosity fits per fill align collision-tagged currents with instantaneous luminosity, enabling studies of detector performance, shielding effects, and stability across beam conditions (left). 2728010 14997 http://cds.cern.ch/record/2930372/files/aic_dpid.png 00013 Accumulated integrated charge per HV channel and virtual objects, calculated daily since 2009, is stored with a consistent \textit{FROM} date and an incrementing \textit{TO} date, providing a cumulative charge value for each day of operations. 2728011 2431912 http://cds.cern.ch/record/2930372/files/Realization1.png 00000 Overview of the RPC configuration and condition data flow: starting with the emulator (top right), which prepares and stores configuration parameters in ConfDB (1) that are loaded on the hardware via recipes during the CMS detector configuration (2). The RPC Detector Control System, DCS, monitors detector parameters and archives non-physics event data (3,4,5). The automation framework retrieves and processes this data, storing the results in structured formats for analysis and fast visualization (6). 2728012 12027 http://cds.cern.ch/record/2930372/files/envpar.png 00007 The \textit{UXC\_Environment} automaton retrieves and synchronizes CMS cavern pressure, temperature, relative humidity, and dew point data. 2728013 145165 http://cds.cern.ch/record/2930372/files/Evo1.png 00019 Current evolution studies focus on offset, standby, and cosmic currents. Using the block averaging method, single mean values per block are computed and stored, significantly reducing data volume while preserving key information for trend analysis as shown for one chamber, \textit{W-2/S01/RB1in}, in the Barrel region. 13 2920470 170506 SantiagodeCompostela20240909 2923944 ARTICLE ConferencePaper DELETED 2930285 20260418042240.0 oai:cds.cern.ch:2930285 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI Springer 10.1007/JHEP07(2025)186 arXiv oai:arXiv.org:2504.10480 oai:inspirehep.net:2911634 https://inspirehep.net/api/oai2d Inspire 2026-04-17T08:21:25Z 2026-04-18T02:00:11Z marcxml true Inspire 2911634 arXiv arXiv:2504.10480 hep-ph eng Aguilar, J. GRID:grid.498243.0 ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain Springer Probing Long-Range Forces in Neutrino Oscillations at the ESSnuSB Experiment 2025-07-16 2025-04-14 31 p arXiv 31 pages, 13 figures, 3 tables, Version accepted for publication in JHEP Springer Neutrino oscillations constitute an excellent tool to probe physics beyond the Standard Model. In this paper, we investigate the potential of the ESSnuSB experiment to constrain the effects of flavour-dependent long-range forces (LRFs) in neutrino oscillations, which may arise due to the extension of the Standard Model gauge group by introducing new U(1) symmetries. Focusing on three specific U(1) symmetries — L$_{e}$ − L$_{μ}$, L$_{e}$ − L$_{τ}$, and L$_{μ}$ − L$_{τ}$, we demonstrate that ESSnuSB offers a favourable environment to search for LRF effects. Our analyses reveal that ESSnuSB can set 90% confidence level bounds of V$_{eμ}$ < 2.99 × 10$^{−14}$ eV, V$_{eτ}$ < 2.05 × 10$^{−14}$ eV, and V$_{μτ}$ < 1.81 × 10$^{−14}$ eV, which are competitive to the upcoming Deep Underground Neutrino Experiment (DUNE). It is also observed that reducing the systematic uncertainties from 5% to 2% improves the ESSnuSB limits on V$_{αβ}$. Interestingly, we find limited correlations between LRF parameters and the less constrained lepton mixing parameters θ$_{23}$ and δ$_{CP}$, preserving the robustness of ESSnuSB’s sensitivity to CP violation. Even under extreme LRF potentials (V$_{αβ}$ ≫ 10$^{−13}$ eV), the CP-violation sensitivity and δ$_{CP}$ precision remain largely unaffected. These results establish ESSnuSB as a competitive experimental setup for probing LRF effects, complementing constraints from other neutrino sources and offering critical insights into the physics of long-range forces.[graphic not available: see fulltext] arXiv Neutrino oscillations constitute an excellent tool to probe physics beyond the Standard Model. In this paper, we investigate the potential of the ESSnuSB experiment to constrain the effects of flavour-dependent long-range forces (LRFs) in neutrino oscillations, which may arise due to the extension of the Standard Model gauge group by introducing new $U(1)$ symmetries. Focusing on three specific $U(1)$ symmetries --$L_e - L_μ$, $L_e - L_τ$, and $L_μ- L_τ$, we demonstrate that ESSnuSB offers a favourable environment to search for LRF effects. Our analyses reveal that ESSnuSB can set $90\%$ confidence level bounds of $V_{eμ} < 2.99 \times 10^{-14} \, \text{eV}$, $V_{eτ} < 2.05 \times 10^{-14} \, \text{eV}$, and $V_{μτ} < 1.81 \times 10^{-14} \, \text{eV}$, which are competitive to the upcoming Deep Underground Neutrino Experiment (DUNE). It is also observed that reducing the systematic uncertainties from $5\%$ to $2\%$ improves the ESSnuSB limits on $V_{αβ}$. Interestingly, we find limited correlations between LRF parameters and the less constrained lepton mixing parameters $θ_{23}$ and $δ_{\text{CP}}$, preserving the robustness of ESSnuSB's sensitivity to CP violation. Even under extreme LRF potentials ($V_{αβ} \gg 10^{-13} \, \text{eV}$), the CP-violation sensitivity and $δ_{\text{CP}}$ precision remain largely unaffected. These results establish ESSnuSB as a competitive experimental setup for probing LRF effects, complementing constraints from other neutrino sources and offering critical insights into the physics of long-range forces. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication CC-BY-4.0 Springer SCOAP3 http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2025 arXiv WARNING: Colon in authors before J. Aguilar : Check author list for collaboration names! SzGeCERN Particle Physics - Experiment SzGeCERN Particle Physics - Phenomenology CERN ARTICLE ESSnuSB Anastasopoulos, M. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Barčot, D. GRID:grid.4905.8 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Baussan, E. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Bhattacharyya, A.K. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Bignami, A. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Blennow, M. GRID:grid.5037.1 GRID:grid.411313.5 ROR:https://ror.org/026vcq606 Royal Inst. Tech., Stockholm Stockholm Observ. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Bogomilov, M. GRID:grid.11355.33 ROR:https://ror.org/02jv3k292 Sofiya U. Faculty of Physics, Sofia University St. Kliment Ohridski, 1164 Sofia, Bulgaria Bolling, B. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Bouquerel, E. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Bramati, F. ORCID:0009-0004-6386-070X GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Branca, A. GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Brunetti, G. GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Bustinduy, I. GRID:grid.498243.0 ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain Carlile, C.J. GRID:grid.4514.4 ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P.O Box 118, 221 00 Lund, Sweden Cederkall, J. GRID:grid.4514.4 ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P.O Box 118, 221 00 Lund, Sweden Choi, T.W. GRID:grid.8993.b ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Choubey, S. GRID:grid.5037.1 GRID:grid.411313.5 ROR:https://ror.org/026vcq606 Royal Inst. Tech., Stockholm Stockholm Observ. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Christiansen, P. GRID:grid.4514.4 ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P.O Box 118, 221 00 Lund, Sweden Collins, M. GRID:grid.434715.0 GRID:grid.4514.4 ROR:https://ror.org/012a77v79 ESS, Lund Lund U. European Spallation Source, Box 176, SE-221 00 Lund, Sweden Faculty of Engineering, Lund University, P.O Box 118, 221 00 Lund, Sweden Morales, E. Cristaldo GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Cupiał, P. GRID:grid.9922.0 ROR:https://ror.org/00bas1c41 AGH-UST, Cracow AGH University of Krakow, al. A. Mickiewicza 30, 30-059 Krakow, Poland D'Ago, D. ORCID:0000-0002-1837-6351 GRID:grid.470212.2 ROR:https://ror.org/00z34yn88 INFN, Padua INFN Sez. di Padova, Padova, Italy Danared, H. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden de André, J.P. A.M. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Dracos, M. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Efthymiopoulos, I. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, 1211 Geneva 23, Switzerland Ekelöf, T. GRID:grid.8993.b ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Eshraqi, M. ORCID:0000-0002-8101-9787 GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Fanourakis, G. GRID:grid.450262.7 ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Farricker, A. GRID:grid.10025.36 ROR:https://ror.org/02a5smf05 Cockcroft Inst. Accel. Sci. Tech. Cockroft Institute (A36), Liverpool University, WA4 4AD Warrington, UK Fasoula, E. GRID:grid.4793.9 ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Fukuda, T. GRID:grid.27476.30 Nagoya U., IAR Institute for Advanced Research, Nagoya University, 464-8601 Nagoya, Japan Gazis, N. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Geralis, Th. GRID:grid.450262.7 ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Ghosh, M. mghosh@irb.hr GRID:grid.4905.8 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Giarnetti, A. ORCID:0000-0001-8487-8045 alessio.giarnetti@uniroma3.it GRID:grid.8509.4 ROR:https://ror.org/05vf0dg29 Rome III U. Dipartimento di Matematica e Fisica, Università di Roma Tre, Via della Vasca Navale 84, 00146 Rome, Italy Gokbulut, G. GRID:grid.98622.37 GRID:grid.5342.0 ROR:https://ror.org/05wxkj555 ROR:https://ror.org/00cv9y106 Cukurova U. Gent U. Faculty of Science and Letters, Department of Physics, University of Cukurova, 01330 Adana, Turkey Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Gupta, A. ORCID:0000-0002-7247-2424 aman.gupta@saha.ac.in GRID:grid.473481.d GRID:grid.450257.1 ROR:https://ror.org/0491yz035 ROR:https://ror.org/02bv3zr67 Saha Inst. HBNI, Mumbai Theory Division, Saha Institute of Nuclear Physics, 1/AF, Bidhannagar, 700064 Kolkata, India Homi Bhabha National Institute, Anushakti Nagar, 400094 Mumbai, India Hagner, C. GRID:grid.9026.d ROR:https://ror.org/00g30e956 Hamburg U. Institute for Experimental Physics, Hamburg University, 22761 Hamburg, Germany Halić, L. GRID:grid.4905.8 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Hooft, M. ORCID:0000-0002-6368-4820 GRID:grid.5342.0 ROR:https://ror.org/00cv9y106 Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Iversen, K.E. GRID:grid.4514.4 ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, P.O Box 118, 221 00 Lund, Sweden Jachowicz, N. GRID:grid.5342.0 ROR:https://ror.org/00cv9y106 Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Jakkapu, M. GRID:grid.4905.8 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Jenssen, M. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Johansson, R. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Kasimi, E. GRID:grid.4793.9 ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Kayis Topaksu, A. GRID:grid.98622.37 ROR:https://ror.org/05wxkj555 Cukurova U. Faculty of Science and Letters, Department of Physics, University of Cukurova, 01330 Adana, Turkey Kildetoft, B. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Kliček, B. GRID:grid.4905.8 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Kordas, K. GRID:grid.4793.9 ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Kovač, B. GRID:grid.4905.8 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Leisos, A. GRID:grid.55939.33 ROR:https://ror.org/02kq26x23 Hellenic Open U., Patras Physics Laboratory, School of Science and Technology, Hellenic Open University, 26335 Patras, Greece Lindroos, M. GRID:grid.434715.0 GRID:grid.4514.4 ROR:https://ror.org/012a77v79 ESS, Lund Lund U. European Spallation Source, Box 176, SE-221 00 Lund, Sweden Department of Physics, Lund University, P.O Box 118, 221 00 Lund, Sweden Longhin, A. GRID:grid.470212.2 ROR:https://ror.org/00240q980 ROR:https://ror.org/00z34yn88 Padua U. INFN, Padua Department of Physics and Astronomy “G. Galilei”, University of Padova and INFN Sezione di Padova, Padova, Italy Maiano, C. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Majumdar, D. GRID:grid.440708.f ROR:https://ror.org/03kp2qt98 RKMVERI, West Bengal Department of Physics, Ramakrishna Mission Vivekananda Educational and Research Institute, Belur Math, 711202 Howrah, West Bengal, India Marangoni, S. GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Marciano, S. GRID:grid.8509.4 ROR:https://ror.org/05vf0dg29 Rome III U. Dipartimento di Matematica e Fisica, Università di Roma Tre, Via della Vasca Navale 84, 00146 Rome, Italy Marcos, J.G. ORCID:0009-0003-2753-1864 GRID:grid.5342.0 ROR:https://ror.org/00cv9y106 Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Marrelli, C. GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, 1211 Geneva 23, Switzerland Meloni, D. davide.meloni@uniroma3.it GRID:grid.8509.4 ROR:https://ror.org/05vf0dg29 Rome III U. Dipartimento di Matematica e Fisica, Università di Roma Tre, Via della Vasca Navale 84, 00146 Rome, Italy Mezzetto, M. GRID:grid.470212.2 ROR:https://ror.org/00z34yn88 INFN, Padua INFN Sez. di Padova, Padova, Italy Milas, N. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Muñoz, J.L. GRID:grid.498243.0 ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain Niewczas, K. GRID:grid.5342.0 ROR:https://ror.org/00cv9y106 Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Oglakci, M. GRID:grid.98622.37 ROR:https://ror.org/05wxkj555 Cukurova U. Faculty of Science and Letters, Department of Physics, University of Cukurova, 01330 Adana, Turkey Ohlsson, T. GRID:grid.5037.1 GRID:grid.411313.5 ROR:https://ror.org/026vcq606 ROR:https://ror.org/044kkfr75 Royal Inst. Tech., Stockholm AlbaNova U. Ctr. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Olvegård, M. GRID:grid.8993.b ROR:https://ror.org/048a87296 Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Pari, M. GRID:grid.450257.1 ROR:https://ror.org/02bv3zr67 HBNI, Mumbai Homi Bhabha National Institute, Anushakti Nagar, 400094 Mumbai, India Patrzalek, D. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Petkov, G. GRID:grid.11355.33 ROR:https://ror.org/02jv3k292 Sofiya U. Faculty of Physics, Sofia University St. Kliment Ohridski, 1164 Sofia, Bulgaria Petridou, Ch. GRID:grid.4793.9 ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Poussot, P. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Psallidas, A. GRID:grid.450262.7 ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Pupilli, F. GRID:grid.470212.2 ROR:https://ror.org/00z34yn88 INFN, Padua INFN Sez. di Padova, Padova, Italy Saiang, D. GRID:grid.6926.b Lulea U. Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, SE-971 87 Lulea, Sweden Sampsonidis, D. GRID:grid.4793.9 ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Scanu, A. ORCID:0009-0009-3013-0141 GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 INFN, Milan Bicocca University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Schwab, C. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Sordo, F. GRID:grid.498243.0 ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain Stavropoulos, G. GRID:grid.450262.7 ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Stipčević, M. GRID:grid.4905.8 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Tarkeshian, R. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Terranova, F. GRID:grid.7563.7 ROR:https://ror.org/03xejxm22 ROR:https://ror.org/01ynf4891 INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Tolba, T. GRID:grid.9026.d ROR:https://ror.org/00g30e956 Hamburg U. Institute for Experimental Physics, Hamburg University, 22761 Hamburg, Germany Trachanas, E. GRID:grid.434715.0 ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Tsenov, R. GRID:grid.11355.33 ROR:https://ror.org/02jv3k292 Sofiya U. Faculty of Physics, Sofia University St. Kliment Ohridski, 1164 Sofia, Bulgaria Tsirigotis, A. GRID:grid.55939.33 ROR:https://ror.org/02kq26x23 Hellenic Open U., Patras Physics Laboratory, School of Science and Technology, Hellenic Open University, 26335 Patras, Greece Tzamarias, S.E. GRID:grid.4793.9 ROR:https://ror.org/02j61yw88 Thessaloniki U. Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Vanderpoorten, M. GRID:grid.5342.0 ROR:https://ror.org/00cv9y106 Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Vankova-Kirilova, G. GRID:grid.11355.33 ROR:https://ror.org/02jv3k292 Sofiya U. Faculty of Physics, Sofia University St. Kliment Ohridski, 1164 Sofia, Bulgaria Vassilopoulos, N. GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 Beijing, Inst. High Energy Phys. Institute of High Energy Physics (IHEP) Dongguan Campus, Chinese Academy of Sciences (CAS), 523803 Guangdong, China Vihonen, S. GRID:grid.5037.1 GRID:grid.411313.5 ROR:https://ror.org/026vcq606 ROR:https://ror.org/044kkfr75 Royal Inst. Tech., Stockholm AlbaNova U. Ctr. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Wurtz, J. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Zeter, V. GRID:grid.11843.3f ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Zormpa, O. GRID:grid.450262.7 ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece ESSnuSB Collaboration 186 JHEP 2507 2025 2727836 20575 http://cds.cern.ch/record/2930285/files/chisq_vem_channel_fix_th23.png 00010 \footnotesize \textit{\textbf{Significance of appearance and disappearance channels in computing the sensitivity of \ess to constrain the LRF potentials.}} In the left plot, $\theta_{23}$ is marginalized for both appearance and disappearance channels, whereas in the right plot, we fix $\theta_{23}$ at its best-value in the disappearance channel only. 2727837 105783 http://cds.cern.ch/record/2930285/files/CPV_sensitivity_lrf.png 00019 \footnotesize \textit{\textbf{CP-violation sensitivity of ESSnuSB for different values of LRF potentials \vab and symmetries.}} Here, both true and test hypotheses assume the presence of LRFs. Standard oscillation (\vab = 0) is shown by the solid red curve. 2727838 99378 http://cds.cern.ch/record/2930285/files/pmue_vab_plethora.png 00023 \footnotesize\textbf{\textit{Appearance (left panel) and disappearance (right panel) neutrino (top panel) and antineutrino (bottom panel) oscillation probabilities as functions of neutrino energy in the presence of LRF potentials induced by other sorts of anomaly-free symmetries.}} 2727839 59034 http://cds.cern.ch/record/2930285/files/event_disapp_360.png 00005 \footnotesize\textit{\textbf{Total expected number of events is plotted as a function of LRF potential for the \ess experiment for two choices of $\delta_{\rm CP} = 0$ and $-90\degree$.}} Appearance events are shown in the left panel and disappearance events in the right panel. 2727840 98272 http://cds.cern.ch/record/2930285/files/pmm_vab.png 00001 \footnotesize\textit{\textbf{Appearance (left panel) and disappearance (right panel) neutrino (top panel) and antineutrino (bottom panel) oscillation probabilities as functions of neutrino energy in the presence of LRF potentials, $V_{\alpha\beta} = 1.3\times 10^{-13}$ eV.}} The dashed, dotted and dashdot curves refer to the $L_e - L_\mu$, \letau and $L_\mu - L_\tau$ cases, respectively. The blue curve in each plot represents the $\text{flux}\times \text{cross-section}$ in the regions relevant for the \ess experiment. 2727841 60089 http://cds.cern.ch/record/2930285/files/anti_pmue_vab_plethora.png 00025 \footnotesize\textbf{\textit{Appearance (left panel) and disappearance (right panel) neutrino (top panel) and antineutrino (bottom panel) oscillation probabilities as functions of neutrino energy in the presence of LRF potentials induced by other sorts of anomaly-free symmetries.}} 2727842 10361 http://cds.cern.ch/record/2930285/files/vmt_th23.png 00015 \footnotesize \textbf{\textit{ Effect of long-range interactions in the determination of the $\bold{\theta_{23}}$ octant.}} In all panels, two distinct true values for the mixing angle $\theta_{23}$ have been chosen, i.e., $\theta_{23}^{\rm true} = 42.2\degree$ and $49.1\degree$. 2727843 36437 http://cds.cern.ch/record/2930285/files/CPV_precision_vs_Vab_dcp_zeroandpi.png 00021 \footnotesize\textit{\textbf{$1\sigma$ precision on the measurement of $\delta_{\rm CP}$ at ESSnuSB as a function of the LRF potential $V_{\alpha\beta}$, for three different choices of symmetries.}} The LRF potential $V_{\alpha\beta}$ is present in both true and test data. The left (right) plot corresponds to the true values of $\delta_{\rm CP} = 0\degree$ and $180\degree$ ($\pm 90\degree$). 2727844 95638 http://cds.cern.ch/record/2930285/files/pmm_vab_plethora.png 00024 \footnotesize\textbf{\textit{Appearance (left panel) and disappearance (right panel) neutrino (top panel) and antineutrino (bottom panel) oscillation probabilities as functions of neutrino energy in the presence of LRF potentials induced by other sorts of anomaly-free symmetries.}} 2727845 9887 http://cds.cern.ch/record/2930285/files/vet_th23.png 00014 \footnotesize \textbf{\textit{ Effect of long-range interactions in the determination of the $\bold{\theta_{23}}$ octant.}} In all panels, two distinct true values for the mixing angle $\theta_{23}$ have been chosen, i.e., $\theta_{23}^{\rm true} = 42.2\degree$ and $49.1\degree$. 2727846 1567937 http://cds.cern.ch/record/2930285/files/2504.10480.pdf Fulltext 2727847 125245 http://cds.cern.ch/record/2930285/files/coupling_mass.png 00012 \footnotesize \textit{\textbf{Sensitivity of \ess to exclude the parameter space of the LRF in the $m_{Z^\prime}-G_{\alpha\beta}$ plane.}} These exclusion regions are computed at $90\%$ C.L. by fixing the LRF potentials to their $90\%$ C.L. values presented in Table \ref{tab:bound_table}. See the text for more details on how the calculations were performed. 2727848 11341 http://cds.cern.ch/record/2930285/files/vmt_dcp.png 00018 \footnotesize \textbf{\textit{ Effect of long-range interactions on the determination of $\bold{\delta_{\rm CP}}$}}. In all the panels, two distinct true values for the leptonic CP-violating phase have been chosen, $\delta_{\rm CP}^{\rm true} = 0\degree, -90\degree$. 2727849 42824 http://cds.cern.ch/record/2930285/files/chisq_vem_channel.png 00009 \footnotesize \textit{\textbf{Significance of appearance and disappearance channels in computing the sensitivity of \ess to constrain the LRF potentials.}} Dashed curves show the effect of fixing $\theta_{23}$ to its best-value in the disappearance channel. 2727850 54069 http://cds.cern.ch/record/2930285/files/CPV_sensitivity__vs_Vab_pot.png 00020 \footnotesize \textit{\textbf{CP-violation sensitivity of ESSnuSB as a function of long-range potential $V_{\alpha\beta}$.}} The solid (dashed) curves correspond to the true value of \dcp $=+90 \degree(-90\degree)$. 2727851 11605 http://cds.cern.ch/record/2930285/files/chisq_vet_channle_fix_th23.png 00012 \footnotesize \textit{\textbf{Significance of appearance and disappearance channels in computing the sensitivity of \ess to constrain the LRF potentials.}} In the left plot, $\theta_{23}$ is marginalized for both appearance and disappearance channels, whereas in the right plot, we fix $\theta_{23}$ at its best-value in the disappearance channel only. 2727852 43765 http://cds.cern.ch/record/2930285/files/chisq_vmt_channle.png 00011 \footnotesize \textit{\textbf{Significance of appearance and disappearance channels in computing the sensitivity of \ess to constrain the LRF potentials.}} Dashed curves show the effect of fixing $\theta_{23}$ to its best-value in the disappearance channel. 2727853 37422 http://cds.cern.ch/record/2930285/files/chisq_LRF_plethora.png 00027 \footnotesize\textbf{\textit{Sensitivity of ESSnuSB to constrain the LRF potentials induced by different $U^\prime$ symmetries mentioned in Ref.~\cite{Agarwalla:2024ylc}.}} In this case, we have used the standard $5\%$ systematics of the \ess experiment. 2727854 42482 http://cds.cern.ch/record/2930285/files/chisq_vet_channle.png 00010 \footnotesize \textit{\textbf{Significance of appearance and disappearance channels in computing the sensitivity of \ess to constrain the LRF potentials.}} Dashed curves show the effect of fixing $\theta_{23}$ to its best-value in the disappearance channel. 2727855 11517 http://cds.cern.ch/record/2930285/files/vet_dcp.png 00017 \footnotesize \textbf{\textit{ Effect of long-range interactions on the determination of $\bold{\delta_{\rm CP}}$}}. In all the panels, two distinct true values for the leptonic CP-violating phase have been chosen, $\delta_{\rm CP}^{\rm true} = 0\degree, -90\degree$. 2727856 9799 http://cds.cern.ch/record/2930285/files/vem_th23.png 00013 \footnotesize \textbf{\textit{ Effect of long-range interactions in the determination of the $\bold{\theta_{23}}$ octant.}} In all panels, two distinct true values for the mixing angle $\theta_{23}$ have been chosen, i.e., $\theta_{23}^{\rm true} = 42.2\degree$ and $49.1\degree$. 2727857 38640 http://cds.cern.ch/record/2930285/files/CPV_precision_vs_Vab_dcp_pm90.png 00022 \footnotesize\textit{\textbf{$1\sigma$ precision on the measurement of $\delta_{\rm CP}$ at ESSnuSB as a function of the LRF potential $V_{\alpha\beta}$, for three different choices of symmetries.}} The LRF potential $V_{\alpha\beta}$ is present in both true and test data. The left (right) plot corresponds to the true values of $\delta_{\rm CP} = 0\degree$ and $180\degree$ ($\pm 90\degree$). 2727858 11732 http://cds.cern.ch/record/2930285/files/vem_dcp.png 00016 \footnotesize \textbf{\textit{ Effect of long-range interactions on the determination of $\bold{\delta_{\rm CP}}$}}. In all the panels, two distinct true values for the leptonic CP-violating phase have been chosen, $\delta_{\rm CP}^{\rm true} = 0\degree, -90\degree$. 2727859 95003 http://cds.cern.ch/record/2930285/files/anti_pmm_vab_plethora.png 00026 \footnotesize\textbf{\textit{Appearance (left panel) and disappearance (right panel) neutrino (top panel) and antineutrino (bottom panel) oscillation probabilities as functions of neutrino energy in the presence of LRF potentials induced by other sorts of anomaly-free symmetries.}} 2727860 81953 http://cds.cern.ch/record/2930285/files/anti_pmue_vab.png 00002 \footnotesize\textit{\textbf{Appearance (left panel) and disappearance (right panel) neutrino (top panel) and antineutrino (bottom panel) oscillation probabilities as functions of neutrino energy in the presence of LRF potentials, $V_{\alpha\beta} = 1.3\times 10^{-13}$ eV.}} The dashed, dotted and dashdot curves refer to the $L_e - L_\mu$, \letau and $L_\mu - L_\tau$ cases, respectively. The blue curve in each plot represents the $\text{flux}\times \text{cross-section}$ in the regions relevant for the \ess experiment. 2727861 33360 http://cds.cern.ch/record/2930285/files/chisq_LRF_vmt.png 00008 \footnotesize \textit{\textbf{Sensitivity of \ess in constraining the LRF potential $V_{\alpha\beta}$.}} We consider normal mass ordering for neutrinos i.e., $\Delta m^2_{31} >0$. The red, blue and green colours correspond to the cases for $2\%, 5\%$ and $10\%$ systematic uncertainties, respectively. 2727862 56542 http://cds.cern.ch/record/2930285/files/event_app_360.png 00004 \footnotesize\textit{\textbf{Total expected number of events is plotted as a function of LRF potential for the \ess experiment for two choices of $\delta_{\rm CP} = 0$ and $-90\degree$.}} Appearance events are shown in the left panel and disappearance events in the right panel. 2727863 33489 http://cds.cern.ch/record/2930285/files/chisq_LRF_vem.png 00006 \footnotesize \textit{\textbf{Sensitivity of \ess in constraining the LRF potential $V_{\alpha\beta}$.}} We consider normal mass ordering for neutrinos i.e., $\Delta m^2_{31} >0$. The red, blue and green colours correspond to the cases for $2\%, 5\%$ and $10\%$ systematic uncertainties, respectively. 2727864 11822 http://cds.cern.ch/record/2930285/files/chisq_vmt_channle_fix_th23.png 00014 \footnotesize \textit{\textbf{Significance of appearance and disappearance channels in computing the sensitivity of \ess to constrain the LRF potentials.}} In the left plot, $\theta_{23}$ is marginalized for both appearance and disappearance channels, whereas in the right plot, we fix $\theta_{23}$ at its best-value in the disappearance channel only. 2727865 33107 http://cds.cern.ch/record/2930285/files/chisq_LRF_vet.png 00007 \footnotesize \textit{\textbf{Sensitivity of \ess in constraining the LRF potential $V_{\alpha\beta}$.}} We consider normal mass ordering for neutrinos i.e., $\Delta m^2_{31} >0$. The red, blue and green colours correspond to the cases for $2\%, 5\%$ and $10\%$ systematic uncertainties, respectively. 2727866 99696 http://cds.cern.ch/record/2930285/files/anti_pmm_vab.png 00003 \footnotesize\textit{\textbf{Appearance (left panel) and disappearance (right panel) neutrino (top panel) and antineutrino (bottom panel) oscillation probabilities as functions of neutrino energy in the presence of LRF potentials, $V_{\alpha\beta} = 1.3\times 10^{-13}$ eV.}} The dashed, dotted and dashdot curves refer to the $L_e - L_\mu$, \letau and $L_\mu - L_\tau$ cases, respectively. The blue curve in each plot represents the $\text{flux}\times \text{cross-section}$ in the regions relevant for the \ess experiment. 2727867 101767 http://cds.cern.ch/record/2930285/files/pmue_vab.png 00000 \footnotesize\textit{\textbf{Appearance (left panel) and disappearance (right panel) neutrino (top panel) and antineutrino (bottom panel) oscillation probabilities as functions of neutrino energy in the presence of LRF potentials, $V_{\alpha\beta} = 1.3\times 10^{-13}$ eV.}} The dashed, dotted and dashdot curves refer to the $L_e - L_\mu$, \letau and $L_\mu - L_\tau$ cases, respectively. The blue curve in each plot represents the $\text{flux}\times \text{cross-section}$ in the regions relevant for the \ess experiment. 2747321 1218696 http://cds.cern.ch/record/2930285/files/document.pdf Fulltext 13 ARTICLE 2929769 20260313143544.0 eng Indico 11951 CERN. Geneva Ed Winters: Guest Speaker on Veganism and Environmental Activism CERN - 40/S2-D01 - Salle Dirac 2022-07-29T15:00:00 2022-07-29T17:20:00 1175627 Ed Winters: Guest Speaker on Veganism and Environmental Activism 2022 2022-07-29 4313 Streaming video Eco Actions Club 2022-07-29T15:00:00 <!--HTML--><p>Join the CERN Eco Actions Club for this special webinar featuring acclaimed public speaker and environmental activist Ed Winters! This will be a hybrid event on ZOOM / at CERN 40/S2-D01 - Salle Dirac.&nbsp;<strong>Friday, July 29 @ 15:00 CERN Time</strong><br /> <br /> <a href="https://indico.cern.ch/event/1175627/images/37656-EE_pic.jpg"><img alt="ed img" src="https://indico.cern.ch/event/1175627/images/37656-EE_pic.jpg" style="height:240px; width:200px" /></a></p> <p>Ed Winters, known online as Earthling Ed, is a vegan educator, best-selling author, public speaker and content creator. Ed is globally known for his viral debates, speeches and video essays. Ed has amassed almost 1.4 million followers across his social media platforms due to his compassionate approach to communicating some of the most pressing issues our planet faces today. Ed has been featured by the BBC, LadBible,SkyNews, The Times, EuroNews, Metro, The Guardian and ITV.&nbsp; He has given speeches across the world, including at the University of Cambridge, EPFL, Google NYC and Google Zürich. Join us for this special opportunity to meet and learn from Ed and have a discussion about environmental activism in our personal lives, at CERN, and beyond.<br /> <br /> Find out more about Ed here:&nbsp;<a href="https://earthlinged.org/">https://earthlinged.org/</a></p> CERN 2022 Eco Actions Club Event TALK CERN https://indico.cern.ch/event/1175627/ Event details MediaArchive /mnt/master_share/master_data/2022/1175627 Absolute master path MediaArchive https://lecturemedia.cern.ch/2022/1175627/1175627-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 2061207 MediaArchive https://lecturemedia.cern.ch/2022/1175627/1175627-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 850732 MediaArchive https://lecturemedia.cern.ch/2022/1175627/1175627-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 368081 MediaArchive https://lecturemedia.cern.ch/2022/1175627/1175627-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 108152 eco.actions@cern.ch 2022-06-26T01:17:16 2025-04-14T11:45:53 PUBLIC INDICO.1175627 https://videos.cern.ch/legacy/record/2929769 Indico CMTE MIGRATED 2929747 20251219131928.0 oai:cds.cern.ch:2929747 cerncds:FULLTEXT AIDAinnova-CONF-2025-001 eng Pedano Medina, Camila Rocio camila.pedano@cern.ch KIT - Karlsruhe Institute of Technology (DE) A test rig to study heat transfer of sCO2 at CERN 2025 Geneva CERN 2025-04-11 In high-energy physics (HEP) detectors and modern electronics, thermal management is critical to ensure reliable, long-term operation. Increasing power densities, compact geometries, and stricter environmental regulations are driving the need for efficient, low-GWP cooling solutions. At CERN, boiling carbon dioxide is already well-established for low-temperature detector cooling. However, above its critical temperature (31°C), sCO2 becomes a highly attractive option for electronics operating in the warm regime. This poster presents the newly built test rig to characterize heat transfer with sCO2. CERN Invenio WebSubmit GENSBM 1 CERN carbon dioxide CERN supercritical CERN heat transfer CERN pressure drop CERN refrigeration CERN WP10: Advanced Mechanics for Tracking and Vertex Detectors AIDAinnova Gleissle, Susanne Offenburg University of Applied Sciences (DE) Petagna, Paolo Paolo.Petagna@cern.ch CERN 2725518 2066304 http://cds.cern.ch/record/2929747/files/A test rig to study heat transfer of sCO2 at CERN.pdf Poster presented on the 11.04.2025 2725518 81312 http://cds.cern.ch/record/2929747/files/A test rig to study heat transfer of sCO2 at CERN.gif?subformat=icon icon Poster presented on the 11.04.2025 2725518 85250 http://cds.cern.ch/record/2929747/files/A test rig to study heat transfer of sCO2 at CERN.jpg?subformat=icon-180 icon-180 Poster presented on the 11.04.2025 camila.pedano@cern.ch n 202515 2929746 delft20250409 CONFERENCEPAPER POSTER 2929716 20250529061930.0 oai:cds.cern.ch:2929716 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2504.01434 oai:inspirehep.net:2907370 https://inspirehep.net/api/oai2d Inspire 2025-05-28T08:52:30Z 2025-05-29T02:00:07Z marcxml true Inspire 2907370 arXiv arXiv:2504.01434 physics.acc-ph eng Cros, Brigitte ed. LPGP, Orsay Laboratoire de Physique des Gaz et des Plasmas,CNRS,Universite Paris-Saclay,France arXiv Contribution of ALEGRO to the Update of the European Strategy on Particle Physics 2025-04-02 20 p arXiv 20 pages, no figures, input ESPP Update 2025 arXiv Advanced and novel accelerators (ANAs), driven a by laser pulse or a relativistic particle bunch, have made remarkable progress over the last decades. They accelerated electrons by 10GeV in 30cm (laser driven) and by 42GeV in 85cm (particle bunch driven). Rapid progress continues with lasers, plasma sources, computational methods, and more. In this document we highlight the main contributions made by the various major collaborations, facilities, and experiments that develop ANAs for applications to particle and high-energy physics. These include: ALiVE, ANL-AWA, AWAKE, BNL-ATF, CEPC Injector, DESY-KALDERA, ELI ERIC, EuPRAXIA, HALHF, LBNL-BELLA, LBNL-kBELLA, LCvison, PETRA IV Injector, 10TeV Collider design, SLAC-FACET II, as well as the development of structures, lasers and plasma sources, and sustainability, and demonstrate the intense activities in the field. ANAs can have, and already have, applications to particle and high-energy physics as subsystems, the so-called intermediate applications: injectors, lower energy experiments, beam dump experiments, test beds for detectors, etc. Additionally, an ANA could be an upgrade for any Higgs factory based on a linear accelerator, as proposed in the LCvison project. ANAs have advantages over other concepts for reaching multi-TeV energies: lower geographical and environmental footprints, higher luminosity to power ratio, and are thus more sustainable than other accelerators. However, ANAs must still meet a number of challenges before they can produce bunches with parameters and the luminosity required for a linear collider at the energy frontier. It is therefore extremely important to strongly support vigorous R&D of ANAs, because they are, at this time, the most sustainable acceleration scheme to reach very high energies with a linear accelerator. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ physics.acc-ph arXiv Accelerators and Storage Rings SzGeCERN CERN PREPRINT Muggli, Patric ed. Munich, Max Planck Inst. Max Planck Institute for Physics,Garching/Munich,Germany Corner, Laura U. Liverpool (main) University of Liverpool,Liverpool,UK Farmer, John Munich, Max Planck Inst. Max Planck Institute for Physics,Garching/Munich,Germany Ferarrio, Massimo INFN, Italy INFN Frascati,Italy Gessner, Spencer SLAC SLAC National Accelerator Laboratory,Menlo Park,USA Gizzi, Leo CNR, INO, Pisa Consiglio Nazionale delle Ricerche (CNR),Pisa,Italy Gschwendtner, Edda CERN CERN,Geneva,Switzerland Hogan, Mark SLAC SLAC National Accelerator Laboratory,Menlo Park,USA Hooker, Simon Oxford U. Oxford University,Oxford,UK Leemans, Wim DESY DESY,Hamburg,Germany Lindstrøm, Carl A. U. Oslo (main) University of Oslo,Oslo,Norway List, Jenny DESY Deutsches Elektronen-Synchrotron,Hamburg,Germany Maier, Andreas DESY DESY Hamburg,Germany Osterhoff, Jens LBL, Berkeley BELLA Center,Lawrence Berkeley National Laboratory,Berkeley,USA Piot, Philippe Argonne Argonne National Laboratory,Lemont,Illinois,USA Power, John Argonne Argonne National Laboratory,Lemont,Illinois,USA Pogorelsky, Igor Brookhaven Accelerator Test Facility,Brookhaven National Laboratory,Brookhaven,USA Turner, Marlene CERN CERN,Geneva,Switzerland Vay, Jean-Luc LBNL, Berkeley Lawrence Berkeley National Laboratory,Berkeley,USA Wood, Jonathan DESY DESY Hamburg,Germany 2725446 336723 http://cds.cern.ch/record/2929716/files/2504.01434.pdf Fulltext 11 PREPRINT 2929318 20260409083229.0 oai:cds.cern.ch:2929318 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI arXiv 10.5281/zenodo.15097159 preprint DOI 10.1140/epjc/s10052-025-14571-6 publication arXiv oai:arXiv.org:2504.01050 oai:inspirehep.net:2907199 https://inspirehep.net/api/oai2d Inspire 2026-04-08T12:52:41Z 2026-04-09T02:01:17Z marcxml true Inspire 2907199 arXiv arXiv:2504.01050 hep-ex FERMILAB-PUB-25-0223-CSAID eng Agapopoulou, Christina IJCLab, Orsay Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France arXiv The Critical Importance of Software for HEP 2025-10 2025-04-01 19 p arXiv This document has been endorsed by the following experiments and communities: ALICE, ATLAS, Belle II, CMS, DUNE, ePIC, LHCb, MCnet, WLCG arXiv Particle physics has an ambitious and broad global experimental programme for the coming decades. Large investments in building new facilities are already underway or under consideration. Scaling the present processing power and data storage needs by the foreseen increase in data rates in the next decade for HL-LHC is not sustainable within the current budgets. As a result, a more efficient usage of computing resources is required in order to realise the physics potential of future experiments. Software and computing are an integral part of experimental design, trigger and data acquisition, simulation, reconstruction, and analysis, as well as related theoretical predictions. A significant investment in computing and software is therefore critical. Advances in software and computing, including artificial intelligence (AI) and machine learning (ML), will be key for solving these challenges. Making better use of new processing hardware such as graphical processing units (GPUs) or ARM chips is a growing trend. This forms part of a computing solution that makes efficient use of facilities and contributes to the reduction of the environmental footprint of HEP computing. The HEP community already provided a roadmap for software and computing for the last EPPSU, and this paper updates that, with a focus on the most resource critical parts of our data processing chain. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication CC BY 4.0 SCOAP3 http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2025 HAL SzGeCERN Other Fields of Physics SzGeCERN Particle Physics - Experiment CERN ARTICLE Antel, Claire CERN CERN, Geneva, Switzerland Bhattacharya, Saptaparna Southern Methodist U. (main) Southern Methodist University, Dallas, Texas 75205 Gardiner, Steven Fermilab Fermi National Accelerator Laboratory, Batavia, Illinois 60510 USA Genser, Krzysztof L. Fermilab Fermi National Accelerator Laboratory, Batavia, Illinois 60510 USA Gooding, James Andrew Tech. U., Dortmund (main) Technische Universität Dortmund, Dortmund, Germany Held, Alexander U. Wisconsin, Madison (main) University of Wisconsin-Madison, Madison, WI, United States Hernandez Villanueva, Michel Brookhaven Brookhaven National Laboratory, Upton, NY 11973, United States Jouvin, Michel IJCLab, Orsay Université Paris-Saclay, CNRS/IN2P3, IJCLab, Orsay, France Lari, Tommaso INFN, Milan INFN Sezione di Milano, Milan, Italy Lukashenko, Valeriia Zurich U. Physik Institute, Universität Zürich, Winterthurerstrasse 190/Building 36, 8057 Zürich Malik, Sudhir Puerto Rico U., Mayaguez University of Puerto Rico, Mayaguez, Puerto Rico, USA Moreno Briceño, Alexander Antonio Narino U. Universidad Antonio Nariño, Ibagué, Colombia Mrenna, Stephen Fermilab Fermi National Accelerator Laboratory, Batavia, Illinois 60510 USA Ochoa, Inês LIP, Lisbon Laboratório de Instrumentação e Física Experimental de Partículas, Portugal Osborn, Joseph D. Brookhaven Brookhaven National Laboratory, United States Pivarski, Jim Princeton U. (main) Princeton University, Princeton, NJ, United States Price, Alan Jagiellonian U. (main) Jagiellonian University, ul. prof. Stanis lawa Lojasiewicza 11, 30-348 Kraków, Poland Rodrigues, Eduardo U. Liverpool (main) University of Liverpool, Liverpool, United Kingdom Sharma, Richa Puerto Rico U., Mayaguez University of Puerto Rico, Mayaguez Smith, Nicholas Fermilab Fermi National Accelerator Laboratory, Batavia, Illinois 60510 USA Stewart, Graeme Andrew CERN CERN, Geneva, Switzerland Zaborowska, Anna CERN CERN, Geneva, Switzerland Zerwas, Dirk DMLab, Germany DMLab, Deutsches Elektronen-Synchrotron DESY, CNRS/IN2P3, Hamburg, Germany van Veghel, Maarten NIKHEF, Amsterdam Nikhef, National Institute for Subatomic Physics, Amsterdam, the Netherlands HEP Software Foundation Collaboration 1142 Eur. Phys. J. C 85 2025 https://lss.fnal.gov/archive/2025/pub/fermilab-pub-25-0223-csaid.pdf Fermilab Library Server 2724427 478534 http://cds.cern.ch/record/2929318/files/2504.01050.pdf Preprint 2783585 433240 http://cds.cern.ch/record/2929318/files/fdeb5712dc3ffcb69169360667437e44.pdf Fermilab preprint 2790773 456451 http://cds.cern.ch/record/2929318/files/publication.pdf Fulltext from Publisher 13 ARTICLE 2933339 SzGeCERN 20250530004148.0 DOI 10.1038/s41612-024-00758-3 oai:cds.cern.ch:2933339 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2025-05-29T06:19:00Z marcxml oai:inspirehep.net:2925305 2025-05-28T12:43:01Z Inspire 2925305 eng Xenofontos, Christos Cyprus Inst. submitter The impact of ammonia on particle formation in the Asian Tropopause Aerosol Layer 2024 12 p submitter AbstractDuring summer, ammonia emissions in Southeast Asia influence air pollution and cloud formation. Convective transport by the South Asian monsoon carries these pollutant air masses into the upper troposphere and lower stratosphere (UTLS), where they accumulate under anticyclonic flow conditions. This air mass accumulation is thought to contribute to particle formation and the development of the Asian Tropopause Aerosol Layer (ATAL). Despite the known influence of ammonia and particulate ammonium on air pollution, a comprehensive understanding of the ATAL is lacking. In this modelling study, the influence of ammonia on particle formation is assessed with emphasis on the ATAL. We use the EMAC chemistry-climate model, incorporating new particle formation parameterisations derived from experiments at the CERN CLOUD chamber. Our diurnal cycle analysis confirms that new particle formation mainly occurs during daylight, with a 10-fold enhancement in rate. This increase is prominent in the South Asian monsoon UTLS, where deep convection introduces high ammonia levels from the boundary layer, compared to a baseline scenario without ammonia. Our model simulations reveal that this ammonia-driven particle formation and growth contributes to an increase of up to 80% in cloud condensation nuclei (CCN) concentrations at cloud-forming heights in the South Asian monsoon region. We find that ammonia profoundly influences the aerosol mass and composition in the ATAL through particle growth, as indicated by an order of magnitude increase in nitrate levels linked to ammonia emissions. However, the effect of ammonia-driven new particle formation on aerosol mass in the ATAL is relatively small. Ammonia emissions enhance the regional aerosol optical depth (AOD) for shortwave solar radiation by up to 70%. We conclude that ammonia has a pronounced effect on the ATAL development, composition, the regional AOD, and CCN concentrations. publication CC BY 4.0 https://creativecommons.org/licenses/by/4.0/ The Author(s) publication 2024 SzGeCERN Nuclear Physics - Experiment ARTICLE CERN Kohl, Matthias Mainz, Max Planck Inst. Ruhl, Samuel Mainz, Max Planck Inst. Almeida, João CERN Lisbon U. Faculty of Sciences of the University of Lisbon, Lisbon, Portugal Beckmann, Hannah M Tartu U. Caudillo-Plath, Lucía Goethe U., Frankfurt (main) Ehrhart, Sebastian Mainz, Max Planck Inst. Höhler, Kristina KIT, Karlsruhe Kaniyodical Sebastian, Milin KIT, Karlsruhe Kong, Weimeng CIT-USC Kunkler, Felix Mainz, Max Planck Inst. Onnela, Antti CERN Rato, Pedro CERN Goethe U., Frankfurt (main) Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt am Main, Germany Russell, Douglas M Goethe U., Frankfurt (main) Simon, Mario Goethe U., Frankfurt (main) Stark, Leander Innsbruck U. Umo, Nsikanabasi Silas KIT, Karlsruhe Unfer, Gabriela R TROPOS, Leibniz Yang, Boxing PSI, Villigen Yu, Wenjuan Helsinki U. Zauner-Wieczorek, Marcel Goethe U., Frankfurt (main) Zgheib, Imad Unlisted, CH Zheng, Zhensen Unlisted, AT Innsbruck U. Institute of Ion Physics and Applied Physics, University of Innsbruck, Innsbruck, Austria Curtius, Joachim Goethe U., Frankfurt (main) Donahue, Neil M Carnegie Mellon U. Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA, USA El Haddad, Imad PSI, Villigen Flagan, Richard C CIT-USC Gordon, Hamish Carnegie Mellon U. Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA, USA Harder, Hartwig Mainz, Max Planck Inst. He, Xu-Cheng Helsinki U. Cambridge U. Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, United Kingdom Kirkby, Jasper CERN Goethe U., Frankfurt (main) Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt am Main, Germany Kulmala, Markku Helsinki U. U. Helsinki (main) Nanjing U. Beijing U. of Chem. Tech. Helsinki Institute of Physics, University of Helsinki, Helsinki, Finland Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China Möhler, Ottmar KIT, Karlsruhe Pöhlker, Mira L TROPOS, Leibniz Leipzig U. Faculty of Physics and Earth Sciences, Leipzig Institute for Meteorology, Leipzig University, Leipzig, Germany Schobesberger, Siegfried UEF, Kuopio Volkamer, Rainer U. Colorado, Boulder Wang, Mingyi Chicago U. Borrmann, Stephan Mainz U. Mainz, Max Planck Inst. Particle Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany Pozzer, Andrea Cyprus Inst. Mainz, Max Planck Inst. Department of Atmospheric Chemistry, Max Planck Institute for Chemistry, Mainz, Germany Lelieveld, Jos Cyprus Inst. Mainz, Max Planck Inst. Department of Atmospheric Chemistry, Max Planck Institute for Chemistry, Mainz, Germany Christoudias, Theodoros Cyprus Inst. 215 1 2024 Climate. Atmos. Sci. 7 2735457 2435712 http://cds.cern.ch/record/2933339/files/s41612-024-00758-3 (1).pdf Fulltext 13 ARTICLE 2933205 SzGeCERN 20250604113046.0 DOI 10.1145/3708526 oai:cds.cern.ch:2933205 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2924984 2025-05-27T09:39:15Z 2025-05-28T04:00:07Z marcxml Inspire 2924984 eng Moreira, Ana Nova U., Lisboa submitter A Roadmap for Integrating Sustainability into Software Engineering Education 2024 27 p submitter The world faces escalating crises: record-breaking temperatures, widespread fires, severe flooding, increased oceanic microplastics, and unequal resource distribution. Academia introduces courses around sustainability to meet the new demand, but software engineering education lags behind. While software systems contribute to environmental issues through high energy consumption, they also hold the potential for solutions, such as more efficient and equitable resource management. Yet, sustainability remains a low priority for many businesses, including those in the digital sector. Business as usual is no longer viable. A transformational change in software engineering education is urgently needed. We must move beyond traditional curriculum models and fully integrate sustainability into every aspect of software development. By embedding sustainability as a core competency, we can equip future engineers not only to minimise harm but also to innovate solutions that drive positive, sustainable change. Only with such a shift can software engineering education meet the demands of a world in crisis and prepare students to lead the next generation of sustainable technology. This paper discusses a set of challenges and proposes a customisable education roadmap for integrating sustainability into the software engineering curricula. These challenges reflect our perspective on key considerations, stemming from regular, intensive discussions in regular workshops among the authors and the community, as well as our extensive research and teaching experience in the field. CC-BY-4.0 https://creativecommons.org/licenses/by/4.0 author(s) 2025 INSPIRE Education and Outreach INSPIRE Computing and Computers INSPIRE Education and Outreach Software engineering Sustainability Computing Education Software sustainability Sustainable software Sustainable development goals Software competencies Software engineering education Codes of ethics ARTICLE CERN Lago, Patricia Vrije U., Amsterdam Heldal, Rogardt U. Bergen (main) Betz, Stefanie Furtwangen U. Brooks, Ian West England U. Capilla, Rafael Rey Juan Carlos U., Madrid Coroamă, Vlad Constantin Duboc, Leticia Ramon Llull U., Barcelona Fernandes, João Paulo New York U., Abu Dhabi Leifler, Ola Linkoping U. Nguyen, Ngoc-Thanh U. Bergen (main) Oyedeji, Shola Lappeenranta U. Tech. Penzenstadler, Birgit Chalmers U. Tech. Peters, Anne-Kathrin Royal Inst. Tech., Stockholm Porras, Jari Lappeenranta U. Tech. Venters, Colin C CERN 139 5 ACM Trans. Softw. Eng. Method. 34 2025 2734831 2600620 http://cds.cern.ch/record/2933205/files/3708526.pdf Fulltext 13 ARTICLE 2933070 SzGeCERN 20250527235031.0 DOI 10.1039/d4ea00013g oai:cds.cern.ch:2933070 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2025-05-27T04:04:54Z marcxml oai:inspirehep.net:2924397 2025-05-26T12:43:13Z Inspire 2924397 eng Rörup, Birte Helsinki U. submitter Temperature, humidity, and ionisation effect of iodine oxoacid nucleation 2024 16 p submitter Iodine oxoacids are recognised for their significant contribution to the formation of new particles in marine and polar atmospheres. Nevertheless, to incorporate the iodine oxoacid nucleation mechanism into global simulations, it is essential to comprehend how this mechanism varies under various atmospheric conditions. In this study, we combined measurements from the CLOUD (Cosmic Leaving OUtdoor Droplets) chamber at CERN and simulations with a kinetic model to investigate the impact of temperature, ionisation, and humidity on iodine oxoacid nucleation. Our findings reveal that ion-induced particle formation rates remain largely unaffected by changes in temperature. However, neutral particle formation rates experience a significant increase when the temperature drops from +10 °C to −10 °C. Running the kinetic model with varying ionisation rates demonstrates that the particle formation rate only increases with a higher ionisation rate when the iodic acid concentration exceeds 1.5 × 107 cm−3, a concentration rarely reached in pristine marine atmospheres. Consequently, our simulations suggest that, despite higher ionisation rates, the charged cluster nucleation pathway of iodic acid is unlikely to be enhanced in the upper troposphere by higher ionisation rates. Instead, the neutral nucleation channel is likely to be the dominant channel in that region. Notably, the iodine oxoacid nucleation mechanism remains unaffected by changes in relative humidity from 2% to 80%. However, under unrealistically dry conditions (below 0.008% RH at +10 °C), iodine oxides (I2O4 and I2O5) significantly enhance formation rates. Therefore, we conclude that iodine oxoacid nucleation is the dominant nucleation mechanism for iodine nucleation in the marine and polar boundary layer atmosphere. publication CC BY-NC 3.0 https://creativecommons.org/licenses/by-nc/3.0/ The Author(s) publication 2024 INSPIRE Data Analysis and Statistics ARTICLE CERN He, Xu-Cheng Helsinki U. Cambridge U. (main) Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK Shen, Jiali Helsinki U. Helsinki Institute of Physics, University of Helsinki, Helsinki, Finland Baalbaki, Rima Helsinki U. Dada, Lubna Helsinki U. PSI, Villigen Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland Sipilä, Mikko Helsinki U. Kirkby, Jasper CERN Frankfurt U., FIAS Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt am Main, Frankfurt am Main, Germany Kulmala, Markku Helsinki U. Nanjing U. (main) Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China Amorim, Antonio Lisbon, CENTRA Baccarini, Andrea Ecole Polytechnique, Lausanne Bell, David M PSI, Villigen Caudillo-Plath, Lucía Frankfurt U., FIAS Duplissy, Jonathan Helsinki U. Helsinki Institute of Physics, University of Helsinki, Helsinki, Finland Finkenzeller, Henning Frankfurt U., FIAS Kürten, Andreas Frankfurt U., FIAS Lamkaddam, Houssni PSI, Villigen Lee, Chuan Ping PSI, Villigen Makhmutov, Vladimir Lebedev Inst. Moscow, MIPT Moscow Institute of Physics and Technology, National Research University, Moscow, Russia Manninen, Hanna E CERN Marie, Guillaume Frankfurt U., FIAS Marten, Ruby PSI, Villigen Mentler, Bernhard Helsinki U. Cambridge U. (main) Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK Onnela, Antti CERN Philippov, Maxim Lebedev Inst. Scholz, Carolin Wiebke Innsbruck U. Simon, Mario Frankfurt U., FIAS Stolzenburg, Dominik Helsinki U. TU Vienna Vienna U. Institute for Materials Chemistry, TU Wien, Vienna, Austria Tham, Yee Jun Zhongshan U., Zhuhai Tomé, Antonio UBI, Covilha Beira Interior U., Covilha Wagner, Andrea C Frankfurt U., FIAS Tampere U. of Tech. Aerosol Physics, Tampere University, Tampere, Finland Wang, Mingyi Chicago U. Wang, Dongyu PSI, Villigen Wang, Yonghong Unlisted, CN Weber, Stefan K CERN Frankfurt U., FIAS Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt am Main, Frankfurt am Main, Germany Zauner-Wieczorek, Marcel Frankfurt U., FIAS Baltensperger, Urs PSI, Villigen Curtius, Joachim Frankfurt U., FIAS Donahue, Neil M Carnegie Mellon U. Haddad, Imad El PSI, Villigen Flagan, Richard C Caltech Hansel, Armin Innsbruck U. Möhler, Ottmar KIT, Karlsruhe Petäjä, Tuukka Helsinki U. Volkamer, Rainer Colorado U. Worsnop, Douglas Helsinki U. Lehtipalo, Katrianne Finnish Meteorological Inst. 531-546 5 2024 Environ. Sci. Atmos. 4 2734577 1445911 http://cds.cern.ch/record/2933070/files/d4ea00013g (1).pdf Fulltext 13 ARTICLE 2933065 SzGeCERN 20250527235031.0 DOI 10.1002/adfm.202417653 oai:cds.cern.ch:2933065 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2025-05-27T04:04:54Z marcxml oai:inspirehep.net:2924399 2025-05-26T12:41:20Z Inspire 2924399 eng Giuri, Antonella CNR NANO submitter 3D Printed Ultra‐Fast Plastic Scintillators Based on Perovskite‐Photocurable Polymer Composite 2024 10 p submitter AbstractAdditive manufacturing technology is exploited for the first time to build a complex geometry scintillator using a thermosetting photocurable resin filled by lead halide perovskite as an active material. To this aim, an innovative nanocomposite is developed based on Cs4PbBr6 perovskite powders as fillers and photocurable resin as matrix, adopting stereolithography as a manufacturing process. The use of high‐Z lead‐based perovskite filler is needed for the detection of ionizing radiation and the conversion into visible light, while the polymer matrix provides 3D printability. On the one hand, the inclusion of the perovskite‐based filler in the photocurable resin does not affect the rheological behavior and photocuring properties of the polymer matrix, making the composite suitable for 3D printing by stereolithography. On the other hand, the presence of the polymer does not affect the emission properties of the perovskite leading to the development of a fast response scintillator with significantly improved environmental stability. This work opens the avenue to the development of a completely new class of plastic scintillating materials. publication CC BY 4.0 https://creativecommons.org/licenses/by/4.0/ The Author(s) publication 2024 INSPIRE Other PREPRINT CERN Chekkallur, Amal C INFN, Lecce Salento U. CNR NANO Dipartimento di Ingegneria dell’Innovazione, Università del Salento, via per Monteroni, km 1, Lecce 73100, Italy Calora, Mario INFN, Lecce Salento U. CNR NANO National Institute of Nuclear Physics (INFN) - Lecce Section, via per Monteroni, km 1, Lecce 73100, Italy Mastria, Rosanna CNR NANO Martinazzoli, Loris CERN Auffray, Etiennette CERN Padmanabhan, Sanosh Kunjalukkal Salento U. Carturan, Sara Padua U. INFN, Legnaro INFN Legnaro National Laboratories, Viale dell’Università 2, Legnaro (PD) 35020, Italy Moretto, Sandra Padua U. INFN, Legnaro INFN Legnaro National Laboratories, Viale dell’Università 2, Legnaro (PD) 35020, Italy Quarta, Gianluca INFN, Lecce Salento U. CEDAD (Centre of Applied Physics, Dating and Diagnostics), Department of Mathematics and Physics "Ennio de Giorgi", University of Salento, via per Monteroni, km 1, Lecce 73100, Italy Calcagnile, Lucio INFN, Lecce Salento U. CEDAD (Centre of Applied Physics, Dating and Diagnostics), Department of Mathematics and Physics "Ennio de Giorgi", University of Salento, via per Monteroni, km 1, Lecce 73100, Italy Polo, Matteo Trento U. INFN, Trento INFN TIFPA, Trento Institute for Fundamental Physics and Applications, via Sommarive 14, Povo, Trento 38123, Italy Quaranta, Alberto Trento U. INFN, Trento INFN TIFPA, Trento Institute for Fundamental Physics and Applications, via Sommarive 14, Povo, Trento 38123, Italy Maffezzoli, Alfonso Salento U. Caricato, Anna Paola INFN, Lecce Salento U. Dipartimento di Matematica e Fisica "E. De Giorgi", Università del Salento, via Arnesano, Lecce 73100, Italy Rizzo, Aurora INFN, Lecce CNR NANO National Institute of Nuclear Physics (INFN) - Lecce Section, via per Monteroni, km 1, Lecce 73100, Italy Corcione, Carola Esposito INFN, Lecce Salento U. National Institute of Nuclear Physics (INFN) - Lecce Section, via per Monteroni, km 1, Lecce 73100, Italy 12 2024 Adv. Funct. Mater. 35 2734573 2725875 http://cds.cern.ch/record/2933065/files/Adv Funct Materials - 2024 - Giuri - 3D Printed Ultra‐Fast Plastic Scintillators Based on Perovskite‐Photocurable Polymer.pdf Fulltext 11 PREPRINT 2933051 SzGeCERN 20250527235030.0 DOI 10.1039/d3ea00001j oai:cds.cern.ch:2933051 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2025-05-27T04:04:54Z marcxml oai:inspirehep.net:2924332 2025-05-26T12:46:31Z Inspire 2924332 eng Marten, Ruby PSI, Villigen submitter Assessing the importance of nitric acid and ammonia for particle growth in the polluted boundary layer 2024 10 p submitter Aerosols formed and grown by gas-to-particle processes are a major contributor to smog and haze in megacities, despite the competition between growth and loss rates. Rapid growth rates from ammonium nitrate formation have the potential to sustain particle number in typical urban polluted conditions. This process requires supersaturation of gas-phase ammonia and nitric acid with respect to ammonium nitrate saturation ratios. Urban environments are inhomogeneous. In the troposphere, vertical mixing is fast, and aerosols may experience rapidly changing temperatures. In areas close to sources of pollution, gas-phase concentrations can also be highly variable. In this work we present results from nucleation experiments at −10 °C and 5 °C in the CLOUD chamber at CERN. We verify, using a kinetic model, how long supersaturation is likely to be sustained under urban conditions with temperature and concentration inhomogeneities, and the impact it may have on the particle size distribution. We show that rapid and strong temperature changes of 1 °C min−1 are needed to cause rapid growth of nanoparticles through ammonium nitrate formation. Furthermore, inhomogeneous emissions of ammonia in cities may also cause rapid growth of particles publication CC BY-NC 3.0 https://creativecommons.org/licenses/by-nc/3.0/ The Author(s) publication 2024 INSPIRE Other ARTICLE CERN Xiao, Mao Caltech Wang, Mingyi Caltech Kong, Weimeng Caltech He, Xu-Cheng Helsinki U. Finnish Meteorological Inst. Finnish Meteorological Institute, FI-00560 Helsinki, Finland Stolzenburg, Dominik Vienna U. Helsinki U. Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland Pfeifer, Joschka Frankfurt U. CERN CERN, CH-1211 Geneva, Switzerland Marie, Guillaume Frankfurt U. Wang, Dongyu S Caltech Elser, Miriam PSI, Villigen Baccarini, Andrea Ecole Polytechnique, Lausanne PSI, Villigen Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland. E-mail: houssni.lamkaddam@psi.ch; imad.el-haddad@psi.ch Lee, Chuan Ping PSI, Villigen Amorim, Antonio Lisbon, CENTRA Baalbaki, Rima PSI, Villigen Bell, David M KIT, Karlsruhe Bertozzi, Barbara KIT, Karlsruhe Caudillo, Lucía Frankfurt U. Dada, Lubna PSI, Villigen Duplissy, Jonathan Helsinki U. Helsinki Institute of Physics (HIP), University of Helsinki, 00014 Helsinki, Finland Finkenzeller, Henning Colorado u. Heinritzi, Martin Frankfurt U., FIAS Frankfurt U. Lampimäki, Markus Helsinki U. Lehtipalo, Katrianne Helsinki U. Helsinki Inst. of Phys. Finnish Meteorological Institute, FI-00560 Helsinki, Finland Manninen, Hanna E CERN Mentler, Bernhard Innsbruck U. Onnela, Antti CERN Petäjä, Tuukka Helsinki U. Philippov, Maxim Lebedev Inst. Rörup, Birte PSI, Villigen Scholz, Wiebke Innsbruck U. Shen, Jiali PSI, Villigen Tham, Yee Jun PSI, Villigen Tomé, Antonio Beira Interior U., Covilha Wagner, Andrea C U. Colorado, Boulder Frankfurt U. Aerosol Physics Laboratory, Physics Unit, Tampere University, FI-33014 Tampere, Finland Weber, Stefan K Frankfurt U. CERN CERN, CH-1211 Geneva, Switzerland Zauner-Wieczorek, Marcel Frankfurt U. Curtius, Joachim Frankfurt U. Kulmala, Markku Helsinki U. Volkamer, Rainer Colorado u. Worsnop, Douglas R Unlisted, US, MA Dommen, Josef PSI, Villigen Flagan, Richard C Caltech Kirkby, Jasper CERN Frankfurt U. Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany Donahue, Neil McPherson Carnegie Mellon U. Lamkaddam, Houssni PSI, Villigen Baltensperger, Urs PSI, Villigen Haddad, Imad El PSI, Villigen 265-274 2 2024 Environ. Sci. Atmos. 4 2734545 939181 http://cds.cern.ch/record/2933051/files/d3ea00001j.pdf Fulltext 13 ARTICLE 2932902 20260304223751.0 DOI Springer 10.1140/epjc/s10052-025-14938-9 oai:cds.cern.ch:2932902 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2505.15019 Inspire oai:inspirehep.net:2923508 2026-03-03T15:45:55Z 2026-03-04T03:00:13Z marcxml true https://inspirehep.net/api/oai2d Inspire 2923508 arXiv arXiv:2505.15019 hep-ex eng Abe, K. ORCID:0009-0000-9620-788X GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan arXiv Sensitivity of the Hyper-Kamiokande experiment to neutrino oscillation parameters using acceleration neutrinos 2026-02-23 2025-05-20 17 p arXiv 17 pages, 8 figures ,submitted to EPJC arXiv This paper describes the analysis to estimate the sensitivity of the Hyper-Kamiokande experiment to long-baseline neutrino oscillation parameters using accelerator (anti)neutrinos. Results are presented for the CPV discovery sensitivity and precision measurements of the oscillation parameters $\delta_{CP}$, $\sin^2\theta_{23}$, $\Delta m^2_{32}$ and $\sin^2\theta_{13}$. With the assumed Hyper-Kamiokande running plan, a $5\sigma$ CPV discovery is possible in less than three years in the case of maximal CPV and known MO.In the absence of external constraints on the MO, considering the MO sensitivity of the Hyper-Kamiokande measurement using atmospheric neutrinos, the time for a CPV discovery could be estimated to be around six years. Using the nominal final exposure of $27 \times 10^{21}$ protons on target, corresponding to 10 years, with a ratio of 1:3 in neutrino to antineutrino beam mode, we expect to select approximately 10000 charged current, quasi-elastic-like, muon neutrino events, and a similar number of muon anti-neutrino events. In the electron (anti)neutrino appearance channels, we expect approximately 2000 charged current, quasi-elastic-like electron neutrino events and 800 electron antineutrino events. These larges event samples will allow Hyper-Kamiokande to exclude CP conservation at the $5\sigma$significance level for over 60% of the possible true values of $\delta_{CP}$. Springer This paper presents the expected sensitivity to the neutrino oscillationparameters of the Hyper-Kamiokande long-baseline program. The Hyper-Kamiokande experiment, currently under construction in Japan, will measure the oscillations of accelerator-produced neutrinos with thousands of selected events per sample: this corresponds to an increase of statistics of a factor 25–100 with respect to recent results from the currently-running long-baseline neutrino oscillation experiment in Japan, T2K. In the most favorable scenario we will achieve the discovery of Charge-Parity (CP) violation in neutrino oscillation at $5\sigma $ C.L. in less than 3 years. With 10 years of data-taking, and assuming a neutrino : antineutrino beam running ratio of 1:3, a CP violation discovery at $5\sigma $ C.L. is possible for more than 60% of the actual values of the CP-violating phase, $\delta _{CP}.$ Moreover, we will measure $\delta _{CP}$ with a precision ranging from 20$^{\circ },$ in the case of maximal CP violation, to 6$^{\circ },$ in the case of CP conservation. We aim to achieve a 0.5% resolution on the $\Delta m^2_{32}$ parameter, and a resolution between 3% and 0.5% on the $\sin ^2\theta _{23}$ parameter, depending on its true value. These results are obtained by extending the analysis methods of T2K with dedicated tuning to take into account the Hyper-Kamiokande design: the larger far detector, the more powerful beam, the upgraded near detector ND280, and the planned additional Intermediate Water Cherenkov Detector. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques arXiv hep-ex SzGeCERN Particle Physics - Experiment CERN ARTICLE HYPER KAMIOKANDE Merelo, F. Ballester ROR:https://ror.org/01460j859 Valencia, Polytechnic U. UniversitatPolitècnicadeValència(UPV),ETSIT,CaminodeVera,s/n.,Valencia,46022,Spain CidBarrio, L. ROR:https://ror.org/02zcam055 LSC, Canfranc Canfranc Underground Laboratory (LSC), Paseo de los Ayerbe s/n, Canfranc, ES-22888, Spain dela Fuente, E. ROR:https://ror.org/043xj7k26 Guadalajara U. Departamento de Física, CUCEI, Universidad de Guadalajara, Blvd. Marcelino García Barragán 1421, 44430, Guadalajara, Jalisco, México Doctorado en Tecnologías de la Información, CUCEA, Universidad de Guadalajara, Periférico Norte 799, Los Belenes, 45100, Zapopan, Jalisco, México Gomez-Gambin, A. ROR:https://ror.org/01460j859 Valencia, Polytechnic U. UniversitatPolitècnicadeValència(UPV),ETSIT,CaminodeVera,s/n.,Valencia,46022,Spain GraciaRodriguez, J. ROR:https://ror.org/01ggx4157 CERN MOMAGroup,UniversidaddeOviedo,C.SanFrancisco,3,33003Oviedo,Asturias,Oviedo,33007,Spain HernandoMorata, J.A. ROR:https://ror.org/030eybx10 Santiago de Compostela U., IGFAE Universidade de Santiago de Compostela, Instituto Galego de Física de Altas Enerxías (IGFAE), Rúa de Xoaquín Díaz de Rábago, s/n, Santiago de Compostela, 15705, Spain HerreroBosch, V. ROR:https://ror.org/01460j859 Valencia, Polytechnic U. UniversitatPolitècnicadeValència(UPV),ETSIT,CaminodeVera,s/n.,Valencia,46022,Spain IdrissiIbnsalih, W. ROR:https://ror.org/015kcdd40 ROR:https://ror.org/05vf0dg29 INFN, Naples Rome III U. INFNSezionediNapoli,ViaVicinaleCupaCintia,26,Napoli,80126,Italy Università della Campania "L. Vanvitelli" MoraMas, F.J. ROR:https://ror.org/01460j859 Valencia, Polytechnic U. UniversitatPolitècnicadeValència(UPV),ETSIT,CaminodeVera,s/n.,Valencia,46022,Spain PelegrinMosquera, J. Donostia Intl. Phys. Ctr., San Sebastian Donostia International Physics Center, C/ Manuel Mendizabal 4, Spain, 20018 Donostia-San Sebastián, Spain Thomas, M. GRID:grid.26999.3d ROR:https://ror.org/03gq8fr08 ROR:https://ror.org/008td3p62 Rutherford Tokyo U., ICRR STFC Rutherford Appleton Laboratory, RAL PPD and TD, Harwell Science Campus, Didcot, OX11 0QX, United Kingdom ILANCE, CNRS-University of Tokyo International Research Laboratory, 277-8582 Kashiwa, Chiba, Japan Laamara, R. Ahl GRID:grid.31143.34 ROR:https://ror.org/00r8w8f84 Rabat U. FacultyofSciences,MohammedVUniversity,Rabat Faculty of Sciences, Mohammed V University, Rabat, Morocco Aihara, H. ORCID:0000-0002-1907-5964 GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 Tokyo U. UniversityofTokyo,DepartmentofPhysics,7-3-1Hongo,Bunkyo-ku,Tokyo,113-0033,Japan Department of Physics, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-0033 Tokyo, Japan Ajmi, A. ORCID:0000-0002-0447-7362 GRID:grid.267457.5 ROR:https://ror.org/02gdzyx04 Winnipeg U. UniversityofWinnipeg,515PortageAve,Winnipeg,Manitoba,R3B2E9,Canada University of Winnipeg, 515 Portage Ave, R3B 2E9 Winnipeg, MB, Canada Akutsu, R. ORCID:0009-0005-5304-6111 GRID:grid.410794.f GRID:grid.472503.7 ROR:https://ror.org/01g5y5k24 ROR:https://ror.org/05nf86y53 KEK, Tsukuba JAEA, Ibaraki HighEnergyAcceleratorResearchOrganization(KEK),1-1Oho,Tsukuba,Ibaraki,305-0801,Japan also at J-PARC, Ibaraki, Japan High Energy Accelerator Research Organization (KEK), 1-1 Oho, 305-0801 Tsukuba, Ibaraki, Japan J-PARC, Naka, Ibaraki, Japan Alarakia-Charles, H. ORCID:0000-0003-3273-7659 GRID:grid.9835.7 ROR:https://ror.org/04f2nsd36 Lancaster U. PhysicsDepartment,LancasterUniversity,Lancaster,LA14YB,United Kingdom Physics Department, Lancaster University, LA1 4YB Lancaster, UK Alekseev, I. ORCID:0000-0003-3358-9635 Hakim, Y. Alj ORCID:0000-0002-9065-1303 GRID:grid.11835.3e ROR:https://ror.org/05krs5044 ROR:https://ror.org/05krs5044 Sheffield U. U. Sheffield (main) UniversityofSheffield,DepartmentofMathematicalandPhysicalSciences,WesternBank,Sheffield,S102TN,United Kingdom Department of Mathematical and Physical Sciences, Western Bank, University of Sheffield, S10 2TN Sheffield, UK Alonso Monsalve, S. ORCID:0000-0002-9678-7121 GRID:grid.5801.c ROR:https://ror.org/05a28rw58 Zurich, ETH ETHZurich,InstituteforParticlePhysicsandAstrophysics,Otto-Stern-Weg5,Zurich,CH-8093,Switzerland Institute for Particle Physics and Astrophysics, ETH Zurich, Otto-Stern-Weg 5, 8093 Zurich, Switzerland Amato, E. ORCID:0009-0007-9408-7336 GRID:grid.470190.b ROR:https://ror.org/022hq6c49 ROR:https://ror.org/027ynra39 INFN, Bari Bari U. INFNSezionediBari,viaOrabona4,Bari,70126,Italy INFN Sezione di Bari, via Orabona 4, 70126 Bari, Italy Ameli, F. ORCID:0000-0001-5435-0450 GRID:grid.470218.8 ROR:https://ror.org/02be6w209 Rome U. INFM, Rome INFNSezionediRoma,P.leA.Moro2,Roma,00185,Italy INFN Sezione di Roma, P.le A.Moro 2, 00185 Rome, Italy Anthony, L. ORCID:0009-0004-3160-4883 GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London ImperialCollegeLondon,DepartmentofPhysics,BlackettLaboratory,SouthKensingtonCampus,London,SW72AZ,United Kingdom Department of Physics, Blackett Laboratory, South Kensington Campus, Imperial College London, SW7 2AZ London, UK Araya, A. ORCID:0000-0002-6884-2875 GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 U. Tokyo (main) ERI, Tokyo TheUniversityofTokyo,EarthquakeResearchInstitute,1-1-1Yayoi,Bunkyo-ku,Tokyo,113-0032,Japan Earthquake Research Institute, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, 113-0032 Tokyo, Japan Arguello Quiroga, A. GRID:grid.4839.6 ROR:https://ror.org/01dg47b60 Rio de Janeiro, Pont. U. Catol. Department of Physics, Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Rua Marquês de São Vicente, 225, Gávea, 22451900 Rio de Janeiro, Brazil Arimoto, S. GRID:grid.258799.8 ROR:https://ror.org/02kpeqv85 Kyoto U. KyotoUniversity,DepartmentofPhysics,KyotoUniversity,Kyoto,Kyoto606-8502,Japan Department of Physics, Kyoto University, 606-8502 Kyoto, Japan Asaoka, Y. ORCID:0000-0001-6440-933X GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Ashida, Y. ORCID:0000-0003-4136-2086 GRID:grid.69566.3a Tohoku U., Astron. Inst. Faculty of Science, Tohoku University, Aoba, Aramaki, Aoba-ku, 980-8578 Sendai, Japan Aushev, V. GRID:grid.445694.e ROR:https://ror.org/02aaqv166 Taras Shevchenko U. KyivNationalUniversity Kyiv National University, Kyiv, Ukraine Barbi, M. ORCID:0000-0001-9673-185X GRID:grid.57926.3f ROR:https://ror.org/03dzc0485 Regina U. UniversityofRegina,DepartmentofPhysics,3737WascanaParkway,Regina,S4S0A2,Canada Department of Physics, University of Regina, 3737 Wascana Parkway, S4S0A2 Regina, Canada Barr, G. ORCID:0000-0002-9763-1882 GRID:grid.4991.5 ROR:https://ror.org/052gg0110 ROR:https://ror.org/01qz5mb56 Oxford U. Oak Ridge UniversityofOxford,DepartmentofPhysics,ClarendonLaboratory,ParksRoad,Oxford,OX13PU,UnitedKingdom Department of Physics, Clarendon Laboratory, University of Oxford, Parks Road, OX1 3PU Oxford, UK Batkiewicz-Kwasniak, M. ORCID:0000-0002-0376-9363 GRID:grid.418860.3 ROR:https://ror.org/01n78t774 Cracow, INP TheHenrykNiewodniczanskiInstituteofNuclearPhysicsPolishAcademyofSciences,Cracow,Poland,ul.Radzikowskiego152,Krakow,31-342, Poland The Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, ul. Radzikowskiego 152, 31-342 Kraków, Poland Beauchêne, A. GRID:grid.10877.39 ROR:https://ror.org/058t6p923 ROR:https://ror.org/058t6p923 LLR, Palaiseau Ecole Polytechnique EcolePolytechnique,IN2P3-CNRS,LaboratoireLeprince-Ringuet,F-91120Palaiseau,France Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, 91120 Palaiseau, France Benchekroun, D. ORCID:0000-0001-5196-8327 GRID:grid.412148.a Hassan U., II, Ain Chock FacultyofSciencesAinChock,HassanIIUniversityofCasablanca,Physics,Km8Routed’ElJadida,B.P.5366Maarif,Casablanca,20100,Morocco Faculty of Sciences Ain Chock, Hassan II University of Casablanca, Physics, B.P. 5366, Km 8 Route d’El Jadida, Maarif, 20100 Casablanca, Morocco Berardi, V. ORCID:0000-0002-8387-4568 GRID:grid.470190.b GRID:grid.4466.0 ROR:https://ror.org/022hq6c49 ROR:https://ror.org/027ynra39 INFN, Bari Bari U. INFNSezionediBari,viaOrabona4,Bari,70126,Italy PolitecnicodiBari,viaOrabona4,Bari,70126,Italy INFN Sezione di Bari, via Orabona 4, 70126 Bari, Italy Politecnico di Bari, via Orabona 4, 70126 Bari, Italy Bernardini, E. ORCID:0000-0001-8160-9544 GRID:grid.470212.2 GRID:grid.5608.b ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/00240q980 ROR:https://ror.org/00z34yn88 INFN, Bologna Padua U. INFN, Padua INFM, Padua INFN,SezionediPadova,viaMarzolo8,Padova,35131,Italy UniversitàdiPadova,DepartmentofPhysicsandAstronomy,viaMarzolo8,Padova,35131,Italy INFN, Sezione di Padova, via Marzolo 8, 35131 Padua, Italy Department of Physics and Astronomy, Università di Padova, via Marzolo 8, 35131 Padua, Italy Berns, L. ORCID:0000-0003-3914-5496 GRID:grid.69566.3a Tohoku U., Astron. Inst. TohokuUniversity,FacultyofScience,Aoba,Aramaki,Aoba-ku,Sendai,980-8578,Japan Faculty of Science, Tohoku University, Aoba, Aramaki, Aoba-ku, 980-8578 Sendai, Japan Bhadra, S. GRID:grid.21100.32 ROR:https://ror.org/05tkyf982 ROR:https://ror.org/05fq50484 Ben Gurion U. of Negev York U., Canada YorkUniversity,DepartmentofPhysics,DepartmentofPhysics,YorkUniversity,4700KeeleStreet,TorontoCanada,Canada,ONM3J1P3,Canada Department of Physics, York University, 4700 Keele Street, M3J1P3 Toronto, ON, Canada Bhuiyan, N. ORCID:0009-0002-1227-1548 GRID:grid.13097.3c ROR:https://ror.org/05tkyf982 ROR:https://ror.org/0220mzb33 Ben Gurion U. of Negev King's Coll. London King’sCollegeLondon,DepartmentofPhysics,King’sCollegeLondon,DepartmentofPhysics,Strand,London,WC2R2LS,UnitedKingdom Department of Physics, King’s College London, Strand, WC2R 2LS London, UK Bian, J. GRID:grid.266093.8 ROR:https://ror.org/04gyf1771 UC, Irvine UniversityofCalifornia,Irvine,DepartmentofPhysicsandAstronomy,IrvineCalifornia,Irvine,92697-4575,UnitedStatesofAmerica Department of Physics and Astronomy, University of California, 92697-4575 Irvine, USA Bianco, D. ORCID:0000-0001-7894-0447 GRID:grid.470211.1 GRID:grid.17374.36 ROR:https://ror.org/015kcdd40 INFN, Naples Unlisted, IT INFNSezionediNapoli,ViaVicinaleCupaCintia,26,Napoli,80126,Italy INFN Sezione di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy CIRA, the Italian Aerospace Research Centre, 81043 Capua, Italy Blanchet, A. ORCID:0000-0002-4992-0161 GRID:grid.462844.8 ROR:https://ror.org/01swzsf04 Geneva U. Paris U., VI-VII UniversitedeGeneve,DPNC,24,quaiErnest-Ansermet,Genève4,CH-1211,Switzerland Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), CNRS/IN2P3, Sorbonne Université, Paris, France Blondel, A. ORCID:0000-0002-1597-8859 GRID:grid.462844.8 Paris U., VI-VII LaboratoiredePhysiqueNucléaireetdeHautesEnergies(LPNHE),CNRS/IN2P3,SorbonneUniversité,Paris,France Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), CNRS/IN2P3, Sorbonne Université, Paris, France Boistier, P.M.M. ORCID:0009-0003-6806-473X GRID:grid.460789.4 ROR:https://ror.org/05k705z76 ROR:https://ror.org/058rvd314 IRFU, Saclay IPhT, Saclay IRFU,CEA,UniversitéParis-Saclay,Gif-sur-Yvette,France Université Paris-Saclay, Gif-sur-Yvette, France Bolognesi, S. ORCID:0000-0002-5816-4708 GRID:grid.460789.4 ROR:https://ror.org/05k705z76 ROR:https://ror.org/058rvd314 IRFU, Saclay IPhT, Saclay IRFU,CEA,UniversitéParis-Saclay,Gif-sur-Yvette,France Université Paris-Saclay, Gif-sur-Yvette, France Bonavera, L. ORCID:0000-0001-8039-3876 GRID:grid.10863.3c ROR:https://ror.org/01ggx4157 ROR:https://ror.org/006gksa02 CERN U. Oviedo (main) MOMAGroup,UniversidaddeOviedo,C.SanFrancisco,3,33003Oviedo,Asturias,Oviedo,33007,Spain MOMA Group, Universidad de Oviedo, C. San Francisco, 3, 33003 Oviedo, Asturias, Spain Bonilla, José L. ORCID:0009-0009-3240-1494 GRID:grid.8505.8 ROR:https://ror.org/00yae6e25 Wroclaw U. Wrocław University, Plac Maxa Borna 9, 50-204 Wrocław, Poland Bordoni, S. ORCID:0000-0002-5675-0631 GRID:grid.8591.5 ROR:https://ror.org/01swzsf04 Geneva U. UniversitedeGeneve,DPNC,24,quaiErnest-Ansermet,Genève4,CH-1211,Switzerland Universite de Geneve, DPNC, 24, quai Ernest-Ansermet, 1211 Geneva 4, Switzerland Bose, D. ORCID:0000-0003-1071-5854 GRID:grid.452759.8 ROR:https://ror.org/00kz6qq24 Bose Natl. Ctr., Kolkata S. N. Bose National Centre for Basic Sciences S. N. Bose National Centre for Basic Sciences, Kolkata, India Boyd, S. ORCID:0009-0000-6299-546X GRID:grid.7372.1 ROR:https://ror.org/01a77tt86 Warwick U. University of Warwick, Physics, Gibbet Hill Road, Coventry, CV312NY, United Kingdom University of Warwick, Physics, Gibbet Hill Road, CV312NY Coventry, UK Bozza, C. ORCID:0009-0006-3741-2676 GRID:grid.11780.3f ROR:https://ror.org/0192m2k53 ROR:https://ror.org/043kfae87 Salerno U. INFN, Salerno Università degli Studi di Salerno, Dipartimento di Fisica, Via Giovanni Paolo II 132, Fisciano, 84084, Italy INFN Gruppo Collegato di Salerno, Via Giovanni Paolo II 132, Fisciano, 84084, Italy Dipartimento di Fisica, Università degli Studi di Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Italy INFN Gruppo Collegato di Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Italy Bravar, A. ORCID:0000-0002-1134-1527 GRID:grid.8591.5 ROR:https://ror.org/01swzsf04 Geneva U. UniversitedeGeneve,DPNC,24,quaiErnest-Ansermet,Genève4,CH-1211,Switzerland Universite de Geneve, DPNC, 24, quai Ernest-Ansermet, 1211 Geneva 4, Switzerland Bronner, C. ORCID:0000-0001-9555-6033 GRID:grid.268446.a Yokohama Natl. U. Yokohama National University, Department of Physics, 79-5 Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa, 240-8501, Japan Department of Physics, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, 240-8501 Yokohama, Kanagawa, Japan Bubak, A. ORCID:0000-0001-7643-1534 GRID:grid.11866.38 ROR:https://ror.org/0104rcc94 Silesia U. University of Silesia in Katowice, Poland, A. Chełkowski Institute of Physics, Faculty of Science and Technology, ul. Bankowa 12, Katowice, 40-007, Poland A. Chełkowski Institute of Physics, Faculty of Science and Technology, University of Silesia in Katowice, ul. Bankowa 12, 40-007 Katowice, Poland Buchowicz, A. ORCID:0000-0001-9934-6826 GRID:grid.1035.7 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Institute of Radioelectronics and Multimedia Technology, Nowowiejska 15/19, Warsaw, 00-665, Poland Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland Avanzini, M. Buizza ORCID:0000-0003-1427-7572 GRID:grid.10877.39 ROR:https://ror.org/058t6p923 ROR:https://ror.org/058t6p923 LLR, Palaiseau Ecole Polytechnique EcolePolytechnique,IN2P3-CNRS,LaboratoireLeprince-Ringuet,F-91120Palaiseau,France Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, 91120 Palaiseau, France Burton, G. ORCID:0009-0007-7925-5813 GRID:grid.13097.3c GRID:grid.76978.37 ROR:https://ror.org/05tkyf982 ROR:https://ror.org/0220mzb33 ROR:https://ror.org/03gq8fr08 Ben Gurion U. of Negev King's Coll. London Rutherford King’sCollegeLondon,DepartmentofPhysics,King’sCollegeLondon,DepartmentofPhysics,Strand,London,WC2R2LS,UnitedKingdom STFC Rutherford Appleton Laboratory, RAL PPD and TD, Harwell Science Campus, Didcot, OX11 0QX, United Kingdom Department of Physics, King’s College London, Strand, WC2R 2LS London, UK STFC Rutherford Appleton Laboratory, RAL PPD and TD, Harwell Science Campus, OX11 0QX Didcot, UK Cafagna, F.S. ORCID:0000-0002-7450-4784 GRID:grid.470190.b ROR:https://ror.org/022hq6c49 ROR:https://ror.org/027ynra39 INFN, Bari Bari U. INFNSezionediBari,viaOrabona4,Bari,70126,Italy INFN Sezione di Bari, via Orabona 4, 70126 Bari, Italy Calabria, N.F. ORCID:0000-0003-3590-2808 GRID:grid.470190.b GRID:grid.4466.0 ROR:https://ror.org/022hq6c49 ROR:https://ror.org/027ynra39 INFN, Bari Bari U. INFNSezionediBari,viaOrabona4,Bari,70126,Italy PolitecnicodiBari,viaOrabona4,Bari,70126,Italy INFN Sezione di Bari, via Orabona 4, 70126 Bari, Italy Politecnico di Bari, via Orabona 4, 70126 Bari, Italy Mozota, J.M. Calvo GRID:grid.499304.3 ROR:https://ror.org/02zcam055 LSC, Canfranc Canfranc Underground Laboratory (LSC), Paseo de los Ayerbe s/n, Canfranc, ES-22888, Spain Canfranc Underground Laboratory (LSC), Paseo de los Ayerbe s/n, 22888 Canfranc, Spain Cao, S. ORCID:0000-0002-9046-5324 GRID:grid.510502.3 ROR:https://ror.org/01g5y5k24 KEK, Tsukuba IFIRSE, Quy Nhon HighEnergyAcceleratorResearchOrganization(KEK),1-1Oho,Tsukuba,Ibaraki,305-0801,Japan also at J-PARC, Ibaraki, Japan Institute For Interdisciplinary Research in Science and Education, International Center of Interdisciplinary Science and Education, 07 Science Avenue, Quy Nhon Nam Ward, 55131 Quy Nhon, Gia Lai, Vietnam Carabadjac, D. GRID:grid.10877.39 GRID:grid.460789.4 ROR:https://ror.org/058t6p923 ROR:https://ror.org/058t6p923 ROR:https://ror.org/058rvd314 LLR, Palaiseau Ecole Polytechnique IPhT, Saclay EcolePolytechnique,IN2P3-CNRS,LaboratoireLeprince-Ringuet,F-91120Palaiseau,France also at Université Paris-Saclay, Gif-sur-Yvette, France Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, 91120 Palaiseau, France Université Paris-Saclay, Gif-sur-Yvette, France Cartwright, S. GRID:grid.11835.3e ROR:https://ror.org/05krs5044 ROR:https://ror.org/05krs5044 Sheffield U. U. Sheffield (main) UniversityofSheffield,DepartmentofMathematicalandPhysicalSciences,WesternBank,Sheffield,S102TN,United Kingdom Department of Mathematical and Physical Sciences, Western Bank, University of Sheffield, S10 2TN Sheffield, UK Casado Lechuga, M.P. ORCID:0000-0002-0394-5646 GRID:grid.435462.2 GRID:grid.7080.f ROR:https://ror.org/01sdrjx85 ROR:https://ror.org/052g8jq94 Barcelona, IFAE Barcelona, Autonoma U. Institut de Física d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology (BIST), Campus UAB, E-08193 Bellaterra (Barcelona), Spain also at Departament de Fisica de la Universitat Autonoma de Barcelona, Barcelona, Spain Institut de Física d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology (BIST), Campus UAB, 08193 Bellaterra, Barcelona, Spain Departament de Fisica de la Universitat Autonoma de Barcelona, Barcelona, Spain Catanesi, M.G. ORCID:0000-0002-2987-7688 GRID:grid.470190.b ROR:https://ror.org/022hq6c49 ROR:https://ror.org/027ynra39 INFN, Bari Bari U. INFNSezionediBari,viaOrabona4,Bari,70126,Italy INFN Sezione di Bari, via Orabona 4, 70126 Bari, Italy Cavanagh, C. GRID:grid.5801.c ROR:https://ror.org/05a28rw58 Zurich, ETH Institute for Particle Physics and Astrophysics, ETH Zurich, Otto-Stern-Weg 5, 8093 Zurich, Switzerland Cebrián, S. ORCID:0000-0002-6948-5101 GRID:grid.11205.37 ROR:https://ror.org/012a91z28 ARAID, Zaragoza Zaragoza U. University of Zaragoza, Centre for Astroparticles and High Energy Physics (CAPA), C/ Pedro Cerbuna 12, Zaragoza, 50009, Spain Centre for Astroparticles and High Energy Physics (CAPA), University of Zaragoza, C/ Pedro Cerbuna 12, 50009 Zaragoza, Spain Chakir, E.M. GRID:grid.412150.3 ROR:https://ror.org/02wj89n04 Ibn Tofail U. Faculty of Sciences, Ibn-Tofail University, Kenitra, Department of Physics, Campus universitaire, PB 133, Kénitra , 14000, Morocco Department of Physics, Faculty of Sciences, Ibn-Tofail University, Kenitra, PB 133, Campus Universitaire, 14000 Kenitra, Morocco Chakrabarty, S. ORCID:0000-0002-1458-8517 GRID:grid.417972.e ROR:https://ror.org/0022nd079 Indian Inst. Tech., Guwahati Indian Institute of Technology- Guwahati, Indian Institute of Technology-Guwahati, Guwahati, India Choi, J.H. GRID:grid.412069.8 Dongshin U. Dongshin University, Laboratory for High Energy Physics, Naju, Chonnam, 58245, Republic of Korea Laboratory for High Energy Physics, Dongshin University, 58245 Naju, Chonnam, Republic of Korea Choquet, A. GRID:grid.26999.3d ROR:https://ror.org/008td3p62 Tokyo U., ICRR ILANCE, CNRS-University of Tokyo International Research Laboratory, 277-8582 Kashiwa, Chiba, Japan Choubey, S. ORCID:0000-0002-6071-8546 GRID:grid.5037.1 ROR:https://ror.org/026vcq606 Royal Inst. Tech., Stockholm KTH Royal Institute of Technology, Department of Physics, School of Engineering Sciences, Stockholm, SE-10691, Sweden Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, 10691 Stockholm, Sweden Chucuan Martinez, E.A. ORCID:0009-0009-8223-345X GRID:grid.419886.a ITESM, Monterrey Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Blvd. Pedro Infante 3773, Culiacan, 80100, Sinaloa, Mexico Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Blvd. Pedro Infante 3773, 80100 Culiacán, Sinaloa, Mexico Chytka, L. ORCID:0000-0001-5741-259X GRID:grid.10979.36 ROR:https://ror.org/02yhj4v17 ROR:https://ror.org/04qxnmv42 Joint Lab. Optics, Olomouc Prague, Inst. Phys. Palacky U. Palacký University Olomouc, Faculty of Science, Joint Laboratory of Optics, 17. listopadu 50A, 772 07 Olomouc, Czech Republic Faculty of Science, Joint Laboratory of Optics, Palacký University Olomouc, 17. listopadu 50A, 772 07 Olomouc, Czech Republic Cicerchia, M. ORCID:0000-0001-8216-7186 GRID:grid.466875.e ROR:https://ror.org/025e3ct30 INFN, Legnaro INFN Laboratori Nazionali di Legnaro INFN Laboratori Nazionali di Legnaro, Legnaro, Italy Cid Barrio, L. GRID:grid.499304.3 ROR:https://ror.org/02zcam055 LSC, Canfranc Canfranc Underground Laboratory (LSC), Paseo de los Ayerbe s/n, 22888 Canfranc, Spain M.Mollo, C. GRID:grid.436383.9 GRID:grid.12847.38 ROR:https://ror.org/015kcdd40 ROR:https://ror.org/039bjqg32 INFN, Naples Warsaw, Copernicus Astron. Ctr. Warsaw U. INFNSezionediNapoli,ViaVicinaleCupaCintia,26,Napoli,80126,Italy Nicolaus Copernicus Astronomical Centre of the Polish Academy of Sciences, Astrocent, Rektorska 4, 00-614 Warsaw, Poland the University of Warsaw, Warsaw, Poland Coleman, J. ORCID:0000-0003-1319-0889 GRID:grid.10025.36 ROR:https://ror.org/04xs57h96 ROR:https://ror.org/04xs57h96 Liverpool U. U. Liverpool (main) University of Liverpool, Department of Physics, University of Liverpool, Liverpool, L69 7ZX, United Kingdom Department of Physics, University of Liverpool, L69 7ZX Liverpool, UK Collazuol, G. ORCID:0000-0002-7876-6124 GRID:grid.470212.2 GRID:grid.5608.b ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/00240q980 ROR:https://ror.org/00z34yn88 INFN, Bologna Padua U. INFN, Padua INFM, Padua INFN,SezionediPadova,viaMarzolo8,Padova,35131,Italy UniversitàdiPadova,DepartmentofPhysicsandAstronomy,viaMarzolo8,Padova,35131,Italy INFN, Sezione di Padova, via Marzolo 8, 35131 Padua, Italy Department of Physics and Astronomy, Università di Padova, via Marzolo 8, 35131 Padua, Italy Cook, L. ORCID:0000-0001-8163-1717 GRID:grid.232474.4 ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, V6T 2A3, Canada TRIUMF, 4004 Wesbrook Mall, V6T 2A3 Vancouver, Canada Cormier, F. ORCID:0000-0002-8562-6832 GRID:grid.232474.4 ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, V6T 2A3, Canada TRIUMF, 4004 Wesbrook Mall, V6T 2A3 Vancouver, Canada Costas-Rodríguez, D. ORCID:0009-0003-4040-0658 GRID:grid.11794.3a ROR:https://ror.org/030eybx10 Santiago de Compostela U., IGFAE Universidade de Santiago de Compostela, Instituto Galego de Física de Altas Enerxías (IGFAE), Rúa de Xoaquín Díaz de Rábago, s/n, Santiago de Compostela, 15705, Spain Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Rúa de Xoaquín Díaz de Rábago, s/n, 15705 Santiago de Compostela, Spain Craplet, A. GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London ImperialCollegeLondon,DepartmentofPhysics,BlackettLaboratory,SouthKensingtonCampus,London,SW72AZ,United Kingdom Department of Physics, Blackett Laboratory, South Kensington Campus, Imperial College London, SW7 2AZ London, UK Cuen-Rochin, S. ORCID:0000-0001-5855-0927 GRID:grid.419886.a ITESM, Monterrey Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Blvd. Pedro Infante 3773, Culiacan, 80100, Sinaloa, Mexico Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Blvd. Pedro Infante 3773, 80100 Culiacán, Sinaloa, Mexico Dalmazzone, C. ORCID:0000-0001-6945-5845 GRID:grid.462844.8 Paris U., VI-VII LaboratoiredePhysiqueNucléaireetdeHautesEnergies(LPNHE),CNRS/IN2P3,SorbonneUniversité,Paris,France Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), CNRS/IN2P3, Sorbonne Université, Paris, France Danilov, M. ORCID:0000-0001-9227-5164 Daoud, M. GRID:grid.412150.3 ROR:https://ror.org/02wj89n04 Ibn Tofail U. Department of Physics, Faculty of Sciences, Ibn-Tofail University, Kenitra, PB 133, Campus Universitaire, 14000 Kenitra, Morocco Daret, T. ORCID:0000-0002-5429-8311 GRID:grid.460789.4 ROR:https://ror.org/05k705z76 ROR:https://ror.org/058rvd314 IRFU, Saclay IPhT, Saclay IRFU,CEA,UniversitéParis-Saclay,Gif-sur-Yvette,France Université Paris-Saclay, Gif-sur-Yvette, France De Cos, F.J. ORCID:0000-0002-9660-7944 GRID:grid.10863.3c ROR:https://ror.org/01ggx4157 ROR:https://ror.org/006gksa02 CERN U. Oviedo (main) MOMAGroup,UniversidaddeOviedo,C.SanFrancisco,3,33003Oviedo,Asturias,Oviedo,33007,Spain MOMA Group, Universidad de Oviedo, C. San Francisco, 3, 33003 Oviedo, Asturias, Spain de la Fuente, E. ORCID:0000-0001-9643-4134 GRID:grid.412890.6 ROR:https://ror.org/043xj7k26 Guadalajara U. Departamento de Física, CUCEI, Universidad de Guadalajara, Blvd. Marcelino García Barragán 1421, 44430 Guadalajara, Jalisco, Mexico Doctorado en Tecnologías de la Información, CUCEA, Universidad de Guadalajara, Periférico Norte 799, Los Belenes, 45100 Zapopan, Jalisco, Mexico De Lorenzis, A. ORCID:0000-0002-3830-702X GRID:grid.435462.2 ROR:https://ror.org/01sdrjx85 ROR:https://ror.org/02smfhw86 Barcelona, IFAE Virginia Tech. Institut de Física d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology (BIST), Campus UAB, E-08193 Bellaterra (Barcelona), Spain also at Qilimanjaro Quantum Tech S.L., Carrer de Veneçuela, 74, 08019 Barcelona, Spain Institut de Física d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology (BIST), Campus UAB, 08193 Bellaterra, Barcelona, Spain Qilimanjaro Quantum Tech S.L., Carrer de Veneçuela, 74, 08019 Barcelona, Spain De Rosa, G. ORCID:0000-0002-2197-511X GRID:grid.470211.1 GRID:grid.4691.a ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. INFNSezionediNapoli,ViaVicinaleCupaCintia,26,Napoli,80126,Italy Università Federico II di Napoli , Via Vicinale Cupa Cintia, 26, Napoli, 80126, Italy INFN Sezione di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy Università Federico II di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy Dealtry, T. ORCID:0000-0003-2256-9444 GRID:grid.9835.7 ROR:https://ror.org/04f2nsd36 Lancaster U. PhysicsDepartment,LancasterUniversity,Lancaster,LA14YB,United Kingdom Physics Department, Lancaster University, LA1 4YB Lancaster, UK Della Valle, M. ORCID:0000-0003-3142-5020 GRID:grid.470211.1 ROR:https://ror.org/015kcdd40 INFN, Naples INFNSezionediNapoli,ViaVicinaleCupaCintia,26,Napoli,80126,Italy INFN Sezione di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy Densham, C. ORCID:0000-0001-6819-1075 GRID:grid.76978.37 ROR:https://ror.org/03gq8fr08 Rutherford STFC Rutherford Appleton Laboratory, RAL PPD and TD, Harwell Science Campus, Didcot, OX11 0QX, United Kingdom STFC Rutherford Appleton Laboratory, RAL PPD and TD, Harwell Science Campus, OX11 0QX Didcot, UK Dergacheva, A. ORCID:0000-0002-5696-4234 Devi, M.M. ORCID:0000-0001-6569-0792 GRID:grid.45982.32 ROR:https://ror.org/005x56091 Tezpur U. Tezpur University, Physics, Napaam, Sonitpur, Assam, 784028, India Physics, Tezpur University, Napaam, 784028 Sonitpur, Assam, India Di Lodovico, F. ORCID:0000-0003-3952-2175 GRID:grid.13097.3c ROR:https://ror.org/05tkyf982 ROR:https://ror.org/0220mzb33 Ben Gurion U. of Negev King's Coll. London King’sCollegeLondon,DepartmentofPhysics,King’sCollegeLondon,DepartmentofPhysics,Strand,London,WC2R2LS,UnitedKingdom Department of Physics, King’s College London, Strand, WC2R 2LS London, UK Di Nitto, A. ORCID:0000-0002-9319-366X GRID:grid.470211.1 GRID:grid.4691.a ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. INFNSezionediNapoli,ViaVicinaleCupaCintia,26,Napoli,80126,Italy Università Federico II di Napoli , Via Vicinale Cupa Cintia, 26, Napoli, 80126, Italy INFN Sezione di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy Università Federico II di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy Di Nola, A. ORCID:0009-0009-8782-7222 GRID:grid.470211.1 GRID:grid.4691.a ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. INFNSezionediNapoli,ViaVicinaleCupaCintia,26,Napoli,80126,Italy Università Federico II di Napoli , Via Vicinale Cupa Cintia, 26, Napoli, 80126, Italy INFN Sezione di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy Università Federico II di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy López, G. Díaz GRID:grid.462844.8 Paris U., VI-VII LaboratoiredePhysiqueNucléaireetdeHautesEnergies(LPNHE),CNRS/IN2P3,SorbonneUniversité,Paris,France Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), CNRS/IN2P3, Sorbonne Université, Paris, France Dieminger, T.C. ORCID:0009-0004-1501-8083 GRID:grid.5801.c ROR:https://ror.org/05a28rw58 Zurich, ETH ETHZurich,InstituteforParticlePhysicsandAstrophysics,Otto-Stern-Weg5,Zurich,CH-8093,Switzerland Institute for Particle Physics and Astrophysics, ETH Zurich, Otto-Stern-Weg 5, 8093 Zurich, Switzerland Divecha, D. GRID:grid.57926.3f ROR:https://ror.org/03dzc0485 Regina U. UniversityofRegina,DepartmentofPhysics,3737WascanaParkway,Regina,S4S0A2,Canada Department of Physics, University of Regina, 3737 Wascana Parkway, S4S0A2 Regina, Canada Dobrzynska, M. ORCID:0000-0003-1470-2639 GRID:grid.450295.f ROR:https://ror.org/00nzsxq20 NCBJ, Swierk National Centre for Nuclear Research, ul. Soltana 7, Otwock, 05-400, Poland National Centre for Nuclear Research, ul. Soltana 7, 05-400 Otwock, Poland Dohnal, T. ORCID:0000-0002-2871-8853 GRID:grid.4491.8 ROR:https://ror.org/024d6js02 Charles U. IPNP, FMF Charles University, Ke Karlovu 3, 121 16 Prague 2, Czech Republic Doyle, T. ORCID:0000-0003-0196-0559 GRID:grid.4991.5 ROR:https://ror.org/052gg0110 Oxford U. Department of Physics, Clarendon Laboratory, University of Oxford, Parks Road, OX1 3PU Oxford, UK Drakopoulou, E. ORCID:0000-0003-2493-8039 GRID:grid.6083.d ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. NCSR Demokritos, Institute of Nuclear and Particle Physics, Neapoleos Str. 27 & Patr. Grigoriou E, Agia Paraskevi Attikis, 15341, Greece Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos Str. 27 and Patr. Grigoriou E, 15341 Agia Paraskevi, Attiki, Greece Drapier, O. ORCID:0000-0002-9920-8834 GRID:grid.10877.39 ROR:https://ror.org/058t6p923 ROR:https://ror.org/058t6p923 LLR, Palaiseau Ecole Polytechnique EcolePolytechnique,IN2P3-CNRS,LaboratoireLeprince-Ringuet,F-91120Palaiseau,France Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, 91120 Palaiseau, France Duarte Galvan, C. GRID:grid.419886.a ITESM, Monterrey Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Blvd. Pedro Infante 3773, 80100 Culiacán, Sinaloa, Mexico Dumarchez, J. ORCID:0000-0002-9243-4425 GRID:grid.462844.8 Paris U., VI-VII LaboratoiredePhysiqueNucléaireetdeHautesEnergies(LPNHE),CNRS/IN2P3,SorbonneUniversité,Paris,France Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), CNRS/IN2P3, Sorbonne Université, Paris, France Dygnarowicz, K. ORCID:0000-0002-8711-9420 GRID:grid.1035.7 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Institute of Radioelectronics and Multimedia Technology, Nowowiejska 15/19, Warsaw, 00-665, Poland Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland Earle, S. GRID:grid.1008.9 ROR:https://ror.org/01ej9dk98 Melbourne U. The University of Melbourne, School of Physics, The University of Melbourne, Melbourne, Victoria 3010, Australia School of Physics, The University of Melbourne, 3010 Melbourne, VIC, Australia Eguchi, A. ORCID:0000-0002-7753-8656 GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 Tokyo U. UniversityofTokyo,DepartmentofPhysics,7-3-1Hongo,Bunkyo-ku,Tokyo,113-0033,Japan Department of Physics, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-0033 Tokyo, Japan Abassi, Abderrazaq El ORCID:0009-0002-0516-9465 GRID:grid.412150.3 ROR:https://ror.org/02wj89n04 Ibn Tofail U. Faculty of Sciences, Ibn-Tofail University, Kenitra, Department of Physics, Campus universitaire, PB 133, Kénitra , 14000, Morocco Department of Physics, Faculty of Sciences, Ibn-Tofail University, Kenitra, PB 133, Campus Universitaire, 14000 Kenitra, Morocco El Baz, M. ORCID:0000-0002-9562-3897 GRID:grid.8591.5 ROR:https://ror.org/01swzsf04 Geneva U. Universite de Geneve, DPNC, 24, quai Ernest-Ansermet, 1211 Geneva 4, Switzerland El Kaftaoui, A. ORCID:0009-0005-9403-2066 GRID:grid.412150.3 ROR:https://ror.org/02wj89n04 Ibn Tofail U. Faculty of Sciences, Ibn-Tofail University, Kenitra, Department of Physics, Campus universitaire, PB 133, Kénitra , 14000, Morocco Department of Physics, Faculty of Sciences, Ibn-Tofail University, Kenitra, PB 133, Campus Universitaire, 14000 Kenitra, Morocco Ellis, J. ORCID:0000-0002-7399-0813 GRID:grid.13097.3c ROR:https://ror.org/05tkyf982 ROR:https://ror.org/0220mzb33 Ben Gurion U. of Negev King's Coll. London King’sCollegeLondon,DepartmentofPhysics,King’sCollegeLondon,DepartmentofPhysics,Strand,London,WC2R2LS,UnitedKingdom Department of Physics, King’s College London, Strand, WC2R 2LS London, UK Elmansali, R. GRID:grid.34428.39 ROR:https://ror.org/02qtvee93 Carleton U. Department of Physics, Carleton University, 1125 Colonel By Drive, K1S 5B6 Ottawa, ON, Canada Emery, S. ORCID:0000-0003-3048-8265 GRID:grid.460789.4 ROR:https://ror.org/05k705z76 ROR:https://ror.org/058rvd314 IRFU, Saclay IPhT, Saclay IRFU,CEA,UniversitéParis-Saclay,Gif-sur-Yvette,France Université Paris-Saclay, Gif-sur-Yvette, France Er-Rabit, R. ORCID:0009-0002-6862-4023 GRID:grid.412150.3 ROR:https://ror.org/02wj89n04 Ibn Tofail U. Faculty of Sciences, Ibn-Tofail University, Kenitra, Department of Physics, Campus universitaire, PB 133, Kénitra , 14000, Morocco Department of Physics, Faculty of Sciences, Ibn-Tofail University, Kenitra, PB 133, Campus Universitaire, 14000 Kenitra, Morocco Ershova, A. ORCID:0000-0001-6335-2343 GRID:grid.10877.39 ROR:https://ror.org/058t6p923 ROR:https://ror.org/058t6p923 LLR, Palaiseau Ecole Polytechnique EcolePolytechnique,IN2P3-CNRS,LaboratoireLeprince-Ringuet,F-91120Palaiseau,France Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, 91120 Palaiseau, France Esmaili, A. ORCID:0000-0001-5082-9472 GRID:grid.4839.6 ROR:https://ror.org/01dg47b60 Rio de Janeiro, Pont. U. Catol. Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Department of Physics, Rua Marquês de São Vicente, 225, Gávea, Rio de Janeiro, 22451900, Brazil Department of Physics, Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Rua Marquês de São Vicente, 225, Gávea, 22451900 Rio de Janeiro, Brazil Bosch, R. Esteve GRID:grid.157927.f ROR:https://ror.org/01460j859 Valencia, Polytechnic U. UniversitatPolitècnicadeValència(UPV),ETSIT,CaminodeVera,s/n.,Valencia,46022,Spain Universitat Politècnica de València (UPV), ETSIT, Camino de Vera, s/n., 46022 Valencia, Spain Eurin, G. ORCID:0000-0002-4511-3960 GRID:grid.460789.4 ROR:https://ror.org/058rvd314 IPhT, Saclay Université Paris-Saclay, Gif-sur-Yvette, France Anaya, C.E. Falcon ORCID:0000-0002-5865-2162 GRID:grid.419886.a ITESM, Monterrey Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Blvd. Pedro Infante 3773, Culiacan, 80100, Sinaloa, Mexico Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Blvd. Pedro Infante 3773, 80100 Culiacán, Sinaloa, Mexico Morales, L.E. Falcon GRID:grid.419886.a ITESM, Monterrey Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501 Sur, Col: Tecnologico, Monterrey, N.L., Mexico, 64700, N.L., 64700, Mexico Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501 Sur Col: Tecnologico, 64700 Monterrey, NL, Mexico Fannon, J. GRID:grid.11835.3e ROR:https://ror.org/05krs5044 ROR:https://ror.org/05krs5044 Sheffield U. U. Sheffield (main) UniversityofSheffield,DepartmentofMathematicalandPhysicalSciences,WesternBank,Sheffield,S102TN,United Kingdom Department of Mathematical and Physical Sciences, Western Bank, University of Sheffield, S10 2TN Sheffield, UK Fedotov, S. ORCID:0000-0002-7495-6860 Feng, J. GRID:grid.258799.8 ROR:https://ror.org/02kpeqv85 Kyoto U. KyotoUniversity,DepartmentofPhysics,KyotoUniversity,Kyoto,Kyoto606-8502,Japan Department of Physics, Kyoto University, 606-8502 Kyoto, Japan Ferlewicz, D. ORCID:0000-0002-4374-1234 GRID:grid.462844.8 ROR:https://ror.org/057zh3y96 Tokyo U. Paris U., VI-VII UniversityofTokyo,DepartmentofPhysics,7-3-1Hongo,Bunkyo-ku,Tokyo,113-0033,Japan Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), CNRS/IN2P3, Sorbonne Université, Paris, France Fernández-Menéndez, P. ORCID:0000-0001-9034-1930 GRID:grid.11794.3a ROR:https://ror.org/030eybx10 Donostia Intl. Phys. Ctr., San Sebastian Santiago de Compostela U., IGFAE Donostia International Physics Center, C/ Manuel Mendizabal 4, Spain, 20018 Donostia-San Sebastián, Spain Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Rúa de Xoaquín Díaz de Rábago, s/n, 15705 Santiago de Compostela, Spain Fernández-Martinez, E. GRID:grid.5515.4 ROR:https://ror.org/01cby8j38 Madrid, Autonoma U. University Autonoma Madrid (UAM), Dept. Theoretical Physics & CIAFF, Ciudad Universitaria de Cantoblanco, Madrid, ES-28049, Spain Department of Theoretical Physics and CIAFF, Ciudad Universitaria de Cantoblanco, University Autonoma Madrid (UAM), 28049 Madrid, Spain Ferrario, P. GRID:grid.452382.a Donostia Intl. Phys. Ctr., San Sebastian Donostia International Physics Center, C/ Manuel Mendizabal 4, Spain, 20018 Donostia-San Sebastián, Spain Donostia International Physics Center, C/ Manuel Mendizabal 4, 20018 Donostia-San Sebastián, Spain Ferrazzi, B. ORCID:0000-0002-4405-3935 GRID:grid.57926.3f ROR:https://ror.org/03dzc0485 Regina U. UniversityofRegina,DepartmentofPhysics,3737WascanaParkway,Regina,S4S0A2,Canada Department of Physics, University of Regina, 3737 Wascana Parkway, S4S0A2 Regina, Canada Finch, A. ORCID:0000-0002-5433-6031 GRID:grid.9835.7 ROR:https://ror.org/04f2nsd36 Lancaster U. PhysicsDepartment,LancasterUniversity,Lancaster,LA14YB,United Kingdom Physics Department, Lancaster University, LA1 4YB Lancaster, UK Finley, C. ORCID:0000-0003-3350-390X GRID:grid.10548.38 ROR:https://ror.org/05f0yaq80 ROR:https://ror.org/05f0yaq80 Stockholm U. Stockholm U., OKC Oskar Klein Centre and Dept. of Physics, Stockholm University, Dept. Physics, Stockholm University, Stockholm, SE-10691, Sweden Oskar Klein Centre and Department of Physics, Stockholm University, 10691 Stockholm, Sweden Fiorentini Aguirre, G.A. ORCID:0000-0002-4801-4159 GRID:grid.34428.39 ROR:https://ror.org/02qtvee93 Carleton U. Carleton University, Department of Physics, 1125 Colonel By Drive, Ottawa, ON K1S 5B6, Canada Department of Physics, Carleton University, 1125 Colonel By Drive, K1S 5B6 Ottawa, ON, Canada Fitton, M. ORCID:0009-0009-8223-3636 GRID:grid.76978.37 ROR:https://ror.org/03gq8fr08 Rutherford STFC Rutherford Appleton Laboratory, RAL PPD and TD, Harwell Science Campus, Didcot, OX11 0QX, United Kingdom STFC Rutherford Appleton Laboratory, RAL PPD and TD, Harwell Science Campus, OX11 0QX Didcot, UK Franks, M. GRID:grid.5801.c ROR:https://ror.org/05a28rw58 Zurich, ETH ETHZurich,InstituteforParticlePhysicsandAstrophysics,Otto-Stern-Weg5,Zurich,CH-8093,Switzerland Institute for Particle Physics and Astrophysics, ETH Zurich, Otto-Stern-Weg 5, 8093 Zurich, Switzerland Friend, M. GRID:grid.410794.f GRID:grid.472503.7 GRID:grid.275033.0 ROR:https://ror.org/01g5y5k24 ROR:https://ror.org/05nf86y53 ROR:https://ror.org/0516ah480 KEK, Tsukuba JAEA, Ibaraki Sokendai, Tsukuba HighEnergyAcceleratorResearchOrganization(KEK),1-1Oho,Tsukuba,Ibaraki,305-0801,Japan also at J-PARC, Ibaraki, Japan also at SOKENDAI, Tsukuba, Japan High Energy Accelerator Research Organization (KEK), 1-1 Oho, 305-0801 Tsukuba, Ibaraki, Japan J-PARC, Naka, Ibaraki, Japan SOKENDAI, Tsukuba, Japan Fujii, Y. GRID:grid.410794.f GRID:grid.472503.7 ROR:https://ror.org/01g5y5k24 ROR:https://ror.org/05nf86y53 KEK, Tsukuba JAEA, Ibaraki HighEnergyAcceleratorResearchOrganization(KEK),1-1Oho,Tsukuba,Ibaraki,305-0801,Japan also at J-PARC, Ibaraki, Japan High Energy Accelerator Research Organization (KEK), 1-1 Oho, 305-0801 Tsukuba, Ibaraki, Japan J-PARC, Naka, Ibaraki, Japan Fukuda, Y. ORCID:0000-0003-2660-1958 GRID:grid.411811.c Miyagi U. of Education Miyagi University of Education, 149 Aramaki-aza-Aoba, Aoba-ku, Sendai, 980-0845, Japan Miyagi University of Education, 149 Aramaki-aza-Aoba, Aoba-ku, 980-0845 Sendai, Japan Fusco, L. ORCID:0000-0001-8254-3372 GRID:grid.11780.3f ROR:https://ror.org/043kfae87 ROR:https://ror.org/0192m2k53 INFN, Salerno Salerno U. INFN Gruppo Collegato di Salerno, Via Giovanni Paolo II 132, Fisciano, 84084, Italy Università degli Studi di Salerno, Dipartimento di Fisica, Via Giovanni Paolo II 132, Fisciano, 84084, Italy Dipartimento di Fisica, Università degli Studi di Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Italy INFN Gruppo Collegato di Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Italy Gaior, R. ORCID:0009-0005-2488-5856 GRID:grid.462844.8 Paris U., VI-VII Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), CNRS/IN2P3, Sorbonne Université, Paris, France Galinski, G. ORCID:0000-0003-0223-3265 GRID:grid.1035.7 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Institute of Radioelectronics and Multimedia Technology, Nowowiejska 15/19, Warsaw, 00-665, Poland Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland Gamboa Goñi, R. ORCID:0000-0003-1026-7633 GRID:grid.419886.a ITESM, Monterrey Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501 Sur, Col: Tecnologico, Monterrey, N.L., Mexico, 64700, N.L., 64700, Mexico Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501 Sur Col: Tecnologico, 64700 Monterrey, NL, Mexico Gao, J. GRID:grid.13097.3c ROR:https://ror.org/05tkyf982 ROR:https://ror.org/0220mzb33 Ben Gurion U. of Negev King's Coll. London King’sCollegeLondon,DepartmentofPhysics,King’sCollegeLondon,DepartmentofPhysics,Strand,London,WC2R2LS,UnitedKingdom Department of Physics, King’s College London, Strand, WC2R 2LS London, UK Riesgo, F. Garcia ORCID:0000-0002-5286-3073 GRID:grid.10863.3c ROR:https://ror.org/01ggx4157 ROR:https://ror.org/006gksa02 CERN U. Oviedo (main) MOMAGroup,UniversidaddeOviedo,C.SanFrancisco,3,33003Oviedo,Asturias,Oviedo,33007,Spain MOMA Group, Universidad de Oviedo, C. San Francisco, 3, 33003 Oviedo, Asturias, Spain Garde, C. ORCID:0009-0003-2661-1803 GRID:grid.32056.32 ROR:https://ror.org/028qa3n13 IISER, Pune Vishwakarma Institute of Information Technology„ Vishwakarma Institute of Information Technology S. No. 3/4, Kondhwa (Bk), Pune, 411048, India Vishwakarma Institute of Information Technology, S. No. 3/4, Kondhwa (Bk), 411048 Pune, India Gaur, R. ORCID:0009-0006-6509-4580 GRID:grid.232474.4 ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, V6T 2A3, Canada TRIUMF, 4004 Wesbrook Mall, V6T 2A3 Vancouver, Canada Gialanella, L. GRID:grid.470211.1 ROR:https://ror.org/015kcdd40 ROR:https://ror.org/05vf0dg29 INFN, Naples Rome III U. INFNSezionediNapoli,ViaVicinaleCupaCintia,26,Napoli,80126,Italy Università della Campania "L. Vanvitelli" INFN Sezione di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy Università della Campania L. Vanvitelli, Naples, Italy Giganti, C. ORCID:0000-0002-9543-2345 GRID:grid.462844.8 Paris U., VI-VII LaboratoiredePhysiqueNucléaireetdeHautesEnergies(LPNHE),CNRS/IN2P3,SorbonneUniversité,Paris,France Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), CNRS/IN2P3, Sorbonne Université, Paris, France Gligorov, V. ORCID:0000-0002-8189-8267 GRID:grid.462844.8 Paris U., VI-VII LaboratoiredePhysiqueNucléaireetdeHautesEnergies(LPNHE),CNRS/IN2P3,SorbonneUniversité,Paris,France Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), CNRS/IN2P3, Sorbonne Université, Paris, France Gogota, O. ORCID:0000-0003-4108-7256 GRID:grid.445694.e ROR:https://ror.org/02aaqv166 Taras Shevchenko U. KyivNationalUniversity Kyiv National University, Kyiv, Ukraine Gola, M. ORCID:0000-0001-6730-3127 GRID:grid.232474.4 ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, V6T 2A3, Canada TRIUMF, 4004 Wesbrook Mall, V6T 2A3 Vancouver, Canada Goldsack, A. ORCID:0000-0001-6792-3238 GRID:grid.13097.3c ROR:https://ror.org/05tkyf982 ROR:https://ror.org/0220mzb33 Ben Gurion U. of Negev King's Coll. London King’sCollegeLondon,DepartmentofPhysics,King’sCollegeLondon,DepartmentofPhysics,Strand,London,WC2R2LS,UnitedKingdom Department of Physics, King’s College London, Strand, WC2R 2LS London, UK Gomez-Cadenas, J.J. ORCID:0000-0002-8224-7714 GRID:grid.452382.a Donostia Intl. Phys. Ctr., San Sebastian Donostia International Physics Center, C/ Manuel Mendizabal 4, Spain, 20018 Donostia-San Sebastián, Spain Donostia International Physics Center, C/ Manuel Mendizabal 4, 20018 Donostia-San Sebastián, Spain Gonin, M. ORCID:0000-0001-5324-7187 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 ROR:https://ror.org/008td3p62 Kamioka Observ. ILANCE, Tokyo Tokyo U., ICRR KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan ILANCE, CNRS- University of Tokyo International Research Laboratory, Kashiwa, Chiba 277- 8582, Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan ILANCE, CNRS-University of Tokyo International Research Laboratory, 277-8582 Kashiwa, Chiba, Japan González-Nuevo, J. ORCID:0000-0003-1354-6822 GRID:grid.10863.3c ROR:https://ror.org/01ggx4157 ROR:https://ror.org/006gksa02 CERN U. Oviedo (main) MOMAGroup,UniversidaddeOviedo,C.SanFrancisco,3,33003Oviedo,Asturias,Oviedo,33007,Spain MOMA Group, Universidad de Oviedo, C. San Francisco, 3, 33003 Oviedo, Asturias, Spain Gorin, A. GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Gornea, R. ORCID:0000-0003-4063-8466 GRID:grid.34428.39 ROR:https://ror.org/02qtvee93 Carleton U. Carleton University, Department of Physics, 1125 Colonel By Drive, Ottawa, ON K1S 5B6, Canada Department of Physics, Carleton University, 1125 Colonel By Drive, K1S 5B6 Ottawa, ON, Canada Goto, S. GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 Tokyo U. UniversityofTokyo,DepartmentofPhysics,7-3-1Hongo,Bunkyo-ku,Tokyo,113-0033,Japan Department of Physics, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-0033 Tokyo, Japan Gouighri, M. ORCID:0000-0002-9551-0251 GRID:grid.412150.3 ROR:https://ror.org/02wj89n04 Ibn Tofail U. Faculty of Sciences, Ibn-Tofail University, Kenitra, Department of Physics, Campus universitaire, PB 133, Kénitra , 14000, Morocco Department of Physics, Faculty of Sciences, Ibn-Tofail University, Kenitra, PB 133, Campus Universitaire, 14000 Kenitra, Morocco Gracia Rodriguez, J. ORCID:0000-0001-9548-7322 GRID:grid.10863.3c ROR:https://ror.org/006gksa02 U. Oviedo (main) MOMA Group, Universidad de Oviedo, C. San Francisco, 3, 33003 Oviedo, Asturias, Spain Graham, K. ORCID:0000-0002-5832-8653 GRID:grid.34428.39 ROR:https://ror.org/02qtvee93 Carleton U. Carleton University, Department of Physics, 1125 Colonel By Drive, Ottawa, ON K1S 5B6, Canada Department of Physics, Carleton University, 1125 Colonel By Drive, K1S 5B6 Ottawa, ON, Canada Gramegna, F. ORCID:0000-0001-6112-0602 GRID:grid.466875.e ROR:https://ror.org/025e3ct30 INFN, Legnaro INFN Laboratori Nazionali di Legnaro INFN Laboratori Nazionali di Legnaro, Legnaro, Italy Grassi, M. ORCID:0000-0003-2422-6736 GRID:grid.470212.2 GRID:grid.5608.b ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/00240q980 ROR:https://ror.org/00z34yn88 INFN, Bologna Padua U. INFN, Padua INFM, Padua INFN,SezionediPadova,viaMarzolo8,Padova,35131,Italy UniversitàdiPadova,DepartmentofPhysicsandAstronomy,viaMarzolo8,Padova,35131,Italy INFN, Sezione di Padova, via Marzolo 8, 35131 Padua, Italy Department of Physics and Astronomy, Università di Padova, via Marzolo 8, 35131 Padua, Italy Griguer, H. GRID:grid.501615.6 ROR:https://ror.org/01ejxf797 Oujda U. Unlisted, MA Mohammed VI Polytechnic University, Ben Guerir Mohammed VI Polytechnic University, Ben Guerir, Morocco Guigue, M. ORCID:0000-0002-3809-8221 GRID:grid.462844.8 Paris U., VI-VII LaboratoiredePhysiqueNucléaireetdeHautesEnergies(LPNHE),CNRS/IN2P3,SorbonneUniversité,Paris,France Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), CNRS/IN2P3, Sorbonne Université, Paris, France Hadley, D. GRID:grid.7372.1 ROR:https://ror.org/01a77tt86 Warwick U. University of Warwick, Physics, Gibbet Hill Road, Coventry, CV312NY, United Kingdom University of Warwick, Physics, Gibbet Hill Road, CV312NY Coventry, UK Hambardzumyan, A. ORCID:0009-0009-5272-1153 GRID:grid.511231.5 ITPM, Yerevan Institute for Theoretical Physics and Modeling, Halabyan Street, 34/1, Yerevan, 0036, Armenia Institute for Theoretical Physics and Modeling, Halabyan Street, 34/1, 0036 Yerevan, Armenia Harada, M. ORCID:0000-0003-3273-946X GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Harris, R.J. ORCID:0009-0005-1576-4905 GRID:grid.9835.7 GRID:grid.76978.37 ROR:https://ror.org/04f2nsd36 ROR:https://ror.org/03gq8fr08 Lancaster U. Rutherford PhysicsDepartment,LancasterUniversity,Lancaster,LA14YB,United Kingdom STFC Rutherford Appleton Laboratory, RAL PPD and TD, Harwell Science Campus, Didcot, OX11 0QX, United Kingdom Physics Department, Lancaster University, LA1 4YB Lancaster, UK STFC Rutherford Appleton Laboratory, RAL PPD and TD, Harwell Science Campus, OX11 0QX Didcot, UK Hartz, M. ORCID:0000-0002-6081-8686 GRID:grid.232474.4 ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, V6T 2A3, Canada TRIUMF, 4004 Wesbrook Mall, V6T 2A3 Vancouver, Canada Harvey-Fishenden, E. ORCID:0009-0005-5928-4356 GRID:grid.76978.37 ROR:https://ror.org/03gq8fr08 Rutherford STFC Rutherford Appleton Laboratory, RAL PPD and TD, Harwell Science Campus, Didcot, OX11 0QX, United Kingdom STFC Rutherford Appleton Laboratory, RAL PPD and TD, Harwell Science Campus, OX11 0QX Didcot, UK Hassani, S. ORCID:0000-0002-2834-5110 GRID:grid.460789.4 ROR:https://ror.org/05k705z76 ROR:https://ror.org/058rvd314 IRFU, Saclay IPhT, Saclay IRFU,CEA,UniversitéParis-Saclay,Gif-sur-Yvette,France Université Paris-Saclay, Gif-sur-Yvette, France Hastings, N.C. ORCID:0009-0009-4632-6042 GRID:grid.410794.f GRID:grid.472503.7 ROR:https://ror.org/01g5y5k24 ROR:https://ror.org/05nf86y53 KEK, Tsukuba JAEA, Ibaraki HighEnergyAcceleratorResearchOrganization(KEK),1-1Oho,Tsukuba,Ibaraki,305-0801,Japan also at J-PARC, Ibaraki, Japan High Energy Accelerator Research Organization (KEK), 1-1 Oho, 305-0801 Tsukuba, Ibaraki, Japan J-PARC, Naka, Ibaraki, Japan Hayashida, S. GRID:grid.13097.3c ROR:https://ror.org/05tkyf982 ROR:https://ror.org/0220mzb33 Ben Gurion U. of Negev King's Coll. London King’sCollegeLondon,DepartmentofPhysics,King’sCollegeLondon,DepartmentofPhysics,Strand,London,WC2R2LS,UnitedKingdom Department of Physics, King’s College London, Strand, WC2R 2LS London, UK Hayato, Y. ORCID:0000-0002-8683-5038 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Hayrapetyan, K. ORCID:0009-0007-4514-7419 GRID:grid.13097.3c ROR:https://ror.org/05tkyf982 ROR:https://ror.org/0220mzb33 Ben Gurion U. of Negev King's Coll. London King’sCollegeLondon,DepartmentofPhysics,King’sCollegeLondon,DepartmentofPhysics,Strand,London,WC2R2LS,UnitedKingdom Department of Physics, King’s College London, Strand, WC2R 2LS London, UK Heitkamp, I. ORCID:0009-0003-1445-541X GRID:grid.69566.3a Tohoku U., Astron. Inst. TohokuUniversity,FacultyofScience,Aoba,Aramaki,Aoba-ku,Sendai,980-8578,Japan Faculty of Science, Tohoku University, Aoba, Aramaki, Aoba-ku, 980-8578 Sendai, Japan Hernandez-Molinero, B. ORCID:0000-0003-4880-0317 GRID:grid.499304.3 ROR:https://ror.org/02zcam055 LSC, Canfranc Canfranc Underground Laboratory (LSC), Paseo de los Ayerbe s/n, Canfranc, ES-22888, Spain Canfranc Underground Laboratory (LSC), Paseo de los Ayerbe s/n, 22888 Canfranc, Spain Hernando Morata, J.A. ORCID:0000-0002-8683-5142 GRID:grid.11794.3a ROR:https://ror.org/030eybx10 Santiago de Compostela U., IGFAE Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Rúa de Xoaquín Díaz de Rábago, s/n, 15705 Santiago de Compostela, Spain Herrero Bosch, V. ORCID:0000-0003-0860-2789 GRID:grid.157927.f ROR:https://ror.org/01460j859 Valencia, Polytechnic U. Universitat Politècnica de València (UPV), ETSIT, Camino de Vera, s/n., 46022 Valencia, Spain Hino, Y. ORCID:0000-0002-7480-463X GRID:grid.410794.f GRID:grid.472503.7 ROR:https://ror.org/01g5y5k24 ROR:https://ror.org/05nf86y53 KEK, Tsukuba JAEA, Ibaraki High Energy Accelerator Research Organization (KEK), 1-1 Oho, 305-0801 Tsukuba, Ibaraki, Japan J-PARC, Naka, Ibaraki, Japan Hiraide, K. ORCID:0000-0003-1229-9452 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Holeczek, J. ORCID:0000-0001-6653-0619 GRID:grid.11866.38 ROR:https://ror.org/0104rcc94 Silesia U. University of Silesia in Katowice, Poland, A. Chełkowski Institute of Physics, Faculty of Science and Technology, ul. Bankowa 12, Katowice, 40-007, Poland A. Chełkowski Institute of Physics, Faculty of Science and Technology, University of Silesia in Katowice, ul. Bankowa 12, 40-007 Katowice, Poland Holin, A. ORCID:0000-0002-7758-8047 GRID:grid.76978.37 ROR:https://ror.org/03gq8fr08 Rutherford STFC Rutherford Appleton Laboratory, RAL PPD and TD, Harwell Science Campus, Didcot, OX11 0QX, United Kingdom STFC Rutherford Appleton Laboratory, RAL PPD and TD, Harwell Science Campus, OX11 0QX Didcot, UK Horiuchi, S. ORCID:0009-0005-9007-0700 GRID:grid.26091.3c ROR:https://ror.org/02kn6nx58 Keio U. Keio University, Faculty of Science and Technology, Hiyoshi 3-14-1, Yokohama, 223-8522, Japan Faculty of Science and Technology, Keio University, Hiyoshi 3-14-1, 223-8522 Yokohama, Japan Hoshina, K. GRID:grid.26999.3d GRID:grid.14003.36 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/01y2jtd41 ROR:https://ror.org/01y2jtd41 U. Tokyo (main) Wisconsin U., Madison ERI, Tokyo U. Wisconsin, Madison (main) TheUniversityofTokyo,EarthquakeResearchInstitute,1-1-1Yayoi,Bunkyo-ku,Tokyo,113-0032,Japan University of Wisconsin-Madison Earthquake Research Institute, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, 113-0032 Tokyo, Japan University of Wisconsin-Madison, Madison, USA Hosokawa, K. ORCID:0000-0002-8766-3629 GRID:grid.69566.3a ROR:https://ror.org/01dq60k83 ROR:https://ror.org/01dq60k83 Tohoku U. RCNS, Sendai Tohoku University, Research Center for Neutrino Science, 6-3, Aramaki Aza Aoba, Aobaku, Sendai, 980-8578, Japan Research Center for Neutrino Science, Tohoku University, 6-3, Aramaki Aza Aoba, Aobaku, 980-8578 Sendai, Japan Hoummada, A. GRID:grid.412148.a Hassan U., II, Ain Chock FacultyofSciencesAinChock,HassanIIUniversityofCasablanca,Physics,Km8Routed’ElJadida,B.P.5366Maarif,Casablanca,20100,Morocco Faculty of Sciences Ain Chock, Hassan II University of Casablanca, Physics, B.P. 5366, Km 8 Route d’El Jadida, Maarif, 20100 Casablanca, Morocco Hrub y, F. GRID:grid.10979.36 ROR:https://ror.org/04qxnmv42 Palacky U. Faculty of Science, Joint Laboratory of Optics, Palacký University Olomouc, 17. listopadu 50A, 772 07 Olomouc, Czech Republic Hua, H. ORCID:0009-0007-1449-2383 GRID:grid.1008.9 ROR:https://ror.org/01ej9dk98 Melbourne U. The University of Melbourne, School of Physics, The University of Melbourne, Melbourne, Victoria 3010, Australia School of Physics, The University of Melbourne, 3010 Melbourne, VIC, Australia Hultqvist, K. ORCID:0000-0003-0602-9472 GRID:grid.10548.38 ROR:https://ror.org/05f0yaq80 ROR:https://ror.org/05f0yaq80 Stockholm U. Stockholm U., OKC Oskar Klein Centre and Dept. of Physics, Stockholm University, Dept. Physics, Stockholm University, Stockholm, SE-10691, Sweden Oskar Klein Centre and Department of Physics, Stockholm University, 10691 Stockholm, Sweden Iacob, F. ORCID:0000-0003-3582-3819 GRID:grid.470212.2 GRID:grid.5608.b ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/00240q980 ROR:https://ror.org/00z34yn88 INFN, Bologna Padua U. INFN, Padua INFM, Padua INFN,SezionediPadova,viaMarzolo8,Padova,35131,Italy UniversitàdiPadova,DepartmentofPhysicsandAstronomy,viaMarzolo8,Padova,35131,Italy INFN, Sezione di Padova, via Marzolo 8, 35131 Padua, Italy Department of Physics and Astronomy, Università di Padova, via Marzolo 8, 35131 Padua, Italy Ichikawa, A.K. ORCID:0000-0002-1009-1490 GRID:grid.69566.3a Tohoku U., Astron. Inst. TohokuUniversity,FacultyofScience,Aoba,Aramaki,Aoba-ku,Sendai,980-8578,Japan Faculty of Science, Tohoku University, Aoba, Aramaki, Aoba-ku, 980-8578 Sendai, Japan Idrissi Ibnsalih, W. GRID:grid.470211.1 ROR:https://ror.org/015kcdd40 ROR:https://ror.org/05vf0dg29 INFN, Naples Rome III U. INFN Sezione di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy Università della Campania L. Vanvitelli, Naples, Italy Ieki, K. ORCID:0000-0002-7791-5044 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Ikeda, M. ORCID:0000-0002-4177-5828 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Inácio, A.S. ORCID:0000-0002-3684-5908 GRID:grid.4991.5 ROR:https://ror.org/052gg0110 ROR:https://ror.org/01qz5mb56 Oxford U. Oak Ridge UniversityofOxford,DepartmentofPhysics,ClarendonLaboratory,ParksRoad,Oxford,OX13PU,UnitedKingdom Department of Physics, Clarendon Laboratory, University of Oxford, Parks Road, OX1 3PU Oxford, UK Ioannisian, A. ORCID:0000-0003-0682-2454 GRID:grid.511231.5 ITPM, Yerevan Institute for Theoretical Physics and Modeling, Halabyan Street, 34/1, Yerevan, 0036, Armenia Institute for Theoretical Physics and Modeling, Halabyan Street, 34/1, 0036 Yerevan, Armenia Ishida, T. ORCID:0000-0002-2177-6196 GRID:grid.410794.f GRID:grid.472503.7 ROR:https://ror.org/01g5y5k24 ROR:https://ror.org/05nf86y53 KEK, Tsukuba JAEA, Ibaraki HighEnergyAcceleratorResearchOrganization(KEK),1-1Oho,Tsukuba,Ibaraki,305-0801,Japan also at J-PARC, Ibaraki, Japan High Energy Accelerator Research Organization (KEK), 1-1 Oho, 305-0801 Tsukuba, Ibaraki, Japan J-PARC, Naka, Ibaraki, Japan Ishidoshiro, K. ORCID:0000-0001-9271-2301 GRID:grid.69566.3a ROR:https://ror.org/01dq60k83 ROR:https://ror.org/01dq60k83 Tohoku U. RCNS, Sendai Tohoku University, Research Center for Neutrino Science, 6-3, Aramaki Aza Aoba, Aobaku, Sendai, 980-8578, Japan Research Center for Neutrino Science, Tohoku University, 6-3, Aramaki Aza Aoba, Aobaku, 980-8578 Sendai, Japan Ishino, H. ORCID:0000-0002-8623-4080 GRID:grid.261356.5 ROR:https://ror.org/02pc6pc55 Okayama U. Okayama university, Department of Physics, 3-1-1 Tsushima-naka, Kita-ku, Okayama, 700-8530, Japan Department of Physics, Okayama university, 3-1-1 Tsushima-naka, Kita-ku, 700-8530 Okayama, Japan Ishitsuka, M. ORCID:0000-0003-2353-3857 GRID:grid.143643.7 Tokyo U. of Sci. Tokyo University of Science, Physics and Astronomy, 2641 Yamazaki, Noda, Chiba, Chiba, 278-8510, Japan Tokyo University of Science, Physics and Astronomy, 2641 Yamazaki, 278-8510 Noda, Chiba, Japan Israel, H. GRID:grid.11835.3e ROR:https://ror.org/05krs5044 ROR:https://ror.org/05krs5044 Sheffield U. U. Sheffield (main) UniversityofSheffield,DepartmentofMathematicalandPhysicalSciences,WesternBank,Sheffield,S102TN,United Kingdom Department of Mathematical and Physical Sciences, Western Bank, University of Sheffield, S10 2TN Sheffield, UK Ito, H. ORCID:0000-0003-1029-5730 GRID:grid.31432.37 ROR:https://ror.org/03tgsfw79 Kobe U. Kobe University, Department of Physics, Graduate School of Science, 1-1 Rokkodai, Nada, Kobe, Hyogo, 657-8501, Japan Department of Physics, Graduate School of Science, Kobe University, 1-1 Rokkodai, Nada, 657-8501 Kobe, Hyogo, Japan Itow, Y. ORCID:0000-0002-8198-1968 GRID:grid.26999.3d GRID:grid.27476.30 ROR:https://ror.org/04chrp450 ROR:https://ror.org/008td3p62 ROR:https://ror.org/04chrp450 Nagoya U., ISEE Tokyo U., ICRR KMI, Nagoya Institute for Space-Earth Environmental Research, Nagoya University, Furocho, Chikusa-ku, Nagoya, Aichi, 464-8602, Japan also at Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, Japan Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, 5-1-5 Kashiwa-no-ha, 277-8582 Kashiwa, Chiba, Japan Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, Nagoya, Japan Izmaylov, A. ORCID:0000-0002-8446-2362 Izumiyama, S. ROR:https://ror.org/05dqf9946 ISCT, Tokyo Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, Tokyo, Tokyo 152-8551, Japan Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, 152-8551 Tokyo, Japan Jamieson, B. ORCID:0000-0003-3589-9127 GRID:grid.267457.5 ROR:https://ror.org/02gdzyx04 Winnipeg U. UniversityofWinnipeg,515PortageAve,Winnipeg,Manitoba,R3B2E9,Canada University of Winnipeg, 515 Portage Ave, R3B 2E9 Winnipeg, MB, Canada Jang, J. GRID:grid.61221.36 ROR:https://ror.org/024kbgz78 GIST, Gwangju Gwangju Institute of Science and Technology, Physics and Photon Science, 123 Cheomdangwagi-ro, Buk-gu, Gwangju, 61005, Republic of Korea Gwangju Institute of Science and Technology, Physics and Photon Science, 123 Cheomdangwagi-ro, Buk-gu, 61005 Gwangju, Republic of Korea Jenkins, S. ORCID:0000-0002-0982-8141 GRID:grid.10025.36 ROR:https://ror.org/04xs57h96 ROR:https://ror.org/04xs57h96 Liverpool U. U. Liverpool (main) University of Liverpool, Department of Physics, University of Liverpool, Liverpool, L69 7ZX, United Kingdom Department of Physics, University of Liverpool, L69 7ZX Liverpool, UK Jesús-Valls, C. ORCID:0000-0002-0154-2456 GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 U. Tokyo (main) Tokyo U., IPMU Kavli IPMU/UTokyo, Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan Kavli IPMU/UTokyo, Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, 277-8583 Kashiwa, Chiba, Japan Jo, H.S. ORCID:0009-0005-5672-6948 GRID:grid.258803.4 ROR:https://ror.org/040c17130 Kyungpook Natl. U. Kyungpook National University, Department of Physics, 80 Daehak-ro, Buk-gu, Daegu, 41566, Republic of Korea Department of Physics, Kyungpook National University, 80 Daehak-ro, Buk-gu, 41566 Daegu, Republic of Korea Jones, T.P. ORCID:0000-0001-5706-7255 GRID:grid.9835.7 ROR:https://ror.org/04f2nsd36 Lancaster U. PhysicsDepartment,LancasterUniversity,Lancaster,LA14YB,United Kingdom Physics Department, Lancaster University, LA1 4YB Lancaster, UK Jonsson, P. ORCID:0000-0001-6900-4235 GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London ImperialCollegeLondon,DepartmentofPhysics,BlackettLaboratory,SouthKensingtonCampus,London,SW72AZ,United Kingdom Department of Physics, Blackett Laboratory, South Kensington Campus, Imperial College London, SW7 2AZ London, UK Joo, K.K. ORCID:0000-0002-5515-0087 GRID:grid.14005.30 ROR:https://ror.org/05kzjxq56 Chonnam Natl. U. Chonnam National Univ., 77, Yongbong-ro, Buk-gu, Gwangju, 61186, Republic of Korea Chonnam National University, 77, Yongbong-ro, Buk-gu, 61186 Gwangju, Republic of Korea Joshi, S. ORCID:0009-0009-0713-7361 GRID:grid.460789.4 ROR:https://ror.org/05k705z76 ROR:https://ror.org/058rvd314 IRFU, Saclay IPhT, Saclay IRFU,CEA,UniversitéParis-Saclay,Gif-sur-Yvette,France Université Paris-Saclay, Gif-sur-Yvette, France Kajita, T. ORCID:0000-0003-1207-6638 GRID:grid.26999.3d ROR:https://ror.org/008td3p62 Tokyo U., ICRR University of Tokyo, Institute for Cosmic Ray Research Institute for Cosmic Ray Research, University of Tokyo, Tokyo, Japan Kakuno, H. ORCID:0000-0002-9957-6055 GRID:grid.265074.2 ROR:https://ror.org/00ws30h19 Tokyo Metropolitan U. Tokyo Metropolitan University, 1-1 Minamioosawa, Hachioji, Tokyo, 192-0397, Japan Tokyo Metropolitan University, 1-1 Minamioosawa, Hachioji, 192-0397 Tokyo, Japan Kalousis, L. GRID:grid.6083.d ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. NCSR Demokritos, Institute of Nuclear and Particle Physics, Neapoleos Str. 27 & Patr. Grigoriou E, Agia Paraskevi Attikis, 15341, Greece Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos Str. 27 and Patr. Grigoriou E, 15341 Agia Paraskevi, Attiki, Greece Kameda, J. ORCID:0000-0002-0877-3767 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Kano, Y. ORCID:0000-0002-3809-698X GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 U. Tokyo (main) ERI, Tokyo TheUniversityofTokyo,EarthquakeResearchInstitute,1-1-1Yayoi,Bunkyo-ku,Tokyo,113-0032,Japan Earthquake Research Institute, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, 113-0032 Tokyo, Japan Karlen, D. ORCID:0000-0002-4902-1756 GRID:grid.232474.4 GRID:grid.143640.4 ROR:https://ror.org/03kgj4539 ROR:https://ror.org/04s5mat29 TRIUMF Victoria U. TRIUMF, 4004 Wesbrook Mall, Vancouver, V6T 2A3, Canada University of Victoria, Department of Physics and Astronomy, 3800 Finnerty Road, Victoria, V8P 5C2, Canada TRIUMF, 4004 Wesbrook Mall, V6T 2A3 Vancouver, Canada Department of Physics and Astronomy, University of Victoria, 3800 Finnerty Road, V8P 5C2 Victoria, Canada Kataoka, Y. ORCID:0000-0001-9090-4801 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Kato, A. ORCID:0000-0002-2645-3441 GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 U. Tokyo (main) ERI, Tokyo TheUniversityofTokyo,EarthquakeResearchInstitute,1-1-1Yayoi,Bunkyo-ku,Tokyo,113-0032,Japan Earthquake Research Institute, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, 113-0032 Tokyo, Japan Katori, T. ORCID:0000-0002-9429-9482 GRID:grid.13097.3c ROR:https://ror.org/05tkyf982 ROR:https://ror.org/0220mzb33 Ben Gurion U. of Negev King's Coll. London King’sCollegeLondon,DepartmentofPhysics,King’sCollegeLondon,DepartmentofPhysics,Strand,London,WC2R2LS,UnitedKingdom Department of Physics, King’s College London, Strand, WC2R 2LS London, UK Kazarian, N. ORCID:0000-0001-6814-1617 GRID:grid.511231.5 ITPM, Yerevan Institute for Theoretical Physics and Modeling, Halabyan Street, 34/1, Yerevan, 0036, Armenia Institute for Theoretical Physics and Modeling, Halabyan Street, 34/1, 0036 Yerevan, Armenia Khabibullin, M. ORCID:0000-0001-5428-0464 Khotjantsev, A. ORCID:0000-0003-4234-2079 Kikawa, T. ORCID:0000-0003-3326-1584 GRID:grid.258799.8 ROR:https://ror.org/02kpeqv85 Kyoto U. KyotoUniversity,DepartmentofPhysics,KyotoUniversity,Kyoto,Kyoto606-8502,Japan Department of Physics, Kyoto University, 606-8502 Kyoto, Japan Kim, J.Y. GRID:grid.14005.30 ROR:https://ror.org/05kzjxq56 Chonnam Natl. U. Chonnam National Univ., 77, Yongbong-ro, Buk-gu, Gwangju, 61186, Republic of Korea Chonnam National University, 77, Yongbong-ro, Buk-gu, 61186 Gwangju, Republic of Korea King, S. ORCID:0000-0003-4066-0639 GRID:grid.13097.3c ROR:https://ror.org/05tkyf982 ROR:https://ror.org/0220mzb33 Ben Gurion U. of Negev King's Coll. London King’sCollegeLondon,DepartmentofPhysics,King’sCollegeLondon,DepartmentofPhysics,Strand,London,WC2R2LS,UnitedKingdom Department of Physics, King’s College London, Strand, WC2R 2LS London, UK Kisiel, J. ORCID:0000-0001-6092-3307 GRID:grid.11866.38 ROR:https://ror.org/0104rcc94 Silesia U. University of Silesia in Katowice, Poland, A. Chełkowski Institute of Physics, Faculty of Science and Technology, ul. Bankowa 12, Katowice, 40-007, Poland A. Chełkowski Institute of Physics, Faculty of Science and Technology, University of Silesia in Katowice, ul. Bankowa 12, 40-007 Katowice, Poland Klimaszewski, J. ORCID:0000-0002-8342-4890 GRID:grid.450295.f ROR:https://ror.org/00nzsxq20 NCBJ, Swierk National Centre for Nuclear Research, ul. Soltana 7, Otwock, 05-400, Poland National Centre for Nuclear Research, ul. Soltana 7, 05-400 Otwock, Poland Kneale, L. ORCID:0000-0002-4087-1244 GRID:grid.11835.3e ROR:https://ror.org/05krs5044 ROR:https://ror.org/05krs5044 Sheffield U. U. Sheffield (main) UniversityofSheffield,DepartmentofMathematicalandPhysicalSciences,WesternBank,Sheffield,S102TN,United Kingdom Department of Mathematical and Physical Sciences, Western Bank, University of Sheffield, S10 2TN Sheffield, UK Kobayashi, M. ORCID:0009-0000-0352-4924 GRID:grid.26091.3c ROR:https://ror.org/02kn6nx58 Keio U. Keio University, Faculty of Science and Technology, Hiyoshi 3-14-1, Yokohama, 223-8522, Japan Faculty of Science and Technology, Keio University, Hiyoshi 3-14-1, 223-8522 Yokohama, Japan Kobayashi, T. ORCID:0000-0003-1577-4001 GRID:grid.410794.f GRID:grid.472503.7 GRID:grid.275033.0 ROR:https://ror.org/01g5y5k24 ROR:https://ror.org/05nf86y53 ROR:https://ror.org/0516ah480 KEK, Tsukuba JAEA, Ibaraki Sokendai, Tsukuba HighEnergyAcceleratorResearchOrganization(KEK),1-1Oho,Tsukuba,Ibaraki,305-0801,Japan also at J-PARC, Ibaraki, Japan also at SOKENDAI, Tsukuba, Japan High Energy Accelerator Research Organization (KEK), 1-1 Oho, 305-0801 Tsukuba, Ibaraki, Japan J-PARC, Naka, Ibaraki, Japan SOKENDAI, Tsukuba, Japan Kodama, S. GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 Tokyo U. UniversityofTokyo,DepartmentofPhysics,7-3-1Hongo,Bunkyo-ku,Tokyo,113-0033,Japan Department of Physics, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-0033 Tokyo, Japan Koerich, L. ORCID:0000-0002-8262-1120 GRID:grid.57926.3f ROR:https://ror.org/03dzc0485 Regina U. UniversityofRegina,DepartmentofPhysics,3737WascanaParkway,Regina,S4S0A2,Canada Department of Physics, University of Regina, 3737 Wascana Parkway, S4S0A2 Regina, Canada Kolev, N. ORCID:0000-0003-1814-2157 GRID:grid.57926.3f ROR:https://ror.org/03dzc0485 Regina U. UniversityofRegina,DepartmentofPhysics,3737WascanaParkway,Regina,S4S0A2,Canada Department of Physics, University of Regina, 3737 Wascana Parkway, S4S0A2 Regina, Canada Komaba, H. GRID:grid.69566.3a Tohoku U., Astron. Inst. TohokuUniversity,FacultyofScience,Aoba,Aramaki,Aoba-ku,Sendai,980-8578,Japan Faculty of Science, Tohoku University, Aoba, Aramaki, Aoba-ku, 980-8578 Sendai, Japan Konaka, A. ORCID:0000-0002-0034-9195 GRID:grid.232474.4 ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, V6T 2A3, Canada TRIUMF, 4004 Wesbrook Mall, V6T 2A3 Vancouver, Canada Kormos, L. ORCID:0000-0002-0955-1672 GRID:grid.9835.7 ROR:https://ror.org/04f2nsd36 Lancaster U. PhysicsDepartment,LancasterUniversity,Lancaster,LA14YB,United Kingdom Physics Department, Lancaster University, LA1 4YB Lancaster, UK Kose, U. ORCID:0000-0001-5380-9354 GRID:grid.5801.c ROR:https://ror.org/05a28rw58 Zurich, ETH ETHZurich,InstituteforParticlePhysicsandAstrophysics,Otto-Stern-Weg5,Zurich,CH-8093,Switzerland Institute for Particle Physics and Astrophysics, ETH Zurich, Otto-Stern-Weg 5, 8093 Zurich, Switzerland Koshio, Y. ORCID:0000-0003-0437-8505 GRID:grid.261356.5 ROR:https://ror.org/02pc6pc55 Okayama U. Okayama university, Department of Physics, 3-1-1 Tsushima-naka, Kita-ku, Okayama, 700-8530, Japan Department of Physics, Okayama university, 3-1-1 Tsushima-naka, Kita-ku, 700-8530 Okayama, Japan Kosinski, T. ORCID:0000-0003-2052-4269 GRID:grid.450295.f ROR:https://ror.org/00nzsxq20 NCBJ, Swierk National Centre for Nuclear Research, ul. Soltana 7, Otwock, 05-400, Poland National Centre for Nuclear Research, ul. Soltana 7, 05-400 Otwock, Poland Kouzakov, K. ORCID:0000-0002-4835-2270 Kowalik, K. ORCID:0000-0003-3486-714X GRID:grid.450295.f ROR:https://ror.org/00nzsxq20 NCBJ, Swierk National Centre for Nuclear Research, ul. Soltana 7, Otwock, 05-400, Poland National Centre for Nuclear Research, ul. Soltana 7, 05-400 Otwock, Poland Kralik, R. ORCID:0000-0001-7557-5085 GRID:grid.13097.3c ROR:https://ror.org/0220mzb33 King's Coll. London Department of Physics, King’s College London, Strand, WC2R 2LS London, UK Kravchuk, L. GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Kryukov, A. ORCID:0000-0002-1624-6131 Kudenko, Y. ORCID:0000-0003-3204-9426 Kulkarni, A. ORCID:0000-0002-6452-6349 GRID:grid.32056.32 ROR:https://ror.org/028qa3n13 IISER, Pune Vishwakarma Institute of Information Technology, S. No. 3/4, Kondhwa (Bk), 411048 Pune, India Kumita, T. ORCID:0000-0001-7572-4538 GRID:grid.265074.2 ROR:https://ror.org/00ws30h19 Tokyo Metropolitan U. Tokyo Metropolitan University, 1-1 Minamioosawa, Hachioji, Tokyo, 192-0397, Japan Tokyo Metropolitan University, 1-1 Minamioosawa, Hachioji, 192-0397 Tokyo, Japan Kurjata, R. ORCID:0000-0001-8547-910X GRID:grid.1035.7 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Institute of Radioelectronics and Multimedia Technology, Nowowiejska 15/19, Warsaw, 00-665, Poland Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland Kutter, T. ORCID:0000-0002-1395-4669 GRID:grid.64337.35 ROR:https://ror.org/05ect4e57 Louisiana State U. Louisiana State University, Physics & Astronomy, 202 Nicholson Hall, Baton Rouge, LA, 70803, United States of America Physics and Astronomy, Louisiana State University, 202 Nicholson Hall, 70803 Baton Rouge, LA, USA Kuze, M. ORCID:0000-0001-8858-8440 ROR:https://ror.org/05dqf9946 ISCT, Tokyo Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, Tokyo, Tokyo 152-8551, Japan Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, 152-8551 Tokyo, Japan Kvita, J. ORCID:0000-0001-5973-8729 GRID:grid.10979.36 ROR:https://ror.org/02yhj4v17 ROR:https://ror.org/04qxnmv42 Joint Lab. Optics, Olomouc Prague, Inst. Phys. Palacky U. Palacký University Olomouc, Faculty of Science, Joint Laboratory of Optics, 17. listopadu 50A, 772 07 Olomouc, Czech Republic Faculty of Science, Joint Laboratory of Optics, Palacký University Olomouc, 17. listopadu 50A, 772 07 Olomouc, Czech Republic Kwak, K. ORCID:0000-0002-2304-7798 GRID:grid.42687.3f ROR:https://ror.org/017cjz748 UNIST, Ulsan Ulsan National Institute of Science and Technology (UNIST), Physics, 50 UNIST-gil, Ulju-gun, , Ulsan, 44919, Republic of Korea Physics, Ulsan National Institute of Science and Technology (UNIST), 50 UNIST-gil, Ulju-gun, 44919 Ulsan, Republic of Korea Kwon, E. GRID:grid.264381.a ROR:https://ror.org/04q78tk20 Sungkyunkwan U. Department of Physics, Sungkyunkwan University, Jangan-gu, Seobu-ro 2066, 16419 Suwon, Republic of Korea Labarga, L. ORCID:0000-0002-6395-9142 GRID:grid.5515.4 ROR:https://ror.org/01cby8j38 Madrid, Autonoma U. University Autonoma Madrid (UAM), Dept. Theoretical Physics & CIAFF, Ciudad Universitaria de Cantoblanco, Madrid, ES-28049, Spain Department of Theoretical Physics and CIAFF, Ciudad Universitaria de Cantoblanco, University Autonoma Madrid (UAM), 28049 Madrid, Spain Lachner, K. ORCID:0000-0002-7615-4052 GRID:grid.5801.c ROR:https://ror.org/05a28rw58 Zurich, ETH ETHZurich,InstituteforParticlePhysicsandAstrophysics,Otto-Stern-Weg5,Zurich,CH-8093,Switzerland Institute for Particle Physics and Astrophysics, ETH Zurich, Otto-Stern-Weg 5, 8093 Zurich, Switzerland Lagoda, J. ORCID:0000-0001-8828-6100 GRID:grid.450295.f ROR:https://ror.org/00nzsxq20 NCBJ, Swierk National Centre for Nuclear Research, ul. Soltana 7, Otwock, 05-400, Poland National Centre for Nuclear Research, ul. Soltana 7, 05-400 Otwock, Poland Lamanna, G. ORCID:0000-0001-7452-8498 GRID:grid.470216.6 GRID:grid.5395.a ROR:https://ror.org/05symbg58 INFN, Pisa INFN Sezione di Pisa, Largo B. Pontecorvo 3, Pisa, 56127, Italy Università di Pisa, Dipartimento di Fisica, Largo B. Pontecorvo 3, Pisa, 56127, Italy INFN Sezione di Pisa, Largo B. Pontecorvo 3, 56127 Pisa, Italy Dipartimento di Fisica, Università di Pisa, Largo B. Pontecorvo 3, 56127 Pisa, Italy Lamers James, M. ORCID:0009-0001-4138-6654 GRID:grid.7372.1 ROR:https://ror.org/01a77tt86 Warwick U. University of Warwick, Physics, Gibbet Hill Road, CV312NY Coventry, UK Langella, A. ORCID:0000-0001-6273-3558 GRID:grid.470211.1 GRID:grid.4691.a ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. INFNSezionediNapoli,ViaVicinaleCupaCintia,26,Napoli,80126,Italy Università Federico II di Napoli , Via Vicinale Cupa Cintia, 26, Napoli, 80126, Italy INFN Sezione di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy Università Federico II di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy Laporte, J. ORCID:0000-0002-4815-5314 GRID:grid.460789.4 ROR:https://ror.org/05k705z76 ROR:https://ror.org/058rvd314 IRFU, Saclay IPhT, Saclay IRFU,CEA,UniversitéParis-Saclay,Gif-sur-Yvette,France Université Paris-Saclay, Gif-sur-Yvette, France Latham, N. ORCID:0000-0003-1329-8013 GRID:grid.13097.3c ROR:https://ror.org/05tkyf982 ROR:https://ror.org/0220mzb33 Ben Gurion U. of Negev King's Coll. London King’sCollegeLondon,DepartmentofPhysics,King’sCollegeLondon,DepartmentofPhysics,Strand,London,WC2R2LS,UnitedKingdom Department of Physics, King’s College London, Strand, WC2R 2LS London, UK Laveder, M. ORCID:0000-0002-1022-031X GRID:grid.470212.2 GRID:grid.5608.b ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/00240q980 ROR:https://ror.org/00z34yn88 INFN, Bologna Padua U. INFN, Padua INFM, Padua INFN,SezionediPadova,viaMarzolo8,Padova,35131,Italy UniversitàdiPadova,DepartmentofPhysicsandAstronomy,viaMarzolo8,Padova,35131,Italy INFN, Sezione di Padova, via Marzolo 8, 35131 Padua, Italy Department of Physics and Astronomy, Università di Padova, via Marzolo 8, 35131 Padua, Italy Lavitola, L. ORCID:0000-0001-7080-2429 GRID:grid.470211.1 GRID:grid.4691.a ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. INFNSezionediNapoli,ViaVicinaleCupaCintia,26,Napoli,80126,Italy Università Federico II di Napoli , Via Vicinale Cupa Cintia, 26, Napoli, 80126, Italy INFN Sezione di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy Università Federico II di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy Lawe, M. ORCID:0000-0003-2219-5972 GRID:grid.9835.7 ROR:https://ror.org/04f2nsd36 Lancaster U. PhysicsDepartment,LancasterUniversity,Lancaster,LA14YB,United Kingdom Physics Department, Lancaster University, LA1 4YB Lancaster, UK Le Blévec, E. ORCID:0009-0000-3672-2476 GRID:grid.26999.3d GRID:grid.10877.39 ROR:https://ror.org/058t6p923 ROR:https://ror.org/008td3p62 ROR:https://ror.org/058t6p923 LLR, Palaiseau ILANCE, Tokyo Tokyo U., ICRR Ecole Polytechnique EcolePolytechnique,IN2P3-CNRS,LaboratoireLeprince-Ringuet,F-91120Palaiseau,France ILANCE, CNRS- University of Tokyo International Research Laboratory, Kashiwa, Chiba 277- 8582, Japan ILANCE, CNRS-University of Tokyo International Research Laboratory, 277-8582 Kashiwa, Chiba, Japan Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, 91120 Palaiseau, France Lee, J. ORCID:0009-0004-2327-9160 GRID:grid.258803.4 ROR:https://ror.org/040c17130 Kyungpook Natl. U. Kyungpook National University, Department of Physics, 80 Daehak-ro, Buk-gu, Daegu, 41566, Republic of Korea Department of Physics, Kyungpook National University, 80 Daehak-ro, Buk-gu, 41566 Daegu, Republic of Korea Leitner, R. ORCID:0000-0002-2994-2187 GRID:grid.4491.8 ROR:https://ror.org/024d6js02 Charles U. IPNP, FMF Charles University, Ke Karlovu 3, 121 16 Prague 2, Czech Republic Levorato, S. ORCID:0000-0001-8067-5355 GRID:grid.470212.2 ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/00z34yn88 INFN, Bologna INFN, Padua INFN,SezionediPadova,viaMarzolo8,Padova,35131,Italy INFN, Sezione di Padova, via Marzolo 8, 35131 Padua, Italy Lewis, S. ORCID:0009-0004-0493-3518 GRID:grid.13097.3c ROR:https://ror.org/05tkyf982 ROR:https://ror.org/0220mzb33 Ben Gurion U. of Negev King's Coll. London King’sCollegeLondon,DepartmentofPhysics,King’sCollegeLondon,DepartmentofPhysics,Strand,London,WC2R2LS,UnitedKingdom Department of Physics, King’s College London, Strand, WC2R 2LS London, UK Li, B. ORCID:0009-0009-0097-3367 GRID:grid.5801.c ROR:https://ror.org/05a28rw58 Zurich, ETH ETHZurich,InstituteforParticlePhysicsandAstrophysics,Otto-Stern-Weg5,Zurich,CH-8093,Switzerland Institute for Particle Physics and Astrophysics, ETH Zurich, Otto-Stern-Weg 5, 8093 Zurich, Switzerland Li, Q. GRID:grid.11835.3e ROR:https://ror.org/05krs5044 ROR:https://ror.org/05krs5044 Sheffield U. U. Sheffield (main) UniversityofSheffield,DepartmentofMathematicalandPhysicalSciences,WesternBank,Sheffield,S102TN,United Kingdom Department of Mathematical and Physical Sciences, Western Bank, University of Sheffield, S10 2TN Sheffield, UK Li, X. ORCID:0000-0002-4546-6985 GRID:grid.232474.4 ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, V6T 2A3, Canada TRIUMF, 4004 Wesbrook Mall, V6T 2A3 Vancouver, Canada Lim, I. GRID:grid.14005.30 ROR:https://ror.org/05kzjxq56 Chonnam Natl. U. Chonnam National Univ., 77, Yongbong-ro, Buk-gu, Gwangju, 61186, Republic of Korea Chonnam National University, 77, Yongbong-ro, Buk-gu, 61186 Gwangju, Republic of Korea Limbu, U. ORCID:0009-0005-1207-3690 GRID:grid.10025.36 ROR:https://ror.org/04xs57h96 ROR:https://ror.org/04xs57h96 Liverpool U. U. Liverpool (main) University of Liverpool, Department of Physics, University of Liverpool, Liverpool, L69 7ZX, United Kingdom Department of Physics, University of Liverpool, L69 7ZX Liverpool, UK Lindner, T. ORCID:0000-0002-6932-9942 GRID:grid.232474.4 ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, V6T 2A3, Canada TRIUMF, 4004 Wesbrook Mall, V6T 2A3 Vancouver, Canada Litchfield, R.P. ORCID:0000-0002-5914-4733 GRID:grid.8756.c ROR:https://ror.org/00vtgdb53 Glasgow U. School of Physics and Astronomy, University of Glasgow, Glasgow, G12 8QQ, United Kingdom School of Physics and Astronomy, University of Glasgow, G12 8QQ Glasgow, UK Liu, Y. ORCID:0009-0005-4377-3454 GRID:grid.26091.3c ROR:https://ror.org/02kn6nx58 Keio U. Keio University, Faculty of Science and Technology, Hiyoshi 3-14-1, Yokohama, 223-8522, Japan Faculty of Science and Technology, Keio University, Hiyoshi 3-14-1, 223-8522 Yokohama, Japan Long, K. GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London ImperialCollegeLondon,DepartmentofPhysics,BlackettLaboratory,SouthKensingtonCampus,London,SW72AZ,United Kingdom Department of Physics, Blackett Laboratory, South Kensington Campus, Imperial College London, SW7 2AZ London, UK Longhin, A. ORCID:0000-0001-9103-9936 GRID:grid.470212.2 GRID:grid.5608.b ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/00240q980 ROR:https://ror.org/00z34yn88 INFN, Bologna Padua U. INFN, Padua INFM, Padua INFN,SezionediPadova,viaMarzolo8,Padova,35131,Italy UniversitàdiPadova,DepartmentofPhysicsandAstronomy,viaMarzolo8,Padova,35131,Italy INFN, Sezione di Padova, via Marzolo 8, 35131 Padua, Italy Department of Physics and Astronomy, Università di Padova, via Marzolo 8, 35131 Padua, Italy López-Gejo, F. ORCID:0000-0003-2763-4719 GRID:grid.452382.a Donostia Intl. Phys. Ctr., San Sebastian Donostia International Physics Center, C/ Manuel Mendizabal 4, Spain, 20018 Donostia-San Sebastián, Spain Donostia International Physics Center, C/ Manuel Mendizabal 4, 20018 Donostia-San Sebastián, Spain Lopez Moreno, A. GRID:grid.13097.3c ROR:https://ror.org/05tkyf982 ROR:https://ror.org/0220mzb33 Ben Gurion U. of Negev King's Coll. London King’sCollegeLondon,DepartmentofPhysics,King’sCollegeLondon,DepartmentofPhysics,Strand,London,WC2R2LS,UnitedKingdom Department of Physics, King’s College London, Strand, WC2R 2LS London, UK Lorens, P. ORCID:0009-0000-1516-5367 GRID:grid.1035.7 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Institute of Radioelectronics and Multimedia Technology, Nowowiejska 15/19, Warsaw, 00-665, Poland Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland Lu, P. GRID:grid.232474.4 ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, V6T 2A3, Canada TRIUMF, 4004 Wesbrook Mall, V6T 2A3 Vancouver, Canada Lu, X. GRID:grid.4991.5 ROR:https://ror.org/052gg0110 ROR:https://ror.org/01qz5mb56 Oxford U. Oak Ridge UniversityofOxford,DepartmentofPhysics,ClarendonLaboratory,ParksRoad,Oxford,OX13PU,UnitedKingdom Department of Physics, Clarendon Laboratory, University of Oxford, Parks Road, OX1 3PU Oxford, UK Ludovici, L. ORCID:0000-0003-1970-9960 GRID:grid.470218.8 ROR:https://ror.org/02be6w209 Rome U. INFM, Rome INFNSezionediRoma,P.leA.Moro2,Roma,00185,Italy INFN Sezione di Roma, P.le A.Moro 2, 00185 Rome, Italy Lux, T. ORCID:0000-0002-7807-0856 GRID:grid.435462.2 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology (BIST), Campus UAB, E-08193 Bellaterra (Barcelona), Spain Institut de Física d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology (BIST), Campus UAB, 08193 Bellaterra, Barcelona, Spain Maekawa, Y. ORCID:0000-0001-9783-7656 GRID:grid.26091.3c ROR:https://ror.org/02kn6nx58 Keio U. Keio University, Faculty of Science and Technology, Hiyoshi 3-14-1, Yokohama, 223-8522, Japan Faculty of Science and Technology, Keio University, Hiyoshi 3-14-1, 223-8522 Yokohama, Japan Magaletti, L. ORCID:0000-0003-1648-8998 GRID:grid.470190.b GRID:grid.4466.0 ROR:https://ror.org/022hq6c49 ROR:https://ror.org/027ynra39 INFN, Bari Bari U. INFNSezionediBari,viaOrabona4,Bari,70126,Italy PolitecnicodiBari,viaOrabona4,Bari,70126,Italy INFN Sezione di Bari, via Orabona 4, 70126 Bari, Italy Politecnico di Bari, via Orabona 4, 70126 Bari, Italy Mahesh, J. GRID:grid.410794.f GRID:grid.275033.0 ROR:https://ror.org/01g5y5k24 ROR:https://ror.org/0516ah480 KEK, Tsukuba Sokendai, Tsukuba HighEnergyAcceleratorResearchOrganization(KEK),1-1Oho,Tsukuba,Ibaraki,305-0801,Japan also at SOKENDAI, Tsukuba, Japan High Energy Accelerator Research Organization (KEK), 1-1 Oho, 305-0801 Tsukuba, Ibaraki, Japan SOKENDAI, Tsukuba, Japan Maimí, P. ORCID:0000-0002-7350-1506 GRID:grid.5319.e ROR:https://ror.org/01xdxns91 Girona U. University of Girona- AMADE, Mechanical Engineering, Carrer Universitat de Girona 4, Girona, E-17003, Spain Mechanical Engineering, University of Girona-AMADE, Carrer Universitat de Girona 4, 17003 Girona, Spain Makida, Y. GRID:grid.410794.f GRID:grid.472503.7 ROR:https://ror.org/01g5y5k24 ROR:https://ror.org/05nf86y53 KEK, Tsukuba JAEA, Ibaraki HighEnergyAcceleratorResearchOrganization(KEK),1-1Oho,Tsukuba,Ibaraki,305-0801,Japan also at J-PARC, Ibaraki, Japan High Energy Accelerator Research Organization (KEK), 1-1 Oho, 305-0801 Tsukuba, Ibaraki, Japan J-PARC, Naka, Ibaraki, Japan Malek, M. GRID:grid.11835.3e ROR:https://ror.org/05krs5044 ROR:https://ror.org/05krs5044 Sheffield U. U. Sheffield (main) UniversityofSheffield,DepartmentofMathematicalandPhysicalSciences,WesternBank,Sheffield,S102TN,United Kingdom Department of Mathematical and Physical Sciences, Western Bank, University of Sheffield, S10 2TN Sheffield, UK Malinský, M. ORCID:0000-0003-0415-662X GRID:grid.4491.8 ROR:https://ror.org/024d6js02 Charles U. IPNP, FMF Charles University, Ke Karlovu 3, 121 16 Prague 2, Czech Republic Mandal, M. ORCID:0000-0003-0471-1400 GRID:grid.450295.f ROR:https://ror.org/00nzsxq20 NCBJ, Swierk National Centre for Nuclear Research, ul. Soltana 7, Otwock, 05-400, Poland National Centre for Nuclear Research, ul. Soltana 7, 05-400 Otwock, Poland Mandokoro, Y. GRID:grid.143643.7 Tokyo U. of Sci. Tokyo University of Science, Physics and Astronomy, 2641 Yamazaki, Noda, Chiba, Chiba, 278-8510, Japan Tokyo University of Science, Physics and Astronomy, 2641 Yamazaki, 278-8510 Noda, Chiba, Japan Mansoor, M. GRID:grid.267457.5 ROR:https://ror.org/02gdzyx04 Winnipeg U. UniversityofWinnipeg,515PortageAve,Winnipeg,Manitoba,R3B2E9,Canada University of Winnipeg, 515 Portage Ave, R3B 2E9 Winnipeg, MB, Canada Marchi, T. ORCID:0000-0001-7339-8185 GRID:grid.466875.e ROR:https://ror.org/025e3ct30 INFN, Legnaro INFN Laboratori Nazionali di Legnaro INFN Laboratori Nazionali di Legnaro, Legnaro, Italy Mariani, C. ORCID:0000-0003-3284-4681 GRID:grid.438526.e ROR:https://ror.org/02smfhw86 ROR:https://ror.org/02smfhw86 Virginia Tech., Blacksburg Virginia Tech. Virginia Tech, Blacksburg, VA 24060, United States of America Virginia Tech, 24060 Blacksburg, VA, USA Marinelli, A. GRID:grid.470211.1 ROR:https://ror.org/015kcdd40 INFN, Naples INFNSezionediNapoli,ViaVicinaleCupaCintia,26,Napoli,80126,Italy INFN Sezione di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy Markou, C. ORCID:0000-0002-7329-6506 GRID:grid.6083.d ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. NCSR Demokritos, Institute of Nuclear and Particle Physics, Neapoleos Str. 27 & Patr. Grigoriou E, Agia Paraskevi Attikis, 15341, Greece Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos Str. 27 and Patr. Grigoriou E, 15341 Agia Paraskevi, Attiki, Greece Maroufkhani, F. GRID:grid.143640.4 ROR:https://ror.org/04s5mat29 Victoria U. Department of Physics and Astronomy, University of Victoria, 3800 Finnerty Road, V8P 5C2 Victoria, Canada Martens, K. ORCID:0000-0002-5049-3339 GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 U. Tokyo (main) Tokyo U., IPMU Kavli IPMU/UTokyo, Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan Kavli IPMU/UTokyo, Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, 277-8583 Kashiwa, Chiba, Japan Marti, L. ORCID:0000-0002-5172-9796 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Kamioka Observ. U. Tokyo (main) Tokyo U., IPMU Kavli IPMU/UTokyo, Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Kavli IPMU/UTokyo, Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, 277-8583 Kashiwa, Chiba, Japan Martin, J. GRID:grid.17063.33 ROR:https://ror.org/03dbr7087 Toronto U. University of Toronto, Physics, 60 St. George St., Toronto, ON M5S1A7, Canada Physics, University of Toronto, 60 St. George St., M5S1A7 Toronto, ON, Canada Martinez, L. ORCID:0000-0001-9634-4841 GRID:grid.435462.2 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology (BIST), Campus UAB, E-08193 Bellaterra (Barcelona), Spain Institut de Física d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology (BIST), Campus UAB, 08193 Bellaterra, Barcelona, Spain Martini, M. ORCID:0000-0003-4823-639X GRID:grid.462844.8 Paris U., VI-VII LaboratoiredePhysiqueNucléaireetdeHautesEnergies(LPNHE),CNRS/IN2P3,SorbonneUniversité,Paris,France Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), CNRS/IN2P3, Sorbonne Université, Paris, France Marzec, J. ORCID:0000-0001-7437-584X GRID:grid.1035.7 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Institute of Radioelectronics and Multimedia Technology, Nowowiejska 15/19, Warsaw, 00-665, Poland Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland Matsubara, T. ORCID:0000-0003-3187-6710 GRID:grid.410794.f GRID:grid.472503.7 ROR:https://ror.org/01g5y5k24 ROR:https://ror.org/05nf86y53 KEK, Tsukuba JAEA, Ibaraki HighEnergyAcceleratorResearchOrganization(KEK),1-1Oho,Tsukuba,Ibaraki,305-0801,Japan also at J-PARC, Ibaraki, Japan High Energy Accelerator Research Organization (KEK), 1-1 Oho, 305-0801 Tsukuba, Ibaraki, Japan J-PARC, Naka, Ibaraki, Japan Matsumoto, R. ORCID:0000-0002-4995-9242 ROR:https://ror.org/05dqf9946 ISCT, Tokyo Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, Tokyo, Tokyo 152-8551, Japan Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, 152-8551 Tokyo, Japan Matusiak, M. ORCID:0000-0002-8239-6971 GRID:grid.450295.f ROR:https://ror.org/00nzsxq20 NCBJ, Swierk National Centre for Nuclear Research, ul. Soltana 7, Otwock, 05-400, Poland National Centre for Nuclear Research, ul. Soltana 7, 05-400 Otwock, Poland Mazurek, K. ORCID:0000-0001-6141-0079 GRID:grid.450295.f ROR:https://ror.org/00nzsxq20 NCBJ, Swierk National Centre for Nuclear Research, ul. Soltana 7, 05-400 Otwock, Poland McCauley, N. ORCID:0000-0002-5982-5125 GRID:grid.10025.36 ROR:https://ror.org/04xs57h96 ROR:https://ror.org/04xs57h96 Liverpool U. U. Liverpool (main) University of Liverpool, Department of Physics, University of Liverpool, Liverpool, L69 7ZX, United Kingdom Department of Physics, University of Liverpool, L69 7ZX Liverpool, UK Medhi, A. ORCID:0000-0002-1518-4354 GRID:grid.45982.32 ROR:https://ror.org/005x56091 Tezpur U. Tezpur University, Physics, Napaam, Sonitpur, Assam, 784028, India Physics, Tezpur University, Napaam, 784028 Sonitpur, Assam, India Mefodiev, A. ORCID:0000-0003-1243-0115 Mehta, P. ORCID:0000-0001-5476-7854 GRID:grid.10025.36 ROR:https://ror.org/04xs57h96 ROR:https://ror.org/04xs57h96 Liverpool U. U. Liverpool (main) University of Liverpool, Department of Physics, University of Liverpool, Liverpool, L69 7ZX, United Kingdom Department of Physics, University of Liverpool, L69 7ZX Liverpool, UK Melbourne, W.J.D. GRID:grid.1008.9 ROR:https://ror.org/01ej9dk98 Melbourne U. The University of Melbourne, School of Physics, The University of Melbourne, Melbourne, Victoria 3010, Australia School of Physics, The University of Melbourne, 3010 Melbourne, VIC, Australia Mellet, L. ORCID:0000-0003-4182-7381 GRID:grid.462844.8 Paris U., VI-VII LaboratoiredePhysiqueNucléaireetdeHautesEnergies(LPNHE),CNRS/IN2P3,SorbonneUniversité,Paris,France Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), CNRS/IN2P3, Sorbonne Université, Paris, France Mendez-Esteban, D. ORCID:0000-0003-2015-6355 GRID:grid.499304.3 ROR:https://ror.org/02zcam055 LSC, Canfranc Canfranc Underground Laboratory (LSC), Paseo de los Ayerbe s/n, Canfranc, ES-22888, Spain Canfranc Underground Laboratory (LSC), Paseo de los Ayerbe s/n, 22888 Canfranc, Spain Menendez Maco, J. ORCID:0000-0003-4775-6166 GRID:grid.10863.3c ROR:https://ror.org/01ggx4157 ROR:https://ror.org/006gksa02 CERN U. Oviedo (main) MOMAGroup,UniversidaddeOviedo,C.SanFrancisco,3,33003Oviedo,Asturias,Oviedo,33007,Spain MOMA Group, Universidad de Oviedo, C. San Francisco, 3, 33003 Oviedo, Asturias, Spain Menjo, H. ORCID:0000-0001-8466-1938 GRID:grid.27476.30 ROR:https://ror.org/04chrp450 Nagoya U., ISEE Institute for Space-Earth Environmental Research, Nagoya University, Furocho, Chikusa-ku, Nagoya, Aichi, 464-8602, Japan Institute for Space-Earth Environmental Research, Nagoya University, Furocho, Chikusa-ku, 464-8602 Nagoya, Aichi, Japan Mese Zavala, G.D. GRID:grid.419886.a ITESM, Monterrey Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501 Sur Col: Tecnologico, 64700 Monterrey, NL, Mexico Mezzetto, M. ORCID:0000-0003-4284-3340 GRID:grid.470212.2 ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/00z34yn88 INFN, Bologna INFN, Padua INFN,SezionediPadova,viaMarzolo8,Padova,35131,Italy INFN, Sezione di Padova, via Marzolo 8, 35131 Padua, Italy Migenda, J. ORCID:0000-0002-5350-8049 GRID:grid.13097.3c ROR:https://ror.org/05tkyf982 ROR:https://ror.org/0220mzb33 Ben Gurion U. of Negev King's Coll. London King’sCollegeLondon,DepartmentofPhysics,King’sCollegeLondon,DepartmentofPhysics,Strand,London,WC2R2LS,UnitedKingdom Department of Physics, King’s College London, Strand, WC2R 2LS London, UK Migliozzi, P. ORCID:0000-0001-5497-3594 GRID:grid.470211.1 ROR:https://ror.org/015kcdd40 INFN, Naples INFNSezionediNapoli,ViaVicinaleCupaCintia,26,Napoli,80126,Italy INFN Sezione di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy Miki, S. ORCID:0009-0002-4111-5720 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Mikola, V. ORCID:0000-0002-1974-0012 GRID:grid.8756.c ROR:https://ror.org/00vtgdb53 Glasgow U. School of Physics and Astronomy, University of Glasgow, Glasgow, G12 8QQ, United Kingdom School of Physics and Astronomy, University of Glasgow, G12 8QQ Glasgow, UK Miller, E. ORCID:0000-0003-2785-7381 GRID:grid.7445.2 ROR:https://ror.org/01sdrjx85 ROR:https://ror.org/041kmwe10 Barcelona, IFAE Imperial Coll., London Institut de Física d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology (BIST), Campus UAB, E-08193 Bellaterra (Barcelona), Spain Department of Physics, Blackett Laboratory, South Kensington Campus, Imperial College London, SW7 2AZ London, UK Minamino, A. ORCID:0000-0001-6510-7106 GRID:grid.268446.a Yokohama Natl. U. Yokohama National University, Department of Physics, 79-5 Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa, 240-8501, Japan Department of Physics, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, 240-8501 Yokohama, Kanagawa, Japan Mine, S. ORCID:0009-0002-7564-5965 GRID:grid.26999.3d GRID:grid.266093.8 ROR:https://ror.org/04djymq25 ROR:https://ror.org/04gyf1771 Kamioka Observ. UC, Irvine KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan UniversityofCalifornia,Irvine,DepartmentofPhysicsandAstronomy,IrvineCalifornia,Irvine,92697-4575,UnitedStatesofAmerica Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Department of Physics and Astronomy, University of California, 92697-4575 Irvine, USA Mineev, O. ORCID:0000-0001-6550-4910 Miura, M. ORCID:0009-0005-6895-2870 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Moharana, R. ORCID:0009-0001-0547-4286 GRID:grid.462385.e ROR:https://ror.org/03yacj906 IIT, Jodhpur Indian Institute of Technology- Jodhpur, Indian Institute of Technology-Jodhpur, Jodhpur, India Cieslara, M. ORCID:0000-0003-2766-8003 GRID:grid.470211.1 ROR:https://ror.org/015kcdd40 Warsaw, Copernicus Astron. Ctr. INFN, Naples Nicolaus Copernicus Astronomical Centre of the Polish Academy of Sciences, Astrocent, Rektorska 4, Warsaw, 00-614, Poland INFN Sezione di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy Mondal, T. ORCID:0000-0002-9445-1405 GRID:grid.429017.9 ROR:https://ror.org/03w5sq511 Indian Inst. Tech., Kharagpur Indian Institute of Technology- Kharagpur, Department of Physics, Kharagpur, West Bengal, 721302, India Department of Physics, Indian Institute of Technology-Kharagpur, 721302 Kharagpur, West Bengal, India Monrabal, F. ORCID:0000-0002-4047-5620 GRID:grid.452382.a Donostia Intl. Phys. Ctr., San Sebastian Donostia International Physics Center, C/ Manuel Mendizabal 4, Spain, 20018 Donostia-San Sebastián, Spain Donostia International Physics Center, C/ Manuel Mendizabal 4, 20018 Donostia-San Sebastián, Spain Moon, C.S. ORCID:0000-0001-8229-7829 GRID:grid.258803.4 ROR:https://ror.org/040c17130 Kyungpook Natl. U. Kyungpook National University, Department of Physics, 80 Daehak-ro, Buk-gu, Daegu, 41566, Republic of Korea Department of Physics, Kyungpook National University, 80 Daehak-ro, Buk-gu, 41566 Daegu, Republic of Korea Moon, D.H. ORCID:0000-0002-5628-9187 GRID:grid.14005.30 ROR:https://ror.org/05kzjxq56 Chonnam Natl. U. Chonnam National Univ., 77, Yongbong-ro, Buk-gu, Gwangju, 61186, Republic of Korea Chonnam National University, 77, Yongbong-ro, Buk-gu, 61186 Gwangju, Republic of Korea Mora Mas, F.J. ORCID:0000-0003-2281-9546 GRID:grid.157927.f ROR:https://ror.org/01460j859 Valencia, Polytechnic U. Universitat Politècnica de València (UPV), ETSIT, Camino de Vera, s/n., 46022 Valencia, Spain Rodríguez, M.L. Sánchez ORCID:0000-0002-7819-8139 GRID:grid.470216.6 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/05symbg58 CERN INFN, Pisa MOMAGroup,UniversidaddeOviedo,C.SanFrancisco,3,33003Oviedo,Asturias,Oviedo,33007,Spain INFN Sezione di Pisa, Largo B. Pontecorvo 3, 56127 Pisa, Italy Moriyama, S. ORCID:0000-0001-7630-2839 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Mueller, Th. A. ORCID:0000-0003-2743-4741 GRID:grid.10877.39 ROR:https://ror.org/058t6p923 ROR:https://ror.org/058t6p923 LLR, Palaiseau Ecole Polytechnique EcolePolytechnique,IN2P3-CNRS,LaboratoireLeprince-Ringuet,F-91120Palaiseau,France Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, 91120 Palaiseau, France Nakadaira, T. ORCID:0000-0003-4327-7598 GRID:grid.410794.f GRID:grid.472503.7 ROR:https://ror.org/01g5y5k24 ROR:https://ror.org/05nf86y53 KEK, Tsukuba JAEA, Ibaraki HighEnergyAcceleratorResearchOrganization(KEK),1-1Oho,Tsukuba,Ibaraki,305-0801,Japan also at J-PARC, Ibaraki, Japan High Energy Accelerator Research Organization (KEK), 1-1 Oho, 305-0801 Tsukuba, Ibaraki, Japan J-PARC, Naka, Ibaraki, Japan Nakagiri, K. ORCID:0000-0001-8393-1289 GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 ROR:https://ror.org/04djymq25 Tokyo U. Kamioka Observ. UniversityofTokyo,DepartmentofPhysics,7-3-1Hongo,Bunkyo-ku,Tokyo,113-0033,Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Nakahata, M. ORCID:0000-0001-7783-9080 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Nakai, S. GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 U. Tokyo (main) ERI, Tokyo TheUniversityofTokyo,EarthquakeResearchInstitute,1-1-1Yayoi,Bunkyo-ku,Tokyo,113-0032,Japan Earthquake Research Institute, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, 113-0032 Tokyo, Japan Nakajima, Y. ORCID:0000-0002-2744-5216 GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 Tokyo U. UniversityofTokyo,DepartmentofPhysics,7-3-1Hongo,Bunkyo-ku,Tokyo,113-0033,Japan Department of Physics, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-0033 Tokyo, Japan Nakamura, K. ORCID:0000-0003-0233-0591 GRID:grid.410794.f ROR:https://ror.org/01g5y5k24 KEK, Tsukuba HighEnergyAcceleratorResearchOrganization(KEK),1-1Oho,Tsukuba,Ibaraki,305-0801,Japan High Energy Accelerator Research Organization (KEK), 1-1 Oho, 305-0801 Tsukuba, Ibaraki, Japan Nakamura, K.D. ORCID:0000-0003-3302-7325 GRID:grid.69566.3a Tohoku U., Astron. Inst. TohokuUniversity,FacultyofScience,Aoba,Aramaki,Aoba-ku,Sendai,980-8578,Japan Faculty of Science, Tohoku University, Aoba, Aramaki, Aoba-ku, 980-8578 Sendai, Japan Nakano, Y. ORCID:0000-0003-1572-3888 GRID:grid.267346.2 ROR:https://ror.org/0445phv87 Toyama U. The University of Toyama, Faculty of Science, Gofuku 3190, Toyama, 930-8555, Japan Faculty of Science, The University of Toyama, Gofuku 3190, 930-8555 Toyama, Japan Nakaya, T. ORCID:0000-0003-3040-4674 GRID:grid.258799.8 ROR:https://ror.org/02kpeqv85 Kyoto U. KyotoUniversity,DepartmentofPhysics,KyotoUniversity,Kyoto,Kyoto606-8502,Japan Department of Physics, Kyoto University, 606-8502 Kyoto, Japan Nakayama, S. ORCID:0000-0002-9145-714X GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Machado, L. Nascimento ORCID:0000-0002-7578-4183 GRID:grid.8756.c ROR:https://ror.org/00vtgdb53 Glasgow U. School of Physics and Astronomy, University of Glasgow, Glasgow, G12 8QQ, United Kingdom School of Physics and Astronomy, University of Glasgow, G12 8QQ Glasgow, UK Naseby, C. ORCID:0000-0001-7331-1887 GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London ImperialCollegeLondon,DepartmentofPhysics,BlackettLaboratory,SouthKensingtonCampus,London,SW72AZ,United Kingdom Department of Physics, Blackett Laboratory, South Kensington Campus, Imperial College London, SW7 2AZ London, UK Ng, W.H. ORCID:0009-0009-7310-1025 GRID:grid.1008.9 ROR:https://ror.org/01ej9dk98 Melbourne U. The University of Melbourne, School of Physics, The University of Melbourne, Melbourne, Victoria 3010, Australia School of Physics, The University of Melbourne, 3010 Melbourne, VIC, Australia Niewczas, K. GRID:grid.8505.8 ROR:https://ror.org/00yae6e25 Wroclaw U. Wrocław University, Plac Maxa Borna 9, Wrocław, 50-204, Poland Wrocław University, Plac Maxa Borna 9, 50-204 Wrocław, Poland Ninomiya, K. GRID:grid.27476.30 ROR:https://ror.org/04chrp450 Nagoya U., ISEE Institute for Space-Earth Environmental Research, Nagoya University, Furocho, Chikusa-ku, Nagoya, Aichi, 464-8602, Japan Institute for Space-Earth Environmental Research, Nagoya University, Furocho, Chikusa-ku, 464-8602 Nagoya, Aichi, Japan Nishimori, S. GRID:grid.410794.f GRID:grid.275033.0 ROR:https://ror.org/01g5y5k24 ROR:https://ror.org/0516ah480 KEK, Tsukuba Sokendai, Tsukuba HighEnergyAcceleratorResearchOrganization(KEK),1-1Oho,Tsukuba,Ibaraki,305-0801,Japan also at SOKENDAI, Tsukuba, Japan High Energy Accelerator Research Organization (KEK), 1-1 Oho, 305-0801 Tsukuba, Ibaraki, Japan SOKENDAI, Tsukuba, Japan Nishimura, Y. ORCID:0000-0002-7666-3789 GRID:grid.26091.3c GRID:grid.26999.3d ROR:https://ror.org/02kn6nx58 ROR:https://ror.org/008td3p62 Keio U. Tokyo U., ICRR Keio University, Faculty of Science and Technology, Hiyoshi 3-14-1, Yokohama, 223-8522, Japan University of Tokyo, Institute for Cosmic Ray Research Faculty of Science and Technology, Keio University, Hiyoshi 3-14-1, 223-8522 Yokohama, Japan Institute for Cosmic Ray Research, University of Tokyo, Tokyo, Japan Noguchi, Y. ORCID:0000-0002-3113-3127 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Nosek, T. ORCID:0000-0001-8829-5605 GRID:grid.4491.8 ROR:https://ror.org/024d6js02 Charles U. IPNP, FMF Charles University, Ke Karlovu 3, 121 16 Prague 2, Czech Republic Nova, F. ORCID:0000-0002-0769-9921 GRID:grid.76978.37 ROR:https://ror.org/03gq8fr08 Rutherford STFC Rutherford Appleton Laboratory, RAL PPD and TD, Harwell Science Campus, Didcot, OX11 0QX, United Kingdom STFC Rutherford Appleton Laboratory, RAL PPD and TD, Harwell Science Campus, OX11 0QX Didcot, UK Nožka, L. ORCID:0000-0002-8774-7099 GRID:grid.10979.36 ROR:https://ror.org/02yhj4v17 ROR:https://ror.org/04qxnmv42 Joint Lab. Optics, Olomouc Prague, Inst. Phys. Palacky U. Palacký University Olomouc, Faculty of Science, Joint Laboratory of Optics, 17. listopadu 50A, 772 07 Olomouc, Czech Republic Faculty of Science, Joint Laboratory of Optics, Palacký University Olomouc, 17. listopadu 50A, 772 07 Olomouc, Czech Republic Nugent, J.C. ORCID:0000-0002-2210-8480 GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London ImperialCollegeLondon,DepartmentofPhysics,BlackettLaboratory,SouthKensingtonCampus,London,SW72AZ,United Kingdom Department of Physics, Blackett Laboratory, South Kensington Campus, Imperial College London, SW7 2AZ London, UK Nunokawa, H. ORCID:0000-0002-3369-0840 GRID:grid.4839.6 ROR:https://ror.org/01dg47b60 Rio de Janeiro, Pont. U. Catol. Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Department of Physics, Rua Marquês de São Vicente, 225, Gávea, Rio de Janeiro, 22451900, Brazil Department of Physics, Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Rua Marquês de São Vicente, 225, Gávea, 22451900 Rio de Janeiro, Brazil Nurek, M. ORCID:0009-0003-3509-5193 GRID:grid.1035.7 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Institute of Radioelectronics and Multimedia Technology, Nowowiejska 15/19, Warsaw, 00-665, Poland Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland O'Connor, E. ORCID:0000-0002-8228-796X GRID:grid.10548.38 ROR:https://ror.org/05f0yaq80 ROR:https://ror.org/05f0yaq80 Stockholm U. Stockholm U., OKC Oskar Klein Centre and Dept. of Astronomy, Stockholm University, Dept. Astronomy, Stockholm University, Stockholm, SE-10691, Sweden Oskar Klein Centre and Department of Astronomy, Stockholm University, 10691 Stockholm, Sweden O'Flaherty, M. ORCID:0000-0002-8038-503X GRID:grid.7372.1 ROR:https://ror.org/01a77tt86 Warwick U. University of Warwick, Physics, Gibbet Hill Road, Coventry, CV312NY, United Kingdom University of Warwick, Physics, Gibbet Hill Road, CV312NY Coventry, UK O'Keeffe, H.M. ORCID:0000-0002-4593-3598 GRID:grid.9835.7 ROR:https://ror.org/04f2nsd36 Lancaster U. PhysicsDepartment,LancasterUniversity,Lancaster,LA14YB,United Kingdom Physics Department, Lancaster University, LA1 4YB Lancaster, UK O'Sullivan, E. ORCID:0000-0003-1882-8802 GRID:grid.8993.b ROR:https://ror.org/048a87296 Uppsala U. Dept. of Physics and Astronomy, Uppsala University, Box 516, SE-75120 Uppsala, Sweden Department of Physics and Astronomy, Uppsala University, Box 516, 75120 Uppsala, Sweden Obrebski, W. ORCID:0000-0001-9004-555X GRID:grid.1035.7 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Institute of Radioelectronics and Multimedia Technology, Nowowiejska 15/19, Warsaw, 00-665, Poland Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland Ochoa-Ricoux, P. ORCID:0000-0001-7376-5555 GRID:grid.266093.8 ROR:https://ror.org/04gyf1771 UC, Irvine UniversityofCalifornia,Irvine,DepartmentofPhysicsandAstronomy,IrvineCalifornia,Irvine,92697-4575,UnitedStatesofAmerica Department of Physics and Astronomy, University of California, 92697-4575 Irvine, USA Ogitsu, T. GRID:grid.410794.f GRID:grid.472503.7 ROR:https://ror.org/01g5y5k24 ROR:https://ror.org/05nf86y53 KEK, Tsukuba JAEA, Ibaraki HighEnergyAcceleratorResearchOrganization(KEK),1-1Oho,Tsukuba,Ibaraki,305-0801,Japan also at J-PARC, Ibaraki, Japan High Energy Accelerator Research Organization (KEK), 1-1 Oho, 305-0801 Tsukuba, Ibaraki, Japan J-PARC, Naka, Ibaraki, Japan Okazaki, R. GRID:grid.26091.3c ROR:https://ror.org/02kn6nx58 Keio U. Keio University, Faculty of Science and Technology, Hiyoshi 3-14-1, Yokohama, 223-8522, Japan Faculty of Science and Technology, Keio University, Hiyoshi 3-14-1, 223-8522 Yokohama, Japan Okumura, K. ORCID:0000-0002-5523-2808 GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 ROR:https://ror.org/008td3p62 U. Tokyo (main) Tokyo U., IPMU Tokyo U., ICRR Kavli IPMU/UTokyo, Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, 5-1-5 Kashiwa-no-ha, Kashiwa, Chiba 277-8582, Japan Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, 5-1-5 Kashiwa-no-ha, 277-8582 Kashiwa, Chiba, Japan Kavli IPMU/UTokyo, Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, 277-8583 Kashiwa, Chiba, Japan Onda, N. ORCID:0009-0003-9002-1162 GRID:grid.258799.8 ROR:https://ror.org/02kpeqv85 Kyoto U. KyotoUniversity,DepartmentofPhysics,KyotoUniversity,Kyoto,Kyoto606-8502,Japan Department of Physics, Kyoto University, 606-8502 Kyoto, Japan Orozco-Luna, F. ORCID:0000-0002-3712-9997 GRID:grid.412890.6 ROR:https://ror.org/043xj7k26 Guadalajara U. Doctorado en Tecnologías de la Información, CUCEA, Universidad de Guadalajara, Periférico Norte 799, Los Belenes, 45100, Zapopan, Jalisco, México Doctorado en Tecnologías de la Información, CUCEA, Universidad de Guadalajara, Periférico Norte 799, Los Belenes, 45100 Zapopan, Jalisco, Mexico Ospina, N. ORCID:0000-0002-8404-1808 GRID:grid.470190.b ROR:https://ror.org/022hq6c49 ROR:https://ror.org/027ynra39 INFN, Bari Bari U. INFNSezionediBari,viaOrabona4,Bari,70126,Italy INFN Sezione di Bari, via Orabona 4, 70126 Bari, Italy Ostrowski, M. GRID:grid.5522.0 ROR:https://ror.org/03bqmcz70 Jagiellonian U., Astron. Observ. Jagiellonian University, Astronomical Observatory, ul. Orla 171, Krakow, 30-244, Poland Astronomical Observatory, Jagiellonian University, ul. Orla 171, 30-244 Kraków, Poland Otani, N. ORCID:0009-0004-9003-0365 GRID:grid.258799.8 ROR:https://ror.org/02kpeqv85 Kyoto U. KyotoUniversity,DepartmentofPhysics,KyotoUniversity,Kyoto,Kyoto606-8502,Japan Department of Physics, Kyoto University, 606-8502 Kyoto, Japan Oyama, Y. ORCID:0000-0002-1689-0285 GRID:grid.410794.f GRID:grid.472503.7 ROR:https://ror.org/01g5y5k24 ROR:https://ror.org/05nf86y53 KEK, Tsukuba JAEA, Ibaraki HighEnergyAcceleratorResearchOrganization(KEK),1-1Oho,Tsukuba,Ibaraki,305-0801,Japan also at J-PARC, Ibaraki, Japan High Energy Accelerator Research Organization (KEK), 1-1 Oho, 305-0801 Tsukuba, Ibaraki, Japan J-PARC, Naka, Ibaraki, Japan Pac, M.Y. ORCID:0000-0001-6085-1462 GRID:grid.412069.8 Dongshin U. Dongshin University, Laboratory for High Energy Physics, Naju, Chonnam, 58245, Republic of Korea Laboratory for High Energy Physics, Dongshin University, 58245 Naju, Chonnam, Republic of Korea Paganini, P. ORCID:0000-0001-9580-683X GRID:grid.10877.39 ROR:https://ror.org/058t6p923 ROR:https://ror.org/058t6p923 LLR, Palaiseau Ecole Polytechnique EcolePolytechnique,IN2P3-CNRS,LaboratoireLeprince-Ringuet,F-91120Palaiseau,France Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, 91120 Palaiseau, France Palacio, J. ORCID:0000-0003-0374-100X GRID:grid.499304.3 ROR:https://ror.org/02zcam055 LSC, Canfranc Canfranc Underground Laboratory (LSC), Paseo de los Ayerbe s/n, Canfranc, ES-22888, Spain Canfranc Underground Laboratory (LSC), Paseo de los Ayerbe s/n, 22888 Canfranc, Spain Pari, M. ORCID:0000-0002-1852-9549 GRID:grid.470212.2 GRID:grid.5608.b ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/00240q980 ROR:https://ror.org/00z34yn88 INFN, Bologna Padua U. INFN, Padua INFM, Padua INFN,SezionediPadova,viaMarzolo8,Padova,35131,Italy UniversitàdiPadova,DepartmentofPhysicsandAstronomy,viaMarzolo8,Padova,35131,Italy INFN, Sezione di Padova, via Marzolo 8, 35131 Padua, Italy Department of Physics and Astronomy, Università di Padova, via Marzolo 8, 35131 Padua, Italy Park, J. GRID:grid.258803.4 ROR:https://ror.org/040c17130 Kyungpook Natl. U. Department of Physics, Kyungpook National University, 80 Daehak-ro, Buk-gu, 41566 Daegu, Republic of Korea Pasternak, J. ORCID:0000-0003-3803-2828 GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London ImperialCollegeLondon,DepartmentofPhysics,BlackettLaboratory,SouthKensingtonCampus,London,SW72AZ,United Kingdom Department of Physics, Blackett Laboratory, South Kensington Campus, Imperial College London, SW7 2AZ London, UK Pastore, C. ORCID:0000-0002-2780-4872 GRID:grid.470190.b ROR:https://ror.org/022hq6c49 ROR:https://ror.org/027ynra39 INFN, Bari Bari U. INFNSezionediBari,viaOrabona4,Bari,70126,Italy INFN Sezione di Bari, via Orabona 4, 70126 Bari, Italy Pastuszak, G. ORCID:0000-0002-7368-0495 GRID:grid.1035.7 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Institute of Radioelectronics and Multimedia Technology, Nowowiejska 15/19, Warsaw, 00-665, Poland Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland Pate, C. GRID:grid.64337.35 ROR:https://ror.org/05ect4e57 Louisiana State U. Physics and Astronomy, Louisiana State University, 202 Nicholson Hall, 70803 Baton Rouge, LA, USA Pavin, M. GRID:grid.232474.4 ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, V6T 2A3, Canada TRIUMF, 4004 Wesbrook Mall, V6T 2A3 Vancouver, Canada Payne, D. ORCID:0000-0002-8520-5210 GRID:grid.10025.36 ROR:https://ror.org/04xs57h96 ROR:https://ror.org/04xs57h96 Liverpool U. U. Liverpool (main) University of Liverpool, Department of Physics, University of Liverpool, Liverpool, L69 7ZX, United Kingdom Department of Physics, University of Liverpool, L69 7ZX Liverpool, UK Pelegrin Mosquera, J. ORCID:0000-0002-7589-5940 GRID:grid.452382.a Donostia Intl. Phys. Ctr., San Sebastian Donostia International Physics Center, C/ Manuel Mendizabal 4, 20018 Donostia-San Sebastián, Spain Peña-Garay, C. ORCID:0000-0003-1282-2944 GRID:grid.499304.3 ROR:https://ror.org/02zcam055 LSC, Canfranc Canfranc Underground Laboratory (LSC), Paseo de los Ayerbe s/n, Canfranc, ES-22888, Spain Canfranc Underground Laboratory (LSC), Paseo de los Ayerbe s/n, 22888 Canfranc, Spain de Perio, P. ORCID:0000-0002-0741-4471 GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 U. Tokyo (main) Tokyo U., IPMU Kavli IPMU/UTokyo, Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan Kavli IPMU/UTokyo, Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, 277-8583 Kashiwa, Chiba, Japan Périssé, L. ORCID:0000-0003-3444-4454 GRID:grid.26999.3d ROR:https://ror.org/008td3p62 Tokyo U., ICRR ILANCE, CNRS-University of Tokyo International Research Laboratory, 277-8582 Kashiwa, Chiba, Japan Pinzino, J. ORCID:0000-0002-7418-0636 GRID:grid.470216.6 ROR:https://ror.org/05symbg58 INFN, Pisa INFN Sezione di Pisa, Largo B. Pontecorvo 3, Pisa, 56127, Italy INFN Sezione di Pisa, Largo B. Pontecorvo 3, 56127 Pisa, Italy Piotrowski, B. ORCID:0009-0005-9932-9184 GRID:grid.1035.7 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Institute of Radioelectronics and Multimedia Technology, Nowowiejska 15/19, Warsaw, 00-665, Poland Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland Playfer, S. GRID:grid.13097.3c ROR:https://ror.org/05tkyf982 ROR:https://ror.org/0220mzb33 Ben Gurion U. of Negev King's Coll. London King’sCollegeLondon,DepartmentofPhysics,King’sCollegeLondon,DepartmentofPhysics,Strand,London,WC2R2LS,UnitedKingdom Department of Physics, King’s College London, Strand, WC2R 2LS London, UK Pointon, B. ORCID:0000-0003-0312-4044 GRID:grid.57926.3f GRID:grid.232474.4 GRID:grid.253312.4 ROR:https://ror.org/0213rcc28 ROR:https://ror.org/03kgj4539 ROR:https://ror.org/03dzc0485 Simon Fraser U. TRIUMF Regina U. British Columbia Institute of Technology (BCIT), Physics, 3700 Willingdon Ave., Burnaby, B.C. , V5G 3H2, Canada TRIUMF, 4004 Wesbrook Mall, Vancouver, V6T 2A3, Canada UniversityofRegina,DepartmentofPhysics,3737WascanaParkway,Regina,S4S0A2,Canada Department of Physics, University of Regina, 3737 Wascana Parkway, S4S0A2 Regina, Canada TRIUMF, 4004 Wesbrook Mall, V6T 2A3 Vancouver, Canada Physics, British Columbia Institute of Technology (BCIT), 3700 Willingdon Ave., V5G 3H2 Burnaby, BC, Canada Ponticelli, E. GRID:grid.4691.a Naples U. Università Federico II di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy Popov, A. ORCID:0000-0002-4715-2373 Popov, B. ORCID:0000-0001-5416-9301 GRID:grid.462844.8 Paris U., VI-VII LaboratoiredePhysiqueNucléaireetdeHautesEnergies(LPNHE),CNRS/IN2P3,SorbonneUniversité,Paris,France Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), CNRS/IN2P3, Sorbonne Université, Paris, France Posiadala-Zezula, M. ORCID:0000-0002-5154-5348 GRID:grid.12847.38 ROR:https://ror.org/039bjqg32 Warsaw U. University of Warsaw, Faculty of Physics Faculty of Physics, University of Warsaw, Warsaw, Poland Pronost, G. ORCID:0000-0001-6429-5387 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Prouse, N.W. ORCID:0000-0003-1037-3081 GRID:grid.7445.2 GRID:grid.232474.4 ROR:https://ror.org/041kmwe10 ROR:https://ror.org/03kgj4539 Imperial Coll., London TRIUMF ImperialCollegeLondon,DepartmentofPhysics,BlackettLaboratory,SouthKensingtonCampus,London,SW72AZ,United Kingdom TRIUMF, 4004 Wesbrook Mall, Vancouver, V6T 2A3, Canada Department of Physics, Blackett Laboratory, South Kensington Campus, Imperial College London, SW7 2AZ London, UK TRIUMF, 4004 Wesbrook Mall, V6T 2A3 Vancouver, Canada Quach, C. GRID:grid.10877.39 ROR:https://ror.org/058t6p923 ROR:https://ror.org/058t6p923 LLR, Palaiseau Ecole Polytechnique EcolePolytechnique,IN2P3-CNRS,LaboratoireLeprince-Ringuet,F-91120Palaiseau,France Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, 91120 Palaiseau, France Quilain, B. ORCID:0009-0004-1589-6310 GRID:grid.26999.3d GRID:grid.10877.39 ROR:https://ror.org/058t6p923 ROR:https://ror.org/008td3p62 ROR:https://ror.org/058t6p923 LLR, Palaiseau ILANCE, Tokyo Tokyo U., ICRR Ecole Polytechnique EcolePolytechnique,IN2P3-CNRS,LaboratoireLeprince-Ringuet,F-91120Palaiseau,France ILANCE, CNRS- University of Tokyo International Research Laboratory, Kashiwa, Chiba 277- 8582, Japan ILANCE, CNRS-University of Tokyo International Research Laboratory, 277-8582 Kashiwa, Chiba, Japan Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, 91120 Palaiseau, France Radicioni, E. ORCID:0000-0002-2231-1067 GRID:grid.470190.b ROR:https://ror.org/022hq6c49 ROR:https://ror.org/027ynra39 INFN, Bari Bari U. INFNSezionediBari,viaOrabona4,Bari,70126,Italy INFN Sezione di Bari, via Orabona 4, 70126 Bari, Italy Rajda, P. ORCID:0000-0001-5016-9953 GRID:grid.9922.0 ROR:https://ror.org/00bas1c41 AGH-UST, Cracow AGH University of Science and Technology, Institute of Electronics, al. Mickiewicza 30, Kraków, 30-059, Poland Institute of Electronics, AGH University of Krakow, al. Mickiewicza 30, 30-059 Kraków, Poland Cascón, E. Ramos ORCID:0009-0001-4225-9235 GRID:grid.452382.a Donostia Intl. Phys. Ctr., San Sebastian Donostia International Physics Center, C/ Manuel Mendizabal 4, Spain, 20018 Donostia-San Sebastián, Spain Donostia International Physics Center, C/ Manuel Mendizabal 4, 20018 Donostia-San Sebastián, Spain Ramsden, R. ORCID:0009-0005-3298-6593 GRID:grid.13097.3c ROR:https://ror.org/05tkyf982 ROR:https://ror.org/0220mzb33 Ben Gurion U. of Negev King's Coll. London King’sCollegeLondon,DepartmentofPhysics,King’sCollegeLondon,DepartmentofPhysics,Strand,London,WC2R2LS,UnitedKingdom Department of Physics, King’s College London, Strand, WC2R 2LS London, UK Renner, J. ORCID:0000-0003-1843-2015 GRID:grid.11794.3a ROR:https://ror.org/030eybx10 Santiago de Compostela U., IGFAE Universidade de Santiago de Compostela, Instituto Galego de Física de Altas Enerxías (IGFAE), Rúa de Xoaquín Díaz de Rábago, s/n, Santiago de Compostela, 15705, Spain Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Rúa de Xoaquín Díaz de Rábago, s/n, 15705 Santiago de Compostela, Spain Rescigno, M. ORCID:0000-0001-6507-2046 GRID:grid.470218.8 ROR:https://ror.org/02be6w209 Rome U. INFM, Rome INFNSezionediRoma,P.leA.Moro2,Roma,00185,Italy INFN Sezione di Roma, P.le A.Moro 2, 00185 Rome, Italy Ricciardi, G. ORCID:0000-0002-2352-9033 GRID:grid.470211.1 GRID:grid.4691.a ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. INFNSezionediNapoli,ViaVicinaleCupaCintia,26,Napoli,80126,Italy Università Federico II di Napoli , Via Vicinale Cupa Cintia, 26, Napoli, 80126, Italy INFN Sezione di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy Università Federico II di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy Richards, B. ORCID:0000-0002-5390-6207 GRID:grid.7372.1 ROR:https://ror.org/01a77tt86 Warwick U. University of Warwick, Physics, Gibbet Hill Road, Coventry, CV312NY, United Kingdom University of Warwick, Physics, Gibbet Hill Road, CV312NY Coventry, UK Richards, K. GRID:grid.76978.37 ROR:https://ror.org/03gq8fr08 Rutherford STFC Rutherford Appleton Laboratory, RAL PPD and TD, Harwell Science Campus, Didcot, OX11 0QX, United Kingdom STFC Rutherford Appleton Laboratory, RAL PPD and TD, Harwell Science Campus, OX11 0QX Didcot, UK Riley, D.W. ORCID:0009-0007-0987-7254 GRID:grid.8756.c ROR:https://ror.org/00vtgdb53 Glasgow U. School of Physics and Astronomy, University of Glasgow, Glasgow, G12 8QQ, United Kingdom School of Physics and Astronomy, University of Glasgow, G12 8QQ Glasgow, UK Rimmer, J. ORCID:0009-0008-5741-3224 GRID:grid.143640.4 ROR:https://ror.org/04s5mat29 Victoria U. University of Victoria, Department of Physics and Astronomy, 3800 Finnerty Road, Victoria, V8P 5C2, Canada Department of Physics and Astronomy, University of Victoria, 3800 Finnerty Road, V8P 5C2 Victoria, Canada Cabo, S. Rodriguez ORCID:0000-0002-7398-0818 GRID:grid.10863.3c ROR:https://ror.org/01ggx4157 ROR:https://ror.org/006gksa02 CERN U. Oviedo (main) MOMAGroup,UniversidaddeOviedo,C.SanFrancisco,3,33003Oviedo,Asturias,Oviedo,33007,Spain MOMA Group, Universidad de Oviedo, C. San Francisco, 3, 33003 Oviedo, Asturias, Spain Rogly, R. GRID:grid.10877.39 ROR:https://ror.org/058t6p923 ROR:https://ror.org/058t6p923 LLR, Palaiseau Ecole Polytechnique EcolePolytechnique,IN2P3-CNRS,LaboratoireLeprince-Ringuet,F-91120Palaiseau,France Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, 91120 Palaiseau, France Roig-Tormo, E. ORCID:0009-0005-2859-8846 GRID:grid.499304.3 ROR:https://ror.org/02zcam055 LSC, Canfranc Canfranc Underground Laboratory (LSC), Paseo de los Ayerbe s/n, Canfranc, ES-22888, Spain Canfranc Underground Laboratory (LSC), Paseo de los Ayerbe s/n, 22888 Canfranc, Spain Romo-Fuentes, M.F. GRID:grid.419886.a ITESM, Monterrey Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501 Sur, Col: Tecnologico, Monterrey, N.L., Mexico, 64700, N.L., 64700, Mexico Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501 Sur Col: Tecnologico, 64700 Monterrey, NL, Mexico Rondio, E. ORCID:0000-0002-2607-4820 GRID:grid.450295.f ROR:https://ror.org/00nzsxq20 NCBJ, Swierk National Centre for Nuclear Research, ul. Soltana 7, Otwock, 05-400, Poland National Centre for Nuclear Research, ul. Soltana 7, 05-400 Otwock, Poland Roskovec, B. ORCID:0000-0003-0660-5951 GRID:grid.4491.8 ROR:https://ror.org/024d6js02 Charles U. IPNP, FMF Charles University, Ke Karlovu 3, 121 16 Prague 2, Czech Republic Roth, S. ORCID:0000-0003-3616-2223 GRID:grid.1957.a ROR:https://ror.org/04xfq0f34 RWTH Aachen U. RWTH Aachen University, III. Physikalisches Institut, Sommerfeldstr. 16, Aachen, 52074, Germany III. Physikalisches Institut, RWTH Aachen University, Sommerfeldstr. 16, 52074 Aachen, Germany Rott, C. ORCID:0000-0002-6958-6033 GRID:grid.223827.e ROR:https://ror.org/03r0ha626 Utah U. Utah U., Math. Dept. University of Utah, Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, United States of America Department of Physics and Astronomy, University of Utah, 84112 Salt Lake City, UT, USA Rubbia, A. ORCID:0000-0002-5747-1001 GRID:grid.5801.c ROR:https://ror.org/05a28rw58 Zurich, ETH ETHZurich,InstituteforParticlePhysicsandAstrophysics,Otto-Stern-Weg5,Zurich,CH-8093,Switzerland Institute for Particle Physics and Astrophysics, ETH Zurich, Otto-Stern-Weg 5, 8093 Zurich, Switzerland Ruggeri, A.C. ORCID:0000-0002-1556-2474 GRID:grid.470211.1 ROR:https://ror.org/015kcdd40 INFN, Naples INFNSezionediNapoli,ViaVicinaleCupaCintia,26,Napoli,80126,Italy INFN Sezione di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy Russo, S. ORCID:0009-0009-6455-046X GRID:grid.462844.8 Paris U., VI-VII LaboratoiredePhysiqueNucléaireetdeHautesEnergies(LPNHE),CNRS/IN2P3,SorbonneUniversité,Paris,France Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), CNRS/IN2P3, Sorbonne Université, Paris, France Rychter, A. ORCID:0000-0002-9666-5394 GRID:grid.1035.7 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Institute of Radioelectronics and Multimedia Technology, Nowowiejska 15/19, Warsaw, 00-665, Poland Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland Ryu, D. ORCID:0000-0002-5455-2957 GRID:grid.42687.3f ROR:https://ror.org/017cjz748 UNIST, Ulsan Ulsan National Institute of Science and Technology (UNIST), Physics, 50 UNIST-gil, Ulju-gun, , Ulsan, 44919, Republic of Korea Physics, Ulsan National Institute of Science and Technology (UNIST), 50 UNIST-gil, Ulju-gun, 44919 Ulsan, Republic of Korea Saenz, W. ORCID:0009-0005-1399-9524 GRID:grid.462844.8 Paris U., VI-VII LaboratoiredePhysiqueNucléaireetdeHautesEnergies(LPNHE),CNRS/IN2P3,SorbonneUniversité,Paris,France Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), CNRS/IN2P3, Sorbonne Université, Paris, France Sakashita, K. ORCID:0000-0003-2602-7837 GRID:grid.410794.f GRID:grid.472503.7 GRID:grid.275033.0 ROR:https://ror.org/01g5y5k24 ROR:https://ror.org/05nf86y53 ROR:https://ror.org/0516ah480 KEK, Tsukuba JAEA, Ibaraki Sokendai, Tsukuba HighEnergyAcceleratorResearchOrganization(KEK),1-1Oho,Tsukuba,Ibaraki,305-0801,Japan also at J-PARC, Ibaraki, Japan also at SOKENDAI, Tsukuba, Japan High Energy Accelerator Research Organization (KEK), 1-1 Oho, 305-0801 Tsukuba, Ibaraki, Japan J-PARC, Naka, Ibaraki, Japan SOKENDAI, Tsukuba, Japan Samani, S. ORCID:0000-0003-4742-9923 GRID:grid.8591.5 ROR:https://ror.org/01swzsf04 Geneva U. UniversitedeGeneve,DPNC,24,quaiErnest-Ansermet,Genève4,CH-1211,Switzerland Universite de Geneve, DPNC, 24, quai Ernest-Ansermet, 1211 Geneva 4, Switzerland Sánchez, F. ORCID:0000-0003-0320-3623 GRID:grid.8591.5 ROR:https://ror.org/01swzsf04 Geneva U. UniversitedeGeneve,DPNC,24,quaiErnest-Ansermet,Genève4,CH-1211,Switzerland Universite de Geneve, DPNC, 24, quai Ernest-Ansermet, 1211 Geneva 4, Switzerland Sánchez Rodríguez, M.L. ORCID:0000-0002-4249-1026 GRID:grid.10863.3c ROR:https://ror.org/01a77tt86 ROR:https://ror.org/006gksa02 Warwick U. U. Oviedo (main) University of Warwick, Physics, Gibbet Hill Road, Coventry, CV312NY, United Kingdom MOMA Group, Universidad de Oviedo, C. San Francisco, 3, 33003 Oviedo, Asturias, Spain Sandford, E. ORCID:0000-0002-0245-8619 GRID:grid.10025.36 ROR:https://ror.org/04xs57h96 ROR:https://ror.org/04xs57h96 Liverpool U. U. Liverpool (main) University of Liverpool, Department of Physics, University of Liverpool, Liverpool, L69 7ZX, United Kingdom Department of Physics, University of Liverpool, L69 7ZX Liverpool, UK Santos, A. ORCID:0000-0002-4856-4986 GRID:grid.10877.39 ROR:https://ror.org/058t6p923 ROR:https://ror.org/058t6p923 LLR, Palaiseau Ecole Polytechnique EcolePolytechnique,IN2P3-CNRS,LaboratoireLeprince-Ringuet,F-91120Palaiseau,France Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, 91120 Palaiseau, France Rodríguez, J.D. Santos ORCID:0000-0003-2038-4606 GRID:grid.10863.3c ROR:https://ror.org/01ggx4157 ROR:https://ror.org/006gksa02 CERN U. Oviedo (main) MOMAGroup,UniversidaddeOviedo,C.SanFrancisco,3,33003Oviedo,Asturias,Oviedo,33007,Spain MOMA Group, Universidad de Oviedo, C. San Francisco, 3, 33003 Oviedo, Asturias, Spain Sarker, A. ORCID:0000-0002-5211-0338 GRID:grid.45982.32 ROR:https://ror.org/005x56091 Tezpur U. Tezpur University, Physics, Napaam, Sonitpur, Assam, 784028, India Physics, Tezpur University, Napaam, 784028 Sonitpur, Assam, India Sarmah, P. ORCID:0000-0003-3159-7148 GRID:grid.417972.e ROR:https://ror.org/0022nd079 Indian Inst. Tech., Guwahati Indian Institute of Technology- Guwahati, Indian Institute of Technology-Guwahati, Guwahati, India Sato, K. ORCID:0000-0002-4154-5360 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Sato, Y. GRID:grid.143643.7 Tokyo U. of Sci. Tokyo University of Science, Physics and Astronomy, 2641 Yamazaki, 278-8510 Noda, Chiba, Japan Schloesser, C. GRID:grid.8591.5 ROR:https://ror.org/01swzsf04 Geneva U. UniversitedeGeneve,DPNC,24,quaiErnest-Ansermet,Genève4,CH-1211,Switzerland Universite de Geneve, DPNC, 24, quai Ernest-Ansermet, 1211 Geneva 4, Switzerland Scott, M. ORCID:0000-0002-1759-4453 GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London ImperialCollegeLondon,DepartmentofPhysics,BlackettLaboratory,SouthKensingtonCampus,London,SW72AZ,United Kingdom Department of Physics, Blackett Laboratory, South Kensington Campus, Imperial College London, SW7 2AZ London, UK Seiya, Y. ORCID:0000-0002-3912-898X ROR:https://ror.org/01hvx5h04 Osaka Metropolitan U. Osaka Metropolitan University, Department of Physics, Osaka, 558-8585 Japan Department of Physics, Osaka Metropolitan University, 558-8585 Osaka, Japan Sekiguchi, T. ORCID:0000-0003-4812-0119 GRID:grid.410794.f GRID:grid.472503.7 ROR:https://ror.org/01g5y5k24 ROR:https://ror.org/05nf86y53 KEK, Tsukuba JAEA, Ibaraki HighEnergyAcceleratorResearchOrganization(KEK),1-1Oho,Tsukuba,Ibaraki,305-0801,Japan also at J-PARC, Ibaraki, Japan High Energy Accelerator Research Organization (KEK), 1-1 Oho, 305-0801 Tsukuba, Ibaraki, Japan J-PARC, Naka, Ibaraki, Japan Sekiya, H. ORCID:0000-0001-9034-0436 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 Kamioka Observ. U. Tokyo (main) Tokyo U., IPMU KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kavli IPMU/UTokyo, Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Kavli IPMU/UTokyo, Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, 277-8583 Kashiwa, Chiba, Japan Seo, J.W. ORCID:0000-0002-2719-2079 GRID:grid.264381.a ROR:https://ror.org/04q78tk20 Sungkyunkwan U. Sungkyunkwan University, Department of Physics, Jangan-gu, Seobu-ro 2066, Suwon, 16419, Republic of Korea Department of Physics, Sungkyunkwan University, Jangan-gu, Seobu-ro 2066, 16419 Suwon, Republic of Korea Sgalaberna, D. ORCID:0000-0001-6205-5013 GRID:grid.5801.c ROR:https://ror.org/05a28rw58 Zurich, ETH ETHZurich,InstituteforParticlePhysicsandAstrophysics,Otto-Stern-Weg5,Zurich,CH-8093,Switzerland Institute for Particle Physics and Astrophysics, ETH Zurich, Otto-Stern-Weg 5, 8093 Zurich, Switzerland Shimizu, I. ORCID:0000-0003-2705-6461 GRID:grid.69566.3a ROR:https://ror.org/01dq60k83 ROR:https://ror.org/01dq60k83 Tohoku U. RCNS, Sendai Tohoku University, Research Center for Neutrino Science, 6-3, Aramaki Aza Aoba, Aobaku, Sendai, 980-8578, Japan Research Center for Neutrino Science, Tohoku University, 6-3, Aramaki Aza Aoba, Aobaku, 980-8578 Sendai, Japan Shimizu, K. ORCID:0009-0006-6921-0593 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Shin, C.D. GRID:grid.14005.30 ROR:https://ror.org/05kzjxq56 Chonnam Natl. U. Chonnam National Univ., 77, Yongbong-ro, Buk-gu, Gwangju, 61186, Republic of Korea Chonnam National University, 77, Yongbong-ro, Buk-gu, 61186 Gwangju, Republic of Korea Shinoki, M. GRID:grid.143643.7 Tokyo U. of Sci. Tokyo University of Science, Physics and Astronomy, 2641 Yamazaki, Noda, Chiba, Chiba, 278-8510, Japan Tokyo University of Science, Physics and Astronomy, 2641 Yamazaki, 278-8510 Noda, Chiba, Japan Shiozawa, M. ORCID:0000-0003-0520-3520 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Shvartsman, A. ORCID:0000-0002-7160-2549 Simonelli, A. ORCID:0000-0002-9206-0347 GRID:grid.470211.1 ROR:https://ror.org/015kcdd40 INFN, Naples INFNSezionediNapoli,ViaVicinaleCupaCintia,26,Napoli,80126,Italy INFN Sezione di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy Skrobova, N. ORCID:0000-0003-0783-6655 Skwarczynski, K. ORCID:0000-0002-6967-9715 GRID:grid.450295.f ROR:https://ror.org/00nzsxq20 NCBJ, Swierk National Centre for Nuclear Research, ul. Soltana 7, Otwock, 05-400, Poland National Centre for Nuclear Research, ul. Soltana 7, 05-400 Otwock, Poland Smithers, Benjamin R. ORCID:0000-0003-1273-985X GRID:grid.232474.4 ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, V6T 2A3, Canada TRIUMF, 4004 Wesbrook Mall, V6T 2A3 Vancouver, Canada Smy, M. ORCID:0000-0002-8140-4319 GRID:grid.266093.8 ROR:https://ror.org/04gyf1771 UC, Irvine UniversityofCalifornia,Irvine,DepartmentofPhysicsandAstronomy,IrvineCalifornia,Irvine,92697-4575,UnitedStatesofAmerica Department of Physics and Astronomy, University of California, 92697-4575 Irvine, USA Sobczyk, J. ORCID:0000-0003-4991-2919 GRID:grid.8505.8 ROR:https://ror.org/00yae6e25 Wroclaw U. Wrocław University, Plac Maxa Borna 9, Wrocław, 50-204, Poland Wrocław University, Plac Maxa Borna 9, 50-204 Wrocław, Poland Sobel, H.W. ORCID:0000-0001-5073-4043 GRID:grid.266093.8 ROR:https://ror.org/04gyf1771 UC, Irvine UniversityofCalifornia,Irvine,DepartmentofPhysicsandAstronomy,IrvineCalifornia,Irvine,92697-4575,UnitedStatesofAmerica Department of Physics and Astronomy, University of California, 92697-4575 Irvine, USA Soler, F.J.P. ORCID:0000-0002-4893-3729 GRID:grid.8756.c ROR:https://ror.org/00vtgdb53 Glasgow U. School of Physics and Astronomy, University of Glasgow, Glasgow, G12 8QQ, United Kingdom School of Physics and Astronomy, University of Glasgow, G12 8QQ Glasgow, UK Sozzi, M.S. ORCID:0000-0002-2923-1465 GRID:grid.470216.6 GRID:grid.5395.a ROR:https://ror.org/05symbg58 INFN, Pisa INFN Sezione di Pisa, Largo B. Pontecorvo 3, Pisa, 56127, Italy Università di Pisa, Dipartimento di Fisica, Largo B. Pontecorvo 3, Pisa, 56127, Italy INFN Sezione di Pisa, Largo B. Pontecorvo 3, 56127 Pisa, Italy Dipartimento di Fisica, Università di Pisa, Largo B. Pontecorvo 3, 56127 Pisa, Italy Spina, R. ORCID:0000-0002-1489-803X GRID:grid.470190.b GRID:grid.4466.0 ROR:https://ror.org/022hq6c49 ROR:https://ror.org/027ynra39 INFN, Bari Bari U. INFNSezionediBari,viaOrabona4,Bari,70126,Italy PolitecnicodiBari,viaOrabona4,Bari,70126,Italy INFN Sezione di Bari, via Orabona 4, 70126 Bari, Italy Politecnico di Bari, via Orabona 4, 70126 Bari, Italy Spisso, B. ORCID:0000-0003-1491-6151 GRID:grid.470211.1 ROR:https://ror.org/043kfae87 ROR:https://ror.org/015kcdd40 INFN, Salerno INFN, Naples INFN Gruppo Collegato di Salerno, Via Giovanni Paolo II 132, Fisciano, 84084, Italy INFN Sezione di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy Spradlin, P. ORCID:0000-0002-5280-9464 GRID:grid.8756.c ROR:https://ror.org/00vtgdb53 Glasgow U. School of Physics and Astronomy, University of Glasgow, Glasgow, G12 8QQ, United Kingdom School of Physics and Astronomy, University of Glasgow, G12 8QQ Glasgow, UK Stankevich, K. GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Stavropoulos, D. GRID:grid.6083.d ROR:https://ror.org/03znpfq81 Democritos Nucl. Res. Ctr. NCSR Demokritos, Institute of Nuclear and Particle Physics, Neapoleos Str. 27 & Patr. Grigoriou E, Agia Paraskevi Attikis, 15341, Greece Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos Str. 27 and Patr. Grigoriou E, 15341 Agia Paraskevi, Attiki, Greece Stawarz, L. ORCID:0000-0002-7263-7540 GRID:grid.5522.0 ROR:https://ror.org/03bqmcz70 Jagiellonian U., Astron. Observ. Jagiellonian University, Astronomical Observatory, ul. Orla 171, Krakow, 30-244, Poland Astronomical Observatory, Jagiellonian University, ul. Orla 171, 30-244 Kraków, Poland Stowell, P. ORCID:0000-0002-6930-0509 GRID:grid.11835.3e ROR:https://ror.org/05krs5044 ROR:https://ror.org/05krs5044 Sheffield U. U. Sheffield (main) UniversityofSheffield,DepartmentofMathematicalandPhysicalSciences,WesternBank,Sheffield,S102TN,United Kingdom Department of Mathematical and Physical Sciences, Western Bank, University of Sheffield, S10 2TN Sheffield, UK Studenikin, A. ORCID:0000-0003-3310-9072 Gómez, S.L. Suárez ORCID:0000-0003-4970-0502 GRID:grid.10863.3c ROR:https://ror.org/01ggx4157 ROR:https://ror.org/006gksa02 CERN U. Oviedo (main) MOMAGroup,UniversidaddeOviedo,C.SanFrancisco,3,33003Oviedo,Asturias,Oviedo,33007,Spain MOMA Group, Universidad de Oviedo, C. San Francisco, 3, 33003 Oviedo, Asturias, Spain Suchenek, M. ORCID:0000-0003-1865-2894 GRID:grid.436383.9 Warsaw, Copernicus Astron. Ctr. Nicolaus Copernicus Astronomical Centre of the Polish Academy of Sciences, Astrocent, Rektorska 4, Warsaw, 00-614, Poland Nicolaus Copernicus Astronomical Centre of the Polish Academy of Sciences, Astrocent, Rektorska 4, 00-614 Warsaw, Poland Sunanda ORCID:0000-0001-8282-4561 GRID:grid.462385.e ROR:https://ror.org/03yacj906 IIT, Jodhpur Indian Institute of Technology-Jodhpur, Jodhpur, India Suwa, Y. ORCID:0000-0002-7443-2215 GRID:grid.26999.3d GRID:grid.258799.8 ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02kpeqv85 Tokyo U. Kyoto U. UniversityofTokyo,DepartmentofPhysics,7-3-1Hongo,Bunkyo-ku,Tokyo,113-0033,Japan KyotoUniversity,DepartmentofPhysics,KyotoUniversity,Kyoto,Kyoto606-8502,Japan Department of Physics, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-0033 Tokyo, Japan Department of Physics, Kyoto University, 606-8502 Kyoto, Japan Suzuki, A. ORCID:0000-0002-6985-5889 GRID:grid.31432.37 ROR:https://ror.org/03tgsfw79 Kobe U. Kobe University, Department of Physics, Graduate School of Science, 1-1 Rokkodai, Nada, Kobe, Hyogo, 657-8501, Japan Department of Physics, Graduate School of Science, Kobe University, 1-1 Rokkodai, Nada, 657-8501 Kobe, Hyogo, Japan Suzuki, S.Y. ORCID:0000-0002-7135-4901 GRID:grid.410794.f ROR:https://ror.org/01g5y5k24 KEK, Tsukuba HighEnergyAcceleratorResearchOrganization(KEK),1-1Oho,Tsukuba,Ibaraki,305-0801,Japan High Energy Accelerator Research Organization (KEK), 1-1 Oho, 305-0801 Tsukuba, Ibaraki, Japan Suzuki, Y. ORCID:0000-0001-7340-6675 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Svirida, D. ORCID:0000-0002-0334-7304 Tada, M. GRID:grid.410794.f GRID:grid.472503.7 ROR:https://ror.org/01g5y5k24 ROR:https://ror.org/05nf86y53 KEK, Tsukuba JAEA, Ibaraki HighEnergyAcceleratorResearchOrganization(KEK),1-1Oho,Tsukuba,Ibaraki,305-0801,Japan also at J-PARC, Ibaraki, Japan High Energy Accelerator Research Organization (KEK), 1-1 Oho, 305-0801 Tsukuba, Ibaraki, Japan J-PARC, Naka, Ibaraki, Japan Taghayor, S. ORCID:0000-0002-6173-9306 GRID:grid.232474.4 GRID:grid.143640.4 ROR:https://ror.org/03kgj4539 ROR:https://ror.org/04s5mat29 TRIUMF Victoria U. University of Victoria, Department of Physics and Astronomy, 3800 Finnerty Road, Victoria, V8P 5C2, Canada TRIUMF, 4004 Wesbrook Mall, V6T 2A3 Vancouver, Canada Department of Physics and Astronomy, University of Victoria, 3800 Finnerty Road, V8P 5C2 Victoria, Canada Takeda, A. ORCID:0009-0003-6003-072X GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Takemoto, Y. ORCID:0000-0003-2232-7277 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Taketa, A. ORCID:0000-0001-6936-4118 GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 U. Tokyo (main) ERI, Tokyo TheUniversityofTokyo,EarthquakeResearchInstitute,1-1-1Yayoi,Bunkyo-ku,Tokyo,113-0032,Japan Earthquake Research Institute, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, 113-0032 Tokyo, Japan Takeuchi, Y. ORCID:0000-0002-4665-2210 GRID:grid.31432.37 ROR:https://ror.org/03tgsfw79 Kobe U. Kobe University, Department of Physics, Graduate School of Science, 1-1 Rokkodai, Nada, Kobe, Hyogo, 657-8501, Japan Department of Physics, Graduate School of Science, Kobe University, 1-1 Rokkodai, Nada, 657-8501 Kobe, Hyogo, Japan Takhistov, V. ORCID:0000-0003-2647-3431 GRID:grid.410794.f GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 ROR:https://ror.org/01g5y5k24 U. Tokyo (main) Tokyo U., IPMU KEK, Tsukuba Kavli IPMU/UTokyo, Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan HighEnergyAcceleratorResearchOrganization(KEK),1-1Oho,Tsukuba,Ibaraki,305-0801,Japan High Energy Accelerator Research Organization (KEK), 1-1 Oho, 305-0801 Tsukuba, Ibaraki, Japan Kavli IPMU/UTokyo, Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, 277-8583 Kashiwa, Chiba, Japan Tanaka, H. ORCID:0009-0001-7838-0555 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Tanaka, H.K.M. GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 U. Tokyo (main) ERI, Tokyo TheUniversityofTokyo,EarthquakeResearchInstitute,1-1-1Yayoi,Bunkyo-ku,Tokyo,113-0032,Japan Earthquake Research Institute, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, 113-0032 Tokyo, Japan Tanaka, M. GRID:grid.410794.f ROR:https://ror.org/01g5y5k24 KEK, Tsukuba HighEnergyAcceleratorResearchOrganization(KEK),1-1Oho,Tsukuba,Ibaraki,305-0801,Japan High Energy Accelerator Research Organization (KEK), 1-1 Oho, 305-0801 Tsukuba, Ibaraki, Japan Tanigawa, H. ORCID:0000-0003-3681-9985 GRID:grid.26091.3c ROR:https://ror.org/02kn6nx58 Keio U. Faculty of Science and Technology, Keio University, Hiyoshi 3-14-1, 223-8522 Yokohama, Japan Tashiro, T. GRID:grid.26999.3d ROR:https://ror.org/008td3p62 Tokyo U., ICRR Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, 5-1-5 Kashiwa-no-ha, Kashiwa, Chiba 277-8582, Japan Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, 5-1-5 Kashiwa-no-ha, 277-8582 Kashiwa, Chiba, Japan Terada, K. ROR:https://ror.org/05dqf9946 ISCT, Tokyo Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, Tokyo, Tokyo 152-8551, Japan Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, 152-8551 Tokyo, Japan Thiesse, M. GRID:grid.11835.3e ROR:https://ror.org/05krs5044 ROR:https://ror.org/05krs5044 Sheffield U. U. Sheffield (main) UniversityofSheffield,DepartmentofMathematicalandPhysicalSciences,WesternBank,Sheffield,S102TN,United Kingdom Department of Mathematical and Physical Sciences, Western Bank, University of Sheffield, S10 2TN Sheffield, UK Thrane, E. ORCID:0000-0002-4418-3895 GRID:grid.1002.3 ROR:https://ror.org/013meh722 ROR:https://ror.org/02bfwt286 MIT, Cambridge, LIGO Cambridge U. (main) Monash U. ARC Centre of Excellence for Gravitational Wave Discovery, Monash University, 3800 Clayton, VIC, Australia Tiwari, D. ORCID:0000-0001-7238-8639 GRID:grid.57926.3f ROR:https://ror.org/03dzc0485 Regina U. UniversityofRegina,DepartmentofPhysics,3737WascanaParkway,Regina,S4S0A2,Canada Department of Physics, University of Regina, 3737 Wascana Parkway, S4S0A2 Regina, Canada Toledo Alarcón, J.F. ORCID:0000-0002-9782-4510 GRID:grid.157927.f ROR:https://ror.org/01460j859 Valencia, Polytechnic U. UniversitatPolitècnicadeValència(UPV),ETSIT,CaminodeVera,s/n.,Valencia,46022,Spain Universitat Politècnica de València (UPV), ETSIT, Camino de Vera, s/n., 46022 Valencia, Spain Sánchez, A.K. Tomatani ORCID:0000-0002-0920-3387 GRID:grid.419886.a ITESM, Monterrey Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501 Sur, Col: Tecnologico, Monterrey, N.L., Mexico, 64700, N.L., 64700, Mexico Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501 Sur Col: Tecnologico, 64700 Monterrey, NL, Mexico Tomiya, T. ORCID:0009-0005-5183-4712 GRID:grid.26999.3d ROR:https://ror.org/008td3p62 Tokyo U., ICRR Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, 5-1-5 Kashiwa-no-ha, Kashiwa, Chiba 277-8582, Japan Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, 5-1-5 Kashiwa-no-ha, 277-8582 Kashiwa, Chiba, Japan Tran, N. ORCID:0000-0002-6737-2955 GRID:grid.258799.8 ROR:https://ror.org/02kpeqv85 Kyoto U. KyotoUniversity,DepartmentofPhysics,KyotoUniversity,Kyoto,Kyoto606-8502,Japan Department of Physics, Kyoto University, 606-8502 Kyoto, Japan Tseng, J. ORCID:0000-0003-1731-5853 GRID:grid.4991.5 ROR:https://ror.org/052gg0110 Oxford U. Department of Physics, Clarendon Laboratory, University of Oxford, Parks Road, OX1 3PU Oxford, UK Tsuchii, R. ORCID:0009-0009-1590-6394 ROR:https://ror.org/05dqf9946 ISCT, Tokyo Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, Tokyo, Tokyo 152-8551, Japan Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, 152-8551 Tokyo, Japan Tsui, K.M. ORCID:0000-0003-2893-2881 GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 U. Tokyo (main) Tokyo U., IPMU Kavli IPMU/UTokyo, Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan Kavli IPMU/UTokyo, Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, 277-8583 Kashiwa, Chiba, Japan Tsukamoto, T. GRID:grid.410794.f GRID:grid.472503.7 ROR:https://ror.org/01g5y5k24 ROR:https://ror.org/05nf86y53 KEK, Tsukuba JAEA, Ibaraki HighEnergyAcceleratorResearchOrganization(KEK),1-1Oho,Tsukuba,Ibaraki,305-0801,Japan also at J-PARC, Ibaraki, Japan High Energy Accelerator Research Organization (KEK), 1-1 Oho, 305-0801 Tsukuba, Ibaraki, Japan J-PARC, Naka, Ibaraki, Japan Tsushima, T. GRID:grid.258799.8 ROR:https://ror.org/02kpeqv85 Kyoto U. KyotoUniversity,DepartmentofPhysics,KyotoUniversity,Kyoto,Kyoto606-8502,Japan Department of Physics, Kyoto University, 606-8502 Kyoto, Japan Tzanov, M. GRID:grid.64337.35 ROR:https://ror.org/05ect4e57 Louisiana State U. Louisiana State University, Physics & Astronomy, 202 Nicholson Hall, Baton Rouge, LA, 70803, United States of America Physics and Astronomy, Louisiana State University, 202 Nicholson Hall, 70803 Baton Rouge, LA, USA Uchida, Y. ORCID:0000-0002-8677-9945 GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London ImperialCollegeLondon,DepartmentofPhysics,BlackettLaboratory,SouthKensingtonCampus,London,SW72AZ,United Kingdom Department of Physics, Blackett Laboratory, South Kensington Campus, Imperial College London, SW7 2AZ London, UK Urano, S. GRID:grid.69566.3a Tohoku U., Astron. Inst. TohokuUniversity,FacultyofScience,Aoba,Aramaki,Aoba-ku,Sendai,980-8578,Japan Faculty of Science, Tohoku University, Aoba, Aramaki, Aoba-ku, 980-8578 Sendai, Japan Urquijo, P. ORCID:0000-0002-0887-7953 GRID:grid.1008.9 ROR:https://ror.org/01ej9dk98 Melbourne U. The University of Melbourne, School of Physics, The University of Melbourne, Melbourne, Victoria 3010, Australia School of Physics, The University of Melbourne, 3010 Melbourne, VIC, Australia Vagins, M. ORCID:0000-0002-0569-0480 GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 U. Tokyo (main) Tokyo U., IPMU Kavli IPMU/UTokyo, Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan Kavli IPMU/UTokyo, Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, 277-8583 Kashiwa, Chiba, Japan Valder, S. ORCID:0000-0002-9916-2581 GRID:grid.76978.37 ROR:https://ror.org/03gq8fr08 Rutherford STFC Rutherford Appleton Laboratory, RAL PPD and TD, Harwell Science Campus, Didcot, OX11 0QX, United Kingdom STFC Rutherford Appleton Laboratory, RAL PPD and TD, Harwell Science Campus, OX11 0QX Didcot, UK Vallmajó, O. ORCID:0000-0002-8143-4681 GRID:grid.5319.e ROR:https://ror.org/01xdxns91 Girona U. University of Girona- AMADE, Mechanical Engineering, Carrer Universitat de Girona 4, Girona, E-17003, Spain Mechanical Engineering, University of Girona-AMADE, Carrer Universitat de Girona 4, 17003 Girona, Spain Vasseur, G. ORCID:0000-0003-4009-3558 GRID:grid.460789.4 ROR:https://ror.org/05k705z76 ROR:https://ror.org/058rvd314 IRFU, Saclay IPhT, Saclay IRFU,CEA,UniversitéParis-Saclay,Gif-sur-Yvette,France Université Paris-Saclay, Gif-sur-Yvette, France Vinning, B. GRID:grid.7372.1 ROR:https://ror.org/01a77tt86 Warwick U. University of Warwick, Physics, Gibbet Hill Road, Coventry, CV312NY, United Kingdom University of Warwick, Physics, Gibbet Hill Road, CV312NY Coventry, UK Virginet, U. ORCID:0000-0002-8697-7378 GRID:grid.462844.8 Paris U., VI-VII LaboratoiredePhysiqueNucléaireetdeHautesEnergies(LPNHE),CNRS/IN2P3,SorbonneUniversité,Paris,France Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), CNRS/IN2P3, Sorbonne Université, Paris, France Vivolo, D. ORCID:0000-0002-4773-2116 GRID:grid.470211.1 ROR:https://ror.org/05vf0dg29 ROR:https://ror.org/015kcdd40 Rome III U. INFN, Naples Università della Campania "L. Vanvitelli" INFNSezionediNapoli,ViaVicinaleCupaCintia,26,Napoli,80126,Italy INFN Sezione di Napoli, Via Vicinale Cupa Cintia, 26, 80126 Naples, Italy Università della Campania L. Vanvitelli, Naples, Italy Vladisavljevic, T. ORCID:0000-0002-6508-305X GRID:grid.76978.37 ROR:https://ror.org/03gq8fr08 Rutherford STFC Rutherford Appleton Laboratory, RAL PPD and TD, Harwell Science Campus, Didcot, OX11 0QX, United Kingdom STFC Rutherford Appleton Laboratory, RAL PPD and TD, Harwell Science Campus, OX11 0QX Didcot, UK Vogelaar, R. GRID:grid.438526.e ROR:https://ror.org/02smfhw86 ROR:https://ror.org/02smfhw86 Virginia Tech., Blacksburg Virginia Tech. Virginia Tech, Blacksburg, VA 24060, United States of America Virginia Tech, 24060 Blacksburg, VA, USA Vyalkov, M. ORCID:0009-0000-6230-7292 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Wachala, Tomasz ORCID:0000-0002-5989-0429 GRID:grid.418860.3 ROR:https://ror.org/01n78t774 Cracow, INP TheHenrykNiewodniczanskiInstituteofNuclearPhysicsPolishAcademyofSciences,Cracow,Poland,ul.Radzikowskiego152,Krakow,31-342, Poland The Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, ul. Radzikowskiego 152, 31-342 Kraków, Poland Wark, D. GRID:grid.4991.5 ROR:https://ror.org/052gg0110 ROR:https://ror.org/01qz5mb56 Oxford U. Oak Ridge UniversityofOxford,DepartmentofPhysics,ClarendonLaboratory,ParksRoad,Oxford,OX13PU,UnitedKingdom Department of Physics, Clarendon Laboratory, University of Oxford, Parks Road, OX1 3PU Oxford, UK Wendell, R. ORCID:0000-0002-0969-4681 GRID:grid.258799.8 ROR:https://ror.org/02kpeqv85 Kyoto U. KyotoUniversity,DepartmentofPhysics,KyotoUniversity,Kyoto,Kyoto606-8502,Japan Department of Physics, Kyoto University, 606-8502 Kyoto, Japan Wilson, J.R. ORCID:0000-0002-6647-1193 GRID:grid.13097.3c ROR:https://ror.org/05tkyf982 ROR:https://ror.org/0220mzb33 Ben Gurion U. of Negev King's Coll. London King’sCollegeLondon,DepartmentofPhysics,King’sCollegeLondon,DepartmentofPhysics,Strand,London,WC2R2LS,UnitedKingdom Department of Physics, King’s College London, Strand, WC2R 2LS London, UK Wilson, S. GRID:grid.11835.3e ROR:https://ror.org/05krs5044 U. Sheffield (main) Department of Mathematical and Physical Sciences, Western Bank, University of Sheffield, S10 2TN Sheffield, UK Wojciechowski, M. ORCID:0000-0002-2423-4077 GRID:grid.450295.f ROR:https://ror.org/00nzsxq20 NCBJ, Swierk National Centre for Nuclear Research, ul. Soltana 7, 05-400 Otwock, Poland Wronka, S. ORCID:0000-0003-3277-138X GRID:grid.450295.f ROR:https://ror.org/00nzsxq20 NCBJ, Swierk National Centre for Nuclear Research, ul. Soltana 7, Otwock, 05-400, Poland National Centre for Nuclear Research, ul. Soltana 7, 05-400 Otwock, Poland Wuethrich, J. GRID:grid.5801.c ROR:https://ror.org/05a28rw58 Zurich, ETH ETHZurich,InstituteforParticlePhysicsandAstrophysics,Otto-Stern-Weg5,Zurich,CH-8093,Switzerland Institute for Particle Physics and Astrophysics, ETH Zurich, Otto-Stern-Weg 5, 8093 Zurich, Switzerland Xia, J. GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 ROR:https://ror.org/02chw6z69 U. Tokyo (main) Tokyo U., IPMU Kavli IPMU/UTokyo, Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan Kavli IPMU/UTokyo, Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, 277-8583 Kashiwa, Chiba, Japan Xie, Z. GRID:grid.13097.3c ROR:https://ror.org/05tkyf982 ROR:https://ror.org/0220mzb33 Ben Gurion U. of Negev King's Coll. London King’sCollegeLondon,DepartmentofPhysics,King’sCollegeLondon,DepartmentofPhysics,Strand,London,WC2R2LS,UnitedKingdom Department of Physics, King’s College London, Strand, WC2R 2LS London, UK Yamaguchi, Y. ROR:https://ror.org/05dqf9946 ISCT, Tokyo Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, Tokyo, Tokyo 152-8551, Japan Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, 152-8551 Tokyo, Japan Yamamoto, K. ORCID:0000-0003-2568-9433 ROR:https://ror.org/01hvx5h04 Osaka Metropolitan U. Osaka Metropolitan University, Department of Physics, Osaka, 558-8585 Japan Department of Physics, Osaka Metropolitan University, 558-8585 Osaka, Japan Yamashita, M. ORCID:0000-0001-9811-1929 GRID:grid.27476.30 ROR:https://ror.org/04chrp450 Nagoya U., ISEE Institute for Space-Earth Environmental Research, Nagoya University, Furocho, Chikusa-ku, 464-8602 Nagoya, Aichi, Japan Yamauchi, K. ORCID:0009-0000-0112-0619 GRID:grid.143643.7 Tokyo U. of Sci. Tokyo University of Science, Physics and Astronomy, 2641 Yamazaki, Noda, Chiba, Chiba, 278-8510, Japan Tokyo University of Science, Physics and Astronomy, 2641 Yamazaki, 278-8510 Noda, Chiba, Japan Yang, B.S. ORCID:0000-0001-5877-6096 GRID:grid.14005.30 ROR:https://ror.org/05kzjxq56 Chonnam Natl. U. Chonnam National University, 77, Yongbong-ro, Buk-gu, 61186 Gwangju, Republic of Korea Yano, T. ORCID:0000-0002-5320-1709 GRID:grid.26999.3d ROR:https://ror.org/04djymq25 Kamioka Observ. KamiokaObservatory,InstituteforCosmicRayResearch,UniversityofTokyo,Kamioka,Gifu,506-1205Japan Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, 506-1205 Hida, Gifu, Japan Yershov, N. ORCID:0000-0002-7405-1770 Yevarouskaya, U. ORCID:0000-0002-1028-4735 GRID:grid.462844.8 Paris U., VI-VII LaboratoiredePhysiqueNucléaireetdeHautesEnergies(LPNHE),CNRS/IN2P3,SorbonneUniversité,Paris,France Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), CNRS/IN2P3, Sorbonne Université, Paris, France Yokoyama, M. ORCID:0000-0003-2742-0251 GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 Tokyo U. UniversityofTokyo,DepartmentofPhysics,7-3-1Hongo,Bunkyo-ku,Tokyo,113-0033,Japan Department of Physics, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-0033 Tokyo, Japan Yoo, J. ORCID:0000-0002-3313-8239 GRID:grid.31501.36 Seoul Natl. U., Dept. Phys. Astron. Department of Physics and Astronomy, Seoul National University, Seoul 08826, Korea Department of Physics and Astronomy, Seoul National University, 08826 Seoul, Korea Yoshida, T. GRID:grid.143643.7 Tokyo U. of Sci. Tokyo University of Science, Physics and Astronomy, 2641 Yamazaki, Noda, Chiba, Chiba, 278-8510, Japan Tokyo University of Science, Physics and Astronomy, 2641 Yamazaki, 278-8510 Noda, Chiba, Japan Yoshimoto, Y. GRID:grid.26999.3d ROR:https://ror.org/057zh3y96 Tokyo U. UniversityofTokyo,DepartmentofPhysics,7-3-1Hongo,Bunkyo-ku,Tokyo,113-0033,Japan Department of Physics, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-0033 Tokyo, Japan Yoshioka, Y. ORCID:0009-0001-6381-9369 GRID:grid.27476.30 ROR:https://ror.org/04chrp450 Nagoya U., ISEE Institute for Space-Earth Environmental Research, Nagoya University, Furocho, Chikusa-ku, Nagoya, Aichi, 464-8602, Japan Institute for Space-Earth Environmental Research, Nagoya University, Furocho, Chikusa-ku, 464-8602 Nagoya, Aichi, Japan Yousefnejad, S. ORCID:0000-0002-5490-3032 GRID:grid.57926.3f ROR:https://ror.org/03dzc0485 Regina U. UniversityofRegina,DepartmentofPhysics,3737WascanaParkway,Regina,S4S0A2,Canada Department of Physics, University of Regina, 3737 Wascana Parkway, S4S0A2 Regina, Canada Yu, I. ORCID:0000-0003-1567-5548 GRID:grid.264381.a ROR:https://ror.org/04q78tk20 Sungkyunkwan U. Sungkyunkwan University, Department of Physics, Jangan-gu, Seobu-ro 2066, Suwon, 16419, Republic of Korea Department of Physics, Sungkyunkwan University, Jangan-gu, Seobu-ro 2066, 16419 Suwon, Republic of Korea Yu, T. GRID:grid.232474.4 ROR:https://ror.org/03kgj4539 TRIUMF TRIUMF, 4004 Wesbrook Mall, Vancouver, V6T 2A3, Canada TRIUMF, 4004 Wesbrook Mall, V6T 2A3 Vancouver, Canada Yuriy, O. GRID:grid.445694.e ROR:https://ror.org/02aaqv166 Taras Shevchenko U. KyivNationalUniversity Kyiv National University, Kyiv, Ukraine Zaldivar, B. ORCID:0000-0002-6313-6525 GRID:grid.5515.4 ROR:https://ror.org/01cby8j38 Madrid, Autonoma U. University Autonoma Madrid (UAM), Dept. Theoretical Physics & CIAFF, Ciudad Universitaria de Cantoblanco, Madrid, ES-28049, Spain Department of Theoretical Physics and CIAFF, Ciudad Universitaria de Cantoblanco, University Autonoma Madrid (UAM), 28049 Madrid, Spain Zalipska, J. ORCID:0000-0003-1763-7959 GRID:grid.450295.f ROR:https://ror.org/00nzsxq20 NCBJ, Swierk National Centre for Nuclear Research, ul. Soltana 7, Otwock, 05-400, Poland National Centre for Nuclear Research, ul. Soltana 7, 05-400 Otwock, Poland Zaremba, K. ORCID:0000-0002-4036-6459 GRID:grid.1035.7 ROR:https://ror.org/00y0xnp53 Warsaw U. of Tech. Warsaw University of Technology, Institute of Radioelectronics and Multimedia Technology, Nowowiejska 15/19, Warsaw, 00-665, Poland Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland Zarnecki, G. ORCID:0000-0002-5534-2652 GRID:grid.418860.3 ROR:https://ror.org/01n78t774 Cracow, INP TheHenrykNiewodniczanskiInstituteofNuclearPhysicsPolishAcademyofSciences,Cracow,Poland,ul.Radzikowskiego152,Krakow,31-342, Poland The Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences, ul. Radzikowskiego 152, 31-342 Kraków, Poland Zhao, X. ORCID:0000-0003-1348-5732 GRID:grid.5801.c ROR:https://ror.org/05a28rw58 Zurich, ETH ETHZurich,InstituteforParticlePhysicsandAstrophysics,Otto-Stern-Weg5,Zurich,CH-8093,Switzerland Institute for Particle Physics and Astrophysics, ETH Zurich, Otto-Stern-Weg 5, 8093 Zurich, Switzerland Zhong, H. ORCID:0009-0001-8281-9401 GRID:grid.31432.37 ROR:https://ror.org/03tgsfw79 Kobe U. Kobe University, Department of Physics, Graduate School of Science, 1-1 Rokkodai, Nada, Kobe, Hyogo, 657-8501, Japan Department of Physics, Graduate School of Science, Kobe University, 1-1 Rokkodai, Nada, 657-8501 Kobe, Hyogo, Japan Zhu, T. ORCID:0000-0002-0285-5358 GRID:grid.7445.2 ROR:https://ror.org/041kmwe10 Imperial Coll., London ImperialCollegeLondon,DepartmentofPhysics,BlackettLaboratory,SouthKensingtonCampus,London,SW72AZ,United Kingdom Department of Physics, Blackett Laboratory, South Kensington Campus, Imperial College London, SW7 2AZ London, UK Ziembicki, M. ORCID:0000-0002-0165-8926 GRID:grid.436383.9 Warsaw, Copernicus Astron. Ctr. Nicolaus Copernicus Astronomical Centre of the Polish Academy of Sciences, Astrocent, Rektorska 4, Warsaw, 00-614, Poland Nicolaus Copernicus Astronomical Centre of the Polish Academy of Sciences, Astrocent, Rektorska 4, 00-614 Warsaw, Poland Zietara, K. ORCID:0000-0003-4786-3682 GRID:grid.5522.0 ROR:https://ror.org/03bqmcz70 Jagiellonian U., Astron. Observ. Jagiellonian University, Astronomical Observatory, ul. Orla 171, Krakow, 30-244, Poland Astronomical Observatory, Jagiellonian University, ul. Orla 171, 30-244 Kraków, Poland Zito, M. ORCID:0009-0003-8156-2127 GRID:grid.462844.8 GRID:grid.460789.4 ROR:https://ror.org/058rvd314 Paris U., VI-VII IPhT, Saclay LaboratoiredePhysiqueNucléaireetdeHautesEnergies(LPNHE),CNRS/IN2P3,SorbonneUniversité,Paris,France Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), CNRS/IN2P3, Sorbonne Université, Paris, France Université Paris-Saclay, Gif-sur-Yvette, France Zsoldos, S. ORCID:0000-0003-0142-4844 GRID:grid.13097.3c ROR:https://ror.org/05tkyf982 ROR:https://ror.org/0220mzb33 Ben Gurion U. of Negev King's Coll. London King’sCollegeLondon,DepartmentofPhysics,King’sCollegeLondon,DepartmentofPhysics,Strand,London,WC2R2LS,UnitedKingdom Department of Physics, King’s College London, Strand, WC2R 2LS London, UK Hyper-Kamiokande Collaboration 170 2 Eur. Phys. J. C 86 2026 2733991 131582 http://cds.cern.ch/record/2932902/files/ptheta_sin223res_10yr_revised.png 00015 $1\sigma$ error on $\sin^2\theta_{23}$ as a function of data-taking time for $\sin^2\theta_{23}=0.528$ (left) and as a function of $\sin^2\theta_{23}$ value after 10 years of data taking (right). 2733992 141455 http://cds.cern.ch/record/2932902/files/wrongoctant_allsyst_10years_upto5sigma.png 00012 Sensitivity to the wrong \(\theta_{23}\) octant exclusion as a function of \(\theta_{23}\) value after 10 years of data taking (left). \(\theta_{23}\) region, as a function of data-taking time, for which 3\(\sigma\) exclusion of the wrong \(\theta_{23}\) octant can be reached (right). 2733993 162786 http://cds.cern.ch/record/2932902/files/ptheta_dcpres_yr_shaded_revised.png 00010 $1\sigma$ error on $\delta_{CP}$ as a function of data-taking time assuming $\delta_{CP}=-\pi/2$ or $0$ (left) and as a function of the value of $\delta_{CP}$ after 10 years of data taking (right). Results with different uncertainties on $\sigma(\nu_e)/\sigma(\bar\nu_e)$ are shown. 2733994 86911 http://cds.cern.ch/record/2932902/files/HK_tunedflux_nu.png 00000 Simulated flux at the far detector in neutrino mode (left) and antineutrino mode (right). 2733995 179852 http://cds.cern.ch/record/2932902/files/ptheta_dcpres_10yr_revised.png 00011 $1\sigma$ error on $\delta_{CP}$ as a function of data-taking time assuming $\delta_{CP}=-\pi/2$ or $0$ (left) and as a function of the value of $\delta_{CP}$ after 10 years of data taking (right). Results with different uncertainties on $\sigma(\nu_e)/\sigma(\bar\nu_e)$ are shown. 2733996 76634 http://cds.cern.ch/record/2932902/files/ptheta_spectrum_p_rhc_1re_channel_revised.png 00005 Reconstructed spectra of the selected samples predicted with $27\times10^{21}$ POT ($6.75\times10^{21}$ in FHC and $20.25\times10^{21}$ in RHC), corresponding to 10 years of accumulated statistics. The electron (anti)neutrino samples are separated between appearance neutrinos from oscillation (`osc') and the intrinsic electron neutrino component of the beam. 2733997 143163 http://cds.cern.ch/record/2932902/files/wrong_octant_allyears_smoothed_difsyst.png 00013 Sensitivity to the wrong \(\theta_{23}\) octant exclusion as a function of \(\theta_{23}\) value after 10 years of data taking (left). \(\theta_{23}\) region, as a function of data-taking time, for which 3\(\sigma\) exclusion of the wrong \(\theta_{23}\) octant can be reached (right). 2733998 134662 http://cds.cern.ch/record/2932902/files/ptheta_dm2res_yr_revised.png 00016 $1\sigma$ error on $\Delta m_{32}^2$ as a function of data-taking time. 2733999 74369 http://cds.cern.ch/record/2932902/files/ptheta_spectrum_p_fhc_1re_channel_revised.png 00004 Reconstructed spectra of the selected samples predicted with $27\times10^{21}$ POT ($6.75\times10^{21}$ in FHC and $20.25\times10^{21}$ in RHC), corresponding to 10 years of accumulated statistics. The electron (anti)neutrino samples are separated between appearance neutrinos from oscillation (`osc') and the intrinsic electron neutrino component of the beam. 2734000 146207 http://cds.cern.ch/record/2932902/files/ptheta_sin223res_yr_revised.png 00014 $1\sigma$ error on $\sin^2\theta_{23}$ as a function of data-taking time for $\sin^2\theta_{23}=0.528$ (left) and as a function of $\sin^2\theta_{23}$ value after 10 years of data taking (right). 2734001 180598 http://cds.cern.ch/record/2932902/files/cEllipse_all_20230922-BestFitOA2023__nue1R_nue1RD_vs_nuebar1R_syst_statbars_HK10years.png 00007 Fit results with statistical and systematic uncertainties projected on the number of electron (anti)neutrino candidates after 10 years of data taking. The expected number of events for different values of the oscillation parameters is shown for comparison. 2734002 113623 http://cds.cern.ch/record/2932902/files/s213_chi2_wRC_woRC_HK_10years_imp.png 00017 Measurement of \(\theta_{13}\): $\Delta \chi^2(\sin^2 \theta_{13})$ curves in the ``Improved syst.'' error model, after 10 years of data-taking, with (wRC) and without (woRC) the external constraint from reactor measurements. 2734003 179317 http://cds.cern.ch/record/2932902/files/CPV_truedcpvalues_proportion_wshade.png 00009 Sensitivity to CPV as a function of data-taking time: $\sin\delta_{CP}=0$ exclusion for $\delta_{CP}=-90^\circ$ or $-45^\circ$ (left) and percentage of $\delta_{CP}$ values for which $\sin\delta_{CP}=0$ can be excluded at 3$\sigma$ and at 5$\sigma$ (right). The shaded regions in these and following figures, show the span of possible sensitivities when varying the assumed systematic errors. 2734004 184499 http://cds.cern.ch/record/2932902/files/ptheta_cpexclusion_yr_shaded_revised.png 00008 Sensitivity to CPV as a function of data-taking time: $\sin\delta_{CP}=0$ exclusion for $\delta_{CP}=-90^\circ$ or $-45^\circ$ (left) and percentage of $\delta_{CP}$ values for which $\sin\delta_{CP}=0$ can be excluded at 3$\sigma$ and at 5$\sigma$ (right). The shaded regions in these and following figures, show the span of possible sensitivities when varying the assumed systematic errors. 2734005 66932 http://cds.cern.ch/record/2932902/files/ptheta_spectrum_Erec_fhc_1rmu_channel_revised.png 00002 Reconstructed spectra of the selected samples predicted with $27\times10^{21}$ POT ($6.75\times10^{21}$ in FHC and $20.25\times10^{21}$ in RHC), corresponding to 10 years of accumulated statistics. The electron (anti)neutrino samples are separated between appearance neutrinos from oscillation (`osc') and the intrinsic electron neutrino component of the beam. 2734006 80835 http://cds.cern.ch/record/2932902/files/ptheta_spectrum_p_fhc_1re1d_channel_revised.png 00006 Reconstructed spectra of the selected samples predicted with $27\times10^{21}$ POT ($6.75\times10^{21}$ in FHC and $20.25\times10^{21}$ in RHC), corresponding to 10 years of accumulated statistics. The electron (anti)neutrino samples are separated between appearance neutrinos from oscillation (`osc') and the intrinsic electron neutrino component of the beam. 2734007 848288 http://cds.cern.ch/record/2932902/files/2505.15019.pdf Fulltext 2734008 153159 http://cds.cern.ch/record/2932902/files/contour_th13_dCP_imp_combined_wRC_woRC.png 00019 Confidence level contours: $\sin^2\theta_{23}$ vs.\ $\sin^2\theta_{13}$ (top) and $\delta_{CP}$ vs.\ $\sin^2\theta_{13}$ (bottom) after 10 years of data-taking, with the ``Improved syst.'' error model, with (wRC) and without (woRC) external constraint from reactor \(\theta_{13}\) measurements. 2734009 70370 http://cds.cern.ch/record/2932902/files/ptheta_spectrum_Erec_rhc_1rmu_channel_revised.png 00003 Reconstructed spectra of the selected samples predicted with $27\times10^{21}$ POT ($6.75\times10^{21}$ in FHC and $20.25\times10^{21}$ in RHC), corresponding to 10 years of accumulated statistics. The electron (anti)neutrino samples are separated between appearance neutrinos from oscillation (`osc') and the intrinsic electron neutrino component of the beam. 2734010 90121 http://cds.cern.ch/record/2932902/files/HK_tunedflux_anu.png 00001 Simulated flux at the far detector in neutrino mode (left) and antineutrino mode (right). 2734011 160858 http://cds.cern.ch/record/2932902/files/contour_th13_th23_imp_combined_wRC_woRC.png 00018 Confidence level contours: $\sin^2\theta_{23}$ vs.\ $\sin^2\theta_{13}$ (top) and $\delta_{CP}$ vs.\ $\sin^2\theta_{13}$ (bottom) after 10 years of data-taking, with the ``Improved syst.'' error model, with (wRC) and without (woRC) external constraint from reactor \(\theta_{13}\) measurements. 2823491 2130309 http://cds.cern.ch/record/2932902/files/document.pdf Fulltext 13 ARTICLE DELETED 2932494 20250520232505.0 oai:cds.cern.ch:2932494 cerncds:FULLTEXT CERN-ACC-NOTE-2024-0030 eng Krautsztrung, Iga Maria AUTHOR|(CDS)2720146 CERN iga.maria.krautsztrung@cern.ch Safety Aspects of the Technical Galleries Consolidation Program 2024 CERN Geneva 01 Mar 2024 3 p The ongoing Technical Galleries Consolidation Project aims to address existing issues and refurbish the conditions of the galleries and their related infrastructure to the extent reasonably possible. At the core of the Project, along with the renovation of services hosted in technical galleries, is the improvement of safety to ensure the protection of the personnel and the environment, property preservation, and business continuity at CERN. In 2021, comprehensive studies were conducted to evaluate multiple safety aspects such as fire safety and emergency preparedness, access and access control, Oxygen Deficiency Hazard, ventilation, cryogenics, or the presence of pollutants. As a result, the official rules and procedures were established to address the most important safety questions that had not been previously considered within the context of technical galleries. This article aims to present the Consolidation Program and will highlight various safety aspects developed and managed within the Project. CERN EDS UNCL SzGeCERN Other Subjects SzGeCERN Engineering Emergency preparedness CERN personnel safety CERN environmental protection CERN infrastructure consolidation CERN infrastructure optimization CERN CERN INTNOTE PUBLATS Evrard, Sebastien AUTHOR|(CDS)2072413 CERN Sebastien.Evrard@cern.ch Prouteau, Olivier Bernard AUTHOR|(CDS)2071104 CERN Olivier.Bernard.Prouteau@cern.ch ATS CERN. Geneva. ATS Department http://cds.cern.ch/record/2932494/files/TG-CONS_Safety_article.pdf Access to fulltext justine.lacousse@cern.ch n 202521 12 PUBLIC INTNOTEATSPUBL NOTE 2932464 SzGeCERN 20251217215528.0 DOI Elsevier B.V. 10.1016/j.nima.2025.170341 publication oai:cds.cern.ch:2932464 cerncds:CERN HAL hal-05058151 https://inspirehep.net/api/oai2d oai:inspirehep.net:2918464 2025-05-19T13:35:44Z 2025-05-20T04:00:06Z marcxml Inspire 2918464 eng Kofi, Z Eve zubayda.eve.kofi@cern.ch Dundee U. Elsevier B.V. Preliminary aging studies of improved RPC gaps operated with HFO based mixtures 2025 4 p Elsevier B.V. Resistive Plate Chambers (RPCs) at CMS experiment are operated with a gas mixture containing around 95% Tetrafluoroethane (C2H2F4), commonly known as R-134a, which has a global warming potential (GWP) of 1430. In the framework of the CMS Upgrade project for the High Luminosity phase, new improved RPCs (iRPC) have been developed to enhance the legacy performances in the most RPC forward region of the experiment, shown in Fig. 1. To comply with European regulations and explore environmentally friendly gaseous mixture alternatives for long-term RPC operation, CMS RPC within the RPC EcoGas@GIF++ collaboration has launched a longevity study operating the chambers with HFO/CO2-based eco-friendly gas mixture. In this report, preliminary results of the aging study, after one year of irradiation at the Gamma Irradiation Facility at CERN are presented. publication Elsevier B.V. 2025 SzGeCERN Detectors and Experimental Techniques Elsevier B.V. Resistive plate chambers Elsevier B.V. Eco-friendly gas mixtures Elsevier B.V. Aging ARTICLE CERN CERN LHC CMS Tytgat, M Vrije U., Brussels Mota Amarilo, K Rio de Janeiro, CBPF Samalan, A Rio de Janeiro, CBPF Skovpen, K Rio de Janeiro, CBPF Alves, G A Rio de Janeiro State U. Coelho, E Alves Rio de Janeiro State U. da Silva, F Marujo Rio de Janeiro State U. Filho, M Barroso Ferreira Sofiya U. Da Costa, E M Sofiya U. De Jesus Damiao, D Sofiya U. Ferreira, B C Sofiya U. De Souza, S Fonseca Sofiya U. De Souza, R Gomes Sofiya U. Mundim, L Sofiya U. Nogima, H Sofiya U. Pinheiro, J P Sofiya U. Santoro, A Sofiya U. Thiel, M Sofiya U. Aleksandrov, A Sofiya, Inst. Nucl. Res. Hadjiiska, R Sofiya, Inst. Nucl. Res. Iaydjiev, P Sofiya, Inst. Nucl. Res. Shopova, M Sofiya, Inst. Nucl. Res. Sultanov, G Sofiya, Inst. Nucl. Res. Dimitrov, A Sofiya U. Litov, L Sofiya U. Pavlov, B Sofiya U. Petkov, P Sofiya U. Petrov, A Sofiya U. Shumka, E Sofiya U. Cao, P Beijing, Inst. High Energy Phys. Diao, W Beijing, Inst. High Energy Phys. Gong, W Beijing, Inst. High Energy Phys. Hou, Q Beijing, Inst. High Energy Phys. Kou, H Beijing, Inst. High Energy Phys. Liu, Z -A Beijing, Inst. High Energy Phys. Song, J Beijing, Inst. High Energy Phys. Wang, N Beijing, Inst. High Energy Phys. Zhao, J Beijing, Inst. High Energy Phys. Qian, S J Peking U. Avila, C Andes U., Bogota Trujillo, D A Barbosa Andes U., Bogota Cabrera, A Andes U., Bogota Florez, C A Andes U., Bogota Vega, J A Reyes Andes U., Bogota Aly, R Cairo U. British U. in Egypt The British University in Egypt, Cairo, Egypt Radi, A Ain Shams U., Cairo Assran, Y British U. in Egypt Crotty, I Fayoum U. Mahmoud, M A Fayoum U. Balleyguier, L IP2I, Lyon Chen, X IP2I, Lyon Combaret, C IP2I, Lyon Galbit, G IP2I, Lyon Gouzevitch, M IP2I, Lyon Grenier, G IP2I, Lyon Laktineh, I B IP2I, Lyon Luciol, A IP2I, Lyon Mirabito, L IP2I, Lyon Tromeur, W IP2I, Lyon Bagaturia, I GTU, Tbilisi Kemularia, O GTU, Tbilisi Lomidze, I GTU, Tbilisi Tsamalaidze, Z GTU, Tbilisi Amoozegar, V IPM, Tehran Boghrati, B IPM, Tehran Ebrahimi, M IPM, Tehran Esfandi, F IPM, Tehran Hosseini, Y IPM, Tehran Mohammadi Najafabadi, M IPM, Tehran Zareian, E IPM, Tehran Abbrescia, M INFN, Bari Bari U. Università di Bari, Bari, Italy De Filippis, N INFN, Bari Bari Polytechnic Politecnico di Bari, Bari, Italy Iaselli, G INFN, Bari Bari Polytechnic Politecnico di Bari, Bari, Italy Loddo, F INFN, Bari Pugliese, G INFN, Bari Bari Polytechnic Politecnico di Bari, Bari, Italy Ramos, D INFN, Bari Benussi, L Frascati Bianco, S Frascati Meola, S Frascati Piccolo, D Frascati Buontempo, S INFN, Naples Carnevali, F INFN, Naples Naples U. Università di Napoli’Federico II’, Napoli, Italy Lista, L INFN, Naples Naples U. Università di Napoli’Federico II’, Napoli, Italy Paolucci, P INFN, Naples Fienga, F Naples U. Braghieri, A INFN, Pavia Montagna, P INFN, Pavia Pavia U. Università di Pavia, Pavia, Italy Riccardi, C INFN, Pavia Pavia U. Università di Pavia, Pavia, Italy Salvini, P INFN, Pavia Vitulo, P INFN, Pavia Pavia U. Università di Pavia, Pavia, Italy Asilar, E Hanyang U. Kim, T J Hanyang U. Ryou, Y Hanyang U. Choi, S Korea U. Hong, B Korea U. Lee, K S Korea U. Goh, J Kyung Hee U. Shin, J Kyung Hee U. Lee, Y Sungkyunkwan U. Pedraza, I Puebla U., Mexico Estrada, C Uribe Puebla U., Mexico Castilla-Valdez, H UPII, IPN Lopez-Fernandez, R UPII, IPN Hernández, A Sánchez UPII, IPN García, M Ramírez Iberoamericana U. Guadarrama, D L Ramirez Iberoamericana U. Shah, M A Iberoamericana U. Vazquez, E Iberoamericana U. Zaganidis, N Iberoamericana U. Ahmad, A NCP, Islamabad Asghar, M I NCP, Islamabad Hoorani, H R NCP, Islamabad Muhammad, S NCP, Islamabad Eysermans, J MIT CMS Collaboration 170341 publication Nucl. Instrum. Methods Phys. Res., A 1077 2025 13 2921396 ARTICLE DELETED 2932421 20250520144958.0 oai:cds.cern.ch:2932421 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:TALK cerncds:TALK:FULLTEXT cerncds:CERN CERN-ACC-SLIDES-2024-0002 eng Krautsztrung, Iga Maria AUTHOR|(CDS)2720146 CERN iga.maria.krautsztrung@cern.ch Evrard, Sebastien AUTHOR|(CDS)2072413 CERN Sebastien.Evrard@cern.ch Lemetayer, Mathieu AUTHOR|(CDS)2631324 CERN mathieu.lemetayer@cern.ch Prouteau, Olivier Bernard AUTHOR|(CDS)2071104 CERN Olivier.Bernard.Prouteau@cern.ch Technical Galleries Consolidation Program : Safety aspects 2024 CERN Geneva 11 Jun 2024 22 p SLIDES The Technical Galleries Consolidation Project (TG-CONS) at CERN is dedicated to refurbishing the galleries and their related infrastructure while giving utmost priority to safety enhancements. The project seeks to safeguard personnel, protect the environment, preserve equipment, and ensure uninterrupted operations at CERN. This article provides an overview of the TG-CONS program, emphasizing its focus on safety improvements and its commitment to environmental sustainability. The technical galleries provide essential utilities to CERN's office buildings and technical facilities, such as heating, water supply, compressed air, gas pipes, and cables. Their maintenance has not been treated as a priority over the years, resulting in equipment deterioration and potential risks. Spanning over 12 years, the TG-CONS project aims to enhance the accessibility, maintainability, and overall safety of the technical infrastructure. The project collaborates with other consolidation initiatives at CERN, striving for mutual benefits and creating synergies that allow the optimization of efforts and maximize progress. This holistic approach not only guarantees safety and reliability of CERN's technical galleries but also establishes a robust foundation for the organization's future endeavors. Safety improvements stand as a central pillar of the project, addressing crucial aspects such as fire safety, emergency preparedness, and access control. TG-CONS adapts to modern safety standards by conducting comprehensive studies and answering safety questions that have not been considered before within the context of technical galleries. New safety measures are being introduced, encompassing an alert and alert-triggering system, access control systems, and individual safety measures for personnel entering the galleries. In addition, the access points are reviewed and refurbished, an evacuation plan has been developed, and emergency signs and lights are being installed. The document provides insight into the results of the carried-out studies, lessons learned, and the implemented safety improvements that can serve as an example for other consolidation projects within CERN and beyond. CERN EDS UNCL Emergency preparedness CERN personnel safety CERN environmental protection CERN infrastructure consolidation CERN infrastructure optimization CERN SzGeCERN Engineering SzGeCERN Other Subjects CERN PREPRINT Not applicable Not applicable ATS 2732422 3624460 http://cds.cern.ch/record/2932421/files/CERN-ACC-SLIDES-2024-0002.pdf 2732422 314512 http://cds.cern.ch/record/2932421/files/CERN-ACC-SLIDES-2024-0002.jpg?subformat=icon-640 icon-640 2732422 357312 http://cds.cern.ch/record/2932421/files/CERN-ACC-SLIDES-2024-0002.jpg?subformat=icon-700 icon-700 2732422 418593 http://cds.cern.ch/record/2932421/files/CERN-ACC-SLIDES-2024-0002.jpg?subformat=icon-1440 icon-1440 2732422 87031 http://cds.cern.ch/record/2932421/files/CERN-ACC-SLIDES-2024-0002.gif?subformat=icon icon 2732422 92799 http://cds.cern.ch/record/2932421/files/CERN-ACC-SLIDES-2024-0002.jpg?subformat=icon-180 icon-180 justine.lacousse@cern.ch n 202521 11 2932417 tokyo20240610 PUBLIC PREPRINT ConferencePaper TALK Slides 2932406 20260119211849.0 oai:cds.cern.ch:2932406 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN CERN-ACC-POSTER-2025-0001 eng AUTHOR|(CDS)2720146 Krautsztrung, Iga Maria iga.maria.krautsztrung@cern.ch CERN Safety Aspects of the Technical Galleries Consolidation Program 2025 Geneva CERN 09 Apr 2025 3 p The distribution of services throughout a large scientific facility like CERN relies on a 14-km network of technical galleries. They provide essential utilities to CERN's office buildings and technical facilities, including hot water, drinking water, compressed air, gas, and electrical supply. The ongoing Technical Galleries Consolidation Project aims to address existing issues and refurbish the conditions of the galleries and their related infrastructure to the extent reasonably possible. [1] At the core of the Project, alongside the renovation of services hosted in technical galleries, is the improvement of safety to ensure the protection of the personnel and the environment, property preservation, and business continuity at CERN. In 2021, comprehensive studies were conducted to evaluate multiple safety aspects. As a result, the official rules and procedures were established to address the most important safety questions that had not been previously considered within the context of technical galleries. Unlike other projects at CERN, the Technical Galleries Consolidation Project addresses the existing systems which were built in the late fifties. Since then, the safety rules have changed significantly. This is why TG-CONS is a unique opportunity to conduct detailed and holistic studies on many safety aspects that had not previously been considered. CERN EDS UNCL SzGeCERN Engineering SzGeCERN Other Subjects CERN Emergency preparedness CERN personnel safety CERN environmental protection CERN infrastructure consolidation CERN infrastructure optimization CERN Not applicable Not applicable AUTHOR|(CDS)2072413 Evrard, Sebastien Sebastien.Evrard@cern.ch CERN AUTHOR|(CDS)2071104 Prouteau, Olivier Bernard Olivier.Bernard.Prouteau@cern.ch CERN ATS 2732401 517288 http://cds.cern.ch/record/2932406/files/CERN-ACC-POSTER-2025-0001.pdf 2732401 315145 http://cds.cern.ch/record/2932406/files/CERN-ACC-POSTER-2025-0001.jpg?subformat=icon-640 icon-640 2732401 357036 http://cds.cern.ch/record/2932406/files/CERN-ACC-POSTER-2025-0001.jpg?subformat=icon-700 icon-700 2732401 419300 http://cds.cern.ch/record/2932406/files/CERN-ACC-POSTER-2025-0001.jpg?subformat=icon-1440 icon-1440 2732401 87336 http://cds.cern.ch/record/2932406/files/CERN-ACC-POSTER-2025-0001.gif?subformat=icon icon 2732401 92773 http://cds.cern.ch/record/2932406/files/CERN-ACC-POSTER-2025-0001.jpg?subformat=icon-180 icon-180 justine.lacousse@cern.ch n 202521 80 2932405 reykjavík20250409 PUBLIC POSTER 2932270 20250516230651.0 oai:cds.cern.ch:2932270 cerncds:FULLTEXT ATL-SOFT-SLIDE-2025-156 eng ATL-COM-SOFT-2025-014 The ATLAS collaboration The environmental impact, carbon and sustainability of computing in the ATLAS experiment 2025 Marshall, Zach AUTHOR|(CDS)2068123 Lawrence Berkeley National Lab. (US) zach.marshall@cern.ch CERN Geneva 16 May 2025 mult. p ATLAS, one of two general-purpose experiments at the Large Hadron Collider (LHC), operates a large internationally-distributed computing infrastructure, including over 1 EB of managed data on disk and tape and almost one million simultaneously running CPU cores. Upgrades for the High-Luminosity LHC will increase the required computing resources by a factor of 3–4 by the beginning of the 2030s, and by an order of magnitude before the conclusion of data taking at the beginning of the 2040s. These resources are spread over around 100 computing sites worldwide. Efforts are underway within the experiment to evaluate and mitigate various aspects of the environmental impact of the sites, with the additional long-term goal of making recommendations to the sites that will significantly reduce the total expected environmental impact in the HL-LHC era. These efforts take several forms: building awareness in the experiment community, adjusting aspects of the computing policy, and modifications of data center configurations, either in ways that take advantage of particular features of ATLAS work or in generic ways that reduce the environmental impact of the computing. This contribution describes the ongoing investigations and approaches that have already provided useful, and actionable outcomes that can be implemented today. SLIDE CERN CDS-Invenio WebSubmit Particle Physics - Experiment SzGeCERN Software SzGeCERN CERN ATLAS CERN Computing CERN Sustainability CERN INTNOTE PRIVATLAS PUBLATLASSLIDE CERN LHC ATLAS PH-EP ATLAS Collaboration http://cds.cern.ch/record/2931216 Original Communication (restricted to ATLAS) 2731668 3688362 http://cds.cern.ch/record/2932270/files/ATL-SOFT-SLIDE-2025-156.pdf zach.marshall@cern.ch n 202570 91 PUBLIC 000786694CER PUBLATLASSLIDE Slides 2932136 SzGeCERN 20260119155749.0 DOI International Society for Optics and Photonics 10.1117/12.3061319 oai:cds.cern.ch:2932136 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2905246 2025-05-14T08:42:30Z 2025-05-15T04:00:40Z marcxml Inspire 2905246 eng Gonzales, Lorenzo Maribor U. International Society for Optics and Photonics TRISAT-R: flight experience in MEO 2025 9 p International Society for Optics and Photonics This paper highlights the technical achievements and presents the in-flight experience of one of the first successful 3U nanosatellite mission in medium earth orbit (MEO) in Europe, TRISAT-R. TRISAT-R is an institutional non-commercial nanosatellite mission primed by the University of Maribor under the contract with ESA and in cooperation with CERN and Slovenian company SkyLabs. The primary mission objective is measurement of ionizing radiation and characterization of the space environment, consolidating the environmental models by comparing the simulated high energy particles particle environment with the measured data in orbit. The radiation measurements are conducted with several scientific payloads to monitor the Single Event Effects and Total Ionizing Dose. The secondary mission objectives are several In-Orbit demonstrations to show new solutions for nanosatellite component miniaturization, testing new design concepts, and demonstrating new Radiation Hardened by Design mitigation techniques for protection of high-performance and high-density electronic components, and targeting the upcoming era of Artificial Intelligence in space applications. Additionally, the satellite was equipped with two highly miniaturized experimental COTS cameras capturing the black Sun effect, which is a consequence of pixel spillover due to Sun’s energy saturation. These cameras captured a view of the Earth from MEO orbit by the 3U nanosatellite. CC-BY 3.0 https://creativecommons.org/licenses/by/3.0/ The Author(s) 2025 For annual report SzGeCERN Detectors and Experimental Techniques ARTICLE CERN Benamar, Kenza European Space Agency Santin, Giovanni European Space Agency Danzeca, Salvatore CERN Kramberger, Iztok Maribor U. C24-05-26.2 310-318 Proc.SPIE Int.Soc.Opt.Eng. 13546 2025 2731447 566608 http://cds.cern.ch/record/2932136/files/135460T.pdf h 202602 11 2952105 palmademallorca20240526 ARTICLE ConferencePaper 2932030 SzGeCERN 20251217181146.0 DOI Elsevier B.V. 10.1016/j.nima.2025.170482 publication oai:cds.cern.ch:2932030 cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2912787 2025-05-13T17:01:53Z 2025-05-14T04:16:58Z marcxml Inspire 2912787 eng Su, Shixiang shixiang.su@cern.ch Hefei, CUST Elsevier B.V. Performance of the ATLAS RPC detector and Level-1 muon barrel trigger with a new CO2-based gas mixture 2025 4 p Elsevier B.V. Resistive Plate Chambers (RPCs) are used in the ATLAS experiment for trigger on muons in the barrel region. The current RPC detectors operate with a Freon-based gas mixture containing C2H2F4 and SF6, both of which have a high global warming potential. To reduce environmental impact and operating costs, it is essential to explore alternative, environmentally friendly gas mixtures. In August 2023, after the completion of proton–proton data-taking, the ATLAS collaboration replaced the standard gas mixture (94.7% C2H2F4, 5.0% i-C4H10, 0.3% SF6) with a new mixture with CO2 added: 64% C2H2F4, 30% CO2, 5.0% i-C4H10, 1% SF6. This paper presents the performance of the RPC detector with the new mixture, focusing on detector current density, cluster size, and the efficiency of the Level-1 muon barrel trigger system. •RPC operates with a new gas mixture adding 30% CO2 at the end of 2023.•New gas mixture increases current ∼17% and yields a similar cluster size.•Level-1 muon barrel trigger performs consistently in 2023–2024 and Run 2–3. publication Elsevier B.V. 2025 For annual report SzGeCERN Detectors and Experimental Techniques Elsevier B.V. RPC performance Elsevier B.V. New CO Elsevier B.V. -based gas mixture Elsevier B.V. HV correction ARTICLE CERN CERN LHC ATLAS ATLAS Collaboration 170482 publication Nucl. Instrum. Methods Phys. Res., A 1076 C24-09-09.14 2025 13 2920470 170482 SantiagodeCompostela20240909 ARTICLE ConferencePaper 2931959 20260417054536.0 oai:cds.cern.ch:2931959 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI arXiv 10.1140/epjc/s10052-025-14976-3 publication Inspire 2920993 arXiv arXiv:2505.08530 hep-ex arXiv:reportnumber CERN-EP-2025-105 eng ATLAS-SOFT-2024-01-003 Aad, Georges INSPIRE-00210391 ORCID:0000-0002-6665-4934 ROR:https://ror.org/00fw8bp86 GRID:grid.470046.1 Marseille, CPPM CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France ATLAS Collaboration The environmental impact, carbon emissions and sustainability of computing in the ATLAS experiment 2025-12-09 2025-12 Geneva CERN 13 May 2025 51 p arXiv 51 pages in total, author list starting page 33, 10 figures, published in EPJC. All figures including auxiliary figures are available at https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/SOFT-2024-01 ATLAS, a general-purpose experiment at the Large Hadron Collider (LHC), operates a large internationally-distributed computing infrastructure, including over $10^6$ TB of managed data on disk and tape and almost one million simultaneously running CPU cores. Upgrades for the High-Luminosity LHC (HL-LHC) will increase the required computing resources by a factor of 3-4 by the beginning of the 2030s, and by an order of magnitude before the conclusion of data taking at the beginning of the 2040s. These resources are spread over around 100 computing sites worldwide. Efforts are underway within the experiment to evaluate and mitigate various aspects of the environmental impact of the sites, with the additional long-term goal of making recommendations to the sites that will significantly reduce the total expected environmental impact in the HL-LHC era. These efforts take several forms: building awareness in the experiment community, adjusting aspects of the computing policy, and modifications of data center configurations, either in ways that take advantage of particular features of ATLAS workloads or in generic ways that reduce the environmental impact of the computing resources. This paper describes the ongoing investigations and approaches that have already provided useful, and actionable outcomes that can be implemented today. Springer ATLAS, a general-purpose experiment at the Large Hadron Collider (LHC), makes use of a large internationally-distributed computing infrastructure, including over $10^6$ TB of managed data on disk and tape and almost one million simultaneously running CPU cores. Upgrades for the High-Luminosity LHC (HL-LHC) will increase the required computing resources by a factor of 3–4 by the beginning of the 2030s, and by an order of magnitude before the conclusion of data taking at the beginning of the 2040s. These resources are spread over around 100 computing sites worldwide. Efforts are underway within the experiment to evaluate and mitigate various aspects of the environmental impact of the sites, with the additional long-term goal of making recommendations to the sites that will significantly reduce the total expected environmental impact in the HL-LHC era. These efforts take several forms: building awareness in the experiment community, adjusting aspects of the computing policy, and modifications of data center configurations, either in ways that take advantage of particular features of ATLAS workloads or in generic ways that reduce the environmental impact of the computing resources. This paper describes the ongoing investigations and approaches that have already provided useful and actionable outcomes. arXiv ATLAS, a general-purpose experiment at the Large Hadron Collider (LHC), makes use of a large internationally-distributed computing infrastructure, including over $10^6$ TB of managed data on disk and tape and almost one million simultaneously running CPU cores. Upgrades for the High-Luminosity LHC (HL-LHC) will increase the required computing resources by a factor of 3-4 by the beginning of the 2030s, and by an order of magnitude before the conclusion of data taking at the beginning of the 2040s. These resources are spread over around 100 computing sites worldwide. Efforts are underway within the experiment to evaluate and mitigate various aspects of the environmental impact of the sites, with the additional long-term goal of making recommendations to the sites that will significantly reduce the total expected environmental impact in the HL-LHC era. These efforts take several forms: building awareness in the experiment community, adjusting aspects of the computing policy, and modifications of data center configurations, either in ways that take advantage of particular features of ATLAS workloads or in generic ways that reduce the environmental impact of the computing resources. This paper describes the ongoing investigations and approaches that have already provided useful and actionable outcomes. preprint CC-BY-4.0 http://creativecommons.org/licenses/by/4.0/ publication CC-BY-4.0 Springer SCOAP3 http://creativecommons.org/licenses/by/4.0/ preprint CERN 2025 publication CERN for the benefit of the ATLAS Collaboration 2025 SzGeCERN Computing and Computers SzGeCERN Particle Physics - Experiment CERN Sustainability CERN Computing ATLAS_Papers CERN ARTICLE CERN LHC ATLAS Aakvaag, Erlend ORCID:0000-0001-7616-1554 ROR:https://ror.org/03zga2b32 GRID:grid.7914.b Bergen U. Department for Physics and Technology, University of Bergen, Bergen, Norway Abbott, Braden Keim INSPIRE-00060668 ORCID:0000-0002-5888-2734 ROR:https://ror.org/02aqsxs83 GRID:grid.266900.b Oklahoma U. Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, OK, USA Abdelhameed, Sara ORCID:0000-0002-0287-5869 ROR:https://ror.org/00e5k0821 GRID:grid.440573.1 New York U., Abu Dhabi New York University Abu Dhabi, Abu Dhabi, United Arab Emirates Abeling, Kira ORCID:0000-0002-1002-1652 ROR:https://ror.org/01y9bpm73 GRID:grid.7450.6 Gottingen U., II. Phys. Inst. II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany Abicht, Nils Julius ORCID:0000-0001-5763-2760 ROR:https://ror.org/01k97gp34 GRID:grid.5675.1 Dortmund U. Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany Abidi, Haider INSPIRE-00537233 ORCID:0000-0002-8496-9294 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Aboelela, Mohammed ORCID:0009-0003-6578-220X ROR:https://ror.org/042tdr378 GRID:grid.263864.d Southern Methodist U. Physics Department, Southern Methodist University, Dallas, TX, USA Aboulhorma, Asmaa ORCID:0000-0002-9987-2292 ROR:https://ror.org/00r8w8f84 GRID:grid.31143.34 Mohammed V U., Agdal Faculté des sciences, Université Mohammed V, Rabat, Morocco Abramowicz, Halina INSPIRE-00060790 ORCID:0000-0001-5329-6640 ROR:https://ror.org/04mhzgx49 GRID:grid.12136.37 Tel Aviv U. Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv, Israel Abulaiti, Yiming INSPIRE-00339001 ORCID:0000-0003-0403-3697 ROR:https://ror.org/0190ak572 GRID:grid.137628.9 New York U. Department of Physics, New York University, New York, NY, USA Acharya, Bobby Samir INSPIRE-00060856 ORCID:0000-0002-8588-9157 ROR:https://ror.org/009gyvm78 GRID:grid.419330.c GRID:grid.13097.3c INFN, Udine ICTP, Trieste King's Coll. London INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy ICTP, Trieste, Italy Department of Physics, King’s College London, London, UK Ackermann, Anke ORCID:0000-0003-4699-7275 ROR:https://ror.org/038t36y30 GRID:grid.7700.0 Kirchhoff Inst. Phys. Kirchhoff-Institut für Physik, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Adam Bourdarios, Claire INSPIRE-00068610 ORCID:0000-0002-2634-4958 GRID:grid.433124.3 ROR:https://ror.org/049nhh297 GRID:grid.450330.1 Annecy, LAPP LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France Adamczyk, Leszek INSPIRE-00172476 ORCID:0000-0002-5859-2075 ROR:https://ror.org/00bas1c41 GRID:grid.9922.0 AGH-UST, Cracow AGH University of Krakow, Faculty of Physics and Applied Computer Science, Krakow, Poland Addepalli, Sagar ORCID:0000-0002-2919-6663 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Addison, Matthew John ORCID:0000-0002-8387-3661 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Adelman, Jahred INSPIRE-00041460 ORCID:0000-0002-1041-3496 ROR:https://ror.org/012wxa772 GRID:grid.261128.e Northern Illinois U. Department of Physics, Northern Illinois University, DeKalb, IL, USA Adiguzel, Aytul INSPIRE-00307180 ORCID:0000-0001-6644-0517 ROR:https://ror.org/03a5qrr21 GRID:grid.9601.e Istanbul U. Department of Physics, Istanbul University, Istanbul, Türkiye Adye, Tim INSPIRE-00060997 ORCID:0000-0003-0627-5059 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Rutherford Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Affolder, A.A. ORCID:0000-0002-9058-7217 GRID:grid.205975.c ROR:https://ror.org/03s65by71 UC, Santa Cruz, Inst. Part. Phys. Santa Cruz Institute for Particle Physics, University of California Santa Cruz, Santa Cruz, CA, USA Affolder, Tony INSPIRE-00061029 ORCID:0000-0002-9058-7217 ROR:https://ror.org/03s65by71 GRID:grid.205975.c UC, Santa Cruz Afik, Yoav INSPIRE-00564969 ORCID:0000-0001-8102-356X ROR:https://ror.org/024mw5h28 GRID:grid.170205.1 Chicago U., EFI Enrico Fermi Institute, University of Chicago, Chicago, IL, USA Agaras, Merve Nazlim INSPIRE-00508017 ORCID:0000-0002-4355-5589 ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Aggarwal, Anamika INSPIRE-00652694 ORCID:0000-0002-1922-2039 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Agheorghiesei, Catalin INSPIRE-00534492 ORCID:0000-0003-3695-1847 ROR:https://ror.org/022kvet57 GRID:grid.8168.7 Cuza U., Iasi Department of Physics, Alexandru Ioan Cuza University of Iasi, Iasi, Romania Ahmadov, Faig INSPIRE-00332895 ORCID:0000-0003-3644-540X GRID:grid.9132.9 GRID:grid.435347.2 ROR:https://ror.org/006m4q736 GRID:grid.423902.e CERN Baku, Inst. Phys. Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Institute of Physics, Azerbaijan Academy of Sciences, Baku, Azerbaijan Ahuja, Sudha ORCID:0000-0003-4368-9285 ROR:https://ror.org/04g2vpn86 GRID:grid.4970.a Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham, UK Ai, Xiaocong INSPIRE-00446718 ORCID:0000-0003-3856-2415 GRID:grid.207374.5 ROR:https://ror.org/04ypx8c21 Zhengzhou U. School of Physics, Zhengzhou University, Zhengzhou, China Aielli, Giulio INSPIRE-00210494 ORCID:0000-0002-0573-8114 GRID:grid.470219.9 ROR:https://ror.org/02p77k626 GRID:grid.6530.0 Rome U., Tor Vergata INFN Sezione di Roma Tor Vergata, Rome, Italy Dipartimento di Fisica, Università di Roma Tor Vergata, Rome, Italy Aikot, Arya ORCID:0000-0001-6578-6890 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Ait Tamlihat, Malak ORCID:0000-0002-1322-4666 ROR:https://ror.org/00r8w8f84 GRID:grid.31143.34 Mohammed V U., Agdal Faculté des sciences, Université Mohammed V, Rabat, Morocco Aitbenchikh, Brahim ORCID:0000-0002-8020-1181 ROR:https://ror.org/001q4kn48 GRID:grid.412148.a Casablanca U. Faculté des Sciences Ain Chock, Université Hassan II de Casablanca, Casablanca, Morocco Akbiyik, Melike ORCID:0000-0002-7342-3130 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Akesson, Torsten INSPIRE-00061248 ORCID:0000-0003-4141-5408 ROR:https://ror.org/012a77v79 GRID:grid.4514.4 Lund U. Fysiska institutionen, Lunds universitet, Lund, Sweden Akimov, Andrei INSPIRE-00210520 ORCID:0000-0002-2846-2958 ROR:https://ror.org/05qghxh33 GRID:grid.36425.36 SUNY, Stony Brook Departments of Physics and Astronomy, Stony Brook University, Stony Brook, NY, USA Akiyama, Daiya ORCID:0000-0001-7623-6421 ROR:https://ror.org/00ntfnx83 GRID:grid.5290.e Waseda U. Waseda University, Tokyo, Japan Akolkar, Nilima Nilesh ORCID:0000-0003-3424-2123 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Aktas, Sina ORCID:0000-0002-8250-6501 ROR:https://ror.org/03z9tma90 GRID:grid.11220.30 Bogazici U. Department of Physics, Bogazici University, Istanbul, Türkiye Alberghi, Gian Luigi INSPIRE-00366589 ORCID:0000-0003-2388-987X GRID:grid.470193.8 ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Sezione di Bologna, Bologna, Italy Albert, Justin INSPIRE-00145104 ORCID:0000-0003-0253-2505 ROR:https://ror.org/04s5mat29 GRID:grid.143640.4 Victoria U. Department of Physics and Astronomy, University of Victoria, Victoria, BC, Canada Alberti, Una Helena ORCID:0009-0006-2568-886X ROR:https://ror.org/02k7v4d05 GRID:grid.5734.5 Bern U., LHEP Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics, University of Bern, Bern, Switzerland Albicocco, Pietro INSPIRE-00549776 ORCID:0000-0001-6430-1038 ROR:https://ror.org/049jf1a25 GRID:grid.463190.9 Frascati INFN e Laboratori Nazionali di Frascati, Frascati, Italy Albouy, Guillaume Lucas ORCID:0000-0003-0830-0107 GRID:grid.5676.2 ROR:https://ror.org/03f0apy98 GRID:grid.472561.3 LPSC, Grenoble LPSC, Université Grenoble Alpes, CNRS/IN2P3, Grenoble INP, Grenoble, France Alderweireldt, Sara INSPIRE-00245271 ORCID:0000-0002-8224-7036 ROR:https://ror.org/01nrxwf90 GRID:grid.4305.2 Edinburgh U. SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK Alegria, Zackary Lee ORCID:0000-0002-1977-0799 ROR:https://ror.org/01g9vbr38 GRID:grid.65519.3e Oklahoma State U. Department of Physics, Oklahoma State University, Stillwater, OK, USA Aleksa, Martin INSPIRE-00210567 ORCID:0000-0002-1936-9217 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Aleksandrov, I.N. INSPIRE-00210579 ORCID:0000-0001-7381-6762 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Alexa, Calin INSPIRE-00061476 ORCID:0000-0003-0922-7669 ROR:https://ror.org/00d3pnh21 GRID:grid.443874.8 Bucharest, IFIN-HH Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania Alexopoulos, Theodoros INSPIRE-00061543 ORCID:0000-0002-8977-279X ROR:https://ror.org/03cx6bg69 GRID:grid.4241.3 Natl. Tech. U., Athens Physics Department, National Technical University of Athens, Zografou, Greece Alfonsi, Fabrizio ORCID:0000-0002-0966-0211 GRID:grid.470193.8 ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Sezione di Bologna, Bologna, Italy Algren, Malte ORCID:0000-0003-1793-1787 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Alhroob, Muhammad INSPIRE-00210593 ORCID:0000-0001-7569-7111 ROR:https://ror.org/01a77tt86 GRID:grid.7372.1 Warwick U. Department of Physics, University of Warwick, Coventry, UK Ali, Babar INSPIRE-00518637 ORCID:0000-0001-8653-5556 ROR:https://ror.org/03kqpb082 GRID:grid.6652.7 Prague, Tech. U. Czech Technical University in Prague, Prague, Czech Republic Ali, Hanadi ORCID:0000-0002-4507-7349 GRID:grid.9835.7 GRID:grid.440750.2 ROR:https://ror.org/01g3dya06 GRID:grid.472314.7 Lancaster U. N/A Physics Department, Lancaster University, Lancaster, UK Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia Ali, Shahzad ORCID:0000-0001-5216-3133 GRID:grid.213902.b ROR:https://ror.org/03enmdz06 GRID:grid.253558.c Fresno State California State University, Long Beach, CA, USA Alibocus, Samuel William ORCID:0000-0002-9377-8852 ROR:https://ror.org/04xs57h96 GRID:grid.10025.36 Liverpool U. Oliver Lodge Laboratory, University of Liverpool, Liverpool, UK Aliev, Malik INSPIRE-00210605 ORCID:0000-0002-9012-3746 ROR:https://ror.org/04z6c2n17 GRID:grid.412988.e Johannesburg U. Department of Mechanical Engineering Science, University of Johannesburg, Johannesburg, South Africa Alimonti, Gianluca INSPIRE-00004775 ORCID:0000-0002-7128-9046 GRID:grid.470206.7 ROR:https://ror.org/04w4m6z96 INFN, Milan INFN Sezione di Milano, Milan, Italy Alkakhi, Wael ORCID:0000-0001-9355-4245 ROR:https://ror.org/01y9bpm73 GRID:grid.7450.6 Gottingen U., II. Phys. Inst. II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany Allaire, Corentin INSPIRE-00574032 ORCID:0000-0003-4745-538X GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Allbrooke, Benedict INSPIRE-00235773 ORCID:0000-0002-5738-2471 ROR:https://ror.org/00ayhx656 GRID:grid.12082.39 Sussex U. Department of Physics and Astronomy, University of Sussex, Brighton, UK Allen, Jonny ORCID:0000-0001-9398-8158 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Allen, Julia Frances ORCID:0000-0001-9990-7486 ROR:https://ror.org/01nrxwf90 GRID:grid.4305.2 Edinburgh U. SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK Allport, Philip Patrick INSPIRE-00147775 ORCID:0000-0001-7303-2570 ROR:https://ror.org/03angcq70 GRID:grid.6572.6 Birmingham U. School of Physics and Astronomy, University of Birmingham, Birmingham, UK Aloisio, Alberto INSPIRE-00210642 ORCID:0000-0002-3883-6693 GRID:grid.470211.1 ROR:https://ror.org/05290cv24 GRID:grid.4691.a Naples U. INFN Sezione di Napoli, Naples, Italy Dipartimento di Fisica, Università di Napoli, Naples, Italy Alonso, Francisco INSPIRE-00291080 ORCID:0000-0001-9431-8156 GRID:grid.450288.3 ROR:https://ror.org/01tjs6929 GRID:grid.9499.d La Plata U. Instituto de Física La Plata, Universidad Nacional de La Plata and CONICET, La Plata, Argentina Alpigiani, Cristiano INSPIRE-00358374 ORCID:0000-0002-7641-5814 GRID:grid.34477.33 ROR:https://ror.org/03d17d270 GRID:grid.504155.0 Washington U., Seattle Department of Physics, University of Washington, Seattle, WA, USA Alsolami, Zainab Mohammad K. ORCID:0000-0002-3785-0709 GRID:grid.9835.7 ROR:https://ror.org/01g3dya06 GRID:grid.472314.7 Lancaster U. Physics Department, Lancaster University, Lancaster, UK Alvarez Fernandez, Adrian ORCID:0000-0003-1525-4620 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Alves Cardoso, Mario ORCID:0000-0002-0042-292X ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Alviggi, Mariagrazia INSPIRE-00210678 ORCID:0000-0003-0026-982X GRID:grid.470211.1 ROR:https://ror.org/05290cv24 GRID:grid.4691.a Naples U. INFN Sezione di Napoli, Naples, Italy Dipartimento di Fisica, Università di Napoli, Naples, Italy Aly, Mohamed ORCID:0000-0003-3043-3715 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Do Amaral Coutinho, Yara INSPIRE-00074762 ORCID:0000-0002-1798-7230 ROR:https://ror.org/03490as77 GRID:grid.8536.8 Rio de Janeiro Federal U. Universidade Federal do Rio de Janeiro COPPE/EE/IF, Rio de Janeiro, Brazil Ambler, Alessandro INSPIRE-00646500 ORCID:0000-0003-2184-3480 ROR:https://ror.org/01pxwe438 GRID:grid.14709.3b McGill U. Department of Physics, McGill University, Montreal, QC, Canada Amelung, Christoph INSPIRE-00210696 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Amerl, Maximilian ORCID:0000-0003-1155-7982 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Ames, Christoph ORCID:0000-0002-2126-4246 ROR:https://ror.org/05591te55 GRID:grid.5252.0 Munich U. Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany Amezza, Thiziri ORCID:0009-0008-5694-4752 GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Amidei, Dante INSPIRE-00061910 ORCID:0000-0002-6814-0355 ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Amini, Baktash ORCID:0000-0002-4692-0369 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Amirie, Kyle ORCID:0000-0002-8029-7347 ROR:https://ror.org/03dbr7087 GRID:grid.17063.33 Toronto U. Department of Physics, University of Toronto, Toronto, ON, Canada Amirkhanov, Artem ORCID:0000-0001-5421-7473 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Amor Dos Santos, Susana Patricia INSPIRE-00291676 ORCID:0000-0001-7566-6067 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 LIP, Lisbon Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Amos, Kieran Robert ORCID:0000-0003-1757-5620 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Amperiadou, Dimitra ORCID:0000-0003-0205-6887 ROR:https://ror.org/02j61yw88 GRID:grid.4793.9 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece An, Shiwen ROR:https://ror.org/01g5y5k24 GRID:grid.410794.f KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Anastopoulos, Christos INSPIRE-00210733 ORCID:0000-0003-1587-5830 ROR:https://ror.org/05krs5044 GRID:grid.11835.3e Sheffield U. Department of Physics and Astronomy, University of Sheffield, Sheffield, UK Andeen, Timothy Robert INSPIRE-00005735 ORCID:0000-0002-4413-871X ROR:https://ror.org/00hj54h04 GRID:grid.89336.37 Texas U. Department of Physics, University of Texas at Austin, Austin, TX, USA Anders, John Kenneth INSPIRE-00399325 ORCID:0000-0002-1846-0262 ROR:https://ror.org/04xs57h96 GRID:grid.10025.36 Liverpool U. Oliver Lodge Laboratory, University of Liverpool, Liverpool, UK Anderson, Adam Campbell ORCID:0009-0009-9682-4656 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Andreazza, Attilio INSPIRE-00062128 ORCID:0000-0001-5161-5759 ROR:https://ror.org/04w4m6z96 GRID:grid.470206.7 GRID:grid.4708.b INFN, Milan Milan U. INFN Sezione di Milano, Milan, Italy Dipartimento di Fisica, Università di Milano, Milan, Italy Angelidakis, Stylianos INSPIRE-00009427 ORCID:0000-0002-8274-6118 ROR:https://ror.org/04gnjpq42 GRID:grid.5216.0 Athens U. Physics Department, National and Kapodistrian University of Athens, Athens, Greece Angerami, Aaron INSPIRE-00210782 ORCID:0000-0001-7834-8750 ROR:https://ror.org/00hj8s172 GRID:grid.21729.3f Nevis Labs, Columbia U. Nevis Laboratory, Columbia University, Irvington, NY, USA Anisenkov, Alexey INSPIRE-00291854 ORCID:0000-0002-7201-5936 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Annovi, Alberto INSPIRE-00041435 ORCID:0000-0002-4649-4398 GRID:grid.470216.6 ROR:https://ror.org/05symbg58 INFN, Pisa INFN Sezione di Pisa, Pisa, Italy Antel, Claire INSPIRE-00517126 ORCID:0000-0001-9683-0890 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Antipov, Egor ORCID:0000-0002-6678-7665 ROR:https://ror.org/05qghxh33 GRID:grid.36425.36 SUNY, Stony Brook Departments of Physics and Astronomy, Stony Brook University, Stony Brook, NY, USA Antonelli, Mario INSPIRE-00210812 ORCID:0000-0002-2293-5726 ROR:https://ror.org/049jf1a25 GRID:grid.463190.9 Frascati INFN e Laboratori Nazionali di Frascati, Frascati, Italy Anulli, Fabio INSPIRE-00062462 ORCID:0000-0003-2734-130X GRID:grid.470218.8 ROR:https://ror.org/05eva6s33 INFN, Rome INFN Sezione di Roma, Rome, Italy Aoki, Masato INSPIRE-00001575 ORCID:0000-0001-7498-0097 ROR:https://ror.org/01g5y5k24 GRID:grid.410794.f KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Aoki, Takumi ORCID:0000-0002-6618-5170 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Aparo, Marco ORCID:0000-0003-4675-7810 ROR:https://ror.org/00ayhx656 GRID:grid.12082.39 Sussex U. Department of Physics and Astronomy, University of Sussex, Brighton, UK Aperio Bella, Ludovica INSPIRE-00286141 ORCID:0000-0003-3942-1702 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Apicella, Mariano GRID:grid.531657.3 ROR:https://ror.org/0081fs513 GRID:grid.7345.5 Buenos Aires U. Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Física, y CONICET, Instituto de Física de Buenos Aires (IFIBA), Buenos Aires, Argentina Appelt, Christian ORCID:0000-0003-1205-6784 ROR:https://ror.org/04mhzgx49 GRID:grid.12136.37 Tel Aviv U. Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv, Israel Apyan, Aram ORCID:0000-0002-9418-6656 ROR:https://ror.org/05abbep66 GRID:grid.253264.4 Brandeis U. Department of Physics, Brandeis University, Waltham, MA, USA Arampatzi, Michaela ORCID:0009-0000-7951-7843 ROR:https://ror.org/03cx6bg69 GRID:grid.4241.3 Natl. Tech. U., Athens Physics Department, National Technical University of Athens, Zografou, Greece Arbiol Val, Sergio Javier ORCID:0000-0002-8849-0360 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Arcangeletti, Chiara ORCID:0000-0001-8648-2896 ROR:https://ror.org/049jf1a25 GRID:grid.463190.9 Frascati INFN e Laboratori Nazionali di Frascati, Frascati, Italy Arce, Ayana Tamu INSPIRE-00005140 ORCID:0000-0002-7255-0832 ROR:https://ror.org/00py81415 GRID:grid.26009.3d Duke U. Department of Physics, Duke University, Durham, NC, USA Arguin, Jean-Francois INSPIRE-00049740 ORCID:0000-0003-0229-3858 ROR:https://ror.org/0161xgx34 GRID:grid.14848.31 Montreal U. Group of Particle Physics, University of Montreal, Montreal, QC, Canada Argyropoulos, Spyros INSPIRE-00335900 ORCID:0000-0001-7748-1429 ROR:https://ror.org/02j61yw88 GRID:grid.4793.9 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Arling, Jan-Hendrik INSPIRE-00581963 ORCID:0000-0002-1577-5090 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Arnaez, Olivier INSPIRE-00210873 ORCID:0000-0002-6096-0893 GRID:grid.433124.3 ROR:https://ror.org/049nhh297 GRID:grid.450330.1 Annecy, LAPP LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France Arnold, Hannah INSPIRE-00367502 ORCID:0000-0003-3578-2228 ROR:https://ror.org/05qghxh33 GRID:grid.36425.36 SUNY, Stony Brook Departments of Physics and Astronomy, Stony Brook University, Stony Brook, NY, USA Artoni, Giacomo INSPIRE-00286089 ORCID:0000-0002-3477-4499 GRID:grid.470218.8 ROR:https://ror.org/02be6w209 GRID:grid.7841.a INFN, Rome Rome U. INFN Sezione di Roma, Rome, Italy Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy Asada, Haruka ORCID:0000-0003-1420-4955 ROR:https://ror.org/04chrp450 GRID:grid.27476.30 Nagoya U. Graduate School of Science and Kobayashi-Maskawa Institute, Nagoya University, Nagoya, Japan Asai, Kanae ORCID:0000-0002-3670-6908 ROR:https://ror.org/03599d813 GRID:grid.412314.1 Ochanomizu U. Ochanomizu University, Otsuka, Bunkyo-ku, Tokyo, Japan Asatryan, Siranush ORCID:0009-0005-2672-8707 ROR:https://ror.org/00ad27c73 GRID:grid.48507.3e Yerevan Phys. Inst. Yerevan Physics Institute, Yerevan, Armenia Asbah, Nedaa Alexandra INSPIRE-00339731 ORCID:0000-0001-8381-2255 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Ashby Pickering, Rachel Amy ORCID:0000-0002-4340-4932 ROR:https://ror.org/01a77tt86 GRID:grid.7372.1 Warwick U. Department of Physics, University of Warwick, Coventry, UK Aslam, Asim Mohammed ORCID:0000-0001-8659-4273 ROR:https://ror.org/04g2vpn86 GRID:grid.4970.a Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham, UK Assamagan, Ketevi Adikle INSPIRE-00152949 ORCID:0000-0002-4826-2662 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Astalos, Robert INSPIRE-00332100 ORCID:0000-0001-5095-605X ROR:https://ror.org/0587ef340 GRID:grid.7634.6 Comenius U. Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia Astrand, K.S.V. ORCID:0000-0001-9424-6607 ROR:https://ror.org/012a77v79 GRID:grid.4514.4 Lund U. Fysiska institutionen, Lunds universitet, Lund, Sweden Atashi, S. ORCID:0000-0002-3624-4475 GRID:grid.266093.8 ROR:https://ror.org/04gyf1771 UC, Irvine Department of Physics and Astronomy, University of California Irvine, Irvine, CA, USA Atashi, Rose ORCID:0000-0002-3624-4475 ROR:https://ror.org/04gyf1771 GRID:grid.266093.8 UC, Irvine Atkin, Ryan Justin INSPIRE-00574976 ORCID:0000-0002-1972-1006 ROR:https://ror.org/03p74gp79 GRID:grid.7836.a Cape Town U. Department of Physics, University of Cape Town, Cape Town, South Africa Atmani, Hicham ROR:https://ror.org/03xc55g68 GRID:grid.501615.6 Mohammed VI Polytech. U. Institute of Applied Physics, Mohammed VI Polytechnic University, Ben Guerir, Morocco Atmasiddha, Prachi ORCID:0000-0002-7639-9703 ROR:https://ror.org/00b30xv10 GRID:grid.25879.31 Pennsylvania U. Department of Physics, University of Pennsylvania, Philadelphia, PA, USA Augsten, Kamil INSPIRE-00013348 ORCID:0000-0001-8324-0576 ROR:https://ror.org/03kqpb082 GRID:grid.6652.7 Prague, Tech. U. Czech Technical University in Prague, Prague, Czech Republic Auriol, Adrien ORCID:0000-0002-3623-1228 GRID:grid.433124.3 ROR:https://ror.org/0214k6v65 GRID:grid.470921.9 Clermont-Ferrand U. LPC, Université Clermont Auvergne, CNRS/IN2P3, Clermont-Ferrand, France Austrup, Volker Andreas ORCID:0000-0001-6918-9065 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Avolio, Giuseppe INSPIRE-00210941 ORCID:0000-0003-2664-3437 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Axiotis, Konstantinos ORCID:0000-0003-3664-8186 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Azzam, Amir ORCID:0009-0006-1061-6257 ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Babal, Dominik ORCID:0000-0001-7657-6004 ROR:https://ror.org/0046rz373 GRID:grid.435184.f Kosice, IEF Department of Subnuclear Physics, Institute of Experimental Physics of the Slovak Academy of Sciences, Kosice, Slovak Republic Bachacou, Henri INSPIRE-00210989 ORCID:0000-0002-2256-4515 ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Bachas, Konstantinos INSPIRE-00210990 ORCID:0000-0002-9047-6517 ROR:https://ror.org/02j61yw88 GRID:grid.4793.9 GRID:grid.410558.d Aristotle U., Thessaloniki Thessaly U. Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Department of Physics, University of Thessaly, Volos, Greece Bachiu, Alexander ORCID:0000-0001-8599-024X ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Bachmann, Erik ORCID:0009-0005-5576-327X ROR:https://ror.org/042aqky30 GRID:grid.4488.0 Dresden, Tech. U. Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany Backes, Mathias Josef ORCID:0009-0000-3661-8628 ROR:https://ror.org/038t36y30 GRID:grid.7700.0 Kirchhoff Inst. Phys. Kirchhoff-Institut für Physik, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Badea, Anthony ORCID:0000-0001-5199-9588 ROR:https://ror.org/024mw5h28 GRID:grid.170205.1 Chicago U., EFI Enrico Fermi Institute, University of Chicago, Chicago, IL, USA Baer, Tamas Marton ORCID:0000-0002-2469-513X ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Bagnaia, Paolo INSPIRE-00063838 ORCID:0000-0003-4578-2651 GRID:grid.470218.8 ROR:https://ror.org/02be6w209 GRID:grid.7841.a INFN, Rome Rome U. INFN Sezione di Roma, Rome, Italy Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy Bahmani, Marzieh INSPIRE-00551811 ORCID:0000-0003-4173-0926 ROR:https://ror.org/01hcx6992 GRID:grid.7468.d Humboldt U., Berlin Institut für Physik, Humboldt Universität zu Berlin, Berlin, Germany Bahner, Daniel ORCID:0000-0001-8061-9978 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Bai, Kehang ORCID:0000-0001-8508-1169 ROR:https://ror.org/0293rh119 GRID:grid.170202.6 Oregon U. Institute for Fundamental Science, University of Oregon, Eugene, OR, USA Baines, John INSPIRE-00063905 ORCID:0000-0003-0770-2702 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Rutherford Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Baines, Luke ORCID:0000-0002-9326-1415 ROR:https://ror.org/026zzn846 GRID:grid.4868.2 Queen Mary, U. of London Department of Physics and Astronomy, Queen Mary University of London, London, UK Baker, Keith INSPIRE-00063962 ORCID:0000-0003-1346-5774 ROR:https://ror.org/03v76x132 GRID:grid.47100.32 Yale U. Department of Physics, Yale University, New Haven, CT, USA Bakos, Evelin INSPIRE-00676662 ORCID:0000-0002-1110-4433 GRID:grid.7149.b ROR:https://ror.org/04h3h5b09 GRID:grid.435330.2 Belgrade U. Institute of Physics, University of Belgrade, Belgrade, Serbia Bakshi Gupta, Debottam INSPIRE-00551849 ORCID:0000-0002-6580-008X ROR:https://ror.org/019kgqr73 GRID:grid.267315.4 Texas U., Arlington Department of Physics, University of Texas at Arlington, Arlington, TX, USA Balabram Filho, Luiz Eduardo ORCID:0009-0006-1619-1261 ROR:https://ror.org/03490as77 GRID:grid.8536.8 Rio de Janeiro Federal U. Universidade Federal do Rio de Janeiro COPPE/EE/IF, Rio de Janeiro, Brazil Balakrishnan, Veena ORCID:0000-0003-2580-2520 ROR:https://ror.org/02aqsxs83 GRID:grid.266900.b Oklahoma U. Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, OK, USA Balasubramanian, Rahul ORCID:0000-0001-5840-1788 GRID:grid.433124.3 ROR:https://ror.org/049nhh297 GRID:grid.450330.1 Annecy, LAPP LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France Baldin, Evgenii INSPIRE-00057771 ORCID:0000-0002-9854-975X GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Balek, Petr INSPIRE-00295870 ORCID:0000-0002-0942-1966 ROR:https://ror.org/00bas1c41 GRID:grid.9922.0 AGH-UST, Cracow AGH University of Krakow, Faculty of Physics and Applied Computer Science, Krakow, Poland Ballabene, Eric ORCID:0000-0001-9700-2587 ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Balli, Fabrice INSPIRE-00000243 ORCID:0000-0003-0844-4207 ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Baltes, Lisa Marie ORCID:0000-0001-7041-7096 ROR:https://ror.org/038t36y30 GRID:grid.7700.0 Kirchhoff Inst. Phys. Kirchhoff-Institut für Physik, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Balunas, William Keaton INSPIRE-00421104 ORCID:0000-0002-7048-4915 ROR:https://ror.org/013meh722 GRID:grid.5335.0 Cambridge U. Cavendish Laboratory, University of Cambridge, Cambridge, UK Balz, Johannes INSPIRE-00583960 ORCID:0000-0003-2866-9446 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Bamwidhi, Isaac ORCID:0000-0002-4382-1541 ROR:https://ror.org/01km6p862 GRID:grid.43519.3a United Arab Emirates U. United Arab Emirates University, Al Ain, United Arab Emirates Banas, Elzbieta INSPIRE-00211068 ORCID:0000-0001-5325-6040 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Bandieramonte, Marilena INSPIRE-00679706 ORCID:0000-0003-2014-9489 ROR:https://ror.org/01an3r305 GRID:grid.21925.3d Pittsburgh U. Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA, USA Bandyopadhyay, Anjishnu INSPIRE-00524626 ORCID:0000-0002-5256-839X ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Bansal, Shubham ORCID:0000-0002-8754-1074 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Barak, Liron INSPIRE-00229245 ORCID:0000-0002-3436-2726 ROR:https://ror.org/04mhzgx49 GRID:grid.12136.37 Tel Aviv U. Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv, Israel Barakat, Marawan ORCID:0000-0001-5740-1866 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Barberio, Elisabetta INSPIRE-00064366 ORCID:0000-0002-3111-0910 GRID:grid.1008.9 ROR:https://ror.org/01h06nz15 GRID:grid.453169.c Melbourne U. School of Physics, University of Melbourne, Victoria, Australia Barberis, Dario INSPIRE-00064378 ORCID:0000-0002-3938-4553 GRID:grid.47840.3f ROR:https://ror.org/01an7q238 UC, Berkeley (main) University of California, Berkeley, CA, USA Barbero, Marlon Benoit INSPIRE-00211139 ORCID:0000-0002-7824-3358 ROR:https://ror.org/00fw8bp86 GRID:grid.470046.1 Marseille, CPPM CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France Barel, Marten Zefanja ORCID:0000-0002-5572-2372 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Barillari, Teresa INSPIRE-00064533 ORCID:0000-0001-7326-0565 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Barisits, Martin INSPIRE-00473067 ORCID:0000-0003-0253-106X ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Barklow, Tim INSPIRE-00064576 ORCID:0000-0002-7709-037X ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Baron, Petr ORCID:0000-0002-5170-0053 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Moreno, D.A.Baron ORCID:0000-0001-9864-7985 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Baroncelli, Toni INSPIRE-00064709 ORCID:0000-0001-7090-7474 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Baroncelli, A. ORCID:0000-0001-7090-7474 GRID:grid.59053.3a ROR:https://ror.org/04c4dkn09 Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Barr, Alan INSPIRE-00064725 ORCID:0000-0002-3533-3740 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Barr, Jackson ORCID:0000-0002-9752-9204 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Barreiro, Fernando INSPIRE-00064758 ORCID:0000-0002-3021-0258 ROR:https://ror.org/01cby8j38 GRID:grid.5515.4 Madrid, Autonoma U. Departamento de Física Teorica C-15 and CIAFF, Universidad Autónoma de Madrid, Madrid, Spain Barreiro Guimaraes Da Costa, Joao INSPIRE-00087323 ORCID:0000-0003-2387-0386 GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Barreiro Megino, Fernando Harald ROR:https://ror.org/019kgqr73 GRID:grid.267315.4 Texas U., Arlington Department of Physics, University of Texas at Arlington, Arlington, TX, USA Teixeira, M.G.Barros ORCID:0000-0003-0914-8178 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 LIP, Lisbon Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Barsov, Sergey ORCID:0000-0003-2872-7116 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Bartels, Falk ORCID:0000-0002-3407-0918 ROR:https://ror.org/038t36y30 GRID:grid.7700.0 Kirchhoff Inst. Phys. Kirchhoff-Institut für Physik, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Bartoldus, Rainer INSPIRE-00064943 ORCID:0000-0001-5317-9794 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Barton, Adam Edward INSPIRE-00229256 ORCID:0000-0001-9696-9497 GRID:grid.9835.7 ROR:https://ror.org/01g3dya06 GRID:grid.472314.7 Lancaster U. Physics Department, Lancaster University, Lancaster, UK Bartos, Pavol INSPIRE-00304670 ORCID:0000-0003-1419-3213 ROR:https://ror.org/0587ef340 GRID:grid.7634.6 Comenius U. Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia Basan, Alexander ORCID:0000-0001-8021-8525 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Baselga Bacardit, Marta ORCID:0000-0002-1533-0876 ROR:https://ror.org/01k97gp34 GRID:grid.5675.1 Dortmund U. Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany Bashiri, Saleh ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Bassalat, Ahmed INSPIRE-00347533 ORCID:0000-0002-0129-1423 GRID:grid.508754.b GRID:grid.11942.3f ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay An Najah Natl. U. IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France An-Najah National University, Nablus, Palestine Basso, Matthew Joseph ORCID:0000-0001-9278-3863 ROR:https://ror.org/03kgj4539 GRID:grid.232474.4 TRIUMF TRIUMF, Vancouver, BC, Canada Bataju, Susan ORCID:0009-0004-5048-9104 ROR:https://ror.org/042tdr378 GRID:grid.263864.d Southern Methodist U. Physics Department, Southern Methodist University, Dallas, TX, USA Bate, Russell ORCID:0009-0004-7639-1869 ROR:https://ror.org/03rmrcq20 GRID:grid.17091.3e British Columbia U. Department of Physics, University of British Columbia, Vancouver, BC, Canada Bates, Richard INSPIRE-00065082 ORCID:0000-0002-6923-5372 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Batlamous, Souad INSPIRE-00571460 ROR:https://ror.org/01cby8j38 GRID:grid.5515.4 Madrid, Autonoma U. Departamento de Física Teorica C-15 and CIAFF, Universidad Autónoma de Madrid, Madrid, Spain Battaglia, Marco INSPIRE-00065121 ORCID:0000-0001-9608-543X ROR:https://ror.org/03s65by71 GRID:grid.205975.c UC, Santa Cruz Santa Cruz Institute for Particle Physics, University of California Santa Cruz, Santa Cruz, CA, USA Battulga, Daariimaa ORCID:0000-0001-6389-5364 ROR:https://ror.org/01hcx6992 GRID:grid.7468.d Humboldt U., Berlin Institut für Physik, Humboldt Universität zu Berlin, Berlin, Germany Bauce, Matteo INSPIRE-00243631 ORCID:0000-0002-9148-4658 GRID:grid.470218.8 ROR:https://ror.org/02be6w209 GRID:grid.7841.a INFN, Rome Rome U. INFN Sezione di Roma, Rome, Italy Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy Bauer, Michael ORCID:0000-0002-4819-0419 ROR:https://ror.org/054pv6659 GRID:grid.5771.4 Innsbruck U. Department of Astro and Particle Physics, Universität Innsbruck, Innsbruck, Austria Bauer, Patrick ORCID:0000-0002-4568-5360 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Bayer, Lukas ORCID:0000-0001-7853-4975 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Hurrell, L.T.Bazzano ORCID:0000-0002-8985-6934 GRID:grid.531657.3 ROR:https://ror.org/0081fs513 GRID:grid.7345.5 Buenos Aires U. Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Física, y CONICET, Instituto de Física de Buenos Aires (IFIBA), Buenos Aires, Argentina Beacham, James INSPIRE-00344428 ORCID:0000-0003-3623-3335 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Beau, Tristan INSPIRE-00149690 ORCID:0000-0002-2022-2140 GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Beaucamp, Jean Yves ORCID:0000-0002-0660-1558 GRID:grid.450288.3 ROR:https://ror.org/01tjs6929 GRID:grid.9499.d La Plata U. Instituto de Física La Plata, Universidad Nacional de La Plata and CONICET, La Plata, Argentina Beauchemin, Pierre-Hugues INSPIRE-00034698 ORCID:0000-0003-4889-8748 ROR:https://ror.org/05wvpxv85 GRID:grid.429997.8 Tufts U. Department of Physics and Astronomy, Tufts University, Medford, MA, USA Bechtle, Philip INSPIRE-00055190 ORCID:0000-0003-3479-2221 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Beck, Hans Peter INSPIRE-00065459 ORCID:0000-0001-7212-1096 ROR:https://ror.org/02k7v4d05 GRID:grid.5734.5 GRID:grid.8534.a Bern U., LHEP Fribourg U. Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics, University of Bern, Bern, Switzerland Department of Physics, University of Fribourg, Fribourg, Switzerland Becker, Kathrin INSPIRE-00286180 ORCID:0000-0002-6691-6498 ROR:https://ror.org/01a77tt86 GRID:grid.7372.1 Warwick U. Department of Physics, University of Warwick, Coventry, UK Beddall, Andrew INSPIRE-00065527 ORCID:0000-0002-8451-9672 ROR:https://ror.org/03081nz23 GRID:grid.508740.e Istinye U., Istanbul Istinye University, Sariyer, Istanbul, Türkiye Bednyakov, Vadim INSPIRE-00065561 ORCID:0000-0003-4864-8909 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Bee, Chris INSPIRE-00065575 ORCID:0000-0001-6294-6561 ROR:https://ror.org/05qghxh33 GRID:grid.36425.36 SUNY, Stony Brook Departments of Physics and Astronomy, Stony Brook University, Stony Brook, NY, USA Beemster, Lars INSPIRE-00287445 ORCID:0009-0000-5402-0697 GRID:grid.7149.b ROR:https://ror.org/04h3h5b09 GRID:grid.435330.2 Belgrade U. Institute of Physics, University of Belgrade, Belgrade, Serbia Begalli, Marcia INSPIRE-00065602 ORCID:0000-0003-4868-6059 ROR:https://ror.org/0198v2949 GRID:grid.412211.5 Rio de Janeiro State U. Rio de Janeiro State University, Rio de Janeiro, Brazil Begel, Michael INSPIRE-00065614 ORCID:0000-0002-1634-4399 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Behr, Janna Katharina INSPIRE-00348133 ORCID:0000-0002-5501-4640 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Beirer, Joshua Falco ORCID:0000-0001-9024-4989 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Beisiegel, Florian INSPIRE-00649328 ORCID:0000-0002-7659-8948 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Belfkir, Mohamed ORCID:0000-0001-9974-1527 ROR:https://ror.org/01km6p862 GRID:grid.43519.3a United Arab Emirates U. United Arab Emirates University, Al Ain, United Arab Emirates Bella, Gideon INSPIRE-00211305 ORCID:0000-0002-4009-0990 ROR:https://ror.org/04mhzgx49 GRID:grid.12136.37 Tel Aviv U. Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv, Israel Bellagamba, Lorenzo INSPIRE-00065777 ORCID:0000-0001-7098-9393 GRID:grid.470193.8 ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Sezione di Bologna, Bologna, Italy Bellerive, Alain INSPIRE-00065818 ORCID:0000-0001-6775-0111 ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Bellgraph, Casey Dominik ORCID:0000-0003-2144-1537 GRID:grid.411377.7 ROR:https://ror.org/01kg8sb98 GRID:grid.257410.5 Indiana U. Department of Physics, Indiana University, Bloomington, IN, USA Bellos, Panagiotis INSPIRE-00586679 ORCID:0000-0003-2049-9622 ROR:https://ror.org/03angcq70 GRID:grid.6572.6 Birmingham U. School of Physics and Astronomy, University of Birmingham, Birmingham, UK Beloborodov, Konstantin INSPIRE-00568322 ORCID:0000-0003-0945-4087 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Benchekroun, Driss INSPIRE-00211372 ORCID:0000-0001-5196-8327 ROR:https://ror.org/001q4kn48 GRID:grid.412148.a Casablanca U. Faculté des Sciences Ain Chock, Université Hassan II de Casablanca, Casablanca, Morocco Bendebba, Fatima ORCID:0000-0002-5360-5973 ROR:https://ror.org/001q4kn48 GRID:grid.412148.a Casablanca U. Faculté des Sciences Ain Chock, Université Hassan II de Casablanca, Casablanca, Morocco Benhammou, Yan INSPIRE-00211400 ORCID:0000-0002-0392-1783 ROR:https://ror.org/04mhzgx49 GRID:grid.12136.37 Tel Aviv U. Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv, Israel Benkendorfer, Kees ORCID:0000-0003-4466-1196 ROR:https://ror.org/03vek6s52 GRID:grid.38142.3c Harvard U., Phys. Dept. Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA, USA Beresford, Lydia Audrey INSPIRE-00389718 ORCID:0000-0002-3080-1824 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Beretta, Matteo Mario INSPIRE-00211424 ORCID:0000-0002-7026-8171 ROR:https://ror.org/049jf1a25 GRID:grid.463190.9 Frascati INFN e Laboratori Nazionali di Frascati, Frascati, Italy Bergeaas Kuutmann, Elin INSPIRE-00305615 ORCID:0000-0002-1253-8583 ROR:https://ror.org/048a87296 GRID:grid.8993.b Uppsala U., Inst. Theor. Phys. Department of Physics and Astronomy, University of Uppsala, Uppsala, Sweden Berger, Nicolas INSPIRE-00066350 ORCID:0000-0002-7963-9725 GRID:grid.433124.3 ROR:https://ror.org/049nhh297 GRID:grid.450330.1 Annecy, LAPP LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France Bergmann, Benedikt Ludwig INSPIRE-00652709 ORCID:0000-0002-8076-5614 ROR:https://ror.org/03kqpb082 GRID:grid.6652.7 Prague, Tech. U. Czech Technical University in Prague, Prague, Czech Republic Beringer, Juerg INSPIRE-00066414 ORCID:0000-0002-9975-1781 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Bernardi, Gregorio INSPIRE-00066505 ORCID:0000-0002-2837-2442 GRID:grid.433124.3 ROR:https://ror.org/05f82e368 GRID:grid.508487.6 APC, Paris APC, Université Paris Cité, CNRS/IN2P3, Paris, France Bernius, Catrin INSPIRE-00211450 ORCID:0000-0003-3433-1687 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Bernlochner, Florian Urs INSPIRE-00144634 ORCID:0000-0001-8153-2719 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Bernon, Florent ORCID:0000-0003-0499-8755 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Berrocal Guardia, Adrian ORCID:0000-0002-1976-5703 ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Berry, Tracey INSPIRE-00041406 ORCID:0000-0002-9569-8231 ROR:https://ror.org/04g2vpn86 GRID:grid.4970.a Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham, UK Berta, Peter INSPIRE-00349738 ORCID:0000-0003-0780-0345 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Berthold, Anne-Sophie ORCID:0000-0002-3824-409X ROR:https://ror.org/042aqky30 GRID:grid.4488.0 Dresden, Tech. U. Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany Berti, Annalisa ROR:https://ror.org/01hys1667 GRID:grid.420929.4 LIP, Lisbon Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Bertrand, Raphael ORCID:0009-0008-5230-5902 ROR:https://ror.org/00fw8bp86 GRID:grid.470046.1 Marseille, CPPM CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France Bethke, Siegfried INSPIRE-00179262 ORCID:0000-0003-0073-3821 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Betti, Alessandra INSPIRE-00564976 ORCID:0000-0003-0839-9311 GRID:grid.470218.8 ROR:https://ror.org/02be6w209 GRID:grid.7841.a INFN, Rome Rome U. INFN Sezione di Roma, Rome, Italy Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy Bevan, Adrian INSPIRE-00042361 ORCID:0000-0002-4105-9629 ROR:https://ror.org/026zzn846 GRID:grid.4868.2 Queen Mary, U. of London Department of Physics and Astronomy, Queen Mary University of London, London, UK Bezio, Lucas ORCID:0009-0001-4014-4645 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Bhalla, Naman Kumar ORCID:0000-0003-2677-5675 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Bharthuar, Shudhashil ORCID:0000-0001-5871-9622 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Bhatta, Somadutta ORCID:0000-0002-9045-3278 ROR:https://ror.org/05qghxh33 GRID:grid.36425.36 SUNY, Stony Brook Departments of Physics and Astronomy, Stony Brook University, Stony Brook, NY, USA Bhattarai, Prajita ORCID:0000-0001-9977-0416 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Bhatti, Zubair ORCID:0000-0003-1621-6036 ROR:https://ror.org/0190ak572 GRID:grid.137628.9 New York U. Department of Physics, New York University, New York, NY, USA Bhide, Kartik Deepak ORCID:0000-0001-8686-4026 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Bhopatkar, Vallary Shashikant ORCID:0000-0003-3024-587X ROR:https://ror.org/01g9vbr38 GRID:grid.65519.3e Oklahoma State U. Department of Physics, Oklahoma State University, Stillwater, OK, USA Bianchi, Riccardo Maria INSPIRE-00211497 ORCID:0000-0001-7345-7798 ROR:https://ror.org/01an3r305 GRID:grid.21925.3d Pittsburgh U. Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA, USA Bianco, Gianluca ORCID:0000-0003-4473-7242 ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Biebel, Otmar INSPIRE-00066953 ORCID:0000-0002-8663-6856 ROR:https://ror.org/05591te55 GRID:grid.5252.0 Munich U. Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany Biglietti, Michela INSPIRE-00211510 ORCID:0000-0001-5442-1351 GRID:grid.470220.3 ROR:https://ror.org/05vf0dg29 Rome III U. INFN Sezione di Roma Tre, Rome, Italy Billingsley, Sully ROR:https://ror.org/042tdr378 GRID:grid.263864.d Southern Methodist U. Physics Department, Southern Methodist University, Dallas, TX, USA Bimgdi, Yassine ORCID:0009-0002-0240-0270 ROR:https://ror.org/03xc55g68 GRID:grid.501615.6 Mohammed VI Polytech. U. Institute of Applied Physics, Mohammed VI Polytechnic University, Ben Guerir, Morocco Bindi, Marcello INSPIRE-00172094 ORCID:0000-0001-6172-545X ROR:https://ror.org/01y9bpm73 GRID:grid.7450.6 Gottingen U., II. Phys. Inst. II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany Bingham, Anna ORCID:0009-0005-3102-4683 ROR:https://ror.org/00613ak93 GRID:grid.7787.f Wuppertal U. Fakultät für Mathematik und Naturwissenschaften, Fachgruppe Physik, Bergische Universität Wuppertal, Wuppertal, Germany Bingul, Ahmet INSPIRE-00211539 ORCID:0000-0002-2455-8039 ROR:https://ror.org/020vvc407 GRID:grid.411549.c Gaziantep U. Department of Physics Engineering, Gaziantep University, Gaziantep, Türkiye Bini, Cesare INSPIRE-00211540 ORCID:0000-0001-6674-7869 GRID:grid.470218.8 ROR:https://ror.org/02be6w209 GRID:grid.7841.a INFN, Rome Rome U. INFN Sezione di Roma, Rome, Italy Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy Bird, Gareth Adam ORCID:0000-0003-2025-5935 ROR:https://ror.org/013meh722 GRID:grid.5335.0 Cambridge U. Cavendish Laboratory, University of Cambridge, Cambridge, UK Birman, Mattias INSPIRE-00639184 ORCID:0000-0002-3835-0968 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Biros, Marek ORCID:0000-0003-2781-623X ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Biryukov, Stanislav ORCID:0000-0003-3386-9397 ROR:https://ror.org/00ayhx656 GRID:grid.12082.39 Sussex U. Department of Physics and Astronomy, University of Sussex, Brighton, UK Bisanz, Tobias INSPIRE-00470148 ORCID:0000-0002-7820-3065 ROR:https://ror.org/01k97gp34 GRID:grid.5675.1 Dortmund U. Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany Bisceglie, Emanuele ORCID:0000-0001-6410-9046 ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Biswal, Jyoti Prakash INSPIRE-00401043 ORCID:0000-0001-8361-2309 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Rutherford Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Biswas, Diptaparna INSPIRE-00691796 ORCID:0000-0002-7543-3471 ROR:https://ror.org/02azyry73 GRID:grid.5836.8 Siegen U. Department Physik, Universität Siegen, Siegen, Germany Bloch, Ingo INSPIRE-00060307 ORCID:0000-0002-6696-5169 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Blue, Andrew James INSPIRE-00524643 ORCID:0000-0002-7716-5626 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Blumenschein, Ulla INSPIRE-00211570 ORCID:0000-0002-6134-0303 ROR:https://ror.org/026zzn846 GRID:grid.4868.2 Queen Mary, U. of London Department of Physics and Astronomy, Queen Mary University of London, London, UK Blumenthal, Julian ORCID:0000-0001-5412-1236 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Bobrovnikov, Viktor INSPIRE-00229343 ORCID:0000-0002-2003-0261 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Boccardo, Lucrezia ORCID:0009-0005-4955-4658 GRID:grid.5606.5 ROR:https://ror.org/02v89pq06 GRID:grid.470205.4 INFN, Genoa Genoa U. Dipartimento di Fisica, Università di Genova, Genoa, Italy INFN Sezione di Genova, Genoa, Italy Boehler, Michael INSPIRE-00211593 ORCID:0000-0001-9734-574X ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Bohm, Burkhard ORCID:0000-0002-8462-443X ROR:https://ror.org/00fbnyb24 GRID:grid.8379.5 Wurzburg U. Boehm, B. ORCID:0000-0002-8462-443X GRID:grid.8379.5 ROR:https://ror.org/00fbnyb24 Wurzburg U. Fakultät für Physik und Astronomie, Julius-Maximilians-Universität Würzburg, Würzburg, Germany Bogavac, Danijela INSPIRE-00407355 ORCID:0000-0003-2138-9062 ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Bogdanchikov, Alexander INSPIRE-00229367 ORCID:0000-0002-8635-9342 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Boggia, Laura ORCID:0000-0002-9924-7489 GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Boisvert, Veronique INSPIRE-00067915 ORCID:0000-0002-7736-0173 ROR:https://ror.org/04g2vpn86 GRID:grid.4970.a Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham, UK Bokan, Petar INSPIRE-00451520 ORCID:0000-0002-2668-889X ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Bold, Tomasz INSPIRE-00172488 ORCID:0000-0002-2432-411X ROR:https://ror.org/00bas1c41 GRID:grid.9922.0 AGH-UST, Cracow AGH University of Krakow, Faculty of Physics and Applied Computer Science, Krakow, Poland Bomben, Marco INSPIRE-00052711 ORCID:0000-0002-9807-861X GRID:grid.433124.3 ROR:https://ror.org/05f82e368 GRID:grid.508487.6 APC, Paris APC, Université Paris Cité, CNRS/IN2P3, Paris, France Bona, Marcella INSPIRE-00049930 ORCID:0000-0002-9660-580X ROR:https://ror.org/026zzn846 GRID:grid.4868.2 Queen Mary, U. of London Department of Physics and Astronomy, Queen Mary University of London, London, UK Boonekamp, Maarten INSPIRE-00211647 ORCID:0000-0003-0078-9817 ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Borbely, Albert Gyorgy ORCID:0000-0002-6890-1601 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Bordulev, Iurii ORCID:0000-0002-9249-2158 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Borissov, Guennadi INSPIRE-00068300 ORCID:0000-0002-4226-9521 GRID:grid.9835.7 ROR:https://ror.org/01g3dya06 GRID:grid.472314.7 Lancaster U. Physics Department, Lancaster University, Lancaster, UK Bortoletto, Daniela INSPIRE-00068366 ORCID:0000-0002-1287-4712 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Boscherini, Davide INSPIRE-00172014 ORCID:0000-0001-9207-6413 GRID:grid.470193.8 ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Sezione di Bologna, Bologna, Italy Fernandez-Bosman, Martine INSPIRE-00227227 ORCID:0000-0002-7290-643X ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Bouaouda, Khalil INSPIRE-00584544 ORCID:0000-0002-7723-5030 ROR:https://ror.org/001q4kn48 GRID:grid.412148.a Casablanca U. Faculté des Sciences Ain Chock, Université Hassan II de Casablanca, Casablanca, Morocco Bouchhar, Naseem ORCID:0000-0002-5129-5705 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Boudet, Leo ORCID:0000-0002-3613-3142 GRID:grid.433124.3 ROR:https://ror.org/049nhh297 GRID:grid.450330.1 Annecy, LAPP LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France Boudreau, Joseph INSPIRE-00068562 ORCID:0000-0002-9314-5860 ROR:https://ror.org/01an3r305 GRID:grid.21925.3d Pittsburgh U. Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA, USA Bouhova-Thacker, E.V. INSPIRE-00211684 ORCID:0000-0002-5103-1558 GRID:grid.9835.7 ROR:https://ror.org/01g3dya06 GRID:grid.472314.7 Lancaster U. Physics Department, Lancaster University, Lancaster, UK Boumediene, Djamel Eddine INSPIRE-00050723 ORCID:0000-0002-7809-3118 GRID:grid.433124.3 ROR:https://ror.org/0214k6v65 GRID:grid.470921.9 Clermont-Ferrand U. LPC, Université Clermont Auvergne, CNRS/IN2P3, Clermont-Ferrand, France Bouquet, Romain ORCID:0000-0001-9683-7101 GRID:grid.5606.5 ROR:https://ror.org/02v89pq06 GRID:grid.470205.4 INFN, Genoa Genoa U. Dipartimento di Fisica, Università di Genova, Genoa, Italy INFN Sezione di Genova, Genoa, Italy Boveia, Antonio INSPIRE-00041392 ORCID:0000-0002-6647-6699 ROR:https://ror.org/00rs6vg23 GRID:grid.261331.4 Ohio State U. Ohio State University, Columbus, OH, USA Boyd, Jamie INSPIRE-00226553 ORCID:0000-0001-7360-0726 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Boye, Diallo INSPIRE-00641083 ORCID:0000-0002-2704-835X ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Boyko, Igor INSPIRE-00211696 ORCID:0000-0002-3355-4662 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Bozianu, Leon ORCID:0000-0002-1243-9980 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Bracinik, Juraj INSPIRE-00068874 ORCID:0000-0001-5762-3477 ROR:https://ror.org/03angcq70 GRID:grid.6572.6 Birmingham U. School of Physics and Astronomy, University of Birmingham, Birmingham, UK Brahimi, Nihal INSPIRE-00578795 ORCID:0000-0003-0992-3509 GRID:grid.433124.3 ROR:https://ror.org/049nhh297 GRID:grid.450330.1 Annecy, LAPP LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France Brandt, Gerhard Immanuel INSPIRE-00032742 ORCID:0000-0001-7992-0309 ROR:https://ror.org/00613ak93 GRID:grid.7787.f Wuppertal U. Fakultät für Mathematik und Naturwissenschaften, Fachgruppe Physik, Bergische Universität Wuppertal, Wuppertal, Germany Brandt, Oleg INSPIRE-00184109 ORCID:0000-0001-5219-1417 ROR:https://ror.org/013meh722 GRID:grid.5335.0 Cambridge U. Cavendish Laboratory, University of Cambridge, Cambridge, UK Brau, Benjamin Paul INSPIRE-00069043 ORCID:0000-0001-9726-4376 ROR:https://ror.org/0072zz521 GRID:grid.266683.f Massachusetts U., Amherst Department of Physics, University of Massachusetts, Amherst, MA, USA Brau, J.E. INSPIRE-00069055 ORCID:0000-0003-1292-9725 ROR:https://ror.org/0293rh119 GRID:grid.170202.6 Oregon U. Institute for Fundamental Science, University of Oregon, Eugene, OR, USA Schimmel Brener, Roy ORCID:0000-0001-5791-4872 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Brenner, Lydia INSPIRE-00386479 ORCID:0000-0001-5350-7081 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Brenner, Richard INSPIRE-00211740 ORCID:0000-0002-8204-4124 ROR:https://ror.org/048a87296 GRID:grid.8993.b Uppsala U., Inst. Theor. Phys. Department of Physics and Astronomy, University of Uppsala, Uppsala, Sweden Bressler, Shikma INSPIRE-00211751 ORCID:0000-0003-4194-2734 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Brianti, Greta ORCID:0009-0000-8406-368X GRID:grid.470224.7 ROR:https://ror.org/05trd4x28 GRID:grid.11696.39 TIFPA-INFN, Trento Trento U. INFN-TIFPA, Povo, Italy Università degli Studi di Trento, Trento, Italy Britton, David INSPIRE-00069310 ORCID:0000-0001-9998-4342 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Britzger, Daniel INSPIRE-00306448 ORCID:0000-0002-9246-7366 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Brock, Ian INSPIRE-00069330 ORCID:0000-0003-0903-8948 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Brock, Raymond INSPIRE-00069341 ORCID:0000-0002-4556-9212 ROR:https://ror.org/05hs6h993 GRID:grid.17088.36 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA Brooijmans, Gustaaf INSPIRE-00069444 ORCID:0000-0002-3354-1810 ROR:https://ror.org/00hj8s172 GRID:grid.21729.3f Nevis Labs, Columbia U. Nevis Laboratory, Columbia University, Irvington, NY, USA Brooks, Jammel GRID:grid.411377.7 ROR:https://ror.org/01kg8sb98 GRID:grid.257410.5 Indiana U. Department of Physics, Indiana University, Bloomington, IN, USA Brooks, Ethan Michael ORCID:0000-0002-8090-6181 ROR:https://ror.org/05fq50484 GRID:grid.21100.32 York U., Canada Department of Physics and Astronomy, York University, Toronto, ON, Canada Brost, Liza INSPIRE-00345015 ORCID:0000-0002-6800-9808 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Brost, E. ORCID:0000-0002-6800-9808 GRID:grid.202665.5 ROR:https://ror.org/02ex6cf31 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Brown, Leesa ORCID:0000-0002-5485-7419 GRID:grid.232474.4 GRID:grid.143640.4 ROR:https://ror.org/04s5mat29 ROR:https://ror.org/03kgj4539 Victoria U. TRIUMF TRIUMF, Vancouver, BC, Canada Department of Physics and Astronomy, University of Victoria, Victoria, BC, Canada Bruce, Laura Elaine ORCID:0009-0006-4398-5526 ROR:https://ror.org/03vek6s52 GRID:grid.38142.3c Harvard U., Phys. Dept. Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA, USA Bruckler, Tim Lukas ORCID:0000-0002-6199-8041 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Bruckman De Renstrom, Pawel INSPIRE-00180299 ORCID:0000-0002-0206-1160 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Bruers, Ben ORCID:0000-0002-1479-2112 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Bruni, Alessia INSPIRE-00069652 ORCID:0000-0003-4806-0718 GRID:grid.470193.8 ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Sezione di Bologna, Bologna, Italy Bruni, Graziano INSPIRE-00172026 ORCID:0000-0001-5667-7748 GRID:grid.470193.8 ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Sezione di Bologna, Bologna, Italy Brunner, David ORCID:0000-0001-9518-0435 ROR:https://ror.org/05f0yaq80 GRID:grid.10548.38 Stockholm U. Stockholm U., OKC Department of Physics, Stockholm University, Stockholm, Sweden Oskar Klein Centre, Stockholm, Sweden Bruschi, Marco INSPIRE-00211789 ORCID:0000-0002-4319-4023 GRID:grid.470193.8 ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Sezione di Bologna, Bologna, Italy Bruscino, Nello INSPIRE-00405244 ORCID:0000-0002-6168-689X GRID:grid.470218.8 ROR:https://ror.org/02be6w209 GRID:grid.7841.a INFN, Rome Rome U. INFN Sezione di Roma, Rome, Italy Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy Buanes, Trygve INSPIRE-00229479 ORCID:0000-0002-8977-121X ROR:https://ror.org/03zga2b32 GRID:grid.7914.b Bergen U. Department for Physics and Technology, University of Bergen, Bergen, Norway Buat, Quentin INSPIRE-00235948 ORCID:0000-0001-7318-5251 GRID:grid.34477.33 ROR:https://ror.org/03d17d270 GRID:grid.504155.0 Washington U., Seattle Department of Physics, University of Washington, Seattle, WA, USA Buchin, Daniel Alexander ORCID:0000-0001-8272-1108 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Buckley, Andy INSPIRE-00211807 ORCID:0000-0001-8355-9237 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Bulekov, Oleg INSPIRE-00211832 ORCID:0000-0002-5687-2073 ROR:https://ror.org/03081nz23 GRID:grid.508740.e Istinye U., Istanbul Istinye University, Sariyer, Istanbul, Türkiye Bullard, Brendon ORCID:0000-0001-7148-6536 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Burdin, Sergey INSPIRE-00022855 ORCID:0000-0003-4831-4132 ROR:https://ror.org/04xs57h96 GRID:grid.10025.36 Liverpool U. Oliver Lodge Laboratory, University of Liverpool, Liverpool, UK Burgard, Carsten INSPIRE-00423318 ORCID:0000-0002-6900-825X ROR:https://ror.org/01k97gp34 GRID:grid.5675.1 Dortmund U. Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany Burger, Angela Maria INSPIRE-00530530 ORCID:0000-0003-0685-4122 GRID:grid.15781.3a ROR:https://ror.org/03gc1p724 GRID:grid.508754.b L2IT, Toulouse L2IT, Université de Toulouse, CNRS/IN2P3, UPS, Toulouse, France Burghgrave, Blake Oliver INSPIRE-00354209 ORCID:0000-0001-5686-0948 ROR:https://ror.org/019kgqr73 GRID:grid.267315.4 Texas U., Arlington Department of Physics, University of Texas at Arlington, Arlington, TX, USA Burlayenko, Oleksandr ORCID:0000-0001-8283-935X ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Burleson, Jared Dynes ORCID:0000-0002-7898-2230 ROR:https://ror.org/047426m28 GRID:grid.35403.31 Illinois U., Urbana Department of Physics, University of Illinois, Urbana, IL, USA Burzynski, Jackson Carl ORCID:0000-0002-4690-0528 ROR:https://ror.org/0213rcc28 GRID:grid.61971.38 Simon Fraser U. Department of Physics, Simon Fraser University, Burnaby, BC, Canada Busch, Elena Laura ORCID:0000-0003-4482-2666 ROR:https://ror.org/00hj8s172 GRID:grid.21729.3f Nevis Labs, Columbia U. Nevis Laboratory, Columbia University, Irvington, NY, USA Buescher, Volker INSPIRE-00070225 ORCID:0000-0001-9196-0629 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Bussey, Peter John INSPIRE-00070265 ORCID:0000-0003-0988-7878 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Butler, John Mark INSPIRE-00179876 ORCID:0000-0003-2834-836X ROR:https://ror.org/05qwgg493 GRID:grid.189504.1 Boston U. Department of Physics, Boston University, Boston, MA, USA Buttar, Craig Macleod INSPIRE-00160192 ORCID:0000-0003-0188-6491 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Butterworth, Jonathan INSPIRE-00070318 ORCID:0000-0002-5905-5394 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Buttinger, Will INSPIRE-00229496 ORCID:0000-0002-5116-1897 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Rutherford Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Buxo Vazquez, Carlos Josue ORCID:0009-0007-8811-9135 ROR:https://ror.org/05hs6h993 GRID:grid.17088.36 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA Buzykaev, Alexey INSPIRE-00003784 ORCID:0000-0002-5458-5564 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Cabrera Urban, Susana INSPIRE-00211900 ORCID:0000-0001-7640-7913 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Cadamuro, Luca ORCID:0000-0001-8789-610X GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Cai, Huacheng INSPIRE-00568379 ORCID:0000-0001-7575-3603 ROR:https://ror.org/01an3r305 GRID:grid.21925.3d Pittsburgh U. Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA, USA Cai, Yuchen ORCID:0000-0003-4946-153X ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 GRID:grid.410726.6 INFN, Bologna UCAS, Beijing Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy University of Chinese Academy of Science (UCAS), Beijing, China Cai, Yizhou ORCID:0000-0003-2246-7456 ROR:https://ror.org/01rxvg760 GRID:grid.41156.37 Nanjing U. Department of Physics, Nanjing University, Nanjing, China Cairo, Valentina INSPIRE-00403090 ORCID:0000-0002-0758-7575 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Cakir, Orhan INSPIRE-00211923 ORCID:0000-0002-9016-138X ROR:https://ror.org/01wntqw50 GRID:grid.7256.6 Ankara U. Department of Physics, Ankara University, Ankara, Türkiye Calace, Noemi INSPIRE-00408949 ORCID:0000-0002-1494-9538 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Calafiura, Paolo INSPIRE-00070566 ORCID:0000-0002-1692-1678 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Calderini, Giovanni INSPIRE-00070597 ORCID:0000-0002-9495-9145 GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Calfayan, Philippe INSPIRE-00032964 ORCID:0000-0003-1600-464X ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Calic, Lara ORCID:0000-0001-9253-9350 ROR:https://ror.org/012a77v79 GRID:grid.4514.4 Lund U. Fysiska institutionen, Lunds universitet, Lund, Sweden Callea, Giuseppe INSPIRE-00514504 ORCID:0000-0001-5969-3786 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Caloba, Luiz Pereira INSPIRE-00211947 ROR:https://ror.org/03490as77 GRID:grid.8536.8 Rio de Janeiro Federal U. Universidade Federal do Rio de Janeiro COPPE/EE/IF, Rio de Janeiro, Brazil Calvet, David INSPIRE-00070696 ORCID:0000-0002-9953-5333 GRID:grid.433124.3 ROR:https://ror.org/0214k6v65 GRID:grid.470921.9 Clermont-Ferrand U. LPC, Université Clermont Auvergne, CNRS/IN2P3, Clermont-Ferrand, France Calvet, Samuel INSPIRE-00019519 ORCID:0000-0002-2531-3463 GRID:grid.433124.3 ROR:https://ror.org/0214k6v65 GRID:grid.470921.9 Clermont-Ferrand U. LPC, Université Clermont Auvergne, CNRS/IN2P3, Clermont-Ferrand, France Camacho Toro, Reina Coromoto INSPIRE-00235957 ORCID:0000-0002-9192-8028 GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Camarda, Stefano INSPIRE-00012655 ORCID:0000-0003-0479-7689 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Camarero Munoz, Daniel INSPIRE-00645295 ORCID:0000-0002-2855-7738 ROR:https://ror.org/05abbep66 GRID:grid.253264.4 Brandeis U. Department of Physics, Brandeis University, Waltham, MA, USA Camarri, Paolo INSPIRE-00226571 ORCID:0000-0002-5732-5645 GRID:grid.470219.9 ROR:https://ror.org/02p77k626 GRID:grid.6530.0 Rome U., Tor Vergata INFN Sezione di Roma Tor Vergata, Rome, Italy Dipartimento di Fisica, Università di Roma Tor Vergata, Rome, Italy Camincher, Clement INSPIRE-00438457 ORCID:0000-0001-5929-1357 ROR:https://ror.org/04s5mat29 GRID:grid.143640.4 Victoria U. Department of Physics and Astronomy, University of Victoria, Victoria, BC, Canada Campanelli, Mario INSPIRE-00070797 ORCID:0000-0001-6746-3374 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Camplani, Alessandra INSPIRE-00452211 ORCID:0000-0002-6386-9788 ROR:https://ror.org/035b05819 GRID:grid.5254.6 Bohr Inst. Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark Canale, Vincenzo INSPIRE-00211960 ORCID:0000-0003-2303-9306 GRID:grid.470211.1 ROR:https://ror.org/05290cv24 GRID:grid.4691.a Naples U. INFN Sezione di Napoli, Naples, Italy Dipartimento di Fisica, Università di Napoli, Naples, Italy Canbay, Ali Can ORCID:0000-0003-4602-473X ROR:https://ror.org/01wntqw50 GRID:grid.7256.6 Ankara U. Department of Physics, Ankara University, Ankara, Türkiye Canonero, Enzo ORCID:0000-0002-7180-4562 ROR:https://ror.org/04g2vpn86 GRID:grid.4970.a Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham, UK Cantero Garcia, Josu INSPIRE-00211972 ORCID:0000-0001-8449-1019 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Cao, Yumeng INSPIRE-00571488 ORCID:0000-0001-8747-2809 ROR:https://ror.org/047426m28 GRID:grid.35403.31 Illinois U., Urbana Department of Physics, University of Illinois, Urbana, IL, USA Capocasa, Francesca ORCID:0000-0002-3562-9592 ROR:https://ror.org/05abbep66 GRID:grid.253264.4 Brandeis U. Department of Physics, Brandeis University, Waltham, MA, USA Capua, Marcella INSPIRE-00053925 ORCID:0000-0002-2443-6525 ROR:https://ror.org/02rc97e94 GRID:grid.7778.f GRID:grid.463190.9 INFN, Cosenza Calabria U. Dipartimento di Fisica, Università della Calabria, Rende, Italy INFN Gruppo Collegato di Cosenza, Laboratori Nazionali di Frascati, Frascati, Italy Carbone, Antonio ORCID:0000-0002-4117-3800 ROR:https://ror.org/04w4m6z96 GRID:grid.470206.7 GRID:grid.4708.b INFN, Milan Milan U. INFN Sezione di Milano, Milan, Italy Dipartimento di Fisica, Università di Milano, Milan, Italy Cardarelli, Roberto INSPIRE-00212037 ORCID:0000-0003-4541-4189 GRID:grid.470219.9 ROR:https://ror.org/02p77k626 Rome U., Tor Vergata INFN Sezione di Roma Tor Vergata, Rome, Italy Cardenas, Juan Carlos, Jr. ORCID:0000-0002-6511-7096 ROR:https://ror.org/019kgqr73 GRID:grid.267315.4 Texas U., Arlington Department of Physics, University of Texas at Arlington, Arlington, TX, USA Cardiff, Michael Patrick ORCID:0000-0002-4519-7201 ROR:https://ror.org/05abbep66 GRID:grid.253264.4 Brandeis U. Department of Physics, Brandeis University, Waltham, MA, USA Carducci, Giovandomenico ORCID:0000-0002-4376-4911 ROR:https://ror.org/02rc97e94 GRID:grid.7778.f GRID:grid.463190.9 INFN, Cosenza Calabria U. Dipartimento di Fisica, Università della Calabria, Rende, Italy INFN Gruppo Collegato di Cosenza, Laboratori Nazionali di Frascati, Frascati, Italy Carli, Tancredi INSPIRE-00212045 ORCID:0000-0003-4058-5376 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Carlino, Giampaolo INSPIRE-00212057 ORCID:0000-0002-3924-0445 GRID:grid.470211.1 Naples U. INFN Sezione di Napoli, Naples, Italy Carlotto, Juan Ignacio ORCID:0000-0003-1718-307X ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Carlson, B.T. INSPIRE-00340092 ORCID:0000-0002-7550-7821 ROR:https://ror.org/01an3r305 GRID:grid.21925.3d ROR:https://ror.org/00xhcz327 GRID:grid.268217.8 Pittsburgh U. Westmont Coll. Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA, USA Department of Physics, Westmont College, Santa Barbara, USA Carlson, Evan Michael ORCID:0000-0002-4139-9543 ROR:https://ror.org/04s5mat29 GRID:grid.143640.4 Victoria U. Department of Physics and Astronomy, University of Victoria, Victoria, BC, Canada Carmignani, Joseph ORCID:0000-0002-1705-1061 ROR:https://ror.org/04xs57h96 GRID:grid.10025.36 Liverpool U. Oliver Lodge Laboratory, University of Liverpool, Liverpool, UK Carminati, Leonardo INSPIRE-00212069 ORCID:0000-0003-4535-2926 ROR:https://ror.org/04w4m6z96 GRID:grid.470206.7 GRID:grid.4708.b INFN, Milan Milan U. INFN Sezione di Milano, Milan, Italy Dipartimento di Fisica, Università di Milano, Milan, Italy Carnelli, Alberto ORCID:0000-0002-8405-0886 GRID:grid.433124.3 ROR:https://ror.org/049nhh297 GRID:grid.450330.1 Annecy, LAPP LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France Carnesale, Maria ORCID:0000-0003-3570-7332 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Caron, Sascha INSPIRE-00057327 ORCID:0000-0003-2941-2829 GRID:grid.420012.5 ROR:https://ror.org/016xsfp80 GRID:grid.5590.9 Nijmegen U. Institute for Mathematics, Astrophysics and Particle Physics, Radboud University/Nikhef, Nijmegen, The Netherlands Carquin Lopez, Edson INSPIRE-00023484 ORCID:0000-0002-7863-1166 ROR:https://ror.org/05510vn56 GRID:grid.12148.3e Santa Maria U., Valparaiso Departamento de Física, Universidad Técnica Federico Santa María, Valparaíso, Chile Carr, Isabel Beth ORCID:0000-0001-7431-4211 GRID:grid.1008.9 ROR:https://ror.org/01h06nz15 GRID:grid.453169.c Melbourne U. School of Physics, University of Melbourne, Victoria, Australia Carra, Sonia INSPIRE-00543668 ORCID:0000-0001-8650-942X GRID:grid.470213.3 ROR:https://ror.org/00s6t1f81 GRID:grid.8982.b INFN, Pavia Pavia U. INFN Sezione di Pavia, Pavia, Italy Dipartimento di Fisica, Università di Pavia, Pavia, Italy Carratta, Giuseppe ORCID:0000-0002-8846-2714 ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Carrion Martinez, Clara ORCID:0009-0004-9476-5991 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Carroll, Anthony Maurel ORCID:0000-0003-1692-2029 ROR:https://ror.org/0293rh119 GRID:grid.170202.6 Oregon U. Institute for Fundamental Science, University of Oregon, Eugene, OR, USA Casado Lechuga, Maria Del Pilar INSPIRE-00071410 ORCID:0000-0002-0394-5646 ROR:https://ror.org/03kpps236 GRID:grid.473715.3 GRID:grid.7080.f Barcelona, IFAE Barcelona, Autonoma U. Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Departament de Fisica de la Universitat Autonoma de Barcelona, Barcelona, Spain Casolaro, Pierluigi ORCID:0000-0002-2649-258X GRID:grid.470211.1 ROR:https://ror.org/05290cv24 GRID:grid.4691.a Naples U. INFN Sezione di Napoli, Naples, Italy Dipartimento di Fisica, Università di Napoli, Naples, Italy Caspar, Maximilian ORCID:0000-0001-9116-0461 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Castillo, Florencia Luciana INSPIRE-00584559 ORCID:0000-0002-1172-1052 GRID:grid.433124.3 ROR:https://ror.org/049nhh297 GRID:grid.450330.1 Annecy, LAPP LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France Castillo Garcia, Lucia INSPIRE-00388630 ORCID:0000-0003-1396-2826 ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Castillo Gimenez, Victoria INSPIRE-00212120 ORCID:0000-0002-8245-1790 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Castro, Nuno INSPIRE-00036257 ORCID:0000-0001-8491-4376 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 ROR:https://ror.org/037wpkx04 GRID:grid.10328.38 LIP, Lisbon Minho U. Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Departamento de Física, Escola de Ciências, Universidade do Minho, Braga, Portugal Catinaccio, Andrea INSPIRE-00212343 ORCID:0000-0001-8774-8887 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Catmore, James INSPIRE-00212355 ORCID:0000-0001-8915-0184 ROR:https://ror.org/01xtthb56 GRID:grid.5510.1 Oslo U. Department of Physics, University of Oslo, Oslo, Norway Cavaliere, Tom ORCID:0000-0003-2897-0466 GRID:grid.433124.3 ROR:https://ror.org/049nhh297 GRID:grid.450330.1 Annecy, LAPP LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France Cavaliere, Viviana INSPIRE-00010976 ORCID:0000-0002-4297-8539 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Caviedes Betancourt, Laura Juliana ORCID:0000-0002-9155-998X ROR:https://ror.org/059yx9a68 GRID:grid.10689.36 Colombia, U. Natl. Departamento de Física, Universidad Nacional de Colombia, Bogotá, Colombia Celebi, Emre INSPIRE-00406045 ORCID:0000-0003-3793-0159 ROR:https://ror.org/03081nz23 GRID:grid.508740.e Istinye U., Istanbul Istinye University, Sariyer, Istanbul, Türkiye Cella, Sofia ORCID:0000-0001-7593-0243 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Cepaitis, Vilius ORCID:0000-0002-4809-4056 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Cerny, Karel INSPIRE-00184842 ORCID:0000-0003-0683-2177 ROR:https://ror.org/04qxnmv42 GRID:grid.10979.36 Palacky U. Palacký University, Joint Laboratory of Optics, Olomouc, Czech Republic Santiago Cerqueira, Augusto INSPIRE-00212405 ORCID:0000-0002-4300-703X ROR:https://ror.org/04yqw9c44 GRID:grid.411198.4 Juiz de Fora U. Departamento de Engenharia Elétrica, Universidade Federal de Juiz de Fora (UFJF), Juiz de Fora, Brazil Cerri, Alex INSPIRE-00050967 ORCID:0000-0002-1904-6661 GRID:grid.470216.6 ROR:https://ror.org/03ad39j10 GRID:grid.5395.a GRID:grid.9024.f INFN, Pisa Pisa U. Siena U. INFN Sezione di Pisa, Pisa, Italy Dipartimento di Fisica E. Fermi, Università di Pisa, Pisa, Italy University of Siena, Siena, Italy Cerrito, Lucio INSPIRE-00050901 ORCID:0000-0002-8077-7850 GRID:grid.470219.9 ROR:https://ror.org/02p77k626 GRID:grid.6530.0 Rome U., Tor Vergata INFN Sezione di Roma Tor Vergata, Rome, Italy Dipartimento di Fisica, Università di Roma Tor Vergata, Rome, Italy Cerutti, Fabio INSPIRE-00212418 ORCID:0000-0001-9669-9642 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Cervato, Beatrice ORCID:0000-0002-5200-0016 ROR:https://ror.org/04w4m6z96 GRID:grid.470206.7 GRID:grid.4708.b INFN, Milan Milan U. INFN Sezione di Milano, Milan, Italy Dipartimento di Fisica, Università di Milano, Milan, Italy Cervelli, Alberto INSPIRE-00025073 ORCID:0000-0002-0518-1459 GRID:grid.470193.8 ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Sezione di Bologna, Bologna, Italy Cesarini, Gianmario ORCID:0000-0001-9073-0725 ROR:https://ror.org/049jf1a25 GRID:grid.463190.9 Frascati INFN e Laboratori Nazionali di Frascati, Frascati, Italy Cetin, Serkant INSPIRE-00186619 ORCID:0000-0001-5050-8441 ROR:https://ror.org/03081nz23 GRID:grid.508740.e Istinye U., Istanbul Istinye University, Sariyer, Istanbul, Türkiye Chabrillat, Paul Mickael ORCID:0000-0002-5312-941X GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Chakkappai, Ragansu ORCID:0009-0008-4577-9210 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Chakraborty, Snigdho ORCID:0000-0001-9671-1082 ROR:https://ror.org/01a77tt86 GRID:grid.7372.1 Warwick U. Department of Physics, University of Warwick, Coventry, UK Chan, Jay ORCID:0000-0001-7069-0295 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Chan, Wai Yuen INSPIRE-00651271 ORCID:0000-0002-5369-8540 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Chapman, John Derek INSPIRE-00029402 ORCID:0000-0002-2926-8962 ROR:https://ror.org/013meh722 GRID:grid.5335.0 Cambridge U. Cavendish Laboratory, University of Cambridge, Cambridge, UK Chapon, Emilien ORCID:0000-0001-6968-9828 ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Chargeishvili, Bakar INSPIRE-00641098 ORCID:0000-0002-5376-2397 ROR:https://ror.org/05fd1hd85 GRID:grid.26193.3f Tbilisi State U. High Energy Physics Institute, Tbilisi State University, Tbilisi, Georgia Charlton, Dave INSPIRE-00072301 ORCID:0000-0003-0211-2041 ROR:https://ror.org/03angcq70 GRID:grid.6572.6 Birmingham U. School of Physics and Astronomy, University of Birmingham, Birmingham, UK Chauhan, Chainika ORCID:0000-0001-5725-9134 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Che, Yimin ORCID:0000-0001-6623-1205 ROR:https://ror.org/01rxvg760 GRID:grid.41156.37 Nanjing U. Department of Physics, Nanjing University, Nanjing, China Chekanov, Sergei INSPIRE-00072460 ORCID:0000-0001-7314-7247 ROR:https://ror.org/05gvnxz63 GRID:grid.187073.a Argonne High Energy Physics Division, Argonne National Laboratory, Argonne, IL, USA Chekulaev, Sergey INSPIRE-00212450 ORCID:0000-0002-4034-2326 ROR:https://ror.org/03kgj4539 GRID:grid.232474.4 TRIUMF TRIUMF, Vancouver, BC, Canada Chelkov, G.A. INSPIRE-00212473 ORCID:0000-0002-3468-9761 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Chen, Boping INSPIRE-00651284 ORCID:0000-0002-3034-8943 ROR:https://ror.org/04mhzgx49 GRID:grid.12136.37 Tel Aviv U. Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv, Israel Chen, Charlie ORCID:0000-0002-7985-9023 ROR:https://ror.org/04s5mat29 GRID:grid.143640.4 Victoria U. Chen, B. ORCID:0000-0002-7985-9023 GRID:grid.143640.4 ROR:https://ror.org/04s5mat29 Victoria U. Department of Physics and Astronomy, University of Victoria, Victoria, BC, Canada Chen, Huirun ORCID:0000-0002-5895-6799 ROR:https://ror.org/01rxvg760 GRID:grid.41156.37 Nanjing U. Department of Physics, Nanjing University, Nanjing, China Chen, Hucheng INSPIRE-00304146 ORCID:0000-0002-9936-0115 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Chen, Jing INSPIRE-00551857 ORCID:0000-0002-2554-2725 ROR:https://ror.org/0220qvk04 GRID:grid.16821.3c Shanghai Jiao Tong U. State Key Laboratory of Dark Matter Physics, School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MOE), SKLPPC, Shanghai, China Chen, Jiayi ORCID:0000-0003-1586-5253 ROR:https://ror.org/0213rcc28 GRID:grid.61971.38 Simon Fraser U. Department of Physics, Simon Fraser University, Burnaby, BC, Canada Chen, Maggie ORCID:0000-0001-7021-3720 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Chen, Shion INSPIRE-00417808 ORCID:0000-0001-7987-9764 ROR:https://ror.org/02kpeqv85 GRID:grid.258799.8 Kyoto U. Faculty of Science, Kyoto University, Kyoto, Japan Chen, Shenjian INSPIRE-00072626 ORCID:0000-0003-0447-5348 ROR:https://ror.org/01rxvg760 GRID:grid.41156.37 Nanjing U. Department of Physics, Nanjing University, Nanjing, China Chen, Xiang ORCID:0000-0003-4977-2717 ROR:https://ror.org/0220qvk04 GRID:grid.16821.3c Shanghai Jiao Tong U. State Key Laboratory of Dark Matter Physics, School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MOE), SKLPPC, Shanghai, China Chen, Xin INSPIRE-00145153 ORCID:0000-0003-4027-3305 ROR:https://ror.org/03cve4549 GRID:grid.12527.33 GRID:grid.495569.2 Tsinghua U., Beijing CICQM, Beijing Physics Department, Tsinghua University, Beijing, China The Collaborative Innovation Center of Quantum Matter (CICQM), Beijing, China Chen, Zhiliang ORCID:0009-0007-8578-9328 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Cheng, Alkaid ORCID:0000-0002-4086-1847 ROR:https://ror.org/01y2jtd41 GRID:grid.14003.36 Wisconsin U., Madison Crosetti, Nanni INSPIRE-00212870 ORCID:0000-0001-5990-4811 ROR:https://ror.org/02rc97e94 GRID:grid.7778.f INFN, Cosenza Calabria U. Cunningham, Liam ORCID:0000-0001-5517-8795 GRID:grid.28803.31 ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. Department of Physics, University of Wisconsin, Madison, WI, USA Cheng, Hok Chuen Tom INSPIRE-00357007 ORCID:0000-0002-8912-4389 ROR:https://ror.org/00t33hh48 GRID:grid.10784.3a Hong Kong, Chinese U. Department of Physics, Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China Cheong, Sanha ORCID:0000-0002-2797-6383 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Cheplakov, Alexander INSPIRE-00001054 ORCID:0000-0002-0967-2351 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Cherepanova, Elizaveta ORCID:0000-0002-3150-8478 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands El Moursli, R.Cherkaoui INSPIRE-00212497 ORCID:0000-0002-5842-2818 ROR:https://ror.org/00r8w8f84 GRID:grid.31143.34 Mohammed V U., Agdal Faculté des sciences, Université Mohammed V, Rabat, Morocco Cheu, Elliott INSPIRE-00072813 ORCID:0000-0002-2562-9724 ROR:https://ror.org/03m2x1q45 GRID:grid.134563.6 Arizona U. Department of Physics, University of Arizona, Tucson, AZ, USA Cheung, Kingman INSPIRE-00072840 ORCID:0000-0003-2176-4053 ROR:https://ror.org/00zdnkx70 GRID:grid.38348.34 Taiwan, Natl. Tsing Hua U. Department of Physics, National Tsing Hua University, Hsinchu, Taiwan Chevalier, Laurent INSPIRE-00212532 ORCID:0000-0003-3762-7264 ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Chiarella, Vitaliano INSPIRE-00332290 ORCID:0000-0002-4210-2924 ROR:https://ror.org/049jf1a25 GRID:grid.463190.9 Frascati INFN e Laboratori Nazionali di Frascati, Frascati, Italy Chiarelli, Giorgio INSPIRE-00072892 ORCID:0000-0001-9851-4816 GRID:grid.470216.6 ROR:https://ror.org/05symbg58 INFN, Pisa INFN Sezione di Pisa, Pisa, Italy AChien, Andrew ORCID:0000-0002-1204-206X GRID:grid.170205.1 GRID:grid.187073.a ROR:https://ror.org/02mpq6x41 ROR:https://ror.org/05gvnxz63 Illinois U., Chicago Argonne Associated to Department of Computer Science, University of Chicago, Chicago, IL, USA Associated to Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL, USA Chiodini, Gabriele INSPIRE-00212573 ORCID:0000-0002-2458-9513 GRID:grid.470680.d ROR:https://ror.org/00qrf6g60 INFN, Lecce INFN Sezione di Lecce, Lecce, Italy Chisholm, Andrew Stephen INSPIRE-00236049 ORCID:0000-0001-9214-8528 ROR:https://ror.org/03angcq70 GRID:grid.6572.6 Birmingham U. School of Physics and Astronomy, University of Birmingham, Birmingham, UK Chitan, Adrian INSPIRE-00236054 ORCID:0000-0003-2262-4773 ROR:https://ror.org/00d3pnh21 GRID:grid.443874.8 Bucharest, IFIN-HH Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania Chitishvili, Mariam ORCID:0000-0003-1523-7783 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Chizhov, Mihail INSPIRE-00227239 ORCID:0000-0001-5841-3316 GRID:grid.9132.9 GRID:grid.11355.33 ROR:https://ror.org/01ggx4157 CERN Sofia U. Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Faculty of Physics, Sofia University, ‘St. Kliment Ohridski’, Sofia, Bulgaria Choi, Kyungeon INSPIRE-00180982 ORCID:0000-0003-0748-694X ROR:https://ror.org/00hj54h04 GRID:grid.89336.37 Texas U. Department of Physics, University of Texas at Austin, Austin, TX, USA Chou, Yuan-Tang ORCID:0000-0002-2204-5731 GRID:grid.34477.33 ROR:https://ror.org/03d17d270 GRID:grid.504155.0 Washington U., Seattle Department of Physics, University of Washington, Seattle, WA, USA Chow, E.Y.S. INSPIRE-00570908 ORCID:0000-0002-4549-2219 GRID:grid.420012.5 ROR:https://ror.org/016xsfp80 GRID:grid.5590.9 Nijmegen U. Institute for Mathematics, Astrophysics and Particle Physics, Radboud University/Nikhef, Nijmegen, The Netherlands Chu, Michael Kwok Lam ORCID:0000-0002-7442-6181 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Chu, Ming Chung INSPIRE-00436262 ORCID:0000-0002-1971-0403 ROR:https://ror.org/00t33hh48 GRID:grid.10784.3a Hong Kong, Chinese U. Department of Physics, Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China Chu, Xiaotong ORCID:0000-0003-2848-0184 GRID:grid.9227.e GRID:grid.410726.6 ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. UCAS, Beijing Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China University of Chinese Academy of Science (UCAS), Beijing, China Chubinidze, Zaza ORCID:0000-0003-2005-5992 ROR:https://ror.org/049jf1a25 GRID:grid.463190.9 Frascati INFN e Laboratori Nazionali di Frascati, Frascati, Italy Chudoba, Jiri INSPIRE-00150160 ORCID:0000-0002-6425-2579 GRID:grid.424881.3 ROR:https://ror.org/04jymbd90 GRID:grid.425110.3 Prague, Inst. Phys. Institute of Physics of the Czech Academy of Sciences, Prague, Czech Republic Chwastowski, Janusz INSPIRE-00172390 ORCID:0000-0002-6190-8376 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Cieri, Davide ORCID:0000-0002-3533-3847 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Ciesla, Krzysztof ORCID:0000-0003-2751-3474 ROR:https://ror.org/00bas1c41 GRID:grid.9922.0 AGH-UST, Cracow AGH University of Krakow, Faculty of Physics and Applied Computer Science, Krakow, Poland Cindro, Vladimir INSPIRE-00073566 ORCID:0000-0002-2037-7185 GRID:grid.8954.0 ROR:https://ror.org/05060sz93 GRID:grid.11375.31 Stefan Inst., Ljubljana Department of Experimental Particle Physics, Jožef Stefan Institute and Department of Physics, University of Ljubljana, Ljubljana, Slovenia Ciocio, Alessandra INSPIRE-00073579 ORCID:0000-0002-3081-4879 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Cirotto, Francesco INSPIRE-00414488 ORCID:0000-0001-6556-856X GRID:grid.470211.1 ROR:https://ror.org/05290cv24 GRID:grid.4691.a Naples U. INFN Sezione di Napoli, Naples, Italy Dipartimento di Fisica, Università di Napoli, Naples, Italy Citron, Z.H. INSPIRE-00241320 ORCID:0000-0003-1831-6452 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Citterio, Mauro INSPIRE-00339611 ORCID:0000-0002-0842-0654 GRID:grid.470206.7 ROR:https://ror.org/04w4m6z96 INFN, Milan INFN Sezione di Milano, Milan, Italy Ciubotaru, Dan Andrei ROR:https://ror.org/00d3pnh21 GRID:grid.443874.8 Bucharest, IFIN-HH Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania Clark, Allan INSPIRE-00073664 ORCID:0000-0001-8341-5911 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Clark, Philip INSPIRE-00144539 ORCID:0000-0002-3777-0880 ROR:https://ror.org/01nrxwf90 GRID:grid.4305.2 Edinburgh U. SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK Clarke Hall, Noah ORCID:0000-0001-9236-7325 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Clarry, Cameron ORCID:0000-0002-6031-8788 ROR:https://ror.org/03dbr7087 GRID:grid.17063.33 Toronto U. Department of Physics, University of Toronto, Toronto, ON, Canada Clawson, Savannah ORCID:0000-0001-9952-934X ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Clement, Christophe INSPIRE-00147062 ORCID:0000-0003-3122-3605 ROR:https://ror.org/05f0yaq80 GRID:grid.10548.38 Stockholm U. Stockholm U., OKC Department of Physics, Stockholm University, Stockholm, Sweden Oskar Klein Centre, Stockholm, Sweden Coadou, Yann INSPIRE-00054627 ORCID:0000-0001-8195-7004 ROR:https://ror.org/00fw8bp86 GRID:grid.470046.1 Marseille, CPPM CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France Cobal, Marina INSPIRE-00073873 ORCID:0000-0003-3309-0762 ROR:https://ror.org/05ht0mh31 GRID:grid.5390.f INFN, Udine Udine U. INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy Dipartimento Politecnico di Ingegneria e Architettura, Università di Udine, Udine, Italy Coccaro, Andrea INSPIRE-00212651 ORCID:0000-0003-2368-4559 GRID:grid.470205.4 ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Sezione di Genova, Genoa, Italy Barrue, R.F.Coelho ORCID:0000-0001-8985-5379 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 LIP, Lisbon Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Coelho Lopes De Sa, Rafael INSPIRE-00184069 ORCID:0000-0001-5200-9195 ROR:https://ror.org/0072zz521 GRID:grid.266683.f Massachusetts U., Amherst Department of Physics, University of Massachusetts, Amherst, MA, USA Coelli, Simone ORCID:0000-0002-5145-3646 GRID:grid.470206.7 ROR:https://ror.org/04w4m6z96 INFN, Milan INFN Sezione di Milano, Milan, Italy Colangeli, Luca Sesto ORCID:0009-0009-2414-9989 ROR:https://ror.org/03dbr7087 GRID:grid.17063.33 Toronto U. Department of Physics, University of Toronto, Toronto, ON, Canada Cole, Brian Andrew INSPIRE-00049517 ORCID:0000-0002-5092-2148 ROR:https://ror.org/00hj8s172 GRID:grid.21729.3f Nevis Labs, Columbia U. Nevis Laboratory, Columbia University, Irvington, NY, USA Collado Soto, Pablo ORCID:0009-0006-9050-8984 ROR:https://ror.org/01cby8j38 GRID:grid.5515.4 Madrid, Autonoma U. Departamento de Física Teorica C-15 and CIAFF, Universidad Autónoma de Madrid, Madrid, Spain Collot, Johann INSPIRE-00074106 ORCID:0000-0002-9412-7090 GRID:grid.5676.2 ROR:https://ror.org/03f0apy98 GRID:grid.472561.3 LPSC, Grenoble LPSC, Université Grenoble Alpes, CNRS/IN2P3, Grenoble INP, Grenoble, France Coluccia, Maria Rita INSPIRE-00005223 GRID:grid.470680.d ROR:https://ror.org/03fc1k060 GRID:grid.9906.6 INFN, Lecce Salento U. INFN Sezione di Lecce, Lecce, Italy Dipartimento di Matematica e Fisica, Università del Salento, Lecce, Italy Conde Muino, Patricia INSPIRE-00212700 ORCID:0000-0002-9187-7478 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 ROR:https://ror.org/01c27hj86 GRID:grid.9983.b LIP, Lisbon Lisbon, IST Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Departamento de Física, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal Connell, Matt ORCID:0000-0002-4799-7560 ROR:https://ror.org/04z6c2n17 GRID:grid.412988.e Johannesburg U. Department of Mechanical Engineering Science, University of Johannesburg, Johannesburg, South Africa Connell, Simon INSPIRE-00148123 ORCID:0000-0001-6000-7245 ROR:https://ror.org/04z6c2n17 GRID:grid.412988.e Johannesburg U. Department of Mechanical Engineering Science, University of Johannesburg, Johannesburg, South Africa Conroy, Eimear Isobel ORCID:0000-0002-0215-2767 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Conventi, Francesco INSPIRE-00212748 ORCID:0000-0002-5575-1413 GRID:grid.470211.1 GRID:grid.17682.3a Naples U. Parthenope U., Naples INFN Sezione di Napoli, Naples, Italy Università di Napoli Parthenope, Naples, Italy Cooper-Sarkar, A.M. INSPIRE-00074346 ORCID:0000-0002-7107-5902 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Corazzina, Lorenzo ORCID:0009-0001-4834-4369 GRID:grid.470218.8 ROR:https://ror.org/02be6w209 GRID:grid.7841.a INFN, Rome Rome U. INFN Sezione di Roma, Rome, Italy Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy Corchia, Federico Andrea ORCID:0000-0002-1788-3204 ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Cordeiro Oudot Choi, Artur ORCID:0000-0001-7687-8299 GRID:grid.34477.33 ROR:https://ror.org/03d17d270 GRID:grid.504155.0 Washington U., Seattle Department of Physics, University of Washington, Seattle, WA, USA Corpe, Louie Dartmoor INSPIRE-00394271 ORCID:0000-0003-2136-4842 GRID:grid.433124.3 ROR:https://ror.org/0214k6v65 GRID:grid.470921.9 Clermont-Ferrand U. LPC, Université Clermont Auvergne, CNRS/IN2P3, Clermont-Ferrand, France Corradi, Massimo INSPIRE-00001854 ORCID:0000-0001-8729-466X GRID:grid.470218.8 ROR:https://ror.org/02be6w209 GRID:grid.7841.a INFN, Rome Rome U. INFN Sezione di Roma, Rome, Italy Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy Corriveau, Francois INSPIRE-00074601 ORCID:0000-0002-4970-7600 ROR:https://ror.org/01pxwe438 GRID:grid.14709.3b GRID:grid.421197.8 McGill U. IPP, Canada Department of Physics, McGill University, Montreal, QC, Canada Institute of Particle Physics (IPP), Toronto, Canada Cortes-Gonzalez, Arely INSPIRE-00212778 ORCID:0000-0002-3279-3370 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Costa Mezquita, Maria Jose INSPIRE-00212791 ORCID:0000-0002-2064-2954 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Costanza, Francesco INSPIRE-00239201 ORCID:0000-0002-8056-8469 GRID:grid.433124.3 ROR:https://ror.org/049nhh297 GRID:grid.450330.1 Annecy, LAPP LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France Costanzo, Davide INSPIRE-00212803 ORCID:0000-0003-4920-6264 ROR:https://ror.org/05krs5044 GRID:grid.11835.3e Sheffield U. Department of Physics and Astronomy, University of Sheffield, Sheffield, UK Cote, Benjamin ORCID:0000-0003-2444-8267 ROR:https://ror.org/00rs6vg23 GRID:grid.261331.4 Ohio State U. Ohio State University, Columbus, OH, USA Couthures, Jeremy ORCID:0009-0004-3577-576X GRID:grid.433124.3 ROR:https://ror.org/049nhh297 GRID:grid.450330.1 Annecy, LAPP LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France Cowan, Glen INSPIRE-00145177 ORCID:0000-0001-8363-9827 ROR:https://ror.org/04g2vpn86 GRID:grid.4970.a Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham, UK Cranmer, Kyle Stuart INSPIRE-00074922 ORCID:0000-0002-5769-7094 GRID:grid.28803.31 ROR:https://ror.org/01y2jtd41 GRID:grid.14003.36 Wisconsin U., Madison Department of Physics, University of Wisconsin, Madison, WI, USA Cremer, Lucas ORCID:0009-0009-6459-2723 ROR:https://ror.org/01k97gp34 GRID:grid.5675.1 Dortmund U. Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany Cremonini, Davide ORCID:0000-0003-1687-3079 ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Crepe-Renaudin, Sabine Chrystel INSPIRE-00074993 ORCID:0000-0001-5980-5805 GRID:grid.5676.2 ROR:https://ror.org/03f0apy98 GRID:grid.472561.3 LPSC, Grenoble LPSC, Université Grenoble Alpes, CNRS/IN2P3, Grenoble INP, Grenoble, France Crescioli, Francesco INSPIRE-00030662 ORCID:0000-0001-6457-2575 GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Cresta, Tommaso ORCID:0009-0002-7471-9352 GRID:grid.470213.3 ROR:https://ror.org/00s6t1f81 GRID:grid.8982.b INFN, Pavia Pavia U. INFN Sezione di Pavia, Pavia, Italy Dipartimento di Fisica, Università di Pavia, Pavia, Italy Cristinziani, Markus INSPIRE-00058643 ORCID:0000-0003-3893-9171 ROR:https://ror.org/02azyry73 GRID:grid.5836.8 Siegen U. Department Physik, Universität Siegen, Siegen, Germany Cristoforetti, Marco ORCID:0000-0002-0127-1342 GRID:grid.470224.7 ROR:https://ror.org/05trd4x28 GRID:grid.11696.39 TIFPA-INFN, Trento Trento U. INFN-TIFPA, Povo, Italy Università degli Studi di Trento, Trento, Italy Croft, Vincent Alexander INSPIRE-00366990 ORCID:0000-0002-8731-4525 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Crosby, Jacob Edwin ORCID:0000-0002-6579-3334 ROR:https://ror.org/01g9vbr38 GRID:grid.65519.3e Oklahoma State U. Department of Physics, Oklahoma State University, Stillwater, OK, USA Crosetti, G. ORCID:0000-0001-5990-4811 GRID:grid.7778.f GRID:grid.463190.9 ROR:https://ror.org/02rc97e94 ROR:https://ror.org/049jf1a25 Calabria U. Frascati Dipartimento di Fisica, Università della Calabria, Rende, Italy INFN Gruppo Collegato di Cosenza, Laboratori Nazionali di Frascati, Frascati, Italy Cueto Gomez, Ana Rosario INSPIRE-00517145 ORCID:0000-0003-1494-7898 ROR:https://ror.org/01cby8j38 GRID:grid.5515.4 Madrid, Autonoma U. Departamento de Física Teorica C-15 and CIAFF, Universidad Autónoma de Madrid, Madrid, Spain Cui, Hanfei ORCID:0009-0009-3212-0967 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Cui, Zhaoyuan ORCID:0000-0002-4317-2449 ROR:https://ror.org/03m2x1q45 GRID:grid.134563.6 Arizona U. Department of Physics, University of Arizona, Tucson, AZ, USA Cunnett, Betsy ORCID:0009-0001-0682-6853 ROR:https://ror.org/00ayhx656 GRID:grid.12082.39 Sussex U. Department of Physics and Astronomy, University of Sussex, Brighton, UK Cunningham, W.R. ORCID:0000-0001-5517-8795 GRID:grid.8756.c ROR:https://ror.org/00vtgdb53 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Curcio, Francesco ORCID:0000-0002-8682-9316 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Curran, Jennifer Rachel ORCID:0000-0001-9637-0484 ROR:https://ror.org/01nrxwf90 GRID:grid.4305.2 Edinburgh U. SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK Da Cunha Sargedas De Sousa, M.J. INSPIRE-00339043 ORCID:0000-0001-7991-593X GRID:grid.5606.5 ROR:https://ror.org/02v89pq06 GRID:grid.470205.4 INFN, Genoa Genoa U. Dipartimento di Fisica, Università di Genova, Genoa, Italy INFN Sezione di Genova, Genoa, Italy Da Fonseca Pinto, Joao Victor ORCID:0000-0003-1746-1914 ROR:https://ror.org/03490as77 GRID:grid.8536.8 Rio de Janeiro Federal U. Universidade Federal do Rio de Janeiro COPPE/EE/IF, Rio de Janeiro, Brazil Da Via, Cinzia INSPIRE-00212924 ORCID:0000-0001-6154-7323 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Dabrowski, Wladyslaw INSPIRE-00178895 ORCID:0000-0001-9061-9568 ROR:https://ror.org/00bas1c41 GRID:grid.9922.0 AGH-UST, Cracow AGH University of Krakow, Faculty of Physics and Applied Computer Science, Krakow, Poland Dado, Tomas INSPIRE-00508032 ORCID:0000-0002-7050-2669 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Dahbi, Salah-Eddine INSPIRE-00563520 ORCID:0000-0002-5222-7894 ROR:https://ror.org/05bxb3784 GRID:grid.28665.3f Taiwan, Inst. Phys. Institute of Physics, Academia Sinica, Taipei, Taiwan Dai, Tiesheng INSPIRE-00212987 ORCID:0000-0002-9607-5124 ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Dal Santo, Daniele ORCID:0000-0001-7176-7979 ROR:https://ror.org/02k7v4d05 GRID:grid.5734.5 Bern U., LHEP Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics, University of Bern, Bern, Switzerland Dallapiccola, Carlo INSPIRE-00075606 ORCID:0000-0002-1391-2477 ROR:https://ror.org/0072zz521 GRID:grid.266683.f Massachusetts U., Amherst Department of Physics, University of Massachusetts, Amherst, MA, USA Dam, Mogens INSPIRE-00075612 ORCID:0000-0001-6278-9674 ROR:https://ror.org/035b05819 GRID:grid.5254.6 Bohr Inst. Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark D'Amen, Gabriele INSPIRE-00508870 ORCID:0000-0002-9742-3709 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA D'Amico, Valerio ORCID:0000-0002-2081-0129 ROR:https://ror.org/05591te55 GRID:grid.5252.0 Munich U. Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany Damp, Johannes Frederic INSPIRE-00584568 ORCID:0000-0002-7290-1372 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Dandoy, Jeff INSPIRE-00396074 ORCID:0000-0002-9271-7126 ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada D'Andrea, Michele ORCID:0009-0003-1212-5564 GRID:grid.5606.5 ROR:https://ror.org/02v89pq06 GRID:grid.470205.4 INFN, Genoa Genoa U. Dipartimento di Fisica, Università di Genova, Genoa, Italy INFN Sezione di Genova, Genoa, Italy Dannheim, Dominik INSPIRE-00226647 ORCID:0000-0001-8325-7650 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland D'Anniballe, Gabriele ORCID:0009-0002-7042-1268 GRID:grid.470216.6 ROR:https://ror.org/03ad39j10 GRID:grid.5395.a INFN, Pisa Pisa U. INFN Sezione di Pisa, Pisa, Italy Dipartimento di Fisica E. Fermi, Università di Pisa, Pisa, Italy Danninger, Matthias INSPIRE-00324867 ORCID:0000-0002-7807-7484 ROR:https://ror.org/0213rcc28 GRID:grid.61971.38 Simon Fraser U. Department of Physics, Simon Fraser University, Burnaby, BC, Canada Dao, Valerio INSPIRE-00213005 ORCID:0000-0003-1645-8393 ROR:https://ror.org/05qghxh33 GRID:grid.36425.36 SUNY, Stony Brook Departments of Physics and Astronomy, Stony Brook University, Stony Brook, NY, USA Darbo, Nanni INSPIRE-00213017 ORCID:0000-0003-2165-0638 INFN, Genoa Darbo, G. ORCID:0000-0003-2165-0638 GRID:grid.470205.4 ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Sezione di Genova, Genoa, Italy Das, Sruthy Jyothi ORCID:0000-0003-2693-3389 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Dattola, Filippo ORCID:0000-0003-3316-8574 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany D'Auria, Saverio INSPIRE-00212973 ORCID:0000-0003-3393-6318 ROR:https://ror.org/04w4m6z96 GRID:grid.470206.7 GRID:grid.4708.b INFN, Milan Milan U. INFN Sezione di Milano, Milan, Italy Dipartimento di Fisica, Università di Milano, Milan, Italy D'Avanzo, Antonio ORCID:0000-0002-1104-3650 GRID:grid.470211.1 ROR:https://ror.org/05290cv24 GRID:grid.4691.a Naples U. INFN Sezione di Napoli, Naples, Italy Dipartimento di Fisica, Università di Napoli, Naples, Italy Davidek, Tomas INSPIRE-00075913 ORCID:0000-0002-3770-8307 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Davidson, Joel ORCID:0009-0005-7915-2879 ROR:https://ror.org/01a77tt86 GRID:grid.7372.1 Warwick U. Department of Physics, University of Warwick, Coventry, UK Dawson, Ian INSPIRE-00213091 ORCID:0000-0002-5177-8950 ROR:https://ror.org/026zzn846 GRID:grid.4868.2 Queen Mary, U. of London Department of Physics and Astronomy, Queen Mary University of London, London, UK De, Kaushik INSPIRE-00300320 ORCID:0000-0002-5647-4489 ROR:https://ror.org/019kgqr73 GRID:grid.267315.4 Texas U., Arlington Department of Physics, University of Texas at Arlington, Arlington, TX, USA De Almeida Rossi, Carolina ORCID:0009-0000-6048-4842 ROR:https://ror.org/03dbr7087 GRID:grid.17063.33 Toronto U. Department of Physics, University of Toronto, Toronto, ON, Canada De Asmundis, Riccardo INSPIRE-00213110 ORCID:0000-0002-7268-8401 GRID:grid.470211.1 Naples U. INFN Sezione di Napoli, Naples, Italy De Biase, Nicola ORCID:0000-0002-5586-8224 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany De Castro, Stefano INSPIRE-00213121 ORCID:0000-0003-2178-5620 ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy De Groot, Nicolo INSPIRE-00213157 ORCID:0000-0001-6850-4078 GRID:grid.420012.5 ROR:https://ror.org/016xsfp80 GRID:grid.5590.9 Nijmegen U. Institute for Mathematics, Astrophysics and Particle Physics, Radboud University/Nikhef, Nijmegen, The Netherlands De Jong, Paul INSPIRE-00093889 ORCID:0000-0002-5330-2614 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands De La Torre Perez, Hector INSPIRE-00236142 ORCID:0000-0002-4516-5269 ROR:https://ror.org/012wxa772 GRID:grid.261128.e Northern Illinois U. Department of Physics, Northern Illinois University, DeKalb, IL, USA De Maria, Antonio INSPIRE-00470316 ORCID:0000-0001-6651-845X ROR:https://ror.org/01rxvg760 GRID:grid.41156.37 Nanjing U. Department of Physics, Nanjing University, Nanjing, China De Salvo, Alessandro INSPIRE-00213182 ORCID:0000-0001-8099-7821 GRID:grid.470218.8 ROR:https://ror.org/05eva6s33 INFN, Rome INFN Sezione di Roma, Rome, Italy De Sanctis, Umberto INSPIRE-00213194 ORCID:0000-0003-4704-525X GRID:grid.470219.9 ROR:https://ror.org/02p77k626 GRID:grid.6530.0 Rome U., Tor Vergata INFN Sezione di Roma Tor Vergata, Rome, Italy Dipartimento di Fisica, Università di Roma Tor Vergata, Rome, Italy De Santis, Francesco ORCID:0000-0003-0120-2096 GRID:grid.470680.d ROR:https://ror.org/03fc1k060 GRID:grid.9906.6 INFN, Lecce Salento U. INFN Sezione di Lecce, Lecce, Italy Dipartimento di Matematica e Fisica, Università del Salento, Lecce, Italy De Santo, Antonella INSPIRE-00076214 ORCID:0000-0002-9158-6646 ROR:https://ror.org/00ayhx656 GRID:grid.12082.39 Sussex U. Department of Physics and Astronomy, University of Sussex, Brighton, UK De Vivie De Regie, Jean-Baptiste INSPIRE-00213200 ORCID:0000-0001-9163-2211 GRID:grid.5676.2 ROR:https://ror.org/03f0apy98 GRID:grid.472561.3 LPSC, Grenoble LPSC, Université Grenoble Alpes, CNRS/IN2P3, Grenoble INP, Grenoble, France Debevc, Jernej ORCID:0000-0001-9324-719X GRID:grid.8954.0 ROR:https://ror.org/05060sz93 GRID:grid.11375.31 Stefan Inst., Ljubljana Department of Experimental Particle Physics, Jožef Stefan Institute and Department of Physics, University of Ljubljana, Ljubljana, Slovenia Dedovich, Dmitri INSPIRE-00213224 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Degens, Jordy ORCID:0000-0002-6966-4935 ROR:https://ror.org/04xs57h96 GRID:grid.10025.36 Liverpool U. Oliver Lodge Laboratory, University of Liverpool, Liverpool, UK Deiana, Allison Mccarn INSPIRE-00220122 ORCID:0000-0003-0360-6051 ROR:https://ror.org/042tdr378 GRID:grid.263864.d Southern Methodist U. Physics Department, Southern Methodist University, Dallas, TX, USA Del Peso, Jose INSPIRE-00173501 ORCID:0000-0001-7090-4134 ROR:https://ror.org/01cby8j38 GRID:grid.5515.4 Madrid, Autonoma U. Departamento de Física Teorica C-15 and CIAFF, Universidad Autónoma de Madrid, Madrid, Spain Delagrange, Line ORCID:0000-0002-9169-1884 GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Deliot, Frederic INSPIRE-00076511 ORCID:0000-0003-0777-6031 ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Delitzsch, Chris Malena INSPIRE-00364737 ORCID:0000-0001-7021-3333 ROR:https://ror.org/01k97gp34 GRID:grid.5675.1 Dortmund U. Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany Della Pietra, Massimo INSPIRE-00213261 ORCID:0000-0003-4446-3368 GRID:grid.470211.1 ROR:https://ror.org/05290cv24 GRID:grid.4691.a Naples U. INFN Sezione di Napoli, Naples, Italy Dipartimento di Fisica, Università di Napoli, Naples, Italy Della Volpe, Domenico INSPIRE-00134280 ORCID:0000-0001-8530-7447 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Dell'Acqua, Andrea INSPIRE-00213248 ORCID:0000-0003-2453-7745 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Dell'Asta, Lidia INSPIRE-00213250 ORCID:0000-0002-9601-4225 ROR:https://ror.org/04w4m6z96 GRID:grid.470206.7 GRID:grid.4708.b INFN, Milan Milan U. INFN Sezione di Milano, Milan, Italy Dipartimento di Fisica, Università di Milano, Milan, Italy Delmastro, Marco INSPIRE-00213273 ORCID:0000-0003-2992-3805 GRID:grid.433124.3 ROR:https://ror.org/049nhh297 GRID:grid.450330.1 Annecy, LAPP LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France Delogu, Claudia Caterina ORCID:0000-0001-9203-6470 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Delsart, Pierre Antoine INSPIRE-00213285 ORCID:0000-0002-9556-2924 GRID:grid.5676.2 ROR:https://ror.org/03f0apy98 GRID:grid.472561.3 LPSC, Grenoble LPSC, Université Grenoble Alpes, CNRS/IN2P3, Grenoble INP, Grenoble, France Demers, Sarah Marie INSPIRE-00177331 ORCID:0000-0002-7282-1786 ROR:https://ror.org/03v76x132 GRID:grid.47100.32 Yale U. Department of Physics, Yale University, New Haven, CT, USA Demichev, Mikhail INSPIRE-00213297 ORCID:0000-0002-7730-3072 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Denisov, Serguei INSPIRE-00076710 ORCID:0000-0002-4028-7881 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Denizli, Haluk ORCID:0000-0003-1570-0344 ROR:https://ror.org/03z9tma90 GRID:grid.11220.30 GRID:grid.411082.e Bogazici U. Abant Izzet Baysal U. Department of Physics, Bogazici University, Istanbul, Türkiye Department of Physics, Bolu Abant Izzet Baysal University, Bolu, Türkiye D'Eramo, Louis INSPIRE-00550307 ORCID:0000-0002-4910-5378 GRID:grid.433124.3 ROR:https://ror.org/0214k6v65 GRID:grid.470921.9 Clermont-Ferrand U. LPC, Université Clermont Auvergne, CNRS/IN2P3, Clermont-Ferrand, France Derendarz, Dominik Karol INSPIRE-00229900 ORCID:0000-0001-5660-3095 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Derue, Frederic INSPIRE-00051568 ORCID:0000-0002-3505-3503 GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Dervan, Paul INSPIRE-00076798 ORCID:0000-0003-3929-8046 ROR:https://ror.org/04xs57h96 GRID:grid.10025.36 Liverpool U. Oliver Lodge Laboratory, University of Liverpool, Liverpool, UK Desai, Aman Mukeshbhai ORCID:0000-0003-2631-9696 ROR:https://ror.org/00892tw58 GRID:grid.1010.0 Adelaide U. Department of Physics, University of Adelaide, Adelaide, Australia Desch, Klaus INSPIRE-00076819 ORCID:0000-0001-5836-6118 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Dewhurst, Alastair INSPIRE-00213327 ORCID:0000-0002-2062-8052 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Rutherford Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Di Bello, Francesco Armando INSPIRE-00547602 ORCID:0000-0002-9870-2021 GRID:grid.5606.5 ROR:https://ror.org/02v89pq06 GRID:grid.470205.4 INFN, Genoa Genoa U. Dipartimento di Fisica, Università di Genova, Genoa, Italy INFN Sezione di Genova, Genoa, Italy Di Ciaccio, Anna INSPIRE-00213364 ORCID:0000-0001-8289-5183 GRID:grid.470219.9 ROR:https://ror.org/02p77k626 GRID:grid.6530.0 Rome U., Tor Vergata INFN Sezione di Roma Tor Vergata, Rome, Italy Dipartimento di Fisica, Università di Roma Tor Vergata, Rome, Italy Di Ciaccio, Lucia INSPIRE-00213376 ORCID:0000-0003-0751-8083 GRID:grid.433124.3 ROR:https://ror.org/049nhh297 GRID:grid.450330.1 Annecy, LAPP LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France Di Domenico, Antonio INSPIRE-00332317 ORCID:0000-0001-8078-2759 GRID:grid.470218.8 ROR:https://ror.org/02be6w209 GRID:grid.7841.a INFN, Rome Rome U. INFN Sezione di Roma, Rome, Italy Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy Di Donato, Camilla INSPIRE-00297740 ORCID:0000-0003-2213-9284 GRID:grid.470211.1 ROR:https://ror.org/05290cv24 GRID:grid.4691.a Naples U. INFN Sezione di Napoli, Naples, Italy Dipartimento di Fisica, Università di Napoli, Naples, Italy Di Girolamo, Alessandro INSPIRE-00213388 ORCID:0000-0002-9508-4256 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Di Gregorio, Giulia INSPIRE-00655606 ORCID:0000-0002-7838-576X ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Di Luca, Andrea ORCID:0000-0002-9074-2133 GRID:grid.470224.7 ROR:https://ror.org/05trd4x28 GRID:grid.11696.39 TIFPA-INFN, Trento Trento U. INFN-TIFPA, Povo, Italy Università degli Studi di Trento, Trento, Italy Di Micco, Biagio INSPIRE-00236191 ORCID:0000-0002-4067-1592 GRID:grid.470220.3 ROR:https://ror.org/05vf0dg29 GRID:grid.8509.4 Rome III U. INFN Sezione di Roma Tre, Rome, Italy Dipartimento di Matematica e Fisica, Università Roma Tre, Rome, Italy Di Nardo, Roberto INSPIRE-00213420 ORCID:0000-0003-1111-3783 GRID:grid.470220.3 ROR:https://ror.org/05vf0dg29 GRID:grid.8509.4 Rome III U. INFN Sezione di Roma Tre, Rome, Italy Dipartimento di Matematica e Fisica, Università Roma Tre, Rome, Italy Di Petrillo, Karri Folan INSPIRE-00534580 ORCID:0000-0001-8001-4602 ROR:https://ror.org/024mw5h28 GRID:grid.170205.1 Chicago U., EFI Enrico Fermi Institute, University of Chicago, Chicago, IL, USA Diamantopoulou, Magda ORCID:0009-0009-9679-1268 ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada De Almeida Dias, Flavia INSPIRE-00176100 ORCID:0000-0001-6882-5402 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Diaz Gutierrez, Marco Aurelio INSPIRE-00077083 ORCID:0000-0003-1258-8684 ROR:https://ror.org/04teye511 GRID:grid.7870.8 ROR:https://ror.org/03kn4xv14 GRID:grid.424823.b Chile U., Catolica SAPHIR Millennium Inst. Departamento de Física, Pontificia Universidad Católica de Chile, Santiago, Chile Millennium Institute for Subatomic physics at high energy frontier (SAPHIR), Santiago, Chile Didenko, Alisa Romanovna ORCID:0009-0006-3327-9732 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Didenko, Mariia ORCID:0000-0001-9942-6543 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Diefenbacher, Sascha Daniel ORCID:0000-0003-4308-6804 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Diehl, Edward INSPIRE-00213467 ORCID:0000-0002-7611-355X ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Diez Cornell, Sergio INSPIRE-00474514 ORCID:0000-0003-3694-6167 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Diez Pardos, Carmen INSPIRE-00308558 ORCID:0000-0002-0482-1127 ROR:https://ror.org/02azyry73 GRID:grid.5836.8 Siegen U. Department Physik, Universität Siegen, Siegen, Germany Dimitriadi, Christina ORCID:0000-0002-9605-3558 ROR:https://ror.org/026vcq606 GRID:grid.5037.1 Royal Inst. Tech., Stockholm Department of Physics, Royal Institute of Technology, Stockholm, Sweden Dimitrievska, Aleksandra INSPIRE-00358147 ORCID:0000-0003-0086-0599 ROR:https://ror.org/03angcq70 GRID:grid.6572.6 Birmingham U. School of Physics and Astronomy, University of Birmingham, Birmingham, UK Dimri, Aman ORCID:0000-0002-2130-9651 ROR:https://ror.org/05qghxh33 GRID:grid.36425.36 SUNY, Stony Brook Departments of Physics and Astronomy, Stony Brook University, Stony Brook, NY, USA Ding, Yuexin ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Dingfelder, Jochen Christian INSPIRE-00049343 ORCID:0000-0001-5767-2121 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Dingley, Thomas Benjamin ORCID:0000-0002-5384-8246 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Dinu, Ioan-Mihail ORCID:0000-0002-2683-7349 ROR:https://ror.org/00d3pnh21 GRID:grid.443874.8 Bucharest, IFIN-HH Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania Dittmeier, Sebastian INSPIRE-00650937 ORCID:0000-0002-5172-7520 ROR:https://ror.org/038t36y30 GRID:grid.7700.0 Heidelberg U. Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Dittus, Fido INSPIRE-00077326 ORCID:0000-0002-1760-8237 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Divisek, Martin ORCID:0000-0002-5981-1719 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Dixit, Bhupesh ORCID:0000-0003-3532-1173 ROR:https://ror.org/04xs57h96 GRID:grid.10025.36 Liverpool U. Oliver Lodge Laboratory, University of Liverpool, Liverpool, UK Djama, Fares INSPIRE-00077370 ORCID:0000-0003-1881-3360 ROR:https://ror.org/00fw8bp86 GRID:grid.470046.1 Marseille, CPPM CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France Djobava, Tamar INSPIRE-00213527 ORCID:0000-0002-9414-8350 ROR:https://ror.org/05fd1hd85 GRID:grid.26193.3f Tbilisi State U. High Energy Physics Institute, Tbilisi State University, Tbilisi, Georgia Doglioni, Caterina INSPIRE-00213578 ORCID:0000-0002-1509-0390 GRID:grid.4514.4 GRID:grid.5379.8 ROR:https://ror.org/027m9bs27 ROR:https://ror.org/012a77v79 Manchester U. Lund U. Fysiska institutionen, Lunds universitet, Lund, Sweden School of Physics and Astronomy, University of Manchester, Manchester, UK Dohnalova, Adriana ORCID:0000-0001-5271-5153 ROR:https://ror.org/0587ef340 GRID:grid.7634.6 Comenius U. Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia Dolezal, Zdenek INSPIRE-00077602 ORCID:0000-0002-5662-3675 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Domijan, Karolina ORCID:0009-0001-4200-1592 ROR:https://ror.org/00bas1c41 GRID:grid.9922.0 AGH-UST, Cracow AGH University of Krakow, Faculty of Physics and Applied Computer Science, Krakow, Poland Dona, Kristin ORCID:0000-0002-9753-6498 ROR:https://ror.org/024mw5h28 GRID:grid.170205.1 Chicago U., EFI Enrico Fermi Institute, University of Chicago, Chicago, IL, USA Donadelli, Marisilvia INSPIRE-00241441 ORCID:0000-0001-8329-4240 ROR:https://ror.org/0198v2949 GRID:grid.412211.5 Rio de Janeiro State U. Rio de Janeiro State University, Rio de Janeiro, Brazil Dong, Binbin ORCID:0000-0002-6075-0191 ROR:https://ror.org/05hs6h993 GRID:grid.17088.36 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA Donini, Julien Noce INSPIRE-00041261 ORCID:0000-0002-8998-0839 GRID:grid.433124.3 ROR:https://ror.org/0214k6v65 GRID:grid.470921.9 Clermont-Ferrand U. LPC, Université Clermont Auvergne, CNRS/IN2P3, Clermont-Ferrand, France D'Onofrio, Adelina INSPIRE-00575723 ORCID:0000-0002-0343-6331 GRID:grid.470211.1 ROR:https://ror.org/05290cv24 GRID:grid.4691.a Naples U. INFN Sezione di Napoli, Naples, Italy Dipartimento di Fisica, Università di Napoli, Naples, Italy D'Onofrio, Monica INSPIRE-00041292 ORCID:0000-0003-2408-5099 ROR:https://ror.org/04xs57h96 GRID:grid.10025.36 Liverpool U. Oliver Lodge Laboratory, University of Liverpool, Liverpool, UK Dopke, Jens INSPIRE-00213647 ORCID:0000-0002-0683-9910 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Rutherford Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Doria, Alessandra INSPIRE-00077860 ORCID:0000-0002-5381-2649 GRID:grid.470211.1 Naples U. INFN Sezione di Napoli, Naples, Italy Dos Santos Fernandes, Nuno ORCID:0000-0001-9909-0090 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 LIP, Lisbon Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Dos Santos Luz, Igo Amauri ORCID:0000-0001-9223-3327 GRID:grid.8399.b ROR:https://ror.org/03k3p7647 Bahia U. Federal University of Bahia, Bahia, Brazil Dougan, Patrick ORCID:0000-0001-9884-3070 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Dova, Maria Teresa INSPIRE-00077959 ORCID:0000-0001-6113-0878 GRID:grid.450288.3 ROR:https://ror.org/01tjs6929 GRID:grid.9499.d La Plata U. Instituto de Física La Plata, Universidad Nacional de La Plata and CONICET, La Plata, Argentina Doyle, Tony INSPIRE-00078002 ORCID:0000-0001-6322-6195 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Drescher, Matthias Peter ORCID:0009-0008-3244-6804 ROR:https://ror.org/01y9bpm73 GRID:grid.7450.6 Gottingen U., II. Phys. Inst. II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany Dreyer, Etienne INSPIRE-00574985 ORCID:0000-0001-8955-9510 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Drivas-Koulouris, Ioannis ORCID:0000-0002-2885-9779 ROR:https://ror.org/03cx6bg69 GRID:grid.4241.3 Natl. Tech. U., Athens Physics Department, National Technical University of Athens, Zografou, Greece Drnevich, Matthew ORCID:0009-0004-5587-1804 ROR:https://ror.org/0190ak572 GRID:grid.137628.9 New York U. Department of Physics, New York University, New York, NY, USA Du, Dongshuo ORCID:0000-0002-6758-0113 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Du Pree, Tristan Arnoldus INSPIRE-00258829 ORCID:0000-0001-8703-7938 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Duan, Zonghuan ROR:https://ror.org/01rxvg760 GRID:grid.41156.37 Nanjing U. Department of Physics, Nanjing University, Nanjing, China Dubau, Mathis ORCID:0009-0006-0186-2472 GRID:grid.433124.3 ROR:https://ror.org/049nhh297 GRID:grid.450330.1 Annecy, LAPP LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France Dubinin, Filipp INSPIRE-00569409 ORCID:0000-0003-2182-2727 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Dubovsky, Michal INSPIRE-00565680 ORCID:0000-0002-3847-0775 ROR:https://ror.org/0587ef340 GRID:grid.7634.6 Comenius U. Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia Duchovni, Ehud INSPIRE-00152081 ORCID:0000-0002-7276-6342 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Duckeck, Guenter INSPIRE-00213690 ORCID:0000-0002-7756-7801 ROR:https://ror.org/05591te55 GRID:grid.5252.0 Munich U. Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany Duckett, Philippa Kathryn ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Ducu, Otilia Anamaria INSPIRE-00349755 ORCID:0000-0001-5914-0524 ROR:https://ror.org/00d3pnh21 GRID:grid.443874.8 Bucharest, IFIN-HH Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania Duda, Dominik INSPIRE-00291889 ORCID:0000-0002-5916-3467 ROR:https://ror.org/01nrxwf90 GRID:grid.4305.2 Edinburgh U. SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK Dudarev, Alexey INSPIRE-00213702 ORCID:0000-0002-8713-8162 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Duden, Emily Rose ORCID:0000-0002-9092-9344 ROR:https://ror.org/05abbep66 GRID:grid.253264.4 Brandeis U. Department of Physics, Brandeis University, Waltham, MA, USA D'Uffizi, Matteo ORCID:0000-0003-2499-1649 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Duflot, Laurent INSPIRE-00078379 ORCID:0000-0002-4871-2176 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Duehrssen-Debling, Michael INSPIRE-00213726 ORCID:0000-0002-5833-7058 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Duminica, Ioana ORCID:0000-0003-4089-3416 GRID:grid.5100.4 ROR:https://ror.org/02x2v6p15 Bucharest U. Faculty of Physics, University of Bucharest, Bucharest, Romania Dumitriu, Ana Elena INSPIRE-00540528 ORCID:0000-0003-3310-4642 ROR:https://ror.org/00d3pnh21 GRID:grid.443874.8 Bucharest, IFIN-HH Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania Dunford, Monica INSPIRE-00029703 ORCID:0000-0002-7667-260X ROR:https://ror.org/038t36y30 GRID:grid.7700.0 Kirchhoff Inst. Phys. Kirchhoff-Institut für Physik, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Dunne, Katherine Elaine ORCID:0000-0003-2626-2247 ROR:https://ror.org/05f0yaq80 GRID:grid.10548.38 Stockholm U. Stockholm U., OKC Department of Physics, Stockholm University, Stockholm, Sweden Oskar Klein Centre, Stockholm, Sweden Duperrin, Arnaud INSPIRE-00078558 ORCID:0000-0002-5789-9825 ROR:https://ror.org/00fw8bp86 GRID:grid.470046.1 Marseille, CPPM CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France Yildiz, H.Duran INSPIRE-00213740 ORCID:0000-0003-3469-6045 ROR:https://ror.org/01wntqw50 GRID:grid.7256.6 Ankara U. Department of Physics, Ankara University, Ankara, Türkiye Durglishvili, Archil INSPIRE-00362063 ORCID:0000-0003-4157-592X ROR:https://ror.org/05fd1hd85 GRID:grid.26193.3f Tbilisi State U. High Energy Physics Institute, Tbilisi State University, Tbilisi, Georgia Duvnjak, Damir INSPIRE-00439515 ORCID:0000-0002-4400-6303 ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Dyckes, G.I. INSPIRE-00439161 ORCID:0000-0003-1464-0335 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Dyndal, Mateusz INSPIRE-00359621 ORCID:0000-0001-9632-6352 ROR:https://ror.org/00bas1c41 GRID:grid.9922.0 AGH-UST, Cracow AGH University of Krakow, Faculty of Physics and Applied Computer Science, Krakow, Poland Dziedzic, Bartosz Sebastian INSPIRE-00548812 ORCID:0000-0002-0805-9184 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Earnshaw, Zoe Olivia ORCID:0000-0002-2878-261X ROR:https://ror.org/00ayhx656 GRID:grid.12082.39 Sussex U. Department of Physics and Astronomy, University of Sussex, Brighton, UK Eberwein, Gregor Hieronymus ORCID:0000-0003-3300-9717 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Eckerova, Barbora ORCID:0000-0003-0336-3723 ROR:https://ror.org/0587ef340 GRID:grid.7634.6 Comenius U. Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia Eggebrecht, Stephen ORCID:0000-0001-5238-4921 ROR:https://ror.org/01y9bpm73 GRID:grid.7450.6 Gottingen U., II. Phys. Inst. II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany Purcino De Souza, Edmar Egidio ORCID:0000-0001-5370-8377 GRID:grid.8399.b ROR:https://ror.org/03k3p7647 Bahia U. Federal University of Bahia, Bahia, Brazil Eigen, Gerald INSPIRE-00079187 ORCID:0000-0003-3529-5171 ROR:https://ror.org/03zga2b32 GRID:grid.7914.b Bergen U. Department for Physics and Technology, University of Bergen, Bergen, Norway Einsweiler, Kevin Frank INSPIRE-00213832 ORCID:0000-0002-4391-9100 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Ekelof, Tord INSPIRE-00079263 ORCID:0000-0002-7341-9115 ROR:https://ror.org/048a87296 GRID:grid.8993.b Uppsala U., Inst. Theor. Phys. Department of Physics and Astronomy, University of Uppsala, Uppsala, Sweden Ekman, Per Alexander ORCID:0000-0002-7032-2799 ROR:https://ror.org/012a77v79 GRID:grid.4514.4 Lund U. Fysiska institutionen, Lunds universitet, Lund, Sweden El Farkh, Saad ORCID:0000-0002-7999-3767 ROR:https://ror.org/02wj89n04 GRID:grid.412150.3 Ibn Tofail U. Faculté des Sciences, Université Ibn-Tofail, Kénitra, Morocco El Ghazali, Yassine ORCID:0000-0001-9172-2946 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China El Jarrari, Hassnae INSPIRE-00657150 ORCID:0000-0002-8955-9681 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland El Moussaouy, Ali ORCID:0000-0002-9669-5374 ROR:https://ror.org/001q4kn48 GRID:grid.412148.a Casablanca U. Faculté des Sciences Ain Chock, Université Hassan II de Casablanca, Casablanca, Morocco Ellert, Mattias INSPIRE-00079322 ORCID:0000-0001-5265-3175 ROR:https://ror.org/048a87296 GRID:grid.8993.b Uppsala U., Inst. Theor. Phys. Department of Physics and Astronomy, University of Uppsala, Uppsala, Sweden Ellinghaus, Frank INSPIRE-00241510 ORCID:0000-0003-3596-5331 ROR:https://ror.org/00613ak93 GRID:grid.7787.f Wuppertal U. Fakultät für Mathematik und Naturwissenschaften, Fachgruppe Physik, Bergische Universität Wuppertal, Wuppertal, Germany Elliot, T.A. ORCID:0009-0009-5240-7930 ROR:https://ror.org/04g2vpn86 GRID:grid.4970.a Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham, UK Ellis, Nick INSPIRE-00079357 ORCID:0000-0002-1920-4930 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Elmsheuser, Johannes INSPIRE-00039089 ORCID:0000-0001-8899-051X ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Elsawy, Mai ORCID:0000-0002-3012-9986 ROR:https://ror.org/00e5k0821 GRID:grid.440573.1 New York U., Abu Dhabi New York University Abu Dhabi, Abu Dhabi, United Arab Emirates Elsing, Markus INSPIRE-00213874 ORCID:0000-0002-1213-0545 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Emeliyanov, Dmitry INSPIRE-00213886 ORCID:0000-0002-1363-9175 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Rutherford Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Enari, Yuji INSPIRE-00079531 ORCID:0000-0002-9916-3349 ROR:https://ror.org/01g5y5k24 GRID:grid.410794.f KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Ene, Irina ORCID:0000-0003-2296-1112 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Epari, Shalini ORCID:0000-0002-4095-4808 ROR:https://ror.org/0161xgx34 GRID:grid.14848.31 Montreal U. Group of Particle Physics, University of Montreal, Montreal, QC, Canada Ernani Martins Neto, Daniel ORCID:0000-0003-2793-5335 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Ernst, Florian ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Errenst, Martin ORCID:0000-0003-4656-3936 ROR:https://ror.org/00613ak93 GRID:grid.7787.f Wuppertal U. Fakultät für Mathematik und Naturwissenschaften, Fachgruppe Physik, Bergische Universität Wuppertal, Wuppertal, Germany Escalier, Marc INSPIRE-00025013 ORCID:0000-0003-4270-2775 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Escobar Ibanez, Carlos INSPIRE-00213977 ORCID:0000-0003-4442-4537 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Etzion, Erez INSPIRE-00080055 ORCID:0000-0001-6871-7794 ROR:https://ror.org/04mhzgx49 GRID:grid.12136.37 Tel Aviv U. Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv, Israel Gaspar De Andrade Evans, Guiomar ORCID:0000-0003-0434-6925 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 ROR:https://ror.org/01c27hj86 GRID:grid.9983.b LIP, Lisbon Lisboa U., CFNUL Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Departamento de Física, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal Evans, Hal INSPIRE-00080060 ORCID:0000-0003-2183-3127 GRID:grid.411377.7 ROR:https://ror.org/01kg8sb98 GRID:grid.257410.5 Indiana U. Department of Physics, Indiana University, Bloomington, IN, USA Evans, Levi ORCID:0000-0002-4333-5084 ROR:https://ror.org/04g2vpn86 GRID:grid.4970.a Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham, UK Ezhilov, Aleksei INSPIRE-00367680 ORCID:0000-0002-7520-293X GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Ezzarqtouni, Sanae ORCID:0000-0002-7912-2830 ROR:https://ror.org/001q4kn48 GRID:grid.412148.a Casablanca U. Faculté des Sciences Ain Chock, Université Hassan II de Casablanca, Casablanca, Morocco Fabbri, Federica INSPIRE-00445370 ORCID:0000-0001-8474-0978 ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Fabbri, Laura INSPIRE-00283861 ORCID:0000-0002-4002-8353 ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Facini, Gabriel INSPIRE-00019223 ORCID:0000-0002-4056-4578 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Fadeyev, Vitaliy ORCID:0000-0003-0154-4328 ROR:https://ror.org/03s65by71 GRID:grid.205975.c UC, Santa Cruz Santa Cruz Institute for Particle Physics, University of California Santa Cruz, Santa Cruz, CA, USA Fakhrutdinov, Rinat INSPIRE-00214014 ORCID:0000-0001-7882-2125 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Fakoudis, Dionysios ORCID:0009-0006-2877-7710 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Falciano, Speranza INSPIRE-00214026 ORCID:0000-0002-7118-341X GRID:grid.470218.8 ROR:https://ror.org/05eva6s33 INFN, Rome INFN Sezione di Roma, Rome, Italy Ulhoa Coelho, L.F.Falda ORCID:0000-0002-2298-3605 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 LIP, Lisbon Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Fallavollita, Francesco ORCID:0000-0003-2315-2499 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Falsetti, Gregorio ORCID:0000-0002-1919-4250 ROR:https://ror.org/02rc97e94 GRID:grid.7778.f GRID:grid.463190.9 INFN, Cosenza Calabria U. Dipartimento di Fisica, Università della Calabria, Rende, Italy INFN Gruppo Collegato di Cosenza, Laboratori Nazionali di Frascati, Frascati, Italy Faltova, Jana INSPIRE-00221190 ORCID:0000-0003-4278-7182 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Fan, Cunwei ORCID:0000-0003-2611-1975 ROR:https://ror.org/047426m28 GRID:grid.35403.31 Illinois U., Urbana Department of Physics, University of Illinois, Urbana, IL, USA Fan, Ka Yan ORCID:0009-0009-7615-6275 ROR:https://ror.org/02zhqgq86 GRID:grid.194645.b Hong Kong U. Department of Physics, University of Hong Kong, Hong Kong, China Fan, Yunyun ORCID:0000-0001-7868-3858 GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Fang, Yaquan INSPIRE-00214038 ORCID:0000-0001-8630-6585 GRID:grid.9227.e GRID:grid.410726.6 ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. UCAS, Beijing Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China University of Chinese Academy of Science (UCAS), Beijing, China Fanti, Marcello INSPIRE-00214040 ORCID:0000-0002-8773-145X ROR:https://ror.org/04w4m6z96 GRID:grid.470206.7 GRID:grid.4708.b INFN, Milan Milan U. INFN Sezione di Milano, Milan, Italy Dipartimento di Fisica, Università di Milano, Milan, Italy Faraj, Mohammed ORCID:0000-0001-9442-7598 ROR:https://ror.org/009gyvm78 GRID:grid.419330.c INFN, Udine ICTP, Trieste INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy ICTP, Trieste, Italy Farazpay, Zahra ORCID:0000-0003-2245-150X ROR:https://ror.org/04q9esz89 GRID:grid.259237.8 Louisiana Tech. U. Louisiana Tech University, Ruston, LA, USA Farbin, Amir INSPIRE-00214051 ORCID:0000-0003-0000-2439 ROR:https://ror.org/019kgqr73 GRID:grid.267315.4 Texas U., Arlington Department of Physics, University of Texas at Arlington, Arlington, TX, USA Farilla, Ada INSPIRE-00214063 ORCID:0000-0002-3983-0728 GRID:grid.470220.3 ROR:https://ror.org/05vf0dg29 Rome III U. INFN Sezione di Roma Tre, Rome, Italy Farman, Kiran ROR:https://ror.org/05bxb3784 GRID:grid.28665.3f Taiwan, Inst. Phys. Institute of Physics, Academia Sinica, Taipei, Taiwan Farooque, Trisha INSPIRE-00013478 ORCID:0000-0003-1363-9324 ROR:https://ror.org/05hs6h993 GRID:grid.17088.36 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA Farr, Jesse ORCID:0000-0002-8766-4891 ROR:https://ror.org/03v76x132 GRID:grid.47100.32 Yale U. Department of Physics, Yale University, New Haven, CT, USA Farrington, Sinead INSPIRE-00060080 ORCID:0000-0001-5350-9271 GRID:grid.4305.2 GRID:grid.76978.37 ROR:https://ror.org/03gq8fr08 ROR:https://ror.org/01nrxwf90 Rutherford Edinburgh U. SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Fassi, Farida INSPIRE-00308854 ORCID:0000-0002-6423-7213 ROR:https://ror.org/00r8w8f84 GRID:grid.31143.34 Mohammed V U., Agdal Faculté des sciences, Université Mohammed V, Rabat, Morocco Fassouliotis, Dimitris INSPIRE-00214081 ORCID:0000-0003-1289-2141 ROR:https://ror.org/04gnjpq42 GRID:grid.5216.0 Athens U. Physics Department, National and Kapodistrian University of Athens, Athens, Greece Fayard, Louis INSPIRE-00143071 ORCID:0000-0002-2190-9091 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Federic, Pavol INSPIRE-00214117 ORCID:0000-0001-5137-473X ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Federicova, Pavla ORCID:0000-0003-4176-2768 GRID:grid.424881.3 ROR:https://ror.org/04jymbd90 GRID:grid.425110.3 Prague, Inst. Phys. Institute of Physics of the Czech Academy of Sciences, Prague, Czech Republic Fedin, Oleg INSPIRE-00305797 ORCID:0000-0002-1733-7158 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Feickert, Matthew INSPIRE-00353992 ORCID:0000-0003-4124-7862 GRID:grid.28803.31 ROR:https://ror.org/01y2jtd41 GRID:grid.14003.36 Wisconsin U., Madison Department of Physics, University of Wisconsin, Madison, WI, USA Feligioni, Lorenzo INSPIRE-00039073 ORCID:0000-0002-1403-0951 ROR:https://ror.org/00fw8bp86 GRID:grid.470046.1 Marseille, CPPM CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France Fellers, Deion Elgin ORCID:0000-0002-0731-9562 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Feng, Cunfeng INSPIRE-00214142 ORCID:0000-0001-9138-3200 ROR:https://ror.org/0207yh398 GRID:grid.27255.37 Shandong U. Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao, China Feng, Yuan GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Feng, Zhuoran ORCID:0000-0001-5155-3420 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Fenton, Michael James INSPIRE-00546149 ORCID:0009-0007-2746-3813 ROR:https://ror.org/04gyf1771 GRID:grid.266093.8 UC, Irvine Department of Physics and Astronomy, University of California Irvine, Irvine, CA, USA Ferencz, Lars ORCID:0000-0001-5489-1759 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Fernandez Barbadillo, Beltran ORCID:0009-0001-1738-7729 GRID:grid.9835.7 ROR:https://ror.org/01g3dya06 GRID:grid.472314.7 Lancaster U. Physics Department, Lancaster University, Lancaster, UK Fernandez Martinez, Pablo ORCID:0000-0002-7818-6971 ROR:https://ror.org/03ycqrz18 GRID:grid.424142.5 Barcelona, Inst. Microelectron. Centro Nacional de Microelectrónica (IMB-CNM-CSIC), Barcelona, Spain Fernoux, Maxime ORCID:0000-0003-2372-1444 ROR:https://ror.org/00fw8bp86 GRID:grid.470046.1 Marseille, CPPM CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France Ferrando, James INSPIRE-00027519 ORCID:0000-0002-1007-7816 GRID:grid.9835.7 ROR:https://ror.org/01g3dya06 GRID:grid.472314.7 Lancaster U. Physics Department, Lancaster University, Lancaster, UK Ferrari, Arnaud INSPIRE-00300636 ORCID:0000-0003-2887-5311 ROR:https://ror.org/048a87296 GRID:grid.8993.b Uppsala U., Inst. Theor. Phys. Department of Physics and Astronomy, University of Uppsala, Uppsala, Sweden Ferrari, Pamela INSPIRE-00214210 ORCID:0000-0002-1387-153X ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 ROR:https://ror.org/016xsfp80 GRID:grid.5590.9 Nikhef Nijmegen U. Institute for Mathematics, Astrophysics and Particle Physics, Radboud University/Nikhef, Nijmegen, The Netherlands Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Ferrari, Roberto INSPIRE-00214221 ORCID:0000-0001-5566-1373 GRID:grid.470213.3 ROR:https://ror.org/01st30669 INFN, Pavia INFN Sezione di Pavia, Pavia, Italy Ferrere, Didier INSPIRE-00188574 ORCID:0000-0002-5687-9240 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Ferretti, Claudio INSPIRE-00028525 ORCID:0000-0002-5562-7893 ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Fewell, Matthew ORCID:0000-0002-4406-0430 ROR:https://ror.org/00892tw58 GRID:grid.1010.0 Adelaide U. Department of Physics, University of Adelaide, Adelaide, Australia Fiacco, Davide ORCID:0000-0002-0678-1667 GRID:grid.470218.8 ROR:https://ror.org/02be6w209 GRID:grid.7841.a INFN, Rome Rome U. INFN Sezione di Roma, Rome, Italy Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy Fiedler, Frank INSPIRE-00081065 ORCID:0000-0002-4610-5612 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Fiedler, Petr ORCID:0000-0002-1217-4097 ROR:https://ror.org/03kqpb082 GRID:grid.6652.7 Prague, Tech. U. Czech Technical University in Prague, Prague, Czech Republic Filimonov, Sergey ORCID:0000-0003-3812-3375 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Filip, Matei Stefan ORCID:0009-0007-9276-3302 ROR:https://ror.org/00d3pnh21 GRID:grid.443874.8 GRID:grid.5100.4 Bucharest, IFIN-HH Bucharest U. Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania Faculty of Physics, University of Bucharest, Bucharest, Romania Filipcic, Andrej INSPIRE-00081160 ORCID:0000-0001-5671-1555 GRID:grid.8954.0 ROR:https://ror.org/05060sz93 GRID:grid.11375.31 Stefan Inst., Ljubljana Department of Experimental Particle Physics, Jožef Stefan Institute and Department of Physics, University of Ljubljana, Ljubljana, Slovenia Filmer, Emily ORCID:0000-0001-6967-7325 ROR:https://ror.org/03kgj4539 GRID:grid.232474.4 TRIUMF TRIUMF, Vancouver, BC, Canada Filthaut, Frank INSPIRE-00081209 ORCID:0000-0003-3338-2247 GRID:grid.420012.5 ROR:https://ror.org/016xsfp80 GRID:grid.5590.9 Nijmegen U. Institute for Mathematics, Astrophysics and Particle Physics, Radboud University/Nikhef, Nijmegen, The Netherlands Castro Nunes Fiolhais, Miguel INSPIRE-00214269 ORCID:0000-0001-9035-0335 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 ROR:https://ror.org/04z8k9a98 GRID:grid.8051.c GRID:grid.212340.6 LIP, Lisbon Coimbra U. BMCC, New York Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Departamento de Física, Universidade de Coimbra, Coimbra, Portugal Borough of Manhattan Community College, City University of New York, New York, NY, USA Fiorini, Luca INSPIRE-00214275 ORCID:0000-0002-5070-2735 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Fisher, Wade Cameron INSPIRE-00052479 ORCID:0000-0003-3043-3045 ROR:https://ror.org/05hs6h993 GRID:grid.17088.36 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA Fitschen, Tobias ORCID:0000-0002-1152-7372 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Fitzhugh, Peter Michael ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Fleck, Ivor INSPIRE-00081605 ORCID:0000-0003-1461-8648 ROR:https://ror.org/02azyry73 GRID:grid.5836.8 Siegen U. Department Physik, Universität Siegen, Siegen, Germany Fleischmann, Philipp INSPIRE-00214324 ORCID:0000-0001-6968-340X ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Flick, Tobias INSPIRE-00214348 ORCID:0000-0002-8356-6987 ROR:https://ror.org/00613ak93 GRID:grid.7787.f Wuppertal U. Fakultät für Mathematik und Naturwissenschaften, Fachgruppe Physik, Bergische Universität Wuppertal, Wuppertal, Germany Flores, Marvin ORCID:0000-0002-4462-2851 ROR:https://ror.org/03tbh6y23 GRID:grid.11134.36 Philippines U., Quezon City National Institute of Physics, University of the Philippines, Diliman, Philippines Flores Castillo, Luis Roberto INSPIRE-00041212 ORCID:0000-0003-1551-5974 ROR:https://ror.org/00t33hh48 GRID:grid.10784.3a Hong Kong, Chinese U. Department of Physics, Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China Flores Sanz De Acedo, Leyre ORCID:0000-0002-4006-3597 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Follega, Francesco Maria INSPIRE-00641114 ORCID:0000-0003-2317-9560 GRID:grid.470224.7 ROR:https://ror.org/05trd4x28 GRID:grid.11696.39 TIFPA-INFN, Trento Trento U. INFN-TIFPA, Povo, Italy Università degli Studi di Trento, Trento, Italy Fomin, Nikolai INSPIRE-00549781 ORCID:0000-0001-9457-394X ROR:https://ror.org/013meh722 GRID:grid.5335.0 Cambridge U. Cavendish Laboratory, University of Cambridge, Cambridge, UK Foo, Joel Hengwei ORCID:0000-0003-4577-0685 ROR:https://ror.org/03dbr7087 GRID:grid.17063.33 Toronto U. Department of Physics, University of Toronto, Toronto, ON, Canada Formica, Andrea INSPIRE-00081940 ORCID:0000-0001-8308-2643 ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Forti, Alessandra INSPIRE-00027700 ORCID:0000-0002-0532-7921 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Fortin, Etienne Marie ORCID:0000-0002-6418-9522 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Fortman, Anne Winifred ORCID:0000-0001-9454-9069 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Foster, Liam ORCID:0009-0003-9084-4230 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Fountas, Leonidas ORCID:0000-0002-9986-6597 ROR:https://ror.org/04gnjpq42 GRID:grid.5216.0 ROR:https://ror.org/03zsp3p94 GRID:grid.7144.6 Athens U. Aegean U., Chios Physics Department, National and Kapodistrian University of Athens, Athens, Greece Department of Financial and Management Engineering, University of the Aegean, Chios, Greece Fournier, Daniel INSPIRE-00144690 ORCID:0000-0003-4836-0358 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Fox, Harald INSPIRE-00082068 ORCID:0000-0003-3089-6090 GRID:grid.9835.7 ROR:https://ror.org/01g3dya06 GRID:grid.472314.7 Lancaster U. Physics Department, Lancaster University, Lancaster, UK Francavilla, Paolo INSPIRE-00305814 ORCID:0000-0003-1164-6870 GRID:grid.470216.6 ROR:https://ror.org/03ad39j10 GRID:grid.5395.a INFN, Pisa Pisa U. INFN Sezione di Pisa, Pisa, Italy Dipartimento di Fisica E. Fermi, Università di Pisa, Pisa, Italy Francescato, Simone ORCID:0000-0001-5315-9275 ROR:https://ror.org/03vek6s52 GRID:grid.38142.3c Harvard U., Phys. Dept. Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA, USA Franchellucci, Stefano ORCID:0000-0003-0695-0798 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Franchini, Matteo INSPIRE-00293056 ORCID:0000-0002-4554-252X ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Franchino, Silvia INSPIRE-00013179 ORCID:0000-0002-8159-8010 ROR:https://ror.org/038t36y30 GRID:grid.7700.0 Kirchhoff Inst. Phys. Kirchhoff-Institut für Physik, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Francis, David INSPIRE-00214393 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Franco, Luca ORCID:0000-0002-1687-4314 GRID:grid.420012.5 ROR:https://ror.org/016xsfp80 GRID:grid.5590.9 Nijmegen U. Institute for Mathematics, Astrophysics and Particle Physics, Radboud University/Nikhef, Nijmegen, The Netherlands Franco Lima, Vinicius ORCID:0000-0002-3761-209X ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Franconi, Laura INSPIRE-00371528 ORCID:0000-0002-0647-6072 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Franklin, Melissa INSPIRE-00082230 ORCID:0000-0002-6595-883X ROR:https://ror.org/03vek6s52 GRID:grid.38142.3c Harvard U., Phys. Dept. Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA, USA Frattari, Guglielmo INSPIRE-00679921 ORCID:0000-0002-7829-6564 ROR:https://ror.org/05abbep66 GRID:grid.253264.4 Brandeis U. Department of Physics, Brandeis University, Waltham, MA, USA Frid, Yuval Yitzhak ORCID:0000-0003-1565-1773 ROR:https://ror.org/04mhzgx49 GRID:grid.12136.37 Tel Aviv U. Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv, Israel Friend, Johnny ORCID:0009-0001-8430-1454 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Fritzsche, Nick ORCID:0000-0002-9350-1060 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Froch, Alexander ORCID:0000-0002-8259-2622 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Froidevaux, Daniel INSPIRE-00082670 ORCID:0000-0003-3986-3922 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Frost, James INSPIRE-00171541 ORCID:0000-0003-3562-9944 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Fu, Yao ORCID:0000-0002-7370-7395 ROR:https://ror.org/05hs6h993 GRID:grid.17088.36 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA Fuenzalida Garrido, Sebastian Julio ORCID:0000-0002-7835-5157 ROR:https://ror.org/05510vn56 GRID:grid.12148.3e Santa Maria U., Valparaiso Departamento de Física, Universidad Técnica Federico Santa María, Valparaíso, Chile Fujimoto, Minori ORCID:0000-0002-6701-8198 ROR:https://ror.org/00fw8bp86 GRID:grid.470046.1 Marseille, CPPM CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France Fung, Kin Yip ORCID:0000-0003-2131-2970 ROR:https://ror.org/00t33hh48 GRID:grid.10784.3a Hong Kong, Chinese U. Department of Physics, Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China Simas Filho, Eduardo Furtado De ORCID:0000-0001-8707-785X GRID:grid.8399.b ROR:https://ror.org/03k3p7647 Bahia U. Federal University of Bahia, Bahia, Brazil Furukawa, Marin ORCID:0000-0003-4888-2260 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Fuster Verdu, Juan INSPIRE-00214444 ORCID:0000-0002-1290-2031 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Gaa, Anne ORCID:0000-0003-4011-5550 ROR:https://ror.org/01y9bpm73 GRID:grid.7450.6 Gottingen U., II. Phys. Inst. II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany Gabrielli, Alessandro INSPIRE-00342638 ORCID:0000-0001-5346-7841 ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Gabrielli, Andrea INSPIRE-00339066 ORCID:0000-0003-0768-9325 ROR:https://ror.org/03dbr7087 GRID:grid.17063.33 Toronto U. Department of Physics, University of Toronto, Toronto, ON, Canada Gadow, Philipp INSPIRE-00575735 ORCID:0000-0003-4475-6734 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Gagliardi, Guido INSPIRE-00214470 ORCID:0000-0002-3550-4124 GRID:grid.5606.5 ROR:https://ror.org/02v89pq06 GRID:grid.470205.4 INFN, Genoa Genoa U. Dipartimento di Fisica, Università di Genova, Genoa, Italy INFN Sezione di Genova, Genoa, Italy Gagnon, Louis-Guillaume INSPIRE-00441787 ORCID:0000-0003-3000-8479 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Gaid, Safa ORCID:0009-0001-6883-9166 ROR:https://ror.org/00engpz63 GRID:grid.412789.1 U. Sharjah University of Sharjah, Sharjah, United Arab Emirates Galantzan, Sean ORCID:0000-0001-5047-5889 ROR:https://ror.org/04mhzgx49 GRID:grid.12136.37 Tel Aviv U. Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv, Israel Gallagher, James ORCID:0000-0001-9284-6270 ROR:https://ror.org/00892tw58 GRID:grid.1010.0 Adelaide U. Department of Physics, University of Adelaide, Adelaide, Australia Gallas, Elizabeth INSPIRE-00083337 ORCID:0000-0002-1259-1034 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Gallen, Axel ORCID:0000-0002-7365-166X ROR:https://ror.org/048a87296 GRID:grid.8993.b Uppsala U., Inst. Theor. Phys. Department of Physics and Astronomy, University of Uppsala, Uppsala, Sweden Gallop, Bruce Joseph INSPIRE-00214494 ORCID:0000-0001-7401-5043 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Rutherford Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Gan, Kock Kiam INSPIRE-00083439 ORCID:0000-0002-1550-1487 ROR:https://ror.org/00rs6vg23 GRID:grid.261331.4 Ohio State U. Ohio State University, Columbus, OH, USA Ganguly, Sanmay INSPIRE-00225996 ORCID:0000-0003-1285-9261 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Gao, Yanyan INSPIRE-00145255 ORCID:0000-0001-6326-4773 ROR:https://ror.org/01nrxwf90 GRID:grid.4305.2 Edinburgh U. SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK Garabaglu, Ali ORCID:0000-0002-8105-6027 GRID:grid.34477.33 ROR:https://ror.org/03d17d270 GRID:grid.504155.0 Washington U., Seattle Department of Physics, University of Washington, Seattle, WA, USA Garay Walls, Francisca INSPIRE-00336691 ORCID:0000-0002-6670-1104 ROR:https://ror.org/04teye511 GRID:grid.7870.8 ROR:https://ror.org/03kn4xv14 GRID:grid.424823.b Chile U., Catolica SAPHIR Millennium Inst. Departamento de Física, Pontificia Universidad Católica de Chile, Santiago, Chile Millennium Institute for Subatomic physics at high energy frontier (SAPHIR), Santiago, Chile Garcia, Carmen INSPIRE-00214518 ORCID:0000-0003-1625-7452 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Garcia Alonso, Andrea ORCID:0000-0002-9566-7793 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Garcia Caffaro, Arianna Gemma ORCID:0000-0001-9095-4710 ROR:https://ror.org/03v76x132 GRID:grid.47100.32 Yale U. Department of Physics, Yale University, New Haven, CT, USA Garcia Navarro, Jose Enrique INSPIRE-00022084 ORCID:0000-0002-0279-0523 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Garcia Ruiz, Miguel Angel ORCID:0009-0000-5252-8825 ROR:https://ror.org/059yx9a68 GRID:grid.10689.36 Colombia, U. Natl. Departamento de Física, Universidad Nacional de Colombia, Bogotá, Colombia Garcia-Sciveres, Maurice INSPIRE-00083629 ORCID:0000-0002-5800-4210 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Gardner, Gwen Llewellyn ORCID:0000-0002-8980-3314 ROR:https://ror.org/00b30xv10 GRID:grid.25879.31 Pennsylvania U. Department of Physics, University of Pennsylvania, Philadelphia, PA, USA Gardner, Robert William, Jr. INSPIRE-00083694 ORCID:0000-0003-1433-9366 ROR:https://ror.org/024mw5h28 GRID:grid.170205.1 Chicago U., EFI Enrico Fermi Institute, University of Chicago, Chicago, IL, USA Garelli, Nicoletta INSPIRE-00214520 ORCID:0000-0003-0534-9634 ROR:https://ror.org/05wvpxv85 GRID:grid.429997.8 Tufts U. Department of Physics and Astronomy, Tufts University, Medford, MA, USA Garg, Rocky Bala ORCID:0000-0002-2691-7963 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Gargan, Jack ORCID:0009-0003-7280-8906 ROR:https://ror.org/01nrxwf90 GRID:grid.4305.2 Edinburgh U. SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK Garner, Christopher Andrew INSPIRE-00655908 ROR:https://ror.org/03dbr7087 GRID:grid.17063.33 Toronto U. Department of Physics, University of Toronto, Toronto, ON, Canada Garvey, Cameron Michael ORCID:0000-0001-8849-4970 ROR:https://ror.org/03p74gp79 GRID:grid.7836.a Cape Town U. Department of Physics, University of Cape Town, Cape Town, South Africa Gassmann, Veritas Katharina ROR:https://ror.org/05wvpxv85 GRID:grid.429997.8 Tufts U. Department of Physics and Astronomy, Tufts University, Medford, MA, USA Gaudio, Gabriella INSPIRE-00214561 ORCID:0000-0002-6833-0933 GRID:grid.470213.3 ROR:https://ror.org/01st30669 INFN, Pavia INFN Sezione di Pavia, Pavia, Italy Gautam, Viveka ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Gauzzi, Paolo INSPIRE-00084018 ORCID:0000-0003-4841-5822 GRID:grid.470218.8 ROR:https://ror.org/02be6w209 GRID:grid.7841.a INFN, Rome Rome U. INFN Sezione di Roma, Rome, Italy Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy Gavranovic, Jan ORCID:0000-0002-8760-9518 GRID:grid.8954.0 ROR:https://ror.org/05060sz93 GRID:grid.11375.31 Stefan Inst., Ljubljana Department of Experimental Particle Physics, Jožef Stefan Institute and Department of Physics, University of Ljubljana, Ljubljana, Slovenia Gavrilenko, Igor INSPIRE-00214609 ORCID:0000-0001-7219-2636 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 LIP, Lisbon Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Gavriliuk, Alexander INSPIRE-00535038 ORCID:0000-0003-3837-6567 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Gay, Colin Warren INSPIRE-00214610 ORCID:0000-0002-9354-9507 ROR:https://ror.org/03rmrcq20 GRID:grid.17091.3e British Columbia U. Department of Physics, University of British Columbia, Vancouver, BC, Canada Gaycken, Goetz INSPIRE-00214622 ORCID:0000-0002-2941-9257 ROR:https://ror.org/0293rh119 GRID:grid.170202.6 Oregon U. Institute for Fundamental Science, University of Oregon, Eugene, OR, USA Gazis, Evangelos INSPIRE-00084094 ORCID:0000-0002-9272-4254 ROR:https://ror.org/03cx6bg69 GRID:grid.4241.3 Natl. Tech. U., Athens Physics Department, National Technical University of Athens, Zografou, Greece Gekow, Alex ROR:https://ror.org/00rs6vg23 GRID:grid.261331.4 Ohio State U. Ohio State University, Columbus, OH, USA Gemme, Claudia INSPIRE-00214676 ORCID:0000-0002-1702-5699 GRID:grid.470205.4 ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Sezione di Genova, Genoa, Italy Genest, Marie-Helene INSPIRE-00016112 ORCID:0000-0002-4098-2024 GRID:grid.5676.2 ROR:https://ror.org/03f0apy98 GRID:grid.472561.3 LPSC, Grenoble LPSC, Université Grenoble Alpes, CNRS/IN2P3, Grenoble INP, Grenoble, France Gentry, Andrew Donald ORCID:0009-0003-8477-0095 ROR:https://ror.org/05fs6jp91 GRID:grid.266832.b New Mexico U. Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA George, Simon INSPIRE-00084316 ORCID:0000-0003-3565-3290 ROR:https://ror.org/04g2vpn86 GRID:grid.4970.a Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham, UK Geralis, Theodoros INSPIRE-00315935 ORCID:0000-0001-7188-979X ROR:https://ror.org/038jp4m40 GRID:grid.6083.d Democritos Nucl. Res. Ctr. National Centre for Scientific Research “Demokritos”’, Agia Paraskevi, Greece Gerwin, Achmad Aditya ORCID:0009-0008-9367-6646 ROR:https://ror.org/02aqsxs83 GRID:grid.266900.b Oklahoma U. Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, OK, USA Gessinger-Befurt, P. INSPIRE-00654682 ORCID:0000-0002-3056-7417 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Geyik, Marvin Emin ORCID:0000-0002-7491-0838 ROR:https://ror.org/00613ak93 GRID:grid.7787.f Wuppertal U. Fakultät für Mathematik und Naturwissenschaften, Fachgruppe Physik, Bergische Universität Wuppertal, Wuppertal, Germany Ghani, Mohammed ORCID:0000-0002-4123-508X ROR:https://ror.org/01a77tt86 GRID:grid.7372.1 Warwick U. Department of Physics, University of Warwick, Coventry, UK Ghorbanian, Keanu ORCID:0000-0002-7985-9445 ROR:https://ror.org/026zzn846 GRID:grid.4868.2 Queen Mary, U. of London Department of Physics and Astronomy, Queen Mary University of London, London, UK Ghosal, Arpan ORCID:0000-0003-0661-9288 ROR:https://ror.org/02azyry73 GRID:grid.5836.8 Siegen U. Department Physik, Universität Siegen, Siegen, Germany Ghosh, Aishik INSPIRE-00655209 ORCID:0000-0003-0819-1553 ROR:https://ror.org/04gyf1771 GRID:grid.266093.8 UC, Irvine Department of Physics and Astronomy, University of California Irvine, Irvine, CA, USA Ghosh, Anindya INSPIRE-00651657 ORCID:0000-0002-5716-356X ROR:https://ror.org/03m2x1q45 GRID:grid.134563.6 Arizona U. Department of Physics, University of Arizona, Tucson, AZ, USA Giacobbe, Benedetto INSPIRE-00214725 ORCID:0000-0003-2987-7642 GRID:grid.470193.8 ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Sezione di Bologna, Bologna, Italy Giagu, Stefano INSPIRE-00084627 ORCID:0000-0001-9192-3537 GRID:grid.470218.8 ROR:https://ror.org/02be6w209 GRID:grid.7841.a INFN, Rome Rome U. INFN Sezione di Roma, Rome, Italy Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy Giani, Tommaso ORCID:0000-0001-7135-6731 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Giannini, Antonio INSPIRE-00641124 ORCID:0000-0002-5683-814X ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Gibson, Stephen INSPIRE-00214737 ORCID:0000-0002-1236-9249 ROR:https://ror.org/04g2vpn86 GRID:grid.4970.a Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham, UK Gignac, Matthew INSPIRE-00425540 ORCID:0000-0003-4155-7844 ROR:https://ror.org/03s65by71 GRID:grid.205975.c UC, Santa Cruz Santa Cruz Institute for Particle Physics, University of California Santa Cruz, Santa Cruz, CA, USA Gil, Damian ORCID:0000-0001-9021-8836 ROR:https://ror.org/03bqmcz70 GRID:grid.5522.0 Jagiellonian U. Marian Smoluchowski Institute of Physics, Jagiellonian University, Krakow, Poland Gilbert, Alexander Kevin ORCID:0000-0002-8813-4446 ROR:https://ror.org/00bas1c41 GRID:grid.9922.0 AGH-UST, Cracow AGH University of Krakow, Faculty of Physics and Applied Computer Science, Krakow, Poland Gilbert, Benjamin Jacob ORCID:0000-0003-0731-710X ROR:https://ror.org/00hj8s172 GRID:grid.21729.3f Nevis Labs, Columbia U. Nevis Laboratory, Columbia University, Irvington, NY, USA Gillberg, Dag INSPIRE-00006756 ORCID:0000-0003-0341-0171 ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Gilles, Geoffrey INSPIRE-00364250 ORCID:0000-0001-8451-4604 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Gingrich, Doug INSPIRE-00084876 ORCID:0000-0002-2552-1449 ROR:https://ror.org/0160cpw27 GRID:grid.17089.37 ROR:https://ror.org/03kgj4539 GRID:grid.232474.4 Alberta U. TRIUMF Department of Physics, University of Alberta, Edmonton, AB, Canada TRIUMF, Vancouver, BC, Canada Giordani, Mapo INSPIRE-00084948 ORCID:0000-0002-0792-6039 ROR:https://ror.org/05ht0mh31 GRID:grid.5390.f INFN, Udine Udine U. INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy Dipartimento Politecnico di Ingegneria e Architettura, Università di Udine, Udine, Italy Giordano, Domenico ORCID:0000-0002-9789-3188 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Giraud, Pierre-Francois INSPIRE-00214780 ORCID:0000-0002-8485-9351 ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Giugliarelli, Gilberto INSPIRE-00560327 ORCID:0000-0001-5765-1750 ROR:https://ror.org/05ht0mh31 GRID:grid.5390.f INFN, Udine Udine U. INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy Dipartimento Politecnico di Ingegneria e Architettura, Università di Udine, Udine, Italy Giugni, Danilo INSPIRE-00214804 ORCID:0000-0002-6976-0951 GRID:grid.470206.7 ROR:https://ror.org/04w4m6z96 INFN, Milan INFN Sezione di Milano, Milan, Italy Giuli, Francesco INSPIRE-00544699 ORCID:0000-0002-8506-274X GRID:grid.470219.9 ROR:https://ror.org/02p77k626 GRID:grid.6530.0 Rome U., Tor Vergata INFN Sezione di Roma Tor Vergata, Rome, Italy Dipartimento di Fisica, Università di Roma Tor Vergata, Rome, Italy Gkialas, Ioannis INSPIRE-00236266 ORCID:0000-0002-8402-723X ROR:https://ror.org/04gnjpq42 GRID:grid.5216.0 ROR:https://ror.org/03zsp3p94 GRID:grid.7144.6 Athens U. Aegean U., Chios Physics Department, National and Kapodistrian University of Athens, Athens, Greece Department of Financial and Management Engineering, University of the Aegean, Chios, Greece Gladilin, Leonid INSPIRE-00173602 ORCID:0000-0001-9422-8636 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Glasman, Claudia INSPIRE-00173488 ORCID:0000-0003-2025-3817 ROR:https://ror.org/01cby8j38 GRID:grid.5515.4 Madrid, Autonoma U. Departamento de Física Teorica C-15 and CIAFF, Universidad Autónoma de Madrid, Madrid, Spain Glazewska, Marianna ORCID:0009-0000-0382-3959 ROR:https://ror.org/02k7v4d05 GRID:grid.5734.5 Bern U., LHEP Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics, University of Bern, Bern, Switzerland Gleason, Riley Matthew ORCID:0000-0003-2665-0610 ROR:https://ror.org/04gyf1771 GRID:grid.266093.8 UC, Irvine Department of Physics and Astronomy, University of California Irvine, Irvine, CA, USA Glemza, Gediminas ORCID:0000-0003-4977-5256 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Glisic, Marija ROR:https://ror.org/0293rh119 GRID:grid.170202.6 Oregon U. Institute for Fundamental Science, University of Oregon, Eugene, OR, USA Gnesi, Ivan ORCID:0000-0002-0772-7312 GRID:grid.463190.9 INFN, Cosenza INFN Gruppo Collegato di Cosenza, Laboratori Nazionali di Frascati, Frascati, Italy Go, Yeonju ORCID:0000-0003-1253-1223 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Goblirsch-Kolb, Maximilian Emanuel INSPIRE-00339087 ORCID:0000-0002-2785-9654 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Gocke, Benedikt ORCID:0000-0001-8074-2538 ROR:https://ror.org/01k97gp34 GRID:grid.5675.1 Dortmund U. Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany Godin, Dominique ROR:https://ror.org/0161xgx34 GRID:grid.14848.31 Montreal U. Group of Particle Physics, University of Montreal, Montreal, QC, Canada Gokturk, Berare ORCID:0000-0002-6045-8617 ROR:https://ror.org/03z9tma90 GRID:grid.11220.30 Bogazici U. Department of Physics, Bogazici University, Istanbul, Türkiye Goldfarb, Steven INSPIRE-00085461 ORCID:0000-0002-1677-3097 GRID:grid.1008.9 ROR:https://ror.org/01h06nz15 GRID:grid.453169.c Melbourne U. School of Physics, University of Melbourne, Victoria, Australia Golling, Tobias INSPIRE-00085610 ORCID:0000-0001-8535-6687 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Gololo, Mpho Gift Doctor ORCID:0000-0002-0689-5402 ROR:https://ror.org/04z6c2n17 GRID:grid.412988.e Johannesburg U. Department of Mechanical Engineering Science, University of Johannesburg, Johannesburg, South Africa Golubkov, Dmitry INSPIRE-00260751 ORCID:0000-0002-5521-9793 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Gombas, Jason Peter ORCID:0000-0002-8285-3570 ROR:https://ror.org/05hs6h993 GRID:grid.17088.36 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA Da Silva Gomes, Agostinho INSPIRE-00226662 ORCID:0000-0002-5940-9893 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 ROR:https://ror.org/01c27hj86 GRID:grid.9983.b LIP, Lisbon Lisboa U., CFNUL Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Departamento de Física, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal Da Silva, G.Gomes ORCID:0000-0002-3552-1266 ROR:https://ror.org/02azyry73 GRID:grid.5836.8 Siegen U. Department Physik, Universität Siegen, Siegen, Germany Gomez Delegido, Antonio Jesus ORCID:0000-0003-4315-2621 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Morais Silva Goncalo, Ricardo Jose INSPIRE-00171282 ORCID:0000-0002-3826-3442 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 LIP, Lisbon Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Gonella, Laura INSPIRE-00001730 ORCID:0000-0002-4919-0808 ROR:https://ror.org/03angcq70 GRID:grid.6572.6 Birmingham U. School of Physics and Astronomy, University of Birmingham, Birmingham, UK Gongadze, Alexi INSPIRE-00439573 ORCID:0000-0001-8183-1612 GRID:grid.264978.6 ROR:https://ror.org/00te3t702 GRID:grid.213876.9 Georgia U. University of Georgia, Tbilisi, Georgia Gonnella, Francesco INSPIRE-00571490 ORCID:0000-0003-0885-1654 ROR:https://ror.org/03angcq70 GRID:grid.6572.6 Birmingham U. School of Physics and Astronomy, University of Birmingham, Birmingham, UK Gonski, Julia Lynne INSPIRE-00567375 ORCID:0000-0003-2037-6315 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Andana, R.Y.González ORCID:0000-0002-0700-1757 ROR:https://ror.org/01nrxwf90 GRID:grid.4305.2 Edinburgh U. SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK Gonzalez De La Hoz, Santiago INSPIRE-00214978 ORCID:0000-0001-5304-5390 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Gonzalez Rodrigues, Marcus Vinicius ORCID:0000-0002-7906-8088 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Gonzalez Suarez, Rebeca INSPIRE-00317710 ORCID:0000-0002-6126-7230 ROR:https://ror.org/048a87296 GRID:grid.8993.b Uppsala U., Inst. Theor. Phys. Department of Physics and Astronomy, University of Uppsala, Uppsala, Sweden Gonzalez Sevilla, Sergio INSPIRE-00214993 ORCID:0000-0003-4458-9403 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Goossens, Luc INSPIRE-00215005 ORCID:0000-0002-2536-4498 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Gorini, Benedetto INSPIRE-00215017 ORCID:0000-0003-4177-9666 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Gorini, Edoardo INSPIRE-00085978 ORCID:0000-0002-7688-2797 GRID:grid.470680.d ROR:https://ror.org/03fc1k060 GRID:grid.9906.6 INFN, Lecce Salento U. INFN Sezione di Lecce, Lecce, Italy Dipartimento di Matematica e Fisica, Università del Salento, Lecce, Italy Gorisek, Andrej INSPIRE-00215023 ORCID:0000-0002-3903-3438 GRID:grid.8954.0 ROR:https://ror.org/05060sz93 GRID:grid.11375.31 Stefan Inst., Ljubljana Department of Experimental Particle Physics, Jožef Stefan Institute and Department of Physics, University of Ljubljana, Ljubljana, Slovenia Gosart, Thomas Christopher ORCID:0000-0002-8867-2551 ROR:https://ror.org/00b30xv10 GRID:grid.25879.31 Pennsylvania U. Department of Physics, University of Pennsylvania, Philadelphia, PA, USA Goshaw, A.T. INSPIRE-00086006 ORCID:0000-0002-5704-0885 ROR:https://ror.org/00py81415 GRID:grid.26009.3d Duke U. Department of Physics, Duke University, Durham, NC, USA Gostkin, Mikhail INSPIRE-00215072 ORCID:0000-0002-4311-3756 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Goswami, Soumyananda ORCID:0000-0001-9566-4640 ROR:https://ror.org/01g9vbr38 GRID:grid.65519.3e Oklahoma State U. Department of Physics, Oklahoma State University, Stillwater, OK, USA Gottardo, Carlo Alberto INSPIRE-00548838 ORCID:0000-0003-0348-0364 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Gotz, Stefanie Andrea ORCID:0000-0002-7518-7055 ROR:https://ror.org/05591te55 GRID:grid.5252.0 Munich U. Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany Gouighri, Mohamed INSPIRE-00215084 ORCID:0000-0002-9551-0251 ROR:https://ror.org/02wj89n04 GRID:grid.412150.3 Ibn Tofail U. Faculté des Sciences, Université Ibn-Tofail, Kénitra, Morocco Goussiou, Anna INSPIRE-00086179 ORCID:0000-0001-6211-7122 GRID:grid.34477.33 ROR:https://ror.org/03d17d270 GRID:grid.504155.0 Washington U., Seattle Department of Physics, University of Washington, Seattle, WA, USA Govender, Nicolin INSPIRE-00335913 ORCID:0000-0002-5068-5429 ROR:https://ror.org/04z6c2n17 GRID:grid.412988.e Johannesburg U. Department of Mechanical Engineering Science, University of Johannesburg, Johannesburg, South Africa Grabarczyk, Radoslaw Piotr ORCID:0009-0007-1845-0762 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Grabowska-Bold, Iwona INSPIRE-00172493 ORCID:0000-0001-9159-1210 ROR:https://ror.org/00bas1c41 GRID:grid.9922.0 AGH-UST, Cracow AGH University of Krakow, Faculty of Physics and Applied Computer Science, Krakow, Poland Graham, Kevin Robert ORCID:0000-0002-5832-8653 ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Gramstad, Eirik INSPIRE-00328259 ORCID:0000-0001-5792-5352 ROR:https://ror.org/01xtthb56 GRID:grid.5510.1 Oslo U. Department of Physics, University of Oslo, Oslo, Norway Grancagnolo, Sergio INSPIRE-00041686 ORCID:0000-0001-8490-8304 GRID:grid.470680.d ROR:https://ror.org/03fc1k060 GRID:grid.9906.6 INFN, Lecce Salento U. INFN Sezione di Lecce, Lecce, Italy Dipartimento di Matematica e Fisica, Università del Salento, Lecce, Italy Grant, Charles Michael ROR:https://ror.org/00892tw58 GRID:grid.1010.0 Adelaide U. Department of Physics, University of Adelaide, Adelaide, Australia Gravila, Paul INSPIRE-00443594 ORCID:0000-0002-0154-577X ROR:https://ror.org/0583a0t97 GRID:grid.14004.31 West Timisoara U. West University in Timisoara, Timisoara, Romania Gravili, Francesco Giuseppe INSPIRE-00641139 ORCID:0000-0003-2422-5960 GRID:grid.470680.d ROR:https://ror.org/03fc1k060 GRID:grid.9906.6 INFN, Lecce Salento U. INFN Sezione di Lecce, Lecce, Italy Dipartimento di Matematica e Fisica, Università del Salento, Lecce, Italy Gray, Heather INSPIRE-00032771 ORCID:0000-0002-5293-4716 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Greco, Matteo ORCID:0000-0001-8687-7273 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Green, Matthew James ORCID:0000-0003-4402-7160 ROR:https://ror.org/00892tw58 GRID:grid.1010.0 Adelaide U. Department of Physics, University of Adelaide, Adelaide, Australia Grefe, Christian INSPIRE-00166555 ORCID:0000-0001-7050-5301 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Grefsrud, Aurora Singstad ORCID:0009-0005-9063-4131 ROR:https://ror.org/03zga2b32 GRID:grid.7914.b Bergen U. Department for Physics and Technology, University of Bergen, Bergen, Norway Gregor, Ingrid INSPIRE-00086670 ORCID:0000-0002-5976-7818 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Greif, Kevin Thomas ORCID:0000-0001-6607-0595 ROR:https://ror.org/04gyf1771 GRID:grid.266093.8 UC, Irvine Department of Physics and Astronomy, University of California Irvine, Irvine, CA, USA Grenier, Philippe INSPIRE-00050339 ORCID:0000-0002-9926-5417 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Grewe, Simon Gabriel ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Grillo, Alex INSPIRE-00086795 ORCID:0000-0003-2950-1872 ROR:https://ror.org/03s65by71 GRID:grid.205975.c UC, Santa Cruz Santa Cruz Institute for Particle Physics, University of California Santa Cruz, Santa Cruz, CA, USA Grimm, Katy INSPIRE-00301388 ORCID:0000-0001-6587-7397 GRID:grid.213902.b ROR:https://ror.org/03enmdz06 GRID:grid.253558.c Fresno State California State University, Long Beach, CA, USA Grinstein, Sebastian INSPIRE-00086810 ORCID:0000-0002-6460-8694 ROR:https://ror.org/03kpps236 GRID:grid.473715.3 GRID:grid.425902.8 Barcelona, IFAE ICREA, Barcelona Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Institucio Catalana de Recerca i Estudis Avancats, ICREA, Barcelona, Spain Grivaz, Jean-Francois INSPIRE-00086861 ORCID:0000-0003-4793-7995 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Gross, Eilam INSPIRE-00086983 ORCID:0000-0003-1244-9350 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Grosse-Knetter, Joern INSPIRE-00087004 ORCID:0000-0003-3085-7067 ROR:https://ror.org/01y9bpm73 GRID:grid.7450.6 Gottingen U., II. Phys. Inst. II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany Guan, Liang INSPIRE-00361789 ORCID:0000-0003-1897-1617 ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Guerrieri, Giovanni ORCID:0000-0002-3403-1177 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Guevara, Ruben ORCID:0009-0004-6822-7452 ROR:https://ror.org/01xtthb56 GRID:grid.5510.1 Oslo U. Department of Physics, University of Oslo, Oslo, Norway Gugel, Ralf INSPIRE-00551880 ORCID:0000-0002-3349-1163 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Guhit, Jem Aizen Mendiola ORCID:0000-0002-9802-0901 ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Guida, Alessandro ORCID:0000-0001-9021-9038 ROR:https://ror.org/01hcx6992 GRID:grid.7468.d Humboldt U., Berlin Institut für Physik, Humboldt Universität zu Berlin, Berlin, Germany Guilloton, Eva ORCID:0000-0003-4814-6693 ROR:https://ror.org/01a77tt86 GRID:grid.7372.1 Warwick U. Department of Physics, University of Warwick, Coventry, UK Guindon, Stefan INSPIRE-00230412 ORCID:0000-0001-7595-3859 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Guo, Fangyi ORCID:0000-0002-3864-9257 GRID:grid.9227.e GRID:grid.410726.6 ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. UCAS, Beijing Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China University of Chinese Academy of Science (UCAS), Beijing, China Guo, Jun INSPIRE-00047393 ORCID:0000-0001-8125-9433 ROR:https://ror.org/0220qvk04 GRID:grid.16821.3c Shanghai Jiao Tong U. State Key Laboratory of Dark Matter Physics, School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MOE), SKLPPC, Shanghai, China Guo, Linghua ORCID:0000-0002-6785-9202 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Guo, Lei ORCID:0009-0006-9125-5210 GRID:grid.12981.33 GRID:grid.256922.8 ROR:https://ror.org/0064kty71 ROR:https://ror.org/003xyzq10 SYSU, Guangzhou Henan U. School of Science, Shenzhen Campus of Sun Yat-sen University, Guangzhou, China Henan University, Kaifeng, China Guo, Yuxiang ORCID:0000-0002-6027-5132 ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Gupta, Anubhav ORCID:0009-0003-7307-9741 ROR:https://ror.org/01k97gp34 GRID:grid.5675.1 Dortmund U. Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany Gupta, Rajat ORCID:0000-0002-8508-8405 ROR:https://ror.org/01an3r305 GRID:grid.21925.3d Pittsburgh U. Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA, USA Gupta, Shubham ORCID:0009-0001-6021-4313 ROR:https://ror.org/05abbep66 GRID:grid.253264.4 Brandeis U. Department of Physics, Brandeis University, Waltham, MA, USA Gurbuz, Saime INSPIRE-00439637 ORCID:0000-0002-9152-1455 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Gurdasani, Simran Sunil ORCID:0000-0002-8836-0099 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Gustavino, Giuliano INSPIRE-00394284 ORCID:0000-0002-5938-4921 GRID:grid.470218.8 ROR:https://ror.org/02be6w209 GRID:grid.7841.a INFN, Rome Rome U. INFN Sezione di Roma, Rome, Italy Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy Gutierrez, Phillip INSPIRE-00087527 ORCID:0000-0003-2326-3877 ROR:https://ror.org/02aqsxs83 GRID:grid.266900.b Oklahoma U. Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, OK, USA Gutierrez Zagazeta, Luis Felipe ORCID:0000-0003-0374-1595 ROR:https://ror.org/00b30xv10 GRID:grid.25879.31 Pennsylvania U. Department of Physics, University of Pennsylvania, Philadelphia, PA, USA Gutsche, Manuel ORCID:0000-0002-0947-7062 ROR:https://ror.org/042aqky30 GRID:grid.4488.0 Dresden, Tech. U. Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany Gutschow, Christian INSPIRE-00346139 ORCID:0000-0003-0857-794X ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Gwenlan, Claire INSPIRE-00173806 ORCID:0000-0002-3518-0617 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Gwilliam, Carl INSPIRE-00215301 ORCID:0000-0002-9401-5304 ROR:https://ror.org/04xs57h96 GRID:grid.10025.36 Liverpool U. Oliver Lodge Laboratory, University of Liverpool, Liverpool, UK Haaland, Even Simonsen ORCID:0000-0002-3676-493X ROR:https://ror.org/01xtthb56 GRID:grid.5510.1 Oslo U. Department of Physics, University of Oslo, Oslo, Norway Haas, Andrew INSPIRE-00053405 ORCID:0000-0002-4832-0455 ROR:https://ror.org/0190ak572 GRID:grid.137628.9 New York U. Department of Physics, New York University, New York, NY, USA Habedank, Martin ORCID:0000-0002-7412-9355 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Haber, Carl INSPIRE-00087660 ORCID:0000-0002-0155-1360 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Hadavand, Haleh INSPIRE-00042933 ORCID:0000-0001-5447-3346 ROR:https://ror.org/019kgqr73 GRID:grid.267315.4 Texas U., Arlington Department of Physics, University of Texas at Arlington, Arlington, TX, USA Haddad, Abdelhamid ORCID:0000-0001-9553-9372 GRID:grid.433124.3 ROR:https://ror.org/0214k6v65 GRID:grid.470921.9 Clermont-Ferrand U. LPC, Université Clermont Auvergne, CNRS/IN2P3, Clermont-Ferrand, France Hadef, Asma INSPIRE-00439100 ORCID:0000-0003-2508-0628 ROR:https://ror.org/042aqky30 GRID:grid.4488.0 Dresden, Tech. U. Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany Hagan, Alina ORCID:0000-0002-2079-4739 GRID:grid.9835.7 ROR:https://ror.org/01g3dya06 GRID:grid.472314.7 Lancaster U. Physics Department, Lancaster University, Lancaster, UK Hahn, Jan Joachim ORCID:0000-0002-1677-4735 ROR:https://ror.org/02azyry73 GRID:grid.5836.8 Siegen U. Department Physik, Universität Siegen, Siegen, Germany Haines, Emil ORCID:0000-0002-5417-2081 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Haleem, Mahsana INSPIRE-00039197 ORCID:0000-0003-3826-6333 ROR:https://ror.org/00fbnyb24 GRID:grid.8379.5 Wurzburg U. Fakultät für Physik und Astronomie, Julius-Maximilians-Universität Würzburg, Würzburg, Germany Haley, Joseph INSPIRE-00006781 ORCID:0000-0002-6938-7405 ROR:https://ror.org/01g9vbr38 GRID:grid.65519.3e Oklahoma State U. Department of Physics, Oklahoma State University, Stillwater, OK, USA Hallewell, Gregory INSPIRE-00088110 ORCID:0000-0001-6267-8560 ROR:https://ror.org/00fw8bp86 GRID:grid.470046.1 Marseille, CPPM CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France Hamano, Kenji INSPIRE-00041649 ORCID:0000-0002-9438-8020 ROR:https://ror.org/04s5mat29 GRID:grid.143640.4 Victoria U. Department of Physics and Astronomy, University of Victoria, Victoria, BC, Canada Hamdaoui, Hassane INSPIRE-00646225 ORCID:0000-0001-5709-2100 ROR:https://ror.org/048a87296 GRID:grid.8993.b Uppsala U., Inst. Theor. Phys. Department of Physics and Astronomy, University of Uppsala, Uppsala, Sweden Hamer, Matthias INSPIRE-00236314 ORCID:0000-0003-1550-2030 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Hammoud, Salah El Dine ORCID:0009-0004-8491-5685 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Hampshire, Emily ORCID:0000-0001-7988-4504 ROR:https://ror.org/04g2vpn86 GRID:grid.4970.a Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham, UK Han, Jingyi ORCID:0000-0002-1008-0943 ROR:https://ror.org/0207yh398 GRID:grid.27255.37 Shandong U. Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao, China Han, Liangliang ORCID:0000-0003-3321-8412 ROR:https://ror.org/01rxvg760 GRID:grid.41156.37 Nanjing U. Department of Physics, Nanjing University, Nanjing, China Han, Liang INSPIRE-00037384 ORCID:0000-0002-6353-9711 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Han, Shuo INSPIRE-00530966 ORCID:0000-0001-8383-7348 GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Hanagaki, Kazunori INSPIRE-00215349 ORCID:0000-0003-0676-0441 ROR:https://ror.org/01g5y5k24 GRID:grid.410794.f KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Hance, Mike INSPIRE-00215350 ORCID:0000-0001-8392-0934 ROR:https://ror.org/03s65by71 GRID:grid.205975.c UC, Santa Cruz Santa Cruz Institute for Particle Physics, University of California Santa Cruz, Santa Cruz, CA, USA Hangal, Dhanush Anil ORCID:0000-0002-3826-7232 ROR:https://ror.org/00hj8s172 GRID:grid.21729.3f Nevis Labs, Columbia U. Nevis Laboratory, Columbia University, Irvington, NY, USA Hanif, Hamza ORCID:0000-0002-0984-7887 ROR:https://ror.org/0213rcc28 GRID:grid.61971.38 Simon Fraser U. Department of Physics, Simon Fraser University, Burnaby, BC, Canada Hank, Michael Donald ORCID:0000-0002-4731-6120 ROR:https://ror.org/00b30xv10 GRID:grid.25879.31 Pennsylvania U. Department of Physics, University of Pennsylvania, Philadelphia, PA, USA Hansen, Jorgen Beck INSPIRE-00215374 ORCID:0000-0002-3684-8340 ROR:https://ror.org/035b05819 GRID:grid.5254.6 Bohr Inst. Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark Hansen, Peter INSPIRE-00215386 ORCID:0000-0002-6764-4789 ROR:https://ror.org/035b05819 GRID:grid.5254.6 Bohr Inst. Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark Harada, Daigo ORCID:0000-0002-0792-0569 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Harenberg, Torsten INSPIRE-00215424 ORCID:0000-0001-8682-3734 ROR:https://ror.org/00613ak93 GRID:grid.7787.f Wuppertal U. Fakultät für Mathematik und Naturwissenschaften, Fachgruppe Physik, Bergische Universität Wuppertal, Wuppertal, Germany Harkusha, Siarhei INSPIRE-00236332 ORCID:0000-0002-0309-4490 ROR:https://ror.org/00ad27c73 GRID:grid.48507.3e Yerevan Phys. Inst. Yerevan Physics Institute, Yerevan, Armenia Harris, Matthew Leary ORCID:0009-0001-8882-5976 ROR:https://ror.org/0072zz521 GRID:grid.266683.f Massachusetts U., Amherst Department of Physics, University of Massachusetts, Amherst, MA, USA Harris, Ynyr ORCID:0000-0001-5816-2158 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Harrison, Jack ORCID:0000-0003-2576-080X ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Harrison, Natalie Marie ORCID:0000-0002-7461-8351 ROR:https://ror.org/00rs6vg23 GRID:grid.261331.4 Ohio State U. Ohio State University, Columbus, OH, USA Harrison, Paul Fraser INSPIRE-00088800 ROR:https://ror.org/01a77tt86 GRID:grid.7372.1 Warwick U. Department of Physics, University of Warwick, Coventry, UK Hart, M.L.E. ORCID:0009-0004-5309-911X ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Hartman, Nicole Michelle ORCID:0000-0001-9111-4916 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Krug, Nikolai INSPIRE-00452386 ORCID:0000-0003-0047-2908 ROR:https://ror.org/05591te55 GRID:grid.5252.0 Munich U. Hartmann, N.M. ORCID:0000-0003-0047-2908 GRID:grid.5252.0 ROR:https://ror.org/05591te55 Munich U. Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany Hasan, Rosie ORCID:0009-0009-5896-9141 ROR:https://ror.org/04g2vpn86 GRID:grid.4970.a ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Royal Holloway, U. of London Rutherford Department of Physics, Royal Holloway University of London, Egham, UK Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Hasegawa, Yoji INSPIRE-00089003 ORCID:0000-0003-2683-7389 GRID:grid.263518.b ROR:https://ror.org/05b7rex33 GRID:grid.444226.2 Shinshu U. Department of Physics, Shinshu University, Nagano, Japan Haslbeck, Florian ORCID:0000-0002-1804-5747 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Hassan, Sohaib ORCID:0000-0002-5027-4320 ROR:https://ror.org/03zga2b32 GRID:grid.7914.b Bergen U. Department for Physics and Technology, University of Bergen, Bergen, Norway Hauser, Reiner INSPIRE-00215503 ORCID:0000-0001-7682-8857 ROR:https://ror.org/05hs6h993 GRID:grid.17088.36 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA Haviernik, Matej ORCID:0009-0004-1888-506X ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Hawkes, Chris INSPIRE-00089196 ORCID:0000-0001-9167-0592 ROR:https://ror.org/03angcq70 GRID:grid.6572.6 Birmingham U. School of Physics and Astronomy, University of Birmingham, Birmingham, UK Hawkings, Richard INSPIRE-00148070 ORCID:0000-0001-9719-0290 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Hayashi, Yuichiro ORCID:0000-0002-1222-4672 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Hayden, Daniel INSPIRE-00286543 ORCID:0000-0001-5220-2972 ROR:https://ror.org/05hs6h993 GRID:grid.17088.36 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA Hayes, Christopher Robyn INSPIRE-00578825 ORCID:0000-0002-0298-0351 ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Hayes, Robin INSPIRE-00655223 ORCID:0000-0001-7752-9285 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Hays, Chris INSPIRE-00050513 ORCID:0000-0003-2371-9723 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Hays, Jonathan INSPIRE-00005408 ORCID:0000-0003-1554-5401 ROR:https://ror.org/026zzn846 GRID:grid.4868.2 Queen Mary, U. of London Department of Physics and Astronomy, Queen Mary University of London, London, UK Hayward, Helen INSPIRE-00142771 ORCID:0000-0002-0972-3411 ROR:https://ror.org/04xs57h96 GRID:grid.10025.36 Liverpool U. Oliver Lodge Laboratory, University of Liverpool, Liverpool, UK He, Mingxu ORCID:0000-0003-0514-2115 GRID:grid.9227.e GRID:grid.410726.6 ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. UCAS, Beijing Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China University of Chinese Academy of Science (UCAS), Beijing, China He, Yajun ORCID:0000-0001-8068-5596 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany He, Yi ORCID:0009-0005-3061-4294 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Heatley, Nathan ORCID:0000-0003-2204-4779 ROR:https://ror.org/026zzn846 GRID:grid.4868.2 Queen Mary, U. of London Department of Physics and Astronomy, Queen Mary University of London, London, UK Hedberg, Vincent INSPIRE-00215527 ORCID:0000-0002-4596-3965 ROR:https://ror.org/012a77v79 GRID:grid.4514.4 Lund U. Fysiska institutionen, Lunds universitet, Lund, Sweden Heidegger, Constantin INSPIRE-00426363 ORCID:0000-0001-8821-1205 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Heidegger, Kim Katrin INSPIRE-00224321 ORCID:0000-0003-3113-0484 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Heilman, Jesse INSPIRE-00291600 ORCID:0000-0001-6792-2294 ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Heim, Sarah INSPIRE-00215540 ORCID:0000-0002-2639-6571 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Heim, Timon INSPIRE-00356268 ORCID:0000-0002-7669-5318 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Heinlein, James Geddy ORCID:0000-0001-6878-9405 ROR:https://ror.org/00b30xv10 GRID:grid.25879.31 Pennsylvania U. Department of Physics, University of Pennsylvania, Philadelphia, PA, USA Heinrich, Jochen Jens INSPIRE-00441872 ORCID:0000-0002-0253-0924 ROR:https://ror.org/0293rh119 GRID:grid.170202.6 Oregon U. Institute for Fundamental Science, University of Oregon, Eugene, OR, USA Heinrich, Lukas Alexander INSPIRE-00356271 ORCID:0000-0002-4048-7584 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Hejbal, Jiri INSPIRE-00339101 ORCID:0000-0002-4600-3659 GRID:grid.424881.3 ROR:https://ror.org/04jymbd90 GRID:grid.425110.3 Prague, Inst. Phys. Institute of Physics of the Czech Academy of Sciences, Prague, Czech Republic Helbig, Markus ORCID:0009-0005-5487-2124 ROR:https://ror.org/042aqky30 GRID:grid.4488.0 Dresden, Tech. U. Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany Held, Alexander INSPIRE-00536620 ORCID:0000-0002-8924-5885 GRID:grid.28803.31 ROR:https://ror.org/01y2jtd41 GRID:grid.14003.36 Wisconsin U., Madison Department of Physics, University of Wisconsin, Madison, WI, USA Hellesund, Simen INSPIRE-00576474 ORCID:0000-0002-4424-4643 ROR:https://ror.org/03zga2b32 GRID:grid.7914.b Bergen U. Department for Physics and Technology, University of Bergen, Bergen, Norway Helling, Cole Michael INSPIRE-00651662 ORCID:0000-0002-2657-7532 ROR:https://ror.org/03rmrcq20 GRID:grid.17091.3e British Columbia U. Department of Physics, University of British Columbia, Vancouver, BC, Canada Hellman, Sten INSPIRE-00089640 ORCID:0000-0002-5415-1600 ROR:https://ror.org/05f0yaq80 GRID:grid.10548.38 Stockholm U. Stockholm U., OKC Department of Physics, Stockholm University, Stockholm, Sweden Oskar Klein Centre, Stockholm, Sweden Henriques Correia, Ana Maria INSPIRE-00305891 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Herde, Hannah Elizabeth INSPIRE-00524702 ORCID:0000-0001-8926-6734 ROR:https://ror.org/012a77v79 GRID:grid.4514.4 Lund U. Fysiska institutionen, Lunds universitet, Lund, Sweden Hernandez Jimenez, Yesenia INSPIRE-00215618 ORCID:0000-0001-9844-6200 ROR:https://ror.org/05qghxh33 GRID:grid.36425.36 SUNY, Stony Brook Departments of Physics and Astronomy, Stony Brook University, Stony Brook, NY, USA Herrmann, Lena Maria ORCID:0000-0002-8794-0948 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Herrmann, Tim INSPIRE-00646533 ORCID:0000-0002-1478-3152 ROR:https://ror.org/042aqky30 GRID:grid.4488.0 Dresden, Tech. U. Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany Herten, Gregor INSPIRE-00089942 ORCID:0000-0001-7661-5122 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Hertenberger, Ralf INSPIRE-00215631 ORCID:0000-0002-2646-5805 ROR:https://ror.org/05591te55 GRID:grid.5252.0 Munich U. Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany Hervas, Luis INSPIRE-00215643 ORCID:0000-0002-0778-2717 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Hesping, Moritz ORCID:0000-0002-2447-904X ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Hessey, Nigel INSPIRE-00090012 ORCID:0000-0002-6698-9937 ROR:https://ror.org/03kgj4539 GRID:grid.232474.4 TRIUMF TRIUMF, Vancouver, BC, Canada Hessler, Johannes ORCID:0000-0002-4834-4596 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Hidaoui, Mourad ORCID:0000-0003-2025-6495 ROR:https://ror.org/02wj89n04 GRID:grid.412150.3 Ibn Tofail U. Faculté des Sciences, Université Ibn-Tofail, Kénitra, Morocco Hidic, Nihad ORCID:0000-0003-4695-2798 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Hill, Ewan Chin INSPIRE-00345031 ORCID:0000-0002-1725-7414 ROR:https://ror.org/03dbr7087 GRID:grid.17063.33 Toronto U. Department of Physics, University of Toronto, Toronto, ON, Canada Hillersoy, Tarje Solberg ORCID:0009-0001-5514-2562 ROR:https://ror.org/03zga2b32 GRID:grid.7914.b Bergen U. Department for Physics and Technology, University of Bergen, Bergen, Norway Hillier, Stephen INSPIRE-00090318 ORCID:0000-0002-7599-6469 ROR:https://ror.org/03angcq70 GRID:grid.6572.6 Birmingham U. School of Physics and Astronomy, University of Birmingham, Birmingham, UK Hinds, Julia Rose ORCID:0000-0001-7844-8815 ROR:https://ror.org/05hs6h993 GRID:grid.17088.36 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA Hinterkeuser, Florian INSPIRE-00648199 ORCID:0000-0002-0556-189X ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Hirose, Minoru INSPIRE-00215710 ORCID:0000-0003-4988-9149 ROR:https://ror.org/035t8zc32 GRID:grid.136593.b Osaka U. Graduate School of Science, University of Osaka, Osaka, Japan Hirose, Shigeki INSPIRE-00397535 ORCID:0000-0002-2389-1286 ROR:https://ror.org/02956yf07 GRID:grid.20515.33 Tsukuba U. Division of Physics and Tomonaga Center for the History of the Universe, Faculty of Pure and Applied Sciences, University of Tsukuba, Tsukuba, Japan Hirschbuehl, Dominic INSPIRE-00041134 ORCID:0000-0002-7998-8925 ROR:https://ror.org/00613ak93 GRID:grid.7787.f Wuppertal U. Fakultät für Mathematik und Naturwissenschaften, Fachgruppe Physik, Bergische Universität Wuppertal, Wuppertal, Germany Hitchings, T.G. ORCID:0000-0001-8978-7118 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Hiti, Bojan INSPIRE-00541780 ORCID:0000-0002-8668-6933 GRID:grid.8954.0 ROR:https://ror.org/05060sz93 GRID:grid.11375.31 Stefan Inst., Ljubljana Department of Experimental Particle Physics, Jožef Stefan Institute and Department of Physics, University of Ljubljana, Ljubljana, Slovenia Hobbs, John David INSPIRE-00090491 ORCID:0000-0001-5404-7857 ROR:https://ror.org/05qghxh33 GRID:grid.36425.36 SUNY, Stony Brook Departments of Physics and Astronomy, Stony Brook University, Stony Brook, NY, USA Hobincu, Radu ORCID:0000-0001-7602-5771 ROR:https://ror.org/0558j5q12 GRID:grid.4551.5 Bucharest, Polytechnic Inst. National University of Science and Technology Politechnica, Bucharest, Romania Tal Hod, Noam INSPIRE-00215734 ORCID:0000-0001-5241-0544 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Hodges, Anthony ORCID:0000-0002-1021-2555 ROR:https://ror.org/047426m28 GRID:grid.35403.31 Illinois U., Urbana Department of Physics, University of Illinois, Urbana, IL, USA Hodgkinson, Mark INSPIRE-00030600 ORCID:0000-0002-1040-1241 ROR:https://ror.org/05krs5044 GRID:grid.11835.3e Sheffield U. Department of Physics and Astronomy, University of Sheffield, Sheffield, UK Hodkinson, B.H. ORCID:0000-0002-2244-189X ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Hoecker, Andreas INSPIRE-00090516 ORCID:0000-0002-6596-9395 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Hofer, Dustyn Dean ORCID:0000-0003-0028-6486 ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Hofer, Judith ORCID:0000-0003-2799-5020 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Holzbock, Michael INSPIRE-00570916 ORCID:0000-0001-8018-4185 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Hommels, L.B.A.H. INSPIRE-00027571 ORCID:0000-0003-0684-600X ROR:https://ror.org/013meh722 GRID:grid.5335.0 Cambridge U. Cavendish Laboratory, University of Cambridge, Cambridge, UK Homsak, Vid ORCID:0009-0004-4973-7799 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Honan, Benjamin Paul ORCID:0000-0002-2698-4787 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Hong, Jae Jin ORCID:0000-0002-1685-8090 GRID:grid.411377.7 ROR:https://ror.org/01kg8sb98 GRID:grid.257410.5 Indiana U. Department of Physics, Indiana University, Bloomington, IN, USA Hong, Tae Min INSPIRE-00042918 ORCID:0000-0001-7834-328X ROR:https://ror.org/01an3r305 GRID:grid.21925.3d Pittsburgh U. Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA, USA Hooberman, Benjamin Henry INSPIRE-00017664 ORCID:0000-0002-4090-6099 ROR:https://ror.org/047426m28 GRID:grid.35403.31 Illinois U., Urbana Department of Physics, University of Illinois, Urbana, IL, USA Hopkins, Walter INSPIRE-00009068 ORCID:0000-0001-7814-8740 ROR:https://ror.org/05gvnxz63 GRID:grid.187073.a Argonne High Energy Physics Division, Argonne National Laboratory, Argonne, IL, USA Hoppesch, Matthew Caleb ORCID:0000-0002-7773-3654 ROR:https://ror.org/047426m28 GRID:grid.35403.31 Illinois U., Urbana Department of Physics, University of Illinois, Urbana, IL, USA Horii, Yasuyuki INSPIRE-00370685 ORCID:0000-0003-0457-3052 ROR:https://ror.org/04chrp450 GRID:grid.27476.30 Nagoya U. Graduate School of Science and Kobayashi-Maskawa Institute, Nagoya University, Nagoya, Japan Horstmann, Malin Elisabeth ORCID:0000-0002-4359-6364 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Hou, Suen INSPIRE-00091198 ORCID:0000-0001-9861-151X ROR:https://ror.org/05bxb3784 GRID:grid.28665.3f Taiwan, Inst. Phys. Institute of Physics, Academia Sinica, Taipei, Taiwan Housenga, Mason Ray ORCID:0000-0002-5356-5510 ROR:https://ror.org/047426m28 GRID:grid.35403.31 Illinois U., Urbana Department of Physics, University of Illinois, Urbana, IL, USA Howarth, James William INSPIRE-00230643 ORCID:0000-0002-0560-8985 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Hoya, Joaquin INSPIRE-00517879 ORCID:0000-0002-7562-0234 ROR:https://ror.org/05gvnxz63 GRID:grid.187073.a Argonne High Energy Physics Division, Argonne National Laboratory, Argonne, IL, USA Hrabovsky, Miroslav INSPIRE-00334449 ORCID:0000-0003-4223-7316 ROR:https://ror.org/04qxnmv42 GRID:grid.10979.36 Palacky U. Palacký University, Joint Laboratory of Optics, Olomouc, Czech Republic Hrynova, Tetiana INSPIRE-00049739 ORCID:0000-0001-5914-8614 GRID:grid.433124.3 ROR:https://ror.org/049nhh297 GRID:grid.450330.1 Annecy, LAPP LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France Hsu, Pai-Hsien INSPIRE-00036505 ORCID:0000-0003-3895-8356 ROR:https://ror.org/00zdnkx70 GRID:grid.38348.34 Taiwan, Natl. Tsing Hua U. Kaya, Colette ORCID:0000-0002-9775-7303 ROR:https://ror.org/05wvpxv85 GRID:grid.429997.8 Tufts U. Khubua, Djemal INSPIRE-00305959 ORCID:0000-0003-2350-1249 ROR:https://ror.org/05fd1hd85 GRID:grid.26193.3f Tbilisi State U. Kock, Daniela INSPIRE-00687234 ORCID:0000-0002-9090-5502 ROR:https://ror.org/0293rh119 GRID:grid.170202.6 Oregon U. Kourlitis, Vangelis INSPIRE-00537788 ORCID:0000-0001-6568-2047 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Kowalewski, Bob INSPIRE-00098130 ORCID:0000-0002-7314-0990 ROR:https://ror.org/04s5mat29 GRID:grid.143640.4 Victoria U. Kraus, Jack ORCID:0000-0001-8701-4592 ROR:https://ror.org/012wxa772 GRID:grid.261128.e Northern Illinois U. Koultchitski, Yuri INSPIRE-00098974 ORCID:0000-0002-3036-5575 CERN Malecki, Pawel INSPIRE-00219707 ORCID:0000-0001-8183-0468 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Martynwood, Alex Christopher INSPIRE-00219970 ORCID:0000-0001-9080-2944 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Mcdonald, Millie INSPIRE-00507462 ORCID:0000-0002-8092-5331 ROR:https://ror.org/01h06nz15 GRID:grid.453169.c Melbourne U. Mc Govern, Bobby ORCID:0000-0001-9139-6896 ROR:https://ror.org/00b30xv10 GRID:grid.25879.31 Pennsylvania U. Murray, Bill INSPIRE-00109809 ORCID:0000-0003-1710-6306 ROR:https://ror.org/01a77tt86 GRID:grid.7372.1 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Warwick U. Rutherford Panduro Vazquez, William INSPIRE-00042480 ORCID:0000-0003-2605-8940 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Rutherford Mihule, Kristina INSPIRE-00655970 ORCID:0000-0002-0654-8398 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN Pham, Joni INSPIRE-00573381 ORCID:0000-0002-8859-1313 GRID:grid.38348.34 ROR:https://ror.org/01h06nz15 GRID:grid.453169.c Melbourne U. Department of Physics, National Tsing Hua University, Hsinchu, Taiwan Hsu, Shih-Chieh INSPIRE-00041120 ORCID:0000-0001-6214-8500 GRID:grid.34477.33 ROR:https://ror.org/03d17d270 GRID:grid.504155.0 Washington U., Seattle Department of Physics, University of Washington, Seattle, WA, USA Hsu, Tao ORCID:0000-0001-9157-295X GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Hu, Miao ORCID:0000-0003-2858-6931 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Hu, Qipeng INSPIRE-00386928 ORCID:0000-0002-9705-7518 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Huang, Shuhui ORCID:0000-0002-1177-6758 ROR:https://ror.org/013meh722 GRID:grid.5335.0 Cambridge U. Cavendish Laboratory, University of Cambridge, Cambridge, UK Huang, Xinhui ORCID:0009-0004-1494-0543 GRID:grid.9227.e GRID:grid.410726.6 ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. UCAS, Beijing Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China University of Chinese Academy of Science (UCAS), Beijing, China Huang, Yicong ORCID:0000-0003-1826-2749 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Huang, Yingjun ORCID:0009-0005-6128-0936 GRID:grid.12981.33 ROR:https://ror.org/0064kty71 SYSU, Guangzhou School of Science, Shenzhen Campus of Sun Yat-sen University, Guangzhou, China Huang, Yan ORCID:0000-0002-1499-6051 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Huang, Yanping INSPIRE-00340219 ORCID:0000-0002-5972-2855 GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Huang, Zuchen ORCID:0000-0002-9008-1937 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Hubacek, Zdenek INSPIRE-00032940 ORCID:0000-0003-3250-9066 ROR:https://ror.org/03kqpb082 GRID:grid.6652.7 Prague, Tech. U. Czech Technical University in Prague, Prague, Czech Republic Hubner, Michael INSPIRE-00578837 ORCID:0000-0002-1162-8763 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Huegging, Fabian INSPIRE-00215874 ORCID:0000-0002-7472-3151 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Huffman, Todd Brian INSPIRE-00215888 ORCID:0000-0002-5332-2738 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK De Faria, M.Hufnagel Maranha ORCID:0009-0002-7136-9457 ROR:https://ror.org/04yqw9c44 GRID:grid.411198.4 Juiz de Fora U. Departamento de Engenharia Elétrica, Universidade Federal de Juiz de Fora (UFJF), Juiz de Fora, Brazil Hugli, Cedrine Alexandra ORCID:0000-0002-3654-5614 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Huhtinen, Mika INSPIRE-00320486 ORCID:0000-0002-1752-3583 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Huiberts, Simon Kristian ORCID:0000-0002-3277-7418 ROR:https://ror.org/03zga2b32 GRID:grid.7914.b Bergen U. Department for Physics and Technology, University of Bergen, Bergen, Norway Hulsken, Raphael Alain ORCID:0000-0002-0095-1290 ROR:https://ror.org/01pxwe438 GRID:grid.14709.3b McGill U. Department of Physics, McGill University, Montreal, QC, Canada Hultquist, Charles Elliott ORCID:0009-0006-8213-621X ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Humphreys, Daniel Lewis ORCID:0009-0005-0845-751X ROR:https://ror.org/0072zz521 GRID:grid.266683.f Massachusetts U., Amherst Department of Physics, University of Massachusetts, Amherst, MA, USA Huseynov, Nazim INSPIRE-00215894 ORCID:0000-0003-2201-5572 GRID:grid.435347.2 ROR:https://ror.org/006m4q736 GRID:grid.423902.e Baku, Inst. Phys. Institute of Physics, Azerbaijan Academy of Sciences, Baku, Azerbaijan Huston, Joey INSPIRE-00091715 ORCID:0000-0001-9097-3014 ROR:https://ror.org/05hs6h993 GRID:grid.17088.36 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA Huth, John INSPIRE-00091758 ORCID:0000-0002-6867-2538 ROR:https://ror.org/03vek6s52 GRID:grid.38142.3c Harvard U., Phys. Dept. Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA, USA Hyneman, Rachel Jordan INSPIRE-00564990 ORCID:0000-0002-9093-7141 ROR:https://ror.org/03m2x1q45 GRID:grid.134563.6 Arizona U. Department of Physics, University of Arizona, Tucson, AZ, USA Iacobucci, Giuseppe INSPIRE-00172036 ORCID:0000-0001-9965-5442 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Iakovidis, George INSPIRE-00215906 ORCID:0000-0002-0330-5921 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Iconomidou-Fayard, Lydia INSPIRE-00215920 ORCID:0000-0001-6334-6648 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Iddon, James Philip ORCID:0000-0002-2851-5554 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Iengo, Paolo INSPIRE-00215943 ORCID:0000-0002-5035-1242 GRID:grid.470211.1 ROR:https://ror.org/05290cv24 GRID:grid.4691.a Naples U. INFN Sezione di Napoli, Naples, Italy Dipartimento di Fisica, Università di Napoli, Naples, Italy Iguchi, Ryunosuke INSPIRE-00565002 ORCID:0000-0002-0940-244X ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Iiyama, Yutaro ORCID:0000-0002-8297-5930 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Iizawa, Tomoya INSPIRE-00353645 ORCID:0000-0001-5312-4865 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Ikegami, Yoichi INSPIRE-00215955 ORCID:0000-0001-7287-6579 ROR:https://ror.org/01g5y5k24 GRID:grid.410794.f KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Iliadis, Dimitrios INSPIRE-00215979 ORCID:0000-0001-6303-2761 ROR:https://ror.org/02j61yw88 GRID:grid.4793.9 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Ilic, Nikolina INSPIRE-00236423 ORCID:0000-0003-0105-7634 ROR:https://ror.org/03dbr7087 GRID:grid.17063.33 Toronto U. Department of Physics, University of Toronto, Toronto, ON, Canada Imam, Hajar ORCID:0000-0002-7854-3174 ROR:https://ror.org/001q4kn48 GRID:grid.412148.a Casablanca U. Faculté des Sciences Ain Chock, Université Hassan II de Casablanca, Casablanca, Morocco Inacio Goncalves, Guilherme ORCID:0000-0002-6807-3172 ROR:https://ror.org/0198v2949 GRID:grid.412211.5 Rio de Janeiro State U. Rio de Janeiro State University, Rio de Janeiro, Brazil Infante Cabanas, Sebastian Alonso ORCID:0009-0007-6929-5555 ROR:https://ror.org/01ht74751 GRID:grid.19208.32 La Serena U. Instituto de Investigación Multidisciplinario en Ciencia y Tecnología y Departamento de Física, Universidad de La Serena, La Serena, Chile Ingebretsen Carlson, Tom ORCID:0000-0002-3699-8517 ROR:https://ror.org/05f0yaq80 GRID:grid.10548.38 Stockholm U. Stockholm U., OKC Department of Physics, Stockholm University, Stockholm, Sweden Oskar Klein Centre, Stockholm, Sweden Inglis, James ORCID:0000-0002-9130-4792 ROR:https://ror.org/026zzn846 GRID:grid.4868.2 Queen Mary, U. of London Department of Physics and Astronomy, Queen Mary University of London, London, UK Introzzi, Gianluca INSPIRE-00092229 ORCID:0000-0002-1314-2580 GRID:grid.470213.3 ROR:https://ror.org/00s6t1f81 GRID:grid.8982.b INFN, Pavia Pavia U. INFN Sezione di Pavia, Pavia, Italy Dipartimento di Fisica, Università di Pavia, Pavia, Italy Iodice, Mauro INSPIRE-00215987 ORCID:0000-0003-4446-8150 GRID:grid.470220.3 ROR:https://ror.org/05vf0dg29 Rome III U. INFN Sezione di Roma Tre, Rome, Italy Ippolito, Valerio INSPIRE-00286608 ORCID:0000-0001-5126-1620 GRID:grid.470218.8 ROR:https://ror.org/02be6w209 GRID:grid.7841.a INFN, Rome Rome U. INFN Sezione di Roma, Rome, Italy Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy Irwin, Rebecca Katie ORCID:0000-0001-6067-104X ROR:https://ror.org/04xs57h96 GRID:grid.10025.36 Liverpool U. Oliver Lodge Laboratory, University of Liverpool, Liverpool, UK Ishino, Masaya INSPIRE-00092428 ORCID:0000-0002-7185-1334 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Islam, Wasikul INSPIRE-00586069 ORCID:0000-0002-5624-5934 GRID:grid.28803.31 ROR:https://ror.org/01y2jtd41 GRID:grid.14003.36 Wisconsin U., Madison Department of Physics, University of Wisconsin, Madison, WI, USA Issever, Cigdem INSPIRE-00178101 ORCID:0000-0001-8259-1067 ROR:https://ror.org/01hcx6992 GRID:grid.7468.d Humboldt U., Berlin Institut für Physik, Humboldt Universität zu Berlin, Berlin, Germany Istin, Serhat INSPIRE-00216012 ORCID:0000-0001-8504-6291 ROR:https://ror.org/03z9tma90 GRID:grid.11220.30 GRID:grid.32140.34 Bogazici U. Yeditepe U. Department of Physics, Bogazici University, Istanbul, Türkiye Physics Department, Yeditepe University, Istanbul, Türkiye Itabashi, Kosuke ORCID:0000-0002-6766-4704 ROR:https://ror.org/01g5y5k24 GRID:grid.410794.f KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Ito, Hiroki ORCID:0000-0003-2018-5850 ROR:https://ror.org/00ntfnx83 GRID:grid.5290.e Waseda U. Waseda University, Tokyo, Japan Iuppa, Roberto INSPIRE-00368483 ORCID:0000-0001-5038-2762 GRID:grid.470224.7 ROR:https://ror.org/05trd4x28 GRID:grid.11696.39 TIFPA-INFN, Trento Trento U. INFN-TIFPA, Povo, Italy Università degli Studi di Trento, Trento, Italy Ivina, Anna INSPIRE-00577489 ORCID:0000-0002-9152-383X ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Izzo, Vincenzo INSPIRE-00216053 ORCID:0000-0002-8770-1592 GRID:grid.470211.1 Naples U. INFN Sezione di Napoli, Naples, Italy Jacka, Petr INSPIRE-00576487 ORCID:0000-0003-2489-9930 ROR:https://ror.org/03kqpb082 GRID:grid.6652.7 Prague, Tech. U. Czech Technical University in Prague, Prague, Czech Republic Jackson, Paul INSPIRE-00042110 ORCID:0000-0002-0847-402X ROR:https://ror.org/00892tw58 GRID:grid.1010.0 Adelaide U. Department of Physics, University of Adelaide, Adelaide, Australia Jain, Prasham ORCID:0000-0001-7277-9912 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Jakobs, Karl INSPIRE-00093013 ORCID:0000-0001-8885-012X ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Jakoubek, Tomas INSPIRE-00236452 ORCID:0000-0001-7038-0369 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Jamieson, Jonathan INSPIRE-00655235 ORCID:0000-0001-9554-0787 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Jang, Wonho ORCID:0000-0002-3665-7747 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Jankovych, Samuel ORCID:0000-0002-8864-7612 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Javurkova, Martina INSPIRE-00359670 ORCID:0000-0001-8798-808X ROR:https://ror.org/0072zz521 GRID:grid.266683.f Massachusetts U., Amherst Department of Physics, University of Massachusetts, Amherst, MA, USA Jawahar, Pratik ORCID:0000-0003-2501-249X ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Jeanty, Laura INSPIRE-00216156 ORCID:0000-0001-6507-4623 ROR:https://ror.org/0293rh119 GRID:grid.170202.6 Oregon U. Institute for Fundamental Science, University of Oregon, Eugene, OR, USA Jejelava, Juansher INSPIRE-00396142 ORCID:0000-0002-0159-6593 ROR:https://ror.org/05fd1hd85 GRID:grid.26193.3f GRID:grid.428923.6 Tbilisi, Inst. Phys. Ilia State U. E. Andronikashvili Institute of Physics, Iv. Javakhishvili Tbilisi State University, Tbilisi, Georgia Institute of Theoretical Physics, Ilia State University, Tbilisi, Georgia Jenni, Peter INSPIRE-00093290 ORCID:0000-0002-4539-4192 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 Freiburg U. CERN Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany CERN, Geneva, Switzerland Jessiman, Callan ORCID:0000-0002-2839-801X ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Jia, Chen ORCID:0000-0003-2226-0519 ROR:https://ror.org/0207yh398 GRID:grid.27255.37 Shandong U. Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao, China Jia, Hao ORCID:0000-0002-7391-4423 ROR:https://ror.org/03rmrcq20 GRID:grid.17091.3e British Columbia U. Department of Physics, University of British Columbia, Vancouver, BC, Canada Jia, Jiangyong INSPIRE-00241915 ORCID:0000-0002-5725-3397 ROR:https://ror.org/05qghxh33 GRID:grid.36425.36 SUNY, Stony Brook Departments of Physics and Astronomy, Stony Brook University, Stony Brook, NY, USA Jia, Xuewei ORCID:0000-0002-5254-9930 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c GRID:grid.410726.6 Munich, Max Planck Inst. UCAS, Beijing Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany University of Chinese Academy of Science (UCAS), Beijing, China Jia, Zihang ORCID:0000-0002-2657-3099 ROR:https://ror.org/01rxvg760 GRID:grid.41156.37 Nanjing U. Department of Physics, Nanjing University, Nanjing, China Jiang, Cheng ORCID:0009-0005-0253-5716 ROR:https://ror.org/01nrxwf90 GRID:grid.4305.2 Edinburgh U. SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK Jiang, Qimin ORCID:0009-0008-8139-7279 ROR:https://ror.org/02zhqgq86 GRID:grid.194645.b Hong Kong U. Department of Physics, University of Hong Kong, Hong Kong, China Jiggins, Stephen INSPIRE-00392933 ORCID:0000-0003-2906-1977 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Jimenez Ortega, Miguel ORCID:0009-0002-4326-7461 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Jimenez Pena, Javier INSPIRE-00386283 ORCID:0000-0002-8705-628X ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Jin, Shan INSPIRE-00216225 ORCID:0000-0002-5076-7803 ROR:https://ror.org/01rxvg760 GRID:grid.41156.37 Nanjing U. Department of Physics, Nanjing University, Nanjing, China Jinaru, Adam INSPIRE-00349814 ORCID:0000-0001-7449-9164 ROR:https://ror.org/00d3pnh21 GRID:grid.443874.8 Bucharest, IFIN-HH Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania Jinnouchi, Osamu INSPIRE-00241926 ORCID:0000-0001-5073-0974 ROR:https://ror.org/0112mx960 GRID:grid.32197.3e Tokyo Inst. Tech. Department of Physics, Institute of Science, Tokyo, Japan Johansson, Per Daniel Conny INSPIRE-00305905 ORCID:0000-0001-5410-1315 ROR:https://ror.org/05krs5044 GRID:grid.11835.3e Sheffield U. Department of Physics and Astronomy, University of Sheffield, Sheffield, UK Johns, Kenneth INSPIRE-00093591 ORCID:0000-0001-9147-6052 ROR:https://ror.org/03m2x1q45 GRID:grid.134563.6 Arizona U. Department of Physics, University of Arizona, Tucson, AZ, USA Johnson, Jacob ORCID:0000-0002-4837-3733 ROR:https://ror.org/03s65by71 GRID:grid.205975.c UC, Santa Cruz Santa Cruz Institute for Particle Physics, University of California Santa Cruz, Santa Cruz, CA, USA Jolly, Fiona Ann ORCID:0009-0001-1943-1658 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Jones, Dominic ORCID:0000-0002-9204-4689 ROR:https://ror.org/00ayhx656 GRID:grid.12082.39 Sussex U. Department of Physics and Astronomy, University of Sussex, Brighton, UK Jones, Eleanor ORCID:0000-0001-6289-2292 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Jones, Kyle Scott ROR:https://ror.org/019kgqr73 GRID:grid.267315.4 Texas U., Arlington Department of Physics, University of Texas at Arlington, Arlington, TX, USA Jones, Paul ORCID:0000-0002-6293-6432 ROR:https://ror.org/013meh722 GRID:grid.5335.0 Cambridge U. Cavendish Laboratory, University of Cambridge, Cambridge, UK Jones, R.W.L. INSPIRE-00216280 ORCID:0000-0002-6427-3513 GRID:grid.9835.7 ROR:https://ror.org/01g3dya06 GRID:grid.472314.7 Lancaster U. Physics Department, Lancaster University, Lancaster, UK Jones, T.J. INSPIRE-00227120 ORCID:0000-0002-2580-1977 ROR:https://ror.org/04xs57h96 GRID:grid.10025.36 Liverpool U. Oliver Lodge Laboratory, University of Liverpool, Liverpool, UK Joos, Hans Ludwig ORCID:0000-0003-4313-4255 ROR:https://ror.org/01y9bpm73 GRID:grid.7450.6 Gottingen U., II. Phys. Inst. II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany Joshi, Roshan ORCID:0000-0001-6249-7444 ROR:https://ror.org/00rs6vg23 GRID:grid.261331.4 Ohio State U. Ohio State University, Columbus, OH, USA Jovicevic, Jelena INSPIRE-00286620 ORCID:0000-0001-5650-4556 GRID:grid.7149.b ROR:https://ror.org/04h3h5b09 GRID:grid.435330.2 Belgrade U. Institute of Physics, University of Belgrade, Belgrade, Serbia Ju, Xiangyang INSPIRE-00230799 ORCID:0000-0002-9745-1638 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Junggeburth, Johannes INSPIRE-00573369 ORCID:0000-0001-7205-1171 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Junkermann, Thomas ORCID:0000-0002-1119-8820 ROR:https://ror.org/038t36y30 GRID:grid.7700.0 Kirchhoff Inst. Phys. Kirchhoff-Institut für Physik, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Juste Rozas, Aurelio INSPIRE-00094149 ORCID:0000-0002-1558-3291 ROR:https://ror.org/03kpps236 GRID:grid.473715.3 GRID:grid.425902.8 Barcelona, IFAE ICREA, Barcelona Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Institucio Catalana de Recerca i Estudis Avancats, ICREA, Barcelona, Spain Juzek, Monika Katarzyna ORCID:0000-0002-7269-9194 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Kabana, Sonia INSPIRE-00094166 ORCID:0000-0003-0568-5750 ROR:https://ror.org/04xe01d27 GRID:grid.412182.c Tarapaca U. Instituto de Alta Investigación, Universidad de Tarapacá, Arica, Chile Kaczmarska, Anna INSPIRE-00216330 ORCID:0000-0002-8880-4120 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Kadir, Sadaf Aliah ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Kado, Marumi INSPIRE-00216354 ORCID:0000-0002-1003-7638 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Kagan, Harris INSPIRE-00144825 ORCID:0000-0002-4693-7857 ROR:https://ror.org/00rs6vg23 GRID:grid.261331.4 Ohio State U. Ohio State University, Columbus, OH, USA Kagan, Michael INSPIRE-00008953 ORCID:0000-0002-3386-6869 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Kahn, Abraham ORCID:0000-0001-7131-3029 ROR:https://ror.org/00b30xv10 GRID:grid.25879.31 Pennsylvania U. Department of Physics, University of Pennsylvania, Philadelphia, PA, USA Kahra, Christian INSPIRE-00389621 ORCID:0000-0002-9003-5711 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Kaji, Toshiaki INSPIRE-00517162 ORCID:0000-0002-6532-7501 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Kajomovitz Must, Enrique INSPIRE-00216378 ORCID:0000-0002-8464-1790 ROR:https://ror.org/03qryx823 GRID:grid.6451.6 Technion Department of Physics, Technion, Israel Institute of Technology, Haifa, Israel Kakati, Nilotpal ORCID:0000-0003-2155-1859 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Kakoty, Niraj ORCID:0009-0009-1285-1447 ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Kalaitzidou, Ilia ORCID:0000-0002-4563-3253 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Kandel, Suman ORCID:0009-0005-6895-1886 ROR:https://ror.org/019kgqr73 GRID:grid.267315.4 Texas U., Arlington Department of Physics, University of Texas at Arlington, Arlington, TX, USA Kang, Nathan Jihoon INSPIRE-00691133 ORCID:0000-0001-5009-0399 ROR:https://ror.org/03s65by71 GRID:grid.205975.c UC, Santa Cruz Santa Cruz Institute for Particle Physics, University of California Santa Cruz, Santa Cruz, CA, USA Kar, Deepak INSPIRE-00022031 ORCID:0000-0002-4238-9822 ROR:https://ror.org/03rp50x72 GRID:grid.11951.3d Witwatersrand U. School of Physics, University of the Witwatersrand, Johannesburg, South Africa Karentzos, Efstathios INSPIRE-00409082 ORCID:0000-0002-1037-1206 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Karkout, Osama ORCID:0000-0002-4907-9499 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Karpov, Sergey INSPIRE-00236647 ORCID:0000-0002-2230-5353 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Karpova, Zoya INSPIRE-00236653 ORCID:0000-0003-0254-4629 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Kartvelishvili, Vato INSPIRE-00188948 ORCID:0000-0002-1957-3787 GRID:grid.9835.7 ROR:https://ror.org/01g3dya06 GRID:grid.472314.7 Lancaster U. Physics Department, Lancaster University, Lancaster, UK Karyukhin, Andrey INSPIRE-00216469 ORCID:0000-0001-9087-4315 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Kasimi, Eirini ORCID:0000-0002-7139-8197 ROR:https://ror.org/02j61yw88 GRID:grid.4793.9 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Katzy, Judith INSPIRE-00185240 ORCID:0000-0003-3121-395X ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Kaur, Sandeep ORCID:0000-0002-7602-1284 ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Kawade, Kentaro INSPIRE-00419409 ORCID:0000-0002-7874-6107 GRID:grid.263518.b ROR:https://ror.org/05b7rex33 GRID:grid.444226.2 Shinshu U. Department of Physics, Shinshu University, Nagano, Japan Kawale, Mayuri Prabhakar ORCID:0009-0008-7282-7396 ROR:https://ror.org/02aqsxs83 GRID:grid.266900.b Oklahoma U. Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, OK, USA Kawamoto, Chihiro ORCID:0000-0002-3057-8378 ROR:https://ror.org/02kpeqv85 GRID:grid.258799.8 Kyoto U. Faculty of Science, Kyoto University, Kyoto, Japan Kawamoto, Tatsuo INSPIRE-00216510 ORCID:0000-0002-5841-5511 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Kay, Ellis INSPIRE-00536644 ORCID:0000-0002-6304-3230 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Kaya, F.I. ORCID:0000-0002-9775-7303 GRID:grid.429997.8 ROR:https://ror.org/05wvpxv85 Tufts U. Department of Physics and Astronomy, Tufts University, Medford, MA, USA Kazakos, Stergios INSPIRE-01788396 ORCID:0000-0002-7252-3201 ROR:https://ror.org/05hs6h993 GRID:grid.17088.36 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA Kazanin, Vassili INSPIRE-00216540 ORCID:0000-0002-4906-5468 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Keaveney, James Michael ORCID:0000-0003-0766-5307 ROR:https://ror.org/03p74gp79 GRID:grid.7836.a Cape Town U. Department of Physics, University of Cape Town, Cape Town, South Africa Keeler, Richard INSPIRE-00095435 ORCID:0000-0002-0510-4189 ROR:https://ror.org/04s5mat29 GRID:grid.143640.4 Victoria U. Department of Physics and Astronomy, University of Victoria, Victoria, BC, Canada Kehris, Gustavs ORCID:0000-0002-1119-1004 ROR:https://ror.org/03vek6s52 GRID:grid.38142.3c Harvard U., Phys. Dept. Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA, USA Keller, John Stakely INSPIRE-00334458 ORCID:0000-0001-7140-9813 ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Kelly, Mitch ORCID:0009-0003-0519-0632 ROR:https://ror.org/04s5mat29 GRID:grid.143640.4 Victoria U. Department of Physics and Astronomy, University of Victoria, Victoria, BC, Canada Kempster, Jacob Julian INSPIRE-00371337 ORCID:0000-0003-4168-3373 ROR:https://ror.org/00ayhx656 GRID:grid.12082.39 Sussex U. Department of Physics and Astronomy, University of Sussex, Brighton, UK Kepka, Oldrich INSPIRE-00026678 ORCID:0000-0002-2555-497X GRID:grid.424881.3 ROR:https://ror.org/04jymbd90 GRID:grid.425110.3 Prague, Inst. Phys. Institute of Physics of the Czech Academy of Sciences, Prague, Czech Republic Kerr, Justin ORCID:0009-0001-1891-325X ROR:https://ror.org/05fq50484 GRID:grid.21100.32 York U., Canada Department of Physics and Astronomy, York University, Toronto, ON, Canada Kerridge, Benjamin Philip ORCID:0000-0003-4171-1768 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Rutherford Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Kersevan, Borut Paul INSPIRE-00216670 ORCID:0000-0002-4529-452X GRID:grid.8954.0 ROR:https://ror.org/05060sz93 GRID:grid.11375.31 Stefan Inst., Ljubljana Department of Experimental Particle Physics, Jožef Stefan Institute and Department of Physics, University of Ljubljana, Ljubljana, Slovenia Keszeghova, Lucia ORCID:0000-0001-6830-4244 ROR:https://ror.org/0587ef340 GRID:grid.7634.6 Comenius U. Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia Khan, Raees Ahmad ORCID:0009-0005-8074-6156 ROR:https://ror.org/01an3r305 GRID:grid.21925.3d Pittsburgh U. Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA, USA Khanov, Alexander INSPIRE-00053352 ORCID:0000-0001-9621-422X ROR:https://ror.org/01g9vbr38 GRID:grid.65519.3e Oklahoma State U. Department of Physics, Oklahoma State University, Stillwater, OK, USA Kharlamov, Alexey INSPIRE-00297758 ORCID:0000-0002-1051-3833 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Kharlamova, Tatyana INSPIRE-00524947 ORCID:0000-0002-0387-6804 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Khoda, Elham INSPIRE-00585194 ORCID:0000-0001-8720-6615 GRID:grid.34477.33 ROR:https://ror.org/03d17d270 GRID:grid.504155.0 Washington U., Seattle Department of Physics, University of Washington, Seattle, WA, USA Kholodenko, Marina ORCID:0000-0002-8340-9455 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 LIP, Lisbon Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Khoo, Teng Jian INSPIRE-00230858 ORCID:0000-0002-5954-3101 ROR:https://ror.org/01hcx6992 GRID:grid.7468.d Humboldt U., Berlin Institut für Physik, Humboldt Universität zu Berlin, Berlin, Germany Khoriauli, Gia INSPIRE-00029896 ORCID:0000-0002-6353-8452 ROR:https://ror.org/00fbnyb24 GRID:grid.8379.5 Wurzburg U. Fakultät für Physik und Astronomie, Julius-Maximilians-Universität Würzburg, Würzburg, Germany Khoulaki, Youssef ORCID:0000-0001-5190-5705 ROR:https://ror.org/001q4kn48 GRID:grid.412148.a Casablanca U. Faculté des Sciences Ain Chock, Université Hassan II de Casablanca, Casablanca, Morocco Khubua, J. ORCID:0000-0003-2350-1249 GRID:grid.26193.3f ROR:https://ror.org/05fd1hd85 Tbilisi State U. High Energy Physics Institute, Tbilisi State University, Tbilisi, Georgia Khwaira, Yahya A.R. ORCID:0000-0001-8538-1647 GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Kibirige, Beatty ROR:https://ror.org/03rp50x72 GRID:grid.11951.3d Witwatersrand U. School of Physics, University of the Witwatersrand, Johannesburg, South Africa Kim, Doyeong ORCID:0000-0002-0331-6559 ROR:https://ror.org/05gvnxz63 GRID:grid.187073.a Argonne High Energy Physics Division, Argonne National Laboratory, Argonne, IL, USA Kim, Dongwon INSPIRE-00379739 ORCID:0000-0002-9635-1491 ROR:https://ror.org/05f0yaq80 GRID:grid.10548.38 Stockholm U. Stockholm U., OKC Department of Physics, Stockholm University, Stockholm, Sweden Oskar Klein Centre, Stockholm, Sweden Kim, Young-Kee INSPIRE-00096350 ORCID:0000-0003-3286-1326 ROR:https://ror.org/024mw5h28 GRID:grid.170205.1 Chicago U., EFI Enrico Fermi Institute, University of Chicago, Chicago, IL, USA Kimura, Naoki INSPIRE-00008600 ORCID:0000-0002-8883-9374 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Kingston, Matthew Kevin ORCID:0009-0003-7785-7803 ROR:https://ror.org/01y9bpm73 GRID:grid.7450.6 Gottingen U., II. Phys. Inst. II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany Kirchhoff, Andreas ORCID:0000-0001-5611-9543 ROR:https://ror.org/01y9bpm73 GRID:grid.7450.6 Gottingen U., II. Phys. Inst. II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany Kirfel, Christian ORCID:0000-0003-1679-6907 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Kirfel, Florian ORCID:0000-0001-6242-8852 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Kirk, Julie Hart INSPIRE-00216784 ORCID:0000-0001-8096-7577 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Rutherford Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Kiryunin, Andrei INSPIRE-00216808 ORCID:0000-0001-7490-6890 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Kita, Sayuka ORCID:0000-0002-7246-0570 ROR:https://ror.org/02956yf07 GRID:grid.20515.33 Tsukuba U. Division of Physics and Tomonaga Center for the History of the Universe, Faculty of Pure and Applied Sciences, University of Tsukuba, Tsukuba, Japan Kivernyk, Oleh INSPIRE-00408270 ORCID:0000-0002-6854-2717 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Klassen, Martin ORCID:0000-0002-4326-9742 ROR:https://ror.org/05wvpxv85 GRID:grid.429997.8 Tufts U. Department of Physics and Astronomy, Tufts University, Medford, MA, USA Klein, Christoph Thomas ORCID:0000-0002-3780-1755 ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Klein, Lucas ORCID:0000-0002-0145-4747 ROR:https://ror.org/00fbnyb24 GRID:grid.8379.5 Wurzburg U. Fakultät für Physik und Astronomie, Julius-Maximilians-Universität Würzburg, Würzburg, Germany Klein, Matthew Henry INSPIRE-00380915 ORCID:0000-0002-9999-2534 ROR:https://ror.org/042tdr378 GRID:grid.263864.d Southern Methodist U. Physics Department, Southern Methodist University, Dallas, TX, USA Klein, Samuel Byrne ORCID:0000-0002-2999-6150 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Klein, Uta INSPIRE-00172660 ORCID:0000-0001-7391-5330 ROR:https://ror.org/04xs57h96 GRID:grid.10025.36 Liverpool U. Oliver Lodge Laboratory, University of Liverpool, Liverpool, UK Klimentov, Alexei INSPIRE-00216840 ORCID:0000-0003-2748-4829 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Klioutchnikova, Tatiana INSPIRE-00216863 ORCID:0000-0002-9580-0363 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Kluit, Peter INSPIRE-00096892 ORCID:0000-0001-6419-5829 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Kluth, Stefan INSPIRE-00096918 ORCID:0000-0001-8484-2261 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Kneringer, Emmerich INSPIRE-00096974 ORCID:0000-0002-6206-1912 ROR:https://ror.org/054pv6659 GRID:grid.5771.4 Innsbruck U. Department of Astro and Particle Physics, Universität Innsbruck, Innsbruck, Austria Knight, Timothy Michael ORCID:0000-0003-2486-7672 ROR:https://ror.org/03dbr7087 GRID:grid.17063.33 Toronto U. Department of Physics, University of Toronto, Toronto, ON, Canada Knue, Andrea Helen INSPIRE-00230947 ORCID:0000-0002-1559-9285 ROR:https://ror.org/01k97gp34 GRID:grid.5675.1 Dortmund U. Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany Kobel, Michael INSPIRE-00097070 ORCID:0000-0002-0124-2699 ROR:https://ror.org/042aqky30 GRID:grid.4488.0 Dresden, Tech. U. Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany Kobylianskii, Dmitrii ORCID:0009-0002-0070-5900 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Koch, Simon Florian ORCID:0000-0002-2676-2842 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Kocian, Martin INSPIRE-00041830 ORCID:0000-0003-4559-6058 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Kodys, Peter INSPIRE-00216912 ORCID:0000-0002-8644-2349 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Koeck, D.M. ORCID:0000-0002-9090-5502 GRID:grid.170202.6 ROR:https://ror.org/0293rh119 Oregon U. Institute for Fundamental Science, University of Oregon, Eugene, OR, USA Koffas, Thomas INSPIRE-00218105 ORCID:0000-0001-9612-4988 ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Kolay, Orcun ORCID:0000-0003-2526-4910 ROR:https://ror.org/042aqky30 GRID:grid.4488.0 Dresden, Tech. U. Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany Koletsou, Iro INSPIRE-00015902 ORCID:0000-0002-8560-8917 GRID:grid.433124.3 ROR:https://ror.org/049nhh297 GRID:grid.450330.1 Annecy, LAPP LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France Komarek, Tomas ORCID:0000-0002-3047-3146 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Koeneke, Karsten INSPIRE-00042236 ORCID:0000-0002-6901-9717 ROR:https://ror.org/01y9bpm73 GRID:grid.7450.6 Gottingen U., II. Phys. Inst. II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany Kong, Albert ORCID:0000-0001-8063-8765 ROR:https://ror.org/00892tw58 GRID:grid.1010.0 Adelaide U. Department of Physics, University of Adelaide, Adelaide, Australia Kono, Takanori INSPIRE-00218319 ORCID:0000-0003-1553-2950 ROR:https://ror.org/03599d813 GRID:grid.412314.1 Ochanomizu U. Ochanomizu University, Otsuka, Bunkyo-ku, Tokyo, Japan Konstantinidis, Nikolaos INSPIRE-00097667 ORCID:0000-0002-4140-6360 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Kontaxakis, Pantelis ORCID:0000-0002-4860-5979 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Konya, Balazs INSPIRE-00543670 ORCID:0000-0002-1859-6557 ROR:https://ror.org/012a77v79 GRID:grid.4514.4 Lund U. Fysiska institutionen, Lunds universitet, Lund, Sweden Kopeliansky, Revital INSPIRE-00337069 ORCID:0000-0002-8775-1194 ROR:https://ror.org/00hj8s172 GRID:grid.21729.3f Nevis Labs, Columbia U. Nevis Laboratory, Columbia University, Irvington, NY, USA Koperny, Stefan Zenon INSPIRE-00218320 ORCID:0000-0002-2023-5945 ROR:https://ror.org/00bas1c41 GRID:grid.9922.0 AGH-UST, Cracow AGH University of Krakow, Faculty of Physics and Applied Computer Science, Krakow, Poland Korchuganova, Tatiana ROR:https://ror.org/01an3r305 GRID:grid.21925.3d Pittsburgh U. Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA, USA Korcyl, Krzysztof Marian INSPIRE-00097773 ORCID:0000-0001-8085-4505 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Kordas, Kostas INSPIRE-00218332 ORCID:0000-0003-0486-2081 ROR:https://ror.org/02j61yw88 GRID:grid.4793.9 Aristotle U., Thessaloniki N/A Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Korn, Andreas INSPIRE-00052183 ORCID:0000-0002-3962-2099 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Korn, Steffen ORCID:0000-0001-9291-5408 ROR:https://ror.org/01y9bpm73 GRID:grid.7450.6 Gottingen U., II. Phys. Inst. II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany Korolkov, Ilya INSPIRE-00097847 ORCID:0000-0002-9211-9775 ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Korotkova, Natalia INSPIRE-00551928 ORCID:0000-0003-3640-8676 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Kortman, Bryan ORCID:0000-0001-7081-3275 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Kortner, Oliver INSPIRE-00218368 ORCID:0000-0003-0352-3096 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Kortner, Sandra INSPIRE-00215825 ORCID:0000-0001-8667-1814 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Kostecka, Will ORCID:0000-0003-1772-6898 ROR:https://ror.org/012wxa772 GRID:grid.261128.e Northern Illinois U. Department of Physics, Northern Illinois University, DeKalb, IL, USA Kostov, Matus ORCID:0009-0000-3402-3604 ROR:https://ror.org/0587ef340 GRID:grid.7634.6 Comenius U. Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia Kostyukhin, Vadim INSPIRE-00218374 ORCID:0000-0002-0490-9209 ROR:https://ror.org/02azyry73 GRID:grid.5836.8 Siegen U. Department Physik, Universität Siegen, Siegen, Germany Kotsokechagia, Anastasia ORCID:0000-0002-8057-9467 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Kotwal, Ashutosh INSPIRE-00097984 ORCID:0000-0003-3384-5053 ROR:https://ror.org/00py81415 GRID:grid.26009.3d Duke U. Department of Physics, Duke University, Durham, NC, USA Koulouris, Aimilianos INSPIRE-00524960 ORCID:0000-0003-1012-4675 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Kourkoumeli-Charalampidi, Athina INSPIRE-00365526 ORCID:0000-0002-6614-108X GRID:grid.470213.3 ROR:https://ror.org/00s6t1f81 GRID:grid.8982.b INFN, Pavia Pavia U. INFN Sezione di Pavia, Pavia, Italy Dipartimento di Fisica, Università di Pavia, Pavia, Italy Kourkoumelis, Christine INSPIRE-00218386 ORCID:0000-0003-0083-274X ROR:https://ror.org/04gnjpq42 GRID:grid.5216.0 Athens U. Physics Department, National and Kapodistrian University of Athens, Athens, Greece Kourlitis, E. ORCID:0000-0001-6568-2047 GRID:grid.435824.c ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Kovanda, Ondrej ORCID:0000-0003-0294-3953 ROR:https://ror.org/0293rh119 GRID:grid.170202.6 Oregon U. Institute for Fundamental Science, University of Oregon, Eugene, OR, USA Kowalewski, R. ORCID:0000-0002-7314-0990 GRID:grid.143640.4 ROR:https://ror.org/04s5mat29 Victoria U. Department of Physics and Astronomy, University of Victoria, Victoria, BC, Canada Kozanecki, Witold INSPIRE-00098207 ORCID:0000-0001-6226-8385 ROR:https://ror.org/0293rh119 GRID:grid.170202.6 Oregon U. Institute for Fundamental Science, University of Oregon, Eugene, OR, USA Kozhin, Anatoli INSPIRE-00218400 ORCID:0000-0003-4724-9017 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Kramarenko, Viktor INSPIRE-00218423 ORCID:0000-0002-8625-5586 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Kramberger, Gregor INSPIRE-00098259 ORCID:0000-0002-7580-384X GRID:grid.8954.0 ROR:https://ror.org/05060sz93 GRID:grid.11375.31 Stefan Inst., Ljubljana Department of Experimental Particle Physics, Jožef Stefan Institute and Department of Physics, University of Ljubljana, Ljubljana, Slovenia Kramer, Peter ORCID:0000-0002-0296-5899 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Krasny, Mieczyslaw Witold INSPIRE-00218435 ORCID:0000-0002-7440-0520 GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Krasznahorkay, Attila INSPIRE-00218447 ORCID:0000-0002-6468-1381 ROR:https://ror.org/0072zz521 GRID:grid.266683.f Massachusetts U., Amherst Department of Physics, University of Massachusetts, Amherst, MA, USA Kraus, Johanna Wanda ORCID:0000-0003-3492-2831 ROR:https://ror.org/00613ak93 GRID:grid.7787.f Wuppertal U. Fakultät für Mathematik und Naturwissenschaften, Fachgruppe Physik, Bergische Universität Wuppertal, Wuppertal, Germany Kremer, Jakub INSPIRE-00524978 ORCID:0000-0003-4487-6365 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Krengel, Nils Benedikt ORCID:0009-0002-9608-9718 ROR:https://ror.org/02azyry73 GRID:grid.5836.8 Siegen U. Department Physik, Universität Siegen, Siegen, Germany Kresse, Tom ORCID:0000-0003-0546-1634 ROR:https://ror.org/042aqky30 GRID:grid.4488.0 Dresden, Tech. U. Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany Kretschmann, Lukas ORCID:0000-0002-7404-8483 ROR:https://ror.org/00613ak93 GRID:grid.7787.f Wuppertal U. Fakultät für Mathematik und Naturwissenschaften, Fachgruppe Physik, Bergische Universität Wuppertal, Wuppertal, Germany Kretzschmar, Jan INSPIRE-00185292 ORCID:0000-0002-8515-1355 ROR:https://ror.org/04xs57h96 GRID:grid.10025.36 Liverpool U. Oliver Lodge Laboratory, University of Liverpool, Liverpool, UK Krieger, Peter INSPIRE-00195228 ORCID:0000-0001-9958-949X ROR:https://ror.org/03dbr7087 GRID:grid.17063.33 Toronto U. Department of Physics, University of Toronto, Toronto, ON, Canada Krizka, Karol INSPIRE-00384270 ORCID:0000-0001-6408-2648 ROR:https://ror.org/03angcq70 GRID:grid.6572.6 Birmingham U. School of Physics and Astronomy, University of Birmingham, Birmingham, UK Kroeninger, Kevin Alexander INSPIRE-00218479 ORCID:0000-0001-9873-0228 ROR:https://ror.org/01k97gp34 GRID:grid.5675.1 Dortmund U. Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany Kroha, Hubert INSPIRE-00218480 ORCID:0000-0003-1808-0259 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Kroll, Jiri INSPIRE-00524985 ORCID:0000-0001-6215-3326 GRID:grid.424881.3 ROR:https://ror.org/04jymbd90 GRID:grid.425110.3 Prague, Inst. Phys. Institute of Physics of the Czech Academy of Sciences, Prague, Czech Republic Kroll, Ira Joseph INSPIRE-00098670 ORCID:0000-0002-0964-6815 ROR:https://ror.org/00b30xv10 GRID:grid.25879.31 Pennsylvania U. Department of Physics, University of Pennsylvania, Philadelphia, PA, USA Krowpman, Kyle Stuart ORCID:0000-0001-9395-3430 ROR:https://ror.org/05hs6h993 GRID:grid.17088.36 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA Kruchonak, Uladzimir INSPIRE-00218504 ORCID:0000-0003-2116-4592 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Krueger, Hans INSPIRE-00218516 ORCID:0000-0001-8287-3961 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Krumnack, Nils Erik INSPIRE-00055045 ROR:https://ror.org/04rswrd78 GRID:grid.34421.30 Iowa State U. Department of Physics and Astronomy, Iowa State University, Ames, IA, USA Kruse, Mark INSPIRE-00098798 ORCID:0000-0001-5791-0345 ROR:https://ror.org/00py81415 GRID:grid.26009.3d Duke U. Department of Physics, Duke University, Durham, NC, USA Kuchinskaia, Olesia ORCID:0000-0002-3664-2465 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Kuday, Sinan INSPIRE-00236766 ORCID:0000-0002-0116-5494 ROR:https://ror.org/01wntqw50 GRID:grid.7256.6 Ankara U. Department of Physics, Ankara University, Ankara, Türkiye Kuehn, Susanne INSPIRE-00218553 ORCID:0000-0001-5270-0920 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Kusters, Roman ORCID:0000-0002-8309-019X ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Kuhl, Thorsten INSPIRE-00051546 ORCID:0000-0002-1473-350X ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Kukhtin, Victor INSPIRE-00218599 ORCID:0000-0003-4387-8756 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Kulchitsky, Y. ORCID:0000-0002-3036-5575 GRID:grid.9132.9 Unlisted Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Kuleshov, Serguei INSPIRE-00320322 ORCID:0000-0002-3065-326X ROR:https://ror.org/01qq57711 GRID:grid.412848.3 ROR:https://ror.org/03kn4xv14 GRID:grid.424823.b Andres Bello Natl. U. SAPHIR Millennium Inst. Millennium Institute for Subatomic physics at high energy frontier (SAPHIR), Santiago, Chile Department of Physics, Universidad Andres Bello, Santiago, Chile Kull, Judith ORCID:0000-0002-8517-7977 ROR:https://ror.org/00892tw58 GRID:grid.1010.0 Adelaide U. Department of Physics, University of Adelaide, Adelaide, Australia Kumar, Eshita Vinay ORCID:0009-0008-9488-1326 ROR:https://ror.org/05591te55 GRID:grid.5252.0 Munich U. Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany Kumar, Mukesh ORCID:0000-0003-3681-1588 ROR:https://ror.org/03rp50x72 GRID:grid.11951.3d Witwatersrand U. School of Physics, University of the Witwatersrand, Johannesburg, South Africa Kumari, Neelam ORCID:0000-0001-9174-6200 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Kumari, Priyanka ORCID:0000-0002-6623-8586 ROR:https://ror.org/05fq50484 GRID:grid.21100.32 York U., Canada Department of Physics and Astronomy, York University, Toronto, ON, Canada Kupco, Alexander INSPIRE-00099163 ORCID:0000-0003-3692-1410 GRID:grid.424881.3 ROR:https://ror.org/04jymbd90 GRID:grid.425110.3 Prague, Inst. Phys. Institute of Physics of the Czech Academy of Sciences, Prague, Czech Republic Kupfer, Tobias INSPIRE-00548847 ROR:https://ror.org/01k97gp34 GRID:grid.5675.1 Dortmund U. Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany Kupich, Andrey ORCID:0000-0002-6042-8776 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Kuprash, Oleg INSPIRE-00173407 ORCID:0000-0002-7540-0012 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Kurashige, Hisaya INSPIRE-00099197 ORCID:0000-0003-3932-016X ROR:https://ror.org/03tgsfw79 GRID:grid.31432.37 Kobe U. Graduate School of Science, Kobe University, Kobe, Japan Kurchaninov, Leonid INSPIRE-00524990 ORCID:0000-0001-9392-3936 ROR:https://ror.org/03kgj4539 GRID:grid.232474.4 TRIUMF TRIUMF, Vancouver, BC, Canada Kurdysh, Oleksii ORCID:0000-0002-1837-6984 GRID:grid.433124.3 ROR:https://ror.org/049nhh297 GRID:grid.450330.1 Annecy, LAPP LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France Kurochkin, Yurii INSPIRE-00218636 ORCID:0000-0002-1281-8462 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Kurova, Anastasia INSPIRE-00578170 ORCID:0000-0001-7924-1517 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Kuwertz, Emma Sian INSPIRE-00286685 ORCID:0000-0002-1921-6173 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN Tier0 CERN Tier-0, Geneva, Switzerland Kuze, Masahiro INSPIRE-00099360 ORCID:0000-0001-8858-8440 ROR:https://ror.org/0112mx960 GRID:grid.32197.3e Tokyo Inst. Tech. Department of Physics, Institute of Science, Tokyo, Japan Kvam, Audrey Katherine INSPIRE-00654690 ORCID:0000-0001-7243-0227 ROR:https://ror.org/0072zz521 GRID:grid.266683.f Massachusetts U., Amherst Department of Physics, University of Massachusetts, Amherst, MA, USA Kvita, Jiri INSPIRE-00038915 ORCID:0000-0001-5973-8729 ROR:https://ror.org/04qxnmv42 GRID:grid.10979.36 Palacky U. Palacký University, Joint Laboratory of Optics, Olomouc, Czech Republic Kyriacou, Nicholas ORCID:0000-0002-8523-5954 ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Lacasta Llacer, Carlos INSPIRE-00099524 ORCID:0000-0002-2623-6252 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Lacava, Francesco INSPIRE-00218690 ORCID:0000-0003-4588-8325 GRID:grid.470218.8 ROR:https://ror.org/02be6w209 GRID:grid.7841.a INFN, Rome Rome U. INFN Sezione di Roma, Rome, Italy Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy Lacker, Heiko Markus INSPIRE-00042702 ORCID:0000-0002-7183-8607 ROR:https://ror.org/01hcx6992 GRID:grid.7468.d Humboldt U., Berlin Institut für Physik, Humboldt Universität zu Berlin, Berlin, Germany Lacour, Didier INSPIRE-00099578 ORCID:0000-0002-1590-194X GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Lad, Nisha Nareshbhai ORCID:0000-0002-3707-9010 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Ladygin, Evgueni INSPIRE-00099592 ORCID:0000-0001-6206-8148 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Lafarge, Arthur ORCID:0009-0001-9169-2270 GRID:grid.433124.3 ROR:https://ror.org/0214k6v65 GRID:grid.470921.9 Clermont-Ferrand U. LPC, Université Clermont Auvergne, CNRS/IN2P3, Clermont-Ferrand, France Laforge, Bertrand INSPIRE-00057788 ORCID:0000-0002-4209-4194 GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Lagouri, Theodota INSPIRE-00218740 ORCID:0000-0001-7509-7765 ROR:https://ror.org/03v76x132 GRID:grid.47100.32 Yale U. Department of Physics, Yale University, New Haven, CT, USA Lahbabi, Fatima Zahra ORCID:0000-0002-3879-696X ROR:https://ror.org/001q4kn48 GRID:grid.412148.a Casablanca U. Faculté des Sciences Ain Chock, Université Hassan II de Casablanca, Casablanca, Morocco Lai, Stan INSPIRE-00218758 ORCID:0000-0002-9898-9253 ROR:https://ror.org/01y9bpm73 GRID:grid.7450.6 Gottingen U., II. Phys. Inst. II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany Lai, Wei Sheng ORCID:0009-0001-6726-9851 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Lambert, Joseph Earl ORCID:0000-0002-5606-4164 ROR:https://ror.org/04s5mat29 GRID:grid.143640.4 Victoria U. Department of Physics and Astronomy, University of Victoria, Victoria, BC, Canada Lammers, Sabine Wedam INSPIRE-00051670 ORCID:0000-0003-2958-986X GRID:grid.411377.7 ROR:https://ror.org/01kg8sb98 GRID:grid.257410.5 Indiana U. Department of Physics, Indiana University, Bloomington, IN, USA Lampl, Walter INSPIRE-00218776 ORCID:0000-0002-2337-0958 ROR:https://ror.org/03m2x1q45 GRID:grid.134563.6 Arizona U. Department of Physics, University of Arizona, Tucson, AZ, USA Lampoudis, Christos ORCID:0000-0001-9782-9920 ROR:https://ror.org/02j61yw88 GRID:grid.4793.9 Aristotle U., Thessaloniki N/A Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Lamprinoudis, Georgios ORCID:0009-0009-9101-4718 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Lancaster, Alec ORCID:0000-0001-6212-5261 ROR:https://ror.org/012wxa772 GRID:grid.261128.e Northern Illinois U. Department of Physics, Northern Illinois University, DeKalb, IL, USA Lancon, Eric INSPIRE-00218788 ORCID:0000-0002-0225-187X ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Landgraf, Ulrich INSPIRE-00218790 ORCID:0000-0002-8222-2066 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Landon, Murrough INSPIRE-00099860 ORCID:0000-0001-6828-9769 ROR:https://ror.org/026zzn846 GRID:grid.4868.2 Queen Mary, U. of London Department of Physics and Astronomy, Queen Mary University of London, London, UK Lang, Valerie INSPIRE-00286700 ORCID:0000-0001-9954-7898 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Langrekken, Oda Kristin Berg ORCID:0000-0001-8099-9042 ROR:https://ror.org/01xtthb56 GRID:grid.5510.1 Oslo U. Department of Physics, University of Oslo, Oslo, Norway Lankford, Andrew James INSPIRE-00100028 ORCID:0000-0001-8057-4351 ROR:https://ror.org/04gyf1771 GRID:grid.266093.8 UC, Irvine Department of Physics and Astronomy, University of California Irvine, Irvine, CA, USA Lanni, Francesco INSPIRE-00100030 ORCID:0000-0002-7197-9645 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Lantzsch, Kerstin INSPIRE-00218824 ORCID:0000-0002-0729-6487 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Lanza, Agostino INSPIRE-00218836 ORCID:0000-0003-4980-6032 GRID:grid.470213.3 ROR:https://ror.org/01st30669 INFN, Pavia INFN Sezione di Pavia, Pavia, Italy Lanzac Berrocal, Marta ORCID:0009-0004-5966-6699 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Laporte, Jean-Francois INSPIRE-00218850 ORCID:0000-0002-4815-5314 ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Lari, Tommaso INSPIRE-00240476 ORCID:0000-0002-1388-869X GRID:grid.470206.7 ROR:https://ror.org/04w4m6z96 INFN, Milan INFN Sezione di Milano, Milan, Italy Larsen, Dag ORCID:0000-0002-9898-2174 ROR:https://ror.org/03zga2b32 GRID:grid.7914.b Bergen U. Department for Physics and Technology, University of Bergen, Bergen, Norway Larson, Lauren ORCID:0000-0002-7391-3869 ROR:https://ror.org/00hj54h04 GRID:grid.89336.37 Texas U. Department of Physics, University of Texas at Austin, Austin, TX, USA Lasagni Manghi, Federico INSPIRE-00378808 ORCID:0000-0001-6068-4473 GRID:grid.470193.8 ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Sezione di Bologna, Bologna, Italy Lassnig, Mario INSPIRE-00218873 ORCID:0000-0002-9541-0592 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Latif, Imran ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Lawlor, Sean Dean ORCID:0000-0003-3211-067X ROR:https://ror.org/05krs5044 GRID:grid.11835.3e Sheffield U. Department of Physics and Astronomy, University of Sheffield, Sheffield, UK Lazaridou, Roxani ROR:https://ror.org/04gyf1771 GRID:grid.266093.8 UC, Irvine Department of Physics and Astronomy, University of California Irvine, Irvine, CA, USA Lazzaroni, Massimo INSPIRE-00445566 ORCID:0000-0002-4094-1273 ROR:https://ror.org/04w4m6z96 GRID:grid.470206.7 GRID:grid.4708.b INFN, Milan Milan U. INFN Sezione di Milano, Milan, Italy Dipartimento di Fisica, Università di Milano, Milan, Italy Le, H.D.M. ORCID:0000-0002-5421-1589 ROR:https://ror.org/05hs6h993 GRID:grid.17088.36 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA Le Boulicaut Ennis, Elise Maria ORCID:0000-0002-8909-2508 ROR:https://ror.org/03v76x132 GRID:grid.47100.32 Yale U. Department of Physics, Yale University, New Haven, CT, USA Le Pottier, Luc Tomas ORCID:0000-0002-2625-5648 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Leban, Blaz ORCID:0000-0003-1501-7262 ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Ledroit-Guillon, F. INSPIRE-00200437 ORCID:0000-0001-9398-1909 GRID:grid.5676.2 ROR:https://ror.org/03f0apy98 GRID:grid.472561.3 LPSC, Grenoble LPSC, Université Grenoble Alpes, CNRS/IN2P3, Grenoble INP, Grenoble, France Lee, Ting Fung ORCID:0000-0001-7232-6315 ROR:https://ror.org/05fq50484 GRID:grid.21100.32 York U., Canada Department of Physics and Astronomy, York University, Toronto, ON, Canada Leeuw, Lerothodi Leonard ORCID:0000-0002-3365-6781 ROR:https://ror.org/04z6c2n17 GRID:grid.412988.e Johannesburg U. Department of Mechanical Engineering Science, University of Johannesburg, Johannesburg, South Africa Lefebvre, Michel INSPIRE-00198481 ORCID:0000-0002-5560-0586 ROR:https://ror.org/04s5mat29 GRID:grid.143640.4 Victoria U. Department of Physics and Astronomy, University of Victoria, Victoria, BC, Canada Leggett, Charles INSPIRE-00100895 ORCID:0000-0002-9299-9020 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Lehmann Miotto, Giovanna INSPIRE-00100928 ORCID:0000-0001-9045-7853 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Leigh, Matthew ORCID:0000-0003-1406-1413 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Leight, William Axel INSPIRE-00182253 ORCID:0000-0002-2968-7841 ROR:https://ror.org/0072zz521 GRID:grid.266683.f Massachusetts U., Amherst Department of Physics, University of Massachusetts, Amherst, MA, USA Leinonen, Waltteri ORCID:0000-0002-1747-2544 GRID:grid.420012.5 ROR:https://ror.org/016xsfp80 GRID:grid.5590.9 Nijmegen U. Institute for Mathematics, Astrophysics and Particle Physics, Radboud University/Nikhef, Nijmegen, The Netherlands Leisos, Anthony INSPIRE-00236807 ORCID:0000-0002-8126-3958 ROR:https://ror.org/02j61yw88 GRID:grid.4793.9 ROR:https://ror.org/02kq26x23 GRID:grid.55939.33 Aristotle U., Thessaloniki Hellenic Open U., Patras Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Hellenic Open University, Patras, Greece Lisboa Leite, Marco INSPIRE-00242334 ORCID:0000-0003-0392-3663 ROR:https://ror.org/036rp1748 GRID:grid.11899.38 Sao Paulo U. Instituto de Física, Universidade de São Paulo, São Paulo, Brazil Leitgeb, Clara Elisabeth ORCID:0000-0002-0335-503X ROR:https://ror.org/01hcx6992 GRID:grid.7468.d Humboldt U., Berlin Institut für Physik, Humboldt Universität zu Berlin, Berlin, Germany Leitner, Rupert INSPIRE-00301106 ORCID:0000-0002-2994-2187 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Leney, Katharine INSPIRE-00192210 ORCID:0000-0002-1525-2695 ROR:https://ror.org/042tdr378 GRID:grid.263864.d Southern Methodist U. Physics Department, Southern Methodist University, Dallas, TX, USA Lenz, Tatjana INSPIRE-00219020 ORCID:0000-0002-9560-1778 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Leone, Sandra INSPIRE-00101163 ORCID:0000-0001-6222-9642 GRID:grid.470216.6 ROR:https://ror.org/05symbg58 INFN, Pisa INFN Sezione di Pisa, Pisa, Italy Leonidopoulos, Christos INSPIRE-00101179 ORCID:0000-0002-7241-2114 ROR:https://ror.org/01nrxwf90 GRID:grid.4305.2 Edinburgh U. SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK Leopold, Alexander INSPIRE-00647841 ORCID:0000-0001-9415-7903 ROR:https://ror.org/026vcq606 GRID:grid.5037.1 Royal Inst. Tech., Stockholm Department of Physics, Royal Institute of Technology, Stockholm, Sweden Lepage Bourbonnais, Jeremie Harmond ORCID:0009-0009-9707-7285 ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Les, Robert INSPIRE-00565690 ORCID:0000-0002-8875-1399 ROR:https://ror.org/05hs6h993 GRID:grid.17088.36 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA Lester, Christopher INSPIRE-00101328 ORCID:0000-0001-5770-4883 ROR:https://ror.org/013meh722 GRID:grid.5335.0 Cambridge U. Cavendish Laboratory, University of Cambridge, Cambridge, UK Levchenko, Mikhail INSPIRE-00358155 ORCID:0000-0002-5495-0656 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Leveque, Jessica INSPIRE-00038900 ORCID:0000-0002-0244-4743 GRID:grid.433124.3 ROR:https://ror.org/049nhh297 GRID:grid.450330.1 Annecy, LAPP LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France Levinson, Lorne INSPIRE-00101477 ORCID:0000-0003-4679-0485 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Levrini, Giacomo ORCID:0009-0000-5431-0029 ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Lewicki, Maciej Piotr ORCID:0000-0002-8972-3066 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Lewis, Charles ORCID:0000-0002-7581-846X GRID:grid.34477.33 ROR:https://ror.org/03d17d270 GRID:grid.504155.0 Washington U., Seattle Department of Physics, University of Washington, Seattle, WA, USA Lewis, Daniel INSPIRE-00655620 ORCID:0000-0002-7814-8596 GRID:grid.433124.3 ROR:https://ror.org/049nhh297 GRID:grid.450330.1 Annecy, LAPP LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France Lewitt, Lucy ORCID:0009-0002-5604-8823 ROR:https://ror.org/05krs5044 GRID:grid.11835.3e Sheffield U. Department of Physics and Astronomy, University of Sheffield, Sheffield, UK Li, Ang ORCID:0000-0003-4317-3342 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Li, Bing INSPIRE-00329518 ORCID:0000-0002-1974-2229 ROR:https://ror.org/0207yh398 GRID:grid.27255.37 Shandong U. Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao, China Li, Chihao ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Li, Changqiao INSPIRE-00512869 ORCID:0000-0003-3495-7778 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Li, Han ORCID:0000-0002-4732-5633 ROR:https://ror.org/0207yh398 GRID:grid.27255.37 Shandong U. Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao, China Li, Huanguo ORCID:0000-0002-2459-9068 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Li, Hui ORCID:0009-0003-1487-5940 ROR:https://ror.org/03cve4549 GRID:grid.12527.33 Tsinghua U., Beijing Physics Department, Tsinghua University, Beijing, China Li, Han ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Li, Haifeng INSPIRE-00219079 ORCID:0000-0001-9346-6982 ROR:https://ror.org/0207yh398 GRID:grid.27255.37 Shandong U. Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao, China Li, Jialin ORCID:0009-0000-5782-8050 ROR:https://ror.org/0220qvk04 GRID:grid.16821.3c Shanghai Jiao Tong U. State Key Laboratory of Dark Matter Physics, School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MOE), SKLPPC, Shanghai, China Li, Ke INSPIRE-00447015 ORCID:0000-0002-2545-0329 GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Li, Liang INSPIRE-00300470 ORCID:0000-0001-6411-6107 ROR:https://ror.org/0220qvk04 GRID:grid.16821.3c Shanghai Jiao Tong U. State Key Laboratory of Dark Matter Physics, School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MOE), SKLPPC, Shanghai, China Li, Runze ORCID:0009-0005-2987-1621 ROR:https://ror.org/03v76x132 GRID:grid.47100.32 Yale U. Department of Physics, Yale University, New Haven, CT, USA Li, Shuqi ORCID:0000-0003-1673-2794 GRID:grid.9227.e GRID:grid.410726.6 ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. UCAS, Beijing Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China University of Chinese Academy of Science (UCAS), Beijing, China Li, Shu INSPIRE-00231230 ORCID:0000-0001-7879-3272 ROR:https://ror.org/01qp9b498 GRID:grid.482813.4 ROR:https://ror.org/0220qvk04 GRID:grid.16821.3c Tsung-Dao Lee Inst., Shanghai Shanghai Jiao Tong U. State Key Laboratory of Dark Matter Physics, School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MOE), SKLPPC, Shanghai, China State Key Laboratory of Dark Matter Physics, Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China Li, Tong ORCID:0000-0001-7775-4300 GRID:grid.433124.3 ROR:https://ror.org/05f82e368 GRID:grid.508487.6 APC, Paris APC, Université Paris Cité, CNRS/IN2P3, Paris, France Li, Xingguo INSPIRE-00388243 ORCID:0000-0001-6975-102X ROR:https://ror.org/01pxwe438 GRID:grid.14709.3b McGill U. Department of Physics, McGill University, Montreal, QC, Canada Li, Zhelun ORCID:0000-0001-7096-2158 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Li, Zhan ORCID:0000-0003-1561-3435 GRID:grid.9227.e GRID:grid.410726.6 ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. UCAS, Beijing Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China University of Chinese Academy of Science (UCAS), Beijing, China Li, Zhijie ORCID:0000-0003-1630-0668 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Liang, Shiyi ORCID:0009-0006-1840-2106 GRID:grid.9227.e GRID:grid.410726.6 ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. UCAS, Beijing Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China University of Chinese Academy of Science (UCAS), Beijing, China Liang, Zhijun INSPIRE-00219122 ORCID:0000-0003-0629-2131 GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Liberatore, Marianna ORCID:0000-0002-8444-8827 ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Liberti, Barbara INSPIRE-00219134 ORCID:0000-0002-6011-2851 GRID:grid.470219.9 ROR:https://ror.org/02p77k626 Rome U., Tor Vergata INFN Sezione di Roma Tor Vergata, Rome, Italy Lie, Ki INSPIRE-00219158 ORCID:0000-0002-5779-5989 ROR:https://ror.org/00q4vv597 GRID:grid.24515.37 Hong Kong U. Sci. Tech. Department of Physics and Institute for Advanced Study, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China Lieber Marin, Juan ORCID:0000-0003-0642-9169 GRID:grid.8399.b ROR:https://ror.org/03k3p7647 Bahia U. Federal University of Bahia, Bahia, Brazil Lien, Hsuan-Chu ORCID:0000-0001-8884-2664 GRID:grid.411377.7 ROR:https://ror.org/01kg8sb98 GRID:grid.257410.5 Indiana U. Department of Physics, Indiana University, Bloomington, IN, USA Lin, Hui-Chi ORCID:0000-0001-5688-3330 ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Lin, Storm ORCID:0009-0003-2529-0817 ROR:https://ror.org/05qghxh33 GRID:grid.36425.36 SUNY, Stony Brook Departments of Physics and Astronomy, Stony Brook University, Stony Brook, NY, USA Linden, Lars ORCID:0000-0003-2180-6524 ROR:https://ror.org/05591te55 GRID:grid.5252.0 Munich U. Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany Lindley, Rachel Elizabeth ORCID:0000-0002-2342-1452 ROR:https://ror.org/03m2x1q45 GRID:grid.134563.6 Arizona U. Department of Physics, University of Arizona, Tucson, AZ, USA Lindon, Jack INSPIRE-00643674 ORCID:0000-0001-9490-7276 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Ling, Jerry ORCID:0000-0002-3359-0380 ROR:https://ror.org/03vek6s52 GRID:grid.38142.3c Harvard U., Phys. Dept. Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA, USA Lipeles, Elliot INSPIRE-00102076 ORCID:0000-0001-5982-7326 ROR:https://ror.org/00b30xv10 GRID:grid.25879.31 Pennsylvania U. Department of Physics, University of Pennsylvania, Philadelphia, PA, USA Lipniacka, Anna INSPIRE-00219225 ORCID:0000-0002-8759-8564 ROR:https://ror.org/03zga2b32 GRID:grid.7914.b Bergen U. Department for Physics and Technology, University of Bergen, Bergen, Norway Lister, Alison INSPIRE-00149260 ORCID:0000-0002-1552-3651 ROR:https://ror.org/03rmrcq20 GRID:grid.17091.3e British Columbia U. Department of Physics, University of British Columbia, Vancouver, BC, Canada Little, Jared INSPIRE-00567137 ORCID:0000-0002-9372-0730 GRID:grid.411377.7 ROR:https://ror.org/01kg8sb98 GRID:grid.257410.5 Indiana U. Department of Physics, Indiana University, Bloomington, IN, USA Liu, Bo INSPIRE-00354242 ORCID:0000-0003-2823-9307 GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Liu, Bingxuan INSPIRE-00354011 ORCID:0000-0002-0721-8331 GRID:grid.12981.33 ROR:https://ror.org/0064kty71 SYSU, Guangzhou School of Science, Shenzhen Campus of Sun Yat-sen University, Guangzhou, China Liu, Danning ORCID:0000-0002-0065-5221 ROR:https://ror.org/01qp9b498 GRID:grid.482813.4 ROR:https://ror.org/0220qvk04 GRID:grid.16821.3c Tsung-Dao Lee Inst., Shanghai Shanghai Jiao Tong U. State Key Laboratory of Dark Matter Physics, School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MOE), SKLPPC, Shanghai, China State Key Laboratory of Dark Matter Physics, Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China Liu, Dongyi ORCID:0009-0002-3251-8296 ROR:https://ror.org/03s65by71 GRID:grid.205975.c UC, Santa Cruz Santa Cruz Institute for Particle Physics, University of California Santa Cruz, Santa Cruz, CA, USA Liu, Eric Hsien Lung ORCID:0009-0005-1438-8258 ROR:https://ror.org/03angcq70 GRID:grid.6572.6 Birmingham U. School of Physics and Astronomy, University of Birmingham, Birmingham, UK Liu, J.K.K. INSPIRE-00547644 ORCID:0000-0001-5359-4541 ROR:https://ror.org/0190ak572 GRID:grid.137628.9 New York U. Department of Physics, New York University, New York, NY, USA Liu, Kang ORCID:0000-0002-2639-0698 GRID:grid.16821.3c ROR:https://ror.org/01qp9b498 GRID:grid.482813.4 Tsung-Dao Lee Inst., Shanghai State Key Laboratory of Dark Matter Physics, Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China Liu, Kun INSPIRE-00337073 ORCID:0000-0001-5807-0501 ROR:https://ror.org/01qp9b498 GRID:grid.482813.4 ROR:https://ror.org/0220qvk04 GRID:grid.16821.3c Tsung-Dao Lee Inst., Shanghai Shanghai Jiao Tong U. State Key Laboratory of Dark Matter Physics, School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MOE), SKLPPC, Shanghai, China State Key Laboratory of Dark Matter Physics, Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China Liu, Minghui INSPIRE-00219274 ORCID:0000-0003-0056-7296 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Liu, Mingyi ORCID:0000-0002-0236-5404 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Liu, Peilian INSPIRE-00455463 ORCID:0000-0002-9815-8898 GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Liu, Qibin ORCID:0000-0001-5248-4391 GRID:grid.34477.33 ROR:https://ror.org/01qp9b498 GRID:grid.482813.4 ROR:https://ror.org/03d17d270 GRID:grid.504155.0 ROR:https://ror.org/0220qvk04 GRID:grid.16821.3c Tsung-Dao Lee Inst., Shanghai Washington U., Seattle Shanghai Jiao Tong U. Department of Physics, University of Washington, Seattle, WA, USA State Key Laboratory of Dark Matter Physics, School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MOE), SKLPPC, Shanghai, China State Key Laboratory of Dark Matter Physics, Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China Liu, Xiaotian ORCID:0000-0003-1366-5530 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Liu, Xinyan ORCID:0000-0003-1890-2275 ROR:https://ror.org/0207yh398 GRID:grid.27255.37 Shandong U. Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao, China Liu, Yang INSPIRE-00585827 ORCID:0000-0003-3615-2332 GRID:grid.12981.33 GRID:grid.410726.6 ROR:https://ror.org/0064kty71 ROR:https://ror.org/05qbk4x57 SYSU, Guangzhou UCAS, Beijing School of Science, Shenzhen Campus of Sun Yat-sen University, Guangzhou, China University of Chinese Academy of Science (UCAS), Beijing, China Liu, Yanlin INSPIRE-00436733 ORCID:0000-0001-9190-4547 ROR:https://ror.org/0207yh398 GRID:grid.27255.37 Shandong U. Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao, China Liu, Yanwen INSPIRE-00034400 ORCID:0000-0003-4448-4679 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Liu, Zirui ORCID:0000-0002-0349-4005 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a IJCLab, Orsay Hefei, CUST IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Lloyd, Steve INSPIRE-00102350 ORCID:0000-0002-5073-2264 ROR:https://ror.org/026zzn846 GRID:grid.4868.2 Queen Mary, U. of London Department of Physics and Astronomy, Queen Mary University of London, London, UK Lobodzinska, Ewelina Maria INSPIRE-00172692 ORCID:0000-0001-9012-3431 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Loch, Peter INSPIRE-00102360 ORCID:0000-0002-2005-671X ROR:https://ror.org/03m2x1q45 GRID:grid.134563.6 Arizona U. Department of Physics, University of Arizona, Tucson, AZ, USA Lodhi, Eesha ORCID:0000-0002-6506-6962 ROR:https://ror.org/03dbr7087 GRID:grid.17063.33 Toronto U. Department of Physics, University of Toronto, Toronto, ON, Canada Lohwasser, Kristin INSPIRE-00219328 ORCID:0000-0003-1833-9160 ROR:https://ror.org/05krs5044 GRID:grid.11835.3e Sheffield U. Department of Physics and Astronomy, University of Sheffield, Sheffield, UK Loiacono, Eleonora ORCID:0000-0002-2773-0586 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Lomas, Joshua David ORCID:0000-0001-7456-494X ROR:https://ror.org/03angcq70 GRID:grid.6572.6 Birmingham U. School of Physics and Astronomy, University of Birmingham, Birmingham, UK Long, Jonathan INSPIRE-00349854 ORCID:0000-0002-2115-9382 ROR:https://ror.org/00hj8s172 GRID:grid.21729.3f Nevis Labs, Columbia U. Nevis Laboratory, Columbia University, Irvington, NY, USA Longarini, Iacopo ORCID:0000-0002-0352-2854 ROR:https://ror.org/04gyf1771 GRID:grid.266093.8 UC, Irvine Department of Physics and Astronomy, University of California Irvine, Irvine, CA, USA Longo, Riccardo ORCID:0000-0003-3984-6452 ROR:https://ror.org/047426m28 GRID:grid.35403.31 Illinois U., Urbana Department of Physics, University of Illinois, Urbana, IL, USA Lopez Solis, Alvaro INSPIRE-00439816 ORCID:0000-0002-0511-4766 ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Lopez-Canelas, Nicholas Albert ORCID:0009-0007-0484-4322 ROR:https://ror.org/03m2x1q45 GRID:grid.134563.6 Arizona U. Department of Physics, University of Arizona, Tucson, AZ, USA Lorenzo Martinez, Narei INSPIRE-00236921 ORCID:0000-0002-7857-7606 GRID:grid.433124.3 ROR:https://ror.org/049nhh297 GRID:grid.450330.1 Annecy, LAPP LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France Lory, Alexander ORCID:0000-0001-9657-0910 ROR:https://ror.org/05591te55 GRID:grid.5252.0 Munich U. Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany Losada, Martha Alice INSPIRE-00102690 ORCID:0000-0001-8374-5806 ROR:https://ror.org/00e5k0821 GRID:grid.440573.1 New York U., Abu Dhabi New York University Abu Dhabi, Abu Dhabi, United Arab Emirates Loeschcke Centeno, Gianna ORCID:0000-0001-7962-5334 ROR:https://ror.org/00ayhx656 GRID:grid.12082.39 Sussex U. Department of Physics and Astronomy, University of Sussex, Brighton, UK Lou, Xuanhong INSPIRE-00575766 ORCID:0000-0002-8309-5548 ROR:https://ror.org/05f0yaq80 GRID:grid.10548.38 Stockholm U. Stockholm U., OKC Department of Physics, Stockholm University, Stockholm, Sweden Oskar Klein Centre, Stockholm, Sweden Lou, Xinchou INSPIRE-00102733 ORCID:0000-0003-0867-2189 GRID:grid.9227.e GRID:grid.410726.6 ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. UCAS, Beijing Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China University of Chinese Academy of Science (UCAS), Beijing, China Lounis, Abdenour INSPIRE-00219420 ORCID:0000-0003-4066-2087 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Love, Peter INSPIRE-00006364 ORCID:0000-0002-7803-6674 GRID:grid.9835.7 ROR:https://ror.org/01g3dya06 GRID:grid.472314.7 Lancaster U. Physics Department, Lancaster University, Lancaster, UK Lu, Miaoran INSPIRE-00465231 ORCID:0000-0001-7610-3952 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Lu, Sicong ORCID:0000-0002-8814-1670 ROR:https://ror.org/00b30xv10 GRID:grid.25879.31 Pennsylvania U. Department of Physics, University of Pennsylvania, Philadelphia, PA, USA Lu, Yun-Ju INSPIRE-00191837 ORCID:0000-0002-2497-0509 ROR:https://ror.org/05bxb3784 GRID:grid.28665.3f Taiwan, Inst. Phys. Institute of Physics, Academia Sinica, Taipei, Taiwan Lubatti, Henry INSPIRE-00102893 ORCID:0000-0002-9285-7452 GRID:grid.34477.33 ROR:https://ror.org/03d17d270 GRID:grid.504155.0 Washington U., Seattle Department of Physics, University of Washington, Seattle, WA, USA Luci, Claudio INSPIRE-00102930 ORCID:0000-0001-7464-304X GRID:grid.470218.8 ROR:https://ror.org/02be6w209 GRID:grid.7841.a INFN, Rome Rome U. INFN Sezione di Roma, Rome, Italy Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy Lucio Alves, Fabio Lucio ORCID:0000-0002-1626-6255 ROR:https://ror.org/01rxvg760 GRID:grid.41156.37 Nanjing U. Department of Physics, Nanjing University, Nanjing, China Luehring, Fred INSPIRE-00102988 ORCID:0000-0001-8721-6901 GRID:grid.411377.7 ROR:https://ror.org/01kg8sb98 GRID:grid.257410.5 Indiana U. Department of Physics, Indiana University, Bloomington, IN, USA Lunday, Benjamin Sterling ORCID:0000-0001-9790-4724 ROR:https://ror.org/00b30xv10 GRID:grid.25879.31 Pennsylvania U. Department of Physics, University of Pennsylvania, Philadelphia, PA, USA Lundberg, Olof INSPIRE-00286734 ORCID:0009-0004-1439-5151 ROR:https://ror.org/026vcq606 GRID:grid.5037.1 Royal Inst. Tech., Stockholm Department of Physics, Royal Institute of Technology, Stockholm, Sweden Lunde, Jenny ORCID:0009-0008-2630-3532 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Luongo, Nicholas ORCID:0000-0001-6527-0253 ROR:https://ror.org/05gvnxz63 GRID:grid.187073.a Argonne High Energy Physics Division, Argonne National Laboratory, Argonne, IL, USA Lutz, Margaret INSPIRE-00560823 ORCID:0000-0003-4515-0224 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Lux, Adam Brayton ORCID:0000-0002-3025-3020 ROR:https://ror.org/05qwgg493 GRID:grid.189504.1 Boston U. Department of Physics, Boston University, Boston, MA, USA Lynn, David INSPIRE-00219523 ORCID:0000-0002-9634-542X ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Lysak, Roman INSPIRE-00040995 ORCID:0000-0003-2990-1673 GRID:grid.424881.3 ROR:https://ror.org/04jymbd90 GRID:grid.425110.3 Prague, Inst. Phys. Institute of Physics of the Czech Academy of Sciences, Prague, Czech Republic Lysenko, Viktoriia ORCID:0009-0001-1040-7598 ROR:https://ror.org/03kqpb082 GRID:grid.6652.7 Prague, Tech. U. Czech Technical University in Prague, Prague, Czech Republic Lytken, Else INSPIRE-00040983 ORCID:0000-0002-8141-3995 ROR:https://ror.org/012a77v79 GRID:grid.4514.4 Lund U. Fysiska institutionen, Lunds universitet, Lund, Sweden Lyubushkin, Vladimir INSPIRE-00056876 ORCID:0000-0003-0136-233X GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Lyubushkina, Tatiana INSPIRE-00645314 ORCID:0000-0001-8329-7994 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Lyukova, Mars ORCID:0000-0001-8343-9809 ROR:https://ror.org/05qghxh33 GRID:grid.36425.36 SUNY, Stony Brook Departments of Physics and Astronomy, Stony Brook University, Stony Brook, NY, USA Soberi, M.Firdaus M. ORCID:0000-0003-1734-0610 ROR:https://ror.org/01nrxwf90 GRID:grid.4305.2 Edinburgh U. SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK Ma, Hong INSPIRE-00103432 ORCID:0000-0002-8916-6220 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Ma, Kuo ORCID:0009-0004-7076-0889 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Ma, Lianliang INSPIRE-00219535 ORCID:0000-0001-9717-1508 ROR:https://ror.org/0207yh398 GRID:grid.27255.37 Shandong U. Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao, China Ma, Wenhao ORCID:0009-0009-0770-2885 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Ma, Yanhui INSPIRE-00445756 ORCID:0000-0002-3577-9347 ROR:https://ror.org/01g9vbr38 GRID:grid.65519.3e Oklahoma State U. Department of Physics, Oklahoma State University, Stillwater, OK, USA Macdonald, Jack ORCID:0000-0002-3150-3124 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Machado De Abreu Farias, Paulo Cesar ORCID:0000-0002-8423-4933 GRID:grid.8399.b ROR:https://ror.org/03k3p7647 Bahia U. Federal University of Bahia, Bahia, Brazil Madar, Romain INSPIRE-00301124 ORCID:0000-0002-6875-6408 GRID:grid.433124.3 ROR:https://ror.org/0214k6v65 GRID:grid.470921.9 Clermont-Ferrand U. LPC, Université Clermont Auvergne, CNRS/IN2P3, Clermont-Ferrand, France Madula, Thandikire ORCID:0000-0001-7689-8628 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Maeda, Junpei INSPIRE-00030940 ORCID:0000-0002-9084-3305 ROR:https://ror.org/03tgsfw79 GRID:grid.31432.37 Kobe U. Graduate School of Science, Kobe University, Kobe, Japan Maeno, Tadashi INSPIRE-00219608 ORCID:0000-0003-0901-1817 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Mafa, Pedro Takisa ORCID:0000-0002-5581-6248 ROR:https://ror.org/04z6c2n17 GRID:grid.412988.e GRID:grid.412801.e Johannesburg U. n/a Department of Mechanical Engineering Science, University of Johannesburg, Johannesburg, South Africa Department of Mathematical Sciences, University of South Africa, Johannesburg, South Africa Maguire, Helen Ruth ORCID:0000-0001-6218-4309 ROR:https://ror.org/05krs5044 GRID:grid.11835.3e Sheffield U. Department of Physics and Astronomy, University of Sheffield, Sheffield, UK Maheshwari, Minerva ORCID:0009-0005-4032-8179 ROR:https://ror.org/013meh722 GRID:grid.5335.0 Cambridge U. Cavendish Laboratory, University of Cambridge, Cambridge, UK Maiboroda, Vera ORCID:0000-0003-1056-3870 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Maio, Amelia INSPIRE-00219689 ORCID:0000-0001-9099-0009 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 ROR:https://ror.org/01c27hj86 GRID:grid.9983.b LIP, Lisbon Lisboa U., CFNUL Lisbon U., CFNUL Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Departamento de Física, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal Centro de Física Nuclear da Universidade de Lisboa, Lisbon, Portugal Maj, Klaudia INSPIRE-00438133 ORCID:0000-0003-4819-9226 ROR:https://ror.org/00bas1c41 GRID:grid.9922.0 AGH-UST, Cracow AGH University of Krakow, Faculty of Physics and Applied Computer Science, Krakow, Poland Majersky, Oliver INSPIRE-00485315 ORCID:0000-0001-8857-5770 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Majewski, Stephanie INSPIRE-00041779 ORCID:0000-0002-6871-3395 ROR:https://ror.org/0293rh119 GRID:grid.170202.6 Oregon U. Institute for Fundamental Science, University of Oregon, Eugene, OR, USA Makhmanazarov, Ramdas ORCID:0009-0006-2528-2229 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Makovec, Nikola INSPIRE-00006510 ORCID:0000-0001-5124-904X GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Maksimovic, Veljko ORCID:0000-0001-9418-3941 GRID:grid.7149.b ROR:https://ror.org/04h3h5b09 GRID:grid.435330.2 Belgrade U. Institute of Physics, University of Belgrade, Belgrade, Serbia Malaescu, Bogdan INSPIRE-00144706 ORCID:0000-0002-8813-3830 GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Malamant, Jan ROR:https://ror.org/01xtthb56 GRID:grid.5510.1 Oslo U. Department of Physics, University of Oslo, Oslo, Norway Malecki, Pa. ORCID:0000-0001-8183-0468 GRID:grid.418860.3 ROR:https://ror.org/01n78t774 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Maleev, Victor INSPIRE-00219720 ORCID:0000-0003-1028-8602 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Malek, Fairouz INSPIRE-00104125 ORCID:0000-0002-0948-5775 GRID:grid.5676.2 GRID:grid.11956.3a ROR:https://ror.org/03f0apy98 GRID:grid.472561.3 LPSC, Grenoble Stellenbosch U. LPSC, Université Grenoble Alpes, CNRS/IN2P3, Grenoble INP, Grenoble, France Department of Physics, Stellenbosch University, Stellenbosch, South Africa Mali, Miha ORCID:0000-0002-1585-4426 GRID:grid.8954.0 ROR:https://ror.org/05060sz93 GRID:grid.11375.31 Stefan Inst., Ljubljana Department of Experimental Particle Physics, Jožef Stefan Institute and Department of Physics, University of Ljubljana, Ljubljana, Slovenia Malito, Davide ORCID:0000-0002-3996-4662 ROR:https://ror.org/04g2vpn86 GRID:grid.4970.a Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham, UK Mallik, Usha INSPIRE-00104172 ORCID:0000-0001-7934-1649 ROR:https://ror.org/036jqmy94 GRID:grid.214572.7 Iowa U. University of Iowa, Iowa City, IA, USA Maloizel, Alexis ORCID:0009-0008-1202-9309 GRID:grid.433124.3 ROR:https://ror.org/05f82e368 GRID:grid.508487.6 APC, Paris APC, Université Paris Cité, CNRS/IN2P3, Paris, France Maltezos, Stavros INSPIRE-00219744 ROR:https://ror.org/03cx6bg69 GRID:grid.4241.3 Natl. Tech. U., Athens Physics Department, National Technical University of Athens, Zografou, Greece Lopes, A.Malvezzi ORCID:0000-0001-6862-1995 ROR:https://ror.org/0198v2949 GRID:grid.412211.5 Rio de Janeiro State U. Rio de Janeiro State University, Rio de Janeiro, Brazil Malyukov, Sergey INSPIRE-00219768 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Mamuzic, Judita INSPIRE-00219793 ORCID:0000-0002-3203-4243 GRID:grid.8954.0 ROR:https://ror.org/05060sz93 GRID:grid.11375.31 Stefan Inst., Ljubljana Department of Experimental Particle Physics, Jožef Stefan Institute and Department of Physics, University of Ljubljana, Ljubljana, Slovenia Mancini, Giada INSPIRE-00389811 ORCID:0000-0001-6158-2751 ROR:https://ror.org/049jf1a25 GRID:grid.463190.9 Frascati INFN e Laboratori Nazionali di Frascati, Frascati, Italy Mancini, Maya Nicole ORCID:0000-0003-1103-0179 ROR:https://ror.org/05abbep66 GRID:grid.253264.4 Brandeis U. Department of Physics, Brandeis University, Waltham, MA, USA Manco, Giulia ORCID:0000-0002-9909-1111 GRID:grid.470213.3 ROR:https://ror.org/00s6t1f81 GRID:grid.8982.b INFN, Pavia Pavia U. INFN Sezione di Pavia, Pavia, Italy Dipartimento di Fisica, Università di Pavia, Pavia, Italy Mandalia, Jesal ORCID:0000-0001-5038-5154 ROR:https://ror.org/026zzn846 GRID:grid.4868.2 Queen Mary, U. of London Department of Physics and Astronomy, Queen Mary University of London, London, UK Mandarry, Shaadil Shah ORCID:0000-0003-2597-2650 ROR:https://ror.org/00ayhx656 GRID:grid.12082.39 Sussex U. Department of Physics and Astronomy, University of Sussex, Brighton, UK Mandic, Igor INSPIRE-00219818 ORCID:0000-0002-0131-7523 GRID:grid.8954.0 ROR:https://ror.org/05060sz93 GRID:grid.11375.31 Stefan Inst., Ljubljana Department of Experimental Particle Physics, Jožef Stefan Institute and Department of Physics, University of Ljubljana, Ljubljana, Slovenia Manhaes De Andrade Filho, Luciano INSPIRE-00236954 ORCID:0000-0003-1792-6793 ROR:https://ror.org/04yqw9c44 GRID:grid.411198.4 Juiz de Fora U. Departamento de Engenharia Elétrica, Universidade Federal de Juiz de Fora (UFJF), Juiz de Fora, Brazil Maniatis, Ioannis Michail INSPIRE-00655940 ORCID:0000-0002-4362-0088 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Ramos, J.Manjarres INSPIRE-00332115 ORCID:0000-0003-3896-5222 GRID:grid.15781.3a ROR:https://ror.org/03gc1p724 GRID:grid.508754.b L2IT, Toulouse L2IT, Université de Toulouse, CNRS/IN2P3, UPS, Toulouse, France Mankad, Dvij ORCID:0000-0002-5708-0510 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Mann, Alexander INSPIRE-00219853 ORCID:0000-0002-8497-9038 ROR:https://ror.org/05591te55 GRID:grid.5252.0 Munich U. Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany Manoussos, Theodoros ORCID:0009-0005-8459-8349 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Mantinan, Matias Nahuel ORCID:0009-0005-4380-9533 ROR:https://ror.org/024mw5h28 GRID:grid.170205.1 Chicago U., EFI Enrico Fermi Institute, University of Chicago, Chicago, IL, USA Manzoni, Stefano INSPIRE-00436885 ORCID:0000-0002-2488-0511 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Mao, Lining ORCID:0000-0002-6123-7699 ROR:https://ror.org/0220qvk04 GRID:grid.16821.3c Shanghai Jiao Tong U. State Key Laboratory of Dark Matter Physics, School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MOE), SKLPPC, Shanghai, China Mapekula, Xola Gugulethu ORCID:0000-0003-4046-0039 ROR:https://ror.org/04z6c2n17 GRID:grid.412988.e Johannesburg U. Department of Mechanical Engineering Science, University of Johannesburg, Johannesburg, South Africa Marantis, Alexandros INSPIRE-00640498 ORCID:0000-0002-7020-4098 ROR:https://ror.org/02j61yw88 GRID:grid.4793.9 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Gregorio, Robert Renz ORCID:0000-0002-9266-1820 ROR:https://ror.org/026zzn846 GRID:grid.4868.2 Queen Mary, U. of London Department of Physics and Astronomy, Queen Mary University of London, London, UK Marchiori, Giovanni INSPIRE-00041986 ORCID:0000-0003-2655-7643 GRID:grid.433124.3 ROR:https://ror.org/05f82e368 GRID:grid.508487.6 APC, Paris APC, Université Paris Cité, CNRS/IN2P3, Paris, France Marcon, Caterina INSPIRE-00647866 ORCID:0000-0002-9889-8271 GRID:grid.470206.7 ROR:https://ror.org/04w4m6z96 INFN, Milan INFN Sezione di Milano, Milan, Italy Maricic, Ema ORCID:0000-0002-1790-8352 ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Marinescu, Mihaela ORCID:0000-0002-4588-3578 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Marium, Sadia ORCID:0000-0002-8431-1943 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Marjanovic, Marija INSPIRE-00355110 ORCID:0000-0002-4468-0154 ROR:https://ror.org/02aqsxs83 GRID:grid.266900.b Oklahoma U. Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, OK, USA Markhoos, Ahmed ORCID:0000-0002-9702-7431 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Markovitch, Mathieu ORCID:0000-0001-6231-3019 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Maroun, Matthew Kenneth ORCID:0000-0002-9464-2199 ROR:https://ror.org/0072zz521 GRID:grid.266683.f Massachusetts U., Amherst Department of Physics, University of Massachusetts, Amherst, MA, USA Marr, Metea Castilleja ORCID:0000-0003-0239-7024 ROR:https://ror.org/0213rcc28 GRID:grid.61971.38 Simon Fraser U. Department of Physics, Simon Fraser University, Burnaby, BC, Canada Marsden, George Turner ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Marshall, Emma ORCID:0000-0003-3662-4694 GRID:grid.9835.7 ROR:https://ror.org/01g3dya06 GRID:grid.472314.7 Lancaster U. Physics Department, Lancaster University, Lancaster, UK Marshall, Zach INSPIRE-00219927 ORCID:0000-0003-0786-2570 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Marti I Garcia, Salvador INSPIRE-00050327 ORCID:0000-0002-3897-6223 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Martin, Juliette ORCID:0000-0002-3083-8782 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Martin, T.A. INSPIRE-00219969 ORCID:0000-0002-1477-1645 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Rutherford Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Martin, Victoria INSPIRE-00105165 ORCID:0000-0003-3053-8146 ROR:https://ror.org/01nrxwf90 GRID:grid.4305.2 Edinburgh U. SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK Martin Dit Latour, Bertrand INSPIRE-00001472 ORCID:0000-0003-3420-2105 ROR:https://ror.org/03zga2b32 GRID:grid.7914.b Bergen U. Department for Physics and Technology, University of Bergen, Bergen, Norway Martinelli, Luca ORCID:0000-0002-4466-3864 GRID:grid.470218.8 ROR:https://ror.org/02be6w209 GRID:grid.7841.a INFN, Rome Rome U. INFN Sezione di Roma, Rome, Italy Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy Martinez-Perez, Mario INSPIRE-00105204 ORCID:0000-0002-3135-945X ROR:https://ror.org/03kpps236 GRID:grid.473715.3 GRID:grid.425902.8 Barcelona, IFAE ICREA, Barcelona Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Institucio Catalana de Recerca i Estudis Avancats, ICREA, Barcelona, Spain Martinez Agullo, Pablo ORCID:0000-0001-8925-9518 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Martinez Outschoorn, Verena Ingrid INSPIRE-00256761 ORCID:0000-0001-7102-6388 ROR:https://ror.org/0072zz521 GRID:grid.266683.f Massachusetts U., Amherst Department of Physics, University of Massachusetts, Amherst, MA, USA Martinez Suarez, Paula ORCID:0000-0001-6914-1168 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Martin-Haugh, Stewart INSPIRE-00236968 ORCID:0000-0001-9457-1928 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Rutherford Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Martinovicova, Gabriela ORCID:0000-0002-9144-2642 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Martoiu, Sorin INSPIRE-00388336 ORCID:0000-0002-4963-9441 ROR:https://ror.org/00d3pnh21 GRID:grid.443874.8 Bucharest, IFIN-HH Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania Marzin, Antoine INSPIRE-00220006 ORCID:0000-0003-4364-4351 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Mascione, Daniela ORCID:0000-0001-8660-9893 GRID:grid.470224.7 ROR:https://ror.org/05trd4x28 GRID:grid.11696.39 TIFPA-INFN, Trento Trento U. INFN-TIFPA, Povo, Italy Università degli Studi di Trento, Trento, Italy Masetti, Lucia INSPIRE-00220018 ORCID:0000-0002-0038-5372 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Masik, Jiri INSPIRE-00220043 ORCID:0000-0002-6813-8423 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Maslennikov, Alexei INSPIRE-00220055 ORCID:0000-0002-4234-3111 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Mason, Sylvia Louise ORCID:0009-0009-3320-9322 ROR:https://ror.org/00hj8s172 GRID:grid.21729.3f Nevis Labs, Columbia U. Nevis Laboratory, Columbia University, Irvington, NY, USA Massarotti, Paolo INSPIRE-00293652 ORCID:0000-0002-9335-9690 GRID:grid.470211.1 ROR:https://ror.org/05290cv24 GRID:grid.4691.a Naples U. INFN Sezione di Napoli, Naples, Italy Dipartimento di Fisica, Università di Napoli, Naples, Italy Mastrandrea, Paolo INSPIRE-00030630 ORCID:0000-0002-9853-0194 GRID:grid.470216.6 ROR:https://ror.org/03ad39j10 GRID:grid.5395.a INFN, Pisa Pisa U. INFN Sezione di Pisa, Pisa, Italy Dipartimento di Fisica E. Fermi, Università di Pisa, Pisa, Italy Mastroberardino, Anna INSPIRE-00172288 ORCID:0000-0002-8933-9494 ROR:https://ror.org/02rc97e94 GRID:grid.7778.f GRID:grid.463190.9 INFN, Cosenza Calabria U. Dipartimento di Fisica, Università della Calabria, Rende, Italy INFN Gruppo Collegato di Cosenza, Laboratori Nazionali di Frascati, Frascati, Italy Masubuchi, Tatsuya INSPIRE-00030446 ORCID:0000-0001-9984-8009 ROR:https://ror.org/035t8zc32 GRID:grid.136593.b Osaka U. Graduate School of Science, University of Osaka, Osaka, Japan Mathew, Timothy Thankachen ORCID:0009-0005-5396-4756 ROR:https://ror.org/0293rh119 GRID:grid.170202.6 Oregon U. Institute for Fundamental Science, University of Oregon, Eugene, OR, USA Matousek, Jan ORCID:0000-0002-2174-5517 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Mattern, Donna Maria ORCID:0009-0002-0808-3798 ROR:https://ror.org/01k97gp34 GRID:grid.5675.1 Dortmund U. Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany Maurer, Julien INSPIRE-00236977 ORCID:0000-0002-5162-3713 ROR:https://ror.org/00d3pnh21 GRID:grid.443874.8 Bucharest, IFIN-HH Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania Maurin, Theo ORCID:0000-0001-5914-5018 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Maury, Arnaud Jean ORCID:0000-0001-7331-2732 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Macek, Bostjan INSPIRE-00219572 ORCID:0000-0002-1449-0317 GRID:grid.8954.0 ROR:https://ror.org/05060sz93 GRID:grid.11375.31 Stefan Inst., Ljubljana Department of Experimental Particle Physics, Jožef Stefan Institute and Department of Physics, University of Ljubljana, Ljubljana, Slovenia Mavungu Tsava, Christian ORCID:0000-0002-1775-3258 ROR:https://ror.org/00fw8bp86 GRID:grid.470046.1 Marseille, CPPM CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France Maximov, Dmitriy INSPIRE-00236989 ORCID:0000-0001-8783-3758 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland May, Alex ORCID:0000-0003-4227-7094 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Mayer, Eva ORCID:0009-0007-0440-7966 GRID:grid.433124.3 ROR:https://ror.org/0214k6v65 GRID:grid.470921.9 Clermont-Ferrand U. LPC, Université Clermont Auvergne, CNRS/IN2P3, Clermont-Ferrand, France Mazini, Rachid INSPIRE-00220110 ORCID:0000-0003-0954-0970 ROR:https://ror.org/03rp50x72 GRID:grid.11951.3d Witwatersrand U. School of Physics, University of the Witwatersrand, Johannesburg, South Africa Maznas, Ioannis INSPIRE-00525014 ORCID:0000-0001-8420-3742 ROR:https://ror.org/012wxa772 GRID:grid.261128.e Northern Illinois U. Department of Physics, Northern Illinois University, DeKalb, IL, USA Mazza, Simone Michele INSPIRE-00386351 ORCID:0000-0003-3865-730X ROR:https://ror.org/03s65by71 GRID:grid.205975.c UC, Santa Cruz Santa Cruz Institute for Particle Physics, University of California Santa Cruz, Santa Cruz, CA, USA Mazzeo, Elena ORCID:0000-0002-8406-0195 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Mc Gowan, John Patrick ORCID:0000-0001-7551-3386 ROR:https://ror.org/04s5mat29 GRID:grid.143640.4 Victoria U. Department of Physics and Astronomy, University of Victoria, Victoria, BC, Canada Mc Kee, Shawn INSPIRE-00260714 ORCID:0000-0002-4551-4502 ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Mc Lean, Christine Angela ORCID:0000-0002-7450-4805 ROR:https://ror.org/05gvnxz63 GRID:grid.187073.a Argonne High Energy Physics Division, Argonne National Laboratory, Argonne, IL, USA Mccracken, Callum ORCID:0000-0002-9656-5692 ROR:https://ror.org/03rmrcq20 GRID:grid.17091.3e British Columbia U. Department of Physics, University of British Columbia, Vancouver, BC, Canada McDonald, E.F. ORCID:0000-0002-8092-5331 GRID:grid.1008.9 ROR:https://ror.org/01ej9dk98 Melbourne U. School of Physics, University of Melbourne, Victoria, Australia Mcdougall, Ashley Ellen ORCID:0000-0002-2489-2598 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Mcelhinney, Luke Francis ORCID:0000-0001-7646-4504 GRID:grid.9835.7 ROR:https://ror.org/01g3dya06 GRID:grid.472314.7 Lancaster U. Physics Department, Lancaster University, Lancaster, UK Mcfayden, Josh INSPIRE-00231570 ORCID:0000-0001-9273-2564 ROR:https://ror.org/00ayhx656 GRID:grid.12082.39 Sussex U. Department of Physics and Astronomy, University of Sussex, Brighton, UK McGovern, R.P. ORCID:0000-0001-9139-6896 GRID:grid.25879.31 ROR:https://ror.org/00b30xv10 Pennsylvania U. Department of Physics, University of Pennsylvania, Philadelphia, PA, USA Mckenzie, Ryan Peter ORCID:0000-0001-9618-3689 ROR:https://ror.org/03rp50x72 GRID:grid.11951.3d Witwatersrand U. School of Physics, University of the Witwatersrand, Johannesburg, South Africa Mclachlan, Thomas Christopher ORCID:0000-0002-0930-5340 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Mclaughlin, Donal Joseph ORCID:0000-0003-2424-5697 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Mcmahon, Steve INSPIRE-00220148 ORCID:0000-0002-3599-9075 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Rutherford Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Mcpartland, Conor ORCID:0000-0003-1477-1407 ROR:https://ror.org/04xs57h96 GRID:grid.10025.36 Liverpool U. Oliver Lodge Laboratory, University of Liverpool, Liverpool, UK McPherson, R.A. INSPIRE-00106476 ORCID:0000-0001-9211-7019 ROR:https://ror.org/04s5mat29 GRID:grid.143640.4 GRID:grid.421197.8 Victoria U. IPP, Canada Department of Physics and Astronomy, University of Victoria, Victoria, BC, Canada Institute of Particle Physics (IPP), Toronto, Canada Mehlhase, Sascha INSPIRE-00220289 ORCID:0000-0002-1281-2060 ROR:https://ror.org/05591te55 GRID:grid.5252.0 Munich U. Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany Mehta, Andrew INSPIRE-00300183 ORCID:0000-0003-2619-9743 ROR:https://ror.org/04xs57h96 GRID:grid.10025.36 Liverpool U. Oliver Lodge Laboratory, University of Liverpool, Liverpool, UK Melini, Davide INSPIRE-00442240 ORCID:0000-0002-7018-682X ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Mellado Garcia, Bruce INSPIRE-00005240 ORCID:0000-0003-4838-1546 ROR:https://ror.org/03rp50x72 GRID:grid.11951.3d Witwatersrand U. School of Physics, University of the Witwatersrand, Johannesburg, South Africa Melo, Andres Hugo ORCID:0000-0002-3964-6736 ROR:https://ror.org/01y9bpm73 GRID:grid.7450.6 Gottingen U., II. Phys. Inst. II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany Meloni, Federico INSPIRE-00286780 ORCID:0000-0001-7075-2214 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Mendes Jacques Da Costa, Antonio Manuel ORCID:0000-0001-6305-8400 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Meng, Lingxin INSPIRE-00533043 ORCID:0000-0002-2901-6589 GRID:grid.9835.7 ROR:https://ror.org/01g3dya06 GRID:grid.472314.7 Lancaster U. Physics Department, Lancaster University, Lancaster, UK Menke, Sven INSPIRE-00106910 ORCID:0000-0002-8186-4032 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Mentink, Matthias ORCID:0000-0001-9769-0578 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Meoni, Evelin INSPIRE-00220314 ORCID:0000-0002-6934-3752 ROR:https://ror.org/02rc97e94 GRID:grid.7778.f GRID:grid.463190.9 INFN, Cosenza Calabria U. Dipartimento di Fisica, Università della Calabria, Rende, Italy INFN Gruppo Collegato di Cosenza, Laboratori Nazionali di Frascati, Frascati, Italy Mercado, Gretel ORCID:0009-0009-4494-6045 ROR:https://ror.org/012wxa772 GRID:grid.261128.e Northern Illinois U. Department of Physics, Northern Illinois University, DeKalb, IL, USA Merianos, Spyridon ORCID:0000-0001-6512-0036 ROR:https://ror.org/02j61yw88 GRID:grid.4793.9 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Merlassino, Claudia INSPIRE-00566499 ORCID:0000-0002-5445-5938 ROR:https://ror.org/05ht0mh31 GRID:grid.5390.f INFN, Udine Udine U. INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy Dipartimento Politecnico di Ingegneria e Architettura, Università di Udine, Udine, Italy Meroni, Chiara INSPIRE-00107020 ORCID:0000-0003-4779-3522 ROR:https://ror.org/04w4m6z96 GRID:grid.470206.7 GRID:grid.4708.b INFN, Milan Milan U. INFN Sezione di Milano, Milan, Italy Dipartimento di Fisica, Università di Milano, Milan, Italy Metcalfe, Jessica INSPIRE-00220340 ORCID:0000-0001-5454-3017 ROR:https://ror.org/05gvnxz63 GRID:grid.187073.a Argonne High Energy Physics Division, Argonne National Laboratory, Argonne, IL, USA Mete, Alaettin Serhan INSPIRE-00220356 ORCID:0000-0002-5508-530X ROR:https://ror.org/05gvnxz63 GRID:grid.187073.a Argonne High Energy Physics Division, Argonne National Laboratory, Argonne, IL, USA Meuser, Emanuel ORCID:0000-0002-0473-2116 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Meyer, Chris INSPIRE-00237016 ORCID:0000-0003-3552-6566 GRID:grid.411377.7 ROR:https://ror.org/01kg8sb98 GRID:grid.257410.5 Indiana U. Department of Physics, Indiana University, Bloomington, IN, USA Meyer, Jean-Pierre INSPIRE-00220370 ORCID:0000-0002-7497-0945 ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Miao, Yuhui ROR:https://ror.org/01rxvg760 GRID:grid.41156.37 Nanjing U. Department of Physics, Nanjing University, Nanjing, China Middleton, Robin INSPIRE-00107429 ORCID:0000-0002-8396-9946 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Rutherford Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Mihovilovic, Marko ORCID:0009-0005-0954-0489 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Mijovic, Liza INSPIRE-00220450 ORCID:0000-0003-0162-2891 ROR:https://ror.org/01nrxwf90 GRID:grid.4305.2 Edinburgh U. SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK Mikenberg, George INSPIRE-00107520 ORCID:0000-0003-0460-3178 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Mikestikova, Marcela INSPIRE-00220462 ORCID:0000-0003-1277-2596 GRID:grid.424881.3 ROR:https://ror.org/04jymbd90 GRID:grid.425110.3 Prague, Inst. Phys. Institute of Physics of the Czech Academy of Sciences, Prague, Czech Republic Mikuz, Marko INSPIRE-00220474 ORCID:0000-0002-4119-6156 GRID:grid.8954.0 ROR:https://ror.org/05060sz93 GRID:grid.11375.31 Stefan Inst., Ljubljana Department of Experimental Particle Physics, Jožef Stefan Institute and Department of Physics, University of Ljubljana, Ljubljana, Slovenia Mildner, Hannes INSPIRE-00381690 ORCID:0000-0002-0384-6955 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Milic, Adriana INSPIRE-00371740 ORCID:0000-0002-9173-8363 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Miller, David INSPIRE-00023943 ORCID:0000-0002-9485-9435 ROR:https://ror.org/024mw5h28 GRID:grid.170205.1 Chicago U., EFI Enrico Fermi Institute, University of Chicago, Chicago, IL, USA Miller, Eric Haynes ORCID:0000-0002-7083-1585 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Milov, Alexander INSPIRE-00056451 ORCID:0000-0003-3863-3607 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Milstead, David Anthony INSPIRE-00220498 ROR:https://ror.org/05f0yaq80 GRID:grid.10548.38 Stockholm U. Stockholm U., OKC Department of Physics, Stockholm University, Stockholm, Sweden Oskar Klein Centre, Stockholm, Sweden Min, Tianjue ROR:https://ror.org/01rxvg760 GRID:grid.41156.37 Nanjing U. Department of Physics, Nanjing University, Nanjing, China Minaenko, Andrei INSPIRE-00220511 ORCID:0000-0001-8055-4692 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Minashvili, Irakli INSPIRE-00306048 ORCID:0000-0002-4688-3510 ROR:https://ror.org/05fd1hd85 GRID:grid.26193.3f Tbilisi State U. High Energy Physics Institute, Tbilisi State University, Tbilisi, Georgia Mincer, Allen Irving INSPIRE-00107849 ORCID:0000-0002-6307-1418 ROR:https://ror.org/0190ak572 GRID:grid.137628.9 New York U. Department of Physics, New York University, New York, NY, USA Mindur, Bartosz INSPIRE-00220535 ORCID:0000-0002-5511-2611 ROR:https://ror.org/00bas1c41 GRID:grid.9922.0 AGH-UST, Cracow AGH University of Krakow, Faculty of Physics and Applied Computer Science, Krakow, Poland Mineev, Mikhail INSPIRE-00220541 ORCID:0000-0002-2236-3879 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Mino, Yuya ORCID:0000-0002-2984-8174 ROR:https://ror.org/02kpeqv85 GRID:grid.258799.8 Kyoto U. Faculty of Science, Kyoto University, Kyoto, Japan Mir Martinez, Lluisa Maria INSPIRE-00220565 ORCID:0000-0002-4276-715X ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Miralles Lopez, Marcos ORCID:0000-0001-7863-583X GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Mironova, Maria ORCID:0000-0001-6381-5723 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Missio, Marion ORCID:0000-0002-0494-9753 GRID:grid.420012.5 ROR:https://ror.org/016xsfp80 GRID:grid.5590.9 Nijmegen U. Institute for Mathematics, Astrophysics and Particle Physics, Radboud University/Nikhef, Nijmegen, The Netherlands Mitra, Ankush INSPIRE-00008077 ORCID:0000-0003-3714-0915 ROR:https://ror.org/01a77tt86 GRID:grid.7372.1 Warwick U. Department of Physics, University of Warwick, Coventry, UK Mitsou, Vasiliki INSPIRE-00108110 ORCID:0000-0002-1533-8886 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Mitsumori, Yuki ORCID:0000-0003-4863-3272 ROR:https://ror.org/04chrp450 GRID:grid.27476.30 Nagoya U. Graduate School of Science and Kobayashi-Maskawa Institute, Nagoya University, Nagoya, Japan Miu, Ovidiu ORCID:0000-0002-0287-8293 ROR:https://ror.org/03dbr7087 GRID:grid.17063.33 Toronto U. Department of Physics, University of Toronto, Toronto, ON, Canada Miyagawa, Paul INSPIRE-00049051 ORCID:0000-0002-4893-6778 ROR:https://ror.org/026zzn846 GRID:grid.4868.2 Queen Mary, U. of London Department of Physics and Astronomy, Queen Mary University of London, London, UK Mkrtchyan, Tigran INSPIRE-00563534 ORCID:0000-0002-5786-3136 ROR:https://ror.org/038t36y30 GRID:grid.7700.0 Kirchhoff Inst. Phys. Kirchhoff-Institut für Physik, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Mlinarevic, Marin ORCID:0000-0003-3587-646X ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Mlinarevic, Toni ORCID:0000-0002-6399-1732 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Mlynarikova, Michaela INSPIRE-00525048 ORCID:0000-0003-2028-1930 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Mlynarski, Luthien ORCID:0000-0002-5579-3322 ROR:https://ror.org/00bas1c41 GRID:grid.9922.0 AGH-UST, Cracow AGH University of Krakow, Faculty of Physics and Applied Computer Science, Krakow, Poland Mobius, Silke ORCID:0000-0001-5911-6815 ROR:https://ror.org/02k7v4d05 GRID:grid.5734.5 Bern U., LHEP Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics, University of Bern, Bern, Switzerland Mohamed Farook, Mohamed Hijas ORCID:0000-0002-2082-8134 ROR:https://ror.org/05fs6jp91 GRID:grid.266832.b New Mexico U. Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA Mohapatra, Soumya INSPIRE-00231736 ORCID:0000-0003-3006-6337 ROR:https://ror.org/00hj8s172 GRID:grid.21729.3f Nevis Labs, Columbia U. Nevis Laboratory, Columbia University, Irvington, NY, USA Mohiuddin, Saad ORCID:0000-0002-7208-8318 ROR:https://ror.org/01g9vbr38 GRID:grid.65519.3e Oklahoma State U. Department of Physics, Oklahoma State University, Stillwater, OK, USA Mokgatitswane, Gaogalalwe ORCID:0000-0001-9878-4373 ROR:https://ror.org/03rp50x72 GRID:grid.11951.3d Witwatersrand U. School of Physics, University of the Witwatersrand, Johannesburg, South Africa Moleri, Luca ORCID:0000-0003-0196-3602 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Molinatti, Umberto ORCID:0000-0002-9235-3406 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Mollier, Lucas ORCID:0009-0004-3394-0506 ROR:https://ror.org/02k7v4d05 GRID:grid.5734.5 Bern U., LHEP Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics, University of Bern, Bern, Switzerland Mondal, Buddhadeb ORCID:0000-0003-1025-3741 ROR:https://ror.org/02azyry73 GRID:grid.5836.8 Siegen U. Department Physik, Universität Siegen, Siegen, Germany Mondal, Santu ORCID:0000-0002-6965-7380 ROR:https://ror.org/03kqpb082 GRID:grid.6652.7 Prague, Tech. U. Czech Technical University in Prague, Prague, Czech Republic Monig, Klaus INSPIRE-00108503 ORCID:0000-0002-3169-7117 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Monnier, Emmanuel INSPIRE-00326813 ORCID:0000-0002-2551-5751 ROR:https://ror.org/00fw8bp86 GRID:grid.470046.1 Marseille, CPPM CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France Monsonis Romero, Luis ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Montejo Berlingen, Javier INSPIRE-00286815 ORCID:0000-0001-9213-904X ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Montella, Alessandro ORCID:0000-0002-5578-6333 ROR:https://ror.org/05f0yaq80 GRID:grid.10548.38 Stockholm U. Stockholm U., OKC Department of Physics, Stockholm University, Stockholm, Sweden Oskar Klein Centre, Stockholm, Sweden Montella, Marco INSPIRE-00645997 ORCID:0000-0001-5010-886X ROR:https://ror.org/00rs6vg23 GRID:grid.261331.4 Ohio State U. Ohio State University, Columbus, OH, USA Montereali, Federico ORCID:0000-0002-9939-8543 GRID:grid.470220.3 ROR:https://ror.org/05vf0dg29 GRID:grid.8509.4 Rome III U. INFN Sezione di Roma Tre, Rome, Italy Dipartimento di Matematica e Fisica, Università Roma Tre, Rome, Italy Monticelli, Fernando INSPIRE-00220717 ORCID:0000-0002-6974-1443 GRID:grid.450288.3 ROR:https://ror.org/01tjs6929 GRID:grid.9499.d La Plata U. Instituto de Física La Plata, Universidad Nacional de La Plata and CONICET, La Plata, Argentina Monzani, Simone INSPIRE-00231765 ORCID:0000-0002-0479-2207 ROR:https://ror.org/05ht0mh31 GRID:grid.5390.f INFN, Udine Udine U. INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy Dipartimento Politecnico di Ingegneria e Architettura, Università di Udine, Udine, Italy Morancho Tarda, Arnau ORCID:0000-0002-4870-4758 ROR:https://ror.org/035b05819 GRID:grid.5254.6 Bohr Inst. Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark Morange, Nicolas INSPIRE-00231774 ORCID:0000-0003-0047-7215 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Moreira De Carvalho, Ana Luisa ORCID:0000-0002-1986-5720 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Moreno Llacer, Maria INSPIRE-00332523 ORCID:0000-0003-1113-3645 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Moreno Martinez, Carlos ORCID:0000-0002-5719-7655 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Moreno Perez, Juan Manuel ROR:https://ror.org/059yx9a68 GRID:grid.10689.36 Colombia, U. Natl. Departamento de Física, Universidad Nacional de Colombia, Bogotá, Colombia Morettini, Paolo INSPIRE-00220772 ORCID:0000-0001-7139-7912 GRID:grid.470205.4 ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Sezione di Genova, Genoa, Italy Morgenstern, Stefanie INSPIRE-00511715 ORCID:0000-0002-7834-4781 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Morii, Masahiro INSPIRE-00108914 ORCID:0000-0001-9324-057X ROR:https://ror.org/03vek6s52 GRID:grid.38142.3c Harvard U., Phys. Dept. Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA, USA Morinaga, Masahiro INSPIRE-00381150 ORCID:0000-0003-2129-1372 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Moritsu, Manabu ORCID:0000-0001-6357-0543 ROR:https://ror.org/00p4k0j84 GRID:grid.177174.3 Kyushu U. Research Center for Advanced Particle Physics and Department of Physics, Kyushu University, Fukuoka, Japan Morodei, Federico ORCID:0000-0001-8251-7262 GRID:grid.470218.8 ROR:https://ror.org/02be6w209 GRID:grid.7841.a INFN, Rome Rome U. INFN Sezione di Roma, Rome, Italy Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy Moschovakos, Paris INSPIRE-00529702 ORCID:0000-0001-6993-9698 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Moser, Brian INSPIRE-00657160 ORCID:0000-0001-6750-5060 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Mosidze, Maia INSPIRE-00306063 ORCID:0000-0002-1720-0493 ROR:https://ror.org/05fd1hd85 GRID:grid.26193.3f Tbilisi State U. High Energy Physics Institute, Tbilisi State University, Tbilisi, Georgia Moskalets, Tetiana ORCID:0000-0001-6508-3968 ROR:https://ror.org/042tdr378 GRID:grid.263864.d Southern Methodist U. Physics Department, Southern Methodist University, Dallas, TX, USA Moskvitina, Polina ORCID:0000-0002-7926-7650 GRID:grid.420012.5 ROR:https://ror.org/016xsfp80 GRID:grid.5590.9 Nijmegen U. Institute for Mathematics, Astrophysics and Particle Physics, Radboud University/Nikhef, Nijmegen, The Netherlands Moss, Joshua INSPIRE-00220808 ORCID:0000-0002-6729-4803 GRID:grid.213902.b ROR:https://ror.org/03enmdz06 GRID:grid.253558.c Fresno State California State University, Long Beach, CA, USA Moszkowicz, Piotr ORCID:0000-0001-5269-6191 ROR:https://ror.org/00bas1c41 GRID:grid.9922.0 AGH-UST, Cracow AGH University of Krakow, Faculty of Physics and Applied Computer Science, Krakow, Poland Moussa, Abdelilah ORCID:0000-0003-2233-9120 ROR:https://ror.org/01ejxf797 GRID:grid.410890.4 Oujda U. LPMR, Faculté des Sciences, Université Mohamed Premier, Oujda, Morocco Moyal, Yftach ORCID:0000-0001-8049-671X ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Moyano Gomez, Helena ORCID:0009-0009-7649-2893 ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Moyse, Edward INSPIRE-00220821 ORCID:0000-0003-4449-6178 ROR:https://ror.org/0072zz521 GRID:grid.266683.f Massachusetts U., Amherst Department of Physics, University of Massachusetts, Amherst, MA, USA Mroz, Tomasz Grzegorz ORCID:0009-0001-6868-9380 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Mtintsilana, Onesimo ORCID:0000-0003-2168-4854 ROR:https://ror.org/03rp50x72 GRID:grid.11951.3d Witwatersrand U. School of Physics, University of the Witwatersrand, Johannesburg, South Africa Muanza, Steve INSPIRE-00109389 ORCID:0000-0002-1786-2075 ROR:https://ror.org/00fw8bp86 GRID:grid.470046.1 Marseille, CPPM CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France Mucha, Maximilian ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Mueller, James Alfred INSPIRE-00109443 ORCID:0000-0001-5099-4718 ROR:https://ror.org/01an3r305 GRID:grid.21925.3d Pittsburgh U. Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA, USA Mueller, Roman ORCID:0000-0002-5835-0690 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Mullier, Geoffrey INSPIRE-00407702 ORCID:0000-0001-6771-0937 ROR:https://ror.org/048a87296 GRID:grid.8993.b Uppsala U., Inst. Theor. Phys. Department of Physics and Astronomy, University of Uppsala, Uppsala, Sweden Mullin, Anna Jane ROR:https://ror.org/013meh722 GRID:grid.5335.0 Cambridge U. Cavendish Laboratory, University of Cambridge, Cambridge, UK Mullin, Joseph ROR:https://ror.org/00py81415 GRID:grid.26009.3d Duke U. Department of Physics, Duke University, Durham, NC, USA Mullins, Austin Charles ROR:https://ror.org/042tdr378 GRID:grid.263864.d Southern Methodist U. Physics Department, Southern Methodist University, Dallas, TX, USA Mulski, Alexis Elizabeth ORCID:0000-0001-6187-9344 ROR:https://ror.org/03vek6s52 GRID:grid.38142.3c Harvard U., Phys. Dept. Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA, USA Mungo, Davide ORCID:0000-0002-2567-7857 ROR:https://ror.org/03dbr7087 GRID:grid.17063.33 Toronto U. Department of Physics, University of Toronto, Toronto, ON, Canada Munoz Perez, David ORCID:0000-0003-3215-6467 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Munoz Sanchez, Francisca INSPIRE-00017703 ORCID:0000-0002-6374-458X ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Murray, W.J. ORCID:0000-0003-1710-6306 GRID:grid.76978.37 GRID:grid.7372.1 ROR:https://ror.org/03gq8fr08 ROR:https://ror.org/01a77tt86 Rutherford Warwick U. Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Department of Physics, University of Warwick, Coventry, UK Muskinja, Miha INSPIRE-00452370 ORCID:0000-0001-8442-2718 GRID:grid.8954.0 ROR:https://ror.org/05060sz93 GRID:grid.11375.31 Stefan Inst., Ljubljana Department of Experimental Particle Physics, Jožef Stefan Institute and Department of Physics, University of Ljubljana, Ljubljana, Slovenia Mwewa, Chilufya INSPIRE-00571522 ORCID:0000-0002-3504-0366 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Myagkov, Alexei INSPIRE-00220926 ORCID:0000-0003-4189-4250 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Myers, Andrew Joel ORCID:0000-0003-1691-4643 ROR:https://ror.org/019kgqr73 GRID:grid.267315.4 Texas U., Arlington Department of Physics, University of Texas at Arlington, Arlington, TX, USA Myers, Greg ORCID:0000-0002-2562-0930 ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Myska, Miroslav INSPIRE-00220932 ORCID:0000-0003-0982-3380 ROR:https://ror.org/03kqpb082 GRID:grid.6652.7 Prague, Tech. U. Czech Technical University in Prague, Prague, Czech Republic Nachman, B.P. INSPIRE-00376212 ORCID:0000-0003-1024-0932 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Nagai, Koichi INSPIRE-00220956 ORCID:0000-0002-4285-0578 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Nagano, Kunihiro INSPIRE-00110036 ORCID:0000-0003-2741-0627 ROR:https://ror.org/01g5y5k24 GRID:grid.410794.f KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Nagasaka, Ren ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Nagle, James Lawrence ORCID:0000-0003-0056-6613 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 ROR:https://ror.org/02ttsq026 GRID:grid.266190.a Brookhaven Colorado U. Physics Department, Brookhaven National Laboratory, Upton, NY, USA Department of Physics, University of Colorado, Boulder, CO, USA Nagy, Elemer INSPIRE-00110088 ORCID:0000-0001-5420-9537 ROR:https://ror.org/00fw8bp86 GRID:grid.470046.1 Marseille, CPPM CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France Nairz, Armin INSPIRE-00220970 ORCID:0000-0003-3561-0880 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Nakahama Higuchi, Yu INSPIRE-00286861 ORCID:0000-0003-3133-7100 ROR:https://ror.org/01g5y5k24 GRID:grid.410794.f KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Nakamura, Koji INSPIRE-00047824 ORCID:0000-0002-1560-0434 ROR:https://ror.org/01g5y5k24 GRID:grid.410794.f KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Nakkalil, Keerthi ORCID:0000-0002-5662-3907 GRID:grid.433124.3 ROR:https://ror.org/05f82e368 GRID:grid.508487.6 APC, Paris APC, Université Paris Cité, CNRS/IN2P3, Paris, France Nandi, Abhirikshma ORCID:0000-0002-5590-4176 ROR:https://ror.org/038t36y30 GRID:grid.7700.0 Heidelberg U. Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Nanjo, Hajime INSPIRE-00034540 ORCID:0000-0003-0703-103X ROR:https://ror.org/035t8zc32 GRID:grid.136593.b Osaka U. Graduate School of Science, University of Osaka, Osaka, Japan Narayanan, Easwar Anand ORCID:0000-0001-6042-6781 ROR:https://ror.org/042tdr378 GRID:grid.263864.d Southern Methodist U. Physics Department, Southern Methodist University, Dallas, TX, USA Narukawa, Yoshifumi ORCID:0009-0001-7726-8983 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Naryshkin, Iurii INSPIRE-00439969 ORCID:0000-0001-6412-4801 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Nasella, Laura ORCID:0000-0002-4871-784X ROR:https://ror.org/04w4m6z96 GRID:grid.470206.7 GRID:grid.4708.b INFN, Milan Milan U. INFN Sezione di Milano, Milan, Italy Dipartimento di Fisica, Università di Milano, Milan, Italy Nasri, Salah ORCID:0000-0002-5985-4567 ROR:https://ror.org/01km6p862 GRID:grid.43519.3a United Arab Emirates U. United Arab Emirates University, Al Ain, United Arab Emirates Nass, Christian ORCID:0000-0002-8098-4948 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Navarro, Gabriela Alejandra INSPIRE-00221017 ORCID:0000-0002-5108-0042 ROR:https://ror.org/014hpw227 GRID:grid.440783.c Antonio Narino U. Facultad de Ciencias y Centro de Investigaciónes, Universidad Antonio Nariño, Bogotá, Colombia Navarro Gonzalez, Josep ORCID:0000-0002-4172-7965 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Nayaz, Abdullah ORCID:0000-0003-1418-3437 ROR:https://ror.org/01hcx6992 GRID:grid.7468.d Humboldt U., Berlin Institut für Physik, Humboldt Universität zu Berlin, Berlin, Germany Nechaeva, Polina INSPIRE-00221047 ORCID:0000-0002-5910-4117 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Nechaeva, Serafima ORCID:0000-0002-0623-9034 ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Nechansky, Filip INSPIRE-00549104 ORCID:0000-0002-2684-9024 GRID:grid.424881.3 ROR:https://ror.org/04jymbd90 GRID:grid.425110.3 Prague, Inst. Phys. Institute of Physics of the Czech Academy of Sciences, Prague, Czech Republic Nedic, Luka ORCID:0000-0002-7672-7367 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Neep, Thomas James INSPIRE-00286870 ORCID:0000-0003-0056-8651 ROR:https://ror.org/03angcq70 GRID:grid.6572.6 Birmingham U. School of Physics and Astronomy, University of Birmingham, Birmingham, UK Negri, Andrea INSPIRE-00306082 ORCID:0000-0002-7386-901X GRID:grid.470213.3 ROR:https://ror.org/00s6t1f81 GRID:grid.8982.b INFN, Pavia Pavia U. INFN Sezione di Pavia, Pavia, Italy Dipartimento di Fisica, Università di Pavia, Pavia, Italy Negrini, Matteo INSPIRE-00054399 ORCID:0000-0003-0101-6963 GRID:grid.470193.8 ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Sezione di Bologna, Bologna, Italy Nellist, Clara INSPIRE-00304438 ORCID:0000-0002-5171-8579 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Nelson, Christina ORCID:0000-0002-5713-3803 ROR:https://ror.org/01pxwe438 GRID:grid.14709.3b McGill U. Department of Physics, McGill University, Montreal, QC, Canada Nelson, Kevin Michael ORCID:0000-0003-4194-1790 ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Nemecek, Stanislav INSPIRE-00110909 ORCID:0000-0001-8978-7150 GRID:grid.424881.3 ROR:https://ror.org/04jymbd90 GRID:grid.425110.3 Prague, Inst. Phys. Institute of Physics of the Czech Academy of Sciences, Prague, Czech Republic Nessi, Marzio INSPIRE-00221084 ORCID:0000-0001-7316-0118 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 CERN Geneva U. CERN, Geneva, Switzerland Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Neubauer, Mark INSPIRE-00110982 ORCID:0000-0001-8434-9274 ROR:https://ror.org/047426m28 GRID:grid.35403.31 Illinois U., Urbana Department of Physics, University of Illinois, Urbana, IL, USA Newell, Joshua ORCID:0000-0001-6917-2802 ROR:https://ror.org/04xs57h96 GRID:grid.10025.36 Liverpool U. Oliver Lodge Laboratory, University of Liverpool, Liverpool, UK Newman, Paul Richard INSPIRE-00111158 ORCID:0000-0002-6252-266X ROR:https://ror.org/03angcq70 GRID:grid.6572.6 Birmingham U. School of Physics and Astronomy, University of Birmingham, Birmingham, UK Ng, Yvonne INSPIRE-00529596 ORCID:0000-0001-9135-1321 ROR:https://ror.org/047426m28 GRID:grid.35403.31 Illinois U., Urbana Department of Physics, University of Illinois, Urbana, IL, USA Ngair, Badr-Eddine INSPIRE-00699623 ORCID:0000-0002-5807-8535 ROR:https://ror.org/00e5k0821 GRID:grid.440573.1 New York U., Abu Dhabi New York University Abu Dhabi, Abu Dhabi, United Arab Emirates Nguyen, Hoang Dai Nghia INSPIRE-00575780 ORCID:0000-0002-4326-9283 ROR:https://ror.org/0161xgx34 GRID:grid.14848.31 Montreal U. Group of Particle Physics, University of Montreal, Montreal, QC, Canada Nichols, J.D. ORCID:0009-0004-4809-0583 ROR:https://ror.org/02aqsxs83 GRID:grid.266900.b Oklahoma U. Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, OK, USA Nickerson, Richard INSPIRE-00221121 ORCID:0000-0002-2157-9061 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Nikolaidou, Rosy INSPIRE-00216944 ORCID:0000-0003-3723-1745 ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Nielsen, Jason INSPIRE-00111400 ORCID:0000-0002-9175-4419 ROR:https://ror.org/03s65by71 GRID:grid.205975.c UC, Santa Cruz Santa Cruz Institute for Particle Physics, University of California Santa Cruz, Santa Cruz, CA, USA Niemeyer, Marcel ORCID:0000-0003-4222-8284 ROR:https://ror.org/01y9bpm73 GRID:grid.7450.6 Gottingen U., II. Phys. Inst. II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany Niermann, Joana ORCID:0000-0003-0069-8907 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Nikiforou, Nikiforos INSPIRE-00237074 ORCID:0000-0003-1267-7740 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Nikolaenko, Vladimir INSPIRE-00231894 ORCID:0000-0001-6545-1820 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Nikolic-Audit, I. INSPIRE-00306103 ORCID:0000-0003-1681-1118 GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Nilsson, Paul INSPIRE-00221150 ORCID:0000-0002-6848-7463 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Ninca, Ilona-Stefana ORCID:0000-0001-8158-8966 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Ninio, Gadi ORCID:0000-0003-4014-7253 ROR:https://ror.org/04mhzgx49 GRID:grid.12136.37 Tel Aviv U. Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv, Israel Nisati, Aleandro INSPIRE-00221160 ORCID:0000-0002-5080-2293 GRID:grid.470218.8 ROR:https://ror.org/05eva6s33 INFN, Rome INFN Sezione di Roma, Rome, Italy Nisius, Richard INSPIRE-00111714 ORCID:0000-0003-2257-0074 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Nitika, Nitika ORCID:0000-0003-0576-3122 ROR:https://ror.org/05ht0mh31 GRID:grid.5390.f INFN, Udine Udine U. INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy Dipartimento Politecnico di Ingegneria e Architettura, Università di Udine, Udine, Italy Nitschke, Jan-Eric ORCID:0000-0002-0174-4816 ROR:https://ror.org/042aqky30 GRID:grid.4488.0 Dresden, Tech. U. Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany Nkadimeng, Edward Khomotso ORCID:0000-0003-0800-7963 ROR:https://ror.org/002kje223 GRID:grid.462638.d iThemba LABS iThemba Labs, Western Cape, South Africa Nobe, Takuya INSPIRE-00286888 ORCID:0000-0002-5809-325X ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Noll, Dennis Daniel Nick ORCID:0000-0002-0176-2360 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Nommensen, Thomas ORCID:0000-0002-4542-6385 ROR:https://ror.org/0384j8v12 GRID:grid.1013.3 Sydney U. School of Physics, University of Sydney, Sydney, Australia Norfolk, Mitch ORCID:0000-0001-7984-5783 ROR:https://ror.org/05krs5044 GRID:grid.11835.3e Sheffield U. Department of Physics and Astronomy, University of Sheffield, Sheffield, UK Norman, Bryce John ORCID:0000-0002-5736-1398 ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Noury, Meryem ORCID:0000-0003-0371-1521 ROR:https://ror.org/001q4kn48 GRID:grid.412148.a Casablanca U. Faculté des Sciences Ain Chock, Université Hassan II de Casablanca, Casablanca, Morocco Novak, Jakob ORCID:0000-0002-3195-8903 GRID:grid.8954.0 ROR:https://ror.org/05060sz93 GRID:grid.11375.31 Stefan Inst., Ljubljana Department of Experimental Particle Physics, Jožef Stefan Institute and Department of Physics, University of Ljubljana, Ljubljana, Slovenia Novak, Tadej INSPIRE-00576909 ORCID:0000-0002-3053-0913 GRID:grid.8954.0 ROR:https://ror.org/05060sz93 GRID:grid.11375.31 Stefan Inst., Ljubljana Department of Experimental Particle Physics, Jožef Stefan Institute and Department of Physics, University of Ljubljana, Ljubljana, Slovenia Novotny, Radek INSPIRE-00571923 ORCID:0000-0002-1630-694X ROR:https://ror.org/03kqpb082 GRID:grid.6652.7 Prague, Tech. U. Czech Technical University in Prague, Prague, Czech Republic Nozka, Libor INSPIRE-00152530 ORCID:0000-0002-8774-7099 ROR:https://ror.org/04qxnmv42 GRID:grid.10979.36 Palacky U. Palacký University, Joint Laboratory of Optics, Olomouc, Czech Republic Ntekas, Kostas INSPIRE-00349891 ORCID:0000-0001-9252-6509 ROR:https://ror.org/04gyf1771 GRID:grid.266093.8 UC, Irvine Department of Physics and Astronomy, University of California Irvine, Irvine, CA, USA Nunes De Moura, Natanael, Junior. ORCID:0000-0003-0828-6085 ROR:https://ror.org/03490as77 GRID:grid.8536.8 Rio de Janeiro Federal U. Universidade Federal do Rio de Janeiro COPPE/EE/IF, Rio de Janeiro, Brazil Ocariz, Jose Humberto INSPIRE-00112459 ORCID:0000-0003-2262-0780 GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Ochi, Atsuhiko INSPIRE-00112469 ORCID:0000-0002-2024-5609 ROR:https://ror.org/03tgsfw79 GRID:grid.31432.37 Kobe U. Graduate School of Science, Kobe University, Kobe, Japan Ochoa, Ines INSPIRE-00335577 ORCID:0000-0001-6156-1790 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 LIP, Lisbon Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Ordek, Serhat INSPIRE-00639230 ORCID:0000-0001-8763-0096 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a GRID:grid.9026.d DESY Hamburg U. Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Institut für Experimentalphysik, Universität Hamburg, Hamburg, Germany Offermann, Jan Tuzlic ORCID:0000-0002-6468-518X ROR:https://ror.org/024mw5h28 GRID:grid.170205.1 Chicago U., EFI Enrico Fermi Institute, University of Chicago, Chicago, IL, USA Ogrodnik, Agnieszka Ewa INSPIRE-00654265 ORCID:0000-0002-6025-4833 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Oh, Alexander INSPIRE-00320498 ORCID:0000-0001-9025-0422 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Ohm, Christian INSPIRE-00221275 ORCID:0000-0002-8015-7512 ROR:https://ror.org/026vcq606 GRID:grid.5037.1 Royal Inst. Tech., Stockholm Department of Physics, Royal Institute of Technology, Stockholm, Sweden Oide, Hideyuki INSPIRE-00379657 ORCID:0000-0002-2173-3233 ROR:https://ror.org/01g5y5k24 GRID:grid.410794.f KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Ojeda, Martina Laura INSPIRE-00641151 ORCID:0000-0002-3834-7830 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Okumura, Yasuyuki INSPIRE-00221310 ORCID:0000-0002-7613-5572 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Seabra, L.F.Oleiro INSPIRE-00514541 ORCID:0000-0002-9320-8825 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 LIP, Lisbon Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Oleksiyuk, Ivan ORCID:0000-0002-4784-6340 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Oliveira Correa, Gabriel ORCID:0000-0003-0700-0030 ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Oliveira Damazio, Denis INSPIRE-00221335 ORCID:0000-0002-8601-2074 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Oliver, Jason INSPIRE-00567172 ORCID:0000-0002-0713-6627 ROR:https://ror.org/04gyf1771 GRID:grid.266093.8 UC, Irvine Department of Physics and Astronomy, University of California Irvine, Irvine, CA, USA Omar, Rabia ORCID:0009-0002-5222-3057 GRID:grid.411377.7 ROR:https://ror.org/01kg8sb98 GRID:grid.257410.5 Indiana U. Department of Physics, Indiana University, Bloomington, IN, USA Öncel, Ö. O. ORCID:0000-0001-8772-1705 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany O'Neill, Aaron Paul ORCID:0000-0002-8104-7227 ROR:https://ror.org/02k7v4d05 GRID:grid.5734.5 Bern U., LHEP Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics, University of Bern, Bern, Switzerland Onofre, Antonio INSPIRE-00221372 ORCID:0000-0003-3471-2703 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 ROR:https://ror.org/037wpkx04 GRID:grid.10328.38 LIP, Lisbon Minho U. n/a Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Departamento de Física, Escola de Ciências, Universidade do Minho, Braga, Portugal Centre of Physics of the Universities of Minho and Porto (CF-UM-UP), Gualtar, Portugal Onyisi, P.U.E. INSPIRE-00057397 ORCID:0000-0003-4201-7997 ROR:https://ror.org/00hj54h04 GRID:grid.89336.37 Texas U. Department of Physics, University of Texas at Austin, Austin, TX, USA Oreglia, Mark INSPIRE-00113317 ORCID:0000-0001-6203-2209 ROR:https://ror.org/024mw5h28 GRID:grid.170205.1 Chicago U., EFI Enrico Fermi Institute, University of Chicago, Chicago, IL, USA Orestano, Domizia INSPIRE-00113321 ORCID:0000-0001-5103-5527 GRID:grid.470220.3 ROR:https://ror.org/05vf0dg29 GRID:grid.8509.4 Rome III U. INFN Sezione di Roma Tre, Rome, Italy Dipartimento di Matematica e Fisica, Università Roma Tre, Rome, Italy Orlandini, Romano ORCID:0009-0001-3418-0666 GRID:grid.470220.3 ROR:https://ror.org/05vf0dg29 GRID:grid.8509.4 Rome III U. INFN Sezione di Roma Tre, Rome, Italy Dipartimento di Matematica e Fisica, Università Roma Tre, Rome, Italy Orr, Robert INSPIRE-00113411 ORCID:0000-0002-8690-9746 ROR:https://ror.org/03dbr7087 GRID:grid.17063.33 Toronto U. Department of Physics, University of Toronto, Toronto, ON, Canada Osojnak, Lauren Melissa ORCID:0000-0002-9538-0514 ROR:https://ror.org/00b30xv10 GRID:grid.25879.31 Pennsylvania U. Department of Physics, University of Pennsylvania, Philadelphia, PA, USA Osumi, Yuya ORCID:0009-0001-4684-5987 ROR:https://ror.org/04chrp450 GRID:grid.27476.30 Nagoya U. Graduate School of Science and Kobayashi-Maskawa Institute, Nagoya University, Nagoya, Japan Otero Y Garzon, Gustavo INSPIRE-00046137 ORCID:0000-0003-4803-5280 GRID:grid.531657.3 ROR:https://ror.org/0081fs513 GRID:grid.7345.5 Buenos Aires U. Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Física, y CONICET, Instituto de Física de Buenos Aires (IFIBA), Buenos Aires, Argentina Otono, Hidetoshi INSPIRE-00348488 ORCID:0000-0003-0760-5988 ROR:https://ror.org/00p4k0j84 GRID:grid.177174.3 Kyushu U. Research Center for Advanced Particle Physics and Department of Physics, Kyushu University, Fukuoka, Japan Ouchrif, Mohamed INSPIRE-00232012 ORCID:0000-0002-2954-1420 ROR:https://ror.org/01ejxf797 GRID:grid.410890.4 Oujda U. LPMR, Faculté des Sciences, Université Mohamed Premier, Oujda, Morocco Ould-Saada, Farid INSPIRE-00221439 ORCID:0000-0002-9404-835X ROR:https://ror.org/01xtthb56 GRID:grid.5510.1 Oslo U. Department of Physics, University of Oslo, Oslo, Norway Ovsiannikova, Tatiana ORCID:0000-0002-3890-9426 GRID:grid.34477.33 ROR:https://ror.org/03d17d270 GRID:grid.504155.0 Washington U., Seattle Department of Physics, University of Washington, Seattle, WA, USA Owen, Mark Andrew INSPIRE-00007985 ORCID:0000-0001-6820-0488 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Owen, Rhys Edward INSPIRE-00390165 ORCID:0000-0002-2684-1399 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Rutherford Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Ozcan, Erkcan INSPIRE-00221480 ORCID:0000-0003-4643-6347 ROR:https://ror.org/03z9tma90 GRID:grid.11220.30 Bogazici U. Department of Physics, Bogazici University, Istanbul, Türkiye Ozturk, Ferhat ORCID:0000-0003-2481-8176 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Ozturk, Nurcan INSPIRE-00026861 ORCID:0000-0003-1125-6784 ROR:https://ror.org/019kgqr73 GRID:grid.267315.4 Texas U., Arlington Department of Physics, University of Texas at Arlington, Arlington, TX, USA Ozturk, Sertac ORCID:0000-0001-6533-6144 ROR:https://ror.org/03081nz23 GRID:grid.508740.e Istinye U., Istanbul Istinye University, Sariyer, Istanbul, Türkiye Pacey, Holly INSPIRE-00583997 ORCID:0000-0002-2325-6792 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Pachal, Katherine INSPIRE-00337371 ORCID:0000-0002-8332-243X ROR:https://ror.org/03kgj4539 GRID:grid.232474.4 TRIUMF TRIUMF, Vancouver, BC, Canada Pacheco Pages, Andreu INSPIRE-00221495 ORCID:0000-0001-8210-1734 ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Padilla Aranda, Cristobal INSPIRE-00306128 ORCID:0000-0001-7951-0166 ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Padovano, Giovanni ORCID:0000-0003-0014-3901 GRID:grid.470218.8 ROR:https://ror.org/02be6w209 GRID:grid.7841.a INFN, Rome Rome U. INFN Sezione di Roma, Rome, Italy Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy Pagan Griso, Simone INSPIRE-00022647 ORCID:0000-0003-0999-5019 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Palacino, Gabriel INSPIRE-00237152 ORCID:0000-0003-0278-9941 GRID:grid.411377.7 ROR:https://ror.org/01kg8sb98 GRID:grid.257410.5 Indiana U. Department of Physics, Indiana University, Bloomington, IN, USA Palazzo, Alessandra ORCID:0000-0001-9794-2851 GRID:grid.470680.d ROR:https://ror.org/03fc1k060 GRID:grid.9906.6 INFN, Lecce Salento U. INFN Sezione di Lecce, Lecce, Italy Dipartimento di Matematica e Fisica, Università del Salento, Lecce, Italy Pampel, Jonathan ORCID:0000-0001-8648-4891 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Pan, Jingjing ORCID:0000-0002-0664-9199 ROR:https://ror.org/03v76x132 GRID:grid.47100.32 Yale U. Department of Physics, Yale University, New Haven, CT, USA Pan, Tong ORCID:0000-0002-4700-1516 ROR:https://ror.org/00t33hh48 GRID:grid.10784.3a Hong Kong, Chinese U. Department of Physics, Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China Panchal, D.K. ORCID:0000-0001-5732-9948 ROR:https://ror.org/00hj54h04 GRID:grid.89336.37 Texas U. Department of Physics, University of Texas at Austin, Austin, TX, USA Pandini, Carlo INSPIRE-00388516 ORCID:0000-0003-3838-1307 GRID:grid.5676.2 ROR:https://ror.org/03f0apy98 GRID:grid.472561.3 LPSC, Grenoble LPSC, Université Grenoble Alpes, CNRS/IN2P3, Grenoble INP, Grenoble, France Vazquez, J.G.Panduro ORCID:0000-0003-2605-8940 GRID:grid.76978.37 ROR:https://ror.org/03gq8fr08 Rutherford Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Pandya, Hitarthi Deepak ORCID:0000-0002-1199-945X ROR:https://ror.org/00892tw58 GRID:grid.1010.0 Adelaide U. Department of Physics, University of Adelaide, Adelaide, Australia Pang, Hao ORCID:0000-0002-1946-1769 ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Pani, Priscilla INSPIRE-00291943 ORCID:0000-0003-2149-3791 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Panizzo, Giancarlo INSPIRE-00584000 ORCID:0000-0002-0352-4833 ROR:https://ror.org/05ht0mh31 GRID:grid.5390.f INFN, Udine Udine U. INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy Dipartimento Politecnico di Ingegneria e Architettura, Università di Udine, Udine, Italy Panwar, Lata ORCID:0000-0003-2461-4907 GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Paolozzi, Lorenzo INSPIRE-00349900 ORCID:0000-0002-9281-1972 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Parajuli, Santosh INSPIRE-00653538 ORCID:0000-0003-1499-3990 ROR:https://ror.org/047426m28 GRID:grid.35403.31 Illinois U., Urbana Department of Physics, University of Illinois, Urbana, IL, USA Paramonov, Alexander INSPIRE-00040880 ORCID:0000-0002-6492-3061 ROR:https://ror.org/05gvnxz63 GRID:grid.187073.a Argonne High Energy Physics Division, Argonne National Laboratory, Argonne, IL, USA Paraskevopoulos, Christos ORCID:0000-0002-2858-9182 ROR:https://ror.org/049jf1a25 GRID:grid.463190.9 Frascati INFN e Laboratori Nazionali di Frascati, Frascati, Italy Paredes Hernandez, Daniela Katherinne INSPIRE-00286969 ORCID:0000-0002-3179-8524 ROR:https://ror.org/02zhqgq86 GRID:grid.194645.b Hong Kong U. Department of Physics, University of Hong Kong, Hong Kong, China Pareti, Andrea ORCID:0000-0003-3028-4895 GRID:grid.470213.3 ROR:https://ror.org/00s6t1f81 GRID:grid.8982.b INFN, Pavia Pavia U. INFN Sezione di Pavia, Pavia, Italy Dipartimento di Fisica, Università di Pavia, Pavia, Italy Park, Ki Ryeong ORCID:0009-0003-6804-4288 ROR:https://ror.org/00hj8s172 GRID:grid.21729.3f Nevis Labs, Columbia U. Nevis Laboratory, Columbia University, Irvington, NY, USA Park, Tae Hyoun INSPIRE-00646015 ORCID:0000-0002-1910-0541 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Parodi, Fabrizio INSPIRE-00339598 ORCID:0000-0002-7160-4720 GRID:grid.5606.5 ROR:https://ror.org/02v89pq06 GRID:grid.470205.4 INFN, Genoa Genoa U. Dipartimento di Fisica, Università di Genova, Genoa, Italy INFN Sezione di Genova, Genoa, Italy Parsons, John INSPIRE-00114789 ORCID:0000-0002-9470-6017 ROR:https://ror.org/00hj8s172 GRID:grid.21729.3f Nevis Labs, Columbia U. Nevis Laboratory, Columbia University, Irvington, NY, USA Parzefall, Ulrich INSPIRE-00114827 ORCID:0000-0002-4858-6560 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Dias, B.Pascual ORCID:0000-0002-7673-1067 GRID:grid.433124.3 ROR:https://ror.org/0214k6v65 GRID:grid.470921.9 Clermont-Ferrand U. LPC, Université Clermont Auvergne, CNRS/IN2P3, Clermont-Ferrand, France Pascual Dominguez, Luis INSPIRE-00653119 ORCID:0000-0003-4701-9481 ROR:https://ror.org/01cby8j38 GRID:grid.5515.4 Madrid, Autonoma U. Departamento de Física Teorica C-15 and CIAFF, Universidad Autónoma de Madrid, Madrid, Spain Pasqualucci, Enrico INSPIRE-00221595 ORCID:0000-0001-8160-2545 GRID:grid.470218.8 ROR:https://ror.org/05eva6s33 INFN, Rome INFN Sezione di Roma, Rome, Italy Passaggio, Stefano INSPIRE-00114912 ORCID:0000-0001-9200-5738 GRID:grid.470205.4 ROR:https://ror.org/02v89pq06 INFN, Genoa INFN Sezione di Genova, Genoa, Italy Pastore, Francesca INSPIRE-00221618 ORCID:0000-0001-5962-7826 ROR:https://ror.org/04g2vpn86 GRID:grid.4970.a Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham, UK Patel, Pragati ORCID:0000-0002-7467-2470 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Patel, Utsav Mukesh ORCID:0000-0001-5191-2526 ROR:https://ror.org/00py81415 GRID:grid.26009.3d Duke U. Department of Physics, Duke University, Durham, NC, USA Pater, J.R. INSPIRE-00221668 ORCID:0000-0002-0598-5035 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Pauly, Thilo INSPIRE-00221680 ORCID:0000-0001-9082-035X ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Pauwels, Franciszek ORCID:0000-0001-5950-8018 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Pazos, Camila ORCID:0000-0001-8533-3805 ROR:https://ror.org/05wvpxv85 GRID:grid.429997.8 Tufts U. Department of Physics and Astronomy, Tufts University, Medford, MA, USA Pedersen, Maiken INSPIRE-00298350 ORCID:0000-0003-4281-0119 ROR:https://ror.org/01xtthb56 GRID:grid.5510.1 Oslo U. Department of Physics, University of Oslo, Oslo, Norway Pedro, Rute INSPIRE-00357018 ORCID:0000-0002-7139-9587 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 LIP, Lisbon Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Peleganchuk, Sergey INSPIRE-00221714 ORCID:0000-0003-0907-7592 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Penc, Ondrej INSPIRE-00408388 ORCID:0000-0002-5433-3981 GRID:grid.424881.3 ROR:https://ror.org/04jymbd90 GRID:grid.425110.3 Prague, Inst. Phys. Institute of Physics of the Czech Academy of Sciences, Prague, Czech Republic Pender, Emily Alexandra ORCID:0009-0002-8629-4486 ROR:https://ror.org/01nrxwf90 GRID:grid.4305.2 Edinburgh U. SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK Peng, Shaogang ORCID:0009-0009-9369-5537 ROR:https://ror.org/03cve4549 GRID:grid.12527.33 Tsinghua U., Beijing Physics Department, Tsinghua University, Beijing, China Penn, Gregory Douglas ORCID:0000-0002-6956-9970 ROR:https://ror.org/03v76x132 GRID:grid.47100.32 Yale U. Department of Physics, Yale University, New Haven, CT, USA Penski, Katrin Elisabeth ORCID:0000-0002-8082-424X ROR:https://ror.org/05591te55 GRID:grid.5252.0 Munich U. Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany Penzin, Maksim ORCID:0000-0002-0928-3129 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Sotto-Maior Peralva, Bernardo INSPIRE-00517880 ORCID:0000-0003-1664-5658 ROR:https://ror.org/0198v2949 GRID:grid.412211.5 Rio de Janeiro State U. Rio de Janeiro State University, Rio de Janeiro, Brazil Peixoto, A.P.Pereira INSPIRE-00576910 ORCID:0000-0003-3424-7338 GRID:grid.34477.33 ROR:https://ror.org/03d17d270 GRID:grid.504155.0 Washington U., Seattle Department of Physics, University of Washington, Seattle, WA, USA Pereira Sanchez, Laura ORCID:0000-0001-7913-3313 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Perepelitsa, Dennis INSPIRE-00342739 ORCID:0000-0001-8732-6908 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 ROR:https://ror.org/02ttsq026 GRID:grid.266190.a Brookhaven Colorado U. Physics Department, Brookhaven National Laboratory, Upton, NY, USA Department of Physics, University of Colorado, Boulder, CO, USA Perera, G. Shani Nimeshika ORCID:0000-0001-7292-2547 ROR:https://ror.org/0072zz521 GRID:grid.266683.f Massachusetts U., Amherst Department of Physics, University of Massachusetts, Amherst, MA, USA Perez Codina, Estel INSPIRE-00221766 ORCID:0000-0003-0426-6538 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Perganti, Maria ORCID:0000-0003-3451-9938 ROR:https://ror.org/03cx6bg69 GRID:grid.4241.3 Natl. Tech. U., Athens Physics Department, National Technical University of Athens, Zografou, Greece Pernegger, Heinz INSPIRE-00115755 ORCID:0000-0001-6418-8784 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Perrella, Sabrina INSPIRE-00377109 ORCID:0000-0003-4955-5130 GRID:grid.470218.8 ROR:https://ror.org/02be6w209 GRID:grid.7841.a INFN, Rome Rome U. INFN Sezione di Roma, Rome, Italy Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy Peters, Krisztian INSPIRE-00055152 ORCID:0000-0002-7654-1677 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Peters, Reinhild INSPIRE-00008252 ORCID:0000-0003-1702-7544 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Petersen, Brian INSPIRE-00115959 ORCID:0000-0002-7380-6123 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Petersen, Troels INSPIRE-00221831 ORCID:0000-0003-0221-3037 ROR:https://ror.org/035b05819 GRID:grid.5254.6 Bohr Inst. Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark Petit, Elisabeth INSPIRE-00221840 ORCID:0000-0002-3059-735X ROR:https://ror.org/00fw8bp86 GRID:grid.470046.1 Marseille, CPPM CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France Petousis, Vlasios ORCID:0000-0002-5575-6476 ROR:https://ror.org/03kqpb082 GRID:grid.6652.7 Prague, Tech. U. Czech Technical University in Prague, Prague, Czech Republic Petri, Anna Raquel ORCID:0009-0004-0664-7048 ROR:https://ror.org/04w4m6z96 GRID:grid.470206.7 GRID:grid.4708.b INFN, Milan Milan U. INFN Sezione di Milano, Milan, Italy Dipartimento di Fisica, Università di Milano, Milan, Italy Petridou, Chariclia INSPIRE-00116033 ORCID:0000-0001-5957-6133 ROR:https://ror.org/02j61yw88 GRID:grid.4793.9 Aristotle U., Thessaloniki N/A Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Petru, Tadeas ORCID:0000-0003-4903-9419 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Petrukhin, Alexey ORCID:0000-0003-0533-2277 ROR:https://ror.org/02azyry73 GRID:grid.5836.8 Siegen U. Department Physik, Universität Siegen, Siegen, Germany Pettee, Mariel INSPIRE-00584029 ORCID:0000-0001-9208-3218 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Petukhov, Aleksandr ORCID:0000-0002-8126-9575 ROR:https://ror.org/03081nz23 GRID:grid.508740.e Istinye U., Istanbul Istinye University, Sariyer, Istanbul, Türkiye Petukhova, K. ORCID:0000-0002-0654-8398 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN CERN, Geneva, Switzerland Pezoa Rivera, Raquel INSPIRE-00221890 ORCID:0000-0003-3344-791X ROR:https://ror.org/05510vn56 GRID:grid.12148.3e Santa Maria U., Valparaiso Departamento de Física, Universidad Técnica Federico Santa María, Valparaíso, Chile Pezzotti, Lorenzo ORCID:0000-0002-3802-8944 ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Pezzullo, Gianantonio ORCID:0000-0002-6653-1555 ROR:https://ror.org/03v76x132 GRID:grid.47100.32 Yale U. Department of Physics, Yale University, New Haven, CT, USA Pfaffenbichler, Lukas ORCID:0009-0004-0256-0762 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Pfleger, Alexander J. ORCID:0000-0001-5524-7738 ROR:https://ror.org/054pv6659 GRID:grid.5771.4 Innsbruck U. Department of Astro and Particle Physics, Universität Innsbruck, Innsbruck, Austria Pham, Minh Tuan ORCID:0000-0003-2436-6317 GRID:grid.28803.31 ROR:https://ror.org/01y2jtd41 GRID:grid.14003.36 Wisconsin U., Madison Department of Physics, University of Wisconsin, Madison, WI, USA Pham, T. ORCID:0000-0002-8859-1313 GRID:grid.1008.9 ROR:https://ror.org/01ej9dk98 Melbourne U. School of Physics, University of Melbourne, Victoria, Australia Phillips, Peter INSPIRE-00116199 ORCID:0000-0003-3651-4081 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Rutherford Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Piacquadio, Giacinto INSPIRE-00221917 ORCID:0000-0002-4531-2900 ROR:https://ror.org/05qghxh33 GRID:grid.36425.36 SUNY, Stony Brook Departments of Physics and Astronomy, Stony Brook University, Stony Brook, NY, USA Pianori, Elisabetta INSPIRE-00009958 ORCID:0000-0001-9233-5892 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Piazza, Federica ORCID:0000-0002-3664-8912 ROR:https://ror.org/0293rh119 GRID:grid.170202.6 Oregon U. Institute for Fundamental Science, University of Oregon, Eugene, OR, USA Piegaia, Ricardo INSPIRE-00152829 ORCID:0000-0001-7850-8005 GRID:grid.531657.3 ROR:https://ror.org/0081fs513 GRID:grid.7345.5 Buenos Aires U. Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Física, y CONICET, Instituto de Física de Buenos Aires (IFIBA), Buenos Aires, Argentina Pietreanu, Dorel INSPIRE-00655984 ORCID:0000-0003-1381-5949 ROR:https://ror.org/00d3pnh21 GRID:grid.443874.8 Bucharest, IFIN-HH Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania Pilkington, Andrew INSPIRE-00221938 ORCID:0000-0001-8007-0778 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Pinamonti, Michele INSPIRE-00221947 ORCID:0000-0002-5282-5050 ROR:https://ror.org/05ht0mh31 GRID:grid.5390.f INFN, Udine Udine U. INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy Dipartimento Politecnico di Ingegneria e Architettura, Università di Udine, Udine, Italy Pinfold, James INSPIRE-00116512 ORCID:0000-0002-2397-4196 ROR:https://ror.org/0160cpw27 GRID:grid.17089.37 Alberta U. Department of Physics, University of Alberta, Edmonton, AB, Canada Pereira, B.C.Pinheiro ORCID:0000-0002-9639-7887 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 LIP, Lisbon Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Pinol Bel, Joaquim ORCID:0000-0001-8524-1257 ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Pinto Pinoargote, Andres Eloy ORCID:0000-0001-9616-1690 GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Pintucci, Laura ORCID:0000-0001-9842-9830 ROR:https://ror.org/05ht0mh31 GRID:grid.5390.f INFN, Udine Udine U. INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy Dipartimento Politecnico di Ingegneria e Architettura, Università di Udine, Udine, Italy Piper, Katie ORCID:0000-0002-7669-4518 ROR:https://ror.org/00ayhx656 GRID:grid.12082.39 Sussex U. Department of Physics and Astronomy, University of Sussex, Brighton, UK Pirttikoski, Antti ORCID:0009-0002-3707-1446 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Pizzi, Dylan ORCID:0000-0001-5193-1567 ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Pizzimento, Luca INSPIRE-00646556 ORCID:0000-0002-1814-2758 ROR:https://ror.org/02zhqgq86 GRID:grid.194645.b Hong Kong U. Department of Physics, University of Hong Kong, Hong Kong, China Plebani, Alberto ORCID:0009-0002-2174-7675 ROR:https://ror.org/013meh722 GRID:grid.5335.0 Cambridge U. Cavendish Laboratory, University of Cambridge, Cambridge, UK Pleier, Marc-Andre INSPIRE-00046720 ORCID:0000-0002-9461-3494 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Pleskot, Vojtech INSPIRE-00335597 ORCID:0000-0001-5435-497X ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Plotnikova, Elena INSPIRE-00237193 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Poddar, Gitanjali ORCID:0000-0001-7424-4161 ROR:https://ror.org/026zzn846 GRID:grid.4868.2 Queen Mary, U. of London Department of Physics and Astronomy, Queen Mary University of London, London, UK Pottgen, Ruth INSPIRE-00335606 ORCID:0000-0002-3304-0987 ROR:https://ror.org/012a77v79 GRID:grid.4514.4 Lund U. Fysiska institutionen, Lunds universitet, Lund, Sweden Poggioli, Luc INSPIRE-00221996 ORCID:0000-0003-3210-6646 GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Polacek, Stanislav ORCID:0000-0002-9929-9713 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Polesello, Giacomo INSPIRE-00117049 ORCID:0000-0001-8636-0186 GRID:grid.470213.3 ROR:https://ror.org/01st30669 INFN, Pavia INFN Sezione di Pavia, Pavia, Italy Poley, Anne-Luise INSPIRE-00407830 ORCID:0000-0002-4063-0408 ROR:https://ror.org/0213rcc28 GRID:grid.61971.38 Simon Fraser U. Department of Physics, Simon Fraser University, Burnaby, BC, Canada Polini, Alessandro INSPIRE-00172064 ORCID:0000-0002-4986-6628 GRID:grid.470193.8 ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Sezione di Bologna, Bologna, Italy Pollard, Chris INSPIRE-00345073 ORCID:0000-0002-3690-3960 ROR:https://ror.org/01a77tt86 GRID:grid.7372.1 Warwick U. Department of Physics, University of Warwick, Coventry, UK Pollock, Zachary ORCID:0000-0001-6285-0658 ROR:https://ror.org/00rs6vg23 GRID:grid.261331.4 Ohio State U. Ohio State University, Columbus, OH, USA Pompa Pacchi, Elena ORCID:0000-0003-4528-6594 ROR:https://ror.org/02aqsxs83 GRID:grid.266900.b Oklahoma U. Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, OK, USA Pond, Nikita Ivvan ORCID:0000-0002-5966-0332 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Ponomarenko, Daniil INSPIRE-00537808 ORCID:0000-0003-4213-1511 GRID:grid.411377.7 ROR:https://ror.org/01kg8sb98 GRID:grid.257410.5 Indiana U. Department of Physics, Indiana University, Bloomington, IN, USA Pontecorvo, Ludovico INSPIRE-00222031 ORCID:0000-0003-2284-3765 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Popa, Stefan INSPIRE-00657172 ORCID:0000-0001-9275-4536 ROR:https://ror.org/01cg9ws23 GRID:grid.5120.6 Transilvania U., Brasov Transilvania University of Brasov, Brasov, Romania Popeneciu, Gabriel INSPIRE-00226844 ORCID:0000-0001-9783-7736 ROR:https://ror.org/05v0gvx94 GRID:grid.435410.7 INCDTIM, Cluj Napoca Physics Department, National Institute for Research and Development of Isotopic and Molecular Technologies, Cluj-Napoca, Romania Poreba, Aleksandra ORCID:0000-0003-1250-0865 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Portillo Quintero, Dilia Maria INSPIRE-00567387 ORCID:0000-0002-7042-4058 ROR:https://ror.org/03kgj4539 GRID:grid.232474.4 TRIUMF TRIUMF, Vancouver, BC, Canada Pospisil, Stanislav INSPIRE-00222085 ORCID:0000-0001-5424-9096 ROR:https://ror.org/03kqpb082 GRID:grid.6652.7 Prague, Tech. U. Czech Technical University in Prague, Prague, Czech Republic Postill, Michael Antony ORCID:0000-0002-0861-1776 ROR:https://ror.org/05krs5044 GRID:grid.11835.3e Sheffield U. Department of Physics and Astronomy, University of Sheffield, Sheffield, UK Postolache, Petronel ORCID:0000-0001-8797-012X ROR:https://ror.org/022kvet57 GRID:grid.8168.7 Cuza U., Iasi Department of Physics, Alexandru Ioan Cuza University of Iasi, Iasi, Romania Potamianos, Karolos INSPIRE-00019188 ORCID:0000-0001-7839-9785 ROR:https://ror.org/01a77tt86 GRID:grid.7372.1 Warwick U. Department of Physics, University of Warwick, Coventry, UK Potepa, Patrycja Anna ORCID:0000-0002-1325-7214 ROR:https://ror.org/00bas1c41 GRID:grid.9922.0 AGH-UST, Cracow AGH University of Krakow, Faculty of Physics and Applied Computer Science, Krakow, Poland Potrap, Igor INSPIRE-00222100 ORCID:0000-0002-0375-6909 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Potter, Tina INSPIRE-00222115 ORCID:0000-0002-9815-5208 ROR:https://ror.org/013meh722 GRID:grid.5335.0 Cambridge U. Potter, C.J. ORCID:0000-0002-9815-5208 GRID:grid.5335.0 ROR:https://ror.org/013meh722 Cambridge U. Cavendish Laboratory, University of Cambridge, Cambridge, UK Potti, Harish INSPIRE-00542110 ORCID:0000-0002-0800-9902 ROR:https://ror.org/0384j8v12 GRID:grid.1013.3 Sydney U. School of Physics, University of Sydney, Sydney, Australia Poveda Torres, Ximo INSPIRE-00222132 ORCID:0000-0001-8144-1964 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Poveda, J. ORCID:0000-0001-8144-1964 GRID:grid.470047.0 ROR:https://ror.org/017xch102 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Pozo Astigarraga, Eukeni INSPIRE-00390254 ORCID:0000-0002-3069-3077 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Pozzi, Ruben ORCID:0009-0009-6693-7895 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Prades Ibanez, Alberto ORCID:0000-0003-1418-2012 GRID:grid.470219.9 ROR:https://ror.org/02p77k626 GRID:grid.6530.0 Rome U., Tor Vergata INFN Sezione di Roma Tor Vergata, Rome, Italy Dipartimento di Fisica, Università di Roma Tor Vergata, Rome, Italy Pradhan, Sudev Rajarshee ORCID:0000-0002-6512-3859 ROR:https://ror.org/05krs5044 GRID:grid.11835.3e Sheffield U. Department of Physics and Astronomy, University of Sheffield, Sheffield, UK Pretel, Jose ORCID:0000-0001-7385-8874 ROR:https://ror.org/04s5mat29 GRID:grid.143640.4 Victoria U. Department of Physics and Astronomy, University of Victoria, Victoria, BC, Canada Price, Darren INSPIRE-00027472 ORCID:0000-0003-2750-9977 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Primavera, Margherita INSPIRE-00117740 ORCID:0000-0002-6866-3818 GRID:grid.470680.d ROR:https://ror.org/00qrf6g60 INFN, Lecce INFN Sezione di Lecce, Lecce, Italy Primomo, Lorenzo ORCID:0000-0002-2699-9444 ROR:https://ror.org/05ht0mh31 GRID:grid.5390.f INFN, Udine Udine U. INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy Dipartimento Politecnico di Ingegneria e Architettura, Università di Udine, Udine, Italy Principe Martin, Miguel Angel ORCID:0000-0002-5085-2717 ROR:https://ror.org/01cby8j38 GRID:grid.5515.4 Madrid, Autonoma U. Departamento de Física Teorica C-15 and CIAFF, Universidad Autónoma de Madrid, Madrid, Spain Privara, Radek ORCID:0000-0002-2239-0586 ROR:https://ror.org/04qxnmv42 GRID:grid.10979.36 Palacky U. Palacký University, Joint Laboratory of Optics, Olomouc, Czech Republic Procter, Tomasz ORCID:0000-0002-6534-9153 ROR:https://ror.org/03bqmcz70 GRID:grid.5522.0 Jagiellonian U. Marian Smoluchowski Institute of Physics, Jagiellonian University, Krakow, Poland Proffitt, Mason INSPIRE-00649335 ORCID:0000-0003-0323-8252 GRID:grid.34477.33 ROR:https://ror.org/03d17d270 GRID:grid.504155.0 Washington U., Seattle Department of Physics, University of Washington, Seattle, WA, USA Proklova, Nadezhda INSPIRE-00537815 ORCID:0000-0002-5237-0201 ROR:https://ror.org/00b30xv10 GRID:grid.25879.31 Pennsylvania U. Department of Physics, University of Pennsylvania, Philadelphia, PA, USA Prokofiev, Kirill INSPIRE-00002760 ORCID:0000-0002-2177-6401 ROR:https://ror.org/00q4vv597 GRID:grid.24515.37 Hong Kong U. Sci. Tech. Department of Physics and Institute for Advanced Study, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China Proto, Giorgia ORCID:0000-0002-3069-7297 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Proudfoot, Jimmy INSPIRE-00117915 ORCID:0000-0003-1032-9945 ROR:https://ror.org/05gvnxz63 GRID:grid.187073.a Argonne High Energy Physics Division, Argonne National Laboratory, Argonne, IL, USA Przybycien, Mariusz INSPIRE-00117955 ORCID:0000-0002-9235-2649 ROR:https://ror.org/00bas1c41 GRID:grid.9922.0 AGH-UST, Cracow AGH University of Krakow, Faculty of Physics and Applied Computer Science, Krakow, Poland Przygoda, Witold Wojciech ORCID:0000-0003-0984-0754 ROR:https://ror.org/03bqmcz70 GRID:grid.5522.0 Jagiellonian U. Marian Smoluchowski Institute of Physics, Jagiellonian University, Krakow, Poland Psallidas, Andreas ORCID:0000-0003-2901-6834 ROR:https://ror.org/038jp4m40 GRID:grid.6083.d Democritos Nucl. Res. Ctr. National Centre for Scientific Research “Demokritos”’, Agia Paraskevi, Greece Puddefoot, Joshua Eldon ORCID:0000-0001-9514-3597 ROR:https://ror.org/05krs5044 GRID:grid.11835.3e Sheffield U. Department of Physics and Astronomy, University of Sheffield, Sheffield, UK Pudzha, Dennis ORCID:0000-0002-7026-1412 ROR:https://ror.org/049jf1a25 GRID:grid.463190.9 Frascati INFN e Laboratori Nazionali di Frascati, Frascati, Italy Purnell, Haylea Isobel ORCID:0009-0007-3263-4103 ROR:https://ror.org/00892tw58 GRID:grid.1010.0 Adelaide U. Department of Physics, University of Adelaide, Adelaide, Australia Pyatiizbyantseva, Diana ORCID:0000-0002-6659-8506 GRID:grid.420012.5 ROR:https://ror.org/016xsfp80 GRID:grid.5590.9 Nijmegen U. Institute for Mathematics, Astrophysics and Particle Physics, Radboud University/Nikhef, Nijmegen, The Netherlands Qian, Jianming INSPIRE-00118167 ORCID:0000-0003-4813-8167 ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Qian, Rongqian ORCID:0009-0007-9342-5284 ROR:https://ror.org/05hs6h993 GRID:grid.17088.36 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA Dong, Qichen ORCID:0000-0002-0117-7831 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Qin, Quake INSPIRE-00367059 ORCID:0000-0002-6960-502X ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Qin, Y. ORCID:0000-0002-6960-502X GRID:grid.473715.3 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Qiu, Tong ORCID:0000-0001-5047-3031 ROR:https://ror.org/01nrxwf90 GRID:grid.4305.2 Edinburgh U. SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK Quadt, Arnulf INSPIRE-00118216 ORCID:0000-0002-0098-384X ROR:https://ror.org/01y9bpm73 GRID:grid.7450.6 Gottingen U., II. Phys. Inst. II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany Queitsch-Maitland, Michaela INSPIRE-00367060 ORCID:0000-0003-4643-515X ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Quetant, Guillaume ORCID:0000-0002-2957-3449 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Quinn, Ryan ORCID:0000-0002-0879-6045 ROR:https://ror.org/03rmrcq20 GRID:grid.17091.3e British Columbia U. Department of Physics, University of British Columbia, Vancouver, BC, Canada Rabanal Bolanos, Gabriel ORCID:0000-0003-1526-5848 ROR:https://ror.org/03vek6s52 GRID:grid.38142.3c Harvard U., Phys. Dept. Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA, USA Rafanoharana, Dimbiniaina ORCID:0000-0002-7151-3343 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Raffaeli, Fabiola ORCID:0000-0002-7728-3278 GRID:grid.470219.9 ROR:https://ror.org/02p77k626 GRID:grid.6530.0 Rome U., Tor Vergata INFN Sezione di Roma Tor Vergata, Rome, Italy Dipartimento di Fisica, Università di Roma Tor Vergata, Rome, Italy Ragusa, Francesco INSPIRE-00194492 ORCID:0000-0002-4064-0489 ROR:https://ror.org/04w4m6z96 GRID:grid.470206.7 GRID:grid.4708.b INFN, Milan Milan U. INFN Sezione di Milano, Milan, Italy Dipartimento di Fisica, Università di Milano, Milan, Italy Rainbolt, Lacey ORCID:0000-0001-7394-0464 ROR:https://ror.org/024mw5h28 GRID:grid.170205.1 Chicago U., EFI Enrico Fermi Institute, University of Chicago, Chicago, IL, USA Rajagopalan, Srini INSPIRE-00222308 ORCID:0000-0001-6543-1520 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Ramakoti, Ekaterina ORCID:0000-0003-4495-4335 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Rambelli, Lucrezia ORCID:0000-0002-9155-9453 GRID:grid.5606.5 ROR:https://ror.org/02v89pq06 GRID:grid.470205.4 INFN, Genoa Genoa U. Dipartimento di Fisica, Università di Genova, Genoa, Italy INFN Sezione di Genova, Genoa, Italy Ramirez-Berend, Ian Alejandro ORCID:0000-0001-5821-1490 ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Ran, Kunlin INSPIRE-00649587 ORCID:0000-0003-3119-9924 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a GRID:grid.410726.6 DESY UCAS, Beijing Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany University of Chinese Academy of Science (UCAS), Beijing, China Rankin, Dylan Sheldon ORCID:0000-0001-8411-9620 ROR:https://ror.org/00b30xv10 GRID:grid.25879.31 Pennsylvania U. Department of Physics, University of Pennsylvania, Philadelphia, PA, USA Rao, Varsha GRID:grid.170205.1 ROR:https://ror.org/02mpq6x41 Illinois U., Chicago Associated to Department of Computer Science, University of Chicago, Chicago, IL, USA Rapheeha, Phuti ORCID:0000-0001-8022-9697 ROR:https://ror.org/03rp50x72 GRID:grid.11951.3d Witwatersrand U. School of Physics, University of the Witwatersrand, Johannesburg, South Africa Rasheed, Hammad ORCID:0000-0001-9234-4465 ROR:https://ror.org/00d3pnh21 GRID:grid.443874.8 Bucharest, IFIN-HH Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania Rassloff, Damir Fabrice ORCID:0000-0002-5756-4558 ROR:https://ror.org/038t36y30 GRID:grid.7700.0 Kirchhoff Inst. Phys. Kirchhoff-Institut für Physik, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Rastogi, Angira ORCID:0000-0003-1245-6710 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Rave, Stefan INSPIRE-00386585 ORCID:0000-0002-0050-8053 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Ravera, Simone ORCID:0000-0002-3976-0985 GRID:grid.5606.5 ROR:https://ror.org/02v89pq06 GRID:grid.470205.4 INFN, Genoa Genoa U. Dipartimento di Fisica, Università di Genova, Genoa, Italy INFN Sezione di Genova, Genoa, Italy Ravina, Baptiste INSPIRE-00577511 ORCID:0000-0002-1622-6640 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Ravinovich, Ilia INSPIRE-00119200 ORCID:0000-0001-9348-4363 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Raymond, Michel INSPIRE-00222353 ORCID:0000-0001-8225-1142 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Read, Alexander Lincoln INSPIRE-00119327 ORCID:0000-0002-5751-6636 ROR:https://ror.org/01xtthb56 GRID:grid.5510.1 Oslo U. Department of Physics, University of Oslo, Oslo, Norway Readioff, Nathan Peter INSPIRE-00368514 ORCID:0000-0002-3427-0688 ROR:https://ror.org/05krs5044 GRID:grid.11835.3e Sheffield U. Department of Physics and Astronomy, University of Sheffield, Sheffield, UK Rebuzzi, Daniela INSPIRE-00222361 ORCID:0000-0003-4461-3880 GRID:grid.470213.3 ROR:https://ror.org/00s6t1f81 GRID:grid.8982.b INFN, Pavia Pavia U. INFN Sezione di Pavia, Pavia, Italy Dipartimento di Fisica, Università di Pavia, Pavia, Italy Reed, Alice ORCID:0000-0002-4570-8673 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Reeves, Kendall INSPIRE-00142245 ORCID:0000-0003-3504-4882 ROR:https://ror.org/05abbep66 GRID:grid.253264.4 Brandeis U. Department of Physics, Brandeis University, Waltham, MA, USA Reidelsturz, Joshua Aaron ORCID:0000-0001-8507-4065 ROR:https://ror.org/00613ak93 GRID:grid.7787.f Wuppertal U. Fakultät für Mathematik und Naturwissenschaften, Fachgruppe Physik, Bergische Universität Wuppertal, Wuppertal, Germany Reikher, David INSPIRE-00645331 ORCID:0000-0001-5758-579X ROR:https://ror.org/0293rh119 GRID:grid.170202.6 Oregon U. Institute for Fundamental Science, University of Oregon, Eugene, OR, USA Rej, Amartya INSPIRE-00649596 ORCID:0000-0002-5471-0118 ROR:https://ror.org/01k97gp34 GRID:grid.5675.1 Dortmund U. Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany Rembser, Christoph INSPIRE-00222420 ORCID:0000-0001-6139-2210 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Ren, Haoquan ORCID:0009-0006-5454-2245 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Renda, Michele ORCID:0000-0002-0429-6959 ROR:https://ror.org/00d3pnh21 GRID:grid.443874.8 Bucharest, IFIN-HH Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania Renner, Frederic ORCID:0000-0002-9475-3075 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Rennie, Adam ORCID:0000-0002-8485-3734 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Rescia, Alberto ORCID:0000-0003-2258-314X GRID:grid.5606.5 ROR:https://ror.org/02v89pq06 GRID:grid.470205.4 INFN, Genoa Genoa U. Dipartimento di Fisica, Università di Genova, Genoa, Italy INFN Sezione di Genova, Genoa, Italy Resconi, Silvia INSPIRE-00222441 ORCID:0000-0003-2313-4020 GRID:grid.470206.7 ROR:https://ror.org/04w4m6z96 INFN, Milan INFN Sezione di Milano, Milan, Italy Ressegotti, Martina ORCID:0000-0002-6777-1761 GRID:grid.5606.5 ROR:https://ror.org/02v89pq06 GRID:grid.470205.4 INFN, Genoa Genoa U. Dipartimento di Fisica, Università di Genova, Genoa, Italy INFN Sezione di Genova, Genoa, Italy Rettie, Sebastien INSPIRE-00436230 ORCID:0000-0002-7092-3893 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Rettie, William ORCID:0009-0001-6984-6253 ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Revering, Michael ORCID:0000-0001-5051-0293 ROR:https://ror.org/013meh722 GRID:grid.5335.0 Cambridge U. Cavendish Laboratory, University of Cambridge, Cambridge, UK Reynolds, Elliot INSPIRE-00537820 ORCID:0000-0002-1506-5750 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Rezanova, Olga INSPIRE-00235827 ORCID:0000-0001-7141-0304 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Reznicek, Pavel INSPIRE-00222462 ORCID:0000-0003-4017-9829 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Riani, Hanane ORCID:0009-0001-6269-0954 ROR:https://ror.org/01ejxf797 GRID:grid.410890.4 Oujda U. LPMR, Faculté des Sciences, Université Mohamed Premier, Oujda, Morocco Ribaric, Neza ORCID:0000-0003-3212-3681 ROR:https://ror.org/00py81415 GRID:grid.26009.3d Duke U. Department of Physics, Duke University, Durham, NC, USA Ricci, Bernardo ORCID:0009-0001-2289-2834 ROR:https://ror.org/05ht0mh31 GRID:grid.5390.f INFN, Udine Udine U. INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy Dipartimento Politecnico di Ingegneria e Architettura, Università di Udine, Udine, Italy Ricci, Ester INSPIRE-00640500 ORCID:0000-0002-4222-9976 GRID:grid.470224.7 ROR:https://ror.org/05trd4x28 GRID:grid.11696.39 TIFPA-INFN, Trento Trento U. INFN-TIFPA, Povo, Italy Università degli Studi di Trento, Trento, Italy Richter, Robert INSPIRE-00120026 ORCID:0000-0001-8981-1966 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Richter, Stefan INSPIRE-00393156 ORCID:0000-0001-6613-4448 ROR:https://ror.org/05f0yaq80 GRID:grid.10548.38 Stockholm U. Stockholm U., OKC Department of Physics, Stockholm University, Stockholm, Sweden Oskar Klein Centre, Stockholm, Sweden Richter-Was, Elzbieta INSPIRE-00222485 ORCID:0000-0002-3823-9039 ROR:https://ror.org/03bqmcz70 GRID:grid.5522.0 Jagiellonian U. Marian Smoluchowski Institute of Physics, Jagiellonian University, Krakow, Poland Ridel, Melissa INSPIRE-00052999 ORCID:0000-0002-2601-7420 GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Ridouani, Selaiman ORCID:0000-0002-9740-7549 ROR:https://ror.org/01ejxf797 GRID:grid.410890.4 Oujda U. LPMR, Faculté des Sciences, Université Mohamed Premier, Oujda, Morocco Rieck, Patrick INSPIRE-00333614 ORCID:0000-0003-0290-0566 ROR:https://ror.org/0190ak572 GRID:grid.137628.9 New York U. Department of Physics, New York University, New York, NY, USA Riedler, Petra ORCID:0000-0002-4871-8543 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Riefel, Ellen Maria ORCID:0000-0001-7818-2324 ROR:https://ror.org/05f0yaq80 GRID:grid.10548.38 Stockholm U. Stockholm U., OKC Department of Physics, Stockholm University, Stockholm, Sweden Oskar Klein Centre, Stockholm, Sweden Rieger, Oliver ORCID:0009-0008-3521-1920 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Rijssenbeek, Michael INSPIRE-00120164 ORCID:0000-0002-3476-1575 ROR:https://ror.org/05qghxh33 GRID:grid.36425.36 SUNY, Stony Brook Departments of Physics and Astronomy, Stony Brook University, Stony Brook, NY, USA Rimoldi, Marco INSPIRE-00511766 ORCID:0000-0003-1165-7940 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Rinaldi, Lorenzo INSPIRE-00222509 ORCID:0000-0001-9608-9940 ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Rincke, Philipp ORCID:0009-0000-3940-2355 GRID:grid.7450.6 GRID:grid.8993.b ROR:https://ror.org/048a87296 ROR:https://ror.org/01y9bpm73 Uppsala U., Inst. Theor. Phys. Gottingen U., II. Phys. Inst. II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany Department of Physics and Astronomy, University of Uppsala, Uppsala, Sweden Ripellino, Giulia INSPIRE-00549838 ORCID:0000-0002-4053-5144 ROR:https://ror.org/048a87296 GRID:grid.8993.b Uppsala U., Inst. Theor. Phys. Department of Physics and Astronomy, University of Uppsala, Uppsala, Sweden Riu, Imma INSPIRE-00120419 ORCID:0000-0002-3742-4582 ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Rivera Vergara, Juan Cristobal INSPIRE-00577521 ORCID:0000-0002-8149-4561 ROR:https://ror.org/04s5mat29 GRID:grid.143640.4 Victoria U. Department of Physics and Astronomy, University of Victoria, Victoria, BC, Canada Rizatdinova, Flera INSPIRE-00048668 ORCID:0000-0002-2041-6236 ROR:https://ror.org/01g9vbr38 GRID:grid.65519.3e Oklahoma State U. Department of Physics, Oklahoma State University, Stillwater, OK, USA Rizvi, Eram Syed INSPIRE-00120467 ORCID:0000-0001-9834-2671 ROR:https://ror.org/026zzn846 GRID:grid.4868.2 Queen Mary, U. of London Department of Physics and Astronomy, Queen Mary University of London, London, UK Roberts, Ryan ORCID:0000-0001-5235-8256 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Roberts, S.S. ORCID:0000-0003-1227-0852 ROR:https://ror.org/03s65by71 GRID:grid.205975.c UC, Santa Cruz Santa Cruz Institute for Particle Physics, University of California Santa Cruz, Santa Cruz, CA, USA Robinson, Dave INSPIRE-00222525 ORCID:0000-0001-6169-4868 ROR:https://ror.org/013meh722 GRID:grid.5335.0 Cambridge U. Cavendish Laboratory, University of Cambridge, Cambridge, UK Robles Manzano, Maria INSPIRE-00642200 ORCID:0000-0001-7701-8864 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Robson, Aidan INSPIRE-00052951 ORCID:0000-0002-1659-8284 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Rocchi, Alessandro INSPIRE-00655991 ORCID:0000-0002-3125-8333 GRID:grid.470219.9 ROR:https://ror.org/02p77k626 GRID:grid.6530.0 Rome U., Tor Vergata INFN Sezione di Roma Tor Vergata, Rome, Italy Dipartimento di Fisica, Università di Roma Tor Vergata, Rome, Italy Roda, Chiara INSPIRE-00222584 ORCID:0000-0002-3020-4114 GRID:grid.470216.6 ROR:https://ror.org/03ad39j10 GRID:grid.5395.a INFN, Pisa Pisa U. INFN Sezione di Pisa, Pisa, Italy Dipartimento di Fisica E. Fermi, Università di Pisa, Pisa, Italy Rodriguez Bosca, Sergi INSPIRE-00544722 ORCID:0000-0002-4571-2509 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Rodriguez Garcia, Yohany INSPIRE-00222610 ORCID:0000-0003-2729-6086 ROR:https://ror.org/014hpw227 GRID:grid.440783.c Antonio Narino U. Facultad de Ciencias y Centro de Investigaciónes, Universidad Antonio Nariño, Bogotá, Colombia Rodriguez Vera, Ana Maria INSPIRE-00548892 ORCID:0000-0002-9609-3306 ROR:https://ror.org/012wxa772 GRID:grid.261128.e Northern Illinois U. Department of Physics, Northern Illinois University, DeKalb, IL, USA Roe, Shaun INSPIRE-00222620 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Roemer, Jonas Till ORCID:0000-0002-8794-3209 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Rohne, Ole INSPIRE-00120872 ORCID:0000-0001-7744-9584 ROR:https://ror.org/01xtthb56 GRID:grid.5510.1 Oslo U. Department of Physics, University of Oslo, Oslo, Norway Rojas Caballero, Rimsky Alejandro ORCID:0000-0002-6888-9462 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Roland, Christophe INSPIRE-00571930 ORCID:0000-0003-2084-369X GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Romaniouk, Anatoli INSPIRE-00222643 ORCID:0000-0001-9241-1189 ROR:https://ror.org/054pv6659 GRID:grid.5771.4 Innsbruck U. Department of Astro and Particle Physics, Universität Innsbruck, Innsbruck, Austria Romano, Emanuele ORCID:0000-0003-3154-7386 GRID:grid.470213.3 ROR:https://ror.org/00s6t1f81 GRID:grid.8982.b INFN, Pavia Pavia U. INFN Sezione di Pavia, Pavia, Italy Dipartimento di Fisica, Università di Pavia, Pavia, Italy Romano, Marino INSPIRE-00237277 ORCID:0000-0002-6609-7250 GRID:grid.470193.8 ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Sezione di Bologna, Bologna, Italy Hernandez, A.C.Romero ORCID:0000-0001-9434-1380 ROR:https://ror.org/047426m28 GRID:grid.35403.31 Illinois U., Urbana Department of Physics, University of Illinois, Urbana, IL, USA Rompotis, Nikolaos INSPIRE-00311758 ORCID:0000-0003-2577-1875 ROR:https://ror.org/04xs57h96 GRID:grid.10025.36 Liverpool U. Oliver Lodge Laboratory, University of Liverpool, Liverpool, UK Roos, Lydia INSPIRE-00121125 ORCID:0000-0001-7151-9983 GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Rosati, Stefano INSPIRE-00226874 ORCID:0000-0003-0838-5980 GRID:grid.470218.8 ROR:https://ror.org/05eva6s33 INFN, Rome INFN Sezione di Roma, Rome, Italy Rosser, Benjamin John INSPIRE-00652044 ORCID:0000-0001-7492-831X ROR:https://ror.org/024mw5h28 GRID:grid.170205.1 Chicago U., EFI Enrico Fermi Institute, University of Chicago, Chicago, IL, USA Rossi, Eleonora INSPIRE-00639241 ORCID:0000-0002-2146-677X ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Rossi, Elvira INSPIRE-00232312 ORCID:0000-0001-9476-9854 GRID:grid.470211.1 ROR:https://ror.org/05290cv24 GRID:grid.4691.a Naples U. INFN Sezione di Napoli, Naples, Italy Dipartimento di Fisica, Università di Napoli, Naples, Italy Rossi, Leonardo INSPIRE-00222731 ORCID:0000-0003-3104-7971 ROR:https://ror.org/03vek6s52 GRID:grid.38142.3c Harvard U., Phys. Dept. Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA, USA Rossini, Lorenzo INSPIRE-00575796 ORCID:0000-0003-0424-5729 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Rosten, Rachel Christine INSPIRE-00345760 ORCID:0000-0002-9095-7142 ROR:https://ror.org/00rs6vg23 GRID:grid.261331.4 Ohio State U. Ohio State University, Columbus, OH, USA Rotaru, Marina INSPIRE-00185709 ORCID:0000-0003-4088-6275 ROR:https://ror.org/00d3pnh21 GRID:grid.443874.8 Bucharest, IFIN-HH Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania Rottler, Benjamin ORCID:0000-0002-6762-2213 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Rousseau, David INSPIRE-00121457 ORCID:0000-0001-7613-8063 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Rousso, David ORCID:0000-0003-1427-6668 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Roy-Garand, Sebastien ORCID:0000-0002-1966-8567 ROR:https://ror.org/03dbr7087 GRID:grid.17063.33 Toronto U. Department of Physics, University of Toronto, Toronto, ON, Canada Rozanov, Alexandre INSPIRE-00121556 ORCID:0000-0003-0504-1453 ROR:https://ror.org/00fw8bp86 GRID:grid.470046.1 Marseille, CPPM CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France Rozario, Zefran ORCID:0000-0002-4887-9224 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Rozen, Yoram INSPIRE-00222740 ORCID:0000-0001-6969-0634 ROR:https://ror.org/03qryx823 GRID:grid.6451.6 Technion Department of Physics, Technion, Israel Institute of Technology, Haifa, Israel Rubio Jimenez, Adrian ORCID:0000-0001-9085-2175 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Ruelas Rivera, Victor Hugo ORCID:0000-0002-2116-048X ROR:https://ror.org/01hcx6992 GRID:grid.7468.d Humboldt U., Berlin Institut für Physik, Humboldt Universität zu Berlin, Berlin, Germany Ruggeri, Tristan Andrew ORCID:0000-0001-9941-1966 ROR:https://ror.org/00892tw58 GRID:grid.1010.0 Adelaide U. Department of Physics, University of Adelaide, Adelaide, Australia Ruggiero, Alessandro ORCID:0000-0001-6436-8814 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Ruiz Martinez, Arantxa INSPIRE-00222798 ORCID:0000-0002-5742-2541 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Rummler, Andre INSPIRE-00287066 ORCID:0000-0001-8945-8760 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Rurikova, Zuzana INSPIRE-00217990 ORCID:0000-0003-3051-9607 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Rusakovich, Nikolai INSPIRE-00301212 ORCID:0000-0003-1927-5322 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Ruscelli, Simone ORCID:0009-0006-9260-243X ROR:https://ror.org/01k97gp34 GRID:grid.5675.1 Dortmund U. Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany Russell, Heather INSPIRE-00381301 ORCID:0000-0003-4181-0678 ROR:https://ror.org/04s5mat29 GRID:grid.143640.4 Victoria U. Department of Physics and Astronomy, University of Victoria, Victoria, BC, Canada Russo, Graziella ORCID:0000-0002-5105-8021 GRID:grid.470218.8 ROR:https://ror.org/02be6w209 GRID:grid.7841.a INFN, Rome Rome U. INFN Sezione di Roma, Rome, Italy Dipartimento di Fisica, Sapienza Università di Roma, Rome, Italy Rutherfoord, John P. INSPIRE-00122016 ORCID:0000-0002-4682-0667 ROR:https://ror.org/03m2x1q45 GRID:grid.134563.6 Arizona U. Department of Physics, University of Arizona, Tucson, AZ, USA Rutherford Colmenares, Sebastian ORCID:0000-0001-8474-8531 ROR:https://ror.org/013meh722 GRID:grid.5335.0 Cambridge U. Cavendish Laboratory, University of Cambridge, Cambridge, UK Rybar, Martin INSPIRE-00287074 ORCID:0000-0002-6033-004X ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Rybczynski, Pawel ORCID:0009-0009-1482-7600 ROR:https://ror.org/00bas1c41 GRID:grid.9922.0 AGH-UST, Cracow AGH University of Krakow, Faculty of Physics and Applied Computer Science, Krakow, Poland Ryzhov, Andrey INSPIRE-00414625 ORCID:0000-0002-0623-7426 ROR:https://ror.org/042tdr378 GRID:grid.263864.d Southern Methodist U. Physics Department, Southern Methodist University, Dallas, TX, USA Sabater Iglesias, Jorge Andres ORCID:0000-0003-2328-1952 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Sadrozinski, Hartmut INSPIRE-00122290 ORCID:0000-0003-0019-5410 ROR:https://ror.org/03s65by71 GRID:grid.205975.c UC, Santa Cruz Santa Cruz Institute for Particle Physics, University of California Santa Cruz, Santa Cruz, CA, USA Safai Tehrani, Francesco INSPIRE-00041870 ORCID:0000-0001-7796-0120 GRID:grid.470218.8 ROR:https://ror.org/05eva6s33 INFN, Rome INFN Sezione di Roma, Rome, Italy Saha, Shreya INSPIRE-00654702 ORCID:0000-0001-9296-1498 ROR:https://ror.org/00892tw58 GRID:grid.1010.0 Adelaide U. Department of Physics, University of Adelaide, Adelaide, Australia Sahinsoy, Merve INSPIRE-00394595 ORCID:0000-0002-7400-7286 ROR:https://ror.org/03081nz23 GRID:grid.508740.e Istinye U., Istanbul Istinye University, Sariyer, Istanbul, Türkiye Sahoo, Baidyanath ORCID:0000-0001-7383-4418 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Saibel, Andrej ORCID:0000-0002-9932-7622 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Saifuddin, Burhani Taher ORCID:0000-0001-8259-5965 ROR:https://ror.org/02aqsxs83 GRID:grid.266900.b Oklahoma U. Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, OK, USA Saimpert, Matthias INSPIRE-00387311 ORCID:0000-0002-3765-1320 ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Saito, Guilherme Tomio ORCID:0000-0002-1879-6305 ROR:https://ror.org/036rp1748 GRID:grid.11899.38 Sao Paulo U. Instituto de Física, Universidade de São Paulo, São Paulo, Brazil Saito, Masahiko INSPIRE-00550991 ORCID:0000-0001-5564-0935 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Saito, Tomoyuki INSPIRE-00399900 ORCID:0000-0003-2567-6392 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Sala, Alessandro ORCID:0000-0003-0824-7326 ROR:https://ror.org/04w4m6z96 GRID:grid.470206.7 GRID:grid.4708.b INFN, Milan Milan U. INFN Sezione di Milano, Milan, Italy Dipartimento di Fisica, Università di Milano, Milan, Italy Salnikov, Andy INSPIRE-00122791 ORCID:0000-0002-3623-0161 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Salt, Jose INSPIRE-00222878 ORCID:0000-0003-4181-2788 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Salvador Salas, Adrian INSPIRE-00698503 ORCID:0000-0001-5041-5659 ROR:https://ror.org/04mhzgx49 GRID:grid.12136.37 Tel Aviv U. Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv, Israel Salvatore, Fabrizio INSPIRE-00042310 ORCID:0000-0002-3709-1554 ROR:https://ror.org/00ayhx656 GRID:grid.12082.39 Sussex U. Department of Physics and Astronomy, University of Sussex, Brighton, UK Salzburger, Andreas INSPIRE-00222917 ORCID:0000-0001-6004-3510 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Sammel, Dirk INSPIRE-00394771 ORCID:0000-0003-4484-1410 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Sampson, Elliot James ORCID:0009-0005-7228-1539 GRID:grid.9835.7 ROR:https://ror.org/01g3dya06 GRID:grid.472314.7 Lancaster U. Physics Department, Lancaster University, Lancaster, UK Sampsonidis, Dimos INSPIRE-00222923 ORCID:0000-0002-9571-2304 ROR:https://ror.org/02j61yw88 GRID:grid.4793.9 Aristotle U., Thessaloniki N/A Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Sampsonidou, Despoina INSPIRE-00531687 ORCID:0000-0003-0384-7672 ROR:https://ror.org/0293rh119 GRID:grid.170202.6 Oregon U. Institute for Fundamental Science, University of Oregon, Eugene, OR, USA Sanchez Martinez, Francisco Javier INSPIRE-00224147 ORCID:0000-0001-9913-310X ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Sanchez Sebastian, Victoria ORCID:0000-0002-4143-6201 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Sandaker, Heidi INSPIRE-00222934 ORCID:0000-0001-5235-4095 ROR:https://ror.org/01xtthb56 GRID:grid.5510.1 Oslo U. Department of Physics, University of Oslo, Oslo, Norway Sander, Christian INSPIRE-00315812 ORCID:0000-0003-2576-259X ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Sandesara, Jay Ajitbhai ORCID:0000-0002-6016-8011 GRID:grid.28803.31 ROR:https://ror.org/01y2jtd41 GRID:grid.14003.36 Wisconsin U., Madison Department of Physics, University of Wisconsin, Madison, WI, USA Sandhoff, Marisa INSPIRE-00008264 ORCID:0000-0002-7601-8528 ROR:https://ror.org/00613ak93 GRID:grid.7787.f Wuppertal U. Fakultät für Mathematik und Naturwissenschaften, Fachgruppe Physik, Bergische Universität Wuppertal, Wuppertal, Germany Sandoval Usme, Carlos INSPIRE-00237372 ORCID:0000-0003-1038-723X ROR:https://ror.org/059yx9a68 GRID:grid.10689.36 Colombia, U. Natl. Departamento de Física, Universidad Nacional de Colombia, Bogotá, Colombia Sanfilippo, Lorenzo ORCID:0000-0001-5923-6999 ROR:https://ror.org/038t36y30 GRID:grid.7700.0 Kirchhoff Inst. Phys. Kirchhoff-Institut für Physik, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Sankey, D.P.C. INSPIRE-00123095 ORCID:0000-0003-0955-4213 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Rutherford Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Sano, Takane ORCID:0000-0001-8655-0609 ROR:https://ror.org/02kpeqv85 GRID:grid.258799.8 Kyoto U. Faculty of Science, Kyoto University, Kyoto, Japan Sansoni, Andrea INSPIRE-00222964 ORCID:0000-0002-9166-099X ROR:https://ror.org/049jf1a25 GRID:grid.463190.9 Frascati INFN e Laboratori Nazionali di Frascati, Frascati, Italy Santana Queiroz, Hadley ORCID:0009-0004-1209-0661 UC, Berkeley (main) Queiroz, M.Santana ORCID:0009-0004-1209-0661 GRID:grid.47840.3f ROR:https://ror.org/01an7q238 UC, Berkeley University of California, Berkeley, CA, USA Santi, Lorenzo ORCID:0000-0003-1766-2791 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Santoni, Claudio INSPIRE-00161887 ORCID:0000-0002-1642-7186 GRID:grid.433124.3 ROR:https://ror.org/0214k6v65 GRID:grid.470921.9 Clermont-Ferrand U. LPC, Université Clermont Auvergne, CNRS/IN2P3, Clermont-Ferrand, France Santos, Helena INSPIRE-00232412 ORCID:0000-0003-1710-9291 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 ROR:https://ror.org/01c27hj86 GRID:grid.9983.b LIP, Lisbon Lisboa U., CFNUL Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Departamento de Física, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal Santra, Arka INSPIRE-00356248 ORCID:0000-0003-4644-2579 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Sanzani, Elisa ORCID:0000-0002-9478-0671 ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Saoucha, Kamal ORCID:0000-0001-9150-640X ROR:https://ror.org/00engpz63 GRID:grid.412789.1 U. Sharjah University of Sharjah, Sharjah, United Arab Emirates Mendes Saraiva, Joao Gentil INSPIRE-00306227 ORCID:0000-0002-7006-0864 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 ROR:https://ror.org/01c27hj86 GRID:grid.9983.b LIP, Lisbon Lisbon U., CFNUL Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Centro de Física Nuclear da Universidade de Lisboa, Lisbon, Portugal Sardain, Jad Mathieu INSPIRE-00656470 ORCID:0000-0002-6932-2804 ROR:https://ror.org/03m2x1q45 GRID:grid.134563.6 Arizona U. Department of Physics, University of Arizona, Tucson, AZ, USA Sasaki, Osamu INSPIRE-00123320 ORCID:0000-0002-2910-3906 ROR:https://ror.org/01g5y5k24 GRID:grid.410794.f KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Sato, Koji INSPIRE-00048967 ORCID:0000-0001-8988-4065 ROR:https://ror.org/02956yf07 GRID:grid.20515.33 Tsukuba U. Division of Physics and Tomonaga Center for the History of the Universe, Faculty of Pure and Applied Sciences, University of Tsukuba, Tsukuba, Japan Sauer, Christof ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Sauvan, Emmanuel INSPIRE-00185747 ORCID:0000-0003-1921-2647 GRID:grid.433124.3 ROR:https://ror.org/049nhh297 GRID:grid.450330.1 Annecy, LAPP LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France Savard, Pierre INSPIRE-00123492 ORCID:0000-0001-5606-0107 ROR:https://ror.org/03dbr7087 GRID:grid.17063.33 ROR:https://ror.org/03kgj4539 GRID:grid.232474.4 Toronto U. TRIUMF Department of Physics, University of Toronto, Toronto, ON, Canada TRIUMF, Vancouver, BC, Canada Sawada, Ryu INSPIRE-00572706 ORCID:0000-0002-2226-9874 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Sawyer, Craig INSPIRE-00337679 ORCID:0000-0002-2027-1428 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Rutherford Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Sawyer, Lee INSPIRE-00123608 ORCID:0000-0001-8295-0605 ROR:https://ror.org/04q9esz89 GRID:grid.259237.8 Louisiana Tech. U. Louisiana Tech University, Ruston, LA, USA Sbarra, Carla INSPIRE-00223003 ORCID:0000-0002-8236-5251 GRID:grid.470193.8 ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Sezione di Bologna, Bologna, Italy Sbrizzi, Antonio INSPIRE-00223019 ORCID:0000-0002-1934-3041 ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Scanlon, Timothy Paul INSPIRE-00038709 ORCID:0000-0002-2746-525X ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Schaarschmidt, Jana INSPIRE-00223142 ORCID:0000-0002-0433-6439 GRID:grid.34477.33 ROR:https://ror.org/03d17d270 GRID:grid.504155.0 Washington U., Seattle Department of Physics, University of Washington, Seattle, WA, USA Schaefer, Uli INSPIRE-00146919 ORCID:0000-0003-4489-9145 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Schaffer, R.D. INSPIRE-00223168 ORCID:0000-0002-2586-7554 ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 ROR:https://ror.org/042tdr378 GRID:grid.263864.d IJCLab, Orsay Southern Methodist U. Schaile, Dorothee INSPIRE-00300542 ORCID:0000-0001-7822-9663 ROR:https://ror.org/05591te55 GRID:grid.5252.0 Munich U. Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany Schamberger, Robert Dean, Jr. INSPIRE-00123848 ORCID:0000-0003-1218-425X ROR:https://ror.org/05qghxh33 GRID:grid.36425.36 SUNY, Stony Brook Departments of Physics and Astronomy, Stony Brook University, Stony Brook, NY, USA Scharf, Christian INSPIRE-00412747 ORCID:0000-0002-0294-1205 ROR:https://ror.org/01hcx6992 GRID:grid.7468.d Humboldt U., Berlin Institut für Physik, Humboldt Universität zu Berlin, Berlin, Germany Schefer, Meinrad Moritz ORCID:0000-0002-8403-8924 ROR:https://ror.org/02k7v4d05 GRID:grid.5734.5 Bern U., LHEP Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics, University of Bern, Bern, Switzerland Chtcheguelski, Valery INSPIRE-00223190 ORCID:0000-0003-1870-1967 CERN Schegelsky, V.A. ORCID:0000-0003-1870-1967 GRID:grid.9132.9 ROR:https://ror.org/055f7t516 Higher Sch. of Economics, Moscow Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Scheirich, Daniel INSPIRE-00223208 ORCID:0000-0001-6012-7191 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Schernau, Michael INSPIRE-00123929 ORCID:0000-0002-0859-4312 ROR:https://ror.org/04xe01d27 GRID:grid.412182.c Tarapaca U. Instituto de Alta Investigación, Universidad de Tarapacá, Arica, Chile Scheulen, Chris ORCID:0000-0002-9142-1948 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Schiavi, Carlo INSPIRE-00223222 ORCID:0000-0003-0957-4994 GRID:grid.5606.5 ROR:https://ror.org/02v89pq06 GRID:grid.470205.4 INFN, Genoa Genoa U. Dipartimento di Fisica, Università di Genova, Genoa, Italy INFN Sezione di Genova, Genoa, Italy Schien, Daniel ORCID:0000-0002-5290-7443 GRID:grid.5337.2 ROR:https://ror.org/0524sp257 U. Bristol (main) Associated to School of Computer Science, University of Bristol, Bristol, UK Schioppa, Marco INSPIRE-00172296 ORCID:0000-0003-0628-0579 ROR:https://ror.org/02rc97e94 GRID:grid.7778.f GRID:grid.463190.9 INFN, Cosenza Calabria U. Dipartimento di Fisica, Università della Calabria, Rende, Italy INFN Gruppo Collegato di Cosenza, Laboratori Nazionali di Frascati, Frascati, Italy Schlag, Bastian ORCID:0000-0002-1284-4169 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Schlenker, Stefan INSPIRE-00223244 ORCID:0000-0001-5239-3609 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Schmeing, Jonas ORCID:0000-0002-2855-9549 ROR:https://ror.org/00613ak93 GRID:grid.7787.f Wuppertal U. Fakultät für Mathematik und Naturwissenschaften, Fachgruppe Physik, Bergische Universität Wuppertal, Wuppertal, Germany Schmidt, Elia ORCID:0000-0001-9246-7449 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Schmidt, Mustafa Andre ORCID:0000-0002-4467-2461 ROR:https://ror.org/00613ak93 GRID:grid.7787.f Wuppertal U. Fakultät für Mathematik und Naturwissenschaften, Fachgruppe Physik, Bergische Universität Wuppertal, Wuppertal, Germany Schmieden, Kristof INSPIRE-00260738 ORCID:0000-0003-1978-4928 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Schmitt, Christian INSPIRE-00058231 ORCID:0000-0003-1471-690X ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Schmitt, Niklas ORCID:0000-0002-1844-1723 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Schmitt, Stefan INSPIRE-00124271 ORCID:0000-0001-8387-1853 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Schneider, Nick Andreas ORCID:0009-0005-2085-637X ROR:https://ror.org/05591te55 GRID:grid.5252.0 Munich U. Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany Schoeffel, Laurent Olivier INSPIRE-00185759 ORCID:0000-0002-8081-2353 ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Schoening, Andre INSPIRE-00185763 ORCID:0000-0002-4499-7215 ROR:https://ror.org/038t36y30 GRID:grid.7700.0 Heidelberg U. Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Scholer, Patrick ORCID:0000-0003-2882-9796 ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Schopf, Elisabeth INSPIRE-00396420 ORCID:0000-0002-9340-2214 ROR:https://ror.org/02azyry73 GRID:grid.5836.8 Siegen U. Department Physik, Universität Siegen, Siegen, Germany Schott, Matthias INSPIRE-00223276 ORCID:0000-0002-4235-7265 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Schramm, Steven INSPIRE-00356617 ORCID:0000-0001-9031-6751 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Schroer, Tomke ORCID:0000-0001-7967-6385 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Schultz-Coulon, Hans-Christian INSPIRE-00124529 ORCID:0000-0002-0860-7240 ROR:https://ror.org/038t36y30 GRID:grid.7700.0 Kirchhoff Inst. Phys. Kirchhoff-Institut für Physik, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Schumacher, Markus INSPIRE-00223322 ORCID:0000-0002-1733-8388 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Schumm, Bruce Andrew INSPIRE-00124566 ORCID:0000-0002-5394-0317 ROR:https://ror.org/03s65by71 GRID:grid.205975.c UC, Santa Cruz Santa Cruz Institute for Particle Physics, University of California Santa Cruz, Santa Cruz, CA, USA Schune, Philippe INSPIRE-00124581 ORCID:0000-0002-3971-9595 ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IRFU, Saclay Schwemling, Philippe INSPIRE-00124725 ORCID:0000-0003-0989-5675 ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IRFU, Saclay Schune, Ph. ORCID:0000-0002-3971-9595 GRID:grid.460789.4 ROR:https://ror.org/05k705z76 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Schwartz, Hava Rhian ORCID:0000-0002-5014-1245 ROR:https://ror.org/03m2x1q45 GRID:grid.134563.6 Arizona U. Department of Physics, University of Arizona, Tucson, AZ, USA Schwartzman, Ariel Gustavo INSPIRE-00053381 ORCID:0000-0002-6680-8366 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Schwarz, Thomas Andrew INSPIRE-00025352 ORCID:0000-0001-5660-2690 ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Schwemling, Ph. ORCID:0000-0003-0989-5675 GRID:grid.460789.4 ROR:https://ror.org/05k705z76 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France Schwienhorst, Reinhard INSPIRE-00050408 ORCID:0000-0001-6348-5410 ROR:https://ror.org/05hs6h993 GRID:grid.17088.36 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA Sciacca, Gianfranco INSPIRE-00297774 ORCID:0000-0002-2000-6210 ROR:https://ror.org/02k7v4d05 GRID:grid.5734.5 Bern U., LHEP Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics, University of Bern, Bern, Switzerland Sciandra, Andrea INSPIRE-00537833 ORCID:0000-0001-7163-501X ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Sciolla, Gabriella INSPIRE-00124804 ORCID:0000-0002-8482-1775 ROR:https://ror.org/05abbep66 GRID:grid.253264.4 Brandeis U. Department of Physics, Brandeis University, Waltham, MA, USA Scuri, Fabrizio INSPIRE-00124895 ORCID:0000-0001-9569-3089 GRID:grid.470216.6 ROR:https://ror.org/05symbg58 INFN, Pisa INFN Sezione di Pisa, Pisa, Italy Sebastiani, Cristiano INSPIRE-00581451 ORCID:0000-0003-1073-035X ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Sedlaczek, Kevin ORCID:0000-0003-2052-2386 ROR:https://ror.org/012wxa772 GRID:grid.261128.e Northern Illinois U. Department of Physics, Northern Illinois University, DeKalb, IL, USA Seidel, Sally INSPIRE-00125002 ORCID:0000-0002-1181-3061 ROR:https://ror.org/05fs6jp91 GRID:grid.266832.b New Mexico U. Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA Seiden, Abraham INSPIRE-00125018 ORCID:0000-0003-4311-8597 ROR:https://ror.org/03s65by71 GRID:grid.205975.c UC, Santa Cruz Santa Cruz Institute for Particle Physics, University of California Santa Cruz, Santa Cruz, CA, USA Seidlitz, Blair Daniel ORCID:0000-0002-4703-000X ROR:https://ror.org/00hj8s172 GRID:grid.21729.3f Nevis Labs, Columbia U. Nevis Laboratory, Columbia University, Irvington, NY, USA Seitz, Claudia ORCID:0000-0003-4622-6091 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Seixas, Jose INSPIRE-00306265 ORCID:0000-0001-5148-7363 ROR:https://ror.org/03490as77 GRID:grid.8536.8 Rio de Janeiro Federal U. Universidade Federal do Rio de Janeiro COPPE/EE/IF, Rio de Janeiro, Brazil Sekhniaidze, Givi INSPIRE-00223392 ORCID:0000-0002-4116-5309 GRID:grid.470211.1 Naples U. INFN Sezione di Napoli, Naples, Italy Selem, Luka ORCID:0000-0002-8739-8554 GRID:grid.5676.2 ROR:https://ror.org/03f0apy98 GRID:grid.472561.3 LPSC, Grenoble LPSC, Université Grenoble Alpes, CNRS/IN2P3, Grenoble INP, Grenoble, France Semprini Cesari, Nicola INSPIRE-00223442 ORCID:0000-0002-3946-377X ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Semushin, Artur ORCID:0000-0002-7164-2153 ROR:https://ror.org/00ad27c73 GRID:grid.48507.3e Yerevan Phys. Inst. Yerevan Physics Institute, Yerevan, Armenia Sengupta, Debajyoti ORCID:0000-0003-2676-3498 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Senthilkumar, Varsha ORCID:0000-0001-9783-8878 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Serin, Laurent INSPIRE-00223468 ORCID:0000-0003-3238-5382 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Sessa, Marco INSPIRE-00404546 ORCID:0000-0002-1402-7525 GRID:grid.470211.1 ROR:https://ror.org/05290cv24 GRID:grid.4691.a Naples U. INFN Sezione di Napoli, Naples, Italy Dipartimento di Fisica, Università di Napoli, Naples, Italy Severini, Horst INSPIRE-00125370 ORCID:0000-0003-3316-846X ROR:https://ror.org/02aqsxs83 GRID:grid.266900.b Oklahoma U. Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, OK, USA Sforza, Federico INSPIRE-00011580 ORCID:0000-0002-4065-7352 GRID:grid.5606.5 ROR:https://ror.org/02v89pq06 GRID:grid.470205.4 INFN, Genoa Genoa U. Dipartimento di Fisica, Università di Genova, Genoa, Italy INFN Sezione di Genova, Genoa, Italy Sfyrla, Anna INSPIRE-00030383 ORCID:0000-0002-3003-9905 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Sha, Qiyu ORCID:0000-0002-0032-4473 GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Shabajee, Paul GRID:grid.5337.2 ROR:https://ror.org/0524sp257 U. Bristol (main) Associated to School of Computer Science, University of Bristol, Bristol, UK Shabalina, Elizaveta INSPIRE-00038690 ORCID:0000-0003-4849-556X ROR:https://ror.org/01y9bpm73 GRID:grid.7450.6 Gottingen U., II. Phys. Inst. II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany Shaddix, Hayden Michael ORCID:0009-0003-1194-7945 ROR:https://ror.org/012wxa772 GRID:grid.261128.e Northern Illinois U. Department of Physics, Northern Illinois University, DeKalb, IL, USA Shah, Aashaq ORCID:0000-0002-6157-2016 ROR:https://ror.org/013meh722 GRID:grid.5335.0 Cambridge U. Cavendish Laboratory, University of Cambridge, Cambridge, UK Shaheen, Rabia ORCID:0000-0002-2673-8527 ROR:https://ror.org/026vcq606 GRID:grid.5037.1 Royal Inst. Tech., Stockholm Department of Physics, Royal Institute of Technology, Stockholm, Sweden Shahinian, Jeff INSPIRE-00562258 ORCID:0000-0002-1325-3432 ROR:https://ror.org/00b30xv10 GRID:grid.25879.31 Pennsylvania U. Department of Physics, University of Pennsylvania, Philadelphia, PA, USA Shamim, Mansoora INSPIRE-00038689 ORCID:0009-0002-3986-399X ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Shan, Lianyou INSPIRE-00223489 ORCID:0000-0001-9134-5925 GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Shapiro, Marjorie INSPIRE-00125625 ORCID:0000-0001-8540-9654 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Sharma, Abhishek INSPIRE-00401935 ORCID:0000-0002-5211-7177 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Sharma, Abhishek INSPIRE-00571586 ORCID:0000-0003-2250-4181 ROR:https://ror.org/03rmrcq20 GRID:grid.17091.3e British Columbia U. Department of Physics, University of British Columbia, Vancouver, BC, Canada Sharma, Punit ORCID:0000-0002-3454-9558 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Shatalov, Sppavel INSPIRE-00223506 ORCID:0000-0001-7530-4162 CERN Shatalov, P.B. ORCID:0000-0001-7530-4162 GRID:grid.9132.9 ROR:https://ror.org/055f7t516 Higher Sch. of Economics, Moscow Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Shaw, Kate INSPIRE-00223518 ORCID:0000-0001-9182-0634 ROR:https://ror.org/00ayhx656 GRID:grid.12082.39 Sussex U. Department of Physics and Astronomy, University of Sussex, Brighton, UK Shaw, Savanna INSPIRE-00347635 ORCID:0000-0002-8958-7826 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Shen, Qiuping ORCID:0000-0002-4085-1227 ROR:https://ror.org/0220qvk04 GRID:grid.16821.3c Shanghai Jiao Tong U. State Key Laboratory of Dark Matter Physics, School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MOE), SKLPPC, Shanghai, China Sheppard, Damian Joseph ORCID:0009-0003-3022-8858 ROR:https://ror.org/0213rcc28 GRID:grid.61971.38 Simon Fraser U. Department of Physics, Simon Fraser University, Burnaby, BC, Canada Sherwood, Peter INSPIRE-00223529 ORCID:0000-0002-6621-4111 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Shi, Liaoshan INSPIRE-00367077 ORCID:0000-0001-9532-5075 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Shi, Xin ORCID:0000-0001-9910-9345 GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Shimizu, Shima INSPIRE-00173951 ORCID:0000-0001-8279-442X ROR:https://ror.org/01g5y5k24 GRID:grid.410794.f KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Shimmin, Chase Owen INSPIRE-00364288 ORCID:0000-0002-2228-2251 ROR:https://ror.org/03v76x132 GRID:grid.47100.32 Yale U. Department of Physics, Yale University, New Haven, CT, USA Shipsey, I.P.J. INSPIRE-00319805 ORCID:0000-0003-4050-6420 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Shirabe, Shohei INSPIRE-00529735 ORCID:0000-0002-3191-0061 ROR:https://ror.org/00p4k0j84 GRID:grid.177174.3 Kyushu U. Research Center for Advanced Particle Physics and Department of Physics, Kyushu University, Fukuoka, Japan Shiyakova, Mariya INSPIRE-00237482 ORCID:0000-0002-4775-9669 GRID:grid.9132.9 GRID:grid.425050.6 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/0276rjc88 CERN Sofiya, Inst. Nucl. Res. Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Institute for Nuclear Research and Nuclear Energy (INRNE) of the Bulgarian Academy of Sciences, Sofia, Bulgaria Shochet, M.J. INSPIRE-00126064 ORCID:0000-0002-3017-826X ROR:https://ror.org/024mw5h28 GRID:grid.170205.1 Chicago U., EFI Enrico Fermi Institute, University of Chicago, Chicago, IL, USA Shope, David Richard INSPIRE-00529749 ORCID:0000-0002-9453-9415 ROR:https://ror.org/01xtthb56 GRID:grid.5510.1 Oslo U. Department of Physics, University of Oslo, Oslo, Norway Shrestha, Bijay ORCID:0009-0005-3409-7781 ROR:https://ror.org/02aqsxs83 GRID:grid.266900.b Oklahoma U. Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, OK, USA Shrestha, Suyog INSPIRE-00237498 ORCID:0000-0001-7249-7456 ROR:https://ror.org/00rs6vg23 GRID:grid.261331.4 GRID:grid.265158.d Ohio State U. Washington Coll. Ohio State University, Columbus, OH, USA Washington College, Chestertown, MD, USA Shreyber, Irina ORCID:0000-0001-8654-5973 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Shroff, Maheyer Jamshed ORCID:0000-0002-0456-786X ROR:https://ror.org/04s5mat29 GRID:grid.143640.4 Victoria U. Department of Physics and Astronomy, University of Victoria, Victoria, BC, Canada Sicho, Petr INSPIRE-00223560 ORCID:0000-0002-5428-813X GRID:grid.424881.3 ROR:https://ror.org/04jymbd90 GRID:grid.425110.3 Prague, Inst. Phys. Institute of Physics of the Czech Academy of Sciences, Prague, Czech Republic Sickles, Anne Marie INSPIRE-00043440 ORCID:0000-0002-3246-0330 ROR:https://ror.org/047426m28 GRID:grid.35403.31 Illinois U., Urbana Department of Physics, University of Illinois, Urbana, IL, USA Sideras Haddad, Elias INSPIRE-00508575 ORCID:0000-0002-3206-395X ROR:https://ror.org/03rp50x72 GRID:grid.11951.3d ROR:https://ror.org/00r2r5k05 GRID:grid.499377.7 Witwatersrand U. School of Physics, University of the Witwatersrand, Johannesburg, South Africa University of West Attica, Athens, Greece Sidley, Alexandra Claire ORCID:0000-0002-4021-0374 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Sidoti, Antonio INSPIRE-00040767 ORCID:0000-0002-3277-1999 GRID:grid.470193.8 ROR:https://ror.org/04j0x0h93 INFN, Bologna INFN Sezione di Bologna, Bologna, Italy Siegert, Frank INSPIRE-00004088 ORCID:0000-0002-2893-6412 ROR:https://ror.org/042aqky30 GRID:grid.4488.0 Dresden, Tech. U. Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany Sijacki, Dorde INSPIRE-00126317 ORCID:0000-0002-5809-9424 ROR:https://ror.org/04h3h5b09 GRID:grid.435330.2 Belgrade U. Sijacki, Dj. ORCID:0000-0002-5809-9424 GRID:grid.7149.b ROR:https://ror.org/02qsmb048 Belgrade, Inst. Phys. Institute of Physics, University of Belgrade, Belgrade, Serbia Sili, Francisco ORCID:0000-0001-6035-8109 GRID:grid.450288.3 ROR:https://ror.org/01tjs6929 GRID:grid.9499.d La Plata U. Instituto de Física La Plata, Universidad Nacional de La Plata and CONICET, La Plata, Argentina Cardoso Silva, Julia Manuela ORCID:0000-0002-5987-2984 ROR:https://ror.org/01nrxwf90 GRID:grid.4305.2 Edinburgh U. SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK Silva Ferreira, Isabella ORCID:0000-0002-0666-7485 ROR:https://ror.org/03490as77 GRID:grid.8536.8 Rio de Janeiro Federal U. Universidade Federal do Rio de Janeiro COPPE/EE/IF, Rio de Janeiro, Brazil Silva Oliveira, Marcos Vinicius INSPIRE-00390428 ORCID:0000-0003-2285-478X ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Silverstein, Samuel INSPIRE-00223592 ORCID:0000-0001-7734-7617 GRID:grid.10548.38 ROR:https://ror.org/05f0yaq80 Stockholm U. Department of Physics, Stockholm University, Stockholm, Sweden Simili, Emanuele GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Simion, Stefan INSPIRE-00223610 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Simoniello, Rosa INSPIRE-00287242 ORCID:0000-0003-2042-6394 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Simpson, Ethan Lewis ORCID:0000-0002-9899-7413 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Simpson, Harry ORCID:0000-0003-3354-6088 ROR:https://ror.org/00ayhx656 GRID:grid.12082.39 Sussex U. Department of Physics and Astronomy, University of Sussex, Brighton, UK Simpson, Liana ORCID:0000-0002-4689-3903 ROR:https://ror.org/05gvnxz63 GRID:grid.187073.a Argonne High Energy Physics Division, Argonne National Laboratory, Argonne, IL, USA Simsek, Sinem INSPIRE-00641166 ORCID:0000-0002-9650-3846 ROR:https://ror.org/03081nz23 GRID:grid.508740.e Istinye U., Istanbul Istinye University, Sariyer, Istanbul, Türkiye Sindhu, Sreelakshmi ORCID:0000-0003-1235-5178 ROR:https://ror.org/01y9bpm73 GRID:grid.7450.6 Gottingen U., II. Phys. Inst. II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany Sinervo, Pekka INSPIRE-00126695 ORCID:0000-0002-5128-2373 ROR:https://ror.org/03dbr7087 GRID:grid.17063.33 Toronto U. Department of Physics, University of Toronto, Toronto, ON, Canada Singh, Siddharth ORCID:0000-0002-6227-6171 ROR:https://ror.org/05abbep66 GRID:grid.253264.4 Brandeis U. Department of Physics, Brandeis University, Waltham, MA, USA Singh, Sahibjeet ORCID:0000-0001-5641-5713 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Sinha, Supriya ORCID:0000-0002-3600-2804 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Sinha, Sukanya ORCID:0000-0002-2438-3785 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Sioli, Maximiliano INSPIRE-00126783 ORCID:0000-0002-0912-9121 ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Sioulas, Konstantinos ORCID:0009-0000-7702-2900 ROR:https://ror.org/04gnjpq42 GRID:grid.5216.0 Athens U. Physics Department, National and Kapodistrian University of Athens, Athens, Greece Siral, Ismet INSPIRE-00529755 ORCID:0000-0003-4554-1831 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Sitnikova, Elizaveta ORCID:0000-0003-3745-0454 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Sjoelin, Joergen INSPIRE-00180522 ORCID:0000-0002-5285-8995 ROR:https://ror.org/05f0yaq80 GRID:grid.10548.38 Stockholm U. Stockholm U., OKC Department of Physics, Stockholm University, Stockholm, Sweden Oskar Klein Centre, Stockholm, Sweden Skaf, Ali ORCID:0000-0003-3614-026X ROR:https://ror.org/01y9bpm73 GRID:grid.7450.6 Gottingen U., II. Phys. Inst. II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany Skorda, Eleni INSPIRE-00651292 ORCID:0000-0003-3973-9382 ROR:https://ror.org/03angcq70 GRID:grid.6572.6 Birmingham U. School of Physics and Astronomy, University of Birmingham, Birmingham, UK Skubic, Patrick INSPIRE-00127003 ORCID:0000-0001-6342-9283 ROR:https://ror.org/02aqsxs83 GRID:grid.266900.b Oklahoma U. Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, OK, USA Slawinska, Magdalena INSPIRE-00379172 ORCID:0000-0002-9386-9092 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Slazyk, Igor ORCID:0000-0002-3513-9737 ROR:https://ror.org/03zga2b32 GRID:grid.7914.b Bergen U. Department for Physics and Technology, University of Bergen, Bergen, Norway Sliusar, Ievgen ORCID:0000-0002-1905-3810 ROR:https://ror.org/01xtthb56 GRID:grid.5510.1 Oslo U. Department of Physics, University of Oslo, Oslo, Norway Smakhtin, Vladimir INSPIRE-00223693 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Smart, Ben Harry INSPIRE-00237541 ORCID:0000-0002-7192-4097 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Rutherford Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Smirnov, Serge INSPIRE-00184110 ORCID:0000-0002-6778-073X ROR:https://ror.org/03kn4xv14 GRID:grid.424823.b SAPHIR Millennium Inst. Millennium Institute for Subatomic physics at high energy frontier (SAPHIR), Santiago, Chile Smirnov, Yury INSPIRE-00287508 ORCID:0000-0002-2891-0781 ROR:https://ror.org/03081nz23 GRID:grid.508740.e Istinye U., Istanbul Istinye University, Sariyer, Istanbul, Türkiye Smirnova, Lidia INSPIRE-00223701 ORCID:0000-0002-0447-2975 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Smirnova, Oxana INSPIRE-00223710 ORCID:0000-0003-2517-531X ROR:https://ror.org/012a77v79 GRID:grid.4514.4 Lund U. Fysiska institutionen, Lunds universitet, Lund, Sweden Smith, Andrew Caldon ORCID:0000-0002-2488-407X ROR:https://ror.org/00hj8s172 GRID:grid.21729.3f Nevis Labs, Columbia U. Nevis Laboratory, Columbia University, Irvington, NY, USA Smith, Dylan Ronald ROR:https://ror.org/04gyf1771 GRID:grid.266093.8 UC, Irvine Department of Physics and Astronomy, University of California Irvine, Irvine, CA, USA Smith, James ORCID:0000-0003-4231-6241 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Smith, Matthew Bruce ORCID:0009-0009-0119-3127 ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Smith, Rachel Emma Clarke ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Smitmanns, Hendrik ORCID:0000-0001-6733-7044 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Smizanska, Maria INSPIRE-00127348 ORCID:0000-0002-3777-4734 GRID:grid.9835.7 ROR:https://ror.org/01g3dya06 GRID:grid.472314.7 Lancaster U. Physics Department, Lancaster University, Lancaster, UK Smolek, Karel INSPIRE-00223725 ORCID:0000-0002-5996-7000 ROR:https://ror.org/03kqpb082 GRID:grid.6652.7 Prague, Tech. U. Czech Technical University in Prague, Prague, Czech Republic Smolyanskiy, Petr ORCID:0000-0002-1122-1218 ROR:https://ror.org/03kqpb082 GRID:grid.6652.7 Prague, Tech. U. Czech Technical University in Prague, Prague, Czech Republic Snesarev, Andrei INSPIRE-00223739 ORCID:0000-0002-9067-8362 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Snoek, Hella INSPIRE-00042145 ORCID:0000-0003-4579-2120 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Snyder, Scott INSPIRE-00300553 ORCID:0000-0001-8610-8423 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Sobie, Randy INSPIRE-00127469 ORCID:0000-0001-7430-7599 ROR:https://ror.org/04s5mat29 GRID:grid.143640.4 GRID:grid.421197.8 Victoria U. IPP, Canada Department of Physics and Astronomy, University of Victoria, Victoria, BC, Canada Institute of Particle Physics (IPP), Toronto, Canada Soffer, Abi INSPIRE-00127510 ORCID:0000-0002-0749-2146 ROR:https://ror.org/04mhzgx49 GRID:grid.12136.37 Tel Aviv U. Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv, Israel Solans Sanchez, Carlos INSPIRE-00306293 ORCID:0000-0002-0518-4086 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Soldatov, Evgeny INSPIRE-00237550 ORCID:0000-0003-0694-3272 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Soldevila Serrano, Urmila INSPIRE-00232570 ORCID:0000-0002-7674-7878 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Solodkov, Sanya INSPIRE-00127668 ORCID:0000-0002-2737-8674 ROR:https://ror.org/03rp50x72 GRID:grid.11951.3d Witwatersrand U. Solodkov, A.A. ORCID:0000-0002-2737-8674 GRID:grid.11951.3d ROR:https://ror.org/03rp50x72 U. Witwatersrand, Johannesburg, Sch. Phys. School of Physics, University of the Witwatersrand, Johannesburg, South Africa Solomon, Shalu ORCID:0000-0002-7378-4454 ROR:https://ror.org/05abbep66 GRID:grid.253264.4 Brandeis U. Department of Physics, Brandeis University, Waltham, MA, USA Soloshenko, Aleksey INSPIRE-00368534 ORCID:0000-0001-9946-8188 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Solovieva, Ksenia ORCID:0000-0003-2168-9137 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Solovyanov, Oleg INSPIRE-00223789 ORCID:0000-0002-2598-5657 GRID:grid.433124.3 ROR:https://ror.org/0214k6v65 GRID:grid.470921.9 Clermont-Ferrand U. LPC, Université Clermont Auvergne, CNRS/IN2P3, Clermont-Ferrand, France Sommer, Philip INSPIRE-00364294 ORCID:0000-0003-1703-7304 ROR:https://ror.org/042aqky30 GRID:grid.4488.0 Dresden, Tech. U. Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany Sonay, Anil ORCID:0000-0003-4435-4962 ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Sopczak, Andre INSPIRE-00127812 ORCID:0000-0001-6981-0544 ROR:https://ror.org/03kqpb082 GRID:grid.6652.7 Prague, Tech. U. Czech Technical University in Prague, Prague, Czech Republic Sopio, Alex INSPIRE-00657464 ORCID:0000-0001-9116-880X ROR:https://ror.org/01nrxwf90 GRID:grid.4305.2 Edinburgh U. SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK Sopkova, Filomena INSPIRE-00573398 ORCID:0000-0002-6171-1119 ROR:https://ror.org/0046rz373 GRID:grid.435184.f Kosice, IEF Department of Subnuclear Physics, Institute of Experimental Physics of the Slovak Academy of Sciences, Kosice, Slovak Republic Sorenson, Josef Daniel ORCID:0000-0003-1278-7691 ROR:https://ror.org/05fs6jp91 GRID:grid.266832.b New Mexico U. Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA Sotarriva Alvarez, Isai Roberto ORCID:0009-0001-8347-0803 ROR:https://ror.org/0112mx960 GRID:grid.32197.3e Tokyo Inst. Tech. Department of Physics, Institute of Science, Tokyo, Japan Sothilingam, Varsiha ROR:https://ror.org/038t36y30 GRID:grid.7700.0 Kirchhoff Inst. Phys. Kirchhoff-Institut für Physik, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Soto Sandoval, Orlando Javier ORCID:0000-0002-8613-0310 ROR:https://ror.org/01ht74751 GRID:grid.19208.32 ROR:https://ror.org/03kn4xv14 GRID:grid.424823.b La Serena U. SAPHIR Millennium Inst. Millennium Institute for Subatomic physics at high energy frontier (SAPHIR), Santiago, Chile Instituto de Investigación Multidisciplinario en Ciencia y Tecnología y Departamento de Física, Universidad de La Serena, La Serena, Chile Sottocornola, Simone INSPIRE-00568855 ORCID:0000-0002-1430-5994 GRID:grid.411377.7 ROR:https://ror.org/01kg8sb98 GRID:grid.257410.5 Indiana U. Department of Physics, Indiana University, Bloomington, IN, USA Soualah, Rachik INSPIRE-00237567 ORCID:0000-0003-0124-3410 GRID:grid.440568.b Khalifa U. Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates Soumaimi, Zainab ORCID:0000-0002-8120-478X ROR:https://ror.org/00r8w8f84 GRID:grid.31143.34 Mohammed V U., Agdal Faculté des sciences, Université Mohammed V, Rabat, Morocco South, David INSPIRE-00185821 ORCID:0000-0002-0786-6304 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Soybelman, Nathalie ORCID:0000-0003-0209-0858 ROR:https://ror.org/0316ej306 GRID:grid.13992.30 Weizmann Inst. Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot, Israel Spagnolo, Stefania INSPIRE-00146499 ORCID:0000-0001-7482-6348 GRID:grid.470680.d ROR:https://ror.org/03fc1k060 GRID:grid.9906.6 INFN, Lecce Salento U. INFN Sezione di Lecce, Lecce, Italy Dipartimento di Matematica e Fisica, Università del Salento, Lecce, Italy Spalla, Margherita INSPIRE-00393248 ORCID:0000-0001-5813-1693 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Sperlich, Dennis INSPIRE-00407979 ORCID:0000-0003-4454-6999 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Spisso, Bernardino ORCID:0000-0003-1491-6151 GRID:grid.470211.1 ROR:https://ror.org/05290cv24 GRID:grid.4691.a Naples U. INFN Sezione di Napoli, Naples, Italy Dipartimento di Fisica, Università di Napoli, Naples, Italy Spiteri, Dwayne INSPIRE-00639250 ORCID:0000-0002-9226-2539 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Splendori, Leonardo ORCID:0000-0002-3763-1602 ROR:https://ror.org/00fw8bp86 GRID:grid.470046.1 Marseille, CPPM CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France Spousta, Martin INSPIRE-00223860 ORCID:0000-0001-5644-9526 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Staats, Ezekiel ORCID:0000-0002-6719-9726 ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Stamen, Rainer INSPIRE-00223881 ORCID:0000-0001-7282-949X ROR:https://ror.org/038t36y30 GRID:grid.7700.0 Kirchhoff Inst. Phys. Kirchhoff-Institut für Physik, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Stanecka, Ewa INSPIRE-00223897 ORCID:0000-0003-2546-0516 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Stanek-Maslouska, Weronika ORCID:0000-0002-7033-874X ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Stange, Max Vincent ORCID:0000-0003-4132-7205 ROR:https://ror.org/042aqky30 GRID:grid.4488.0 Dresden, Tech. U. Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany Stanislaus, Beojan INSPIRE-00580305 ORCID:0000-0001-9007-7658 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Stanitzki, Marcel INSPIRE-00006638 ORCID:0000-0002-7561-1960 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Stapf, Birgit Sylvia INSPIRE-00548935 ORCID:0000-0001-5374-6402 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Starchenko, E.A. ORCID:0000-0002-8495-0630 GRID:grid.9132.9 ROR:https://ror.org/055f7t516 Higher Sch. of Economics, Moscow Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Starchenko, Jenya INSPIRE-00223911 ORCID:0000-0002-8495-0630 CERN Stark, Giordon Holtsberg INSPIRE-00434905 ORCID:0000-0001-6616-3433 ROR:https://ror.org/03s65by71 GRID:grid.205975.c UC, Santa Cruz Santa Cruz Institute for Particle Physics, University of California Santa Cruz, Santa Cruz, CA, USA Stark, Jan INSPIRE-00050567 ORCID:0000-0002-1217-672X GRID:grid.15781.3a ROR:https://ror.org/03gc1p724 GRID:grid.508754.b L2IT, Toulouse L2IT, Université de Toulouse, CNRS/IN2P3, UPS, Toulouse, France Staroba, Pavel INSPIRE-00223923 ORCID:0000-0001-6009-6321 GRID:grid.424881.3 ROR:https://ror.org/04jymbd90 GRID:grid.425110.3 Prague, Inst. Phys. Institute of Physics of the Czech Academy of Sciences, Prague, Czech Republic Starovoitov, Pavel INSPIRE-00223937 ORCID:0000-0003-1990-0992 ROR:https://ror.org/00engpz63 GRID:grid.412789.1 U. Sharjah University of Sharjah, Sharjah, United Arab Emirates Staszewski, Rafal INSPIRE-00237571 ORCID:0000-0001-7708-9259 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Stauch, Celine ORCID:0009-0009-0318-2624 ROR:https://ror.org/05591te55 GRID:grid.5252.0 Munich U. Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany Stavropoulos, George INSPIRE-00232601 ORCID:0000-0002-8549-6855 ROR:https://ror.org/038jp4m40 GRID:grid.6083.d Democritos Nucl. Res. Ctr. National Centre for Scientific Research “Demokritos”’, Agia Paraskevi, Greece Stefl, Andreas ORCID:0009-0003-9757-6339 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Stein, Annika ORCID:0000-0003-0713-811X ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Steinberg, Peter Alan INSPIRE-00256449 ORCID:0000-0002-5349-8370 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Stelzer, Bernd INSPIRE-00040738 ORCID:0000-0003-4091-1784 ROR:https://ror.org/0213rcc28 GRID:grid.61971.38 ROR:https://ror.org/03kgj4539 GRID:grid.232474.4 Simon Fraser U. TRIUMF Department of Physics, Simon Fraser University, Burnaby, BC, Canada TRIUMF, Vancouver, BC, Canada Stelzer, Joerg INSPIRE-00027247 ORCID:0000-0003-0690-8573 ROR:https://ror.org/01an3r305 GRID:grid.21925.3d Pittsburgh U. Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA, USA Stelzer-Chilton, Oliver INSPIRE-00040726 ORCID:0000-0002-0791-9728 ROR:https://ror.org/03kgj4539 GRID:grid.232474.4 TRIUMF TRIUMF, Vancouver, BC, Canada Stenzel, Hasko INSPIRE-00128831 ORCID:0000-0002-4185-6484 ROR:https://ror.org/033eqas34 GRID:grid.8664.c Giessen U. II. Physikalisches Institut, Justus-Liebig-Universität Giessen, Giessen, Germany Stevenson, Thomas James INSPIRE-00533054 ORCID:0000-0003-2399-8945 ROR:https://ror.org/00ayhx656 GRID:grid.12082.39 Sussex U. Department of Physics and Astronomy, University of Sussex, Brighton, UK Stewart, Gordon GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Stewart, Graeme A. INSPIRE-00226135 ORCID:0000-0003-0182-7088 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Stewart, Joshua Ryan ORCID:0000-0002-8649-1917 ROR:https://ror.org/01g9vbr38 GRID:grid.65519.3e Oklahoma State U. Department of Physics, Oklahoma State University, Stillwater, OK, USA Stoicea, Gabriel INSPIRE-00185869 ORCID:0000-0002-7511-4614 ROR:https://ror.org/00d3pnh21 GRID:grid.443874.8 Bucharest, IFIN-HH Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania Stolarski, Marcin INSPIRE-00424361 ORCID:0000-0003-0276-8059 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 LIP, Lisbon Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Stonjek, Stefan INSPIRE-00027833 ORCID:0000-0001-7582-6227 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Straessner, Arno INSPIRE-00129196 ORCID:0000-0003-2460-6659 ROR:https://ror.org/042aqky30 GRID:grid.4488.0 Dresden, Tech. U. Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany Strandberg, Jonas INSPIRE-00038640 ORCID:0000-0002-8913-0981 ROR:https://ror.org/026vcq606 GRID:grid.5037.1 Royal Inst. Tech., Stockholm Department of Physics, Royal Institute of Technology, Stockholm, Sweden Strandberg, Sara INSPIRE-00024662 ORCID:0000-0001-7253-7497 ROR:https://ror.org/05f0yaq80 GRID:grid.10548.38 Stockholm U. Stockholm U., OKC Department of Physics, Stockholm University, Stockholm, Sweden Oskar Klein Centre, Stockholm, Sweden Stratmann, Maren ORCID:0000-0002-9542-1697 ROR:https://ror.org/00613ak93 GRID:grid.7787.f Wuppertal U. Fakultät für Mathematik und Naturwissenschaften, Fachgruppe Physik, Bergische Universität Wuppertal, Wuppertal, Germany Strauss, Mike INSPIRE-00129297 ORCID:0000-0002-0465-5472 ROR:https://ror.org/02aqsxs83 GRID:grid.266900.b Oklahoma U. Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, OK, USA Strebler, Thomas INSPIRE-00437520 ORCID:0000-0002-6972-7473 ROR:https://ror.org/00fw8bp86 GRID:grid.470046.1 Marseille, CPPM CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France Strizenec, Pavol INSPIRE-00129337 ORCID:0000-0003-0958-7656 ROR:https://ror.org/0046rz373 GRID:grid.435184.f Kosice, IEF Department of Subnuclear Physics, Institute of Experimental Physics of the Slovak Academy of Sciences, Kosice, Slovak Republic Strohmer, Raimund INSPIRE-00129353 ORCID:0000-0002-0062-2438 ROR:https://ror.org/00fbnyb24 GRID:grid.8379.5 Wurzburg U. Fakultät für Physik und Astronomie, Julius-Maximilians-Universität Würzburg, Würzburg, Germany Strom, David INSPIRE-00129396 ORCID:0000-0002-8302-386X ROR:https://ror.org/0293rh119 GRID:grid.170202.6 Oregon U. Institute for Fundamental Science, University of Oregon, Eugene, OR, USA Stroynowski, Ryszard INSPIRE-00129434 ORCID:0000-0002-7863-3778 ROR:https://ror.org/042tdr378 GRID:grid.263864.d Southern Methodist U. Physics Department, Southern Methodist University, Dallas, TX, USA Strubig, Antonia INSPIRE-00371025 ORCID:0000-0002-2382-6951 ROR:https://ror.org/05f0yaq80 GRID:grid.10548.38 Stockholm U. Stockholm U., OKC Department of Physics, Stockholm University, Stockholm, Sweden Oskar Klein Centre, Stockholm, Sweden Stucci, Stefania Antonia INSPIRE-00353969 ORCID:0000-0002-1639-4484 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Stugu, Bjarne INSPIRE-00129469 ORCID:0000-0002-1728-9272 ROR:https://ror.org/03zga2b32 GRID:grid.7914.b Bergen U. Department for Physics and Technology, University of Bergen, Bergen, Norway Stupak, John INSPIRE-00232658 ORCID:0000-0001-9610-0783 ROR:https://ror.org/02aqsxs83 GRID:grid.266900.b Oklahoma U. Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, OK, USA Styles, Nicholas INSPIRE-00049529 ORCID:0000-0001-6976-9457 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Su, Dong INSPIRE-00224038 ORCID:0000-0001-6980-0215 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Su, Shixiang ORCID:0000-0002-7356-4961 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Su, Xiaowen ORCID:0000-0001-9155-3898 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Suchy, Daniel ORCID:0009-0007-2966-1063 ROR:https://ror.org/0587ef340 GRID:grid.7634.6 Comenius U. Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia Sugizaki, Kaito ORCID:0000-0003-4364-006X ROR:https://ror.org/00b30xv10 GRID:grid.25879.31 Pennsylvania U. Department of Physics, University of Pennsylvania, Philadelphia, PA, USA Sulin, Vladimir INSPIRE-00224090 ORCID:0000-0003-3943-2495 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Sultan, D.M.S. INSPIRE-00548956 ORCID:0000-0003-2925-279X ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Sultanaliyeva, Laily ORCID:0000-0002-0059-0165 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Sultanov, Salekh INSPIRE-00009070 ORCID:0000-0003-2340-748X ROR:https://ror.org/03ewx7v96 GRID:grid.412749.d TOBB ETU, Ankara Sultansoy, S. ORCID:0000-0003-2340-748X GRID:grid.412749.d TOBB ETU, Ankara Division of Physics, TOBB University of Economics and Technology, Ankara, Türkiye Sun, Shaojun ORCID:0000-0001-5295-6563 GRID:grid.28803.31 ROR:https://ror.org/01y2jtd41 GRID:grid.14003.36 Wisconsin U., Madison Department of Physics, University of Wisconsin, Madison, WI, USA Sun, Weiyi ORCID:0000-0003-4002-0199 GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Gudnadottir, O.Sunneborn ORCID:0000-0002-6277-1877 ROR:https://ror.org/048a87296 GRID:grid.8993.b Uppsala U., Inst. Theor. Phys. Department of Physics and Astronomy, University of Uppsala, Uppsala, Sweden Sur, Nairit ORCID:0000-0001-5233-553X ROR:https://ror.org/012a77v79 GRID:grid.4514.4 Lund U. Fysiska institutionen, Lunds universitet, Lund, Sweden Sutton, Mark INSPIRE-00129913 ORCID:0000-0003-4893-8041 ROR:https://ror.org/00ayhx656 GRID:grid.12082.39 Sussex U. Department of Physics and Astronomy, University of Sussex, Brighton, UK Svatos, Michal INSPIRE-00237645 ORCID:0000-0002-7199-3383 GRID:grid.424881.3 ROR:https://ror.org/04jymbd90 GRID:grid.425110.3 Prague, Inst. Phys. Institute of Physics of the Czech Academy of Sciences, Prague, Czech Republic Swallow, Paul Nathaniel ORCID:0000-0003-2751-8515 ROR:https://ror.org/013meh722 GRID:grid.5335.0 Cambridge U. Cavendish Laboratory, University of Cambridge, Cambridge, UK Swiatlowski, Maximilian J. INSPIRE-00333637 ORCID:0000-0001-7287-0468 ROR:https://ror.org/03kgj4539 GRID:grid.232474.4 TRIUMF TRIUMF, Vancouver, BC, Canada Swirski, Thorben ORCID:0000-0002-4679-6767 ROR:https://ror.org/00fbnyb24 GRID:grid.8379.5 Wurzburg U. Fakultät für Physik und Astronomie, Julius-Maximilians-Universität Würzburg, Würzburg, Germany Swoboda, Anna ORCID:0009-0001-9026-8865 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Sykora, Ivan INSPIRE-00224134 ORCID:0000-0003-3447-5621 ROR:https://ror.org/0587ef340 GRID:grid.7634.6 Comenius U. Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia Sykora, Martin INSPIRE-00652066 ORCID:0000-0003-4422-6493 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Sykora, Tomas INSPIRE-00185883 ORCID:0000-0001-9585-7215 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Szczepanek, Natalia Diana ORCID:0009-0005-6281-6392 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Ta, Duc INSPIRE-00224156 ORCID:0000-0002-0918-9175 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Tackmann, Kerstin INSPIRE-00024648 ORCID:0000-0003-3917-3761 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a GRID:grid.9026.d DESY Hamburg U. Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Institut für Experimentalphysik, Universität Hamburg, Hamburg, Germany Taffard, Anyes INSPIRE-00054866 ORCID:0000-0002-5800-4798 ROR:https://ror.org/04gyf1771 GRID:grid.266093.8 UC, Irvine Department of Physics and Astronomy, University of California Irvine, Irvine, CA, USA Tafirout, Reda INSPIRE-00224168 ORCID:0000-0003-3425-794X ROR:https://ror.org/03kgj4539 GRID:grid.232474.4 TRIUMF TRIUMF, Vancouver, BC, Canada Takubo, Yosuke INSPIRE-00237659 ORCID:0000-0002-3143-8510 ROR:https://ror.org/01g5y5k24 GRID:grid.410794.f KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Talby, Mossadek INSPIRE-00224200 ORCID:0000-0001-9985-6033 ROR:https://ror.org/00fw8bp86 GRID:grid.470046.1 Marseille, CPPM CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France Talyshev, Alexei INSPIRE-00224212 ORCID:0000-0001-8560-3756 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Tam, Kai Chung ORCID:0000-0002-1433-2140 ROR:https://ror.org/02zhqgq86 GRID:grid.194645.b Hong Kong U. Department of Physics, University of Hong Kong, Hong Kong, China Tamir, Nadav Michael ORCID:0000-0002-4785-5124 ROR:https://ror.org/04mhzgx49 GRID:grid.12136.37 Tel Aviv U. Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv, Israel Tanaka, Aoto ORCID:0000-0002-9166-7083 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Tanaka, Junichi INSPIRE-00224238 ORCID:0000-0001-9994-5802 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Tanaka, Rei INSPIRE-00130555 ORCID:0000-0002-9929-1797 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Tanasini, Martino ORCID:0000-0002-6313-4175 ROR:https://ror.org/05qghxh33 GRID:grid.36425.36 SUNY, Stony Brook Departments of Physics and Astronomy, Stony Brook University, Stony Brook, NY, USA Tao, Zhengcheng ORCID:0000-0003-0362-8795 ROR:https://ror.org/03rmrcq20 GRID:grid.17091.3e British Columbia U. Department of Physics, University of British Columbia, Vancouver, BC, Canada Tapia Araya, Sebastian INSPIRE-00424626 ORCID:0000-0002-3659-7270 ROR:https://ror.org/05510vn56 GRID:grid.12148.3e Santa Maria U., Valparaiso Departamento de Física, Universidad Técnica Federico Santa María, Valparaíso, Chile Tapprogge, Stefan INSPIRE-00141544 ORCID:0000-0003-1251-3332 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Abouelfadl Mohamed, A.Tarek INSPIRE-00574959 ORCID:0000-0002-9252-7605 ROR:https://ror.org/05hs6h993 GRID:grid.17088.36 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA Tarem, Shlomit INSPIRE-00130701 ORCID:0000-0002-9296-7272 ROR:https://ror.org/03qryx823 GRID:grid.6451.6 Technion Department of Physics, Technion, Israel Institute of Technology, Haifa, Israel Tariq, Khuram ORCID:0000-0002-0584-8700 GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Tarna, Grigore INSPIRE-00575817 ORCID:0000-0002-5060-2208 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Tartarelli, Francesco INSPIRE-00130743 ORCID:0000-0002-4244-502X GRID:grid.470206.7 ROR:https://ror.org/04w4m6z96 INFN, Milan INFN Sezione di Milano, Milan, Italy Tartarin, Matthias Jean ORCID:0000-0002-3893-8016 GRID:grid.15781.3a ROR:https://ror.org/03gc1p724 GRID:grid.508754.b L2IT, Toulouse L2IT, Université de Toulouse, CNRS/IN2P3, UPS, Toulouse, France Tas, Petr INSPIRE-00306326 ORCID:0000-0001-5785-7548 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Tasevsky, Marek INSPIRE-00224260 ORCID:0000-0002-1535-9732 GRID:grid.424881.3 ROR:https://ror.org/04jymbd90 GRID:grid.425110.3 Prague, Inst. Phys. Institute of Physics of the Czech Academy of Sciences, Prague, Czech Republic Tassi, Enrico INSPIRE-00172313 ORCID:0000-0002-3335-6500 ROR:https://ror.org/02rc97e94 GRID:grid.7778.f GRID:grid.463190.9 INFN, Cosenza Calabria U. Dipartimento di Fisica, Università della Calabria, Rende, Italy INFN Gruppo Collegato di Cosenza, Laboratori Nazionali di Frascati, Frascati, Italy Tate, Aric ORCID:0000-0003-1583-2611 ROR:https://ror.org/047426m28 GRID:grid.35403.31 Illinois U., Urbana Department of Physics, University of Illinois, Urbana, IL, USA Tayalati, Yahya INSPIRE-00295930 ORCID:0000-0001-8760-7259 ROR:https://ror.org/00r8w8f84 GRID:grid.31143.34 ROR:https://ror.org/03xc55g68 GRID:grid.501615.6 Mohammed V U., Agdal Mohammed VI Polytech. U. Faculté des sciences, Université Mohammed V, Rabat, Morocco Institute of Applied Physics, Mohammed VI Polytechnic University, Ben Guerir, Morocco Taylor, Geoffrey Norman INSPIRE-00130854 ORCID:0000-0002-1831-4871 GRID:grid.1008.9 ROR:https://ror.org/01h06nz15 GRID:grid.453169.c Melbourne U. School of Physics, University of Melbourne, Victoria, Australia Taylor, Wendy Jane INSPIRE-00301147 ORCID:0000-0002-6596-9125 ROR:https://ror.org/05fq50484 GRID:grid.21100.32 York U., Canada Department of Physics and Astronomy, York University, Toronto, ON, Canada Tegetmeier, Anna Sophie ORCID:0009-0003-7413-3535 GRID:grid.15781.3a ROR:https://ror.org/03gc1p724 GRID:grid.508754.b L2IT, Toulouse L2IT, Université de Toulouse, CNRS/IN2P3, UPS, Toulouse, France Teixeira-Dias, Pedro INSPIRE-00130949 ORCID:0000-0001-9977-3836 ROR:https://ror.org/04g2vpn86 GRID:grid.4970.a Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham, UK Teoh, Jia Jian INSPIRE-00371033 ORCID:0000-0003-4803-5213 ROR:https://ror.org/03dbr7087 GRID:grid.17063.33 Toronto U. Department of Physics, University of Toronto, Toronto, ON, Canada Terashi, Koji INSPIRE-00131056 ORCID:0000-0001-6520-8070 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Terron Cuadrado, Juan INSPIRE-00145489 ORCID:0000-0003-0132-5723 ROR:https://ror.org/01cby8j38 GRID:grid.5515.4 Madrid, Autonoma U. Departamento de Física Teorica C-15 and CIAFF, Universidad Autónoma de Madrid, Madrid, Spain Terzo, Stefano INSPIRE-00349918 ORCID:0000-0003-3388-3906 ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Testa, Marianna INSPIRE-00224377 ORCID:0000-0003-1274-8967 ROR:https://ror.org/049jf1a25 GRID:grid.463190.9 Frascati INFN e Laboratori Nazionali di Frascati, Frascati, Italy Teuscher, Richard INSPIRE-00131201 ORCID:0000-0002-8768-2272 ROR:https://ror.org/03dbr7087 GRID:grid.17063.33 GRID:grid.421197.8 Toronto U. IPP, Canada Department of Physics, University of Toronto, Toronto, ON, Canada Institute of Particle Physics (IPP), Toronto, Canada Thaler, Alexander ORCID:0000-0003-0134-4377 ROR:https://ror.org/054pv6659 GRID:grid.5771.4 Innsbruck U. Department of Astro and Particle Physics, Universität Innsbruck, Innsbruck, Austria Theiner, Ondrej ORCID:0000-0002-6558-7311 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Theveneaux-Pelzer, Timothee INSPIRE-00224394 ORCID:0000-0002-9746-4172 ROR:https://ror.org/00fw8bp86 GRID:grid.470046.1 Marseille, CPPM CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France Thomas, David William INSPIRE-00584607 ROR:https://ror.org/04g2vpn86 GRID:grid.4970.a Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham, UK Thomas, Juergen INSPIRE-00224412 ORCID:0000-0001-6965-6604 ROR:https://ror.org/03angcq70 GRID:grid.6572.6 Birmingham U. School of Physics and Astronomy, University of Birmingham, Birmingham, UK Thompson, Emily Anne ORCID:0000-0001-7050-8203 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Thompson, Paul INSPIRE-00185894 ORCID:0000-0002-6239-7715 ROR:https://ror.org/03angcq70 GRID:grid.6572.6 Birmingham U. School of Physics and Astronomy, University of Birmingham, Birmingham, UK Thomson, Evelyn Jean INSPIRE-00300284 ORCID:0000-0001-6031-2768 ROR:https://ror.org/00b30xv10 GRID:grid.25879.31 Pennsylvania U. Department of Physics, University of Pennsylvania, Philadelphia, PA, USA Thornberry, R.E. ORCID:0009-0006-4037-0972 ROR:https://ror.org/042tdr378 GRID:grid.263864.d Southern Methodist U. Physics Department, Southern Methodist University, Dallas, TX, USA Tian, Chunhao ORCID:0009-0009-3407-6648 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Tian, Yusong ORCID:0000-0001-8739-9250 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Tikhomirov, Vladimir.O INSPIRE-00306337 ORCID:0000-0002-9634-0581 ROR:https://ror.org/03081nz23 GRID:grid.508740.e Istinye U., Istanbul Istinye University, Sariyer, Istanbul, Türkiye Tikhonov, Iouri INSPIRE-00198040 ORCID:0000-0002-8023-6448 CERN Tikhonov, Yu. A. ORCID:0000-0002-8023-6448 GRID:grid.9132.9 Unlisted Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Timoshenko, Sergei INSPIRE-00183342 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Timoshyn, Denys ORCID:0000-0003-0439-9795 ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Ting, Edmund Xiang Lin ORCID:0000-0002-5886-6339 ROR:https://ror.org/00892tw58 GRID:grid.1010.0 Adelaide U. Department of Physics, University of Adelaide, Adelaide, Australia Tipton, Paul Louis INSPIRE-00131560 ORCID:0000-0002-3698-3585 ROR:https://ror.org/03v76x132 GRID:grid.47100.32 Yale U. Department of Physics, Yale University, New Haven, CT, USA Tishelman-Charny, Abraham ORCID:0000-0002-7332-5098 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Todome, Kazuki INSPIRE-00410948 ORCID:0000-0003-2445-1132 ROR:https://ror.org/0112mx960 GRID:grid.32197.3e Tokyo Inst. Tech. Department of Physics, Institute of Science, Tokyo, Japan Todorova-Nova, S. INSPIRE-00224498 ORCID:0000-0003-2433-231X ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Toffolin, Leonardo ORCID:0000-0001-7170-410X ROR:https://ror.org/05ht0mh31 GRID:grid.5390.f INFN, Udine Udine U. INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy Dipartimento Politecnico di Ingegneria e Architettura, Università di Udine, Udine, Italy Togawa, Manabu ORCID:0000-0002-1128-4200 ROR:https://ror.org/01g5y5k24 GRID:grid.410794.f KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Tojo, Junji INSPIRE-00243319 ORCID:0000-0003-4666-3208 ROR:https://ror.org/00p4k0j84 GRID:grid.177174.3 Kyushu U. Research Center for Advanced Particle Physics and Department of Physics, Kyushu University, Fukuoka, Japan Tokar, Stano INSPIRE-00131686 ORCID:0000-0001-8777-0590 ROR:https://ror.org/0587ef340 GRID:grid.7634.6 Comenius U. Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia Toldaiev, Alex ORCID:0000-0002-8286-8780 ROR:https://ror.org/01kg8sb98 GRID:grid.257410.5 Indiana U. Toldaiev, O. ORCID:0000-0002-8286-8780 GRID:grid.411377.7 ROR:https://ror.org/02k40bc56 Indiana U. Department of Physics, Indiana University, Bloomington, IN, USA Tolkachev, Grigorii ORCID:0009-0001-5506-3573 ROR:https://ror.org/00fw8bp86 GRID:grid.470046.1 Marseille, CPPM CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France Tomoto, Makoto INSPIRE-00131811 ORCID:0000-0002-4603-2070 ROR:https://ror.org/01g5y5k24 GRID:grid.410794.f KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Tompkins, Lauren Alexandra INSPIRE-00059527 ORCID:0000-0001-8127-9653 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 ROR:https://ror.org/00f54p054 GRID:grid.168010.e SLAC Stanford U., Phys. Dept. SLAC National Accelerator Laboratory, Stanford, CA, USA Department of Physics, Stanford University, Stanford, CA, USA Torrence, Eric INSPIRE-00144881 ORCID:0000-0003-2911-8910 ROR:https://ror.org/0293rh119 GRID:grid.170202.6 Oregon U. Institute for Fundamental Science, University of Oregon, Eugene, OR, USA Torres, Heberth INSPIRE-00237687 ORCID:0000-0003-0822-1206 GRID:grid.15781.3a ROR:https://ror.org/03gc1p724 GRID:grid.508754.b L2IT, Toulouse L2IT, Université de Toulouse, CNRS/IN2P3, UPS, Toulouse, France Torro Pastor, Emma INSPIRE-00224567 ORCID:0000-0002-5507-7924 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Toscani, Mariana ORCID:0000-0001-9898-480X GRID:grid.531657.3 ROR:https://ror.org/0081fs513 GRID:grid.7345.5 Buenos Aires U. Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Física, y CONICET, Instituto de Física de Buenos Aires (IFIBA), Buenos Aires, Argentina Tosciri, Cecilia INSPIRE-00571611 ORCID:0000-0001-6485-2227 ROR:https://ror.org/024mw5h28 GRID:grid.170205.1 Chicago U., EFI Enrico Fermi Institute, University of Chicago, Chicago, IL, USA Tost, Marc ORCID:0000-0002-1647-4329 ROR:https://ror.org/00hj54h04 GRID:grid.89336.37 Texas U. Department of Physics, University of Texas at Austin, Austin, TX, USA Tovey, Daniel INSPIRE-00224589 ORCID:0000-0001-5543-6192 ROR:https://ror.org/05krs5044 GRID:grid.11835.3e Sheffield U. Department of Physics and Astronomy, University of Sheffield, Sheffield, UK Trefzger, Thomas INSPIRE-00224598 ORCID:0000-0002-9820-1729 ROR:https://ror.org/00fbnyb24 GRID:grid.8379.5 Wurzburg U. Fakultät für Physik und Astronomie, Julius-Maximilians-Universität Würzburg, Würzburg, Germany Tricarico, Pietro Matteo ORCID:0000-0002-7051-1223 ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Tricoli, Alessandro INSPIRE-00224619 ORCID:0000-0002-8224-6105 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Trigger, Isabel INSPIRE-00132228 ORCID:0000-0002-6127-5847 ROR:https://ror.org/03kgj4539 GRID:grid.232474.4 TRIUMF TRIUMF, Vancouver, BC, Canada Trincaz-Duvoid, Sophie INSPIRE-00132232 ORCID:0000-0001-5913-0828 GRID:grid.508487.6 ROR:https://ror.org/01hg8p552 GRID:grid.463935.e Paris U., VI-VII LPNHE, Sorbonne Université, Université Paris Cité, CNRS/IN2P3, Paris, France Trischuk, Dominique ORCID:0000-0001-6204-4445 ROR:https://ror.org/05abbep66 GRID:grid.253264.4 Brandeis U. Department of Physics, Brandeis University, Waltham, MA, USA Tropina, Anastasiia GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Truong, Loan INSPIRE-00444174 ORCID:0000-0001-8249-7150 ROR:https://ror.org/04z6c2n17 GRID:grid.412988.e Johannesburg U. Department of Mechanical Engineering Science, University of Johannesburg, Johannesburg, South Africa Trzebinski, Maciej INSPIRE-00237700 ORCID:0000-0002-5151-7101 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Trzupek, Adam INSPIRE-00256459 ORCID:0000-0001-6938-5867 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Tsai, Fang-Ying INSPIRE-00578869 ORCID:0000-0001-7878-6435 ROR:https://ror.org/05qghxh33 GRID:grid.36425.36 SUNY, Stony Brook Departments of Physics and Astronomy, Stony Brook University, Stony Brook, NY, USA Tsai, Meng-Ju ORCID:0000-0002-4728-9150 ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Tsiamis, Angelos ORCID:0000-0002-8761-4632 ROR:https://ror.org/02j61yw88 GRID:grid.4793.9 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Tsiareshka, Pavel INSPIRE-00224691 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Tsigaridas, Stergios ORCID:0000-0002-6393-2302 ROR:https://ror.org/03kgj4539 GRID:grid.232474.4 TRIUMF TRIUMF, Vancouver, BC, Canada Tsirigotis, Apostolos INSPIRE-00642210 ORCID:0000-0002-6632-0440 ROR:https://ror.org/02j61yw88 GRID:grid.4793.9 ROR:https://ror.org/02kq26x23 GRID:grid.55939.33 Aristotle U., Thessaloniki Hellenic Open U., Patras Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Hellenic Open University, Patras, Greece Tsiskaridze, Vakhtang INSPIRE-00224710 ORCID:0000-0002-2119-8875 ROR:https://ror.org/05fd1hd85 GRID:grid.26193.3f Tbilisi, Inst. Phys. E. Andronikashvili Institute of Physics, Iv. Javakhishvili Tbilisi State University, Tbilisi, Georgia Tskhadadze, Edisher INSPIRE-00224724 ORCID:0000-0002-6071-3104 ROR:https://ror.org/05fd1hd85 GRID:grid.26193.3f Tbilisi, Inst. Phys. E. Andronikashvili Institute of Physics, Iv. Javakhishvili Tbilisi State University, Tbilisi, Georgia Tsopoulou, Maria-Evanthia INSPIRE-00656037 ORCID:0000-0002-9104-2884 ROR:https://ror.org/02j61yw88 GRID:grid.4793.9 Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Tsujikawa, Yoshiaki ORCID:0000-0002-8784-5684 ROR:https://ror.org/02kpeqv85 GRID:grid.258799.8 Kyoto U. Faculty of Science, Kyoto University, Kyoto, Japan Tsukerman, Ilia INSPIRE-00224734 ORCID:0000-0002-8965-6676 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Tsulaia, Vakhtang INSPIRE-00224746 ORCID:0000-0001-8157-6711 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Tsuno, Soshi INSPIRE-00040679 ORCID:0000-0002-2055-4364 ROR:https://ror.org/01g5y5k24 GRID:grid.410794.f KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Tsuri, Kimu ORCID:0000-0001-6263-9879 ROR:https://ror.org/03599d813 GRID:grid.412314.1 Ochanomizu U. Ochanomizu University, Otsuka, Bunkyo-ku, Tokyo, Japan Tsybyshev, Tsybychev Dmitri INSPIRE-00132531 ORCID:0000-0001-8212-6894 ROR:https://ror.org/05qghxh33 GRID:grid.36425.36 SUNY, Stony Brook Departments of Physics and Astronomy, Stony Brook University, Stony Brook, NY, USA Tu, Yanjun INSPIRE-00024619 ORCID:0000-0002-5865-183X ROR:https://ror.org/02zhqgq86 GRID:grid.194645.b Hong Kong U. Department of Physics, University of Hong Kong, Hong Kong, China Tudorache, Alexandra INSPIRE-00237716 ORCID:0000-0001-6307-1437 ROR:https://ror.org/00d3pnh21 GRID:grid.443874.8 Bucharest, IFIN-HH Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania Tudorache, Valentina INSPIRE-00237721 ORCID:0000-0001-5384-3843 ROR:https://ror.org/00d3pnh21 GRID:grid.443874.8 Bucharest, IFIN-HH Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania Tuncay, Baris ORCID:0000-0002-6148-4550 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Turchikhin, Semen INSPIRE-00342946 ORCID:0000-0001-6506-3123 GRID:grid.5606.5 ROR:https://ror.org/02v89pq06 GRID:grid.470205.4 INFN, Genoa Genoa U. Dipartimento di Fisica, Università di Genova, Genoa, Italy INFN Sezione di Genova, Genoa, Italy Turk Cakir, Ilkay INSPIRE-00224776 ORCID:0000-0002-0726-5648 ROR:https://ror.org/01wntqw50 GRID:grid.7256.6 Ankara U. Department of Physics, Ankara University, Ankara, Türkiye Turra, Ruggero INSPIRE-00237738 ORCID:0000-0001-8740-796X GRID:grid.470206.7 ROR:https://ror.org/04w4m6z96 INFN, Milan INFN Sezione di Milano, Milan, Italy Turtuvshin, Tulgaa ORCID:0000-0001-9471-8627 GRID:grid.9132.9 GRID:grid.425564.4 ROR:https://ror.org/04q5v8a44 GRID:grid.444599.1 CERN Ulan Bator, Inst. Phys. Tech. Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Institute of Physics and Technology, Mongolian Academy of Sciences, Ulaanbaatar, Mongolia Tuts, Mike INSPIRE-00132751 ORCID:0000-0001-6131-5725 ROR:https://ror.org/00hj8s172 GRID:grid.21729.3f Nevis Labs, Columbia U. Nevis Laboratory, Columbia University, Irvington, NY, USA Tzamarias, Spyros INSPIRE-00237742 ORCID:0000-0002-8363-1072 ROR:https://ror.org/02j61yw88 GRID:grid.4793.9 Aristotle U., Thessaloniki N/A Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Tzovara, Eftychia INSPIRE-00577550 ORCID:0000-0002-0410-0055 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Uematsu, Yuma ORCID:0000-0002-0296-4028 ROR:https://ror.org/01g5y5k24 GRID:grid.410794.f KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Ukegawa, Fumihiko INSPIRE-00132910 ORCID:0000-0002-9813-7931 ROR:https://ror.org/02956yf07 GRID:grid.20515.33 Tsukuba U. Division of Physics and Tomonaga Center for the History of the Universe, Faculty of Pure and Applied Sciences, University of Tsukuba, Tsukuba, Japan Ulloa Poblete, Pablo Augusto ORCID:0000-0002-0789-7581 ROR:https://ror.org/01ht74751 GRID:grid.19208.32 ROR:https://ror.org/03kn4xv14 GRID:grid.424823.b La Serena U. SAPHIR Millennium Inst. Millennium Institute for Subatomic physics at high energy frontier (SAPHIR), Santiago, Chile Instituto de Investigación Multidisciplinario en Ciencia y Tecnología y Departamento de Física, Universidad de La Serena, La Serena, Chile Umaka, Ejiro Naomi ORCID:0000-0001-7725-8227 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Unal, Guillaume INSPIRE-00132979 ORCID:0000-0001-8130-7423 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Undrus, Alexander INSPIRE-00132984 ORCID:0000-0002-1384-286X ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Unel, Gokhan INSPIRE-00132990 ORCID:0000-0002-3274-6531 ROR:https://ror.org/04gyf1771 GRID:grid.266093.8 UC, Irvine Department of Physics and Astronomy, University of California Irvine, Irvine, CA, USA Urban, Josef INSPIRE-00244950 ORCID:0000-0002-7633-8441 ROR:https://ror.org/0046rz373 GRID:grid.435184.f Kosice, IEF Department of Subnuclear Physics, Institute of Experimental Physics of the Slovak Academy of Sciences, Kosice, Slovak Republic Urrejola, Pedro INSPIRE-00226996 ORCID:0000-0001-8309-2227 ROR:https://ror.org/04teye511 GRID:grid.7870.8 Chile U., Catolica Departamento de Física, Pontificia Universidad Católica de Chile, Santiago, Chile Usai, Giulio INSPIRE-00224879 ORCID:0000-0001-5032-7907 ROR:https://ror.org/019kgqr73 GRID:grid.267315.4 Texas U., Arlington Department of Physics, University of Texas at Arlington, Arlington, TX, USA Ushioda, Risa ORCID:0000-0002-4241-8937 ROR:https://ror.org/00ws30h19 GRID:grid.265074.2 Tokyo Metropolitan U. Graduate School of Science and Technology, Tokyo Metropolitan University, Tokyo, Japan Usman, Muhammad ORCID:0000-0003-1950-0307 ROR:https://ror.org/0161xgx34 GRID:grid.14848.31 Montreal U. Group of Particle Physics, University of Montreal, Montreal, QC, Canada Ustuner, Fuat ORCID:0009-0000-2512-020X ROR:https://ror.org/01nrxwf90 GRID:grid.4305.2 Edinburgh U. SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK Uysal, Zekeriya INSPIRE-00641172 ORCID:0000-0002-7110-8065 ROR:https://ror.org/03081nz23 GRID:grid.508740.e Istinye U., Istanbul Istinye University, Sariyer, Istanbul, Türkiye Vacek, Vic INSPIRE-00227000 ORCID:0000-0001-9584-0392 ROR:https://ror.org/03kqpb082 GRID:grid.6652.7 Prague, Tech. U. Czech Technical University in Prague, Prague, Czech Republic Vachon, Brigitte INSPIRE-00056509 ORCID:0000-0001-8703-6978 ROR:https://ror.org/01pxwe438 GRID:grid.14709.3b McGill U. Department of Physics, McGill University, Montreal, QC, Canada Vafeiadis, Theodoros ORCID:0000-0003-1492-5007 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Vaitkus, Andrius ORCID:0000-0002-0393-666X ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Valderanis, Chrysostomos INSPIRE-00232811 ORCID:0000-0001-9362-8451 ROR:https://ror.org/05591te55 GRID:grid.5252.0 Munich U. Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany Valdes Santurio, Eduardo INSPIRE-00441276 ORCID:0000-0001-9931-2896 ROR:https://ror.org/05f0yaq80 GRID:grid.10548.38 Stockholm U. Stockholm U., OKC Department of Physics, Stockholm University, Stockholm, Sweden Oskar Klein Centre, Stockholm, Sweden Valente, Marco INSPIRE-00562277 ORCID:0000-0002-0486-9569 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Valentinetti, Sara INSPIRE-00224911 ORCID:0000-0003-2044-6539 ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Valero Biot, Alberto INSPIRE-00306349 ORCID:0000-0002-9776-5880 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Valiente Moreno, Enrique ORCID:0000-0002-9784-5477 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Vallier, Alexis INSPIRE-00392294 ORCID:0000-0002-5496-349X GRID:grid.15781.3a ROR:https://ror.org/03gc1p724 GRID:grid.508754.b L2IT, Toulouse L2IT, Université de Toulouse, CNRS/IN2P3, UPS, Toulouse, France Valls Ferrer, Juan INSPIRE-00224946 ORCID:0000-0002-3953-3117 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Van Arneman, Dylan Remberto ORCID:0000-0002-3895-8084 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Van Der Graaf, Aaron ORCID:0000-0002-2854-3811 ROR:https://ror.org/01k97gp34 GRID:grid.5675.1 Dortmund U. Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany Van Der Schyf, Hannah ORCID:0000-0002-2093-763X ROR:https://ror.org/03rp50x72 GRID:grid.11951.3d Witwatersrand U. School of Physics, University of the Witwatersrand, Johannesburg, South Africa Van Gemmeren, Peter INSPIRE-00084279 ORCID:0000-0002-7227-4006 ROR:https://ror.org/05gvnxz63 GRID:grid.187073.a Argonne High Energy Physics Division, Argonne National Laboratory, Argonne, IL, USA Van Rijnbach, Milou ORCID:0000-0003-3728-5102 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Van Stroud, Samuel ORCID:0000-0002-7969-0301 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Van Vulpen, Ivo INSPIRE-00225014 ORCID:0000-0001-7074-5655 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Vana, Pavel ORCID:0000-0002-9701-792X ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Vanadia, Marco INSPIRE-00237763 ORCID:0000-0003-2684-276X GRID:grid.470219.9 ROR:https://ror.org/02p77k626 GRID:grid.6530.0 Rome U., Tor Vergata INFN Sezione di Roma Tor Vergata, Rome, Italy Dipartimento di Fisica, Università di Roma Tor Vergata, Rome, Italy Vande Voorde, Magdalena ORCID:0009-0007-3175-5325 ROR:https://ror.org/026vcq606 GRID:grid.5037.1 Royal Inst. Tech., Stockholm Department of Physics, Royal Institute of Technology, Stockholm, Sweden Vandelli, Wainer INSPIRE-00306351 ORCID:0000-0001-6581-9410 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Van De Wall, Evan Richard ORCID:0000-0003-3453-6156 ROR:https://ror.org/01g9vbr38 GRID:grid.65519.3e Oklahoma State U. Vandewall, E.R. ORCID:0000-0003-3453-6156 GRID:grid.65519.3e ROR:https://ror.org/01g9vbr38 Oklahoma State U. Department of Physics, Oklahoma State University, Stillwater, OK, USA Vannicola, Damiano ORCID:0000-0001-6814-4674 ROR:https://ror.org/04mhzgx49 GRID:grid.12136.37 Tel Aviv U. Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv, Israel Vannoli, Leonardo ORCID:0000-0002-9866-6040 ROR:https://ror.org/049jf1a25 GRID:grid.463190.9 Frascati INFN e Laboratori Nazionali di Frascati, Frascati, Italy Vari, Riccardo INSPIRE-00225039 ORCID:0000-0002-2814-1337 GRID:grid.470218.8 ROR:https://ror.org/05eva6s33 INFN, Rome INFN Sezione di Roma, Rome, Italy Varma, Mira ORCID:0000-0003-4323-5902 ROR:https://ror.org/03v76x132 GRID:grid.47100.32 Yale U. Department of Physics, Yale University, New Haven, CT, USA Varnes, Erich Ward INSPIRE-00133542 ORCID:0000-0001-7820-9144 ROR:https://ror.org/03m2x1q45 GRID:grid.134563.6 Arizona U. Department of Physics, University of Arizona, Tucson, AZ, USA Varni, Carlo INSPIRE-00534739 ORCID:0000-0001-6733-4310 ROR:https://ror.org/012wxa772 GRID:grid.261128.e Northern Illinois U. Department of Physics, Northern Illinois University, DeKalb, IL, USA Varouchas, Dimitris INSPIRE-00225042 ORCID:0000-0002-0734-4442 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Varriale, Lorenzo ORCID:0000-0003-4375-5190 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Varvell, Kevin INSPIRE-00225063 ORCID:0000-0003-1017-1295 ROR:https://ror.org/0384j8v12 GRID:grid.1013.3 Sydney U. School of Physics, University of Sydney, Sydney, Australia Vasile, Matei INSPIRE-00656040 ORCID:0000-0001-8415-0759 ROR:https://ror.org/00d3pnh21 GRID:grid.443874.8 Bucharest, IFIN-HH Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania Vaslin, Louis ROR:https://ror.org/01g5y5k24 GRID:grid.410794.f KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Vassilev, Mirella Dimitrova ORCID:0000-0003-2517-8502 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Vasyukov, Artem ORCID:0000-0003-2460-1276 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Vaughan, Luke Martin ORCID:0009-0005-8446-5255 ROR:https://ror.org/01g9vbr38 GRID:grid.65519.3e Oklahoma State U. Department of Physics, Oklahoma State University, Stillwater, OK, USA Vavricka, Radek ROR:https://ror.org/024d6js02 GRID:grid.4491.8 Charles U. Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic Vazquez Schroeder, Tamara INSPIRE-00237778 ORCID:0000-0002-9780-099X ROR:https://ror.org/03kpps236 GRID:grid.473715.3 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain Veatch, Jason Robert INSPIRE-00354304 ORCID:0000-0003-0855-0958 GRID:grid.213902.b ROR:https://ror.org/03enmdz06 GRID:grid.253558.c Fresno State California State University, Long Beach, CA, USA Vecchio, Valentina INSPIRE-00581467 ORCID:0000-0002-1351-6757 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Veen, Michiel Jan ORCID:0000-0001-5284-2451 ROR:https://ror.org/0072zz521 GRID:grid.266683.f Massachusetts U., Amherst Department of Physics, University of Massachusetts, Amherst, MA, USA Veliscek, Iza ORCID:0000-0003-2432-3309 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Velkovska, Iskra ORCID:0009-0009-4142-3409 GRID:grid.8954.0 ROR:https://ror.org/05060sz93 GRID:grid.11375.31 Stefan Inst., Ljubljana Department of Experimental Particle Physics, Jožef Stefan Institute and Department of Physics, University of Ljubljana, Ljubljana, Slovenia Veloce, Laurelle Maria INSPIRE-00406224 ORCID:0000-0003-1827-2955 ROR:https://ror.org/03dbr7087 GRID:grid.17063.33 Toronto U. Department of Physics, University of Toronto, Toronto, ON, Canada Veloso, Filipe INSPIRE-00034280 ORCID:0000-0002-5956-4244 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 ROR:https://ror.org/04z8k9a98 GRID:grid.8051.c LIP, Lisbon Coimbra U. Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Departamento de Física, Universidade de Coimbra, Coimbra, Portugal Veneziano, Stefano INSPIRE-00225080 ORCID:0000-0002-2598-2659 GRID:grid.470218.8 ROR:https://ror.org/05eva6s33 INFN, Rome INFN Sezione di Roma, Rome, Italy Ventura, Andrea INSPIRE-00058029 ORCID:0000-0002-3368-3413 GRID:grid.470680.d ROR:https://ror.org/03fc1k060 GRID:grid.9906.6 INFN, Lecce Salento U. INFN Sezione di Lecce, Lecce, Italy Dipartimento di Matematica e Fisica, Università del Salento, Lecce, Italy Verbytskyi, Andrii INSPIRE-00173456 ORCID:0000-0002-3713-8033 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Verducci, Monica INSPIRE-00225123 ORCID:0000-0001-8209-4757 GRID:grid.470216.6 ROR:https://ror.org/03ad39j10 GRID:grid.5395.a INFN, Pisa Pisa U. INFN Sezione di Pisa, Pisa, Italy Dipartimento di Fisica E. Fermi, Università di Pisa, Pisa, Italy Vergis, Christos INSPIRE-00649349 ORCID:0000-0002-3228-6715 ROR:https://ror.org/026zzn846 GRID:grid.4868.2 Queen Mary, U. of London Department of Physics and Astronomy, Queen Mary University of London, London, UK Verissimo De Araujo, Micael ORCID:0000-0001-8060-2228 ROR:https://ror.org/03490as77 GRID:grid.8536.8 Rio de Janeiro Federal U. Universidade Federal do Rio de Janeiro COPPE/EE/IF, Rio de Janeiro, Brazil Verkerke, Wouter INSPIRE-00029133 ORCID:0000-0001-5468-2025 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Vermeulen, J.C. INSPIRE-00140176 ORCID:0000-0003-4378-5736 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Vernieri, Caterina INSPIRE-00342428 ORCID:0000-0002-0235-1053 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Vessella, Makayla ORCID:0000-0001-8669-9139 ROR:https://ror.org/04gyf1771 GRID:grid.266093.8 UC, Irvine Department of Physics and Astronomy, University of California Irvine, Irvine, CA, USA Vetterli, Michel Joseph INSPIRE-00133870 ORCID:0000-0002-7223-2965 ROR:https://ror.org/0213rcc28 GRID:grid.61971.38 ROR:https://ror.org/03kgj4539 GRID:grid.232474.4 Simon Fraser U. TRIUMF Vetterli, M.C. ORCID:0000-0002-7223-2965 GRID:grid.61971.38 GRID:grid.232474.4 ROR:https://ror.org/0213rcc28 ROR:https://ror.org/03kgj4539 Simon Fraser U. TRIUMF Department of Physics, Simon Fraser University, Burnaby, BC, Canada TRIUMF, Vancouver, BC, Canada Vgenopoulos, Andreas ORCID:0000-0002-7011-9432 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Viaux Maira, Nicolas INSPIRE-00384010 ORCID:0000-0002-5102-9140 ROR:https://ror.org/05510vn56 GRID:grid.12148.3e Santa Maria U., Valparaiso Departamento de Física, Universidad Técnica Federico Santa María, Valparaíso, Chile Vickey, Trevor INSPIRE-00052371 ORCID:0000-0002-1596-2611 ROR:https://ror.org/05krs5044 GRID:grid.11835.3e Sheffield U. Department of Physics and Astronomy, University of Sheffield, Sheffield, UK Vickey Boeriu, Oana INSPIRE-00237790 ORCID:0000-0002-6497-6809 ROR:https://ror.org/05krs5044 GRID:grid.11835.3e Sheffield U. Department of Physics and Astronomy, University of Sheffield, Sheffield, UK Viehhauser, G.H.A. INSPIRE-00225132 ORCID:0000-0002-0237-292X ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Vigani, Luigi INSPIRE-00427277 ORCID:0000-0002-6270-9176 ROR:https://ror.org/038t36y30 GRID:grid.7700.0 Heidelberg U. Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Vigl, Matthias ORCID:0000-0003-2281-3822 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Villa, Mauro INSPIRE-00225145 ORCID:0000-0002-9181-8048 ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Perez, M.Villaplana INSPIRE-00225163 ORCID:0000-0002-0048-4602 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Villhauer, Elena Michelle ROR:https://ror.org/024mw5h28 GRID:grid.170205.1 Chicago U., EFI Enrico Fermi Institute, University of Chicago, Chicago, IL, USA Vilucchi, Elisabetta INSPIRE-00225177 ORCID:0000-0002-4839-6281 ROR:https://ror.org/049jf1a25 GRID:grid.463190.9 Frascati INFN e Laboratori Nazionali di Frascati, Frascati, Italy Vincent, Morvan ORCID:0009-0005-8063-4322 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Vincter, Manuella INSPIRE-00133971 ORCID:0000-0002-5338-8972 ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Visibile, Andrea ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Vittori, Camilla INSPIRE-00453010 ORCID:0000-0001-9156-970X ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Vivarelli, Iacopo INSPIRE-00016420 ORCID:0000-0003-0097-123X ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Voevodina, Elena ORCID:0000-0003-2987-3772 ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Vogel, Fabian ORCID:0000-0001-8891-8606 ROR:https://ror.org/05591te55 GRID:grid.5252.0 Munich U. Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany Voigt, Johann Christoph ORCID:0009-0005-7503-3370 ROR:https://ror.org/042aqky30 GRID:grid.4488.0 Dresden, Tech. U. Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany Vokac, Petr INSPIRE-00007099 ORCID:0000-0002-3429-4778 ROR:https://ror.org/03kqpb082 GRID:grid.6652.7 Prague, Tech. U. Czech Technical University in Prague, Prague, Czech Republic Volkotrub, Yu. ORCID:0000-0002-3114-3798 GRID:grid.5522.0 ROR:https://ror.org/03bqmcz70 Jagiellonian U. Marian Smoluchowski Institute of Physics, Jagiellonian University, Krakow, Poland Volkotrub, Yuriy ORCID:0000-0002-3114-3798 ROR:https://ror.org/03bqmcz70 GRID:grid.5522.0 Jagiellonian U. Vomberg, Luka ORCID:0009-0000-1719-6976 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Von Torne, Eckhard INSPIRE-00058359 ORCID:0000-0001-8899-4027 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Vormwald, Benedikt ORCID:0000-0003-2607-7287 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Vorobev, Konstantin INSPIRE-00364793 ORCID:0000-0002-7110-8516 ROR:https://ror.org/00py81415 GRID:grid.26009.3d Duke U. Department of Physics, Duke University, Durham, NC, USA Vos, Marcel INSPIRE-00240580 ORCID:0000-0001-8474-5357 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Voss, Katharina ORCID:0000-0002-4157-0996 ROR:https://ror.org/02azyry73 GRID:grid.5836.8 Siegen U. Department Physik, Universität Siegen, Siegen, Germany Vozak, Matous ORCID:0000-0002-7561-204X ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Vozdecky, Lubos ORCID:0000-0003-2541-4827 ROR:https://ror.org/02aqsxs83 GRID:grid.266900.b Oklahoma U. Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, OK, USA Vranjes, Nenad INSPIRE-00225275 ORCID:0000-0001-5415-5225 GRID:grid.7149.b ROR:https://ror.org/04h3h5b09 GRID:grid.435330.2 Belgrade U. Institute of Physics, University of Belgrade, Belgrade, Serbia Vranjes Milosavljevic, Marija INSPIRE-00225280 ORCID:0000-0003-4477-9733 GRID:grid.7149.b ROR:https://ror.org/04h3h5b09 GRID:grid.435330.2 Belgrade U. Institute of Physics, University of Belgrade, Belgrade, Serbia Vreeswijk, Marcel INSPIRE-00225293 ORCID:0000-0001-8083-0001 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Vu, Ngoc Khanh ORCID:0000-0002-6251-1178 ROR:https://ror.org/01qp9b498 GRID:grid.482813.4 ROR:https://ror.org/0220qvk04 GRID:grid.16821.3c Tsung-Dao Lee Inst., Shanghai Shanghai Jiao Tong U. State Key Laboratory of Dark Matter Physics, School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MOE), SKLPPC, Shanghai, China State Key Laboratory of Dark Matter Physics, Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China Vuillermet, Raphael INSPIRE-00225322 ORCID:0000-0003-3208-9209 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Vujinovic, Olivera ORCID:0000-0003-3473-7038 ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Vukotic, Ilija INSPIRE-00225336 ORCID:0000-0003-0472-3516 ROR:https://ror.org/024mw5h28 GRID:grid.170205.1 Chicago U., EFI Enrico Fermi Institute, University of Chicago, Chicago, IL, USA Vyas, Ishan Kiritbhai ORCID:0009-0008-7683-7428 ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Wack, Julian Friedrich ORCID:0009-0004-5387-7866 ROR:https://ror.org/013meh722 GRID:grid.5335.0 Cambridge U. Cavendish Laboratory, University of Cambridge, Cambridge, UK Wada, Sayaka ORCID:0000-0002-8600-9799 ROR:https://ror.org/02956yf07 GRID:grid.20515.33 Tsukuba U. Division of Physics and Tomonaga Center for the History of the Universe, Faculty of Pure and Applied Sciences, University of Tsukuba, Tsukuba, Japan Wagner, Cooper ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Wagner, Johannes Michael ORCID:0000-0002-5588-0020 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Wagner, Wolfgang INSPIRE-00051400 ORCID:0000-0002-9198-5911 ROR:https://ror.org/00613ak93 GRID:grid.7787.f Wuppertal U. Fakultät für Mathematik und Naturwissenschaften, Fachgruppe Physik, Bergische Universität Wuppertal, Wuppertal, Germany Wahdan, Shayma ORCID:0000-0002-6324-8551 ROR:https://ror.org/00613ak93 GRID:grid.7787.f Wuppertal U. Fakultät für Mathematik und Naturwissenschaften, Fachgruppe Physik, Bergische Universität Wuppertal, Wuppertal, Germany Wahlberg, Hernan Pablo INSPIRE-00153915 ORCID:0000-0003-0616-7330 GRID:grid.450288.3 ROR:https://ror.org/01tjs6929 GRID:grid.9499.d La Plata U. Instituto de Física La Plata, Universidad Nacional de La Plata and CONICET, La Plata, Argentina Waits, Connor Hilton ORCID:0009-0006-1584-6916 ROR:https://ror.org/02aqsxs83 GRID:grid.266900.b Oklahoma U. Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, OK, USA Walder, James William INSPIRE-00007572 ORCID:0000-0002-9039-8758 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Rutherford Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Walker, Rodney INSPIRE-00225350 ORCID:0000-0001-8535-4809 ROR:https://ror.org/05591te55 GRID:grid.5252.0 Munich U. Fakultät für Physik, Ludwig-Maximilians-Universität München, Munich, Germany Walkingshaw Pass, Katie GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Walkowiak, Wolfgang INSPIRE-00134689 ORCID:0000-0002-0385-3784 ROR:https://ror.org/02azyry73 GRID:grid.5836.8 Siegen U. Department Physik, Universität Siegen, Siegen, Germany Wall, Andie ORCID:0000-0002-7867-7922 ROR:https://ror.org/00b30xv10 GRID:grid.25879.31 Pennsylvania U. Department of Physics, University of Pennsylvania, Philadelphia, PA, USA Wallin, Erik Jakob ORCID:0000-0002-4848-5540 ROR:https://ror.org/012a77v79 GRID:grid.4514.4 Lund U. Fysiska institutionen, Lunds universitet, Lund, Sweden Wamorkar, Tanvi ORCID:0000-0001-5551-5456 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Wandall-Christensen, Katinka ORCID:0009-0003-7812-9023 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Wang, Aonan ORCID:0009-0001-4670-3559 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Wang, Alex Zeng ORCID:0000-0003-2482-711X ROR:https://ror.org/03s65by71 GRID:grid.205975.c UC, Santa Cruz Santa Cruz Institute for Particle Physics, University of California Santa Cruz, Santa Cruz, CA, USA Wang, Chen ORCID:0000-0001-9116-055X ROR:https://ror.org/023b0x485 GRID:grid.5802.f Mainz U. Institut für Physik, Universität Mainz, Mainz, Germany Wang, Chenliang ORCID:0000-0002-8487-8480 ROR:https://ror.org/00hj54h04 GRID:grid.89336.37 Texas U. Department of Physics, University of Texas at Austin, Austin, TX, USA Wang, Haichen INSPIRE-00225389 ORCID:0000-0003-3952-8139 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Wang, Jiawei ORCID:0000-0002-5246-5497 ROR:https://ror.org/00q4vv597 GRID:grid.24515.37 Hong Kong U. Sci. Tech. Department of Physics and Institute for Advanced Study, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China Wang, Peng ORCID:0000-0002-1024-0687 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Wang, Peng ORCID:0000-0001-7613-5997 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Wang, Rongkun INSPIRE-00578185 ORCID:0000-0001-9839-608X ROR:https://ror.org/03vek6s52 GRID:grid.38142.3c Harvard U., Phys. Dept. Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA, USA Wang, Rui INSPIRE-00237848 ORCID:0000-0001-8530-6487 ROR:https://ror.org/05gvnxz63 GRID:grid.187073.a Argonne High Energy Physics Division, Argonne National Laboratory, Argonne, IL, USA Wang, Song-Ming INSPIRE-00134900 ORCID:0000-0002-5821-4875 ROR:https://ror.org/05bxb3784 GRID:grid.28665.3f Taiwan, Inst. Phys. Institute of Physics, Academia Sinica, Taipei, Taiwan Wang, Shudong ORCID:0000-0001-7477-4955 GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Wang, Tao ORCID:0000-0002-1152-2221 GRID:grid.420012.5 ROR:https://ror.org/016xsfp80 GRID:grid.5590.9 Nijmegen U. Institute for Mathematics, Astrophysics and Particle Physics, Radboud University/Nikhef, Nijmegen, The Netherlands Wang, Tianao ORCID:0009-0000-3537-0747 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Wang, Weitao INSPIRE-00581470 ORCID:0000-0002-7184-9891 ROR:https://ror.org/036jqmy94 GRID:grid.214572.7 Iowa U. University of Iowa, Iowa City, IA, USA Wang, Wei INSPIRE-00533069 ORCID:0000-0001-9714-9319 GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Wang, Xiaoning ORCID:0000-0002-2411-7399 ROR:https://ror.org/047426m28 GRID:grid.35403.31 Illinois U., Urbana Department of Physics, University of Illinois, Urbana, IL, USA Wang, Xi ORCID:0000-0001-5173-2234 ROR:https://ror.org/0220qvk04 GRID:grid.16821.3c Shanghai Jiao Tong U. State Key Laboratory of Dark Matter Physics, School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MOE), SKLPPC, Shanghai, China Wang, Xilin ORCID:0009-0002-2575-2260 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Wang, Yuhao ORCID:0000-0003-4693-5365 ROR:https://ror.org/01rxvg760 GRID:grid.41156.37 Nanjing U. Department of Physics, Nanjing University, Nanjing, China Wang, Yinmiao ORCID:0009-0003-3345-4359 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Wang, Zirui INSPIRE-00537852 ORCID:0000-0002-0928-2070 ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Wang, Zhen ORCID:0000-0002-9862-3091 GRID:grid.16821.3c ROR:https://ror.org/01qp9b498 GRID:grid.482813.4 Tsung-Dao Lee Inst., Shanghai State Key Laboratory of Dark Matter Physics, Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China Wang, Zhichen ORCID:0000-0003-0756-0206 ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Wanotayaroj, Chaowaroj INSPIRE-00366124 ORCID:0000-0002-8178-5705 ROR:https://ror.org/01g5y5k24 GRID:grid.410794.f KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Warburton, Andreas INSPIRE-00134957 ORCID:0000-0002-2298-7315 ROR:https://ror.org/01pxwe438 GRID:grid.14709.3b McGill U. Department of Physics, McGill University, Montreal, QC, Canada Warnerbring, Adam Leonard ORCID:0009-0008-9698-5372 ROR:https://ror.org/02azyry73 GRID:grid.5836.8 Siegen U. Department Physik, Universität Siegen, Siegen, Germany Waterhouse, Sam ORCID:0000-0002-6382-1573 ROR:https://ror.org/04g2vpn86 GRID:grid.4970.a Royal Holloway, U. of London Department of Physics, Royal Holloway University of London, Egham, UK Watson, Alan INSPIRE-00135097 ORCID:0000-0001-7052-7973 ROR:https://ror.org/03angcq70 GRID:grid.6572.6 Birmingham U. School of Physics and Astronomy, University of Birmingham, Birmingham, UK Watson, Harriet ORCID:0000-0003-3704-5782 ROR:https://ror.org/01nrxwf90 GRID:grid.4305.2 Edinburgh U. SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK Watson, Miriam INSPIRE-00225428 ORCID:0000-0002-9724-2684 ROR:https://ror.org/03angcq70 GRID:grid.6572.6 Birmingham U. School of Physics and Astronomy, University of Birmingham, Birmingham, UK Watton, Elliot ORCID:0000-0003-3352-126X GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Watts, Gordon INSPIRE-00135120 ORCID:0000-0002-0753-7308 GRID:grid.34477.33 ROR:https://ror.org/03d17d270 GRID:grid.504155.0 Washington U., Seattle Department of Physics, University of Washington, Seattle, WA, USA Waugh, Benedict Martin INSPIRE-00145415 ORCID:0000-0003-0872-8920 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Webb, James Maitland ORCID:0000-0002-5294-6856 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Weber, Christian INSPIRE-00579732 ORCID:0000-0002-8659-5767 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Weber, Hannsjorg ORCID:0000-0002-5074-0539 ROR:https://ror.org/01hcx6992 GRID:grid.7468.d Humboldt U., Berlin Institut für Physik, Humboldt Universität zu Berlin, Berlin, Germany Weber, Michele INSPIRE-00135206 ORCID:0000-0002-2770-9031 ROR:https://ror.org/02k7v4d05 GRID:grid.5734.5 Bern U., LHEP Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics, University of Bern, Bern, Switzerland Weber, Sebastian Mario INSPIRE-00565709 ORCID:0000-0002-2841-1616 ROR:https://ror.org/038t36y30 GRID:grid.7700.0 Kirchhoff Inst. Phys. Kirchhoff-Institut für Physik, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Wei, Chuanshun ORCID:0000-0001-9524-8452 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Wei, Yingjie ORCID:0000-0001-9725-2316 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Weidberg, Anthony INSPIRE-00148085 ORCID:0000-0002-5158-307X ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Weik, Edison James ORCID:0000-0003-4563-2346 ROR:https://ror.org/0190ak572 GRID:grid.137628.9 New York U. Department of Physics, New York University, New York, NY, USA Weingarten, Jens INSPIRE-00225459 ORCID:0000-0003-2165-871X ROR:https://ror.org/01k97gp34 GRID:grid.5675.1 Dortmund U. Fakultät Physik, Technische Universität Dortmund, Dortmund, Germany Weiser, Christian INSPIRE-00225468 ORCID:0000-0002-6456-6834 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Wells, Craig John ORCID:0000-0002-5450-2511 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Wenaus, Torre INSPIRE-00135450 ORCID:0000-0002-8678-893X ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Wengler, Thorsten INSPIRE-00145320 ORCID:0000-0002-4375-5265 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Wenke, Nina Stephanie ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Wermes, Norbert INSPIRE-00135524 ORCID:0000-0001-9971-0077 ROR:https://ror.org/041nas322 GRID:grid.10388.32 Bonn U. Physikalisches Institut, Universität Bonn, Bonn, Germany Wessels, Martin INSPIRE-00217771 ORCID:0000-0002-8192-8999 ROR:https://ror.org/038t36y30 GRID:grid.7700.0 Kirchhoff Inst. Phys. Kirchhoff-Institut für Physik, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Wharton, Andrew Mark INSPIRE-00390886 ORCID:0000-0002-9507-1869 GRID:grid.9835.7 ROR:https://ror.org/01g3dya06 GRID:grid.472314.7 Lancaster U. Physics Department, Lancaster University, Lancaster, UK White, Aaron Stephen INSPIRE-00547705 ORCID:0000-0003-0714-1466 ROR:https://ror.org/03vek6s52 GRID:grid.38142.3c Harvard U., Phys. Dept. Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA, USA White, Andrew INSPIRE-00013505 ORCID:0000-0001-8315-9778 ROR:https://ror.org/019kgqr73 GRID:grid.267315.4 Texas U., Arlington Department of Physics, University of Texas at Arlington, Arlington, TX, USA White, Martin John INSPIRE-00162417 ORCID:0000-0001-5474-4580 ROR:https://ror.org/00892tw58 GRID:grid.1010.0 Adelaide U. Department of Physics, University of Adelaide, Adelaide, Australia Whiteson, Daniel INSPIRE-00054720 ORCID:0000-0002-2005-3113 ROR:https://ror.org/04gyf1771 GRID:grid.266093.8 UC, Irvine Department of Physics and Astronomy, University of California Irvine, Irvine, CA, USA Wickremasinghe, Lakmin ORCID:0000-0002-2711-4820 ROR:https://ror.org/035t8zc32 GRID:grid.136593.b Osaka U. Graduate School of Science, University of Osaka, Osaka, Japan Wiedenmann, Werner INSPIRE-00225736 ORCID:0000-0003-3605-3633 GRID:grid.28803.31 ROR:https://ror.org/01y2jtd41 GRID:grid.14003.36 Wisconsin U., Madison Department of Physics, University of Wisconsin, Madison, WI, USA Wielers, Monika INSPIRE-00225743 ORCID:0000-0001-9232-4827 ROR:https://ror.org/03gq8fr08 GRID:grid.76978.37 Rutherford Particle Physics Department, Rutherford Appleton Laboratory, Didcot, UK Wierda, Renske ORCID:0000-0002-9569-2745 ROR:https://ror.org/026vcq606 GRID:grid.5037.1 Royal Inst. Tech., Stockholm Department of Physics, Royal Institute of Technology, Stockholm, Sweden Wiglesworth, Craig INSPIRE-00225769 ORCID:0000-0001-6219-8946 ROR:https://ror.org/035b05819 GRID:grid.5254.6 Bohr Inst. Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark Wilkens, Henric INSPIRE-00225806 ORCID:0000-0002-8483-9502 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Wilkinson, Jeremy ORCID:0000-0003-0924-7889 ROR:https://ror.org/013meh722 GRID:grid.5335.0 Cambridge U. Cavendish Laboratory, University of Cambridge, Cambridge, UK Williams, Daniel ORCID:0000-0002-5646-1856 ROR:https://ror.org/00hj8s172 GRID:grid.21729.3f Nevis Labs, Columbia U. Nevis Laboratory, Columbia University, Irvington, NY, USA Williams, Hugh INSPIRE-00136066 ROR:https://ror.org/00b30xv10 GRID:grid.25879.31 Pennsylvania U. Department of Physics, University of Pennsylvania, Philadelphia, PA, USA Williams, Sarah Louise INSPIRE-00287350 ORCID:0000-0001-6174-401X ROR:https://ror.org/013meh722 GRID:grid.5335.0 Cambridge U. Cavendish Laboratory, University of Cambridge, Cambridge, UK Willocq, Stephane INSPIRE-00136116 ORCID:0000-0002-4120-1453 ROR:https://ror.org/0072zz521 GRID:grid.266683.f Massachusetts U., Amherst Department of Physics, University of Massachusetts, Amherst, MA, USA Wilson, Benjamin James ORCID:0000-0002-7811-7474 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Wilson-Edwards, Danielle Joan ORCID:0000-0002-3307-903X ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Windischhofer, Philipp ORCID:0000-0001-5038-1399 ROR:https://ror.org/024mw5h28 GRID:grid.170205.1 Chicago U., EFI Enrico Fermi Institute, University of Chicago, Chicago, IL, USA Winkel, Federico ORCID:0000-0003-1532-6399 GRID:grid.531657.3 ROR:https://ror.org/0081fs513 GRID:grid.7345.5 Buenos Aires U. Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Física, y CONICET, Instituto de Física de Buenos Aires (IFIBA), Buenos Aires, Argentina Winklmeier, Frank INSPIRE-00042764 ORCID:0000-0001-8290-3200 ROR:https://ror.org/0293rh119 GRID:grid.170202.6 Oregon U. Institute for Fundamental Science, University of Oregon, Eugene, OR, USA Winter, Benedict Tobias INSPIRE-00371046 ORCID:0000-0001-9606-7688 ROR:https://ror.org/0245cg223 GRID:grid.5963.9 Freiburg U. Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany Wittgen, Matthias INSPIRE-00041794 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Wobisch, Markus INSPIRE-00136413 ORCID:0000-0002-0688-3380 ROR:https://ror.org/04q9esz89 GRID:grid.259237.8 Louisiana Tech. U. Louisiana Tech University, Ruston, LA, USA Wojtkowski, Thomas GRID:grid.5676.2 ROR:https://ror.org/03f0apy98 GRID:grid.472561.3 LPSC, Grenoble LPSC, Université Grenoble Alpes, CNRS/IN2P3, Grenoble INP, Grenoble, France Wolffs, Zef ORCID:0000-0001-5100-2522 ROR:https://ror.org/00f9tz983 GRID:grid.420012.5 Nikhef Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, The Netherlands Wollrath, Julian INSPIRE-00643182 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Wolter, Marcin INSPIRE-00136528 ORCID:0000-0001-9184-2921 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Wolters, Helmut INSPIRE-00225832 ORCID:0000-0002-9588-1773 ROR:https://ror.org/01hys1667 GRID:grid.420929.4 ROR:https://ror.org/04z8k9a98 GRID:grid.8051.c LIP, Lisbon Coimbra U. Laboratório de Instrumentação e Física Experimental de Partículas-LIP, Lisbon, Portugal Departamento de Física, Universidade de Coimbra, Coimbra, Portugal Wong, Marcus Clark ROR:https://ror.org/03s65by71 GRID:grid.205975.c UC, Santa Cruz Santa Cruz Institute for Particle Physics, University of California Santa Cruz, Santa Cruz, CA, USA Woodward, Eleanor Luise ORCID:0000-0003-3089-022X ROR:https://ror.org/00hj8s172 GRID:grid.21729.3f Nevis Labs, Columbia U. Nevis Laboratory, Columbia University, Irvington, NY, USA Worm, Steven INSPIRE-00145331 ORCID:0000-0002-3865-4996 ROR:https://ror.org/01js2sh04 GRID:grid.7683.a DESY Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany Wosiek, Barbara Krystyna INSPIRE-00256470 ORCID:0000-0003-4273-6334 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Wozniak, Krzysztof Wieslaw INSPIRE-00256486 ORCID:0000-0003-1171-0887 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Wozniewski, Sebastian ORCID:0000-0001-8563-0412 ROR:https://ror.org/01y9bpm73 GRID:grid.7450.6 Gottingen U., II. Phys. Inst. II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany Wraight, Kenneth Gibb INSPIRE-00160280 ORCID:0000-0002-3298-4900 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Wu, Chufan ORCID:0009-0000-1342-3641 ROR:https://ror.org/03dbr7087 GRID:grid.17063.33 Toronto U. Department of Physics, University of Toronto, Toronto, ON, Canada Wu, Chonghao ORCID:0000-0003-3700-8818 ROR:https://ror.org/03angcq70 GRID:grid.6572.6 Birmingham U. School of Physics and Astronomy, University of Birmingham, Birmingham, UK Wu, Jian ORCID:0009-0005-2386-4893 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Wu, Minlin ORCID:0000-0001-5283-4080 GRID:grid.12981.33 ROR:https://ror.org/0064kty71 SYSU, Guangzhou School of Science, Shenzhen Campus of Sun Yat-sen University, Guangzhou, China Wu, Mengqing INSPIRE-00364318 ORCID:0000-0002-5252-2375 GRID:grid.420012.5 ROR:https://ror.org/016xsfp80 GRID:grid.5590.9 Nijmegen U. Institute for Mathematics, Astrophysics and Particle Physics, Radboud University/Nikhef, Nijmegen, The Netherlands Wu, Sau Lan INSPIRE-00136809 ORCID:0000-0001-5866-1504 GRID:grid.28803.31 ROR:https://ror.org/01y2jtd41 GRID:grid.14003.36 Wisconsin U., Madison Department of Physics, University of Wisconsin, Madison, WI, USA Wu, Shaoguang ORCID:0000-0002-3176-1748 GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Wu, Xingyu ORCID:0009-0002-0828-5349 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Wu, Yusheng INSPIRE-00237882 ORCID:0000-0002-1528-4865 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Wu, Zhibo ORCID:0000-0002-5392-902X GRID:grid.433124.3 ROR:https://ror.org/049nhh297 GRID:grid.450330.1 Annecy, LAPP LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France Wu, Zuofei ORCID:0009-0001-3314-6474 ROR:https://ror.org/01rxvg760 GRID:grid.41156.37 Nanjing U. Department of Physics, Nanjing University, Nanjing, China Wurzinger, Jonas ORCID:0000-0002-4055-218X ROR:https://ror.org/0079jjr10 GRID:grid.435824.c Munich, Max Planck Inst. Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Munich, Germany Wyatt, Terry INSPIRE-00136898 ORCID:0000-0001-9690-2997 ROR:https://ror.org/027m9bs27 GRID:grid.5379.8 Manchester U. School of Physics and Astronomy, University of Manchester, Manchester, UK Wynne, Benjamin Michael INSPIRE-00225867 ORCID:0000-0001-9895-4475 ROR:https://ror.org/01nrxwf90 GRID:grid.4305.2 Edinburgh U. SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK Xella, Stefania INSPIRE-00027688 ORCID:0000-0002-0988-1655 ROR:https://ror.org/035b05819 GRID:grid.5254.6 Bohr Inst. Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark Xia, Ligang INSPIRE-00446504 ORCID:0000-0003-3073-3662 ROR:https://ror.org/01rxvg760 GRID:grid.41156.37 Nanjing U. Department of Physics, Nanjing University, Nanjing, China Xia, Mingming ORCID:0009-0007-3125-1880 ROR:https://ror.org/03cve4549 GRID:grid.12527.33 Tsinghua U., Beijing Physics Department, Tsinghua University, Beijing, China Xie, Mingzhe ORCID:0000-0001-6707-5590 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Xiong, Anni ORCID:0009-0005-0548-6219 ROR:https://ror.org/0293rh119 GRID:grid.170202.6 Oregon U. Institute for Fundamental Science, University of Oregon, Eugene, OR, USA Xiong, Junwen ORCID:0000-0002-4853-7558 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Xu, Da INSPIRE-00225894 ORCID:0000-0001-6355-2767 GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Xu, Hao ORCID:0000-0001-6110-2172 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Xu, Lailin INSPIRE-00329742 ORCID:0000-0001-8997-3199 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Xu, Riley ORCID:0000-0002-1928-1717 ROR:https://ror.org/00b30xv10 GRID:grid.25879.31 Pennsylvania U. Department of Physics, University of Pennsylvania, Philadelphia, PA, USA Xu, Tairan INSPIRE-00465240 ORCID:0000-0002-0215-6151 ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Xu, Yue ORCID:0000-0001-9563-4804 GRID:grid.34477.33 ROR:https://ror.org/03d17d270 GRID:grid.504155.0 Washington U., Seattle Department of Physics, University of Washington, Seattle, WA, USA Xu, Zhongyukun INSPIRE-00655647 ORCID:0000-0001-9571-3131 ROR:https://ror.org/01nrxwf90 GRID:grid.4305.2 Edinburgh U. SUPA-School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK Xue, Rui ORCID:0009-0003-8407-3433 ROR:https://ror.org/01an3r305 GRID:grid.21925.3d Pittsburgh U. Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA, USA Yabsley, Bruce Donald INSPIRE-00137014 ORCID:0000-0002-2680-0474 ROR:https://ror.org/0384j8v12 GRID:grid.1013.3 Sydney U. School of Physics, University of Sydney, Sydney, Australia Yacoob, Sahal INSPIRE-00038563 ORCID:0000-0001-6977-3456 ROR:https://ror.org/03p74gp79 GRID:grid.7836.a Cape Town U. Department of Physics, University of Cape Town, Cape Town, South Africa Yamaguchi, Yohei INSPIRE-00336655 ORCID:0000-0002-3725-4800 ROR:https://ror.org/01g5y5k24 GRID:grid.410794.f KEK, Tsukuba KEK, High Energy Accelerator Research Organization, Tsukuba, Japan Yamashita, Erika ORCID:0000-0003-1721-2176 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Yamauchi, Hiroki ORCID:0000-0003-2123-5311 ROR:https://ror.org/02956yf07 GRID:grid.20515.33 Tsukuba U. Division of Physics and Tomonaga Center for the History of the Universe, Faculty of Pure and Applied Sciences, University of Tsukuba, Tsukuba, Japan Yamazaki, Tomohiro INSPIRE-00563560 ORCID:0000-0003-0411-3590 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Yamazaki, Yuji INSPIRE-00173319 ORCID:0000-0003-3710-6995 ROR:https://ror.org/03tgsfw79 GRID:grid.31432.37 Kobe U. Graduate School of Science, Kobe University, Kobe, Japan Yan, Siyuan ORCID:0000-0002-1512-5506 GRID:grid.8756.c ROR:https://ror.org/026efkc57 GRID:grid.440854.9 Glasgow U. SUPA-School of Physics and Astronomy, University of Glasgow, Glasgow, UK Yan, Zhen INSPIRE-00225940 ORCID:0000-0002-2483-4937 ROR:https://ror.org/0072zz521 GRID:grid.266683.f Massachusetts U., Amherst Department of Physics, University of Massachusetts, Amherst, MA, USA Yang, Haijun INSPIRE-00059882 ORCID:0000-0001-7367-1380 ROR:https://ror.org/0220qvk04 GRID:grid.16821.3c ROR:https://ror.org/01qp9b498 GRID:grid.482813.4 Shanghai Jiao Tong U. Tsung-Dao Lee Inst., Shanghai State Key Laboratory of Dark Matter Physics, School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MOE), SKLPPC, Shanghai, China State Key Laboratory of Dark Matter Physics, Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China Yang, Hongtao INSPIRE-00336678 ORCID:0000-0003-3554-7113 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Yang, Siqi INSPIRE-00187470 ORCID:0000-0002-0204-984X ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Yang, Tianyi ORCID:0000-0002-4996-1924 ROR:https://ror.org/00q4vv597 GRID:grid.24515.37 Hong Kong U. Sci. Tech. Department of Physics and Institute for Advanced Study, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China Yang, Xiao ORCID:0000-0002-1452-9824 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Yang, Xuan INSPIRE-00465375 ORCID:0000-0002-9201-0972 GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Yang, Yi-Lin INSPIRE-00576497 ORCID:0000-0001-8524-1855 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Yang, Yifan ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Yao, Wei-Ming INSPIRE-00137324 ORCID:0000-0002-3335-1988 ROR:https://ror.org/02jbv0t02 GRID:grid.184769.5 LBL, Berkeley Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA Yardley, Caley Luce ORCID:0009-0001-6625-7138 ROR:https://ror.org/00ayhx656 GRID:grid.12082.39 Sussex U. Department of Physics and Astronomy, University of Sussex, Brighton, UK Ye, Jingbo INSPIRE-00226177 ORCID:0000-0001-9274-707X GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Ye, Shuwei INSPIRE-00139045 ORCID:0000-0002-7864-4282 ROR:https://ror.org/02ex6cf31 GRID:grid.202665.5 Brookhaven Physics Department, Brookhaven National Laboratory, Upton, NY, USA Ye, Xinmeng ORCID:0000-0002-3245-7676 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Yeh, Yoran ORCID:0000-0002-8484-9655 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Yeletskikh, Ivan INSPIRE-00375274 ORCID:0000-0003-0586-7052 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Yeo, Beomki ORCID:0000-0002-3372-2590 GRID:grid.47840.3f ROR:https://ror.org/01an7q238 UC, Berkeley (main) University of California, Berkeley, CA, USA Yexley, Melissa ORCID:0000-0002-1827-9201 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Yildirim, Tom Philip ORCID:0000-0002-6689-0232 ROR:https://ror.org/052gg0110 GRID:grid.4991.5 Oxford U. Department of Physics, Oxford University, Oxford, UK Yorita, Kohei INSPIRE-00048979 ORCID:0000-0003-1988-8401 ROR:https://ror.org/00ntfnx83 GRID:grid.5290.e Waseda U. Waseda University, Tokyo, Japan Young, Christopher INSPIRE-00237930 ORCID:0000-0001-5858-6639 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Young, Charlie INSPIRE-00137680 ORCID:0000-0003-3268-3486 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Young, Nathan ROR:https://ror.org/0293rh119 GRID:grid.170202.6 Oregon U. Institute for Fundamental Science, University of Oregon, Eugene, OR, USA Yu, Yi ORCID:0000-0003-4762-8201 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Yuan, Jiarong ORCID:0000-0001-9834-7309 GRID:grid.9227.e GRID:grid.410726.6 ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. UCAS, Beijing Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China University of Chinese Academy of Science (UCAS), Beijing, China Yuan, Man ORCID:0000-0002-0991-5026 ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Yuan, Rui INSPIRE-00465386 ORCID:0000-0002-8452-0315 ROR:https://ror.org/01qp9b498 GRID:grid.482813.4 ROR:https://ror.org/0220qvk04 GRID:grid.16821.3c Tsung-Dao Lee Inst., Shanghai Shanghai Jiao Tong U. State Key Laboratory of Dark Matter Physics, School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MOE), SKLPPC, Shanghai, China State Key Laboratory of Dark Matter Physics, Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China Yue, Luzhan ORCID:0000-0001-6470-4662 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Zaazoua, Mohamed INSPIRE-00699611 ORCID:0000-0002-4105-2988 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Zabinski, Bartlomiej Henryk INSPIRE-00237959 ORCID:0000-0001-5626-0993 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Zahir, Imane ORCID:0000-0002-3366-532X ROR:https://ror.org/001q4kn48 GRID:grid.412148.a Casablanca U. Faculté des Sciences Ain Chock, Université Hassan II de Casablanca, Casablanca, Morocco Zaio, Alessandro GRID:grid.5606.5 ROR:https://ror.org/02v89pq06 GRID:grid.470205.4 INFN, Genoa Genoa U. Dipartimento di Fisica, Università di Genova, Genoa, Italy INFN Sezione di Genova, Genoa, Italy Zak, Zuzanna Katarzyna ORCID:0000-0002-9330-8842 ROR:https://ror.org/01n78t774 GRID:grid.418860.3 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland Zakareishvili, Tamar INSPIRE-00641188 ORCID:0000-0001-7909-4772 ROR:https://ror.org/017xch102 GRID:grid.470047.0 Valencia U., IFIC Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC, Valencia, Spain Zambito, Stefano INSPIRE-00337110 ORCID:0000-0002-4499-2545 ROR:https://ror.org/01swzsf04 GRID:grid.8591.5 Geneva U. Département de Physique Nucléaire et Corpusculaire, Université de Genève, Geneva, Switzerland Zamora-Saa, Jilberto ORCID:0000-0002-5030-7516 ROR:https://ror.org/01qq57711 GRID:grid.412848.3 Andres Bello Natl. U. Department of Physics, Universidad Andres Bello, Santiago, Chile Zang, Jiaqi ORCID:0000-0003-2770-1387 ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Zanzottera, Riccardo ORCID:0009-0006-5900-2539 ROR:https://ror.org/04w4m6z96 GRID:grid.470206.7 GRID:grid.4708.b INFN, Milan Milan U. INFN Sezione di Milano, Milan, Italy Dipartimento di Fisica, Università di Milano, Milan, Italy Zaplatilek, Ota ORCID:0000-0002-4687-3662 ROR:https://ror.org/03kqpb082 GRID:grid.6652.7 Prague, Tech. U. Czech Technical University in Prague, Prague, Czech Republic Zeitnitz, Christian INSPIRE-00138192 ORCID:0000-0003-2280-8636 ROR:https://ror.org/00613ak93 GRID:grid.7787.f Wuppertal U. Fakultät für Mathematik und Naturwissenschaften, Fachgruppe Physik, Bergische Universität Wuppertal, Wuppertal, Germany Zeng, Hao ORCID:0000-0002-2032-442X GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Zeng, Jiancong INSPIRE-00439941 ORCID:0000-0002-2029-2659 ROR:https://ror.org/047426m28 GRID:grid.35403.31 Illinois U., Urbana Department of Physics, University of Illinois, Urbana, IL, USA Zenger, Todd ORCID:0000-0002-4867-3138 ROR:https://ror.org/05abbep66 GRID:grid.253264.4 Brandeis U. Department of Physics, Brandeis University, Waltham, MA, USA Zenin, Oleg INSPIRE-00226303 ORCID:0000-0002-5447-1989 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an Institute Formerly Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Zenis, Tibor INSPIRE-00306374 ORCID:0000-0001-8265-6916 ROR:https://ror.org/0587ef340 GRID:grid.7634.6 Comenius U. Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia Zenz, Seth INSPIRE-00015971 ORCID:0000-0002-9720-1794 ROR:https://ror.org/026zzn846 GRID:grid.4868.2 Queen Mary, U. of London Department of Physics and Astronomy, Queen Mary University of London, London, UK Zerwas, Dirk INSPIRE-00140536 ORCID:0000-0002-4198-3029 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Zhai, Mingjie ORCID:0000-0003-0524-1914 GRID:grid.9227.e GRID:grid.410726.6 ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. UCAS, Beijing Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China University of Chinese Academy of Science (UCAS), Beijing, China Zhang, Dengfeng INSPIRE-00465365 ORCID:0000-0001-7335-4983 ROR:https://ror.org/05krs5044 GRID:grid.11835.3e Sheffield U. Department of Physics and Astronomy, University of Sheffield, Sheffield, UK Zhang, Gengyuan ORCID:0009-0004-3574-1842 GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Zhang, Jie ORCID:0000-0002-4380-1655 ROR:https://ror.org/0207yh398 GRID:grid.27255.37 Shandong U. Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao, China Zhang, Jinlong INSPIRE-00226349 ORCID:0000-0002-9907-838X ROR:https://ror.org/05gvnxz63 GRID:grid.187073.a Argonne High Energy Physics Division, Argonne National Laboratory, Argonne, IL, USA Zhang, Kaili INSPIRE-00651718 ORCID:0000-0002-9778-9209 GRID:grid.9227.e GRID:grid.410726.6 ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. UCAS, Beijing Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China University of Chinese Academy of Science (UCAS), Beijing, China Zhang, Luxin ORCID:0009-0000-4105-4564 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Zhang, Lei INSPIRE-00333000 ORCID:0000-0002-9336-9338 ROR:https://ror.org/01rxvg760 GRID:grid.41156.37 Nanjing U. Department of Physics, Nanjing University, Nanjing, China Zhang, Peng ORCID:0000-0002-9177-6108 GRID:grid.9227.e GRID:grid.410726.6 ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. UCAS, Beijing Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China University of Chinese Academy of Science (UCAS), Beijing, China Zhang, Rui INSPIRE-00440984 ORCID:0000-0002-8265-474X ROR:https://ror.org/01rxvg760 GRID:grid.41156.37 Nanjing U. Department of Physics, Nanjing University, Nanjing, China Zhang, Sijing ORCID:0000-0002-8480-2662 GRID:grid.15781.3a ROR:https://ror.org/03gc1p724 GRID:grid.508754.b L2IT, Toulouse L2IT, Université de Toulouse, CNRS/IN2P3, UPS, Toulouse, France Zhang, Tingyu ORCID:0000-0001-7729-085X ROR:https://ror.org/057zh3y96 GRID:grid.26999.3d Tokyo U., ICEPP International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan Zhang, Yulei ORCID:0000-0001-6274-7714 GRID:grid.34477.33 ROR:https://ror.org/03d17d270 GRID:grid.504155.0 Washington U., Seattle Department of Physics, University of Washington, Seattle, WA, USA Zhang, Yuwen Ebony ORCID:0000-0001-7287-9091 ROR:https://ror.org/02jx3x895 GRID:grid.83440.3b University Coll. London Department of Physics and Astronomy, University College London, London, UK Zhang, Yangfan ORCID:0000-0003-4104-3835 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Zhang, Yixiang ORCID:0000-0003-2029-0300 ROR:https://ror.org/01rxvg760 GRID:grid.41156.37 Nanjing U. Department of Physics, Nanjing University, Nanjing, China Zhang, Zhuolin ORCID:0000-0002-7936-8419 ROR:https://ror.org/0207yh398 GRID:grid.27255.37 Shandong U. Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao, China Zhang, Zhiqing Philippe INSPIRE-00138347 ORCID:0000-0002-7853-9079 GRID:grid.508754.b ROR:https://ror.org/03xjwb503 GRID:grid.460789.4 IJCLab, Orsay IJCLab, Université Paris-Saclay, CNRS/IN2P3, 91405 Orsay, France Zhao, Haoran ORCID:0000-0002-6638-847X GRID:grid.34477.33 ROR:https://ror.org/03d17d270 GRID:grid.504155.0 Washington U., Seattle Department of Physics, University of Washington, Seattle, WA, USA Zhao, Tongbin ORCID:0000-0002-6427-0806 ROR:https://ror.org/0207yh398 GRID:grid.27255.37 Shandong U. Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao, China Zhao, Yuzhan ORCID:0000-0003-0494-6728 ROR:https://ror.org/02qtvee93 GRID:grid.34428.39 Carleton U. Department of Physics, Carleton University, Ottawa, ON, Canada Zhao, Zhengguo INSPIRE-00226382 ORCID:0000-0001-6758-3974 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Zhao, Zihan ORCID:0000-0001-8178-8861 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Zhemchugov, Alexey INSPIRE-00226395 ORCID:0000-0002-3360-4965 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Zheng, Jinchao ORCID:0000-0002-9748-3074 ROR:https://ror.org/01rxvg760 GRID:grid.41156.37 Nanjing U. Department of Physics, Nanjing University, Nanjing, China Zheng, Kai ORCID:0009-0006-9951-2090 ROR:https://ror.org/047426m28 GRID:grid.35403.31 Illinois U., Urbana Department of Physics, University of Illinois, Urbana, IL, USA Zheng, Xiangxuan ORCID:0000-0002-2079-996X ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Zheng, Zhi INSPIRE-00643680 ORCID:0000-0002-8323-7753 ROR:https://ror.org/05gzmn429 GRID:grid.445003.6 SLAC SLAC National Accelerator Laboratory, Stanford, CA, USA Zhong, Dewen INSPIRE-00646024 ORCID:0000-0001-9377-650X ROR:https://ror.org/047426m28 GRID:grid.35403.31 Illinois U., Urbana Department of Physics, University of Illinois, Urbana, IL, USA Zhou, Bing INSPIRE-00138410 ORCID:0000-0002-0034-6576 ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Zhou, Hao ORCID:0000-0002-7986-9045 ROR:https://ror.org/03m2x1q45 GRID:grid.134563.6 Arizona U. Department of Physics, University of Arizona, Tucson, AZ, USA Zhou, Ning INSPIRE-00301363 ORCID:0000-0002-1775-2511 ROR:https://ror.org/0220qvk04 GRID:grid.16821.3c Shanghai Jiao Tong U. State Key Laboratory of Dark Matter Physics, School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MOE), SKLPPC, Shanghai, China Zhou, Yan ORCID:0009-0009-4564-4014 ROR:https://ror.org/03cve4549 GRID:grid.12527.33 Tsinghua U., Beijing Physics Department, Tsinghua University, Beijing, China Zhou, Yong ORCID:0009-0009-4876-1611 ROR:https://ror.org/01rxvg760 GRID:grid.41156.37 Nanjing U. Department of Physics, Nanjing University, Nanjing, China Zhou, You INSPIRE-00515588 ROR:https://ror.org/03m2x1q45 GRID:grid.134563.6 Arizona U. Department of Physics, University of Arizona, Tucson, AZ, USA Zhu, Chengguang INSPIRE-00226420 ORCID:0000-0001-8015-3901 ROR:https://ror.org/0207yh398 GRID:grid.27255.37 Shandong U. Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao, China Zhu, Junjie INSPIRE-00053364 ORCID:0000-0002-5278-2855 ROR:https://ror.org/00jmfr291 GRID:grid.214458.e Michigan U. Department of Physics, University of Michigan, Ann Arbor, MI, USA Zhu, Xuliang GRID:grid.16821.3c ROR:https://ror.org/01qp9b498 GRID:grid.482813.4 Tsung-Dao Lee Inst., Shanghai State Key Laboratory of Dark Matter Physics, Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China Zhu, Yifan ORCID:0000-0001-7964-0091 ROR:https://ror.org/0220qvk04 GRID:grid.16821.3c Shanghai Jiao Tong U. State Key Laboratory of Dark Matter Physics, School of Physics and Astronomy, Shanghai Jiao Tong University, Key Laboratory for Particle Astrophysics and Cosmology (MOE), SKLPPC, Shanghai, China Zhu, Yingchun INSPIRE-00218063 ORCID:0000-0002-7306-1053 ROR:https://ror.org/04c4dkn09 GRID:grid.59053.3a Hefei, CUST Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China Zhuang, Xuai INSPIRE-00226448 ORCID:0000-0003-0996-3279 GRID:grid.9227.e ROR:https://ror.org/03v8tnc06 GRID:grid.418741.f Beijing, Inst. High Energy Phys. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China Zhukov, Konstantin INSPIRE-00372098 ORCID:0000-0003-2468-9634 GRID:grid.411377.7 ROR:https://ror.org/01kg8sb98 GRID:grid.257410.5 Indiana U. Department of Physics, Indiana University, Bloomington, IN, USA Zimine, Nikolai INSPIRE-00342797 ORCID:0000-0003-0277-4870 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Affiliated with an International Laboratory Covered by a Cooperation Agreement with CERN, Geneva, Switzerland Zinsser, Joachim ORCID:0000-0002-5117-4671 ROR:https://ror.org/038t36y30 GRID:grid.7700.0 Heidelberg U. Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany Ziolkowski, Michal INSPIRE-00154081 ORCID:0000-0002-2891-8812 ROR:https://ror.org/02azyry73 GRID:grid.5836.8 Siegen U. Department Physik, Universität Siegen, Siegen, Germany Zivkovic, Lidija INSPIRE-00057284 ORCID:0000-0003-4236-8930 GRID:grid.7149.b ROR:https://ror.org/04h3h5b09 GRID:grid.435330.2 Belgrade U. Institute of Physics, University of Belgrade, Belgrade, Serbia Zoccoli, Antonio INSPIRE-00138667 ORCID:0000-0002-0993-6185 ROR:https://ror.org/01111rn36 GRID:grid.6292.f GRID:grid.470193.8 INFN, Bologna Bologna U. Dipartimento di Fisica e Astronomia A. Righi, Università di Bologna, Bologna, Italy INFN Sezione di Bologna, Bologna, Italy Zoch, Knut INSPIRE-00583073 ORCID:0000-0003-2138-6187 ROR:https://ror.org/03vek6s52 GRID:grid.38142.3c Harvard U., Phys. Dept. Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA, USA Zografos, Angelos ORCID:0000-0001-8110-0801 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland Zorbas, Theodore INSPIRE-00576502 ORCID:0000-0003-2073-4901 ROR:https://ror.org/05krs5044 GRID:grid.11835.3e Sheffield U. Department of Physics and Astronomy, University of Sheffield, Sheffield, UK Zormpa, Olga ORCID:0000-0003-3177-903X ROR:https://ror.org/038jp4m40 GRID:grid.6083.d Democritos Nucl. Res. Ctr. National Centre for Scientific Research “Demokritos”’, Agia Paraskevi, Greece Zwalinski, Lukasz INSPIRE-00233300 ORCID:0000-0002-9397-2313 ROR:https://ror.org/01ggx4157 GRID:grid.9132.9 CERN CERN, Geneva, Switzerland ATLAS Collaboration PH-EP 1397 publication Eur. Phys. J. C 85 Eur. Phys. J. C 85 (2025) 1397 2025 2731142 1513101 http://cds.cern.ch/record/2931959/files/ANA-SOFT-2024-01-PAPER.pdf Fulltext http://cds.cern.ch/record/2931083 Previous draft version 2731428 162211 http://cds.cern.ch/record/2931959/files/fig_03.png 00002 The power consumption of a typical processor during the running of the HEPScore benchmarking suite. Each point represents a power measurement. Seven different sets of three runs of individual workloads chosen to be representative and described in Ref.~\cite{HEPScore} are distinguished with dashed vertical lines. 2731429 306076 http://cds.cern.ch/record/2931959/files/fig_02.png 00001 An example email of a job report from PanDA including carbon footprint information. The carbon footprint information is boxed at the bottom of the example email, and includes a link to a website providing more information about the calculations~\cite{PanDACarbon}. 2731430 106397 http://cds.cern.ch/record/2931959/files/fig_01.png 00000 The worldwide distribution of ATLAS computing, based on the amount of CPU provided, in HS23 (see Section~\ref{sec:HS23} for the precise definition of HS23), on average in 2023--2024. Countries in gray did not contribute significant CPU. 2731431 39062 http://cds.cern.ch/record/2931959/files/fig_07b.png 00008 : Power for background tasks as a percentage of (a) data center power and (b) data center storage power, for three HEP site scenarios. : Caption not extracted 2731432 360907 http://cds.cern.ch/record/2931959/files/fig_04a.png 00003 : 2731433 344845 http://cds.cern.ch/record/2931959/files/fig_04b.png 00004 : The evolution of HS23 score with CPU load for (a) AMD and (b) Intel CPUs. The gray points show data from the WLCG sites, while the colored series connected with lines indicate specific choices of frequency governor on benchmark machines. The data are from Ref.~\cite{HEPScoreSustainability}. : Caption not extracted 2731434 37791 http://cds.cern.ch/record/2931959/files/fig_08a.png 00009 : 2731435 7759821 http://cds.cern.ch/record/2931959/files/2505.08530.pdf Fulltext 2731436 37803 http://cds.cern.ch/record/2931959/files/fig_08b.png 00010 : The percentage reduction in carbon emissions of background tasks using several approaches to scheduling, for the CERN data center, for (a) the power grid models of 2023 and (b) the power grid models of 2035. The various power grid models and scheduling strategies are defined in the text. : Caption not extracted 2731437 36492 http://cds.cern.ch/record/2931959/files/fig_10b.png 00013 : (a) The computing time in HS23s at a given site lost to failing production (non-user) jobs in the last year. The observed loss is shown along with an expected loss based on the weighted world-average failure rates. (b) The same loss as a fraction of the HS23s provided by the site. In both cases, sites are ordered in the number of HS23 they contribute to ATLAS, from (left) most to (right) least. : Caption not extracted 2731438 45900 http://cds.cern.ch/record/2931959/files/fig_05.png 00005 An extrapolation of renewable power sources in Germany and power demand to 2030, based on Refs.~\cite{German-Power,Fraunhofer}. The load (demand), on-shore and off-shore wind, and solar power production are scaled based on data from an example week at the end of May, 2023 and projections for consumption and renewable energy construction projects. Other sources include hydroelectric, biomass, geothermal, and waste-to-energy production. 2731439 38237 http://cds.cern.ch/record/2931959/files/fig_10a.png 00012 : 2731440 34766 http://cds.cern.ch/record/2931959/files/fig_07a.png 00007 : 2731441 44240 http://cds.cern.ch/record/2931959/files/fig_09.png 00011 Ratio of the modified HS23 score to the nominal for a selection of data center nodes, for several fan heat exchanger operating speeds relative to the nominal. 2731442 134241 http://cds.cern.ch/record/2931959/files/fig_06.png 00006 The HS23 score (a proxy for throughput) per Watt as a function of the processor frequency for seven CPU models. The 85th percentile power consumption during the benchmark running is shown. 2732238 295435 http://cds.cern.ch/record/2931959/files/w6_fig_06.png 00006 The HS23 score (a proxy for throughput) per Watt as a function of the processor frequency for seven CPU models. The 85th percentile power consumption during the benchmark running is shown. 2732239 88212 http://cds.cern.ch/record/2931959/files/w10_fig_08b.png 00010 : The percentage reduction in carbon emissions of background tasks using several approaches to scheduling, for the CERN data center, for (a) the power grid models of 2023 and (b) the power grid models of 2035. The various power grid models and scheduling strategies are defined in the text. : Caption not extracted 2732240 306076 http://cds.cern.ch/record/2931959/files/w1_fig_02.png 00001 An example email of a job report from PanDA including carbon footprint information. The carbon footprint information is boxed at the bottom of the example email, and includes a link to a website providing more information about the calculations~\cite{PanDACarbon}. 2732241 73443 http://cds.cern.ch/record/2931959/files/w7_fig_07a.png 00007 : 2732242 88321 http://cds.cern.ch/record/2931959/files/w9_fig_08a.png 00009 : 2732243 1002228 http://cds.cern.ch/record/2931959/files/w3_fig_04a.png 00003 : 2732244 175032 http://cds.cern.ch/record/2931959/files/w0_fig_01.png 00000 The worldwide distribution of ATLAS computing, based on the amount of CPU provided, in HS23 (see Section~\ref{sec:HS23} for the precise definition of HS23), on average in 2023--2024. Countries in gray did not contribute significant CPU. 2732245 983523 http://cds.cern.ch/record/2931959/files/w4_fig_04b.png 00004 : The evolution of HS23 score with CPU load for (a) AMD and (b) Intel CPUs. The gray points show data from the WLCG sites, while the colored series connected with lines indicate specific choices of frequency governor on benchmark machines. The data are from Ref.~\cite{HEPScoreSustainability}. : Caption not extracted 2732246 352713 http://cds.cern.ch/record/2931959/files/w2_fig_03.png 00002 The power consumption of a typical processor during the running of the HEPScore benchmarking suite. Each point represents a power measurement. Seven different sets of three runs of individual workloads chosen to be representative and described in Ref.~\cite{HEPScore} are distinguished with dashed vertical lines. 2732247 93602 http://cds.cern.ch/record/2931959/files/w11_fig_09.png 00011 Ratio of the modified HS23 score to the nominal for a selection of data center nodes, for several fan heat exchanger operating speeds relative to the nominal. 2732248 82403 http://cds.cern.ch/record/2931959/files/w8_fig_07b.png 00008 : Power for background tasks as a percentage of (a) data center power and (b) data center storage power, for three HEP site scenarios. : Caption not extracted 2732249 91211 http://cds.cern.ch/record/2931959/files/w12_fig_10a.png 00012 : 2732250 81916 http://cds.cern.ch/record/2931959/files/w13_fig_10b.png 00013 : (a) The computing time in HS23s at a given site lost to failing production (non-user) jobs in the last year. The observed loss is shown along with an expected loss based on the weighted world-average failure rates. (b) The same loss as a fraction of the HS23s provided by the site. In both cases, sites are ordered in the number of HS23 they contribute to ATLAS, from (left) most to (right) least. : Caption not extracted 2732251 99243 http://cds.cern.ch/record/2931959/files/w5_fig_05.png 00005 An extrapolation of renewable power sources in Germany and power demand to 2030, based on Refs.~\cite{German-Power,Fraunhofer}. The load (demand), on-shore and off-shore wind, and solar power production are scaled based on data from an example week at the end of May, 2023 and projections for consumption and renewable energy construction projects. Other sources include hydroelectric, biomass, geothermal, and waste-to-energy production. 2802782 8680680 http://cds.cern.ch/record/2931959/files/document.pdf Fulltext 27 May 2025 13 ATLAS_Papers ARTICLE tatjana.lenz@cern.ch n 202519 2931835 20260313143948.0 oai:cds.cern.ch:2931835 cerncds:TALK eng Indico 5419 CERN. Geneva IT Lightning Talks: session #26 CERN - 31/3-004 - IT Amphitheatre 2025-05-09T10:51:00 2025-05-09T10:59:00 1524067c1 Permacomputing - An approach to computing for hundreds of years 2025 2025-05-09 512 Streaming video IT Lightning Talks (ITLT) IT Lightning Talks: session #26 2025-05-09T10:51:00 <!--HTML-->Modern computing suffers from a severe short sightedness. Most developments are driven by quarterly results, our habits become ever more computationally expensive. In an age of environmental crisis, is there a different way to think of how we compute? This talk gives an introduction to Permacomputing - a young philosophy and toolbox for computing over the span of hundreds of years. CERN 2025 IT Lightning Talks (ITLT) Event TALK CERN Bachmann, Richard speaker CERN https://indico.cern.ch/event/1524067/contributions/6479293/ Talk details https://indico.cern.ch/event/1524067/ Event details MediaArchive /mnt/master_share/master_data/2025/1524067c1 Absolute master path MediaArchive https://lecturemedia.cern.ch/2025/1524067c1/1524067c1-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 257594 MediaArchive https://lecturemedia.cern.ch/2025/1524067c1/1524067c1-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 103147 MediaArchive https://lecturemedia.cern.ch/2025/1524067c1/1524067c1-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 458390 MediaArchive https://lecturemedia.cern.ch/2025/1524067c1/1524067c1-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 49642 elizaveta.ragozina@cern.ch Lopienski, Sebastian CERN Ferreira, Pedro CERN Gonzalez Labrador, Hugo CERN Ragozina, Elizaveta Massachusetts Inst. of Technology (US) 2025-03-07T08:58:14 2025-05-12T10:33:56 PUBLIC INDICO.1524067c1 https://videos.cern.ch/legacy/record/2931835 Indico TALK MIGRATED 2931545 20260214045318.0 DOI American Association for the Advancement of Science 10.1126/sciadv.ads1176 oai:cds.cern.ch:2931545 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2406.16044 oai:inspirehep.net:2801769 https://inspirehep.net/api/oai2d Inspire 2026-02-13T02:05:46Z 2026-02-14T03:00:08Z marcxml true Inspire 2801769 arXiv arXiv:2406.16044 physics.ins-det eng Berghold, Michael Forschungsreaktor Munich Research Neutron Source Heinz Maier-Leibnitz (FRM II), Technical University of Munich, Lichtenbergstr. 1 Garching bei München, 85748 Bayern Germany. American Association for the Advancement of Science Real-time antiproton annihilation vertexing with submicrometer resolution 2025-04-04 2024-06-23 10 p American Association for the Advancement of Science Primary goal of the AEḡIS experiment is to precisely measure the free fall of antihydrogen within Earth’s gravitational field. To this end, cold (≈50 K) antihydrogen will traverse a two-grid moiré deflectometer before annihilating onto a position-sensitive detector, which shall determine the vertical position of the annihilation vertex relative to the grids with micrometric accuracy. Here, we introduce a vertexing detector based on a modified mobile camera sensor and experimentally demonstrate that it can measure the position of antiproton annihilations within 0.62−0.22+0.40 μm, a 35-fold improvement over the previous state of the art for real-time antiproton vertexing. These methods are directly applicable to antihydrogen. Moreover, the sensitivity to light of the sensor enables in situ calibration of the moiré deflectometer, substantially reducing systematic errors. This sensor emerges as a breakthrough technology toward the AEḡIS scientific goals and will constitute the basis for the development of a large-area detector for conducting antihydrogen gravity measurements. arXiv The primary goal of the AEgIS experiment is to precisely measure the free fall of antihydrogen within Earth's gravitational field. To this end, a cold ~50K antihydrogen beam has to pass through two grids forming a moiré deflectometer before annihilating onto a position-sensitive detector, which shall determine the vertical position of the annihilation vertex relative to the grids with micrometric accuracy. Here we introduce a vertexing detector based on a modified mobile camera sensor and experimentally demonstrate that it can measure the position of antiproton annihilations with an accuracy of $0.62^{+0.40}_{-0.22}\mu m$, which represents a 35-fold improvement over the previous state-of-the-art for real-time antiproton vertexing. Importantly, these antiproton detection methods are directly applicable to antihydrogen. Moreover, the sensitivity to light of the sensor enables the in-situ calibration of the moiré deflectometer, significantly reducing systematic errors. This sensor emerges as a breakthrough technology for achieving the \aegis scientific goals and has been selected as the basis for the development of a large-area detector for conducting antihydrogen gravity measurements. publication CC-BY-4.0 American Association for the Advancement of Science CERN-APC DAI/10879320 https://creativecommons.org/licenses/by/4.0/ preprint CC BY-SA 4.0 http://creativecommons.org/licenses/by-sa/4.0/ publication The Author(s) 2025 TIMESTAMP_OF_UPLOAD-2025-04-13-17-07 Physical and Materials Sciences DOKIFILE:sciadv2025-04-13 https://www.science.org/doi/10.1126/sciadv.ads1176 DOKIFILE:sciadv11.14 arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques CERN ARTICLE CERN AEgIS Orsucci, Davide ORCID:0000-0003-3087-8757 DLR, Neustrelitz Institute of Communications and Navigation, German Aerospace Centre (DLR), Münchener Str. 20, 82234 Weß ling, Germany. Guatieri, Francesco ORCID:0000-0002-7153-585X Forschungsreaktor Munich Trento U. TIFPA-INFN, Trento Research Neutron Source Heinz Maier-Leibnitz (FRM II), Technical University of Munich, Lichtenbergstr. 1 Garching bei München, 85748 Bayern Germany. Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy. TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy. Alfaro, Sara Siegen U. Department of Physics, University of Siegen, Walter-Flex-Straße 3, 57072 Siegen, Germany. Auzins, Marcis Latvia U. Department of Physics, University of Latvia, Raina boulevard 19, LV-1586 Riga, Latvia. Bergmann, Benedikt ORCID:0000-0002-8076-5614 IEAP CTU, Prague Pilsen U. Institute of Experimental and Applied Physics, Czech Technical University in Prague, Husova 240/5, 110 00, Prague 1, Czech Republic. Faculty of Electrical Engineering, University of West Bohemia, Pilsen, Univezitni 8, 301 00 Pilsen, Czech Republic. Burian, Petr IEAP CTU, Prague Institute of Experimental and Applied Physics, Czech Technical University in Prague, Husova 240/5, 110 00, Prague 1, Czech Republic. Brusa, Roberto Sennen ORCID:0000-0002-5239-7172 Trento U. TIFPA-INFN, Trento Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy. TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy. Camper, Antoine ORCID:0000-0002-8664-3693 Oslo U. Department of Physics, University of Oslo, Sem Sælandsvei 24, 0371 Oslo, Norway. Caravita, Ruggero ORCID:0000-0002-8189-8814 Trento U. TIFPA-INFN, Trento Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy. TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy. Castelli, Fabrizio ORCID:0000-0002-1485-6737 INFN, Milan Milan U. INFN Milano, via Celoria 16, 20133 Milano, Italy. Department of Physics “Aldo Pontremoli,” University of Milano, via Celoria 16, 20133 Milano, Italy. Cerchiari, Giovanni ORCID:0000-0003-3068-0425 Innsbruck U. Institut für Experimentalphysik, University of Innsbruck, Technikerstrasse 25, 6020 Innsbruck, Austria. Ciuryło, Roman Jerzy ORCID:0000-0003-2638-0403 Torun, Copernicus Astron. Ctr. Institute of Physics, Faculty of Physics, Astronomy, and Informatics, Nicolaus Copernicus University in Toruń, Grudziadzka 5, 87-100 Toruń, Poland. Chehaimi, Ahmad ORCID:0009-0001-7050-5827 Trento U. TIFPA-INFN, Trento Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy. TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy. Consolati, Giovanni ORCID:0000-0003-3614-245X INFN, Milan Milan Polytechnic INFN Milano, via Celoria 16, 20133 Milano, Italy. Department of Aerospace Science and Technology, Politecnico di Milano, via La Masa 34, 20156 Milano, Italy. Doser, Michael ORCID:0000-0002-3618-0889 CERN Physics Department, CERN, 1211 Geneva 23, Switzerland. Eliaszuk, Kamil ORCID:0009-0004-9491-4109 Warsaw U. of Tech. Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland. Ferguson, Riley Craig Trento U. TIFPA-INFN, Trento Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy. TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy. Germann, Matthias ORCID:0000-0002-5352-6765 CERN Physics Department, CERN, 1211 Geneva 23, Switzerland. Giszczak, Anna Warsaw U. of Tech. Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland. Glöggler, L.T. ORCID:0000-0003-0194-8680 CERN Physics Department, CERN, 1211 Geneva 23, Switzerland. Graczykowski, Łukasz ORCID:0000-0002-4442-5727 Warsaw U. of Tech. Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland. Grosbart, Malgorzata ORCID:0009-0006-2580-8825 CERN Physics Department, CERN, 1211 Geneva 23, Switzerland. Gusakova, Natali CERN Norwegian U. Sci. Tech. Physics Department, CERN, 1211 Geneva 23, Switzerland. Department of Physics, NTNU, Norwegian University of Science and Technology, Trondheim, Norway. Gustafsson, Fredrik CERN Physics Department, CERN, 1211 Geneva 23, Switzerland. Haider, Stefan CERN Physics Department, CERN, 1211 Geneva 23, Switzerland. Huck, Saiva ORCID:0009-0000-6260-6516 CERN Hamburg U. Physics Department, CERN, 1211 Geneva 23, Switzerland. Institute for Experimental Physics, Universität Hamburg, 22607 Hamburg, Germany. Hugenschmidt, Christoph ORCID:0000-0002-0056-8953 Forschungsreaktor Munich Research Neutron Source Heinz Maier-Leibnitz (FRM II), Technical University of Munich, Lichtenbergstr. 1 Garching bei München, 85748 Bayern Germany. Janik, Malgorzata Anna ORCID:0000-0001-9087-4665 Warsaw U. of Tech. Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland. Januszek, Tymoteusz Henryk Warsaw U. of Tech. Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland. Kasprowicz, Grzegorz ORCID:0000-0001-6128-0788 Warsaw U. of Tech. Faculty of Electronics and Information Technology, Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 Warsaw, Poland. Kempny, Kamila ORCID:0009-0008-1038-6302 Warsaw U. of Tech. Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland. Khatri, Ghanshyambhai ORCID:0000-0001-8901-3817 CERN Systems Department, CERN, 1211 Geneva 23, Switzerland. Kłosowski, Łukasz ORCID:0000-0002-5463-5381 Torun, Copernicus Astron. Ctr. Institute of Physics, Faculty of Physics, Astronomy, and Informatics, Nicolaus Copernicus University in Toruń, Grudziadzka 5, 87-100 Toruń, Poland. Kornakov, Georgy Warsaw U. of Tech. Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland. Krumins, Valts ORCID:0000-0002-2689-7421 Latvia U. CERN Department of Physics, University of Latvia, Raina boulevard 19, LV-1586 Riga, Latvia. Physics Department, CERN, 1211 Geneva 23, Switzerland. Lappo, Lidia ORCID:0009-0001-1533-7445 Warsaw U. of Tech. Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland. Linek, Adam ORCID:0000-0002-0730-6200 Torun, Copernicus Astron. Ctr. Institute of Physics, Faculty of Physics, Astronomy, and Informatics, Nicolaus Copernicus University in Toruń, Grudziadzka 5, 87-100 Toruń, Poland. Mariazzi, Sebastiano ORCID:0000-0001-9985-8792 Trento U. TIFPA-INFN, Trento Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy. TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy. Moskal, Pawel Jagiellonian U. (main) Marian Smoluchowski Institute of Physics, Jagiellonian University, Kraków, Poland. Centre for Theranostics, Jagiellonian University, Kraków, Poland. Nowicka, Dorota Warsaw U. of Tech. Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland. Pandey, Piyush ORCID:0009-0009-9823-2435 Jagiellonian U. (main) Warsaw, Inst. Math. Marian Smoluchowski Institute of Physics, Jagiellonian University, Kraków, Poland. Centre for Theranostics, Jagiellonian University, Kraków, Poland. PĘcak, Daniel ORCID:0000-0002-2462-2942 Warsaw U. of Tech. Warsaw, Inst. Phys. Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland. Institute of Physics, Polish Academy of Sciences, Aleja Lotnikow 32/46, PL-02668 Warsaw, Poland. Penasa, Luca ORCID:0000-0003-3117-5826 Trento U. TIFPA-INFN, Trento Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy. TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy. Petracek, Vojtech Prague, Tech. U. Czech Technical University, Prague, Brehová 7, 11519 Prague 1, Czech Republic. Piwiński, Mariusz ORCID:0000-0001-5847-2578 Torun, Copernicus Astron. Ctr. Institute of Physics, Faculty of Physics, Astronomy, and Informatics, Nicolaus Copernicus University in Toruń, Grudziadzka 5, 87-100 Toruń, Poland. Pospisil, Stanislav IEAP CTU, Prague Institute of Experimental and Applied Physics, Czech Technical University in Prague, Husova 240/5, 110 00, Prague 1, Czech Republic. Povolo, Luca ORCID:0000-0003-1451-1947 Trento U. TIFPA-INFN, Trento Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy. TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy. Prelz, Francesco INFN, Milan INFN Milano, via Celoria 16, 20133 Milano, Italy. Rangwala, Sadiqali Raman Research Inst., Bangalore Raman Research Institute, C. V. Raman Avenue, Sadashivanagar, Bangalore 560080, India. Rauschendorfer, Tassilo ORCID:0009-0001-0568-3950 Milan Polytechnic CERN Leipzig U. Department of Aerospace Science and Technology, Politecnico di Milano, via La Masa 34, 20156 Milano, Italy. Physics Department, CERN, 1211 Geneva 23, Switzerland. Felix Bloch Institute for Solid State Physics, Universität Leipzig, 04103 Leipzig, Germany. Rawat, Bharat ORCID:0000-0002-6866-3148 Liverpool U. Cockcroft Inst. Accel. Sci. Tech. Department of Physics, University of Liverpool, Liverpool L69 3BX, UK. The Cockcroft Institute, Daresbury, Warrington WA4 4AD, UK. Rienäcker, Benjamin ORCID:0000-0002-3836-7030 Liverpool U. Department of Physics, University of Liverpool, Liverpool L69 3BX, UK. Rodin, Volodymyr ORCID:0000-0002-3602-881X Liverpool U. Department of Physics, University of Liverpool, Liverpool L69 3BX, UK. Røhne, O.M. ORCID:0000-0001-7744-9584 Oslo U. Department of Physics, University of Oslo, Sem Sælandsvei 24, 0371 Oslo, Norway. Sandaker, Heidi Oslo U. Department of Physics, University of Oslo, Sem Sælandsvei 24, 0371 Oslo, Norway. Sharma, Sushil ORCID:0000-0001-8947-0110 Jagiellonian U. (main) Marian Smoluchowski Institute of Physics, Jagiellonian University, Kraków, Poland. Centre for Theranostics, Jagiellonian University, Kraków, Poland. Smolyanskiy, Petr ORCID:0000-0002-1122-1218 IEAP CTU, Prague Institute of Experimental and Applied Physics, Czech Technical University in Prague, Husova 240/5, 110 00, Prague 1, Czech Republic. Sowiński, Tomasz ORCID:0000-0002-7970-4371 Warsaw, Inst. Phys. Institute of Physics, Polish Academy of Sciences, Aleja Lotnikow 32/46, PL-02668 Warsaw, Poland. Tefelski, Dariusz ORCID:0000-0003-0802-2290 Warsaw U. of Tech. Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland. Vafeiadis, Theodoros ORCID:0000-0003-1492-5007 CERN Physics Department, CERN, 1211 Geneva 23, Switzerland. Volponi, Marco ORCID:0000-0002-5048-8708 Trento U. TIFPA-INFN, Trento Milan Polytechnic CERN Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy. TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy. Department of Aerospace Science and Technology, Politecnico di Milano, via La Masa 34, 20156 Milano, Italy. Physics Department, CERN, 1211 Geneva 23, Switzerland. Welsch, Carsten Peter Liverpool U. Cockcroft Inst. Accel. Sci. Tech. Department of Physics, University of Liverpool, Liverpool L69 3BX, UK. The Cockcroft Institute, Daresbury, Warrington WA4 4AD, UK. Zawada, Michal ORCID:0000-0002-2826-5129 Torun, Copernicus Astron. Ctr. Institute of Physics, Faculty of Physics, Astronomy, and Informatics, Nicolaus Copernicus University in Toruń, Grudziadzka 5, 87-100 Toruń, Poland. Zielinski, Jakub ORCID:0000-0003-2729-5737 Warsaw U. of Tech. Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland. Zurlo, Nicola ORCID:0000-0002-7478-2493 INFN, Pavia Brescia U. INFN Pavia, via Bassi 6, 27100 Pavia, Italy. Department of Civil, Environmental, Architectural Engineering and Mathematics, University of Brescia, via Branze 43, 25123 Brescia, Italy. AEḡIS Collaboration ads1176 14 Sci. Adv. 11 2025 2730329 39631 http://cds.cern.ch/record/2931545/files/TrackThickness.png 00001 In blue the distribution in thickness of the \textit{tracks} in recorded antiprotons events. We attribute the higher-thickness peak of the distribution to tracks left in the sensor by protons and the lower peak to tracks left by pions. In red the distribution in thickness of tracks left by \SI{4}{\mega eV} protons within the detector, matching the topmost part of the distribution in thickness of proton tracks. We attribute the difference between the distributions mainly to the difference in energy spectrum of the protons. 2730330 87788 http://cds.cern.ch/record/2931545/files/GridDrift.png 00004 Left: Relative drift of the endpoints of the 50 grid teeth as determined by the fitting algorithm described in appendix \ref{app:GridFitting} over the course of one hour. One of the edges has been highlighted in red to better show the typical progression of the algorithm output over time. The fluctuations in the so reconstructed coordinates are below \SI{0.12}{\micro\meter} RMS for all the grid vertices - with median being \SI{0.031}{\micro\meter} RMS. Right: relative position of one grid vertex tracked over the course of the 8 day measurement campaign. The linear fit used to compensate for the grid movement in the data analysis is shown in orange. 2730331 3753937 http://cds.cern.ch/record/2931545/files/2406.16044.pdf Fulltext 2730332 4035368 http://cds.cern.ch/record/2931545/files/Grid_mid_res.png 00002 a) Optical image of the silicon nitride grid acquired using a point light source before installing the setup in vacuum. b) A similar image obtained by exploiting the light emitted by a vacuum gauge in the apparatus. Arrows indicate the two grid teeth that were bent by the adhesive deforming under vacuum. c) The reconstructed position of antiproton annihilations recorded with the grid installed onto the sensor. Towards the left side two distinct areas nearly devoid of annihilations events can be seen. These are the regions where the thermoplastic adhesive keeping the grid in place was applied. d) A histogram of the distance of the annihilations events from the nearest edge. Overlayed in orange is the best fitting error function found via maximum likelihood. 2730333 432961 http://cds.cern.ch/record/2931545/files/GridFittingStability.png 00003 Left: Relative drift of the endpoints of the 50 grid teeth as determined by the fitting algorithm described in appendix \ref{app:GridFitting} over the course of one hour. One of the edges has been highlighted in red to better show the typical progression of the algorithm output over time. The fluctuations in the so reconstructed coordinates are below \SI{0.12}{\micro\meter} RMS for all the grid vertices - with median being \SI{0.031}{\micro\meter} RMS. Right: relative position of one grid vertex tracked over the course of the 8 day measurement campaign. The linear fit used to compensate for the grid movement in the data analysis is shown in orange. 2730334 2338970 http://cds.cern.ch/record/2931545/files/document.pdf Fulltext 2730335 135051 http://cds.cern.ch/record/2931545/files/StarShape.png 00000 Curated selection of antiproton annihilation events as imaged by the CMOS sensor. The observed shapes are similar to those recorded by the Timepix3 detector~\cite{pacifico2016direct, holmestad2018data}, albeit at a scale approximately fifty times smaller. Pixels marked in magenta have been deemed non-functional by taking background images. 13 ARTICLE 2936831 SzGeCERN 20251217181146.0 DOI Elsevier B.V. 10.1016/j.nima.2025.170744 publication oai:cds.cern.ch:2936831 cerncds:CERN https://inspirehep.net/api/oai2d 2025-06-27T08:12:57Z marcxml oai:inspirehep.net:2938278 2025-06-27T08:06:37Z Inspire 2938278 eng Juks, Stefania A stefania-alexandra.juks@cern.ch U. Paris-Saclay Elsevier B.V. Evaluating the performance and long-term stability with LHC-like background irradiation of RPC detectors with CO2-based gas mixtures 2025 6 p Elsevier B.V. Resistive Plate Chamber (RPC) detectors at CERN’s LHC experiments traditionally use a Freon-based gas mixture containing C2H2F4 (R-134a) and SF6, both of which are high global warming potential (GWP) gases. To reduce greenhouse gas (GHG) emissions, operational costs, and optimise RPC performance, one possible mid-term solution is the gas mixture with a substitution of 30% of R-134a with CO2 in the standard RPC gas mixture. This gas mixture was successfully adopted in the ATLAS RPC system since August 2023. This study investigates the detector’s performance when CO2 is introduced into the standard gas mixture to minimise emissions while maintaining compatibility with current CERN RPC systems. Conducted at the CERN Gamma Irradiation Facility (GIF++), this research uses a 12 TBq 137Cs source and a muon beam to simulate the LHC experiment’s background radiation. The setup includes 2 mm single-gap High-Pressure Laminate (HPL) RPCs placed at different distances from the gamma source. Since March 2023, the detectors inside the bunker have been continuously irradiated to assess long-term performance, targeting the integrated charge expected for ATLAS RPC detectors in LHC Run 3 and the High-Luminosity LHC phase. Monitoring is performed using various metrics such as gas analysis, oxygen content, humidity, dose, environmental parameters, and flow measurements to ensure the gas system operates correctly. Several periodic test beam periods are conducted to assess muon performance parameters, including: efficiency, current, streamer probability, mean prompt charge, cluster size, time resolution. Results from the ageing studies, using the proposed 30% CO2 gas mixture, are presented. Elsevier B.V. publication 2025 For annual report SzGeCERN Detectors and Experimental Techniques Elsevier B.V. Resistive plate chambers Elsevier B.V. Gaseous particle detectors Elsevier B.V. CO Elsevier B.V. -based gas mixtures Elsevier B.V. Greenhouse gases Elsevier B.V. Beam test Elsevier B.V. Ageing campaign ARTICLE CERN CERN LHC Guida, Roberto CERN Mandelli, Beatrice CERN Rigoletti, Gianluca CERN Verzeroli, Mattia Lyon U. 170744 publication C24-09-09.14 2025 Nucl. Instrum. Methods Phys. Res., A 1080 13 2920470 SantiagodeCompostela20240909 170744 ARTICLE ConferencePaper 2936729 SzGeCERN 20251217181117.0 DOI IOP 10.1088/1748-0221/20/05/C05020 oai:cds.cern.ch:2936729 cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2922215 2025-06-25T08:42:34Z 2025-06-26T04:00:08Z marcxml Inspire 2922215 eng Adzic, P ORCID:0000-0002-5862-7397 Belgrade U. IOP Environmental stress screening of the CMS ECAL barrel VFE and LVR cards 2025 6 p IOP In preparation for the operation at HL-LHC the electronics of the electromagnetic calorimeter barrel must be replaced. The new 12240 very front end (VFE) cards will amplify and digitize signals of 62100 lead-tungstate crystals instrumented with avalanche photodiodes, while 2448 low voltage regulator (LVR) cards provide power for the VFE and digital interface cards. Reliable operation of these cards with failure rates as low as 0.5% at the end-of-life, after ∼20 years, is targeted, requiring environmental stress screening (ESS). Implementation of the hardware and software components of the custom developed ESS system is presented, highlighting its modularity, configurability, flexibility, and scalability. publication IOP Publishing Ltd and Sissa Medialab 2025 For annual report SzGeCERN Particle Physics - Experiment SzGeCERN Detectors and Experimental Techniques author Front-end electronics for detector readout author Radiation-hard electronics ARTICLE CERN CERN LHC CMS Bernier, C Northeastern U. Brunet, D ORCID:0009-0000-8054-2536 Belgrade U. Cokic, L Belgrade U. CERN CERN, Espalande des Particules 1, Meyrin, 1211, Switzerland Dissertori, G ORCID:0000-0002-4549-2569 Zurich, ETH Gadek, T ORCID:0000-0003-1547-9678 Zurich, ETH Lustermann, W ORCID:0000-0003-4970-2217 Zurich, ETH Mijic, M ORCID:0009-0003-7870-6126 Belgrade U. Milenovic, P ORCID:0000-0001-7132-3550 Belgrade U. Rasevic, N ORCID:0000-0002-4492-9132 Belgrade U. CMS Collaboration C05020 05 JINST 20 2025 C24-09-30.3 13 2909447 C05020 glasgow20240930 ARTICLE ConferencePaper 2936463 20260210233258.0 oai:cds.cern.ch:2936463 cerncds:CONF cerncds:TALK INSPIRE-CNUM C25-07-06.2 INSPIRE 3086201 eng 20250706 26th International Workshop on Radiation Imaging Detectors (iWoRiD 2025) Bratislava, Slovakia 6 - 10 Jul 2025 2025 bratislava20250706 SK 20250710 2025 Bratislava SzGeCERN Detectors and Experimental Techniques SzGeCERN Workshop CERN Imaging in medicine and biology CERN Imaging in materials research CERN Astronomical and space applications CERN Environmental applications CERN Security applications CERN Physics applications CERN Material Analysis CERN X-ray diffraction and fluorescence CERN Protein crystallography CERN Tomography, high resolution and fast imaging CERN Electron microscopy CERN Applications at X-ray free electron lasers CERN Neutron imaging CERN High energy physics CERN Nuclear physics CERN Fusion research CONFERENCE PROCEEDINGS IWORID 2025 iWoRiD25 JINST 2026 CERN EDS https://indico.cern.ch/event/1428808/overview Conference home page https://iopscience.iop.org/collections/jinst-250822-01 e-proceedings tibor.zenis@cern.ch x n 202526 43 PUBLIC 000787019CER PROCEEDINGS 2936462 SzGeCERN 20250624234500.0 DOI IEEE 10.1109/TIM.2025.3568949 oai:cds.cern.ch:2936462 cerncds:CERN https://inspirehep.net/api/oai2d 2025-06-24T04:00:05Z marcxml oai:inspirehep.net:2933522 2025-06-23T11:58:21Z Inspire 2933522 eng Fienga, Francesco ORCID:0000-0001-5978-4952 Naples U. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland IEEE A Novel Digital Read-Out System for Radiochromic Film Based on Synchronous Demodulation 2025 9 p IEEE This article presents a novel apparatus designed to overcome the limitations of traditional radiochromic film (RCF) read-out systems. Existing systems are often expensive and unsuitable for portable applications. The proposed system uses a narrowband LED to illuminate the radiochromic film under test, while a photodiode collects the scattered photons. The photogenerated current is converted into voltage and processed by a computational unit, which correlates the output signal with the absorbed dose level. To reduce noise and improve the signal-to-noise ratio (SNR), a synchronous demodulation technique is implemented digitally. The LED current is modulated by pulsewidth modulation (PWM) and, using a sampling frequency four times the PWM frequency, the signal is demodulated in real-time with a numerically efficient algorithm. A microcontroller unit (MCU), running dedicated firmware, manages the entire circuitry and ensures suitability for Internet of Thing (IoT) applications, as the system can transmit data to a remote server. The study details the system’s design and characterization. Measurements conducted on EBT3 radiochromic films demonstrate its reproducibility, repeatability, and stability. The system is competitive as a dosimeter for nuclear medicine or environmental measurements, where low dose levels are common. The experimental study presented in this article highlights this capability, demonstrating the apparatus as a cost-effective alternative to existing solutions on the market. IEEE publication 2025 SzGeCERN Detectors and Experimental Techniques author Optical films author Dosimetry author Pulse width modulation author Demodulation author Real-time systems author Photodiodes author Radiation effects author Optical variables measurement author Optical fibers author Optical fiber sensors author Radiochromic Film author Synchronous Demodulation author Circuitry author Sampling Frequency author Photodiode author Internet Of Things author Pulse Width author Dose Levels author Microcontroller Unit author Linear Regression author Standard Curve author Irradiation author Identical Conditions author Ionizing Radiation author Current Source author Electrical Signals author Photodetector author Optical Power author Real-time Measurements author Proton Beam author Rational Function author Optically Stimulated Luminescence author Transimpedance Amplifier author Dose Calculation author Clock Frequency author Statistical Metrics author radiochromic films (RCF) author synchronous demodulation ARTICLE CERN Marrazzo, Vincenzo Romano ORCID:0000-0003-3949-2746 Naples U. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Irace, Andrea ORCID:0000-0003-1400-8380 Naples U. Buontempo, Salvatore ORCID:0000-0001-9526-556X INFN, Naples CERN CERN, Geneva, Switzerland Breglio, Giovanni ORCID:0000-0002-9350-5483 Naples U. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Riccio, Michele ORCID:0000-0002-5926-4911 Naples U. 2010709 2025 IEEE Trans. Instrum. Meas. 74 13 ARTICLE 2935909 SzGeCERN 20251218151926.0 DOI IOP 10.1088/1742-6596/3029/1/012005 oai:cds.cern.ch:2935909 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2934638 2025-06-17T12:51:38Z 2025-06-18T04:01:00Z marcxml Inspire 2934638 eng Ferguson, R C rileycraig.ferguson@unitn.it Trento U. INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy IOP Positron-Positronium Converters in Reflection and Transmission Geometry for Gravitational Experiments with Antihydrogen using Moiré Deflectometry 2025 5 p IOP In the context of the Antihydrogen Experiment: Gravity, Interferometry, Spectroscopy (AEgIS) located at CERN, positron-positronium converters with a high positron-positronium conversion efficiency have been designed in both reflection and transmission geometries. The converters utilize nanochanneled silicon target technology with positron conversion efficiencies up to around 50% and around 16%, at room temperature and in the absence of magnetic fields, for reflection and transmission respectively. The positron-positronium converters allow for the pulsed production of antihydrogen ($\overline{\mathrm{H}}$) within the AEgIS experiment. This paper discusses the use of a pulsed $\overline{\mathrm{H}}$ beam in a moiré deflectometer to perform a precise gravitational measurement on $\overline{\mathrm{H}}$ at AEgIS. This work describes the principles and technical details of the current design of a moiré deflectometer using the pulsed $\overline{\mathrm{H}}$ beam. The main goal of this work is to summarize the ongoing project of adding the described moiré deflectometer to the AEgIS experiment to further their efforts toward probing the material dependence of gravity and testing the weak equivalence principle (WEP). publication CC-BY-4.0 IOP https://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2025 For annual report SzGeCERN Detectors and Experimental Techniques SzGeCERN Particle Physics - Experiment ARTICLE CERN Alfaro Campos, S Siegen U. Innsbruck U. Institut für Experimentalphysik, Universität Innsbruck, Technikerstrasse 25/4, 6020 Innsbruck, Austria Auzins, M Latvia U. Berghold, M Munich, Tech. U. Bergmann, B Prague, Tech. U. Burian, P Prague, Tech. U. Brusa, R S Trento U. INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Camper, A Oslo U. Caravita, R Trento U. INFN, Trento Castelli, F INFN, Milan Milan U. Department of Physics “Aldo Pontremoli”, University of Milano, via Celoria 16, 20133 Milano, Italy Cerchiari, G Siegen U. Innsbruck U. Institut für Experimentalphysik, Universität Innsbruck, Technikerstrasse 25/4, 6020 Innsbruck, Austria Ciuryło, R Torun, Copernicus Astron. Ctr. Chehaimi, A Trento U. INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Consolati, G INFN, Milan Milan Polytechnic Department of Aerospace Science and Technology, Politecnico di Milano, via La Masa 34, 20156 Milano, Italy Doser, M CERN Eliaszuk, K Warsaw U. of Tech. Germann, M CERN Giszczak, A Warsaw U. of Tech. Glöggler, L T CERN Graczykowski, Ł Warsaw U. of Tech. Grosbart, M CERN Guatieri, F Munich, Tech. U. Trento U. INFN, Trento Department of Physics, University of Trento, via Sommarive 14, 38123 Povo, Trento, Italy Gusakova, N CERN Norwegian U. Sci. Tech. Department of Physics, NTNU, Norwegian University of Science and Technology, Trondheim, Norway Gustafsson, F CERN Haider, S CERN Huck, S CERN Hamburg U. Institute for Experimental Physics, Universität Hamburg, 22607, Hamburg, Germany Hugenschmidt, C Munich, Tech. U. Janik, M A Warsaw U. of Tech. Januszek, T Warsaw U. of Tech. Kasprowicz, G Warsaw U. of Tech. Kempny, K Warsaw U. of Tech. Khatri, G CERN Kłosowski, Ł Torun, Copernicus Astron. Ctr. Kornakov, G Warsaw U. of Tech. Krumins, V CERN Latvia U. University of Latvia, Department of Physics Raina boulevard 19, LV-1586, Riga, Latvia Lappo, L Warsaw U. of Tech. Linek, A Torun, Copernicus Astron. Ctr. Mariazzi, S Trento U. INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Moskal, P Jagiellonian U. Warsaw, Inst. Math. Centre for Theranostics, Jagiellonian University, Kraków, Poland Münster, M Munich, Tech. U. Pandey, P Jagiellonian U. Warsaw, Inst. Math. Centre for Theranostics, Jagiellonian University, Kraków, Poland Pecak, D Warsaw, Inst. Phys. Penasa, L Trento U. INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Petracek, V Prague, Tech. U. Piwiński, M Torun, Copernicus Astron. Ctr. Pospisil, S Prague, Tech. U. Povolo, L Trento U. INFN, Trento TIFPA/INFN Trento, via Sommarive 14, 38123 Povo, Trento, Italy Prelz, F INFN, Milan Rangwala, S A Raman Research Inst., Bangalore Rauschendorfer, T CERN Leipzig U. Felix Bloch Institute for Solid State Physics, Universität Leipzig, 04103 Leipzig, Germany Rawat, B S Liverpool U. Daresbury The Cockcroft Institute, Daresbury, Warrington WA4 4AD, UK Rienäcker, B Liverpool U. Rodin, V Liverpool U. Røhne, O M Oslo U. Sandaker, H Oslo U. Sharma, S Jagiellonian U. Warsaw, Inst. Math. Centre for Theranostics, Jagiellonian University, Kraków, Poland Smolyanskiy, P Prague, Tech. U. Sowiński, T Warsaw, Inst. Phys. Tefelski, D Warsaw U. of Tech. Vafeiadis, T CERN Volponi, M CERN Welsch, C P Liverpool U. Daresbury The Cockcroft Institute, Daresbury, Warrington WA4 4AD, UK Zawada, M Torun, Copernicus Astron. Ctr. Zielinski, J Warsaw U. of Tech. Zurlo, N INFN, Pavia Brescia U. Department of Civil, Environmental, Architectural Engineering and Mathematics, University of Brescia, via Branze 43, 25123 Brescia, Italy 012005 1 J. Phys. : Conf. Ser. 3029 C24-10-27.4 2025 2740248 688081 http://cds.cern.ch/record/2935909/files/document.pdf Fulltext 13 2935840 012005 Kanazawa20241027 ARTICLE ConferencePaper 2934026 SzGeCERN 20250605210208.0 DOI 10.1680/jgeot.23.00074 oai:cds.cern.ch:2934026 cerncds:CERN https://inspirehep.net/api/oai2d 2025-06-05T07:10:53Z marcxml oai:inspirehep.net:2925216 2025-06-04T08:21:37Z Inspire 2925216 eng Wang, Chao University Coll., Cork University Coll., Dublin submitter The impact of thermal–hydraulic variation on tunnel long-term performance: a tale of two tunnels 2024 17 p submitter Long-term structural performance of ageing tunnels is influenced by various natural and anthropogenic factors. This study examines the impacts of two rarely investigated climatic factors: rainfall and temperature. Two dedicated case studies were conducted on the European Organisation for Nuclear Research (CERN) TT10 tunnel and Dublin port tunnel (DPT) using distributed fibre optic strain sensing (DFOS) and wireless sensor network (WSN) monitoring, respectively. DFOS data showed an increasing deformation in TT10 tunnel, attributed to tunnel deteriorations and ground deformation, with seasonal variation of lining strains linked to rainfall-related seasonal change in pore water pressure. However, inconsistencies in the rainfall–strain correlation were also noted due to geological complexities and varying pore water pressure sources. In contrast, WSN measurements showed that DPT deformation correlated with temperature, instead of precipitation. DPT deformation increased in warmer seasons and decreased in colder ones, in the absence of external disturbances, comprising reversible thermal deformation and irreversible deterioration-induced deformation. Over time, cyclic and periodic temperature changes caused elastic deformation to reverse, while plastic deformation accumulated, leading to ongoing tunnel deformation. These findings bring more insights into the resilience of critical underground infrastructure vulnerable to climate change, groundwater variations and other environmental factors. INSPIRE Other distributed fibre optic sensing field testing & monitoring long-term tunnel performance rainfall effect seasonal change temperature effects tunnels & tunnelling wireless sensor network ARTICLE CERN Xiao, Zhipeng University Coll., Cork CERN Di Murro, Vanessa CERN Osborne, John CERN Friedman, Miles CERN Li, Zili University Coll., Cork University Coll., Dublin 1-17 2024 Géotechnique 13 ARTICLE 2934025 SzGeCERN 20250605210208.0 DOI 10.1016/j.flatc.2024.100701 oai:cds.cern.ch:2934025 cerncds:CERN https://inspirehep.net/api/oai2d 2025-06-05T07:10:53Z marcxml oai:inspirehep.net:2925527 2025-06-04T08:17:39Z Inspire 2925527 eng Maddalena, Francesco Nanyang Polytechnic CINTRA UMI CNRS/NTU/THALES 3288, Research Techno Plaza, 50 Nanyang Drive, Border X Block, Level 6, 637553 Singapore, Singapore submitter Optimizing doping thresholds for enhanced scintillation in 2D hybrid organic–inorganic perovskites 2024 submitter Two-dimensional hybrid organic–inorganic perovskite (2D-HOIP) crystals, in particular lead-bromide perovskites, exhibit great promise as scintillators due to their superior environmental stability compared to their 3D counterparts, offering high light yields and rapid decay times. These cost-effective, solution-processable materials demonstrate potential for efficient wide-energy radiation detection. In this paper we focus on investigating the effect of partial substitution of n-butylammonium (BA) cation with tert-butylammonium (t-Bu) cation within the butylammonium lead bromide ( ) structure and its impact on luminescence and scintillation properties. We observe that inclusion up to 5 % of t-Bu (x = 0.1) within the structure leads to a narrowing of the bandgap, leading also to an improvement of the light yield by 10 % and lowering of the energy resolution, compared to pristine . The bandgap widens, compared to pristine , with higher concentrations above 5 %, resulting in effects for the scintillating properties of the 2D-HOIP at room temperature at t-Bu concentrations above 5 %, with reduced light yield and broadened energy resolution. Higher t-Bu concentration (x = 0.4) show very poor room temperature scintillation but increased efficiency at cryogenic temperatures below 50 K. The results shown in this paper demonstrate the fundamental limitation of organic cation mixing levels for scintillation efficiency enhancement. Elsevier B.V. 2024 INSPIRE Other ARTICLE CERN Makowski, Michal Xiao, Chengyuan Nanyang Polytechnic CINTRA UMI CNRS/NTU/THALES 3288, Research Techno Plaza, 50 Nanyang Drive, Border X Block, Level 6, 637553 Singapore, Singapore Sheikh, Md Abdul Kuddus Kowal, Dominik Witkowski, Marcin E Torun, Copernicus Astron. Ctr. Drozdowski, Konrad J Torun, Copernicus Astron. Ctr. Mahato, Somnath Dujardin, Christophe Lyon U. IUF, Paris Institut Universitaire de France (IUF), 1 rue Descartes, Paris Cedex 05 75231, France Calà, Roberto CERN Milan Bicocca U. Universita degli Studi di Milano-Bicocca, Milan, Italy Auffray, Etiennette CERN Mahyuddin, Muhammad Haris Bandung Inst. Tech. Drozdowski, Winicjusz Torun, Copernicus Astron. Ctr. Birowosuto, Muhammad Danang Dang, Cuong Nanyang Polytechnic CINTRA UMI CNRS/NTU/THALES 3288, Research Techno Plaza, 50 Nanyang Drive, Border X Block, Level 6, 637553 Singapore, Singapore 100701 2024 FlatChem 47 13 ARTICLE 2933869 SzGeCERN 20250604204327.0 DOI 10.1002/pc.29123 oai:cds.cern.ch:2933869 cerncds:CERN https://inspirehep.net/api/oai2d 2025-06-04T04:25:53Z marcxml oai:inspirehep.net:2925207 2025-06-03T09:30:39Z Inspire 2925207 eng dos Santos, Júlio C Sao Joao del-Rei Fed. U. Department of Mechanical Engineering, Centre for Innovation and Technology in Composite Materials – CITeC, Federal University of São João del Rei-UFSJ, São João del Rei, Brazil submitter Impact performance of egg‐box core sandwich panels made from sisal fibers and castor‐oil‐based polymer 2024 9 p submitter AbstractDeveloping sustainable composites for engineering applications is essential for minimizing environmental impacts and ensuring the long‐term viability of infrastructure and technological advancements. In this context, this work focuses on the manufacture and evaluation of the structural integrity of a sandwich structure composed of aluminum faces and egg‐box‐shaped, sisal fiber‐reinforced epoxy (SFE) or castor‐oil polyurethane (SFC‐O) composites. The sandwich panel is filled with a biobased foam and subjected to dynamic load (drop‐tower) test. For comparison, the base materials SFE and SFC‐O molded into the egg‐box‐shaped cores are also evaluated using Charpy impact tests to establish a potential correlation between their Charpy performance and the drop‐tower behavior of egg‐box sandwich structures. The findings reveal that SFC‐O laminates demonstrate superior Charpy impact resistance (~49%) compared to SFE laminates. Similarly, sandwich structures composed of egg‐box‐castor‐oil composite cores absorb approximately 42.5% more energy than those made with egg‐box‐epoxy cores. The impact behavior of the sandwich structures correlates directly with the impact resistance of the sisal fiber laminates. Overall, the results indicate that the castor‐oil polymer can effectively replace the epoxy polymer matrix phase, enhancing impact absorption and providing an environmentally correct and sustainable solution for fabricating sandwich panels.Highlights Castor‐oil polymer provides laminates with lower density relative to epoxy. Sisal‐castor‐oil‐based laminates possess higher impact resistance than those based on epoxy. Sisal‐castor‐oil‐based panels achieve higher absolute and specific drop‐tower impact properties. Panels subjected to drop‐tower impact tests reveal skin delamination, wrinkling and indentation. Debonding between the foam and egg‐box core is a typical failure mode for epoxy sandwich panels. Society of Plastics Engineers 2024 INSPIRE Other ARTICLE CERN da Silva, Rodrigo J CERN Sao Joao del-Rei Fed. U. Bristol U. Bristol Composites Institute, School of Civil, Aerospace and Design Engineering (CADE), University of Bristol, Bristol, UK Christoforo, André L Sao Joao del-Rei Fed. U. Freire, Rodrigo T S Sao Joao del-Rei Fed. U. Department of Natural Sciences, Federal University of São João del Rei-UFSJ, São João del-Rei, Brazil Tarpani, José Ricardo Scarpa, Fabrizio Bristol U. Panzera, Túlio H Sao Joao del-Rei Fed. U. 4958-4966 6 2024 Polymer Composites 46 13 ARTICLE 2933701 SzGeCERN 20260417091125.0 DOI 10.1039/d4ea00117f oai:cds.cern.ch:2933701 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2025-06-03T04:30:50Z marcxml oai:inspirehep.net:2925251 2025-06-02T13:39:35Z Inspire 2925251 eng Donahue, Neil M Carnegie Mellon U. submitter Low temperature growth of sub 10 nm particles by ammonium nitrate condensation 2025 15 p submitter Co-condensation of nitric acid and ammonia vapors to form ammonium nitrate transforms from a fully semi-volatile behavior when it is relatively warm (273 K and above, typical of the seasonal planetary boundary layer) into effectively non-volatile and irreversible uptake for the limiting vapor when it is cold (well below 273 K, typical of the upper troposphere and occasionally the wintertime boundary layer). This causes the system to switch in character from the one governed by semi-volatile equilibrium (how it is usually portrayed) to the one governed by irreversible reactive uptake to even the smallest particles. Uptake involves an activation diameter, which can be as small as 1 nm for typical vapor concentrations, and subsequent growth rates can be very high, exceeding 1000 nm h−1 . In addition to this somewhat surprising behavior, the system provides an exemplary case for semi-volatile reactive uptake within the context of volatility and saturation ratios. publication CC BY 3.0 https://creativecommons.org/licenses/by/3.0/ Other The Author(s) publication Published by the Royal Society of Chemistry 2025 INSPIRE Condensed Matter ARTICLE CERN Xiao, Mao PSI, Villigen Marten, Ruby PSI, Villigen Wang, Mingyi Carnegie Mellon U. PSI, Villigen Ch-5232 Villigen PSI, Switzerland Kong, Weimeng Caltech Schervish, Meredith Carnegie Mellon U. UC, Irvine 4129 Frederick Reines Hall, Irvine, CA 92697-4575, United States Ye, Qing Carnegie Mellon U. Hofbauer, Victoria Carnegie Mellon U. Dada, Lubna PSI, Villigen Duplissy, Jonathan Helsinki U. Finkenzeller, Henning Helsinki U. Gordon, Hamish Carnegie Mellon U. Kirkby, Jasper CERN Lamkaddam, Houssni PSI, Villigen Makhmutov, Vladimir Unlisted Philippov, Maxim Unlisted Rörup, Birte Helsinki U. Volkamer, Rainer Colorado U. Wang, Dongyu PSI, Villigen Weber, Stefan K CERN Flagan, Richard C Caltech Stolzenburg, Dominik TU Vienna El Hadad, Imad PSI, Villigen 67-81 1 2025 Environmental Science: Atmospheres 5 2736011 2318488 http://cds.cern.ch/record/2933701/files/d4ea00117f.pdf Published version 13 ARTICLE 2939326 20260313144014.0 oai:cds.cern.ch:2939326 cerncds:TALK eng Indico 19808 CERN. Geneva Foundation models CERN - 31/3-004 - IT Amphitheatre 2025-07-29T13:30:00 2025-07-29T15:30:00 1535847 Foundation models 2025 2025-07-29 6930 Streaming video CERN openlab summer student lecture programme 2025-07-29T13:30:00 <!--HTML--><h2>Description</h2> <div>Foundation models, also known as large-scale self-supervised models, have revolutionized the field of artificial intelligence. These models, such as ChatGPT and AlphaFold, are pre-trained on massive amounts of data and can be fine-tuned for a wide range of downstream tasks. In this lecture, we’ll explore the key concepts behind foundation models and their impact on machine learning systems. In particular we will give a brief overview of the points below:</div> <div> </div> <ol> <li>What are foundation models? Challenges and opportunities.</li> <li>Strategies for training foundation models : self-supervision and pre-training. </li> <li>How to reach adaptability and fine tuning.</li> <li>Some examples </li> </ol> <h2>Bio</h2> <p>Ilaria Luise is a Machine Learning scientist at the European Centre for Medium-Range Weather Forecast working for the wider generator project and a former Senior Research Fellow at CERN, the European Center for Nuclear Research in Geneva. She works as a physicist within the Innovation Division at the CERN IT-Department. Her background is in experimental physics and big data management. She is Co-PI of the AtmoRep project, which is part of the CERN Innovation Programme on Environmental Applications (CIPEA). The project aims at building a foundation model for atmospheric dynamics in collaboration with ECMWF and the Jülich Supercomputing Center.</p> <p>Sofia is a CERN physicist with extensive experience in software development in the high-energy physics domain, particularly in deep learning and quantum computing applications within CERN openlab. She has a PhD in physics obtained at the University of Geneva. Prior to joining CERN openlab, Sofia was responsible for the development of deep-learning-based technologies for the simulation of particle transport through detectors at CERN. She also worked to optimise the GeantV detector simulation prototype on modern hardware architectures. </p> <p>Please note that pictures and videos might be taken during the event. The pictures and videos might be used for communication about the event. By joining the lecture, you are agreeing to being featured in these communication actions. </p> CERN 2025 CERN openlab summer student lecture programme Event TALK CERN Luise, Ilaria speaker CERN Vallecorsa, Sofia speaker CERN https://indico.cern.ch/event/1535847/ Event details MediaArchive https://lecturemedia.cern.ch/2025/1535847/1535847-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive /mnt/master_share/master_data/2025/1535847 Absolute master path MediaArchive https://lecturemedia.cern.ch/2025/1535847/1535847-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 191230 MediaArchive https://lecturemedia.cern.ch/2025/1535847/1535847-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 890598 MediaArchive https://lecturemedia.cern.ch/2025/1535847/1535847-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 505516 MediaArchive https://lecturemedia.cern.ch/2025/1535847/1535847-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 83092 MediaArchive https://lecturemedia.cern.ch/2025/1535847/1535847-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 78462 MediaArchive https://lecturemedia.cern.ch/2025/1535847/1535847-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 2310276 MediaArchive https://lecturemedia.cern.ch/2025/1535847/1535847-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 259033 MediaArchive https://lecturemedia.cern.ch/2025/1535847/1535847-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 864021 killian.verder@cern.ch Luise, Ilaria CERN Vallecorsa, Sofia CERN 2025-04-07T07:57:18 2025-07-31T15:33:01 PUBLIC INDICO.1535847 https://videos.cern.ch/legacy/record/2939326 Indico TALK MIGRATED 2938850 20251204042339.0 oai:cds.cern.ch:2938850 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI arXiv 10.1016/j.nexus.2025.100604 publication arXiv oai:arXiv.org:2503.03692 oai:inspirehep.net:2897226 https://inspirehep.net/api/oai2d Inspire 2025-12-03T04:06:48Z 2025-12-04T03:00:04Z marcxml true Inspire 2897226 arXiv arXiv:2503.03692 physics.ins-det eng Angiulli, Francesco Alessandro ROR:https://ror.org/00s6t1f81 ROR:https://ror.org/01st30669 Pavia U. INFN, Pavia Dipartimento di Fisica, Università di Pavia, Via Bassi 6, Pavia, 27100, , Italy Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Via Bassi 6, Pavia, 27100, , Italy arXiv Capturing methane in a barn environment: the CH4 Livestock Emission (CH4rLiE) project 2025-03-05 21 p arXiv The CH4 Livestock Emission (CH4rLiE) project explores the development of a prototype system for capturing methane emissions in barn environments, offering an alternative approach to mitigating greenhouse gas emissions from livestock farming. Methane (CH4), with a global warming potential significantly higher than CO2 (GWP100 = 27), accounts for ~23% of anthropogenic climate impact. In 2021, The Assessment Report 6 of Intergovernmental Panel on Climate Change quantified CH4 livestock emissions in 123 Mt/yr, which, together with substantial N2O and CO2 emissions, contributed with a 12% to global emissions. Unlike strategies focused on altering animal feed, CH4rLiE investigates post-emission capture using porous materials, such as zeolites, to adsorb methane from barn air. The project draws on CERN's experience with gas recovery systems for particle detectors, adapting similar technologies to agricultural settings. Preliminary estimates, based on measured CH4 concentrations (~20 mg/m3) and partial air filtration in a 250-animal barn, suggest a low but detectable recovery potential, subject to validation through simulation and in-situ testing. Prototype development considers the potential for energy-efficient operation - possibly through pressure swing regeneration - and compatibility with existing ventilation infrastructure, though these aspects remain under evaluation. If methane concentrations in barns prove too diluted, the system may be better suited for environments with higher gas levels, such as pigsties or landfills. NH3 capture for fertilizer production is planned as a future enhancement. CH4rLiE aims to assess the feasibility of emission recovery in livestock settings without affecting animal welfare, contributing to sustainable farming practices, resource efficiency, and circular bioeconomy goals. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ CDS physics.ao-ph arXiv Other Fields of Physics SzGeCERN physics.ins-det arXiv Detectors and Experimental Techniques SzGeCERN CERN PREPRINT Aimè, Chiara ROR:https://ror.org/01st30669 ROR:https://ror.org/03ad39j10 INFN, Pavia Pisa U. Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Via Bassi 6, Pavia, 27100, , Italy Now at Dipartimento di Fisica, Università di Pisa and INFN Sezione di Pisa, Largo Bruno Pontecorvo 3, 56127 Pisa, Italy Arena, Maria Cristina ROR:https://ror.org/00s6t1f81 ROR:https://ror.org/01ggx4157 Pavia U. CERN Dipartimento di Chimica, Università di Pavia, Via Torquato Taramelli 12, Pavia, 27100, , Italy CERN, Esplanade des Particules 1, Geneva, 1211, , Switzerland Biagini, Davide ROR:https://ror.org/048tbm396 ROR:https://ror.org/01vj6ck58 Turin U. INFN, Turin Dipartimento di Scienze Agrarie, Forestali e Alimentari, Università di Torino, Largo Paolo Braccini 2, Grugliasco (TO), 10095, , Italy Istituto Nazionale di Fisica Nucleare, Sezione di Torino, Via Pietro Giuria 1, Torino, 10125, , Italy Braghieri, Alessandro ROR:https://ror.org/01st30669 INFN, Pavia Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Via Bassi 6, Pavia, 27100, , Italy Brunoldi, Matteo ROR:https://ror.org/00s6t1f81 ROR:https://ror.org/01st30669 Pavia U. INFN, Pavia Dipartimento di Fisica, Università di Pavia, Via Bassi 6, Pavia, 27100, , Italy Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Via Bassi 6, Pavia, 27100, , Italy Calzaferri, Simone ROR:https://ror.org/00s6t1f81 ROR:https://ror.org/01st30669 Pavia U. INFN, Pavia Dipartimento di Fisica, Università di Pavia, Via Bassi 6, Pavia, 27100, , Italy Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Via Bassi 6, Pavia, 27100, , Italy Dinuccio, Elio ROR:https://ror.org/048tbm396 ROR:https://ror.org/01vj6ck58 Turin U. INFN, Turin Dipartimento di Scienze Agrarie, Forestali e Alimentari, Università di Torino, Largo Paolo Braccini 2, Grugliasco (TO), 10095, , Italy Istituto Nazionale di Fisica Nucleare, Sezione di Torino, Via Pietro Giuria 1, Torino, 10125, , Italy Dondi, Daniele ROR:https://ror.org/01st30669 ROR:https://ror.org/00s6t1f81 INFN, Pavia Pavia U. Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Via Bassi 6, Pavia, 27100, , Italy Dipartimento di Chimica, Università di Pavia, Via Torquato Taramelli 12, Pavia, 27100, , Italy Finco, Linda ROR:https://ror.org/01vj6ck58 INFN, Turin Istituto Nazionale di Fisica Nucleare, Sezione di Torino, Via Pietro Giuria 1, Torino, 10125, , Italy Guida, Roberto ROR:https://ror.org/01ggx4157 CERN CERN, Esplanade des Particules 1, Geneva, 1211, , Switzerland Kameswaran, Nithish Kumar ROR:https://ror.org/00s6t1f81 Pavia U. Dipartimento di Fisica, Università di Pavia, Via Bassi 6, Pavia, 27100, , Italy Mandelli, Beatrice ROR:https://ror.org/01ggx4157 CERN CERN, Esplanade des Particules 1, Geneva, 1211, , Switzerland Montagna, Paolo ROR:https://ror.org/00s6t1f81 ROR:https://ror.org/01st30669 Pavia U. INFN, Pavia Dipartimento di Fisica, Università di Pavia, Via Bassi 6, Pavia, 27100, , Italy Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Via Bassi 6, Pavia, 27100, , Italy Riccardi, Cristina ROR:https://ror.org/00s6t1f81 ROR:https://ror.org/01st30669 Pavia U. INFN, Pavia Dipartimento di Fisica, Università di Pavia, Via Bassi 6, Pavia, 27100, , Italy Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Via Bassi 6, Pavia, 27100, , Italy Salvini, Paola ROR:https://ror.org/01st30669 INFN, Pavia Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Via Bassi 6, Pavia, 27100, , Italy Tamigio, Alessandro ROR:https://ror.org/01st30669 INFN, Pavia Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Via Bassi 6, Pavia, 27100, , Italy Vai, Ilaria ilaria.vai@unipv.it ROR:https://ror.org/00s6t1f81 ROR:https://ror.org/01st30669 Pavia U. INFN, Pavia Dipartimento di Fisica, Università di Pavia, Via Bassi 6, Pavia, 27100, , Italy Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Via Bassi 6, Pavia, 27100, , Italy Vadivel, Dhanalakshmi ROR:https://ror.org/00s6t1f81 Pavia U. Dipartimento di Chimica, Università di Pavia, Via Torquato Taramelli 12, Pavia, 27100, , Italy Verna, Riccardo ROR:https://ror.org/01vj6ck58 INFN, Turin Istituto Nazionale di Fisica Nucleare, Sezione di Torino, Via Pietro Giuria 1, Torino, 10125, , Italy Vitulo, Paolo ROR:https://ror.org/00s6t1f81 ROR:https://ror.org/01st30669 Pavia U. INFN, Pavia Dipartimento di Fisica, Università di Pavia, Via Bassi 6, Pavia, 27100, , Italy Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, Via Bassi 6, Pavia, 27100, , Italy publication Energy Nexus 20 (2025) 100604 2748196 146483 http://cds.cern.ch/record/2938850/files/figure4.png 00007 Setup used to test CH$_4$ capture and filtration of pollutant gases. Details in the text. 2748197 208700 http://cds.cern.ch/record/2938850/files/figure3.png 00002 Layout of the barn simulated with COMSOL Multiphysics~\cite{comsol}. 2748198 224166 http://cds.cern.ch/record/2938850/files/figure1.png 00000 Estimated global anthropogenic methane emissions by source, 2020~\cite{wang}. 2748199 3693627 http://cds.cern.ch/record/2938850/files/2503.03692.pdf Fulltext 2748200 112568 http://cds.cern.ch/record/2938850/files/figure2.png 00001 Conversion efficiency of CH$_4$ in CO$_2$. Low-level CH$_4$ (2 ppmv methane in 20\% oxygen) was catalytically reacted over 300 h under continuous, isothermal operation at 310 °C (asterisks, following 8 h activation) versus a traditional two-step process (red circles; 450 °C, 30 min activation followed by 200 °C continuous reaction)~\cite{brennis}. 2800184 24832 http://cds.cern.ch/record/2938850/files/OnlyTDS_2e-5_7m_24h.png 00006 Methane concentration field obtained considering only diffusion. Emission rate of each point source set to \SI{2.38e-5}{\mole\per\metre\per\second} 2800185 2092294 http://cds.cern.ch/record/2938850/files/simplified_barn.png 00001 Simplified layout of the barn in Volvera chosen for the measurement campaigns. 2800186 416209 http://cds.cern.ch/record/2938850/files/Total_head_of_cattle_istat_ref.png 00000 Head of cattle by region in Italy. 2800187 545204 http://cds.cern.ch/record/2938850/files/Interno_Stalla.png 00004 Inside picture of the real barn 2800188 27607 http://cds.cern.ch/record/2938850/files/methane_vs_temperature_new.png 00002 Average concentration of CH$_4$ in 5 measurement points along the barn as a function of the mean temperature recorded inside the barn. The error bars are the standard deviation of each sample. 2800189 4217 http://cds.cern.ch/record/2938850/files/Geometria_H_7m.png 00005 2-D geometry representing the longitudinal section of the barn. Yellow lines represent the open boundaries: two doors and two opening under the roof 2800190 30481 http://cds.cern.ch/record/2938850/files/methane_vs_time_new.png 00003 Concentration of CH$_4$ measured over a 24-hour period, shown separately for each season and for the overall average. The error bars are the standard deviation of each sample. 11 PREPRINT 2938697 SzGeCERN 20250722231041.0 DOI Elsevier B.V. 10.1016/j.nima.2025.170624 publication oai:cds.cern.ch:2938697 cerncds:CERN HAL hal-05118187 https://inspirehep.net/api/oai2d 2025-07-22T04:00:13Z marcxml oai:inspirehep.net:2935447 2025-07-22T00:59:20Z Inspire 2935447 eng Abbrescia, M Bari U. Bari Polytechnic INFN Sezione di Bari, Via E. Orabona 4, Bari, 70125, Italy Elsevier B.V. Performance and long-term aging studies on Eco-Friendly Resistive Plate Chamber detectors 2025 6 p Elsevier B.V. In High Energy Physics Resistive Plate Chamber (RPC) detectors are typically operated in avalanche mode, making use of a high-performance gas mixture whose main component, Tetrafluoroethane (C2H2F4), is classified as a fluorinated high Global Warming Potential greenhouse gas. The RPC EcoGas@GIF++ Collaboration is pursuing an intensive R&D; on new gas mixtures for RPC detectors to explore environmentally friendly alternatives complying with recent European regulations. During the last few years, the performance of RPCs characterized by different layouts and read-out electronics have been studied with Tetrafluoropropene (C3H2F4)–CO2 based gas mixtures at the CERN Gamma Irradiation Facility. A long-term ageing test campaign was launched in 2022 and is still on-going. In 2023 and 2024 all detector systems underwent evaluation by means of dedicated beam tests. Preliminary results on these studies are presented in this paper together with their future perspectives. publication © 2025 Published by Elsevier B.V. 2025 SzGeCERN Detectors and Experimental Techniques Elsevier B.V. Resistive plate chambers Elsevier B.V. Eco-friendly gas mixtures Elsevier B.V. Aging tests ARTICLE CERN Aielli, G Rome U., Tor Vergata INFN, Rome2 INFN Sezione di Roma Tor Vergata, Via della Ricerca Scientifica 1, Roma, 00133, Italy Aly, R Bari Polytechnic Cairo U. Helwan University, Helwan, Cairo Governorate, 4037120, Egypt Arena, M C Pavia U. INFN, Pavia INFN Sezione di Pavia, Via A. Bassi 6, Pavia, 27100, Italy Barroso, M Rio de Janeiro State U. Benussi, L Frascati Bianco, S Frascati Bordon, F CERN Boscherini, D INFN, Bologna Bruni, A INFN, Bologna Buontempo, S INFN, Naples Busato, M CERN Camarri, P Rome U., Tor Vergata Cardarelli, R INFN, Rome2 Congedo, L Bari Polytechnic De Jesus Damiao, D Rio de Janeiro State U. Debernardis, F Bari Polytechnic De Serio, M Bari U. Bari Polytechnic INFN Sezione di Bari, Via E. Orabona 4, Bari, 70125, Italy Di Ciaccio, A Rome U., Tor Vergata Di Stante, L Rome U., Tor Vergata Dupieux, P LPC, Clermont-Ferrand Eysermans, J MIT Ferretti, A Turin U. INFN Sezione di Torino, Via P. Giuria 1, Torino, 10125, Italy Gagliardi, M Turin U. INFN Sezione di Torino, Via P. Giuria 1, Torino, 10125, Italy Galati, G Bari U. Bari Polytechnic INFN Sezione di Bari, Via E. Orabona 4, Bari, 70125, Italy Garetti, S Turin U. INFN Sezione di Torino, Via P. Giuria 1, Torino, 10125, Italy Guida, R CERN Iaselli, G Bari U. Bari Polytechnic INFN Sezione di Bari, Via E. Orabona 4, Bari, 70125, Italy Joly, B LPC, Clermont-Ferrand Juks, S A U. Paris-Saclay Lakshamiah, U Bari U. Bari Polytechnic INFN Sezione di Bari, Via E. Orabona 4, Bari, 70125, Italy Lee, K S Korea U. Liberti, B INFN, Rome2 Ramirez, D Lucero Iberoamericana U. Mandelli, B CERN Manen, S P LPC, Clermont-Ferrand Massa, L INFN, Bologna Pastore, A Bari Polytechnic Pastori, E INFN, Rome2 Piccolo, D Frascati Pizzimento, L INFN, Rome2 Polini, A INFN, Bologna Proto, G INFN, Rome2 Pugliese, G Bari U. Bari Polytechnic INFN Sezione di Bari, Via E. Orabona 4, Bari, 70125, Italy Quaglia, L Turin U. Ramos, D Bari U. Bari Polytechnic INFN Sezione di Bari, Via E. Orabona 4, Bari, 70125, Italy Rigoletti, G CERN Rocchi, A INFN, Rome2 Romano, M INFN, Bologna Salvini, P INFN, Pavia Samalan, A Gent U. Santonico, R Rome U., Tor Vergata Saviano, G Rome U. Sessa, M INFN, Rome2 Simone, S Bari U. Bari Polytechnic INFN Sezione di Bari, Via E. Orabona 4, Bari, 70125, Italy Terlizzi, L Turin U. INFN Sezione di Torino, Via P. Giuria 1, Torino, 10125, Italy Tytgat, M Gent U. Brussels U., IIHE Vrije Universiteit Brussel (VUB-ELEM), Dept. of Physics, Pleinlaan 2, Brussels, 1050, Belgium Vercellin, E Turin U. INFN Sezione di Torino, Via P. Giuria 1, Torino, 10125, Italy Verzeroli, M IP2I, Lyon Zaganidis, N Iberoamericana U. RPC EcoGas@GIF++ Collaboration 170624 publication 2025 Nucl. Instrum. Methods Phys. Res., A 1080 13 ARTICLE 2938614 20250721231353.0 oai:cds.cern.ch:2938614 cerncds:FULLTEXT ATL-ITK-SLIDE-2025-355 eng ATL-COM-ITK-2025-051 The ATLAS collaboration High-Precision Engineering for the ATLAS Inner Tracker Outer Endcap 2025 Chapple, Rob AUTHOR|(CDS)2779708 The University of Manchester (GB) robert.chapple@manchester.ac.uk CERN Geneva 21 Jul 2025 23 p The Large Hadron Collider will be upgraded to increase the machine luminosity. The ATLAS experiment has developed an all-silicon inner tracker (ITk) to operate with much higher density of tracks while improving the performance of the tracking system. To withstand this harsh high luminosity environment, both a low material budget and radiation hardness are critical. Within the ITk pixel system, the outer endcap local supports are three differently sized double loaded half-rings. These structures provide mechanical support and cooling for the silicon pixel modules. The placement of the silicon modules and the local supports is paramount for the optimal reconstruction of the tracks of the particles produced on each collision. These half-ring assemblies feature carbon sandwich structures and radiation-hard polymer inserts, which are hand-assembled using radiation-hard glue. The machining tolerances of the carbon composite structures are typically tighter than expected due to the material’s anisotropic nature and are even tight by metallic standards. To meet the required specifications, extremely precise tooling is needed, testing the limits of CNC technologies. Positional tolerances of hole features in assembly plates are as low as 35 µm. Achieving this requires a precisely flat surface over an area as large as 0.3 m². This is only achievable by using extremely stable CNC machines and software capable of compensating for environmental temperature variations. In addition to these plates, custom fixings are required, produced to fit within these hole features with a clearance of less than 10 µm. Producing these parts is only the first stage. Next, advanced precision metrology is required to verify that the tooling has been made within these specified tolerances. A combination of mechanical, optical and laser metrology techniques is necessary for this. After extensive iterations and skilled technical effort, we have passed the pre-production requirements for these hand-fabricated carbon sandwich structures and are now undergoing full-scale production. In this contribution, all the challenges faced during the R&D and prototyping phases that enabled us to comply with the project specifications will be presented. SLIDE CERN CDS-Invenio WebSubmit Particle Physics - Experiment SzGeCERN ITK SzGeCERN CERN INTNOTE PRIVATLAS PUBLATLASSLIDE CERN LHC ATLAS PH-EP ATLAS Collaboration http://cds.cern.ch/record/2935458 Original Communication (restricted to ATLAS) 2747132 2799771 http://cds.cern.ch/record/2938614/files/ATL-ITK-SLIDE-2025-355.pdf robert.chapple@manchester.ac.uk n 202570 91 PUBLIC 000787278CER PUBLATLASSLIDE Slides 2937973 SzGeCERN 20250711215137.0 oai:cds.cern.ch:2937973 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2503.21185 https://inspirehep.net/api/oai2d 2025-07-11T04:00:02Z marcxml oai:inspirehep.net:2905104 2025-07-10T08:30:27Z Inspire 2905104 arXiv:reportnumber EDMS: 3284315 arXiv arXiv:2503.21185 physics.acc-ph eng Bottura, L luca.bottura@cern.ch CERN arXiv Magnet R&D; for the Muon Collider -- European Strategy Input 2025 2025-03-27 11 p arXiv The Muon Collider, proposed under the International Muon Collider Collaboration (IMCC), represents a groundbreaking advancement in circular collider technology. By using muons instead of protons or electrons, this collider has the potential of unprecedented discovery reach, luminosity, and compact design, significantly increasing energy efficiency, reducing environmental impact and improving sustainability. However, achieving this vision necessitates overcoming unique and extreme challenges in superconducting magnet technology. This document summarizes the state of the art, challenges, and the proposed R&D; roadmap for developing the next generation of superconducting magnet systems crucial for the Muon Collider over the next ten years. The goal is to advance accelerator magnet technology beyond current limits, with a special focus on High-Temperature Superconductors (HTS) materials for high-field and high-temperature applications. This note is a concise summary of the extensive proposal [BOT-2025] which we refer to for detailed referencing and as supporting material. We focus here on the technology gap to be filled by the proposed R&D;, the structure and objectives of the proposed R&D;, and provide the resource estimate for the next ten years. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ The Author(s) 2025 SzGeCERN Accelerators and Storage Rings INSPIRE physics.acc-ph PREPRINT CERN Auchmann, B CERN Boattini, F CERN Bordini, B CERN Caiffi, B Cooley, L CERN Fabbri, S CERN Gourlay, S CERN Mariotto, S CERN Nakamoto, T CERN Prestemon, S CERN Statera, M CERN 2745308 1048890 http://cds.cern.ch/record/2937973/files/2503.21185.pdf Fulltext 11 PREPRINT 2937511 SzGeCERN 20250827132945.0 DOI 10.1007/s42114-025-01359-1 oai:cds.cern.ch:2937511 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:2941234 2025-07-03T11:29:00Z 2025-07-05T04:00:02Z marcxml Inspire 2941234 eng da Silva, Rodrigo José CERN Sao Joao del-Rei Fed. U. U. Bristol (main) submitter Fully bio-based composite and modular metastructures 2025 46 p submitter Abstract The reliance on fossil-derived components in the design of metamaterials and metastructures presents sustainability and environmental challenges, prompting the development of alternative solutions. In response, this study proposes a fully bio-based and modular metastructure composed of rods extracted from the giant bamboo (Dendrocalamus asper) and plant-based polymeric joints derived from soybean (Glycine max) and castor oil (Ricinus communis), aiming to offer a sustainable alternative for load-bearing structural components. The research investigates the design, fabrication, and mechanical performance of a unit trussed cell (50 × 50 × 50 mm3) engineered to exhibit auxetic-like chiral rotation and enhanced energy absorption under compressive loading. These cells are assembled into trussed beams (400 × 50 × 50 mm3), and further into sandwich beams with 5 mm thick balsa wood skins. Material properties of the bamboo and polymer components are assessed via physical, chemical, and mechanical characterisation to asses their potential chemical-adhesion compatibility, density, and mechanical performance. Following the fabrication of the proposed structures, further experimental evaluation includes compression of the trussed cell and four-point bending of the beam configurations, while finite element analysis (FEA) is used to simulate elastic behaviour under torsional and cantilever loading. Results demonstrate that the metastructure trussed cell (with a mass of ~ 30 g) supports up to 700 kg in compression, achieving ~ 2 mm displacement, 4° rotation, and absorbing ~ 750 μJ/mm3 of energy; it also exhibits a force–displacement slope of ~ 4,200 N/mm and an equivalent Poisson ratio near zero within the elastic regime (up to ~ 1 mm displacement). The trussed and sandwich beams exhibit equivalent densities of ~ 0.19 and ~ 0.21 g/cm3, respectively, while achieving bending loads of ~ 2000 N and ~ 3600 N, corresponding to maximum bending moments of ~ 103 and ~ 188 kN∙mm, and toughness values of ~ 158 and ~ 193 μJ/mm3, respectively. Simulated torsional response of the trussed cell indicates a torque of ~ 7,300 N∙mm per degree of twist, while FEA results for cantilever loading show a homogenised flexural modulus of the beams of ~ 623 MPa (trussed) and ~ 751 MPa (sandwich). These outcomes underscore a promising direction for developing renewable, high-strength, and lightweight composite structures, with applications ranging from civil construction to aerospace engineering. Graphical Abstract publication CC-BY-4.0 CERN-RP: Springer http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2025 INSPIRE Other Composite structure Metastructure Truss Lattice Bamboo Beam Sandwich structure Bio-based polymers ARTICLE CERN de Resende, Bárbara Lana Sao Joao del-Rei Fed. U. Comandini, Gianni U. Bristol (main) Lavazza, Jacopo U. Bristol (main) Camanho, Pedro P Porto U. Scarpa, Fabrizio U. Bristol (main) Panzera, Túlio Hallak Sao Joao del-Rei Fed. U. Porto U. 288 4 Adv. Comp. Hybr. Mat. 8 2025 https://link.springer.com/content/pdf/10.1007/s42114-025-01359-1.pdf https://link.springer.com/article/10.1007/s42114-025-01359-1 2743613 12403500 http://cds.cern.ch/record/2937511/files/fulltext.pdf Fulltext 13 ARTICLE 2937068 SzGeCERN 20250701201432.0 DOI Elsevier B.V. 10.1016/j.nima.2025.170591 publication oai:cds.cern.ch:2937068 cerncds:CERN HAL hal-05074993 https://inspirehep.net/api/oai2d 2025-07-01T04:00:03Z marcxml oai:inspirehep.net:2922292 2025-06-30T14:52:56Z Inspire 2922292 eng Verzeroli, Mattia mattia.verzeroli@cern.ch IP2I, Lyon Elsevier B.V. Characterization of glass multigap RPC detector with alternative gas to SF6 2025 Elsevier B.V. Glass Multi-gap Resistive Plate Chamber detectors are primarily valued for their exceptional time resolution and are widely used in fields such as high-energy physics and tomography applications. Traditionally, these detectors are operated using Freon-based gas mixtures, primarily composed of C2H2F4 (R134a) and SF6, both classified as greenhouse gases. This study investigates the development and performance of a novel 4-gaps glass MRPC prototype. A simplified construction method, using circular spacers instead fishing lines, ensures structural integrity while maintaining low production costs. The work focuses on identifying alternatives to SF6, which is being phased out due to its high global warming potential and environmental impact. New EU regulations on fluorinated gases mandate restrictions on SF6 usage, including a complete ban in some applications by 2026, significantly impacting its cost and availability. Initial tests evaluate gas mixtures of R134a and iC4H10 with fixed 5% iC4H10 and SF6 concentrations ranging from 2% to 6%. NovecTM 4710 is also evaluated as a potential SF6 alternative with a significantly lower global warming potential (GWP). Preliminary results indicate that NovecTM 4710 demonstrates comparable efficiency curves while achieving a significant GWP reduction, paving the way for further investigations. Elsevier B.V. publication © 2025 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies. 2025 SzGeCERN Detectors and Experimental Techniques Elsevier B.V. Gaseous detectors Elsevier B.V. Multigap Resistive Plate Chamber Elsevier B.V. Gas mixture Elsevier B.V. SF Elsevier B.V. Eco-friendly gases ARTICLE CERN Guida, Roberto CERN Laktineh, Imad IP2I, Lyon Mandelli, Beatrice CERN Rigoletti, Gianluca CERN 170591 publication 2025 Nucl. Instrum. Methods Phys. Res., A 1078 13 ARTICLE 2941137 20260418042204.0 oai:cds.cern.ch:2941137 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2508.18103 oai:inspirehep.net:2963608 https://inspirehep.net/api/oai2d Inspire 2026-04-17T08:18:32Z 2026-04-18T02:00:10Z marcxml true Inspire 2963608 arXiv arXiv:2508.18103 hep-ex eng Aguilar, J. ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain arXiv Searching non-standard interactions with atmospheric neutrinos at ESSnuSB 2025-08-25 14 p arXiv 14 pages, 5 figures, 3 tables arXiv Atmospheric neutrinos provide a unique avenue to study neutrino interactions in matter. In this work, the prospects of constraining non-standard neutrino interactions with atmospheric neutrino oscillations are investigated for the proposed ESSnuSB far detector. By analyzing atmospheric neutrino samples equivalent to 5.4 Mt$\cdot$year exposure, it is found that ESSnuSB could be able to set the upper bounds $|ε_{eμ}^m| < 0.053, |ε_{eτ}^m| < 0.057, |ε_{μτ}^m| < 0.021, ε_{ee}^m - ε_{μμ}^m < 0.075$ and $|ε_{ττ}^m - ε_{μμ}^m| < 0.031$ at $90\%$ CL, when the results are minimized for $ϕ_{eμ}^m, ϕ_{eτ}^m$ and $ϕ_{μτ}^m$ and normal ordering is assumed for neutrino masses. It is also shown that the presence of non-standard interactions could affect the sensitivities to neutrino mass ordering and $θ_{23}^{}$ octant in comparison to the standard interaction scheme. The results of this work highlight the complementarity between atmospheric and accelerator neutrino programs in ESSnuSB. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ arXiv WARNING: Colon in authors before J. Aguilar : Check author list for collaboration names! hep-ph arXiv Particle Physics - Phenomenology SzGeCERN hep-ex arXiv Particle Physics - Experiment SzGeCERN CERN PREPRINT ESSnuSB Anastasopoulos, M. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Barcot, D. Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Baussan, E. Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Bhattacharyya, A.K. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Bignami, A. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Blennow, M. Royal Inst. Tech., Stockholm Stockholm Observ. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Bogomilov, M. Sofiya U. Sofia University St. Kliment Ohridski, Faculty of Physics, 1164 Sofia, Bulgaria Bolling, B. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Bouquerel, E. Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Bramati, F. INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Branca, A. INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Brunetti, G. INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Bustinduy, I. ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain Carlile, C.J. Lund U. Department of Physics, Lund University, P.O Box 118, 221 00 Lund, Sweden Cederkall, J. Lund U. Department of Physics, Lund University, P.O Box 118, 221 00 Lund, Sweden Choi, T.W. Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Choubey, S. Royal Inst. Tech., Stockholm Stockholm Observ. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Christiansen, P. Lund U. Department of Physics, Lund University, P.O Box 118, 221 00 Lund, Sweden Collins, M. Lund U. ESS, Lund Faculty of Engineering, Lund University, P.O Box 118, 221 00 Lund, Sweden European Spallation Source, Box 176, SE-221 00 Lund, Sweden Morales, E. Cristaldo INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Cupiał, P. AGH-UST, Cracow AGH University of Krakow, al. A. Mickiewicza 30, 30-059 Krakow, Poland D'Ago, D. INFN, Padua INFN Sez. di Padova, Padova, Italy Danared, H. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden de André, J.P.A.M. Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Dracos, M. Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Efthymiopoulos, I. CERN CERN, 1211 Geneva 23, Switzerland Ekelöf, T. Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Eshraqi, M. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Fanourakis, G. Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Farricker, A. Cockcroft Inst. Accel. Sci. Tech. Cockroft Institute (A36), Liverpool University, Warrington WA4 4AD, UK Fasoula, E. Unlisted, GR Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Fukuda, T. Nagoya U., IAR Institute for Advanced Research, Nagoya University, Nagoya 464-8601, Japan Gazis, N. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Geralis, Th. Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Ghosh, M. Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Giarnetti, A. Rome III U. Dipartimento di Matematica e Fisica, Universitá di Roma Tre, Via della Vasca Navale 84, 00146 Rome, Italy Gokbulut, G. Cukurova U. Gent U. University of Cukurova, Faculty of Science and Letters, Department of Physics, 01330 Adana, Turkey Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Hagner, C. U. Hamburg (main) Institute for Experimental Physics, Hamburg University, 22761 Hamburg, Germany Halić, L. Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Hooft, M. Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Iversen, K.E. Lund U. Department of Physics, Lund University, P.O Box 118, 221 00 Lund, Sweden Jachowicz, N. Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Jenssen, M. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Johansson, R. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Kasimi, E. Unlisted, GR Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Kayis Topaksu, A. Cukurova U. University of Cukurova, Faculty of Science and Letters, Department of Physics, 01330 Adana, Turkey Kildetoft, B. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Kordas, K. Unlisted, GR Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Kovac, B. Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Leisos, A. Hellenic Open U., Patras Physics Laboratory, School of Science and Technology, Hellenic Open University, 26335, Patras, Greece Longhin, A. Padua U. INFN, Padua Department of Physics and Astronomy "G. Galilei", University of Padova and INFN Sezione di Padova, Italy Maiano, C. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Marangoni, S. INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Marcos, J.G. Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Marrelli, C. CERN CERN, 1211 Geneva 23, Switzerland Meloni, D. Rome III U. Dipartimento di Matematica e Fisica, Universitá di Roma Tre, Via della Vasca Navale 84, 00146 Rome, Italy Mezzetto, M. INFN, Padua INFN Sez. di Padova, Padova, Italy Milas, N. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Moolya, R. U. Hamburg (main) Institute for Experimental Physics, Hamburg University, 22761 Hamburg, Germany Muñoz, J.L. ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain Niewczas, K. Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Oglakci, M. Cukurova U. University of Cukurova, Faculty of Science and Letters, Department of Physics, 01330 Adana, Turkey Ohlsson, T. Royal Inst. Tech., Stockholm Stockholm Observ. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Olvegård, M. Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Pari, M. Padua U. INFN, Padua Department of Physics and Astronomy "G. Galilei", University of Padova and INFN Sezione di Padova, Italy Patrzalek, D. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Petkov, G. Sofiya U. Sofia University St. Kliment Ohridski, Faculty of Physics, 1164 Sofia, Bulgaria Petridou, Ch. Unlisted, GR Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Poussot, P. Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Psallidas, A. Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Pupilli, F. INFN, Padua INFN Sez. di Padova, Padova, Italy Saiang, D. Lulea U. Department of Civil, Environmental and Natural Resources Engineering Luleå University of Technology, SE-971 87 Lulea, Sweden Sampsonidis, D. Unlisted, GR Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Scanu, A. INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Schwab, C. Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Sordo, F. ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain Stavropoulos, G. Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Tarkeshian, R. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Terranova, F. INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Tolba, T. U. Hamburg (main) Institute for Experimental Physics, Hamburg University, 22761 Hamburg, Germany Trachanas, E. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Tsenov, R. Sofiya U. Sofia University St. Kliment Ohridski, Faculty of Physics, 1164 Sofia, Bulgaria Tsirigotis, A. Hellenic Open U., Patras Physics Laboratory, School of Science and Technology, Hellenic Open University, 26335, Patras, Greece Tzamarias, S.E. Unlisted, GR Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Vanderpoorten, M. Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Vankova-Kirilova, G. Sofiya U. Sofia University St. Kliment Ohridski, Faculty of Physics, 1164 Sofia, Bulgaria Vassilopoulos, N. Beijing, Inst. High Energy Phys. Institute of High Energy Physics (IHEP) Dongguan Campus, Chinese Academy of Sciences (CAS), Guangdong 523803, China Vihonen, S. Royal Inst. Tech., Stockholm Stockholm Observ. Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Wurtz, J. Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Zeter, V. Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Zormpa, O. Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece ESSnuSB Collaboration 2775984 1330048 http://cds.cern.ch/record/2941137/files/2508.18103.pdf Fulltext 2775985 99637 http://cds.cern.ch/record/2941137/files/NSI_article_Fig4.png 00003 Sensitivity to neutrino mass ordering in presence of matter NSI parameters. For each true value, $\chi^2$ is minimized over the test values of the given matter NSI parameter in addition to the standard parameters. The true neutrino mass ordering is assumed to be normal ordering. 2775986 97234 http://cds.cern.ch/record/2941137/files/NSI_article_Fig5.png 00004 Effect of matter NSI parameters $|\epsilon_{e\mu}^m|, |\epsilon_{e\tau}^m|, \epsilon_{\mu\tau}^m|, |\epsilon_{ee}^m - \epsilon_{\mu\mu}^m|$ and $|\epsilon_{\tau\tau}^m - \epsilon_{\mu\mu}^m|$ on the sensitivity to the octant of $\theta_{23}^{}$. For each true value, $\chi^2$ is minimized over the test values of the given matter NSI parameter in addition to the standard parameters. The true neutrino mass ordering is assumed to be normal ordering. 2775987 339150 http://cds.cern.ch/record/2941137/files/NSI_article_Fig2.png 00001 Probability difference $|\Delta P_{\nu_\mu \rightarrow \nu_\mu}^{\rm NSI}| = |P_{\nu_\mu \rightarrow \nu_\mu}^{\rm NSI} - P_{\nu_\mu \rightarrow \nu_\mu}^{\rm SI}|$ for the survival probability $P_{\nu_\mu^{} \rightarrow \nu_\mu^{}}$ due to the NSI effects in neutrino propagation. The probability $P_{\nu_\mu^{} \rightarrow \nu_\mu^{}}^{\rm NSI}$ is computed for one non-zero matter NSI parameter, whereas $P_{\nu_\mu^{} \rightarrow \nu_\mu^{}}^{\rm SI}$ corresponds to standard interactions. The color bar indicates probability differences between $0$ and $100\%$. The probabilities are computed assuming normal ordering for the neutrino masses. 2775988 181944 http://cds.cern.ch/record/2941137/files/NSI_article_Fig3.png 00002 Expected sensitivities to $|\epsilon_{e\mu}^m|, |\epsilon_{e\tau}^m|, |\epsilon_{\mu\tau}^m|, \epsilon_{ee}^m - \epsilon_{\mu\mu}^m$ and $\epsilon_{\tau\tau}^m - \epsilon_{\mu\mu}^m$ for observing atmospheric neutrino oscillations at the ESSnuSB far detector. The simulated data points are fitted with cubic splines. The neutrino mass ordering is assumed to be normal ordering, while the true values of the neutrino oscillation parameters are assumed to be the same as the global best-fit values~\cite{Esteban:2024eli,NuFIT:6.0}. The dashed lines correspond to the $90\%$ and $3\sigma$~CL limits. Note the chosen value range for $\epsilon_{ee}^m - \epsilon_{\mu\mu}^m$. 2775989 260406 http://cds.cern.ch/record/2941137/files/NSI_article_Fig1.png 00000 Absolute values of probability differences for the neutrino oscillation probability $P_{e\mu}^{}$ owing to NSI effects in neutrino propagation. The probability difference is given by $|\Delta P_{\nu_e \rightarrow \nu_\mu}^{\rm NSI}| = |P_{\nu_e \rightarrow \nu_\mu}^{\rm NSI} - P_{\nu_e \rightarrow \nu_\mu}^{\rm SI}|$. In each panel, one NSI parameter is assigned a non-zero value for $P_{\nu_e \rightarrow \nu_\mu}^{\rm NSI}$, while the remaining NSI parameters are kept at zero. For $P_{\nu_e \rightarrow \nu_\mu}^{\rm SI}$, all NSI parameters are zero. The color bar indicates probability differences between $0$ and $100\%$. The probability differences are computed assuming normal ordering for the neutrino masses. 11 PREPRINT 2940460 20260417091049.0 DOI EDP Sciences 10.1051/0004-6361/202555468 oai:cds.cern.ch:2940460 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2507.05215 Inspire oai:inspirehep.net:2943231 2026-03-12T00:02:18Z 2026-03-13T03:00:30Z marcxml true https://inspirehep.net/api/oai2d Inspire 2943231 arXiv arXiv:2507.05215 astro-ph.HE eng Abe, S. ORCID:0000-0001-7250-3596 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan EDP Sciences Testing the ubiquitous presence of very high energy emission in gamma-ray bursts with the MAGIC telescopes 2025-08-01 2025-07-07 15 p arXiv Accepted for publication in A&A EDP Sciences Gamma-ray bursts (GRBs) are the most powerful transient objects in the Universe, and they are a primary target for the MAGIC Collaboration. Recognizing the challenges of observing these elusive objects with Imaging Atmospheric Cherenkov Telescopes (IACTs), we implemented a dedicated observational strategy that included an automated procedure for rapid re-pointing to transient sources. Since 2013, this automated procedure has enabled MAGIC to observe GRBs at a rate of approximately ten per year, which led to the successful detection of two GRBs at very high energies (VHE; E > 100 GeV). We present a comprehensive analysis of 42 non-detected GRBs (4 short GRBs) observed by MAGIC from 2013 to 2019. We derived upper limits (ULs) on the observed energy flux as well as on the intrinsic energy flux corrected for absorption by the extragalactic background light (EBL) from the MAGIC observations in selected energy and time intervals. We conducted a comprehensive study of their properties to investigate the reasons for these non-detections, including the possible peculiar properties of TeV-detected GRBs. We find that strong EBL absorption significantly hinders TeV detection for the majority of GRBs in our sample. For a subset of 6 GRBs with redshift z < 2, we compared the UL on the intrinsic flux in the VHE domain with the simultaneous X-ray flux, which is observed to be at the same level in the current population of TeV-detected GRBs. Based on these inferred MAGIC ULs, we conclude that a VHE component with a luminosity comparable to the simultaneously observed X-ray luminosity cannot be ruled out for this sample.Key words: radiation mechanisms: non-thermal / gamma-ray burst: general / gamma rays: general arXiv Gamma-ray bursts (GRBs) are the most powerful transient objects in the Universe, and they are a primary target for the MAGIC Collaboration. Recognizing the challenges of observing these elusive objects with Imaging Atmospheric Cherenkov Telescopes (IACTs), we implemented a dedicated observational strategy that included an automated procedure for rapid re-pointing to transient sources. Since 2013, this automated procedure has enabled MAGIC to observe GRBs at a rate of approximately ten per year, which led to the successful detection of two GRBs at very high energies (VHE; E > 100 GeV). We present a comprehensive analysis of 42 non-detected GRBs (4 short GRBs) observed by MAGIC from 2013 to 2019. We derived upper limits (ULs) on the observed energy flux as well as on the intrinsic energy flux corrected for absorption by the extragalactic background light (EBL) from the MAGIC observations in selected energy and time intervals. We conducted a comprehensive study of their properties to investigate the reasons for these non-detections, including the possible peculiar properties of TeV-detected GRBs. We find that strong EBL absorption significantly hinders TeV detection for the majority of GRBs in our sample. For a subset of 6 GRBs with redshift z < 2, we compared the UL on the intrinsic flux in the VHE domain with the simultaneous X-ray flux, which is observed to be at the same level in the current population of TeV-detected GRBs. Based on these inferred MAGIC ULs, we conclude that a VHE component with a luminosity comparable to the simultaneously observed X-ray luminosity cannot be ruled out for this sample. publication CC-BY-4.0 EDP Sciences https://creativecommons.org/licenses/by/4.0 Other preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ TIMESTAMP_OF_UPLOAD-2025-08-13-14-02 Extragalactic astronomy https://www.aanda.org/articles/aa/full_html/2025/08/aa55468-25/aa55468-25.html DOKIFILE:aanda2025.8_2025-08-09 arXiv astro-ph.HE SzGeCERN Astrophysics and Astronomy CERN ARTICLE Abhir, J. ORCID:0000-0001-8215-4377 Zurich, ETH ETH Zürich, CH-8093 Zürich, Switzerland Abhishek, A. ORCID:0009-0005-5239-7905 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Acciari, V.A. Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Aguasca-Cabot, A. ORCID:0000-0001-8816-4920 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Agudo, I. ORCID:0000-0002-3777-6182 IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain Aniello, T. ORCID:0009-0004-9368-0515 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Ansoldi, S. ORCID:0000-0002-5613-7693 Udine U. INFN, Trieste ICRA, Rome Università di Udine and INFN Trieste, I-33100 Udine, Italy also at International Center for Relativistic Astrophysics (ICRA), Rome, Italy Antonelli, L.A. INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Engels, A. Arbet ORCID:0000-0001-9076-9582 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Arcaro, C. ORCID:0000-0002-1998-9707 Genoa U. INFN, Genoa Università di Padova and INFN, I-35131 Padova, Italy Arnesen, T.T. H. ORCID:0009-0004-0816-0700 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Asano, K. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Babic, A. ORCID:0000-0002-1444-5604 Zagreb U. Croatian MAGIC Group: University of Zagreb, Faculty of Electrical Engineering and Computing (FER), 10000 Zagreb, Croatia Bakshi, C. ORCID:0009-0007-1843-5386 Saha Inst. Saha Institute of Nuclear Physics, A CI of Homi Bhabha National Institute, Kolkata, 700064 West Bengal, India de Almeida, U. Barres ORCID:0000-0001-7909-588X Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas (CBPF), 22290-180 URCA, Rio de Janeiro (RJ), Brazil Barrio, J.A. ORCID:0000-0002-0965-0259 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Barrios-Jimenez, L. ORCID:0009-0008-6006-175X IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Batkovic, I. Genoa U. INFN, Genoa Università di Padova and INFN, I-35131 Padova, Italy Baxter, J. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Gonzalez, J. Becerra IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Bednarek, W. ORCID:0000-0003-0605-108X Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Bernardini, E. ORCID:0000-0003-3108-1141 Genoa U. INFN, Genoa Università di Padova and INFN, I-35131 Padova, Italy Bernete, J. Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Berti, A. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Besenrieder, J. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Bigongiari, C. ORCID:0000-0003-3293-8522 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Biland, A. ORCID:0000-0002-1288-833X Zurich, ETH ETH Zürich, CH-8093 Zürich, Switzerland Blanch, O. ORCID:0000-0002-8380-1633 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Bonnoli, G. ORCID:0000-0003-2464-9077 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Bošnjak, Ž. ORCID:0000-0001-6536-0320 Zagreb U. Croatian MAGIC Group: University of Zagreb, Faculty of Electrical Engineering and Computing (FER), 10000 Zagreb, Croatia Bronzini, E. ORCID:0000-0001-8378-4303 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Burelli, I. Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Campoy-Ordaz, A. ORCID:0000-0001-9352-8936 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain Carosi, A. INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Carosi, R. ORCID:0000-0002-4137-4370 Pisa U. Università di Pisa and INFN Pisa, I-56126 Pisa, Italy Carretero-Castrillo, M. ORCID:0000-0002-1426-1311 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Castro-Tirado, A.J. IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain Cerasole, D. ORCID:0000-0003-2033-756X Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Ceribella, G. ORCID:0000-0002-9768-2751 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Chai, Y. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Cifuentes, A. Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Contreras, J.L. ORCID:0000-0001-7282-2394 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Cortina, J. Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Covino, S. ORCID:0000-0001-9078-5507 INAF, Rome Insubria U., Como National Institute for Astrophysics (INAF), I-00136 Rome, Italy also at Como Lake centre for AstroPhysics (CLAP), DiSAT, Università dell’Insubria, via Valleggio 11, 22100 Como, Italy D'Amico, G. Bergen U. Department for Physics and Technology, University of Bergen, Bergen, Norway Da Vela, P. ORCID:0000-0003-0604-4517 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Dazzi, F. ORCID:0000-0001-5409-6544 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy De Angelis, A. Genoa U. INFN, Genoa Università di Padova and INFN, I-35131 Padova, Italy De Lotto, B. ORCID:0000-0003-3624-4480 Udine U. INFN, Trieste Università di Udine and INFN Trieste, I-33100 Udine, Italy de Menezes, R. ORCID:0000-0001-5489-4925 INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Delfino, M. ORCID:0000-0002-9468-4751 Barcelona, IFAE PIC, Bellaterra Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain also at Port d’Informació Científica (PIC), E-08193 Bellaterra (Barcelona), Spain Delgado, J. ORCID:0000-0002-0166-5464 Barcelona, IFAE PIC, Bellaterra Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain also at Port d’Informació Científica (PIC), E-08193 Bellaterra (Barcelona), Spain Delgado Mendez, C. ORCID:0000-0002-7014-4101 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Di Pierro, F. ORCID:0000-0003-4861-432X INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Di Tria, R. ORCID:0009-0007-1088-5307 Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Di Venere, L. Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Dinesh, A. HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Dominis Prester, D. Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Donini, A. INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Dorner, D. ORCID:0000-0001-8823-479X Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Doro, M. ORCID:0000-0001-9104-3214 Genoa U. INFN, Genoa Università di Padova and INFN, I-35131 Padova, Italy Eisenberger, L. Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Elsaesser, D. ORCID:0000-0001-6796-3205 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Escudero, J. ORCID:0000-0002-4131-655X IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain Fariña, L. Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Fattorini, A. ORCID:0000-0002-1056-9167 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Foffano, L. ORCID:0000-0002-0709-9707 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Font, L. Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain Fröse, S. ORCID:0000-0003-1832-4129 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Fukami, S. ORCID:0000-0003-4025-7794 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Fukazawa, Y. Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan López, R.J. García ORCID:0000-0002-8204-6832 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain García Soto, S. ORCID:0009-0003-9726-5901 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Garczarczyk, M. ORCID:0000-0002-0445-4566 DESY, Zeuthen Deutsches Elektronen-Synchrotron (DESY), D-15738 Zeuthen, Germany Gasparyan, S. ICRANet, Yerevan Armenian MAGIC Group: ICRANet-Armenia, 0019 Yerevan, Armenia Gaug, M. ORCID:0000-0001-8442-7877 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain Giesbrecht Paiva, J.G. Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas (CBPF), 22290-180 URCA, Rio de Janeiro (RJ), Brazil Giglietto, N. ORCID:0000-0002-9021-2888 Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Giordano, F. Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Gliwny, P. Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Godinovic, N. ORCID:0000-0002-4674-9450 Split U. Croatian MAGIC Group: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), 21000 Split, Croatia Gradetzke, T. ORCID:0000-0003-0646-2495 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Grau, R. ORCID:0000-0002-1891-6290 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Green, D. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Green, J.G. ORCID:0000-0002-1130-6692 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Günther, P. Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Hadasch, D. ORCID:0000-0001-8663-6461 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Hahn, A. ORCID:0000-0003-0827-5642 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Hassan, T. Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Heckmann, L. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Llorente, J. Herrera IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Hrupec, D. Boskovic Inst., Zagreb Croatian MAGIC Group: Josip Juraj Strossmayer University of Osijek, Department of Physics, 31000 Osijek, Croatia Imazawa, R. Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan Inoue, S. Tokyo U., ICRR Chiba U. Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Japanese MAGIC Group: Chiba University, ICEHAP, 263-8522 Chiba, Japan Israyelyan, D. ORCID:0000-0002-5804-6605 ICRANet, Yerevan Armenian MAGIC Group: ICRANet-Armenia, 0019 Yerevan, Armenia Jahanvi, J. ORCID:0000-0002-7217-0821 Udine U. INFN, Trieste Università di Udine and INFN Trieste, I-33100 Udine, Italy Martínez, I. Jiménez ORCID:0000-0003-2150-6919 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Jiménez Quiles, J. ORCID:0009-0005-6729-5709 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Jormanainen, J. ORCID:0000-0003-4519-7751 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Kankkunen, S. Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Kayanoki, T. ORCID:0000-0002-6960-9274 Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan Konrad, J. ORCID:0009-0000-1257-4771 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Kouch, P.M. ORCID:0000-0002-9328-2750 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Kubo, H. ORCID:0000-0001-9159-9853 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Kushida, J. Tokai U., Hiratsuka Japanese MAGIC Group: Department of Physics, Tokai University, Hiratsuka, 259-1292 Kanagawa, Japan Láinez, M. ORCID:0000-0003-3848-922X HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Lamastra, A. ORCID:0000-0003-2403-913X INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Lindfors, E. Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Lombardi, S. ORCID:0000-0002-6336-865X INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Longo, F. ORCID:0000-0003-2501-2270 Udine U. INFN, Trieste Trieste U. Università di Udine and INFN Trieste, I-33100 Udine, Italy also at Dipartimento di Fisica, Università di Trieste, I-34127 Trieste, Italy López-Coto, R. IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain López-Moya, M. ORCID:0000-0002-8791-7908 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain López-Oramas, A. IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Loporchio, S. Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Lulic, L. ORCID:0009-0004-6520-7093 Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Lyard, E. Geneva U. University of Geneva, Chemin d’Ecogia 16, CH-1290 Versoix, Switzerland Majumdar, P. Saha Inst. Saha Institute of Nuclear Physics, A CI of Homi Bhabha National Institute, Kolkata, 700064 West Bengal, India Makariev, M. Sofiya, Inst. Nucl. Res. Inst. for Nucl. Research and Nucl. Energy, Bulgarian Academy of Sciences, BG-1784 Sofia, Bulgaria Mallamaci, M. Catania U. INFN, Catania INFN MAGIC Group: INFN Sezione di Catania and Dipartimento di Fisica e Astronomia, University of Catania, I-95123 Catania, Italy Maneva, G. ORCID:0000-0002-5959-4179 Sofiya, Inst. Nucl. Res. Inst. for Nucl. Research and Nucl. Energy, Bulgarian Academy of Sciences, BG-1784 Sofia, Bulgaria Manganaro, M. Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Mangano, S. ORCID:0000-0001-5872-1191 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Mannheim, K. ORCID:0000-0002-2950-6641 Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Marchesi, S. ORCID:0000-0001-5544-0749 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Mariotti, M. ORCID:0000-0003-3297-4128 Genoa U. INFN, Genoa Università di Padova and INFN, I-35131 Padova, Italy Martínez, M. Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Maruševec, P. ORCID:0000-0002-6748-4615 Zagreb U. Croatian MAGIC Group: University of Zagreb, Faculty of Electrical Engineering and Computing (FER), 10000 Zagreb, Croatia Mas-Aguilar, A. HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Mazin, D. Tokyo U., ICRR Garching, Max Planck Inst., MPE Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Max-Planck-Institut für Physik, D-85748 Garching, Germany Menchiari, S. ORCID:0009-0006-6386-3702 IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain Gallego, J. Méndez IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain Menon, S. ORCID:0009-0007-6360-6500 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Miceli, D. ORCID:0000-0002-2686-0098 Genoa U. INFN, Genoa Università di Padova and INFN, I-35131 Padova, Italy Miranda, J.M. INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Mirzoyan, R. ORCID:0000-0003-0163-7233 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Molero González, M. IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Molina, E. IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Mondal, H.A. Saha Inst. Saha Institute of Nuclear Physics, A CI of Homi Bhabha National Institute, Kolkata, 700064 West Bengal, India Moralejo, A. ORCID:0000-0002-1344-9080 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Moretti, E. Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Nakamori, T. Yamagata U. Japanese MAGIC Group: Department of Physics, Yamagata University, Yamagata 990-8560, Japan Nanci, C. ORCID:0000-0002-1791-8235 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Nava, L. ORCID:0000-0001-5960-0455 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Neustroev, V. ORCID:0000-0003-4772-595X Oulu U. Finnish MAGIC Group: Space Physics and Astronomy Research Unit, University of Oulu, FI-90014 Oulu, Finland Nickel, L. Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Nievas Rosillo, M. ORCID:0000-0002-8321-9168 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Nigro, C. Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Nikolic, L. INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Nilsson, K. Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Nishijima, K. ORCID:0000-0002-1830-4251 Tokai U., Hiratsuka Japanese MAGIC Group: Department of Physics, Tokai University, Hiratsuka, 259-1292 Kanagawa, Japan Noda, K. Chiba U. Japanese MAGIC Group: Chiba University, ICEHAP, 263-8522 Chiba, Japan Nozaki, S. ORCID:0000-0002-6246-2767 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Okumura, A. ORCID:0000-0002-3055-7964 KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, 464-6801 Nagoya, Japan Otero-Santos, J. Genoa U. INFN, Genoa Università di Padova and INFN, I-35131 Padova, Italy Paiano, S. ORCID:0000-0002-2239-3373 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Paneque, D. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Paoletti, R. INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Paredes, J.M. ORCID:0000-0002-1566-9044 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Peresano, M. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Persic, M. Udine U. INFN, Trieste CERN INFN, Padua Università di Udine and INFN Trieste, I-33100 Udine, Italy also at INAF Padova, Padova, Italy Pihet, M. Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Pirola, G. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Podobnik, F. ORCID:0000-0001-6125-9487 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Prada Moroni, P.G. Pisa U. Università di Pisa and INFN Pisa, I-56126 Pisa, Italy Prandini, E. Genoa U. INFN, Genoa Università di Padova and INFN, I-35131 Padova, Italy Ribó, M. ORCID:0000-0002-9931-4557 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Rico, J. Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Righi, C. INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Sahakyan, N. ICRANet, Yerevan Armenian MAGIC Group: ICRANet-Armenia, 0019 Yerevan, Armenia Saito, T. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Saturni, F.G. ORCID:0000-0002-1946-7706 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Schmitz, K. ORCID:0000-0002-9883-4454 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Schmuckermaier, F. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Sciaccaluga, A. ORCID:0000-0001-6181-839X INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Silvestri, G. Genoa U. INFN, Genoa Università di Padova and INFN, I-35131 Padova, Italy Simongini, A. ORCID:0009-0000-3416-9865 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Sitarek, J. Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Sliusar, V. Geneva U. University of Geneva, Chemin d’Ecogia 16, CH-1290 Versoix, Switzerland Sobczynska, D. ORCID:0000-0003-4973-7903 Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Stamerra, A. ORCID:0000-0002-9430-5264 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Striškovic, J. Boskovic Inst., Zagreb Croatian MAGIC Group: Josip Juraj Strossmayer University of Osijek, Department of Physics, 31000 Osijek, Croatia Strom, D. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Strzys, M. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Suda, Y. Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan Tajima, H. KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, 464-6801 Nagoya, Japan Takahashi, M. KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, 464-6801 Nagoya, Japan Takeishi, R. ORCID:0000-0001-6335-5317 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Temnikov, P. Sofiya, Inst. Nucl. Res. Inst. for Nucl. Research and Nucl. Energy, Bulgarian Academy of Sciences, BG-1784 Sofia, Bulgaria Terauchi, K. Kyoto U. Japanese MAGIC Group: Department of Physics, Kyoto University, 606-8502 Kyoto, Japan Terzic, T. ORCID:0000-0002-4209-3407 Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Teshima, M. ORCID:0009-0003-3424-2534 Garching, Max Planck Inst., MPE Tokyo U., ICRR Max-Planck-Institut für Physik, D-85748 Garching, Germany Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Tutone, A. ORCID:0000-0002-2840-0001 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Ubach, S. ORCID:0000-0002-6159-5883 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain van Scherpenberg, J. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Vazquez Acosta, M. IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200 La Laguna, Tenerife, Spain Ventura, S. INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Verna, G. ORCID:0000-0001-5916-9028 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Viale, I. INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Vigliano, A. Udine U. INFN, Trieste Università di Udine and INFN Trieste, I-33100 Udine, Italy Vigorito, C.F. ORCID:0000-0002-0069-9195 INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Visentin, E. INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Vitale, V. INFN, Rome2 INFN MAGIC Group: INFN Roma Tor Vergata, I-00133 Roma, Italy Vovk, I. ORCID:0000-0003-3444-3830 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Walter, R. Geneva U. University of Geneva, Chemin d’Ecogia 16, CH-1290 Versoix, Switzerland Wersig, F. Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Will, M. ORCID:0000-0002-7504-2083 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Yamamoto, T. Konan U. Japanese MAGIC Group: Department of Physics, Konan University, Kobe, Hyogo 658-8501, Japan Yeung, P.K. H. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan A96 Astron. Astrophys. 700 2025 2774466 36212 http://cds.cern.ch/record/2940460/files/sed_130701A.png 00010 Simultaneous X-ray and MAGIC SEDs for GRB~130701A and GRB~141220A. The X-ray fluxes are corrected for dust extinction. The VHE flux ULs are corrected for EBL absorption. For each GRB, two different time intervals are considered. 2774467 32926 http://cds.cern.ch/record/2940460/files/GRB_MAGIC_delay_t90_ratio_2013_2019.png 00000 Ratio of the observation delay $T_{delay}$ and $T_{90}$ vs. $T_{delay}$ for the GRBs listed in Table \ref{tab:grb}. GRBs with and without redshift are denoted by red and blue markers, respectively. The dashed horizontal line denotes when the ratio is equal to one, meaning that for GRBs with a ratio lower than one ,observations started on a timescale comparable to the duration of the prompt emission. For the sample under consideration, the GRBs fulfilling these conditions are GRB131030A, GRB141026A, GRB150428B, GRB170728B, and GRB180720C. The only GRB from this sample that was significantly detected at TeV energies, namely GRB~190114C, is marked with an empty circle. 2774468 2011328 http://cds.cern.ch/record/2940460/files/document.pdf Fulltext 2774469 80148 http://cds.cern.ch/record/2940460/files/EBL_tau_exp_complete.png 00001 Top panel: EBL attenuation factor in the 0.1 - 10 TeV energy range for three different redshift values (z = 0.5, 1, and 2) and for the three different EBL models we used in this study: \cite{Dominguez} (D11), \cite{ebl_franceschini_2018} (F18), and \cite{ebl_gilmore_2012} (G12). Bottom panel: Ratio of the EBL attenuation factors for the three EBL models adopted in this study (D11, G12, and F18) at redshift z = 2. 2774470 21811 http://cds.cern.ch/record/2940460/files/GRB130701A.png 00004 Multi-wavelength light curves of the subsample of six GRBs described in Sect. \ref{subsubsec:interesting_grbs} and Table \ref{tab:interesting_uls_grb}. We show the flux light curves with X-ray data (black for BAT and blue for XRT), average X-ray flux in the MAGIC observational time windows (grey points), LAT data (red, if present), and MAGIC ULs assuming two different photon indices and EBL models for the subsample selected for the comparison with lower-energy bands. The time windows in which MAGIC ULs were computed are marked with vertical red and green stripes. 2774471 21572 http://cds.cern.ch/record/2940460/files/GRB141220A.png 00006 Multi-wavelength light curves of the subsample of six GRBs described in Sect. \ref{subsubsec:interesting_grbs} and Table \ref{tab:interesting_uls_grb}. We show the flux light curves with X-ray data (black for BAT and blue for XRT), average X-ray flux in the MAGIC observational time windows (grey points), LAT data (red, if present), and MAGIC ULs assuming two different photon indices and EBL models for the subsample selected for the comparison with lower-energy bands. The time windows in which MAGIC ULs were computed are marked with vertical red and green stripes. 2774472 21028 http://cds.cern.ch/record/2940460/files/GRB131030A.png 00005 Multi-wavelength light curves of the subsample of six GRBs described in Sect. \ref{subsubsec:interesting_grbs} and Table \ref{tab:interesting_uls_grb}. We show the flux light curves with X-ray data (black for BAT and blue for XRT), average X-ray flux in the MAGIC observational time windows (grey points), LAT data (red, if present), and MAGIC ULs assuming two different photon indices and EBL models for the subsample selected for the comparison with lower-energy bands. The time windows in which MAGIC ULs were computed are marked with vertical red and green stripes. 2774473 63959 http://cds.cern.ch/record/2940460/files/MAGIC_non_interesting_GRBs_150.png 00002 Observed flux points or ULs for TeV-detected GRBs (empty markers) and most stringent ULs for catalog of GRBs non-detected by MAGIC (filled markers) vs. exposure time. The $2\sigma$ sensitivity level curves of the MAGIC and CTAO-North array are also displayed. Two reference energy values are shown: 150 GeV (left plot) and 250 GeV (right plot). 2774474 20212 http://cds.cern.ch/record/2940460/files/GRB160623A.png 00007 Multi-wavelength light curves of the subsample of six GRBs described in Sect. \ref{subsubsec:interesting_grbs} and Table \ref{tab:interesting_uls_grb}. We show the flux light curves with X-ray data (black for BAT and blue for XRT), average X-ray flux in the MAGIC observational time windows (grey points), LAT data (red, if present), and MAGIC ULs assuming two different photon indices and EBL models for the subsample selected for the comparison with lower-energy bands. The time windows in which MAGIC ULs were computed are marked with vertical red and green stripes. 2774475 30470 http://cds.cern.ch/record/2940460/files/sed_141220A.png 00011 Simultaneous X-ray and MAGIC SEDs for GRB~130701A and GRB~141220A. The X-ray fluxes are corrected for dust extinction. The VHE flux ULs are corrected for EBL absorption. For each GRB, two different time intervals are considered. 2774476 21020 http://cds.cern.ch/record/2940460/files/GRB171020A.png 00009 Multi-wavelength light curves of the subsample of six GRBs described in Sect. \ref{subsubsec:interesting_grbs} and Table \ref{tab:interesting_uls_grb}. We show the flux light curves with X-ray data (black for BAT and blue for XRT), average X-ray flux in the MAGIC observational time windows (grey points), LAT data (red, if present), and MAGIC ULs assuming two different photon indices and EBL models for the subsample selected for the comparison with lower-energy bands. The time windows in which MAGIC ULs were computed are marked with vertical red and green stripes. 2774477 108262 http://cds.cern.ch/record/2940460/files/MAGIC_non_interesting_GRBs_250.png 00003 Observed flux points or ULs for TeV-detected GRBs (empty markers) and most stringent ULs for catalog of GRBs non-detected by MAGIC (filled markers) vs. exposure time. The $2\sigma$ sensitivity level curves of the MAGIC and CTAO-North array are also displayed. Two reference energy values are shown: 150 GeV (left plot) and 250 GeV (right plot). 2774478 1843371 http://cds.cern.ch/record/2940460/files/2507.05215.pdf Fulltext 2774479 22415 http://cds.cern.ch/record/2940460/files/GRB160625B.png 00008 Multi-wavelength light curves of the subsample of six GRBs described in Sect. \ref{subsubsec:interesting_grbs} and Table \ref{tab:interesting_uls_grb}. We show the flux light curves with X-ray data (black for BAT and blue for XRT), average X-ray flux in the MAGIC observational time windows (grey points), LAT data (red, if present), and MAGIC ULs assuming two different photon indices and EBL models for the subsample selected for the comparison with lower-energy bands. The time windows in which MAGIC ULs were computed are marked with vertical red and green stripes. 13 ARTICLE 2944779 SzGeCERN 20250930222651.0 DOI Springer 10.1038/s41598-021-83798-6 oai:cds.cern.ch:2944779 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2025-09-30T04:00:08Z marcxml oai:inspirehep.net:1847719 2025-09-29T19:35:20Z Inspire 1847719 eng McKee, Anna M ORCID:0000-0003-2790-5320 Unlisted, US Springer Feral swine as sources of fecal contamination in recreational waters 2021 Springer Recreational waters are primary attractions at many national and state parks where feral swine populations are established, and thus are possible hotspots for visitor exposure to feral swine contaminants. Microbial source tracking (MST) was used to determine spatial and temporal patterns of fecal contamination in Congaree National Park (CONG) in South Carolina, U.S.A., which has an established population of feral swine and is a popular destination for water-based recreation. Water samples were collected between December 2017 and June 2019 from 18 surface water sites distributed throughout CONG. Host specific MST markers included human (HF183), swine (Pig2Bac), ruminant (Rum2Bac), cow (CowM3), chicken (CL), and a marker for shiga toxin producing $Escherichia$ $coli$ (STEC; $stx2$). Water samples were also screened for culturable $Escherichia$ $coli$ ($E. coli$) as part of a citizen science program. Neither the cow nor chicken MST markers were detected during the study. The human marker was predominantly detected at boundary sites or could be attributed to upstream sources. However, several detections within CONG without concurrent detections at upstream external sites suggested occasional internal contamination from humans. The swine marker was the most frequently detected of all MST markers, and was present at sites located both internal and external to the Park. Swine MST marker concentrations ≥ 43 gene copies/mL were associated with culturable E. coli concentrations greater than the U.S. Environmental Protection Agency beach action value for recreational waters. None of the MST markers showed a strong association with detection of the pathogenic marker ($stx2$). Limited information about the health risk from exposure to fecal contamination from non-human sources hampers interpretation of the human health implications. CC-BY-4.0 Springer http://creativecommons.org/licenses/by/4.0/ ARTICLE CERN Bradley, Paul M ORCID:0000-0001-7522-8606 GRID:grid.2865.9 Unlisted, US Shelley, David Unlisted, US McCarthy, Shea GRID:grid.254567.7 ROR:https://ror.org/02b6qw903 South Carolina U. Department of Environmental Health Sciences, University of South Carolina, 921 Assembly St, 29201 Columbia, SC, USA Molina, Marirosa ORCID:0000-0002-6373-8374 GRID:grid.418698.a Unlisted, US 4212 1 2021 Sci. Rep. 11 2782839 3099495 http://cds.cern.ch/record/2944779/files/s41598-021-83798-6.pdf Fulltext 13 ARTICLE 2942367 20260311041617.0 oai:cds.cern.ch:2942367 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI arXiv 10.1038/s42254-025-00897-3 publication arXiv oai:arXiv.org:2508.21796 oai:inspirehep.net:2964993 https://inspirehep.net/api/oai2d Inspire 2026-03-10T13:58:07Z 2026-03-11T03:00:10Z marcxml true Inspire 2964993 arXiv arXiv:2508.21796 astro-ph.HE FERMILAB-PUB-26-0089-PPD eng Albrecht, J. ORCID:0000-0001-8636-1621 johannes.albrecht@tu-dortmund.de GRID:grid.5675.1 ROR:https://ror.org/04tsk2644 ROR:https://ror.org/04tsk2644 ROR:https://ror.org/047dqcg40 Ruhr U., Bochum, RAPP Ctr. Ruhr U., Bochum Ruhr U., Astron. Inst. Dortmund U. Korea U. Ruhr Astroparticle and Plasma Physics Center (RAPP Center), Bochum, Germany Department of Physics, TU Dortmund University, Dortmund, Germany Lamarr Institute for Machine Learning and Artificial Intelligence, Dortmund, Germany Global tuning of hadronic interaction models with accelerator-based and astroparticle data arXiv Road map for the tuning of hadronic interaction models with accelerator-based and astroparticle data 2025-12-16 2025-08-29 17 p arXiv 64 pages, 6 figures, 6 tables, submitted for publication in Nature Reviews Physics Springer In high-energy and astroparticle physics, event generators have an essential role, even in the simplest data analyses. Physical processes occurring in hadronic collisions are simulated within a Monte Carlo framework but a major challenge remains modelling of hadron dynamics at low momentum transfer, which includes the initial and final phases of every hadronic collision. Phenomenological models inspired by quantum chromodynamics used for these phases cannot guarantee completeness or correctness over the full phase space. These models usually include parameters which must be tuned to suitable experimental data. Until now, event generators have primarily been developed and tuned based on data from high-energy physics experiments at accelerators. However, in many cases, they have been found to not satisfactorily describe data from astroparticle experiments, which provide sensitivity especially to hadrons produced nearly parallel to the collision axis and cover centre-of-mass energies up to several hundred tera-electronvolts, well beyond those reached at colliders so far. Here, we address the complementarity of these two sets of data and present a roadmap for a unified tuning of event generators with accelerator-based and astroparticle data. arXiv In high-energy and astroparticle physics, event generators play an essential role, even in the simplest data analyses. As analysis techniques become more sophisticated, e.g. based on deep neural networks, their correct description of the observed event characteristics becomes even more important. Physical processes occurring in hadronic collisions are simulated within a Monte Carlo framework. A major challenge is the modeling of hadron dynamics at low momentum transfer, which includes the initial and final phases of every hadronic collision. QCD-inspired phenomenological models used for these phases cannot guarantee completeness or correctness over the full phase space. These models usually include parameters which must be tuned to suitable experimental data. Until now, event generators have been developed and tuned mainly on the basis of data from high-energy physics experiments at accelerators. The wealth of data available from the latest generation of astroparticle experiments has not yet been fully exploited, and in many cases is not satisfactorily described. Both kinds of data sets are complementary as astroparticle experiments provide sensitivity especially to hadrons produced nearly parallel to the collision axis and cover center-of-mass energies up to several hundred TeV, well beyond those reached at colliders so far. In this report, we provide an overview of state-of-the-art event generators and their tuning, including the most relevant inputs from high-energy accelerator and astroparticle experiments. We present a road map that shows, for the first time, how the unified tuning of event generators with accelerator-based and astroparticle data can be performed. preprint CC BY-SA 4.0 http://creativecommons.org/licenses/by-sa/4.0/ publication Springer Nature Limited 2026 SzGeCERN Particle Physics - Phenomenology SzGeCERN Particle Physics - Experiment SzGeCERN Astrophysics and Astronomy CERN ARTICLE Becker Tjus, J. ORCID:0000-0002-1748-7367 GRID:grid.5570.7 GRID:grid.5371.0 ROR:https://ror.org/04tsk2644 ROR:https://ror.org/04tsk2644 ROR:https://ror.org/040wg7k59 Ruhr U., Bochum, RAPP Ctr. Ruhr U., Bochum Ruhr U., Astron. Inst. Chalmers U. Tech. Ruhr Astroparticle and Plasma Physics Center (RAPP Center), Bochum, Germany Theoretical Physics IV: Plasma Astroparticle Physics, Ruhr University Bochum, Bochum, Germany Department of Space, Earth and Environment, Chalmers University of Technology, Gothenburg, Sweden Behling, N. ORCID:0000-0003-4750-7872 GRID:grid.5675.1 Dortmund U. Department of Physics, TU Dortmund University, Dortmund, Germany Blazek, J. ORCID:0000-0002-6987-3833 GRID:grid.424881.3 ROR:https://ror.org/02yhj4v17 Prague, Inst. Phys. FZU — Institute of Physics of the Czech Academy of Sciences, Prague, Czech Republic Bleicher, M. ORCID:0000-0003-2926-642X GRID:grid.7839.5 ROR:https://ror.org/04cvxnb49 Frankfurt U., FIAS Institute for Theoretical Physics, Goethe University Frankfurt, Frankfurt am Main, Germany Boelhauve, J. GRID:grid.5675.1 Dortmund U. Department of Physics, TU Dortmund University, Dortmund, Germany Cazon, L. ORCID:0000-0001-6748-8395 GRID:grid.11794.3a ROR:https://ror.org/030eybx10 Santiago de Compostela U., IGFAE Instituto Galego de Física de Altas Enerxías (IGFAE), Universidade de Santiago de Compostela, Santiago de Compostela, Spain Conceição, R. ORCID:0000-0003-4945-5340 GRID:grid.9983.b GRID:grid.420929.4 ROR:https://ror.org/01c27hj86 ROR:https://ror.org/01hys1667 Lisbon, CFTP LIP, Lisbon Physics Department, Instituto Superior Técnico (IST), University of Lisbon, Lisbon, Portugal Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Lisbon, Portugal Dembinski, H. GRID:grid.5675.1 ROR:https://ror.org/04tsk2644 ROR:https://ror.org/04tsk2644 Ruhr U., Bochum, RAPP Ctr. Ruhr U., Bochum Ruhr U., Astron. Inst. Dortmund U. Ruhr Astroparticle and Plasma Physics Center (RAPP Center), Bochum, Germany Department of Physics, TU Dortmund University, Dortmund, Germany Dietrich, L. GRID:grid.5675.1 Dortmund U. Department of Physics, TU Dortmund University, Dortmund, Germany Ebr, J. ORCID:0000-0001-8807-6162 GRID:grid.424881.3 ROR:https://ror.org/02yhj4v17 Prague, Inst. Phys. FZU — Institute of Physics of the Czech Academy of Sciences, Prague, Czech Republic Ellbracht, J. GRID:grid.5675.1 Dortmund U. Department of Physics, TU Dortmund University, Dortmund, Germany Engel, R. ORCID:0000-0003-2924-8889 GRID:grid.7892.4 KIT, Karlsruhe, SCC Institute for Astroparticle Physics, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany Fedynitch, A. ORCID:0000-0003-2837-3477 GRID:grid.28665.3f ROR:https://ror.org/05bxb3784 Academia Sinica, Taiwan Institute of Physics, Academia Sinica, Taipei, Taiwan Fieg, M. ORCID:0000-0002-7027-6921 GRID:grid.417851.e ROR:https://ror.org/04gyf1771 ROR:https://ror.org/020hgte69 UC, Irvine Fermilab Particle Theory Department, Fermilab, Batavia, IL, USA Garzelli, M.V. ORCID:0000-0003-2472-2617 GRID:grid.9026.d ROR:https://ror.org/00g30e956 Hamburg U., Inst. Theor. Phys. II II Institute for Theoretical Physics, University of Hamburg, Hamburg, Germany Gaudu, C. ORCID:0000-0002-2803-4873 gaudu@uni-wuppertal.de GRID:grid.7787.f ROR:https://ror.org/00613ak93 Wuppertal U., Dept. Math. Faculty of Mathematics and Natural Sciences, University of Wuppertal, Wuppertal, Germany Graziani, G. ORCID:0000-0001-8212-846X GRID:grid.470204.5 ROR:https://ror.org/02vv5y108 INFN, Florence INFN, Sezione di Firenze, Florence, Italy Gutjahr, P. ORCID:0000-0001-7980-7285 GRID:grid.5675.1 Dortmund U. Department of Physics, TU Dortmund University, Dortmund, Germany Haungs, A. ORCID:0000-0002-9638-7574 GRID:grid.7892.4 KIT, Karlsruhe, SCC Institute for Astroparticle Physics, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany Huege, T. ORCID:0000-0002-2783-4772 GRID:grid.7892.4 GRID:grid.8767.e ROR:https://ror.org/040w2dm02 KIT, Karlsruhe, SCC Brussels U., IIHE Institute for Astroparticle Physics, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany Astrophysical Institute, Vrije Universiteit Brussel, Brussels, Belgium Hymon, K. ORCID:0000-0002-4377-5207 GRID:grid.5675.1 Dortmund U. Department of Physics, TU Dortmund University, Dortmund, Germany Hünnefeld, M. GRID:grid.5675.1 Dortmund U. Department of Physics, TU Dortmund University, Dortmund, Germany Kampert, K.-H. ORCID:0000-0002-2805-0195 kampert@uni-wuppertal.de GRID:grid.7787.f ROR:https://ror.org/00613ak93 ROR:https://ror.org/04tsk2644 ROR:https://ror.org/04tsk2644 Wuppertal U., Dept. Math. Ruhr U., Bochum, RAPP Ctr. Ruhr U., Bochum Ruhr U., Astron. Inst. Ruhr Astroparticle and Plasma Physics Center (RAPP Center), Bochum, Germany Faculty of Mathematics and Natural Sciences, University of Wuppertal, Wuppertal, Germany Kardum, L. ORCID:0000-0001-9351-004X GRID:grid.5675.1 Dortmund U. Department of Physics, TU Dortmund University, Dortmund, Germany Kolk, L. ORCID:0000-0003-2589-5130 GRID:grid.5675.1 Dortmund U. Department of Physics, TU Dortmund University, Dortmund, Germany Korneeva, N. ORCID:0000-0003-2461-6419 GRID:grid.1002.3 ROR:https://ror.org/02bfwt286 Monash U. School of Physics and Astronomy, Monash University, Clayton, Victoria, Australia Kröninger, K. ORCID:0000-0001-9873-0228 GRID:grid.5675.1 ROR:https://ror.org/04tsk2644 ROR:https://ror.org/04tsk2644 Ruhr U., Bochum, RAPP Ctr. Ruhr U., Bochum Ruhr U., Astron. Inst. Dortmund U. Ruhr Astroparticle and Plasma Physics Center (RAPP Center), Bochum, Germany Department of Physics, TU Dortmund University, Dortmund, Germany Maire, A. ORCID:0000-0002-4831-2367 GRID:grid.462076.1 ROR:https://ror.org/01g3mb532 Strasbourg, IPHC IPHC — Institut Pluridisciplinaire Hubert Curien, CNRS-IN2P3/Université de Strasbourg, UMR 7178, Strasbourg, France Menjo, H. ORCID:0000-0001-8466-1938 GRID:grid.27476.30 ROR:https://ror.org/04chrp450 Nagoya U., ISEE Institute for Space-Earth Environmental Research (ISEE), Nagoya University, Nagoya, Japan Morejon, L. ORCID:0000-0003-1494-2624 GRID:grid.7787.f ROR:https://ror.org/00613ak93 Wuppertal U., Dept. Math. Faculty of Mathematics and Natural Sciences, University of Wuppertal, Wuppertal, Germany Ostapchenko, S. GRID:grid.9026.d ROR:https://ror.org/00g30e956 Hamburg U., Inst. Theor. Phys. II II Institute for Theoretical Physics, University of Hamburg, Hamburg, Germany Paakkinen, P. ORCID:0000-0002-4811-0669 GRID:grid.9681.6 GRID:grid.7737.4 ROR:https://ror.org/05n3dz165 ROR:https://ror.org/02n742c10 ROR:https://ror.org/05j3snm48 ROR:https://ror.org/01js2sh04 ROR:https://ror.org/00g30e956 ROR:https://ror.org/01x2x1522 Jyvaskyla U. Trieste U. INFN, Trieste DESY Hamburg U. Sincrotrone Trieste Helsinki Inst. of Phys. Department of Physics, University of Jyväskylä, Jyväskylä, Finland Helsinki Institute of Physics, University of Helsinki, Helsinki, Finland Pierog, T. ORCID:0000-0002-7472-8710 GRID:grid.7892.4 KIT, Karlsruhe, SCC Institute for Astroparticle Physics, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany Plotko, P. ORCID:0000-0001-6975-5186 GRID:grid.7683.a ROR:https://ror.org/01js2sh04 DESY, Zeuthen Deutsches Elektronen-Synchrotron (DESY), Zeuthen, Germany Prosekin, A. ORCID:0009-0003-2787-4226 GRID:grid.28665.3f ROR:https://ror.org/05bxb3784 Academia Sinica, Taiwan Institute of Physics, Academia Sinica, Taipei, Taiwan Pyras, L. ORCID:0000-0003-1146-9659 GRID:grid.7683.a GRID:grid.5330.5 GRID:grid.223827.e ROR:https://ror.org/01js2sh04 ROR:https://ror.org/00f7hpc57 DESY, Zeuthen Erlangen - Nuremberg U., ECAP Utah U., Math. Dept. Deutsches Elektronen-Synchrotron (DESY), Zeuthen, Germany Erlangen Center for Astroparticle Physics (ECAP), Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany Department of Physics and Astronomy, University of Utah, Salt Lake City, UT, USA Pöschl, T. ORCID:0000-0003-3754-7221 GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Rautenberg, J. ORCID:0009-0001-6348-8168 GRID:grid.7787.f ROR:https://ror.org/00613ak93 Wuppertal U., Dept. Math. Faculty of Mathematics and Natural Sciences, University of Wuppertal, Wuppertal, Germany Reininghaus, M. GRID:grid.7892.4 KIT, Karlsruhe, SCC Institute for Astroparticle Physics, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany Rhode, W. ORCID:0000-0003-2636-5000 GRID:grid.5675.1 ROR:https://ror.org/04tsk2644 ROR:https://ror.org/04tsk2644 ROR:https://ror.org/047dqcg40 Ruhr U., Bochum, RAPP Ctr. Ruhr U., Bochum Ruhr U., Astron. Inst. Dortmund U. Korea U. Ruhr Astroparticle and Plasma Physics Center (RAPP Center), Bochum, Germany Department of Physics, TU Dortmund University, Dortmund, Germany Lamarr Institute for Machine Learning and Artificial Intelligence, Dortmund, Germany Riehn, F. ORCID:0000-0001-8434-7500 felix.riehn@tu-dortmund.de GRID:grid.5675.1 ROR:https://ror.org/04tsk2644 ROR:https://ror.org/04tsk2644 Ruhr U., Bochum, RAPP Ctr. Ruhr U., Bochum Ruhr U., Astron. Inst. Dortmund U. Ruhr Astroparticle and Plasma Physics Center (RAPP Center), Bochum, Germany Department of Physics, TU Dortmund University, Dortmund, Germany Roth, M. ORCID:0000-0003-1281-4477 GRID:grid.7892.4 KIT, Karlsruhe, SCC Institute for Astroparticle Physics, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany Sandrock, A. ORCID:0000-0002-6779-1172 GRID:grid.7787.f ROR:https://ror.org/00613ak93 Wuppertal U., Dept. Math. Faculty of Mathematics and Natural Sciences, University of Wuppertal, Wuppertal, Germany Sarcevic, I. ORCID:0000-0003-1364-6858 GRID:grid.134563.6 ROR:https://ror.org/03m2x1q45 Arizona U. Department of Physics, University of Arizona, Tucson, AZ, USA Schmelling, M. ORCID:0000-0003-3305-0576 GRID:grid.419604.e ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, Heidelberg, Germany Sigl, G. ORCID:0000-0002-4396-645X GRID:grid.9026.d ROR:https://ror.org/00g30e956 Hamburg U., Inst. Theor. Phys. II II Institute for Theoretical Physics, University of Hamburg, Hamburg, Germany Sjöstrand, T. ORCID:0000-0002-7630-8605 GRID:grid.4514.4 ROR:https://ror.org/012a77v79 Lund U. Department of Physics, Lund University, Lund, Sweden Soldin, D. ORCID:0000-0003-3005-7879 GRID:grid.223827.e Utah U., Math. Dept. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT, USA Unger, M. ORCID:0000-0002-7651-0272 GRID:grid.7892.4 KIT, Karlsruhe, SCC Institute for Astroparticle Physics, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany Utheim, M. GRID:grid.9681.6 ROR:https://ror.org/05n3dz165 Jyvaskyla U. Department of Physics, University of Jyväskylä, Jyväskylä, Finland Vícha, J. ORCID:0000-0002-7945-3605 GRID:grid.424881.3 ROR:https://ror.org/02yhj4v17 Prague, Inst. Phys. FZU — Institute of Physics of the Czech Academy of Sciences, Prague, Czech Republic Werner, K. GRID:grid.4817.a ROR:https://ror.org/01kxesq83 SUBATECH, Nantes SUBATECH — Laboratory of Subatomic Physics and Associated Technologies, Nantes University, IMT Atlantique, CNRS/IN2P3, Nantes, France Windau, M.E. GRID:grid.5675.1 Dortmund U. Department of Physics, TU Dortmund University, Dortmund, Germany Zhukov, V. GRID:grid.1957.a ROR:https://ror.org/04xfq0f34 Aachen, Tech. Hochsch. Institute for Experimental Physics 1b, RWTH Aachen University, Aachen, Germany Nature Rev. Phys. 2025 https://lss.fnal.gov/archive/2026/pub/fermilab-pub-26-0089-ppd.pdf Fermilab Library Server 2778696 30105 http://cds.cern.ch/record/2942367/files/NA61_piC_158.png 00001 Left: $dN_\mathrm{ch}$/d$\eta$ distributions for proton–proton collisions at $\sqrt{s}=13$\,TeV and proton–oxygen collisions at 9.6\,TeV. Experimental data are from ALICE~\cite{ALICE:2015qqj}. Model predictions include \eposlhc{}-R (dashed), \qgsjet{}-III (dotted), \sibyll{}~2.3d (dash-dotted), and \pythia~8/Angantyr (solid). Right: $\pi^{+}$ production in $\pi^{-}$C collisions at 158 GeV as a function of the outgoing $\pi^{+}$ momentum. Experimental data are from NA61/SHINE \cite{NA61SHINE:2022tiz}, using a RIVET plugin listed in \autoref{tab:rivet_table}. 2778697 49723 http://cds.cern.ch/record/2942367/files/global_tuning_nature_v3.png 00005 A schematic of global tuning. The global tuning loop proceeds as follows: 1) An initial vector of parameter values $\vec{A_0}$ is used to configure the event generator. 2a) The event generator is used to simulate all collision systems fitting the required initial conditions of the \rivet plugins. 2b) The event generator either (i) runs inside the air shower simulation code \corsika{} to simulate air showers, or (ii) simulates all collision systems required to build interaction tables for \conex{} or \mceq{}, which are then used to simulate air showers. 3) The energy spectrum and mass composition of the primary cosmic rays follow a cosmic ray flux and composition model (parameters $\vec{B}$) (This may be a monocular beam following a simple power-law distribution used as reference). 4a) The \rivet plugins compute predictions comparable to their respective HEP data from the raw HEP event sample. 4b) \rivet-like translators compute predictions comparable to their respective EAS data based on the raw air shower sample. 5) A chi-square value is computed from all \rivet plugins and the translator plugins and fed back into the tuning algorithm. 6) The tuning algorithm computes a new vector of parameter values based on these inputs. Note that the \rivet-like translator still needs to be developed. 2778698 94778 http://cds.cern.ch/record/2942367/files/main_gsf_envelope_energy_rescaled.png 00004 Muon content of air showers encoded in z-values (see text) as function of shower energy E from different experiments. The event generator used to compute the predicted muon content is shown in the upper left corner of each plot. The colors indicate how much muons contribute to the estimate of the shower energy E. The dashed line indicated the expected z-value based on the GSF model~\cite{Dembinski:2017zsh}, while the gray band shows the expectation from Auger \xmax measurements. Error bars show statistical and systematic uncertainties added in quadrature. Figure taken from Ref.~\cite{ArteagaVelazquez:2023fda} 2778699 1401063 http://cds.cern.ch/record/2942367/files/2508.21796.pdf Fulltext 2778700 79306 http://cds.cern.ch/record/2942367/files/impact_study-mod2.png 00002 Effects of changing basic observables of hadronic interactions to different EAS observables for $10^{19.5}$\,eV proton showers simulated with \conex using \sibyll{}~2.1 as the baseline model. The abscissa shows the modification factors applied to the cross section (green), multiplicity (orange), elasticity (green), and $\pi^0$-fraction (red) at $\sqrt s = 13$\,TeV. Effects to the means and standard deviations of the logarithm of the muon number \nmu and the depth of the shower maximum \xmax are shown in the top and bottom row, respectively. The shaded bands highlight a $\pm 10\,\%$ and $\pm 30\,\%$ modification, respectively. The data are based on~\cite{Ulrich:2010rg} and the figure is adapted from~\cite{Albrecht:2021cxw}. 2778701 62004 http://cds.cern.ch/record/2942367/files/dN_deta_pp13_pO.png 00000 Left: $dN_\mathrm{ch}$/d$\eta$ distributions for proton–proton collisions at $\sqrt{s}=13$\,TeV and proton–oxygen collisions at 9.6\,TeV. Experimental data are from ALICE~\cite{ALICE:2015qqj}. Model predictions include \eposlhc{}-R (dashed), \qgsjet{}-III (dotted), \sibyll{}~2.3d (dash-dotted), and \pythia~8/Angantyr (solid). Right: $\pi^{+}$ production in $\pi^{-}$C collisions at 158 GeV as a function of the outgoing $\pi^{+}$ momentum. Experimental data are from NA61/SHINE \cite{NA61SHINE:2022tiz}, using a RIVET plugin listed in \autoref{tab:rivet_table}. 2778702 35263 http://cds.cern.ch/record/2942367/files/main_epos-lhc_auger_icecube-mod2.png 00003 Muon content of air showers encoded in the values of $\Delta z$ (see text) as a function of the shower energy $E$ from different experiments. Only data with minimal (red-brown) or no (black) muon contribution to the energy estimator and with muon detection thresholds of $E_\mu \leq 1$\,GeV/$c$ are shown. The $\Delta z$ values show the deviation of the measured muon content from the expectation based on the data-driven GSF model~\cite{Dembinski:2017zsh} and the event generator \eposlhc. The gray band shows the expected value when the mass is inferred from Auger \xmax measurements instead of the GSF model. The error bars show the statistical and systematic uncertainties, added in quadrature. Figure adapted from Ref.~\cite{ArteagaVelazquez:2023fda}. 2778703 15949 http://cds.cern.ch/record/2942367/files/classic_tuning_nature.png 00002 A schematic of classic tuning. The classic tuning loop proceeds as follows: 1) A new vector of parameter values $\vec{A_0}$ is used to configure the event generator. 2) The event generator is used to simulate all collision systems fitting the required initial conditions of the \rivet plugins. 3) The \rivet plugins compute predictions comparable to their respective HEP data from the raw event sample. 4) A chi-square value is computed from all \rivet plugins and fed back into the tuning algorithm. 5) The tuning algorithm computes a new vector of parameter values based on this input. 2782446 42458 http://cds.cern.ch/record/2942367/files/global_tuning_nature.png 00003 A schematic of global tuning. The global tuning loop proceeds as follows: 1) An initial vector of parameter values $\vec{A_0}$ is used to configure the event generator. 2a) The event generator is used to simulate all collision systems fitting the required initial conditions of the \rivet plugins. 2b) The event generator runs inside the air shower simulation code \corsika{} to simulate air showers, or simulates all collision systems required to build interaction tables for \conex{} or \mceq{}, which are then used to simulate air showers. 3) The energy spectrum and mass composition of the primary cosmic rays follow a cosmic ray flux model. 4a) The \rivet plugins compute predictions comparable to their respective HEP data from the raw HEP event sample. 4b) \rivet-like translators compute predictions comparable to their respective EAS data based on the raw air shower sample. 5) A chi-square value is computed from all \rivet plugins and the translator plugins and fed back into the tuning algorithm. 6) The tuning algorithm computes a new vector of parameter values based on these inputs. Note that the \rivet-like translator still needs to be developed. 2782447 26042 http://cds.cern.ch/record/2942367/files/main_epos-lhc_auger_icecube.png 00001 Muon content of air showers encoded in $\Delta z$-values (see text) as a function of the shower energy $E$ from different experiments. Only experiments with little (red-brown) or no (black) muon contribution to the energy estimator are shown. The $\Delta z$ value shows the deviation of the muon content from the expectation based on the data driven GSF model~\cite{Dembinski:2017zsh} and the event generator \eposlhc. The gray band indicates the expectation when the mass is inferred from Auger \xmax measurements instead of GSF. Error bars show statistical and systematic uncertainties added in quadrature. Figure adapted from Ref.~\cite{ArteagaVelazquez:2023fda} 2782448 67725 http://cds.cern.ch/record/2942367/files/impact_study.png 00000 Effect of changing basic parameters of hadronic interactions on the means and standard deviations of the logarithm of the muon number \nmu (top row) and the depth \xmax of the shower maximum (bottom row) for a $10^{19.5}$\,eV proton shower simulated with \conex using \sibyll{}2.1 as the baseline model. The left and right columns show relative shifts from the mean and fluctuations, respectively. The data, originally based on\cite{Ulrich:2010rg}, are shown as a function of the modification in the nucleon-nucleon system at a CM-energy $\sqrtsnn = 13$\,TeV, which is extrapolated logarithmically towards higher energies. The shaded bands highlight a $\pm 10\,\%$ and $\pm 30\,\%$ modification, respectively (Plot taken from \cite{Albrecht:2021cxw}). 2821396 1161985 http://cds.cern.ch/record/2942367/files/9100d47ff728e19e5331905669b7cffc.pdf Fulltext 13 ARTICLE 2942365 20260318004033.0 DOI IOP 10.1088/1475-7516/2026/03/035 oai:cds.cern.ch:2942365 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2508.20229 Inspire oai:inspirehep.net:2964676 2026-03-16T13:38:29Z 2026-03-17T03:02:46Z marcxml true https://inspirehep.net/api/oai2d Inspire 2964676 arXiv arXiv:2508.20229 astro-ph.HE eng Abdollahi, S. ORCID:0000-0002-6803-3605 IRAP, Toulouse IRAP, Université de Toulouse, CNRS, UPS, CNES, F-31028 Toulouse, France IOP Combined dark matter search towards dwarf spheroidal galaxies with Fermi-LAT, HAWC, H.E.S.S., MAGIC, and VERITAS 2026-03-11 2025-08-27 39 p IOP Dwarf spheroidal galaxies (dSphs) are excellent targets for indirect dark matter (DM) searches using gamma-ray telescopes because they are thought to have high DM content and a low astrophysical background. The sensitivity of these searches is improved by combining the observations of dSphs made by different gamma-ray telescopes. We present the results of a combined search by the most sensitive currently operating gamma-ray telescopes, namely: the satellite-borne Fermi-LAT telescope; the ground-based imaging atmospheric Cherenkov telescope arrays H.E.S.S., MAGIC, and VERITAS; and the HAWC water Cherenkov detector. Individual datasets were analyzed using a common statistical approach. Results were subsequently combined via a global joint likelihood analysis. We obtain constraints on the velocity-weighted cross section 〈σv〉 for DM self-annihilation as a function of the DM particle mass. This five-instrument combination allows the derivation of up to 2-3 times more constraining upper limits on 〈σv〉 than the individual results over a wide mass range spanning from 5 GeV to 100 TeV. Depending on the DM content modeling, the 95% confidence level observed limits reach 1.5×10$^{-24}$ cm$^{3}$s$^{-1}$ and 3.2×10$^{-25}$ cm$^{3}$s$^{-1}$, respectively, in the τ$^{+}$τ$^{-}$ annihilation channel for a DM mass of 2 TeV. arXiv Dwarf spheroidal galaxies (dSphs) are excellent targets for indirect dark matter (DM) searches using gamma-ray telescopes because they are thought to have high DM content and a low astrophysical background. The sensitivity of these searches is improved by combining the observations of dSphs made by different gamma-ray telescopes. We present the results of a combined search by the most sensitive currently operating gamma-ray telescopes, namely: the satellite-borne Fermi-LAT telescope; the ground-based imaging atmospheric Cherenkov telescope arrays H.E.S.S., MAGIC, and VERITAS; and the HAWC water Cherenkov detector. Individual datasets were analyzed using a common statistical approach. Results were subsequently combined via a global joint likelihood analysis. We obtain constraints on the velocity-weighted cross section $\langle σ\mathit{v} \rangle$ for DM self-annihilation as a function of the DM particle mass. This five-instrument combination allows the derivation of up to 2-3 times more constraining upper limits on $\langle σ\mathit{v} \rangle$ than the individual results over a wide mass range spanning from 5 GeV to 100 TeV. Depending on the DM content modeling, the 95% confidence level observed limits reach $1.5\times$10$^{-24}$ cm$^3$s$^{-1}$ and $3.2\times$10$^{-25}$ cm$^3$s$^{-1}$, respectively, in the $τ^+τ^-$ annihilation channel for a DM mass of 2 TeV. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication CC-BY-4.0 IOP http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2026 arXiv astro-ph.CO SzGeCERN Astrophysics and Astronomy arXiv astro-ph.HE SzGeCERN Astrophysics and Astronomy CERN ARTICLE HAWC HESS MAGIC VERITAS FERMI LAT Baldini, L. ORCID:0000-0002-9785-7726 ROR:https://ror.org/05symbg58 INFN, Pisa Università di Pisa and Istituto Nazionale di Fisica Nucleare, Sezione di Pisa I-56127 Pisa, Italy Bellazzini, R. ORCID:0000-0002-2469-7063 ROR:https://ror.org/05symbg58 INFN, Pisa Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, I-56127 Pisa, Italy Berenji, B. ROR:https://ror.org/0294hxs80 Cal State, L.A. California State University, Los Angeles, Department of Physics and Astronomy, Los Angeles, CA 90032, U.S.A. Bissaldi, E. ORCID:0000-0001-9935-8106 ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari Polytechnic INFN, Bari Dipartimento di Fisica “M. Merlin” dell'Università e del Politecnico di Bari, via Amendola 173, I-70126 Bari, Italy Istituto Nazionale di Fisica Nucleare, Sezione di Bari, I-70126 Bari, Italy Bonino, R. ORCID:0000-0002-4264-1215 ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. Istituto Nazionale di Fisica Nucleare, Sezione di Torino, I-10125 Torino, Italy Dipartimento di Fisica, Università degli Studi di Torino, I-10125 Torino, Italy Bruel, P. ORCID:0000-0002-9032-7941 ROR:https://ror.org/058t6p923 Ecole Polytechnique Laboratoire Leprince-Ringuet, CNRS/IN2P3, École polytechnique, Institut Polytechnique de Paris, 91120 Palaiseau, France Buson, S. ORCID:0000-0002-3308-324X ROR:https://ror.org/00fbnyb24 Wurzburg U. Institut für Theoretische Physik and Astrophysik, Universität Würzburg, D-97074 Würzburg, Germany Charles, E. echarles@slac.stanford.edu ROR:https://ror.org/00f54p054 Stanford U., HEPL KIPAC, Menlo Park Stanford U., Phys. Dept. W. W. Hansen Experimental Physics Laboratory, Kavli Institute for Particle Astrophysics and Cosmology, Department of Physics and SLAC National Accelerator Laboratory, Stanford University, Stanford, CA 94305, U.S.A. Chen, A.W. ROR:https://ror.org/03rp50x72 U. Witwatersrand, Johannesburg, Sch. Phys. School of Physics, University of the Witwatersrand, Private Bag 3, WITS-2050, Johannesburg, South Africa Ciprini, S. ORCID:0000-0002-0712-2479 ROR:https://ror.org/025rrx658 ROR:https://ror.org/034zgem50 INFN, Rome2 ASI, Rome Istituto Nazionale di Fisica Nucleare, Sezione di Roma “Tor Vergata”, I-00133 Roma, Italy Space Science Data Center — Agenzia Spaziale Italiana, Via del Politecnico, snc, I-00133, Roma, Italy Crnogorcevic, M. ROR:https://ror.org/047s2c258 ROR:https://ror.org/0171mag52 Maryland U., College Park NASA, Goddard Department of Astronomy, University of Maryland, College Park, MD 20742, U.S.A. NASA Goddard Space Flight Center, Greenbelt, MD 20771, U.S.A. Cuoco, A. ORCID:0000-0003-1504-894X ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. Istituto Nazionale di Fisica Nucleare, Sezione di Torino, I-10125 Torino, Italy Dipartimento di Fisica, Università degli Studi di Torino, I-10125 Torino, Italy D'Ammando, F. ORCID:0000-0001-7618-7527 Bologna, Ist. Radioastronomia INAF Istituto di Radioastronomia, I-40129 Bologna, Italy de Angelis, A. ROR:https://ror.org/04m8t3f14 INFN, Udine Udine U. Dipartimento di Fisica,Università di Udine and Istituto Nazionale di Fisica Nucleare,Sezione di Trieste,Gruppo Collegato di Udine,I-33100 Udine Di Mauro, M. dimauro.mattia@gmail.com ROR:https://ror.org/01vj6ck58 INFN, Turin Istituto Nazionale di Fisica Nucleare, Sezione di Torino, I-10125 Torino, Italy Di Lalla, N. ORCID:0000-0002-7574-1298 ROR:https://ror.org/00f54p054 Stanford U., HEPL KIPAC, Menlo Park Stanford U., Phys. Dept. W. W. Hansen Experimental Physics Laboratory, Kavli Institute for Particle Astrophysics and Cosmology, Department of Physics and SLAC National Accelerator Laboratory, Stanford University, Stanford, CA 94305, U.S.A. Di Venere, L. ROR:https://ror.org/022hq6c49 INFN, Bari Istituto Nazionale di Fisica Nucleare,Sezione di Bari,I-70126 Bari,Italy Domínguez, A. ORCID:0000-0002-3433-4610 ROR:https://ror.org/02p0gd045 Madrid U. Grupo de Altas Energías, Universidad Complutense de Madrid, E-28040 Madrid, Spain Fegan, S.J. ORCID:0000-0002-9978-2510 ROR:https://ror.org/058t6p923 Ecole Polytechnique Laboratoire Leprince-Ringuet, CNRS/IN2P3, École polytechnique, Institut Polytechnique de Paris, 91120 Palaiseau, France Fiori, A. ORCID:0000-0003-3174-0688 ROR:https://ror.org/05symbg58 INFN, Pisa Università di Pisa and Istituto Nazionale di Fisica Nucleare, Sezione di Pisa I-56127 Pisa, Italy Fusco, P. ORCID:0000-0002-9383-2425 ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari Polytechnic INFN, Bari Dipartimento di Fisica “M. Merlin” dell'Università e del Politecnico di Bari, via Amendola 173, I-70126 Bari, Italy Istituto Nazionale di Fisica Nucleare, Sezione di Bari, I-70126 Bari, Italy Gammaldi, V. ORCID:0000-0003-1826-6117 ROR:https://ror.org/01cby8j38 ROR:https://ror.org/01cby8j38 Madrid, Autonoma U. Madrid, IFT Departamento de Física Teórica, Universidad Autónoma de Madrid, 28049 Madrid, Spain Instituto de Física Teórica UAM/CSIC, Universidad Autónoma de Madrid, E-28049 Madrid, Spain Gargano, F. ORCID:0000-0002-5055-6395 ROR:https://ror.org/022hq6c49 INFN, Bari Istituto Nazionale di Fisica Nucleare, Sezione di Bari, I-70126 Bari, Italy Gasparrini, D. ORCID:0000-0002-5064-9495 ROR:https://ror.org/025rrx658 ROR:https://ror.org/034zgem50 INFN, Rome2 ASI, Rome Istituto Nazionale di Fisica Nucleare, Sezione di Roma “Tor Vergata”, I-00133 Roma, Italy Space Science Data Center — Agenzia Spaziale Italiana, Via del Politecnico, snc, I-00133, Roma, Italy Giacchino, F. ORCID:0000-0002-0247-6884 ROR:https://ror.org/025rrx658 ROR:https://ror.org/034zgem50 INFN, Rome2 ASI, Rome Department of Fundamental Physics, University of Salamanca, Plaza de la Merced s/n, E-37008 Salamanca, Spain Istituto Nazionale di Fisica Nucleare, Sezione di Roma “Tor Vergata”, I-00133 Roma, Italy Giglietto, N. ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari Polytechnic INFN, Bari Dipartimento di Fisica "M. Merlin" dell’Università e del Politecnico di Bari,via Amendola 173,I-70126 Bari,Italy Istituto Nazionale di Fisica Nucleare,Sezione di Bari,I-70126 Bari,Italy Giliberti, M. ORCID:0009-0007-2835-2963 ROR:https://ror.org/022hq6c49 ROR:https://ror.org/03c44v465 INFN, Bari Bari Polytechnic Istituto Nazionale di Fisica Nucleare, Sezione di Bari, I-70126 Bari, Italy Dipartimento di Fisica “M. Merlin” dell'Università e del Politecnico di Bari, via Amendola 173, I-70126 Bari, Italy Giordano, F. ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari Polytechnic INFN, Bari Dipartimento di Fisica "M. Merlin" dell’Università e del Politecnico di Bari,via Amendola 173,I-70126 Bari,Italy Istituto Nazionale di Fisica Nucleare,Sezione di Bari,I-70126 Bari,Italy Giroletti, M. ORCID:0000-0002-8657-8852 Bologna, Ist. Radioastronomia INAF Istituto di Radioastronomia, I-40129 Bologna, Italy Grenier, I.A. ORCID:0000-0003-3274-674X AIM, Saclay Université Paris Cité, Université Paris-Saclay, CEA, CNRS, AIM, F-91191 Gif-sur-Yvette, France Guiriec, S. ORCID:0000-0001-5780-8770 ROR:https://ror.org/00y4zzh67 ROR:https://ror.org/0171mag52 George Washington U. NASA, Goddard The George Washington University, Department of Physics, 725 21st St, NW, Washington, DC 20052, U.S.A. NASA Goddard Space Flight Center, Greenbelt, MD 20771, U.S.A. Gustafsson, M. Gottingen U., Zweites Phys. Inst. Georg-August University Göttingen, Institute for theoretical Physics — Faculty of Physics, Friedrich-Hund-Platz 1, D-37077 Göttingen, Germany Hays, E. ORCID:0000-0002-8172-593X ROR:https://ror.org/0171mag52 NASA, Goddard NASA Goddard Space Flight Center, Greenbelt, MD 20771, U.S.A. Hewitt, J.W. ORCID:0000-0002-4064-6346 ROR:https://ror.org/01j903a45 North Florida U. University of North Florida, Department of Physics, 1 UNF Drive, Jacksonville, FL 32224, U.S.A. Horan, D. ORCID:0000-0001-5574-2579 ROR:https://ror.org/058t6p923 Ecole Polytechnique Laboratoire Leprince-Ringuet, CNRS/IN2P3, École polytechnique, Institut Polytechnique de Paris, 91120 Palaiseau, France Katagiri, H. ROR:https://ror.org/00sjd5653 Ibaraki U., Mito College of Science, Ibaraki University, 2-1-1, Bunkyo, Mito 310-8512, Japan Kuss, M. ORCID:0000-0003-1212-9998 ROR:https://ror.org/05symbg58 INFN, Pisa Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, I-56127 Pisa, Italy Li, J. ORCID:0000-0003-1720-9727 ROR:https://ror.org/04c4dkn09 ROR:https://ror.org/04c4dkn09 Hefei, CUST USTC, Hefei CAS Key Laboratory for Research in Galaxies and Cosmology, Department of Astronomy, University of Science and Technology of China, Hefei 230026, People's Republic of China School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, People's Republic of China Longo, F. ROR:https://ror.org/02n742c10 ROR:https://ror.org/05j3snm48 Trieste U. INFN, Trieste Dipartimento di Fisica,Università di Trieste,I-34127 Trieste,Italy Istituto Nazionale di Fisica Nucleare,Sezione di Trieste,I-34127 Trieste,Italy Loparco, F. ORCID:0000-0002-1173-5673 ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari Polytechnic INFN, Bari Dipartimento di Fisica “M. Merlin” dell'Università e del Politecnico di Bari, via Amendola 173, I-70126 Bari, Italy Istituto Nazionale di Fisica Nucleare, Sezione di Bari, I-70126 Bari, Italy Lorusso, L. ORCID:0000-0002-2549-4401 ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari Polytechnic INFN, Bari Dipartimento di Fisica “M. Merlin” dell'Università e del Politecnico di Bari, via Amendola 173, I-70126 Bari, Italy Istituto Nazionale di Fisica Nucleare, Sezione di Bari, I-70126 Bari, Italy Martí-Devesa, G. ORCID:0000-0003-0766-6473 ROR:https://ror.org/054pv6659 Innsbruck U. Institut für Astro- und Teilchenphysik, Leopold-Franzens-Universität Innsbruck, A-6020 Innsbruck, Austria Mazziotta, M.N. ORCID:0000-0001-9325-4672 ROR:https://ror.org/022hq6c49 INFN, Bari Istituto Nazionale di Fisica Nucleare, Sezione di Bari, I-70126 Bari, Italy McEnery, J.E. ROR:https://ror.org/0171mag52 ROR:https://ror.org/047s2c258 NASA, Goddard Maryland U., College Park NASA Goddard Space Flight Center, Greenbelt, MD 20771, U.S.A. Department of Astronomy, University of Maryland, College Park, MD 20742, U.S.A. Mereu, I. ORCID:0000-0003-0219-4534 ROR:https://ror.org/05478fx36 ROR:https://ror.org/00x27da85 INFN, Perugia Perugia U. Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, I-06123 Perugia, Italy Dipartimento di Fisica, Università degli Studi di Perugia, I-06123 Perugia, Italy Meyer, M. ROR:https://ror.org/03yrrjy16 Southern Denmark U., CP3-Origins Center for Cosmology and Particle Physics Phenomenology,University of Southern Denmark,Campusvej 55,DK-5230 Odense M,Denmark Michelson, P.F. ORCID:0000-0002-1321-5620 ROR:https://ror.org/00f54p054 Stanford U., HEPL KIPAC, Menlo Park Stanford U., Phys. Dept. W. W. Hansen Experimental Physics Laboratory, Kavli Institute for Particle Astrophysics and Cosmology, Department of Physics and SLAC National Accelerator Laboratory, Stanford University, Stanford, CA 94305, U.S.A. Mirabal, N. ORCID:0000-0002-7021-5838 ROR:https://ror.org/0171mag52 ROR:https://ror.org/02qskvh78 NASA, Goddard Maryland U., Baltimore County NASA Goddard Space Flight Center, Greenbelt, MD 20771, U.S.A. Department of Physics and Center for Space Sciences and Technology, University of Maryland Baltimore County, Baltimore, MD 21250, U.S.A. Mitthumsiri, W. ROR:https://ror.org/01znkr924 Mahidol U. Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand Mizuno, T. ORCID:0000-0001-7263-0296 Hiroshima U., HASC Hiroshima Astrophysical Science Center, Hiroshima University, Higashi-Hiroshima, Hiroshima 739-8526, Japan Morselli, A. ORCID:0000-0002-7704-9553 ROR:https://ror.org/025rrx658 INFN, Rome2 Istituto Nazionale di Fisica Nucleare, Sezione di Roma “Tor Vergata”, I-00133 Roma, Italy Moskalenko, I.V. ORCID:0000-0001-6141-458X ROR:https://ror.org/00f54p054 Stanford U., HEPL KIPAC, Menlo Park Stanford U., Phys. Dept. W. W. Hansen Experimental Physics Laboratory, Kavli Institute for Particle Astrophysics and Cosmology, Department of Physics and SLAC National Accelerator Laboratory, Stanford University, Stanford, CA 94305, U.S.A. Negro, M. ORCID:0000-0002-6548-5622 ROR:https://ror.org/02qskvh78 ROR:https://ror.org/0171mag52 Maryland U., Baltimore County NASA, Goddard Department of Physics and Center for Space Sciences and Technology, University of Maryland Baltimore County, Baltimore, MD 21250, U.S.A. NASA Goddard Space Flight Center, Greenbelt, MD 20771, U.S.A. Omodei, N. ROR:https://ror.org/00f54p054 Stanford U., HEPL KIPAC, Menlo Park Stanford U., Phys. Dept. W. W. Hansen Experimental Physics Laboratory,Kavli Institute for Particle Astrophysics and Cosmology,Department of Physics and SLAC National Accelerator Laboratory,Stanford University,Stanford,CA 94305,USA Orienti, M. ORCID:0000-0003-4470-7094 Bologna, Ist. Radioastronomia INAF Istituto di Radioastronomia, I-40129 Bologna, Italy Orlando, E. ROR:https://ror.org/05j3snm48 ROR:https://ror.org/00f54p054 INFN, Trieste Stanford U., HEPL KIPAC, Menlo Park Stanford U., Phys. Dept. Istituto Nazionale di Fisica Nucleare, Sezione di Trieste, and Università di Trieste, I-34127 Trieste, Italy W. W. Hansen Experimental Physics Laboratory, Kavli Institute for Particle Astrophysics and Cosmology, Department of Physics and SLAC National Accelerator Laboratory, Stanford University, Stanford, CA 94305, U.S.A. Panzarini, G. ORCID:0000-0002-2586-1021 ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari Polytechnic INFN, Bari Dipartimento di Fisica “M. Merlin” dell'Università e del Politecnico di Bari, via Amendola 173, I-70126 Bari, Italy Istituto Nazionale di Fisica Nucleare, Sezione di Bari, I-70126 Bari, Italy Persic, M. ROR:https://ror.org/05j3snm48 ROR:https://ror.org/04z3y3f62 INFN, Trieste Padua Observ. Istituto Nazionale di Fisica Nucleare,Sezione di Trieste,I-34127 Trieste,Italy INAF-Astronomical Observatory of Padova,Vicolo dell’Osservatorio 5,I-35122 Padova,Italy Pesce-Rollins, M. ORCID:0000-0003-1790-8018 ROR:https://ror.org/05symbg58 INFN, Pisa Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, I-56127 Pisa, Italy Pillera, R. ORCID:0000-0003-3808-963X ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari Polytechnic INFN, Bari Dipartimento di Fisica “M. Merlin” dell'Università e del Politecnico di Bari, via Amendola 173, I-70126 Bari, Italy Istituto Nazionale di Fisica Nucleare, Sezione di Bari, I-70126 Bari, Italy Porter, T.A. ORCID:0000-0002-2621-4440 ROR:https://ror.org/00f54p054 Stanford U., HEPL KIPAC, Menlo Park Stanford U., Phys. Dept. W. W. Hansen Experimental Physics Laboratory, Kavli Institute for Particle Astrophysics and Cosmology, Department of Physics and SLAC National Accelerator Laboratory, Stanford University, Stanford, CA 94305, U.S.A. Principe, G. ROR:https://ror.org/02n742c10 ROR:https://ror.org/05j3snm48 Trieste U. INFN, Trieste Bologna, Ist. Radioastronomia Dipartimento di Fisica,Università di Trieste,I-34127 Trieste,Italy Istituto Nazionale di Fisica Nucleare,Sezione di Trieste,I-34127 Trieste,Italy INAF Istituto di Radioastronomia,I-40129 Bologna,Italy Rainò, S. ORCID:0000-0002-9181-0345 ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari Polytechnic INFN, Bari Dipartimento di Fisica “M. Merlin” dell'Università e del Politecnico di Bari, via Amendola 173, I-70126 Bari, Italy Istituto Nazionale di Fisica Nucleare, Sezione di Bari, I-70126 Bari, Italy Rando, R. ORCID:0000-0001-6992-818X ROR:https://ror.org/00240q980 ROR:https://ror.org/00z34yn88 Padua U. INFN, Padua Padua U., Dept. Pure Appl. Math. Dipartimento di Fisica e Astronomia “G. Galilei”, Università di Padova, Via F. Marzolo, 8, I-35131 Padova, Italy Istituto Nazionale di Fisica Nucleare, Sezione di Padova, I-35131 Padova, Italy Center for Space Studies and Activities “G. Colombo”, University of Padova, Via Venezia 15, I-35131 Padova, Italy Razzano, M. ORCID:0000-0003-4825-1629 ROR:https://ror.org/05symbg58 INFN, Pisa Università di Pisa and Istituto Nazionale di Fisica Nucleare, Sezione di Pisa I-56127 Pisa, Italy Reimer, O. ROR:https://ror.org/054pv6659 Innsbruck U. Institut für Astro- und Teilchenphysik,Leopold-Franzens-Universität Innsbruck,A6020 Innsbruck,Austria Sánchez-Conde, M. ORCID:0000-0002-3849-9164 ROR:https://ror.org/01cby8j38 ROR:https://ror.org/01cby8j38 Madrid, IFT Madrid, Autonoma U. Instituto de Física Teórica UAM/CSIC, Universidad Autónoma de Madrid, E-28049 Madrid, Spain Departamento de Física Teórica, Universidad Autónoma de Madrid, 28049 Madrid, Spain Saz Parkinson, P.M. ORCID:0000-0001-6566-1246 ROR:https://ror.org/03s65by71 UC, Santa Cruz, Inst. Part. Phys. Santa Cruz Institute for Particle Physics, Department of Physics and Department of Astronomy and Astrophysics, University of California at Santa Cruz, Santa Cruz, CA 95064, U.S.A. Serini, D. ORCID:0000-0002-9754-6530 ROR:https://ror.org/022hq6c49 INFN, Bari Istituto Nazionale di Fisica Nucleare, Sezione di Bari, I-70126 Bari, Italy Suson, D.J. ORCID:0000-0003-2911-2025 Purdue U., Calumet Purdue University Northwest, Hammond, IN 46323, U.S.A. Torres, D.F. ORCID:0000-0002-1522-9065 ICE, Barcelona ICREA, Barcelona Institute of Space Sciences (ICE, CSIC), Campus UAB, Carrer de Magrans s/n, E-08193 Barcelona, Spain, and Institut d'Estudis Espacials de Catalunya (IEEC), E-08034 Barcelona, Spain Institució Catalana de Recerca i Estudis Avançats (ICREA), E-08010 Barcelona, Spain Zaharijas, G. ORCID:0000-0001-8484-7791 ROR:https://ror.org/00mw0tw28 Nova Gorica U. Center for Astrophysics and Cosmology, University of Nova Gorica, Nova Gorica, Slovenia Albert, A. ORCID:0000-0003-0197-5646 ROR:https://ror.org/01e41cf67 Los Alamos Los Alamos National Laboratory, Los Alamos, NM, U.S.A. Alfaro, R. ROR:https://ror.org/01tmp8f25 Mexico U. Instituto de Física, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico Alvarez, C. ROR:https://ror.org/04eexme77 Chiapas Autonoma U. Universidad Autónoma de Chiapas, Tuxtla Gutiérrez, Chiapas, México Arteaga-Velázquez, J.C. ROR:https://ror.org/00z0kq074 IFM-UMSNH, Michoacan Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Mexico Avila Rojas, D. ORCID:0000-0002-4020-4142 ROR:https://ror.org/01tmp8f25 Mexico U. Instituto de Física, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico Ayala Solares, H.A. ORCID:0000-0002-2084-5049 ROR:https://ror.org/04p491231 Penn State U. Department of Physics, Pennsylvania State University, University Park, PA, U.S.A. Babu, R. ORCID:0000-0002-5529-6780 ROR:https://ror.org/05hs6h993 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, U.S.A. Belmont-Moreno, E. ORCID:0000-0003-3207-105X ROR:https://ror.org/01tmp8f25 Mexico U. Instituto de Física, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico Caballero-Mora, K.S. ORCID:0000-0002-4042-3855 ROR:https://ror.org/04eexme77 Chiapas Autonoma U. Universidad Autónoma de Chiapas, Tuxtla Gutiérrez, Chiapas, México Capistrán, T. ORCID:0000-0003-2158-2292 ROR:https://ror.org/01tmp8f25 Mexico U. Instituto de Astronomía, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico Carramiñana, A. ORCID:0000-0002-8553-3302 ROR:https://ror.org/00bpmmc63 INAOE, Puebla Instituto Nacional de Astrofísica, Óptica y Electrónica, Puebla, Mexico Casanova, S. ROR:https://ror.org/01n78t774 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences,PL-31342 IFJ-PAN,Krakow,Poland Chaparro-Amaro, O. ROR:https://ror.org/059sp8j34 CIC, IPN Centro de Investigación en Computación, Instituto Politécnico Nacional, México City, México Cotti, U. ORCID:0000-0002-7607-9582 ROR:https://ror.org/00z0kq074 IFM-UMSNH, Michoacan Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Mexico Cotzomi, J. ORCID:0000-0002-1132-871X ROR:https://ror.org/03p2z7827 Puebla U., Mexico Facultad de Ciencias Físico Matemáticas, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico Coutiño de León, S. ORCID:0000-0002-7747-754X ROR:https://ror.org/01y2jtd41 Wisconsin U., Madison Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Mexico Department of Physics, University of Wisconsin-Madison, Madison, WI, U.S.A. de la Fuente, E. ORCID:0000-0001-9643-4134 ROR:https://ror.org/043xj7k26 Guadalajara U. Departamento de Física, Centro Universitario de Ciencias Exactase Ingenierias, Universidad de Guadalajara, Guadalajara, Mexico de León, C. ROR:https://ror.org/00z0kq074 IFM-UMSNH, Michoacan Universidad Michoacana de San Nicolás de Hidalgo,Morelia,Mexico Diaz Hernandez, R. ROR:https://ror.org/00bpmmc63 INAOE, Puebla Instituto Nacional de Astrofísica, Óptica y Electrónica, Puebla, Mexico Dingus, B.L. ORCID:0000-0001-8451-7450 ROR:https://ror.org/01e41cf67 Los Alamos Los Alamos National Laboratory, Los Alamos, NM, U.S.A. DuVernois, M.A. ORCID:0000-0002-2987-9691 ROR:https://ror.org/01y2jtd41 Wisconsin U., Madison Department of Physics, University of Wisconsin-Madison, Madison, WI, U.S.A. Durocher, M. ORCID:0000-0003-2169-0306 ROR:https://ror.org/01e41cf67 Los Alamos Los Alamos National Laboratory, Los Alamos, NM, U.S.A. Díaz-Vélez, J.C. ORCID:0000-0002-0087-0693 ROR:https://ror.org/043xj7k26 Guadalajara U. Departamento de Física, Centro Universitario de Ciencias Exactase Ingenierias, Universidad de Guadalajara, Guadalajara, Mexico Engel, K. ORCID:0000-0001-5737-1820 ROR:https://ror.org/047s2c258 Maryland U. Department of Physics, University of Maryland, College Park, MD, U.S.A. Espinoza, C. ORCID:0000-0001-7074-1726 ROR:https://ror.org/01tmp8f25 Mexico U. Instituto de Física, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico Fan, K.L. ORCID:0000-0002-8246-4751 ROR:https://ror.org/047s2c258 Maryland U. Department of Physics, University of Maryland, College Park, MD, U.S.A. Fraija, N. ORCID:0000-0002-0173-6453 ROR:https://ror.org/01tmp8f25 Mexico U. Instituto de Astronomía, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico García-González, J.A. ORCID:0000-0002-4188-5584 ITESM, Monterrey Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501, Monterrey, N.L., Mexico, 64849 Garfias, F. ORCID:0000-0003-1122-4168 ROR:https://ror.org/01tmp8f25 Mexico U. Instituto de Astronomía, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico González, M.M. ORCID:0000-0002-5209-5641 ROR:https://ror.org/01tmp8f25 Mexico U. Instituto de Astronomía, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico Goodman, J.A. ORCID:0000-0002-9790-1299 ROR:https://ror.org/047s2c258 Maryland U. Department of Physics, University of Maryland, College Park, MD, U.S.A. Harding, J.P. ORCID:0000-0001-9844-2648 ROR:https://ror.org/01e41cf67 Los Alamos Los Alamos National Laboratory, Los Alamos, NM, U.S.A. Hernandez, S. ORCID:0000-0002-2565-8365 ROR:https://ror.org/01tmp8f25 Mexico U. Instituto de Física, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico Herzog, I. ORCID:0000-0001-5169-723X ROR:https://ror.org/05hs6h993 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, U.S.A. Hinton, J. ORCID:0000-0002-1031-7760 ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck Institute for Nuclear Physics, 69117 Heidelberg, Germany Huang, D. ORCID:0000-0002-5447-1786 ROR:https://ror.org/047s2c258 Maryland U. Department of Physics, University of Maryland, College Park, MD, U.S.A. Hueyotl-Zahuantitla, F. ORCID:0000-0002-5527-7141 ROR:https://ror.org/04eexme77 Chiapas Autonoma U. Universidad Autónoma de Chiapas, Tuxtla Gutiérrez, Chiapas, México Hüntemeyer, P. ORCID:0000-0002-3302-7897 ROR:https://ror.org/0036rpn28 Michigan Tech. U. Department of Physics, Michigan Technological University, Houghton, MI, U.S.A. Iriarte, A. ORCID:0000-0001-5811-5167 ROR:https://ror.org/01tmp8f25 Mexico U. Instituto de Astronomía, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico Joshi, V. ROR:https://ror.org/00f7hpc57 Erlangen - Nuremberg U., ECAP Erlangen Centre for Astroparticle Physics,Friedrich-Alexander-Universität ErlangenNürnberg,Erlangen,Germany Kaufmann, S. ROR:https://ror.org/031f8kt38 UAEH, Pachuca Universidad Politecnica de Pachuca, Pachuca, Hgo, Mexico Kieda, D. ROR:https://ror.org/03r0ha626 Utah U. Department of Physics and Astronomy,University of Utah,Salt Lake City,UT,USA Kunde, G.J. ROR:https://ror.org/01e41cf67 Los Alamos Los Alamos National Laboratory, Los Alamos, NM, U.S.A. Lara, A. ORCID:0000-0001-6336-5291 ROR:https://ror.org/01tmp8f25 Mexico U. Instituto de Geofísica, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico Lee, J. ORCID:0000-0002-2153-1519 ROR:https://ror.org/01wjejq96 IPAP, Seoul Yonsei U. University of Seoul, Seoul, Rep. of Korea León Vargas, H. ORCID:0000-0001-5516-4975 ROR:https://ror.org/01tmp8f25 Mexico U. Instituto de Física, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico Linnemann, J.T. ORCID:0000-0003-2696-947X ROR:https://ror.org/05hs6h993 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, U.S.A. Longinotti, A.L. ORCID:0000-0001-8825-3624 ROR:https://ror.org/01tmp8f25 Mexico U. Instituto de Astronomía, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico Luis-Raya, G. ORCID:0000-0003-2810-4867 ROR:https://ror.org/031f8kt38 UAEH, Pachuca Universidad Politecnica de Pachuca, Pachuca, Hgo, Mexico Lundeen, J. ORCID:0000-0003-3751-5617 ROR:https://ror.org/05hs6h993 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, U.S.A. Malone, K. ORCID:0000-0001-8088-400X ROR:https://ror.org/01e41cf67 Los Alamos Los Alamos National Laboratory, Los Alamos, NM, U.S.A. Martinez, O. ORCID:0000-0001-9052-856X ROR:https://ror.org/03p2z7827 Puebla U., Mexico Facultad de Ciencias Físico Matemáticas, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico Martínez-Castro, J. ORCID:0000-0002-2824-3544 ROR:https://ror.org/059sp8j34 CIC, IPN Centro de Investigación en Computación, Instituto Politécnico Nacional, México City, México Martínez-Huerta, H. ORCID:0000-0001-7714-0704 Autonoma de Nuevo Leon U. Departamento de Física y Matemáticas, Universidad de Monterrey, Av. Morones Prieto 4500, San Pedro Garza García 66238, Nuevo León, Mexico Matthews, J.A. ORCID:0000-0002-2610-863X ROR:https://ror.org/05fs6jp91 New Mexico U. Dept of Physics and Astronomy, University of New Mexico, Albuquerque, NM, U.S.A. Miranda-Romagnoli, P. ORCID:0000-0002-8390-9011 ROR:https://ror.org/031f8kt38 UAEH, Pachuca Universidad Autónoma del Estado de Hidalgo, Pachuca, Mexico Morales-Soto, J.A. ORCID:0000-0001-9361-0147 ROR:https://ror.org/00z0kq074 IFM-UMSNH, Michoacan Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Mexico Moreno, E. ORCID:0000-0002-1114-2640 ROR:https://ror.org/03p2z7827 Puebla U., Mexico Facultad de Ciencias Físico Matemáticas, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico Mostafá, M. ORCID:0000-0002-7675-4656 ROR:https://ror.org/04p491231 Penn State U. Department of Physics, Pennsylvania State University, University Park, PA, U.S.A. Nayerhoda, A. ORCID:0000-0003-0587-4324 ROR:https://ror.org/01n78t774 Cracow, INP Institute of Nuclear Physics Polish Academy of Sciences, PL-31342 IFJ-PAN, Krakow, Poland Nellen, L. ORCID:0000-0003-1059-8731 ROR:https://ror.org/01tmp8f25 Mexico U., ICN Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de Mexico, Ciudad de Mexico, Mexico Nisa, M.U. ORCID:0000-0002-6859-3944 ROR:https://ror.org/05hs6h993 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, U.S.A. Noriega-Papaqui, R. ORCID:0000-0001-7099-108X ROR:https://ror.org/031f8kt38 UAEH, Pachuca Universidad Autónoma del Estado de Hidalgo, Pachuca, Mexico Olivera-Nieto, L. ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck Institute for Nuclear Physics,69117 Heidelberg,Germany Omodei, N. ROR:https://ror.org/05symbg58 ROR:https://ror.org/00f54p054 INFN, Pisa Stanford U., Phys. Dept. Università di Pisa and Istituto Nazionale di Fisica Nucleare,Sezione di Pisa I-56127 Pisa,Italy Department of Physics,Stanford University: Stanford,CA 94305-4060,USA Peisker, A. ROR:https://ror.org/05hs6h993 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, U.S.A. Pérez Araujo, Y. ORCID:0000-0002-8774-8147 ROR:https://ror.org/01tmp8f25 Mexico U. Instituto de Astronomía, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico Pérez-Pérez, E.G. ORCID:0000-0001-5998-4938 ROR:https://ror.org/031f8kt38 UAEH, Pachuca Universidad Politecnica de Pachuca, Pachuca, Hgo, Mexico Rho, C.D. ORCID:0000-0002-6524-9769 ROR:https://ror.org/01wjejq96 IPAP, Seoul Yonsei U. University of Seoul, Seoul, Rep. of Korea Rosa-González, D. ORCID:0000-0003-1327-0838 ROR:https://ror.org/00bpmmc63 INAOE, Puebla Instituto Nacional de Astrofísica, Óptica y Electrónica, Puebla, Mexico Salazar, H. ROR:https://ror.org/03p2z7827 Puebla U., Mexico Facultad de Ciencias Físico Matemáticas, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico Salazar-Gallegos, D. ORCID:0000-0002-9312-9684 ROR:https://ror.org/05hs6h993 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, U.S.A. Sandoval, A. ORCID:0000-0001-6079-2722 ROR:https://ror.org/01tmp8f25 Mexico U. Instituto de Física, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico Schneider, M. ORCID:0000-0001-8644-4734 ROR:https://ror.org/047s2c258 Maryland U. Department of Physics, University of Maryland, College Park, MD, U.S.A. Serna-Franco, J. ROR:https://ror.org/01tmp8f25 Mexico U. Instituto de Física, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico Smith, A.J. ORCID:0000-0002-1012-0431 ROR:https://ror.org/047s2c258 Maryland U. Department of Physics, University of Maryland, College Park, MD, U.S.A. Son, Y. ORCID:0000-0002-7214-8480 ROR:https://ror.org/01wjejq96 IPAP, Seoul Yonsei U. University of Seoul, Seoul, Rep. of Korea Springer, R.W. ORCID:0000-0002-1492-0380 ROR:https://ror.org/03r0ha626 Utah U. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT, U.S.A. Tibolla, O. ROR:https://ror.org/031f8kt38 UAEH, Pachuca Universidad Politecnica de Pachuca, Pachuca, Hgo, Mexico Tollefson, K. ORCID:0000-0001-9725-1479 ROR:https://ror.org/05hs6h993 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI, U.S.A. Torres, I. ORCID:0000-0002-1689-3945 ROR:https://ror.org/00bpmmc63 INAOE, Puebla Instituto Nacional de Astrofísica, Óptica y Electrónica, Puebla, Mexico Torres-Escobedo, R. ORCID:0000-0002-7102-3352 Tsung-Dao Lee Inst., Shanghai Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China Turner, R. ORCID:0000-0003-1068-6707 ROR:https://ror.org/0036rpn28 Michigan Tech. U. Department of Physics, Michigan Technological University, Houghton, MI, U.S.A. Ureña-Mena, F. ORCID:0000-0002-2748-2527 ROR:https://ror.org/00bpmmc63 INAOE, Puebla Instituto Nacional de Astrofísica, Óptica y Electrónica, Puebla, Mexico Varela, E. ORCID:0000-0003-0715-7513 ROR:https://ror.org/03p2z7827 Puebla U., Mexico Facultad de Ciencias Físico Matemáticas, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico Villaseñor, L. ORCID:0000-0001-6876-2800 ROR:https://ror.org/03p2z7827 Puebla U., Mexico Facultad de Ciencias Físico Matemáticas, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico Wang, X. ORCID:0000-0001-6798-353X ROR:https://ror.org/0036rpn28 Michigan Tech. U. Department of Physics, Michigan Technological University, Houghton, MI, U.S.A. Watson, I.J. ORCID:0000-0003-2141-3413 ROR:https://ror.org/01wjejq96 IPAP, Seoul Yonsei U. University of Seoul, Seoul, Rep. of Korea Whitaker, K. ROR:https://ror.org/04p491231 Penn State U. Department of Physics, Pennsylvania State University, University Park, PA, U.S.A. Willox, E. ORCID:0000-0002-6623-0277 ROR:https://ror.org/047s2c258 Maryland U. Department of Physics, University of Maryland, College Park, MD, U.S.A. Yu, S. ORCID:0009-0006-3520-3993 ROR:https://ror.org/04p491231 Penn State U. Department of Physics, Pennsylvania State University, University Park, PA, U.S.A. Yun-Cárcamo, S. ORCID:0000-0002-9307-0133 ROR:https://ror.org/047s2c258 Maryland U. Department of Physics, University of Maryland, College Park, MD, U.S.A. Zhou, H. ORCID:0000-0003-0513-3841 Tsung-Dao Lee Inst., Shanghai Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China Aharonian, F. ORCID:0000-0003-1157-3915 ROR:https://ror.org/051sx6d27 ROR:https://ror.org/052d0h423 Dublin Inst. Heidelberg, Max Planck Inst. Dublin Institute for Advanced Studies, 31 Fitzwilliam Place, Dublin 2, Ireland Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany Ait Benkhali, F. Heidelberg Observ. Landessternwarte, Universität Heidelberg, Königstuhl, D 69117 Heidelberg, Germany Armand, C. ROR:https://ror.org/049nhh297 Annecy, LAPP Université Savoie Mont Blanc, CNRS, Laboratoire d'Annecy de Physique des Particules — IN2P3, 74000 Annecy, France Aschersleben, J. ROR:https://ror.org/012p63287 Groningen U. Kapteyn Astronomical Institute, University of Groningen, Landleven 12, 9747 AD Groningen, The Netherlands Backes, M. ORCID:0000-0002-9326-6400 Namibia U. Potchefstroom U. University of Namibia, Department of Physics, Private Bag 13301, Windhoek 10005, Namibia Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Barbosa Martins, V. ORCID:0000-0002-5085-8828 ROR:https://ror.org/01js2sh04 DESY, Zeuthen DESY, D-15738 Zeuthen, Germany Batzofin, R. ORCID:0000-0002-5797-3386 U. Potsdam (main) Institut für Physik und Astronomie, Universität Potsdam, Karl-Liebknecht-Strasse 24/25, D 14476 Potsdam, Germany Becherini, Y. ORCID:0000-0002-2115-2930 ROR:https://ror.org/03tnjrr49 ROR:https://ror.org/05ynxx418 APC, Paris Linkoping U. Université de Paris, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Department of Physics and Electrical Engineering, Linnaeus University, 351 95 Växjö, Sweden Berge, D. ORCID:0000-0002-2918-1824 ROR:https://ror.org/05ynxx418 ROR:https://ror.org/01hcx6992 Linkoping U. Humboldt U., Berlin Department of Physics and Electrical Engineering, Linnaeus University, 351 95 Växjö, Sweden Institut für Physik, Humboldt-Universität zu Berlin, Newtonstr. 15, D 12489 Berlin, Germany Bi, B. ROR:https://ror.org/03a1kwz48 Tubingen U., IAAT Institut für Astronomie und Astrophysik, Universität Tübingen, Sand 1, D 72076 Tübingen, Germany Böttcher, M. ORCID:0000-0002-8434-5692 Potchefstroom U. Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Boisson, C. ORCID:0000-0001-5893-1797 LUTH, Meudon Laboratoire Univers et Théories, Observatoire de Paris, Université PSL, CNRS, Université de Paris, 92190 Meudon, France Bolmont, J. ORCID:0000-0003-4739-8389 ROR:https://ror.org/01hg8p552 LPNHE, Paris Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies, LPNHE, 4 place Jussieu, 75005 Paris, France de Bony de Lavergne, M. ORCID:0000-0002-4650-1666 ROR:https://ror.org/049nhh297 Annecy, LAPP Université Savoie Mont Blanc, CNRS, Laboratoire d'Annecy de Physique des Particules — IN2P3, 74000 Annecy, France Borowska, J. ROR:https://ror.org/01hcx6992 Humboldt U., Berlin Institut für Physik, Humboldt-Universität zu Berlin, Newtonstr. 15, D 12489 Berlin, Germany Bouyahiaoui, M. ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany Bradascio, F. ROR:https://ror.org/05k705z76 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France Breuhaus, M. ORCID:0000-0003-0268-5122 ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany Brun, F. ORCID:0000-0003-0770-9007 ROR:https://ror.org/05k705z76 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France Bruno, B. ORCID:0000-0002-0792-6311 ROR:https://ror.org/00f7hpc57 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany Bulik, T. ROR:https://ror.org/039bjqg32 Warsaw U. Observ. Astronomical Observatory, The University of Warsaw, Al. Ujazdowskie 4, 00-478 Warsaw, Poland Burger-Scheidlin, C. ORCID:0000-0002-7239-2248 ROR:https://ror.org/051sx6d27 Dublin Inst. Dublin Institute for Advanced Studies, 31 Fitzwilliam Place, Dublin 2, Ireland Caroff, S. ORCID:0000-0002-1103-130X ROR:https://ror.org/049nhh297 Annecy, LAPP Université Savoie Mont Blanc, CNRS, Laboratoire d'Annecy de Physique des Particules — IN2P3, 74000 Annecy, France Casanova, S. ROR:https://ror.org/05symbg58 ROR:https://ror.org/01n78t774 INFN, Pisa Cracow, INP Università di Pisa and Istituto Nazionale di Fisica Nucleare,Sezione di Pisa I-56127 Pisa,Italy Instytut Fizyki J¸adrowej PAN,ul. Radzikowskiego 152,31-342 Kraków,Poland Cecil, R. ROR:https://ror.org/00g30e956 Hamburg U. Universität Hamburg, Institut für Experimentalphysik, Luruper Chaussee 149, D 22761 Hamburg, Germany Celic, J. ROR:https://ror.org/00f7hpc57 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany Cerruti, M. ORCID:0000-0001-7891-699X ROR:https://ror.org/03tnjrr49 APC, Paris Université de Paris, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Chand, T. Potchefstroom U. Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Chandra, S. Potchefstroom U. Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Chen, A. ORCID:0000-0001-6425-5692 ROR:https://ror.org/03rp50x72 U. Witwatersrand, Johannesburg, Sch. Phys. School of Physics, University of the Witwatersrand, 1 Jan Smuts Avenue, Braamfontein, Johannesburg, 2050 South Africa Chibueze, J. ORCID:0000-0002-9875-7436 Potchefstroom U. Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Chibueze, O. ORCID:0000-0001-8601-2675 Potchefstroom U. Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Cotter, G. ORCID:0000-0002-9975-1829 ROR:https://ror.org/052gg0110 Oxford U. University of Oxford, Department of Physics, Denys Wilkinson Building, Keble Road, Oxford OX1 3RH, U.K. Dai, S. ROR:https://ror.org/03t52dk35 Western Sydney U., Hawkesbury School of Science, Western Sydney University, Locked Bag 1797, Penrith South DC, NSW 2751, Australia Damascene Mbarubucyeye, J. ORCID:0000-0002-4991-6576 ROR:https://ror.org/01js2sh04 DESY, Zeuthen DESY, D-15738 Zeuthen, Germany Dmytriiev, A. ORCID:0000-0003-0102-5579 Potchefstroom U. Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Doroshenko, V. ROR:https://ror.org/03a1kwz48 Tubingen U., IAAT Institut für Astronomie und Astrophysik, Universität Tübingen, Sand 1, D 72076 Tübingen, Germany Ernenwein, J.-P. ROR:https://ror.org/00fw8bp86 Marseille, CPPM Aix Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Fichet de Clairfontaine, G. ORCID:0000-0003-1143-3883 LUTH, Meudon Laboratoire Univers et Théories, Observatoire de Paris, Université PSL, CNRS, Université de Paris, 92190 Meudon, France Filipovic, M. ORCID:0000-0002-4990-9288 ROR:https://ror.org/03t52dk35 Western Sydney U., Hawkesbury School of Science, Western Sydney University, Locked Bag 1797, Penrith South DC, NSW 2751, Australia Fontaine, G. ORCID:0000-0002-6443-5025 ROR:https://ror.org/058t6p923 Ecole Polytechnique Laboratoire Leprince-Ringuet, École Polytechnique, CNRS, Institut Polytechnique de Paris, F-91128 Palaiseau, France Füßling, M. ROR:https://ror.org/01js2sh04 DESY, Zeuthen DESY, D-15738 Zeuthen, Germany Funk, S. ORCID:0000-0002-2012-0080 ROR:https://ror.org/00f7hpc57 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany Gabici, S. ROR:https://ror.org/03tnjrr49 APC, Paris Université de Paris, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Ghafourizadeh, S. Heidelberg Observ. Landessternwarte, Universität Heidelberg, Königstuhl, D 69117 Heidelberg, Germany Giavitto, G. ORCID:0000-0002-7629-6499 ROR:https://ror.org/01js2sh04 DESY, Zeuthen DESY, D-15738 Zeuthen, Germany Glawion, D. ORCID:0000-0003-4865-7696 ROR:https://ror.org/00f7hpc57 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany Glicenstein, J.F. ORCID:0000-0003-2581-1742 ROR:https://ror.org/05k705z76 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France Grolleron, G. ROR:https://ror.org/01hg8p552 LPNHE, Paris Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies, LPNHE, 4 place Jussieu, 75005 Paris, France Haerer, L. ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany Hinton, J.A. ORCID:0000-0002-1031-7760 ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany Hofmann, W. ORCID:0000-0001-8295-0648 ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany Holch, T.L. ORCID:0000-0001-5161-1168 ROR:https://ror.org/01js2sh04 DESY, Zeuthen DESY, D-15738 Zeuthen, Germany Holler, M. ORCID:0000-0002-0107-8657 ROR:https://ror.org/054pv6659 Innsbruck U. Leopold-Franzens-Universität Innsbruck, Institut für Astro- und Teilchenphysik, A-6020 Innsbruck, Austria Horns, D. ORCID:0000-0003-1945-0119 ROR:https://ror.org/00g30e956 Hamburg U. Universität Hamburg, Institut für Experimentalphysik, Luruper Chaussee 149, D 22761 Hamburg, Germany Jamrozy, M. ORCID:0000-0002-0870-7778 ROR:https://ror.org/03bqmcz70 Jagiellonian U., Astron. Observ. Obserwatorium Astronomiczne, Uniwersytet Jagielloński, ul. Orla 171, 30-244 Kraków, Poland Jankowsky, F. Heidelberg Observ. Landessternwarte, Universität Heidelberg, Königstuhl, D 69117 Heidelberg, Germany Jardin-Blicq, A. ORCID:0000-0002-6738-9351 ROR:https://ror.org/034a4bk84 LP2I, Bordeaux Université Bordeaux, CNRS, LP2I Bordeaux, UMR 5797, F-33170 Gradignan, France Joshi, V. ROR:https://ror.org/05symbg58 ROR:https://ror.org/00f7hpc57 INFN, Pisa Erlangen - Nuremberg U., ECAP Università di Pisa and Istituto Nazionale di Fisica Nucleare,Sezione di Pisa I-56127 Pisa,Italy Friedrich-Alexander-Universität Erlangen-Nürnberg,Erlangen Centre for Astroparticle Physics,Erwin-Rommel-Str. 1,D 91058 Erlangen,Germany Jung-Richardt, I. ROR:https://ror.org/00f7hpc57 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany Kasai, E. ORCID:0000-0001-9696-7221 Namibia U. University of Namibia, Department of Physics, Private Bag 13301, Windhoek 10005, Namibia Katarzyński, K. ORCID:0000-0002-8806-4863 Torun, Copernicus Astron. Ctr. Institute of Astronomy, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, Grudziadzka 5, 87-100 Torun, Poland Khatoon, R. Potchefstroom U. Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Khélifi, B. ORCID:0000-0001-6876-5577 ROR:https://ror.org/03tnjrr49 APC, Paris Université de Paris, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Kluźniak, W. Warsaw, Copernicus Astron. Ctr. Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, ul. Bartycka 18, 00-716 Warsaw, Poland Komin, Nu. ORCID:0000-0003-3280-0582 ROR:https://ror.org/03rp50x72 U. Witwatersrand, Johannesburg, Sch. Phys. School of Physics, University of the Witwatersrand, 1 Jan Smuts Avenue, Braamfontein, Johannesburg, 2050 South Africa Kostunin, D. ORCID:0000-0002-0487-0076 ROR:https://ror.org/01js2sh04 DESY, Zeuthen DESY, D-15738 Zeuthen, Germany Lang, R.G. ORCID:0000-0003-0492-5628 ROR:https://ror.org/00f7hpc57 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany Le Stum, S. ROR:https://ror.org/00fw8bp86 Marseille, CPPM Aix Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Leitl, F. ROR:https://ror.org/00f7hpc57 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany Lemière, A. ORCID:0000-0002-6682-7188 ROR:https://ror.org/03tnjrr49 APC, Paris Université de Paris, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Lemoine-Goumard, M. ORCID:0000-0002-4462-3686 ROR:https://ror.org/034a4bk84 LP2I, Bordeaux Université Bordeaux, CNRS, LP2I Bordeaux, UMR 5797, F-33170 Gradignan, France Lenain, J.-P. ORCID:0000-0001-7284-9220 ROR:https://ror.org/01hg8p552 LPNHE, Paris Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies, LPNHE, 4 place Jussieu, 75005 Paris, France Leuschner, F. ORCID:0000-0001-9037-0272 ROR:https://ror.org/03a1kwz48 Tubingen U., IAAT Institut für Astronomie und Astrophysik, Universität Tübingen, Sand 1, D 72076 Tübingen, Germany Lohse, T. ROR:https://ror.org/01hcx6992 Humboldt U., Berlin Institut für Physik, Humboldt-Universität zu Berlin, Newtonstr. 15, D 12489 Berlin, Germany Luashvili, A. ORCID:0000-0003-4384-1638 LUTH, Meudon Laboratoire Univers et Théories, Observatoire de Paris, Université PSL, CNRS, Université de Paris, 92190 Meudon, France Lypova, I. Heidelberg Observ. Landessternwarte, Universität Heidelberg, Königstuhl, D 69117 Heidelberg, Germany Mackey, J. ORCID:0000-0002-5449-6131 ROR:https://ror.org/051sx6d27 Dublin Inst. Dublin Institute for Advanced Studies, 31 Fitzwilliam Place, Dublin 2, Ireland Malyshev, D. ROR:https://ror.org/03a1kwz48 Tubingen U., IAAT Institut für Astronomie und Astrophysik,Universität Tübingen,Sand 1,D 72076 Tübingen,Germany Malyshev, D. ROR:https://ror.org/05symbg58 ROR:https://ror.org/00f7hpc57 INFN, Pisa Erlangen - Nuremberg U., ECAP Università di Pisa and Istituto Nazionale di Fisica Nucleare,Sezione di Pisa I-56127 Pisa,Italy Friedrich-Alexander-Universität Erlangen-Nürnberg,Erlangen Centre for Astroparticle Physics,Erwin-Rommel-Str. 1,D 91058 Erlangen,Germany Marandon, V. ORCID:0000-0001-9077-4058 ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany Marchegiani, P. ORCID:0000-0001-7487-8287 ROR:https://ror.org/03rp50x72 U. Witwatersrand, Johannesburg, Sch. Phys. School of Physics, University of the Witwatersrand, 1 Jan Smuts Avenue, Braamfontein, Johannesburg, 2050 South Africa Marx, R. ORCID:0000-0002-6557-4924 Heidelberg Observ. Landessternwarte, Universität Heidelberg, Königstuhl, D 69117 Heidelberg, Germany Meyer, M. ROR:https://ror.org/05symbg58 ROR:https://ror.org/00g30e956 INFN, Pisa Hamburg U. Università di Pisa and Istituto Nazionale di Fisica Nucleare,Sezione di Pisa I-56127 Pisa,Italy Universität Hamburg,Institut für Experimentalphysik,Luruper Chaussee 149,D 22761 Hamburg,Germany Mitchell, A. ORCID:0000-0003-3631-5648 ROR:https://ror.org/00f7hpc57 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany Moderski, R. ORCID:0000-0002-8663-3882 Warsaw, Copernicus Astron. Ctr. Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, ul. Bartycka 18, 00-716 Warsaw, Poland Montanari, A. ORCID:0000-0002-3620-0173 Heidelberg Observ. Landessternwarte, Universität Heidelberg, Königstuhl, D 69117 Heidelberg, Germany Moulin, E. ORCID:0000-0003-4007-0145 ROR:https://ror.org/05k705z76 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France Nakashima, K. ROR:https://ror.org/00f7hpc57 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany de Naurois, M. ORCID:0000-0002-7245-201X ROR:https://ror.org/058t6p923 Ecole Polytechnique Laboratoire Leprince-Ringuet, École Polytechnique, CNRS, Institut Polytechnique de Paris, F-91128 Palaiseau, France Niemiec, J. ORCID:0000-0001-6036-8569 ROR:https://ror.org/01n78t774 Cracow, INP Instytut Fizyki Ja̧drowej PAN, ul. Radzikowskiego 152, 31-342 Kraków, Poland Priyana Noel, A. ROR:https://ror.org/03bqmcz70 Jagiellonian U., Astron. Observ. Obserwatorium Astronomiczne, Uniwersytet Jagielloński, ul. Orla 171, 30-244 Kraków, Poland Oakes, L. ROR:https://ror.org/01hcx6992 Humboldt U., Berlin Institut für Physik, Humboldt-Universität zu Berlin, Newtonstr. 15, D 12489 Berlin, Germany O'Brien, P. ORCID:0000-0002-5128-1899 ROR:https://ror.org/04h699437 Leicester U. Department of Physics and Astronomy, The University of Leicester, University Road, Leicester, LE1 7RH, United Kingdom Ohm, S. ORCID:0000-0002-3474-2243 ROR:https://ror.org/01js2sh04 DESY, Zeuthen DESY, D-15738 Zeuthen, Germany Olivera-Nieto, L. ROR:https://ror.org/05symbg58 ROR:https://ror.org/052d0h423 INFN, Pisa Heidelberg, Max Planck Inst. Università di Pisa and Istituto Nazionale di Fisica Nucleare,Sezione di Pisa I-56127 Pisa,Italy Max-Planck-Institut für Kernphysik,P.O. Box 103980,D 69029 Heidelberg,Germany de Ona Wilhelmi, E. ORCID:0000-0002-5401-0744 ROR:https://ror.org/01js2sh04 DESY, Zeuthen DESY, D-15738 Zeuthen, Germany Ostrowski, M. ORCID:0000-0002-9199-7031 ROR:https://ror.org/03bqmcz70 Jagiellonian U., Astron. Observ. Obserwatorium Astronomiczne, Uniwersytet Jagielloński, ul. Orla 171, 30-244 Kraków, Poland Panny, S. ORCID:0000-0001-5770-3805 ROR:https://ror.org/054pv6659 Innsbruck U. Leopold-Franzens-Universität Innsbruck, Institut für Astro- und Teilchenphysik, A-6020 Innsbruck, Austria Panter, M. ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany Parsons, R.D. ORCID:0000-0003-3457-9308 ROR:https://ror.org/01hcx6992 Humboldt U., Berlin Institut für Physik, Humboldt-Universität zu Berlin, Newtonstr. 15, D 12489 Berlin, Germany Poireau, V. ORCID:0000-0002-4768-0256 ROR:https://ror.org/049nhh297 Annecy, LAPP Université Savoie Mont Blanc, CNRS, Laboratoire d'Annecy de Physique des Particules — IN2P3, 74000 Annecy, France Prokhorov, D.A. ROR:https://ror.org/04dkp9463 ROR:https://ror.org/04dkp9463 Amsterdam U., Astron. Inst. U. Amsterdam, GRAPPA GRAPPA, Anton Pannekoek Institute for Astronomy, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands Pühlhofer, G. ORCID:0000-0003-4632-4644 ROR:https://ror.org/03a1kwz48 Tubingen U., IAAT Institut für Astronomie und Astrophysik, Universität Tübingen, Sand 1, D 72076 Tübingen, Germany Quirrenbach, A. Heidelberg Observ. Landessternwarte, Universität Heidelberg, Königstuhl, D 69117 Heidelberg, Germany Reichherzer, P. ORCID:0000-0003-4513-8241 ROR:https://ror.org/05k705z76 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France Reimer, A. ORCID:0000-0001-8604-7077 ROR:https://ror.org/054pv6659 Innsbruck U. Leopold-Franzens-Universität Innsbruck, Institut für Astro- und Teilchenphysik, A-6020 Innsbruck, Austria Reimer, O. ROR:https://ror.org/05symbg58 ROR:https://ror.org/054pv6659 INFN, Pisa Innsbruck U. Università di Pisa and Istituto Nazionale di Fisica Nucleare,Sezione di Pisa I-56127 Pisa,Italy Leopold-Franzens-Universität Innsbruck,Institut für Astro- und Teilchenphysik,A6020 Innsbruck,Austria Rieger, F. ORCID:0000-0003-1334-2993 ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany Rinchiuso, L. ROR:https://ror.org/05k705z76 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France Rowell, G. ORCID:0000-0002-9516-1581 ROR:https://ror.org/00892tw58 Adelaide U. School of Physical Sciences, University of Adelaide, Adelaide 5005, Australia Rudak, B. ORCID:0000-0003-0452-3805 Warsaw, Copernicus Astron. Ctr. Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, ul. Bartycka 18, 00-716 Warsaw, Poland Sahakian, V. ORCID:0000-0003-1198-0043 ROR:https://ror.org/00ad27c73 Yerevan Phys. Inst. Yerevan Physics Institute, 2 Alikhanian Brothers St., 375036 Yerevan, Armenia Sailer, S. ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany Santangelo, A. ORCID:0000-0003-4187-9560 ROR:https://ror.org/03a1kwz48 Tubingen U., IAAT Institut für Astronomie und Astrophysik, Universität Tübingen, Sand 1, D 72076 Tübingen, Germany Sasaki, M. ORCID:0000-0001-5302-1866 ROR:https://ror.org/00f7hpc57 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany Schäfer, J. ROR:https://ror.org/00f7hpc57 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany Schwanke, U. ROR:https://ror.org/01hcx6992 Humboldt U., Berlin Institut für Physik, Humboldt-Universität zu Berlin, Newtonstr. 15, D 12489 Berlin, Germany Shapopi, J.N.S. ORCID:0000-0002-7130-9270 Namibia U. University of Namibia, Department of Physics, Private Bag 13301, Windhoek 10005, Namibia Sol, H. LUTH, Meudon Laboratoire Univers et Théories, Observatoire de Paris, Université PSL, CNRS, Université de Paris, 92190 Meudon, France Specovius, A. ORCID:0000-0002-1156-4771 ROR:https://ror.org/00f7hpc57 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany Spencer, S. ORCID:0000-0001-5516-1205 ROR:https://ror.org/00f7hpc57 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany Stawarz, Ł. ORCID:0000-0002-7263-7540 ROR:https://ror.org/03bqmcz70 Jagiellonian U., Astron. Observ. Obserwatorium Astronomiczne, Uniwersytet Jagielloński, ul. Orla 171, 30-244 Kraków, Poland Steenkamp, R. ORCID:0009-0009-4130-977X Namibia U. University of Namibia, Department of Physics, Private Bag 13301, Windhoek 10005, Namibia Steinmassl, S. ORCID:0000-0002-2865-8563 ROR:https://ror.org/052d0h423 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany Steppa, C. ORCID:0000-0003-0116-8836 U. Potsdam (main) Institut für Physik und Astronomie, Universität Potsdam, Karl-Liebknecht-Strasse 24/25, D 14476 Potsdam, Germany Sushch, I. ORCID:0000-0002-2814-1257 Potchefstroom U. Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Suzuki, H. Konan U. Department of Physics, Konan University, 8-9-1 Okamoto, Higashinada, Kobe, Hyogo 658-8501, Japan Takahashi, T. ORCID:0000-0001-6305-3909 ROR:https://ror.org/02chw6z69 Tokyo U., IPMU Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, 5-1-5 Kashiwa-no-Ha, Kashiwa, Chiba, 277-8583, Japan Tanaka, T. ORCID:0000-0002-4383-0368 Konan U. Department of Physics, Konan University, 8-9-1 Okamoto, Higashinada, Kobe, Hyogo 658-8501, Japan Tavernier, T. ROR:https://ror.org/05k705z76 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France Taylor, A.M. ORCID:0000-0001-9473-4758 ROR:https://ror.org/01js2sh04 DESY, Zeuthen DESY, D-15738 Zeuthen, Germany Terrier, R. ORCID:0000-0002-8219-4667 ROR:https://ror.org/03tnjrr49 APC, Paris Université de Paris, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Thorpe-Morgan, C. ROR:https://ror.org/03a1kwz48 Tubingen U., IAAT Institut für Astronomie und Astrophysik, Universität Tübingen, Sand 1, D 72076 Tübingen, Germany van Eldik, C. ORCID:0000-0001-9669-645X ROR:https://ror.org/00f7hpc57 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany Vecchi, M. ORCID:0000-0002-5338-6029 ROR:https://ror.org/012p63287 Groningen U. Kapteyn Astronomical Institute, University of Groningen, Landleven 12, 9747 AD Groningen, The Netherlands Veh, J. ORCID:0000-0003-4736-2167 ROR:https://ror.org/00f7hpc57 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany Venter, C. ORCID:0000-0002-2666-4812 Potchefstroom U. Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Vink, J. ORCID:0000-0002-4708-4219 ROR:https://ror.org/04dkp9463 ROR:https://ror.org/04dkp9463 Amsterdam U., Astron. Inst. U. Amsterdam, GRAPPA GRAPPA, Anton Pannekoek Institute for Astronomy, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands Wach, T. ORCID:0009-0008-4658-7405 ROR:https://ror.org/00f7hpc57 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany Wagner, S.J. ORCID:0000-0002-7474-6062 Heidelberg Observ. Landessternwarte, Universität Heidelberg, Königstuhl, D 69117 Heidelberg, Germany Wierzcholska, A. ORCID:0000-0003-4472-7204 ROR:https://ror.org/01n78t774 Cracow, INP Instytut Fizyki Ja̧drowej PAN, ul. Radzikowskiego 152, 31-342 Kraków, Poland Wong, Yu Wun ROR:https://ror.org/00f7hpc57 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany Zacharias, M. ORCID:0000-0001-5801-3945 Heidelberg Observ. Potchefstroom U. Landessternwarte, Universität Heidelberg, Königstuhl, D 69117 Heidelberg, Germany Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Zargaryan, D. ORCID:0000-0002-2876-6433 ROR:https://ror.org/051sx6d27 Dublin Inst. Dublin Institute for Advanced Studies, 31 Fitzwilliam Place, Dublin 2, Ireland Zdziarski, A.A. ORCID:0000-0002-0333-2452 Warsaw, Copernicus Astron. Ctr. Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, ul. Bartycka 18, 00-716 Warsaw, Poland Zech, A. LUTH, Meudon Laboratoire Univers et Théories, Observatoire de Paris, Université PSL, CNRS, Université de Paris, 92190 Meudon, France Zouari, S. ORCID:0000-0002-5333-2004 ROR:https://ror.org/03tnjrr49 APC, Paris Université de Paris, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Żywucka, N. Potchefstroom U. Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Abe, H. ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Abe, S. ORCID:0000-0001-7250-3596 ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Acciari, V.A. ORCID:0000-0001-8307-2007 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Agudo, I. ORCID:0000-0002-3777-6182 ROR:https://ror.org/04ka0vh05 IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008, Granada, Spain Aniello, T. ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Ansoldi, S. ORCID:0000-0002-5613-7693 ROR:https://ror.org/05j3snm48 ROR:https://ror.org/02jktn113 Udine U. INFN, Trieste ICRA, Rome Università di Udine and INFN Trieste, I-33100 Udine, Italy Also at International Center for Relativistic Astrophysics (ICRA), Rome, Italy Antonelli, L.A. ORCID:0000-0002-5037-9034 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Arbet Engels, A. ORCID:0000-0001-9076-9582 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Max-Planck-Institut für Physik, D-80805 München, Germany Arcaro, C. ORCID:0000-0002-1998-9707 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Artero, M. ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d'Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Asano, K. ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Baack, D. ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Babić, A. ORCID:0000-0002-1444-5604 ROR:https://ror.org/00mv6sv71 Zagreb U. Croatian MAGIC Group: University of Zagreb, Faculty of Electrical Engineering and Computing (FER), 10000 Zagreb, Croatia Baquero, A. ROR:https://ror.org/02p0gd045 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Barres de Almeida, U. ORCID:0000-0001-7909-588X ROR:https://ror.org/02wnmk332 Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas (CBPF), 22290-180 URCA, Rio de Janeiro (RJ), Brazil Barrio, J.A. ORCID:0000-0002-0965-0259 ROR:https://ror.org/02p0gd045 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Batković, I. ORCID:0000-0002-1209-2542 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Baxter, J. ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Becerra González, J. ORCID:0000-0002-6729-9022 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Bednarek, W. ORCID:0000-0003-0605-108X ROR:https://ror.org/05cq64r17 Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Bernardini, E. ORCID:0000-0003-3108-1141 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Bernardos, M. ROR:https://ror.org/04ka0vh05 IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008, Granada, Spain Bernete, J. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Berti, A. ORCID:0000-0003-0396-4190 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Max-Planck-Institut für Physik, D-80805 München, Germany Bigongiari, C. ORCID:0000-0003-3293-8522 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Biland, A. ORCID:0000-0002-1288-833X ROR:https://ror.org/05a28rw58 Zurich, ETH ETH Zürich, CH-8093 Zürich, Switzerland Blanch, O. ORCID:0000-0002-8380-1633 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d'Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Bonnoli, G. ORCID:0000-0003-2464-9077 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Bošnjak, Ž. ORCID:0000-0001-6536-0320 ROR:https://ror.org/00mv6sv71 Zagreb U. Croatian MAGIC Group: University of Zagreb, Faculty of Electrical Engineering and Computing (FER), 10000 Zagreb, Croatia Burelli, I. ORCID:0000-0002-8383-2202 ROR:https://ror.org/05j3snm48 Udine U. INFN, Trieste Università di Udine and INFN Trieste, I-33100 Udine, Italy Busetto, G. INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Campoy Ordaz, A. ORCID:0000-0001-9352-8936 ROR:https://ror.org/052g8jq94 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain Carosi, A. ORCID:0000-0001-8690-6804 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Carosi, R. ORCID:0000-0002-4137-4370 ROR:https://ror.org/03ad39j10 Pisa U. Università di Pisa and INFN Pisa, I-56126 Pisa, Italy Carretero-Castrillo, M. ORCID:0000-0002-1426-1311 ROR:https://ror.org/021018s57 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Castro-Tirado, A.J. ORCID:0000-0002-0841-0026 ROR:https://ror.org/04ka0vh05 IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008, Granada, Spain Ceribella, G. ORCID:0000-0002-9768-2751 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Max-Planck-Institut für Physik, D-80805 München, Germany Chai, Y. ORCID:0000-0003-2816-2821 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Max-Planck-Institut für Physik, D-80805 München, Germany Cifuentes, A. ORCID:0000-0003-1033-5296 ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Cikota, S. ROR:https://ror.org/00mv6sv71 Zagreb U. Croatian MAGIC Group: University of Zagreb, Faculty of Electrical Engineering and Computing (FER), 10000 Zagreb, Croatia Colombo, E. ORCID:0000-0002-3700-3745 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Contreras, J.L. ORCID:0000-0001-7282-2394 ROR:https://ror.org/02p0gd045 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Cortina, J. ORCID:0000-0003-4576-0452 ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Covino, S. ORCID:0000-0001-9078-5507 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy D'Amico, G. ORCID:0000-0001-6472-8381 ROR:https://ror.org/03zga2b32 Bergen U. Department for Physics and Technology, University of Bergen, Norway D'Elia, V. ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Da Vela, P. ORCID:0000-0003-0604-4517 ROR:https://ror.org/03ad39j10 Pisa U. Innsbruck U., Inst. Astrophys. Università di Pisa and INFN Pisa, I-56126 Pisa, Italy Now at Institute for Astro- and Particle Physics, University of Innsbruck, A-6020 Innsbruck, Austria Dazzi, F. ORCID:0000-0001-5409-6544 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy De Angelis, A. INFM, Padua Università di Padova and INFN,I-35131 Padova,Italy De Lotto, B. ORCID:0000-0003-3624-4480 ROR:https://ror.org/05j3snm48 Udine U. INFN, Trieste Università di Udine and INFN Trieste, I-33100 Udine, Italy Del Popolo, A. ROR:https://ror.org/03a64bh57 ROR:https://ror.org/02pq29p90 Catania U. INFN, Catania INFN MAGIC Group: INFN Sezione di Catania and Dipartimento di Fisica e Astronomia, University of Catania, I-95123 Catania, Italy Delfino, M. ORCID:0000-0002-9468-4751 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE PIC, Bellaterra Institut de Física d'Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Also at Port d'Informació Científica (PIC), E-08193 Bellaterra (Barcelona), Spain Delgado, J. ORCID:0000-0002-0166-5464 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE PIC, Bellaterra Institut de Física d'Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Also at Port d'Informació Científica (PIC), E-08193 Bellaterra (Barcelona), Spain Delgado Mendez, C. ORCID:0000-0002-7014-4101 ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Depaoli, D. ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Di Pierro, F. ORCID:0000-0003-4861-432X ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Di Venere, L. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 INFN, Pisa Bari Polytechnic INFN, Bari Università di Pisa and Istituto Nazionale di Fisica Nucleare,Sezione di Pisa I-56127 Pisa,Italy INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari,I-70125 Bari,Italy Dominis Prester, D. ORCID:0000-0002-9880-5039 ROR:https://ror.org/05r8dqr10 Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Donini, A. ORCID:0000-0002-3066-724X ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Dorner, D. ORCID:0000-0001-8823-479X ROR:https://ror.org/00fbnyb24 Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Doro, M. ORCID:0000-0001-9104-3214 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Elsaesser, D. ORCID:0000-0001-6796-3205 ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Emery, G. ROR:https://ror.org/01swzsf04 Geneva U. University of Geneva, Chemin d'Ecogia 16, CH-1290 Versoix, Switzerland Escudero, J. ROR:https://ror.org/04ka0vh05 IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008, Granada, Spain Fariña, L. ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d'Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Fattorini, A. ORCID:0000-0002-1056-9167 ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Foffano, L. ORCID:0000-0002-0709-9707 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Font, L. ORCID:0000-0003-2109-5961 ROR:https://ror.org/052g8jq94 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain Fröse, S. ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Fukami, S. ROR:https://ror.org/05a28rw58 Zurich, ETH ETH Zürich, CH-8093 Zürich, Switzerland Fukazawa, Y. ORCID:0000-0002-0921-8837 ROR:https://ror.org/03t78wx29 Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan García López, R.J. ORCID:0000-0002-8204-6832 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Garczarczyk, M. ORCID:0000-0002-0445-4566 ROR:https://ror.org/01js2sh04 DESY, Zeuthen Deutsches Elektronen-Synchrotron (DESY), D-15738 Zeuthen, Germany Gasparyan, S. ORCID:0000-0002-0031-7759 ICRANet, Yerevan Armenian MAGIC Group: ICRANet-Armenia, 0019 Yerevan, Armenia Gaug, M. ORCID:0000-0001-8442-7877 ROR:https://ror.org/052g8jq94 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain Giesbrecht Paiva, J.G. ORCID:0000-0002-5817-2062 ROR:https://ror.org/02wnmk332 Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas (CBPF), 22290-180 URCA, Rio de Janeiro (RJ), Brazil Giglietto, N. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 INFN, Pisa Bari Polytechnic INFN, Bari Università di Pisa and Istituto Nazionale di Fisica Nucleare,Sezione di Pisa I-56127 Pisa,Italy INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari,I-70125 Bari,Italy Giordano, F. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 INFN, Pisa Bari Polytechnic INFN, Bari Università di Pisa and Istituto Nazionale di Fisica Nucleare,Sezione di Pisa I-56127 Pisa,Italy INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari,I-70125 Bari,Italy Gliwny, P. ORCID:0000-0002-4183-391X ROR:https://ror.org/05cq64r17 Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Godinović, N. ORCID:0000-0002-4674-9450 ROR:https://ror.org/00m31ft63 Split U. Croatian MAGIC Group: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), 21000 Split, Croatia Grau, R. ORCID:0000-0002-1891-6290 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d'Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Green, D. ORCID:0000-0003-0768-2203 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Max-Planck-Institut für Physik, D-80805 München, Germany Green, J.G. ORCID:0000-0002-1130-6692 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Max-Planck-Institut für Physik, D-80805 München, Germany Hadasch, D. ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Hahn, A. ORCID:0000-0003-0827-5642 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Max-Planck-Institut für Physik, D-80805 München, Germany Hassan, T. ORCID:0000-0002-4758-9196 ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Heckmann, L. ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Innsbruck U., Inst. Astrophys. Max-Planck-Institut für Physik, D-80805 München, Germany Also at Institute for Astro- and Particle Physics, University of Innsbruck, A-6020 Innsbruck, Austria Herrera, J. ORCID:0000-0002-3771-4918 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Hrupec, D. ORCID:0000-0002-7027-5021 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Croatian MAGIC Group: Josip Juraj Strossmayer University of Osijek, Department of Physics, 31000 Osijek, Croatia Hütten, M. ORCID:0000-0002-2133-5251 ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Imazawa, R. ROR:https://ror.org/03t78wx29 Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan Inada, T. ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Iotov, R. ROR:https://ror.org/00fbnyb24 Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Ishio, K. ROR:https://ror.org/05cq64r17 Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Jiménez Martínez, I. ORCID:0000-0003-2150-6919 ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Jormanainen, J. ORCID:0000-0003-4519-7751 ROR:https://ror.org/05vghhr25 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, University of Turku, FI-20014 Turku, Finland Kerszberg, D. ORCID:0000-0002-5289-1509 ROR:https://ror.org/01sdrjx85 ROR:https://ror.org/01hg8p552 Barcelona, IFAE LPNHE, Paris Institut de Física d'Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Now at Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies, LPNHE, 4 place Jussieu, 75005 Paris, France Kluge, G.W. ORCID:0009-0009-0384-0084 ROR:https://ror.org/03zga2b32 ROR:https://ror.org/01xtthb56 Bergen U. Oslo U. Department for Physics and Technology, University of Bergen, Norway Also at Department of Physics, University of Oslo, Norway Kobayashi, Y. ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Kouch, P.M. ORCID:0000-0002-9328-2750 ROR:https://ror.org/05vghhr25 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, University of Turku, FI-20014 Turku, Finland Kubo, H. ORCID:0000-0001-9159-9853 ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Kushida, J. ORCID:0000-0002-8002-8585 ROR:https://ror.org/01p7qe739 Tokai U., Hiratsuka Japanese MAGIC Group: Department of Physics, Tokai University, Hiratsuka, 259-1292 Kanagawa, Japan Láinez Lezáun, M. ORCID:0000-0003-3848-922X ROR:https://ror.org/02p0gd045 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Lamastra, A. ORCID:0000-0003-2403-913X ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Leone, F. ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Lindfors, E. ORCID:0000-0002-9155-6199 ROR:https://ror.org/05vghhr25 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, University of Turku, FI-20014 Turku, Finland Lombardi, S. ORCID:0000-0002-6336-865X ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Longo, F. ROR:https://ror.org/05symbg58 ROR:https://ror.org/05j3snm48 ROR:https://ror.org/02n742c10 INFN, Pisa Udine U. INFN, Trieste Trieste U. Università di Pisa and Istituto Nazionale di Fisica Nucleare,Sezione di Pisa I-56127 Pisa,Italy Università di Udine and INFN Trieste,I-33100 Udine,Italy also at Dipartimento di Fisica,Università di Trieste,I-34127 Trieste,Italy López-Coto, R. ORCID:0000-0002-3882-9477 ROR:https://ror.org/04ka0vh05 IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008, Granada, Spain López-Moya, M. ORCID:0000-0002-8791-7908 ROR:https://ror.org/02p0gd045 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain López-Oramas, A. ORCID:0000-0003-4603-1884 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Loporchio, S. ORCID:0000-0003-4457-5431 ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell'Università e del Politecnico di Bari, I-70125 Bari, Italy Lorini, A. ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Machado de Oliveira Fraga, B. ROR:https://ror.org/02wnmk332 Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas (CBPF), 22290-180 URCA, Rio de Janeiro (RJ), Brazil Majumdar, P. ORCID:0000-0002-5481-5040 ROR:https://ror.org/0491yz035 Saha Inst. Saha Institute of Nuclear Physics, A CI of Homi Bhabha National Institute, Kolkata 700064, West Bengal, India Makariev, M. ORCID:0000-0002-1622-3116 ROR:https://ror.org/0276rjc88 Sofiya, Inst. Nucl. Res. Inst. for Nucl. Research and Nucl. Energy, Bulgarian Academy of Sciences, BG-1784 Sofia, Bulgaria Maneva, G. ORCID:0000-0002-5959-4179 ROR:https://ror.org/0276rjc88 Sofiya, Inst. Nucl. Res. Inst. for Nucl. Research and Nucl. Energy, Bulgarian Academy of Sciences, BG-1784 Sofia, Bulgaria Mang, N. ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Manganaro, M. ORCID:0000-0003-1530-3031 ROR:https://ror.org/05r8dqr10 Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Mangano, S. ORCID:0000-0001-5872-1191 ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Mannheim, K. ORCID:0000-0002-2950-6641 ROR:https://ror.org/00fbnyb24 Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Mariotti, M. ORCID:0000-0003-3297-4128 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Martínez, M. ORCID:0000-0002-9763-9155 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d'Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Mas-Aguilar, A. ORCID:0000-0002-8893-9009 ROR:https://ror.org/02p0gd045 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Mazin, D. ORCID:0000-0002-2010-4005 ROR:https://ror.org/008td3p62 ROR:https://ror.org/0079jjr10 Tokyo U., ICRR Munich, Max Planck Inst. Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Max-Planck-Institut für Physik, D-80805 München, Germany Menchiari, S. ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Mender, S. ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Miceli, D. ORCID:0000-0002-2686-0098 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Miener, T. ROR:https://ror.org/02p0gd045 ROR:https://ror.org/01swzsf04 HIAST Madrid U. Geneva U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Now at Département de physique nucléaire et corpusculaire, University de Genève, Faculté de Sciences, 1205 Genève, Switzerland Miranda, J.M. ORCID:0000-0002-1472-9690 ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Mirzoyan, R. ORCID:0000-0003-0163-7233 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Max-Planck-Institut für Physik, D-80805 München, Germany Molero González, M. ORCID:0000-0003-0967-715X ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Molina, E. ORCID:0000-0003-1204-5516 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Mondal, H.A. ORCID:0000-0001-7217-0234 ROR:https://ror.org/0491yz035 Saha Inst. Saha Institute of Nuclear Physics, A CI of Homi Bhabha National Institute, Kolkata 700064, West Bengal, India Moralejo, A. ORCID:0000-0002-1344-9080 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d'Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Morcuende, D. ROR:https://ror.org/02p0gd045 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Nanci, C. ORCID:0000-0002-1791-8235 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Neustroev, V. ORCID:0000-0003-4772-595X ROR:https://ror.org/03yj89h83 Oulu U. Finnish MAGIC Group: Space Physics and Astronomy Research Unit, University of Oulu, FI-90014 Oulu, Finland Nievas Rosillo, M. ORCID:0000-0002-8321-9168 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Nigro, C. ORCID:0000-0001-8375-1907 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d'Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Nilsson, K. ORCID:0000-0002-1445-8683 ROR:https://ror.org/05vghhr25 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, University of Turku, FI-20014 Turku, Finland Nishijima, K. ROR:https://ror.org/01p7qe739 Tokai U., Hiratsuka Japanese MAGIC Group: Department of Physics, Tokai University, Hiratsuka, 259-1292 Kanagawa, Japan Njoh Ekoume, T. ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Noda, K. ROR:https://ror.org/01hjzeq58 Chiba U. Japanese MAGIC Group: Chiba University, ICEHAP, 263-8522 Chiba, Japan Nozaki, S. ORCID:0000-0002-6246-2767 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Max-Planck-Institut für Physik, D-80805 München, Germany Ohtani, Y. ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Okumura, A. ROR:https://ror.org/04chrp450 KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, 464-6801 Nagoya, Japan Otero-Santos, J. ORCID:0000-0002-4241-5875 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Paiano, S. ORCID:0000-0002-2239-3373 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Palatiello, M. ROR:https://ror.org/05j3snm48 Udine U. INFN, Trieste Università di Udine and INFN Trieste, I-33100 Udine, Italy Paneque, D. ORCID:0000-0002-2830-0502 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Max-Planck-Institut für Physik, D-80805 München, Germany Paoletti, R. ORCID:0000-0003-0158-2826 ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Paredes, J.M. ORCID:0000-0002-1566-9044 ROR:https://ror.org/021018s57 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Pavletić, L. ROR:https://ror.org/05r8dqr10 Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Persic, M. ROR:https://ror.org/05symbg58 ROR:https://ror.org/05j3snm48 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/00z34yn88 INFN, Pisa Udine U. INFN, Trieste CERN INFN, Padua Università di Pisa and Istituto Nazionale di Fisica Nucleare,Sezione di Pisa I-56127 Pisa,Italy Università di Udine and INFN Trieste,I-33100 Udine,Italy also at INAF Padova Pihet, M. INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Pirola, G. ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Max-Planck-Institut für Physik, D-80805 München, Germany Podobnik, F. ORCID:0000-0001-6125-9487 ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Prada Moroni, P.G. ORCID:0000-0001-9712-9916 ROR:https://ror.org/03ad39j10 Pisa U. Università di Pisa and INFN Pisa, I-56126 Pisa, Italy Prandini, E. ORCID:0000-0003-4502-9053 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Principe, G. ROR:https://ror.org/05symbg58 ROR:https://ror.org/05j3snm48 INFN, Pisa Udine U. INFN, Trieste Università di Pisa and Istituto Nazionale di Fisica Nucleare,Sezione di Pisa I-56127 Pisa,Italy Università di Udine and INFN Trieste,I-33100 Udine,Italy Priyadarshi, C. ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d'Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Rhode, W. ORCID:0000-0003-2636-5000 ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Ribó, M. ORCID:0000-0002-9931-4557 ROR:https://ror.org/021018s57 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Rico, J. ORCID:0000-0003-4137-1134 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d'Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Righi, C. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Sahakyan, N. ORCID:0000-0003-2011-2731 ICRANet, Yerevan Armenian MAGIC Group: ICRANet-Armenia, 0019 Yerevan, Armenia Saito, T. ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Satalecka, K. ROR:https://ror.org/05vghhr25 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, University of Turku, FI-20014 Turku, Finland Saturni, F.G. ORCID:0000-0002-1946-7706 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Schleicher, B. ROR:https://ror.org/00fbnyb24 Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Schmidt, K. ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Schmuckermaier, F. ORCID:0000-0003-2089-0277 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Max-Planck-Institut für Physik, D-80805 München, Germany Schubert, J.L. ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Schweizer, T. ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Max-Planck-Institut für Physik, D-80805 München, Germany Sciaccaluga, A. ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Sitarek, J. ORCID:0000-0002-1659-5374 ROR:https://ror.org/05cq64r17 Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Sliusar, V. ORCID:0000-0002-4387-9372 ROR:https://ror.org/01swzsf04 Geneva U. University of Geneva, Chemin d'Ecogia 16, CH-1290 Versoix, Switzerland Sobczynska, D. ORCID:0000-0003-4973-7903 ROR:https://ror.org/05cq64r17 Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Spolon, A. INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Stamerra, A. ORCID:0000-0002-9430-5264 ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Strišković, J. ORCID:0000-0003-2902-5044 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Croatian MAGIC Group: Josip Juraj Strossmayer University of Osijek, Department of Physics, 31000 Osijek, Croatia Strom, D. ORCID:0000-0003-2108-3311 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Max-Planck-Institut für Physik, D-80805 München, Germany Strzys, M. ORCID:0000-0001-5049-1045 ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Suda, Y. ORCID:0000-0002-2692-5891 ROR:https://ror.org/03t78wx29 Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan Suutarinen, S. ROR:https://ror.org/05vghhr25 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, University of Turku, FI-20014 Turku, Finland Tajima, H. ROR:https://ror.org/04chrp450 KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, 464-6801 Nagoya, Japan Takahashi, M. ORCID:0000-0002-0574-6018 ROR:https://ror.org/04chrp450 KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, 464-6801 Nagoya, Japan Takeishi, R. ORCID:0000-0001-6335-5317 ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Tavecchio, F. ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Temnikov, P. ORCID:0000-0002-9559-3384 ROR:https://ror.org/0276rjc88 Sofiya, Inst. Nucl. Res. Inst. for Nucl. Research and Nucl. Energy, Bulgarian Academy of Sciences, BG-1784 Sofia, Bulgaria Terauchi, K. ROR:https://ror.org/02kpeqv85 Kyoto U. Japanese MAGIC Group: Department of Physics, Kyoto University, 606-8502 Kyoto, Japan Terzić, T. ORCID:0000-0002-4209-3407 ROR:https://ror.org/05r8dqr10 Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Teshima, M. ROR:https://ror.org/0079jjr10 ROR:https://ror.org/008td3p62 Munich, Max Planck Inst. Tokyo U., ICRR Max-Planck-Institut für Physik, D-80805 München, Germany Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Tosti, L. ROR:https://ror.org/05478fx36 INFN, Perugia INFN MAGIC Group: INFN Sezione di Perugia, I-06123 Perugia, Italy Truzzi, S. ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Tutone, A. ORCID:0000-0002-2840-0001 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Ubach, S. ORCID:0000-0002-6159-5883 ROR:https://ror.org/052g8jq94 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain van Scherpenberg, J. ORCID:0000-0002-6173-867X ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Max-Planck-Institut für Physik, D-80805 München, Germany Vazquez Acosta, M. ORCID:0000-0002-2409-9792 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Ventura, S. ORCID:0000-0001-7065-5342 ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Verguilov, V. ROR:https://ror.org/0276rjc88 Sofiya, Inst. Nucl. Res. Inst. for Nucl. Research and Nucl. Energy, Bulgarian Academy of Sciences, BG-1784 Sofia, Bulgaria Viale, I. ORCID:0000-0001-5031-5930 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Vigorito, C.F. ORCID:0000-0002-0069-9195 ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Vitale, V. ORCID:0000-0001-8040-7852 ROR:https://ror.org/025rrx658 INFN, Rome2 INFN MAGIC Group: INFN Roma Tor Vergata, I-00133 Roma, Italy Vovk, I. ORCID:0000-0003-3444-3830 ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Walter, R. ROR:https://ror.org/01swzsf04 Geneva U. University of Geneva, Chemin d'Ecogia 16, CH-1290 Versoix, Switzerland Will, M. ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Max-Planck-Institut für Physik, D-80805 München, Germany Wunderlich, C. ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Yamamoto, T. Konan U. Japanese MAGIC Group: Department of Physics, Konan University, Kobe, Hyogo 658-8501, Japan Acharyya, A. ORCID:0000-0002-2028-9230 ROR:https://ror.org/03yrrjy16 Southern Denmark U., CP3-Origins CP3-Origins, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark Adams, C.B. ORCID:0000-0002-9021-6192 ROR:https://ror.org/00hj8s172 ROR:https://ror.org/00hj8s172 Columbia U. Columbia U., Astron. Astrophys. Physics Department, Columbia University, New York, NY 10027, U.S.A. Archer, A. DePauw U. Department of Physics and Astronomy, DePauw University, Greencastle, IN 46135-0037, U.S.A. Bangale, P. ORCID:0000-0002-3886-3739 ROR:https://ror.org/01sbq1a82 Delaware U. Department of Physics and Astronomy and the Bartol Research Institute, University of Delaware, Newark, DE 19716, U.S.A. Bartkoske, J.T. ORCID:0000-0002-9675-7328 ROR:https://ror.org/03r0ha626 Utah U. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, U.S.A. Batista, P. ROR:https://ror.org/01js2sh04 DESY, Zeuthen DESY, Platanenallee 6, 15738 Zeuthen, Germany Benbow, W. ORCID:0000-0003-2098-170X ROR:https://ror.org/03vek6s52 Harvard U. Center for Astrophysics | Harvard & Smithsonian, Cambridge, MA 02138, U.S.A. Buckley, J.H. ORCID:0000-0001-6391-9661 ROR:https://ror.org/01yc7t268 Washington U., St. Louis Department of Physics, Washington University, St. Louis, MO 63130, U.S.A. Chen, Y. ORCID:0009-0001-5719-936X ROR:https://ror.org/046rm7j60 UCLA Department of Physics and Astronomy, University of California, Los Angeles, CA 90095, U.S.A. Christiansen, J.L. ORCID:0000-0001-5811-9678 Unlisted Physics Department, California Polytechnic State University, San Luis Obispo, CA 94307, U.S.A. Chromey, A.J. ROR:https://ror.org/03vek6s52 Harvard U. Center for Astrophysics | Harvard & Smithsonian, Cambridge, MA 02138, U.S.A. Errando, M. ORCID:0000-0002-1853-863X ROR:https://ror.org/01yc7t268 Washington U., St. Louis Department of Physics, Washington University, St. Louis, MO 63130, U.S.A. Escobar Godoy, M. ROR:https://ror.org/03s65by71 UC, Santa Cruz, Inst. Part. Phys. Santa Cruz Institute for Particle Physics and Department of Physics, University of California, Santa Cruz, CA 95064, U.S.A. Falcone, A. ORCID:0000-0002-5068-7344 ROR:https://ror.org/04p491231 Penn State U., Astron. Astrophys. Department of Astronomy and Astrophysics, 525 Davey Lab, Pennsylvania State University, University Park, PA 16802, U.S.A. Feldman, S. ROR:https://ror.org/046rm7j60 UCLA Department of Physics and Astronomy, University of California, Los Angeles, CA 90095, U.S.A. Feng, Q. ORCID:0000-0001-6674-4238 ROR:https://ror.org/03r0ha626 Utah U. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, U.S.A. Finley, J.P. ROR:https://ror.org/02dqehb95 Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, U.S.A. Foote, G.M. ORCID:0000-0002-2944-6060 ROR:https://ror.org/01sbq1a82 Delaware U. Department of Physics and Astronomy and the Bartol Research Institute, University of Delaware, Newark, DE 19716, U.S.A. Fortson, L. ORCID:0000-0002-1067-8558 ROR:https://ror.org/017zqws13 Minnesota U. School of Physics and Astronomy, University of Minnesota, Minneapolis, MN 55455, U.S.A. Furniss, A. ORCID:0000-0003-1614-1273 ROR:https://ror.org/03s65by71 UC, Santa Cruz, Inst. Part. Phys. Santa Cruz Institute for Particle Physics and Department of Physics, University of California, Santa Cruz, CA 95064, U.S.A. Gallagher, G. ROR:https://ror.org/05ect4e57 Louisiana State U. Department of Physics and Astronomy, Ball State University, Muncie, IN 47306, U.S.A. Giuri, C. chiara.giuri@desy.de ROR:https://ror.org/01js2sh04 DESY, Zeuthen DESY, Platanenallee 6, 15738 Zeuthen, Germany Hanlon, W. ORCID:0000-0002-0109-4737 ROR:https://ror.org/03vek6s52 Harvard U. Center for Astrophysics | Harvard & Smithsonian, Cambridge, MA 02138, U.S.A. Hervet, O. ORCID:0000-0003-3878-1677 ROR:https://ror.org/03s65by71 UC, Santa Cruz, Inst. Part. Phys. Santa Cruz Institute for Particle Physics and Department of Physics, University of California, Santa Cruz, CA 95064, U.S.A. Hinrichs, C.E. ORCID:0000-0001-6951-2299 ROR:https://ror.org/03vek6s52 ROR:https://ror.org/049s0rh22 Harvard U. Dartmouth Coll. Center for Astrophysics | Harvard & Smithsonian, Cambridge, MA 02138, U.S.A. Department of Physics and Astronomy, Dartmouth College, 6127 Wilder Laboratory, Hanover, NH 03755 U.S.A. Hoang, J. ROR:https://ror.org/03s65by71 UC, Santa Cruz, Inst. Part. Phys. Santa Cruz Institute for Particle Physics and Department of Physics, University of California, Santa Cruz, CA 95064, U.S.A. Holder, J. ORCID:0000-0002-6833-0474 ROR:https://ror.org/01sbq1a82 Delaware U. Department of Physics and Astronomy and the Bartol Research Institute, University of Delaware, Newark, DE 19716, U.S.A. Hughes, Z. ROR:https://ror.org/01yc7t268 Washington U., St. Louis Department of Physics, Washington University, St. Louis, MO 63130, U.S.A. Humensky, T.B. ORCID:0000-0002-1432-7771 ROR:https://ror.org/047s2c258 ROR:https://ror.org/0171mag52 Maryland U. NASA, Goddard Department of Physics, University of Maryland, College Park, MD, U.S.A. NASA GSFC, Greenbelt, MD 20771, U.S.A. Jin, W. ORCID:0000-0002-1089-1754 ROR:https://ror.org/046rm7j60 UCLA Department of Physics and Astronomy, University of California, Los Angeles, CA 90095, U.S.A. Johnson, M.N. ORCID:0009-0008-2688-0815 ROR:https://ror.org/03s65by71 UC, Santa Cruz, Inst. Part. Phys. Santa Cruz Institute for Particle Physics and Department of Physics, University of California, Santa Cruz, CA 95064, U.S.A. Kaaret, P. ORCID:0000-0002-3638-0637 ROR:https://ror.org/036jqmy94 Iowa U. Department of Physics and Astronomy, University of Iowa, Van Allen Hall, Iowa City, IA 52242, U.S.A. Kertzman, M. DePauw U. Department of Physics and Astronomy, DePauw University, Greencastle, IN 46135-0037, U.S.A. Kherlakian, M. ROR:https://ror.org/04tsk2644 Ruhr U., Astron. Inst. Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany Kieda, D. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03r0ha626 INFN, Pisa Utah U. Università di Pisa and Istituto Nazionale di Fisica Nucleare,Sezione di Pisa I-56127 Pisa,Italy Department of Physics and Astronomy,University of Utah,Salt Lake City,UT 84112,USA Kleiner, T.K. ORCID:0000-0002-4260-9186 ROR:https://ror.org/01js2sh04 DESY, Zeuthen DESY, Platanenallee 6, 15738 Zeuthen, Germany Korzoun, N. ORCID:0000-0002-4289-7106 ROR:https://ror.org/01sbq1a82 Delaware U. Department of Physics and Astronomy and the Bartol Research Institute, University of Delaware, Newark, DE 19716, U.S.A. Krennrich, F. ROR:https://ror.org/04rswrd78 Iowa State U. Department of Physics and Astronomy, Iowa State University, Ames, IA 50011, U.S.A. Kumar, S. ORCID:0000-0002-5167-1221 ROR:https://ror.org/047s2c258 Maryland U. Department of Physics, University of Maryland, College Park, MD, U.S.A. Lundy, M. ORCID:0000-0003-3802-1619 ROR:https://ror.org/01pxwe438 McGill U. Physics Department, McGill University, Montreal, QC H3A 2T8, Canada Maier, G. ORCID:0000-0001-9868-4700 ROR:https://ror.org/01js2sh04 DESY, Zeuthen DESY, Platanenallee 6, 15738 Zeuthen, Germany McGrath, C.E. ROR:https://ror.org/05m7pjf47 University Coll., Dublin School of Physics, University College Dublin, Belfield, Dublin 4, Ireland Millard, M.J. ORCID:0000-0001-7106-8502 ROR:https://ror.org/036jqmy94 Iowa U. Department of Physics and Astronomy, University of Iowa, Van Allen Hall, Iowa City, IA 52242, U.S.A. Millis, J. ROR:https://ror.org/05ect4e57 Louisiana State U. Department of Physics and Astronomy, Ball State University, Muncie, IN 47306, U.S.A. Mooney, C.L. ORCID:0000-0001-5937-446X ROR:https://ror.org/01sbq1a82 Delaware U. Department of Physics and Astronomy and the Bartol Research Institute, University of Delaware, Newark, DE 19716, U.S.A. Moriarty, P. ORCID:0000-0002-1499-2667 Natl. U. of Ireland, Galway School of Natural Sciences, University of Galway, University Road, Galway, H91 TK33, Ireland Mukherjee, R. ORCID:0000-0002-3223-0754 Barnard Coll. Department of Physics and Astronomy, Barnard College, Columbia University, NY 10027, U.S.A. Nieto, D. ORCID:0000-0003-3343-0755 ROR:https://ror.org/02p0gd045 Madrid U. Institute of Particle and Cosmos Physics, Universidad Complutense de Madrid, 28040 Madrid, Spain O'Brien, S. ORCID:0000-0002-9296-2981 ROR:https://ror.org/01pxwe438 ROR:https://ror.org/02y72wh86 McGill U. Queen's U., Kingston Physics Department, McGill University, Montreal, QC H3A 2T8, Canada Arthur B. McDonald Canadian Astroparticle Physics Research Institute, 64 Bader Lane, Queen's University, Kingston, ON Canada, K7L 3N6 Ong, R.A. ORCID:0000-0002-4837-5253 ROR:https://ror.org/046rm7j60 UCLA Department of Physics and Astronomy, University of California, Los Angeles, CA 90095, U.S.A. Pohl, M. ORCID:0000-0001-7861-1707 ROR:https://ror.org/03sry2h30 ROR:https://ror.org/01js2sh04 Potsdam, Max Planck Inst. DESY, Zeuthen Institute of Physics and Astronomy, University of Potsdam, 14476 Potsdam-Golm, Germany DESY, Platanenallee 6, 15738 Zeuthen, Germany Pueschel, E. ORCID:0000-0002-0529-1973 ROR:https://ror.org/04tsk2644 Ruhr U., Astron. Inst. Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany Quinn, J. ORCID:0000-0002-4855-2694 ROR:https://ror.org/05m7pjf47 University Coll., Dublin School of Physics, University College Dublin, Belfield, Dublin 4, Ireland Rabinowitz, P.L. ORCID:0000-0002-5104-5263 ROR:https://ror.org/01yc7t268 Washington U., St. Louis Department of Physics, Washington University, St. Louis, MO 63130, U.S.A. Ragan, K. ORCID:0000-0002-5351-3323 ROR:https://ror.org/01pxwe438 McGill U. Physics Department, McGill University, Montreal, QC H3A 2T8, Canada Reynolds, P.T. University Coll., Cork Department of Physical Sciences, Munster Technological University, Bishopstown, Cork, T12 P928, Ireland Ribeiro, D. ORCID:0000-0002-7523-7366 ROR:https://ror.org/017zqws13 Minnesota U. School of Physics and Astronomy, University of Minnesota, Minneapolis, MN 55455, U.S.A. Roache, E. ROR:https://ror.org/03vek6s52 Harvard U. Center for Astrophysics | Harvard & Smithsonian, Cambridge, MA 02138, U.S.A. Ryan, J.L. ORCID:0000-0001-6662-5925 ROR:https://ror.org/046rm7j60 UCLA Department of Physics and Astronomy, University of California, Los Angeles, CA 90095, U.S.A. Sadeh, I. ORCID:0000-0003-1387-8915 ROR:https://ror.org/01js2sh04 DESY, Zeuthen DESY, Platanenallee 6, 15738 Zeuthen, Germany Saha, L. ORCID:0000-0002-3171-5039 ROR:https://ror.org/03vek6s52 Harvard U. Center for Astrophysics | Harvard & Smithsonian, Cambridge, MA 02138, U.S.A. Santander, M. ROR:https://ror.org/03xrrjk67 Alabama U. Department of Physics and Astronomy, University of Alabama, Tuscaloosa, AL 35487, U.S.A. Sembroski, G.H. ROR:https://ror.org/02dqehb95 Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, U.S.A. Shang, R. ORCID:0000-0002-9856-989X Barnard Coll. Department of Physics and Astronomy, Barnard College, Columbia University, NY 10027, U.S.A. Splettstoesser, M. ORCID:0000-0003-3407-9936 ROR:https://ror.org/03s65by71 UC, Santa Cruz, Inst. Part. Phys. Santa Cruz Institute for Particle Physics and Department of Physics, University of California, Santa Cruz, CA 95064, U.S.A. Tak, D. ORCID:0000-0002-9852-2469 Seoul Natl. U., Dept. Phys. Astron. SNU Astronomy Research Center, Seoul National University, Seoul 08826, Republic of Korea Talluri, A.K. ROR:https://ror.org/017zqws13 Minnesota U. School of Physics and Astronomy, University of Minnesota, Minneapolis, MN 55455, U.S.A. Tucci, J.V. Indiana U.-Purdue U., Indianapolis Department of Physics, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, U.S.A. Vassiliev, V.V. ROR:https://ror.org/046rm7j60 UCLA Department of Physics and Astronomy, University of California, Los Angeles, CA 90095, U.S.A. Weinstein, A. ROR:https://ror.org/04rswrd78 Iowa State U. Department of Physics and Astronomy, Iowa State University, Ames, IA 50011, U.S.A. Williams, D.A. ORCID:0000-0003-2740-9714 ROR:https://ror.org/03s65by71 UC, Santa Cruz, Inst. Part. Phys. Santa Cruz Institute for Particle Physics and Department of Physics, University of California, Santa Cruz, CA 95064, U.S.A. Wong, S.L. ORCID:0000-0002-2730-2733 ROR:https://ror.org/01pxwe438 McGill U. Physics Department, McGill University, Montreal, QC H3A 2T8, Canada Fermi-LAT Collaboration HAWC Collaboration H.E.S.S. Collaboration MAGIC Collaboration VERITAS Collaboration 035 JCAP 2603 2026 2778655 79967 http://cds.cern.ch/record/2942365/files/Annihilation_mumu_Bonnivard_Combination_bands.png 00013 Same as Fig.~\ref{fig:limits-geringer-sameth}, using the set of $J$-factors from~\cite{2015MNRAS.446.3002B,2015MNRAS.453..849B} ($\mathcal{B}$ set in Table~\ref{tab:j-factor}). 2778656 33420 http://cds.cern.ch/record/2942365/files/BootesI.png 00016 Comparisons between the $J$-factors used for this study versus the angular radius. Computed $J$-factors from~\cite{2015ApJ...801...74G} ($\mathcal{GS}$ set in Table~\ref{tab:j-factor}) are extended up to the outermost visible star and are in blue. The $J$-factors computed from~\cite{2015MNRAS.446.3002B,2015MNRAS.453..849B} ($\mathcal{B}$ set in Table~\ref{tab:j-factor}) are extended up to the tidal radius of the dwarfs and are in orange. The solid lines represent the most probable value of the $J$-factors while the shaded regions correspond to the 1$\sigma$ standard deviation. 2778657 105826 http://cds.cern.ch/record/2942365/files/Annihilation_tt_Bonnivard_Combination_bands.png 00009 Same as Fig.~\ref{fig:limits-geringer-sameth}, using the set of $J$-factors from~\cite{2015MNRAS.446.3002B,2015MNRAS.453..849B} ($\mathcal{B}$ set in Table~\ref{tab:j-factor}). 2778658 31198 http://cds.cern.ch/record/2942365/files/Carina.png 00019 Comparisons between the $J$-factors used for this study versus the angular radius. Computed $J$-factors from~\cite{2015ApJ...801...74G} ($\mathcal{GS}$ set in Table~\ref{tab:j-factor}) are extended up to the outermost visible star and are in blue. The $J$-factors computed from~\cite{2015MNRAS.446.3002B,2015MNRAS.453..849B} ($\mathcal{B}$ set in Table~\ref{tab:j-factor}) are extended up to the tidal radius of the dwarfs and are in orange. The solid lines represent the most probable value of the $J$-factors while the shaded regions correspond to the 1$\sigma$ standard deviation. 2778659 32253 http://cds.cern.ch/record/2942365/files/UrsaMinor.png 00035 Continuation of Fig.~\ref{fig:comparison-j-factors-1}. 2778660 174542 http://cds.cern.ch/record/2942365/files/DM_spectra_examples.png 00015 Differential photon yield per DM annihilation into SM pairs $ b\bar{b} $ (blue), $ e^{+}e^{-} $ (indigo), $ \mu^{+}\mu^{-} $ (light green), $ \tau^{+}\tau^{-} $ (dark green), $ ZZ $ (orange), $ W^{+}W^{-} $ (magenta), and $ t\bar{t} $ (red) for DM masses of 10 GeV (dotted), 1 TeV (dashed), and 100 TeV (solid). The approximate energy ranges of the gamma-ray instruments using in this work (see Section~\ref{sec:experiments}) are depicted at the top of the figure. 2778661 117770 http://cds.cern.ch/record/2942365/files/Annihilation_ee_Geringer-Sameth_Combination_bands.png 00005 Upper limits at 95\% confidence level on $\sv$ as a function of the DM mass for seven annihilation channels, using the set of $J$-factors from~\cite{2015ApJ...801...74G} ($\mathcal{GS}$ set in Table~\ref{tab:j-factor}). The black solid line represents the observed combined limits obtained for the 20 dSphs included in this work, the blue dashed line is the median of the null hypothesis (H$_0$) corresponding to the expected limits with no DM signal ($\langle \sigma v \rangle = 0 $), while the green and yellow bands show the 68\% and 95\% containment bands. Upper limits for each individual instrument are also indicated. The value of the thermal relic cross section as a function of the DM mass is given as the gray dotted-dashed line~\cite{2012PhRvD..86b3506S}. 2778662 120919 http://cds.cern.ch/record/2942365/files/Annihilation_ee_Bonnivard_Combination_bands.png 00012 Same as Fig.~\ref{fig:limits-geringer-sameth}, using the set of $J$-factors from~\cite{2015MNRAS.446.3002B,2015MNRAS.453..849B} ($\mathcal{B}$ set in Table~\ref{tab:j-factor}). 2778663 31491 http://cds.cern.ch/record/2942365/files/Segue1.png 00030 Continuation of Fig.~\ref{fig:comparison-j-factors-1}. 2778664 31376 http://cds.cern.ch/record/2942365/files/Segue2.png 00031 Continuation of Fig.~\ref{fig:comparison-j-factors-1}. 2778665 32609 http://cds.cern.ch/record/2942365/files/CanesVenaticiI.png 00017 Comparisons between the $J$-factors used for this study versus the angular radius. Computed $J$-factors from~\cite{2015ApJ...801...74G} ($\mathcal{GS}$ set in Table~\ref{tab:j-factor}) are extended up to the outermost visible star and are in blue. The $J$-factors computed from~\cite{2015MNRAS.446.3002B,2015MNRAS.453..849B} ($\mathcal{B}$ set in Table~\ref{tab:j-factor}) are extended up to the tidal radius of the dwarfs and are in orange. The solid lines represent the most probable value of the $J$-factors while the shaded regions correspond to the 1$\sigma$ standard deviation. 2778666 113693 http://cds.cern.ch/record/2942365/files/Annihilation_bb_Bonnivard_Combination_bands.png 00008 Same as Fig.~\ref{fig:limits-geringer-sameth}, using the set of $J$-factors from~\cite{2015MNRAS.446.3002B,2015MNRAS.453..849B} ($\mathcal{B}$ set in Table~\ref{tab:j-factor}). 2778667 109732 http://cds.cern.ch/record/2942365/files/Annihilation_WW_Geringer-Sameth_Combination_bands.png 00003 Upper limits at 95\% confidence level on $\sv$ as a function of the DM mass for seven annihilation channels, using the set of $J$-factors from~\cite{2015ApJ...801...74G} ($\mathcal{GS}$ set in Table~\ref{tab:j-factor}). The black solid line represents the observed combined limits obtained for the 20 dSphs included in this work, the blue dashed line is the median of the null hypothesis (H$_0$) corresponding to the expected limits with no DM signal ($\langle \sigma v \rangle = 0 $), while the green and yellow bands show the 68\% and 95\% containment bands. Upper limits for each individual instrument are also indicated. The value of the thermal relic cross section as a function of the DM mass is given as the gray dotted-dashed line~\cite{2012PhRvD..86b3506S}. 2778668 113276 http://cds.cern.ch/record/2942365/files/Annihilation_bb_Geringer-Sameth_Combination_bands.png 00001 Upper limits at 95\% confidence level on $\sv$ as a function of the DM mass for seven annihilation channels, using the set of $J$-factors from~\cite{2015ApJ...801...74G} ($\mathcal{GS}$ set in Table~\ref{tab:j-factor}). The black solid line represents the observed combined limits obtained for the 20 dSphs included in this work, the blue dashed line is the median of the null hypothesis (H$_0$) corresponding to the expected limits with no DM signal ($\langle \sigma v \rangle = 0 $), while the green and yellow bands show the 68\% and 95\% containment bands. Upper limits for each individual instrument are also indicated. The value of the thermal relic cross section as a function of the DM mass is given as the gray dotted-dashed line~\cite{2012PhRvD..86b3506S}. 2778669 32539 http://cds.cern.ch/record/2942365/files/Fornax.png 00022 Comparisons between the $J$-factors used for this study versus the angular radius. Computed $J$-factors from~\cite{2015ApJ...801...74G} ($\mathcal{GS}$ set in Table~\ref{tab:j-factor}) are extended up to the outermost visible star and are in blue. The $J$-factors computed from~\cite{2015MNRAS.446.3002B,2015MNRAS.453..849B} ($\mathcal{B}$ set in Table~\ref{tab:j-factor}) are extended up to the tidal radius of the dwarfs and are in orange. The solid lines represent the most probable value of the $J$-factors while the shaded regions correspond to the 1$\sigma$ standard deviation. 2778670 109538 http://cds.cern.ch/record/2942365/files/Annihilation_ZZ_Geringer-Sameth_Combination_bands.png 00004 Upper limits at 95\% confidence level on $\sv$ as a function of the DM mass for seven annihilation channels, using the set of $J$-factors from~\cite{2015ApJ...801...74G} ($\mathcal{GS}$ set in Table~\ref{tab:j-factor}). The black solid line represents the observed combined limits obtained for the 20 dSphs included in this work, the blue dashed line is the median of the null hypothesis (H$_0$) corresponding to the expected limits with no DM signal ($\langle \sigma v \rangle = 0 $), while the green and yellow bands show the 68\% and 95\% containment bands. Upper limits for each individual instrument are also indicated. The value of the thermal relic cross section as a function of the DM mass is given as the gray dotted-dashed line~\cite{2012PhRvD..86b3506S}. 2778671 32524 http://cds.cern.ch/record/2942365/files/Sculptor.png 00029 Continuation of Fig.~\ref{fig:comparison-j-factors-1}. 2778672 32084 http://cds.cern.ch/record/2942365/files/CanesVenaticiII.png 00018 Comparisons between the $J$-factors used for this study versus the angular radius. Computed $J$-factors from~\cite{2015ApJ...801...74G} ($\mathcal{GS}$ set in Table~\ref{tab:j-factor}) are extended up to the outermost visible star and are in blue. The $J$-factors computed from~\cite{2015MNRAS.446.3002B,2015MNRAS.453..849B} ($\mathcal{B}$ set in Table~\ref{tab:j-factor}) are extended up to the tidal radius of the dwarfs and are in orange. The solid lines represent the most probable value of the $J$-factors while the shaded regions correspond to the 1$\sigma$ standard deviation. 2778673 34399 http://cds.cern.ch/record/2942365/files/Sextans.png 00032 Continuation of Fig.~\ref{fig:comparison-j-factors-1}. 2778674 31529 http://cds.cern.ch/record/2942365/files/LeoI.png 00024 Comparisons between the $J$-factors used for this study versus the angular radius. Computed $J$-factors from~\cite{2015ApJ...801...74G} ($\mathcal{GS}$ set in Table~\ref{tab:j-factor}) are extended up to the outermost visible star and are in blue. The $J$-factors computed from~\cite{2015MNRAS.446.3002B,2015MNRAS.453..849B} ($\mathcal{B}$ set in Table~\ref{tab:j-factor}) are extended up to the tidal radius of the dwarfs and are in orange. The solid lines represent the most probable value of the $J$-factors while the shaded regions correspond to the 1$\sigma$ standard deviation. 2778675 39719 http://cds.cern.ch/record/2942365/files/Combined_exp_technique_20TeV_4exp_J_with_without_nuisance.png 00000 Illustration of a real data combination showing a comparison between $\mathrm{TS}$ provided by four instruments (non-solid colored lines) from the observation of the same dSph without any $J$-factor nuisance parameter included and their sum, i.e. the resulting combined likelihood (thin black line), for a DM particle mass of 20~TeV. The intersection of the likelihood profiles with the line $\mathrm{TS}$ = 2.71 indicates the 95\% C.L. upper limit on $\langle \sigma v \rangle$ (see text for more details). The combined likelihood (thin black line) shows a smaller value of upper limit on $\langle \sigma v \rangle$ than those derived by individual instruments. We also show how the uncertainty on the $J$-factor affects the combined likelihood and degrades the upper limit on $\langle \sigma v \rangle$ (thick black line). All likelihood profiles are normalized so that the global minimum $\widehat{\langle \sigma v \rangle}$ is 0 to facilitate data handling. We note that each profile depends on the observational conditions under which a target object was observed. The sensitivity of a given instrument can be degraded and the upper limits less constraining if the observations suffer from non-optimal conditions such as a large zenith angle of observation or a short exposure time. 2778676 109633 http://cds.cern.ch/record/2942365/files/Annihilation_ZZ_Bonnivard_Combination_bands.png 00011 Same as Fig.~\ref{fig:limits-geringer-sameth}, using the set of $J$-factors from~\cite{2015MNRAS.446.3002B,2015MNRAS.453..849B} ($\mathcal{B}$ set in Table~\ref{tab:j-factor}). 2778677 104771 http://cds.cern.ch/record/2942365/files/Annihilation_tt_Geringer-Sameth_Combination_bands.png 00002 Upper limits at 95\% confidence level on $\sv$ as a function of the DM mass for seven annihilation channels, using the set of $J$-factors from~\cite{2015ApJ...801...74G} ($\mathcal{GS}$ set in Table~\ref{tab:j-factor}). The black solid line represents the observed combined limits obtained for the 20 dSphs included in this work, the blue dashed line is the median of the null hypothesis (H$_0$) corresponding to the expected limits with no DM signal ($\langle \sigma v \rangle = 0 $), while the green and yellow bands show the 68\% and 95\% containment bands. Upper limits for each individual instrument are also indicated. The value of the thermal relic cross section as a function of the DM mass is given as the gray dotted-dashed line~\cite{2012PhRvD..86b3506S}. 2778678 29309 http://cds.cern.ch/record/2942365/files/LeoV.png 00027 Continuation of Fig.~\ref{fig:comparison-j-factors-1}. 2778679 33085 http://cds.cern.ch/record/2942365/files/ComaBerenices.png 00020 Comparisons between the $J$-factors used for this study versus the angular radius. Computed $J$-factors from~\cite{2015ApJ...801...74G} ($\mathcal{GS}$ set in Table~\ref{tab:j-factor}) are extended up to the outermost visible star and are in blue. The $J$-factors computed from~\cite{2015MNRAS.446.3002B,2015MNRAS.453..849B} ($\mathcal{B}$ set in Table~\ref{tab:j-factor}) are extended up to the tidal radius of the dwarfs and are in orange. The solid lines represent the most probable value of the $J$-factors while the shaded regions correspond to the 1$\sigma$ standard deviation. 2778680 118804 http://cds.cern.ch/record/2942365/files/Annihilation_tautau_Bonnivard_Combination_bands.png 00014 Same as Fig.~\ref{fig:limits-geringer-sameth}, using the set of $J$-factors from~\cite{2015MNRAS.446.3002B,2015MNRAS.453..849B} ($\mathcal{B}$ set in Table~\ref{tab:j-factor}). 2778681 111970 http://cds.cern.ch/record/2942365/files/Annihilation_WW_Bonnivard_Combination_bands.png 00010 Same as Fig.~\ref{fig:limits-geringer-sameth}, using the set of $J$-factors from~\cite{2015MNRAS.446.3002B,2015MNRAS.453..849B} ($\mathcal{B}$ set in Table~\ref{tab:j-factor}). 2778682 78268 http://cds.cern.ch/record/2942365/files/Annihilation_mumu_Geringer-Sameth_Combination_bands.png 00006 Upper limits at 95\% confidence level on $\sv$ as a function of the DM mass for seven annihilation channels, using the set of $J$-factors from~\cite{2015ApJ...801...74G} ($\mathcal{GS}$ set in Table~\ref{tab:j-factor}). The black solid line represents the observed combined limits obtained for the 20 dSphs included in this work, the blue dashed line is the median of the null hypothesis (H$_0$) corresponding to the expected limits with no DM signal ($\langle \sigma v \rangle = 0 $), while the green and yellow bands show the 68\% and 95\% containment bands. Upper limits for each individual instrument are also indicated. The value of the thermal relic cross section as a function of the DM mass is given as the gray dotted-dashed line~\cite{2012PhRvD..86b3506S}. 2778683 29764 http://cds.cern.ch/record/2942365/files/LeoII.png 00025 Comparisons between the $J$-factors used for this study versus the angular radius. Computed $J$-factors from~\cite{2015ApJ...801...74G} ($\mathcal{GS}$ set in Table~\ref{tab:j-factor}) are extended up to the outermost visible star and are in blue. The $J$-factors computed from~\cite{2015MNRAS.446.3002B,2015MNRAS.453..849B} ($\mathcal{B}$ set in Table~\ref{tab:j-factor}) are extended up to the tidal radius of the dwarfs and are in orange. The solid lines represent the most probable value of the $J$-factors while the shaded regions correspond to the 1$\sigma$ standard deviation. 2778684 2749500 http://cds.cern.ch/record/2942365/files/2508.20229.pdf Fulltext 2778685 118128 http://cds.cern.ch/record/2942365/files/Annihilation_tautau_Geringer-Sameth_Combination_bands.png 00007 Upper limits at 95\% confidence level on $\sv$ as a function of the DM mass for seven annihilation channels, using the set of $J$-factors from~\cite{2015ApJ...801...74G} ($\mathcal{GS}$ set in Table~\ref{tab:j-factor}). The black solid line represents the observed combined limits obtained for the 20 dSphs included in this work, the blue dashed line is the median of the null hypothesis (H$_0$) corresponding to the expected limits with no DM signal ($\langle \sigma v \rangle = 0 $), while the green and yellow bands show the 68\% and 95\% containment bands. Upper limits for each individual instrument are also indicated. The value of the thermal relic cross section as a function of the DM mass is given as the gray dotted-dashed line~\cite{2012PhRvD..86b3506S}. 2778686 31775 http://cds.cern.ch/record/2942365/files/Hercules.png 00023 Comparisons between the $J$-factors used for this study versus the angular radius. Computed $J$-factors from~\cite{2015ApJ...801...74G} ($\mathcal{GS}$ set in Table~\ref{tab:j-factor}) are extended up to the outermost visible star and are in blue. The $J$-factors computed from~\cite{2015MNRAS.446.3002B,2015MNRAS.453..849B} ($\mathcal{B}$ set in Table~\ref{tab:j-factor}) are extended up to the tidal radius of the dwarfs and are in orange. The solid lines represent the most probable value of the $J$-factors while the shaded regions correspond to the 1$\sigma$ standard deviation. 2778687 30959 http://cds.cern.ch/record/2942365/files/LeoIV.png 00026 Continuation of Fig.~\ref{fig:comparison-j-factors-1}. 2778688 33284 http://cds.cern.ch/record/2942365/files/UrsaMajorII.png 00034 Continuation of Fig.~\ref{fig:comparison-j-factors-1}. 2778689 31873 http://cds.cern.ch/record/2942365/files/UrsaMajorI.png 00033 Continuation of Fig.~\ref{fig:comparison-j-factors-1}. 2778690 28723 http://cds.cern.ch/record/2942365/files/LeoT.png 00028 Continuation of Fig.~\ref{fig:comparison-j-factors-1}. 2778691 34259 http://cds.cern.ch/record/2942365/files/Draco.png 00021 Comparisons between the $J$-factors used for this study versus the angular radius. Computed $J$-factors from~\cite{2015ApJ...801...74G} ($\mathcal{GS}$ set in Table~\ref{tab:j-factor}) are extended up to the outermost visible star and are in blue. The $J$-factors computed from~\cite{2015MNRAS.446.3002B,2015MNRAS.453..849B} ($\mathcal{B}$ set in Table~\ref{tab:j-factor}) are extended up to the tidal radius of the dwarfs and are in orange. The solid lines represent the most probable value of the $J$-factors while the shaded regions correspond to the 1$\sigma$ standard deviation. 2828029 5278426 http://cds.cern.ch/record/2942365/files/document.pdf Fulltext 13 ARTICLE DELETED 2941889 20260320001820.0 oai:cds.cern.ch:2941889 cerncds:CONF cerncds:TALK INSPIRE-CNUM C25-09-15.8 eng 20250915 17th Topical Seminar on Innovative Particle and Radiation Detectors Siena, It 15 - 19 Sep 2025 2025 siena20250915 17 ? 20250919 2025 Organisers: Carlo Battilana (University of Bologna) e-mail: carlo.battilana(at)bo.infn.it; Paolo Brogi (University of Siena) e-mail: paolo.brogi(at)unisi.it; Francesca Romana Cavallo (INFN Bologna) e-mail: francesca.cavallo(at)bo.infn.it; Giovanna Lehmann (CERN) e-mail: giovanna.lehmann(at)cern.ch; Pier Simone Marrocchesi (University of Siena) e-mail: marrocchesi(at)pi.infn.it; Francesco-Luigi Navarria (University of Bologna) e-mail: navarria(at)bo.infn.it; Marco Paganoni (University of Milano-Bicocca) e-mail: paganoni(at)mib.infn.it; Andrea Perrotta (INFN Bologna) e-mail: perrotta(at)bo.infn.it SzGeCERN Detectors and Experimental Techniques SzGeCERN Conference CERN Tracking detectors CERN Calorimeters CERN Detectors for X and gamma ray astrophysics CERN Cosmic-ray experiments in space, on the earth's surface, and underground CERN Neutrino experiments CERN Radiation-hard detectors and electronics CERN Muon tomography of archeological and geophysical structures CERN Detectors for medicine and biology CERN Large X-ray and muon systems for homeland security control CERN Simulations and new computing methods, including machine learning techniques CERN Detectors for environmental controls CERN Data acquisition and triggering CERN Outreach CONFERENCE PROCEEDINGS CERN EDS Adriani, O ed. Aprile, E ed. Camporesi, T ed. Coutu, S ed. Dalla Betta, G F ed. De Bernardis, P ed. Iuppa, R ed. Lecoq, P ed. Nociforo, C ed. Pastrone, N ed. Sadrozinski, H ed. Savoy Navarro, A ed. Scribano, A ed. Seiden, A ed. Tabarelli de Fatis, T ed. Titov, M ed. Torii, S ed. Wakely, S ed. IPRD25 IPRD 2025 2025 JINST 20-21 https://www.bo.infn.it/sminiato/siena25.html Conference home page https://iopscience.iop.org/collections/jinst-250624-01 e-proceedings federico.lasagni@cern.ch x n 202536 43 PUBLIC 000787767CER PROCEEDINGS 2947451 20260313143949.0 oai:cds.cern.ch:2947451 cerncds:TALK eng Indico 15268 CERN. Geneva CERN for Climate Action - CIPEA 2025 Event CERN - 500/1-001 - Main Auditorium 2025-10-28T16:20:00 2025-10-28T16:35:00 1563324c11 EMP2: Environmental Modelling and Prediction Platform 2025 2025-10-28 1252 Streaming video CIPEA CERN for Climate Action - CIPEA 2025 Event 2025-10-28T16:20:00 CERN 2025 CIPEA Event TALK CERN Luise, Ilaria speaker CERN Di Meglio, Alberto speaker CERN https://indico.cern.ch/event/1563324/contributions/6586054/ Talk details https://indico.cern.ch/event/1563324/ Event details MediaArchive https://lecturemedia.cern.ch/2025/1563324c11/1563324c11-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive /mnt/master_share/master_data/2025/1563324c11 Absolute master path MediaArchive https://lecturemedia.cern.ch/2025/1563324c11/1563324c11-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 229523 MediaArchive https://lecturemedia.cern.ch/2025/1563324c11/1563324c11-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 572642 MediaArchive https://lecturemedia.cern.ch/2025/1563324c11/1563324c11-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 99897 MediaArchive https://lecturemedia.cern.ch/2025/1563324c11/1563324c11-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 944268 MediaArchive https://lecturemedia.cern.ch/2025/1563324c11/1563324c11-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1055881 MediaArchive https://lecturemedia.cern.ch/2025/1563324c11/1563324c11-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 308133 MediaArchive https://lecturemedia.cern.ch/2025/1563324c11/1563324c11-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 92724 MediaArchive https://lecturemedia.cern.ch/2025/1563324c11/1563324c11-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3064668 thomas.rimbot@cern.ch Chesta, Enrico CERN 2025-06-26T15:11:04 2025-10-30T09:28:55 PUBLIC INDICO.1563324c11 https://videos.cern.ch/legacy/record/2947451 Indico TALK MIGRATED 2947249 20251028214927.0 oai:cds.cern.ch:2947249 cerncds:FULLTEXT CERN-PHOTO-202510-235 Cavazza, Marina AUTHOR|(CDS)2836746 marina.cavazza@cern.ch CERN for Climate Action - CIPEA 2025 Event 2025 Geneva CERN 2025-10-28 General Photo public The CERN Innovation Programme on Environmental Applications (CIPEA) is hosting an event to showcase relevant examples of the projects that it supports, from producing low-carbon energy, to making transportation cleaner, to combating climate change and improving products’ sustainability. CERN 2025 CERN EDS PHOTOLAB SzGeCERN Photolab SzGeCERN Communication Communication CERN CERN PHOTO 2791533 44188425 http://cds.cern.ch/record/2947249/files/202510-235-004.jpg 2791534 43063247 http://cds.cern.ch/record/2947249/files/202510-235-013.jpg 2791533 1001664 http://cds.cern.ch/record/2947249/files/202510-235-004.jpg?subformat=icon-1440 icon-1440 2791533 291462 http://cds.cern.ch/record/2947249/files/202510-235-004.jpg?subformat=icon-640 icon-640 2791533 96056 http://cds.cern.ch/record/2947249/files/202510-235-004.jpg?subformat=icon-180 icon-180 2791534 290726 http://cds.cern.ch/record/2947249/files/202510-235-013.jpg?subformat=icon-640 icon-640 2791534 96243 http://cds.cern.ch/record/2947249/files/202510-235-013.jpg?subformat=icon-180 icon-180 2791534 996780 http://cds.cern.ch/record/2947249/files/202510-235-013.jpg?subformat=icon-1440 icon-1440 marina.cavazza@cern.ch richard.warren@cern.ch n 202544 CERN Main Auditorium, Building 500 Richard Warren <richard.warren@cern.ch> 86 PUBLIC VISIBLE PHOTOLABCERN 2947204 SzGeCERN 20260417091056.0 DOI Springer 10.1038/s41467-025-64229-w oai:cds.cern.ch:2947204 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2025-10-28T07:48:29Z marcxml oai:inspirehep.net:3033789 2025-10-27T08:51:30Z Inspire 3033789 eng Russell, Douglas M ORCID:0000-0002-1434-247X russell@iau.uni-frankfurt.de GRID:grid.7839.5 ROR:https://ror.org/04cvxnb49 Goethe U., Frankfurt (main) Springer Isoprene chemistry under upper-tropospheric conditions 2025 14 p Springer Isoprene (C$_{5}$H$_{8}$) is the non-methane hydrocarbon with the highest emissions to the atmosphere. It is mainly produced by vegetation, especially broad-leaved trees, and efficiently transported to the upper troposphere in deep convective clouds, where it is mixed with lightning NO$_{x}$. Isoprene oxidation products drive rapid formation and growth of new particles in the tropical upper troposphere. However, isoprene oxidation pathways at low temperatures are not well understood. Here, in experiments at the CERN CLOUD chamber at 223 K and 243 K, we find that isoprene oxygenated organic molecules (IP-OOM) all involve two successive ${{{\rm{OH}}}}^{\bullet}$ oxidations. However, depending on the ambient concentrations of the termination radicals (${{{{\rm{HO}}}}_{2}}^{\bullet},\,{{{\rm{NO}}}}^{\bullet}$, and ${{{\rm{NO}}}}_{2}^{\bullet}$), vastly-different IP-OOM emerge, comprising compounds with zero, one or two nitrogen atoms. Our findings indicate high IP-OOM production rates for the tropical upper troposphere, mainly resulting in nitrate IP-OOM but with an increasing non-nitrate fraction around midday, in close agreement with aircraft observations. publication CC-BY-4.0 Springer http://creativecommons.org/licenses/by/4.0/ Other The Author(s) publication 2025 SzGeCERN Physics in General ARTICLE CERN Kunkler, Felix ORCID:0009-0001-4168-9137 GRID:grid.419509.0 Mainz, Max Planck Inst. Shen, Jiali ORCID:0000-0001-8701-7929 GRID:grid.7737.4 ROR:https://ror.org/040af2s02 U. Helsinki (main) Helsinki Institute of Physics, University of Helsinki, Helsinki, Finland Kohl, Matthias ORCID:0000-0002-1829-4276 GRID:grid.419509.0 Mainz, Max Planck Inst. DeVivo, Jenna ORCID:0009-0003-5097-1008 GRID:grid.147455.6 ROR:https://ror.org/05x2bcf33 Carnegie Mellon U. (main) Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA, USA Bhattacharyya, Nirvan ORCID:0000-0003-3911-6492 GRID:grid.147455.6 ROR:https://ror.org/05x2bcf33 Carnegie Mellon U. (main) Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA, USA Xenofontos, Christos ORCID:0009-0004-7637-5199 GRID:grid.426429.f ROR:https://ror.org/01q8k8p90 Cyprus Inst. Klebach, Hannah ORCID:0009-0009-7233-6295 GRID:grid.7839.5 ROR:https://ror.org/04cvxnb49 Goethe U., Frankfurt (main) Caudillo-Plath, Lucía GRID:grid.7839.5 ROR:https://ror.org/04cvxnb49 Goethe U., Frankfurt (main) Simon, Mario GRID:grid.7839.5 ROR:https://ror.org/04cvxnb49 Goethe U., Frankfurt (main) Ahongshangbam, Emelda ORCID:0009-0000-0552-6368 GRID:grid.7737.4 ROR:https://ror.org/040af2s02 U. Helsinki (main) Department of Chemistry, University of Helsinki, Helsinki, Finland Almeida, João GRID:grid.9132.9 GRID:grid.9983.b ROR:https://ror.org/01ggx4157 ROR:https://ror.org/01c27hj86 CERN U. Lisbon (main) Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal Amorim, Antonio ORCID:0000-0003-0638-2321 GRID:grid.9983.b GRID:grid.420929.4 ROR:https://ror.org/01c27hj86 ROR:https://ror.org/01hys1667 U. Lisbon (main) LIP Laboratório de Instrumentação e física experimental de Partículas, Lisboa, Portugal Beckmann, Hannah ORCID:0009-0007-9685-5757 GRID:grid.10939.32 ROR:https://ror.org/03z77qz90 Tartu U. Busato, Mattia GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Canagaratna, Manjula R GRID:grid.276808.3 Aerodyne Research, Billerica Chassaing, Anouck ORCID:0009-0002-5478-814X GRID:grid.10548.38 Stockholm U. (main) Cruz-Simbron, Romulo GRID:grid.266190.a ROR:https://ror.org/02ttsq026 U. Colorado, Boulder Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA Dada, Lubna ORCID:0000-0003-1105-9043 GRID:grid.5991.4 ROR:https://ror.org/03eh3y714 PSI, Villigen Holzbeck, Philip ORCID:0009-0008-3912-8235 GRID:grid.419509.0 Mainz, Max Planck Inst. Judmaier, Bernhard GRID:grid.5771.4 ROR:https://ror.org/054pv6659 Innsbruck U. Kaniyodical Sebastian, Milin GRID:grid.7892.4 ROR:https://ror.org/04t3en479 KIT, Karlsruhe Koemets, Paap ORCID:0000-0001-6201-1264 GRID:grid.10939.32 ROR:https://ror.org/03z77qz90 Tartu U. Krüger, Timm GRID:grid.7839.5 ROR:https://ror.org/04t3en479 KIT, Karlsruhe Liu, Lu ORCID:0000-0002-9818-6282 GRID:grid.5991.4 ROR:https://ror.org/03eh3y714 PSI, Villigen Martinez, Monica ORCID:0009-0009-1688-0675 GRID:grid.419509.0 Mainz, Max Planck Inst. Mentler, Bernhard ORCID:0000-0003-3852-0397 GRID:grid.5771.4 ROR:https://ror.org/054pv6659 Innsbruck U. Morawiec, Aleksandra GRID:grid.10420.37 U. Vienna (main) Onnela, Antti GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Petäjä, Tuukka ORCID:0000-0002-1881-9044 GRID:grid.7737.4 ROR:https://ror.org/040af2s02 U. Helsinki (main) Rato, Pedro GRID:grid.7839.5 GRID:grid.9132.9 ROR:https://ror.org/04cvxnb49 ROR:https://ror.org/01ggx4157 Goethe U., Frankfurt (main) CERN CERN, European Organisation for Nuclear Research, Geneva, Switzerland Reza, Mago GRID:grid.266190.a ROR:https://ror.org/02ttsq026 U. Colorado, Boulder Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA Ruhl, Samuel GRID:grid.419509.0 Mainz, Max Planck Inst. Scholz, Wiebke GRID:grid.5771.4 ROR:https://ror.org/054pv6659 Innsbruck U. Sommer, Eva ORCID:0000-0001-7415-8386 GRID:grid.9132.9 GRID:grid.10420.37 ROR:https://ror.org/01ggx4157 CERN U. Vienna (main) Faculty of Physics, University of Vienna, Wien, Austria Tomé, António ORCID:0000-0001-9144-7120 GRID:grid.7427.6 ROR:https://ror.org/03nf36p02 Beira Interior U., Covilha Tong, Yandong GRID:grid.266190.a ROR:https://ror.org/02ttsq026 U. Colorado, Boulder Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA Top, Jens ORCID:0000-0003-3318-4451 GRID:grid.5991.4 ROR:https://ror.org/03eh3y714 PSI, Villigen Umo, Nsikanabasi Silas GRID:grid.7892.4 GRID:grid.217197.b ROR:https://ror.org/04t3en479 KIT, Karlsruhe North Carolina U., Wilmington Department of Chemistry and Biochemistry, University of North Carolina Wilmington, Wilmington, North Carolina, USA Unfer, Gabriela R GRID:grid.424885.7 TROPOS, Leibniz Ward, Ryan X ORCID:0000-0003-2317-3310 GRID:grid.20861.3d ROR:https://ror.org/05dxps055 Caltech, Pasadena (main) Weissbacher, Jakob GRID:grid.5771.4 ROR:https://ror.org/054pv6659 Innsbruck U. Yang, Boxing ORCID:0009-0002-0450-8955 GRID:grid.5991.4 ROR:https://ror.org/03eh3y714 PSI, Villigen Yu, Wenjuan ORCID:0009-0001-1351-7338 GRID:grid.7737.4 ROR:https://ror.org/040af2s02 U. Helsinki (main) Zauner-Wieczorek, Marcel ORCID:0000-0002-0867-665X GRID:grid.7839.5 ROR:https://ror.org/04cvxnb49 Goethe U., Frankfurt (main) Zgheib, Imad ORCID:0009-0002-4510-5036 GRID:grid.426248.e Unlisted, CH Zhang, Jiangyi ORCID:0009-0007-5244-5334 GRID:grid.7737.4 ROR:https://ror.org/040af2s02 U. Helsinki (main) Zheng, Zhensen GRID:grid.5771.4 GRID:grid.425275.3 ROR:https://ror.org/054pv6659 Innsbruck U. Unlisted, AT IONICON Analytik GmbH, Innsbruck, Austria El Haddad, Imad ORCID:0000-0002-2461-7238 GRID:grid.5991.4 ROR:https://ror.org/03eh3y714 PSI, Villigen Flagan, Richard C ORCID:0000-0001-5690-770X GRID:grid.20861.3d ROR:https://ror.org/05dxps055 Caltech, Pasadena (main) Hansel, Armin ORCID:0000-0002-1062-2394 GRID:grid.5771.4 ROR:https://ror.org/054pv6659 Innsbruck U. Junninen, Heikki ORCID:0000-0001-7178-9430 GRID:grid.10939.32 ROR:https://ror.org/03z77qz90 Tartu U. Kulmala, Markku ORCID:0000-0003-3464-7825 GRID:grid.7737.4 GRID:grid.41156.37 GRID:grid.48166.3d ROR:https://ror.org/040af2s02 ROR:https://ror.org/01rxvg760 ROR:https://ror.org/00df5yc52 U. Helsinki (main) Nanjing U. (main) Beijing U. of Chem. Tech. Helsinki Institute of Physics, University of Helsinki, Helsinki, Finland Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China Lehtipalo, Katrianne ORCID:0000-0002-1660-2706 GRID:grid.7737.4 GRID:grid.8657.c ROR:https://ror.org/040af2s02 U. Helsinki (main) Finnish Meteorological Inst. Finnish Meteorological Institute, Helsinki, Finland Lelieveld, Jos ORCID:0000-0001-6307-3846 GRID:grid.419509.0 GRID:grid.426429.f ROR:https://ror.org/01q8k8p90 Mainz, Max Planck Inst. Cyprus Inst. Climate and Atmosphere Research Center (CARE-C), The Cyprus Institute, Nicosia, Cyprus Möhler, Ottmar ORCID:0000-0002-7551-9814 GRID:grid.7892.4 ROR:https://ror.org/04t3en479 KIT, Karlsruhe Schobesberger, Siegfried ORCID:0000-0002-5777-4897 GRID:grid.9668.1 UEF, Kuopio Volkamer, Rainer ORCID:0000-0002-0899-1369 GRID:grid.266190.a ROR:https://ror.org/02ttsq026 U. Colorado, Boulder Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA Winkler, Paul M ORCID:0000-0001-6861-6029 GRID:grid.10420.37 U. Vienna (main) Worsnop, Douglas R ORCID:0000-0002-8928-8017 GRID:grid.7737.4 GRID:grid.276808.3 ROR:https://ror.org/040af2s02 U. Helsinki (main) Aerodyne Research, Billerica Aerodyne Research Inc., Billerica, MA, USA Christoudias, Theodoros ORCID:0000-0001-9050-3880 GRID:grid.426429.f ROR:https://ror.org/01q8k8p90 Cyprus Inst. Pozzer, Andrea ORCID:0000-0003-2440-6104 GRID:grid.419509.0 GRID:grid.426429.f ROR:https://ror.org/01q8k8p90 Mainz, Max Planck Inst. Cyprus Inst. Climate and Atmosphere Research Center (CARE-C), The Cyprus Institute, Nicosia, Cyprus Donahue, Neil M ORCID:0000-0003-3054-2364 GRID:grid.147455.6 ROR:https://ror.org/05x2bcf33 Carnegie Mellon U. (main) Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA, USA Harder, Hartwig ORCID:0000-0002-6868-714X GRID:grid.419509.0 Mainz, Max Planck Inst. Kirkby, Jasper ORCID:0000-0003-2341-9069 GRID:grid.7839.5 GRID:grid.9132.9 ROR:https://ror.org/04cvxnb49 ROR:https://ror.org/01ggx4157 Goethe U., Frankfurt (main) CERN CERN, European Organisation for Nuclear Research, Geneva, Switzerland He, Xu-Cheng ORCID:0000-0002-7416-306X GRID:grid.7737.4 GRID:grid.5335.0 ROR:https://ror.org/040af2s02 ROR:https://ror.org/013meh722 U. Helsinki (main) Cambridge U. (main) Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK Curtius, Joachim ORCID:0000-0003-3153-4630 curtius@iau.uni-frankfurt.de GRID:grid.7839.5 ROR:https://ror.org/04cvxnb49 Goethe U., Frankfurt (main) 8555 1 2025 Nature Commun. 16 2791482 5622891 http://cds.cern.ch/record/2947204/files/document.pdf Fulltext 13 ARTICLE 2946819 20260211041345.0 oai:cds.cern.ch:2946819 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI IOP 10.1088/1748-0221/21/02/C02004 arXiv oai:arXiv.org:2510.04777 oai:inspirehep.net:3063582 https://inspirehep.net/api/oai2d Inspire 2026-02-10T07:56:46Z 2026-02-11T03:00:12Z marcxml true Inspire 3063582 arXiv arXiv:2510.04777 physics.ins-det eng Ahmadi, D. ORCID:0000-0002-9662-2239 Brussels U., IIHE Inter-University Institute for High Energies, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium IOP Performance and long-term aging studies on Eco-Friendly Resistive Plate Chamber detectors 2026-02-04 2025-10-06 10 p IOP Resistive Plate Chambers detectors are extensively used in several domains of Physics. In High Energy Physics, they are typically operated in avalanche mode with a high-performance gas mixture based on Tetrafluoroethane (C2H2F4), a fluorinated high Global Warming Potential greenhouse gas. The RPC EcoGas@GIF++ Collaboration has pursued an intensive R&D activity to search for new gas mixtures with low environmental impact, fulfilling the performance expected for the LHC operations as well as for future and different applications. Here, results obtained with new eco-friendly gas mixtures based on Tetrafluoropropene and carbon dioxide, even under high-irradiation conditions, will be presented. Long-term aging tests carried out at the CERN Gamma Irradiation Facility will be discussed along with their possible limits and future perspectives. arXiv Resistive Plate Chambers detectors are extensively used in several domains of Physics. In High Energy Physics, they are typically operated in avalanche mode with a high-performance gas mixture based on Tetrafluoroethane (C2H2F4), a fluorinated high Global Warming Potential greenhouse gas. The RPC EcoGas@GIF++ Collaboration has pursued an intensive R&D activity to search for new gas mixtures with low environmental impact, fulfilling the performance expected for the LHC operations as well as for future and different applications. Here, results obtained with new eco-friendly gas mixtures based on Tetrafluoropropene and carbon dioxide, even under high-irradiation conditions, will be presented. Long-term aging tests carried out at the CERN Gamma Irradiation Facility will be discussed along with their possible limits and future perspectives. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication IOP Publishing Ltd and Sissa Medialab 2026 SzGeCERN Particle Physics - Experiment SzGeCERN Detectors and Experimental Techniques CERN ARTICLE Tytgat, M. ORCID:0000-0002-3990-2074 Brussels U., IIHE Gent U. Inter-University Institute for High Energies, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, 9000 Ghent, Belgium Abbrescia, M. Bari U. Bari Polytechnic Politecnico di Bari, Dipartimento Interateneo di Fisica, via Amendola 173, 70125 Bari, Italy INFN Sezione di Bari, Via E. Orabona 4, 70125 Bari, Italy Aielli, G. Rome U., Tor Vergata Dipartimento di Fisica, Università degli studi di Roma Tor Vergata, Via della Ricerca Scientifica 1, 00133 Roma, Italy Aly, R. Bari Polytechnic Cairo U. INFN Sezione di Bari, Via E. Orabona 4, 70125 Bari, Italy Helwan University, Helwan, Cairo Governorate 4037120, Egypt Arena, M.C. Pavia U. Università degli studi di Pavia, Corso Strada Nuova 65, 27100 Pavia, Italy Barroso, M. Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, R. São Francisco Xavier 524, 20550-013 Maracanã, Rio de Janeiro - RJ, Brazil Benussi, L. Frascati INFN - Laboratori Nazionali di Frascati, Via Enrico Fermi 54, 00044 Frascati (Roma), Italy Bianco, S. Frascati INFN - Laboratori Nazionali di Frascati, Via Enrico Fermi 54, 00044 Frascati (Roma), Italy Boscherini, D. INFN, Bologna INFN Sezione di Bologna, Via C. Berti Pichat 4/2, 40127 Bologna, Italy Bordon, F. CERN CERN, Espl. des Particules 1, 1211 Meyrin, Switzerland Bruni, A. INFN, Bologna INFN Sezione di Bologna, Via C. Berti Pichat 4/2, 40127 Bologna, Italy Buontempo, S. INFN, Naples INFN Sezione di Napoli, Complesso universitario di Monte S. Angelo ed. 6, Via Cintia, 80126 Napoli, Italy Busato, M. CERN CERN, Espl. des Particules 1, 1211 Meyrin, Switzerland Camarri, P. Rome U., Tor Vergata Dipartimento di Fisica, Università degli studi di Roma Tor Vergata, Via della Ricerca Scientifica 1, 00133 Roma, Italy Cardarelli, R. INFN, Rome2 INFN Sezione di Roma Tor Vergata, Via della Ricerca Scientifica 1, 00133 Roma, Italy Congedo, L. Bari Polytechnic INFN Sezione di Bari, Via E. Orabona 4, 70125 Bari, Italy De Jesus Damiao, D. Rio de Janeiro State U. Universidade do Estado do Rio de Janeiro, R. São Francisco Xavier 524, 20550-013 Maracanã, Rio de Janeiro - RJ, Brazil De Serio, M. Bari Polytechnic Bari U. INFN Sezione di Bari, Via E. Orabona 4, 70125 Bari, Italy Dipartimento Interateneo di Fisica, Università degli studi di Bari, Via Amendola 173, 70125 Bari, Italy De Bernardis, F. Bari Polytechnic INFN Sezione di Bari, Via E. Orabona 4, 70125 Bari, Italy Di Ciaccio, A. Rome U., Tor Vergata Dipartimento di Fisica, Università degli studi di Roma Tor Vergata, Via della Ricerca Scientifica 1, 00133 Roma, Italy Di Stante, L. Rome U., Tor Vergata Dipartimento di Fisica, Università degli studi di Roma Tor Vergata, Via della Ricerca Scientifica 1, 00133 Roma, Italy Dupieux, P. Clermont-Ferrand U. Clermont Université, Université Blaise Pascal, CNRS/IN2P3, Laboratoire de Physique Corpusculaire, BP 10448, F-63000 Clermont-Ferrand, France Eysermans, J. MIT Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, U.S.A. Ferrara, N. Bari U. Bari Polytechnic Politecnico di Bari, Dipartimento Interateneo di Fisica, via Amendola 173, 70125 Bari, Italy INFN Sezione di Bari, Via E. Orabona 4, 70125 Bari, Italy Ferretti, A. Turin U. INFN Sezione di Torino, Via P. Giuria 1, 10125 Torino, Italy Dipartimento di Fisica, Università degli studi di Torino, Via P. Giuria 1, 10125 Torino, Italy Galati, G. Bari Polytechnic Bari U. INFN Sezione di Bari, Via E. Orabona 4, 70125 Bari, Italy Dipartimento Interateneo di Fisica, Università degli studi di Bari, Via Amendola 173, 70125 Bari, Italy Gagliardi, M. Turin U. INFN Sezione di Torino, Via P. Giuria 1, 10125 Torino, Italy Dipartimento di Fisica, Università degli studi di Torino, Via P. Giuria 1, 10125 Torino, Italy Guida, R. CERN CERN, Espl. des Particules 1, 1211 Meyrin, Switzerland Iaselli, G. Bari U. Bari Polytechnic Politecnico di Bari, Dipartimento Interateneo di Fisica, via Amendola 173, 70125 Bari, Italy INFN Sezione di Bari, Via E. Orabona 4, 70125 Bari, Italy Joly, B. Clermont-Ferrand U. Clermont Université, Université Blaise Pascal, CNRS/IN2P3, Laboratoire de Physique Corpusculaire, BP 10448, F-63000 Clermont-Ferrand, France Juks, S.A. U. Paris-Saclay Université Paris-Saclay, 3 rue Joliot Curie, Bâtiment Breguet, 91190 Gif-sur-Yvette, France Lakshmaiah, U. Bari U. Bari Polytechnic Politecnico di Bari, Dipartimento Interateneo di Fisica, via Amendola 173, 70125 Bari, Italy INFN Sezione di Bari, Via E. Orabona 4, 70125 Bari, Italy Lee, K.S. Korea U. Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, Korea Liberti, B. INFN, Rome2 INFN Sezione di Roma Tor Vergata, Via della Ricerca Scientifica 1, 00133 Roma, Italy Ramirez, D. Lucero Iberoamericana U. Department de Fisica y Matematicas, Universidad Iberoamericana, 01210 Mexico City, Mexico Mandelli, B. CERN CERN, Espl. des Particules 1, 1211 Meyrin, Switzerland Manen, S.P. Clermont-Ferrand U. Clermont Université, Université Blaise Pascal, CNRS/IN2P3, Laboratoire de Physique Corpusculaire, BP 10448, F-63000 Clermont-Ferrand, France Massa, L. INFN, Bologna INFN Sezione di Bologna, Via C. Berti Pichat 4/2, 40127 Bologna, Italy Pastore, A. Bari Polytechnic INFN Sezione di Bari, Via E. Orabona 4, 70125 Bari, Italy Pastori, E. INFN, Rome2 INFN Sezione di Roma Tor Vergata, Via della Ricerca Scientifica 1, 00133 Roma, Italy Piccolo, D. Frascati INFN - Laboratori Nazionali di Frascati, Via Enrico Fermi 54, 00044 Frascati (Roma), Italy Pizzimento, L. INFN, Rome2 INFN Sezione di Roma Tor Vergata, Via della Ricerca Scientifica 1, 00133 Roma, Italy Polini, A. INFN, Bologna INFN Sezione di Bologna, Via C. Berti Pichat 4/2, 40127 Bologna, Italy Proto, G. INFN, Rome2 INFN Sezione di Roma Tor Vergata, Via della Ricerca Scientifica 1, 00133 Roma, Italy Pugliese, G. Bari U. Bari Polytechnic Politecnico di Bari, Dipartimento Interateneo di Fisica, via Amendola 173, 70125 Bari, Italy INFN Sezione di Bari, Via E. Orabona 4, 70125 Bari, Italy Quaglia, L. Turin U. INFN Sezione di Torino, Via P. Giuria 1, 10125 Torino, Italy Dipartimento di Fisica, Università degli studi di Torino, Via P. Giuria 1, 10125 Torino, Italy Ramos, D. Bari U. Bari Polytechnic Politecnico di Bari, Dipartimento Interateneo di Fisica, via Amendola 173, 70125 Bari, Italy INFN Sezione di Bari, Via E. Orabona 4, 70125 Bari, Italy Rigoletti, G. CERN CERN, Espl. des Particules 1, 1211 Meyrin, Switzerland Rocchi, A. INFN, Rome2 INFN Sezione di Roma Tor Vergata, Via della Ricerca Scientifica 1, 00133 Roma, Italy Romano, M. INFN, Bologna INFN Sezione di Bologna, Via C. Berti Pichat 4/2, 40127 Bologna, Italy Samalan, A. Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, 9000 Ghent, Belgium Salvini, P. INFN, Pavia INFN Sezione di Pavia, Via A. Bassi 6, 27100 Pavia, Italy Santonico, R. Rome U., Tor Vergata Dipartimento di Fisica, Università degli studi di Roma Tor Vergata, Via della Ricerca Scientifica 1, 00133 Roma, Italy Saviano, G. U. Rome La Sapienza (main) Sapienza Università di Roma, Dipartimento di Ingegneria Chimica Materiali Ambiente, Piazzale Aldo Moro 5, 00185 Roma, Italy Sessa, M. INFN, Rome2 INFN Sezione di Roma Tor Vergata, Via della Ricerca Scientifica 1, 00133 Roma, Italy Simone, S. Bari Polytechnic Bari U. INFN Sezione di Bari, Via E. Orabona 4, 70125 Bari, Italy Dipartimento Interateneo di Fisica, Università degli studi di Bari, Via Amendola 173, 70125 Bari, Italy Vercellin, E. Turin U. INFN Sezione di Torino, Via P. Giuria 1, 10125 Torino, Italy Dipartimento di Fisica, Università degli studi di Torino, Via P. Giuria 1, 10125 Torino, Italy Verzeroli, M. Lyon U. Université Claude Bernard Lyon I, 43 Bd du 11 Novembre 1918, 69100 Villeurbanne, France Zaganidis, N. Iberoamericana U. Department de Fisica y Matematicas, Universidad Iberoamericana, 01210 Mexico City, Mexico C02004 02 JINST 21 2026 2790505 198702 http://cds.cern.ch/record/2946819/files/RE11_b_performance.png 00001 : width=0.35\linewidth 2790506 88138 http://cds.cern.ch/record/2946819/files/LHCb_std.png 00003 : width=0.329\linewidth 2790507 83814 http://cds.cern.ch/record/2946819/files/Max_eff_EPDT.png 00022 : : (a): Working point voltage as a function of gamma cluster rate for CMS RPC and different gas mixtures obtained with CMS RPC.(b): Maximum efficiency as a function of gamma cluster rate for EP-DT RPC measured in 2023 and 2024. 2790508 54307 http://cds.cern.ch/record/2946819/files/Alice_STD_after_off.png 00017 : width=0.329\linewidth 2790509 243306 http://cds.cern.ch/record/2946819/files/EPDT_b_performance.png 00002 : width=0.35\linewidth : Left: Efficiency and current density, as a function of $\mathrm{HV}_{\mathrm{eff}}$, were measured for the CMS chamber without irradiation, sequentially filled with the STD, ECO2, and ECO3 gas mixtures. Right: same, but for the EP-DT chamber. 2790510 56988 http://cds.cern.ch/record/2946819/files/Alice_ECO2_after_off.png 00018 : width=0.329\linewidth 2790511 54216 http://cds.cern.ch/record/2946819/files/ohmic_current2.png 00009 : width=0.4\linewidth 2790512 166654 http://cds.cern.ch/record/2946819/files/total_RE11.png 00015 : width=0.35\linewidth : RPC current density at nominal working point as a function of integrated charge, measured with the $\gamma$ source off. The top-left and top-right panels show the total and ohmic current components, respectively, for the ALICE, ATLAS, EPDT, and SHiP detectors. The bottom-left and bottom-right panels present the corresponding results for the KODEL TOP and BOT detectors, as well as the RE11 BOT, TW, and TN detectors. 2790513 61392 http://cds.cern.ch/record/2946819/files/Alice_ECO3_after_off.png 00019 : Left: Efficiency and current density versus $HV_{\text{eff}}$ comparing 2022 and 2023 data for the ALICE chamber operated with the STD mixture, obtained without irradiation. Center: Corresponding results for the same chamber filled with the ECO2 mixture. Right: Same, but with the same chamber filled with the ECO3 mixture. : Caption not extracted 2790514 69658 http://cds.cern.ch/record/2946819/files/integrated_time_no_ohmic_subtracted.png 00011 : width=0.4\linewidth 2790515 344196 http://cds.cern.ch/record/2946819/files/experimental_setup.png 00000 Layout of the GIF++ facility showing $^{137}$Cs source (light brown), the two trolleys with test chambers (dark brown), internal scintillators (blue), external scintillators (black), concrete walls (yellow), and the grey outline. The red arrow indicates the muon beam from the H4 line used for the tests. 2790516 101182 http://cds.cern.ch/record/2946819/files/LHCb_eco3.png 00005 : Left: Efficiency and current density versus $HV_{\text{eff}}$ for the LHCb/SHiP chamber operated with the STD mixture, obtained without irradiation, and with ABS = 10 and 2.2. Center: Corresponding results for the same chamber filled with the ECO2 mixture. Right: Same, but with the ECO3 mixture. : Caption not extracted 2790517 77497 http://cds.cern.ch/record/2946819/files/integrated_time_ohmic_subtracted.png 00012 : width=0.4\linewidth : Time-dependent accumulated charge density for all RPC ECOgas@GIF++ collaboration detectors, i.e., the left panel shows the total integrated current density, while the right panel displays the results after subtracting the ohmic component. 2790518 76480 http://cds.cern.ch/record/2946819/files/ohmic_Alice.png 00014 : width=0.35\linewidth 2790519 211997 http://cds.cern.ch/record/2946819/files/ch_dis_eco3.png 00008 : Charge distributions of the signals induced on the 3 cm wide strip of the ATLAS RPC, measured at HVknee , for the STD, ECO2 and ECO3 gas mixtures, from left to right, respectively. : Caption not extracted 2790520 207239 http://cds.cern.ch/record/2946819/files/ch_dis_eco2.png 00007 : width=0.329\linewidth 2790521 76208 http://cds.cern.ch/record/2946819/files/total_Alice.png 00013 : width=0.35\linewidth 2790522 78278 http://cds.cern.ch/record/2946819/files/ohmic_RE11.png 00016 : Caption not extracted 2790523 102356 http://cds.cern.ch/record/2946819/files/LHCb_Eco2.png 00004 : width=0.329\linewidth 2790524 2886086 http://cds.cern.ch/record/2946819/files/2510.04777.pdf Fulltext 2790525 162556 http://cds.cern.ch/record/2946819/files/ch_dis_std.png 00006 : width=0.329\linewidth 2790526 57211 http://cds.cern.ch/record/2946819/files/current_density_with_and_without_ohmic.png 00010 : width=0.4\linewidth : The left panel shows the dark current density versus $\mathrm{HV}_{\mathrm{eff}}$ for the EP-DT detector. The ohmic component of the dark current is visible, along with the linear interpolation used to derive the ohmic dark current at the irradiation voltage. The right panel presents the current density under irradiation, before and after ohmic subtraction, as a function of time. The step observed near the end reflects a change in irradiation conditions, leading to a current decrease. 2790527 114732 http://cds.cern.ch/record/2946819/files/WP_gamma_cluster.png 00021 : 2790528 77034 http://cds.cern.ch/record/2946819/files/ALICE_source_on.png 00020 Efficiency curves of ALICE RPC with STD, ECO2, and ECO3 gas mixtures in 2022 and 2023 under \ce{^{137}Cs} irradiation (ABS = 10). 13 2936463 C02004 bratislava20250706 ConferencePaper ARTICLE 2945396 SzGeCERN 20260417091118.0 DOI IOP 10.1088/1748-0221/20/09/P09035 oai:cds.cern.ch:2945396 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2505.14754 https://inspirehep.net/api/oai2d oai:inspirehep.net:2923582 2025-10-07T15:36:28Z 2025-10-08T04:00:09Z marcxml Inspire 2923582 arXiv arXiv:2505.14754 eess.IV eng Alexandrov, Andrey ORCID:0000-0002-1813-1485 andrey.alexandrov@na.infn.it INFN, Naples IOP Model-independent machine learning approach for nanometric axial localization and tracking arXiv Model-Independent Machine Learning Approach for Nanometric Axial Localization and Tracking 2025 2025-05-20 13 p arXiv 13 pages, 4 figures, 1 table IOP Accurately tracking particles and determining theircoordinate along the optical axis is a major challenge in opticalmicroscopy, especially when extremely high precision is needed. Inthis study, we introduce a deep learning approach usingconvolutional neural networks (CNNs) that can determine axialcoordinates from dual-focal-plane images without relying onpredefined models. Our method achieves an axial localizationprecision of 40 nanometers — six times better than traditionalsingle-focal-plane techniques. The model's simple design and strongperformance make it suitable for a wide range of uses, includingdark matter detection, proton therapy for cancer, and radiationprotection in space. It also shows promise in fields like biologicalimaging, materials science, and environmental monitoring. This workhighlights how machine learning can turn complex image data intoreliable, precise information, offering a flexible and powerful toolfor many scientific applications. arXiv Accurately tracking particles and determining their coordinate along the optical axis is a major challenge in optical microscopy, especially when extremely high precision is needed. In this study, we introduce a deep learning approach using convolutional neural networks (CNNs) that can determine axial coordinates from dual-focal-plane images without relying on predefined models. Our method achieves an axial localization precision of 40 nanometers-six times better than traditional single-focal-plane techniques. The model's simple design and strong performance make it suitable for a wide range of uses, including dark matter detection, proton therapy for cancer, and radiation protection in space. It also shows promise in fields like biological imaging, materials science, and environmental monitoring. This work highlights how machine learning can turn complex image data into reliable, precise information, offering a flexible and powerful tool for many scientific applications. publication CC-BY-4.0 IOP http://creativecommons.org/licenses/by/4.0/ Other preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ INSPIRE eess.IV INSPIRE astro-ph.IM INSPIRE cs.CV INSPIRE cs.LG INSPIRE physics.ins-det INSPIRE Other SzGeCERN Detectors and Experimental Techniques SzGeCERN Computing and Computers author Data analysis author Image processing author Dark Matter detectors (WIMPs, axions, etc.) author Instrumentation for hadron therapy ARTICLE CERN Acampora, Giovanni ORCID:0000-0003-4082-5616 INFN, Naples U. Naples (main) Università degli Studi di Napoli Federico II, Napoli 80126, Italy De Lellis, Giovanni ORCID:0000-0001-5862-1174 INFN, Naples U. Naples (main) CERN Università degli Studi di Napoli Federico II, Napoli 80126, Italy Di Crescenzo, Antonia ORCID:0000-0003-4276-8512 INFN, Naples U. Naples (main) Università degli Studi di Napoli Federico II, Napoli 80126, Italy Errico, Chiara U. Naples (main) Morozova, Daria ORCID:0009-0000-5650-5030 Unlisted, RU Tioukov, Valeri ORCID:0000-0001-5981-5296 INFN, Naples Vittiello, Autilia ORCID:0000-0001-5562-9226 INFN, Naples U. Naples (main) Università degli Studi di Napoli Federico II, Napoli 80126, Italy P09035 09 JINST 20 2025 2784896 173155 http://cds.cern.ch/record/2945396/files/Figure4_a.png 00008 : 2784897 211085 http://cds.cern.ch/record/2945396/files/Figure4_b.png 00009 : 2784898 1542886 http://cds.cern.ch/record/2945396/files/2505.14754.pdf Fulltext 2784899 222462 http://cds.cern.ch/record/2945396/files/Figure4_d.png 00011 : Caption not extracted 2784900 10626 http://cds.cern.ch/record/2945396/files/Figure1_e.png 00004 : Caption not extracted 2784901 10070 http://cds.cern.ch/record/2945396/files/Figure1_d.png 00003 : Images of the same nanoparticle acquired at different axial coordinates with step in the range $245-255$~nm. The dimensions of the image are $2150 \times 2150$~nm. The $Z$ axis is directed towards the objective lens. : Caption not extracted 2784902 10242 http://cds.cern.ch/record/2945396/files/Figure1_f.png 00005 : Caption not extracted 2784903 9988 http://cds.cern.ch/record/2945396/files/Figure1_a.png 00000 : 2784904 10149 http://cds.cern.ch/record/2945396/files/Figure1_c.png 00002 : 2784905 10454 http://cds.cern.ch/record/2945396/files/Figure1_b.png 00001 : 2784906 297967 http://cds.cern.ch/record/2945396/files/Figure4_c.png 00010 : (a) Predicted value ${\Delta{z}_{k}}^{pred}$ as a function of test value ${\Delta{z}_{k}}^{test}$ for image offset $\delta = 500$~nm. Prediction precision $({\Delta{z}_{k}}^{pred} - {\Delta{z}_{k}}^{test})$ for image offsets $\delta$ equal to (b) 500~nm, (c) 250~nm and (d) 750~nm. : Caption not extracted 2784907 299765 http://cds.cern.ch/record/2945396/files/Figure3.png 00007 Schematic representation of CNN architecture. 2784908 29036 http://cds.cern.ch/record/2945396/files/Figure2.png 00006 Mean brightness profile along the optical axis averaged over 105913 nanoparticles. Error bar values are calculated as the RMS of the nanoparticle brightness distribution in the corresponding bin. The $Z$ axis is directed towards the objective lens. 2784909 1496491 http://cds.cern.ch/record/2945396/files/document.pdf Fulltext 13 ARTICLE 2949539 20251124234245.0 oai:cds.cern.ch:2949539 cerncds:FULLTEXT ATL-ITK-SLIDE-2025-683 eng ATL-COM-ITK-2025-087 The ATLAS collaboration First Taste of ATLAS ITk Pixels: The Big Slice Tuncay, Baris AUTHOR|(CDS)2773504 University of Oxford (GB) suat.baris.tuncay@cern.ch 2025 CERN Geneva 24 Nov 2025 1 p The large-scale system test of the outer pixel system of the ATLAS Inner Tracker (ITk) will take place at the SR1 Lab in CERN, currently planned to start late Fall 2025. The setup will consist of a loaded half-ring from the outer endcap (OEC) and a loaded longeron from the outer barrel. The successful completion of the slice test is crucial for demonstrating the viability of the new tracker through the testing of important components such as optical readout system, LISSY interlock system, environmental sensor handling and Detector Control System via WinCC-OA. It is also a vital input to the PRR (Production Readiness Review) of the OEC Loaded Local Supports, currently scheduled for January 2026. This poster will illustrate the test setup and its status at the time of LHCC. The steps taken in the implementation of the Detector Control System and ensuring the functionality of the LISSY interlock crate will also be highlighted. SLIDE CERN CDS-Invenio WebSubmit Particle Physics - Experiment SzGeCERN ITK SzGeCERN CERN INTNOTE PRIVATLAS PUBLATLASSLIDE CERN LHC ATLAS PH-EP ATLAS Collaboration http://cds.cern.ch/record/2945795 Original Communication (restricted to ATLAS) 2797434 23622617 http://cds.cern.ch/record/2949539/files/ATL-ITK-SLIDE-2025-683.pdf suat.baris.tuncay@cern.ch bartun1970@gmail.com n 202570 91 PUBLIC 000788780CER PUBLATLASSLIDE Slides 2948851 20260209233639.0 DOI IOP 10.3847/1538-4357/ae25f0 oai:cds.cern.ch:2948851 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2509.08686 Inspire oai:inspirehep.net:2968748 2026-02-05T14:50:59Z 2026-02-06T03:01:08Z marcxml true https://inspirehep.net/api/oai2d Inspire 2968748 arXiv arXiv:2509.08686 astro-ph.HE eng Abe, K. ROR:https://ror.org/01p7qe739 Tokai U., Hiratsuka Japanese MAGIC Group: Department of Physics, Tokai University, Hiratsuka, 259-1292 Kanagawa, Japan IOP Time-dependent Modeling of the Subhour Spectral Evolution during the 2013 Outburst of Mrk 421 arXiv Time-Dependent Modeling of the Sub-Hour Spectral Evolution During the 2013 Outburst of Mrk 421 2026-02-02 2025-09-10 29 p arXiv All the broadband SEDs in 15-min bins are available at https://zenodo.org/records/17054582. The MAGIC data are also released in a Data Level 3 (DL3) format and can be downloaded from https://zenodo.org/records/17064461 IOP In 2013 April, the TeV blazar Markarian 421 underwent one of its most powerful emission outbursts recorded to date. An extensive multi-instrument campaign featuring MAGIC, VERITAS, and NuSTAR provided comprehensive very high-energy (VHE; E > 100 GeV) and X-ray coverage over nine consecutive days. The VHE flux peaked at approximately 15 times that of the Crab Nebula, with rapid variability detected on timescales down to 15 minutes in both X-ray and VHE bands. This rich data set, characterized by its dense temporal coverage and high photon statistics, offers an unparalleled opportunity to probe the broadband emission dynamics in blazars. In this work, we perform a detailed spectral analysis of the X-ray and VHE emissions on subhour timescales throughout the flare. We identify several clockwise spectral hysteresis loops in the X-rays, revealing a spectral evolution more complex than a simple harder-when-brighter trend. The VHE spectrum extends beyond 10 TeV, and its temporal evolution closely mirrors the behavior in the X-rays. Crucially, we report the first evidence of VHE spectral hysteresis occurring simultaneously with the X-ray loops. To interpret these findings, we apply a time-dependent leptonic model to 240 broadband spectral energy distributions (SEDs) binned on a 15 minute scale, allowing us to self-consistently track the particle distribution’s history. Our modeling shows that the majority of the subhour flux and spectral variations are driven by changes in the luminosity and slope of the injected electron distribution. The required variations in the electron slope are difficult to reconcile with magnetic reconnection, but they are consistent with a shock-acceleration scenario where the shock compression ratio evolves by a factor of ∼2. The model also points to a relatively stable magnetic field and emitting region size, favoring a scenario where the emission originates from a stationary feature in the jet, such as a recollimation shock. However, this scenario requires a jet Lorentz factor that significantly exceeds values from VLBI measurements to account for the high minimum electron energy implied by the lack of variability in the optical band. arXiv In April 2013, the TeV blazar Markarian~421 underwent one of its most powerful emission outbursts to date. An extensive multi-instrument campaign featuring MAGIC, VERITAS, and \textit{NuSTAR} provided comprehensive very-high-energy (VHE; $E > 100$ GeV) and X-ray coverage over nine consecutive days. In this work, we perform a detailed spectral analysis of the X-ray and VHE emissions on sub-hour timescales throughout the flare. We identify several clockwise spectral hysteresis loops in the X-rays, revealing a spectral evolution more complex than a simple harder-when-brighter trend. The VHE spectrum extends beyond 10 TeV, and its temporal evolution closely mirrors the behavior in the X-rays. We report the first evidence of VHE spectral hysteresis occurring simultaneously with the X-ray loops. To interpret these findings, we apply a time-dependent leptonic model to 240 broadband spectral energy distributions (SEDs) binned on a 15-minute scale, allowing us to self-consistently track the particle distribution's history. Our modeling shows that the majority of the sub-hour flux and spectral variations are driven by changes in the luminosity and slope of the injected electron distribution. The required variations in the electron slope are difficult to reconcile with magnetic reconnection but are consistent with a shock-acceleration scenario where the shock compression ratio evolves by a factor of $\sim2$. The model also points to a relatively stable magnetic field and emitting region size, favoring a scenario where the emission originates from a stationary feature in the jet, such as a recollimation shock. However, this scenario requires a jet Lorentz factor that significantly exceeds values from VLBI measurements to account for the high minimum electron energy implied by the lack of variability in the optical band. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication CC-BY-4.0 IOP https://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2026 SzGeCERN Astrophysics and Astronomy CERN ARTICLE MAGIC Abe, S. ORCID:0000-0001-7250-3596 ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Abhir, J. ORCID:0000-0001-8215-4377 ROR:https://ror.org/05a28rw58 Zurich, ETH ETH Zürich, CH-8093 Zürich, Switzerland Abhishek, A. ORCID:0009-0005-5239-7905 ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Aguasca-Cabot, A. ORCID:0000-0001-8816-4920 ROR:https://ror.org/021018s57 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Agudo, I. ORCID:0000-0002-3777-6182 ROR:https://ror.org/04ka0vh05 IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008, Granada, Spain Aniello, T. ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Ansoldi, S. ORCID:0000-0002-5613-7693 ROR:https://ror.org/05j3snm48 ROR:https://ror.org/02jktn113 Udine U. INFN, Trieste ICRA, Rome Università di Udine and INFN Trieste, I-33100 Udine, Italy International Center for Relativistic Astrophysics (ICRA), Rome, Italy Antonelli, L.A. ORCID:0000-0002-5037-9034 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Engels, A. Arbet ORCID:0000-0001-9076-9582 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Arcaro, C. ORCID:0000-0002-1998-9707 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Arnesen, T.T. H. ORCID:0009-0004-0816-0700 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Babić, A. ORCID:0000-0002-1444-5604 ROR:https://ror.org/00mv6sv71 Zagreb U. Croatian MAGIC Group: University of Zagreb, Faculty of Electrical Engineering and Computing (FER), 10000 Zagreb, Croatia Bakshi, C. ORCID:0009-0007-1843-5386 ROR:https://ror.org/0491yz035 Saha Inst. Saha Institute of Nuclear Physics, A CI of Homi Bhabha National Institute, Kolkata 700064, West Bengal, India de Almeida, U. Barres ORCID:0000-0001-7909-588X ROR:https://ror.org/02wnmk332 Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas (CBPF), 22290-180 URCA, Rio de Janeiro (RJ), Brazil Barrio, J.A. ORCID:0000-0002-0965-0259 ROR:https://ror.org/02p0gd045 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Barrios-Jiménez, L. ORCID:0009-0008-6006-175X ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Batković, I. ORCID:0000-0002-1209-2542 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Baxter, J. ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Becerra González, J. ORCID:0000-0002-6729-9022 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Bednarek, W. ORCID:0000-0003-0605-108X ROR:https://ror.org/05cq64r17 Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Bernardini, E. ORCID:0000-0003-3108-1141 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Bernete, J. ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Berti, A. ORCID:0000-0003-0396-4190 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Bigongiari, C. ORCID:0000-0003-3293-8522 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Biland, A. ORCID:0000-0002-1288-833X ROR:https://ror.org/05a28rw58 Zurich, ETH ETH Zürich, CH-8093 Zürich, Switzerland Blanch, O. ORCID:0000-0002-8380-1633 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Bonnoli, G. ORCID:0000-0003-2464-9077 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Bošnjak, Ž. ORCID:0000-0001-6536-0320 ROR:https://ror.org/00mv6sv71 Zagreb U. Croatian MAGIC Group: University of Zagreb, Faculty of Electrical Engineering and Computing (FER), 10000 Zagreb, Croatia Bronzini, E. ORCID:0000-0001-8378-4303 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Burelli, I. ORCID:0000-0002-8383-2202 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Campoy-Ordaz, A. ORCID:0000-0001-9352-8936 ROR:https://ror.org/052g8jq94 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain Carosi, A. ORCID:0000-0001-8690-6804 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Carosi, R. ORCID:0000-0002-4137-4370 ROR:https://ror.org/03ad39j10 Pisa U. Università di Pisa and INFN Pisa, I-56126 Pisa, Italy Carretero-Castrillo, M. ORCID:0000-0002-1426-1311 ROR:https://ror.org/021018s57 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Castro-Tirado, A.J. ORCID:0000-0002-0841-0026 ROR:https://ror.org/04ka0vh05 IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008, Granada, Spain Cerasole, D. ORCID:0000-0003-2033-756X ROR:https://ror.org/027ynra39 ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari U. Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Ceribella, G. ORCID:0000-0002-9768-2751 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Chai, Y. ORCID:0000-0003-2816-2821 ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Cifuentes, A. ORCID:0000-0003-1033-5296 ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Contreras, J.L. ORCID:0000-0001-7282-2394 ROR:https://ror.org/02p0gd045 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Cortina, J. ORCID:0000-0003-4576-0452 ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Covino, S. ORCID:0000-0001-9078-5507 ROR:https://ror.org/02gh4kt33 INAF, Rome Insubria U., Como National Institute for Astrophysics (INAF), I-00136 Rome, Italy Como Lake centre for AstroPhysics (CLAP), DiSAT, Universitá dell’Insubria, via Valleggio 11, 22100, Como, Italy D'Ammando, F. ORCID:0000-0001-7618-7527 Bologna, Ist. Radioastronomia INAF Istituto di Radioastronomia, Via P. Gobetti 101, I-40129 Bologna, Italy Da Vela, P. ORCID:0000-0003-0604-4517 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Dazzi, F. ORCID:0000-0001-5409-6544 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy De Angelis, A. ORCID:0000-0002-3288-2517 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy De Lotto, B. ORCID:0000-0003-3624-4480 ROR:https://ror.org/05j3snm48 Udine U. INFN, Trieste Università di Udine and INFN Trieste, I-33100 Udine, Italy de Menezes, R. ROR:https://ror.org/02wnmk332 Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas (CBPF), 22290-180 URCA, Rio de Janeiro (RJ), Brazil Delgado, J. ORCID:0000-0002-0166-5464 ROR:https://ror.org/01sdrjx85 ROR:https://ror.org/05xx77y52 Barcelona, IFAE PIC, Bellaterra Madrid, CIEMAT Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Port d’Informació Científica (PIC), E-08193 Bellaterra (Barcelona), Spain Delgado Mendez, C. ORCID:0000-0002-7014-4101 ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Di Pierro, F. ORCID:0000-0003-4861-432X ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Di Tria, R. ORCID:0009-0007-1088-5307 ROR:https://ror.org/027ynra39 ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari U. Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Di Venere, L. ORCID:0000-0003-0703-824X ROR:https://ror.org/027ynra39 ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari U. Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Dinesh, A. ROR:https://ror.org/02p0gd045 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Dominis Prester, D. ORCID:0000-0002-9880-5039 ROR:https://ror.org/05r8dqr10 Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Donini, A. ORCID:0000-0002-3066-724X ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Dorner, D. ORCID:0000-0001-8823-479X ROR:https://ror.org/00fbnyb24 Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Doro, M. ORCID:0000-0001-9104-3214 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Eisenberger, L. ROR:https://ror.org/00fbnyb24 Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Elsaesser, D. ORCID:0000-0001-6796-3205 ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Escudero, J. ORCID:0000-0002-4131-655X ROR:https://ror.org/04ka0vh05 IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008, Granada, Spain Fariña, L. ORCID:0000-0003-4116-6157 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Foffano, L. ORCID:0000-0002-0709-9707 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Font, L. ORCID:0000-0003-2109-5961 ROR:https://ror.org/052g8jq94 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain Fröse, S. ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Fukazawa, Y. ORCID:0000-0002-0921-8837 ROR:https://ror.org/03t78wx29 Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan López, R.J. García ORCID:0000-0002-8204-6832 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Soto, S. García ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Garczarczyk, M. ORCID:0000-0002-0445-4566 ROR:https://ror.org/01js2sh04 DESY, Zeuthen Deutsches Elektronen-Synchrotron (DESY), D-15738 Zeuthen, Germany Gasparyan, S. ORCID:0000-0002-0031-7759 NAS Armenia, Yerevan Armenian MAGIC Group: ICRANet-Armenia, 0019 Yerevan, Armenia Giesbrecht Paiva, J.G. ORCID:0000-0002-5817-2062 ROR:https://ror.org/02wnmk332 Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas (CBPF), 22290-180 URCA, Rio de Janeiro (RJ), Brazil Giglietto, N. ORCID:0000-0002-9021-2888 ROR:https://ror.org/027ynra39 ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari U. Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Giordano, F. ORCID:0000-0002-8651-2394 ROR:https://ror.org/027ynra39 ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari U. Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Gliwny, P. ORCID:0000-0002-4183-391X ROR:https://ror.org/05cq64r17 Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Gradetzke, T. ORCID:0000-0003-0646-2495 ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Grau, R. ORCID:0000-0002-1891-6290 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Green, D. ORCID:0000-0003-0768-2203 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Green, J.G. ORCID:0000-0002-1130-6692 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Günther, P. ROR:https://ror.org/00fbnyb24 Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Hahn, A. ORCID:0000-0003-0827-5642 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Hassan, T. ORCID:0000-0002-4758-9196 ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Heckmann, L. ORCID:0000-0002-6653-8407 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Herrera Llorente, J. ORCID:0000-0002-3771-4918 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Hrupec, D. ORCID:0000-0002-7027-5021 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Croatian MAGIC Group: Josip Juraj Strossmayer University of Osijek, Department of Physics, 31000 Osijek, Croatia Israyelyan, D. ORCID:0000-0002-5804-6605 NAS Armenia, Yerevan Armenian MAGIC Group: ICRANet-Armenia, 0019 Yerevan, Armenia Jahanvi, J. ORCID:0000-0002-7217-0821 ROR:https://ror.org/05j3snm48 Udine U. INFN, Trieste Università di Udine and INFN Trieste, I-33100 Udine, Italy Martínez, I. Jiménez ORCID:0000-0003-2150-6919 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Quiles, J. Jiménez ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Jormanainen, J. ORCID:0000-0003-4519-7751 ROR:https://ror.org/05vghhr25 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Kankkunen, S. ROR:https://ror.org/05vghhr25 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Kayanoki, T. ORCID:0000-0002-6960-9274 ROR:https://ror.org/03t78wx29 Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan Konrad, J. ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Kouch, P.M. ORCID:0000-0002-9328-2750 ROR:https://ror.org/05vghhr25 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Koziol, G. ROR:https://ror.org/01swzsf04 ISDC, Versoix University of Geneva, Chemin d’Ecogia 16, CH-1290 Versoix, Switzerland Kubo, H. ORCID:0000-0001-9159-9853 ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Kushida, J. ORCID:0000-0002-8002-8585 ROR:https://ror.org/01p7qe739 Tokai U., Hiratsuka Japanese MAGIC Group: Department of Physics, Tokai University, Hiratsuka, 259-1292 Kanagawa, Japan Láinez, M. ORCID:0000-0003-3848-922X ROR:https://ror.org/02p0gd045 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Lamastra, A. ORCID:0000-0003-2403-913X ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Lindfors, E. ORCID:0000-0002-9155-6199 ROR:https://ror.org/05vghhr25 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Lombardi, S. ORCID:0000-0002-6336-865X ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Longo, F. ORCID:0000-0003-2501-2270 ROR:https://ror.org/05j3snm48 ROR:https://ror.org/02n742c10 Udine U. INFN, Trieste Trieste U. Università di Udine and INFN Trieste, I-33100 Udine, Italy Dipartimento di Fisica, Università di Trieste, I-34127 Trieste, Italy López-Moya, M. ORCID:0000-0002-8791-7908 ROR:https://ror.org/02p0gd045 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain López-Oramas, A. ORCID:0000-0003-4603-1884 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Loporchio, S. ORCID:0000-0003-4457-5431 ROR:https://ror.org/027ynra39 ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari U. Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Lulić, L. ROR:https://ror.org/05r8dqr10 Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Lyard, E. ROR:https://ror.org/01swzsf04 ISDC, Versoix University of Geneva, Chemin d’Ecogia 16, CH-1290 Versoix, Switzerland Majumdar, P. ORCID:0000-0002-5481-5040 ROR:https://ror.org/0491yz035 Saha Inst. Saha Institute of Nuclear Physics, A CI of Homi Bhabha National Institute, Kolkata 700064, West Bengal, India Makariev, M. ORCID:0000-0002-1622-3116 ROR:https://ror.org/0276rjc88 Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, BG-1784 Sofia, Bulgaria Mallamaci, M. ORCID:0000-0003-4068-0496 ROR:https://ror.org/03a64bh57 Catania U. INFN MAGIC Group: INFN Sezione di Catania and Dipartimento di Fisica e Astronomia, University of Catania, I-95123 Catania, Italy Maneva, G. ORCID:0000-0002-5959-4179 ROR:https://ror.org/0276rjc88 Sofiya, Inst. Nucl. Res. Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, BG-1784 Sofia, Bulgaria Manganaro, M. ORCID:0000-0003-1530-3031 ROR:https://ror.org/05r8dqr10 Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Mangano, S. ORCID:0000-0001-5872-1191 ROR:https://ror.org/05xx77y52 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Mannheim, K. ORCID:0000-0002-2950-6641 ROR:https://ror.org/00fbnyb24 Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Marchesi, S. ORCID:0000-0001-5544-0749 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Mariotti, M. ORCID:0000-0003-3297-4128 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Martínez, M. ORCID:0000-0002-9763-9155 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Maruševec, P. ORCID:0000-0002-6748-4615 ROR:https://ror.org/00mv6sv71 Zagreb U. Croatian MAGIC Group: University of Zagreb, Faculty of Electrical Engineering and Computing (FER), 10000 Zagreb, Croatia Menchiari, S. ROR:https://ror.org/04ka0vh05 IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008, Granada, Spain Gallego, J. Méndez ROR:https://ror.org/04ka0vh05 IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008, Granada, Spain Menon, S. ROR:https://ror.org/02gh4kt33 ROR:https://ror.org/02p77k626 INAF, Rome Rome U., Tor Vergata National Institute for Astrophysics (INAF), I-00136 Rome, Italy Dipartimento di Fisica, Universitá di Roma Tor Vergata, Via della Ricerca Scientifica, 1, Roma I-00133, Italy Miceli, D. ORCID:0000-0002-2686-0098 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Miranda, J.M. ORCID:0000-0002-1472-9690 ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Mirzoyan, R. ORCID:0000-0003-0163-7233 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Molero González, M. ORCID:0000-0003-0967-715X ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Molina, E. ORCID:0000-0003-1204-5516 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Mondal, H.A. ORCID:0000-0001-7217-0234 ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Moralejo, A. ORCID:0000-0002-1344-9080 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Nanci, C. ORCID:0000-0002-1791-8235 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Negro, A. ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Neustroev, V. ORCID:0000-0003-4772-595X ROR:https://ror.org/03yj89h83 Oulu U. Finnish MAGIC Group: Space Physics and Astronomy Research Unit, University of Oulu, FI-90014 Oulu, Finland Nickel, L. ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Nievas Rosillo, M. ORCID:0000-0002-8321-9168 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Nigro, C. ORCID:0000-0001-8375-1907 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Nikolić, L. ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Nozaki, S. ORCID:0000-0002-6246-2767 ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Okumura, A. ORCID:0000-0002-3055-7964 ROR:https://ror.org/04chrp450 KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, 464-6801 Nagoya, Japan Otero-Santos, J. ORCID:0000-0002-4241-5875 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Paiano, S. ORCID:0000-0002-2239-3373 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Paneque, D. ORCID:0000-0002-2830-0502 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Paoletti, R. ORCID:0000-0003-0158-2826 ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Paredes, J.M. ORCID:0000-0002-1566-9044 ROR:https://ror.org/021018s57 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Peresano, M. ORCID:0000-0002-7537-7334 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Persic, M. ORCID:0000-0003-1853-4900 ROR:https://ror.org/05j3snm48 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/00z34yn88 Udine U. INFN, Trieste CERN INFN, Padua Università di Udine and INFN Trieste, I-33100 Udine, Italy INAF, Padova, Italy Pihet, M. ROR:https://ror.org/04ka0vh05 IAA, Granada Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008, Granada, Spain Pirola, G. ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Podobnik, F. ORCID:0000-0001-6125-9487 ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Prada Moroni, P.G. ORCID:0000-0001-9712-9916 ROR:https://ror.org/03ad39j10 Pisa U. Università di Pisa and INFN Pisa, I-56126 Pisa, Italy Prandini, E. ORCID:0000-0003-4502-9053 INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Rhode, W. ORCID:0000-0003-2636-5000 ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Ribó, M. ORCID:0000-0002-9931-4557 ROR:https://ror.org/021018s57 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Rico, J. ORCID:0000-0003-4137-1134 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Roy, A. ROR:https://ror.org/03t78wx29 Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan Sahakyan, N. ORCID:0000-0003-2011-2731 NAS Armenia, Yerevan Armenian MAGIC Group: ICRANet-Armenia, 0019 Yerevan, Armenia Saturni, F.G. ORCID:0000-0002-1946-7706 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Schmitz, K. ORCID:0000-0002-9883-4454 ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Schmuckermaier, F. ORCID:0000-0003-2089-0277 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Schweizer, T. ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Sciaccaluga, A. ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Silvestri, G. INFM, Padua Università di Padova and INFN, I-35131 Padova, Italy Simongini, A. ORCID:0009-0000-3416-9865 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Sitarek, J. ORCID:0000-0002-1659-5374 ROR:https://ror.org/05cq64r17 Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Sliusar, V. ORCID:0000-0002-4387-9372 ROR:https://ror.org/01swzsf04 ISDC, Versoix University of Geneva, Chemin d’Ecogia 16, CH-1290 Versoix, Switzerland Sobczynska, D. ORCID:0000-0003-4973-7903 ROR:https://ror.org/05cq64r17 Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Stamerra, A. ORCID:0000-0002-9430-5264 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Strišković, J. ORCID:0000-0003-2902-5044 ROR:https://ror.org/02mw21745 Boskovic Inst., Zagreb Croatian MAGIC Group: Josip Juraj Strossmayer University of Osijek, Department of Physics, 31000 Osijek, Croatia Strom, D. ORCID:0000-0003-2108-3311 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Strzys, M. ORCID:0000-0001-5049-1045 ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Suda, Y. ORCID:0000-0002-2692-5891 ROR:https://ror.org/03t78wx29 Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan Tajima, H. ROR:https://ror.org/04chrp450 KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, 464-6801 Nagoya, Japan Takeishi, R. ORCID:0000-0001-6335-5317 ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Tavecchio, F. ORCID:0000-0003-0256-0995 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Terzić, T. ORCID:0000-0002-4209-3407 ROR:https://ror.org/05r8dqr10 Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Teshima, M. ROR:https://ror.org/00e4bwe12 ROR:https://ror.org/008td3p62 Garching, Max Planck Inst., MPE Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Max-Planck-Institut für Physik, D-85748 Garching, Germany Tutone, A. ORCID:0000-0002-2840-0001 ROR:https://ror.org/02gh4kt33 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Ubach, S. ORCID:0000-0002-6159-5883 ROR:https://ror.org/052g8jq94 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain van Scherpenberg, J. ORCID:0000-0002-6173-867X ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Vazquez Acosta, M. ORCID:0000-0002-2409-9792 ROR:https://ror.org/03cmntr54 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Ventura, S. ORCID:0000-0001-7065-5342 ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Verna, G. ROR:https://ror.org/05symbg58 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Viale, I. ORCID:0000-0001-5031-5930 ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Vigliano, A. ROR:https://ror.org/05j3snm48 Udine U. INFN, Trieste Università di Udine and INFN Trieste, I-33100 Udine, Italy Vigorito, C.F. ORCID:0000-0002-0069-9195 ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Visentin, E. ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/048tbm396 INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Vitale, V. ORCID:0000-0001-8040-7852 ROR:https://ror.org/025rrx658 ROR:https://ror.org/02p77k626 INFN, Rome2 U. Rome 2, Tor Vergata (main) INFN MAGIC Group: INFN Roma Tor Vergata, I-00133 Roma, Italy Vovk, I. ORCID:0000-0003-3444-3830 ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Walter, R. ORCID:0000-0003-2362-4433 ROR:https://ror.org/01swzsf04 ISDC, Versoix University of Geneva, Chemin d’Ecogia 16, CH-1290 Versoix, Switzerland Wersig, F. ORCID:0009-0006-1828-6117 ROR:https://ror.org/01k97gp34 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Will, M. ORCID:0000-0002-7504-2083 ROR:https://ror.org/00e4bwe12 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Yamamoto, T. ORCID:0000-0001-9734-8203 Konan U. Japanese MAGIC Group: Department of Physics, Konan University, Kobe, Hyogo 658-8501, Japan Yeung, P.K. H. ROR:https://ror.org/008td3p62 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Petropoulou, M. ORCID:0000-0001-6640-0179 ROR:https://ror.org/04gnjpq42 ROR:https://ror.org/04gnjpq42 Athens Natl. Capodistrian U. Athens U. Department of Physics, National and Kapodistrian University of Athens, University Campus Zografos, GR 15784, Athens, Greece Institute of Accelerating Systems & Applications, University Campus Zografos, Athens, Greece Polkas, M. ORCID:0000-0002-8889-2167 Donostia Intl. Phys. Ctr., San Sebastian Donostia International Physics Center, Paseo Manuel de Lardizabal 4, E-20118 Donostia-San Sebastián, Spain Mastichiadis, A. ORCID:0000-0001-5217-4801 Department of Physics, National and Kapodistrian University of Athens, University Campus Zografos, GR 15784, Athens, Greece MAGIC Collaboration 6 1 Astrophys. J. 998 2026 2795616 67201 http://cds.cern.ch/record/2948851/files/eed_representative.png 00001 Snapshots from the temporal evolution of the electron distribution in the ``fast'' zone, extracted at the time MJD~56XXX.0 from each day of the flare. Here, $n_e$ is defined as the number for particles contained in a volume $\sigma_T \, R$. 2795617 42259 http://cds.cern.ch/record/2948851/files/p_le_vs_mjd.png 00000 Temporal evolution of the model parameters $p(t)$ (black markers) and $l_e(t)$ (red markers) that characterize the electron distribution injected in the ``fast'' zone. See text for more details on the procedure applied to determine the corresponding variations. 2795618 2990780 http://cds.cern.ch/record/2948851/files/2509.08686.pdf Fulltext 2795619 53873 http://cds.cern.ch/record/2948851/files/eed_range.png 00002 Range of values covered by the electron distributions from three selected days that relate to the beginning (MJD~56393), middle (MJD~56397) and end (MJD~56399) of the 9-day flaring activity. The bands represent the minimum and maximum value reached at each Lorentz factor, while the dashed lines depict the average. 2819819 3658737 http://cds.cern.ch/record/2948851/files/document.pdf Fulltext 13 ARTICLE DELETED 2948748 20260402042810.0 oai:cds.cern.ch:2948748 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN DOI 10.1016/j.nima.2026.171354 arXiv oai:arXiv.org:2510.27592 oai:inspirehep.net:3075710 https://inspirehep.net/api/oai2d Inspire 2026-04-01T21:39:58Z 2026-04-02T02:00:32Z marcxml true Inspire 3075710 arXiv arXiv:2510.27592 physics.ins-det eng Agguiaro, D. INFN, Padua INFN, Sezione di Padova, Padova, Italy arXiv Sensor operating point calibration and monitoring of the ALICE Inner Tracking System during LHC Run 3 2026-02-09 2025-10-31 30 p Elsevier B.V. The new Inner Tracking System (ITS2) of the ALICE experiment began operation in 2021 with the start of LHC Run 3. Compared to its predecessor, ITS2 offers substantial improvements in pointing resolution, tracking efficiency at low transverse momenta, and readout-rate capabilities. The detector employs silicon Monolithic Active Pixel Sensors (MAPS) featuring a pixel size of 26.88 × <math altimg="si1.svg" display="inline" id="d1e654"><mrow><mn>29</mn><mo>.</mo><mn>24</mn><mspace class="nbsp" width="0.33em"/><mi mathvariant="normal">μ</mi><mi mathvariant="normal">m</mi></mrow></math><sup loc="post">2</sup> and an intrinsic spatial resolution of approximately <math altimg="si2.svg" display="inline" id="d1e671"><mrow><mn>5</mn><mspace class="nbsp" width="0.33em"/><mi mathvariant="normal">μ</mi><mi mathvariant="normal">m</mi></mrow></math>. With a remarkably low material budget of 0.36% of radiation length (<math altimg="si3.svg" display="inline" id="d1e683"><msub><mrow><mi>X</mi></mrow><mrow><mn>0</mn></mrow></msub></math>) per layer in the three innermost layers and a total sensitive area of about 10 m<math altimg="si4.svg" display="inline" id="d1e694"><msup><mrow/><mrow><mn>2</mn></mrow></msup></math>, the ITS2 constitutes the largest-scale application of MAPS technology in a high-energy physics experiment and the first of its kind operated at the LHC. For stable data taking, it is crucial to calibrate different parameters of the detector, such as in-pixel charge thresholds and the masking of noisy pixels. The calibration of 24,120 monolithic sensors, comprising a total of 12.6 × 10<sup loc="post">9</sup> pixels, represents a major operational challenge. This paper presents the methods developed for the calibration of the ITS2 and outlines the strategies for monitoring and dynamically adjusting the detector’s key performance parameters over time. arXiv The new Inner Tracking System (ITS2) of the ALICE experiment began operation in 2021 with the start of LHC Run 3. Compared to its predecessor, ITS2 offers substantial improvements in pointing resolution, tracking efficiency at low transverse momenta, and readout-rate capabilities. The detector employs silicon Monolithic Active Pixel Sensors (MAPS) featuring a pixel size of 26.88$\times$29.24 $μ$m$^2$ and an intrinsic spatial resolution of approximately 5 $μ$m. With a remarkably low material budget of 0.36% of radiation length ($X_{0}$) per layer in the three innermost layers and a total sensitive area of about 10 m$^2$, the ITS2 constitutes the largest-scale application of MAPS technology in a high-energy physics experiment and the first of its kind operated at the LHC. For stable data taking, it is crucial to calibrate different parameters of the detector, such as in-pixel charge thresholds and the masking of noisy pixels. The calibration of 24120 monolithic sensors, comprising a total of 12.6$\times$10$^{9}$ pixels, represents a major operational challenge. This paper presents the methods developed for the calibration of the ITS2 and outlines the strategies for monitoring and dynamically adjusting the detector's key performance parameters over time. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2026 arXiv physics.ins-det SzGeCERN Detectors and Experimental Techniques CERN ARTICLE CERN LHC ALICE Rinella, G. Aglieri CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Aglietta, L. Pisa U. INFN, Trieste Dipartimento di Fisica dell’Universita and Sezione INFN, Turin, Italy ` Agnello, M. INFN, Turin Turin Polytechnic Dipartimento DISAT del Politecnico and Sezione INFN, Turin, Italy Agnese, F. Strasbourg, IPHC Universite de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France, Strasbourg, France ´ Alessandro, B. INFN, Turin INFN, Sezione di Torino, Turin, Italy Alfarone, G. INFN, Turin INFN, Sezione di Torino, Turin, Italy Alme, J. Bergen U. Department of Physics and Technology, University of Bergen, Bergen, Norway Anderssen, E. LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, California, United States Andreou, D. NIKHEF, Amsterdam Nikhef, National institute for subatomic physics, Amsterdam, Netherlands Angeletti, M. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Apadula, N. LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, California, United States Atkinson, P. Daresbury Nuclear Physics Group, STFC Daresbury Laboratory, Daresbury, United Kingdom Azzan, C. INFN, Trieste INFN, Sezione di Trieste, Trieste, Italy Baccomi, R. INFN, Trieste INFN, Sezione di Trieste, Trieste, Italy Badala, A. INFN, Catania INFN, Sezione di Catania, Catania, Italy Balbino, A. INFN, Turin U. Turin (main) Dipartimento di Fisica dell’Universita and Sezione INFN, Turin, Italy ` Barberis, P. INFN, Turin INFN, Sezione di Torino, Turin, Italy Barile, F. Bari U. INFN, Bari Dipartimento Interateneo di Fisica ‘M. Merlin’ and Sezione INFN, Bari, Italy Barioglio, L. INFN, Turin INFN, Sezione di Torino, Turin, Italy Barthel, R. NIKHEF, Amsterdam Nikhef, National institute for subatomic physics, Amsterdam, Netherlands Baruffaldi, F. Padua U. INFN, Padua Dipartimento di Fisica e Astronomia dell’Universita and Sezione INFN, Padova, Italy ` Behera, N.K. Inha U. Inha University, Incheon, Republic of Korea Belikov, I. Strasbourg, IPHC Universite de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France, Strasbourg, France ´ Benato, A. INFN, Padua INFN, Sezione di Padova, Padova, Italy Benettoni, M. INFN, Padua INFN, Sezione di Padova, Padova, Italy Benotto, F. U. Turin (main) INFN, Turin Dipartimento di Fisica dell’Universita and Sezione INFN, Turin, Italy ` Beole, S. U. Turin (main) INFN, Trieste Dipartimento di Fisica dell’Universita and Sezione INFN, Turin, Italy ` Bez, N. INFN, Padua INFN, Sezione di Padova, Padova, Italy Bhatti, A. COMSATS, Islamabad COMSATS University Islamabad, Islamabad, Pakistan Bhopal, M. COMSATS, Islamabad COMSATS University Islamabad, Islamabad, Pakistan Bigot, A.P. Strasbourg, IPHC Universite de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France, Strasbourg, France ´ Boca, G. Pavia U. INFN, Pavia Dipartimento di Fisica, Universita di Pavia, Pavia, Italy ` INFN, Sezione di Pavia, Pavia, Italy Bonomi, G. INFN, Pavia Brescia U. INFN, Sezione di Pavia, Pavia, Italy Universita di Brescia, Brescia, Italy ` Bonora, M. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Vecchia, F. Borotto Dalla INFN, Turin INFN, Sezione di Torino, Turin, Italy Borri, M. Daresbury Detector Systems Group, STFC Daresbury Laboratory, Daresbury, United Kingdom Borshchov, V. BITP, Kiev Bogolyubov Institute for Theoretical Physics, National Academy of Sciences of Ukraine, Kiev, Ukraine Botta, E. U. Turin (main) INFN, Turin Dipartimento di Fisica dell’Universita and Sezione INFN, Turin, Italy ` Boynton, L. Liverpool U. University of Liverpool, Liverpool, United Kingdom Brower, G. NIKHEF, Amsterdam Nikhef, National institute for subatomic physics, Amsterdam, Netherlands Bruna, E. INFN, Turin INFN, Sezione di Torino, Turin, Italy Cattarello, O. Brunasso INFN, Turin INFN, Sezione di Torino, Turin, Italy Bruno, G.E. Bari U. INFN, Bari Bari Polytechnic Dipartimento Interateneo di Fisica ‘M. Merlin’ and Sezione INFN, Bari, Italy Politecnico di Bari and Sezione INFN, Bari, Italy Buckland, M.D. Daresbury Detector Systems Group, STFC Daresbury Laboratory, Daresbury, United Kingdom Bufalino, S. INFN, Turin Turin Polytechnic Dipartimento DISAT del Politecnico and Sezione INFN, Turin, Italy Camerini, P. U. Trieste (main) INFN, Trieste Dipartimento di Fisica dell’Universita and Sezione INFN, Trieste, Italy ` Cariola, P. INFN, Bari INFN, Sezione di Bari, Bari, Italy Ceballos Sanchez, C. Unlisted Affiliated with an international laboratory covered by a cooperation agreement with CERN Cho, J. Inha U. Inha University, Incheon, Republic of Korea Cho, S. Inha U. Inha University, Incheon, Republic of Korea Choi, K. Pusan Natl. U. Department of Physics, Pusan National University, Pusan, Republic of Korea Choi, Y. Pusan Natl. U. Department of Physics, Pusan National University, Pusan, Republic of Korea Clague, N.J. Daresbury Nuclear Physics Group, STFC Daresbury Laboratory, Daresbury, United Kingdom Clausse, O.A. Strasbourg, IPHC Universite de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France, Strasbourg, France ´ Colamaria, F. INFN, Bari INFN, Sezione di Bari, Bari, Italy Colella, D. Bari U. INFN, Bari Dipartimento Interateneo di Fisica ‘M. Merlin’ and Sezione INFN, Bari, Italy Coli, S. INFN, Turin INFN, Sezione di Torino, Turin, Italy Collu, A. LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, California, United States Concas, M. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Contin, G. U. Trieste (main) INFN, Trieste Dipartimento di Fisica dell’Universita and Sezione INFN, Trieste, Italy ` Corrales Morales, Y. INFN, Turin INFN, Sezione di Torino, Turin, Italy Costanza, S. Pavia U. Dipartimento di Fisica, Universita di Pavia, Pavia, Italy ` Dainton, J.B. Liverpool U. Cockcroft Inst. Accel. Sci. Tech. University of Liverpool, Liverpool, United Kingdom Dane, E. Frascati INFN, Laboratori Nazionali di Frascati, Frascati, Italy Degraw, W. HVL, Norway Faculty of Engineering and Science, Western Norway University of Applied Sciences, Bergen, Norway De Martin, C. U. Trieste (main) INFN, Trieste Dipartimento di Fisica dell’Universita and Sezione INFN, Trieste, Italy ` Deng, W. Hua-Zhong Normal U. Central China Normal University, Wuhan, China De Robertis, G. INFN, Bari INFN, Sezione di Bari, Bari, Italy Dhankher, P. UC, Berkeley Department of Physics, University of California, Berkeley, California, United States Di Mauro, A. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Dumitrache, F. U. Turin (main) INFN, Turin Dipartimento di Fisica dell’Universita and Sezione INFN, Turin, Italy ` Elia, D. INFN, Bari INFN, Sezione di Bari, Bari, Italy Ersdal, M.R. Oslo U. Department of Physics, University of Oslo, Oslo, Norway Eum, J. Pusan Natl. U. Department of Physics, Pusan National University, Pusan, Republic of Korea Fantoni, A. Frascati INFN, Laboratori Nazionali di Frascati, Frascati, Italy Feofilov, G. Unlisted Affiliated with an institute formerly covered by a cooperation agreement with CERN Ferencei, J. Rez, Nucl. Phys. Inst. Nuclear Physics Institute of the Czech Academy of Sciences, Husinec-Reˇ z, Czech Republic ˇ Fichera, F. INFN, Catania INFN, Sezione di Catania, Catania, Italy Fiorenza, G. Bari U. INFN, Bari Dipartimento Interateneo di Fisica ‘M. Merlin’ and Sezione INFN, Bari, Italy INFN, Sezione di Bari, Bari, Italy Flores, A.N. Texas U. The University of Texas at Austin, Austin, Texas, United States Franco, A. INFN, Bari INFN, Sezione di Bari, Bari, Italy Franco, M. INFN, Bari INFN, Sezione di Bari, Bari, Italy Fransen, J.P. NIKHEF, Amsterdam Nikhef, National institute for subatomic physics, Amsterdam, Netherlands Gajanana, D. NIKHEF, Amsterdam Nikhef, National institute for subatomic physics, Amsterdam, Netherlands Perez, A. Galdames CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Gao, C. Hua-Zhong Normal U. Central China Normal University, Wuhan, China Gargiulo, C. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Garizzo, L. INFN, Padua INFN, Sezione di Padova, Padova, Italy Giubilato, P. Padua U. INFN, Padua Dipartimento di Fisica e Astronomia dell’Universita and Sezione INFN, Padova, Italy ` Goffe, M. Strasbourg, IPHC Universite de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France, Strasbourg, France ´ Grant, A. Daresbury Nuclear Physics Group, STFC Daresbury Laboratory, Daresbury, United Kingdom Grecka, E. Rez, Nucl. Phys. Inst. Nuclear Physics Institute of the Czech Academy of Sciences, Husinec-Reˇ z, Czech Republic ˇ Greiner, L. LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, California, United States Grelli, A. Utrecht U. Nikhef, Amsterdam Institute for Gravitational and Subatomic Physics (GRASP), Utrecht University/Nikhef, Utrecht, Netherlands Grimaldi, A. INFN, Catania INFN, Sezione di Catania, Catania, Italy Groettvik, O.S. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Grosa, F. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Hu, C. Guo Strasbourg, IPHC Universite de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France, Strasbourg, France ´ Hannigan, R.P. Texas U. The University of Texas at Austin, Austin, Texas, United States Helstrup, H. HVL, Norway Faculty of Technology, Environmental and Social Sciences, Bergen, Norway Hill, A. Daresbury Detector Systems Group, STFC Daresbury Laboratory, Daresbury, United Kingdom Hillemanns, H. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Hindley, P. Daresbury Nuclear Physics Group, STFC Daresbury Laboratory, Daresbury, United Kingdom Huang, G. Hua-Zhong Normal U. Central China Normal University, Wuhan, China Iannone, M. INFN, Rome Rome U. INFN, Sezione di Roma, Rome, Italy Iddon, J.P. CERN Liverpool U. European Organization for Nuclear Research (CERN), Geneva, Switzerland University of Liverpool, Liverpool, United Kingdom Ijzermans, P. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Imhoff, M.A. Strasbourg, IPHC Universite de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France, Strasbourg, France ´ Isakov, A. NIKHEF, Amsterdam Nikhef, National institute for subatomic physics, Amsterdam, Netherlands Jeong, J. Pusan Natl. U. Department of Physics, Pusan National University, Pusan, Republic of Korea Johnson, T. LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, California, United States Junique, A. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Kaewjai, J. Suranaree U. of Tech. Suranaree University of Technology, Nakhon Ratchasima, Thailand Keil, M. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Khabanova, Z. NIKHEF, Amsterdam Nikhef, National institute for subatomic physics, Amsterdam, Netherlands Khan, H. COMSATS, Islamabad COMSATS University Islamabad, Islamabad, Pakistan Kim, H. Pusan Natl. U. Department of Physics, Pusan National University, Pusan, Republic of Korea Kim, J. Yonsei U. Yonsei University, Seoul, Republic of Korea Kim, J. Inha U. Inha University, Incheon, Republic of Korea Kim, M. UC, Berkeley Department of Physics, University of California, Berkeley, California, United States Kim, T. Yonsei U. Yonsei University, Seoul, Republic of Korea Klein, J. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Kobdaj, C. Suranaree U. of Tech. Suranaree University of Technology, Nakhon Ratchasima, Thailand Kotliarov, A. Rez, Nucl. Phys. Inst. Nuclear Physics Institute of the Czech Academy of Sciences, Husinec-Reˇ z, Czech Republic ˇ Kraan, M.J. NIKHEF, Amsterdam Nikhef, National institute for subatomic physics, Amsterdam, Netherlands Kralik, I. Kosice, IEF Institute of Experimental Physics, Slovak Academy of Sciences, Kosice, Slovakia Krizek, F. Rez, Nucl. Phys. Inst. Nuclear Physics Institute of the Czech Academy of Sciences, Husinec-Reˇ z, Czech Republic ˇ Kugathasan, T. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Kuhn, C. Strasbourg, IPHC Universite de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France, Strasbourg, France ´ Kuijer, P.G. NIKHEF, Amsterdam Nikhef, National institute for subatomic physics, Amsterdam, Netherlands Kushpil, S. Rez, Nucl. Phys. Inst. Nuclear Physics Institute of the Czech Academy of Sciences, Husinec-Reˇ z, Czech Republic ˇ Kweon, M.J. Inha U. Inha University, Incheon, Republic of Korea Kwon, M. Pusan Natl. U. Department of Physics, Pusan National University, Pusan, Republic of Korea Kwon, Y. Yonsei U. Yonsei University, Seoul, Republic of Korea La Rocca, P. Catania U. INFN, Catania Dipartimento di Fisica e Astronomia dell’Universita and Sezione INFN, Catania, Italy ` Lacalamita, N. INFN, Bari INFN, Sezione di Bari, Bari, Italy Larionov, P. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Ledey, G. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Lee, S. Pusan Natl. U. Department of Physics, Pusan National University, Pusan, Republic of Korea Lee, T. Daresbury Nuclear Physics Group, STFC Daresbury Laboratory, Daresbury, United Kingdom Lemmon, R.C. Daresbury Nuclear Physics Group, STFC Daresbury Laboratory, Daresbury, United Kingdom Lesenechal, Y. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Lesser, E.D. UC, Berkeley Department of Physics, University of California, Berkeley, California, United States Liang-Gilman, B.E. UC, Berkeley Department of Physics, University of California, Berkeley, California, United States Librizzi, F. INFN, Catania INFN, Sezione di Catania, Catania, Italy Lim, B. INFN, Turin INFN, Sezione di Torino, Turin, Italy Lim, S. Pusan Natl. U. Department of Physics, Pusan National University, Pusan, Republic of Korea Lindsay, S. Liverpool U. University of Liverpool, Liverpool, United Kingdom Liu, J. Hua-Zhong Normal U. Central China Normal University, Wuhan, China Liu, J. Liverpool U. University of Liverpool, Liverpool, United Kingdom Loddo, F. INFN, Bari INFN, Sezione di Bari, Bari, Italy Lupi, M. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Mager, M. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Maire, A. Strasbourg, IPHC Universite de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France, Strasbourg, France ´ Mandaglio, G. Messina U. INFN, Catania Dipartimento di Scienze MIFT, Universita di Messina, Messina, Italy ` INFN, Sezione di Catania, Catania, Italy Manzari, V. INFN, Bari INFN, Sezione di Bari, Bari, Italy Markert, C. Texas U. The University of Texas at Austin, Austin, Texas, United States Markey, G. Daresbury Nuclear Physics Group, STFC Daresbury Laboratory, Daresbury, United Kingdom Marras, D. U. Cagliari (main) INFN, Cagliari Dipartimento di Fisica dell’Universita and Sezione INFN, Cagliari, Italy ` Martinengo, P. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Martiradonna, S. INFN, Bari INFN, Sezione di Bari, Bari, Italy Masera, M. Pisa U. INFN, Trieste Dipartimento di Fisica dell’Universita and Sezione INFN, Turin, Italy ` Mastroserio, A. INFN, Bari Foggia U. INFN, Sezione di Bari, Bari, Italy Universita degli Studi di Foggia, Foggia, Italy ` Mazza, G. INFN, Turin INFN, Sezione di Torino, Turin, Italy Mazzaro, D. INFN, Padua INFN, Sezione di Padova, Padova, Italy Mazzaschi, F. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Mazzilli, M. Bari U. INFN, Bari Houston U. Dipartimento Interateneo di Fisica ‘M. Merlin’ and Sezione INFN, Bari, Italy University of Houston, Houston, Texas, United States Mcalpine, L. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Mongelli, M. INFN, Bari INFN, Sezione di Bari, Bari, Italy Morant, J. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Morel, F. Strasbourg, IPHC Universite de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France, Strasbourg, France ´ Morrall, P. Daresbury Nuclear Physics Group, STFC Daresbury Laboratory, Daresbury, United Kingdom Muccifora, V. Frascati INFN, Laboratori Nazionali di Frascati, Frascati, Italy Mulliri, A. U. Cagliari (main) INFN, Cagliari Dipartimento di Fisica dell’Universita and Sezione INFN, Cagliari, Italy ` Musa, L. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Nambrath, A.I. UC, Berkeley Department of Physics, University of California, Berkeley, California, United States Obergger, M. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Orlandi, A. Frascati INFN, Laboratori Nazionali di Frascati, Frascati, Italy Palasciano, A. INFN, Bari INFN, Sezione di Bari, Bari, Italy Panero, R. INFN, Turin INFN, Sezione di Torino, Turin, Italy Paoletti, E. Frascati INFN, Laboratori Nazionali di Frascati, Frascati, Italy Pappalardo, G.S. INFN, Catania INFN, Sezione di Catania, Catania, Italy Parasole, O. Catania U. INFN, Catania Dipartimento di Fisica e Astronomia dell’Universita and Sezione INFN, Catania, Italy ` Park, J. Tsukuba U. University of Tsukuba, Tsukuba, Japan Passamonti, L. Frascati INFN, Laboratori Nazionali di Frascati, Frascati, Italy Pastore, C. INFN, Bari INFN, Sezione di Bari, Bari, Italy Patra, R.N. INFN, Bari INFN, Sezione di Bari, Bari, Italy Pellegrino, F. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Pepato, A. INFN, Padua INFN, Sezione di Padova, Padova, Italy Petta, C. Catania U. INFN, Catania Dipartimento di Fisica e Astronomia dell’Universita and Sezione INFN, Catania, Italy ` Piano, S. INFN, Trieste INFN, Sezione di Trieste, Trieste, Italy Pierluigi, D. Frascati INFN, Laboratori Nazionali di Frascati, Frascati, Italy Pisano, S. Frascati INFN, Laboratori Nazionali di Frascati, Frascati, Italy Ploskon, M. UC, Berkeley Department of Physics, University of California, Berkeley, California, United States Poblocki, M.T. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Politano, S. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Prakasa, E. HVL, Norway Faculty of Engineering and Science, Western Norway University of Applied Sciences, Bergen, Norway Prino, F. INFN, Turin INFN, Sezione di Torino, Turin, Italy Protsenko, M. BITP, Kiev Bogolyubov Institute for Theoretical Physics, National Academy of Sciences of Ukraine, Kiev, Ukraine Puccio, M. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Puggioni, C. Cagliari U. INFN, Cagliari Dipartimento di Fisica dell’Universita and Sezione INFN, Cagliari, Italy ` Rachevski, A. INFN, Trieste INFN, Sezione di Trieste, Trieste, Italy Ramello, L. INFN, Turin Piemonte Orientale U., Novara Universita del Piemonte Orientale, Vercelli, Italy ` INFN, Sezione di Torino, Turin, Italy Rasa, M. Catania U. INFN, Catania Dipartimento di Fisica e Astronomia dell’Universita and Sezione INFN, Catania, Italy ` Ravasenga, I. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Rehman, A.U. Oslo U. Department of Physics, University of Oslo, Oslo, Norway Reidt, F. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Richter, M. Bergen U. Department of Physics and Technology, University of Bergen, Bergen, Norway Riggi, F. Catania U. INFN, Catania Dipartimento di Fisica e Astronomia dell’Universita and Sezione INFN, Catania, Italy ` Rizzi, M. INFN, Bari INFN, Sezione di Bari, Bari, Italy Røed, K. Oslo U. Department of Physics, University of Oslo, Oslo, Norway Rohrich, D. Bergen U. Department of Physics and Technology, University of Bergen, Bergen, Norway Ronchetti, F. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Rossewij, M.J. NIKHEF, Amsterdam Nikhef, National institute for subatomic physics, Amsterdam, Netherlands Rossi, A. INFN, Padua INFN, Sezione di Padova, Padova, Italy Russo, A. Frascati INFN, Laboratori Nazionali di Frascati, Frascati, Italy Di Ruzza, B. INFN, Bari Foggia U. INFN, Sezione di Bari, Bari, Italy Universita degli Studi di Foggia, Foggia, Italy ` Sacca, G. INFN, Catania INFN, Sezione di Catania, Catania, Italy Sacchetti, M. INFN, Bari INFN, Sezione di Bari, Bari, Italy Sadikin, R. HVL, Norway Faculty of Engineering and Science, Western Norway University of Applied Sciences, Bergen, Norway Gonzalez, A. Sanchez CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Savino, U. U. Turin (main) INFN, Turin Dipartimento di Fisica dell’Universita and Sezione INFN, Turin, Italy ` Schambach, J. Oak Ridge Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States Schlepper, F. CERN Heidelberg U. European Organization for Nuclear Research (CERN), Geneva, Switzerland Physikalisches Institut, Ruprecht-Karls-Universitat Heidelberg, Heidelberg, German ¨ Schotter, R. Marietta Blau Inst., Vienna Marietta Blau Institute, Vienna, Austria Secouet, P.J. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Selina, M. NIKHEF, Amsterdam Nikhef, National institute for subatomic physics, Amsterdam, Netherlands Senyukov, S. Strasbourg, IPHC Universite de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France, Strasbourg, France ´ Seo, J.J. Heidelberg U. Physikalisches Institut, Ruprecht-Karls-Universitat Heidelberg, Heidelberg, German ¨ Shahoyan, R. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Shaukat, S. COMSATS, Islamabad COMSATS University Islamabad, Islamabad, Pakistan Shirokopetlev, F. BITP, Kiev Bogolyubov Institute for Theoretical Physics, National Academy of Sciences of Ukraine, Kiev, Ukraine Sielewicz, K. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Simantovic, G. NIKHEF, Amsterdam Nikhef, National institute for subatomic physics, Amsterdam, Netherlands Sitta, M. INFN, Turin Piemonte Orientale U., Novara Universita del Piemonte Orientale, Vercelli, Italy ` INFN, Sezione di Torino, Turin, Italy Snellings, R.J.M. Utrecht U. Nikhef, Amsterdam Institute for Gravitational and Subatomic Physics (GRASP), Utrecht University/Nikhef, Utrecht, Netherlands Snoeys, W. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Song, J. Pusan Natl. U. Department of Physics, Pusan National University, Pusan, Republic of Korea Sonneveld, J.M. NIKHEF, Amsterdam Nikhef, National institute for subatomic physics, Amsterdam, Netherlands Spijkers, R. NIKHEF, Amsterdam Nikhef, National institute for subatomic physics, Amsterdam, Netherlands Sturniolo, A. Messina U. INFN, Catania Dipartimento di Scienze MIFT, Universita di Messina, Messina, Italy ` INFN, Sezione di Catania, Catania, Italy Stylianidis, C.P. NIKHEF, Amsterdam Nikhef, National institute for subatomic physics, Amsterdam, Netherlands Suljic, M. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Sun, D. Hua-Zhong Normal U. Central China Normal University, Wuhan, China Sun, X. Hua-Zhong Normal U. Central China Normal University, Wuhan, China Syed, R.A. COMSATS, Islamabad COMSATS University Islamabad, Islamabad, Pakistan Szczepankiewicz, A. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Terrevoli, C. INFN, Bari INFN, Sezione di Bari, Bari, Italy Toppi, M. Frascati INFN, Laboratori Nazionali di Frascati, Frascati, Italy Trifiro, A. Messina U. INFN, Catania Dipartimento di Scienze MIFT, Universita di Messina, Messina, Italy ` INFN, Sezione di Catania, Catania, Italy Triolo, A.S. CERN INFN, Catania European Organization for Nuclear Research (CERN), Geneva, Switzerland INFN, Sezione di Catania, Catania, Italy Trogolo, S. U. Turin (main) INFN, Turin Dipartimento di Fisica dell’Universita and Sezione INFN, Turin, Italy ` Trubnikov, V. BITP, Kiev Bogolyubov Institute for Theoretical Physics, National Academy of Sciences of Ukraine, Kiev, Ukraine Turcato, M. INFN, Padua INFN, Sezione di Padova, Padova, Italy Turrisi, R. INFN, Padua INFN, Sezione di Padova, Padova, Italy Tveter, T. Oslo U. Department of Physics, University of Oslo, Oslo, Norway Tymchuk, I. BITP, Kiev Bogolyubov Institute for Theoretical Physics, National Academy of Sciences of Ukraine, Kiev, Ukraine Usai, G.L. U. Cagliari (main) INFN, Cagliari Dipartimento di Fisica dell’Universita and Sezione INFN, Cagliari, Italy ` Valentino, V. INFN, Bari INFN, Sezione di Bari, Bari, Italy Valle, N. INFN, Pavia INFN, Sezione di Pavia, Pavia, Italy Van Beelen, J.B. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Van Hoorne, J.W. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Vanat, T. Rez, Nucl. Phys. Inst. Nuclear Physics Institute of the Czech Academy of Sciences, Husinec-Reˇ z, Czech Republic ˇ Varga-Kofarago, M. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Velure, A. HVL, Norway Faculty of Engineering and Science, Western Norway University of Applied Sciences, Bergen, Norway Venier, G. INFN, Trieste INFN, Sezione di Trieste, Trieste, Italy Veronese, F. INFN, Padua INFN, Sezione di Padova, Padova, Italy Villani, A. U. Trieste (main) INFN, Trieste Dipartimento di Fisica dell’Universita and Sezione INFN, Trieste, Italy ` Viticchie, A. Frascati INFN, Laboratori Nazionali di Frascati, Frascati, Italy Wabnitz, C. Strasbourg, IPHC Universite de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France, Strasbourg, France ´ Wang, Y. Hua-Zhong Normal U. Central China Normal University, Wuhan, China Yang, P. Hua-Zhong Normal U. Central China Normal University, Wuhan, China Yeats, E.R. UC, Berkeley Department of Physics, University of California, Berkeley, California, United States Yoo, I.-K. Pusan Natl. U. Department of Physics, Pusan National University, Pusan, Republic of Korea Yoon, J.H. Inha U. Inha University, Incheon, Republic of Korea Yuan, S. Bergen U. Department of Physics and Technology, University of Bergen, Bergen, Norway Zaccolo, V. U. Trieste (main) INFN, Trieste Dipartimento di Fisica dell’Universita and Sezione INFN, Trieste, Italy ` Zampieri, A. U. Turin (main) INFN, Turin Dipartimento di Fisica dell’Universita and Sezione INFN, Turin, Italy ` Zampolli, C. CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Zhang, E. LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, California, United States Zhang, L. Hua-Zhong Normal U. Central China Normal University, Wuhan, China Zhang, X. Hua-Zhong Normal U. Central China Normal University, Wuhan, China Zhang, Z. Hua-Zhong Normal U. Central China Normal University, Wuhan, China Zherebchevskii, V. Unlisted Affiliated with an institute formerly covered by a cooperation agreement with CERN Zurlo, N. INFN, Pavia Brescia U. INFN, Sezione di Pavia, Pavia, Italy Universita di Brescia, Brescia, Italy ` ALICE ITS Collaboration 171354 Nucl. Instrum. Meth. A 1086 2026 2795186 60479 http://cds.cern.ch/record/2948748/files/avg_per_layer_sep_corrected_colorblind.png 00021 Threshold trend from March to July 2023 without (left) and with (right) correction of the HIC thresholds for changes in AVDD. The corrected thresholds were evaluated for ${\rm AVDD} = 1.8$ V. See text for more details. 2795187 6713589 http://cds.cern.ch/record/2948748/files/2510.27592.pdf Fulltext 2795188 28573 http://cds.cern.ch/record/2948748/files/ALL_sep_norm_offset_colorblind_labels.png 00027 Temperature distribution for every ITS2 chip, layer by layer. Few outliers are due to dead/excluded chips or missing/incorrect calibration parameters. The cooling-plant water temperature set at the moment of the measurement was 18.5 °C. The average value and standard deviation per layer as extracted from a Gaussian fit are shown in the legend. Distributions are normalised to their integral. 2795189 29363 http://cds.cern.ch/record/2948748/files/deadpix_fraction_559095_559105.png 00011 Percentage of bad pixels for every stave of ITS2 as extracted from a full threshold scan with thresholds tuned to 100 $e^-$. The fully non-working chips are excluded from the calculation. The number of chips per stave is 9, 112 and 196 for IB, ML, and OL staves, respectively. Vertical dashed lines separate the different layers, while the horizontal red lines are used as a reference to indicate the percentages corresponding to 100, 1000, and 10000 bad pixels per chip. See text for more details. 2795190 32369 http://cds.cern.ch/record/2948748/files/analogue_sub_v2.png 00000 Scheme of the ALPIDE in-pixel analogue front-end. 2795191 33088 http://cds.cern.ch/record/2948748/files/1D_noise.png 00010 Distributions of the pixel threshold (top) and temporal noise (bottom) for each ITS2 layer from two different full threshold scans, both recorded in June 2025. The red distributions refer to the case with thresholds tuned to 100 $e^-$ while the gray ones to the untuned case with the default settings for \texttt{ITHR} and \texttt{VCASN} (50 DAC for both). Distributions are normalized to their integral in order to have a direct comparison between the layers. The vertical dashed lines represent the average of the distributions. 2795192 35765 http://cds.cern.ch/record/2948748/files/tempRaw_tempChiller_L1_10_allmodules_label.png 00024 Temperature in ADC units vs. cooling water temperature for the 9 chips of an IB stave. Dashed lines represent linear fits performed to the data points of every chip. 2795193 427182 http://cds.cern.ch/record/2948748/files/ThrDist_untuned_564078_564085-1.png 00004 Pixel threshold distributions for every chip of ITS2 from two different full threshold scans, both recorded in June 2025. The top figure shows the untuned case where default settings for VCASN and ITHR (50 DACs) have been adopted. The bottom panel refers to the case where a threshold tuning to 100 $e^-$ has been performed. The $x$ axis of both plots is split into two parts: IB chips on the left, and OB ones on the right. The $y$ axis maximum is set to 450 $e^-$ since above this limit the threshold cannot be reliably extracted, given that the maximum injected change is 500 $e^-$. See text for more details on outlier chips. 2795194 48872 http://cds.cern.ch/record/2948748/files/alpide_functional_diagram.png 00001 Simplified schematic view of the ALPIDE pixel cell. 2795195 21028 http://cds.cern.ch/record/2948748/files/new_after_calibration_OLS_.png 00023 \texttt{AVDD} vs. \texttt{VTEMP} measurement with the internal ADC of the ALPIDE chips of an OB stave, for different voltage values set at the Power Unit. The black dashed line represents the linear fit to data for \texttt{AVDD}~$<$~1.72~V. 2795196 58528 http://cds.cern.ch/record/2948748/files/ThrAvgChip.png 00006 Distributions of the average chip thresholds in both the tuned and untuned cases. The vertical dashed line represents the target threshold of 100 $e^-$. The legend reports mean, standard deviation, and the number of entries in the underflow and overflow bins. See text for more details on outlier chips. 2795197 22267 http://cds.cern.ch/record/2948748/files/conversion_factor.png 00026 Temperature in ADC units vs. Time. This plot shows how the chip temperature rises at the moment of the stave power-on. Results refer to a single chip. The black lines represent the linear fits in the rising part and in the constant part of the curve. 2795198 55326 http://cds.cern.ch/record/2948748/files/ToA_561716.png 00015 Left panel: distribution of the ToA of the ALPIDE analogue pulse calculated chip by chip as an average of 1024 values coming from the pulse shape scan of 1 pixel row. Right panel: distribution of the ToT of the ALPIDE analogue pulse calculated chip by chip as an average of 1024 values coming from the pulse shape scan of 1 pixel row. Thresholds were tuned to 100 $e^-$ for this measurement, and a charge of 300 $e^-$ was injected in the pixels. Error bars correspond to Poissonian errors of the counts. 2795199 27695 http://cds.cern.ch/record/2948748/files/noisypix_fraction_543014.png 00012 Percentage of noisy pixels for every detector stave in a noise scan performed in September 2023 after a threshold tuning to 100 $e^-$. The number of chips per stave is 9, 112 and 196 for IB, ML, and OL staves, respectively. Vertical dashed lines separate the different layers, while the horizontal red line is used as a reference to indicate the percentage corresponding to 50 noisy pixels per chip. 2795200 235417 http://cds.cern.ch/record/2948748/files/NoiseDist_untuned_564078_564085-1.png 00007 Pixel temporal noise distributions for every chip of ITS2 from two different full threshold scans, both recorded in June 2025. The top figure shows the untuned case where default settings for VCASN and ITHR (50 DACs) have been adopted. The bottom panel refers to the case where a threshold tuning to 100 $e^-$ has been performed. The $x$ axis of both plots is split into two parts: IB chips on the left (chip ID from 0 to 431) and OB ones on the right (chip ID from 432 to 24119). See text for more details on outlier chips. 2795201 41066 http://cds.cern.ch/record/2948748/files/FHR_01Aug.png 00022 Trend of the fake-hit rate averaged for every detector layer. Cosmic runs in different periods are used to determine the fake-hit rate. The error bars represent half of the difference between the maximum and minimum fake-hit rate of the chips in a given layer. See the text for more details on the four different periods separated by vertical dashed lines. 2795202 104846 http://cds.cern.ch/record/2948748/files/noise_per_layer_paper_colorblind.png 00018 Evolution of the average in-pixel temporal noise per layer, from March 2023 to November 2024. The temporal noise is extracted from threshold scan runs recorded either during long (weeks) periods without beam or at the end of every LHC fill once the beam is dumped. The error bar for the noise is calculated as the ratio between the standard deviation and the square root of the number of entries in the per-pixel noise distributions. The gray bands indicate long periods without beam collisions, the green and orange bands indicate periods with pp and Pb--Pb collisions, respectively. For each band, the value of the integrated luminosity delivered to ALICE during the corresponding period is reported. 2795203 83214 http://cds.cern.ch/record/2948748/files/th2DdiffAVDDHICvsTHR_allRuns_.png 00019 Threshold difference per HIC between a set of consecutive runs vs. the \texttt{AVDD} difference for the same runs. The black line represents the linear fit to the data where $m$ and $q$ are its slope and offset, respectively. 2795204 47411 http://cds.cern.ch/record/2948748/files/temp_avdd_all_chip_L1_10_labels.png 00025 Measured temperature in ADC Units vs. AVDD value for the 9 chips of an IB stave. The cooling water temperature was set at 18.5 °C. The AVDD values are measured at the PU. Dashed lines represent linear fits performed to the data points of every chip. For high AVDD values, the circuitry saturates at 0 ADC units. These points were excluded from the AVDD calibration. 2795205 50108 http://cds.cern.ch/record/2948748/files/Tot_561716.png 00016 Left panel: distribution of the ToA of the ALPIDE analogue pulse calculated chip by chip as an average of 1024 values coming from the pulse shape scan of 1 pixel row. Right panel: distribution of the ToT of the ALPIDE analogue pulse calculated chip by chip as an average of 1024 values coming from the pulse shape scan of 1 pixel row. Thresholds were tuned to 100 $e^-$ for this measurement, and a charge of 300 $e^-$ was injected in the pixels. Error bars correspond to Poissonian errors of the counts. 2795206 153587 http://cds.cern.ch/record/2948748/files/avg_per_layer_paper_colorblind.png 00017 Evolution of the average in-pixel thresholds per layer, from March 2023 to November 2024. All the threshold runs are recorded either during long (weeks) periods without beam or at the end of every LHC fill once the beam is dumped. The error bar for the threshold is calculated as the ratio between the standard deviation and the square root of the number of entries in the per-chip threshold distributions. For the majority of the data points, the error bar is smaller than the marker size. The gray bands indicate the long periods without beam collisions, the green and orange bands indicate periods with pp and Pb--Pb collisions, respectively. For each band, the value of the integrated luminosity delivered to ALICE during the corresponding period is reported. 2795207 247009 http://cds.cern.ch/record/2948748/files/ThrDist_tuned_564068_564071-1.png 00005 Pixel threshold distributions for every chip of ITS2 from two different full threshold scans, both recorded in June 2025. The top figure shows the untuned case where default settings for VCASN and ITHR (50 DACs) have been adopted. The bottom panel refers to the case where a threshold tuning to 100 $e^-$ has been performed. The $x$ axis of both plots is split into two parts: IB chips on the left, and OB ones on the right. The $y$ axis maximum is set to 450 $e^-$ since above this limit the threshold cannot be reliably extracted, given that the maximum injected change is 500 $e^-$. See text for more details on outlier chips. 2795208 80891 http://cds.cern.ch/record/2948748/files/VRESETD_colorblind.png 00013 Results from the \texttt{VRESETD two-dimensional scan} recorded in July 2023. The $x$ axis represents the value at which the \texttt{VRESETD} DAC is set, the $y$ axis represents the average threshold per layer in $e^-$. The error bars on the average thresholds are estimated as the standard deviation of the average chip threshold distribution per layer at a given \texttt{VRESETD} divided by the square root of the number of entries in the distribution. The bars are smaller than the marker size. The solid black line indicates the DAC setting in use since 2023 during standard operations. The dashed black line indicates the DAC setting used until 2022. 2795209 212544 http://cds.cern.ch/record/2948748/files/NoiseDist_tuned_564068_564071-1.png 00008 Pixel temporal noise distributions for every chip of ITS2 from two different full threshold scans, both recorded in June 2025. The top figure shows the untuned case where default settings for VCASN and ITHR (50 DACs) have been adopted. The bottom panel refers to the case where a threshold tuning to 100 $e^-$ has been performed. The $x$ axis of both plots is split into two parts: IB chips on the left (chip ID from 0 to 431) and OB ones on the right (chip ID from 432 to 24119). See text for more details on outlier chips. 2795210 175746 http://cds.cern.ch/record/2948748/files/ITS_scheme_v3.png 00003 Sketch of the ITS2 hardware and software chain needed to run and analyse calibration scans. 2795211 33490 http://cds.cern.ch/record/2948748/files/1D_threshold.png 00009 Distributions of the pixel threshold (top) and temporal noise (bottom) for each ITS2 layer from two different full threshold scans, both recorded in June 2025. The red distributions refer to the case with thresholds tuned to 100 $e^-$ while the gray ones to the untuned case with the default settings for \texttt{ITHR} and \texttt{VCASN} (50 DAC for both). Distributions are normalized to their integral in order to have a direct comparison between the layers. The vertical dashed lines represent the average of the distributions. 2795212 65938 http://cds.cern.ch/record/2948748/files/avg_per_layer_sep_notcorrected_colorblind.png 00020 Threshold trend from March to July 2023 without (left) and with (right) correction of the HIC thresholds for changes in AVDD. The corrected thresholds were evaluated for ${\rm AVDD} = 1.8$ V. See text for more details. 2795213 28008 http://cds.cern.ch/record/2948748/files/scurve.png 00002 Number of hits normalized to the number of injections per charge point as a function of the injected charge (in electrons) for a pixel of ITS2 in a threshold scan. The errors are evaluated as Binomial errors based on the Clopper--Pearson~\cite{Clopper:1934sws} method with a confidence level of 68.27\%, as provided by the ROOT \texttt{TEfficiency} class~\cite{tefficiency}. The red line represents a fit to the data performed with an error function. See text for more details. 2795214 43642 http://cds.cern.ch/record/2948748/files/PL2Dplot.png 00014 Two-dimensional histogram showing the injected charge as a function of the strobe delay for a pixel of ITS2. The colored scale refers to the number of hits recorded for each charge--delay pair. The ALPIDE is operated with the maximum signal clipping (\texttt{VCLIP} $=$ 0 DAC units) and the pixel under study has a tuned threshold of about 100 $e^-$. The double arrows indicate the time-over-threshold for a charge of 800 $e^-$ and the \textit{time walk}. See text for more details. 13 ARTICLE 2948329 SzGeCERN 20260321014703.0 oai:cds.cern.ch:2948329 cerncds:FULLTEXT cerncds:CERN:FULLTEXT INIS cerncds:CERN DOI 10.22323/1.485.0527 Inspire 3131869 CMS-CR-2025-193 eng de Souza Fonseca, Sandro XX YY Rio de Janeiro State U. Highlights on Searches for Environmentally Friendly Gases in the CMS RPC System 2025 Geneva CERN 28 Sep 2025 6 p The Resistive Plate Chambers (RPC) of the Compact Muon Experiment (CMS) experiment at the Large Hadron Collider (LHC) operates with a gas mixture composed of 95.2$\%$ of C$_2$H$_2$F$_4$, a greenhouse gas with high Global-Warming Potential (GWP). In recent years, several eco-friendly alternatives, such as hydrofluoroolefins (HFOs), have been investigated to identify sustainable replacements that preserve the detector performance. Another promising approach is to partially replace C$_2$H$_2$F$_4$ with CO$_2$,reducing the mixture's GWP by 30-40 $\%$. These studies are being performed at the CERN Gamma Irradiation Facility (GIF++), which replicates the radiation conditions expected during the High-Luminosity Phase-2 data taking at the Large Hadron Collider (HL-LHC), using an 11.5 TBq gamma source and a muon beam. Updated results are presented on the performance of two 1.4 mm double-gap RPC chambers operating with various alternative gas mixtures under high-rate gamma irradiation. Results are also presented on RPC aging studies with these alternative gas mixtures, providing a deeper insight into the long-term performance and stability for the future of the RPC muon system. Publication CC-BY-NC-ND-4.0 https://creativecommons.org/licenses/by-nc-nd/4.0/ Publication The Author(s) 2026 CERN EDS For annual report SzGeCERN Detectors and Experimental Techniques CMS General INTNOTE ARTICLE CERN PUBLCMS CERN LHC CMS Thiel, Mauricio Rio de Janeiro State U. Pinheiro, João Pedro G. Rio de Janeiro State U. de Andrade Rangel Monteiro, Thiago Rio de Janeiro State U. PH CMS Collaboration C25-07-07 2794006 4572060 http://cds.cern.ch/record/2948329/files/CR2025_193.pdf 2821169 4504937 http://cds.cern.ch/record/2948329/files/Publication.pdf Publication 2821169 165450 http://cds.cern.ch/record/2948329/files/Publication.jpg?subformat=icon-1440 icon-1440 Publication 2821169 165450 http://cds.cern.ch/record/2948329/files/Publication.jpg?subformat=icon-640 icon-640 Publication 2821169 165450 http://cds.cern.ch/record/2948329/files/Publication.jpg?subformat=icon-700 icon-700 Publication 2821169 72362 http://cds.cern.ch/record/2948329/files/Publication.gif?subformat=icon icon Publication 2821169 75531 http://cds.cern.ch/record/2948329/files/Publication.jpg?subformat=icon-180 icon-180 Publication n 202546 13 2929495 marseille20250707 PUBLIC INTNOTECMSPUBL ConferencePaper ARTICLE 2947666 SzGeCERN 20260417091053.0 DOI Elsevier Ltd 10.1016/j.optlastec.2025.113767 publication oai:cds.cern.ch:2947666 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2025-11-01T05:00:02Z marcxml oai:inspirehep.net:2966162 2025-10-31T14:25:24Z Inspire 2966162 eng Marcon, Leonardo ORCID:0000-0003-0767-5257 U. Padua (main) Unlisted, CH Coherent II-VI Laser Enterprise GmbH, Binzstrasse 17, Zürich, 8045, Switzerland Elsevier Ltd Monitoring of a high temperature superconducting magnet by means of distributed optical fiber sensing 2025 8 p Elsevier Ltd Distributed optical fiber sensor is a unique technology that offers unprecedented advantages and performance especially in those experimental fields where the environmental harshness limits the applicability of standard sensors. By measuring the faint light backscattered by the fiber in response to a well-tailored probing signal, distributed sensors allow mapping the variation of physical parameters along the fiber path with high spatial resolution. In this work we report on the application of this technology to the monitoring of a complete mockup prototype of high-temperature superconducting magnet, developed for the future High Luminosity Large Hadron Collider at CERN. Four optical fibers have been embedded in different areas of the magnet and have been measured by optical frequency-domain reflectometry. The magnet was first monitored during the cooling phase from room temperature down to 4.5 K; results show that, despite the huge temperature variation, the structure reacts uniformly, without suffering from localized thermal stress, confirming the design targets. In a second phase, the magnet was monitored while it was powered with electric currents up to 2.5 kA, at the operational temperature of 50 K. In this case results show non-negligible localized strain accumulations due to the Lorentz forces, which are marginally higher than what was expected by design. The experiment confirms the unique advantages that distributed optical fiber sensors offer to both the design and operation control of structures as critical and complex as superconducting magnets. publication CC BY-NC-ND 4.0 http://creativecommons.org/licenses/by-nc-nd/4.0/ Other The Authors publication 2025 SzGeCERN Detectors and Experimental Techniques Author Optical fibers Author Sensors Author Magnets Author Superconductivity Author Cryogenic temperature ARTICLE CERN Castaldo, Bernardo CERN Chiuchiolo, Antonella CERN INFN, Salerno INFN-Napoli, Gr. Collegato Salerno, Fisciano, 80084, Italy Van Nugteren, Jeroen ORCID:0000-0001-8072-7725 CERN Unlisted, CH Little Beast Engineering, Zürich, 8045, Switzerland Bajas, Hugues CERN Kirby, Glyn CERN Galtarossa, Andrea U. Padua (main) Bajko, Marta CERN Palmieri, Luca ORCID:0000-0001-7187-570X luca.palmieri@unipd.it U. Padua (main) 113767 publication 2025 Opt. Laser Technol. 192 2792454 3586724 http://cds.cern.ch/record/2947666/files/document.pdf Fulltext 13 ARTICLE 2951756 20260126213731.0 DOI IOP 10.3847/1538-4357/ae2c4e publication oai:cds.cern.ch:2951756 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2512.16562 Inspire oai:inspirehep.net:3094163 2026-01-23T12:41:20Z 2026-01-24T03:00:02Z marcxml true https://inspirehep.net/api/oai2d Inspire 3094163 arXiv arXiv:2512.16562 astro-ph.HE eng Abhir, J. Zurich, ETH ETH Zürich, CH-8093 Zürich, Switzerland IOP Prompt Searches for Very-High-Energy γ-Ray Counterparts to IceCube Astrophysical Neutrino Alerts 2026-01-20 2025-12-18 37 p IOP The search for sources of high-energy astrophysical neutrinos can be significantly advanced through a multimessenger approach, which seeks to detect the γ-rays that accompany neutrinos as they are produced at their sources. Multimessenger observations have so far provided the first evidence for a neutrino source, illustrated by the joint detection of the flaring blazar TXS 0506+056 in high-energy (E > 1 GeV) and very-high-energy (VHE; E > 100 GeV) γ-rays in coincidence with the high-energy neutrino IceCube-170922A, identified by IceCube. Imaging atmospheric Cherenkov telescopes (IACTs), namely FACT, H.E.S.S., MAGIC, and VERITAS, continue to conduct extensive neutrino target-of-opportunity follow-up programs. These programs have two components: follow-up observations of single astrophysical neutrino candidate events (such as IceCube-170922A), and observation of known γ-ray sources after the identification of a cluster of neutrino events by IceCube. Here we present a comprehensive analysis of follow-up observations of high-energy neutrino events observed by the four IACTs between 2017 September (after the IceCube-170922A event) and 2021 January. Our study found no associations between γ-ray sources and the observed neutrino events. We provide a detailed overview of each neutrino event and its potential counterparts. Furthermore, a joint analysis of all IACT data is included, yielding combined upper limits on the VHE γ-ray flux. arXiv The search for sources of high-energy astrophysical neutrinos can be significantly advanced through a multi-messenger approach, which seeks to detect the gamma rays that accompany neutrinos as they are produced at their sources. Multi-messenger observations have so far provided the first evidence for a neutrino source, illustrated by the joint detection of the flaring blazar TXS 0506+056 in highenergy (HE, E > 1 GeV) and very-high-energy (VHE, E > 100 GeV) gamma rays in coincidence with the high-energy neutrino IceCube-170922A, identified by IceCube. Imaging atmospheric Cherenkov telescopes (IACTs), namely FACT, H.E.S.S., MAGIC, and VERITAS, continue to conduct extensive neutrino target-of-opportunity follow-up programs. These programs have two components: followup observations of single astrophysical neutrino candidate events (such as IceCube-170922A), and observation of known gamma-ray sources after the identification of a cluster of neutrino events by IceCube. Here we present a comprehensive analysis of follow-up observations of high-energy neutrino events observed by the four IACTs between September 2017 (after the IceCube-170922A event) and January 2021. Our study found no associations between gamma-ray sources and the observed neutrino events. We provide a detailed overview of each neutrino event and its potential counterparts. Furthermore, a joint analysis of all IACT data is included, yielding combined upper limits on the VHE gamma-ray flux. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ publication CC-BY-4.0 IOP https://creativecommons.org/licenses/by/4.0/ arXiv hepcrawl 2025-12-20T04:01:12.449987 11221266 publication The Author(s) 2026 SzGeCERN Astrophysics and Astronomy CERN ARTICLE Biland, A. Zurich, ETH ETH Zürich, CH-8093 Zürich, Switzerland Brand, K. Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Bretz, T. ORCID:0000-0003-1500-6571 Zurich, ETH ETH Zürich, CH-8093 Zürich, Switzerland Dorner, D. Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Eisenberger, L. Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Elsaesser, D. Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Günther, P. Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Hasan, S. Zurich, ETH ETH Zürich, CH-8093 Zürich, Switzerland Hildebrand, D. Zurich, ETH ETH Zürich, CH-8093 Zürich, Switzerland Mannheim, K. Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Linhoff, M. Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Pfeifle, F. Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Rhode, W. Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Schleicher, B. Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Sliusar, V. Geneva U. University of Geneva, Chemin d’Ecogia 16, CH-1290 Versoix, Switzerland Vorbrugg, M. Wurzburg U. Universität Würzburg, D-97074 Würzburg, Germany Walter, R. Geneva U. University of Geneva, Chemin d’Ecogia 16, CH-1290 Versoix, Switzerland Aharonian, F. Dublin Inst. Heidelberg, Max Planck Inst. Yerevan State U. Dublin Institute for Advanced Studies, 31 Fitzwilliam Place, Dublin 2, Ireland Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany Yerevan State University, 1 Alek Manukyan St, Yerevan 0025, Armenia Benkhali, F. Ait Heidelberg Observ. Landessternwarte, Universität Heidelberg, Königstuhl, D 69117 Heidelberg, Germany Aschersleben, J. Kapteyn Astron. Inst., Groningen Kapteyn Astronomical Institute, University of Groningen, Landleven 12, 9747 AD Groningen, The Netherlands Ashkar, H. ORCID:0000-0002-2153-1818 Ecole Polytechnique Laboratoire Leprince-Ringuet, École Polytechnique, CNRS, Institut Polytechnique de Paris, F-91128 Palaiseau, France Backes, M. ORCID:0000-0002-9326-6400 Namibia U. Potchefstroom U. University of Namibia, Department of Physics, Private Bag 13301, Windhoek 10005, Namibia Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Barbosa Martins, V. ORCID:0000-0002-5085-8828 DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany Batzofin, R. ORCID:0000-0002-5797-3386 U. Potsdam (main) Institut für Physik und Astronomie, Universität Potsdam, Karl-Liebknecht-Strasse 24/25, D 14476 Potsdam, Germany Becherini, Y. ORCID:0000-0002-2115-2930 APC, Paris Linkoping U. Université Paris Cité, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Department of Physics and Electrical Engineering, Linnaeus University, 351 95 Växjö, Sweden Berge, D. ORCID:0000-0002-2918-1824 Humboldt U., Berlin DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany Institut für Physik, Humboldt-Universität zu Berlin, Newtonstr. 15, D 12489 Berlin, Germany Böttcher, M. ORCID:0000-0002-8434-5692 Potchefstroom U. Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Boisson, C. ORCID:0000-0001-5893-1797 LUX, Meudon LUX, Observatoire de Paris, Université PSL, Sorbonne Université, CNRS, 92190 Meudon, France Bolmont, J. LPNHE, Paris Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies, LPNHE, 4 place Jussieu, 75005 Paris, France Borowska, J. Humboldt U., Berlin Institut für Physik, Humboldt-Universität zu Berlin, Newtonstr. 15, D 12489 Berlin, Germany Brose, R. ORCID:0000-0002-8312-6930 U. Potsdam (main) Institut für Physik und Astronomie, Universität Potsdam, Karl-Liebknecht-Strasse 24/25, D 14476 Potsdam, Germany Brown, A. JAI, UK University of Oxford, Department of Physics, Denys Wilkinson Building, Keble Road, Oxford OX1 3RH, UK Brun, F. ORCID:0000-0003-0770-9007 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France Bruno, B. Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Nikolaus-Fiebiger-Str. 2, 91058 Erlangen, Germany Casanova, S. ORCID:0000-0002-6144-9122 Cracow, INP Instytut Fizyki Ja̧drowej PAN, ul. Radzikowskiego 152, 31-342 Kraków, Poland Celic, J. Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Nikolaus-Fiebiger-Str. 2, 91058 Erlangen, Germany Cerruti, M. ORCID:0000-0001-7891-699X APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Chen, A. ORCID:0000-0001-6425-5692 U. Witwatersrand, Johannesburg, Sch. Phys. School of Physics, University of the Witwatersrand, 1 Jan Smuts Avenue, Braamfontein, Johannesburg, 2050, South Africa Chernyakova, M. Dublin Inst. Dublin Institute for Advanced Studies, 31 Fitzwilliam Place, Dublin 2, Ireland Chibueze, J. Potchefstroom U. Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Chibueze, O. Potchefstroom U. Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Cornejo, B. IRFU, Saclay IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France Cotter, G. ORCID:0000-0002-9975-1829 JAI, UK University of Oxford, Department of Physics, Denys Wilkinson Building, Keble Road, Oxford OX1 3RH, UK Cozzolongo, G. Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Nikolaus-Fiebiger-Str. 2, 91058 Erlangen, Germany Mbarubucyeye, J. Damascene ORCID:0000-0002-4991-6576 DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany de Assis Scarpin, J. Ecole Polytechnique Laboratoire Leprince-Ringuet, École Polytechnique, CNRS, Institut Polytechnique de Paris, F-91128 Palaiseau, France Giles, A. Delgado Humboldt U., Berlin Institut für Physik, Humboldt-Universität zu Berlin, Newtonstr. 15, D 12489 Berlin, Germany Djannati-Atäı, A. ORCID:0000-0002-4924-1708 APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Djuvsland, J. Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany Dmytriiev, A. Potchefstroom U. Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Egberts, K. U. Potsdam (main) Institut für Physik und Astronomie, Universität Potsdam, Karl-Liebknecht-Strasse 24/25, D 14476 Potsdam, Germany Egg, K. Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Nikolaus-Fiebiger-Str. 2, 91058 Erlangen, Germany Einecke, S. Adelaide U. School of Physical Sciences, University of Adelaide, Adelaide 5005, Australia Ernenwein, J.-P. Marseille, CPPM Aix Marseille Université, CNRS/IN2P3, CPPM, Marseille, France Nieves, C. Escañuela Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany Feijen, K. APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Filipovic, M. Western Sydney U., Hawkesbury School of Science, Western Sydney University, Locked Bag 1797, Penrith South DC, NSW 2751, Australia Fontaine, G. ORCID:0000-0002-6443-5025 Ecole Polytechnique Laboratoire Leprince-Ringuet, École Polytechnique, CNRS, Institut Polytechnique de Paris, F-91128 Palaiseau, France Funk, S. ORCID:0000-0002-2012-0080 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Nikolaus-Fiebiger-Str. 2, 91058 Erlangen, Germany Gabici, S. APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Glicenstein, J.F. ORCID:0000-0003-2581-1742 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France Goswami, P. APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Grolleron, G. LPNHE, Paris Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies, LPNHE, 4 place Jussieu, 75005 Paris, France Hess, B. Tubingen U., IAAT Institut für Astronomie und Astrophysik, Universität Tübingen, Sand 1, D 72076 Tübingen, Germany Hinton, J.A. Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany Holler, M. Innsbruck U. Universität Innsbruck, Institut für Astro- und Teilchenphysik, Technikerstraße 25, 6020 Innsbruck, Austria Jamrozy, M. ORCID:0000-0002-0870-7778 Jagiellonian U. Obserwatorium Astronomiczne, Uniwersytet Jagielloński, ul. Orla 171, 30-244 Kraków, Poland Jankowsky, F. Heidelberg Observ. Landessternwarte, Universität Heidelberg, Königstuhl, D 69117 Heidelberg, Germany Jung-Richardt, I. Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Nikolaus-Fiebiger-Str. 2, 91058 Erlangen, Germany Kasai, E. Namibia U. University of Namibia, Department of Physics, Private Bag 13301, Windhoek 10005, Namibia Katarzyński, K. Torun, Copernicus Astron. Ctr. Institute of Astronomy, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, Grudziadzka 5, 87-100 Torun, Poland Katjaita, H. Namibia U. University of Namibia, Department of Physics, Private Bag 13301, Windhoek 10005, Namibia Kerszberg, D. LPNHE, Paris Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies, LPNHE, 4 place Jussieu, 75005 Paris, France Khatoon, R. Potchefstroom U. Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Khélifi, B. ORCID:0000-0001-6876-5577 APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Kluźniak, W. Warsaw, Copernicus Astron. Ctr. Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, ul. Bartycka 18, 00-716 Warsaw, Poland Komin, Nu. ORCID:0000-0003-3280-0582 U. Montpellier 2, LUPM U. Witwatersrand, Johannesburg, Sch. Phys. School of Physics, University of the Witwatersrand, 1 Jan Smuts Avenue, Braamfontein, Johannesburg, 2050, South Africa Laboratoire Univers et Particules de Montpellier, Université Montpellier, CNRS/IN2P3, CC 72, Place Eugène Bataillon, F-34095 Montpellier Cedex 5, France Konno, R. ORCID:0000-0003-1892-2356 DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany Kosack, K. IRFU, Saclay IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France Kostunin, D. ORCID:0000-0002-0487-0076 DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany Mezek, G. Kukec ORCID:0000-0001-8461-1922 Linkoping U. Department of Physics and Electrical Engineering, Linnaeus University, 351 95 Växjö, Sweden Lang, R.G. Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Nikolaus-Fiebiger-Str. 2, 91058 Erlangen, Germany Lemière, A. APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Lemoine-Goumard, M. ORCID:0000-0002-4462-3686 LP2I, Bordeaux Université Bordeaux, CNRS, LP2I Bordeaux, UMR 5797, F-33170 Gradignan, France Lenain, J.-P. ORCID:0000-0001-7284-9220 LPNHE, Paris Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies, LPNHE, 4 place Jussieu, 75005 Paris, France Luashvili, A. ORCID:0000-0003-4384-1638 Potchefstroom U. Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Mackey, J. ORCID:0000-0002-5449-6131 Dublin Inst. Dublin Institute for Advanced Studies, 31 Fitzwilliam Place, Dublin 2, Ireland Marandon, V. ORCID:0000-0001-9077-4058 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France Mart́ı-Devesa, G. ORCID:0000-0003-0766-6473 Innsbruck U. Universität Innsbruck, Institut für Astro- und Teilchenphysik, Technikerstraße 25, 6020 Innsbruck, Austria Marx, R. ORCID:0000-0002-6557-4924 Heidelberg Observ. Landessternwarte, Universität Heidelberg, Königstuhl, D 69117 Heidelberg, Germany Mayer, M. Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Nikolaus-Fiebiger-Str. 2, 91058 Erlangen, Germany Mehta, A. DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany Mitchell, A. ORCID:0000-0003-3631-5648 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Nikolaus-Fiebiger-Str. 2, 91058 Erlangen, Germany Moderski, R. Warsaw, Copernicus Astron. Ctr. Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, ul. Bartycka 18, 00-716 Warsaw, Poland Moghadam, M.O. U. Potsdam (main) Institut für Physik und Astronomie, Universität Potsdam, Karl-Liebknecht-Strasse 24/25, D 14476 Potsdam, Germany Mohrmann, L. ORCID:0000-0002-9667-8654 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany Moulin, E. ORCID:0000-0003-4007-0145 IRFU, Saclay IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France de Naurois, M. Ecole Polytechnique Laboratoire Leprince-Ringuet, École Polytechnique, CNRS, Institut Polytechnique de Paris, F-91128 Palaiseau, France Niemiec, J. ORCID:0000-0001-6036-8569 Cracow, INP Instytut Fizyki Ja̧drowej PAN, ul. Radzikowskiego 152, 31-342 Kraków, Poland de Ona Wilhelmi, E. DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany Panny, S. ORCID:0000-0001-5770-3805 Innsbruck U. Universität Innsbruck, Institut für Astro- und Teilchenphysik, Technikerstraße 25, 6020 Innsbruck, Austria Panter, M. Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany Parsons, R.D. ORCID:0000-0003-3457-9308 Humboldt U., Berlin Institut für Physik, Humboldt-Universität zu Berlin, Newtonstr. 15, D 12489 Berlin, Germany Pensec, U. LPNHE, Paris Sorbonne Université, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies, LPNHE, 4 place Jussieu, 75005 Paris, France Pichard, P. APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Pühlhofer, G. ORCID:0000-0003-4632-4644 Tubingen U., IAAT Institut für Astronomie und Astrophysik, Universität Tübingen, Sand 1, D 72076 Tübingen, Germany Punch, M. ORCID:0000-0002-4710-2165 APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Quirrenbach, A. Heidelberg Observ. Landessternwarte, Universität Heidelberg, Königstuhl, D 69117 Heidelberg, Germany Regeard, M. APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Reimer, O. Innsbruck U. Universität Innsbruck, Institut für Astro- und Teilchenphysik, Technikerstraße 25, 6020 Innsbruck, Austria Ren, H. Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany Rieger, F. Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany Rowell, G. ORCID:0000-0002-9516-1581 Adelaide U. School of Physical Sciences, University of Adelaide, Adelaide 5005, Australia Rudak, B. ORCID:0000-0003-0452-3805 Warsaw, Copernicus Astron. Ctr. Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, ul. Bartycka 18, 00-716 Warsaw, Poland Sabri, K. U. Montpellier 2, LUPM Laboratoire Univers et Particules de Montpellier, Université Montpellier, CNRS/IN2P3, CC 72, Place Eugène Bataillon, F-34095 Montpellier Cedex 5, France Sahakian, V. ORCID:0000-0003-1198-0043 Yerevan Phys. Inst. Yerevan Physics Institute, 2 Alikhanian Brothers Street, 0036 Yerevan, Armenia Salzmann, H. Tubingen U., IAAT Institut für Astronomie und Astrophysik, Universität Tübingen, Sand 1, D 72076 Tübingen, Germany Sasaki, M. ORCID:0000-0001-5302-1866 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Nikolaus-Fiebiger-Str. 2, 91058 Erlangen, Germany Schäfer, J. Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Nikolaus-Fiebiger-Str. 2, 91058 Erlangen, Germany Schüssler, F. IRFU, Saclay IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France Schutte, H.M. ORCID:0000-0002-1769-5617 Potchefstroom U. Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Senniappan, M. ORCID:0000-0001-6734-7699 Linkoping U. Department of Physics and Electrical Engineering, Linnaeus University, 351 95 Växjö, Sweden Shapopi, J.N.S. ORCID:0000-0002-7130-9270 Namibia U. University of Namibia, Department of Physics, Private Bag 13301, Windhoek 10005, Namibia Sharma, A. APC, Paris Université Paris Cité, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Sol, H. LUX, Meudon LUX, Observatoire de Paris, Université PSL, Sorbonne Université, CNRS, 92190 Meudon, France Spencer, S. ORCID:0000-0001-5516-1205 Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Nikolaus-Fiebiger-Str. 2, 91058 Erlangen, Germany Stawarz, L. Jagiellonian U. Obserwatorium Astronomiczne, Uniwersytet Jagielloński, ul. Orla 171, 30-244 Kraków, Poland Steenkamp, R. Namibia U. University of Namibia, Department of Physics, Private Bag 13301, Windhoek 10005, Namibia Steinmassl, S. ORCID:0000-0002-2865-8563 Heidelberg, Max Planck Inst. Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, 69117 Heidelberg, Germany Steppa, C. U. Potsdam (main) Institut für Physik und Astronomie, Universität Potsdam, Karl-Liebknecht-Strasse 24/25, D 14476 Potsdam, Germany Takahashi, T. Tokyo U., IPMU Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, 5-1-5 Kashiwa-no-Ha, Kashiwa, Chiba, 277-8583, Japan Tanaka, T. ORCID:0000-0002-4383-0368 Konan U. Department of Physics, Konan University, 8-9-1 Okamoto, Higashinada, Kobe, Hyogo 658-8501, Japan Taylor, A.M. ORCID:0000-0001-9473-4758 DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany Tsirou, M. DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany van Eldik, C. ORCID:0000-0001-9669-645X Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Nikolaus-Fiebiger-Str. 2, 91058 Erlangen, Germany Vecchi, M. Kapteyn Astron. Inst., Groningen Kapteyn Astronomical Institute, University of Groningen, Landleven 12, 9747 AD Groningen, The Netherlands Venter, C. Potchefstroom U. Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Vink, J. Amsterdam U., Astron. Inst. U. Amsterdam, GRAPPA GRAPPA, Anton Pannekoek Institute for Astronomy, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands Wach, T. Erlangen - Nuremberg U., ECAP Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Nikolaus-Fiebiger-Str. 2, 91058 Erlangen, Germany Wagner, S.J. ORCID:0000-0002-7474-6062 Heidelberg Observ. Landessternwarte, Universität Heidelberg, Königstuhl, D 69117 Heidelberg, Germany Wierzcholska, A. ORCID:0000-0003-4472-7204 Cracow, INP Heidelberg Observ. Landessternwarte, Universität Heidelberg, Königstuhl, D 69117 Heidelberg, Germany Instytut Fizyki Ja̧drowej PAN, ul. Radzikowskiego 152, 31-342 Kraków, Poland Zacharias, M. ORCID:0000-0001-5801-3945 Heidelberg Observ. Potchefstroom U. Landessternwarte, Universität Heidelberg, Königstuhl, D 69117 Heidelberg, Germany Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Zdziarski, A.A. ORCID:0000-0002-0333-2452 Warsaw, Copernicus Astron. Ctr. Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, ul. Bartycka 18, 00-716 Warsaw, Poland Zech, A. LUX, Meudon LUX, Observatoire de Paris, Université PSL, Sorbonne Université, CNRS, 92190 Meudon, France Żywucka, N. Potchefstroom U. Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Abe, S. ORCID:0000-0001-7250-3596 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Abhishek, A. INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Aguasca-Cabot, A. ORCID:0000-0001-8816-4920 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Agudo, I. ORCID:0000-0002-3777-6182 Granada U., Theor. Phys. Astrophys. Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008, Granada, Spain Aniello, T. INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Ansoldi, S. ORCID:0000-0002-5613-7693 Udine U. INFN, Trieste ICRA, Rome Università di Udine and INFN Trieste, I-33100 Udine, Italy also at International Center for Relativistic Astrophysics (ICRA), Rome, Italy Antonelli, L.A. ORCID:0000-0002-5037-9034 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Engels, A. Arbet ORCID:0000-0001-9076-9582 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Arcaro, C. ORCID:0000-0002-1998-9707 Genoa U. INFN, Genoa Università di Padova and INFN, I-35131 Padova, Italy Artero, M. Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Asano, K. ORCID:0000-0001-9064-160X Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Babic, A. ORCID:0000-0002-1444-5604 Zagreb U. Croatian MAGIC Group: University of Zagreb, Faculty of Electrical Engineering and Computing (FER), 10000 Zagreb, Croatia Bakshi, C. ORCID:0009-0007-1843-5386 Saha Inst. Saha Institute of Nuclear Physics, A CI of Homi Bhabha National Institute, Kolkata 700064, West Bengal, India de Almeida, U. Barres ORCID:0000-0001-7909-588X Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas (CBPF), 22290-180 URCA, Rio de Janeiro (RJ), Brazil Barrio, J.A. ORCID:0000-0002-0965-0259 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Barrios-Jiménez, L. ORCID:0009-0008-6006-175X IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Batkovic, I. ORCID:0000-0002-1209-2542 Genoa U. INFN, Genoa Università di Padova and INFN, I-35131 Padova, Italy Baxter, J. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Becerra González, J. ORCID:0000-0002-6729-9022 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Bednarek, W. ORCID:0000-0003-0605-108X Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Bernardini, E. Genoa U. INFN, Genoa Università di Padova and INFN, I-35131 Padova, Italy Bernete, J. Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Berti, A. ORCID:0000-0003-0396-4190 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Besenrieder, J. Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Bigongiari, C. ORCID:0000-0003-3293-8522 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Blanch, O. ORCID:0000-0002-8380-1633 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Bökenkamp, H. Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Bonnoli, G. ORCID:0000-0003-2464-9077 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Bošnjak, Ž. ORCID:0000-0001-6536-0320 Zagreb U. Croatian MAGIC Group: University of Zagreb, Faculty of Electrical Engineering and Computing (FER), 10000 Zagreb, Croatia Bronzini, E. ORCID:0000-0001-8378-4303 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Burelli, I. ORCID:0000-0002-8383-2202 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Campoy-Ordaz, A. ORCID:0000-0001-9352-8936 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain Carosi, A. ORCID:0000-0001-8690-6804 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Carosi, R. ORCID:0000-0002-4137-4370 Pisa U. Università di Pisa and INFN Pisa, I-56126 Pisa, Italy Carretero-Castrillo, M. ORCID:0000-0002-1426-1311 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Castro-Tirado, A.J. ORCID:0000-0002-0841-0026 Granada U., Theor. Phys. Astrophys. Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008, Granada, Spain Cerasole, D. ORCID:0000-0003-2033-756X Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Ceribella, G. ORCID:0000-0002-9768-2751 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Chai, Y. ORCID:0000-0003-2816-2821 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Chilingarian, A. ORCID:0000-0002-2018-9715 Yerevan Phys. Inst. Armenian MAGIC Group: A. Alikhanyan National Science Laboratory, 0036 Yerevan, Armenia Cifuentes, A. ORCID:0000-0003-1033-5296 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Contreras, J.L. ORCID:0000-0001-7282-2394 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Cortina, J. ORCID:0000-0003-4576-0452 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Covino, S. ORCID:0000-0001-9078-5507 INAF, Rome Insubria U., Como National Institute for Astrophysics (INAF), I-00136 Rome, Italy also at Como Lake centre for AstroPhysics (CLAP), DiSAT, Università dell?Insubria, via Valleggio 11, 22100, Como, Italy D'Amico, G. ORCID:0000-0001-6472-8381 Bergen U. Department for Physics and Technology, University of Bergen, Norway Da Vela, P. ORCID:0000-0003-0604-4517 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Dazzi, F. ORCID:0000-0001-5409-6544 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy De Angelis, A. ORCID:0000-0002-3288-2517 Genoa U. INFN, Genoa Università di Padova and INFN, I-35131 Padova, Italy De Lotto, B. ORCID:0000-0003-3624-4480 Udine U. INFN, Trieste Università di Udine and INFN Trieste, I-33100 Udine, Italy Delfino, M. ORCID:0000-0002-9468-4751 Barcelona, IFAE PIC, Bellaterra Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain also at Port d’Informació Cientà-fica (PIC), E-08193 Bellaterra (Barcelona), Spain Delgado Mendez, C. ORCID:0000-0002-7014-4101 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Di Pierro, F. ORCID:0000-0003-4861-432X INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Di Tria, R. ORCID:0009-0007-1088-5307 Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Di Venere, L. ORCID:0000-0003-0703-824X Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Dinesh, A. HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Dominis Prester, D. ORCID:0000-0002-9880-5039 Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Donini, A. ORCID:0000-0002-3066-724X INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Doro, M. ORCID:0000-0001-9104-3214 Genoa U. INFN, Genoa Università di Padova and INFN, I-35131 Padova, Italy Escudero, J. ORCID:0000-0002-4131-655X Granada U., Theor. Phys. Astrophys. Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008, Granada, Spain Fariña, L. ORCID:0000-0003-4116-6157 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Fattorini, A. Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Foffano, L. ORCID:0000-0002-0709-9707 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Font, L. ORCID:0000-0003-2109-5961 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain Fröse, S. Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Fukazawa, Y. ORCID:0000-0002-0921-8837 Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan Gasparyan, S. ORCID:0000-0002-0031-7759 NAS Armenia, Yerevan Armenian MAGIC Group: ICRANet-Armenia, 0019 Yerevan, Armenia Gaug, M. ORCID:0000-0001-8442-7877 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain Giesbrecht Paiva, J.G. ORCID:0000-0002-5817-2062 Rio de Janeiro, CBPF Centro Brasileiro de Pesquisas Físicas (CBPF), 22290-180 URCA, Rio de Janeiro (RJ), Brazil Giglietto, N. ORCID:0000-0002-9021-2888 Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Giordano, F. ORCID:0000-0002-8651-2394 Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Gliwny, P. ORCID:0000-0002-4183-391X Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Godinovic, N. ORCID:0000-0002-4674-9450 Split U. Croatian MAGIC Group: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), 21000 Split, Croatia Gradetzke, T. Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Grau, R. ORCID:0000-0002-1891-6290 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Green, D. ORCID:0000-0003-0768-2203 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Green, J.G. ORCID:0000-0002-1130-6692 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Hadasch, D. ORCID:0000-0001-8663-6461 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Hahn, A. ORCID:0000-0003-0827-5642 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Hassan, T. ORCID:0000-0002-4758-9196 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Heckmann, L. ORCID:0000-0002-6653-8407 Garching, Max Planck Inst., MPE APC, Paris Max-Planck-Institut für Physik, D-85748 Garching, Germany now at Université Paris Cité, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France Hrupec, D. ORCID:0000-0002-7027-5021 Boskovic Inst., Zagreb Croatian MAGIC Group: Josip Juraj Strossmayer University of Osijek, Department of Physics, 31000 Osijek, Croatia Imazawa, R. ORCID:0000-0002-0643-7946 Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan Israyelyan, D. ORCID:0000-0002-5804-6605 NAS Armenia, Yerevan Armenian MAGIC Group: ICRANet-Armenia, 0019 Yerevan, Armenia Mart́ınez, I. Jiménez ORCID:0000-0003-2150-6919 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Quiles, J. Jiménez Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Jormanainen, J. ORCID:0000-0003-4519-7751 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Kankkunen, S. Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Kayanoki, T. Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan Kerszberg, D. Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Konrad, J. Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Kouch, P.M. ORCID:0000-0002-9328-2750 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Kubo, H. ORCID:0000-0001-9159-9853 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Kushida, J. ORCID:0000-0002-8002-8585 Tokai U., Hiratsuka Japanese MAGIC Group: Department of Physics, Tokai University, Hiratsuka, 259-1292 Kanagawa, Japan Láinez, M. ORCID:0000-0003-3848-922X HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Lamastra, A. ORCID:0000-0003-2403-913X INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Lindfors, E. ORCID:0000-0002-9155-6199 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Lombardi, S. ORCID:0000-0002-6336-865X INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Longo, F. ORCID:0000-0003-2501-2270 Udine U. INFN, Trieste Trieste U. Università di Udine and INFN Trieste, I-33100 Udine, Italy also at Dipartimento di Fisica, Università di Trieste, I-34127 Trieste, Italy López-Coto, R. ORCID:0000-0002-3882-9477 Granada U., Theor. Phys. Astrophys. Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008, Granada, Spain López-Moya, M. ORCID:0000-0002-8791-7908 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain López-Oramas, A. ORCID:0000-0003-4603-1884 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Loporchio, S. ORCID:0000-0003-4457-5431 Bari Polytechnic INFN, Bari INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari, I-70125 Bari, Italy Lulic, L. Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Lyard, E. Geneva U. University of Geneva, Chemin d’Ecogia 16, CH-1290 Versoix, Switzerland Majumdar, P. ORCID:0000-0002-5481-5040 Saha Inst. Saha Institute of Nuclear Physics, A CI of Homi Bhabha National Institute, Kolkata 700064, West Bengal, India Makariev, M. ORCID:0000-0002-1622-3116 Sofiya, Inst. Nucl. Res. Inst. for Nucl. Research and Nucl. Energy, Bulgarian Academy of Sciences, BG-1784 Sofia, Bulgaria Mallamaci, M. ORCID:0000-0003-4068-0496 Catania U. INFN, Catania INFN MAGIC Group: INFN Sezione di Catania and Dipartimento di Fisica e Astronomia, University of Catania, I-95123 Catania, Italy Maneva, G. ORCID:0000-0002-5959-4179 Sofiya, Inst. Nucl. Res. Inst. for Nucl. Research and Nucl. Energy, Bulgarian Academy of Sciences, BG-1784 Sofia, Bulgaria Manganaro, M. ORCID:0000-0003-1530-3031 Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Mangano, S. ORCID:0000-0001-5872-1191 Madrid, CIEMAT Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, E-28040 Madrid, Spain Marchesi, S. ORCID:0000-0001-5544-0749 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Mariotti, M. ORCID:0000-0003-3297-4128 Genoa U. INFN, Genoa Università di Padova and INFN, I-35131 Padova, Italy Mart́ınez, M. ORCID:0000-0002-9763-9155 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Maruševec, P. ORCID:0000-0002-6748-4615 Zagreb U. Croatian MAGIC Group: University of Zagreb, Faculty of Electrical Engineering and Computing (FER), 10000 Zagreb, Croatia Mas-Aguilar, A. ORCID:0000-0002-8893-9009 HIAST Madrid U. IPARCOS Institute and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain Mazin, D. ORCID:0000-0002-2010-4005 Tokyo U., ICRR Garching, Max Planck Inst., MPE Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Max-Planck-Institut für Physik, D-85748 Garching, Germany Menchiari, S. Granada U., Theor. Phys. Astrophys. Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008, Granada, Spain Gallego, J. Méndez Granada U., Theor. Phys. Astrophys. Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008, Granada, Spain Miceli, D. ORCID:0000-0002-2686-0098 Genoa U. INFN, Genoa Università di Padova and INFN, I-35131 Padova, Italy Miranda, J.M. ORCID:0000-0002-1472-9690 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Mirzoyan, R. ORCID:0000-0003-0163-7233 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany González, M. Molero IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Molina, E. ORCID:0000-0003-1204-5516 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Mondal, H.A. ORCID:0000-0001-7217-0234 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Moralejo, A. ORCID:0000-0002-1344-9080 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Nakamori, T. ORCID:0000-0002-7308-2356 Yamagata U. Japanese MAGIC Group: Department of Physics, Yamagata University, Yamagata 990-8560, Japan Nanci, C. ORCID:0000-0002-1791-8235 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Neustroev, V. ORCID:0000-0003-4772-595X Oulu U. Finnish MAGIC Group: Space Physics and Astronomy Research Unit, University of Oulu, FI-90014 Oulu, Finland Nievas Rosillo, M. ORCID:0000-0002-8321-9168 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Nigro, C. ORCID:0000-0001-8375-1907 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Nikolic, L. INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Nilsson, K. ORCID:0000-0002-1445-8683 Turku U. Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland Nishijima, K. ORCID:0000-0002-1830-4251 Tokai U., Hiratsuka Japanese MAGIC Group: Department of Physics, Tokai University, Hiratsuka, 259-1292 Kanagawa, Japan Noda, K. Chiba U. Japanese MAGIC Group: Chiba University, ICEHAP, 263-8522 Chiba, Japan Nozaki, S. ORCID:0000-0002-6246-2767 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Okumura, A. KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, 464-6801 Nagoya, Japan Otero-Santos, J. ORCID:0000-0002-4241-5875 Genoa U. INFN, Genoa Università di Padova and INFN, I-35131 Padova, Italy Paiano, S. ORCID:0000-0002-2239-3373 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Paneque, D. ORCID:0000-0002-2830-0502 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Paredes, J.M. ORCID:0000-0002-1566-9044 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Peresano, M. ORCID:0000-0002-7537-7334 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Persic, M. ORCID:0000-0003-1853-4900 Udine U. INFN, Trieste CERN INFN, Padua Università di Udine and INFN Trieste, I-33100 Udine, Italy Pihet, M. Granada U., Theor. Phys. Astrophys. Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008, Granada, Spain Podobnik, F. ORCID:0000-0001-6125-9487 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Prada Moroni, P.G. ORCID:0000-0001-9712-9916 Pisa U. Università di Pisa and INFN Pisa, I-56126 Pisa, Italy Prandini, E. ORCID:0000-0003-4502-9053 Genoa U. INFN, Genoa Università di Padova and INFN, I-35131 Padova, Italy Ribo, M. ORCID:0000-0002-9931-4557 Barcelona U. Universitat de Barcelona, ICCUB, IEEC-UB, E-08028 Barcelona, Spain Rico, J. ORCID:0000-0003-4137-1134 Barcelona, IFAE Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology (BIST), E-08193 Bellaterra (Barcelona), Spain Saito, T. ORCID:0000-0001-6201-3761 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Sakurai, S. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Satalecka, K. DESY, Zeuthen Deutsches Elektronen-Synchrotron (DESY), D-15738 Zeuthen, Germany Saturni, F.G. ORCID:0000-0002-1946-7706 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Schmitz, K. ORCID:0000-0002-9883-4454 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Schmuckermaier, F. ORCID:0000-0003-2089-0277 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Schubert, J.L. Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Sciaccaluga, A. INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Silvestri, G. Genoa U. INFN, Genoa Università di Padova and INFN, I-35131 Padova, Italy Sitarek, J. ORCID:0000-0002-1659-5374 Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Sobczynska, D. ORCID:0000-0003-4973-7903 Lodz U. University of Lodz, Faculty of Physics and Applied Informatics, Department of Astrophysics, 90-236 Lodz, Poland Stamerra, A. ORCID:0000-0002-9430-5264 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Strǐskovic, J. ORCID:0000-0003-2902-5044 Boskovic Inst., Zagreb Croatian MAGIC Group: Josip Juraj Strossmayer University of Osijek, Department of Physics, 31000 Osijek, Croatia Strom, D. ORCID:0000-0003-2108-3311 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Strzys, M. ORCID:0000-0001-5049-1045 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Suda, Y. ORCID:0000-0002-2692-5891 Hiroshima U. Japanese MAGIC Group: Physics Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 739-8526 Hiroshima, Japan Tajima, H. KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, 464-6801 Nagoya, Japan Takahashi, M. ORCID:0000-0002-0574-6018 KMI, Nagoya Japanese MAGIC Group: Institute for Space-Earth Environmental Research and Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, 464-6801 Nagoya, Japan Takeishi, R. ORCID:0000-0001-6335-5317 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Temnikov, P. ORCID:0000-0002-9559-3384 Sofiya, Inst. Nucl. Res. Inst. for Nucl. Research and Nucl. Energy, Bulgarian Academy of Sciences, BG-1784 Sofia, Bulgaria Terauchi, K. Kyoto U. Japanese MAGIC Group: Department of Physics, Kyoto University, 606-8502 Kyoto, Japan Terzic, T. ORCID:0000-0002-4209-3407 Rijeka U. Croatian MAGIC Group: University of Rijeka, Faculty of Physics, 51000 Rijeka, Croatia Tutone, A. ORCID:0000-0002-2840-0001 INAF, Rome National Institute for Astrophysics (INAF), I-00136 Rome, Italy Ubach, S. ORCID:0000-0002-6159-5883 Barcelona, Autonoma U. Departament de Física, and CERES-IEEC, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain van Scherpenberg, J. ORCID:0000-0002-6173-867X Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Vazquez Acosta, M. ORCID:0000-0002-2409-9792 IAC, La Laguna Laguna U., Tenerife Instituto de Astrofísica de Canarias and Dpto. de Astrofísica, Universidad de La Laguna, E-38200, La Laguna, Tenerife, Spain Ventura, S. ORCID:0000-0001-7065-5342 INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Verna, G. INFN, Pisa Siena U. Università di Siena and INFN Pisa, I-53100 Siena, Italy Viale, I. ORCID:0000-0001-5031-5930 INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Vigliano, A. Udine U. INFN, Trieste Università di Udine and INFN Trieste, I-33100 Udine, Italy Vigorito, C.F. ORCID:0000-0002-0069-9195 INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Visentin, E. INFN, Turin Turin U. INFN MAGIC Group: INFN Sezione di Torino and Università degli Studi di Torino, I-10125 Torino, Italy Vitale, V. ORCID:0000-0001-8040-7852 INFN, Rome2 INFN MAGIC Group: INFN Roma Tor Vergata, I-00133 Roma, Italy Vovk, I. ORCID:0000-0003-3444-3830 Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Wersig, F. ORCID:0009-0006-1828-6117 Tech. U., Dortmund (main) Technische Universität Dortmund, D-44221 Dortmund, Germany Will, M. ORCID:0000-0002-7504-2083 Garching, Max Planck Inst., MPE Max-Planck-Institut für Physik, D-85748 Garching, Germany Yamamoto, T. ORCID:0000-0001-9734-8203 Konan U. Japanese MAGIC Group: Department of Physics, Konan University, Kobe, Hyogo 658-8501, Japan Yeung, P.K. H. Tokyo U., ICRR Japanese MAGIC Group: Institute for Cosmic Ray Research (ICRR), The University of Tokyo, Kashiwa, 277-8582 Chiba, Japan Yoo, S. Kyoto U. Japanese MAGIC Group: Department of Physics, Kyoto University, 606-8502 Kyoto, Japan Acharyya, A. ORCID:0000-0002-2028-9230 Southern Denmark U., CP3-Origins CP3-Origins, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark Archer, A. DePauw U. Department of Physics and Astronomy, DePauw University, Greencastle, IN 46135-0037, USA Bangale, P. ORCID:0000-0002-3886-3739 Temple U. Department of Physics, Temple University, Philadelphia, PA 19122, USA Bartkoske, J.T. ORCID:0000-0002-9675-7328 Utah U., Math. Dept. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, USA Benbow, W. ORCID:0000-0003-2098-170X Harvard U. Center for Astrophysics ∣ Harvard & Smithsonian, Cambridge, MA 02138, USA Buckley, J.H. ORCID:0000-0001-6391-9661 Washington U., St. Louis Department of Physics, Washington University, St. Louis, MO 63130, USA Chen, Y. ORCID:0009-0001-5719-936X UCLA Department of Physics and Astronomy, University of California, Los Angeles, CA 90095, USA Christiansen, J.L. Unlisted Physics Department, California Polytechnic State University, San Luis Obispo, CA 94307, USA Chromey, A.J. Harvard U. Center for Astrophysics ∣ Harvard & Smithsonian, Cambridge, MA 02138, USA Errando, M. ORCID:0000-0002-1853-863X Washington U., St. Louis Department of Physics, Washington University, St. Louis, MO 63130, USA Feldman, S. UCLA Department of Physics and Astronomy, University of California, Los Angeles, CA 90095, USA Feng, Q. ORCID:0000-0001-6674-4238 Utah U., Math. Dept. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, USA Filbert, S. ORCID:0000-0002-2636-4756 Utah U., Math. Dept. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, USA Fortson, L. ORCID:0000-0002-1067-8558 Minnesota U. School of Physics and Astronomy, University of Minnesota, Minneapolis, MN 55455, USA Furniss, A. ORCID:0000-0003-1614-1273 UC, Santa Cruz, Inst. Part. Phys. Santa Cruz Institute for Particle Physics and Department of Physics, University of California, Santa Cruz, CA 95064, USA Hanlon, W. ORCID:0000-0002-0109-4737 Harvard U. Center for Astrophysics ∣ Harvard & Smithsonian, Cambridge, MA 02138, USA Hervet, O. ORCID:0000-0003-3878-1677 UC, Santa Cruz, Inst. Part. Phys. Santa Cruz Institute for Particle Physics and Department of Physics, University of California, Santa Cruz, CA 95064, USA Hinrichs, C.E. ORCID:0000-0001-6951-2299 Dartmouth Coll. Center for Astrophysics ∣ Harvard & Smithsonian, Cambridge, MA 02138, USA and Department of Physics and Astronomy, Dartmouth College, 6127 Wilder Laboratory, Hanover, NH 03755, USA Holder, J. ORCID:0000-0002-6833-0474 Delaware U. Department of Physics and Astronomy and the Bartol Research Institute, University of Delaware, Newark, DE 19716, USA Hughes, Z. Washington U., St. Louis Department of Physics, Washington University, St. Louis, MO 63130, USA Humensky, T.B. ORCID:0000-0002-1432-7771 NASA, Goddard Department of Physics, University of Maryland, College Park, MD, USA and NASA GSFC, Greenbelt, MD 20771, USA Jin, W. ORCID:0000-0002-1089-1754 UCLA Department of Physics and Astronomy, University of California, Los Angeles, CA 90095, USA Johnson, M.N. ORCID:0009-0008-2688-0815 UC, Santa Cruz, Inst. Part. Phys. Santa Cruz Institute for Particle Physics and Department of Physics, University of California, Santa Cruz, CA 95064, USA Kaaret, P. ORCID:0000-0002-3638-0637 Iowa U. Department of Physics and Astronomy, University of Iowa, Van Allen Hall, Iowa City, IA 52242, USA Kertzman, M. DePauw U. Department of Physics and Astronomy, DePauw University, Greencastle, IN 46135-0037, USA Kherlakian, M. Ruhr U., Astron. Inst. Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany Kieda, D. ORCID:0000-0003-4785-0101 Utah U., Math. Dept. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, USA Kleiner, T.K. ORCID:0000-0002-4260-9186 DESY, Zeuthen DESY, Platanenallee 6, 15738, Zeuthen, Germany Korzoun, N. ORCID:0000-0002-4289-7106 Delaware U. Department of Physics and Astronomy and the Bartol Research Institute, University of Delaware, Newark, DE 19716, USA Lang, M.J. ORCID:0000-0003-4641-4201 Natl. U. of Ireland, Galway School of Natural Sciences, University of Galway, University Road, Galway, H91 TK33, Ireland Lundy, M. ORCID:0000-0003-3802-1619 McGill U. Physics Department, McGill University, Montreal, QC H3A 2T8, Canada Maier, G. ORCID:0000-0001-9868-4700 DESY, Zeuthen DESY, Platanenallee 6, 15738, Zeuthen, Germany Millard, M.J. ORCID:0000-0001-7106-8502 Iowa U. Department of Physics and Astronomy, University of Iowa, Van Allen Hall, Iowa City, IA 52242, USA Millis, J. Strathclyde U. Department of Physics and Astronomy, Ball State University, Muncie, IN 47306, USA Department of Physics, Anderson University, 1100 East 5th Street, Anderson, IN 46012, USA Moriarty, P. ORCID:0000-0002-1499-2667 Natl. U. of Ireland, Galway School of Natural Sciences, University of Galway, University Road, Galway, H91 TK33, Ireland Mukherjee, R. ORCID:0000-0002-3223-0754 Barnard Coll. Department of Physics and Astronomy, Barnard College, Columbia University, NY 10027, USA Ning, W. ORCID:0000-0002-6121-3443 UCLA Department of Physics and Astronomy, University of California, Los Angeles, CA 90095, USA Ong, R.A. ORCID:0000-0002-4837-5253 UCLA Department of Physics and Astronomy, University of California, Los Angeles, CA 90095, USA Pandey, A. ORCID:0000-0003-3820-0887 Utah U., Math. Dept. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, USA Pohl, M. ORCID:0000-0001-7861-1707 Potsdam U. Institute of Physics and Astronomy, University of Potsdam, 14476, Potsdam-Golm, Germany and DESY, Platanenallee 6, 15738, Zeuthen, Germany Quinn, J. ORCID:0000-0002-4855-2694 University Coll., Dublin School of Physics, University College Dublin, Belfield, Dublin 4, Ireland Rabinowitz, P.L. Washington U., St. Louis Department of Physics, Washington University, St. Louis, MO 63130, USA Ragan, K. ORCID:0000-0002-5351-3323 McGill U. Physics Department, McGill University, Montreal, QC H3A 2T8, Canada Reynolds, P.T. University Coll., Cork Department of Physical Sciences, Munster Technological University, Bishopstown, Cork, T12 P928, Ireland Ribeiro, D. ORCID:0000-0002-7523-7366 Minnesota U. School of Physics and Astronomy, University of Minnesota, Minneapolis, MN 55455, USA Roache, E. Harvard U. Center for Astrophysics ∣ Harvard & Smithsonian, Cambridge, MA 02138, USA Sadeh, I. ORCID:0000-0003-1387-8915 DESY, Zeuthen DESY, Platanenallee 6, 15738, Zeuthen, Germany Sadun, A.C. Colorado U., Denver Department of Physics, University of Colorado Denver, Campus Box 157, P.O. Box 173364, Denver, CO 80217, USA Saha, L. ORCID:0000-0002-3171-5039 Harvard U. Center for Astrophysics ∣ Harvard & Smithsonian, Cambridge, MA 02138, USA Santander, M. Alabama U. Department of Physics and Astronomy, University of Alabama, Tuscaloosa, AL 35487, USA Sembroski, G.H. Purdue U. Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, USA Shang, R. ORCID:0000-0002-9856-989X Barnard Coll. Department of Physics and Astronomy, Barnard College, Columbia University, NY 10027, USA Tak, D. ORCID:0000-0002-9852-2469 Seoul Natl. U., Dept. Phys. Astron. SNU Astronomy Research Center, Seoul National University, Seoul 08826, Republic of Korea Talluri, A.K. Minnesota U. School of Physics and Astronomy, University of Minnesota, Minneapolis, MN 55455, USA Tucci, J.V. Indiana U.-Purdue U., Indianapolis Department of Physics, Indiana University Indianapolis, Indianapolis, IN 46202, USA Valverde, J. Maryland U., Baltimore County Department of Physics, University of Maryland, Baltimore County, Baltimore MD 21250, USA and NASA GSFC, Greenbelt, MD 20771, USA Vassiliev, V.V. UCLA Department of Physics and Astronomy, University of California, Los Angeles, CA 90095, USA Williams, D.A. ORCID:0000-0003-2740-9714 UC, Santa Cruz, Inst. Part. Phys. Santa Cruz Institute for Particle Physics and Department of Physics, University of California, Santa Cruz, CA 95064, USA Wong, S.L. ORCID:0000-0002-2730-2733 McGill U. Physics Department, McGill University, Montreal, QC H3A 2T8, Canada Buson, S. ORCID:0000-0002-3308-324X DESY, Zeuthen LMU Munich (main) Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, 15738 Zeuthen, Germany Julius-Maximilians-Universität Würzburg, Fakultät für Physik und Astronomie, Institut für Theoretische Physik und Astrophysik, Lehrstuhl für Astronomie, Emil-Fischer-Str. 31, D-97074 Würzburg, Germany Abbasi, R. ORCID:0000-0001-6141-4205 Loyola U., Chicago Department of Physics, Loyola University Chicago, Chicago, IL 60660, USA Ackermann, M. ORCID:0000-0001-8952-588X DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, D-15738 Zeuthen, Germany Adams, J. Canterbury U. Department of Physics and Astronomy, University of Canterbury, Private Bag 4800, Christchurch, New Zealand Agarwalla, S.K. ORCID:0000-0002-9714-8866 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Aguilar, J.A. ORCID:0000-0003-2252-9514 Brussels U. Université Libre de Bruxelles, Science Faculty CP230, B-1050 Brussels, Belgium Ahlers, M. ORCID:0000-0003-0709-5631 DARK Cosmology Ctr. Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark Alameddine, J.M. ORCID:0000-0002-9534-9189 Dortmund U. Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany Ali, S. ORCID:0009-0001-2444-4162 Kansas U. Department of Physics and Astronomy, University of Kansas, Lawrence, KS 66045, USA Amin, N.M. Delaware U., Bartol Inst. Bartol Research Institute and Dept. of Physics and Astronomy, University of Delaware, Newark, DE 19716, USA Andeen, K. ORCID:0000-0001-9394-0007 Marquette U. Department of Physics, Marquette University, Milwaukee, WI 53201, USA Argüelles, C. ORCID:0000-0003-4186-4182 Harvard U. Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA 02138, USA Ashida, Y. Utah U., Math. Dept. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, USA Athanasiadou, S. DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, D-15738 Zeuthen, Germany Axani, S.N. ORCID:0000-0001-8866-3826 Delaware U., Bartol Inst. Bartol Research Institute and Dept. of Physics and Astronomy, University of Delaware, Newark, DE 19716, USA Babu, R. Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA Bai, X. ORCID:0000-0002-1827-9121 South Dakota Sch. Mines Tech. Physics Department, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA Baines-Holmes, J. Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Balagopal V., A. ORCID:0000-0001-5367-8876 Wisconsin U., Madison Delaware U., Bartol Inst. Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Bartol Research Institute and Dept. of Physics and Astronomy, University of Delaware, Newark, DE 19716, USA Barwick, S.W. ORCID:0000-0003-2050-6714 UC, Irvine Department of Physics and Astronomy, University of California, Irvine, CA 92697, USA Bash, S. Munich, Tech. U. Physik-department, Technische Universität München, D-85748 Garching, Germany Basu, V. ORCID:0000-0002-9528-2009 Utah U., Math. Dept. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, USA Bay, R. UC, Berkeley, Astron. Dept. Department of Physics, University of California, Berkeley, CA 94720, USA Beatty, J.J. ORCID:0000-0003-0481-4952 Ohio State U. Ohio State U., CCAPP Department of Astronomy, Ohio State University, Columbus, OH 43210, USA Department of Physics and Center for Cosmology and Astro-Particle Physics, Ohio State University, Columbus, OH 43210, USA Becker Tjus, J. ORCID:0000-0002-1748-7367 Ruhr U., Astron. Inst. Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany Behrens, P. Aachen, Tech. Hochsch. III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany Beise, J. ORCID:0000-0002-7448-4189 Uppsala U. Department of Physics and Astronomy, Uppsala University, Box 516, SE-75120 Uppsala, Sweden Bellenghi, C. ORCID:0000-0001-8525-7515 Munich, Tech. U. Physik-department, Technische Universität München, D-85748 Garching, Germany Benkel, B. DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, D-15738 Zeuthen, Germany BenZvi, S. ORCID:0000-0001-5537-4710 Rochester U. Department of Physics and Astronomy, University of Rochester, Rochester, NY 14627, USA Berley, D. Maryland U. Department of Physics, University of Maryland, College Park, MD 20742, USA Bernardini, E. Padua U. Dipartimento di Fisica e Astronomia Galileo Galilei, Università Degli Studi di Padova, I-35122 Padova PD, Italy Besson, D.Z. Kansas U. Department of Physics and Astronomy, University of Kansas, Lawrence, KS 66045, USA Blaufuss, E. ORCID:0000-0001-5450-1757 Maryland U. Department of Physics, University of Maryland, College Park, MD 20742, USA Bloom, L. ORCID:0009-0005-9938-3164 Alabama U. Department of Physics and Astronomy, University of Alabama, Tuscaloosa, AL 35487, USA Blot, S. ORCID:0000-0003-1089-3001 DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, D-15738 Zeuthen, Germany Bodo, I. Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Bontempo, F. KIT, Karlsruhe, IAP Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany Book Motzkin, J.Y. ORCID:0000-0001-6687-5959 Harvard U. Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA 02138, USA Boscolo Meneguolo, C. ORCID:0000-0001-8325-4329 Padua U. Dipartimento di Fisica e Astronomia Galileo Galilei, Università Degli Studi di Padova, I-35122 Padova PD, Italy Böser, S. ORCID:0000-0002-5918-4890 Mainz U., Inst. Phys. Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany Botner, O. ORCID:0000-0001-8588-7306 Uppsala U. Department of Physics and Astronomy, Uppsala University, Box 516, SE-75120 Uppsala, Sweden Böttcher, J. ORCID:0000-0002-3387-4236 Aachen, Tech. Hochsch. III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany Braun, J. Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Brinson, B. ORCID:0000-0001-9128-1159 Georgia Tech School of Physics and Center for Relativistic Astrophysics, Georgia Institute of Technology, Atlanta, GA 30332, USA Brisson-Tsavoussis, Z. Queen's U., Kingston Department of Physics, Engineering Physics, and Astronomy, Queen’s University, Kingston, ON K7L 3N6, Canada Burley, R.T. Adelaide U. Department of Physics, University of Adelaide, Adelaide, 5005, Australia Butterfield, D. Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Campana, M.A. ORCID:0000-0003-4162-5739 Drexel U. Department of Physics, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104, USA Carloni, K. ORCID:0000-0003-3859-3748 Harvard U. Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA 02138, USA Carpio, J. ORCID:0000-0003-0667-6557 Nevada U., Las Vegas Department of Physics & Astronomy, University of Nevada, Las Vegas, NV 89154, USA Nevada Center for Astrophysics, University of Nevada, Las Vegas, NV 89154, USA Chattopadhyay, S. ORCID:0009-0006-1352-2248 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Chau, N. Brussels U. Université Libre de Bruxelles, Science Faculty CP230, B-1050 Brussels, Belgium Chen, Z. SUNY, Stony Brook Department of Physics and Astronomy, Stony Brook University, Stony Brook, NY 11794-3800, USA Chirkin, D. ORCID:0000-0003-4911-1345 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Choi, S. Utah U., Math. Dept. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, USA Clark, B.A. ORCID:0000-0003-4089-2245 Maryland U. Department of Physics, University of Maryland, College Park, MD 20742, USA Coleman, A. ORCID:0000-0003-1510-1712 Uppsala U. Department of Physics and Astronomy, Uppsala University, Box 516, SE-75120 Uppsala, Sweden Coleman, P. Aachen, Tech. Hochsch. III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany Collin, G.H. MIT, LNS Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA Coloma Borja, D.A. ORCID:0000-0003-0007-5793 Padua U. Dipartimento di Fisica e Astronomia Galileo Galilei, Università Degli Studi di Padova, I-35122 Padova PD, Italy Connolly, A. Ohio State U. Ohio State U., CCAPP Department of Astronomy, Ohio State University, Columbus, OH 43210, USA Department of Physics and Center for Cosmology and Astro-Particle Physics, Ohio State University, Columbus, OH 43210, USA Conrad, J.M. ORCID:0000-0002-6393-0438 MIT, LNS Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA Cowen, D.F. ORCID:0000-0003-4738-0787 Penn State U. Department of Astronomy and Astrophysics, Pennsylvania State University, University Park, PA 16802, USA Department of Physics, Pennsylvania State University, University Park, PA 16802, USA De Clercq, C. ORCID:0000-0001-5266-7059 Vrije U., Brussels Vrije Universiteit Brussel (VUB), Dienst ELEM, B-1050 Brussels, Belgium DeLaunay, J.J. ORCID:0000-0001-5229-1995 Penn State U. Department of Astronomy and Astrophysics, Pennsylvania State University, University Park, PA 16802, USA Delgado, D. ORCID:0000-0002-4306-8828 Harvard U. Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA 02138, USA Delmeulle, T. Brussels U. Université Libre de Bruxelles, Science Faculty CP230, B-1050 Brussels, Belgium Deng, S. Aachen, Tech. Hochsch. III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany Desiati, P. ORCID:0000-0001-9768-1858 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA de Vries, K.D. ORCID:0000-0002-9842-4068 Vrije U., Brussels Vrije Universiteit Brussel (VUB), Dienst ELEM, B-1050 Brussels, Belgium de Wasseige, G. ORCID:0000-0002-1010-5100 Louvain U., CP3 Centre for Cosmology, Particle Physics and Phenomenology—CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium DeYoung, T. ORCID:0000-0003-4873-3783 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA D́ıaz-Vélez, J.C. ORCID:0000-0002-0087-0693 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA DiKerby, S. ORCID:0000-0003-2633-2196 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA Ding, T. Nevada U., Las Vegas Department of Physics & Astronomy, University of Nevada, Las Vegas, NV 89154, USA Nevada Center for Astrophysics, University of Nevada, Las Vegas, NV 89154, USA Dittmer, M. Munster U. Institut für Kernphysik, Universität Münster, D-48149 Münster, Germany Domi, A. Erlangen - Nuremberg U., ECAP Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany Draper, L. Utah U., Math. Dept. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, USA Dueser, L. Aachen, Tech. Hochsch. III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany Durnford, D. ORCID:0000-0002-6608-7650 Alberta U. Department of Physics, University of Alberta, Edmonton, Alberta, T6G 2E1, Canada Dutta, K. Mainz U., Inst. Phys. Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany DuVernois, M.A. ORCID:0000-0002-2987-9691 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Ehrhardt, T. Mainz U., Inst. Phys. Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany Eidenschink, L. Munich, Tech. U. Physik-department, Technische Universität München, D-85748 Garching, Germany Eimer, A. ORCID:0009-0002-6308-0258 Erlangen - Nuremberg U., ECAP Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany Eller, P. ORCID:0000-0001-6354-5209 Munich, Tech. U. Physik-department, Technische Universität München, D-85748 Garching, Germany Ellinger, E. Wuppertal U. Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany Elsässer, D. Dortmund U. Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany Engel, R. KIT, Karlsruhe, IAP KIT, Karlsruhe Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany Karlsruhe Institute of Technology, Institute of Experimental Particle Physics, D-76021 Karlsruhe, Germany Erpenbeck, H. ORCID:0000-0001-6319-2108 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Esmail, W. ORCID:0000-0002-0097-3668 Munster U. Institut für Kernphysik, Universität Münster, D-48149 Münster, Germany Eulig, S. Harvard U. Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA 02138, USA Evans, J. Maryland U. Department of Physics, University of Maryland, College Park, MD 20742, USA Evenson, P.A. ORCID:0000-0001-7929-810X Delaware U., Bartol Inst. Bartol Research Institute and Dept. of Physics and Astronomy, University of Delaware, Newark, DE 19716, USA Fan, K.L. Maryland U. Department of Physics, University of Maryland, College Park, MD 20742, USA Fang, K. Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Farrag, K. Chiba U. Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan Fazely, A.R. ORCID:0000-0002-6907-8020 Southern U. Department of Physics, Southern University, Baton Rouge, LA 70813, USA Fedynitch, A. ORCID:0000-0003-2837-3477 Taiwan, Inst. Phys. Institute of Physics, Academia Sinica, Taipei, 11529, Taiwan Feigl, N. Humboldt U., Berlin Institut für Physik, Humboldt-Universität zu Berlin, D-12489 Berlin, Germany Finley, C. ORCID:0000-0003-3350-390X Stockholm U. Stockholm U., OKC Oskar Klein Centre and Dept. of Physics, Stockholm University, SE-10691 Stockholm, Sweden Fischer, L. ORCID:0000-0002-7645-8048 DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, D-15738 Zeuthen, Germany Fox, D. ORCID:0000-0002-3714-672X Penn State U. Department of Astronomy and Astrophysics, Pennsylvania State University, University Park, PA 16802, USA Franckowiak, A. ORCID:0000-0002-5605-2219 Ruhr U., Astron. Inst. Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany Fukami, S. DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, D-15738 Zeuthen, Germany Fürst, P. ORCID:0000-0002-7951-8042 Aachen, Tech. Hochsch. III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany Gallagher, J. ORCID:0000-0001-8608-0408 Wisconsin U., Madison Department of Astronomy, University of Wisconsin–Madison, Madison, WI 53706, USA Ganster, E. ORCID:0000-0003-4393-6944 Aachen, Tech. Hochsch. III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany Garcia, A. ORCID:0000-0002-8186-2459 Harvard U. Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA 02138, USA Garcia, M. Delaware U., Bartol Inst. Bartol Research Institute and Dept. of Physics and Astronomy, University of Delaware, Newark, DE 19716, USA Garg, G. Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Genton, E. ORCID:0009-0003-5263-972X Harvard U. Louvain U., CP3 Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA 02138, USA Centre for Cosmology, Particle Physics and Phenomenology—CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium Gerhardt, L. LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA Ghadimi, A. ORCID:0000-0002-6350-6485 Alabama U. Department of Physics and Astronomy, University of Alabama, Tuscaloosa, AL 35487, USA Glaser, C. ORCID:0000-0001-5998-2553 Uppsala U. Department of Physics and Astronomy, Uppsala University, Box 516, SE-75120 Uppsala, Sweden Glüsenkamp, T. ORCID:0000-0002-2268-9297 Uppsala U. Department of Physics and Astronomy, Uppsala University, Box 516, SE-75120 Uppsala, Sweden Gonzalez, J.G. Delaware U., Bartol Inst. Bartol Research Institute and Dept. of Physics and Astronomy, University of Delaware, Newark, DE 19716, USA Goswami, S. Nevada U., Las Vegas Department of Physics & Astronomy, University of Nevada, Las Vegas, NV 89154, USA Nevada Center for Astrophysics, University of Nevada, Las Vegas, NV 89154, USA Granados, A. Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA Grant, D. Simon Fraser U., Burnaby (main) Department of Physics, Simon Fraser University, Burnaby, BC V5A 1S6, Canada Gray, S.J. ORCID:0000-0003-2907-8306 Maryland U. Department of Physics, University of Maryland, College Park, MD 20742, USA Griffin, S. ORCID:0000-0002-0779-9623 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Griswold, S. ORCID:0000-0002-7321-7513 Rochester U. Department of Physics and Astronomy, University of Rochester, Rochester, NY 14627, USA Groth, K.M. ORCID:0000-0002-1581-9049 DARK Cosmology Ctr. Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark Guevel, D. ORCID:0000-0002-0870-2328 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Günther, C. ORCID:0009-0007-5644-8559 Aachen, Tech. Hochsch. III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany Gutjahr, P. ORCID:0000-0001-7980-7285 Dortmund U. Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany Ha, C. ORCID:0000-0002-9598-8589 Chung-Ang U. Department of Physics, Chung-Ang University, Seoul 06974, Republic of Korea Haack, C. ORCID:0000-0003-3932-2448 Erlangen - Nuremberg U., ECAP Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany Hallgren, A. ORCID:0000-0001-7751-4489 Uppsala U. Department of Physics and Astronomy, Uppsala University, Box 516, SE-75120 Uppsala, Sweden Halve, L. ORCID:0000-0003-2237-6714 Aachen, Tech. Hochsch. III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany Halzen, F. ORCID:0000-0001-6224-2417 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Hamacher, L. Aachen, Tech. Hochsch. III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany Ha Minh, M. Munich, Tech. U. Physik-department, Technische Universität München, D-85748 Garching, Germany Handt, M. Aachen, Tech. Hochsch. III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany Hanson, K. Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Hardin, J. MIT, LNS Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA Harnisch, A.A. Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA Hatch, P. Queen's U., Kingston Department of Physics, Engineering Physics, and Astronomy, Queen’s University, Kingston, ON K7L 3N6, Canada Haungs, A. ORCID:0000-0002-9638-7574 KIT, Karlsruhe, IAP Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany Häußler, J. ORCID:0009-0003-5552-4821 Aachen, Tech. Hochsch. III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany Helbing, K. ORCID:0000-0003-2072-4172 Wuppertal U. Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany Hellrung, J. ORCID:0009-0006-7300-8961 Ruhr U., Astron. Inst. Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany Henke, B. Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA Hennig, L. Erlangen - Nuremberg U., ECAP Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany Henningsen, F. ORCID:0000-0002-0680-6588 Simon Fraser U., Burnaby (main) Department of Physics, Simon Fraser University, Burnaby, BC V5A 1S6, Canada Heuermann, L. Aachen, Tech. Hochsch. III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany Hewett, R. Canterbury U. Department of Physics and Astronomy, University of Canterbury, Private Bag 4800, Christchurch, New Zealand Heyer, N. ORCID:0000-0001-9036-8623 Uppsala U. Department of Physics and Astronomy, Uppsala University, Box 516, SE-75120 Uppsala, Sweden Hickford, S. Wuppertal U. Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany Hidvegi, A. Stockholm U. Stockholm U., OKC Oskar Klein Centre and Dept. of Physics, Stockholm University, SE-10691 Stockholm, Sweden Hill, C. ORCID:0000-0003-0647-9174 Chiba U. Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan Hill, G.C. Adelaide U. Department of Physics, University of Adelaide, Adelaide, 5005, Australia Hmaid, R. Chiba U. Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan Hoffman, K.D. Maryland U. Department of Physics, University of Maryland, College Park, MD 20742, USA Hooper, D. Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Hori, S. ORCID:0009-0007-2644-5955 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Hoshina, K. Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Hostert, M. ORCID:0000-0002-9584-8877 Harvard U. Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA 02138, USA Hou, W. ORCID:0000-0003-3422-7185 KIT, Karlsruhe, IAP Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany Hrywniak, M. Stockholm U. Stockholm U., OKC Oskar Klein Centre and Dept. of Physics, Stockholm University, SE-10691 Stockholm, Sweden Huber, T. ORCID:0000-0002-6515-1673 KIT, Karlsruhe, IAP Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany Hultqvist, K. ORCID:0000-0003-0602-9472 Stockholm U. Stockholm U., OKC Oskar Klein Centre and Dept. of Physics, Stockholm University, SE-10691 Stockholm, Sweden Hymon, K. ORCID:0000-0002-4377-5207 Dortmund U. Taiwan, Inst. Phys. Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany Institute of Physics, Academia Sinica, Taipei, 11529, Taiwan Ishihara, A. Chiba U. Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan Iwakiri, W. ORCID:0000-0002-0207-9010 Chiba U. Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan Jacquart, M. DARK Cosmology Ctr. Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark Jain, S. ORCID:0009-0000-7455-782X Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Janik, O. ORCID:0009-0007-3121-2486 Erlangen - Nuremberg U., ECAP Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany Jansson, M. Louvain U., CP3 Centre for Cosmology, Particle Physics and Phenomenology—CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium Jeong, M. ORCID:0000-0003-2420-6639 Utah U., Math. Dept. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, USA Jin, M. ORCID:0000-0003-0487-5595 Harvard U. Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA 02138, USA Kamp, N. ORCID:0000-0001-9232-259X Harvard U. Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA 02138, USA Kang, D. ORCID:0000-0002-5149-9767 KIT, Karlsruhe, IAP Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany Kang, W. ORCID:0000-0003-3980-3778 Drexel U. Department of Physics, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104, USA Kang, X. Drexel U. Department of Physics, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104, USA Kappes, A. ORCID:0000-0003-1315-3711 Munster U. Institut für Kernphysik, Universität Münster, D-48149 Münster, Germany Kardum, L. Dortmund U. Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany Karg, T. ORCID:0000-0003-3251-2126 DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, D-15738 Zeuthen, Germany Karl, M. ORCID:0000-0003-2475-8951 Munich, Tech. U. Physik-department, Technische Universität München, D-85748 Garching, Germany Karle, A. ORCID:0000-0001-9889-5161 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Katil, A. Alberta U. Department of Physics, University of Alberta, Edmonton, Alberta, T6G 2E1, Canada Kauer, M. ORCID:0000-0003-1830-9076 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Kelley, J.L. ORCID:0000-0002-0846-4542 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Khanal, M. Utah U., Math. Dept. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, USA Khatee Zathul, A. ORCID:0000-0002-8735-8579 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Kheirandish, A. ORCID:0000-0001-7074-0539 Nevada U., Las Vegas Department of Physics & Astronomy, University of Nevada, Las Vegas, NV 89154, USA Nevada Center for Astrophysics, University of Nevada, Las Vegas, NV 89154, USA Kimku, H. Chung-Ang U. Department of Physics, Chung-Ang University, Seoul 06974, Republic of Korea Kiryluk, J. ORCID:0000-0003-0264-3133 SUNY, Stony Brook Department of Physics and Astronomy, Stony Brook University, Stony Brook, NY 11794-3800, USA Klein, C. Erlangen - Nuremberg U., ECAP Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany Klein, S.R. ORCID:0000-0003-2841-6553 UC, Berkeley, Astron. Dept. LBL, Berkeley Department of Physics, University of California, Berkeley, CA 94720, USA Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA Kobayashi, Y. ORCID:0009-0005-5680-6614 Chiba U. Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan Kochocki, A. ORCID:0000-0003-3782-0128 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA Koirala, R. ORCID:0000-0002-7735-7169 Delaware U., Bartol Inst. Bartol Research Institute and Dept. of Physics and Astronomy, University of Delaware, Newark, DE 19716, USA Kolanoski, H. ORCID:0000-0003-0435-2524 Humboldt U., Berlin Institut für Physik, Humboldt-Universität zu Berlin, D-12489 Berlin, Germany Kontrimas, T. ORCID:0000-0001-8585-0933 Munich, Tech. U. Physik-department, Technische Universität München, D-85748 Garching, Germany Kopke, L. Mainz U., Inst. Phys. Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany Kopper, C. ORCID:0000-0001-6288-7637 Erlangen - Nuremberg U., ECAP Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany Koskinen, D.J. ORCID:0000-0002-0514-5917 DARK Cosmology Ctr. Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark Koundal, P. ORCID:0000-0002-5917-5230 Delaware U., Bartol Inst. Bartol Research Institute and Dept. of Physics and Astronomy, University of Delaware, Newark, DE 19716, USA Kowalski, M. ORCID:0000-0001-8594-8666 Humboldt U., Berlin DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, D-15738 Zeuthen, Germany Institut für Physik, Humboldt-Universität zu Berlin, D-12489 Berlin, Germany Kozynets, T. DARK Cosmology Ctr. Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark Kravka, A. Utah U., Math. Dept. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, USA Krieger, N. Ruhr U., Astron. Inst. Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany Krishnamoorthi, J. Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Krishnan, T. ORCID:0000-0002-3237-3114 Harvard U. Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA 02138, USA Kruiswijk, K. ORCID:0009-0002-9261-0537 Louvain U., CP3 Centre for Cosmology, Particle Physics and Phenomenology—CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium Krupczak, E. Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA Kumar, A. ORCID:0000-0002-8367-8401 DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, D-15738 Zeuthen, Germany Kun, E. Ruhr U., Astron. Inst. Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany Kurahashi, N. ORCID:0000-0003-1047-8094 Drexel U. Department of Physics, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104, USA Lad, N. ORCID:0000-0001-9302-5140 DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, D-15738 Zeuthen, Germany Lagunas Gualda, C. ORCID:0000-0002-9040-7191 Munich, Tech. U. Physik-department, Technische Universität München, D-85748 Garching, Germany Arnaud, L. Lallement Brussels U. Université Libre de Bruxelles, Science Faculty CP230, B-1050 Brussels, Belgium Lamoureux, M. ORCID:0000-0002-8860-5826 Louvain U., CP3 Centre for Cosmology, Particle Physics and Phenomenology—CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium Larson, M.J. ORCID:0000-0002-6996-1155 Maryland U. Department of Physics, University of Maryland, College Park, MD 20742, USA Lauber, F. ORCID:0000-0001-5648-5930 Wuppertal U. Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany Lazar, J.P. ORCID:0000-0003-0928-5025 Louvain U., CP3 Centre for Cosmology, Particle Physics and Phenomenology—CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium Leonard DeHolton, K. ORCID:0000-0002-8795-0601 Penn State U. Department of Physics, Pennsylvania State University, University Park, PA 16802, USA Leszczynska, A. ORCID:0000-0003-0935-6313 Delaware U., Bartol Inst. Bartol Research Institute and Dept. of Physics and Astronomy, University of Delaware, Newark, DE 19716, USA Liao, J. ORCID:0009-0008-8086-586X Georgia Tech School of Physics and Center for Relativistic Astrophysics, Georgia Institute of Technology, Atlanta, GA 30332, USA Lin, C. Delaware U., Bartol Inst. Bartol Research Institute and Dept. of Physics and Astronomy, University of Delaware, Newark, DE 19716, USA Liu, Y.T. ORCID:0009-0007-5418-1301 Penn State U. Department of Physics, Pennsylvania State University, University Park, PA 16802, USA Liubarska, M. Alberta U. Department of Physics, University of Alberta, Edmonton, Alberta, T6G 2E1, Canada Love, C. Drexel U. Department of Physics, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104, USA Lu, L. ORCID:0000-0003-3175-7770 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Lucarelli, F. ORCID:0000-0002-9558-8788 Geneva U. Département de physique nucléaire et corpusculaire, Université de Genève, CH-1211 Genève, Switzerland Luszczak, W. ORCID:0000-0003-3085-0674 Ohio State U. Ohio State U., CCAPP Department of Astronomy, Ohio State University, Columbus, OH 43210, USA Department of Physics and Center for Cosmology and Astro-Particle Physics, Ohio State University, Columbus, OH 43210, USA Lyu, Y. ORCID:0000-0002-2333-4383 UC, Berkeley, Astron. Dept. LBL, Berkeley Department of Physics, University of California, Berkeley, CA 94720, USA Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA Macdonald, M. Harvard U. Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA 02138, USA Madsen, J. ORCID:0000-0003-2415-9959 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Magnus, E. ORCID:0009-0008-8111-1154 Vrije U., Brussels Vrije Universiteit Brussel (VUB), Dienst ELEM, B-1050 Brussels, Belgium Makino, Y. Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Manao, E. ORCID:0009-0002-6197-8574 Munich, Tech. U. Physik-department, Technische Universität München, D-85748 Garching, Germany Mancina, S. ORCID:0009-0003-9879-3896 Padua U. Dipartimento di Fisica e Astronomia Galileo Galilei, Università Degli Studi di Padova, I-35122 Padova PD, Italy Mand, A. ORCID:0009-0005-9697-1702 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Maris, I.C. ORCID:0000-0002-5771-1124 Brussels U. Université Libre de Bruxelles, Science Faculty CP230, B-1050 Brussels, Belgium Marka, S. ORCID:0000-0002-3957-1324 Nevis Labs, Columbia U. Columbia Astrophysics and Nevis Laboratories, Columbia University, New York, NY 10027, USA Marka, Z. ORCID:0000-0003-1306-5260 Nevis Labs, Columbia U. Columbia Astrophysics and Nevis Laboratories, Columbia University, New York, NY 10027, USA Marten, L. Aachen, Tech. Hochsch. III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany Martinez-Soler, I. ORCID:0000-0002-0308-3003 Harvard U. Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA 02138, USA Maruyama, R. ORCID:0000-0003-2794-512X Yale U. Department of Physics, Yale University, New Haven, CT 06520, USA Mauro, J. ORCID:0009-0005-9324-7970 Louvain U., CP3 Centre for Cosmology, Particle Physics and Phenomenology—CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium Mayhew, F. ORCID:0000-0001-7609-403X Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA McNally, F. ORCID:0000-0002-0785-2244 Kent State U. Department of Physics, Mercer University, Macon, GA 31207-0001, USA Mead, J.V. DARK Cosmology Ctr. Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark Meagher, K. ORCID:0000-0003-3967-1533 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Mechbal, S. DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, D-15738 Zeuthen, Germany Medina, A. Ohio State U., CCAPP Department of Physics and Center for Cosmology and Astro-Particle Physics, Ohio State University, Columbus, OH 43210, USA Meier, M. ORCID:0000-0002-9483-9450 Chiba U. Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan Merckx, Y. Vrije U., Brussels Vrije Universiteit Brussel (VUB), Dienst ELEM, B-1050 Brussels, Belgium Merten, L. ORCID:0000-0003-1332-9895 Ruhr U., Astron. Inst. Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany Mitchell, J. Southern U. Department of Physics, Southern University, Baton Rouge, LA 70813, USA Molchany, L. South Dakota Sch. Mines Tech. Physics Department, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA Mondal, S. Utah U., Math. Dept. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, USA Montaruli, T. ORCID:0000-0001-5014-2152 Geneva U. Département de physique nucléaire et corpusculaire, Université de Genève, CH-1211 Genève, Switzerland Moore, R.W. ORCID:0000-0003-4160-4700 Alberta U. Department of Physics, University of Alberta, Edmonton, Alberta, T6G 2E1, Canada Morii, Y. Chiba U. Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan Mosbrugger, A. Erlangen - Nuremberg U., ECAP Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany Moulai, M. ORCID:0000-0001-7909-5812 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Mousadi, D. DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, D-15738 Zeuthen, Germany Moyaux, E. Louvain U., CP3 Centre for Cosmology, Particle Physics and Phenomenology—CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium Mukherjee, T. ORCID:0000-0002-0962-4878 KIT, Karlsruhe, IAP Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany Naab, R. ORCID:0000-0003-2512-466X DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, D-15738 Zeuthen, Germany Nakos, M. Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Naumann, U. Wuppertal U. Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany Necker, J. ORCID:0000-0003-0280-7484 DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, D-15738 Zeuthen, Germany Neste, L. ORCID:0000-0002-4829-3469 Stockholm U. Stockholm U., OKC Oskar Klein Centre and Dept. of Physics, Stockholm University, SE-10691 Stockholm, Sweden Neumann, M. Munster U. Institut für Kernphysik, Universität Münster, D-48149 Münster, Germany Niederhausen, H. ORCID:0000-0002-9566-4904 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA Nisa, M.U. ORCID:0000-0002-6859-3944 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA Noda, K. Chiba U. Dept. of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan Noell, A. Aachen, Tech. Hochsch. III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany Novikov, A. Delaware U., Bartol Inst. Bartol Research Institute and Dept. of Physics and Astronomy, University of Delaware, Newark, DE 19716, USA Obertacke, A. ORCID:0000-0002-2492-043X Stockholm U. Stockholm U., OKC Oskar Klein Centre and Dept. of Physics, Stockholm University, SE-10691 Stockholm, Sweden O'Dell, V. ORCID:0000-0003-0903-543X Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Olivas, A. Maryland U. Department of Physics, University of Maryland, College Park, MD 20742, USA Orsoe, R. Munich, Tech. U. Physik-department, Technische Universität München, D-85748 Garching, Germany Osborn, J. ORCID:0000-0002-2924-0863 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA O'Sullivan, E. ORCID:0000-0003-1882-8802 Uppsala U. Department of Physics and Astronomy, Uppsala University, Box 516, SE-75120 Uppsala, Sweden Palusova, V. Mainz U., Inst. Phys. Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany Pandya, H. ORCID:0000-0002-6138-4808 Delaware U., Bartol Inst. Bartol Research Institute and Dept. of Physics and Astronomy, University of Delaware, Newark, DE 19716, USA Parenti, A. Brussels U. Université Libre de Bruxelles, Science Faculty CP230, B-1050 Brussels, Belgium Park, N. ORCID:0000-0002-4282-736X Queen's U., Kingston Department of Physics, Engineering Physics, and Astronomy, Queen’s University, Kingston, ON K7L 3N6, Canada Parrish, V. Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA Paudel, E.N. ORCID:0000-0001-9276-7994 Alabama U. Department of Physics and Astronomy, University of Alabama, Tuscaloosa, AL 35487, USA Paul, L. ORCID:0000-0003-4007-2829 South Dakota Sch. Mines Tech. Physics Department, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA de los Heros, C. Perez ORCID:0000-0002-2084-5866 Uppsala U. Department of Physics and Astronomy, Uppsala University, Box 516, SE-75120 Uppsala, Sweden Pernice, T. DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, D-15738 Zeuthen, Germany Petersen, T.C. DARK Cosmology Ctr. Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark Peterson, J. Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Plum, M. ORCID:0000-0001-8691-242X South Dakota Sch. Mines Tech. Physics Department, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA Ponten, A. Uppsala U. Department of Physics and Astronomy, Uppsala University, Box 516, SE-75120 Uppsala, Sweden Poojyam, V. Alabama U. Department of Physics and Astronomy, University of Alabama, Tuscaloosa, AL 35487, USA Popovych, Y. Mainz U., Inst. Phys. Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany Rodriguez, M. Prado Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Pries, B. ORCID:0000-0003-4811-9863 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA Procter-Murphy, R. Maryland U. Department of Physics, University of Maryland, College Park, MD 20742, USA Przybylski, G.T. LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA Pyras, L. ORCID:0000-0003-1146-9659 Utah U., Math. Dept. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, USA Raab, C. ORCID:0000-0001-9921-2668 Louvain U., CP3 Centre for Cosmology, Particle Physics and Phenomenology—CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium Rack-Helleis, J. Mainz U., Inst. Phys. Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany Rad, N. ORCID:0000-0002-5204-0851 DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, D-15738 Zeuthen, Germany Ravn, M. Uppsala U. Department of Physics and Astronomy, Uppsala University, Box 516, SE-75120 Uppsala, Sweden Rawlins, K. Alaska U., Anchorage Department of Physics and Astronomy, University of Alaska Anchorage, 3211 Providence Dr., Anchorage, AK 99508, USA Rechav, Z. ORCID:0000-0002-7653-8988 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Rehman, A. ORCID:0000-0001-7616-5790 Delaware U., Bartol Inst. Bartol Research Institute and Dept. of Physics and Astronomy, University of Delaware, Newark, DE 19716, USA Reistroffer, I. South Dakota Sch. Mines Tech. Physics Department, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA Resconi, E. ORCID:0000-0003-0705-2770 Munich, Tech. U. Physik-department, Technische Universität München, D-85748 Garching, Germany Reusch, S. DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, D-15738 Zeuthen, Germany Rho, C.D. ORCID:0000-0002-6524-9769 Sungkyunkwan U. Department of Physics, Sungkyunkwan University, Suwon 16419, Republic of Korea Rhode, W. Dortmund U. Dept. of Physics, TU Dortmund University, D-44221 Dortmund, Germany Ricca, L. ORCID:0009-0002-1638-0610 Louvain U., CP3 Centre for Cosmology, Particle Physics and Phenomenology—CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium Riedel, B. ORCID:0000-0002-9524-8943 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Rifaie, A. Wuppertal U. Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany Roberts, E.J. Adelaide U. Department of Physics, University of Adelaide, Adelaide, 5005, Australia Rongen, M. ORCID:0000-0002-7057-1007 Erlangen - Nuremberg U., ECAP Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany Rosted, A. ORCID:0000-0003-2410-400X Chiba U. Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan Rott, C. ORCID:0000-0002-6958-6033 Utah U., Math. Dept. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, USA Ruhe, T. ORCID:0000-0002-4080-9563 Dortmund U. Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany Ruohan, L. Munich, Tech. U. Physik-department, Technische Universität München, D-85748 Garching, Germany Ryckbosch, D. Gent U. Department of Physics and Astronomy, University of Gent, B-9000 Gent, Belgium Saffer, J. ORCID:0000-0002-0040-6129 KIT, Karlsruhe Karlsruhe Institute of Technology, Institute of Experimental Particle Physics, D-76021 Karlsruhe, Germany Salazar-Gallegos, D. ORCID:0000-0002-9312-9684 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA Sampathkumar, P. KIT, Karlsruhe, IAP Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany Sandrock, A. ORCID:0000-0002-6779-1172 Wuppertal U. Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany Sanger-Johnson, G. ORCID:0000-0002-4463-2902 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA Santander, M. Alabama U. Dept. of Physics and Astronomy, University of Alabama, Tuscaloosa, AL 35487, USA Sarkar, S. ORCID:0000-0002-3542-858X Oxford U., Theor. Phys. Department of Physics, University of Oxford, Parks Road, Oxford OX1 3PU, UK Savelberg, J. Aachen, Tech. Hochsch. III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany Scarnera, M. Louvain U., CP3 Centre for Cosmology, Particle Physics and Phenomenology—CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium Schaile, P. Munich, Tech. U. Physik-department, Technische Universität München, D-85748 Garching, Germany Schaufel, M. Aachen, Tech. Hochsch. III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany Schieler, H. ORCID:0000-0002-2637-4778 KIT, Karlsruhe, IAP Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany Schindler, S. ORCID:0000-0001-5507-8890 Erlangen - Nuremberg U., ECAP Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany Schlickmann, L. ORCID:0000-0002-9746-6872 Mainz U., Inst. Phys. Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany Schluter, B. Munster U. Institut für Kernphysik, Universität Münster, D-48149 Münster, Germany Schluter, F. ORCID:0000-0002-5545-4363 Brussels U. Université Libre de Bruxelles, Science Faculty CP230, B-1050 Brussels, Belgium Schmeisser, N. Wuppertal U. Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany Schmidt, T. Maryland U. Department of Physics, University of Maryland, College Park, MD 20742, USA Schroder, F.G. ORCID:0000-0001-8495-7210 KIT, Karlsruhe, IAP Delaware U., Bartol Inst. Bartol Research Institute and Dept. of Physics and Astronomy, University of Delaware, Newark, DE 19716, USA Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany Schumacher, L. ORCID:0000-0001-8945-6722 Erlangen - Nuremberg U., ECAP Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany Schwirn, S. Aachen, Tech. Hochsch. III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany Sclafani, S. ORCID:0000-0001-9446-1219 Maryland U. Department of Physics, University of Maryland, College Park, MD 20742, USA Seckel, D. Delaware U., Bartol Inst. Bartol Research Institute and Dept. of Physics and Astronomy, University of Delaware, Newark, DE 19716, USA Seen, L. ORCID:0009-0004-9204-0241 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Seikh, M. ORCID:0000-0002-4464-7354 Kansas U. Department of Physics and Astronomy, University of Kansas, Lawrence, KS 66045, USA Seunarine, S. ORCID:0000-0003-3272-6896 Wisconsin U., River Falls Department of Physics, University of Wisconsin, River Falls, WI 54022, USA Sevle Myhr, P.A. ORCID:0009-0005-9103-4410 Louvain U., CP3 Centre for Cosmology, Particle Physics and Phenomenology—CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium Shah, R. ORCID:0000-0003-2829-1260 Drexel U. Department of Physics, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104, USA Shefali, S. KIT, Karlsruhe Karlsruhe Institute of Technology, Institute of Experimental Particle Physics, D-76021 Karlsruhe, Germany Shimizu, N. ORCID:0000-0001-6857-1772 Chiba U. Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan Skrzypek, B. ORCID:0000-0002-0910-1057 UC, Berkeley, Astron. Dept. Department of Physics, University of California, Berkeley, CA 94720, USA Snihur, R. Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Soedingrekso, J. Dortmund U. Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany Søgaard, A. DARK Cosmology Ctr. Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark Soldin, D. ORCID:0000-0003-3005-7879 Utah U., Math. Dept. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, USA Soldin, P. ORCID:0000-0003-1761-2495 Aachen, Tech. Hochsch. III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany Sommani, G. ORCID:0000-0002-0094-826X Ruhr U., Astron. Inst. Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany Spannfellner, C. Munich, Tech. U. Physik-department, Technische Universität München, D-85748 Garching, Germany Spiczak, G.M. ORCID:0000-0002-0030-0519 Wisconsin U., River Falls Department of Physics, University of Wisconsin, River Falls, WI 54022, USA Spiering, C. ORCID:0000-0001-7372-0074 DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, D-15738 Zeuthen, Germany Stachurska, J. ORCID:0000-0002-0238-5608 Gent U. Department of Physics and Astronomy, University of Gent, B-9000 Gent, Belgium Stamatikos, M. Ohio State U., CCAPP Department of Physics and Center for Cosmology and Astro-Particle Physics, Ohio State University, Columbus, OH 43210, USA Stanev, T. Delaware U., Bartol Inst. Bartol Research Institute and Dept. of Physics and Astronomy, University of Delaware, Newark, DE 19716, USA Stezelberger, T. ORCID:0000-0003-2676-9574 LBL, Berkeley Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA Sturwald, T. Wuppertal U. Department of Physics, University of Wuppertal, D-42119 Wuppertal, Germany Stuttard, T. ORCID:0000-0001-7944-279X DARK Cosmology Ctr. Niels Bohr Institute, University of Copenhagen, DK-2100 Copenhagen, Denmark Sullivan, G.W. ORCID:0000-0002-2585-2352 Maryland U. Department of Physics, University of Maryland, College Park, MD 20742, USA Taboada, I. ORCID:0000-0003-3509-3457 Georgia Tech School of Physics and Center for Relativistic Astrophysics, Georgia Institute of Technology, Atlanta, GA 30332, USA Ter-Antonyan, S. ORCID:0000-0002-5788-1369 Southern U. Department of Physics, Southern University, Baton Rouge, LA 70813, USA Terliuk, A. Munich, Tech. U. Physik-department, Technische Universität München, D-85748 Garching, Germany Thakuri, A. South Dakota Sch. Mines Tech. Physics Department, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA Thiesmeyer, M. ORCID:0009-0003-0005-4762 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Thompson, W.G. ORCID:0000-0003-2988-7998 Harvard U. Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA 02138, USA Thwaites, J. ORCID:0000-0001-9179-3760 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Tilav, S. Delaware U., Bartol Inst. Bartol Research Institute and Dept. of Physics and Astronomy, University of Delaware, Newark, DE 19716, USA Tollefson, K. ORCID:0000-0001-9725-1479 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA Toscano, S. ORCID:0000-0002-1860-2240 Brussels U. Université Libre de Bruxelles, Science Faculty CP230, B-1050 Brussels, Belgium Tosi, D. Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Trettin, A. DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, D-15738 Zeuthen, Germany Upadhyay, A.K. ORCID:0000-0003-1957-2626 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Upshaw, K. Southern U. Department of Physics, Southern University, Baton Rouge, LA 70813, USA Vaidyanathan, A. ORCID:0000-0001-6591-3538 Marquette U. Department of Physics, Marquette University, Milwaukee, WI 53201, USA Valtonen-Mattila, N. ORCID:0000-0002-1830-098X Ruhr U., Astron. Inst. Uppsala U. Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany Department of Physics and Astronomy, Uppsala University, Box 516, SE-75120 Uppsala, Sweden Valverde, J. Marquette U. Department of Physics, Marquette University, Milwaukee, WI 53201, USA Vandenbroucke, J. ORCID:0000-0002-9867-6548 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Van Eeden, T. DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, D-15738 Zeuthen, Germany van Eijndhoven, N. ORCID:0000-0001-5558-3328 Vrije U., Brussels Vrije Universiteit Brussel (VUB), Dienst ELEM, B-1050 Brussels, Belgium Van Rootselaar, L. Dortmund U. Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany van Santen, J. ORCID:0000-0002-2412-9728 DESY, Zeuthen Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, D-15738 Zeuthen, Germany Vara, J. Munster U. Institut für Kernphysik, Universität Münster, D-48149 Münster, Germany Varsi, F. KIT, Karlsruhe Karlsruhe Institute of Technology, Institute of Experimental Particle Physics, D-76021 Karlsruhe, Germany Venugopal, M. KIT, Karlsruhe, IAP Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany Vereecken, M. Louvain U., CP3 Centre for Cosmology, Particle Physics and Phenomenology—CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium Vergara Carrasco, S. Canterbury U. Department of Physics and Astronomy, University of Canterbury, Private Bag 4800, Christchurch, New Zealand Verpoest, S. ORCID:0000-0002-3031-3206 Delaware U., Bartol Inst. Bartol Research Institute and Dept. of Physics and Astronomy, University of Delaware, Newark, DE 19716, USA Veske, D. Nevis Labs, Columbia U. Columbia Astrophysics and Nevis Laboratories, Columbia University, New York, NY 10027, USA Vijai, A. Maryland U. Department of Physics, University of Maryland, College Park, MD 20742, USA Villarreal, J. ORCID:0000-0001-9690-1310 MIT, LNS Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA Walck, C. Stockholm U. Stockholm U., OKC Oskar Klein Centre and Dept. of Physics, Stockholm University, SE-10691 Stockholm, Sweden Wang, A. ORCID:0009-0006-9420-2667 Georgia Tech School of Physics and Center for Relativistic Astrophysics, Georgia Institute of Technology, Atlanta, GA 30332, USA Warrick, E.H. S. ORCID:0009-0006-3975-1006 Alabama U. Department of Physics and Astronomy, University of Alabama, Tuscaloosa, AL 35487, USA Weaver, C. ORCID:0000-0003-2385-2559 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA Weigel, P. MIT, LNS Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA Weindl, A. KIT, Karlsruhe, IAP Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany Weldert, J. Mainz U., Inst. Phys. Institute of Physics, University of Mainz, Staudinger Weg 7, D-55099 Mainz, Germany Wen, A.Y. ORCID:0009-0009-4869-7867 Harvard U. Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA 02138, USA Wendt, C. ORCID:0000-0001-8076-8877 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Werthebach, J. Dortmund U. Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany Weyrauch, M. KIT, Karlsruhe, IAP Karlsruhe Institute of Technology, Institute for Astroparticle Physics, D-76021 Karlsruhe, Germany Whitehorn, N. ORCID:0000-0002-3157-0407 Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA Wiebusch, C.H. ORCID:0000-0002-6418-3008 Aachen, Tech. Hochsch. III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany Williams, D.R. Alabama U. Department of Physics and Astronomy, University of Alabama, Tuscaloosa, AL 35487, USA Witthaus, L. ORCID:0009-0000-0666-3671 Dortmund U. Department of Physics, TU Dortmund University, D-44221 Dortmund, Germany Wolf, M. ORCID:0000-0001-9991-3923 Munich, Tech. U. Physik-department, Technische Universität München, D-85748 Garching, Germany Wrede, G. Erlangen - Nuremberg U., ECAP Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, D-91058 Erlangen, Germany Xu, X.W. Southern U. Department of Physics, Southern University, Baton Rouge, LA 70813, USA Yanez, J.P. ORCID:0000-0002-5373-2569 Alberta U. Department of Physics, University of Alberta, Edmonton, Alberta, T6G 2E1, Canada Yao, Y. ORCID:0000-0002-4611-0075 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Yildizci, E. Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Yoshida, S. ORCID:0000-0003-2480-5105 Chiba U. Department of Physics and The International Center for Hadron Astrophysics, Chiba University, Chiba 263-8522, Japan Young, R. Kansas U. Department of Physics and Astronomy, University of Kansas, Lawrence, KS 66045, USA Yu, F. ORCID:0000-0002-5775-2452 Harvard U. Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA 02138, USA Yu, S. ORCID:0000-0003-0035-7766 Utah U., Math. Dept. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, USA Yuan, T. ORCID:0000-0002-7041-5872 Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA Jurowitzki, A. Zander Munich, Tech. U. Physik-department, Technische Universität München, D-85748 Garching, Germany Zegarelli, A. ORCID:0000-0003-1497-3826 Ruhr U., Astron. Inst. Fakultät für Physik & Astronomie, Ruhr-Universität Bochum, D-44780 Bochum, Germany Zhang, S. ORCID:0000-0002-2967-790X Michigan State U. Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA Zhang, Z. SUNY, Stony Brook Department of Physics and Astronomy, Stony Brook University, Stony Brook, NY 11794-3800, USA Zhelnin, P. ORCID:0000-0003-1019-8375 Harvard U. Department of Physics and Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA 02138, USA Zilberman, P. Wisconsin U., Madison Departmentof Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin–Madison, Madison, WI 53706, USA D’Ammando, F. ORCID:0000-0001-7618-7527 INAF-IRA, Bologna INAF-IRA Bologna, Via P. Gobetti 101, I-40129 Bologna, Italy FACT Collaboration H.E.S.S. Collaboration MAGIC Collaboration VERITAS Collaboration Fermi-LAT Collaboration IceCube Collaboration 141 2 Astrophys. J. 997 2026 2805012 105902 http://cds.cern.ch/record/2951756/files/IC201222A_VERITAS.png 00016 : IceCube-191001A (Section~\ref{sec:results_ic191001}) : IceCube-200107A (Section~\ref{sec:results_ic200107}) 2805013 38845 http://cds.cern.ch/record/2951756/files/combined_UL_IceCube_191001A.png 00010 : IceCube-190922B/AT2019pqh (Section~\protect\ref{sec:results_ic190922}) : IceCube-201114A/4FGL J0658.6+0636 (Section~\protect\ref{sec:results_ic201114}) 2805014 85466 http://cds.cern.ch/record/2951756/files/IC191001A_VERITAS.png 00017 : IceCube-200926A (Section~\ref{sec:results_ic200926}) : IceCube-201007A (Section~\ref{sec:results_ic201007}) 2805015 32964 http://cds.cern.ch/record/2951756/files/SED_GB6J0316+0904_Sep2025_corrected.png 00007 : Caption not extracted 2805016 104354 http://cds.cern.ch/record/2951756/files/IC171106A_VERITAS.png 00015 : IceCube-171106A (Section~\ref{sec:results_ehe171106A}) : IceCube-201222A (Section~\ref{sec:app_ic201222}) 2805017 38325 http://cds.cern.ch/record/2951756/files/SED_IC190730A_May2025.png 00023 : IceCube-190922B/AT2019pqh (Section~\ref{sec:results_ic190922}) : IceCube-191001A/AT2019dsg (Section~\ref{sec:results_ic191001}) 2805018 25632 http://cds.cern.ch/record/2951756/files/SED_PMNJ2016-0903_May2025.png 00004 : OP313 (Section~\protect\ref{sec:op313}) : OC457 (Section~\protect\ref{sec:oc457}) 2805019 92903 http://cds.cern.ch/record/2951756/files/nutoo_map_iact.png 00000 Skymap in equatorial coordinates showing IceCube alert positions in the period from September 2017 to January 2021. Alerts followed up by IACTs are shown in color (according to the alert type), and those not followed up are shown in gray. Letters indicate which IACTs participated in the observations (F - FACT, H - H.E.S.S., M - MAGIC, V - VERITAS). The latitude band between two dashed orange lines and two dashed red lines indicate regions of the sky that are potentially observable at zenith angles less than 45$^{\circ}$ from the northern (FACT, MAGIC, VERITAS) and southern (H.E.S.S.) IACTs, respectively. The light cyan band represents the overlapping visibility window for instruments in both hemispheres around the celestial equator, where the IceCube sensitivity to neutrinos in the $\sim 100$ TeV energy range is at its best. 2805020 35320 http://cds.cern.ch/record/2951756/files/SED_IC201114A_Sep2025_corrected.png 00027 : Caption not extracted 2805021 30149 http://cds.cern.ch/record/2951756/files/SED_IC171106A_Sep2025_corrected.png 00022 : IceCube-171106A/87GB 223537.9+070825 (Section~\ref{sec:results_ehe171106A}) : IceCube-190730A/PKS 1502+106 (Section~\ref{sec:results_ic190730}) 2805022 295981 http://cds.cern.ch/record/2951756/files/IceCube-200926A_HESS-UL_contour.png 00019 : Caption not extracted 2805023 49181 http://cds.cern.ch/record/2951756/files/SED_IC190730A_model_Rodrigues2021_quiescent2_May2025_short.png 00029 : Model comparison of the SED for blazar PKS~1502+106, potentially associated the single high-energy neutrino alert IC-190730A (Section~\ref{sec:results_ic190730}). Two different models are compared with IACT ULs and simultaneous MWL data, together with archival data~\citep[from ASI ASDC,][]{Stratta2011Mar}. : Caption not extracted 2805024 48556 http://cds.cern.ch/record/2951756/files/combined_UL_IceCube_171106A_EHE.png 00009 : IceCube-171106A/87GB~223537.9+070825 (Section~\protect\ref{sec:results_ehe171106A}) : IceCube-191001A/AT2019dsg (Section~\protect\ref{sec:results_ic191001}) 2805025 28495 http://cds.cern.ch/record/2951756/files/SED_IC200107A_Sep2025_corrected.png 00026 : Caption not extracted 2805026 2699597 http://cds.cern.ch/record/2951756/files/2512.16562.pdf Fulltext 2805027 37252 http://cds.cern.ch/record/2951756/files/SED_OC457_May2025.png 00006 : SEDs for the counterparts of the GFU-cluster alerts mentioned in the text. They comprise IACT ULs and simultaneous MWL data, together with archival data provided for comparison. : Caption not extracted 2805028 50301 http://cds.cern.ch/record/2951756/files/combined_UL_IceCube_201114A_source-pos.png 00012 : Combined differential-flux upper limits at $95\%~\mathrm{C.L.}$ for sources observed by multiple IACTs. : Caption not extracted 2805029 42910 http://cds.cern.ch/record/2951756/files/combined_UL_IceCube_200107A.png 00014 : Caption not extracted 2805030 28525 http://cds.cern.ch/record/2951756/files/SED_PMNJ0325-1843_May2025.png 00008 : Caption not extracted 2805031 30536 http://cds.cern.ch/record/2951756/files/SED_MG1J181841+0903_May2025.png 00003 : MG1J181841+0903 (Section~\protect\ref{sec:mg1J1818}) : PMNJ2016-0903 (Section~\protect\ref{sec:pmnj2016}) 2805032 349528 http://cds.cern.ch/record/2951756/files/IceCube-201114A_HESS-UL_contour_source.png 00021 : Caption not extracted 2805033 43041 http://cds.cern.ch/record/2951756/files/combined_UL_IceCube_190922B.png 00011 : GB6\,J0316+0904 (Section~\protect\ref{sec:gb6j0316}) : IceCube-200107A/4FGL J0955.1+3551 (Section~\protect\ref{sec:results_ic200107}) 2805034 47379 http://cds.cern.ch/record/2951756/files/combined_UL_GFU_GB6_J03160904.png 00013 : Caption not extracted 2805035 61156 http://cds.cern.ch/record/2951756/files/SED_IC190730A_model_Oikonomou2021_May2025_short.png 00028 : Comparison with model from \citet{2021JCAP...10..082O} in quiescent state. The black and green shaded areas correspond to the SED model and $\nu + \bar{\nu}$ all flavor from the paper respectively, while the red dashed line corresponds to the IC-190730A energy. : Comparison with model from \citet{Rodrigues2021May} in quiescent state. The purple solid line corresponds to the SED model from the paper, while the red dashed line corresponds to IC-190730A energy. 2805036 68982 http://cds.cern.ch/record/2951756/files/delay_nutoo.png 00001 Delay times plotted against exposure times for IACT follow-up observations of neutrino alerts in the period from September 2017 to January 2021. The delay is calculated from the neutrino event arrival time (single events) or the flare threshold-crossing time (clusters) up to the start of the IACT observation. Observations performed with delays of less than 100\,s or total exposures longer than 4 hours are labeled by alert names. The marker color represents the IACT performing the observation while the marker type represents the alert type. 2805037 35402 http://cds.cern.ch/record/2951756/files/UL_skymap_marker_final_contour_sources_hq_final.png 00018 : IceCube-201114A (Section~\ref{sec:results_ic201114}) : Integral VHE $\gamma$-ray flux upper-limit maps derived from VERITAS (a, b, c), MAGIC (d), and H.E.S.S. (e, f, g). The two white lines denote the 50\% and 90\% containment contours of the IceCube event localizations (for panels (c) and (d), only the 50\% containment contours are shown). The energy thresholds used to derive the upper-limit maps are 350, 200, 138, 150, 307, 530, and 326 GeV for panels (a) through (g), respectively. 2805038 43499 http://cds.cern.ch/record/2951756/files/1ES1312_SED.png 00002 1ES\,1312-423 MWL SED showing both archival data and observations obtained during the period following the GFU neutrino alert (March 12th-13th, 2019). 2805039 24271 http://cds.cern.ch/record/2951756/files/SED_IC191001A_Sep2025_corrected.png 00025 : SEDs for the potential counterparts of the single high-energy neutrino alerts. They comprise IACT ULs and simultaneous MWL data, together with archival data~\citep[from ASI ASDC,][]{Stratta2011Mar} provided for comparison. : Caption not extracted 2805040 293095 http://cds.cern.ch/record/2951756/files/IceCube-201007A_HESS-UL_Contour.png 00020 : Caption not extracted 2805041 26239 http://cds.cern.ch/record/2951756/files/SED_IC190922B_Sep2025_corrected.png 00024 : IceCube-200107A/4FGL J0955.1+3551 (Section~\ref{sec:results_ic200107}) : IceCube-201114A/4FGL J0658.6+0636 (Section~\ref{sec:results_ic201114}) 2805042 39660 http://cds.cern.ch/record/2951756/files/SED_OP313_May2025.png 00005 : GB6~J0316+0904 (Section~\protect\ref{sec:gb6j0316}) : PMN~J0325+1843 (Section~\protect\ref{sec:allskygfu}) 2816536 4877243 http://cds.cern.ch/record/2951756/files/document.pdf Fulltext 13 ARTICLE DELETED 2951146 SzGeCERN 20251215182206.0 DOI IOP 10.1088/1742-6596/3149/1/012004 oai:cds.cern.ch:2951146 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:3090930 2025-12-12T12:25:22Z 2025-12-13T05:00:05Z marcxml Inspire 3090930 eng Ferguson, Riley Craig rileycraig.ferguson@unitn.it U. Trento (main) CERN CERN, Geneva, Switzerland IOP Probing the Weak Equivalence Principle with a Moiré Deflectometer Using Antihydrogen at AEḡIS 2025 6 p IOP The nature of gravity’s influence on antimatter systems is still one of the most profound questions in modern physics, probing the very foundation of both General Relativity and the Weak Equivalence Principle (WEP). By performing a precise measurement on the free-fall acceleration of antihydrogen (${\bar {H}}$) experiments investigate whether antimatter experiences acceleration due to gravity in the same way as ordinary matter systems, a fundamental assumption that, if falsified, could signal new physics beyond the Standard Model. In the Antihydrogen Experiment: Gravity, Interferometry, Spectroscopy (AE${\bar {g}}$IS), located at CERN, a pulsed ${\bar {H}}$ beam is formed via charge-exchange reaction of positronium (Ps) and antiprotons (${\bar {p}}$). The ultimate intention for this beam is to pass the ${\bar {H}}$ through an instrument designed to measure the free-fall of particles, this device is known as a moiré deflectometer. In transport from the ${\bar {H}}$ formation to the moiré deflectometer, the ${\bar {H}}$ produced encounter both physical obstacles and nonuniform environmental conditions. ${\bar {H}}$ atoms entering the moiré deflectometer will be monitored from multiple detector systems designed to measure annihilation radiation both axially and radially. The purpose of this report is to present the operating physics principles and current developmental status of the moiré deflectometer. publication CC-BY-4.0 IOP https://creativecommons.org/licenses/by/4.0/ For annual report SzGeCERN Particle Physics - Experiment ARTICLE CERN AEḡIS Collaboration 012004 1 J. Phys. : Conf. Ser. 3149 C25-06-01.3 2025 2802821 1300488 http://cds.cern.ch/record/2951146/files/document.pdf Fulltext 13 2951069 012004 takamatsu20250601 ARTICLE ConferencePaper 2950825 20260313143550.0 oai:cds.cern.ch:2950825 cerncds:TALK eng Indico 890 CERN. Geneva WLCG@20 - Anniversary CERN - 81/R-003C - Science Gateway Auditorium C 2025-12-08T15:45:00 2025-12-08T16:05:00 1525790c13 Environmental Sustainability and WLCG 2025 2025-12-08 1548 Streaming video Workshops WLCG@20 - Anniversary 2025-12-08T15:45:00 CERN 2025 Workshops Event TALK CERN Britton, David speaker University of Glasgow (GB) https://indico.cern.ch/event/1525790/contributions/6783587/ Talk details https://indico.cern.ch/event/1525790/ Event details MediaArchive https://lecturemedia.cern.ch/2025/1525790c13/1525790c13-presentation-cover.jpg pngthumbnail thumbnail weblecture MediaArchive /mnt/master_share/master_data/2025/1525790c13 Absolute master path MediaArchive https://lecturemedia.cern.ch/2025/1525790c13/1525790c13-presentation-480p-quality.mp4 video/mp4 Content: presentation. Resolution: 640x360. Baudrate: 271704 MediaArchive https://lecturemedia.cern.ch/2025/1525790c13/1525790c13-presentation-1080p-quality.mp4 video/mp4 Content: presentation. Resolution: 1920x1080. Baudrate: 1487746 MediaArchive https://lecturemedia.cern.ch/2025/1525790c13/1525790c13-presentation-720p-quality.mp4 video/mp4 Content: presentation. Resolution: 1280x720. Baudrate: 803918 MediaArchive https://lecturemedia.cern.ch/2025/1525790c13/1525790c13-presentation-360p-quality.mp4 video/mp4 Content: presentation. Resolution: 480x270. Baudrate: 117973 MediaArchive https://lecturemedia.cern.ch/2025/1525790c13/1525790c13-presenter-1080p-quality.mp4 video/mp4 Content: presenter. Resolution: 1920x1080. Baudrate: 3665296 MediaArchive https://lecturemedia.cern.ch/2025/1525790c13/1525790c13-presenter-480p-quality.mp4 video/mp4 Content: presenter. Resolution: 640x360. Baudrate: 343411 MediaArchive https://lecturemedia.cern.ch/2025/1525790c13/1525790c13-presenter-360p-quality.mp4 video/mp4 Content: presenter. Resolution: 480x270. Baudrate: 88545 MediaArchive https://lecturemedia.cern.ch/2025/1525790c13/1525790c13-presenter-720p-quality.mp4 video/mp4 Content: presenter. Resolution: 1280x720. Baudrate: 1194409 catharine.noble@cern.ch 2025-03-12T08:02:56 2025-12-10T10:12:55 PUBLIC INDICO.1525790c13 https://videos.cern.ch/legacy/record/2950825 Indico CMTE MIGRATED 2950794 20251210204136.0 oai:cds.cern.ch:2950794 cerncds:FULLTEXT CERN-PBC-Notes-2025-011 eng Granados, Eduardo CERN eduardo.granados@cern.ch Vibration Study of the Laser Transfer Line Structure for The Gamma Factory Proof of Principle Experiment 2025 CERN Geneva 2025-12-03 15 The Gamma Factory at CERN is a developing experiment aiming to generate high-intensity gamma-ray beams through the interaction of laser pulses with ultra-relativistic ion beams. A key technical challenge is ensuring the mechanical stability of the laser transport system. Vibrations in the CERN accelerator tunnels can disturb laser alignment, reducing performance and preventing efficient gamma-ray production. This project addresses that challenge by studying the vibrational behavior of the periscope support pillar, a structure responsible for guiding the laser into the accelerator, using interferometric techniques capable of detecting motion at the nanometer scale. The work began with the design of a Fabry–Perot interferometer, chosen for its high sensitivity. However, its extreme sensitivity made it impractical to align and operate in a noisy environment. To overcome this limitation, a Michelson interferometer was developed instead, providing a balance between robustness and resolution. With this setup, vibrations were measured under free-running, shock, and impact conditions, allowing both environmental noise and intrinsic resonances of the pillar to be identified. The results reveal characteristic vibrational modes and confirm the pillar’s role in suppressing facility-generated noise, providing essential data for stabilizing the enhancement cavity in the upcoming proof-of-principle experiment. CERN Invenio WebSubmit GENSBM 1 SzGeCERN Accelerators and Storage Rings CERN Gamma Factory Physics Beyond Colliders 2801673 4689756 http://cds.cern.ch/record/2950794/files/Vibration_Study_GF_pillar.pdf 2801673 72835 http://cds.cern.ch/record/2950794/files/Vibration_Study_GF_pillar.gif?subformat=icon icon 2801673 75999 http://cds.cern.ch/record/2950794/files/Vibration_Study_GF_pillar.jpg?subformat=icon-180 icon-180 patricia.mage@cern.ch n 202550 NOTE 2953590 SzGeCERN 20260202131458.0 DOI SISSA 10.22323/1.485.0579 oai:cds.cern.ch:2953590 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN HAL hal-05481129 https://inspirehep.net/api/oai2d oai:inspirehep.net:3111198 2026-01-29T15:03:38Z 2026-01-30T06:23:18Z marcxml Inspire 3111198 eng Krasny, Mieczyslaw Witold mieczyslaw.witold.krasny@cern.ch LPNHE, Paris CERN CERN, BE-ABP, Geneva, Switzerland Gamma Factory: A novel research programme for CERN SISSA Gamma Factory’s high intensity particle beams and their potential impact on the future accelerator-technology-driven research 2026 11 p SISSA \abstract{{\bf "New directions in science are launched by new tools more often than by new concepts."} At the current stage of accelerator-technology-based research, where conventional methods have reached the saturation limits of particle beam energy and intensity, the Gamma Factory (GF) project proposes breakthroughs in beam intensity (up to seven orders of magnitude), quality (low emittance, polarization with CP tagging, and flavor tagging), and precision control for several types of particle beams.The Gamma Factory can produce primary (ions), secondary (photons), and tertiary (polarized positrons, muons, neutrinos, neutrons, and radioactive ions) beams with unprecedented wall-plug-to-beam power efficiency—outperforming existing schemes by several orders of magnitude.GF aims to extend CERN’s scientific program across multiple domains of research (particle, nuclear, atomic, astrophysics, accelerator, and applied physics) with reasonable investment costs by reusing CERN’s existing accelerator infrastructure. Its environmental impact is expected to be minimal, as the plug power required for its research program could be generated by a novel GF-beam-driven, waste-transmuting, subcritical nuclear reactor.New GF beam-cooling techniques and innovative methods for producing polarized muon beams could improve the precision of Standard Model parameter measurements and enable the first observation of exclusive production of Higgs bosons in photon–photon collisions.If implemented at CERN, the GF experimental program could follow the HL-LHC phase and be carried out during the preparation period for the next large-scale, energy-frontier accelerator.This contribution presents the ongoing GF R\&D; studies, including the recent world record in laser–photon beam power, the status of the GF proof-of-principle SPS experiment, and selected highlights from the latest quantitative analyses of GF research applications. publication CC-BY-NC-ND-4.0 SISSA https://creativecommons.org/licenses/by-nc-nd/4.0/ publication The Author(s) 2026 For annual report SzGeCERN Accelerators and Storage Rings ARTICLE CERN Gamma Factory Gamma Factory Study Group Collaboration 579 PoS EPS-HEP2025 C25-07-07 2026 2818535 8575570 http://cds.cern.ch/record/2953590/files/document.pdf Fulltext h 202605 13 2929495 579 marseille20250707 ARTICLE ConferencePaper 2953280 SzGeCERN 20260417091051.0 DOI MDPI 10.3390/app152212291 oai:cds.cern.ch:2953280 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:3099009 2026-01-26T15:28:00Z 2026-01-27T06:12:14Z marcxml Inspire 3099009 eng Otto, Thomas ORCID:0000-0002-6182-8659 ROR:https://ror.org/01ggx4157 CERN MDPI The New Operational Quantity Ambient Dose in Environmental Radiation Monitoring 2025 11 p MDPI The paper indicates that current environmental dosimeters must be modified for responding appropriately to low-energy photons when the new operational quantity Ambient Dose  is introduced.In ICRU Report 95, the International Commission on Radiation Units and Measurements (ICRU) has proposed jointly with the International Commission on Radiological Protection (ICRP) new operational quantities for external radiation. The quantity for environmental monitoring is ambient dose . This paper analyses how present ambient dosimeters and monitors for photons would respond to the new operational quantity. The results show that passive environmental dosimeters designed for determining ambient dose equivalent and capable of registering photons to energies as low as 10 keV show a strong overestimate of ambient dose in the energy interval from 15 keV to approximately 50 keV. Active dosimeters exhibit a low-energy cut-off and are not affected by the overestimation. In spectrometer-type ambient monitors, the operational quantity can be calculated by multiplying the unfolded count-rate spectrum with the conversion coefficient for . publication CC-BY-4.0 MDPI https://creativecommons.org/licenses/by/4.0/ Other publication The Author(s) 2025 author radiation protection dosimetry author environmental dosimetry author operational quantities author ambient dose author ICRU Report 95 ARTICLE CERN 12291 22 Appl. Sciences 15 2025 2817004 410916 http://cds.cern.ch/record/2953280/files/document.pdf Fulltext 13 ARTICLE 2953271 SzGeCERN 20260417091050.0 DOI National Academy of Sciences of the USA 10.1073/pnas.2506658122 oai:cds.cern.ch:2953271 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2026-01-27T06:12:12Z marcxml oai:inspirehep.net:3090010 2026-01-26T13:48:03Z Inspire 3090010 eng Xenofontos, Christos ORCID:0009-0004-7637-5199 ROR:https://ror.org/01q8k8p90 Cyprus Inst. National Academy of Sciences of the USA Global impact of anthropogenic NH3 emissions on upper tropospheric aerosol formation 2025 10 p National Academy of Sciences of the USA Anthropogenic ammonia (NH3) emissions have significantly increased in recent decades due to enhanced agricultural activities, contributing to global air pollution. While the effects of NH3 on surface air quality are well documented, its influence on particle dynamics in the upper troposphere-lower stratosphere (UTLS) and related aerosol impacts remain unquantified. NH3 reaches the UTLS through convective transport and can enhance new particle formation (NPF). This modeling study evaluates the global impact of anthropogenic NH3 on UTLS particle formation and quantifies its effects on aerosol loading and cloud condensation nuclei (CCN) abundance. We use the EMAC Earth system model, incorporating multicomponent NPF parameterizations from the CERN CLOUD experiment. Our simulations reveal that convective transport increases NH3-driven NPF in the UTLS by one to three orders of magnitude compared to a baseline scenario without anthropogenic NH3, causing a doubling of aerosol numbers over high-emission regions. These aerosol changes induce a 2.5-fold increase in upper tropospheric CCN concentrations. Anthropogenic NH3 emissions increase the relative contribution of water-soluble inorganic ions to the UTLS aerosol optical depth (AOD) by 20% and increase total column AOD by up to 80%. In simulations without anthropogenic NH3, UTLS aerosol composition is dominated by sulfate and organic species, with a marked reduction in ammonium nitrate and aerosol water content. This results in a decline of aerosol mass concentration by up to 50%. These findings underscore the profound global influence of anthropogenic NH3 emissions on UTLS particle formation, AOD, and CCN production, with important implications for cloud formation and climate. publication CC-BY-4.0 National Academy of Sciences of the USA https://creativecommons.org/licenses/by/4.0/ Other The Author(s) publication 2025 SzGeCERN Physics in General author new particle formation author anthropogenic NH3 emissions author UTLS author CCN author AOD ARTICLE CERN Kohl, Matthias ORCID:0000-0002-1829-4276 Mainz, Max Planck Inst. Ruhl, Samuel ORCID:0000-0002-5817-2679 Mainz, Max Planck Inst. Almeida, João ORCID:0000-0002-8502-2721 ROR:https://ror.org/01ggx4157 CERN Caudillo-Plath, Lucía ORCID:0000-0002-7290-6675 ROR:https://ror.org/04cvxnb49 Goethe U., Frankfurt (main) Cruz-Simbron, Romulo ROR:https://ror.org/02ttsq026 U. Colorado, Boulder Dada, Lubna ROR:https://ror.org/03eh3y714 PSI, Villigen Duplissy, Jonathan ROR:https://ror.org/040af2s02 U. Helsinki (main) Ehrhart, Sebastian Mainz, Max Planck Inst. Finkenzeller, Henning ORCID:0000-0002-8349-3714 ROR:https://ror.org/040af2s02 U. Helsinki (main) Höhler, Kristina ORCID:0000-0001-5503-9816 ROR:https://ror.org/04t3en479 KIT, Karlsruhe Kong, Weimeng ORCID:0000-0002-9432-2857 ROR:https://ror.org/05dxps055 Caltech, Pasadena (main) Kunkler, Felix ORCID:0009-0001-4168-9137 Mainz, Max Planck Inst. Lietzke, Clara J ROR:https://ror.org/02ttsq026 U. Colorado, Boulder Mentler, Bernhard ORCID:0000-0003-3852-0397 ROR:https://ror.org/054pv6659 Innsbruck U. Morawiec, Aleksandra ORCID:0009-0001-9845-4005 U. Vienna (main) Onnela, Antti ROR:https://ror.org/01ggx4157 CERN Rato, Pedro ROR:https://ror.org/01ggx4157 ROR:https://ror.org/04cvxnb49 CERN Goethe U., Frankfurt (main) Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt am Main 60438, Germany Rörup, Birte ROR:https://ror.org/040af2s02 U. Helsinki (main) Russell, Douglas M ROR:https://ror.org/04cvxnb49 Goethe U., Frankfurt (main) Schervish, Meredith ROR:https://ror.org/04gyf1771 UC, Irvine (main) Scholz, Wiebke ROR:https://ror.org/054pv6659 Innsbruck U. Sebastian, Milin Kaniyodical ROR:https://ror.org/04t3en479 KIT, Karlsruhe Simon, Mario ROR:https://ror.org/04cvxnb49 Goethe U., Frankfurt (main) Sommer, Eva ROR:https://ror.org/01ggx4157 CERN U. Vienna (main) Faculty of Physics, University of Vienna, Vienna 1090, Austria Tong, Yandong ROR:https://ror.org/02ttsq026 U. Colorado, Boulder Umo, Nsikanabasi Silas ORCID:0000-0002-2571-163X ROR:https://ror.org/04t3en479 KIT, Karlsruhe Unfer, Gabriela R ORCID:0000-0001-8727-2831 TROPOS, Leibniz Vettikkat, Lejish UEF, Kuopio Yang, Boxing ROR:https://ror.org/03eh3y714 PSI, Villigen Yu, Wenjuan ORCID:0009-0001-1351-7338 ROR:https://ror.org/040af2s02 U. Helsinki (main) Zgheib, Imad ORCID:0009-0002-4510-5036 Unlisted, CH Zheng, Zhensen ROR:https://ror.org/054pv6659 Innsbruck U. Unlisted, AT Ionicon Analytik GmbH, Innsbruck 6020, Austria Curtius, Joachim ORCID:0000-0003-3153-4630 ROR:https://ror.org/04cvxnb49 Goethe U., Frankfurt (main) Donahue, Neil M ORCID:0000-0003-3054-2364 ROR:https://ror.org/05x2bcf33 Carnegie Mellon U. (main) Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA 15213 Flagan, Richard C ROR:https://ror.org/05dxps055 Caltech, Pasadena (main) Gordon, Hamish ORCID:0000-0002-1822-3224 ROR:https://ror.org/05x2bcf33 Carnegie Mellon U. (main) El Haddad, Imad ROR:https://ror.org/03eh3y714 PSI, Villigen Hansel, Armin ORCID:0000-0002-1062-2394 ROR:https://ror.org/054pv6659 Innsbruck U. Harder, Hartwig Mainz, Max Planck Inst. He, Xu-Cheng ORCID:0000-0002-7416-306X ROR:https://ror.org/040af2s02 ROR:https://ror.org/013meh722 U. Helsinki (main) Cambridge U. (main) Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom Kirkby, Jasper ORCID:0000-0003-2341-9069 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/04cvxnb49 CERN Goethe U., Frankfurt (main) Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt am Main 60438, Germany Kulmala, Markku ORCID:0000-0003-3464-7825 ROR:https://ror.org/040af2s02 ROR:https://ror.org/01rxvg760 ROR:https://ror.org/00df5yc52 U. Helsinki (main) Nanjing U. (main) Beijing U. of Chem. Tech. School of Atmospheric Sciences, Joint International Research Laboratory of Atmospheric and Earth System Sciences, Nanjing University, Nanjing 210023, China Lehtipalo, Katrianne ROR:https://ror.org/040af2s02 U. Helsinki (main) Unlisted, FI Finnish Meteorological Institute, Helsinki 00101, Finland Möhler, Ottmar ORCID:0000-0002-7551-9814 ROR:https://ror.org/04t3en479 KIT, Karlsruhe Petäjä, Tuukka ORCID:0000-0002-1881-9044 ROR:https://ror.org/040af2s02 U. Helsinki (main) Pöhlker, Mira L TROPOS, Leibniz Schobesberger, Siegfried UEF, Kuopio Stolzenburg, Dominik ORCID:0000-0003-1014-1360 ROR:https://ror.org/04d836q62 TU Vienna Wang, Mingyi ROR:https://ror.org/024mw5h28 U. Chicago (main) Winkler, Paul M ORCID:0000-0001-6861-6029 U. Vienna (main) Worsnop, Douglas R ROR:https://ror.org/040af2s02 U. Helsinki (main) Aerodyne Research Inc., Billerica, MA 01821 Höpfner, Michael ORCID:0000-0002-4174-9531 ROR:https://ror.org/04t3en479 KIT, Karlsruhe Volkamer, Rainer ORCID:0000-0002-0899-1369 ROR:https://ror.org/02ttsq026 U. Colorado, Boulder Pozzer, Andrea ORCID:0000-0003-2440-6104 ROR:https://ror.org/01q8k8p90 Cyprus Inst. Mainz, Max Planck Inst. Department of Atmospheric Chemistry, Max Planck Institute for Chemistry, Mainz 55128, Germany Lelieveld, Jos ROR:https://ror.org/01q8k8p90 Cyprus Inst. Mainz, Max Planck Inst. Department of Atmospheric Chemistry, Max Planck Institute for Chemistry, Mainz 55128, Germany Christoudias, Theodoros ORCID:0000-0001-9050-3880 ROR:https://ror.org/01q8k8p90 Cyprus Inst. e2506658122 44 2025 Proc. Natl. Acad. Sci. U. S. A. 122 2816979 6888314 http://cds.cern.ch/record/2953271/files/document.pdf Fulltext 13 ARTICLE 2953270 SzGeCERN 20260127213728.0 DOI Elsevier Ltd 10.1016/j.apradiso.2025.112323 publication oai:cds.cern.ch:2953270 cerncds:CERN https://inspirehep.net/api/oai2d 2026-01-27T06:12:12Z marcxml oai:inspirehep.net:3086533 2026-01-26T15:30:12Z Inspire 3086533 eng Tang, YanBang yanbang.tang@cern.ch CAS, Beijing CERN European Organization for Nuclear Research (CERN), Geneva, Switzerland Elsevier Ltd An integrated machine learning framework for predicting anthropogenic and natural iodine isotopes in the South China Sea with uncertainty quantification 2025 6 p Elsevier Ltd Anthropogenic Iodine-129 (129I) is a critical long-lived radionuclide for tracing ocean circulation and environmental contamination. However, its measurement is costly and yields spatially sparse data, limiting comprehensive environmental assessment. This study proposes a novel, integrated machine learning framework to predict the concentrations of not only anthropogenic 129I but also stable 127I and their isotopic ratio (129I/127I) in the South China Sea using readily available oceanographic parameters. A Bayesian Neural Network (BNN) was developed as the core predictive model to provide robust uncertainty quantification for each estimate. The BNN's complex hyperparameters were systematically optimized using the Improved Snow Goose Algorithm (ISGA), a powerful metaheuristic method designed to efficiently navigate complex search spaces. The optimized ISGA-BNN framework demonstrated high predictive accuracy for all three targets when evaluated on an independent test set. The models achieved R2 values of 0.9623 for 127I, 0.9286 for the 129I/127I ratio, and 0.8148 for 129I. Diagnostic analysis confirmed that the BNN provided well-calibrated uncertainty intervals, accurately capturing the confidence level of each prediction. This framework represents an advancement by providing accurate, multi-target predictions with vital uncertainty estimates, holding potential for enhancing environmental monitoring and optimizing future sampling campaigns. •A multi-target Bayesian Neural Network framework is proposed.•The novel Improved Snow Goose Algorithm is applied.•The model achieves high predictive accuracy for stable 127I and anthropogenic 129I.•Model-derived uncertainty quantification provides a robust scientific basis. Elsevier Ltd publication 2025 Elsevier Ltd Anthropogenic radionuclides Elsevier Ltd South China Sea Elsevier Ltd Bayesian neural network Elsevier Ltd Metaheuristic optimization ARTICLE CERN 112323 publication 2026 Appl. Radiat. Isot. 228 13 ARTICLE 2953119 SzGeCERN 20260213170840.0 DOI JACOW 10.18429/JACoW-IPAC2025-THPS016 oai:cds.cern.ch:2953119 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2026-01-24T05:00:08Z marcxml oai:inspirehep.net:3100878 2026-01-23T16:01:41Z Inspire 3100878 eng Sosin, Mateusz U. Rome La Sapienza (main) CERN JACOW A multichannel Frequency Scanning Interferometry system for large scale metrology of accelerator components 2025 4 p JACOW In the frame of the High-Luminosity LHC (HL-LHC) project at CERN, a series of sensor solutions based on Frequency Scanning Interferometry (FSI) has been proposed for the alignment and monitoring of accelerator components along a total length of more than 800 m. The adoption of FSI technology reduces the overall cost of alignment installations, mitigates the impact of environmental noise, and limits the space required for signal cables. A development strategy for multi-channel interferometers, covering over 500 diverse FSI sensors has been put in place.This paper deals with the development and testing of the FSI interferometer. Initially, a prototype with 16 channels was installed and qualified. Following successful qualification tests, larger-scale implementations with 32 and 64 channels were deployed, enabling comprehensive tests with the entire spectrum of FSI sensors installed on a movable component. This process prepares for the deployment of the final 256-channel interferometer for the HL-LHC. This contribution presents details of the interferometer solution, encompassing optics, electronics, and software design, along with the results and analysis of the system tests. CC-BY-4.0 JACOW https://creativecommons.org/licenses/by/4.0 publication publication 2025 The Author(s) For annual report SzGeCERN Accelerators and Storage Rings author optics author alignment author software author controls author GPU ARTICLE CERN Marquet, Alexis U. Rome La Sapienza (main) CERN Schofield, Brad U. Rome La Sapienza (main) CERN Franco, Clara Cala U. Rome La Sapienza (main) CERN Durand, Helene Mainaud U. Rome La Sapienza (main) CERN Gonzalez Cobas, Juan U. Rome La Sapienza (main) CERN Lipinski, Maciej U. Rome La Sapienza (main) CERN Fernandez Cruchaga, Miguel U. Rome La Sapienza (main) CERN Peronnard, Paul U. Rome La Sapienza (main) CERN Wlostowski, Tomasz U. Rome La Sapienza (main) CERN 2984 IPAC2025 C25-06-01 2025 JACoW IPAC 2025 2816614 3951135 http://cds.cern.ch/record/2953119/files/document.pdf Fulltext 13 2935864 Taipei20250601 2984 ARTICLE ConferencePaper 2952921 20260306084801.0 DOI arXiv 10.23731/CYRM-2025-0011 publication oai:cds.cern.ch:2952921 cerncds:FULLTEXT cerncds:REPORT cerncds:CERN:FULLTEXT INIS cerncds:CERN arXiv oai:arXiv.org:2511.20417 Inspire oai:inspirehep.net:3086302 2026-01-23T00:01:20Z 2026-01-24T03:00:03Z marcxml true https://inspirehep.net/api/oai2d Inspire 3086302 arXiv arXiv:2511.20417 physics.acc-ph arXiv:reportnumber CERN-2025-011 eng CERN Yellow Report CERN-2025-011 Arduini, G. CERN CERN, CH-1211 Geneva 23, Switzerland arXiv Comparative evaluation of future collider options 2025-11-25 83 p CERN Yellow Reports: Monographs 011/2025 arXiv 83 pages, 10 figures. Report from the Future Colliders Comparative Evaluation Working Group. Input to the European Strategy for Particle Physics (2026 Update), ID 281 - see https://indico.cern.ch/event/1439855/contributions/6542430/ arXiv In anticipation of the completion of the High-Luminosity Large Hadron Collider (HL-LHC) programme by the end of 2041, CERN is preparing to launch a new major facility in the mid-2040s. According to the 2020 update of the European Strategy for Particle Physics (ESPP), the highest-priority next collider is an electron-positron Higgs factory, followed in the longer term by a hadron-hadron collider at the highest achievable energy. The CERN directorate established a Future Colliders Comparative Evaluation working group in June 2023. This group brings together project leaders and domain experts to conduct a consistent evaluation of the Future Circular Collider (FCC) and alternative scenarios based on shared assumptions and standardized criteria. This report presents a comparative evaluation of proposed future collider projects submitted as input for the Update of the European Strategy for Particle Physics. These proposals are compared considering main performance parameters, environmental impact and sustainability, technical maturity, cost of construction and operation, required human resources, and realistic implementation timelines. An overview of the international collider projects within a similar timeframe, notably the CEPC in China and the ILC in Japan is also presented, as well as a short review of the status and prospects of new accelerator techniques. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ arXiv hep-ex SzGeCERN Particle Physics - Experiment arXiv physics.acc-ph SzGeCERN Accelerators and Storage Rings CERN PREPRINT YELLOW REPORT REPORT Benedikt, M. CERN Gianotti, F. CERN Jakobs, K. Freiburg U. Lamont, M. CERN Losito, R. CERN Meddahi, M. CERN Mnich, J. CERN Mounet, N. CERN CERN, CH-1211 Geneva 23, Switzerland Schulte, D. CERN Sonnemann, F. CERN Stapnes, S. CERN Zimmermann, F. CERN publication Comparative evaluation of future collider options, Future Colliders Comparative Evaluation Working Group. CERN Yellow Reports: Monographs, CERN-2025-011 (CERN, Geneva, 2025) 2815823 63811 http://cds.cern.ch/record/2952921/files/CLIC-layout-380GeV.png 00001 Conceptual layout of the \acrshort{clic} collider (\SI{380}{\GeV}). 2815824 1993261 http://cds.cern.ch/record/2952921/files/ILC.png 00003 Conceptual layout of the \acrshort{lcf}/\acrshort{ilc} collider. 2815825 64692 http://cds.cern.ch/record/2952921/files/FCChh_diagram.png 00004 Schematic diagram of the \acrshort{fcchh} collider. 2815827 61727 http://cds.cern.ch/record/2952921/files/MuCol_Schematic_Simple_250325.png 00005 Conceptual layout of the \SI{3}{\TeV} (black line) and \SI{10}{\TeV} (red line) \acrshort{mc} complex~\cite{bib:imcc_esppu2026}. 2815828 99949 http://cds.cern.ch/record/2952921/files/int_lumi_per_TWh.png 00000 Integrated luminosity over all experiments per year of nominal operation, per unit of electricity consumption for future electron-positron colliders (excluding off-line computing)---see Tables~\ref{tab:Parameters_CLIC_FCC_LCF},~\ref{tab:Param_CLIC_LCF_upgrades} and~\ref{tab:Parameters_ILC_CEPC_rescaled}; the performance has been rescaled to the \acrshort{fccee} operational year for \acrshort{cepc} and to \acrshort{lcf} 250 \acrfull{lp} for the \acrshort{ilc} (see Table~\ref{tab:operational_year}). For \acrshortpl{lc} the total luminosity (including that below 99\% of the nominal \acrshort{com}\ energy) is considered. \acrshort{lep} and \acrshort{lep2} data were respectively taken for the years 1993 and 2000~\cite{bib:Assmann_LEP2,bib:electricity_LEP_1993,bib:electricity_LEP2_2000}. For the \acrshort{ilc}, a single \acrshort{ip} is considered but with two experiments (in ``push-pull'' mode, see Section~\ref{sec:ILC_intro}). The information for \acrshort{lep3} has not been added at this stage. 2815829 165543 http://cds.cern.ch/record/2952921/files/MuCol_Costrange_bars.png 00006 Cost range for a \acrshort{mc} implementation at \acrshort{cern} using existing infrastructure and for a site-independent implementation. The cost of the two experiments is not included in the estimate. 2815830 64804 http://cds.cern.ch/record/2952921/files/FCCee_diagram.png 00002 Schematic diagram of the \acrshort{fccee} collider. 2824060 2826583 http://cds.cern.ch/record/2952921/files/Fulltext.pdf CERN-2025-011 2824060 67152 http://cds.cern.ch/record/2952921/files/Fulltext.gif?subformat=icon icon CERN-2025-011 2824060 67524 http://cds.cern.ch/record/2952921/files/Fulltext.jpg?subformat=icon-180 icon-180 CERN-2025-011 2824060 90082 http://cds.cern.ch/record/2952921/files/Fulltext.jpg?subformat=icon-1440 icon-1440 CERN-2025-011 2824060 90082 http://cds.cern.ch/record/2952921/files/Fulltext.jpg?subformat=icon-640 icon-640 CERN-2025-011 2824060 90082 http://cds.cern.ch/record/2952921/files/Fulltext.jpg?subformat=icon-700 icon-700 CERN-2025-011 11 ConferencePaper PREPRINT REPORT BOOK 2952765 SzGeCERN 20260212160842.0 DOI JACOW 10.18429/JACoW-IPAC2025-MOPM027 oai:cds.cern.ch:2952765 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2026-01-20T05:00:03Z marcxml oai:inspirehep.net:3098741 2026-01-19T12:55:52Z Inspire 3098741 eng Skoufaris, Kyriacos CERN JACOW Impact of ground motion on FCC-ee performance 2025 4 p JACOW The Future Circular Collider for electron-positron collisions (FCC-ee) is a proposed next-generation particle accelerator aimed at achieving high luminosity and precision for fundamental particle physics experiments. Its performance is sensitive to environmental factors such as ground motion, which can induce vibrations and misalignments in critical accelerator components. This paper presents a detailed study on the impact of ground motion on FCC-ee performance, with a focus on beam stability, alignment tolerances, and the complex interplay between ground motion and operational parameters. Using advanced simulations and analytical modeling, we evaluate the FCC-ee's sensitivity to various ground motion scenarios, ranging from localized, uncorrelated disturbances to correlated plane waves, and analyze their effects on the beam optics, orbit distortions, and overall beam dynamics. The findings provide valuable insights into the design and operational strategies required to mitigate ground motion effects, guiding future research and engineering efforts to ensure the successful realization of the FCC-ee project. publication CC-BY-4.0 JACOW https://creativecommons.org/licenses/by/4.0 The Author(s) publication 2025 For annual report SzGeCERN Accelerators and Storage Rings author sextupole author quadrupole author alignment author collider author simulation ARTICLE CERN Tomas, Rogelio CERN MOPM027 IPAC2025 C25-06-01 2025 JACoW IPAC 2025 2815403 1714495 http://cds.cern.ch/record/2952765/files/document.pdf Fulltext 13 2935864 Taipei20250601 MOPM027 ARTICLE ConferencePaper 2952764 SzGeCERN 20260212160842.0 DOI JACOW 10.18429/JACoW-IPAC2025-FRZD3 oai:cds.cern.ch:2952764 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2026-01-20T05:00:03Z marcxml oai:inspirehep.net:3100779 2026-01-19T14:35:34Z Inspire 3100779 eng Zimmermann, Frank ROR:https://ror.org/01ggx4157 CERN JACOW Highlights from Future Circular Collider Feasibility Study and Path to Construction 2025 6 p JACOW The proposed Future Circular Collider (FCC) integrated programme consists of two stages: an electron–positron collider serving as a Higgs-boson, electroweak and top-quark factory,followed by a proton–proton collider operating at a collision energy around 100 TeV. In 2021, in response to the 2020 update of the European Strategy for Particle Physics, the CERN Council initiated the FCC Feasibility Study. This study covered, inter alia, physics objectives and potential, geology, civil engineering, technical infrastructure, territorial implementation, environmental aspects, R&D; needs for the accelerators and detectors, socio-economic benefits, and cost. The FCC Feasibility Study was completed on 31 March 2025. We present a few key results along with accelerator R&D; goals and discuss the next steps. publication CC-BY-4.0 JACOW https://creativecommons.org/licenses/by/4.0 The Author(s) publication 2025 For annual report SzGeCERN Accelerators and Storage Rings author collider author operation author luminosity author cavity author electron author electronics author positron author acceleration author bunching author linac author cryomodule ARTICLE CERN Benedikt, Michael ROR:https://ror.org/01ggx4157 CERN FRZD3 IPAC2025 C25-06-01 2025 JACoW IPAC 2025 2815402 9954092 http://cds.cern.ch/record/2952764/files/document.pdf Fulltext 13 2935864 Taipei20250601 FRZD3 ARTICLE ConferencePaper 2952742 SzGeCERN 20260204163512.0 DOI JACOW 10.18429/JACoW-ICALEPCS2025-TUPD014 oai:cds.cern.ch:2952742 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:3102584 2026-01-19T13:07:41Z 2026-01-20T05:00:03Z marcxml Inspire 3102584 eng Zwalinski, Lukasz CERN JACOW Installation and commissioning progress of the 2PACL CO2 cooling control systems for Phase II upgrade of the ATLAS and CMS experiments 2025 5 p JACOW In the scope of the High Luminosity Program of the Large Hadron Collider at CERN, the ATLAS and CMS experiments are progressing in the installation and commissioning of their environmentally friendly low temperature detector cooling systems for their new trackers, calorimeters and timing detectors. The selected “on-detector” cooling solution is the CO2 pumped loop concept which is the evolution of the successful 2PACL technique allowing for oil-free, stable, low-temperature control. These systems are of unprecedented scale and largely more complex for both mechanics and controls than installations of today. This paper will present a control system overview, applied PLC architecture and the installation and commissioning progress achieved by the EP-DT group at CERN over the last years. We will describe in detail homogenised solutions which spreads between surface and underground and have been applied for future CO2 cooling systems for silicon detectors at ATLAS and CMS. We will describe in detail applied multi-level redundancy for electricity distribution, mechanics and controls. We will discuss numerous controls-related solutions deployed for electrical design organization, instrumentation selection and PLC programming. We will finally present how we organised early control system commissioning as initial step for LHC Long Shut down 3. publication CC-BY-4.0 https://creativecommons.org/licenses/by/4.0 publication The Author(s) 2025 For annual report SzGeCERN Computing and Computers author controls author detector author PLC author operation author accumulation ARTICLE CERN Baran, Andzrej CERN Verlaat, Bart CERN Teixeira, Daniella Ida CERN Daguin, Jerome CERN Sliwa, Krzysztof CERN Davoine, Loic Thomas CERN Ciupinski, Marcin Andrzej CERN Doubek, Martin CERN Zimny, Michal Zbigniew CERN Petagna, Paolo CERN Galuszka, Szymon Jan CERN Bhanot, Viren CERN Herpin, Yann CERN TUPD014 JACoW ICALEPCS2025 ICALEPCS2025 C25-09-20 2025 2815374 1254866 http://cds.cern.ch/record/2952742/files/document.pdf Fulltext h 202604 13 2940524 TUPD014 chicago20250920 ARTICLE ConferencePaper 2952737 SzGeCERN 20260204163511.0 DOI JACOW 10.18429/JACoW-ICALEPCS2025-WEPD073 oai:cds.cern.ch:2952737 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:3102585 2026-01-19T13:28:29Z 2026-01-20T05:00:03Z marcxml Inspire 3102585 eng Martínez Samblas, Javier ROR:https://ror.org/01ggx4157 CERN JACOW Using computer vision for online calibration of beam instruments at CERN 2025 5 p JACOW Accurate calibration of beam instrumentation is critical for the optimal operation of particle accelerators. This work presents a case study of a beam imaging system at CERN’s Antiproton Decelerator (AD) target, composed of a light-emitting screen interacting with the beam and an observation camera. During operational use, the system required frequent online recalibrations to address temperature-induced image drifts. To resolve this issue, a fully automated procedure was developed that periodically acquired images and applied multiple computer vision techniques. These techniques included custom curve-fitting methods applied to pre-processed regions of interest and SIFT-based (Scale-Invariant Feature Transform) feature detection to track and correct positional shifts. By automatically performing recalibrations at regular intervals, the approach has significantly enhanced consistency and reliability, enabling continuous and precise beam monitoring in varying environmental conditions. This stabilization technique has subsequently contributed to the optimization of antiproton production at the AD facility. The paper first introduces the challenges associated with calibrating the beam imaging instrumentation of the AD target. It then presents the chosen image analysis techniques, followed by a discussion of the results and measurement errors of the tested methods. Finally, an outlook on potential future improvements is provided. publication CC-BY-4.0 https://creativecommons.org/licenses/by/4.0 publication The Author(s) 2025 For annual report SzGeCERN Computing and Computers author target author operation author instrumentation author antiproton author timing ARTICLE CERN Gonzalez-Berges, Manuel ROR:https://ror.org/01ggx4157 CERN Burger, Stephane ROR:https://ror.org/01ggx4157 CERN WEPD073 JACoW ICALEPCS2025 ICALEPCS2025 C25-09-20 2025 2815369 2725959 http://cds.cern.ch/record/2952737/files/document.pdf Fulltext h 202604 13 2940524 WEPD073 chicago20250920 ARTICLE ConferencePaper 2952438 SzGeCERN 20260116203106.0 DOI IOP 10.1088/1748-0221/20/12/C12011 oai:cds.cern.ch:2952438 cerncds:CERN HAL hal-05455738 https://inspirehep.net/api/oai2d 2026-01-15T05:00:09Z marcxml oai:inspirehep.net:3101774 2026-01-14T08:38:46Z Inspire 3101774 eng Verzeroli, M ORCID:0000-0002-7238-3616 IP2I, Lyon IOP Searching for alternative gases in RPC detectors performance studies of eco-friendly gas mixture 2025 9 p IOP Resistive Plate Chamber (RPC) detectors used in CERN's LHC experiments traditionally operate with a gas mixture containing C$_{2}$H$_{2}$F$_{4}$ (R134a) and SF$_{6}$, both of which are greenhouse gases with high Global Warming Potential (GWP). In Europe, the production of these fluorinated gases is being phased out, making the identification of environmentally friendly alternatives increasingly urgent.This study evaluates the performance of RPC detectors when R134a or SF$_{6}$ are replaced with candidate gases featuring a lower GWP. Detector tests are first conducted in a controlled laboratory environment using cosmic muons, followed by beam tests at the CERN Gamma Irradiation Facility. There, a muon beam is combined with background irradiation from a12TBq 137Cs source to emulate LHC-like conditions.Key detector parameters under investigation include efficiency, dark current, streamer probability, mean prompt charge, cluster size, and time resolution. The results aim to provide an initial selection of promising eco-friendly gas mixtures, paving the way for future long-term ageing tests to assess their durability and operational stability.This work presents the results obtained with these alternative gas mixtures. IOP Publishing Ltd and Sissa Medialab publication 2025 For annual report SzGeCERN Detectors and Experimental Techniques author Gaseous detectors author Materials for gaseous detectors author Particle detectors author Resistive-plate chambers ARTICLE CERN Guida, R CERN Juks, S A ORCID:0009-0003-5441-6458 Saclay Kerker, M ORCID:0009-0001-3790-6362 RWTH Aachen U. Mandelli, B ORCID:0000-0002-4343-4613 CERN Rigoletti, G ORCID:0000-0001-9152-7593 CERN C12011 12 C25-07-06.2 2025 JINST 20 13 2936463 bratislava20250706 C12011 ARTICLE ConferencePaper 2952326 SzGeCERN 20260116163411.0 DOI SISSA 10.22323/1.501.1347 oai:cds.cern.ch:2952326 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2026-01-14T05:00:08Z marcxml oai:inspirehep.net:3099241 2026-01-13T16:51:20Z Inspire 3099241 eng Abbrescia, M ROR:https://ror.org/03c44v465 ROR:https://ror.org/022hq6c49 Bari Polytechnic INFN, Bari INFN, Sezione di Bari, Italy SISSA Analysis of annual periodicities in the muon rate measured by the EEE detectors installed at the high- latitude site of Ny-Ȧlesund 2025 10 p SISSA Three scintillator detectors with SiPM readout systems and low-cost control electronics have beendeployed at the Ny Ålesund research station (Svalbard, 79°N) since 2019 to measure secondarycosmic ray muon flux. The detectors operate within the EEE Project network comprising approx-imately 100 Italian secondary schools. Analysis of the accumulated dataset spanning nearly fiveyears reveals a pronounced periodic modulation in the muon count rate with an annual period.The Lomb-Scargle periodogram method, which uses sinusoidal fit optimization, was applied toquantify the amplitude and phase of this annual variation. The observed modulation was verifiedto be independent of environmental parameters and instrumental effects publication CC-BY-NC-ND-4.0 SISSA https://creativecommons.org/licenses/by-nc-nd/4.0/ The Author(s) publication 2025 For annual report SzGeCERN Astrophysics and Astronomy ARTICLE CERN EEE Avanzini, C ROR:https://ror.org/03ad39j10 ROR:https://ror.org/05symbg58 Pisa U. INFN, Pisa INFN, Sezione di Pisa, Italy Baldini, L ROR:https://ror.org/03ad39j10 ROR:https://ror.org/05symbg58 Pisa U. INFN, Pisa INFN, Sezione di Pisa, Italy Ferroli, R Baldini ROR:https://ror.org/049jf1a25 Frascati Batignani, G ROR:https://ror.org/03ad39j10 ROR:https://ror.org/05symbg58 ROR:https://ror.org/043kfae87 ROR:https://ror.org/0192m2k53 Pisa U. INFN, Pisa Enrico Fermi Ctr., Rome INFN, Salerno Salerno U. INFN, Sezione di Pisa, Italy Battaglieri, M ROR:https://ror.org/02v89pq06 ROR:https://ror.org/0107c5v14 INFN, Genoa Genoa U. Bossini, E ROR:https://ror.org/05symbg58 INFN, Pisa Carnesecchi, F ROR:https://ror.org/01ggx4157 CERN Cavazza, D ROR:https://ror.org/04j0x0h93 INFN, Bologna Cicalò, C ROR:https://ror.org/03paz5966 INFN, Cagliari Cifarelli, L ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/043kfae87 ROR:https://ror.org/0192m2k53 INFN, Bologna Unlisted, IT Enrico Fermi Ctr., Rome INFN, Salerno Salerno U. Dipartimento di Fisica e Astronomia "A. Righi", Università di Bologna, Italy Coccetti, F ROR:https://ror.org/043kfae87 ROR:https://ror.org/0192m2k53 Enrico Fermi Ctr., Rome INFN, Salerno Salerno U. Coccia, E ROR:https://ror.org/043qcb444 GSSI, Aquila Corvaglia, A ROR:https://ror.org/00qrf6g60 ROR:https://ror.org/04x4znw66 INFN, Lecce Pierre Auger Observ. De Caro, A ROR:https://ror.org/0192m2k53 ROR:https://ror.org/043kfae87 Salerno U. INFN, Salerno Enrico Fermi Ctr., Rome INFN Gruppo Collegato di Salerno, Napoli, Italy De Gruttola, D ROR:https://ror.org/0192m2k53 ROR:https://ror.org/043kfae87 Salerno U. INFN, Salerno Enrico Fermi Ctr., Rome INFN Gruppo Collegato di Salerno, Napoli, Italy De Pasquale, S ROR:https://ror.org/0192m2k53 ROR:https://ror.org/043kfae87 Salerno U. INFN, Salerno Enrico Fermi Ctr., Rome INFN Gruppo Collegato di Salerno, Napoli, Italy Galante, L ROR:https://ror.org/01vj6ck58 ROR:https://ror.org/00bgk9508 INFN, Turin Turin Polytechnic Garbini, M ROR:https://ror.org/043kfae87 ROR:https://ror.org/0192m2k53 ROR:https://ror.org/04j0x0h93 Enrico Fermi Ctr., Rome INFN, Salerno Salerno U. INFN, Bologna INFN Sezione di Bologna, Italy Ghezzer, L E Trento U. Gnesi, I ROR:https://ror.org/043kfae87 ROR:https://ror.org/0192m2k53 Enrico Fermi Ctr., Rome INFN, Salerno Salerno U. INFN, Cosenza INFN Gruppo Collegato di Cosenza, Rende (Cosenza), Italy Gramegna, F ROR:https://ror.org/025e3ct30 INFN, Legnaro Gramstad, E ROR:https://ror.org/01xtthb56 Oslo U. Grazzi, S ROR:https://ror.org/02v89pq06 ROR:https://ror.org/0107c5v14 Messina U. INFN, Genoa Genoa U. INFN, Sezione di Genova, Italy Haland, E S ROR:https://ror.org/01xtthb56 Oslo U. Hatzifotiadou, D ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/01ggx4157 INFN, Bologna CERN CERN, Geneva, Switzerland La Rocca, P ROR:https://ror.org/03a64bh57 ROR:https://ror.org/02pq29p90 ROR:https://ror.org/02wdzfm91 ROR:https://ror.org/043kfae87 ROR:https://ror.org/0192m2k53 Catania U. INFN, Catania Catania, CSFNSM Enrico Fermi Ctr., Rome INFN, Salerno Salerno U. INFN Sezione di Catania, Italy Lazzizzera, I ROR:https://ror.org/00nhs3j29 TIFPA-INFN, Trento Mandaglio, G ROR:https://ror.org/02pq29p90 ROR:https://ror.org/03a64bh57 ROR:https://ror.org/02wdzfm91 Messina U. INFN, Catania Catania U. Catania, CSFNSM INFN Sezione di Catania, Italy Margotti, A ROR:https://ror.org/04j0x0h93 INFN, Bologna Maron, G ROR:https://ror.org/025e3ct30 INFN, Legnaro Mazziotta, M N ROR:https://ror.org/022hq6c49 INFN, Bari Mulliri, A ROR:https://ror.org/003109y17 ROR:https://ror.org/03paz5966 Cagliari U. INFN, Cagliari INFN, Sezione di Cagliari, Italy Nania, R ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/043kfae87 ROR:https://ror.org/0192m2k53 INFN, Bologna Enrico Fermi Ctr., Rome INFN, Salerno Salerno U. Museo Storico della Fisica e Centro Studi e Ricerche "E. Fermi", Roma, Italy Noferini, F ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/043kfae87 ROR:https://ror.org/0192m2k53 INFN, Bologna Enrico Fermi Ctr., Rome INFN, Salerno Salerno U. Museo Storico della Fisica e Centro Studi e Ricerche "E. Fermi", Roma, Italy Nozzoli, F ROR:https://ror.org/00nhs3j29 TIFPA-INFN, Trento Ould-Saada, F ROR:https://ror.org/01xtthb56 Oslo U. Palmonari, F ROR:https://ror.org/04j0x0h93 Unlisted, IT INFN, Bologna INFN Sezione di Bologna, Italy Panareo, M ROR:https://ror.org/03fc1k060 ROR:https://ror.org/00qrf6g60 ROR:https://ror.org/04x4znw66 Salento U. INFN, Lecce Pierre Auger Observ. INFN Sezione di Lecce, Italy Panetta, M P ROR:https://ror.org/00qrf6g60 ROR:https://ror.org/04x4znw66 INFN, Lecce Pierre Auger Observ. Paoletti, R ROR:https://ror.org/05symbg58 Siena U. INFN, Siena INFN, Pisa INFN, Sezione di Pisa, Italy Pellegrino, C INFN, CNAF Perasso, L ROR:https://ror.org/02v89pq06 ROR:https://ror.org/0107c5v14 INFN, Genoa Genoa U. Pinazza, O ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/043kfae87 ROR:https://ror.org/0192m2k53 ROR:https://ror.org/01ggx4157 INFN, Bologna Enrico Fermi Ctr., Rome INFN, Salerno Salerno U. CERN Museo Storico della Fisica e Centro Studi e Ricerche "E. Fermi", Roma, Italy Pinto, C ROR:https://ror.org/01ggx4157 CERN Pisano, S ROR:https://ror.org/043kfae87 ROR:https://ror.org/0192m2k53 ROR:https://ror.org/049jf1a25 Enrico Fermi Ctr., Rome INFN, Salerno Salerno U. Frascati INFN, Laboratori Nazionali di Frascati, Italy Quaglia, L ROR:https://ror.org/01vj6ck58 INFN, Turin Rasà, M ROR:https://ror.org/03a64bh57 ROR:https://ror.org/02pq29p90 ROR:https://ror.org/02wdzfm91 ROR:https://ror.org/043kfae87 ROR:https://ror.org/0192m2k53 Catania U. INFN, Catania Catania, CSFNSM Enrico Fermi Ctr., Rome INFN, Salerno Salerno U. INFN Sezione di Catania, Italy Riggi, F ROR:https://ror.org/03a64bh57 ROR:https://ror.org/02pq29p90 ROR:https://ror.org/02wdzfm91 ROR:https://ror.org/043kfae87 ROR:https://ror.org/0192m2k53 Catania U. INFN, Catania Catania, CSFNSM Enrico Fermi Ctr., Rome INFN, Salerno Salerno U. INFN Sezione di Catania, Italy Righini, G ROR:https://ror.org/04jr1s763 ROR:https://ror.org/02vv5y108 Florence U. INFN, Florence Ripoli, C ROR:https://ror.org/0192m2k53 ROR:https://ror.org/043kfae87 Salerno U. INFN, Salerno Enrico Fermi Ctr., Rome INFN Gruppo Collegato di Salerno, Napoli, Italy Rizzi, M ROR:https://ror.org/022hq6c49 INFN, Bari Sabiu, B ROR:https://ror.org/04j0x0h93 Unlisted, IT INFN, Bologna INFN Sezione di Bologna, Italy Sartorelli, G ROR:https://ror.org/04j0x0h93 Unlisted, IT INFN, Bologna INFN Sezione di Bologna, Italy Scapparone, E ROR:https://ror.org/04j0x0h93 INFN, Bologna Schioppa, M ROR:https://ror.org/02rc97e94 Calabria U. INFN, Cosenza INFN Gruppo Collegato di Cosenza, Rende (Cosenza), Italy Scioli, G ROR:https://ror.org/04j0x0h93 Unlisted, IT INFN, Bologna INFN Sezione di Bologna, Italy Scribano, A ROR:https://ror.org/05symbg58 Siena U. INFN, Siena INFN, Pisa INFN, Sezione di Pisa, Italy Selvi, M ROR:https://ror.org/04j0x0h93 INFN, Bologna Shtimermann, A INFN, CNAF Taiuti, M ROR:https://ror.org/0107c5v14 ROR:https://ror.org/02v89pq06 Genoa U. INFN, Genoa INFN, Sezione di Genova, Italy Trifirò, A ROR:https://ror.org/02pq29p90 ROR:https://ror.org/03a64bh57 ROR:https://ror.org/02wdzfm91 Messina U. INFN, Catania Catania U. Catania, CSFNSM INFN Sezione di Catania, Italy Trimarchi, M ROR:https://ror.org/02pq29p90 ROR:https://ror.org/03a64bh57 ROR:https://ror.org/02wdzfm91 Messina U. INFN, Catania Catania U. Catania, CSFNSM INFN Sezione di Catania, Italy Vistoli, C INFN, CNAF Votano, L ROR:https://ror.org/02s8k0k61 Gran Sasso Williams, M C S ROR:https://ror.org/01ggx4157 CERN World Lab., Geneva ICSC World Laboratory, Geneva, Switzerland Zichichi, A ROR:https://ror.org/043kfae87 ROR:https://ror.org/0192m2k53 ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/01ggx4157 Enrico Fermi Ctr., Rome INFN, Salerno Salerno U. Unlisted, IT INFN, Bologna CERN World Lab., Geneva Dipartimento di Fisica e Astronomia "A. Righi", Università di Bologna, Italy CERN, Geneva, Switzerland Zuyeuski, R ROR:https://ror.org/01ggx4157 World Lab., Geneva CERN CERN, Geneva, Switzerland EEE Collaboration 1347 C25-07-14.11 2025 PoS ICRC2025 2806646 6507301 http://cds.cern.ch/record/2952326/files/document.pdf Fulltext 13 2939569 geneva20250714 1347 ARTICLE ConferencePaper 2955381 SzGeCERN 20260226211748.0 oai:cds.cern.ch:2955381 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2602.20260 https://inspirehep.net/api/oai2d 2026-02-26T05:48:17Z marcxml oai:inspirehep.net:3123188 2026-02-26T04:06:45Z Inspire 3123188 arXiv:reportnumber KEK-QUP-2026-0001 arXiv arXiv:2602.20260 hep-ph eng Huang, Xiaofei ROR:https://ror.org/00wk2mp56 Beihang U. arXiv Earth Matter Enhanced Axion Dark Matter Search 2026 2026-02-23 19 p arXiv 19 pages, 10 figures arXiv Laboratory searches for ultralight axion dark matter (DM) have traditionally assumed the terrestrial density of axions is equal to the average density of DM in the solar system. However, quadratic couplings to matter introduce a non-trivial field profile near the Earth. In this work, we present the first dedicated experimental implementation of this environment-aware axion DM wind search framework. Leveraging the extreme sensitivity of a K--Rb--$^{21}$Ne comagnetometer to pseudo-magnetic fields induced by axion DM, we analyzed our data in the context of the massively enhanced local gradient of axions due to interactions with matter, though no signal candidates were found. Consequently, we have set the most stringent limits on axion-neutron derivative interactions for masses $m_a \in [0.041, ~28.9]~\rm feV$, improving from previous experiments that ignore terrestrial matter effects by as much as three orders of magnitude for certain masses. Our work highlights the necessity of accounting for environmental modifications in precision frontier experiments and demonstrates how geophysical variations can be harnessed to act as a natural amplifier for DM possibly enabling future detection in parts of the parameter space that were previously beyond reach. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ SzGeCERN Particle Physics - Phenomenology SzGeCERN Particle Physics - Experiment SzGeCERN Physics in General INSPIRE hep-ph INSPIRE hep-ex INSPIRE physics.atom-ph PREPRINT CERN Ma, Xiaolin ROR:https://ror.org/01g5y5k24 ROR:https://ror.org/00944ve71 QUP, Tsukuba KEK, Tsukuba Taiwan, Natl. Central U. Xu, Zitong Nanyang Technol. U. School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore, 639798, Singapore Bloch, Itay M ROR:https://ror.org/01ggx4157 ROR:https://ror.org/03qryx823 CERN Technion Physics Department, Technion -Israel Institute of Technology, Haifa 3200003, Israel Wei, Kai ROR:https://ror.org/00wk2mp56 ROR:https://ror.org/02egmk993 ROR:https://ror.org/04c4dkn09 Beihang U. Sci. Tech. U., Beijing USTC, Hefei Quantum Science and Technology College, Beihang University, Beijing 100191, China 2822833 13141575 http://cds.cern.ch/record/2955381/files/2602.20260.pdf Fulltext 2822834 36958 http://cds.cern.ch/record/2955381/files/ER2.png 00010 Sensitivity to nuclear spin coupled anomalous fields along $\hat{y}$. We obtain the sensitivity by spectral analysis of the time-domain signal and dividing it by the calibrated response factor at each frequency. The energy resolution, given by $\gamma_n B\hbar$, is $3.8\times 10^{-23} \mathrm{eV/\sqrt{Hz}}$ at 0.1\,Hz, corresponding to a sensitivity of 2.7 fT/$\sqrt{\rm Hz}$. 2822835 37963 http://cds.cern.ch/record/2955381/files/limit_scalingcn1.png 00005 The final limits and the corresponding Earth bounds shown in purple ($c_n=10$), brown ($c_n=50$), blue ($c_n=100$). The Earth bounds directly depends on decay constant $f_a$, thus scales linearly with $c_n$, while the experimental constraints scale as $c_n^{-3/2}$ in this regime. 2822836 3544101 http://cds.cern.ch/record/2955381/files/ExpSetup.png 00009 Basic operation of the experimental setup. The sphere cell contains K, Rb, $3$ amg $^{21}$Ne and $0.06$ amg N$_2$. A circularly polarized pump light polarizes the hybrid spin ensembles along $\hat{z}$. A probe light is used to measure the $\hat{x}$ projection of electron polarization, which is modulated by PEM and demodulated by lock-in amplifier. The ceramic oven is equipped with double-layer winding heating wires, in which the current is generated by an AC electric heater. Magnetic shields consist of a four-layer $\mu$-metal shield and a Ferrite inner layer shield the Earth's or laboratory magnetic field. The triaxial coil are used to ensure further compensation of remanence and manipulate that experienced by spins. PC: personal computer, LIA: lock-in amplifier, PBS: polarization beam splitter, GT: Glan-Taylor polarizer, PEM: photoelastic modulator, PD: photodetector. 2822837 2189696 http://cds.cern.ch/record/2955381/files/FigByandb.png 00008 Simulated responses to the anomalous field $b_y^n$ and classical magnetic field $B_y$ based on the dynamical model. (a) The response ratio within $\pm 200$ nT of the compensation point for frequencies from $10^{-3}$ to 1~Hz, with five representative frequency traces shown in (b). 2822838 3011188 http://cds.cern.ch/record/2955381/files/Rotation0115.png 00001 Comparison of responses to classical magnetic fields and non-magnetic inputs. (a) Simulated ratio between the comagnetometer responses to the anomalous field $b_y^n$ (i.e., axion DM field) and to the classical magnetic field $B_x$, showing relative enhanced sensitivity to low-frequency anomalous axion DM field at the compensation point. (b) Frequency-dependent response measured by physically rotating the sensor along the sensitive axis using a custom rotation platform near the compensation point. Deviating from the compensation point reduces the low-frequency response to rotations, while increasing the response to magnetic fields. (c) The compensation-point data from (b), shown separately for clarity. At 0.1 Hz, the equivalent magnetic response to rotation is approximately one order of magnitude larger than that to an applied magnetic field. The error bars denoting one standard deviation are too small to be visually resolved. The response to axion DM field from simulation is also shown and is nearly identical to the response to rotations, due to the (relative to magnetic fields) larger coupling of rotations to nuclear spins compared to electron-based spins. (d) As a demonstration of the accuracy of the sensor, a measurement is made with the sensitive axis reoriented to lie parallel to the ground (unlike in the DM search), and a rotation platform is used to rotate the sensitive axis within the horizontal plane. The measured data over one full revolution follows the sinusoidal projection of the Earth's rotation onto the sensitive axis. The error bars denote one standard deviation, but are too small to be visually resolved. 2822839 1580052 http://cds.cern.ch/record/2955381/files/figure1v4.png 00000 The Earth-effected axion DM and its detection principle. (a) Due to the quadratic coupling of axions and fermions, Earth's dense matter changes the effective mass of the axion inside it. For a generic quadratic coupling, the effect can be analogous to light traveling between two media with vastly different refractive indices. The presence of the Earth introduces a new small length scale with its radius, and at the surface of the Earth, the radial direction gradient of the axion field will be greatly enhanced, providing an excellent opportunity for a highly sensitive comagnetometer whose sensitive axis is pointing along the radial direction. Operating in the self-compensation regime, our coupled alkali-noble-gas comagnetometer is specifically configured with the sensitive axis perpendicular to the ground to benefit from the enhancement. For transverse magnetic-field noise, the noble-gas nuclear spins adiabatically follow the perturbation and generate an opposing effective field: it largely cancels the noise experienced by the alkali-metal spins, leaving their orientation nearly unchanged. In contrast, an axion-gradient-induced anomalous field couples primarily to the nuclear spins, driving transverse precession that is read out by the alkali-metal spins acting as an in-situ ultrahigh-sensitivity magnetometer. (b) Radial profiles of the axion field amplitude (blue) and gradient (green), normalized to their unenhanced values with angular dependence averaged. We choose a Compton frequency $m_a/2\pi = 1~\mathrm{Hz}$ and a decay constant $f_a = 10^{13.5}~\mathrm{GeV}$ (corresponding to the regime $k R_{\mathrm{E}} < q R_{\mathrm{E}} \lesssim \hbar$ for demonstration. The enhancement of the radial gradient at the surface scales approximately as $1/(k R_{\mathrm{E}})\times \left((f_a)^c/f_a\right)^2$(see the definition of $(f_a)^c$ in main text.), while the field amplitude remains nearly unchanged. (c) Spatial distribution of the axion gradient enhancement ratio for the same parameter. A pronounced enhancement of the gradient is visible near the Earth’s surface, while the effect rapidly attenuates both inside the Earth and far outside it. 2822840 11127 http://cds.cern.ch/record/2955381/files/fig2.png 00004 \textit{left panel}: The solid blue line is the global $p$-value $p_{\rm global}$ as a function of the $q_{\rm th}$ obtained from a null Monte Carlo test for axion mass region centered around $0.05~{\rm Hz}$, with the dashed orange line showing its fit. \textit{right panel}: The blue dots represent the Monte Carlo experiments of the corresponding particle frequency. The orange line shows the interpolating function for the $\alpha(\nu)$ using the blue dots. The notations and Monte Carlo method are adapted from ref.~\cite{Lee:2022vvb}. 2822841 1514560 http://cds.cern.ch/record/2955381/files/HybridPumping.png 00006 Comparison between single and hybrid Alkali pumping. (a) When only a single alkali species is present, the high atomic number density leads to strong absorption of the pump light along its propagation path. Although the polarization in the center of the cell reaches the optimal value of $\approx 0.5$, the polarization is high near the entrance and low near the exit, resulting in a pronounced polarization gradient. The associated gradient of the electron effective magnetic field reduces the nuclear-spin transverse relaxation time. (b) When a small amount of optically thin K is uniformly polarized by the pump light, rapid spin-exchange collisions subsequently produce a homogeneous polarization of Rb, thereby effectively reducing the electron polarization gradient. 2822842 13884 http://cds.cern.ch/record/2955381/files/fig1.png 00003 \textit{left panel}: The solid blue line is the global $p$-value $p_{\rm global}$ as a function of the $q_{\rm th}$ obtained from a null Monte Carlo test for axion mass region centered around $0.05~{\rm Hz}$, with the dashed orange line showing its fit. \textit{right panel}: The blue dots represent the Monte Carlo experiments of the corresponding particle frequency. The orange line shows the interpolating function for the $\alpha(\nu)$ using the blue dots. The notations and Monte Carlo method are adapted from ref.~\cite{Lee:2022vvb}. 2822843 167114 http://cds.cern.ch/record/2955381/files/finallimitsv15.png 00002 Constraints from the search on the axion-neutron coupling from the data, as well as future projections. The purple solid line show our $95\%$ C.L. exclusion limit of this experiment, with the averaged of the bound plotted in solid dark purple line calculated in a log space at binning resolution of 5\% of the mass. The purple dashed and dotted lines show the future projections and the sensitivity of the theoretically optimal comagnetometer, respectively. By aligning the sensitive axis radially, we maximize the coupling to the Earth-induced axion field gradient, achieving a significant sensitivity enhancement. Existing laboratory constraints on axion-neutron coupling, which ignored the enhanced gradient (light-yellow) include comagnetometers~\cite{Lee:2022vvb,Gavilan-Martin:2024nlo,Bloch:2019lcy}, ChangE~\cite{wei2025dark,xu2024constraining}, Mainz-Kraków~\cite{Gavilan-Martin:2024nlo}, with other constraints beyond the bounds of the plot and are not shown~\cite{Bloch:2021vnn,Bloch:2022kjm,Abel:2022vfg,Garcon:2019inh,Wu:2019exd}. The gray regions are from constraints placed directly on $f_a$ and arise from EDM measurements~\cite{Abel:2017rtm,Roussy:2020ily,JEDI:2022hxa}, atomic clocks~\cite{Madge:2024aot,Zhang:2022ewz} and the MICROSCOPE experiment~\cite{Gue:2025nxq} and are also relevant (see text for further discussion). The bounds on $f_a$ from similar type of experiments~\cite{Schulthess:2022pbp,Roussy:2020ily,Zhang:2022ewz,Fan:2024pxs} are not shown. The blue shaded region (``Earth Bound'') is excluded to prevent the Earth from sourcing an axion-field new minimum. Astrophysical bounds from white-dwarfs (cyan dashed)~\cite{Balkin:2022qer} and neutron-star cooling (green shaded)~\cite{Buschmann:2021juv,Springmann:2024mjp} are provided for context, however, these astrophysical bounds rely heavily on complex modeling of stellar equations of state; thus, they suffer from significant systematic uncertainties, emphasizing the importance of the more controlled terrestrial searches. Our results surpass previous laboratory limits by 2-3 orders of magnitude and probe the parameter space beyond the Earth-sourced bound. In this plot we set $c_n=10$ ($g_{an}= c_n/f_a$); see Fig.~\ref{fig:scalingcn} for other $c_n$ values. 2822844 259737 http://cds.cern.ch/record/2955381/files/FigureSC-principle.png 00007 Principle of nuclear self-compensation. (a) Circularly polarized pump light polarizes the electron spins, which subsequently polarize the nuclear spins in the same direction via spin-exchange interactions. The effective magnetic fields generated by both spin ensembles are opposite to their polarization direction. The compensation point is reached when the applied longitudinal magnetic field is equal in magnitude and opposite in direction to the combined effective magnetic fields. (b) When a low-frequency transverse magnetic perturbation is present, the effective magnetic field generated by the nuclear spins develops a transverse component that is equal in magnitude and opposite in direction, thereby suppressing the total magnetic field experienced by the electron spins; this constitutes nuclear-spin self-compensation. (c) When an anomalous field that couples only to the nuclear spins (e.g., the axion DM field) is present, the electron spins cannot directly sense the anomalous field itself. However, the Fermi-contact enhancement enables the electron spins to act as a highly sensitive in-situ magnetometer that detects the polarization changes induced in the nuclear spins. 11 PREPRINT 2955343 20260325042206.0 oai:cds.cern.ch:2955343 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN Inspire 3127260 arXiv:reportnumber CERN-PBC-Notes-2026-001 arXiv arXiv:2603.05558 physics.atom-ph eng Guinchard, M. CERN, Geneva, Switzerland Environmental Measurements in the Sedrun Access Shaft to the Gotthard Base Tunnel - a Promising Site for a Long-Baseline Atom Interferometer 2026 CERN Geneva 2026-02-24 arXiv V2: affiliation update Atom interferometer (AI) experiments offer interesting prospects for searches for the interactions of ultralight bosonic dark matter with Standard Model particles as well as detection of gravitational waves in a frequency band inaccessible to experiments that are operating or under construction. Ideal locations for the next generation of such experiments are provided by long vertical shafts, such as that providing access to the Gotthard base railway tunnel from the Sedrun locality in the Canton Grisons of Switzerland. We present the results of an exploratory environmental measurement campaign at this location to evaluate the ground motion activity and the background electromagnetic field quality. We find that the backgrounds due to both ground motion and electromagnetic fields, including those due to passing trains, are low enough for successful operation of a 800-m AI experiment. arXiv Atom interferometer (AI) experiments offer interesting prospects for searches for the interactions of ultralight bosonic dark matter with Standard Model particles as well as detection of gravitational waves in a frequency band inaccessible to experiments that are operating or under construction. Ideal locations for the next generation of such experiments are provided by long vertical shafts, such as that providing access to the Gotthard base railway tunnel from the Sedrun locality in the Canton Grisons of Switzerland. We present the results of an exploratory environmental measurement campaign at this location to evaluate the ground motion activity and the background electromagnetic field quality. We find that the backgrounds due to both ground motion and electromagnetic fields, including those due to passing trains, are low enough for successful operation of a 800-m AI experiment. preprint arXiv nonexclusive-distrib 1.0 http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Comments submitted after 04-03-2026 11:32 CERN Invenio WebSubmit GENSBM 1 SzGeCERN Accelerators and Storage Rings CERN Technology Physics Beyond Colliders Buchmüller, O. Imperial College London, United Kingdom University of Oxford, United Kingdom Calatroni, S. CERN, Geneva, Switzerland Ellis, J. CERN, Geneva, Switzerland King's College London, United Kingdom Hoell, S. CERN, Geneva, Switzerland Jaussi, M. CERN, Geneva, Switzerland Lombriser, L. University of Applied Sciences of the Grisons, Switzerland University of Geneva, Switzerland Pentella, M. CERN, Geneva, Switzerland Thuliez, D. FOSELEV Suisse, Switzerland Valuch, D. CERN, Geneva, Switzerland 2823560 39799156 http://cds.cern.ch/record/2955343/files/PBC_Report_Environmental_Measurement_Results_in_the_MFS_of_the_Gotthard_Base_Tunnel_at_Sedrun.pdf 2823560 72666 http://cds.cern.ch/record/2955343/files/PBC_Report_Environmental_Measurement_Results_in_the_MFS_of_the_Gotthard_Base_Tunnel_at_Sedrun.gif?subformat=icon icon 2823560 75806 http://cds.cern.ch/record/2955343/files/PBC_Report_Environmental_Measurement_Results_in_the_MFS_of_the_Gotthard_Base_Tunnel_at_Sedrun.jpg?subformat=icon-180 icon-180 2824342 280586 http://cds.cern.ch/record/2955343/files/bottom_PSD_elevator_sigma.png 00030 PSD distributions of all 34 datasets recorded at the BOTTOM station while the MFS elevator was being operated. 2824343 142812 http://cds.cern.ch/record/2955343/files/top_00002_time.png 00024 The magnetic field background with the elevator passing through the shaft: the B-field as a function of time. The peaks indicate the elevator passage (up or down). 2824344 3804386 http://cds.cern.ch/record/2955343/files/lift_measurement.png 00011 : 2824345 1040322 http://cds.cern.ch/record/2955343/files/top_00009_spectrogram_log.png 00038 Magnetic field background with technical services operated: spectrogram. 2824346 156026 http://cds.cern.ch/record/2955343/files/bottom_00014_time.png 00029 Perturbations of the magnetic field at the BOTTOM station when the elevator is stationary there. 2824347 564690 http://cds.cern.ch/record/2955343/files/bottom_00192_spectrogram_log.png 00026 Heavy traffic example - spectrogram. 2824348 251488 http://cds.cern.ch/record/2955343/files/top_quiet_PSD_sigma.png 00022 Distribution of PSDs of all 101 "quiet" datasets recorded at the TOP station. 2824349 513701 http://cds.cern.ch/record/2955343/files/Elevator_Mag3ax.png 00032 The x,y and z components of the static magnetic field along the elevator shaft. 2824350 269048 http://cds.cern.ch/record/2955343/files/bottom_00193_PSD.png 00048 No traffic example - PSD. 2824351 4821909 http://cds.cern.ch/record/2955343/files/MRF_Equipment_Top.png 00006 Equipment installed at the top of the lift shaft. 2824352 131435 http://cds.cern.ch/record/2955343/files/BigFig1.png 00002 Space-time diagram of a pair of cold-atom interferometers based on single-photon transitions between the ground state (blue) and the excited state (red dashed). Height is shown on the vertical axis and the time axis is horizontal. The laser pulses (wavy lines) travelling across the baseline from opposite ends divide, redirect, and recombine the atomic de Broglie waves, yielding interference patterns that are sensitive to the modulation of the atomic transition frequency caused by coupling to ULDM, or the space-time distortions caused by GWs. 2824353 3477436 http://cds.cern.ch/record/2955343/files/underground_general.png 00009 : 2824354 38415134 http://cds.cern.ch/record/2955343/files/2603.05558.pdf Fulltext 2824355 432553 http://cds.cern.ch/record/2955343/files/bottom_00193_spectrogram_log.png 00027 No traffic example - spectrogram. 2824356 305097 http://cds.cern.ch/record/2955343/files/top_00002_PSD.png 00043 The magnetic field background with the elevator passing through the shaft: the corresponding PSDs. Record length 20000 seconds. 2824357 334210 http://cds.cern.ch/record/2955343/files/bottom_PSD_quiet_min_max.png 00049 Minimum, mean and maximum PSDs of all 165 "quiet" datasets measured at the BOTTOM station. 2824358 3199686 http://cds.cern.ch/record/2955343/files/surface_detail.png 00008 : : The electromagnetic field measurement station at the top of the elevator shaft: (a) general view, (b) detail of instruments: 1) 3-axis loop antenna, 2) fluxgate magnetometer, 3) oscilloscope, 4) cellular modem, 5) GSM antennas, 6) seismic measurement equipment. 2824359 352156 http://cds.cern.ch/record/2955343/files/bottom_PSD_elevator_min_max.png 00050 Minimum, mean and maximum PSDs of all 34 datasets recorded at the BOTTOM station while the MFSelevator was being operated. 2824360 258461 http://cds.cern.ch/record/2955343/files/Gotthard.png 00000 Sketch of a North-South section through the Swiss Alps, illustrating the twin-bore Gotthard Base Tunnel together with its access tunnels and shafts. Adapted from~\cite{Cooper:2005}. 2824361 153186 http://cds.cern.ch/record/2955343/files/top_00009_time.png 00037 Magnetic field background with technical services operated: B-field as a function of time. The equipment was turned on shortly after 00:15. 2824362 310447 http://cds.cern.ch/record/2955343/files/top_quiet_PSD_min_max.png 00036 Minimum, mean and maximum PSD of all 101 "quiet" datasets recorded at the TOP station. 2824363 109349 http://cds.cern.ch/record/2955343/files/Worst-events_ALL_ALL.png 00018 The strongest event compared in velocity amplitude to the mode curves of the long-term analysis, the NLNM and the NHNM for the data displayed in Figure~\ref{fig:seismic-results_6-1b_vel-over-time}. 2824364 12631922 http://cds.cern.ch/record/2955343/files/underground_detail.png 00010 : : The electromagnetic field measurement station at the bottom of the elevator shaft: (a) general view, (b) detail of instruments: 1) 3-axis loop antenna, 2) fluxgate magnetometer, 3) oscilloscope, 4) cellular modem, 5) GSM antennas, 6) seismic measurement equipment. 2824365 274363 http://cds.cern.ch/record/2955343/files/bottom_PSD_quiet_sigma.png 00028 PSD distributions of all 165 "quiet" datasets measured at the BOTTOM station. 2824366 1385106 http://cds.cern.ch/record/2955343/files/top_00009_spectrogram_log_detail.png 00039 Expanded detail of low frequencies. 2824367 2886872 http://cds.cern.ch/record/2955343/files/lift_probe.png 00012 : : The low-frequency magnetic field measurement along the elevator shaft: (a) measurement station, (b) detail of the magnetic field probe location. 2824368 2447123 http://cds.cern.ch/record/2955343/files/Velocity-PPSD_ALL_SINGLE.png 00013 The PPSDs in velocity for each station and direction. 2824369 148564 http://cds.cern.ch/record/2955343/files/bottom_00192_time.png 00045 Heavy traffic example - time domain measurement. 2824370 291957 http://cds.cern.ch/record/2955343/files/top_00009_PSD.png 00040 The PSDs of the magnetic field background with technical services operated. Record length 20000 seconds. 2824371 335017 http://cds.cern.ch/record/2955343/files/top_PSD_elevator_min_max.png 00044 The minimum, mean and maximum PSDs of all 22 datasets recorded at the TOP station with the elevator being operated. 2824372 758274 http://cds.cern.ch/record/2955343/files/top_00002_spectrogram_log.png 00042 The magnetic field background with the elevator passing through the shaft: spectrogram. 2824373 36297 http://cds.cern.ch/record/2955343/files/vertical_dispalcement_surface_maxmin.png 00004 The RMS spectral density of surface vertical displacement measurements at CERN~\cite{Arduini:2023wce}, compared with the New High and Low Noise Models (NHNM and NLNM)~\cite{peterson1993observations}. The shaded band corresponds to the difference between the minimum and maximum daily measurements. 2824374 49991 http://cds.cern.ch/record/2955343/files/AIONSchem_2sources.png 00003 Conceptual scheme of an Atom Interferometer (AI) experiment with two atom sources that project clouds vertically and are manipulated by a single laser beam (this diagram is not to scale)~\cite{Buchmueller:2023nll}. 2824375 554424 http://cds.cern.ch/record/2955343/files/Sedrun-5.png 00001 Diagram of the Sedrun Multi-Function Site (MFS) of the Gotthard Base Tunnel, illustrating the horizontal access gallery and the two vertical access shafts~\cite{FABBRI2019379}. 2824376 288339 http://cds.cern.ch/record/2955343/files/top_PSD_services_sigma.png 00023 The PSD distributions of all 11 datasets with technical services operated recorded at the TOP station. 2824377 266292 http://cds.cern.ch/record/2955343/files/top_00008_PSD.png 00035 Typical magnetic field background in a "quiet" scenario: the corresponding PSD, record length 20000 seconds. 2824378 339120 http://cds.cern.ch/record/2955343/files/top_PSD_services_min_max.png 00041 The minimum, mean and maximum PSDs of all 11 datasets with technical services operated recorded at the TOP station. 2824379 73798 http://cds.cern.ch/record/2955343/files/Acceleration-ASD_ALL_MODE.png 00014 Acceleration Spectral Density mode curves at the TOP and BOTTOM stations compared to the NHNM and NLNM and to the AION-100 requirement. 2824380 854041 http://cds.cern.ch/record/2955343/files/top_00008_spectrogram_log.png 00034 Typical magnetic field background in a "quiet" scenario: spectrogram. 2824381 273026 http://cds.cern.ch/record/2955343/files/bottom_00192_PSD.png 00046 Heavy traffic example - PSD. 2824382 5214970 http://cds.cern.ch/record/2955343/files/accASD_over_time.png 00017 Spectrograms of the acceleration amplitudes for the data displayed in Figure~\ref{fig:seismic-results_6-1b_vel-over-time}. 2824383 4438780 http://cds.cern.ch/record/2955343/files/ASD-time_ALL_ALL.png 00020 Spectrograms in acceleration amplitude for the data displayed in Figure~\ref{fig:seismic-results_6-1c_vel-over-time}. 2824384 630450 http://cds.cern.ch/record/2955343/files/Elevator_MagB.png 00031 The static magnetic field along the elevator shaft. 2824385 134001 http://cds.cern.ch/record/2955343/files/bottom_00193_time.png 00047 No traffic example - time domain measurement. 2824386 112731 http://cds.cern.ch/record/2955343/files/w21_Worst-events_ALL_ALL.png 00021 The highest integral-power in acceleration amplitude for the data displayed in Figure~\ref{fig:seismic-results_6-1c_vel-over-time} compared to the mode curves of the long-term analysis, the NLNM and the NHNM. 2824387 53075 http://cds.cern.ch/record/2955343/files/Velocity_over_time_single.png 00016 Velocity over time for both stations in all directions, recorded on the 20/06/2025 in the morning between 8h and 9h (CEST). The passages of five trains (see Table~\ref{tab:seismic_train-impact}) are indicated. 2824388 98625 http://cds.cern.ch/record/2955343/files/Acceleration-ASD_COMPARISON_MODE.png 00015 The acceleration ASD compared to other sites. 2824389 139017 http://cds.cern.ch/record/2955343/files/top_00008_time.png 00033 Typical magnetic field background in a "quiet" scenario: the B-field as a function of time. 2824390 5882894 http://cds.cern.ch/record/2955343/files/surface_general.png 00007 : 2824391 269704 http://cds.cern.ch/record/2955343/files/top_PSD_elevator_sigma.png 00025 The PSD distributions of all 22 datasets recorded at the TOP station with the MFS elevator being operated. 2824392 942986 http://cds.cern.ch/record/2955343/files/Porta-Alpina_Orientation.png 00005 Orientation of the sensors in the infrastructure 2824393 452767 http://cds.cern.ch/record/2955343/files/w19_Velocity_over_time_single.png 00019 Velocity over time for both stations in all directions recorded on the 30/06/2025 in the morning between 0h and 6h (CEST). sergio.calatroni@cern.ch n 202609 NOTE PREPRINT 2957451 SzGeCERN 20260325145449.0 DOI IOP 10.1088/1748-0221/21/03/C03029 oai:cds.cern.ch:2957451 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:3131888 2026-03-23T16:16:31Z 2026-03-24T06:01:01Z marcxml Inspire 3131888 eng Toms, M ORCID:0000-0002-7703-3973 KIT, Karlsruhe IOP Detector control systems and monitoring of the High Granularity Calorimeter for the upgrade of CMS 2026 10 p IOP The CMS experiment at the LHC is building a new High-Granularity Calorimeter (HGCAL), based on siliconsensors and scintillator tiles read out by SiPMs, as part of the CMS detector Phase-2 upgrade. Siliconmodules and SiPM-on-tile boards are integrated into cassettes prior to their insertion into the endcapstructure. After assembly, the cassettes must be tested under cold conditions using cosmic muons. Coldoperation of the cassettes inside specially designed cold boxes requires fully functional Detector ControlSystems (DCS) and Subdetector Environmental Protection (SEP) systems. The objective is to provideoperators with a convenient and reliable way to control and monitor a large number of hardwarecomponents, both inside and outside the cold box, while ensuring the safety of personnel and detectorequipment. The experience gained from the development and practical operation of such systems at theCassette Assembly Facility (CAF) at CERN will inform the design of control and protection systems for thefinal HGCAL detector at CMS. This paper presents the design of the control and protection systems for theHGCAL CAF at CERN, along with progress on their development, testing, and operation. publication CC-BY-4.0 IOP http://creativecommons.org/licenses/by/4.0/ publication The Author(s) 2026 For annual report SzGeCERN Particle Physics - Experiment SzGeCERN Detectors and Experimental Techniques author Calorimeters author Detector control systems (detector and experiment monitoring and slow-control systems author architecture author hardware author algorithms author databases) ARTICLE CERN CERN LHC CMS Klute, M KIT, Karlsruhe Taysi, C Yildiz Tech. U. Yaz, K Turkish-German U. Kolcu, O B Istinye U., Istanbul Simsek, E Bogazici U. Yildiz Tech. U. Yildiz Technical University, Davutpaşa Mah. Davutpaşa Caddesi 34220, Esenler/İstanbul, Türkiye Iren, E Mimar Sinan U. Parmar, N Rochester U. Cokic, L CERN Tsirou, A Athens U. CMS Collaboration C03029 03 JINST 21 C25-09-15.8 2026 2829966 5726350 http://cds.cern.ch/record/2957451/files/document.pdf Fulltext 13 2941889 C03029 siena20250915 ARTICLE ConferencePaper 2957449 SzGeCERN 20260324201828.0 DOI Springer 10.1007/s41781-026-00159-6 oai:cds.cern.ch:2957449 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN https://inspirehep.net/api/oai2d 2026-03-24T06:01:00Z marcxml oai:inspirehep.net:3131976 2026-03-23T11:14:47Z Inspire 3131976 eng Gutleber, Johannes ORCID:0009-0003-2462-4504 Johannes.Gutleber@cern.ch GRID:grid.9132.9 ROR:https://ror.org/01ggx4157 CERN Springer Future Circular Collider Territorial Implementation 2026 33 p Springer The Future Circular Collider (FCC) is a staged science programme that addresses major open questions in particle physics through two complementary facilities: an electron–positron collider (FCC-ee) followed by a hadron collider (FCC-hh), both housed in a common 91-km quasi-circular tunnel. This phased approach supports a global scientific community over several decades, spreads investments over time, and enhances financial, environmental, and societal sustainability through iterative optimisation. A distinguishing feature of the FCC programme is the development of a geolocalised territorial implementation scenario based on environmental, societal and economic criteria. The reference scenario builds on CERN’s existing organisation and assets and its relationships with its host states, France and Switzerland. It leverages existing regional infrastructures. Preparatory studies between 2018 and 2025 have provided data to inform global science strategy decision-making, offering planning security essential for international commitment. The methodology follows an iterative improvement process aligned with the legally required “Avoid–Reduce–Compensate” framework, aiming for socio-economic and environmental net-positive performance. Subsurface modelling and field investigations of about 600 ha have informed the development of the reference scenario. Dialogue with public authorities and early engagement with local communities have supported the identification of constraints, opportunities and synergies. Preparations for the formal public consultation process have begun in France in 2025, with a voluntary equivalent underway in Switzerland. With these anticipated studies completed, the FCC programme is ready to enter a preparatory phase leading towards construction authorisation within the coming decade, supported by demonstrated technical feasibility, environmental compatibility, and positive socio-economic impacts. publication CC-BY-NC-ND-4.0 Springer http://creativecommons.org/licenses/by-nc-nd/4.0/ The Author(s) publication 2026 SzGeCERN Computing and Computers author Research infrastructures author Project implementation preparation author Particle accelerators author Particle physics ARTICLE CERN Boillon, Pierre Pierre.Boillon@cerema.fr GRID:grid.432932.d LTCI, Paris 6 1 2026 Comput. Softw. Big Sci. 10 2829964 2803620 http://cds.cern.ch/record/2957449/files/document.pdf Fulltext 13 ARTICLE 2957417 20260409115440.0 oai:cds.cern.ch:2957417 cerncds:FULLTEXT cerncds:REPORT 10.17181/CERN.9RP4.SKIX DOI CERN-ESU-2026-009 Tommaso Boccali INFN Sezione di Pisa, Italy Jim Clarke STFC Daresbury Laboratory, Warrington, UK Jens Jørgen Gaardhøje Niels Bohr Institute, University of Copenhagen Tadeusz Lesiak The Henryk Niewodniczan´ski Institute of Nuclear Physics, Polish Academy of Sciences, Kraków Panos Razis University of Cyprus Heidi Sandaker University of Oslo Dezső Varga HUN-REN Wigner Research Centre for Physics Report by ESG Working Group 5: Sustainability and Environmental Impact Geneva 2026 This report summarises the outcome of the discussions of WG5 of the European Strategy Group (ESG). CERN 2832937 505496 http://cds.cern.ch/record/2957417/files/Report by ESG Working Group 5: Sustainability and Environmental Impact.pdf 2832937 202656 http://cds.cern.ch/record/2957417/files/Report by ESG Working Group 5: Sustainability and Environmental Impact.jpg?subformat=icon-1440 icon-1440 2832937 202656 http://cds.cern.ch/record/2957417/files/Report by ESG Working Group 5: Sustainability and Environmental Impact.jpg?subformat=icon-640 icon-640 2832937 202656 http://cds.cern.ch/record/2957417/files/Report by ESG Working Group 5: Sustainability and Environmental Impact.jpg?subformat=icon-700 icon-700 2832937 75398 http://cds.cern.ch/record/2957417/files/Report by ESG Working Group 5: Sustainability and Environmental Impact.gif?subformat=icon icon 2832937 77606 http://cds.cern.ch/record/2957417/files/Report by ESG Working Group 5: Sustainability and Environmental Impact.jpg?subformat=icon-180 icon-180 REPORT 2956783 SzGeCERN 20260318111756.0 DOI IEEE 10.1109/ICCMA67641.2025.11369627 oai:cds.cern.ch:2956783 cerncds:CERN https://inspirehep.net/api/oai2d oai:inspirehep.net:3120947 2026-03-13T15:05:24Z 2026-03-15T05:00:09Z marcxml Inspire 3120947 eng D’Ago, Giancarlo ROR:https://ror.org/01ggx4157 ROR:https://ror.org/05290cv24 CERN U. Naples (main) Department of Electrical Engineering and Information Technology, PRISMA Lab, University of Naples Federico II, Naples, Italy IEEE Active Sway Damping for Cable-Suspended Robotic Systems with CERN Human Robot Interface Integration 2025 6 p IEEE This paper presents a novel Human-Robot Interface integrated control strategy for suppressing oscillations in cable-suspended robotic systems, specifically the CRANEBot at CERN. The approach leverages the robot’s arms to actively dampen oscillations through energy dissipation at each cycle, eliminating the need for modifications to the suspension platform. Experimental results demonstrate the effectiveness of the proposed method in reducing settling times and enhancing operational stability, showcasing its potential for applications in complex and hazardous environments. publication IEEE 2025 For annual report author Damping author CERN author Mechatronics author Energy dissipation author Manipulators author Shock absorbers author Safety author Oscillators author Centralized control author Predictive control author Human-robot Interface author Environmental Hazards author Complex Applications author Need For Modification author Oscillatory Systems author Direction Of Change author Energy Transfer author Phase Shift author Hyperbolic Tangent author Energy Exchange author State Machine author Power Transfer author Inertial Measurement Unit author Model Predictive Control author Robotic Arm author Work Rate author Uncontrolled Case author Home Position author Cable-suspended robots author Sway Damping author Human-Robot Interface author Robotic Telemanipulation ARTICLE CERN Rodriguez-Nogueira, Jose ROR:https://ror.org/01ggx4157 ROR:https://ror.org/03n6nwv02 CERN Tech. U. Madrid (main) Centro de Automatica y Robotica (CAR) UPM-CSIC, Universidad Politécnica de Madrid, Madrid, Spain Matheson, Eloise ROR:https://ror.org/01ggx4157 CERN Ruggiero, Fabio ROR:https://ror.org/05290cv24 U. Naples (main) Ferre, Manuel ROR:https://ror.org/03n6nwv02 Tech. U. Madrid (main) Castro, Mario Di ROR:https://ror.org/01ggx4157 CERN 76-81 IEEE ICCMA2025 2025 13 2956984 76-81 paris20251124 ARTICLE ConferencePaper 2956360 20260418042205.0 oai:cds.cern.ch:2956360 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:2603.02836 oai:inspirehep.net:3125312 https://inspirehep.net/api/oai2d Inspire 2026-04-17T08:18:32Z 2026-04-18T02:00:10Z marcxml true Inspire 3125312 arXiv arXiv:2603.02836 hep-ex eng Aguilar, J. ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain arXiv Complementarity between atmospheric and super-beam neutrinos at ESSnuSB 2026-03-03 14 p arXiv 14 pages, 7 figures, 2 tables arXiv The ESSnuSB experiment aims to measure the leptonic CP phase $δ_{CP}$ with an unprecedented resolution by probing neutrino oscillations at the second oscillation maximum. In the present work, the complementarity between the long-baseline neutrino program and atmospheric neutrinos is investigated for ESSnuSB. By simulating atmospheric neutrino events equivalent of 5.4 Mt$\cdot$year exposure, the resolution for $δ_{\rm CP}^{}$ is found to improve from $7.5^\circ$ ($6.7^\circ$) to $7.1^\circ$ ($6.5^\circ$) at $1σ$~CL for $δ_{\rm CP}^{} = -90^\circ$ ($+90^\circ$) with respect to super-beam neutrinos, resolving also the degeneracies arising from neutrino mass ordering. These findings highlight the synergies that exist between super-beam neutrinos and atmospheric neutrinos in ESSnuSB. preprint CC BY 4.0 http://creativecommons.org/licenses/by/4.0/ arXiv WARNING: Colon in authors before J. Aguilar : Check author list for collaboration names! hep-ph arXiv Particle Physics - Phenomenology SzGeCERN hep-ex arXiv Particle Physics - Experiment SzGeCERN CERN PREPRINT ESSnuSB Anastasopoulos, M. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Barcot, D. Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Baussan, E. Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Bhattacharyya, A.K. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Bignami, A. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Blennow, M. Royal Inst. Tech., Stockholm Stockholm U., OKC Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Bogomilov, M. Sofiya U. Sofia University St. Kliment Ohridski, Faculty of Physics, 1164 Sofia, Bulgaria Bolling, B. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Bouquerel, E. Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Bramati, F. INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Branca, A. INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Brunetti, G. INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Bustinduy, I. ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain Carlile, C.J. Lund U. Department of Physics, Lund University, P.O Box 118, 221 00 Lund, Sweden Cederkall, J. Lund U. Department of Physics, Lund University, P.O Box 118, 221 00 Lund, Sweden Choi, T.W. Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Choubey, S. Royal Inst. Tech., Stockholm Stockholm U., OKC Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Christiansen, P. Lund U. Department of Physics, Lund University, P.O Box 118, 221 00 Lund, Sweden Collins, M. Lund U. ESS, Lund Faculty of Engineering, Lund University, P.O Box 118, 221 00 Lund, Sweden European Spallation Source, Box 176, SE-221 00 Lund, Sweden Morales, E. Cristaldo INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Cupiał, P. AGH-UST, Cracow AGH University of Krakow, al. A. Mickiewicza 30, 30-059 Krakow, Poland D'Ago, D. INFN, Padua INFN Sez. di Padova, Padova, Italy Danared, H. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden de André, J.P.A.M. Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Dracos, M. Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Efthymiopoulos, I. CERN CERN, 1211 Geneva 23, Switzerland Ekelöf, T. Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Eshraqi, M. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Fanourakis, G. Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Farricker, A. Cockcroft Inst. Accel. Sci. Tech. Cockroft Institute (A36), Liverpool University, Warrington WA4 4AD, UK Fasoula, E. Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Fukuda, T. Nagoya U., IAR Institute for Advanced Research, Nagoya University, Nagoya 464-8601, Japan Gazis, N. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Geralis, Th. Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Ghosh, M. Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Giarnetti, A. Rome III U. Dipartimento di Matematica e Fisica, Universitá di Roma Tre, Via della Vasca Navale 84, 00146 Rome, Italy Gokbulut, G. Cukurova U. Gent U. University of Cukurova, Faculty of Science and Letters, Department of Physics, 01330 Adana, Turkey Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Hagner, C. U. Hamburg (main) Institute for Experimental Physics, Hamburg University, 22761 Hamburg, Germany Halić, L. Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Hooft, M. Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Iversen, K.E. Lund U. Department of Physics, Lund University, P.O Box 118, 221 00 Lund, Sweden Jachowicz, N. Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Jenssen, M. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Johansson, R. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Kasimi, E. Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Kayis Topaksu, A. Cukurova U. University of Cukurova, Faculty of Science and Letters, Department of Physics, 01330 Adana, Turkey Kildetoft, B. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Kordas, K. Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Kovac, B. Boskovic Inst., Zagreb Center of Excellence for Advanced Materials and Sensing Devices, Ruđer Bošković Institute, 10000 Zagreb, Croatia Leisos, A. Hellenic Open U., Patras Physics Laboratory, School of Science and Technology, Hellenic Open University, 26335, Patras, Greece Longhin, A. Padua U. INFN, Padua Department of Physics and Astronomy "G. Galilei", University of Padova and INFN Sezione di Padova, Italy Maiano, C. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Marangoni, S. INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Marcos, J.G. Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Marrelli, C. CERN CERN, 1211 Geneva 23, Switzerland Meloni, D. Rome III U. Dipartimento di Matematica e Fisica, Universitá di Roma Tre, Via della Vasca Navale 84, 00146 Rome, Italy Mezzetto, M. INFN, Padua INFN Sez. di Padova, Padova, Italy Milas, N. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Moolya, R. U. Hamburg (main) Institute for Experimental Physics, Hamburg University, 22761 Hamburg, Germany Muñoz, J.L. ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain Niewczas, K. Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Oglakci, M. Cukurova U. University of Cukurova, Faculty of Science and Letters, Department of Physics, 01330 Adana, Turkey Ohlsson, T. Royal Inst. Tech., Stockholm Stockholm U., OKC Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Olvegård, M. Uppsala U. Department of Physics and Astronomy, FREIA Division, Uppsala University, P.O. Box 516, 751 20 Uppsala, Sweden Pari, M. Padua U. INFN, Padua Department of Physics and Astronomy "G. Galilei", University of Padova and INFN Sezione di Padova, Italy Patrzalek, D. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Petkov, G. Sofiya U. Sofia University St. Kliment Ohridski, Faculty of Physics, 1164 Sofia, Bulgaria Petridou, Ch. Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Poussot, P. Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Psallidas, A. Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Pupilli, F. INFN, Padua INFN Sez. di Padova, Padova, Italy Saiang, D. Lulea U. Technol. (main) Department of Civil, Environmental and Natural Resources Engineering Luleå University of Technology, SE-971 87 Lulea, Sweden Sampsonidis, D. Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Scanu, A. INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Schwab, C. Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Sordo, F. ESS, Bilbao Consorcio ESS-bilbao, Parque Científico y Tecnológico de Bizkaia, Laida Bidea, Edificio 207-B, 48160 Derio, Bizkaia, Spain Stavropoulos, G. Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece Tarkeshian, R. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Terranova, F. INFN, Milan Bicocca Milan Bicocca U. (main) University of Milano-Bicocca and INFN Sez. di Milano-Bicocca, 20126 Milano, Italy Tolba, T. U. Hamburg (main) Institute for Experimental Physics, Hamburg University, 22761 Hamburg, Germany Topp-Mugglestone, M. CERN CERN, 1211 Geneva 23, Switzerland Trachanas, E. ESS, Lund European Spallation Source, Box 176, SE-221 00 Lund, Sweden Tsenov, R. Sofiya U. Sofia University St. Kliment Ohridski, Faculty of Physics, 1164 Sofia, Bulgaria Tsirigotis, A. Hellenic Open U., Patras Physics Laboratory, School of Science and Technology, Hellenic Open University, 26335, Patras, Greece Tzamarias, S.E. Aristotle U., Thessaloniki Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece Vanderpoorten, M. Gent U. Department of Physics and Astronomy, Ghent University, Proeftuinstraat 86, B-9000 Ghent, Belgium Vankova-Kirilova, G. Sofiya U. Sofia University St. Kliment Ohridski, Faculty of Physics, 1164 Sofia, Bulgaria Vassilopoulos, N. Beijing, Inst. High Energy Phys. Institute of High Energy Physics (IHEP) Dongguan Campus, Chinese Academy of Sciences (CAS), Guangdong 523803, China Vihonen, S. Royal Inst. Tech., Stockholm Stockholm U., OKC Department of Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Roslagstullsbacken 21, 106 91 Stockholm, Sweden The Oskar Klein Centre, AlbaNova University Center, Roslagstullsbacken 21, 106 91 Stockholm, Sweden Wurtz, J. Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Zeter, V. Strasbourg, IPHC IPHC, Université de Strasbourg, CNRS/IN2P3, Strasbourg, France Zormpa, O. Democritos Nucl. Res. Ctr. Institute of Nuclear and Particle Physics, NCSR Demokritos, Neapoleos 27, 15341 Agia Paraskevi, Greece ESSnuSB Collaboration 2824687 25654 http://cds.cern.ch/record/2956360/files/Figure_5.png 00004 Effect of neutrino zenith angle resolution on the precisions at which $\sin^2_{} \theta_{23}^{}$ (left panel) and $|\Delta m_{31}^2|$ (right panel) could be measured by analyzing atmospheric neutrino data for ESSnuSB FD (2 dof). The neutrino zenith angle resolution is varied for the MC events in the sub-GeV neutrino energy bins. The results are indicated by the blue rectangles, which have been fitted with cubic splines. The true neutrino mass ordering is assumed to be NO. 2824688 36217 http://cds.cern.ch/record/2956360/files/Figure_4.png 00003 Allowed values for $\sin_{}^{2}\theta_{23}^{}$ and $\Delta m_{31}^2$ (left panel) and for $\sin_{}^{2}\theta_{23}^{}$ and $\delta_{\rm CP}^{}$ (right panel) by analyzing data for atmospheric neutrinos (blue regions) and super-beam neutrinos (yellow regions) at ESSnuSB FD (2 dof). The allowed values are shown at $2\sigma$~CL (darker colors) and $3\sigma$~CL (lighter colors), while the true values for $\sin_{}^{2} \theta_{23}^{}$ and $\Delta m_{31}^2$ are indicated by the black stars. The true neutrino mass ordering is assumed to be NO. Note that no priors are used for $\sin_{}^2 \theta_{23}^{}, \Delta m_{31}^2$ or $\delta_{\rm CP}^{}$. 2824689 19817 http://cds.cern.ch/record/2956360/files/Figure_7.png 00006 Resolution to measure the leptonic CP phase $\delta_{CP}$ at ESSnuSB. $\Delta \delta_{\rm CP}^{}$ indicates the $1\sigma$~CL resolution at which $\delta_{\rm CP}^{}$ can be measured at ESSnuSB with super-beam neutrinos (black solid curve) and with a combined analysis of super-beam neutrinos and atmospheric neutrinos (blue dashed curve) observed by ESSnuSB FD. The resolution for measuring $\delta_{\rm CP}^{}$ is shown as a function of true values for $\delta_{\rm CP}^{}$. The true neutrino mass ordering is assumed to be NO. The result is the same regardless of whether or not mass ordering is known prior to the measurement. 2824690 35057 http://cds.cern.ch/record/2956360/files/Figure_6.png 00005 CPV discovery potential in ESSnuSB. The sensitivity to establish CPV is quantified by $\sqrt{\Delta\chi_{}^2}$, which gives the number of standard deviations at which the CP-conserving solution $\sin \delta_{\rm CP}^{} = 0$ can be ruled out for the indicated true value. The sensitivities are shown for the super-beam neutrinos (black dot-dashed curve) and for the combined analysis of super-beam and atmospheric neutrino data (blue dashed curve), assuming that mass ordering is not known. Additionally, the sensitivity is shown for the super-beam data when mass ordering is already known (black solid curve). In all three cases, the true mass ordering is assumed to be NO. 2824691 54444 http://cds.cern.ch/record/2956360/files/Figure_1.png 00000 Neutrino oscillation probability $P_{\nu_{\mu}^{} \rightarrow \nu_{e}^{}}$ as a function of neutrino energy $E_\nu^{}$ for the ESSnuSB setup. The first and second oscillation maxima are found around $E_\nu^{} \sim 0.65$~GeV and $0.25$~GeV, respectively. The probability is shown for $\delta_{\rm CP}^{} = 0$ (solid curve)$,\delta_{\rm CP}^{} = \pi/2$ (dashed curve)$, \delta_{\rm CP}^{} = \pi$ (dot-dashed curve) and $\delta_{\rm CP}^{} = 3\pi/2$ (dotted curve). Neutrino mass ordering is assumed to be NO. The shaded histogram represents the $\nu_\mu^{}$ fluxes that have been obtained at $100$~km distance. The neutrino fluxes have been obtained from Ref.~\cite{Alekou:2022emd}. 2824692 829759 http://cds.cern.ch/record/2956360/files/2603.02836.pdf Fulltext 2824693 115667 http://cds.cern.ch/record/2956360/files/Figure_3.png 00002 Atmospheric neutrino events expected for ESSnuSB FD. The expected $e$-like event (upper left) and $\mu$-like event (lower left) samples are shown for an equivalent of 5.4~Mt$\cdot$year exposure taking into account the detector effects. The relative differences in events computed for $\sin_{}^2 \theta_{23}^{} = 0.470$ and $\sin_{}^2 \theta_{23}^{} = 0.517$ are displayed for $e$-like events (upper right) and $\mu$-like events (lower right), where $\sin_{}^2 \theta_{23}^{} = 0.470$ is the central value. Neutrino mass ordering is assumed to be NO. 2824694 52064 http://cds.cern.ch/record/2956360/files/Figure_2.png 00001 Correlation between the neutrino oscillation probabilities $P(\nu_\mu^{} \rightarrow \nu_e^{})$ and $P(\overline{\nu}_\mu^{} \rightarrow \overline{\nu}_e^{})$ for super-beam neutrinos with baseline length $L = 360$~km. The probabilities are obtained for neutrino energies $E_\nu = 0.25$~GeV (left panel) and $0.65$~GeV (right panel), which coincide with the second oscillation maximum and the first oscillation maximum, respectively. The correlations are shown for NO (black curves) and IO (red curves) at $\sin_{}^2 \theta_{23}^{} = 0.470$ (solid curves) and $\sin_{}^2 \theta_{23}^{} = 0.423$ (dashed curves). Note that the probabilities are shown up to $0.10$ ($0.07$) for the second (first) oscillation maximum. 11 PREPRINT